diff --git a/.github/workflows/ci.yaml b/.github/workflows/ci.yaml new file mode 100644 index 0000000..6c63f9e --- /dev/null +++ b/.github/workflows/ci.yaml @@ -0,0 +1,30 @@ +name: CI + +on: + push: + branches: main + pull_request: + branches: main + +jobs: + build-linux: + runs-on: ubuntu-latest + strategy: + max-parallel: 5 + defaults: + run: + shell: bash -el {0} + steps: + - uses: actions/checkout@v3 + - name: Set up Conda + uses: conda-incubator/setup-miniconda@v2 + with: + environment-file: environmentCI.yml + python-version: 3.11.0 + auto-activate-base: true + - name: Lint with flake8 + run: | + python -V + conda info + # stop the build if there are Python syntax errors or undefined names + flake8 . --count --extend-ignore=E203 --show-source --statistics --max-line-length=119 diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..ecd80e1 --- /dev/null +++ b/.gitignore @@ -0,0 +1,156 @@ +joined_simple.csv +*.sh +*.png +*.pdf +*.eps +embed_cf/ + +outputs +znew_scripts +padchest_cf_images_v0 +cf_beta1balanced_scanner +cf_beta2balanced_scanner + + +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +pip-wheel-metadata/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +.python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# custom gitignores +**/outputs/ +**/test_outputs/ +**/.vscode/ +**/wandb/ +cifar-10-batches-py +*.tar.gz +causal-contrastive.code-workspace +**/dscm_checkpoints/ +/data/ +MNIST/ +playground.py diff --git a/README.md b/README.md new file mode 100644 index 0000000..9bda714 --- /dev/null +++ b/README.md @@ -0,0 +1,60 @@ +# CF-SimCLR: counterfactual contrastive learning + +This repository contains the code for the paper "Counterfactual contrastive learning: domain-aligned features for improved robustness to acquisition shift". + +![alt text](figure1.png) + +## Overview +The repository is divided in three main parts: +* The [causal_model/](causal_models/) folder contains all code related to counterfactual inference model training. It contains its own README, giving you all necessary commands to train a DSCM on EMBED and PadChest. +* The [classification/](classification/) folder contains all the code related to self-supervised training as well as finetuning for evaluation (see below). +* The [data_handling/](data_handling/) folder contains everything you need to define your dataset classes. In particular, it contains all the boilerplate for CF-SimCLR specific data loading. +* The [evaluation/](evaluation/) folder contains all the code related to test inference and results plotting for reproducing the plots from the paper. + + +## Prerequisites + +### Code dependencies +The code is written in PyTorch, with PyTorch Lightning. +You can install all our dependencies using our conda enviromnent requirements file `environment_gpu.yml'. + +### Datasets +You will need to download the relevant datasets to run our code. +You can find the datasets at XXX, XXXX, XXX. +Once you have downloaded the datasets, please update the corresponding paths at the top of the `mammo.py` and `xray.py` files. +Additionally, for EMBED you will need to preprocess the original dataframes with our script `data_handling/csv_generation_code/generate_embed_csv.ipynb`. Similarly for RSNA please run first `data_handling/csv_generation_code/rsna_generate_full_csv.py`. + + +## Full workflow example for training and evaluating CF-SimCLR +Here we'll run through an example to train and evaluate CF-SimCLR on EMBED + +1. Train a counterfactual image generation model with +``` +python causal_models/main.py --hps embed +``` + +2. Generate and save all counterfactuals from every image in the training set with +``` +python causal_models/save_embed_scanner_cf.py +``` + +3. Train the CF-SimCLR model +``` +python classification/train.py experiment=simclr_embed data.use_counterfactuals=True counterfactual_contrastive=True +``` +Alternatively to train a SimCLR baseline just run +``` +python classification/train.py experiment=simclr_embed +``` +Or to run the baseline with counterfactuals added to the training set without counterfactual contrastive objective +``` +python classification/train.py experiment=simclr_embed data.use_counterfactuals=True counterfactual_contrastive=False +``` + +4. Train classifier with linear finetuning or finetuning +``` +python classification/train.py experiment=base_density trainer.finetune_path=PATH_TO_ENCODER seed=33 trainer.freeze_encoder=True +``` +You can choose the proportion of labelled data to use for finetuning with the flag `data.prop_train=1.0` + +5. Evaluate on the test set by running the notebook `evaluation/embed_density.ipynb` to run and save inference results on the test set. diff --git a/__init__.py b/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/causal_models/README.md b/causal_models/README.md new file mode 100644 index 0000000..721ef4b --- /dev/null +++ b/causal_models/README.md @@ -0,0 +1,14 @@ +# Code for counterfactual image generation + +The code in this folder is adapted from the official code associated with the +'High Fidelity Image Counterfactuals with Probabilistic Causal Models' paper. Original code: [https://github.com/biomedia-mira/causal-gen](https://github.com/biomedia-mira/causal-gen). + +## Train the counterfactual inference model + +To train the counterfactual inference models in the paper you can simply run +`python causal_models/main.py --hps embed` replace by `padchest` if you want to train on chest x-rays. All associated hyperparameters are stored in `causal_models/hps.py`. + +This assumes you have already set up your data folders as per the main repository. + +## Generating and saving counterfactuals for contrastive training +To generate all possible domain counterfactuals given a trained model, you can use our predefined scripts: `save_embed_scanner_cf.py` and`save_padchest_scanner_cf.py`. Simply pass your checkpoint path and your target saving directory as command line arguments. diff --git a/causal_models/__init__.py b/causal_models/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/causal_models/counterfactual_evaluation/eval_embed.ipynb b/causal_models/counterfactual_evaluation/eval_embed.ipynb new file mode 100644 index 0000000..83934e4 --- /dev/null +++ b/causal_models/counterfactual_evaluation/eval_embed.ipynb @@ -0,0 +1,419 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import argparse\n", + "import copy\n", + "import sys\n", + "import seaborn as sns\n", + "from pathlib import Path\n", + "from sklearn.metrics import ConfusionMatrixDisplay, confusion_matrix\n", + "from datetime import datetime\n", + "import pandas as pd\n", + "\n", + "sys.path.append(\"/vol/biomedic3/mb121/causal-contrastive\")\n", + "from causal_models.train_setup import setup_dataloaders\n", + "\n", + "from sklearn.metrics import roc_auc_score, balanced_accuracy_score\n", + "\n", + "from causal_models.hps import Hparams\n", + "from causal_models.hvae import HVAE2\n", + "import torch\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from causal_models.trainer import preprocess_batch\n", + "from data_handling.mammo import modelname_map\n", + "\n", + "rev_model_map = {v: k for k, v in modelname_map.items()}\n", + "from classification.classification_module import ClassificationModule\n", + "\n", + "from causal_models.plotting_utils import (\n", + " MidpointNormalize,\n", + " plot_cxr_grid,\n", + " plot_counterfactual_viz_embed,\n", + ")\n", + "from pytorch_lightning import seed_everything\n", + "\n", + "from sklearn.pipeline import Pipeline\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "from sklearn.decomposition import PCA\n", + "from sklearn.model_selection import cross_val_score\n", + "import numpy as np\n", + "\n", + "\n", + "def load_vae_and_module(vae_path):\n", + " args = Hparams()\n", + " device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n", + " checkpoint = torch.load(vae_path, map_location=device)\n", + " args.update(checkpoint[\"hparams\"])\n", + " if not hasattr(args, \"cond_prior\"):\n", + " args.cond_prior = False\n", + " args.device = device\n", + " vae = HVAE2(args).to(args.device)\n", + " vae.load_state_dict(checkpoint[\"ema_model_state_dict\"])\n", + " vae = vae.eval()\n", + " dataloaders = setup_dataloaders(args, cache=False)\n", + " return vae, dataloaders, args\n", + "\n", + "\n", + "def plot_counterfactual_grid(gt, cf, rec):\n", + " n_images = gt.shape[0]\n", + " f, ax = plt.subplots(5, n_images, figsize=(25, 10))\n", + " plot_cxr_grid(gt, ax=ax[0])\n", + " plot_cxr_grid(rec, ax=ax[1])\n", + " plot_cxr_grid(\n", + " rec - gt,\n", + " ax=ax[2],\n", + " fig=f,\n", + " cmap=\"RdBu_r\",\n", + " cbar=True,\n", + " norm=MidpointNormalize(midpoint=0),\n", + " )\n", + " plot_cxr_grid(cf, ax=ax[3])\n", + " plot_cxr_grid(\n", + " cf - gt,\n", + " ax=ax[4],\n", + " fig=f,\n", + " cmap=\"RdBu_r\",\n", + " cbar=True,\n", + " norm=MidpointNormalize(midpoint=0),\n", + " )\n", + " plt.show()\n", + "\n", + "\n", + "def get_mae(ground_truth, counterfactual, indices=None):\n", + " if indices is None:\n", + " return (\n", + " np.abs(counterfactual - ground_truth)\n", + " .reshape(counterfactual.shape[0], -1)\n", + " .mean(1)\n", + " )\n", + " return (\n", + " np.abs(counterfactual[indices] - ground_truth[indices])\n", + " .reshape(indices.shape[0], -1)\n", + " .mean(1)\n", + " )\n", + "\n", + "\n", + "def get_cxr_counterfactuals(\n", + " model,\n", + " batch,\n", + " args,\n", + " s=0.0,\n", + " col=\"sex\",\n", + " cf_col_values=None,\n", + " partial_abduct=None,\n", + " plot=True,\n", + " t=0.1,\n", + " u_t=1.0,\n", + "):\n", + " model.cuda()\n", + " results = {}\n", + " _pa = torch.cat([batch[k] for k in args.parents_x], dim=1)\n", + " _pa = (\n", + " _pa[..., None, None]\n", + " .repeat(1, 1, *(args.input_res,) * 2)\n", + " .to(args.device)\n", + " .float()\n", + " )\n", + "\n", + " zs = model.abduct(x=batch[\"x\"].cuda(), parents=_pa.cuda(), t=t)\n", + " if model.cond_prior:\n", + " zs = [zs[j][\"z\"] for j in range(len(zs))]\n", + " if partial_abduct is not None:\n", + " zs = zs[:partial_abduct]\n", + "\n", + " px_loc, px_scale = model.forward_latents(zs, parents=_pa, t=t)\n", + "\n", + " cf_pa = {k: batch[k] for k in args.parents_x}\n", + " if cf_col_values is None:\n", + " if col == \"scanner\":\n", + " cf_pa[col] = torch.nn.functional.one_hot(\n", + " torch.randint_like(torch.argmax(cf_pa[col], 1), high=5), num_classes=5\n", + " )\n", + " do = {\"scanner\": cf_pa[col]}\n", + " elif col == \"view\":\n", + " cf_pa[\"view\"] = 1 - cf_pa[\"view\"]\n", + " do = {\"view\": cf_pa[col]}\n", + " elif col == \"density\":\n", + " cf_pa[col] = torch.nn.functional.one_hot(\n", + " torch.randint_like(torch.argmax(cf_pa[col], 1), high=4), num_classes=4\n", + " )\n", + " do = {\"density\": cf_pa[col]}\n", + " elif col == \"size\":\n", + " cf_pa[col] = cf_pa[col] * 1.3\n", + " do = {\"size\": cf_pa[col]}\n", + " else:\n", + " NotImplementedError\n", + " else:\n", + " NotImplementedError\n", + " if isinstance(col, str):\n", + " if cf_col_values.ndim == 1:\n", + " cf_pa[col] = cf_col_values.unsqueeze(1)\n", + " else:\n", + " cf_pa[col] = cf_col_values\n", + " else:\n", + " assert len(cf_col_values) == len(col)\n", + " for c, v in zip(col, cf_col_values):\n", + " cf_pa[c] = v\n", + " _cf_pa = torch.cat([cf_pa[k] for k in args.parents_x], dim=1)\n", + " _cf_pa = (\n", + " _cf_pa[..., None, None]\n", + " .repeat(1, 1, *(args.input_res,) * 2)\n", + " .to(args.device)\n", + " .float()\n", + " )\n", + " cf_loc, cf_scale = model.forward_latents(zs, parents=_cf_pa.cuda(), t=t)\n", + "\n", + " diff = cf_loc - px_loc\n", + " diff = diff - diff.mean(dim=[-1, -2], keepdim=True)\n", + " cf_loc = cf_loc + s * diff\n", + " u = (batch[\"x\"] - px_loc) / px_scale.clamp(min=1e-12)\n", + " cf_scale = cf_scale * u_t\n", + " cf_x = torch.clamp(cf_loc + cf_scale * u, min=-1, max=1)\n", + " results[\"DE\"] = cf_x.cpu()\n", + " results[\"REC\"] = px_loc.cpu()\n", + " results[\"GT\"] = batch[\"x\"].cpu()\n", + " if isinstance(col, list):\n", + " results[\"cf_col_values\"] = torch.cat([cf_pa[c] for c in col], 1)\n", + " else:\n", + " results[\"cf_col_values\"] = cf_pa[col]\n", + "\n", + " if plot:\n", + " f = plot_counterfactual_viz_embed(\n", + " args,\n", + " batch[\"x\"].cpu(),\n", + " cf_x.cpu(),\n", + " {k: batch[k] for k in args.parents_x},\n", + " cf_pa,\n", + " do,\n", + " results[\"REC\"],\n", + " save=False,\n", + " )\n", + " f.show()\n", + "\n", + " return results" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Effectiveness" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "model_path = (\n", + " \"/vol/biomedic3/mb121/causal-contrastive/outputs/scanner/beta1balanced/last.pt\"\n", + ")\n", + "seed_everything(33)\n", + "vae, dataloader, args = load_vae_and_module(model_path)\n", + "test_loader = dataloader[\"valid\"]\n", + "run_name = (\n", + " Path(model_path).parent.parent.stem\n", + " + Path(model_path).parent.stem\n", + " + datetime.now().strftime(\"%d%m/%H:%M\")\n", + ")\n", + "print(run_name)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "run_name = (\n", + " Path(model_path).parent.parent.stem\n", + " + Path(model_path).parent.stem\n", + " + datetime.now().strftime(\"%d%m/%H:%M\")\n", + ")\n", + "print(run_name)\n", + "\n", + "model_paths = {\n", + " \"view\": \"../outputs/run_o856uapk/best.ckpt\",\n", + " \"scanner\": \"../outputs/run_7cca8pla/best.ckpt\",\n", + " \"density\": \"../outputs/run_fnxsddjw/best.ckpt\",\n", + "}\n", + "\n", + "for column in [\"scanner\"]:\n", + " classification_model = ClassificationModule.load_from_checkpoint(\n", + " model_paths[column]\n", + " ).model.eval()\n", + " classification_model.cuda()\n", + " confs = []\n", + " labels = []\n", + " confs_true = []\n", + " true_label = []\n", + " all_feats = []\n", + " true_feats = []\n", + " with torch.no_grad():\n", + " for i, batch in enumerate(test_loader):\n", + " valid_indices = torch.where(batch[\"cview\"] == 0)[0]\n", + " batch = preprocess_batch(args, batch, expand_pa=False)\n", + " out_d = get_cxr_counterfactuals(\n", + " model=vae,\n", + " batch=batch,\n", + " args=args,\n", + " col=column,\n", + " plot=i < 5,\n", + " s=0.0,\n", + " t=0.5,\n", + " u_t=0.5,\n", + " )\n", + " label = out_d[\"cf_col_values\"].numpy()\n", + " inputs = (out_d[\"DE\"].to(args.device) + 1) / 2\n", + " feats = classification_model.get_features(inputs.cuda())\n", + " logits = classification_model.classify_features(feats).cpu()\n", + " feats = feats.cpu()\n", + " all_feats.append(feats)\n", + " probas = torch.softmax(logits, 1).numpy()\n", + " if column == \"2density\":\n", + " binproba = np.zeros((label.shape[0], 2))\n", + " binproba[:, 0] = probas[:, 0] + probas[:, 1]\n", + " binproba[:, 1] = probas[:, 2] + probas[:, 3]\n", + " confs.append(binproba)\n", + " else:\n", + " confs.append(probas[valid_indices])\n", + " labels.append(label[valid_indices])\n", + " inputs = (out_d[\"GT\"].to(args.device) + 1) / 2\n", + " feats = classification_model.get_features(inputs.cuda())\n", + " logits = classification_model.classify_features(feats).cpu()\n", + " feats = feats.cpu()\n", + " true_feats.append(feats)\n", + " probas = torch.softmax(logits, 1).numpy()\n", + " if column == \"2density\":\n", + " binproba = np.zeros((label.shape[0], 2))\n", + " binproba[:, 0] = probas[:, 0] + probas[:, 1]\n", + " binproba[:, 1] = probas[:, 2] + probas[:, 3]\n", + " confs_true.append(binproba)\n", + " else:\n", + " confs_true.append(probas[valid_indices])\n", + " true_label.append(batch[column][valid_indices].numpy())\n", + " if i % 50 == 0 and i > 0:\n", + " print(i)\n", + " print(np.concatenate(true_label).mean())\n", + " if i > 50:\n", + " break\n", + "\n", + " print(f\"Variable CF {column}\")\n", + " targets = np.concatenate(labels)\n", + " targets_true = np.concatenate(true_label)\n", + " all_feats = np.concatenate(all_feats)\n", + " true_feats = np.concatenate(true_feats)\n", + "\n", + " clf = Pipeline([(\"pca\", PCA(0.95)), (\"rf\", RandomForestClassifier(250))])\n", + " print(\n", + " cross_val_score(\n", + " clf,\n", + " X=np.concatenate((all_feats, true_feats)),\n", + " y=np.concatenate(\n", + " (np.ones(all_feats.shape[0]), np.zeros(true_feats.shape[0]))\n", + " ),\n", + " ).mean()\n", + " )\n", + "\n", + " if targets.shape[1] == 1:\n", + " targets = targets.reshape(-1)\n", + " targets_true = targets_true.reshape(-1)\n", + " elif column == \"2density\":\n", + " targets = np.argmax(targets, 1) > 1\n", + " targets_true = np.argmax(targets_true, 1) > 1\n", + " else:\n", + " targets = np.argmax(targets, 1)\n", + " targets_true = np.argmax(targets_true, 1)\n", + "\n", + " confs = np.concatenate(confs)\n", + " confs_true = np.concatenate(confs_true)\n", + "\n", + " res = {}\n", + "\n", + " bal_true = balanced_accuracy_score(targets_true, np.argmax(confs_true, 1))\n", + " bal_cf = balanced_accuracy_score(targets, np.argmax(confs, 1))\n", + "\n", + " print(f\"Balanced accuracy GT {bal_true:.3f}\")\n", + " print(f\"Balanced accuracy CF {bal_cf:.3f}\")\n", + "\n", + " res[\"run_name\"] = run_name\n", + " res[\"bal_true\"] = bal_true\n", + " res[\"bal_cf\"] = bal_cf\n", + "\n", + " cm_true = confusion_matrix(targets_true, np.argmax(confs_true, 1))\n", + " cm_cf = confusion_matrix(targets, np.argmax(confs, 1))\n", + "\n", + " res[\"cm_true\"] = cm_true.reshape(-1)\n", + " res[\"cm_cf\"] = cm_cf.reshape(-1)\n", + " res[\"cm_true\"] = \",\".join([str(i) for i in res[\"cm_true\"]])\n", + " res[\"cm_cf\"] = \",\".join([str(i) for i in res[\"cm_cf\"]])\n", + " res[\"cf_var\"] = column\n", + "\n", + " ConfusionMatrixDisplay.from_predictions(\n", + " targets,\n", + " np.argmax(confs, 1),\n", + " display_labels=[rev_model_map[i] for i in range(5)],\n", + " )\n", + " ConfusionMatrixDisplay.from_predictions(\n", + " targets,\n", + " np.argmax(confs, 1),\n", + " display_labels=[rev_model_map[i] for i in range(5)],\n", + " normalize=\"true\",\n", + " )\n", + "\n", + " if confs.shape[1] == 2:\n", + " roc_gt = roc_auc_score(targets_true, confs_true[:, 1])\n", + " roc_cf = roc_auc_score(targets, confs[:, 1])\n", + " print(f\"ROC-AUC GT {roc_gt:.3f}\")\n", + " print(f\"ROC-AUC CF {roc_cf:.3f}\")\n", + " res[\"roc_gt\"] = roc_gt\n", + " res[\"roc_cf\"] = roc_cf\n", + " else:\n", + " try:\n", + " roc_gt = roc_auc_score(targets_true, confs_true, multi_class=\"ovr\")\n", + " roc_cf = roc_auc_score(targets, confs, multi_class=\"ovr\")\n", + " print(f\"ROC-AUC GT {roc_gt:.3f}\")\n", + " print(f\"ROC-AUC CF {roc_cf:.3f}\")\n", + " res[\"roc_gt\"] = roc_gt\n", + " res[\"roc_cf\"] = roc_cf\n", + " except ValueError:\n", + " pass" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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 +} diff --git a/causal_models/counterfactual_evaluation/eval_padchest.ipynb b/causal_models/counterfactual_evaluation/eval_padchest.ipynb new file mode 100644 index 0000000..33f0bda --- /dev/null +++ b/causal_models/counterfactual_evaluation/eval_padchest.ipynb @@ -0,0 +1,309 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import argparse\n", + "import copy\n", + "import sys\n", + "import seaborn as sns\n", + "from pathlib import Path\n", + "from sklearn.metrics import ConfusionMatrixDisplay, confusion_matrix\n", + "from datetime import datetime\n", + "import pandas as pd\n", + "\n", + "sys.path.append(\"/vol/biomedic3/mb121/causal-contrastive\")\n", + "from causal_models.train_setup import setup_dataloaders\n", + "\n", + "from sklearn.metrics import roc_auc_score, balanced_accuracy_score\n", + "\n", + "from causal_models.hps import Hparams\n", + "from causal_models.hvae import HVAE2\n", + "import torch\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from causal_models.trainer import preprocess_batch\n", + "\n", + "from classification.classification_module import ClassificationModule\n", + "\n", + "from causal_models.plotting_utils import (\n", + " MidpointNormalize,\n", + " plot_cxr_grid,\n", + " plot_counterfactual_viz_mimic,\n", + ")\n", + "\n", + "\n", + "def load_vae_and_module(vae_path):\n", + " args = Hparams()\n", + " device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n", + " checkpoint = torch.load(vae_path, map_location=device)\n", + " args.update(checkpoint[\"hparams\"])\n", + " if not hasattr(args, \"cond_prior\"):\n", + " args.cond_prior = False\n", + " args.device = device\n", + " vae = HVAE2(args).to(args.device)\n", + " vae.load_state_dict(checkpoint[\"ema_model_state_dict\"])\n", + " vae = vae.eval()\n", + " dataloaders = setup_dataloaders(args, cache=False)\n", + " return vae, dataloaders, args\n", + "\n", + "\n", + "def get_cxr_counterfactuals(\n", + " model,\n", + " batch,\n", + " args,\n", + " s=0.0,\n", + " col=\"sex\",\n", + " plot=True,\n", + " t=0.1,\n", + " u_t=1.0,\n", + "):\n", + " model.cuda()\n", + " results = {}\n", + " _pa = torch.cat([batch[k] for k in args.parents_x], dim=1)\n", + " _pa = (\n", + " _pa[..., None, None]\n", + " .repeat(1, 1, *(args.input_res,) * 2)\n", + " .to(args.device)\n", + " .float()\n", + " )\n", + "\n", + " zs = model.abduct(x=batch[\"x\"].cuda(), parents=_pa.cuda(), t=t)\n", + " if model.cond_prior:\n", + " zs = [zs[j][\"z\"] for j in range(len(zs))]\n", + "\n", + " px_loc, px_scale = model.forward_latents(zs, parents=_pa, t=t)\n", + "\n", + " cf_pa = {k: batch[k] for k in args.parents_x}\n", + "\n", + " if col == \"scanner\":\n", + " cf_pa[col] = 1 - cf_pa[\"scanner\"]\n", + " do = {\"scanner\": cf_pa[col]}\n", + " elif col == \"sex\":\n", + " cf_pa[\"sex\"] = 1 - cf_pa[\"sex\"]\n", + " do = {\"sex\": cf_pa[col]}\n", + " else:\n", + " NotImplementedError\n", + "\n", + " _cf_pa = torch.cat([cf_pa[k] for k in args.parents_x], dim=1)\n", + " _cf_pa = (\n", + " _cf_pa[..., None, None]\n", + " .repeat(1, 1, *(args.input_res,) * 2)\n", + " .to(args.device)\n", + " .float()\n", + " )\n", + " cf_loc, cf_scale = model.forward_latents(zs, parents=_cf_pa.cuda(), t=t)\n", + "\n", + " diff = cf_loc - px_loc\n", + " diff = diff - diff.mean(dim=[-1, -2], keepdim=True)\n", + " cf_loc = cf_loc + s * diff\n", + " u = (batch[\"x\"] - px_loc) / px_scale.clamp(min=1e-12)\n", + " cf_scale = cf_scale * u_t\n", + " cf_x = torch.clamp(cf_loc + cf_scale * u, min=-1, max=1)\n", + " results[\"DE\"] = cf_x.cpu()\n", + " results[\"REC\"] = px_loc.cpu()\n", + " results[\"GT\"] = batch[\"x\"].cpu()\n", + " if isinstance(col, list):\n", + " results[\"cf_col_values\"] = torch.cat([cf_pa[c] for c in col], 1)\n", + " else:\n", + " results[\"cf_col_values\"] = cf_pa[col]\n", + "\n", + " if plot:\n", + " f = plot_counterfactual_viz_mimic(\n", + " args,\n", + " batch[\"x\"].cpu(),\n", + " cf_x.cpu(),\n", + " {k: batch[k] for k in args.parents_x},\n", + " cf_pa,\n", + " do,\n", + " results[\"REC\"],\n", + " save=False,\n", + " )\n", + " f.show()\n", + "\n", + " return results" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from classification.classification_module import ClassificationModule\n", + "\n", + "model_path = \"/vol/biomedic3/mb121/causal-contrastive/outputs/sex_scanner/beta3fixed/checkpoint.pt\"\n", + "vae, dataloader, args = load_vae_and_module(model_path)\n", + "test_loader = dataloader[\"valid\"]\n", + "run_name = Path(model_path).parent.stem + datetime.now().strftime(\"%d-%m-%y/%H-%M\")\n", + "print(run_name)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.pipeline import Pipeline\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "from sklearn.decomposition import PCA\n", + "from sklearn.model_selection import cross_val_score\n", + "\n", + "model_paths = {\n", + " \"sex\": \"../outputs/run_o856uapk/best.ckpt\",\n", + " \"scanner\": \"../outputs/run_o6i8yqna/best.ckpt\",\n", + "}\n", + "\n", + "for column in [\"scanner\"]:\n", + " classification_model = ClassificationModule.load_from_checkpoint(\n", + " model_paths[column]\n", + " ).model.eval()\n", + " classification_model.cuda()\n", + " confs = []\n", + " labels = []\n", + " confs_true = []\n", + " true_label = []\n", + " all_feats = []\n", + " true_feats = []\n", + " with torch.no_grad():\n", + " for i, batch in enumerate(test_loader):\n", + " batch = preprocess_batch(args, batch, expand_pa=False)\n", + " out_d = get_cxr_counterfactuals(\n", + " model=vae,\n", + " batch=batch,\n", + " args=args,\n", + " col=column,\n", + " plot=i < 1,\n", + " s=0.0,\n", + " t=0.5,\n", + " u_t=1.0,\n", + " )\n", + " label = out_d[\"cf_col_values\"].numpy()\n", + " inputs = (out_d[\"DE\"].to(args.device) + 1) / 2\n", + " feats = classification_model.get_features(inputs.cuda())\n", + " logits = classification_model.classify_features(feats).cpu()\n", + " feats = feats.cpu()\n", + " all_feats.append(feats)\n", + " probas = torch.softmax(logits, 1).numpy()\n", + " confs.append(probas)\n", + " labels.append(label)\n", + " inputs = (out_d[\"GT\"].to(args.device) + 1) / 2\n", + " feats = classification_model.get_features(inputs.cuda())\n", + " logits = classification_model.classify_features(feats).cpu()\n", + " feats = feats.cpu()\n", + " true_feats.append(feats)\n", + " probas = torch.softmax(logits, 1).numpy()\n", + " confs_true.append(probas)\n", + " true_label.append(batch[column].numpy())\n", + " if i % 50 == 0 and i > 0:\n", + " print(i)\n", + " print(np.concatenate(true_label).mean())\n", + " if i > 50:\n", + " break\n", + "\n", + " print(f\"Variable CF {column}\")\n", + " targets = np.concatenate(labels)\n", + " targets_true = np.concatenate(true_label)\n", + "\n", + " all_feats = np.concatenate(all_feats)\n", + " true_feats = np.concatenate(true_feats)\n", + "\n", + " clf = Pipeline([(\"pca\", PCA(0.95)), (\"rf\", RandomForestClassifier(250))])\n", + " print(\n", + " cross_val_score(\n", + " clf,\n", + " X=np.concatenate((all_feats, true_feats)),\n", + " y=np.concatenate(\n", + " (np.ones(all_feats.shape[0]), np.zeros(true_feats.shape[0]))\n", + " ),\n", + " ).mean()\n", + " )\n", + "\n", + " if targets.shape[1] == 1:\n", + " targets = targets.reshape(-1)\n", + " targets_true = targets_true.reshape(-1)\n", + " else:\n", + " targets = np.argmax(targets, 1)\n", + " targets_true = np.argmax(targets_true, 1)\n", + "\n", + " confs = np.concatenate(confs)\n", + " confs_true = np.concatenate(confs_true)\n", + "\n", + " res = {}\n", + "\n", + " bal_true = balanced_accuracy_score(targets_true, np.argmax(confs_true, 1))\n", + " bal_cf = balanced_accuracy_score(targets, np.argmax(confs, 1))\n", + "\n", + " print(f\"Balanced accuracy GT {bal_true:.3f}\")\n", + " print(f\"Balanced accuracy CF {bal_cf:.3f}\")\n", + "\n", + " res[\"run_name\"] = run_name\n", + " res[\"bal_true\"] = bal_true\n", + " res[\"bal_cf\"] = bal_cf\n", + "\n", + " cm_true = confusion_matrix(targets_true, np.argmax(confs_true, 1))\n", + " cm_cf = confusion_matrix(targets, np.argmax(confs, 1))\n", + "\n", + " res[\"cm_true\"] = cm_true.reshape(-1)\n", + " res[\"cm_cf\"] = cm_cf.reshape(-1)\n", + " res[\"cm_true\"] = \",\".join([str(i) for i in res[\"cm_true\"]])\n", + " res[\"cm_cf\"] = \",\".join([str(i) for i in res[\"cm_cf\"]])\n", + " res[\"cf_var\"] = column\n", + " ConfusionMatrixDisplay.from_predictions(targets, np.argmax(confs, 1))\n", + " ConfusionMatrixDisplay.from_predictions(\n", + " targets, np.argmax(confs, 1), normalize=\"true\"\n", + " )\n", + "\n", + " if confs.shape[1] == 2:\n", + " roc_gt = roc_auc_score(targets_true, confs_true[:, 1])\n", + " roc_cf = roc_auc_score(targets, confs[:, 1])\n", + " print(f\"ROC-AUC GT {roc_gt:.3f}\")\n", + " print(f\"ROC-AUC CF {roc_cf:.3f}\")\n", + " res[\"roc_gt\"] = roc_gt\n", + " res[\"roc_cf\"] = roc_cf\n", + " else:\n", + " try:\n", + " roc_gt = roc_auc_score(targets_true, confs_true, multi_class=\"ovr\")\n", + " roc_cf = roc_auc_score(targets, confs, multi_class=\"ovr\")\n", + " print(f\"ROC-AUC GT {roc_gt:.3f}\")\n", + " print(f\"ROC-AUC CF {roc_cf:.3f}\")\n", + " res[\"roc_gt\"] = roc_gt\n", + " res[\"roc_cf\"] = roc_cf\n", + " except ValueError:\n", + " pass" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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 +} diff --git a/causal_models/hps.py b/causal_models/hps.py new file mode 100644 index 0000000..f7a63c8 --- /dev/null +++ b/causal_models/hps.py @@ -0,0 +1,223 @@ +import copy + +HPARAMS_REGISTRY = {} + + +class Hparams: + def update(self, dict): + for k, v in dict.items(): + setattr(self, k, v) + + +embed = Hparams() +embed.input_channels = 1 +embed.lr = 1e-3 +embed.wd = 1e-3 # 0.05 +embed.lr_warmup_steps = 100 +embed.bottleneck = 4 +embed.cond_prior = True +embed.z_max_res = 128 +embed.z_dim = [48, 30, 24, 18, 12, 6, 1] # 16 +embed.input_res = 224 +embed.enc_arch = "224b2d2,112b4d2,56b9d2,28b14d2,14b14d2,7b9d7,1b5" +embed.dec_arch = "1b5,7b10,14b15,28b15,56b10,112b5,224b3" +embed.widths = [32, 64, 96, 128, 160, 192, 512] +embed.parents_x = ["scanner"] +embed.context_dim = 5 +embed.z_max_res = 96 +embed.eval_freq = 1 +embed.grad_clip = 350 +embed.grad_skip = 25000 +embed.beta = 3.0 +embed.accu_steps = 2 +embed.bias_max_res = 64 +embed.x_like = "fixed_dgauss" +embed.std_init = 1e-2 +HPARAMS_REGISTRY["embed"] = embed + +padchest = copy.deepcopy(embed) +padchest.parents_x = ["scanner", "sex"] +padchest.context_dim = 2 +HPARAMS_REGISTRY["padchest"] = padchest + + +def setup_hparams(parser): + hparams = Hparams() + args = parser.parse_known_args()[0] + valid_args = set(args.__dict__.keys()) + hparams_dict = HPARAMS_REGISTRY[args.hps].__dict__ + for k in hparams_dict.keys(): + if k not in valid_args: + raise ValueError(f"{k} not in default args") + parser.set_defaults(**hparams_dict) + hparams.update(parser.parse_known_args()[0].__dict__) + return hparams + + +def add_arguments(parser): + parser.add_argument("--exp_name", help="Experiment name.", type=str, default="") + parser.add_argument( + "--data_dir", help="Data directory to load form.", type=str, default="" + ) + parser.add_argument("--hps", help="hyperparam set.", type=str, default="ukbb64") + parser.add_argument( + "--resume", help="Path to load checkpoint.", type=str, default="" + ) + parser.add_argument("--seed", help="Set random seed.", type=int, default=7) + parser.add_argument( + "--deterministic", + help="Toggle cudNN determinism.", + action="store_true", + default=False, + ) + # training + parser.add_argument("--epochs", help="Training epochs.", type=int, default=5000) + parser.add_argument("--lr", help="Learning rate.", type=float, default=1e-3) + parser.add_argument( + "--lr_warmup_steps", help="lr warmup steps.", type=int, default=100 + ) + parser.add_argument("--wd", help="Weight decay penalty.", type=float, default=0.01) + parser.add_argument( + "--betas", + help="Adam beta parameters.", + nargs="+", + type=float, + default=[0.9, 0.9], + ) + parser.add_argument( + "--ema_rate", help="Exp. moving avg. model rate.", type=float, default=0.999 + ) + parser.add_argument( + "--input_res", help="Input image crop resolution.", type=int, default=64 + ) + parser.add_argument( + "--input_channels", help="Input image num channels.", type=int, default=1 + ) + parser.add_argument( + "--grad_clip", help="Gradient clipping value.", type=float, default=350 + ) + parser.add_argument( + "--grad_skip", help="Skip update grad norm threshold.", type=float, default=500 + ) + parser.add_argument( + "--accu_steps", help="Gradient accumulation steps.", type=int, default=1 + ) + parser.add_argument( + "--beta", help="Max KL beta penalty weight.", type=float, default=1.0 + ) + parser.add_argument( + "--beta_warmup_steps", help="KL beta penalty warmup steps.", type=int, default=0 + ) + parser.add_argument( + "--kl_free_bits", help="KL min free bits constraint.", type=float, default=0.0 + ) + parser.add_argument( + "--viz_freq", help="Steps per visualisation.", type=int, default=5000 + ) + parser.add_argument( + "--eval_freq", help="Train epochs per validation.", type=int, default=5 + ) + parser.add_argument( + "--enc_arch", + help="Encoder architecture config.", + type=str, + default="64b1d2,32b1d2,16b1d2,8b1d8,1b2", + ) + parser.add_argument( + "--dec_arch", + help="Decoder architecture config.", + type=str, + default="1b2,8b2,16b2,32b2,64b2", + ) + parser.add_argument( + "--cond_prior", + help="Use a conditional prior.", + action="store_true", + default=False, + ) + parser.add_argument( + "--widths", + help="Number of channels.", + nargs="+", + type=int, + default=[16, 32, 48, 64, 128], + ) + parser.add_argument( + "--bottleneck", help="Bottleneck width factor.", type=int, default=4 + ) + parser.add_argument( + "--z_dim", help="Numver of latent channel dims.", type=int, default=16 + ) + parser.add_argument( + "--z_max_res", + help="Max resolution of stochastic z layers.", + type=int, + default=192, + ) + parser.add_argument( + "--bias_max_res", + help="Learned bias param max resolution.", + type=int, + default=64, + ) + parser.add_argument( + "--x_like", + help="x likelihood: {fixed/shared/diag}_{gauss/dgauss}.", + type=str, + default="diag_dgauss", + ) + parser.add_argument( + "--std_init", + help="Initial std for x scale. 0 is random.", + type=float, + default=0.0, + ) + parser.add_argument( + "--parents_x", + help="Parents of x to condition on.", + nargs="+", + default=["mri_seq", "brain_volume", "ventricle_volume", "sex"], + ) + parser.add_argument( + "--concat_pa", + help="Whether to concatenate parents_x.", + action="store_true", + default=True, + ) + parser.add_argument( + "--context_dim", + help="Num context variables conditioned on.", + type=int, + default=4, + ) + parser.add_argument( + "--context_norm", + help='Conditioning normalisation {"[-1,1]"/"[0,1]"/log_standard}.', + type=str, + default="log_standard", + ) + parser.add_argument( + "--q_correction", + help="Use posterior correction.", + action="store_true", + default=False, + ) + parser.add_argument( + "--cond_drop", + help="Use counterfactual dropout", + action="store_true", + default=False, + ) + parser.add_argument( + "--embd_dim", + help="Embedding dim", + type=int, + default=32, + ) + parser.add_argument( + "--p_dropout", + help="Block dropout", + type=float, + default=0.1, + ) + return parser diff --git a/causal_models/hvae.py b/causal_models/hvae.py new file mode 100644 index 0000000..3599a11 --- /dev/null +++ b/causal_models/hvae.py @@ -0,0 +1,420 @@ +import numpy as np +import torch +import torch.distributions as dist +import torch.nn as nn +import torch.nn.functional as F + +act = nn.Softplus(beta=np.log(2)) + + +def gaussian_kl(q_loc, q_logscale, p_loc, p_logscale): + q_scale = act(q_logscale) + p_scale = act(p_logscale) + out = dist.kl_divergence( + dist.Normal(q_loc, q_scale), + dist.Normal(p_loc, p_scale), + ) + return out + + +@torch.jit.script +def sample_gaussian(loc, logscale): + return loc + act(logscale) * torch.randn_like(loc) + + +def zero_module(module): + for p in module.parameters(): + p.detach().zero_() + return module + + +class Block(nn.Module): + def __init__( + self, + args, + in_width, + out_width, + kernel_size=3, + residual=True, + down_rate=None, + condition=True, + ): + super().__init__() + self.down = down_rate + self.residual = residual + self.condition = condition + bottleneck = int(in_width / args.bottleneck) + padding = 0 if kernel_size == 1 else 1 + + activation = nn.SiLU() + self.conv = nn.Sequential( + nn.GroupNorm(min(32, in_width // 4), in_width), + activation, + nn.Conv2d(in_width, bottleneck, kernel_size, 1, padding), + ) + self.conv2 = nn.Sequential( + nn.GroupNorm(min(32, bottleneck // 4), bottleneck), + activation, + nn.Dropout(p=args.p_dropout), + zero_module(nn.Conv2d(bottleneck, out_width, kernel_size, 1, padding)), + ) + + if self.condition: + self.pa_proj = nn.Sequential( + activation, nn.Linear(args.embd_dim, bottleneck) + ) + + if self.residual: + if in_width != out_width: + self.skip_conn = nn.Conv2d(in_width, out_width, 1, 1) + else: + self.skip_conn = nn.Identity() + + def forward(self, x, pa=None): + out = self.conv(x) + out = out + self.pa_proj(pa)[..., None, None] if self.condition else out + out = self.conv2(out) + out = out + self.skip_conn(x) if self.residual else out + if self.down: + if isinstance(self.down, float): + out = F.adaptive_avg_pool2d(out, int(out.shape[-1] / self.down)) + else: + out = F.avg_pool2d(out, kernel_size=self.down, stride=self.down) + return out + + +class Encoder(nn.Module): + def __init__(self, args): + super().__init__() + # parse architecture + stages = [] + for i, stage in enumerate(args.enc_arch.split(",")): + start = stage.index("b") + 1 + end = stage.index("d") if "d" in stage else None + n_blocks = int(stage[start:end]) + + if i == 0: # define network stem + if n_blocks == 0 and "d" not in stage: + print("Using stride=2 conv encoder stem.") + stem_width, stem_stride = args.widths[1], 2 + continue + else: + stem_width, stem_stride = args.widths[0], 1 + self.stem = nn.Conv2d( + args.input_channels, + stem_width, + kernel_size=7, + stride=stem_stride, + padding=3, + ) + + stages += [(args.widths[i], None) for _ in range(n_blocks)] + if "d" in stage: # downsampling block + down = stage[stage.index("d") + 1 :] # noqa + down = float(down) if "." in down else int(down) + stages += [(args.widths[i + 1], down)] + blocks = [] + for i, (width, d) in enumerate(stages): + prev_width = stages[max(0, i - 1)][0] + blocks.append(Block(args, prev_width, width, down_rate=d, condition=False)) + self.blocks = nn.ModuleList(blocks) + + def forward(self, x): + x = self.stem(x) + acts = {} + for block in self.blocks: + x = block(x) + acts[x.size(-1)] = x + return acts + + +class DecoderBlock(nn.Module): + def __init__(self, args, in_width, out_width, z_dim, resolution): + super().__init__() + self.res = resolution + self.stochastic = self.res <= args.z_max_res + self.z_dim = z_dim + self.cond_prior = args.cond_prior + self.q_correction = args.q_correction + k = 3 if self.res > 2 else 1 + + self.prior = Block( + args, + in_width, + 2 * self.z_dim + in_width, + kernel_size=k, + residual=False, + condition=self.cond_prior, + ) + if self.stochastic: + self.posterior = Block( + args, + 2 * in_width, + 2 * self.z_dim, + kernel_size=k, + residual=False, + ) + self.z_proj = nn.Conv2d(self.z_dim, in_width, 1) + if not self.q_correction: # for no posterior correction + self.z_feat_proj = nn.Conv2d(self.z_dim + in_width, out_width, 1) + self.conv = Block(args, in_width, out_width, kernel_size=k) + + def forward_prior(self, z, pa=None, t=None): + pz = self.prior(z, pa) + p_loc = pz[:, : self.z_dim, ...] + p_logscale = pz[:, self.z_dim : 2 * self.z_dim, ...] # noqa + p_features = pz[:, 2 * self.z_dim :, ...] # noqa + if t is not None: + p_logscale = p_logscale + torch.tensor(t, device=z.device).log() + return p_loc, p_logscale, p_features + + def forward_posterior(self, z, x, pa, t=None): + h = torch.cat([z, x], dim=1) # previous z and obs x + q_loc, q_logscale = self.posterior(h, pa).chunk(2, dim=1) + if t is not None: + q_logscale = q_logscale + torch.tensor(t, device=z.device).log() + return q_loc, q_logscale + + +class Decoder(nn.Module): + def __init__(self, args): + super().__init__() + # parse architecture + stages = [] + rev_widths = args.widths[::-1] + for i, stage in enumerate(args.dec_arch.split(",")): + res = int(stage.split("b")[0]) + n_blocks = int(stage[stage.index("b") + 1 :]) # noqa + stages += [(res, rev_widths[i], args.z_dim[i]) for _ in range(n_blocks)] + self.blocks = [] + for i, (res, width, z_dim) in enumerate(stages): + next_width = stages[min(len(stages) - 1, i + 1)][1] + self.blocks.append(DecoderBlock(args, width, next_width, z_dim, res)) + self.blocks = nn.ModuleList(self.blocks) + # bias params + self.all_res = list(np.unique([stages[i][0] for i in range(len(stages))])) + bias = [] + for i, res in enumerate(self.all_res): + if res <= args.bias_max_res: + bias.append(nn.Parameter(torch.zeros(1, rev_widths[i], res, res))) + self.bias = nn.ParameterList(bias) + self.cond_prior = args.cond_prior + + self.pa_embd = nn.Sequential( + nn.Linear(args.context_dim, args.embd_dim), + nn.SiLU(), + nn.Linear(args.embd_dim, args.embd_dim), + ) + + def forward(self, parents, x=None, t=None, abduct=False, latents=[]): + # learnt params for each resolution r + bias = {r.shape[2]: r for r in self.bias} + h = bias[self.all_res[0]].repeat(parents.shape[0], 1, 1, 1) # h_init + z = h # for exogenous prior + pa = self.pa_embd(parents[:, :, 0, 0]) + + pa_sto = pa_det = pa + + stats = [] + for i, block in enumerate(self.blocks): + res = block.res # current block resolution, e.g. 64x64 + if h.size(-1) < res: # upsample previous layer output + b = bias[res] if res in bias.keys() else 0 # broadcasting + h = b + F.interpolate(h, scale_factor=res / h.shape[-1]) + + if block.q_correction: + p_input = h # current prior depends on previous posterior + else: # current prior depends on previous prior only, upsample previous prior latent z + p_input = ( + b + F.interpolate(z, scale_factor=res / z.shape[-1]) + if z.size(-1) < res + else z + ) + p_loc, p_logscale, p_feat = block.forward_prior(p_input, pa_sto, t=t) + + if block.stochastic: + if x is not None: # z_i ~ q(z_i | z_ 0 + self.logscale = torch.log(torch.tensor(args.std_init)).float() + + def forward(self, h, x=None, t=None): + loc, log_scale = self.x_loc(h), self.x_logscale(h) + if self.covariance != "fixed": + log_scale = self.x_logscale(h) + else: + log_scale = ( + torch.ones_like(loc, requires_grad=False, device=loc.device) + * self.logscale + ) + + if t is not None: + log_scale = log_scale + torch.tensor(t, device=h.device).log() + return loc, log_scale + + def approx_cdf(self, x): + return 0.5 * ( + 1.0 + torch.tanh(np.sqrt(2.0 / np.pi) * (x + 0.044715 * torch.pow(x, 3))) + ) + + def nll(self, h, x): + loc, logscale = self.forward(h, x) + centered_x = x - loc + std = act(logscale) + prec = 1 / std + plus_in = prec * (centered_x + 1.0 / 255.0) + cdf_plus = self.approx_cdf(plus_in) + min_in = prec * (centered_x - 1.0 / 255.0) + cdf_min = self.approx_cdf(min_in) + log_cdf_plus = torch.log(cdf_plus.clamp(min=1e-12)) + log_one_minus_cdf_min = torch.log((1.0 - cdf_min).clamp(min=1e-12)) + cdf_delta = cdf_plus - cdf_min + log_probs = torch.where( + x < -0.999, + log_cdf_plus, + torch.where( + x > 0.999, log_one_minus_cdf_min, torch.log(cdf_delta.clamp(min=1e-12)) + ), + ) + return -1.0 * log_probs.mean(dim=(1, 2, 3)) + + def sample(self, h, return_loc=True, t=None): + if return_loc: + x, log_scale = self.forward(h) + else: + loc, log_scale = self.forward(h, t) + x = loc + act(log_scale) * torch.randn_like(loc) + x = torch.clamp(x, min=-1.0, max=1.0) + return x, act(log_scale) + + +class HVAE2(nn.Module): + def __init__(self, args): + super().__init__() + self.encoder = Encoder(args) + self.decoder = Decoder(args) + if args.x_like.split("_")[1] == "dgauss": + self.likelihood = DGaussNet(args) + else: + NotImplementedError(f"{args.x_like} not implemented.") + self.cond_prior = args.cond_prior + self.free_bits = args.kl_free_bits + self.register_buffer("log2", torch.tensor(2.0).log()) + + def forward(self, x, parents, beta=1): + acts = self.encoder(x) + h, stats = self.decoder(parents=parents, x=acts) + nll_pp = self.likelihood.nll(h, x) + if self.free_bits > 0: + free_bits = torch.tensor(self.free_bits).type_as(nll_pp) + kl_pp = 0.0 + for stat in stats: + kl_pp += torch.maximum( + free_bits, stat["kl"].sum(dim=(2, 3)).mean(dim=0) + ).sum() + else: + kl_pp = torch.zeros_like(nll_pp) + for _, stat in enumerate(stats): + kl_pp += stat["kl"].sum(dim=(1, 2, 3)) + kl_pp = kl_pp / np.prod(x.shape[1:]) # per pixel + kl_pp = kl_pp.mean() + nll_pp = nll_pp.mean() + nelbo = nll_pp + beta * kl_pp # negative elbo (free energy) + return dict(elbo=nelbo, nll=nll_pp, kl=kl_pp) + + def sample(self, parents, return_loc=True, t=None): + h, _ = self.decoder(parents=parents, t=t) + return self.likelihood.sample(h, return_loc, t=t) + + def abduct(self, x, parents, cf_parents=None, t=None, alpha=0.8): + acts = self.encoder(x) + _, q_stats = self.decoder( + x=acts, parents=parents, abduct=True, t=t + ) # q(z|x,pa) + q_stats = [s["z"] for s in q_stats] + + if self.cond_prior and cf_parents is not None: + _, p_stats = self.decoder(parents=cf_parents, abduct=True, t=t) # p(z|pa*) + p_stats = [s["z"] for s in p_stats] + + cf_zs = [] + t = torch.tensor(t, device=x.device) # z* sampling temperature + + for i in range(len(q_stats)): + # from z_i ~ q(z_i | z_{ 1 else j + ax = [ax] if n == 1 else ax + _x = x[i * n + j].squeeze() + if _x.shape[0] == 3: + _x = np.transpose(_x, [1, 2, 0]).int() + if norm is not None: + norm = MidpointNormalize(vmin=_x.min(), midpoint=0, vmax=_x.max()) + _im = ax[idx].imshow(_x, cmap=cmap, norm=norm) + im.append(_im) + ax[idx].axes.xaxis.set_ticks([]) + ax[idx].axes.yaxis.set_ticks([]) + + plt.tight_layout() + + if cbar: + if fig: + fig.subplots_adjust(wspace=-0.3, hspace=0.3) + for i in range(m): + for j in range(n): + idx = [i, j] if m > 1 else j + cbar_ax = fig.add_axes( + [ + ax[idx].get_position().x0, + ax[idx].get_position().y0 - 0.02, + ax[idx].get_position().width, + 0.01, + ] + ) + # , ticks=mticker.MultipleLocator(25)) #, ticks=mticker.AutoLocator()) + cbar = plt.colorbar( + im[i * n + j], cax=cbar_ax, orientation="horizontal" + ) + _x = x[i * n + j].squeeze() + + d = 20 + _vmin, _vmax = _x.min().abs().item(), _x.max().item() + _vmin = -(_vmin - (_vmin % d)) + _vmax = _vmax - (_vmax % d) + + lt = [_vmin, 0, _vmax] + + if (np.abs(_vmin) - 0) > d: + lt.insert(1, _vmin // 2) + if (_vmax - 0) > d: + lt.insert(-2, _vmax // 2) + + cbar.set_ticks(lt) + cbar.outline.set_visible(False) + return fig, ax + + +def undo_norm(pa): + # reverse [-1,1] parent preprocessing back to original range + for k, v in pa.items(): + if k == "age": + pa[k] = (v + 1) / 2 * 100 # [-1,1] -> [0,100] + return pa + + +@torch.no_grad() +def plot_counterfactual_viz_mimic(args, x, cf_x, pa, cf_pa, do, rec_loc, save=True): + fs = 15 + m, s = 6, 3 + n = 8 + fig, ax = plt.subplots(m, n, figsize=(n * s - 2, m * s)) + x = (x[:n].detach().cpu() + 1) * 127.5 + _, _ = plot_cxr_grid(x, ax=ax[0]) + + cf_x = (cf_x[:n].detach().cpu() + 1) * 127.5 + rec_loc = (rec_loc[:n].detach().cpu() + 1) * 127.5 + _, _ = plot_cxr_grid(rec_loc, ax=ax[1]) + _, _ = plot_cxr_grid(cf_x, ax=ax[2]) + _, _ = plot_cxr_grid( + rec_loc - x, + ax=ax[3], + fig=fig, + cmap="RdBu_r", + cbar=True, + norm=MidpointNormalize(midpoint=0), + ) + _, _ = plot_cxr_grid( + cf_x - x, + ax=ax[4], + fig=fig, + cmap="RdBu_r", + cbar=True, + norm=MidpointNormalize(midpoint=0), + ) + _, _ = plot_cxr_grid( + cf_x - rec_loc, + ax=ax[5], + fig=fig, + cmap="RdBu_r", + cbar=True, + norm=MidpointNormalize(midpoint=0), + ) + + for j in range(n): + msg = "" + for i, (k, v) in enumerate(do.items()): + if k == "sex": + sex_categories = ["male", "female"] # 0,1 + vv = sex_categories[int(v[j].item())] + kk = "s" + if k == "scanner": + vv = str(int(v[j].item())) + kk = "sca" + else: + kk = k + vv = str(v[j]) + msg += kk + "{{=}}" + vv + msg += ", " if (i + 1) < len(list(do.keys())) else "" + ax[1, j].set_title("rec_loc") + ax[2, j].set_title(rf"do(${msg}$)", fontsize=fs - 2, pad=8) + ax[3, j].set_title("rec_loc - x") + ax[4, j].set_title( + "cf_loc - x", + pad=8, + fontsize=fs - 5, + multialignment="center", + linespacing=1.5, + ) + ax[5, j].set_title("cf_loc - rec_loc") + + if save: + fig.savefig( + os.path.join(args.save_dir, f"viz-{args.iter}.png"), bbox_inches="tight" + ) + return + + return fig + + +@torch.no_grad() +def plot_counterfactual_viz_embed(args, x, cf_x, pa, cf_pa, do, rec_loc, save=True): + # do = undo_norm(do) + pa = undo_norm(pa) + cf_pa = undo_norm(cf_pa) + + fs = 15 + m, s = 6, 3 + n = 8 + fig, ax = plt.subplots(m, n, figsize=(n * s - 2, m * s)) + x = (x[:n].detach().cpu() + 1) * 127.5 + _, _ = plot_cxr_grid(x, ax=ax[0]) + + cf_x = (cf_x[:n].detach().cpu() + 1) * 127.5 + rec_loc = (rec_loc[:n].detach().cpu() + 1) * 127.5 + _, _ = plot_cxr_grid(rec_loc, ax=ax[1]) + _, _ = plot_cxr_grid(cf_x, ax=ax[2]) + _, _ = plot_cxr_grid( + rec_loc - x, + ax=ax[3], + fig=fig, + cmap="RdBu_r", + cbar=True, + norm=MidpointNormalize(midpoint=0), + ) + _, _ = plot_cxr_grid( + cf_x - x, + ax=ax[4], + fig=fig, + cmap="RdBu_r", + cbar=True, + norm=MidpointNormalize(midpoint=0), + ) + _, _ = plot_cxr_grid( + cf_x - rec_loc, + ax=ax[5], + fig=fig, + cmap="RdBu_r", + cbar=True, + norm=MidpointNormalize(midpoint=0), + ) + scanner_categories = [ + "Selenia Dimensions", + "Senographe Pristina", + "Senograph 2000D", + "Lorad Selenia", + "Clearview CSm", + ] + + for j in range(n): + msg = "" + for i, (k, v) in enumerate(do.items()): + if k == "scanner": + if isinstance(v[j], str): + vv = v[j] + else: + vv = scanner_categories[int(torch.argmax(v[j], dim=-1))] + kk = "sc" + else: + kk = k + vv = str(v[j]) + msg += kk + "{{=}}" + vv + msg += ",\n" if (i + 1) < len(list(do.keys())) else "" + + title = "" + if "scanner" in pa.keys(): + scan = scanner_categories[int(torch.argmax(pa["scanner"][j], dim=-1))] + title += f"scn={scan}\n" + ax[0, j].set_title( + title, + pad=8, + fontsize=fs - 5, + multialignment="center", + linespacing=1.5, + ) + ax[1, j].set_title("rec_loc") + ax[2, j].set_title(rf"do(${msg}$)", fontsize=fs - 2, pad=8) + ax[3, j].set_title("rec_loc - x") + ax[4, j].set_title( + "cf_loc - x", + pad=8, + fontsize=fs - 5, + multialignment="center", + linespacing=1.5, + ) + ax[5, j].set_title("cf_loc - rec_loc") + + if save: + fig.savefig( + os.path.join(args.save_dir, f"viz-{args.iter}.png"), bbox_inches="tight" + ) + return + else: + return fig + + +def write_images(args, model, batch): + # reconstructions, first abduct z from q(z|x,pa) + zs = model.abduct(x=batch["x"], parents=batch["pa"]) + if model.cond_prior: + zs = [zs[j]["z"] for j in range(len(zs))] + if "padchest" in args.hps: + pa = {k: batch[k] for k in args.parents_x} + _pa = torch.cat([batch[k] for k in args.parents_x], dim=1) + _pa = ( + _pa[..., None, None] + .repeat(1, 1, *(args.input_res,) * 2) + .to(args.device) + .float() + ) + + rec_loc, _ = model.forward_latents(zs, parents=_pa) + # counterfactuals (focus on changing scanner) + cf_pa = copy.deepcopy(pa) + cf_pa = {k: batch[k] for k in args.parents_x} + cf_pa["scanner"] = 1 - cf_pa["scanner"] + do = {"scanner": cf_pa["scanner"]} + _cf_pa = torch.cat([cf_pa[k] for k in args.parents_x], dim=1) + _cf_pa = ( + _cf_pa[..., None, None] + .repeat(1, 1, *(args.input_res,) * 2) + .to(args.device) + .float() + ) + cf_loc, _ = model.forward_latents(zs, parents=_cf_pa) + + # plot this figure + return plot_counterfactual_viz_mimic( + args, batch["x"], cf_loc, pa, cf_pa, do, rec_loc + ) + + elif "embed" in args.hps: + pa = {k: batch[k] for k in args.parents_x} + _pa = torch.cat([batch[k] for k in args.parents_x], dim=1) + _pa = ( + _pa[..., None, None] + .repeat(1, 1, *(args.input_res,) * 2) + .to(args.device) + .float() + ) + + rec_loc, _ = model.forward_latents(zs, parents=_pa) + # counterfactuals (focus on changing sex) + cf_pa = copy.deepcopy(pa) + cf_pa = {k: batch[k] for k in args.parents_x} + cf_pa["scanner"] = torch.nn.functional.one_hot( + torch.randint_like(torch.argmax(cf_pa["scanner"], 1), high=5), num_classes=5 + ) + do = {"scanner": cf_pa["scanner"]} + _cf_pa = torch.cat([cf_pa[k] for k in args.parents_x], dim=1) + _cf_pa = ( + _cf_pa[..., None, None] + .repeat(1, 1, *(args.input_res,) * 2) + .to(args.device) + .float() + ) + cf_loc, _ = model.forward_latents(zs, parents=_cf_pa) + + # plot this figure + plot_counterfactual_viz_embed(args, batch["x"], cf_loc, pa, cf_pa, do, rec_loc) + del rec_loc, cf_loc + return + else: + raise NotImplementedError diff --git a/causal_models/save_embed_scanner_cf.py b/causal_models/save_embed_scanner_cf.py new file mode 100644 index 0000000..7826e61 --- /dev/null +++ b/causal_models/save_embed_scanner_cf.py @@ -0,0 +1,113 @@ +from pathlib import Path +from tqdm import tqdm + +import torch +import numpy as np +from causal_models.trainer import preprocess_batch + +from torchvision.transforms import CenterCrop +from causal_models.hps import Hparams +from causal_models.hvae import HVAE2 +from causal_models.train_setup import setup_dataloaders + + +def load_vae_and_module(vae_path): + args = Hparams() + device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") + checkpoint = torch.load(vae_path, map_location=device) + args.update(checkpoint["hparams"]) + if not hasattr(args, "cond_prior"): + args.cond_prior = False + args.device = device + vae = HVAE2(args).to(args.device) + vae.load_state_dict(checkpoint["ema_model_state_dict"]) + vae = vae.eval() + dataloaders = setup_dataloaders(args, cache=False, shuffle_train=False) + return vae, dataloaders, args + + +if __name__ == "__main__": + import argparse + + parser = argparse.ArgumentParser() + from PIL import Image + + parser.add_argument( + "--vae_path", + default="/vol/biomedic3/mb121/causal-contrastive/outputs/scanner/beta1balanced/last_19.pt", + ) + parser.add_argument("--loader", default="train", type=str) + parser.add_argument( + "--folder_for_counterfactuals", + default="cf_beta1balanced_scanner", + ) + parsed_args = parser.parse_args() + model, dataloader, args = load_vae_and_module(parsed_args.vae_path) + + if parsed_args.loader == "all": + splits = ["train", "valid", "test"] + else: + assert parsed_args.loader in ["train", "valid", "test"] + splits = [parsed_args.loader] + + cf_dir = Path(args.folder_for_counterfactuals) + + cf_dir.mkdir(parents=True, exist_ok=True) + model.cuda() + u_t = 0.5 + t = 0.1 + + for split in splits: + loader = dataloader[split] + with torch.no_grad(): + for i, batch in enumerate(tqdm(loader)): + batch = preprocess_batch(args, batch, expand_pa=False) + pa = {k: batch[k] for k in args.parents_x} + _pa = torch.cat([pa[k] for k in args.parents_x], dim=1) + _pa = ( + _pa[..., None, None] + .repeat(1, 1, *(args.input_res,) * 2) + .to(args.device) + .float() + ) + zs = model.abduct(x=batch["x"].cuda(), parents=_pa.cuda(), t=t) + + if model.cond_prior: + zs = [zs[j]["z"] for j in range(len(zs))] + + px_loc, px_scale = model.forward_latents( + latents=zs, parents=_pa.cuda(), t=t + ) + + for s in range(5): + cf_pa = {k: pa[k] for k in args.parents_x} + cf_pa["scanner"] = torch.nn.functional.one_hot( + torch.ones_like(torch.argmax(cf_pa["scanner"], 1)) * s, + num_classes=5, + ) + + _cf_pa = torch.cat([cf_pa[k] for k in args.parents_x], dim=1) + _cf_pa = ( + _cf_pa[..., None, None] + .repeat(1, 1, *(args.input_res,) * 2) + .to(args.device) + .float() + ) + + cf_loc, cf_scale = model.forward_latents( + zs, parents=_cf_pa.cuda(), t=t + ) + + u = (batch["x"] - px_loc) / px_scale.clamp(min=1e-12) + cf_scale = cf_scale * u_t + cf_x = torch.clamp(cf_loc + cf_scale * u, min=-1, max=1) + cf_x = (cf_x + 1) / 2.0 + cf_x = CenterCrop((256, 192))(cf_x).cpu() + + for j in range(cf_x.shape[0]): + if torch.argmax(batch["scanner"][j]) != s: + short_path = batch["shortpath"][j][:-4] + filename = cf_dir / f"{short_path}_s{s}.png" + filename.parent.mkdir(parents=True, exist_ok=True) + img = Image.fromarray(np.uint8(cf_x[j, 0] * 255), "L") + img.save(str(filename)) diff --git a/causal_models/save_padchest_scanner_cf.py b/causal_models/save_padchest_scanner_cf.py new file mode 100644 index 0000000..f78e682 --- /dev/null +++ b/causal_models/save_padchest_scanner_cf.py @@ -0,0 +1,153 @@ +from pathlib import Path +from tqdm import tqdm +from causal_models.counterfactual_generation.save_cxr_counterfactuals import ( + load_vae_and_module, +) + +import torch +import numpy as np +from causal_models.trainer import preprocess_batch +import argparse +from PIL import Image + + +def scanner_counterfactuals( + model, + batch, + args, + partial_abduct=None, + u_t=0.5, + apply_sex_cf=False, + apply_scanner_cf=True, +): + model.cuda() + results = {} + pa = {k: batch[k] for k in args.parents_x} + _pa = torch.cat([pa[k] for k in args.parents_x], dim=1) + _pa = ( + _pa[..., None, None] + .repeat(1, 1, *(args.input_res,) * 2) + .to(args.device) + .float() + ) + + zs = model.abduct(x=batch["x"].cuda(), parents=_pa.cuda(), t=0.1) + if model.cond_prior: + zs = [zs[j]["z"] for j in range(len(zs))] + if partial_abduct is not None: + zs = zs[:partial_abduct] + + px_loc, px_scale = model.forward_latents(zs, parents=_pa, t=0.1) + + cf_pa = {k: pa[k] for k in args.parents_x} + if apply_scanner_cf: + cf_pa["scanner"] = 1 - cf_pa["scanner"] + + if apply_sex_cf: + cf_pa["sex"] = 1 - cf_pa["sex"] + + _cf_pa = torch.cat([cf_pa[k] for k in args.parents_x], dim=1) + _cf_pa = ( + _cf_pa[..., None, None] + .repeat(1, 1, *(args.input_res,) * 2) + .to(args.device) + .float() + ) + + cf_loc, cf_scale = model.forward_latents(zs, parents=_cf_pa.cuda(), t=0.1) + px_loc, px_scale = model.forward_latents(latents=zs, parents=_pa) + cf_loc, cf_scale = model.forward_latents(latents=zs, parents=_cf_pa) + + u = (batch["x"] - px_loc) / px_scale.clamp(min=1e-12) + cf_scale = cf_scale * u_t + cf_x = torch.clamp(cf_loc + cf_scale * u, min=-1, max=1) + results["DE"] = cf_x.cpu() + results["REC"] = px_loc.cpu() + results["GT"] = batch["x"].cpu() + results["cf_col_values"] = cf_pa["scanner"] + + return results + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + + parser.add_argument( + "--vae_path", + default="/vol/biomedic3/mb121/causal-contrastive/outputs/sex_scanner/beta3fixed/checkpoint.pt", # noqa + ) + parser.add_argument( + "--folder_for_counterfactuals", + default="padchest_cf_images_v0", + ) + + parser.add_argument("--loader", default="train", type=str) + + parsed_args = parser.parse_args() + vae, dataloader, args = load_vae_and_module(parsed_args.vae_path, cache=False) + + if parsed_args.loader == "all": + splits = ["train", "valid", "test"] + else: + assert parsed_args.loader in ["train", "valid", "test"] + splits = [parsed_args.loader] + + cf_dir = Path(args.folder_for_counterfactuals) + cf_dir.mkdir(parents=True, exist_ok=True) + + for split in splits: + loader = dataloader[split] + for apply_scanner_cf in [False, True]: + for apply_sex_cf in [False, True]: + if apply_sex_cf or apply_scanner_cf: + print(apply_scanner_cf, apply_sex_cf) + with torch.no_grad(): + for i, batch in enumerate(tqdm(loader)): + if apply_sex_cf: + if apply_scanner_cf: + all_filename = [ + cf_dir / f"{x[:-4]}_sc_cf_sex_cf.png" + for x in batch["shortpath"] + ] + else: + all_filename = [ + cf_dir / f"{x[:-4]}_sex_cf.png" + for x in batch["shortpath"] + ] + else: + all_filename = [ + cf_dir / f"{x[:-4]}_sc_cf.png" + for x in batch["shortpath"] + ] + f_exist = [x for x in all_filename if x.exists()] + if len(all_filename) != len(f_exist): + print( + len(all_filename), len(f_exist), print(all_filename) + ) + batch = preprocess_batch(args, batch, expand_pa=False) + out_d = scanner_counterfactuals( + model=vae, + batch=batch, + args=args, + u_t=1.0, + ) + cf_x = (out_d["DE"] + 1) / 2.0 + for j in range(cf_x.shape[0]): + short_path = batch["shortpath"][j][:-4] + if apply_sex_cf: + if apply_scanner_cf: + filename = ( + cf_dir + / f"{short_path}_sc_cf_sex_cf.png" + ) + else: + filename = ( + cf_dir / f"{short_path}_sex_cf.png" + ) + else: + filename = cf_dir / f"{short_path}_sc_cf.png" + filename.parent.mkdir(parents=True, exist_ok=True) + img = Image.fromarray( + np.uint8(cf_x[j, 0] * 255), "L" + ) + img.save(str(filename)) diff --git a/causal_models/train_setup.py b/causal_models/train_setup.py new file mode 100644 index 0000000..4138e84 --- /dev/null +++ b/causal_models/train_setup.py @@ -0,0 +1,185 @@ +import logging +import os + +import send2trash +import torch +from torch.utils.data import DataLoader +import numpy as np +from torch.utils.tensorboard import SummaryWriter +from data_handling.sampler import SamplerFactory +from causal_models.utils import linear_warmup, seed_worker +from hydra import compose, initialize + +from data_handling.mammo import EmbedDataModule +from data_handling.padchest import PadChestDataModule + + +def setup_dataloaders(args, cache: bool = True, shuffle_train=True): + """ + Converts our pytorch lightning data module in the format + expected by the DSCM codebase + """ + if "padchest" in args.hps: + with initialize(version_base=None, config_path="../configs"): + cfg = compose( + config_name="config.yaml", + overrides=[ + "data=padchest", + f"data.cache={cache}", + ], + ) + print(cfg) + data_module = PadChestDataModule(config=cfg, parents=args.parents_x) + + train_loader = DataLoader( + data_module.dataset_train, + data_module.config.data.batch_size, + shuffle=False, + num_workers=data_module.config.data.num_workers, + pin_memory=data_module.config.data.pin_memory, + ) + + elif "embed" in args.hps: + with initialize(version_base=None, config_path="../configs"): + cfg = compose( + config_name="config.yaml", + overrides=[ + "data=embed", + "data.batch_size=16", + f"data.cache={cache}", + f"data.exclude_cviews={not 'cview' in args.parents_x}", + ], + ) + print(cfg) + data_module = EmbedDataModule(config=cfg, parents=args.parents_x) + batch_size = cfg.data.batch_size + + if shuffle_train: + class_idx = [ + np.where(data_module.dataset_train.scanner == i)[0] for i in range(5) + ] + n_batches = len(data_module.dataset_train) // batch_size + print(n_batches, len(data_module.dataset_train), batch_size) + + sampler = SamplerFactory().get( + class_idx, + batch_size, + n_batches, + alpha=0.5, + kind="random", + ) + + train_loader = DataLoader( + data_module.dataset_train, + num_workers=cfg.data.num_workers, + pin_memory=cfg.data.pin_memory, + batch_sampler=sampler, + worker_init_fn=seed_worker, + ) + else: + train_loader = DataLoader( + data_module.dataset_train, + data_module.config.data.batch_size, + shuffle=False, + num_workers=data_module.config.data.num_workers, + pin_memory=data_module.config.data.pin_memory, + ) + + else: + NotImplementedError + + dataloaders = { + "train": train_loader, + "valid": data_module.val_dataloader(), + } + + return dataloaders + + +def setup_optimizer(args, model): + optimizer = torch.optim.AdamW( + model.parameters(), lr=args.lr, weight_decay=args.wd, betas=args.betas + ) + + scheduler = torch.optim.lr_scheduler.LambdaLR( + optimizer, lr_lambda=linear_warmup(args.lr_warmup_steps) + ) + + return optimizer, scheduler + + +def setup_directories(args, ckpt_dir="outputs"): + parents_folder = "_".join([k for k in args.parents_x]) + save_dir = os.path.join(ckpt_dir, parents_folder, args.exp_name) + if os.path.isdir(save_dir): + if ( + input(f"\nSave directory '{save_dir}' already exists, overwrite? [y/N]: ") + == "y" + ): + if input(f"Send '{save_dir}', to Trash? [y/N]: ") == "y": + send2trash.send2trash(save_dir) + print("Done.\n") + else: + exit() + else: + if ( + input(f"\nResume training with save directory '{save_dir}'? [y/N]: ") + == "y" + ): + pass + else: + exit() + os.makedirs(save_dir, exist_ok=True) + return save_dir + + +def setup_tensorboard(args, model): + """Setup metric summary writer.""" + writer = SummaryWriter(args.save_dir) + + hparams = {} + for k, v in vars(args).items(): + if isinstance(v, list) or isinstance(v, torch.device): + hparams[k] = str(v) + elif isinstance(v, torch.Tensor): + hparams[k] = v.item() + else: + hparams[k] = v + + writer.add_hparams(hparams, {"hparams": 0}, run_name=os.path.abspath(args.save_dir)) + + if "vae" in type(model).__name__.lower(): + z_str = [] + if hasattr(model.decoder, "blocks"): + for i, block in enumerate(model.decoder.blocks): + if block.stochastic: + z_str.append(f"z{i}_{block.res}x{block.res}") + else: + z_str = ["z0_" + str(args.z_dim)] + + writer.add_custom_scalars( + { + "nelbo": {"nelbo": ["Multiline", ["nelbo/train", "nelbo/valid"]]}, + "nll": {"kl": ["Multiline", ["nll/train", "nll/valid"]]}, + "kl": {"kl": ["Multiline", ["kl/train", "kl/valid"]]}, + } + ) + return writer + + +def setup_logging(args): + # reset root logger + [logging.root.removeHandler(h) for h in logging.root.handlers[:]] + # info logger for saving command line outputs during training + logging.basicConfig( + handlers=[ + logging.FileHandler(os.path.join(args.save_dir, "trainlog.txt")), + logging.StreamHandler(), + ], + # filemode='a', # append to file, 'w' for overwrite + format="%(asctime)s, %(message)s", + datefmt="%d-%b-%y %H:%M:%S", + level=logging.INFO, + ) + logger = logging.getLogger(args.exp_name) # name the logger + return logger diff --git a/causal_models/trainer.py b/causal_models/trainer.py new file mode 100644 index 0000000..1527e0f --- /dev/null +++ b/causal_models/trainer.py @@ -0,0 +1,171 @@ +import copy +import os +from typing import List + +import torch +import torch.nn as nn +from tqdm import tqdm + +from causal_models.plotting_utils import write_images +from causal_models.utils import linear_warmup + + +def preprocess_batch(args, batch, expand_pa=False): + batch["x"] = (batch["x"].to(args.device).float() * 2) - 1 + batch["pa"] = batch["pa"].to(args.device).float() + if expand_pa: # used for HVAE parent concatenation + batch["pa"] = batch["pa"][..., None, None].repeat(1, 1, *(args.input_res,) * 2) + for k in batch.keys(): + if ( + k not in ["x", "pa", "dicom_id"] + and not isinstance(batch[k], List) + and batch[k].ndim == 1 + ): + batch[k] = batch[k].reshape(-1, 1) + return batch + + +def trainer(args, model, ema, dataloaders, optimizer, scheduler, writer, logger): + for k in sorted(vars(args)): + logger.info(f"--{k}={vars(args)[k]}") + logger.info(f"total params: {sum(p.numel() for p in model.parameters()):,}") + + def run_epoch(dataloader, viz_batch=None, training=True): + model.train(training) + model.zero_grad(set_to_none=True) + stats = {k: 0 for k in ["elbo", "nll", "kl", "n"]} + updates_skipped = 0 + + mininterval = 0.1 + loader = tqdm( + enumerate(dataloader), total=len(dataloader), mininterval=mininterval + ) + + for i, batch in loader: + batch = preprocess_batch(args, batch, expand_pa=args.expand_pa) + bs = batch["x"].shape[0] + update_stats = True + + if training: + args.iter = i + 1 + (args.epoch - 1) * len(dataloader) + if args.beta_warmup_steps > 0: + args.beta = args.beta_target * linear_warmup( + args.beta_warmup_steps + )(args.iter) + writer.add_scalar("train/beta_kl", args.beta, args.iter) + + out = model(batch["x"], batch["pa"], beta=args.beta) + out["elbo"] = out["elbo"] / args.accu_steps + out["elbo"].backward() + + if i % args.accu_steps == 0: # gradient accumulation update + grad_norm = nn.utils.clip_grad_norm_( + model.parameters(), args.grad_clip + ) + writer.add_scalar("train/grad_norm", grad_norm, args.iter) + nll_nan = torch.isnan(out["nll"]).sum() + kl_nan = torch.isnan(out["kl"]).sum() + + if grad_norm < args.grad_skip and nll_nan == 0 and kl_nan == 0: + optimizer.step() + scheduler.step() + ema.update() + else: + updates_skipped += 1 + update_stats = False + logger.info( + f"Updates skipped: {updates_skipped}" + + f" - grad_norm: {grad_norm:.3f}" + + f" - nll_nan: {nll_nan.item()} - kl_nan: {kl_nan.item()}" + ) + + model.zero_grad(set_to_none=True) + + if args.iter % args.viz_freq == 0 or (args.iter in early_evals): + with torch.no_grad(): + ema.ema_model.train(False) + write_images(args, ema.ema_model, viz_batch) + + with torch.no_grad(): + ema.ema_model.train(False) + out = ema.ema_model(batch["x"], batch["pa"], beta=args.beta) + + if update_stats: + if training: + out["elbo"] *= args.accu_steps + stats["n"] += bs # samples seen counter + stats["elbo"] += out["elbo"].detach().item() * bs + stats["nll"] += out["nll"].detach().item() * bs + stats["kl"] += out["kl"].detach().item() * bs + + split = "train" if training else "valid" + loader.set_description( + f' => {split} | nelbo: {stats["elbo"] / stats["n"]:.5f}' + + f' - nll: {stats["nll"] / stats["n"]:.5f}' + + f' - kl: {stats["kl"] / stats["n"]:.3f}' + + f" - lr: {scheduler.get_last_lr()[0]:.6g}" + + (f" - grad norm: {grad_norm:.2f}" if training else ""), + refresh=False, + ) + + return {k: v / stats["n"] for k, v in stats.items() if k != "n"} + + if args.beta_warmup_steps > 0: + args.beta_target = copy.deepcopy(args.beta) + + viz_batch = next(iter(dataloaders["valid"])) + # expand pa to input res, used for HVAE parent concatenation + args.expand_pa = True + viz_batch = preprocess_batch(args, viz_batch, expand_pa=args.expand_pa) + early_evals = set([args.iter + 1] + [args.iter + 2**n for n in range(3, 14)]) + + # Start training loop + for epoch in range(args.start_epoch, args.epochs): + args.epoch = epoch + 1 + logger.info(f"Epoch {args.epoch}:") + + stats = run_epoch(dataloaders["train"], viz_batch, training=True) + + writer.add_scalar("nelbo/train", stats["elbo"], args.epoch) + writer.add_scalar("nll/train", stats["nll"], args.epoch) + writer.add_scalar("kl/train", stats["kl"], args.epoch) + logger.info( + f'=> train | nelbo: {stats["elbo"]:.4f}' + + f' - nll: {stats["nll"]:.4f} - kl: {stats["kl"]:.4f}' + + f" - steps: {args.iter}" + ) + + save_dict = { + "epoch": args.epoch, + "step": args.epoch * len(dataloaders["train"]), + "best_loss": args.best_loss, + "model_state_dict": model.state_dict(), + "ema_model_state_dict": ema.ema_model.state_dict(), + "optimizer_state_dict": optimizer.state_dict(), + "scheduler_state_dict": scheduler.state_dict(), + "hparams": vars(args), + } + + if (args.epoch - 1) % args.eval_freq == 0: + valid_stats = run_epoch(dataloaders["valid"], training=False) + + writer.add_scalar("nelbo/valid", valid_stats["elbo"], args.epoch) + writer.add_scalar("nll/valid", valid_stats["nll"], args.epoch) + writer.add_scalar("kl/valid", valid_stats["kl"], args.epoch) + logger.info( + f'=> valid | nelbo: {valid_stats["elbo"]:.4f}' + + f' - nll: {valid_stats["nll"]:.4f} - kl: {valid_stats["kl"]:.4f}' + + f" - steps: {args.iter}" + ) + + if valid_stats["elbo"] < args.best_loss: + args.best_loss = valid_stats["elbo"] + ckpt_path = os.path.join(args.save_dir, "checkpoint.pt") + torch.save(save_dict, ckpt_path) + logger.info(f"Model saved: {ckpt_path}") + + ckpt_path = os.path.join(args.save_dir, "last.pt") + torch.save(save_dict, ckpt_path) + logger.info(f"Model saved: {ckpt_path}") + + return diff --git a/causal_models/utils.py b/causal_models/utils.py new file mode 100644 index 0000000..401ff12 --- /dev/null +++ b/causal_models/utils.py @@ -0,0 +1,199 @@ +import copy +import random + +import numpy as np +import torch +import torch.nn as nn + + +def seed_all(seed, deterministic=True): + torch.manual_seed(seed) + torch.cuda.manual_seed_all(seed) + torch.cuda.manual_seed(seed) + np.random.seed(seed) + random.seed(seed) + if deterministic: + torch.backends.cudnn.deterministic = True + torch.backends.cudnn.benchmark = False + + +def seed_worker(worker_id): + worker_seed = torch.initial_seed() % 2**32 + np.random.seed(worker_seed) + random.seed(worker_seed) + + +def linear_warmup(warmup_iters): + def f(iter): + return 1.0 if iter > warmup_iters else iter / warmup_iters + + return f + + +def exists(val): + return val is not None + + +def is_float_dtype(dtype): + return any( + [ + dtype == float_dtype + for float_dtype in ( + torch.float64, + torch.float32, + torch.float16, + torch.bfloat16, + ) + ] + ) + + +def clamp(value, min_value=None, max_value=None): + assert exists(min_value) or exists(max_value) + if exists(min_value): + value = max(value, min_value) + + if exists(max_value): + value = min(value, max_value) + + return value + + +class EMA(nn.Module): + """ + Adapted from: https://github.com/lucidrains/ema-pytorch/blob/main/ema_pytorch/ema_pytorch.py + Implements exponential moving average shadowing for your model. + + Utilizes an inverse decay schedule to manage longer term training runs. + By adjusting the power, you can control how fast EMA will ramp up to your specified beta. + + @crowsonkb's notes on EMA Warmup: + + If gamma=1 and power=1, implements a simple average. gamma=1, power=2/3 are + good values for models you plan to train for a million or more steps (reaches decay + factor 0.999 at 31.6K steps, 0.9999 at 1M steps), gamma=1, power=3/4 for models + you plan to train for less (reaches decay factor 0.999 at 10K steps, 0.9999 at + 215.4k steps). + + Args: + inv_gamma (float): Inverse multiplicative factor of EMA warmup. Default: 1. + power (float): Exponential factor of EMA warmup. Default: 1. + min_value (float): The minimum EMA decay rate. Default: 0. + """ + + def __init__( + self, + model, + beta=0.999, + update_after_step=100, + update_every=1, + inv_gamma=1.0, + power=1.0, + min_value=0.0, + param_or_buffer_names_no_ema=set(), + ): + super().__init__() + self.beta = beta + self.online_model = model + + try: + self.ema_model = copy.deepcopy(model) + except: # noqa E722 + print( + "Your model was not copyable. Please make sure you are not using any LazyLinear" + ) + exit() + + self.ema_model.requires_grad_(False) + self.update_every = update_every + self.update_after_step = update_after_step + + self.inv_gamma = inv_gamma + self.power = power + self.min_value = min_value + + assert isinstance(param_or_buffer_names_no_ema, (set, list)) + self.param_or_buffer_names_no_ema = ( + param_or_buffer_names_no_ema # parameter or buffer + ) + + self.register_buffer("initted", torch.Tensor([False])) + self.register_buffer("step", torch.tensor([0])) + + def copy_params_from_model_to_ema(self): + for ma_params, current_params in zip( + list(self.ema_model.parameters()), list(self.online_model.parameters()) + ): + if not is_float_dtype(current_params.dtype): + continue + + ma_params.data.copy_(current_params.data) + + for ma_buffers, current_buffers in zip( + list(self.ema_model.buffers()), list(self.online_model.buffers()) + ): + if not is_float_dtype(current_buffers.dtype): + continue + + ma_buffers.data.copy_(current_buffers.data) + + def get_current_decay(self): + epoch = clamp(self.step.item() - self.update_after_step - 1, min_value=0.0) + value = 1 - (1 + epoch / self.inv_gamma) ** -self.power + + if epoch <= 0: + return 0.0 + + return clamp(value, min_value=self.min_value, max_value=self.beta) + + def update(self): + step = self.step.item() + self.step += 1 + + if (step % self.update_every) != 0: + return + + if step <= self.update_after_step: + self.copy_params_from_model_to_ema() + return + + if not self.initted.item(): + self.copy_params_from_model_to_ema() + self.initted.data.copy_(torch.Tensor([True])) + + self.update_moving_average(self.ema_model, self.online_model) + + @torch.no_grad() + def update_moving_average(self, ma_model, current_model): + current_decay = self.get_current_decay() + + for (name, current_params), (_, ma_params) in zip( + list(current_model.named_parameters()), list(ma_model.named_parameters()) + ): + if not is_float_dtype(current_params.dtype): + continue + + if name in self.param_or_buffer_names_no_ema: + ma_params.data.copy_(current_params.data) + continue + + difference = ma_params.data - current_params.data + difference.mul_(1.0 - current_decay) + ma_params.sub_(difference) + + for (name, current_buffer), (_, ma_buffer) in zip( + list(current_model.named_buffers()), list(ma_model.named_buffers()) + ): + if not is_float_dtype(current_buffer.dtype): + continue + + if name in self.param_or_buffer_names_no_ema: + ma_buffer.data.copy_(current_buffer.data) + continue + + difference = ma_buffer - current_buffer + difference.mul_(1.0 - current_decay) + ma_buffer.sub_(difference) + + def __call__(self, *args, **kwargs): + return self.ema_model(*args, **kwargs) diff --git a/classification/__init__.py b/classification/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/classification/classification_module.py b/classification/classification_module.py new file mode 100644 index 0000000..656feac --- /dev/null +++ b/classification/classification_module.py @@ -0,0 +1,338 @@ +import io +from typing import Any, Optional + +import matplotlib.pyplot as plt +import numpy as np +import pytorch_lightning as pl +import torch +import wandb +from PIL import Image +from sklearn.metrics import accuracy_score, balanced_accuracy_score, roc_auc_score +from torch.nn.functional import normalize +from torch.optim.lr_scheduler import ReduceLROnPlateau +from torchvision import models + +from classification.losses import nt_xent_loss +from data_handling.base import BatchType + + +class ClassificationModule(pl.LightningModule): + """ + A generic PL module for classification + """ + + def __init__( + self, + num_classes: int, + encoder_name: str, + pretrained: bool = False, + lr: float = 1e-4, + input_channels: int = 3, + patience_for_scheduler: int = 10, + metric_to_monitor: str = "Val/AUROC", + metric_to_monitor_mode: str = "max", + weight_decay: float = 0.0, + loss: str = "ce", + contrastive_temperature: float = 0.1, + weights: Optional[torch.Tensor] = None, + ) -> None: + super().__init__() + self.encoder_name = encoder_name + self.pretrained = pretrained + self.num_classes = num_classes + self.lr = lr + self.weight_decay = weight_decay + self.patience_scheduler = patience_for_scheduler + self.metric_to_monitor = metric_to_monitor + self.metric_to_monitor_mode = metric_to_monitor_mode + self.loss = loss + self.input_channels = input_channels + self.model = self.get_model() + + match loss: + case "ce": + self.criterion = torch.nn.CrossEntropyLoss(weight=weights) + case "simclr": + self.contrastive_temperature = contrastive_temperature + self.head_criterion = torch.nn.CrossEntropyLoss(weight=weights) + self.model.projection_head = torch.nn.Sequential( + torch.nn.Linear( + in_features=self.model.num_features, out_features=1024 + ), + torch.nn.ReLU(), + torch.nn.Linear(in_features=1024, out_features=128), + ) + case _: + raise NotImplementedError + + self.save_hyperparameters() + self.automatic_optimization = loss not in ["simclr"] + + def common_step(self, batch: BatchType, prefix: str, batch_idx: int) -> Any: # type: ignore + data, target = batch["x"], batch["y"] + if data.ndim == 5: + bsz, n_views, c, w, h = data.shape + data = data.reshape((-1, c, w, h)) + else: + if self.loss != "ce" and self.training: + raise ValueError( + """ + Your dataloader returns 1 view per image but you use SimCLR loss. + Not expected. + """ + ) + bsz, n_views = data.shape[0], 1 + + if self.loss == "simclr": + features = self.model.get_features(data) + proj_features = self.model.projection_head(features) + proj_features = normalize(proj_features, dim=1) + proj_features = proj_features.reshape((bsz, n_views, -1)) + loss = 0 + + if self.training or n_views > 1: + loss += nt_xent_loss(proj_features[:, 0], proj_features[:, 1]) + self.log(f"{prefix}/simclr_loss", loss, sync_dist=True) + + output = self.model.classify_features(features.detach()) + + if n_views > 1: + target = torch.stack([target, target], dim=1).reshape(-1) + + if self.training: + # Optimizer for model encoder + encoder_opt, head_opt = self.optimizers() + encoder_opt.zero_grad() + self.manual_backward(loss) + encoder_opt.step() + + head_loss = self.head_criterion(output, target) + + if self.training: + head_opt.zero_grad() + self.manual_backward(head_loss) + head_opt.step() + + self.log(f"{prefix}/head_loss", head_loss, sync_dist=True) + + else: + output = self.model(data) + if n_views > 1: + target = torch.stack([target, target], dim=1).reshape(-1) + loss = self.criterion(output, target) + + self.log(f"{prefix}/loss", loss, sync_dist=True) + if torch.isnan(loss): + raise ValueError("Found loss Nan") + + probas = torch.softmax(output, 1) + + return loss, probas, target + + def training_step(self, batch: Any, batch_idx: int) -> Any: # type: ignore + loss, probas, targets = self.common_step( + batch, prefix="Train", batch_idx=batch_idx + ) + self.train_probas.append(probas.detach().cpu()) + self.train_targets.append(targets.detach().cpu()) + + if batch_idx == 0: + data = batch["x"] + data = data.cpu().numpy() + self._plot_image_and_log_img_grid( + data, targets.cpu().numpy(), "train/inputs" + ) + return loss + + def validation_step(self, batch, batch_idx: int) -> None: # type: ignore + _, probas, targets = self.common_step(batch, prefix="Val", batch_idx=batch_idx) + self.val_probas.append(probas.detach().cpu()) + self.val_targets.append(targets.detach().cpu()) + + def test_step(self, batch, batch_idx: int) -> None: # type: ignore + _, probas, targets = self.common_step(batch, prefix="Test", batch_idx=batch_idx) + self.test_probas.append(probas.detach().cpu()) + self.test_targets.append(targets.detach().cpu()) + + def on_train_epoch_start(self) -> None: + self.train_probas = [] + self.train_targets = [] + + def _compute_metrics_at_epoch_end( + self, targets: torch.Tensor, probas: torch.Tensor, prefix: str + ): + preds = torch.argmax(probas, 1) + try: + if self.num_classes == 2: + self.log( + f"{prefix}/AUROC", + roc_auc_score(targets, probas[:, 1]), + sync_dist=True, + ) + else: + self.log( + f"{prefix}/AUROC", + roc_auc_score(targets, probas, average="macro", multi_class="ovr"), + sync_dist=True, + ) + except ValueError: + pass + self.log(f"{prefix}/Accuracy", accuracy_score(targets, preds), sync_dist=True) + self.log( + f"{prefix}/BalAccuracy", + balanced_accuracy_score(targets, preds), + sync_dist=True, + ) + + def on_train_epoch_end(self, unused=None) -> None: + if len(self.train_targets) > 0: + targets, probas = torch.cat(self.train_targets), torch.cat( + self.train_probas + ) + self._compute_metrics_at_epoch_end(targets, probas, "Train") + self.train_probas = [] + self.train_targets = [] + + def on_validation_epoch_start(self) -> None: + self.val_probas = [] + self.val_targets = [] + + def on_validation_epoch_end(self, unused=None) -> None: + targets, probas = torch.cat(self.val_targets), torch.cat(self.val_probas) + self._compute_metrics_at_epoch_end(targets, probas, "Val") + self.val_probas = [] + self.val_targets = [] + + def on_test_epoch_start(self) -> None: + self.test_probas = [] + self.test_targets = [] + + def on_test_epoch_end(self, unused=None) -> None: + targets, probas = torch.cat(self.test_targets), torch.cat(self.test_probas) + self._compute_metrics_at_epoch_end(targets, probas, "Test") + self.test_probas = [] + self.test_targets = [] + + def configure_optimizers(self): + optimizer = torch.optim.Adam( + self.model.parameters(), lr=self.lr, weight_decay=self.weight_decay + ) + if self.loss not in ["simclr"]: + scheduler = { + "scheduler": ReduceLROnPlateau( + optimizer, + patience=self.patience_scheduler, + mode=self.metric_to_monitor_mode, + min_lr=1e-5, + ), + "monitor": self.metric_to_monitor, + } + return [optimizer], [scheduler] + else: + head_optimizer = torch.optim.Adam( + self.model.net.fc.parameters(), lr=1e-4, weight_decay=1e-4 + ) + return optimizer, head_optimizer + + def get_model(self) -> torch.nn.Module: + if self.encoder_name.startswith("resnet"): + return ResNetBase( + num_classes=self.num_classes, + encoder_name=self.encoder_name, + pretrained=self.pretrained, + input_channels=self.input_channels, + ) + else: + raise NotImplementedError + + def _plot_image_and_log_img_grid(self, data: np.ndarray, y: np.ndarray, tag: str): + f, ax = plt.subplots(2, 5, figsize=(15, 5)) + + if data.ndim == 5: + for i in range(min(5, data.shape[0])): + for j in range(2): + img = np.transpose(data[i, j], [1, 2, 0]) + img = (img - img.min()) / (img.max() - img.min()) + ax[j, i].imshow(img) if img.shape[-1] == 3 else ax[j, i].imshow( + img, cmap="gray" + ) + ax[j, i].set_title(y[i]) + ax[j, i].axis("off") + else: + ax = ax.ravel() + for i in range(min(10, data.shape[0])): + img = np.transpose(data[i], [1, 2, 0]) + img = (img - img.min()) / (img.max() - img.min()) + ax[i].imshow(img) if img.shape[-1] == 3 else ax[i].imshow( + img, cmap="gray" + ) + ax[i].set_title(y[i]) + ax[i].axis("off") + + img_buf = io.BytesIO() + plt.savefig(img_buf, format="png") + + im = Image.open(img_buf) + self.logger.experiment.log({tag: wandb.Image(im)}) + img_buf.close() + plt.close() + + +class ResNetBase(torch.nn.Module): + def __init__( + self, + num_classes: int, + encoder_name: str, + pretrained: bool, + input_channels: int = 3, + normalise_features: bool = False, + ) -> None: + super().__init__() + match encoder_name: + case "resnet50": + if pretrained: + self.net = models.resnet50(weights=models.ResNet50_Weights.DEFAULT) + else: + self.net = models.resnet50(weights=None) + case "resnet18": + if pretrained: + self.net = models.resnet18(weights=models.ResNet18_Weights.DEFAULT) + else: + self.net = models.resnet18(weights=None) + case _: + raise ValueError(f"Encoder name {encoder_name} not recognised.") + self.num_features = self.net.fc.in_features + self.net.fc = torch.nn.Linear(self.num_features, num_classes) + self.num_classes = None + self.normalise_features = normalise_features + if input_channels != 3: + self.net.conv1 = torch.nn.Conv2d( + input_channels, 64, kernel_size=7, stride=2, padding=3, bias=False + ) + + def get_features(self, x: torch.Tensor) -> torch.Tensor: + x = self.net.conv1(x) + x = self.net.bn1(x) + x = self.net.relu(x) + x0 = self.net.maxpool(x) + x1 = self.net.layer1(x0) + x2 = self.net.layer2(x1) + x3 = self.net.layer3(x2) + x4 = self.net.layer4(x3) + x4 = self.net.avgpool(x4) + x4 = torch.flatten(x4, 1) + if self.normalise_features: + x4 = normalize(x4, dim=1) + return x4 + + def classify_features(self, x: torch.Tensor) -> torch.Tensor: + return self.net.fc(x) + + def forward(self, x: torch.Tensor) -> torch.Tensor: + feats = self.get_features(x) + return self.classify_features(feats) + + def reset_classifier(self, num_classes): + self.net.fc = torch.nn.Linear(self.num_features, num_classes) + for p in self.net.fc.parameters(): + p.requires_grad = True diff --git a/classification/load_model_and_config.py b/classification/load_model_and_config.py new file mode 100644 index 0000000..f1235c8 --- /dev/null +++ b/classification/load_model_and_config.py @@ -0,0 +1,32 @@ +import hydra +import torch + +from classification.classification_module import ClassificationModule + + +def get_modules(config, shuffle_training: bool = True): + """ + Returns model and data modules according to Hydra config. + """ + data_module_cls = hydra.utils.get_class(config.data._target_) + data_module = data_module_cls(config=config, shuffle=shuffle_training) + + # Create PL module + module = ClassificationModule( + encoder_name=config.model.encoder_name, + pretrained=config.model.pretrained, + num_classes=data_module.num_classes, + lr=config.trainer.lr, + patience_for_scheduler=config.trainer.patience_for_scheduler, + metric_to_monitor=config.trainer.metric_to_monitor, + metric_to_monitor_mode=config.trainer.metric_to_monitor_mode, + weight_decay=config.trainer.weight_decay, + loss=config.trainer.loss, + contrastive_temperature=config.trainer.contrastive_temperature, + input_channels=config.data.input_channels, + weights=torch.tensor(config.data.weights) + if config.data.weights != "None" + else None, + ) + + return data_module, module diff --git a/classification/losses.py b/classification/losses.py new file mode 100644 index 0000000..44308aa --- /dev/null +++ b/classification/losses.py @@ -0,0 +1,65 @@ +import math + +import torch + + +class SyncFunction(torch.autograd.Function): + @staticmethod + def forward(ctx, tensor): + ctx.batch_size = tensor.shape[0] + + gathered_tensor = [ + torch.zeros_like(tensor) for _ in range(torch.distributed.get_world_size()) + ] + + torch.distributed.all_gather(gathered_tensor, tensor) + return torch.cat(gathered_tensor, 0) + + @staticmethod + def backward(ctx, grad_output): + grad_input = grad_output.clone().contiguous() + torch.distributed.all_reduce( + grad_input, op=torch.distributed.ReduceOp.SUM, async_op=False + ) + + idx_from = torch.distributed.get_rank() * ctx.batch_size + idx_to = (torch.distributed.get_rank() + 1) * ctx.batch_size + return grad_input[idx_from:idx_to] + + +def nt_xent_loss(out_1, out_2, temperature=0.1, eps=1e-6): + """ + assume out_1 and out_2 are normalized + out_1: [batch_size, dim] + out_2: [batch_size, dim] + """ + # gather representations in case of distributed training + # out_1_dist: [batch_size * world_size, dim] + # out_2_dist: [batch_size * world_size, dim] + if torch.distributed.is_available() and torch.distributed.is_initialized(): + out_1_dist = SyncFunction.apply(out_1.contiguous()) + out_2_dist = SyncFunction.apply(out_2.contiguous()) + else: + out_1_dist = out_1 + out_2_dist = out_2 + + # out: [2 * batch_size, dim] + # out_dist: [2 * batch_size * world_size, dim] + out = torch.cat([out_1, out_2], dim=0) + out_dist = torch.cat([out_1_dist, out_2_dist], dim=0) + + # cov and sim: [2 * batch_size, 2 * batch_size * world_size] + # neg: [2 * batch_size] + cov = torch.mm(out, out_dist.t().contiguous()) + sim = torch.exp(cov / temperature) + neg = sim.sum(dim=-1) + + # from each row, subtract e^(1/temp) to remove similarity measure for x1.x1 + row_sub = torch.Tensor(neg.shape).fill_(math.e ** (1 / temperature)).to(neg.device) + neg = torch.clamp(neg - row_sub, min=eps) # clamp for numerical stability + + # Positive similarity, pos becomes [2 * batch_size] + pos = torch.exp(torch.sum(out_1 * out_2, dim=-1) / temperature) + pos = torch.cat([pos, pos], dim=0) + + return -torch.log(pos / (neg + eps)).mean() diff --git a/classification/train.py b/classification/train.py new file mode 100644 index 0000000..2024a19 --- /dev/null +++ b/classification/train.py @@ -0,0 +1,111 @@ +from pathlib import Path + +import hydra +import pytorch_lightning as pl +import torch +from pytorch_lightning.callbacks import LearningRateMonitor, ModelCheckpoint +from pytorch_lightning.callbacks.early_stopping import EarlyStopping +from pytorch_lightning.loggers import WandbLogger + +from classification.load_model_and_config import get_modules + + +@hydra.main(config_path="../configs/", config_name="config.yaml", version_base="1.2") +def train_model_main(config): + print(config) + pl.seed_everything(config.seed, workers=True) + + wandb_logger = WandbLogger(save_dir="outputs", project=config.project_name) + + data_module, model_module = get_modules(config) + + wandb_logger.watch(model_module, log="all", log_freq=100) + + wandb_logger.log_hyperparams(config) + + output_dir = Path(f"outputs/run_{wandb_logger.experiment.id}") # type: ignore + print("Saving to" + str(output_dir.absolute())) + checkpoint_callback = ModelCheckpoint(dirpath=output_dir, filename="{epoch}") + checkpoint_callback_best = ModelCheckpoint( + dirpath=output_dir, + monitor=config.trainer.metric_to_monitor, + mode=config.trainer.metric_to_monitor_mode, + filename="best", + ) + + checkpoint_callback_bestbalacc = ModelCheckpoint( + dirpath=output_dir, + monitor="Val/BalAccuracy", + mode="max", + filename="best_balacc", + ) + + lr_monitor = LearningRateMonitor() + early_stopping = EarlyStopping( + monitor=config.trainer.metric_to_monitor, + mode=config.trainer.metric_to_monitor_mode, + patience=round(5 * config.trainer.patience_for_scheduler), + ) + + precision = "32-true" + torch.set_float32_matmul_precision("medium") + if config.mixed_precision: + precision = "16-mixed" + n_gpus = ( + config.trainer.device + if isinstance(config.trainer.device, int) + else len(config.trainer.device) + ) + trainer = pl.Trainer( + deterministic=True, + accelerator="auto", + devices=config.trainer.device, + strategy="ddp_find_unused_parameters_true" if n_gpus > 1 else "auto", + max_epochs=config.trainer.num_epochs + if config.trainer.max_steps == "None" + else -1, + max_steps=config.trainer.max_steps + if config.trainer.max_steps != "None" + else -1, + logger=wandb_logger, + callbacks=[ + checkpoint_callback, + checkpoint_callback_best, + lr_monitor, + early_stopping, + checkpoint_callback_bestbalacc, + ], + precision=precision, + fast_dev_run=config.is_unit_test_config, + val_check_interval=min( + config.trainer.val_check_interval, len(data_module.train_dataloader()) + ) + if config.trainer.val_check_interval != "None" + else None, + limit_val_batches=250, + ) + if config.trainer.finetune_path != "None": + state_dict = torch.load(config.trainer.finetune_path, map_location="cuda:0")[ + "state_dict" + ] + state_dict.pop("model.net.fc.weight") + state_dict.pop("model.net.fc.bias") + print(model_module.load_state_dict(state_dict, strict=False)) + print("Model loaded successfully") + + if config.trainer.freeze_encoder: + model_module = model_module.eval() + for p in model_module.parameters(): + p.requires_grad = False + + model_module.model.reset_classifier(data_module.num_classes) + + trainer.fit(model_module, data_module) + + +if __name__ == "__main__": + """ + Script to run one particular configuration. + """ + torch.multiprocessing.set_sharing_strategy("file_system") + train_model_main() diff --git a/configs/config.yaml b/configs/config.yaml new file mode 100644 index 0000000..15b79c3 --- /dev/null +++ b/configs/config.yaml @@ -0,0 +1,11 @@ +defaults: + - _self_ + - data: cifar10 + - trainer: base + - model: base + - experiment: base + +project_name: causal_contrastive +seed: 11 +mixed_precision: False +is_unit_test_config: False diff --git a/configs/data/base.yaml b/configs/data/base.yaml new file mode 100644 index 0000000..1a426be --- /dev/null +++ b/configs/data/base.yaml @@ -0,0 +1,16 @@ +batch_size: 128 +num_workers: 8 +pin_memory: True +input_channels: 3 +weights: None +augmentations: + resize: None + center_crop: None + random_rotation: 0 + horizontal_flip: False + vertical_flip: False + random_crop: None + random_color_jitter: 0.1 + random_erase_scale: [0., 0.] + sharp: 0. +prop_train: 1. \ No newline at end of file diff --git a/configs/data/chexpert.yaml b/configs/data/chexpert.yaml new file mode 100644 index 0000000..302748e --- /dev/null +++ b/configs/data/chexpert.yaml @@ -0,0 +1,16 @@ +defaults: + - base.yaml + - _self_ +_target_: data_handling.padchest.CheXpertDataModule +dataset: padchest +batch_size: 24 +num_workers: 12 +augmentations: + resize: [224, 224] + horizontal_flip: False +input_channels: 1 +label: Pneumonia +weights: [1.05, 20.] +cache: True +use_counterfactuals: False +counterfactual_contrastive: True \ No newline at end of file diff --git a/configs/data/embed.yaml b/configs/data/embed.yaml new file mode 100644 index 0000000..366729b --- /dev/null +++ b/configs/data/embed.yaml @@ -0,0 +1,21 @@ +defaults: + - base.yaml + - _self_ +_target_: data_handling.mammo.EmbedDataModule +dataset: embed +batch_size: 12 +num_workers: 12 +augmentations: + resize: [256, 192] + horizontal_flip: False + center_crop: [224, 224] +input_channels: 1 + +label: tissueden +# weights: [1.1, 599, 22.5, 28.36, 36.70] # scanner +weights: [8.89, 2.35, 2.44, 18.67] # breast density +domain: None +cache: True +use_counterfactuals: False +exclude_cviews: True +counterfactual_contrastive: True \ No newline at end of file diff --git a/configs/data/padchest.yaml b/configs/data/padchest.yaml new file mode 100644 index 0000000..193889f --- /dev/null +++ b/configs/data/padchest.yaml @@ -0,0 +1,16 @@ +defaults: + - base.yaml + - _self_ +_target_: data_handling.padchest.PadChestDataModule +dataset: padchest +batch_size: 16 +num_workers: 14 +augmentations: + resize: [224, 224] + horizontal_flip: False +input_channels: 1 +label: pneumonia +weights: [1., 10.] +cache: True +use_counterfactuals: False +counterfactual_contrastive: True \ No newline at end of file diff --git a/configs/data/rsna.yaml b/configs/data/rsna.yaml new file mode 100644 index 0000000..9153a1d --- /dev/null +++ b/configs/data/rsna.yaml @@ -0,0 +1,13 @@ +defaults: + - base.yaml + +_target_: data_handling.xray.RSNAPneumoniaDataModule +dataset: "rsna" + +augmentations: + resize: [224, 224] + horizontal_flip: False +input_channels: 1 +use_counterfactuals: False +counterfactual_contrastive: True +cache: True \ No newline at end of file diff --git a/configs/data/vindr.yaml b/configs/data/vindr.yaml new file mode 100644 index 0000000..308776f --- /dev/null +++ b/configs/data/vindr.yaml @@ -0,0 +1,18 @@ +defaults: + - base.yaml + - _self_ +_target_: data_handling.mammo.VinDrDataModule +dataset: vindr +batch_size: 12 +num_workers: 12 +augmentations: + resize: [256, 192] + horizontal_flip: False + center_crop: [224, 224] +input_channels: 1 + +weights: [170., 10., 1., 8.] # breast density +domain: None +cache: True +use_counterfactuals: False +counterfactual_contrastive: True \ No newline at end of file diff --git a/configs/experiment/base.yaml b/configs/experiment/base.yaml new file mode 100644 index 0000000..ccb6a85 --- /dev/null +++ b/configs/experiment/base.yaml @@ -0,0 +1 @@ +# @package _global_ \ No newline at end of file diff --git a/configs/experiment/base_chexpertpneumo.yaml b/configs/experiment/base_chexpertpneumo.yaml new file mode 100644 index 0000000..72e4de8 --- /dev/null +++ b/configs/experiment/base_chexpertpneumo.yaml @@ -0,0 +1,24 @@ +# @package _global_ +defaults: + - override /trainer: base + - override /data: chexpert + +data: + batch_size: 112 + augmentations: + random_crop: [.7, 1.] + random_rotation: 20 + random_color_jitter: .3 + horizontal_flip: True + vertical_flip: True + +model: + encoder_name: "resnet50" + pretrained: True + +trainer: + patience_for_scheduler: 10 + metric_to_monitor: "Val/AUROC" + metric_to_monitor_mode: "max" + lr: 1e-4 + val_check_interval: 5000 \ No newline at end of file diff --git a/configs/experiment/base_density.yaml b/configs/experiment/base_density.yaml new file mode 100644 index 0000000..60646fd --- /dev/null +++ b/configs/experiment/base_density.yaml @@ -0,0 +1,25 @@ +# @package _global_ +defaults: + - override /trainer: base + - override /data: embed + +data: + batch_size: 32 + augmentations: + random_crop: [.9, 1.] + random_rotation: 5 + random_color_jitter: .2 + horizontal_flip: True + vertical_flip: False + center_crop: [224, 192] + +model: + encoder_name: "resnet50" + pretrained: True + +trainer: + patience_for_scheduler: 25 + metric_to_monitor: "Val/AUROC" + metric_to_monitor_mode: "max" + lr: 1e-5 + val_check_interval: 1000 \ No newline at end of file diff --git a/configs/experiment/base_padchestpneumo.yaml b/configs/experiment/base_padchestpneumo.yaml new file mode 100644 index 0000000..1bccd15 --- /dev/null +++ b/configs/experiment/base_padchestpneumo.yaml @@ -0,0 +1,24 @@ +# @package _global_ +defaults: + - override /trainer: base + - override /data: padchest + +data: + batch_size: 112 + augmentations: + random_crop: [.7, 1.] + random_rotation: 20 + random_color_jitter: .3 + horizontal_flip: True + vertical_flip: True + +model: + encoder_name: "resnet50" + pretrained: True + +trainer: + patience_for_scheduler: 10 + metric_to_monitor: "Val/AUROC" + metric_to_monitor_mode: "max" + lr: 1e-4 + val_check_interval: 5000 \ No newline at end of file diff --git a/configs/experiment/base_rsna.yaml b/configs/experiment/base_rsna.yaml new file mode 100644 index 0000000..b264544 --- /dev/null +++ b/configs/experiment/base_rsna.yaml @@ -0,0 +1,25 @@ +# @package _global_ +defaults: + - override /trainer: base + - override /data: rsna + +data: + batch_size: 112 + augmentations: + random_crop: [.7, 1.] + random_rotation: 20 + random_color_jitter: .3 + horizontal_flip: True + vertical_flip: True + weights: [1., 3.] + +model: + encoder_name: "resnet50" + pretrained: True + +trainer: + patience_for_scheduler: 25 + metric_to_monitor: "Val/AUROC" + metric_to_monitor_mode: "max" + lr: 1e-4 + val_check_interval: 5000 \ No newline at end of file diff --git a/configs/experiment/base_vindr.yaml b/configs/experiment/base_vindr.yaml new file mode 100644 index 0000000..c1aed0c --- /dev/null +++ b/configs/experiment/base_vindr.yaml @@ -0,0 +1,25 @@ +# @package _global_ +defaults: + - override /trainer: base + - override /data: vindr + +data: + batch_size: 32 + augmentations: + random_crop: [.9, 1.] + random_rotation: 5 + random_color_jitter: .2 + horizontal_flip: True + vertical_flip: False + center_crop: [224, 192] + +model: + encoder_name: "resnet50" + pretrained: True + +trainer: + patience_for_scheduler: 25 + metric_to_monitor: "Val/AUROC" + metric_to_monitor_mode: "max" + lr: 1e-5 + val_check_interval: 1000 \ No newline at end of file diff --git a/configs/experiment/simclr_embed.yaml b/configs/experiment/simclr_embed.yaml new file mode 100644 index 0000000..8c6448d --- /dev/null +++ b/configs/experiment/simclr_embed.yaml @@ -0,0 +1,27 @@ +# @package _global_ + + +defaults: + - override /trainer: simclr + - override /data: embed + +data: + batch_size: 312 + augmentations: + random_crop: [.3, .90] + random_rotation: 45 + random_color_jitter: .4 + horizontal_flip: True + vertical_flip: True + random_erase_scale: [.05, .10] + sharp: 1. + center_crop: [224, 192] + +model: + encoder_name: "resnet50" + pretrained: True + +trainer: + max_steps: None + num_epochs: 500 + # lr: 2e-5 for finetuning is best \ No newline at end of file diff --git a/configs/experiment/simclr_padchest.yaml b/configs/experiment/simclr_padchest.yaml new file mode 100644 index 0000000..26e548e --- /dev/null +++ b/configs/experiment/simclr_padchest.yaml @@ -0,0 +1,25 @@ +# @package _global_ + + +defaults: + - override /trainer: simclr + - override /data: padchest + +data: + batch_size: 256 + augmentations: + random_crop: [.3, .99] + random_rotation: 90 + random_color_jitter: .4 + horizontal_flip: True + vertical_flip: True + random_erase_scale: [.05, .30] + sharp: 1. + +model: + encoder_name: "resnet50" + pretrained: True + +trainer: + max_steps: None + max_epochs: 1000 \ No newline at end of file diff --git a/configs/model/base.yaml b/configs/model/base.yaml new file mode 100644 index 0000000..505ac53 --- /dev/null +++ b/configs/model/base.yaml @@ -0,0 +1,2 @@ +encoder_name: "resnet18" +pretrained: False diff --git a/configs/trainer/base.yaml b/configs/trainer/base.yaml new file mode 100644 index 0000000..33bd467 --- /dev/null +++ b/configs/trainer/base.yaml @@ -0,0 +1,16 @@ +name: base +lr: 1e-3 +num_epochs: 400 +patience_for_scheduler: 10 +metric_to_monitor: "Val/loss" +metric_to_monitor_mode: "min" +val_check_interval: None +weight_decay: 0.0 +use_train_augmentations: True +loss: "ce" +contrastive_temperature: 0.1 +return_two_views: False +finetune_path: None +device: [0] +max_steps: None +freeze_encoder: False \ No newline at end of file diff --git a/configs/trainer/simclr.yaml b/configs/trainer/simclr.yaml new file mode 100644 index 0000000..021219e --- /dev/null +++ b/configs/trainer/simclr.yaml @@ -0,0 +1,10 @@ +defaults: + - base.yaml + - _self_ +name: simclr +loss: "simclr" +contrastive_temperature: 0.1 +return_two_views: True +num_epochs: 1000 +patience_for_scheduler: 100 +max_steps: 400000 \ No newline at end of file diff --git a/data_handling/__init__.py b/data_handling/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/data_handling/augmentations.py b/data_handling/augmentations.py new file mode 100644 index 0000000..2b48106 --- /dev/null +++ b/data_handling/augmentations.py @@ -0,0 +1,86 @@ +from typing import Any, Callable, Tuple + +import torch +import torchvision.transforms as tf +from omegaconf import DictConfig + + +class Return2Views: + def __init__(self, transform_pipeline) -> None: + self.tsfm = transform_pipeline + + def __call__(self, x: torch.Tensor) -> torch.Tensor: + x1 = self.tsfm(x) + x2 = self.tsfm(x) + return torch.stack([x1, x2], dim=0) + + +class RandomSharpness: + def __init__(self, sharp): + self.sharp = sharp + + def __call__(self, x: torch.Tensor) -> Any: + sharp_min = 1 - self.sharp + sharp_max = 1 + self.sharp + random_sharp = sharp_min + (sharp_max - sharp_min) * torch.rand(1) + return tf.RandomAdjustSharpness(random_sharp)(x) + + +def get_augmentations_from_config(config: DictConfig) -> Tuple[Callable, Callable]: + """ + Return transformation pipeline as per config. + """ + + transform_list, val_transforms = [], [] + if config.augmentations.random_crop != "None": + transform_list.append( + tf.RandomResizedCrop( + config.augmentations.resize, + scale=config.augmentations.random_crop, + antialias=True, + ) + ) + val_transforms.append(tf.Resize(config.augmentations.resize, antialias=True)) + + if config.augmentations.resize != "None": + transform_list.append(tf.Resize(config.augmentations.resize, antialias=True)) + val_transforms.append(tf.Resize(config.augmentations.resize, antialias=True)) + + if config.augmentations.random_rotation != "None": + transform_list.append(tf.RandomRotation(config.augmentations.random_rotation)) + if config.augmentations.horizontal_flip: + transform_list.append(tf.RandomHorizontalFlip()) + if config.augmentations.vertical_flip: + transform_list.append(tf.RandomVerticalFlip()) + if config.augmentations.random_color_jitter: + transform_list.append( + tf.ColorJitter( + brightness=config.augmentations.random_color_jitter, + contrast=config.augmentations.random_color_jitter, + hue=0 + if config.input_channels == 1 + else config.augmentations.random_color_jitter, + saturation=0 + if config.input_channels == 1 + else config.augmentations.random_color_jitter, + ) + ) + + if config.augmentations.random_erase_scale[0] > 0.0: + transform_list.append( + tf.RandomErasing( + scale=[ + config.augmentations.random_erase_scale[0], + config.augmentations.random_erase_scale[1], + ] + ) + ) + + if config.augmentations.sharp > 0.0: + transform_list.append(RandomSharpness(config.augmentations.sharp)) + + if config.augmentations.center_crop != "None": + transform_list.append(tf.CenterCrop(config.augmentations.center_crop)) + val_transforms.append(tf.CenterCrop(config.augmentations.center_crop)) + + return tf.Compose(transform_list), tf.Compose(val_transforms) diff --git a/data_handling/base.py b/data_handling/base.py new file mode 100644 index 0000000..ebac806 --- /dev/null +++ b/data_handling/base.py @@ -0,0 +1,76 @@ +from typing import Tuple + +import torch +from omegaconf import DictConfig +from pytorch_lightning import LightningDataModule +from torch.utils.data import DataLoader + +from data_handling.augmentations import Return2Views, get_augmentations_from_config + +"""A batch is a 3-tuple of imgs, labels, and metadata dict""" +BatchType = Tuple[torch.Tensor, torch.Tensor, dict[str, torch.Tensor]] + + +class BaseDataModuleClass(LightningDataModule): + def __init__(self, config: DictConfig, shuffle: bool = True, parents=None) -> None: + super().__init__() + self.config = config + self.shuffle = shuffle + self.parents = parents + self.train_tsfm, self.val_tsfm = get_augmentations_from_config(config.data) + if config.trainer.return_two_views and not config.data.use_counterfactuals: + self.train_tsfm = Return2Views(self.train_tsfm) + self.val_tsfm = Return2Views(self.val_tsfm) + elif config.data.use_counterfactuals: + self.val_tsfm = Return2Views(self.val_tsfm) + + if not config.trainer.use_train_augmentations: + self.train_tsfm = self.val_tsfm + self.sampler = None + self.create_datasets() + + def train_dataloader(self): + if self.sampler is not None and self.shuffle: + return DataLoader( + self.dataset_train, + num_workers=self.config.data.num_workers, + pin_memory=self.config.data.pin_memory, + persistent_workers=False, + batch_sampler=self.sampler, + ) + return DataLoader( + self.dataset_train, + self.config.data.batch_size, + shuffle=self.shuffle, + num_workers=self.config.data.num_workers, + pin_memory=self.config.data.pin_memory, + ) + + def val_dataloader(self): + return DataLoader( + self.dataset_val, + self.config.data.batch_size, + shuffle=False, + num_workers=self.config.data.num_workers, + pin_memory=self.config.data.pin_memory, + ) + + def test_dataloader(self): + return DataLoader( + self.dataset_test, + self.config.data.batch_size, + shuffle=False, + num_workers=self.config.data.num_workers, + pin_memory=self.config.data.pin_memory, + ) + + @property + def dataset_name(self): + raise NotImplementedError + + def create_datasets(self): + raise NotImplementedError + + @property + def num_classes(self): + raise NotImplementedError diff --git a/data_handling/caching.py b/data_handling/caching.py new file mode 100644 index 0000000..09ceb5e --- /dev/null +++ b/data_handling/caching.py @@ -0,0 +1,289 @@ +# Code taken from +# Source: https://github.com/Charl-AI/stochastic-caching/blob/main/stocaching/__init__.py + + +"""Stocaching, a tiny library for stochastic dataset caching in PyTorch.""" + +import ctypes +import multiprocessing as mp +import os +from enum import Enum + +import numpy as np +import torch + +__all__ = ["SharedCache", "get_shm_size"] + +BYTES_PER_GIB = 1024**3 + +C_DTYPES = { + torch.bool: ctypes.c_bool, + torch.uint8: ctypes.c_uint8, + torch.int8: ctypes.c_int8, + torch.int16: ctypes.c_int16, + torch.int32: ctypes.c_int32, + torch.int64: ctypes.c_int64, + torch.float32: ctypes.c_float, + torch.float64: ctypes.c_double, +} + + +class SlotState(Enum): + EMPTY = 0 + SET = 1 + # in this context, OOB means outside the range of the cache, + # but inside the range of the full dataset + OOB = 2 + + +class SharedCache: + """A simple shared memory cache for use in PyTorch datasets. + + You can set a size limit for the cache to take. If your dataset + exceeds this size, the cache will only allocate slots for the first N samples. + This allows you to speed up training by caching only a subset of your dataset. + When applied to a large, shuffled dataset, we call this 'stochastic caching'. + + You may interact with the cache directly as if it were a list of slots, + with one slot per sample. Get and set with `x = cache[0]` and `cache[0] = x`. + + Using the getter and setter directly can be fiddly if you are only caching part + of the dataset. We expose two convenience methods (`get_slot` and `set_slot`), + which simplify usage by allowing you to treat the cache as if it were the same + size as the full dataset. + + You may access the underlying pytorch array with the `underlying_array property`. + + Example usage: + + ```python + import torch + from stocaching import SharedCache + from torch.utils.data import Dataset + + class MyDataset(Dataset): + def __init__(self): + super().__init__() + + ... # set up dataset + + dataset_len = N # number of samples in the full dataset + data_dims = (3, 32, 32) # data dims (not including batch) + + # initialize the cache + self.cache = SharedCache( + size_limit_gib=32, + dataset_len=dataset_len, + data_dims=data_dims, + dtype=torch.uint8 + ) + def __getitem__(self, idx): + # retrieve data from cache if it's there + x = self.cache.get_slot(idx) + # x will be None if the cache slot was empty or OOB + if x is None: + x = ... # load data to uint8 tensor from disk + # try to cache x, no-op if idx is OOB of the cache + self.cache.set_slot(idx, x) + return x + ``` + """ + + def __init__( + self, + size_limit_gib: int, + dataset_len: int, + data_dims: tuple[int, ...], + dtype: torch.dtype = torch.uint8, + ) -> None: + """ + Args: + size_limit_gib (int): Maximum size of the cache in GiB. + dataset_len (int): Length (number of samples) of the full dataset. + data_dims (tuple[int, ...]): Dimensions of the data to be stored in the + cache. E.g. (C, H, W) for 2D image data. Does not include batch dim. + dtype (torch.dtype, optional): Torch data type of the dataset to cache. + Must be in the subset of torch dtypes with corresponding ctypes: + bool, uint8, int8, int16, int32, int64, float32, float64. + Defaults to torch.uint8 (this is usually best for jpg images). + """ + dtype_bytes = dtype.itemsize + slot_bytes = np.prod(data_dims) * dtype_bytes + dataset_bytes = slot_bytes * dataset_len + size_limit_bytes = size_limit_gib * BYTES_PER_GIB + + # we allocate a flat 8-bit array to keep track of which samples are cached, + # which are not cached yet, and which are out of bounds of the cache + aux_bytes = dataset_len * torch.uint8.itemsize + + ds_and_aux_bytes = dataset_bytes + aux_bytes + + if ds_and_aux_bytes > size_limit_bytes: + cache_len = int((size_limit_bytes - aux_bytes) / slot_bytes) + print( + f"Dataset size ({ds_and_aux_bytes / BYTES_PER_GIB:.1f} GiB)" + + f" exceeds cache limit ({size_limit_gib} GiB)." + + f" Allocating space to cache {cache_len} / {dataset_len} samples." + ) + + else: + cache_len = dataset_len + print( + f"Dataset size ({ds_and_aux_bytes / BYTES_PER_GIB:.1f} GiB)" + + f" fits in cache limit ({size_limit_gib} GiB)." + + f" Allocating space to cache all {cache_len} samples." + ) + + shared_array_base = mp.Array( + C_DTYPES[dtype], int(np.prod(data_dims) * cache_len) + ) + shared_array = np.ctypeslib.as_array(shared_array_base.get_obj()) + shared_array = shared_array.reshape((cache_len, *data_dims)) + self._shm = torch.from_numpy(shared_array) + self._shm *= 0 + + shared_aux_base = mp.Array(C_DTYPES[torch.uint8], dataset_len) + shared_aux = np.ctypeslib.as_array(shared_aux_base.get_obj()) + self._aux = torch.from_numpy(shared_aux) + self._aux *= 0 + + # only cache the first cache_len samples by index + self._aux[cache_len:] = SlotState.OOB.value + + @property + def array(self) -> torch.Tensor: + """Access the full underlying cache (just a tensor backed by shared memory). + Returns a torch tensor of shape (cache_len, *data_dims). + The dtype is whatever you specified when constructing the cache.""" + return self._shm + + @property + def aux_array(self) -> torch.Tensor: + """Access the auxiliary array (just a tensor backed by shared memory). + The auxiliary array keeps track of which samples from the full dataset have been + cached, which samples are yet to be cached, and which are OOB. + Returns a shared memory torch uint8 tensor, shape (dataset_len,). + `self.aux_array[idx] == 0` means sample idx is not cached. + `self.aux_array[idx] == 1` means sample idx is cached. + `self.aux_array[idx] == 2` means sample idx is OOB. + """ + return self._aux + + def __getitem__(self, idx: int): + return self.array[idx] + + def __setitem__(self, idx: int, value: torch.Tensor): + self.array[idx] = value + + def __len__(self): + return len(self.array) + + def _slot_state(self, idx: int) -> SlotState: + """Get the state of a slot in the cache. Raises an error if idx is outside + the range of the full dataset.""" + if idx < 0 or idx >= len(self.aux_array): + raise IndexError( + f"Index {idx} out of bounds for dataset of length {len(self.aux_array)}" + ) + return SlotState(self._aux[idx].item()) + + def set_slot( + self, + idx: int, + value: torch.Tensor, + allow_oob_idx: bool = True, + allow_overwrite: bool = False, + ) -> None: + """Set a slot in the cache to a value. + + The main reason to use this method over __setitem__ is that we + allow you to call this method when idx is out of bounds of the + cache, but within the range of the full dataset. + + In this case the method is a no-op when idx is out of bounds. + + Args: + idx (int): Index of the slot to set. + value (torch.Tensor): Value to set the slot to. + allow_oob_idx (bool, optional): When False, raises an error if + idx is out of bounds of the cache. Defaults to True. + allow_overwrite (bool, optional): When False, raises an error if + the slot has any existing non-zero elements. Defaults to False. + """ + slot_state = self._slot_state(idx) + if slot_state == SlotState.OOB: + if not allow_oob_idx: + raise IndexError( + f"Index {idx} out of bounds of SharedCache of length {len(self)}" + ) + return # no-op + + if slot_state == SlotState.SET and not allow_overwrite: + raise RuntimeError( + f"Tried to overwrite non-empty slot {idx=} in SharedCache." + ) + + self[idx] = value + self.aux_array[idx] = SlotState.SET.value + + def get_slot( + self, + idx: int, + allow_oob_idx: bool = True, + allow_empty_slot: bool = True, + ) -> torch.Tensor | None: + """Get the value of a slot in the cache. + + The main reason to use this method over __getitem__ is that we + allow you to call this method when idx is out of bounds of the + cache, but within the range of the dataset. + + In this case the method returns None when idx is out of bounds. + + Args: + idx (int): Index of the slot to get. + allow_oob_idx (bool, optional): When False, raises an error if + idx is out of bounds of the cache. Defaults to True. + allow_empty_slot (bool, optional): When True, returns + None if the slot is empty. Otherwise, raises + an exception. Defaults to True. + """ + slot_state = self._slot_state(idx) + if slot_state == SlotState.OOB: + if not allow_oob_idx: + raise IndexError( + f"Index {idx} out of bounds of SharedCache of length {len(self)}" + ) + return None + + if slot_state == SlotState.EMPTY: + if allow_empty_slot: + return None + else: + raise RuntimeError( + f"Tried to read from an empty slot {idx=} in SharedCache." + ) + return self[idx] + + def clear(self) -> None: + """Clear all slots in the cache.""" + self._shm *= 0 + self._aux *= 0 + self._aux[len(self) :] = SlotState.OOB.value # noqa + + +def get_shm_size() -> int: + """Get size of /dev/shm. The size limit of the shared memory cache + should not exceed this. + + N.B. You may check the size of /dev/shm on the command line with `df -h`. + A simple way to (temporarily) change it is to run: + `mount -o remount,size=128G /dev/shm` (change to 128 GiB, for example). + + Returns: + (int) Size of /dev/shm in GiB + """ + stats = os.statvfs("/dev/shm") + shm_bytes = stats.f_bsize * stats.f_blocks + shm_size = shm_bytes / BYTES_PER_GIB + return int(shm_size) diff --git a/data_handling/csv_generation_code/generate_embed_csv.ipynb b/data_handling/csv_generation_code/generate_embed_csv.ipynb new file mode 100644 index 0000000..de4f960 --- /dev/null +++ b/data_handling/csv_generation_code/generate_embed_csv.ipynb @@ -0,0 +1,333 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "294c3534-7412-4ec3-a256-4a88bbc52480", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "from pathlib import Path\n", + "\n", + "EMBED_ROOT = Path(\"/vol/biomedic3/data/EMBED\")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "843827d3-79d9-4219-acaa-5737494c7924", + "metadata": {}, + "outputs": [], + "source": [ + "# Need instance number for our specific casewise aggregation methodologies\n", + "full_dicom = pd.read_csv(\n", + " EMBED_ROOT / \"tables/EMBED_OpenData_metadata.csv\", low_memory=False\n", + ")[\n", + " [\n", + " \"InstanceNumber\",\n", + " \"anon_dicom_path\",\n", + " \"PixelSpacing\",\n", + " \"ImagerPixelSpacing\",\n", + " \"Rows\",\n", + " \"Columns\",\n", + " ]\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "7d920e51-029a-41bc-9adf-f2fe01da160e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "480323\n", + "480323\n" + ] + } + ], + "source": [ + "dicom = pd.read_csv(\n", + " EMBED_ROOT / \"tables/EMBED_OpenData_metadata_reduced.csv\", low_memory=False\n", + ")\n", + "print(len(dicom))\n", + "dicom = dicom.merge(full_dicom, on=\"anon_dicom_path\")\n", + "print(len(dicom))\n", + "dicom[\"image_path\"] = (\n", + " dicom[\"empi_anon\"].astype(\"str\")\n", + " + \"/\"\n", + " + dicom[\"anon_dicom_path\"].str.split(\"/\").str[-1].str.split(\".dcm\").str[0]\n", + " + \".png\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "761834a9", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_34030/2960478528.py:10: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " view_nan['ViewPosition'] = view_nan['SeriesDescription'].apply(lambda x: 'CC' if 'CC' in x else ('MLO' if 'MLO' in x else None))\n" + ] + } + ], + "source": [ + "# XCCL shouldn't be converted to CC so manually editing it\n", + "dicom.loc[\n", + " (dicom[\"SeriesDescription\"] == \"RXCCL\") | (dicom[\"SeriesDescription\"] == \"LXCCL\"),\n", + " \"ViewPosition\",\n", + "] = \"XCCL\"\n", + "\n", + "# Getting all rows with \"ViewPosition\" == Nan (but for which SeriesDescription is also not nan, as these are the ones subject to the data entry error)\n", + "view_nan = dicom.loc[\n", + " (dicom.ViewPosition.isna()) & (dicom.SeriesDescription.isna() == False)\n", + "]\n", + "\n", + "# Drop these rows from\n", + "dicom_no_nans = dicom[~dicom.index.isin(view_nan.index)]\n", + "\n", + "view_nan[\"ViewPosition\"] = view_nan[\"SeriesDescription\"].apply(\n", + " lambda x: \"CC\" if \"CC\" in x else (\"MLO\" if \"MLO\" in x else None)\n", + ")\n", + "\n", + "dicom = pd.concat([dicom_no_nans, view_nan], axis=0, ignore_index=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "6ba1ca1e-605a-47cf-a1a4-a66c3f02eaa0", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "480323\n", + "420457\n" + ] + } + ], + "source": [ + "print(len(dicom))\n", + "# Remove any duplicated images\n", + "dicom = dicom.drop_duplicates(subset=\"anon_dicom_path\")\n", + "# Remove spot compressed and magnified images\n", + "dicom = dicom[dicom.spot_mag.isna()]\n", + "# Remove invalid views\n", + "dicom = dicom[dicom.ViewPosition.isin([\"CC\", \"MLO\"])]\n", + "# Remove images from male clients\n", + "dicom = dicom[dicom.PatientSex == \"F\"]\n", + "print(len(dicom))" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "2fb11f50-c3d9-4728-9d7c-f998950efda3", + "metadata": {}, + "outputs": [], + "source": [ + "# Remove any unnecessary fields from the DICOM imagewise dataframe (this may need to be updated in the future if other fields are deemed relevant)\n", + "dicom = dicom[\n", + " [\n", + " \"empi_anon\",\n", + " \"acc_anon\",\n", + " \"image_path\",\n", + " \"FinalImageType\",\n", + " \"ImageLateralityFinal\",\n", + " \"ViewPosition\",\n", + " \"Manufacturer\",\n", + " \"ManufacturerModelName\",\n", + " ]\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "063dd3c2-e1f5-4f06-b46b-86ac872bf53b", + "metadata": {}, + "outputs": [], + "source": [ + "# Conversion dictionary to standardised naming of various fields in clincial metadata\n", + "\n", + "# Human reader BIRADS density assessment\n", + "dens_conversion = {1.0: \"A\", 2.0: \"B\", 3.0: \"C\", 4.0: \"D\"}" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "b2bb7973", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "81776\n" + ] + } + ], + "source": [ + "# Load in the clinical metadata\n", + "mag = pd.read_csv(EMBED_ROOT / \"tables/EMBED_OpenData_clinical.csv\", low_memory=False)\n", + "print(len(mag))\n", + "# Remove cases from cases a valid BIRADS density assessment\n", + "mag = mag[mag.tissueden.isin([1.0, 2.0, 3.0, 4.0])]\n", + "mag.replace({\"tissueden\": dens_conversion}, inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "dbfa9fef", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "72188\n" + ] + } + ], + "source": [ + "# Keep important study metadata tags to join up with final aggregated dataframe at end of script\n", + "mag = mag[[\"empi_anon\", \"tissueden\", \"study_date_anon\", \"acc_anon\"]].drop_duplicates(\n", + " subset=\"acc_anon\"\n", + ")\n", + "print(len(mag))" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "718a3d73", + "metadata": {}, + "outputs": [], + "source": [ + "# Convert to pandas datetime object\n", + "mag[\"study_date_anon\"] = pd.to_datetime(mag[\"study_date_anon\"], errors=\"coerce\")" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "76ba820c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Manufacturer\n", + "HOLOGIC, Inc. 386257\n", + "GE MEDICAL SYSTEMS 25569\n", + "FUJIFILM Corporation 8133\n", + "GE HEALTHCARE 498\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dicom.Manufacturer.value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "c8f01bb6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "420457\n", + "418819\n" + ] + } + ], + "source": [ + "# Only consider studies which have a valid link between the DICOM and clinical metadata\n", + "print(len(dicom))\n", + "df = mag.merge(dicom, on=\"acc_anon\")\n", + "print(len(df))" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "10e15a67", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['empi_anon_x', 'tissueden', 'study_date_anon', 'acc_anon',\n", + " 'empi_anon_y', 'image_path', 'FinalImageType', 'ImageLateralityFinal',\n", + " 'ViewPosition', 'Manufacturer', 'ManufacturerModelName'],\n", + " dtype='object')" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "beb549c5", + "metadata": {}, + "outputs": [], + "source": [ + "# df.to_csv('joined_simple.csv', index=False)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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": 5 +} diff --git a/data_handling/csv_generation_code/rsna_generate_full_csv.py b/data_handling/csv_generation_code/rsna_generate_full_csv.py new file mode 100644 index 0000000..527243f --- /dev/null +++ b/data_handling/csv_generation_code/rsna_generate_full_csv.py @@ -0,0 +1,87 @@ +# Most function in this file are adapted from the Active Label Cleaning paper code: +# https://github.com/microsoft/InnerEye-DeepLearning/blob/ +# /InnerEye-DataQuality/InnerEyeDataQuality/datasets/noisy_cxr_benchmark_creation/ +# create_noisy_chestxray_dataset.py + +import json +from pathlib import Path + +import pandas as pd + + +def create_nih_dataframe( + mapping_file_path: Path, nih_metadata_file: Path +) -> pd.DataFrame: + """ + This function loads the json file mapping NIH ids to Kaggle images. + Loads the original NIH label (multiple labels for each image). + :param mapping_file_path: path to the json mapping from NIH to Kaggle dataset (on the + RSNA webpage) + :return: dataframe with original NIH labels for each patient in the Kaggle dataset. + """ + with open(mapping_file_path) as f: + list_subjects = json.load(f) + orig_dataset = pd.DataFrame(columns=["patientId", "orig_label"]) + orig_dataset["patientId"] = [subj["subset_img_id"] for subj in list_subjects] + orig_dataset["nih_image_id"] = [subj["img_id"] for subj in list_subjects] + orig_labels = [str(subj["orig_labels"]).lower() for subj in list_subjects] + orig_dataset["orig_label"] = orig_labels + orig_dataset["orig_label"].apply(lambda x: sorted(x)) + orig_dataset["StudyInstanceUID"] = [ + subj["StudyInstanceUID"] for subj in list_subjects + ] + metadata_nih = pd.read_csv(nih_metadata_file) + metadata_nih.rename(columns={"Image Index": "nih_image_id"}, inplace=True) + metadata_nih = metadata_nih[ + [ + "nih_image_id", + "Follow-up #", + "Patient Age", + "Patient Gender", + "View Position", + ] + ] + return pd.merge(orig_dataset, metadata_nih) + + +def create_mapping_dataset_nih( + mapping_file_path: Path, + nih_metadata: Path, + kaggle_dataset_path: Path, +) -> pd.DataFrame: + """ + Creates the final chest x-ray dataset combining labels from NIH and kaggle + Args: + mapping_file_path: json to map RSNA ids to NIH original Ids + nih_metadata: file to NIH metadata csv + kaggle_dataset_path: train labels csv RSNA Pneumonia Challenge + + Returns: + dataset with all metadata, Kaggle label + """ + orig_dataset = create_nih_dataframe(mapping_file_path, nih_metadata) + kaggle_dataset = pd.read_csv(kaggle_dataset_path) + # Merge NIH info with Kaggle dataset + merged = pd.merge(orig_dataset, kaggle_dataset) + merged.rename(columns={"Target": "label_rsna_pneumonia"}, inplace=True) + merged.label_rsna_pneumonia = merged.label_rsna_pneumonia.astype(bool) + merged.drop(columns=["x", "y", "width", "height"], inplace=True) + merged.drop_duplicates(subset="patientId", inplace=True) + return merged + + +if __name__ == "__main__": + current_dir = Path(__file__).parent + mapping_file = ( + Path(__file__).parent + / "original_csvs" + / "pneumonia-challenge-dataset-mappings_2018.json" + ) + nih_metadata = Path(__file__).parent / "original_csvs" / "Data_Entry_2017.csv" + kaggle_dataset_path = current_dir / "original_csvs" / "stage_2_train_labels.csv" + dataset = create_mapping_dataset_nih( + mapping_file, + nih_metadata, + kaggle_dataset_path, + ) + dataset.to_csv(current_dir / "pneumonia_dataset_with_metadata.csv", index=False) diff --git a/data_handling/mammo.py b/data_handling/mammo.py new file mode 100644 index 0000000..f2ad2f5 --- /dev/null +++ b/data_handling/mammo.py @@ -0,0 +1,518 @@ +from pathlib import Path +from typing import Any + +import cv2 +import numpy as np +import pandas as pd +import torch +from skimage import io +from sklearn.model_selection import train_test_split +from torch.utils.data import Dataset + +from data_handling.base import BaseDataModuleClass +from data_handling.caching import SharedCache +from torchvision.transforms import Resize + + +EMBED_ROOT = ( + "/data2/mb121/EMBED" + if Path("/data2/mb121/EMBED").exists() + else "/vol/biomedic3/data/EMBED" +) +VINDR_MAMMO_DIR = Path("/vol/biomedic3/data/VinDR-Mammo") + +domain_maps = { + "HOLOGIC, Inc.": 0, + "GE MEDICAL SYSTEMS": 1, + "FUJIFILM Corporation": 2, + "GE HEALTHCARE": 3, + "Lorad, A Hologic Company": 4, +} + +tissue_maps = {"A": 0, "B": 1, "C": 2, "D": 3} +modelname_map = { + "Selenia Dimensions": 0, + "Senographe Essential VERSION ADS_53.40": 5, + "Senographe Essential VERSION ADS_54.10": 5, + "Senograph 2000D ADS_17.4.5": 2, + "Senograph 2000D ADS_17.5": 2, + "Lorad Selenia": 3, + "Clearview CSm": 4, + "Senographe Pristina": 1, +} + + +def preprocess_breast(image_path, target_size): + """ + Loads the image performs basic background removal around the breast. + Works for text but not for objects in contact with the breast (as it keeps the + largest non background connected component.) + """ + image = cv2.imread(str(image_path)) + + if image is None: + # sometimes bug in reading images with cv2 + from skimage.util import img_as_ubyte + + image = io.imread(image_path) + gray = img_as_ubyte(image.astype(np.uint16)) + else: + gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) + + thresh = cv2.threshold(gray, 5, 255, cv2.THRESH_BINARY)[1] + + # Connected components with stats. + nb_components, output, stats, _ = cv2.connectedComponentsWithStats( + thresh, connectivity=4 + ) + + # Find the largest non background component. + # Note: range() starts from 1 since 0 is the background label. + max_label, _ = max( + [(i, stats[i, cv2.CC_STAT_AREA]) for i in range(1, nb_components)], + key=lambda x: x[1], + ) + mask = output == max_label + img = torch.tensor((gray * mask) / 255.0).unsqueeze(0).float() + img = Resize(target_size, antialias=True)(img) + return img + + +def get_embed_csv(): + image_dir = EMBED_ROOT / Path("images/png/1024x768") + try: + mydf = pd.read_csv(Path(__file__).parent / "joined_simple.csv") + except FileNotFoundError: + print( + """ + For running EMBED code you need to first generate the csv + file used for this study in csv_generation_code/generate_embed_csv.ipynb + """ + ) + + mydf["shortimgpath"] = mydf["image_path"] + mydf["image_path"] = mydf["image_path"].apply(lambda x: image_dir / str(x)) + + mydf["manufacturer_domain"] = mydf.Manufacturer.apply(lambda x: domain_maps[x]) + + # convert tissueden to trainable label + mydf["tissueden"] = mydf.tissueden.apply(lambda x: tissue_maps[x]) + + mydf["SimpleModelLabel"] = mydf.ManufacturerModelName.apply( + lambda x: modelname_map[x] + ) + mydf = mydf[mydf["SimpleModelLabel"] != 5] + print(mydf.SimpleModelLabel.value_counts()) + mydf["ViewLabel"] = mydf.ViewPosition.apply(lambda x: 0 if x == "MLO" else 1) + + mydf = mydf.dropna( + subset=[ + "age_at_study", + "tissueden", + "SimpleModelLabel", + "ViewLabel", + "image_path", + ] + ) + return mydf + + +def convert_vars_to_text(vars): + sentence = "" + if "scanner" in vars.keys(): + sentence += f"Scanner: {vars['scanner']}." + if "cview" in vars.keys(): + sentence += " Type: FFDM." if vars["cview"] == 0 else " Type: Cview." + if "view" in vars.keys(): + sentence += f" {vars['view']} view." + if "age" in vars.keys(): + sentence += f" Patient age: {vars['age']}." + if "density" in vars.keys(): + sentence += f" Density: {vars['density']}." + return sentence + + +class EmbedDataset(Dataset): + def __init__( + self, + df: pd.DataFrame, + transform: torch.nn.Module, + parents, + target_size, + label="tissueden", + cache: bool = True, + use_counterfactuals: bool = False, + counterfactual_contrastive_pairs: bool = True, + ) -> None: + self.imgs_paths = df.image_path.values + self.shortpaths = df.shortimgpath.values + self.labels = df[label].values + print(df[label].value_counts()) + + self.transform = transform + self.target_size = target_size + self.views = df.ViewLabel.values + self.scanner = df.SimpleModelLabel.values + self.cview = df.FinalImageType.apply(lambda x: 0 if x == "2D" else 1).values + self.age = df.age_at_study.values + self.parents = parents + print(self.parents) + self.densities = df.tissueden.values + data_dims = [1, self.target_size[0], self.target_size[1]] + if cache: + self.cache = SharedCache( + size_limit_gib=96, + dataset_len=self.labels.shape[0], + data_dims=data_dims, + dtype=torch.float32, + ) + else: + self.cache = None + self.use_counterfactuals = use_counterfactuals + self.counterfactual_contrastive_pairs = counterfactual_contrastive_pairs + + def __getitem__(self, index) -> Any: + if self.cache is not None: + # retrieve data from cache if it's there + img = self.cache.get_slot(index) + # x will be None if the cache slot was empty or OOB + if img is None: + img = preprocess_breast(self.imgs_paths[index], self.target_size) + self.cache.set_slot(index, img, allow_overwrite=True) # try to cache x + else: + img = preprocess_breast(self.imgs_paths[index], self.target_size) + sample = {} + age = self.age[index] + sample["cview"] = self.cview[index] + sample["shortpath"] = str(self.shortpaths[index]) + sample["real_age"] = age + sample["view"] = self.views[index] + sample["density"] = torch.nn.functional.one_hot( + torch.tensor(self.densities[index]).long(), num_classes=4 + ).detach() + sample["y"] = self.labels[index] + sample["scanner_int"] = self.scanner[index] + sample["scanner"] = torch.nn.functional.one_hot( + torch.tensor(self.scanner[index]).long(), num_classes=5 + ).detach() + + # Only used for causal models + if self.parents is not None: + sample["pa"] = torch.cat( + [ + sample[c] + if isinstance(sample[c], torch.Tensor) + else torch.tensor([sample[c]]) + for c in self.parents + ] + ).detach() + + if self.use_counterfactuals: + # original + rdn = torch.rand(1).item() + # if you sample the same scanner use real + # (p of same scanner is 1 out 5) + if rdn > 0.8: + cfx = img.clone() + # else sample one out of the 4 remaining + else: + cfx = self.load_counterfactual_image(index) + if not self.counterfactual_contrastive_pairs: + img = cfx.clone() + + img = self.transform(img) + cfx = self.transform(cfx) + + img = torch.stack([img, cfx], dim=0) + + else: + img = self.transform(img).float() + + sample["x"] = img + + return sample + + def __len__(self): + return self.labels.shape[0] + + def load_counterfactual_image(self, index): + short_path = str(self.shortpaths[index])[:-4] + s = int( + np.random.choice([a for a in range(5) if a != self.scanner[index]], size=1) + ) + + cf_dir1 = Path("/data2/mb121/EMBED/embed_cf/cf_beta1balanced_scanner") + + filename = cf_dir1 / f"{short_path}_s{s}.png" + + img = io.imread(str(filename), as_gray=True) / 255.0 + assert img.max() <= 1 + return torch.tensor(img).unsqueeze(0).float() + + +class EmbedDataModule(BaseDataModuleClass): + @property + def dataset_name(self) -> str: + return "EMBED" + + def get_all_csv_from_config( + self, orig_df, label, domain=None, model=None, exclude_cviews=True + ): + df = orig_df.copy() + print(len(df)) + if exclude_cviews: + df = df.loc[df.FinalImageType == "2D"] + print(len(df)) + if label == "tissueden": + y = ( + df.groupby("empi_anon")["tissueden"] + .unique() + .apply(lambda x: x[0]) + .values + ) + train_id, val_id = train_test_split( + df.empi_anon.unique(), test_size=0.25, random_state=33, stratify=y + ) + else: + NotImplementedError + + # 25% of patients - 600 for test + test_id = val_id[600:] + + # 600 patients for val + val_id = val_id[:600] + + print( + f"N patients train: {train_id.shape[0]}, val: {val_id.shape[0]}, test {test_id.shape[0]}" # noqa + ) + + if self.config.data.prop_train < 1.0: + train_id = np.sort(train_id) + y = ( + df.loc[df["empi_anon"].isin(train_id)] + .groupby("empi_anon")["SimpleModelLabel"] + .unique() + .apply(lambda x: x[0]) + .sort_index() + ) + assert y.index[0] == train_id[0] + + train_id, _ = train_test_split( + train_id, + train_size=int(self.config.data.prop_train * train_id.shape[0]), + stratify=y.values, + random_state=self.config.seed, + ) + + if domain != "None" and domain is not None: + df = df.loc[df.manufacturer_domain == domain] + if domain == domain_maps["HOLOGIC, Inc."]: + df = df.loc[df.ManufacturerModelName == "Selenia Dimensions"] + if model != "None" and model is not None: + df = df.loc[df.SimpleModelLabel == model] + + print("train n images" + str(len(df.loc[df.empi_anon.isin(train_id)]))) + print("test" + str(len(df.loc[df.empi_anon.isin(test_id)]))) + print("val" + str(len(df.loc[df.empi_anon.isin(val_id)]))) + print("Scanner in complete df") + print(df.SimpleModelLabel.value_counts(normalize=True)) + print("Scanner in train df") + print( + df[df.empi_anon.isin(train_id)].SimpleModelLabel.value_counts( + normalize=True + ) + ) + print(df[df.empi_anon.isin(train_id)].tissueden.value_counts(normalize=True)) + print("Scanner in test df") + print( + df[df.empi_anon.isin(test_id)].SimpleModelLabel.value_counts(normalize=True) + ) + print(df[df.empi_anon.isin(test_id)].tissueden.value_counts(normalize=True)) + return { + "train": df.loc[df.empi_anon.isin(train_id)], + "val": df.loc[df.empi_anon.isin(val_id)], + "test": df.loc[df.empi_anon.isin(test_id)], + } + + def create_datasets(self) -> None: + self.full_df = get_embed_csv() + split_csv_dict = self.get_all_csv_from_config( + orig_df=self.full_df, + label=self.config.data.label, + exclude_cviews=self.config.data.exclude_cviews, + domain=self.config.data.domain, + model=None, + ) + + self.target_size = self.config.data.augmentations.resize + self.dataset_train = EmbedDataset( + df=split_csv_dict["train"], + transform=self.train_tsfm, + target_size=self.target_size, + label=self.config.data.label, + parents=self.parents, + cache=self.config.data.cache, + use_counterfactuals=self.config.data.use_counterfactuals, + counterfactual_contrastive_pairs=self.config.data.counterfactual_contrastive, + ) + + self.dataset_val = EmbedDataset( + df=split_csv_dict["val"], + transform=self.val_tsfm, + target_size=self.target_size, + label=self.config.data.label, + parents=self.parents, + cache=self.config.data.cache, + ) + + self.dataset_test = EmbedDataset( + df=split_csv_dict["test"], + transform=self.val_tsfm, + target_size=self.target_size, + label=self.config.data.label, + parents=self.parents, + cache=True, + ) + + @property + def num_classes(self) -> int: + match self.config.data.label: + case "tissueden": + return 4 + case "SimpleModelLabel": + return 5 + case "ViewLabel": + return 2 + case _: + raise ValueError + + +def prepare_vindr_dataset(): + df = pd.read_csv(VINDR_MAMMO_DIR / "breast-level_annotations.csv") + meta = pd.read_csv(VINDR_MAMMO_DIR / "metadata.csv") + df["img_path"] = df[["study_id", "image_id"]].apply( + lambda x: VINDR_MAMMO_DIR / "pngs" / x[0] / f"{x[1]}.png", axis=1 + ) + df["ViewLabel"] = df.view_position.apply(lambda x: 0 if x == "MLO" else 1) + tissue_maps = {"DENSITY A": 0, "DENSITY B": 1, "DENSITY C": 2, "DENSITY D": 3} + df["tissueden"] = df.breast_density.apply(lambda x: tissue_maps[x]) + df = pd.merge(df, meta, left_on="image_id", right_on="SOP Instance UID") + df["Scanner"] = df["Manufacturer's Model Name"] + df["Manufacturer"] = df["Manufacturer"] + df.dropna(subset="tissueden", inplace=True) + return df + + +class VinDrDataModule(BaseDataModuleClass): + def create_datasets(self): + df = prepare_vindr_dataset() + study_ids = df["Series Instance UID"].unique() + train_val_id, test_id = train_test_split( + study_ids, test_size=0.3, random_state=33 + ) + train_id, val_id = train_test_split( + train_val_id, test_size=0.2, random_state=33 + ) + self.target_size = self.config.data.augmentations.resize + print( + f"N patients train: {train_id.shape[0]}, val: {val_id.shape[0]}, test {test_id.shape[0]}" # noqa + ) + if self.config.data.prop_train < 1.0: + train_id = np.sort(train_id) + y = ( + df.loc[df["Series Instance UID"].isin(train_id)] + .groupby("Series Instance UID")["tissueden"] + .unique() + .apply(lambda x: x[0]) + .sort_index() + ) + assert y.index[0] == train_id[0] + train_id, _ = train_test_split( + train_id, + train_size=int(self.config.data.prop_train * train_id.shape[0]), + stratify=y.values, + random_state=self.config.seed, + ) + + self.dataset_train = VinDRMammoDataset( + df=df.loc[df["Series Instance UID"].isin(train_id)], + transform=self.train_tsfm, + cache=self.config.data.cache, + target_size=self.target_size, + ) + + self.dataset_val = VinDRMammoDataset( + df=df.loc[df["Series Instance UID"].isin(val_id)], + transform=self.val_tsfm, + cache=self.config.data.cache, + target_size=self.target_size, + ) + + self.dataset_test = VinDRMammoDataset( + df=df.loc[df["Series Instance UID"].isin(test_id)], + transform=self.val_tsfm, + cache=True, + target_size=self.target_size, + ) + + @property + def dataset_name(self): + return "vindr" + + @property + def num_classes(self): + return 4 + + +class VinDRMammoDataset(Dataset): + def __init__( + self, + df: pd.DataFrame, + transform: torch.nn.Module, + target_size, + cache: bool = True, + ) -> None: + self.imgs_paths = df.img_path.values + print(f"len df {self.imgs_paths.shape[0]}") + self.labels = df["tissueden"].values + print(df["tissueden"].value_counts()) + print(df["tissueden"].value_counts(normalize=True)) + self.transform = transform + self.target_size = target_size + self.views = df.ViewLabel.values + self.scanner = df.Scanner.values + self.manufacturer = df.Manufacturer.values + self.densities = df.tissueden.values + data_dims = [1, self.target_size[0], self.target_size[1]] + if cache: + self.cache = SharedCache( + size_limit_gib=96, + dataset_len=self.labels.shape[0], + data_dims=data_dims, + dtype=torch.float32, + ) + else: + self.cache = None + + def __getitem__(self, index) -> Any: + if self.cache is not None: + # retrieve data from cache if it's there + img = self.cache.get_slot(index) + # x will be None if the cache slot was empty or OOB + if img is None: + img, _ = preprocess_breast(self.imgs_paths[index], self.target_size) + self.cache.set_slot(index, img, allow_overwrite=True) # try to cache x + else: + img, _ = preprocess_breast(self.imgs_paths[index], self.target_size) + + sample = {} + sample["view"] = self.views[index] + sample["y"] = self.labels[index] + sample["scanner"] = self.scanner[index] + sample["manufacturer"] = self.manufacturer[index] + img = self.transform(img).float() + sample["x"] = img + return sample + + def __len__(self): + return self.labels.shape[0] diff --git a/data_handling/pneumonia_dataset_with_metadata.csv b/data_handling/pneumonia_dataset_with_metadata.csv new file mode 100644 index 0000000..6354f3f --- /dev/null +++ b/data_handling/pneumonia_dataset_with_metadata.csv @@ -0,0 +1,26685 @@ +patientId,orig_label,nih_image_id,StudyInstanceUID,Follow-up #,Patient Age,Patient Gender,View Position,label_rsna_pneumonia,class,avg_conf_score,min_conf_score,max_conf_score,count_nonzero,list,ambiguous +76c05ccc-eaf3-467b-abae-7f8f1a4aa6c9,"['consolidation', 'effusion', 'infiltration']",00030497_003.png,1.2.276.0.7230010.3.1.2.8323329.1476.1517874291.106014,3,25,M,AP,True,Lung Opacity,3.0,3.0,3.0,2.0,"[3, 3]",False 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Opacity,2.0,2.0,2.0,1.0,[2],False +ac38760f-7332-4278-b011-982c9615f3cf,"['infiltration', 'pleural_thickening']",00004013_002.png,1.2.276.0.7230010.3.1.2.8323329.1838.1517874293.178182,2,70,M,PA,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +40519f48-dcee-454d-a460-5feb88b12ef5,['no finding'],00011412_003.png,1.2.276.0.7230010.3.1.2.8323329.1843.1517874293.204104,3,13,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ed16c76e-5eab-4e53-ae8f-a006133d6910,"['fibrosis', 'pleural_thickening']",00000286_000.png,1.2.276.0.7230010.3.1.2.8323329.1834.1517874293.154162,0,64,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e80ff5c3-17fa-4366-ab3a-a248876e1513,['no finding'],00004442_003.png,1.2.276.0.7230010.3.1.2.8323329.1839.1517874293.178796,3,60,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +0f2bce55-7193-45d0-8223-d978b550477a,"['atelectasis', 'effusion']",00006663_002.png,1.2.276.0.7230010.3.1.2.8323329.1873.1517874293.348856,2,48,F,AP,True,Lung 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finding'],00026312_001.png,1.2.276.0.7230010.3.1.2.8323329.1968.1517874293.800770,1,16,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +06ec9278-5144-4b88-87f4-c195bb24857d,"['emphysema', 'infiltration']",00026412_026.png,1.2.276.0.7230010.3.1.2.8323329.1973.1517874293.823683,26,26,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +62ce6e7f-e6f9-400f-81aa-1efd9301e256,"['infiltration', 'mass']",00015160_020.png,1.2.276.0.7230010.3.1.2.8323329.1950.1517874293.739751,20,39,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +6d7eeaa9-f060-4fc2-ae1d-f4dd1476fee9,['no finding'],00019741_002.png,1.2.276.0.7230010.3.1.2.8323329.1957.1517874293.763457,2,51,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6966f0a9-201d-4ec6-a077-fe9d77c199eb,"['effusion', 'infiltration']",00020482_048.png,1.2.276.0.7230010.3.1.2.8323329.1982.1517874293.864042,48,29,F,AP,True,Lung Opacity,1.5,1.0,2.0,2.0,"[2, 1]",False +ecb7579a-e9c6-45ad-b414-be2a29b0c025,['no finding'],00016649_016.png,1.2.276.0.7230010.3.1.2.8323329.1958.1517874293.777618,16,57,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f9ccffe6-0f7b-43d7-9962-84888673fb57,['infiltration'],00010120_017.png,1.2.276.0.7230010.3.1.2.8323329.1983.1517874293.863769,17,49,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +833a38fd-dab6-4dd9-ba53-0f536b86555b,['infiltration'],00008522_037.png,1.2.276.0.7230010.3.1.2.8323329.1987.1517874293.885261,37,61,F,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +3b81bcea-ee88-4c13-b4f6-2a53161d2b22,['no finding'],00016800_009.png,1.2.276.0.7230010.3.1.2.8323329.1994.1517874293.930268,9,50,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +228b3dc1-f78a-4ac9-b213-2a416583d063,['effusion'],00016801_005.png,1.2.276.0.7230010.3.1.2.8323329.1964.1517874293.790388,5,48,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +6b58d363-12fd-4194-81e2-d1637d678793,['no finding'],00010054_000.png,1.2.276.0.7230010.3.1.2.8323329.1972.1517874293.818169,0,27,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f3e84228-4dae-4184-88d2-b68179777982,"['atelectasis', 'effusion', 'infiltration']",00010625_015.png,1.2.276.0.7230010.3.1.2.8323329.1995.1517874293.939533,15,37,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f07c618b-3c6e-4411-b236-e2b16647b1a9,['no finding'],00016786_007.png,1.2.276.0.7230010.3.1.2.8323329.2002.1517874293.984925,7,23,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +31460e18-fc20-4b1d-9c80-c9c266f9f9ba,['no finding'],00002865_000.png,1.2.276.0.7230010.3.1.2.8323329.1966.1517874293.795704,0,80,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +409cfb1b-aaab-4715-8f96-c6abe19ad561,"['consolidation', 'nodule']",00022785_001.png,1.2.276.0.7230010.3.1.2.8323329.2032.1517874294.142471,1,31,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +523ad7b7-2430-4621-a90d-02d0e33f99a2,"['consolidation', 'effusion']",00012834_048.png,1.2.276.0.7230010.3.1.2.8323329.2007.1517874293.993973,48,33,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +01f0f4bf-e678-430e-b43d-2968e2c4976c,['no finding'],00010485_001.png,1.2.276.0.7230010.3.1.2.8323329.2034.1517874294.144226,1,57,M,PA,False,Normal,3.0,3.0,3.0,1.0,[3],True +8f234a84-4067-4bd2-a114-8b894ddad52f,['infiltration'],00022806_001.png,1.2.276.0.7230010.3.1.2.8323329.2040.1517874294.183954,1,30,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8f7ce839-5100-457c-8720-11e55eb68fcb,['mass'],00026573_001.png,1.2.276.0.7230010.3.1.2.8323329.1981.1517874293.863240,1,55,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +91a5a1c1-812a-4e4d-ba2d-e0c3d64c8b65,['atelectasis'],00028195_001.png,1.2.276.0.7230010.3.1.2.8323329.1993.1517874293.926200,1,42,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6520137b-c98c-42be-9689-dbce52e1df6b,['consolidation'],00023138_011.png,1.2.276.0.7230010.3.1.2.8323329.2005.1517874293.985667,11,40,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +687b82e1-dae9-4fe0-873a-5dcd303ec751,"['consolidation', 'infiltration']",00027189_008.png,1.2.276.0.7230010.3.1.2.8323329.2019.1517874294.70956,8,60,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +cbde6d62-270e-4dd6-8b34-c968cf5791dc,['atelectasis'],00005537_001.png,1.2.276.0.7230010.3.1.2.8323329.1986.1517874293.886369,1,55,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5ba0c7dc-14c1-4afc-8902-7f6ae0189496,['infiltration'],00022139_006.png,1.2.276.0.7230010.3.1.2.8323329.2026.1517874294.99687,6,42,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ed4ece2f-96ca-4153-b165-79816f5a16f2,['no finding'],00016944_007.png,1.2.276.0.7230010.3.1.2.8323329.2039.1517874294.171710,7,21,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7e2b8ceb-9db2-4159-9e63-96d734dd1218,"['infiltration', 'nodule']",00027572_002.png,1.2.276.0.7230010.3.1.2.8323329.1985.1517874293.886369,2,26,M,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +bc27110a-a1ca-4722-9c7f-0bcd7e0b0961,['no finding'],00029824_000.png,1.2.276.0.7230010.3.1.2.8323329.1991.1517874293.907030,0,66,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +378519f3-871d-4eaa-835a-069edecc41ae,['cardiomegaly'],00021845_000.png,1.2.276.0.7230010.3.1.2.8323329.1997.1517874293.949365,0,19,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +cd05916f-af4d-47a0-a4b1-4f9d2436d54f,['effusion'],00009925_024.png,1.2.276.0.7230010.3.1.2.8323329.2003.1517874293.985777,24,56,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +1505f53a-4da5-416e-a279-66849672051c,['no finding'],00009034_000.png,1.2.276.0.7230010.3.1.2.8323329.1988.1517874293.886886,0,63,M,AP,True,Lung Opacity,1.0,1.0,1.0,2.0,"[1, 1]",True +6cb0dab9-dcde-450c-95c5-6bc1dafc2423,"['cardiomegaly', 'effusion']",00027685_003.png,1.2.276.0.7230010.3.1.2.8323329.1990.1517874293.907032,3,61,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +486777ec-9e13-4bc8-b578-f7d48c098c6b,['no finding'],00020210_000.png,1.2.276.0.7230010.3.1.2.8323329.1999.1517874293.962581,0,20,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +923700aa-f732-4ced-a732-c52a7b0ae297,['atelectasis'],00019222_003.png,1.2.276.0.7230010.3.1.2.8323329.2011.1517874294.24967,3,72,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +86054053-e1e2-4fa9-85b7-0ba7a6708afb,"['atelectasis', 'effusion', 'fibrosis', 'infiltration']",00008554_001.png,1.2.276.0.7230010.3.1.2.8323329.1998.1517874293.947223,1,74,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9c388222-9984-4394-9039-dea9003ff490,['infiltration'],00029817_002.png,1.2.276.0.7230010.3.1.2.8323329.2001.1517874293.974374,2,67,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d0e572e1-e769-4863-9041-be32b9d0d380,['no finding'],00007000_001.png,1.2.276.0.7230010.3.1.2.8323329.2008.1517874293.998571,1,40,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7a468145-d156-44b2-832a-a75b651fd954,['effusion'],00021457_007.png,1.2.276.0.7230010.3.1.2.8323329.2020.1517874294.75648,7,34,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c7024796-39ed-4eda-906d-65a1fb5d5c52,['no finding'],00008563_003.png,1.2.276.0.7230010.3.1.2.8323329.2004.1517874293.977657,3,53,F,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +d3ef42c6-3e5e-4a1a-8ad1-c75965665d37,['no finding'],00009815_004.png,1.2.276.0.7230010.3.1.2.8323329.2010.1517874294.10326,4,79,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a353f72a-4fed-4813-bd87-e4f53f1b922d,['infiltration'],00008694_005.png,1.2.276.0.7230010.3.1.2.8323329.2021.1517874294.78130,5,55,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a732c253-1bef-4bd9-a2f5-c1f38dd8aab6,['mass'],00021177_000.png,1.2.276.0.7230010.3.1.2.8323329.2112.1517874294.724357,0,21,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b01c0d6b-11ad-463d-85bc-f4e4f1dfbc8a,['consolidation'],00018044_021.png,1.2.276.0.7230010.3.1.2.8323329.2121.1517874294.752446,21,34,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +515ab870-a80e-47f1-bd51-05a6fc02cba0,['infiltration'],00002437_005.png,1.2.276.0.7230010.3.1.2.8323329.2127.1517874294.781692,5,54,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +bb7973b1-58b1-4e2e-b687-144e179f0996,['infiltration'],00022572_025.png,1.2.276.0.7230010.3.1.2.8323329.2152.1517874294.900053,25,48,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +159afd7a-feda-4c99-aa7b-f6eaef84afb9,"['effusion', 'infiltration']",00015530_124.png,1.2.276.0.7230010.3.1.2.8323329.2113.1517874294.718564,124,21,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False 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'infiltration']",00013615_022.png,1.2.276.0.7230010.3.1.2.8323329.2149.1517874294.886010,22,10,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +f49ad8c6-4e33-4038-813c-5d71baa3c574,"['effusion', 'pleural_thickening']",00011104_002.png,1.2.276.0.7230010.3.1.2.8323329.2131.1517874294.790648,2,60,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +cf56523f-376d-42af-89a5-ba0b921a2881,['edema'],00011632_003.png,1.2.276.0.7230010.3.1.2.8323329.2145.1517874294.857831,3,57,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c361c9ca-75e4-438b-a021-3c3d4af33a83,"['cardiomegaly', 'effusion', 'emphysema', 'infiltration', 'pneumothorax']",00001580_001.png,1.2.276.0.7230010.3.1.2.8323329.2148.1517874294.878219,1,40,M,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +62618b38-bbf8-4d36-b0f2-8aecf2f88814,"['atelectasis', 'effusion']",00020819_016.png,1.2.276.0.7230010.3.1.2.8323329.2147.1517874294.876682,16,71,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5ea29371-3680-4942-bd1c-67b5d8835f79,"['cardiomegaly', 'effusion']",00023167_000.png,1.2.276.0.7230010.3.1.2.8323329.2160.1517874294.967235,0,64,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +4f9042e1-9a6c-4c81-8006-c19faff7a248,['infiltration'],00016489_002.png,1.2.276.0.7230010.3.1.2.8323329.2166.1517874295.12891,2,42,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d77b519d-abb7-49d7-8bec-dedebe8f50d1,['no finding'],00023112_001.png,1.2.276.0.7230010.3.1.2.8323329.2150.1517874294.884667,1,44,F,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +875be0df-50f9-4b73-9e62-fde4677c515a,['infiltration'],00000273_003.png,1.2.276.0.7230010.3.1.2.8323329.2163.1517874294.930,3,66,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +05333c60-bee9-4c69-adc6-fc9de52e8cdb,"['atelectasis', 'infiltration']",00008297_005.png,1.2.276.0.7230010.3.1.2.8323329.2187.1517874295.114103,5,18,F,AP,True,Lung Opacity,1.5,1.0,2.0,2.0,"[1, 2]",False 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'infiltration']",00023325_008.png,1.2.276.0.7230010.3.1.2.8323329.2520.1517874297.52448,8,79,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7f698c7a-4991-4a30-b1b5-d2165cefb7dd,['infiltration'],00007322_029.png,1.2.276.0.7230010.3.1.2.8323329.2439.1517874296.529402,29,68,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c20bbbc0-b770-4199-af48-4c63a48dce6d,['no finding'],00019869_000.png,1.2.276.0.7230010.3.1.2.8323329.2459.1517874296.680414,0,41,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +2cf3b965-6711-4f43-8bab-5e27e3d12909,"['nodule', 'pneumothorax']",00020195_019.png,1.2.276.0.7230010.3.1.2.8323329.2474.1517874296.757208,19,51,M,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,2.0,"[1, 1]",True +9ceaf2ea-05c0-4531-9e21-df1e40524f45,['infiltration'],00001093_005.png,1.2.276.0.7230010.3.1.2.8323329.2482.1517874296.801692,5,64,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +949d29ea-c8d1-4627-aa46-65aca7112946,"['consolidation', 'effusion']",00013249_004.png,1.2.276.0.7230010.3.1.2.8323329.2458.1517874296.661436,4,14,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +cb85b732-7abe-42b6-843e-c6884a619361,"['effusion', 'infiltration']",00019087_025.png,1.2.276.0.7230010.3.1.2.8323329.2462.1517874296.685730,25,33,M,PA,True,Lung Opacity,3.0,3.0,3.0,1.0,[3],False +d21ed05e-ee77-41f3-a363-ee66ae2f35da,['infiltration'],00020625_000.png,1.2.276.0.7230010.3.1.2.8323329.2475.1517874296.757862,0,37,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +60533df3-637f-4da8-955b-be149df0a192,['no finding'],00007158_000.png,1.2.276.0.7230010.3.1.2.8323329.2455.1517874296.647945,0,33,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7e44b537-f505-4092-a35e-87de71fbc84e,"['atelectasis', 'infiltration']",00018175_030.png,1.2.276.0.7230010.3.1.2.8323329.2493.1517874296.871760,30,56,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +54e87eae-269b-4bac-a1e4-d1482d5582bd,['atelectasis'],00015641_009.png,1.2.276.0.7230010.3.1.2.8323329.2506.1517874296.946084,9,68,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5e3a73e9-de81-4628-ac1b-4da9441b54ec,['no finding'],00006803_000.png,1.2.276.0.7230010.3.1.2.8323329.2512.1517874296.981192,0,46,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +85dad6b6-8a4f-4189-b1c0-006a66f5b0bd,"['atelectasis', 'infiltration']",00015861_006.png,1.2.276.0.7230010.3.1.2.8323329.2456.1517874296.659306,6,74,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9e245d54-396c-4479-9c88-85962bf5e108,"['atelectasis', 'mass']",00025342_006.png,1.2.276.0.7230010.3.1.2.8323329.2464.1517874296.697353,6,61,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +bfc02dc9-0633-4770-968e-b5c8b980d469,['infiltration'],00027552_000.png,1.2.276.0.7230010.3.1.2.8323329.2473.1517874296.747902,0,54,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Opacity,2.0,2.0,2.0,1.0,[2],False +9f9b51c5-dd69-4bf8-bb3f-49def4d4b85f,"['effusion', 'infiltration']",00012834_016.png,1.2.276.0.7230010.3.1.2.8323329.2477.1517874296.768308,16,33,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +3525e9a3-8b21-434a-8aec-f216cc36b677,['infiltration'],00025048_000.png,1.2.276.0.7230010.3.1.2.8323329.2484.1517874296.814041,0,23,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9ebdbeb1-2825-4a76-a23b-e51844753bf5,['no finding'],00029129_003.png,1.2.276.0.7230010.3.1.2.8323329.2472.1517874296.734498,3,61,M,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +191049fc-41ac-4cca-b612-c5884338cc79,['pneumothorax'],00019233_006.png,1.2.276.0.7230010.3.1.2.8323329.2483.1517874296.816626,6,45,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a4b25feb-c992-4481-b31e-6367c3dbabb2,"['infiltration', 'nodule']",00020472_002.png,1.2.276.0.7230010.3.1.2.8323329.2503.1517874296.928091,2,56,F,PA,False,No Lung Opacity / Not 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b7b167ec-a640-4127-90c6-56ac2e9a4bdb,['no finding'],00014652_001.png,1.2.276.0.7230010.3.1.2.8323329.2619.1517874297.552025,1,65,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ab2f11f0-f776-48b8-9d23-95ecfc7c583a,['infiltration'],00030460_000.png,1.2.276.0.7230010.3.1.2.8323329.2641.1517874297.650207,0,53,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3ed451f4-ff11-489e-9d3f-c7abf1c696be,['no finding'],00006752_000.png,1.2.276.0.7230010.3.1.2.8323329.2646.1517874297.673135,0,48,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +0c119e49-629b-4507-9df6-4dd03327b89e,['infiltration'],00021702_000.png,1.2.276.0.7230010.3.1.2.8323329.2603.1517874297.429919,0,64,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8fa0207f-cc3c-43fb-9a1c-a0475f77e680,['no finding'],00024404_000.png,1.2.276.0.7230010.3.1.2.8323329.2618.1517874297.555644,0,58,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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+322ffc74-ef0c-4f21-8603-8d33f5de3b07,"['emphysema', 'infiltration', 'pneumothorax']",00008841_037.png,1.2.276.0.7230010.3.1.2.8323329.2693.1517874297.977584,37,50,F,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +e3d0271b-b53f-4d6b-9e99-57fab7644798,['no finding'],00014520_016.png,1.2.276.0.7230010.3.1.2.8323329.2704.1517874298.17081,16,32,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c2c8408e-74e8-4948-8f4f-9fc28e1f266b,['cardiomegaly'],00004809_008.png,1.2.276.0.7230010.3.1.2.8323329.2669.1517874297.823402,8,37,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +739d9cfa-978d-43ac-b635-6a782c52a307,"['atelectasis', 'edema', 'effusion', 'infiltration']",00014792_013.png,1.2.276.0.7230010.3.1.2.8323329.2689.1517874297.938022,13,57,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +98447918-1170-4213-abaf-437efe240700,['effusion'],00021086_000.png,1.2.276.0.7230010.3.1.2.8323329.2702.1517874298.10614,0,62,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +d5360dc4-6bea-4a7b-bc49-5b2547ad7877,['mass'],00029207_008.png,1.2.276.0.7230010.3.1.2.8323329.2678.1517874297.874592,8,23,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5d256814-d5bd-4f0f-89f6-5f111574be94,"['emphysema', 'pneumothorax']",00012315_021.png,1.2.276.0.7230010.3.1.2.8323329.2692.1517874297.945936,21,30,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d85118d0-c7de-4397-a6da-b60ff8a249f0,['nodule'],00014004_013.png,1.2.276.0.7230010.3.1.2.8323329.2697.1517874297.979156,13,58,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +cae49e79-ef94-4142-a603-19a4c63305a1,['no finding'],00020375_004.png,1.2.276.0.7230010.3.1.2.8323329.2675.1517874297.861530,4,12,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8a0cf3ae-7c71-4ab7-8479-1dd9b3cd9748,"['infiltration', 'mass']",00019013_005.png,1.2.276.0.7230010.3.1.2.8323329.2684.1517874297.896133,5,43,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7c96cef1-38c4-46ac-b935-27c35e2274ed,"['atelectasis', 'cardiomegaly', 'consolidation']",00007292_004.png,1.2.276.0.7230010.3.1.2.8323329.2690.1517874297.931864,4,46,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8ba647d3-a5c9-4ded-815a-e24dbfe7dd59,['no finding'],00017435_000.png,1.2.276.0.7230010.3.1.2.8323329.2698.1517874297.975243,0,61,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +48bea347-0966-4b29-af69-52ba98ad70a6,['atelectasis'],00020457_000.png,1.2.276.0.7230010.3.1.2.8323329.2686.1517874297.909512,0,68,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f79478cf-4446-49c7-904e-96ffff565a34,['mass'],00013051_001.png,1.2.276.0.7230010.3.1.2.8323329.2694.1517874297.973353,1,55,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d6b6b653-50d4-4107-986d-6321f9d23ce3,"['consolidation', 'mass']",00016041_004.png,1.2.276.0.7230010.3.1.2.8323329.2703.1517874297.2445,4,71,M,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +d8cd9b5c-3416-4732-9915-dd3b5b409383,"['atelectasis', 'effusion']",00006039_018.png,1.2.276.0.7230010.3.1.2.8323329.2688.1517874297.916539,18,59,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +bf90b850-cae0-4f24-9767-a63923beeaf3,['no finding'],00020196_000.png,1.2.276.0.7230010.3.1.2.8323329.2729.1517874298.126626,0,23,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a8495b35-2133-4127-85ca-6efa8db7a81a,"['edema', 'effusion']",00013601_019.png,1.2.276.0.7230010.3.1.2.8323329.2736.1517874298.172682,19,61,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +47566189-d996-49b4-bec9-1eab390d1649,['no finding'],00029111_000.png,1.2.276.0.7230010.3.1.2.8323329.2742.1517874298.203396,0,51,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d79e7709-3d77-4be2-9f22-a81a1999067a,['infiltration'],00020505_010.png,1.2.276.0.7230010.3.1.2.8323329.2705.1517874298.19788,10,52,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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+8a7aa489-8719-4f2c-bec0-0bf74467fb83,['no finding'],00013471_006.png,1.2.276.0.7230010.3.1.2.8323329.2741.1517874298.196049,6,63,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a90e1a15-1541-466d-8b16-9a7083fd8555,['infiltration'],00013855_003.png,1.2.276.0.7230010.3.1.2.8323329.2757.1517874298.299339,3,37,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +15de0e36-aad2-49f5-b797-dba25cc0c500,"['atelectasis', 'effusion', 'infiltration']",00018669_004.png,1.2.276.0.7230010.3.1.2.8323329.2778.1517874298.401272,4,63,M,AP,True,Lung Opacity,1.5,1.0,2.0,2.0,"[2, 1]",False +c2657014-120e-456e-97e5-1adcdb908b73,"['edema', 'infiltration']",00003528_021.png,1.2.276.0.7230010.3.1.2.8323329.2712.1517874298.55839,21,46,M,AP,True,Lung Opacity,2.5,2.0,3.0,2.0,"[2, 3]",False +ce1bca7d-6c35-4778-b310-c3d916111534,['consolidation'],00021750_007.png,1.2.276.0.7230010.3.1.2.8323329.2725.1517874298.108655,7,68,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c75b9975-7f5a-46a3-b5c3-fcb706fd50b4,['hernia'],00008694_004.png,1.2.276.0.7230010.3.1.2.8323329.2738.1517874298.184689,4,55,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3132440e-c4bc-4dc5-b7af-ef3e082ed989,"['atelectasis', 'effusion', 'infiltration', 'pneumonia']",00026798_001.png,1.2.276.0.7230010.3.1.2.8323329.2750.1517874298.245497,1,38,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,2.0,"[1, 1]",True +9213259c-2814-4cbb-98a8-b4a21bfdf6ae,"['effusion', 'infiltration', 'mass']",00003426_011.png,1.2.276.0.7230010.3.1.2.8323329.2711.1517874298.57745,11,59,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +87457098-212e-4dd5-9719-676b0f389511,['no finding'],00014387_002.png,1.2.276.0.7230010.3.1.2.8323329.2721.1517874298.98218,2,36,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3fd6fcca-e35b-432b-8e7f-be83b110694c,['infiltration'],00018602_001.png,1.2.276.0.7230010.3.1.2.8323329.2752.1517874298.277612,1,47,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ea2f5da1-f25e-4f5b-9e3e-c2e49e93cbac,['nodule'],00005607_001.png,1.2.276.0.7230010.3.1.2.8323329.2714.1517874298.55799,1,53,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d0ebe778-257e-46e9-be12-0274a344a274,"['nodule', 'mass']",00018366_010.png,1.2.276.0.7230010.3.1.2.8323329.2724.1517874298.108086,10,65,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ee1ca2ec-76be-47f8-9658-c569af9f6dcb,"['effusion', 'infiltration']",00018253_066.png,1.2.276.0.7230010.3.1.2.8323329.2733.1517874298.151387,66,72,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6ac3ca72-632b-47e6-9cf9-de7e0468e859,"['atelectasis', 'consolidation', 'effusion']",00003867_014.png,1.2.276.0.7230010.3.1.2.8323329.2737.1517874298.172682,14,34,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +65f038e8-a727-472c-bb76-7a71cd4397f2,['cardiomegaly'],00006481_005.png,1.2.276.0.7230010.3.1.2.8323329.2747.1517874298.233455,5,49,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +3cdc0d7b-b323-4809-92db-49ed6a2903f1,['no finding'],00023312_000.png,1.2.276.0.7230010.3.1.2.8323329.2716.1517874298.58179,0,61,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +73212dc5-6535-4837-838b-f08aff61c1a3,"['effusion', 'infiltration']",00010007_088.png,1.2.276.0.7230010.3.1.2.8323329.2732.1517874298.146883,88,58,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +35669389-7137-41c8-9040-f6b4aaf7ec3f,['pneumonia'],00018926_001.png,1.2.276.0.7230010.3.1.2.8323329.2749.1517874298.236650,1,50,F,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +4b7e6809-b113-4019-9230-15745042554d,"['cardiomegaly', 'infiltration']",00006318_000.png,1.2.276.0.7230010.3.1.2.8323329.2779.1517874298.408512,0,67,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a3476eba-8536-4271-a7a9-b13dc3cc8a4d,"['edema', 'infiltration', 'mass']",00023190_002.png,1.2.276.0.7230010.3.1.2.8323329.2717.1517874298.72890,2,65,F,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +945a109f-4015-4844-a49a-500b72237ce2,['infiltration'],00018867_013.png,1.2.276.0.7230010.3.1.2.8323329.2722.1517874298.95272,13,33,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +e7f182ac-e84e-4e0a-89f9-be61ea3c66c2,"['effusion', 'pneumonia']",00006298_003.png,1.2.276.0.7230010.3.1.2.8323329.2734.1517874298.153224,3,50,M,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +bd922118-0adf-46a7-ad0d-ee10fbc7b5be,"['atelectasis', 'effusion', 'infiltration']",00009303_000.png,1.2.276.0.7230010.3.1.2.8323329.2720.1517874298.93424,0,59,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9a85c365-3daf-43a2-b607-248d093b5495,['no finding'],00023033_004.png,1.2.276.0.7230010.3.1.2.8323329.2727.1517874298.115258,4,63,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +0c391e0f-9927-48ce-801f-02eb000f72c3,"['edema', 'infiltration']",00010315_006.png,1.2.276.0.7230010.3.1.2.8323329.2748.1517874298.236614,6,46,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +a0f0454e-ad0f-41a6-bd13-56d74e7dcc63,['no finding'],00008005_007.png,1.2.276.0.7230010.3.1.2.8323329.2723.1517874298.117888,7,63,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +943b27f1-ba1c-415b-b738-7b52aefa445b,['infiltration'],00016143_003.png,1.2.276.0.7230010.3.1.2.8323329.2745.1517874298.224575,3,56,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8a6a239d-428c-4e35-a479-44272702e98a,"['cardiomegaly', 'infiltration', 'pneumonia']",00027706_010.png,1.2.276.0.7230010.3.1.2.8323329.2755.1517874298.289441,10,35,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +30a54b96-7d6f-4557-8725-416684f8d543,['mass'],00012184_006.png,1.2.276.0.7230010.3.1.2.8323329.2762.1517874298.315217,6,56,F,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +657e2cb9-e776-4aad-80a4-f3826adb26eb,"['atelectasis', 'cardiomegaly', 'consolidation', 'effusion', 'infiltration']",00018187_020.png,1.2.276.0.7230010.3.1.2.8323329.2726.1517874298.118481,20,32,F,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +a13bf9b7-ea61-4bff-96dc-e6c716638461,['effusion'],00004110_002.png,1.2.276.0.7230010.3.1.2.8323329.2730.1517874298.144233,2,50,M,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +4c25cbad-6e6e-4490-b7ae-7c440a221b00,['nodule'],00019530_017.png,1.2.276.0.7230010.3.1.2.8323329.2764.1517874298.333719,17,40,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3239951b-6211-4290-b237-3d9ad17176db,['no finding'],00005403_030.png,1.2.276.0.7230010.3.1.2.8323329.2740.1517874298.197768,30,35,F,AP,True,Lung Opacity,3.0,3.0,3.0,4.0,"[3, 3, 3, 3]",False +7de1b046-2b14-4535-b602-dc46f91d39c2,['pneumonia'],00010586_000.png,1.2.276.0.7230010.3.1.2.8323329.2765.1517874298.332140,0,25,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e4c30da0-2edd-47ab-a932-f396796c308a,['infiltration'],00019124_121.png,1.2.276.0.7230010.3.1.2.8323329.2800.1517874298.502473,121,51,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e912a77a-18b3-4d94-8c70-9f15fc32b47b,['no finding'],00006659_000.png,1.2.276.0.7230010.3.1.2.8323329.2746.1517874298.237650,0,81,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +576f691f-ec9f-46a3-9f06-0b72c9702d8c,['infiltration'],00022184_002.png,1.2.276.0.7230010.3.1.2.8323329.2754.1517874298.279039,2,17,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +bf70e20e-09a8-484a-83a2-2cc2d9bd9a4b,['infiltration'],00028499_017.png,1.2.276.0.7230010.3.1.2.8323329.2759.1517874298.317063,17,22,F,PA,True,Lung Opacity,3.0,3.0,3.0,1.0,[3],False +ebc9f06f-c73b-4eff-9f07-beabd1331273,"['emphysema', 'infiltration', 'pneumothorax']",00027304_001.png,1.2.276.0.7230010.3.1.2.8323329.2766.1517874298.352665,1,59,M,PA,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False 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finding'],00016934_030.png,1.2.276.0.7230010.3.1.2.8323329.2758.1517874298.301647,30,56,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +04f9bcc7-8886-4e1a-a938-122d3a065e12,"['edema', 'effusion']",00012592_000.png,1.2.276.0.7230010.3.1.2.8323329.2772.1517874298.374802,0,63,M,PA,True,Lung Opacity,1.0,1.0,1.0,1.0,[1],True +b04aa688-367d-403c-a0c8-ad5ae456c10f,"['emphysema', 'pneumothorax']",00026392_005.png,1.2.276.0.7230010.3.1.2.8323329.2777.1517874298.402643,5,21,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d101a3ca-db2f-4914-83f0-a4d7f81af99e,['infiltration'],00006743_000.png,1.2.276.0.7230010.3.1.2.8323329.2760.1517874298.317935,0,34,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ed340654-2517-446c-afd8-54ec352c5eec,"['effusion', 'infiltration']",00015915_002.png,1.2.276.0.7230010.3.1.2.8323329.2770.1517874298.369521,2,65,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +901716f2-fb2b-4d72-b738-811cf337476c,['no 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +405fc22f-ea3f-481e-bb8e-b6b75ce9b916,['no finding'],00008312_002.png,1.2.276.0.7230010.3.1.2.8323329.3189.1517874300.590701,2,28,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +315275a1-3a50-42a6-9528-ba99a286be5b,['no finding'],00010907_000.png,1.2.276.0.7230010.3.1.2.8323329.3206.1517874300.774155,0,73,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +cd79b093-d3a2-49bd-8868-b463ff05f3e8,"['effusion', 'infiltration']",00012021_022.png,1.2.276.0.7230010.3.1.2.8323329.3223.1517874300.874804,22,25,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +d6b6027b-bf05-4ca7-a1d6-8b8bf40cf76e,['no finding'],00014201_003.png,1.2.276.0.7230010.3.1.2.8323329.3195.1517874300.622765,3,29,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7eabc23f-a585-40b1-b6e5-ba61407abb1f,['mass'],00006252_000.png,1.2.276.0.7230010.3.1.2.8323329.3209.1517874300.788496,0,56,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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2]",False +8c4c3e98-8341-4897-ab39-6d0c92045c45,['pleural_thickening'],00010563_027.png,1.2.276.0.7230010.3.1.2.8323329.3203.1517874300.689727,27,35,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +87106150-d046-41a9-ac79-f4ab113e1d22,['consolidation'],00019643_015.png,1.2.276.0.7230010.3.1.2.8323329.3220.1517874300.842023,15,31,F,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +bc00e781-40c5-43fc-8eab-ce02aa9cde99,['no finding'],00011254_000.png,1.2.276.0.7230010.3.1.2.8323329.3232.1517874300.922705,0,48,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9a9495a1-8e02-4cef-8783-e0463c1b0cea,"['atelectasis', 'cardiomegaly', 'effusion', 'infiltration']",00000211_010.png,1.2.276.0.7230010.3.1.2.8323329.3249.1517874301.20348,10,58,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d2699035-96c7-401b-9520-c1e242ec8d45,"['effusion', 'infiltration']",00019152_003.png,1.2.276.0.7230010.3.1.2.8323329.3259.1517874301.92325,3,41,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,1.0,1.0,1.0,2.0,"[1, 1]",True +5af36cff-6ade-46c5-aead-23713072fdf4,['infiltration'],00016786_019.png,1.2.276.0.7230010.3.1.2.8323329.3227.1517874300.885933,19,23,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d00ba7b7-0f47-4b7f-9803-d9835da7e4be,['pleural_thickening'],00023111_000.png,1.2.276.0.7230010.3.1.2.8323329.3230.1517874300.908189,0,30,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +072e7048-52f1-4b2b-be08-42e0ca1ba1ee,['infiltration'],00007157_034.png,1.2.276.0.7230010.3.1.2.8323329.3237.1517874300.965139,34,36,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +e89fc6c2-4a0b-4d88-b1b9-f60a7f17fba9,['infiltration'],00007304_000.png,1.2.276.0.7230010.3.1.2.8323329.3217.1517874300.828419,0,38,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f553ad13-ccec-4c78-919f-262555295471,['no finding'],00025447_003.png,1.2.276.0.7230010.3.1.2.8323329.3228.1517874300.891120,3,55,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +595bf343-9506-4548-9751-2d0fec3d6bb3,"['cardiomegaly', 'effusion']",00019858_001.png,1.2.276.0.7230010.3.1.2.8323329.3242.1517874300.989607,1,63,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +780579a3-2dcc-4343-9c92-de8be54e2865,['infiltration'],00007034_069.png,1.2.276.0.7230010.3.1.2.8323329.3224.1517874300.873615,69,30,F,AP,True,Lung Opacity,3.0,3.0,3.0,1.0,[3],False +25d3bbc4-580d-40d1-9b4f-b29bf9741b93,['atelectasis'],00004250_000.png,1.2.276.0.7230010.3.1.2.8323329.3264.1517874301.139026,0,58,F,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +8d88c232-31e0-4800-98b9-6d14a545096f,['emphysema'],00012761_006.png,1.2.276.0.7230010.3.1.2.8323329.3341.1517874301.573063,6,55,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +fafe3297-b07c-4955-ba8e-1657cf57ae8e,['no finding'],00014836_000.png,1.2.276.0.7230010.3.1.2.8323329.3222.1517874300.859597,0,83,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +37bf8743-ce24-4848-bf86-519659823bb3,['infiltration'],00003209_006.png,1.2.276.0.7230010.3.1.2.8323329.3231.1517874300.919306,6,41,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +2e12816f-48d5-4a6c-a8ac-c3c2ae7ba059,['no finding'],00025526_001.png,1.2.276.0.7230010.3.1.2.8323329.3234.1517874300.942999,1,49,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +2af2b9f2-500a-429f-a7cf-7b47ee4f3220,['pneumothorax'],00008465_004.png,1.2.276.0.7230010.3.1.2.8323329.3245.1517874301.15475,4,28,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +868aa791-fca9-4915-b8e2-c38460d90426,['infiltration'],00026982_002.png,1.2.276.0.7230010.3.1.2.8323329.3233.1517874300.936414,2,52,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a45543f9-5efd-48d0-a74d-b07738c8c866,['no finding'],00004324_000.png,1.2.276.0.7230010.3.1.2.8323329.3240.1517874300.980266,0,39,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Opacity,2.0,2.0,2.0,1.0,[2],False +7cf4a9ef-0192-432d-bcf4-b4f8ebb3704a,"['cardiomegaly', 'effusion']",00028357_016.png,1.2.276.0.7230010.3.1.2.8323329.3449.1517874302.101740,16,52,M,AP,True,Lung Opacity,3.0,3.0,3.0,3.0,"[3, 3, 3]",False +4572eb1c-0810-48c5-aa40-3c3b7b15bc4f,['no finding'],00014528_005.png,1.2.276.0.7230010.3.1.2.8323329.3466.1517874302.171964,5,61,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +63d7f897-ea58-4883-b88a-6a98e92f8a73,['no finding'],00028512_002.png,1.2.276.0.7230010.3.1.2.8323329.3433.1517874301.997983,2,45,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8c62b364-84be-4c83-9c3a-43df335a1978,['no finding'],00003511_000.png,1.2.276.0.7230010.3.1.2.8323329.3446.1517874302.72004,0,45,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c501faf0-40e2-4d9e-b102-cb547335090a,"['consolidation', 'nodule']",00018927_000.png,1.2.276.0.7230010.3.1.2.8323329.3454.1517874302.123894,0,65,F,AP,False,No Lung Opacity / Not 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c3e2a1e6-f5b2-4bf5-956f-b37dd052c1d4,"['atelectasis', 'infiltration']",00008295_014.png,1.2.276.0.7230010.3.1.2.8323329.3831.1517874304.438526,14,66,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e6295ee0-bb33-49e3-9376-8b78f5a3fc52,"['atelectasis', 'pneumothorax']",00002239_006.png,1.2.276.0.7230010.3.1.2.8323329.3849.1517874304.546395,6,44,M,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +cf0f0af7-4917-45b0-91bd-aa7d9bdd68b4,['infiltration'],00013531_026.png,1.2.276.0.7230010.3.1.2.8323329.3822.1517874304.363759,26,52,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +debd00ec-7e9c-4790-92f5-22118bd54a6d,['no finding'],00020467_000.png,1.2.276.0.7230010.3.1.2.8323329.3824.1517874304.393271,0,67,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +52545bb8-f155-4e70-bf4a-83bd963db22a,['no finding'],00010454_001.png,1.2.276.0.7230010.3.1.2.8323329.3844.1517874304.505211,1,43,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +4a5fcab5-97ee-4564-84e5-298732754466,['infiltration'],00020450_015.png,1.2.276.0.7230010.3.1.2.8323329.3857.1517874304.565379,15,59,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +688a3275-9225-4e2e-b719-0c754d6b222b,"['infiltration', 'pneumonia']",00027726_053.png,1.2.276.0.7230010.3.1.2.8323329.3826.1517874304.444035,53,58,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +45cfd6b0-6dda-4193-8035-1cfc7826dcc7,['atelectasis'],00016490_019.png,1.2.276.0.7230010.3.1.2.8323329.3838.1517874304.489386,19,51,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a66f3632-fdaa-4d33-8586-60c701c0f859,['no finding'],00016142_017.png,1.2.276.0.7230010.3.1.2.8323329.3856.1517874304.564713,17,15,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +597b4e4c-88b0-407b-84c9-f752cd23d447,"['mass', 'pneumothorax']",00012973_019.png,1.2.276.0.7230010.3.1.2.8323329.3888.1517874304.763747,19,58,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7d466157-3f63-4b48-8339-6fc223cb6393,"['edema', 'effusion', 'infiltration']",00016896_005.png,1.2.276.0.7230010.3.1.2.8323329.3828.1517874304.466926,5,43,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +349f10b4-dc3e-4f3f-b2e4-a5b81448ce87,"['atelectasis', 'infiltration']",00018175_028.png,1.2.276.0.7230010.3.1.2.8323329.3842.1517874304.524175,28,56,M,AP,True,Lung Opacity,2.0,2.0,2.0,4.0,"[2, 2, 2, 2]",False +2cb272c0-90db-4e36-8a78-ed072efcdaa2,['no finding'],00010216_007.png,1.2.276.0.7230010.3.1.2.8323329.3853.1517874304.559485,7,39,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +99c01973-3615-43d6-85d6-4c1e8267222f,['consolidation'],00016175_000.png,1.2.276.0.7230010.3.1.2.8323329.3875.1517874304.683635,0,14,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +eb4341b8-e51f-439c-a766-d77132bbf8fd,"['effusion', 'mass']",00029196_004.png,1.2.276.0.7230010.3.1.2.8323329.3848.1517874304.536646,4,49,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c567f729-5fe5-49d5-8d6b-db785786032e,['infiltration'],00018254_014.png,1.2.276.0.7230010.3.1.2.8323329.3869.1517874304.647451,14,29,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +edf9ef50-a66f-47b4-b05c-4e322000a587,['atelectasis'],00005773_009.png,1.2.276.0.7230010.3.1.2.8323329.3874.1517874304.673886,9,37,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +bf179444-ea01-417d-b78c-cf9aa42f5e5e,"['atelectasis', 'infiltration']",00002940_000.png,1.2.276.0.7230010.3.1.2.8323329.3850.1517874304.545368,0,62,F,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +d30fd0bf-e680-4647-a878-45bab65c8030,"['fibrosis', 'infiltration']",00022519_003.png,1.2.276.0.7230010.3.1.2.8323329.3859.1517874304.568833,3,66,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6dd1e370-878f-4558-a5eb-6c248a5851cf,['cardiomegaly'],00012332_000.png,1.2.276.0.7230010.3.1.2.8323329.3871.1517874304.657746,0,42,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +63c05c61-011b-4d7d-b192-c1a322d753d9,['atelectasis'],00021610_000.png,1.2.276.0.7230010.3.1.2.8323329.3883.1517874304.733702,0,46,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +4245f9a9-94fd-4cc5-8df3-0f0c3f9d33d2,['pneumothorax'],00007670_014.png,1.2.276.0.7230010.3.1.2.8323329.3851.1517874304.559593,14,45,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +4bb37834-4160-4364-9d9f-89bb87728917,"['effusion', 'infiltration', 'atelectasis']",00021703_001.png,1.2.276.0.7230010.3.1.2.8323329.3863.1517874304.592154,1,25,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7ecdcd80-bcaf-494b-8da5-5a9ae5540483,"['effusion', 'infiltration']",00020213_001.png,1.2.276.0.7230010.3.1.2.8323329.3872.1517874304.654955,1,72,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +614af470-e19d-4013-baa2-eae7e2b0198a,['fibrosis'],00003098_012.png,1.2.276.0.7230010.3.1.2.8323329.3877.1517874304.701880,12,37,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +0e6c2821-9ab8-46a0-8128-d8fe66b39375,['infiltration'],00025238_010.png,1.2.276.0.7230010.3.1.2.8323329.3910.1517874304.910044,10,29,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +44f25bee-b705-4e42-a599-abb8a9ec9221,"['atelectasis', 'cardiomegaly', 'effusion', 'fibrosis', 'nodule']",00005741_002.png,1.2.276.0.7230010.3.1.2.8323329.3867.1517874304.610664,2,64,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b54c5581-bb40-4c19-9d5a-3be944ef8132,"['atelectasis', 'infiltration']",00014073_005.png,1.2.276.0.7230010.3.1.2.8323329.3907.1517874304.894739,5,64,M,AP,True,Lung Opacity,1.5,1.0,2.0,2.0,"[2, 1]",False +a7a08920-e6ca-4638-a59b-ac10d5e58c8c,['infiltration'],00002300_016.png,1.2.276.0.7230010.3.1.2.8323329.3912.1517874304.939188,16,81,F,AP,True,Lung Opacity,1.5,1.0,2.0,2.0,"[2, 1]",False +62eee26a-f0ea-4203-9546-7d0ec867af4a,"['consolidation', 'mass']",00014581_004.png,1.2.276.0.7230010.3.1.2.8323329.3868.1517874304.630145,4,36,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d3cf99c7-e7d7-456e-9e34-0312876db0d4,['cardiomegaly'],00004342_055.png,1.2.276.0.7230010.3.1.2.8323329.3870.1517874304.652692,55,48,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +d0d8cd7e-2abe-4f56-a9d9-938262605fee,['edema'],00007018_053.png,1.2.276.0.7230010.3.1.2.8323329.3911.1517874304.905030,53,28,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False 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finding'],00008025_001.png,1.2.276.0.7230010.3.1.2.8323329.3919.1517874304.961316,1,29,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +0cbadade-7aae-495f-bb51-42b8ebd1b7cb,['nodule'],00020126_000.png,1.2.276.0.7230010.3.1.2.8323329.3927.1517874304.986999,0,72,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d074448d-4102-4c59-b9eb-2118c9d69896,"['effusion', 'infiltration']",00021201_080.png,1.2.276.0.7230010.3.1.2.8323329.3885.1517874304.740140,80,66,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +4d0f1262-a10d-464f-adf7-2ae40dc3b092,['effusion'],00006836_005.png,1.2.276.0.7230010.3.1.2.8323329.3890.1517874304.773051,5,75,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +ebce65d3-3bec-4188-b1bf-a4f5a9bcf61c,"['effusion', 'infiltration', 'pneumonia']",00026963_005.png,1.2.276.0.7230010.3.1.2.8323329.3895.1517874304.810130,5,41,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True 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finding'],00017580_000.png,1.2.276.0.7230010.3.1.2.8323329.3908.1517874304.899306,0,72,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5ed00eda-2913-4345-9ef8-6c74d6b2f8d2,['no finding'],00009240_000.png,1.2.276.0.7230010.3.1.2.8323329.3918.1517874304.968173,0,40,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f5dadf63-c828-441a-b595-ea7698087291,"['infiltration', 'nodule']",00022139_003.png,1.2.276.0.7230010.3.1.2.8323329.3929.1517874305.20619,3,42,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +bebc91e5-e9df-44c0-ad4f-305cddf7d98c,['infiltration'],00018834_000.png,1.2.276.0.7230010.3.1.2.8323329.3914.1517874304.944955,0,23,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +70764772-7dbc-4ab1-a5ed-08108fa547d8,"['cardiomegaly', 'edema', 'infiltration']",00021481_003.png,1.2.276.0.7230010.3.1.2.8323329.3934.1517874305.18506,3,63,M,AP,True,Lung Opacity,1.5,1.0,2.0,2.0,"[2, 1]",False 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finding'],00001210_000.png,1.2.276.0.7230010.3.1.2.8323329.3981.1517874305.247284,0,65,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6b55c834-97d8-4d7f-b371-e8f71d4ad0f0,['infiltration'],00020060_003.png,1.2.276.0.7230010.3.1.2.8323329.3932.1517874305.16793,3,57,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +58d2ffd9-f5a7-4215-9ca8-3b41536a989a,['pleural_thickening'],00012834_131.png,1.2.276.0.7230010.3.1.2.8323329.3937.1517874305.41161,131,33,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +bc2a8121-cccd-47d8-8289-2dbfacf6b94f,"['cardiomegaly', 'effusion']",00026825_006.png,1.2.276.0.7230010.3.1.2.8323329.3961.1517874305.163914,6,34,F,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +d5750138-776e-47e3-80c9-a413c2ea72cc,"['infiltration', 'pleural_thickening']",00014452_006.png,1.2.276.0.7230010.3.1.2.8323329.3970.1517874305.202091,6,66,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +bb54e10c-1397-4913-ab11-7a8484e6b959,"['effusion', 'infiltration']",00016525_008.png,1.2.276.0.7230010.3.1.2.8323329.3936.1517874305.29659,8,72,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +47c78742-4998-4878-aec4-37b11b1354ac,['no finding'],00027727_000.png,1.2.276.0.7230010.3.1.2.8323329.3941.1517874305.53914,0,51,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +42f5e5df-738c-429c-a811-93f2486dad67,['infiltration'],00011702_045.png,1.2.276.0.7230010.3.1.2.8323329.3962.1517874305.163108,45,26,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +d2b23fd5-ad90-4768-95d5-7463fc4bac84,"['atelectasis', 'effusion', 'infiltration']",00008911_023.png,1.2.276.0.7230010.3.1.2.8323329.3968.1517874305.188899,23,63,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +07e257da-ae36-45f1-baa4-5f7ad4e5d86b,"['effusion', 'mass']",00013608_000.png,1.2.276.0.7230010.3.1.2.8323329.3940.1517874305.41258,0,16,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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'infiltration']",00021209_004.png,1.2.276.0.7230010.3.1.2.8323329.4411.1517874307.627275,4,49,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +02475a31-ed48-4ff3-b401-5d74694bff8d,['infiltration'],00010698_023.png,1.2.276.0.7230010.3.1.2.8323329.4416.1517874307.649009,23,74,F,AP,True,Lung Opacity,1.0,1.0,1.0,2.0,"[1, 1]",True +52026cfa-1c22-406d-87fa-15fab5fdd35f,['no finding'],00006622_000.png,1.2.276.0.7230010.3.1.2.8323329.4384.1517874307.491946,0,57,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6e298e09-6e9d-44cc-a696-7ea7a15f626c,"['atelectasis', 'consolidation', 'effusion']",00013917_059.png,1.2.276.0.7230010.3.1.2.8323329.4394.1517874307.531498,59,56,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c3768927-0d7e-4624-bf5a-3eea2011a5c1,"['effusion', 'infiltration']",00022566_021.png,1.2.276.0.7230010.3.1.2.8323329.4397.1517874307.552412,21,90,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False 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finding'],00012834_009.png,1.2.276.0.7230010.3.1.2.8323329.5056.1517874311.150502,9,33,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +d72dedce-c6e6-4d67-8507-9e2bf16dd853,['pleural_thickening'],00009720_001.png,1.2.276.0.7230010.3.1.2.8323329.5059.1517874311.174058,1,41,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ac10f43e-03b8-43d2-bcae-6fe000542397,['infiltration'],00013648_009.png,1.2.276.0.7230010.3.1.2.8323329.5064.1517874311.208939,9,33,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +cc1cefc7-0cb1-4ff1-af66-2bd8e8dd5d57,"['infiltration', 'pneumonia']",00013111_094.png,1.2.276.0.7230010.3.1.2.8323329.5068.1517874311.230450,94,23,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +7ba10ccd-c6a4-4a4e-a709-9cf7d6f7784a,['infiltration'],00012874_016.png,1.2.276.0.7230010.3.1.2.8323329.5057.1517874311.160548,16,62,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8f299798-432f-42dd-80a3-5c8313192d4e,['no finding'],00016341_001.png,1.2.276.0.7230010.3.1.2.8323329.5088.1517874311.331090,1,47,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d9a6fe09-9ee9-4d64-bc42-cd903276f513,"['atelectasis', 'infiltration']",00006282_006.png,1.2.276.0.7230010.3.1.2.8323329.5106.1517874311.405860,6,57,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +c4cfb23b-8b33-46d2-8fbc-8cd460a3a89f,['infiltration'],00010698_026.png,1.2.276.0.7230010.3.1.2.8323329.5111.1517874311.426507,26,74,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8390a996-c93b-4f57-84eb-89e21f580147,"['effusion', 'infiltration']",00010142_004.png,1.2.276.0.7230010.3.1.2.8323329.5065.1517874311.221015,4,80,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +eb70f417-b7ff-4e67-a8f8-c9d2a287b6cd,"['consolidation', 'effusion', 'emphysema', 'mass']",00012376_005.png,1.2.276.0.7230010.3.1.2.8323329.5074.1517874311.270208,5,55,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5c18e5ea-2649-46f8-aecf-e1264f0a1a2a,['edema'],00004646_007.png,1.2.276.0.7230010.3.1.2.8323329.5072.1517874311.251215,7,43,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +54dc66ab-7407-4e73-acac-2f51e13b4899,['no finding'],00018821_003.png,1.2.276.0.7230010.3.1.2.8323329.5078.1517874311.278481,3,18,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f3a8dd37-68a7-439e-8511-92f264205a75,['infiltration'],00023012_000.png,1.2.276.0.7230010.3.1.2.8323329.5089.1517874311.327460,0,49,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ed78b789-be2a-47a8-be70-96e20e38170c,['no finding'],00006518_001.png,1.2.276.0.7230010.3.1.2.8323329.5096.1517874311.350205,1,69,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e6c2f6e9-4ff4-4a58-b225-d6e01cd1c19c,['nodule'],00003029_002.png,1.2.276.0.7230010.3.1.2.8323329.5073.1517874311.257263,2,48,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,1.0,1.0,1.0,1.0,[1],True +bf3d9218-58b3-4a3b-b68f-54b16f3570d7,"['atelectasis', 'effusion', 'infiltration']",00020852_015.png,1.2.276.0.7230010.3.1.2.8323329.5098.1517874311.365236,15,75,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +60778bb1-d073-49dd-a8c8-cfc589512ecf,['infiltration'],00016900_002.png,1.2.276.0.7230010.3.1.2.8323329.5079.1517874311.283894,2,39,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b7ff0de1-7dee-4c1d-be5f-868a24999982,"['consolidation', 'effusion', 'infiltration', 'mass', 'nodule']",00020326_004.png,1.2.276.0.7230010.3.1.2.8323329.5087.1517874311.328689,4,26,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +69df60a0-cb3d-4da5-9a3b-9d8c36e2c113,['no finding'],00027146_000.png,1.2.276.0.7230010.3.1.2.8323329.5097.1517874311.363635,0,40,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +664cb381-ccdf-4c19-8a86-a664d402221c,"['effusion', 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Normal,1.0,1.0,1.0,1.0,[1],True +da3c994b-6f23-4408-ae04-7c9b8be9dd8b,['infiltration'],00007632_004.png,1.2.276.0.7230010.3.1.2.8323329.5120.1517874311.470399,4,53,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +0b4f8335-8b99-468e-8556-4190522e8f3b,['effusion'],00002764_000.png,1.2.276.0.7230010.3.1.2.8323329.5132.1517874311.523975,0,30,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3b7062c5-6436-4190-8b82-a605faf55614,['infiltration'],00020058_000.png,1.2.276.0.7230010.3.1.2.8323329.5117.1517874311.465260,0,60,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7042cff6-19c1-4a6f-8c59-066c268cb8ff,['atelectasis'],00011508_000.png,1.2.276.0.7230010.3.1.2.8323329.5128.1517874311.510203,0,43,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +feaf9f54-74da-400e-85aa-35db240cf11c,['infiltration'],00017603_010.png,1.2.276.0.7230010.3.1.2.8323329.5168.1517874311.721309,10,22,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e4f3a1d1-79ad-44c7-8176-e95aea32b5a6,['mass'],00000103_000.png,1.2.276.0.7230010.3.1.2.8323329.5155.1517874311.624831,0,60,M,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +6a87f637-edc6-4ba4-99a3-65ad4de67f71,['infiltration'],00020282_005.png,1.2.276.0.7230010.3.1.2.8323329.5237.1517874312.153756,5,46,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6963c8f0-9871-49fe-b0a8-8afc8be5a035,"['infiltration', 'pleural_thickening']",00004735_007.png,1.2.276.0.7230010.3.1.2.8323329.5139.1517874311.562757,7,63,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +dd7017f1-8ff4-4854-9471-9e885a1b7627,['pleural_thickening'],00027184_000.png,1.2.276.0.7230010.3.1.2.8323329.5144.1517874311.584188,0,68,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +0c861344-c755-4072-ab28-1d29be4949f5,['no finding'],00018030_000.png,1.2.276.0.7230010.3.1.2.8323329.5151.1517874311.610389,0,58,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ea67ae91-48f8-4efb-acba-06791d595136,['no finding'],00023368_000.png,1.2.276.0.7230010.3.1.2.8323329.5162.1517874311.686697,0,33,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c431cd30-f0cd-4515-b0dc-70e0acf2c8a7,['infiltration'],00016559_000.png,1.2.276.0.7230010.3.1.2.8323329.5140.1517874311.565426,0,42,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +0dbb83c1-2214-4152-ac69-d1e7e25453cb,['no finding'],00008472_000.png,1.2.276.0.7230010.3.1.2.8323329.5145.1517874311.593035,0,50,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7f12966e-c382-4f9e-90ac-e1575dcdc812,['no finding'],00005775_000.png,1.2.276.0.7230010.3.1.2.8323329.5152.1517874311.614675,0,15,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +aade8b9f-ad2c-49f7-9fc2-7acb65b63b1d,['mass'],00010583_005.png,1.2.276.0.7230010.3.1.2.8323329.5193.1517874311.883346,5,56,M,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,2.0,"[1, 1]",True +4b3f468f-6979-45f3-9291-fcfd30fe227a,['atelectasis'],00012734_000.png,1.2.276.0.7230010.3.1.2.8323329.5149.1517874311.617831,0,60,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3ea67d3a-90be-4e77-a745-a9e323189097,"['atelectasis', 'effusion']",00017151_003.png,1.2.276.0.7230010.3.1.2.8323329.5161.1517874311.675489,3,31,M,PA,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +69013279-6abe-4b57-aad1-fdad60abcf8b,['no finding'],00015733_000.png,1.2.276.0.7230010.3.1.2.8323329.5173.1517874311.747885,0,33,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +762e8a2c-c60b-4af1-aa92-0b1ba0873699,['no finding'],00002969_000.png,1.2.276.0.7230010.3.1.2.8323329.5185.1517874311.821578,0,46,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3f6548a2-d1b7-4389-b306-b080c9fdb216,['pneumothorax'],00025954_008.png,1.2.276.0.7230010.3.1.2.8323329.5150.1517874311.617986,8,57,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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'infiltration']",00010352_021.png,1.2.276.0.7230010.3.1.2.8323329.5164.1517874311.686486,21,31,M,PA,True,Lung Opacity,3.0,3.0,3.0,2.0,"[3, 3]",False +4a61e100-d111-4ab3-ac10-29a2c8d035c0,"['effusion', 'mass']",00022837_035.png,1.2.276.0.7230010.3.1.2.8323329.5170.1517874311.719687,35,66,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +4a9f80ea-ca61-4763-afe9-76b7e0dd7560,"['edema', 'infiltration']",00006851_015.png,1.2.276.0.7230010.3.1.2.8323329.5187.1517874311.842307,15,42,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +70d825f3-73fc-4915-8063-267e90df5c0d,"['effusion', 'infiltration', 'pneumothorax']",00010007_054.png,1.2.276.0.7230010.3.1.2.8323329.5191.1517874311.873124,54,58,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b9689b98-97cd-4ffb-8c25-4d3b686f62f1,"['atelectasis', 'infiltration']",00007780_005.png,1.2.276.0.7230010.3.1.2.8323329.5174.1517874311.741195,5,63,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +4f81a1d0-73de-4203-aa75-b324441e9fca,['infiltration'],00029155_002.png,1.2.276.0.7230010.3.1.2.8323329.5177.1517874311.762068,2,46,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7eeee94a-0afc-41eb-b1bc-4551e4815c59,['pleural_thickening'],00026194_018.png,1.2.276.0.7230010.3.1.2.8323329.5181.1517874311.787590,18,11,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +48e40959-3a69-439d-a7d8-d3c037d6e151,['atelectasis'],00015267_000.png,1.2.276.0.7230010.3.1.2.8323329.5186.1517874311.824535,0,30,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6dbed23a-5942-4f7f-b2d0-71621f8fcfd8,"['effusion', 'infiltration']",00014112_001.png,1.2.276.0.7230010.3.1.2.8323329.5175.1517874311.744024,1,39,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6d567876-497d-4d69-b558-bbc31d9bf5a4,['no finding'],00003902_001.png,1.2.276.0.7230010.3.1.2.8323329.5178.1517874311.764348,1,58,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +98f8a431-df80-4f68-8254-273debc3db16,['pneumonia'],00013641_048.png,1.2.276.0.7230010.3.1.2.8323329.5188.1517874311.849394,48,39,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9484ddd1-8b0f-4c34-bbde-0f38a0ee0a1b,"['atelectasis', 'consolidation']",00029207_004.png,1.2.276.0.7230010.3.1.2.8323329.5192.1517874311.888184,4,23,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6952e77a-cc3a-4074-9cfc-4d0f54bffa38,"['effusion', 'mass', 'nodule', 'pleural_thickening']",00015985_000.png,1.2.276.0.7230010.3.1.2.8323329.5205.1517874311.964723,0,71,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3d384875-3304-44de-8b8b-40a131a722ce,"['edema', 'effusion', 'infiltration']",00009822_000.png,1.2.276.0.7230010.3.1.2.8323329.5190.1517874311.878113,0,29,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +d84420c3-ad2e-4308-8686-22cf5035c65a,['no finding'],00027044_000.png,1.2.276.0.7230010.3.1.2.8323329.5199.1517874311.905757,0,20,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +658a2896-6f1b-41b8-bf00-c737fec7c969,['infiltration'],00021547_004.png,1.2.276.0.7230010.3.1.2.8323329.5202.1517874311.940443,4,51,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e1bb57c4-4177-4ede-a723-98a0bb60f481,['infiltration'],00022572_040.png,1.2.276.0.7230010.3.1.2.8323329.5207.1517874311.979368,40,49,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +2db71952-47f3-455b-aed2-675ec9113cf3,['no finding'],00018014_000.png,1.2.276.0.7230010.3.1.2.8323329.5195.1517874311.889972,0,52,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c64cbbbd-ff0e-41f6-9fa5-96113e4ef60a,['infiltration'],00018126_027.png,1.2.276.0.7230010.3.1.2.8323329.5204.1517874311.951901,27,31,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +908a9eb7-dc6d-4113-ba9a-28a50140563f,"['infiltration', 'nodule']",00000831_011.png,1.2.276.0.7230010.3.1.2.8323329.5210.1517874311.978436,11,25,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +569e6728-9748-4db4-be57-9e5278c3cc71,['infiltration'],00003468_013.png,1.2.276.0.7230010.3.1.2.8323329.5233.1517874312.147284,13,44,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +50292299-72e4-4729-bf27-e480aa6fa2e2,['atelectasis'],00017023_004.png,1.2.276.0.7230010.3.1.2.8323329.5196.1517874311.914867,4,52,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +449c2ba1-7948-4039-8b60-2511194b7426,['infiltration'],00027687_000.png,1.2.276.0.7230010.3.1.2.8323329.5206.1517874311.976956,0,42,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +613217ca-45ba-437c-97ad-0d30025ded6c,['no finding'],00016919_001.png,1.2.276.0.7230010.3.1.2.8323329.5213.1517874311.1660,1,40,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7bba6625-cd35-4ed6-8f73-180f13fb516d,"['infiltration', 'pneumothorax']",00008841_039.png,1.2.276.0.7230010.3.1.2.8323329.5221.1517874312.36282,39,50,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +53bcc519-836d-4975-9977-58f41a7725c7,['no finding'],00021818_002.png,1.2.276.0.7230010.3.1.2.8323329.5198.1517874311.896378,2,38,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f2e4c367-947c-48ad-be63-2a1879f7b280,"['atelectasis', 'emphysema']",00012161_005.png,1.2.276.0.7230010.3.1.2.8323329.5208.1517874311.974907,5,57,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +098e14d4-3205-4c2d-a059-738f830c0aa5,['no finding'],00007679_013.png,1.2.276.0.7230010.3.1.2.8323329.5212.1517874311.998273,13,61,F,PA,True,Lung Opacity,2.0,2.0,2.0,3.0,"[2, 2, 2]",False +f7ee1e68-4179-4703-a902-b35b8e2ccae7,['no finding'],00028959_000.png,1.2.276.0.7230010.3.1.2.8323329.5239.1517874312.173956,0,66,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +10d218a5-f22c-446b-b18f-55772c9f12c7,['no 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finding'],00001836_024.png,1.2.276.0.7230010.3.1.2.8323329.5356.1517874315.816753,24,49,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +d91ae721-fc89-4a3d-b7f7-a9581d0abb33,"['atelectasis', 'infiltration', 'pneumothorax']",00013209_011.png,1.2.276.0.7230010.3.1.2.8323329.5367.1517874315.893160,11,74,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +0e0cfa1a-c097-47bb-bf4b-6b9362940705,['infiltration'],00010805_040.png,1.2.276.0.7230010.3.1.2.8323329.5377.1517874315.924781,40,8,F,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +9dbf44b6-f212-4b9b-8ec9-22717d5a77ba,['effusion'],00020702_004.png,1.2.276.0.7230010.3.1.2.8323329.5383.1517874315.949381,4,63,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8d76ff2c-da0c-49dd-95cd-21d753f0495d,"['cardiomegaly', 'infiltration']",00004232_003.png,1.2.276.0.7230010.3.1.2.8323329.5363.1517874315.852747,3,54,M,AP,True,Lung Opacity,3.0,3.0,3.0,2.0,"[3, 3]",False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +41514a7f-f3ce-473e-a15d-cfd41b475aaf,['infiltration'],00029433_001.png,1.2.276.0.7230010.3.1.2.8323329.5394.1517874316.11452,1,58,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +aed5aa2a-184b-4630-9b23-e640bb021e3d,['no finding'],00008855_003.png,1.2.276.0.7230010.3.1.2.8323329.5389.1517874315.977355,3,20,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8914e26a-095b-46a6-b4eb-858e6f75f5e6,['no finding'],00022484_001.png,1.2.276.0.7230010.3.1.2.8323329.5390.1517874315.991711,1,41,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +72cdac79-3367-4312-8b8f-2da4938b2153,['infiltration'],00000181_032.png,1.2.276.0.7230010.3.1.2.8323329.5391.1517874315.995108,32,50,F,AP,True,Lung Opacity,3.0,3.0,3.0,2.0,"[3, 3]",False +19d2c68d-abe7-4575-9ee5-d84b9ff656be,['infiltration'],00019820_000.png,1.2.276.0.7230010.3.1.2.8323329.5395.1517874316.15120,0,24,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +3f30b3ca-a94b-4305-bd38-1895aaa07427,['no finding'],00007735_014.png,1.2.276.0.7230010.3.1.2.8323329.5399.1517874316.56153,14,31,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +aec849c0-4ef4-4d4e-9d09-573f1ce4cbd1,['no finding'],00027065_007.png,1.2.276.0.7230010.3.1.2.8323329.5409.1517874316.137875,7,58,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +64690a20-0381-40f3-a6ef-3491aacf35a6,['infiltration'],00005403_019.png,1.2.276.0.7230010.3.1.2.8323329.5402.1517874316.74042,19,35,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a1a1aeb3-9c6b-4118-8ecd-0eab3a25dcbe,"['effusion', 'infiltration']",00000608_002.png,1.2.276.0.7230010.3.1.2.8323329.5410.1517874316.133305,2,79,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d1df51ed-53b9-4ec6-b798-6c4e1a31bc6d,['no finding'],00012333_001.png,1.2.276.0.7230010.3.1.2.8323329.5403.1517874316.91859,1,52,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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'infiltration']",00009735_002.png,1.2.276.0.7230010.3.1.2.8323329.5430.1517874316.319731,2,27,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,2.0,"[1, 1]",True +4550d3be-f153-4c56-9b81-8407f922785a,['nodule'],00005935_003.png,1.2.276.0.7230010.3.1.2.8323329.5428.1517874316.277425,3,53,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +da86a734-bc66-46f4-8df9-68d53f46aa6f,['atelectasis'],00009138_017.png,1.2.276.0.7230010.3.1.2.8323329.5466.1517874316.517036,17,68,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +cfc9a7a6-01d7-4603-9d64-c314b09ad2b0,"['pneumonia', 'pneumothorax']",00013052_011.png,1.2.276.0.7230010.3.1.2.8323329.5429.1517874316.290938,11,41,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +39a5e461-791e-45f0-a4a9-2f4d06c8eca8,"['cardiomegaly', 'edema', 'effusion']",00000032_007.png,1.2.276.0.7230010.3.1.2.8323329.5433.1517874316.320669,7,55,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False 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Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +dc1813b1-0576-4560-95ab-fd4a2b509823,['no finding'],00011144_027.png,1.2.276.0.7230010.3.1.2.8323329.5956.1517874319.232906,27,67,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +94423ad5-4cce-44fb-bbd4-7328a9c6d23c,['infiltration'],00028939_017.png,1.2.276.0.7230010.3.1.2.8323329.5974.1517874319.345388,17,30,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +30bf351b-3713-42db-95cb-b668b439d46a,['effusion'],00030634_000.png,1.2.276.0.7230010.3.1.2.8323329.5977.1517874319.368923,0,60,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a6ea9b02-4ee8-4c0b-9ad8-d41d4f264df8,['no finding'],00016486_008.png,1.2.276.0.7230010.3.1.2.8323329.5958.1517874319.242022,8,34,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +4fde6f7a-bb1e-44bc-8f58-6a856e41002c,"['atelectasis', 'effusion', 'infiltration', 'nodule', 'pneumothorax']",00023162_024.png,1.2.276.0.7230010.3.1.2.8323329.5966.1517874319.298513,24,13,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +065b3a2f-1af3-4ebd-a740-9e49f9c685db,['atelectasis'],00022416_072.png,1.2.276.0.7230010.3.1.2.8323329.5970.1517874319.321564,72,52,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3fd5687e-bc16-4802-a44e-163f667882e4,"['infiltration', 'pleural_thickening']",00015285_000.png,1.2.276.0.7230010.3.1.2.8323329.5981.1517874319.418036,0,36,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3f21e402-4cf3-451e-bb19-f28bfbd1796a,"['consolidation', 'mass']",00016971_020.png,1.2.276.0.7230010.3.1.2.8323329.5962.1517874319.279568,20,65,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +d9794391-c932-401c-a91c-e7c23d2d9ed9,['pleural_thickening'],00022141_032.png,1.2.276.0.7230010.3.1.2.8323329.5971.1517874319.326101,32,32,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Opacity,3.0,3.0,3.0,2.0,"[3, 3]",False +0422a993-6daa-43b9-aa54-80104541f539,['no finding'],00027002_001.png,1.2.276.0.7230010.3.1.2.8323329.5985.1517874319.443012,1,61,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +88f8acdf-7667-46ac-a1e0-b03194181463,['infiltration'],00028243_000.png,1.2.276.0.7230010.3.1.2.8323329.6012.1517874319.610200,0,63,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +fbbfc48b-6ce9-49aa-bc3f-94a56f378b81,['infiltration'],00013111_098.png,1.2.276.0.7230010.3.1.2.8323329.6019.1517874319.635400,98,23,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e1150678-9a4f-41ff-b46e-a0bc5eb07f39,['atelectasis'],00002210_002.png,1.2.276.0.7230010.3.1.2.8323329.5983.1517874319.425835,2,57,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d273db28-8ed7-491b-8b32-84fbccffdde1,"['infiltration', 'pneumonia']",00009925_038.png,1.2.276.0.7230010.3.1.2.8323329.5993.1517874319.499189,38,56,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Opacity,2.0,2.0,2.0,1.0,[2],False +59f5be9c-ac10-4e11-ba2e-2405568b3af4,['atelectasis'],00020810_003.png,1.2.276.0.7230010.3.1.2.8323329.5987.1517874319.441771,3,66,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +461315f1-e601-45cd-8350-7952ff4833ef,['atelectasis'],00006237_009.png,1.2.276.0.7230010.3.1.2.8323329.5989.1517874319.466185,9,57,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b680c111-22a5-4ad1-94b7-34e866815e79,['no finding'],00010872_004.png,1.2.276.0.7230010.3.1.2.8323329.5996.1517874319.514212,4,62,M,PA,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +8252e0cd-4d10-4f42-ae3f-d6e960f11989,['infiltration'],00011598_044.png,1.2.276.0.7230010.3.1.2.8323329.6007.1517874319.577035,44,76,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c410214a-de62-4552-b1fb-0234f7b759d9,"['infiltration', 'nodule']",00020298_000.png,1.2.276.0.7230010.3.1.2.8323329.5990.1517874319.478514,0,26,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8f5dd555-1e48-4d6c-9aed-8411044d1f0f,['no finding'],00011065_003.png,1.2.276.0.7230010.3.1.2.8323329.5995.1517874319.508513,3,65,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +fdb7ee89-c1fc-473d-8336-c82f1658dbbd,['no finding'],00021847_005.png,1.2.276.0.7230010.3.1.2.8323329.6011.1517874319.591202,5,55,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a96bb268-a6b1-4dcb-a7f7-eeb51527e72f,"['atelectasis', 'edema', 'infiltration', 'pneumonia']",00018080_012.png,1.2.276.0.7230010.3.1.2.8323329.6018.1517874319.645777,12,69,F,AP,True,Lung Opacity,2.5,2.0,3.0,2.0,"[3, 2]",False +c8826526-a050-43c3-bcd1-02667c3c0f8c,['no finding'],00013285_036.png,1.2.276.0.7230010.3.1.2.8323329.5997.1517874319.518937,36,17,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7ff721f6-5055-4d4b-bd48-e6d49e4d3e7d,['emphysema'],00019888_001.png,1.2.276.0.7230010.3.1.2.8323329.6000.1517874319.548020,1,36,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +b1a8c34d-b577-45d2-8f8e-9190e2cefb4a,"['atelectasis', 'consolidation', 'mass']",00026910_000.png,1.2.276.0.7230010.3.1.2.8323329.6008.1517874319.597770,0,79,M,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +c1d32bfe-9f53-4c13-b464-58dae483352d,"['emphysema', 'infiltration']",00000041_000.png,1.2.276.0.7230010.3.1.2.8323329.6016.1517874319.620957,0,62,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +50533ed3-bfb4-4e56-82f7-678e03864265,['infiltration'],00025290_005.png,1.2.276.0.7230010.3.1.2.8323329.6005.1517874319.590559,5,45,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +3514e23d-3fbf-4695-9e81-ce5a83212984,['infiltration'],00027646_000.png,1.2.276.0.7230010.3.1.2.8323329.6015.1517874319.625817,0,59,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e7745a92-35ba-4e56-9971-85e3bac76abe,['pneumothorax'],00011355_020.png,1.2.276.0.7230010.3.1.2.8323329.6024.1517874319.650334,20,35,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +166479fb-b1f7-494c-b894-2ddf6d21131a,"['consolidation', 'infiltration']",00026963_032.png,1.2.276.0.7230010.3.1.2.8323329.6025.1517874319.658754,32,42,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +3bb78602-d19d-4418-a505-435e52fbf1ba,['no finding'],00013750_023.png,1.2.276.0.7230010.3.1.2.8323329.6032.1517874319.680851,23,58,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9e58a954-94fe-47bb-91d6-772163873124,['no finding'],00009340_006.png,1.2.276.0.7230010.3.1.2.8323329.6047.1517874319.757899,6,55,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ddff3a86-77a1-4a9c-b7cf-2ec5ef401d8a,"['atelectasis', 'infiltration', 'mass']",00014871_007.png,1.2.276.0.7230010.3.1.2.8323329.6020.1517874319.644163,7,55,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +f2b864ba-1e99-4c8d-9951-1c12280c9779,"['consolidation', 'effusion', 'infiltration']",00010222_030.png,1.2.276.0.7230010.3.1.2.8323329.6029.1517874319.670013,30,48,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a53a67ff-caf0-442f-b514-260795b6cd3a,['infiltration'],00010861_000.png,1.2.276.0.7230010.3.1.2.8323329.6040.1517874319.727412,0,4,M,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,2.0,"[1, 1]",True +38d7ed91-6f9d-46ba-85b3-fc32a93621a8,['pneumonia'],00022436_000.png,1.2.276.0.7230010.3.1.2.8323329.6056.1517874319.800446,0,53,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +4baafcc1-54df-4628-9a60-70cc1c941701,['no finding'],00014797_001.png,1.2.276.0.7230010.3.1.2.8323329.6022.1517874319.643485,1,41,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c68e5b90-aeee-4177-9fbb-d9e58d0ba2a0,"['atelectasis', 'infiltration']",00019176_018.png,1.2.276.0.7230010.3.1.2.8323329.6050.1517874319.766723,18,67,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +03a3a168-1758-4a21-8766-fd73d9c15358,"['infiltration', 'pleural_thickening']",00026562_017.png,1.2.276.0.7230010.3.1.2.8323329.6223.1517874324.411748,17,49,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +4bf3d74b-3429-4c77-9f63-108dfcb60f99,['no finding'],00009622_000.png,1.2.276.0.7230010.3.1.2.8323329.6186.1517874324.233457,0,56,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +45fdb11c-c832-49dc-936f-25303df3088b,['no finding'],00008806_015.png,1.2.276.0.7230010.3.1.2.8323329.6213.1517874324.366453,15,35,F,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +db9d9677-d418-4ffb-8198-43e36c50c7a2,['mass'],00022364_000.png,1.2.276.0.7230010.3.1.2.8323329.6221.1517874324.399597,0,48,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +82511162-d2f1-4299-bb37-96355996db3f,"['infiltration', 'mass']",00011845_014.png,1.2.276.0.7230010.3.1.2.8323329.6187.1517874324.235859,14,66,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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'infiltration']",00014790_012.png,1.2.276.0.7230010.3.1.2.8323329.6227.1517874324.439534,12,67,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +440d3b62-7638-48ab-ab66-381833acb954,"['infiltration', 'nodule']",00009998_004.png,1.2.276.0.7230010.3.1.2.8323329.6231.1517874324.462012,4,40,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +faf33ba3-c694-4e86-809d-ff468b6a4021,['infiltration'],00009877_002.png,1.2.276.0.7230010.3.1.2.8323329.6228.1517874324.446331,2,31,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +56eaec61-0b13-41db-ba1d-85075dbc0b7b,"['cardiomegaly', 'effusion']",00027981_001.png,1.2.276.0.7230010.3.1.2.8323329.6233.1517874324.469409,1,57,M,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +c3c2e187-9c3a-46c7-a7e2-6434580c2d99,"['effusion', 'infiltration']",00025220_000.png,1.2.276.0.7230010.3.1.2.8323329.6229.1517874324.455868,0,54,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +d99e786f-9de0-44b4-bb3a-00fba6c72994,['no finding'],00028357_032.png,1.2.276.0.7230010.3.1.2.8323329.6238.1517874324.490452,32,52,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +47761814-5258-4ba7-879c-a60bb9f68029,"['edema', 'infiltration']",00021942_004.png,1.2.276.0.7230010.3.1.2.8323329.6259.1517874324.635040,4,37,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +4dd61819-c62d-453f-b473-0e5f82a38e4c,['no finding'],00023766_002.png,1.2.276.0.7230010.3.1.2.8323329.6243.1517874324.518092,2,52,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f7d97e6c-91e5-4768-a3c9-8df4fbe4114f,['no finding'],00003392_005.png,1.2.276.0.7230010.3.1.2.8323329.6251.1517874324.589364,5,62,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f62c9cfa-ee5d-44fc-8ad3-f3041e4ef521,['no finding'],00005274_005.png,1.2.276.0.7230010.3.1.2.8323329.6244.1517874324.531012,5,39,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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'infiltration']",00007949_007.png,1.2.276.0.7230010.3.1.2.8323329.6260.1517874324.642116,7,38,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +a8e6f79c-abc3-4628-8b61-34b0cafb2d34,['no finding'],00024368_000.png,1.2.276.0.7230010.3.1.2.8323329.6289.1517874324.839069,0,29,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +81a208fa-0cf3-4450-b19d-06c07fcbaa3f,['infiltration'],00002608_003.png,1.2.276.0.7230010.3.1.2.8323329.6271.1517874324.737616,3,23,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +fc10d91c-63f5-40d5-812c-15e33855d095,['no finding'],00021336_000.png,1.2.276.0.7230010.3.1.2.8323329.6262.1517874324.651012,0,60,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ac6b782f-206e-4cd2-8002-427c2843f90b,['infiltration'],00001855_016.png,1.2.276.0.7230010.3.1.2.8323329.6309.1517874325.99090,16,13,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False 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'emphysema', 'infiltration', 'pleural_thickening', 'pneumothorax']",00030637_008.png,1.2.276.0.7230010.3.1.2.8323329.6277.1517874324.768495,8,49,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b29dcdc8-57c8-443a-a69c-615fa7dc9973,"['cardiomegaly', 'infiltration']",00011557_003.png,1.2.276.0.7230010.3.1.2.8323329.6283.1517874324.809432,3,36,M,PA,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +7bb5c7df-51a0-4675-9962-6407d0160c65,['infiltration'],00030323_018.png,1.2.276.0.7230010.3.1.2.8323329.6279.1517874324.775421,18,31,F,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +87233f70-c512-4a6b-8ece-a4cb41accb66,"['fibrosis', 'pleural_thickening']",00000524_001.png,1.2.276.0.7230010.3.1.2.8323329.6285.1517874324.815194,1,51,M,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +0f7c7af4-5ef8-43fe-a598-e9929fd76f5c,['infiltration'],00010531_070.png,1.2.276.0.7230010.3.1.2.8323329.6282.1517874324.809432,70,25,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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finding'],00011268_000.png,1.2.276.0.7230010.3.1.2.8323329.6303.1517874325.22173,0,49,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +1f0ef178-e4be-4ec3-b44a-232ef178f5e9,['no finding'],00007344_003.png,1.2.276.0.7230010.3.1.2.8323329.6320.1517874325.139512,3,58,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5edff1e0-b0b9-4aa2-9c78-1cdb49d30ead,"['edema', 'pneumonia']",00014125_044.png,1.2.276.0.7230010.3.1.2.8323329.6312.1517874325.90921,44,28,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +0a48e8eb-2c55-46ac-82b0-9bea6c5b7872,['no finding'],00009430_000.png,1.2.276.0.7230010.3.1.2.8323329.6318.1517874325.132852,0,17,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7dc823e0-f7c6-42b3-8035-553aeda2a2e5,"['infiltration', 'nodule', 'pneumothorax']",00025368_018.png,1.2.276.0.7230010.3.1.2.8323329.6313.1517874325.120084,18,42,M,PA,True,Lung Opacity,2.5,2.0,3.0,2.0,"[3, 2]",False +af188f6b-66f1-46d7-a211-8a8310278e0c,['no 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Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +87e02682-fc89-44c0-8a7c-866f0dcaa8eb,['no finding'],00029328_005.png,1.2.276.0.7230010.3.1.2.8323329.6328.1517874325.179520,5,59,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +cb8eb60c-ebe6-4d95-b740-61a7b2606af0,"['atelectasis', 'effusion', 'infiltration', 'pneumonia']",00023283_005.png,1.2.276.0.7230010.3.1.2.8323329.6361.1517874325.346699,5,50,F,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +ec00dc74-d8c5-4044-bb7c-61ce11615e96,['no finding'],00020748_000.png,1.2.276.0.7230010.3.1.2.8323329.6329.1517874325.193865,0,51,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +cd3bd5ca-2606-4efb-96f3-abb7adb3fc3d,['no finding'],00008276_001.png,1.2.276.0.7230010.3.1.2.8323329.6350.1517874325.278070,1,57,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +4c3ea79c-df15-44ac-a6c1-2ab834f7f7d2,"['consolidation', 'effusion']",00013993_106.png,1.2.276.0.7230010.3.1.2.8323329.6331.1517874325.194676,106,43,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c701d313-e9bb-4e88-a67c-51363236f30c,['infiltration'],00014294_000.png,1.2.276.0.7230010.3.1.2.8323329.6336.1517874325.220536,0,37,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +17c7c4c8-56af-4a29-b05d-312a3730e1b7,['infiltration'],00016486_002.png,1.2.276.0.7230010.3.1.2.8323329.6333.1517874325.209116,2,33,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ce0f8abe-6b5e-4fb8-b606-f8656f720896,"['atelectasis', 'cardiomegaly', 'consolidation', 'edema', 'effusion', 'pleural_thickening']",00011702_039.png,1.2.276.0.7230010.3.1.2.8323329.6337.1517874325.225028,39,26,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a09ca982-3465-4346-a57c-16d0b9e150fd,"['infiltration', 'nodule']",00026199_000.png,1.2.276.0.7230010.3.1.2.8323329.6340.1517874325.234708,0,46,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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2]",False +9db6696b-6d0c-4778-9336-9d70e9ec4a86,['infiltration'],00029854_000.png,1.2.276.0.7230010.3.1.2.8323329.6344.1517874325.261187,0,24,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7601ce01-d32c-4429-95d5-c2a8c65d7dec,['consolidation'],00011579_010.png,1.2.276.0.7230010.3.1.2.8323329.6356.1517874325.321838,10,57,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +e4f6a677-82b3-490b-866d-2ddca27c957b,"['edema', 'infiltration']",00014788_007.png,1.2.276.0.7230010.3.1.2.8323329.6371.1517874325.400333,7,61,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6444bd23-a7ae-42e1-8c9c-5c690d2d1528,['no finding'],00008141_000.png,1.2.276.0.7230010.3.1.2.8323329.6351.1517874325.282911,0,19,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c98a5ffc-2fb6-4d3c-9b94-1b20042023f1,"['atelectasis', 'effusion']",00002239_002.png,1.2.276.0.7230010.3.1.2.8323329.6408.1517874325.605779,2,44,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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finding'],00012422_011.png,1.2.276.0.7230010.3.1.2.8323329.6524.1517874326.361182,11,64,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d18074c3-5ac2-46d4-91e4-f13f9284115f,"['consolidation', 'infiltration', 'pneumothorax']",00004808_046.png,1.2.276.0.7230010.3.1.2.8323329.6518.1517874326.323573,46,35,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +b6fa6fc8-812c-4110-9881-5a5f8f2fea65,['edema'],00016315_002.png,1.2.276.0.7230010.3.1.2.8323329.6521.1517874326.351493,2,37,F,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +fe169755-e3b1-475b-a31c-e273c77b2013,['effusion'],00001226_004.png,1.2.276.0.7230010.3.1.2.8323329.6519.1517874326.345240,4,80,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +93708fca-e95a-40b8-9c7f-e99c8ccf10fd,['infiltration'],00018610_030.png,1.2.276.0.7230010.3.1.2.8323329.6541.1517874326.459498,30,64,M,AP,True,Lung Opacity,3.0,3.0,3.0,1.0,[3],False +ed1db802-8f03-4d9b-9a91-4d7dd03b2b21,"['atelectasis', 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Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +154dba64-5188-418e-82ec-d8f1485b433b,['infiltration'],00001547_001.png,1.2.276.0.7230010.3.1.2.8323329.6670.1517874327.210510,1,70,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +82766337-019a-4846-b06f-4ad97d538f67,['infiltration'],00003528_013.png,1.2.276.0.7230010.3.1.2.8323329.6675.1517874327.236119,13,46,M,AP,True,Lung Opacity,3.0,3.0,3.0,2.0,"[3, 3]",False +6c008096-1006-43be-9b05-1889eb953544,['no finding'],00027065_000.png,1.2.276.0.7230010.3.1.2.8323329.6672.1517874327.216050,0,56,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +34be1f4b-2863-425f-9f8e-6dc21579575a,"['atelectasis', 'consolidation', 'effusion', 'infiltration']",00012971_002.png,1.2.276.0.7230010.3.1.2.8323329.6681.1517874327.268508,2,63,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +059f1e59-573c-49d1-ac78-3323a2ff047f,"['atelectasis', 'infiltration']",00028173_016.png,1.2.276.0.7230010.3.1.2.8323329.6692.1517874327.316400,16,16,F,AP,True,Lung Opacity,1.5,1.0,2.0,2.0,"[1, 2]",False +4e7078f4-a632-4954-a458-a9bafe717545,['no finding'],00030541_001.png,1.2.276.0.7230010.3.1.2.8323329.6694.1517874327.325835,1,70,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +02242633-faa0-4927-81de-b2b44940068a,['no finding'],00012213_001.png,1.2.276.0.7230010.3.1.2.8323329.6728.1517874327.503101,1,55,F,PA,False,Normal,1.0,1.0,1.0,1.0,[1],True +d0b2d5c0-e578-4520-b3e5-da57e93498e2,['no finding'],00020926_000.png,1.2.276.0.7230010.3.1.2.8323329.6695.1517874327.331236,0,62,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b105fd51-4bb8-4fdb-897a-cd55daee8733,['infiltration'],00001992_012.png,1.2.276.0.7230010.3.1.2.8323329.6715.1517874327.441711,12,17,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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finding'],00012725_000.png,1.2.276.0.7230010.3.1.2.8323329.6707.1517874327.374651,0,44,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c8f3473c-8c28-4d6a-8565-a12479d2623c,['no finding'],00007903_000.png,1.2.276.0.7230010.3.1.2.8323329.6711.1517874327.414752,0,39,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b15aa554-cb99-4a0a-bd49-8c643410750f,['no finding'],00004643_003.png,1.2.276.0.7230010.3.1.2.8323329.6708.1517874327.377893,3,54,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a6ba154f-16a2-45d6-86b0-63f9cc8aacec,"['emphysema', 'infiltration', 'pneumothorax']",00017972_018.png,1.2.276.0.7230010.3.1.2.8323329.6738.1517874327.551156,18,15,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d5d8b914-f94c-4156-a403-9ce6b51da7db,['consolidation'],00007762_011.png,1.2.276.0.7230010.3.1.2.8323329.6712.1517874327.419552,11,65,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Opacity,3.0,3.0,3.0,1.0,[3],False +402c68a6-62b1-4a22-8c40-631c32ac86fd,['infiltration'],00023736_000.png,1.2.276.0.7230010.3.1.2.8323329.7366.1517874331.206594,0,34,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3c2f580e-bdac-4f28-a33e-38b147fc60ca,['no finding'],00020718_001.png,1.2.276.0.7230010.3.1.2.8323329.7369.1517874331.227733,1,34,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f01d3d16-5d6e-4551-8c89-2c0bd9188c2f,"['consolidation', 'nodule']",00018960_025.png,1.2.276.0.7230010.3.1.2.8323329.7375.1517874331.266242,25,25,M,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +fe560784-0eb3-453c-b61b-58350fce5297,['infiltration'],00003662_007.png,1.2.276.0.7230010.3.1.2.8323329.7365.1517874331.210049,7,53,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ba9148d0-12d5-4333-9b5f-bb32c687ed66,['edema'],00016399_019.png,1.2.276.0.7230010.3.1.2.8323329.7444.1517874331.616503,19,56,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False 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finding'],00012613_001.png,1.2.276.0.7230010.3.1.2.8323329.7386.1517874331.338030,1,65,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +71de0642-614b-4043-85ba-79a325c0a4a9,"['atelectasis', 'consolidation']",00013140_002.png,1.2.276.0.7230010.3.1.2.8323329.7429.1517874331.555076,2,51,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +bb9b14e9-2345-404d-a310-1cb5b2ac80ca,['infiltration'],00006068_006.png,1.2.276.0.7230010.3.1.2.8323329.7389.1517874331.361347,6,31,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +4b2202b8-450a-4ad4-bc23-cae89f7fcbd1,"['atelectasis', 'consolidation', 'effusion', 'fibrosis', 'pleural_thickening']",00012643_003.png,1.2.276.0.7230010.3.1.2.8323329.7403.1517874331.432221,3,70,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8584bbc0-d37b-40e8-b109-c863b4740e41,"['fibrosis', 'infiltration']",00003812_003.png,1.2.276.0.7230010.3.1.2.8323329.7384.1517874331.328471,3,59,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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finding'],00008518_011.png,1.2.276.0.7230010.3.1.2.8323329.7419.1517874331.505363,11,35,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d69499a0-85e2-4dd6-814a-80ae86d3dddc,['infiltration'],00025789_001.png,1.2.276.0.7230010.3.1.2.8323329.7448.1517874331.640374,1,30,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ad5f46af-9007-417b-bbd4-79e3d1672301,['no finding'],00028859_001.png,1.2.276.0.7230010.3.1.2.8323329.7456.1517874331.678396,1,51,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8f1ebcac-42fc-458b-9f4d-c678698c3bdc,['infiltration'],00012364_062.png,1.2.276.0.7230010.3.1.2.8323329.7414.1517874331.485369,62,53,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +e9879f2c-d754-4778-917e-a33dc5df0f0e,"['infiltration', 'mass']",00013673_005.png,1.2.276.0.7230010.3.1.2.8323329.7422.1517874331.514997,5,46,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ec3697bd-184e-44ba-9688-ff8d5fbf9bbc,"['infiltration', 'mass']",00014520_026.png,1.2.276.0.7230010.3.1.2.8323329.7426.1517874331.537185,26,150,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8f3ac054-eaac-4626-94ba-fb455f7d44b9,"['consolidation', 'infiltration']",00004007_022.png,1.2.276.0.7230010.3.1.2.8323329.7425.1517874331.541486,22,31,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +621bb38e-ec55-40c2-9a48-fed62f44cd45,['infiltration'],00012874_023.png,1.2.276.0.7230010.3.1.2.8323329.7439.1517874331.613541,23,62,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +fdf8ddd5-3794-4387-9051-6647f1952b36,['infiltration'],00000627_035.png,1.2.276.0.7230010.3.1.2.8323329.7449.1517874331.637364,35,59,M,AP,True,Lung Opacity,3.0,3.0,3.0,1.0,[3],False +a50278a5-b357-4c86-b4ba-fdf099178f69,['no finding'],00026236_008.png,1.2.276.0.7230010.3.1.2.8323329.7427.1517874331.547542,8,36,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9c025c17-e81d-4e8a-b466-01a4d1c0d553,"['atelectasis', 'infiltration']",00006964_007.png,1.2.276.0.7230010.3.1.2.8323329.7455.1517874331.670425,7,52,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +556566b6-d912-47b6-86fe-316d199dfa2d,['infiltration'],00021142_000.png,1.2.276.0.7230010.3.1.2.8323329.7459.1517874331.696017,0,27,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ef426ed4-3967-482e-b5fd-df945555094d,"['effusion', 'pneumonia']",00022290_015.png,1.2.276.0.7230010.3.1.2.8323329.7464.1517874331.723642,15,58,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3d04aef0-2bb8-4de2-a871-4c814bca5d9b,"['edema', 'effusion']",00030152_001.png,1.2.276.0.7230010.3.1.2.8323329.7428.1517874331.547489,1,16,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +6e0f6f55-effa-4743-a858-6f2f2e1f4ec0,['pleural_thickening'],00003282_000.png,1.2.276.0.7230010.3.1.2.8323329.7433.1517874331.572656,0,41,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +bc57e179-afc4-4b32-9294-2e3e0be31da3,['no finding'],00026518_000.png,1.2.276.0.7230010.3.1.2.8323329.7443.1517874331.614589,0,47,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +872805c1-b277-4386-bc7a-4fde8d0647c9,"['atelectasis', 'effusion']",00015857_001.png,1.2.276.0.7230010.3.1.2.8323329.7450.1517874331.638233,1,56,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +53ca0748-9749-40ae-acd0-2b6d00f178c1,"['edema', 'infiltration']",00018387_023.png,1.2.276.0.7230010.3.1.2.8323329.7473.1517874331.773871,23,57,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +357eb651-ccc7-4fb6-8819-c1e365b1e756,['infiltration'],00030494_000.png,1.2.276.0.7230010.3.1.2.8323329.7476.1517874331.798708,0,11,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d316de65-1fcb-45a9-9dc3-b7e956c2132d,"['effusion', 'infiltration']",00010625_012.png,1.2.276.0.7230010.3.1.2.8323329.7447.1517874331.634481,12,37,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e2c633e0-f476-47c4-b178-250907fd9a0f,['atelectasis'],00001736_002.png,1.2.276.0.7230010.3.1.2.8323329.7466.1517874331.756858,2,32,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f3d574fd-fbf5-46fc-819f-649dacf56c70,['consolidation'],00028499_019.png,1.2.276.0.7230010.3.1.2.8323329.7481.1517874331.825628,19,22,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +be03b6e9-e030-4491-b23e-ac1d7efc73bb,"['atelectasis', 'effusion', 'infiltration']",00018669_002.png,1.2.276.0.7230010.3.1.2.8323329.7469.1517874331.758563,2,63,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +9933bf89-fac8-4d39-9ecb-0091e088e1e5,"['atelectasis', 'effusion', 'infiltration']",00005666_002.png,1.2.276.0.7230010.3.1.2.8323329.7475.1517874331.785172,2,52,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +010ccb9f-6d46-4380-af11-84f87397a1b8,"['edema', 'effusion']",00013894_007.png,1.2.276.0.7230010.3.1.2.8323329.7487.1517874331.853500,7,21,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +6dd191db-fa69-4197-ac72-943f4795170f,['no finding'],00001547_006.png,1.2.276.0.7230010.3.1.2.8323329.7467.1517874331.747820,6,65,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d4a21928-dab0-4773-b41e-aaaa12ddab6a,"['atelectasis', 'infiltration']",00014956_040.png,1.2.276.0.7230010.3.1.2.8323329.7478.1517874331.828587,40,45,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +4cced631-6710-435c-b822-e7880a448a63,"['edema', 'fibrosis']",00001106_000.png,1.2.276.0.7230010.3.1.2.8323329.7486.1517874331.859745,0,68,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c2c4a582-730d-432c-a7cf-796e48ddcec6,['pneumothorax'],00006436_008.png,1.2.276.0.7230010.3.1.2.8323329.7509.1517874331.988429,8,48,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,2.0,"[1, 1]",True 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c564f7d2-e018-4a58-b914-0ac5912e7a4a,['infiltration'],00018979_005.png,1.2.276.0.7230010.3.1.2.8323329.7493.1517874331.895561,5,55,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d80372e6-5704-41f0-b2d1-318039191a68,"['atelectasis', 'emphysema', 'infiltration', 'pneumothorax']",00029129_005.png,1.2.276.0.7230010.3.1.2.8323329.7497.1517874331.917077,5,61,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +cf4fe47f-62a2-4b8a-96ce-8a30296f5a7f,['no finding'],00019639_009.png,1.2.276.0.7230010.3.1.2.8323329.7502.1517874331.952799,9,50,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6ceaefb5-278d-4f7e-ba4f-0715d6fbb2a8,"['atelectasis', 'pneumonia']",00008045_002.png,1.2.276.0.7230010.3.1.2.8323329.7474.1517874331.793588,2,59,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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'nodule']",00029301_000.png,1.2.276.0.7230010.3.1.2.8323329.7515.1517874332.40173,0,57,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +ad23629c-4db1-4b9f-87cd-625d4e1e2cc9,['fibrosis'],00002877_003.png,1.2.276.0.7230010.3.1.2.8323329.7520.1517874332.64552,3,71,F,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +4dca2396-aef6-459e-9827-efdd3bef8c76,['atelectasis'],00006689_000.png,1.2.276.0.7230010.3.1.2.8323329.7536.1517874332.202545,0,52,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9f765527-a937-42be-9e95-d673b2ad97e2,['infiltration'],00017236_082.png,1.2.276.0.7230010.3.1.2.8323329.7516.1517874332.50048,82,46,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +824a4fda-1ff7-4ab9-bf6e-21fe6fa37f67,['no finding'],00005365_028.png,1.2.276.0.7230010.3.1.2.8323329.7522.1517874332.101237,28,19,F,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +473d36f3-2deb-489f-8f67-e6ec63f29bd7,"['atelectasis', 'effusion', 'infiltration']",00022618_003.png,1.2.276.0.7230010.3.1.2.8323329.7541.1517874332.221025,3,66,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f24a721d-1f92-4df0-8efb-4e20927d96e4,['nodule'],00005970_006.png,1.2.276.0.7230010.3.1.2.8323329.7545.1517874332.251981,6,64,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8ddb703e-4cbf-4570-8395-70d0c4b7fff0,"['effusion', 'infiltration']",00025923_000.png,1.2.276.0.7230010.3.1.2.8323329.7527.1517874332.131724,0,44,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a7451488-eb1d-4e68-897c-8d57b9722e03,"['atelectasis', 'infiltration', 'pneumonia']",00011564_008.png,1.2.276.0.7230010.3.1.2.8323329.7530.1517874332.158530,8,56,F,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,3.0,"[1, 1, 1]",True +c3406b9b-8a4a-4a03-984f-1ec090f457b3,"['infiltration', 'nodule']",00012884_014.png,1.2.276.0.7230010.3.1.2.8323329.7523.1517874332.116039,14,23,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +0ab731ef-0580-4a2e-9fa2-29a243b71c86,['mass'],00002279_000.png,1.2.276.0.7230010.3.1.2.8323329.7735.1517874333.349898,0,52,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +64677c31-fa28-4732-ba10-5571a711a8bd,['no finding'],00030039_002.png,1.2.276.0.7230010.3.1.2.8323329.7757.1517874333.459922,2,52,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +47024a50-f21e-4ea0-b036-e32c29bf5c5c,['no finding'],00024190_000.png,1.2.276.0.7230010.3.1.2.8323329.7736.1517874333.353180,0,48,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f54cc1dd-2929-4b50-a0ed-6778734cd9a7,['effusion'],00026031_000.png,1.2.276.0.7230010.3.1.2.8323329.7750.1517874333.419809,0,33,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +102b58f8-0c33-4c7a-958e-0fc23d1eb8a7,['no finding'],00009877_007.png,1.2.276.0.7230010.3.1.2.8323329.7763.1517874333.498141,7,36,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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finding'],00010109_000.png,1.2.276.0.7230010.3.1.2.8323329.7813.1517874333.769326,0,65,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e794dbb2-5075-4cd3-98f1-e9876e4f7a04,['mass'],00002032_014.png,1.2.276.0.7230010.3.1.2.8323329.7742.1517874333.383286,14,58,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b42a1fd8-9afb-4926-915c-0d935af3727c,['pleural_thickening'],00005089_006.png,1.2.276.0.7230010.3.1.2.8323329.7746.1517874333.407243,6,34,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9fc06af9-a9d4-454d-bc5e-22eb2d2d975e,['no finding'],00011061_001.png,1.2.276.0.7230010.3.1.2.8323329.7751.1517874333.429484,1,23,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +fe261272-47af-4e70-ba04-85d9d6a3b29b,['no finding'],00006142_001.png,1.2.276.0.7230010.3.1.2.8323329.7766.1517874333.499340,1,65,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +80ef2532-7497-4e5e-bdcc-d97da06da0b5,"['atelectasis', 'emphysema', 'infiltration']",00006769_006.png,1.2.276.0.7230010.3.1.2.8323329.7743.1517874333.387910,6,56,F,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +924f4f8b-fc27-4dfd-b5ae-59c40715e150,['infiltration'],00019894_035.png,1.2.276.0.7230010.3.1.2.8323329.7749.1517874333.412161,35,61,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +4ffba6a9-623e-464b-802f-0b88b45d6847,"['infiltration', 'pneumothorax']",00001170_018.png,1.2.276.0.7230010.3.1.2.8323329.7753.1517874333.436979,18,23,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +fd616534-a079-4323-818c-912a3cc972be,"['atelectasis', 'cardiomegaly', 'effusion']",00004445_001.png,1.2.276.0.7230010.3.1.2.8323329.7758.1517874333.456769,1,54,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8b8d0cc0-fa3c-4b87-97f8-bef191a62ad0,"['atelectasis', 'effusion']",00030106_008.png,1.2.276.0.7230010.3.1.2.8323329.7754.1517874333.443168,8,73,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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finding'],00026304_000.png,1.2.276.0.7230010.3.1.2.8323329.8178.1517874335.947534,0,39,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6448b83f-acd4-4ec5-94ca-fa76bd04a9cd,"['effusion', 'infiltration', 'pneumothorax']",00018253_070.png,1.2.276.0.7230010.3.1.2.8323329.8205.1517874336.111005,70,71,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f696261f-49c1-4274-81be-4e6b9e8c5602,['effusion'],00026099_030.png,1.2.276.0.7230010.3.1.2.8323329.8214.1517874336.141708,30,23,M,AP,True,Lung Opacity,3.0,3.0,3.0,2.0,"[3, 3]",False +0bb1cb0e-7377-407d-845e-dce144852d32,['cardiomegaly'],00013830_000.png,1.2.276.0.7230010.3.1.2.8323329.8142.1517874335.768511,0,43,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +aa85ecc1-f7ae-4a76-ad20-aa660f99c186,['infiltration'],00005918_008.png,1.2.276.0.7230010.3.1.2.8323329.8164.1517874335.859613,8,75,F,AP,True,Lung Opacity,3.0,3.0,3.0,2.0,"[3, 3]",False +cd86f0cb-06c7-4e52-8bb9-4cdf94f33951,"['atelectasis', 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Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +3bdf49c0-0eed-4b48-b831-1510cffd2d04,"['atelectasis', 'cardiomegaly', 'effusion', 'fibrosis', 'infiltration']",00004402_008.png,1.2.276.0.7230010.3.1.2.8323329.8330.1517874336.810343,8,70,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +ce4b3358-32c2-4ffc-8bea-3c4bad887322,['pneumothorax'],00004169_000.png,1.2.276.0.7230010.3.1.2.8323329.8376.1517874337.91298,0,9,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b4760abe-2176-4f4a-a16a-35728c9feba1,"['infiltration', 'nodule']",00004209_000.png,1.2.276.0.7230010.3.1.2.8323329.8381.1517874337.126378,0,54,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +fe272c75-9f89-4733-a7b7-a0965bc30b53,['infiltration'],00009863_019.png,1.2.276.0.7230010.3.1.2.8323329.8326.1517874336.784130,19,40,F,AP,True,Lung Opacity,3.0,3.0,3.0,1.0,[3],False +e985a3d8-3e61-4589-9b91-d53dad5d3ee1,"['consolidation', 'effusion', 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'pleural_thickening']",00027817_005.png,1.2.276.0.7230010.3.1.2.8323329.8466.1517874337.565471,5,43,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +4aaf377b-35ff-412d-bb67-db1ad8c49200,['infiltration'],00023068_014.png,1.2.276.0.7230010.3.1.2.8323329.8477.1517874337.630125,14,72,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +153dc47f-9a10-4cbe-a0eb-8a747cc6d8b8,"['infiltration', 'mass', 'nodule', 'pneumothorax']",00008342_013.png,1.2.276.0.7230010.3.1.2.8323329.8505.1517874337.773280,13,36,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +6c27f72e-7cda-4e4b-906d-ec6b84cee49e,"['atelectasis', 'pleural_thickening']",00030039_005.png,1.2.276.0.7230010.3.1.2.8323329.8509.1517874337.796995,5,53,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +0b3e4d34-b9d2-42b2-8d4a-08e67098486f,['infiltration'],00017726_004.png,1.2.276.0.7230010.3.1.2.8323329.8476.1517874337.623706,4,47,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ad040815-28e7-4a5c-a3fb-1692488569de,['no finding'],00007317_021.png,1.2.276.0.7230010.3.1.2.8323329.8481.1517874337.650447,21,55,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b539db75-809d-4c0c-8b9f-b0e934ed740e,"['consolidation', 'edema']",00029526_008.png,1.2.276.0.7230010.3.1.2.8323329.8488.1517874337.673565,8,34,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +ac23d97b-7d42-4ad9-ad8f-db7e6aeddffa,"['atelectasis', 'infiltration']",00027242_002.png,1.2.276.0.7230010.3.1.2.8323329.8468.1517874337.577960,2,48,F,AP,True,Lung Opacity,3.0,3.0,3.0,1.0,[3],False +a1f6801d-e44b-4d7c-bef0-066328f9bd94,['infiltration'],00009321_003.png,1.2.276.0.7230010.3.1.2.8323329.8478.1517874337.631364,3,46,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +23b6ebc0-f7eb-4df2-b401-678a810fcdda,['no finding'],00012815_003.png,1.2.276.0.7230010.3.1.2.8323329.8482.1517874337.662023,3,43,F,AP,False,No Lung Opacity / Not 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finding'],00024975_000.png,1.2.276.0.7230010.3.1.2.8323329.8850.1517874339.792386,0,29,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9d5a35ff-4644-4f75-91cf-4ed3142af182,['no finding'],00021700_007.png,1.2.276.0.7230010.3.1.2.8323329.8841.1517874339.736460,7,58,M,PA,True,Lung Opacity,3.0,3.0,3.0,1.0,[3],False +6c93d95a-2f16-46ea-88d8-84906aa27d64,['infiltration'],00014764_001.png,1.2.276.0.7230010.3.1.2.8323329.8861.1517874339.916522,1,34,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7d4b74a5-53e7-4b66-812c-ead6671c672e,"['atelectasis', 'nodule']",00014710_003.png,1.2.276.0.7230010.3.1.2.8323329.8870.1517874339.985560,3,59,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9d9a0334-a683-455c-8351-1c5cef88c6b0,['infiltration'],00000676_002.png,1.2.276.0.7230010.3.1.2.8323329.8844.1517874339.739193,2,64,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +dd0b42cc-e6af-4b9f-bd8a-cd7c6edc29d7,['no 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Opacity,2.0,2.0,2.0,1.0,[2],False +0f7aad9e-fc37-4689-8c84-3a83a6bd79b0,['infiltration'],00010060_016.png,1.2.276.0.7230010.3.1.2.8323329.8973.1517874340.522698,16,58,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,2.0,"[1, 1]",True +b33610c9-a152-47f8-8ee5-4f81dce62938,"['infiltration', 'nodule']",00019896_001.png,1.2.276.0.7230010.3.1.2.8323329.8980.1517874340.547371,1,60,F,PA,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +f57a3824-8b1f-451a-a3b0-48beb8058057,['effusion'],00017405_017.png,1.2.276.0.7230010.3.1.2.8323329.8992.1517874340.596317,17,65,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +e718f826-3561-446e-bd2c-d9a12a0cd67c,"['atelectasis', 'infiltration']",00010142_011.png,1.2.276.0.7230010.3.1.2.8323329.9011.1517874340.683313,11,80,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3d5e4188-b4c2-41b1-81fe-a48f6271fe47,"['effusion', 'infiltration', 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finding'],00025558_000.png,1.2.276.0.7230010.3.1.2.8323329.9078.1517874340.993621,0,68,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +fb533c87-6972-43e0-9a98-0144c900246f,['no finding'],00014678_000.png,1.2.276.0.7230010.3.1.2.8323329.9093.1517874341.66228,0,54,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e332fb1f-04c4-4317-a494-62a5cd646518,['cardiomegaly'],00000096_000.png,1.2.276.0.7230010.3.1.2.8323329.9110.1517874341.190363,0,67,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d6fa7572-1ed2-4dfd-8350-503296856b45,['no finding'],00007750_000.png,1.2.276.0.7230010.3.1.2.8323329.9099.1517874341.130822,0,56,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +0898494b-fa6c-442c-b049-eb974ccee7b3,['no finding'],00015594_001.png,1.2.276.0.7230010.3.1.2.8323329.9116.1517874341.209433,1,61,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +71a2ac75-a5e5-4c1f-999d-01b53a0f35b0,['no 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+4ef08e2e-100a-4ddb-9977-e1eab87892e4,['infiltration'],00023068_007.png,1.2.276.0.7230010.3.1.2.8323329.9292.1517874342.197447,7,72,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6b389074-37b0-4471-a9bd-c6ebe95d9683,"['atelectasis', 'infiltration']",00002505_011.png,1.2.276.0.7230010.3.1.2.8323329.9236.1517874341.903611,11,28,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f7a37b72-fda5-4adc-b3b0-968c923bc1c6,"['emphysema', 'infiltration']",00012014_005.png,1.2.276.0.7230010.3.1.2.8323329.9256.1517874342.12954,5,35,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +fa57116a-57a0-406c-ac92-62cc15536a27,['no finding'],00003561_000.png,1.2.276.0.7230010.3.1.2.8323329.9274.1517874342.117542,0,34,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +fde9b6e5-382b-4fec-8406-70a279a4b696,"['edema', 'effusion', 'infiltration', 'pneumonia']",00009302_008.png,1.2.276.0.7230010.3.1.2.8323329.9238.1517874341.902337,8,40,F,AP,True,Lung Opacity,3.0,3.0,3.0,2.0,"[3, 3]",False +131caf9c-9b7f-46cb-a18e-d9c331159d6f,['no finding'],00001996_009.png,1.2.276.0.7230010.3.1.2.8323329.9243.1517874341.946486,9,39,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +50ee9022-a1ab-4844-9738-30c5a6e17ab9,"['atelectasis', 'pneumothorax']",00020318_014.png,1.2.276.0.7230010.3.1.2.8323329.9367.1517874342.625097,14,60,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +417250c8-7d43-4b73-bc68-e792d57b7216,['no finding'],00023997_000.png,1.2.276.0.7230010.3.1.2.8323329.9379.1517874342.718844,0,37,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +659bf031-6a2e-44f3-b3f3-3f0a7ca168f7,['no finding'],00012076_000.png,1.2.276.0.7230010.3.1.2.8323329.9239.1517874341.917307,0,64,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +58ad2808-fae9-4079-99b7-3f3eae239cac,"['effusion', 'infiltration']",00019643_035.png,1.2.276.0.7230010.3.1.2.8323329.9250.1517874341.987064,35,31,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,2.0,"[1, 1]",True +a2ad563b-6e82-4724-9016-e4033be97e4a,['infiltration'],00030408_018.png,1.2.276.0.7230010.3.1.2.8323329.9255.1517874342.14207,18,67,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +f7a172fc-a34f-4155-806d-7b0afe2a6156,['infiltration'],00022604_013.png,1.2.276.0.7230010.3.1.2.8323329.9253.1517874341.989580,13,26,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +e51b728d-0972-4868-ab92-aa85f34fd242,['no finding'],00019706_017.png,1.2.276.0.7230010.3.1.2.8323329.9261.1517874342.57851,17,34,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +eb4b4e84-96c3-4f17-a2bb-a498f772023a,"['effusion', 'pneumothorax']",00015112_004.png,1.2.276.0.7230010.3.1.2.8323329.9245.1517874341.943860,4,54,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +452caa68-4d43-4bff-b47a-9c2759de46bb,"['atelectasis', 'effusion']",00013141_002.png,1.2.276.0.7230010.3.1.2.8323329.9260.1517874342.44807,2,7,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +35555536-4cf7-4f87-bfe2-8af308264f73,['infiltration'],00018043_000.png,1.2.276.0.7230010.3.1.2.8323329.9269.1517874342.96528,0,49,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +750d6b01-4273-43b2-8de8-500e738cb257,['infiltration'],00001854_000.png,1.2.276.0.7230010.3.1.2.8323329.9275.1517874342.122612,0,16,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +7cba3619-3544-4149-aab4-a2bc27f0ff0f,['pneumothorax'],00013244_010.png,1.2.276.0.7230010.3.1.2.8323329.9246.1517874341.972160,10,58,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +919a8a81-4de2-4f44-b14c-04c3c776c969,"['effusion', 'mass']",00021772_013.png,1.2.276.0.7230010.3.1.2.8323329.9268.1517874342.95409,13,62,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +701ee1cc-5bb4-4b0d-b1df-437d8a5fdcb3,"['consolidation', 'effusion']",00016335_000.png,1.2.276.0.7230010.3.1.2.8323329.9283.1517874342.159604,0,84,M,PA,True,Lung Opacity,3.0,3.0,3.0,1.0,[3],False 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finding'],00026436_000.png,1.2.276.0.7230010.3.1.2.8323329.9252.1517874341.985798,0,79,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ca315c36-fd74-46dd-9307-0524e6b937bb,['infiltration'],00009599_000.png,1.2.276.0.7230010.3.1.2.8323329.9262.1517874342.61778,0,17,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e21cf265-67df-4c9d-a046-f35b267785e0,['pneumonia'],00000583_045.png,1.2.276.0.7230010.3.1.2.8323329.9279.1517874342.145907,45,40,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f71ca4fa-eabc-4ab1-b2e4-0535cdc25425,['no finding'],00008794_000.png,1.2.276.0.7230010.3.1.2.8323329.9290.1517874342.181862,0,34,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7f3c2906-55ce-467c-bf83-5829b83c57cc,['consolidation'],00005828_000.png,1.2.276.0.7230010.3.1.2.8323329.9258.1517874342.15633,0,62,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ee5ee553-5acf-4dcb-931a-5988fbb9a351,['infiltration'],00021999_000.png,1.2.276.0.7230010.3.1.2.8323329.9282.1517874342.156174,0,55,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +69f67e49-d9f3-4763-b2cb-db657f1d0a58,['infiltration'],00021822_000.png,1.2.276.0.7230010.3.1.2.8323329.9289.1517874342.183846,0,27,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9c3edffc-7981-40c3-84b9-d719e49ce1db,"['edema', 'pneumonia']",00019938_003.png,1.2.276.0.7230010.3.1.2.8323329.9278.1517874342.131236,3,39,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +c2e4d89e-1580-473c-9ec5-cd7ba29de6ca,['infiltration'],00020344_000.png,1.2.276.0.7230010.3.1.2.8323329.9284.1517874342.156180,0,44,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f8e647ad-f72d-4843-a19a-ea0b9abf8777,['pneumothorax'],00016568_019.png,1.2.276.0.7230010.3.1.2.8323329.9288.1517874342.178074,19,39,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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1]",False +673af04c-9370-4356-a97d-32f6bb128230,['no finding'],00028258_008.png,1.2.276.0.7230010.3.1.2.8323329.9501.1517874343.435706,8,25,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +634282ba-24ad-421a-8cfc-b5f45a4649d1,"['infiltration', 'nodule']",00021519_000.png,1.2.276.0.7230010.3.1.2.8323329.9524.1517874343.584092,0,65,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +290ba340-b0c0-44d5-ab13-e0e315504cac,['no finding'],00008804_000.png,1.2.276.0.7230010.3.1.2.8323329.9471.1517874343.251057,0,39,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3360928c-c862-470f-8b08-238114499ce3,"['effusion', 'mass']",00016325_000.png,1.2.276.0.7230010.3.1.2.8323329.9503.1517874343.451872,0,72,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +63fe1ae4-bd2d-4777-9dfc-8683aba56460,"['atelectasis', 'effusion']",00016409_000.png,1.2.276.0.7230010.3.1.2.8323329.9509.1517874343.474225,0,89,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Opacity,3.0,3.0,3.0,1.0,[3],False +8e2b2c4e-18b8-4a78-8817-b1e8a1a5f32e,['no finding'],00008701_005.png,1.2.276.0.7230010.3.1.2.8323329.10259.1517874347.699560,5,46,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +aff6b77a-a1ee-485a-a758-377dbc08f868,['no finding'],00006670_013.png,1.2.276.0.7230010.3.1.2.8323329.10282.1517874347.838756,13,31,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a5216c86-9455-4be0-999b-88701b96be65,['no finding'],00006400_000.png,1.2.276.0.7230010.3.1.2.8323329.10303.1517874347.959746,0,25,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +dc3c7d12-a717-4ae6-b8b6-05c339a6f878,['pleural_thickening'],00017405_007.png,1.2.276.0.7230010.3.1.2.8323329.10314.1517874348.51891,7,64,M,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +ee2aa282-fcf7-4368-a66c-70fc51aedbab,['no finding'],00023528_000.png,1.2.276.0.7230010.3.1.2.8323329.10263.1517874347.727492,0,52,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +90132556-239d-4f8e-9263-603596046506,['no finding'],00009061_006.png,1.2.276.0.7230010.3.1.2.8323329.10283.1517874347.842654,6,60,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +29cfef18-40c3-489f-adcf-05bd93765b9d,['fibrosis'],00005150_000.png,1.2.276.0.7230010.3.1.2.8323329.10299.1517874347.934011,0,77,M,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +91981606-e607-481d-af2b-c77dc9ede77a,['no finding'],00020018_003.png,1.2.276.0.7230010.3.1.2.8323329.10305.1517874347.969386,3,51,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +328ca6d8-ae49-41ad-9e58-823c8049b1bb,['no finding'],00018464_013.png,1.2.276.0.7230010.3.1.2.8323329.10332.1517874349.715667,13,58,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +3fc0ad26-a4e5-47a1-8074-80686ef85821,['no finding'],00008439_000.png,1.2.276.0.7230010.3.1.2.8323329.10284.1517874347.845585,0,51,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e7b63d9f-6399-425e-be10-e143504c475a,['no finding'],00021744_002.png,1.2.276.0.7230010.3.1.2.8323329.10288.1517874347.881864,2,64,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7a1e02f8-4965-4364-918b-83d3422f931b,"['edema', 'pneumonia']",00013968_007.png,1.2.276.0.7230010.3.1.2.8323329.10296.1517874347.927201,7,26,M,AP,True,Lung Opacity,2.5,2.0,3.0,2.0,"[3, 2]",False +d6af45fd-a23d-455c-bc3c-75dfe5f1c455,['no finding'],00007105_000.png,1.2.276.0.7230010.3.1.2.8323329.10301.1517874347.946885,0,29,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +1c2fbe4f-6785-420d-a7ef-d81b84ff45ec,"['infiltration', 'pleural_thickening']",00015266_006.png,1.2.276.0.7230010.3.1.2.8323329.10298.1517874347.929283,6,76,F,AP,True,Lung Opacity,3.0,3.0,3.0,1.0,[3],False +413b612c-2ac4-40c7-af08-87f4bd7ab4a2,['no finding'],00020629_002.png,1.2.276.0.7230010.3.1.2.8323329.10319.1517874348.116046,2,56,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +32652bc7-21e2-4aa4-ae0c-461950e4c131,"['consolidation', 'fibrosis', 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finding'],00006378_006.png,1.2.276.0.7230010.3.1.2.8323329.10547.1517874352.727471,6,55,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9df8b81f-7bde-4fd4-926d-cb08187f4866,"['atelectasis', 'consolidation']",00022870_007.png,1.2.276.0.7230010.3.1.2.8323329.10577.1517874352.928510,7,63,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,2.0,"[1, 1]",True +703a0f54-e627-4297-a5a0-ea29955bbfe2,['atelectasis'],00004131_000.png,1.2.276.0.7230010.3.1.2.8323329.10549.1517874352.745137,0,68,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ce258cdf-531c-40f4-9a61-f79f3b59f652,['no finding'],00016522_007.png,1.2.276.0.7230010.3.1.2.8323329.10555.1517874352.768792,7,28,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8ec9099c-705e-4197-9e6f-b1a9a51b5ae8,"['fibrosis', 'pneumonia']",00018362_008.png,1.2.276.0.7230010.3.1.2.8323329.10550.1517874352.743628,8,47,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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'infiltration']",00005759_013.png,1.2.276.0.7230010.3.1.2.8323329.10558.1517874352.787639,13,63,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +a8d79131-e3d3-48db-935b-750bcdc83b81,['no finding'],00002798_001.png,1.2.276.0.7230010.3.1.2.8323329.10563.1517874352.812445,1,69,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3707b351-5760-4962-93a0-9f58252d22e7,"['atelectasis', 'effusion', 'infiltration']",00007629_004.png,1.2.276.0.7230010.3.1.2.8323329.10559.1517874352.784384,4,52,M,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +4eabc5b6-eb31-495c-ae71-baff48d68912,"['consolidation', 'effusion', 'mass']",00010294_026.png,1.2.276.0.7230010.3.1.2.8323329.10561.1517874352.798118,26,50,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a72fd9b3-5f86-407f-bde0-d091d3b1a773,['nodule'],00016687_000.png,1.2.276.0.7230010.3.1.2.8323329.10568.1517874352.853244,0,62,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +f2b8f524-44f2-47cd-b02d-780eebd41695,['cardiomegaly'],00021565_023.png,1.2.276.0.7230010.3.1.2.8323329.10618.1517874353.96576,23,39,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +31df0417-e221-44e1-8629-34a3f0b01d35,['consolidation'],00017921_000.png,1.2.276.0.7230010.3.1.2.8323329.10619.1517874353.104198,0,61,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6d1f151b-b100-4086-9c9d-16e510aec767,['mass'],00013991_002.png,1.2.276.0.7230010.3.1.2.8323329.10620.1517874353.112188,2,56,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a887251c-8046-4ff2-b5e5-9ef155ef94a7,['edema'],00010142_007.png,1.2.276.0.7230010.3.1.2.8323329.10628.1517874353.147591,7,80,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +628bc700-14a6-496c-b555-f07625699843,['infiltration'],00010456_000.png,1.2.276.0.7230010.3.1.2.8323329.10621.1517874353.114912,0,37,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Opacity,3.0,3.0,3.0,3.0,"[3, 3, 3]",False +2398ea30-8cf0-4265-b374-0300a5181759,"['atelectasis', 'consolidation', 'effusion', 'infiltration', 'pleural_thickening', 'pneumothorax']",00007670_018.png,1.2.276.0.7230010.3.1.2.8323329.10638.1517874353.196145,18,46,F,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +e19ef382-08cd-49ba-ab98-4f8c1527bb08,['no finding'],00015640_005.png,1.2.276.0.7230010.3.1.2.8323329.10642.1517874353.223235,5,43,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f57c04bd-77ad-49a5-85d3-b7f371878a87,"['infiltration', 'mass']",00018101_009.png,1.2.276.0.7230010.3.1.2.8323329.10639.1517874353.206558,9,34,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5a759599-d47f-4274-a2bf-9e2ca3ec8b25,"['cardiomegaly', 'effusion']",00028526_003.png,1.2.276.0.7230010.3.1.2.8323329.10651.1517874353.278767,3,34,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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'pneumonia']",00015809_023.png,1.2.276.0.7230010.3.1.2.8323329.10679.1517874353.433433,23,38,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +17faf806-5b26-418b-8d5d-a1ff45539ea7,['no finding'],00027213_035.png,1.2.276.0.7230010.3.1.2.8323329.10680.1517874353.434324,35,73,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +33d0e01d-6a72-4dfe-ae47-a526edf8bbea,['no finding'],00002734_000.png,1.2.276.0.7230010.3.1.2.8323329.10675.1517874353.410025,0,71,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9778f137-de03-40da-9d6b-3187d59fd9aa,"['consolidation', 'mass']",00001531_002.png,1.2.276.0.7230010.3.1.2.8323329.10667.1517874353.351665,2,84,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +bbc0b0fa-940d-41c5-8f97-e7c2da468d97,"['consolidation', 'nodule']",00009321_012.png,1.2.276.0.7230010.3.1.2.8323329.10670.1517874353.374168,12,46,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +2f1c6087-6bc6-41c9-8433-c55203f72963,['no 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7901b0f0-3a78-403a-b3d4-945d81fa6886,['effusion'],00005609_024.png,1.2.276.0.7230010.3.1.2.8323329.10713.1517874353.672039,24,40,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +961009dc-022b-42fe-82c7-d8db3daae8f0,['emphysema'],00018366_025.png,1.2.276.0.7230010.3.1.2.8323329.10688.1517874353.493687,25,64,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +163aa468-b519-4109-85ac-58b46a5b8bf7,['infiltration'],00020791_002.png,1.2.276.0.7230010.3.1.2.8323329.10698.1517874353.594278,2,30,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b2fca33f-a7d4-4a8e-a6fe-2fcc48b7d1d9,['no finding'],00008503_001.png,1.2.276.0.7230010.3.1.2.8323329.10690.1517874353.536796,1,61,M,PA,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +068ae297-8397-463e-927e-cb6693aeb8b5,['consolidation'],00021763_003.png,1.2.276.0.7230010.3.1.2.8323329.10710.1517874353.656331,3,57,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +79b34f64-0c0b-458b-82c3-95f938d3ab08,"['atelectasis', 'consolidation']",00002673_003.png,1.2.276.0.7230010.3.1.2.8323329.10708.1517874353.656269,3,23,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d7bfefaf-ecce-4755-985e-fb1e5b366358,['infiltration'],00020513_024.png,1.2.276.0.7230010.3.1.2.8323329.10716.1517874353.686477,24,25,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3c1a0a47-72ef-44df-bc99-88af8a191c4d,['no finding'],00022155_025.png,1.2.276.0.7230010.3.1.2.8323329.10706.1517874353.638459,25,40,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9dc1d341-d3a7-4745-bd02-6c877d696bf2,['no finding'],00008919_005.png,1.2.276.0.7230010.3.1.2.8323329.10718.1517874353.695418,5,55,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b3722bbf-4908-48e5-8f40-d52da540854a,['no finding'],00028615_000.png,1.2.276.0.7230010.3.1.2.8323329.10709.1517874353.651016,0,23,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +42ee524b-33f2-4f01-bbc0-5d0b1fe77ef4,['no finding'],00025434_000.png,1.2.276.0.7230010.3.1.2.8323329.10715.1517874353.688600,0,34,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ed5a9042-12d7-475f-98ef-be378446e3e7,['atelectasis'],00016358_007.png,1.2.276.0.7230010.3.1.2.8323329.10728.1517874353.748967,7,51,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +349c35ba-a32c-4cef-bfe9-613da6d7054d,"['atelectasis', 'effusion']",00007451_005.png,1.2.276.0.7230010.3.1.2.8323329.10719.1517874353.700359,5,64,M,PA,True,Lung Opacity,3.0,3.0,3.0,1.0,[3],False +ae094b72-b7e5-4dff-a775-8bab37b0082e,['infiltration'],00016778_012.png,1.2.276.0.7230010.3.1.2.8323329.10727.1517874353.740447,12,26,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +9dd64822-97f8-4b4b-85ad-7e38c7fd98c9,['infiltration'],00000051_000.png,1.2.276.0.7230010.3.1.2.8323329.10721.1517874353.707047,0,55,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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'emphysema']",00003212_002.png,1.2.276.0.7230010.3.1.2.8323329.11871.1517874361.635499,2,39,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,2.0,"[1, 1]",True +0cc48c9c-0576-4d70-abc0-dd8cdc1eb788,"['atelectasis', 'effusion']",00013993_099.png,1.2.276.0.7230010.3.1.2.8323329.11794.1517874360.537651,99,43,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +6f27fe76-2a4b-4679-8381-664160325373,['cardiomegaly'],00030276_000.png,1.2.276.0.7230010.3.1.2.8323329.11806.1517874360.588791,0,39,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8fd28cb8-eb35-45a3-844e-e29d7d63850b,['no finding'],00010613_010.png,1.2.276.0.7230010.3.1.2.8323329.11816.1517874360.629203,10,56,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8937fe34-daec-4d5c-8add-b23b9b0f03fa,['infiltration'],00023081_009.png,1.2.276.0.7230010.3.1.2.8323329.11802.1517874360.567910,9,54,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ef9fb572-2914-4d16-982a-59eb99f5567b,['infiltration'],00005832_029.png,1.2.276.0.7230010.3.1.2.8323329.11807.1517874360.598344,29,45,M,AP,True,Lung Opacity,1.5,1.0,2.0,2.0,"[2, 1]",False +6465132f-14b2-4f9b-943e-29aeca26cb4c,['no finding'],00011840_000.png,1.2.276.0.7230010.3.1.2.8323329.11814.1517874360.619477,0,43,M,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +b864ec3f-158d-42f2-a8e3-2f093c9b2345,"['atelectasis', 'emphysema', 'infiltration', 'pneumothorax', 'pneumonia']",00026848_007.png,1.2.276.0.7230010.3.1.2.8323329.11835.1517874360.904822,7,22,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +2f80ae68-fdc8-4e4c-9e64-7de9db969518,"['mass', 'nodule', 'pleural_thickening']",00013608_010.png,1.2.276.0.7230010.3.1.2.8323329.11837.1517874360.946895,10,16,M,AP,False,No Lung Opacity / Not Normal,2.0,2.0,2.0,2.0,"[2, 2]",True +49e7e3a8-2980-4a6d-b469-ed6b749c3b7f,['no 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8ec959f3-27f9-43dc-98d0-dfa7ddf7d9e9,"['atelectasis', 'infiltration']",00001836_120.png,1.2.276.0.7230010.3.1.2.8323329.11873.1517874361.659421,120,50,F,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +f1882d38-08a5-4b8d-915a-1d43ac9e4c81,['no finding'],00003137_001.png,1.2.276.0.7230010.3.1.2.8323329.11853.1517874361.514737,1,63,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +97b49b96-d8ba-4fed-bc9e-e0912c9f66eb,['infiltration'],00013616_044.png,1.2.276.0.7230010.3.1.2.8323329.11863.1517874361.587222,44,63,M,AP,True,Lung Opacity,2.5,2.0,3.0,2.0,"[3, 2]",False +fcd516a9-18ed-489d-a9a6-d1302b0ba040,['infiltration'],00012822_002.png,1.2.276.0.7230010.3.1.2.8323329.11869.1517874361.617527,2,25,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c4c02f02-e91c-4a0f-8a56-d89f9fec81f3,['infiltration'],00004344_005.png,1.2.276.0.7230010.3.1.2.8323329.11881.1517874361.717675,5,47,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False 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finding'],00011237_004.png,1.2.276.0.7230010.3.1.2.8323329.11897.1517874361.781108,4,55,F,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +0baa6d29-66e3-40db-8aeb-5ebe80ddc8c8,['infiltration'],00012832_003.png,1.2.276.0.7230010.3.1.2.8323329.11876.1517874361.684706,3,49,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +084d42b9-0a43-490d-9a8d-e4d7545c44f5,"['infiltration', 'nodule', 'pneumonia']",00022237_015.png,1.2.276.0.7230010.3.1.2.8323329.11882.1517874361.730512,15,69,M,AP,True,Lung Opacity,3.0,3.0,3.0,1.0,[3],False +cc548ac0-8784-4430-86af-02e1c6bc36c1,"['infiltration', 'mass']",00020789_000.png,1.2.276.0.7230010.3.1.2.8323329.11918.1517874362.112713,0,83,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +54824e0c-402b-46d3-a604-7c847544b865,['pneumothorax'],00029863_023.png,1.2.276.0.7230010.3.1.2.8323329.11886.1517874361.728279,23,58,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c56b1137-e4d4-4139-94ba-b287ca43e318,['no finding'],00026725_004.png,1.2.276.0.7230010.3.1.2.8323329.11896.1517874361.778181,4,71,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a4a3fd3c-331e-43d8-8e21-1d9162d34424,['pleural_thickening'],00002805_000.png,1.2.276.0.7230010.3.1.2.8323329.11915.1517874362.98617,0,48,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a57cadda-72be-4b2f-8724-82cf1fc08f07,"['atelectasis', 'infiltration']",00011367_003.png,1.2.276.0.7230010.3.1.2.8323329.11879.1517874361.717675,3,37,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,2.0,"[1, 1]",True +3c66e4d3-1167-4322-8367-b50e762c138b,['no finding'],00006084_005.png,1.2.276.0.7230010.3.1.2.8323329.11890.1517874361.750196,5,38,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +9de217b4-1ccd-4e84-b0a7-3e4398687212,['infiltration'],00000459_018.png,1.2.276.0.7230010.3.1.2.8323329.11898.1517874361.780210,18,57,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c5bca0c4-2fa0-437a-b92c-b037a6f9613e,['atelectasis'],00026399_007.png,1.2.276.0.7230010.3.1.2.8323329.11885.1517874361.727160,7,56,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +53c369ae-d8f9-4e44-b212-c6e2dc6ef580,['no finding'],00003861_000.png,1.2.276.0.7230010.3.1.2.8323329.11900.1517874361.782961,0,12,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7ad05803-8238-4bb8-bddd-365cc1381680,['no finding'],00022798_000.png,1.2.276.0.7230010.3.1.2.8323329.11924.1517874362.128673,0,7,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +54adda49-e4a2-4706-af0c-40174ba821a6,['no finding'],00017735_001.png,1.2.276.0.7230010.3.1.2.8323329.11933.1517874362.189794,1,68,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e8a7fd94-3616-448a-a57d-f4507987f185,['edema'],00006446_002.png,1.2.276.0.7230010.3.1.2.8323329.11891.1517874361.753853,2,67,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False 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finding'],00002332_000.png,1.2.276.0.7230010.3.1.2.8323329.11951.1517874362.315763,0,49,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +91a4c9e5-1800-42ca-87d1-6762cd65bf51,['infiltration'],00017714_018.png,1.2.276.0.7230010.3.1.2.8323329.11923.1517874362.124286,18,20,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +79c9fdcb-4b15-4e11-8d8a-30fac6bbca58,['nodule'],00013449_002.png,1.2.276.0.7230010.3.1.2.8323329.11938.1517874362.228510,2,57,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +eca73343-ef7f-4c09-9c6c-7b83cf8f9b63,['no finding'],00022941_000.png,1.2.276.0.7230010.3.1.2.8323329.11946.1517874362.263934,0,27,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +38fcb370-03e9-49bf-9a87-8ac0172a5af6,['no finding'],00015826_030.png,1.2.276.0.7230010.3.1.2.8323329.11965.1517874362.388250,30,50,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Opacity,3.0,3.0,3.0,1.0,[3],False +fe7edfb1-555b-44e0-8cdf-a04278e4fb75,['no finding'],00019228_000.png,1.2.276.0.7230010.3.1.2.8323329.12064.1517874362.872285,0,54,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ec0492da-e6be-49cf-8b18-dc143180f1a2,"['atelectasis', 'pneumonia']",00001706_001.png,1.2.276.0.7230010.3.1.2.8323329.12041.1517874362.739081,1,55,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6325a116-aefd-48b2-8ab3-f10f2e24f4b2,"['consolidation', 'effusion']",00013249_003.png,1.2.276.0.7230010.3.1.2.8323329.12075.1517874362.916759,3,14,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +cfd26b52-bef8-4bd1-b5fb-a090d6b3e6dd,['effusion'],00013955_000.png,1.2.276.0.7230010.3.1.2.8323329.12080.1517874362.940023,0,36,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +0bf44996-58da-4a12-8be1-da5c9b009975,['infiltration'],00009863_020.png,1.2.276.0.7230010.3.1.2.8323329.12042.1517874362.745023,20,40,F,AP,True,Lung Opacity,2.0,2.0,2.0,3.0,"[2, 2, 2]",False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +76fafcc0-915f-413d-bfa6-cf1194e1d28c,['no finding'],00008341_009.png,1.2.276.0.7230010.3.1.2.8323329.12144.1517874363.322383,9,33,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ae781ca0-acb7-4ab5-8566-cfd3b474ef42,['no finding'],00002080_004.png,1.2.276.0.7230010.3.1.2.8323329.12163.1517874363.424515,4,65,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f35d3738-ea47-483d-b7fd-047c10b49eae,['no finding'],00001748_003.png,1.2.276.0.7230010.3.1.2.8323329.12170.1517874363.452829,3,54,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +883dd87d-faa1-4500-a413-15e534941d99,['infiltration'],00018948_000.png,1.2.276.0.7230010.3.1.2.8323329.12205.1517874363.632468,0,30,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9530b7b3-6cf5-4d8f-b76a-8fcedc319c4e,"['consolidation', 'infiltration']",00011391_029.png,1.2.276.0.7230010.3.1.2.8323329.12160.1517874363.403895,29,39,F,AP,True,Lung Opacity,1.5,1.0,2.0,2.0,"[2, 1]",False 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2]",False +d0d001be-d40b-4bb4-837a-7904f7c5aea9,['infiltration'],00006991_006.png,1.2.276.0.7230010.3.1.2.8323329.12228.1517874363.755489,6,50,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9746c15f-94d1-4528-aff0-8ef02ccccef0,['infiltration'],00011673_000.png,1.2.276.0.7230010.3.1.2.8323329.12166.1517874363.424689,0,2,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +40abf906-d723-4ea3-ac96-b940c8bb33b1,['no finding'],00030287_001.png,1.2.276.0.7230010.3.1.2.8323329.12168.1517874363.445981,1,19,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +4eb851fb-3331-4180-af49-4b9ff2dbfaa4,"['fibrosis', 'infiltration']",00006563_002.png,1.2.276.0.7230010.3.1.2.8323329.12186.1517874363.531862,2,64,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +66c7dfee-7368-4926-944c-65e52a372f48,['no finding'],00002666_009.png,1.2.276.0.7230010.3.1.2.8323329.12208.1517874363.649586,9,38,M,AP,False,No Lung Opacity / Not 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Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +ae14bb5d-9134-43ab-ad0a-c44c4e52bd67,['no finding'],00011731_001.png,1.2.276.0.7230010.3.1.2.8323329.12185.1517874363.522789,1,38,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e3b95b4b-b2e4-47ff-9e2a-3af2e6fea49c,"['atelectasis', 'effusion']",00019730_006.png,1.2.276.0.7230010.3.1.2.8323329.12195.1517874363.589273,6,31,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +fb876708-dfd4-4c92-b9c2-c0842d7529ee,"['effusion', 'infiltration', 'nodule']",00028882_005.png,1.2.276.0.7230010.3.1.2.8323329.12176.1517874363.479261,5,29,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +bc054c4c-280f-4e1d-9b93-9563cd368aae,['infiltration'],00005963_003.png,1.2.276.0.7230010.3.1.2.8323329.12183.1517874363.516573,3,22,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +7e106e4d-e62b-4b24-b163-7a80086b2afc,"['consolidation', 'pneumothorax']",00014458_003.png,1.2.276.0.7230010.3.1.2.8323329.12199.1517874363.600938,3,39,F,AP,False,No Lung 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8c9a86b2-45c2-4435-acd0-2eb1c7dcf73f,['infiltration'],00005976_000.png,1.2.276.0.7230010.3.1.2.8323329.12564.1517874366.370320,0,11,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +83ea4863-3845-42ab-b5f2-550c38c597b7,"['infiltration', 'mass']",00014888_015.png,1.2.276.0.7230010.3.1.2.8323329.12526.1517874365.568744,15,43,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b1a863d8-998d-414d-ae47-536e0dcec368,['infiltration'],00030612_001.png,1.2.276.0.7230010.3.1.2.8323329.12542.1517874365.668136,1,52,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +eb276eb8-10f6-4e56-90d7-89f7d77f1cee,['no finding'],00026827_001.png,1.2.276.0.7230010.3.1.2.8323329.12550.1517874365.706604,1,83,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +ee7e4b0e-72a1-47f9-a085-ca3e9b358d66,['no finding'],00030584_000.png,1.2.276.0.7230010.3.1.2.8323329.12571.1517874366.421086,0,36,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Opacity,2.0,2.0,2.0,1.0,[2],False +c79ce9c8-3550-4a3d-8b7f-34903f69d9d7,['infiltration'],00020408_036.png,1.2.276.0.7230010.3.1.2.8323329.12553.1517874365.710862,36,45,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a4b8d93d-6387-4b7f-8e54-14cb130d3c9e,['no finding'],00018680_013.png,1.2.276.0.7230010.3.1.2.8323329.12565.1517874366.407023,13,73,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c3d9ffbc-830b-4003-bbd1-b172a5ec09e3,['no finding'],00002583_000.png,1.2.276.0.7230010.3.1.2.8323329.12580.1517874366.478350,0,46,M,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +766e9b9b-1eeb-44e1-90e6-5cc3062bff97,['no finding'],00027541_001.png,1.2.276.0.7230010.3.1.2.8323329.12555.1517874365.791354,1,55,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3a037b3d-5100-4ba1-bbb4-eb9c22d9e572,"['atelectasis', 'effusion', 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Opacity,3.0,3.0,3.0,1.0,[3],False +f5776e96-52ce-4515-88bf-190ab6e0c816,['infiltration'],00003584_002.png,1.2.276.0.7230010.3.1.2.8323329.13013.1517874368.929965,2,59,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +1d9ec3ad-0120-428b-9778-3805f9348092,['infiltration'],00014346_039.png,1.2.276.0.7230010.3.1.2.8323329.13029.1517874368.999204,39,19,F,AP,True,Lung Opacity,3.0,3.0,3.0,1.0,[3],False +d3d0536b-d0e8-4e2a-a803-03c7d42d454d,"['atelectasis', 'consolidation']",00011237_051.png,1.2.276.0.7230010.3.1.2.8323329.12997.1517874368.787839,51,56,F,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +ebd0999b-f778-4d0f-8307-f633c22f9f1f,['infiltration'],00003789_002.png,1.2.276.0.7230010.3.1.2.8323329.13001.1517874368.808752,2,41,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +788a5305-7004-4f0b-98b5-65dd2e6d2698,['no finding'],00007131_001.png,1.2.276.0.7230010.3.1.2.8323329.13005.1517874368.858713,1,57,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Opacity,2.0,2.0,2.0,1.0,[2],False +eadd770e-f476-4472-aad5-bc6dd92c5e02,['infiltration'],00019314_002.png,1.2.276.0.7230010.3.1.2.8323329.13068.1517874369.259660,2,62,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +59f0e3aa-30fa-442d-a92c-4f80ca84f550,['no finding'],00012348_001.png,1.2.276.0.7230010.3.1.2.8323329.13076.1517874369.292622,1,34,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +0906c2ce-d3a7-43ad-af1b-1dadf70d8cc4,['infiltration'],00008701_006.png,1.2.276.0.7230010.3.1.2.8323329.13090.1517874369.348291,6,46,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +08e483d6-4e5d-4685-9dfb-d1befb56a31f,['no finding'],00007430_004.png,1.2.276.0.7230010.3.1.2.8323329.13092.1517874369.369136,4,26,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a4cba60f-6006-4a32-8ce7-488fa06bec4c,"['edema', 'infiltration']",00018187_039.png,1.2.276.0.7230010.3.1.2.8323329.13072.1517874369.267106,39,32,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +eb867723-c976-423b-b56d-5d802bc2f04f,['infiltration'],00021457_034.png,1.2.276.0.7230010.3.1.2.8323329.13309.1517874370.766161,34,34,M,AP,True,Lung Opacity,3.0,3.0,3.0,2.0,"[3, 3]",False +92104a70-8f4e-444a-b129-8fb204a46c52,['infiltration'],00015397_003.png,1.2.276.0.7230010.3.1.2.8323329.13311.1517874370.787785,3,47,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +0f0bc2f0-761b-4d4e-a0ae-a6f5a628ab1c,"['atelectasis', 'infiltration', 'nodule', 'pleural_thickening']",00019430_001.png,1.2.276.0.7230010.3.1.2.8323329.13312.1517874370.822570,1,72,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +e0c4de6f-0915-498a-8b42-84d181ae4ecd,['no finding'],00023884_000.png,1.2.276.0.7230010.3.1.2.8323329.13313.1517874370.857992,0,67,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7f7c668b-c970-4a58-b9ee-80e70fb23e3d,"['atelectasis', 'effusion']",00027189_005.png,1.2.276.0.7230010.3.1.2.8323329.13310.1517874370.779733,5,60,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e2fbe7af-e71f-40e5-9cf1-2c41caea4527,['infiltration'],00026099_012.png,1.2.276.0.7230010.3.1.2.8323329.13324.1517874371.217021,12,23,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +cf3b5e4b-043c-4fcf-81b5-c11898dcefe8,['no finding'],00029438_000.png,1.2.276.0.7230010.3.1.2.8323329.13342.1517874371.934407,0,25,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6bff452f-17b7-4a7e-8d1f-8898ac8bdedc,['pneumothorax'],00009206_001.png,1.2.276.0.7230010.3.1.2.8323329.13357.1517874371.998341,1,70,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +195c5e5f-7058-48c5-8fe9-67cffd60c9b3,"['cardiomegaly', 'infiltration']",00015732_007.png,1.2.276.0.7230010.3.1.2.8323329.13323.1517874371.209686,7,54,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3714013c-1f47-439b-9a21-92f288a5845f,['no finding'],00021588_000.png,1.2.276.0.7230010.3.1.2.8323329.13327.1517874371.245741,0,32,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7fadaf95-e9fd-46eb-a96f-5d06326690b9,"['effusion', 'infiltration']",00021457_036.png,1.2.276.0.7230010.3.1.2.8323329.13340.1517874371.907455,36,34,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +b9cd9ce8-2450-44bc-8e83-9cab6b7b35ef,['infiltration'],00018366_004.png,1.2.276.0.7230010.3.1.2.8323329.13346.1517874371.956303,4,64,F,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +94b59e87-d849-425d-973f-a34b30330a82,['atelectasis'],00013883_000.png,1.2.276.0.7230010.3.1.2.8323329.13328.1517874371.283548,0,55,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c9965593-c591-4c07-946d-32682f8e3296,['nodule'],00014981_000.png,1.2.276.0.7230010.3.1.2.8323329.13343.1517874371.943368,0,32,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f5b63011-870c-40cb-8bad-c15a5270500e,"['consolidation', 'effusion', 'mass']",00013648_034.png,1.2.276.0.7230010.3.1.2.8323329.13353.1517874371.972078,34,34,M,AP,False,No Lung Opacity 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Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +430c807a-f0bc-4a24-9304-c8a129dfc80a,"['emphysema', 'infiltration']",00027213_028.png,1.2.276.0.7230010.3.1.2.8323329.13621.1517874373.630856,28,73,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ac8c5b1a-2e5f-43a0-8b13-3ff7561a83aa,['no finding'],00013217_000.png,1.2.276.0.7230010.3.1.2.8323329.13626.1517874373.687522,0,24,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +746f5331-7bb5-4e38-8970-f796f9c4b428,['infiltration'],00030198_000.png,1.2.276.0.7230010.3.1.2.8323329.13595.1517874373.486829,0,28,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +340e5ce5-5845-4c7d-be4d-a646c7e5c4ed,['no finding'],00013493_011.png,1.2.276.0.7230010.3.1.2.8323329.13600.1517874373.513868,11,23,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +78228039-bc86-44ce-8a13-57cf49ccf493,"['mass', 'pneumothorax']",00030162_001.png,1.2.276.0.7230010.3.1.2.8323329.13605.1517874373.541591,1,15,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +86bd39a4-568d-443c-9ad4-4c9807d7f136,['no finding'],00019210_000.png,1.2.276.0.7230010.3.1.2.8323329.13642.1517874373.785568,0,54,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5335c092-fa66-4c3a-a4ac-8455eef0ab8f,['effusion'],00026341_005.png,1.2.276.0.7230010.3.1.2.8323329.13594.1517874373.503485,5,58,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e89dadae-bdbf-4f2e-a4a1-d2d56abf0d48,"['consolidation', 'edema', 'infiltration']",00013625_026.png,1.2.276.0.7230010.3.1.2.8323329.13603.1517874373.527614,26,66,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +d55f67db-c835-43a1-a4a1-a80468eb7b75,"['infiltration', 'pneumothorax']",00001528_005.png,1.2.276.0.7230010.3.1.2.8323329.13612.1517874373.568277,5,51,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +586ad370-dafd-45c0-9801-a89e7e20380a,"['infiltration', 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finding'],00015024_003.png,1.2.276.0.7230010.3.1.2.8323329.13658.1517874373.874523,3,22,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7895bf3c-db0a-4b9e-92e3-67c95cd9452f,['infiltration'],00011569_000.png,1.2.276.0.7230010.3.1.2.8323329.13667.1517874373.938690,0,26,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +88fee25b-d2c9-4aa7-85c9-579e0cc40b43,['no finding'],00026292_005.png,1.2.276.0.7230010.3.1.2.8323329.13672.1517874373.967053,5,75,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5018aa71-340b-430e-9017-0c5cf8e4b816,"['emphysema', 'nodule']",00020195_014.png,1.2.276.0.7230010.3.1.2.8323329.13654.1517874373.849234,14,51,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a7c69985-832e-4c35-810c-6578955cec97,['infiltration'],00018530_008.png,1.2.276.0.7230010.3.1.2.8323329.13675.1517874373.982517,8,49,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False 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'infiltration']",00016643_008.png,1.2.276.0.7230010.3.1.2.8323329.13737.1517874374.365712,8,51,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f9b4c07f-4d0c-4afc-bab6-96014387fb5e,['infiltration'],00013922_021.png,1.2.276.0.7230010.3.1.2.8323329.13707.1517874374.202562,21,53,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +9a2e09e1-071d-43b8-83f1-ca546b1f0a03,"['atelectasis', 'consolidation']",00010384_021.png,1.2.276.0.7230010.3.1.2.8323329.13712.1517874374.223563,21,17,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +484f000c-eaf4-4da2-bc96-9829823c4e97,['pneumothorax'],00026392_001.png,1.2.276.0.7230010.3.1.2.8323329.13722.1517874374.284115,1,21,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +31d76acb-c15d-4968-beba-92d071417d06,['no finding'],00021554_000.png,1.2.276.0.7230010.3.1.2.8323329.13739.1517874374.375856,0,52,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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finding'],00015152_006.png,1.2.276.0.7230010.3.1.2.8323329.13783.1517874374.609782,6,79,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +fee5a348-ef53-4b41-b88f-a0563edaaafa,"['fibrosis', 'infiltration']",00001974_010.png,1.2.276.0.7230010.3.1.2.8323329.13771.1517874374.555983,10,51,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3f8e8216-fd48-4f9e-909a-bd0cd15b752b,['no finding'],00007735_012.png,1.2.276.0.7230010.3.1.2.8323329.13777.1517874374.582304,12,30,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f78069b2-dc85-42f7-b210-9ca0f6630f94,['cardiomegaly'],00011169_000.png,1.2.276.0.7230010.3.1.2.8323329.13760.1517874374.484491,0,63,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +333f3a4a-0169-42ef-b0aa-2c9fe63a282b,['infiltration'],00024943_000.png,1.2.276.0.7230010.3.1.2.8323329.13766.1517874374.530519,0,22,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5399e1e3-a2a1-48c3-80ab-29b18ecb98f4,['no finding'],00009143_000.png,1.2.276.0.7230010.3.1.2.8323329.13778.1517874374.596861,0,29,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +dbafd69b-c2d5-44f5-a3f2-6c347ce377d2,"['consolidation', 'effusion']",00028765_031.png,1.2.276.0.7230010.3.1.2.8323329.13797.1517874374.685480,31,32,F,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +6f1d6d64-5ccd-4545-a996-dfbf4fd9d298,['infiltration'],00005814_007.png,1.2.276.0.7230010.3.1.2.8323329.13772.1517874374.560873,7,63,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9836d1d6-e2e9-4070-8f44-cd1a2f6a8607,['infiltration'],00004027_001.png,1.2.276.0.7230010.3.1.2.8323329.13782.1517874374.601345,1,44,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b7268bc2-00d9-4026-9423-2d91a6e22901,['no finding'],00016275_000.png,1.2.276.0.7230010.3.1.2.8323329.13798.1517874374.714477,0,42,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ab83b236-6625-4c80-80b7-00a00a71c9d9,"['effusion', 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Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +5d5585f5-3e22-417f-b106-8d2fddfdfaa3,['no finding'],00014302_011.png,1.2.276.0.7230010.3.1.2.8323329.13801.1517874374.716386,11,42,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +591462ec-83f8-4fae-9cae-ac5dfdedec82,['infiltration'],00019842_002.png,1.2.276.0.7230010.3.1.2.8323329.13807.1517874374.757038,2,42,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e65a76b8-9bbb-44a4-8707-fd17c3cc12d4,['no finding'],00027439_000.png,1.2.276.0.7230010.3.1.2.8323329.13810.1517874374.789453,0,46,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f0310a43-5e8d-4661-9cfc-4555b47bc581,['infiltration'],00026021_000.png,1.2.276.0.7230010.3.1.2.8323329.13828.1517874375.28260,0,46,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +4dbc6799-0777-4982-b20d-094b070218c2,"['atelectasis', 'infiltration']",00015826_009.png,1.2.276.0.7230010.3.1.2.8323329.13803.1517874374.734030,9,49,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b1f74e4d-e64a-4555-b60e-8dad24766fd5,"['infiltration', 'pneumothorax']",00011553_013.png,1.2.276.0.7230010.3.1.2.8323329.14087.1517874377.478103,13,9,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +8789aa21-a6e4-4738-bb20-2c5651f76744,"['atelectasis', 'effusion', 'infiltration', 'mass']",00009431_004.png,1.2.276.0.7230010.3.1.2.8323329.14096.1517874377.576565,4,18,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +4db6986d-c092-4c1a-957a-6149d8a91d7c,"['atelectasis', 'effusion']",00006386_008.png,1.2.276.0.7230010.3.1.2.8323329.14105.1517874377.606119,8,78,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a65e4bec-79df-46d8-bae0-037aed58842e,['mass'],00003129_002.png,1.2.276.0.7230010.3.1.2.8323329.14132.1517874377.745677,2,61,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +45f8b38c-130a-4f00-9553-0837279af932,"['mass', 'nodule']",00018607_003.png,1.2.276.0.7230010.3.1.2.8323329.14090.1517874377.534153,3,64,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a8594b24-2a4b-4081-a679-d70c2607ca42,"['effusion', 'infiltration']",00027584_003.png,1.2.276.0.7230010.3.1.2.8323329.14103.1517874377.577830,3,75,M,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +686caa6d-9f3c-4a1c-87fb-84063fe336ed,['effusion'],00007458_001.png,1.2.276.0.7230010.3.1.2.8323329.14109.1517874377.625044,1,61,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +4e344db4-ca5e-4421-9677-2014a9ba8e42,['no finding'],00009473_002.png,1.2.276.0.7230010.3.1.2.8323329.14121.1517874377.679208,2,28,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9680a3f0-01ca-4c8b-8d09-d209f72108ea,['infiltration'],00019547_014.png,1.2.276.0.7230010.3.1.2.8323329.14104.1517874377.592691,14,65,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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'nodule']",00013244_003.png,1.2.276.0.7230010.3.1.2.8323329.14111.1517874377.629496,3,58,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +94598e94-e8a9-454c-8028-9d07f9497d1a,['pneumonia'],00014405_001.png,1.2.276.0.7230010.3.1.2.8323329.14123.1517874377.697204,1,33,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5ab218fd-5dcb-402a-9613-2647db580e00,"['consolidation', 'effusion']",00019730_013.png,1.2.276.0.7230010.3.1.2.8323329.14129.1517874377.717814,13,32,F,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +5772efe6-5336-474e-a619-d2d5529fa316,"['infiltration', 'nodule']",00003369_017.png,1.2.276.0.7230010.3.1.2.8323329.14131.1517874377.745979,17,52,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a056f19b-06e5-47f8-9861-005b6dd08fc0,['infiltration'],00025787_040.png,1.2.276.0.7230010.3.1.2.8323329.14112.1517874377.637571,40,28,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False 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2]",False +482560b1-f73c-402d-97b5-7cc146682bf3,"['atelectasis', 'effusion', 'infiltration']",00006653_016.png,1.2.276.0.7230010.3.1.2.8323329.14145.1517874377.822358,16,44,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +678ce72a-bb3c-4ccf-8d37-ae6af61f7f95,"['consolidation', 'infiltration']",00011553_025.png,1.2.276.0.7230010.3.1.2.8323329.14149.1517874377.843284,25,9,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +e45d1c6d-704f-4114-9145-9eb5a41c9bf1,['consolidation'],00029465_001.png,1.2.276.0.7230010.3.1.2.8323329.14153.1517874377.864799,1,55,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6bd06739-0335-492e-bce8-e2c3ec1706b2,['cardiomegaly'],00012081_000.png,1.2.276.0.7230010.3.1.2.8323329.14161.1517874377.914380,0,30,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a8aae1e6-2a7a-443b-aaed-aecc02bb3e39,"['atelectasis', 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f36259c8-6751-4c6f-b9d4-44fd4f86e61b,['effusion'],00022888_003.png,1.2.276.0.7230010.3.1.2.8323329.14234.1517874378.263958,3,70,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +328b2a99-e908-4cfb-8efd-9c5dbbe1d855,"['effusion', 'pneumothorax']",00020318_004.png,1.2.276.0.7230010.3.1.2.8323329.14221.1517874378.211419,4,60,M,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,2.0,"[1, 1]",True +eee1e39f-03ee-4522-9255-3a04700889f9,['infiltration'],00015732_037.png,1.2.276.0.7230010.3.1.2.8323329.14228.1517874378.242972,37,48,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6502337c-9c85-4ce3-8d49-3a1175d426bb,['no finding'],00025812_002.png,1.2.276.0.7230010.3.1.2.8323329.14235.1517874378.267773,2,48,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +4edd32a5-7960-41f5-a68a-df4744f3fe21,['infiltration'],00013625_050.png,1.2.276.0.7230010.3.1.2.8323329.14245.1517874378.322886,50,66,M,AP,True,Lung 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Opacity,2.0,2.0,2.0,1.0,[2],False +aeae6cbc-d713-4760-845c-fcc93ed5ad64,['no finding'],00008734_004.png,1.2.276.0.7230010.3.1.2.8323329.14250.1517874378.351680,4,19,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +7257e3de-ff3d-4b37-9450-937abfae06dd,['infiltration'],00020484_003.png,1.2.276.0.7230010.3.1.2.8323329.14259.1517874378.391895,3,40,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b46fcbd0-8851-4561-96de-0a820e49f45d,"['atelectasis', 'effusion', 'emphysema', 'mass', 'pleural_thickening']",00019635_005.png,1.2.276.0.7230010.3.1.2.8323329.14242.1517874378.310511,5,72,M,PA,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +52edd24a-15db-449d-b0c5-8051eab5fd1e,['no finding'],00001312_000.png,1.2.276.0.7230010.3.1.2.8323329.14271.1517874378.484207,0,59,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f69af194-65fb-412b-8004-9b6a643b1c39,"['infiltration', 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Normal,1.0,1.0,1.0,2.0,"[1, 1]",True +be83eb42-e7de-44f3-b853-a4faee9c871c,"['infiltration', 'mass', 'pleural_thickening']",00010051_002.png,1.2.276.0.7230010.3.1.2.8323329.14328.1517874378.851089,2,53,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +60825f4a-83dc-4863-b0c3-a606f6a1414a,"['atelectasis', 'consolidation', 'effusion', 'infiltration']",00013917_019.png,1.2.276.0.7230010.3.1.2.8323329.14337.1517874378.881953,19,54,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +821d49d2-03f1-4424-9337-1dfa45cdd1ff,['infiltration'],00019637_000.png,1.2.276.0.7230010.3.1.2.8323329.14308.1517874378.695413,0,75,M,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,2.0,"[1, 1]",True +816cef8f-cbf7-43c7-8386-609bd95c78e6,"['effusion', 'infiltration']",00018187_053.png,1.2.276.0.7230010.3.1.2.8323329.14317.1517874378.787382,53,32,F,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False 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Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +7458057f-a75e-49ed-a22f-41960bfa2a00,['no finding'],00007339_008.png,1.2.276.0.7230010.3.1.2.8323329.14560.1517874380.214167,8,29,M,PA,True,Lung Opacity,3.0,3.0,3.0,1.0,[3],False +72fbc26e-3b3e-4a16-b10b-b84bd09790ff,['no finding'],00015442_016.png,1.2.276.0.7230010.3.1.2.8323329.14582.1517874380.330963,16,61,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f7661af4-f66e-4867-a3d6-7e1fab5aabb2,"['effusion', 'pleural_thickening', 'pneumothorax']",00022185_008.png,1.2.276.0.7230010.3.1.2.8323329.14536.1517874380.81378,8,77,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e36afeec-266a-4aa8-9d47-72fcaa56cf30,['atelectasis'],00016105_000.png,1.2.276.0.7230010.3.1.2.8323329.14557.1517874380.195341,0,53,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ac720376-3ba0-4d34-9743-cd152ddcee2c,['no finding'],00008899_008.png,1.2.276.0.7230010.3.1.2.8323329.14574.1517874380.300000,8,29,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +fb7da100-dbbc-4fee-b22b-24cec8ce8404,"['atelectasis', 'cardiomegaly', 'effusion', 'infiltration']",00001549_012.png,1.2.276.0.7230010.3.1.2.8323329.14593.1517874380.388215,12,57,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +7e2246e4-8412-4216-af50-7ae8c232f9b9,"['effusion', 'infiltration']",00003528_015.png,1.2.276.0.7230010.3.1.2.8323329.14538.1517874380.83769,15,46,M,AP,True,Lung Opacity,2.5,2.0,3.0,2.0,"[3, 2]",False +eacb08fa-28b7-4c6a-b343-e3bc955b0b0d,['effusion'],00012021_008.png,1.2.276.0.7230010.3.1.2.8323329.14542.1517874380.114224,8,25,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +d72350f5-c320-43d4-b3cf-d90d5dc6b243,['nodule'],00007780_001.png,1.2.276.0.7230010.3.1.2.8323329.14549.1517874380.152031,1,63,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +38b67cdf-650c-4c90-bcfb-745f0db2ec97,"['cardiomegaly', 'consolidation']",00012114_002.png,1.2.276.0.7230010.3.1.2.8323329.14545.1517874380.120102,2,44,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +31bac031-0b6b-408f-8acc-1651bd777dc0,['infiltration'],00010535_018.png,1.2.276.0.7230010.3.1.2.8323329.14550.1517874380.141854,18,64,M,PA,True,Lung Opacity,2.0,1.0,3.0,2.0,"[3, 1]",False +bce1a9aa-127b-4535-9e96-d1ca41d72e0c,"['edema', 'effusion', 'infiltration']",00014362_005.png,1.2.276.0.7230010.3.1.2.8323329.14558.1517874380.194943,5,45,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +e874f9c3-27c3-4b54-b3c0-bc4461342f90,['consolidation'],00000467_003.png,1.2.276.0.7230010.3.1.2.8323329.14561.1517874380.216274,3,52,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c89eeefc-0fe3-43c9-a6d8-0d34c33c376a,['infiltration'],00019145_006.png,1.2.276.0.7230010.3.1.2.8323329.14565.1517874380.237985,6,46,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +25da2f07-bba7-4645-b36a-eb16de62eab7,['no finding'],00020964_000.png,1.2.276.0.7230010.3.1.2.8323329.14567.1517874380.260440,0,28,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8c2aa2bb-ac88-4f14-a322-72d7e23749e8,"['emphysema', 'infiltration', 'mass']",00006502_000.png,1.2.276.0.7230010.3.1.2.8323329.14580.1517874380.336355,0,53,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +8e97558c-5b68-4738-97da-914acc1ef509,['no finding'],00000698_000.png,1.2.276.0.7230010.3.1.2.8323329.14588.1517874380.375301,0,42,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a6236ddd-6367-4569-b5f1-07d2df9390ad,"['atelectasis', 'consolidation', 'edema', 'pneumonia']",00000032_012.png,1.2.276.0.7230010.3.1.2.8323329.14572.1517874380.294911,12,55,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +b6271674-f13d-4087-ae03-d6ae35381dfc,['infiltration'],00029817_005.png,1.2.276.0.7230010.3.1.2.8323329.14579.1517874380.321311,5,67,F,AP,True,Lung Opacity,1.5,1.0,2.0,2.0,"[2, 1]",False +a411265c-e57e-4428-8064-4359a8605b49,['nodule'],00019647_005.png,1.2.276.0.7230010.3.1.2.8323329.14584.1517874380.345888,5,48,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b0c8314a-a3f5-4d1a-aa52-516c06a757ca,['infiltration'],00028020_004.png,1.2.276.0.7230010.3.1.2.8323329.14615.1517874380.486107,4,60,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c7cce8b2-c0f2-4234-ab75-203f214f8ffb,['no finding'],00010294_056.png,1.2.276.0.7230010.3.1.2.8323329.14577.1517874380.309379,56,50,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3f9c00a1-c694-43fe-ad8d-4a67174bd0b3,['pneumothorax'],00029869_003.png,1.2.276.0.7230010.3.1.2.8323329.14585.1517874380.344008,3,45,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9b59d220-9502-4997-bb55-ecc4064e1788,['infiltration'],00000662_010.png,1.2.276.0.7230010.3.1.2.8323329.14596.1517874380.390905,10,56,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5e32b292-1c7a-4225-b0e3-78a95acc7d75,"['consolidation', 'infiltration']",00015605_030.png,1.2.276.0.7230010.3.1.2.8323329.14578.1517874380.317550,30,32,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +b1d545f0-8658-4533-959f-dc32955904ca,"['infiltration', 'nodule']",00014082_010.png,1.2.276.0.7230010.3.1.2.8323329.14583.1517874380.343156,10,29,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ca51b3ac-e223-4a54-aee7-f9081f415f0f,"['effusion', 'infiltration']",00025529_017.png,1.2.276.0.7230010.3.1.2.8323329.14592.1517874380.378577,17,35,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7c7efe9b-37a6-4272-b49d-0886ccda52ef,"['mass', 'nodule']",00011804_016.png,1.2.276.0.7230010.3.1.2.8323329.14618.1517874380.527837,16,56,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +23f122ac-3693-45bb-8769-273cd644f643,['nodule'],00000383_001.png,1.2.276.0.7230010.3.1.2.8323329.14586.1517874380.354989,1,66,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d845f759-bc82-40b4-b5b2-594550b728bd,"['consolidation', 'effusion']",00016732_001.png,1.2.276.0.7230010.3.1.2.8323329.14601.1517874380.417417,1,80,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3862449a-cc8b-40da-91a0-a1437618e65c,"['consolidation', 'effusion', 'infiltration', 'pleural_thickening']",00009730_002.png,1.2.276.0.7230010.3.1.2.8323329.14614.1517874380.480500,2,41,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +7ec4d36e-92cc-4aeb-944b-0ca9d985b202,['infiltration'],00009825_002.png,1.2.276.0.7230010.3.1.2.8323329.14589.1517874380.366514,2,68,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +aceadc8e-a025-4184-af7c-20325cb516a3,"['consolidation', 'nodule', 'pneumothorax']",00017325_007.png,1.2.276.0.7230010.3.1.2.8323329.14595.1517874380.388774,7,66,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +b8d5cabd-d5b5-4ac4-b1d1-f0f80be47619,['no finding'],00008954_000.png,1.2.276.0.7230010.3.1.2.8323329.14599.1517874380.413293,0,40,F,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +5776eae9-886b-4027-bcec-4ade9a431014,"['edema', 'infiltration']",00011757_004.png,1.2.276.0.7230010.3.1.2.8323329.14622.1517874380.538909,4,68,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +ca0d5943-ddcb-46c4-b629-a268e649fa16,['infiltration'],00001446_000.png,1.2.276.0.7230010.3.1.2.8323329.14591.1517874380.374336,0,57,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +63eb7c63-4d93-4fe9-8877-1105c0ca31e3,"['atelectasis', 'cardiomegaly']",00015819_000.png,1.2.276.0.7230010.3.1.2.8323329.14610.1517874380.465503,0,54,F,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,2.0,"[1, 1]",True 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Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +15ee34b0-feca-424f-8ac6-9c61ad8ecbe1,['no finding'],00004752_000.png,1.2.276.0.7230010.3.1.2.8323329.14763.1517874381.729296,0,57,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8ddf9271-afbf-44bf-b566-f5c17ff31ddf,['pneumothorax'],00012014_001.png,1.2.276.0.7230010.3.1.2.8323329.14779.1517874381.834769,1,32,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ffd2bc74-f9d6-49fb-84d7-de060ee22583,['no finding'],00028285_012.png,1.2.276.0.7230010.3.1.2.8323329.14752.1517874381.663720,12,19,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +965d78b9-7dc1-4e94-85de-b750c9e0213c,['mass'],00028070_000.png,1.2.276.0.7230010.3.1.2.8323329.14772.1517874381.798317,0,70,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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finding'],00012238_010.png,1.2.276.0.7230010.3.1.2.8323329.14774.1517874381.816099,10,148,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ab5af9ff-8001-4442-af29-693abdb98e14,"['effusion', 'infiltration']",00015605_002.png,1.2.276.0.7230010.3.1.2.8323329.14792.1517874381.899806,2,31,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +0b754c5b-d5ee-4a2a-a6e0-c610568b676d,['no finding'],00017980_006.png,1.2.276.0.7230010.3.1.2.8323329.14802.1517874381.924159,6,20,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +34956207-2ebf-4a47-bc56-faf23701adf2,['infiltration'],00007157_030.png,1.2.276.0.7230010.3.1.2.8323329.14773.1517874381.801374,30,36,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +89218251-8007-42b6-8099-324efa7c75f6,['no finding'],00015714_000.png,1.2.276.0.7230010.3.1.2.8323329.14778.1517874381.826327,0,25,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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'infiltration']",00025505_003.png,1.2.276.0.7230010.3.1.2.8323329.14805.1517874381.952644,3,44,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9b5ca700-e7f9-4c72-ae12-c1ff11d6b0b3,"['atelectasis', 'infiltration', 'pleural_thickening']",00019718_003.png,1.2.276.0.7230010.3.1.2.8323329.14807.1517874381.977687,3,53,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6690649e-0fca-456a-8da7-a364b0acde85,['atelectasis'],00009390_001.png,1.2.276.0.7230010.3.1.2.8323329.14809.1517874382.3303,1,44,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d24938f9-d045-4c32-9f52-90a9543d88cc,['nodule'],00026412_011.png,1.2.276.0.7230010.3.1.2.8323329.14806.1517874381.959831,11,24,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b74efb23-b6ac-4f62-bdbf-40cdf14edc5d,['nodule'],00015521_000.png,1.2.276.0.7230010.3.1.2.8323329.14808.1517874381.987882,0,85,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +a3a2bb07-b700-4ce4-824c-03859b93e5b3,"['atelectasis', 'consolidation', 'effusion', 'infiltration']",00030300_012.png,1.2.276.0.7230010.3.1.2.8323329.14881.1517874382.335579,12,53,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +5675fd06-eb6c-49a2-b3a3-0df515e9a266,['infiltration'],00022604_008.png,1.2.276.0.7230010.3.1.2.8323329.14885.1517874382.356814,8,26,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +c9c114a1-5ddf-4460-855c-25dac3ae7289,"['atelectasis', 'emphysema', 'fibrosis', 'infiltration']",00014849_003.png,1.2.276.0.7230010.3.1.2.8323329.14889.1517874382.387467,3,58,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c9fcc6cb-f369-441f-a2fa-8b92dc981f93,['fibrosis'],00012572_003.png,1.2.276.0.7230010.3.1.2.8323329.14897.1517874382.431989,3,66,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d459c288-923c-4e28-b887-52a0af807d27,['no 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +fefdd549-9fbd-4e90-a7e4-4a0d2d4466d6,"['fibrosis', 'infiltration']",00007247_001.png,1.2.276.0.7230010.3.1.2.8323329.15211.1517874384.318246,1,68,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ce2c3633-e469-4078-9c51-fb6184c36bc5,"['consolidation', 'mass']",00030159_004.png,1.2.276.0.7230010.3.1.2.8323329.15194.1517874384.243153,4,38,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +334c4445-63ce-401a-a1a2-1a467901a1ae,"['cardiomegaly', 'consolidation']",00003989_023.png,1.2.276.0.7230010.3.1.2.8323329.15201.1517874384.267662,23,59,F,PA,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +bcae9b11-3c51-4d39-b9ec-62e840a8dc64,"['atelectasis', 'consolidation', 'effusion', 'infiltration', 'pneumothorax']",00007670_037.png,1.2.276.0.7230010.3.1.2.8323329.15206.1517874384.297863,37,46,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +06250f9d-5ad9-44ca-9283-dbf787e2ad22,"['atelectasis', 'infiltration']",00011850_013.png,1.2.276.0.7230010.3.1.2.8323329.15234.1517874384.465189,13,40,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +b3e77c82-8f60-42bc-b792-cf201fe15060,['infiltration'],00014285_011.png,1.2.276.0.7230010.3.1.2.8323329.15257.1517874384.606212,11,65,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +66270ceb-178f-4649-9193-d09b07ec5670,['no finding'],00005101_004.png,1.2.276.0.7230010.3.1.2.8323329.15228.1517874384.439352,4,53,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ccee8914-7408-422f-9800-c86f5e906939,"['infiltration', 'nodule']",00000174_001.png,1.2.276.0.7230010.3.1.2.8323329.15236.1517874384.464735,1,71,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +40de7d48-6a58-44e5-bfe0-1300057f8d85,"['atelectasis', 'fibrosis']",00021292_000.png,1.2.276.0.7230010.3.1.2.8323329.15245.1517874384.531521,0,46,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b86479a1-e997-4026-acfc-2d467291eb50,['edema'],00013205_005.png,1.2.276.0.7230010.3.1.2.8323329.15252.1517874384.580908,5,41,F,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +54a32eda-f948-43a5-8cce-be83396589ad,"['effusion', 'infiltration']",00029959_000.png,1.2.276.0.7230010.3.1.2.8323329.15230.1517874384.435154,0,74,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +799c13e6-dff4-4c52-9aaf-b9ea6daeacb1,"['atelectasis', 'effusion']",00018404_006.png,1.2.276.0.7230010.3.1.2.8323329.15237.1517874384.469277,6,69,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +bcaa0edc-16d6-44b7-b548-91ddf6ed5cec,"['effusion', 'infiltration']",00008217_001.png,1.2.276.0.7230010.3.1.2.8323329.15242.1517874384.516851,1,63,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +ba95191c-8de1-42ae-a0eb-806cffb757f1,['no finding'],00014827_007.png,1.2.276.0.7230010.3.1.2.8323329.15232.1517874384.461514,7,48,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +74f69a44-9224-4c14-a6a4-cffef6d1a757,"['effusion', 'pneumothorax']",00022837_019.png,1.2.276.0.7230010.3.1.2.8323329.15258.1517874384.608385,19,66,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3ff0bd8f-7257-4ba9-a4ae-ae0c9f9138d7,"['cardiomegaly', 'effusion', 'infiltration', 'pleural_thickening']",00010693_026.png,1.2.276.0.7230010.3.1.2.8323329.15264.1517874384.653041,26,21,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +0696a98e-35fc-4b3a-b708-4be9cb2b9ab0,['effusion'],00003361_009.png,1.2.276.0.7230010.3.1.2.8323329.15268.1517874384.687278,9,52,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +cf325673-d513-41e7-99de-2d3573e782b4,"['edema', 'infiltration']",00020826_002.png,1.2.276.0.7230010.3.1.2.8323329.15238.1517874384.504424,2,22,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6bbaf85d-e321-4e84-9524-4859004a661c,['no finding'],00022020_000.png,1.2.276.0.7230010.3.1.2.8323329.15253.1517874384.579187,0,31,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +81db3f62-a064-4fe7-a2a0-ead02735e483,['no finding'],00005812_001.png,1.2.276.0.7230010.3.1.2.8323329.15261.1517874384.623995,1,37,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +872bba5f-f2b0-46c2-9f27-af68b636a985,"['atelectasis', 'pneumonia']",00004808_003.png,1.2.276.0.7230010.3.1.2.8323329.15239.1517874384.486850,3,31,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +172062d8-d20b-4900-9627-d4855e2a3630,['infiltration'],00029703_001.png,1.2.276.0.7230010.3.1.2.8323329.15241.1517874384.518853,1,75,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +90615fc6-3ecf-4153-99ad-c8ff181439eb,"['atelectasis', 'emphysema', 'infiltration', 'pneumothorax']",00021236_002.png,1.2.276.0.7230010.3.1.2.8323329.15255.1517874384.583802,2,65,M,PA,False,No Lung Opacity / Not 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Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +5b453624-5786-4722-9dc4-526884147006,"['effusion', 'infiltration']",00017258_020.png,1.2.276.0.7230010.3.1.2.8323329.15275.1517874384.728940,20,22,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +34ba0b9f-640e-4e8d-9f60-3e6094cd3e50,"['atelectasis', 'pneumonia']",00013894_005.png,1.2.276.0.7230010.3.1.2.8323329.15291.1517874384.819708,5,21,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +8b0cf1ed-4b24-4bcf-9474-d7d2716382db,['infiltration'],00001372_000.png,1.2.276.0.7230010.3.1.2.8323329.15292.1517874384.839927,0,58,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f1a00c86-9e7d-4f1e-830c-3d974a9577aa,"['consolidation', 'infiltration']",00000179_005.png,1.2.276.0.7230010.3.1.2.8323329.15263.1517874384.629263,5,63,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e2ed7974-8291-457d-af46-2256ab625f46,"['atelectasis', 'consolidation', 'effusion', 'infiltration', 'mass', 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1]",True +639ee516-a6a1-493f-b718-bdde59f6eef6,['no finding'],00004558_000.png,1.2.276.0.7230010.3.1.2.8323329.15274.1517874384.716268,0,69,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a5989832-33f6-47eb-b0ce-a05239bfa5f3,"['infiltration', 'nodule']",00027980_000.png,1.2.276.0.7230010.3.1.2.8323329.15282.1517874384.760625,0,21,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c1e3eb82-c55a-471f-a57f-fe1a823469da,"['atelectasis', 'hernia', 'pleural_thickening']",00022310_000.png,1.2.276.0.7230010.3.1.2.8323329.15285.1517874384.800965,0,75,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +bc6610c2-608c-4f95-8bb9-35d81cb3c81b,['effusion'],00016074_006.png,1.2.276.0.7230010.3.1.2.8323329.15270.1517874384.694509,6,43,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e397dc92-c9c8-4b93-b8fd-831514c74254,['effusion'],00030070_000.png,1.2.276.0.7230010.3.1.2.8323329.15289.1517874384.801365,0,52,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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'effusion']",00006039_017.png,1.2.276.0.7230010.3.1.2.8323329.15335.1517874385.160146,17,59,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d60a469e-7d06-432d-88b5-3ad8f25c3548,['no finding'],00010594_003.png,1.2.276.0.7230010.3.1.2.8323329.15280.1517874384.756774,3,16,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5f21b7ba-bc55-4b8b-8cc9-bb7332e3930b,['no finding'],00015329_000.png,1.2.276.0.7230010.3.1.2.8323329.15297.1517874384.900798,0,49,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9f296b8c-fa45-4914-a69e-900ae19118ba,['infiltration'],00023120_001.png,1.2.276.0.7230010.3.1.2.8323329.15345.1517874385.210182,1,22,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8340b291-b5ca-46d3-88e4-7335230d2922,['no finding'],00011606_010.png,1.2.276.0.7230010.3.1.2.8323329.15281.1517874384.757540,10,34,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,1.0,1.0,1.0,1.0,[1],True +43e9313d-47be-4c69-8b6f-655d6404d7f0,['no finding'],00005896_001.png,1.2.276.0.7230010.3.1.2.8323329.15306.1517874384.972004,1,55,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8b04816f-bfda-40ea-83da-d7471bae81bf,['infiltration'],00028464_000.png,1.2.276.0.7230010.3.1.2.8323329.15344.1517874385.205523,0,50,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +58e1adb7-f566-4e03-8770-43a36d3b44b3,"['consolidation', 'mass']",00016778_047.png,1.2.276.0.7230010.3.1.2.8323329.15349.1517874385.232982,47,21,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9de7304a-bda3-4aa7-8002-c7b1b662745d,['infiltration'],00010544_030.png,1.2.276.0.7230010.3.1.2.8323329.15304.1517874384.968626,30,33,F,AP,True,Lung Opacity,1.5,1.0,2.0,2.0,"[2, 1]",False +8be6c294-7297-4b1c-947d-11816b0ad1e4,['no finding'],00013695_002.png,1.2.276.0.7230010.3.1.2.8323329.15310.1517874384.997149,2,57,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Opacity,2.0,2.0,2.0,1.0,[2],False +c789e7c5-9284-4628-b172-cdc67226426c,['no finding'],00009295_000.png,1.2.276.0.7230010.3.1.2.8323329.15861.1517874393.451072,0,47,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +487edeef-e98d-4345-8714-928854d83143,['infiltration'],00009012_008.png,1.2.276.0.7230010.3.1.2.8323329.15884.1517874393.567861,8,54,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6315452d-0bb8-45ef-8578-084e49698755,"['infiltration', 'nodule']",00006736_000.png,1.2.276.0.7230010.3.1.2.8323329.15893.1517874393.604219,0,52,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +19e505bb-7c9f-43e7-af1e-79c6dec095b3,['no finding'],00018773_003.png,1.2.276.0.7230010.3.1.2.8323329.15864.1517874393.471138,3,74,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e10a4dfe-00aa-4a32-b45c-a069cede1701,"['atelectasis', 'infiltration', 'mass', 'pneumonia']",00010924_003.png,1.2.276.0.7230010.3.1.2.8323329.15879.1517874393.551971,3,62,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c504018d-eaa1-4b91-a28b-b250ce9861ae,['infiltration'],00010901_000.png,1.2.276.0.7230010.3.1.2.8323329.15866.1517874393.473082,0,48,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +16dc124a-6316-41a3-bf19-2f2346e56f7c,['effusion'],00013379_001.png,1.2.276.0.7230010.3.1.2.8323329.15870.1517874393.494255,1,19,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +be69781f-fad1-4a78-b139-5d531f382123,"['atelectasis', 'effusion', 'infiltration']",00016587_016.png,1.2.276.0.7230010.3.1.2.8323329.15867.1517874393.480992,16,48,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5108e8f1-4fe1-4a72-a499-7dd904016839,"['effusion', 'infiltration', 'pneumothorax']",00025252_033.png,1.2.276.0.7230010.3.1.2.8323329.15873.1517874393.506885,33,30,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d96f68ff-15c8-4e7b-b943-729053f1ce16,"['effusion', 'emphysema', 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finding'],00013625_063.png,1.2.276.0.7230010.3.1.2.8323329.15892.1517874393.601681,63,65,M,PA,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +4dbc44ca-694a-4814-9a24-bc60c8d8d611,"['effusion', 'infiltration']",00030573_009.png,1.2.276.0.7230010.3.1.2.8323329.15899.1517874393.650953,9,26,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +d97e8a59-7b93-45cc-a201-40b5e503d760,['no finding'],00024978_000.png,1.2.276.0.7230010.3.1.2.8323329.15895.1517874393.628453,0,35,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +60468442-6153-4100-b896-04c6d2b59fad,['pneumothorax'],00019894_000.png,1.2.276.0.7230010.3.1.2.8323329.15903.1517874393.669986,0,61,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +0618a5bc-196d-4afc-9ac4-d0aa940c6e03,"['consolidation', 'effusion']",00014332_004.png,1.2.276.0.7230010.3.1.2.8323329.15896.1517874393.624881,4,27,F,AP,True,Lung Opacity,3.0,3.0,3.0,1.0,[3],False 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finding'],00013641_005.png,1.2.276.0.7230010.3.1.2.8323329.15910.1517874393.712501,5,39,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +881f71ae-f4c0-4747-9ce6-f51e9fb5e759,"['consolidation', 'effusion']",00020725_026.png,1.2.276.0.7230010.3.1.2.8323329.15920.1517874393.779791,26,50,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d15c9821-189e-42c0-89e4-48e30067f658,"['atelectasis', 'pleural_thickening']",00022826_017.png,1.2.276.0.7230010.3.1.2.8323329.15912.1517874393.736198,17,62,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +59254a1a-d70a-4481-a46c-a0fb66dca995,['infiltration'],00003194_000.png,1.2.276.0.7230010.3.1.2.8323329.15918.1517874393.764943,0,48,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f2b4e7b9-b338-41e3-860c-fc0b5c2d077e,['pleural_thickening'],00003046_002.png,1.2.276.0.7230010.3.1.2.8323329.15913.1517874393.735192,2,72,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,1.0,1.0,1.0,1.0,[1],True +8c066a8e-7fc4-40f6-b9dd-b979a58801cc,"['atelectasis', 'emphysema', 'infiltration']",00013111_071.png,1.2.276.0.7230010.3.1.2.8323329.16089.1517874394.696208,71,21,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9e9fe9c5-cdff-4b89-85ca-734f96d7fe48,"['atelectasis', 'cardiomegaly', 'effusion', 'infiltration']",00020312_006.png,1.2.276.0.7230010.3.1.2.8323329.16093.1517874394.717716,6,38,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +4e8486ee-7248-4880-829f-e247fcc9175a,['no finding'],00014102_002.png,1.2.276.0.7230010.3.1.2.8323329.16112.1517874394.802070,2,55,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +2449f649-1a19-40b4-8d17-bd6f272377bb,"['atelectasis', 'effusion', 'infiltration']",00004968_004.png,1.2.276.0.7230010.3.1.2.8323329.16096.1517874394.741929,4,70,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +baac301e-08a6-4267-a17a-78e3fcb23f21,"['cardiomegaly', 'edema', 'effusion']",00004893_057.png,1.2.276.0.7230010.3.1.2.8323329.16101.1517874394.762631,57,32,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +6b0cc08a-825e-4396-9aea-6d9548f87cc7,"['consolidation', 'edema']",00018387_025.png,1.2.276.0.7230010.3.1.2.8323329.16116.1517874394.821436,25,57,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +57cc1c1c-38ef-4f28-9615-87efb6e24be0,['infiltration'],00012280_004.png,1.2.276.0.7230010.3.1.2.8323329.16127.1517874394.870122,4,53,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +660423bf-1b7b-43d8-9d9a-ec96ea1afc1b,"['atelectasis', 'pneumonia']",00022178_000.png,1.2.276.0.7230010.3.1.2.8323329.16103.1517874394.763597,0,67,M,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +2c7ce8e8-56b1-43a7-b955-7e9669ecab45,['no finding'],00014996_011.png,1.2.276.0.7230010.3.1.2.8323329.16108.1517874394.799697,11,50,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ed22ed38-a90b-461b-bf5c-5e765c946d63,['effusion'],00013576_005.png,1.2.276.0.7230010.3.1.2.8323329.16120.1517874394.838877,5,60,M,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +631a8b00-6e26-4aa5-be89-c55cc343382c,"['infiltration', 'pneumothorax']",00018610_054.png,1.2.276.0.7230010.3.1.2.8323329.16139.1517874394.957004,54,64,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +4c2a3eec-38e9-459a-980c-545d0c50f7bf,"['edema', 'nodule']",00012364_043.png,1.2.276.0.7230010.3.1.2.8323329.16107.1517874394.798790,43,53,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +a8210872-bb21-4b98-b05b-b15c33aec50a,['no finding'],00013425_001.png,1.2.276.0.7230010.3.1.2.8323329.16118.1517874394.833222,1,29,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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finding'],00012884_000.png,1.2.276.0.7230010.3.1.2.8323329.16134.1517874394.934912,0,22,M,PA,True,Lung Opacity,3.0,3.0,3.0,2.0,"[3, 3]",False +a6cbb3dd-75ab-4671-a6b0-9a51c04a81ec,['infiltration'],00019018_005.png,1.2.276.0.7230010.3.1.2.8323329.16111.1517874394.794179,5,28,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +7f5b9640-bd17-41d8-afb6-57f02684ef19,['no finding'],00020853_002.png,1.2.276.0.7230010.3.1.2.8323329.16124.1517874394.857066,2,39,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e191c1c9-94e8-48fe-8ad3-bda04a74a905,"['edema', 'infiltration']",00023309_019.png,1.2.276.0.7230010.3.1.2.8323329.16133.1517874394.912545,19,67,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +96ed9839-9487-4700-bff1-d56aca5c00e2,['infiltration'],00006600_002.png,1.2.276.0.7230010.3.1.2.8323329.16135.1517874394.937910,2,72,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +612b6527-d54b-4d84-9915-a36bfdc7901d,['consolidation'],00012045_015.png,1.2.276.0.7230010.3.1.2.8323329.16193.1517874395.281438,15,43,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +fefb28ce-8006-4fca-af2b-5dc1a4290772,['nodule'],00011982_000.png,1.2.276.0.7230010.3.1.2.8323329.16128.1517874394.879974,0,68,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +557ab975-0426-4746-a88f-872ef5675134,['consolidation'],00019919_019.png,1.2.276.0.7230010.3.1.2.8323329.16136.1517874394.939923,19,52,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +65de4a3b-28e1-4574-a691-47b6dccf5dba,"['infiltration', 'mass']",00014586_003.png,1.2.276.0.7230010.3.1.2.8323329.16164.1517874395.137216,3,37,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8c80ee20-1e1e-400f-b727-9cfd07213c13,['no finding'],00006613_000.png,1.2.276.0.7230010.3.1.2.8323329.16130.1517874394.897471,0,38,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d59cc59e-bba4-40ad-8555-baa94c55748c,"['consolidation', 'infiltration']",00000583_011.png,1.2.276.0.7230010.3.1.2.8323329.16142.1517874394.976775,11,40,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +32261a33-4fb0-4222-bd6a-29532bfbd7df,"['atelectasis', 'effusion']",00017188_002.png,1.2.276.0.7230010.3.1.2.8323329.16147.1517874395.10138,2,61,F,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +7d8bf313-e312-43c1-bf6c-249b316dedf3,['pneumothorax'],00020773_006.png,1.2.276.0.7230010.3.1.2.8323329.16138.1517874394.956067,6,20,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +40af1ae1-9caf-4e7a-9875-fb5e7eeb20cd,['no finding'],00027114_000.png,1.2.276.0.7230010.3.1.2.8323329.16162.1517874395.136306,0,31,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +74365fa5-5597-4353-9cf6-da8769145d55,['nodule'],00006233_001.png,1.2.276.0.7230010.3.1.2.8323329.16141.1517874394.968986,1,43,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +62d2cb35-a998-4a35-992c-8ab5fa03958f,['infiltration'],00019785_027.png,1.2.276.0.7230010.3.1.2.8323329.16145.1517874394.995772,27,58,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +673989cb-131a-43fc-8276-710c65ddb2d6,"['effusion', 'infiltration']",00005094_011.png,1.2.276.0.7230010.3.1.2.8323329.16149.1517874395.17931,11,56,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +abfa0725-2fe4-4621-b696-b256d126f404,"['effusion', 'pneumothorax']",00018055_026.png,1.2.276.0.7230010.3.1.2.8323329.16152.1517874395.41818,26,64,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +73bf15b5-58dd-4aa2-974f-2749e0a5fd92,['no finding'],00027140_000.png,1.2.276.0.7230010.3.1.2.8323329.16143.1517874394.986783,0,17,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +64b7fa2e-e407-47c9-ab91-5bc5f3f1cd26,"['infiltration', 'pneumothorax']",00001698_019.png,1.2.276.0.7230010.3.1.2.8323329.16200.1517874395.348939,19,28,M,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +fa7f8cee-db31-4015-92c8-25d3f792c179,['no finding'],00013925_000.png,1.2.276.0.7230010.3.1.2.8323329.16144.1517874394.982039,0,36,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +338e80a6-7b26-4133-b051-a40e063d39a3,['no finding'],00014398_024.png,1.2.276.0.7230010.3.1.2.8323329.16161.1517874395.115804,24,56,F,AP,True,Lung Opacity,2.0,2.0,2.0,3.0,"[2, 2, 2]",False +ca3c90e4-f7fe-4f6e-b20b-81473deab4f0,"['consolidation', 'pleural_thickening']",00012810_003.png,1.2.276.0.7230010.3.1.2.8323329.16168.1517874395.168759,3,49,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d4a31817-cd95-46ad-b41d-9350faa087c8,"['edema', 'infiltration']",00012993_018.png,1.2.276.0.7230010.3.1.2.8323329.16212.1517874395.397287,18,34,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +536f9eb3-512f-4d68-a28f-dbf8233b157f,"['atelectasis', 'mass']",00019475_005.png,1.2.276.0.7230010.3.1.2.8323329.16188.1517874395.258980,5,44,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +27036455-3da7-42f5-a0ef-ba2805d06e79,"['atelectasis', 'infiltration']",00005226_000.png,1.2.276.0.7230010.3.1.2.8323329.16204.1517874395.355223,0,34,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +cf4acaef-abef-4341-a4f2-e1689d804d3e,['infiltration'],00003459_012.png,1.2.276.0.7230010.3.1.2.8323329.16211.1517874395.394239,12,52,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +3839ce1a-14c9-40db-9f31-53c84760f1aa,['no 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Opacity,2.0,2.0,2.0,1.0,[2],False +de0ee373-dd0c-4f75-aa2c-c356d203696e,"['infiltration', 'mass']",00013670_082.png,1.2.276.0.7230010.3.1.2.8323329.16460.1517874397.706303,82,56,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +f248f5a2-490d-4711-9ae7-6c9b14beab2e,['infiltration'],00017044_009.png,1.2.276.0.7230010.3.1.2.8323329.16481.1517874397.809950,9,19,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b8b49aa8-a927-48c8-8ff5-dfb833f3caba,"['consolidation', 'edema']",00001549_014.png,1.2.276.0.7230010.3.1.2.8323329.16456.1517874397.686040,14,57,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a6540b20-026b-44b4-ab0e-2da2ffa087f6,['infiltration'],00006605_042.png,1.2.276.0.7230010.3.1.2.8323329.16463.1517874397.709977,42,25,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,2.0,"[1, 1]",True +401afe9b-4c20-41cc-b52d-21995c71e872,"['atelectasis', 'consolidation', 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finding'],00020853_000.png,1.2.276.0.7230010.3.1.2.8323329.16589.1517874398.419870,0,40,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6073d6f5-d5d8-4b0c-911a-9b8374dd1348,['no finding'],00006486_000.png,1.2.276.0.7230010.3.1.2.8323329.16593.1517874398.442518,0,16,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7c897de5-15ff-405c-a77c-c588e7e151c0,['emphysema'],00029708_000.png,1.2.276.0.7230010.3.1.2.8323329.16602.1517874398.492198,0,76,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ebdce9e1-beba-4412-aa86-9b65c0e1f40d,['nodule'],00020921_001.png,1.2.276.0.7230010.3.1.2.8323329.16606.1517874398.519269,1,55,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5b9dbcce-4621-4180-bd1d-805b3ce9d7e0,"['infiltration', 'nodule']",00021699_001.png,1.2.276.0.7230010.3.1.2.8323329.16603.1517874398.506457,1,35,M,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +09d41130-fc56-4a25-96f0-862f00a790cb,['no finding'],00001373_000.png,1.2.276.0.7230010.3.1.2.8323329.16609.1517874398.531484,0,53,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e56ccd69-f456-4b20-8b39-d369c3b0164a,['no finding'],00026234_000.png,1.2.276.0.7230010.3.1.2.8323329.16625.1517874398.605038,0,49,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +06e09ebb-cb5b-4c30-8d3a-67a6ec34692b,['infiltration'],00008745_022.png,1.2.276.0.7230010.3.1.2.8323329.16657.1517874398.799633,22,46,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +892350c2-ef10-4145-95cc-4c5a248b4239,['no finding'],00012520_003.png,1.2.276.0.7230010.3.1.2.8323329.16615.1517874398.570649,3,69,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +fc246d66-ec6a-4aec-9477-c0366d1c1b09,['no finding'],00014721_002.png,1.2.276.0.7230010.3.1.2.8323329.16632.1517874398.645063,2,68,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +fff1cc9c-3895-43be-84e1-a7aaef21002b,"['fibrosis', 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +998d42fc-c4c6-4e99-92a6-8a99eb1faa72,['emphysema'],00000254_002.png,1.2.276.0.7230010.3.1.2.8323329.16641.1517874398.692384,2,65,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a0cab4f1-4159-44fb-ad3a-20d53762c454,['no finding'],00021711_010.png,1.2.276.0.7230010.3.1.2.8323329.16666.1517874398.846820,10,71,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +813a9141-d54b-4fca-a46e-2499e8065495,"['effusion', 'pneumothorax']",00015078_006.png,1.2.276.0.7230010.3.1.2.8323329.16634.1517874398.654344,6,53,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +dbc8473e-fc37-4b23-9051-c1a0a1baf5a3,"['edema', 'emphysema']",00011960_011.png,1.2.276.0.7230010.3.1.2.8323329.16645.1517874398.722385,11,67,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +b541091c-8437-407d-be64-2440a01b33e8,"['fibrosis', 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +be5d92d6-f2b3-483c-842c-aff4571ee8a7,['infiltration'],00008522_047.png,1.2.276.0.7230010.3.1.2.8323329.16665.1517874398.833916,47,61,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +cdf38d9b-d871-4c34-a589-319491db508c,['no finding'],00022914_002.png,1.2.276.0.7230010.3.1.2.8323329.16670.1517874398.857424,2,36,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +eef6b62e-1b3f-4729-9555-9b86a49f7053,['atelectasis'],00009352_000.png,1.2.276.0.7230010.3.1.2.8323329.16673.1517874398.889303,0,58,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +52a5cd5f-3a94-40f5-bfbb-6a5bddba5848,['infiltration'],00014947_000.png,1.2.276.0.7230010.3.1.2.8323329.16653.1517874398.771827,0,42,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ff0090ff-4acb-4dc6-a937-86fa8f5e74da,['infiltration'],00018883_000.png,1.2.276.0.7230010.3.1.2.8323329.16656.1517874398.796818,0,49,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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finding'],00002410_004.png,1.2.276.0.7230010.3.1.2.8323329.17208.1517874402.821918,4,43,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +afeacaf9-b9e4-4f0d-a200-17b94ac64b9a,['no finding'],00011340_000.png,1.2.276.0.7230010.3.1.2.8323329.17223.1517874402.894255,0,34,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +15caed66-ea48-488f-8c54-4f6debd7645d,['infiltration'],00022449_000.png,1.2.276.0.7230010.3.1.2.8323329.17232.1517874402.976284,0,61,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9e914ce0-b0c9-4b09-8e1e-51419da4befc,['pneumothorax'],00011460_015.png,1.2.276.0.7230010.3.1.2.8323329.17199.1517874402.770767,15,16,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b21e0de5-4fee-4584-9ee1-31af96400c21,"['cardiomegaly', 'infiltration']",00016414_001.png,1.2.276.0.7230010.3.1.2.8323329.17203.1517874402.795451,1,39,M,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False 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Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +848a75c0-f225-406c-ace5-4c8589cc2368,['infiltration'],00006296_016.png,1.2.276.0.7230010.3.1.2.8323329.17205.1517874402.802283,16,15,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +f35df256-c4bf-4767-b9ab-bdf429af9903,['no finding'],00005510_000.png,1.2.276.0.7230010.3.1.2.8323329.17210.1517874402.825064,0,54,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d3a0da1a-8289-4fca-ae3c-6894d4f3c108,['infiltration'],00018237_004.png,1.2.276.0.7230010.3.1.2.8323329.17225.1517874402.913188,4,34,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +cb11045d-5c29-4b85-bc0f-d5aa621e58a2,['no finding'],00012233_009.png,1.2.276.0.7230010.3.1.2.8323329.17228.1517874402.943132,9,25,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3f2ec62d-8a48-475e-b6f2-ad2f87ccd631,"['infiltration', 'pneumothorax']",00010790_003.png,1.2.276.0.7230010.3.1.2.8323329.17214.1517874402.847891,3,55,F,PA,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False 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finding'],00014149_008.png,1.2.276.0.7230010.3.1.2.8323329.17237.1517874402.999013,8,59,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +c9cf503d-a272-4cbd-802e-8d7bb2167794,"['effusion', 'infiltration']",00004360_006.png,1.2.276.0.7230010.3.1.2.8323329.17241.1517874403.28106,6,76,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b1185bf9-79d4-4497-ac44-cd2581128f5b,['infiltration'],00004917_010.png,1.2.276.0.7230010.3.1.2.8323329.17246.1517874403.49720,10,49,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +a0e4d764-537c-4dcb-a976-d15c6abd87ce,['nodule'],00008068_012.png,1.2.276.0.7230010.3.1.2.8323329.17234.1517874402.970632,12,41,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +bb65756f-f78d-412a-b5e6-c7fe81c9eb4b,"['effusion', 'pneumonia']",00009858_001.png,1.2.276.0.7230010.3.1.2.8323329.17244.1517874403.48405,1,48,F,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False 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finding'],00007307_004.png,1.2.276.0.7230010.3.1.2.8323329.17367.1517874403.726624,4,37,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a3a3b1ab-17d0-44e2-9e7a-48f78e3bcb1c,['no finding'],00008515_001.png,1.2.276.0.7230010.3.1.2.8323329.17378.1517874403.792743,1,49,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +bfc8780a-6911-4006-a427-0898ccd3a5f9,"['infiltration', 'nodule']",00011033_002.png,1.2.276.0.7230010.3.1.2.8323329.17324.1517874403.486171,2,42,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +143b3fc0-c4b4-4e21-8095-7c3fab18c39b,['no finding'],00013985_000.png,1.2.276.0.7230010.3.1.2.8323329.17329.1517874403.516022,0,55,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8eeec5b7-c69f-4299-900a-a10668cc1efe,['effusion'],00021972_030.png,1.2.276.0.7230010.3.1.2.8323329.17342.1517874403.570615,30,49,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c4a2d840-1173-41f8-9edd-66dd47e32eba,"['atelectasis', 'effusion']",00009845_035.png,1.2.276.0.7230010.3.1.2.8323329.17355.1517874403.648150,35,58,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +01adfd2f-7bc7-4cef-ab68-a0992752b620,"['atelectasis', 'infiltration']",00012364_037.png,1.2.276.0.7230010.3.1.2.8323329.17331.1517874403.517263,37,53,F,AP,True,Lung Opacity,1.5,1.0,2.0,2.0,"[1, 2]",False +2a5c0a25-eb3f-49dc-b47f-5b2b4e0c59ef,['no finding'],00030426_000.png,1.2.276.0.7230010.3.1.2.8323329.17343.1517874403.561891,0,29,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e0a5b2f9-62b6-421c-85b7-dde8274df94a,"['atelectasis', 'effusion', 'infiltration', 'nodule']",00010828_063.png,1.2.276.0.7230010.3.1.2.8323329.17359.1517874403.682639,63,45,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c7215e8b-1a56-4d3f-910f-fb187ec0e672,['mass'],00022772_001.png,1.2.276.0.7230010.3.1.2.8323329.17364.1517874403.712302,1,43,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,1.0,1.0,1.0,2.0,"[1, 1]",True +a34f8423-e21c-48cb-8f9c-c8a060028dcf,['no finding'],00012993_007.png,1.2.276.0.7230010.3.1.2.8323329.17360.1517874403.678421,7,34,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6fe00714-ca20-4d40-96e6-db53c5c600df,['no finding'],00017236_042.png,1.2.276.0.7230010.3.1.2.8323329.17377.1517874403.781667,42,46,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +09875c3b-c520-4b08-89b0-a7a7299c37b2,"['effusion', 'mass']",00017243_008.png,1.2.276.0.7230010.3.1.2.8323329.17388.1517874403.856950,8,14,F,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +c3ce51d2-26b0-4996-aaef-5e4886de4c24,['no finding'],00023250_000.png,1.2.276.0.7230010.3.1.2.8323329.17337.1517874403.532051,0,70,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f02e36df-ac4d-43f1-8001-3e0494145b0a,"['infiltration', 'mass']",00020499_003.png,1.2.276.0.7230010.3.1.2.8323329.17358.1517874403.669124,3,24,M,AP,True,Lung Opacity,3.0,3.0,3.0,2.0,"[3, 3]",False 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'mass']",00000618_005.png,1.2.276.0.7230010.3.1.2.8323329.17517.1517874404.499731,5,53,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +4b42e5ba-47c2-44dc-9ebe-9c43d4ace958,['pneumothorax'],00001756_016.png,1.2.276.0.7230010.3.1.2.8323329.17522.1517874404.523009,16,53,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +98e9931d-aac7-43d5-abc6-33cfc6582861,['infiltration'],00026956_000.png,1.2.276.0.7230010.3.1.2.8323329.17505.1517874404.431229,0,33,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a35df48c-325d-4b85-8f4d-5b96e886634e,"['effusion', 'infiltration']",00029526_000.png,1.2.276.0.7230010.3.1.2.8323329.17514.1517874404.473385,0,34,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +a98be04c-9a64-4abf-b38a-e500382f1d80,['cardiomegaly'],00006806_001.png,1.2.276.0.7230010.3.1.2.8323329.17519.1517874404.496247,1,48,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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finding'],00022440_000.png,1.2.276.0.7230010.3.1.2.8323329.17749.1517874405.917599,0,13,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +23bc2cd7-226a-4248-81e7-59816cdb3446,['no finding'],00013615_017.png,1.2.276.0.7230010.3.1.2.8323329.17721.1517874405.772508,17,10,F,PA,False,Normal,3.0,3.0,3.0,1.0,[3],True +d2d916f0-1674-4cdd-86a6-504e71b69995,"['consolidation', 'mass']",00013659_017.png,1.2.276.0.7230010.3.1.2.8323329.17727.1517874405.800168,17,62,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e646d2f7-cf8b-4dc1-9f4e-0bbee4e7bf28,['infiltration'],00020749_001.png,1.2.276.0.7230010.3.1.2.8323329.17752.1517874405.930209,1,43,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f91c1b44-d084-441a-83ef-97dc5a71cac8,['no finding'],00013575_003.png,1.2.276.0.7230010.3.1.2.8323329.17757.1517874405.953846,3,47,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +651181f3-a39a-4526-82d3-95d76f94e1f8,"['atelectasis', 'cardiomegaly', 'consolidation', 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Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +37c522d1-93b0-4b70-9cf7-3ae932a7a70e,['atelectasis'],00017835_007.png,1.2.276.0.7230010.3.1.2.8323329.17892.1517874407.84881,7,47,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b6b1bec8-7b77-470b-8c8b-0ed42482b347,['no finding'],00009559_000.png,1.2.276.0.7230010.3.1.2.8323329.17845.1517874406.453308,0,36,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d46b428d-9c61-4b2e-a0ff-bcc755ed4ffd,['pleural_thickening'],00007656_000.png,1.2.276.0.7230010.3.1.2.8323329.17849.1517874406.474888,0,81,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +56481000-ebf9-4006-9160-39a409d5a1ad,"['atelectasis', 'effusion', 'pleural_thickening']",00021047_007.png,1.2.276.0.7230010.3.1.2.8323329.17852.1517874406.496100,7,52,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6b5b8cfc-d9c1-4e7a-9808-648833c2a41d,['infiltration'],00011587_021.png,1.2.276.0.7230010.3.1.2.8323329.17864.1517874406.954213,21,41,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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'nodule']",00006197_000.png,1.2.276.0.7230010.3.1.2.8323329.18339.1517874409.930798,0,83,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +4a6f5410-4668-4cf8-9628-5b09dd40c527,"['consolidation', 'infiltration']",00013003_034.png,1.2.276.0.7230010.3.1.2.8323329.18369.1517874410.113154,34,37,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,2.0,"[1, 1]",True +3d099ea0-3e99-44b6-bfb8-5478f5e3e585,['no finding'],00003031_001.png,1.2.276.0.7230010.3.1.2.8323329.18256.1517874409.482927,1,50,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +dfb78d4a-4fb8-489b-a68c-864835f7f00a,['effusion'],00016728_003.png,1.2.276.0.7230010.3.1.2.8323329.18287.1517874409.662592,3,54,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +58aaec2f-31f1-42f3-964f-815347480fb6,"['atelectasis', 'effusion', 'infiltration']",00009327_002.png,1.2.276.0.7230010.3.1.2.8323329.18303.1517874409.760200,2,49,F,PA,True,Lung Opacity,1.5,1.0,2.0,2.0,"[2, 1]",False 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Opacity,3.0,3.0,3.0,1.0,[3],False +6eaa213b-37a9-4d44-a4ae-c802ecb64cad,['effusion'],00001248_017.png,1.2.276.0.7230010.3.1.2.8323329.18346.1517874409.987040,17,38,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f84a628a-75e6-403a-a15c-5dd0126fcc01,['no finding'],00010479_014.png,1.2.276.0.7230010.3.1.2.8323329.18364.1517874410.91953,14,29,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3dcd38ce-8adc-4c9b-92f7-768a33611f57,['mass'],00025110_015.png,1.2.276.0.7230010.3.1.2.8323329.18304.1517874409.760792,15,44,M,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +cf0f4eb7-c01f-4e8b-9dc2-8a95df37b8de,['no finding'],00010990_002.png,1.2.276.0.7230010.3.1.2.8323329.18320.1517874409.850199,2,33,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6bcef263-5b41-4aa0-8be7-42234e96aea4,['no finding'],00010693_020.png,1.2.276.0.7230010.3.1.2.8323329.18326.1517874409.871447,20,21,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +37f917c2-68e2-4e03-afed-1d4acf054498,['pneumothorax'],00001583_014.png,1.2.276.0.7230010.3.1.2.8323329.18345.1517874409.976795,14,17,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f05cd3fc-440d-48f0-912a-0f7a8d28e67d,"['consolidation', 'nodule']",00021128_001.png,1.2.276.0.7230010.3.1.2.8323329.18328.1517874409.879633,1,49,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3cb9b341-19cf-4973-b901-3e69ea74d88d,['infiltration'],00027685_007.png,1.2.276.0.7230010.3.1.2.8323329.18338.1517874409.924126,7,61,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e12cc2da-8324-45eb-a748-45a3924fdc93,['no finding'],00014941_000.png,1.2.276.0.7230010.3.1.2.8323329.18342.1517874409.945168,0,65,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +4df56375-c7ed-4402-9f8b-523a2f26ae5e,['pneumonia'],00003510_010.png,1.2.276.0.7230010.3.1.2.8323329.18331.1517874409.891893,10,38,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +318d7fc0-551e-4bf8-94c0-575c80a47957,['no finding'],00005599_004.png,1.2.276.0.7230010.3.1.2.8323329.18372.1517874410.133078,4,49,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ef44e62f-3555-462d-8911-d9f1ac5d446b,"['atelectasis', 'infiltration']",00017665_005.png,1.2.276.0.7230010.3.1.2.8323329.18354.1517874410.17555,5,55,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c681fe7c-61b6-4f94-a2d8-7790e0248d4a,['nodule'],00003851_005.png,1.2.276.0.7230010.3.1.2.8323329.18357.1517874410.39940,5,42,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e51897c6-933b-4ebb-aa97-ad71c7298de7,['atelectasis'],00018260_006.png,1.2.276.0.7230010.3.1.2.8323329.18366.1517874410.108316,6,21,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +95c36604-3772-4682-a875-93bf58e96727,['atelectasis'],00026478_005.png,1.2.276.0.7230010.3.1.2.8323329.18370.1517874410.130152,5,58,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5b32f81a-c96e-4f4b-bc7b-9b0b6861799e,['infiltration'],00013774_021.png,1.2.276.0.7230010.3.1.2.8323329.18355.1517874410.20895,21,77,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +188713c0-6005-47fd-a5b4-62d3c9119c0d,['infiltration'],00009953_026.png,1.2.276.0.7230010.3.1.2.8323329.18358.1517874410.44152,26,57,F,AP,True,Lung Opacity,2.5,2.0,3.0,2.0,"[3, 2]",False +9939aa18-de28-4614-b56a-6e99fb830a4f,['no finding'],00012184_003.png,1.2.276.0.7230010.3.1.2.8323329.18395.1517874410.274216,3,56,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a541be19-c9f6-487e-b615-d15042a246b1,['effusion'],00017258_009.png,1.2.276.0.7230010.3.1.2.8323329.18356.1517874410.22900,9,22,F,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +5a012222-e16b-402f-b759-efc86fb7c6ef,"['effusion', 'pneumothorax']",00012094_003.png,1.2.276.0.7230010.3.1.2.8323329.18389.1517874410.219246,3,63,F,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +e014a102-5db7-4d5d-b10a-819f180b96b2,['infiltration'],00012863_015.png,1.2.276.0.7230010.3.1.2.8323329.18399.1517874410.300465,15,40,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e79dc2fb-15d1-4ffb-a2c5-2236747918cb,['nodule'],00010516_001.png,1.2.276.0.7230010.3.1.2.8323329.18405.1517874410.337996,1,64,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +098906c5-cf22-43d3-9f0d-90e88e602090,['infiltration'],00018840_032.png,1.2.276.0.7230010.3.1.2.8323329.18362.1517874410.82654,32,21,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +8cddc2e8-0283-4be1-8fc4-b683cef00bbe,['infiltration'],00015606_035.png,1.2.276.0.7230010.3.1.2.8323329.18367.1517874410.108347,35,18,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +61cf3ee7-bf64-4376-8ade-0da34a802894,"['edema', 'infiltration']",00009892_004.png,1.2.276.0.7230010.3.1.2.8323329.18371.1517874410.130357,4,62,F,AP,False,No Lung Opacity / Not 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Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +8005e8b9-ab58-45e2-b902-8057864630af,"['consolidation', 'mass']",00019527_000.png,1.2.276.0.7230010.3.1.2.8323329.18882.1517874414.119281,0,67,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +b650a159-6f41-47ce-898a-c949d4182e9d,['no finding'],00004342_004.png,1.2.276.0.7230010.3.1.2.8323329.18886.1517874414.144329,4,42,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f02b8370-0e08-47af-b4d4-6dbb681f219e,"['consolidation', 'infiltration', 'pneumothorax']",00013814_009.png,1.2.276.0.7230010.3.1.2.8323329.18890.1517874414.182141,9,64,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +3bf902f7-375c-4403-8275-0e40aac684c2,"['consolidation', 'mass']",00010433_009.png,1.2.276.0.7230010.3.1.2.8323329.18884.1517874414.133586,9,21,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +382db3e8-f756-48c5-8def-e0630634a680,"['atelectasis', 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'infiltration']",00002032_002.png,1.2.276.0.7230010.3.1.2.8323329.18933.1517874414.387711,2,57,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +de459db0-6f34-4e0e-997c-178cbb9dfc89,['no finding'],00006321_004.png,1.2.276.0.7230010.3.1.2.8323329.18940.1517874414.412153,4,52,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +71d8d6ec-253b-4272-a467-311828b2a35b,['no finding'],00023649_000.png,1.2.276.0.7230010.3.1.2.8323329.18895.1517874414.208138,0,50,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6a5b9fe0-bcea-4f37-b2a5-df9b27793028,['nodule'],00020115_001.png,1.2.276.0.7230010.3.1.2.8323329.18908.1517874414.263435,1,51,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3d895c52-0627-42b3-ba67-41a08f387da0,['effusion'],00000963_024.png,1.2.276.0.7230010.3.1.2.8323329.18926.1517874414.342473,24,40,M,PA,True,Lung Opacity,2.0,2.0,2.0,3.0,"[2, 2, 2]",False 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Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9130c6ff-ef18-413c-af5b-7c7f8de455fc,['infiltration'],00000246_017.png,1.2.276.0.7230010.3.1.2.8323329.18918.1517874414.315907,17,51,M,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +a58cff2a-ad04-47aa-a93b-66091b5b584f,"['consolidation', 'infiltration', 'nodule']",00029670_002.png,1.2.276.0.7230010.3.1.2.8323329.18904.1517874414.264935,2,76,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +4e1224b9-e08a-4481-9a33-e73274103dbe,['no finding'],00017443_009.png,1.2.276.0.7230010.3.1.2.8323329.18914.1517874414.304863,9,27,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b44bd070-da9f-479d-8546-9497dfc15762,"['atelectasis', 'infiltration']",00010790_007.png,1.2.276.0.7230010.3.1.2.8323329.18927.1517874414.350275,7,56,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +1d1c3fb7-71d6-4104-8a93-320e4959bbdb,"['pleural_thickening', 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Opacity / Not Normal,1.0,1.0,1.0,2.0,"[1, 1]",True +67580792-919e-40f8-bcb4-9b869731feeb,['no finding'],00023964_000.png,1.2.276.0.7230010.3.1.2.8323329.18939.1517874414.410756,0,22,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9e658fac-3d66-46eb-b991-2e7f8b89e0c8,['no finding'],00008068_020.png,1.2.276.0.7230010.3.1.2.8323329.18950.1517874414.488838,20,42,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +09d868e6-ad0e-4a55-b8fd-cf46e84dd08b,"['atelectasis', 'cardiomegaly', 'effusion', 'infiltration']",00012686_003.png,1.2.276.0.7230010.3.1.2.8323329.18971.1517874414.594018,3,37,M,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +5b19f8e2-420c-42a8-82d5-5e1e5d30939b,"['consolidation', 'effusion']",00015956_011.png,1.2.276.0.7230010.3.1.2.8323329.18979.1517874414.622810,11,69,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +9d598377-c049-4aa2-a9b6-74f15b24424f,['no finding'],00010257_000.png,1.2.276.0.7230010.3.1.2.8323329.18944.1517874414.443837,0,40,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8c40a566-8a0a-4d7d-ac62-574c133d72de,['infiltration'],00006446_010.png,1.2.276.0.7230010.3.1.2.8323329.18948.1517874414.467649,10,67,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +6a8394ce-788f-45eb-9b3e-d49935f2d673,['infiltration'],00019528_008.png,1.2.276.0.7230010.3.1.2.8323329.18983.1517874414.643489,8,53,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5f8ed2f4-791c-4eb5-a0fc-3d5437f3ceb7,"['effusion', 'mass']",00013063_002.png,1.2.276.0.7230010.3.1.2.8323329.18990.1517874414.666861,2,72,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f36450a2-0184-4bd9-b168-a62bde57a6d4,['no finding'],00011906_000.png,1.2.276.0.7230010.3.1.2.8323329.18946.1517874414.462619,0,67,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b756be9b-d2d4-4132-b34f-f966a460a335,['no finding'],00006842_000.png,1.2.276.0.7230010.3.1.2.8323329.18961.1517874414.534060,0,62,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +977bd2ba-e5f8-4459-b48f-36dfe1afb215,"['atelectasis', 'consolidation']",00006741_006.png,1.2.276.0.7230010.3.1.2.8323329.18973.1517874414.611338,6,54,F,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +8d465467-46da-4d69-b364-f9ee71789607,['no finding'],00016602_000.png,1.2.276.0.7230010.3.1.2.8323329.18974.1517874414.601778,0,66,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +92c92a61-ce29-49ad-8c94-f7b104c37638,"['cardiomegaly', 'effusion']",00019026_000.png,1.2.276.0.7230010.3.1.2.8323329.18953.1517874414.492241,0,55,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b546ef2a-4a27-4d8f-a99e-d4a3ffe8baf0,['no finding'],00014730_001.png,1.2.276.0.7230010.3.1.2.8323329.18965.1517874414.557039,1,78,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +80582cf2-79e4-4dbc-bb99-69892d19b04f,"['fibrosis', 'nodule']",00005915_000.png,1.2.276.0.7230010.3.1.2.8323329.19054.1517874415.35745,0,61,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +05d4d725-02a2-4c90-8ef8-463217889ba8,['infiltration'],00006952_014.png,1.2.276.0.7230010.3.1.2.8323329.19068.1517874415.98570,14,31,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +6290b473-9935-4ef7-bb8c-3144e48377c0,"['emphysema', 'infiltration']",00012094_059.png,1.2.276.0.7230010.3.1.2.8323329.19047.1517874414.984205,59,63,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +f474bb81-46a6-47d0-a554-671ea5486861,['no finding'],00000168_000.png,1.2.276.0.7230010.3.1.2.8323329.19052.1517874415.20958,0,64,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +325d5974-1e30-4d27-8802-ac3cf1b02e81,"['atelectasis', 'effusion']",00005203_001.png,1.2.276.0.7230010.3.1.2.8323329.19066.1517874415.90205,1,55,F,AP,False,No Lung Opacity / 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Opacity,2.0,2.0,2.0,1.0,[2],False +6b013c90-ec73-4a7a-a607-17540c493e0f,"['consolidation', 'effusion', 'infiltration']",00004316_004.png,1.2.276.0.7230010.3.1.2.8323329.19069.1517874415.99749,4,45,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +67128833-fc5c-441a-8467-875a513e0bcf,['nodule'],00028088_005.png,1.2.276.0.7230010.3.1.2.8323329.19075.1517874415.140682,5,39,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +03b10fa5-e7c3-4726-818f-ecbace9da737,['no finding'],00018682_000.png,1.2.276.0.7230010.3.1.2.8323329.19086.1517874415.163090,0,27,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +012a5620-d082-4bb8-9b3b-e72d8938000c,['infiltration'],00022899_034.png,1.2.276.0.7230010.3.1.2.8323329.19096.1517874415.204758,34,60,M,AP,True,Lung Opacity,2.5,2.0,3.0,2.0,"[2, 3]",False +fcbae9af-e49f-4501-a3fa-c1cf3962272c,['consolidation'],00021351_000.png,1.2.276.0.7230010.3.1.2.8323329.19074.1517874415.141060,0,72,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3e6ff69e-0090-42c6-97b1-26434f52b19d,['no finding'],00001689_000.png,1.2.276.0.7230010.3.1.2.8323329.19100.1517874415.235875,0,38,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +7252d75d-6ac8-4220-a108-5406de4a6b22,['mass'],00021626_010.png,1.2.276.0.7230010.3.1.2.8323329.19112.1517874415.263265,10,55,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +dbd636a9-a182-4bec-9998-07959ebb8484,['no finding'],00010891_004.png,1.2.276.0.7230010.3.1.2.8323329.19076.1517874415.129730,4,21,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +1a04f083-d880-4493-87be-68521bc197c1,"['edema', 'infiltration']",00010773_008.png,1.2.276.0.7230010.3.1.2.8323329.19089.1517874415.177866,8,54,F,AP,True,Lung Opacity,1.0,1.0,1.0,2.0,"[1, 1]",True +9f579871-0644-4b33-8547-240b76dbccdd,['infiltration'],00027725_050.png,1.2.276.0.7230010.3.1.2.8323329.19101.1517874415.238134,50,21,M,AP,True,Lung Opacity,1.5,1.0,2.0,2.0,"[2, 1]",False 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finding'],00001348_000.png,1.2.276.0.7230010.3.1.2.8323329.19107.1517874415.257633,0,45,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8ec04c93-93ed-480f-83aa-8d89c1063505,"['consolidation', 'effusion', 'infiltration', 'mass', 'nodule']",00004281_003.png,1.2.276.0.7230010.3.1.2.8323329.19095.1517874415.203437,3,28,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d2e74b2e-1913-4e83-a3c9-6803ebb94d3e,"['cardiomegaly', 'infiltration']",00004893_050.png,1.2.276.0.7230010.3.1.2.8323329.19103.1517874415.232425,50,32,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8d56bf18-c3e3-4872-9fc0-a3db283b0cee,['no finding'],00020912_006.png,1.2.276.0.7230010.3.1.2.8323329.19110.1517874415.268933,6,43,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +de021bc5-eacc-4c73-a8c2-7f98d5467c52,"['edema', 'infiltration']",00026963_017.png,1.2.276.0.7230010.3.1.2.8323329.19125.1517874415.381703,17,42,F,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +1839045f-af6a-430b-8771-c984f87799b0,['pneumothorax'],00017801_005.png,1.2.276.0.7230010.3.1.2.8323329.19145.1517874415.606468,5,26,M,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +3d34ea0f-9f82-4a18-b249-57d27762cce7,['mass'],00002510_004.png,1.2.276.0.7230010.3.1.2.8323329.19164.1517874415.736053,4,48,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +4ff93b63-f90a-4b02-9075-d8b0b5ce6e4b,"['effusion', 'pleural_thickening']",00019707_002.png,1.2.276.0.7230010.3.1.2.8323329.19116.1517874415.331090,2,58,M,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +b90ed550-7c89-417e-9b00-3a1e34dc49d6,"['effusion', 'infiltration']",00025746_010.png,1.2.276.0.7230010.3.1.2.8323329.19128.1517874415.384852,10,60,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8bd41f60-031d-49b7-9d60-da63d523192d,['infiltration'],00013814_005.png,1.2.276.0.7230010.3.1.2.8323329.19133.1517874415.411827,5,70,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d19c5673-e716-4a72-bebb-a593b036c99a,['nodule'],00025695_004.png,1.2.276.0.7230010.3.1.2.8323329.19120.1517874415.351442,4,57,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +2877c9be-1665-4131-ac0f-7b145696ebc5,"['atelectasis', 'pneumonia']",00006822_000.png,1.2.276.0.7230010.3.1.2.8323329.19126.1517874415.384873,0,50,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d200684d-730f-4081-b576-03f9a8503c95,['atelectasis'],00000468_032.png,1.2.276.0.7230010.3.1.2.8323329.19132.1517874415.411944,32,31,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d29308aa-1deb-4c2c-b414-fdc0f49ef74f,['no finding'],00022771_001.png,1.2.276.0.7230010.3.1.2.8323329.19142.1517874415.604643,1,17,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +72de14b5-3dd0-4971-8fa2-137e4f91bb90,"['atelectasis', 'effusion', 'infiltration']",00013962_011.png,1.2.276.0.7230010.3.1.2.8323329.19121.1517874415.354129,11,55,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +4ae0b788-62b6-486c-a95c-76764250c086,"['fibrosis', 'nodule', 'pleural_thickening']",00014556_001.png,1.2.276.0.7230010.3.1.2.8323329.19144.1517874415.611156,1,20,F,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +43657240-4017-47d2-9874-d1d73bcb79bb,['no finding'],00006106_000.png,1.2.276.0.7230010.3.1.2.8323329.19122.1517874415.354193,0,62,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +0a825a59-c034-481c-b596-9c7f0bc42c2c,"['effusion', 'infiltration', 'pneumonia']",00018080_006.png,1.2.276.0.7230010.3.1.2.8323329.19138.1517874415.597793,6,68,F,PA,True,Lung Opacity,3.0,3.0,3.0,2.0,"[3, 3]",False +6166a1c5-b6d2-48f5-b620-eb91ad325b15,['no finding'],00011575_005.png,1.2.276.0.7230010.3.1.2.8323329.19151.1517874415.632859,5,16,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +94ea3fe9-7dbb-491d-8c47-0d76b6888dad,['infiltration'],00004461_004.png,1.2.276.0.7230010.3.1.2.8323329.19158.1517874415.690886,4,34,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +92b6456c-49fb-43ef-b8da-0ae3660f9c09,['atelectasis'],00020747_003.png,1.2.276.0.7230010.3.1.2.8323329.19161.1517874415.720452,3,48,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a058e58a-be32-4941-86ce-b01a36285658,['infiltration'],00012834_114.png,1.2.276.0.7230010.3.1.2.8323329.19168.1517874415.751908,114,33,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +dedb11eb-0379-4cde-9cc0-a3f5d998d10d,"['effusion', 'emphysema', 'pleural_thickening']",00014022_037.png,1.2.276.0.7230010.3.1.2.8323329.19174.1517874415.774513,37,65,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8e87d067-7d6a-43d4-85bf-e10743338aa3,"['atelectasis', 'effusion']",00012093_006.png,1.2.276.0.7230010.3.1.2.8323329.19187.1517874415.844192,6,44,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +466923ee-bc63-4b8b-8129-929e3a303c8f,['no finding'],00008767_000.png,1.2.276.0.7230010.3.1.2.8323329.19165.1517874415.727280,0,20,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ae1a7456-d4f8-4f0e-9764-ee93b0ec3245,['infiltration'],00014203_034.png,1.2.276.0.7230010.3.1.2.8323329.19176.1517874415.783026,34,31,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +31cf07c3-0820-4983-8eaa-2b305295dcbd,['no finding'],00029065_000.png,1.2.276.0.7230010.3.1.2.8323329.19180.1517874415.804731,0,56,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3a5b4890-bfe1-4953-add3-a1bb443d862b,['infiltration'],00010801_008.png,1.2.276.0.7230010.3.1.2.8323329.19186.1517874415.835313,8,62,M,AP,True,Lung Opacity,3.0,3.0,3.0,1.0,[3],False +c7885ae1-f82b-4ff7-a912-446e97e23209,['infiltration'],00028036_001.png,1.2.276.0.7230010.3.1.2.8323329.19179.1517874415.799628,1,60,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ea266abc-6c5b-4921-a37a-44de924c203d,['pneumothorax'],00001583_012.png,1.2.276.0.7230010.3.1.2.8323329.19178.1517874415.790788,12,16,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c4ecc5cf-28dd-4004-b067-7439b2be5b17,['no finding'],00009358_004.png,1.2.276.0.7230010.3.1.2.8323329.19198.1517874415.891255,4,62,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f6889509-932d-48fd-849a-c2bc6dd32b0a,['infiltration'],00027725_011.png,1.2.276.0.7230010.3.1.2.8323329.19220.1517874415.999404,11,21,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +31d8f203-84cd-4f5e-8276-9f4ed5ebc190,"['atelectasis', 'consolidation']",00014911_001.png,1.2.276.0.7230010.3.1.2.8323329.19231.1517874416.56223,1,51,M,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True 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+2ce0ef42-0fda-43a3-a224-d0c8c43d7ddd,['infiltration'],00027297_000.png,1.2.276.0.7230010.3.1.2.8323329.19202.1517874415.910161,0,63,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +2ae3e7ba-a0fe-4f0a-96db-d337714aa657,"['atelectasis', 'pneumothorax']",00001170_021.png,1.2.276.0.7230010.3.1.2.8323329.19207.1517874415.934544,21,23,M,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +b20feaa0-f968-4b31-95a9-85c22183ff6d,['no finding'],00011338_003.png,1.2.276.0.7230010.3.1.2.8323329.19244.1517874416.113828,3,71,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8bc75a20-f7f0-4b45-98f4-6aa7759ef16b,['no finding'],00009229_022.png,1.2.276.0.7230010.3.1.2.8323329.19252.1517874416.170293,22,38,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3a3f6705-9288-4d51-a1a2-eef738ac8d3b,['no finding'],00018766_013.png,1.2.276.0.7230010.3.1.2.8323329.19214.1517874415.973861,13,66,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,2.0,"[1, 1]",True 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Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +66f1c67a-5e4b-4004-951a-59fa33c38552,"['infiltration', 'mass']",00007575_001.png,1.2.276.0.7230010.3.1.2.8323329.19654.1517874419.121982,1,34,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e457e363-5309-4cd0-a242-6b7af7c329d0,['no finding'],00003051_000.png,1.2.276.0.7230010.3.1.2.8323329.19658.1517874419.147962,0,56,F,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +782101a4-b13d-4fed-9820-08374c8b896b,"['edema', 'mass', 'nodule']",00014387_005.png,1.2.276.0.7230010.3.1.2.8323329.19698.1517874419.360517,5,36,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d140d4f2-bc86-49ab-9ac7-14cbac44feeb,"['mass', 'nodule']",00003751_003.png,1.2.276.0.7230010.3.1.2.8323329.19645.1517874419.45138,3,61,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d129ade5-d54c-4d3d-bf6b-a1de107fcc1b,['no 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'infiltration']",00018349_000.png,1.2.276.0.7230010.3.1.2.8323329.19651.1517874419.81852,0,66,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +abdcd92e-688f-4b88-9001-b9cfcaf3f9f5,"['infiltration', 'pleural_thickening']",00000044_001.png,1.2.276.0.7230010.3.1.2.8323329.19701.1517874419.374571,1,78,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9efa04ab-254a-4047-8f2f-91e5fe93062f,"['infiltration', 'nodule']",00017372_001.png,1.2.276.0.7230010.3.1.2.8323329.19736.1517874419.557491,1,43,M,PA,True,Lung Opacity,3.0,3.0,3.0,2.0,"[3, 3]",False +8b62e87f-d35c-441e-b517-3048ff56f55d,['infiltration'],00022847_000.png,1.2.276.0.7230010.3.1.2.8323329.19653.1517874419.120411,0,61,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +42654256-e7f8-400b-a879-f1686bc4f820,"['atelectasis', 'infiltration', 'pleural_thickening']",00006769_011.png,1.2.276.0.7230010.3.1.2.8323329.19659.1517874419.149234,11,55,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +484902b5-1206-4588-b1e3-696fea217b35,"['atelectasis', 'infiltration']",00001855_033.png,1.2.276.0.7230010.3.1.2.8323329.19665.1517874419.190417,33,13,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +8a16c996-0d96-42fb-a51b-c60807a37169,['infiltration'],00020516_000.png,1.2.276.0.7230010.3.1.2.8323329.19670.1517874419.210319,0,55,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +0f1ca6cb-02e3-43ed-87ce-9619095fa14b,['infiltration'],00002227_003.png,1.2.276.0.7230010.3.1.2.8323329.19660.1517874419.162544,3,51,M,PA,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +f25e47fc-ad80-44a0-acb8-bdf668d70a66,['pneumothorax'],00027697_008.png,1.2.276.0.7230010.3.1.2.8323329.19669.1517874419.214785,8,24,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ab6d8833-6583-43d2-8220-471ace40b569,"['emphysema', 'infiltration']",00015530_087.png,1.2.276.0.7230010.3.1.2.8323329.19679.1517874419.264386,87,20,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ba872928-1561-404a-961b-32e8d1818e0d,['infiltration'],00001863_001.png,1.2.276.0.7230010.3.1.2.8323329.19673.1517874419.230567,1,43,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8962b22b-f986-4c3d-ae3b-8664f8e0a51d,"['atelectasis', 'emphysema', 'infiltration', 'pleural_thickening', 'pneumothorax']",00016051_019.png,1.2.276.0.7230010.3.1.2.8323329.19676.1517874419.255538,19,30,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +4936f212-84a2-41b0-8781-8652763f3cec,"['atelectasis', 'consolidation', 'infiltration']",00007451_007.png,1.2.276.0.7230010.3.1.2.8323329.19681.1517874419.279083,7,65,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6f99203c-f38d-4f2d-a2e4-4499cde17785,['effusion'],00022335_012.png,1.2.276.0.7230010.3.1.2.8323329.19662.1517874419.168061,12,54,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True 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3]",False +38b7377c-4b94-4afc-8738-da7da52fe760,['consolidation'],00017044_008.png,1.2.276.0.7230010.3.1.2.8323329.19691.1517874419.328559,8,20,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +8c966759-02e2-4606-bc03-a6c8078767c4,['no finding'],00010996_006.png,1.2.276.0.7230010.3.1.2.8323329.19711.1517874419.437982,6,51,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +dfb0b0dd-27fc-46a8-8c43-f24d0beebf4f,['infiltration'],00021779_002.png,1.2.276.0.7230010.3.1.2.8323329.19678.1517874419.264364,2,47,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +647db67f-687d-4427-b5be-15e31efe4495,['consolidation'],00011303_005.png,1.2.276.0.7230010.3.1.2.8323329.19693.1517874419.334805,5,67,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ef1990ba-93ab-4713-985b-e9db3c62c2c6,['emphysema'],00002720_011.png,1.2.276.0.7230010.3.1.2.8323329.19697.1517874419.354411,11,62,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +07755c77-1391-49f1-8fdb-832082887aec,"['atelectasis', 'infiltration']",00000288_004.png,1.2.276.0.7230010.3.1.2.8323329.19702.1517874419.374154,4,66,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e1fb9b92-637b-4e69-a19d-19e890ed925a,['no finding'],00013820_000.png,1.2.276.0.7230010.3.1.2.8323329.19732.1517874419.531634,0,25,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +aff9bfdd-b179-49e3-8981-dff5e0ff16b9,"['atelectasis', 'consolidation']",00016786_006.png,1.2.276.0.7230010.3.1.2.8323329.19748.1517874419.625820,6,23,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +1fa87ba3-8da3-4248-9245-4286c2434f69,['pneumonia'],00022965_004.png,1.2.276.0.7230010.3.1.2.8323329.19686.1517874419.307953,4,54,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +56299c0b-a0fb-4f2f-bdae-54e0144fdec5,['no finding'],00025823_000.png,1.2.276.0.7230010.3.1.2.8323329.19692.1517874419.330943,0,73,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b02c6f04-dc7e-4786-8100-c0d1baddaab6,['no finding'],00001247_006.png,1.2.276.0.7230010.3.1.2.8323329.19696.1517874419.352697,6,44,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ecb794d5-2059-4087-a2ce-dedf07bac25b,['effusion'],00025093_002.png,1.2.276.0.7230010.3.1.2.8323329.19704.1517874419.390764,2,49,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +eaa60104-c8a0-464c-bdb3-ede7858cecab,['effusion'],00000632_011.png,1.2.276.0.7230010.3.1.2.8323329.19688.1517874419.311431,11,48,M,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +af8a9a3f-9487-454b-8ee6-65c9554f3a87,['mass'],00009653_003.png,1.2.276.0.7230010.3.1.2.8323329.19715.1517874419.459595,3,35,F,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False 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2]",False +a798670c-5fc9-44d3-95db-e46566590784,['infiltration'],00025259_000.png,1.2.276.0.7230010.3.1.2.8323329.19726.1517874419.504121,0,68,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c7869ddf-64cb-4640-9b39-8b7ff5668f8e,['edema'],00013968_003.png,1.2.276.0.7230010.3.1.2.8323329.19730.1517874419.526138,3,26,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +58fb74fc-c506-4225-a6d2-39435d654e60,"['consolidation', 'pneumothorax']",00022192_017.png,1.2.276.0.7230010.3.1.2.8323329.19709.1517874419.433177,17,73,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f3fcb80a-c5b8-4563-b6f9-a8c6b104f894,['infiltration'],00003392_013.png,1.2.276.0.7230010.3.1.2.8323329.19720.1517874419.488835,13,62,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7dc00dd4-ad6f-4fee-9e47-3f2b4b88d3ea,"['edema', 'infiltration', 'mass', 'pneumonia']",00007354_027.png,1.2.276.0.7230010.3.1.2.8323329.19733.1517874419.540735,27,43,M,AP,True,Lung Opacity,2.6666666666666665,2.0,3.0,3.0,"[3, 3, 2]",False +74f62860-c882-47f2-9e9c-1f63588cee5e,"['atelectasis', 'consolidation']",00017236_017.png,1.2.276.0.7230010.3.1.2.8323329.19714.1517874419.448700,17,46,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9a135cec-aeb2-499d-8c12-6f8687b63178,['infiltration'],00022775_002.png,1.2.276.0.7230010.3.1.2.8323329.19718.1517874419.472955,2,58,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +388cc388-c2aa-4bfe-8a63-4565c626d951,['atelectasis'],00000641_000.png,1.2.276.0.7230010.3.1.2.8323329.19752.1517874419.644111,0,61,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +10f3bffb-409e-4d8c-849a-f11144da7c3e,"['cardiomegaly', 'effusion', 'emphysema', 'pneumothorax']",00014626_016.png,1.2.276.0.7230010.3.1.2.8323329.19724.1517874419.495271,16,44,F,PA,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False 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'emphysema']",00017515_005.png,1.2.276.0.7230010.3.1.2.8323329.19759.1517874419.672650,5,42,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +cae03a83-a903-4087-b324-a67fe98638d4,['infiltration'],00018598_004.png,1.2.276.0.7230010.3.1.2.8323329.19765.1517874419.701708,4,41,M,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +baaa0520-6019-4c73-a2a7-ed2a830ecd50,['atelectasis'],00012903_005.png,1.2.276.0.7230010.3.1.2.8323329.19742.1517874419.595612,5,50,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +2bd26d4b-b499-49e8-ad56-a20232b01af3,['no finding'],00018467_001.png,1.2.276.0.7230010.3.1.2.8323329.19750.1517874419.631081,1,41,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6dad7d7d-5e28-408b-9315-a74c48d88097,"['atelectasis', 'edema', 'effusion', 'infiltration', 'pneumonia']",00021840_008.png,1.2.276.0.7230010.3.1.2.8323329.19755.1517874419.655880,8,59,F,AP,True,Lung Opacity,3.0,3.0,3.0,1.0,[3],False 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3]",False +37f70057-7e01-4aae-8940-6712bfe34255,['no finding'],00010780_003.png,1.2.276.0.7230010.3.1.2.8323329.19777.1517874419.736583,3,32,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +8d420869-5632-4a1d-9b75-c913472148bf,['no finding'],00026009_000.png,1.2.276.0.7230010.3.1.2.8323329.19784.1517874419.789679,0,56,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ef448fc2-1b4e-4158-9b04-34cb7f3fb62e,['nodule'],00006926_001.png,1.2.276.0.7230010.3.1.2.8323329.19788.1517874419.818870,1,68,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7afd770d-99e3-4f37-a3ef-006d56637f89,['infiltration'],00001692_000.png,1.2.276.0.7230010.3.1.2.8323329.19808.1517874419.964447,0,67,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +87a2d8e1-4a73-442b-b9da-4a640b6f631d,['no finding'],00019260_010.png,1.2.276.0.7230010.3.1.2.8323329.19814.1517874419.992202,10,47,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f286cf4f-d2cc-44e6-97c0-e763e53d39c1,"['atelectasis', 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +080f1469-5384-4678-b0ec-513ae837b583,"['atelectasis', 'pneumonia']",00019978_001.png,1.2.276.0.7230010.3.1.2.8323329.19906.1517874420.619912,1,51,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +2e8d7684-3d6d-4516-b849-3666030db7b7,['no finding'],00022768_000.png,1.2.276.0.7230010.3.1.2.8323329.19875.1517874420.325489,0,54,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +06f1d0a2-d8c5-4229-9944-59da85c96b81,['nodule'],00007209_000.png,1.2.276.0.7230010.3.1.2.8323329.19897.1517874420.604735,0,61,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +99c1e908-714a-4b05-9de2-db3978e9435d,['no finding'],00027420_009.png,1.2.276.0.7230010.3.1.2.8323329.19910.1517874420.653756,9,56,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +475af2e7-0ffb-4783-8dbf-226682ecd55e,"['effusion', 'pleural_thickening']",00013774_007.png,1.2.276.0.7230010.3.1.2.8323329.19869.1517874420.296947,7,77,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +dc3e3098-bbd1-443b-ba9b-6a60993ca0f0,['no finding'],00018409_000.png,1.2.276.0.7230010.3.1.2.8323329.19890.1517874420.406552,0,34,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +52ec4779-e0e9-4b01-8b61-a2222cb76a10,"['consolidation', 'effusion']",00021420_011.png,1.2.276.0.7230010.3.1.2.8323329.19899.1517874420.602905,11,30,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +a21dc214-0756-48ec-9b5b-16ca1bb243b0,['mass'],00019369_001.png,1.2.276.0.7230010.3.1.2.8323329.19912.1517874420.654394,1,21,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +7f05b70f-2ad0-4db6-9e05-6c2baec8cd52,['no finding'],00000927_000.png,1.2.276.0.7230010.3.1.2.8323329.19882.1517874420.371897,0,53,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +77a4deeb-5538-4c93-82e1-ef9c8877aaeb,"['atelectasis', 'effusion', 'infiltration']",00007668_003.png,1.2.276.0.7230010.3.1.2.8323329.19901.1517874420.625284,3,49,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a7c2ed99-08dd-4eb2-8891-e8fb8e2d366c,['no finding'],00006144_002.png,1.2.276.0.7230010.3.1.2.8323329.19892.1517874420.406824,2,49,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f65222d9-14c9-429f-b4a4-97faa79ad44c,['no finding'],00010244_002.png,1.2.276.0.7230010.3.1.2.8323329.19908.1517874420.624763,2,69,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +90fd2173-ae4d-4342-9872-d79b856b7a37,['no finding'],00012937_000.png,1.2.276.0.7230010.3.1.2.8323329.19920.1517874420.685800,0,19,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +96009c90-cbf8-4c2c-8ba6-cccb0c107764,"['atelectasis', 'consolidation', 'infiltration']",00012255_001.png,1.2.276.0.7230010.3.1.2.8323329.19887.1517874420.389556,1,21,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +77330132-9746-4715-936e-301a8da7d42b,"['consolidation', 'mass']",00015770_040.png,1.2.276.0.7230010.3.1.2.8323329.19904.1517874420.628048,40,66,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +4126caff-aaa9-48c1-8873-94b05cc5aa1d,['infiltration'],00017055_003.png,1.2.276.0.7230010.3.1.2.8323329.19919.1517874420.684580,3,40,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +6459b139-1206-459b-8ab0-535dc5dfd94f,['infiltration'],00026581_000.png,1.2.276.0.7230010.3.1.2.8323329.19929.1517874420.741109,0,60,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +949ccbce-b365-46ab-ac0e-c6b633c10e04,"['effusion', 'infiltration', 'nodule']",00026232_038.png,1.2.276.0.7230010.3.1.2.8323329.19888.1517874420.396643,38,27,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +7be07806-aee9-43a1-9240-62dbcdc9d79a,['no finding'],00000500_004.png,1.2.276.0.7230010.3.1.2.8323329.19894.1517874420.418516,4,70,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f623bffb-23e3-4861-a081-17ff805f9570,['effusion'],00004501_002.png,1.2.276.0.7230010.3.1.2.8323329.19903.1517874420.623236,2,27,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +eeb5c42b-5e05-496e-9662-23e745714d49,['cardiomegaly'],00003483_000.png,1.2.276.0.7230010.3.1.2.8323329.19946.1517874420.866632,0,44,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9272f957-f709-4f8b-929a-643c4e461d48,"['effusion', 'infiltration']",00015831_013.png,1.2.276.0.7230010.3.1.2.8323329.19963.1517874420.951272,13,63,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +fb4e8f36-76ed-4354-9b37-545743fb3ca6,"['edema', 'effusion']",00012355_009.png,1.2.276.0.7230010.3.1.2.8323329.19966.1517874420.973303,9,35,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c98faad9-6dd2-45fe-87af-63bbb94eeb77,['no finding'],00015606_042.png,1.2.276.0.7230010.3.1.2.8323329.19913.1517874420.656828,42,18,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +8d50a2bd-0e09-4675-9c89-198b6e8756f7,['atelectasis'],00019784_000.png,1.2.276.0.7230010.3.1.2.8323329.19922.1517874420.706927,0,50,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +68cad8ac-5e8e-45d8-ab2f-8a119580087d,['no finding'],00027850_000.png,1.2.276.0.7230010.3.1.2.8323329.19938.1517874420.796784,0,24,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8867c7ec-01bf-48de-8f8a-378b02b3ffe8,['no finding'],00022827_003.png,1.2.276.0.7230010.3.1.2.8323329.19918.1517874420.681411,3,41,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +29a2fb4c-481c-4147-89ad-5b6d1e343903,['no finding'],00000720_000.png,1.2.276.0.7230010.3.1.2.8323329.19933.1517874420.758150,0,46,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ada5d3a7-098d-4691-ba53-e633cfd3b86f,"['infiltration', 'mass']",00010496_005.png,1.2.276.0.7230010.3.1.2.8323329.19949.1517874420.879830,5,45,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +ed6d4b42-0789-4c10-9f79-606233052103,['infiltration'],00014045_001.png,1.2.276.0.7230010.3.1.2.8323329.19952.1517874420.902351,1,23,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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finding'],00015869_003.png,1.2.276.0.7230010.3.1.2.8323329.20385.1517874427.762182,3,44,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +daf2da8f-5a61-431a-abd9-f46a3862673e,['infiltration'],00023202_000.png,1.2.276.0.7230010.3.1.2.8323329.20360.1517874427.601772,0,41,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3c4a89ed-4338-4410-8848-a0bf226f6e21,['pneumothorax'],00006605_026.png,1.2.276.0.7230010.3.1.2.8323329.20364.1517874427.625230,26,24,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +755233cd-2ad2-4cbc-b927-97243e46135f,['pneumothorax'],00028765_009.png,1.2.276.0.7230010.3.1.2.8323329.20367.1517874427.647927,9,32,F,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +07391275-3a53-4eb2-bb8e-160e9dc0a3c2,['nodule'],00018033_001.png,1.2.276.0.7230010.3.1.2.8323329.20374.1517874427.698376,1,46,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +911a46a2-4371-4012-9f0c-c3b2b323c4fd,"['edema', 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Normal,1.0,1.0,1.0,1.0,[1],True +51f46b01-a6bc-432e-acd7-5a8e8732a883,['infiltration'],00026979_004.png,1.2.276.0.7230010.3.1.2.8323329.20501.1517874428.421682,4,49,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +08f580ca-6c0e-47ca-9759-851b3c0bb397,"['effusion', 'infiltration']",00022416_038.png,1.2.276.0.7230010.3.1.2.8323329.20517.1517874428.491869,38,52,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +07d0762b-8d1f-41d9-8ea9-1b6e4097cd33,['consolidation'],00007080_000.png,1.2.276.0.7230010.3.1.2.8323329.20507.1517874428.443986,0,71,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +33f3c9d7-b9ff-45a2-bb59-c6e9d5cf1454,['infiltration'],00013704_003.png,1.2.276.0.7230010.3.1.2.8323329.20511.1517874428.472135,3,48,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +80417722-2a5f-4f1f-b11a-31b66619d56b,['no finding'],00003083_000.png,1.2.276.0.7230010.3.1.2.8323329.20508.1517874428.462102,0,41,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Opacity,2.0,2.0,2.0,1.0,[2],False +5a3e37e9-4d7e-40a8-9bc2-cae06b295351,['no finding'],00028122_002.png,1.2.276.0.7230010.3.1.2.8323329.20528.1517874428.549476,2,44,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3a5f682b-e24a-4756-97a9-0a8758d4a88d,['no finding'],00004057_002.png,1.2.276.0.7230010.3.1.2.8323329.20526.1517874428.542905,2,45,M,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +5d605f45-8f8b-4f75-8abc-60a004c2b419,['consolidation'],00003005_020.png,1.2.276.0.7230010.3.1.2.8323329.20523.1517874428.530156,20,50,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a7cc220e-bef4-4d27-a921-7773ebef1282,"['effusion', 'nodule']",00014128_015.png,1.2.276.0.7230010.3.1.2.8323329.20533.1517874428.568367,15,15,F,AP,True,Lung Opacity,1.5,1.0,2.0,2.0,"[2, 1]",False +eb056e61-98f0-418d-a5e9-b82bd8d2db93,['infiltration'],00002250_001.png,1.2.276.0.7230010.3.1.2.8323329.20559.1517874428.676492,1,21,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b42eaeb8-b6d3-41d7-836c-56fd0922abf6,['infiltration'],00006585_009.png,1.2.276.0.7230010.3.1.2.8323329.20543.1517874428.608959,9,16,F,AP,True,Lung Opacity,2.0,2.0,2.0,3.0,"[2, 2, 2]",False +cc3177c8-6570-497c-aef3-6fbddef692f6,"['edema', 'effusion', 'pneumonia']",00011702_059.png,1.2.276.0.7230010.3.1.2.8323329.20542.1517874428.605330,59,26,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +729f2aa0-9564-4228-b516-1d8d4be8bb55,['no finding'],00011391_009.png,1.2.276.0.7230010.3.1.2.8323329.20556.1517874428.673279,9,39,F,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +09852193-d7df-4cce-a616-a536d5de5042,"['consolidation', 'effusion', 'mass']",00017676_003.png,1.2.276.0.7230010.3.1.2.8323329.20547.1517874428.621676,3,35,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False 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Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +9e692a52-ea3b-4e7a-9c74-c66cadfafaf7,['effusion'],00013244_014.png,1.2.276.0.7230010.3.1.2.8323329.20560.1517874428.683914,14,58,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +aedf3a44-37ec-4ec8-aa62-10faf378d97b,"['effusion', 'infiltration']",00002763_021.png,1.2.276.0.7230010.3.1.2.8323329.20580.1517874428.792271,21,52,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +57a2e0f6-9345-4aeb-8f49-fab3a86f1c35,['no finding'],00007505_000.png,1.2.276.0.7230010.3.1.2.8323329.20562.1517874428.687119,0,40,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +edfab0d2-53e7-4124-846b-ab531dd2ce80,"['edema', 'infiltration', 'pneumonia']",00025787_007.png,1.2.276.0.7230010.3.1.2.8323329.20575.1517874428.767205,7,27,M,AP,True,Lung Opacity,3.0,3.0,3.0,2.0,"[3, 3]",False +eafa1f43-8b67-485c-9f1f-5981ff4154f3,"['atelectasis', 'consolidation']",00001549_007.png,1.2.276.0.7230010.3.1.2.8323329.20563.1517874428.692180,7,57,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +9c48549b-ff3c-4009-b132-26a8c2c50cf5,"['effusion', 'infiltration']",00022192_031.png,1.2.276.0.7230010.3.1.2.8323329.20572.1517874428.737846,31,73,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +99197ce2-d888-4d8c-9986-51020171a2e1,"['atelectasis', 'infiltration']",00013993_038.png,1.2.276.0.7230010.3.1.2.8323329.20564.1517874428.698663,38,42,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a54b3045-d895-4e18-a05a-575dd6f4ce82,['no finding'],00023497_001.png,1.2.276.0.7230010.3.1.2.8323329.20569.1517874428.718869,1,63,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +37541ec6-57df-4f39-8318-e18663fafd0d,"['mass', 'nodule']",00021017_001.png,1.2.276.0.7230010.3.1.2.8323329.20567.1517874428.711428,1,46,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a4f9f3cc-1cb0-4a75-b729-d11d44760c69,"['cardiomegaly', 'consolidation']",00005066_060.png,1.2.276.0.7230010.3.1.2.8323329.20582.1517874428.800281,60,55,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +bc422dd3-596e-40e6-93b5-0f08fc6fa720,['no finding'],00011178_013.png,1.2.276.0.7230010.3.1.2.8323329.20581.1517874428.792271,13,63,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +30865d74-df6d-4ce9-8292-d16759b82e2e,['infiltration'],00001355_006.png,1.2.276.0.7230010.3.1.2.8323329.20600.1517874428.883629,6,43,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +09cdcb9a-3768-4403-a85e-37a65711aec4,"['effusion', 'infiltration']",00025664_014.png,1.2.276.0.7230010.3.1.2.8323329.20583.1517874428.806118,14,71,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +3b977435-19c7-4f6f-bb33-d19e184c602c,['infiltration'],00029602_001.png,1.2.276.0.7230010.3.1.2.8323329.20590.1517874428.840653,1,29,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c4b25d82-38e6-4734-9e53-7c1d73912027,['infiltration'],00000820_015.png,1.2.276.0.7230010.3.1.2.8323329.20598.1517874428.864716,15,48,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +0ed09fd0-a4f5-4440-9fe7-6272d7987f33,['no finding'],00002316_003.png,1.2.276.0.7230010.3.1.2.8323329.20604.1517874428.891213,3,61,F,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +fcb06a43-8652-4bbf-bdf8-bb961137302a,"['infiltration', 'nodule']",00008701_028.png,1.2.276.0.7230010.3.1.2.8323329.20585.1517874428.817262,28,46,F,AP,True,Lung Opacity,3.0,3.0,3.0,2.0,"[3, 3]",False +c7544763-e97a-4aba-bd71-99eef140ff91,"['effusion', 'mass']",00025543_008.png,1.2.276.0.7230010.3.1.2.8323329.20593.1517874428.839320,8,42,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c4328895-fac4-4ecc-b164-88f77dee37ca,['consolidation'],00010012_023.png,1.2.276.0.7230010.3.1.2.8323329.20627.1517874428.989053,23,53,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +5cb55af6-404c-4a17-bfa7-2007465407b4,['infiltration'],00002417_005.png,1.2.276.0.7230010.3.1.2.8323329.20586.1517874428.822058,5,60,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +422d598c-f96e-40e0-abea-f6db2f9945ec,['infiltration'],00027566_002.png,1.2.276.0.7230010.3.1.2.8323329.20596.1517874428.851902,2,46,M,PA,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +48ccd5bd-0c7f-41bf-9b7c-9aa548a04a1b,['pneumonia'],00013272_005.png,1.2.276.0.7230010.3.1.2.8323329.20601.1517874428.888077,5,51,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3c15fc86-61ec-40a9-ba3c-ebff183b0113,['no finding'],00005069_006.png,1.2.276.0.7230010.3.1.2.8323329.20611.1517874428.924182,6,29,F,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +bed364d9-7bad-4de8-b618-9de875b73d67,['no finding'],00009023_006.png,1.2.276.0.7230010.3.1.2.8323329.20587.1517874428.834633,6,61,M,PA,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +b7b51f82-2aa9-4375-a84f-25c52eeb0b40,['consolidation'],00030079_032.png,1.2.276.0.7230010.3.1.2.8323329.20607.1517874428.907398,32,16,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +e37f89d4-3cdd-41af-8a07-3238b93230ce,['infiltration'],00002704_027.png,1.2.276.0.7230010.3.1.2.8323329.20621.1517874428.956053,27,39,F,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +2a6314e0-e011-4857-8bb8-1574e30fecd4,['infiltration'],00026301_003.png,1.2.276.0.7230010.3.1.2.8323329.20626.1517874428.988496,3,49,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3ccba5a4-1aff-41c8-967c-af086e10d071,['no finding'],00028808_002.png,1.2.276.0.7230010.3.1.2.8323329.20589.1517874428.830403,2,68,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7981f347-5149-4b0b-a73a-e1b833904b60,['no finding'],00009608_043.png,1.2.276.0.7230010.3.1.2.8323329.20619.1517874428.936441,43,30,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False 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Opacity,2.0,2.0,2.0,1.0,[2],False +db1d2f27-764c-41fc-9f53-8e62f2a00955,['no finding'],00006144_004.png,1.2.276.0.7230010.3.1.2.8323329.20606.1517874428.900035,4,49,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8f2cdbe6-7e29-4c40-ba7f-54d3f64d10e6,['infiltration'],00014266_000.png,1.2.276.0.7230010.3.1.2.8323329.20615.1517874428.928707,0,79,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +625628c5-4c56-49a7-b2c7-b3445ac714fb,['effusion'],00019206_000.png,1.2.276.0.7230010.3.1.2.8323329.20620.1517874428.950143,0,34,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c7e22e73-6aec-4f4c-82e3-d4a7d185e74c,"['infiltration', 'pneumothorax']",00011544_021.png,1.2.276.0.7230010.3.1.2.8323329.20597.1517874428.857967,21,52,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +be40ab01-4817-4be5-9957-3b0a2220d253,"['consolidation', 'nodule']",00010586_002.png,1.2.276.0.7230010.3.1.2.8323329.20602.1517874428.881965,2,24,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f52d03b4-5110-4ae3-aff6-b3993581512b,['effusion'],00023325_015.png,1.2.276.0.7230010.3.1.2.8323329.20614.1517874428.933932,15,81,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ccd24f2e-dfe9-4a26-9c84-0caa0b67cbdc,"['atelectasis', 'consolidation']",00021154_010.png,1.2.276.0.7230010.3.1.2.8323329.20643.1517874429.50772,10,31,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +4fdaf559-ea65-41e6-b80f-191cd8310928,['edema'],00011122_003.png,1.2.276.0.7230010.3.1.2.8323329.20612.1517874428.927316,3,45,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,2.0,"[1, 1]",True +e4dce044-ebd8-4b56-bed0-e7ba7f837927,['infiltration'],00022832_018.png,1.2.276.0.7230010.3.1.2.8323329.20623.1517874428.965953,18,52,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c57ad4fd-3aa8-4ae8-a262-7336360d8265,['infiltration'],00001957_003.png,1.2.276.0.7230010.3.1.2.8323329.20629.1517874428.988271,3,25,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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'nodule']",00007286_008.png,1.2.276.0.7230010.3.1.2.8323329.20738.1517874429.552046,8,52,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +e140e6e5-cdf1-47d6-b2f1-602aa8a1a69c,['infiltration'],00003523_009.png,1.2.276.0.7230010.3.1.2.8323329.20742.1517874429.576931,9,23,F,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +c8cd6064-ff9a-4741-8f5c-1d839e52e7d8,"['atelectasis', 'pneumonia']",00028784_002.png,1.2.276.0.7230010.3.1.2.8323329.20748.1517874429.597050,2,55,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +08fda39f-ba68-45cc-9bbb-d416b19c6dc2,"['atelectasis', 'infiltration']",00026349_009.png,1.2.276.0.7230010.3.1.2.8323329.20740.1517874429.561979,9,46,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +fcac407d-3950-41a9-b7f9-3b201b33a7b1,"['atelectasis', 'cardiomegaly', 'consolidation']",00002435_006.png,1.2.276.0.7230010.3.1.2.8323329.20752.1517874429.617392,6,40,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +339e53c5-9e9e-44f6-8c86-a1ce9803eec3,"['consolidation', 'nodule']",00020183_000.png,1.2.276.0.7230010.3.1.2.8323329.20957.1517874430.836052,0,65,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +83c2c654-5bc2-41c4-b53d-054888e022d6,"['effusion', 'infiltration']",00002856_012.png,1.2.276.0.7230010.3.1.2.8323329.20934.1517874430.725655,12,52,F,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +a47895dd-28f9-43b2-9214-a4e55fcf92e5,"['infiltration', 'pleural_thickening', 'pneumothorax']",00022141_000.png,1.2.276.0.7230010.3.1.2.8323329.20942.1517874430.754607,0,30,M,AP,True,Lung Opacity,2.3333333333333335,2.0,3.0,3.0,"[3, 2, 2]",False +091fa211-36c0-42a4-bd7d-c8bced664d9d,['infiltration'],00013446_002.png,1.2.276.0.7230010.3.1.2.8323329.20959.1517874430.847851,2,17,M,PA,True,Lung Opacity,3.0,3.0,3.0,1.0,[3],False 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Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +40ad92c2-901d-4f65-a6f2-b9d7452b5047,"['infiltration', 'mass']",00002015_004.png,1.2.276.0.7230010.3.1.2.8323329.20958.1517874430.840126,4,60,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a51d124e-ab14-47e9-90ed-afda7bfafbc3,['effusion'],00020793_002.png,1.2.276.0.7230010.3.1.2.8323329.20974.1517874430.937267,2,68,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +640dd4d6-8797-4fbf-b2e7-2a754a0f14f1,"['atelectasis', 'infiltration', 'pneumothorax']",00012087_034.png,1.2.276.0.7230010.3.1.2.8323329.20980.1517874430.970664,34,68,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ec69eb2a-8d24-406c-8b20-6b2528af149d,['no finding'],00017737_001.png,1.2.276.0.7230010.3.1.2.8323329.20944.1517874430.758160,1,51,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c8fae81e-8db4-4f6b-a131-0021e5d7f0e2,['no finding'],00001115_002.png,1.2.276.0.7230010.3.1.2.8323329.20952.1517874430.802859,2,82,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b8807467-eee2-4442-bcfd-8808f7f5b9a3,['mass'],00017144_004.png,1.2.276.0.7230010.3.1.2.8323329.20973.1517874430.925245,4,27,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9c230bad-eb07-4ec0-b441-596e420508fe,['nodule'],00014805_000.png,1.2.276.0.7230010.3.1.2.8323329.20977.1517874430.950268,0,62,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6851fb69-3777-49a6-a1bb-632c34316799,"['effusion', 'infiltration']",00000255_004.png,1.2.276.0.7230010.3.1.2.8323329.20955.1517874430.830380,4,56,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3916c02c-db1b-459d-a490-db001b4b63fd,['infiltration'],00021082_004.png,1.2.276.0.7230010.3.1.2.8323329.20962.1517874430.858844,4,52,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ff7e4f5e-9895-43c6-bb13-8a482c5a0c27,['no finding'],00004614_001.png,1.2.276.0.7230010.3.1.2.8323329.21229.1517874433.79762,1,39,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b37c8b1c-335f-446e-a93a-34bc910dbb7d,['atelectasis'],00003573_002.png,1.2.276.0.7230010.3.1.2.8323329.21233.1517874433.123163,2,60,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +45c7270e-c7ba-45c1-b226-061a83987ae7,"['infiltration', 'pneumonia']",00002993_002.png,1.2.276.0.7230010.3.1.2.8323329.21239.1517874433.144426,2,12,F,PA,True,Lung Opacity,3.0,3.0,3.0,2.0,"[3, 3]",False +f7fcc3d4-4926-4a44-b588-2dcf16aeba63,['infiltration'],00014083_001.png,1.2.276.0.7230010.3.1.2.8323329.21190.1517874432.736060,1,23,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ce1b61b9-b544-4896-82ab-26f248aa24a5,['infiltration'],00012010_016.png,1.2.276.0.7230010.3.1.2.8323329.21198.1517874432.763777,16,54,M,AP,False,No Lung Opacity / Not 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finding'],00022119_001.png,1.2.276.0.7230010.3.1.2.8323329.21289.1517874433.375777,1,65,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6258b428-045c-40a3-b556-b2b3c83110f3,"['effusion', 'nodule', 'pleural_thickening']",00013608_017.png,1.2.276.0.7230010.3.1.2.8323329.21297.1517874433.417160,17,16,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +4f204cb1-cc3e-44fa-921b-317f31b474f1,['infiltration'],00028837_001.png,1.2.276.0.7230010.3.1.2.8323329.21267.1517874433.280242,1,73,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3375de61-0846-495d-a5d6-fd171828e480,['mass'],00011355_055.png,1.2.276.0.7230010.3.1.2.8323329.21275.1517874433.311316,55,28,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +56b95e0b-2f94-4c0b-a94f-a74d0dc91de4,"['emphysema', 'infiltration', 'mass']",00016607_025.png,1.2.276.0.7230010.3.1.2.8323329.21288.1517874433.375473,25,64,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d6b4db74-32ef-41c1-a949-f18dbafaa40b,['infiltration'],00011910_000.png,1.2.276.0.7230010.3.1.2.8323329.21294.1517874433.400351,0,72,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5dc18235-7c3a-41c7-95c6-59d914d526fc,['no finding'],00014761_000.png,1.2.276.0.7230010.3.1.2.8323329.21269.1517874433.295966,0,10,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +07b24c8e-be16-4d5d-992e-b66e7930a387,['pneumothorax'],00003517_001.png,1.2.276.0.7230010.3.1.2.8323329.21279.1517874433.321337,1,42,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +652f37d5-445a-4700-8937-9efd52353641,['no finding'],00006444_010.png,1.2.276.0.7230010.3.1.2.8323329.21325.1517874433.525695,10,25,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f99ca055-6c33-4770-92a9-1d1696680f20,['atelectasis'],00007926_001.png,1.2.276.0.7230010.3.1.2.8323329.21291.1517874433.382560,1,74,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Opacity,1.5,1.0,2.0,2.0,"[2, 1]",False +a00959fd-42be-41db-871b-e1f51da8c162,"['fibrosis', 'mass', 'nodule']",00010092_048.png,1.2.276.0.7230010.3.1.2.8323329.21293.1517874433.393574,48,51,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +53a62b48-b001-4954-8848-8115efa5c82d,"['emphysema', 'infiltration', 'pneumothorax']",00005681_041.png,1.2.276.0.7230010.3.1.2.8323329.21310.1517874433.464541,41,46,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +fefe9ff5-ec06-43bb-a70a-8a7b4b16b3bd,"['emphysema', 'fibrosis', 'infiltration']",00006758_001.png,1.2.276.0.7230010.3.1.2.8323329.21284.1517874433.354383,1,71,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a519b208-807c-469e-a13b-d2eecf56007f,['effusion'],00013608_007.png,1.2.276.0.7230010.3.1.2.8323329.21296.1517874433.399980,7,16,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b1e7b5cd-f1b6-400d-b62a-57e6c45c663b,"['atelectasis', 'consolidation', 'infiltration']",00020482_034.png,1.2.276.0.7230010.3.1.2.8323329.21591.1517874435.49654,34,29,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +dcdfb34c-a7f5-4aff-bcbe-f3ae676152ff,['no finding'],00008298_002.png,1.2.276.0.7230010.3.1.2.8323329.21598.1517874435.96700,2,62,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +4240c194-667f-498b-989f-ae7bd19e68a0,"['infiltration', 'pneumonia']",00021294_005.png,1.2.276.0.7230010.3.1.2.8323329.21580.1517874434.996633,5,57,M,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +e0e68c55-90a2-45b4-b9d1-ef8e1f711466,['no finding'],00011988_000.png,1.2.276.0.7230010.3.1.2.8323329.21585.1517874435.27392,0,6,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,1.0,1.0,1.0,1.0,[1],True +cc2b8292-35f6-484b-99b2-4afe247b1675,['no finding'],00017861_003.png,1.2.276.0.7230010.3.1.2.8323329.21782.1517874436.726278,3,22,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +44f9ab68-1b94-4c22-a4fc-c3d95843e069,"['effusion', 'infiltration', 'mass']",00026275_008.png,1.2.276.0.7230010.3.1.2.8323329.21794.1517874437.20728,8,59,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +b812234b-987c-47d8-860d-04fb4bd811bf,['atelectasis'],00001322_004.png,1.2.276.0.7230010.3.1.2.8323329.21785.1517874436.963971,4,74,F,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +179c5fc6-32a7-4144-91e9-58c2371616d7,['no finding'],00023068_020.png,1.2.276.0.7230010.3.1.2.8323329.21811.1517874437.208233,20,72,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +79f81dfb-c9dc-4426-9804-afbabac14407,"['consolidation', 'mass']",00014888_021.png,1.2.276.0.7230010.3.1.2.8323329.21815.1517874437.237493,21,43,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6326e2e5-d349-42e2-b42e-8dd63bc40d19,"['emphysema', 'pneumothorax']",00018308_002.png,1.2.276.0.7230010.3.1.2.8323329.21786.1517874436.958848,2,59,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e6d05f66-9b18-48e7-8756-c03e81066405,['consolidation'],00015770_035.png,1.2.276.0.7230010.3.1.2.8323329.21792.1517874437.24306,35,66,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +eabe39ed-472d-4eb2-a037-435abcaf2373,['effusion'],00006708_000.png,1.2.276.0.7230010.3.1.2.8323329.21805.1517874437.82677,0,32,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ea97a1ff-8582-4f89-be4f-b8cfd2eb73b1,"['consolidation', 'infiltration']",00011966_011.png,1.2.276.0.7230010.3.1.2.8323329.21808.1517874437.111124,11,22,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +c46bdaeb-ee46-4de7-ae4c-32129df7eccb,['no finding'],00018360_022.png,1.2.276.0.7230010.3.1.2.8323329.21789.1517874436.996541,22,62,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +68c51c0c-777a-4e8a-9543-7f6a6101e6c9,"['mass', 'pleural_thickening']",00019292_001.png,1.2.276.0.7230010.3.1.2.8323329.21813.1517874437.232215,1,22,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e53279c9-a466-4e8c-9299-b42e2b4d0ad8,['no finding'],00001905_000.png,1.2.276.0.7230010.3.1.2.8323329.21823.1517874437.302016,0,50,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +321b9103-0c96-4719-912d-b9b94e222077,['pneumothorax'],00021381_024.png,1.2.276.0.7230010.3.1.2.8323329.21837.1517874437.355846,24,65,F,PA,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +b2761cd1-6932-4d3b-a9dc-88f5a79a98ed,"['atelectasis', 'consolidation', 'pneumothorax']",00027213_019.png,1.2.276.0.7230010.3.1.2.8323329.21795.1517874437.40100,19,73,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False 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finding'],00010386_000.png,1.2.276.0.7230010.3.1.2.8323329.21809.1517874437.137077,0,58,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6927a615-8ec4-4219-aa92-e368d628cb2e,['infiltration'],00027969_002.png,1.2.276.0.7230010.3.1.2.8323329.21819.1517874437.278185,2,56,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +4b3ad8a6-b188-4455-817e-8c9fb7429ec5,"['fibrosis', 'infiltration']",00003072_025.png,1.2.276.0.7230010.3.1.2.8323329.21856.1517874437.446350,25,52,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6f3edd10-1cc0-4f2b-874f-3d599bdf463f,['infiltration'],00019576_023.png,1.2.276.0.7230010.3.1.2.8323329.21889.1517874437.667796,23,49,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +ae76e24d-14d2-4937-aaae-3a2b0aa0e2c6,['no finding'],00009689_025.png,1.2.276.0.7230010.3.1.2.8323329.21812.1517874437.228472,25,59,M,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +92c60df4-5279-45d0-90ca-d15b74d7d7b1,"['consolidation', 'pneumothorax']",00005201_008.png,1.2.276.0.7230010.3.1.2.8323329.21820.1517874437.268519,8,47,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +882a5e93-34f4-44a2-88bd-39b90314b6a5,['infiltration'],00027498_000.png,1.2.276.0.7230010.3.1.2.8323329.21827.1517874437.308793,0,49,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +eac550ba-b757-479f-85fb-5534e0aecc2c,['infiltration'],00004174_001.png,1.2.276.0.7230010.3.1.2.8323329.21833.1517874437.356079,1,39,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +bf067779-e5d4-444f-b8cc-e5e7ff282fde,['no finding'],00002747_003.png,1.2.276.0.7230010.3.1.2.8323329.21814.1517874437.236052,3,26,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6c5b9330-09d6-4181-ba38-afcbbc00dc3b,"['edema', 'effusion', 'infiltration']",00001601_008.png,1.2.276.0.7230010.3.1.2.8323329.21830.1517874437.331502,8,56,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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'nodule']",00011178_015.png,1.2.276.0.7230010.3.1.2.8323329.21857.1517874437.454000,15,65,M,PA,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +1d59c2a1-4ae7-4e61-b336-938f936416b9,['no finding'],00009232_003.png,1.2.276.0.7230010.3.1.2.8323329.21843.1517874437.394974,3,40,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7d8ddfce-7ac8-4281-9b48-9e6de0c8e158,['no finding'],00022245_024.png,1.2.276.0.7230010.3.1.2.8323329.21858.1517874437.459382,24,66,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8097e7c0-5bf4-4884-b4f0-0c82d2244ec0,['no finding'],00002726_001.png,1.2.276.0.7230010.3.1.2.8323329.21879.1517874437.595565,1,57,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b13ff5d7-7ba5-4cf4-9ff0-e87e87c3489c,"['pleural_thickening', 'pneumonia']",00000766_005.png,1.2.276.0.7230010.3.1.2.8323329.21895.1517874437.715585,5,32,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False 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finding'],00020724_000.png,1.2.276.0.7230010.3.1.2.8323329.22169.1517874439.275144,0,49,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +701c90b1-cd25-4083-b742-595a49f453bd,"['pleural_thickening', 'pneumonia']",00001913_001.png,1.2.276.0.7230010.3.1.2.8323329.22191.1517874439.370330,1,61,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3198c328-990e-452c-81d3-4b149f54421a,"['effusion', 'infiltration']",00004435_008.png,1.2.276.0.7230010.3.1.2.8323329.22144.1517874439.99471,8,28,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +b98ba929-fada-4ec9-bd10-1c0be267ee4d,"['effusion', 'infiltration']",00021307_012.png,1.2.276.0.7230010.3.1.2.8323329.22157.1517874439.207677,12,43,F,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +f4b051b5-e21f-4599-b698-dd7f034aa110,['infiltration'],00018765_004.png,1.2.276.0.7230010.3.1.2.8323329.22164.1517874439.238941,4,57,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +92bc5519-d46b-4ecf-8948-aa2cb283e27e,['no finding'],00025769_021.png,1.2.276.0.7230010.3.1.2.8323329.22175.1517874439.284828,21,59,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +f5cb4b26-5821-4b91-90a0-629f4f0cbd2f,['atelectasis'],00006585_007.png,1.2.276.0.7230010.3.1.2.8323329.22145.1517874439.108311,7,16,F,AP,True,Lung Opacity,3.0,3.0,3.0,2.0,"[3, 3]",False +f66549b1-f756-45d1-88cd-f0083e9a25ca,"['consolidation', 'mass']",00007405_003.png,1.2.276.0.7230010.3.1.2.8323329.22150.1517874439.128413,3,54,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +dc387e88-ceed-49c5-b778-748b853248d2,['cardiomegaly'],00010262_001.png,1.2.276.0.7230010.3.1.2.8323329.22155.1517874439.174191,1,40,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +bbc1e8bf-b669-4629-9344-cf21dc40c972,['fibrosis'],00022136_001.png,1.2.276.0.7230010.3.1.2.8323329.22146.1517874439.110385,1,54,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Opacity,2.0,2.0,2.0,1.0,[2],False +b3550a9f-f3b2-43aa-a4a4-47a37dbafd8f,['no finding'],00026876_000.png,1.2.276.0.7230010.3.1.2.8323329.22297.1517874439.980508,0,20,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6f5f67f7-0ad5-41f7-9e53-0db96f09e48d,['atelectasis'],00008800_002.png,1.2.276.0.7230010.3.1.2.8323329.22302.1517874440.4067,2,51,M,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +7e05fbc5-3642-4e16-beee-058700e8f5f2,['no finding'],00016009_000.png,1.2.276.0.7230010.3.1.2.8323329.22290.1517874439.942865,0,53,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +79f76e04-510e-463d-a3d5-9585cbb249ff,['no finding'],00000974_009.png,1.2.276.0.7230010.3.1.2.8323329.22300.1517874439.991524,9,58,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5fa8b1d1-27eb-4a5a-9c83-b144e9962424,['emphysema'],00001157_002.png,1.2.276.0.7230010.3.1.2.8323329.22349.1517874440.305589,2,46,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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finding'],00009672_000.png,1.2.276.0.7230010.3.1.2.8323329.22314.1517874440.110079,0,65,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6dd263bd-74fb-4230-be18-aad7294aebb9,['no finding'],00018227_001.png,1.2.276.0.7230010.3.1.2.8323329.22307.1517874440.53958,1,62,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5d9ae0aa-09ad-4271-953b-6c19749af5bc,['no finding'],00010122_001.png,1.2.276.0.7230010.3.1.2.8323329.22322.1517874440.162031,1,42,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +09d11876-e367-473a-addf-f445b1a94bec,"['atelectasis', 'consolidation']",00003140_011.png,1.2.276.0.7230010.3.1.2.8323329.22339.1517874440.258039,11,30,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +149d826e-7078-4b2c-888a-d8811c72caf8,"['atelectasis', 'effusion', 'infiltration']",00020398_013.png,1.2.276.0.7230010.3.1.2.8323329.22310.1517874440.94336,13,21,F,AP,True,Lung Opacity,1.0,1.0,1.0,2.0,"[1, 1]",True +cba1116e-deb7-4b99-b956-635bfa08a235,"['effusion', 'fibrosis', 'infiltration']",00008841_011.png,1.2.276.0.7230010.3.1.2.8323329.22321.1517874440.150781,11,48,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +80adb2dd-4b99-4c06-9411-d5e80f42c2cf,['no finding'],00009691_001.png,1.2.276.0.7230010.3.1.2.8323329.22323.1517874440.172735,1,49,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7f9623a6-510f-4e84-8e58-12b65a5e9dfc,"['atelectasis', 'infiltration']",00001200_009.png,1.2.276.0.7230010.3.1.2.8323329.22324.1517874440.175549,9,24,M,AP,True,Lung Opacity,2.5,2.0,3.0,2.0,"[3, 2]",False +97a6f7c7-df3f-4127-907d-27823c48f2fe,['nodule'],00018748_002.png,1.2.276.0.7230010.3.1.2.8323329.22329.1517874440.197740,2,57,F,AP,True,Lung Opacity,3.0,3.0,3.0,2.0,"[3, 3]",False +a4754f30-e370-43c3-b654-0e5ac306d0a1,['pneumothorax'],00003725_001.png,1.2.276.0.7230010.3.1.2.8323329.22335.1517874440.233726,1,16,F,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,2.0,"[1, 1]",True 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'pneumothorax']",00002300_022.png,1.2.276.0.7230010.3.1.2.8323329.22348.1517874440.298077,22,81,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +07444c7a-580b-4494-a883-3b33361a24ac,['fibrosis'],00012729_000.png,1.2.276.0.7230010.3.1.2.8323329.22331.1517874440.212983,0,51,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6c5594c3-eb22-4efb-b4fa-05e3c1bb2665,['nodule'],00002014_002.png,1.2.276.0.7230010.3.1.2.8323329.22356.1517874440.346375,2,32,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c9c976bf-b105-4b7d-ba23-e2922186c95f,"['infiltration', 'nodule']",00013490_005.png,1.2.276.0.7230010.3.1.2.8323329.22371.1517874440.438454,5,43,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e7763b77-4ec7-4dbe-af09-5e074b13689a,['no finding'],00017947_012.png,1.2.276.0.7230010.3.1.2.8323329.22376.1517874440.460720,12,44,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7638c224-6103-4774-8254-73f3b394779d,"['edema', 'infiltration']",00008068_016.png,1.2.276.0.7230010.3.1.2.8323329.22332.1517874440.211326,16,41,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +a318797e-cb21-47c8-ad3e-49626c1c98ca,"['atelectasis', 'consolidation', 'effusion', 'pleural_thickening']",00005089_036.png,1.2.276.0.7230010.3.1.2.8323329.22336.1517874440.234891,36,37,F,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +e91e9bbe-50ab-43a7-bfa8-6a602f8f3535,['pneumothorax'],00005740_003.png,1.2.276.0.7230010.3.1.2.8323329.22368.1517874440.409628,3,49,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7697387f-7a81-4864-8902-2e716d03b014,['pleural_thickening'],00022638_000.png,1.2.276.0.7230010.3.1.2.8323329.22383.1517874440.627400,0,64,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +4a07a70b-2093-42a7-acd6-a6efe383fbc2,['no finding'],00010481_024.png,1.2.276.0.7230010.3.1.2.8323329.22334.1517874440.227737,24,44,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b87e3b2e-d7a1-4b29-86eb-0c08b1d3022a,['no finding'],00012086_006.png,1.2.276.0.7230010.3.1.2.8323329.22363.1517874440.370131,6,18,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +2cc72d62-1144-4fe9-a4ab-da083ad11392,['consolidation'],00003028_083.png,1.2.276.0.7230010.3.1.2.8323329.22379.1517874440.563745,83,58,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +a0fc511b-7483-46a6-9591-46f6c73f87e9,"['infiltration', 'pneumothorax']",00005680_002.png,1.2.276.0.7230010.3.1.2.8323329.22427.1517874440.855086,2,49,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +eb31f994-518b-4e9d-9a52-ccbf541cfa9f,['atelectasis'],00026358_000.png,1.2.276.0.7230010.3.1.2.8323329.22338.1517874440.247718,0,55,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d903621a-9a92-470b-bc66-e0287c6490ad,['consolidation'],00018233_043.png,1.2.276.0.7230010.3.1.2.8323329.22364.1517874440.378270,43,47,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a00cf769-0dfb-4b2e-9abf-4330fa529843,['pneumothorax'],00015653_005.png,1.2.276.0.7230010.3.1.2.8323329.22390.1517874440.656077,5,55,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a37191a3-64a6-4a9d-9340-36f3decb92d6,['no finding'],00018493_001.png,1.2.276.0.7230010.3.1.2.8323329.22343.1517874440.269803,1,50,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +530cc8fa-405e-4f03-8d9f-f980438e4e65,['fibrosis'],00021307_023.png,1.2.276.0.7230010.3.1.2.8323329.22360.1517874440.360878,23,43,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +fc8b3ea6-e7a3-4e17-8dd6-3bb0050e76f1,['no finding'],00006591_000.png,1.2.276.0.7230010.3.1.2.8323329.22375.1517874440.461089,0,32,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +4fbbc333-2706-48f9-9d57-137b372a5a5c,"['effusion', 'mass', 'nodule', 'pneumothorax']",00008230_011.png,1.2.276.0.7230010.3.1.2.8323329.22344.1517874440.283809,11,60,F,PA,False,No Lung Opacity / Not 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finding'],00018211_004.png,1.2.276.0.7230010.3.1.2.8323329.22402.1517874440.722063,4,86,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +86a1e3da-0316-4d88-88d6-0ffa314b3a35,['emphysema'],00020603_000.png,1.2.276.0.7230010.3.1.2.8323329.22412.1517874440.771664,0,64,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8719f746-c748-4e5a-bd8b-6c07e0fdd014,['no finding'],00002680_002.png,1.2.276.0.7230010.3.1.2.8323329.22421.1517874440.816650,2,30,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +bf64307b-6a83-4032-9f48-99aa0aec9e8a,['no finding'],00003524_000.png,1.2.276.0.7230010.3.1.2.8323329.22431.1517874440.872448,0,47,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +895e70fc-1bea-461e-ba21-9d2be5fc20f2,['no finding'],00015118_000.png,1.2.276.0.7230010.3.1.2.8323329.22414.1517874440.785434,0,36,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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finding'],00020243_000.png,1.2.276.0.7230010.3.1.2.8323329.22821.1517874443.850636,0,50,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +4da6faee-c4af-4ea4-84a3-7c5733bfd249,"['atelectasis', 'pleural_thickening']",00012622_033.png,1.2.276.0.7230010.3.1.2.8323329.22828.1517874443.890248,33,32,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ebf19d5c-7a4e-4192-8cc7-2bb14f20e48a,['infiltration'],00014585_003.png,1.2.276.0.7230010.3.1.2.8323329.22817.1517874443.820077,3,59,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e55ac8b2-17a1-4c53-8306-80d2d901a60a,"['atelectasis', 'effusion', 'infiltration', 'pleural_thickening']",00010007_027.png,1.2.276.0.7230010.3.1.2.8323329.22822.1517874443.862860,27,58,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +1b4d9ebb-644e-4602-ad36-d83cf7415be6,['infiltration'],00018610_041.png,1.2.276.0.7230010.3.1.2.8323329.22825.1517874443.889530,41,64,M,AP,True,Lung Opacity,3.0,3.0,3.0,1.0,[3],False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +2afaf9b4-664c-4c87-b9f5-4e411789da5d,['nodule'],00014427_007.png,1.2.276.0.7230010.3.1.2.8323329.23208.1517874446.240721,7,56,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +fdfc11cc-75d9-4ab7-a40c-e3576cec8883,['effusion'],00026098_007.png,1.2.276.0.7230010.3.1.2.8323329.23211.1517874446.262785,7,42,M,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +9568e6d0-e4ef-4786-b6dc-a26e0bff593d,['nodule'],00012563_000.png,1.2.276.0.7230010.3.1.2.8323329.23190.1517874446.147445,0,47,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5386aa61-84c4-4f35-ba45-62544e1887cd,['no finding'],00016615_009.png,1.2.276.0.7230010.3.1.2.8323329.23199.1517874446.193819,9,63,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +285e0dd4-4f19-47ab-9ce0-6b02c1396f29,"['effusion', 'infiltration']",00030323_021.png,1.2.276.0.7230010.3.1.2.8323329.23222.1517874446.912330,21,31,F,AP,True,Lung Opacity,1.5,1.0,2.0,2.0,"[1, 2]",False 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Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +cb8f5f20-10fa-4901-94cc-1b884d830c65,['effusion'],00018356_004.png,1.2.276.0.7230010.3.1.2.8323329.23246.1517874447.26014,4,48,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9cb1987f-476b-43a1-aaa1-9fa529333262,['no finding'],00010462_004.png,1.2.276.0.7230010.3.1.2.8323329.23205.1517874446.239677,4,21,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,2.0,"[1, 1]",True +f36c1075-71a4-41b7-9687-8abbb3c06c58,['atelectasis'],00012931_032.png,1.2.276.0.7230010.3.1.2.8323329.23210.1517874446.267433,32,47,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6a0c1538-4b7c-4149-9a4a-60b79d8e1284,['pneumonia'],00016362_000.png,1.2.276.0.7230010.3.1.2.8323329.23226.1517874446.930567,0,32,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +0bfe09c2-ce96-4cd4-9374-92117c18da3d,"['infiltration', 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finding'],00000149_009.png,1.2.276.0.7230010.3.1.2.8323329.23221.1517874446.513316,9,70,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9363ce31-c17d-4287-ba3e-39ea2884a3cf,['no finding'],00004316_006.png,1.2.276.0.7230010.3.1.2.8323329.23243.1517874447.13371,6,45,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +9ab07674-10bd-458c-86b1-541c3b69b944,"['edema', 'infiltration']",00018972_014.png,1.2.276.0.7230010.3.1.2.8323329.23269.1517874447.147053,14,52,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +f6cfde90-10de-4584-aed1-2a0ef8238b11,['infiltration'],00013310_029.png,1.2.276.0.7230010.3.1.2.8323329.23273.1517874447.174131,29,58,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +7e2a9bb1-b95a-4d72-9859-bb851216277b,['infiltration'],00022047_002.png,1.2.276.0.7230010.3.1.2.8323329.23227.1517874446.951857,2,59,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +a9205cbb-3258-438f-963f-6aa6ff4d4fb8,['no finding'],00010688_002.png,1.2.276.0.7230010.3.1.2.8323329.23270.1517874447.148885,2,35,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +15b7d431-5807-468b-a561-42f63e56b845,['consolidation'],00010995_011.png,1.2.276.0.7230010.3.1.2.8323329.23310.1517874447.352784,11,19,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7ae6b106-4569-486b-886f-e7d5baf48f87,['effusion'],00018724_035.png,1.2.276.0.7230010.3.1.2.8323329.23315.1517874447.380530,35,44,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b1d17d4b-d189-411f-8099-e3949633a32f,"['atelectasis', 'consolidation']",00006242_002.png,1.2.276.0.7230010.3.1.2.8323329.23272.1517874447.163619,2,67,F,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,2.0,"[1, 1]",True +be9fe97a-ba2e-4eff-a0b1-2d634d51590a,['no 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finding'],00015018_011.png,1.2.276.0.7230010.3.1.2.8323329.23695.1517874449.441588,11,39,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +55754887-a552-47dd-a5c6-2d069da40136,['infiltration'],00009863_032.png,1.2.276.0.7230010.3.1.2.8323329.23651.1517874449.224091,32,40,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +e7a73b81-7634-46b1-bd54-6465b85c2009,['no finding'],00004822_044.png,1.2.276.0.7230010.3.1.2.8323329.23656.1517874449.259116,44,29,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f2d1a06c-2475-4d1c-b41d-849b8fe1f77f,['no finding'],00007877_000.png,1.2.276.0.7230010.3.1.2.8323329.23696.1517874449.456114,0,44,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +56b6e64a-0697-4768-a23c-11e2b2cbdea3,['infiltration'],00012117_000.png,1.2.276.0.7230010.3.1.2.8323329.23718.1517874449.589382,0,79,F,AP,True,Lung Opacity,3.0,3.0,3.0,1.0,[3],False +f0576862-a1b3-4029-8ab0-d7dae5d973f7,"['consolidation', 'infiltration']",00011034_026.png,1.2.276.0.7230010.3.1.2.8323329.23659.1517874449.259315,26,54,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +df06f4d2-c39c-429d-b845-98f6fe68f109,"['mass', 'pleural_thickening']",00007061_008.png,1.2.276.0.7230010.3.1.2.8323329.23673.1517874449.344794,8,61,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +27e7f64a-a6a4-4a36-8888-c6c96c8e7828,['mass'],00011157_000.png,1.2.276.0.7230010.3.1.2.8323329.23683.1517874449.389207,0,23,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a57f578f-1e6f-4248-bd38-2dacfa772fdb,"['edema', 'infiltration', 'pneumonia']",00020482_060.png,1.2.276.0.7230010.3.1.2.8323329.23660.1517874449.268188,60,29,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +5e874185-b532-48ca-953d-2fcaf4402688,"['cardiomegaly', 'effusion', 'infiltration']",00013249_025.png,1.2.276.0.7230010.3.1.2.8323329.23666.1517874449.290740,25,14,M,AP,False,No Lung Opacity / Not 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Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +01aad2a6-3b93-45e3-bf37-2d73348cb6fc,['infiltration'],00003382_002.png,1.2.276.0.7230010.3.1.2.8323329.23743.1517874449.683278,2,71,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +92ef9a59-d770-40b6-9ef5-2f909d6cc1c8,['nodule'],00028936_000.png,1.2.276.0.7230010.3.1.2.8323329.23705.1517874449.528307,0,30,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5278b08c-a475-469e-8910-56bff6d85210,['infiltration'],00027982_004.png,1.2.276.0.7230010.3.1.2.8323329.23721.1517874449.618952,4,36,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +cd3f4b22-8bd5-4ef1-bc4c-cdefea2fe510,['infiltration'],00021864_000.png,1.2.276.0.7230010.3.1.2.8323329.23735.1517874449.651720,0,19,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5582616e-31dc-40e4-a852-7b37cb616d8f,['pneumothorax'],00015214_012.png,1.2.276.0.7230010.3.1.2.8323329.23747.1517874449.715135,12,52,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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'infiltration']",00012834_103.png,1.2.276.0.7230010.3.1.2.8323329.23806.1517874450.28877,103,33,M,AP,True,Lung Opacity,2.3333333333333335,2.0,3.0,3.0,"[2, 2, 3]",False +83eb118a-7a4d-4624-afb0-48f6358fd586,"['infiltration', 'pneumothorax']",00011355_007.png,1.2.276.0.7230010.3.1.2.8323329.23789.1517874449.958247,7,35,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +402920d5-1fb0-465c-b261-c4e0105c4a3d,['infiltration'],00027726_056.png,1.2.276.0.7230010.3.1.2.8323329.23796.1517874449.985110,56,58,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e2b93bb4-d449-4914-b96b-3b4f0c6c525d,"['atelectasis', 'infiltration']",00017572_000.png,1.2.276.0.7230010.3.1.2.8323329.23805.1517874450.39178,0,23,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +1847b55c-2fed-494c-8d76-7f76630ba39f,['cardiomegaly'],00003914_004.png,1.2.276.0.7230010.3.1.2.8323329.23812.1517874450.73715,4,35,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3bcaf9a6-5613-4b1d-b538-eaf47ba4e62a,"['atelectasis', 'infiltration']",00018154_000.png,1.2.276.0.7230010.3.1.2.8323329.23815.1517874450.79131,0,28,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f14422e1-ed58-4a91-84f6-82d75ddc0139,['infiltration'],00020524_015.png,1.2.276.0.7230010.3.1.2.8323329.23822.1517874450.118173,15,48,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5aba31fa-81e4-48cd-ba50-f885c2af8ca9,"['infiltration', 'mass']",00001836_039.png,1.2.276.0.7230010.3.1.2.8323329.23830.1517874450.161182,39,49,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9d670655-925a-4b96-8227-cb180f1cb34d,['no finding'],00020656_000.png,1.2.276.0.7230010.3.1.2.8323329.23803.1517874450.19594,0,47,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +52a85d13-7aee-4236-a9a5-16d9a58ad4b5,['no finding'],00012603_016.png,1.2.276.0.7230010.3.1.2.8323329.23824.1517874450.133660,16,66,M,AP,False,No Lung Opacity / Not 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Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +080f2b35-fcd5-473e-864b-a7dea3054cc7,['infiltration'],00001250_014.png,1.2.276.0.7230010.3.1.2.8323329.23814.1517874450.75233,14,67,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +9e9a8575-e291-4c28-9ba0-3a63989b0803,['emphysema'],00000988_000.png,1.2.276.0.7230010.3.1.2.8323329.23838.1517874450.220346,0,61,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5395762e-6e18-4040-ac79-3ecba8e5ba67,"['atelectasis', 'infiltration', 'pneumonia']",00004526_013.png,1.2.276.0.7230010.3.1.2.8323329.23848.1517874450.282775,13,35,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +905fcc4a-7a63-4326-9e55-2e8a9ecf1d9c,['infiltration'],00006162_003.png,1.2.276.0.7230010.3.1.2.8323329.23811.1517874450.59462,3,78,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +ece3b4bd-20ed-4224-816c-1bc0f33301b4,['infiltration'],00017792_005.png,1.2.276.0.7230010.3.1.2.8323329.23816.1517874450.79518,5,24,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Opacity,2.0,2.0,2.0,1.0,[2],False +200613d9-e461-4836-ae40-b349087e01a2,['infiltration'],00001855_025.png,1.2.276.0.7230010.3.1.2.8323329.23992.1517874451.149899,25,13,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +b83edafd-86b5-4fe2-a2a9-1a72ce1880b9,['no finding'],00003528_036.png,1.2.276.0.7230010.3.1.2.8323329.24014.1517874451.342120,36,46,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +b1976cfc-3bae-4bae-a968-4892e6f953ca,"['atelectasis', 'effusion', 'infiltration']",00021201_083.png,1.2.276.0.7230010.3.1.2.8323329.23979.1517874451.78899,83,67,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +bc15aa77-4017-4833-b947-42324d271764,['effusion'],00000091_009.png,1.2.276.0.7230010.3.1.2.8323329.23990.1517874451.135769,9,70,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +2847bf15-c5f4-47fc-ab15-0fec98933128,['cardiomegaly'],00005538_002.png,1.2.276.0.7230010.3.1.2.8323329.24017.1517874451.527535,2,60,F,PA,False,Normal,1.0,1.0,1.0,1.0,[1],True 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Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +bfe40d11-6e72-4ccd-9fd4-5534402fdabf,"['effusion', 'mass', 'pneumonia']",00025489_000.png,1.2.276.0.7230010.3.1.2.8323329.24020.1517874451.610822,0,34,F,PA,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +7b9bae7a-8954-4c6b-a5dd-b17c7e6c6e04,"['effusion', 'infiltration', 'nodule']",00002763_035.png,1.2.276.0.7230010.3.1.2.8323329.23999.1517874451.200294,35,53,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +17d34b01-a492-4764-9ee7-1403ed7a3f97,['effusion'],00015843_023.png,1.2.276.0.7230010.3.1.2.8323329.24006.1517874451.230854,23,57,M,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +2a607bec-696e-4248-b6cc-21a6266744bd,['no finding'],00011910_008.png,1.2.276.0.7230010.3.1.2.8323329.24025.1517874452.12729,8,68,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +21d50009-6fea-47e1-8af4-e60aca364ec8,['consolidation'],00004648_000.png,1.2.276.0.7230010.3.1.2.8323329.24036.1517874452.93427,0,22,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b6ebfc38-240b-4fac-ad09-ab378414fb55,['consolidation'],00018683_005.png,1.2.276.0.7230010.3.1.2.8323329.24030.1517874452.38791,5,43,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +384306fe-76b9-499c-ae6f-1d6357101218,['infiltration'],00030220_001.png,1.2.276.0.7230010.3.1.2.8323329.24035.1517874452.78598,1,48,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c10726b6-c944-403f-9062-f0bf922ef149,['no finding'],00009998_000.png,1.2.276.0.7230010.3.1.2.8323329.24003.1517874451.243765,0,40,M,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +f3022722-2635-497a-89a4-72f21b03ace5,['no finding'],00023309_005.png,1.2.276.0.7230010.3.1.2.8323329.24024.1517874451.1114,5,67,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d5293a3e-f050-4b98-8bbf-1f40e25bced5,"['infiltration', 'nodule']",00009100_000.png,1.2.276.0.7230010.3.1.2.8323329.24038.1517874452.88301,0,57,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +50943982-9ba0-49a3-a3dc-c8ab2d42dbba,['infiltration'],00030039_001.png,1.2.276.0.7230010.3.1.2.8323329.24046.1517874452.118950,1,53,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7302c30c-affe-4484-90bc-5f9f4821d2e1,['emphysema'],00014571_015.png,1.2.276.0.7230010.3.1.2.8323329.24009.1517874451.245761,15,78,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +05bfde5b-5626-4a1d-84c1-ea6ef456d409,['no finding'],00007034_003.png,1.2.276.0.7230010.3.1.2.8323329.24026.1517874452.37951,3,30,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b91cfa19-392f-4de9-9b0d-c59e3d8e47ca,['mass'],00012648_000.png,1.2.276.0.7230010.3.1.2.8323329.24040.1517874452.104103,0,36,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ba35ace4-a62d-49bc-88f2-e4af87deb113,['infiltration'],00005631_003.png,1.2.276.0.7230010.3.1.2.8323329.24051.1517874452.150659,3,10,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +73fdcfb6-42ad-4be4-92b4-641250252431,['infiltration'],00002292_000.png,1.2.276.0.7230010.3.1.2.8323329.24013.1517874451.258685,0,23,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +93492fd4-c508-4e1e-abc7-6975147c54ad,"['consolidation', 'pneumonia']",00010531_076.png,1.2.276.0.7230010.3.1.2.8323329.24032.1517874452.77317,76,26,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +336622cd-55bc-4404-beb1-8c75de224d0a,"['effusion', 'infiltration']",00005759_036.png,1.2.276.0.7230010.3.1.2.8323329.24058.1517874452.189672,36,63,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +28b67d93-2432-41e4-9e3b-3d0ba249ad39,['no finding'],00002815_003.png,1.2.276.0.7230010.3.1.2.8323329.24021.1517874451.643062,3,32,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5340047d-295c-4b89-aabf-03889f4acb42,"['effusion', 'infiltration']",00027631_008.png,1.2.276.0.7230010.3.1.2.8323329.24048.1517874452.125825,8,64,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8d7055f0-5e26-4c2a-a610-ff4b09ff3e7d,"['consolidation', 'effusion']",00000116_018.png,1.2.276.0.7230010.3.1.2.8323329.24059.1517874452.190569,18,75,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ac338f2a-61c9-4664-b97e-23e05c260b02,['infiltration'],00023026_010.png,1.2.276.0.7230010.3.1.2.8323329.24061.1517874452.223566,10,30,F,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +1b167f33-a18a-4aab-8a29-2a9d1d41c054,"['atelectasis', 'effusion', 'infiltration']",00021230_002.png,1.2.276.0.7230010.3.1.2.8323329.24071.1517874452.275983,2,40,F,PA,True,Lung Opacity,3.0,3.0,3.0,1.0,[3],False +5416b34b-b77a-4529-ba4a-4e7243471835,['no finding'],00029521_001.png,1.2.276.0.7230010.3.1.2.8323329.24028.1517874452.52790,1,44,M,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +81972ecd-eba5-4267-b11e-88245d3f1176,"['atelectasis', 'emphysema', 'mass']",00012804_000.png,1.2.276.0.7230010.3.1.2.8323329.24041.1517874452.113937,0,62,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e9c0814c-2d66-4265-a7f9-bd595a613ba6,['no finding'],00021345_004.png,1.2.276.0.7230010.3.1.2.8323329.24053.1517874452.155934,4,42,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c803f210-4cf1-4914-8399-5950ee8b95d2,"['atelectasis', 'infiltration']",00000053_001.png,1.2.276.0.7230010.3.1.2.8323329.24076.1517874452.293268,1,71,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +baa67837-17fb-410e-bec6-973e8739e656,"['effusion', 'mass', 'pleural_thickening']",00012604_005.png,1.2.276.0.7230010.3.1.2.8323329.24037.1517874452.90901,5,18,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +17fe6438-981c-41de-a6fd-ac01708de1a9,['no finding'],00015595_003.png,1.2.276.0.7230010.3.1.2.8323329.24057.1517874452.180156,3,63,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +85a40af4-f5e5-4fae-8260-6c6031a73e0b,"['effusion', 'pneumothorax']",00023283_017.png,1.2.276.0.7230010.3.1.2.8323329.24067.1517874452.248989,17,50,F,PA,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +804486d4-b742-4a5e-9314-c8332df871e6,"['emphysema', 'pneumothorax']",00028180_001.png,1.2.276.0.7230010.3.1.2.8323329.24031.1517874452.51419,1,66,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8ed37733-e182-4508-9785-5a546fd41557,"['atelectasis', 'effusion', 'infiltration']",00020429_008.png,1.2.276.0.7230010.3.1.2.8323329.24045.1517874452.129730,8,59,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +0ac2fb38-efab-454a-971e-d8349b8ad28d,['edema'],00010012_004.png,1.2.276.0.7230010.3.1.2.8323329.24052.1517874452.155593,4,53,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6f31a62a-a909-4710-9a25-44240c65df33,['infiltration'],00016009_014.png,1.2.276.0.7230010.3.1.2.8323329.24060.1517874452.197811,14,54,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +93f300b9-d452-4efc-92da-eb9abd2adaa4,"['emphysema', 'pneumonia']",00026072_003.png,1.2.276.0.7230010.3.1.2.8323329.24064.1517874452.233447,3,35,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +55e6396f-23e1-4553-a2be-a825dc70a57a,['nodule'],00001517_006.png,1.2.276.0.7230010.3.1.2.8323329.24072.1517874452.272677,6,20,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ea6e432d-fd90-4cc8-b8dd-f4498e4c71eb,"['atelectasis', 'effusion', 'infiltration']",00012018_011.png,1.2.276.0.7230010.3.1.2.8323329.24066.1517874452.237651,11,58,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +47f592f3-6a04-4859-b019-9150768abc69,['no finding'],00007093_009.png,1.2.276.0.7230010.3.1.2.8323329.24070.1517874452.267883,9,70,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +18a5c559-5563-47e2-b26a-8b20f7250ab0,['no finding'],00029900_004.png,1.2.276.0.7230010.3.1.2.8323329.24049.1517874452.148020,4,27,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +cb746ece-ec4f-4cbc-bcfe-fd7179c843fe,['infiltration'],00017405_015.png,1.2.276.0.7230010.3.1.2.8323329.24074.1517874452.274851,15,64,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +67c56270-819d-4c3a-8688-5caa6208225d,"['consolidation', 'effusion']",00007256_013.png,1.2.276.0.7230010.3.1.2.8323329.24083.1517874452.323473,13,65,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ce026848-ce9f-4d56-befc-fd4772133fe0,['no finding'],00015621_000.png,1.2.276.0.7230010.3.1.2.8323329.24054.1517874452.173819,0,69,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c3be2500-5435-41e3-ad66-1a6d65725b16,['no 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Opacity,2.0,2.0,2.0,1.0,[2],False +8cf6c451-dd08-4054-a52c-743a4236a058,"['infiltration', 'nodule']",00010897_000.png,1.2.276.0.7230010.3.1.2.8323329.24339.1517874453.933483,0,47,M,AP,True,Lung Opacity,3.0,3.0,3.0,1.0,[3],False +c35dad3a-1b66-405f-8a3a-9f70b2981a38,['atelectasis'],00009534_000.png,1.2.276.0.7230010.3.1.2.8323329.24351.1517874453.980240,0,39,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f1f66038-121e-43d7-ad6f-5e17c9ffd0f2,['pleural_thickening'],00003967_000.png,1.2.276.0.7230010.3.1.2.8323329.24357.1517874454.13519,0,38,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +57b169bd-1867-46aa-9236-da80cd78be6e,"['consolidation', 'pleural_thickening']",00024923_000.png,1.2.276.0.7230010.3.1.2.8323329.24336.1517874453.915039,0,55,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +1a2cef8e-99cb-43cc-b9b5-65fe5104037f,['no finding'],00005288_013.png,1.2.276.0.7230010.3.1.2.8323329.24340.1517874453.940601,13,48,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 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Opacity,2.0,2.0,2.0,1.0,[2],False +0cb14822-96b4-4d77-b3ab-436e40ea135c,['infiltration'],00028327_000.png,1.2.276.0.7230010.3.1.2.8323329.24614.1517874455.702768,0,27,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +fa1b42e8-d6b1-42b2-9d1a-9dfeaa356338,['atelectasis'],00022845_000.png,1.2.276.0.7230010.3.1.2.8323329.24586.1517874455.338185,0,19,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +0a35c2fa-9f9e-4157-8deb-8e5d9e69dbc3,"['mass', 'nodule']",00005182_000.png,1.2.276.0.7230010.3.1.2.8323329.24602.1517874455.406426,0,46,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +972fd317-0c35-4a56-aca3-4dcf1ec1fb95,['no finding'],00014938_004.png,1.2.276.0.7230010.3.1.2.8323329.24607.1517874455.428905,4,55,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +f4741367-a732-4b34-8b4e-586346f1a702,"['mass', 'nodule', 'pleural_thickening']",00016971_015.png,1.2.276.0.7230010.3.1.2.8323329.24616.1517874455.698081,15,64,M,PA,False,No Lung Opacity 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Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +0092d9c5-26b6-4e66-b196-49b2224ab8d1,['no finding'],00004438_001.png,1.2.276.0.7230010.3.1.2.8323329.25059.1517874462.808928,1,51,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +be00aef3-ebcf-4306-9960-a41b3c0cdafa,"['consolidation', 'mass', 'pleural_thickening']",00019608_001.png,1.2.276.0.7230010.3.1.2.8323329.25056.1517874462.799315,1,64,M,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +90fc47ed-f40f-4460-8ba3-94a6a1ccfcbc,['mass'],00009618_000.png,1.2.276.0.7230010.3.1.2.8323329.25064.1517874462.848018,0,59,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a23f2117-8ee1-475e-aa06-e74f6b6118d7,['infiltration'],00010805_024.png,1.2.276.0.7230010.3.1.2.8323329.25057.1517874462.803132,24,7,F,AP,True,Lung Opacity,3.0,3.0,3.0,2.0,"[3, 3]",False +9a23150e-d062-44f0-83a2-709258cc6410,['no 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finding'],00014839_022.png,1.2.276.0.7230010.3.1.2.8323329.25135.1517874463.287849,22,30,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +59aa41cb-ece4-46c3-8ded-a26ed0284271,['infiltration'],00003064_011.png,1.2.276.0.7230010.3.1.2.8323329.25133.1517874463.281713,11,35,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +8a6e9b61-2387-4512-88b4-4ca8938511da,['no finding'],00012543_008.png,1.2.276.0.7230010.3.1.2.8323329.25149.1517874463.378175,8,65,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d462f0e8-9162-4588-ba30-ddc08e33ad3b,['infiltration'],00001837_001.png,1.2.276.0.7230010.3.1.2.8323329.25134.1517874463.298219,1,42,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8b1eaad4-77b4-4e55-9073-e85ee81e80fc,['pneumothorax'],00000013_036.png,1.2.276.0.7230010.3.1.2.8323329.25140.1517874463.344021,36,56,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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+445492cc-077f-4d79-9804-60d8e990f28d,"['pleural_thickening', 'pneumothorax']",00025954_029.png,1.2.276.0.7230010.3.1.2.8323329.25156.1517874463.416666,29,58,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +95b2b0de-de32-43bf-b419-e38be5e238cb,['effusion'],00000121_007.png,1.2.276.0.7230010.3.1.2.8323329.25157.1517874463.423715,7,53,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +aafdf1ad-66e3-4775-9ccb-e3b391088fff,"['consolidation', 'nodule']",00011903_001.png,1.2.276.0.7230010.3.1.2.8323329.25198.1517874463.674282,1,59,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f92793eb-6396-4597-ad39-2cc6e8eff84b,['infiltration'],00005963_023.png,1.2.276.0.7230010.3.1.2.8323329.25160.1517874463.425149,23,22,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +d47e4af8-01b9-44fc-b53c-35f3dbcfba85,['infiltration'],00022458_008.png,1.2.276.0.7230010.3.1.2.8323329.25163.1517874463.442789,8,19,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +fe9ba80f-ccb3-4de8-9f6b-610f814067d2,['atelectasis'],00000963_011.png,1.2.276.0.7230010.3.1.2.8323329.25188.1517874463.600926,11,40,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +d9957c75-1071-4e38-914b-b152f89c3b57,['no finding'],00028197_001.png,1.2.276.0.7230010.3.1.2.8323329.25186.1517874463.588124,1,30,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e9c4ac98-e02b-4a4b-9089-31962949ea19,['infiltration'],00015007_012.png,1.2.276.0.7230010.3.1.2.8323329.25212.1517874463.742894,12,5,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +856db494-ff64-4ead-a9c3-b4ac4d7256b5,"['atelectasis', 'infiltration']",00006282_008.png,1.2.276.0.7230010.3.1.2.8323329.25187.1517874463.594527,8,57,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +7b275a37-8a0d-4d21-97de-a84616393ca4,"['atelectasis', 'infiltration']",00020673_005.png,1.2.276.0.7230010.3.1.2.8323329.25190.1517874463.619708,5,31,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +2bd2356b-305a-4726-9a47-034da8f5f2ee,"['effusion', 'nodule']",00010940_000.png,1.2.276.0.7230010.3.1.2.8323329.25189.1517874463.618857,0,57,F,PA,True,Lung Opacity,1.0,1.0,1.0,1.0,[1],True +46fa57be-eafb-4431-841c-3a9258139fe9,"['atelectasis', 'infiltration', 'mass']",00014251_000.png,1.2.276.0.7230010.3.1.2.8323329.25211.1517874463.734769,0,68,M,PA,True,Lung Opacity,-1.0,-1.0,-1.0,-1.0,-1,False +58abf633-84e8-4e22-8706-ff72e9e8cd69,['infiltration'],00003100_000.png,1.2.276.0.7230010.3.1.2.8323329.25194.1517874463.646907,0,56,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +70f0205c-dd20-4caf-8d3b-b2f8354d1e0b,['no finding'],00000135_000.png,1.2.276.0.7230010.3.1.2.8323329.25199.1517874463.673045,0,70,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e241479c-90c2-4416-bc2e-c95625994331,['no finding'],00012456_000.png,1.2.276.0.7230010.3.1.2.8323329.25195.1517874463.649222,0,42,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +31d283d7-f700-43a1-b25e-17f4449fb54b,"['atelectasis', 'mass', 'pneumothorax']",00016429_035.png,1.2.276.0.7230010.3.1.2.8323329.25815.1517874467.845577,35,47,F,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +bd42c8a5-759f-4633-9559-41bd46e6ccc7,"['effusion', 'infiltration', 'pneumonia']",00021303_005.png,1.2.276.0.7230010.3.1.2.8323329.25798.1517874467.732664,5,55,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +6b56a3bd-389f-464c-a506-c20d2a2d5b0d,['infiltration'],00002437_023.png,1.2.276.0.7230010.3.1.2.8323329.25807.1517874467.802887,23,58,F,AP,True,Lung Opacity,3.0,3.0,3.0,2.0,"[3, 3]",False +67cc4492-4ac7-4528-a54f-e871c228d375,['mass'],00006829_009.png,1.2.276.0.7230010.3.1.2.8323329.25842.1517874467.949286,9,49,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Opacity,3.0,3.0,3.0,1.0,[3],False +3d1a1f04-fc3b-4635-b1e5-1c7ab62f20e6,"['effusion', 'infiltration']",00026346_015.png,1.2.276.0.7230010.3.1.2.8323329.26001.1517874468.919430,15,58,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +4fde5c43-28d3-4f6f-afa2-ba572b7e11e7,['atelectasis'],00002376_003.png,1.2.276.0.7230010.3.1.2.8323329.25991.1517874468.825839,3,70,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f4d41558-793b-4bd6-bca7-b2284534c1ba,"['edema', 'infiltration']",00010347_003.png,1.2.276.0.7230010.3.1.2.8323329.26008.1517874468.965413,3,34,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +19270f21-1643-4eb5-b692-70680acb6f91,['atelectasis'],00018821_006.png,1.2.276.0.7230010.3.1.2.8323329.26017.1517874468.987234,6,18,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +b82b0903-6b09-4a6e-96be-d2827ce7f452,"['consolidation', 'effusion', 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Opacity,2.0,2.0,2.0,3.0,"[2, 2, 2]",False +12fb963d-f74d-4c83-a3d9-c96ee8983ff4,"['consolidation', 'infiltration', 'mass', 'pneumothorax']",00010447_010.png,1.2.276.0.7230010.3.1.2.8323329.26047.1517874469.174587,10,63,F,AP,True,Lung Opacity,2.0,1.0,3.0,2.0,"[1, 3]",False +56bea3ed-36f7-44ff-bcbd-d6bef00a1c9f,['infiltration'],00028719_000.png,1.2.276.0.7230010.3.1.2.8323329.26058.1517874469.209043,0,53,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f60ed3c9-4287-4724-a085-71e0c51f8d41,"['infiltration', 'nodule', 'pleural_thickening']",00029074_001.png,1.2.276.0.7230010.3.1.2.8323329.26065.1517874469.229843,1,38,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5859eac3-83db-4943-82e3-5a5859829d31,"['atelectasis', 'consolidation', 'mass']",00002720_026.png,1.2.276.0.7230010.3.1.2.8323329.26079.1517874469.293737,26,63,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3a183229-e56b-4c3e-9d3c-127adec8a2f3,"['consolidation', 'effusion', 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6c56a5f0-decc-4ab5-a119-8bc50e828a7e,['infiltration'],00017603_002.png,1.2.276.0.7230010.3.1.2.8323329.26207.1517874469.972947,2,22,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6b5b6132-0a02-4393-adb7-cbd029c30baa,"['atelectasis', 'effusion']",00030332_001.png,1.2.276.0.7230010.3.1.2.8323329.26213.1517874469.997076,1,60,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e24b6a01-19a2-4b29-a2fa-780e09347e2a,['no finding'],00005327_002.png,1.2.276.0.7230010.3.1.2.8323329.26222.1517874470.55952,2,41,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +396d1f4b-6370-48ba-a3ab-3a891085934c,['no finding'],00026547_000.png,1.2.276.0.7230010.3.1.2.8323329.26203.1517874469.945068,0,50,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +adf5f84f-432e-4b58-bbc2-6121f9119dd9,"['effusion', 'infiltration']",00013993_072.png,1.2.276.0.7230010.3.1.2.8323329.26223.1517874470.51862,72,42,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False 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finding'],00021005_001.png,1.2.276.0.7230010.3.1.2.8323329.26253.1517874470.208555,1,75,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7c108b14-eb48-42d8-af56-1319eda0f0bf,['infiltration'],00008613_009.png,1.2.276.0.7230010.3.1.2.8323329.26208.1517874469.973385,9,61,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +74d35cd9-9847-4a97-a83a-22fc9eeb5dc0,['infiltration'],00007624_052.png,1.2.276.0.7230010.3.1.2.8323329.26212.1517874469.2813,52,25,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7242e926-d7f8-4b5f-96ec-306a5b393d08,"['atelectasis', 'emphysema', 'pneumothorax']",00013111_073.png,1.2.276.0.7230010.3.1.2.8323329.26217.1517874470.28399,73,21,M,PA,True,Lung Opacity,1.5,1.0,2.0,2.0,"[2, 1]",False +de11bfe7-e8e0-421a-89d5-b3fd0494801e,['effusion'],00005985_000.png,1.2.276.0.7230010.3.1.2.8323329.26224.1517874470.61595,0,49,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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finding'],00017569_002.png,1.2.276.0.7230010.3.1.2.8323329.26365.1517874471.17063,2,17,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a1538feb-5647-463b-9876-ca6e5ff00f48,"['infiltration', 'nodule']",00014004_043.png,1.2.276.0.7230010.3.1.2.8323329.26341.1517874470.844245,43,58,F,AP,True,Lung Opacity,3.0,3.0,3.0,2.0,"[3, 3]",False +705c3feb-6faa-442a-a321-f8b14d1d2a2a,['infiltration'],00016399_013.png,1.2.276.0.7230010.3.1.2.8323329.26345.1517874470.867142,13,56,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +ac87627c-76ef-4704-b965-6e2badb21d5e,"['effusion', 'infiltration', 'mass', 'nodule']",00003536_000.png,1.2.276.0.7230010.3.1.2.8323329.26349.1517874470.888715,0,19,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +2ebf23e9-cac7-4b6b-b77b-7ff6c3903634,['no finding'],00010585_021.png,1.2.276.0.7230010.3.1.2.8323329.26327.1517874470.777174,21,66,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3e881f10-28aa-4626-a79a-50cc014b7a1a,"['edema', 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ab9b509a-4d80-47d5-96a6-1ce2b6914cb6,['no finding'],00013352_001.png,1.2.276.0.7230010.3.1.2.8323329.26339.1517874470.822996,1,62,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +dae4f66d-53ce-4910-85af-d4e9e14b59c9,"['atelectasis', 'mass']",00009475_000.png,1.2.276.0.7230010.3.1.2.8323329.26344.1517874470.855366,0,78,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +841e62e2-9f17-4622-9c8d-17aa639e7c75,"['infiltration', 'nodule']",00027900_000.png,1.2.276.0.7230010.3.1.2.8323329.26352.1517874470.908395,0,44,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b496388c-8522-4f39-b367-34f9e19dd583,['no finding'],00005976_004.png,1.2.276.0.7230010.3.1.2.8323329.26357.1517874470.932463,4,14,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +fd5d1c97-9947-4703-bb8c-b5e5daeac9fe,['infiltration'],00022240_000.png,1.2.276.0.7230010.3.1.2.8323329.26340.1517874470.832554,0,77,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Opacity,3.0,3.0,3.0,1.0,[3],False +da84b82e-e8a7-4dfe-ac3a-4e28cbcc9d8f,['infiltration'],00009507_019.png,1.2.276.0.7230010.3.1.2.8323329.26544.1517874472.792698,19,60,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +cd544eaa-5084-4bd3-81d1-8d02da582260,['no finding'],00020146_002.png,1.2.276.0.7230010.3.1.2.8323329.26551.1517874472.821331,2,22,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +a0930be8-f005-4141-a181-c1494cba358f,['infiltration'],00001958_013.png,1.2.276.0.7230010.3.1.2.8323329.26557.1517874472.846493,13,59,F,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +ae34e246-4d09-4cd1-89c9-b3107a1553dc,['no finding'],00012731_000.png,1.2.276.0.7230010.3.1.2.8323329.26563.1517874472.867420,0,44,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e6a29cfc-b9fe-49ef-aac0-c51acf18fd1b,['infiltration'],00022274_000.png,1.2.276.0.7230010.3.1.2.8323329.26545.1517874472.792667,0,50,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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2]",False +53a067de-8c40-4c61-a206-3961e4d6021f,"['nodule', 'pleural_thickening']",00021887_004.png,1.2.276.0.7230010.3.1.2.8323329.27135.1517874476.70359,4,63,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +bbe656f0-f2a0-45cd-8e5e-c6031d36cc1e,"['atelectasis', 'emphysema', 'fibrosis', 'nodule', 'pleural_thickening', 'pneumothorax']",00021073_008.png,1.2.276.0.7230010.3.1.2.8323329.27078.1517874475.781336,8,50,M,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +41ae4051-01a6-4b63-bfea-e355ba3c1413,['mass'],00015343_000.png,1.2.276.0.7230010.3.1.2.8323329.27085.1517874475.812762,0,56,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +34456878-b0c3-4099-bf5e-6d4df08a90f5,['no finding'],00029662_000.png,1.2.276.0.7230010.3.1.2.8323329.27102.1517874475.881533,0,61,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +16210269-f47e-47a3-be2c-9cd49ad47343,['atelectasis'],00014958_013.png,1.2.276.0.7230010.3.1.2.8323329.27087.1517874475.826465,13,19,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f8a277a0-c56f-4af1-944d-7ccf6beb99c8,['no finding'],00020549_000.png,1.2.276.0.7230010.3.1.2.8323329.27098.1517874475.871851,0,43,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f28c48aa-fafd-4e82-b73c-32e5c660f0ed,"['cardiomegaly', 'infiltration']",00003989_013.png,1.2.276.0.7230010.3.1.2.8323329.27117.1517874475.984279,13,57,F,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +a6148502-53a7-4916-93c1-9fa49c9a953b,"['effusion', 'pneumothorax']",00017036_009.png,1.2.276.0.7230010.3.1.2.8323329.27089.1517874475.825364,9,27,M,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +99dcf680-1f54-4d88-aa29-d909be9e82ff,"['infiltration', 'pneumothorax']",00017731_011.png,1.2.276.0.7230010.3.1.2.8323329.27105.1517874475.900644,11,39,M,PA,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +7acb350f-d188-44c2-a726-e812c347bd75,['infiltration'],00010484_003.png,1.2.276.0.7230010.3.1.2.8323329.27112.1517874475.967366,3,57,F,AP,False,No Lung Opacity / Not 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Opacity,3.0,3.0,3.0,2.0,"[3, 3]",False +5cd56a56-f0a5-4a73-8b31-7aefafb8f8ae,"['effusion', 'pleural_thickening']",00028341_002.png,1.2.276.0.7230010.3.1.2.8323329.27101.1517874475.881530,2,10,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3cb366f4-5584-4990-9718-2110f831a981,"['edema', 'infiltration', 'pneumonia']",00013993_013.png,1.2.276.0.7230010.3.1.2.8323329.27110.1517874475.942755,13,42,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5fc4c038-98f2-485c-b86f-63508d589cab,['infiltration'],00010825_001.png,1.2.276.0.7230010.3.1.2.8323329.27113.1517874475.975403,1,60,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f43eef3c-d1f8-41c9-b931-f31ee378175b,['nodule'],00023075_012.png,1.2.276.0.7230010.3.1.2.8323329.27100.1517874475.880325,12,30,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +dca15a56-637e-4a0f-b705-a8992a9b11cc,"['effusion', 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finding'],00003823_000.png,1.2.276.0.7230010.3.1.2.8323329.27157.1517874476.166070,0,66,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +49e96e12-32d5-42be-9a58-62bd0ace5ad0,['infiltration'],00019576_019.png,1.2.276.0.7230010.3.1.2.8323329.27122.1517874476.16460,19,49,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +aeee2758-efd1-4e6d-b0df-b1916d1c1085,['infiltration'],00013937_002.png,1.2.276.0.7230010.3.1.2.8323329.27129.1517874476.38594,2,60,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5e5e1993-62b0-4413-9534-e79735ebc270,['pneumonia'],00021127_018.png,1.2.276.0.7230010.3.1.2.8323329.27133.1517874476.61018,18,65,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +52f9fe74-78cb-4c93-a59b-8fbfb3c02579,"['atelectasis', 'nodule']",00026543_002.png,1.2.276.0.7230010.3.1.2.8323329.27124.1517874476.8079,2,54,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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finding'],00028518_023.png,1.2.276.0.7230010.3.1.2.8323329.27163.1517874476.194738,23,48,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +365ae7a6-dccd-4b94-b5af-c1c0eae5cd24,['fibrosis'],00011243_000.png,1.2.276.0.7230010.3.1.2.8323329.27171.1517874476.255012,0,43,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7861a1ea-f6ea-48fc-9fec-6a45d792bea4,['infiltration'],00022466_002.png,1.2.276.0.7230010.3.1.2.8323329.27177.1517874476.284551,2,58,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +77d8f15c-4686-4898-93eb-ad80ea92a803,"['atelectasis', 'infiltration']",00020043_000.png,1.2.276.0.7230010.3.1.2.8323329.27144.1517874476.112592,0,45,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +17924737-81b7-4dd1-9d9b-2d75af022f8f,['no finding'],00009378_006.png,1.2.276.0.7230010.3.1.2.8323329.27153.1517874476.149616,6,60,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +628cca99-9eb5-43e0-84ab-8a8f113aae55,"['atelectasis', 'edema', 'infiltration', 'pneumonia']",00021201_070.png,1.2.276.0.7230010.3.1.2.8323329.30312.1517874497.917884,70,66,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +9e44dd90-b1e7-483a-9e7e-4ef2e6104330,['no finding'],00029275_001.png,1.2.276.0.7230010.3.1.2.8323329.30326.1517874498.170576,1,63,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ac70e5ac-f93d-4fbf-a8d8-6db501f56cc2,['no finding'],00014616_014.png,1.2.276.0.7230010.3.1.2.8323329.30345.1517874498.532272,14,49,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +a8e750d1-fda6-4713-ae72-35893c0e9ffe,['no finding'],00018470_000.png,1.2.276.0.7230010.3.1.2.8323329.30367.1517874498.907018,0,58,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c87c6aa2-0530-4693-8262-902153c69e48,"['infiltration', 'mass']",00014320_026.png,1.2.276.0.7230010.3.1.2.8323329.30313.1517874497.907662,26,26,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8bc6dd29-efc9-4ffc-9562-2f35b815390f,['emphysema'],00002066_007.png,1.2.276.0.7230010.3.1.2.8323329.30323.1517874498.139713,7,77,M,AP,True,Lung Opacity,3.0,3.0,3.0,1.0,[3],False +a0c22f32-1156-4c62-894a-19ce51aee219,['infiltration'],00006271_047.png,1.2.276.0.7230010.3.1.2.8323329.30330.1517874498.172873,47,40,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +efcc7a4f-23d6-4df1-9d80-677a620856d7,['infiltration'],00018240_000.png,1.2.276.0.7230010.3.1.2.8323329.30342.1517874498.524011,0,6,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +07bc3b67-cc81-47c8-b384-7bc81a3a9fc0,['infiltration'],00018192_000.png,1.2.276.0.7230010.3.1.2.8323329.30315.1517874497.993661,0,72,F,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +dbf96f61-085d-4385-a8c3-44511690d4d0,['effusion'],00019891_001.png,1.2.276.0.7230010.3.1.2.8323329.30318.1517874498.36343,1,53,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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finding'],00016850_000.png,1.2.276.0.7230010.3.1.2.8323329.30360.1517874498.784715,0,57,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +9d241168-d65d-4c90-8585-5f6e4b0f03d3,"['emphysema', 'mass', 'pneumothorax']",00014731_024.png,1.2.276.0.7230010.3.1.2.8323329.30321.1517874498.89791,24,54,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b0140409-8a77-4e32-a160-ce0988203cb2,"['atelectasis', 'effusion']",00028844_031.png,1.2.276.0.7230010.3.1.2.8323329.30324.1517874498.122884,31,66,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ae7a7ed0-ea01-44de-9287-b2dec267bcfd,['effusion'],00029464_013.png,1.2.276.0.7230010.3.1.2.8323329.30327.1517874498.157978,13,60,F,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +8a90ffce-3f6e-4d49-8307-0351381be2ee,"['effusion', 'nodule']",00027441_025.png,1.2.276.0.7230010.3.1.2.8323329.30343.1517874498.529394,25,11,F,PA,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False 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Normal,1.0,1.0,1.0,2.0,"[1, 1]",True +18832ae7-6e31-4667-8eb5-3eddf5ab6d8e,['infiltration'],00013670_085.png,1.2.276.0.7230010.3.1.2.8323329.30392.1517874499.108119,85,56,M,AP,True,Lung Opacity,1.5,1.0,2.0,2.0,"[2, 1]",False +5860110f-acc0-4361-9c51-7da5f5c102ce,"['consolidation', 'infiltration']",00008067_024.png,1.2.276.0.7230010.3.1.2.8323329.30363.1517874498.804558,24,44,M,AP,True,Lung Opacity,3.0,3.0,3.0,2.0,"[3, 3]",False +656ea13b-f710-4709-9181-0a78319ffc37,"['edema', 'infiltration', 'pneumonia']",00025473_005.png,1.2.276.0.7230010.3.1.2.8323329.30380.1517874498.988123,5,24,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6a078738-03df-4e3f-adb3-d203baef1e1c,"['mass', 'pneumothorax']",00025529_002.png,1.2.276.0.7230010.3.1.2.8323329.30386.1517874499.16314,2,35,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +c69b465a-7bfe-42c7-8896-0c4a419854f7,['no finding'],00017689_000.png,1.2.276.0.7230010.3.1.2.8323329.30355.1517874498.715602,0,46,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c59cd75c-4686-46b7-a463-14beec506a7e,"['consolidation', 'effusion', 'infiltration', 'mass']",00006948_013.png,1.2.276.0.7230010.3.1.2.8323329.30372.1517874498.934098,13,50,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +acd35df7-0450-4696-8e83-df3dd8cb8ecc,"['pleural_thickening', 'pneumonia']",00002094_006.png,1.2.276.0.7230010.3.1.2.8323329.30376.1517874498.960239,6,54,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +eba80948-4a28-4909-9b2d-06a0175c830f,['infiltration'],00000857_006.png,1.2.276.0.7230010.3.1.2.8323329.30381.1517874498.984546,6,41,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +bf5e225f-e3f1-470e-bc34-a325f17a4736,"['atelectasis', 'nodule', 'pneumonia']",00010092_003.png,1.2.276.0.7230010.3.1.2.8323329.30356.1517874498.729733,3,47,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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'infiltration']",00011711_001.png,1.2.276.0.7230010.3.1.2.8323329.30433.1517874499.783492,1,28,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a4b7d67d-7e52-4b14-9897-4fa498b25d0a,['edema'],00011632_002.png,1.2.276.0.7230010.3.1.2.8323329.30416.1517874499.516646,2,57,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +5eb932e2-3455-40fe-93db-ae44f897d9e0,['no finding'],00026829_000.png,1.2.276.0.7230010.3.1.2.8323329.30430.1517874499.765071,0,65,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +4eea4f08-b720-4148-a091-5f59ffe597e1,['infiltration'],00022144_002.png,1.2.276.0.7230010.3.1.2.8323329.30461.1517874500.200433,2,33,F,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +954d091a-3c7f-4d02-83cc-9e7b6a8d74de,"['atelectasis', 'effusion', 'infiltration']",00019917_000.png,1.2.276.0.7230010.3.1.2.8323329.30395.1517874499.129011,0,77,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +95dd5cf3-9b53-444d-bf9b-705f8ff22e92,['no finding'],00010379_005.png,1.2.276.0.7230010.3.1.2.8323329.30405.1517874499.287467,5,17,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +df5f8626-2afb-4fb2-87a6-765fbc2eff2e,['no finding'],00003033_000.png,1.2.276.0.7230010.3.1.2.8323329.30426.1517874499.698725,0,38,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7cfa7316-e944-456b-98e2-498acbbd8190,['nodule'],00001481_000.png,1.2.276.0.7230010.3.1.2.8323329.30401.1517874499.252390,0,53,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a8e8e360-1c06-4932-820f-cc0066da187e,['infiltration'],00019176_095.png,1.2.276.0.7230010.3.1.2.8323329.30440.1517874499.861240,95,66,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +6c685c7d-2d48-4791-ba79-21136b30347b,['infiltration'],00021834_000.png,1.2.276.0.7230010.3.1.2.8323329.30462.1517874500.201528,0,52,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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2]",False +b1db3925-cbb3-4e1a-8612-80e07f471365,['no finding'],00021024_011.png,1.2.276.0.7230010.3.1.2.8323329.30428.1517874499.776455,11,28,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +59baf870-7dc3-4d99-9de4-a5796a082436,['atelectasis'],00028357_012.png,1.2.276.0.7230010.3.1.2.8323329.30451.1517874500.106983,12,52,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5ec4ad99-e026-442b-965d-5394b59dcdbc,"['cardiomegaly', 'infiltration']",00007735_035.png,1.2.276.0.7230010.3.1.2.8323329.30415.1517874499.487265,35,32,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +1a93ba37-ec6b-4562-87b1-ca23be8a1e1e,"['infiltration', 'nodule']",00029731_000.png,1.2.276.0.7230010.3.1.2.8323329.30421.1517874499.583690,0,44,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +7e25d288-c664-4e8c-bd78-5db979b40b94,['no finding'],00024747_000.png,1.2.276.0.7230010.3.1.2.8323329.30424.1517874499.615577,0,22,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5c666895-9341-42c3-8e52-af6d4650066c,"['effusion', 'nodule']",00017651_009.png,1.2.276.0.7230010.3.1.2.8323329.30531.1517874502.869385,9,73,M,PA,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +4142f454-5785-4748-8f42-d32580595129,"['infiltration', 'nodule']",00020209_002.png,1.2.276.0.7230010.3.1.2.8323329.30536.1517874502.907204,2,67,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +611a59c3-68d4-48fd-84d9-74f67339b5e1,['infiltration'],00028634_000.png,1.2.276.0.7230010.3.1.2.8323329.30470.1517874500.255740,0,49,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +327684d0-5fb9-405d-826f-5c8954cea401,"['atelectasis', 'consolidation']",00014320_048.png,1.2.276.0.7230010.3.1.2.8323329.30472.1517874500.294726,48,26,F,AP,True,Lung Opacity,2.5,2.0,3.0,2.0,"[2, 3]",False 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Opacity,3.0,3.0,3.0,2.0,"[3, 3]",False +74912eef-96d3-4591-8b36-1767c9ce0ea0,['no finding'],00013110_000.png,1.2.276.0.7230010.3.1.2.8323329.30544.1517874502.946876,0,33,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f7446ce3-2bd4-48f1-a068-522b4f531c3f,"['edema', 'infiltration', 'pneumonia']",00018972_005.png,1.2.276.0.7230010.3.1.2.8323329.30495.1517874501.446912,5,52,F,AP,True,Lung Opacity,3.0,3.0,3.0,2.0,"[3, 3]",False +ad7c8d98-de29-4468-99ad-730b14f13571,['pneumothorax'],00028876_019.png,1.2.276.0.7230010.3.1.2.8323329.30501.1517874501.489660,19,41,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +edd06c7c-fd71-41e9-a6be-7124b956ea90,"['emphysema', 'pneumothorax']",00017046_002.png,1.2.276.0.7230010.3.1.2.8323329.30520.1517874502.807627,2,63,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +71a747b4-d566-4590-8a69-4176501f6884,"['infiltration', 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Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +b75e2a08-5609-474c-8ccd-7935e365f2f6,['no finding'],00001558_000.png,1.2.276.0.7230010.3.1.2.8323329.31046.1517874505.854132,0,55,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +82beb85f-6cea-4e41-8864-a0b0a7a4f739,"['infiltration', 'mass']",00018591_005.png,1.2.276.0.7230010.3.1.2.8323329.31031.1517874505.762647,5,66,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +469bc7dd-4d57-4f31-9852-dc3374575583,['infiltration'],00019528_015.png,1.2.276.0.7230010.3.1.2.8323329.31034.1517874505.784185,15,54,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c344e042-6caf-43fd-abb5-f8f7ca2b3741,['no finding'],00008388_000.png,1.2.276.0.7230010.3.1.2.8323329.31045.1517874505.850346,0,30,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +359ce100-a41f-40e2-ba95-c91b83725a35,"['atelectasis', 'consolidation', 'effusion', 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finding'],00019018_027.png,1.2.276.0.7230010.3.1.2.8323329.31050.1517874505.878762,27,71,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +b5df5721-d026-4638-8b8d-67260798f6a7,"['effusion', 'nodule']",00003393_042.png,1.2.276.0.7230010.3.1.2.8323329.31058.1517874505.927323,42,58,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +26ae031c-b211-45f4-ac4d-b2983db93aa6,['pleural_thickening'],00003337_006.png,1.2.276.0.7230010.3.1.2.8323329.31072.1517874506.10046,6,68,F,AP,True,Lung Opacity,1.0,1.0,1.0,1.0,[1],True +b3990283-9756-43a7-af4c-705ab086a439,"['consolidation', 'effusion']",00029159_028.png,1.2.276.0.7230010.3.1.2.8323329.31066.1517874505.976308,28,52,F,PA,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,2.0,"[1, 1]",True +90110c56-dcc0-48a0-992f-52281f3c76c1,"['consolidation', 'infiltration']",00001303_002.png,1.2.276.0.7230010.3.1.2.8323329.31084.1517874506.69723,2,24,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False 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Normal,-1.0,-1.0,-1.0,-1.0,-1,False +a771930c-cb2d-4fcd-8ee4-8ce2acdd1115,"['atelectasis', 'emphysema']",00028173_012.png,1.2.276.0.7230010.3.1.2.8323329.31319.1517874508.164826,12,16,F,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +5f5ae465-560f-47f7-82dc-0064db0c12f8,['atelectasis'],00018468_000.png,1.2.276.0.7230010.3.1.2.8323329.31329.1517874508.217455,0,59,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +3b266180-6af2-4859-9576-17fd9ab9fff1,"['effusion', 'infiltration']",00012834_037.png,1.2.276.0.7230010.3.1.2.8323329.31334.1517874508.263980,37,33,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +85a307fc-6a0c-4dd7-9402-7950496bb911,['consolidation'],00013111_003.png,1.2.276.0.7230010.3.1.2.8323329.31314.1517874508.128551,3,23,M,AP,False,No Lung Opacity / Not Normal,1.0,1.0,1.0,1.0,[1],True +0f266626-6804-4aaa-bd44-12d230a1c181,"['emphysema', 'pneumothorax']",00015136_002.png,1.2.276.0.7230010.3.1.2.8323329.31320.1517874508.153600,2,61,F,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +08da8f40-b186-473b-9fa3-1caa4ecdc02b,['infiltration'],00015646_051.png,1.2.276.0.7230010.3.1.2.8323329.31326.1517874508.186058,51,66,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +ae49d7bc-7d7d-4622-a4bf-9aaaa6128015,['no finding'],00008278_000.png,1.2.276.0.7230010.3.1.2.8323329.31328.1517874508.227538,0,65,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +483eb36d-93dc-4414-9af1-f9e10ae2754b,"['emphysema', 'pneumothorax']",00010767_024.png,1.2.276.0.7230010.3.1.2.8323329.31324.1517874508.176538,24,57,M,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +8fde7f84-5ddc-4b0d-9eb6-3daa4fcad8af,['no finding'],00018557_007.png,1.2.276.0.7230010.3.1.2.8323329.31337.1517874508.279090,7,68,M,AP,True,Lung Opacity,2.0,2.0,2.0,1.0,[2],False +cc7ab8d7-56f9-45e8-b585-c3dc132de8cf,"['edema', 'effusion', 'infiltration']",00006304_021.png,1.2.276.0.7230010.3.1.2.8323329.31358.1517874508.400254,21,67,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +4c05690d-628a-4ac5-8a41-6ee4e97a2663,['no finding'],00024924_000.png,1.2.276.0.7230010.3.1.2.8323329.31361.1517874508.422193,0,59,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +f8cf5335-860a-4248-8ee6-fa92dde76ab8,"['consolidation', 'nodule']",00017199_005.png,1.2.276.0.7230010.3.1.2.8323329.31331.1517874508.232722,5,45,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +16c5c9f0-e503-46b9-8f1c-1e752c24370e,['no finding'],00005401_004.png,1.2.276.0.7230010.3.1.2.8323329.31340.1517874508.289235,4,47,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +5b6c40fe-abd6-4cf8-8de4-b064aea86b5f,"['effusion', 'infiltration']",00011950_015.png,1.2.276.0.7230010.3.1.2.8323329.31381.1517874508.538927,15,64,F,PA,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +ad35c3e6-87b5-4114-b057-c223431c49f0,"['atelectasis', 'consolidation']",00010433_001.png,1.2.276.0.7230010.3.1.2.8323329.31332.1517874508.248800,1,20,F,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False 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+b33f8121-a8ca-4a55-a876-7c21714bf80a,"['infiltration', 'mass']",00007405_006.png,1.2.276.0.7230010.3.1.2.8323329.31505.1517874509.354181,6,54,M,AP,True,Lung Opacity,2.0,2.0,2.0,2.0,"[2, 2]",False +7e5312fe-3474-442c-a026-91a811f8ea9b,['no finding'],00019012_000.png,1.2.276.0.7230010.3.1.2.8323329.31511.1517874509.374879,0,50,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +76055dd9-0d99-4756-9f6e-3db33076f88f,"['atelectasis', 'infiltration']",00008067_004.png,1.2.276.0.7230010.3.1.2.8323329.31522.1517874509.448924,4,44,M,AP,False,No Lung Opacity / Not Normal,-1.0,-1.0,-1.0,-1.0,-1,False +207560f9-0c11-46f4-b6b3-9ee68a558565,['infiltration'],00022846_001.png,1.2.276.0.7230010.3.1.2.8323329.31531.1517874509.561512,1,52,F,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +edbc1975-81dd-4296-90f6-708e3f67e81a,['infiltration'],00027824_001.png,1.2.276.0.7230010.3.1.2.8323329.31510.1517874509.378338,1,46,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +e3d288f2-4411-4b63-b8d2-b1462a9d2aae,['no finding'],00017410_003.png,1.2.276.0.7230010.3.1.2.8323329.31516.1517874509.405685,3,48,M,AP,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +dc486475-0698-4f27-8b21-5a9eaa0e157f,['no finding'],00021650_000.png,1.2.276.0.7230010.3.1.2.8323329.31529.1517874509.543984,0,63,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False +c0dec778-b56c-4c6e-8132-a606e845235c,['pleural_thickening'],00004547_021.png,1.2.276.0.7230010.3.1.2.8323329.31513.1517874509.387919,21,55,M,PA,False,No Lung Opacity / Not Normal,2.0,2.0,2.0,1.0,[2],True +7f81fcb5-397d-4a3e-acaf-6837b5fc19d6,['cardiomegaly'],00000032_029.png,1.2.276.0.7230010.3.1.2.8323329.31532.1517874509.573478,29,55,F,AP,True,Lung Opacity,2.5,2.0,3.0,2.0,"[3, 2]",False +1bf08f3b-a273-4f51-bafa-b55ada2c23b5,"['cardiomegaly', 'effusion']",00026538_022.png,1.2.276.0.7230010.3.1.2.8323329.31533.1517874509.634916,22,21,F,AP,True,Lung Opacity,3.0,3.0,3.0,4.0,"[3, 3, 3, 3]",False +ac38e730-300e-4267-88ec-5247c0b90ed5,['no finding'],00009644_001.png,1.2.276.0.7230010.3.1.2.8323329.31524.1517874509.477748,1,71,M,PA,False,Normal,-1.0,-1.0,-1.0,-1.0,-1,False diff --git a/data_handling/sampler.py b/data_handling/sampler.py new file mode 100644 index 0000000..e559a40 --- /dev/null +++ b/data_handling/sampler.py @@ -0,0 +1,223 @@ +import numpy as np +from torch.utils.data.sampler import BatchSampler, WeightedRandomSampler + + +class SamplerFactory: + """ + Factory class to create balanced samplers. + """ + + def get(self, class_idxs, batch_size, n_batches, alpha, kind): + """ + Parameters + ---------- + class_idxs : 2D list of ints + List of sample indices for each class. Eg. [[0, 1], [2, 3]] implies indices 0, 1 + belong to class 0, and indices 2, 3 belong to class 1. + + batch_size : int + The batch size to use. + + n_batches : int + The number of batches per epoch. + + alpha : numeric in range [0, 1] + Weighting term used to determine weights of each class in each batch. + When `alpha` == 0, the batch class distribution will approximate the training population + class distribution. + When `alpha` == 1, the batch class distribution will approximate a uniform distribution, + with equal number of samples from each class. + + kind : str ['fixed' | 'random'] + The kind of sampler. `Fixed` will ensure each batch contains a constant proportion of + samples from each class. `Random` will simply sample with replacement according to the + calculated weights. + """ + if kind == "random": + return self.random(class_idxs, batch_size, n_batches, alpha) + if kind == "fixed": + return self.fixed(class_idxs, batch_size, n_batches, alpha) + raise Exception(f"Received kind {kind}, must be `random` or `fixed`") + + def random(self, class_idxs, batch_size, n_batches, alpha): + print(f"Creating `{WeightedRandomBatchSampler.__class__.__name__}`...") + class_sizes, weights = self._weight_classes(class_idxs, alpha) + sample_rates = self._sample_rates(weights, class_sizes) + return WeightedRandomBatchSampler( + sample_rates, class_idxs, batch_size, n_batches + ) + + def fixed(self, class_idxs, batch_size, n_batches, alpha): + print(f"Creating `{WeightedFixedBatchSampler.__class__.__name__}`...") + class_sizes, weights = self._weight_classes(class_idxs, alpha) + class_samples_per_batch = self._fix_batches( + weights, class_sizes, batch_size, n_batches + ) + return WeightedFixedBatchSampler(class_samples_per_batch, class_idxs, n_batches) + + def _weight_classes(self, class_idxs, alpha): + class_sizes = np.asarray([len(idxs) for idxs in class_idxs]) + n_samples = class_sizes.sum() + n_classes = len(class_idxs) + + original_weights = np.asarray([size / n_samples for size in class_sizes]) + uniform_weights = np.repeat(1 / n_classes, n_classes) + + print(f"Sample population absolute class sizes: {class_sizes}") + print(f"Sample population relative class sizes: {original_weights}") + + weights = self._balance_weights(uniform_weights, original_weights, alpha) + return class_sizes, weights + + def _balance_weights(self, weight_a, weight_b, alpha): + assert ( + alpha >= 0 and alpha <= 1 + ), f"invalid alpha {alpha}, must be 0 <= alpha <= 1" + beta = 1 - alpha + weights = (alpha * weight_a) + (beta * weight_b) + print(f"Target batch class distribution {weights} using alpha={alpha}") + return weights + + def _sample_rates(self, weights, class_sizes): + return weights / class_sizes + + def _fix_batches(self, weights, class_sizes, batch_size, n_batches): + """ + Calculates the number of samples of each class to include in each batch, and the number + of batches required to use all the data in an epoch. + """ + class_samples_per_batch = np.round((weights * batch_size)).astype(int) + + # cleanup rounding edge-cases + remainder = batch_size - class_samples_per_batch.sum() + largest_class = np.argmax(class_samples_per_batch) + class_samples_per_batch[largest_class] += remainder + + assert class_samples_per_batch.sum() == batch_size + + proportions_of_class_per_batch = class_samples_per_batch / batch_size + print(f"Rounded batch class distribution {proportions_of_class_per_batch}") + + proportions_of_samples_per_batch = class_samples_per_batch / class_sizes + + print( + f"Expecting {class_samples_per_batch} samples of each class per batch, " + f"over {n_batches} batches of size {batch_size}" + ) + + oversample_rates = proportions_of_samples_per_batch * n_batches + print(f"Sampling rates: {oversample_rates}") + + return class_samples_per_batch + + +class WeightedRandomBatchSampler(BatchSampler): + """ + Samples with replacement according to the provided weights. + + Parameters + ---------- + class_weights : `numpy.array(int)` + The number of samples of each class to include in each batch. + + class_idxs : 2D list of ints + The indices that correspond to samples of each class. + + batch_size : int + The size of each batch yielded. + + n_batches : int + The number of batches to yield. + """ + + def __init__(self, class_weights, class_idxs, batch_size, n_batches): + self.sample_idxs = [] + for idxs in class_idxs: + self.sample_idxs.extend(idxs) + + sample_weights = [] + for c, weight in enumerate(class_weights): + sample_weights.extend([weight] * len(class_idxs[c])) + + self.sampler = WeightedRandomSampler( + sample_weights, batch_size, replacement=True + ) + self.n_batches = n_batches + + def __iter__(self): + for bidx in range(self.n_batches): + selected = [] + for idx in self.sampler: + selected.append(self.sample_idxs[idx]) + yield selected + + def __len__(self): + return self.n_batches + + +class WeightedFixedBatchSampler(BatchSampler): + """ + Ensures each batch contains a given class distribution. + + The lists of indices for each class are shuffled at the start of each call to `__iter__`. + + Parameters + ---------- + class_samples_per_batch : `numpy.array(int)` + The number of samples of each class to include in each batch. + + class_idxs : 2D list of ints + The indices that correspond to samples of each class. + + n_batches : int + The number of batches to yield. + """ + + def __init__(self, class_samples_per_batch, class_idxs, n_batches): + self.class_samples_per_batch = class_samples_per_batch + self.class_idxs = [CircularList(idx) for idx in class_idxs] + self.n_batches = n_batches + + self.n_classes = len(self.class_samples_per_batch) + self.batch_size = self.class_samples_per_batch.sum() + + assert len(self.class_samples_per_batch) == len(self.class_idxs) + assert isinstance(self.n_batches, int) + + def _get_batch(self, start_idxs): + selected = [] + for c, size in enumerate(self.class_samples_per_batch): + selected.extend( + self.class_idxs[c][start_idxs[c] : (start_idxs[c] + size)] # noqa + ) + np.random.shuffle(selected) + return selected + + def __iter__(self): + [cidx.shuffle() for cidx in self.class_idxs] + start_idxs = np.zeros(self.n_classes, dtype=int) + for bidx in range(self.n_batches): + yield self._get_batch(start_idxs) + start_idxs += self.class_samples_per_batch + + def __len__(self): + return self.n_batches + + +class CircularList: + """ + Applies modulo function to indexing. + """ + + def __init__(self, items): + self._items = items + self._mod = len(self._items) + self.shuffle() + + def shuffle(self): + np.random.shuffle(self._items) + + def __getitem__(self, key): + if isinstance(key, slice): + return [self[i] for i in range(key.start, key.stop)] + return self._items[key % self._mod] diff --git a/data_handling/vindr_to_png.py b/data_handling/vindr_to_png.py new file mode 100644 index 0000000..2b6e072 --- /dev/null +++ b/data_handling/vindr_to_png.py @@ -0,0 +1,120 @@ +import numpy as np +import pydicom + + +def convert_dicom_to_png(dicom_file: str) -> np.ndarray: + """ + Taken from https://github.com/vinbigdata-medical/vindr-mammo/blob/master/visualize.py + dicom_file: path to the dicom fife + + return + gray scale image with pixel intensity in the range [0,255] + None if cannot convert + + """ + data = pydicom.read_file(dicom_file) + if ( + ("WindowCenter" not in data) + or ("WindowWidth" not in data) + or ("PhotometricInterpretation" not in data) + or ("RescaleSlope" not in data) + or ("PresentationIntentType" not in data) + or ("RescaleIntercept" not in data) + ): + print(f"{dicom_file} DICOM file does not have required fields") + return + + intentType = data.data_element("PresentationIntentType").value + if str(intentType).split(" ")[-1] == "PROCESSING": + print(f"{dicom_file} got processing file") + return + + c = data.data_element("WindowCenter").value # data[0x0028, 0x1050].value + w = data.data_element("WindowWidth").value # data[0x0028, 0x1051].value + if isinstance(c, pydicom.multival.MultiValue): + c = c[0] + w = w[0] + + photometricInterpretation = data.data_element("PhotometricInterpretation").value + + try: + a = data.pixel_array + except: # noqa + print(f"{dicom_file} Cannot get get pixel_array!") + return + + slope = data.data_element("RescaleSlope").value + intercept = data.data_element("RescaleIntercept").value + a = a * slope + intercept + + try: + pad_val = data.get("PixelPaddingValue") + pad_limit = data.get("PixelPaddingRangeLimit", -99999) + if pad_limit == -99999: + mask_pad = a == pad_val + else: + if str(photometricInterpretation) == "MONOCHROME2": + mask_pad = (a >= pad_val) & (a <= pad_limit) + else: + mask_pad = (a >= pad_limit) & (a <= pad_val) + except: # noqa + # Manually create padding mask + # this is based on the assumption that padding values take + # majority of the histogram + print(f"{dicom_file} has no PixelPaddingValue") + a = a.astype(np.int) + pixels, pixel_counts = np.unique(a, return_counts=True) + sorted_idxs = np.argsort(pixel_counts)[::-1] + sorted_pixel_counts = pixel_counts[sorted_idxs] + sorted_pixels = pixels[sorted_idxs] + mask_pad = a == sorted_pixels[0] + try: + # if the second most frequent value (if any) is significantly more frequent + # than the third then + # it is also considered padding value + if sorted_pixel_counts[1] > sorted_pixel_counts[2] * 10: + mask_pad = np.logical_or(mask_pad, a == sorted_pixels[1]) + print( + f"{dicom_file} most frequent pixel values: {sorted_pixels[0]}; {sorted_pixels[1]}" # noqa + ) + except: # noqa + print(f"{dicom_file} most frequent pixel value {sorted_pixels[0]}") + + # apply window + mm = c - 0.5 - (w - 1) / 2 + MM = c - 0.5 + (w - 1) / 2 + a[a < mm] = 0 + a[a > MM] = 255 + mask = (a >= mm) & (a <= MM) + a[mask] = ((a[mask] - (c - 0.5)) / (w - 1) + 0.5) * 255 + + if str(photometricInterpretation) == "MONOCHROME1": + a = 255 - a + + a[mask_pad] = 0 + return a + + +if __name__ == "__main__": + import pandas as pd + from pathlib import Path + import cv2 + from tqdm import tqdm + + df = pd.read_csv("/vol/biodata/data/Mammo/VinDr-Mammo/breast-level_annotations.csv") + study_ids = df.study_id.values + image_ids = df.image_id.values + orig_dir = Path("/vol/biodata/data/Mammo/VinDr-Mammo/images") + target_dir = Path("/vol/biomedic3/data/VinDR-Mammo/pngs") + + for img_id, study_id in tqdm(zip(image_ids, study_ids)): + rel_path = Path(study_id) / img_id + orig_path = orig_dir / study_id / f"{img_id}.dicom" + png_img = convert_dicom_to_png(orig_path) + target_path = target_dir / study_id / f"{img_id}.png" + target_path.parent.mkdir(exist_ok=True, parents=True) + success = cv2.imwrite(str(target_path), png_img) + try: + assert success + except AssertionError: + print(target_path) diff --git a/data_handling/xray.py b/data_handling/xray.py new file mode 100644 index 0000000..2378449 --- /dev/null +++ b/data_handling/xray.py @@ -0,0 +1,543 @@ +from pathlib import Path +from typing import Callable, Dict, Optional +import numpy as np + +import pandas as pd +from sklearn.model_selection import train_test_split +import torch +from torch.utils.data import Dataset +from skimage import io +from torchvision.transforms import ToTensor, Resize, CenterCrop +from data_handling.base import BaseDataModuleClass +from datetime import datetime + +from data_handling.caching import SharedCache + + +# Please update this with your own paths. +DATA_DIR_RSNA = Path("/vol/biomedic3/mb121/rsna-pneumonia-detection-challenge") +DATA_DIR_RSNA_PROCESSED_IMAGES = DATA_DIR_RSNA / "preprocess_224_224" +PATH_TO_PNEUMONIA_WITH_METADATA_CSV = ( + Path(__file__).parent / "pneumonia_dataset_with_metadata.csv" +) + +PADCHEST_ROOT = Path("/vol/biodata/data/chest_xray/BIMCV-PADCHEST") +PADCHEST_IMAGES = PADCHEST_ROOT / "images" + + +def prepare_padchest_csv(): + df = pd.read_csv( + PADCHEST_ROOT / "PADCHEST_chest_x_ray_images_labels_160K_01.02.19.csv" + ) + df = df.loc[df.Projection == "PA"] + df = df.loc[df.Pediatric == "No"] + + def process(x, target): + if isinstance(x, str): + list_labels = x[1:-1].split(",") + list_labels = [label.replace("'", "").strip() for label in list_labels] + return target in list_labels + else: + return False + + for label in [ + "pneumonia", + "exclude", + "suboptimal study", + ]: + df[label] = df.Labels.astype(str).apply(lambda x: process(x, label)) + print(df[label].value_counts()) + df = df.loc[~df.exclude] + df = df.loc[~df["suboptimal study"]] + df["Manufacturer"] = df.Manufacturer_DICOM.apply( + lambda x: "Phillips" if x == "PhilipsMedicalSystems" else "Imaging" + ) + df = df.loc[df["PatientSex_DICOM"].isin(["M", "F"])] + df["PatientAge"] = ( + df.StudyDate_DICOM.apply(lambda x: datetime.strptime(str(x), "%Y%M%d").year) + - df.PatientBirth + ) + invalid_filenames = [ + "216840111366964013829543166512013353113303615_02-092-190.png", + "216840111366964013962490064942014134093945580_01-178-104.png", + "216840111366964012989926673512011151082430686_00-157-045.png", + "216840111366964012558082906712009327122220177_00-102-064.png", + "216840111366964012959786098432011033083840143_00-176-115.png", + "216840111366964012373310883942009152114636712_00-102-045.png", + "216840111366964012487858717522009280135853083_00-075-001.png", + "216840111366964012819207061112010307142602253_04-014-084.png", + "216840111366964012989926673512011074122523403_00-163-058.png", + "216840111366964013590140476722013058110301622_02-056-111.png", + "216840111366964012339356563862009072111404053_00-043-192.png", + "216840111366964013590140476722013043111952381_02-065-198.png", + "216840111366964012819207061112010281134410801_00-129-131.png", + "216840111366964013686042548532013208193054515_02-026-007.png", + "216840111366964012989926673512011083134050913_00-168-009.png" + # '216840111366964013590140476722013058110301622_02-056-111.png' + ] + df = df.loc[~df.ImageID.isin(invalid_filenames)] + return df + + +class PadChestDataModule(BaseDataModuleClass): + def create_datasets(self): + df = prepare_padchest_csv() + label_col = self.config.data.label + + train_val_id, test_id = train_test_split( + df.PatientID.unique(), + test_size=0.20, + random_state=33, + ) + + train_id, val_id = train_test_split( + train_val_id, + test_size=0.10, + random_state=33, + ) + + if self.config.data.prop_train < 1.0: + rng = np.random.default_rng(33) + train_id = rng.choice( + train_id, + size=int(self.config.data.prop_train * train_id.shape[0]), + replace=False, + ) + + self.dataset_train = PadChestDataset( + df=df.loc[df.PatientID.isin(train_id)], + transform=self.train_tsfm, + label_column=label_col, + parents=self.parents, + cache=self.config.data.cache, + use_counterfactuals=self.config.data.use_counterfactuals, + counterfactual_contrastive_pairs=self.config.data.counterfactual_contrastive, + ) + + self.dataset_val = PadChestDataset( + df=df.loc[df.PatientID.isin(val_id)], + transform=self.val_tsfm, + label_column=label_col, + parents=self.parents, + cache=self.config.data.cache, + ) + + self.dataset_test = PadChestDataset( + df=df.loc[df.PatientID.isin(test_id)], + transform=self.val_tsfm, + label_column=label_col, + cache=self.config.data.cache, + ) + + @property + def dataset_name(self): + return "padchest" + + @property + def num_classes(self): + return 2 + + +class CheXpertDataModule(BaseDataModuleClass): + def create_datasets(self): + label_col = self.config.data.label + df = pd.read_csv("/vol/biodata/data/chest_xray/CheXpert-v1.0/meta/train.csv") + df.fillna(0, inplace=True) # assume no mention is like negative + df = df.loc[df["AP/PA"] == "PA"] + df = df.loc[df[self.config.data.label] != -1] # remove the uncertain cases + df["PatientID"] = df["Path"].apply( + lambda x: int(Path(x).parent.parent.stem[-5:]) + ) + patient_id = df["PatientID"].unique() + train_val_id, test_id = train_test_split( + patient_id, test_size=0.4, random_state=33 + ) + train_id, val_id = train_test_split( + train_val_id, test_size=0.15, random_state=33 + ) + + if self.config.data.prop_train < 1.0: + rng = np.random.default_rng(33) + train_id = rng.choice( + train_id, + size=int(self.config.data.prop_train * train_id.shape[0]), + replace=False, + ) + + self.dataset_train = CheXpertDataset( + df=df.loc[df.PatientID.isin(train_id)], + transform=self.train_tsfm, + cache=self.config.data.cache, + label_col=label_col, + ) + + self.dataset_val = CheXpertDataset( + df=df.loc[df.PatientID.isin(val_id)], + transform=self.val_tsfm, + cache=self.config.data.cache, + label_col=label_col, + ) + + self.dataset_test = CheXpertDataset( + df=df.loc[df.PatientID.isin(test_id)], + transform=self.val_tsfm, + cache=self.config.data.cache, + label_col=label_col, + ) + + @property + def dataset_name(self): + return "chexpert" + + @property + def num_classes(self): + return 2 + + +class PadChestDataset(Dataset): + def __init__( + self, + df: pd.DataFrame, + label_column: str, + transform: Callable, + parents: Optional = None, + cache: bool = False, + use_counterfactuals: bool = False, + counterfactual_contrastive_pairs: bool = True, + ): + super().__init__() + print(f"Len {len(df)}") + self.counterfactual_contrastive_pairs = counterfactual_contrastive_pairs + self.parents = parents + self.use_counterfactuals = use_counterfactuals + self.label_col = label_column + self.pneumonia = df.pneumonia.astype(int).values + self.img_paths = df.ImageID.values + self.genders = df.PatientSex_DICOM.values + self.ages = df.PatientAge.values + self.manufacturers = df.Manufacturer.values + self.cache = cache + self.transform = transform + + if cache: + self.cache = SharedCache( + size_limit_gib=24, + dataset_len=self.img_paths.shape[0], + data_dims=[1, 224, 224], + dtype=torch.float32, + ) + else: + self.cache = None + + def __len__(self): + return len(self.img_paths) + + def read_image(self, idx): + try: + img = io.imread(PADCHEST_IMAGES / self.img_paths[idx], as_gray=True) + except: # noqa + from PIL import ImageFile + + ImageFile.LOAD_TRUNCATED_IMAGES = True + print(self.img_paths[idx]) + img = io.imread(PADCHEST_IMAGES / self.img_paths[idx], as_gray=True) + print("success") + ImageFile.LOAD_TRUNCATED_IMAGES = False + img = img / (img.max() + 1e-12) + img = CenterCrop(224)(Resize(224, antialias=True)(ToTensor()(img))) + return img + + def __getitem__(self, idx: int) -> Dict: + if self.cache is not None: + img = self.cache.get_slot(idx) + if img is None: + img = self.read_image(idx) + self.cache.set_slot(idx, img, allow_overwrite=True) + + else: + img = self.read_image(idx) + + sample = {} + sample["pneumonia"] = self.pneumonia[idx] + sample["age"] = self.ages[idx] / 100 + sample["sex"] = 0 if self.genders[idx] == "M" else 1 + sample["scanner"] = 0 if self.manufacturers[idx] == "Phillips" else 1 + sample["y"] = sample[self.label_col] + sample["shortpath"] = self.img_paths[idx] + + if self.parents is not None: + sample["pa"] = torch.cat( + [ + sample[c] + if isinstance(sample[c], torch.Tensor) + else torch.tensor([sample[c]]) + for c in self.parents + ] + ).detach() + + if self.use_counterfactuals: + cfx = self.load_counterfactual_image(idx) + if not self.counterfactual_contrastive_pairs: + img = cfx.clone() + img = self.transform(img) + cfx = self.transform(cfx) + img = torch.stack([img, cfx], dim=0).float() + else: + img = self.transform(img).float() + + sample["x"] = img + + return sample + + def load_counterfactual_image(self, idx): + cf_dir = Path("padchest_cf_images_v0") + short_path = self.img_paths[idx][:-4] + filename = cf_dir / f"{short_path}_sc_cf.png" + img = io.imread(str(filename), as_gray=True) / 255.0 + img = img / (img.max() + 1e-12) + img = ToTensor()(img) + assert img.max() <= 1 + return img + + +class CheXpertDataset(Dataset): + def __init__( + self, + df: pd.DataFrame, + label_col: str, + transform: Callable, + cache: bool = False, + ): + super().__init__() + print(f"Len dataset {len(df)}") + df.fillna(0, inplace=True) + self.labels = df[label_col].astype(int).values + self.img_paths = df.Path.values + self.genders = df.Sex.values + self.ages = df.Age.values + self.cache = cache + self.transform = transform + + if cache: + self.cache = SharedCache( + size_limit_gib=24, + dataset_len=self.img_paths.shape[0], + data_dims=[1, 224, 224], + dtype=torch.float32, + ) + else: + self.cache = None + + def __len__(self): + return len(self.img_paths) + + def read_image(self, idx): + img = io.imread( + Path("/vol/biodata/data/chest_xray") / self.img_paths[idx], as_gray=True + ) + img = img / (img.max() + 1e-12) + img = CenterCrop(224)(Resize(224, antialias=True)(ToTensor()(img))) + return img + + def __getitem__(self, idx: int) -> Dict: + if self.cache is not None: + img = self.cache.get_slot(idx) + if img is None: + img = self.read_image(idx) + self.cache.set_slot(idx, img, allow_overwrite=False) + else: + img = self.read_image(idx) + + sample = {} + sample["age"] = self.ages[idx] / 100 + sample["sex"] = 0 if self.genders[idx] == "Male" else 1 + sample["y"] = self.labels[idx] + sample["shortpath"] = self.img_paths[idx] + sample["x"] = self.transform(img).float() + return sample + + +class RNSAPneumoniaDetectionDataset(Dataset): + def __init__( + self, + df: pd.DataFrame, + transform: Callable, + parents: Optional = None, + cache: bool = False, + use_counterfactuals: bool = False, + counterfactual_contrastive_pairs: bool = True, + ) -> None: + """ + Torchvision dataset for loading RSNA dataset. + Args: + root: the data directory where the images can be found + dataframe: the csv file mapping patient id, metadata, file names and label. + transform: the transformation (i.e. preprocessing and / or augmentation) + to apply to the image after loading them. + + This dataset returns a dictionary with the image data, label and metadata. + """ + super().__init__() + self.transform = transform + self.parents = parents + self.use_counterfactuals = use_counterfactuals + self.counterfactual_contrastive_pairs = counterfactual_contrastive_pairs + self.df = df + self.targets = self.df.label_rsna_pneumonia.values.astype(np.int64) + self.subject_ids = self.df.patientId.unique() + self.filenames = [ + DATA_DIR_RSNA_PROCESSED_IMAGES / f"{subject_id}.png" + for subject_id in self.subject_ids + ] + self.genders = self.df["Patient Gender"].values + self.genders = [0 if g == 0 else 1 for g in self.genders] + self.ages = self.df["Patient Age"].values.astype(int) + if cache: + self.cache = SharedCache( + size_limit_gib=24, + dataset_len=len(self.filenames), + data_dims=[1, 224, 224], + dtype=torch.float32, + ) + else: + self.cache = None + + def read_image(self, idx): + img = io.imread(self.filenames[idx], as_gray=True) + img = img / (img.max() + 1e-12) + img = CenterCrop(224)(Resize(224, antialias=True)(ToTensor()(img))) + return img + + def __getitem__(self, index: int): + img = self.read_image(index) + sample = { + "y": self.targets[index], + "gender": self.genders[index], + "pneumonia": self.targets[index], + "sex": 1 if self.genders[index] == "M" else 0, + "age": self.ages[index], + "scanner": np.nan, + } + + if self.parents is not None: + sample["pa"] = torch.cat( + [ + sample[c] + if isinstance(sample[c], torch.Tensor) + else torch.tensor([sample[c]]) + for c in self.parents + ] + ).detach() + + if self.use_counterfactuals: + if torch.rand(1).item() > 0.5: + cfx = img.clone() + else: + cfx = self.load_counterfactual_image(index) + if not self.counterfactual_contrastive_pairs: + img = cfx.clone() + img = self.transform(img) + cfx = self.transform(cfx) + img = torch.stack([img, cfx], dim=0).float() + else: + img = self.transform(img).float() + + sample["x"] = img + + return sample + + def __len__(self) -> int: + return len(self.filenames) + + def load_counterfactual_image(self, index): + raise NotImplementedError + + +class RSNAPneumoniaDataModule(BaseDataModuleClass): + def create_datasets(self): + """ + Pytorch Lightning DataModule defining train / val / test splits for the RSNA dataset. + """ + if not DATA_DIR_RSNA_PROCESSED_IMAGES.exists(): + print( + f"Data dir: {DATA_DIR_RSNA_PROCESSED_IMAGES} does not exist." + + " Have you updated default_paths.py?" + ) + + if not PATH_TO_PNEUMONIA_WITH_METADATA_CSV.exists(): + print( + """ + The dataset can be found at + https://www.kaggle.com/c/rsna-pneumonia-detection-challenge + This dataset is originally a (relabelled) subset of the NIH dataset + https://www.kaggle.com/datasets/nih-chest-xrays/data from + which i took the metadata. + To get the full csv with all the metadata please run + data_handling/csv_generation_code/rsna_generate_full_csv.py + """ + ) + df_with_all_labels = pd.read_csv(PATH_TO_PNEUMONIA_WITH_METADATA_CSV) + df_with_all_labels = df_with_all_labels.loc[ + df_with_all_labels["View Position"] == "PA" + ] + + random_seed_for_splits = 33 + + indices_train_val, indices_test = train_test_split( + np.arange(len(df_with_all_labels)), + test_size=0.3, + random_state=random_seed_for_splits, + ) + train_val_df = df_with_all_labels.iloc[indices_train_val] + test_df = df_with_all_labels.iloc[indices_test] + + # Further split train and val + indices_train, indices_val = train_test_split( + np.arange(len(train_val_df)), + test_size=0.15, + random_state=random_seed_for_splits, + ) + + if self.config.data.prop_train < 1.0: + rng = np.random.default_rng(33) + indices_train = rng.choice( + indices_train, + size=int(self.config.data.prop_train * indices_train.shape[0]), + replace=False, + ) + + train_df = train_val_df.iloc[indices_train] + val_df = train_val_df.iloc[indices_val] + print( + f"N patients train {indices_train.shape[0]}, val {indices_val.shape[0]}, test {indices_test.shape[0]}" # noqa + ) + + self.dataset_train = RNSAPneumoniaDetectionDataset( + df=train_df, + transform=self.train_tsfm, + parents=self.parents, + cache=self.config.data.cache, + use_counterfactuals=self.config.data.use_counterfactuals, + counterfactual_contrastive_pairs=self.config.data.counterfactual_contrastive, + ) + self.dataset_val = RNSAPneumoniaDetectionDataset( + df=val_df, + transform=self.val_tsfm, + parents=self.parents, + cache=self.config.data.cache, + ) + + self.dataset_test = RNSAPneumoniaDetectionDataset( + df=test_df, + transform=self.val_tsfm, + parents=self.parents, + cache=self.config.data.cache, + ) + + print("#train: ", len(self.dataset_train)) + print("#val: ", len(self.dataset_val)) + print("#test: ", len(self.dataset_test)) + + @property + def num_classes(self): + return 2 diff --git a/environmentCI.yml b/environmentCI.yml new file mode 100644 index 0000000..98a4182 --- /dev/null +++ b/environmentCI.yml @@ -0,0 +1,24 @@ +channels: + - pytorch + - default +dependencies: + - python=3.11 + - pytorch + - torchvision + - pip + - pip: + - lightning + - pandas + - numpy + - scikit-learn + - hydra-core + - wandb + - jupyter + - flake8 + - black + - matplotlib + - seaborn + - pytest + - pyro_ppl==1.8.4 + - Send2Trash==1.8.2 + - imageio==2.26.0 \ No newline at end of file diff --git a/environment_gpu.yml b/environment_gpu.yml new file mode 100644 index 0000000..d2e1392 --- /dev/null +++ b/environment_gpu.yml @@ -0,0 +1,29 @@ +channels: + - pytorch + - nvidia + - default +dependencies: + - python=3.11 + - pytorch + - torchvision + - pytorch-cuda=12.1 + - pip + - pip: + - lightning + - pandas + - numpy + - scikit-learn + - hydra-core + - wandb + - jupyter + - flake8 + - black + - matplotlib + - seaborn + - pytest + - pyro_ppl==1.8.4 + - Send2Trash==1.8.2 + - imageio==2.26.0 + - opencv-python + - tensorboard + - scikit-image \ No newline at end of file diff --git a/evaluation/chexpert_pneumo.ipynb b/evaluation/chexpert_pneumo.ipynb new file mode 100644 index 0000000..49d189c --- /dev/null +++ b/evaluation/chexpert_pneumo.ipynb @@ -0,0 +1,211 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "import seaborn as sns\n", + "\n", + "sys.path.append(\"/vol/biomedic3/mb121/causal-contrastive\")\n", + "\n", + "from sklearn.metrics import roc_auc_score, balanced_accuracy_score\n", + "\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "from classification.classification_module import ClassificationModule\n", + "\n", + "from hydra import compose, initialize\n", + "import pandas as pd\n", + "from data_handling.padchest import CheXpertDataModule\n", + "\n", + "import matplotlib\n", + "from evaluation.helper_functions import (\n", + " extract_train_label_prop,\n", + " extract_run_type,\n", + " extract_pretraining_type,\n", + " extract_finetuning_type,\n", + " run_inference,\n", + ")\n", + "\n", + "sns.set_theme(context=\"paper\", style=\"whitegrid\", font_scale=1.5)\n", + "matplotlib.rcParams[\"font.family\"] = \"serif\"\n", + "import os\n", + "\n", + "os.chdir(\"/vol/biomedic3/mb121/causal-contrastive/evaluation\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "model_dict_normal = {\n", + " \"simclr-1.0-33\": \"84lv0t6h\",\n", + " \"simclr-1.0-22\": \"yp8kgxkn\",\n", + " \"simclr-1.0-11\": \"wmbptk3z\",\n", + " \"simclr-0.1-33\": \"wtces7tl\",\n", + " \"simclr-0.1-22\": \"c0qmmgx1\",\n", + " \"simclr-0.1-11\": \"ouucdcl5\",\n", + " \"supervised-0.1-11\": \"1kd02vig\",\n", + " \"supervised-1.0-22\": \"u6mm38zx\",\n", + " \"supervised-1.0-33\": \"wgq57ak4\",\n", + " \"supervised-1.0-11\": \"1e18dovk\",\n", + " \"supervised-0.1-33\": \"1njtbkre\",\n", + " \"supervised-0.1-22\": \"yl2qnv2s\",\n", + " \"simclrcfaug-1.0-33\": \"toecr61u\",\n", + " \"simclrcfaug-0.1-33\": \"vvkk0rqq\",\n", + " \"simclrcfaug-1.0-22\": \"msyiln0g\",\n", + " \"simclrcfaug-0.1-22\": \"tmjl2u4z\",\n", + " \"simclrcfaug-1.0-11\": \"enhr8r5w\",\n", + " \"simclrcfaug-0.1-11\": \"528qi412\",\n", + " \"simclrcf-0.1-11\": \"gxzgrx09\",\n", + " \"simclrcf-1.0-11\": \"mydv7jl9\",\n", + " \"simclrcf-0.1-22\": \"7fmc7i5u\",\n", + " \"simclrcf-1.0-22\": \"4nep2y5i\",\n", + " \"simclrcf-0.1-33\": \"rth6ff0x\",\n", + " \"simclrcf-1.0-33\": \"0ra6hohi\",\n", + " \"simclrcfhead-1.0-33\": \"6wcu7gvc\",\n", + " \"simclrcfhead-0.1-33\": \"n4ikil6m\",\n", + " \"simclrcfhead-1.0-22\": \"tz12fzrn\",\n", + " \"simclrcfhead-0.1-22\": \"k4fudcms\",\n", + " \"simclrcfhead-1.0-11\": \"kyterglf\",\n", + " \"simclrcfhead-0.1-11\": \"90fjagss\",\n", + " \"simclrcf-0.25-11\": \"gf75s11v\",\n", + " \"simclrcf-0.25-33\": \"tgot0avm\",\n", + " \"simclrcf-0.25-22\": \"dqozk1f5\",\n", + " \"simclr-0.25-11\": \"np395uhs\",\n", + " \"simclr-0.25-22\": \"ypyw4lrc\",\n", + " \"simclr-0.25-33\": \"nrep0c0s\",\n", + " \"simclrcfaug-0.25-11\": \"vos0kkys\",\n", + " \"simclrcfaug-0.25-22\": \"p0ic7hbb\",\n", + " \"simclrcfaug-0.25-33\": \"dxyr38as\",\n", + " \"simclrhead-0.1-11\": \"biw4ib4m\",\n", + " \"simclrcfaughead-0.1-11\": \"jmjtymks\",\n", + " \"simclrcfaughead-0.25-11\": \"073e0rqx\",\n", + " \"simclrhead-0.25-11\": \"by295tg3\",\n", + " \"simclrhead-1.0-11\": \"cflcfxy1\",\n", + " \"simclrcfaughead-1.0-11\": \"wut4tpcw\",\n", + " \"simclrcfaughead-0.1-22\": \"12iox806\",\n", + " \"simclrhead-0.1-22\": \"keggplfj\",\n", + " \"simclrcfaughead-0.25-22\": \"xa155jxa\",\n", + " \"simclrhead-0.25-22\": \"fhp2se09\",\n", + " \"simclrcfaughead-1.0-22\": \"y6tllsl9\",\n", + " \"simclrcfaughead-0.1-33\": \"lb8zjz2p\",\n", + " \"simclrhead-1.0-22\": \"k1sk453b\",\n", + " \"simclrcfaughead-0.25-33\": \"l5pvuj9s\",\n", + " \"simclrhead-0.25-33\": \"x5k0qjwn\",\n", + " \"simclrcfaughead-1.0-33\": \"suvlafdq\",\n", + " \"simclrcfhead-0.25-22\": \"j3xh5zum\",\n", + " \"simclrcfhead-0.25-33\": \"jfuql9yq\",\n", + " \"simclrcfhead-0.25-11\": \"h92wu2up\",\n", + " \"simclrhead-0.1-33\": \"x7afc3ic\",\n", + " \"simclrhead-1.0-33\": \"gj75gyod\",\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "with initialize(version_base=None, config_path=\"../configs\"):\n", + " cfg = compose(\n", + " config_name=\"config.yaml\",\n", + " overrides=[\n", + " \"experiment=base_padchestpneumo\",\n", + " \"data=chexpert\",\n", + " \"data.label=Pneumonia\",\n", + " \"data.cache=True\",\n", + " ],\n", + " )\n", + " data_module = CheXpertDataModule(config=cfg)\n", + "\n", + "test_dataloader = data_module.test_dataloader()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_csv(f\"../outputs/classification_chexfinetunepneumo_results.csv\")\n", + "for run_name, run_id in model_dict_normal.items():\n", + " already_in_df = run_name in df.run_name.values\n", + " if run_id != \"\" and not already_in_df:\n", + " print(run_name)\n", + " model_to_evaluate = f\"../outputs/run_{run_id}/best.ckpt\"\n", + " classification_model = ClassificationModule.load_from_checkpoint(\n", + " model_to_evaluate, map_location=\"cuda:0\", strict=False\n", + " ).model.eval()\n", + " classification_model.cuda()\n", + " inference_results = run_inference(test_dataloader, classification_model)\n", + " print(f\"\\nEvaluating CheXpert\")\n", + " res = {}\n", + " res[\"N_test\"] = [inference_results[\"targets\"].shape[0]]\n", + " res[\"Scanner\"] = [\"CheXpert\"]\n", + " res[\"Bal_Acc\"] = [\n", + " balanced_accuracy_score(\n", + " inference_results[\"targets\"], np.argmax(inference_results[\"confs\"], 1)\n", + " )\n", + " ]\n", + " res[\"run_name\"] = run_name\n", + " res[\"ROC\"] = [\n", + " roc_auc_score(\n", + " inference_results[\"targets\"], inference_results[\"confs\"][:, 1]\n", + " )\n", + " ]\n", + " print(res)\n", + " df = pd.concat([df, pd.DataFrame(res, index=[0])], ignore_index=True)\n", + " df.to_csv(\n", + " f\"../outputs/classification_chexfinetunepneumo_results.csv\", index=False\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df[\"ctrain_label_prop\"] = df.run_name.apply(extract_train_label_prop)\n", + "df[\"group\"] = df.run_name.apply(extract_run_type)\n", + "df[\"Pretraining\"] = df.group.apply(lambda x: extract_pretraining_type(x))\n", + "df[\"Classifier\"] = df.group.apply(lambda x: extract_finetuning_type(x))\n", + "tmp = (\n", + " df.groupby([\"Pretraining\", \"Classifier\", \"ctrain_label_prop\"])\n", + " .run_name.unique()\n", + " .apply(lambda x: len(x))\n", + ")\n", + "tmp.loc[tmp < 3]" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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 +} diff --git a/evaluation/embed_density.ipynb b/evaluation/embed_density.ipynb new file mode 100644 index 0000000..3547c41 --- /dev/null +++ b/evaluation/embed_density.ipynb @@ -0,0 +1,530 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Evaluation of linear probing/finetuning models on EMBED dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "import seaborn as sns\n", + "\n", + "sys.path.append(\"/vol/biomedic3/mb121/causal-contrastive\")\n", + "\n", + "from sklearn.metrics import roc_auc_score, balanced_accuracy_score\n", + "import pandas as pd\n", + "import torch\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from classification.classification_module import ClassificationModule\n", + "import re\n", + "from hydra import compose, initialize\n", + "\n", + "from data_handling.mammo import EmbedDataModule, modelname_map\n", + "from evaluation.helper_functions import (\n", + " extract_train_label_prop,\n", + " extract_run_type,\n", + " extract_pretraining_type,\n", + " extract_finetuning_type,\n", + " run_inference,\n", + ")\n", + "from sklearn.decomposition import PCA\n", + "from sklearn.manifold import TSNE\n", + "\n", + "rev_model_map = {v: k for k, v in modelname_map.items()}\n", + "import os\n", + "\n", + "os.chdir(\"/vol/biomedic3/mb121/causal-contrastive/evaluation\")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "model_dict = {\n", + " \"supervised-0.01-11\": \"pxt8qa9a\",\n", + " \"supervised-0.01-22\": \"pejcf0g2\",\n", + " \"supervised-0.01-33\": \"hanrntpx\",\n", + " \"supervised-0.05-11\": \"tovoj1oa\",\n", + " \"supervised-0.05-22\": \"36xkkga3\",\n", + " \"supervised-0.05-33\": \"h5fg9j3v\",\n", + " \"supervised-0.1-22\": \"cnmbk18a\",\n", + " \"supervised-0.1-11\": \"zyni8hft\",\n", + " \"supervised-0.1-33\": \"bhvd9v9r\",\n", + " \"supervised-0.25-11\": \"qdbyxgq6\",\n", + " \"supervised-0.25-22\": \"kzazkpjz\",\n", + " \"supervised-0.25-33\": \"gh6adhz5\",\n", + " \"supervised-1.0-33\": \"u1zedefy\",\n", + " \"supervised-1.0-11\": \"ynv4elgn\",\n", + " \"supervised-1.0-22\": \"qdjpdsbu\",\n", + " \"simclrhead-1.0-22\": \"c23ucrut\",\n", + " \"simclrhead-1.0-33\": \"al1yw5g1\",\n", + " \"simclrhead-0.01-22\": \"fcstcq4m\",\n", + " \"simclrhead-0.05-22\": \"4rkb07qp\",\n", + " \"simclrhead-0.1-22\": \"4kdbw3tn\",\n", + " \"simclrhead-0.01-11\": \"qehq8ywl\",\n", + " \"simclrhead-0.05-11\": \"szkv92wk\",\n", + " \"simclrhead-0.1-11\": \"xi9yfyj1\",\n", + " \"simclrhead-0.01-33\": \"9ot9ul0s\",\n", + " \"simclrhead-0.05-33\": \"q2txgcbe\",\n", + " \"simclrhead-0.1-33\": \"wtn08qbg\",\n", + " \"simclrhead-0.25-22\": \"43db30f0\",\n", + " \"simclrhead-0.25-11\": \"hdml1vz8\",\n", + " \"simclrhead-0.25-33\": \"yxz6ixyc\",\n", + " \"simclrcfhead-0.01-22\": \"q1wgmpaw\",\n", + " \"simclrcfhead-0.05-22\": \"00v5peyb\",\n", + " \"simclrcfhead-0.1-22\": \"lgmuodot\",\n", + " \"simclrcfhead-0.01-11\": \"fwyq91oj\",\n", + " \"simclrcfhead-0.05-11\": \"jsp93kpp\",\n", + " \"simclrcfhead-0.1-11\": \"ggir6eh2\",\n", + " \"simclrcfhead-0.01-33\": \"l7qee17l\",\n", + " \"simclrcfhead-0.05-33\": \"d31qhxby\",\n", + " \"simclrcfhead-0.1-33\": \"yuxiylvu\",\n", + " \"simclrcfhead-0.25-22\": \"i497ktks\",\n", + " \"simclrcfhead-0.25-11\": \"3utemt8e\",\n", + " \"simclrcfhead-0.25-33\": \"vmazb0lu\",\n", + " \"simclrcfhead-1.0-33\": \"apbnc0xw\",\n", + " \"simclrcfhead-1.0-11\": \"094g4tym\",\n", + " \"simclrcfhead-1.0-22\": \"o0hrjhbr\",\n", + " \"simclrcf-0.01-11\": \"um1y3iln\",\n", + " \"simclrcf-0.05-22\": \"stoqfdld\",\n", + " \"simclr-0.05-22\": \"pf0uqv2e\",\n", + " \"simclrcf-0.1-22\": \"jk0xk1yq\",\n", + " \"simclr-0.05-11\": \"j7qg2zcf\",\n", + " \"simclrcf-0.05-11\": \"ju9xfu6z\",\n", + " \"simclr-0.1-22\": \"mh4exarz\",\n", + " \"simclr-0.1-11\": \"3a1wft8u\",\n", + " \"simclrcf-0.25-22\": \"w1muwi2v\",\n", + " \"simclrcf-0.1-11\": \"2c8x9gr9\",\n", + " \"simclr-0.25-22\": \"io9ukhfm\",\n", + " \"simclrcf-0.05-33\": \"kkcbrb3i\",\n", + " \"simclr-0.25-11\": \"tkr8tw5e\",\n", + " \"simclrcf-0.25-11\": \"e8w1vxmn\",\n", + " \"simclrcf-0.1-33\": \"bzyqmycb\",\n", + " \"simclrcfaug-0.05-22\": \"z7pgwz4e\",\n", + " \"simclrcfaug-0.05-11\": \"o98equwh\",\n", + " \"simclrcfaug-0.05-33\": \"idly5nkx\",\n", + " \"simclrcfaughead-0.05-11\": \"0nke7fpq\",\n", + " \"simclrcfaug-0.1-22\": \"ed1lg5j2\",\n", + " \"simclrcfaug-0.1-11\": \"huouaf2h\",\n", + " \"simclrcfaug-0.1-33\": \"glifyzd8\",\n", + " \"simclrcfaug-0.25-22\": \"boijfg9v\",\n", + " \"simclrcfaughead-0.1-11\": \"9qt391fv\",\n", + " \"simclrcf-1.0-22\": \"0cf2wpg6\",\n", + " \"simclr-1.0-22\": \"qz7qx7u3\",\n", + " \"simclrcfaug-0.25-11\": \"gw92xdg1\",\n", + " \"simclrcf-1.0-11\": \"012vx3f7\",\n", + " \"simclr-1.0-11\": \"md4ymp1g\",\n", + " \"simclrcfaug-0.25-33\": \"9tmsbgp8\",\n", + " \"simclrcfaughead-0.25-11\": \"8bfp44f7\",\n", + " \"simclrcf-0.25-33\": \"3k1lu1oy\",\n", + " \"simclrcfaug-1.0-22\": \"7lxph9ps\",\n", + " \"simclrcfaughead-1.0-11\": \"9tg73cs0\",\n", + " \"simclrcfaughead-0.05-22\": \"muyzcrq3\",\n", + " \"simclrcfaug-1.0-33\": \"u4onu6om\",\n", + " \"simclrcfaughead-0.1-22\": \"jn0pdyu2\",\n", + " \"simclr-0.01-33\": \"hsyrkrpi\",\n", + " \"simclr-0.01-22\": \"nsr3ixey\",\n", + " \"simclr-0.01-11\": \"cpqdq4gs\",\n", + " \"simclrcfaughead-0.25-22\": \"o95101nl\",\n", + " \"simclrcf-0.01-22\": \"qxvdehkn\",\n", + " \"simclrcf-0.01-33\": \"nrz507vz\",\n", + " \"simclrcfaug-0.01-11\": \"7heqiv3l\",\n", + " \"simclrcfaug-0.01-22\": \"iw4v9i4d\",\n", + " \"simclrcfaug-0.01-33\": \"hcabqnze\",\n", + " \"simclrcf-1.0-33\": \"lhaovv2s\",\n", + " \"simclr-0.05-33\": \"eissogv0\",\n", + " \"simclr-0.1-33\": \"1wwpkejb\",\n", + " \"simclr-0.25-33\": \"gx6u8o0b\",\n", + " \"simclrcfaughead-0.01-11\": \"r1l5h6wx\",\n", + " \"simclrcfaughead-0.01-22\": \"qo5hrfi3\",\n", + " \"simclrcfaughead-0.01-33\": \"9ghb5o2a\",\n", + " \"simclrcfaughead-1.0-22\": \"eanz6j03\",\n", + " \"simclrcfaughead-0.05-33\": \"05nbp9zw\",\n", + " \"simclrcfaughead-0.1-33\": \"mlboruuc\",\n", + " \"simclrcfaughead-0.25-33\": \"ki5t0xzh\",\n", + " \"simclrcfaughead-1.0-33\": \"8a9y439k\",\n", + " \"simclr-1.0-33\": \"d1zvpt88\",\n", + " \"simclrhead-1.0-11\": \"g4no8azy\",\n", + " \"simclrcfaug-1.0-11\": \"b09dget0\",\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'project_name': 'causal_contrastive', 'seed': 22, 'mixed_precision': False, 'is_unit_test_config': False, 'data': {'batch_size': 32, 'num_workers': 12, 'pin_memory': True, 'input_channels': 1, 'weights': [8.89, 2.35, 2.44, 18.67], 'augmentations': {'resize': [256, 192], 'center_crop': [224, 192], 'random_rotation': 5, 'horizontal_flip': True, 'vertical_flip': False, 'random_crop': [0.9, 1.0], 'random_color_jitter': 0.2, 'random_erase_scale': [0.0, 0.0], 'sharp': 0.0}, 'prop_train': 1.0, '_target_': 'data_handling.embed.EmbedDataModule', 'dataset': 'embed', 'label': 'tissueden', 'domain': 'None', 'cache': False, 'counterfactual_pairs': False, 'apply_same_transform_to_counterfactuals': False, 'exclude_cviews': True, 'counterfactual_contrastive': True}, 'trainer': {'name': 'base', 'lr': 1e-05, 'num_epochs': 400, 'patience_for_scheduler': 25, 'metric_to_monitor': 'Val/AUROC', 'metric_to_monitor_mode': 'max', 'val_check_interval': 1000, 'weight_decay': 0.0, 'use_train_augmentations': True, 'loss': 'ce', 'contrastive_temperature': 0.1, 'return_two_views': False, 'finetune_path': 'None', 'device': [0], 'max_steps': 'None', 'freeze_encoder': False}, 'model': {'encoder_name': 'resnet50', 'pretrained': True}}\n", + "SimpleModelLabel\n", + "0 374169\n", + "2 13268\n", + "3 10515\n", + "4 8128\n", + "1 498\n", + "Name: count, dtype: int64\n", + "405457\n", + "297373\n", + "N patients train: 16665, val: 600, test 4955\n", + "train n images223086\n", + "test65992\n", + "val8295\n", + "Scanner in complete df\n", + "SimpleModelLabel\n", + "0 0.891382\n", + "2 0.044506\n", + "3 0.035255\n", + "4 0.027181\n", + "1 0.001675\n", + "Name: proportion, dtype: float64\n", + "Scanner in train df\n", + "SimpleModelLabel\n", + "0 0.890791\n", + "2 0.045019\n", + "3 0.034735\n", + "4 0.027711\n", + "1 0.001744\n", + "Name: proportion, dtype: float64\n", + "tissueden\n", + "1 0.424173\n", + "2 0.409779\n", + "0 0.112490\n", + "3 0.053558\n", + "Name: proportion, dtype: float64\n", + "Scanner in test df\n", + "SimpleModelLabel\n", + "0 0.892911\n", + "2 0.042581\n", + "3 0.036686\n", + "4 0.026291\n", + "1 0.001530\n", + "Name: proportion, dtype: float64\n", + "tissueden\n", + "2 0.418399\n", + "1 0.415278\n", + "0 0.112695\n", + "3 0.053628\n", + "Name: proportion, dtype: float64\n", + "tissueden\n", + "1 94627\n", + "2 91416\n", + "0 25095\n", + "3 11948\n", + "Name: count, dtype: int64\n", + "None\n", + "tissueden\n", + "2 3579\n", + "1 3357\n", + "0 1012\n", + "3 347\n", + "Name: count, dtype: int64\n", + "None\n", + "tissueden\n", + "2 27611\n", + "1 27405\n", + "0 7437\n", + "3 3539\n", + "Name: count, dtype: int64\n", + "None\n", + "Dataset size (12.1 GiB) fits in cache limit (96 GiB). Allocating space to cache all 65992 samples.\n" + ] + } + ], + "source": [ + "with initialize(version_base=None, config_path=\"../configs\"):\n", + " cfg = compose(\n", + " config_name=\"config.yaml\",\n", + " overrides=[\"experiment=base_density2\", \"data.cache=False\", \"seed=22\"],\n", + " )\n", + " print(cfg)\n", + " data_module = EmbedDataModule(config=cfg)\n", + "test_loader = data_module.test_dataloader()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_csv(f\"../outputs/classification_{cfg.data.label}_results_finetune2.csv\")\n", + "for run_name, run_id in model_dict.items():\n", + " already_in_df = run_name in df.run_name.values\n", + " if run_id != \"\" and not already_in_df:\n", + " print(run_name)\n", + " model_to_evaluate = f\"../outputs/run_{run_id}/best.ckpt\"\n", + " classification_model = ClassificationModule.load_from_checkpoint(\n", + " model_to_evaluate, map_location=\"cuda\"\n", + " ).model.eval()\n", + " classification_model.cuda()\n", + "\n", + " # ID evaluation\n", + " inference_results = run_inference(test_loader, classification_model)\n", + " scanners = np.argmax(inference_results[\"scanners\"], 1)\n", + "\n", + " for i in np.unique(scanners):\n", + " print(f\"\\nEvaluating scanner {i}\")\n", + " sc_idx = np.where(scanners == i)\n", + " targets = inference_results[\"targets\"][sc_idx]\n", + " preds = np.argmax(inference_results[\"confs\"], 1)[sc_idx]\n", + " confs = inference_results[\"confs\"][sc_idx]\n", + " res = {}\n", + " res[\"N_test\"] = [targets.shape[0]]\n", + " res[\"Bal_Acc\"] = [balanced_accuracy_score(targets, preds)]\n", + " res[\"ROC\"] = [roc_auc_score(targets, confs, multi_class=\"ovr\")]\n", + " res[\"Model Name\"] = [rev_model_map[i]]\n", + " res[\"run_name\"] = run_name\n", + " print(res)\n", + " df = pd.concat([df, pd.DataFrame(res, index=[0])], ignore_index=True)\n", + "\n", + " df.to_csv(\n", + " f\"../outputs/classification_{cfg.data.label}_results_finetune2.csv\",\n", + " index=False,\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Series([], Name: run_name, dtype: int64)" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.read_csv(f\"../outputs/classification_tissueden_results_finetune2.csv\")\n", + "df[\"ctrain_label_prop\"] = df.run_name.apply(extract_train_label_prop)\n", + "df[\"group\"] = df.run_name.apply(extract_run_type)\n", + "df[\"Pretraining\"] = df.group.apply(lambda x: extract_pretraining_type(x))\n", + "df[\"Classifier\"] = df.group.apply(lambda x: extract_finetuning_type(x))\n", + "tmp = (\n", + " df.groupby([\"Pretraining\", \"Classifier\", \"ctrain_label_prop\"])\n", + " .run_name.unique()\n", + " .apply(lambda x: 3 - len(x))\n", + ")\n", + "tmp.loc[tmp > 0]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plotting embeddings" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/vol/biomedic3/mb121/causal-contrastive/data_handling/embed.py:529: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n", + " lambda x: VINDR_MAMMO_DIR / \"pngs\" / x[0] / f\"{x[1]}.png\", axis=1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "len df 5996\n", + "tissueden\n", + "2 4636\n", + "3 833\n", + "1 495\n", + "0 32\n", + "Name: count, dtype: int64\n", + "tissueden\n", + "2 0.773182\n", + "3 0.138926\n", + "1 0.082555\n", + "0 0.005337\n", + "Name: proportion, dtype: float64\n" + ] + } + ], + "source": [ + "model_dict_for_embeddings = {\n", + " \"SimCLR\": \"byatk1eo\",\n", + " \"SimCLR with CF in training set\": \"jv9hzx89\",\n", + " \"Counterfactual SimCLR\": \"kywspwfs\",\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SimCLR\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "501it [00:10, 49.71it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SimCLR with CF in training set\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "501it [00:10, 49.57it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Counterfactual SimCLR\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "501it [00:10, 49.33it/s]\n" + ] + } + ], + "source": [ + "from evaluation.helper_functions import run_get_embeddings\n", + "from sklearn.manifold import TSNE\n", + "\n", + "results = {}\n", + "\n", + "for run_name, run_id in model_dict_for_embeddings.items():\n", + " if run_id != \"\":\n", + " print(run_name)\n", + " model_to_evaluate = f\"../outputs/run_{run_id}/epoch=449.ckpt\"\n", + " classification_model = ClassificationModule.load_from_checkpoint(\n", + " model_to_evaluate, map_location=\"cuda\"\n", + " ).model.eval()\n", + " classification_model.cuda()\n", + " # ID evaluation\n", + " inference_results = run_get_embeddings(\n", + " test_loader, classification_model, max_batch=500\n", + " )\n", + " inference_results[\"scanners\"] = np.argmax(inference_results[\"scanners\"], 1)\n", + " results[run_name] = inference_results" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_663263/3819208028.py:9: UserWarning: The palette list has more values (6) than needed (5), which may not be intended.\n", + " sns.scatterplot(x=x2d[idx, 0], y=x2d[idx, 1], hue=scanners_plot, ax=ax[i], palette=sns.color_palette(\"rocket\"), legend=i==1, alpha=1.0, s=30)\n", + "/tmp/ipykernel_663263/3819208028.py:9: UserWarning: The palette list has more values (6) than needed (5), which may not be intended.\n", + " sns.scatterplot(x=x2d[idx, 0], y=x2d[idx, 1], hue=scanners_plot, ax=ax[i], palette=sns.color_palette(\"rocket\"), legend=i==1, alpha=1.0, s=30)\n", + "/tmp/ipykernel_663263/3819208028.py:9: UserWarning: The palette list has more values (6) than needed (5), which may not be intended.\n", + " sns.scatterplot(x=x2d[idx, 0], y=x2d[idx, 1], hue=scanners_plot, ax=ax[i], palette=sns.color_palette(\"rocket\"), legend=i==1, alpha=1.0, s=30)\n", + "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "f, ax = plt.subplots(1, len(results.keys()), figsize=(20, 4))\n", + "for i, (run_name, inference_results) in enumerate(results.items()):\n", + " scanners = inference_results[\"scanners\"]\n", + " idx = np.where(scanners != -1)[0]\n", + " targets = inference_results[\"targets\"]\n", + " tsne = TSNE(n_jobs=6, perplexity=30)\n", + " x2d = tsne.fit_transform(inference_results[\"feats\"][idx])\n", + " scanners_plot = [rev_model_map[s] for s in scanners[idx]]\n", + " sns.scatterplot(\n", + " x=x2d[idx, 0],\n", + " y=x2d[idx, 1],\n", + " hue=scanners_plot,\n", + " ax=ax[i],\n", + " palette=sns.color_palette(\"rocket\"),\n", + " legend=i == 1,\n", + " alpha=1.0,\n", + " s=30,\n", + " )\n", + " ax[i].set_xlabel(\"\")\n", + " ax[i].set_ylabel(\"\")\n", + " ax[i].set_xticks([])\n", + " ax[i].set_yticks([])\n", + " ax[i].set_title(run_name, fontsize=18)\n", + "ax[1].legend(\n", + " loc=\"center\", bbox_to_anchor=(0.5, -0.15), ncol=6, fontsize=16, markerscale=2\n", + ")\n", + "plt.savefig(\"embeddings_id_tsne.eps\", bbox_inches=\"tight\")\n", + "plt.savefig(\"embeddings_id_tsne.pdf\", bbox_inches=\"tight\")\n", + "plt.savefig(\"embeddings_id_tsne.png\", bbox_inches=\"tight\", dpi=500)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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 +} diff --git a/evaluation/helper_functions.py b/evaluation/helper_functions.py new file mode 100644 index 0000000..c06fca8 --- /dev/null +++ b/evaluation/helper_functions.py @@ -0,0 +1,111 @@ +import re +import numpy as np +import torch +from tqdm import tqdm + + +def extract_train_label_prop(run_name): + pattern = r"-(\d+\.\d+)-" + matches = re.search(pattern, run_name) + if matches: + extracted_data = matches.group(1) + return float(extracted_data) + return np.nan + + +def extract_run_type(run_name): + # Define the regex pattern to split the string at the first dash + pattern = r"-" + + # Use re.split to split the string at the first dash + parts = re.split(pattern, run_name, maxsplit=1) + + # Extract the substring before the first dash + if len(parts) > 1: + substring_before_first_dash = parts[0] + return substring_before_first_dash + print("No dash found in the input string.") + return "" + + +def extract_pretraining_type(run_name): + if "simclrcfaug" in run_name: + return "SimCLR with CF\nin training set" + if "simclrcf" in run_name: + return "CF-SimCLR" + elif "simclr" in run_name: + return "SimCLR" + elif "supervised" in run_name: + return "ImageNet" + return run_name + + +def extract_finetuning_type(run_name): + if "head" in run_name: + return "Linear Probing" + if "supervisedcf" in run_name or "cffine" in run_name: + return "Finetuning with CF" + if "transfer" in run_name or "trf" in run_name: + return "Transfer" + return "Finetuning" + + +def run_inference(dataloader, classification_model): + confs = [] + true_label = [] + scanners = [] + with torch.no_grad(): + for i, batch in tqdm(enumerate(dataloader)): + inputs = batch["x"].float() + logits = classification_model(inputs.cuda()).cpu() + probas = torch.softmax(logits, 1).numpy() + confs.append(probas) + true_label.append(batch["y"].numpy()) + if "scanner" in batch.keys(): + if isinstance(batch["scanner"], torch.Tensor): + scanners.append(batch["scanner"].numpy()) + else: + scanners.append(batch["scanner"]) + + targets_true = np.concatenate(true_label) + if targets_true.ndim == 2: + if targets_true.shape[1] == 1: + targets_true = targets_true.reshape(-1) + else: + targets_true = np.argmax(targets_true, 1) + + confs = np.concatenate(confs) + if len(scanners) > 0: + scanners = np.concatenate(scanners) + return {"confs": confs, "targets": targets_true, "scanners": scanners} + + +def run_get_embeddings(dataloader, classification_model, max_batch=100): + all_feats = [] + true_label = [] + scanners = [] + with torch.no_grad(): + for i, batch in tqdm(enumerate(dataloader)): + inputs = batch["x"].float() + feats = classification_model.get_features(inputs.cuda()).cpu() + all_feats.append(feats) + true_label.append(batch["y"].numpy()) + if "scanner" in batch.keys(): + if isinstance(batch["scanner"], torch.Tensor): + scanners.append(batch["scanner"].numpy()) + else: + scanners.append(batch["scanner"]) + if i > max_batch: + break + + targets_true = np.concatenate(true_label) + if targets_true.ndim == 2: + if targets_true.shape[1] == 1: + targets_true = targets_true.reshape(-1) + else: + targets_true = np.argmax(targets_true, 1) + + feats = np.concatenate(all_feats) + if len(scanners) > 0: + scanners = np.concatenate(scanners) + return {"targets": targets_true, "scanners": scanners, "feats": feats} diff --git a/evaluation/padchest_pneumo.ipynb b/evaluation/padchest_pneumo.ipynb new file mode 100644 index 0000000..864a6d8 --- /dev/null +++ b/evaluation/padchest_pneumo.ipynb @@ -0,0 +1,277 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "import seaborn as sns\n", + "\n", + "sys.path.append(\"/vol/biomedic3/mb121/causal-contrastive\")\n", + "\n", + "from sklearn.metrics import roc_auc_score, balanced_accuracy_score\n", + "\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "from classification.classification_module import ClassificationModule\n", + "\n", + "from hydra import compose, initialize\n", + "import pandas as pd\n", + "from data_handling.padchest import PadChestDataModule\n", + "\n", + "import matplotlib\n", + "from evaluation.helper_functions import (\n", + " extract_train_label_prop,\n", + " extract_run_type,\n", + " extract_pretraining_type,\n", + " extract_finetuning_type,\n", + " run_inference,\n", + ")\n", + "\n", + "sns.set_theme(context=\"paper\", style=\"whitegrid\", font_scale=1.5)\n", + "matplotlib.rcParams[\"font.family\"] = \"serif\"\n", + "\n", + "import os\n", + "\n", + "os.chdir(\"/vol/biomedic3/mb121/causal-contrastive/evaluation\")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "model_dict_normal = {\n", + " \"supervised-0.1-11\": \"8vouetwb\",\n", + " \"supervised-0.1-22\": \"96rhabqe\",\n", + " \"supervised-0.1-33\": \"fyismsp9\",\n", + " \"supervised-1.0-22\": \"4oaaikt6\",\n", + " \"supervised-1.0-33\": \"n8h9oapi\",\n", + " \"supervised-1.0-11\": \"ghopk3ju\",\n", + " \"simclr-0.1-22\": \"n4q4a33f\",\n", + " \"simclr-0.1-33\": \"3z4co0f5\",\n", + " \"simclr-0.1-11\": \"u2hzkzi8\",\n", + " \"simclr-1.0-22\": \"4pe40g5x\",\n", + " \"simclr-1.0-33\": \"fph8u80n\",\n", + " \"simclr-1.0-11\": \"hqvqp4mh\",\n", + " \"simclrhead-1.0-33\": \"bctalde0\",\n", + " \"simclrhead-0.1-33\": \"ubv6eqfz\",\n", + " \"simclrhead-0.1-22\": \"wi03qw05\",\n", + " \"simclrhead-1.0-22\": \"g92xolyv\",\n", + " \"simclrhead-0.1-11\": \"lfhrzwlc\",\n", + " \"simclrhead-1.0-11\": \"tc5riibq\",\n", + " \"simclrcfaug-0.1-33\": \"zqv28q1c\",\n", + " \"simclrcfaug-1.0-33\": \"hu8wg6s4\",\n", + " \"simclrcfaug-0.1-22\": \"8xf5b6ts\",\n", + " \"simclrcfaug-1.0-22\": \"e4k7i59o\",\n", + " \"simclrcfaug-0.1-11\": \"n7rp8bvc\",\n", + " \"simclrcfaug-1.0-11\": \"ghtxoeph\",\n", + " \"simclrcf-0.1-11\": \"597enhyw\",\n", + " \"simclrcf-0.1-22\": \"erjrh75z\",\n", + " \"simclrcf-1.0-22\": \"axb7nhet\",\n", + " \"simclrcf-1.0-33\": \"gcn4pmb5\",\n", + " \"simclrcf-1.0-11\": \"bjurudm1\",\n", + " \"simclrcf-0.1-33\": \"givxkg9r\",\n", + " \"simclrcfhead-0.1-22\": \"2cfdu2ru\",\n", + " \"simclrcfhead-1.0-11\": \"aev41p0o\",\n", + " \"simclrcfhead-0.1-11\": \"ql05brkt\",\n", + " \"simclrcfhead-0.25-11\": \"p57dgkwp\",\n", + " \"simclrcfhead-0.05-11\": \"go6laxdr\",\n", + " \"simclrcfhead-0.05-22\": \"vp98mhg4\",\n", + " \"simclrcfhead-0.25-22\": \"6wjmiqcf\",\n", + " \"simclrcfhead-0.05-33\": \"zwpn5i97\",\n", + " \"simclrcfhead-0.1-33\": \"7ksiuau7\",\n", + " \"simclrcfhead-0.25-33\": \"xjhdufsk\",\n", + " \"simclrcfhead-1.0-33\": \"qoqqvcjk\",\n", + " \"simclrcfhead-1.0-22\": \"9o431mp5\",\n", + " \"simclrcf-0.05-11\": \"yuw1hej0\",\n", + " \"simclrcf-0.25-11\": \"zzr4utap\",\n", + " \"simclrcf-0.05-22\": \"46orb30r\",\n", + " \"simclrcf-0.25-22\": \"sg6h109z\",\n", + " \"simclrcf-0.05-33\": \"ues31163\",\n", + " \"simclrcf-0.25-33\": \"x20kayvz\",\n", + " \"simclr-0.05-11\": \"xuat4sf9\",\n", + " \"simclr-0.25-11\": \"03r51wrk\",\n", + " \"simclr-0.05-22\": \"noeakj31\",\n", + " \"simclr-0.25-22\": \"9k2na4p0\",\n", + " \"simclr-0.05-33\": \"qoum861b\",\n", + " \"simclr-0.25-33\": \"9ofn816x\",\n", + " \"simclrcfaug-0.05-11\": \"84ijd323\",\n", + " \"simclrcfaug-0.25-11\": \"2mveqyje\",\n", + " \"simclrcfaug-0.05-22\": \"9sg7nlcn\",\n", + " \"simclrcfaug-0.25-22\": \"7r316b1j\",\n", + " \"simclrcfaug-0.05-33\": \"edk3wfn3\",\n", + " \"simclrcfaug-0.25-33\": \"yuwmsfoz\",\n", + " \"simclrcfaughead-0.05-22\": \"0sqtorl6\",\n", + " \"simclrcfaughead-0.05-11\": \"8m2e86xr\",\n", + " \"simclrcfaughead-0.05-33\": \"arzhs7kv\",\n", + " \"simclrcfaughead-0.25-33\": \"wpz8ltrm\",\n", + " \"simclrcfaughead-0.25-22\": \"pai5bnm4\",\n", + " \"simclrcfaughead-0.25-11\": \"x0pmqpy9\",\n", + " \"simclrhead-0.1-33\": \"pqr1shrw\",\n", + " \"simclrcfaughead-1.0-22\": \"t1zylip4\",\n", + " \"simclrcfaughead-1.0-33\": \"7p01aii1\",\n", + " \"simclrhead-0.05-11\": \"x1y3cyvr\",\n", + " \"simclrhead-0.05-22\": \"x9a09lea\",\n", + " \"simclrhead-0.05-33\": \"wrx49m90\",\n", + " \"simclrhead-0.25-11\": \"0j3vd0uj\",\n", + " \"simclrhead-0.25-22\": \"t48vsxm3\",\n", + " \"simclrhead-0.25-33\": \"814m80w1\",\n", + " \"simclrcfaughead-0.1-11\": \"7nu2zser\",\n", + " \"simclrcfaughead-0.1-22\": \"luxwk9xc\",\n", + " \"simclrcfaughead-0.1-33\": \"r5asb39l\",\n", + " \"simclrcfaughead-1.0-11\": \"s9ub63yt\",\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'project_name': 'causal_contrastive', 'seed': 11, 'mixed_precision': False, 'is_unit_test_config': False, 'data': {'batch_size': 112, 'num_workers': 14, 'pin_memory': True, 'input_channels': 1, 'weights': [1.0, 10.0], 'augmentations': {'resize': [224, 224], 'center_crop': 'None', 'random_rotation': 20, 'horizontal_flip': True, 'vertical_flip': True, 'random_crop': [0.7, 1.0], 'random_color_jitter': 0.3, 'random_erase_scale': [0.0, 0.0], 'sharp': 0.0}, 'prop_train': 1.0, '_target_': 'data_handling.padchest.PadChestDataModule', 'dataset': 'padchest', 'label': 'pneumonia', 'cache': True, 'counterfactual_pairs': False, 'apply_same_transform_to_counterfactuals': False, 'counterfactual_contrastive': True}, 'trainer': {'name': 'base', 'lr': 0.0001, 'num_epochs': 400, 'patience_for_scheduler': 10, 'metric_to_monitor': 'Val/AUROC', 'metric_to_monitor_mode': 'max', 'val_check_interval': 5000, 'weight_decay': 0.0, 'use_train_augmentations': True, 'loss': 'ce', 'contrastive_temperature': 0.1, 'return_two_views': False, 'finetune_path': 'None', 'device': [0], 'max_steps': 'None', 'freeze_encoder': False}, 'model': {'encoder_name': 'resnet50', 'pretrained': True}}\n", + "normal\n", + "False 57332\n", + "True 34343\n", + "Name: count, dtype: int64\n", + "pleural effusion\n", + "False 88416\n", + "True 3259\n", + "Name: count, dtype: int64\n", + "pneumonia\n", + "False 88389\n", + "True 3286\n", + "Name: count, dtype: int64\n", + "exclude\n", + "False 90862\n", + "True 813\n", + "Name: count, dtype: int64\n", + "suboptimal study\n", + "False 91024\n", + "True 651\n", + "Name: count, dtype: int64\n", + "cardiomegaly\n", + "False 83255\n", + "True 8420\n", + "Name: count, dtype: int64\n", + "N patients train 44144, val 4905, test 12263\n", + "Len 64989\n", + "Dataset size (12.1 GiB) fits in cache limit (24 GiB). Allocating space to cache all 64989 samples.\n", + "Len 7203\n", + "Dataset size (1.3 GiB) fits in cache limit (24 GiB). Allocating space to cache all 7203 samples.\n", + "Len 17993\n", + "Dataset size (3.4 GiB) fits in cache limit (24 GiB). Allocating space to cache all 17993 samples.\n" + ] + } + ], + "source": [ + "with initialize(version_base=None, config_path=\"../configs\"):\n", + " cfg = compose(\n", + " config_name=\"config.yaml\",\n", + " overrides=[\"experiment=base_padchestpneumo.yaml\", \"data.cache=True\"],\n", + " )\n", + " print(cfg)\n", + " data_module = PadChestDataModule(config=cfg)\n", + "\n", + "test_dataloader = data_module.test_dataloader()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_csv(f\"../outputs/classification_padchestfinetunepneumo_results.csv\")\n", + "for run_name, run_id in model_dict_normal.items():\n", + " already_in_df = run_name in df.run_name.values\n", + " if run_id != \"\" and not already_in_df:\n", + " print(run_name)\n", + " model_to_evaluate = f\"../outputs/run_{run_id}/best.ckpt\"\n", + " classification_model = ClassificationModule.load_from_checkpoint(\n", + " model_to_evaluate, map_location=\"cuda:0\", strict=False\n", + " ).model.eval()\n", + " classification_model.cuda()\n", + "\n", + " inference_results = run_inference(test_dataloader, classification_model)\n", + " scanners = inference_results[\"scanners\"]\n", + " for sc in range(2):\n", + " sc_idx = np.where(scanners == sc)\n", + " targets = inference_results[\"targets\"][sc_idx]\n", + " preds = np.argmax(inference_results[\"confs\"], 1)[sc_idx]\n", + " confs = inference_results[\"confs\"][sc_idx][:, 1]\n", + " res = {}\n", + " res[\"N_test\"] = [targets.shape[0]]\n", + " res[\"Scanner\"] = [sc]\n", + " res[\"Bal_Acc\"] = [balanced_accuracy_score(targets, preds)]\n", + " res[\"run_name\"] = run_name\n", + " res[\"ROC\"] = [roc_auc_score(targets, confs)]\n", + " print(res)\n", + " df = pd.concat([df, pd.DataFrame(res, index=[0])], ignore_index=True)\n", + "\n", + " df.to_csv(\n", + " f\"../outputs/classification_padchestfinetunepneumo_results.csv\", index=False\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Series([], Name: run_name, dtype: int64)" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.read_csv(f\"../outputs/classification_padchestfinetunepneumo_results.csv\")\n", + "df[\"ctrain_label_prop\"] = df.run_name.apply(extract_train_label_prop)\n", + "df[\"group\"] = df.run_name.apply(extract_run_type)\n", + "df[\"Pretraining\"] = df.group.apply(lambda x: extract_pretraining_type(x))\n", + "df[\"Classifier\"] = df.group.apply(lambda x: extract_finetuning_type(x))\n", + "tmp = (\n", + " df.groupby([\"Pretraining\", \"Classifier\", \"ctrain_label_prop\"])\n", + " .run_name.unique()\n", + " .apply(lambda x: 3 - len(x))\n", + ")\n", + "tmp.loc[tmp > 0]" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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 +} diff --git a/evaluation/plot_all_results.ipynb b/evaluation/plot_all_results.ipynb new file mode 100644 index 0000000..3766a87 --- /dev/null +++ b/evaluation/plot_all_results.ipynb @@ -0,0 +1,362 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Plotting results for paper\n", + "\n", + "You need to run all inference notebooks first." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "\n", + "sys.path.append(\"/vol/biomedic3/mb121/causal-contrastive\")\n", + "\n", + "import matplotlib\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "from evaluation.helper_functions import (\n", + " extract_train_label_prop,\n", + " extract_pretraining_type,\n", + " extract_finetuning_type,\n", + ")\n", + "\n", + "sns.set_theme(context=\"paper\", style=\"whitegrid\", font_scale=1.5)\n", + "matplotlib.rcParams[\"font.family\"] = \"serif\"\n", + "color_dict = {\n", + " \"ImageNet\": sns.color_palette(\"colorblind\", 8)[-1],\n", + " \"CF-SimCLR\": sns.color_palette(\"colorblind\", 3)[1],\n", + " \"SimCLR\": sns.color_palette(\"colorblind\", 3)[0],\n", + " \"SimCLR with CF\\nin training set\": sns.color_palette(\"colorblind\", 3)[2],\n", + "}\n", + "\n", + "style_dict = {\"Finetuning\": \"\", \"Linear Probing\": (2, 3)}\n", + "\n", + "style_dict = {\n", + " \"ImageNet\": \"\",\n", + " \"CF-SimCLR\": \"\",\n", + " \"SimCLR\": \"\",\n", + " \"SimCLR with CF\\nin training set\": (2, 1),\n", + "}\n", + "\n", + "type_error = (\"se\", 1)\n", + "\n", + "plt_kwargs = {\n", + " \"errorbar\": type_error,\n", + " \"palette\": color_dict,\n", + " \"linewidth\": 3,\n", + "}\n", + "\n", + "training_prop = {\n", + " \"Selenia Dimensions\": 89,\n", + " \"Senograph 2000D ADS_17.5\": 4.4,\n", + " \"Lorad Selenia\": 3.5,\n", + " \"Clearview CSm\": 2.7,\n", + " \"Senographe Pristina\": 0.2,\n", + "}\n", + "\n", + "vindr_training_prop = {\n", + " \"(OOD) VinDr\\nMammomat Inspiration\": 80,\n", + " \"(OOD) VinDr\\nPlanmed Nuance\": 20,\n", + "}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Mammography results" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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rdJu7JH333Xd66aWXtHfvXhmGoSZNmuimm26qcFxmVCw8PLzMD/3BwcElPiCW5vRJegcNGlThJL0ffPCBPvjggypP0msymZSTk1PpYQ9ycnIqve2/27Ztm0aMGCGHw6HGjRvLYrHonXfe0ZNPPqmFCxd6xeTCFotFvXv3Vu/evXXs2DG9/fbbevvtt/XMM8+oU6dOWrJkSbW2m56ernvvvVdfffWVc5nJZFL79u312GOPqX79+rW1Cz4hNjZW69atU9++fZ3LVq9erdDQUK1fv16XXXZZsfafffaZYmNjq/VcHPvKcXcOkUGuUxsZJLknh8igklyRQ7wPFkcGeR8yqG7xlXMhd2aQ5Bs5RAa5njszSHLN8adgBACAGyQlJenTTz9Vjx49ii1ft25dqe1//PFHxcTEVPv53njjDU2bNk1du3ZVp06dZDabtXfvXg0fPlz33HOPBg0aVO1tQzr77LO1cePGUscA3r17t6Kjo8tdf+nSpVq9erUWLlxY5Ul6x4wZU6VJejt16qRx48ZpxowZqlevXrltU1NTNWnSpGqPLT1jxgwNGTJEw4cPV2BgoKTCK6xeeeUVPfTQQ/rf//5Xre26Snx8vIYNG6Zhw4Zp69atVR7C6XQPPPCAAgMD9frrr6t58+ayWCz67bff9Oyzz2rSpEl6/vnna7Hn3u+KK67Q3XffrT59+qhRo0bat2+fPv74Y02ZMkWTJk3Sb7/9pg4dOshkMmnr1q167rnndNVVV1XruTj2lePOHCKDXKumGSS5L4fIoPLVVg7xPlgcGeR9yKC6xVfOhdyZQZLv5RAZ5BruzCDJNcefOYwAAHCDuXPnaunSpRo8eLCGDh2quLi4UtvZ7Xb9/PPPmjx5stq2bavp06dX6/n69u2rBx54QN26dSu2/IcfftDo0aP12WefVWu7/ui8884rMYTG/v37deTIEeeVQlLha7dz505NnTpVZ599dpmvnbsn6U1NTdXAgQN17NgxtW3bVq1atSpzstfvv/9eCQkJeu2118o9qXrqqac0cuRIBQUFFVveoUMHffbZZyWuKjQMQ+3bt9eWLVuquLfVV9p467WhrJPjTp06acOGDQoPDy+23GazqUuXLvr2229rvS/eLC8vT8OGDSs2Fve///1v3XnnnRo3bpzWrl3rHHrBMAydccYZeuONN8p8b5Q49jXlzhwig2pPbWeQ5N4c8tcMklyTQ7wPVg4Z5H3IIN/ly+dCrsggyTdyiAzyHFdkkOTe488dRgAAuMEVV1yhw4cPKz09XVlZWWV+GJg3b54WL14sSZo0aVKF2x08eLCmTp2qs846q9jyzMxMnXvuuSXan3XWWcrLy6vGHvivBx98sMSyouEsTp8gdNGiRZo/f74k6Z577ilzexEREXr66aer3Z9evXqpV69elW5fr149vfnmm3r88ce1Zs0afffdd5JU7EOqJAUFBenKK6/U3XffrcTExHK3+f7772vVqlW6//77i/Xl7LPP1iOPPKI777zT+TuemZmpxYsXq0WLFlXaz5o6evSozj77bHXv3l3PPvtsrW339ttvV+/evXXvvfcWO5lMTEzUhx9+qKuvvrpY+88++6xSV/vXNSEhIXrxxRe1ZcsWpaamqmXLls7fgSeeeEJdunTRV199pdzcXLVp00Y333xzhVcSc+xrxhU5RAa5Xm1nkOTeHPLXDJJck0O8D1YOGeR9yCDf5cvnQq7IIMk3cogM8hxXZJDk3uPPHUYAAPiw+++/X//73/900003aezYsc7xme+55x7t2bNHt99+u5o3by6TyaR9+/bphRdeUGJioubMmePZjsMjsrOztX37du3du1dZWVmSCk/amjVrpvPOO6/EVUllsdlsWrJkiRYtWqT27dtr8uTJSk5O1p49ezRq1CgdPHhQ0dHRMpvNOnHihBo2bKj58+erVatWrtw9t9i/f79mzJihLVu2aNSoURo6dKgCAgK0YcMG3XHHHc4JRs1ms/bt26ddu3bp8ccfV79+/TzddZ/Hsfc+ZBCqggyqOd4HPYdj733IIFRFbWWQ5L85xPugZ7nz+FMwAgDAx23btk3Tp09XamqqJkyYoKuuukrZ2dmaNWuWVq1aJbvdLqnwCrArrrhCkyZNUlRUlId7jbL40iS9qampeuSRR7R+/XrdeuutzqEZvvjiC+3bt0+GYahp06bq3r27LBaLp7tbqz766CM9/PDDCgoK0tSpU9WlSxcdPHhQr732mnPfmzRpooEDB6pp06ae7m6dwrH3LmRQ3eMrOUQG8T7oCRx770IG1T2+kkGS/+YQ74Oe5Y7jT8EIAIA6wDAMvfrqq5ozZ46aN2+uqVOnKiUlRdnZ2Tp48KAkqVGjRs4r7+CdTp+kt+jqoL179+rLL7/06kl6N27cqBkzZignJ0f33Xef+vbt6+kuaf/+/WrSpIlLnyM/P19PP/20nn/+efXo0UP333+/6tev79Ln9DWGYWjjxo3atGmT9u/fr8zMTElSVFSUmjRpoo4dOzonpK4Kjr13IYPqDl/MIW/MIMn1OcT7YMXIIP9ABtUdvphBknfmEBnkea7KIMn1x5+CEQAAbnL06FE9++yz+v777xUdHa1+/frpyiuvLHa10a+//qqRI0fKZDLJZDLpo48+qtJzZGRkaPbs2Xr77bd1ww036K677uLkyIe4apJeh8Ohb775RtnZ2WrTpo1zzGOr1aoFCxbo448/1okTJ9S6dWvdeeed1RouwW63a9myZVqwYIHOP/98TZ48Wc2aNatWf2tDSkqKUlJSdP311+uf//ynIiMjXfZcBw8e1MyZM/XNN99o5MiRuvXWWxUYGOiy5/MVmzZt0tSpU7V//36VdcphMpnUpEkTPfTQQ9W6cpRjXzWuziEyyPe5Iof8MYMk9+UQ74OlI4O8DxmEivhqBknel0NkkGe5I4Mk1x1/CkYAALjBsWPHdO211+rIkSPOZSaTSeecc46eeOIJ563CBQUFSktL09KlS/Xiiy9qx44d1Xq+77//XtOnT9ehQ4f0n//8RwMGDKiN3UAl3XLLLVq+fHmZj5c1SW/nzp31/vvvl5j0Mi8vTxdddJE2bdpU5b5kZWVp6NCh+umnnyRJwcHBmjFjhq644gqNGjVKGzZsKNY+MjJSb731lho3blzudh0Oh77//nsdOXJE9evXV9u2bWU2m5WamqpHH31UH374oYYMGaJRo0YpNDS0yv2uqQsuuEC9evXSunXrJEmXXnqprr/+erVv377WnuP48ePFJm3esGGDHn74YZnNZk2ePFkXXnhhrT2Xr9myZYuGDBmipk2bqk+fPkpJSVFSUpLzdyE3N1dpaWnauXOn1q1bp3379mnFihVq165dpbbPsa86d+YQGeRZFWWQ5L4c8tcMklyfQ7wPlo0M8j5kkH/xlnMhV2WQ5P05RAZ5jqszSHLD8TcAAIDLPfjgg0bXrl2NV1991fjll1+MH3/80XjxxReNK664wujYsaOxefPmYu3nzZtnpKSkVGrbv//+u/H0008b06ZNM55++mnj0KFDhmEYhsPhMF599VWjU6dOxr/+9S/j559/rvX9Qum6detW7uMTJ040WrdubcyaNcs4deqUc/mECROMAQMGGO+//76xa9cuY/fu3cZHH31k3HTTTcadd95Zrb7MnTvXOOecc4xx48YZ//3vf41bbrnFOO+884wPPvjA6NChg7Fy5UojLS3NyMzMND744AOje/fuxpQpU8rd5oEDB4z+/fsbrVq1cv7p37+/cfDgQWebb775xrjiiiuMHj16GGvWrKlW32ui6DU4deqU8corrxjXX3+90apVK6Nv377Gc889Zxw7dqxa283JyTGmTJlitG3b1khJSTHatm1rTJ061cjNzTUMwzDy8/ONefPmGW3btjVGjx7t/P/obwYPHmzMmTOn0u2ffPJJY/DgweW24djXjKtyiAzyPhVlkGG4L4f8NYMMwzU5xPtg5ZBB3ocM8i/eci7kigwyDN/IITLIc1yRQYbh3uPPHUYAALjBJZdcokceeaTErcZ2u12LFy/Wc889p3nz5ql79+6SpPnz52vBggUVXlX31VdfaeTIkUpISFBSUpKOHDmijIwMPfPMM+rUqZMk6eTJk3riiSf01ltv6frrr9ddd92l6Oho1+xoHTR//vwqr/PCCy/ou+++K7eNuybp7d+/v0aPHq3LL7/cueyxxx7T6tWrdffdd+uf//xnsfZffPGFpk2bpg8//LDMbQ4bNkwNGzbUiBEjlJiYqMOHD2vBggXKzMzU4sWLne3sdrtWrFih+fPnq3Xr1lq6dGmV+19d3bt31xdffFFs2a5du/Tmm2/qf//7n06ePKmePXtq4MCBVboCa+rUqfrxxx81ePBg574vX75cnTp10uTJk53tDh48qFmzZunrr7/W8OHDNXr06FrbN1/QrVs3ff7555Uek9tut+uiiy7Sl19+WWYbjn3NuCKHyCDXc1UGSe7JIX/NIMk1OcT7YOWQQd6HDPJdvnwu5IoMknwjh8ggz3FFBkluPv7VLjUBAIBK69ixY7mPv/fee8Y//vEP45NPPjEMo/JX1V1zzTXGqlWrii176aWXjOuvv75E2x9++MG4/vrrjU6dOlWh52jTpo2RkpJS7Aqyiv5U9u4wh8NhvPzyy0bHjh2NG2+80dixY4dhGIaRlZVl7Nixw9ixY0exq+6qo7TXOzU11UhJSSl123a73bjgggvK3WZpVw3m5uaWeTVhWlqaMWHChEr2uHaUd2VjQUGBsW7dOmPEiBHGueeea1x88cXGvHnzKnUV1sUXX2xkZWUVW5aWlmb07Nmz1PaffPKJ0bdv36p1vg7o1q1blX53MzMzja5du5bbhmNfM67IITLI9VyZQYbh+hzy1wwyDNfkEO+DlUMGeR8yyHf58rmQKzLIMHwjh8ggz3FFBhmGe49/QNVLTAAAoKpMJpNsNpsCAkqP3v79+ys0NFTjx4/Xo48+WuntHjlypMSVUdddd12pV4K1bt1ar7/+ulauXFm1zvu5O+64Q6+88opmzZolk8lUYXvDMHTHHXdUatsmk0k33nij+vXrp9mzZ+u6665zTtKbkpJS065LksLCwkosS0pKUlRUVKkTAZvNZoWEhJS7zcjISG3evLnYGNhfffVVsXGUT5eYmFil32tXCwgIUJ8+fdSnTx8dPXpUb731lt5++20tXLhQP//8c7nrmkwm5eTkKDw83Lns1KlTZV5B1qNHD3Xp0qVW++8LOnXqpHHjxmnGjBnOyYXLkpqaqkmTJqlz587ltuPY14wrcogMcj1XZpDk+hwig0pX3RzifbByyCDvQwb5Ll8+F3JFBkm+n0NkkGu5IoMk9x5/CkYAALhBSkqKXn31Vd18881ltrnkkks0e/ZsjRs3rsQEoGVJTk7WM888o//7v/9TYGCg8vPzNX/+fDVv3rzMda677roq99+f3Xbbbfroo4+0e/duDRo0qFLrBAYGVuk5YmNjNX36dF1//fWaPn26+vbtW2uT9CYlJenTTz9Vjx49ii0vmgD173788ccSE83+3b///W8NGTJEF1xwgZKSknT48GFt3bpVjz/+eI37624JCQm6/fbbdfvtt1dqCKf+/fvrX//6lwYMGKB69erpjz/+0Jtvvqlrr722zHWCgoJqs8s+4Z577tHAgQPVq1cvtW3bVq1atSpzstfvv/9eCQkJeu2118rdJse+ZlyRQ2SQ67kjgyTX5RAZVLGq5BDvg5VDBnkfMsh3+fK5kCsySKpbOUQG1T5XZJDk3uPPHEYAALjBO++8o/vuu099+vTRkCFDil2N9Hdff/21Ro0apby8vArnMPrpp580bNgwZWdnKyYmRhkZGYqIiNCSJUtq7Q4VSPv27dOwYcP00ksvVXiVkCQ9+eSTGjduXLltDh06pNWrV+vIkSOqX7++rrjiCjVs2FCGYej111/Xk08+qaZNm+qBBx7Q2WefXe2+z507V0uXLtXgwYM1dOjQMq98s9vt+vnnnzV58mS1bdtW06dPL3e7mzdv1qpVq5z9v/rqq3XBBRdUu5+1rX379po8ebLq1atXq1e22e12PfPMM3rnnXec+37NNddo+PDhslgstfY8dcHRo0f1+OOPa82aNbJarZLkvDK16BQkKChI/fv31913363ExMRyt8exrxlX5BAZ5B6uyCDJPTnkrxkkuSaHeB+sPDLIu5BBvs1Xz4VclUGS9+cQGeRZtZ1BknuPPwUjAADcwGq1atasWTIMQxdffLF69uxZbvvNmzdryZIlWrBgQYXbzsrK0oYNG5Samqr69eurZ8+epd5iD+/hzkl69+zZo2effVYmk0n//ve/lZycXGq7OXPmOCdpXb58eYlJiX3NxIkTJUmtWrXS0KFDPdsZP5edna3t27dr7969ysrKkiRFRESoWbNmOu+884oNqwDXcVUOkUG+yV055K8ZJJFD3oIM8g5kEE5HBrkeGeQdfDWDKBgBAAC42YABAzR06NBi466//PLLeuedd/T6668Xa/vjjz/qoYce0oEDB7Rx40Z3dxUAUAeRQwAATyGDAO9GwQgAgDqkoKBABw8e1KlTpyQVTsjZuHHjas1nANfp2rWrvvrqq2LLrFarLr744hLLi6xcudLrxl0/ePCg3nrrLW3atEn79+9XZmamJCkqKkpNmjRRp06ddM0116hx48Ye7mntMwxDGzduLHPfO3bsqE6dOpU5CSmqj2Pvvcgg31EXcogM4n3QEzj23osM8h11IYMk/80h3gc9yx3Hn4IRAABulJGRoR07dig6OlrnnntuicdPnDihTz75xPnz1VdfXantrlq1Sq+//rq2b98uu91e7DGLxaLzzz9f119/vf75z386x86F59xwww265JJLSkzSu23bNq1YscLT3auURYsWacGCBbLZbJIKJ7cNCQmRJOXl5amgoECSFBAQoDFjxmjkyJEe6+vfpaam6vPPP9fx48cVGxurbt26qWHDhpVef9OmTZo6dar279+vsj5Km0wmNWnSRA899FCdGNaiOhwOh7755htlZ2erTZs2zjHvrVarFixYoI8//lgnTpxQ69atdeedd6pVq1YVbpNjX3OuyCEyyPf4eg75cgZJNcsh3gcrhwzyTmQQJN/PIMm3c4gMcj1XZJDkvuNPwQgAADdZtGiRFi5c6PxQmZycrAkTJqh3797ONocOHdL8+fO1Y8cO7dy5s9yJXqXCDxz//ve/9eWXXyogIEDNmjVTUlJSsQ+raWlp2rt3r+x2u7p166aFCxcqKCjIdTsK7dy5s9wPfe6epPfo0aN69tln9f333ys6Olr9+vXTlVdeWWxyzF9//VUjR46UyWSSyWTSRx99VOb2Vq5cqQcffFDXX3+9+vbtq5SUFMXGxhZrk5GRoZ07d+r999/Xm2++qWnTpmnAgAG1vm9lefXVV3XDDTeUWL5s2TI98cQTKigokGEYMplMslgsGjt2rEaMGFHhdrds2aIhQ4aoadOm6tOnj1JSUpSUlKTQ0FBJUm5urtLS0rRz506tW7dO+/bt04oVK9SuXbta30dvlpWVpaFDh+qnn36SJAUHB2vGjBm64oorNGrUKG3YsKFY+8jISL311lvlXoHJsa+52s4hMsg7VZRBkntzyB8zSHJNDvE+WDlkkHcig/yHN50L1XYGSb6RQ2SQ57gigyQ3H38DAAC43Nq1a41WrVoZF198sTFmzBhjxIgRRvfu3Y2UlBRj2rRphsPhKNb+qaeeMlJSUirc7hNPPGH07NnTWLNmjZGfn19mu/z8fGP16tVGz549jdmzZ9d4f1C+bt26Vdjm1KlTxqpVq4xnnnnGePfdd41Tp065pC9Hjx41evToYbRq1cr5JyUlxRgwYICxd+9eZzur1Wr8/vvvxowZMyr83bvyyiuNDRs2VLoPGzZsMK644orq7kK1lPYafP7550arVq2MSy+91HjkkUeM559/3njkkUeMfv36GSkpKcZHH31U4XYHDx5szJkzp9L9ePLJJ43BgwdXqe91wdy5c41zzjnHGDdunPHf//7XuOWWW4zzzjvP+OCDD4wOHToYK1euNNLS0ozMzEzjgw8+MLp3725MmTKl3G1y7GvGFTlEBnmnymSQYbgnh/w1gwzDNTnE+2DlkEHehwzyL95yLuSKDDIM38ghMshzXJFBhuHe40/BCAAANxg0aJBx//33GwUFBc5ldrvdeO+994zu3bsbo0aNKnaiM2/evEp9WO3Zs6exb9++Svfjt99+M3r27Fm1zqPKKvtlnTs8+OCDRteuXY1XX33V+OWXX4wff/zRePHFF40rrrjC6Nixo7F58+Zi7Svzu9e1a9cq96M669REaa/B8OHDjfHjxxt2u73Ycrvdbtx3333GkCFDKtxu165dS6xfHpvN5vZ99waXX365sXr16mLLHn30UaNHjx7GqlWrSrT//PPPjd69e5e7TY59zbgih8gg70QG1c46NeWKHOJ9sHLIIO9DBvkXb8khV2SQYfhGDpFBnuOKDDIM9x7/gKrfkwQAAKrq119/1eLFixUQ8Ff0ms1m9e/fX507d9aIESM0evRoLViwoErDJOTn56tJkyaVbt+sWTPl5+dXqe/+rlevXlVeJyMjo0rtXTlJ76effqonn3yy2PjF5557rm644QYtXrxYw4YN07x589S9e/dKbzM4OFj79++v9O/e3r17vWL4j19++UVvvPFGiQlAzWazJkyYoH79+lW4DZPJpJycHEVERFTqOXNycqrVV1937NgxXX755cWWDRkyRC+88IIuueSSEu27du1a4f8bjn3NuCKHyCDXc0cGSa7LITKouJrmEO+DlUMGeR8yyHf58rmQKzJI8t0cIoPcwxUZJLn3+JsrbgIAAGrKZDKVGezx8fFasWKF8vPzNXLkyCqdyMTHx+vjjz+udPuPP/5YcXFxlW6PwglMMzIyZBTemV2pP5W1atUqDRo0SO3atVP//v11ww036IYbblD//v3Vrl073XzzzVq1alWVtvl32dnZpU52abFYNHr0aM2YMUN33nmnPv3000pvs3///vq///s/rVmzptzf1/z8fK1Zs0a33Xabrrzyymr1vzaZzWbnhKN/FxcXV2ws87J06tRJ48aNU2pqaoVtU1NTNW7cOHXu3LnKffV1YWFhJZYlJSUpKiqq1PdCs9nsnHOgLBz7mnFFDpFBrufKDJJcn0NkUHE1zSHeByuHDPI+ZJDv8uVzIVdkkOS7OUQGuYcrMkhy7/HnDiMAANwgJiZG+/btU9OmTUt9PDQ0VM8++6xGjRql4cOHq3Xr1pXa7i233KI77rhD1157rS699FK1atWqxInQ8ePHnRNuvvXWW3rwwQdruDf+5ZFHHtGYMWO0cuXKSp9kVnSVWmUn6d22bZu2bNmi//3vf9WepNdkMslmsxW7ovN0/fv3V2hoqMaPH69HH320UtscO3asfv75Z919990KCAhQkyZNSu3//v37Zbfb1bVrV40ZM6bKfa9tjRs3LvP/4fHjxxUeHl7hNu655x4NHDhQvXr1Utu2bdWqVasyJxv9/vvvlZCQoNdee622d8XrJSUl6dNPP1WPHj2KLV+3bl2p7X/88UfFxMSUu02Ofc24IofIINdzRQZJ7sshMqi4muYQ74OVQwZ5HzLId/nyuZArMkjy3Rwig9zDFRkkuff4m4yaXLIKAAAqZcaMGdq2bZtmzZqlli1bltnOarVq7Nix+vLLL2W327Vjx44Kt71gwQItWrRIdrtdUuEVU8HBwZIKr2o6ffmoUaM0atSoWtgj//LEE09o//79euqppyrVvnv37vriiy/KfHz27Nl67733NGHCBPXq1avMkx+r1aqPPvpIjz/+uK688kqNGzeuyn0fOnSoevfurZtvvrncdp999pnGjRuns846S9u3b6/wd8/hcOidd97R66+/rh9++MH5e1bEYrGobdu2GjhwoK666qoSQx+4Wvv27TV58uRiy7744gsdPXpUzz//fLEr6Gw2myZPnqysrCzNnz+/wm0fPXpUjz/+uNasWSOr1Sqp8IRUkvMKyKCgIPXv31933323EhMTa2u3fMbcuXO1dOlSDR48WEOHDi3zCwa73a6ff/5ZkydPVtu2bTV9+vRyt8uxrz5X5RAZ5Hq1nUGS+3LIXzNIcl0O8T5YMTLI+5BBvs1Xz4VclUGS9+cQGeQ5rsogyX3Hn4IRAABusHv3bl1xxRUymUwaPXp0uVcYFRQUaNy4cVq/fn2lPqxK0oEDB/Tmm29q06ZN2rdvX7Hxn5s2baqOHTtqwIABVRrnG3+xWq166qmnNHjw4DJv4z/dL7/8opSUlDIfv+SSS7RkyZIqjXt92223acOGDZXuc5F33nlH9913n/r06aMhQ4aoffv2Zbb9+uuvNWrUKOXl5VX6d08qPD4HDhwo9nuXnJzs0bG6J06cWOZj999/vyIjIyVJb7zxhp544gmdPHlSTzzxRInxpsuTnZ2t7du3a+/evcrKypIkRUREqFmzZjrvvPMqdcdSXbVnzx49++yzMplM+ve//63k5ORS282ZM0eLFy+WJC1fvrzUYUNKw7GvOlfmEBnkWrWdQZL7cshfM0hyfQ7xPlg2Msj7kEG+zVfPhdyRQZJ35hAZ5DmuziDJ9cefghEAAG5y/PhxORwOhYWFlTqu7ensdrt27dpV4Rc+8E3dunXTl19+6fJ1pMITmFmzZskwDF188cXq2bNnue03b96sJUuWaMGCBVV+Ll906NAhHTp0SJJ0/vnne/wLRsCVyCEUcVcOkUEVI4fgL8ggFCGDvAcZhNJQMAIAAHCzf/7znxo3blyFJy1FPv74Y82ePVv/+9//XNwzAIA/IIcAAJ5CBgHerfRZvwAAAOAy/jZJ74wZM9SgQQPddtttnu6K261bt06xsbHq0KGDp7vidzj2QNn8KYfIIN4HPYFjD5TNnzJI8t8c4n3Qs2py/LnDCAAAD5k1a5buv//+Mn+ubVarVdddd50aNWqkhQsXuux5UDnunqQ3IyNDO3bsUHR0tM4999wSj584cUKffPKJ8+err766Rs9XJDU1VT169FBYWJi+++67WtlmTVitVq1YsUIbNmzQsWPHFBcXp4svvliDBw9WaGhorT5Xenq6LrroIkVFRembb76p1W37gqNHj+rZZ5/V999/r+joaPXr109XXnllsUl2f/31V40cOVImk0kmk0kfffRRrTy3vx/7ynJnDpFB3sedOUQG/cVdOeTv74NkkPcjg/ybP2SQ5H05RAa5hyczSKr58adgBACAh3Tv3l1ffPFFmT/XtuPHj6t79+6KjY2t1lw4qLwnn3xS48aNq7CduybpXbRokRYuXCibzSZJSk5O1oQJE9S7d29nm0OHDmn+/PnasWOHdu7cWeXJXsvz3HPPKSEhoVZPvipyyy23aPny5cWWWa1W3XLLLdq2bVuJ9uecc45eeumlWj1RstvtGjlypBo0aKCHHnqo1rbrC44dO6Zrr71WR44ccS4zmUw655xz9MQTT6hp06aSCie2TktL09KlS/Xiiy/W2u+dPx/7qnBnDpFB7lPZDJLck0P+mEGS53PIn98HySDfQAbVXd50LuTpDJL881zIn98HPZ1BUs2PPwUjAAA8xN0FI0naunWrIiMj1aJFC5c+j79zx2tZWe+//77uuusuNWjQQK1bt1ZBQYF++uknHT16VDfeeKOmTJkik8nkbD9v3jwtXLiw1k+U3K2012Dx4sV6+umnNXz4cPXu3VuJiYk6evSo1q9fr2eeeUb/93//p7Fjx3qox3XLtGnTtG7dOt1xxx06//zzZbPZtG3bNr366qtKS0vTwoULdcEFFzjbz58/XwsWLPD53ztf4+4cIoPcgwzyDuSQ55BBvoEMqru8JYfIIDLIE+pCBjGHEQAAfqRdu3ae7oLP+fbbb6u8TkFBgQt6Uj0vvviirr32Wk2bNk0BAYUf/RwOh9auXatHHnlEqampevLJJxUUFCRJxU6a6pp169bpgQceKHZ1X2xsrM466yw1atRIixcv5iSplnz66ad68skn1bFjR+eyc889VzfccIMWL16sYcOGad68eerevbsHewl3I4OqjgyqW8gh9yCDUBoyqHp8OYfIoOLIIPeoCxlEwQgAAKAcgwcP9umTh19//VWLFy92niRJktlsVv/+/dW5c2eNGDFCo0eP1oIFC5wnS1V18ODBUoeRaNy4ca3sQ205cuSILr300lIfu/TSS316Ml1vk52dXewkqYjFYtHo0aPVtGlT3XnnnZo9e7Z69OhR7efJz88v9ntXNPY9UFeQQRXzlQySyCF3IYOA2uPLOeSODJJ8J4fIIPdwVwZJrsshCkYAAADluPrqq7Vp0yYNGDCgUu0Nw9CSJUtq7flrOkmvyWRSREREqY/Fx8drxYoVGjFihEaOHKlFixZVert5eXl64YUXtHLlSh0+fLjUNvXr19f111+vW2+9VSEhIVXue22LjIws82QwMDCwRn3MyMjQvHnzik0g26NHD40dO1aJiYnV3q6vMplMstlsxU7QT9e/f3+FhoZq/PjxevTRR6u07c2bN+v111/Xpk2blJqaWuyxevXqqVOnTrr++uvVvn37avcf8BaeziCpZjlEBhXnqhwig4ojg4Da4+kc8sYMknwzh8gg93BlBknuySEKRgAA+JmdO3eqVatWnu6Gz5g0aZKuvPJKtW/fXp07d67UOq+99lqtPX9WVpZ2796tY8eOVWv9mJgY7du3zzm55t+Fhobq2Wef1ahRozR8+HC1bt26wm1mZmZq8ODB2rlzpxo0aKAePXooKSnJeZKRl5entLQ07dy5U0899ZTWrVunFStWKDIyslr7UFv+8Y9/6OOPPy42yW2Rbdu2KS4ursJt9O3bV+vWrSu2LDMzUzfccIP2798vqfCYpqam6vXXX9cXX3yhlStXVmrbdUlKSopeffVV3XzzzWW2ueSSSzR79myNGzdOZ511VoXbNAxDU6ZM0ZtvvinDMBQWFqbk5GTn5Ly5ublKT0/XqlWr9O677+q6667TQw895LNXxdZVZFDVeDqDpJrlEBlUXE1ziAyqHDIIZSGDqs7TOeRtGST5bg6RQe7higyS3JxDBgAA8Ihu3bqV+7O7nhcV+/TTT41LLrnEyM7OrlT7m2++uVaf/7vvvjN27dpVrXWnT59uXHvttcbOnTvLbZefn2/cfvvtxrnnnmukpKSU23bq1KnGNddcY2zfvr3C59++fbtxzTXXGA888EBVul1j5557rjF48OBify6//HKjY8eOxqlTp5ztjh8/bqxbt87o3bu3MXPmzAq3W9r/n8cff9zo3Lmz8c477xhZWVmGYRhGdna28e677xrdunUzZs2aVXs75iPefvtto1WrVsaYMWOMb7/9tty2X331lXH++edX+Hv37LPPGh06dDCeffZZ48CBA2W2O3DggPHMM88YHTp0MJ577rlq9d9feCKHyKCq83QGGUb1c8hfM8gwXJNDZFDlkEG+gQzyHZ7OIW/KIMPwjRwigzzHFRlkGO7NIQpGAAB4CAUj37J79+5iH659xa5du4xWrVoZKSkpxrx588pta7VajdGjR1f4gfWiiy4y0tPTK92H1NRU48ILL6x0+9rwzTfflPnHarU62y1dutTo2bOn0bNnT+PHH3+scLul/f+54oorjA0bNpTa/rPPPjP69OlT/R3xUfn5+cYDDzxgTJ06tcxjc7pvv/3WGDVqVLltLr30UmPbtm2V7sO2bduMvn37Vrq9P+LLOt9BBv3FFzLIMFyTQ2RQ5ZBBvoEM8i2+mEOuyCDD8I0cIoM8xxUZZBjuzSGGpAMAwIf16tWryutkZGS4oCd1X/PmzT3dhWpp0aKFvvrqKzkcDoWFhZXbNjAwUHPnztWuXbvKbVdQUKCEhIRK9yEpKUk2m63S7WtDaRONlmbIkCEaMmRIjZ7r+PHj6vb/7N13WBTXwgbwFxQUpSgqmICxZlEDRNSABTWKHRvGrmBvEUyMPZYosRBrItYYE0sSo7Fg7CJeCypi1CixYLCEogKC9KZwvj/8dsOyu7BLX/b9PU+ee505M3Nmd5l3Zs/Zc9q3V7quffv2Ovk3Z2hoqNHEua1bty5wnO3k5GR8+OGHau/zww8/REpKitrlSXPMoNLDDPqPNmQQUHo5xAxSxAzSDcyg0qWNOVQSGQRoRw4xg8pOSWQQULo5xAYjIiIiLWZgYICYmBjUqFGjrKtCxSQ6OhqXLl1CfHw8atasifbt2+Pdd98t0j41GTe6UqVKaNq0ab5lrK2tsW/fPgwdOlStfe7btw9WVlZq10HbmJmZqVynp6dXLia5rQiMjY1x584d2Nvbq1X+r7/+UjnRMRUPZlDFVNw5xAwqWcyg0sEMKn+YQRVTec8ggDmUGzOo9JRmDrHBiIiIqIzUrVs333+rw8fHB56enhpNJuns7Kzxcah4/fbbbxg2bJjC8l27dmHt2rV4/fo1hBDQ09NDpUqV4OXlhcmTJ5dBTZWbPHkypk2bhrNnz6J79+6wsbGBpaWl3ESv0dHRCA0NxenTp3H58mVs2rSpjGtdctq1ayebWDSvwMBA1KlTpwxqVT68evUK9+/fh5mZGT744AOF9QkJCTh//rzs3wMGDFC5r8GDB2PChAmYOHEievTogffee09pufDwcJw6dQo//PBDufq7KY+KmkPMIO2lzTnEDJLHDFKNGVS+MYN0lzZnEMAcyo0ZpFpxZhBQujmkJ4QQhdqSiIiIyoW1a9fi33//xYYNG9Qq7+zsjMDAwBKuVcW2YsUKfPnllyr/XRBl70FgYCAmTJiABg0aoHPnzqhTpw5iY2Nx/vx5PH36FBs3bizU0BslUX8A8PPzw4oVK5CcnKyyjBACpqam+PLLLwu8AS4NxXHezZs3xzvvvCO3LD09Hampqbh48aKsl114eDjOnTuHrVu3YujQoZgxY2QB1awAAQAASURBVEbRT0DLbNmyBZs3b5YNwfHee+9h9uzZ6Nq1q6xMVFQUNm7ciPv37yM0NBT3799XuT8hBBYsWIBDhw7JeizWqVNH7uE8NjYWGRkZEELgk08+wbJly6Cnp1eyJ6rjmEGlrziuZWWZQ7qaQUDRz50ZpD5mkG5gBpUNbX4WKo4MArQzh5hBpae4Mwgo3RxigxEREVEpCAwMLLEebVlZWdiwYQPc3d1haWlZYPkHDx6o9VN7Ui3vQ46mD5/Kyk+aNAmmpqZYtWoV9PX1ZctzcnKwYMECPH/+HDt37ixy3ZUdv7APz8nJyTh58iSCg4Px9OlT2QOTiYkJGjRoACcnJ/Ts2RMmJibFUu+iKo7zjoqKUrnu3Xffld2QHz58GIcOHQIAeHt7o2HDhoWosfY6deoUPv/8c7zzzjuwtbXF69evcffuXbx8+RLDhw/HokWL5B5efH19sXnz5gIflADg2rVr2L9/P65fv46YmBi5dRYWFnB0dMSQIUPUHrtdV5RUDjGDSl9xXMvKMod0NYOAop87M0g9zKDyhxlUsWjzs1BxZRCgfTnEDCodJZlBQOnkEIekIyIiKgXz5s0rsd5shoaGmDVrltrl+ZBUPj148AC///673AMSAOjr62P27Nno2bNnGdVMNRMTEwwZMgRDhgwp66qUGnXHH3dzc4Obm1sJ16b8+vnnn/HJJ59g6dKlqFz57SNHTk4OTp48CR8fH0RHR2P9+vUwNDQEAI16vjk5OcHJyQnA216NuR/OjYyMivlMKo6SyiFmUMWhbTnEDFKNGcQMKm+YQVQQbcsgQPdyiBmknpLMIKB0cogNRkRERKUgNTUVGzdu1Hg7T0/PEqgNlUf6+voqe0aam5ujUqVKpVwjosJ7+PAhtm7dKntIAt5+xl1dXdGmTRvZ2O+bNm2SPSwVhpGREb+gUxNziArCHKKKghlU/jCDqCDMIKooSiuDgJLLITYYERERlYKcnJx8f8ItlZycjHPnzkEIAQsLi3wfklJSUuDh4YG1a9cW6mfe+/btw+3bt7FixQqNt6XiV69ePTx9+hQNGjRQWBcfH4/q1auXfqWICklPTw/GxsZK19WqVQt79uzB5MmTMWXKFGzZsqVQx4iIiFA6/Ee9evUKXe+KrLhziBlU8TCHqKJgBpU/zCAqCDOIKorSyCCgZHOIDUZERESlwMTEBCtXrsy3zM2bNzF79mzk5OSgU6dOBZY3NjbG2LFjMWrUKHz22WcYOHCgXC8WVWJjY7F161acPn0aBw8e1Og8qHhkZGTAz89PbpmlpSWWLFmCHTt2yPWge/PmDVatWqX1Q2iEhobCxsamrKtRLMLCwvDtt9/izp07MDMzQ8+ePTF69Gi5B4O///4bgwYNgp6eHvT09HDv3r0yrHHpq1GjhsqHfuBtb7jt27fj008/xcSJE2Fra6vWfjMyMvDjjz/iwIEDeP78udIydevWxeDBgzFu3DjZJLBU/DnEDNJuupZDzCBmUG7MoNLHDKLcdC2DgIqTQ8yggpVUBgGll0NsMCIiIioF+Y2tLYTApk2bsHXrVgDA3LlzMXbsWLX227dvX6Snp+Prr7/GunXr0Lp1azRq1Ai1a9eGkZERKleujDdv3iAxMREvXrxAaGgo/vrrL1hYWODHH39Ua3JYKn7dunXDtWvX5JYZGBjgnXfeQVpammxi1N9//x1r165FYmIi1q5dWxZVLTbjx48vsXm8SlN4eDiGDRuGlJQUAEBMTAz++ecfHDhwAGvWrEGrVq0AALa2tnjw4IFsElNd06FDB8yaNQsrVqyARCJRWqZKlSrYsmULvLy8sHv37gL3mZSUBHd3d4SGhuKdd95Bp06dYGFhIXsQysjIQExMDEJDQ7FhwwacOXMGe/bsKTcTDZe1ksghZpD20rUcYgbpFmZQ+cMMotx0LYOAipFDzCD1lEQGAaWbQ2wwIiIiKgUDBgxQuvzZs2eYNWsWbt26hXr16mHdunUa9TABgCFDhqB169bYsmUL/P39cfbsWQDykycKIQAAFhYWmDx5MsaNG4dq1aoV7mSoyArqYSnVrl071K9fHwDQokWLEqwRqWvTpk2oVasWvv32W7Ro0QJv3rzB7du3sWfPHowdOxarVq2Sm5RX00lMK4phw4bh559/Rv/+/TFt2jSVQ8oYGhpi48aNmDFjBgICAvLd59q1a1GpUiXs378f9vb2+Za9c+cOlixZgrVr12LJkiWFPY0KpaRyiBmknZhD2okZpB5mUPnDDKLcmEHaiRmknpLIIKB0c4gNRkRERGXkxIkTWLJkCZKSkuDq6oqlS5eqHOu2II0aNcLq1auRlZWFkJAQPH78GAkJCXj9+jWMjIxgYWEBGxsbNGnSpJjPgkqSlZUVrKysyroaClxcXDTe5tWrVyVQk9J39epVfP/993LDYnTq1AmdOnWCn58f5s2bh7S0NAwcOLAMa1n2mjRpgitXriAnJ6fAL2UMDAzw3Xff4Z9//sm33Pnz53Hw4EHUrl27wOPb29tj69atGDRoEL+sy0dx5RAzqOIqjznEDGIGFYQZpB2YQVSQ8phBgO7mEDNIPSWRQUDp5hAbjIiIiEpZWloavL29ceTIEVStWhXLli3DoEGDimXfhoaGaNWqlezn4FT+VIRJeg0MDBATE4MaNWqUWR3KSmZmpsox1AcMGABra2t8+umnyM7OxuDBg0u5duWLubm52mUrVapU4Nj0r1+/VusBScrCwgJv3rxRu7wuKakcYgZpB23PIWYQM0gdzKDyixmk27Q9gwDdzSFmkPqKO4OA0s0hNhgRERGVopCQEMyaNQv//vsvJBIJ1q9fj8aNG5d1tagUVYRJen18fODp6YkDBw6ofTPs7OxcwrUqHZUrV0ZGRobKCURbt26NH374ARMnTuQXRcXM2toa+/btw9ChQ9Uqv2/fvnLZK7WsMYdI23OIGcQMKgvMoOLBDCJtzyBAd3OIGVS2SjOH2GBERERUSrZt2wZfX1+8efMGw4YNw5dffglDQ0OV5RcvXgxvb+9SrCGpq27duvn+uyBlPUlvUevfokULuLm5YcmSJdiwYUOR6lKainreAGBnZ4fNmzfjiy++UFnG3t4eP/30E8aPH69R77KKbsWKFfjyyy9V/rsgkydPxrRp03D27Fl0794dNjY2sLS0lJvoNTo6GqGhoTh9+jQuX76MTZs2Fft5aDPmUMVQHNeysswhXc0goOjnzgwqPGZQ2WMGVRza/CxUHBmqrTnEDCo7Rc0goHRzSE9IZ38jIiKiEuPh4YHr16/D1NQUy5YtQ7du3QrcxtnZGYGBgaVQOyorjx8/lk3Sm5GRAUD1JL1DhgwpV5P0ZmVlYcOGDXB3d1froe3Bgwdq/dS+vPP394eXlxeaN28OT09PdOnSRWXZ0NBQjB07Fq9evcL9+/dLsZblU95rWmGucX5+flixYgWSk5NVlhFCwNTUFF9++aXKSbZ1EXOIlNHWHGIGMYM0xQwqW8wgUkZbMwjQzRxiBhVecWQQUHo5xAYjIiKiUiC9OTQ1NYWJiUmB5YUQiI6Oxt27d0u6alSAwMDAEh9CoCQn6S2N+pdHJXXe2dnZ+PHHHyGEUGuc/EePHmHfvn0a9yCriIrrQSk5ORknT55EcHAwnj59KntgMjExQYMGDeDk5ISePXuqda3VJcwh7VRa1/CSyiFdzSCgZM6dGVR4zKCyxQzSXtr8LMQMYgaVF8WVQUDp5BAbjIiIiEqBk5MTfH191S4vhMD06dNx7dq1EqwVqUPbezdqe/0LS1fPuzwrzgcl0hxzSDtp+9+Jtte/KHT53MsjZlDZYgZpL23+W9HmuheVLp97eaRtGcQ5jIiIiEqBgYEBHB0dNd6Gyl5qaio2btyo8Xaenp4lUBvNFXf9U1JS4OHhgbVr16Jhw4Ya73ffvn24ffs2VqxYofG2miiJ901bzp1IGeaQdmIGydOm67AunztRXswg7aXNOaTLzwPMICoKNhgRERGVgrNnz5bKNlT8cnJyEBUVVWC55ORknDt3DkIIWFhYlIuHJKD4629sbIyxY8di1KhR+OyzzzBw4EBUrlzwLWVsbCy2bt2K06dP4+DBgxqfh6ZK4n3TlnMnUoY5pJ2YQfK06Tqsy+dOlBczSHtpcw7p8vMAM4iKgg1GREREpaBq1aqlsg0VPxMTE6xcuTLfMjdv3sTs2bORk5ODTp06FVi+NJVE/fv27Yv09HR8/fXXWLduHVq3bo1GjRqhdu3aMDIyQuXKlfHmzRskJibixYsXCA0NxV9//QULCwv8+OOPak0MW1Ql9b5pw7nTf0JDQ2FjY1PW1SgXmEPaiRmkSFuuw7p87vQWM+g/zCDtpc05pMvPA8wgAgqfQ5zDiIiIiCgffn5+GDBggNJ1Qghs2rQJW7duBQDMnDkTY8eOLcXaFawk6//48WNs2bIF/v7+yMjIAADo6enJ7R8ALCwsMGTIEIwbNw7VqlUr5JlopqTft/J87uVVWYzdXd7HBycqCDNItfJ+Hdblcy+PmEFEhaPNOaTLzwPMoPKlrOYwKuxx2GBEREREVAjPnj3DrFmzcOvWLdSrVw/r1q2Dra1tWVdLbcVZ/6ysLISEhODx48dISEjA69evYWRkBAsLC9jY2KBJkybFXPvCK+73TZvOvazxyzqi4sMM+o+2XYd1+dzLEjOIqHhpcw7p8vMAM6hsaFuDEYekIyIiItLQiRMnsGTJEiQlJcHV1RVLly6FsbFxWVdLbcVdf0NDQ7Rq1QqtWrUqxloWv5J437Tl3CsCFxcXjbd59epVCdSEqGwxg+Rp03VYl89d2zGDiP6jzTmky88DzCDtVpo5xAYjIiIiIjWlpaXB29sbR44cQdWqVbFs2TIMGjSorKulNm2vf2Hp6nlXNAYGBoiJiUGNGjXKuipEZULbr2XaXv+i0OVzryiYQUTafS3T5roXlS6fe0VSmjnEBiMiIiIiNYSEhGDWrFn4999/IZFIsH79ejRu3Lisq6U2ba9/YenqeZdHdevWzfffBfHx8YGnpycOHDgAc3NztbZxdnbW6BhE5ZW2X8u0vf5FocvnXp4wg4iKRpuvZdpc96LS5XMvT4qaQUDp5pB+obYiIiIi0iHbtm3D8OHD8e+//2LYsGE4cOBAvjfaixcvLsXaFUzb619Yunre5dWBAwfy/XdBWrRoATc3NyxZsqQYa0VU/mn7tUzb618Uunzu5Q0ziKjwtPlaps11LypdPvfypqgZBJRuDukJIUSJH4WIiIhIS3l4eOD69eswNTXFsmXL0K1btwK3KU+THGt7/QtLV8+7vAgMDCyRntVZWVnYsGED3N3dYWlpWWD5Bw8eoGnTpsVeD6LSou3XMm2vf1Ho8rmXNWYQUfHR5muZNte9qHT53MtaSWUQUHo5xAYjIiIionxIb7BMTU1hYmJSYHkhBKKjo3H37t2SrppatL3+haWr511e8IGTqHho+7VM2+tfFLp87mWNGURUfLT5WqbNdS8qXT73slYRMohzGBERERHlw8zMDL6+vmqXF0Jg+vTpJVgjzWh7/QtLV8+7vEhNTcXGjRs13s7T07MEakOkvbT9Wqbt9S8KXT73ssYMIio+2nwt0+a6F5Uun3tZqwgZxAYjIiIionwYGBjA0dFR423KC22vf2Hp6nmXFzk5OYiKiiqwXHJyMs6dOwchBCwsLFQ+KKWkpMDDwwNr165Fw4YNNa7Pvn37cPv2baxYsULjbYnKkrZfy7S9/kWhy+de1phBRMVHm69l2lz3otLlcy9rxZ1BQOnnEIekIyIiIspHRkYGqlatWuLblBRtr39h6ep5lxfqDMVw8+ZNzJ49G1FRUejUqRNWrlwJc3NzleWPHj0KHx8ffPbZZxg4cCAqVy6471tsbCy2bt2K06dP4+DBg2qN9U1Unmj7tUzb618UunzuZY0ZRFR8tPlaps11LypdPveyVhIZBJRuDrHBiIiIiIiIipWfnx8GDBigdJ0QAps2bcLWrVsBADNnzsTYsWPV2u/+/fvx9ddfo3r16mjdujUaNWqE2rVrw8jICJUrV8abN2+QmJiIFy9eIDQ0FH/99RcsLCywZcsWSCSS4jo9IiIqx5hBRERUVkoqg4DSyyE2GBERERERUal49uwZZs2ahVu3bqFevXpYt24dbG1tNdrH48ePsWXLFvj7+yMjIwMAoKenJ1svfbyxsLDAkCFDMG7cOFSrVq34ToKIiLQSM4iIiMpKcWQQUDo5xAYjIiIiIiIqcSdOnMCSJUuQlJQEV1dXLF26FMbGxoXeX1ZWFkJCQvD48WMkJCTg9evXMDIygoWFBWxsbNCkSZNirD0REWkzZhAREZWV4s4goGRziA1GRERERERUYtLS0uDt7Y0jR46gatWqWLBgAQYNGlTW1SIiIh3ADCIiorKirRlU8OxIREREREREhRASEoJZs2bh33//hUQiwfr169G4ceOyrhYREekAZhAREZUVbc4g/bKuABERERERVTzbtm3D8OHD8e+//2LYsGE4cOBAvg9JixcvLsXaERFRRcYMIiKisqLtGcQh6YiIiIiIqFh5eHjg+vXrMDU1xbJly9CtW7cCt3F2dkZgYGAp1I6IiCoyZhAREZWVipBBbDAiIiIiIqJi1bRpUwCAqakpTExMCiwvhEB0dDTu3r1b0lUjIqIKjhlERERlpSJkEOcwIiIiIiKiYmVmZgZfX1+1ywshMH369BKsERER6QpmEBERlZWKkEFsMCIiIiIiomJlYGAAR0dHjbchIiIqKmYQERGVlYqQQRySjoiIiIiIilVGRgaqVq1a4tsQERHlxQwiIqKyUhEyiA1GREREREREREREREREOk6/rCtAREREREREREREREREZYsNRkRERERERERERERERDqODUZEREREREREREREREQ6jg1GREREREREREREREREOq5yWVeAiIiINOfu7o7g4GCNttm9ezecnJw02ubQoUOIioqCl5eXRtvlde3aNXh4eBSpLtog9/vi6OiIPXv2lHGNik9MTAzWr1+PK1euID4+HrVq1UKrVq2wdu1apeUXLFiAAwcOqL3/gIAAWFtbIzIyEi4uLnLrvv32W/Tq1Svf7bOysuDi4oKYmBjZspUrV2LgwIHw9fXFxo0bVW5brVo1NGnSBG5ubhg2bBj09f/rUzVmzBhcvXpV7fMIDQ0FAKXnIWViYoLatWvDwcEBrq6ucHZ2Vnv/xfm3VBqfVxsbG9n/9/T0LPK1hMoP5lD5xBz6D3OIOQQwhyoqZlD5xAz6DzOIGQRocQYJIiIi0jqjRo0SGzZskFsWFBQkJBKJGDVqlEJ5iUQigoKCCnUciURS6HrmtWHDhkLXRZuoeh+02YgRI0Tr1q1FSEiIyMzMFCdOnFDrsyH9DKl6zyMiIoREIhERERFyy6WfZ4lEIgYMGFDgcX799VdZ+YMHDyotM3fuXIX18fHx4uzZs6JTp05CIpGIb775Rum2nTt3VlrPvPVVtVz6ecjOzhZxcXHi0qVL4vPPPxc2NjZi5MiR4sWLFwWeY27F+bdU0p9X6WuQ95pF2o05VL4xh/7DHGIOMYcqHmZQ+cYM+g8ziBmkjRnEIemIiIiIKF8pKSn4888/0bZtW9ja2sLQ0BC9evXCiRMnSvzYVlZWuHfvHi5cuKCyTHZ2Nn744QdYWVlpvP+aNWvCxcUF8+bNAwD88ssvyMrKKnR9C6Kvrw9zc3M4Oztj/fr1WL16NW7cuIERI0YgPj6+xI5LRKTNmEPFhzlERKQZZlDxYQZpBzYYERERaaHx48ejS5cuapdftmwZGjZsWII1ooosISEBwNvhCnJr3LhxkfdtZWWFmzdvqnzAGTduHABg27ZtKvdx7Ngx1KhRA46OjoWuR5MmTQAAGRkZSEpK0nj71q1b4+bNmxpv17dvX7i7uyMyMhJff/21xtsTlRXmEJUm5lDBmEOkS5hBVJqYQQVjBlUsbDAiIiLSQh9//DE++OADtcsPHjwYFhYWAIDDhw9jyJAhcHBwgIODA4YOHQo/Pz+58ocOHYKNjY1sTF8bGxvZf4cOHQLwtieTn58fpk6dii5dusDW1hbOzs6YOXMmwsPDi3yOf/31l9xxg4KC8OOPP8LFxQW2trbo2bMnjh07JrfNvHnzZOXd3d1ly+Pj4+X2de3aNdm677//Xm5damoqFi1aBEdHRzg5OWH27NlITEwEAPz6669wcXGBnZ0dhgwZgpCQkHzP4cmTJ5g6dSo++ugjtGjRAu7u7rh165bSss+fP8eCBQvQoUMH2Nra4uOPP8ZXX32F2NhYuXI9e/aU1XXevHkICQnB2LFj0bJlS9lydfzzzz+YMWMG2rVrB1tbW7i4uMDHx0f2QCTVpUsX2fjThw8flh3D19dXrePkR/oZq169OvT09JSWGTRoEMzNzXHjxg38+eefCuuFENi+fTsmT55cpLo8evQIAGBubo5atWqpvV1kZCRsbGzw/PlzVK9evVDHHj9+PPT19XHy5ElEREQUah9Sjx8/xpo1a+Dm5obWrVvjww8/hJubG/bu3QshRL7blsTnNT/Z2dn45ZdfMGDAALRs2RJt2rTBsGHD8P333yM6Olqj86bSxxxiDjGH3mIOyWMOUWlgBjGDmEFvMYPkMYOKBxuMiIiIdMhXX32FefPmoXPnzjh//jzOnz+PTp06Ye7cuXI9egYOHIjQ0FBZL6XQ0FDZfwMHDgQAJCYmYu7cuahWrRp27dqFGzduYPv27YiNjcXgwYPx7NmzItW1RYsWCA0NhaenJwBg+/bteP36NX7//XecPHkSderUwaxZs3Dnzh3ZNj4+PrKJNnMzNzeX21dukyZNkjvXRYsWoVu3bjh37hyWLVuGkydPYvbs2Th48CBev36NQ4cOYd++fXj58iWmTJmC9PR0pfWPj4/Hl19+iQkTJuDy5cvYu3cvEhMT4eHhIfeQBry9QR84cCCCg4OxceNG3Lx5E+vXr8fVq1cxePBguRvGU6dOISAgAADw9OlT+Pj4YObMmbh06RImTJig1msbFBSEwYMHIzY2Fnv27MHNmzexbNkynDhxAoMHD8bLly9lZc+dOyc7npubm+xzUFoTdlatWhWjR48GAGzZskVh/dmzZ5GdnY2uXbsWav8JCQk4f/48fHx8YGxsjOXLl6t8YCsplpaWaNKkCYQQuHz5cpH29fPPP2Pfvn2YNm0aLly4gP/9738YNmwYli9fjlWrVqncrqQ+r/lZvXo1VqxYgdGjR+PixYs4ffo0+vfvj2+//Rb79+8v0utA5RdziDkEMIdyYw69xRyi0sAMYgYBzKDcmEFvMYPkscGIiIhIR5w9exa//fYb+vTpg6lTp8LMzAxmZmb49NNP4erqip9//hn/+9//1N5f5cqV8eGHH2LlypWoV68eqlSpgmbNmmHDhg1ISkrCjh07irX+BgYGmDx5MszNzVGvXj3Mnj0bQggcPXq0WI/TsmVLdOzYEcbGxujWrRucnZ1x8eJF3Lx5E6NHj4aZmRmaN2+OkSNH4uXLlypvasPCwvDZZ5+hVatWMDQ0RLNmzfDdd9/h9evXWLRoEXJycmRlZ8+ejfj4eHh7e+PDDz+EoaEhHBwcsHTpUjx//lzlze2dO3ewatUq2Nraonr16nB3d0fv3r3zPb/MzEzMmjULenp68PX1RePGjWFoaIi2bdti+fLlCA8Ph7e3d+FfQBU8PDzkei+q2/sPAEaOHAljY2MEBgbi7t27cuu2bduGiRMnQl9f/dva+fPny+rg5OSEyZMno06dOti2bVuBw5u4uLjInYO0x2FR1atXDwDw77//Fmk/devWxRdffIGuXbuievXqMDc3x9ChQzFixAjs3r1b7gE4t9L4vOYl7b3r5uYGY2NjmJmZYfjw4XB1dS3Sa0DlF3NIPcwh5lB+mEPMISocZpB6mEHMoPwwg3Qjg9hgREREpCN+++03AFB6AyJd9uuvv6q9P1NTU+zfvx+GhoZyy2vUqAFLS8tCjWGcn7w3o40aNQJQ9JvKvDp16iT37wYNGkAIgZYtWyosB972bFOmVq1aaNOmjdyyhg0bonnz5vj3339lr8+dO3dw9+5dWFtbo23btnLl27ZtC3Nzc5w+fRqpqakKx7C3t5cb77pu3bpYv359vucXEBCA2NhYODs7o2bNmnLrnJ2dUaNGDZw5c0ajn9OrY/fu3XK9M5X1flTFxMQEw4cPByA/fvfly5cRFxeHvn37alSXlStXyupw+/ZtHDlyBNbW1hg1ahRWrFiR73AFAQEBcucg7XFYVNIx0VNSUoq0n0mTJsleq9wkEgnevHmD27dvK92uND6veenp6eHJkyd48OCB3PIFCxbIDaNCFQdzSD3MIeYQc+gt5hAVJ2aQephBzCBm0Fu6nEFsMCIiItIR0jGmpQ8XuUmXFTQOdV6hoaGYOXMmunbtCltbW1lPo+fPn8vGui4u0nHHpaRjJKsaBqG4j1OnTh255cbGxgDeTgyqTN26dZUul064K70xlA4j0axZM6Xl33nnHbx+/RoPHz5U+xj5ye9zoKenh4YNG0IIodB7rayNGTMGVapUgb+/v2yM7a1bt2LcuHEwMDAo9H6rVq2Kpk2bYu3atWjevDl27dqFw4cPF1e11SZ9qJB+rgorKysLP//8Mz755BM4OTnJ/iYXLFgAAConsS2Nz2teo0ePRlpaGgYOHIhJkybBz88PSUlJqFGjBmrUqFHg9qR9mENFOw5zqGwxh9TDHKLyihlUtOMwg8oWM0g9zKDiUblMj05ERESlRtpbx8jISGGdtEdPcnKy2vu7du0axo8fDysrK6xYsQJ2dnayfRf0U/bCqFq1qty/S2ps5SpVqmi0XFUPLFWTfkpfI+lrLf1ff3//fIcmiIuLU1iW9zVRh/R4yj4HuZerupkuTpr0rKtduzY++eQT/Prrr9i+fTuGDh2KsLAwbN++vVjqoqenh86dO+Pu3bs4fvy4bHz6glhbW2t0HqpIe2dKH0oKQwiBqVOnIjAwEJMmTcKoUaNgYWEBPT09HDp0CPPnzy/Tz2ten376KSQSCXbu3ImLFy/iwoULqFq1Kvr37485c+YU+YGRyh/mkHqYQ8wh5tB/mENUXJhB6mEGMYOYQf/R1QxigxEREZGOMDExwatXr5T2QktLSwPwdmgFdW3btg2vX7/GnDlzZJOklnfF3QMvP6p+hi6tg4mJCYD/XvO+fftizZo1JV4v6XFVvRbS5WZmZiVeF02NHz8e+/fvx9GjR/H48WN4eHgU6kFRldq1awMAoqKiim2f6nj27BmePHkCPT09tGvXrtD7uXXrFgIDA9G8eXPMnDlTo23L6vPatWtXdO3aFc+fP8fx48fxyy+/YN++fQgPD8fOnTuLvH8qX5hDzKHcx2UOKWIOKWIOUXFhBjGDch+XGaSIGaRIVzOIQ9IRERHpCHt7ewCQ/YQ9N+kyaRl1SG8kpeNX56ZqaILSUrVqVdmDX27R0dGlVocXL14oXf748WMA//2MXfqaq7oxj4+Px8WLF4vtAS+/z0FOTg6ePHkCfX192NraFsvx1LF+/XpEREQUWM7a2hq9e/fGmzdvEBYWhpEjRxZrPaRjlRdmCICkpCSsX7++UL0Rv//+ewgh0Lt3b1hbW2u8vZT0M1S/fn2FdQX9TZbF5/Xs2bOyCWTfeecdTJgwAUeOHEHNmjVx9erVUunZSaWLOcQcyn085pAi5pAi5hAVF2YQMyj38ZhBiphBinQ1g9hgREREpCOkkz8eP35cYd2JEyfkykhJe1ZlZmYCAH766Sd4eXkBeHtTAyj+lP7p06dq/QS7JNWvXx/h4eHIzs6WLcvMzERgYGCp1SEuLg5Xr16VW/b48WPcv38fDRo0kE0ca2dnB3t7e/z111948uSJwn42bdqEr7/+WuUwEJpycXGBpaUlLl++jFevXsmtu3z5MhISEtCtWzfUqlWrWI6njq1bt+LZs2dqlZ00aRIaNmyICRMmaNQLtCA5OTmySVudnZ013j4pKQlbt27V+Mb+0KFD+O2332BtbY2FCxdqfNzcpH+T//zzj8JwCzdu3Mh327L4vE6bNk1hH6amprCwsEDlypVRuTIHQ6homEPMIYA5pApziDlEJYsZxAwCmEGqMIOYQbmxwYiIiEhHdO7cGaNGjcLx48exZcsWJCYmIikpCVu2bMHx48cxatQofPzxx3LbSHtWXblyBfHx8Th8+LBsfN/Ro0dDT08Pq1atwtWrV5GWloa7d+9ixowZJTamtrr69u0r6+X06tUrREREYO7cuSonpywJ7777Lnx8fHDz5k1kZWXhwYMHmDFjBgwMDLBs2TK51+ibb76Bubk5pkyZgitXriAlJQXR0dHw9fXF/v378dVXX0Ffv3hu2wwNDbF27VoAgJeXFx49eoSsrCxcvXoVCxYswHvvvYfFixcX+TgZGRlISkrCmzdvALwd6iMpKUnpf5p4//33cerUKXz66adFrqO0ng8ePMAXX3yBBw8eoGnTphgzZoxsvbTe0t5fKSkpSs9BOi5+QXJycvDq1SsEBgZi+vTpmD9/Plq1aoVff/0V5ubmRTqXli1bwt7eHmFhYVi2bBliYmKQkJCAH3/8UfZFiCpl9Xn98ssvcefOHWRkZCA+Ph4//PADQkNDMWjQINl8AlRxMIeYQwBzSFk9mUPMISp5zCBmEMAMUlZPZhAzKC89oWq2JyIiItIKkZGRcHFxUVju5uYGHx8fheV+fn7Yu3evrDecRCLBiBEjMGDAAIWyKSkp+OqrrxAYGIg3b96gdevW8Pb2hqWlJYC3vbA2bdqEhw8f4s2bN5BIJBg9ejTWrl0r+5m2p6cnHB0d4eHhobD//CbIVHZeVlZWOHfuHObNm4fDhw/LrVu5cqVscs7s7Gx8++23OHz4MBITE/H+++/jiy++wK1bt7Bx40YAbye3vXXrlmwCTGWvXd6JLKXH79Kli8LP0AMCAjB//nwEBwcDABwdHTF79mysW7cOISEhePPmDezt7fHFF1/AwcFB4Xyjo6OxefNmXLhwAS9fvkStWrXw4YcfYuLEibCzs5OVc3d3lx1DytHREXv27FH5WioTFhaGTZs2ISgoCMnJybCwsEC3bt0wdepUuWEIlJ0rUPAkrQsWLMCBAwfUrs/u3bvh5OQEACpfd1V8fX1l76uyfapaDwCVKlWCiYkJGjVqhK5du2LkyJFyY4GPGTNGobdZfgICAmBtba3y7xJ4O6lqnTp14ODgAFdXV3To0EHt/V+7di3fv6Xk5GT4+vri3LlzePHiBWrWrIlOnTrhvffekz0cS8vn/iyV1OdV2WSw0vflwoULOHbsGO7cuYPo6GhUqVIF7733HoYMGYKBAweiUqVKar8uVLaYQ28xh5hDqvbJHGIOUclhBr3FDGIGqdonM4gZpCk2GBEREREREREREREREek4DklHRERERERERERERESk49hgREREREREREREREREpOPYYERERERERERERERERKTj2GBERERERERERERERESk49hgREREREREREREREREpOPYYERERERERERERERERKTj2GBEREREKj19+hQ3btwo62oQUTnj5+eH7Ozssq4GVXDMICJShhlEpYEZRETK6EIGscGIiIiIlDp27BgGDRoEIURZV6Xc27lzJ3bu3Kly/cSJE9GlSxfEx8eXXqVKyO7du+Hq6ooWLVrAyckJ7u7uuHPnjsrySUlJ8PX1xdmzZ0uxlsCRI0fg4OCAI0eOFHlf8fHx6NKlCyZOnFgMNdMOkZGR8PX1xbVr15SuP3HiBMaMGYOEhITSrRjpDGaQ+phBzKCKhhlEZY0ZpD5mEDOoomEGscGIiIiIlLhw4QLmzJmD1atXo3Xr1mVdnXJv9+7d2L17t8r1kZGRiIuLQ1paWinWqvgdOHAAy5cvR9++fXHlyhUcOnQIMTExCAsLU7lNUlISNm7cWOoPStHR0UhLS0N0dHSR95WWloa4uDhERkYWQ820Q1RUFDZu3Ijg4GCl6319fZGdnY1PP/0Ub968KeXaUUXHDNIMM4gZVNEwg6gsMYM0wwxiBlU0zCCgcllXgIiIiMqXlJQULFiwAB07dkTnzp3LujoVwuHDh5GRkYEaNWqUdVWK5MKFCwAAd3d3VKtWDdWqVcOePXtgZGRUxjVTNGnSJPTv3x+WlpZF3pe1tTUuXLiAqlWrFkPNKoYqVapg/vz5GDRoEHbt2oXx48eXdZWogmAGFT9mUOljBpUsZhCVFGZQ8WMGlT5mUMnShQziL4yIiIhIzoEDBxAbG4tx48aVdVUqjKpVq2r9QxIA2c/uq1evLltmYWEBExOTMqpR/orjIUmqRo0afFDKw87ODo6OjtixYweysrLKujpUQTCDih8zqGwwg0oWM4hKAjOo+DGDygYzqGRV9AzSExyQk4iIiHIZOHAgwsLCcPPmTVSu/N+PkX19fbFx40bZvy9evIg1a9bg8uXLSE5ORsOGDTFu3DgMGDBAVub777/H2rVrZf++efMm1q9fj9OnT+Ply5fIycnBypUrMXDgQADAP//8g82bN+PatWtISkqCpaUlunXrhilTpsg9aNjY2Mj+v6enJ+rVq4edO3fi8ePHMDIyQseOHTF79mxYWFgonN/Nmzexbds23Lp1C+np6bC2toarqyvGjx8v10PMzs5OdvPn6ekJBwcHbNy4EQ8ePEB6ejqsrKzg5uYm95rkJh2awcPDQ26Zk5OTXLlnz55h06ZNuHTpEuLj42Fubo6OHTti2rRpeOedd2Tlxo8fj8DAQACAo6MjvL29sWLFCvz555/Q19dHhw4dsHjxYpibmyutjzJpaWn48ccfcezYMURFRcHIyAgtW7bE5MmT4eDgICuX972XsrKywrlz51Tu393dXeVP+UNDQzX6fAQFBeHIkSO4desWnj9/DgMDA9jZ2WHSpElo27at3L67dOmCqKgoAICbmxt8fHwAAMePH8cXX3whK3f69GkcOnQIhw8fRkJCAho3bow5c+agXbt2Ks89NDRU9v/zfkbs7e3x3Xff4Z9//oGZmRkGDhyIzz//HPr68n20cnJy8NNPP2H//v2IioqCubk5unfvjkGDBqF///6ycrn/NlR59OgRNm/ejBs3buDVq1eoW7cu7O3t0bt3b4WesQkJCdiyZQv8/f0RExMDMzMztGnTBl5eXmjQoIHS1y83Ze/3pk2bsGHDBmzbtg0ff/xxvnUlUgcz6C1mEDNI2bkzg5hBVLKYQW8xg5hBys6dGaRDGSSIiIiI/l9iYqKwsbERffv2VVlm1KhRQiKRiAEDBoijR4+KtLQ08ezZM+Hl5SUkEon46aefVG4zZcoUcejQIZGYmChu3bol7OzsxMGDB4UQQly9elV8+OGHYuTIkSIsLExkZmaKK1euiA4dOoiuXbuK2NhYuX0GBQUJiUQievToISZNmiTCw8NFRkaG8Pf3Fw4ODqJLly4iPj5ebps//vhDNGvWTHh5eYnIyEiRnp4uTp06JVq2bCkGDRok0tLSlB7Dw8NDjB8/XoSFhYnk5GTxxRdfiM6dO8vKde7cWe7feW3YsEFIJBIRFBQktzw0NFQ4OTkJV1dXcefOHZGZmSnu3LkjevfuLdq0aSPCwsIU9iWRSESfPn3E6NGjxZ07d0RycrI4cuSIaN68uZg0aZLKOuSVmpoqBg4cKFq2bClOnz4t0tPTRUREhPDy8hLNmzcXx48fV9hG+j5qIiIiQkgkEjF37lyVZdT5fLi6uor+/fuL27dvi4yMDBEZGSm8vb1F06ZNRUBAgEbHnTt3rpBIJGLSpEli//79IjExUTx8+FC4uroKe3t78ezZM7XPPfdn5PPPPxfh4eEiLi5OrFixQkgkEvHDDz8obLNw4UIhkUjEihUrRFxcnEhOThY//fST6N27d4GvVW7Pnz8XLVu2FB4eHuLRo0ciMzNT3L9/XwwfPlyhrjExMaJbt27CyclJXLx4UWRmZorQ0FAxaNAg0bp1a/HgwQOl57Vhw4Z863D69GkhkUjEypUr1aozUX6YQcwgZhAzKPd5MYOoNDGDmEHMIGZQ7vPS5QzikHREREQk8/jxYwghlPZIy6tz587o06cPjIyM8M4772DNmjWwsLDAmjVr8OLFC6Xb2NnZwc3NDaampmjRogXGjh0La2trZGZmYtasWdDT04Ovry8aN24MQ0NDtG3bFsuXL0d4eDi8vb2V7jM6Ohpr1qxBvXr1UKVKFXTt2hVffPEFIiMj8d1338nKxcTEYNGiRahbty7WrFkDKysrVK1aFT169MDs2bNx584dbNiwQekx7t27h++++w6NGzeGsbExxo8fXyzjms+dOxcJCQn47rvvYGdnB0NDQ9jZ2WHDhg149eoV5syZo3S7hw8fYvbs2bCzs4OxsTH69euHdu3a4cKFC7LhEgry7bff4u+//8acOXPQvXt3VK1aFdbW1rL3ccGCBXj58mWRz1ETqj4fANCoUSN8/fXXsLe3R5UqVWBlZYVFixahadOmWL9+faGOV69ePQwePBimpqZ4//338emnnyIjIwOnT5/WeF+hoaH45ptvUK9ePZibm2P27NmoXr06/vjjD7lywcHB2L9/P1q1aoX58+fD3NwcxsbGGDNmDJo2barRMc+cOYOUlBSMGTMGjRo1gqGhIZo2bSrrSZibt7c3/v33X8yaNQsdOnSAoaEhJBIJ1qxZg+TkZHz11VcanzMA2bXi0aNHhdqeKDdmEDOIGcQM0gQziIoTM4gZxAxiBmmiImcQG4yIiIhIJiYmBgBgampaYNnevXvL/dvQ0BBdu3bF69evcfz4caXb9OrVS+7fM2bMgKOjIwICAhAbGwtnZ2fUrFlTroyzszNq1KiBM2fOIDY2VmGfHTt2VBg7Wlq3o0ePIicnBwDg5+eH9PR0dO/eHYaGhnLlXV1doaenh/379+PNmzdKj5F7vOrmzZtj0aJFSs9RXbdv38a9e/fQvHlzNG7cWG5d48aN0axZM/z999+4c+eOwrZ169bFBx98oLCNEALh4eEFHvvNmzc4cOAA9PT0lL6P3bt3R1paGg4fPlyIMys8VZ8PANiwYQPs7OwUtnn//ffx8OFDpKSkaHw8FxcXuX9L34d///1X431JHz6kKleujAYNGijsy8/PD4Di3w8A9O3bV6Nj6unpAXj7wPT69WvZ8vfeew9nzpyR/Ts2Nhb+/v4wNDREv3795PZRv3592Nra4tatW3j69KlGxwcg+9uTXjuIioIZxAxiBjGDNMEMouLEDGIGMYOYQZqoyBnEBiMiIiKSSU9PBwAYGBgUWDb3uNJSDRs2BADcv39f7W0AICQkBMDb3lN56enpoWHDhhBC4O7duwrr3333XYVl5ubmMDMzQ0pKCiIiIgAAf//9t8pjmJiYoHbt2khJScGTJ08U1tetW1dpvYtCes7S1ywvaT2l5XJT1vOxWrVqAICMjIwCj/348WOkpqaiTp06Sidqze/YJUnV5wMA4uLi8M0338DV1RUODg6wsbGBjY0Njhw5AgBITEzU+Hh5X0dNXsOC9iXdn/RvSkr6t6Hsfc/v/JXp3bs36tSpg0OHDqFbt25Ys2aN7D2rX7++rNzff/8NIQSaNGmi8CVB7uNK/0Y0Id1f3vMkKgxmEDOooGOXJGYQM4h0GzOIGVTQsUsSM4gZVJ5ULrgIERER6Qrp5K7Z2dkFls3d00xKOlmqql5OVatWVbo8OTlZbntV+01KSlJYJ725VbZNYmKibN8FHUO6H2XHUFXvopDWJ7/6a1IfaS8rIUSxHVtarrSoep3j4+Ph5uaGxMREfP311+jYsaNs8t958+bh8OHDap13XlWqVJH7tyavYV75vSe5Sf82lH0Olf1N5adWrVo4cuQItm/fjsOHD2P79u3Yvn07JBIJZs2ahU6dOgH47328d++e3ETJeRVm6A3ptaJSpUoab0uUFzOIGZT72Mwg9TGDmEFUdMwgZlDuYzOD1McMqngZxAYjIiIikjE2NgYAZGVlFVg2NTVV4cZO2rtGuh91SXt3qeqdI11uZmamsC4tLS3fbaT7LugY0v0oO0ZJkA53UVD91RkWQ5uOXRj79+9HdHQ0xowZozCUgLbJ73OYmpqq8f5q1aqFefPmYdasWbh69SoOHjyIU6dOYfLkydizZw8++ugj2fvYsmVL7N27t2gnkIe0F6KyHppEmmIGMYNK+tiFwQxSjRlEFQkziBlU0scuDGaQasygksMh6YiIiEimXr16AN72ZCrI8+fPFZY9fvwYwNuxrTVhb28PQPmEkTk5OXjy5An09fVha2ursP7Zs2cKy+Li4pCYmAgTExPZOeV3jKSkJLx8+RImJiYqh0YobtJxqKWvWV7SekrrXZwaNWoEY2NjxMbGKu09V5zHVta7TFNRUVEA5IcXkCrMsAllSfq3oex9V/Y3lZ9Hjx4hLCwMwNtesR06dMC3336L6dOnQwghG7/bzs4O+vr6stcxr7S0NFy8eBGvXr2SLVP3fZNuI/07IyoKZhAzqLiPzQySxwwiUo0ZxAwq7mMzg+Qxg7QHG4yIiIhIpn79+jAxMUFkZGSBZfNO6JqVlYWAgAAYGhrC1dVVo+O6uLjA0tISly9flrtZA4DLly8jISEB3bp1Q61atRS2vXjxosLN/okTJwAA/fv3h77+29udAQMGoFq1avD391foOXjixAkIITB48OBC/aTczMwMmZmZsn/7+Phg2bJl+W5jb28PW1tb3L9/X+Hh7dGjR3jw4AFsbW2VTnBaVJUqVcKQIUMghFD6Pvr7+6NatWro379/kY8l7amY+/UZOXKkbNJTdUjHlg4NDZVb/vr1a6WT4ZZnAwYMAPDfZzS3o0eParSvEydOYOPGjQrL33//fQD/DQ9Rq1YtdO/eHdHR0bhy5YpC+d9++w0zZsyQG9db2htP+r5lZmaiT58+uHr1qty20muFsi8xiDTFDGIGMYNKFjOISDVmEDOIGVSymEHagw1GREREJFOpUiU4Ozvj+fPniIuLy7fs/fv3cezYMWRkZODFixeYNWsWYmJiMGvWLFhaWmp0XENDQ6xduxYA4OXlhUePHiErKwtXr17FggUL8N5772Hx4sVKt/3ggw8wZ84cREREICsrC2fPnsW3336L9957D15eXrJytWvXxvLly2V1jYqKQmZmJs6cOYPVq1fD3t4e06dP16jeUra2toiLi8ODBw/w7NkzHDt2TK0hHVatWoWaNWvis88+Q0hICLKyshASEoLPPvsMNWvWxKpVqwpVH3VMnz4d9vb2WL16Nc6cOYPMzEw8e/YMs2bNQnR0NJYvX47atWsX+TjGxsZo0KAB7t69i4SEBFy5cgV//vmnRhObDhw4EKampjh48CB+//13JCcn49mzZ5g/f77SnpXlWevWrTFs2DDcvHkTPj4+iI+PR0pKCnbu3KlWj9a8Tp8+jV27duHly5fIzMxESEgINm3ahOrVq+OTTz6RlVu8eDEaNGiAOXPm4MyZM0hMTER8fDx+/vlnrF+/HgsWLJAbWqV+/fowNTXFrVu3kJqaiqNHj+Lx48ewsrKSO750gtiOHTsW8hUh+g8ziBnEDCpZzCAi1ZhBzCBmUMliBmkPPVGY2ayIiIiowgoODoa7uzsWLlwId3d3hfXu7u4IDg7GjRs3sG7dOpw5cwYJCQlo2LAhJkyYINcb69ChQ5g/f77CPgICAmBtba2wPCwsDJs2bUJQUBCSk5NhYWGBbt26YerUqbLJPaWuXbsGDw8PeHp6wt7eHps2bUJoaCiqVKmCTp06Yfbs2bCwsFA4xq1bt7Bt2zbcvHkTaWlpsLa2Rp8+fTB+/Hi5CTi7dOmi8NN1Nzc3+Pj4KOwzOjoaixcvxo0bN2QPm0uXLsXdu3fh4eGhUD53D7Hnz59j06ZNuHjxIuLj41GzZk107NgRnp6ecg8T0klNc1u5ciUcHR3h4uIit9zKygrnzp1TOG5e6enp2LFjB44dO4bIyEhUq1YNDg4OmDJlChwcHGTlfH19lfbgWrlyJQYOHFjgcW7evIlly5bh0aNHMDMzw9ChQzFt2jSNPh9Pnz7FunXrcPPmTSQkJMDa2hp9+/bF48ePcezYMQCAo6Mj9uzZo/S9W7lyJaysrBTeD+k20s91brt370ZwcLDCued3nICAAAQHByucV+7PTk5ODnbt2oW9e/fi2bNnsLCwQP/+/dGnTx/07t0bQ4YMwddff13Qy4qYmBj4+fnh3LlziIyMRGJiIiwsLODo6IhJkyYpDCuSlJSEbdu24cyZM3j+/Dlq1KgBGxsbjB8/Hu3atVPYf0BAANauXYvIyEjUqVMHU6ZMweDBg2Xrs7Ky0KVLFzRs2BB79uwpsL5E6mAGvcUMYgYxg5hBVPqYQW8xg5hBzCDdziA2GBEREZGCadOmISQkBP7+/qhSpYrcOukNZd6fxZe23A9KuXvQEWkr6ZcUXl5e8PT0LOvqFGjPnj1YuXIl9u/fXyGHYqCywwwiKn3MIKK3mEFEpY8ZVL5wSDoiIiJSsGLFCpiammLGjBl4/fp1WVeHqEIZPXo0Hjx4oLD8/PnzAICPP/64dCtUCEFBQVi3bh0WLVpUIR+SqGwxg4hKDjOIKH/MIKKSwwzSDmwwIiIiIgVmZmb49ddfUalSJfz+++9lXR2iCiUiIgJffvklQkJCkJmZiejoaOzatQt79uzB8OHDteLBY9myZfDx8cHw4cPLuipUATGDiEoOM4gof8wgopLDDNIOHJKOiIiI8pWeng4jIyOl4zdLxzAubTY2NgrLdu/eDScnp1KvC5GmTp06hePHj+PevXt4+fIl9PT00KRJEwwZMgSDBw+Gnp5eWVexQNLrAlFJYwYRFS9mEJH6mEFExYsZpB3YYERERERERERERERERKTjOCQdERERERERERERERGRjmODERERERERERERERERkY5jgxEREREREREREREREZGOY4MRERERERERERERERGRjmODERERERERERERERERkY5jgxEREREREREREREREZGOY4MRERERERERERERERGRjmODERERERERERERERERkY5jgxEREREREREREREREZGOY4MRERERERERERERERGRjmODERERERERERERERERkY5jgxEREREREREREREREZGOY4MRERERERERERERERGRjmODERERERERERERERERkY5jgxEREREREREREREREZGOY4MRERERERERERERERGRjmODERERERERERERERERkY5jgxEREREREREREREREZGOY4MRERERERERERERERGRjmODERERERERERERERERkY5jgxEREREREREREREREZGOY4MRERERERERERERERGRjmODERERERERERERERERkY5jgxEREREREREREREREZGOY4MRERERERERERERERGRjmODERERERERERERERERkY5jgxEREREREREREREREZGOY4MRERERERERERERERGRjmODERERERERERERERERkY5jgxEREREREREREREREZGOY4MRERERERERERERERGRjmODERERERERERERERERkY5jgxEREREREREREREREZGOY4MRERERERERERERERGRjmODERERERERERERERERkY5jgxEREREREREREREREZGOY4MRERERERERERERERGRjmODERERERERERERERERkY5jgxEREREREREREREREZGOY4MRERERERERERERERGRjmODERERERERERERERERkY5jgxEREREREREREREREZGOY4MRERERERERERERERGRjmODERERERERERERERERkY5jgxEREREREREREREREZGOY4MRERERERERERERERGRjmODERERERERERERERERkY5jgxEREREREREREREREZGOY4MRERERERERERERERGRjmODERERERERERERERERkY5jgxEREREREREREREREZGOY4MRERERERERERERERGRjmODERERERERERERERERkY5jgxEREREREREREREREZGOY4MRERERERERERERERGRjmODERERERERERERERERkY5jgxEREREREREREREREZGOY4MRERERERERERERERGRjmODERERERERERERERERkY5jgxEREREREREREREREZGOY4MRERERERERERERERGRjmODERERERERERERERERkY5jgxEREREREREREREREZGOY4MRERERERERERERERGRjmODERERERERERERERERkY5jgxEREREREREREREREZGOY4MRERERERERERERERGRjmODERERERERERERERERkY5jgxEREREREREREREREZGOY4MRERERERERERERERGRjmODERERERERERERERERkY5jgxEREREREREREREREZGOY4MRERERERERERERERGRjmODERERERERERERERERkY5jgxEREREREREREREREZGOY4MRERERERERERERERGRjmODERERERERERERERERkY5jgxEREREREREREREREZGOY4MRERERERERERERERGRjmODERERERERERERERERkY5jgxEREREREREREREREZGOY4MRERERERERkZZ5+vQpbty4UdbVKFZ+fn7Izs4u62oQEZEamENEFVPlsq4AEREREREREanv2LFjWLJkCbZu3ap0/fPnz7F7925cunQJUVFRyMnJgaWlJZycnDBy5Eg0bdo03/2/fv0ahw4dwsmTJ/HgwQOkpKTAzMwMzZs3h6urK/r16wd9ffn+p9euXYOHh4fCvvT19WFiYgJLS0u0bNkSbm5uaNGihdLjnjhxAgcPHoSvry9q1KhR4Oug6pgBAQGwtraWWzZv3jwcPnxY9m83Nzf4+Phg4sSJePToEQ4cOABzc/MCj6mKr68vNm7cqLC8cuXKMDU1Rf369eHk5IQhQ4bAysqq0MchIioPmEP5H5M5RFpNEBEREREREZFWOH/+vGjWrJk4d+6c0vWHDx8WdnZ2YvLkySI4OFgkJyeLtLQ0cfv2bTFnzhzRtGlTsX79epGTk6N0+/DwcNGnTx/RqVMnceDAAREdHS0yMzNFZGSk2Llzp/joo4/EoEGDRExMjNLtDx48KCQSiZg7d64QQog3b96I2NhY4e/vL8aOHSskEonw9PQUiYmJCttmZGSI4cOHi+HDh4vXr1+r/ZosWrRISCQS4eXllW+5+/fvC1tbW7lj9+zZU9jb24uIiAi1j5efuXPnColEIg4ePCiEECIzM1OEh4eL/fv3i549e4rmzZsLX19fkZ2dXSzHIyIqbcwhRcwhqkg4JB0RERERERGRFkhJScGCBQvQsWNHdO7cWWH9iRMnMHfuXPTr1w9bt27FRx99BGNjYxgZGcHe3h7ffPMNPv30U2zZsgW+vr4K28fHx2P06NFITk7G/v378cknn8DCwgKGhoawsrLC6NGjsWfPHoSFhWHMmDFIS0srsM6VKlVC7dq10bVrV/z444+YOXMmzpw5g3HjxiEjI0OubJUqVTB//nzcuHEDu3btUvt1cXNzAwD873//Q2Jiospyfn5+6Ny5M0xNTWXLDh8+jAsXLij0BC8uhoaGqFevHgYPHgw/Pz906tQJvr6+WL58eYkcj4ioJDGHlGMOUUXCBiMiIiIiIiIiLXDgwAHExsZi3LhxCutevXqFhQsXwszMDPPmzVO5j6lTp6JBgwbYsmULHjx4ILdu+fLliIqKwhdffAELCwul29vY2GD8+PEICwtT+mVfQSZNmoSuXbsiJCRE6dA5dnZ2cHR0xI4dO5CVlaXWPh0cHNCgQQNkZWXhxIkTSstkZ2fj2LFjGDBggNzyqlWrqjXsUHGoUqUKVq1ahXfeeQc///wzLl68WCrHJSIqLswh5ZhDVJGwwYiIiIiIiIhIC/zxxx+oUqUKWrZsqbDu119/RWpqKlxcXGBsbKxyH5UrV0afPn2Qk5Mj13s6KioKJ06cgJGREXr06JFvPaRfdv32229q9e7Oa+LEiQCAn3/+Genp6Qrr27Rpg7i4OFy5ckXtfUrrdOTIEaXrL1++jOzsbHTs2BHA23knbGxsZP9du3ZNVnb8+PGy5e7u7njy5AkmTpwIBwcHtGrVCp9//jni4+PVrltuxsbGGDFiBABg+/btsuU9e/aUHXPevHkICQnB2LFj0bJlS9lyIqKyxhwquE7MIdJ2bDAiIiIiIiIiKueSkpJw7949NGjQAJUrV1ZYf+nSJQCAvb19gfuSlpFuAwCBgYHIycmBRCJBlSpV8t3e2toatWrVQlpaGm7evKnJaciOb2xsjPT0dPz5558K699//30AQFBQkNr77N+/P/T09HDr1i08efJEYf2RI0fg6uoqe+2cnJwQGhoKT09PhbI7duxAaGgoACAhIQFLly7F9OnTcenSJXz11Vfw9/fH/Pnz1a5bXu3atQMA3Lx5E6mpqQCAU6dOISAgAADw9OlT+Pj4YObMmbh06RImTJhQ6GMRERUX5lD+mENUUbDBiIiIiIiIiKice/z4MYQQKofokX45Vbdu3QL3JS0TGxsr+6Lo6dOnam+fu5x0O03o6+vL5moIDw9XWC89x0ePHqm9z3fffRdOTk4A3s4RkVtKSgrOnj2rMAyQOh4+fIjZs2fDzs4OxsbG6NevH9q1a4cLFy4gISFB4/0BwHvvvQcAePPmDZ49e6aw/s6dO1i1ahVsbW1RvXp1uLu7o3fv3oU6FhFRcWEO5Y85RBUFG4yIiIiIiIiIyrmYmBgAkJsoO7eUlBQAb+dCKIiRkZHCdsnJyQBQYK9uKelxpNtrqlq1anLHzc3ExATAf+esLumk40ePHoUQQrb89OnTqFevHmxtbTWuZ926dfHBBx/ILWvcuDGEEEq/ZFSH9NwB5edvb28PKysruTqsX7++UMciIiouzKGCMYeoImCDEREREREREVE5J51jwcDAQOl66XwRGRkZau8L+O+LP+mXY5mZmWrVR3oc6XaakvYoV7a9oaGhQj3V0b17d1SrVg1RUVFyc0EcOXIE/fr1K1Q9lfWkl37Rps5rrYz03AHl569u73oiotLEHCoYc4gqAjYYEREREREREZVz0jkPsrOzla5v2LAhAODFixcF7ktapm7durJe3g0aNFB7+9zlGjVqpFb53LKzsxERESF33LzrAaBSpUoa7bdatWro2bMngP+GA3r+/Dlu3LiB/v37a1xPQHlPeT09PQCQ6z2uCenwSQYGBnI9uPM7JhFRWWMOFYw5RBUBG4yIiIiIiIiIyjlpz+2srCyl6zt06ADg7bwDBZGW6dSpk2yZs7Mz9PX18fDhwwJ7d0dGRiIuLg7GxsZo1aqVWvXP7datW0hLS0O1atWUbl+UXuPS+SFOnz6NtLQ0HDlyBI6OjrC0tNR4XyUlMDAQANCyZUu5YYGIiMoz5pB6mEOk7dhgRERERERERFTO1atXDwAQHx+vdP3w4cNRvXp1nDt3Lt/5HN68eYNjx46hUqVKGDdunGy5lZUVevfujfT0dJw+fTrfukh7TY8ePVo2bI8mvv/+ewDAqFGjlPZifvXqFYD/zlkTjo6OsLKyQlpaGs6cOYMjR44Uuld3SUhOTsbevXsBABMnTizj2hARqY85pB7mEGk7NhgRERERERERlXP169eHiYkJIiMjla43NzfHsmXLkJCQAB8fH5X72bJlC54+fYpZs2YpDMOzYMECWFlZYd26dSon+n748CF27NgBOzs7TJ48WePz2LhxIy5cuAB7e3tMmzZNaRnpORZmcnA9PT3ZF3MbNmzAixcv0L17d433UxIyMjIwc+ZMxMbGYtSoUbLe+ERE2oA5pB7mEGk7NhgRERERERERlXOVKlWCs7Mznj9/jri4OKVlevfuDR8fH/zxxx+YMmUK/vzzT6SmpiIjIwMhISGYN28etmzZgpkzZ8r16pYyNzfHrl27YGJigiFDhuDQoUOIjY3F69ev8ezZM+zevRujRo2Cra0tvv/+e1SpUqXAemdnZ+Ply5c4e/YsxowZA19fX3Tr1g07duxQOUfC33//DQDo2LGjBq/Qf6TDAUVFRckmIC8rWVlZiIiIwO+//47+/fsjMDAQnp6eWLBgQZnViYioMJhD6mMOkTbTE4WdHYuIiIiIiIiISk1wcDDc3d2xcOFCuLu7qyz3/Plz7Nq1C4GBgYiKikJOTg7q1q2LNm3awMPDA40bN873OK9fv8ahQ4dw4sQJhIaGIiUlBWZmZrCzs0O/fv3Qq1cv2YTbUteuXYOHh4fCvvT09GBsbIx33nkHDg4OcHNzg4ODg8pjZ2VloUuXLmjYsCH27NlTwCui2vDhw3Hz5k3s3LkTbdu2VVivqr6hoaGYN28eDh8+LLd85cqVcHR0hIuLi9xyKysrnDt3Dr6+vti4caPC/ipXrgwTExM0aNAATk5OGDx4MKytrRXKubu7Izg4WG6Zo6NjkV4DIqLixhxSH3OItBUbjIiIiIiIiIi0xLRp0xASEgJ/f3+1elZrmz179mDlypXYv39/oYYCIiKiksUcIqrYOCQdERERERERkZZYsWIFTE1NMWPGDLx+/bqsq1OsgoKCsG7dOixatIhf0hERlVPMIaKKjQ1GRERERERERFrCzMwMv/76KypVqoTff/+9rKtTrJYtWwYfHx8MHz68rKtCREQqMIeIKjYOSUdERERERESkhdLT02FkZFTW1Sg2Fe18iIgquop23a5o50NUGGwwIiIiIiIiIiIiIiIi0nEcko6IiIiIiIiIiIiIiEjHscGINPL06VPcuHGj1I7n7++PpKSkUjseEREVDvOBiIiIiIiIiEi7VS7rCpD2OHbsGJYsWYKtW7fKltnY2CiUc3R0xJ49e1SuB4Bq1aqhdu3asLOzQ7du3dC9e3dUqlRJody///6L5cuXY8uWLWjWrFmh6p2Wloa9e/ciICAAjx49QmpqKoyNjdGoUSO0atUKnTp1QqtWraCnp6dQZ09PT3h5eRXquOVFfHw8Bg0ahMaNG2P79u1lXR213Lp1C/v27cP169cRGxsLfX19WFpaonnz5mjbti26du0Kc3NzuW2EEDhy5AgOHTqE0NBQpKamokaNGrCwsECzZs3QqlUrfPzxxwrbEVHRaWM+/Pnnn9i9ezf++usvxMfHo3r16qhTp44sGzp06IBGjRppvF8q2F9//YWhQ4fK/r179244OTmV2vHd3d0RHBysdJ2BgQHeffdddO7cGVOmTEHNmjU13v+2bduwfft2bNy4EW3atClUHQ8dOoSoqCiV9yBfffUVzpw5g59//hmNGzcu1DGIKrK8GTN79mxMmDChwO0GDhyIu3fvyv5dEZ4FtNnZs2dx//59jB49Gqampmptc+3aNXh4eCgsL8/vZVhYGNzd3dG9e3csXbq0VI7p6+sLKysrDBw4UGFdVlYWhgwZAgDYv38/DA0NS6VORFR8unTpgqioKKXrqlSpgnr16qFnz56YMGGCbL6e3Nu4ubnBx8en1OpbHh0/fhxffPGF7N8BAQGwtrbOd5u8GdS8eXPs27dP6XVU2TPJypUrlV6XiUqdIFLD+fPnRbNmzcS5c+cU1kVERAiJRCI6d+6sdNu863NyckRCQoK4fv26WLRokWjevLno06ePCAsLU7q9j4+PaNu2rYiKitK43rdv3xbOzs6iT58+wt/fX7x69UqkpaWJsLAwsXnzZtGqVSshkUiEu7u73HZBQUFCIpGIDRs2aHzM8iYiIkLY29uLnj17lnVVCvT69WuxaNEi8cEHH4hvvvlGhIWFiczMTBEdHS0CAwOFh4eHkEgkonnz5uLKlSty286ePVs0bdpU+Pr6ioiICJGZmSlevHgh/Pz8RMeOHYVEIhEHDx4sozMjqri0MR/2798vbGxsxOeffy7u378v0tLSRFxcnLhy5YoYOnSokEgkYu7cuRrtkzS3YcMGIZFIRFBQUJkcv3PnzkIikYiIiAghhBDZ2dkiIiJC+Pj4yD6XMTExGu938eLFQiKRiOPHjxe6bqNGjRISiUTl+vHjx4tmzZqJGzduFPoYRBWdNGMkEolo3769yMzMzLf8hQsXZOUrwjNARTB37ly567QmDh48qDV5fuPGDdGsWTMxfvz4UjumRCIRo0aNUrouNTVVODk5CScnJ5GamlpqdSKi4ifNNanXr1+Lx48fi9mzZwuJRCLc3NxEWlqabL00O7Xh2llaCpNF0gySSCTC29s737KjRo3ifQeVOxySjgqUkpKCBQsWoGPHjujcuXOR96enpwczMzO0bt0a3t7e+OGHHxAeHo4RI0bgyZMnCuWnT58OABr3tgoLC8Po0aNRu3Zt/Pbbb+jatStq1KgBIyMjNG7cGFOnTsW2bdtgYGCAxMTEIp9XeWVtbY0LFy7g8OHDZV2VAi1atAj79u3DypUrMWfOHDRu3BiGhoawsLBA+/bt8dNPP6Fz58548+YNUlNTZdtdv34dR44cweDBg+Hp6Qlra2sYGhrC0tIS/fv3h6+vbxmeFVHFpY35kJaWhhUrVqBhw4ZYs2YNmjZtCiMjI5ibm6Nt27bYvn076tSpU+RzIe2jr68Pa2trzJ07F506dUJUVBQ2b96s8X6++uorXLx4Eb179y6BWr61ZcsWXLp0CS1btiyxYxBVFFZWVoiNjcWBAwfyLbdt2zZYWVmVUq2I/tOyZUtcunQJW7ZsKeuqAHj7a++zZ8/i7NmzqFatWllXh4iKUeXKldGwYUP4+PhAIpHg7t27+OWXX8q6WhWSkZERDAwM8PPPP8Pf37+sq0OkETYYUYEOHDiA2NhYjBs3rkT237ZtW3zxxRdISEjA3LlzFdYbGRlhxIgROH/+PB48eKD2fufOnYu0tDQsWrQI1atXV1qmVatW6NmzZ6Hrri1q1KiBqlWrlnU18nX+/HkcOnQI7du3R9++fZWW0dfXx/z58xWW//XXXwBUD3Flb28POzu7cv8aEGkbbcyHsLAwpKWl4f3331c61J2JiQl69eoFY2PjIteftJd0KLk///xT422lw6iWJAMDA9SqVatEj0FUUUgzaseOHXjz5o3SMjdu3EBERAT69OlTmlUjkqlVqxYMDAzKuhoyxsbGvBciqsD09fXh6OgIoHD3u1Qwc3NzzJo1CwCwYMEClUMEEpVHbDCiAv3xxx+oUqVKifZiHTZsGExNTXH79m2l8wpIv7g5cuSIWvsLDg7G33//jXr16hVYbw8PD5UNFMq8efMGu3btQv/+/WFvb4/WrVtj7NixuHLlikLZFy9eYOPGjRgyZAicnJxgZ2eH3r17Y+vWrXj9+rVc2e+//x42Njay/1JTU7Fs2TJ06NABzZo1g42NDbp06SJXxsbGBpGRkQDejpWae/m8efPg6+srt0yZW7duYfLkyXB0dISdnR1cXV2xdetWZGVlycrk3Y+NjQ2uXbsmW79gwQK0adMG2dnZsmXu7u4FHju3HTt2AAD69euXb7n69evDy8sL9erVky2TNgjeunVL5XYHDhyQ6+29ePFiWd26dOmCly9fYvr06WjZsiXatWuHZcuWISsrC0IIbNy4ER06dIC9vT3Gjh2L8PDwAs+HSBdoYz5Irxf37t2Tu87ltmDBAixcuFBhubrX/7zX85SUFCxevBht2rSBvb09RowYITdHRm6vXr3CypUr0aVLF9ja2qJdu3aYMWMGwsLClJZ/9OgRpkyZgpYtW8LBwQHDhg3DhQsXMG/ePLlrHACMHz9etszd3R3h4eGYNm0aHB0d5TIlOzsbfn5+mDp1qqwezs7OmDlzpsL1L2/2XLp0CevXr4eLiwtsbW3RuXNnfPvttypfa+DtHHQ//vijbJuePXvi2LFjSstqksHFKW9mxMXFYe7cuWjbti2aNm0qy8Xcr0XeX7dmZGRg27ZtcHV1hYODA5ydneHh4YE9e/YgISEBwNu5i2xsbGSf9dz7O3ToECIjIxWWqapjbGwsZsyYgY8++ggtWrTAhAkTEBERoXBuISEh+Prrr9G3b184ODjIPkcnT54suReUqBR16tQJEokEkZGRKq8tW7duxdixY/P9wl6Tv5W819snT55g/PjxaNGiBTp16oSNGzdCCIGsrCwsW7YMbdq0gYODA7y8vBAfHy+3r549e8rd39++fRvDhg3Dhx9+iG7dumHv3r0AgMTERMyaNQutW7fGRx99hC+//BLp6elKz+XmzZty9/+9evXCxo0bFcrb2dnJXdMuXLggu/727dsXp0+fBgBERUVhypQpcHBwQNu2bbFq1Sq55wIAhcoW6QgJLi4uKq+tmirstfLFixdYvHgxXFxcYG9vDxcXF3h5eeHEiROyhsi82fv48WN8+umncHR0hL29PYYMGYILFy7I7VdZXgNAbGyswvX+6NGjGDBgAOzt7WWfLWnd1H3mlB4PePvMnPe5UppDeZ81c/vnn38wY8YMtGvXDra2tnBxcYGPj48sy6SUfXZHjhyJDz/8EE5OTli8eDEyMjI0fxOJqNSlp6dj7969GDduHDp27AhbW1t8/PHHWLx4MeLi4uTK/vXXX3LXkaCgoALv9Y8fPy63zdOnT7FmzRq0b98erVq1wtSpU2UNLqdPn4arqyvs7OzQt29fXLp0SWWdN27ciJ49e8LOzg5OTk749NNP8ffffystn/u5qmXLlhgzZgzu3LlTpNdtzJgx6NatGxITEzFz5kyVHVdyy/tMkfs6PHnyZLnram6a5KyyjPHz80Pv3r1ha2uLLl26YOfOnSrr6Ofnh6FDh8LBwQGtW7dG3759sWjRIty4cUOhrDrfOVI5VMZD4lE5l5iYKGxsbETfvn1VltF0jgpVJk+eLCQSiVizZo3CulevXsnGV1XH2rVrhUQiEZ9//rla5fNSNYdRdna2mDJlimjatKnYvXu3SElJES9evBDz588XNjY24vDhw3Llf/jhB/HBBx+I33//XSQlJYmEhARx4sQJ8dFHHwkvLy+lx5bOWzBlyhRx6NAhkZiYKG7duiXs7OzEwYMHxZUrV1SeW3Z2tujUqZO4ePGi0n3mdezYMdGsWTMxYcIEERERIdLT08XRo0eFvb29GDt2rMjOzpaVDQ0NFRKJREyePFnhmG3bthUSiURcv35dbt3evXvFpEmTlJ5nbqmpqeKDDz4QEolE5Vwl+Xnw4IGwsbGRjQ+ryXwmnTt3Fu3btxeTJ08WN2/eFMnJyWLv3r1CIpGIJUuWiM2bN4s//vhDJCcni6CgING6dWvRp08fjetIVNFoaz5kZWWJ9u3bC4lEIsaMGSNu376t1naaXv+F+O/a6+XlJc6cOSOSk5PFzZs3hbOzs2jXrp3CvADR0dHCxcVFdOjQQVy5ckVkZmaKsLAwMWLECNGiRQsRHBwsV/6ff/4RrVu3Fh9//LG4fv26yMzMFPfv3xeDBg0S3bt3VznWtkQiEX369BFDhw4V165dEykpKWLPnj2y8nFxcUIikYgvvvhChIeHi4yMDHHv3j3h7u4uHB0dlV5jpfMR9ejRQ6xbt07ExcWJpKQksWXLFiGRSMTUqVNVbjNu3DixdetWERcXJyIiIoSHh4ewsbFReG8K8x7kJ+8cRrlNnDhRSCQSsXTpUoVt2rdvL0aNGiXOnj0rkpOThb+/v9xcTKruITw9PYWDg4P43//+J1JTU8XLly+Fr6+v0jn2CprDSDouurK5+aR1HDdunLh69apITk4W58+fFw4ODkrza9KkSeLjjz8WQUFBIj09XURHR4vNmzcLiUQifv75Z9UvIFE5J82YiIgI8ccffwiJRCJ69eolcnJy5MrdvXtXODo6ipSUFNl1SdlcAoX5W5FebydOnChCQ0NFYmKi+Pbbb4VEIhHbt28XX3/9tbhw4YJITk4Wp0+fFh988IHCvXbucxk6dKjw9PQU//77r4iLixPz58+XzZk2e/Zs2b3sL7/8onLehD/++EM0a9ZMeHl5icjISJGeni5OnTolWrZsKQYNGiQ3l4UQ/13TPDw8xPz588Xz58/FixcvxPjx40XTpk1FUFCQ+Oyzz0RoaKhISEgQ69atExKJROzYsUNuP4XJlpKcw0iTa2Vqaqr4+OOPRZ8+fcTdu3dFRkaGePr0qfj000+V1q9z587io48+En369BEXLlwQmZmZ4vHjx2LkyJGiadOm4uTJk0rro+x+SHoeY8eOFbNnzxbh4eEiPj5euLu7y+YgKswzZ35zGAmh+rW/evWq+PDDD8XIkSNl881euXJFdOjQQXTt2lXExsbKlc/92R0/frwICwsTiYmJYseOHUpzloiKV945jKSys7NFnz59hEQiET/88INsuao5jO7cuSMkEolYvny5ePHihUhLSxN//vmn6Nevn+jatatITk5WOIaye/3w8HAxatQopff6Qvx37ZkyZYrse5hr166Jjz76SLi6uoqLFy+KdevWiZcvX4onT56IAQMGCDs7O/H8+XO5/aSlpYlBgwYJe3t7cezYMZGRkSHCw8PFpEmThK2trcKc2Kqeq0aOHCkGDx5cqDmMpNf0pKQk4eLiIiQSiVi9erVCWVVzGKm6Dqt6jwqTs9KMGTNmjPj666/FixcvRHR0tPj888+FRCJRmldLly4VEolEbN68Wbx69UokJiaKo0ePihYtWohWrVrJldXkO0cqX/gLI8rX48ePIYSAhYVFiR9L+ouRf//9V2FdjRo1YGhoKKtPQaRzXdStW7dY6/jLL7/g3Llz6Nu3L9zd3VG9enVYWlri66+/xrvvvgtvb2+5nlW1atXCxIkTMWjQIJiYmMDMzAy9evXCtGnTcPr0aZU9G4C3Pfrc3NxgamqKFi1aYOzYsbC2tkabNm1gZWWFs2fPKsy9dOXKFQgh0L59+wLPJTY2FgsXLkTVqlWxdu1aWFtbo2rVqujTpw/GjRuHy5cvy431LpFI8N577+HKlStIS0uTLb916xaSk5MBAAEBAXLHCAgIgIuLS4F1iYiIkPV+K8x7ZmNjg7FjxwIAfv75Z3Tp0gXDhg3Dli1b1BqmKjY2VtY7wtjYGMOGDYNEIsHhw4eRkZGBvn37wtjYGE5OTujbty8ePnyo0fCIRBWRtuaDgYEBlixZAgMDA1y5cgWDBw9Gjx494OPjg6tXryr0iJbS9Pqfm4ODA7p16wZjY2M4ODjAw8MDL1++VPhVzNKlSxEREYEVK1agbdu2MDQ0ROPGjbFx40YAwMyZM+V6Yi1duhRJSUlYvnw5WrduDUNDQzRt2hTffPON0tcqt4cPH2LWrFlwdHRE9erVMWTIEPTu3RvVqlVD5cqV8eGHH2LlypWoV68eqlSpgmbNmmHDhg1ISkqS/SJUmdq1a2PGjBkwNzeHiYkJpkyZgh49eiAgIAAnTpxQuo2BgQEmT54Mc3NzWFtbY9asWRBC4OjRo8X2HqhDCIGoqCisWrUKFy5cgJWVFaZOnapQLjY2FoMGDYKLiwuMjY3RtWtXDBkyJN8h4pKSkuDv7w9nZ2d8/PHHqFatGmrVqgVPT0+0atWq0HVWRZprbdq0gbGxMTp16oR+/frh4cOHuH//vlzZevXqYeHChXByckLVqlVhYWGBqVOnomvXrvjuu+8UeqcTaaPevXujXr16ePTokcI8Alu3bsWoUaNUDmEtVdi/Fen1ViKRwNTUFNOmTUONGjWwbds2NGzYEB07doSxsTG6d++O9u3b48KFCyqvZX///Te8vb3x3nvvyYa60dPTw5IlS9CrVy/ZveyIESPw/vvvK1xHY2JisGjRItStWxdr1qyBlZUVqlatih49emD27Nm4c+cONmzYoPTYYWFh8Pb2Rt26dWFpaYkZM2YgJycHXl5e+PTTTyGRSGBmZgZPT0+Ymprijz/+kNu+KNlSUtS9Vl69ehXPnj3D0KFD0bx5c1SpUgX169fHmjVrVP4qLTExEWPGjEHHjh1haGiIhg0b4rvvvoOhoSGWLFmi8tdfqkRFReGbb75BvXr1ULNmTUyaNAlOTk4AivbMqYnMzEzZZ87X11c232zbtm2xfPlyhIeHw9vbW+m2f//9N3x8fNC4cWOYmppi3LhxaNSokcJnlIhKVnZ2Np48eYL58+fj4cOHaN68OUaMGFHgdkZGRujYsSO+/PJLWFpawsjICK1atcI333yD8PBw7N+/X+W2ue/169Wrh9mzZyu918+tQYMGsu9hHB0d0a9fP/zzzz/48ccfMWPGDNSqVQsNGjTA5MmTkZmZKfvFq9R3332HO3fuYNy4cXB1dUWVKlVQr149rFmzBpUrV8aXX34p99yn6rnK29u7yL8yMjExkV3/f/jhB5W/iCqqouRsXFwcFi5cCEtLS1hYWGDBggUAoJDl586dwy+//II+ffpg6tSpqFGjBkxNTdGnTx94enrKldX0O0cqX9hgRPmKiYkBAJiampb4saQTaqakpChdb2JigvT0dFnjRH6k+6hSpUrxVRCQDfkwePBgueWVKlVCz549kZqaijNnzsiWDxgwAJ999pnCfiQSCYC3w0Go0qtXL7l/z5gxA46OjtDT08OAAQOQlZWlELAHDx7EgAEDoK9f8J+2n58f0tLS0KNHD4X319XVFQDkhroB3g4HkZmZicDAQNmygIAAjBo1CtWqVZNrMEpNTUVwcDA6d+5cYF1yv+eFnWdo7ty52LZtm+w1unXrFr799lv0798f/fr1w7lz51Ruq6+vjw4dOsgta9CgAdLT09G2bVuF5cB/jZJEukpb8wEAunbtikOHDqFPnz6oWrUqnj59ip9++gljxoxBp06dsGPHDoWGI02v/7nlbThv3LgxAODp06eyZTExMQgICECNGjUUGv1r1qyJ9u3bIzo6GmfPngUAPHv2DMHBwahZs6bCdapRo0b44IMP8n0N6tSpg9atW8v+bWhoiPXr18Pc3BympqbYv38/DA0N5bapUaMGLC0tNcqu3MtUDRuY9/Vp2LAhAMUGwqK8B/mRDnXUtGlT9OjRA/7+/hg9ejQOHDiAOnXqKJTX09NTmP/w66+/RpMmTVQeQ19fH0II/PXXXwrjl/v6+qJ79+4a1zs/+vr6Cvmr7HMHAAsXLlTauUMikSAxMRGPHj0q1roRlYVKlSph/PjxAIBt27bJlj9+/BiXL1+WDe2Vn8L+rbz77ruye3/g7Rc6VlZWSEpKQseOHeXKNmjQADk5OSqHP27RogVq1qwp+7e5uTnMzMyQnJys9F42MTFRbog7Pz8/pKeno3v37grXeFdXV+jp6WH//v1Kh8xxdnZG5cqVZf+uX78+gLdDveY+PwMDA1hbWytca4qSLSVF3Wulnp4eAOB///ufXMc5IyMjnD59WmWHt9zDYQNvG3acnJzw6tUrhaHpCtKjRw9ZPYC374f0y7miPHNqIiAgALGxsXB2dpb7HErrU6NGDZw5cwaxsbEK29rb26N27dpyy5o0aYKkpCSFYRiJqPhJhx5r3rw5+vXrh7///hvTpk3Dr7/+CiMjowK3b9KkCbZv366wXJ3rTN7sbNSoEQDlnQGlOnXqJPdvaeY4ODjILZd+P5P7mv3mzRtZA1be5wYTExN07NgRz549Q1BQEICiP1ep44MPPsC8efMghMDcuXNlz9LFqSg5m3tIVOBtJ8AaNWqofB5TNudjr169MGDAANm/C/OdI5UflQsuQrpM2vOpNCbgTE1NBQCVk2tKL3rp6ekFfkFpYmIC4G0vqOKSkpIiexBs2rSpwvp33nkHwNveU0OGDAEA5OTk4OjRo/jtt9/w77//KoztmpSUpPJ40v0p4+bmhs2bN+PgwYMYNWoUgLe92AICAtTupRUSEgIAaNasmcI66UPPvXv3kJOTI2uAcnFxwU8//YSAgADZl1sBAQFYvXo1wsPDcfbsWYSFhaFJkya4dOkSmjZtqvTLtryk7xfwdo6Hgnp4qvLxxx/j448/RmxsLM6fP4+AgAAEBgYiNDQUU6dOxTfffCMXYFLm5uZyD8DAf/Oc5K2/9PPJ8bZJ12lrPkhJJBKsXbsWaWlpuHLlCgICAmRfhKxatQqPHj3CihUrABTu+p9b3l9hSRvAcl9H7t69CyEEGjZsKPeFkJT0wSokJAS9e/eW9Xxu0KCB0vLvvvtuvj2K88sYAAgNDcX333+P27dv48WLF3I95/PrlPDuu+8qLJM2AOX9ZYtU3tdHev3N3fu6qO9BfgICAmBtba12eXNzc407pBgbG2PQoEE4cOAAevXqhS5duqBXr17o2LFjvr9MKqyaNWsq/G0q+9wBb1/bPXv24OTJk3j27JlCw2t+9ypE2uSTTz7Bpk2b8PfffyMwMBDOzs7Yvn07Bg8ejBo1ahS4fWH/VpTdC0uvc3mvfwXdZ6raV+XKlRXuZaX7yn0tleaCNFNyMzExQe3atREbG4snT57g/fffz/fY0v0rq5OxsbHSX9AUNltKirrXyvbt20MikSAwMBAuLi5wdXVF9+7d0bp1a1hZWSndd40aNZR+CduwYUNcuHAB9+/fV+h8kJ/8RmEoyjOnJqTPj8o+P3p6emjYsCFu3bqFu3fv4uOPP5Zbr+wX6dLXWtNfWxGR5kJDQ4u8jz///BM//PADQkNDER0dLdfBLu/oN7mpc6+fV95s0eT7mcePHyM1NRVmZmZKn01yPze0b9++yM9V6ho5ciRu3LiB48ePY/bs2fjpp5+KPfsKm7OqrtF53yNpDkif73J799135eYBLsx3jlR+sMGI8iV98FA1RE9xkvYIUHbhyV2HSpUqFbgvaS+DFy9eFEvdgP++sAQg1ys7r5cvX8r+/1dffYX9+/dj4MCBWLVqFaysrKCvr49r167Bw8Mj3+GT8vulTb169fDRRx8hODgYDx48QNOmTXHs2DHY2dnJel4URPqQu3z5cixfvlxpmczMTKSkpMi+gG3ZsiVq1qyJ8+fPIzs7G0+fPkVaWhrs7OzQpUsXnD17FgEBAWjSpAkCAgIUeimoYm1tDQMDA7x+/RovXryQ9ewrrDp16mDw4MEYPHgwYmNjsWTJEpw9exZr1qxR2mCU3xd/qtapM/QVUUWmrfmQV7Vq1dC1a1d07doVmZmZ2L59O3x9fXHw4EFMmDABjRo1KtT1P7e813Ppg0ju64j0miz98iQv6ZdO0nLSX1upKl9Qw3t+GXPt2jWMHz8eVlZWWLFiBezs7GTHL+i6rqw+0mWqfgGm6vXJrajvQXEq7C9hly1bhlatWsm+cD558iRMTEwwYsQIeHp6KvQGLO46KvvcZWZmYvjw4fjnn3/w5ZdfwtXVVdaA5evri40bNzLvqMIwNDTEmDFjsHr1amzbtg2NGjXCqVOncOrUqQK3LcrfSnHeZ6oqn98xlGWNqt7k0uu1sgaGwhw7t6JkS0lR91pZpUoV7N27Fzt37sTvv/+OPXv2YM+ePbC2toaXl5fS5wtVOSw9Z1W/mtakrlJFeebUREGfH+lyZZ8fdV9rIiqf/vjjD8yZMwf29vbw9fWFRCKR3bva2Njku6069/p5aZo5yrIuMTEx37pJnxuK+lylCW9vb9y9exdBQUHYvHmzwjBuRVGUnM3vGp1bQTmgrKwm3zlS+cEGI8qXtLU+95wJJSEtLQ23bt0C8Pbn7MpIfy2kqod5bh07dsS2bdvUGms0LS0NGRkZMDMzy/fLRumvYPT09HDnzp0Cv9iJjo7G/v37UatWLXh7exd7L/xPPvkEwcHBOHDgABYuXIiDBw9i5MiRam8vPZ9ly5Yp/ExXlUqVKqFz5844dOgQ/vzzT9y+fRudO3eGnp4eOnfuDH19fQQEBGD8+PG4ePEiJk+erNZ+q1WrhlatWiEoKAghISH5NhgJIfDq1SsYGhrKPguxsbGIjY1F8+bNFcrXqVMH33zzDZycnBAbG4v4+HiYm5urVS8iUk1b8yEzMxN//fWXbPjK3KpUqQJPT09cuHABd+7cwcOHD9GoUSONr/+FIb1Jzj3UTW7S3l3SctI6qSqfu4FFU9u2bcPr168xZ84cODo6arStsvpIl+X+NammSuM9KGl6enoYOHAgBg4ciCdPnuDo0aP49ddfsW3bNsTFxal8kCpJZ86cwcOHD9GtWzd4eHiU+vGJStuwYcOwbds2BAcHY9asWXB1dYWlpWWB21WUvxXptVRVr27p9drMzKzYj12UbCkPjI2N4enpiWnTpuHGjRvw8/ODn58f5s6dCz09PfTv31+uvKoclr726tyzqKOknzlzK+jzI11eEp8fIipbmzZtghAC3t7eSn/tX55In5csLS1x8eLFAsuX5HNVXsbGxtiwYQOGDBmCzZs3y+aiU0ZVw5qqXyGXRs6amJjg1atXav0ytDDfOVL5wd98Ub6kE42X9LjCv/zyC1JSUtCiRQt89NFHCuuzs7ORlJSEOnXqqNWzt3Xr1nBwcEBkZCRu3LihspwQAoMGDUK/fv2UjtWdW7Vq1fD+++9DCIHnz58rLRMUFCTrCS+do8DKykrhxr04hjPr0aMHqlevjqNHjyIkJARPnjxROneEKh9++CEAIDIyUun6J0+e4Nq1awrLpePPBgQE4OzZs7J/m5ub48MPP8SdO3dw6tQpmJmZ5TufQ14TJ04EoHqOC6kTJ06gbdu2cmOdXrp0CV5eXiq3MTY2lvUK0cYvGYnKI23Nh9jYWHh4eKi8jgOQfXkovV5oev0vDFtbW+jr6+PJkydKe9pKh2Ozt7cHAFkDuaryz549K3RdpPkl/bVubgXll7LjPn78GACUNuqrqzTeg5KUnp4u98DasGFDTJ8+HQcOHEDlypUVJuotLdL3Wtmvkzn0KlVExsbGsg5Wt27dwoQJE9TarqL8rUgzRNl8S0lJSXj58iVMTExU/qK3KAqTLer0Qi8Nz549kw2to6enh9atW2PZsmWyhn5l1/CEhASlXz4WRybmVtLPnLnl9/nJycnBkydPoK+vD1tb22I9LhGVPVXX8PKYgdIOf7GxsUo7N+bk5ODSpUuyEYlK8rlKGRsbGyxcuBDZ2dmYOXMmEhISlJaT/poqb+NMdHS00vJFeYZTlzQHpFmWt147d+6UDYta2O8cqXxggxHlq379+jAxMVH5B14cLl26hA0bNqBGjRr45ptvlJaJjIyEEEKjm8+VK1fC1NQUy5YtU9lTYPfu3Xj06BE+/fRTtYZTGD58OADlE7OFhIRg9OjRskk+peOihoeHK1yci2PiUSMjI/Tu3RsJCQmYM2cOevbsqfIntMoMGDAA1apVw9GjRxUay7Kzs/H555/Dz89PYTtnZ2cYGRnh+PHjCAsLk5sUsEuXLhBCwMfHR+mkwPlxdnbG8OHDceXKFZXzMMXHx2PDhg2wsrLC0KFD5dZFRUXJHuTyCgkJQWJiIuzt7YutNx+RrtPmfACgcgiilJQU/PXXX6hSpQpatmwpW67J9b8wateujW7duiEhIQGBgYFy6169eoUrV67A0tJSNpxA3bp10bZtWyQkJODq1aty5Z88eYK7d+8Wui7S/Mo71vnTp08V5kXI68SJEwrLTp48CeDt/HtFUdLvQUmKi4vD1KlTFYYgsra2hpGRkUJjp7R3tvTXcz/99FO+HSMKS9V7DRTfJOlE5Y2HhwckEgmGDBmi9EsVZSrK34r0/t/f31/hS7QTJ05ACIHBgwcXaojXghQmW6S9xKXXwuPHjys8A5SGoKAgeHt7KyyXzvOkqsNK3kyMi4tDcHAwzM3NFeb4KazCPnOamZnJzff7xRdf4Pvvv8/3WC4uLrC0tMTly5fx6tUruXWXL19GQkICunXrViJz8xFR2VJ1Dc+vg3ZZqVSpEoYMGYKcnBylHZL9/f0xadIk2fdgJflcpcrgwYMxYMAAREdH4+HDh0rLSO9Rnjx5olB/ZYryDKcu6fPY8ePHFdb99ttv+P7772XPMYX9zpHKBzYYUb4qVaoEZ2dnPH/+vNguMMDbHmzXr1/HwoULMXnyZNSvXx+//PKLyoc26QW6U6dOah+jYcOG+Omnn5CQkIChQ4fi7NmzSExMRHp6Oh48eABvb2+sXLkSU6ZMwYgRI9Ta5/Dhw9G9e3fs2LEDO3bswIsXL5CSkoL//e9/8PLywsCBA2U94N955x306NFD1qATERGBlJQUHD58GLt27VL7PPIzcOBAAG9b9z/55BONtq1VqxZWrlyJ6OhoTJ06FQ8ePEB6ejrCwsLw+eefIykpCdOnT1fYrmrVqmjXrh1evnyJ9u3by/1iR9pIFBsbq3GDEQAsXLgQ7u7umD9/vmzS+aysLMTExODEiRMYMWIEMjMzsXPnToUGPiEEpk2bhoMHD+LZs2fIysrCixcvcPjwYUybNg3VqlXDokWLNK4TESmnzfkAAN9++y18fX3x5MkTZGRkID4+HoGBgRg/fjxiY2Mxd+5cuUnQNbn+F9bixYvx3nvvYcGCBbh69SqysrLw6NEjWUPB2rVr5a65ixYtgpmZGRYsWIA///wTWVlZePDgARYtWiTr/VUYo0ePhp6eHlatWoWrV68iLS0Nd+/exYwZMwrs7V2pUiWsX78er169QkpKCrZt24YzZ86gW7du6NGjR6HrBJTOe1CS3rx5g5kzZ+Kff/5BVlYWoqOjsXLlSiQnJysMcSVtAL1y5Qri4+Nx+PDhYh0/Xapbt26wsrLCpUuXsG3bNsTHx+Ply5f45ptvZENBElU05ubmOHr0KJYuXar2NhXlb6V27dpYvnw5Xrx4gVmzZiEqKgqZmZk4c+YMVq9eDXt7e6X3/8WhMNkivRYGBQUhJSUFhw4dKrPRAu7cuYO1a9fixYsXyMrKQlhYGFavXg0DAwOlz5K1a9fGkSNHcOnSJWRlZeHp06f47LPPkJWVBW9vb7XnfipIYZ85bW1t8ejRI7x48QKhoaE4e/Ysateune+xDA0NsXbtWgCAl5eX7Fnt6tWrWLBgAd577z0sXry4WM6LiMqXMWPGAHj7nc2dO3eQnp6O4OBgfPXVV2VbMRWmT58OBwcHrFy5EgcOHMDLly+RmJiIo0ePYsGCBZg2bRqsra1l5VU9V82dO1ftecI1tWTJElnHA2W6d++OKlWqYPPmzXj06BGSkpKwf/9+lXO1F+UZTl2dO3fGqFGjcOzYMWzZsgWJiYlISkrC77//ju3bt2PBggWyuY4L+50jlQ96gjMMUgGCg4Ph7u4u+zI/N2UTyDk6OmLPnj0q1wNvh5YxNzeHvb09unfvju7du+fbk83LywtXrlzBhQsXNP6FSFpaGvbu3YszZ87g0aNHSE9Ph7m5ORwcHDBs2DC0a9euwHPavXu3bGzR7Oxs/Pbbbzh48CAePXoEQ0ND1K9fH0OGDMGgQYOgr/9fO2xmZiZ++OEH/PHHH3j27BmMjY3Rpk0btG3bVq7xIiAgAMHBwZg/f77CsQMCAuSCLK+ePXsiJycHZ86cUVgnnYQ3t9zvD/D24Wfr1q24ceMG0tPTUbduXXTs2BETJ05UOab7oUOHMH/+fPj4+Cj0GO/evTuSkpJw+fLlQvdOvH37Nn755Rdcv34dsbGxMDAwQIMGDeDi4gJ3d3eFcbHT0tJw9epVXL58GXfu3EFMTAzi4+NhYGCAd999F23btsWYMWPkXkdlr42npyfc3NwUGrukr5myz4aynqZEukIb8yEnJwc3b95EYGAg/vzzT1mDV3Z2NurUqYMWLVpgxIgRaN26tcK26l7/pdfI3Nzc3ODj44MuXbrIhguQyn2dT0hIwNatW+Hv74/o6GiYmJigTZs2mDZtmtJhPh89eoTVq1cjODgYQgjY29tj1qxZ2LVrF44ePYqLFy/KruXz5s3D4cOH5ba3srLCuXPnFPZ7+fJlbNq0CQ8fPsSbN28gkUgwevRorF27VlZ/T09PWWOW9Jq6a9cuPHjwAHv37kVUVBRq164NNzc3TJ06VfYlX2RkpMJ1VloPZXVcuXKlrIOEJhmsiru7O4KDgxWW5z5OXsoyA1DMAFX3EK1atYK/vz9OnDiB+/fvIyYmBtWrV0fjxo0xatQo9OzZU26blJQUfPXVVwgMDMSbN2/QunVreHt74/Xr10o7ZAQEBODw4cNKc83Lyyvf/IqJicH69etx9epVvHz5EhYWFujevTuAt79sAlR/TojKK2XX2vzu2ZRdtwH564ImfyuqrmVWVlYKDcRubm7w9PRUeV1Uds3avXs3oqKiFOrs6ekJR0dHhWPkvf+/desWtm3bhps3byItLQ3W1tbo06cPxo8fLzeRtarMUna9WblyJQCozD9A82x58+YNVqxYgdOnTyMtLQ0ffPABli5dmu98p9euXVM6z5R0v6qeAfK7ViYlJeHo0aM4ffo0nj59ilevXqFWrVqwt7fHxIkTYWdnJ7eN9NfA+/btwzfffIPAwECkpqaiadOm8PLyQseOHWVllX1WpK+Zsvrkfn2kNHnmlN5vPHr0CIsXL8a9e/dgZGSEnj17YsGCBThy5IjCe5g3A8LCwrBp0yYEBQUhOTkZFhYW6NatG6ZOnSrX2UbVZxdAgZ9RIioaZddvQP67LXW2yZ2Dx48fx48//ojHjx9DT08Ptra2mDx5MsaNGydX3tHRUeN7fWX5KL0uqMp0VdcY6fllZmbixx9/xLFjxxAeHo7q1aujSZMmGDlypNLpHHI/V+Xk5KBp06aYNm0ajh8/Lqtzw4YNVY5UASjPoPzuox89eoRBgwZh3LhxSkcTCAwMxJo1axAWFoaaNWvik08+gZubm+z+AwC+++472bOEJjmrKvPyy0kpPz8/7N27F6GhoTA0NIREIsGkSZPk8k2qMN85UtljgxGpZdq0aQgJCYG/v3+x9YZS14MHDzBgwADMnz8fo0ePLtVjExFR/pgP5ZO7uzv++usv3Lhxo1R6Y0sfLPJ7CCUiItIF0gYjNrQTERGRNuKQdKSWFStWwNTUFDNmzMDr169L7bjR0dGYPn06XF1dlfYUIyKissV8KDv+/v5YuHChwvL4+Hj8/fffCsOGEhERERERERHlhw1GpBYzMzP8+uuvqFSpEn7//fdSO+6aNWvg6uqK1atXF9uYm0REVHyYD2UnOTkZBw8exI8//oj4+Hikp6fjzp07mDZtGgwMDDBnzpyyriIRERERERERaREOSUcaS09PlxvbuqIci4iIiob5ULpevHiBvXv34tKlS3j27BmSk5Nhbm6Odu3awdPTE/Xq1SvxOqiaK4LzuxERka7Jbz4iIiIiIm3BBiMiIiIiIiIiIiIiIiIdxyHpiIiIiIiIiIiIiIiIdBwbjIiIiIiIiIiIiIiIiHRc5bKugDYQQuB///sfjh49ilu3buHly5eoWrUqbGxsMHjwYAwYMEDtfaka6z+vlStXYuDAgbJ///bbb/j+++8RExMDGxsbfPnll2jVqpXCdpGRkejTpw/mzJmDESNGqF0vX19fbNy4UWH57t274eTkpHJ95cqVYWpqivr168PJyQlDhgyBlZWV2sfNfXwrKyu5cy5pQUFB8PT0xMSJEzF58uRSO25xuX//Ps6ePYuuXbuiWbNmRd6fu7s7goODZf9ev349evfurVBO2WfYysoK586dK/AYZ8+exf379zF69GiYmpoWuc7qKu7XqrjFx8dj6dKlOHXqlMLffm7KxkVXJvfcIdHR0fD398f58+fx5MkTxMTEoGbNmmjcuDFGjhyJrl27Kmx/6NAhzJ8/X+X+V61ahf79+6txZlRaUlJSsGHDBpw5cwZxcXF499130b9/f0ycOBEGBgZq7+fatWvw8/PD9evX8eLFCxgYGKBx48bo168fRowYgcqVFW8bmE/Fj/kkj/lUdtTNJ6knT55g/fr1uHbtGjIzM/H+++9j7NixSt+v3E6dOoWlS5fCyMhIrfeLit+VK1fw008/4Z9//kF8fDwsLS3x4YcfYurUqWjcuLHSbWJiYrB+/XpcvHgRycnJqF+/PoYNG4YRI0ZAT09PrmxWVhZWrVqFo0ePIjMzE+3atcNXX30FS0tLhf2eOHECs2fPxqFDh2BjY1Oo80lLS8PevXvh7++Px48fIy0tDebm5mjRogX69+8PFxeXAvdx6dIlHDhwALdu3UJ8fDyqVauGhg0bokuXLhg5ciSMjY0VtlFV32rVqqF27dqws7NDt27d0L17d1SqVEmjc7p27RqCg4Ph5uYGa2trjbYtiokTJ+LRo0c4cOAAzM3NS+24xWXnzp0AgDFjxhR5X3lzpnnz5ti3bx8MDQ0VyubNLkDxGV+ZpKQk7Nq1C82aNVN6n16SivO1KinZ2dkYOnQoQkJC4OnpCS8vL4UyRXmWuXLlCnbv3o07d+4gKSkJtWrVgo2NDfr164c+ffrIyqWnp+PIkSM4c+YM7t27h+TkZJiZmcHBwQHjxo1Tei9MioryXZsm9xzJycnw9vZGQEAA9PX14eLigoULF8LExESh7Pbt27Ft2zacPHkSderUKdR5vXr1Cj///DP+97//ITw8HJmZmahTpw5atWqFIUOG4KOPPsp3eyEETp48iT/++AMhISFITEyEsbEx3n//ffTs2RODBw9WuO5ERkaqzDYTExPUrl0bDg4OcHV1hbOzs8bnVBb3yllZWRgyZAgAYP/+/UqvteVdcT5L5r22derUCdu2bVO45wKALl26ICoqSm6Z9Pk5P5GRkTh8+DAcHR0LLFvcyuK5W11CCOzduxerV6+Gra0t9uzZU+A2aWlpWLNmDX799VdMmzZNaV5JKbtnkKpUqRLu3bundnkpdZ+DVRJUoE2bNgmJRCLGjBkj7t69K9LS0kRYWJiYMmWKkEgkYt68eWrvKygoSDRv3lz06NFD6X/t27cXEolE3Lp1S7bNuXPnRNOmTcWxY8dEfHy8mDFjhmjRooWIjY1V2P/kyZPFJ598IrKzswt1rnPnzhUSiUQcPHhQrfWZmZkiPDxc7N+/X/Ts2VM0b95c+Pr6anx8iUQiRo0aVag6F9bx48eFRCIRixcvLtXjFpeDBw/m+14VVufOnYVEIhEtW7YU4eHhKssFBQUJiUSi0b6ln5+IiIiiVlMjJfVaFYdTp06Jtm3bitatWxdYx7lz5wpHR0eV1w97e3vRo0cPuW2WLl0qJBKJWL16tYiKihIZGRni/v37wt3dXUgkErFu3TqF4xw8eFC0bNlS5XECAgKK/XWgwktOThZ9+vQRHTp0ENevXxfp6enizJkzokWLFmLChAnizZs3au3Hz89PSCQS4ebmJq5fvy5SUlJEeHi4WLhwoZBIJGLs2LHi9evXctswn0oG80k55lPp0iSfhBDi/v37wsHBQYwaNUo8ffpUJCcnC19fXyGRSMSWLVuUbhMXFyc+++wz2TE6d+5cEqdCBdixY4eQSCTC3d1dhIaGirS0NHH79m3Rt29f8cEHH4igoCCFbZ4/fy6cnZ2Fq6uruH//vkhNTRW//fabaN68uVi4cKFCeR8fH9GuXTtx9+5dER4eLnr16iUGDRqkUC45OVk4OzsLHx+fQp9PSEiI6NSpk+jdu7c4efKkiIuLE5mZmeLJkyfC19dX2Nvbi0mTJonk5GSl26empgovLy9hb28vfH19xZMnT0RmZqaIi4sTJ0+eFL169RLt2rUTN2/eVLp9RESE3Oc5JydHJCQkiOvXr4tFixaJ5s2biz59+oiwsDCNzmvDhg1CIpEofT9KUs+ePYW9vX2pXx+LS+fOnYv92iK9dkskEuHt7Z1v2VGjRokNGzaovW/p52fu3LlFrabGSuK1Km4//vij7LVX9boW9llmw4YNolWrVmL//v3i1atXIjU1Vfj7+wsHBwcxbtw4ubKjR48WEolELFu2TISHh4vU1FRx7do10atXL2FjY1Muc708Kux3bZrec3h5eYlevXqJ8PBwce/ePdGuXTsxffp0hXJRUVGiRYsWYs+ePYU+p4sXL4qPPvpIDB06VFy4cEEkJiaKjIwM8eDBA7F8+XLRrFkzMX/+fJGVlaV0+7i4ODFq1Cjh6Ogodu3aJSIjI0VmZqaIjo4WBw4cEB07dhTdu3cXjx49Urq99D5Y+vySnZ0t4uLixKVLl8Tnn38ubGxsxMiRI8WLFy80Oq+yuFdOTU0VTk5OwsnJSaSmppbacYtTSTxLSu8HJBKJ2LFjR75lO3furNH1SPr50SS3iktZPHerIyIiQnh4eMieV9Sp47Vr10SXLl1k2xT0eo4aNUp06tRJaWa5uroqLd++fXuVOde8eXOF3NIUG4zUsG7dOtGuXTuRkpIitzwzM1O4uLgIiUQirly5ota+goKC8r0Jmzdvnujfv7/cshEjRoixY8fK/v38+XMhkUjEd999J1fO399fNGvWTPz9999q1UUZTb+Qyy0jI0NMnTpVrRvnvMrqwhAdHV3oLy/LWkl+IdeqVSshkUjEJ598ovJGhl/IFd0vv/wi2rdvL/73v/8V+LcnxNvXT1XQpKSkiJYtW4qdO3fKLV+6dKnSoIiPjxdNmzYVtra2Ij09XW7dwYMHy+QhlQrH29tbSCQScf78ebnl0i8Af/75Z7X2s3//fvHBBx+I58+fK6wbPny4kEgk4vfff5dbznwqOcwnRcyn0qNpPmVnZ4u+ffuKFi1aiJcvX8qtmzx5smjatKkIDQ1V2K5t27Zizpw54t69e2wwKiOZ/8fefcdHUeYPHP/MbC/pgSSEXgWpiiAKnmI9UbGiJ3bO9pPzRM8KNizYPWwnZzsL9oL9hFNEULpUpXcS0utm+8z8/tjsQtgNKRCKfN8v8zJMfWZ2M8/MfJ/n+wQCxoABA4wePXrEfXbLli0zunfvnjCwc/311xs9evSI+1wT1Uler9fo06dPnZd4n3/+udG9e3dj7ty5ddZ/+OGHjRNOOCHuuauxNm7caAwcONAYOXJkvdv45ZdfjCOOOMK44oor4hpVaJpmXH/99UbPnj2N+fPnJ1w/2lCjX79+xtq1a+Pm7x4wSrT/vn37GoMGDTI2btzY6GM7UAEjn89nlJeX79d97kstFTDq16+fceSRRxrdu3c3pk+fXu+yEjDad7Zt22b079/fuOiiixoMGDX1/M2YMcPo3r278b///S9u3muvvWaMHz++zrRLLrnEuPbaa+OWXb9+vdGzZ0+jf//+9QalxU7NedfW1HuOLVu2GN27dze++OKL2LSXXnrJ6N69e1wDpBtvvNE477zzmn0PvnDhQuPII480xowZE9fQLip675foO+rz+YzzzjvPOOqoo4x169YlXL+goMAYNmyYcfzxxxtFRUVx83cPGO3uiy++MI444ghj+PDhRmlpaaOP7UDdK1dXVx/Sf0stFTCKPhMdeeSRxrJly+pdVgJGe6ekpMQ4+uijjccee8yYNWtWo8o4c+ZM45hjjjE+/vjj2L1bYwJGTbm/u+yyy+r9XLdt22YcccQRxowZMxq9vURkDKNGyMrK4txzz8XlctWZbrVaOe644wCYO3duo7aVkZHBSSedlHBeRUUF33zzDX/5y1/qTF+/fn2d9AbZ2dmkpqayfv362DSv18sjjzzCpZdeypFHHtmosuxrNpuNJ554gpycHN555x1++umnA1KOpmjdujWqKn8Guxs7diy5ubmsWLGCp5566kAX5w+re/fufP3115x44omNWr5v375069Yt4bzPP/8cTdM477zz6ky/4ooreOCBB+KWT0tLIzk5mWAwSCAQaGrRxUHC4/Hw0Ucf0apVK0444YQ688477zwUReHNN99s1LbS0tI488wzyc7OjpsX/Y7uXtdJ/dRypH5KTOqn/aOp9dO8efNYs2YNJ554IhkZGXXmXXDBBei6zltvvRW33sMPP8zjjz+eMCWM2D+qqqqoqakhLS0t7rOL3nPsmuoWYPPmzcycOZO+ffvSvXv3OvMuuOACYGdqKyCWjmfX+iL6+671xapVq5g6dSrjx4+Pe+5qrLvvvpuqqiruvffeercxZMgQzj33XObNm8d7771XZ95HH33EzJkzOf/88xk0aFDC9d1uN/feey8+n4+77rqryWUcMmQIt956KxUVFdx5551NXn9/s9vtpKamHuhiHHTS09P5xz/+AcD48ePjUv+Ife/+++9n+PDhDBs2bJ9v+5lnnqFz584JU3pdc801PPzww3Wmde7cOWG6tC5dutC+fXu8Xi9Lly7d5+X8o2nOu7am3nNE65mG6qCZM2cyc+ZMHnjggWbdgweDQe644w50XefBBx9MmMobiNUvn332GTNnzqwz76WXXuK3337jr3/9K127dk24flZWFuPGjaO4uJiHHnqoyeU8++yzufzyy9m+fXuz1t/f3G53whSwh7uePXty+eWXEwqFGDduHNXV1Qe6SH9Iqqry73//mzvvvBObzdaodVq3bs0XX3wRuyduCYMHD643PfF7771HVlZWvbGHxpI3EY1w6aWXcvvttyecF63YDMNo1La6du3Kvffem3Dep59+isVi4eyzz64zXdO0uGUVRakz/cUXXyQUCnHLLbc0qhwtxe12x8ameOWVVxpc/q677opV1gsWLKBHjx6xn+3bt/P111/XmbZ582aee+45hg8fTq9evejRowfPP/88ACtWrOChhx7i7LPPZsCAAQwYMIBLLrmEb7/9Nm6/l19+eWybl19+eWz60qVL6+xv3rx5vP7665x88sn07t2bM844g6+++qpJ52TZsmXccMMNDB06lP79+zNixAjuu+8+Fi1aFLfsjh07GD9+PMOGDaN3796ceOKJ3H///RQXF9dZrkePHrHcpXfffXfCY9kbycnJ/POf/8RisfCf//wn7kamqebPn0+PHj1i4++cfPLJsTJHP7+oJUuWcP311zNo0CD69OnDiBEjePnllwkGg3HbnT17NldeeSVDhgxhwIABnHPOOUyaNIlVq1bFlmnpc7U3Bg4cSEpKSqOXv/TSSznjjDMSznvvvfcYMWJEXD7hjh070q5du7jlt2zZQkVFBb169WpSGcTBZd68eQQCAfr16xeXuzgtLY2OHTuyZcsWNm3a1OC2TjnlFJ544omE8+qr66R+kvpJ6iepnwB+/PFHAPr37x83Lzotusyuhg8f3ozSiX0pMzOT1q1bU15eTmlpaZ1569atiy2zq1mzZgGJP+8ePXrgcDhYsGABPp8PAF3XAerUU9GXcdH6wjAMHnjgAY4//nhOO+20Zh3LokWLWLJkCe3atWtw/JDoi97XX3+9zvRo/dDQWI2DBg0iNzeXlStXNphDPpFLLrmE5ORkli1b1uD627dvp0ePHrHx+q644orY9SIasDrjjDPqTFuxYgVXX301Rx11VGw6RMZdee+997jmmms44YQTYtfz++67L+7zj14foz/z58+PzRszZkyda9amTZu49tprGTBgAEcffTS33HILZWVljT4ffr+fKVOmMGLECAYMGMDQoUO54oorePvtt6moqIhbftq0aYwaNapOnfrNN9/UWeb555+nR48e5OXlkZeXV++x7I2rrrqKU089lcrKSm677TbC4fBebe/yyy+PBSw+++yzOmXelc/n44UXXuCMM86gT58+DB48mP/7v/9j5cqVcdusqKjgySef5PTTT6dfv36ceOKJXHvttXz88cexv9H9ca721rRp01i5ciX33HPPPt/2qlWr2LBhQ4PjyuzqkUceqXd8vqa+IzqcNeddW1PvORpTB/n9fh566CEuvvhi+vbt2+TjgMj4e3l5eQwcOLDBcVOjjTx3rYP8fn9sXJSG6qAzzjgDu93O9OnT2bZtW5PLOmbMGFRV5dtvv21w/cbcK/fp06fOtDlz5nDJJZfQv39/evToEbvfKy8v5/XXX+eyyy7j+OOPp3fv3px66qk88cQT1NTU1NlvdBzDXZ+/dj3+Xeu8ZcuWMXr0aPr168fgwYO577778Pv9jT4fjblORoXDYd58801GjhxJ3759GThwIFdffTW//PJLneUaepbcF+644w769u3L9u3bGT9+/F5vb/jw4bFx+l544YVYeXe/X6+oqGDSpEkMHz6c3r17c/zxx3PbbbexefPmuG0WFBRw3333cfLJJ9O3b19OPvlk/va3v/HNN9/E6sz9ca6aKy0tjaOOOqpJ6/Tq1SthI9x9aezYsQkbNgWDQT755BNGjRrV5LEydycBo70U/YMYOHDgXm3HMAzef/99zj33XJxOZ515nTp1YsOGDbF/l5WVUVFRQadOnYBIq4g333yTu+6666CIvEdbgvz6669xF/3dPfbYY7FWi4MGDWLNmjWxn7Zt2zJixAjWrFkTq1Affvhh3G43H3/8MV9++WWdFiUvvPACP/zwAxMmTGDu3Ll89913/OlPf+KWW25h6tSpdfb79ttvx7WWhMgNxpo1axg7diwQeWgMhUJ89NFHsUEP//GPf7B8+fJGnYuVK1cyevRonE4nH3zwAfPnz+fhhx9m0aJF3HHHHXWW3bBhA+effz4LFizghRde4Ndff+XZZ59l7ty5XHTRRRQWFsaWXbNmDZMmTQIig6dGz1ljBl5rrL59+8ZaPd5111119t9UgwcPrvM5fv/997Ey7zrw29dff83o0aPRdZ1PP/2UhQsXcuONN/Kvf/2LG264IXazF93GX//6V3r06MEXX3zBL7/8wh133MHXX3/No48+Gltub8/VGWec0aSfd955p9nnqbkWLVrE2rVrYy/D62MYBmVlZfzwww/ceOONdOvWjaeffjrhstu3b2fcuHGxlwl/+tOfuPPOO9m4cWNLHIJoprVr1wLU+1ASnR5drrmiAafd6zqpn6R+kvpJ6ifY87WoVatW2Gw2iouLKS8vb7EyiOZ77LHHSE5OZty4caxduxa/38/y5cuZMGECAJdddlmd5ff0eZtMJrKzswmHw7H6oV27dphMpjotuaPzovXFRx99xKpVq7jvvvuafRzR3qN9+vRpcNk+ffqgKAp5eXmxOm7Tpk1s27YNVVXp3bt3g9uIvlScM2dOk8tqs9liQa3Zs2fvcdm2bdvWuf6/9dZbsevFY489BsB///tfvv/+eyDyfPrYY49x2223MXv2bP7617/GtrV+/XoeeOABunbtykcffcTChQt5+umnWbZsGZdccgkejye2bPT6GN3vrl577bVYXVVRUcGDDz7IzTffzOzZs7n//vuZMWNGnYG5G3L77bczZcoUbr/9dn7++Wc+//xzBg0axMMPPxw3YPPEiRO58847GTJkCD/++CM//PADgwcPZty4cbz00kux5f72t7+xZs0acnNzyc3NrVOP78uBvCdNmkS7du1YsmQJ//znP/dqW2+//XbsczzvvPPqlDnK5/NxxRVX8Morr/C3v/2NRYsW8fHHH6NpGn/5y1/q9MYwDIMxY8bw5Zdf8sgjjzB//nzef/99cnJyGD9+fOyeYW/P1TvvvNPkOqkpysrKmDRpEnfddVdcj5L6NOVZJtoTKCcnh2nTpnH++efHXgSPGTOmSUFhTdPYtm0bdru9UdciUb/63rU19Z5j1+eSqN3roH/961/4/X5uvfXWZpc3ei1vTMCpX79+QKQxktfrBSLP9F6vl8zMTNq0abPH9R0OB927d8cwjLhARWNkZWXRtWtXDMPg559/3uOyjblXXrFiRaxX16JFi/jPf/7DI488wpw5czjrrLNi25o/fz5PPPEEJ5xwAl9++SXz5s3jvvvu47///S/XXHNNnUaH559/fp397mr3Ou/5559n4sSJzJ49m+uvv54PPvig3oaQu2vsdRIiwce//e1vPPbYY1x44YXMnTuXr7/+mpycHK655hqmTZsWW7ahZ8l9wWq18s9//pPU1FS+++67uF7TTfXDDz/EPsexY8fGyrtrPVxcXMyoUaP4/PPPefDBB/n1119544032Lp1KxdddFGd+srr9fKXv/yFJUuW8Pzzz7Nw4UJef/11dF1n3LhxFBQUAHt/rp5++ukm1T9XXnnlXp2nljJ9+nRGjRrFwIED6d+/PyNHjmTKlClNygj0zTff4PF4GDVq1F6XRwJGe6GiooI5c+bQq1evuFRATTV79my2bNkSl44OYPTo0fz888/88ssvhEIhJk+ejNls5uKLLwbggQceYODAgXUuxAdS+/btgUjkPT8/f59uOysri2uuuYb09HS6dOnCddddF0uX0a5dOyZMmMDgwYOx2+20bt2aG2+8kVNOOYXJkycTCoWavD+LxcL1119Peno67dq14/bbb8cwDL788stGrf/ll18SCoW44YYbyM3NxWazMWDAgIS9zG6//XbKysqYOHEi/fr1w2q1MmDAAB588EF27NjR6ApvX7r88ss5/fTTqaio4NZbb03Ym2BfKS4uZsKECdjtdp5++mnatm2L3W7nrLPO4pprruHnn3/m448/ji0fbeHy97//nVatWuFwOBg6dCh///vf92m5Nm3a1KSfA/EybOrUqfTr16/BdF8XX3wxQ4YM4cYbb6Rnz5689tprdO7cOeGyK1asoH///kybNo3FixczadIklixZwgUXXMC8efNa4jBEM5SUlADE9SyLik6PLtccoVCI7777jtatW8fdsEv9tJPUT/uX1E8HV/0UvcbU1yspmnJu9x4M4uBw/PHH8/7776MoCmeffTb9+vXjoosuIhgMcv/993PNNdfUWb6hzzta90Q/b7fbzciRI5k6dSp5eXlUVVXxyiuv0LlzZ44//njKysp4+umnueGGGxL2im6s6MvFxrTqdDqdsfJH14v+Pzk5GYfD0eA2ovtJ1KK2MaLHumXLlmatX5/ly5fzxBNP0Lt3b1wuF5dffnmsJ4TD4eCEE07gnnvuISsrC4fDwdFHH83jjz/O1q1b+fDDD5u8v7Vr13L77bfTp08f3G4355xzDscddxyzZs1K2Dtod1VVVcyYMYOhQ4dy4okn4nQ6ycjIYOzYsXE9xX744QemTp3KwIEDGTduHCkpKaSlpTFu3DgGDhzICy+8UKchy/6QlJTE5MmTsVqtvPrqqw0GAPfW5MmTWb58Oddccw0jRozAZrPRrl07nnrqKcxmM/fcc0+sTlyzZg0rV65kxIgRDBw4ELvdTnZ2Ng8++GCDL6Sbory8vMl1UlM88sgj9OrVK+GL4/o05Vlm69atQCRwPXnyZG6//XbmzZvH1KlTqays5KqrrorrwVaf2bNnU1lZycUXXyypHPfCnt61NfWeo0uXLgwePJhXXnmFiooKCgoKmDp1KscffzxdunRhw4YNvPbaa9x55531PlM1RvR73Zg6KCsrC4g8Z0V7UETrkui8hhysddDvv//O5MmT6dKlC263mzFjxsRSYyUnJ3PBBRdw3XXXkZ6ejtvtZtiwYdxzzz0sXbqU//3vf03e38qVK3nsscfo0qULycnJXHPNNXTu3LnRz0RNuU5OnTqVH374IZbWz+VykZWVxUMPPUSbNm2YOHFio+q9fSk3N5fHHnsMRVGYNGkSq1evbtH9TZw4kS1btvCPf/yDYcOGYbVa6d69O0899RTV1dXcf//9sWXnzp1Lfn4+F198Mb169cJms9GhQweeeuopLBbLPitTcXFxk+qf5vTK2x8WLlzIuHHjmDNnTux7NnnyZEaPHt1gY9eod999l1NPPTUuO0BzSMBoLzz55JMoisLjjz8elwqoqd59910GDx5Mly5d4uaNHDmSMWPGcOONNzJgwAC+//57nn76adq1a8e0adNYunRp7I/y22+/5aKLLmLYsGFcfvnlLFy4cK/K1Ry79pDa13k0//znP9f591VXXRVroTRhwoSEOYe7d+9OZWVlsx4edt9e9OV6YyvV6Pfi22+/rdOV+phjjqnTgnj58uX89ttvtG3bliFDhtTZxpAhQ0hPT+e7775r9EViX3r00Ufp0KEDixYtikvPsy9NmzYNr9fL6aefHnejNmLECCDSLTkqem53v3k/++yz9+m4Fru2bmjMz64t0veH4uJiZsyY0WDvIoAPP/yQxYsXx17Y1JfC6rjjjuOjjz7iyiuvJD09HZvNxnHHHcc///lPvF4v//jHP5rUxVu0nOjnUN8NV3T63nxer7zyCsXFxUyaNCnuBZrUTztJ/ST1U9ThWD9FrzH15euPXot2T+shDg7//e9/ueCCC1BVlc8//5xff/2Vd999lyOPPBKPxxMXkG3O53333XfTs2dPTj31VIYMGYKu6zz33HOYTCaefPJJ0tLS+Otf/4qmabz44ouceeaZsZ6YjQ3wR6/rjc0xb7fbAWK9aqLrR6c3df2mitZJzV2/Pn379q3T8j47O5tnn30WiKRHT5SWNToW1a+//trk/WVnZ8c1WurSpQuGYcRexO+JqqoYhsHSpUvjxgF6/vnn66QojLaevuiii+K2c+aZZ6JpGl988UWTj2FvHXnkkdx1110YhsGdd95JUVFRi+wnHA7Hgnq7n4OkpCROOOEE8vPzYwGRaH30yy+/1Gk0oCgK77//fqyXw96K9lBqyk9j/fTTT3z//fdMnDix0es09Vkmeg+Tl5fH448/zpAhQ3A6nfTo0YNnnnkmljKzoXudYDDIk08+SceOHRk3blyjyyvi7eldW3PqoMcffxyn08nxxx/PSSedRG5ubqyX98SJEznqqKMYOXIkPp+PSZMmceqppzJ8+HAmTJjQ6ABA9FremDpo12eqP1oddMIJJ9QZk6pXr16xBmnHHXccjzzySNw60XRkzamD+vbtG/dyvGvXrlRVVTUqNWpTrpP11UEmk4kzzjiDmpoapk+f3uRj2FsnnXQS11xzDYFAgHHjxsV6re1r0XdPVquVc845p868Dh060Lt3b5YsWRILYkbP7cyZM+uUyeFw8N133+2ztG3RHkqN/dm95/LB4NZbb2Xq1KkMGTIEu91Oeno6f/3rXxk9ejQrVqxg8uTJDW7jt99+Y9myZY16N9gYEjBqpi+++ILPPvuMp556Km6w16bKy8tj1qxZ9X6oiqJw6623snDhQmbNmsXs2bM5/fTTqaqq4oknnuDaa6+lU6dOzJkzh1tuuYVBgwbx6quvkpOTw9VXX93kFjx7a9cbqX09iHFOTk698zweD//6178455xzGDhwYCznZTQ1QVVVVZP317p16zr/jlZ8jX3hceGFF+JyuXjppZf485//zEsvvcSGDRswm811HuSi3Vx79uyZcDs5OTmEQqG9TivVHG63m8mTJ2Oz2ZgyZUrcoJP7yooVK4DE5yBakfz++++xtD+XXnopFouFCRMmcP755/PGG2+wfft27HZ7o1vl/BF8+OGHuFyuuJfV9XG73QwcOJA33niDlJQU7rrrrriX1dnZ2Qmva7169aJPnz4UFxc3q+u72PeiDwr19VCJTm/sg8fu5s+fz0svvcTdd9/N0KFD4+ZL/bST1E9SPx3O9VP0GlPf+B3Ra1Fjem2I/Wvbtm3ccccdsevBEUccgcvl4uijj2bcuHE899xzcWPQNefzTk5O5qWXXmLhwoX8/PPPfPbZZ3Tr1o3Fixfz2Wefcf/992O1Wnnuued4+eWXuf7663nxxRfZvHkzV199daN6Ykav641N3RF96RgNBEfXb2wji+hyza1PonXSvk7Z2tALmEWLFnHDDTdw0kknxcbci17fKisrm7y/3esj2PkisjHn0u12c+GFF1JYWMif//xnbrnlFr777jt8Ph8ZGRl1zk+0TjriiCPithOthxON47M/jB49mhEjRlBaWsrtt99eJ1XpvrJx40ZqampISUlJ2ENo93PQvXt3jjvuOFavXs3JJ5/MPffcw6xZswiFQmRlZTX7/nB/qamp4YEHHmDs2LFN6n3Y3GeZzMzMuDEh2rdvT79+/aisrGzw+eehhx6irKyMKVOmSH23Fxp619acOignJ4d33nmHefPmsXDhQt5++22ysrL44osvWLx4cayB24QJE/jss88YP348TzzxBD///HOjG9xEr1WNqYN2vV8/3OqgmTNnctVVVzFs2DCOOOIIevTowSmnnALsm2ci2FkHNea5qLHXSY/HE3tvcjDWQbfeeitHH300GzdubFKAvSlWrlyJYRh07doVq9UaN3/3c3D88cfTvXt35syZw8knn8zDDz/MggUL0HWd3NzceoO+h6MBAwYk/FuOZm75/PPPGxwXb+rUqXTv3r1J4/HtiQSMmuHnn39mwoQJTJw4sdmDsu7q/fffJzMzM3aRrI/VaiUjIyMWpX366adxOp3ccMMNAEyZMoW2bdvyj3/8gx49enD//fdjsVj497//vddlbIpoNNlisTQ42F9T1ddaIxAI8Je//IXJkydz4YUX8t1338Wix9G8280ZdHL3m+im9iTr2rUrn3/+OaNGjaKoqIjJkydz5plncskll9TJhRptTTJjxow6A7xFf3777TfgwKVy6dmzJ+PHj0fXdW6//fYWKUf0HDzyyCNxxx9NRxEIBGItYIYMGcLHH3/MmWeeybp163jsscc45ZRTGDNmzH5/CX2gaJrGhx9+yAUXXNDo1rRRDoeDESNGEAqF+OSTTxq9XjSll4xldHCItqaq7+Y6Or05XZJXr17N2LFjuf766xvM8yv1k9RPUj8d3vVT9BpT38vm6Dls7NgTYv/59ttvCQQCDB8+PO4FZ9u2benfvz/Tp0+v0+q3oc87Wvck+rxdLlcsTVM4HOaBBx5gxIgRDBkyBL/fzxtvvMGIESMYOXIkvXv35q677mLz5s18/fXXDR5Lx44dAWI58ffE6/XGyh8dwyK6flVVVaNeMkX3E12/qaJ1UnPXr8+eggBffPEFl112GWVlZTz//PMsXbq0yT0+GrO/aJ3U2Prt4YcfZtKkSXTp0oVvv/2Wm2++mWHDhvHMM88QDAZjy0WvsyNHjoy7Ht94443A3qXh3VsTJ06kY8eOzJs3r854SvtK9FpaWVmZsE5+4403gJ3nQFEU/v3vf3P33XfTqlUrPvnkE6677jpOPPFEXn/99Wbdf+xP0bE5rr766n22zUTPMtEX9vU1/oneM+4p9dcLL7zAd999x6uvvhq7loima8y7tr2550hKSooFSKqrq3niiSe45ppr6NKlC9u2bePrr7/m8ssv58QTT2TgwIGMHTuWBQsWNCozQvRa3pg6KDr+ptVqjX2/ot+bxo7NeSjWQS+//DI33HADVquVN954gxUrVrBmzZrYeET74pkImlYHNfY6uWvDw10bAEZ/Hn74YeDA1UFms5lnn32W9PR0PvvsszrjKe0r0b+t33//PWEdFO1dFT0HNpuN9957j7/97W9YrVbefvttLr/8ck499dQWKd8fUbt27VAUhYqKij2mF6+qquKbb77hkksu2Wf7lnBeE/3yyy+MHTuW++67jwsvvHCvtxcMBvn444+59NJLmxRdXb58OR9++CEvv/xy7CXV2rVrGTRoUOzi6HK56Nix435v9Rsd+PWoo46qk/6nJU2fPp21a9dy6qmncsUVV+yXfTZWu3bteOihh5gwYQKzZs3igw8+YM6cOVx22WV8+eWXdOjQIXaTuq/T1exLF198MQsXLuTLL7/kjjvu4Nprr92n249G0x9++OGEaSYSOeKII3j22WfxeDz873//47333mPOnDlceumlfPvtt/skb3S0e3RjjR07dr+lpfvhhx8oKipKOPZZY0RbJjYmXUjUwf5gebiJtrqL5r7eXTS1S1N7wq5evZorr7ySK664osnfZ6mf6pL6qeVJ/dQ4LVk/de/enblz5ya8FhUXFxMIBGjVqhVpaWktsn/RfNHPrFWrVgnnR6evWrWKo446Cthz3aNpGgUFBZhMpoSptnf15ptvsmPHDl5//XUgklIzEAjUSW/Wu3dvgEYFNE444QSmTJkS6xW4JytWrMAwDDp16hR7gdypUyfatWvHtm3bWLlyZYMtNKPB9RNPPLHB/e3O6/WyZMkSgIQ9eFvKiy++iGEYTJw4MWEL6QNFURTOP/98zj//fDZt2sSXX37Ju+++y5QpUygtLY2lMEpKSqK8vJzp06fToUOHA1zqeG63m+eee45Ro0bx0ksvMXjw4H26/WidnJWVxU8//dSodSwWC1dddRVXXXUVv//+O1988QUffPABjz/+OH6/n//7v//b63I9//zzvPDCC01apzF/099//z15eXn06tUr4fwXXnghtt+33nqrUec70bNM9FpVX4+VqPoa5/zrX//irbfe4o033mhwTFlRv8a+a9tX9xzPPvssVqs1Fmxet24dhmHU+Qyjv69du7bBOmHYsGF89dVXdRpe1WfZsmUADBo0KNZYY+DAgTidTkpKSsjPz9/jOGN+v5+1a9diMpmaNZ56fn4+mzZtQlEUjjvuuCav3xzBYJApU6agqipPPfXUXo0Xta815joZfR5QFIXly5cn7GFzoGVlZfHkk09y7bXX8uCDD9K3b999uv3oZ3bUUUfF0vM1xO12M3bsWG666SYWL17MtGnTmDZtGnfeeSeKojBy5Mi9Ltddd90VG0O2MXJzcw/KtHSJGIbRqHdwn376Kaqq7pPzGSU9jJpg7ty53HTTTdxzzz11KrB169Y1ehDE3X377bdUVVUxatSoRq+jaRoPPPAAp556Kn/6059i03VdR1XrfqSqqrZId/j6VFdXxy4c+/qFzZ5EX4omenA4kGOt/Pbbb7EbGZvNxmmnncZrr73GhRdeSCAQYObMmQCxC/nuebujysrK+Omnn+q0dtzbcbOaY+LEiXTu3Jk5c+bw6quvNnn9PZU5mhu2vhffmzZtYv78+bF/L1q0qM5gyueeey7vv/9+bPDkRYsWNWq/DTmYxojY3dSpUxk6dOgeUzT06dMn1gNgd8XFxUB8N/Tjjz++3oe4aHBpX7dEEs1z7LHHYrVaWb58edyNRHl5OZs3b6Z9+/ZN+rxWr17NVVddxejRo+t8n3fs2NHgYNhSP8WT+mn/kPrpwNZP0b/36AuQXS1durTOMuLgEn2hFr0n2F10LJZdx8rb0+e9Zs0afD5fnZdgiRQUFPDCCy9wyy23xIJS0Xps1/oi+ntj6ouBAwcyYMAAtm3bxuLFi/e4bLRl6+71QfTfn3/++R7XX7hwIXl5eRxzzDH079+/wbLtburUqXg8Hvr379/o1CH74toavZbv3gPiQNZHPp+vTvCjU6dO3HzzzXz88ceYzWa+++672Lzo9bi+Omnp0qUtPuB3Q3r06MGECRPQNI3bbrutyQOg7+lz7ty5M0lJSRQXF9fpeRWl6zqzZ8+O9TwoKyur0zOiV69e3HXXXbFxrHY9t3ujpcYw+uGHHxKuG+2hPXbs2Ni0XYNFTX2WGTJkCIqikJ+fn/BaE/2+RceL3NXLL7/MG2+8ERcs+umnn5o1Hsvhqinv2vbFPcfKlSt57733uPfee2N1VfSzN5lMseWiv+8+ll8iZ555Jrm5uSxatKjea1RUojrIbrdz+eWXAw3XQf/973/x+/2cffbZzUp3/O9//xvDMDjzzDNp27Zto9bZ2zqovLwcr9dLWlpaXLCosalkW0Jjr5NOp5Nu3bphGAY7duxIuK158+btsSfi/jB06FCuv/56vF4v48aNS1hX7MmePuc+ffqgqmq932+v18tPP/0U6wmTn58fa8SjKAoDBw7k4YcfjjUC2Vd10KE+htE333xTb8PSbdu2AZCamlpvENwwDN577z3OOeecfZpiUgJGjTR37lz+7//+j3vuuSeudemKFSvioqsej4frr7+eO++8c4+Vy3vvvcfJJ5/cpIv8u+++y6ZNm7jnnnvqTO/SpQvr16+P/TsYDLJ169YGW/ftK36/n9tuu43i4mIuu+wyhg0b1uh1U1JS6lQSt956a5NSFUW7jye6MTyQN2pvv/12wsh7t27dgJ3dZ/v06UPfvn1ZunRpwnQ1L774Ig899FCdlEfRSjZ63rZu3cpZZ53VrMHTG8vpdPLcc8/hcDiYPXt2k9ffvcxff/11LCfnueeei9Pp5Msvv4xr3aVpGrfcckudbquTJ0+Oq2AURYndyB/oc9XSNm7cyLx58xoc0C4YDCZsgRgMBvn222+B+BvqkpKShJ/vihUrWLlyJZmZmRx//PF7UXqxr0Tz/hcXF8d9zp999hmGYcSlk9tT/bRmzRquuuoq/vKXv3DzzTfXmbd161ZefvnlPZZH6qd4Uj9J/QR//PppyJAhdO/enR9//DEuLeAnn3yCqqqxlyDi4BLtHTNz5sy4oEFeXh7Lli1DVdU6L2M7duzIn/70J5YvX866devqrBNNc9tQKtNHHnmETp061bmPad++PRaLpU59Ef29a9eujTqeSZMmkZyczEMPPVTvAPVz585l2rRpDB8+nPPPP7/OvIsuuoiTTjqJTz/9lAULFiRc3+Px8NBDD5GSkpJw8O6GzJ49m+eee47U1FQef/zxRq+3+/Vi0aJFnHXWWU0asLy+OqmhAFtLKi0t5cYbb4w7jrZt2+JwOOqkG4p+Xz799NO47RQWFnL55ZfHBYx2r8cfe+yxWOqglnLRRRdx7rnnUlhY2OTe1CkpKUDdF6ijR49m2rRpmEwmRo0aha7rCV8oz5gxg+uuuy5WV61bt45x48bF3e/tXtfvuu/9fa5aQlOfZbKzsznllFOorKxk1qxZddbZtm0by5Yto3Xr1nHPP1OmTOG1117j9ddfj+tZ9M033/Dzzz/vw6P642rqu7a9vefQdZ0HHniA4cOHc9JJJ8WmR59Ldq3Xor83pg6yWq088cQTqKrK/fffX2+PtU8//ZT58+dz2WWXceyxx9aZ93//938ceeSRvPrqq3Xqwl0VFhbyzDPPkJuby1133dVguRLt//3336dt27ZMmDCh0evt6V65MdLS0rDb7ZSVlcU1UjmQdVBTrpPRzC6J6qAVK1Zw5ZVXxh3b3j5LNsfNN9/M4MGDWb16db0Nguqz++ccCAQ466yzmDt3LhkZGZx22mkUFhYmHNPt/fffZ9y4cbHeV/PmzUs4nlJj66D9ca4OBn6/nyVLliRMZxm9/p199tn1BvN+/vlnNm/e3OC7waaSgFEjzJs3jxtuuAGXy8Uvv/zCuHHj6vwkeuEyZ84cfvzxR6ZNm8bvv/+ecLu///47S5YsaVI6qeLiYiZPnszNN98cN5jcmDFjWL9+Pe+88w5VVVW88MILeDwexowZ07QDboJgMMi2bdv46KOPGDlyJHPmzGHs2LGMHz++Sdvp3bs3GzZsoKCggDVr1vC///2vSWNunHrqqeTm5jJ79mymTJlCWVkZJSUlPP7447F0DwfK1KlT+fzzz6moqMDn87FgwQLefPNNWrduzRlnnBFb7vHHHyc9PZ0bbriBX375BY/HQ2FhIc8//zwffvgh999/f50Wlz179sRkMrFo0SJ8Ph+ff/45+fn5seBjOBymR48enHPOOfv0eLp16xYbFLKpomlF5s2bh8fj4dNPP41VJhkZGUyaNInCwkJuvPFGVq9ejc/nY/369dxyyy1UVVXFvcB+8cUX+eGHH6iursbj8fD999/z+eef06NHjzovNho6V4eid999lzZt2jSqxfZLL73Eq6++Sn5+Pj6fj5UrV3LDDTewefNmTjvttDrfw6gXXniBqVOnxrr1R699NpuNxx9//KAfJPdwcuutt9K1a1fuvfdeFi1ahN/vZ8aMGTz//PMMHTo0Lo9tffXT2rVrufLKKwkGg2zevDmurnvxxRf3WA6pnxKT+knqp8OhflJVNfbi+5ZbbmHr1q14PB5efPFFZs6cydixYw+q9FdipwEDBvCXv/yFoqIibrrpJtasWRNLl3bTTTcRCoW47rrr4npJPvDAA2RmZnLrrbfG/iY++OAD3n//fS644II6L+F2N2vWLP73v//xwAMP1Ll2OJ1OLrnkEj7//HMWLFhAaWkpzz77LFlZWZx11lmNOp5OnTrxxhtvUFFRwcUXX8x3331HeXk5wWCQLVu28MILL3DDDTdw6qmn8vTTT8c9fKuqyjPPPMMpp5zCddddx4svvsiWLVsIBoOUl5fz3XffcfHFF1NVVcXrr7/e6LRoVVVVLFy4kAkTJnD99dfToUMHpk6d2qSxTqLXqfnz5+P1evn000/xer1Nak161VVXAZGB3ZcvXx679jf32rmvhMNhbrvtNtatW0cwGKSwsJBJkyZRXV1dp9Xtn/70J6688kq++uornnzySbZt2xY7hr/+9a8MGjSIESNG1Nl27969KS0tZfXq1eTn5/PVV1/FgjIQSUvVo0cPZsyYsU+P6YEHHoi9FGsKt9tNx44d+e2336ioqOCXX35h0aJFsWDfzTffzIABA5g0aRIff/wxJSUlVFZW8uWXXzJ+/HhuuummOj0GiouLmTBhAlu3bo3dG0Vf4O3eormhc3UoaeqzzL333ktOTg4TJ05k4cKFBINB1q5dy6233hoLBOza4OPf//43zzzzDDk5Obz22mtx9831BZxFXc1517a39xzvv/8+GzZsiHsm6NSpE8OHD+ett96K/Q28/PLLHHnkkQwZMqRRxzNw4ED+9a9/sXz5ci6//HJmz55NdXV17Ps0adIk7r33Xi6//HLuvvvuuPXtdjuvvvoqvXr1YvTo0bz11lvk5+cTCoUoLi7m008/ZdSoUaSkpPDmm282KtWvruuUl5czZ84cbr75Zu6++26OPvpo3n33XdLT0xt1XLDne+XGsFqtXHrppRiGwa233sr69evxer18//33PPvss43eTkto7HXyL3/5Sywrw2uvvUZBQQEej4eZM2fyt7/9jfPPPz+u13BDz5LRMX7re2/cHNF7mfrSDe9JNCX5kiVLqKmp4csvv2Tjxo2xsbbuu+8+OnbsyB133MH06dOprKykrKyMd955h2effZbx48fjcrli21u+fDlPP/00BQUFBINB1q9fz5NPPonFYokLcOztc/ehSlEUgsEgN954IwsXLsTr9VJWVsa///1v3nvvPXr27Mktt9xS7/pTp05l4MCBTR6GoMFyGTIgRYMakw9x0KBBvP3227F/FxYWMnr0aFJTU3nnnXcSvlydMGECixcvjrXyb4zbbruNtWvX8tlnnyUc8+i9996LXbg6dOjAuHHjOOWUUxrcbn15h6O5gOubbzabSUpKomPHjgwePJiLLrqo0V1ad7Vhwwbuu+8+fv/9dxwOB2eccQbjx49n0aJFCbvmJcpRXFRUxLPPPsvcuXMpKSmhdevWsYESowOARnNVXn755XE3cWPHjuW8887j5JNPrjM9uk6i78GkSZPiWibuauvWrXz22WfMmjUr9rI+OzubYcOGce2118a9ECosLOSll15i1qxZlJSUkJGRQb9+/bj22mvp06dP3PY/+ugjXn75ZYqLi2nbti233XZbrPz5+fmcdNJJnHrqqY3KKZ3onOzp+O655x4++eSTJg2SGw6HefTRR/nuu+/wer0ceeSRPPjgg3V6GSxfvpyXX36ZxYsXx87XCSecEHe+Vq9ezbRp0/jll18oKCggFAqRk5PDaaedxtVXXx33cLOnc3WgbN++vd4y7Cmvqs/nY9iwYVx33XVcd911e9zHhg0b+OKLL/jpp5/YsmULfr+fpKQkevTowciRIzn//PPjXpZE15k1axZbtmwhFAqRmZnJ4MGDufbaaxvdylfsP9XV1Tz33HNMnz6d0tJS2rRpw8iRI7n22mvjbuTrq58ak39+T99LqZ/qlmtXUj9J/XS41E8bNmxg8uTJzJ8/H7/fT9euXbn66qvrfdm/p3vshr7DYt/64osv+Oijj1i1ahVer5ekpCR69+7NJZdcwqmnnppwncLCQv75z38ya9Ysqqur6dChA5dccgmjR4+utxVkIBBgxIgRDB06lAceeCDh/CeffJKvvvqKmpoaBgwYwL333tvkF+9er5f33nuPGTNmsGHDBnw+H+np6QwYMICLLrqoUeMGzZ49m48++oilS5dSVlaGw+GgS5cunH766Vx88cUJx8Krb2wxp9NJeno6ffv25bTTTuO0006rk/aosV588UU+/PBDKioq6NKlC+PHj+foo49OeJ3c/fk06uuvv+b1119n48aNKIpC7969uf7667nmmmtiy0yaNInc3NyE9dyaNWvqrXcGDRpUb11Vn3A4zIwZM/jmm29YtWoVRUVFuFwuunTpwmWXXZawYdNXX33F1KlTWb16NYqi0LZtW0aOHMno0aPjnrsLCwu57777WLx4MSaTiaFDh/Lggw/GAm133303n376KZ9//nmDge358+fHnZOGrokXXngh11xzTZPSgv766688/PDDbNiwgZSUFC6++GJuuumm2PxAIMDrr7/OV199xdatW3G5XHTt2pXRo0fz5z//Obac3+/nm2++4dtvv2XDhg0UFxeTkpLCEUccwZgxY+Jegjd0rg604cOHJ0yFtPt3vbnPMqWlpTz33HOxnispKSkce+yx3HDDDXHXoPrKsqv9Obbtoao579qimnrPAZHP+IwzzuC6665LmKK6srKSRx55hB9++IFwOMyQIUO4//774xrDNaS8vJy3336bH3/8MdbooFWrVgwaNIhLL720wbFlDMPg22+/5fPPP2flypVUVlbidrs54ogjOPPMMznvvPPqpIqFPd+7uVwuWrVqxYABAxgxYkSTsi1E7eleOdHfw3nnncdjjz1WZ5qmabz//vu8//77bN26FavVytFHH825557L3//+99hyb731Fnl5eXFBtT09L7311ltAfCC8vu9PVFOvk9Fj+OSTT9iwYQNWq5UOHTowatQoLrzwwrg07PU9S0bvAa644goWLlzIvHnzGgzQf/rpp3HnZE/HN3/+fK6++moefvjhJt1Tf//99zz99NNs376dVq1accMNN9Tp/VdVVcWUKVOYPn06O3bsIDU1lR49ejBmzJg6Y2JVVVXx5Zdf8t1337F582bKy8vJyMigb9++CZ8hGzpXB0qi71tUfePn7Wms2d2fUUOhEHPmzOGrr75iyZIlFBUVYTab6dixI2eccQZXXnllvWme8/PzOeWUU3jyySfjGszsLQkYCfEH9d577/HAAw/wz3/+s86DgxBCCHEgSf0khBDiYBAOhzn55JNxu918/fXXB7o4QgghDiNVVVUMHTqUY4899rBIvSYOLfFNgIUQh7yCggJefPFFhg4dyumnn36giyOEEEIAUj8JIYQ4eLzwwgsUFxfz5JNPHuiiCCGEOIwYhsEjjzyC2WzmzjvvPNDFESKOBIyE+AP6+OOP6d27N08++WRcl1gh/ggWLVrE5MmTWb9+Paqqcuyxx3L77bc3Ol3AqlWrePHFF1m0aBGappGZmckFF1zAVVddlTCd2q4effRR3nzzTUkzIUQzSP0k/gj2Zx101113MWPGjITprW+66aZ9PsCtEIeLsrIyvvnmG5577jkGDRp0oIsjRJNIPSTEoW3jxo0sWbKEV155pU4KbCEOFhIwEuIPKJrjur788UIcyubNm8eYMWMYM2YMb7zxBl6vl1tvvZVRo0bxySefNDi444IFCxgzZgzHH3883377LSkpKfz444/cdtttrF69mqeeeqredZcuXbrHHMhCiD2T+kkc6g5EHTR+/HgZz0mIfSw9PZ3//ve/0nhBHHKkHhLi0NelSxepg8RBTb6ZQvwBKYoiL+PEH1I4HObee++lffv23HLLLZjNZpKTk3nkkUcoKSnhmWeeaXAb9913H4qi8Oijj5KWloaqqgwfPpzRo0fz5ZdfMmfOnITrBYNB7rnnHhlzRYi9IPWTOJQdyDpICLHvyYs6caiRekiIPw6pg8TBTL6dQgghDhnz589n69atnHbaaXVusLKysujfvz9ff/01NTU19a6/efNmNm3aRPfu3UlPT68zb+jQoQB88sknCdd98cUXycjIYNSoUfvgSIQQQhxqDmQdJIQQQkg9JIQQYn+QgJEQQohDxoIFCwDo0aNH3LwjjjiCQCDAsmXL6l2/tLQUgLS0tLh5GRkZACxZsiRu3qpVq3jnnXd4+OGHpXeEEEIcpg5UHSSEEEKA1ENCCCH2j8N2DKNwOExlZSU2m026AQohRAvRdZ1AIEBKSkrcAKrNsWnTJgBat24dNy86bfPmzRx33HEJ148+HEUflnZVXl4OQEFBAbqux+qGcDjMPffcw4033kiHDh0oKCjY6+OQOkgIIfaPfVkPHYg6CODnn3/ms88+Y+vWrWiaRs+ePbniiisYNmxYs45D6iAhhNg//gjPQiD1kBBCHKqaWw8dtgGjyspKNm/efKCLIYQQh4WOHTvGWq3tDY/HA4Ddbo+bF51WXV1d7/qdOnUiNzeXtWvXUlxcXGdQ2Llz5wJgGAY+nw+XywXAa6+9hqqqXH311Xtd/iipg4QQYv/aF/XQgaiDAIqLi3nggQfo0qULO3bs4KmnnuKvf/0rd999N1dddVWTj0PqICGE2L8O5WchkHpICCEOdU2thw7bgJHNZgMiJ8zhcDRpXU3TWLt2Ld27d8dkMrVE8UQLOdQ/u0O9/M11uB73wWJvzr/P52Pz5s2xa+6BpigKEyZMYOzYsdxxxx088sgjZGZmMmvWLD766CMcDgc+ny9WL2zYsIEpU6bw7rvv7tPvXvR8tG/fPuEDX0N0XWf9+vV07dpVWuUdQg71z+1QL//eOJyP/UDb23Pv9/vZunXrQVEPNbUOArj77rtxOp1YLBYAcnJyeOKJJ1i5ciVPPfUUZ5xxBtnZ2U0qh9RBLU/O0YEnn0HD5Bw17I9UB4HUQ4cTOUcHnnwGDZNz1LADVQ8dtgGj6El2OBw4nc4mratpGgBOp1NeXh9iDvXP7lAvf3Mdrsd9sNgX539fVf5utxuIVHq7i05LSkra4zaGDx/Om2++yZQpU7jwwgtRVZU+ffrw6quvcvXVV+NwOFBVFV3XGT9+PFdeeSVHHHHEPil/VPR8uFyuJtdBsPMzcbvd8jdxCDnUP7dDvfx743A+9gNtb899dJ19UQ/tzzooKiUlJW4bJpOJk046iTfeeIPZs2dz0UUXNek4pA5qeXKODjz5DBom56hhB1MdFC0HSD0k392GyTk68OQzaJico4YdqHrosA0YCSGEOPR06tQJgKKiorh50WkdO3ZscDvHHHMMxxxzTJ1pwWCQiooKhgwZAkTyd69Zs4YtW7bw4YcfxpYLhUIAvP7667z//vsAfPfdd7EHOCGEEH9M+7MOakg0jVCicSiEEEL8MUk9JIQQYn+Q/l5CCCEOGYMGDQJgzZo1cfPWrFmDzWajX79+zdr2qlWr0HWdk08+GYA2bdqwZMkS5s6dy88//xz7ef755wG45pprYtMkWCSEEH98+7MOAti+fXudBgu7KikpASA9Pb1Z+xNCCHHokXpICCHE/iABIyGEEIeMwYMH0759e6ZPn46u67HphYWFLFmyhBEjRtQZoLWoqIhwOFxnG//5z3944YUX4rb94YcfkpWVxXnnnddyByCEEOKQtb/roLy8PJ5++mmCwWCdZTVN48cff8RsNnPcccftq8MTQghxkJN6SAghxP4gASMhhBCHDLPZzMSJE9m6dSuTJ09G0zSqq6sZP348mZmZjBs3LrbsN998w7Bhwxg7dmydbZSUlPD666+zePFiIJLv+5VXXuGbb77hmWeeaVYebSGEEH98B6IOqqioYMKECZSVlQFQVlbGhAkT2LhxIzfddBNt27Zt4aMWQghxsJB6SAghxP7QrDGMFi1axOTJk1m/fj2qqnLsscdy++23k52d3aj1V61axYsvvsiiRYvQNI3MzEwuuOACrrrqKszmPRfp0Ucf5c0332Ts2LH87W9/a07xhRBCHMKGDBnCm2++yeTJkxk6dCiKonDsscfywQcf0Lp169hyaWlpuN1ucnJy6qx/7LHHsnr1av7+978TCoVwOp0MHDiQzz77bI85v6dNm8aTTz4ZN4bRySefzMSJE1vkWIUQQhxc9mcdNGDAAJ555hm+/vprLrroImpqagiHw/Tq1YsXXniBU089dX8cshBCiIOI1ENCCCFaWpMDRvPmzWPMmDGMGTOGN954A6/Xy6233sqoUaP45JNPYgPf1WfBggWMGTOG448/nm+//ZaUlBR+/PFHbrvtNlavXs1TTz1V77pLly7l7bffbmqRhRBC/MEMHDiwwfpgyJAhsZZzuxo6dChDhw5t8j7PPfdczj333CavJ4QQ4o9lf9VBVquVESNGMGLEiGaVUwghxB+T1ENCCCFaUpNS0oXDYe69917at2/PLbfcgtlsJjk5mUceeYSSkhKeeeaZBrdx3333oSgKjz76KGlpaaiqyvDhwxk9ejRffvklc+bMSbheMBjknnvu4c9//nNTiiyEEEIIIYQQQgghhBBCCCEa0KSA0fz589m6dSunnXYaqrpz1aysLPr378/XX39NTU1Nvetv3ryZTZs20b17d9LT0+vMi7Zw+OSTTxKu++KLL5KRkcGoUaOaUmQhhBBCCCGEEEIIIYQQQgjRgCYFjBYsWABAjx494uYdccQRBAIBli1bVu/6paWlQCSX6u4yMjIAWLJkSdy8VatW8c477/Dwww+jKEpTiiyEEEIIIYQQQgghhBBCCCEa0KSA0aZNmwDqDKQXFZ22efPmetePBoqigaNdlZeXA1BQUICu67Hp4XCYe+65hxtvvJEOHTo0pbhCCCH20vaaCt7asJi1vvIDXRQhhBBCCCGEEEIIIUQLMjdlYY/HA4Ddbo+bF51WXV1d7/qdOnUiNzeXtWvXUlxcTKtWrWLz5s6dC4BhGPh8PlwuFwCvvfYaqqpy9dVXN6WojaZpGpqmNXmdXf8vDh2H+md3qJe/uQ7X4z6QAlqYp377kceWzySghwGwtWnFyA69m7Qd+cyEEEIIIYQQQgghhDg0NClgtLcURWHChAmMHTuWO+64g0ceeYTMzExmzZrFRx99hMPhwOfz4XA4ANiwYQNTpkzh3XffxWQytUiZ1q5d2+x1V6xYsQ9LIvanQ/2zO9TL31yH63Hvb796inh0+wK2Bus2AJiydBYdysMHqFRCCCGEEEIIIYQQQoiW1KSAkdvtBsDv98fNi05LSkra4zaGDx/Om2++yZQpU7jwwgtRVZU+ffrw6quvcvXVV+NwOFBVFV3XGT9+PFdeeSVHHHFEU4rZJN27d8fpdDZpHU3TWLFiBX369GmxQJZoGYf6Z3eol7+5Dtfj3t/yaiq5Y/FXfLR5ecL5J3XuRf8+/Zu0Ta/Xu1eBeSGEEEIIIYQQQgghxP7RpIBRp06dACgqKoqbF53WsWPHBrdzzDHHcMwxx9SZFgwGqaioYMiQIUBkLKM1a9awZcsWPvzww9hyoVAIgNdff533338fgO+++y4WzGoqk8nU7BfQe7OuOLAO9c/uUC9/cx2ux92S/OEQZQEvU9bM5bnfZ1MVCsQto6JwfkZXbuv9pyaff/m8hBBCCCGEEEIIIYQ4NDQpYDRo0CBefvll1qxZw5lnnlln3po1a7DZbPTr169ZBVm1ahW6rnPyyScD0KZNG5YsWRK33Pz587niiiu45ppr+Nvf/tasfQkhxOHMFw5RHvSyvaaCpaX5vLjqZ1ZWFCRctltyJi8OPp/UwmpURd3PJRVCCCGEEEIIIYQQQuwvTQoYDR48mPbt2zN9+nT+/ve/o6qRl4eFhYUsWbKEkSNH4nK5YssXFRWRnp6O2bxzN//5z3/weDyMHTu2zrY//PBDsrKyOO+88/bmeIQQQiTgDQcp83vZ7q2kLFCDXwszbctKPti0lLChxy3vNFm4utsxPDDgdFIsdpYWLt3/hRZCCCGEEEIIIYQQQuw3TWoubjabmThxIlu3bmXy5MlomkZ1dTXjx48nMzOTcePGxZb95ptvGDZsWFxgqKSkhNdff53FixcDkbGPXnnlFb755hueeeaZJo8nJIQQIrGaUIBtnnLmFm5iVsEGlpfvwK+F2FRdzq0LvmDqxl8TBouGtu7EGydcwqMDR5BudyXYshBCCCGEEEIIIYQQ4o+mST2MAIYMGcKbb77J5MmTGTp0KIqicOyxx/LBBx/QunXr2HJpaWm43W5ycnLqrH/ssceyevVq/v73vxMKhXA6nQwcOJDPPvtsj+MfTZs2jSeffDJuDKOTTz6ZiRMnNvUwhBDiD8kTClAW8JJXU0F50A8YuMw2Mm1uyoNenlgxk+/y1iRcN8eRxHU9hnBKm+4MyMjFYbbs38ILIYQQQgghhBBCCCEOmCYHjAAGDhzI22+/vcdlhgwZEutFtKuhQ4cydOjQJu/z3HPP5dxzz23yekII8UdmGAaecIBSfw15NVVUhnwoKDjNVlrb3SiKgm4YfL51JS+smkN1KBC3DZOicGnnozin/ZG0c6XSL70NCioVvhDV/hDFVX52VAfpv/8PTwghhBBCCCGEEEIIsZ80K2AkhBDiwDEMg+pQgLJADdtqKqkK+VFjQaIkFEWJLbu+qoTHln/P8vIdCbfVOy2bO3sPx6aaSTMl4dZTWLytigp/CEMLE/QWszV/C27NDwzaT0cohBBCCCGEEEIIIYTY3yRgJIQQhwDDMKgK+Sn1e9nuraQ65EdVVFxmK1m7BYkA/OEQr66bz9QNv6IlGKfIbbZxVefBDEztwubSStJMKViddraofhxqCF/FDj5evoMvNoI3rGI3Oejcp4wTu7XaX4cshBBCCCGEEEIIIYTYjyRgJIQQBynd0KkOBSjx17CtpoKacBAFhSSLjWxHcr3r/Vy4iSdWzGSHryrh/KNTOnFOzlE4VRtbqivpnJRJ16RM1LCHRRs2897ycubsUDDYGYTyawpT5m2RgJEQQgghhBBCCCGEEH9QEjASQoiDiG7oVAUDFPs95HkrqQkFURWFJIt9j0EigGK/h2dWzuL7HesSzs+0JnFpu2Ppn94ODY3KoI8+riwydY2vFizivd99bKhSAbXOembCaKh0THfuq8MUQgghhBBCCCGEEEIcZCRgJIQQB5hu6FQG/RT7PWyvqcQbDmFW1EhPIueeg0RBTaMmGObjTSt4Z/N8fFoobhmTojIipy9n5/bDqpoJaCE8IS+ZAfhi6So+Xa9TGVSoGygyGGJbydikjzjatpodtKX/wC/37YELIYQQQgghhBBCCCEOGhIwEkKIA0DTdSpDfop8HvK8Ffi0cG2QyE6K1ZFwHd0w8Ic1/CGdSn+ICl+ItZXFfJQ/j62+0oTrdE/K4upOQ2njSAXAG6hibV4xv24IMXu7Cc1QgLrjHx1rW8HNyR8y2PZ7bFp7thBY9iycNmWfHL8QQgghhBBCCCGEEOLgIgEjIYTYTzRdpyLoo8hXzXZvFUE9jFkxkWSxkWqNT/cW1nW8QQ1fSKPcF6LKHyaoaSgohI0w/y1exg9FqzAw4tZ1mW1c0m4QQ1t1Q1UUtICHOWvz+d9ajS2VFhJd/gdZf+PvKR9wrO23hOVXVKkyhBBCCCGEEEIIIYT4o5K3f0II0YLCukZF0E+hr5r8mkqCuo5ZVUm22LCadgaJDMMgENbwhnQ8gTAVvhCeYBjdiPT/sZpV7BaVJLuZX8u28PaWuZQFaxLuc2hmNy5ufwzJZhvV1eXM/L2YGRugMmBi9/GJAI6x/sbfkz9kiH1l/cdhyyH5mDv39nQIIYQQQgghhBBCCCEOUhIwEkKIfSyka1QEfRR4qyjwVhM0NCxqpCeR1RS57Gp6JDDkDYWp9IWp8IcIhnUAVFXBZlZJsVtQ1Z3p4koDHt7ZMJdfy7cm3G+OPYUrOx1PT3cm2wpL+ei3cn7ZbiakmxIuf7R1FbemfMCxthX1Hothb427+0XkKQMxu3Obe0qEEEIIIYQQQgghhBAHOQkYCSHEPhDSNcoDXgp81RR4qwkZGlbVTJLVjkU1RXoPBTWKAj7KfUGqAxqGEUklZzGr2M0qblviS7Jm6Mwo+J1Pty8moIfj5lsUE2e16cefW3Xl9y3lTFq9nlUlFsCScHtHW1dze9oHHGNZXu/x6LZMXL2uIrXbOWjBathS1vSTIoQQQgghhBBCCCGEOGRIwEgIIZopqIUpD/oo8FZT4KsibOjYVDNJFhshDXwhja3VPip8YfxhDQBFAbvZRLLdjGmX3kP12egp5j+bfmaLtzTh/F7JOVyc1Zc1m/yMn5NPkddEfYGiAdY1TMj8gP7qsnr3F7ZmYOl+OTk9z8NktjV8EoQQQgghhBBCCCGEEH8IEjASQogmCGhhKoI+8r2VFPo8aIaOYqiYDTN6GHb4glT5/WiGARhYTCo2s0qa1YKiNBwgivKGg3yyfTHfF/6OkWB+ktnOiLSelGxz8ugCL35NBepJPWdby4OtP6SnsaTe/YUt6YQ6XUqbI8/DYXc1upxCCCGEEEIIIYQQQog/BgkYCSFEA/zhUCxIVOCtxhfW0TXQNRNVAR1fMAQEUACb2YTbZsJkUpu1L8MwWFi2malb5lER8iZcpp+9LeG8Nry/zI5B/UGoYe513NfqQzqHfiVh1IlIoKi67Sha9zyPdsnJcUEtQwuih7ygWpt1PEIIIYQQQgghhBBCiEODBIyEECIBfzhEedDH5qpytnsqqQlq+IMQ1lQ0HRTApOrYLSppzqb1HqpPcaCatzf/wrKK7QnnpyouzAWdWVqSvsftnJG+jnvSPybXvwhCiZfRLGmUtbkIV5dz6ZaRgtVct3eSoWvo/lJQVCyZfdAri5t1TEIIIYQQQgghhBBCiEODBIyEEKKWNxQkr7qajVXlbPFUUeULEw6DzWTGpJiwmlXcVhVzM3sP1Ses63xXsJJpeb8S1LW4+aqhYippT3lxOzAS71vB4LyctYxL/oQ2NYvBn3hfujWN8pwLCbQZQZesdNIcdXsOGYaBHijH0ENYkjtgTumEoVhBKd/r4xRCCCGEEEIIIYQQQhy8JGAkhDhshTSdYq+P7VVVrK4oJc/jIRjWsZrMuMw2UqxW7E51n/Qeqs+66kL+s+lntvvqCch40tDyu6GFHAlnOy0Go9uvZ7TlA9p5lkBN4s3o1jSqcy+iNOM0cjPSOCLFgWW3wJce9KCHqjE5s7CmdUe1JQOgafFBLCGEEEIIIYQQQgghxB+LBIyEEIcFwzDwh3U8gTD51TVsqqhkY3U51SE/igIui43WDje23VKztZSacIAPty3kx6I1icsbskJBF6hqBQnGKcpJMriqwwbONj4kq3IxBBLvR7ek4mt/EYVpZ+B2uuib4SLZbqm7r7AfLVCGak3Fnj0I1ZHZokEyIYQQQgghhBBCCCHEwUcCRkKIPyRNN6gJhvEENEo8frZ7aiisqaE0VI1PC2A1q6RY7WS6UlH3Y3DEMAzmlW7k3S3zqArH540zDKC8DRR2Aj3+Et03y2B0+42c5P+IjPKF9e5Ht6QS6DCK0swzCGGjY5qTnGQbJnVnryJDD6P5S1FUC9bMfpjdbVDU/RMwE0IIIYQQQgghhBBCHFwkYCSE+EPwhzRqghpV/hDFniBl3iDV4QCekJ8K3YNGCKtJIcVhI8vkOCA9aAr9Vby56Wd+q8pPON/wuWBHd/Al15luMxkM6wAXtd3EUeUfkb5jQb370C0pBDpchCfnbCqDJtLsVo7McOKy7rzcG4aOHigHPYwltSuWpPYoZtu+OUghhBBCCCGEEEIIIcQhSQJGQohDjq4b1AQ1PMEw5d4gxTVBaoIaum4QNIIEjCBVeg1+PYiiKLhtFuyq/YClWQvpGt/sWM6XecsIGfHjARm6CkUdobQtu6afy3AanNbF4OysLXQt+oiMjfPr3YduSSbQ/iICuedQFbaghw26ZbrISrLV6UGlByoxwl5M7lwsqV1Rre59eahCCCGEEEIIIYQQQohDlASMhBCHBE9IZ3OZlwq/Rqk3SFgzMDCwmBR0NUxQ9VMc9uANB1BRsZstpJtdB3wsntVVO/jPpp/Z4a9MON+oyoCCrhCyx6b1yDA4o5vBsNQttM//mIzV8+rdvm5OIthhFIG25xDERqU/TCuXmY7pThyWnZd4PeRFD1Zgsmdgbd0Pkz193x2kEEIIIYQQQgghhBDikCcBIyHEQcswDMp9ITYUe1hSFKA6yYPLZsZtMxE0QlSGvOT5q/BpIVQUHGYrGbakA11sAKpDfj7YtoDZxesSzjdCVtjRDaozAAWzajCkHZze1aCXbSttt39Mxva59W4/Eii6kEDbc9FNDip9YUyKTs/WbjJdtligzNCCaP5SVLMTa+ujMLuyURS13u0KIYQQQgghhBBCCCEOTxIwEkIcdHTdoKQmyIbSGkq9QSyqQqpNwW7TqdCqKaqpwq+FUBUFp9lKhu3gSatmGAZzitcydfN8fEYowXygLDeSgk43k2wzOKWzwcldDHL0bbTd/hHpZfNQMBJuXze7Cba/kEC7c8HswhfS8NQEyU6y0zHNgdVsiuxH19ADZWCAJb0nlqR2KCZLyx24EEIIIYQQQgghhBDikCYBIyHEQSOs6RR5AmworaHCF8ZlM9HKbaHMX8OGUClllWYsJhNOk40Mi+1AFzfO5qpi/rVmDgV6WcL5hs8N+d3Bn0THVIMzuukc2xaSgttpu+1jMkp/qTdQFDa5CLa/gFD788HsQtcNKmqC2MwqvbOTSXdaI/swDPRABYYewOJujzm1M6rF2WLHLIQQQgghhBBCCCGE+GOQgJEQ4oALhnUKqvysL63BG9RIsptpnWSlLOhhfUUZnmAA3YBMqxvVdPClUyusqOSV1YtYxxZQ4gM+hmaCok4oZTkMzFU4o6tOj0xw+PNou/GjPQaKQiYnpW3OwdbpYlRLpCdVTSCMP6yTm2KnbYoDS+050UM16MFKTI7WWNKOxmRPbbFjFkIIIYQQQgghhBBC/LFIwEgIccD4Qxp5lX42lNYQ0gxSHGacNpWSgIffy8sIaGHcFhuZNjc1aumBLm4dhq6zoaCCD1dtYI1lHdh8iZerzMRR2oXh7WycOtiglcvA7ssjd8MnZJbM2UOPIgcbWp+B3v4CclytURQFTdOp8IdxWU30zUkm2R5JMWdoAfRAOYrZhT17EKqjVWwMIyGEEEIIIYQQQgghhGgMCRgJIfY7TyDM9kofm0q9GECqw4Ki6hT5q9heWU7Y0HCb7SRZ7ADomn5gC7yLcDjMgvUlfLumhC32TSipRQmXM4I20iq6cm7bdIYOBLvZwO7LJ3f9xw0GirZnncnqzFPpnJxDG1sknVx1IEworNM+1UFuih2TqmLoYTR/KYpqxpJxJGZ3Looql3UhhBBCCCGEEEIIIUTTyZtFIcR+U+kLsaXcS16lH4B0p4UwGoX+CvJ85eiGjttix6o6DnBJ41V5/cz8rZj/rfNS6SiCrI0opnDccoYBrXxtGd2mPUf3NaEqYPftIHfzJ2SW/LTHQFFB9plsan0G1aqDHs4UMq12QppOpS9EisNCr9ZJuG1mDMNA85Vi6CEsKZ0xp3RENdtb+hQIIYQQQgghhBBCCCH+wCRgJIRoUYZhUO4Lsam0hoLqIGaTQobLStAIsd1XRr6/AsOAJIsdi2o60MWNs7W4iukrS5m7JUzI4oWctSiuqoTLJutJjMnuxtEZLgBs/gLabv+YzJLZKCTuJaWpdnbknMmOnLOoUuwEDZ0jXWmkmCxU+EIYhkHXTDdZSTZURUEPVmGEalBdOVjTuqFak1rs2IUQQgghhBBCCCGEEIcPCRiJw4Ye8hKqysNc8SuBwjBmRwaq1Y1isqOaHShm24Eu4h+KrhuU1ATZUFpDqTeI3azSOsmKTwuyxVvCDl8lCpBkcWBW1QNd3Dp0TWfJ5lKm/17JqmJA0aDVFsjcjqLE9xCyYOKizE6ckZmNqijY/IXk5n1Cq+JZewwUFWT/mR05ZxO2JFEdDmEY0MeVjg2VkpogmU4rHTOcOC1m9LCPsL8c1Z6GLWcwqj1DxikSQgghhBBCiBZQ6q/h15LtLK/cTmtvZ9olpR3oIgkhhBD7hQSMxB+aYRjogQrC1dvRPNvRdR0DFSNUQzhYhWGEUIi8dFdMdlRrMoo9DZPFhWJ2oJjtKCbrAT6KQ0tY0ynyBFhfWkOVP4zLaiI7yUZNOMCG6iIKA1WYFIUUqwOTcnAFiryBED+tKmbG6hqKvbXBGHcp5KxHsfoTrnNsUisuy+5MqtnayECRbZdAUTIA5aEgVlXlCGcKoaCBoegc0cpNK7cN9DDhmh2oJjvW1gMwu7JRDsKeWEIIIYQQQghxqDEMgy2ecpaW5bO0LI8lpXksK8tnW01FbJmnCpcwZ8RYuiRnHriCCiGEEPuJBIzEH5Khh9F8xYQqNmIEKkG1oNozI6EhUwWqNQl1l5fuhmGAHkQPVWP4SgijgwEooJidqLaUyE8skORAUeXPZ1fBsM6OKj8bSmvwBjWS7Gayk2xUh/2sqS6hJODBpKikWZ2oB1mgqKC8hv/9VsJPG4P4wwqggDkA2RtQUooTrtPaYufq7K70cadh8xfRZuuntCr+EdXQEi4fCRSdwY6cc2KBIoCycACXyUJHqxufXyc7yU6HNAdWk4LuLwVDx5LWA0tyewleCiGEEEIIIUQzhXWN1ZVFLCmNBIeWleaxtCyf8qBvj+sV+T18vW0VNx85bD+VVAghhDhw5I23+EPRQ17CNQVolRsxtCCKxY3qzIql7jL0xC/zFUUBkw3FZINd3skbho6hBdH95Wg1BYBOJIqkoJhdqLbUSCApGkQyOw673h++kEZ+ZSRQFNJ0Uh0Wku1mKkM+fq+qoCxQg9VkIs3qQj2IUqgZhsFv28qZ/ls5y3boGNQGijAgPR9ab0IxxX9fTCicldGWkZntSAqW0mbjyw0GigqzTie/zTmELSl19l8aDpCiWmmNEzMqPbJdpDksGMEqtIAXc1J7LKmdUS2uFjoLQgghhBBCCPHHUxMKsLx8B0tL81hSls+ysjxWlBcQ0MLN2l6f9Jx9XEIhhBDi4CQBI3HIi6SdKydcnYfm2Y4BmGypqPb0vd62oqgoZjuY7bvtU8fQAmi+YrSaPDAiAQdFMaFYnJFAkjUF1eKMpLUzO1AOsl41e8sTCLOtwseWci+6AWkOC2aTQmXIy9rKciqDXmwmCxk210E11k4gpPHL2mJmrKpme1W0XLX/t3sgZy2Kszrhuj0cyVyT05VOeMnd/CqtimfuIVBkrQ0UjawTKALQDYOycJAkw0pr1UmHFCdtU+2YdT+atwSToxX21v0x2SVPthBCCCGEEELsSbHfw5LSPJbW9hhaWpbH2soSDOLHn20Ku8lMZ2sytx11Cidmd9lHpRVCCCEObhIwEocsQwuh+Utq085VgMkWSTu3H3r4RAJJDjA76pZJ1yKBpJpCwtXbdlnehGpNjvzYU3b2RjLZDrlAUqUvxJZyL9sr/ahKJFCkqFAR9LKtupzqkA+H2UqGzX1QBYpKqwN8/1sRP67z4wlFexPVUjVotRkytpOoyG6Tmb+07sTJdpV2eVNpVfxDA4Gi09iRM5KQNTV+vmFQEvDjxkIXdzI9Mt0kWw10fzFYnNiyBmJytj7kvhdCCCGEEEII0ZIMw2CTpyw2ztCS0jyWluWR763a622nWh30S2/DURm59M/IpX96G7q5M1i5fAX9u/Q/qJ5thRBCiJYkASNxyEmUds7kOji6hyuqCUV1gsVZZ7qhhzG0AOGafIzqzYAChoGqWlBsKbU9kty7BZIOnhtSwzAo84bYVFpDoSeI2aSQ6bJiYFAW9LDNW0aNFsRlspFpTzrQxY0xDIP1BdVMX1nKwu1hdGO3QBFAUglkr0exBhJuY2hKa65KTeWIwi9oXfR9vYEiXbFQmHUa+W1GErIm7hkUNnTyvT6yzA6ObZ1J22QrarAcPahiyeiFOamtjI0lhBBCCCGEOOyFdI3fKwpjwaGltcGhqlDi57amyHWm0Dc9h6Mz2nJURlv6Z7ShvSst7hlc0xI/+wkhhBB/ZPJmUhwSdqad20bYkwco+yzt3P6gqOZIIGC3sWgMLYQR9hMObMHQQ4CCooBisqJYk1FtaZFAksmOanaAsn//ZHXdoKQmyPqSGkq9QZxWE62TrOiGTnGgim3eMgJ6CKfZRivbwRMoCmsGCzaUMv33CjaWRafuFigy+yFnPUpyacJtZFsdXJvZmtPLptN6xfeoRuJc15FA0anktzm33kARgDesscPn5cikNI7PzsCteDCCHszJHTCndIp8vkIIIYQQQghxmKkO+VlWtoNlpXn8WpbHktI8VlUUEqxnDOLGUlHolJROv/Q2HJ3RloGZ7RiQkUuGXcaIFUIIIeojASNxUEuUds5kb7Vf0s7tD4rJgmKyAO7YNMMwQA9hhLyE/eUYRhilNtihK1ZMVXkEihXMVmekJ5LJiqKYQTWDYooEpqIBKsXUrJ5KYU2nsDrA+tIaqvxh3DYTOck2woZOgb+Sbd4yQrqG22zDbbE3vMH9pMoXYubvxXy/poYKf33HbUB6Hqaszehq/AOIWVE4NzWT//P+QtvVMxoIFJ1SGyiqP3BpGAbl/iCVWojhWdn0S7VAuBTVmYU1rTuqLbk5hyqEEEIIIYQQh5wCbxVLy/JZXLKNX0vzWF6ez6bqsr0cbQhsqoluya3om57DURltGdSqPUdltMVhtuyTcgshhBCHCwkYiYOSHqoh7ClAq9qEoQVQLEkHTdq5lqYoCpisKCYrsLPXjmEYEPKBHsDwlxH2l4KhY6CjGAaGEgkrGdT2pVFUFNTabdlQzDYU1QZmO6rJGgkqKaadwSXVTEhT2eEJs6HUiy+skWw30ybFTkALk+crZ7u3nLChk2Sxk2w5eHrEbC3xMn1lCXM3BwjpCdLO1bK4qnC0X0e16kFPML+3w8Xd+m8cs+UlVCOUcBuNDRQBhHSdEl8QqxnOy21Fe7MfVbVjzR6E6sg8qNIOCiGEEEIIIcS+ohs6ayuLWVQbGFpWls/K8gJKAjV7ve0ki41uyZn0Tcvh6Mx2HJPZjn5pbbCa5RWXEEIIsbekNhUHjd3TzimoqLaUQybt3N4yDB0j7McI+zDCXoywHz3s3fnvkA897Mdco2EYHTA7MxvcHrqGYWgYeggj4MfQNTC0nYEmwDAUgrpBicdPYXWAkKGSbLeTYXXgC5rYFtbICwXQFTNJFicW1QKajqGbQNn1R90/J6qWrhss2VLB9N/KWVUUDf8kDsCku0K06riZdeRTnWB+kmriZlM+VxR+iqneQJGZotYnk5d7HiFrxh7LZhgGnkAYn6bRyq3yp1QbmTYVS1o/zO42f5geckIIIYQQQojDm2EYVAX9LCvL59eyPJaW5rGifAdrK4vxaomfrZqitd1Nl6QMeqVlcXRGO45t3Z5uSa1wmC3SAE8IIYRoARIwEgecoYUI+4oJV246ZNLORcYe8qKHfXUCOpFp/tqAz855etgXmx+dXmfd2t8bwwUUb3wG1dEKS3oPLGmRH2taD1Rn69hNs6KoYFJRqL8LvjcUprAqQH61HwwLSe5U3KqBNxxgm7eKHUEviqGTbFIwY0CQWC+mKAUwFBUwgWrBUCO9l1AtoFgwTBZAjQSVVPPOZRUTNOMz9gY1flpdwoxV1RQ30Dite6ZO1w7FzA1vZG04mHCZs0xV3Ff+MemGJ+H8aKAov815BG17DhQBBMI63pCGxWLQ3hVicEoyma16Yklqj2K2Nbi+EEIIIYQQQhxsQrqGXwtR7Kvh19Lt/Fq6neXlO1hTWcxWTyQTxd5QFYX2rlQ6uTPolpLJUem5DGndgVxXKm6LDct+eD9gGAbFniDrS2tYX1LDumIPW/MquSq5lJO6tW7x/QshhBAHAwkYiQMmknZuB+GqTaAF90vaOa2mAJNnLYEdZaAFYsGancGbXXvz1A36RHr8RH5HTzyuzf6k+4oJ5BUTyJsTm6ZaU2qDSN1jgSRTUttI8GgX1YEwO6r8FHsCKAqk2MyYTCoeLcQWv5fCoB+AFFsypt1abe2eW9oAMHQg0nNJ0f2g6ZFphoaSIBv1ziCTCooZTBYMxRIJMqlWDNUS6bGkRMZhwlAo9wSZPTePORv9+MP1tyQzqwZD2sGgjj5+8G/gW09ZwuU6KkEeqfmGwaGtic+vYqK41XDycs8naNtzby4A3TCo9ocxm1TSHEHSLBrH5BxBWmZPVKu7wfWFEEIIIYQQ4kDSDR2/FiaghfGFQ2ysLo2NM7SmspiN1aUU+BLlbGgau8lMJ3c6nZLS6ZKUyZFp2QzMaEuOMxm3xYbTbEFtoQwWhmFQUB1gfUltUKj2/+tLathY6qUqEP+s/97aBcy+6XgGd0hrkTIJIYQQBxMJGIn9qm7auXwUFFRbCoq95XpeGFoA39YfqFn/KaGSFbiB8vUttrsDSg9WEihYQKBgQWyaYnZiSeuOOa07YXdXSkztKVFyMJstpDosqKpCdThEvrea4qAfFYVUsxW1Kd37Y8Gfxi0eCTIZRINM6CEUI1AbeNJRalunVfoUFhZaWZBn5fdSCwYB6ttJss3glC4GJ3XS+cWbx4vFWwkkaOVmRWdsYCF/9S/EmmAko52BovMI2lo16nj8IR1/WCPTbqCqVaS7MzimwyDc7qzGnRAhhBBCCCGE2I/8WojysJ8tnnKqwgFWVxSyvHwH66tK2Vgd+akM+fd6P6lWB12SMujkTqdzUjpdkjPplZpFtiOZZKsdt9mK3Vx/VozG0nWDsG6gGQbBkM62Si/rS71sKKlhQ6mXTWWRn63lPvzhpvWGCusGczaVScBICCHEYUECRmK/MLQQYW8R4arNGIFKMFkx2TNbNO1c2JOPd/1neDd+iR6oaLH9tBhFRTE7UMxOFLMD1ezAAEIVm1CMxOnVEjHCXoLFSwkWLwUgGUhSLWiuzvjcnSiytWOHvS0+Z3vSLK6mBYr2hqIA5rj4T4kXFubBwu0Ka0vBaCAK1THV4IxuBse2hc2BKp7csY5tAW/CZYeGtzHR+z3tjaq4eZFA0Ynk5V7Q6ECRZhh4/GFsqk4nVwCf2UJWZh+OatMHu9naqG0IIYQQQgghREsL6RpVQT8VQR+bqkuZvn0t87atpXT7HDbXlOPX9j6LRltnCp2TMujoTqeDO40uyRm0cSSTYXeRaXORZLXhMlsx7+E9QDTwE9Z1NB3Cuh4JBNVOD2p6JA14MMy2Sj+bS71sLvexvdJHfqWf/KoABdV+glp8povmUhU4s6ekpBNCCLFvGXoYQw9B9P9aCEMPRYY70fxoQQ9qzXag/34tlwSMRIuqk3ZOD9Wmnctusf0ZukZgx1xq1n9KIH8u8QnUWoZistUGduyxAI9idqBadv4ena/uMl+xOFF3CQrF1jM7wGSLG8RT1zXWrF5Flxw74Yp1hMrXEipfQ6h8LUYo8Rg8CcurhzBXryGpeg1JQBfAQMXrbIvX2YkaV+TH6+yIZnbu25OVQEF1JEi0IE9hY3nDASsFg4G5cEZXgx6Z4NVDvF20mZkVBQk/8VZ6DRP8P3FmaF1c+CkaKMpvcx4Be+N7BHlDGsFwiGxbkDSnhQpbGzpkdKFPZrv9kl9bCCGEEEIIIeqj6TrVoQAVQS+FPg87vNUsLNnK7MJNLCzZSlDXmr1tk6LSOSmdbsmt6OROp50rhY5JGbjNVpIsNlo53CSZ7ThUK1bVhGaAphsEgwY+f4iwHiQQ1glqGoGwXvu7QTCsx3oJQSRYVOwJkl/lJ7/Kz46qADtq/19QHSCst8zzvllVyE6y0S7VTqYaYPyIo+iZldQi+xJCCPHHYhh6LPATCQaFIoGhsL/2x4eu+UHzR5YxjNh48Yph1A7RERn3XddCqKGK/X4MEjAS+1y9aedMLZd2TvOX4d34Fd71n6LVFOx5WcUK1iQMswPDZMcwO9BNdjSTnZBqJaTa0GunWywuXLYknDY3Nqsbh9WFanHuDPpYnCgme4v2lIqjmDCndMKa1hU6/RmInHOtJp9Q2Rr8ZavxlaxGq1iLqQkXFQUdl3crLu9WWpXMik332bNrg0idawNJHQlbUvbqEAwDtlXV9iTKU9hW2bheTU6LwUmd4NQuBq1ckeOeW1XM1MKNVGqh+GMyDP4SXME//L+QTN1eWQYqxa3+RF7uBU0KFIX1SK8it+qjfZKKM7ktpZYUuqTk0Cs1C5PaMrm2hRBCCCGEEKI+uqHjCQWpCvop8ldT7K/Bp4VYWprPL0WbmVu0GW+CZ6aGOE0WuiZn0jUpkw6uDHIcKWTaXZgwoaDgVG24TQ4sWDCFTeghlW1VBpruRzN8tW/AIJI7QsGonWBSFVQlMhZsUXWQgupI76C8Sj95lf5Ij6GqAFoLBYWsJoXsJDttkm3kJNvpkOagV1YSfXKS6ZbpIsluRsVg6dKl9G+3d8+/QgghDm2GYdQGfnb2BjL0EEY4iKH5YuPeo/kxtMgyKEqsCjQwUDCBao5MD/sxQjXoYS9GsBo9UIkerEIPVmFEfw9UoQWrsBtpaL6zMe3HYS8kYCT2mVjaucpN6MFKFJOtRdPOGYZBsGQ53nWf4Nv2Q+SPcQ+q0/oQaj+CdYE2tO/YqcFy6YZBpaZRoGtoug4KWBSVNNVKhtmG22zBpZqxt3CwyDB0jLAPI+xFC4dQgmVovmKwpaKa7QAoioJmz6Y4KY08vT96io7basKmV6BUrSdYuRq9ai2umk04gyVN2r/DX4DDX0BG2dzYtIA1ozZ41BmvsyM1rs4Erem1aebqOw7YVB7pRbQwDwo8jQsS2c0G/bMNujrL+dMRqTitkfUKgz7eKFjPypqKhOsdoRXzsO8H+muFdcvRzECRYRjUhDT0oI9cl0ZGahZqUjtKdeie3IruKZktNjCrEEIIIYQQQuzKMAy84SBVoQDFfg9FPg8BPYyu66yqLObnwk3MKtxAdSjQ6G2mWhy0d2bQ1pFOG3sqGZZk7KotEuQxwIYZR9iB6nPiMFmwmCzYMKEYoKsKihIJBLmsKiY18juAP6xFgkAVfrZV+Nhe4WNbpZ/tFT4KqgO0UEwIh0WlbYqDnGQbrd02cmqDQx1THXRr5aKV24bbZsZlNWEzxz/Xa1rze2EJIYQ4+Bm7pYKLBoT0kA9Di/QGivzfD4a2sw0EBrquQ9iPHvZCyIserokEgYIejJCnNugTDQRVogdqA0LBapqSEcsKlP1wE9nnfNwi5yARCRiJvZYo7ZzZldOi+/Nt/o6adZ8Qrtywx2UVixulw+n8lnECSWldMGFgbNnaqP2oioLTbMa5y59JSNep0sIUewK10WFwmMxkWGykWa24TGZcJjPmvehlYhhG5GIU8mIYIRQUFGsK5tRumC1JaCVOzEk5GP4CNG8FvqBOUcDCDq8CKCTZzVhMFsKGTkHQyVZbF3yZHXG1PgunyYw5VI3TuxlXzUZcNZtw1WzC7t+B0oSLlS1Yii1YSnr5op3nxpy0Sy+kyI/PmsW6MpWFtUGiEm/jgkQui8HRbeCYXIPeWWBWDHYU+LCbUwkbOl+XbmdayTZCRvxgpQ4jxN/987gyuAwLO+dHAkUnkJd7PgF7076fId2gxucjxeQjOzONpMwuhMxJlAZ99ExtTeekjLj0gUIIIYQQQgixL/nCIapDfkr9NRT6PXjDkSwKZsXEhuoSZu7YwA871lEe9DW4LRMK7cxp9ExvTztHOjn2VJxmC2E0FMCsqrjNNjJsblJtdhwmKzbVXO9zjy+kRQJClbUBoYpIQGhrhY8iT+PH4G0ql9VEu1QHbVPs5KbYyU6ykemy0tptI91hwWJSSXNaSHdaSbZHgkMOi6ne49DDPoJFSwkULsJfsBB38XY85r+Q0u/aFjsGIYQQ+46ha3VSwUV7BunhAEbYB7GUcIHIdE2LTAt7MAJV6KEa9JAn8l42VIMeqsYIetCD1XV7AYWqIcF7yZYQrli/X/YTJQEj0SyGYaD7ywhXbSXsLahNO5eKYrK22D5DFRuoWf8pvk3fYoS9e1zWktYDZ7cLUNqexLzqGqyKillVMfYiTzOARVWxqCqYLUDkPAR0nYKgn23+GgBUFFIsFjIsNpItkSCSw2RC3VPvGy2AHqoBLYgBqBYX5uT2mOzpKNakWE8iTdMwLClY0rtTFejMlqIiijwF2AI7SDX5MakKwbCd/JDK9oCPgKHjNplpZbHE9hW2JFGV0oeqlD6xaarmw+ndEgsguWo24vBtRzUaf74s4WpSK5eRWrksNs2jOzCFOqEHO2GnM7+ZO7MhnItGfOutFFtkXKJjcg16tgLzLjE3vfb6u9pbyX8K15NfzwPQ8NBG7vfNIteo3nluUSjJPIHtbS9ocqDIMAxqAiGUUCVtk1xkZvXG4m5NQDMoD3rpm55De3d6k7YphBBCCCGEEI0R0MJUhwKUB7wU+KqpDvkxAItqwqlaKPbXMD1vLd/vWEtx7fPonqgodE/Kpk9SBwaktKO8KJ/s7FwUFSyKmRSrg1SLE6fZitNkxbxbNg1PIMz2yl16CVVEUsdtq/BTUtNyQaFkmzkSFEq10y7VQbvUSHCotduGzaQQ0iJttVUVUmwWMlxWUuxmXFYzTqsp1tNpd4YWIlj6G4HCRZGfgoWESn+HXZ6DrUDZzDlYUtrj7Hh6ix2jEEKI+hmGvjMVnFYbDDLCGOFArCeQFvRiBCrQ/aW1gZ3q2mBP9S69fjyxIJAerMaoXY4mvP88ENz9btyv+5OAkWiS+LRz9pZNO6eF8G//kZp1nxAsXrrnhVUrjg6n4Op2AZb0XugYLK0sJ6zrpNoigSxNNyj0ahjlPlQl0mVeYWcmNUUh0qMHJTZNVXZOr/2PWCwjurwCVkwogA6U+oLk1fjQawcus6gq6RYb6RYrLrMFh2Jg1wOg+QEDxWzH5MhCTcpAtSZHxldSFcKAYigoociFS9c1KgIaC7dVUOINYzXZSG3VFZPSlUCokuLqHeRVbUELVpNkMpFktoOyM1hUH93kwJN0BJ6kI2LTFD2E07u1Tm8kp3cLJr3xDwJu1cdg2+8Mtv0em+Y3rKwOdeD3YCc20wlTeifa5LajS2sr9dzHUxUO8pG3iEWV1QnnZ+ke7vf9yKnhjUQ3EQkUDSMv9wL8jjaNLnNUMKzh81WQalPJad8VZ2o7VJONmnCQmnCAgZntyHYmN3m7QgghhBBCCJFIWNeoCgWoDPoo8FVTEYw8U5oUFZfZSiubm/XVJUzPX8uMvLXs8FU1aru9UrLpm9SB7s62ZNgdGGoYTddxqzZ6JGXjstpwmKyoikKVP8S2Uj/bK6pjaeO2VvjYXuGn3Nf0MZAaK81hiQWE2qZEA0ORIFGK3UIgrOMPa/hDOtSmyHNazWS6rKQ7rTitJlxWExZT4mwfhqETKl+Lf8c8ggULCRT9SrBkJWiNS9kXKlsFEjASQoh9Sw+jh7woYSOWEk4PB9D95Wi+InRvIZqvBN1fFknvFvLUBoCqd/6+y7SDPfATx2RDtSZHfmzJqNaU2v8no1hTwGRjhyeJ9r3/ul+LJQEj0Sh60EO4pmC/pZ0L1xTgXf8Z3g1foAfK97isyd0WV9fzcHY+C9W2czDKzTXVFAR8ZNscsWnFNUHK/RquoIaq1k3CZhi7/Msgbp6x27ymJCALGQG2h8oI6oHIYD6KgtWWhtuWhduejsWSjC1ow1ylAj4MIoODKkptOWp3qOs660tCHJkeJjvJiqIo+LUQeb5q8nzl6IYZd9qRWA0NJezBCJShhCoiXSQVMzQygARgqBZq3F2ocXehmJNrJ2o4fPm4ajZh82xEqdhMWmATLvbc42tXdiVIf+s6+lvXRSYEwdik4i1sh9fZEY+zM5vs7VmqpLLG72ONr4q8gDdhwjzV0LkiuIxb/PNwE3l4iQSKhtYGinIbXa4o3TCo8VZh0YN0aJVDZlYXVIsbgOqQn4AWZlBmezLsriZvWwghhBBCCCGiNF3HEw5QGfRT6KumNOCNNTp0mq1k2tyoisKm6jI+27KC6Xlr2Vqz5+fjqJ4prTkuswtdHLnYDDuqSUdXNBRVJ9eRTshvYmZpDVuWlLG9KjK+0PZKH5X+PY8NvDcynJZYIKhdqp220aBQih23befrqbCm4wvtDBD5QwGsJpV0p4XMDCtumxmnxYTdEt9w1dA19LCfcOVGAoULCRYuJlC0lFDZ7xihhnthJaLa0nF1v6jZxy2EEGInw9DxbfkfnjUf4d7xO0XrlUjvn2jqt1B1g+PUH3RUC6otpTb4s2vQJ3nn9GhAaJdpSm1GqfqEgx70tWv300HsJAEjUS/D0NH95ZG0czU7UBS1RdPOGYZOYMd8vOs/xZ//857zQCoq9jZDcXa7AFv2MShK3VZEJUE/az3VtLLaY7mJvcEwO6oDuCwKTosJtb7uLPvmYGCXHkQoCjhSMKxpGGY3uslO0DAI6GGK9ACKVoyqK7gtDtIsDlxmW8Ic0ZqmU+FQSXFY8OshCn1V5PsrMAxItth3SRlgxjDZMGwZoIdRwh6UYAVKoBQMT6Q8JieoTfssvWETP5e0Y2Fee5YV/ImgpgAG7UyFHGndxJGWjbH/Z5oqG7XNMApr1AwWh1NYVONgcUChUC0H9vwg1DtcyMO+H+itF0dOOQqlGcezve2FzQoUAfgDPoL+KtKT02nTph82Z3rs/FcEfBiKweBWHUjdJQgphBBCCCGEEI1hGAaecIDqUIBCXzUlvhqCuoaqKNhNFtKszth4uNtrKvho8zJm5K9lfVVJo7bfNSmTk3O6cXRqR8JBKzXBEIaigSmIy+KgrbMVNmy8Om877y/NQzcAPPv0GFu7rbU9gxy0q+0p1DbVTtsUB05rfIBH0w38YY2SmiCaFmkmaFYVUhyRNHSJxh0ytBCG5kPzBTC0AKHqPIKFCwgWLSVY+jvhinXogYq9OAoVc1I7zBm9KNPb0e2UezC7m561QgghxE56OIhnzftULXmOUMlyIJL2s+USmjaDat4t6JNSG/SpO23XAJBiS0Yx2Rs1trlhGJFeULX/18O+yPvv2h9jl3kAejgASuKesy1JAkYiTsK0c87WcUGZfUULVODb+BU166ehebbvcVnVno6zy0icXUZidmUnXManhVleVU6S2RK72TYMg7xKP1ZVwdcSgSLDACMEmh9F10ABw+TCcLbFMLswzE5Qd/bsUQAbYDPtnKYZOgEtzNZQWe2Nu4FNNZNicZBsceA0W7FixqeH2OgpoijoQQGSLI7YcSakmjGsqRjWVHC1QwnXoASrUALFEPYAKpjsoNp25ubbRXUAFufDwjyFlUUQ1ndfRmGbls02Xzb/9Q2JnhAGppdxZquNHOPcRHZ4I66azdiCxdRgYZkpi8XmNiwytWGpOZsapfGBK5cR5Fb/XC4LLseEURsoOq42UNS20dvZlaaF8HkqMFutdOrYj/T0bBRl58NMqb8Gq8nEwMz2uC22Zu1DCCGEEEIIcXgxDAOfFqIq6KfEX0OR34NPC6GgYDOZSbLaseyS3r3QV83/8tcxI38Nv1cUNmof7VypnNamByfldCVZSWJbpY8yTxAULzarida2ZLIcySSZ7SzYVsGj/1tNfpW/2cekANlJttreQXVTx+Wm2LGb609XbxgGgbCOL6QRDBuRFO9KZNyhDmk2Uu0WXFYzDouKyQhhaAEMzYvu9xPy1KAHq9G8RYRKfydYvpZwxXpCFevQvUXNPh4AkzMbc1o3rOk9seUMwZ57PGZXDrpiJn/pUkyurL3avhBCHM40fwXVK1+jevnLhKu27J+dKqa4oM7ugSB1l2lKdDmzo07gJxLgqQ3ooEfGUqoT4NExQl6MoCfybyKznC5NAAEAAElEQVS9hFEiDdt3DpsBSm3GKRRT5B27agbVjGKyoihmMFkj7yJNVhTVjKKa0Q3QStftn3O2CwkYiZhI2rkdtWnnwi2ads4wDEKlv1Gz7lN8W/8HDYyLY209AFfX87G3PRHFVH9KNc3Q+a2qEs0wcFp2fr1La4J4gmFSbGYa1++lMQcRgrA/cq4UA0N1YNhboZuTIwEiU9MCCyZFjQwuys7gSVAPUxnyURyItPoydJ1tgRLaB5yk2ByYmhrEU0wYlmQMSzI4c1E0b23wqAQlVB65rKl2yoN2Fu1QWLhdYVUJ6EbDQTYFg24ZMCjXYGAutHKlAUezJdSH//kqWeOtYp23nM0BH3voO1YvmxHm9NB6bvf/Qo7hiaSeyziOvNwL8TnbNWOLgGHg91UQDIfJbN2JNtkdse4WECr2e0i22OifkYvT3DK964QQQgghhBB/DP5wiOpwgFK/lwJfFd5wJHW2RTXhMltJsdbNVlAaqOGH/PVMz1/DsrL8Ru0jx5HEKW26c1puDzq5MiipCbGtwsvmUBlmk47bbqONozWZNjd2k4Uqf4iHf1zHF781LghlUiAn2R4LCrVN2RkcapNsx2pu3HNoMKzjq00rZxgGihLJ9pGdZCfVYcZpCuNUw1gIoYer0IMedE81oVANQS2IoYUJV28kVL6eUMUGQhXr0Kq3QcKE5Y2j2jOwpHbBnNoVS3oP7FmDMad3x2RLQbG467YQ1w6xsTCEEOIgYRgGYc92qpa8gGfV2+i+xvWUjaOouwV1dgv21OkFVJvmzeKOBH7qCfDU+beyM5Cjh6pRQpGx0+sMRaKYIqEfkxlUC0rtDyZLJNCjWlBM5sg0RY0EfVTTzt8VFRRTnXmN7ZShaRqGpXF1974kAaPDXFzaOVVFtbZc2jk97MO3ZTredZ8QKt9zDkbF7MTZ6Uyc3c7HktK5UdvfVOOhKOgny7YzB6Q/HCavykeSbS+/7oYWSTGnB4mkmbPEeu5EehDZE/bQ2RtW1YxV3SWXc1ijQrWRanGg7m2PL0Wp7f3kAmcOJZXVLNpUyaItPtaVEo2J75GqGPRsBcfkGgxsAyl2gx1BLyu9VayprGKtt4qiUPNar6XpPo7W8hkYzudobQdHakVYa0NNpelD2N72QnzO9s3aNoAWrMbr82F1Z9G9c1eS3cl15huGQZG/mky7m37pbbCZ5HIphBBCCCGEqCuohakOBagI+ijwVlMV8qNjYFYiAaLWdltcmprKoJ+ZO9YzI38Ni0u2ozciAJJpc3FKm26cmtuD3qnZhDSdIk+QhdvLqQx6sVtVst1uch2ppFh2prb7YX0JT/ywnlJvKG6bFhUGtkujfdrOwFD7NAc5STbMpqY9b4Y1HX9t7yHdiCThsKo66Tbo5NJxmjQcih+bUYMe9GBU+DD0MFrklR4GRmTc5IoNhCvWESpbQ6hy/V6NY6FYkrCk98CS0gVzSifMqd2wpHTC5MrGZE+LvFjcQ4NUIYQQTWPoYYJlq6ha/Cw166dhhOpPe6o6WuFz9SU9qwMmWwqq1Y1iSUK1uFEsblSLC8z2yNtJQwcMDPTafju1fXl2Hf892qdHD0AwhFEnwBP5HTUS2FFMlroBHkWNBHlQUVRT3QCPUjvtMCJvQA9ThhasTTu3eb+knQtVbca77lO8m77Z48UCwJzaFVe3C3B0OB3V4mz0PooDftbWVJNp3XlDbhgGOyr9mBQFs6qg601oiWTou4xDBCgqhiUFw9q2tgeRY7/nkVQVBXUfBqV2VAZZtNnDws01bC4N1E7d8/ZNikGfrEiQqG+OTolezRpvFa+XVLHOV4VHa94NfbbVQXdHMt2dyfSwO+kSKsLtVXF6Q7g8HvwBg4qU7uzIPXevAkVofnzeKkLmZLLb9yInIxPTbin9dMOg0FdFG2cKfdJz6qSJEEIIIYQQQhy+wrpGdShAZdBHoc9DedCHZuioqLgsVjLt7oTPbJ5QgJ8KNjIjfw3zirei7WnM3lqpVgfDc7pyWpse9Mtog0lRCYQ1tlX42FhejSfkJ8lmoUd6Jlm2ZFzmnc/CJTVBnpy5nh/Wlybcdr+cZC7tovKnAb0wNTE4pBsGvpCGL6gRDocwtBAqYVKtOlmWAC7Vh5Ma7ErtM6YfMIxIeh3VgqFa0IMeQuVrCZX9TqhsFaGyNRjaXqTKM9mwpPXAktETc0oXzEntMTmzUM02VGcWJmerSGv0JrxjEEII0Th62Ecgfz6VSybj2zJjj5mkzMmdcPYYhaXVUVRu2Yajc1fMJkssRRu16diUWICnNkWbyRLXU2dngEfdmeottkwLjl3/BycBo8NMnbRzWhjF2oJp5/Qw/u0/UbPuE4JFi/e8sGrB0W44rm4XYMns0+Q/aq8WZkV1Ocm7jFsEUOENUuEPk2pvxFfdMCIBIt0f+R0FLG4Me1akJ47JWXsxOnQZhsG28p1BoryKxg0tZzVBv2yFPlmVuJLL2Bzy8lPAx5ubawgZTU8HYEKho91Nd2dyLEiUslu6N689GW9SVwB03WBHwQ5ysnNQmzsGlREi7K/CEzbjSutJl5w2uG3xPek0Q6fIV00Hdzq9UrPigklCCCGEEEKIw4du6HhCQSqDPor8Hkr8NWi1z0BOs4V0m7PeVOH+cIjZRZuYkbeGX4o2E9QbTnHmNls5Kacrp7bpwcDMdrHnW38ozJZqLxvKqvBrIVo5HfRIa0u61VUnG4JhGHz1exH//GkjVYH4xnxOi4mxQzty7pFZrF+356wfALqu4w/48QYChEIBdC0Emg+X4ifL6ifFHMZpB6fZQFVVFKV2PAbVDqZkFEVF8xYTLF8VCQ6VriJYtgojWNXgvuulmLCkdsWS0QtLeiRAZHK0AiXS8ly1pWNyZaHaUlGtSYddy3AhhNgfDMNAD1Ti2zydquX/IpA/F/YwCIW1VT+c3S7CmtEz0osouTOhymwc7Y/GZLZIgOcgIgGjw0C9aefsLZN2TvMWUbPhc7wbPm8wR6XJlYOz63k4O5+NyZ7WvP0ZOr9VVcSNWxTSNPKq/LitpvovOnoQtACKHo4MSGZyYthzMSzu2jRzh373dMMw2FgSYNFmD4u21FBYFZ+KIBGbBXq1V8lsXUPAWsGGmiIW+SqguOllcKgmutUGhro7kuniSMK2v27aDR1CldQEDUL2trRt157sFFfCVn9hXaPY76FrcibdU1rtfdo/IYQQQgghxCHFMAxqwkGqQwGKfB6K/B6CehgVBZvJQqrVgXkPzzJBLczc4i3MyFvD7MJN+LSGn78cJgsnZHfmtDY9GNyqPdZdAkDeUJjtFV7WVVSBYdDOnUQ7dxrJlvgxbfMq/Uz6fh3zt1Yk3M9xHdO4e3hXspPtaNrOl3qGrmHoQQwtRDDkx+v34/N50cNe0ALYzRoZNoV0OzgdKi6rBavVhqImR9L97PJspQcqCZb+Xic4pPua8RAZo2BO7oAlvRfWjJ61AaJOoIfRwz5QFFSzHZMzG5MjM5Jmzty08YSFEEI0nqFraL4S/p+9/46z667v/PHn6beX6UUzozKjYluWi2RLtii2gQRSwMYBEsiXYmcXEhZTFnY3NmG/7Bp+m7Be/KUEYhLjOEsoMZCCCRhsTLNsS9iWbNWRNGozo6m3l9M+vz/utKvpkkb183w89JjR53zOuefcufeUz+vzfr3y+79D9pWHcYZ2zdk/0PpqQl13osfaUI0weqILPdxYyUtXh1DUOcZtJecFKRhdwkzazh0es50LLpntnBA+9snt5A88RunELyt5P7OiYLXcRLjrrVhNN57xbJ9D+RyDdrkqtwgh6MuU8YXAmFpeLzw0L49ij4CqgmohAnX4emzMZu7SuLH0fcGBgRLPj4lEI/mF2MQJgrECzc0F9EiWAW+IF50inMbEr1rdqqoearNmFmiWFCHAzeG6NhnqiDe2sbYuSdCY+bRney5D5TxXJBpZGa2VFyuJRCKRSCQSieQyoeg6ZJwSw6U8J4s5Cl7FiSGgGkR0E1Ob28bM9T2eHzrGE737+VlfNzl3ficHS9W4uXEFr29Zw80Nywno1ZMVC7bLodEMR9I5NFVlbaKWxmCMyAxiiOcLvv1SL1/+VQ8ld/rs7nhA52OvXcVvr6lHUZTKrHA7DYVjDB/PYbsOrl9JsTVVQU1QoyNqELZMIoEwQXPmiZS+W8QZqghDzsge7OHdeLnj8x77XGjhJoyaSuWQWXsFRs1aFD2EcIsIJ4cQPsItoAXq0JNdaFa8EnAun98kEolkSRFuGSd3nNzuR8jv/VbFvWo2VJ3Q8jcS6rwdNZBENSLoyS70UOPkOLA3f9Wt5PwgBaNLkJlt51qW6LUyFA79gHz39/CyR+fsq1oJQit/n1DnW9AjZ2d/BsslDuSz1FnVQaKZsstwwSY+bkXnlcEroPjgahG8aBeKGQY1UElHuwRwfcHeviLP9+T4zdE86eI8J17VhWAGK54lnMiRU1OUhMthqHhMLxAFaAvV0BWuZXUwyhpDpb5iUo1QTNCD5/499orgFsj4MfxQJ6sa66gLTw+bHafkOozaBTbUNNMeqTm3+yqRSCQSiUQikUjOKWXPJeuUGS5XBKKcU0IIMDSNsG4RMwPzbsMTPi8Mn+CJ3v082XuAtDP/Q5SuqGxu6OANLWt4VdNKwvp0149MyWH/SIq+bIGoYXFdXSt1gcisuaqHhvP8zycOsKs/O+Py31pTz8des5JkyER4Dm5pFC/XSyafJZXL0tZcT0cyQiyoE9IVQoYy43OT8Byc9EGc4d0T4pCbOTwWRH56qFYSo/YKzJp1Y/Zya9ECNWOvZ+M7eYSdxbezqGYMPdGJFkhWqoi0i98NRCKRSC4G/HIGO3WQ3Ct/R777e/iFgVn7KnpowklK0U1UM46R7EIL1kt70IsIKRhdIlRs50ZwMkfx8v1LbjtnD++h0P1dikd+jPDKc/Y1664m1PVWgm23oGhnb38KnsvO8dyiKVVTrudzPF0kqIPq5kA4oAYR4eW4eoxSvh9h1qAsMtjzQsR2fV7prYhELxzNk7fnuFnXyxBKQyiDHsngWZUHCnvsHwuMIjJVjZXhBlZHG+mKNtIZaSB0yoOO65VR3BxKeQTFSVUeIhQd9AAoS3hj7zsoToYSQTL6KhpqGuhIhjD12S9Kedcm55TZWNdGUyi2dPsmOats376dBx98kO7ublRVZfPmzXz84x+nqalpQevv2bOHL33pS2zfvh3P86irq+Otb30r73nPe9D1yUuj67o89dRTPPbYY+zcuRPXdbEsiy1btvBnf/ZndHR0LNUhSiQSiUQikUjOEo7vkXXKpMpFThYzpOwSPgJd0QjpBg2B6IIqVHwheHm0jyd69/OT3v0MlwvzrqOisKmujde3ruG1TatmFaOGCiX2D48yXHCoD0S4uWk5CTM0q1OD4/l8/flj/N1zx3D96Q9zDRGT/3JrJ69aUYNw8jipE3iFk+B7pLwAwkxwVX2WG9oiqKcM4gnh42aO4Azvxh4Zyx4a7Z4zxHw+FCOMkVw7Zit3BUbtFWihxon3XQgf4RTwCgMgfBTNRAs1ooXqUc0YqjF3lZdEIpFIzh7j48zlwZfIvfIIhcOPz5k9pwZqCa95O8H214MiUM0EZrILNVS/JE5XkqVFCkYXOdW2cxkUfQlt59wSxaM/IX/guzgju+fsq+hBgst/m3DnHRjJrrO+L+O5RUJQlVsEcDKVxi+mCQd0fKsOEahH6BFQVPBOf/bThYLtCZ7vybHjaIEXj+cpOTMpPQKswphAVBGJFHNyxttiij5jeoCuaOOYQNRER6h2Inh1VjQLoVkIqxZ8F8XNo9ijKOVhEFlAq4hH6lmyABQeOBl8dFJaO3qojnV1MWpCcwuUWadEyXO5sb6d2kD47OyLZMnZtm0bd911F3fddRcPP/wwhUKBj370o7ztbW/jscceo76+fs71n3vuOe666y5uvvlmfvjDHxKPx/nZz37Gxz72Mfbu3cvnPve5ib4PP/wwn/vc57j77rt54IEHCIVC7N69mw9/+MPccccd/OM//iOrV69e6kOWSCQSiUQikSySvOdwNDfKkF1guFzA8wWqAiHdpC4QWbBlthCCfelBfty7j5/07qe/OHMlz1QU4JqaVl7fuppbm7uosWYWO4QQ9OXyHBzNkCv5LAsnuLolScSY+znplf4s/+OJ/RwcnlmwumN9Ex+8qZ0QOeyhl/HLGRRVQxgRhooKiaDKVXUqx0sCIQRurneiasgZ2YMzshfhzi+GzYpqYiRXTxGH1qFH26eNUwi3hOfkEcJBQUG1atBj7ahWAtWMytnoEolEco4ZH2cu9T5Dfu//pXj0pxXXplnQou1E1r2TQMvNCN9GtRKYiU4pFF3kSMHoIsW3c7i5XtxszxTbueYleS03e5T8ge9ROPyDOdVkAD2+knDnHQRXvBHVWLoB+EP5HAN2iebA2I237+I7OfKlMkMFQbimE9dKXBKZRJ4vODZqc3CgxK7jeXae8HH9U8o/FR+CGQhlJgUibSG5RdNpDsTpGqseWh1tpNGKnZkftKojzDjCjEO4DcUtoNgZlPIQuCOAAlrg9OwBhQA3i+J75IwmClodLckoy+LB6uyqGUiViwhFsLm+g4QVPP3jk5xTXNflk5/8JO3t7Xz4wx9GVVVisRj3338/t9xyCw888ACf/exn59zGX/zFX6AoCp/5zGdIJpMA3Hrrrbzzne/koYce4i1veQtbt24FKg/x69at4+Mf//jE+ldccQWf/OQnufvuu/n85z/Pl7/85aU7YIlEIpFIJBLJohkpF9iZHySTihI2LJJmaP5Jb6dwMDvMEyf28UTvfo7lUwta56pEE69rWc1tLV00BqOz9nN9j2PZLEdTBVxHpSNcS0dtHEObe4im5Hj89TNH+OYLJ5ihqIi2RIA/f20HG2rK+KmXsD0bVQ+iBmrwBAwWfNpiGqsDQ9jdPyF0+BcM7DmGKC/s+GZE0dDjKyfEIbNmHXpiFYo6/ViE7yKcPL5bBEVB1QPo0WVowbqKzdwM+UwSiUQiWXrG402KR39KYf93KPX+ak7LUaP2SiLr3oXZcA3CLaGaEYxEJ2qwTgpFlwBSMLqImLSdO4KXPzlmO5dECZx9iy/hu5R6f0XhwGOU+5+bu7OiEWi7hXDXWzHrr1nysMmBcokD+Qz1VgDhFvGdfOVkFKjnWNlCrYmgWBevn3Gq4NI9UOLgYInuwRKHh8rY7ilPA5pTVT1EIIuiLtBTbupmFJXl4VpWR5tYHWmkM9pAzFhC8UTREEYUYUQh1AJeAdXJopSGUJxUxRVPtSoC0nwXGDcPXhnXrGGURkKhCOtrw8QW8H0YLuUxNY3r69qIGvP7k0suHJ599lmOHj3K+9//ftQpD/2NjY1cc801/OAHP+C+++4jHJ5ZsO7p6eHw4cOsX7+emprqvKqtW7fy0EMP8dhjj00IRtdddx0rV66ctp1rr70WgJ07d56tQ5NIJBKJRCKRnAWyTokdQ8exVJ3G4HS7tbk4mhvlid79PNG7n0PZ4QWtszpWz+tbVvO61tW0huJz9i24DsczWXozJUwRYGWkidZwpOq+djaeP5bi/p8c4ER6elaSpsAfbqjjvesEhnMAL6uimBE0s2K5XXQE+dwQV5V/QejQTxgZfhkAgwU7k0++VrStkjk0VjlkJNeg6jM/UwkhEG4R4eQQwkdRNbRAHXqyC82KoxiRJR8/kEgkEsnMCCHwy6M46SMUe35E4eD3sAdemHMdq+UmwmvfhRFfifAKqHoYo+7qMaFIns8vFaRgdBFwLm3nvOIQhYP/Qv7g9+cMMQPQQo2EOt9CaOXvowVrz/q+zETBc9mZHiLiF1FLBTDGFOxAkuMZj6woUHcexSIhBJ4QeMLDET6u7+EJH3fsd3fsd094uL5P2fPoS5c5ninRly5zMlsmZ7ugiErVkCIg6U/+X3Mr1UPW6dkDhDSTrmgDXZFKBdHKSD3mDDO/zgmKAnoYXw9DsAm8IoqTQy0PozhpQCAUE/QgMOWzPpaPJMwYGbODshKhLRGkNR5AW8CD1mApR0Q3ua5u2bTsJcmFz3PPVQTsNWvWTFu2du1aduzYwUsvvcRNN9004/rDw5UH//HKoqnU1lbOYy+8MHmDtHHjxhm34zgOAIlEYuE7fxYRvotaOIKTqQEzBJqFolsomiVn80gkEolEIrlsKboOO4aOo6sKwQU+5/QVMvxkTCTam577GXic5ZEkr29Zw+tbVrM8WjNnXyEEGadMbzbPcM4hpIS5IlpHQ3hhmTzZksuDvzzMP7/cP+PyrhqT/7JRYXVsGEVYKIGaiUE7xc3h9z1N/eBPWZH+DeDjLOhVK6ihhglxqFJBtBbVnDv3VXg2vlOZ3CcA1YyhJzrRAslKFZF28U7ulEgkkksB4bt4xUHs0QOUev6dfPc/46YOzL6CohHseAPhtX+EHmrAd/KoRhij4WrUQK0Uii5BpGB0AePb2THbuSNLajsnhMAe+A35A9+ldPxnlTyYObCaNhPuugOr5aYZy8yXCsfOsWv4BL7vE40tQwvVoxiVcNJc2eVYKkdyjuoS1/fYMdLDgcJxdvWl8BATQs6EqDMm5Ez+HBN3hD/ZLny8Kb+f+v/Txqr8O5un2TozMiV/qJHWYHLBXt3nHC2I0IJ4gfoxUSiPUh5BcUZRXAfNy6HYI6BblEOdjPpR4kGTtTVhItb8n0MhBAOlLHWBCBtqWrDmsXuQXJgcPnwYgIaGhmnLxtt6enpmFYzGhaJx4Wgqo6OjAPT39+P7/pwzPccri37rt35rEXt/9nCdEiczh1g2qBM2dEBBIFAUHcUIoRphFCOKaoQqItLEP/mALpFIJBKJ5NLE9lxeGD6B7XkkzSAzyysVhkp5fjomEu0c7VvQ9ltDcV7fsprXt66mMzr/TGrX9xktFxjIl8gXFcJEWB+PEg8sfNLaz7qH+F9PHWQob09bZqjwnitU/nC1gxmIomhjQo5Xxhr+NcGTP8Ec3oYqFiYRKWYMc6xqyKxZh1F7BVqwbt71hPARTqGSeSR8FM1ECzWihepRzRiqsTBhTCKRSCRLi+8UcPP9uCN7KPT8iMLBf8HL987aX9GDhFa9mfDqt6MYQXCLKEaYQP3VqFMmJ0guPeSI6QVGle1cYQBFUVHNxJLYzvl2jkLP4xQOfBc30zNnX8WMEVr5e4Q734IebTvr+zIbwnfxy2nwHQ45CqPBVloTy1C0yZtsXwgOjeQxdBVtltwaT/g8sO/HvJIZOxHmzsXen1sUFNpDNZMCUaSRGmvpcqSWFM1CaBbCqgHfRdhZ3NRuvFA7aaUGoWh01odpjFoLEsB8IThZzNASirO+phlDhqdetORylS9vIDDd9mK8LZudPYh4xYoVtLa2sn//fgYHB6mvr59Y9swzzwAVcbFYLM5qawfw6KOP0tTUxLvf/e7TOo5xPM/D8+YW6Wei4Ngc8DyKBZ/OcIC2UAhL1SrnTN/BL4wg/H6E703cxAkUFM1CNSOoRgSMMKoemBCTUE15w7fEjP+tT+dvfiFwse//mXA5H/v55kzfe/k3k0guDzzf5+XRPtJ2kYZgFN+f/t1PlYs81d/Nj0/s4zfDxxdkxdYQiPC6ltW8oXU16+KNC7pXKrkOI+UCqaKDXTYIk6AjFiayCCeM4bzN5352kJ8cGJpx+fpa+C+bDJbXRVEUDXwXc3gbwZM/xRr6Bao3vyOFYsYoRa+lYfWtWHVXoYVbFnwvKNwSvpNHCAcFBdWqQY+1o1oJVDOKIp+3JBKJ5IKgYjuXxssewx7ZR+HwDygefhy/PDrrOqqVJLz6Dwh13gEI8EqoZhSj4RpUKynHDS4DpGB0gSA8Gzd/EjdzGN/OVmzngvVLYi3kjO4nf+C7FHv+HeFN9z+eilF7JeHOOwi234Yyiy/x2UYIgXDyCCcHqoYeWcawnuBoJkVTIIpyyqz/k9ky6aJDXWT2gMzvHf/NpFh0iWCqOp2RerqiTXRFGuiMNBC8FC3WVB1Hi5FSm9D8WuojFstrQ4SMhZ2+POEzUMzSEanhikTjgmzrJJcuiqJw33338cEPfpBPfOIT3H///dTV1fH000/zne98h2AwSLFYJBicPcvr+9//Ptu2bePhhx8mFpvbkmM+9u/ff1rrlZwcKpDrH+BprxdVUVhuWNTrJsZsN2/CB+GCcFF8F3BRhEAoSuWnqiPUSqUfWhihWaAYCNUE1QBFPvifLXbt2nW+d+GMuNj3/0y4nI/9fCPfe4lEMhtCCPamT9JbyNAUrL43yzllfj7QwxMn9vHc0FE8Mb9MVGOGuK2li9e3rObqmpYFTVAbt53L2iWKZfDKASJqgrpogJC58HsoIQSP7xnggacPkSm705YHdXj/BpM71sVQERjpXQRP/pTA4FOoTnre7St6kEDrqwl2vAGj4Xr2dx8m2L563pwn4bsIJ4/vFkFRUPUAenQZWrCuYjOnz/4sLpFIJJJzj/A9/OIQTvowTmofhYM/oHjkRwi3OOs6WqSVyNo/Irj8TQiviPCKaOEmjPhKVCshhaLLCCkYnWcmbOcyR8BfQts5r0zx6JPku7+LMzT3A7eiWQQ73kCo662YNWvP+r7MRqWaKFUZzDTjGPUb0IN1FAS8PNBD3AyinzLYX3RcDo/kiQdnn631SvoE/9b70hLv/cIQQgGhgFAnfipCQVc0LF0jqGuEDJ2QoWGoGpqioSsquqqiKxoaCoGSz41t6+iI1E17Py52hBDYno/tCRx30t5PRWCoCmsawjRGgwu+SLm+x0ApS1esntXxelSZ7XLRE4lEACiVpovd423RaHTObdx666088sgjfPWrX+XOO+9EVVXWr1/P1772Nd773vcSDAZntaPbvn07n/rUp/jLv/xLNm3adIZHA6tXryYUWrxNRzo3wosD21je3o6mKpR9j5RjM6BqrA5HabKmny/nQghRqebzbfAdhOcgcAAHhWLFf14PoRhhVCOCYoZPsbq7BMXqJcDzPHbt2sX69evRtItPgLvY9/9MuJyP/Xxzpu99oVA4bXFeIpFcHBzMDHMoO0JTMIaiKPhC8GRfN//U9wK7Dj2B489vGx4zLG5prohE19UuW/B9lOt7pOwiJddDuAZuKUJIsaiNmgSMxZ2zetMlPvvTA2w7mppx+Y0tBp+4IcIyDhE4+A2CAz9FKy8gc0k1CDRvIdjxeqzWV6GOTQSdqQprHCEEwi1WJnIKD0XV0AJ16MkuNCuOYkTkwKFEIpFcgPhuCS/fj5s+jD2yh8Khf6N07Kk540eM5BoiV/wxVutrEHYG305PCEVaIHHudl5ywSAFo/PArLZzS5At4eZOUOj+HoWD/4pvzz3jSI92EOq6g9CKN6Gacw+4ni0mq4myoBro0Ta0cDOqFUdRFDzfZ9fQUYSA0CnVM0IIDo8UUBUFYxYrupRd4KsHn66yG1BRuDq+DEPTKiLMmCBjTPw+JtIoKppaEWlyJcFIzmcw4zGQcRnN+WPijzpNAJrzJwphS6WzPsCqhgCd9QFW1lsLnnXmez5Hjh6hI1w3Z77KxYDj+TiuwPZ9fL/yF1IUCBgayYBBLKAT0DUsXUFX4EBpkIaIteAHE9tzGS7nuSLRxMqoDOG7VFixYgUAAwPTH47H25YvXz7vdjZt2jRN8LFtm1QqxZYtW2ZcZ+fOnXzgAx/gvvvu401vetMi93xmNE07rQHQ8XU0VUFRNQKqRpNuUvI8XsllOVwq0BWK0RgIoC1UKNV0YOZKUuF7CN8BL49vpxA5h4oRZgVFs1CMyJiYFJmwumNMTFqKatmLmdP9u18oXOz7fyZczsd+vjnT86VEIrk0OZ5LsTd9koZAZKIS6IFXnubbh1+cd92wbvLqplW8oWU1N9S3L8q2uuDaZJwSvgemCOIXdCzVoD5iENAXd97xfME/7ezlS7/qoehMF7dipsJHNpR5i/lvhHb/FL1wdP6NKipmw3UEO95AsO21qOb8VfHCs/GdPHjlymQhM4aeWIUWSFaqiGQWpkQikVyw+OUMbu4ETuYI9tAuiof+lXLftjnXsZpuJLLuXRgN1yHKKfzyMHq4BT22XApFFwCe75OxS+S86TmGS40UjM4hE7Zz6UP4Tm7JbOeE71Hue4b8gcfGTg5zlN0rGoFlrybc+VbMxuvP2aC68JyKgCVcVCuJnrgGPVQ/bZZ6d2aIoVKe5lB82jaG8mWGcjZ1kZlntvvC56sHnybtVJdbvi6yij/sehXqLCJTtuRxaLBE90Dl36HB8ow37gtBVaCtxmJVvUVnfYDOhgCNMeOyEi98v1I15Hg+jjf5WTQ0lYipUW+ZRCwdS1exdHXG2XxzzX6biZLrkHKKXF3TTHuk5oyPQXLhcMMNN/CVr3yFffv2TRNt9u3bh2VZbNiw4bS2vWfPHnzf57bbbpu2bPfu3dx999187GMf4w/+4A8m2sdnvV8oBDSNgBak4Lm8mBkhVjDoisSoNwMLslOZDUXVxrzopwtKleokB+GVce0s5JyK/R0KAoGi6ChGCNWIophRVCNYXZ2kylsRiUQikUgki2egmOWl0V5qrDD6mNizJ3VyTrHIUnVe1bSC17esYUvDcgLawu9DfCHI2CWKnoOh6kT9OOkCeIpOU9jA1Bf/XH94pMD/+PF+dvXPnMH5hvqTfCrxNZr6frOg7Wk1VxJe/gaC7a9DC9bO2VcIH7wCXmEAoagomoEWakQL1aOaMVRj8VXwEolEIjl3COHjF4dxMj24hZPY/TsoHPw+zvArs6+kqATbX0dk7TvRE5345RR+aQg90oIRW45qTR9/lZwbbM8l59pk7CJDpQIj5TypcpFUcZSt53hfTnuUZvv27Tz44IN0d3ejqiqbN2/m4x//OE1NTQtaf8+ePXzpS19i+/bteJ5HXV0db33rW3nPe96Drk/uluu6PPXUUzz22GPs3LkT13WxLIstW7bwZ3/2Z3R0dJzuIZwzptvOxZbEds4rjVA4+K8UDn4PL98/Z181WE941ZsJrfp9tFDDWd+XmahUE+UQbh5UHT3WgR5uQjFjMwooJ4tZDmSGqA9Mr3ayXY9DwwXiQX1W8eXfeney+5Tcog3xZWw22yb+7/mCY6M2B8fEoe7BEiczzmkfYzyoTVYPNQRYUWthGZfPzHrH87FdH9vzGbcHVxQIGRq1oYowFNA1AoaKqalLIpzlXZucU+a6mlaaw/JCd6lx44030t7ezo9//GPuueeeiUq7kydP8sILL/DmN7+ZcDg80X9gYICampqq68rXv/51crkcH/zgB6u2/e1vf5vGxkZuv/32qvZ9+/bxvve9j3vuuYd3vOMdVcvuvPNO9u3bd7YP84wJaTohTSfvuuxIDZM0TDrDMerMhVfpLRRFUUAzK4K/EZ62XPhuZcZqaQSR70fgwVhtkqKoKJo1WZlkRKrEJDTzshLYJRKJRCKRLIxUuciOoRPEjSDWmOgjhOD/vPLzaX0NVWNLfQdvaF3D1sYV05wr5sP2XFJ2xaI3pgcJiRijWUEOhfqwMavbxVy4ns/Xn+vh754/wUxzExv0DJ+Of5nXW8/D7HETABSDy1FaX0/rmt/Cii2bs6/wymNVRHYlz0k10GvWYQRrUM3o2AQhiUQikVzITC1I8EqjE0UDXnb2ClRFswit/D3Ca/8ILdSIb6fwioPo0TaMWAeqdWb5zJLFIYSg4NrkXZtRu8hQMU/GLSEEHMuneG7wKL88eYju7DBhVWf5ypW8oe3cxcaclmC0bds27rrrLu666y4efvhhCoUCH/3oR3nb297GY489Rn19/ZzrP/fcc9x1113cfPPN/PCHPyQej/Ozn/2Mj33sY+zdu5fPfe5zE30ffvhhPve5z3H33XfzwAMPEAqF2L17Nx/+8Ie54447+Md//EdWr159OoexpEyovNmjS2o7J4TAHnqJwoHvUjz2JPjTgzGnYjZuJNz1VgKtrzpns7rHq4mE76IFkhg1q9ECtXNmXuSdMjtHeknMkFsE0DNaxBNgzlLuvy/Tz3ePV8/CShoh3tZ0Ezv3D/L80DAHh8ocHipju/MHn86EpsLyWovOhgCrxqqHasOzC1iXEuNVQ7bn43qCShVbxRowauk0WTohU8PSVQK6inaO7POyTomS53JDfTt1gekD15KLH13X+fSnP83dd9/Ngw8+yIc+9CEKhQL33nsvdXV1fOQjH5no+/jjj/ORj3yEW265ha985SsT7UNDQ3zjG99gy5YtXH/99ZRKJR599FEef/xxHnrooapMoYMHD/Le976XZDLJyMgIX/jCF87p8Z4pYV0nrOtkXIfnU8PUmRad4Sg15rkLJlZUfdbrTWVma8X+RJRGEcJFGTufABU7Oz08ISaperBic6dbKKopBzUkEolEIrkMyTtltg8fI6jrBPXJ5+un+rp5ceREVd93rLiGP1mzmagxs+3uXOScMjmnjKFqNAcSuGWTgZSLqijUhgz00xCKhBC8cvwk9z95mO7RmZ/d3xH+Mf81/ihRtTDrdtxAE9m62xhM3MqqjjUsi2ozPocK4SOcAr6bRxECRbfQw81ooXqEFsZL7cWIdUj7TolEIrkI8O1cpSAh24NfSlM8/jSF7u/iF4dmXUcxY4RX/wHhrjtRzSh+uSIUGdF29HjHOYskudzxfJ+cWybv2gyV8gyV8pQ8FxCoqJwsZfnVycM82dfN4dxI1bp53+VTL/7owhaMXNflk5/8JO3t7Xz4wx9GVVVisRj3338/t9xyCw888ACf/exn59zGX/zFX6AoCp/5zGdIJpNAJYT8ne98Jw899BBvectb2Lq1UmwlhGDdunV8/OMfn1j/iiuu4JOf/CR33303n//85/nyl7+82MNYMoRbxi0MjNnOZVH00JLYzvlOnmLPv5M/8F3c9ME5+ypGhNDK3yXceTt67NxUZFWqibIIJw+aMVZN1IxiRucVVFzfY9doHwKqHgDGGS3a9GdL1IVnFpyyTom/7n4KMcWKT0Fhg7KR+753kkpcztx5TjNRG9Yr4tBY9lB7jXlatgMXE0IIXF/MUDWkEDJU6sOTVUOWvnRVQwuhMutPsLm+g4QVPC/7IDk3bNmyhUceeYQHH3yQrVu3oigKmzdv5lvf+hYNDZMVk8lkkkgkQnNzdUXn5s2b2bt3L/fccw+O4xAKhdi4cSPf+973puUfffOb32R4eJjh4WG++MUvnovDWxJiukFUqwhH20YHaQ4EWRGKkjAWN8P2bKMoKugBlFmt7lyEb+MXBvC84yB8BAogKkKUHkQ1IyhGFNUIVVvdSZ99iUQikUguOUquw2+GT4CAqDl5/2B7Ll/Y88uqvnV6kA+s2ULQWPhEGU/4pO0Stu8SMwKsijRQLKr0Djloiktt2ERXF/+8IzyHfG6Yv3mmh2/tdZjJ8Lxd6+Mzya+wJfDyzPtm1lCqv4VS420MmOtAUbi20aQmWP1MOrWKCEVBtZKYsXa0QHLsebzS3/MWZ/stkUgkknOPEAK/NIKbOYqb78Mvj1LseYLCoX+ujLnOghZuIrz2jwit/D0U1cAvj+KVhjCiHeixDlQzcg6P4vKj7LnknDIZp8RQKc9IuVCp7EVgqQaWpnOymOWnfd082XuAI/nRObe32OroM2XRgtGzzz7L0aNHef/73z9hBQTQ2NjINddcww9+8APuu+++KkugqfT09HD48GHWr19PTU11tsjWrVt56KGHeOyxxyYEo+uuu46VK1dO2861114LVELILwSm2s4J30E14+jhlrP+Ok6qm/yB71Ls+XeEO/uMIwAjuYZw150EOl6Pqi9+RtXpIDy7Uk0kfDSrBqNm7Vg10cIH7ubKLXI8n4NDeSLmzJU8Qgi+dujnjDrV782r4ut56tcLv7E3NYUVY7lDq8Ys5pKhSztnw5uSNeROyRoydZWIqdMc0AkaGoGxrKFzVTW0EEbKeQxV4/q6ttOaPSi5+Ni4cSOPPvronH22bNnCjh07prVv3bp14hozH/feey/33nvvae3jhYaiKMQNk5huMGLb9JUGWBYIsyIcITqDOH++qVjdGbNeP4TvInwHv5RCFAYRvguqgiIARUFRLRQjgmqMVSjpgTGbuzFB6TKoBpVIJBKJ5FLC8T12jvaRd2zqg9UDXd/ueYkThepJgW+rXT1hVzcfZc8lPTYBrSUUJ6FFGM0JDo2U0TWfurCJtkihqDKJMo9XGOT5nj7+8nmXE/np21DxuCvyr9wT+xZBtTrY2tcjlOpeTanxNuzEtfiKxmDeJ2mqXN1gEDLUOauIFDN2zsYCJBKJRHL2EJ4zVpBwGN9O4xUGKRz6V4o9/w7+7FEaeqKLyLp3EWyvZDP75RGEEOix5eixdtQZbOQlZ8a4vVzOtRktFxkq5cg6ZXwEKgpB3SBhBtEUlT3pAZ7s28mTvQc4XlhYMUODHuR/Xf87S3wU1Sx6BPy5554DYM2aNdOWrV27lh07dvDSSy9x0003zbj+8PAwwERl0VRqayuhjC+88MJE28aNG2fcjuNUvhyJRGLhO3+WEcLHK4zgZHrwioMoirY0tnOeQ/HYUxS6v4s9+OLcnTWLYPvrCHfdgVFzxTkZEBuvJvKdPIpmosdWoIebTsv/8mQxS3dmeMbcIoDj6SJl16dmluqiH/W/woupY1Vta6PN7N5VD8xu19cYMyazh+otltVYpzVz7GJACIHj+9iuwJlSNaQqCmFTIxE2iVrGhJ2ccR6rhhbCYClHRDe5rm7ZOVfcJZKLEUVRSJoWvhCctEv0lgp0hMK0ByOE9YtHGJ+wutOnVxQK4YPvINwirp2GrAv4IMarkwwwwqhmtFKhpAerq5Ok1Z1EIpFIJBcUvvB5ZbSfwWKOplD1c+ZoucDf7n+2qu3qZDM3RBrn3KYQgpxbJueWsVSD1fF6AgToTzu8ki1haAr1URN1kc9CwvfwyyncXC+ZbIq/eSHN94/FGbfcncpao4fPJr/M1eaka4hQTUq1N1NqfB3lmhtAq1RIOZ5gqODTEdNZnfDQvBSePXcVkUQikUguLnyngJvvx0sfQnhlnOwxCgceo3T858DskRpmw/VErvhjrKYbQXj4pYqtWUUoapNC0VnE9b2x/HSbwVKO4XKesucCCpqiEtIN6gIRVEXBF4JXUv082XuAJ/sO0FfMLug16gNhbmnu4qa6dqyhHNfWti7tQZ3CokeGDh8+DFBl+zPOeFtPT8+sgtG4UDQuHE1ldLRSftXf34/v+1UVTKcyXln0W7/1W4vY+7OH4mYpnfglildA1UNowYazflPm5vsodH+fwsF/wS/PXZqmRZYR7ryd0MrfRbWmV+YsBcIrT1YTBeqwTqOaaCp5p8xLIydmzS3KlByOp4okQzOLAodyg3z72PNVbTE9QGN2PXuy5ar2rgaLdc2hifyhaODSHBz0ptjJef7khcXSK1lDMUsnOJE1pC36Yeh8IoRgoJSlxgpxbe2yBc8elEgkFVRFoda08ITgWLHA0WKe5aEI7cEwwYv8+6Qo6kQl0UwI361UxBaH8HK9CDwmcpMUFUULoBoRFDOKaoarxCRU44IW0SUSiUQiudQQQrA/PcjxfIqm4PRJiX+zbxt5t7oy58NXvArl5Mwzd13fJ2UXcXyPWivImpplqL7J0dESA7k8lq7QcBpCke8U8YpD+Pk+1OwBdnQf5f6DVzHgJab1NXH4YOw7/Ifo9zEUD6Fo2MmNFBtfT7luK0IPVfXP2z6ZQoE1iTLLQ6CKAJqsIpJIJJJLAiFEZaJB9jhe7ji+8HFH9pLf9615CgcUAm23EFn3LszaKxCeg1ccQEFFj69Aj7ahGqE51pcshJLrkHNtMnaJwVKOlF3EEz4KCqaqE9RNEubk++wLwc6RXp7sO8CTfd0MlHILep3GQJRbWzq5rbmLq5LN+EIwVMwyMDK3w9hSsOgRoVyucpCBwPQbkvG2bHZ2tWzFihW0trayf/9+BgcHqa+vn1j2zDPPAJUvSrFYnNXWDuDRRx+lqamJd7/73Ys9hCo8z1u0d6/neShOFq8sMKPNE/ssxJl7AAvhY/c/R6H7u5T7ngExk7vxGIqK1XIzoc7bMRs3TQhWvr90XsRC+Ag7h+8WJ6qJtFDjREiaD3AaXsiu7/HScC++L7AMddoxuJ7gwGAOS1NRhMD3qlX1gmvz5QNP4k15vxTgd5Kb+cefVYtFbTH4L29oQp8S7Ol7c7zPFxD+2PH5wocpb5FAYHsCx/WxfTFRNaSpEDF0GkIm4cCknZw5U0Cr8PFnn6xwXvHG/j7jP30hGCjlaApGWZ9sRkeRHtxLyPh7ezrvsfy7XPhoikKdFcD1fXoKOY4U86wKRVgWCGNdogHIE9VJMyB8r2J152QRpRGEcFAmZgQrKJqBYkRQjDCqEa0M0GgWij5udSdn9EokEolEcjY5nB2hOzNEQ3B6Hu7B7DDfO7Krqu2NrWu5ItHIvlMEo5LrkHaKKKi0ReK0BuO4rsqhoSKD+TRBQ6Mxai5qYojwfXw7jZvvRxndQ2j4lxQGXuL+3tfxg+LMFsjXmnv5/yW/TKdxAju+gXTj6yjVvwZhJk7ZdqVaerRg46OwqTVJU32nrCKSSCSSSwThu3jFoYrtXGkEgUK5/3ny+/4RN31o9hVVk9DK3yGy9o/Qo21j9nX9KIqGkehEjy5DncGJQzI/vvApuA45p8xoucBguUDOKQHKFHu50LRCB0/4vDh8gif7unmqr5uh8uz5UlNpCcW4tbmL25q7uCLRiKIolFyHwVIWRVFYFk4QDSysKulscs6nECuKwn333ccHP/hBPvGJT3D//fdTV1fH008/zXe+8x2CwSDFYpFgcPYP9ve//322bdvGww8/TCy2eNuzqezfv/+01lOBnp6jCPPs/NEUN4sx8kvMoafQ7ME5+/p6DLv2Ndi1r0GYtZAG0t1nZT9mf1EHxcsBAqHH8QPNCCMGIzlgYUrpXPSU0hwv56g1ggzNsPxkwaU355EIqNOWCyH4TuZlBu3q/dgS7OBHz4qqgk1dhbesUzlx4vgZ7/P5wvMF3T1HcDyYqptZGoQNlaCuEtDAUBVMTUEtKZSzUJ59kxcN3d3d+EIw4hVpNsKIQJFXjs30iZEsBbt27Zq/k+SiRVdV6q0gju9zIJ/lcCFPVzhKSyCEcQFlli01iqqNWdJNnxgjhKhY3Xk2vp3D849TmSqhIBAoio5ihFCNaKU6yai2upvJikYikUgkEsns9ObT7E71UxeIoM0gkDz4ys/xpzzxWarOn667eeL/QgjSdomCVyakmVyRaKTeipIvC/b05Rku2oRNjabo4vINfbdcGdwb2YV18iniI7/CyOzl+4XX8D/THyPlT7dYDylF/nP8//L2xkPYTb/PQMOt+IFJ2zwhBLglfK+IIgRoBsNegnhdkmuXNxMLy4ByiUQiuRTw3RJevr8iFLkFQKV49Cny+7+JXxiYdT3FiBLuuoPw6rehBWsRno1bODkmFK0eE4pkxelicHyPvGOTdUoMlfMMlwqU/UqkiaFqhDSThsD0CStQqVj+zfBxnuw7wM/6DjJiL6wSqC2c4LbmLm5t7mJNvB5FURBCkHHKFNwyIb1yv9IUjGEoKi9q/Wf1mBfCogWjSKRyk1IqlaYtG2+LRmfOnxnn1ltv5ZFHHuGrX/0qd955J6qqsn79er72ta/x3ve+l2AwOKsd3fbt2/nUpz7FX/7lX7Jp06bF7v40Vq9eTSi0uPI8z/N45blelq9YjjmPL/JcCCFwhl+h0P09SseeBN+es79Rfy2hztsJtL76rOckzbx/PsLOjlUTWeixDrRQE6p5dm9U+wsZjg8f58bgihkfAnJll6G+LFc26TPmCj01sJfdg9UiW1ekgUhuPcOneEPefk2SulCGtrY21ItoRpZAkLc9CmWH/v5eOpe3UROyCJkaAb1SOWRe4FlDZ4Ln+XR3d7N85QqGnCLXx+pYHau7qP6GFzOe57Fr1y7Wr1+PtsiKk0KhcNrCvOT8YKgqDVaQsu+xO5fmYCHH6lCUpsDMdqGXE4qigGaiaCbM4AEtfLdSnVQaQRROInwXFGViXR8DNdOLm2tAjbbIrCSJRCKRSOZguJTnxZFeklYYY4Zr5q9PHmbb4JGqtj/uvJ7GYBTf98i4ZU6WcjSEolyVbCRhhBgpOPzmeIZ0ySVi6rTEFj6wJoTAt7P46YOYJ/6NyNDPsdK7UPA54dZz3+i9/Lx83Yzrbg3t4d4rTpDseCepUPvkNseqiPAcUBQUM4oRWYGvRRiyddoSIa5sjGLql/c9mEQikVwK+OU0bu4EbuZoZcxV+BQP/jP5A99FOLMXJKihBiJr3kFo1ZtRjTDCK1cqW1UdI7kGPdIihaIFUnQd8q5N2i4yWMqTsov4YzZNlqYT1k2S2uw6get7PD90jCf7uvlZXzdpZ7o+MhPLI0lua17NrS2ddEbrJsZvXd8jVS7hCo+6QJgrk43UWWG0sbGX8+Xas2jBaMWKFQAMDExXPMfbli9fPu92Nm3aNE3wsW2bVCrFli1bZlxn586dfOADH+C+++7jTW960yL3fGY0TVv0AOjEuqqKehqDPb5bpNjzI/IHvoubmnsgVdFDhFa8iVDXHRjxlae1n4tFuCV8O1PJJgrVE4hdjRqomdW+50zIOWVeyZykNhDBmEEE84XgSKpcsVEzpr/XRwsj/OOx56rawrrFm5I38eBz1blPK+ss3nhlgmPHM6iKijqTLdsFhu8Lhosl8q5N2FRprjWxSgoddRaqqiIQOMLF8QBvajXV1LoqZcr/FRRlbPbaqb9X9Rr/XYwp3TP8jjLZZ/x3ISYGR5nYaqVJmTKzfryLUm30NDH5vqpdqVg95D2HYafI+ppmVkZrL1lx7ELmdM6Xp3t+lZx/LFWj0QpS8jx2ZlMcLGbpCsVoDARmFPclU6zuZij/F8IHp4TiFbEHX8TPHsFMdqGG6qWljEQikUgkp5CxS+wYPkbEsAjMkK3o+h4P7v5FVVudFeZdq64HoOS5KIrCzQ3LiVthTmZLPNM7SqbkEgvoNC9GKPIcvHwvxtHvEzr5BIHUb1BEZfaxLxT+If/b/FX6XeTF9Ot/TCvzkQ0Or1+3FUVVcYUApzhRRaToJlqwDtVKoBgRVN2k5HiMFh3WNkRYVRtGnWHSpOTyZvv27Tz44IN0d3ejqiqbN2/m4x//OE1NTQtaf8+ePXzpS19i+/bteJ5HXV0db33rW3nPe96Drk//vvX39/NXf/VXbNu2Dd/36ezs5J577mHjxo1n+9AkkksOIXy8wjBO5gheYRBFM/CdAvn936Jw6AdzFg/osRVE1r2LYMcbUDSjIhQVKkKRWbMWPdKKos+c2yup2MvlXZucYzNaLjBQylF0HQQCVVEJagY1Vmje8Q3bc3lu6BhP9h3g5/0HyTgL83BaFa3l1uYubm3pYlW0tmpZ0XVI20VUVaEjnKQ1HCduXjg2gotWAG644Qa+8pWvsG/fvmmizb59+7Asiw0bNpzWzuzZswff97ntttumLdu9ezd33303H/vYx/iDP/iDifbxWe8XA076MIXu71I4/DjCmdvLUE90Eu66k2DHG85JQNlkNVEBVQ+iJ1ejhxrOejXRVFzfY9dIHwoqQX3miqmBbJnRok19ZPoJsOQ5fPnAkzinZEe9d/mr+M7T+YkcH6hY0f3Jqxoviptt1/fI2mVGS5UTUEs0xJb6ZSyPxYhoJnuzLhtauibESsGkUCRE9e+V5Uz0qFrOZNbRtN9n2h6iepszbr/6d1/4E9vzhZh4HR8BYkr7+O9jfcWUNoHA8TwCqs6GmmaWx+rO+D2WSCQLJ6BpNGlBCp7Li5kRYkWTrnCUejOw6DDoyxlFUSs383oYPdwEbpHSyefRAnUYyU7UgBTCJRKJRCKBSj7tb4aPoyuVmb4z8f2jL3M4N1LV9qfrbiI01j9tl2jQQ2QL8NKJIfJlj1hQpyW+MKFICIEop9CO/4DA8X8mMPIsql89i/ig08p/G/0AO+x1M27j1g6Tj2yqJWl5CDeHOKWKSDWjKEa46vqfLjmUXZ/rW+M0xy+cgSPJhcO2bdu46667uOuuu3j44YcpFAp89KMf5W1vexuPPfZYVU74TDz33HPcdddd3Hzzzfzwhz8kHo/zs5/9jI997GPs3buXz33uc1X9BwcHefvb305nZyc//OEPCYVCfPGLX+Td7343f/u3f8vmzZuX8nAlkosW4TkopZOUTvwSxSug6iG80gj5Pf9A6dhTVE/0rsasv4bIundhtdyEoqgIt4SbH0LRTMyaK9AjLRXXC0kVju+Rc8pknTLDpTxD5QK276IAhqoT0gwigYVZ0JY8l2cHj/Bk7wF+fvIQeXduV7BxVsfqKyJRcyfLozVVyyZs57wyYc3iqpomGgNRArOMiZ9PFi0Y3XjjjbS3t/PjH/+Ye+65Z8I67uTJk7zwwgu8+c1vJhyetGkZGBigpqamapbC17/+dXK5HB/84Aertv3tb3+bxsZGbr/99qr2ffv28b73vY977rmHd7zjHVXL7rzzTvbt27fYwzhnCN+ldPxp8gcewx74zdydVYNg+22EO+/AqFt/TgaOhFvCs9MgBFq4kUDdlZVBq3Ngk9OdGWLYLtAcnDmHqui4HB7JkwjO/MX5+55f01eqDjJ9Q9OV9ByOcCJVXV30lmtraE2a+J5/dnb+LOIJn5LnUPYqDwe2K0gYIV67rJnVNXEaw6GJz4LneSiKgqqoE+WJlwOe52EcH6YtnDzfuyKRXLaENJ2QppNzHXakh0nqJl2RGLXG4jz/JRVUM4JqRvDLacp9z6KGGjESq9AC8jwnkUgkkssX23N5cfgEtudRG5hu/wqQdUp8de8zVW1r4w28adkVQOX5yvE8TqY1XurLkAxZNMcXNhgjPAet7ycYR75DYPBpNHe6RZAjNB7KvpkvZN6GzfTt1gZVPna9ydZmB0WMgje9imja6wrBUN4hoKvc1FFDfJZnYMnljeu6fPKTn6S9vZ0Pf/jDqKpKLBbj/vvv55ZbbuGBBx7gs5/97Jzb+Iu/+AsUReEzn/kMyWTlvvPWW2/lne98Jw899BBvectb2Lp160T///2//zeDg4N885vfnMgQv+eee3jiiSf41Kc+xeOPPy5dJSSSUxCejT3wG/T8AWADbuYIud2PYg/smHO9wLLXEFn3Lsy6SmGE75bwyykUzcKsvVIKRVMQQlDyXHJumVS5yFApR8ou4+OjomBpBlHDwlAXXoRRch1+PdDDk30H+OXJwxQ8Z0HrrYs3cmtLJ7c2d9EWTkxb7voeKbuIK3zqAmGuSjZSO8V27kJk0YKRrut8+tOf5u677+bBBx/kQx/6EIVCgXvvvZe6ujo+8pGPTPR9/PHH+chHPsItt9zCV77ylYn2oaEhvvGNb7Blyxauv/56SqUSjz76KI8//jgPPfRQVabQwYMHee9730symWRkZIQvfOELZ3jI5wavMED+4D9TOPjP+MWhOftq4WZCnbcTWvl752SgSAi/YjnnFlH1EGZyDVq4EXWGPIaloi+fpjszRENw5rwrIQQ9IwUURcGYwTrul4MH+NVQd1XbinAdN4TWc/+uvqr25bUWb1p/4QzA+UJQ9hxKnkPFDA4sxSIqQiwPh7iyIcGyRBBLlzddEonkwiOiG0R0g4zr8NzoMPWmxapwlBpTlsKfDqoVR5gx/HKKUu8z6JEWjPhKVGvmyRQSieT8I62AJJKlwfN9do32VaqDZnlOBPi7/c9Nywz48JWvnqh8TpWLFAo6nqfRFA2gzWdFLgTK0POYPd8k0PfvaPbsz++77JX8t9E/ZY+zYsblv7sC/vRqiEUCaMFlM1YRnYrnC05myzRHLa5qjhGYwYpdIgF49tlnOXr0KO9///urcr8bGxu55ppr+MEPfsB9991XNYl7Kj09PRw+fJj169dTU1M9833r1q089NBDPPbYYxOCUS6X4wc/+AFXX301zc3NE30VReH1r389f/3Xf82zzz7LTTfdtARHK5FcnAjPpjzwAl5xGC1/gNGnvoqb6p59BVUntPyNhNe9EyO2HKhEmYhyCkUPYtRdiR5uOSdZ9hcynl+xl8u79lj1UJ6CawMKqqIQ1AxqA/Pby51KwbX51cnD/LSvm18PHKbkuQta76pkE7c1d3FLcyctofiMfYquQ8YpoSoKHeEEreEEMfPiyJo6rVCaLVu28Mgjj/Dggw+ydetWFEVh8+bNfOtb36KhoWGiXzKZJBKJVF1YADZv3szevXu55557cByHUCjExo0b+d73vjct/+ib3/wmw8PDDA8P88UvfvF0dvecIYRPuf95Ct3fpXTilyDmCqZSsFpuItz1VqymG89JRY/vlvDtSkWOHmpEr1s/lk10bm9Ic06ZnaN9JM3Zv8jD+TKDeZu68HTlvLeY4pGeX1e1BVSD/7DitXzpx8P4U6o6NRXuflUD+nm0ohNCUPZdSp6DJ3wUBaJagLZQDcLTUYVOTdBkVW2YhoiFfhFkK0kkEklMN4hqOmnXYdvoIM2BICtDUeKGnPG0WBRFQQskx/ytB3FzvRjRdvTEinM6mUMikcyPtAKSSJYGX/jsTp2kv5ilMTC7WHQsn+Jbh1+sarulqZPrapdN9skUsJwYicDcz4BKej9mzzexjv8zevHYnH1LwuTB9Nv529zv4zH9ea0lrPBft9Zyw/LGWauIZqLs+gzny3TWRVhdH0G7CCzUJeeP556r5DevWbNm2rK1a9eyY8cOXnrppVkFnOHhYYCJyqKp1NZW8jVeeOGFibaXXnoJ27ZnfT1ACkYSyRTGxaJ89/fJ7fm/hAr9zCY/KEaYcOfthFe/HS1UuX/0nQLCTqPoIYy6q9HDTZetUGR7LjnXJueUGSzlGC7lcYUPKBiqRkgzaAhET8vtJOeU+eXJw/y07wDbBnoo+3ON31dQgKtrWiZEosY5CiDSTomi6xAxTK5MNtIUjGHNkMd4IXPae7tx40YeffTROfts2bKFHTuml9tt3bq1qsR1Lu69917uvffe09rHc4VvZygc+gH57u/iZee+0VStJKGVv0eo8y3okZYl3zfhe5VqIq80pZqo6ZzkIs2E63vsHOlDVdRZPRpt1+PQSJFYQJ/2xbd9ly8deBLbrz7lvm/lVrbtczk2Wu0p+fsbamivOfez3u0xgcjxPRQgqJu0BBPEjSCWapAvC1xP0BAxWVEboiZoXhT5ShKJRDIVRVFIGCZCNxixbfrLg7RaIVaEI0QvQB/eCx1FUdGCtQjfw82fwM0dQ4+vRI91oOoXx0wkieRSRloBSSRLR3dmiCO5ERqDsTkHf76w+xdjA0YVDFXjP10x+Z3py+YZyrjcVB/jyNDAtPXVwgmMI/+EeewxjMzeBe3bL7Xf4ZMD7+BocfoztKrAO65u4P03ryJoLm54JVd2Kdge17bGaY0HpcWvZF4OHz4MUDVRe5zxtp6enlkFnPHrzrhwNJXR0Yqtf39/P77vo6oqPT09877ekSNHFnkUEsmlyYRYtO/bZF6c3R1LDdYRXv12wp23T+TG+04B306hGmGM+g0VoUi9uASGM0EIQWFMHErZRYZKedJOCd8HRYGgZhAzgxhnUPCQsUv8/OQhnuw7wLODR3EWIBKpKFxb28qtzV28tnkV9YHIrH2n2s41BCJcXdNMjRk6I9s52/XJlhyy9rmPV7l8Pn1LgJPqJvfy1ygefQK88px9zbqrCXW9lWDbLefEb9J3i/h2BgXQQk3osTZUK3nOq4lO5UBmiFG7QNMsuUUAR1NFXN8nOsOsrG8ceZbjxep8olsa1tJMK195qVqsa0ua/N7V58aKzvU9ip4zEaZmqQb1VpS4ESSsWwQ0A9v1SZUcysJnWTxARzIkvaklEsklgaIoJE0LXwhO2kV6SwU6QmHagxHCM9grSeZGUTW0YD3Cd3HSh3AzR9ATnRjRZdKzWiI5j0grIIlkaTiaG2F/epD6QHTCVm4mdgwd42f9B6va3r7iGpaN5QWUXY+XTo6yOlpfZe+tlIcxjv0L5tF/whx5fkH75IRXMFDz2zzQ9xq+3zPzM1tnXYj7XreaK5tmr4iajeG8jaYobO5IkgzJa7tkYeRyOQACgekTicbbstnpuVvjrFixgtbWVvbv38/g4GBVVewzz1RywYQQFItFwuHwxLaCweC0bY23zfV68+F5Hp43/6DtTOtN/SmZjnyPzi2VzKIXcEb2kn35azP20aLthNf+EcGO35p4pnPLGXw7i2JEMGquRgs3oqh6xTnpEv7bub5H3rXJlEscKKYY7j1AWXggQFdVgrpBjRGcdk/gL0DkmUrKLvLz/kM82d/N80PH8cT8woumKFxb08ptzV28umkltdbkZJGZXr/g2qTtMrqq0h5O0BqKT9rOCbGg76AQgpLrU7A9Co7LaNFltOBQdDxs12M07XDTaX4eTvccIEdxToNiz78T2f0JUoWDc/ZT9CDB5b9NuPMOjGTXku9XVTWREcasWYcWajhv1USn0pdPc3CO3CKA0aJNb7ZE3Qw3zc8NH+apgepZYMuCSd7WdgOf/UE/3hQrOlWBP3lVA7q2NLO0POFT8hzKnosQAkPVSJohkmaYsG4R1IyJGWJFx6M/X0JXVVbVhGmNBwhb8qsnkUguPVRFodYM4AqfY8UCR4t5locitAfDBC+yEuwLAUXV0UONCM/GGd2Lmz6EkexCj7ReVjPOJJILBWkFJJGcfQaKWXaO9FFrhdHnmIXrCZ/Pv/LzqraEGeS9XZuASk7svoEsCrAsGkexc9SnfkTsV/8dc/DnKHPaxVdwA82UGm6hUHMTT4+08L9fEAwWp/fTVYW7bmzn3RuXzZi3Oxe+EAxky9SGLK5uiRJaZFWSRHImKIrCfffdxwc/+EE+8YlPcP/991NXV8fTTz/Nd77zHYLBIMVicUaBaCnYv3//Ga2/a9eus7Qnly7yPToH+A5adi+KmyZ05G/Q3eoLhxtaRbnhTbjxaxhxVOjuAa+I6uURWggv2IYwwzA0CAyel0NYSoQQlIVHwXfJeTZpt0x2LNMdBLqiUTh8BENRz0qlbcYtsyM/wPO5k+wpjuAj5l1HQ+GKUA0bw01cF2kgpplQgqGe48yUaugLQcF3KPkeIU2n1YyQ1AOU1SKH6JvztTxfUPYEJU9QdH3SZUHO8bF9gSIAFAwNTE3BUMGp6Gjn/Lss704WSaHnRwz+6x3oc3zg9PhKwp13EFzxxnOSPeC7RfxyupKBEGlBj7RWsokWGfS1lCwkt8j1fQ4O5YkY063oBkoZ/u7wL6raTFXnz7pu5ScvZzkyXF3h9btXJ1led/bse3whKHsOpbGTmgIkzBDLgkkiukVQN6cdV67skim5hE2Nq5piNMWsqpluEolEcqmiKyp1VgDX9+kp5DhSzNMZitAaCGNJ66RFo2gmeqgJ4ZZwhl7GTR1CT64esyqQ76dEcq641KyA5MzupUO+RwtjtFzg+aGjxHQLXVHmnDn8g2O72ZepHki7u+sGwpqB73scHS1yNJ1hTU0tgZO/JPbcf6TOGZ1la5N4RpJi3aso1GyhHO4i7Rp8YafOT3pKM/a/qinKn9/aycrayqRMz1u4TYzt+Qzly6ysCbOmPoyuKef1MyI/p/Nzpu/R2X5vI5GKHVKpNP3zOd4Wjc5d8XbrrbfyyCOP8NWvfpU777wTVVVZv349X/va13jve99LMBicqKId31axOF05HW+b7/XmYvXq1YRCi5/g7Hkeu3btYv369dKWdRbke3RuGK8s8msaKB19kWz+QNVyu/Y1tLz2f6CPjQX6dg7h5FDMVoxEF2qw/pJ7nrM9l7xrk3NsRuw8o+UCRc8FAZaqsFwzsTQdXVXxPJ/u7m46OzvRziDPfaiU52f9B3mq/yAvDJ9YkEikKyo31rdzS1Mnr2pcQdycfwzZ8T1SdglfCFYHwiyPJKm1QqizjHM7XqVqqOj6ZEoOI3mHjO3iegIUUIFmXSNgqJhjx+/5ggNDeXYcT7P9eJr9gzmius/337eZK5vji3pfAAqFwmmJ81IwWiSlY0/BTB88VSe47BZCXXdg1l+z5P7DlWqiNMIroxoRzNor0MKNqPq5mQmyGCq5Rb1oc+QWARxPFym5HrXh6swh1/f4cvdTFD2nqv3dy2/CLwX5/ovVVnStCZM3X1Nt87FYhBCUx3KIPOGjKBDVArSHa4kaAcKaNeMMOF8IMiWXouOTDBpsaktQH7FkeKlEIrks0VWVeiuI4/vsz2c5WMizOhylJRDCOAMv38sVRQ+g6c34TgF74AVcK46ZXI0aqr+gJolIJJcql5oVkJzZvfTI92h2Cp7DrsIQOiqheQK9S77LF4/8sqqtxQxzRclk3779pMseB9MO6DZ26jjRw3+C6s9QGjSGqwQZCV7DcOg6MtZqfD2CKCX41XGLf9hvk3OmR5SbGrytK8zr2k3c4WPsn677zknR9ck7gs64gV3WeLn/wnk+lJ/T+blQ3qMVK1YAMDAwPZ9rvG358uXzbmfTpk1s2rSpqs22bVKpFFu2bJloG9/WXK/X0dGxoH2fCU3TzkjMONP1Lwfke7R0CM+mPLwTnAy4ObK7HqparoVbKLa8oyIWuQV8J4tqJjDrbrhknt984VNwHfKuzWi5yFApR9YpT0y0NzWdkBEgGZhbftA0FXWRwtnJYpaf9XXz075uXho5sQCJCExVY3N9B7e1dPGqxpVEjIVl3lcEsBKaorIyVkdrOEbUmHweEEJQdn0KjkfR8RgtOIwWbXK2x7gLnqYpBHSVmpCJPkUcE0JwcLjA9mMpdhxPs+N4mmy5+j5kGPjov+3lJ+9fvKvA6X7/pWC0SILL30h6xwMT/9dCjYQ630Jo5e+jBWuX/PUrQWiZSjD2RDVR8oI+0exPDzJqF+fMLcqUHI6niiSC063ovn3seQ7nq4sAb6rrZEttJ//j347jTpnUpYxZ0RmnYUVnjwlEju+hAEHdpCWYIG4ECekm5hz2P64vSBUdXM+nKWpxTUuYmpAhg0slEsmSIOwsppsDsZDbovOPoao0WEHKvsfuXJqDhRxrwlEareCc9jOSmVGNEKoRwnfylE5uRwskMZKrUQO18rojkVzAXGhWQHJm99Ih36O5KXkOzw0eo9NPkLTm/7z/zb5tpE7JDP74htu4oqGDgu0x2pehPe4SNXVu3PVhtBnEIl+1KCWuJ1/7Kso1N6CFm6mx4tQZEU4W4H89dZBfH5m5IumGtgT/9ZZVtMRPz8FipGCjKArXtMSoC184eUXyczo/Z/oene7M7tm44YYb+MpXvsK+fft405veVLVs3759WJbFhg0bTmvbe/bswfd9brvttom2DRs2YJom+/btm9Z/vO3GG288rdeTSC5mhGdTHngBvzSKaiUZfvpj4E+d5K4Qv/E+RgY83HwferCWQOOmi14oKnsuOadM1ikxXC4wUi7ijFUHa0ole6guEJkzj/BM6CtkeLKvmyf7DrBrdG7rt3EsVefmxuXc2tzFzY0rCOsLuw77QpCxSxQ9h6hpsT7ZTGMwiq5oFB2PoXyZXMljpGiTLjkUHR/GpDJTUwgYGnVhc9p7IYTgyGiBHcfSPH8sxW9OpBkpODPuw1RSxfn7nE2kYLRIgm2vofHOJ+l55u9obO0gvOKNS54jIHwXv5xG+Halmqjuyko20QVYTXQqvfk0h7LDc+YW+UJweKSApWvTKnFeGD3Kj/pfqWprCsR59/Kb+PeXUxwaqn5weNNVCVbWL+xG3vU9ip6D7bsogKUa1FkREkaIsG4RmGemG4Dt+oyOfWnbEwHakyFigfnXk0gkktNl5Bf/lfSOB3gd4PUncGOrcGIrcWMrcWIr8cItoFyYD/2WqtFoBSl5Hi9lUoT1LF2hGI2BwKx2pZLZUY0wqhHGtzOUerehhRsxEp1ogen5KBKJ5My51KyA5MzupUe+R9NxfI9dqX7Kvkd9MDJv/5PFLP/30AtVbVvqO7i5aSWe73NotIimqfiKz1Un/xVz6NdVfcuRNRSa3kS58VbUaDuqGSVohFEUBV8IHtvZxxd/2UPBmW4dFrN0PvKalfzOuobTmpAhhGAgZxMPmGxoiRG5QHNs5ed0fk73PTrb7+uNN95Ie3s7P/7xj7nnnnsmrhcnT57khRde4M1vfjPh8GQswsDAADU1Nej65Gfv61//Orlcjg9+8INV2/72t79NY2Mjt99++0RbJBLhd37nd/iXf/kX+vv7aWpqAiqf7SeeeIKOjg5uuOGGs3qMEsmFzrhY5JVG0EONZF76a9xUtRVdZN070cLNKOoAVuMmjEjjRScUeb5P3rXHqocKDJUL5JwSAlBRCGgGUcPCWGJLveP51IRItDt1ckHrBDWDrY0ruLW5i5salhOcw+3qVBzfY7RcwEdQZ0ZYGaknoFjkih4vDGdIlzxcr2J6pypgGSqWrhK1pserjNOXKfH8WAXR9mMpBnL2gvcHIKQr/Pc3rF7UOmfKhXnHcoFjNW+h3DyK1agtqVjkO3l8J4uCihZpRY+2olqJi+Ykk3VK7JontwgqX5xMyaUuUq3yDpdzPHSoOtjUUDT+rPMWRrKC774wUrWsOW5w+7VzW9H5QpD1ygzbeSxNJ2mGSJphwrpFUFt4RVDR8UgXXQxNoasuTGs8IANLJRLJkuPlT1ZXudoptKEdWEM7Jtp8zcKNrpgQkNzYSpzoctDOXq7bmRLQNJq0IAXX5cXMCLGiSVc4Sr0ZWLLZSJcyqhlDMaL4dppS76/RI60Y8ZWo1uyVvRKJZPFcalZAEsm5xvN9Xh7tZ6RcoHEO94mpfGnPryj7k9YsmqJwz5WvrszQHSmQKTlEgxqhTC91e/+qat2yliS9+RHUyDLMU2YU94wU+MxPD/DCicyMr3tbVx3/+bWrTrsiyPV8BnI27Ykg6xqjmPrF8QwvubDRdZ1Pf/rT3H333Tz44IN86EMfolAocO+991JXV8dHPvKRib6PP/44H/nIR7jlllv4yle+MtE+NDTEN77xDbZs2cL1119PqVTi0Ucf5fHHH+ehhx6aVnn60Y9+lF//+tfce++9/J//838Ih8N84Qtf4PDhw3zta1+rEqMkkkudU8Uie2gXuT2PVvXR46uIXPEeXDuPG12DFmq44MdxhRCUxrKH0naRoVKelF3EG3M0MVSNoGbQEIieE0eLI7lRnuw7wJO9B6blF85GWDd5VeNKbm3uZHPDcgLa4s5NqXKR4VIRz1WIamECIshoXmNYlIEymlqxlIsFNIx5CgyG8jbbj6XYfizF88fS9GZmzkWci/ZkkI3L4lzVGCVpD/HGtdMzTZcSeWa/wBivJsJ3UMwoZu16tFA9qn7hDPQtBMf32DXSN29uUcF26RkpkAhWfxQ94fPX3T8j71ZXEP1hx40sC9bwP586geNNWjEpwN1bG+a9EU85BeJagA2JZUTMxc1oF0KQK3vkbI+wqXJ1c5TGaEDe/EskknOHoqJoFuIUW5apqF4ZM7UXM7V3ok2g4kVacaLjlUircGKrENbiQxPPJiFdJ6Tr5FyHHalhagyLzkiUWsOS1mqLRFEUNCuBMGN4hUHcfB9GpA09sQLVCM+/AYlEMi/SCkgiOX2EEOzPDHIin5rTqnwqr4z28+8n9la13d6xnpXRWgayJY5nS9QGTUZLo9yy51OofvWATHfjPTREl6NOyQpwPZ9/+M0JHtp2BNubbu1bGzL4xK2d3NpZdxpHWaHoeKSKLlc0RllRE0KVebaSs8iWLVt45JFHePDBB9m6dSuKorB582a+9a1v0dAwOaCYTCaJRCI0NzdXrb9582b27t3LPffcg+M4hEIhNm7cyPe+970ZJz00NDTwrW99i7/6q7/it3/7txFC0NnZySOPPMLGjRuX+nAlkguGU8Ui3y0y+sz/y0RIDYCqk9zyKXw3h5FYDan0+dvhOXB8j7xTqR4aLucZLhUoepWqFwWVoK6TMIPoS1w9NJVD2eExkaib7uzQ/CsAEd3k1U2ruK2lixvq2rEWIBJV8oY8yq4g77j05rKMFG00dJqsOHE9jKXoWLpGzFIXlEmfKjrsOJ5i+7FKBVHP6Ow5irPRHLXY2JYY+xenIVLJV8qVHA4cGJln7bOPFIwuEHwnP5ZNpF2U1URTEUJwID1Iyi7RuAArOl1TqgK/AL53/DccyFWXGm6qWc6tDWv50StpugeqHwbecGWcrsa5LfrybpmAppMwYkT0hYtFvhCkiw4l1ycZNNnUFqUubC7opCGRSCRnEy1UT+1tX2b45/8FUVrYTRSAgo+eO4aeOwZ9T0+0e1btFDu7VbixlXihJjjH156IbhDRDTKuw3OjQ9SbAVaFo9SYCwuhlEyiKCpasBbhe7j5XtzcMfT4SvRY+0VhZSuRXMhIKyCJ5PQ5nB2hOzNIYzC2oEkhQgj+zytPV7VFdJM/Wb2ZXNnlwFCeeEBH+A7LD32NaHZPVd9c4xtJxV/N1Pm4+wZyfPqJ/ewfzM/4mm++spEPvWrFGVmMj+fabmpL0BiV9zGSpWHjxo08+uijc/bZsmULO3bsmNa+detWtm7duqjXa25u5oEHHpi/o0RyiXKqWASQefGLeLnjVf2iV/0JerQd4RbRo63A+ReMhBAUxqzl0naJoVKOlF3Gx0dFwVR1AnrFXu5cTtoUQtCdGeK7w9289PRz9ORmzhE8lZgR4DVNq7ituZNN9e1zWuL5QlByPUqOT8H2yJZdsmWXouOQ88sIX9AYjHJ1op76YBhtgfnKubLLb06kx6qI0hwYmvm+Yi7qwiYb2+JsXFYRiVpnyUm0PX/G9qVGCkbnkclqIhvFjGPWXX1RVhOdSl8hw8Hs8JxiEcBQrsxwwZ5W5v9y+gT/1vtSVVudFeG9K7YykHX4px3DVcsaYwZ3Xl8752u5vkfJs7ky2kr/4NEFHYfrC1IFG9cXNEUtVtSGSQYXblsnkUgkS0H0ij/Ga3sj3/vxX7Kh1sLI9qBnDmFkDqGVh+ffwBS08jDa4DAMPj/R5mtB3NiKCQHJia3EjXSAtvQhzTHdIKrppF2HbaODNAeCrAxFiRsXTkD0xYKiamjBOoTv4qYP42aOoCc6MaLLUM7B31IiuRSRVkASyenRm0+zO3WShkB0wZP2ftK7n52nBFq/b/WNRPQAu/oymLqKgY/T9zRX9X27qp9rNZK76i+gvzJbuuR6fG3bUf5hx3FmKCqiJRbgz1/XyY3tp58BKIRgMG8TMjQ2tdXIXFuJRCK5RJhJLCr1baNw4LGqfkbdeiLr3olfHMSou+q8PXPZY9ZyWafMcCnPcLmAPWbtqikaAU2nNjB3dMhSkXVKPD94jG2DR9g2eIT+YnZB6yXNIK9tWsWtLV1cX7tsxsonx/Mpuz4ld1IYypc9/DFbPUUBHw8Hh6ClszzYQL0VJaTP/3cqOh4vnshUBKLjKfYO5PBnuJ+Yi0RQ5/plCTYui7OxLUFHMjjj+LIQgoLjkbc9fB+CukJT6NznDMonjPOA7+QRdhZUDT2yDC3SMlZNdPELEVmnxM7RPmqs8Jwnn5Ljcmi4QDxYHQqWsgt8tftnTP3eaYrCn3beSlAz+fwvT0yzDrhrawPWHLZwQghSToGV4QZiRpD+eY6h7Pqkig6KAh2JEG2JINGA/KpIJJILB0VRKRi1lJquodzymol2tTyKnjmMkTk4KSLlj6Ow8LsZ1Stiju7GHN090SYUDTfSNpaHNFmRJMzTD1ufDUVRSBgmvm4wYtv0lwdZFgixPBQhuoiwSkkFRdXRQg0Iz8EZ2YubPoSR7EIPt6DM470skUimI62AJJLFMVTK88LICZJWaMHWNmXP5Yt7flnVtiwU5w86rubwSIGi45EMgDfazYaeL6EKZ6KfQCG9+qNo0Xbo7+bFE2k+89RBjs5gD6Mq8I5rW3n/lg6CxukPxri+YCBbpiVmcVVzDEs/9wM7EolEIjn7zCQW+XaG1LP3V/VTtADJzZ9E+A6KHkIPt3Au6kJ84ZN3bfKOTWoseyjrlvH9yjXO0gzCuklSC82/sSXAEz57UwMVgWjgCC+n+iZykeaj1gpxS3MntzZ3cU1NK/pY9c+kpZxP0fHIllwytkvR9sbWFGiqiqmpRAM6igI5t4Tje4R1k9ZgHUkzPGdlUtn12dWXYfuYzdwr/VncRSpEYVPj+mVxrl+WYFNbglV1oVnzmoUQ5O2KSCSEIBbQWVsfoTZsEtIVXsoeW9Rrnw3kKPg5olJNlKpkE1lxjPqr0YP1KPqlU6Y+nltkjCnWsyGE4EiqhEBgapNfUF/4fPXg02Tcaru5t7VtYlWknid2p9jXX73sdevirG2a22In7RSoMyM0B+OIOb7gBdsjU3IxNIU19RFa4oEzenCQSCSSc41vJbHrk9j11020KW4JPTdZhaRnDmJkelD82XOQTkURHka2ByPbQ5AnJ9q9QH11JVJsFV6woTJ95wxRFYWkaeEJQX+5yIligY5QmI5QhNAiAywloGgGergJ4ZZwhl7BTR1CT65GDzehnENvaonkUkBaAUkkCyNtF9kxdIyoEVhU+PQ3D71A3ymzjv/TFa9iOO/Rny1RGwA31UNz32PUFA9X9cs3/y5e65soOIKv787x5LGXZ3yNlbUhPvm6Lq5qXlie0myUXI+RvMPq+jCddRFpWy6RSCSXCBWx6MUqsQggvf1z+MXBqr6xa/8TerQdN9+HWX9NZWKe5526yTOm5Dpj1UMlhkoFRsp53LEMJV3VCGoGdVZkVmHiXDBYyrFtoFJB9OzgUTJOaf6VxmgIRCZEoqtrmlFQKI9VDBVtj8xY5ZDt+oAAFAxdxdQUkqFqRyjH98g4BXwEdVaEpkCcmBGc8b1xPZ9XTuYmKoh29mZmzDmci4Cuck1rnE1tFZFoTUMEfY57Al8I8mWPgu2BAvGAwZWNIWpCJhFLmzgWbwk+RwtBjrgsIUIIhJNHOLkp1UStqFb8kqgmmooQgv3pgXlziwBGCjYncyXqQtVlf//Wu5Pdmd6qtg2JNn6r6SoGsw7f3l5ttVQf0Xnbxrmt6IqejaqorIjUoyoK3imz7IUQE2WKEUtnQ0uUxmgAQ7v4sqMkEolkJoQewEmsxUmsZWJurfDQ8r1TBKTKT81enMeyVhpEKw3CwLaJNl8PTwhI42KSG2kD9fSqWTRFodYM4AqfY8UCx4p5OkIROoIRApoUOhaLogfQ9CZ8t4g9+CJuOoaZXI0aqr8ocxMlEolEcmFScG12DB3HUHXCC7B7GWe4nOfr3c9XtV1X28p1iXZ29WdJmD5e+iih/CG6+r9X1c8NLiO7/H0cKQT5yL+8wEDOnrZ9XVV43w1tvGdT2xk/82VLLgXH4/plcVriMidQIpFILhUmxaLhKrGoePQnFI/8uKqv1bSZUOcd+E4e1Yyih5vOyj64vlepHnJtRkoFhsp5iq4zJpNAQDOImcE5K2XOBWXP5aWR3okqou7swrOWAWr1AG9oW8trm7vojDRguz5522NPf5Zc2cMVPgoKigKGpmLpKmFTm3VcvejaFDwbXdFYFqqhPhAheIo9oOcL9g/m2H4szfPHUrzYm6boLK4mzNQUrm6OcX1bgk1tca5ojM57X+ELQa7sUrA9FBRqwgaraisiUdi6sCSaC2tvLhGE5+DbaRAuihnHqN+AHqq/pDMDegtpDmdHaQhG5uxnex4HhwtEzWorun2Zfr57/DdVfZNGiD9Z+WoA/vaXA5Td6VZ0AWP2L6MnfHJOmfWJVgKn2O74QpAu2JRdn9qQyZWNMWrDppwRJpFILg8UDS/Shhdpg3FLOyHGLO0OVgtJhd65t3UKqpvHHNmFObJrok0oOm60vboaKboSYYTn2FI1uqJSZwVwfZ/DhRxHink6QxFaA2EsKRwtGlUPoupBfCdP6eTzaIEajORq1EDtJTepRSKRSCTnlrLn8uLwCTzhU2Mt/FoP8NW9z5B3J4UeBfjTNVvZP5QnoDiQPQqezbqjX0UVk7NuBSqjqz6IG1nFxx/bO6NYdFVTlPte38Wq2sXt00wM5cqYmspNy2tIBKXFq0QikVwqzCYWecUhUs//ZVVfxYyRuPHPURQFz85gNV5/Wu4NQgiKXqV6KGOXGCrlSdlFXN9HVRUMpVI9FAlY5/1ZTQjB0fwo2waO8MzgEXYMHac8lpG0EExV45qaVq6vbePKaAvpY8PUxtsoZn12ZjIAqKqCpalELA1tATbqvvDJueUJ27nV0UZqzPCEFa4vBIeGCzx/LMWOY2l+cyJNtrzwfQbQVIUrG6NsbKtkEK1vjhJYgAWt51cKFUqOj6pCbdBkdV2EZMggZF64ssyFu2cXGRPVRG4OFB092oYWbr4kq4lOJWOX2DXaT9KaPzTt+GgRx/OJBibFs6xT4q+7n0JMqf5RUPhA5y1EjQBP7k2zu6/ac/qWNTGuaJnbg3PUztMeqiVpTj4QCCFIlTwGcmXakmGWJ4MkgsYl/zeSSCSSeVEU/EANdqAGu2HTZLNbGMtFOoSeHbO1y/ag+M4cGztl08LFGLPEm4obasKNTtrZObFV+IHaOS3tdFWlwQpi+z7781kOF/N0hqK0BEIYqqyQWSyqEUY1wvh2hlLfs2jBeoxkF1rg9IO/JRKJRHL54voeu0Z6STtlGgJzTyY8lQOZQf7l6CtVbW9atg7dCZOzc0TsYwgEKwZ/QLRwihVd2x/gJq7msf02vZlq292ArvKBm5bz9mtazniCoOcLBnJlGiIW65tj0sJcIpFILiFmE4uEEKSevR9hZ6r6JzZ+HC3UgG9nUa0EWqjh1E3OiON75B2bnFNmqJxnpFyg5FUEDFVRCGoGCTM0kdtzvsk5ZZ4fOsa2gR62DR6ZZhs7H8sjSa6vbWdDYhltZj0FR2C7PqWCIFX2qaFiyaYu8hpt+y55p4xAUGdFaQrGiekBAI6MFtlxPM32Yyl2HE8zWlz4+AVUMqDWNETYuCzBxrY417TECZkLu+a7fqWSqOh4aIpCQ8SipTFAMmgQuEjuG6RgdIaMVxMJ30EL1KAnLv1qoqk4vsfOkd55c4sAUkWbE9kSNcHJ90YIwdcO/ZxRp1DV9/Zl17Im1sRQzuGbz1eXM9aEdd6xqW7O18o4ReJGiGWh6gGv0aJDzFJ59cpaEqFLJz9KIpFIlgqhh3BqrsSpuXKy0XfR88dPyUU6hOos7sZRL/SjF/oJnPz15KaN2JiANMXSLrwMTpmpZY4JR2XPY3c2xcFCjjXhKI1W8IK5sb6YUM0YihHFt9OU+55BCzVjJFahWmeW7SCRSCSSywdf+OxJDdBfytEUmNum/FSEEHz+lZ/jT5lEGNQM3tx8HUOZDHHnOKgK0XIf7Se+U7WuE15BpvkOckYLDz/fU7VsdV2Y//V761h2FizjbNdnKG+zqjbM6vowurQxl0gkkkuG2cQigMLBf6bc90xVW6D9dQQ7Xo8QAt/JEmi6cUaLb1/4FB2XvGuTsosMl/Kk7fLEpHlL1QnqBnHzwrE29YVgb/okz4xlEb082ocnFp7pE9FNrqtt45rEMlaFmtGFhe36CE+Qt30ChkbE0vE9n5ypEtDVRYlFBdem4NoY6qTt3GjO5+n9KbYfO8r2YykG89Mrjeejsy40JhAluK41TjSwcNnE9XwyZRfbFWgqNEYsWppiJII61gIqkS40pGB0BvhOHl/X0WMdldBoM3ZZVaqM5xal7RJNobkHlFzf5+BQgbChV50EftT/Ci+mjlX1vSLWwu+1bEAIwd/9aoCSU31Set/N9QTN2W/Oy56LL3w6Iw1Vg4Yl18MXsDJuEL3AvCElEonkokLVcaPLcaPLKbXeWmkTArU0dEou0iH0Yv/iNu1ksIZfxBp+caJNqAZudHl1LlJ0BUIPYmkajVqIoufyUiZFRM/RGYrSFJg50FIyO4qioFkJhPDxikO4hX6MyDL0+ApUc3GzxCUSiURyeSGE4EB6iJ7cME3Bxbts/PLkYZ4fqn4uvLPjWtLpMlHnGIqmoag66w4+iMpkzoBQNFKr/zOKGeXrOwvk7Opw6P9666qzIhblyi65sseG5hhtyeBl9dwvkUgklzpziUVu9jiZFx6salODdSQ2fryyrp1BC9ajBqsnto+UC+wtjjDcdxCHSg6PpqgEdYPawPwOTeeaoVJ+LIeoh2cHj5J2SgteVwHWxhu5JrmMrnAzdXoSzwMQaL6KZahEznAcdtx2zvZcokaQeq2GgycdnjgxxPZjB+nNLHx/x+lIBtnYlmDjsjjXL4uTDC2u+MPxfDIlF9v1MXWV5qhFYzRAImhg6hfW33exyFHz00QYMQIt12KEGy6baqJTGc8tagzOP3usN12i5LrUhCereg7mBvn2sepA05ge4D+ueg2qovL0/gwvn6i2ont1V5Srl83uOe0LQdYtsjbaREivrmQayTtsaI4wWLy4v7QSiURyQaIo+MF6ysF6yo03TjY7OfTsYYz0wUpFUvYQevYoili4Z7DiOxjpAxjpAxNtAgUv1IwTX4UbXYkZW0k4toocMV7MjBArmqwOx6gzLSkcLRJFUdGCtQjfw8334eSOYcRWokSWne9dk0gkEskFytH8KAcyQzQEYou+7jq+x4O7f1HVVh+IsN5sIVA4gm6aoAdYcfQRwsWjVf3yHX+MYzXT5zfxT7t6qpZtaba4onFxlU4zMZy3URWFzR1JasOX57O/RCKRXKrMJRYJ3yO17dMIt3psMnHDn6Na8Uo8iVvArL+6aiJBqlzk+aGjZFyb5bpJwLjwrh225/LiSG9FJBo8QndmaP6VplBrhbg22cbaSAvLrAYsxQQEhqYSMDSMwNkZe7V9l5xTJlfyODmi0jPos/PESY6MFudf+RRaYlZFIBoTieoji3eeKrs+2bKL6/sYqkprPEBj1CIRMC6pymMpGJ0mQo+ghZtRLtOg7YxdYudIJbdovgeCbNnlWKpIfIoVXcG1+evup/DE5OwwBfiPna8lYYYYybv843PVJ6tkSOMPb5jbii5l52kOJqizqh8MhvM2rfEALbEAgws8RolEIpGcOcKI4NSsx6lZP9noO+i5oxNVSOM/VTe/4O0qCPRCL3qhF/omB5lqzSRubCWFSAfd4XaOJdbQ3riaOjMkZwMvEkXV0IJ1CN/FzfTgpw+hFh2E2HC+d00ikUgkFxD9hQy7RvqotcKnZQv73Z6dHM2PVrX9fsOVqNnjBIMB0C1i2X209X2/qo8T6SK77G0owF8/n8bzJ50pTE3hzq65M2/nwxeCgWyZZMhkQ3OMsHSpkEgkkkuKucQigNzeb2AP7axqC3XeTqDlJgD8cgo11IgaqJlcxymzffgYAc0gqpmYF8i4sRCCo/nUWBXREXYMH5vITVoIhqJyZaKFK6ItdASaqDdiKAqTAtFZFEuEEAwVS+zuy3PwpMPhAZcjI+X5VzyF+rA5JhDFuX5ZgtZ44LT2p+R6ZEsurl/JRWyPB2mIWsQD+iUlEk1F3vFIFs14bpGpzZ9b5AvBoeE8hq5OBIwKIfi7w79gsFyddfG7LRu4Kt6KEIKHfz1Awfarlr/35gbC1uwn2pxbJqSbdIRqqwYFi46Hqiisa4zOlaMukUgkknOFauDGVuHGVk22CYFWPFklIBmZg2ilxcn8mj2KNrQDa2gH4yl2JdXiSGw5wZq1RGrXYiRXo8dXoeqnd8N4uaGoeiXA1Smh5Z/DzRxBr1k1/4oSiUQiueQZLRd4YfgESTOEOc+z4Uyk7RIP7d9W1bYyVMMq2yURCYJuoXpl1h76PEqVFZ1Oet2fI9wSr5SX8dTBaju7t21ooT64+MGlcRzPZzBn05EMsq4xelYHwiQSiURy/plPLHJGD5Dd9TdVbVqkldg1/6myvvARXhkj0TkxBll0HbYPHUMRCtELoKoo55R5fujYhEjUV8wsav1loQRXxlpZGWyiI1iPpeoYukZAV8/6dbHk+OztL/DSiRz7+0scH3VZRGwSAImgPpFBdP2yOB1nYCFbdDxyZRfPFwQNjRU1YRoiJrGAMTG+fSkjBSPJohBCsDc1QMYp0RicPwi7P1MmU3aom2JF99TAXp4f6anq1xVp5PZl1wHw64NZXjpWqFp+86oo17TNbkXn+B6257A20YYxJRjdF4LRosPG1jhBQ8PzvFm3IZFIJJLziKLghZrwQk2Um26abLYzVQKSnjmEnj+GIvw5NlaN5pfRUvvwUvtIH/rnsQ2r6NF2jOTqioCU6MJIrkYLJOfe2GWMohn4RhJnZDdGIIYWqj/fuySRSCSS80jWKbFj6Bgh3SSgG6e1jb/dv42MUy3svC5QT224IhYBrDj+KKFSb1Wf3PL34gRawXf4wnPV1UnxgM67Ny6j78jB09qngu2RKblc2RRlRY2sUJZIJJJLjfnEIuHZjG77f8F3prQqJDb/BapRqV71S6PokRa0QAKo5Km/MHwc2/OoDYTx/XM//ugLwd70ANsGKjZzu0Z78RahuoQ0kytizXSGW+gMNVFrhpdMILJdnwP9RZ455HPi5eMcHrLxFykQRUyN65cluL4tzqa2BCtr53fBmg0hBEWnYjcnBIRNjVW1YeojFjFLR70MRKKpSMFIsihO5NP05EZoWoBYVHBcekbzxAOTDw9H88N848izVf3CusUHOl+LpqikCi7/sK3aii4e1Hjn5tmt6IQQpJwCXZFGokb1bPHhvEN7PEhTTM4il0gkkosRYcaw667BrrtmstGz0XNHxoSkg2M/D6N6i/AxFj5upgc300PxyI8nmtVgPUayIh4ZidUYyS60SCvKBRZKet5QdVQzRnnwRQLNW1DNyPneI4lEIpGcB4quw2+GT6CgEjEWnwEAcCQ3wnd6qq1+rg4kuSZRjza2zXjmFZb1/1tVHzu6jnz7HyLKKX420sQrJ/uqlv/J5nailk5168JIFR08T7CpLUFD9PSOSyKRSCQXLvOJRQDZl/8WN9Vd1RZZ9y6s+oo1t/A9hO9gxFcC4I45MaWdMg2Bc/t8NFTK8+xYDtGzg0dJ2Qt/JlaAFeF6Voeb6Qw3szxUS8AwlkQg8nxBz3CZ3b0FXuktcmCghOONK0T2grYRNFSuaamIQxvb4qyuj5xRtY8Qgrztkbcr4l7E0ljbEKE2ZBIL6Jf1hBEpGEkWTMYusWu0nxorPK9i6wtBz3ABVVEmTjIlz+HL3U/hiGqV/U9WvppaK4IQgkd+PUj+FCu699xUT2QOK7qUXaDBitIYqBaxCraHriqsaYhc1l9yiUQiueTQTNx4F268a7JN+GiF/ikCUsXaTisPL2rTfnGQcnGQcu+vJ9oUPVQRkRJd6GMVSUZ8JYp2/m0GzgeqEULYLuXBlwg0bbps3weJRCK5XHF8j5dGTlByHerOYGDs/9v9y6pMWx2FN9euwjQrQo3mFVl76EEUJqcc+4pBet1/Q/gujhLgy9tHqrbZnghyx/rmRe+LEIKBnE3U0rimLUk0IIdKJBKJ5FJjIWKRPbiT3J5Hq9r0+Cqi6/9k4v9+eRQj2o5qxfB8n5dH+xko5RY0uf5MsT2Xl0b72DbQw7bBIxzIDM2/0hQSRpA1kRa6ws2siTSRDISXRCASQnAiZbO7t8grfUX29RenRY/Mh6kpXN0SY1NbguuXJbiyMXLGmUETIlG5MjYdDxpc0RCiNmwSsTQ5fjyGvAuSLAjbc3lpgblFAEO5MkMFm7rw5CDS3/f8mr5SuqrfG5qu5NpkOwDPHs6x42h14PnmFRGu75j9IaTo2uiqxopwfZWI5QtBquhwY3uSgHFhBMxJJBKJZAlRVLxwC164hXLzqyaa1fIoeubwhJ2dkTmElj9eNfg0H8ItYA++hD340pTX09Bjy8cs7bowkmswEp2oVvxsHtWSIoRAeGWEW0C4pbGfRXyn8rPyb6xtrN3MqYhVHWiBJG7hJPbIXsy6q2QFlkQikVwmeL7PrpE+RsqFBVmUz8Zzg0f5xclDVW2virbSEZ28jq48+gjB8smqPtmVf4IXXo4oDvO9Y7X0ZaqzDj+4dTmGpuJ5Cx+Ucn3BQLZMazzAVU0xTF1e0yQSieRSYyFike8UGN32aZhqf67qJLf894lJcsJ3QXjo8eUIIdiXHuB4Pk1TMLo0+y0Ex/KpSg7R4BF2DB2n6DnzrziGrqisDDewOtzCumgz7eFagoa2JNl8QzmHV3qL7O4tsLuvSLq4OFs+TVW4qinKxrY4m5YluKo5hnUWrsm+EOTKLkXHQ0EhHjBY3xwiGTKJWFIamQn5rkjmpXICHCS7wNyisutxaLhAPDhZvvfLwQP8aqi6nHNFuI63t20CIFN0+ftnqm/2owGNP94yez6C6/sUvDJXxZdhnSJiDeZsVtQEpY2ARCKRXOb4VhK7Poldf91Em+KW0HM9kwJS+iBG9jCqv7BSeACEh5s+iJs+SLHnhxPNWqgJIzmlEinRhRZuPuOZSsJ3J4Qd3y0gnEkxpyLoTBF9xpb5p4g+48KPcIuIMVGIRQhnAEFg9Bd7qL3lC2jBBtzsURQjgplYeUbHJ5FIJJILn/GBsROFNM1nIBZ5wufzu39e1RZRDW5vnLyWJNMv0jrww6o++egVFNv+AOGWyHgWX3+xurro2tYYr11Vu6h9KTkeI0WHNfUROuvCl11GgUQikVwOLEQsAsi8+EW83PGqtuj6/4CRnHS28Esj6LEVqGaEA+lBDmaHaQxGz2plSs4ps33o2IRI1FvILGr9BivG6nAza6PNrIu1ELesJRGIMkWP3X0FdvcW2d1XYCDrLmp9VYGOqM7NnY3c0J5kQ0uMkHl2Jv17viBnuxRtH0WBupBJV12YmpBJyJRyyHzId0gyLyfyaY7kRhYkFgkhODJaxEdgapUveW8xxSM9v67qF9QMPtB5C7pa6fP3zwyRK1fPAnv3lnqigbmt6DrCdSTMUFV7ruwS0FW66mWugkQikUimI/QATmItTmItEw7PwsPPHscZ3U8430NN/iha5iCinFrUtr1CP16hH078YqJNMSIVESnRhVEIUlBfRnilGcScU0Wf8bbiKYGr5xd74Dfk932TyLp3ogUbcEb2oJkRtFDD+d41iUQikSwhh7LDHDoLA2P/evQVuk+x0Hlz3UpCeiX7VnPzrDn0harlrmqRXvfnqIqG74zy9wcSZMvVOQ33vGrlovYrU3IouT4bW+M0x4OneTQSiUQiuZBZqFhU6n2GQvd3q9qMuvVE1r5zyrYcQEGPd3AkN8Le9AANgSjaGbot+GMTMrYNHmHbwBF2jvZVWbbOR0A16Aw3sTbazFXxZSwLx5dEICo6Pvv6i7zSWxGJjo0uYsLlGCtqgmxqS7CpLcE1LTH6jhxk9erlaGdhf12/UklUcnxUBeojJusagiSCBkHpPrUopGAkmZO0XWTXaN+CcosARosO/bkSdaFKqabtu3zpwJPYfrXK/N4VWycyh57vyfFcT65q+ablYW5YMbvgk3aKJM0QraFEVbvnC7Jll80dSSxdngwkEolEskAUDTXWgRXrIO95nHDKWKrGGt0hWTiKl+rGGT2Ak9qPlz22qE0LJ4c98AL2wAuEgMzxeVe54Mns/CpWy00Y8RWoVoLywIsEWragmktjxSCRSCSS88uJfIo9qQHqA5EzGhjLuzZf2ftMVVuLGeY1ydaJ/3ce/TsCdrWgdKz9PQTD7Qi3RG/R4rHdqarlv7WmniubFnYNEkIwlLcJ6Bo3ddQQDxqndzASiUQiuaBZqFjkl9Oknru/qk3RgyQ3fwpFnRxb9MojGIkuTpZtdo32U2eF0dXTuyYOl/M8O3CUbYNHeHbwCKN2cf6VxvcNWBasZW2kmSvjy1gbayRonP0hfscTdA8UeaW3yJ6+IocGS3iLM6igKWpVBKL2ikg0NbrE83z6znAfXc8nOyYS6ZpCY8SiuTFAMmTIceEzQApGklmxPZedI32Ymj7N8m3m/h7dQ3ki5qQV3TeOPMvx4mhVv1sa1nJjbcVuIFvyeOTX1VZ0EUvl/5nDiq7sOSAEq6L10x5WhnI2K2vC1IWlFZ1EIpFITg9L02jUQhQ9l5dsn0igi65V19FoBVEVBd/J46S6cccEpIqQdBAWY2l3QaKg6EEUI4SiBVD0EKoRrLRpFqXjP2fCws63SW37H9S9/m9Q9SCeV6Y88BKB5hsm/L0lEolEcmkwVMrz4kgvNVZowiHidPn6gecYsQtVbe9oXD0xObFmdDvNgz+pWj4QuRKv7U4AfCfHV3dHcP3SxHJDU/jTm5Yv6PU9XzCQtWmKmlzVHJN5txKJRHKJMikWDaGHmubsm97+Ofxi9USF2LUfQo8um7K9MoqqkTZqeGGkl6QZwlzAWOk4ju/x0kjvRBXR/lMy+OYjqgdYE2nhyngr1ySWURMIzb/SIvF9Qc9IuWIx11tg/8kS9iIVonhAn6gg2tSeYFk8cFbt+gCcMZHIdgWGptAYtWiOBkgEDZlDeJaQgpFkRsZzi3JOmYYFBrcdT5VwPJ9ooDJQ9OzwIZ4a2FvVZ1kwyR913Djx/3/YNkimVB2C9q7N9cSDM380feGTdUqsizUTPGVAKltyCZkaXfXhBe2vRCKRSCRzEdR0gppOwXV5IT1CzDBZHY5Rb4aw6jdg1W+Y6Ct8FzdzBGd0P07qQOXn6H6EvTi/6QWjWahaAMUIouihiqijB1HHfx8XfYwQ6tiy6n7ByX7jyzRrzpv51I7PU9j/zYn/OyO7ye35B6JXvgfNSuAWTmIP78asvxrlDG0ZJBKJRHJhkLaLbB86RswILGgS4VycyKf5x4O/qWq7OlzLFeEaAHQ3y5rDX6xa7qoB9q/8EKs0E+EWeXnU4qnD2ao+77imlZZ4YN7XL7s+wwWbzrowq+sjaDKvSCKRSC5JFiMWFY88QfHoE1VtVvNmQqveUtXmlUYoRFexIzVA1LAILOCaeNLOs6tnJ88OHWPH0DEK3sJtxjVFZUWonitjrVyTbGNFpPasCy9CCHrTDrt7C+zuq1QRFeyFW+EBBA2V61rjbBwTibrqF+ZQtVhs1ydTdnE8H1NTaY0HaIhYJILGktjvXe5IwUgyI4vJLQJIFx1OZErUjJXzD5QyPHz4l1V9TFXnz7puxVQrH7vfHM3zzKFqK7pr28NsWTm7Fd2oXaA1lKQuUC1ijftU3rSiRp4oJBKJRHJWCek6IV0n5zpsTw1RawRYFYlQa0wKLIqqYyRWYSRWAW8EKjfgfmFgogrJHtlLfuQowUgCdVyo0YJjVTyniD5GZdm4IFQt+gRQ1HN/Cxdd/x/IHvkZWrl/oi378tcItG7FSHSiBRtws8dRjAhmsvOc759EIpFIzi75sdBtS9UJ6WdWPSqE4Iu7fow9JZNBReFtDZNB4l09D2E51e4UL7X+McnYChRFwbVzfGlXtTAUD+i8d1PbvK+fK7vkbY9rW2K0xoNnfdBNIpFIJBcGixGLvMIgqe1/VdWmmDESN9xbdZ3w3RIFofNSySOgW3NeE4UQ/P3B7Xz/yC5OFBY3ebDejLIu1sqGxDKuSrQQ0M6+ZepwzmF337jNXIHRgjf/SlPQVYX1zVE2tSW4oT3BlY1R9CUahy25Hrmyh+sJLF2lPR6kIWoRD+hL9pqSClIwkkwjbRd5ObXw3CLP9zk4kieka6j/f/beO8yuq7z3/+y+T58zfaQZdVmybEluslxkwKYmJDcQwFwgCcVwCSUxkJBf7oVAIIHcGxJunJAQYkLwJSShhUDABhzAgLstq1m9t+lzet1t/f44o5nZmhlNUbHK+jyPHp15995rnzNl773W932/r6rgBT5/d+CnVE9Tzt+65DYWRJoAKNd9vvzYYGh71FR5+21t0z68l9wacd1iUbR50rbhUp2VbTGao9IGRyKRSCTnh7huENcNCq7D09lh2i2b5bEkaWPqe4+iKGixDrRYB/bCOwgCn8G9++hedRXqWVr6vBAoukV10TuJH/g0nFrwCzxyT36S1ld8CUXV0aLteNm9qEYcPX7mCZpEIpFILl7qvseWkZMEApqsmat3zoQQAVuOb+HHQydD8TvTC+m0Gu4QrZkn6Bj5WWj7cOp6ettezvV6o7rokT6LnYO10D7v3LiIhH3mZY2RsoOmKNyyOC3nixKJRHIZE+5ZdOa5iBCC3NOfmuQI0XTTh9Gi4TYZleoI22hBUU0Sxpnvif/vwLP87Z7HZvV+LVVnVbyLtU3dXJfupt2eXdL+XCjWfHb3VdnVV2Fnb5WBwuyrnKDRL2llW5SbF6W5uSfNdQuTRM6jnWvN9SnWPfygUb20JB2lLW6Ssg1ZGXwBkYKRJITje2zL9GGqxqwtB07ma1Qcj5bRvkFfP/4Mh8th78/bWlewqW08e+yrTw2Tq4ZV7LdsbKUpOvU5ncDDCXyuTi2Y5Judr7kkbZ3lLdKKTiKRSCTnn6RhktAN8p7LE5khFtgRlkbjpKYRji4n/NhyYqvfTHn3P4/F3Ow+Sju/TGLtO1FUHcVK4wxtQzWiqNa5n/RIJBKJ5PziBT7bM72UPIc2e3r3h9kgRICTP8x9+zeH4lFV51dbG31tDTfPVYc/H34PWoxne95FlxVHV1SqtRJf2BHOtO5psnnduq5pzx0IQX+xTnvcZt2CBFFTLn9IJBLJ5UpYLOqYcf/Kwf+g3vdkKBZZ9HIii18eitXqJbZVXfymJlqtyBnH3JMb5O/3PnHGfXoizaxNdbM+3c2KeAe6em4rZWpuwN7+6mgVUYXjGYe5dSGChSmLDYtS3LqomRt7mkjZ577SaSIVx6fquQSiUUywvCVGW9wiaemoUiR6QZBPTJIxhBDsyQ9SnkPfolLd43iuStPoxWNL9hg/7N8Z2qfTTvHWJbeNfb3teJlHD4R9p9d1R9m0YupzCiEoOFVWJjqI61Zom+cHVJ2AG5Y2y3JEiUQikVwwFEWhyTAJdMGwU6evXqXbjrI0Gieun98H6hcKEXgoXon4NfdQ730cL39obFtx5z9hLdyE2bwaVbcJ/Dr1oa3YnRtRTrt3SyQSieTiJRABO7P9DNZKdM7Snnw6hPDxcof54Ynn2V2phLb9autS4poBQrDyyN9jevnQ9n2L30nVaKHFsBFelf84bNJbdEL7vH/T0jPakY/UAtY12VzblZJzRYlEIrmMmatY5BWPU3juvlBMjbSSuun3w/sFAdszJ6hEF9E1wz2x5rl8bMtD+CLcAyih21ybWsi6pm6uTS0kaZxZdJorni84OFRj52gfooODNfw5KkRNUY3rFia4ZXEzty9qoTN5dpXFM+EFgorjUa57jFQDuhFc1RanNWaStHVpG3sRIAUjyRjHy1mOljJ0RlKz2j8QgkOZMoauomkqI/US9x/6eWgfQ9F434o7x3w3K47Pl06zoosYKu+4vX3aC0LOqdBuJ+mYojRzqOSyuiNOU+TyXJyTSCQSycWNqig0mxa+EPTXq/TWqiyKRFkcjRM9y+bgLzRCCHwh8ITAqeWoOyXygU+1Xqbplo8x/KN7QIxWCwuf3JN/Qtsr/wlFM1GtFH51kPrITqz261AUuVAnkUgkFztCCPbnhzlezs26l+30Y/m4uUNUSr38Q29faFuHEeHOdDcA7Zlf0J55PLR9uOlmDjbdTrNhEdF0svksD+wK30fWL0hy5/KWac9fqnskTZVrO89fbwWJRCKRvPDMVSwSgU/2yU8i/LDFadPNH0G1xtdDAyF4PtvHsDDobuqecdy/2f0oR0rhPny3RxbxjjV3oevnzsItEIJjI3V29lXZ1Vtl70AVx5ubQhQ1FVZ12ty8qInbFrWwujWFeo4rnSYihKDqBpQdj0AIVEWlNWawNG2TLJrctrQZXb+0586XG/KnIQEgV6+yMzdAixWfVd8igP5CnVzVpS1u4YuAzx94hLJXD+3zpsUbWRQbf5D/16dHJjVUe9PNLTTHpv5VrHgOlqazNN46SVDKVV3SUYOlzdFZvV+JRCKRSM4XmqLQYtp4IuBYtcLxapml0QQ9kRi29sL3KxKjwo8ngtH/BV7QeO0LQd33cIKAugioBz71IMAJfHzfxXOKaGYcLb6Qw0qdoeE+UvE2ule8EWv/v4ydw8sfpPj8P5Jc/x4AVLsNv9yLm41jNl/1Qn10iUQikcySo6UM+wpDtNuJWc8Jp0IIDzd3iKAyyNdHigw64TniG9pXoisqppNl5ZF/CG1z9QT7lr4Xh4AOM4rwqnxlr07R8UL7feCOpWfMQC45Ht1xmaUskUgklzNzFYsASnu+iju8IxSLrngt9oJbx8cVgr2lPMdLIyzqvA5VPfPy+eMDh/nGkW2hWE+khbviy87qfnrqvfQXXHb1NvoQ7eqrUq4HMx84AVNTWNZucHVXhNsWt3BDVzMJwz6v98i61xCIHE+gwFgrkeZoo4rI0FR832fEUOW9+iJECkaSRt+ibC/WHPoWVVyPI9nyWGXPt088x/7SQGifDc1LuKt99djXz5+s8LN94WZy1yyI8OKrps5e84KAqu+wtqkb87SLs+sHOF7ATd1NsumZRCK5otiR6eOvn/8pW4t5nji8i65InE47RqcdodOKXPJVLZc6uqLSZtl4QcDBSpHD1RIronG6I7Fz9tAVTBR+gvHXvhB4o2JP458/9r8rgoY1gRA0nscVxAQ3a1VR0BQVTVHQUTAAw6+gKQpm+9Vo0XaEgJxdoDMF1VqGgz2vYWnf40RKR8bGKe76Cm7nbSTb1mKoKlqkHS+3D8WMY8QXnKPvgEQikUjONX3lPM/nBmiz42fVT6EhFh3ArwyTVWP888ktoe2ro2nWx1tBCK46/LcYXtiqfN+Sd1PQE0SEIKmZHB8e5lv7w+d4+VWtXNs1fQVUzfOJ6BpJS1YWSSQSyeXKfMQiN7uf4o5wooIW7yZ53e+EYgfLRQ4UBumMt6JGms84ZrZe4U+2PRyKGYrGe5a9CGcoP81RZyZT9tjdV2Fnb6MXUabszXzQBDQFFrcarOg0uaYrysbuVtojcWK6ddYC1nScspmrugFCgKWrdCXsRi8iWydivPBJlJLZI1eVrnCEEOzODVBxnVn3LRJCcGSkgqIoGJrK8/mTfK83rKS3WnHevnTTmEpcdQP+8dGwFZ2lK9Na0QkhyDlllsZbSU3h7zlUcrimM0FKWtFJJJIriIrn8IoffoHBWgmA5/pPTtonqRt0WpHRf/aYkNRpRei0IyQ0mW17IdBVlXYrghME7CsXOVwts9yO4YqwXYAvglHRZ2L1T4AvBO4Uwk/d9/GEIKCRqQUKhKQfBU0J/7NUjaiioynKrH72wqsSOCW0WAd6YhGq3vCwFqP2c3qyh4iTI2bYlK/7fezHPoAivNGzB+Sf/BOeu/kvSNox2kyLhBIj0r+FdE8sZPMgkUgkkouDTL3C1mwvaSOCoc5/QUcEHm52P359BM1u4R8OPE8tGHeXUIA3tq9EURQ6hn5Ca+6Z0PGDzbcz1HIHFafG8kgSxa/xDzt1vGB8oczQFN53+9Izvo981WNlS5RCWT7vSCQSyeXIfMQi4Ttkn/wETLinoKg03fJHqMa4c9GxSok9pQKtqsBKLj6jtbYQgk9v/zEj9XCfvjf0bKAr0sRRZicYleo+u0ct5nb1VejLu7M6biI9zSYrOwxWdJis7oywKJEibcaI6/Z5EYmms5lb0WKRihjETR1VJvhfskjB6ArneDnLsXJ21n2LAIZKdYYrDq0xk5xT4QsHHmHi8pemKLx3xV3EJjS5/tozw4ycpoi/cUMrbYmpBZ+CW6XZirEgkp60LVNxaItZLE5LKzqJRHJlcbKcHxOLpqPguRQ8l33lwpTbo5o2QVAaF5I6LZtOK0LaMKWgdA4xR4Wjuu+zq5RnqFakmhvBFQJn1BJuXPyhcT8Vjf9VZbL4E9Ebwo/G7MSfORF4+E4OVbOxWq9BsdJTnkPVI2iJHrzCEUguo7TyTST2fWVsu105waKj32Bg5W9xoFwiEILAqxDd818sXHgTLdE0ccMkppuosreRRCKRvKAU3Rqbh48T1Uxsff7JeCJwcTN78es5NLuFveUCDw2GE1s2pRbQYyew6sOsPPrF0DZHT7F/yW/jiQBVUUgbNtt7M/z0ePg8d69fwMLU9M24vaBRSduVtJj6SUgikUgklzLzEYsAijvux8sdCMXiq38Dq2392Nd9tQrPF/O0KB6WlUaxms445neP7+Rn/QdDsavjC3lF5xpEMH1foboXsG+gxq7eRhXR0ZE6c+tCBB1Jg9WdNss6dJa1G6SjBh1Wkmbr/IlEp9vMJWxtks2c5PJACkZXMKf6FrXOoW9R3fM5nKmQsnUEgi8c/BkFL9wo7u6eDSyPt419vauvwk/2hB/Xr+6McNfqqW0Ear6Loigsj7dPel+O18jEvqYzIa3oJBLJFceKZCu3ti3miaGj8x6j4vscqpQ4VJlaeDJVdaw6qcOK0DUqKnXYjdctpoUmBaU5Y2kaHZZNHpW676NpGlHdGBOCXmiCegEROOjJReixBSgz+HTrsU6CSj/Cq1Jedjd2/xMYhfEJWPzwv+N03oqbXgOAEDbV6gjH+rZzNLkMVAVT1WmxIrTacRKGRdywziqzXSKRSCRzo+q5bB4+gaqoxA1r5gOmQfgObnYfvpNHi7QihOCvDu4JLX5ZqsZr2paBEKw6/Dfofjk0xr6l78U1kpS8Oh1mFN2v83c7VGC8T0PS0nnHzT1nfC+5qktPypbWNxKJRHIZInyX+tC2OYtF9aGtlHb/cyimN60ksfZdY18POzW25bOkdQPDLaMnV50xQe94Ocdnn/9ZKBbXLP7H8jtQlLD9txcIDg3V2NVbZWdfhQODNfy5tSGiKaKxZkGUVZ0Wi9tVUlEVQ9Fot0+JRBbaOU7GkzZzVy5SMLpCqY/2LbJVA3OW/S6EEBzNVvEDgalrfPfkVnYVekP7rG/q4ZWd146fxw340mlWdKau8I5Nk8UggEAEFN0a1zYtxNbCGW5CCIbLDuu6kiRs+asrkUiuPBRF4ce/9B6+sv8Z/nXnU2gxm75qkf5KkYxTmXmAWeAEAceqZY5Vy1Nu1xSFdtOma9TqrsOyQ6JSh2mfVe+Dyx1LVYnpOsrFIoz4dXyngGal0VNrUI34rA5TVB09uQQnsxvNbiW//vdoeex3UIJT1nSC1LbPMnzH50BrNFSNRlqwq8NoXhYjtQQ38Mk5dQaqJQSgoNBkWrTacZqsCHHdwpYWihKJRHJecHyPLSMncXyfFjs273GE7+Bm9hK4RTS7BYCfDA+wo5QN7ffqliWkdIuuwR/SnN8a2tbf8hKGm29BCEEQCFoNm58ezvP8cPhc92xcRNKevgpKCIHrC7qbpBOFRCKRXG40xKKt+NXhOYlFgVsh9+SfwMQ0BtUgfcvHUEbXHXOuw3O5DHHdwPDLqJFWFGP6XnleEPDxLT+g6oet497UfRvNdgwhBMcydR4/FvCtfX3sG6hR8+ZWQxQ1Va7ujLBmQYRVnRbJuMALAkxVo91OkDZjJAz7nIpEp9vMKYpCa9SUNnNXIHLV/QpECMGeOfYtAshWXfqLNVpjJnsL/fz7iedC29NGlHcte1FoYecbm0cYLIat6N5wYwsdyakf9LNOhUXRNM3m5ElLpuLSlbDoaZrc00gikUiuFCxN541Lr6PcN8Rt16xHHRUeap5Lf7VIX7XQ+L9SaLyuNGJDtdKcy9ynwheCvnqVvnp1yu0K0GbadIxa3I33UGoISx1WBEu7SMSSKxkREDg5QMVIX4UWaTujP/dUqHYLmpUmcIp4icWUVv4mib3/NLZdr/SS2PsAxTXvbgQUBdVuxiseRzGiGNF2UqYGNKyFfBFQ9VwOFkcICgIQRHWTVitGix0jpjds7DQpSEokEslZ4QcBz2f7yDvVOc0HTyfw63iZPQReBdVuNAWv+z6fO7w3tF+zbvOydA92fYDlR78U2lY3mjmwpJHhXQ08ErqJ6bn8/fONHn2n6E7ZvGF91xnfT7Hu0RYzSdk6QTDH1G2JRCKRXLTMVywCKGz9G/xS2CI1sfZ/YKRXAlDyXJ7Lj2BpGlFNxXdd9PjCMyatffnA0zyf7Q/Fbkmv4PaOpZTrPp/5YS+HhuujW6aeN5+OoSlc1WGzpivKNQsidKd1qsLFC3x0BdrsBC1m/JyLRM4pmzm/YTMXt6TNnEQKRlckx8pZjpdzdESmV8tPx/UDDo6UiVs6Ja/O5w/89LQW2wrvWXEnCWPcT3pvf5WHd4UbvK1st3n5mqn7JRXcKgndpjvaMmlbzfMRQnB1R0Kq2RKJRDIFtm6wJNHMkkTzlNvdwGewWqK3WqD/lJh0Sliq5BmolfDF2UtKAhh0agw6NXYUc1PukzbMCT2U7AmiUuNfTJePJ+cT4VYQXhkt2oWW7EbVpu8FcSYURUFPLqY+vA0Cn/KyX8caeAIzt2dsn9iR71DruA23ZW0joGpoVhI3tx9Vj6Ca4wuV2qgl0ilbJCEEdd+jv1rkWDkHCHRFpcWO0WrFSJg2cd2cdaW0RCKRSEaTB/MD9FYKdM5hPng6gV/DHdmD8Guo1njf2X86coQhN7w49vr25ZiKwqqDf40ehO3M9y77HTy9Ud1a9T0Wx5L8++4ivac55/7OpqUzLlqV6z5rOpKyMlUikUguI85GLKr1Pk7lwLdDMbN1HfHVbwYa953n8hlAIaEbBPUcWrQjNEc5neezffzjvqdCsXYrwRu6b0ZRFP59S2aCWDQ9qgLL2mzWdEW4ZkGE5W02qgoVv44beFSDYEwkiuvnzsXDDwTl02zmOkdt5hKWRtSUcyuJFIyuOHL1KrtyA7RYsTk1QDuRr+J4Aemowf/d93Oybtj66LXd17Mq2Tn2teMFfPHRwVA2u6EpvPOOqa3onMDDFwErEu2TLoJCCDJll+sXJolZ8ldWIpFI5oOhaiyMpVgYm1q090XAcK3cEJDKWXrLI/SVc/RX8vTVKgw4dZxzICgBZF2HrOuwu5SfcntCNxpC0gQRqdMe/zqpG3IxaD4EHn49h2pEMVvXos7QxHU2qGYCPbYAv9yPajeTX/chWh99P0rgjO2T2v5/GbnjbxH6aIWwZqEGHm5mL0bbtdMKVoqiYOtGqAm7G/gUTtnYCVBVSBk2rXaMJjNC3LCIaPL3QyKRSKbjYGGEQ8UMnZH5CyuBV8PN7Eb4TuhecrRU5ZsDh0L7Lo+k2JDoYOHA90kXnw9t6217OZmmG4DG9d1UNah7PLA7fL51XUnuXDE5qXAiVdcnZmm0xsx5fSaJRCKRXHycjVgU1PPknv50KKboEZpu+RiKquEEPlvzGeqBT4tpQ+AjAg89vmDaMSuew8e3/DCUaKkqCm9ccDut0Qi5iscjewvTHt+TNlmzIMKariirOyNETBUvCKj4dQp+BSNQabESjeQ4PXJORKKJNnN+IFBVaTMnmRm5+n4FUfc9tmZOzqlvEUCh5nIyXyMdMfhh//Nsyx0PbV+TXMCvLlgfin3ruQwDhbCX5+tuaKYrNfkBPhCCglPlqkQHMX1ys9WRssOCpMXClLSik0gkkvOFpqh0RBJ0RBJc17IwtE0ELoFbZqSc4WShn75yloF6lT7HYcBxGXAc+uo1qoF/Tt5L0XMpei77y8Upt0dUbawq6ZT1XddoD6VOy6bZsOaUFHHZIwSBU0AIDz25BD3eiaKcu0dALb4QvzIIvoMf76a46q0kd98/tl2v9hPf8yWK175vLKYYMYJ6Di97AKNl9azfj6FqGKZGctTGLhCCqu9yuJjFE8MoKEQ0gxY7SqvdaP4qbewkEomkwYlSjj35Adrt+Lzvk4FXxR3ZhQg8VGs8CaXmBXz+0AFqIvws8Mb2lUTrfSw7/kAoXjPbOLjoHWNfl32XhVacf95apeiEduUDL1o6o7hVqLlc05FEk4teEolEcllwNmIRQO7ZzxBUw83wktffi57oxgsCdhRy5D2Xdqux1hi4BfRYF6oxfV+/v9r5c46Xc6HYL7WvZ21zI4H+BztzuP5EMQk2rUhw7cIoa7oiJCONOY8vAspenUrdR1NUWswYbXaChG6jn4Net9JmTnK2SMHoCkEIwe7cAFXfo92eXUNraPhbHxwpY+sqhyvDfP34s6HtSd3m3ctfjDrBP/PgYI0f7MyF9lveZvGqa5qmPEfOqdAZSdFuT7ZEqLk+qqJwdUdCZgtLJBLJC4SiGmhWE+1WE+3Ny7hOeAi3SuCWCeo5gnoOEbgUPJ8BTzDoBfS7Lv21Kv31Gv31Kv31KgXPnflks6Aa+ByulDhcKU253VRU2k8JSXajb9JYDyU7QqtpoZ9D3+eLGeHXCZwCmpVGTy1BNWb/DDBbVM1CTy7Gyx1EjbRSWfJr2P2PY2Z3ju0TO/Z96p2347ReN36c1URQHcYrHEdPLpnXfV5VlLHeRqeo+R6D1RInyjlAQVcU0laUNjtG0owQ000saWMnkUiuMIZqJbZle2m2YvNejArccqOyKAhCYlEQCB7tz/N4sTe0/8ZkB8vsOKt3fRotCKtAe5b9Lr4ebRwvBIEApxLw7wfD53zZylbWdp3ZOs/zA1RFoTM5OflQIpFIJJceZysWVY8+TO3Yf4ViVtetRJf/GoEQ7CrmGXRqtJujTgeBByJAO0N10c/7D/Ifx8KVslcl2rmzdQ2WrlGs+fx4d9hB47pOhXfc1oaqqfgioOjWcAIPVVFoNeO02gmS50AkmspmriNu0Ra3SNq6tJmTzBn5G3OFcKyc5UQ5N2ef6r5CnbLjY1uCz+/+Kb4Ybx6qAO9e8RKazOhYzPEC7n90gImuRboK79zUMWWJY9mrY2s6S2KtkxaKAiHIVFxu7E7Ji5tEIpFcRCiKjmImGt7OsU6E8BFelVavQrqWZ1U9SxC4KCIOqoGq26BZVDxvTDwaE5Jq1bFYxnVmPvkscETAiVqFE7UKTOF6p6HQbtlj1UkNy7vxnkrtVgTzUq9ICXwCJw+KhpFehRZpRTmPIpkWbccv9yPcCooRJb/uQ7Q8+l5Uf9y/O7X9/zJ8x+cRxvhzg2ql8UonUIzovCaDU2FrOvYEQcgLfEquw3CtjKDx/JIwLNoi8YaNnW4S1U2ZmCKRSC5bcvUqm4dPkDTseQvmgVvCHdmNAFQrPKc8VvD514H9BBMMyQ1F5dfbVtDT/11SpT2h/U92/DK51Lqxr8u+S4tp809POXjj0010VeF9m5bM/PmqLoubolj62WdlSyQSieSF5WzFIr8ySO7Zz4RiipmkaeNHANhbynO8VqbTiow9/wdOAS2+EFWf2tlouFbmT7eFBaiIZvCGrltJRxrJCj/alaPuTej1rsDti6Dk1XC9RmJDixmn1YqTNCIYZyESnW4zp6kKLdJmTnIOkavwVwDZeoWd2UbforkshpQdj2PZCilL4+8PP8JQPWwN9CsL1nNtKmxb9J2tWXpz4Qzy117fzML0ZCs6L/Cp+Q7rmnqmvFCOlF0WNUXoSs6vGbdEIpFILgyKoqEYcTDiaJF2hAgQXg3hVfDrOUQ9R+AUsRVYousstZMoalvjKXoC9cBnoF4LiUhj4lKtyrBTI5jmPcwFH0FfvUpfvQpkJ38eoMW0JvRQsk8TlSLY2sW7KCXcMoFXRY92oiV7ULXzn3GtKBpGcgn14efR9Ah+rIvSqneQ3PX5sX202hCJPfdTWHvv+IGqhmamcLP7UXUb1Zy6x9bZoKsaydNs7Gq+y5FiFi8YRlHA1gxarFjDxs5oVCydCzsIiUQieaEpu3U2jxzH1nSi+vz6+wRuCWd4J4qioZrhStXhisdPBgfZW8uE4q9sXkSPO8jS418NxatWJwd73hqKOcJnJAM/PRE+793XLaB7BlvyQAi8QLCwSc4ZJRKJ5FLnbMUiIQS5pz6NcMJ9hJo2/AFapJWD5QKHKyXaJ4hF+B4oKlqsc4oRG2N+atvD5JxqKP4bi2+h3UqiayoVx+fhXeFMxZsWRzCtAnHdpiOaInWWIpG0mZNcSKRgdJlT9z22ZXqJ6nPrWxQIwaGRCrqm8PORfTyTORLavjLewWu7bwjFDg/X+P6O8MLbkhaLX16bnjS+EIKcW2FprI2kMXkSUHF8dFVhVXtcZvxKJBLJJYaiqChGFIwoWqQVIQTCr4FbwXeLBLUsfn1kdF8dRbNQNAtL1VgUibEoMrVvtBcEDDqNyqSBeo2+UWFpYFT8GazX8CaWuM4TAQw7dYadOs8Xc1Pu02SYY0JSx2gPpU4rQofdsL6L68ZZv48543sETg7FiGO1XhtqRH4hUKwmtGgbQT2HajVRWfxqrIHHsEa2j+0TPf5Dap2347TdNH6gZqLqUdzMPozWtY2KtPOIqihER6uKTlH3PYZrZU5Wco23pKg0mRHaI3GShk1ElY/MEonk0qPuezw3cpJAQJM5v2tr4BRxRnaiqHojOWQCFTdgb8bloXzYRy6lmfxSczerd38EVYwnEwoU9iy/l0Abfy+1wMNWdP5huxcaI2npvOPmnhnfX6Hm0RG3SNovwH1XIpFIJOeMsxWLACoHvk29/8lQLLL4FUQWvYxjlRJ7SwVaLRttwjqj7+TQk0tQtanvk986up3HBo+EYre3LWVVZDGpSOPe8+PdeSpOOLXxrjUxlrkmq5NdaPMQcybazAGYmrSZk1w45G/XZUwgAnbNo28RwECxTrbqUFVK/MvRp0LbYrrFe1a8BG2CtY3nC774i0GCCet0mgrvuqN9ysajebdCqxlnQaRpivctyFVdbl6UxjZkdq9EIpFc6iiKgqJHQI+gRloguYTAr4FbHRWQMgT17KhdmIKi2SiaBadlYOmqygI7ygI7OuV5fCHIOHX66hOEpNE+SqdEJSc4FzVKkHMdcq7DnlJhyu1xTW8ISXajQqnDitBpWnhOlVIxR6Cooz0bBD5irH/D+OtwPEDgi6m3+SLA96oEQoCZRBgKQWZXYz8RjP4vCBAEIsAPgrHjG2MGZ37N+Gu97rHJrHBT6yJWJFtDTdMVRUFP9FCvjTR8wFWdwtoP0vKL96L64xl5qR33jVrTjT+bKEaUoJ7Hyx3AaFmNolzYR1RL00dtmhpJLF4QUPUd9uQGEUAQBGQqI1zte0Qv4uoyiUQiOYUX+GzL9FL2HNrmOBc8ReDkcUZ2o6hmIxFk4vi+4GDW45lSH31OObTttW3LWdn/HZLl/aH4ic7/Rj6xJhSreB4DAwbPj4QTPu7ZuIjULESgquuzfsHcbNclEolEcnExJhZVhtCnqfSZCa94nMKWvw7F1EgbqRt/j75aheeLeZpNO9zL1ndQVB092j7lmEdLGe7b+YtQrMWK8oYFt6IrGoqiUHeDSX3c1/VYbOhqo3JiaNbvX9rMSS4mpGB0GXOslOXkPPoWVV2Pw5kytgl/ufunuMIPbX/XshfRYoUnHd/dluF4Ntx74tfWN9PTPNkGp+o7qIrK0nhbaKHpFEMlhyXNEdrj87NMkEgkEsnFj6rZoNmodhoSixC+07Cwc0qIWpbAzSMC0RCbRiuQmKHKQ1MU2iybNstmHdNVtzr012uTRKWBUeu7su9NMfLcKfkepUqRg5Xi5I3Dx87JOV4ont01CEDSsLmhZSE3tnRzQ2s3yxOtqEYMPdGDVziGFmnFj3ZQvPqdpJ7/m7HjtdoIyV3/QH79h0LjqlYKvzqMkj+Knlr2glYY66pKQrVJGI1MQ9/3OOzV2Jrp5aa2njlVbUskEsmFJhABO7P9DNfKdEQS8xujnmuIRbrdSPqYiBAczfsM1hx+kDsc2tRjxXm5XmPJya+F4mW7m8M9bwnFPBHgC/iXnQENQ9gGC1M2r1/XNeN7LDseSVunOSLnjRKJRHKpci7EIhF4ZJ/8ZMPVYgJNGz9CRrHYlhshbZiT+tT6TgEjtQxFm7qNxh899wPqQXh+eO+ql+B5Kul4Yz7w030FirVwUuKr16XotFMc4syC0USbOZA2c5KLBznbvUzJ1ivsyg3OuW+REIIjmQqqovCvx5+grxb24HxF5zVcn14Uih0dqfOf28JWdIuaTX5l/eTFOl8ElNw6a5sWYmuTM8ZKdQ9bV7mqTVrRSSQSyZWEopkomtmwUUt0IwIP4ZUJnDJBPUvgFCHwEAqoqo2i2TDHRXtFUUibFmnT4urE1L1yip47bQ+l/nqVvOdOedyVSMGt8Uj/QR7pb1gRpQybG1q6ubG5i7WKy1KjiqpHqPa8Crv/Mazh58aOjZz8L2qdt1HvuCU0pmY345V7UYwoemzmxcILhaIopPUImXqFrZlerm9ZeFYe5BKJRHK+EEKwLz/E8XkkDp6iIRbtQtEjk8UiYKDi01f2eLx0jJIfvi/+97ZlXHP4U6hifIFNoLJn+e8SqOFkwpLvsuOISm85PO97/+1LMPWZF8mKNZ/1CxIy41oikUguURpi0bazEosASru/iju8IxSLrnwdtdYbeC43TFw3sE5zCRB+HVWz0KapLrp/31PsyQ+GYq9bvI5WtQ1Nb9x3HC/godNac1y9wOSOnq4p+6H6gaDi+FTcRmK+tJmTXKzI38TLkPn2LQIYLtcZKjvsqRzlseEDoW1LY628sWdDKOYFgvt/MYA/0YpOgXfe0YE+xYN71imzKNpC2pzcn8IPBMW6x8ZFaSxdLsJIJBLJlYyi6ihmCtVMQXwBQngIt0rglgnqOUQ9h3A9hABFs1A1C6bIDJsrCd0gETdYGZ96ka3iewxMEJBC/2o1Rtz6Wb+HS5W8W+On/Qf4aX/j+aFJ17ku1cINqRZuXPE/uCn3ITSvMrZ/8vm/YTi9BmFO+F4rKprZhJs/hKpHLngfppnoiMQZrpXZNnKS9VI0kkgkFyFHShkOFIZpjyTmlYAX1DLUM7tR9RjKFD3lSvWAQ1kPR63z49zx0Lbr4228Mvcj4pVw1dGxBb9OMb4qFBNCUKoJvrs3LAyt7Uzw0pWtM75PxwswNIX2+PnteyeRSCSS88O4WDR4VmKRm91H8fn7QzEt3o127bt5Jj+CpWpE9clro8IpoqdXokzhYrF15CQP7H8mFFsST/OG7pvozTu0xBoJEI8eKJKthF2ZXnNdCy1WAhEIhGgIRDXfHbOZa46YLGuJkrINEpa0mZNcnEjB6DLjbPoWOZ7PoZEKZUr8v6NPhLZFNIP3rLhzkkL+/e1ZjmXCVnSvXpdmSctkK7qCWyVlROmOTq48AhguOSxrjtEWn3ysRCKRSK5sFEVHMROoZgJinQjhI7wqwqvi13KIepbALaIIAaqBqtugnfv7SVTTWRqNszQ69T22HvgM1mujAtJoddIE67usW0dTVFRFQVUUNBh7raKgjb1m/PWpbYCKj6rq6HoEVdXHxmrsO/F142uNCa9PnXPi+U+95vR4+BhVURFBwLMnDnLIK3Gikp/y808k53k8MjLAIyMDADQn3skttX3c4p9go3eSZfUsyZ2fJ3/9/xc+UDNQRRQ3sw+jbS3qFNntLyRtdpzBWpHtmV7WNy+YMntQIpFIXgj6ynl2ZvtpteOhfrOzxa8O42T2oJrxRiXvabi+YH/WxdQU/m3oAJ4YzxrUUHhbXGfx3m+GjilFFnNk4X+fNFY18PjFAYWiG14ou/dFs7MkzVVdlrfEZlWJJJFIJJKLi3MlFgnfIfvEJxr9U0+hqERv/ihby1VAIaFPdjcSXhVFt9EiLZO2ldw6H9/yQwIm3OMUlY+sfTkDBZfkaH89LxB8b3u4umhlh8lLly5EVRQyVYdMLaAHMWYzl7B0ed+SXBJIwegyY759iwCO5apUfY/7D/0M5zSPzrcv3USHHR7zRLbOf2zNhGILm0x+7brmSWPXfY9ABKyIt6Orky+OpbpH1NRY0Tq58kgikUgkktNRFA3FiIMRR4u0IUSA8GqNPkijFUiBU0RRAEVv9GBQLTjPdqeWqtETidETmXw/E4HP0aPHWLx4EcpcRAYhCJw8CIGeXIwW60BRLrxIEQQ+650Iq1ZdxVC9wubhE2weOc7mkRP0VgozHp8J4EHzKh7kKgDagjIbcydYu/enrF10Mz12dGyRUNEjBL6Dl92P0bJmysy/FwpFUWi3E/RXiyiZPtY1T205IZFIJBeSkVqZLZle0lZsXtWPXnUIN7sX1Uw0+gaehhCCQzmPui8YDApsLob7Mrw0vYCXHPscCuN9HAJFY8/yDyDUyYt1vUWPRw6Hr+0vXdnK+gUzz2P9QCCABSlZXSSRSCSXGudKLAIo7vgHvPzBUCyy+jfYaSyk5ru0mFPfJwK3jNG8CkWZPMf4y+cfoa8antv89qpbiZOkTH2sr9ATB4sMl8Jrp3df307KiCCEoOr6XNtqcceyFjRNzhUklxYXz+xbctZk6hV25gZotefe/ydbdegt1nhwcDMnqmGF/M721WxsWRaK+YHg/l8M4k/o66Yo8K472jG08LkDISh6VVYnOonqUzWSExTrPrcuTkulXSKRSCTzQlFUFCMKRhQt0ooQAuHXwS3ju0WCWpagnkEgGtVKmtVYEJtHBvaFRHhVAreEFm1DTyy+aKptOiIJfrnnan6552oA+ioFNo+cYPNwQ0DqrxZnHGNIjfE9cxXfG67D8C9oNS2uTzZzQ6qZ61PNLLST+LURlPwR9KblF1VvQ0VR6LAT9FYLqFmFtekutCkSYiQSieRCUHBqbB45TtywsOdoSQ7gVQZws/vRzMS01bl9JZ+hsk9zROFvju0PbYtrBu+vPU2sGraoO7rgbkqx8DwSwA18frBbwQvGr+u6qvC+25fM6v3may5dSZu4JZczJBKJ5FLiXIpF9aGtlHZ/NRTTm1ZyaNGvk/Mc2q2p503CraAacTR7crL7j3v38/0Tu0Ox65oX8ms963m+r0A60ljTDAIxqZf7klaDV6xYAECx7tESM7DqF8/8RSKZC/IJ6zKh5rlsz/QS0805Z5S5fsDB4TJ7Ssd5ZGhvaFt3JM2bF2+cdMxDz+c4PBzu0/DL1zaxrG2yep9zynRFmmi1ElOef7hUZ0VrjJbY2feekEgkEokEGgv6im6DbqNGWiC5hMCvgVvFd0sEtRGCehbBqNikjgpIF0ulSODh13Oomo3VvAbFbr6oBJPT6Yom+ZXoGn6lZw0AJyt5nhs+wbNDR3l26AhDrjPDCDDs1Hl4uI+Hh/sAaDdtrk+lWR8ZYoMXsKh15UX1PVAUhU47wYlyDlVRuKapU4pGEonkglP1XJ4bOYGmaMSmSM6bCa/c3xCLrNS0vQDzdZ8jeY8mW+WJYj9Ha+GkgLvjUa4+9u1QrBhdzrEFr59yvF3DLlt6w0sRb1jfRU/T7JIi6l7A4vTFkUAhkUgkktkxUSzSoh1nNVbglsk98UmYYBuHajB07QcZ9Hzap6ksAgi8MlbLNZMcGwarJf5s+49DsZhu8vHrXsHJXA1T18b6DT19pER/wQ3t+xs3dRHVG0kX5brPVQuT9GcvnrmLRDIXpGB0GXCqb1HN92ibY98igBP5KifLeb56/PFQ3FR13rfyLszTbGB6cw7f3hK2outKGbz2+snqfMmrE9FNFkdbplzkKdRckrbO8hZpRSeRSCSS84uq2aDZqHYaEj0I32lY2DklRC1L4OYRgWiITacqkF4AKzThlAiCOnqiGz2+EGUKK5+LnYXRFAsXpfjVRdfgFI5zbHgv2+vwXH6E5/IZhp36jGMMOjV+ONTHDwGOHaXTjnFD6yJuau3mhpZuFkRT5/1zzISiKHREkhwr5VBQuCbdgXqRV61JJJLLB8f32DJyAsf3abHnPp/ySr14+YNoVhNoU99r6p5g34hHVFfwlYBvD4Wtf7qMCO8b/NJpVnQ6e5bfi5jiHuoHAf/5fHhemLB07tm4aFbvuVT3SEdM0pFL794okUgkVyqni0VnmwRW2PI3+OXeUKy66rc4YrbTadrTji+cEpqZQrGaQvFACP5k648ouLVQ/MPX3klEiXCwUqB1NMk9EJOri3qaDX555UIAap5PxNBojRr0n82HlEheQKRgdBlwtJSlt5KfV9+iQs3laLbEV08+StUPq+NvXXIbCyJNoVgQCO7/xQCuP67iK8A772ifZCfnBj6O77KuqWfKqifPD6g4PrctaR7zAJVIJBKJ5EKhaCaKZqJaTZDoRgQewisTOGWCepbAKULgIRRQVbvRAHweVj+zxnfw63k0qwmreRWqOXVl7qWGEe+ipzpAT1zjVzq6EULQW+hn3+a/42mllaf0hQyqMye89NfKPHhiNw+O2kR0RZLc2NrNjS2Nf53RuT8HnQtURaEjkuBoKYOmKKxuapeikUQiOe/4QcCObB95p0Z7ZG73CyEEfukkbv4wmpWe9t4WBIKDWZdACGxD4ztDh8h5YcH/XuUwqdrJUOxI95soRxdPOeYTJzwOZ8Nzw3s29pCyZycAleoeN3Q3XVQVpxKJRCKZnnMtFtV6H6dy8D9CMb/5WvZ2voJ2KzL9+EIQeFWs9AqU057Vv354K08NHwvFXrZgJa9YcBXbeovELX1s3K3HKxzPht0TfvOmBRij99J81WNVWxxdrnNKLmGkYHSJk6lX2D3PvkV+EHBopMwPhrZxpDIc2nZb6wo2ta2cdMwPd+U4OBSeJLzymiZWtoctAYQQ5NwKK+MdJIypS0GHSi6r2uOko9KKTiKRSCQvPIqqo5gpVDMF8QUI4SHcKoFbJnByiFoe4boIAYpmoWrWtPY9c0IEBE6jsaqRXokWbZtkkXApo6g6RnIp9cwuNK2R8bcw1cWyq1/Bm7b8GQI4rDbxlN7NY7H1PK11kZmFhV1ftcD3ju/ie8d3AY2qphtGxaMbW7vpmOMC6tmgjlYaHSqOoCoKq1LtcjFTIpGcN4QQ7MoN0FcpzDlpUAiBVzqJVziMZqfPWEl7ouiTrQW0RDUybo0fZo6Gtq+3TF43+PVQrBC7iuNdr51yPC8QfHdnOLYgafOGdQtm9d7rXoCpa7RJK3OJRCK5JDjXYlFQz5N76lPhc2g2e1e9h1YrhnaG8QO3hGanUcywS8HB4gif2/1oKNZux/n/1r6UwZJL1fPHWmgIIfju1smOS7+6uhto9HtHQFdy6n6AEsmlghSMLmFqnsu2zEliujXnvkUAfYU6Tw4f4SdDu0LxTjvFW5fcNmn//rzDNzeHL4wdSYPX3TjZii7nVmi3EnTYU09gclWXdNRgaXN0zu9bIpFIJJILgaLoKGaiUekT60QIH+FVEV4Vv5ZD1LMEbhFFCFANVN0G1YQ5TISEVyVwSmixTvRET2OMyxDFbkaz0gROEdVqPBvUu+6g2v8okb5fsCzIsczJ8SbnebLrPsTe5k1syWd4Lp9hSyFDbhYC0slKnpOVPP95vLEa2R1NcWNrz5iANB/b3rmgKgrtkQQHCsMoKFyVapOikUQiOS/sLwxxtJShI5Kc03WmIRYdxyscbVQWnUEsylR9jhU80nYjQ/rbQwdxxLjtnAJ8vPAdJp7dV0x2L78XMU3Sw8MHfUYq4Yzr929aMsmpYjpyVVdmbUskEsklwrkWi4QQ5J75c4LaSCh+fMXbiKcWo5+pl6gIIKijJ1eF3ofje3zsuYdwAj+0+8euewW2arA7mydpj98rd/ZWOXRaP/e3begeO3e+5rIgZRM1dXw/PKZEcikhBaNLlEbfon7qvk+bPfeGn2XHY9vAEF87+UQobiga71txJ/ZpHtaBEPzjo4OTreg2tWOd9oBf9Rx0RWNprA11ihuC6wfUvYCbupvkw75EIpFILhkURUMx4mDE0SJtCBEgvBrCqxDU82M2dooCKDqKbqOo1tQCUuDhOzlUzcZqvRbFurztdRRFQU8toT60DQJvbJGycM17MUd2oDm5sX1Tu77Ashddx5KuRby2axFCCA5XS2zJZ9iSG2FLfoT8LCZgJyp5ThzL851jzwPQE2vippZubmjt5saWHlrn0e9jJjRFpT2SYH9hCEWBlUkpGkkkknPLsVKGffkh2uzElHOt6RBC4BWP4hWPzygWVd2A/RmPhKmiqQqHqwWeKIQ7Mfw3Nce62v5Q7HDPb1CNdE85ZsURPLhbwASJ6drOBC9b2Tqr9+8FAkWRWdsSiURyKXCuxSKA6tGHqR3/cShWaLmBYPEvY59JLAICp4Bqt6Ka4aT2v9/7BPsLYcelNy27npvbFnFopEwAoRYa39kWTqJvTxj8tzULx76ue4JF6bmv0UokFxtSMLpEOVLM0jsPCwJoiD8Hhkt85cQvKPthZfxNizeyKNYy6Zj/2p1n70C4+dvL1qRY1Rm+EHpBQMWvc22qG2saL+zhssOajgQp2ahUIpFI5oXnB2SqPsNll5glsHUVbYaHZMm5R1FUFCMKRhQt0ooQAuHXwS3ju0WCWpagnkEgUBQdoeij9nNFEB56chF6bAHKGRbtLidUI44e68Iv96PajepkYaYoXPt+0s/96fh+XpnUjr8me9MnQFFQFIVl0QTLogle17WYwHc5kO/j+SDOc/kRnhs5OalB7VQcL+c4Xs7x7VEBaXEsPdYD6YbWblqscyMgaYpKm51gX34IFZXlyRYpGkkkknPCYLXI9kwfLVbszJnUpyFEgFc4ilc6gWY1wxncKTxfcCDroSpg6QpCCL42uC+0T1RR+F+5b4RiucQaTnT+6rTj/ucen4obvhZ+4EVLZ319zFVdupONrG2JRCKRXLycD7HIrwySf/YzoZhnJMhe+7vY+gz3hcBHCA89EU5oeHb4OF89uDkUW55o4b2rb6dU9+gr1GiasG65p7/K3v7wnONtG3rQ1cbnK9U9UrZGWq51Si4D5NPWJUimXmF3fn59iwAGi3X+7eizHKoMheIbmpdwV/vqyfsXXL7+bLjksy2uc/eNk4WlnFNmUayFJnNqq7lsxaE1arE4La3oJBKJZL44vqCv4rNnqIQ2uqAeNzUStk7C0rF1DdtQ57SYJDl7FEVB0W3QbdRICySXEPg1cKv4bgmvMgx+EUXvxkwvRzXOr0XaxYgWX4hfGQS/DlojS7zeeRvVBXcS6f3p2H7W0LNETvyIas8rJ42hagYrk+2s8GvcvfQu0KMcKAzz3MgJnh0+zpbMSYpufdJxp3O0nOVoOcu/H90BwNJ4Mze2do/1QUpb839W0VWVNjvOnvwgqqKwLDn5mUkikUjmQq5eZfPwSZrMKOY0iXlTIUSAlz+MV+pFs88sFiEEx4s+JUeQjjSeITYXBzlQzYd2+21nMy2iOva1r1rsWfa7oEz93DFcFvz4YLi66K4VLaxfkJpy/8lvS+D5gh45h5RIJJKLmvMhFgkhyD31pwi3GIoPXf0erFj7jMcHbhEt0hmaexXdGp/Y8iPEhP0MVeOTN7wKU9U4mC1iaAqqOv7+v3tadVFLTOc113SNfV2q+6xfkJCJYpLLAikYXWLUPJetIyeJz7NvUc31eOjofn4y/Hwo3mYlePvSTZMubIEQ/ONjgzieCMXvuaMdywhPCPJulbQZpTuanvLcjhfg+IJrOhNoqryASiSS+fPss89y3333ceDAAVRV5ZZbbuHDH/4wnZ2dszp+9+7d/O3f/i3PPvssvu/T2trK6173Ot72trehT5Gh1N/fz2c+8xmefPJJgiBgxYoV3Hvvvdx0003n+qPNGgVoiRiomkoQCOp+wECxTm++ikBBASKmRsrSSdjjIpKpzf3eIZk/qmaDZqPaabTYAvwRHaPlatQ5LPZdTqiahZ5cjJc7iBoZtxUqXPPbmCPb0OrjE7HE7n+g3no9QWTyRFDRbUTg4mb3Y7Zew1WpNq5KtfHfl12PLwIOFIbZPHyCzSMn2DJygpI3cw+kw6UMh0sZvnlkOwDLEi2N/kct3VzX3DXD0ZPRVY02O8auXD+qAksSUjSSSCTzo+TWeXbkOBFdJ6LPPnNZCB8vdxiv0ocWaZlW0DnFYMXnZNGjZVQscgOfbw4dCO3ThcM9lbCt+cFFb6NmT3+d/NbzAX4wPv/TVIX3b1o6689RrHs0Rw1S9pV575RIJJJLgfMhFgFUDnyLev/ToVi+88Uo3S+Z+eDAQwgfPb4gFP7zHT9loBYWoN67+nZWJtvIVByGqw6tUXNs26GhGs+frIb2f+tNPWN2da4fYGgK7fHLsx+t5MpDPnFdQpzqW+T4Pm2RuXtiCiHYNpjhn088FlLRNUXhPSvuJKZP9oN+ZG+B3X3hi+Jdq5Os6Qpnd9V9F4RgeaIdbYqJiBCC4bLDuq4kCfmgL5FIzoInn3ySe+65h3vuuYd/+qd/olKp8KEPfYi7776bb33rW7S1tZ3x+Keffpp77rmH22+/nYceeohUKsUjjzzC7/3e77Fnzx7+4i/+IrT/0NAQb3zjG1mxYgUPPfQQ0WiUz33uc7z1rW/lH//xH7nlllvO58edFaqqEFE1Isa4GCSEwPEDRioO/cXxagtb10jaOklbJ2Jo2LqKoakyE+oCUPVccr7PUL2MruqoitL4R+N/TWn8HLQJ8cvx56JF2/HLAwi3jGI0bOCEkaCw9ndJP/vHY/upXpXU9r8ie/OnpuwDpZoJ/NoIbv4QRtNKlNHnD01RWZVqZ1WqnTcvvwFfBOzLD/HcyCkB6STlWQhIh4ojHCqO8I0j2wBYaTfxkc4m1qRnLx7pqkarHef57ACKorA43jzrYyWSi5nj9SKR/CDt0SRJw5pTxYtkbtQ8ly0jJ0FAwpz9QpQQPm7uEEG5f1ZiUckJOJjzSFnjzwT/lT3O8GmWn/+r/F9YjPeRyybX0dv+qmnHPZQRPH0inHz4hnVd9DTNfj5bdgLWdCQvy3uiRCKRXA6cL7HIKx6jsOVvQjHXaqa29r2zOj5wC+ixLlRjfA3zByf28MOTe0P73dTaw5uWXY8fBBzJVIgbeugzfHdbNrR/U0TntWvH5wS5qsuS5iimLh0+JJcH8sn+EuJs+hYBDJaq/PXen1D0wg/9d/dsYHl88gLrcMnl354ON39riem8cUO4MWkgAopujauTXUQ0k6nIVFw6EtacJgYSiURyOp7n8Ud/9EcsWrSID3zgA6iqSjKZ5FOf+hR33nknn/3sZ/mzP/uzM47xsY99DEVR+PSnP0063aiIvOuuu3jLW97C/fffz2te8xo2bdo0tv9f/uVfMjQ0xL/927+RTDauv/feey8PP/wwH//4x3nwwQfRLsKqHUVRsHQNSw+LSK4fkK25DJbqQMMextRVEpZOyjaIGCq2rmLpmlyYOUu8wKfkOdR9DxDYik6XGePqVAc+Al8EOIGPG/h4QYAb+Di+jyd8AiEIRGOBTYz+nBTgVERBGUv+aAhNoKGOi1CKgqqoqICqqGPWhRcDiqJhJBdTH34eTY+OiUH19pupdL+c6ImHx/a1RrYSOfYg1cWvnnIszWrGLw+i6DGMxNSN1jVF5eqmDq5u6uAty2/ECwL2FYbYPHyc50ZOsDXTOysBaX8tx3ue+Hf+z02/wi3ti2f9eQ1Vo8WKsiPTh4ZKd7xp1sdKJBcrRd9hX2GIw+UsmqLSasXojCRIWTZx3bporjeXOm7gszVzkrLr0BaZvY2pEB5u7iBBZQg10jql6B46jy/Yn/EwVQVDa+xb8By+P3IktN+N/gCv8sYrjjw1ckYrOiEEX9/hh2JxU+OejYtm/Vlqrk/UUGmNTT3PlEgkEskLy/kSi0TgkX3ik40esRMorvsQwkjMPEDggQAtNl5d1F8p8Oc7fhLaLWFYfPy6V6AqCn3FOmXXozU2nlB/PFPnuWPl0DG/cWM39ug8OxACPxAsTMr1TsnlgxSMLhFGauWz6lvk+D5f2PMM+8v9ofh1TT28svPaSfsLIfjSo4PUTrOie8emdiKnWdFlnQoLo2la7akv2DWvsfC1piMR8v+USCSSufLUU09x7Ngxfvu3fxt1Qn+ejo4OrrvuOr7//e/z0Y9+lFhs6ub1R44c4fDhw6xdu5bm5nCm/6ZNm7j//vv51re+NSYYlUolvv/977Nu3Tq6usYziBRF4eUvfzmf//zneeqpp7jtttvOw6c99yiKgqlrmDow+gwshMANAop1j0zZGRMhDO2UiKQTMbUxEUmVi4DTIoSg4rtUXIcAgaYotNtxOqIJkoaNrWhsGyiyOJ6eUWT0g4AAgR8E+OLUazHhdYAvGl+7o6KTGwR4gY8T+HgiwA083OCU+ASCACAkNjVEqPG+EuGqp3GhSUOB0fOdCxSrCS3aRlDPoVpNY/Hi1f8Da3gLWm08YSWx5x9x2m7Aj05R2aMoaHYaL38YTY80ekfNgK6qrGnqYE1TB7+54ia8IGBvfpBnR47z3HBDQKr67pTHVn2XDz79Hf74+lfwyoWT+z5Oh6npNFsxtmZ7URRYGGua8RiJ5GInZdgkrSi+CCi6dQZrRQQQ0026oklarBgp056XjbakkZS3M9vPSK1CZ3T2CYMi8HBzB/Crw2h2y4xikRCCIzmPuh/QZI//rL4zfIhaEBZ7Plr9KRNHO7D4HurW9JXdW3oF+8P5h7xj46JQE/GZyFVdrulISktziUQiuQg5X2IRQGn3P+OOhNtplBf9Ck7bDbM63nfy6IkeVL1RneuLgD/e+sNJVtV/uPYuOiIJHM/nWLZCyg7fo/7ztOqihKXx+nXj85JCzaM9bkk3JcllhfxtvgSoeS7bMr3z7lsE8PDRw3y/f2soljaivHPZi6a8oP98f5Hne8NWdC++KsnahWErupJbI65bLIpObbEihCBTdrl+YZK4JX/dJBLJ2fH00w3v4lWrVk3atnr1ajZv3sy2bdumFXBGRkYAxiqLJtLS0lho3rJly1hs27ZtOI4z7fmAS0owmgpFUTA1DVNjTESChg9z2fHIVh1GC13QVJWkpZG0DaKjIpJtXNkikuN7lD0HJ/ABQdKwWZlqJW1FSRoW+oT7tu/70w90GpqqosE5WWgNRENcCkYFH18Eo6/FhNcBfiAawpPwcX0fL/BxxwSpAMd3KfgO/ZUiuqYR1U2iujmvn7+iKOiJHuq14Ub2n9p4RhBGjPzaD9D8zEfH9lX9Gqntf0Vm459NncWu6qhWAie3H1O3Qg1tZ4OuqlyT7uSadCdvXbEBL/DZnR9k8/BxNo+cYFuml5rvje3vi4A/eu4H5OpV3rjs+lmfx9J0ms0oW0ZOoqLQFZtds3eJ5GJHU1SSpk2SxoJMzXM5UsxyoDCMpqi02TE6I0lSpk1MN2X10SwQQrA3P8SJcm5O7hIi8HCz+/BrmVmJRQADZZ+Bik9rZPz6eqJW4ue5k6H9XuvsZq0/OPb1SNON9Le9bNpxvUDwzefDSQYLkhZ3r18wzRFTjOEHaKpCZ3KydbpEIpFIXlgaYtH28yIWuZm9FHfcH4p50QWUVr9jdgP4LoqioUU7xkL/cvA5nhsJ39t+aeFqXr6wMdc/WajhBWKsLxFAX97hqcOl0DFvun4hMXN8fbPq+Kzrmp8TlERysSJX8C9yAhGw8yz6FgEczef5q70/Gc0gbqDQ6FuUMCb7YGfKHv/yVDgVLB3VeNPN4axdJ/BwAp+rUwtCC2KhsSouC5IWC1OyNFMikZw9hw8fBqC9vX3StlOxI0eOTCvgnBKKTglHE8lmG5lD/f39BEGAqqocOXJkxvMdPXp0jp/i0sDQGr2NJtZqeX5A1Q3I1SpjIpKqKMQsjZRtEDc17NG+SJp6efo3B0JQ8RwqvksQBJiaTmckTpsdJ2naRPWLzzJHVVTORWK27/sk+4ssb19M0XforxQYrpUIEBiqRky3sOfQx0Q1YuiJRXiFY2iRcbtbp+0GKj2/RPT4Q2MxM7OD6NH/pLLk16YcS9Fs8D3c7H7MlmtQprHInQ26qrE23cXadBdvW3kzdd/jT7b+iB/17gvt95c7f8ZIvcJ7Vt826wmypemkrRhbMidRFGVOVQMSyaWCrRvYeiM71wsC8k6dgWovIIjqJgsmVB9NN4e40jlczHCgMERHZPZ9e0Tg4mb24jv5WYtF+brPoZxHk6WO7S+E4OuD+0M9byPC5fdqj4997Wox9i593xnP8bNDgoHwGhvvu30J1hz6O+SqLoubotiG/D2RSCSSi4lxsWjgnItFwq+TffKTIMaT7QQq+fW/j9Bn18vPd/LoySWoWiPhYF9+iM/veTy0T2ckwYfX3glA2fHozddInVYB+73t2dD9MGpovPG68cSHqusTszSaoxffHFAiORukYHSRc7iYoe8s+ha5vs8ntj5M3quE4q/tvp5Vyc5J+wsh+KfHBqm64Wywd9zeTtQM98EoOFVWJjqI61NnfNVcHwRc3ZGQmYQSieScUCo1Vh5se/KD4qlYsVic9vilS5eycOFC9u3bx9DQEG1t4zYqTzzxBNC4vlWrVWKx2NhYkSkE+1OxM51vJnzfn1PVycTjoJFUwNwPnzcqYOsKtj7++OALgeP5nMy5eIKGT7TaeJhOWQZxe7QSSdfQtUvzXlAbrSJyAx8FhWYzwlWJFprMCAndColjZ/p5nto2n5/5xYDv++iKSlK3SFtRFkWbqPkuBafOSL1Mf7VItlZCoBDRdGK6MeNisGq3I4q9+G5lbEIHUFj1NszhzejV8Wz2xJ5/otZyA35smux0PYJfy1LP7MdoXnXOnj0MReGP1r4MUa7xcP5YaNuXDzxDpl7mD669E32WIqmpKCR0k2eGjrGhtYc2e24VUVcaZ/t3c6n+vV0u6KpKyrRJYSOEoOZ7HCpm2J8fQVMV2u0YndEkKaMhuMs5A/SW8+zKDdBuJ9Cm6Q10OsJ3GpVFp8SiWVD3BPtHPKK6Ero/7yiPsKuSCe37rvpmOsV4/4YDS/4Hjjn9eSqu4Lu7w/PJazoSvPyq6e3rTkcIgRcIFjbNbnFQIpFIJBeG8ykWARS2/wNe/mAoVl7+Btz0LO2g/TqKaqDHGtVFNd/jY1t+gDfBWlsB/vj6VxI3LIQQHMtW0FQlZH86VHR57EB4rn/3dQtITrCsK1Q91nQkpG2q5LJDCkYXMSO1MrtzA7TNs28RwBd2P83zhROh2JrkAn51wfop93/sQJFtJ8Li0u0rEqzvCfcDyTkV2u0kHfbUQpYQgkzF5cbuFFFT/ppJJJKLA0VR+OhHP8r73/9+/uAP/oBPfepTtLa28rOf/YxvfOMbRCIRqtXqlALR+WDfvn0z7zQFOafhu3z8+PFz+XbOGUIIBgOB64M/mpKlKGCpCjFTJa4rmLrSaK59ET5c+yKgFvjUhYcQYKs6LbpFyrCJqwamWiNHltw8x9+xY8e5fLsXnOnef5MQVAKPku/Q79XJeXV8EaAqCraqYylT2xcqjo9W3YswmkLxTNubWHPsvvH9AofIs/+HnYs/OG2DdYRA8Y4RnBwksCYnxpwNb2ldTUqz+GZmfyj+3eO7OJEZ5j0d6zDnUC1RDzy+fugw10RbaJom+UYyzqX+dyNp3IMjukFkrPrIJ+vU6Ks2FmMShk1XJEGLHZtk6XmlMFIrszXTS9qKzvrzB34dL7OXwCvNWiwKAsHhnIsnBPEJ1TueCPj6YPga1xGUeGf9ubGvh9IbGWh58RnHf3BPQCncIoJ7X7R0TnPa/GhPiKQ9+35HEolEIjm/nG+xqD64lfKefwnF3OQySivfPOsxAqeI3rQcRW3cP/5u96McKoYdRn5zxU3c0NINQK7mMlR2aI2Fq4S+vyNLMKG8yNJV3nz9eOKaFwhUFWmbKrkskSv5FylVz2Vr5iQJY/5WDc8MnuSrR54JxZK6zbuXvxh1ioWWXMXjn0+zoktFNN6ysTUUq3gOlqazNN467c1huOzQ3RShKykzwiQSybkjHm9k4tdqtUnbTsUSicQZx7jrrrt44IEH+MIXvsDrX/96VFVl7dq1fPGLX+Ttb387kUgEdbRS4NRY1Wp10jinYjOd70xcddVVRKPRmXc8jYFiCU6epKenZ8rr+cVIgMD1BHU/wPUDPEWhCti6StLWSVgaEUPD1jVMTbmgWeanst5LXh0/EGiqSosVpcNO0GRFiJ+jrHff99mxYwdr165F0y69hdC5vn8v8Cm4dXL1Kn21AgWnhhBgahox3cQata8TQuCOxBC+g2pMTFBZRJmDxI59byySqB5ijdhCeclrpz2vEN0EtSx6uhk92jrtfnPB9wMOHDjAB29+BStP9vB/dvyUYIJBxXPlQf4ut4s/v+lXSBiznzRWPIeiW2dt6yJa7NjMB1yBnO3fTaVSmbc4Lzm/6KpGkxkBIo3qXt/lYGGEfflhdFWhPRIf6310Mdp9nmsKTo1nh48TN2Zv7xn4NdzMHoRXQ7Wm7ik7FSeLPiO1gBY7/Azxs+xJ+p1w8uDv1x4nSqOPm6sn2Lf0vWe0ohsuCx4+IEKxlyxv4fqFc+vbVnVlTwiJRCK5mBgXi/rRop3nfL4WuGVyT34SJjxjC1Unv/73QZ1d8oDwayiajRZpVLQ+OXiUfzu8NbTPVck23r3q1sY5heBIpkLc1EOfJ1vx+Pm+Qui4X1/bSXqC9Vyu6tKdsqVtquSyZF6C0bPPPst9993HgQMHUFWVW265hQ9/+MN0ds4uk3P37t387d/+Lc8++yy+79Pa2srrXvc63va2t6Hrk99Sf38/n/nMZ3jyyScJgoAVK1Zw7733ctNNN83n7V/0BCJgZ7YPLwhosue+kAiQd2p8fMtD+KeVXL57xUtoMiePKYTgy48PUXHC1gFvu62NuDUh6ywIqPoOa5u6MdWpf32qro+mKKxun39llEQikUzF0qVLARgcHJy07VRsyZIlM46zYcMGNmzYEIo5jkMul+PWW28di50a60znW7x48aze+1RomjavBdBTx6iKiqpdGoKRCugaTKzdEkLg+gH5us9w2UUgUFAwdZWEpZO0DKKmiq2rWLp2bhupBj5l16EeuIBC3LBYkWqjxYqRNG2M85jZPt+f+8XCbN+/pmm0GSZt0QQraafquRTcGsO1MgPVIvl6GQWIaCZ2cjH+yE4UJR6qHiqtfgfW8Gb0St9YLLH/K9Q7bsaPL5ryvAoait1EUDgIVgzVOHeWb5qm8tol60hbUT763EM4wbjd2ZZML+958t/5642vpXWW4k/cjKCoGs9le9nYtoi0Nb/nviuBs71eSi5uFEUhqptjwpAX+GRqVfoqBUAhYVgsiCZptqIkDfuy65NX8Rw2jxzHUHVisxTHAm9ULPJrqFbTrM+VrfocK4b7FgGUfZfvDh8K7bvWG+DX3D1jX+9b8h7c06pBT+fbOwO8CVNKTVV4/6Yls35/ABXHJ27qtMieEBKJRHJRcL7FIoDClr/GL/eGYsWr3oqXWDLrMQKnhJFeiaLq5Jwqn9z6o9B2S9X45A2vGpvrDRbrFOsebfFwwteDO7Khe5mhKfzGjd1jX5+ax3Y3yWd3yeXJnJ+0n3zySd761rdy/fXX84tf/IKHHnqIfD7P3XffzdDQ0IzHP/3009x99914nsdDDz3EU089xYc//GH+9m//lj/8wz+ctP/Q0BBvfOMbyeVyPPTQQ/ziF7/gxhtv5K1vfStPPvnkXN/+JcHhYob+WpEWa36ZpkIIPrb5Rww74S6jv7JgPdemFk55zJOHSjx3rByK3bIszo2LxxdZhBDknDJLYi2kjKntmgIhyFYc1i1IEZEqu0QiOcfcfPPNAOzdu3fStr1792JZFuvXT225ORO7d+8mCAJe+tKXjsXWr1+PaZrTng9g48aN8zqfpLFAaOoaCUunOWbSErNIRw0sXaVY9ziSKbOzv8jmE3meOZ5j90CR3nyVbNWh6noEQsx8klECISi5dQarRQaqRYpOjWY7wvUt3by4cxl3dCzlqlQ7LXbsvIpFVzIR3aAjkuCadCcv6VrOHR3LWJvuImFY5DEY0VIMlIaoeB5i9GcrdJv8ug8hGJ+UKoFLattnIZi+N42iWSiqiZvZS+DXz/lneUnXCv5642snLeweKAzzzse+xrFSdtZjxXSTiGbw9NAxcvXJ1YwSyZWIrmo0WRE6Ikna7TgC2J8f5vHBI/ykdz/bRnrprxSoeM6MY13sOL7H1pGTeEFAypydO0PgVXEzuxB+fU5iUdUN2JfxiBvqpH4L3xs+TDnwQrH/VfvF2ILBYPMmhlpuP+P4hzOCJ4+H782vX9fF4vTcFtQKNY/lLVHUi9C2ViKRSK40LoRYVDv5KJWD3wnFnPQ1VJa+ZtZjCK+KqkfQIq0IIfjf23/McD28zvk7a+5gWaJh3+r4PkezFVKRcDJ8oerz073h6qL/tqaD9gmiUqnu0xwxSdnSuEtyeTInwcjzPP7oj/6IRYsW8YEPfABd10kmk3zqU59ieHiYz372szOO8bGPfQxFUfj0pz9NOp1GVVXuuusu3vKWt/Cf//mfPProo6H9//Iv/5KhoSH+9E//lGQyia7r3HvvvSxZsoSPf/zjl10j2+FTfYus+Vfn/NuhbTxxWnbYyngHr+2+Ycr981WPrzwZFvuStsZv3hJuSlpwqzRbMRZE0tO//7LDkuYo7XGZDSaRSM49GzduZNGiRfzoRz8iCMZTfgYGBtiyZQuvfvWricXGxfbBwUE8L7z48eUvf5nPfe5zk8b++te/TkdHB6997bjVVTwe59WvfjXbt2+nv79/LC6E4OGHH2bx4sVjIpbk3KAoCoamErd00jGT5tF/tqFSdjyOZCvs6i/y3Ik8Tx/N8nxfnmPZCpmKQ8UJi0h13yNTrzBQLTBcK6ErKqtS7dzavpi7Fqzk+pZuuqJJYoYlK2IvMKqikjRteuJpbmrr4aULVnLbkg0styIQuAw5NQZqVbJOnVLT6kmTRTO/j9ihb57xHIoZRwQOXu4gQpz758UbWrv5wm1voOW0qqDeSoF3PfZ19uQmVyZOR9ywsDSdZ4aPkXekaCSRTERRFGK6SduoRV3CtBmuldk8coJH+g7wWP9hDhVGyNYr+EEw84AXEV7gsz3TS96t0zzLZMHAreCO7ET4Lqo1e5s3PxAcyHqogKWH73kDToWfZMN9b1/l7meD38j0dowm9i159xnHF0Lw9R3ha23c1HjnxqmrQafD9QMMTaEjIa3NJRKJ5IXmQohFfj1H9ulPh2KBFiG//vdAmX0iX+CW0JOLURSN75/YzU/6DoS239q2mDcsGU8u7S3U8AKBeVo1+g935nC88TmlpsBv3tQT2qfseCxrico5pOSyZU6C0VNPPcWxY8d4xSteMdbfAaCjo4PrrruO73//+5TL5WmPP3LkCIcPH+aqq66iuTnssbxp0yYAvvWtb43FSqUS3//+91m3bh1dXV1jcUVRePnLX86RI0d46qmn5vIRLmqqnsu2s+xbtDc/yN/s/kUoFtMt3rPiJWjT9Ln4f08MUaqHJ1e/dWsbCXv8PdR8F0WB5fH2KRtWQ+OCaaoqV7VJKzqJRHJ+0HWdT37ykxw7doz77rsP3/cpFot85CMfobW1lQ9+8INj+z744IPccccdvP/97w+NMTw8zJe+9CU2b94MNHof3X///Tz44IN89rOfndRT6EMf+hCtra185CMfoVAo4Ps+9913H4cPH+YTn/jElFaqknOPoanELJ10dFxEilsaji84Waixe6DI5hNZfnpogJ8d6eXZvgFOFkoktAjr0wt5SdcKbu9cyrJkC2kretnZGV3qGKpGW7yV1d3XcWtU48UtHdzQ1EyHFaHqeRxc9AZq0QWhY+L7v4peOHzGcVWziaCWwSsePy/v+6pUG1+8/Y30xJpC8axT5bcf/wZPDx2b9VgJw0ZXNJ4ZOkbBmdynTSKRNDBGq486I0na7QQ+gr35wUb1Ud8Btmca1UdVz32h3+oZCUTA7twg/bUSbbMWi8q4I7sQQsxJLEIIjhd8io4gYU++/31jcD/+hJ4RhvD5g+pjY1/vXfpePOPM/YS29gn2hdvh8o6bF9EUmV3fiVNkKy5L0lFMXd6nJRKJ5IXkQohFQgiyT/9vRC0TihfX/A/86OzangAIt4xqJFDtZk6W8/zFjp+GtqcMmz+67hVjn6HiePTmaqROu0eV6z4P786FYq9a3c7C1HgSQ90LMHWN1phMlJdcvszpKezpp58GYNWqVZO2rV69mnq9zrZt26Y9fmRkBIB0enKFSktLoyRwy5YtY7Ft27bhOM605wMuG8HID8b7FsXn0Cx5IhXP4Q+f+T7eaVm071r2Ilqsqf37nz5c4pkjYZFvw5IYNy8d3z8QAUW3xop4B7Y29QO/HwjyNY91C5JYurTykUgk549bb72VBx54gOeee45Nmzbxyle+kmQyyde+9jXa29vH9kun08Tj8VDCAcAtt9zCDTfcwL333svGjRv5pV/6Jfbt28e3v/3tKXvjtbe387WvfY1UKsWrXvUqNm3axObNm3nggQdC/Y4kFx5NU1E1AZqL0B1U06c1atMdaaFNbSfitJLJmuw4UWfL8eKopV2NXNXF8S6tLPQrBT3Rg2JEsYI6HVaEa5NNvKS1k9vaejBv/J+ICY+uivBIbPtLhH+GRWFFQbWa8ArH8Sqzr/iZCwtjKe6//W5Wp9pD8Yrv8sGnv8N/9e6b9VhJ00ZVNJ4ZPkbRlaKRRDITp6qP2iOJRvWRYTFYLbF5uFF99PjAYQ4XR8jVqwTi4rruHygMc6Q0QoedmNUiXOCWcId3AqCaiTmda6jic6Lo0WRNPs+ecoatpbDS83ZnC4tEw46nv/VORtJntt/1AsE3doS/v10Ji7uvWzDNEVMTCIEAFqRkdZFEIpG8kFwIsQigfPgHOCceCcVq7TdT7X7F7AcRgsCrYCQX4Qv44y0/pHLa/OB/rX/ZWI9RIQTHclUUVZlkz/rw7jw1dzyBQgHetiFcXZSvuSxJR9AvkV7CEsl8mFNa9OHDjSzOiQtypzgVO3LkCLfddtuUx58Sik4JRxPJZhte7/39/QRBgKqqHDlyZMbzHT16dC4fYRK+78/Z1u7U/ufSDu9gYZiT5TxdkQTBGTz5z8Sfbf0xJ6v5UOwVHdewPtlN4E+eIBVrPg88EV48iVsqv3lza2j/kXqJhZE0TXoUf4pxAAZLdRY3RWiO6Be1TeD5+NldSC719z9frtTPfbFwNt//8/Uzu+mmm/jKV75yxn1uvfXWsSqiiWzatGmsqnW2dHV1zcp2VXL+8UVA1Xepj04CIppBl50iZUaI6/aU/Yf8QFDzfI7nqhz2K5xqhxO3NJojJumoQdTQiJqaTHp4gVE0A7P5amoDz6DoDZsHVVFIGgbJ7g0Urn4Lpd3jf/tW8RDKvn9hYOkbMDWdmKZjnl49pupoVhIvdwBVj8x5oXU2NFtR/u7W1/EHz36PZ4fHq5ncwOcjmx8k51R5/ZLZ9VdLmTY5p8qzw8fZ0Lpo3olEEsmViKFqpEdtIgMhqHgOu3ODgMBQdTojcdojCVKGja3PrfLlXHK0lGFffph2Ozmte8NEAqeIM7ILRdVQjKkTAaej5AQczHmkTHVST6BACL42uD8Uaw4qvKf2LAB1o4UDi9854zl+flgwEG6fy/tuX4I1xyqhfNWlM2ERt2T1tkQikbxQXCixyC0PkNv8F6FKhsBIUlj7uzCHcwq3jGY2oVhp/t/+Z9iW7Q1t/9Wea7iza8XY1/may1C5Tks0XCFUcwN+uDMXir10ZStLmscdSAIhQMCCpExskFzezOlJrFRqPAXa9uQ/jFOxYrE47fFLly5l4cKF7Nu3j6GhIdraxnvkPPHEE0BD6a1Wq8RisbGxIpHIpLFOxc50vtmwb9/ssz5PZ8eOHWd17lPkvDrPl4dJ6RbFaWzjZuIXhRP8cDDclH2BnuDmoI2jx6YW1b65M6BYCzclfdVyQXboBKdaNZcDB1PRaDY99imThT6AihsggNayxdb+S8OK7lz97F4oLvX3P1+u1M99sSC//5IXAiEE9cCj4jsNCx4U0laMRZE0CSNCRDNmnMRoqkLM1JnoGhAIQd0L6C/WOJYb7xkTNTSaowbpiEHM0okYGrauSqvVC4gabUeLtBPUc2h2uCo9sfZd1Hofw8uP92rsPPJNupa+lGGzh8F6jazwUVCIaDpRTUdTFNAslMDDze7FaF2Lqp17ESZuWPzVzb/Gx7f8kB/3jS/ACuDPd/yUTL3Cu666ZVa/S01mhGy9Mioa9RCTopFEMmdURSFuWGOiq+N79FdLHC/nUFBosiJ0RRKkrSgJw0Kd5zxsrvRXCuzI9NFixdBnYY8aOIVRschAMWZnXXcKz2/0LTJUBUOffO15LN/H8XpY6flA/UkSOADsXfZ+PP3MAlXFFXxnVzip8OqOOC9f1TbNEdNT8wSL09GZd5RIJBLJeeFCiUVB4NP3+B+je2HHo/y17yewmqc5agqEQPg1jPQKducHuX/fk6HNC6MpPnTti8fPKwRHs1Uiujbps/1kT57yae063nFzuA9fvurSkbCIycQGyWXOBf0NVxSFj370o7z//e/nD/7gD/jUpz5Fa2srP/vZz/jGN75BJBKhWq1OKRCdL6666qpJ/Spmwvd9duzYwdq1a9G0s8tErnoujw8eYb3WRkyfn//l4WKGrxz6cSgW0QzuXf0K2u2pvaafO1Zmx+BAKHZ9T5RX39QxdtF0Ao+y57CuqZuYPvVChRcIhkt1blmcpuUS8O88lz+7F4JL/f3Plyv1c18snM33v1KpnJUwL7ky8QKfqu/iBB4AMd2kJ9JMyowQ08x59/mbiKooRAyNiDE+lhgVkYbKDidyVQSgoGAbKk0Rg+aISdzWiI4eJ0Wk84OiKJjNq6j2Po4IPBR1/HFV0UyabvkYwz+6B05Z8AofbfP/4dpXfpkgkaLkeeRdh/56jYxTJxCiIRpqFqZbxMvux2i5GmUOTXRni6np/OmNv0T6+QjfPLI9tO2L+54iU6/w4bV3TttXciJpK0qmXuHZkRNsaO0hOs/nRIlE0sDUdJq1xvVkYvVRIASWptMVTdJmx0iZESzt/EyTs/UKW0ZOkjajmLM4R+DkcYZ3oWgWijFHIUUIjuQ9qm5AOjL5elfzPb49dDAUW+mPcLfTsL3rbXsFmaYbZjzNQ3sDSk449oE7ls2qcmoipbpHOmLQHH3hKr8kEonkSuZCiUUAx3b9K+bwllCsuuBO6l1zcwIJnCKq3UxNjfKx576DP8F+VkXhE9e/MrTWOlyqk6+5tMXDa5yOF/DQ87lQ7EXLmlnZFk7UqHmBTGyQXBHM6Uk4Hm9kF9Vqkz3VT8USiTPbfNx111088MADfOELX+D1r389qqqydu1avvjFL/L2t7+dSCSCOpppdWqsarU6aZxTsZnONxOaps17AfpsjoVG36I9hUFQFBLm/ESymu/x0S0/oD66qHaKty/dROdpDZhPUar7PPBk2Kc6Zqq8/fZ2tFErnkAISm6dq5IdJK3p39twpcbK9gTtyQsn8p0LzvZn90Jzqb//+XKlfu6Lhfl8/+XPSzIbAiGo+S4130EAhqKRNqM0W3HiujVt/7xzjaIo2IaGbWgw2gBVCIHjC3I1l4FiHdFQkTA1lXTEIB01SFj6mIh0ut2PZH6oVgojuRivcAwtGrYmNptXE1/zVko7vzQW8/IHKe78R5LrfpuUYZIyTBZF4ziBT8FzyTgO/fUqw9gExQGiGKTSy2e1YDtXNEXlw9feSdqMTspy/PejO8g5NT55/Stnde5mK0qmXmbz8Aluau0h8gJaaEkklxOnVx/VfY+TlTxHSpnRStYoC6JJmswIccM8J9VHJbfO5uHjRHVzVnZ4QT3XqCzSIyj63Oda/WWf/rJPS2Tq9/5g5igFP6z0/K/aL9AR1Mx2Di5++4znGKkIfrQ/7FixaVmaG7pTc36/xbrH9QtSMhlDIpFIXgAupFh0fHAP+s5/CMV8u4XCNe+Z20AiQAQOeqKb/7v7UY6Vs6HNb195M+uax3vpuX7AkWyVlD35Gfzn+wrkq2E7/dOri8qOR9LWSUfk87jk8mdOs+SlS5cCMDg4uWnwqdiSJUtmHGfDhg1s2LAhFHMch1wuF2ogfmqsM51v8eLFs3rvFyOHiiP0V4t0RqauApoN/3fnzzhYDFvF3dm+mo0ty6Y95qtPDU+6EL5lYytN0fFfh5xTocNOTVuhBFCoucQtnRWtc7NGkEgkEonECTyqvosX+CgKJDSbrngbCd0mqpuzqsC4ECiKgqUrjT4MExx5HS+gUHcZLNcJgsZimaGqpCI6zVGTpD3eF+n0ZqqS2aGnluGVTiK8GooetkNOXPN2aid/gZcbt34r7foK9sIXYbasGYuZqkarqdFq2qyMJaj4PnknRX/hJLmiTWClUVCI6SZR3ZxzRvx0KIrCu1bdQrMV5c93/ISJy6k/6dtP3qnymQ2/Oqv+RM1WjJFamc3Dx7mptecF7bsikVyuWJo+VlUUCEHZq7Mz20+AaPTKiyRojcRJGva8qo9qnsvmkRMoqLP6uw9qWeqZXah6bNL1bzYU6gGHch5N1tSWqiNulR9ljoViL3EPc4fXiO1Z9jv42swZ1P++M8Cb4N6jKY3qorlS9wIsXaM9Ie03JRKJ5EIjAu+CiUW9lSK1Zz5FLAgnLOTXfhAxxx59gVNAi7bxeHaEbx0NV/avaergnqtuDsX6CjVcPyBhh6v2PV/wvR25UGzjoiau6QwXKJRqPusWJGSCoOSKYE5PuzfffDN///d/z969e/nlX/7l0La9e/diWRbr18+uoe/p7N69myAIeOlLXzoWW79+PaZpsnfv3kn7n4pt3LhxXud7oRmqldhbGKLNjs/7Yvxw7z6+fTTcU6Q7kubNi6f/nmw9XuaxA+G+T+u7o9y+YvxCWPbq2JrO0njrtO/N8wMqjs9tS5oxtItjUU8ikUgkFy+BCKj6LnXfBcBUddqtBE1mlJhmnTf7n/OFqauYusrEtArPD6h5AYcyFfyg0RBVUxWSdkNEipsqJTfA8wNZfTcLVN3GSK/CGd6Ori8IbVM0g/QtH2Poh28LWdPlnvwkba96AGWKHkWKohDTdWJ6nC5rCU41g5taRlEx6asWGa6VCBDoikZ8lhUAM/G6JetoMiN8bMsPcIPxZJ3NIyd4z+Pf5K9ueQ0t1syJNy12jOFaiedGTnBja88l9/cikVxKqIpCwrBJGA2hpuZ7HK/kOVTKoCoKLVaUrkiSlBkhYVgzzuXcwGdr5iQ1z6XVnnkxzK8O42T2oJpxFG3uYpHjC/ZlXCK6gq5N/d6+NXQQb4JtjyYC/rD2KAAnOl5NLrVuxvMcyQqePBauLvqVa9vmZdWTq7qsaovLeaVEIpFcYETgUR/cdkHEohGnTv+Of6KzsD8ULy/+VZy2mS1QQwQ+QvgUjGb+9OlvhzbZms4nrn9VyMa84nocz01dXfTYwSKZcti16fTqItcP0FRlkpWdRHK5Mqcnso0bN7Jo0SJ+9KMfEQTjD5gDAwNs2bKFV7/61cRi45PewcFBPC/8R/flL3+Zz33uc5PG/vrXv05HRwevfe1rx2LxeJxXv/rVbN++nf7+/rG4EIKHH36YxYsXc/PNN08a62Kn4jlsy/SSNOx592E4Uc7x6W3/FYqZqs77Vt6FqU69iFBxfP7psXC1VsRoWNGduil4gU/Nd1iZ6MA4w3sbLrusbI2Tjko/fYlEIpFMRghB3XfJORUy9TJ5t0pEM1geb2d9ehE3Ni9hWbyNZjN22Sx+65pK3NJpjZl0JCw6khZNUQPHDziSrfDcyTxbBx1+fGCYp49mOTxSZqTsUPf8mQe/QtHjC1HNJgKnOGmbkV5J4tp7QjGvcITijvtnHFfRLAwzQTS3m0WRKLe2L+GuBSu5uW0Ri+NNuMKnv1pgoFok51Txgvn/jF66YCV/tfE1k3pV7i0M8a5Hv87Jcn5W47TacQpunS0jJ3B8b+YDJBLJOcHWdFqsGJ2RJC1WjIrnsiPbzy8GDvFI30H25AYYqpWm/Lv0g4Dns/1k6pVZiUVedRgnuwfVTMxLLBJCcCjr4gWCiDH1VP9gNc/ThXAv2zc7O1gRZKlYXRzq+a1ZnefrO8KNwW1D4T23zL26yB+t0u1KykU4iUQiuZBcSLEo7zrsPP4MHYe/Fop7sYUUV89sgXo6gVtEs9v537ueIONUQts+eM2LWRxPh2LHczU0VUE7LTHBDwTf2x62srt+YXKStWq+6rKoKYKly6Q/yZXBnAQjXdf55Cc/ybFjx7jvvvvwfZ9ischHPvIRWltb+eAHPzi274MPPsgdd9zB+9///tAYw8PDfOlLX2Lz5s1Ao/fR/fffz4MPPshnP/tZotFwRtKHPvQhWltb+chHPkKhUMD3fe677z4OHz7MJz7xCXT90lpk8oOgYW8QiEkLB7PFDXw+svkhyl64hPOtS25jQaRp2uP+9ekRspXwgsebN7bSHGt8D4UQ5NwKS2JtJI3pfbJzVZemiMGyFtnoTSKRSCTjeEFAya0xUi+Rccr4ImBBJMU1qQVsaF7KNamFdEZSxHXrnFl/XezoqjIuIsUtWiIqTRGTiuuzZ7DEk0cz/Hj/MI8eGmHPYJGBYp1y3UMIMfPgVwCKqmG2rEa4JYQIJm2Pr/ktjObVoVhpz7/gDO+YtO/pqGYcIXycoe2IwMPSdNrsOKubOnhx53Je3Lmc61oW0GxGyDk1hr0q9XkKNRtae/j8ra+n2Qw/O52o5HnnY19jX35oVuO02XGyTo2tmV4pGkkkLwCaopIwbDoiCTojSUxN52gpx9NDx/hJ3wGeGTrG8VKWolsnEIK9+UFOlvO02zP33fUqg7iZPWhGYsoqydlwsugzXA1osqae5gsh+NrAvlAsKWr8bv0pBAp7lt9LMAuhalufYO9Q+D71xhs6aInNfX6bq7p0p2yi5qU1r5dIJJJLmQspFpU8l+cy/fTs/GsUMb4mKVDJr/89mGuCROAhhMf3cgV+PnAotOmOjmW8ZtG1oVi+6jJYqpGcorroqcMlBgpuKPb2DeHqIiEEvoCFTXNP5JBILlXm/FR266238sADD3DfffexadMmFEXhlltu4Wtf+xrt7eNNidPpNPF4nK6urtDxt9xyC3v27OHee+/FdV2i0Sg33XQT3/72t6fsf9Te3s7XvvY1PvOZz/CqV70KIQQrVqzggQce4Kabbpr7J36BOVgcZqBaojMy86RhOj63+1F258NZYbe3rmBT28ppj9lxssLP9hVCsWsXRnjRyvH3kXcrtJjxM4pOrh9Q9wJu7G5Cl5YBEolEckUjhKAWuNR8l0AINEWh2YzTbMaI6RYRzZDNq6dAVxUsQyNhj/fLqLkBR7NVDg5XUADbUGmNmbTGLGKmRtzSr9heSKrdghZfiF8dRrObQ9sUVafplo8x9IO3QjA62RMB2Sc/SdurvoI6Q+8PzW7BK/fhZvZitKwZ+31VFIW4YRE3LBZEU9RdB3FymJxTw0OMWVXNhdVN7dy/6W5+58l/p7cy/kw2Uq/w7se/wV9u+G/c0No94zjtdpyBapFtmV6ua1l4xopwiURyfrE1HXu0StYXASXXYUetjyAIOFEaoKtk0RVLzXgv9Cr9uNkDaGYStPklFeZqPkfzHmlbhWnO93RxgEO18Jzw/bWnSYsaxztfQyFx9Yzn8QLBN06rLkrHNH7rhkXTHDE9QggcP6CnafpkRYlEIpGcWy5kz6Kq77Eln6H14FexyuHeeeUVd+M2rZ7myOkJ3AJ9ahN/teeRULzZjPKR9S8LfZ5ACI5kK9i6NulzBkLw3W2ZUOzqjji3LG4KxQp1j5bRHrUSyZXCvNJ4brrpJr7yla+ccZ9bb711rIpoIps2bWLTpk1zOl9XVxef/exn53TMxchQrcS+wvBZ9S36ef9B/vXQllCsy07xW0tum/aYqhvwpUfDVnS2rvCOCVZ0Vd9BVVSWxdvOmPU9XHa4uj1BU0ReKCUSieRKxA18qr6DG/goQEy3WRRtJmFEiGkWuiqTCeaKqihETY2oOb7wX/cChsoOJ3I1UGiIcVGDtphFMqITN3VM/cr4XiuKgtG0Ar/chwg8lNOsd43UMhJr30Vx29+NxfzicYrb/57UDR+YcXwt2oFbOIxiJjCSUy946qpGhxljcdsiduT7Ga6VaLFic36e64k18cXb38i9T32b/YXhsXjZc/jdp77Nn9zwS9zZtWLGcToiCQaqBbZnelnfvGDeFscSieTcoSkqSdMmiU0Q+AwqGh2ROJpy5mu1V+7Dyx1EM1OgzW+OVXMD9o14xEx12uQCJ/D51uCBUGyxn+M3nO2U7W4O97x5Vuf6xWFBfykce/OGdpLW3KuiiqOLcHJuKZFIJBeGCykWOYHPtnwWdWQ7zUe/G9rmJpdTWvGmuQ/qe3iB4JMHt1M7rdr+I9e9jGYrXM0/XKqTr7lT9h7afLRMby5cXXTPzYsmfU+qTsC1HdJhSXJlcWWsNFwEVDyHbSMnR/sWze/bPlAt8smtD4dihqLx3hV3Yp9hcvG1Z4YZOa2B23+/uZXWeOOYRjZcnasSHWccJ1txaImaLGmWF0qJRCK5UgiEoOI5ZOplRmolqr5DsxlndbKLG5uXcF26h+5oMykjIsWic4ilqzRFDDqSFh0Ji6aITtnx2T1YHLWxG+LRQyPsHSwxWKxTcS5vGzvVjKM3rcCvDk+5Pb76zRgt14Ri5b1foz64Zcr9J6IoKprdijP8PH4tc8Z901aUW9uW0GxF6asW8ILJNnkz0WrH+MJtb+CGloWhuBP4/M9nv89/HH1+VuO02wn6K0W2Z/rOqseSRCI5P5iqNrNYVDqJmz2AajbNWyzyA8GBXGOuZ+vTL/z9KHOMjFcPxf6w9igGNKzo1JkFn6or+M7u8HWvu1nnNWsWzP2NA2UnYFnL3MV3iUQikcydkFgU6Tiv114vCNhRyFGo5ejZ9TkUxucpQjXIr/99UOd+3/PdPF8ZKbIrH06K//XFa7mjI9xHz/UDjmSrU1rRiSmqi5a3RLljWdjNoOb6RAx1XparEsmljFzZuQCcanYaCObdt8gLAj66+SEKbi0Uf/PijSyKtUx73K7eCj/ZE7YduLorwktWJce+zjplFkVbSJuxacdxvADHF1zTmbhiLXEkEonkSsEJPHJOhZF6iZxbwVQ1lsZbuS7dw4bmpaxMtNNqxc+YZCA5t+iaSsLWaU9YdCRsWuMmAQ2LhWeP53jk4AiPHBxmR2+e3nyNQs0dayR+uWAkF6PqNoFXnbRNUXXSt3wMQn0/BLmn/pTArUzaf9LxmolqJnAGtsy4v60b3NDSzcpkG0O14qTsxtkQNyzu2/haXtK5PBQPEHx6+3/xpX1PzygAKopCRyRBb7XAjmw//jzEK4lE8sIghMAtnsDNHUSz0qDNv3/P8YJPvhaQtKef2ue9Og+NHA3FNnoneJl3iGMLfp1i/KpZnevBvQHFsObEmza0kjpD/9vpqLk+0VH7VYlEIpGcXy6kWBQIwa5inkGnxrKDX0GvhltqFK96K15i8dwH9l12liv8v2N7Q+FFsTT3rnnRpN37CjUc38fSJ1fibz9R4ehIuC/8O27umeS4lK95LGuOyXVQyRWH7Cx5AThYHGawWqIrmpx552n4h71PsC3bG4ptaF7Cne3T+33W3IB/PM2KztQV7rm9fewiWHCrpIwo3dH0Gc8/XHZY25mUnp0SiURyEVBxfUp1KNR8bBMMTTmrh1hfBFR9F8d3EQhs1aTTTtJkRonpFqYqHxcuNlRFIWbqTFxnq3k+A6U6x/NVhFAwVIWWmNnw3L4MbOwUzURPr8IZ2oKqT16c1JOLSa57N4Utfz0W80snKWz7O5pu+v0Zx1eNGL5fxxnajtVxI8oZBFFNVVnd1E7SsNiW6aOu6aTMufU1sjSdP7vp1fyf7T/hP46Fq4r+fu/jjNTL/N61LzmjVbCiKHTaCU6Wc6jAtekuNFnpJ5Fc1Agh8Eon8AqHG33ZzuIeO1z2OFH0aD6DWATw7aFD1Cc0GleE4CPVn1OOLObIwv8+q3ONVAQP7w8L2dd2W9y1bH6WRvmqx5oOmYwokUjmjvDrKPUh/HIf6CYoauMfKsqp14qKomjj2xT1iq1mvJBikRCCfaUCx2tlFue2Ez3xo9B2p3ktlaWvmdfYxVqGTx05gj8hqUpTVD55w6uI6OHn9qrrcSJfJTXFGqYQgu+cVl20qCnCS1e2hWJeIFAU6EjO3XJVIrnUkStA55nBapF9+SHa7MS8x3hq6CgPHHgmFGuzErx96aYzXui/sXmEoVI46/Xum1poTzYumE7gEYiAFfH2M9oIjZQdOhIWi9KyGalEIpG80HzyR/v4sx/vp+5b/OuW8WxhTWkIR4auYGgqhqZgasqEmII5Gm8ITAJUga42kgkSpkmTaZO0TOKGSU4HS69h6g6WpmLpKqauTnpt6uoZF7QlFw5b17AnZNB5fkCh7jJQqiMQqCikbIO2eKNfRMzUiBiTG8BezOjxLvzicYJ6HtVKTdoeu+qN1E78DGdo21issv+bRLpfjNW5YcbxNbu50Xw+swej9doZvzcLYilihsmWkZMM1kq0zbGvkaao/M91L6XZivKl/U+Htn3jyDbyTpWPX/9KjDP0KFIUhc5IkmPlHKqick26A3UGG6xLASECCHyE54Bfm/kAyYXFq+E7eQLFA0UDVUNRdFAurWvKhUYIgVc8hlc4etZiUdkJOJDzSZkq6hlEl2O1Io/lw4mHr3N3sVpkeW75RxCztAT69s4Ad0Iho6rAa65P0WTM3a7c8wMUBTrlIpxEIpkHgVNAK+6iPuijaY3rn0ABAUrjPxACBRoBRQWURh/MCfcsRdUb12F19LWio6ja+H5KWIAaE6TU0W2oF70gJQKPembnBRGLAA5VihyqFOnEIfX8X4e2BVqE/LoPjX4v54hf53MnTnKyVg6F33nVRtY0dUza/XiuhkLDpeF09vRXOTAYLpd924aeSQkM+arLwqRNxJC9QiVXHlIwOo9UPIftmV5S5vz7OgzXynz8uR8yMZdLUxTes+JOYvr0D9h7+6s8vCsfiq3qsHnZ1Y3FlUAICm6V1YlOomewyat7AYEQrOlInHEiIpFIJJLzT1+hxh//aO+U23wBvieoeQK4sNZUp8Qoa4KIdPrrse2jr01dxZ7wetpjpxCoTsUMTbkoJ2YXC7qmktRUkqOFL4EQVF2fQ5nKmF1dxFBpi1m0xEzipk7M1C7q+72iqBjNq6j1Po5ixFFOE1IUVaNp40cZeug3ERNEhtxTn6Ltl7+Kakxvv3sKLdKOWzyKYiYwUktm3D9lRri1fQk7s330Vgq02Yk5PfcpisJvr76NtBXls88/Enrm+1HvPvJOjf+94VfOaGt8SjQ6WsqgKnB10wsrGgkhQPgNwUf4IHxE0PgfMRoLPALfhcBB+C74DiJwEYEDgTu2f+D76IWTCP9G0OSE/WJBcfpxR7LUDXtsca6xMDe60KYaKKoBqomiGSiqiaLp49ne6ilxSQNVbYhNlzlCBHiFY3ilY2ctFnm+YH/WQ1fBOEPfIiEEXx/cH7quRIXDh2pPcHTB3ZRiy6Y9diJHs4InjoWri25fGeW6zlb0Mwja05GveSxOR7HlIpxEIpknimqgx9pRZ7gGNZ5JAmD0fxEgEI1nDr8+9nVj24R9lMY179QVVqBMeM1pgpTW2Kpqo4JUQ4Bq3OOMhkAVEqSMCSLTaYKUOl4VddaClPBwhrYj6kMXRCw6Ximzt1Sg1bBIb/0smpMLbS+ueTd+dLK4MxseGTzG94fDDkrr0l28dcXkhLBCrZEw1xKdOiHi21tHQl93JSx+aXXbpP1cP6CnSSbOS65MLv8n8xeIiX2LziTInHEMEfDxLT8g44S99O/u2cDy+OSL2SnqXsAXT7OiMzSFBfp5EwABAABJREFUezaNW9Hl3TJddopWa/rKJyEEI2WH9V1J4pb8VZFIJJIXGgXQVQXvIutN4/oC1/cpO/7MO59jJgpKp4tS468VLF0bFZtOvVZGj9UwNWX2Atboa0299MSq023shBDUvYD+Yo1juQoIBUNXaY40qpASlk7c0jGmyMx7IdHsNEZiEV65Fy0y+XlIT/SQvO595Df/5VjMr/RT2PLXNN38P2ccX1FUNLsNJ7ML1YyjRVpnPMbSdK5rWUjcsNiXH6bJjEyyxpiJNy69jrQZ4Y+3/BBPjIu+Tw0f472Pf4u/2vhrpK3pM/lVRaEjkuRwMYOqqKxKtc1bNBqr7hkVdsZFngkCkO82/p0SeHxn7DW+h+DUokzj2iVGXygIhOAMljE6im6ObtdQRIAiDgEX13XvikcEKFoMLdI0ITYqFIoAIQKEV0WI8niMoPG7oCgoYlRkEqKxkIYKmoGiGKAbKIoJmomqGROEpdGFOEUbXVDTGr8nlwANsegIXvEEmt3S+CzzH4wjeY+qG5COnHmcraVh9lSyodhv158lEu1i94LXz/J0gq/tCCei2IbCK9bGaDvDXPJM47m+YGFqbjaeEolEMh+UUUEnFDuH458uSIlTgpPvjL+eIFadEqbGBalTFVJMFqQUpSFIoY4LUqcSLlRj9N6ojwtSozFF1fEDgVo6gF9pwojPzzp0LvTXKuwoZmk2beJ9j2APPB7aXmvfSLX75fMae6iS5zPHwn34oprBJ65/1aQkrUA0erxa/z975x0myVXe67di557uyXnTbM67klYSIogkgVBAyBI4kLEwTiAsuDIIm2RsLpYNGGGSRPC1DTKWZCOBCCIIwSJptTmn2TQ7eTqnCuf+0bOzUzvTkzbNSud9nn125tSpU9U93VWnzu/7fp8+vsC2vyfPnpPe7KK3XtY6JhMpU7SJBcquDBLJixGpApwnDqT66c2naQqOtUuZKt/a/xzP9h/ztK2JtXFd44oJ9/v+pkF6Upan7bb11TRWlVeIMnYRv2YyJ1Q74U1jMGfRFPHRKhV1iUQimRU0Rv18/pYVfOxHexjIWZPv8CKg6LgUHReKk/c9l6gKU8uc0kZt0xRKmRw3VqVZ2Tzz+cG5QlEU/IbmifC2HJfksI1duQ9U+YYFJFOlYLvYjot2kTM99NgC7EwXwimhaGMDc4IL30T+2C8o9W4aacsdfBR/27X4m66cdHxFM1CNCMXeLfibrwJ18oVNVVFZVFVP1PCzdbCLomMT801vDvXalsVUmX4+9OwPyDunv+O7kz285+mH+MKVt9A8wdxSVRTq/GEOJHrBKbEoUo2C683uGRaAvNk9RVzXKos9o7J7xKh42vJChuD08obitWtR9fLPmh/08kL+uVjMF1InunRQFBjOFDr1hDGl5SnhgusicBDChlIR13UBF8d1EMqw6Mgp8VGMLAAqilYWmjzZTEb5f7wiU3lBTQMurG2eEA524jB27uTZi0VAd9ahO+tQE5j4+2ULl4d693namtw0by9tZ8eizyGmmOG0rVuwt8/7RbxuRYQ5VdEZBUYmCzb1YZMquQgnkUheAJwpSJ3ru4tXkHJGfhdO0StIuQ4jWVSA69qodgItuPC83/MGSkW2phLEDB/+4gDRnV/2bHfNKKmVfzEsfk0PIQSfObiTpO0tt/FXK19BS2jsnHggWySRt6gLj+/I9N9b+j2/14ZMblzeOKZfpuiwtmV6VtMSyQsJKRidB3rzafan+s+qbtHmgRN8de9vPW1xI8i7579swgvW/t48T+xMeNo66v1ctywGgOU6FB2L1bG2Cf3wC5YDApY1Sis6iUQimU38ydVzuXl5DR/54ROsmddB1rHJlmwsx0UIlaDqx8RARcd1FUqOS9Eu/zvz55LtUhj1c9Euiy+lSv0duXJ7CldA3nLJW9O3/3v44DauaI/xzivaWN8aO/cndxYYmkqVpnIq8NtxyzZ2BweyWLbDoZ4iyQP9+HSdgKHhN1QChkpA1/EZKro6XENLPV1L63w8aKlGECO+EGtwD1po7EOeoqjENnyEvh/+IcI+namd+N2nqX/9v6Oak8/RVCOE4xQp9W1Fr1035XNrDEYJGSZbBrroyaep94en9R5cUdvG/Vfewgee/V8SpdO2ekezQ7z71//JP629lgWBMMK1Ea4FYjijR9jlbCDXpko47OotUgoG6QgGGU7tGRZ8Tok9U8jukQ/JkguBooKmoox6NJ30kzc6mwkXYRdB5HGFPbJ4pghRzmY6tQuiLGSiDlsEGWXBWdVRNF9ZaFL1UfUptBH7oJHvyjQRroud7sTN9ZTForMUUdNFl8MJm5hvcmuiJ4eO02t563/dXXiak613kAu2T+l4jit46IzsouqQzlULAzT6Zxb4kLccVjVFZ7SvRCKRvNjwClL6lAUpxXUQevK8z+WSVolNyQFCmo5fVaja9k+otrfOUHL5n+H64jMa/79PHOSZVMrT9sqmDm5oXTamr+26dA7liVRwSDrcn2fnCW+U4R+ub8Gne+/NJdvF0JSKopNE8mJACkbnmKxVZOtgF1Wmf8Z1ixLFPPc+/0PcUdYbCuW6RRGjcoRryXb5+lO9HsMOQ1N49zX1qKqCEIKElWNhuGHCcYQQDOYs1rVUETTlR0QikUhmG5qq4NcV0Eu0hEPUmmHChp+gZo5Yj54PXCFGxKWSIyjYzsjPRdsZFpZO/SyGBSeHki3KmUD2sBg16ueSMyxajRaoxhGtZpsN39nyzNEEzxxNsLYlyjuvaGdDe2xWLs5rqkJ42JrOcVySAY3qoImgbI2YLFgM5AS2K8oBjaO9NBTQVRWfrhAwtPI/XcVvaCNikqEO/z9s8zcd9Gg7dvoYrpUdtzaRHm4muvbPST77DyNtbr6P5PP/TPzKe6f2+v3V2NluxODuKaW6nKrdE1YULo/VsivRw7HUSepMHwYM27Q5uI4Nwi5n97jWcNZPWewRwmWBcPjiwg7u3r+P7lJpZPz+Yp4/efYJ/r5jEasiVZS97tXhhW0FRTVB82MoKvU+OFgoYBBkfjAyKz9fEsmMOTObaXgtbXKh6ZQdUNleUVgZxHA20ykroXJNpmHbvGGhFWVYSNLMcr0lzUQZ/lk5ZZs3UiRdK1cSFBZ28iCi0I/qrz5rsajkCPYPWvh0BV2b+JVmHIvH+g542lbb3bzMp7Cl6ZYpH/OpTsHJtLftjWuriPlNosb0XShyJYewqVMTnJllu0QikUhmDxnbYlNyEFPVCOo6wc7/xTewxdMn3/JKik3XzGj8zlyGLx096Gmr9YX4P6teNe68tjtVpGg7hEPjCz1n1i6q8uvcurJpTL9E3qKjNjTrbLklkguJVAPOIY7rsn3oJOIs6hYJIfj4lh/TW8h42m9tXcfi6NgI2tE8vHmQk0mvRdEb11bTHCufS8LKUe+L0OCfOKKrP1uiNRagWfpKSyQSyawkoBm063Euq56H37hwli6qouDXNfz6hbcjc1wxvWypyUSpUT9PNG7RdjmfWtXmEyn+/OEdLGsI884r2nnZ/OpZv7CvKgqaplKeXVT+LAghcNyymJS3HNJFG9sVOI47bElRznURw2OaWtki75SoFDTKdafOFJb04fpRiqpjVi+h0PMsih4c930LLriFwrGfU+x+ZqQtf/gxAm3X4m+Z2sOrFqzHSh9DzdvYmXpc3OHaPcXh2j2j6/hYwLC9lqKwSAjMQp49g1mqdJ2App3O7kEZzu45le2jlW20hrN95vkVvryqlg/ueo5DudPzwozjcNf+vXxi8Rquqa6veN46UOf3syeTQgHmh2REv0RyurD46SjtKV1x3VPZTA7CKYFdwD2jNhMIhFBQFHBdgZY+jhNpQQ/WzsiGZzRCCA4lLEquIOaf/B78g959ZM8Que8p/pa9y/7PmFoelchbgkd3ebOL5tSYLG/XaQ7E0WYggKUKFquaotLBQiKRSC5x8o7N5uQgAojqBlrmOJE9D3j6OP5aUsveO6PxLdfl43s3UzrjXnbvmtcQM8cGLBQsm6OJHFX+8Z+Njwzm2XrUm3X7B+taCBjee6IryvbLTVG5Hip5cSMFo3PIgVQ//YXsWdUt+vdDm3m697CnbVm0mTc0r5pwv0N9BR7fkfC0za/18boVMQDydgld0ZgXqpsw+jxvOWiKwpL66dmnSCQSieTCoSgKQdWc0Fr0hYamKgRUbcyk/kJgO96sp/LPw5lUo34uC0ynfhbDfcsZViXHJVey+dWBPpKlsQrUrp4Mf/W/u1hYG+KdV7RxbUfttDNuZhuKUo6Cn4q+eEpYsl2XoYKDnS0NZ5WNqqEzKmspYJRrRQV0PwGrCmOwGyNQg64OH1NV0FUVVVGIXfERen/4+wjrtD1G4pnPlK3pfJPP2RRFRQvUohaew+ozUTX9dD0U5VR2T7l2j6KHTtf0GWZhCGLFAltTQ1hA3Jy6vUWdz8+/rNzAh3dtYns6MdJecl0+snszH+pYzg0NrRX31xWVOtPP7kwKVVGZGwxP+dgSiWQUp2ofYUwpm0lxHdBSaIHqsxaLAE6kHfpzLrWT1C0COFnM8vPkSc8ZvqG0l1jzazkeqHy9OJMf7nNJnVEf8I7La1BVqDbHZnVOhuW46KpKQ0QuwkkkEsmlTMl12JocIu841Pr84DpUbf0ciuu9aSRXfQBhzGzu+cDR/ezPea3t7pi3hqvq547b/3iyLAbpFbKCHt064HFjCpsav7e6eUy/VMGmIWwSrmBrJ5G8WJDfgHPEuahbtHOom3/Z/WtPW1T3c+eCl6NOEMFlOYKvPdXrcUrRVHj3S+vRVAXbdck6RVZWteLTKv/JXSEYyltc1lJ1URbkJBKJRCKZjeiaiq6phM7SQcdxXG5udthjVfGd50/Qky6O6bO/P8s9j+9hbjzAO65o47WL69EvceFoKmiqgqYq+Jh4MVSIU8KSIFtySBYs3FIjvsGjOKY2krkDAlUpZyWZup/QwvcS2PWPI+O4hQEGnv0c0Sv/Fl1V0CaxEVY0A2HUoIUaUGcg1Nb5/FwVr2NbapCeYp460z9l+8iobvBPyy/nb/Zu4emhvpF2B8FnDuwgYZX4/ZZ5FQN9dFWl1vSzK51ABdqlaCSRXBjOUfBdouBwJGkT96tTGvORrk04o8Qin7C5U+/neOPUo7wHc4If7/MGN6xpC9Jaq1Dnj0z4TFmJRN5ibnUQU5cWPxKJRHKpYrsu21MJEnaJel850yd08LuYyX2eftk5N1GqXTujY2xNDvJvJ7yB9PPC1fzp0vHdAVIFi+50kXhg/Oyio0NZnu/0ZhfdvqZ5XFEobzmsbpZZ+RKJFIzOAafqFsXMwIzrFqWtAh95/nEccTrtXwHe2/EKYmZwwn0f3TLIiUTJ03bLmmpa4+UI1kQpS3uoZtJx+rMl2qsCNMrUS4lEIpFIzgumpnDb0iZuXdXE47t7+eazx0Yi4kbTOZTnb57Yx1c3HuXtl7dxw9J66aNNOWupbE0HnHomDNahagtRs0cR/rqRvo4rcISL5QgG46+iOvYrAolnR7Zbx37CrsDl5GpeUq61pCn4dA2fXrZeNDR1OFtJReXs62iFdJ3LYrXszSQ5ms9Sbfoxpzhv9Gsan166ls8e2MnjvSc82758ZB+DVok/nbu4oghlqCo1pp8d6QQKCm3B6WcHSCSSC0/Bdtk/YBMylSllne5JnWBT0WtR/o7SdpKL/3haNZQe3uVijXKjUxW447IabNei3jf9AElXCFwBLdHp1z2SSCQSyezAFYJd6SS9pQL1ZnndUE/uJ3zgPzz97FAr6SVvn9ExMrbFJ/dv82QD6YrKJ9ddj3+cYAUhBEeH8pi6Oq7dqRCCH2xLeCzGA4bKW9a2jOl7qs5edUDW2ZNIpGB0ltiuU65bBAT0mdWREELw6a0/oyuX8rS/oXk1y6vGXsRG0zlQ5Afbhjxtc2p83LAqDkDSyhMzg7QG4xOOky3ZmKrKYmlFJ5FIJBLJecfQVG5e0cgNyxr4yb4+HnzmKIcH82P6nUgW+PRP9/O1jUd422Vt3LSi4aLUkJrtuKF21FwXOEXQygEzmqqgoWFqABrWirvwb3wPin26HlDd4ftJ1a/B1qtwhSBXckgVXRxXeDK3HVfQNViicDxJNGAQMQ0CpopPV/Hr2pSzhQxVZXkkRlQ32JlJEtYMQvrUpuO6onJPxwrihsn/OyPq8rtdnSSsEvd0rKgYvGSoKtWmn+3pBJoCzQEpGkkksxnHFRwYshEK+KeQleMIl//u2gKcDv6rdbO8umE5Cf/EtXBHcyQh+O0Rr0D+isVR4hEFTfET0acfXJjMWzRGfET8cvlBIpFILkWEEOzLpDhWyNLgC5TXDZ0isa2fQxHO6X6KSnL1B0GbWSD6Px3aTXfRG0z3J0uuZlHV+HU7B3MlBvMlaitYQRxNZnn2sPcZ602rmoiNk42ULlqsbJR19iQSYBLfD8mkHEgN0F/IUuOb+UP3949s48mT+z1tC8MNvLF13YT72Y7g60/1eJRyTYF3X1O2ryk6NghBR6R+wqKkjitIFmxWNkXxSys6iUQikUguGLqq8Lol9fznH63n729YwsLa8ecTvZkS//cXB7n5gWf5zqbj5ErOuP1etGh+nEgHammoYhfhqyW/6E89baqVILTvixhqObso6NOI+g3iQZPq0Ol/NUGDiKGgKQrJgs3hwSy7utNsPp7kd0eG2NqV5NBAht5MgVTBomQ7CDF+RpKiKLQHw1wRq8USDoOlsdaElVAUhT+Zu5g/n7tkzLYn+rr4P3ueJ+/YFfc3VZW4abIlNURXPjfl40okkgvPsZRDquAS9U3tkX1z1284hHeB7o+V4yQarp/yMYUQfG+b64ns9hsKt66tJu+UaA3GZhRcWLAFc+ITu11IJBKJZPZyKJfmUC5NvS8wEigV2fdt9MwxT7/sgjdjxRbP6Bg/6z/JE31dnrZ1NS38/oLx10Zt1+XwYI6wTx/33uQKlx/vTOGMypg1NYU/WDe2np/tuKiKQn1k6rVGJZIXMlIwOgt68mkOnGXdon3JPv555688bSHNx590vGJCkQfgB9uGODrotaJ7w+o4c2p8uMIlbeXpCNcT0CZOp+zPlpgfD8oLo0QikUgkFwlVUXjVwjr+3x+s5b6blrG8Yfy5xWDO4gtPHeamB57hgWeOkilWFgdebIhgE8KIgpWp2MdqfBVW3Us8bUbvUxi9v5x0fEVR8OkqEZ/uEZMifh1HCPqyJfb3Zdl+MsmzxxI8eyzB7p40xxN5BnMlsiUb2z39xFpj+rgyXkdEN+gu5HAqCEzjcUfLXO5duArtjIfjjUP9/OWOZ0lapQp7gk/ViBs+tqaH6C5I0UgimY3052yOp21i/qk9rpcKg3wvlfC0LXEGWDzvtmnVUtreLdjT570WvWFVnIBPQVc0Ysb0RZ9M0abKr1WsLSGRSCSS2c2xXJa9mRS1pn9k7mkObCN4+BFPPyvaQabjzTM6Rm+xwOcO7vK0hXWTv11zXcW10Z50kYLtVqzBfjyZZeMBb3bRzSsax81GShZs5sSC+KSTg0QCSEu6GZN3bbYOnjyrukU5u8Rfb3qckuuNEn7PgpdR45u4IPGxwSKPbh30tLXGTW5eXQ3AUClHSzBO7SRiVqZoEzBUFtbJAsgSiUQikVxsFEXhpfNruGZeNc8cTfCNZ46y+URqTL9kwebLvznCd547zu1rmnnL2pZxrRVeVCgaTnQR2sAmhB4cv16HopBf/Jdoie2o1un31b/nC9ixVQhf9bQPq6kKAVXzPKwKIbBcQbZkM5Qvnba3UyBgaERMnYhfJ6BrLA9GOaJpHMlniZs+fOrUHlSvq28mahjcu2cLhVFzyV2ZJH+6/Xf84/LLaPCNXy/Ep2lUYbI5OcR6RaXeJ+tXSiSzhZzlcmDIIWqOX49hPJ4+8iMGlQZP2x/FqrH841v4jIfjCh7a7nraqoMq1y2PkbHytATj6FO8Po0mU3RY0ywtfiSSc8lzzz3H5z//eQ4cOICqqlx55ZXcfffdNDZOzX7y4MGD3H///WzevJl8Pk8kEuHqq6/mfe97H/X13uvGF7/4RR544AGCwbGC8Zve9Cbuuuuuc/KaJLOT7kKO7ekhqk3/yNqnYuWo2nYfyqh8VKEaJFb/FajTX2Z2heDT+7eTtr01+D608pU0BqPj7lO0HY4O5YhWsDotuTa/2JPFck6fo6YqvHX92OwiIQSWI2iukvNhieQUMsNohiSsArZwZly3COCz23/O0azXOuW6huWsjbdPuJ/jCr72VK8nrVJV4N0vrUfXFDJWgbDuoz048aKH4wrSRYeVTVHMKfhiSyQSiUQiuTAoisKGOXG++nur+cptq7iyPTZuv0zJ4YFnjnHTA8/whacO05+tnFnyYkCY1biBRpRSsnIfX5zC4r/wtKl2msCez8M0snwmQlEUTE0l5NM99naxgIGqwFDB4mB/lh3dKbZ2pUkNCnx5nf1DaY6ns+RKNrYzue3gVfE6/nnF5UTPmI925rP8ybbfcThXOdvKr2lEDYPNyUH6zvCKl0gkFwfbEewftNEVMPWpCSxu71N8z631tL2UARqaXzWtYz/VKehKe9tuW1+LoSm4uNROEtA4HkXbxdCkxY9Eci7ZuHEjb3vb21i7di1PPfUUP/zhD0kmk9x+++309fVNuv/evXt505vexP79+/nWt77Fb3/7W77whS/w85//nFtvvZWBgYEx+7zzne/k6aefHvNPikUvbAZKRbamEsQMH+aoQPnI7q+i5Xs9fdOL344TmXgtsxIPdR1hU9L7uXtty2Kubx1rwXyKE4k8QpTrwo7HyUyWX+/3ZtLfsLSexuhYUShdtKkJGRXFJ4nkxYhUCWaIgCkXOB6PHxzbxePHd3va5gRruL398kn3fXz7EJ0DXr/716+MMb/WT8m1sVyHjnD9pBFgfZkiC2qC1IbkBF4ikUgkktnKutYqvnjrSr755jW8dP74wSB5y+U7m45zywPP8rlfHKQ7PfW6OC8oFAU3Mh9F2OBWtuuzGl5Oqf5lnjaj/zcY3T89r6enKuVaSWfa2oV9GjHdTyMhjiZyPHdyiB0nU+zuSdE5mKU/UyBdtCjY9pjaSCsiMe5fuYF60/sA3Fsq8Kfbf8eOVOW6TgFNJ6TrbE4OMjCNWkoSieQ8IARHkg5ZyyU8xbpFhpXg+717sZTTz326cHlD60umZUWXtwSP7vJmF82J61zdESFnF6nxhQnp039mTOQt5teEKi7oSSSS6WHbNvfeey/t7e28//3vR9d1otEon/70p+nv7+e+++6bdIxvf/vb5PN57rrrLtra2gBYsmQJ73nPe+jr6+Ohhx463y9DcgmQtEpsSg4Q0nT82ul7jK9nI8HjP/b0LVWvJDf35hkd52A2zb8e2etpa/BH+NCKayvuky7adKULVFVwV8jbJTbuK1KwTt/XVAXedlnbuP2zJZd51aEZ1eiTSF6oyJnbReBwepDPbn/S0+ZXDf504SsnFXlODJV4eLPXiq45ZnDLmmqEEKRKeeaH6wgbE6dSpgs2YZ9OR4Xi2hKJRCKRSGYXyxsj3HfTcv7t99fy6oW1jPdIU3Rcvrulizc++Cx/99P9HE/mx+n1AkcP44Tno5QGJ+xWWPwXuEbM0xbYdz9Kof88ntz46JpK0NRoCwe5praB1nCAku6iqJCzHE6kChzqz7K3J8OOkyn292U4kcwxlCuSLdq0+AJ8eeUVzA1453Up2+Ivdz7Lb4cqRxwHNZ2gprMp0c+gFI0kkotGT87hZNYmPsW6RQhB/tB3eEKf52l+fUCjJtwyrWP/aJ9L6oyv/1s21KMqCgXHptFfNa3xoOxmAdAclcGJEsm54ne/+x1Hjx7lta99LeqojI+GhgbWrFnDY489RjabnXCMnp4egBGx6BSnfj958uQ5PmvJpUbGttiUHMRUNYL66awbpZgkuv0Lnr6uHiC56q7xraAnoeg6fGLfVqxRwVAK8DdrX0vUHH9NUwjB0aEcpja+basQgsFCnl/u8X4PXrOojvb4WKvmgu0Q0FVqgi9ya2+J5AykYHSBKTg2H9n0OAXHG/X6znkvocE/vjfnKVxX8PVf92CPCv5SFHj3NQ2YukqilKPeH510HHvYU39lU1RGe0kkEolEcomxuD7MZ25Yynffup7XL61HG0c5sl3Bwzu6ue2bz/G3T+ylczA3ttMLGDfUCqoPnMqCmTCryC/5S0+bYmcI7LnvnFnTzQSfqrEkFKPdHyLtWugaVPkNqgLlf0GfhiMEQ3mLo0N5DvRn2NWdpi9hc3frChYFvPPAouvyf3Y/zxO9XRWPGdR1AprBc8kBhqwXt62hRHIxyBRdDg3ZxHzqlCOca/t/wZesGk9bFJtXtV4zrWMP5gQ/3u+95q1u8bGsOUjRsQjqBlFj/HpoE5HIW7RW+Qma0uJHIjlXPPPMMwAsXrx4zLYlS5ZQLBbZunXrhGMsWrQIgMOHD3vaOzs7AViwYME5OFPJpUrBcdicHESA1/JYCKp2fBGtlPD0Ty+9EyforaE3Vb52ZD8Hz7BP/oMF67msdvxMIIChvMVArkTYN/69JW0XeP6gQ6bktXZ+++Xjj5nM28yrCaLLtVGJxIOcvV1g/mnnLzmQ9kauvrRmERtqJ78p/2hngoN93tCv65fH6Kj3k7NLmJrGvHDtpA8ZfZkii2rDVAfN6b8AiUQikUgkk3KqeKrluuX/HRfLdhnMOwzmStSGfWdtezCvOsjHr1vMeza0883njvPYrh5s17vo5wh4bHcvj+/u5VULa3nnFe0srHsRZBerJk5kEVpyG0KrvNBp119DqfFVmN0/G2kzBp7FOPkEVvP1F+JMx0VTFOYFIoQ1nX35FKZwCWvGyDZNVzgz7st2Bbaj8L6GJXy1Zx+78omRbY4QfHL/Nrrzed7cMgdT08Z8/kK6jrAFzyX6uTxWS8yQ88RKyGLjknOJ5Qj2D1n4dAV9vAiAcTBLA+w58XO2+1/uab+pdh4hfXrf3Ud2uYxeV1MVePOG8uJf1i4yL1yHNs3IcSEEJcelLTZ9oUkikVTmlMhz5r1idFtnZydXX311xTHe85738PTTT3PffffR3t5OR0cHW7du5Wtf+xorV67k9ttvH7PPjh07ePe7382hQ4coFAosWLCAO+64gze84Q1n9Xocx8GZQs3G8fYr/+9O0vPFy6n3ZjrvUcl12JwaIm+XqDH9CPf03yZw4kn8Pb/x9C/UbyDX/Epwp/83fC45wH92dXraOiI1/PHCDbgVxrMdwcH+DEFDRbgCgfe5xxUumYLFT3amPO0vn1/NvHhgzHvhuALXcakLGjP6HE7G6c/puR/7hYJ8jybnbN+jme4nBaMLyE+69vHwke2etiZfjLfOv2rSfU8mS3z/ea+1SkPU4E3rqrFdl7xTYmWsFVOd+E+aLFjE/Abza8Y+dEokEolEIpk6tuNiueVFMcsRZfudU88tCpiaSsjUiPnLNWtMTSGYMgn6dU6mitSHzXMSzdYaC/DRVy/k3Ve08Z1Nx3lkRzclx/sAJYCf7u/np/v7efn8Gt5xRRvLGyNnfezZjAjUI/LVKFYKYVTOvi4seh/64GbUURZ2gX1fxq5eh/CPXZC5kNSZAfyqzt5ckkG7SFwzKwqNuqqgqwp+w8eH5izna137eTrlLUj8teP76UxluLV6DgGfTtDQCJoapqZiagph3UDYsCk5wOVVtUQNac9xJhs3buRd73oX73rXu3jwwQfJ5XLcdddd3H777Xz/+9+nrq5uwv337t3LHXfcQXt7O9/61rdoa2tjz5493Hnnnfz0pz/l0UcfpabGmzXyzne+kz//8z8/ny9LcpEQQnAoYVN0BDH/xNbko3ai/dCXudtc72lu0RSuqemY1vGPJgS/OeK9X7y8I0hLzMQRLihQbU4/yCBTdKgOmMQq1JeQSCQzI5MpZ2P4/WPtuk61pdPpCceIx+N885vf5FOf+hQ33ngjhlFeLL/tttu45557xh375MmTfOpTn2LVqlX09/fzjW98gw9+8INs2bKFj370ozN+Pfv27ZvRfkppCB04cODAjI/9YmGq75EtBHuLOYYcmxrdYHTej2kNsurQlz39LS3MzqpbsI4em/Y5ZV2HT/R2etoMReUdscUcPnCw4n59eYfjaZtYBevWtFNkz0kfiYJ3gfyV9S779u0d0z9VdIn5NPYVK2fhnwu2b98+eacXOfI9mpwL/R5JwegCcTyb4O+2egspm4rGny185aQij+sKvv5UL5bj9fV89zX1GJrCQDHDvHAtVZNYBdiOS77ksm5eTKZbSiQSiUQyCY47nBnklEUh23HhVOUgBXRFIWhqxP0GYZ9OyNQxdQWfpuHTVQxN8SzuO45Dt09jZWuMo8kie3rSRPx6RUuF6dIY9XP3tR2844p2/m3Tcb6/7SQFe2xU4S8PDfDLQwNcOSfOuze0sbp5+rUpLgkUFTfSgTbwDOghUMZfjBVGlPzSDxDaeu/pXZ0cgd3/SG7N30+rcPz5IKIbrArHOZBL0WcVqTF8aJOck66o3Nm8iKhu8MPBE55tP0mdpIDDH9Z1ULAc+jKn55emrhIwNFBdfl7o5srqWmr9PjRVzhthbLFxVVVHio1fe+213HfffXzmM5+ZcIyJio1/8pOf5KGHHuK9733vhXg5kllAV9qhL+dQG5j6d6yx72f8d0Ghxx/2tN/atAp9GplAQgi+t831xGf7dLj1srJQnrYKNPir8GvTF32yJYclrWFZQFwimYXs37+fO++8k5qaGh577DHmz5/PoUOHuOeee3jLW97C/fffT0vL6Tpo73jHO3jPe94zIiTV1tby4Q9/mF27dvGd73yHG2+8kdWrV8/oXBYtWjRuBu1klDLd7H9mNx0dHWhybWtcHMflwIEDU3qPXCHYmU4QKOSYa/q9127hUv3sV9Ddgmef9Kq/oLlhxbTPSwjB3+7fzpDrLdPxZ0tfwqvmram4X9F2GTqRZGl9OQjvTCzXJlkq8c1NA8BpweiqOXGuu3zZuGN2pwpcNTd+3tyXHMdh+/btrFy5Ek2bYlDIiwz5Hk3O2b5HuVxuRuK8FIwuACXH5q83PU7W9nrCv7ntSlpD8Un3/8nuJPt7vRfn1yyrYnFjgGQpR9wM0RSITTpOb6bEsoaIjPSSSCQSiYTyw9GIXZzjUnIECqeThFRFwa+rRHw6QbOcJeTTVUxNHfl/vGKrk6GpCh21IeIBgy0nkvRlitSGKmeOTJfakMn7Xzaft1/exn9sPsF3t3SRLY1NRd94ZIiNR4ZY31rFO69o4/K22AtucU+YMdxAK2q+G+GvqdjPrr2SUtNrMU/+eKTNGHwe88QPKLXeeCFOdULM4bpG4WKWI4UMYc3Ar078wKAqCn/QMJ8q3eQ/e711Cp5K9ZJxbf6sZQnh4cAlIQS2EOQsB8txydgFjg0dY2koRo3PJOLTifh1/Lo28vl/oX1eJuNUsfH3vve9FYuNf/SjHyUUqpyRIYuNS06RKDh0Jm3ifnXKwrSv2Efk6L/ztZDXMmp5IMqqUOVr3Hjs6BHs7vNmF92wPExVQEcIgeO61Pumn4lasBz8ukptSNpaSiTnmnC4LBQXCoUx2061RSITf2/vvfdeTp48OZLlCtDR0cF9993Ha1/7Wj760Y/y4IMPjjnmmbz61a9m48aNPPnkkzMWjDRNm9EC6Kl9NE1FnWQ+9GJnsvdICMGBbIrjxQIN/hDqGfejYOcP8A1u87TlW15NqekaZjIL/HFvF08O9Hjarqht447568YcezQn0wVQFPzm+K8lbRc51KXTn7U87e/a0DauYJYp2lSHfNSG/ed9PjvTz/mLCfkeTc7ZXi+nixSMLgD/svtp9iS9liCXVc3nVU1LJt23J2Xx0HMDnrb6iM7vra+h4FgoCnRE6if1lU7kLWpCJnOrpRWdRCKRSF4cCCGwR1nGWY6LKwSnsoQUBXzDtnF1IZOQqeM3Ti2GK/h0DW0GgtBUqQmZvGReNTu7U3SlitSFTYxzGCUZCxj8ydVz+cN1rXx3axf/ufkEyYI9pt+m40k2HU+ysjHCOze085K58ReUEOCG56IWusEtgVp5ATO/8E/K1nTFvpE2/4GvYtVcBubMivmeS1RFod0fJqQZ7M0lsFyXiD55ENAbalqJagZfP7mP0flmmzOD/MPRHXywbRkhzUBRFAxFwVABQ6MKg7RtcdzJEHCiFHMu3ekiZUlVQddUwsNCasjU8OmnMuteuJG+kxUb37RpE1u3bp2wdsSiRYt46qmnOHz4sKewuCw2/uKiYLvsH7QJmcrU7zNCsPjQF/l7cy155fR3XwV+r2HptK7bjlvOLhpNPACvW13OLso7FmHDT0Qfa001Gcm8zdKGsHS0kEjOA/PmzQOgt7d3zLZTbXPnzq24fy6XY8uWLTQ1NY0buNDU1MTGjRspFArjWtON5pQF6+Dg4IT9JLObw7k0B7Np6v2BMYKNljlGZM+DnjbHX0dq2Z0zOlZ3Ic99h3Z52iK6ycfWXDehWJQp2nSlChWD3/N2CZ9i8PDWPk/7+taqik4K6YLD2pboC+qZRyI5l0jB6Dzzq+6D/OfhzZ62ejPKO+ZXfpA8hSsE3/h1z5g6BO+6ph5Dh4FigeVVzZPaBJRsl5Ltcnlb7LwufEkkEolEcqGxh23jxtQRGr7dmZpK0NCIhTTCPp2AoXmyhC724rbf0FjbEqM6mGdXT5qQqRHxn9vpWcSv8+4N7bxlbTP/va2bf3v+OIM5a0y/7d1pPvDoThbXhXjnhnZesaBmwoe3SwY9iBtegJbaixuYQPgxwmVrui1/PdKkOAWCuz5HevU/XIATnRo1ho/V4Rr25hL0W0Vq9Mmz014WayCs6XzxxB4scXqReF8+xSePbONDbSuoNnxj9ovoBim7xMFSmuWhGFH/6Tmn5bgULJdUsYDrnp6r+nWNsF+jym/g18vfM5+uvSA+S7LY+On9AFxcT0FsyWmc4e+E4wo0vO+RIwQHBm0cARFNATG1guTNPT+iK9PFf0de7mm/pqqZVl9wyuMA/LpT0HVGmZNb11RhKOA6LlmrwKJw4/B3W4w7xnjYrgDhUhc6PwXEp4MspD058j2anItVbLwSV1xxBf/6r//K3r17ef3rX+/ZtnfvXnw+34TZPoVCASFExXmDqqq4rksul8Pv95NKpfje977Hu9/97jF9+/v7Aaiurj6LVyS5mBzLZdmTSVHn84+1O3ZtYls/h+J6nZKSqz6AMKZf284Rgk/t30bW8Qav3bPqldQHxs9ig3IA4NGhHIY2foCFEIKsU6TrpJ+TqaJn2zuvaBvTH8prpKauUBceO/eVSCRlpGB0HunJp/nElp942nRF451zX0bYnPzC9OSeFHu6vanGr1wSZWlTkIFihvZgnBpf5QvrKQayJVY0Rj0P+RKJRCKRXAo4rsByXSx7uI7QsCCkKCAE6KpCwNSI+Y0R6zifruLTNExduSRss1RVYV5NkFhAZ0tXkt5MkbpzaFF3ipCp80eXtfJ7a5p4dEc3337uOL2Z0ph+e/uyfPgHu5lXHeSdV7TxmkV1l3zAiRtsQc0dBztbrmdUAbvmcorNN+DremykTU9sw3fif4E15/9Ep0hI01kZquZQPk2PlSeum5PWLlkXqeGe9hV87tgucqN8448Xc3ziyFY+1LaCZt/YTPSobpK0S+zOJVgWio9Y4RmaiqFBkNM2B64Q2I5LsmDTP+qzpSkKQV85Gylslq0d/cOC7Wz/fo5GFhs/47y6TpLUk2c1xgud48fGFgM/kVPoKSjEDEFuiuOE7H6u7vkmbwt6RUIfClfaQbq6pm5lWHQU/ntHDYz67jYGLVp9aY4czWALl4KwiftshqZREwkgUXSpD2jsLZzfAuLTQRbSnhz5Hk3ObHmPNmzYQHt7Oz/+8Y/5y7/8yxF71J6eHjZv3szNN9/ssUXt7e2luroaXS8v/VVXV9PS0sLJkyc5efIkTU1NI327u7vp6uqiubl5RARKpVJ87nOf49Zbbx0jDD355JMAvOxlLzuvr1lyfugu5NieHqLa9KOPU6sydPB7GMn9nrbs3Jsp1a6Z0fH+48RhtqSGPG2vb5rPq1smdl5KFCz68yVqK9QZStsF4nqIL2z23gdXNEa4vC027j7JgsW86hCmLjNhJZJKSMHoPGG7Lh/d9ENSllfwualxPUvjk9ua9KUtvvtsv6etNqxzx+W1pK0CEd1Pa3Byn+rBXIm6sI/2eGB6L0AikUgkkguAEILSqDpClivKQdLDxYRUtVxHKGRqNPh8hEdZX51NHaHZSDxocvXcanb3ZDiWyFMbMs/Lg4xf17hjTQtvXNHED3b38K1nj9F1RkQewOHBHPf+aC9f23iUt13eynULa8/5uVwwVB0nught8HmEFpywXkhh4R9jDD6HWjjtrx449A3Mlo8Ccy7AyU4NQ1VZGIwSKuocyqeJ6JPXNVoUrOLeOav47LEdDI2qrdlvFfnkka38VdsKFgTG1j6o0k0Sdond2QTLQjF8FY6jKgqmrmHqwKjYKMdxKTqCnnSRrpGiyQJTL4tIkeHsv1MZSdo4CxcvFF4IxcYdx2H3k8/S1NxELDC+1cuLHccVHD92jNa2No/gPpB3EP0Oi+oU9Clb0bms2fMvPKm18qze4tn0htp5LKoZP4K6Eo/scsmckWT6R1fVM6+1XFt3yMrR4o/THppe1oAQgt5MkZfMraZqFtTMlYW0J0e+R5NzsYqNV0LXdT7xiU/w7ne/m89//vP8xV/8Bblcjo985CPU1tbygQ98YKTv448/zgc+8AGuvfZa/vVf/3Wk/e677+YDH/gAH/rQh/jsZz9LU1MTJ0+e5EMf+hCu63L33Xd7jimE4O677+YTn/gELS0tZDIZvva1r/H0009z2223sX79+nP2+iQXhoFSka2pBDHDhznOnEtP7CN84D88bXaojfTit8/oeHszSb5+1Cs+Nfn8fHDVaybczxWCw4M5woY+boCRI1ws16GzV6FzKO/Z9s4r2sbdxxUC14Xm6PQtVyWSFxNSMDpPfHXvb9k65I2sWhNt53XNyybdVwjBA0/3UrS96f/vfEk9muZSsB2WR5rHjQIYTdEuR2Ivb4y8YBbTJBKJRHJpcaqOkOWcqiXk4p4ShIbxaSphn0ZN0CRs6gRMbbiGUFkQejHVQfDpGqubo1QHDHb2pPEZKlXnKUPY1FVuXdnETcsaeGJvHw8+e4wjZzxsARxN5PnkT/bztY1HeW2rTutch0jg0vubCF8twl+PYiUQZrxyRz1IbukHCW/+0EiT4hZp7/0mdstc8EVA84Ny8RfXVEWh1R8ipOnsySUpug5V+sSF5tv8If5m7mr+/ugOukun/95px+bvjmzj/a3LWBke+/7EdJMhq8jubJKloaqKotF4aJpKUIPRGQ1CCCxXkCnaDOZKiOFpr6IoBA21nI3k0zFUKM0StyRZbNyLiooii42PyykbOk1VRt6jnOVyICGI+jV0berPZq3dPyCQ3ss/hP/Q015r+Hl1dTtMIwtoKC94wrtmx8pGhZVzyoGIrhCgQH0wMm6R8IlIFizqIwGqw7NrEU4W0p4c+R5NzoUuNj4RV111Fd/61rf4/Oc/zzXXXIOiKFx55ZV897vf9VimxuNxwuGwJ4sI4HWvex3V1dV84xvf4JZbbsF1XVRVZdWqVTz44INcddVVI32bmpr48pe/zA9+8APe8Y53kMlkKBQKLFy4kE996lPcdttt5/z1Sc4vSavEpuQAIU3HP97n0ykS2/aPKOL05EsoKonVHwRt+hZuRcfhk/u2YYvT65sq8DcrX07EnDiwvTddJFuyqQ2Nf9xUKU+Tv4r7Nx33tC+sDXHNvPGDHlIFm/qIec4twCWSFxryG3Ie+F3fEb514FlPW50vzJvbrsbUJ58w/GJfip1d3gWbly+Ksqw5wGAxw6JIAyF94gu1EIKBbInVTVHCPvlnlkgkEsn541QdoXItITFSu+EUuqoSNjVqQ2VBKGhqIzWEZkMdodmGoii0VwepChhsO5mkJ1WkLmKetxowuqZyw7IGrl9Sz5MH+nngmaMc6B9rlNSdLvLt3UX+68CzXLe4jltWNrK0PnzpWIopCk6kA6P/t+W6KxMsdDvVaym23oTv+P+MtIWLB2HjH438LrQAQg8itCBCDyH0IGjl/8e2D7fpoeH2IAz3QT37eVrc8LEmXM3eXIp+q0C17pvw81Jr+PnYnFV87thODhUyI+1F4fK5Yzu5s3kRV1eNrdMTN3wMWkX25JIsDVZhnoVYoCgKpla2jRxtEui6ZXG5P1eiO13EcQWJpM1yx73oDy6y2LhkptiO4OCQjaaAqU/9mhnIH2fese/wgLmaY5o3m+tNdR0Y0/wOPrLL9QiwCoI3X3Y6ezRnF4mboUmfNccjV3RY0RCd9n4SiWT6XHbZZXznO9+ZsM9VV13Fpk2bxt22YcMGNmzYMOlxNE3jla98Ja985StndJ6S2UXWttmUHMRUNYL6+LOqyN5voWe8dqrZBW/Gji2a0TG/fGQvnfmsp+0PmuewtnHxhPuVbIcjQzmiFYSdkmujKgpHehT293vHf9eG8bOLAPKWw6omea+SSCbjYj93veDoL2T5m+ef8JQG1RWVt7RcQ2NocsuHgYzFfzzjtaKrDum85YoaEqUcDf4q6v2TX9wGcxZNER+tMWlFJ5FIJJKzwxXD2UH2cD0hR5xyjANRjqAOmOVMmJCpE/ZpI9lBp/6/ZESFWURVwGBDezV7+9J0DuWpDhr4pxB4MlM0VeE1i+p41cJanjo0yDeeOcrunsyYfjnL4eEd3Ty8o5tFdSFuWdHI65bUXxoBKkYEJzQXNXsU4a+bsGuh493oA8+i5cevDaI4eRQnDwyc1SkJ1TdKYArCKFHpVDt6aER8EqPEJ0b1C2gmy0MxOgtpTpbyxDQTY4Js9Khu8tdzVvHPx3exI5sYaXcQ3N+1l7RjcV11y5j9qg0fg3aRPbkUS4NVEx5jJqiqgl/V8Bvlz7rruPQJgRCT7HgBkMXGJTNCCI6mHNJFl+rgNK7hwmHJoS+QQONL/ss9mzoCVVwWGSvqTsSxpODpTu8X6WXzNNrqYyO/F12bjsD0xoXyAlzIp1ETmjjDUSKRSCQXh4LjsDk5gACi+vjuBebAVkKdj3jarGgHmY43z+iYG4f6+K+TRz1ti4NB/njZy1AmyY7tShewXYFZIUsvbRWYH6rjIz/t9LTPjQe4tmN8G+285RAyy64WEolkYi6BJ/tLB0e4fGzzjxgseaNyb2xax4p446SLZUIIHny6j4Llnci/4+o6hGrjR2deuHbScQq2gxCCpQ3Sik4ikUgkkyPEacs4ezi6v1xHSIBQUFUFn64QNnXCPh8hU8M/XEfI1FV8L6A6QrMNU1dZ0RilOmCyvTtFXnWIn+eHHFVRePmCGl42v5qNRxJ845mjbO1Kjdt3X1+Wz/78IJ9/6jCvXljLLSsaWd0cndUCoRtqR813gVOc2FpDC5Bfejeh5z+IwvlTKxS3iFIqAkOT9p0IoRgIPUhcC7JC85NVfMNiUxBHC+BoQWy9/H/59/LPH4v7+Twhns56ozO/03OIlG1xW92cMX/Pat3HgF1kby7J4nMsGtmuYN+gy+Zemy29Djv7HRRnLoEl/bxxTWjyAc4jsti4ZCb05hy6MjY107TybDv5CFWZvXzM/woyivdadUf9omldZ4UQfG+b67mS+TTBretPC+dFx8KvGkSN6QccJvMWq5qinnpNEolEIpkdlFyHrckhco5DrW/8DGbFylG19T5Pm1ANEmv+akbZ8AmrxGf27/C0+VSVjy1ajemfONglW7I5kShUrIeXs0sENJPOXpcd3WnPtndc0VYxyz5VsFjeEJXPrRLJFJCC0Tnkm/uf5bl+b+rm2ngbL6tegm8KEcG/PpBm2wmv2HRNR4TlLX6SVo5VsbZJbQeEEAxmLNa1VhG6FCJ9JRKJRHJBKFvGnRaFHKdcpwABKOU6QkFToyaoEzZ1/IbqyRJ6MdURmm0oikJLLEDUb7DtZIruVIG6sO+8L8wpisJVc+NcOSfG8yeSfOe54/ymc2hc6aRouzy2u5fHdvcyrzrAzSsauWFpA7FZUPh8DJofJ7wQPbkTN9AwYVcnvpL80rvwH/o2arHvAp3gzFCEhWIlwUqiAdOpIvIg8Cn/y/i2b42n/dGBY6j9v+FDSieKflpkcrQAjVqQJAYDRoTGUC2aEUKMsuRDC0yptkrOEmzvc0YEou19Dnn7zF4mb39oJzetar+oC9Ky2LhkuqRLZSu6Kt/0Mm1DuSPMO/7v7FOr+U9zhWfbldFG5gWmZ6ezo0ewq9d79X7dYo149HTNraxdZF64Dm0aNZGgPL/QVZX6yPRt7CQSiURyfrFdlx3ZFINWkQZ/5YCAyO6voBW8c9304nfghNunfUwhBP9wYAcDVtHT/qctrSxoWDLh/VAIwdGhHJqqjDvnE0KQc4osr2rhnp8d9Gxrjvp57eLxs2RtV6Cg0CDvVRLJlJCKwjli88AJvrZ3o6et1hfiloYrpxQJPJSz+X+/81rRxQIav39FDQkrx7xQ3ZSivQayJVpifpqrZlexUYlEIpGcX2xXYDsupTPqCCmUJ9a6phEyVWqCBhGfQcDQRmoImZqKoSmzOitEAhG/zob2GPv6sxzszxIPlv+O5xtFUVjfGmNNU5SN23axqxDhf3f1cDJdHLf/4cE8//yrw3zp6U5esaCGW1Y0cllb7LzVYJoJItiIyB0DKw1GZMK+VvP1FBtey5Ejh5nTUo8m8ih2DsXJodhZGPl5+J+TRbFzYGdH9Sv3VZxcuf95zFiaCSpwb+FX1Ioc9/mv9mx7WGkjY5X45+SP8OGMP0AFRuzzRtnoFQnSZwXoKvg5kvNzNBcg5QbIuEECIsAyNUhaD5AR5basCOCgUXIE2ZJN1H9xRUhZbFwyVSwX9g/ZmJqCoU39+qe4NksOfh5V2Hwm8FLcUQKOqajcWrdgWufhuILvbXc9bTGfy+tXN57uI1wURaHanH4WXyJvMbc6OKUASYlEIpFcOFwh2J1J0l0s0OCrvJ7o6/ktweM/8bQVq1eRm3vTjI77WO8Jnhr01nu8sirGG9uWoppVFfYqkyxY9GVL1FawOE3bBWrMMEd6LZ4/kfRse9vlregVAosSeYv2eGDE8lgikUyMFIzOAYlinnuf/yGjk/xVFN7a9jIaAqEpWdF98+leciXvRP7tL6nHVovUGGGaA7FJzyNvOaiKwtKGiFz0k0gkkhc4QkBPuoA27OusKeU6QlGfQdhXriN0KjtI1hF64aBrKssaIlQHDLZ1pciVnAtaM6Lar/HOVW28c0M7zxxN8MiOk/zy0OCIQDkayxH8ZF8/P9nXT0uVn5uXN3Dj8saKD4AXFEXDiS5EG3iuXAtoKhH1ijpcXyhydnKPEOAURoQlxc7BsPiknCE+MaqPMqoPw+KTIqYn4EyEAryv+Bw1bp57A9d6Fql/YizgHaGb+Ur2B0QoTX1Mp3zeozGAMDAPeIkBTLxuAMBBq5lj8z500cWiU8hi45IxCEHBFhQcQbYkGCrYHEyo1JuC+HTqFgHtXf9FJHeQX+pzeMqY49l2XfUcqo3pBQY+fURwpqvoG1ca+APhkd8zdpE6XxS/Nr3vmCsErgstUVk3VyKRSGYLrhAUHIdOq4go5Gj0V16XVIsJotu/4N1fD5Jc/YGpzY/P4EQ+x+cP7fa0xXSDD82ZgxFtm/S8Dw/mCBn6uOfrCBfLtWkPVvPXTx7wbKsPm7xh6fjOAUIIbEfQUiXvVRLJVJGC0VkihODjW35Mb8FbFPr2Oetp9dcQMCd/QPjtoQybj3kfpq+aH2Zpi4HlOswP100alesKwVDe4rKWqgsSbSyRSCSSi4dPV1lcbbKmLUbANEYEIVk74MVDY9RPxKez/WSak8kidRGzYkTd+UBTy3Z1V82NM5gr8diuXh7Z0c3RRH7c/ieSBe7/zRG+8tsjXDOvhltWNnLVnPhF/cwKXw1uoAm1OIDwTeylfk5RFNADCD2AOBtXDCHALY1kNTGOsDSS0WRnKZbS5EspTLeA4ebRnPI/3c6hCmtk2DusnVSLPH8ZvJ6ScvpR4Rm9ld8Pv4lvZB+lXuTGO6PzxgKji47ev8G134mqyyx6yUVGCIoOFByXvCVIFF3SRYF9KrNXAUOFoC6IT7NuUTh7iDld38NC5e/8L/Vsq9JNrq+ZU2HP8SnYgkd2eYMSW6MOL1vszXyzHYcG/8TZluORKtg0REwifrmsIJFIJBcKIQQl16UkXIquQ9F1yds2Gccm69jkHBvLcThuFVlr+iuvJwpBdMcX0EreTJ3UsvdOats8HrZw+eT+beRdb0DT3XPmUR9tRTXCFfYs058pkina1IbHnyCnSnlaAnGODlr89oi39ucfrW/F1Me/52aKDvGAQZW8V0kkU0Z+W86Sfz+0mad7D3va1la3cll4EbHA5BG0iZzNdzZ6fUKjfo3f31BDxiqwMtYypUivgaxFe1WAxqh8iJZIJJIXOpqqUB/UqA/7RjKMJC8+Qj6dy9tjHOjPsK8vSyxgEJxCoMq5pjpo8keXtfKH61t4/kSSR3Z08+T+fkrO2DwcR8AvDw3wy0MD1IdNblzewM3LG2m6SPMXNzIfrdCLcC1QZ0f2ypRRFNB8CM2HID6lXUp2ie25JJbrEtPNkehNxbVGBCTNydHs5Pl4PsMnh4rkRv0Zd2t13Bb9I76o7GKum0CxczilPKqTx3TzBJTC+XilAIhSCmUGka4SydliOYK8LcjbLqmCIFVyKQ5f31QFDFUhoCveWn/CJTlNPVxxLZYc/GdU4fD/zFUc1LxC9q21C/BNUs/2TJ7Y55I842t5x2ofmu+09VzOLhE2/ERmIMbmLYfVzdOrpySRSCSSiRFCYAmXkutSdMv/5x2LtGOTsx2yjoUjxHApWgVXCHRVxVAUDFWlSjfRdEFBN9AmCD73n/gZ/h5vaY1Cw1UUWl41o/P+t+OH2JFOeNpurG/hmqooerh5wn1LjsPhwRzRCqJOybXRVIXmQJyP/nyfZ1s8YHDLisZx9wPIFG0ua4tJtw2JZBpIwegs2Jfs4192/9rTFjcD/EHrSwioxqRRs0IIvv3bPrJFb9TX266uw1aLtAeqiU/BRzpXctBVhcX1YXkBlEgkEonkRYSmKiyuj1AdNNlyIknecqgOGhdlPnCq1tH61hh/9QqLH+0pZx0d6B8/G6U3U+IbvzvGA787xoY5cd64opGXzq/G0C6gKKCHccLzUTMHEf7xi+S+kIjqJqvC1RzIpei3ilQbPjRFQagGtmpgG6cXftui8JGqDJ89uoOkczoDqQsfb3GvIN67gp7+CILTnzUNh6BSIKzmiCh5ImqOsJojrOQ9/8e1PG3BPE2+ArVGnoiaR3NP13rCyXvqPAlUIlfci6LNAjtDyQsa2zltLZcqlsWhvOUOL8qBoSn4VIWQoZRF23PI3BP/STh/hCQ+vuDzWha2+yJcVdVUYc/xGcoLfrTPK9yvqLNZNde7aJd3SiyKNEz7vpEp2lT5daqnECQpkUgkEi+We0oQcigJl4LjkLEtso5N1rYpCVHOJh++NKuUxSBDVYnoJroycf1Z4U5sW6zme4ju+ldPm2NWkVrx5zO6v+1KJ3jw6EFPW6s/yJ+2NKGHm1GNidc2T6aK2K7ArFAPL1Uq0BGp59hQkV8cHPBs+4N1LRVrExVtF7+hzQ5LbInkEkIKRjMk41j83x2/xhGnxR4F+MvFrwTHIByY/K195nCG545kPW1XzA2zuEUjoJm0Bie3R3GFIJG32NAel8XbJBKJRCJ5kVIX9vGSedXs6k5zMlWkPmx6o90vMFV+gzvWtHD76mZ2dqd5ZEc3P97XR95yx/QVwMYjQ2w8MkR10OCGpQ3cvKKBOfHgBTlXN9SKmjsOdh70F763uU/VWBKKcbSQ4VgxS5VmYI6TteAK0IphXq2u5jFrBwX1dJpCSbHort0G+eWQPZ3d5KCRFiHSToiTo8aqCyisrdOYU6+ztkGjI+a10BxjZChcXDtPNpNEsbOIdC9XXfaBc/QOSCRlXLecOVSwBWlLkCy45G2BGI7aNlQFU1OI+9VzLg6dSSSzj/au/wbgS/7LGVK916I3Nyyc1KL8TB7d5VIatV6oIPi9NX4U4/S11XIddEWlegpBimeSKTqsaY6iSjtciUQiGYMjTmcHFV2HouOQte1ylpBjU3RdxKjgGOWUIKSoBHWDqkkEobNCuFRt+ydU2xvUlVr5F7i+2LSHyzs2n9i3DWfU69FQuLdjOUFVQQtNHPCQK9mcSOQrWsbl7BIhw6TOF+FLv/BmF0V9Om9aVXn8RN5icV34oj4XSSSXIlIwmgFCCO7v3krPGXWL/mD+eqpENdEpiEWpvMO3N/Z72iJ+lTdviOMIm45wPbo6+QWtL1NiXnWA+sjZmOBLJBKJRCK51AmaOutaYxwezLG7J03ErxP2XdypnqIorGiKsqIpygdePp8n9vbx6I5udvVkxu0/mLP4zqbjfGfTcda1VHHLykZe2VGLr4In+TlBNXEii9ASWxEvAsEIQFMU5gUihDWdffkUpnDxYXBoCPb1w94BhX39kLUUIATaWpizHSVw+u+maA6ifTucWAqpOs/4LVFBe7XN5fUGr2kN0RxWp7XoUbAF6ZJOQ3ULbVU+ju353bl66ZIXKUKUhaG8LcgN1x3KlARieG1LU8DUIWoqqFN4BjuXqG6RJQc/j4JLp1rFd8zVnu3rwnUsCk7NdvIUx5KCX3d6s4uuabeZ29jqactYBVqCMfRpWt2VbBdDU+QzqEQiedHiClHODjplG+c4ZF2bjF2uI1RwHNzhDCFlOG/aGLaN82kaYd2YdiDAuSLY+T/4BrZ52nItr6bYcNWMxvuXw3s5XvCKT29rW8ASH2jhZtQJ5tdCCI4lCyiqgjaOqCOEIOcUWV7VQleyyE/2eUt6vHltc8XnHccVIKBR3qskkmkjBaMZ8NV9G/lN5qSnbVW8iVdUryRvuVNSrv9tYx/pgjdF9A821IJeYmG4kaA+ebpkpmgT0FUW1k1cOE4ikUgkEsmLA1VVWFAbIhYw2NqVpC9TpDZkzgrL2pCpc+vKJm5d2cS+vgyP7Ojmh7t7yZTGt8x4/kSS508k+ZzvIK9bWs8tKxrpqJ1+FPxUEIF6RL4GxUohjBdHPY5UUbCnT+eZkxF+11Oic0jBdit8ThwTOlcj2naihBMjzYoqoHUXdakONoSaWVQjWFQLYRNcodJv57AMBZjaXNV1BYmChaGqrGiIEg8YCDE2K00imRBRtpQrDItDyaJLuihG6j2oCvg1hYipTGohfiGYd+zfCRWOA/BZ/0uwlNPija4o3FbfMe0x/2u7y2i5yKcJblkZRDFOL9q5QuAiqPVFpj1+omDRURO6sBaiEolEcgERQngyhErCJWvbZB2LrG2TcxxcyoLEKds4XSlbxpmKSsDUJ6wfdLHQMkeJ7P2mp83x15FedueMxvv1YC+P9hzztC0LV/HW5jYUJzdpdlGqYNOTKVAbHH8NNG0XqDHDxI0gX3puP+6om1vQ0Lh9TeXaSKmCRXOVn9BFDqCTSC5F5LdmmuxL9vFXz/7A0xY1/Hxg8asYSNtT8sXcdCTDxsPeyNr17SGWtCo0+KumNGl3XEG6aHPlnDi+Ch6fEolEIpFIXpzUhEyunlvNzu4UXakidWFzVi3sLaoL86FrO/iLa+bxs/39PLqzm80nUuP2TRVtvruli+9u6WJFY4RbVjTymkV1BM1zOP9RVNxIB9rAM6CHQHlhza2EEJzMCrb0OmzpsdnS63AgMVqImcJnw9Xh6ErUtt24kVFZ8gr0VR3AqC2xtrZ9RJxUFYUa3ceRfBYFhXZfaELhMldyyFk2zRE/bfEApqYNn/tMXrHkfJK3LTKuQ80s+eOUHEHedilYguRw3SHLOS0OmZpC0FBmpR1NVXoXrd2PArBRa+HHhlccelW8jXpzevacO7pddvR4/zbXLbCorfZmF+XsInEzREifXuS14wqEC81R/7T2k0gkktmEEALrDNu4nG2PZAnlHRv7jPucNiwIGYpCzDTRldl3X5kQ1ya29R9R3JKnObn6LsQkNYbGY7BU5O8P7PC0BVSNjy1ahWKl0aJzUbXK9xhXCDqHcgR1bdw5oiNcLNemPVRDd7rIY7t7PdtvW91Eld+oOH7BFrTFXhzuARLJuUYKRtPk/x3cRNG1PW33rHwV6axKVWByu41M0eGbv/GmUIZMld/bUIVf05kTqp1SFHB/psT86hC1IZlaKZFIJBKJZCx+Q2NtS4yaYJ5dvWkChkp0goeqi4Hf0LhhWQM3LGugczDHIzu6eWx3D4m8PW7/Hd1pdnSnue+Xh7hucR03r2hkWUP4nGRQCTOGG2hDzXch/LVnPd7FxHEFBxMum0cJRD25mS3u1wYFi2thUU35/6bIEr7Tc5CfJbzZ9g/3HyVlW7ytccGIxYqmKNQYPo7kMygotPmCY/5WjitI5i18usrKxiixgCxKPJv5TU8nb3rym/QWMjQMdfGK2iZeXtPAikjsgljr2M6wrZztki5CquhQHBVubKoKPk0hbM7+RTzVKQxb0QkcFP4u8FLP9rBmcEPNvGmN6QrBQ9u9WXlVPsH1y0Ke7CKAgmuxIFA/7fNOyohtiURyiWCdyg4ato0rjLKMy9k2lnBPB6Yo5WAXU1HRVZWobk6pTMSlROjgdzGS+z1t2bm3UKpZXWGPyggh+PsDO0hYXvHpL+cvpdXUcW0dPTjxPaY/UyRZsKgLj7+umSzlaQ3ECes+vvTcgbLF3DA+XeUP1rVUHDtbson6NeKB2fXsI5FcKshZ3jRpCnptSt4yby2tZhODVnEkEnIi/t/GfpJ5r/XKmzdU4zNdFkUaMKbgH50u2ARNjYV158eWRSKRSCQSyQsDVVWYWxOkKqCztStFT7qcbXSxPNMnYm51kPe/bD7vu3ouvzw0wCM7unnmaGLcvjnL4eEd3Ty8o5uFtSFuWdnI6xbXE6lQLHequJG5qIWT4JZAvXSEi4It2NnvlAWiXpttvQ4Za/rjKMC8mEJr3GJhjWB1vUbNmOQGhbc3LqBKN/jv/qOeLT9LnCTtWPxJ82KM4UUWTVGIGyad+TQq0Oo/PX/NFm3ylkNbPEBrVeAFtzDzQuQz235G73Ad155Ske92dfLdrk5qDB8vq2ngFTUNrK6Kn5Ooa8cti0MFW5AplesOFWyBoFx76JQ4FDQUmIXXtMmYf+zbBIrdADxsLGGX5l1Yu7l2PkFtete0p48Ijp+RrHnL4hKhiDe7qOjYBFSTKmN6kddCCIq2S3tcRmxLJJKLj+26WK6gJMrCUNFxRgShjG1REgJGGXSqKOjDlnFB3cBQlFlh23wh0BP7CB/4D0+bHWojvfhtMxrv0e5j/GbIGwz/0up6bqhvwS0MoFfNR9Eqz6Utx6VzKE9Vhbl7ybXRVYWmQJz+bIn/2dnt2X7LikaqK9jYAaQLDqubI6izwHpWIrkUkYLRNHl7x+XsHurhscPbuaxpLn8w9wr29GUr+m2OZsuxLE8fTHvaVrcGWdqmMj9cR8SYPK3fdgWZos3V86pnlbWMRCKRSCSS2Us8aHLV3Dh7ejIcHcpTEzbx6bNzHmHqKq9ZVMdrFtVxIlngf3Z28z87e+jPlsbtv78/y//9+UG+8NRhXr2wlltWNLK6OTqzBQAtULamS+7BDTSc5Ss5fwwVXLb2nhKIHHYPONgzKPXj02BFrcaaeo01DTqr6jQipkLWsdmXS5JxiggxtgaWoijcWjeHqG7wre6Dnlopz6T7yRyzeH/rspHFbl1RiRsmhwppVEWhQfeTKNiETI3VzVWzLvNNUpmoOf7zyoBV5OHuozzcfZQq3eCa6npeUdPI+lgN5hSEQNct1x3KW4KsJUgWXLJ22VYOAboCpq5Q5VNQLjULoHGIJbfR2vMYAFkM/tF/tWd7sxniZbHKdRnGo2gLHt7pvRC0RFyuWRgZk12UtQvMC9ehTfO9zBQd4gFTRmxLJJKLStIqsqmYp3OgBzFqjqKMEoQCuk5UUWdlkNQFxymWrehG1YUUikpi9QdhAsu4ShzNZfhi5x5PW7Vh8qGOFeAWUTQf2iTZRSdTBSzHJeIffy01VSrQEanHp+l8edMhSs7p2aauKvzR+tZx94OyGKWrCvVhaZ0qkcwUKRhNE79ucN8VN/FqUY3TVE3nYIGIqU+6KJEtOjz4tNdvM2iq3HpFmAZ/lEZ/1ZSO358psrAuNKGSLpFIJBKJRHImPl1jVXOUeMBgR08an64Sm+WLfi1Vfv7k6rm858o5PH14kEd2dPObzkFPwdtTFG2Xx3b38tjuXubGA9y8opEbltYTn+acyQ00o2aPgZ0t1zO6yAghOJ4WbOktW8tt7nXoTM5AHQJiPqUsDtVrrGnQWFqtYWhj57AhTWdFKM6hfJoeK09cH9+n/9XxZqKawf1dez0+/7tySf7u6HbubltOlV5+/3VFJa6bbE8lSOohrmiooSnqQ5NZRZcUn1x3PQeSfTw3cLxin6Rt8VjvCR7rPUFI07k6XscrahvYEKvDr2nDWSrl7KGsJUgWXdIlgRDlyuGqAj4doqbygowM1uwcSw59ceT3r/rW06d6rzW31y+ctpjzxH5BsuBt+72lJcxgm6fNES6KolBtTv/6linaXNYWe9FE5EskktlJyXXIuoIOw0SfZibmi5HI3m+iZ4952jIdb8GOLZr2WLbr8on92yi63rnoPQtXEjdM3Hw/enwhilr575KzbI4lKmcX5ewSIcOk3h8hkbf4/javDfKNyxpoiFQWuhJ5i7nVQcxZGhwnkVwKyCvrWdCVKmI7RkVFfDT/8Uw/QzmvFd1t62PUhkzmheqmFPWQLFhE/ToLai7+4oVEIpFIJJJLD0VRaK8OUhUw2HYySU+qSF1kdlrUjUZXFV6+oIaXL6ihJ13kB7t6eHRHNyfTxXH7dw7l+fxTh/nS0528YkENt6xs5PK2KdZYUXWc6CK0wecRWvCCW13ZrmDfkDtSe2hLr0N/fmb1h1ojCmvr9RGBaG508nqbpzBUlYXBKKGizqF8mohu4B/HOvmKaB0hzeCfju+i4J6e63YWMnyicysfbl9JvekfzpJ3qDN9iKCD4nOlWHQJMj9Sw9Ov/zM++8MvsVNz2ZhK0pnPVOyfdWx+0n+Sn/SfxFRUVoRqWBaoY7G/Gr+qoyjg0xQipvKi+TwsOPog/lI5kLBLCfN13zrP9hWhGlaEa6Y1ZiIv+NFe7+Ld8jqHle1VY7KLMnaROjOCX5tewEDBdggYGrUhGbgokUguPipl21vJxJgDWwl1Pupps6oWkl1wx4zGe/DYQfZkvN6ntza2c1W8DmHnUfQAWmDie9jxRAFNVdDGcU0SQpB3SiyvakZTVP5j81EKo9LoNQXeennl7CIhBI4raI7K7CKJ5GyQgtEMSZVcet0i82NjjN3HsO14ll/t91rRrWgJsHqezqJIA74pRETYjku+5LJuXjW6tKKTSCQSiURyFlQFDK6cU82+3gyHhnJUBw38+uR1FGcDDREf79rQzjuuaOOZowke2dHNLw8OYI+TdmS7gp/u7+en+/tpjvq5eUUDNy5rqFhc9xTCV4vw16NYCYQZP18vBYC8JdjeXxaGtvTYbOtzyNnTH0dVYHG1ypp6nbX1GqvrNeqCZzdnVBWFVn+IkKazJ5ek6DojGUOjWR6K8ZH2VfzfYztIOaeLJ/VYBT7euYU/b1xKkxmkNRagJmhSEi5bUwkUFJoDk8+lJbMLRVFoN3ysa6jlzzpWciSX4ZcDPfxyoIe92VTF/UrC5flMH89n+tAVhaXBatZH6lkTqUNTZ3e247miOvE8zX0/Hvn9c/6rKSqnnwVVFG6v75j2uI/scimOik1UgNuWFNGDc8b0tRybhmh0TPtkJPM2S+rD8llUIpFILhE0J09s+z972oRqklj9VzBBBlAltqeG+M7xg562OYEQ75u7GADXymBUL0FRKo+dKlj0ZArUVHAASNsFanwhYkaQdMHmu1u6PNuvW1JPa1XlOnqpok192CftjiWSs0QKRjMkbwsUY3KbhHzJ5YGnvYXg/IbCGy8LMSdUS8yc2kNyX8ZiSUN41lvHSCQSiUQiuTQwNJVljRHiQYNtJ1PkVWfa9m0XE1VRuHJOnCvnxBnMlXhsdy+P7Ojm6FB+3P5dqQJf/s0RvvrbI7xkXjW3rGjkqrnV6OPN5RQFJ9KB0b8R4TqUl1/PDQN5dyRzaEuPzZ5BF2cGCUR+HVbVle3l1tbrrKjTCBnnJ9I2bvhYE65mby5Fv1WgWveNydaaFwjzsbmr+YejO+izTvtiJR2Lfzy5k08vXkNtKAaAT9GIGyZbUoMoCjT5pWh0KWIJQaboEhQBrgnPYaXRyolCjh25frbn+jhSrCwe2UKwPTvA9uwAavceFgVjrI/UszZSR0yffj2FSwHdzrD40L+M/L5Va+B/zCWePi+PNdPsC09r3ONJwa87vReRl7TbtDfEUXRvhHXOLhExAkT06UVe264of1dlxLZEIpFcMszteQit0O9pSy95B064rcIelcnZNp/Yt43RuayaovCxRavKdrNWDtWIoPkrZxe5QtA5mMOva+NmvDvCxXId2oI1KIrCQ9u6yJZOR0MowNsvn/jcc0WHFQ3TD4qQSCRepGB0nvnPZ/sZzHrDRG9eV8W8eITW4NQiVhN5i3jQYF61fJiWSCQSiURy7lAUheaqABFfWTTqThWoC/vQLrG6IdVBkz9a38ofrmth84kUj+zo5sn9/RSdsbV+HAG/OjTIrw4NUh82uXF5Azcta6S56oyFUCOCE5qDmj0KxvTsoU4hhOBoymXzKYGo1+Foamb1h6r9p+sPrW3QWVStYlzAv1NA01keitFZSNNVLNc1Ms6wEGs0A3xszmr+77EdHC1mR9rzrsP/2bOZv128mpfVNADg0zTi+NiSHEJVFBp8laNFJbOPrpzK4V6HkFkCyraRPk2hIxyiIxLmFuaSsIpszvSxKd3LvlwCl/GVURfBntwQe3JD/HvPXhYEqlgXqWdduI5a84Xzueg48nV81gAAAvi0/6We7QFV56ba+dMe96Ht3nfW1ODmhSX04NwxffNOiUWRhmnXIErkLdqq/ASMSyMTVSKRSF7s+Hp+S3Xyd562Ys1qcnNunNF4/3x4NyeL3qCsd7d3sDhcrsfu2ll8NctRJqi/N5AtkihYFTP9k6U8rYEYYd1HruTw78+f8Gx/1cLaCddFC5ZD0NSokdapEslZIwWj88iurhw/3+uNrFvS6OclHQE6IvVTKmRqOS4l2+Xyttglt3gjkUgkEonk0iDi19nQHmN/f5YDA1niAeOSXBhUFIV1rVWsa63ir14xnx/uKWcdHejPjdu/N1PiG787xgO/O8aG9hi3rGzkZfNrMIYtl9zQHNR8FziFcfc/E8sV7B1w2dJrj4hEQ4WZ1R+aE1VHCUQabZGp1x86XxiqSkcgSkgzOJhPExQawTOslYOKzp81LOWB/v3sySVH2kvC5aN7NnP3guXc2FiODvVpGlWYbE4Msj5WQ51PZi/MdoQQ5DufoCPxBKIUxxdupGTEKBlVWFoMm9O1VmOGj2vjrVwbbyVtl9ia6WdTupdd2UGcCuKRAA7kkxzIJ/le737afRHWR+pZH6mj0Xfp1nGtGfodjf0/H/n9cWMhz+vNnj5vqJlLZBzLx4nY0eOyo8f7Xl7fYVETH5tdZLkOuqJSbU7vfRRCYDuCtilYsUskEonk4qMWE1Tt/JKnzdWDJFd9AKawDnkmv+jv5vFer3izKhrn91vKQQ6ilEEzYyi+WMUxLMfl8GCeqH/8ZeiSa6OrCk2BcmD9wztOkix4g+8nyy5K5m2WNUTk2qlEcg6QgtF5omC5fP3XvZ42n67wpivCLIw0ENCm9jDQlymxvDEi/TclEolEIpGcV3RNZWlDhOqgybauJLmSc0lH6EX9BnesaeH21c3s6snw8I5ufry3l7w1NsNHABuPJth4NEE8YHDDsnpuXt7I3OogTmQRytC2cY+RKQm29zkjAtGOPoeCM27XCdEVWFJTrj90SiSqDszOOiGKotDsCxLUdPZmkyTsEjHdxBWCdNFGU1VW1FXxpebL+dt923hq8PR82AX+4eBOhqwSf9Q6H0VRyjYmGDyfHGR9rJpaU4pGs5nUln9h8JcfZC3AOI5zrqKXxSMjNiwkxSjpMSwjxgKjijdEYyTjc3m2BM/kMuzIDlASlbPujhbTHC2mebj/IM1miHWROtZH6mn1hS+6gDpVdCvF4sP3j/xeROMf/Nd4+tQZAV4Zn55FkCsED233vndVfnjt3BJasG5M/4xdoCUQQ1enFwyQKtrUhkyqpDW6RCKRzG6EwBzYSnjft9FKSc+m1LI/wQ3UT3vI/mKBzx7c6WkLahr3LlyJpiggBK6dxxfvmDC7qCddxHIcIv7xs4tSpQILI/X4NJ2i7fKd5457tl8zr5rF9ZUtW21XoKjQEH1h2tpKJBcaKRidJ7733AD9Ga8afsOaMCvra6j1R6Y0xmCuRF3Ix5y4jOaSSCQSiURyYWiI+Lh6bjU7utOcTBapi5jj1/m5RFAUheWNEZY3RvjAy+bx4719PLKjm109mXH7D+Ut/m3TCf5t0wnWtkS5ZUUDr4pG0ZwB+nIuWwcctvSURaJ9Qy7uDBKIgjqsGq49tKZeY0WtRuA81R86X8R0k1XhOPvzaU7kcvjRaQj7aIz40LXygvQnl6zhHw/u4n97vA/9Xz26n0GrxF/MW4KqKAQ0HQE8nxhgfayWGlM+7M9Wcgf/d8LtqrDxlwbwlwYm7PdyQKCSMGr4ldnBj7U5PKXUkKOymNFVytI1kOUHA53UGYER8WiePzqrxaNFnV/BtBIjvz/gW0uX6n0evK2+Y4zF42T85ojguHc9kFsWWwQjNWOyi1whcIWg1je159DRyHoQEolEMstxigS6fkGw81GMdOeYzYWGqym0vHLaw7pC8HcHtpOyLU/7XfOXjdSfdK0MWqAaxayqOE7esjmayFUMhM/ZJcKGSd3wWun/7OxmIOc95juvmDioQlqnSiTnFikYnQf2dOf56W7v7L2j3uS1y2LMCU7NA79ku9iuYHmjTKeUSCQSiURyYQn5dC5ri3GwP8u+/ixRv4Zfm50ZL9MhZOq8cWUTb1zZxL6+DI/u6OaHe/pIF+1x+28+kWLziRSfM1WCShM9xfGt7SajNqCwtuG0QNQRVy9pEe4UpqLRRADVAOF3qYv4PNkLuqLyoQXLiRsm3z5+yLPvf508wpBV5KMLV2GoKkFNRwjYlBjg8ngtcePSzW57IeNvuZrC8V+ck7EUXOJWHzdbfdzMbymi8Ru9jSeMBfxMn8+QWrl+UZ+V54nBozwxeJRaVbDBZ3JZOMb8UAOOGcdVZ8fnp27waeoHfz3ye58S5Mv+DZ4+iwIx1oXHZgRNRNEWPLzTm13UEoWrW0powdox/XN2kbgZIqRPT4zNWw4hn6wHIZFIJLMRtTBA8MgPCB77IWppnLRfwDFjJFf8OcwgsOK/Tx7lmYQ3AOTamkauqxu2VBUuwimiVy+eMHDjeKKAQtnN4EyEEOTsIitiLWiKiu24fPuM7KLL22KsbKocuCCEwHJcWqpeOHUPJZKLjRSMzjFF2+XrT3mt6ExN4c1XVrE40jglCwAhBP3ZEquaokQq+HtKJBKJRCKRnE80VWFRfZh40GBrV4pMoYgQM6vHMxtZVBfm7ms7+POXzuPJ/f08sqObzSfGf9hOl1zSTN2OaX6VypqG4fpD9TrNYWVWZ0DMhGzRJm85tMWCXBmtps8qsCOdxK+5RPTT75WiKPzxnEVUGz7++fBuzxg/6+8mbVt8aslagppOSNcRCJ5L9HN5rJaYFI1mHbHL70ENNrPlt18jqOQIuWkMK4nu5iffeRJ8OFxrd3Kt3YnNkzyjtfCE0cFPjPn0qpVtaPpdhcfyFo/l+6jpOcJrrIO8yj3OOjUHevS0NZ4RwzKqRv1crr3kqIEZLaRNht9JsajzK562fwy81JNFpQB3NCyc9vXhx/sFiTNKq/3e0iJGcGx2EUDBtVgwAyuiVMFieUNUBjBKJBLJLEJP7CPU+Qj+k0+hiMpeyJYWJrn2rxG+ytk/lTiUS3P/kb2etlrTx90Llo3cs9xSCi1Qi2pWFnNSBYvuTJGa4Pjz6JRdoM4fIWaUM5Ye39NLd7ro6fOuSbKLsiWHeMAkJq1TJZJzhlQjzjH/tWmA3rQ3dfJ1q0NsaGoibEzNk30wZ9EU8dEWk+q4RCKRSCSSi0td2MdL5lWz7USCvXmX+Y6L9gLINjqFX9d4/dIGXr+0gc7BHI/u7OYHu3pI5MfPOjoTXVVYVudjbYPBmlqbNfEccT1PWVoToGgI2weaCYpxXhamLySO45Io2IRMjdXNVSP2Ii16iKBusDU5SH+xQI3p8yyC39Y8hyrD4NP7t2OPEh6fSQzwlzue5bPL1hM3TMK6gbDhucQAl8dqiGjSWmQ2oeg+wivexS/3gT8WpS5cXoRSnSKmncCwEphWAtNKjvp51O92EsNOT3ocHcHVznGudo7zN4VfsFlr4gljAU8YHZxQKy9MDahB/tO3kv9kJVFR4FXWYa4rHOAa+xn8jL+o5qhmWUDSzxSTxopMthae2ndYCC4f+g/Pa92t1vJ9Y7Gn21VVTczxT8/uLVkQ/HCvN7toeT0sr7XHzS4qOjZ+1aDKmN6zpe24qIpCo6wHIZFIJBcf18Hf8zTBw49iJnZP2NUOtZBtv5G97kLa4ouY7syz5Lp8ct82Sq73XvORhSuJngrmcR2EsNEjrZVPWQg6h3L4dHXcwAhHuNiuQ2uwGkVRcFzBN5895umzujnKutaJBa900WZ9a+wFF5wlkVxMpGB0Dtnfk+fHO71WdHNrDW5d1UDDFB8ECraDEIKlDRFUGcklkUgkEolkFhAwNNa1VNHdqTOYKxF0xAsyim9udZC/fOl83nf1XH55cIBHdnTzu6MJT5+wqbG6Ocrq5irWtERZ2hDGr3tFDcspojgFcAsoVhZKSVQ7heJao4QkHaH5QDVBvTTey3TRxrJd5sSDNEd9aGfUXIkbJlfG69iZTtBdzFPn86OPKoD8mrpmqnSTj+zZTN49vXi/O5Pkfds28k/LL6fRHyCiG6Rsi03JAdZF4xfs9Ulmjqv5KGgNFHwNk/ZVXAvDTo2ISYaVHCUsJUaEpfLPKVRc1jsnWe+c5J7Cr9mp1vGE0cETxgIOadUVj5NS/DxsLuVhcylBUeIVVifX2Qd5udVJmNMBfppbIlDsJVDsrTjWyOtU9GFhqWqMsFQyqkZ+j6b30FbYOrKfAD4euYHROZo+RePW2gWTHvNMHt3lUhylfSnAbUsLaIHxs4uydoF54Tq0CYqRj8dQ3mJOPIhPl6KtRCKRXCyUUprgsR8RPPK/aIX+CfsWa9eRnXszpbr1CCFwjxyd0TG/fnQ/+7Pe4I47mudweex0UIJrpdECjahG5QzgwWyRRN6iLjx+4EGylKc1ECc8bJf60319HDsjffadV7RNKAQVbRdTU6mV1qkSyTlFCkbniJLt8vVf93oeAnQV3vaSajqi9VNSuoUQDGYt1rZECfnkn0YikUgkEsnsQVUVWiMG8+ZWs7svx8lUgbqw7wVRi+dMDE3l1YvqePWiOk4kCzxzZIiT3d28anUHC+vDqJPN6zRfWQyiCjG8fusKAe6wkOQUUew0SilZ/t+1y3NIAWg6QjVB9YE6O+aDluOSzFtUBQyW1UcITzBP9Wsaa6riHMjqHMymiRs+fKOyhK6I1/KFFVdw967nSIwqonyskOO92zdy37LLmB+KENUNUlaJTYkB4mdEuEoubYRqUDJrKJlTqO0qHAw77RGX/FaC37MSvKXUxQm7k186IX6u1LFXrSwe5RSTx81FPG4uwhQ2L7WPcr11gFdah6miWHG/M1GFjc8awGcNTN55FD/2Lec5vBHS19fMIWZML3vnRErwq8Nea9CXzIHWsIMWHFsHyREuiqJQbYamdRxXCFwXWmU9CIlEIrkoaOmjhDofJXDiSRS38n1KqD7yLa8kN/cm7MicURsqW9VNxObkIP9x4rCnbX4wzB/PWXS6wbURwkEPN1ccx3ZdDg/liVSYM5ZcG11VaA7GykMKwYNnZBctrQ9z1ZyJA4eSBYuOmhDGC8j9QCKZDcyOp9AXAA9vHuRk0mtFd/2qMNe0tGJO8WF/IFuiOeqThdokEolEIpHMWqoCBhvaYxwcyHKgP0fYp00oIFzqtFT5uWl5A/uMBB21ocnFokooCmh+hFZWkATDmRhClDORnAI4BRQrjWKlUKwkinAQp4xEVGOUkHRhIv6FEKQKNo4QLKgJ0xj1Ten1a4rK4nAVEc1gR3qIoqudtjABlkaquH/lBu7a9RzdxdORpP2lIu/b/js+u2w9q6JxooZJophnt1VknevKB5cXI4qGNZzJk63Q5bLhfz3FLFtTJ9iU7uNgqVChN5QUnZ8Z8/mZMR9dOFxpH+d66wCvtg9RK86+FtOY46Hy6dCrwTkt9MR1H6+tbp/2WA9tdz0BiqYGNy/MD2cXjRWfMnaROjOCX5teFmOqYNMQMWU9XYlEIrmQCBezbxOhzkfx9T8/YVfHX0tuzhvItV2PmKCG0HRI2xaf2r/Nc58xFIWPLVqNb9Tc07VS6KEm1OG6Q+PRky5StB3CofEDI1KlPAsjDSPrpb86OMDBgZynzzsmyS5yhUAIaI5OrfyHRCKZOnIGeA442Ffg8R0JT1tbtc7bL2snZla+gI6mYDmoisKyxqj03ZRIJBKJRDKr0TWVxfURakM+tp1M0pMuUhc2Zy6mvJhRFNACCK0cMCQCTeV24ZYFpBEhKTX8LzEqalQB1SwLSZoJyrkTkkqOQzJvUxs0mVsTJGhM/7GhORAkpOtsTQ3RV8xTa/pH5rntwTBfXnklH9z1HIdymZF9Mo7N+3c+yycXr+El1fVUGSaHXIEjZJaRZGIafCFeW7eI19YtYtAq8Hy6j+fTvezPJxAV9rEVjV8bc/i1MYeP8UqWqxavUBK8Spyk1e4bqb+kO5Xkqsn5SvwWuhzvGdxat8Cz+DYVdvW4bO/2jnPdQoj53XGziwAsx6Y+Ov2FxLzlsLr53CxASiQSiWRiFDuP/8TPCHX+D3r2+IR9S7El5ObeTKHxJec8E/2fDu2ip+gNuPjjOYvoCEVONzg2CNBClbOLCpbNkaHcSJ3LM8naRcKGjzp/eVwhBA88480uml8T5OULJs5ETuYtGiM+6dAkkZwH5LfqLLEcwdef6mVU7V50Fe58aSOtoal5rrtCMJizWN9aRcCQHtESiUQikUguDWpCJi+ZW8O+vjSHB/PEAgZBU85lzgmKCnoQoZeDjwTDD+bCGRGSFDsPdgq1lIJSAoSDIkAoKmgmQjXKGUnTqF0ihCCZt1BQWFIXpjY8tayiSlQZJhtitezKJOgq5Kkz/ejDtY/qfH7+ZeUGPrxrE9vTiZF9Sq7LX+/ezIc7lvO6uqYZH1vy4qXa8PPq6jZeXd1G0i6yJdPP8+le9mSHcCrIRy4K212T7dTzReqZF4yyLlLP+kgdjbo+UmvJU3PJ9v5uWAkMO40yfIyj4RV8nTnAaWuguf4oG6KN03o9rhB8b7tXNI364Lp5eTT/+NlFebtExPATHaeu0URkSzZRv051QNaDkEgkkvOJmu8h1PkDAsd+hGpXDkwQikah8Rpy827Gii05L+fyk74uftx30tO2rqqaO5rnetocK4keaUOd4N5yIlkWncaziRNCkLdLrIi1jNTW23gkwe7ejKffOy5vm3T+WbBd2uPSoUkiOR9IwegseXTLICcSJU/b9asivLy9dcqFRQeyFu2xAE0yjVIikUgkEsklhqmrrGiqoi7sZ1tXkmzJpjZkyozp84WigR5C6CHE8BqxC+DaI9Z2ip2DUhLVzkBpEISLAghOCUk+UI0xQlLBckiXbBrCfubE/PhnkFU0Hj5NY3W0moiWZl82RZVhEtDKY0d1g39afjkf27uF3wz1jezjIPi7AzsYKhVZek7OQvJipUr38fJYCy+PtZB1LLYOi0c7soPYE2SuHS6kOFxI8f2+A7T6wqyP1LEu0kRzqGPC65siHIxSgp6ebn5kamQTJzzb76hfOG0R9rdHBceS3rZbloFPq5xdlHWKLI40TvtanC44rG6OoL4A69NJJBLJRUcIjKFdhDofwdf9WxQq34dcI0qu/XXk5tyA6689b6fUXczzjwd3edrCms5HFq703q8cC0XR0IINFcdKF226UgWqg+MHHaTsAnX+CLFhOzshBN945qinT1vMz6sXjX9vO0Wu5BDxyeAGieR8IQWjs+BkwuYH27wz95a4znuvWDBln+hcyUFXFRbXh+XCikQikUgkkkuWhoiPa+bXsKc3w/FEnuqQgV+X2UYXDFUHNYzQw2UhKXRKSLLAKaI4+bKQZCVRrTRYqfJ+QuAqKsmSgqoHWFZXRU3Id87npaqi0BGOEjEMtqaGKLouseG6Rn5N4++WruWzB3byeK93cf3LR/fzSn+At4lKpmISydQJaQZXVzVxdVUTBddme2aATeletmcGKE5QIPx4McPxYoZH+w/TaAZZF6ljXaSeOb7ImO+KUDRKZpxjSpJfJDo92y6L1LNwuMD3VCnagod3ehcUm6PwkuY8WqB23Owi23UwFI24GZrWsUq2i6Ep1IdlIKNEIpGcUxwLf/evCB1+FCN1YMKuVngOuXk3k2++FrTxawCdK1wh+Lv928k4tqf97gXLafB5s3fK2UVzUSuckxCCI4M5fIY2btCBI1xs16EtWD1y73z+RJKtXSlPv7df3oY+SdBCqmCxqikqgxskkvOEFIxmiO0KHt2UwR317Koq8P5XtNIQjFTecRSuECTyFle0x/FLKzqJRCKRSCSXOAFDY01zlLqQwc7uNFnFoSYkI/8uKqoBqoEwwiNGXGUhqYTiFMjms2RzKdqqCrSGbAySuHkQCBRFR9F8KFo5I+lciEgNvgBXxXW2pYboKeSp95XrGumKyj0dK4gZJv9+4rBnnycLef5228/43JVvPOvjSySn8Ks6l0cbuDzaQMl12JUdZFO6l62ZfnKuXXG/7lKOxweO8PjAEWp0/4h4tCBQ5YnEfqLQ57G/0xWV2+o6pn2eP94vGMp7225fAariogXGjzhP2wWa/TGMadZJShQsFlSHMPWp21hKJBKJpDJqMUHg6OMEjzyGVhqq2E+gUKy/gtzcmynVrC7XuLwAfLerk+eTg5626+qaedWZlsBOEUUx0EOVs4uG8haD+RK1Feb+yVKe1kCc0KhAhwfPqF3UEPHxuiX1E56z7bhoqkJ95PyKaRLJixkpGM2QHx6y6El5o9BuWFXFNW0tUx6jL1NibnWA+rBcSJFIJJLp8Nxzz/H5z3+eAwcOoKoqV155JXfffTeNjVOrCXDw4EHuv/9+Nm/eTD6fJxKJcPXVV/O+972P+vqxE9SnnnqKr3/96xw6dAjHcaipqeGmm27irW99Kz6fnKhKJKNRFIXWWJBYwGRXT5qTyQK1YXNcH3PJxcPGYCAvCJgB1rfPpy7sQwgBTgnXziOcAm4pg1scQpRSCKc0XLNToKjGiJCkTDGrfjQR3eDyWA170imOF7LUmH4MVUVRFN43dzHVhsm/dO717PPFPb/lb9e/nrAhr7mSc4+paqyJ1LEmUoctXPZkh3g+08vmdB9px6q434Bd4CdDx/jJ0DGqNJO1kTrWR+pxhMNex1uP4TXxNmrN6dVaSBYEP9zrzS5aVq+wvDpbMbvIFQJXiJFi4lPFcQUIaKmS2UUSiURytuipgwQPP0rg5C9QJghCcLUA+dbXkJt7I05o6uuJ54L92RRfPbLP09bg8/OB+WPNgN1SGj22AEUdf97nuC6HBrKEffq4AUYl10ZXVZpHZdnuOJnid0cTnn5vvax10meGRN5iTiyITzoZSCTnDSkYzYBtJ1M8dtD74NAc0/mLqxeOFPGdjEzRxq+rLKqTVnQSiUQyHTZu3Mi73vUu3vWud/Hggw+Sy+W46667uP322/n+979PXd3Efsd79+7ljjvuoL29nW9961u0tbWxZ88e7rzzTn7605/y6KOPUlNTM9L/v/7rv/jIRz7CG97wBr70pS8RCoV44oknuOuuu/jNb37DAw88IK/jEsk4hH06l7XG6BzKsbc3g6mrxALTFxck555UwSJbdFhQG2JBzelsAkVRQPehnVqEHnazEkIgnCLCziPs/LCQlECUUjjF03NiRdFRdH9ZSFInfswwVY0V0RgRQ2d3OklUNwnq5X3e3DKPmGHymQM7cIat6PyaTlCXnx/J+UdXVFaEa1gRruEPG5awP5/g+XQvz6f7GLKLFfdLOiV+kTjBL86oWQQQ0QxeXzN32ufy6C6X4qgYRQW4fYUABFpw/OyinF0kboY8EdxTIVmwaIr6CfnkEoFEIpHMCOHg6/kdoc5HMQe3T9jVDjSSm3sj+dbXIozp2YeeC4quwyf2bcMaZfmrAB9duIrwGfMt4RRQND9aoPJzdk+6RMF2KzoLpEp5FkYaMEfNDx941ptdVBM0uGl55QwmKM9JbRdaYjK4QSI5n8jZ4DSxHJd3P7RtjBXdh145l5hvahFjjitIF202tMelIi6RSCTTwLZt7r33Xtrb23n/+9+PqqpEo1E+/elPc+2113Lffffxmc98ZsIxvv3tb5PP57nrrrtoa2sDYMmSJbznPe/hk5/8JA899BDvfe97R/p/5StfQdM0Pv7xjxMOhwG4/vrrefzxx3niiSfYvHkz69atO38vWiK5hFFVhfk1IWqCJju605xMFagL+yb1JZecH2zHpT9rEfVrXD2vumJB4jNRFAVF94PuB+Ij7WUhqTBKSErjFhJlMcm1R+xUFNVE0cwxQpKqKMwLRghrw3WNSg5xs7zIfX19C3Wmn68e2Ucyn+FfXnI7qiKz1CQXFlVRWByMszgY5476RXQWUjyf7mNTupc+Kz/5AMO8sW4BAW16j95dKcGvDntrd109R6E1lEX115atIseh4FosCExs5zMeRdulPT69DCiJRCKRgGJlCRz/McHO/0XPd0/Yt1i9itzcmyg2bADl4q0HfqVzH4dz3kzY32+Zx9qq6jF93VIGI76wYjBQ0XY4MpQl6h9/e9YuEjZ8nszXfX0ZnjrktcL7w/Wtk9Y/TRVtakMmUb8MIpJIzidSMJomD23tYvMJb0G2G1dWc3Xb1GyQAPozJeZXh6gLS0sNiUQimQ6/+93vOHr0KO9973tRR2V0NjQ0sGbNGh577DE++tGPEgpVjtLq6ekBGBGLTnHq95MnT47pH4vFRsSiM/t3d0/8UCCRSKAqYLChPcahgRz7+jJE/DphGcV+QUnkLYq2y+L6MHPjAfRzYBFYFpICoHsXmYVwEfYoIamYwikOC0minC6hoIBmoqgmtYaPq+J1bEsN0lPMU2f6URWF9bEa/jV6BZv3beZVTQvO+nwlkrNBVRTmB6qYH6jiTXULOF7MjIhHXaVsxf1afGGuqWqe9vEe2u4yWi4yNXjjMgGicnZR0bHxqwZVxvSEn0zRJh4wicssUIlEIpkyWvYEwc7/JXD8J6hO5SACoerkm68lN/cm7OjFn888m+jneyePeNoWhiK8u33hmL7CzqPqgYo18wBOJAsIlHGt5IQQ5O0SK2OtaKMCf86sXVTl17l1ZdOZu48hV3JZ3hCctJ9EIjk75JP6NNna5RWLmqp03n/NwinbEWWKNkFTo6P2wqecSiQSyaXOM888A8DixYvHbFuyZAmbNm1i69atXH311RXHWLRoEU899RSHDx9mwYLTE/bOzk4AT9up/jt37iSZTFJVVTWm//z582f6ciSSFxW6prKoPkxNyGT7yRQ96SK1IRNNZhudV0q2S3+2XID4stYYVRdgQVhRVBQjCMbwA/1wQKlwnZGMJNfK4RaTuKUkbnEQv3BZazrsdQocTWeoDYTw6dJuRDI7URSFNn+ENn+Em+vm013Msindx/OZXo4U0qf7AW+pX4Q6TevaXb0u27q92UXXLVSI6RNnF+WcAnOCdZ5FuamQKdqsa41Ji12JRCKZDCEwB7YS7HwEX++zKIiKXR1fnFz7DeTbX4fri1fsdyFJWSU+vd9rl2eqKh9btBpjnBIbrpXFrF6CUiEbKlO06UrliQcqWNHZBer8EU8gQ+dgjp/t7/f0e8vaFoLmxNlFBcshaKjUVrC9k0gk5w4pGE2TO9Y086WnO8lZDn5D4WOvXUjYnNrFynYFmaLDlXPiI17xEolEIpk6hw8fBqC+fqzVyqm2zs7OCQWj97znPTz99NPcd999tLe309HRwdatW/na177GypUruf322z39P/rRj3LnnXdy77338rd/+7eEw2Eef/xxnnzySf7wD/+QJUuWnMNXKJG88KkJmVw9t5r9fRkODeaIBYxJHxAl00cIwWDOwhGClY1R2uKBiy7OKaqGoobACKGNSoAQro2wC/jsPGtKWeKJE+wY6iJkZQkIBaHIRxbJ7KbRF+IGX4gbaufSX8qzOd1LZ6KfaxrmsiQ0vUVCVwi+t831tEV9cN3CibOLXOECCjW+6QUmFmwHn65RJxfgJBKJpDJOkUDXzwkefhQjc2TCrla0g+y8myk0vgy02ZO5KYTgswd30l/y1uN735zFzAuGx/a3sqhmGNU/1qbu1HhHh3KYmoo6zhzTdl0c16EtWO0JSPjms8c8MlvI1Lh99eSZuMmCzZL68EWfz0okLwZm9PT13HPP8fnPf54DBw6gqipXXnkld999N42NU7NlO3jwIPfffz+bN28mn88TiUS4+uqred/73jfuIuBTTz3F17/+dQ4dOoTjONTU1HDTTTfx1re+FZ/vwtq6rWuNsfkDL+Wff7yR9vYGLmupnJZ5Jv2ZIgtqQxWLwEkkEolkYjKZss+y3z826vxUWzqdHrNtNPF4nG9+85t86lOf4sYbb8QwDBzH4bbbbuOee+4ZM/aaNWv49re/zUc/+lGuuuoqDMPANE0+/OEP8/a3v/2sXo/jODiOM3nHcfYb/b/k0uBS/7udy/PXFFhSHyIe0NnRnSZVKFEbNGdtdLvrOp7/ZzsF22EoZ9EY8bGkPly2/xMus/ejp4AWAC2A5qtmfqSNWH2O5/uOkLRyuH5w0c7qeimRXChqzQCvqW6jq6DTPE2xCGDjUcGxpLftlmUqfjKogcrZRWm7SJ0ZwT/NxclkvrwAdy5sKiUSieSFhlroJ3jkMYJHf4hqpSr2E6gUG68mO/dmrPiykTqOs4kf9XXxi4EeT9sVsVpubWof21kIXDuHr2Y5SoWs1aG8RX++PIcfj7SdoyUQJ6Sfvm+dSBb40Z5eT7/bVzcTqVD/6BTOcCH5pqjMPpdILgTTFow2btzIu971Lt71rnfx4IMPksvluOuuu7j99tv5/ve/T11d3YT77927lzvuuIP29na+9a1v0dbWxp49e7jzzjv56U9/yqOPPkpNTc1I///6r//iIx/5CG94wxv40pe+RCgU4oknnuCuu+7iN7/5DQ888MAFX1yYXxPk+rYoSs3Er3U0qYJF1K+zoEZa0UkkEsnFZP/+/dx5553U1NTw2GOPMX/+fA4dOsQ999zDW97yFu6//35aWlpG+v/whz/knnvu4XWvex1f/vKXqaqqYuPGjXz4wx9my5YtfPazn8WcYqbpmezbt++sXsv27dsn7ySZdVzqf7dzff4hW9CZstiXc6jyqZja7HvAPsWBAwcu9ilMiBCCZNFFQWFelY5a1DgwMHvfz8kIuzb78wlUPcyOHTswVJmJJnlhU7QF/73Tm13UHIFr5rhgV84uArAcm/podFrHs12BosgFOIlEIjkTI7GX4OFH8Hf/GkVUDj5x9TC59uvIzXkDbqDhAp7h9Ogq5PinQ7s8bVW6wV93rBjXNlVYWTQzhlLBSs9xXToHc4QNfdw12aJjoykazcGYp/3bzx3DGZVe5NdV3rJ28uyiRN6itcpPwJBzQYnkQjAtwci2be69917a29t5//vfj6qqRKNRPv3pT3Pttddy33338ZnPfGbCMb797W+Tz+e56667RgqGL1myhPe85z188pOf5KGHHuK9733vSP+vfOUraJrGxz/+8ZGC49dffz2PP/44TzzxBJs3b2bdunXTfd0XFNtxyZUcrp5bPW4ROIlEIpFMjVP3gUKhMGbbqbZIJDLhGPfeey8n/z97dx4mRXXvj/9dS+/bTM++MiwyowJCRLaAXhMlUeLVGMWYTa/KNRG/UfQHXgKaBJfvjRoSjOGa69eLSG4SImYxAaNxSwwKKAISFxQFhmUWhll6eu+qOr8/hhlppmeme7ae7nm/nscH59SpU6equ+t01+csdXVdnRYAYMKECVi9ejXmz5+PlStXYt26dQCAlpYWrFixAgUFBbj33nuhqh3N5rx587Bs2TLcddddqK6uxne+851+nc/EiRNht6e+aKeu69i7dy8mT54MReGX5kyR6a/bUNZ/phA45gvjn/V+SBLgtZlG1Ggjw9Cxf/9+TJgwAfIIDVqEYjpaQzGc5bFiYoEza6b5mxaL4rXdOzFtyjld9+BUBIPBAQfniYbLi/sFWk5bN/3qyTJkvffRRSEtCqfJAneK6361hmKo4AM4IqIOhgZr/VbYD/4R5tYPes2qOcoRqPpXhMs+D6Haes2bbroQuPfDdxA8bdT1sglnI9+SoN0QAkIPw5Q7ocfv443+KIIxvccZlPxaCGc4i2CWP/3u1tAewZ/eix/hdOWUEuT2MELpVFHdQEXOyL7ORNkkpV9d27dvR21tLb797W9DPmUxtKKiIkydOhWbN2/GypUr4XD0PIqmoaHj5tD5kK5T5991dXXd8ufk5HQ9JDw9f319fSqnkBbH/TFUFzqTugkSEVHPxo4dCwBobGzstq0zraqqqsf9g8Egdu/ejZKSkoTtUElJCbZt24ZwOAyr1Yp33nkHgUAAF198cbcHleeddx4A4NVXX+13wEhRlAE9eB/o/pQemf66DVX9K71O5DmseLehHQ3tEeQ7zCNuzUdZVqCMsM4/hhBoCkRhkmXMqMxFsds6ooJtA2WBGfkmG1RV7df7LpM/azS6tIUFNu+LH110ZoGEyUUGEOt9dFFQj2Kiqyilz74QApouUJ6TescVIqJsIkV9sB/+C+yH/gQlfKLXvJH8cxGo+ldEC84FepiqbaT51dFPsLe9NS5tQWEZLshLvKyIEW2HbPVCMnsSbo9qOmpbgnD3MI1cQIvAqVqRb43vyPnLnUcQO2V4kVmR8I3PlJ2+ezf+iIZcmxk5tpGzHhRRtkvp7rZjxw4AQHV1dbdtNTU1iEQi2LNnT69lTJw4EcCnC5d3OnjwIABg/Pjx3fK3tLSgra0tYf5x48YlXf90aA3FkGs3YayXX8SJiAZqxowZADqmNz3dvn37YLFYcM455/S4fzgchhCixwcqsizDMAwEg0EA6Po3Uf7OjhOd6yoR0cA5LCqml+dgcrEbraEYWkOxdFdpRPNHNNS3R1DusWLuWC9KPLasChYRjSbPvm8gon36twRg4RQZ0IKQbQU9ji7SDB2qJCPXnNrU5+0RDXkOEzx9rBtBRJSt1PZDcO/9GQpfvg6ufU/2GCwSsgXByktx/PzH0DLjXkQLz8uYYNE+vw//rzZ+SuVSqw23jT0z8Q7CgDCiUF3lPX6nPOoLQxci4QxKQgiEtCiqHPlQTrlGzcEofv/P+A7/l51djAJn3+vS+yM6qnL5HZdoOKX07bAzyFNYWNhtW2fawYMHMWfOnB7LWLRoEbZu3YrVq1ejsrISEyZMwJ49e/D4449j8uTJWLhwYVz+lStX4uabb8bdd9+NH/zgB3A6ndiyZQtefvllfOMb30BNTU0qp9BNfxYc78wvDAO6bvSYL6YbCEZimFbiggTBRXdHAC44nplG63mPFAO5/oP9ms2cOROVlZV44YUXcNttt3UFbRoaGrBr1y5cfvnlcaNcGxsb4fV6u0YHeb1elJWVoa6uDnV1dSgpKenKW19fj2PHjqG0tBRerxcAMGnSJEiShN27d8MwjLjRtTt37uzKQ0SDR5YlVOXZkWs34Z/17aj3RZDvNEOV+SOxk2YInPBHYTPLmFWZm9SPbSIauY75BP5+QMSlzR4jodJjQEQBxZ7Xw55AuxZGqTUn5TW+glEDZxW5+QCOiEYXYcB8fCccB/8AS9OuXrPq1nwEx1yGYMUXIcy9T3s+EkUMA6s+2gtdfNq+yADuPmMK7D1M82tEfVDsBZDNidfEC0Q1HG0L9zjapy0WQoHVBY8pfvq4X719FBHt0+eniizhW+eW93kOUc2ASZFQ6OJ3XaLhlFLAqLMXtdXafY7LzrT29vZey8jNzcWTTz6J++67D5dddhlMJhN0XcdVV12F5cuXdyt76tSpeOqpp7By5UrMnj0bJpMJZrMZd911F66//vpUqp/QQOY0P3DwANqsPX8xbwrpGOtWcSBS12MeSg8uOJ6ZRut5jxQj4fqrqopVq1bhpptuwpo1a/Dd734XwWAQK1asQH5+PpYsWdKVd8uWLViyZAkuvPBCPPbYY13pS5cuxZIlS7Bs2TI8+OCDKCkpQV1dHZYtWwbDMLB06dKuvBUVFfj617+OX/7yl3jggQewZMkSOBwO7Nq1Cw899BDcbnfcuntENHg8NhNmVubgkxNBfHjcD6dFhYs94eELxxCI6Bif78D4PMeIm7aPiFK36Z8GjFPiRSYZ+PJZMkSsvde1i4QQMIToNu1PX0IxHXazjPwe1p4gIso2khaC7ciLsB96FmrgaK95o7lnIlh1OcJFcwA5c797/tp3HLXhYFzat8rHY7I7N/EOhg5haFCdiaeJE0LgUHMQJkWCkqAjl2YYMISBCrs3rjOCLxzDpnfin4teWlOIUk/f6+61hmIYn+fgevBEw2zY73wfffQRbr75ZuTl5WHz5s0YN24cPvnkEyxfvhzXXnst1q5di7KyT29Ozz33HJYvX45LLrkE//Vf/wWPx4Nt27bhrrvuwu7du/Hggw/CbO7/F93+LDiu6zqOvbELY6vGosideNG1llAM4ywKppfnJLyRUnpwwfHMNFrPe6QYyPUfisXGZ8+ejfXr12PNmjWYO3cuJEnCrFmzsHHjxrgRsLm5uXA6nXGjiADgkksugdfrxRNPPIErrriia+TQlClTsG7dOsyePTsu/8qVK1FTU4NNmzZh3rx5kGUZDocDs2bNwi233IIxY8YM6vkR0adURcbEQifynWa8c8zXtbbRaPxupekGmgIxuK0K5oz1wsu1MYmywgeNBvbUxY8umj9RgtfW9+iigB5FjtkOp5paz2tfOIazi9yj8l5KRKOLEmyA/dCfYDv8PGQt0GM+ISkIl5yPQNXl0HImDmMNh8YbLcfxYrA1Lu1MpwfXV4xPvAMAI9YO1V4M2eRMuL01HMOJUAx59sSji9q1IMpsXjhOa5M27j6GQPTTmUdkCbjuvL5HFxlCwBBIKrBERIMrpYCR09lx0wiHw922daa5XL33brr77rtRV1eH9evXdy04PmHCBKxevRrz58/HypUrsW7dOgBAS0sLVqxYgYKCAtx7771dUwrNmzcPy5Ytw1133YXq6up+LzYODGzhZkmWEy58HNUM6AKYXJIDsylzeyNkMy44nplG63mPFP25/kP1ek2fPh0bNmzoNc/s2bO7po073cyZMzFz5sykjiVJEq6++mpcffXVKdeTiAaH127GnCovPjruxyctQeRYTbCbR0970BqKIaIZmFjgwFivHSp7WRJlBUMI/HZv/BTnbgtwycSTo4vsPa9dBABhPYrxzoKUjqnpBmRJQhGn9yGibCUETC3/hOPAH2Fp2AYJPS8lYZjdCFZeimDlAhjWngP0maQlFsV/fvxeXJpVVnD3xClQ5R6+QxoahNCgOEsTbxYCB5uDcJiUhFOZRnQNiqSg1O6JSw9ENfxm17G4tIvOKMCY3L477vvCGopdZjgtfK5KNNxS+tSNHTsWQMeaEKfrTKuqqupx/2AwiN27d6OkpKQrWNSpoqICJSUl2LZtG8LhMKxWK9555x0EAgFcfPHFXcGiTueddx4A4NVXXx1QwGiwCSHQFIhiSomb06YQERERDRKzKuPsEjcKnBa8U+eDP6KhwGnO6vU3opqBpkAU+Q4zppfnwNPDfPFElJm21Qocao1Pu/wsGTb15Ogim7fHfSO6Bqts6rZORF9aQzGMybHDaho9QXciGiX0GKx1f4fj4B9g8n3ca9aYqwrBqssRKv0XoJfAfKY5Hgnjvo/eQXMsGpd+69hqVNocPezVsXaR6iiHbEocyGlsj8Af1ZDvSHyt2rUQJjqLYD5tCr9n3qmDL6LFpf3bjPjnwT0JxXScU5p4LSUiGlopRTRmzJiBxx57DPv27cOll14at23fvn2wWCw455xzetw/HA5DCNHjD3tZlmEYBoLBIKxWK4LBjrk2E+XvXHi8c12lkaI5GEORy4KKnNS+uBMRERFR3wpdFsy1evF+ox9HWkPwOkywqtn14FMIgeZgDLoQmFzsRkWujVNHEWWZqC7wu3fje72XuIB5VRJE1N/n6KKgHkalPR+KlPyIQ0MIaIZAWQ6n9yGi7CFHWmCr3QL7oS1Qoi095hOQECmciWDVvyKadw6QRZ2OooaBjccO4KnDnyBk6HHb5uQW4PKiXoI0ugZAguIsTly2ruNQSxDuHjrFB7QIXKqt23p6YU3H/74dv17UBePyMCG/58BVp2BUh9OswmvjFMxE6ZBSwGjmzJmorKzECy+8gNtuu60raNPQ0IBdu3bh8ssvh8Px6Qe/sbERXq+3a3SQ1+tFWVkZ6urqUFdXF7euRH19PY4dO4bS0lJ4vR09qSZNmgRJkrB79+6uNSY6dU4zNGnSpH6e+uALazoMIXBWkQsyf9QTERERDQmrScHUUjcKHWb8s96HgKTDazdlxWijsKajORBDicuCmiIXp+EgylJ//UigJRSfdvVkGYpkQKD30UWGMCCEhHxL4nUmeuILayh0WuC2crQiEWU+1fcxnIf+DGvdq5AMrcd8hmpDqHw+gmMug+5IPOVaJtva3IhHDnyAo+Fgt225JjOWT5jU63dkPdYG1VUJWUncmeCYLwzNEDAnmG7eEAJBLYopOeXdOjD88Z/1aA7G4tKSHV3UHulYa4/PVonSI6UJ0FVVxapVq1BbW4s1a9ZA13W0t7djxYoVyM/Px5IlS7rybtmyBfPmzcOtt94aV8bSpUshhMCyZctQV1cHAKirq8PSpUthGAaWLl3albeiogJf//rXceDAATzwwAMIBDoWqNu1axceeughuN1ufPvb3+73yQ8mIQSaAzFMKuYPeyIiIqKhJkkSynJsmDs2Dzk2E+p8EUS1nueoH+mEEGjyRxAI65hW5sZnynP4nZIoS/nCAlv2xd+vagokTCmWIKKBPkcXtWsRFFpcsCqpBX6CUR1V3r7XjSAiGqmEocOo/StmHnsCBa/fDtvRF3sMFmn2YvjO/Hccv3AD2s+6OeuCRYdDASx9byfuev/thMEihyTjvolTkGvuZco9PQpJUqDaixJuDkY1HGsN9zgtsi8WQqHV1W161Khm4Km3jsSlzRqTi7OLe1/3Hvh0rb1id/ZMFUiUaVL+FTp79mysX78ea9aswdy5cyFJEmbNmoWNGzeisLCwK19ubi6cTmfcKCIAuOSSS+D1evHEE0/giiuu6Bo5NGXKFKxbtw6zZ8+Oy79y5UrU1NRg06ZNmDdvHmRZhsPhwKxZs3DLLbdgzJgx/Tz1wdUcjKHUbUGZh1PREREREQ0Xh0XF9PIc1LaE8H5jO8yqjJwMW+snFNPREoqh3GNDdYEDdjMDRUTZ7Nn3DYRPeb4pAVg4RYaEvkcXAUBM11DoTm1dh0BUg9uqIs/O6X2IKDMZsQAa/nQ1tNoX0dtdMpI3BcGqyxEpnAFI2TVtMQAEdQ3rD3+MjccOQhOi23YJwGWFZbhEsmKSO7fXsvSoDyZ3FSSle9sghMChliBkWUo4NbJmGDCEgUp7XrcRTJvfb0CjP34dpRuTHF3UGtZQmWOHJcumnCbKJP36NTp9+nRs2LCh1zyzZ8/umjbudDNnzsTMmTOTOpYkSbj66qtx9dVXp1zP4RKO6YAAzixyZcVUKERERESZRJYlVOXZ4XWYsLeuHXVtERQ4TVCVlAbTDztDCDQFojDJMqaXeVDstvK7JFGWq/MJ/O1A/AO+2ZUSxuRIEJG+RxeFtCicJgvcamrrELWHdZxTyqnTiShzhWpfQrj2xYTbhGxCqPRCBKsuh+YeO8w1Gx5CCPy1qQ5rD+5DUzSSMM9kVw5uH3cmJtqdOHSotvfy9Ahk2QzFkXh0UVs4hqZgtMeOBu1aEOV2L+xq/HbNEFh/2uiiaWVuTC3z9FofoOMcY7pAmYdr7RGlE7svDlDnosTnlnvYG5SIiIgojdxWE2ZW5uCTE0F81OSHw6zC1cMCvenmj2jwRTRU5dpwRr4TVhN7URKNBpv+acA4JV5kkoEvny0DomORcsWW1+v+QT2KM5yFKQWXo5oBkyKh0MkHcESUuWRT93XbdEsugmO+hGDFpRCWvgMSmeojvw8/OfA+3vG1JNyeZ7LglqpqzC8ogSRJEIbeZ5ki2g41ZwIkufvIfEMIHGoJwa6qCdubiK5BkRSU2Lpf8xf2HcfRtnBc2o0zKvusDwC0RzTk2U1wj9Dv70SjBT+BA9QUiKI8x4YSN798ExEREaWbqsiYWOhEvtOMd4750OCLIN9pTjiVRjpohsAJfxQ2s4xZlbkocHJ+dqLR4oPjBnbXxY8umn+GBK/91NFFPU8Zpxk6FEmG19L9oWlvWkMxjM9zwKyO7FGXRES9sVZcCM95d6Ht3SfRbFghT/wKwqUXAAkCHtmiLRbF47Uf4dn6w0i0UqcqSVhYWoXry8fDrib/iFdoYUiKFYo9P+H2Jn8EvnAM+T18T23XQpjoLIJZjj+mIQSefDN+ZNPZRS7MqMxJql7BqIGzitwccU+UZgwYDUA4ZsCjKqgpdPJmRkRERDSCeO1mzKnyYn9TAB83B+CxqnCkeTS4LxxDMGpgXJ6dD2+JRhlDCPz2nfjHfS4LcEl18qOL2rUwSq05MMnJj0g0hIAAUMrpfYgow0mSBO9n70Wo5t+wfevTmFo6FVIK98NMoguBP9YfxuO1H6FdiyXMMzMnH7eNrUGlPbVOBABgRNth8lZDkrp/N47qOg62hHoc5RPQInCpNuRbXd22vbr/BA40h+LS/m1GRVLPTMOaDqsqI8+evQFAokzBgNEACAhMKfXAxilEiIiIiEYcsyrjrGIX8h1mvFPnQzAaRZ7DBHmYO/pouoGmQAxuq4LZVbnwctF5olFnx2GBQ63xaZefKcNmOjm6yFHU6+giIQQMIRI+oOtNWyiGYpcFTgt/+hMRZYI9bc34yYH3sT/QnnB7qdWG71adic96C/rVeV1oIchmZ4+dFOp9EcR0Ay5r9zbJEAJBLYopOeVQpPiOT0IIPLEjfnTRGfkOzBvnTapebSEN1QXOEb8GKdFowG+N/SSh48ZX6OQPfiIiIqKRrNBlwVyrFx80+nG4NQSvwwSrOjwdflpDMUQ0AxMLHBjrtfNHMNEoFNUFnnk3fnRRiQuYN1YCTq4zoVhzey0joEeRY7bDqaY2jWVEE6jy2lOrMBERDbvjkTB+fnAfXmyqS7jdKiv4Zvk4fLWsCpYBjKwyYn5YvGdBkrqXEYxpONwagqeH0UXtsRAKrS7kmLu3K1sPtuDD44G4tH+bUZFURy395OJ+JW5O1Uw0EjBg1E8FdgVnFbk4FR0RERFRBrCaFJxT6kaBw4x369sRkHR47aYh+y4X1Qw0BaLId5gxvTwHHhun1yAarV7cL9AcjE+7apIMVZZgRPxQHMW9ji4CgIgew3hnQUrH9Uc05NhMyOX9h4hoxIoaBjYeO4inDn+M0MlOBKf7fH4xbqmqRpHFNqBjiZgfstkFqYdOCodbw1BkCUqCDk6aYUAXApX27iOThBD4n+3xo4vG5NrwuQmJ10g6XVs4hlK3FfY0Tx9NRB34SewnVZZGzOLJRERERNQ3SZJQlmNDjs2E9xvaUeeLIN9hHtS1hIQQaA7GoAuBycVuVOTa+J2RaBRrjwhs+SB+dFF1gYRzSjpGF0mQ+hxdFNE1WGQVHlNqDwrbIxrOLc9hJ0ciohHq9eZGPHLgAxwJBxNuH2934vZxZ2GaJ7lp3XolBAwtBEveJEhS9+++baEYGv1h5PUwdbIvFkS53Qu72n37W0fasLc+fgq968+rSPo7cEQTqMwdWDCMiAYPA0ZERERENKo4LCo+U56D2pYQ3mtsh0WVkTMIPfDDmo7mQMd6IWcWubhmCBHh2fcNhLT4tIWTZUiSBCOa3OiioB5GpT2/23oRvYloBiyqgnwHp1AnIhppDocC+NmBD/B6y/GE252KikVjzsDlxRVQU7j390bEAlAsuZAsOd22GULgYEsQNlVJ2MkgomtQZQWltu77Aug2uqjUbcEXq5MbFeuPaPBYFY6GJRpB+CuWiIiIiEYdWZZQlWeH12HC3rp21LVFUOA09WuNISEETgSikCBhWpkbpW4bZI4qIhr16tsF/vaJiEubVSmhKvfk6CJJ7nN0kSEMCCEh3+JM6ditoRiqC5wwcd00IqIRI6hrWH/4Y2w8dhCaEN22SwAuKyrHv4+ZiBzTIAb8hYDQwzB5z0gYEGryR+CLaD12MmjXQpjoLIIpwdpJe4758NaRtri066ZXJP2d2h/RMbXUzdGwRCMIA0ZERERENGq5rSbMrMzBgeYgPjzuh8OswtXDQr+JhGI6WoIxlOfYUF3g4NzrRNTl6X8K6Kc8D1Rl4MqzOx6gGbHkRhf5tQjyLU5YleR7XmtcPJyIaEQRQuCvTXVYe3AfmqKRhHkmu3Jw+7gzUe30DPrxjagPsi0PksndbVtMN3CwJQSXpXswCAACWgQu1YYCa/d9AWDdjvjRRQUOM750VlFS9YrpBkyKhAIn2yuikYS/aImIiIhoVFMVGWcUOJHnMGNvnQ8NvgjyneZe5103hEBTIAqTLGN6uQfFbit7RtKo0B7RcMhngg0ywpqASQHMCuL+lflZwAGfCbvr4tPmnyEhz37q6KK+16SI6hqK3ak9PGwNxVDu4eLhREQjwUd+H35y4H2842tJuD3PZMF3qibiCwWlQ/NdUhgQRgyqszxh+XW+MGK6AZe1ewcGQwiEtBgm5xQmbNs/aPRj68H48/rGueVJrw/aGoqhymsf1PVEiWjg+A2SiIiIiAiA127G7DFe7G8K4OPmADxWFY4ED1z9EQ2+iIaqXBvOyHfCakrcI5Mo27yyvwmXPL4dUT3/ZIqeMJ8qdw8idf0rSzApgEXt/PvU7VJc/vh9pW5pIzVAZQiB5w+54tKcZuCS6tNHF/U+aiikReE0WeBWrUkfWwgBTReozLWnXnEiIho0bbEoHq/9CM/WH4aRYLsqSVhYWoXry8fDrg7d41kj6oNiL4JsdnXbFoppONIWgruH0fXtsRAKrE7kmBO3Kf9z2uiiXJsJX55cnFy9hIBhAGVuW1L5iWj4MGBERERERHSSWZVxVrEL+SdHGx2PRpFj7QgIaYZAUyACm1nGrMpcTp9Bo86PXt6PqJ7osVc8zej4D7FEW7uv2ZDctp6ppwad5NODSlLiwNVp27pvl+ICWl0BriQCVDuOAEcD8cGgy8+SYTd1ji6SkhpdFNSjOMNZmFKP8/aIBq/dBE8KU2sSEdHg0YXAs/WH8XjtR/BpCRtCzMjJx+1ja1BpT219ulQJYUAYGlRnacLth1vDkCUp4XpDmmFAFwKV9ryE+358IoBX9p+IS7t2WhlsSXak8oU1FDjNKU0FTUTDg59KIiIiIqLTFLos+KzVi32NfhxsDsAXMXAiEMGEAhfG5zk4dQaNSoXOQVyAexB1BqhCwxSgUqSeAlAdI6EOt8WXW+wEzh/bEfRJdnSRZuhQJBleS2oPEwNRA2cVcfFwIqJ02NPWjJ8ceB/7A+0Jt5dabfhu1Zn4rLdgWO7TRsQHk6MYssnRbZsvHEODP4I8e+L2yBcLotzuhV1N3PY/+ebhuL9dFhVXn1OSdN1CUR1TShKvi0RE6cWAERERERFRAlaTgimlbnhtClqPSZg1JhcFLk6bQaPXg186CxHNwOb3jkATMmK61M+QS2bTBRDSOv7rrvsVuXqyDFVObXRRuxZGqTUHJjn5KS/DMR12k4x8x8gM7BERZavjkTDWHtyHvzbVJdxulRV8s3wcvlpWBUsK9/UBEToAAcVV1m2TIQQOtgRhVeWEgauIHoMqKyi15SQs+nBrCC/sOx6Xds3UUjgtyT1mDsV0OCwKvHa2V0QjEQNGREREREQ9kCQJpR4bJuVb+KOWRr1itxW/+vo03P+7t2HNcSPf4YYugKgORDUgpgNR4+S/OhDVRdf/f5rW+f+Jt3X8LT5NP7U8rb9jgtKnOh84pyS10UVCCBhCIN/afb2J3rSFNJxV5IIic3QREdFwiBoGNh47iKcOf4yQkXhdv8/nF+OWqmoUWYa505Huh+o4C7La/bgnAhG0hmI9Tq/crkVQ7SrqsdPC+jcPwzilQbabFFwzNfG0d4n4QhrOLmZ7RTRSMWBEREREREREKZMkCarUsYZQ4hltBvdBkBCiK0B1erDp1CBUJOF20UPgCogZoltZnWUYA4hQWVTg2nOUjt7bhgZJkpMaXRTQo8gx2eBUk18nTdMNSBJQ7ObaakREw+H15kY8cuADHAkHE24fb3fitnFn4jOexGsADSWhxwDIkJ3F3bZphoGDLSG4ehgN5NcicKtW5FsSd1qo94Wx+f3GuLSvTClBjq33zhCfHl9AkoAiF9sropGKASMiIiIiIiJKjREDtCAABZAVQFKAIV6P4dQAFYYhQAV0PNhKHJyKHyV1enAq6Pdh7kQ3Sj2do4sCSY0uAoCwHsM4R35K9WwNxTAm1w5rkouNExFR/xwOBfCzAx/g9ZbjCbc7FRWLxpyBy4sroErDv+al0MMwou0wbOWQle5BmXpfBBFNh9PRfZshBMJaDGfkFELuoU3fsPMItFN6U1gUGV/7TPdp73rSGoqhIsfK9opoBGPAiIiIiIiIiJImTLmQLQ5AVQAjChgRCEOHMERHyEYChOgI8EBWIEkKIMkdgSXIQx5YGkyqLEGVgcQdp3s4D2Hg2LEgSt2ejr9TGF0UNTRYZBU5ZnvSdRRCQDMEynOsSe9DRESpCeoanjr8MTYeO4iY6D78VAJwWVE5Fo2ZiFxTeqYxFloIQgvClHcmhL97QCsc01DbGoTHmrjzQnsshEKrq8c2qCkQxR/+WR+XdsXk4qTXzhNCQNMFynOSb+OIaPgxYERERERERETJU+xQHIUwORxdScLQOxbYNrSO/4cOoccg9CiEHgX0KBALQQi9ax0iCR1rEkmSAkmW8eloJbnjvyzRMbqoJKnRRf5YGGMc+VBSOP+2sIZCpwXuHh4AEhFR/wkh8NemOqw9uA9N0UjCPJNcObh93JmocXqGuXafElE/hNBgzp8EqE4A3QNGR9rCAABV6d7GaIYBXQhU2Hvu3PCrt48iqn8aLFNlCd84tzzpOvojOnJtJnisfBxNNJLxE0pEREREREQDIskKAAVQzD1ODCeEAE4GloShdQWYDCMGoUc6gkpGFMLQIIToCigBgITO0UryyenvOgNLI3y0Utfooty+swoDgIR8izOlQ4RiOqaUuPtZQSIi6slHfh9+cuB9vONrSbg9z2TBd6omYn5BaY9TuA0HI9IGSVJgzp8E2eSEYejd8vjCMdS3R5Dbw1pDvlgQFfY82NXEo4VaQzFseudYXNqCs4pQnMJaRIGohprynI4RyEQ0YjFgRERERERERENOkiRAUQGokPDpA6bT+zkLwwCEBhj6ydFKGoSuQeiRjtFKRhTQThmtJDriRh2jleRPg1ed0+ClcbSSEQ1AcSY5ukiLIN/ihDWJvJ2CUR1Os4o8e3qmPyIiykZtsSger/0Iz9YfhpFguypJWFhahevLx8OupvfRqhFphaRYYfJWQ1ZtifMIgUMtIZhVGbLcPVgT0WMwySpKbD2PkPrN7qMIxT69GrIEXD89+dFFEc2AWVWSnr6OiNKHASMiIiIiIiIaMTqmpzN3xHx6yNM1Wgk6hH5ytJLQYXROgWdEAT0CEQtDCKPn0UqQAVkdktFKQtcgycmtXQQAMUNHcS8P6xJpD2uYXOJK+ACQiIhSowuBZ+sP4/Haj+DTYgnzzMjJx+1ja1BpT2006KATAnrkBBSTB6p3ImSl55E+LcEoWkLRHoM1Pi2MGlcxTLKScLs/omHjrvjRRfOrC1CekzhAlUhbOIaJ+c6E0+ER0cjCgBERERERERFllLjRSkpfo5VOToOna+haW8noXFspAhjhjhFM+DRA1TlaCbIMCScDSvLJ6fCSpGsBmJxlkJS+f3aHtCgcqhlu1Zp0+THdgCJLKHIlvw8RESW2p60ZPznwPvYH2hNuL7Xa8N2qM/FZb0H6p1QTBvRwMxRrHky5EyDJPY9M1QwDB5qDcFrUhPX2axF4VBvyLa4ey3h6Tx380fhp7v7tvIqkq6sbAhBIafo6IkofBoyIiIiIiIgoK3WMVpIBmCD18Ou3Y7SSgc6p7z4drdQRWIIeAfQYRCzcka9z+ruOqBIgySePowCyAgGpowwkP7ooqEdxhrMwpYeQLcEYxuU5YFbZW5uIqL+OR8JYe3Af/tpUl3C7RZbxrfLx+GpZFSw9jMAZVoYOPdIMxV4MU85YSD01bic1tEcQ1gzkJRhdZAiBsBbDxNyiHtdgCsV0/GrXkbi0z03Iw7g8R9JV9oVjKHJZ4LDwMTRRJuAnlYiIiIiIiEatjtFKHese9TpaSQjA6AgoCUMHxMm1lbpGK0UBIwJd0yAbIaj26qRGF2mGDkWS4bUkP72RIQQEgDIPRxcREfVH1DCw8dhBPHX4Y4QMPWGez+UVY/HYahRZkp96bUgZGvRIC1RnOVT3mJNTq/YsrBmobQnCbU3cFrXHQiiyuuEx9Xx+v99bj9aQFpd2w4zKlKod1gTG5NpT2oeI0ocBIyIiIiIiIkqJLhItA57dOgJLJgCmHtdWAgBFi0Hz26DY85Mq16+FUWL19Lh2RCJtoRiKXRY42VubiChlbzQfx5oD7+NIOJhw+zi7E7ePOxOf8eQNc816ocegR1qhesZCdZYlNSL1SFsIQgCmBOsGaYYOAwIVjtwe949oBn65M3500WerclFdmHwHh0BUg9uqINfW87R5RDSy8NslERERERERJS1XsSEGCScifiiSDKdqgToSpukZKSQFkE1Ar2GlDkIIaMJAvtWd0iHYW5uIKHVHQgE8cuADvN5yPOF2p6Ji0ZgzcHlxBdQ+Ru8MKz0CPdoOU+4EqI6SpHYJagYCvmjCqegAoC0WQqU9DzYl8XYA+PN7DTgeiMalpTq6yB/WMaXUBVlO87pPRJQ0BoyIiIiIiIgoabmqDSWeSshmA02RdhwPt0MTBsyyCodqhjySHrKNcAE9ilyTHU41+YXA/RENHqsCr529tYlo9PGFNexvN0FqiAGyDgn49L/O/zktLSI0bG46hL+21EIToluZEoB/ySnDVwrHw2My40ibAaBjzbpu5Z/y/6endeSXPv27s/zTYiXSaemn/33qfkKLQGhBmHImIKbkAeHYyW1Sj2XphoE6v4Y8l5QwUBPRYzDLKkpsnm7bOmm6gfVvHo5Lm17hwZTS5Ds4xHQDiiyh0MnpU4kyCQNGRERERERElBJZkuAx2eAx2TDGngefFkZj2IcTUT8gAItigl0xJzVlzmgW1mMY50hu6rpO/oiOqaVuXlsiGpViukBIlwH502BJ1ySpQgACHf+hY723nf5G/OHEfrTp0e6FAaiyuPGVvImosLigxYCm2Mn1jETcP6f82z3g1HnoU/NJUkeadDKt619JQlwRUsfOEtCtZEOPQOgaTO5KyK0mSK0+CAhIkOLLPO1fQwi0xwSqLIlH//q0MGpcxb1OhfrcB8dR1x6JS0t1dFFbKIYxXjvMKjuSEGUSBoyIiIiIiIio31RZgdfsgNfsQETX0BYLoiHsQ3PUDwkS7KoFVoWjYU4XNTRYZBU55uSnlotoBsyqjEJX8iOSiIiyjSwJWBWp+5CcU8b1HA6341cNH+KjUGvCMjyKGVcVTsBMdzHkERiAF1oAUAHVPR6y2ZHSvoZuoN0id412OpVfiyBHtSHf4upxf90QePKt+NFFk0tcmF7e84ik0wkhoBkCpW6OLiLKNAwYERERERER0aCwKCoKFTcKrW4EtShaY0HUh9twIuKHLElwqBaYZf4MBQB/LIIxjjwoKUzh1xqKobrAmXABcyIiAvx6DH84/jH+1no04VggBRIu8lbgS3ljYVNGZnskYgFIkgI1pwqSOngBF0MIhLQoJuZW9Boke+mjJtS2hOLSbpxRmdLIVl9EQ4HDAreVHUaIMs3IvDMSERERERFRRrOrZthVM0qsHgS0CE5EA2gI+9AeC0OVFTgUC1R5dAY+DNExgVK+xZn0PrrR8eizxM3RRUREpzOEwN9bj+L3xz9GwNAS5jnb4cVXCyeixJLaiJ3hJKI+SIoVqmcMJGVw7/e+WBDFVg88JluPeQwhsO7N2ri06gIH5lTlpnSsYETHpKLk1zsiopGDASMiIiIiIiIaMpIkwWmywmmyotyei/ZYGE1RP46H26ELAxZZhV01Q05hpE2m82sR5FucKU3V1xqKodxjhd3Mn/FERKf6KNiKXzXsw+GIP+H2fJMV1xROxFRn/shd/00IGJE2yBYXVNcYSIM8+kkzdAgAFY7eAz+vfdKM/U3BuLQbUhxdFI7psJsV5DnM/akqEaUZv2kSERERERHRsFAkGTlmO3LMdlTZ89AWC6Ex4kNzJAgBAZtihk0xjdwHeoMkZugosibf81oIgahuoCKn517hRESjTUssjE3H92O7ryHhdrMk49K8KnzBWwmTrAxz7VIgBESkDbI1F6qzHJIy+HVti4VQac+DTek5iCOEwP/siB9dNNZrw79MyEvtWGENZxW6oMjZ3ZYTZSsGjIiIiIiIiGjYqbKCPIsTeRYnwnoMbdEgGsI+NEcDkCDBoZphSWEETqYI6VHYVTPcvUwJdDp/RIfXZkaOLfuuBxFRqnQhsOXEIWw+cQgRoSfMM91ViIWFZ8BrGrw1gIaE0GFEfFBs+VCcZZCGYKrWiB6DWVZRYvP0mm97bSvea4gfpfVvMyp7Xe/odJohIElAEadPJcpYDBgRERERERFRWlkVE6w2D4psHgS1KJqjATSE23Ai7IciS7CrFpjl7Pj5GtSiOMNZmNIDOH9Ux/RyZ9aPvCIi6strTbX4rd6AtqbEgaIyiwPXFlajpo+p10YEQ4cR9UFxlEBxFA3ZPd6nhXGmq7jPUVanjy4q81hx8cSClI7VFoqh3G2FzTSCR3QRUa+y4xs3ERERERERZQW7aoZdNaPUloOAFsGJiB8NYR/aRRgmWYFdsUAdgh7Yw0EzdCiSDK/FmfQ+4ZgOu0lGPteCIKJRTAiBf9/6NP7nox0Jt9tlFZfnj8O/5JZByYQ18QwNItoO1VkG2V4wZMEifyyMHJMdeRZXr/nePtKGXUd9cWnXn1cBNYVp5YQQiOkGyjl9KlFGY8CIiIiIiIiIRhxZkuAyWeEyWVHh8KI9FsbxcDuOR9thCAGLYoJdMac0Uifd/FoYxVZPSmtptIU0nFXkgqpkwANQIhpSb731FtasWYP9+/dDlmXMmjULS5cuRXFxcVL7f/zxx1i7di127dqFUCgEl8uFOXPm4JZbbkFhYWG3/D6fDz/+8Y/x8ssvQ9M0lJeX4+abb8ZFF1002KfWp78c/SBhsEgCMM9Tii8XjIdLzZDAuh6FoYWgusdAsXmH7DCGEAgbMUx0F/fZVq47bXRRodOMBWd2f0/0JhDVkcPpU4kyHr9xEhERERER0YimSDJyzHac4S7Ced6xqHGXwK6Y0RoN4kTEj5AWhRAi3dXslRACujBQYHUnvY+mG5AkoJhrQRCNetu2bcN1112HadOm4bXXXsNzzz2HtrY2LFy4EMePH+9z/3379uErX/kKPvroI6xfvx5vvPEGHnnkEbzyyiu48sorceLEibj8wWAQ3/jGN7B7925s2rQJb7zxBq666iosXrwYf/jDH4boLHsW1rVuaeOsbqwYcx6+VXJm5gSLtAiEFobJM3ZIg0VAx1R0RRYPPH2smfdufTu21bbGpX1rejlMKXZUaI9oGJdn5/SpRBmOASMiIiIiIiLKGCZZQb7FibM9pTjXOwYTnIWQJRkt0QBaIgFEEjxUHAkCehQ5JjucavLBn7awhjG5dli5FgTRqKZpGu6++25UVlbi9ttvh6qqcLvduP/++9HU1ITVq1f3WcZTTz2FUCiEO+64AxUVFQCAmpoaLFq0CMePH8fTTz8dl/+JJ57Avn378IMf/ABFRUUAgGuuuQbnn38+HnjgAfh8vm7HGEr/WnE2vjxmMgDABQU3FJ+J/xgzHVW25IPwaacFIYwo1JzxkC1DW29NGBBCoCKJtZzW7Tgc97fXbsLlk5IbtdYpqhkwK5w+lSgbMGBEREREREREGcmqmFBs8+CcnHJMza1EpcMLXeg4EfGjNRpEzEi8KHo6hPUYSmw5SefvWAtCoMxjHbpKEVFG2L59O2prazF//nzIp6zhVlRUhKlTp2Lz5s0IBAK9ltHQ0AAAXcGiTp1/19XVdaUJIfD000+jsLAQ06ZNi8s/f/58tLW14fnnnx/QOaVKkWVs+tx1+McF1+HrajHmePqeZm0kEbEAAAFTznjIZseQHy9oRFFhz4VN6T2A89HxAP72Sfzosm98phxWNbWOCq2hGMZ67SmPSiKikYefYiIiIiIiIspokiTBoVpQbvdiWu4YTMkpR7HVjaAWxYmIH75YCLow0la/qKHBIqvwmOxJ7+OLaChwmOHhWhBEo96OHR1r91RXV3fbVlNTg0gkgj179vRaxsSJEwEABw4ciEs/ePAgAGD8+PFdaYcOHUJDQ0OPxwM6gljp4MiUqedOIaLtkCQVas4ESCm0A/0V1KJQJQXFVk+fede9Gb92kceq4sopqY0uMoSAAFDiZgcHomzAgBERERERERFlDVmS4DbZMNZZgOneKpztKUWuyY62WAgnIn4EtAiMYV7vyB+LoNTmgSon/xM8GNUxNm/oHywS0cjXGeQpLCzstq0zrTPw05NFixahpqYGq1evxocffgjDMLBr1y48/vjjmDx5MhYuXNiVt7Os3o536NCh/pzK6CIEjEgbJNUGNWccJGXo16ML6VFEDQ1V5hyocu+jhA42B/Hih01xaddMLYXDrKZ0TF9YQ7HLAqcltf2IaGTiJ5mIiIiIiIiykirLyDU7kGt2oMrQ4IuFUB/2oTXaMXWTTTXDKpuGdIFuQxgABPItrqT3CUZ1OM0q8uyZ15OeiAaf3+8HAFit3UdwdKa1t7f3WkZubi6efPJJ3HfffbjssstgMpmg6zquuuoqLF++PK7szrJsNlu3cjrTBrqGka7r0PXUpw3VDePk/gKKkr6Ro30RQkCP+qCY3VBcFRBQIPShrW9YjyGoR3GmqxjHm4/C6GNa1iffPIxTu0/YTQqumlwCPcV6BiIxTCpy9uv1zFad14LXpGe8Rn0b6DXq734MGBEREREREVHWM8sq8i0u5FtcCOsxtESDqA+3ojnqhwwZdtUCizL4P5H9WgT5FhesSvJTy/nCMUwpcUOWM2d9DiIa2T766CPcfPPNyMvLw+bNmzFu3Dh88sknWL58Oa699lqsXbsWZWVlw1afDz/8sF/7HWytBwA0NNQPZnUGnay3w1A9MCxuoPXokB8vKnSEjBjGmb043txxvP379/eY/3hIx3MftMSlfb7cjPraj5HKlQ1rAroAasPHcCSD1pQaLnv37k13FUY8XqO+Dfc1YsCIiIiIiIgoSW+99RbWrFmD/fv3Q5ZlzJo1C0uXLkVxcXLz/X/88cdYu3Ytdu3ahVAoBJfLhTlz5uCWW25JOPWPz+fDj3/8Y7z88svQNA3l5eW4+eabcdFFFw32qY0qVsWEEpsHxVY3AnoUzZEAGsJt8GthKJIMp2rpcyqfZMUMHUVWd/L5dQOqLKPQNfRTFxFRZnA6nQCAcDjcbVtnmsvV+yjGu+++G3V1dVi/fj0qKioAABMmTMDq1asxf/58rFy5EuvWrYsrKxQKdSunM83tTv6+lsjEiRNht6c+7aZ8+EO8fOxDFBUVQ1FGXoBCGAb0qA+qbQwUZwmAoa9j1NDQroVR4ypBnsUJw9Cxf/9+TJgwAXIPbdnvX/kYxinDiyyqjFs+Pxm5Ka6bV98ewZQSJypyOIXqqXRdx969ezF58mQoyuB8n8g2vEZ9G+g1CgaD/QrOM2BERERERESUhG3btuHGG2/EjTfeiHXr1iEYDOKOO+7AwoUL8cwzz6CgoKDX/fft24drrrkGlZWVXQ/sPvjgA9x888148cUX8cc//hF5eXld+YPBIL7xjW9AkiRs2rQJRUVF2LhxIxYvXowf/ehHuOKKK4b4jLOfJElwqhY4VQvK7blo18JojvjREPYhJgxYZBUO1QxZ6t/yvyE9CrtqhtvUfVqnnrSGYqjy2mFR+fCEiDqMHTsWANDY2NhtW2daVVVVj/sHg0Hs3r0bJSUlXcGiThUVFSgpKcG2bdsQDodhtVq7yurteGPGjOnPqXRRFKVfD0CVk2vBKYoE9PPePGQMDSLWDpOrDIq9cEinO+0UM3T4jQhqPCUoPK1zgiwrUJTu1+i4P4I/v98Ql3bl5GLkO1PrqKDpBsyqjBKPnQ/8e9Df9/lowmvUt37fL/t5XUfYnZWIiIiIiGjk0TQNd999NyorK3H77bdDVVW43W7cf//9aGpqwurVq/ss46mnnkIoFMIdd9zR9cCupqYGixYtwvHjx/H000/H5X/iiSewb98+/OAHP0BRUREA4JprrsH555+PBx54YMDrR1A8WZLgMdkw1lmA6d4qnO0phcdkQ2sshBMRPwJaBEKIvgs6RUiLosyaAznJh4aGENANoMydfICJiLLfjBkzAHR0PDjdvn37YLFYcM455/S4fzgchhCixwCGLMswDAPBYBBARzCoqKiox+MBwMyZM1M+j6ymx2BE/VBdFVAdRcMSLNIMHa3RIM5wFnULFvXmlzuPIqZ/2p6ZFAnfOLc85eO3hTWMyWEHB6Jsw4ARERERERFRH7Zv347a2lrMnz8fsvzpz6iioiJMnToVmzdvRiAQ6LWMhoaO3ryJencDQF1dXVeaEAJPP/00CgsLMW3atLj88+fPR1tbG55//vkBnRP1TJUVeM0OVLuLMT23ChNdRbDIKpqjATRH/AjrsT7L0AwdsiQj1+JI+rhtoRiKXWa4rJwMhIg+NXPmTFRWVuKFF16AYRhd6Q0NDdi1axcWLFgAh+PTe01jYyM0Tev62+v1oqysDHV1dXFtDQDU19fj2LFjKC0thdfrBdAx+vLqq69GY2Mjdu3aFZf/+eefh9vtxhe+8IWhONXMpEVgxIJQPWOg2POH55CGgZZoEBNchSi2eZLeryUYxTN7498D/3pWEQpTHF0khEBMFyj1WFPaj4hGPgaMiIiIiIiI+rBjxw4AQHV1dbdtNTU1iEQi2LNnT69lTJw4EQBw4MCBuPSDBw8CAMaPH9+VdujQITQ0NPR4PKAjiEVDz6KoKLS6MTmnHOd6x2CsswACAicifrREA4gaWsL9/HoUxVY3zHLywZ+wJlDlTT7ARESjg6qqWLVqFWpra7FmzRrouo729nasWLEC+fn5WLJkSVfeLVu2YN68ebj11lvjyli6dCmEEFi2bFlX0Kiurg5Lly6FYRhYunRpXP4bb7wR1dXV+OEPf9g1Dd3GjRvx97//HStWrBjwGkZZQwtD6BGYcsZBseYOyyF1YaA1GsA4Zz5KbTkp7fvrXccQ0T4NOioS8M3pFb3skVh7REOewwRPimseEdHIx25LREREREREfegM8hQWFnbb1pl28OBBzJkzp8cyFi1ahK1bt2L16tWorKzEhAkTsGfPHjz++OOYPHkyFi5c2JW3M4jU2/EOHTrU7/Oh/rEpZthsZpRYPQhoEZyIBtAQ9qE9FoYqK3AoFsjo6HmtGwYKLL0vQn8qf0SDx6qkvOA4EY0Os2fPxvr167FmzRrMnTsXkiRh1qxZ2LhxY1xbkZubC6fTiZKSkrj9L7nkEni9XjzxxBO44oorYBgGZFnGlClTsG7dOsyePTsuv91ux4YNG/DjH/8YV155JXRdR2lpKX7+85/joosuGpZzHvG0IIQQUHPGQzYPT7DfEAaaIwGMceShzJZagMoXjuG3e47FpX2xphBl/RglFIgaOKuIQUOibMSAERERERERUR/8fj8AwGrt/lClM629vb3XMnJzc/Hkk0/ivvvuw2WXXQaTyQRd13HVVVdh+fLlcWV3lmWzdV/LpjNtIGsY6boOXdf7tR8AGIYOXTf6yJ3dbLIZ5VYzSiwe+LUwTkT8aIz4EdNjaDMiKFXNsMnmpK9TWyiKqaVuCGGgHy8NnaLzfdqf9/howWvUt4Feo6G4ttOnT8eGDRt6zTN79mzs3Lkz4baZM2emtPaQx+PBqlWrsGrVqpTqORqIWACSJMOUMw6SOjzTshlCoDkaQKU9F5V2b8rrJP12Tx0C0U/flxKA689LfXRRWNNhU2Xk2dnBgSgbMWBEREREREQ0DD766CPcfPPNyMvLw+bNmzFu3Dh88sknWL58Oa699lqsXbsWZWVlw1KXDz/8cED7f/LJJ7CbOMP56dzCQMCIIle2Ilbfig+Ph5LaL2YIBGMCRSELjstDv1D6aLF37950V2HE4zXqG68RnU5EfZBkC9ScKkhKamv/9JchBJojAZTac1DpyE85WBSM6vjNrqNxaZ8/Ix9VXnvKdWkLaagpdEJV+D2AKBsxYERERERERNQHp9MJAAiHw922daa5XL1PP3b33Xejrq4O69evR0VFR4/eCRMmYPXq1Zg/fz5WrlyJdevWxZUVCnUPOHSmDWT9iIkTJ8JuT/0hka7reO/VnRg3bhzctuF5SJZpDEPH/v37MWHCBMiyktQ+x/0RTMizY0KBc4hrNzrouo69e/di8uTJUJTkXoPRhteobwO9RsFgcMDBeRphhIAR8UG2OKG6xkBShuexqhACzVE/iqweVDnyIacYLAKAZ/bWoS0cv+beDTMqUy5HNwQAoNjF7wBE2YoBIyIiIiIioj6MHTsWALoW/j5VZ1pVVVWP+weDQezevRslJSVdwaJOFRUVKCkpwbZt2xAOh2G1WrvK6u14Y8aM6c+pAAAURRnQQ2JZVqCwZ3Gvkr1GuiEgSTLKcx18cD/IBvo+Hw14jfrW32vE65plhICItEG25kJ1lkMaptdXnJyGrsDiwnhXARQp9bY3rOn45c4jcWnnj/PijILU111qC8dQ7rHCbuYjZaJsxW/4REREREREfZgxYwYAYN++fd227du3DxaLBeecc06P+4fDYQghepxCRpZlGIaBYDAIoCMYVFRU1OPxAKS0DgWNXK2hGEo9VjgsfPhGRDQiCQNGpBWyLQ+qq2LYgkUA0BINIM/swARnUb+CRQDw7D8b0ByMxaX1Z3QRAEQ0A+U53ddXJKLswYARERERERFRH2bOnInKykq88MILMAyjK72hoQG7du3CggUL4HB82lO3sbERmvbp1C9erxdlZWWoq6tDXV1dXNn19fU4duwYSktL4fV6AQCSJOHqq69GY2Mjdu3aFZf/+eefh9vtxhe+8IWhOFUaRkIIxHQDY3L58I2IaEQSOoxIGxRHMRRXOSR5+B6ltkQC8JjsOMNVBLWfx43pBp46bXTRzMocnF3c+zS6ifgjGnKsJuTaTP2qCxFlBgaMiIiIiIiI+qCqKlatWoXa2lqsWbMGuq6jvb0dK1asQH5+PpYsWdKVd8uWLZg3bx5uvfXWuDKWLl0KIQSWLVvWFTSqq6vD0qVLYRgGli5dGpf/xhtvRHV1NX74wx92TUO3ceNG/P3vf8eKFSsGtIYRjQz+iI5cmxk5fPhGRDTyGBpExAfVWQbFUdzjKOGh0BINwGmyotpdDDXJ9fAS2fJ+IxraI3Fp/R1d5I/oGOu1D+t1IKLhxzHvRERERERESZg9ezbWr1+PNWvWYO7cuZAkCbNmzcLGjRtRWFjYlS83NxdOpxMlJSVx+19yySXwer144okncMUVV8AwDMiyjClTpmDdunWYPXt2XH673Y4NGzbgxz/+Ma688krouo7S0lL8/Oc/x0UXXTQs50xDyx/RML0ihw/fiIhGGj0GIxaA6h4DxeYd1kO3RYOwK2ZUu4phGkCwSDMEnnzzcFzatDI3PlPuSbmsqGbApEgodFn6XR8iygwMGBERERERESVp+vTp2LBhQ695Zs+ejZ07dybcNnPmzJTWHvJ4PFi1ahVWrVqVUj1p5AtrOmwmBfkOc7qrQkREp9IiMPQwTDljIVtSD64MhC8WgllRUeMugUUZ2GPblz5qwpG2cFzav53Xv9FFraEYxuc5YFI4WRVRtuOnnIiIiIiIiFISiunQDJHuamS0tpCGsXl2qHz4RkQ0cmghCCMKk2f8sAeL2mNhqJKMM90lsCoDm6rUEAJPvhU/uujMIidmjcnpV1lCACVu64DqRESZgSOMiIiIiIiIKGnFdhluhxktwRh0w4AiS3CYVdhMMqdWS5JmCEgSH74REY0kIhaAJAGmnPGQTPZhPbZf61hn6Ex3KWzKwEee7myM4kBzKC7txhmV/WqnfWENRS4zXFY+RiYaDfhJJyIiIiIioqR5bSqmVuTAgARfWENzMIq69jAa/VFAABaTDIdZ4bQ1vWgNxVCZY4PN1P+1KYiIaPCIaDsk2Qw1pwqSMrzr9AS0CAxh4GxPGezqwINFQgg8+3EwLm18nh3zxvVvLaZQTMeUEveA60VEmYEBIyIiIiIiIkqZSZGR5zAjz2HGhHwHglEdvoiGRn8EDe0RxHQBWQLsZgV2swKZo48AdDzI03SBco8t3VUhIiIhYER9kE0OqO5KSIMwuicVIS2KmKFhkqccTnVwAlVvHGrFoXY9Lu2GGRX9aodDMR0Os4I8O9fbIxotGDAiIiIiIiKiAZEkCQ6LCodFRYnbCt0QaI9oaAlGUeeL4Lg/CiEETIoMp0WFRR29o498EQ35DjM8toGtT0FERAMkBIxIG2SLB6qrApIyvI9Jw3oMYSOGsz1lcJkGZ4pSIQTWvRm/dlFljg2fP6OgX+X5wjGcXeSGLLPTB9FowYARERERERERDSpFlpBjMyHHZsLYPAfCMR2+sIbjgY7RR63BGCABNpMMh1mFMooeRAUjOiYVcWofIqK0EkZHsMiWB9VZBkke3ilCI3oMQS2Csz1l8JgGb8TpziNt2FvfHpd23Xnl/WpnNd2ABAlFruGdoo+I0osBIyIiIiIiIhpSVpMCq0lBocuCMwsF/FENbaEY6tsjOBGMwhAdQSaHWYFVlfu1KHcmCMV0OCwK8hyc2oeIKG2EDiPig2IvhOIsHfY2J2po8GthnOUpQ47ZPvDyNAPvN7bj7SM+/Pn9hrhtxS4LLq0p7Fe5rWENlbk2WLneHtGowoARERFlnLfeegtr1qzB/v37IcsyZs2ahaVLl6K4uDip/T/++GOsXbsWu3btQigUgsvlwpw5c3DLLbegsDDxl+mXXnoJTz31FA4dOgS/34/c3FxMmzYNd955J4qKigbz9IiIiLKaLEtwW01wW02oyLUjqhnwRWI4EYihzhdGYygKSAIWVYHTrEBVsmf6us6pfUbTiCoiohHF0GFEfVCcpVDshWkJFvliIZzpKoHX7OhXGaGYjr11Puw66sOuo234Z107IrqRMO9108v71Y4KIRDTBcq43h7RqMOAERERZZRt27bhxhtvxI033oh169YhGAzijjvuwMKFC/HMM8+goKD3uZn37duHa665BpWVlVi/fj0qKirwwQcf4Oabb8aLL76IP/7xj8jLy4vbZ82aNXj22Wfx4IMP4txzz4WmaXjsscfws5/9DF/72tcYMCIiIhoAsyojX7Ug32HBxAIHglEdbWENDe1hNPqj0AwBWQIcFgV2k5Kxo49iugFFklHs5tQ+RERpocdgxPxQXRVQ7PnDfviYoaMtGkK1qwj5VlfS+/kjGvYc8+HtI23YdbQN7zX6oRuiz/3yHSZcdnZynSpP1x7RkGc3wWPlo2Oi0YafeiIiyhiapuHuu+9GZWUlbr/9dsiyDLfbjfvvvx8XXnghVq9ejf/7f/9vr2U89dRTCIVCuOOOO1BRUQEAqKmpwaJFi3Dvvffi6aefxre//e2u/G+88QbWrl2LTZs2YfLkyQAAVVVx66234q233oLdPvApBIiIiKiDJElwWFQ4LCpKPVZouoH2iIbmYMf0dY3+KIQAzKoEp1mFWc2c0UetoRiqvHZYVE7tQ0Q07LQIDC0M1VMFxZo7/Ic3DLRFgzjDVYQim6fXvC3BKHYd82HXyQDRh8cD6Ds8FM+sAHddOAGWfraTgYiOMwtdGdtJg4j6r18BI04FRERE6bB9+3bU1tbi29/+NmT50y++RUVFmDp1KjZv3oyVK1fC4eh5aH9DQ8eczp3Bok6df9fV1cWl/+IXv8BZZ53VFSw61ZNPPtnfUyEiIqIkqIqMXLsZuXYzxuc7EIrp8IU1HPdHUN8eQUsoBgCwmxTYzcqInerNEAKGAZS5ObUPEdGw0yIQegSmnLGQLe5hP7wuDLTGAhjrLEBJgmBRQ3sEu462df13oDnUr+Ocke/AtDI3zilxIydyHOeO9farnLCmw2pSkM/19ohGpZQDRpwKiIiI0mXHjh0AgOrq6m7bampqsHPnTuzZswdz5szpsYyJEyfitddew4EDBzB+/Piu9IMHDwJAXJrf78f27dtx1VVXDdIZEBER0UDYTApsJgVFLgvOKhJoj2hoC3esfXQiEIUhAFWR4DQrI2qRbl9YQ5HLDBen9iEiGl5aEEIIqDnjIfdzzaCBMISB5kgAVY58lNlyIITAkbYwdh1tOznFnA/HfOGUy1UkoKbQhWnlbkwr8+CcUjc8VhMAQNcNfPjhiX7XuS2kobrAmVVrCBJR8lL6tsqpgIiIKJ0OHDgAAAlHo3amHTx4sNeA0aJFi7B161asXr0alZWVmDBhAvbs2YPHH38ckydPxsKFC7vyfvDBBzAMAwUFBfj1r3+Np59+GnV1dXC5XJg3bx4WL14Mr7d/vbaIiIhoYGRZgsdmgsdmQmWuHVHNQFs4hhPBKOp9EbSGwpAkwGpS4DCrUNM4+igU03FO6fD3aiciGs1ELABJkmHKGQdJtQ778Q1h4HjEDznswPZjYTx27APsOupDUyCaclkmRcKkYhemlXkwrcyDySUuOMyD3wlBNwQggBKut0c0aqV0Z+FUQERElE5+vx8AYLV2/7Lfmdbe3t5rGbm5uXjyySdx33334bLLLoPJZIKu67jqqquwfPnyuLJPnOjolfWrX/0KY8eOxerVq1FeXo4dO3bgzjvvxKuvvopNmzYhN7d/c2Drug5d1/u136n/UmbI9Nct0+s/EKP53NNtoNeer9noYlZlFDgtKHBaUF3gRCDaMX1dnS+MpkAUmjCgSBLsZgV2kzJs6zIEohrcVhVeG6f2ISIaLiLqgyRboOZUQVKGL/ihGwK1zRF8UB/C3mN+HDwegz/SmHI5NpOMKSXurgDR2cWufq9HlIq2cAylHivsQxCMIqLMkNKnn1MBERFRpvvoo49w8803Iy8vD5s3b8a4cePwySefYPny5bj22muxdu1alJWVAQDC4Y6pAXw+Hx588MGuzg1z5szBbbfdhu9///v47//+b9x11139qsuHH344oHPZu3fvgPan9Mj01y3T6z8Qo/nc043XnlIlSRKcFhVOi4pSjxWabsAX0dAS7Ji+7rg/CgHArEhwmFWYh/AhnC+kY2qZC/IIXV+JiCirCAEj4oNscUJ1jYGkDG3gI6YLHGgKY199CPvqw/iwMYRwTKRcjsuiYmpZR4DoM2UeVBc40jIlXEQTqMjhentEo1lKd81snAqoP7272cs0c2X6a5fp9e+v0XreI8VArv9gv2ZOpxPAp4GcU3WmuVyuXsu4++67UVdX17WOHgBMmDABq1evxvz587Fy5UqsW7cOAGCzdXxRrqio6DYy9vzzzwcA/P3vf+93wGjixIn9mlpV13Xs3bsXkydPhqKMnPUZqHeZ/rplev0HYjSfe7oN9NoHg8EBB+cpO6iKDK/dDK/djPH5DgSjGnxhDY3+CBr8UUSDUciyBLtJgd2sQB6k0UdRzYBZlVDkGv6pkIiIRh0hICJtkK25UJ3lkIbge1skZmD/8U8DRPuPhxHTUw8Qee0mfObk6KFpZR6Mz7cPWtvTX/6IBo9VQa7NlNZ6EFF6pRQwyrapgICB9e5mT8fMlemvXabXv79G63mPFCPh+o8dOxYA0NjYfUh/Z1pVVVWP+weDQezevRslJSUJp0YtKSnBtm3bEA6HYbVaUVpaCgAJ25n8/HwAQHNzc7/OBQAURRnQw+eB7k/pkemvW6bXfyBG87mnW3+vPV8v6ondrMJuVlHstkI3BNojGlqDMdT7T44+Eh3rRTgsCqxq/99HreEYJuQ5YOLC4UREQ0sYMCJtUGz5UJxlkOTBue8GIjo+auwIEH1QH8LBpgj6ER9CicuCaeWdASI3KnNswzY1arL8ER3nlHJELNFoN+wTUo6kqYCA/vXuZi/TzJXpr12m17+/Rut5jxQDuf6D3bN7xowZeOyxx7Bv3z5ceumlcdv27dsHi8WCc845p8f9w+EwhBA9fjGXZRmGYSAYDMJqtWLixIlwOBxoamrqlrczUJSXlzeAMyIiIqJ0U2QJOTYTcmwmVOXZEdE61j5q8kdR7w+jNahBAmA1y3CYVahJPkjrXDi81M3RRUREQ0roMCI+KPYiKM6SAQVifCEN+xo+DRAdbu6YwjRVY3JtXaOHppW5UTLC24KYbkCVJRQ6R3Y9iWjopRQwyrapgICB9RRlL9PMlemvXabXv79G63mPFP25/oP9es2cOROVlZV44YUXcNttt0E+2WusoaEBu3btwuWXXw6Hw9GVv7GxEV6vF6ra0dx5vV6UlZWhrq4OdXV1KCkp6cpbX1+PY8eOobS0tGu6U7PZjC996Uv47W9/iwMHDnSNcAKArVu3AgAuvPDCQT1HIiIiSi+LqqDAqaDAaUGNcMIf0dEWjqK+PYKmQAyGMCBLHWsf2Uxyjw8m28IxlLhtcFi4cDgR0ZAxNIhoOxRnGRR7QcrBohP+WFyAqK4tlnIVJACluSpqiu24sKoY08tzkecwp1xOOrWGYqjy2od0TT8iygwpfXPNtqmAiIgos6iqilWrVuGmm27CmjVr8N3vfhfBYBArVqxAfn4+lixZ0pV3y5YtWLJkCS688EI89thjXelLly7FkiVLsGzZMjz44IMoKSlBXV0dli1bBsMwsHTp0rhj3n777fjHP/6B5cuX46c//SmKi4uxe/du/PSnP8WECRPw7//+78N2/kRERDS8JEmCy6rCZVVRnmNHTDfgC2toDkZR1x5Goz8KCMBikuEwK11TzwkhENUMVOZy4XAioiGjx2DEAlDdY6DY+l7jXAiBxvYYPqgP44P6EPbVh9Dk11I+rCwBVXkW1JTYUF1kQ1GugXy7DWd6SmCWM6+TgCEEdEOgzM02i4hSDBhxKiAiIkq32bNnY/369VizZg3mzp0LSZIwa9YsbNy4EYWFhV35cnNz4XQ640YRAcAll1wCr9eLJ554AldccQUMw4Asy5gyZQrWrVuH2bNnx+X3er3YuHEjfvKTn+ArX/kKIpEI3G43FixYgMWLF/c5spaIiIiyh0mRkecwI89hxoR8B4JRHb6IhkZ/BA3tEcR0ASEMtEUFxthMXDiciGiIGHoE0KMwecZCtnoS5xECx1qj+KC+YwTRvvoQWkN6yscyKRLGFVhQXWRDTbENEwqtsJo6Ogi0RYOwKBbUuDMzWAQAvrCGQqcFLmtm1p+IBldKdwJOBURERCPB9OnTsWHDhl7zzJ49Gzt37ky4bebMmZg5c2bSxysoKMADDzyQUh2JiIgou0mSBIdFhcOiosRthW4ItEc0NLWH0XRYwhkFjhG3oDkRUVYQOoQWhTlnPGSLsytZNwQONUdOBofC2NcQQiBipFy8RZVwRpEVNUU2VBfbMDbfknCqNl8sBJOs4Ex3KSxK5gZbQlEdk4vd6a4GEY0QKU1M2TkVUG1tLdasWQNd19He3t7jVEDz5s3DrbfeGlfG0qVLIYTAsmXLUFdXBwCoq6vD0qVLe5wKqLS0FMuXL0d9fT0AcCogIiIiIiIiGlEUWUKOzYSxeXZMLrCg0GlJd5WIiLKSUCww5UyArjqwrz6EZ/c046Hnj+E7v/wEP3j2CH694wTerg0kHSxymGVMq3Tg2vPy8IPLyvHYN8Zh2RfK8K9TvagutiUMFvljYSiShLM8pbAqmTuaNBTT4bAoGbfmEhENnZTD35wKiIiIiIiIiIiIiIaTYQjsqJOwo7EMrxxrwSdN9YjpIuVyPDYF1cU21BRZUV1sQ1muGXIKI0IDWgQGBCa5y2BTMjvQ4gtpOKvIBUXmiFgi6tCv8ZKcCoiIiIiIiIiIiIiGQzim46JfvIHXD7YAMAEIJ71vvlPtCBAV21BdZEWR29TvKUODWhS60HG2uwwONbNHkmqGACSg2J3Z50FEgytzJ9gkIiIiIiIiIiKirPfsuw0ng0V9K/GYOoJDxTZMLLIi3zk4U8aF9CgiRgyTPGVwmqyDUmY6tYZiqMyxwmpS0l0VIhpBGDAiIiIiIiIiIiKiEavIlXjqNwlAhdccFyDy2Ab/cWdYjyGkxXC2pxRuk23Qyx9uQgjEdAPlOfZ0V4WIRhgGjIiIiIiIiIiIiGjEOn9cHu67pAZPvnkIvnAA06tyUVNixxmFVjgsQztCJqJrCGgRnO0pRY45OwIs/ogOr80Mj5WPhokoHu8KRERERERERERENGJJkoTvff4MXD45Bz/7298xpyYPsiIP+XGjhga/FkaNqxi5ZseQH2+4BKIaqstz+r2WExFlr6G/sxIRERERERERERFlkJihwxcLodpVhHyrK93VGTQRzYBZVZDvSDzNHxGNbgwYEREREREREREREZ2kGTpao0Gc4SxCgdWd7uoMqrZwDFW5NpiGYYQWEWUe3hmIiIiIiIiIiIiIAGiGgdZoEBNchSi2edJdnUFlCAEhgFK3Nd1VIaIRigEjIiIiIiIiIiIiGvV0YaA1GsBYZz5KbTnprs6gawvFUOyywGHhsvZElBgDRkRERERERERERDSqGcJAcySASkceymy56a7OkAhrBsbk2tNdDSIawRgwIiIiIiIiIiIiolHLEALN0QAq7bmotHshSVK6qzToAlENbquKXJsp3VUhohGMASMiIiIiIiIiIiIalQwh0Bzxo9SWg0pHflYGiwCgPaxhbK4dspyd50dEg4MBIyIiIiIiIiIiIhp1hBBojvpRbPNgrKMAcpYGi2K6AVWWUeiypLsqRDTCMWBEREREREREREREo4o4OQ1dgcWFcc7sDRYBQFsohsocGyyqku6qENEIx4ARERERERERERERjSot0QDyzA5McBZBkbL3EakQApoBlOVY010VIsoA2Xs3JCIiIiIiIiIiIjpNSyQAj8mOM1xFUOXsfjzqi2jId5jhtprSXRUiygDZfUckIiIiIiIiIiIiOqklGoDTZEW1uxiqnP1TtAWjBsZ67emuBhFlCAaMiIiIiIiIiIiIKOu1RYNwKBZUu4phGgXBonBMh90kI89hTndViChDMGBEREREREREREREWc0XC8GiqKh2F8OiqOmuzrBoC2sY67VDkaV0V4WIMgQDRkRERERERERERJS12mNhqJKMM92lsCqjYy0fzRCQJKDYbU13VYgogzBgRERERERERERERFnJr0UAYFQFiwCgLRxDmdsKmyn7p94josHDgBERERERERERERFlnYAWgSEMnOUphV0dXev4xDQDFTm2dFeDiDIMA0ZERERERERERESUVUJaFDFDw1nuUjhVS7qrM6yCMQM5NhNybKNnRBURDQ4GjIiIiIiIiIiIiChrhPQowkYMZ3nK4DKNvjV8Qhow1muDJEnprgoRZRgGjIiIiIiIiIiIiCgrRPQYQloUZ7lL4TGNvinZfGENqgwUOEfXqCoiGhxquitARERERERERERENFBRQ4NfC+MsTxlyzPZ0V2dY+cIx+CM6PBYFNV4TTArHCRBR6hgwIiIiIiIiIiIioowWNTT4YiGc6SqB1+xId3WGjS8cQyCqI9dmxsxKN3KtCt5pq013tYgoQzFgRERERERERERERBkrZuhoi4ZQ7SpCvtWV7uoMOSEEfBENgaiOPJsZkyrdyLObIcsSdF1Pd/WIKIMxYEREREREREREREQZSTN0tEWDOMNVhCKbJ93VGVKdgaJg1ECe3YTJxW7kO8yQJCndVSOiLMGAEREREREREREREWUcXRhojQUx1lmAkiwOFgkh0BbWEIzqKHBYMKXEjjw7A0VENPgYMCIiIiIiIiIiIqKMogsDzZEAxjrzUWbLSXd1hkRnoCgU6wgUTS31wGs3MVBEREOGASMiIiIiIiIiIiLKGIYw0BINodKeh3JbbtYFUE4NFBU6GSgiouHDgBERERERERERERFlBAHgRDSASmcexji8WRVEEUKgNRRDWDNQ5LRgWpkHuTYGioho+DBgRERERERERERERBlBg44SmwdVjvysCaQYJwNFEU2g2GnGuHwHA0VElBYMGBEREREREREREdGIp0oyihQXxjoKIGdBMOXUQFGJy4xxeQ7k2s3prhYRjWIMGBEREREREREREdGI5zHbUKy6oUhyuqsyIIYQaAnGENMFil1mjM93IsdmSne1iIgYMCIiIiIiIiIiIiIaap8GigyUemwY67UzUEREIwoDRkRERERERERERERDRDcEWkIxaLqBspOBIg8DRUQ0AjFgRERERERERERERDTIOgNFui5Q5rFibJ4dbisDRUQ0cjFgRERERERERERERDRIdEOgNRSDZgiUe6yo8jJQRESZgQEjIiIiIiIiIiIiogHSDIHWYBS6ACpyrKjKdcBl5eNXIsocvGMRERERERERERER9VNnoMg4GSgaw0AREWUo3rmIiIiIiIiIiIiIUqQZAi3BKAwDqPLaUZlrg9PCx61ElLl4ByMiIiIiIiIiIiJKkmYINAeiEACqchkoIqLswTsZERERERERERERUR803UBzMAZInwaKHAwUEVEW4R2NiIiIiIiIiIiIqAeabqA5FAMAjM2zozLHBruZj1WJKPvwzkZERERERERERER0mtjJEUWyBIz1MlBERNmPdzgiIiIiIiIiIiKik04NFE3Ic6Ai1wabSUl3tYiIhhwDRkRERERERERERDTqMVBERKMdA0ZEREREREREREQ0akU1Ay2hGBRJwhn5DlTk2GBloIiIRiEGjIiIiIiIiIiIiGjUiWoGWoIxKLKE6gInyjxWBoqIaFRjwIiIiIiIiIiIiIhGjYhmoCUYhUmRUV3oRHmOFRaVgSIiIgaMiIiIiIiIiIiIKOtFNAOtoShUWcaZRS6UeRgoIiI6FQNGRERERERERERElLXCmo7WYAwmRcZZhW6Ueqwwq3K6q0VENOIwYERERERERERERERZpzNQZFEVnF3EQBERUV8YMCIiIiIiIiIiIqKsEY7paA1psKgyJhW7UeJmoIiIKBkMGBEREREREREREVHGC8V0tAY12EwyJhW7UOqxwqQwUERElCwGjIiIiIiIiIiIiChjhWI62kIdgaJzSl0odjNQRETUHwwYERERERERERERUcYJRnW0hWOwm5SOQJHLCpWBIiKifmPAiIiIiIiIiIiIiDJGMKrDH43CYVEwtdTNQBER0SBhwIiIiIiIiIiIiIgyQkwI6EJgWpkHRS4LA0VERIOIASMiIiIiIiIiIiIa8VwWFZPyzJg31guziY81iYgGG++sREREREREREREGeCtt97CmjVrsH//fsiyjFmzZmHp0qUoLi7uc9/Pfe5zCAaDUBSl2zafzwePx4N//OMfXWn/8R//gb/+9a+wWq3d8i9evBhf+9rXBnYy/WA1Kci3KVBkadiPTUQ0GjBgRERERERERERENMJt27YNN954I2688UasW7cOwWAQd9xxBxYuXIhnnnkGBQUFfZaxadMmlJeXx6UZhoGLLroIn/vc57rlX7FiBa688spBOwciIhrZOMknERERERERERHRCKZpGu6++25UVlbi9ttvh6qqcLvduP/++9HU1ITVq1f3WcZ5552XcLTQG2+8gaNHj+Lqq68eiqoTEVEGYcCIiIiIiIiIiIhoBNu+fTtqa2sxf/58yPKnj/OKioowdepUbN68GYFAoNcyfvSjHyE/P79b+jPPPIMpU6agurp60OtNRESZhQEjIiIiIiIiIiKiEWzHjh0AkDCoU1NTg0gkgj179qRcbltbG1588UUsXLhwwHUkIqLMxzWMiIiIiIiIiIiIRrADBw4AAAoLC7tt60w7ePAg5syZk1K5f/7zn6EoCi699NKE27du3Yrf//73qK2tha7rOPPMM/Gtb30L8+bNS/EM4um6Dl3X+7Xfqf9Sd7xG6cfXoG+8Rn0b6DXq734MGBEREREREREREY1gfr8fABKuQdSZ1t7ennK5zzzzDC699FI4HI6E248fP44f/OAHGD9+POrq6vDwww/jpptuwvLly3H99denfLxOH374Yb/3BYC9e/cOaP/RgNco/fga9I3XqG/DfY0YMCIiIiIiIiIiIhplPvjgA7z77rv4/ve/n3D78uXLYbfbYTKZAAAlJSV48MEH8c9//hMPP/wwvvjFL6K4uLhfx544cSLsdnvK++m6jr1792Ly5MlQFKVfx852vEbpx9egb7xGfRvoNQoGg/0KzjNgRERERERERERENII5nU4AQDgc7ratM83lcqVU5qZNmzBx4kScc845Cbd7PJ5uaYqi4MILL8S6devw2muv4eqrr07pmKeWM5CHxAPdfzTgNUo/vgZ94zXqW3+vUX+vq9yvvYiIiIiIiIiIiGhYjB07FgDQ2NjYbVtnWlVVVdLlRaNR/OlPf8JVV12Vcl0KCgoAACdOnEh5XyIiGtn6NcLorbfewpo1a7B//37IsoxZs2Zh6dKlSQ9D/fjjj7F27Vrs2rULoVAILpcLc+bMwS233JJw8b5TrV+/Hg888AC+/OUv4z//8z/7U30iIspwbIeIiChdBtIGfe5zn0MwGEzY28/n88Hj8eAf//hHV9p//Md/4K9//WvC9SoWL16Mr33tawM7GSIiyhgzZszAY489hn379uHSSy+N27Zv3z5YLJYeRwol8tJLLyEYDOLyyy9PuP3IkSN4/fXXsXDhwm7bmpqaAABerzeFMyAiokyQ8gijbdu24brrrsO0adPw2muv4bnnnkNbWxsWLlyI48eP97n/vn378JWvfAUfffQR1q9fjzfeeAOPPPIIXnnlFVx55ZW99k44fPgwfvrTn6ZaZSIiyiJsh4iIKF0G2gYBHdP/bN26Ne6/1157DQUFBfjiF7/YLf+KFSu65d+6dSuDRUREo8zMmTNRWVmJF154AYZhdKU3NDRg165dWLBgARwOR1d6Y2MjNE3rsbxnnnkG8+fPR05OTsLtR48exY9//GNEo9G4dF3X8eqrr0JVVcyZM2dgJ0VERCNOSgEjTdNw9913o7KyErfffjtUVYXb7cb999+PpqYmrF69us8ynnrqKYRCIdxxxx2oqKgAANTU1GDRokU4fvw4nn766R73vfvuu3HhhRemUmUiIsoibIeIiChdBqMNOu+88xKOFnrjjTdw9OjRfq8DQURE2U9VVaxatQq1tbVYs2YNdF1He3s7VqxYgfz8fCxZsqQr75YtWzBv3jzceuutCctqaGjA1q1b+5yOrrW1FStXrkRzczMAoLm5GStXrsQnn3yCxYsXo7y8fPBOkIiIRoSUAkbbt29HbW0t5s+fD1n+dNeioiJMnToVmzdvRiAQ6LWMhoYGAOh6SNep8++6urqE+z399NOoq6vD4sWLU6kyERFlEbZDRESULoPRBv3oRz9Cfn5+t/RnnnkGU6ZMQXV19aDXm4iIssfs2bOxfv16vP3225g7dy6+8IUvwO12Y+PGjXFTa+fm5sLpdKKkpCRhOb/73e9QXl6OWbNm9XisadOmYfXq1fD7/bj66qsxa9YszJ8/H0ePHsWjjz6KW265ZdDPj4iI0i+lNYx27NgBAAl/yNTU1GDnzp3Ys2dPr0NSJ06ciNdeew0HDhzA+PHju9IPHjwIAHFpnRoaGvDQQw9h7dq1sFgsqVSZiIiyCNshIiJKl8FogxJpa2vDiy++iLvvvntQ6klERNlt+vTp2LBhQ695Zs+ejZ07d/a4/Tvf+Q6+853v9FqG2WzGggULsGDBgn7Vk4iIMlNKI4wOHDgAAAkXBO9M63zg1pNFixahpqYGq1evxocffgjDMLBr1y48/vjjmDx5csLF9L7//e9jwYIFmD59eirVJSKiLMN2iIiI0mUw2qBE/vznP0NRlG4LmHfaunUrvvnNb+KCCy7A3LlzsWjRIrz22mspH4eIiIiIiKgvKY0w8vv9AJBw3u3OtPb29l7LyM3NxZNPPon77rsPl112GUwmE3Rdx1VXXYXly5d3K/vPf/4z9u3bh4cffjiVqvapc4HAQCAAXdf7ta/f74+bjoJGvkx/7TK9/v01Ws97pBjI9Q+Hw3FlDFS2tEMDaYNO3Z+ficyS6a9bptd/IEbzuafbQK/9YLZDg9EGJfLMM8/g0ksvjVuo/FTHjx/HD37wA4wfPx51dXV4+OGHcdNNN2H58uW4/vrrUz4e26Chx2uUfnwN+sZr1LeR1AZlk87rEQqF+rV/Z9sVDAahKMqg1Sub8BqlH1+DvvEa9W2g16jzPptqO5RSwGgwfPTRR7j55puRl5eHzZs3Y9y4cfjkk0+wfPlyXHvttVi7di3KysoAdCymd//99+M///M/4XQ6B7UekUgEAFBbW9vvMvbv3z9Y1aFhlumvXabXv79G63mPFAO5/pFIZNDv4/01EtqhwWiDAH4mMlWmv26ZXv+BGM3nnm4DvfYjqR061QcffIB3330X3//+9xNuX758Oex2O0wmEwCgpKQEDz74IP75z3/i4Ycfxhe/+EUUFxendEy2QcOH1yj9+Br0jdeob9naBqVLZzvUn1G5p/rwww8HoTbZjdco/fga9I3XqG8DvUaptkMpBYw6C+7sJXGqzjSXy9VrGXfffTfq6uqwfv36rgXGJ0yYgNWrV2P+/PlYuXIl1q1bBwC47777MG/ePFxwwQWpVDMpHo8HVVVVsFgs7E1DRDREDMNAJBKBx+MZlPKypR1iG0RENDwGsx0ajDbodJs2bcLEiRNxzjnnJNyeqN6KouDCCy/EunXr8Nprr+Hqq69O6Zhsg4iIhsdg/xbKFmyHiIiGR3/boZQCRmPHjgUANDY2dtvWmVZVVdXj/sFgELt370ZJSUnXQ7pOFRUVKCkpwbZt2xAOh2G1WvHKK6/AYrHgs5/9bFe+zqFYW7Zs6Zq7+8knn8QZZ5yRyqlAVVXk5eWltA8REaVuMHvTZUs7xDaIiGj4DFY7NNA26HTRaBR/+tOfcMstt6Rcl4KCAgDAiRMnUt6XbRAR0fDhyKLu2A4REQ2f/rRDKYXyZ8yYAQDYt29ft2379u2DxWLpsXcc0NHzTggBSZISV0aWYRgGgsEgAGDXrl3Ytm0btm7d2vXfpk2bAACXXnppV1qqwSIiIspMbIeIiChdBtoGne6ll15CMBjE5ZdfnnD7kSNH8Nvf/jbhtqamJgCA1+tN+nhERERERER9SSlgNHPmTFRWVuKFF16IWyypoaEBu3btwoIFC+IWa21sbISmaV1/e71elJWVoa6uDnV1dXFl19fX49ixYygtLeUPHyIiSojtEBERpctA26DTPfPMM5g/fz5ycnISbj969Ch+/OMfIxqNxqXruo5XX30Vqqpizpw5AzspIiIiIiKiU6QUMFJVFatWrUJtbS3WrFkDXdfR3t6OFStWID8/H0uWLOnKu2XLFsybNw+33nprXBlLly6FEALLli3relhXV1eHpUuXwjAMLF26dBBOi4iIshHbISIiSpfBaIM6NTQ0YOvWrbjqqqt6PWZraytWrlyJ5uZmAEBzczNWrlyJTz75BIsXL0Z5efngnSAREREREY16Ka1hBACzZ8/G+vXrsWbNGsydOxeSJGHWrFnYuHEjCgsLu/Ll5ubC6XSipKQkbv9LLrkEXq8XTzzxBK644goYhgFZljFlyhSsW7cOs2fPTnjcbdu24c477+y2dsTZZ5+N//7v/071NIiIKEOxHSIionQZaBvU6Xe/+x3Ky8sxa9asHo81bdo0rF69Gps3b8bVV1+NQCAATdNw1lln4dFHH8XFF1886OdHRERERESjmySEEOmuBBEREREREREREREREaVPSlPSERERERERERERERERUfZhwIiIiIiIiIiIiIiIiGiUY8CIiIiIiIiIiIiIiIholGPAiIiIiIiIiIiIiIiIaJRjwIiIiIiIiIiIiIiIiGiUY8CIiIiIiIiIiIiIiIholFPTXQGiwXLJJZfgueee6/r7F7/4BW6++eY01ig5R44cweuvvw6/349JkyZhxowZ6a4SZTld1/H++++jubkZeXl5OOussyBJUrqrRZTRMrUNAtgO0fBjO5R+oVAIu3fvxqFDh+Dz+QAAbrcbY8aMwdSpU2Gz2dJcQyLqD95fKROwDSLKTmyDsseoDBgJIbBt2zbs2LEjYQM1Y8YMzJw5E7LMAViZpL29Pe7vDRs2jJiHdc8++yzWrl2L+vp6jB8/HsuXL8f06dOxefNmfO9730M0GoUQApIk4YILLsCjjz4KVR2VH0/4fD643e50VyPjvfTSS3jttddQWlqKf//3f+9Kf+GFF3DvvfeiqampK62kpAQ//OEPMW/evHRUddRhG5SdRnIbBLAdShbboMHDdmhkOnHiBFavXo3NmzcjEokA6GiXAHT9oLdYLFiwYAGWLFmC/Pz8tNWVRi/DMLB9+3YEAgFMnjwZRUVFAIBoNIqf//zneOWVV9Da2opJkybhtttuQ3V1dZprPLx4f01OOBzGb3/7W7zzzjvIycnBF7/4RUyfPj0uz4EDB3DPPfdAkiRIkoT169enqbajA9sgygRsg3rHNig5md4GSaLz7jxK7NixA/fccw8OHTqEnk5dkiSMGTMGq1atYi/bEeIPf/hDn3nuv/9+rFixIu7vN998cwhrlZxt27bh+uuvhyzLyM3NRUtLC2w2GzZs2ICvf/3rmDx5MmbMmAFZlrFz505s3boVS5cuxY033pjuqqfF3Llz8Y9//CPd1ch4N9xwA959910sXrwY3/rWtwAAb775Jq677jpYLBZMmTIF+fn5aG5uxt69exGJRPDrX/8akyZNSnPNsxvboMyUyW0QwHYoFWyDBg/boZGnoaEBCxcuRFNTE6ZOnYqamhoUFhbCarUC6Phh29jYiH379mHXrl0oLCzEb37zm64HJZTY3/72N1xwwQXprkbW8Pv9uP766/Huu+8C6Hh4fN999+FLX/oSbrnlFrz88stx+V0uF373u9+hoqIiHdVNC95f+xYIBPC1r30NH374YVxA4sILL8R9990Hr9fble/dd9/F73//e/zhD3/A+++/n85qZzW2QUODbdDgYhvUN7ZBfcuGNmhUBYx27tyJ6667DlVVVbj44ou7GqjO4a6hUKirgXrhhRdw8OBBbNiwAdOmTUtzzammpqarx8npPVAS6ewlPRI+bDfccANyc3Pxwx/+EE6nE62trbjnnntw5MgRnH/++bj99tvj8v+///f/8Oc//zmpB5TZiA/rBsfcuXPxX//1X5g8eXJX2qJFiyBJEh566CF4PJ6udL/fj+9973uIxWL4r//6r3RUd1RgG5S5MrkNAtgOpYJt0OBhOzTy3HnnnfD5fLj//vtRWFjYa96GhgasWLECOTk5ePjhh4ephpmJ943B9cgjj+AXv/gFvvCFL6C4uBjvvvsu9uzZgwcffBArV67EXXfdhfPPPx9WqxVvvPEG7r33Xlx44YVYtWpVuqs+bHh/7duPf/xj/PKXv8Q3v/lNTJ06FZqmYffu3Xj22WdhsVjwxBNPoKqqqiv/o48+ip///Ocj5rtbNmIbNDTYBg0utkF9YxvUt2xog0ZVwOhb3/oWzj33XNx2221J5f/pT3+Kt99+G0899dQQ14z6snjxYrz00ktYsGAB5s6d2227EAIPPPBAV+9uIQT+7//9vyOid/cFF1yAv/zlL3Hz8DY3N+Ozn/0sduzYAZfLFZc/Go1izpw5eOutt4a7qoOus7dBKnbt2oW9e/cOQW1Glzlz5uD111+PS5s7dy6eeeaZhL20Wltb8cUvfhHbtm0briqOOmyDMlcmt0HA6G2H2AalF9uhkWfu3Ln4y1/+AqfTmVT+9vZ2XHLJJSk9iGpoaMCbb76JAwcOoKWlBbFYDFarFUVFRaiursZ5553X1Zs8W/TnYV1jY2PcNbLZbCgsLMSECRNgt9uHqKaZYcGCBVi8eDEuvfTSrrSHHnoImzdvxh133IF//dd/jcv/j3/8Az/84Q/x17/+NeVj6bqOtra2rtcgU6YkHa77aya/T7/4xS/izjvvxMUXXxyX7vf78cADD+CVV17BunXrUFNTA2BgD+sy9X003NgGDY3+Bowy+fM9lNgG9W04v+Nn6vt0ONsgYGjeS6NqcvqPP/4YTz75ZNL5/8//+T84//zzh65ClLSf//zn2LJlC+6//36YzWYsX7682wdg9erV+PKXvxz390ig63q3RRtdLhdUVYXFYumW32QyZc2icAcOHEBTU1OPU28lki3nnm52ux3RaBRms7krTZZl5OXlJczv8XhSep0odWyDMlcmt0HA6G2H2AalF9uhkccwDDgcjqTzOxwOGIaRVN6dO3fikUcewY4dOwAg4WspSRKsVisuu+wyfPe73x2Ra1OcOqJ0sPl8PmzYsAHPPvssamtrE+ZRFAXTpk3DV7/6VSxYsGBI6jHSnThxIu5BHQBcd911+J//+R987nOf65Z/zpw5aGlpSbr8t956C88++yy2b9+Oo0ePQtf1rm1WqxUTJ07EvHnz8JWvfAUlJSX9P5EhNJT312x5n544cQIXXXRRt3Sn04kHHngAjz/+eNf76uyzz065/Gx4Hw03tkF9G8o2CMiez/dQYhvUt6H+jp8N79OhboOAoX8vjaqAkSRJCAaDSfdoCAaDQ1wjSsWll16KOXPm4L777sOll16Ke+65B/Pnz+8x/ze+8Y1hrF3PcnNz8cILL8TVdfPmzbDZbHjppZdwySWXxOX/+9//jtzc3OGu5pC49957cd999+HZZ59NOvqfqPc+pW7WrFn41a9+heuvv74rbfLkyfjb3/6Gz3/+893y/+1vf+tzagAaGLZBmS1T2yBg9LZDbIPSi+3QyDNhwgSsWbOm2zSUPXnkkUcwYcKEPvOtWbMGjz32GMaOHYuvf/3rGDduXNeUq4qiIBaLwefzob6+Hu+99x6ef/55PP/883j00Udx3nnnDfCsBtfkyZNx5MiRpM670+7du/vM849//APLli1DS0sLJkyYgC984QsoKCiA3W7vukZtbW1oaGjA+++/jzvvvBO//OUv8bOf/WxEPtQcSonu14WFhXC73Qm/Q8mynNSIgYaGBixfvryrV7TX68X48eNhs9mgqmrXa/Dhhx9iz549eOyxx3DDDTfg9ttvhyzLAz+xQTRU99dsep/29ZotWrQITqcTN9xwAx5//PGky82m99FwYxvUt6Fqg4Ds+nwPJbZBfRvK7/jZ8j4dqjYIGMb3khhF7rjjDnHTTTeJ+vr6PvPW19eLG2+8Udxxxx3DUDNK1SuvvCIuuOACceutt4qmpiYhhBCf/exn01yrxB577DFx9tlni9tvv108/PDD4tZbbxVnn322+M1vfiOmTZsmHn30UbF9+3axY8cO8Ytf/EKcd9554r777kt3tQfN9773PfGDH/wg6fwj9XXMNMeOHRMzZswQ9913n/jwww+FEEK899574rOf/axYu3at2LVrlzh48KB46623xE9/+lNx7rnnil/+8pdprnV2YxuUPTKpDRJidLdDbIPSh+3QyPPmm2+Ks88+WyxYsED85Cc/EVu2bBFvvfWWePfdd8W7774r3nrrLbFlyxbxk5/8RFx66aXi7LPPFjt37uy1zHXr1omLL75YvPzyy0nXIxgMil/84hdixowZ4uOPPx7oaQ2q/fv3i5kzZ4ra2tqk9+nrvvH666+Lz3zmM+I///M/RWNjY1Jlvv322+KGG24Q8+fPFz6fL+m6ZINrrrlGvPrqq93SW1tbE+bfu3evWLBgQa9lHjlyRMybN09ceeWVYvPmzaKlpaXX/AcPHhSPPfaYmDVrlli8eHHSdR8uQ3F/zbb36TXXXCOee+65PvM9/fTT4rzzzhOLFi0SNTU1vebNtvfRcGMb1LehaIOEyL7P91BiG9S3ofqOn03v06Fog4QY3vfSqFrDqKGhAQsXLsSJEycwZcoUVFdX97jg+DvvvIP8/Hxs3Lgx4RyMlH5+vx8PPvggnn/+edx1111YvXr1iFzsLxwO46abbopbC+I73/kObrvtNixZsgTPPfdc3GLqZWVlePrpp+H1etNV5UHl9/txzz334K677krqs/Tqq6/iX/7lX4a+YqPAe++9hyVLlqC2thZmsxn5+floaWlBKBSKyyeEwNe+9jXcc889aarp6MA2KLtkShsEjO52iG1QerEdGnm2bduGu+++G4cPH+5x2hshBCorK7Fq1SrMmjWrx7L8fj/uvPNO3Hvvvf0aHfbSSy9hx44dWL58ecr7DqV169bh5ZdfxoYNG5LK39v6EeFwGFdccQXuvffefvVkf+ihh+Dz+XDvvfemvG+mWrNmDZ588kl885vfxPXXX99jW6TrOt577z2sXLkSU6ZM6fUaffWrX8VFF12Em266KaW6+P1+LF68GOeffz5uvPHGlPYdaoN5f83G9+kvf/lLPPjgg/j617+OL3/5y5g4cWKPef/4xz/ie9/7HgzD6HX9iGx8Hw03tkF9G8w2CMjOz/dQYhuUnMH+jp9t79OhaIOA4X0vjaqAEQA0NTXh4YcfxpYtWxCNRgEg7iEJAJjNZixYsAB33HEHCgoK0lZXSs62bdtwzz33oKmpCW+//Xa6q9OjnTt3oqGhARMnTuwaYmwYBjZt2oTXX38doVAIkydPxje+8Q3k5OSkt7KUNaLRKJ577jm89NJL+OCDD9DU1IRIJAKr1YrS0lJMmzYNV155JaZOnZruqo4KbIOyT6a0QQDbIUoPtkMjj67r2L59O7Zv346DBw/C7/cD6JhXvaqqCjNnzsTMmTOhKEqaa5oeQgj85je/wec///mkHkK2tbXB4/Ek3GYYBqLR6IAWWff7/UlPZ5sNPv74Yzz++OOQJAnf+c53UFlZmTDfT3/6Uzz22GMAgKeeegozZsxImC8YDOLdd9/t99RT4XAYu3fv7vXBdboM1v01G9+nfr8fS5YsgRACl112GS6//PJe82/ZsgX//d//jT/84Q8Jt2fz+2i4sQ3q3WC2QUB2fr6HEtug5A3md/xse58OdhsEDP97adQFjDoFAgHs2bMHBw4ciGugxo4di3POOSelxfhO1dDQgDfffBMHDhxAS0sLYrEYrFYrioqKUF1djfPOO29AHwBKLBwO491338W5556b7qqkTWNjY9z7zmazobCwEBMmTEh67YZMpus62traus799AXpaejw2qduqNoggO1QOrAN6sB2iPfCdOG1JyIiIiIiGhyjNmA02Hbu3IlHHnkEO3bsAPBpT/FTSZIEq9WKyy67DN/97ndH1IJclJl8Ph82bNiAZ599FrW1tQnzKIqCadOm4atf/SoWLFgwzDUcWm+99RaeffZZbN++HUePHoWu613brFYrJk6ciHnz5uErX/kKSkpK0ljT7MNrP/KwHaJ0YDvEe2G68NqPfG+//Tb+93//FwcOHIAQAmPGjMHXvva1HnvhjkbBYBB//vOfceDAARiGgTFjxuCyyy6Dy+VKd9VGlYMHD3a9BlVVVRg/fny6qzSi8H2aHL6PRha2Qcnh5zv9eO/oG9+nyRnM9xIDRoNgzZo1eOyxxzB27FjMmTMH48aN61qXQlEUxGIx+Hw+1NfX47333uuaX/TRRx/t91Ay+tRf/vIXvPzyyzhx4gS8Xi/+5V/+BZdeemmPc+KmixAC27Ztw44dO3Do0CH4fD4AgNvtxpgxYzBjxgzMnDkTsiwnVd4//vEPLFu2DC0tLZgwYQLGjx+PgoIC2O32rvddW1sbGhoa8P7776OxsRHTpk3Dz372s2F7SHzttdfikksuweWXX97rMOlUNTQ0YPny5Xj99dcBAF6vFwUFBbDZbFBVNe7cQ6EQVFXFDTfcgNtvvz3p65vtjhw5gtdffx1+vx+TJk1K+oszr/3IxHYofTKlDQJGXzs0VG0QwHvhYGA7NPzC4TACgQBUVY37TMRiMfz2t7/Fa6+9hubmZni9Xnz+85/HlVde2e8pgZ5++mn88Ic/xJw5czB+/HjIsowDBw5g69atWLZsGb7+9a8P1mllrN27d+Pmm2+GYRioqKiAoiiora2FYRhYu3Yt2+eTDh8+jIMHD6K9vR0A4HK5UFVVhYqKigGXffz4cdx1111d9xOgo3PN9OnT8dBDD6G4uHjAxxhqoVAIu3fvTtiuT506tWutzP7i+7Rv2fA+Gg5sg0Yefr77xjaod0PdBgF8nyZjKN5Loy5gZBgGtm/fjkAggMmTJ3ctgByNRvHzn/8cr7zyClpbWzFp0iTcdtttqK6u7rW8J598Er/61a+wfPlyXHjhhUnVIRQKYcOGDXjiiSfw61//GuPGjRvweWW7u+66Cz/60Y/i0oQQ+O53v4sXX3wxrie9JEmYO3cuHnvssREz7+2OHTtwzz334NChQwl7/QMd9R4zZgxWrVrV50OTN954A7feeisWLlyIG264Ial1Tnbt2oVHH30UR44cwaZNm4YlEj9p0iSYTCbouo6LLroICxcuHPDcq0ePHsW1116LgoIC3HjjjZgzZ06va20cOnQIf/nLX/Dkk0/i3HPPxaOPPjqg42eSZ599Fvba9XkAALUhSURBVGvXrkV9fT3Gjx+P5cuXY/r06di8eTO+973vIRqNQggBSZJwwQUX4NFHH4Wqqj2Wx2s/cIPdBgFsh4ZDprdBwOhsh4aiDQJ4L0wF26GR5Z577sHTTz+NyZMn47e//S2Ajh6b119/Pfbu3dvtXjZz5kw8/vjjMJlMKR9r/vz5+P73v4/Pfvazcel79+7F4sWL8fe//31gJzPEXnrpJbzzzjvIycnBRRdd1O3B0NGjR7veT5Ik4YEHHkj5GFdddRU+97nPYdGiRV3XWNd1/PrXv8bGjRvxpz/9aeAnkqHC4TD+53/+B5s2bUJdXV3CPMXFxbj66qtxww039Huq3VtuuQW6rmPx4sUYP348FEXBJ598gscffxw+nw9PPPHEQE5jSJ04cQKrV6/G5s2bEYlEAHw6uryz04rFYsGCBQuwZMmSfnfUGE3v07/97W+44IILUt4vk99Hw4ltUPKGow0CRtfnOxVsg/o2XG0QMHrep/1tg4CheS+NqoCR3+/H9ddfj3fffRdAx5v3vvvuw5e+9CXccsstePnll+Pyu1wu/O53v+sxcuz3+3HnnXfi3nvvTWoxutO99NJL2LFjB5YvX576yYwyc+fO7eoR3+l///d/8cADD+CKK67ARRddhIKCAjQ1NeGll17C73//e/x//9//h+uvvz49FT7Fzp07cd1116GqqgoXX3wxampqunr+Ax0PbhsbG7Fv3z688MILOHjwIDZs2IBp06YlLC8cDuOKK67Avffe269I+kMPPQSfz4d77713QOeVjLlz5+L555/H5s2b8bvf/Q67d+9GRUUFrrrqKnz5y1/u1+fmq1/9Ki666CLcdNNNKe3n9/uxePFinH/++bjxxhtTPm6m2bZtG66//nrIsozc3Fy0tLTAZrNhw4YN+P/Zu++4pq7+D+CfiOAWRQUHKmoLVAEHCCooKqBWtAriqAruDa6Ke6JFSkUsQ3BUq9hWUHHVgQP3ok7UatyIgyFDQGSf3x/+kodIQhJIQsb3/Xr19TzenHvvuTfn3k+445wxY8bA3Nwc1tbWqFatGm7duoUrV67A29u73H1D+75yZJ1BvGVSDsmfKmcQoLk5JI8MAuhcKCnKIeXj7OwMS0tLLF68mD+uWGBgIHbv3g13d3f06tULjRo1Qnp6Oq5cuYJdu3ZhypQpmD59ushluru7Y+XKlfj2228Fpnfr1g0nT54sc0MvLy8PvXr14nefqmwKCwsxffp0XL16lX/hQ0tLC6NHj4a3tzd0dHQAAJmZmTh37hzOnDmD2NhYPHr0SOQyg4KCMH36dP68PF27dsXFixfLPH3LGIOVlRVu3bol461TDVlZWXB3dweXy0WzZs1gYmICfX19/gW5vLw8fma9f/8epqamiIiIKPchhOvXrwt9YMDGxgaxsbFlxo4sKipC9+7d8e+//8p242QkOTkZI0aMwIcPH9CpUyd+rgvbR3fu3IG+vj727t3Lf1BJGGqnwn/vlaZu7UjRKIPEk0cGAXR8S4MySDx5ZBBA7VRcBgEKbktMg/z222+sffv2bN68eeyXX35hHh4erGPHjiwmJoZ17dqV7d+/n6WkpLCsrCwWExPD7Ozs2IoVK6q62oQxZmtrW2bayJEj2fbt24WW37VrF3NxcZF3tSTi7u7ONm3aJHH5wMBA5u7uLvLz4uJi9vnz50rVKTs7u1LzS+rr7+3Zs2fMz8+P2drasg4dOrDp06ez2NhYVlxcLNHyPn36xOLi4ipcn8+fP7Nr165VeH5VMmHCBDZ//nz+d52RkcG8vLyYi4sLCwwMLFN+27ZtbMiQISKXR/u+8iiDVJcqZxBjmptDss4gxuhcKA3KIeXTtWtXlpeXJzBt4MCB7MSJE0LLnz9/nn3//fflLnPJkiXMzMyM+fr6ChzX3t7ezNXVlZ08eZI9ffqUPXv2jJ05c4aNHj2azZkzp9LbIi9btmxhpqambP78+Wz37t1sx44dbPbs2czCwoINGzaMpaWlCZQPDg5mpqam5S7z+++/Z3379mVnzpwRmO7u7s5WrlwpsMyPHz+yX375hY0YMUJ2G6ViVq5cyVxcXNi9e/fElr137x5zcXFhq1atKrecubk5mzdvHktKShKY7uzszA4ePFim/NmzZ5mDg4M01Vao+fPns8mTJ7Pk5GSxZZOSktikSZPYTz/9VG45aqfCf++Vpm7tSNEog8STRwYxRse3NCiDxJNHBjFG7VRcBjGm2LakUTeMBg4cyI4dOyYwzd/fn9nb27PDhw+XKX/p0iXm6OioqOqRcgg7cLp3786ysrKEls/Ly2NdunSRah1JSUns6NGjLCgoiK1Zs4YtX76crVu3jm3bto1dvHixwhfHevToIdXFqKKiItajR48KrUvZiDrhFRUVsdOnT7MZM2awDh06sJ49e7LAwED2+vVrBddQffXq1Yvl5uYKTEtLS2OmpqZCj5v8/HxmaWmpqOppJMog1aXKGcSY5uYQZVDVohxSPvb29mWmde/enRUUFAgtX1JSwqytrcUu986dO8zV1ZXZ2tqyQ4cOMcYYy8nJYUuXLmUdOnRgpqamzNTUlLVv354tXLiQffz4sVLbIU+DBg1if//9d5npiYmJbMKECczJyYm9e/eOP12Si3WFhYVs69atrHPnzmzKlCksISGBMfblJna/fv3Yd999x7p168Z69OjB2rdvzxwdHdnjx49lu2EqpFevXiw1NVXi8snJyaxnz57llnn16hWbPHky69y5M9u2bRsrLCxkjH25kNKhQwfm7OzMZs+ezebOncuGDh3KOnToIPIitjKwtbWV6sGLrKwssRei1K2dmpiY8M890vxXHnVrR4pGGSSePDKIMfU7vuWJMkg8eWQQY+rVTuWRQYwpti2J7iRcDaWlpWHgwIEC08aNG4cdO3agb9++Zcr36NEDGRkZFV7f7du38eeff+Lly5dgjKF169YYPXq0xIP6kvLVqVNH5GufNWrUkHhwtVu3biEoKIj/WjIT0ksjh8NBzZo1MXjwYMyePVuq/jc5HA5yc3NRt25dicrn5uZKvGxR8//zzz94+fIlSkpK0Lp1awwePFghYxZJSktLC46OjnB0dERaWhoOHjyIgwcPYuvWrbCxscHOnTsrvOxXr17xt93IyAjt2rWTYc1VR3FxcZljoF69eqhevTpq1KhRpry2tja/r9mKon1fPkVnEEA5JE+qkkG8+SmH/keeGQTQuZCHckj5NG3aFM+fPxfYL40aNUJmZqbQccg+fvwo0XfSqVMn7N+/H3v37oWvry8iIyOxcuVK/Pzzz1i6dCkSExMBAIaGhhKfh6rK+/fv4ebmVma6oaEhtm/fDh8fH4wZMwYRERFo0aKFRMusXr06pkyZgh9++AF+fn4YNGgQJk6ciOnTp+PEiRO4fPkyXr16BcYYjIyMYGdnp1Rj4ClaYWGhVDmnr6+PoqKicsu0bt0a27Ztw5kzZ7B+/XocOHAAK1euRN++fXHixAlERkbi1atX/K5bAgMDYWRkVMktkZ+SkpIy3c6Up06dOigpKSm3jLq1U3Nzc7x58wbffPONxPPcvXu33M/VrR0pGmWQePLIIED9jm95ogwSTx4ZBKhXO5VHBgEKbksVus2kovr06SN0enlPLUhyF1SYqKgo1qFDBzZlyhTm5+fH/P392YwZM5iFhQXbs2dPhZapyYR9D15eXiK7Fnn69CkbOHCg2OVu2rSJmZqasu+//56tXbuW/fnnn+z06dPs8uXL7Nq1a+zixYvsn3/+Ydu3b2fz589n1tbWzNraWqouUXiva379yqAwvNc158+fL/HyS7tz5w6ztrZmVlZWzMXFhbm5ufH/XZluXCpK2uPn9u3bbPny5RVaV0pKCpswYQIzMTHh/2dqasrGjh3L3r9/X6FlqrJBgwaxmJgYgWkHDx5kXbt2ZcePHy9T/vz588zJyalC66J9LxlFZhBjlEOypMoZxJjm5pAiM4gxOhd+jXJI+Rw4cIC5uLiwlJQU/rQtW7YwT0/PMm+DZWdnM09PT6m77klPT2fLly9nHTp0YGvXrlVYN8iyIsnT7Bs2bGC9e/dmCQkJEj/dXdq1a9eYs7Mz69OnT5ljhDA2fPhwtnfvXonL7927l7m5uUlcPi8vj/3222/MwsKCeXl5qeQ5wt3dXWjXnqKI62pWGFVvp8+ePWM2NjZSvT0sze8GdWhHikYZJJ4iMogx1T++5YkySDxFZBBjqt1O5Z1BjMm/LXEYE/Ioq5oaNWoUZsyYAXt7e4HpHz9+hK6ubpnyDx48wOLFi/HPP/9Iva5+/fph1apVsLW1FZh+//59zJo1CxcvXpR6mZqsY8eOZZ7MT0hIQFJSEo4dO8Z/grW4uBhcLhcrV67Ed999V+6A2n/88Qf++usvLFmyBH369JGoHp8/f0ZERAR+//13/P3332jbtq3YeXgDwqWlpcHCwoI/aJ6wwcbj4+PRuHFjREZGih0QThg3Nzf07dsXU6ZMgba2NoAv++Tvv/9GZGQkjh49KvUyK0OSQdtkZebMmSguLsasWbPQrl07aGlp4cWLF9i2bRuysrLw+++/K6QeymLLli0IDg6Gk5MTDA0N8erVK5w7dw4rVqzAL7/8gkmTJqFr167gcDi4c+cOtm/fjiFDhmDZsmVSr4v2vWQUmUEA5ZAsqXIGAZqbQ4rMIIDOhV+jHFJOixYtQkxMDHr16gUzMzM0bNgQGzduRHFxMczNzdGwYUOkpaXh3r170NbWxr59+9CqVSup1xMfH4+1a9fi7du3WLBgAVxdXeWwNbLn6uoKb29vdO/evdxyQUFBOHDgAKysrHD8+HGxA45/rbi4GLt27UJoaCg6deqE5cuXo02bNpWputo4e/YsZs2ahZ49e6Jfv34wMTGBgYGBwGDaycnJ4HK5iImJwZUrVxAaGir0be3yJCYm4ueff8aNGzcwffp0TJw4kZ9byu7mzZsYP348jIyM4OjoWG6unz59GgkJCdi9eze6dOki1XpUvZ3u3LkTsbGxiIiIkKh8RX43qHI7qgqUQeVTVAYBqn98ywtlkHiKyiBAtdupIjIIkGNbkuntJyW3adMm1qlTJxYQEFBmsLjSioqKWHx8PPvhhx/EPmk6duxY9uTJkzLTbWxsWEZGRpnpnz9/Zl27dpW67pouOjpa5H+lB04MDg7mP1l648YNkcvLzs5mU6dOlWiQNmHOnDnDfH19JS6fmprKFi1axMzNzQWefDU1NeX/29zcnC1evFjgiRtRfvvtN5afn19mupWVVZmncxj70v+vtONpyAJvOydPniyzZYp6ot/a2prl5OSUmV5YWMisrKxktn5V8fnzZzZmzBiBp615g97PnTu3TBvs27dvuedFxmjfV5Y8MogxyiFFUPUMYkwzc0geGcQYnQslRTmkvKKioli/fv3430Hp74g3bdKkSezFixcSLe/Nmzdsy5YtbM2aNWzLli3s7du3jLEvx/3evXuZjY0NGzlyJPvvv//kuVkyER4ezmxsbFhERITYJzXDwsL4+0uc4uJidufOHXbixAl2584d/rhySUlJbP78+czc3Jxt2LBB6PlTE/HeRiyvn38TExPWtWtXoYM8l+fr88zZs2eZo6Mj69evH7t48aIMt0K+rl27xhwdHcsdJ8HExIQ5OTmJPHd+Td3aaUlJCfvrr78k/r2VmZkp8bLVpR1VBcog0eSVQYyp3/EtT5RB4skjgxhTr3YqzwxiTP5tSaPeMHr+/Dm2bdsGDoeDGTNmiHxSYdOmTQgPDwcA7N69u9yxHpYuXYqjR49i9OjR8PLy4veJunDhQjx//hxTp05Fu3btwOFw8OrVK+zYsQNNmjTBpk2bZL59RPl9+vQJ9+7dw8uXL5GTkwMAqFu3Ltq0aYOOHTtK3A/owIEDkZ+fj6VLl8LBwYE/3cPDA23atMGcOXOgp6cHAMjKykJ4eDhu3bqFyMhI2W+UgllYWMDR0RGLFi0SePp90KBBmDx5MoYOHSpQPjY2Fr6+vjhz5oyCa6ocbt26heTkZBgbG/P7Ty0pKcH+/ftx9epVfP78Gebm5hg7diwaNGhQ7rJo31eOPDIIoBwi0qEcqjw6F0qHckh5PX36FI8ePUJaWhry8vJQq1YtNG/eHB07dpT4DcOrV69i+vTpaNy4MfT19ZGUlISMjAz+mGDAlzdpAwICEB0djeHDh2Pu3LlC36xVBunp6Rg7diwYYxg9ejTc3d3LLb9jxw6EhYXh33//FVkmMTERM2bMwLNnz/jTvvnmG4SHh8PQ0BAAEBcXh7Vr1yI7OxuLFi3C999/L5sNUmHZ2dk4ceIE4uLi8OrVK2RnZwP4MhaakZERbGxsMGDAAInGx/v8+TPWr1+Pw4cPo6CgADo6Ohg6dCiWLFmCmjVroqCgAFu3bsW2bdvQs2dPLF26FM2bN5f3JlZacXExbty4gRs3buDVq1cCuc7bRzY2NhKN8UDtVDx1bUdVhTKoLHlkEEDHd0VQBoknywwCqJ1KQpFtSaNuGMnL3bt3sXbtWiQnJ8Pb2xtDhgzBp0+f4Ovri8OHD6O4uBgAUK1aNQwaNAjLli1D/fr1q7jWRJUVFRVh586dCAsLg5WVFZYvX45WrVrh+fPnmDlzJhITE6Grq4tq1aohMzMTzZs3R0hICExMTKq66pWWkJCAdevW4datW5g5cybGjx+P6tWrIzY2FrNnz+YPcl2tWjW8evUKT58+xYYNGzBgwICqrrrKo32vvCiHiKJRDtG5sCrQvlc+rq6uGD9+PH744Qf+tL/++guHDh1CVFSUQNkHDx7Ax8cHr1+/xvXr1xVd1SozefJkNG/eHNOmTUOTJk3w/v17hIaG8m+m8xQXFyMiIgIhISEwMzPDH3/8UXWVVjMrV67EgwcP4O7uzv8Odu/eDRsbGyxfvpxfLjExEb6+vrh27RqmTJmCWbNmVWGtFYvaqXjUjpQPZZBk6PiuWnTukAy1U/EU2ZbohpGMMMawd+9ebNq0Ce3atcPKlSthamqKT58+ITExEQBgaGjIf/KbKLfbt2/jzz//xMuXL8EYQ+vWrTF69GixT/orWnJyMvz8/HD27FlMnDgR06dPh46ODi5fvoxXr16BMQYjIyPY2dlJfFdflhISEtC6dWu5LPvMmTNYv349dHR0sHLlSnTv3h2JiYmIjIzkb3vr1q0xYsQIGBkZyaUOmor2vXKiHFIfqpJBgHLnkDwzCKBzYVWifa88evTogatXrwpMKygoQO/evctM59m/fz/c3NwUUT2lIKxP+ry8PDg6Ogrtqz41NRW//vor/P39FVVFtdenTx/8888/Am/RpqamYuTIkYiNjS1T/sKFC/D19UVMTIwiq1mlqJ2KR+1I+VAGSYaO76pF5w7JUDsVT5FtiW4YyVhGRgY2btyIgwcPYtSoUZg7dy5dnFMx+/btw5o1a9CjRw/+U6ovX77ElStXsHDhQowZM0bqZZaUlODGjRv49OkTzM3N+a9YFxQUIDQ0FOfOnUNmZibMzMwwZ84cqZ/Avn79OtatW4fc3FwsXrwY/fr1k7qO8mBqagpTU1MMHz4cP/zwg0Sv60ojPz8fW7Zswe+//w57e3ssXboUTZs2lek6VB1jDNevX0dcXBwSEhKQlZUFAKhfvz5at24Na2tr2NjYoFq1alItl/a98qIcUm3yyCBAM3NI3hkE0LlQEpRDyq+goAARERGIjY1FWloa9PT00Lt3b7i7u/MHMBZl1KhR6Nu3LyZMmABtbW3k5+cjJCQEd+/elXiQX3X3/fffY+3atbCysuJPi42NxaZNm3DkyJEqrJlyKy4uxsePH/ndm/Lcvn0bFy5cQE5ODszNzeHs7Cx2cOe+ffsiMjISTZo04U978eIFpk6dKrLLSl5XL8ooLy8Pnz59QvXq1QW61iosLERUVBQuXbqE9PR06OnpwcHBAa6urmIf2lDXdnr27FnEx8ejQYMGcHR0RMuWLQU+f/v2LUJCQgAAHA4Hvr6+Ipelbu1IWVAGyZ+6Ht/yRBkkmjwyCFDPdirLDAIU25Y07obRhw8fsG3bNsTHx0NXVxcDBgzA4MGDBRrvkydPMH36dHA4HHA4nAr1ex4fH4+1a9fi7du3WLBgAVxdXWW5GUQCHh4e2L17t9Tz9evXD6tWrYKtra3A9Pv372PWrFm4ePGiVMvLycnB+PHj8fDhQwBAjRo1sG7dOgwaNAgzZ84scxe4Xr16iI6OLnMiEae4uBi7du1CaGgoOnXqhOXLl6NNmzZSLUPWLC0t4eDggFOnTgEA+vfvj+HDhwsEgCwkJibi559/xo0bNzB9+nRMnDhRbGhrgri4OKxcuRIJCQkQdarncDho3bo1fHx8KvT2Au176SgqgwDKoaqmLBkEaG4OKSqDADoXikI5pFyEnZcKCgrg4eGBu3fvlinfvn17/Pnnn+VesHv48CEmT56MT58+oUGDBsjIyEDdunWxc+dOmJqaynoTlBKXyy33JvuRI0ewZMkSWFpaQl9fH+/fv8edO3ewYcMGDBw4UIE1VR3h4eHYunUrPn/+jIYNG2L58uUYOHAgdu7ciV9//RUlJSUAvpw/2rdvj4iICNSuXVvk8gICAnDs2DG4urrCwMAA7969w4EDBzBs2DDMmTNHUZslMytXrsS+fftgbm7O73YrNzcX48ePx/379wXOtxwOBzY2Nti2bVu550Z1a6eFhYWYPn06rl69yt8fWlpaGD16NLy9vfkXzzIzM3Hu3DmcOXMGsbGxePTokchlqls7UjTKIPkQl0GA+h3f8kYZVD55ZBCgXu1UHhkEKLYtadQNo7S0NAwbNgxJSUn8abwDPCAggN9lRWFhIVJSUvDHH39gz549Yr+wt2/f4tixY0hKSkLTpk0xaNAgNG/eHIwxREVFITAwEEZGRli1ahW+++47eW4iKUXY64ylubu7Y+XKlfj2228Fpnfr1g0nT54sM/ByXl4eevXqhbi4OKnqERQUhC1btqB///5o2rQpHj58iHv37sHf3x/Lly/HokWL0KtXL9SsWRPXrl3D2rVr0adPH/j4+JS73JKSEsTHx/PbnYWFBapVq4bk5GT4+/vj9OnTGDduHGbOnCn2yRx54X0HOTk5+OeffxAdHY34+Hh+NzEuLi5lntiQBu+pBZ7Y2FisX78e1apVw/Lly9GzZ09ZbIZKunXrFsaNGwcjIyM4OTnB1NQU+vr6/Lbw+fNnpKSkgMvl4tSpU3j16hUiIiLQuXNniZZP+1568soggHJIGSlLBgGam0PyziCAzoXloRxSPsLOS+Hh4diyZQumTJkCR0dHNGnSBB8+fMDZs2exdetWTJgwAV5eXuUuNycnB7GxsUhOTkbTpk3Rp08fjXqzVdz5HgBu3ryJw4cP88+XQ4cOhaWlpYJqqFpiYmIwZ84cNG7cGM2bN8ebN2+QnZ2NrVu3Ytq0aRg0aBCsra3B4XBw69YtREdHY9KkSZg3b57IZRYXF2Pr1q04dOgQ/ztwcXHBlClTqqTb7spydnaGpaUlFi9ezL9IGRgYiN27d8Pd3R29evVCo0aNkJ6ejitXrmDXrl2YMmUKpk+fXu5y1amdbt26FYGBgRg4cCA6deqEoqIi3L17F+fPn8e3336LrVu3CmRISEgIQkNDy/3drW7tSNEog+RDkgwC1Ov4lifKIPHklUGA+rRTeWQQoOC2xDTI6tWrWY8ePdjevXvZ48eP2YMHD9iePXvYoEGDmLW1Nbt586ZA+eDgYGZqalruMq9cucLMzc1Znz592MiRI5m9vT2zsLBg169f55fJzMxkK1asYB06dGCrV69mmZmZctk+dRYcHCz1f507dy53mUuWLGFmZmbM19eXZWdn86d7e3szV1dXdvLkSfb06VP27NkzdubMGTZ69Gg2Z84cqes+cOBAduzYMYFp/v7+zN7enh0+fLhM+UuXLjFHR8dyl/n69Wvm7OzMTExM+P85OzuzxMREfpkbN26wQYMGMXt7e3b8+HGp6y0Ltra2ZaY9efKErV+/nvXo0YN16NCBeXp6sosXL0q8zNzcXLZixQpmYWHBTE1NmYWFBVu5ciX7/PkzY4yx/Px8FhwczCwsLNisWbPY27dvZbY9qsTd3Z1t2rRJ4vKBgYHM3d293DK07ytHHhnEGOWQIqhyBjGmuTkkjwxijM6FkqIcUj7CjgkXFxd28OBBoeWPHj3KnJ2d5Vwr1Sdsv5KK+/HHH5mfnx8rLi5mjDFWWFjI1qxZw5ycnNiePXvKlD948CD7/vvvFV3NKtW1a1eWl5cnMG3gwIHsxIkTQsufP39e4/bRoEGD2N9//11memJiIpswYQJzcnJi796940+X9Hc3qTjKIPmgDJItyiDxKIPEU4cM0qg3jPr27Qs/P78y3V0UFxcjPDwc27dvR3BwMOzs7ABIdofP1dUV48ePxw8//MCf9tdff+HQoUP8V/N4Hjx4AB8fH7x+/RrXr1+X4ZapPwsLCxQWForszkQYDocj9u7s3bt3sXbtWiQnJ8Pb2xtDhgzBp0+f4Ovri8OHD6O4uBgAUK1aNQwaNAjLli1D/fr1pap7t27dynzfKSkpsLe3x7///lvm6ZeSkhJYW1vj5s2bIpc5efJkNG/eHNOmTUOTJk3w/v17hIaGIisrC+Hh4fxyxcXFiIiIQEhICMzMzPDHH39IVffKKu9pl6KiIpw7dw4HDhzA5cuX0aRJEwwbNgyurq5o3ry5yGWuXLkSDx48gLu7O3/bd+/eDRsbGyxfvpxfLjExEb6+vrh27RqmTJmCWbNmyXz7lJmtrS0uXbok8ZgQxcXF6NWrF65cuSKyDO37ypFHBgGUQ4qgyhkEaG4OySODADoXSopySPkIOyZ69OiBs2fPCn0LsLCwEN27dy/3XCBsnsTERGRnZwP40sVly5YtVaabQAcHB6nnSUpK4nf5SSqvZ8+eiI2NFWgzOTk5sLGxwc2bN8u01eLiYv5nmqJ37944f/68wLQePXrgwoULQo81xhi6deuGGzduKKiGVc/KygrXr19H9erVy3xWUlICHx8fXLx4EREREWjRooXEv7tJxVEGiUcZVPUog8SjDBJPHTKobM3V2KdPn4T2ja6lpYVZs2bByMgIc+bMwcaNG2Fvby/RMpOSkgQu0gGAm5sbf9Cq0szMzBAVFYX9+/dXbAM02OzZs/H333/D19cXHA5HbHnGGGbPni22XKdOnbB//37s3bsXvr6+iIyMxMqVK/Hzzz9j6dKlSExMBAAYGhpW+LVmYX2Z6uvro379+kKXWa1aNdSsWbPcZT5+/Bjbt2/n/5vX97+jo6NAOS0tLYwfPx7Ozs749ddfK1R/ealevTqcnJzg5OSEDx8+IDo6GgcPHsTmzZvx33//iZzv0qVL+Oeff1CnTh3+tN69e2PkyJECF4tatmyJsLAwXLhwAb6+vhp3sYjD4SA3N1fidpubmyu2DO37ypFHBgGUQ4qgyhkEUA4JU9EMAuhcKCnKIdVQr149kQPhamtriz0X8Bw+fBhRUVG4d+8e/2Y3j5aWFjp16oThw4fjhx9+kOg8WlW0tbWRkpJSpltQWUhMTER0dDTi4uKQkJCArKwsAED9+vXRunVr2NjYwMXFRerx49RNSUlJmQss2traMmk3jDFcv35d5HdgbW0NGxsbiW90V5WmTZvi+fPnaNeuHX9ao0aNkJmZKTAQNs/Hjx8l3n/q0k61tLSEXqgDvvzOWb16NQICAjB27Fjs2rVLqmWrSztSBpRBguSZQYD6HN/yRBkknjwzCFCPdirPDAIU05Y06oYRh8NBUVGRyC/N2dkZtWrVwk8//QR/f3+JltmqVSt+36ra2trIz89HSEiIwIHzNTc3twrVX5NNmjQJZ86cwbNnzzBmzBiJ5pH0KRIOh4Mff/wRAwYMwMaNG+Hm5oZRo0Zh7ty5MhkoUV9fHxcuXChzAZg3CPfXHjx4IPYHQr169XDz5k2BgbuvXr0qciyGJk2aSNymq0Ljxo0xdepUTJ06Fbdv3y63LO8CVOmLRdnZ2SJPhPb29ujevbtM66sKbGxsMG/ePKxbtw4GBgbllk1OTsayZcvQrVu3csvRvq8ceWQQQDmkCKqcQQDlkDjSZBBA50JJUQ6phi5duuDcuXNlbvYCX96CFDfOV0FBAWbMmIErV66gevXqaNOmDfT19fkX+fLy8pCSkoK7d+/i1q1bOHr0KDZv3izyAmFV8/Pzg6enJ/bv3y/xGGe8N4PLExYWhtDQUBQVFQEQvBD68eNH3Lp1C7du3cLWrVvh6ekpUT//6srAwAB//vknxo4dy5+2a9cuNGrUCAcPHsTo0aMFyv/zzz9izzEAEBcXh5UrVyIhIUHkG8Ph4eH8ByCEPeSjLEaMGAFvb29s2bKFf3Fu8ODB8PHxgb+/v8AT8Dk5OVixYoXY8yugXu20RYsWuHbtWrkZ8NNPP0FbWxvu7u4Cv2fKo07tSBlQBgmSVwYB6nV8yxNlkHjyyiBAfdqpvDIIUFxb0qgbRqampti7d6/Agf+1vn37YuPGjZg3b16ZgaiFWbFiBSZPnoyQkBA0aNAAGRkZqFu3Lnbu3CnLqms8DocDPz8/TJ48GY6OjhKdkIcNGybVOho2bIi1a9di+PDhWLt2Lfr164cFCxbA1dW1otUGAHTv3h1z586Fu7s7xo8fzw9+XV1dgXLFxcX477//sHz5crEDPs+YMQPjxo2DpaUl9PX18f79e9y5cwcbNmyoVF1lLS8vD4cOHYKBgYHEF2y6dOlS7ufOzs4YOXIkXF1dYWBggHfv3uHAgQPlft/K+oNQnhYuXIgRI0bAwcEBFhYWMDExETnYeHx8PBo3bozIyMhyl0n7vnLkkUEA5ZAiqHIGAZqbQ/LIIIDOhZKiHFI+mZmZ8PDwEJiWlpaG2NhYdOvWjf82WEZGBm7evAl/f3/06dOn3GWGhITg5cuXCAwMhIODg8j9XVBQgDNnzmDDhg0IDQ0td3DoqtSpUye4uLhg9erVCAoKksky9+/fj9DQUAwfPhz9+vWDqakpGjZsKFAmIyMDXC4XJ0+eRGhoKPT19WVy/ldFw4cPx5o1a3DkyBEYGhri1atXePLkCQIDAzF37lw8ePAAXbt2BYfDwe3bt3Hw4EFMnjy53GXeunULEydOhJGREaZPnw5TU1OR56NTp05h4sSJiIiIEJuFVcXV1RU3btyAk5MTevXqBTMzMzRs2BA3b96Evb09zM3N0bBhQ6SlpeHevXvQ1tbGvn37yl2murXT/v37Y968efD09ISjoyOaNm0qtNzs2bOho6ODTZs2iX0CXt3akaJRBoknjwwC1O/4lifKIPHkkUGAerVTeWQQoNi2pFFjGB06dAiLFy+Gk5MTxo0bV+4dvGvXrmHmzJnIy8sT24dgTk4OYmNjkZycjKZNm6JPnz6V6jqGKM7bt29x7NgxJCUloWnTphg0aBCaN28OxhiioqIQGBgIIyMjrFq1Ct99912F1vH8+XNs27YNHA4HM2bMQKtWrYSW27RpE3/ch927d4u9C3zz5k0cPnyYX/ehQ4fC0tKyQnWUlyVLlgAATExMMH78eJkss7i4GFu3bsWhQ4f42+7i4oIpU6ZAS0tLJutQFx8+fMCGDRtw/PhxFBQUAAA/hHinfh0dHTg7O2P+/PlCXx8ujfZ95cgrgwDKIVWliAwCNDeH5JFBAJ0LpUE5pFzi4uJEfta5c2f+m5G7du3id48RHByMDh06iJyvb9++2LlzJ1q3bi1RHV6+fIlJkyYhNjZWiporVkFBAYKCguDu7i7RAwKPHz8u943QH374AfPmzRN74ZPn3Llz2LhxI44ePSpxndVJcXExlixZgiNHjgD4co5YunQpRo0ahV9++QU7d+4UOI906NABe/bsEToGCo+HhwcsLS0xZ84cieqwadMm3L59G7t37678BsnRvn37sH37diQkJIDD4ZR50pjD4cDW1hbLli1DmzZtyl2WurXT9PR0jB07FowxjB49Gu7u7uWW37FjB8LCwvDvv/+KLKOu7UhRKIMkI+sMAtTv+JYnyiDJyTKDAPVqp/LIIECxbUmjbhgVFBTA19cXjDH07t1bbCO8efMmdu7cidDQUAXVkCjS1atXMX36dDRu3Bj6+vpISkpCRkYGtm7dChsbGwBfXnkMCAhAdHQ0hg8fjrlz55Z5IpsQZffp0yfcu3cPL1++RE5ODgCgbt26aNOmDTp27CjQtQ+RH8ogUhplENEklEPqy9bWFleuXJH7PKqM9lHFJCcnIzk5GUZGRqhfvz5/+tWrV3HlyhV8/vwZ5ubmGDRokNhuYG1tbXHp0iWJ+/IvLi5Gr169VOY7ePr0KR49eoS0tDTk5eWhVq1aaN68OTp27CjRBWeA2qkk1L0dqSJqt5Kh/SQ9yiDJySKDAGqnklBkW9KoLul0dHSwevVqictbWVlJ1Y8gABQWFiIxMRHZ2dkAvvTx37JlS4nHMiCKs2HDBqxbt05gsPi//voLAQEBiIqKAvClux4fHx+MGDECPj4+6N+/P65fv15VVSakQurUqYMePXqgR48eVV0VjaaIDAIoh1QFZRDRJJRD6qtRo0Y4d+6cVE+DSjoug7qoUaMGEhISpHoCnrpS/DKOhLALTRU5l/DGP5P07evc3Fypll/Vvv32W4m7MhaF2ql46t6OVBFlkGTo+JYeZZDkZJFBALVTSSiyLWnUDSN5Onz4MKKionDv3j0UFxcLfKalpYVOnTph+PDh+OGHHyTql5DIX1JSksCFOuDLQPAhISFlypqZmSEqKgr79+9XVPUkkpiYiOjoaMTFxSEhIQFZWVkAgPr166N169awsbGBi4sLWrZsWcU1LSs5ORmXLl1Ceno6GjZsCFtbWzRv3lzi+RljuH79ushtt7a2ho2NjcR33onkaN8rJ8oh1aIOGQSobg5VNoMAOhdWJdr3ysPDwwOzZ8/GsGHD0L9/f5iYmJS5GJeens7vbz46OlqqhyfUgbOzMyZMmIAFCxbAwcEBNWrUEFouPz8fZ8+exYYNGzB48GAF11K92djYYN68eVi3bp3Yp52Tk5OxbNkyiQfoVhfUTsWjdqR8KIMkQ8d31aJzh2SonYqnyLakUV3S8WRkZODRo0fQ1dUV2h9qZmYmzp8/z//30KFDRS6roKAAM2bMwJUrV1C9enW0adMG+vr6qFmzJoAvAy6npKTg5cuXKC4uhq2tLTZv3qxxd0GrApfLhYmJicjPR40ahb59+2LChAnQ1tZGfn4+QkJCcPfuXURERMi0Lh8+fMC2bdsQHx8PXV1dDBgwAIMHDxbob//JkyeYPn06OBwOOBwOzpw5U+4yw8LCEBoaiqKiIgCAtra2QLsrLCwEAFSvXh2enp6YPn26TLdJEnv37sWoUaPKTN+1axcCAgJQWFgIxhg4HA60tLTg5eWFadOmiV1uXFwcVq5ciYSEhDL9pPJwOBy0bt0aPj4+YsfhUFclJSW4ceMGPn36BHNzc36gFBQUIDQ0FOfOnUNmZibMzMwwZ86cco8XHtr3lSfLDAIoh5SVMmUQoJk5JK8MAuhcKCnKIeXn6+uLpUuXivy3JEJDQxEWFsZ/WEFLS4v/R35+fr7A9JkzZ2LmzJkyqr1q+DqnW7duLTSnExISUFxcjB49eiAsLEzjc1qWv5eSk5MxYsQIpKWlwcLCAiYmJiIHiY6Pj0fjxo0RGRkpVVc6yqCgoAARERGIjY1FWloa9PT00Lt3b7i7u5c7vgZvXk1vp+J+u2lKO1IkyiDFoONbepRB0qtMBvHm1+R2Ki6DAMW2JY27YRQWFobNmzfzL260atUK3t7ecHR05Jd5+/YtQkJC8OjRI3C53HIHHN+4cSP++ecfeHt7w8HBQWRDLSgowJkzZ/h3QOfNmyfbDSNl2NnZ4fLlyyI/f/jwISZPnoxPnz6hQYMGyMjIQN26dbFz506xgwZKIy0tDcOGDUNSUhJ/GofDQfv27REQEAAjIyMAX7qRSklJwR9//IE9e/aU2+7279+P1atXY/jw4ejXrx9MTU3RsGFDgTIZGRn8J2kOHDiANWvWwNXVVWbbJQlh38Hly5cxefJkGBkZoU+fPmjSpAlSU1Nx/vx5vHr1CiEhIXBwcBC5zFu3bmHcuHEwMjKCk5MTTE1NRZ4gT506hVevXiEiIgKdO3eW67Yqm5ycHIwfPx4PHz4E8OX13nXr1mHQoEGYOXNmmYE+69Wrh+jo6HLfAqB9X3myziCAckhZKUsGAZqbQ/LIIIDOhZKiHFINXx8n4s5dorx+/RoHDhxAXFwcXr16JdAtqpGREaytreHq6ipxNyOqJDAwUGymlpSU4NChQ4iKisL9+/eFvglsYWGBESNGYMiQIRr/dpw8fi99+PABGzZswPHjx1FQUAAAAgOXA1+6D3Z2dsb8+fPRpEkTeWyaTHh4eJQZwLqgoAAeHh64e/dumfLt27fHn3/+KfaCnaa3U0nOf+rUjpQBZVDlSZJBAB3f0qAMKp+8MgjQ7HYq6flPUW1Jo24YnTx5EnPnzkWzZs1gZmaGwsJCPHz4EB8+fMCPP/6IFStWCHTTExwcjM2bN5d74Pft2xc7d+6Uqo/FSZMmlfkjmcieJAdbTk4OYmNjkZycjKZNm6JPnz4S9wUpqTVr1uDUqVOYPXs2OnXqhKKiIty9exd79+5FSkoKNm/eDEtLS375kJAQhIaGltvufvjhB8ybN0+qvno3btyIo0ePVnp7pCHsO5g6dSrq168Pf39/gZN7SUkJli1bhvfv3+OPP/4QuUwPDw9YWlpizpw5EtVh06ZNuH37dplAU3dBQUHYsmUL+vfvj6ZNm+Lhw4e4d+8e/P39sXz5cixatAi9evVCzZo1ce3aNaxduxZ9+vSBj4+PyGXSvq8ceWQQQDmkrJQlgwDNzSF5ZBBA50JJUQ6pBlldrNNk0u6zgoICvH79WuCCZqtWrdTmCdnKktfvJZ5Pnz7h3r17ePnyJXJycgAAdevWRZs2bdCxY0fUqVNHLtslS8LaXHh4OLZs2YIpU6bA0dERTZo0wYcPH3D27Fls3boVEyZMgJeXl8Tr0MR2Ks2xrA7tSBlQBlVeRfaZJh7fkqIMEk8RGQRoXjuV9liWd1vSqDGM9uzZg2HDhmHNmjWoXv3LppeUlODEiRPw8/NDcnIyAgMD+Y1PkjEe8vPzpXpKoU2bNsjPz6/YBmgwcU/7CpORkSG2TN26dcuMISFrFy5cQGBgoECXKB06dMCoUaMQHh6OyZMnIzg4GHZ2dhIvMy0tTeKLdADQp08fLF++XKp6y8vjx4+xb9++Mk8CVKtWDd7e3hgwYEC58z9//lzsxbzSvLy80KtXr4pUVaXFxMTg119/xcCBA/nTfv31V/j6+mL58uUC7b5fv36oXbs21qxZU+4yad9XjjwyCKAcUgRVziCAcqi0ymYQQOdCSVEOEVX077//Sj0Pr/tNSeno6OCbb76Rej2aQl6/l3jq1KlToUHLld2pU6ewatUqgW6RGjZsiG+//RaGhoYIDw+X6mKdqrdTef1241HXdkSqliIyCFD941ueKIMqRtYZBKh2O5V3BgHyb0sadcPoyZMnCA8P5x/0wJcLBM7OzujWrRumTZuGWbNmITQ0VOI7lo0aNcK5c+ekesL260H4iHja2tpISUlBgwYN5LaOwsJCJCYmCty9btmyJbS1tSu13E+fPgntP19LSwuzZs2CkZER5syZg40bN8Le3l6iZdaoUQMJCQlSvVGgLHfhq1WrJrL/TD09PYHxNIThcDjIzc2V+Cn83NxcqeuoDtLS0gQu0gHAuHHjsGPHDvTt27dM+R49eogNKNr3lSOPDAIohxRBlTMIoBwqrbIZBNC5UFKUQ0QVubu7S33xh8iWvH4vqbukpCT0799f6Gf9+/fH6tWrFVuhKqaI326EyBplUNWjDKoYyiBB6pBBGnXDiMPhiPwDs1GjRoiIiMC0adMwffp0hIWFSbRMDw8PzJ49G8OGDUP//v1hYmJS5kJceno6vw//6OhojTtQZMHPzw+enp7Yv3+/xBc6JX1S+vDhw4iKisK9e/eE9o/ZqVMnDB8+HD/88EOFwpvD4aCoqEggcEpzdnZGrVq18NNPP8Hf31+iZTo7O2PChAlYsGABHBwc+IM6fi0/Px9nz57lj1miDFq2bIlXr17xx8woLT09XexrkzY2Npg3bx7WrVsnduC25ORkLFu2DN26datMlVVS7dq1y0zT19dH/fr1hZ4Hq1Wrxh9MUBTa95UjjwwCKIcUQZUzCKAcKq2yGQTQuVBSlEPkawUFBXBzc4OhoSE2b95c1dURaujQoYiLi5N4vDXGGHbu3CnTOqxbtw7NmjXDpEmTZLpcVSGv30vSOHXqFBo2bIiuXbvKZfnyUK9ePZEXL7W1tcWeX6Wl7O1Unr/dJKWK7UidUQZJTtmPb3miDKoYRWcQoNztVBkyCKhcW9KoG0YNGjQQeZEAAGrVqoVt27Zh5syZmDJlCszMzMQu083NDcnJyQgLC0NkZCSALxd4eBdO8vPz+ReAtLS0MHPmTAwbNkw2G6RBOnXqBBcXF6xevRpBQUEyWWZBQQFmzJiBK1euoHr16mjTpg309fX5J7K8vDykpKTg7t27uHXrFo4ePYrNmzdL/RSBqakp9u7di7Fjx4os07dvX2zcuBHz5s3Dt99+K3aZXl5e+O+//zB//nxUr14drVu3Flr3hIQEFBcXo0ePHvD09JSq3rKQl5eHQ4cOCUwzMDDA6tWr8fvvvws8yV1UVAR/f3+xg70vXLgQI0aMgIODAywsLGBiYiJywOv4+Hg0btyYf2xqEn19fVy4cKHM2wKnTp0SWv7Bgwdin36gfV858sgggHJIEVQ5gwDNzSF5ZBBA50JJUQ6Rr+Xk5ODZs2dIS0ur6qqItGzZMgwePBhWVlYS32yUZRtLTk7Gnj17ULt2baW8AKII8vq9JKnU1FTMmTMH9evXx40bN2S6bHnq0qULzp07JzAoO8/du3dl+na5KrRTefx2k4aqtiN1RhkkGVU4vuWJMqhiFJlBgPK306rOIKDybUmjbhj17NkTCxYsgK+vL4yNjYWWqVGjBsLCwuDl5SXxALmzZs3C4MGDceDAAcTFxeHVq1cCXcoYGRnB2toarq6uUo0zQQR5eXkhKCgIycnJYp8qBYDt27eX+3lISAhevnyJwMBAODg4iLwIV1BQgDNnzmDDhg0IDQ3FvHnzpKr30KFDsXjxYty4cQPjxo2DlZWV0HK9evVCSEgIZs6cKXaZOjo62LZtGw4dOoSoqCjcv38fz58/FyijpaUFCwsLjBgxAkOGDCkzXoMiODk5lTkxaWtro1mzZsjNzUW9evUAAPv27UNAQAA+fvyIgICAcpdpYGCAAwcOYMOGDTh+/Dhu374N4H99xzLGAHzZR4MHD8b8+fPRpEkTWW+a0uvevTvmzp0Ld3d3jB8/nh/Qurq6AuWKi4vx33//Yfny5ejcuXO5y6R9XznyyiCAckgRVDWDAM3NIXlkEEDnQklRDpGv6enp4c8//+Qfe8qoXr168PHxwbJly3D06FGhb8p9rU2bNjJbv4GBARYsWIDGjRvLbJmqRp6/lyShp6cHOzs7NGvWTKbLlaXMzEx4eHgITEtLS0NsbCy6devGfzo+IyMDN2/ehL+/v1TjDoqjKu1U1r/dpKEK7UjTUAZJRlWOb3mhDBKvqjMIUI12WpUZBFS+LXEY7y8rDfDs2TMMGjQIHA4Hs2bNKvdJ18LCQsybNw9nz57Fo0ePFFhLoih9+/bFzp07pRp/YdKkSYiNjZVqPQUFBfD19QVjDL179xZ7orx58yZ27tyJ0NBQqdbx+vVrgQvErVq1Upk+Vd++fYu3b98C+HInXtJ6f/r0Cffu3cPLly+Rk5MD4Msg8m3atEHHjh0l6lpIXT1//hzbtm0Dh8PBjBkz0KpVK6HlNm3ahPDwcADA7t27hY5zIgzte+lRBpHSFJVBAOWQOBXNIIDOheWhHFINdnZ2uHz5ssh/a6rnz5/DwMBA4vGyiOzQ7yXx4uLiRH7WuXNn/viHu3btwq5duwAAwcHB6NChg0LqR4ikKIOEowyqOpRB4lEGaQaNumEEfOmfvqSkBLVr1xZ7t764uBhPnz6VqHsSonpsbW1x5coVuc9DCCE8lEGEhzKIEKIM6GIdUUb0e4kQzUAZRJQRZRAhGtYlHQCp+k3U0tKig16NNWrUCOfOnZP41chz587JvN9NQohmoQwiPJRBhBB1l5ycjEuXLiE9PR0NGzaEra0tmjdvXtXVqnKJiYlCu45t2bJlFddMedDvpapH7VQy+fn5AvuIN4YoqXqUQaLR8V0+yiDlQO1UMvLKIY27YVSVCgoK4ObmBkNDQ2zevLmqq6PxPDw8MHv2bAwbNgz9+/eHiYlJmWBIT08Hl8vFyZMnER0djdWrV1d4fRkZGXj06BF0dXWFvoqZmZmJ8+fP8/89dOjQCq/ra+vWrUOzZs2UZjC4goICREREIDY2FmlpadDT00Pv3r3h7u7OH7haVk6dOoWGDRuia9euMl0uEY/2vfKhHFIeis4ggHKIR5EZBNC5sCrRvhevadOm5f5bnL1792LUqFFlpu/atQsBAQEoLCwEYwwcDgdaWlrw8vLCtGnTKlVnVZSXl4cdO3Zg//79eP/+vdAyTZs2xfDhwzFx4kTUrFlTwTXUTBkZGQgODhbIA3t7e3h5eWnk+GfUTiVz8+ZNREVFIS4uDsnJyQKfGRgYwMbGBsOHDxc5ZiT5H8ogxaHjW/lQBpVF7VQyisghjeuS7mu+vr5YunSpyH/LUnp6Ouzs7NCwYUPqUkYBAgMDxQ4OHhoairCwMBQXFwP48nQA725sfn6+wPSZM2dKNBC4MGFhYdi8eTOKiooAAK1atYK3tzccHR35Zd6+fYuQkBA8evQIXC5XZn2gJicnw97eHrVr1+YPDq0oHh4eZQYBLCgogIeHB+7evVumfPv27fHnn3/K7IJdamoqevXqhfr165cZ+FwTfPjwAdu2bUN8fDx0dXUxYMAADB48GFpaWvwyT548wfTp08HhcMDhcHDmzBmZrFvT972kFJlBAOWQIilTBgGamUNVnUEAnQsph9SfsO6DLl++jMmTJ8PIyAh9+vRBkyZNkJqaivPnz+PVq1cICQmBg4NDFdVYepXN6qysLLi7u4PL5aJZs2YwMTGBvr4+/yJHXl4eUlJSwOVy8f79e5iamiIiIkKpB2ZXtMp+B/369cOpU6cEpmVlZWH48OFISEgAANSqVQufP38GADRv3hz79+9XqTd7qZ1WnrjfbowxrFixAgcOHABjDLVr10aTJk34vxs+f/6M1NRU5ObmgsPhwM3NDT4+PuBwOIraBI1DGSQZOr4rhzJIPGqnlSfJ9QOF5hDTcLa2tuX+W9Zu377Nnj59Ktd1kC8k/S4TEhLYxo0b2ahRo1i3bt1Yhw4dWIcOHVi3bt3YqFGj2MaNG9mrV68qXI8TJ04wExMT1rt3b+bp6cmmTZvG7OzsmKmpKVuzZg0rKSkRKB8UFMRMTU0rvD5htm3bxg4ePCjTZUpC2HcQFhbGOnXqxEJDQxmXy2Xp6ensyZMnLCwsjHXu3JkFBQXJbP1FRUVs8uTJbMWKFTJbpqr48OEDs7e3ZyYmJvz/TE1NmaurK3v58iW/XEFBAXvz5g1bt26dTNudJu97aSg6gxijHFIUZckgxjQ3h6o6gxjT7HMh5ZDyuXTpksyXKew4mzJlCvvpp59YcXGxwPTi4mK2ePFiNm7cOJnXQ54qm9UrV65kLi4u7N69e2LL3rt3j7m4uLBVq1ZJtQ51V9nvQFj5DRs2sG7durFDhw6xnJwcxhhjnz59YkeOHGG2trbM19e34hWuAtROK0/cPtu2bRvr2rUr27ZtG3v9+rXIcq9fv2Zbt25lXbt2Zdu3b5d1NVUWZVDFyOLvRTq+K4cySDxqp5UnyT5TZA5Rl3QK1rlz56qugkr6999/pZ6nsLBQonKtWrUSexe3Mvbs2YNhw4ZhzZo1qF79yyFXUlKCEydOwM/PD8nJyQgMDISOjg4AyOUJpMmTJ8t8mRV16tQprFq1SqCro4YNG+Lbb7+FoaEhwsPD4eXlJZN1aWlpYdu2bTJZlqoJCQlBYWEh1qxZg06dOqGoqAh3797F3r17MXLkSGzevBmWlpbQ1tZGixYtoKurK9P1a/K+V3aUQ9JT5QwCKIdKU2QGAZp9LqQcUj6LFy9WyGDijx8/xr59+1CtWjWB6dWqVYO3tzcGDBgg9zook/Pnz+PAgQNo3Lix2LIWFhYIDw+Hm5tbpbshJeU7f/48fH19BcYSrF27NgYPHowGDRpg7dq1WLJkSRXWULHUrZ3K47fb/v37sW3bNnTs2LHcci1btsSUKVNgbW2NhQsXKkV3vMqAMqjqqNvxrQ4og8pSp3Yqr+sHiswhumFEVIK7u7vKvsr95MkThIeH8y/SAV9+rDg7O6Nbt26YNm0aZs2ahdDQUP7FOnWWlJSE/v37C/2sf//+SnmyV0UXLlxAYGAgrK2t+dM6dOiAUaNGITw8HJMnT0ZwcDDs7OyqsJaEqAZVziCAcqg0yiDFoRxSPp8+fUJISIjU83l6ekpVvlq1ajAwMBD6mZ6enkCXhJqgsLBQoosfPPr6+vzuQ4n8pKenw9bWVuhntra2yMjIUHCNqpa6tVN5/HbLzs4We5GutI4dOyInJ0emdVBllEFVR92Ob3VAGVSWOrVTeV0/UGQO0Q0johKGDh2KuLg4uLq6SlSeMYadO3fKuVaS4XA4qFu3rtDPGjVqhIiICEybNg3Tp09HWFhYhdaRmJiIV69eITs7GwBQr149GBkZoWXLlhWut7zUq1dP5AVJbW1tjR20TtY+ffokcJGOR0tLC7NmzYKRkRHmzJmDjRs3wt7evsLryc/PF2h3vPFXCFEnqpxBAOVQaZRBikM5pHxKSkrw9u1bseWys7MRGxsLxhj09fWlvljXsmVLvHr1CkZGRmU+S09PR506daRanqozNDREZGQkRo4cKVH5yMhItGjRQs61IuW91cjhcDQuD9Stncrjt1vdunURHx8PCwsLiZZ59+5dkb+/NBFlUNVRt+NbHVAGlaVO7VRe1w8UmUN0w6gKcLlcmJiYVHU1VMqyZcswePBgWFlZoVu3bhLNExkZKbP1FxQUwM3NDYaGhti8ebNU8zZo0EDkDxbgy+B227Ztw8yZMzFlyhSYmZlJtNy8vDzs2LED+/fvx/v374WWadq0KYYPH46JEycqTeB06dIF586dExhonefu3bsVHtgvIyMDwcHBiI2NRVpaGvT09GBvbw8vLy80adKkstVWORwOB0VFRQJvFJTm7OyMWrVq4aeffoK/v79Uy7558yaioqIQFxeH5ORkgc8MDAxgY2OD4cOHw8rKqsL1J/JFOSQdVc4ggHKoNHllEEA59DXKIeVTr149rF+/vtwyt2/fhre3N0pKSmBvby+2fF5eHg4dOiQwzcDAAKtXr8bvv/8u8CR3UVER/P39YWpqWuFtUEW8tzjPnDmDfv36wcTEBAYGBgKDOCcnJ4PL5SImJgZXrlxBaGhoFdda/fXo0QNHjhyBm5tbmc8uX76scedtdWun8vjtNnz4cEyePBlTpkxB//790apVK6HlXr9+jZMnT2L79u2YNm2a1HVXV5RBVUfdjm91QBlUljq1U3ldP1BkDtENoyowadIkhfTdqk7q1asHHx8fLFu2DEePHkXt2rXFztOmTRuZrT8nJwfPnj1DWlqa1PP27NkTCxYsgK+vL4yNjYWWqVGjBsLCwuDl5YXdu3eLXWZWVhbc3d3B5XLRrFkz2NvbQ19fX+BEmpKSAi6Xi6CgIJw6dQoRERGoV6+e1PWvjMzMTHh4eAhMS0tLQ2xsLLp168a/052RkYGbN2/C399foA9XYfr164dTp04JTMvKysKoUaOQkJAA4MvFz+TkZERFReHy5cvYv39/pS4CqiJTU1Ps3bsXY8eOFVmmb9++2LhxI+bNm4dvv/1W7DIZY1ixYgUOHDgAxhhq166NVq1aoVatWgCAz58/IzU1FYcPH+b/+PHx8VHprrzUFeWQdFQ5gwDNzSF5ZBBAOSQpyiHls2DBApGfMcYQGhqK8PBwAMCiRYswYcIEsct0cnLCjRs3BKZpa2ujWbNmyM3N5R/z+/btQ0BAAD5+/IiAgIBKbIXqcXBwgJ+fH3x9fcvNXsYY6tevj/Xr16Nv374KrKH6S09Ph4ODg8C0z58/Y9++fXBycuI/6f369WvExsYiPDxc4iec1YW6tVN5/HabNGkSXrx4gYCAAGzcuBE1a9ZEkyZNBH77pKamIi8vD4wxDBs2DBMnTpTJ9qgDyqCqo27Ht6qhDJKMOrVTeV0/UGQO0Q0jojJ69eqFrVu3oqSkRKLyERERMlu3np4e/vzzzwpd6Bo1ahT27NmDIUOGYNasWSJfqdbR0UFISAjmzZuHs2fPlrvMgIAAaGlpISoqSuyriPHx8Vi9ejUCAgIUPjbDjh07RH5WusuYI0eOYNeuXQCAIUOGlLvM3NzcMtO2bduGrKws/PLLL3B0dESdOnWQm5uLs2fP4pdffsGWLVs0bsDAoUOHYvHixbhx4wbGjRsn8inrXr16ISQkBDNnzhS7zN9//x2nTp3CTz/9hP79+4vsaioxMREnT57Etm3bYGRkRAO9ErWgqhkEaG4OySODAMohSVEOKZ+hQ4cKnf7u3TssWLAAd+7cQcuWLbFx40aJ3zQU9/Q3T48ePdC6dWsAQKdOnSSaR50MHToUDg4OOHHiBOLi4oR24WljY4MBAwYo/AEvTXD69GmRn9WvX5///2/duoWzZ8/i22+/FXm8qDN1a6ey/u3G4XDg6+uLIUOGICoqCv/++y9ev34tUEZfXx8ODg4YMWKE0G5ZNRllUNVSt+NblVAGSU6d2qk8rh8oMoc4jDFW4bnVgJ2dncCdy6//Lc7Xd4klkZSUhIcPH0o9H1Fd6enpKCkpQe3atcXeWS4uLsbTp0/LfVXa3t4eBw4ckHhAuJSUFLi5ueHixYtS1VsZCTtGBw8ejPnz5wt9MvzSpUtYu3ZtmafB1V1BQQF8fX3BGEPv3r3FPjV/8+ZN7Ny5s9xXegcMGIBffvlF4kH27t27h4ULFyImJkaqumuSymYQQDlEJEM5JDuUQ5KhHFINx48fx+rVq5GVlQVnZ2esWbOGxtz4iiyymlQOfQfi0T6qGp8/fxa4mMl745VIhjJIPDq2qx59B+LRPqo68sohesOokrS1tZGSkoIGDRpUdVWIEpOmGxotLS2x/eoWFhZKfJEO+HKHuaioSOLyqiY9PR22trZCP7O1tUVGRoaCa1T1dHR0pHqS38rKSuxYD9nZ2RJfpAOAjh07IicnR+LypGIoh4gkKIfki3KoLMoh5ZabmwsfHx8cPnwYNWvWxLp164T2o1+enJwceHh4ICAgoELdcEZGRuLevXvw9fWVel5CCFEGtWrVoptEFUAZRAghsiGvHKIbRpXk5+cHT09Pqfqmt7Ozk3OtSGUlJyfj0qVLSE9PR8OGDWFra4vmzZtXdbX4DA0NERkZKXG/ppGRkWjRooWca1V1eH2+CsPhcJRioHV1ULduXcTHx4vtforn7t279ISYAlAOqR9lzyCAcuhrlEOKQTkkG/fv38eCBQuQkJAAY2NjBAYGol27dlIvp27dupgwYQLGjh2LOXPmwNXVFdWri//zMjU1FeHh4YiJicGBAwcqsgmEEAVShd8lVSExMVFod0miukslX1AGEUKkRTkknDxzSONvGDVt2rTcf4vTqVMnuLi4YPXq1QgKCpJl1YgYvr6+WLp0qch/i7N3716MGjWqzPRdu3YhICAAhYWFYIyBw+FAS0sLXl5emDZtmlLUfdq0aZg1axbOnDmDfv36wcTEBAYGBgIDnSUnJ4PL5SImJgZXrlwpt4sXRarstgvTo0cP/uDWX7t8+TKaNGlSqeWrsoyMDDx69Ai6urro0KFDmc8zMzNx/vx5/r/L6yt3+PDhmDx5MqZMmYL+/fujVatWQsu9fv0aJ0+exPbt22V2zKirymYQQDlUVVQ5g4TVV1NySB4ZBFAOlYdySLls2bIFwcHBKCoqwqhRo7B06VLo6OiILL9y5Ur4+PiI/Hzw4MH4/Pkz1q5di40bN8LKygpt27ZF48aNUatWLVSvXh1FRUX4+PEjkpKSwOVycffuXejr62PHjh0wMDCQx2bKlCyyWlpcLhcmJiZyX4+qkMV38OzZM2zatAnx8fHQ1dXFgAEDMG7cOIGbyg8ePICbmxs4HA44HA7++++/StddUSq7j6r6d4kiyOI3QF5eHnbs2IH9+/fj/fv3Qss0bdoUw4cPx8SJE+mBka9QBkmvKjIIoBwqjTJIPFnsI3XPIVn9HaqoHNL4MYxkoaCgAEFBQXB3d5cocB4/fiy2qxciXmX7yBRW/vLly5g8eTKMjIzQp08fNGnSBKmpqTh//jxevXqFkJCQCo0XIuu6A8ChQ4fg6+vLv5MsDGMM9evXx9KlS5Vm0LzKbnv79u3RrFkzgWmfP3/Gp0+fcPHiRf5T3q9fv0ZsbCzCw8MxcuRIzJs3TzYboELCwsKwefNmfjdQrVq1gre3NxwdHfll3r59i5CQEDx69AhcLhePHj0SuTzGGJYtW4bo6Gj+E/NNmjQRuECcmpqKvLw8MMYwbNgwrFu3DhwOR74bSiiHqoAqZ5As6g+oZg7JYrsphyRHOaRcPDw88O+//6J+/fpYt24dnJycxM4j6THy4sULhIWF4fTp08jLywMAgf3O+5NTX18fI0aMwMSJE8WOp6bJqO9/2Xr9+jVcXV3LdFHZrFkzbNiwAZaWlgLTg4ODsXnz5nLPR+qmqn+XKEJlfwNkZWXB3d0dXC4XzZo1g4mJCfT19QUyKCUlBVwuF+/fv4epqSkiIiKUfmB2RaEMUi2UQ7JDGSQZdc8hWfwdqsgc0qg3jC5fviyXbnh0dHSwYMECicvTRTrltXv3bgwaNAj+/v6oVq0af7q3tzeWLVuGiIgIpTkZDR06FA4ODjhx4gTi4uKEvoZoY2ODAQMGqNWP1NOnT4v8rH79+vz/f+vWLZw9exbffvutUlykVLSTJ0/it99+Q7NmzWBmZobCwkI8fPgQXl5e+PHHH7FixQpwOBy0aNEC69evR3BwMLhcbrnL5HA48PX1xZAhQxAVFYV///0Xr1+/Fiijr68PBwcHjBgxAtbW1vLcRJUjrwwCKIfUhSplEEA5JAzl0P9QDimfuLg4AF8unPn5+cHPz6/c8owxicffatu2LX799VcUFBTg/v37ePHiBTIzM1FYWIhatWpBX18fJiYm+Oabbyq9HfIkz6wmkpHHdxAaGopGjRph06ZN6NSpE4qKinDv3j1ERERgwoQJ8Pf3x4ABA/jllf0ms6Laqar9LpG3gIAAaGlpISoqSmzXqPHx8Vi9ejUCAgKkGs9PnVEGiUcZVPUog8RTZDulHBKkyBzSqBtGixcvpjvkpFyPHz/Gvn37BE5EAFCtWjV4e3sLnMSVQb169TBixAiMGDGiqquiMJKOgeHi4gIXFxc510Z57dmzB8OGDcOaNWv4fTmXlJTgxIkT8PPzQ3JyMgIDA/ldAEjzo8TGxgY2NjYAvjxVX/oCMQ36KhplEBFH1TIIoBwqD+UQ5ZCy0dXVRXBwsMTlGWOYPXu2VOvQ0dGBpaVlmadlVYU8sroiFzIkvUiqjuTxHVy7dg1bt24VeGDG3t4e9vb2OHToEBYvXozc3Fy4urrKdL3yoqjflKr4u0Sezp8/jwMHDqBx48Ziy1pYWCA8PBxubm50w+j/UQaJJ69jm3JIcpRB4inyugblkCBF5pBG3TD69OkTQkJCpJ7P09NT6PScnBx4eHggICAAbdq0kXq5kZGRuHfvHnx9faWel8hHtWrVRHbnpKenBy0tLQXXiJCKefLkCcLDwwUG/qxWrRqcnZ3RrVs3/vgjoaGh5fYbLU6tWrXo4pyEZJ1BAOWQuqEMIuqEckj5aGtrS/3Wlba2tpxqo5zkkdXa2tpISUlBgwYNKlEzzSGP7yA/P1/k29VDhw6FoaEhZs6cieLiYgwfPlzqdSuaPPaRMPS7RFBhYaFEF+l49PX1+V2yEsogScjr2KYckhxlkHiKyiCAcuhriswhjbphVFJSgrdv34otl52djdjYWDDGoK+vL7JR161bFxMmTMDYsWMxZ84cuLq6CvxRLEpqairCw8MRExODAwcOSL0dRH5atmyJV69ewcjIqMxn6enpqFOnjuIrRUgFcDgcgQEUS2vUqBEiIiIwbdo0TJ8+HWFhYRVaR2JiotAuqFq2bFnheqszWWcQQDmkbiiDiDqhHFI+Z86cUcg8qkweWe3n5wdPT0/s378fenp6EtVDk7skksd3UL16deTl5Ykc+NnKygrbt2/HlClTVOICvzz2kTD0u0SQoaEhIiMjMXLkSInKR0ZGSvxWsiagDBJPXsc25ZDkKIPEU1QGAZRDX1NkDmnUDaN69eph/fr15Za5ffs2vL29UVJSAnt7e7HlBw8ejM+fP2Pt2rXYuHEjrKys0LZtWzRu3Bi1atVC9erVUVRUhI8fPyIpKQlcLhd3796Fvr4+duzYIdHg5EQ+8vLycOjQIYFpBgYGWL16NX7//XeBO9VFRUXw9/dX6XE/uFwuTExMqroaMvHs2TNs2rQJ8fHx0NXVxYABAzBu3DiBC1MPHjyAm5sbOBwOOBwO/vvvvyqsseI1aNBAZLACX57I3rZtG2bOnIkpU6bAzMxMouXm5eVhx44d2L9/P96/fy+0TNOmTTF8+HBMnDhR5I8iTSSPDAIoh1SVpmUQQDlEOSSIckjxKrIvNG3/ySOrO3XqBBcXF6xevRpBQUGyrK5aksd3YG5ujs2bN2P+/Pkiy1hYWGDnzp2YNGmSxBdUq4o89pEm/i6RFu/N2DNnzqBfv34wMTGBgYGBwGDjycnJ4HK5iImJwZUrVxAaGlrFtVYelEHiyevvRcohyVEGiSevdko5JJ4ic0ijbhiVNyA4YwyhoaEIDw8HACxatAgTJkyQaLkjRoyAlZUVwsLCcPr0af5TEKX7YmeMAfjyOti0adMwceJE1K5du6KbQmTAyckJN27cEJimra2NZs2aITc3lz9A9759+xAQEICPHz8iICCgKqoqE5MmTVKL8VNev36NUaNGIScnBwCQkpKCp0+fYv/+/diwYQO/v2IzMzM8fvwYwcHB2Lx5c1VWuUr07NkTCxYsgK+vL4yNjYWWqVGjBsLCwuDl5YXdu3eLXWZWVhbc3d3B5XLRrFkz2NvbQ19fXyCcUlJSwOVyERQUhFOnTiEiIkKtBruvDHllEEA5pIo0LYMAyiFNQzlEVJG8strLywtBQUFITk6W6EGN7du3S1ZhNSSP72DYsGHw8vLC5cuX4enpib59+wot1759e/zxxx9S/QarCvLYR5r4u0RaDg4O8PPzg6+vb7m/ZxhjqF+/PtavXy+yrREijDz/XqQckgxlkHjyaqeUQ+IpMoc06obR0KFDhU5/9+4dFixYgDt37qBly5bYuHGjxE858rRt2xa//vorCgoKcP/+fbx48QKZmZkoLCxErVq1oK+vDxMTE3zzzTcy2BIiC5Lc4QaAHj16oHXr1gC+PJlBqlZoaCgaNWqETZs2oVOnTigqKsK9e/cQERGBCRMmwN/fX2DgO2kG0VYno0aNwp49ezBkyBDMmjVL5Ou/Ojo6CAkJwbx583D27NlylxkQEAAtLS1ERUXBwsKi3LLx8fFYvXo1AgICaKDX/yfPDAIoh1QNZZDqohySDOUQUUXyymodHZ1yL7B8TdOemC1NHt9B37598dNPP4ExBl1d3XLLmpiYICIiApGRkdJWXWHksY/od4lkhg4dCgcHB5w4cQJxcXFCu0W1sbHBgAED6GEFIjV5/r1IOSQZyiDx5NVOKYcko6gc0qgbRsIcP34cq1evRlZWFpydnbFmzRqR/a1LQkdHB5aWlvynS4nqa9GihdL1Pezg4CD1PBkZGXKoieJdu3YNW7duFfgBY29vD3t7exw6dAiLFy9Gbm4uXF1dq7CWVe+bb77B1atXUVJSIvYtEm1tbfz22294+vRpueXOnz+PAwcOSDTInoWFBcLDw+Hm5kYX6soh6wwCKIfUjTJmEEA5RDkkHuUQURfyyGoincp+B1paWpgyZYrE5du1a4elS5dWpKpVRlHtVFl/lyhSvXr1MGLECIwYMaKqq0I0AGVQ1aMMEk+R7ZRySDE5VE1uS1Zyubm5WLx4MX766ScUFhZi3bp1CAgIoBOvhsjJyYGrqytevnxZofkjIyOr9ASura2NjIwMMMYk/k9d5Ofni3zaZejQodi+fTv8/Pywb98+BddM+ejp6aFx48YSdTumpaUl9imiwsJCiS7S8ejr66vEoI1VgTJIs6l6BgGUQ5RDkqEcIqpMFlmtDuf7qkTfgXi0jwhRT7L6e5GO74qj86t41E7Vl0a+YXT//n0sWLAACQkJMDY2RmBgINq1a1fV1SJSatq0abn/Lk/dunUxYcIEjB07FnPmzIGrqyuqVxd/OKSmpiI8PBwxMTE4cOCA1HUWVVdp6g4Afn5+8PT0xP79+yUeEM/Ozk6qdchLZbe9evXqyMvLEzkAppWVFbZv344pU6bQRSIZMzQ0RGRkJEaOHClR+cjISI1/8kMYyiD1oMoZBGhuDlV2uwHKoapEOUQURVZZrQzne1VF34F4tI+kI4vfAIQogiz/XtSU41vW6PwqHrVT6ahaBnGYOj3yKYEtW7YgODgYRUVFGDVqFJYuXQodHR2R5VeuXAkfHx8F1pAoUlRUFNauXYs6derAysoKbdu2RePGjVGrVi1Ur14dRUVF+PjxI5KSksDlcnH37l3o6+sjLCxM5ADOihIQEICEhAQEBQVJVN7Ozk4tBhufPn06jI2NMX/+/HLL/ffff5g0aRL09PTw4sULPHr0SEE1VF6+vr4CT118/W9xzp49i1mzZqFnz57o168fTExMYGBgIDDYeHJyMrhcLmJiYnDlyhWEhobSYK+lUAaR0lQ5gwDKIcoh6VEOEVUgj6xW9fO9otF3IB7tI9XA5XJhYmJS1dUgKkRefy/S8S05Or+KR+1UdVQ0hzTqhpGHhwf+/fdf1K9fH+vWrYOTk5PYedTl4oaqu3z5styeTH7x4gXCwsJw+vRp5OXlARAcoJp3iOjr62PEiBGYOHGiRF2r8Mir7gUFBQgKCoK7uzsMDAzEln/8+LHCBy6Ux7afPn0aXl5eaN++PTw9Pcu9CMTlcjFhwgRkZGTQhTqUPZ9V5Px26NAh+Pr68gfVE4Yxhvr162Pp0qUiB0TURJRBqkuVMwjQ3ByS13ZTDlUc5RBRdvLMakWc79UBfQfi0T4ST56/3aRBv+WJNOT996K6HN/yROdX8aidiqcsGQRUPIc06oYR7yJF/fr1Ua9ePbHlGWNITk7Gw4cP5V01IoYifmgVFBTg/v37ePHiBTIzM1FYWIhatWpBX18fJiYm+Oabbyq0XE3+kSiPbS8uLsaOHTvAGIOlpSUsLS3LLf/8+XPqz/T/yeJCHQBkZ2fjxIkTiIuLw6tXr/gX7erVqwcjIyPY2NhgwIABEp1nNQllkOpS5QwCNDeH5LXdlEMVRzlElJ0islqe53t1QN+BeLSPxFOW3z7KUg+iGhT196KqH9/yROdX8aidiqdM5366YSQBGxsbBAcHS1yeMYbZs2fjxo0bcqwVkUTnzp0xadIkqefz9PSUQ22ko8p1ryxN3nZlJKsLdaRiKINUl6qfy1S9/hWlqdutzCiHiLKjrK569B2IR/tIPHn8BnBwcJB6eUlJSfTwF5EYHdtVj74D8WgfiSevv0MVmUPiR5BSI9ra2rC2tpZ6HlL1SkpK8PbtW7HlsrOzERsbC8YY9PX1leKij6zrnpOTAw8PDwQEBKBNmzZS1ycyMhL37t2Dr6+v1PNKS5O3nZCvUQapLlXOIEBzz8Xy+N5UZdsJIRVDWV316DsQj/aRePL4DaCtrY2UlBQ0aNBAhjUl5H/o2K569B2IR/tIPHldP1BoDjEN8vnzZ4XMQ2TP1tZWbJlbt26xvn37MhMTEzZ16lSWlpamgJqJJ4+6HzlyhPXo0YNFRkaywsJCieqRkpLCfHx8mK2tLUtKSpJonsrS5G1XRl9/H5J8P0R2KINUlypnEGOaey6W1/emCtuurCiHiLKjrK569B2IR/tIPHn8Brhz5w6ztbWV6jce5RyRBh3bVY++A/FoH4knr79DFZlDGvWGUc2aNRUyD5G9BQsWiPyMMYbQ0FCEh4cDABYtWoQJEyYoqmpiyaPugwcPxufPn7F27Vps3LgRVlZWaNu2LRo3boxatWqhevXqKCoqwsePH5GUlAQul4u7d+9CX18fO3bskGhwclnQ5G0nX3C5XJiYmFR1NZQCZZDqUuUMAjT3XCyv700Vtp38D+UQkQZlddWj70A82kfiyeM3QKdOneDi4oLVq1cjKChIZnUlhIeO7apH34F4tI/Ek9ffoYrMIY0aw4ion3fv3mHBggW4c+cOWrZsiY0bN8LMzKyqqyURWdT9xYsXCAsLw+nTp5GXlwcA4HA4/M95h7e+vj5GjBiBiRMnonbt2rLbiArS5G2vSlUxdgSNT0HUmSpnEKC552JZfW+quO1VjXKIEEJIVarsb4CCggIEBQXB3d1dogdAHj9+zB8gnhBCiGaTxd+hisohumFEVNbx48exevVqZGVlwdnZGWvWrEHdunWruloSkXXdCwoKcP/+fbx48QKZmZkoLCxErVq1oK+vDxMTE3zzzTcyrH3laPK2VzW6UEeI7KhyBgGaey6Wx/emKtuuDCiHCCGEVBVV/+1GCCFEdalaBmlUl3REPeTm5sLHxweHDx9GzZo1sW7dOri5uVV1tSQir7rr6OjA0tISlpaWMqilfGjytqsLBwcHqefJyMiQQ00IqTqqnEGA5p6L5fm9Kfu2qxPKIUIIIdJS9d9uhBBCVJeqZlC1qq4AIdK4f/8+XFxccOjQIXz77bfYv3+/ShxogGrXvbI0edvViba2NjIyMsAYk/g/QtSJqp/LVL3+FaWp262OKIcIIYRIQ1a/AXJycuDq6oqXL19WqB6RkZFYunRpheYlhBCimmT5d6jCc4gRoiLCw8NZhw4dmImJCVu1ahXLz88vt/yKFSsUVDPxVLnulaXJ265shg0bVu6/xblz5w6ztbVlaWlpEs9ja2sr1ToIUVaqfi5T9fpXlKZut7KiHCKEEKIosv4NcOTIEdajRw8WGRnJCgsLJapDSkoK8/HxYba2tiwpKUniuhNCCFFt8vg7VJE5RGMYEZXg4eGBf//9F/Xr18e6devg5OQkdh5l6bNeleteWZq87eoqICAACQkJCAoKkqg8fZ9EHaj6uUzV619Rmrrd6o5yiBBCiDjy+g0QFRWFtWvXok6dOrCyskLbtm3RuHFj1KpVC9WrV0dRURE+fvyIpKQkcLlc3L17F/r6+ggLC4OxsbGsNo8QQogSk+ffoYrKIbphRFSCqakpAKB+/fqoV6+e2PKMMSQnJ+Phw4fyrppYqlz3ytLkba9qly9fhp2dncyXW1BQgKCgILi7u8PAwEBs+cePH/PbASGqStXPZape/4rS1O1WFpRDhBBCqoo8fwO8ePECYWFhOH36NPLy8gAAHA5HYFkAoK+vjxEjRmDixImoXbt2RTaDEEKICpL336GKyKHqUpUmpIro6uoiODhY4vKMMcyePVuONZKcKte9sjR526va4sWL5fJEtY6ODhYsWCBxebpIR9SBqp/LVL3+FaWp260sKIcIIYRUFXn+Bmjbti1+/fVXFBQU4P79+3jx4gUyMzNRWFiIWrVqQV9fHyYmJvjmm28qWn1CCCEqTN5/hyoih+iGEVEJ2trasLa2lnoeZaDKda8sTd72qvbp0yeEhIRIPZ+np6ccakOIalP1c5mq17+iNHW7lQXlECGEkKqiiN8AOjo6sLS0hKWlpVTzEUIIUW+K+jtUnjlEXdIRlZCXl4eaNWvKfR55UOW6V5Ymb3tV69ixIwYOHCi2XHZ2NmJjY8EYg76+Pi5cuCC0XE5ODjw8PBAQEIA2bdpIXZ/IyEjcu3cPvr6+Us9LSFVT9XOZqte/ojR1u5UF5RAhhJCqQr8BCCGEVBV1yCC6YUQIIWpIkgHzbt++DW9vb7x9+xb29vZYv3499PT0RJY/evQo/Pz8MGfOHLi6uqJ6dfEvqaampiI8PBwxMTE4cOCARONNEEIIUX2UQ4QQQgghhBCieuiGESGEqKFDhw5h6NChQj9jjCE0NBTh4eEAgJ9++gkTJkyQaLlRUVFYu3Yt6tSpAysrK7Rt2xaNGzdGrVq1UL16dRQVFeHjx49ISkoCl8vF3bt3oa+vj7CwMBgbG8tq8wghhCg5yiFCCCGEEEIIUT10w4gQQjTIu3fvsGDBAty5cwctW7bExo0bYWZmJtUyXrx4gbCwMJw+fRp5eXkAAA6Hw/+cFyv6+voYMWIEJk6ciNq1a8tuIwghhKgsyiFCCCGEEEIIUV50w4gQQjTE8ePHsXr1amRlZcHZ2Rlr1qxB3bp1K7y8goIC3L9/Hy9evEBmZiYKCwtRq1Yt6Ovrw8TEBN98840Ma08IIUTVUQ4RQgghhBBCiHKjG0aEEKLmcnNz4ePjg8OHD6NmzZpYtmwZ3NzcqrpahBBCNATlECGEEEIIIYSoBvEjxRJCCFFZ9+/fx4IFC5CQkABjY2MEBgaiXbt2VV0tQgghGoJySHO5u7sjLi5Oqnl2794NGxsbqeaJjo7G27dv4eXlJdV8X7tx4wY8PDwqVRdVUPp7sba2RkRERBXXSHZSUlIQGBiIq1evIj09HY0aNYKlpSUCAgLKlO3bty/evn0rMM3T07NMO/q6XQAAl8vF4cOHsXr1aqxevRpDhgypcJ3fvHkDBwcHoZ/Vq1cPjRs3RufOneHs7Aw7Ozup5geA6tWrQ19fHz179sTs2bPRuHFjqeu0fv16uLq6SrA1ZS1evBgHDx4EALRo0QKxsbEVWk55Sn+XLi4u8PPzk/k6iOqhDFJOlEFfUAZJXifKoKpRraorQAghRD62bNmCH3/8EQkJCRg1ahT2799f7kW6lStXKrB2hBBC1B3lEPH09ASXy+X/t3v3bgBfLhKVns7lciu8joMHDyIkJKTSdbWxsQGXy4Wnp2ell6XMIiIiKrW/ldm8efNw5swZhIaG4tatW1i0aBH++ecfoWVjY2MRGRkJANDW1kZcXJzQC768dvHdd99h1apV/H2XnJyM3NxcJCcnV6rOhoaGQo+NR48e4dSpU1i+fDny8vIwefJkjB07tsz6RM3PW0ZMTAwcHBwQGRmJESNGIDMzU+I6rV+/vlLbBgB+fn7gcrlo0aJFpZclSmxsLM6ePSu35RPVRRmkfCiDvqAMEl8nyqCqRTeMCCFEDXl4eGDTpk2oU6cOgoODsXr1aujo6JQ7jzyetiCEEKKZKIcIIYqUk5ODmzdvonv37jAzM4OOjg6+//57HD9+XOQ8nTp1gpGREQoLC3Hs2DGR5Z48eYJnz57B2dmZP23q1Km4ePEipk6dKtPt4KlWrRr09PRgZ2eHwMBA/Prrr7h16xZGjx6N9PR0iZdhaGiI5cuXw9zcHG/fvsWePXvkUl9CCNFklEHCl0EZpLqoSzpCCFFDvNe8GWPw8/MT+1osYwwZGRmKqBohhBANQDlEJk2ahCZNmkhcft26dWjTpo0ca0TUGe+p5dq1awtMF9cFpouLCwIDA3Ho0CGMHj1aaJlDhw6hT58+0NXVFZhuYGBQ8QpLafDgwbh//z527dqFtWvXIjAwUKr5O3fujPv37+P+/ftyqiEhyoUyiCgSZVD5KINUD90wIoQQNaSrq4vg4GCJyzPGMHv2bDnWiBBCiCahHCK9e/eWqvzw4cP5///gwYP4+++/8fTpUwCAsbExfvzxRwwdOpRfJjo6GkuWLOH/28TEhP//ef3dFxcX4+jRo4iJiQGXy0VKSgoaNGgAGxsbzJkzB61atarYxv2/u3fvYuTIkfx/79q1C//99x/+/PNPJCcnw9DQEJ6enhg0aBC/TOn+9EuP35Ceno7u3bvzy5Uev2Lr1q0CYyDcvn0bfn5+iImJAYfDQa9evbB8+XLo6urir7/+wu+//46UlBR89913WLFiBczNzUVuw8uXL+Hv74+bN2+isLAQ5ubmmD9/Pjp37lym7Pv37xESEoKLFy8iIyMDjRs3hr29PTw9PQUuzA4YMAAvX74E8OVi2JgxY7Bx40bcu3cPnz59AgCJuiR6+vQpNm/ejBs3biArKwsGBgZwcnLC9OnT0aBBA3650uMHHDx4kL9/hY0H8bUhQ4bgt99+w7179/Dy5csyF4xLSkpw9OhRrFq1Suj6So9XcOzYMcyfP59fLiYmBtHR0Th48CAyMzPRrl07LFy4ED169BC77cJMmjQJEREROHHiBObPn4+WLVtKPC9jDADEvukpiaSkJOzfvx8XL15EQkICcnNz0bJlS/zwww+YNGkStLW1Rc6bmpoKf39/XLp0Cbm5uTA2NsasWbPQp0+fMmUzMzMRFhaG06dPIyUlBbq6uujWrRu8vLxgZGQkcX3/+ecfRERE4OXLl2CMoVWrVujZsyeGDh0q1XKIaqEMogwCKIMogwRRBkmBEUIIUTu2trYKmYcQQggRhnKICHP9+nVmbGzMxo4dK7LMypUrmbGxMdu8eTPLzMxkmZmZLDQ0lBkbGzMfH58y5ceOHcuMjY2FListLY0ZGxuz+fPns9evX7O8vDz233//MXd3d2Ztbc3evn1bZp6goCBmbGzMrl+/LvF28eaZOHEiCw8PZ2lpaez169ds7NixzMTEhN27d6/MPKL2Q3nr523rvHnz2IULF1h2djY7deoU69ChA5syZQrbv38/++OPP1hmZiZ7+PAh69OnD+vRowfLzc0Vuv6BAweyUaNGsZs3b7L8/Hz233//scGDBzMzM7My63/27Bnr1q0bc3R0ZHfv3mX5+fns9u3bzMnJidnb27OkpCSB8omJiczY2JiNHDmSjR49mt2/f5/l5OQwf39/kd9XadeuXWMdO3ZkY8aMYc+ePWP5+fns6tWrrGfPnszR0ZGlpqYKXd+iRYvELvtr48aNY8bGxmzjxo1lPrt06RKzsbFhBQUFEq9v0aJFzNjYmE2dOpVFRUWxjx8/sidPnjBnZ2dmYWHB3r17V2YeSY4NxhgbNGgQMzY2Zn///bdU87u6ujJjY2O2Y8eOcpdf2oEDB5ixsTE7cOCAwPTt27ezDh06sH379rGsrCyWmZnJjh8/zrp27cq8vLyELovXFseMGcPOnz/P8vPz2cuXL5mHhwczMTFhR44cESifkpLCnJycmI2NDbt48SLLz89nXC6Xubm5MSsrK/b48WOB8qK+j927dzNjY2O2detWlpGRwbKzs9nx48dZp06dKtRWiGqjDPofyqDyUQYJRxmkORlEYxgRQogaOnPmjELmIYQQQoShHCIVcebMGezduxeDBg3CjBkzoKurC11dXcycORPOzs7Ys2cPzp07J/Hyqlevjo4dO2L9+vVo2bIlatSoge+++w5BQUHIysrC77//LtP6a2trY9q0adDT00PLli3h7e0NxhiOHj0q0/V06dIFvXr1Qt26deHk5AQ7OztcvHgRt2/fxrhx46Crq4v27dtjzJgx+PDhA65cuSJ0Oc+ePcOcOXNgaWkJHR0dfPfdd/jtt99QWFiIFStWoKSkhF/W29sb6enp8PHxQceOHaGjo4POnTtjzZo1eP/+Pfz9/YWuIz4+Hv7+/jAzM0OdOnXg7u6OgQMHlrt9+fn5WLBgATgcDoKDg9GuXTvo6Oige/fu+Pnnn/H69Wv4+PhUfAd+hffWwJEjR/hPQfMcPnwYzs7O5T6xLErLli0xfPhw1K9fH99++y1mzpyJvLw8xMTEVLiuvCe6ExISxJYtKSnBmzdvsG7dOjx48ADdunXDmDFjKrxunkaNGmHKlClwc3NDvXr1oKuri++//x6zZs1CTEwMHjx4IHS+Dx8+wMXFBfb29tDR0YGRkRF+++031K5dG2vWrEFOTg6/rI+PDxISErBgwQL07NkTOjo6MDY2xoYNG5CdnS3wtH15oqOj0aBBA0yZMgUNGjRA3bp18f3332PcuHGV3g9E/VAGSYYyiDKIMkj9M4huGBFCiBqqWbOmQuYhhBBChKEcIhWxd+9eABAY2JmHN+2vv/6SeHn169dHVFRUmS5QGjRoAAMDA9y+fbsStS3LwcFB4N9t27YFINmFFWnY29sL/NvIyAiMMXTp0qXMdAB49eqV0OU0atQI3bp1E5jWpk0btG/fHgkJCfz9Ex8fj4cPH8LQ0FCgyyIA6N69O/T09BATE8Pv6qc0CwsLtGjRgv/vpk2bih374OzZs0hNTYWdnR0aNmwo8JmdnR0aNGiAU6dOITU1tdzlSKpfv36oXbs23r17h+vXr/Onf/r0CWfOnMGQIUMqtNyv2wNvLIvKtAfe+BilL2yVFhcXBxMTE5iYmOC7776Dg4MDYmNjsXnzZvzxxx8y6Q5o6NChmDNnTpnpxsbGAFDucfX1hdoGDRrA1tYW2dnZOHv2LIAvXQadPn0aOjo6+OGHHwTKt27dGmZmZrhz547Idl0ah8PBx48fy1ywnjx5Mry9vcXOTzQLZZBkKIMogyiD1D+D6IYRIYQQQgghhJAqxxsMmXeRqzTeNGkHTOZyufjpp5/g6OgIMzMz/oWM9+/f4+PHj5WvdCn6+voC/65Tpw4A4PPnzwpZz9cDvNetWxcAkJeXJ3Q5TZs2FTqdN4bC48ePAXy5WAcA3333ndDyzZo1Q2FhIZ48eSLxOspTXjvgcDho06YNGGN4+PCh1MsWpnbt2hgwYACAL4OL85w+fRrNmjWDhYVFhZb79ffEu9Am6vuQBO+CKO+7/Zq1tTW4XC64XC6uX7+OSZMm4e3bt9i9ezeKiooqvN7SSkpKcPjwYfz444/o0aMH/5gaP348ACArK0vofA0aNECtWrXKTP+6vT148ACMMXzzzTdCLy42a9aMX04cDw8PAF/G3nB3d8fff/+NDx8+oG7dumjUqJH4jSUahTKocuuhDKoYyiDpUAYpRvWqrgAhhBBCCCGEEMJ7YlXYH/S8Cx3Z2dkSL+/GjRuYNGkSWrRoAV9fX5ibm/OX3bdvXxnUWNDXb8lxOByZrwMAatSoIdX0r7u44eFd5Psabx/x9jXvf0+fPi0wsPvX0tLSykyryJuDvPUJawelp4u6KFQRLi4uiI6OxqlTp7Bq1SrUrl0bhw4dqvCT3UDZ74PXHkR9H5LgPdH89cDowjRs2BALFy5EfHw8rl+/jr///pt/8aoyVq1ahaioKLi6usLf3x8tWrRAtWrVcOPGDXh4eMisvf3333/ltrcPHz6IrevQoUPRokULbNu2DZcvX0ZcXBzWrVuHfv36YenSpWUucBPNRhkkGcogyiDKIPXPILphRAghhBBCCCGkytWrVw8ZGRlCn4bOzc0F8KWLH0lt2bIFhYWFWLhwIaytrWVWT3mS9ZPg5RHWfU/pOtSrVw/A//b54MGDsWHDBrnXi7deUfuCN11XV1dm6+zatStatGiBt2/f4tSpU+jWrRv+/fdfrF+/XmbrqKx3797h5cuX4HA46NGjh8TzzZ07F2PGjMH27dsxatSoSnUJlJycjKioKDRq1Ag+Pj5SjashbXvr0qUL/v777wrXladr167o2rUr0tPTcfLkSfz55584fvw4Hj9+jCNHjlRobBCiniiDKINKr5cySBBlUMWoagZRl3SEEEIIIYQQQqocr9uV58+fl/mMN02arlnevn0L4H/jKJRWmS5ZZKFmzZr8C5ClJScnK6wOSUlJQqe/ePECwP+6/+Htc97+/Fp6ejouXrwoswuN5bWDkpISvHz5EtWqVYOZmZlM1gd8efKaN/D4wYMHceTIEVhZWfG7nlEGW7duBWMMAwcOhKGhocTzWVlZwcrKCsnJyTh8+HCl6sBrAy1atChzkUvcMZWZmSm0zX/d3szNzVGtWjWR7S03NxcXL15ERkaG2PpevnyZf5FQT08Po0ePxsGDB/HNN9/gxYsXePbsmdhlEM1BGUQZVHp9lEGCKIO+0JQMojeMKsHd3R1xcXFSzbN7927Y2NhINU90dDTevn0LLy8vqeb7Gu/1vMrURRWU/l6sra0RERFRxTWSnZSUFAQGBuLq1atIT09Ho0aNYGlpiYCAAKHlly1bhv3790u8/LNnz8LQ0BBv3rwpM0Depk2b8P3335c7f0FBARwcHJCSksKftn79eri6uiI4OBghISEi561duza++eYbuLi4YNSoUahW7X/3s8ePH49r165JvB1cLhcAhG4HT7169dC4cWN07twZzs7OsLOzk3j5sjyWFNFeS79G6+npWelzCVEOlEHKiTLofyiDKIMAyiAinR9//BEXLlzAsWPHyhw/x48f55cpjfeEb35+PmrUqIGdO3fi9u3bCA4ORrNmzfDq1StwuVz+YM/Aly5V0tLSBAbCVrTWrVvj9evXKC4uhpaWFoAv23D58mWF1SEtLQ3Xrl0TGET8xYsXePToEYyMjPgDmJubm8PCwgJ3797Fy5cvy3RFExoaiosXLyImJkYm9XJwcICBgQGuXLmCjIwMgUHHr1y5gszMTPTv31/m/f8PHToUoaGhuHHjBhISEoQOql1VoqOjsXfvXhgaGmL58uVSzz916lTcvHkT27dvx7BhwwRyThq8i5evX79GXl6eQHdP5Q00znP8+HG4ubnx/52ZmYkrV65AV1eXf8w3atQI/fr1w8mTJ3H16tUyT7Lv3buX3+bEWblyJVatWgV7e3v+NB0dHbRq1QrPnj0T2YUW0UyUQZRBAGWQMJRB/6MpGURvGFWSp6cnf0AvLpeL3bt3AxAc6Iv3X0UdPHiw3IsckrKxsQGXy4Wnp2ell6XMIiIiKrW/ldm8efNw5swZhIaG4tatW1i0aBH++ecfkeV//vlncLlc/uvPu3fvLtMuuVwuzp49KzCfoaGhQHsGvjxNIM6BAwf4F+rWr18PLpcLV1dXAICXlxe4XC5cXFwEPucNhrdhwwakpqZizZo1ZV4z/uOPP8Dlcvk/qM6ePSt0O0rXV9h28I7LR48e4dSpU1i+fDny8vIwefJkjB07VuKnaWR5LCmivQrbN0Q9UAYpH8qg/6EMogwCKIOIdPr06YOxY8fi2LFjCAsLw8ePH5GVlYWwsDAcO3YMY8eORe/evQXm4T3hy7uZffDgQX4/9ePGjQOHw4G/vz+uXbuG3NxcPHz4EPPmzZPb2A6SGjx4MLKyshAYGIiMjAwkJiZi0aJFIgf1lofmzZvDz88Pt2/fRkFBAR4/fox58+ZBW1sb69atE9hHv/zyC/T09DB9+nRcvXoVOTk5SE5ORnBwMKKiorBq1aoKXwD6mo6ODv9hBC8vLzx//hwFBQW4du0ali1bhlatWmHlypUyWVdprVq1gqWlJRhj+PjxI/r16yfzdUiqpKQEGRkZuHz5MmbPno0lS5bA0tISf/31F/T09KRenr29Pdq3b49Xr17h5MmTFa5Xs2bN0L9/f2RmZmLhwoVITExETk4ODh48iF27dpU7r66uLnbt2oULFy6goKAACQkJmDt3Lj5//oxVq1YJjC+xcuVKGBkZYeHChTh16hQ+fvyI9PR07NmzB4GBgVi2bJnI8Si+5uvrixs3buDTp0/IyspCdHQ0Ll26hJ49ewod1J5oLsogyiCAMgigDKIMohtGhKiMnJwc3Lx5E927d4eZmRl0dHTw/fff8590kacWLVrgv//+w4ULF0SWKS4uxvbt2yv0lEzDhg3h4OCAxYsXAwD+/PNPFBQUVLi+4lSrVg16enqws7NDYGAgfv31V9y6dQujR49Genq63NZLCCGqijJIdiiDiCZ68+YNTExM+G/HxcXFwcTEhH/clbZixQr88ssvOH/+POzt7dGrVy+cO3cOv/zyC1asWFGm/NixYzFo0CAsXrwYTk5OaNasGebNmwfgy8W/33//Hc2bN4eXlxd69OiBNWvWYPLkyWjevDnevn0LExMTBAcH48aNGzAxMeE/JOHh4VHuYMelt6v0PLyBzBcvXsyfn7e90dHR/HknTpyIqVOn4tChQ+jVqxfmzJkDNzc3WFpa8pfVuXNnAF+e7DUxMeG/EVh634laf9++ffn7OyQkBCYmJnjz5g3c3d359TI0NMTatWsRFBSE7t27Y+TIkahfvz52796Nrl27Cmxr27ZtER0djW7dumHp0qXo1q0bRowYgadPn+Kvv/4SeFPS3d2d/6TuwYMHYWJiAnd393L35de6du2Kffv2oUmTJhg7diy6dOmCZcuW4fvvv8e+ffvQuHFjftm+ffuWWZ+4704U3oMFjo6OIi8GCVtfdHQ0vw0dPHgQwJen1HnbLWyf3LhxQ+Sx8d1338HBwQFr165F7dq1sX37dvz5558wMDAQqIuo+YXt76lTpwL48gCIiYkJjh07JnT7eMtcsmQJAGDJkiX89gMAv/76K2bPng0ul4uBAwfCyckJFy9exNKlSwEItjfecfD27VvUrVsXQUFBiIyMhJ2dHQYNGoScnByEh4fD2dlZoA6NGjXCvn37MGTIEPz666+wtbXFDz/8gHPnzmHLli38B0LK+z54dbWxsYGPjw969uyJPn36YNeuXZg3b55MHogiqoEyiDKIMogyiDJISoxU2Llz59iDBw8Epl2/fp0ZGxuzsWPHlikfFRXFkpOTpV7P2LFjmbGxcYXr+bWgoCBmbGzMrl+/LrNlKiNR34OqSkxMZMbGxmzRokVSz8trQ6K+85KSEpaTk8NKSkoEpvPac0REBDM2NmY//vijyHUcOnSIubq6skWLFjFjY2N24MABoeXK+/zp06fM2NiYGRsbs9TU1DKf9+nThxkbG7PExEShyy4qKmI5OTllppd3XPL8/PPPzNjYmM2dO1dkma/J8liSd3vl7YOgoCC5rYMoFmWQcqMM+h/KIMogyiBCCCGEEEIIUQ30hlEl9O7dGx06dJC4/PDhw6Gvrw/gy13HESNGoHPnzujcuTNGjhyJQ4cOCZQXdhef9x/vbmVxcTEOHTqEGTNmoG/fvjAzM4OdnR1++uknvH79utLbePfuXYH1Xr9+HTt27ICDgwPMzMwwYMCAMt3R8O7gfn1XOT09XWBZN27c4H+2detWgc8+ffqEFStWwNraGjY2NvD29sbHjx8BAH/99RccHBxgbm6OESNG4P79++Vuw8uXLzFjxgx07doVnTp1gru7O+7cuSO07Pv377Fs2TL07NkTZmZm6N27N1atWoXU1FSBcgMGDODXdfHixbh//z4mTJiALl26SPU0wdOnTzFv3jz06NEDZmZmcHBwgJ+fHzIzMwXKiXpiITg4WKL1lIfXxurUqSPytWg3Nzfo6enh1q1buHnzZpnPGWPYtm0bpk2bVqm68AYV1NPTk6o/WN4TCO/fv5f4tdCvTZo0CdWqVcOJEyeQmJhYoWXwvHjxAhs2bICLiwusrKzQsWNHuLi44O+//wZjrNx55dFey1NcXIw///wTQ4cORZcuXdCtWzeMGjUKW7duVeiAl0R6lEGUQZRBX1AGCaIMIoQQQgghhBBSUXTDqAqsWrUKixcvRp8+fXD+/Hn+q66LFi3C2rVr+eVcXV0F+v4v3U8+7/W3jx8/YtGiRahduzZ27dqFW7duYdu2bUhNTcXw4cPx7t27StW1U6dOAv3kb9u2DYWFhdi3bx9OnDiBJk2aYMGCBYiPj+fP4+fnJ7Q/fD09PZF97k+dOlVgW1esWAEnJyfExsZi3bp1OHHiBLy9vXHgwAEUFhYiOjoakZGR+PDhA6ZPn47Pnz8LrX96ejqWLl2KyZMn48qVK/j777/x8eNHeHh4CFwsBL5cKHJ1dUVcXBxCQkJw+/ZtBAYG4tq1axg+fLjAhYuTJ0/yx1x49eoV/Pz88NNPP+HSpUuYPHmyRPv2+vXrGD58OFJTUxEREYHbt29j3bp1OH78OIYPH44PHz7wy8bGxvLX5+Liwm8Hiho4umbNmhg3bhwAICwsrMznZ86cQXFxMRwdHSu0/MzMTJw/fx5+fn6oW7cufv75Z4X36WtgYIBvvvkGjDFcuXKlUsvas2cPIiMjMWvWLFy4cAHnzp3DqFGj8PPPP8Pf31/kfPJqr+X59ddf4evri3HjxvEHihwyZAg2bdqEqKioSu0HopwogyiDAMqg0iiDvqAMIoQQQgghhBBCN4wU7MyZM9i7dy8GDRqEGTNmQFdXF7q6upg5cyacnZ2xZ88enDt3TuLlVa9eHR07dsT69evRsmVL1KhRA9999x2CgoKQlZWF33//Xab119bWxrRp06Cnp4eWLVvC29sbjDEcPXpUpuvp0qULevXqhbp168LJyQl2dna4ePEibt++jXHjxkFXVxft27fHmDFj8OHDB5EXV549e4Y5c+bA0tISOjo6+O677/Dbb7+hsLAQK1asQElJCb+st7c30tPT4ePjg44dO0JHRwedO3fGmjVr8P79e5EXWeLj4+Hv7w8zMzPUqVMH7u7uGDhwYLnbl5+fjwULFoDD4SA4OBjt2rWDjo4Ounfvjp9//hmvX7+Gj49PxXegCLx+cEv/J6kxY8agbt26uHz5Mh4+fCjw2ZYtWzBlyhSpBhnk9UNqYmICGxsbTJs2DU2aNMGWLVv4/d6K4uDgILANvCffK6tly5YAgISEhEotp2nTppg/fz6/31k9PT2MHDkSo0ePxu7duwUuxJamiPb6Nd5bJC4uLqhbty50dXXx448/lunDlagHyiDJUAZRBpWHMogyiBBCCCGEEELUFd0wUrC9e/cCgNA/hHnT/vrrL4mXV79+fURFRUFHR0dgeoMGDWBgYIDbt29XorZlfX1RpG3btgAqf3Hja/b29gL/NjIyAmMMXbp0KTMd+PKEtTCNGjVCt27dBKa1adMG7du3R0JCAn//xMfH4+HDhzA0NET37t0Fynfv3h16enqIiYnBp0+fyqzDwsJCYJDtpk2bIjAwsNztO3v2LFJTU2FnZ4eGDRsKfGZnZ4cGDRrg1KlTUnXrIondu3cLvCUg7Cl8UerVq4cff/wRwJeLczxXrlxBWloaBg8eLFVd1q9fz6/DvXv3cPjwYRgaGmLs2LHw9fUtt9ucs2fPCmwD78n3yqpduzaAL4O7V8bUqVP5+6o0Y2NjFBUV4d69e0LnU0R7/RqHw8HLly/x+PFjgenLli2TemBIovwogyRDGUQZRBn0BWUQIYQQQgghhGgWumGkYLyxDngXuUrjTRM3HsLXuFwufvrpJzg6OsLMzIz/xOv79+/5Yy7ICm/8Cx5eX/2iuuOR9XqaNGkiML1u3boAgLy8PKHLadq0qdDpbdq0AQD+BQped0bfffed0PLNmjVDYWEhnjx5IvE6ylNeO+BwOGjTpg0YY2Weoq5q48ePR40aNXD69Gn+WA/h4eGYOHEitLW1K7zcmjVrwtTUFAEBAWjfvj127dqFgwcPyqraEuNd3OK1q4oqKCjAnj17MGzYMNjY2PCPyWXLlgEAsrKyhM6niPb6tXHjxiE3Nxeurq6YOnUqDh06hKysLDRo0AANGjQQOz9RLZRBlVsPZVDVogySDGUQIYQQQgghhJCKql7VFdA0vKdGa9WqVeYz3pOl2dnZEi/vxo0bmDRpElq0aAFfX1+Ym5vzly2uS5WKqFmzpsC/5dXHf40aNaSaLupJYFGDT/P2EW9f8/739OnT5XaRk5aWVmba1/tEErz1CWsHpaeLuqgjS9I84d24cWMMGzYMf/31F7Zt24aRI0fi2bNn2LZtm0zqwuFw0KdPHzx8+BDHjh3jj5MijqGhoVTbIQrvLQHexbGKYIxhxowZuHz5MqZOnYqxY8dCX18fHA4H0dHRWLJkSZW216/NnDkTxsbG+OOPP3Dx4kVcuHABNWvWxJAhQ7Bw4cJKX7gkyoUySDKUQZRBlEH/QxlEqtKrV6+QlpYGS0vLqq4KIUSJHDp0CIMHD4aWllZVV4WoMcogQogwmpBB9IaRgtWrVw+A8Kehc3NzAXzp4kdSW7ZsQWFhIRYuXAhra2uRF3+UiayfBC+PqO5QeHXgfR+8fT548OAy3eWU/q+iA2p/rbx2UHq6rq6uTNYnS5MmTUL16tVx9OhRrF+/Hh4eHhW6YClK48aNAQBv376V2TIl8e7dO7x8+RIcDgc9evSo8HLu3LmDy5cvo3379vjpp59gYGAg8UXtqmqvjo6O/LFrvL29oaenh8jISHh6eko0P1EdlEGUQaXXSxlUFmVQWZRBpKr8888/cHNzK7eLSPLFH3/8gT/++EPk51OmTEHfvn2Rnp6uuErJye7du+Hs7IxOnTrBxsYG7u7u/DcfhcnKykJwcDDOnDmjwFoChw8fRufOnXH48OFKLys9PR19+/bFlClTZFAz1fDmzRsEBwfjxo0bQj8/fvw4xo8fj8zMTMVWjGgMyiDJUQZRBqkbyiC6YaRwFhYWAMDvSqU03jReGUnwLmjwxlEoTVQXOYpSs2ZN/gXI0pKTkxVWh6SkJKHTX7x4AeB/3anw9rmoC0Tp6em4ePGizC40ltcOSkpK8PLlS1SrVg1mZmYyWZ8kAgMDkZiYKLacoaEhBg4ciKKiIjx79gxjxoyRaT14Y2ZUpCuarKwsBAYGVuip+K1bt4IxhoEDB8LQ0FDq+Xl4bah169ZlPhN3TFZFez1z5gx/IPNmzZph8uTJOHz4MBo2bIhr164p5A0DojiUQZRBpddHGVQWZVBZlEGkKly4cAELFy7Er7/+Cisrq6qujtLbvXs3du/eLfLzN2/eIC0tTWguqpL9+/fj559/xuDBg3H16lVER0cjJSUFz549EzlPVlYWQkJCFH6xLjk5Gbm5uTL53ZGbm4u0tDS8efNGBjVTDW/fvkVISAji4uKEfh4cHIzi4mLMnDkTRUVFCq4dUXeUQdKhDKIMUjeUQXTDSOF4gxAfO3aszGfHjx8XKMPDe8I3Pz8fALBz5054eXkB+PLHNVC2Sxfeq7NVqXXr1nj9+jWKi4v50/Lz83H58mWF1SEtLQ3Xrl0TmPbixQs8evQIRkZG/AHMzc3NYWFhgbt37+Lly5dllhMaGoq1a9eK7I5IWg4ODjAwMMCVK1eQkZEh8NmVK1eQmZkJJycnNGrUSCbrk0R4eDjevXsnUdmpU6eiTZs2mDx5slRvI4hTUlLCHzzczs5O6vmzsrIQHh4u9QWm6Oho7N27F4aGhli+fLnU6y2Nd0w+ffq0zNNIt27dKnfeqmivs2bNKrOM+vXrQ19fH9WrV0f16tRzqTqhDKIMAiiDRKEMogwiyiEnJwfLli1Dr1690KdPn6qujlo4ePAgLly4UKkb0srgwoULAAB3d3fUrl0bLVq0QEREBJycnKq4ZmVNnToVFy9exNSpUyu9LENDQ1y4cKFKxtdTVjVq1MCSJUtw69Yt7Nq1q6qrQ9QIZZDsUQYpHmWQfGlCBtENIwXr06cPxo4di2PHjiEsLAwfP35EVlYWwsLCcOzYMYwdOxa9e/cWmIf3hO/Vq1eRnp6OgwcP8vuZHzduHDgcDvz9/XHt2jXk5ubi4cOHmDdvntzGdpDU4MGD+U/bZmRkIDExEYsWLRI5SLI8NG/eHH5+frh9+zYKCgrw+PFjzJs3D9ra2li3bp3APvrll1+gp6eH6dOn4+rVq8jJyUFycjKCg4MRFRWFVatWoVo12RwyOjo6CAgIAAB4eXnh+fPnKCgowLVr17Bs2TK0atUKK1eurPR68vLykJWVxb/jnZubi6ysLKH/SePbb7/FyZMnMXPmzErXkVfPx48fY/78+Xj8+DFMTU0xfvx4/ue8evOeQs7JyRG6DbzxWcQpKSlBRkYGLl++jNmzZ2PJkiWwtLTEX3/9BT09vUptS5cuXWBhYYFnz55h3bp1SElJQWZmJnbs2MG/IC9KVbXXpUuXIj4+Hnl5eUhPT8f27dvB5XLh5ubGH9eGqAfKIMoggDJIWD0pgyiDiPLYv38/UlNTMXHixKquitqoWbNmhd6cVDa8rl9Kj7mmr6/P7zJT2RgYGMhsWQ0aNJBpF6zqwNzcHNbW1vj9999RUFBQ1dUhaoIySPYog6oGZZB8qXsGcRh1yCkTb968gYODQ5npLi4u8PPzKzP90KFD+Pvvv/lPZRsbG2P06NEYOnRombI5OTlYtWoVLl++jKKiIlhZWcHHx4d/8F+5cgWhoaF48uQJioqKYGxsjHHjxiEgIIDfXYinpyesra3h4eFRZvnlDdQsbLtatGiB2NhYLF68uMwd5vXr1/MHiS4uLsamTZtw8OBBfPz4Ed9++y3mz5+PO3fuICQkBMCXQdbv3LnDH4hZ2L77ekBl3vr79u1bpjuUs2fPYsmSJfzXBq2treHt7Y2NGzfi/v37KCoqgoWFBebPn4/OnTuX2d7k5GRs3rwZFy5cwIcPH9CoUSN07NgRU6ZMgbm5Ob+cu7t7mVcTra2tERERIXJfCvPs2TOEhobi+vXryM7Ohr6+PpycnDBjxgyBQBW2rYD4wcKXLVuG/fv3S1yf3bt3w8bGBgBE7ndRgoOD+d+rsGWK+hwAtLS0UK9ePbRt2xaOjo4YM2aMQBiNHz++zFPP5Tl79iwMDQ1FHpfAl5Bv0qQJOnfuDGdnZ/Ts2VPi5d+4caPcYyk7OxvBwcGIjY1FUlISGjZsCHt7e7Rq1Yp/kZZXvnRbkld7FTYoOe97uXDhAv755x/Ex8cjOTkZNWrUQKtWrTBixAi4urqq9SB+6oQy6AvKIMogUcukDKIMIqrD1dUVz549w+3btwXeMvv6OL548SI2bNiAK1euIDs7G23atMHEiRMFsmzr1q0C7f727dsIDAxETEwMPnz4gJKSEoHsePr0KTZv3owbN24gKysLBgYGcHJywvTp0wXOi6XbtaenJ1q2bIk//vgDL168QK1atdCrVy94e3tDX1+/zPbdvn0bW7ZswZ07d/D582cYGhrC2dkZkyZNEhgL0NzcnH8BwtPTE507d0ZISAgeP36Mz58/o0WLFnBxcRF5buN1D1T6fFH6PMvz7t07hIaG4tKlS0hPT4eenh569eqFWbNm8d9aBL6MIcd7S9fa2ho+Pj7w9fXFzZs3Ua1aNfTs2RMrV66U6sZ3bm4uduzYgX/++Qdv375FrVq10KVLF0ybNk3gvCPqHC4uG4TlJQ+Xy5WqfVy/fh2HDx/GnTt38P79e2hra8Pc3BxTp05F9+7dBZZdOjdL/xY7duwY5s+fzy8XExOD6OhoHDx4EJmZmWjXrh0WLlwoMJbd19teOnu/biMWFhb47bff8PTpU+jq6sLV1RVz584tcwO/pKQEO3fuRFRUFN6+fQs9PT3069cPbm5uGDJkCL9c6WNDlOfPn2Pz5s24desWMjIy0LRpU1hYWGDgwIFl3s7IzMxEWFgYTp8+jZSUFOjq6qJbt27w8vIS6N5Y1O8OYd93aGgogoKCsGXLljIPPRFSEZRBX1AGUQYJ23bKIA3KIEYIIYQQQgghhFSxjx8/MhMTEzZ48GCRZcaOHcuMjY3Z0KFD2dGjR1lubi579+4d8/LyYsbGxmznzp0i55k+fTqLjo5mHz9+ZHfu3GHm5ubswIEDjDHGrl27xjp27MjGjBnDnj17xvLz89nVq1dZz549maOjI0tNTRVY5vXr15mxsTHr378/mzp1Knv9+jXLy8tjp0+fZp07d2Z9+/Zl6enpAvMcOXKEfffdd8zLy4u9efOGff78mZ08eZJ16dKFubm5sdzcXKHr8PDwYJMmTWLPnj1j2dnZbP78+axPnz78cn369BH499eCgoKYsbExu379usB0LpfLbGxsmLOzM4uPj2f5+fksPj6eDRw4kHXr1o09e/aszLKMjY3ZoEGD2Lhx41h8fDzLzs5mhw8fZu3bt2dTp04VWYevffr0ibm6urIuXbqwmJgY9vnzZ5aYmMi8vLxY+/bt2bFjx8rMw/sepZGYmMiMjY3ZokWLRJaRpH04OzuzIUOGsHv37rG8vDz25s0b5uPjw0xNTdnZs2elWu+iRYuYsbExmzp1KouKimIfP35kT548Yc7OzszCwoK9e/dO4m0v3Ubmzp3LXr9+zdLS0pivry8zNjZm27dvLzPP8uXLmbGxMfP19WVpaWksOzub7dy5kw0cOFDsvirt/fv3rEuXLszDw4M9f/6c5efns0ePHrEff/yxTF1TUlKYk5MTs7GxYRcvXmT5+fmMy+UyNzc3ZmVlxR4/fix0u4KCgsqtQ0xMDDM2Nmbr16+XqM6ElIcyiDKIMogyqPR2aXIGUZd0hBBCCCGEEEKq3IsXL8AYE/pU9Nf69OmDQYMGoVatWmjWrBk2bNgAfX19bNiwAUlJSULnMTc3h4uLC+rXr49OnTphwoQJMDQ0RH5+PhYsWAAOh4Pg4GC0a9cOOjo66N69O37++We8fv0aPj4+QpeZnJyMDRs2oGXLlqhRowYcHR0xf/58vHnzBr/99hu/XEpKClasWIGmTZtiw4YNaNGiBWrWrIn+/fvD29sb8fHxCAoKErqO//77D7/99hvatWuHunXrYtKkSTIZW2PRokXIzMzEb7/9BnNzc+jo6MDc3BxBQUHIyMjAwoULhc735MkTeHt7w9zcHHXr1sUPP/yAHj164MKFC/wue8TZtGkTHjx4gIULF6Jfv36oWbMmDA0N+d/jsmXL8OHDh0pvozREtQ8AaNu2LdauXQsLCwvUqFEDLVq0wIoVK2BqaorAwMAKra9ly5YYPnw46tevj2+//RYzZ85EXl4eYmJipF4Wl8vFL7/8gpYtW0JPTw/e3t6oU6cOjhw5IlAuLi4OUVFRsLS0xJIlS6Cnp4e6deti/PjxMDU1lWqdp06dQk5ODsaPH4+2bdtCR0cHpqamQt9u9/HxQUJCAhYsWICePXtCR0cHxsbG2LBhA7Kzs7Fq1SqptxkA/1zx/PnzCs1PSGmUQZRBlEGUQdJQ5wyiG0aEEEIIIYQQQqpcSkoKAKB+/fpiyw4cOFDg3zo6OnB0dERhYSGOHTsmdJ7vv/9e4N/z5s2DtbU1zp49i9TUVNjZ2aFhw4YCZezs7NCgQQOcOnUKqampZZbZq1evMuMX8Op29OhR/vhnhw4dwufPn9GvXz/o6OgIlHd2dgaHw0FUVBR/3Lev11F6zIT27dtjxYoV/9fevUdFXeZ/AH8jhUUCEopumkjmzKoDimvQmqBimAEKklqewtqDmRVoFpqu5u9sopAmuQLnrOt2UmjX1gtqIqtDuMVZ5XISVi4CLaDJLUCI4T5gPL8/PN+J4TtcBkVA369z/GOe73P73uaD3+8zz2NwH3vrypUruHr1KqZOnYpJkybpbZs0aRKmTJmC7OxsZGZmysqOHTsW06ZNk5URQuDGjRs9tn3r1i0cP34cJiYmBs/jwoUL0dTUdM8X2O7q+gCA/fv36023KZk8eTJ++OGHXq9j11HnaUul8/Djjz8aXZf0AEzy0EMPYeLEibK6Tp06BUB+/wC31380hrS2nVqtRltbmy59woQJUKvVus9VVVVISEiAmZkZlixZoleHnZ0dVCoVMjIycP36daPaB6C796TvDqI7wRjEGMQYxBhkjPs5BvGFEREREREREQ245uZmAMDDDz/cY96OaxtI7O3tAQC5ubm9LgMAWVlZAG6P4O3MxMQE9vb2EEIgJydHtv2JJ56QpT3++OOwsrJCQ0MDiouLAQDZ2dldtmFhYYFRo0ahoaEB165dk20fO3aswX7fCWmfpWPWmdRPKV9Hhkbfm5ubAwBaWlp6bLuoqAiNjY0YPXq0wcXCu2u7P3V1fQBAdXU1PvnkE3h5ecHJyQlKpRJKpRKnT58GAGg0GqPb63wcjTmGPdUl1SfdUxLp3jB03rvbf0M8PT0xevRoxMbGwsPDA59++qnunNnZ2enyZWdnQwiBp59+WvagumO70j1iDKm+zvtJ1BeMQYxBPbXdnxiDGIMGk4d6zkJERERERETUv6QFxn/55Zce83Yc7SyRFuzuaqTtI488YjC9vr5er3xX9dbV1cm2SQ9YDJXRaDS6untqQ6rHUBtd9ftOSP3prv/G9Eca6SuEuGttS/nula6Oc01NDZYuXQqNRoMdO3bAzc1NtwD95s2bcfLkyV7td2fDhw/X+2zMMeysu3PSkXRvGLoODd1T3bGxscHp06dx8OBBnDx5EgcPHsTBgwehUCgQHByMuXPnAvj1PF69ehVKpbLL+voy/ZP0XWFqamp0WaLOGIMYgzq2zRjUe4xB918M4gsjIiIiIiIiGnAjRowAALS2tvaYt7GxUfZwQRrhKdXTW9II465GiErpVlZWsm1NTU3dlpHq7qkNqR5DbfQHacqlnvrfm6mZhlLbfXH06FFUVFTgjTfekE1nM9R0dx02NjYaXZ+NjQ02b96M4OBgJCcn48SJEzh37hzeeustxMTE4JlnntGdx5kzZ+LIkSN3tgOdSCPhDf1KgMhYjEGMQf3ddl8wBnWNMaj/cEq6Qe769eu4fPnyQHeDiAaZU6dO9WrkE9GdYhwiIkMYh6g/PPnkkwBuj6btSXl5uSytqKgIwO31FYzh6OgIwPCixe3t7bh27RqGDRsGlUol215WViZLq66uhkajgYWFhW6fumujrq4ON2/ehIWFRZfT89xt0loI0jHrTOqn1O+76amnnsKIESNQVVVlcAT33Wzb0AhnY5WWlgLQn+JG0pepewaSdG8YOu+G7qnuFBYWoqCgAMDtX2a4urpi3759WLduHYQQujUkHBwcMGzYMN1x7KypqQlJSUn4+eefdWm9PW9SGek+I7oTjEGMQXe7bcYgfYxBQwdfGA1icXFxWLZsWZ9+DvigOXToEA4dOtTl9jfffBPu7u69CvyDXXR0NLy8vDBjxgy4uLjA39/f4EKAkrq6OkREROCbb765h70ETp8+DScnJ92cqneipqYG7u7uePPNN+9Cz4aGkpISREREIDU11eD2+Ph4vPHGG6itrb23HaMHCuNQ7zEOMQ7dbxiHaCDY2dnBwsICJSUlPebtvKh4a2srEhMTYWZmBi8vL6PaXbBgAcaMGYOLFy/qPTAAgIsXL6K2thYeHh6wsbGRlU1KSpI9cIqPjwcA+Pj4YNiw2//l9vX1hbm5ORISEmSj1+Pj4yGEwPLly/s0rYmVlRW0Wq3uc1hYGEJCQrot4+joCJVKhdzcXNkDxMLCQuTl5UGlUhlcZPtOmZqaYsWKFRBCGDyPCQkJMDc3h4+Pzx23JY2W73h8Xn31Vd3C270hrW+Qn5+vl97W1tZt/BuMfH19Afx6jXZ05swZo+qKj49HZGSkLH3y5MkAfp2iyMbGBgsXLkRFRQUuXboky//VV19hw4YNemtLSCPCpfOm1Wrh7e2N5ORkvbLSd4WhB+lExmIMYgxiDOpfjEFDB18YDVLfffcdNm3ahD179mDWrFkD3Z1BLzo6GtHR0V1uLykpQXV1dZc/OR0qjh8/jp07d2Lx4sW4dOkSYmNjUVlZqXurbkhdXR0iIyPv+YO6iooKNDU1oaKi4o7rampqQnV1da/+cLtflJaWIjIyEmlpaQa3R0RE4JdffsE777yDW7du3ePe0YOAccg4jEOMQ/cbxiEaCKamppgzZw7Ky8tRXV3dbd7c3FzExcWhpaUFP/30E4KDg1FZWYng4GCMGTPGqHbNzMywd+9eAEBQUBAKCwvR2tqK5ORkbN26FRMmTMD27dsNlp02bRo2bdqE4uJitLa24ptvvsG+ffswYcIEBAUF6fKNGjUKO3fu1PW1tLQUWq0WarUae/bsgaOjI9atW2dUvyUqlQrV1dXIy8tDWVkZ4uLiejWt0O7du2FtbY3169cjKysLra2tyMrKwvr162FtbY3du3f3qT+9sW7dOjg6OmLPnj1Qq9XQarUoKytDcHAwKioqsHPnTowaNeqO2xkxYgQmTpyInJwc1NbW4tKlS/j++++NWlzbz88PlpaWOHHiBI4dO4b6+nqUlZVhy5YtBkf3D2azZs3CK6+8gvT0dISFhaGmpgYNDQ04dOhQnwa1nD9/HocPH8bNmzeh1WqRlZWFqKgoPPbYY3jppZd0+bZv346JEydi06ZNUKvV0Gg0qKmpwZdffonPPvsMW7du1Zvey87ODpaWlsjIyEBjYyPOnDmDoqIijBs3Tq99aZFyNze3Ph4Rol8xBjEGMQb1L8agocNEcNjwoNPQ0IBFixZBpVLhL3/5y0B3Z0hwd3cHAFy4cMHg9paWFrS0tOgWhhuqgoKCoFarkZ6ervsyq6ysxKOPPtrlnJklJSVYsGABli5dirCwsHvZXVRUVBj9x1JXamtr8cgjj/TLgouDUWpqKlatWoXAwEC9P/Q6ysrKwrJly7Bp0yYEBATc4x7S/YxxyHiMQ4xD9xvGIRooaWlp8Pf3x7Zt2+Dv7y/b7u/vj7S0NFy+fBnh4eFQq9Wora2Fvb09Vq9erTciODY2Flu2bJHVkZiYiPHjx8vSCwoKEBUVhZSUFNTX18PW1hYeHh54++23Zd/fHe8RR0dHREVFIT8/H8OHD8fcuXOxceNG2NraytrIyMjAgQMHkJ6ejqamJowfPx7e3t4ICAjQWwTa3d1dNn1KV9+jFRUV2L59Oy5fvqx74PmnP/0JOTk5WLVqlSx/x1HK5eXliIqKQlJSEmpqamBtbQ03NzcEBgbqPdCSFtbuKDQ0FM7OzliwYIFe+rhx47qMhx01Nzfj888/R1xcHEpKSmBubg4nJyesXbsWTk5OunwREREGRxGHhobCz8+vx3bS09MREhKCwsJCWFlZ4eWXX8a7775r1PVx/fp1hIeHIz09HbW1tRg/fjwWL16MoqIixMXFAQCcnZ0RExNj8NyFhoZi3LhxsvMhlZGu646io6ORlpYm2/fu2klMTERaWppsvzpeO+3t7Th8+DCOHDmCsrIy2NrawsfHB97e3vD09MSKFSuwY8eOng4rKisrcerUKVy4cAElJSXQaDSwtbWFs7Mz1qxZI5vaqq6uDgcOHIBarUZ5eTlGjhwJpVKJgIAAzJ49W1Z/YmIi9u7di5KSEowePRpr167F8uXLddtbW1vh7u4Oe3t7xMTE9Nhfot5gDLqNMYgxiDHoAY9BggadL774QigUCpGamjrQXRky5s+fL+bPnz/Q3eh3r732mlAoFEaVKS4uFgqFQnz44Yf91CvqDykpKUKhUIj9+/d3m++1114Tv//974VWq71HPaMHAeOQ8RiHusY4NDQxDtFAeuedd4Srq6toaWmRbevL91B/6O09QjRUpKamCoVCISIiIga6K70SHR0tpkyZIrKysga6K3SfYQwiuvcYgwYXTkk3CH399dcYPnw4Zs6cqZceEREBpVKp+1dRUYGNGzdi9uzZcHBwwJIlS2TzYP71r3/VK9PY2IiQkBC4urpiypQpUCqViI2N1eX/3//+hw0bNmD27NlQqVRYsGABwsLCZPPTd6wzIiICp06dgq+vLxwdHeHi4oKNGzeisrLS4P6lp6fjrbfegrOzMxwcHPDiiy8iMjISzc3NevkcHBz02vjPf/6DV155BTNmzIBSqYS7u7vumJSWlqK0tFSvX6mpqUhNTZWldVZWVoatW7fCzc0NKpUKbm5u2LZtm2zBtYCAAF09/v7+uHbtGt588004OTnhd7/7Hd577z2jf0LZ1NSEyMhILFq0CA4ODnB2dsbatWuRkZGhl0/aT+mNv9QPaUR7V/z9/XWjLU6ePKl3LADjro+UlBRs2bIFixYtwvTp0zFr1iz84Q9/kM3hCdwejSLVuXnzZl362bNn9dqTRkm4urrCwcEBvr6+sjlFO1/3HXW+Rr777jv4+fnBwcEBc+bMQXh4ONrb22X9a29vx+eff44XXnhBd85DQkKQl5en11bHe6MrhYWF+OCDDzBv3jxMnz4dL7zwAjZu3Ih///vfsry1tbUIDQ2Fu7s7VCoVnnvuOXzwwQe4fv267PhJIz8iIyO7Pd/PPvssqqurDc7FStRXjEO3MQ79inGIcYhxiO6lXbt2wdLSEhs2bEBbW9tAd4fovvL6668jLy9Plv7tt98CAObNm3dvO9QHKSkpCA8Px0cffXRfrh1BA4sxiKj/MAYNEQP9xor0aTQaoVQqxeLFi7vMI41o8PX1FWfOnBFNTU2irKxMBAUFCYVCIb744osuy6xdu1bExsYKjUYjMjIyhIODgzhx4oQQQojk5GQxffp08eqrr4qCggKh1WrFpUuXhKurq3j++edFVVWVXp3SiIYXXnhBrFmzRty4cUO0tLSIhIQE4eTkJNzd3UVNTY1ema+//lpMmTJFBAUFiZKSEtHc3CzOnTsnZs6cKZYtWyaampoMtrFq1SoREBAgCgoKRH19vXj//ff1RnL3NLJ7//79QqFQiJSUFL30/Px84eLiIry8vERmZqbQarUiMzNTeHp6imeffVYUFBTI6lIoFMLb21u8/vrrIjMzU9TX14vTp0+LqVOnijVr1nTZh84aGxuFn5+fmDlzpjh//rxobm4WxcXFIigoSEydOlWcPXtWVqa/Rnb35vrw8vISPj4+4sqVK6KlpUWUlJSIjz/+WPz2t78ViYmJRrX74YcfCoVCIdasWSOOHj0qNBqN+OGHH4SXl5dwdHQUZWVlvd73jtfIe++9J27cuCGqq6vFrl27hEKhEH/7299kZbZt2yYUCoXYtWuXqK6uFvX19eKLL74Qnp6eRo2CLy8vFzNnzhSrVq0ShYWFQqvVitzcXLFy5UpZXysrK4WHh4dwcXERSUlJQqvVivz8fLFs2TIxa9YskZeXZ3C/ehoxdP78eaFQKERoaGiv+kzUE8YhxiHGIcahjvvFOEQDRaPRiMDAQPH3v/9dL52ju4nuzPz588XSpUtFZmamaGlpET/99JM4dOiQUKlU4v/+7/8Gunu94uXlJc6dOzfQ3aD7GGMQUf9gDBoa+MJokMnIyBAKhUIEBAR0mUcKUH/+85/10rVarZgzZ46YNm2aKC8vN1gmKipKLz08PFykpqaKlpYW8dxzz4kZM2bIHq4lJSUJhUIhgoKC9NKlADVjxgxRV1enty0mJkYoFAq9m72iokJMnz5dzJ8/XzZtyZEjR4RCoRBhYWEG25g1a5ZoaGjQpefk5IiPP/5Y97mvD+p8fX2FUqmUPZArKCgQSqVS+Pn5yepSKBRCoVCI7OxsvfTVq1cLpVIpfv755y770dHOnTuFQqEQX331lV66VqsV8+bNEzNmzJA9HO3vB3VdXR9CCBEUFCQyMzNlZX19fYW3t7dR7UoP6nbs2KGXfvbs2R4fNncmXSMuLi5611VbW5twcnISS5Ys0csv/cx15cqVsrref/99ox7UHT58WCgUCnHhwgW99B9//FHW18DAQKFQKMSxY8f00q9fvy6USqV4+eWXDe5XT38ASt8Zq1ev7lWfiXrCOMQ4xDjEONRxvxiHaKBJL/Kl79GO/1577bUB6VPnfhj6ficarP71r3+JwMBA4e7uLhwdHcX06dPFSy+9JP75z3+K9vb2ge5er3Qe4EPUXxiDiO4uxqChgVPSDTLS9DmWlpY95vX09NT7bGZmhueffx5tbW04e/aswTIvvvii3ucNGzbA2dkZiYmJqKqqwpw5c2Btba2XZ86cORg5ciTUajWqqqpkdbq5uckWupb6dubMGd1ULKdOnUJzczMWLlwIMzMzvfxeXl4wMTHB0aNHcevWLYNtSItrA8DUqVPx0UcfGdzH3rpy5QquXr2KqVOnYtKkSXrbJk2ahClTpiA7OxuZmZmysmPHjsW0adNkZYQQuHHjRo9t37p1C8ePH4eJiYnB87hw4UI0NTXJFvXrb11dHwCwf/9+ODg4yMpMnjwZP/zwAxoaGoxur/PihNJ5+PHHH42uy9XVVe+6euihhzBx4kRZXdJ0WZ2POwAsXrzYqDZNTEwAAGq1Wu+n6hMmTIBardZ9rqqqQkJCAszMzLBkyRK9Ouzs7KBSqZCRkSGbEqg3pHuvq6m3iIzFOMQ4xDjEOGQMxiHqb9Ii3EFBQcjPz9f7N1CLDHfuR35+PlxcXAakL0TGWrRoESIiIpCYmIgrV67gv//9L44fP44VK1bo4spgJ30vEPU3xiCiu4sxaGjgC6NBRlo/4eGHH+4x729+8xtZmr29PQAgNze312UAICsrCwDw1FNPybaZmJjA3t4eQgjk5OTItj/xxBOytMcffxxWVlZoaGhAcXExACA7O7vLNiwsLDBq1Cg0NDTg2rVrsu1jx4412O87Ie2zdMw6k/op5evI1tZWlmZubg4AaGlp6bHtoqIiNDY2YvTo0bKHnD213Z+6uj4AoLq6Gp988gm8vLzg5OSkW8/g9OnTAACNRmN0e52PozHHsKe6pPo6r0ki3RuGznt3+2+Ip6cnRo8ejdjYWHh4eODTTz/VnTM7OztdvuzsbAgh8PTTT8seUndsV7pHjCHV13k/ifqKcYhxqKe2+xPjEOMQERERERERDZyHBroDpO+hh26fkl9++aXHvB1HOkukt5xdjbJ95JFHDKbX19frle+q3rq6Otk26eGKoTIajUZXd09tSPUYaqOrft8JqT/d9d+Y/khvwoUQd61tKd+90tVxrqmpwdKlS6HRaLBjxw64ublh5MiRAIDNmzfj5MmTvdrvzoYPH6732Zhj2Fl356Qj6d4wdB0auqe6Y2Njg9OnT+PgwYM4efIkDh48iIMHD0KhUCA4OBhz584F8Ot5vHr1qmzB9I5u3rxpVPvAr98VpqamRpclMoRxiHGoY9uMQ73HOMQ4RERERERENNTxhdEgM2LECABAa2trj3kbGxtlDxak0Z1SPb0ljS7uanSolG5lZSXb1tTU1G0Zqe6e2pDqMdRGf5CmW+qp/72Zlmkotd0XR48eRUVFBd544w3ZVDZDTXfXYWNjo9H12djYYPPmzQgODkZycjJOnDiBc+fO4a233kJMTAyeeeYZ3XmcOXMmjhw5cmc70Ik0Ct7QLwSI+oJxiHGov9vuC8ahrjEOERERERER0d3CKekGmSeffBLA7ZG0PSkvL5elFRUVAbi9toIxHB0dAQCFhYWybe3t7bh27RqGDRsGlUol215WViZLq66uhkajgYWFhW6fumujrq4ON2/ehIWFRZdT89xt0joI0jHrTOqn1O+76amnnsKIESNQVVVlcPT23Wz7bswBWlpaCkB/ehtJX6btGUjSvWHovBu6p7pTWFiIgoICALd/leHq6op9+/Zh3bp1EELo1o9wcHDAsGHDdMexs6amJiQlJeHnn3/WpfX2vEllpPuM6E4xDjEO3e22GYf0MQ4RERERERHRYMUXRoOMnZ0dLCwsUFJS0mPezguKt7a2IjExEWZmZvDy8jKq3QULFmDMmDG4ePGi3sMCALh48SJqa2vh4eEBGxsbWdmkpCTZw6b4+HgAgI+PD4YNu32Z+fr6wtzcHAkJCbKR6/Hx8RBCYPny5X2a0sTKygparVb3OSwsDCEhId2WcXR0hEqlQm5uruzhYWFhIfLy8qBSqQwusH2nTE1NsWLFCgghDJ7HhIQEmJubw8fH547bkkbKdzw+r776qm7R7d6Q1jbIz8/XS29razO4GPtg5uvrC+DXa7SjM2fOGFVXfHw8IiMjZemTJ08G8Ov0RDY2Nli4cCEqKipw6dIlWf6vvvoKGzZs0FtXQhoNLp03rVYLb29vJCcn65WVvisMPUQn6gvGIcYhxqH+xThEREREREREgxVfGA0ypqammDNnDsrLy1FdXd1t3tzcXMTFxaGlpQU//fQTgoODUVlZieDgYIwZM8aods3MzLB3714AQFBQEAoLC9Ha2ork5GRs3boVEyZMwPbt2w2WnTZtGjZt2oTi4mK0trbim2++wb59+zBhwgQEBQXp8o0aNQo7d+7U9bW0tBRarRZqtRp79uyBo6Mj1q1bZ1S/JSqVCtXV1cjLy0NZWRni4uJ6NaXQ7t27YW1tjfXr1yMrKwutra3IysrC+vXrYW1tjd27d/epP72xbt06ODo6Ys+ePVCr1dBqtSgrK0NwcDAqKiqwc+dOjBo16o7bGTFiBCZOnIicnBzU1tbi0qVL+P77741aWNvPzw+WlpY4ceIEjh07hvr6epSVlWHLli0GR/YPZrNmzcIrr7yC9PR0hIWFoaamBg0NDTh06FCvflHR2fnz53H48GHcvHkTWq0WWVlZiIqKwmOPPYaXXnpJl2/79u2YOHEiNm3aBLVaDY1Gg5qaGnz55Zf47LPPsHXrVr2pvezs7GBpaYmMjAw0NjbizJkzKCoqwrhx4/TalxYod3Nz6+MRIdLHOMQ4xDjUvxiHiIiIiIiIaLAyEX1Z1Zf6VVpaGvz9/bFt2zb4+/vLtvv7+yMtLQ2XL19GeHg41Go1amtrYW9vj9WrV+uNBo6NjcWWLVtkdSQmJmL8+PGy9IKCAkRFRSElJQX19fWwtbWFh4cH3n77bd3i0pLU1FSsWrUKgYGBcHR0RFRUFPLz8zF8+HDMnTsXGzduhK2trayNjIwMHDhwAOnp6WhqasL48ePh7e2NgIAAvQWg3d3dZVOnLF26FGFhYbI6KyoqsH37dly+fFn3sPNPf/oTcnJysGrVKln+jiOUy8vLERUVhaSkJNTU1MDa2hpubm4IDAzUe5glLardUWhoKJydnbFgwQK99HHjxuHChQuydjtrbm7G559/jri4OJSUlMDc3BxOTk5Yu3YtnJycdPkiIiIMjiAODQ2Fn59fj+2kp6cjJCQEhYWFsLKywssvv4x3333XqOvj+vXrCA8PR3p6OmprazF+/HgsXrwYRUVFiIuLAwA4OzsjJibG4LkLDQ3FuHHjZOdDKiNd1x1FR0cjLS1Ntu/dtZOYmIi0tDTZfnW8dtrb23H48GEcOXIEZWVlsLW1hY+PD7y9veHp6YkVK1Zgx44dPR1WVFZW4tSpU7hw4QJKSkqg0Whga2sLZ2dnrFmzRjatVV1dHQ4cOAC1Wo3y8nKMHDkSSqUSAQEBmD17tqz+xMRE7N27FyUlJRg9ejTWrl2L5cuX67a3trbC3d0d9vb2iImJ6bG/RL3FOHQb4xDjEOMQ4xAREREREdGDhC+MBql3330XWVlZSEhIwPDhw/W2SQ80Ok/Lcq91fFDXcQQ30VAlPSQPCgpCYGDgQHenRzExMQgNDcXRo0c5FRDddYxDRPce4xARERERERENJE5JN0jt2rULlpaW2LBhA9ra2ga6O0T3lddffx15eXmy9G+//RYAMG/evHvboT5ISUlBeHg4PvroIz6ko37BOETUfxiHiIiIiIiIaDDiC6NBysrKCv/4xz9gamqKY8eODXR3iO4rxcXF+OMf/4isrCxotVpUVFTg8OHDiImJwcqVK4fEg6+QkBCEhYVh5cqVA90Vuk8xDhH1H8YhIiIiIiIiGow4Jd0Q0NzcjEcffdTg+gHSHPr3mlKplKVFR0fDxcXlnveFyFjnzp3D2bNncfXqVdy8eRMmJiZ4+umnsWLFCixfvhwmJiYD3cUeSd8LRPcC4xDR3cU4RERERERERIMRXxgRERERERERERERERE94DglHRERERERERERERER0QOOL4yIiIiIiIiIiIiIiIgecHxhRERERERERERERERE9IDjCyMiIiIiIiIiIiIiIqIHHF8YERERERERERERERERPeD4woiIiIiIiIiIiIiIiOgBxxdGREREREREREREREREDzi+MCIiIiIiIiIiIiIiInrA8YURERERERERERERERHRA+7/AbacDwjZi2iVAAAAAElFTkSuQmCC", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for evaluation_type in [\"Linear Probing\", \"Finetuning\"]:\n", + " df = pd.read_csv(f\"../outputs/classification_tissueden_results_finetune2.csv\")\n", + " df[\"ctrain_label_prop\"] = df.run_name.apply(extract_train_label_prop)\n", + " df[\"Pretraining\"] = df.run_name.apply(lambda x: extract_pretraining_type(x))\n", + " df[\"Classifier\"] = df.run_name.apply(lambda x: extract_finetuning_type(x))\n", + " df = df.loc[df.Classifier == evaluation_type]\n", + " df2 = df.dropna(subset=[\"ROC\", \"ctrain_label_prop\"])\n", + " xticks = [0.01, 0.05, 0.1, 0.25, 1.0]\n", + " df2 = df2.loc[df2.ctrain_label_prop.isin(xticks)]\n", + " f, ax = plt.subplots(2, 4, figsize=(20, 15))\n", + " plt.subplots_adjust(\n", + " left=0.1, right=0.9, bottom=0.1, top=0.9, wspace=0.2, hspace=0.7\n", + " )\n", + " ax = ax.ravel()\n", + " for i, model in enumerate(\n", + " df2.sort_values(by=\"N_test\", ascending=False)[\"Model Name\"].unique(), 1\n", + " ):\n", + " df3 = df2.loc[df2[\"Model Name\"] == model]\n", + " sns.lineplot(\n", + " data=df3,\n", + " x=\"ctrain_label_prop\",\n", + " y=\"ROC\",\n", + " hue=\"Pretraining\",\n", + " ax=ax[i],\n", + " legend=False,\n", + " **plt_kwargs,\n", + " )\n", + " ax[i].set_title(\n", + " f\"(ID) {model}\\n{training_prop[model]}% ID train set, N test = {df3.N_test.unique()[0]}\"\n", + " )\n", + " ax[i].set_xlabel(\"Total number of EMBED labels\\n(proportion of training set)\")\n", + " n_label_train_total = 223086\n", + " ax[i].set_xscale(\"log\")\n", + "\n", + " xtickslabels = [\n", + " f\"N={int(n_label_train_total * x)}\\n({x * 100}%)\" for x in xticks\n", + " ]\n", + " ax[i].set_xticks(xticks)\n", + " ax[i].set_xticklabels(xtickslabels, rotation=90)\n", + " ax[i].set_yticks([0.84, 0.86, 0.88, 0.90, 0.92, 0.94])\n", + " if i > 0:\n", + " ax[i].set_ylabel(\"\")\n", + "\n", + " df = pd.read_csv(f\"../outputs/vindr2.csv\")\n", + " df[\"ctrain_label_prop\"] = df.run_name.apply(extract_train_label_prop)\n", + " df[\"Pretraining\"] = df.run_name.apply(lambda x: extract_pretraining_type(x))\n", + " df[\"Classifier\"] = df.run_name.apply(lambda x: extract_finetuning_type(x))\n", + " df = df.loc[df.Classifier == evaluation_type]\n", + " df2 = df.dropna(subset=[\"ROC\", \"ctrain_label_prop\"])\n", + " xticks = [0.05, 0.1, 0.25, 0.5, 1.0]\n", + " df2 = df2.loc[df2.ctrain_label_prop.isin(xticks)]\n", + " df2 = df2.loc[df2[\"Model Name\"] != \"(OOD) VinDr\"]\n", + " for i, model in enumerate(\n", + " df2.sort_values(by=\"N_test\", ascending=False)[\"Model Name\"].unique(), 6\n", + " ):\n", + " df3 = df2.loc[df2[\"Model Name\"] == model]\n", + " sns.lineplot(\n", + " data=df3,\n", + " x=\"ctrain_label_prop\",\n", + " y=\"ROC\",\n", + " hue=\"Pretraining\",\n", + " style=\"Classifier\",\n", + " ax=ax[i],\n", + " legend=i == 7,\n", + " **plt_kwargs,\n", + " )\n", + " ax[i].set_title(\n", + " f\"{model}\\n{vindr_training_prop[model]}% OOD train set, N test = {df3.N_test.unique()[0]}\"\n", + " )\n", + " ax[i].set_xlabel(\"Total number of VinDR labels\\n(proportion of training set)\")\n", + " n_label_train_total = 11212\n", + " ax[i].set_xscale(\"log\")\n", + "\n", + " xtickslabels = [\n", + " f\"N={int(n_label_train_total * x)}\\n({x * 100}%)\" for x in xticks\n", + " ]\n", + " ax[i].set_xticks(xticks)\n", + " ax[i].set_xticklabels(xtickslabels, rotation=90)\n", + " ax[i].set_yticks([0.75, 0.80, 0.85, 0.90, 0.95])\n", + " if i > 0:\n", + " ax[i].set_ylabel(\"\")\n", + " ax[0].set_axis_off()\n", + " ax[-1].legend(loc=\"upper left\", bbox_to_anchor=(-3.7, 2.60), ncol=1, fontsize=16)\n", + "\n", + " plt.savefig(f\"embed_{evaluation_type}.pdf\", bbox_inches=\"tight\", dpi=300)\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Chest X-ray results" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.set_theme(context=\"paper\", style=\"whitegrid\", font_scale=1.8)\n", + "matplotlib.rcParams[\"font.family\"] = \"serif\"\n", + "for evaluation_type in [\"Linear Probing\", \"Finetuning\"]:\n", + " xticks = [0.05, 0.1, 0.25, 1.0]\n", + "\n", + " df = pd.read_csv(f\"../outputs/classification_padchestfinetunepneumo_results.csv\")\n", + " df[\"ctrain_label_prop\"] = df.run_name.apply(extract_train_label_prop)\n", + " df[\"Scanner\"] = df[\"Scanner\"].astype(str)\n", + " df[\"Pretraining\"] = df.run_name.apply(lambda x: extract_pretraining_type(x))\n", + " df[\"Classifier\"] = df.run_name.apply(lambda x: extract_finetuning_type(x))\n", + " df = df.loc[df.ctrain_label_prop.isin(xticks)]\n", + " df = df.loc[df.Classifier == evaluation_type]\n", + " custom_order = [\n", + " \"ImageNet\",\n", + " \"SimCLR\",\n", + " \"SimCLR with CF\\nin training set\",\n", + " \"Counterfactual SimCLR\",\n", + " ]\n", + " df.sort_values(\n", + " by=\"Pretraining\",\n", + " inplace=True,\n", + " key=lambda x: x.map({k: i for i, k in enumerate(custom_order)}),\n", + " )\n", + " f, ax = plt.subplots(1, 4, figsize=(25, 8))\n", + " for i, s in enumerate([\"0\", \"1\"]):\n", + " df3 = df.loc[df.Scanner == s]\n", + " sns.lineplot(\n", + " data=df3,\n", + " x=\"ctrain_label_prop\",\n", + " y=\"ROC\",\n", + " hue=\"Pretraining\",\n", + " ax=ax[i],\n", + " legend=False,\n", + " **plt_kwargs,\n", + " )\n", + " if s == \"0\":\n", + " ax[i].set_title(f\"ID {evaluation_type.lower()} - Scanner: Phillips\")\n", + " else:\n", + " ax[i].set_title(f\"ID {evaluation_type.lower()} - Scanner: Imaging\")\n", + "\n", + " ax[i].set_xlabel(\"Prop of PadChest training set labels\")\n", + " if i > 0:\n", + " ax[i].set_ylabel(\"\")\n", + "\n", + " df = pd.read_csv(f\"../outputs/classification_rsna_results.csv\")\n", + " df[\"ctrain_label_prop\"] = df.run_name.apply(extract_train_label_prop)\n", + "\n", + " n_label_train_total = 64989\n", + " xtickslabels = [f\"N={int(n_label_train_total * x)}\\n({x * 100}%)\" for x in xticks]\n", + " ax[0].set_xscale(\"log\")\n", + "\n", + " ax[0].set_xticks(xticks)\n", + " ax[0].set_xticklabels(xtickslabels, rotation=90)\n", + " ax[1].set_xscale(\"log\")\n", + " ax[1].set_xticks(xticks)\n", + " ax[1].set_xticklabels(xtickslabels, rotation=90)\n", + "\n", + " xticks = [0.1, 0.25, 1.0]\n", + " df[\"Scanner\"] = df[\"Scanner\"].astype(str)\n", + " df[\"Pretraining\"] = df.run_name.apply(lambda x: extract_pretraining_type(x))\n", + " df[\"Classifier\"] = df.run_name.apply(lambda x: extract_finetuning_type(x))\n", + " df = df.loc[df.Classifier == evaluation_type]\n", + " df = df.loc[df.ctrain_label_prop.isin(xticks)]\n", + " sns.lineplot(\n", + " data=df,\n", + " x=\"ctrain_label_prop\",\n", + " y=\"ROC\",\n", + " hue=\"Pretraining\",\n", + " ax=ax[-2],\n", + " style=\"Classifier\",\n", + " legend=False,\n", + " **plt_kwargs,\n", + " )\n", + "\n", + " ax[-2].set_ylabel(\"\")\n", + " ax[-2].set_xlabel(\"Prop of RSNA training set labels\")\n", + " ax[-2].set_title(f\"OOD {evaluation_type.lower()} - RSNA\")\n", + " n_label_train_total = 8633\n", + "\n", + " xtickslabels = [f\"N={int(n_label_train_total * x)}\\n({x * 100}%)\" for x in xticks]\n", + " ax[-2].set_xscale(\"log\")\n", + " ax[-2].set_xticks(xticks)\n", + " ax[-2].set_xticklabels(xtickslabels, rotation=90)\n", + " df = pd.read_csv(f\"../outputs/classification_chexfinetunepneumo_results.csv\")\n", + " df[\"ctrain_label_prop\"] = df.run_name.apply(extract_train_label_prop)\n", + " df[\"Scanner\"] = df[\"Scanner\"].astype(str)\n", + " df[\"Pretraining\"] = df.run_name.apply(lambda x: extract_pretraining_type(x))\n", + " df[\"Classifier\"] = df.run_name.apply(lambda x: extract_finetuning_type(x))\n", + " df = df.loc[df.ctrain_label_prop.isin(xticks)]\n", + " df = df.loc[df.Classifier == evaluation_type]\n", + " sns.lineplot(\n", + " data=df,\n", + " x=\"ctrain_label_prop\",\n", + " y=\"ROC\",\n", + " hue=\"Pretraining\",\n", + " style=\"Classifier\",\n", + " ax=ax[-1],\n", + " legend=True,\n", + " **plt_kwargs,\n", + " )\n", + " ax[-1].set_ylabel(\"\")\n", + " ax[-1].legend(loc=\"upper left\", bbox_to_anchor=(-3.15, -0.3), ncol=8)\n", + " ax[-1].set_xlabel(\"Prop of CheXpert training set labels\")\n", + " ax[-1].set_title(f\"OOD {evaluation_type.lower()} - CheXpert\")\n", + " n_label_train_total = 13811\n", + " xtickslabels = [f\"N={int(n_label_train_total * x)}\\n({x * 100}%)\" for x in xticks]\n", + " ax[-1].set_xscale(\"log\")\n", + " ax[-1].set_xticks(xticks)\n", + " ax[-1].set_xticklabels(xtickslabels, rotation=90)\n", + " plt.savefig(f\"xray_{evaluation_type.lower()}.pdf\", bbox_inches=\"tight\", dpi=300)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "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 +} diff --git a/evaluation/pngs_for_figures.ipynb b/evaluation/pngs_for_figures.ipynb new file mode 100644 index 0000000..6645eaf --- /dev/null +++ b/evaluation/pngs_for_figures.ipynb @@ -0,0 +1,325 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "\n", + "sys.path.append(\"/vol/biomedic3/mb121/causal-contrastive\")\n", + "from torchvision.transforms import (\n", + " Resize,\n", + " CenterCrop,\n", + " ToTensor,\n", + " RandomAffine,\n", + " ColorJitter,\n", + " RandomResizedCrop,\n", + ")\n", + "from skimage import io\n", + "import matplotlib.pyplot as plt\n", + "from data_handling.mammo import preprocess_breast, get_embed_csv, modelname_map\n", + "from pathlib import Path\n", + "import matplotlib\n", + "import matplotlib.patches as patches\n", + "\n", + "matplotlib.rcParams[\"font.family\"] = \"serif\"\n", + "import seaborn as sns\n", + "from data_handling.padchest import prepare_padchest_csv" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Some random images for figure 1" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "path = \"/vol/biomedic3/data/EMBED/images/png/1024x768/10000879/1.2.826.0.1.3680043.8.498.10392068038916878965464813474172245832.png\"\n", + "path_cf = \"/vol/biomedic3/mb121/causal-contrastive/cf_beta1balanced_scanner/10000879/1.2.826.0.1.3680043.8.498.10392068038916878965464813474172245832_s3.png\"\n", + "img1 = CenterCrop((224, 192))(preprocess_breast(str(path_cf), (256, 192))[0])\n", + "plt.imshow(img1[0], cmap=\"gray\")\n", + "plt.axis(\"off\");" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "path_cf = \"/vol/biomedic3/mb121/causal-contrastive/cf_beta1balanced_scanner/10000879/1.2.826.0.1.3680043.8.498.10392068038916878965464813474172245832_s3.png\"\n", + "img1 = CenterCrop((224, 192))(preprocess_breast(str(path_cf), (256, 192))[0])\n", + "plt.imshow(img1[0], cmap=\"gray\")\n", + "plt.axis(\"off\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "path = \"/vol/biomedic3/data/EMBED/images/png/1024x768/10000879/1.2.826.0.1.3680043.8.498.10392068038916878965464813474172245832.png\"\n", + "img1 = ColorJitter(contrast=0.5, brightness=0.5)(\n", + " CenterCrop((224, 192))(\n", + " RandomAffine(30)((preprocess_breast(str(path), (256, 192))[0]))\n", + " )\n", + ")\n", + "plt.imshow(img1[0], cmap=\"gray\", vmin=0, vmax=1)\n", + "plt.axis(\"off\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Visualisation of counterfactuals" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{0: 'Selenia Dimensions',\n", + " 5: 'Senographe Essential VERSION ADS_54.10',\n", + " 2: 'Senograph 2000D ADS_17.5',\n", + " 3: 'Lorad Selenia',\n", + " 4: 'Clearview CSm',\n", + " 1: 'Senographe Pristina'}" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "rev_model_map" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SimpleModelLabel\n", + "0 374169\n", + "2 13268\n", + "3 10515\n", + "4 8128\n", + "1 498\n", + "Name: count, dtype: int64\n" + ] + }, + { + "data": { + "image/png": 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mm2/i66+/xvTp0/1733zzjZ/HzjvvjJqaGrzxxht48sknAQBdunTBPffcg8GDB2OVVVaJHHfatGl4/vnnEYvF/HvPPvss7rzzTsTjcey1114oLy/320aOHIl1110XI0aMwGWXXYbbbrsNu+22G9ZZZx1069YNc+fOxb///W+8/PLL/r5WVVXhqKOOwsiRI3PO/eKLL3bYd8owDMMwDMMwDMMw8hFzS7IZkrHIufDCC3HRRRfl3T5s2DCMGzcuctuZZ56JK6+8Mue9v/zlL/jpp58WKkusf//+mDJlCgDkOF3Itttui5dffjnv8QMGDMB3330Xue2CCy7Adttth+23336B5wdgvnqERV0D0WudMmUKVl555cj92rpmZfjw4bjrrrvybn/ppZcwZcoUHHbYYa223XnnnRg+fHjkcS+//HLB+/btt99iwIABrd5vamrCo48+iqeeegpvvPEGpk2bhrlz56KsrAxdu3bFaquthg022AA77bQTdtxxRyQSiVZjHH/88R32nTIMwzAMwzAMwzCMfJgjzDAMwzAMwzAMwzAMw1gmsEY9hmEYhmEYhmEYhmEYxjKBOcIMwzAMwzAMwzAMwzCMZQJzhBmGYRiGYRiGYRiGYRjLBOYIMwzDMAzDMAzDMAzDMJYJzBFmGIZhGIZhGIZhGIZhLBOYI8wwDMMwDMMwDMMwDMNYJjBHmGEYhmEYhmEYhmEYhrFMYI4wwzAMwzAMwzAMwzAMY5nAHGGGYRiGsYioqanBzJkzl/Q0DMMwlip++eUX1NfXL+lpGIZhGL9SlipH2JNPPomDDz4Yq6++Orp06YKSkhJ07doV6623HvbZZx9ceumleOmll0xxApg1axauu+467Lzzzlh++eWRSqWQSqXQp08fDB48GEcddRRGjx6NL774osPP/fLLLyMWi+W8hg8f3uHn6UgaGhowdOhQVFVV4Y477lgic5g9e3ar+xa+ysrKsOKKK2LzzTfHSSedhMmTJ6OxsbFd4z/55JPo2bMnttxyS8yZM2cRX82vnyOPPBJdunTBxRdfvKSnYuThgQceaPU3dOGFFy628z/88MNYffXV8fHHH+fd54MPPsCJJ56IjTfeGN26dUNJSQm6dOmCVVddFUOGDMGZZ56JSZMmmTMNQFNTEx544AHss88+WHnllVFeXo54PI4ePXpgo402woEHHohrrrkGb775ZrvlorF08p///KfV3/Z22223yM/7zjvv4PTTT8eWW26JHj16IB6Po3v37thiiy1w3nnn4X//+1+7x2poaMDNN9+MwYMHo0ePHqioqMC6666Lc889F7/88ku7x/nll19w7rnnYt1110VFRQV69OiBwYMH4+abb0ZDQ0O7x/n4449x5JFHYpVVVkEqlULfvn2x22674Yknnih4XNeuXQs+t3CsjTbaCMcccwzuv/9+1NXVtTmfN954A2ussQaefPLJdl+D0TFYAMcwjM7M1KlTO2ScmHPOdchIi5DZs2djn332wd///nekUikccMABWGuttbDccsth9uzZeP/99zFp0iTMmzcPAFBVVYXZs2cv2UkvQV544QUcfPDB+PnnnzFw4EDss88+6N+/PxKJBH788Uf8/e9/x8svv+z3P+mkk3D99dd32PmnTZuG559/HgAwYsQITJ8+HcOGDcO4ceM67BwdzXvvvYdNN90UALDeeuvho48+WuxzaGhowIQJEwAAjzzyCCZNmgQAOPvss7HWWmsBAObMmYOffvoJr732Gl5//XU0NDSgf//+OPfcc3HkkUcWHF8faB9++GHsvffei/Bqft3MmDEDPXv2BAB06dIFc+fOXcIzMqL47rvv8OqrrwIADjnkEADABRdcsFicYRdeeCEuuugiHHHEEbjlllsQj8dztjvncOqpp+L666+Hcw6///3vMWjQIPTr1w/19fX48ssv8cgjj3hlX1RUhHfeeQcbb7zxIp97Z+S///0v9thjD3zwwQeoqqrCgQceiFVXXRXdu3fHjBkz8Pbbb+Oxxx7zgbANNtgAH3zwwZKdtLHIqK6uxuTJkwEAl156Kb744gtsu+22Oc82Hcnnn3+O4cOH4+233wYA7LTTTvjNb36Dvn374rvvvsP48eMxZcoUVFRU4NZbb8XBBx9ccLxffvkFu+66K95++22stdZaOOyww1BWVobHH38czz77LPr06YPJkydj0KBBBcd56623sNdee+HHH3/ELrvsgt122w21tbW488478fnnn2PzzTfHE088gV69ehUcZ+zYsTj++OPhnMOhhx6KzTffHFOmTMGYMWMwY8YMHHHEERgzZgyKilrHzx988EFkMhm8+uqrGDNmDADg6KOPxjbbbAMAmDdvHn755Rf885//xD/+8Q/U1taiV69eOPXUUzFy5EgUFxdHzimdTmP48OGYOHEiLr/8cpxxxhkFr+HXwgMPPIADDzww573FpbeA5ufDE088Effddx+23XbbyH0++OAD3HHHHXjttdfw7bffYt68eSgtLUXv3r2x6qqrYsMNN8SgQYOw7bbbonv37otl3p2dxsZGPPLII3jyySfx9ttvY9q0aaiurkZlZSUGDBiA9dZbD1tvvTV22mkn9O/fP+fYl19+Gdtvv33Oe53drlrcPPnkkxg2bBhWW201PPPMM6iqqlrSU1oszJw5Ew888ACefvppfPrpp/j555/R2NiIbt26YfXVV8cGG2yA7bbbDttvvz26detWcKx0Oo177rkHjz76KD788ENMnz4dTU1NqKqqwoABA7D22mtjk002wTbbbIMNN9wQsVhsMV1la5ZbbjkMGzYMl112Wavn6/nCdXKy2azbbrvtHAC34YYbuh9//DFyv59++sltuummDoBLJpOLeZadh88++8ylUikHwJ1zzjmusbExcr8nnnjC7/enP/1pkc2nf//+DoAbNmzYIjtHR1BfX++GDBniunTp4m699dYlPR13wQUXOAAOgHvppZci9/nvf//r/vjHP/r99t13X1ddXZ13zEcffdR1797dbbrppm7mzJmLaObLDsOGDXPl5eXu3HPPXdJTMdoB/04uuOCCRX6u6667zv9NZrPZyH34N15VVeX++c9/Ru5TX1/vjjjiCD/3N998c1FOu9NSV1fn1lhjDQfA7bLLLm727NmR+3311Vdu5ZVXdgDcGmussZhnaSwptt12WwfAbbvttovsHPfff7//Oxw/fnyr7TU1NW6HHXZwAFxRUZF76qmn8o6VyWTcVltt5QC4rbfe2tXW1uZsHzFihAPgevXq5b777ru840yZMsX16tXLAXCnnHJKzrba2lp/jq222splMpm84zz++OOuqKjIxWIx9+ijj+Zs+89//uPPcfrpp+cdwznn7rzzTn+P7rzzzsh9pk+f7k4++WQXi8X8ZzZt2rS8YzY2Nrrf/e53DkCneDZbHEyZMsWNHz/ejR8/frHqLeda9NIRRxwR+Z3JZrNuxIgR/vP7/e9/7y666CJ3++23u5tvvtmddNJJbsUVV/TzLioqcu+9995imXtn5qmnnnKrr766A+BWW201N3LkSDdq1Ch32223uUsvvdQNHTrUlZSU+Pu2ySabuLFjx/rjf/rpJ/+d6Nmz51JhVy1udt11V3//Hn744SU9nUVONpt111xzjevatauLxWJu8ODB7sILL3Rjx451t956qzv77LPd5ptv7u9JSUmJ+/3vf+9efvnlyPE++OADt8oqqzgArk+fPu7kk092119/vbv99tvdZZdd5oYOHeqKi4v9eHvsscfiveCA++67zyWTSTd48GA3a9asBR6n0zvCnnvuOX/TX3311YL7fvXVV66oqGiZdoQddNBBXtDmM8DI+eefb46wTkp7HGHk8ssv9/vuueeebX7uhrEssrgMio8//tiVlJS4Hj16uBkzZkTuM3fuXB+I+Mtf/lJwvEwm4wYOHLhMO8LGjBnjALhYLOb++9//Ftz373//uznCljEWpyNsv/32y7vP1KlTXTwedwDcmmuumXe/UaNG+e/zZ5991mp7XV2dW2mlldo83x/+8AcHwK200kqurq6u1fZPP/3UOyxuvvnmyDHq6uq842L//feP3OeWW27xTo1PPvkk73za4wgj9957rysqKnIA3KBBg1w6nc677w8//OAqKytdIpFwX3zxRcFxf21YAGfp569//asrKipyiUTC3XLLLXnv7X/+858cx8UGG2wQuZ/ZVdEsS8H+uro6t//++zsArl+/fnmdW84598ILL7jlllvOf69OOumkVvv8/PPP3sE6fPjwvPL47bffdt27d/dBySXNvffe63V/fX39Ao3R6XuE/f3vf/c/b7bZZgX3XXXVVbHlllsu6il1ani/NtlkkzZTFlkqZCzdnHnmmdhvv/0AAJMnT8Zf//rXJTwjw1h2Ofnkk9HY2Ijjjjsub0nIG2+84XvktKXX4vE4DjjggA6f59IE9Vrv3r2x4oorFtx3++23R79+/RbHtIxlkN133z3vtn79+mHzzTcHAHzxxRf46quvWu3jnMPll18OANhqq6182wMlmUzi0EMPBQBMnDgxcpx///vfeOihhwAAhx56KJLJZKt91l57bWy11VYAgMsvvxwuohPK3Xff7cuvjzrqqMjr+uMf/4jS0lJks1lcccUVkfvMLwcddBBGjhwJoLm887TTTsu77/LLL4+jjjoKmUwGJ598coec38jlk08+wWmnnYYePXpg9OjRkfbDvHnzcOWVVwIARo4cmbdsN5FI4JZbbsHAgQMX6ZyXBu655x6ccsopyGazuOuuu3DMMcfktc0GDhyI559/3u7bArL77rtjxowZeOedd9osAVza+fOf/4wJEyagqqoKzz//fN4SZgDYcccd8cwzzxQsH7z++usxffp0dOnSBaNGjUIqlYrcb7PNNsM111yz0PPvKA466CD84Q9/wD/+8Q9ceumlCzRGp3eETZ8+3f/cnuah5513Xocp6qUR3q/23KtVV10V1157Lfbdd99FPS1jEXPNNdf4PhuXX345qqurl/CMDGPZ4+OPP8aLL74IAAV7BM2vXjvooINw9dVXt+obsqzA+zVr1iw0NTW1uf+11167zPQTMhYPv/nNb/D4449j1113LbjfSiut5H/+73//22r7m2++ie+//x5As4GSj5122glAs+Ps4YcfbrX9oYce8o6t9owzdepUvPXWW622T5w4EUCz84I9vUIqKiq80+Oxxx5DJpPJe7754YILLkDXrl0BAGPGjMF3332Xd186Bp955hl8/vnnHXJ+owUL4HQ8U6ZMwZ/+9CcAwK677tqu+1FZWemdjYYRxcSJE/2ibueddx7WXHPNNo/ZaKON/HcxCgYb11lnHZSVlRUc64ADDli4nlwdzPnnnw8AuOKKKyJ1blt0ekeYenXvvffeNvffZZdd2owY1dTU4JprrsHWW2/tV/3p2bMnBg8ejJEjR+K1115b2GkvMXi/3nzzTXz77bdt7n/KKaf4B6V8fPzxxzjqqKMwcOBAlJaWorKyEmuvvTb+/Oc/d9gDyS+//IJzzjkHG2ywASorK1FaWor+/ftj//33x7PPPht5zNZbb91qdaIpU6bg+++/x7HHHov+/fsjmUyib9++OOSQQ/DNN99EjjNgwIBW40SRzWbxwgsv4IQTTsDGG2+MqqoqxONx9OrVCzvuuCPGjBnTYQ+I88uKK66I3//+9wCaG7nz4RYAxo0b1+bKeeeee26rfcaNG4e6ujpcfPHFWGONNVBaWoqVV14Zf/rTn/yDPNBspI4YMQIrr7wykskkVl55ZZx++untcsYtyc+dfPbZZzj66KOx+uqro6ysDKlUCiuvvDL22WcfjB49GjNmzMjZf7vttos8fz4aGhpw6623Yscdd0SvXr2QSCTQp08f/P73v8f48eORzWZbHfPCCy/kXXn1vvvuw1ZbbYWqqiqUl5djk002wejRowteY2NjI0aPHo3tt98ePXv2RDweR7du3bDFFltg5MiRvqH80sy//vUv7L///n6V3JVWWgnDhw/HZ599Nl/j/Pe//8Upp5yCddddF126dEFZWRlWW201HHXUUW0uojF+/HgAwAorrIDVV189736q1+67774257T22mtj5MiRWH755fPu45zDAw88gN122w3LL788EokEqqqqsP766+OII47AI488ssTk08LC+1VfX++zYAqx33774bDDDiu4T2eQPcCCyYeQhx56CDvssAO6d++O0tJSDBw4EMcccwy+++67yFWc99xzTwD55X5DQwOuueYabLLJJqiqqopclbG2thb3338//vjHP2KNNdZAeXk5UqkUVlxxReyzzz545pln8s43POeAAQMAAI8//jiGDh2K3r17I5lMol+/fhg+fDi+/PLLNu+B8swzz2DnnXdGjx49UFpainXXXReXX375fK2gGNK3b1/suuuubTZg1hWZy8vLW21/6aWX/M8bbbRR3nF0UQytjOjIcZqamvDKK68AaJYxiUSizXHmzp2Ld999N+9+80NZWZmvTMhkMgVX7F5//fWx3HLLAWjOYjM6DgvgLBquvPJK1NbWAmheOKy97LHHHstMo3dj/nDOefuttLQUxxxzTLuPHTZsWN5t85NEU1paiptvvjlvBvHiZt1118VGG22ETCaDUaNGzf8AHVaouYiYPHmyr2tNJBLu2muvjeyF0F7ee+89t8IKKzgAbt1113WXX365Gzt2rDv33HPdqquu6s81dOjQDryKxceee+7pr2GttdZyr7322kKNd9lll/na9iOPPNKNGTPG3XTTTW7vvfd2sVjMFRUVuWuuuSbv8e2pZX/22WddVVWVA+B+97vfuRtvvNGNHTvWHXfcca68vNz3rgg/92effdaNHz/eHX300f6an3rqKbfiiiu64447zt12223uiiuu8P11evbsGdlfZtKkSW78+PFur7328uNEcd555/ntO+20k7v66qvdLbfc4kaMGOFrpjfbbLMOqU2fnx5h5JprrvHHHHTQQf79r7/+us3Gqx988IEbP3687xGB/+8psuWWW7oDDjjAjR492l100UW+EfWKK67opk6d6n788Ue38cYbu1NOOcWNGTPGnXrqqa60tNTXbDc1NeWd75L+3J1z7sEHH3TxeNwlEgl3yCGHuBtuuMHdcsst7oQTTnBdunTxcud///ufP+a5555rdf5vv/02cvyvv/7arbXWWg6AW2WVVdxFF13kbrvtNnfOOee4vn37+v4oP/30U85xP/74Y2Rj1OOPP95ttNFG7pprrnFjx451w4YN8z1gzjjjjMg5VFdX+6bJa621lp/DZZdd5rbeemt/Dccdd1zez6qzc9ttt/kmnltttZW77rrr3OjRo90RRxzhqqqq3PPPP9+uXit33nmnSyaTXgfceOON7tZbb3WHHHKIKy4udkVFRe7888/Pe/wGG2zgALghQ4YUnO8vv/yS0xj3iCOOcD///POCXr775Zdf3DbbbOMAuOWWW86dccYZ7rbbbnOXXHKJX2yG2wotqNFZuf766/01VFVVubvuuqugbGmLziB7nFtw+UCamprc4Ycf7vtNHXjgge7WW291f/vb39wuu+ziunTp4q666io/17PPPtuNHz/e9xOJkvu33HKL22qrrdzWW2/trrvuOjdq1Cg3aNCgVj24+H2Lx+Nu2LBh7sYbb3TXXXedGzZsmP9uH3XUUZHzpmzjGP3793dnnXWWKy8vdyeccIIbO3asu/rqq92GG27ogOYFkMIm7or2CLvmmmvc6quv7i677DJ3++23uxNOOMH/TefrgdWR8PPs0qVLZJ+VAw44wN/rtpqI8zvat2/fVtv69Onjz1OI999/P/K5wDnnvvjiC79tt912KziOfkfGjBkTuc/89AgjDz30kD9m8ODBBffdcccdHQC30UYbtWvspYH33nvP7bfffq5Pnz4umUy6FVdc0Q0bNsx9+umnzrn29wj77rvv3IgRI9w666zjKioqXGlpqVt11VXdkUce6T788MOCx5522mkOgFthhRUK7vfkk0/6+fzud7+br+vMRzabdffff7/bddddXZ8+fVw8HneVlZVuvfXWc4cffrh7+OGHF7j3z5KktrbW9wHt1q1b3oXL8vHUU0/llXnt7RH2888/u7PPPtutv/76rkuXLi6VSrmVVlrJ7bfffu6ZZ54peOzHH3/szj//fLfNNtu4nj17upKSEldVVeU23XRTd/7557tffvkl8jh91uKL83zooYfcTjvt5Hr16uWfWwu9wu88rzvcR+VOe/9eXn31VXfQQQe5FVdc0SUSCVdVVeU22GADN3LkyEidPWzYsMg59u/fv9W+++23n9elIVHX0F5Z6ZxzL730UrtldkhTU5MbN26ce+utt1pt22yzzfxzxIL29Cv02d9zzz1u8803d+Xl5a53795u1113zZlHQ0ODu+6669y6667rSktL3XLLLecOPPBA9/XXX7fr3JRhyy+//HzPu9M7whoaGtw666yTc2N79erlTjrpJPfKK6/Ml3D5+uuv/YPFvvvu6xoaGnK2ZzIZt/vuuzsgf5PCtsj3xzI/r4Vp+Praa6/5BqR8bbbZZu66667La6zng8ZHKpWK/MO47777/Dnuv//+yDHaEthvvfWWSyQSDoC77rrrWm3/7LPPXNeuXR2Qv6m/CsGVVlqpVdPAn3/+2X/uhRYGUOdTFGeccYYD4C655JJW26ZPn+7WXnttB8D94Q9/yHuO9rIgjrAXXnjBH5OvUW9bSuLbb7/1+6ywwgru+uuvz9n+yy+/+KaLRx11lDvooIPc22+/nbMPm1UDcBMnTow8T2f43GfNmuWdXQ888ECr7d999513QkX97ej5o7bPnDnTf/+33nprV1NTk7N9xowZXratv/76eZtTcowVVljBDRkypJXcOvvssx0AV1xc7KZOndrq+HPPPdfLtKggwumnn96uh6rOyiuvvOJl3lFHHdWqEe1LL73kgx+FvvtqkP3tb39rtf3JJ5/0zrZLL7201fZ0Ou3n0R6nojpTKGcPPPBA98gjj8yXs6q+vt6vmLzaaqtFrsB2xRVX+PMsyOo6UQ+aC/JaUGbOnOl69+6dM9ZKK63kzj77bPfuu+/O11idQfbwmhZWPlxyySV+Hvfcc0+r7ZdeemnOKk/5dInK/X79+rnjjz8+Z/vcuXNdVVVVzrPJoEGDXElJSeSY7733ng+IjBo1KvKczrU8LxUXF7uuXbu2asTe0NDgg3vJZNI7B0LoCOvdu7fbbLPNWv393HHHHf76FmXj7i+//NKf54QTTojcZ4sttvD7fP/99wXH4ypzAHJW8Kurq/Pvr7rqqgXH+OGHH/y+oaPpmWee8duOPPLIguPo897ZZ58duc+COML+85//5MjAQhx77LEOaG7avzAB8c6CBXB+vQEcfR7v6EU8FmWCgXPOvfjiizm2xMUXX+zGjBnjzj33XG/n9O7dO9KRny+Ie+qpp7pVVlnFj3XggQf6c4wfP94dc8wx/vcTTzzRjR8/vpUDl0kLvXv3dquvvrrfpz3BftLY2OiOO+44BzQHEU466SR32223ueuuu87ttNNOXg6FNu0bb7zhxo8f722GLbfc0o0fP95NmjQpZ7+6ujpXUVHhALjf/va3rc7Pa+jRo4cbNGiQGz9+fLudPc61PM+3JRPml5NPPtmP27dvX/f444/P9xj5PvuTTjrJbbnllu6GG25wf/3rX/3ffCKRcM8995xrbGx0++67b07SxYABA/z3TBMR8qGffVuO/5BO7whzzrlvvvnGR9nCV48ePdwhhxziHn300TajBrvssov/8udbzevnn392JSUlS60jzLlmpchIRPhab7313DnnnOM+/vjjgmNMnTrVGwv5Mk2cc35Z6xVXXLGVge5cYYGdzWb9g/6gQYPynuPKK690QLOn+vPPP4+8Xl5fGPEkhxxyiP8Dz0d7HGHdu3ePvE7nWh4qY7HYfDsdC82lvY4wjfz26NEjcp+2BKgaRKusskpk1gUfRhOJhBs+fHjkOHyA/+Mf/9hqW2f53B977DF//Lx58yKPP+ussxywYI6wP/3pT/6hPd9KV6+++qofI9+DqkaQ/v3vf7fa/vXXX/vtUZH6jTfe2AFwp556auT4tbW1rri4eKl1hDFrpHv37nk/R34W+b771dXVrkePHt4gyQdXwiouLnZfffVVzraPPvrIn+Oiiy5qc961tbU5Waj6SqVS7ve//70bO3Zsmxmmumrsc889F7lPNpv1xs7S6Ahzzrl3333XZ0mFrxVWWMH96U9/ci+88ELBTLHOInucW3j5MG3aNG/87rzzzpHHNzU1ecOlkC5Rud+7d+9Ip9tFF13kLr/8cv/7oEGD3O677x45nnPOnXnmmQ6AGzBgQN599HnpiiuuiNznhx9+8NeZb5UqOsIAuBdeeKHV9nQ67cfI58TpCE499VQHNGeARDmknXM5gd3p06cXHI9/swBynll/+eUX//66665bcIxZs2blPP8pEydO9NtC52fIpEmT/L75nHwL4gjT+RXSxc7lPhcVWr1yacACOL/uAI7q5XyZsQvKok4wePrpp728DZNNGhoa3B//+EcHNNt9hVZ75Tz79evnBg0a1Or7scMOO/j7O2PGDC+jDz744Lxj8jnr2muvjdze1t8LHT49e/Zs9QznXMvnVlxc7F599dVW25nt1bdv38jVPx9//HE/h3g8Hvm9/eqrrxwAd+utt+a9znzQjwHA3XvvvfN9fD7+85//uLKyspzv/VprreUuvfTSyJWN20ID+HvvvXfOc1ljY6PbeeedHdC8uveNN97YKuli2rRp3pnWHrn01ltv+Xnny1jOx1LhCHOu2ct6zTXX+CWlo159+/Z1N998c+SXU1PADzjggILn+u1vf+u23nrrBZrnDz/84D7//POFen333XcLdG7lq6++csOGDcvrEAPgtttuO/evf/0r8nhmmQCFvas33XRTwQfQQgL7ueee88fecMMNec/xySef+P3OPffcVttV2U2YMCFyDFVKc+fOjdynLUfYnDlzCka/Zs6c6Y+/66678u7XHhbEEUbhSgEcRVtKQg2ifMJHy5TyZXztscceDoDbZJNNWm3rLJ/7I4884rc9+eSTkcdPnTrVPf300662trbg+UNH2Jw5c7xS32KLLfJeo3POrbLKKg5oduREZbjyb2ittdbKOwb/zk855ZRW29Zff30/j3xOgpdeesl99NFHBefZGXnvvff8Z3DooYfm3U+zFKO++6NHj/bbCz2cvPLKK36/cAnqp556ym+78cYb230NDz/8cM6S6eGrrKzMnXLKKXnlFp1Dyy+/fN5l2Z1z7uKLL3ZVVVVu9uzZ7Z4bmT179kLrtSiH0oLM47zzznO9evXKe79WW2019+CDD0Ye31lkT0fIh2uvvdaPf8cdd+Q9/vzzz29Tl6jcbysziPz8889uzpw5eberfM33TKOOsELBoyFDhjig2TEZVbZCR1hFRUXeKoE111zTAXB777134QtbQD7//HP/mUZlGBN+noWeRQjLVQDkZPv+97//9e9vvPHGBceoqanx+w4cODBn29133+23RekORcvijjjiiMh9FsQR1tDQkPP3Wyj6f8MNN/j9nn766XaN31mxAM6vO4Bzyimn+OPzBSEXlEWdYEBHWD77UPXXuHHj2pxnvrEmTJiQcw0sG0+lUnk/75NOOsnF4/G8tlihvxd1lkSVLTrXfP8YPIrSzffee68f45///Ger7YcddpjPhgaiM7WvvPJKF4vF3I8//hg5h0IwsA1ggbK2CvH00097B2n4GjhwoDv55JPbnVHNzz5fYsiECRP82GuttVakbUKne79+/do8nz7DjBw5sl1zJJ2+WT5JJpM49dRTMWXKFLz66qs45ZRTsOqqq+bs88MPP+DPf/4z9t9//1YNZtkIEmh7tZNnn312gZtHL7/88lhzzTUX6qWrDi0oq666KsaNG4dp06bhnnvuwR/+8Ad06dIlZ5+XX34ZgwYNilyR6IUXXgDQvPJLnz59MH369MiXNnSMWpGoEDwHAKyyyip5z6ErWLR1jjXWWCPyfW1Orc1s54fKykr06tXL/97Q0IBZs2b5eepqZj/88MMCnWNhmDdvnv+5IxptrrbaapHv6/co3z6VlZUAgNmzZ7fa1lk+90GDBvklgvfff39ccskl+Omnn3L26devH4YMGYLS0tKC5w957bXXUF9fD6BtecPtM2fOxPvvv593v3zXCMCvvBX13eayyv/85z+xww474Pnnn28lH7fbbjust956BefZGVE5Xahh9LrrrltwHP1OFvq8NtlkE7+Yhh4DIGdxiEJNp0P23ntvvPXWW/jyyy9x2WWXYdCgQTkLdtTW1uKvf/0rBg0ahJ9//jnn2M8++8zLmk033TTvQh9A8+pCs2fPXiDZUFVVtdB6rT0rG7VnHhdffDF++OEHPPPMMzjmmGOwwgor5Ozz1VdfYb/99sOpp57a6vjOIns6Qj501Hc/ZJ111mnXfr169fJyHgDS6TRmzJjh72FRUcvjZVv6sKKiwjfMj4LX55wr+Gy26qqr+tWTQwrJyIWltrYWBx54IOrr6zFy5Ejsv//+efdVXdLW4hW6Xb+THTFGR46zMOhzC1D42SWZTPqfl+aVsf/1r3/hgw8+ANC8mmBFRUXkfoW+R0DzAmJczIeLDkTBJtlNTU246aabcrbpwkf5VotUSktL8cgjj+Dhhx/G5ptvnrOtrq4OTz31FI466ij069cPp556aqvPl9x4440Amm2mfAt2xWIx7LPPPn7Bjvllr732wueff77QrwVh7ty5/ueO/HtpixdeeAGffvopgObFCvIxdOhQAM0yNVyIbvvtt8fUqVPz6pXKykqv9/7xj3+0OadVV101cqz99tsP48aN878fccQRAJq/R1GLCGUyGdxzzz3Ybbfdcmyx9nLDDTcAAIqKivL+bcViMb/w2D//+U98/fXXOduHDh3qV0ycNGlSzrampiY8/vjjOOaYY/zCHo888kirc0yaNAlbbrkl+vTpM9/XsCi/V0OGDMHnn3+OE088MUe3A8DXX3+N66+/HltuuSU22WSTyAVcolh77bUjdbs+N+2www45zwtkrbXWAtAso/LJEaKya+rUqe2aG1lqHGEkFoth6623xrXXXouvvvoKn3zyCc4991z/pQOalxYNV1H7z3/+43/u16/fYpvvkqayshIHH3wwHnzwQUyfPh1PPPEE9ttvP/+w2NDQgOHDh7daKeKrr77y23v37o1evXpFvlT5hk6EtuA5AHjBFvVaZZVV2n2O0NlH9AGqsbFxvuapvPfeexg2bBhWWmklJBIJdO/ePWeuhEtML050RZ8FURIh+e6lCqy29om6153lc+/bty+uv/56FBcXo7q6Gueddx5WWGEFbL311rjiiity5jm/qLwJDfUQlUd6XEi+awRarjPqfl944YVYf/31ATQ/tPz2t7/F8ssvj8MPPxyTJ0/2BvnSiK6M27dv37z7qVMiivZ+XmVlZV7hhp+V/s0vyNLSq6++Os466yz885//xA8//ICbbropx4nx+eef44QTTsg772VJr5WUlGCXXXbBLbfcgu+//x5vv/02TjrppJyHt7/+9a94+umnc47rLLKnI+RDR333Q8IH4EI88sgjGDp0KLp3746ysjL07NnT30OuTAm0rQ/ppMqH3qNCK/QuqIxcGJqamnDIIYfggw8+wEEHHYQrr7yy4P46x7buSzqdjjyuI8boyHEWBn1uKS0tjVxpk6hc1fksbVgA59cfwNH5Ls7vakcEe7hiL2lqasKcOXNyjqfztj1B//YGV3bccUfvNIlaQfbRRx/FjBkzvMNsfmFCzEorrYSmpqa890Z1Znhvqqqq/OrJkydPztn2yiuvYPr06dh3332x2267AWhewVg//x9++AFvvfUW9tprrwW6hkX9verTpw9uuOEGTJs2DY888giGDRuGnj175uzzr3/9CzvttBP+9re/tTleRyRUAG0HsBYmSFIyX3t3QtZZZx385S9/wRlnnIFDDz3Ue2jvuOMOHHvssX4/9SYyC2RR8OOPPy50xLGsrKxDssJCEokEhg4diqFDh+L999/HkCFD8PPPP6O6uhoPPvggjjvuOL8v71dFRUUrr3c+2nqgD9HPZPTo0TnGRz7a8oBHeZU7ihtvvBEnn3wystksNtxwQ4wcORIDBgzImdPOO++8yM7fFpotsMkmmyz0eO25lwtyvzvT5/6nP/0JgwcPxjXXXINHHnkE1dXVeP311/H666/jrLPOwk477YQbbrgBa6+99nyNq9fYVjaZbi8kOxb0Grt374533nkHY8eOxdixY/Hhhx/i559/xp133ok777wTPXr0wOmnn46RI0cu0r+fRYEqvEJyvaSksKpbkM+rvr4e9fX1XgHr+RsaGgqO0RZ9+vTBcccdhz//+c+48sorcdZZZwEAHn74YcydO9c/ICwuvTZnzhz8+OOPCz1OR2SFRbHZZpths802wznnnIM999wTb7zxBoDm54Df/e53fr/OIns6Qj501Hc/pD3X09TUhIMPPhgTJkwAAOyxxx4YOnQoVlxxRX++Dz/8ECNHjmzXOfNlcRG9vkKR4cUtv5xzOProo/HII49g3333xV133dXmHAYMGIB//vOfAIBp06YVfG6aNm0agOasGXUCJZNJ9OnTBz/99JPfp60xAKB///6t5hK13/yOszDMz3OLytX5zdLuTCypAM6MGTMWWQDnrLPOwk8//YSHH34Yt956Kz755BMALQEcyopw3r/WAI4GoxdFFmo+wmBPe4gK9vz444+47rrr8MQTT+Df//53TsWL0p6gf3uDK7FYDIcffjjOP/98vPfee/jwww+xwQYb+O233347VlhhBeyyyy7tGk+ZO3eul2FTpkxpd7JA1L3Zc8898fzzz+PLL7/EF1984Z9rJk2ahD59+mCLLbbAzJkzcfvtt6O2thbPPfcc9thjDwDNzjzn3AI7whbX9yqVSmGvvfbCXnvthaamJrz66qu45557cO+996Kurg7OOZxyyinYYYcdCjrsOyKhAmg7gLUwQZKl3hFGKioqcNttt3nv62effZazfX4iXwvDWWedhbvuumuhxth2223x8ssvd8yE8rDRRhvhoosu8s7CqPs1a9YsZDKZvGnLC4t+Juuttx623HLLRXKejuDjjz/GiBEjkM1m8dvf/hbPPPPMAqVqL0peeukl//Oi+sw6gs72ua+33nq46667MHr0aDz77LOYMGECJk+ejHQ6jRdeeAGDBg3Cv/71r7xRiygWNNLeESWtUSQSCRx33HE47rjj8NVXX2HixIm477778Omnn2LGjBk444wz8M033+DWW29dJOdfVGhJSaH7nO8hjoSfV6EHN35eyWQyJwqlc2mrzKi9xGIxnHnmmZg8eTLeeustNDU14csvv/TR/8Wl1yZNmoTDDjtsocdxznXAbPLTq1cv3H777T6lvtBzwJKUPR0hH8Lvfr7vbFvf/QVhzJgx3rC95JJLcM4557TaZ34ccG3NUe9RR2YjLQzOORxzzDG44447sNdee+H+++9v1zVrdsTUqVOx8cYbR+43b948b+hEZVSss846+Omnn/x++XSHlr6F46y66qpIJpOor69vs5yk0DgLw/w8t6hczVdOuDRgAZxffwBHnboLU10wv3REsOf111/H0KFDMWfOHPTp0wcXXHAB1lxzzRzH7KmnnoqPPvqoXXOanwDFYYcdhgsvvBDZbBa33367zzqaOnUqnn/+eZx11lltBk6i0PsycODAdj/rDhw4sNV7u+++O44//ng45zB58mSceeaZ/ufdd98dRUVF2GmnnVBRUYHq6mpMmjTJO8ImTZqE9dZbL3Lc9rDJJpvgmWeeAbD4vlfFxcXYbrvtsN122+Gcc87BkCFDvHP0rrvuwtVXX5332EWVUBGyMEGSTh/+nzBhAvr06ZOjLPPRvXt3X3caPnBrP7H//e9/HTvJTsTee+/ty6DaQo2A8H7R6M9kMvNd8the1LHw3XffLZJzdBQTJ070D+unnHJKp3OCTZkyBc899xyAZmNw3333XcIzyk9n/dxTqRT22GMP3Hffffj+++/xpz/9CUDzQ+uFF144X2OpvFEDIgrdHvY9XBSsttpqOPvss/HJJ5/gueee85Hk0aNH49///vciP39Hog95hVL0Z82aVXCc9n5e6XQaM2fObHUMkBuRb+t8U6dORZ8+fXDppZcW3I/kk9XLil675ppr0KdPn4Klw2TNNdf0pXb59BqwZGVPR8iHjvruLwj3338/gOYH2FNOOWWhx4vqJanod3vllVde6PN1BCeccALGjBmD3XffHRMmTGi342/77bf3P7NPVBSaKbXDDjss8Dj/+te/8o5TXFyMbbbZBkBz5k4hBz7H6dKlCzbddNO8+80P1dXVvhdQMpnE4YcfXnB/9sMClu5MokUVwCnEkgjgDBo0CAB8AGdB5r0wTJo0CWuttdZCvxaErbfe2hvkH330Uau+rIuKMNiz0047tfkaPHiwPyaTyeCAAw7wTrCPP/4Y5513Hv7whz/kHDO/JfftpV+/fj7j69577/WtO+68804459qUEfnQ+1JcXNyu+7LTTjtF6pt+/fp5Rycrpt555x1MnTrVZ3qlUikMGTIEAPD444+jsbERs2fPxssvv7zA2WAA8Nvf/tb/XKin8KJi5ZVX9r3WgNbBxiXFwgRJOr0jLJ1OY9q0afjiiy/atT8ffMPUbY00vfvuuwXHGDlyJA444AD897//nc/ZAuPGjYNrXo1zgV8Lkw02c+ZMfPbZZ+2qkVUjIbxfWuLHMpN87LzzzigpKclZkKA9zM85LrnkEpSUlOD888+fr3N0FOoMXHHFFSP3WZLNW5mtBgBnn312wT4bS5rO8rm///77OPfcc1v1rwCaneq33nqrV3YffvjhfI299dZb+0hnW/KG27t3716wX8iCcu211+KBBx6I3Lbzzjvjlltu8b+3N8LXWaARB+QafCEs08iHficLfV7vvvuul5th9sJqq63mHeRR3ymlqakJ06ZNa/f9VlmtZfNrr722d8C99957Bce44447cMABB/ho4vwwfPjwhdZrC5MNVl1djWnTprU7AprvOaCzyJ6OkA8d9d1fEKgPe/TokTf6Oj/6sLq6uqBjktfHHrFLmhEjRmDUqFEYOnQoJk6c2Kqk7Mcff8Smm26KMWPGtDp28ODB/m+20DMTe/2wYXiIBrvaM06/fv2wxRZbtNr+hz/8AUBzptBrr70WOUZ1dbXvlbPbbrvlOFIWhnPPPdc3fz7mmGPyPlsRytWioqLFEjRaVFgA59cfwEmlUt5pM3PmTLzyyivtPvaTTz7BnnvuiT333HO+m/UvbLDntdde89+l4cOHt+oPtThgD7CZM2di0qRJcM7hzjvvxLbbbtuuDLcoKisrfS/x77//fqEdk+yB+c477+CHH37ApEmTUFlZmRNsoMNr5syZ+Mc//oEnnngCDQ0NC+UI22abbfzCVs8//zxqa2vbfewDDzyAPffcEwcccECr7M+TTjoJffr0aVfP4EJJNEuKhQmSdHpHGGEEshBTp071D31c9YGsvvrqvlfIE088kTcC+fXXX+Paa6/Fa6+9ttRGnJqamvDggw+2uZ82EtY+KkDzQwkbZ9522215x/jyyy/x4osvom/fvn51uvay4447+triCRMm5H1wrq+vx5133olsNosDDzxwvs7RUSy//PL+53xO2bYMmkXFxRdf7Js27rPPPjjppJOWyDzaS2f53D/88ENceumlBVeFY/+O+Wkgzf1ZSvbWW2/lNeBff/11vyrN8ccfv0Ap321x4403Fkxd1gfh+b3OJc1GG23knQNPPPFE3u9SW/Lw4IMP9g9848ePz7vf3XffDaA5oqg9FYHmdGw+oLQncwlobqTalvGRzWZ9tufGG2/caqWhE088EUCzQZEvc7qpqQl/+ctf8OCDDxZcna+z057ngDfffNOXlIXPAZ1F9nSEfDj44IO9QyKfo9s5h4ceeqgjpw6gRR/+8ssv3sAOmV99OHHixMj3f/zxRx8c3GWXXdp0lixqTj/9dFx//fUYMmQIHn744cgG4/X19XjvvfcinRzMlgGajU7NlCGZTMbLmn322Qerr756q33WWGMN7yAbP358ZDbPF1984Z1bZ555ZmQm+6GHHuqfdfM96913332ora1FUVGRn/vCMm7cOF/2NHjw4DYXGQBaSoHWX3/9RVpSt6ixAM6yEcA5++yzfXbK9ddf3+7jbrzxRjz66KP48MMPI//2C7GwwZ72BP2BRRv433333X0vrNtvvx0vvvgipkyZssBN8gnvTW1tbcEsWqDZZxCPx/M+y9ER5pzDo48+ikmTJmHo0KE5+iBcYXLSpEkYMGAANtxwwwW+hlgs5h3RtbW1kcGWKLLZLC6++GI8+uijSCQSrYI3c+bMwbRp0/DNN9+0OVahJJolhcqu+f2bgevk3HnnnQ6AA+DOOuss19TUFLnftGnT3ODBgx0A16NHD/fTTz+12uebb75xXbt2dQDcgQce6BobG3O219bWuq222soBcGPHjl0k17Oo2XbbbR0A17VrV/f666/n3e/ZZ5915eXlDoD74x//GLnPjTfe6O/9jTfe2Gr79OnT3XrrrecAuPvuuy9yjP79+zsAbtiwYZHb33nnHZdMJv1nkslkcrZnMhk3bNgwB8D96U9/ihxDvyPffvvtAu9zwQUX+H1CPvroI1dUVOQAuHXXXdfNnTs3Z/ucOXPcxhtv7I+/4IILIs/RXnQuL730UuQ+U6ZMcfvvv7/fb//993c1NTUFx21rft9++63f584774zcpz33kp9Z//79I7d3hs+d2zbddFNXW1vb6tj//Oc/rqqqygFwN9xww3yff9asWW7llVd2ANxvfvObVp/NrFmz/N/P+uuvHzkH59r+G2prH26bOHFi5LHHH3+8A+CWX355l06n856js/LKK6/4v82jjz7aZbPZVtvLysra/O5PmjSpoLx75plnXElJiQPgLr300sgxTj31VAfArbDCCgXnrH9nv/3tb92sWbMi96uvr3d//vOfHQBXVFTknnvuuch9Nt98cwfArbXWWm769Ol553XwwQcXnFdnhfIwFou5UaNG5d3v66+/dmussYYD4FZbbbXI73NnkD3OdYx8uOSSS/w57rnnnlbbr7jiCrfccsu1qUvaI/eVUaNG+f0PO+ywVs9ln332mevSpUub5+V9rqiocH379nWfffZZzvaGhga31157OQAumUy6Tz/9NHIcPvdsu+22eefcnn3a4uyzz3YA3EorreSefvpp99JLL0W+7r///oKyJpPJuC233NJ/9uH3dOTIkf5ZNt/3y7nmz61Hjx4OgDvttNNyttXW1rptttnGAXBbbrllq++58uijj7pYLOZisZh7/PHHc7Z9/fXX/jt06qmnFrw/+p3P9z36+eefvc4B4Lbffnv3yy+/FByX9O7d2wFwp59+erv278xstNFGDoDr1q2bmzdvXuQ+xx57bEG9VVNT43r27OkAuK233jrvuY488kgHwBUXF7t///vfrbavv/76DoAbMmRIwTlTTlRWVrqZM2cW3LepqcmttdZaDoDbeOONW22/8sor/bX9/e9/jxyjsbHRDRgwwMViMff5558XPF9n5ZFHHnGxWMwBcA8++GCb+7/55pv+OeOhhx6K3KfQ8142m3XrrruuA+CWW265vN+turo6t8oqq7hYLJYjd//+97/7z+WEE06IPLa6uto/UxWSp+15ds0Hn1lisZjbeuutXVVVVd5nZKXQ38vbb7/ttx977LF5x3juueccALfFFlsUPNeqq67qAPj/J0yY0GqfnXfe2T9fl5WVuREjRrR5De3h5JNP9vIj6m865Oqrr3YAXHl5ufvuu+9abacuPu+889oc67777vP38bHHHovcp63PvqNsTXLPPff4fT/44IM2r0Hp9I6wJ554wpWWlvoLHDhwoBsxYoS79dZb3bhx49x1113nDjnkEP/QNXDgQPf+++/nHe9f//qX69evn3+4vOKKK9zYsWPd2Wef7d8/6aSTFtv1dTSHHnqov1dFRUVu5513dpdccom7/fbb3e233+4uuugi/0AIwB100EGurq4u73hXXXWVKy4udgDcTjvt5K677jp36623uhEjRrhu3bq5oqIid9lll+Uc89NPP7nx48e78ePHeyW9zTbb+PdCXnjhBdetWzdvyP3lL39xt912mzv//PO9UbPnnnu2elh844033Pjx493RRx/tr+e6665z48eP947QDz/8MO8+X3/9tXOu2QAeP368f+AG4OfKfZxrNiq4vW/fvu6cc85xY8aMceecc45bYYUV3Jprrum377XXXm78+PGRhms+MpmMP6/O5eyzz/bvjxo1yp177rlu2223dfF43AFwAwYMcLfddlvecb/++mt/fDi/SZMm5exz3XXX+X2OPvpoN378ePfhhx+2+34/99xzbvz48f4BvGfPnv7c1dXVnepzf+ihh/y25Zdf3p122mnulltucTfddJM7/vjjvdP8gAMOyHGa8xqjxua9It98841be+21vWy6+OKL3e233+7OO+88t8IKKzgAbvPNN2/luK+urs77N6TfqXz78HN1znljOhaLud12281dccUV7vbbb3eXX36523rrrR3Q7Dh/9dVX836HOju33Xabl1NbbbWVu+GGG9yYMWPckUce6ZLJpLvllltaffcfeeSRVuPcdddd3kmy6667uptuusmNHj3aHXrooa64uNjFYrGCDwrvv/++P0+hh5Offvopx0HRrVs3d/jhh7sbbrjBjRs3zt18883uxBNPdCuuuKI3PO699968402fPt395je/cQBcnz593FlnneVuu+02d8kll3gn2TbbbOPmzJkzfze2kzB69Ggv76i7zzzzTDd69Gh35513uquvvtrtu+++/rPbeOON3ZQpU/KOt6RlD1lQ+UCamprc4Ycf7v++DzroIDd69Gh34403uiFDhriVVlrJ3XvvvX4eoUOqkNzXawppaGhwu+22mz9m0003dZdeeqm75ZZb3J///GeXSqVy9CF1WCgfNWBy9913u6qqKnfiiSe62267zV1zzTXeWZBMJt3kyZNbzYPz5LnWXHPNVvKP+j3cJ+pZpBD6UN7eV6GA2LRp09ymm27qALi1117bXX311W7UqFFuyJAhDoDr3bt3wWAmeeONN7yDaMiQIW7UqFHu6quv9t+rTTfd1E2bNq3NcW655RaXSCRcPB53Rx11lH+2oaNt+PDheQPREyZMaPWd1+/RLbfc4i666CI3ZMgQ/zy/3HLLuSuvvLJVQDofH330kR/7o48+atcxnRkL4Pz6Azjk5ptvdsXFxS6ZTLoxY8a0+qzJ008/7fXSyJEj8463KBMM6uvrve4pKytzn3zySc72pqamnL/zReUI++yzz3JkaSHHldLW3wu/U8XFxZE65dtvv3UrrLCCKy4ubvOZmGNRR4UJEs41f/Z6Ha+88kq7rqMtGhsb3SGHHOIAuBVXXDHvuI2Nje7KK690RUVFrqSkJPKanWvRxYlEIkd/hrz33nte32yzzTZ5v8uL2xF2+umne72Zb0756PSOMOeaox6PPvqoGzlypNthhx3cgAEDXHl5uSsqKnIVFRVu4MCBbu+993bjxo1rV0ZDdXW1u/rqq93gwYNdt27dXElJievdu7fbY4895stx0Vn59ttv3ejRo92wYcPcZptt5nr16uUSiYQrKSlx3bp1c5tssok77rjj3Jtvvtmu8T7//HN37LHHutVXX92VlZW5ZDLpVlllFTd8+HD33nvvtdr/pZdeKvhwGMWMGTPchRde6DbZZBNXVVXl4vG469Onj9ttt90iDVbnWv5wo1584NfMqvDFPz7+wRbah7z44otu9913d7169XIlJSWuqqrKbbHFFu7qq6921dXVrY6fn+jzrFmz2nywTqVSrm/fvm7TTTd1J5xwgps8eXKbD5KFHuCZsVVoHyqU9txvdbKGryhBtiQ/d+ec+/LLL91f/vIXt+OOO7rll1/eJRIJl0gkXL9+/dzee+8dGe0odI1Ryre+vt7dcsstbvvtt3c9evRw8XjcLbfccm6XXXZxd911V+Tnp0qi0Heqrc+V5584caIbPny4W3fddV2XLl1cUVGRq6ysdJtssok799xz22UodXbee+8994c//MEtt9xy/nu09957+weE8B7le+j/7rvv3IgRI9zaa6/tysvLXSqVcqussoo78sgj2xVp4vejrazQpqYm98orr7iLL77Y7bbbbm7NNdd0VVVVrri42JWWlrq+ffu6nXfe2V111VV5HRJKNpt1DzzwgBs6dKjr3bu3l0/bbLONGz16dLsNzs7KrFmz3AMPPOCOP/5495vf/Mb169fPlZaWuuLiYldZWenWXHNNd9BBB7mHH364Xde6pGUPWRD5EDJx4kS3/fbbu6qqKldaWupWW201d+qpp7oZM2a4F1980Z//tddeyzmuLedOvkwu55q/v2PHjnVbb721q6ysdCUlJW655ZZzQ4YMcQ888EDkc0D4NxFmDr/++utu7733dn369HGJRML17dvXHXrooe6LL76InEN75F8h/T4/FPpc50cfKJlMxt10001uiy22cF27dnVlZWVurbXWcmedddZ8yeRp06a5s846y6211lqurKzMde3a1W2xxRbuxhtvLJgJFvLhhx+6ww47zPXv398lk0nXu3dvN3To0LxRf8LM6XyvZDLp+vTp4zbYYAN31FFHufvuu2++s49PO+00B8DtuOOO83VcZ8YCOL/uAI7y/PPPu9VWW80BcGussYY77bTT3M033+xuv/12d8EFF7gtttjCAc3ZsVEVCIsrwcC55qwwOmFTqZQ79thj3S233OIuvfRSt9lmm7mqqirXp08fB7QOLBQK4kYFQwrBKi8A7t133827X3uC/aSpqclnU8ViMbf33nu7G2+80Y0aNcodc8wxrrS01CWTSXfXXXe1Ob9XX33Vn2/o0KGR+/zvf//zGYHLLbdc3mDCgnL99de7rl27+sy5iy66yN12221u9OjRbsSIET7rfMCAAXkzL51z7txzz/WOeQBu8ODB7oILLnBjx451d9xxh7v88svd0KFDcxJjwqzQ9gTw25N0MT/BRMKKrLaylqNYKhxhhmEYhrE08P7777vi4mLXq1evNstHDGNRM3nyZP8wGZYeLmnaKqE3DOeanQB0VocZKks7FsD5dQdwlIaGBnffffe5Aw880A0cONCVl5e7RCLh+vTp43bccUd31VVX5XWAL64EA/Lvf//bHXnkka5///4uHo+7srIyt/baa7sRI0a4//73v5EBYecKB3Hb8/1Sbr/9dgc0Z4AXoj3B/pC33nrLDR8+3A0YMMAlk0lXWlrq1lxzTXfccce1q9TQuea/BTqGC7VTGjRokAPgjjjiiHaNO7/MnDnTXX/99W6XXXZx/fr189czYMAAt9dee7m77rqrYOUX+emnn9y4cePcUUcd5bbcckvXp08fl0qlXHFxsauqqnLrr7++O/zww92zzz4beXx7AvjtSbqY32Dip59+6gC4eDzuvvnmm/m+fzHnOknLf8MwDMP4FXDVVVfhjDPOwP7775+3kblhLCw//vgjZsyY4RcAiOLqq6/G6aefjtLSUsyZM6dVk9wlyfDhw3HXXXehf//+mDJlypKejtEJyWaz2GOPPfDEE0/ghhtu8IuDGB3LBx98gE033RTdu3fHl19+iW7dui3pKRmGYbTJAQccgAkTJuCss87CZZddNt/HLzWrRhqGYRjG0sDpp5+OM844AxMmTMAxxxyDxsbGJT0l41fI7bffjo022ijvKtgA/IrCu+66a6dyghlGW9TV1eGQQw7Bk08+iQsvvNCcYIuQDTfcEJdddhl++eUXHHvssUt6OoZhGG3y4IMPYsKECdhyyy1zVj+dH8wRZhiGYRgdzBVXXIH77rsPkyZNwuuvv76kp2P8SmlsbMQ555wTue3mm2/GG2+8gbKyMlx44YWLd2KGsZA8++yz+Mc//oFHHnkEF1xwwZKezq8eC+AYhrG0MHHiRAwbNgybbbYZHn/8caRSqQUax0ojDcMwDGMRMW/ePGQyGfTo0WNJT8X4lXHppZfi3HPPBQBsvvnm2GOPPdCnTx/MmjULTz/9NF588UV06dIF999/P4YOHbqEZ9vCPffcAwAYM2YMXn31VfTs2RPXXXcdAGDnnXdG7969l+T0jE7CtGnTUFlZidLS0iU9lWWK+++/HyeffDIefPBBbLvttkt6OoZhGK3o1asXDjroIFx11VVIJpMLPI45wgBMvWtdNFX/kPNerKQU8apVltCMDMNYVmmY8w1cYzrnveKKvlhx2CdLaEaGYXRGMpkMnnzySTz11FN499138e2336K6uhplZWVYZZVVsMsuu+DEE0/ECiussKSnmkMsFsu77aWXXsJ22223+CZjGEYrLIBjGEZnZsqUKRgwYMBCj2OOMABTRnWHa6he0tMwDMOIJBavwIDjZi7paRiGYRiGYRiGYSz1lCzpCRiGYRjGskQ2m8UPP/yALl26FMyOMQzDWJQ45zBv3jz07dsXRUXWNvjXhOkZwzA6A51Zz5gjzDAMwzAWIz/88ANWXHHFJT0NwzAMAMDUqVPRr1+/JT0NowMxPWMYRmeiM+oZc4QZhmEYxmKkS5cuAICHH34YZWVlyGazcM4hm83m/KxRfOccYrFYznv8OdzfOQd2PWhqavLj6vZMJoOGhgY0NjaiqanJj1lcXIxYLIaioiIUFRWhuLgYJSUlcM6hsbERmUwGc+fORSaTQSaT8ePX1dWhpqYGNTU1mD59OmbOnIm6ujrU1dUhm83mzFmvg9fF647q1sDrKyoqQiwWy5kv4XtR40eNrT8XFxf77Y2NjYjFYj6CmclkcuZvGL9GKJOMXw/8TB977DGUl5fn6BbVN1Hk0zNNTU0+o4Myky+Vy5Sh1DGNjY1eB8ViMRQXF+fomOLiYsTjcT9uY2MjampqcvRTU1MTGhoaMHfuXMybNw/ff/89fvzxR8ydOxc1NTU58y8pKfHjE84xnKtuV72QyWT877xnPJ7XyOukHtT7q2NSp6peLi4uBgDMnTs3cj6G8WujM+oZc4ShuTF+2COsKZZCfWIlOLQIebiWh3bi4ADEEGYdx9D8RpYCE2je8//3c675HwfXvO//79DU1ISsaxaiRbEiHdD/UPz/xgBizT8755B1WTRkGpB12eYT4f+FfrYJDQ2NaGpqREOmwY8PtTViQFGseUxeLwB/fn0v7z1ErHlc+b35uP+feqz5vVhRrHnb/197Dg7+vVgs1nx+f79csxGEGNJ1aWSzDs6ZcWL8+li9TwwVqVyBEiuxVbN+TVCHlJWVoaKiAkDzg3ZTU1OO40oNDhosdFQR7qMP0iqvm5qacoyQ0OEGAIlEIseZxlcymUQ8HkdJSQlKSkrQ0NCA2tpazJs3z+vFbDaLxsZGNDQ0oK6uDul0Gg0NDX58NURomBQVFfnjeE10Rul18Jp5vXSEqcGiRpqep6SkxDvYaLyocRIabaHBpMaLOcKMXztWOvfrg59peXk5ysvLAbTomTDgovI8lIdAi54JZaE6ijiuyuR0Op0TWNG58f1kMomSkhLE43EkEglks1nU19d7R5TqqqamJtTV1aG2tjZnHzqVAPjgDedBfVdSUpKjZ1Svcr6qF4qKivzvdGKFuofXxH3DwEs4Xnj9zjmUlJT4azOMXzOdUc+YIwxAvGoV1Kd/yXmvPtkf3/a73EcgNAqgxkldXR2AZsFLJdDU1IRUKuUjEqS4uDhHQDKarg/pdXV1ze9lm5odR/8vLNVAKU2WeqWRSqV81GXatGlIp9PIZDJIp9OoqanBrFmzMG3aNNTU1GDmzJlIp9NeIdCoAIBkMumFMo2T8vJyr7xCA00NKUZ36uvr/fWrYlUlSOVEwc/7SWXU0NDg3+e4fJ/Roh9++AF1dXVoaDClYfz6eOikYmw8IFdZ2Aq2v06iHC18L8xq4kNy+BCfSCS8bNUxdB+O09DQEOkICw0NnQfPqQ/8/JmOsfr6esybNw9z585FbW2t/5+6RB1YPJ9es45ZUlLi56C6Rp1oUdeg6P1ixgFRHcw5UGcB8E7DMCPPMAxjaUXlrxIlm8OsMecc4vF4K1lK2yQMoDQ2NkY61jSRQB1wzMKlLqRjizqhsbHRZxdXV1fj559/xty5czFjxgzU1tYik8kAyA0S6Xj8WbdzjoUyxHSuYfYb0WANr1GvQ+8hrzMc0zCMJYc5wvLRRtowYXQBQI5CYESipKSkVZosI+FRD/IaJdHtVAx0uIXReyoqlq4wC6Curg719fWor6/351TnlSpAnpNlMKFxxvfDDIMwayFKsKvBoYqUY/M+0pgLlRUdbJynGSiGYSzt5Gsaqg/zUQEYlc9aWhI+qIcP7/kcSGGpjJYg8n2ev7i4GIlEAplMJqf8paGhIafcMkqvhdetGWp8XwMgJMzEVr0Ylo/qPvmyGNTZqA7AUE+H8zYMw1hayed0UbkXOsVImNWVT6+ETqPwPGGGFAPtmvVL2RyPx9HQ0OAdbuoQo21Dua22UzjnMEsNaLHdODaAnLLPfLZMeD2hDtJzayIAx4yyB03HGMaSwxxhBdD0YRWIKsQoTNVpRicY03yZUcbxtF4+VDT8XwU/FUcikUBxcbGPshM63BKJBJqamlBbW+ujD+oIC2vbtUSF59asgsbGRr9PIpHIifhwfDVY9H7pvrzGfMpRrxnIzQ7gveLPvL+mOAzDWNoJo8NR2/i/ZhRTplL2U+dEZe5G6bEoh5nqGuo2GiHUBYzSJ5NJv43j0Bmmfcc4TpS8Vt3Je8BATBhgiSrVibpfUdH6Qs5GNY445zCb2TAM49dAKPOj0IxbDcJoVQczm6L0TKjL9Jyh/gJys5fV1qFN09jYiHQ67Y+rr6/3jjAG/TWDTPtw6dx5fn2feoX2mF6/zl3tpvCa+LsGovT+qh4D4HW0lloahrHkMEdYAVS4q3BMJpPeSUVHUiaT8Q/8rHfXzKVsNut7pzQ1NaG+vt6nGsdiMWQyGZ/NpcKXvVcosNmnRZ1plZWVqKysRHl5OWpra33WmJZt8j3ORzOzNDrPhpXFxcWoq6vLmX8YQS8pKUFFRQUymQxqa2tzxghLUZhRlkwm/XWk02lfeqrHaTaC1vNznqWlpchkMqivr1+kn79hGMaiJHRSqfOFGbIq/1QuUqaqnqGxQH3S1NTkM7e0PJK6hudmli8zuRgQCQ2bsrIylJeX+6ww6kgaRqpfgJbSGdUxhPOPxWJeB/Aawp8ZjKHDDWidTRdmBWiPGG1BoAGXUL/xZ80YM2eYYRhLM9QtWnKuz/J8Xo8KBKieUUI9E2Y28f1wMRbKYpXVLNknxcXFKCsrQzwe921bmHHM66ENBuTqFc47atEXbb0SZglTZ9DRpzqM9yd0XIUBGg1EcXsY0AodY2H7GcMwFi/mCCtAWAufr15c0YwpPnirsgCaBR+dTVoCGWZOackgjwvPr+el0kgmk0ilUigtLUVpaakvY6EzjPtr3xUAOYZCvlJEOucA+IgNDadEIuH313RpTXUO7xWvXw0l3gfNKlClxXunitwwDGNphdleQMsDcigvwwi06hp1ZvF/1RttjcXzRfVxiYr4M6iRSqWQSqVQX1+f01g/JKpEhKi+CB1PGqXXTATqZs1K0PFVN4SGCAlLgKKi/xqgMSPFMIylGcoxlfNh9lO+Mj9CHaMOH+4TZkzl01lhYET3V9uDgXnaNYlEwuuYfPZZmE1M3RDOV1F7i8EnzTADcvtaRjnedB759K1eZ5i1ZgEXw1gymCOsABptVwGqze2jhD3/Z+YXV9DSSL42gmSUwjmXk5ZMJcA+Y2FURgV+U1OTN0SSySTKy8tRX1+PiooK37RYoxoqdNUZx4y10JBgFhzQrAi1HJNz02tjtpdG1VnWqREanluviXPR8lFNf2aJqDnCDMNY2gkfgvOVlYSEukZL6dUxRMdUIbkPtJSch9m/YdZYQ0ODz3ouLS1FWVkZMpkMSktLfePiqExeINf5pLpAdYBmo+l7+r5G1+vr61uV+OvxmhkQOrr0+sKSFo5P/WuOMMMwlmZUxqt8bU8/LC1h14XBNGCvMhXIlaWUzXzuDwMfoT3V2NiIZDLpn/k1yB86w6J0mwaINANO9YKelzaJOsKSyaSfj1ag5AvW6P+hHlc7JuremCPMMJYM5gjLAzO5QgHFNGEKWC1toZKJygoLIwJAS2ZTU1OTXxFRlYOm99LZFI/HvaHCLIKamhrU1dWhvLzcl2DOmTMH8+bN86t51dbW+ig+0Ow4U+cVryNMJ6YzqqamxisJKiJmmtHJptkJWsZDaEgBQCaTyTGC6FQrKyvD7NmzUVdXl9MTB2hpCq1RIaZKG4ZhLI2E2VFR2VJR+6mDSR/4ox60tfRFs4zDsbVxsQZr6GSrrq5GbW0tysrKvI5k8ASA/51lifF4vFU2mK4kST1BZxODMXyPK2IyiKJ9IjXarzpXDTbdJ8xQTiaTPmATokZNeK8NwzCWJtSRH2XThBnA4XO8kk/PZLNZxONx/9xPuc3xVe5zf22FQl3HPseZTCZHz7DfcUNDA9LpNOrr672eIFH9KMOVJHlu6plYLOaD67picaj7qBO1jybny/ui72sgKp1Ot8pGU73FKiFeq2EYiw9zhOXBAa0cMEBLvbg+bJOoqHMYmdcHcn0A16hKqGDUqUaFQoVFZaBCu66uzisK1vGzH4w2vFTFo8Kf0XeWojQ0NPhoiHMuZ7s66qIWAOAx4TXrXPQ+sNSSx2mkXx2LZpwYhvFrICqarWiAISz3i8pMDktDwsizGh5ROoc/RzXeD8/LHo+U+Twm1G35SiL1pY4w3Uf7oQHIu+Kyjh9mJYROMhprUVF5nWOYtWAYhrG0QXmpuiXM1NUewqFcjap64Rj6u+qIUA9FlZdrk3yOw8AKHWfOuZwVicN+loVKLQHkBHRob2hzfO4TNttnL80oPaM2TahjNfjCe6JQnxQKwBiGsfgwR1hech+AmbFFKDT50K4GRujI0vJAFfph3zA9BkCO00gzqdLptD8nG9pTybBJPrPEVGnQmcXMMs6DpSV0grHEUpvS63UyG6uoqAiVlZWora1FQ0ODL8HU6+F1hI4wGj58X6+R/zNTjFEaLZMMI0GGYRhLGxo9BnIzvaKcPKqTwgdtddpQvobRah6nZSFh5q0aJQym8DxhmQgDLZTZamTwOjR7S1c8pr7RSDx1lR7L60ylUr6psmahRd1TNVDo3IoyXELHXFTZkGEYxq8BdeirDuDvGizQ/SnPNdgSFRQJ9Uz40oCI6iZmQdFG0iwyyvt0Ou0D+gzQs00LbQV1UGmQhQuT6UrIYfCf22nr1dfX5w3u87rDbfqeBlWisrNDHRV+PoZhLB7Mk5CHoliLcARyIwDsi6XN3HU/ffBmSYdmhgHwPbxYqkIlxJRgjVhQEWhtPo9JpVJ+zjU1Naivr0dNTQ2qq6uRTqf9ao40KMJlgmkUsdSxsrLSK7U5c+bkRNDpQEskEl5hzZ4925+PSiuMjtAoC2vyw+wD55xf6RLILddJJBL+flH5cZVMM1oMw1gaoUwFWvcd4cN96MTR7KYwC1kdTSQej+fI/VAX6MO+Bhu0ubA2jG9qavLynsfSMUWnlgaEtE+YBlyoR51zPrij+4RlOcxsrq+vzxuh530slBGn5SxqjFA/RZVdamNmwzCMpQnVM0Buf0S2ZlEnjuoZos/ZUdm0yWTS2ylaWs9gSmgfaImlVnlolnJNTY0vi+SL8j9MPAgDRbQbSktL/bXRtlLnH3UWAK+LeC6OGyY38JpV94Y6SHWyBpNUB2rGmeotwzAWH+YIawMKqLDXF7cpGjUJSzT0dy0DUcOFD+j68K3n5M+MonNZYR5HhUFnGtOJKex1vPAhX6PhNHbYx0sjOkBudgFLY8JVyqKMIN0WKlLeP22wrxkDuqAAMwbokAsVtmEYxtJAWIqiGUn5jJAw0hxmOYUP5KprdN9QXoeRbTVOtHcZDQrqF+pHBjsos1VPaEBFswLCCL7ek1CuazlMFOE9iirzCQ2n8LPQ69RoPXVRlN4yDMNYGlAHlwY6VCZGBRnC38NMqNB+0H1Vz0RlSIVOMLUz6uvrUV9f7x1grE5Rmaxz1wW7NPMqyt7Sfshh0oE67cLqlShnWNR9I6r7Qlsq/Fx4DwqNZxhGx2KOsDw4tDiltARSs5rypRBzO39Xw0aFKVNvtccKFUIikcg5jwpmli4mEgnviMpkMqitrUU6nUY6nfbjMkrPxvYsLdGmw9rgcu7cuTnz1tIVOswYKeHcOCbvQRjpoJGjUShVSOrMamxs9A2S2dC4uLgYNTU1/p7qqmUlJSX+/IZhGEsbqkvCcvswSh8ex/9D3RLum8lkvK7QbWGggxm3YZCkqKjIy+yGhgbU1dX57KxwhUhd6VidSUCL8UGDIzQq1AnGrLXwPqlhFRWk0owA3V+NDw0G6b1gD5nQWUZdRB1qGIaxNBHKwiiHVZSOCWV4aM+EwRYG0sNAgmZQacBfHVfUGwx6MDOLbVcof1mhQlsjhNlv2WzWZxurjgozfamLaINowIX7ac8y3Rbl2NIgTBjkoU7NZDI5Opz3J5FIeGecYRiLHnOE5SGG3NRhCikKMGZMhenCQOsacF0RkgKOkQ0tL3HOIZFI+FURNVLPyHs8HveZYIzosH5+1qxZqKmp8SthhWm4qVTKKxptnp9MJv08VDhzVUv2CyPz5s3z18rxaLTQkAsNKRIqEP05/D2VSqG8vBxFRUWYMWOG38Zri8fjKCsrQ21tbc7SxoZhGEsD+sAcBlcA+CBJmAlFfaGyVR+4+UDPY3UcHquZwpr5lclkfFsAHU/Hosxlf0nKbJbglJWVeSOF/V/oJNMembwmllNq30cGi9QZxXsWGnF6LzXjjO+Hzj+9Zzw/M4wZdOFxmu1gxolhGEsbYaA+fJ96QcsVKfPUCUY9pQkBukBKWGYPRJcfMmOYNgK38Xy0kebOneudYdQ9rFShXRIu0KIONQ3UAy3BDiYHcD5qM/E9/h91z6KyjcN7qvpI9ZwuVEZUh+nKlYZhLHrMEVaAMEoSOr3C6HsYYeYYWuaojeDzpdlScWgJTNinhMdpg2F1rNXV1eUoMDq8aJwUErSa2aXGEs9HQgWh77Wnp0oYDQnTlDnP0EGmsIGyOcIMw1haUT0SPiCHy9UDrUvOSegEyjcu0Hr5do2Yc7uOQZ2lhgcNDaClt5Y2HNZsgVB+h9lYNIaoA/KVSEZdS9T1R+1TKKuO2dOF7hGdhlG6zzAMo7MTZhJTvqqM53YNQqg9FOqeMBs5rJbRoEpYKhgSlV3W1NSEdDrtn/WpZ/j8HzbcjxqXTiYN/IQ2W1SJvt6r8Jrz6aFCuifMbA7nanrGMBYv5ggrgEZD6ACikOU2XRFRo+zqqNJGwUSj6NoYOJlMIpFI5KQIa4YVSzf4OyMkbCRPwVldXe2FOksNaZyEqb+6ylcymfTXWVlZ6eerDjBG7xsbG3McfKrgwtUwgdYKIHQ0aokk7zGjO2GaMudUXl6OTCaTUzppGIaxNBE6uRQtMdcHY5auh+9F9dri/9qAnkaBymst0eBcKKMbGhoiSzY0gyqVSqGoqAhlZWW+bFL3jwrs8Dien6WZnKOuRJyv9JPb9X7le4X3XQ23cNUz1V+aZaCLuhiGYXRmooL5oZMlqn1L2NaE70WVBIZBA76nAfVw3CiYRczKGx5TXV2N+vp6ZDIZXzXDBv3M+gqz0QDk6BlW02i2rzrDwgSEfM69QnolKossdHxFOb90DrR5TM8YxqLHHGEF0ChIKFyB3JVBKNSjmjTSmUXHGdBcdsiVWlimyO0U9vpQrqtDatSaEZL6+nrE43FftqLljwCQTCaRSqV85hRTkzUyotEfblfFoFlsusw9DbJ8EQ5VEtxfe8Xky1qgwcHoCDMGdFXNsrIyJBIJpFKpnJXHDMMwOjt0CIV9rsKHbH04J+EiJ9QfWp6i5enUNWroMJtL908mkznGimYd88XyDeoY9rt0zvmVujSjlwGTqL5dnJvuF+pbzQzW7AJF9WuYbVbIKcZ9teE/UUOI543H45ErVxqGYXRGNODeVpBAEwD4nK5BFJWzKss1CUB7Gqu9oOfRVSyB3J7DdIRRd7FUkn2Qy8vLAcCXRurxRJ1u2oRfe16GpZNhRjTtGtWZYaAqdABSb+YLvmirHS1Z5X7aziYqG9owjI7FHGEFUCEURs4pxDRazf+ZGaaCkSUlVDBqAOjYYWkg58Gm8TRMtCafikMj92q8sNdXmK4M5JbQaLSeAp/KIB6PR67YFTWmki96r9efzzDRHml8X2vouT/7n7Ec1DAMY2lAHV38PZR7RB+yNaqsekaDFjo2ZboGQNTw0UbAGkGno0x1jhoeYWk+I9h0pnHeekw+1NGkDj014OaXfGUy+fbVuZDQGaZlK6ZvDMNYGghlleoc/T38mfvoc3lUppQ6kMKyvnBfDdCEOksDLjyWWWKaEZZvFV+1J8JMZwbtY7FYTkP90I4Lf1Y7Sc+h90urWUKdrvtEZdHxHLxHen9MzxjGosUcYXnIulynUCqVyhGYhM4hFWhNTU2+IaJGFLR8kNlgmk2mgpLRdv5eXl6OVCqFsrIynwVWU1ODTCaDuro6v1JkXV0d5s2b5+vpOd+mpiZ/zrDRMPfTJsbavLikpAQVFRX+PA0NDf59VXaaPRBFlKKNinjwfrKZpb6nK0VSOSYSCVRVVWHevHnWzNgwjKWGKHlJOa2BB83QAnIDGdqEWCPbql/UKcXtGthRPUYjI5FI+KXr2WyfZSgM7HBZe0bwORYDL3yoVyMozD7m3OkEY98X6hveEzV6NMAUOgxD52Jo1KmBEt4Xzk+DVbxXzIBmSQ4zkw3DMDozlNsqC2mbhNnIYdAhdCABrVeODNFANwltj2Qy6WUpn+W5srGWRrLKJZ1Oe5nLgEvYZF/npfqB+oj7l5SUIJlM+sVeVI6rA04zx8JySe4TXnf4v2Zzq77TY+jU44t2jq0gaRiLHnOE5UFTYcOyEc3UKisr8/swK6uhocGv+sj9WCfP8guWlISRcvboAloeyLU8katN0gDhQ3oikfAGC6PzWvoIwD/I00FH4yeMqjASEY/HUVFR4Vdu5LblllvOGymzZ8/2RgeVRlRWgqKGiGbKAblRJc6Xv6uTLplMIplMoq6uzq8ew6wwUxqGYSwNNDQ0IJFItFoIJSzLAHJL/MJIN5Db0yqRSOSU5qtRwJc+lIc9HaOi8LoqFw0SDaKoM4n9wcIgUQgzrFhOyR5jpLy83Dvjqqur/X3RPmJA24sDhPctRPvE6D0IPwdeSzwejwyMGYZhdDY0uzaswIiqFlF5GfUMTxlJ2cjneHUScUxtm6JBBspbrWqhTaNOKJZEsvyecH5qm2jJJq+FWWd0LJWVlSGVSvlSzkQiga5du6K+vh7pdBpz585tlY2s/Sd5bv6vuiHMfAt1Uahnwqoj6lZiesYwFj3mCCtAWG4S1YRYs6zUYUYhFx5Dp1YY7Y8ydsIxNCLPiIkqMHWA6XgqyHUezOgKIyIshezSpQsqKipQWlrq6+iLiorQpUuXnL424YIAYY+VkKhofT7jJUyv1s9C709xcbF3UprSMAxjaSGMHgPIebBWmR0lE6MyitWZFOWE0og9I+Z6Luoy6hvVK3SS0QEWlq7r3Djv0DDgfox8p1IppFIpJBIJr0+ohzgPEuqUqIyvfKUkGp0Pj9fr12sIDTfnXKuVxwzDMDo7YTZsVKme6pnQ0ZNvTC1/5/i6PXypTUN9otnGPJ52jjbOp+zV86gdEOowJgrE43GUl5f7vsJqI/F32lRhEF+z27QMMt/9iNIzUfcm6j7ptdE5Vuh8hmEsHOYIywOFIx/CmZ1EBUGBpUu+a/NHFVxaQkHBRkcUgJxmjbq6SlTZIaPz6XQa1dXVAFqi9zU1Nb5EMnQS8Xo0alFRUeHHp6JxzqGsrAwVFRXo378/4vE4YrEYZsyYgWQy6R/+mbLMKA3PScOGcw57CajDS51nWjaqaFaelmJSIXJ+TU1N6NKlC7JZW9HLMIylg0Qi4Vf1ZeRXG8OHD/pA7gpT/J1yUlcx1kg5jRuW2+s4fGjXB39mg6XTadTV1aGurs7rJJZEskxeH+D1FQZ/gJZ+LJwfM8F69uzp5ztv3rycaLlmG/D+6D1RR17oJNR7xP/DzAWOpXqK59e+nixfUd1j+sYwjM4OgwrquNfV58OKECB3ZV+igRDKUI6heiYMxoelktQHLAVkhUttba2XsU1NTUin096u4dxoz4ROItoeOkdSVlaG0tJS9OrVy9tB8+bNy8nupa3HqhvNzAp7PkcFQGjTRGUik1DXql7k73oPtUSSC50ZhtGxmCMsD0WxIr8KI9CSnRSLtTQQ1giHRk60GTEFuiqdoqIiVFRU+IdzKgEK4bD8wjnnHU4NDQ1Ip9Oora31vcCqq6sxa9YsVFdX+9JA1vMXFxcjlUr5VSq1Dxh7wdCBx94uVVVVPutLlQIdgtlsFjU1Nf58vD+qwNQJV6hRsqYtcwxt0q/p09xfz0fjBGguo8lkMr53mmEYRmeGAZGoiG8YPAh7tIQlGWHPLDpsdHwtawzHpuxmBJ59KKlv1FjRfi1qnLAFAPUfdQLfB3Kb/jPjuLi4OKfpPgMtfFGvhSWQWmqihkq+6Lk66DSbLXxf9+e9VMch7yUNFIvWG4bRWVEZHZWRFNXGRIPW6vTRdibqzNG2LpoxrPKUTh7NKm5sbPQ6hf+zFJ42Dm0aoDl4xP5i6sSiPcDrZHZZSUkJunTpgtLSUiQSCa9jamtrcypsamtrUVNTk1OCGZXJrJVCUXJfK4IA5AReGCTSe6r3mXpF7UkmWbD1jmEYHYs5wvIRa12yolH6MKqiD+ZaKqjKJUy1pUDUKHpUKQaNAkbpa2trfc08+6cwOq+9XqgU2JCS0XA2aGYmgjr82H+L7zEbgJlo2qMsXKVRBTuda3TG6X1SaKyFKdo8lsqPFErRplOPczelYRhGZyaqbF3/1wdidfpElayEGbdh5hd1TZhxrA/eQG45isp+7eOipZKaeUadE4u1lP9TH1IX8Vri8bgvWdEmyVomo0GY0BgjmnHG6w2NuvCe8x7pvVLjJXQy8vNQR5hmwRVyvhmGYSxJVLaF9gXQuidy+H6oe8L/Q9mo51FdpBlRdIJRz4QJAap7aCeoPUNdE85bq3NUz7D8Ue0X6jkGdrTdTHgvwkBOoRJJ3RZVVqn3txCajWx6xjAWDeYIy4eD98AXFRX5aIdmhLFUQyPyYUSF2xmhoCBMp9NewWhzekYwuDKilqLQMJg9e7YX2hpBofOHPVdomHTp0sU7h+hAa2ho8AYBtzPCzebNc+fOzYnUhNlpnDuvQ++FNqLUjABGz/U+cS5qFAIthhWzxXg/ovoAAC0rY1ZWVqKuri5vY2TDMIzOgDq7gJaFSghlumbaArlGSFiyD7QEGMKIPM9BR1UYcMlms97Zxai8OsXUWNFeXpTdZWVliMViORnEmiHM7dlsNqcsVDPOmP1Fmc95qSGg10p0BTF1xCl6XOgg1CxqnlPPQT3DkkmOwVUuLQvZMIzOShiI53vhProQiWaK8RiVfdqGhboqDCyEpeZ8ZteAS3V1davAPm2PhoYG3wOYgW4u4BUGTXjeVCrl559MJr3Oq6mp8VnOc+fO9fqRNo3qWL0n/F9bzdDmCe9TeF/1XlO/cJ759Izeax5jK0gaxqLBHGF5cECkoFIhD7Q8WGtkWFeV1N4k+lCvERLNetKyFr7CbDONkGvkhGWVLHnk/KlMwvnyerLZLMrLy/2xAHJKUcLIiL9HgfNPewuw3l6VppZKqnGWL8OLSkCdXZo1x+vh/aHCLC8v90sjmzPMMIzOSr7orjpdoiLPqhM02qwrDIcym9uB3JI/6hXVOZo5rOX0mqEVrhRJfRT2huR8OTZ71VAXMCuA2WB0YOn1hdcalshTv+q1RmXK6fbwcwh1Rb5+LzSIOC4DWIZhGJ2dUJZGOcPCygu1AahHeBzHUpuGeoZOnXzyPMqmYSCGr7C0vrGxEXV1dTnOIspuba3CFYhpXzGAoy1eCmVYhRnaoW2m++XL8oqybcKSyFDP6GegWcnMpjZHmGF0LOYIa4MweykqqhIKQlUY6iDT48PGwkoooDWtOTQwwr4qmlFApxwNDHW4aQ8XZnBR2WiPFm2iz/mTqFTrKMMHaMl00EiR7pvP2cbrZf0/38unpFnaydXHzBFmGEZnJ8z04s/q5OJ7YYl+GJzR43msvrS0A4he2Zfvqy7Tni8a4OC+WiITjkvdFM5Vy2NooIT6IDQ6eN5816B6hvu0VU4S6qNQp+c7hkafZgkYhmF0JtShwt/5f5SeCY/VoEe+faK2Rdk+eowGYbhd+0NSB+mzP9BSRaIVKaHe0Gxl6i6WWkbpGc5fs4LDRVhC+R62s2lLz4T3vFD2WTgW+yG39zyGYbQPc4TlIYZcp5MKaaYOM7LNrC7NutLsLKBFEfHBnKWIbBKs5R/6M0syNX2XxzIyQEcY6+cTiYSvdecxLJfUDC/Ol3N1zuXUzeuqlKrMtP8YSx81oq4ONmYAUODrsvNURlSGAHLuqzZw5lw1i0BTr1VBlZSUoGvXrigqKrIGk4ZhdFrUYUMoT3WFxDDoQvmqDd9DY0HHZzSdslNlNs9B/aFBkqgejWoUqZFBPcNxwmtxzvnGxzRgqLvYbzLUI5yXGnLUGTpPnkudgaFDLMxIUKNH96EBFN7LMAjEsZ1zvv9MbW2t6RvDMDoVGjwJg9VRgQ3+rLKYz+BhvzEN2KueiToX96ODirqBx+qcuEoig/QahKGMZgmkXhuPV/uIgZZ58+a12q7Bes4vm21pLaBB/ajsN83EVr0cOrPCfpLUo7Rh8gXBCPVqKpVq1Z/ZMIwFxxxhedCH3PBBWvfhw7c6iigENaocOs74PiPiFLLaE4YOtqKiIl8CWVNT4yPnYQNhzQbTVVvKy8vRpUsX9OnTB9OmTUN1dXVOZIHN9zlPoMWZF5Ylcpv26aIC06b3qpT0Z135i+crFHnn+Tlm6GwLM/Go3JLJJFKplC+RNKVhGEZng8EQAF6GhgEYlcmql/hAr0EWzTBWgyWMvmvpo8pVPsxrlrEGIog65rR8ksZJZWUlZs+e7QMrAHyZfjqdbqUntIw+zFpQwuw2AL6HZJh5EJUNHGbeheUvYcadjldoLOp3i9YbhtHZ0HJFAK2ey5VQ7qmeAVo7y6KqYdR5FJ6H+7PihG1YmAWmzq7QVuIzfmlpKVKpFHr27Ik5c+b4/pWUvzU1Na2ulfZVVFkknVJh1ptemwZcopIkQgeZ3stQZ0XpmfBn1Y98FRUV2UrFhtHBmCOsAHRwaQ136BQCcoV+WCISRkw08qGZYGoQhHOgkaPKgllboYLSmngdI5FIoEuXLl5pkGw2i3Q6nRNlYdPgcNWvUGGqYtUIedg3RhWPKkpVMlEGRFjqo6iC0eN4PjbWZHacKQ3DMDobuqS9PuyGEWISZWCE8g9o0QUaQAh1lGaGhefS8zCirvuFAR0N3tAZxgVaNFOLD/BhMEUj6e0hDMLw2kMDp63jo4IwhUp/oo6nLgs/S8MwjM4A9YHqmCiZps/T+bJow2PC8vjwpdlRodxUHaOrBmsvZc000zknEgmUlpb6hbGYQcbFxTRbmoS2SOi4U0cYM8J4/1TXabY23wudWLpN72/UPiHqBAsDYZpNZ3rGMBYec4Tl4/8FDgWxRs+JCnttYMgyCVUCCoUbHVkUbACQTqf9SonJZNILQQr8oqKinFVV2ChfoyRVVVU+0kJhX19fj9mzZ/vzlZSU+KwxpiYDLdleLHsEgHg87kstNftAyxNVqGvqc1FRkW/yyAiPGmWqJDSTgeNSAfKzaEvwc9ySkhLE43F07doV6XTalIZhGJ0OlrkDrZvyhpH58BVmI4erfWkgQVfE4j6ZTCantIPHpVIp3/SeS9mn0+mc/ipcvSuZTOb0cmHj45qampySSy3J1PPTyGEmHPWSXncUmiXAuWtpS2hA6HlDA0RLKEO0bCY0qsK5APArSNIoMwzDWNJos3nCZ/2oahb9HWgdcFBURmtbF8KMYJ2Dcw7JZNJncelqkel02ts1JSUlSCQSKC8v9xldGjzR8slYLJazUrHOjzpOy+CZdBDq1CjCKpbQHlGbRvfTQIkmC+i4+QJeHEPPz2tIpVI+GcIwjIXDHGF5iKHFOaORAEa5AeQIZI2Yq0JRYciMKzqSKKy1rwoFPpBrEFEAsm8W+6rQQaXCNRaLoaysLKfmnsZJOLY2sXfOeeOIziw6tEpKSrzgVSGtgp/j0ODSjAPuTyWiypbHtvoMRHFoxD3MvON27VVDJ10ikfB91sJsO8MwjCWJljoyUq8l+SHMGtYHd9U1uh+P16g+s4VVl6i+CqPw3EYnWFi+GIvFfMAmnU7n6CYtaY+6HtUBGunWvmP5iNJBoeMsLOGJGiNfFJ96WvvIaOm/6jbN4LMVJA3D6GxoAIT6hfJdgynqeAkzhkMnj2YsaYaXno92TZhlFjqHqDe4UiTlrla5lJWVoaGhwbdxoU2jz/1Rvc5oH6mOAeAXBqMzqT2OPiC3/5lmQYctcvT8+XRCVE81fia0pVRP8ZzU3eYIM4yFxxxhBaBBEBoH6gijYNIoNoAcQc79ovqgcBvHTiQSfr9wTApcGj9a706lxhezuRgxaWxsRDqd9uOFCovKQRsh0xFG4ym81kKEzZxVWQD5yypVYWjzZyozzZ7gfVHlxv11WzKZjOxzYxiGsSRRY0Bf3Eb0wTssjcwXdNEsX46nRoEGFcIyGKDFYNJsL3VucV9dcZjnY5ZYaECFgSW9D3Q0aVNhJTRIwnHUcabnCTMh9Dg1nFSPch8aHEpUdoSei9dhGciGYXQGwpJE/T1fkCBKz/CYtvSMOnOYEUwdor22wvNpn7Bw/olEwmd9AS0ZYc61lPnr/mFJIdDS0F91AG0anXeU04/n1HsRni/MNtZgfRgQ4rzUqaiZ3ppooZ8ZA1ra59kwjAXHHGF5oADPZDK+aTwFFTOa1FOvvbxoBBQXF3snjJaxUNhRIDPLSiMUrJnnOerr69HQ0OAb7us81WHElVHYI6tr165ecGv9vda/qyOOY2rpSTbbvPJjSUmJL9GkklSnmCoYzkeFNUthNFqkCgoAysvLkUqlcjLfGhsb/QqWuqIXf+dcOJ6uqAkA3bp1Qzwe95+jYRhGZ4DRbj7M6+IpYbaROpX4Psv1qQdUv+jPGmGmvmDvL74or9lfJez3qHPW/isased5mT0WGgyhnA6NKqAlQzqqTFLPCeQGo9SACRdSUZ3B+8UVuPT82WzWG1eqm5ilpmPzcwv1KH+ura01fWMYxhInDDaH/YnVaaQZTBos4TgadAdaHDWqZ7QMnkFotY3oxGpoaIjMXAaQk/VUU1ODRCKB4uJilJWV5axCHDqmQkccr4Pv0+lF+4x9hNWmiQrCqN0U6mU9N/fn74lEwpdSasUKkxTUUafz5xhh78lsNusTHbLZrK1UbBgLiTnC8iECTQ0TCnGihghRIRxGAqJWlOQxulqKlpdks1nMmTMnR3HRcaVOOs6NS9Qzm4tCH0COsQDk9k8JFaA21VfjRZvxa/NJHhdma+k5YsF9bb7VucsPU0HqPMvLy3OiSkSvJ0qJOue8gVZeXp5THmoYhrEkCSPymn3FV1RmVThG+NKl34HoUkJdHZJOGwYd1CAK9Zg6uKjLwiAI5XKUkRNV8qgP8qorVNeoc4/XotfPnzXQFOrsMDssdLDRQRZmQeg16XxD5xfnnEqlfAa2YRjGkkZXJA71jMrWsL+W/h9WyYR2gx6nMpS6heXz1DMa+AmdbJrt7FxzRY22cgHQai48t2av8XfaF3o/ojJ/w/YrUfeBY2vAJco24X56b6kzEolEpE0TZqvpeOp8KyoqylkswDCMBcMcYXlgjzB9UA5Te7V0pNXxQYmHNoAPoxXqOOI5GK2noJw3b15OWq4aJzonNaAYpec51KhgthkFqzYd5vuqOBj1j8fjKC0t9e/pnKOUE9BSJkrjhO+FjTh5rax75zWwz0CYOaBGmCoZnVsmk/Fzrqio8IrYMAxjSUM5Hj78UqaG2WBRhomOo1lkeg5FAwfqDGP2LYMFoUwNnXM0aJiBm0gkcowJLSEk4bx1bP7OyLuuYKzXouU46vjSoAu3qeOP44dZy/q/Ztbx/uSLtvNz0XJKvhKJRI7hYhiGsaQI7Q8NdGh2r9oh/F1ldtRLCR1SHIu6gjqmoaHBO8LU6aSONcpebYDP5vlhJYnK9SjnVdQzP5MFqKvCoIvqJNUTWrIY3tMo1GbRljlagRPqrXyON3W60S4yPWMYC4c5wvLAyDAFIrOzopoxAi3RdQA5wlVXxGIPMI6jygloFnpcDYQKgiWN6XTan1uNFqKKg+diaSedWOXl5UgmkyguLs5Jp3XOeYHKtOaofisayVEjJR6P+/Rf3peiouYVx2pqavw5wqiHKgLeC157qAAYZdeeX6poNbMijNbX19cjHo9j+eWXx7x583LupWEYxpJCmwE3NTUhHo97+Rs6jTSjWCPLmgWmzjDtJ6kGi2Yls0SDJfn19fWora3NCUpQ31C3MIrPeajs5nlZmh+LxXKylnk9WqqZz4Dg+bV3GPWN6k1eE3vHhFnCUT3Cwqh/aEQwmzp0QuZbPU3H5OdZUVHh76dhGMaSQnUEA9rq6NH9SGjvcAzKe+oZrb7Qc2mggKtAaik+9Qxlt65KrJlinAuDLswM4+qJ1AfhSr2hsy5Kz1C2c5VkfWnwnftqSaM6sMKAlt7LMLNb7zevQ52Tej5NTtD7S71resYwFh5zhOXBIbdBPY2KfBGAsDyDmUz6UK6RDI2EaOklSyLpeKPCYAPJpqYm1NbW+mWGtbF+GN3mHBOJRE5qsTr5VIiHUXwt+wijJdyuq5DpNjVeuE8qlWrlwKKhohlcGh0CWpxqnAdXKQuVtGayaUYDj02lUigtLUU2mzWlYRhGp0LlsBobqmvCB209RrepI0f7wfBnBlj4YgYyVyJmaTq301mmBoo+uKsDCECOgyzspaW9x8KAkhpcQEsARfdXA4d6QlsRUP9qlnFYYsI55ovk8zjqfc0E0KzuMHOC49GpyUy19iwwYxiGsShRPRK2bymUVRTqGa3GUIeP6gO+VM+o04sBlmw2622e2traHGcYiQqkU/5yDuqQ4zx19V91agG5ukfnHC7aEsp76p5wMa/wZxI6wcJsL9WH3K7Xx+vVedL+Yd9oztsC/IYx/5gjrAChoFJHkQqkMBqgzjMtzdCeXYzAh4aKRk0AeOOEiqGhoQHpdBp1dXW+B0nYs0WVGh/E1VnGaIcaNDRYVJjyfTVmOF9VGLxHUfeN2+nAUkOMykmVsS4HHN4/zomNIokaRXp+3oP6+no/j9LSUjQ2NpojzDCMJU74cKwP32FPEBLKO9VPUc4mjYhrtF11DR1hocOLjjEuaa8GTpSDSTO9mCEcNvGnHqWBwrnpdaiDidvD6yea8aWBG+rn8By8d2GJvX4m3JZKpfxxnENYihL1P8tuVP9a6YphGEuKKB0S2i2hs0nlYhhsoXNIgxPh8z2f6XU1SHWE8Xc6wtLpdE4wPJSZWmKoMplZbpoQQBuMP2vfMF4PgJxz8R5oFY9ev47J9zSRgePrWFHOsdBOY1/KUM+EjjN9hY4w/m96xjDmD3OE5cG5lhLEhoYG79wKm8PTQQS0pBKzjEQzySgU6fyigmBPFgpFZn8B8BESRkn4SqfTrVayBFobSIQGEND8YF9cXIwuXbrkZIOVlpb6B3agZREAXicf7MOmyKGRpQ4xjs9sNN4fzllLXULDRNOq1ajjPUokEkgkEl6haoRGjUGuFpnJZDB37lx07doVJSUlqKmp8Z+TYRjGkkADIXQ+qYES9VK5nM1mvfzjgzPR8nrqMZajUO/QwcUMYxoi3J8Lr9BoCSPziuqZWCzmy/BTqZQ3DJhFHD7kh3pDnYFEo+LUNWqsqbGjpZtRkXe9/6qP9DwAcloLMEjD+YWGJc8fBpdKS0v9/TMMw1jcUBbqC8jtoxiVLaWVFZqppPvqM70GUKh7qFOoZ+j00t6UfJ/7hfMIz6fOLOqZiooKb2vQdqB9Rh2pTiUNyoR6IepcvF+6EI06/tQO0woi/QzyXRf1mQaNeA1qN/FYzXaOx+O+D7LpGcOYf8wRlgfnWi8xHCoLPvirAqDQCkv1YrHmXimqULQ/ipaZqLBVIylUYkBuY0VN3S1EUVGR70XGeYQCX42tkKgsMM0QYMYb0FJSqYpYHYmaAUClFM6F46ty5j6a7aYpzGpMagkMe41VVlZi9uzZVrJiGMYSQx1gYVlJGAnm/mHGrwYj9GeVtTyHnk/1j+qWMKqveqA9gQN1LsViMV+OTr0QlnvwmCi9pdkKhGOF44QlkeFc1bGmWV7UG1Fz0HPRSAn7moVOyvB87JdWSKcahmEsKlSWq6MlLNkLHUWhLlIZxwww3a5OobA3FtCil1QPaaAlzL5VovQDdVU8HkcymfQOLwYtdK5RaCBFAy16D4iW51MXhP2MuV1to9CpSMKf+Xvo/IpKdAirZGKxGFKplO/9bHrGMNqPOcLy4LIt3n71voeKQx1hUU6zxsZG33QxXClRHUJhpJ1lLmGkRRsVa1RBnVOFhCAVTVlZmc9Oq62t9ZkFbKKpUW1/T0TAatmiGlOERgCjMnqfouanjfPDnjK8PlWSdIQlk8lWURWOwzno51hU1LxscVVVlV+1xjAMY0mgTqp8DrCoB181VKIydNUgCfWTOrs4jp4/NGBCQyaf04qEc04kEt4BRnnL8pPQACvkDAvH1zlpRrDqXt0vHCt0jIX7ch++R70UGkzqUAuz1Gg0sWxFS/8NwzAWB6Fcj5LvoT1SyBEWrtSuz+h6bOgI0yBMVOClPYEWEsprOsIo+4FcPcNj2jt2aP9o8F3tCr1mEjrCaHtE2T7h3PLNVx12+j7bECQSiZzez4ZhtA9zhOUhjJjosr98uOUDPoBWPbTUwKCS0Gg9/29qavKpwuzFou+zdIXjMnWYDqYwMs3/w5JCni+TySCRSPisqJKSEl96yevkOTlWKNSjoh1hajFXciktLc25J+wTppEU7eGiK6jQsFEFooYct3PlFC3fAVp6BNTV1fkxqqurkUqlsMIKK2DOnDlmnBiGscTQyC8fYLVHFx+gudCIZtKGWV/URTq26iGW1VPXaHmKNjOmvOZ2oEW36CpW1A1ROkAj/vF4HKlUykfqQyNIM7tCp5f2YykU7AkdYfxf7y/nxfmHY+p94z5agqmBFC0tampqWRhAy/JphLE8UjMVDMMwFhehrgCQ44AC0CpordUaYRaZBmD4PsfX3pK0J1ieT/uF+4arRQK5i1+FFS+6XduusP9yaWkpioqKUFdX54Mv1Kd67RoA0d/DIE8YgGIZogbl1SEY6h7epyjdFrW/2m6JRCJHP/KcTKoAWrLymHRQVlaWU5FjGEbbmCMsDxrd0ChKmBUVLqeuwjtMadUyRKBFEFIZsN+VCkU2hqcw14i/psnyoVszoTgnhU2Sa2pqch7adT56DwiFcFSEIqx3V+GsvcXi8biP2HD+FPphinHo/NLz6Pt0CgLIybzjPFgKSYOPn0tRUREqKirQ1NRkxolhGEuUMIKuxoc++IcP7GF2UjgmnU0ayKGBou8DLc2A1bkVjlsow0p1B/tpshFymFGgRBkI+TLOQiOJ59X3OH/qKw0QqV7RuURF0KmfOCc1RLTZv64ypoEcnR8zra1xvmEYSwK1S6KywICWViZh5mxo0yiaFaUBDnV8hVUZtAkoo6OydxkY17lQ/obnp12jOiCqzD3q56g+lPkIHVZ0HKpuCFG9E+o/tan0s6EuierJzN7H+tnRFuL76XTa9IxhtBNzhOUjlhtF0RRgPtCqMaKOM/0ZaO0I0ybtGinRaDmFYSKR8I162dMLaIlWA7kRbH1453t0eFFo19fXY86cOUgmkwByHUxhw+Cw35YaFaHCCcs+6QxjdhijNqrgKPDVEabKQrO79JxUAnS0xeNxr8QJz1dRUeGbd6rCraysRDabxezZs01hGIax2KE8UyMiqtwidObow3GU7KJ+0B4shX4HkGOgRAVT1DkXlv+FjiTNpkqn014HREXG9V4oUboovGbqWv6cSCS8HgudXlFzjXLMhdnNmg2hgRSgpYyF18WMZ2aOc/ywdMX0jWEYixMNnIdZXpRpWsKnDjCgde9HvheWXNKm4YtOMF3UheWFYVYZyRdwDwM/lP+Njc2LvySTyZxABdC6N5eSz3kVziNKz6hNw/NokkR4DZpBFgZodJ5qh/E6dB6afazB/cbGRp84kUgkcgJQhmHkxxxhedCHai0ZobJgJpdGIHR/lumFThtNqdX0Ya6CGJZKUrlw9UiWMTLbSftyAa17jQHwQpuOr1gshpqaGp+lVVVVBaBlhSwtxaRSoaMpLCHRbC3nWlbKLCsr8/tUV1f7+XIuFORNTU2+HFQVDZ1pmpHH81DYA/BGRzabRUVFhXcCat+dsrIypFIpf88bGxsxa9YsP8cZM2YgnU5HZgUYhmEsKjTyq4utREXstUQkHo+juLg4J+rOfahrtMyR5Sc0RuLxOADk7KvyOCxX4b5hgALI7Q3JKL8GJdLptJfpZWVlqK2tzRlTs6QBtHLGRWUGM5jCe0Fjob6+PifAQngd+fqGaWuDMEOCOk/vKc+pGV7ZbEs5v2Y50CHILGRdMMAwDGNRo1myQGu5q3JPnS6UsbRnQttCm+VTd9ABBiBHNnN/ZnCxPD+dTvv9o9quEJX/lMvUg7FYDHV1dQDgSyTpzFP7QR18YZuXKOikog3E+0M9Qx2gOkKdg1HJEOH95vgaEKPeKCkpaZWZzMUB9HPMZrOor6/3jr3y8nLTM4bRTswRlg+XW/uujjAgd4URvij0gZaHeWZAxWItddtqnLAflwo7dZxpBJ/RFc0mawtGLDQ6rcYSIx1qwGh6dBj9UWVEZxbHoNCmM43XQphJp/dFl5znOfTawmvUjAQAOZEfziV01vEeqgHIaygpKUFlZaU3KA3DMBYXUZFwjdaH+wLIkbVaGg4gR6ZTd9HooGNLdYCWZGrPrqiyGaJ6JIxqhw4oLc8kmmUc9uwKyfcgrxnCUXpQz6FN+fONl2+7XmOYkRCVzaCfW1hyQ8MtkUhEBqwMwzAWBWFGq1a5AK1X8CUMSOtzNfWLZjcxMUDL7nU81SmajUy9pEHwtsoTw0CHjq/6TR1dtGnCxbFUjkehWcz5dIRmb4XJAVH6JIow4yvqmpV82Wf8rLhSMT9nwzDyY46wPDggR2Ewkg7kCuswtZjvJxIJ73ihcoCMmclkfHZXNpv1Dhpt6sjjVLmo8mIGFuekD+R0bDGSwe3aF0xLNBnZKCkpQTKZzMlSUGNF03hDaJwB8GNrBhwAlJeX+3PRScX5cJ/wGkPlGPZD034tmonAY9W4SyaTOQZgSUkJunXrhrlz5+bcD8MwjEVNaJxohJdoFjKhMwXIzVqKMnYYeQ/7TKoc1J4uWuoSEpYSqsFBua7buL8uGgO0OLJ0wRc9X76ykvC98Dj9PZlM5tyX0LEXOrD0fkdlR3CsQlkEeg5d7IU6VB1h6XQ67ziGYRgdRZjNq1nHYTBD92PguqGhwdsU4TO1Bta1xUuYScuAiLaDCYMknE++oAP1hpYM6sIlrGqhXcSge3gv+NKgTRQq87U9TlTWMIP63F8DIpo1rEEk1UEacNH7oduIzkXvBa8pkUggmUyanjGMdmCOsLy4HEFGZxIj0GHJSDabRU1NjU+b1XRdpv6qk4tprBTEbJgfRjA0og0gx/lDpxWAnDmFTRbr6+tz5klqa2u9o0yjJ5ryS2deGBkJs7j04T+VSuUoKD0nr1GjGQodgLpaCu8Df+c2zVhjKSvnzzLTpqYmn/FVW1vrDcGysjJfYtqtWzfMmjULAFBTU9PeL4hhGMZCEwZYaHAAaCUHKWtZTq4GCQ0R6hoNpKhxo4YJ5ajOJQwGUDdoI3jVf2E5oM6V0EAJe8OovgvlvT7cq9GmQQw9d3iftFyUaBaBtgHIRxjdp4GjpTU0gJqamlBeXu7bG3A/9mvheVOpFACYgWIYxmIlX+aR2gYaTGFwWGUpgyvaBJ/6Rh002r+KekYzv0J7hHYW7Q6eS20P1YvhNQHwz/Rq04RZymE2blTgg/9reSL302NVP6ljjedlX2Yt0QydWprBzc9CPyNePxdcaWxs9K1e+BzAc/EcDQ0NfqVi0zOGURhzhBVABZE6plRo6sqRVAJa5qi19Wp88P0QFYjsWxJGoNWIYCZZPB5vFXUHWhRGGGEJs7y0JwtfLBVUIyOMzOf7WZUTj1FBz74pYf07o1A8JioFOCpbgWnJLI9MJBI510SjiZl5NBZ5D2nA1NbWWlaYYRiLhdAJFpZ8hBFoykvNmtXoc1R2mTrLwn3CuYQP6ao3tHRf9UC+DCr+HjqQeIyOFxKeIzRQ8t0f3aY9OsP7rddHp5pG58NsM/1ft/Ge8bPj8boAjBqRfGaIx+M5OtswDGNxEeUc4v/5smhDmU55RruG1S2hPFMZHpbDh3aCBuABtMrmCo9rq0IFyG2foueKykTW6+N+qmOi9E/UOAzsqI4I+3xx/uGYUeNHPR9wfrpQgTocTc8YRvswR1gBQsGjGWEUcmzWWFRUhHnz5vmyPS11pDBTJxiztEKhq+V5uvoiBZym/KqDh06ecPUWdT6xJEMFOufL69OeZmFfF15PqEBVwKoBpkaQXiuviQqKiwyoA5DXyB5q6rAL04vD8htGcdicn4TZdzxXNpv1CwbMmDHDauoNw1gshNlYGnQJH7Q1Ms7l0SkT1cmkBoouJqIyNtRjCo+nsaDzCiPyejzfiyplDI0poKW8U3tKKlELwYTbqQ+4XbPIaCRoKX04Lw38aKAqdITpfdPtXLJenXp0dmkrA507P99UKoXa2lrTN4ZhLFI04BJmSYWZt1odwtXWVc+oTaPBlrC/JMcOM3r1fGHgQfWMOpM0E0vLDzWwonJUs5bZpia0Q0LCjCz9OSqDjds5B+pjoPWqkZT58Xjct9lRfRmWSYbzDCtz9L7p56H3gvZPWVkZampqInWsYRjmCMuPQ86qWfF43BsXdHJROIXpwnwwLi4uRmlpqRdWmUwGc+bM8YpDe3IBLWWBbIzP1SNra2tRXV2dsxKlGhTqeANaGiZzfFUmVAZqQOhqkUpZWVmOcCVUYBT8KoS5AIAqJV1qmPslk8mcrDjNqON7YR8Znktr8YkqI6BZgbNMkytF1tXVeYWoTf7r6+tRWloKAOjatavvF2YYhrGo0cAB0JIJzECLylcaIpSxzGilrikuLvbynCWRNEBoYFDWU9/QWcaVIikvoxYqUUddqFPo2NKHdEam1chQ3QE0y27qwJBQP+jPauxo8IjXSJ3B8hRu15L90MkYluqHjjO+p+fUrGvNiuB42pdNy/nLyspa6UrDMIyOhs+6Wk3B52o+UzP7SUsAqR8ow4uKinwP4aamllUiNYBAmUu9lU6nvV1D+yCdTnubhuOrjaELalHOa5ZYVKaaOojCIA/3UTtJ0f3VKcX3wgoeDUoRXUE47OccOtGoR8Os5jAwBrQEpngP6ETjfeHnpvaY/l5RUeF1umEYrTFHWB6cc174abRdt+s+VAgUaIzCJxIJX6an3v5kMpljmPD4uro6rzTYX0wbHYeCXZUEBZ0qirC3lkZeQidWCIV1VMkMz6kP/lFpwmGECchd8Yv7qIEURkZCNLIfZqOpogDgHVrhvnrtuqpkly5dkE6nLZXYMIzFAmVQqGvCh2Tup7pA908kEr6XJZ1hNEqINizWoIsaKtpDTFF5qc4uGlIq//XYUHdEPexH9YGhI5DXGqUb8mUkazmMltqrM02di/l0oBpZeg7OmcfT0NTPLspA4zbOiyt7mZFiGMaiQmW36pko2UTbJZ/NwXI7BlQ4jmYMAy3tRxhgoX6pq6vzekYDGZr5FWUzROkUzl0zdvOh/baiMsRoyzGApDaM6gq9X5yXzlfvaWgX6e+hPRJ+HtQp+tmE16/osfys6VDU/mKGYeRijrA8ONfc9F6j6UQjKxScNTU1OdlGLMfQ1TsaGhq8wKyoqPBRkGw267O+5s6d66MwzAijIyxceUQdUUy35TnDBvlUOrrqCiMGYf25GjlsXqnZXFxFhpEdVayhUQIgxynF+8ioEp1WYTNOHq9KIVQ26uQL06VV4GsGn2Y1sIGxKvqePXtizpw5Fqk3DGORo9nElHdhXxJ1gHG1YXW08FgNuqTTaf8QXFZW5seiXNNFXMIAjDrLQsMmLDNMJBKRDf11flHliGH2lZb5a7Yyz8uMatUPPBcJS1q0/IfnzBdoCR1hYcZ1lLOM51AdFeolXieDZGrcFBcX+0w4M1AMw1hUhAF6ILe3pNo01AlsxE4owxKJRE47Fq1+odyk/ZJOp5FOp3MC/bQbVNfoyodadk8ZzoB8mFmlz/1hpli4wiR/5kuzw3jddNpFBfdDnaxzDFeOzOfw0vdCHRTqDu6vCQNqp/E9Hqt6htucc0gmk36Blurq6vn63hjGsoA5wtpJVBN19gXLZDKor6/3D/GxWMwri6amJu8sqq2tRSqVQjKZbKVw0uk0amtr/fLDmkZMhaRRDApHOnPUkKAxpIZGuIwwlSCj5xSuXHJeIzB0CtKYSKVSXrGUlpZ6Q0UFsPby4hhhZp1GZFQBqOERlaYcGjeqXLQ3WriymTq/iouLkUqlvIHJkteysjLfL4wrSRqGYSwKwiwiDcCoXNMSEwY5NPABIEeWZTIZX5LOYxhg0fJH6iAGI7QEJMxi1hJAzRbWAEXYw1GvkXIeaMmG0mCQPvAT1Vl0utGhxXtAwkBMuD18PzyvzpeEGQRRzrAwQ4Dz1jnSSNO+MDRSYrGYrVZsGMYiQ6suKK+oR7hd9Q+DLoQOMAA5vRQzmUxOdpi+aLto1rHaN2ELFMLASthORXUOz8/WAVHZVdQttMU0qBPqENUzmUwmp8ej2hhRWXRaZaO2D3WG2jdhlrDqE62S0WvSzHDef20bw6oX2m10avIaM5kMUqmUb5ugzjLDMMwRVhCNmKggCgVWqGT0GO17pSslahowDZEwAynsRaIGR7hNs7vCckRGA4DcDLFwLE1xpqAOozRqzADIiYRoU3+gtUOL74V9WNTQ4L0KjSJVlDovHTeMxPA+UFHQUUlFTsXKefNVVlaGpqYmzJkzJ2/JjGEYxsIS6hXVIeFLl6tXx4zKdM3+1Ydd7amlfWLyUagkMJvNekePRsM1+s79dF6Uxzo2jRU9j85PjQU1hMJt4VzDjLNC1xY6wwpF5bVsk9uistJC4y7qfgItbQxsZS/DMBYVKiujMqu4D/fjM7I+l6seAlrK7DmmnkfL66OyhUPHVVS7FKB18IX70CnH6g/OmefQAI1mganc1ibz7G8JtARf1J7SYI7qC+4X6jBNWtDroQ5UR1mhbOQoXcRxQrtJrzu0QbWyJ6rtgWEsy5gjrADhErhEhZxG7TVaEAplOrz4cK6REm04yXJERljUWUVDIGoZXqAlTViVQDKZRDKZ9HX9tbW1PgMNyBXQqig1QkKlwSyC+vp6PyadbNlsc3mnGj5AS4Sc90+zAKgkwyWSqXzUQFQDRA2j0JgKjQlmUjCKwh46dXV1vjyTDfWz2Szq6upQWVmJRCKBadOmtSr7MQzD6Cgoq1SmR2Uo8UGfBoY+1IfN37WMkJnH/F8zZrXMQh/aw4f6qDmHWVMAfBsAZh9rFkAY6NHzhgaDZhWoIcPmwlomow2JFdULmt0c6qMww0yPDUta1FALjyHaWFpXWQvLWfRzTyaTKC8vR3V1tZVIGoaxyFDHSpQTRoPIzG5SBxmAHL1TX1+fY/PwlclkcpxgUUEPlcWhDaDn0YVOYrHmBcrYY5ltYJjlrMEhJbQhnHM5PTLVUUQbhRlv6tQLHU2cV5htposF8BrCRAENrqiDju+F9yLMzg4dfJpoEX5OrPRJpVKtGv8bxrKOOcIKoAogLCtsbGz0pYzabF0FkzpZ6urqMGvWLC+oGIHgAzWdXCqgKGD54J9IJJBKpXz0mA0ndb40ENLptHf4lJWVIZlMoqysDPF4HIlEAl26dEFNTQ0aGhpylnCnU44KR2v3gWYBPG/ePL8qY1lZWY4xExpIoYEV1fiYhh3H4/bq6uocxayEZZFUPjR66BDj/WhsbERNTQ26du3qz8PUbzWW6urqkEqlUFJSgu7du2PWrFk5KeSGYRgdRZhZREdPGJlnDy/qG8o8Gir8mUZB2AuE8l0dRxpR1jIUzQxmwEJX0Q2jzbW1tb4/SVNTk1+unkZFeXm511Xad4ZOIp0H74k6/TgWdXBodOj/he4t36PuoDHFcqB8TqiosTmnfJkVjMJTj4aOOM0gB5p7ZnKRFsMwjI4kqrIlXLWQDiw6iLREkc4fyj3aCdXV1TmZWpoFFmZm6Yuyk3JdS8ejAs9q01AHsqycARiujsheZJyDtkrRLGG1LdLptJ8bExFUt6h+UnuIc4tKKADgg++8rtraWu+wCm2lMOGCx3MbbRpmLaue4dzV7lGHGPtT0+7RzD7DWNYxR1gbhBF7jUQz0h6VMUYhRycYFUcYoVb0OP6ujSK1BCVMvVXBqkoIaK55V2OCwpnOOEZDuI8aS2GpJ9BiTFGR0fkXRubDOZIo40GzGXjNbL4ZNq/U+6QOsVCJhOUsFP5R/QJCpQEAFRUV3lloWWGGYSwqojKsaFhQ34SOnVBfqBFDGRaWd/ClBgL3C0vvGQRR5xjPG1XiAsAHUVTXaIBH56sOolBPqCOQv+t+YWlN1Bi81qjMB6Cl14qOp8YGxyiUIZdP57TnPc0Y4H2KapFgGIbREahs0+deyj32jwodPQyIsOpCnWXq4ArthjDDDMitblE9wTlFEcpvBkX0f80aZu8wni/KPuA8o7Kp1AFFQpsh1H16jZrkoI4+Jkaow689toV+Vjr3sCQy3J/bbQVJw8iPOcLyEDpbtIyjpqbGp+KyBAJo6X9FQdPQ0IDZs2fnLFnMMcKVEfmqra3156SyYGQ5LA+MypJSI4cKIFxBkZlenHMqlfINJePxuG/KDOSWfhKOyXHVsRSV2ksBHvYLoIKlAcBoTkVFBVKpFLp06YLZs2ejurral13yOM1aYPYdt/G6ws8TaHZMMrNO7xc/Y2aOlZSUoEePHpg7d67PsjAMw+hIorJmw8a9dM6rbNVgCGUxM3vpQNLeIWEjYy2f1HmEWWFRZYcklOU6XxojWgqvxgrlrWYe5DMIaKABuWWLoZGihkJoyOl+qj+50mYqlcrR62rQ6HMAaY9jjMZVVNlPWL6iq67Zyl6GYXQkYaCecpRwNWEtmw+dQrRpmLmqgQrNBgtftJM0qYArNuoqwfl0De0ZoKWqhBm8zjU38dc2LbRpaI8VFRX5Uk2gtR3Cc4R9kFWnUG+oDRZuC51g+h5tLJYo0hmmAZe2gij5gi7U9fn6UvL5IZvN+rJS55xvj2MYyzrmCMtD1mVzyh0JjY+SkhKfmqv14zQemJ47Z86cnNUcKdTpHGtoaMC8efNQU1OD2tpazJs3D0CLgqCzRxshA7m9VNQJRSGvKc1AS40650LnDktxuJplly5dkEql/EpjdXV1fkzOheNxHqog+B7PQ4XEa6ZBp8dwG68pFov57LnS0lLfb0ZTrtXAYzYbnVslJSVIp9M5WWuE72UyGVRUVKCpqQk1NTV+LpouHo/H0bVrV8RiMUybNm2RfM8Mw1h20YdUoHWpHx9wWV4ROnu0nKW2ttY/vGvpBJ1emUwG6XTaZynrg7BmgoWRYuoqbVwcZpWpU446gTKceoZlgsxGLi0tbbXCWNjnMly9WO+PGifqaOO8wmwyAK30I/V1UVGRL5UMF08JYTkO7xmdf1GfLe9fIpHwekf77uh1MYvBHGGGYXQkahsAuVnHQIuzSytQFMquTCaDmpoab5vQNqK8ZTYy9QtfKutUVqozKGyuT9uK59fAOeUo9RLbAmj5Jm0urg5P+4Pl+WrLqbMtdEqpA49ymu+HQRwtM6VupM0Tj8dRWlrqW69Qb6ieUiektsUB4OfN+YUVOiyT5Gel46i+ZmIFyzSt2sVY1jFHWD7+/9lZH7wp+PjgrGWEKgzZRJK17BRmYdYSlYY2zKdQ53nU+aMKIiqCEqYiAy1LETOlOZlM5ghFHS9UNrwWGjRRNf5Ea9zDJshhFJ/n0IUD9BoY/c9kMj57IIyqayaXRm8YBYrKZlDDiVEjGmzaw4X3vrGxEaWlpWhqasL06dMLRq0MwzDml/Chmz9rJi4f7NXJEzqcQhmmsk6PCVfziiqdbI+MiyqL5JgaIdcgEmU0dSL1B3+mnuF90GtQXZPPWaiZctyuxoXeV957LffRzDUtT1S9y3npufXziyrxpJ4Kt4flLjRCw/YEhmEYC0OUvNb3KSNVd6hecK6luTwzkCh3VVepM0z1jZ5LdY06u3Q7kLuAjMpsdTpRfkf1vlQnU1FRkXdgUReGuiJc5V51kd4fjqf6TeW6jqE2FtBSPVNUVIREIuGdYXrPOR7np++FwaDw3Lr6ZtRzBXt40klYKBPbMJYVzBGWB4cWoUKBz4g60CzsmDkFtDi/tH5eU1ZZ+gC0lAQyPVZX89I+YExB1m3ajD/sJaLRHs180kw1GiFscg/Al9VwlS+uCMn5AvArsuiL94EllbwPfI/HMXNOM8pisRjKyspyUoM13ZrXxih9aWkp6urqWqUc03jQzIEww4xGjq4Mk0gkUF5e7u9XdXV1zmeZzTY30GSG3I8//piTsWAYhrGwqDOK0DFD/QDAyy7KpjCAorJfe6WonqAu0SACYelI6CDjHAs9LKtu0eugrNWABc+tjfWZIcZt1G/qPNLMBS0BCTOLNbNX58x58Bj+rxFx6pFEIuGDMTpnGkIaZNFzqHHHz0D3ofETGnP8n0YoF7KxcnzDMDqC0PEDtGRcMWDPrCX2eaScDm0aHkvnkjrZWEGizjDaI0B+PaPP72Ewge9pcJ/vqYOJMjQWi/lyTJ5PS+CpF+vq6nKyc1Wma0VOGMwIEwBUT3EetN/CIBQA39yepfAsOw1tC3UE0u7h75yrOvh4P5j1pdel2WMcu6yszH9GhrEsY46wAlCw8uFV03ApIFWQ0tBgmYdzzpdQhFFkTdXlubLZLLp06eLH4nLqjHoQCi6uzsXjFY2KqCCkwquvr/cCFGgW7vX19Uin0ygtLfXz5jUnk8mcfTVKDrQ0Htal47k9rL1PJBKorKz0hp1mwdGZSAVNpxo/hzAzTNOQM5mMv9e8Ts6VY2uJKh10monAKA8/x4qKCsTjcfTq1QvTp09HTU3NAn+fDMMwFC0xp+wKs7dUttOhT71Bg0MdKep04oOxOnw4Xmlpqddrutw956JBhzD4QfQ8oQ6i3AWQE+Chrqmrq8vRNZwj5a+WRoalKqpLqRPCB35ddIXv8T6F91f1BY0LzQwLDQk1LDUTgXOgLuI+iUQCQLOhGHUdWhKTSqWsf4thGB2GZmHpc3qoG4Dc9i+Ui2yVAuRmNYXZV1El6ayq0L6UoTNLHWwq68M5hYEHfdbnezyeQf9MJoPS0lLfr5J6jsESDeKEtovOJ6o3Ja+BeibM5mVAS7O3aQdpcD7MnOMcQ+eYBk7U9tEql1gsltPjmbpF92diBuemq0IbxrKGOcLyIQ+3FLZa+qFRAo0A66orzIBSA4BCnwJYS1HYU0uVlQo6EqbLaiqvRp9DZ1UoPKOUizr5wod8Rjt02Xidv6bs8h6pgcNrZH81VQY8ThUp58hzxmIxX9+uSpz76j2N/khzFXBDQ0NOn4HwWBpyJSUl6NKlC+bOnYt0Om2pxIZhdAhhoCI0KlRHUI9oUEXlLx1hfB/ILX3h72ro8FzM+NUMK40663yjDBXOPbw2jqPz5IO4ZguoTo0qUwmj1lq2oufXMahfGMRpaGjwDqmw7EfH174sathQD6vBElV+okZZWDrJ90PDU9GV1CwD2TCMhUXlL9Dy/KsyUDNfwzLz0Ebgdsrb0BZQfUYHVHFxsa/qCO0OnZfaHWFGbmjjEOoUollUGqiJKn9k4EP7k6ldp3OLygSmDaM2TSKRyAkC0dGkWW+U87xPmhighAEm7h/OJUrPROl/2lXs16kJGYaxLGKOsDyo4AWQU4Ki/bs0NZUlgoxwx2IxVFZWekFE77tGJJLJJKqrq71yYckiS/PYABlocYBReGrkXA2YsPRFS0fUSaXXQbTUUB/seZ5UKuWFJ5tncj+uRqKCWR12TAdms0g2diwrK0NNTY2PymjJJktCy8rKclaHYUYBV0qjIlQlHjrolLq6OkybNs3fQzaOVEMnFouhpqYGqVQKyy+/PObNm9eqybRhGMaCwmxUlZVahqKZyKGBQt3D9+jw0WCH9rSkXKWcZEYxI/5AboNi/g60zvzSbCjVO+HPGrTg3DiulvmrvqGeokOKhoFmYWnZYZSjjtFxXbmSTjB1HKqxwPPweN5flo+EhpLeI94fjhkaKpoVzXutDkcNlLFsv6ioCHPnzp3v75RhGIailSyUTVq+yOf2sKcV0FJuz2NZ0keZyeNVz9Be4EqJek4g1yED5LahCfVMGNRXXalOInXG8fzqzGKJJNEsas0SDoMiShjkoE0TrkSvAX0dk+/xeqgD2WaHup/7ROlZ/VwYpOFnof2WmYAQ6ip+Xslk0q+0WVtbW+DbYxi/bswRlo8YfAkde7VQyLKMpKGhIacXS01NjS+JpEOsoqIC1dXVOSUs2Ww2ZyUtoEUx1NXV+Qd3rqpFAUmhqYaBRiyA3EgB0JLGrNsoXMMVW3RMOqCIZrjp+xToaoDwwT9cUQVoefgPBS+z4XgujeSoccXyTf6uc+HcaEDRcamZD3r91dXVOcs3U2kwasRz8HOrqKhAJpPx/QcMwzAWFnVSab9Iyh7qAKCl/yF1AtDyMJ1MJv3KUuq40b4gakiosyqZTObIbCDXGAqdY1HZSurM0v9D55qOyW2hwaH3Rnul8H91BqqTidvU8aZlInRu8fpV/6ljivdAe4JqqaZ+ZgBy7ls4hs4xitCoYwa0Gm2GYRgLij6/A8gJtNCJQpsGaFlIJNQzDN7zeHWi8WfVMerEoZOfvYhVjmrmkuoOPptzTpyHyswwABPu75xrteKiwvOEDrYwO077DqsjTwNYmlmnwZrQkaXOPY6lARo66XSu3E+dieFnHGZ26Weg+2m1SyqV8p+pVbsYyyLmCMsDU0fDtFEKFQpV9fCr8aGN2YHWq0eF59L3VbhraYWeV9/n/6w1V+EcNhaOKncJ05m1Xj6MDKnzjfMLhScXFlABT8OD89AUYG0wGTZ6VkHO/dnkUlf5UsXLa1YFqfdAM87CzLkwi4xGaUNDA+LxuI/UW8mKYRgLi5Zm8EE0Ksqt5SuaVaxjqMMolGNaVhlmznJ7GFQJH7TDyHLYv0szwAqV/um4+coMOVbUOFEP61GZzVpaHxpRNApDo0kzEij3VT+EujfMuo4izGbIVxbE69CAjGatGYZhLAiUJ1rqHeUcKaRnKI+Ki4t9cDhEn8PzycZQXwCtM3tDXaNjc3uYnavP7+F1aSAitJ2i9I6+pzaIZs7RDlDnmCYXqJ4JnWKaAazOLc6hUGZ1OPfweSG0C/mz2nmcKz/PsDTUMJYlzBGWh5Li5nI8rhSo2Un8OeyVpYKHmUa60kppaan39sdiLatCMvuLDp26ujrU1dX5KIauQAW0CHddrZHON2ab6RzVQOCKMDwXoz76AK49uqIUgzal1xp3Cmo6ubTPDfdJp9PeSGGpKJ2GNFIYoWBGHl9spK9p3pWVlV5psBFxY2NjziIFPDcdmyyBZGaAGoHcpoqjsbERs2fP9p8RMy/MGWYYxsKQSqX86rV8OI7qY6KNi0PHCPWDvq9ZTxo8YSkHZRwj/jyWwQV96Oe++jDPMngtAQnnHfZDAZBjQGlWlu4bVQJCxxvRh3q9RpLNZr2uAVoWJeC94n3lamI0BAgzu/XadHVLzQoIy3o4Z/081DhUIydEz8nelLW1tbaCpGEYC0wymfRtV3RxFf7P517qGSA3oAIgxzFP2UVZyn1VjrNUsKioqFW5fxj8B9DKpgHgbZpQlmpLGD0n5WxUny1mWHNfRXVMVF8wza7WIL4GLIAWvcF7yf+5YABtEM6JdpLON5lM+s9G9RDPpfqc900THDQhQG3T0JmXyWR8a4Xy8vLI/mSGsSxgjrA8xIpamhaHAkszmih0uVQuhVOUQyiMxFOwsQSC3n5moWmNd1lZmVc+Gj3QjC8tV4l6yNZICNCixOgcUyGqZSBA6yV7Q4UBoNUqlOpQI9XV1X483ttMJuP7hlFZ03FF55em7dKoKioqQm1trXeiETr3NNofFQHSElM648JrJel02pesdu/eHbNmzbIVJA3DWCjYw0oXWaHeUJ2jP7MPSJgprKUuGplXma6GBQ0KfQCOxZrLJCmbVXarscCHag0iqPMrzMZllm+YbRwGWdSxxvGjnGNhZlZ4fuoVfY/XkEgkvGNLy+DDzGMt6QGQYySoI07nHKIBIl4DnY28x6Gu1qh/IpHIWWnSMAxjftFVcDVLKrRRQj0TlZ2sTqGwGkOdMETPp0446gQArWS02khh6aCWFOrvqm/yZU+RUGZrFYkewzFC/aMBei2fV6cUHVp0CPIzyGQyOfc3rBSifRdmUqtu1+vX30PHZbivzp92nwZ5rHG+sSxijrA8xNB6dUd1UNHZoit9hMKGEYgw5ZRjqmNJIyXaIwZo6X3FY4H80RqOR8GqxlVYzkEDRZtJMoLBaIY+6FMIhynNPA9rzjleVB8ZTSFWIa0r0agA1+sgGgnR6IiWBml/MlWUUc4955xXytqDjceo47OoqAgVFRWoqalBbW2tlawYhrHAUG4z+7dQ0EUNkShdw/+pRzT6SyhXw4g69Y0GQyjvOU6Y1RRmP/FnPQ9/5j6aNRZmekU5hnQcveaoTKvQoaTZZpyX6h1mDeuYob7S82sWgJIv+KTZ49yuBllo6Kg+5M/Up4XKKQ3DMApBuRPaNCr7w55fUfJYs6P4uzqkVFdodnCY1RU+r2sFRhiM1zF4rPZkDMso+Qyv1Teqa0L7imNophnHos5SvRfaCFGZ2rQlNEmB74cBHJ4rHIOEuj1Es4/12FAvhgEftQvppGNQzjCWJcwRloembJNfyZAvNkqng4uN7YHc1Ti4WpVzDtXV1T4ync1mUVdXh6am5rHT6bTPdNKMJ21ESeFbUVEBoKXxo2YJUHDzoZmNj7XEgvOjg0tLXZi2S9TxxlRqKhaWa3AuuhImx+eqMnrfOJbOm84nbWZcVlbmy3rq6+t9ZhdXimTPFm1cyfvGCEyYzqyOMyonvT/19fVeaYRRM66sBsDPpXfv3qipqUFNTY2VrBiGscBQj1C2aZCFi7RwHyD3oRhoycJlZFof0FnyXl9fnyNL1fDhObXRMbPUGDUOjRigJdjCB21up/GhDifdVx/aw+wywmujLlPnnT7Aa1YXr0kzvDSAo/eND/rUF0DLCsXOuZx7qkZcVJ+ZKCMv3Ed1K+fN7bqN42nvsng87rOk582b145vlGEYRi5NTU1eB1AuUv6zzQd/VqcTZZ5mz9KGIZSd6XQadXV1PutL5bUGd+gM4irHHEPlKJ1fYSk5XyojiWZuMauZhFUjnBPH14VJVM4za4pBE5Y2avKC6lTNRlO7RrOKeY2JRCKnckXvFe+BZltrYEcJkx40aMXtUVnWvKeNjY2+HU0sFrMVJI1lDnOE5cE55BgB+uIKkA0NDTkP8po1xUhG6OCiwVNfX+97f6jA4rhMny0EIxNhdIOefXXqaBQcyE0nppILI/x6rVoqQyHK2v9Q8OuYWu8eRnDCiA2AHMWgfbjCY+ns0uvWElSSL6NAz83xVcno+yUlJSgvL8/J2igtLUVlZSWmT59e8DMyDMPIR1iSEhoDKn+B1r2x1HGiekB1SH19fY6Boudmj7Aw4yxEI8vcJ8pQoQzV3jH6QB9mNnG7BlOo97hfVMaXGjHUdXoPoowBnoe6Q+9rmNEdltLofHVuijr0wvNHjcFzhw4xXTgBgF9B0hoaG4axIOjzuwYI1PlCHaBOFxI+K6sMoo5ib2PqGQ1gqO0TOv/1fw2U0EmjmVgqx6OCQaqLosrpOR+9H0xQ0CB5CB13YfBFEyXC7GHtG0Z9qQF4HTvMFta56mcQVYGiJaTh9tBGUujUU6dgPB5vlUhhGL92zBGWD1ESAHIe+qNSg8MyktBLD8AbJZlMxhsnbFjIDCwVrFHllkBLSUdYG07HHJBboqJpwlQazKxSJxQFsRpFqiAprOvq6vy9CFOEmcnFJowarVdDKoym6xhqnESV2PCaQwOJ4/K4qBRk3pso5VBIaZSUlOQ0rkwkEj5Sb4aJYRgLgpY0RJU2hNlGYfkI0HoFYO7DBsXUN3zY1ei0ZoWF5wodXSpL1dmlwQlmBashojpCyy45Tqhn1NlEPRXqKHWg6erBXMhFnWH8PdRXoR4PCUsb9R5HEV5bOE6UzuYxYfZc+B6ztAvpKMMwjCjCYH6oawrpIRI6WzQArnqGdggdS3QYacazjqlOrjBwzX25HcjVQ9qjTOViKIvVsaRVKeE94jWG942OLJ0H39NSzijZTD0WNUcN2us21WF6P3RbqGsK6al8dpAmcfAz44Iw5ggzlhXMEVYAZlQxGqD14VrqwQhDeXl5Tl15UVERKisrUV1d7ZVAJpNBOp3GrP9j782aG0mSbE0FCBI7QDIisrK6+vZ9GJn//49mRGZ6um5kRHLBDi7APLA/w+cajsjqmarqWExFKCRBh7u5OajH9OhRtfv7kilgN8KLi4vYbDZFKeYmufv9vhEQeBv4nKlxNsZBEg0RbcfjsaHCsirNTTS9aEc+7VIO93nZ7/dlvo7HYwmM3GOF7DbnRW7N3OHEr66uCknoLIxJO8z36mfEDmcm4Dy24XD4heTYpaOMHYBYLpcxGAzi6uoqfvvtt8b8VatWrdrfak6c8GXCA4zwDsXH41v5fURz8T4ajWK9XjdK6/f7fSwWi0IyOeDw7sRgDXhgtRXva8MUE2G+n9wr0hl+fgY7c+LHSSWTVZBB7ofpAI6yzqwk4Diu6V0yMZIbDoTIlBMknFNoW9nVlnwxseVdJ32cMc+fB47r9XoxGAwaOFqtWrVqf4uZRMH/en2LiisTZYPBoPhifNRgMChl+y7jXywWBXtQTXW73djtdrHdbmO73TYa8JOgR2XVRoidI3DwkU54uww+40xWHFv9FnEqgQTnvIt92xjc88u/u6WNWxEwxsPh8EXpfa/X+0KdjDlx4hiDZ+GklfupEbtaIc3cYY61wJmLi4sYjUaFuKxW7WewSoR9xQhIKInDUbDYNon0+vpapLNZxWSSBSdF+QNZhYimYgygcaPGiKZDxFnzGr21ctmKd2fB+U0mkwbAcR856+KABQOsOHe/3y+qNl6nj5hLXQAqn8cS5YhoyKqz1JjrOSNix55LMNvkxZiDE8pTc/aFAIiANG9YQL+05XJZd/aqVq3af9nsh6wojjg10s8l8CZKWFznxbYXviyKvfAlYQEJhn+N+LJxrwkwxpmDhOyLfU8ux0c9ACaY0DIeYL4O5YEkdJib8XgcEV/uBJbnOSIaZJvvmTGAn9wDigOPry0w4v25HMf3wRgdvDCWP0qkMJZz569WrVq1c2bVblbBmnwCG9oSNBHNxIuTFBYJRDQ3ZaH83u1efL2clDiHMzlxwHUYH/18Wa8T01iN6/Ea3+xfwRjjDL0awQdvgtaGk94FGpV0mzk28/uNJedUyW2vG2c8rjaln9vc+HzcbyXDqv0sVomwr1h2Eg4ucKpu1o4T6fV6jUb2XuwSmEAcQURFnGrpAQ2Oz0FHJqz4IquS+1xlEOt2u2VLXwOayaaIU8YmO1DLmfv9fvT7/RgOh42SzfF4HK+vr6WZvkkpruv74bsz4NyDwcxSYgcGbaDA676WgRPAeXp6+mKOuWfG26aKgPDL6r1q1apV+1vM/iTjjLPdEc1yOnzhxcVFWXS3kTrOsnM8/t7KXwcIHpeDCAdTJF18LPiX74smvLkkx31UHKDl+QEPwE0a+zIOlFL0qzyHBTaXfnjerFLOAYlfy0kX7FxJUU6I8brLQc/hO+fNAWu1atWq/S2WyaRMPtlf2keDGyRT8rFZpWS8sTrLWOM1vM+Tk/4QMljGN15zLOJ7Ox6PhcghJrMPzyQeP9OTsd/vx2AwaOAOOOMkSo6P8n2BfTmJYVWbv5zozzHSH5nvrW1MOdmfYx6UgpUIq/YzWSXCvmLsgrLdbhuZ96yeIhsxHo9LBhnH60DCTuXq6qo40Pl8HqvVKjabTaMvmIken5dFMeUyqLLm83mRJC+Xy9jv92XsAAV/Z1cwiB4HSlwPR0jghNP0PZE5sVoLlZXLGAlaLF+O+LKOnbIaVAR20rvdrqHUQiVAyanBLe8Q40DDijwrAwxEEc1tkV0mCyAeDof4l3/5l3h+fo7NZlNBo1q1av8lw+dRokgvL2edTczgp4fDYfGBkGEuB/QukFbt9vv92G63X5RNeMFtZa+vGRHlHGBdt9stijJKKp0QykGUgx3wy9hobDC+4nfBGxI57hHjpBHme8zBBCWnJhsZg5XK/B1M9DgzAZktk49WB5jo9EYGfCbAV8bCTmidTidWq9X/x09ctWrVfkazUsqVLOCNiRH83WAwKMSWG+3jL52EccnfYDAo8RPEkdftESe/Dk58DWcuLi7KuZy4Ns5Qdg6pZlLOOOMkCPNikUC/34+rq6u4uroqRJgVXU4E8V78uxW/beIBXkdZ1vY+q7azOrqN3GJsxn0nwjqdTkMJzRg8L8SVxJbEp3UHyWo/g1Ui7IxREuldNVjI4tQ7nU5ZkOOQ84Ka9xHY8DqL3Hyse3J54U7T4IhoBQE7sogo48rlIjkosPyZbAevs4i3E/ei3+SZFW7cKw6WUlJvq3w4HEpfMEt0mROXVJqA4zzOyABini+DQJuKjDnIu7I4qOI4rmFVA9cgyByNRvH4+Pi3fbiqVatWLaJgQu7JCAnmwMPN6Z11t+I4f+FbTTpFfNk8OeLk/6xwzuozejaaIBsMBuU6WWVl1bQxxeNzMsZ+O/tiB04OmpgfSlms2MK8MybjY/5yuaLVWy7lwazIckY9H+c5+FrJJvh1TlXg82eVRLVq1ar9keHLrAA2KeRkNySPcQbz+t3vM6EScfKRYFre+MvvaVM582X/DynFOJzAQf3l1/kyjkacFLr+mRjKsRyigYho4IDb45Cwd8m/Yxdfy1U33Ldx0MkVq6y/hjVWlXENH8/ctMU0ef78bCD76k7F1X4Gq0TYGcOx4jwzCYYDsvO0rJVz2AmjjjLznx1iltn6XFntBGg56+GggEwA5Yk+H4RXJrqcOfhaYOIyDd+/5dAESTSjJ5vjoA8wdmAFgFLqEhHR7/fLHJkgc0mj5z6DKOY+X1l5wOvOiBnAAY4MNIPBIEajUSwWi1qyUq1atb/ZnCSxCslZ5ohmD66seoqIBobkZId9ONfMx9q3edEL6YLqmew4Y+l0OkWpFBENtTTXyxuaOPGSSai2shmTXs7O5+w2SmKun9VbJqQ8nw7mTBoyV3z3PTujnu/NY/Lfv6Yey2qzbL6m+2RWq1at2h8Z6/G8O7AJLcclfM84kwkw+6zsv8EVfG4bQcPf6e8FAePqFIzWK5B4VusSr9n4m8fM9Z14YdwQXJmI81gjTmq1iCgln8yN59ZxRE5WMT4LLZx0Z/6J576mOnbCBXNCx6+19eH082O+wBkqhyrWVPuRrRJhXzEvPHEQyHIxkzOADcGD5cMvLy+FnEJtxvuRK/t6eRw4fXYvxHmORqMyHrYvPh6PRVI8n89L+SBO1UoBxmfCzWoEN7jk3gaDQenTAtm2Xq+/IM4uLy9jOBzG9fV1dDqn3SbZrYwm9d6xBaDLWf2sVAOIvbtLnjMDTybEsjqgzdEbeA34zuqsVqsYDAbxyy+/xOfPn7/IfFWrVq3aH5mDEPtlE/wssL2oh7RxAsLl6BFNosc7ZkWcSKZzC10nOdyg3mQdm8SMx+O4urpqEHg5QMljY3xOMjEPKNC8GcvLy0tst9tGOY2z16PRqFwHnHVJTL7PtgDQ2XmTg1m15nNwr1bdmXjk97bA0tfO6jGPF0zsdDoxGo1iv9/Xcvxq1ar9TZaT6fgZShatjvUXa3MTNWCQfaavQa9jEzmOa+wbnWCIiOLruSZkE1Uuk8mkJFycZMHn5wSS1b1OwkNSUQJKv2MwdbfblUocY83FxdvOilZXoQzzjpFcH6V0xgbemyuATNB5B2nHICYVvT7g/RznebWq3DjD+Znvp6en0u6m7lRc7WewSoSdMTvQiOZOgQQOeRFqRt0NIrMyCUfmxTqLWme/HaAYkFj0W412cXFRyDXGC9nFsYzRJFjEl0DovgHOQJNxp2+AZbgm8ShRiYjY7XaxXq/LAp4MQ8Sp3NMZiMFg0FCOkaHp9XqFlLMizNJm7gPQQg2XA52surNE2M/aPXeyMs/Sbp7HcDiM7XZbg5Nq1ar9TeZyhayQwu+AKVZv2We5JMPnjIhGEABmeddGK7RszpDzhR/OO13ZdxprIppbtLclJfL98F73fcmEEvPkBvqvr6+x3W4beOC+MZxnu92WcRvDwA5wiPkhoHGwxtogK5E5lvHnDP/XzJicMZ+fbb1er+JMtWrV/iZzsjgnBEzW8Pe8rjfBZaLeBJmTGXl3YJNIvq79tAkwsKctKZBxAoMc6/V6sd/vv8A1Y5Z7LtPehDnimnnzMBNzu92ugT+Hw6HRIsBjvby8LEIHhBScl9dzAj2XQBqXXEXD2uBrKuK2+29L/ueki+fHxGm1aj+aVSLsnHWa/U1wTG29WSKi4UC73W4htlA94SxRULGYJzCxxBYH5xIQBxAAhmv53Zzfaqjn5+eibML5E2zxM9fNZBhjASDIzKN4c+CGE+UYHC2BB0oyN2Ikq7Lb7Qr4DYfDhnIBEo5M//H41li6LXjDOH6z2TSCHAeUuallGxEGqJ175mSV2MFsOBzWnVaqVav2N1sOULLvtY9ytt4EGUGHSRuTKk5ugEvGmlxq56CljQhjRymOzffjgAfcMt6ZJGojwSJOJZBglpNSEc2G8i6n571k9vkdNYEz9cZM71bs7P4fmQMa3y8/+z7PmdcQ7p/mv+UgieCkWrVq1f7IXEKIv7Pv9ffst/Bpuf+VE8sRzfYx4Ix9aFv1hsmktoRLNnDAfSo9hhy/2BzD8TsEnBMuue8ZVSjMBSrjq6urGA6HBc8gwjqdTqP1DISeq4a63W6j3csfJUvceqYtvsjJ/XzPmAk0cDljjD8HfhaVCKv2o1olws4YjsVlKjhYfnZJIY6KHQQ5drfblb+TEWDxvd/vS5kggUybQzQzn3dysQ2Hw+L4uM7T01NZ3E8mk4YT5v2w/YydQIexR7z1wYJQs8otogmAfLlu/uHhIa6urmI6ncZgMCj3RJ29d8PK52Mnsul0GqPRqJR/+loGV/ogRJzKcAgu3B+BZ9xWf+/Azb1pXLrjLA3ne//+fSH/anlktWrV/shMcFlRzGtuNuxEh7/zd9SvToKAUZTf8z37QgcVzsg7+UECBqKJ8XoTlIgToQORx3cSCyh+SYBk5S44Y7VwDtIIhuyTIyJWq1VcXV3FaDQqhFa32y0/0yaA+3TgBBZQIuN5Rx1gYo9EkpVumBV8Hh/3wrNnvqzg9n1l5RlzQPB2PB5LsqlatWrV2iwTXE7I2wfi83KiwsfQfsXEEecCY9gFmb9hruLAL5MkNylmDMKctED5RYKDczNmFLPEVcQ47pdsPLMi19iYBQucH5yZTCYFW0jkcy38/uXlZbku8crFxUVMJpMS01hBZ8zzvbtnWMRJtWUM/CNCzH8D/0yIGmfAWEQc7tlcrdqPZJUI+4q5t5ZlsnaUBAFeqJssc4P8DDSZ1MmlIzlz4gaO/Iyk1xLeiJMk18GASTaTWLk0kfG5yaPfT6YgogmUGIDjoCwiCqlFAMH4ZrNZI8thELbcmsb7i8UiNptNIeogCt03wMCQQcLBX86YcD7X3Rsg2pqBAlL0Gbi6umqUqVarVq1am+F7nXHO/qYtWPEXZJf7KPI6fVr4Gd8IgeOgBF+Y+2+RFaZHmDdoAYu4bkQz2LHyCswBayDTslo3+2Xwpk0lBcmXzVjofjCodplTBwiMkb5n/X6/0c+Se/N5GR/fPUZjTZv5XLn8k9fO4ZPXANWqVav2Ncs4k4kPr3dN7ht7wA6v1fndiWsTOibzHb8QnxhjrD7ya5j7ZUU0e2lFRCFs8MvcK4kVYjH7fquuz/lufrYwACwz9oAz9Kr0PNoYBzHNYDCI9Xod6/U6drtdOQ8kF2Nwgp8x51gnookrWeXlckl/BvLxPjbHltWq/WhWP91nrVPksgQnXqDb0dvhUR9PNoTSDs5j0CDLkAMbsiNWOnmnLmdLcPK5lJKyyYhTn5OIk7Onbh2AY0cwShPJOgOCkEwAm4ET52mZ8mazKddj7NTtoyIA9GazWRlLDmqYs91uF9PpNIbDYczn80ZmiPkwiLvUhXE6GGvLkGC8xnz6ObrkxyTg8XiM4XBYAqiaPalWrdofGQtO+1ov0K0ywldnDLGSmEU7xFhW6ZoIc4CSSSorXvnuvpTgTkQUQosxZjInBzD4UPAV5a19N/fCOTxf+V45HqyJeAtQCP5eX1/LeEn0UL7D+R1YPD09xWg0iuFwGOPxuJzb82X899ogk3Weh69Z/ntWXLcdT+Do8VerVq1aNnyIfXEmwiJOhItjG3CnrWIlq2ZNmFkV5d69OcGSyTAnWhzHZMWtExn83X4QH4lYgHjD8QD37GS+Yxr+7kQT88h35pHk/sXFWzN95sQEGnNGDERMs9lsGnjCnHGO7N8z+cXPbTiSf87ChfyefE4/h4oz1X5Eq0TYGetEk9jxAh/yZTgclt+73W5xeJkg4zUaqUMsoSQq10zsfCbfOCdyYjcTNrvf6XRiOp3G1dVVXF1dxcPDQylFcQ0+arbcTN8Os9PpFJLMpTbcg8fqcwA0gIgDLc5Nrb0DPhRyzB3v//jxY1xcXMS7d+/i119/jcFgEIvFIrbb7RcA7IyRgdsLAJ5pDjhd/uKsUcRp8wITai57eXp6isFgEO/fv4/1el1r6qtVq/ZVw/dk3++MfMRb4sJ9vQhYrAizInm3232RcOF6Ec1dw0h6ZLzhnO4VZuKM7/RJ6fV6sdlsCuHm+8rliBHRwCv+5p4qkHUkQ+zLrUKzwst9JSHBwDnuyarkrGQ+Ho+xXC5LSeiHDx9K1t49J3MSqE1NYCIrE2Vfs6zW5l6NJ3xu2Lwm9+OpVq1aNSzHB7zmxElENHyv/VBO+FuN65jGvtYKNHADFVibktgJF5Nj/AzOXFxclPYzbtOCT4+IxnWteo44kVi5/D2r3Xys58tJJJfNO/awoir7bY67u7srFST/8i//EqPRKBaLRSwWi9ZKofw8M6GVcRXLiSm+gyGOi/Lx4P/Fxduu0LRWqFbtR7JKhJ2zzgkUcHjZuZmswam4GTwO0D1UAJVcNx9xWtx7xywTNIwFxwSwkK2wMsxjxNERzDgrY7Bh0Y1DRQlFJh0SiFKRnKkwaHAvzi49Pz8X8utwOJQsyOFwKKoCg6QzPPQv6/f78e7duxiNRqUccb1ex2q1iogmQFjJZ9DwczTI5EAlZ0qcOfN5nGGCIEXh8bcEPtWqVfs5Df/kUkOTYCZ47MsjotG8vi1IsV/KSq2IaPhacMMBCq9l4ss+376Vr6wy41ycz2WZ4I7fZ9UCwdU5pRXnxvw+5pYkVMSJ9Ds39xFRlMlPT0+ljwtYu91uY7fbfTWLjnm+TYz9kToMHPbulflaObCrSZdq1ap9zaz+yjhjkicTLxBUrOMjTkkD9+0iHshqo5w8MbmVkyB5gxSPO+LUF8tjM175fNyHCTnO4X5kx+Nbn0UUwudUVlamMVfuY2ySzMl145qFD8/Pz7Hdbkuihc3DIqKUSnoctjYC7Nzvfhb5GGO0j8uYHhGNTXKqVfuRrBJhZ6zzn6WRsP1u0IhzoJwvoulYBoNBARoW5tmB5KCGBbu3q0Xt5Yyw5bdIVsnIOJBx4ERzS5e2eLHtJozuxeIAZTgcFqf58PBQQI/7z4t7gisTcowDYF2tVo26d28IYFKOeVqv13FxcRHX19cxHA5jNBqV0pXtdluAtY304mdnxjjGDfddjmpzZoTfKelxsIoK7+rq6gs5dbVq1aplgyBy7xAnTVhwZ5VYW9Ijq8PAnrasMgGCCa9MCnlLe4IGJ0CsrDIeuJQfDLXvzOoE/D0KZI5dr9eNgAvLAYoxLyIa6jnU2tnfm3RzyQzXo5R/OByW5EZElObLzHEOPM4lP0yG+dkzTh9n3LcyzIRXDjKrVatWrc3wg969HnwxAea4wT4e/4gfd9N5fGAWBzi2cam9cYbz2x+zdiY2gAhzYp/reE1uv0nMxt+Jb+yDabTvuUBZ6/jBY+Q8VsR5XmiJQ8IlixbAEK633W7j6uoq3r17F+PxuEGG7ff7RnzxR+aYJh9/LqZxLOR7zUQY8WONZ6r9iFaJsDOGo8P5WuEEqbPZbFodQ1YN8drV1VUDKKi5z8EEThQgsEy50+mUpuwQbpBm3o2L8zpb/Pz8XLLbJr4s60Xi7Mbzx+Mx1ut1TCaTQkCxOIfcOhwOJdiwksy15ai2mAvMoEfDfsoxKbXhHPv9Ph4fH2MymZR+L7xvNBqVUkmCyjYpeFvwYRWcVXju1cZ9stMLc4oBir1eL+bzeUREBY5q1aqdNZdzWMUaEY1dr7bbbfHJ9svnFLAueYCQNxlmVSxKXr8/IkpDe/DGSSDGhsLX7+P6VjTnJIv9bSa5np+fS28XZ/H57gSD/TnklBMv3Eeec84LTnU6nQZuHg6HokIGjwjU2PaeoMfk1DlC6pwarI0UdNm9gzyXcjrYrERYtWrVvmaZ3LAfdvk8O9ib5DdB4vNB/pB8wWc6SU4CGcO/GqcQD7AZFqSbccZJD7ct6XTedp/3ayT6nWThHn1Pu90uRqNR9Pv9GI/H5fjtdlviIauRiQM4v1sOEOvYd/t+KbWPiEZ5ITiyWq1iNBo1Wt4Mh8OCQVbjtSX3v/a88+vGIo4hJnR8ytqE+aMlz3A4rDsVV/uhrBJhZ+wYzaaJlt/a8eMUyUBkR+PvdjCYpcbZsnw4IkrGhMU9i/dc+pKz53xnrF58W3UAEcbuJQYN1AFXV1fR7/eLQ/f57XghkqyGI0vz8vJSyiGZTwgsDBUar1u95obHALflzrkRpuchv+5MkQMSDEKReyKoA+wNvMwx9fS1V1i1atXOWVvmFcOvtKm5fIwxyOfMls+V+1NaDeZMNv4RYskZ87asf752LoFkDPhxgieIMpf8X15eNnq5nJsHxtmW9CA5EXEi3rhn5oxgCsyD+HLg6N4wBIF5I4Bz48uWy3s4Z1uGnvtj3hyMmbR0H7lq1apVw9owxoTUOXWrjzW+5PNmy4l9rK080n3BLBDISQbMVRvGG/tF3uvYhnYunOPp6amIE4wx3hTAY7cCl9c5H/diTGUOrLxmIzSSKRBfGRfBGTZEcx/M/GzOPW/G7JjTcZ/XF/mz0HZ+7v3y8rKhsK5W7Xu3SoSdM2U0IpoZXTskHKAt19PjjCBs8mLXC3w3nGehDVkFgEAgvb6+lmzBuUV0dp4OXHCOzghBgm232xJAcD8QUdPptGREnEGCFLKSiox7bhgZESVD4tIdervQnJHeZGQgACEIu/V6XUpUycpYQu17Zl4Zg/9uNUNbhh11AvMJsFmZYfCcTCax2+1isVhUIqxatWqthu/IPivihDVtOMTf3fvEC958LvuotoVxDk7suzkfWeysDHACwEGKcYnzmACjFMX9JjudTjw9PRX8GI/H5dxWH+c54LsTKTlR5XnJAcxwOCy9PV2mz/WsKIiIL/7GdTzfXytH4do58dLpdBqBT76HrNrjfCis23YYq1at2s9tJvPxUyZDTJLZP7UlTZwccYzjtbUTLk6uuP1JRDR+J05o8/P5GpyX6/k6vOa4Zr/fFwUvY484lf6Px+MyZiuwMmkITuYNWPhuQsntCkjUj0ajcixjySoyt9xxPOPS/zwvbZYxPs+j2zEYqx0z5nMTj65Wq4oz1X4Yq0TYV2y9Xsd+v4/dblecKHZxcWqKbnKEhbGBhSyDSwdh+8lM8B6c5WAwaNSWo5x6eXmJ3377rRE8EbjgiAEZ3svfc7N8CC6a33vnKRNDEU2yjGz51dVVCWScbYk41d9nxYJLTHMNP69zv7vdrkimf/nll8a2zD4nc4FjJtviDAtmkHcg4hLIiKZ6gsDI82E5NuVBEScwGwwGMZvN4uXlJf76179WMqxatWqtRq8QvrwTFz7OuwODHyyOM6nvRbMxISdK8OGcO5czvry8xGKxKOd1QBPRTBpYHeW+LRzn5BA4k9VkOUt9PB5LSUm/3y84SqDAfTh5RFmlS9wJqnI239n6w+FQdvCaTCaN5+NgwHNNUsoKhDa1mc+RlV+Y1XIOQNsSbd6R08FXDVCqVavWZk4mEIs47sAXsg7meO8Sj5lQox2ICbGsknV5PThhJdTr62s8Pj42zp/9o3cCZowk532cS/yIWRwb+LsrS4hpqCYh5nNiwTteejMWj7tNlECrGI4Bc40zEJBWMTvpMhwOG+NlDWBrI7x8fj+TfFy+jzwGjnN7gLpTcbUfxSoR9hVD8cRW9DiG3JCYhSv9uFwjj7PIZX8RJ1LFZQ+YnZodk7fUxcHyPvf98g4lXoRzrogTuz8YDMp1cfC5FNAlIQaE6XRaSDT3oclgyBw5QDqnhAAo3V+s2+3GaDRqzMnr62ujZPP5+blcx5mUrIrjPgBVvmfg8NwTfGAm9pgrgw3k2WQyaWTdqlWrVs2GWhgfasxwvxaId2edeb99qUkizD7Pi2F/RTSxxsopCC6re91fy8Z7fRxBxmAwaPSOseqZ8+TGyRw7mUxiv9+Xpr0ZM3MA1eav2xb2lJ9wf/l3MB31c+6xCU6ZZPQ1cvLFY8sqsrbXGLsxy4Qb50NZ8bUS0mrVqv2cZmWrkxGOKSKaJXFZSesEsY+338v4ZOzJqjGf077O7zfuteENOANu0LqFc7K5idf4Vnc53gBnSL5A9BGDMI/2w22Ek+fjnBABQoyYCJwZDAaNhM+5OONrOJPHlPEgv79NJW5M476NeTW5X+1HsUqEfcVQg63X6+h2u4WJd320nTSO1uCSMy9YW5BiMLDzMdHFuQEmZxrszCCHTGJFRMmQuNl+RJTG9LvdrpRZsHsL5wcccOivr69xfX1dCL/tdlsAFqfOzlueL8wNJS3BpiEjTRkB7slkUprkb7fbslmBVWmcg+85YDJI02uNQMZjAfj4+fn5uUE6msR0M2YC0e12G5eXl3F9fV1UgxU4qlWrlg3/At7gQ92DETLIZFFENHDJKrI20t3BRVvZCcRXDkw4F6SUz+GgwL6de+J4MMPBkktVeA/JEvCJUhKXmbB5gO+be28Lur5mkHOU4BN0jMfjGI/H0e/3S6sAAhMHjii7wRXPnec8f7UlZ3LAwX1b7e37cmKN9Ue/34+IuklLtWrVvjTjjBW6lCNGNDcXMRmFDyaecd+qNn+WzcSKfVcmw5wYMaa4asPrdXAARS8tV/DlxoZMULXhDPOEcs73iio5bzBja8MAyDlwhnsYjUaFeANnWAOgDOccEGSeMz8nz5mTZI6zzuFMJiDB7U6n2TCfc6OcqzhT7UewSoSds85bs3YcJ4QKO5iwILZTZiEM0JB9weFCkLjWGwcTceo7ggPiWEgo9y0BwHjf5eVl2XVkMBjEeDwuwAHotRFx3W43xuNxkeqORqPYbDZfKKCOx2O8e/cu3r9/H3/5y1/i6ekpNptN3N/fl/r7q6ur4sxXq1W5f8ZHuefhcGjUweNc3SSZssnb29vodDqNXjL/43/8j4h4A63ffvstPn36FB8/foz/5//5fwpBSJ1/xKkXWURTbcB1DRY5C4WhvnMgQ7NNZ+oJFlEuXF1dxXQ6jYiIzWbzd/loVqtW7ccxyBT8Bb7ISi+USH4dPHJ2n0UqCYKsEHNW1wtnb3oCbpjwYjFsZdfV1dUXWJPLUHJZOceyWxcEk5M1vV4vrq+v4+bmJn799ddCCg6Hw9hsNrHZbKLb7Rac5f324ZTm87rLTDjGBBY9wgjCwKO//OUvEfHm/z9+/BifPn2Kz58/x8ePHxuYyvySRPL9tCkheO5giYMp5hlyKysSIEW5ttchfH5qgFKtWrVsJLCJU+wbTSrZiHVYf+fKE1RTJsUimv0b8V1O7KDAsiKKa5GoHgwGJQE/HA7LNXNLgIhTTHNxcRGj0egLnHFfL3zrzc1N3NzcxC+//FLm5PHxMXa7XcEacIaYgvERk1k1xziIOcB2YqDxeNxIvHMPf/rTn0pc+e7du/jtt9/i48eP8X//3/93A8fBYuIMrhHRrN7JqmzMSRiry/NmLLkKKD8fSiOrVfsRrBJh5+wYDYIDAsysOQRNLnGMaDanzBn9XHISEY1AAmDI2RbGQumhQcl9Ukyu8ZrJunKLAi0cOr9bTszYbm5uYjablf5YEVGa1UMMWdKbQdPZCi/snYFyw2artrgHFv30G+D8nU4nFotFCaxyBp77dRN/no/BIismDCbMKYGKS0/z54JncDgcYjgcFuKwWrVq1bK5VMOv2ex/7KvbSiXw597IJF/Li1y/P6udnbHHt3EcPtSlFPzN2WVfm0DACSCPeTAYxHw+j/l8HuPxuPSNXK/XBYe5rnumkDzx4p5rMh6/BqkHxkHuZSIKrHEGfrVafZGx5/gcZGAOFp2Vz/MfEY11gM3z2aa64DPkvpvVqlWrFtFUqGJWE0U0CZ22eCGrqrBcMunYwWXmxhT3JMPHZhzytR07mHCzWYVsP0gcwXjo4zufz2M0GpUyREQMjJdEjJXHnkufN8+LCUMLAmijw/1Q0ulkV0TE/f19ibHcj9Pqtoy7fg6ea/6esT5jj7Hcr/sZ51L8atW+Z6tE2BnDORg0cK4GCkgfO2NngJ1Nd8lGbhbc7/dLXbuJIRbXOEArkCJOJRAADFkbHCcZFQcHOYPhvw2Hw0I20eNqPB7HZDKJ4XBYSi8Amd9//z0Oh0Os1+tCREH4uDeaAdGEEWUwboSPxJkMNwEK87jdbmMwGMRwOCwqg+vr67i7u4u7u7tG7zQcNs+La19eXhbSzI48E2deDKDAIFgD+LgPgK3X65Xz7na7uL6+jufn53h8fPyiJKlatWo/r9nHGB+cgMGvWLXVRoZ4UWuVLaX8XCeXj2QSy4oonzuXsr++vpaNQsjaZ6WZEws+rwkdsAR8mc1mMR6Py++Hw1uD4YeHh9hsNqV3J1hDsMLC3zjjIIx7tw8Ga2hIPBgMvvD5/X6/7GA8HA5jNBrF/f19LBaLhuItz5Xnlr6iViX4+bUlY8All8Qaa/z8MPc8q1vcV6tWLaJJtDsBYn/Metk+yoSOExtWX3GMd9Vlje0G+b4GftrEDuNE7dXWToSqC4/Z73dShmNoAQNxg58nphmNRo0EyHK5jIg3/7ter2O73ZYkDGpbJ1KMN76259s4w8YBFkO8vLzEeDwuG6UNh8OYTCbx6dOn6HQ68fDwUObRKmeXNHY6nYYoIT/3iGYyBgUaxxmvsyrMz4ckDVVIy+Wy4ky179oqEXbGcrmemXZIGTseZziQ40J+uNGkJa5cx4onN4kn+42TIfDI48S2220BCgKd3W5XjrOsl8U7jpAmjlZqmSjLmQZA8cOHD+W97HhGZj6P7+npqZGBNzDkXdLIxuz3++j1evGv//qvBaABBAgyyMHr6+vYbrexWCzKM4GIM/BHfKneayMy3XPGKgr3B9jtdo1mm1yTnyHCdrtdLBaLuqtXtWrVirU18M1/j2g2Urf/ZTHq5AWllPZ9vAff6wDIC2LMQUhe2JNwgSQCG6yO4hxgCiouB07gkJMJBDk+B9e9vr6OiDdcIkvuUkxjzevra8FR/DPfs6LBSoRerxfv379vkFCowlyOQnKDpI/x0eNuCx5t3GcOnIxH/O7dIr0ZTSYVCVbA/mrVqv3c5nL3TD7x94gTKWM1kf2yK1CyItf+F3+bfbrxi+tl8sqJCmIGJ6fBGftaxuTzOklg8s9red7vUsvJZFJ862KxKElt+3fHc24ZADFmnHF8wXkuLi7iw4cP5boWOlBeHxHx/v37eHp6itVq9UV/MJc/mgjMyfaMJ5wjJ9Ec9zmR5TF63onBakxT7Xu3SoR9xXDwXoxnZ2CzDDUTK7xmhxlxUnxFnPpQ4biy9NcS17brA0bO5lt55jKWiGbDZc5NgJPJKGeEfA6D0HA4LNn67Pzz9Q1Qzt44G+RgYjweF7LMQG0Aubm5icViUUDY4GZHDVGXmx4bqNvMYMrzYM797HKWvtt9K/Gk/1otWalWrVrEaUFqf4dlpVYuc4hoEkXO3ppYoodLRDSItnxuXvO5PU6b/S9fueTC5zD5xThNgBkr6CvpMkMrEFAJPz09xWAwaOzc1bYgByPAXt9TntNutxuTyaSx6Ysz7y6pWa/X8fj4WBJWbc/I6wUnxPwM8nzlJFJ+Ji7vbCPNnFyrAUq1atVyIiX7oEyU+H0Zl3gPft+JYJMkbZYx5VyCIB9jnPH9mGjy2tt4ZF/M6/QctrLMcQdJJuMMLVdIHHksjtWsQjZZZQzodN4a5VsAkHHm8vIy5vN5LJfLuL+/b1Sv+LzcG+P6W+b13DM3Zhhf2rCEuI8kTsWaat+rVSLsjB2Px8YuiBGnRbzJmoimjBSVUMRp5xEvhikttPzY6iXvrJUVSTg+K51MWjFOSiPyWL3Lh7PzBAfPz8+xWq2KI+/3+2WHrl6vF/P5vCGl5ZxkaObzeXGM6/W6BBL+2fdNAON+KN1utzTrZ5ydTqchJ76/vy+7ernk5S9/+Uvs9/t4eHgo88M8+rkaDJ1BMYBancEYMhkKKccxZL4MDv7bzc1NKd2sVq1aNfy5d771wh5rW9y6vyG+1cfi1/PuXhEnzLEvzr1HHGywSPcxLIQpY3e2nLH52Lyopszc/WO22+0X5BPn5T6urq5iPp+XsYAX9HJpW7Dj2wkwOC8b0uR2AOA+zZJNdl1eXsaf/vSn2O12RfHt58D88h01V87WtynxmD8r6PLr4GVOKGHc47ngtlq1aj+XuYKFjVTacCabEzT49dx/GP9vvx1x2mmyLUHicxs3ciLIxFobzhCD8HtOQoMz+HbiJPD2+fk5RqPRF8QZeGicWS6XjZ5hbTiJoQzjPsEoMPri4qIouZ+fnxttWhhLxhmqbaz+cqzItbJ4g7n0nNic4M8EY+6z6efi8teIqM3zq323VomwM9btduPq4qo4KhyQmf5Op1NKQyIiFotFoySFenIWpZa2so2uCRmM3VxwxqiXcDy+LufFSVJb/u7duzgej40xRZwyNQQQ9Fmhl9jt7e0XxBv3TlkmO3LlY6izf319LcdcXFyU8bmxfkQUJ9rv9wsYeTdJO+XNZtM4z+PjY3HeDmTm83n827/9W/T7/bi7u4uXl5cSXAEQPEdnaQygbWAKoZjLN/kbZnk2gdvLy0vZovk//uM/vnhPtWrVfk6jrJtFujPw+BgrvAg41ut1Ib8IJlwCTqBzOBwaZXRunk9QkBUCXNulk7zuc5CgmM/n0e12G7tXct2IaBBBYBSJAfvw/X5fiEBjjdXHXHcymZSEw3Q6LVhBQ2MaHkecenB6l0swFfzMZZXuQ0bPmMPhUHZI7na7MZvN4tdff20koowzDhza1GARp/5fbeoBJ2X8bEzsZeWFg9DRaFTmtFq1aj+v0YakbcdFyhHd5xafRVzhSoynp6fid3Ii2D7MJA3XtAqL+MEl8pzLvbi63W5R4YIlbkljnIHcenp6Kjgzn88bFR+73a7EXBBabADW6XQaCXLirOPxGOPxuPhfE1jGQ0obr66uSg9j7h1MM16DJ+v1uoggGAO4NJ/P41//9V/jeDw2kvwWRGDncIb5yaIN/63NvO6wYMCJsOFwWOLYatW+R6tE2Dn7T6dGmYab72JZTmvnRoCSCS5nCZxRyCUUbWUpDoxsNFW2LJg68+FwWMYGica1TDohbWZ7e5y9lWc4OoI2L94jTgRZxKlMk7ERPLAFMedxIGCFmjPsJha53n6/j9VqVYKT5+fnmM/nRU682Wxit9sVVZufU55/fjdItMl8rUxg8ZADRcuF/R4UdvRDq0RYtWrV8KW5hwt+CD+DH3V5BYRNVlDlRSm+Ly+SM3aZDMLayvP8Gv4691zJOOVr4yeNNQ4S8L9WPFv5RDY974zpAGK9XpcgxwGKe9dYzWBcsAqCwM9N+vf7fTnPdDqN5XJZsN3JlLaEjr87y94WuJjUOlfGwt8dpKBGBkcrEVat2s9tJNQzzmAmrUgS8Ds+BH9skotkgrEkK6XaXm9TCeeyecczbkyPv+Pa9o3uwRXx5g+Hw2HBGQg0E3bEeI7DjBtcw2WIkHEXFxeNVjBgjDcCiDj1bszzarwhRgJzKMm8vLyM2WwW0+k0np6eYrlclh5tJvhyTHNOEeZ4JT//bG1qMeMW91ZL8at9z1aJsDPW7XRiOp02AhKTVhBDd3d3JQvhAMUOyWWBOCs75IiTMsANit2U3VsRZ+CJiMbuLEiB6WcCcUMj/06nU5rKQ6BFvDn4m5ubGA6HcXl5WUo8KRHBebvPCmPt9/sxnU7jcDjEeDyO7XYbnU6nnMc7c+UsN3MJ6dXv98uujs66QPBZSrzf70v5CmD57t272G63sdvt4uHhoQRZBggTlG1y64hmzzWeuQHHcmuOtySaxQfnubq6iuvr61ICVK1atZ/b8C2UfeMHs3q1233b1p1AhC+wJfs0Z/2NO1aamYwnCMGHZeLFeIbP886TJFJMyhBE7Pf7Mnb36prP5yVI2W63xY/6Pu1rnWRAUQ0WMA6IquFwWIiwnEDCx0PGEYREREP9Df6yCcx2u43VahW73S4+fPgQV1dXcXt7G8vl8ouGxi5HdeDo+Yw4kYYRX/ZtcXBKQJIDml6vF7vdrkGecm9gZbVq1X5uw296c5OIky8kPqAqA9yw6sjEjX82ztjPOeGOea3thHqOB+x/s3IMjAGn3NqFOIVzkqwYDodxcXFR4hKUYU6421fzfuIV4jf8MERVv98vPTghvjLORERRp4FtboPAPDmmAXPev38fl5eXcXNzE6vVKp6fn2O5XDbih0wwes7aSDH+7k1iciLGWMSxFlv42ldXV6UiyDtbV6v2vVglws7Yy8tLg+RyLxFIp4goTvjy8rJRFmLZrjPD9MvyAhW5stVROBw3XkTK64DHNeeWNK/X60I+jUajMh4CHq7b7XbLFsKj0ag4R7IklPRBCnIf3k2LMY7H4zIudhK5uLiIh4eHMn/eVYV7YotiSioph0Fa3Ov1YrlcFue+3W5LXTrnYFfG29vbmM/n8e7du9jtdnF3d1d2diTgsbSac3BfABpgzGu5BMWlRbyXcpysqHNAdH19HU9PT3F/f9+qAqhWrdrPYyhkF4tFUbbioyBkrCq1H8sJEZP1YAw/Z3XROYWXky8EP1Z6mZhjbM/Pz40m9l6MR0Rppnw4HEopfL/fbyzWB4NBTKfT6Ha7MZ1OG2Pjy7tdumRys9mU8yyXy9hsNnFxcRGTySQ6nU5RKr++vhalsEs0+RvJJoKpl5eXgh3gohVis9ksZrNZvHv3ruwQDSnllgYmKU0UYlmN5wDEx/oZUgbbpnDmNXqFQojVAKVatZ/TNptNdDqdQtajnCWhkjEAX2KVkpMSJum9sQivO4ZxTBMRjZgm4lTOjtnP4ZPxu4zPOINIwYloShPp28v90IYlIsp3YwxJHXy4Syat/CIhEhElTiEWIqYBl4ihKFc3zoCzu92uYCSk4m63i81mE/P5PKbTaXz48KHgzGazKbi62+0KAWW1ne2PVGL5b1ibYMCYw5zTw63iTLXv0SoRdsYOh0OjWb6dPY41b9ebnQSvOzBwgBFxInJwoBGnmn3vQmjg8eKYBTEO3BkTrglZB+Cx8M7yWo6BwBoOh6UHjFVgBGF27OywApkHmELMdbvdAqqcmwU9fbwiogAY5CDBl/ureRfLvGMNmfDpdBqTySRGo1Esl8sGmDNvGTSyZNgBShu48HdA+Fy5o2XckI7s5lZBo1q1n9coOaGXE0EBmAPWZEKE19q+Z+Vrfq/xBEz6mmrK5RcOZsAa+09wAn9pFVhWNRkz+/1+wQQTZFZDkdihtyRjRh3G+ChD4dq5VwsEITv5ksRizFYnO0ADXyELCZQoj+z3+wW38j04oGCuzqnEMs7kv5n0zMd43UHC6fLysirDqlX7iY31s5Ms7mnoli9t62DjS1alOvnPa/ZFJvlNOHFum5PRESclm0sd25SxGWdMwHF/JtFyMshxEHEMiX7GSw80jJgNX4uQgHlFtAAGUa3DHEJe5fJ1E4CIF4hpxuNxiR8YA88JovBcTJFJsDaVmF/zGsCWnxkEYK4Uqlbte7FKhJ2x18NrrFaroh6C/e92u43yFf6+WCxKQ/e2chUyBs7Su5eUJbeW2fI3HKVLUly6hyKL7MNgMCiOlEDApTQEDwRfSHYhkq6urmI8Hpfm+S4BXK1WRb0wnU7L8WR5er1ezGaz4kj7/X5RqBHcTSaTuLy8LPPFvMzn87i5uYlerxfr9bo02Hd5z3K5LAHjv/zLv0S/3y87WhIoffjwIV5eXmK5XMbj42MBnYuLi0JAbbfbL8iwHEgyJ1Z6YS6JpFcAAGbFGsdERHz48CH2+33MZrP4/fffvwiQqlWr9vMYWWFKISiLwNeZsAdrKAUno8+xtryroEvqec3N5F3S4WbtmdiyIgtSn0b0YBzXcSLDv0P8obzq9/sxHo9L83yIJnw0eEsA4ISPezG+vLzEeDyOzWYTw+GwlHLQi8zJlNfX15jP53F9fR1XV1dl0xgnvMjUs9kJuITC+urqKvr9frx//z72+33c3d2VxvqeL8bG6zYThg4OrdBoMz+7NlKMoA+VHlhXrVq1n89QMznh4jK2nFynzNCN5a34Mq5YQdaGM5BMkDr2i451cvIF0gqsoV8WuGRcIW6xAppSRmIb/DWbuzjpgp8/HA6lNYx7fTkhDma5BzFEGEkHtzmYzWZxfX0dl5eXZYOyHENSXnk8HuPm5iYuLy9jMpnE8Xgs8dXt7W3s9/tYLBZxd3fXEBlAwFmI0RbTZJLTpOG5ZL+PO0eUcf+LxaJWulT77qwSYV8xq7Rg4DGAAofnoMO/58wHzhUiiGsAIMvlsjikyWTSCErslJ1tIUNOoJB3+6L/Sm6WbzkvAcZ0Oi09uiC0RqNRAc79ft8oX6TnWEQU8g1FG+aA6uHhoZQyMi/9fj8mk0lERFxfX8dsNivE0m63i9VqFdfX12Ws7mtGbzAW/IyHflz/+q//Gg8PD7FYLGKxWJTnSl27SxcdlBi4rfrK2Sz/bkWYn4N7+my32+j1evHrr7/GYrGoRFi1aj+xeXGZlV9WE7mUxeaekrwHcxNbK4VdUoj1+/3Gojcv/iNOhNnl5WVJtuDnwC98cy7BNHbxvuFwGMPhsJRKjsfj0pMFXLX6yj4VLDAWHo/HQoT1+/2ywxb42u12y+YxERE3NzcxnU6LMpqyIXakpKeLFb9u1I8CYDgcxmw2i/fv38fDw0MhKpkzsMaEmM24kz8b5373e1y236b+Gw6H8fj4WAOUatV+UjPO4EfwnVbmmsCx4bfa3otvxR+6L25EFMINtZWJGa+vGYc3kHHyw3EN42nrIwZZ5p2C/TNf3C9VNeAVyZxcJmn/CRF2cXERi8WioR6GdCOmmc/nMZlMShIe4sv3RpKGMVnN6xYx0+k0fvnll/jtt9+K+IK/0Q86l5pibWWRPJf8O+b1gpMznguIQOYVkUS1at+LVSLsjHWi01i8Gyxg4l1jj7kkIztQjkMxZPkrDj3v5NjpnHbUciYFp+bmwxBRWTqcF984W45jLO4pQobf/V24P5diUoZyPB4LWLnk0qq2l5eXWK/XpbYctYPLV8bjcSEd7YABMQIirrndbsu4c1lNr9eLyWQSk8mkQVw6MLS0mPvLwam/DAyWgBvM82eAeYAA7Ha7MZvNvihjrVat2s9lzsjmBagzxlYqRTT9ks8DRhkfHERwLCWCHIfPxj/6OJ+f81kF7LIaEjfO8DvLT1Y/f3nhb2zib+4rCWZZxcbrYKrL7a3QZmfkbvetF5n7xIBd3FdENEis/X5fEj1WSINP4/G4qL5pA8DcehMbW1twwvPPZaSZCPN7MnnJObi+y3iqVav2c1mbf4g4JVtcotdWym2zv7fylTgiJ0Eimr6o7fyZHMuxiH19RDOmAWdcRm9scfsU/pbH4cb9JI/AH8+b57Hb7ZaNxBxTESPRm7ItpjFWdTqd0iOZZwAOMZdWaFMeSaUS2EXrALdicRzj52X8+K9gQptCmUQT85xbClSr9q1bJcLOWPfiLZMaEaUcj9KVq6urRlmknYtJEFhyasXttOwQr6+vi7NzCYMJOEuJI07A0u/3YzAYxGQyifF43FjwEoBwfRQASKTJ6k8mk0aJJQ6achIUCTRlxKl7FxUDnxsoolZjzu7v70tQ53LF+Xwe/X4/3r1716iv577evXvXaGxMg/1Pnz4VUHGGCjk0UmgAKyJKFoidWzJRaGDIfXfyM4mIcm3uHWUEf2NHuE6nE5vNpmw+MBwOS/lNtWrVfj6DpGABSYmDy/Fdwp6TLi43oSyDshArwPDTYBo+3criNjUafyNAQLk1Ho8bAQXHeRMSnweVsZsFg5HgoYMw7pVEEufMhB59ujgPCrPX19eSqcfPM98QVu/evStYGBGl/Ob6+rokqJ6enkpz4ru7u4KPbhlgBfd4PG60GjAmEay1JT9yMMJ6oC3ozOagBnzKn7HhcFjKhKpVq/ZzGX7Tu9Wj3CEusSIs+/CIJg7g1/LmIFYMR0QjXnEcw/ns2604psIFvHAJfMRJZYbvxreisKIcPmMNa3OrwWh74qqQTH5FnKp5IKmIaRaLRcErK4Enk0n0+/24vr4uiSdikqurq5jNZmVn5dfX17L7MDhzeXkZt7e3Jb5BODAajeL6+joOh0OJyXi+tH3JbQlsbcRXG67k43NSjJ9Zt0S8VQW54qdate/BKhF2xrqdblx0T4tuM/P0cAFMIk4ZBZM/OGBnre2YcY7s6BIRZREPcUWG3V++hvuCRUTjuIhoBCnY8Xgs5SgouiBquDfIIWrnXdfu4IQsSK/Xi19++aUAEeUvg8GgBCLOiK/X60YAh7R3MpkUx0pGxdkQS6MpnSQbwm6SZGAA1tvb2wI0AIrlu23A3wYeJjpz5j1nv6w8IxBCRg2ROJ/Py2KiWrVqP59ZMerFZUQUfDA5lMsX8Stt2X4rckmOgFcoZnmdgAAz1ljxRF8wE1Kc3z1KfC/OfhOwRETxe4wBtTA7DOc+J+4B+e7du1KKgb9nA5L9fh+73a6MiQQI42A3MXqwUH7CWMCaTqdT1AgEHQQo+/2+YDD4Q09N5plgkR5j4FZWc+VsvS2XrvjZeu5zbx7UChxHKVDFmmrVfj6DwMmJBMwEWU6QZDUuCXIfwznxd8YZ4wTqXCeYIfxR+k6n0xILtJFgbcpWV6lQXcM6HJ/He8AGyhRzRQcY0Ov1SoKeWAalGuWHzIPJH3DXpBzJrMFgUO6Ba1iFxnlcQUICCiKOfpUIAkiAgUvgjKt4+H5OgczvbSoyjnNSzZVB7qlJ0r9ate/JKhF2zrT4xAHwj+/G7XbO/B0H2BacvJ36dN6IaJSouLwFwHAJHotbnCKqLkoL22q8TeY5MxNxCrYwy34Bi91uV7LrHONMuyXE1OOTdacvFsdb/uvSQebTwEcJJO/JhFN27A4YLXV2A2VAg+wJ42NucplkvtY5IMnzTtDWFshwjslkUoCrlqxUq/Zz2tdUPzkJYpxwiV72L3lxH3Hyj9mXEbxw3jZ1EotxyCcHRh4rvq7NNzrQAHeMTQQXy+WyLK7BIffowoePRqOiwKIRMhlyEjcEK743l8M4AQW2Mj4CK3DKgRvjsyqaXpc0UTamWUGRlRG2c6qvrxFhbZafgfvFVaypVu3ns7ZSa/9+Dmcgwxwb2HKSGGLL53FMk9fVLgN3g3xwJpMzHntWwDq2smKahD048/T0FOv1uhFXOH7gnkliUL1hEowSeMc0jCFXqEDOUWrvOfH8Egvx3dUrrBMuLt42RttutyUpBSZCQLLJwTlVWJu1xSh/C84wz8zP09PTWXyrVu1btEqEnbFu59RHBfkvMlYyCizAkRPjkGiSaFDBUZg8wzFb4mrwcC8xCCeDSbf71muKPljebcykF9l4yjRReK1WqzgcDo1yFRw4Tni73cZ6vY7/9b/+V0ScHB8ZBzeCh2xiPGRRVqtVGdNqtSpOmgb67Na13+/j+vo65vN5yaQQPDw+PsZ2u200vDThReZ+v9+XxsDcD8ESzZAthwZAIOvcfDqDb1Y7uE9Mlgs76PO2ywDibreLX375JY7HY/z1r3+tWZRq1X5Sc8bbSlI3sI+IQgrhKygLxDfZ5zjT7UCDbHFWb1lZlnuFgVOUdM/n8wZ5F3FaOEMcUTaCapoggQSBS2m63W7ZtZFydyeYwBknbO7v72M8Hsd0Oi0lJuzKBR6hGN5ut0Vx4NKR9+/fl/dOp9M4HA5lp+KXl5eibB6NRg3/7IAKzMVub28jIkppK3+jRw1ZfAdDeQ4zGfa1YCSXGnGsm1WjAEdtxwYA1apV+3mMKhT7dzAk4lTm9jWcyYQZZAv+xiV6tECxr3FVjCtPuD6J68lkEtPpNCLaNwDhOvhU99J05YpVS/hDcObu7q4haABrECYcj8dYrVaNmAZFGD298KmIAsBFl2ze3t7GdDotsSHvo2cxcQjN7pkLzuV+l9zPdDptYBxzwLNyX8s2AYG/cz2+E2f6de7FBGTECWfAVFTjk8mkxJfVqn3rVomwM3Y4HOJwPO0KyD+02X1AxYvPiDfn4d5aLtcABLJc2BkGbDweF6fjUr/D4VAaI7o0kN1OrCqzMooeKsfjsWypzrn8d5eC7Ha70heNeYEwoqmjF9y8Djis1+v4+PFjCYA6nU4pB/UOY2SRFotF6fMym80ajpSsNv1Oer1erFariDgFiQAa5Nvr62u8f/8+BoNB/Prrr7FerwspN5lMYrFYRL/fj48fPxaANBnpjBa/k+VHoQBo5Ywbiw3KZ+iVQ/YJ0BiPx7FcLitoVKv2k5lLUqycimhm440zEU01rBfwDkDasvdOXLjfGIriXMYYEaXs0EGQd230WFyiwjhpIH84HBpKafd8BDNY8FsFzf1g+E/ud7PZFNLp7u6uEXxRppNLULvdbtzf3zdaDNB3JiIarQ1cuuNWA4zRjY4p7fnzn/9cAoFutxubzaaUsXz69Klga0Q08MbPNwckfv5tqgwwtk31zXv6/X4hA6tVq/ZzGGttY0v22XxllRhm8gucgXRiMxATbE644L9ICufm7hFRkhmuAAEjuL5VXmBjHluOe0iSH4/HEot5AzLuFTItV+egyNput+V99/f35VhwgeqOiOYuycvlshBow+Gw0VeamIbqEavCeDaMj/7Rx+OxtCj405/+VFoKOKYhRl2tVo3EWBsJxvxljMmlkj7O7XGswmOdMhqNyiYC1ap961aJsDN2OBwiOtEINnKA4sVoVnrhWAELOyKcqzO/LrXgGi6v8za+x+OxgIhJNJer4FRRsTmLEhGNIASnSRDkMT49PZXdsjingzLOl4kgZ2kADUoncepkUOhTtt/vY71el55pVg0AFoCJyTjPI2MHqJ+enorC7Pr6uozRvcwg/SLii2fl52tSzEEkz8RZFZNy/sy4Zw/PZzQaFTCrVq3az2P4B6u68oI84suyhawksjrXaq82n2LFb0Q0AqSIKEkPL9ZNbPE6GGhc9K6KGCoxY42x7HA4FJxxIiiPOS/UGQ/3+/z8HL///nu5L4IsN8onGdPtdmOxWMRoNGol8dyH09n1HNgdj8fS/5IeKf1+P25ubsr90deF/jBuTs3YnGjJ92dSyxjj462U8P1kRSGlRtWqVft5zD0mrRz2Ojf717Y1cMYZYgGrmXkvMROvgyVcy5gSEQ2cMamSYw1jj5XJEGxZueQ1d27pgmV/eg5nIt5itcfHx5LEQi2HL4+IkvCmCgYBgsfF2FB/8zwQURBvcX33IyNRY3U28ZHVvxGnjQW+lvzIf/uaItn3keeOOer3+18ka6pVCuGSmQABAABJREFU+1atEmFn7HA8xvPLc3Gay+UyIqJBBF1cXBQSyuQW8tRer9dommuiiDpqq6EiojhyzCCBNNeldxzvEg3LZJEZE4y4yeVoNCog5ntwrfxqtYrtdhvj8biMh15bZPq5j8lkEsPhsGQ9rIRDvgsgLJfLMod+z+XlZaPpPYq07XZbsipsHQxBlwGRjBUZqYeHh7i+vo53796VQA3p9W63K4qxT58+xf/5f/6fpYTSAUgOFpkLAIuAFjIyN+wE5HNp0mAwiL/85S/x+PhYyyOrVfvJzL4W9ZI3STHRj9/Iai7IHWONzeowZ9Pbyh9IVrinFEkOkioEEfa5KHXd1Nf9yEh2OPjCN9LQnrJ59+4ycUbygHJ3suIswMEaMvduOEzAYWwiSIGkAjNeX1+Lvx4Oh4U4pJSFQCsnXSiVHI1GcXNzU1R2V1dXsV6vY7fbxfX1dVxdXcX9/X389a9/jdVq1Ui+fI2kshot4svkk4M4E2L8jfXAw8ND4/NTrVq1H9sgUvC33tk2Ikrsgp81iRVxKmmkJDyri4ghskAAwiQTU6z7vS7OZJk3EuNaxFZW7DJWJ9VNxIE5xEn4Yidr+BklG2NlJ+HRaFTuEXUYsYkT+cwVu16S7CemoaE9SjoS8pzfsZyVyMfjsdHzkniQ3eeZl/V6HdvtNm5ubqLf78enT58iIuLh4aGUxDuZ1ZZsa1N4uxzSf/PvzA9tbRA9uKVBtWrfolUi7Ix1OqcsNI7ZWRU7e8DDRAaKLXZNxBn4GJdesDOJAxQILJRLLHzdz8tlmpT9RUQ5nsX58/NzcUwcz3utXiIbQV36YrGI9XrdyNSjRHOmB0AysEa8Act0Oi0SYRoh73a7siukjV5dFxcXsVwuy66VzraY0CNwgaAz0chYn56eYrVaFRCmzxhgsF6v48OHD3F5eRm73S4+ffpUlGlZonz6fDQVaASqzCcAFhGloTLBpdVvvV4vbm9vy+ekkmHVqv08hr/Hh6EmBWv8ur8ivtzOPGfHnVDxrlTgDjsldjqdRlACdhFY+HUWxXnRD2nnEnDO7e+MyzhBwENpuu/DuELSxokgAh2SUyRnVqtVrNfrQjJR3nl5eVnmG//OvUKEETRCQhpr8NHcX0Q0cI8kDMQbiRsCid1uF+/evYvLy8uCnwRVvk8/X88fc8iztErCJTXMW/6coD5grNWqVfs5DKwBT/CDEBgcE9Esi7NPcdLZ1TLuEWYlrFW4xhl8McfzM1jDOBx3UJ4P4QaRlO+RMfNlYsy9KLkPfLMJQOKsnLTB99IbervdxnK5LLGT1cTg036/L+WKnU6nxDTcC2t+ixHAfloQuMqEY7kHx5o82+12Gx8+fCixEgro1Wr1RTInWyY4rUzDeL8/UxCnTpxxL9WqfctWibCvWJbJ2hnmrIfr2G1e1Fs5FHFi253tYKEecSKz3IeLa5OtJoNBc17O48bHLOSdAWHMnU6n4YABD2reyXr4vlzH77FBoFnxhMIAZ7jZbEowQQBix2uCjWuT7YeQ5L4Yp/vPWAYN+FK73+l0SgNOAARQnU6n0el04sOHDyVz4kw9c5YDOz9by7ldKunyyF6vV35HlTCbzUq2qBJh1ar9POYSRvvY3McrlyrkUgcrgzBnfvndZSZWW7GY9q69+CtvHQ+GOXCyAgzyyOe3QsnBlctsHAB44eyeVznx4+QNC3Pw6OXlpRBh7DAZcWpBAGaStCBgoVEygaIbTPMdha/bEPBFAgbcBmcYK9lyghUCvVwK+0fmMbaVoLSVOZmc8zOsVq3az2HGBPwq62ebY56IL3dB9/nyeTETXbkliXt4gRfENG4tgz/l71af8T4nnXOC2mowfLd3fcTcvN+KZJ/HSjjGT0IFLKH83bGU2+Acj8eyWZjnC5zhWOMM+GliD3LLCmpUYeAMsQ7kX8SpTDI/Zz/H/HlpI8x4nWdlIswbmFnAUK3at2qVCDtn//l/75pt7yBp5RbOkgXv8XhsqIlc0mLLRBivGUAOh7f+VZvNplGCiGzXMmfAxuQZGQEcr6W4ZvMdHHB9lFyDwSAeHh6Kk+ZeDodDUa31+/1yHbYlJkvh/meoywAKZ3SOx2NMJpMGOAA+6/U6np6e4vfff4/b29uSWbJ0mHkEPCjJJPi4vLyMp6en2Gw28fj4WLItw+Ewnp+fYzgcxv/+v//vERHx6dOnxhbL3I+df0STUCT4M/npgJAsGQuD9XodnU4nZrNZzOfzxu4w1apV+/HNuylacYSyyH7GOAGhbsWSFVJZLQZ2OGufyZqIKKUZVh7TbJi/u4+lS2YomwEbIPfpF2ICzAmPiCil8CiHnejgvlB1UV7PbpQobsELSh8fHx/LeHjdmMv1mFtjFLtXsjslPV9QxeV5tMJ3NBoV3OO6zDGKtdFoFP/zf/7P6Ha7jQb/LoXNAadxhfvNSRcfk415pC9mxZpq1X4Oo2QNHwxmQAiZHLPxHpLR+En7ZszkiL9DfBlnUGfhx4h7nFQ3UeXjSHSAed6p2ARe7mMWEYUo6nQ6pZE8SW/8o3GP+IskCeOwb18sFqXM9OnpKQaDQXl/t9tt4AxjRtG13+/j4eEhFotFDAaDgjOObazCI34hmUFMg4jCY9/v9zGZTOJ/+9/+t+h0OvH58+fGeJ1kczybEyuM3RVAbaIAPiesXWgrsFgs/g6f4GrV/nFWibAz1paxNjMPoEBy4CRZZLuxIU4qAwfmjAYLYhw8zpRFPMHL4XAoSif3p+I83sHEjfGpuSfbEBGNQMoZEQCj1+vFdDpt7MjCvU0mkxiNRqWHGE5wvV431Gr0CyMAYoyMnfNRk0+gB9hwDGWVjINyGMpHTVJCLB0Oh5JpctnRZDIpfVMAzKurq/gf/+N/xGAwKMqwzWZTFgFZidGmwoiIRqBETwOTdyws9vt9LJfLGI1Gsdvt4vPnz/8lZUC1atW+X6N/VVtwkQMTZ8r53Thl1Y/f10aGtS12XQ5iwp4FPmplkzAEJVguayFgcc9E35uz71x/OBx+USYY8dbTkm3sKc8nScS1IcbIuptMtHqKckkSJNwjY+b4xWIRz8/PxYdfXJwa3zM2q5w5v5/N4XCI8XhcesU8Pz+XwPCXX34pfTEZZ1sWPeNM29+sjnCgYnUC17Y6vFq1aj+24QdzyWDElwrjnMgFD1w5YmLKlpMjOVHN+8A8fgYPiKMYo/2ZsdHvIdbh+Ijm5mauXHGfSRICJsoiotF/Enyjd2dENHbIpGrGDe4hqJg7+oVZdeYNXo7Ht7Y2xEokfIgduCcSP+AM+GjCj/Yw9MIk0f8v//Iv0e/3G6WRVBD52UV8qQrzZ8EJl3NEGHEXKnIqXWpcU+1btboaOmOHY1NWG3Fy8s58IGnNoGLJsYHBrHvO0mNm6nEkPg9EFo6Oc/K3XIJJiSXljlwfAPD98d3A0+12YzQaFWdLEEJWfTwex3w+LwEIZZqApLPyLjV0/TgLcwDDpTa5NHOz2cTz83MhscjCoyZDLQDh5DmyNJqgcTQaNQgzauvv7+/LtQhO2iTg54x55DoQm8zt4+NjHA6HkuHhOdXyyGrVfg6zD7f6KZMZEScirK1MAcwBI7IP4VyQILmU0uWR+EYnfdyPKqK9UTvXN9nkUnGTRCbmjDsQTe77xd8gwWazWXQ6nUbD4ohm8go/78RS3jSAhAv+mE1ZeJ+bNvf7/dLofjAYNDaPIVhxcAnWu8Tl4uKibCuPAoKdjGlmnPthes1wzpjDPKcud7GaOweo1apV+7GNDU6IaXLMYl9AbIBlHw8BkxMq+JX83eew0jifg/U+JZgcb3/GGLxpmBXKjoEyfuZ79O7zHt9oNIrhcBiTyaSUMvKFQAHCh8SL+3lS6UJMA87gy4knIMGYT843n8+L8pkEfsRb3JNLJJk3cIZ5HwwGsV6vI+JNCHF7exvdbjd+//33WC6XZQxtJbHn4hs/ayfDrOzm87Xf70s8g3qtYk21b9UqEXbGcICuRY9oOnsvdnM9Osy9s9rZuXAOZ5u5NmUY3qmFv1Pu5z5bGYBoLEmfFEpLMDeoNCDQcBFQ4j4gnHBmnAsSbD6fl93OGIezDhA/ZCQ4D6AIyPz222/lvl9fX+Pz589xf3/fIAVRuDm4gDhzkNXv98vOkFyTnb+Ox2P86U9/Ks2DmePlchmDwSD+/Oc/l74y/M09AtqyYTm4JPtDLzAIsfF4HO/fvy87nD09PcV0Oo2Xl5cYDoexXq//MPipVq3a92/sfOuMsrPqLqu2etYElQkgE+8OdEzEu1Ql4rRTJFjjBbJ7leH3OBe4Axa4V5eVYZRqcE2wBkVwJrxovm/12cXFRcxms/LFe43DEHEmybz779XVVVHgMX/O0n/69CkWi0UJtMjIM1/MCQt7ng+7ik0mk0a/Hc9HRJQS/fv7+xIIDQaDgmc8CzdLZm5yEi0HeXxGfAzPCkx3Eookkls4VKtW7cc0lFas563OiohC+kecqjNyGWQWBuQEvsvy+HKj/IgoSierhIi18E/GFsc3lGniG+3jMF6jNJ24x0o4zJtX+b2z2SxGo1HZ9dFJJScTmFdIMhTOKMLAOl7Ht9/d3ZUkuMsZwVUwzc3vwS+wxkSlhQK3t7clpgMz1ut1DAaDoj5GOUe5pz8PueTRP5vIMo5wb5RC+rMT8RYjZjFDtWrfklUi7IxZWYXjy5mGTqfTaLxoAoufyfg7I0BWAWcJaYPTZzHtjAnKMwMZwRIgwW5QXkjD1jvzQUYcR0zmAwLP90ypiLNJEafghkbvJohGo1HM5/OIOBFml5eXcX9/XwDDc0qg5pJBgNl9c7JiwfNyOBxKqSPEVa/Xi+vr67i/v4/j8RiPj4+FlFosFqXXGCWj3l0Tpdif//zniHhrOLlarYpDz0GIs2YEWBgBEcDDnM1ms+j1eqW3DPPpba2rVav24xqLfHwY5SL4dyvE8JvOrrKQ5/i2khU3wXcvEStlHXS49N2lKCzo3Y8lq40imuU0ZI25LtvEo9oFO8FAfL1LI+mtRT9Kk2SDwaA0BYaguri4iM+fPzd6wOS5QfUAHpC0QQEMNqNQsDKbsXkXShIcy+UyjsdjwYpO560XzXQ6LZuzUE7jnZMnk0nc3t4WLIqIRtbfeJAJMYg+/sb7rAC08o1n0+/3K9ZUq/YTGL44oqneNdmBr3FPY5co2u+wPuc7vgZSPxM7Tmo47nHlDH6asX4NZ3y+XFnjPpKOaSDPnIDhHhkzGOWNYcCmyWRS7pnrLRaL0j8ZHMtiCUQFkH1OgDvh4iSTk1tOxBCXkMCgd3K3243NZhPT6bT0QeOaxHDd7lu/sl9++SUOh0MRJnAdPgNWEme1IMbcokIjvvXz5pxgXLVq36pVIuyMAQ44JAcHNhbyLjkwMeQyE7aTjTjJZQEY79oFwWbgQDXgDLdLKK0CcG8WyDMWwaifIk7Bj8s8CEQo58B5u7EuwQl19BBtzAGNj8lMQL7d3NzE3d1dA3yc+XG/NTL3nJdx8BwMfjyniFPQx1hGo1FRWC2Xy0ad/+fPn0sjSxokE6QMBoP48OFDfPjwISIifvvtt0bg9kelkQQovgfG2ev1Sm81nhcLiel0Gnd3d3VHr2rVfgLLJYYRX5aDYF64cxz+kADBfRPxk3lLehbfZK/xSSbLCFC4jktquG5EM+liIu9wOBTfz7UcTIB54M3l5WXpgYKKmXP1+/1GXy4nnggMUAFg19fX8enTpxI8ZSIQshF8JmAieCC4sOoan864BoNBSaSQwacJ8Xq9js1mU5JD19fXRWEMCYY6ud/vx3w+j+vr6zgcDqV5PnObkywR0SDA+JnXja8R0VhX+HPn5tLVqlX7cc1EmJPW/JzLqL1mdYVHRDTUWFaykhiw3+G6VhSbOCHpHhFlzW4hgXEGci7HPd7ABNUzvtYqLUgl1LhUsHA/KK4QFFgJzY6W+H3u/eHhIQaDQQOP/MVckNAHZ8AAjstzarKy3++XJA/JH8hDdoQEl29ubooajGtst9siJLi+vi4xzX/8x3804lebE3C5osmJOSeliFPBIAtDKhFW7Vu2SoSdMXqSsOiHDHKPLVh4SJrJZFIIIveUwkFPJpMGuLhHiQ3AmE6nDWB5enqK7XZbmgV3Op14eHgojt9yXRxzxAlgILxwTre3tzEej2M2m8VqtSoZCsgyyLf9fh8fP34s5zWJR+abDIczBQQKzONf/vKXWC6XsVgsSlNIAqThcNgo38llnc4IYdwvO6/sdru4vr6O6+vrQuqxMw2KrMVi0QiOJpNJ43l1Op14fHyM5XJZ/n55eRl3d3cFQL0RAc+L71Z2AOJkzRjDcrksz4N7YAfJX3/9NT5+/FiyWNWqVftxjaBgOByW16yatQ/A/zhLjELW52PRjpGpz6Sby/3ADxavBCgsqik3xHfSo8ULfJcbos6F/Lq5uSnlg7QcQD1MQAPW/Pbbb+VeCSYuLi5KU3oIM653OBxKRp0A6C9/+Us8Pj7GYDCI7XZbShyHw2FRX4M3EafG/tw3KmgnXQg8Hh4e4unpKW5vb+Pm5qaQc9685unpKR4eHhpKcfAQ1VlElOQMSRCU01lpHvFl6WNEfEGMulSJz5Dnysc7KVatWrUf11jPsyshVRMkd1m75jJFK4BNQpFcwX+7HQlJA7+ODzPOkIhgh0HwCZzh+vhUlFxWqZFwJwa6vr4uCXruw8o3SjKfnp7i7u6u+H1wptPpNPocW03mKh3W7r/++ms8PDxEv9+P9Xpd8GU8HjfEDYgU3AIBAsqVQxCOu90uHh8fS8+w+Xze8OfMyXa7jfv7+8Z80ezfbWgWi0XBB3Dm8+fPZf4dW/mzwO9YW5sf+j/zOeM11inEdyT9q1X71qwSYWfseDhlJAaDQWO3DpMdEF2w3jixXOIREQ2HiFMne5+ztRFvtdXOVLscxKUbkDhkeNu2RIaMY1fG6XQas9ms7JplKS8gR9NinBykH9kI7tUlJQZLl2cS2ABYOGyIw6yK6HQ6pazRJaluSMmcErjg7Jln71YJ+UfpJSoz5tpKPZNTzA19AwC8iC8Bg3GaDKRHAUaQRPDDZ8DlQWTWKhFWrdqPbW6MDomFzyVjjj9xmSK+MCLKgtqqLZNe9k8u6+A83W63KJvcEwUiy/6UhBDnYUHvzLDJvfF4HNPpNKbTafGfHOfyyX6/XxRQEW++l0QIWEuZB0kX97yi7HAymZSEDAtwlMn06GorCSK5w+985/lYcU1g4bFDznE8gSbjXK/X5b3s4MYYKHFhbJPJpBB39Ng05kWcdsD0882KdebZveXyefi8ZUVAtWrVfhxzUgFCLOKk7sr9v9yWJeK08Uk+zuXvXvsSDxmHjDO5N5V7V0LOGR+4B/s4fDJqYTbuwtdznOMadoqEgFqv140ewhBuxDXEafh1N8pnTohhOp1OjMfjRkWMCcFOp1PGxrziu933zDhE0py1AbGd1w2MD5Ub73WLHV5br9dFmDCfz2MymcRqtWrgDN+9bvDfsjke9nG5vBPVd7Vq35pVIuyMHY6nXl4s+C1jNeEDEQYY0GvKgQnHUZJhIsylMDh/si3IdyHCWHhD0MD6U17ikg8bjohsyWw2i+l0WhoyujwRMmYymRRH1ul0YrFYxGKxiMfHx7J4prcWwQljJSCCIHPpDsEV9ezj8fiLOY2I0lcl4rSoJ3tCgEgAY9Dg3JBe+/2+ZL8ZH2CXe4oxVwQnlN1QymiizEEFhKgBhL+5uSblNmwv7DJXZ9Vo7FytWrUf11z65vJ5l81nv+heLwQN9p8uQ8HfmCDLPVgIJvDhEaeyE/eudNk8GMX5c68VzjkajWI8HsdkMim+0yV5BD8kfQhIwDH3XyFoQZnt0kGwEJwkQAEfCFDco8xz6s1qTBRxDPjKvD8+PhbMpEm+k2UkxcCg3W5X7plzEpiiNCN4BGe8prDlBJdf93d+5nm1JW4qEVat2o9vJsIghSjxZv0Z8eWO9fgfJ1v85T5d7p8LDuTWJ04aZCEBCl18u/srU14JluH3wCjUxvh5ksv4OuIfqmIcu0VE6SfJ2hycgSTjXBcXFw3ijHklvsB3T6fT1sQDIga33snmxPlqtWq0sDHeM8cQi/v9vuxITALEyS+IMNTh0+k0xuNxjEajeHh4KM/jHN7ws7/z+TC5mCtjwE7fV7Vq35JVIuyMIRHmnzpLgumhwiKz2+2WjDBEi+vQCTAoa3S5HItVGHTK9QAtyijdo4VApN/vFyIKUED1xbhdjonTns1mjd4oBC30WYGQYeyLxSJ+//33eHh4iMViUZwjKjHv0pWltr/88kupvSdzslwuSz8VZ7dx4K+vr/Ef//EfZcvg0Wj0RRNPnhMZmZeXl1itVuW+AQgILpdu7vf7WK1W5V4ZA4HTy8vbLmLL5bI8q1xGmkuXDAJWHBh084YGLpsFWKfTaby+vsZisfhHfLSrVav2jZizprnMDb+FX4Egc4mFd/YlwMDHUNZt5RZ+2dfB54FLYE1ENHZNZLENsXM8HkspCHgIPjkYQukEftH8nrIXMuWMbb1ex8PDQ9zd3ZUFOmTRbrcr/RzpJcmCv9frFULJPcPW63XJ9GNWY3FNsIIdx+zfIZLw12BNRBTsJnCzWtkqca4b8RbsjMfj0u/l4eGh4Dp4hyrB6jewJZc0+n74Oe+W5mfCeAmI3QO0WrVqP5blWAAMwG+aOHHynsQCRP/z83Ojly4tZFwRE3Fa87Ie9i6S4BgVJ4gMwBrOTWsTiC5vlpXVXqh+M87wHo4DqyLeNsBaLpeNmCZXudCM3krpbrcbt7e3RcXGdenVRdLGMQ3+drPZlJ2i+/1+wWTjMUmci4u3nR1pm2KccYIEzGBdQDuYiCixEf047+/v4+HhoawtaFuwXC4bSuuI5q6R/M73nEzh85VFH8wzMXO1at+iVSLsjHXi1HTWgQMLXTP6HJfrrHEMlELgkHHOnMeLbhw42RWCi/F4XM5NuQfEF2ADSYcyzGWV7jlCTy2XVrihMg4M4ITQA5wiTpkUnLMzBs4qIQ+GuCMoyqo597xhztnRC4Bk7L6enTXXiYgy56+vp15dr6+vRbJs4NjtduXenQVzCSM9bSaTSVxfX5f5yEDh35knPj8u/3SGnsUInzEUBmTBqlWr9mMafocyhrwotuFH/GXSH/xxsoQyFXyTmyBbEeBSEjedp4wdwoxxkKW3cg28IQGBv14sFrFerxvXIoBwtp9gC5WxM+/MjQMsl+hENBfqJvRoSm81gRfwJEZ4HhFR/C/moIYv5h6Siyx9xNu6gKQPY2I+eB5gDc9ut9uVQI5NALbbbUmycd/5M9GGO1yTe3CQanUypF61atV+XMPPEk+YVM9rUfvWXA5pVdbr62vx68QQVgI5QeEm8MYZrslOjcQ0EVHO6cbzeRwQSU9PT4XMwVe7dBKyj/dC6FH+aPIvJ9ozzrilADjW6XQaPcwoB2QMEVHwkedB033GH3Hy2Y4VmDOrnRnD4XAom8hgJMUyzoCBxhmSLvP5/It2AW0K42x+D8+X1x37MA/gzdfOWa3aP9sqEXbGcDJWakWciDDMgUVbw0H35/D7R6NRo+wCYgiHkQGKppQOSCKiOEEywM7s57IaVGqZ+UfSS2aj3+83eraQZfBuWl7wc1/OziAjRhLLmHgf2XtAid4BJhjJbHC/bGXvYNH19O515gagOOSXl5eShYdsZD54n8uRIAANGuPxON6/fx8PDw+NEiW+G1CxXMLCwsDjgwh7eXkpRJhJwWrVqv145kVyWym9LQchHJsJMgcg+GECDi/6TdywQUlElAW6s+wspPnZ/tzlNeCKccOLas5JEEQZOEri7XYbq9WqJBqcCLAiGnOJjIMmE2GUs+DTwQneb8W2e9s4aMRHm0Ry2ZAX/OAN/WB6vV7ZAMF9KXn2JIScWAGTUQ37/s/hjM0BCs+f83rOIDWrVav245p7CoMRJsLAjBz3uNTeCZeIZu8tEx8Rp35eJPa9rmft7h3laaJvnImI4svBI48NAomYxHEZcRKkGnES8VqOabK4wQkGV+ZwvyZ2MHptgRckNLDj8ViSJryPJLsJJBNhJrxI1oAzjg2t2kb97DlkTtraLAyHw7i5uWmo+fK6og1rPD/Ml/+WiTBaMVg5Vq3at2B1BXTGjnEiNvKuXCycaeiL6gjnYRBxDxgcpBvZ8zqZdAKS/X5fmgvDolMK+e7du+Jk2D738fExVqtVKRfJvbXstMkKQL7h3CmzvL6+LvXoHOusPFJXtrUHXCjFyJlxZz7I6rsRMIGTSzgI4HIDfnqn4UzZncxAxe+M18DJ+2nEv9vtys6Xz8/PZZt7GnAC/ARC9B9z/x2XHGFWxTl4ctNNg6iDnOl0GhER8/m87CBWrVq1H9NctmLVE/4MPCDjHBGNIIUvJynI+tK3wyQ/C177c2MNWNHv9+Pm5qYkZuhZuVgsSonHfr9vqGgjTkQ/5A5Zd28I0u/34/b2tmxCQrN7dgyzEtm9Zujl5bI/G2N1OYsDAOYXPIKUyooql9NwX6iZ8+YyVkFQttLpdMpmMOPxuGDNer0uY2CHMwLBXObJV8YzYwufH//O8zaBl0tXIk7KhuPxGLPZrKxlqlWr9mMZ/+f2VVkhir/ebDYNUsRf+GXOGXHqqWsFKn7c53h6emqQNm7vMp/Py3uHw2FZl1OyboWuk8dgHFhEzBIRhQi7ubkpm7VQHePdIOl1bF9LkgecYe7wnyRMjNuZqMP/um9kTuJwTeOP4wuTYn52nAdcvrq6iul0Go+PjwVniDNvb29L37TxeFziPuzy8jI+fPhQcAeikLWD49RciQPOmLQDa3JS7+rqKmaz2RfN/qtV+++2SoSds/8ktNxrCsPZmck3uPD3zJKbmImIBttvEg1jt8Nc1uDsOn28UA/hJHlvRDRq5VkMM347csgsyjX6/X7J1Ds4y4tlVF+UaULs4VCPmks3ysQg25gPAg2XodjcWyATYA5sIDHdFwHgoSyHe4Wc2+/3MZvN4urqKq6vrwugdzqdsjFBzug7w8a1z5kXE84sOThlDqbTaSyXy0qEVav2g5r9sQkgl1g4Q+vyjVwOGRENP+LFKItpL06dpHHW3dlo/+xG/r42PpFjXPpvv+/AiKQE4/C29vhAFvtch8AJpRX3go8Ga8AXNmrBfzJW4xEBT1Y0RJxKB/27d15z6STKMIgsFv4omsEagqRe720XThI5JD+4B/fB4b6Zj1yyYozM6w0bz5HXrT67uroqCu1q1ar9WAYZg99zK5Y2cswVLVYbRzR7ROWYJqKpQMWX8bP7QtrvWr2KaohkitVrxiMINZNPObZAXMAcgGG5zxh/BytNiDF244xLRlGVWRnsxBRjMF4wd8wnyjXjrvHGZFRun8AYadhPGf7h8NZyBgJyOBzGdDot9+gkPnNP707fC5ZJsJyIcbybsZTPH2OsVu1bskqEnTGTRWSqI07OwM4o4ktAMCnl4ITFu0sgySJbMYR58WqHzt/IpHv3JwIeFrg0woft9/hN4rjZ79PTUylZyQt8BxIQYMPhMGazWbn258+fG41+ydq4X4vnzvc9Go0iIhq7q9jJUvKSSw4dLHBelAgRJ+LRAV9EMzDb7XbR6/ViOBzGhw8f4uHhoZQTobrj3N7wwGDdBu58DpwhIfgEnP1MLi4u4ubmJn777be/5eNarVq179Dwe7mHI4t0ByKYy1QcrOBjslosl8BwDrCCcbjckS98UcRph0dUzSy2I049T6wsYxwOHiJOWMl5KFV3cEF22mNFgcwOYRFvOPb7778X0ou5s+I5l4MyDnAB5VVb0oVMOvfv4M1EIfeKytkYY6zBx1OuSUA3n8/LesHtC3gOKOG4VluA0hZYZtVHWwkRGPS1BE61atW+X0NR5d0fnchvwxmTYybN7EOsZiauMc5w7YgosQ4ET0RT9cwx9AN29Q3xB2QNyXernJ1I8fjZERL1su/LKjbO45hmMpkUMuv+/r40z2f+UJOhQM7XBlMgAYnhsq91H0+wyDGC4yBiBY4Bky0EIHYFZ4gFKYFkzHxn/eCkDfdhc3zD707EmSSzOMDnr0RYtW/NKhF2xl5eXsrW7SaBTG6gTCJ7sVgsGsFIzijjFF5eXmK9Xpcdt3DoAEVEFIeIY3PZCo6ZhvCr1SoeHh5K2cXxeCyS436/3+iL9fj4WIIFOzuy+JyPnUqsoCJYMYHz4cOHsgXvcDiMp6enWK1WJVNCjxjGy44w9N5yU2CcOzuq0Ftlt9s1tgyOiMb28jhcO3BLs7lHAIxeCYDZer2OiLeA6Pfff49+vx/T6TRms1m53vPzc1G80QcgIuL9+/exXC5LXxsvFjDPs0tGPW6TZdznzc1N9Pv9svNotWrVfiyDrKGUIZeveUHsMg0IFZMgNCvmfRFRggMWyS7FwB/lkg0TPCbTXl7edkqk+b2zzvhydqnq9/uNrecZt0mkl5eXWC6XsVwuG6WAJG8Oh1OfyF6vV7CGksPdbheLxaIQUOv1uiQ+vOMivbe4rpUP3C8KrUzwQUKBvS7/jDj5casewBrmlP6XbjPQ6XQK1ozH43INcMkbvDC/7O7V6XQaO1pny0SXPyMEnVZUo1CrRFi1aj+muUchviji5BOMM1SZWDWG4YszwU7S2SWP+C2SHlY65coPYiYwcL1eF5whmU48Q9KF2AmcaWsrcA5nINTAVGPY7e1twZl+v192mAdLHY/QIof+lp5Hq848poj4grSLiNKOhfkF3/HLFiRwDq8B2FAN/OFvnz9/LiX6KLYh7mjFs91uC+a8f/8+er1emX9wxiQXBFhWF3NcrnIxyUjc7F2cq1X777RKhH3FnA1xDzCcnRe4ECwRURaWdswRTdBxwMJrzoJHnBbo3vGERb4X4DQWzmb1E+SSM9wEJyZjIk4qBYKvq6uroijrdE7bJQ8Gg3j37l1pfhwRJUsC4WWQIjDhy1Jh3yNjMnD6mTw/P5fMClsQO8PDcSaanEGxMoDzdTqdAmYPDw9xOBwKcDggA9iZXwK30WhUnrcBzAsF34uVGz4ff7+4uCi9yryjW7Vq1X4sy/4IaysXwZeCE/ggJ2z8Xvwd/gg8yLjjkoyIKFiDsbimwXAbWWeijQTQ6+tr8dFWj0GyWSXr3SQZk7eaN9aQ8EFlvN1uyxcqMLCHxsEo3nKignswLjow430OUNp6wnj+fR73ueTYbrdbensej28NpcHbzWZTzuHPA/PK/VvBYcIL+6PMuxUFfKbymqVatWo/hkFcOCnBWpXfSUAQA7jViNe2Vpjy9xwfZXyxask4g49mjI4VsvLV58Afssa3L4Zoc3LZsQ5+lHGMx+OCM7e3twVnXFXimMa9xqxGjmgqp62es7DAggkntnwvVnznMlUTT7mMlZiG40heMTbunZgmq4whQxE2OHGUVdP+LHhN0Fa2jzGGSoRV+1asEmHnrNMMJiJOQGICBEdJA3k3dIyIIkvNhE5bJjeiCTxeHLuu3Vupb7fbWK/XZdtg+reYALPj5x4uLy9L+YXNTeu59mQyifl8XqTFEW9Z7vF4HB8+fCiKNiTIHhM/kwEB3AAt5qHf7xcAxqmTWSFTzj0zDtQHyH+zAozAA/LP5Bp/M4BFRFGHvby8xC+//FIa/d/f3xfAcUkRiwcyT97FxsRbJsYAF95jkOfz5VKjNqKzWrVq37e1kRW51MALftS8LPJdluJG7fj+rEzNyQV+dgN4+rrkAMWkk8fO4t7fKWPkOAgql0o4gUHwMBqNYjqdlgRMRJRF+S+//FKucXd3VzL1i8WiqHJREBC8uDT0cDgU5RX35EAuZ7rBI8ppyPK7NQDH8xxyqU9useB7Xq/X5dz0pcylSVaWEdxFnBQFTqI44MhJFwdO+fNH2QwYzPOtVq3aj2Hu24XhFyG+8a0Q9bvdrpVMcm9Jr1kjooE/rIGJaUxikchxmSa+1IQT72vbPASccdUNPtGtVPyaK1wmk0lpCRBxwpn379+XmGaxWJTyx+VyWeIaSgoZq9vSHI/Holxjnh0PuITRyS/uh3gPXGFenSzjHMa2nHCBXFuv1/Hw8BDH49umKFS2ZLWZx4qCjJ7OTorlZJtJUM6Rz49x7tosv9q3ZJUIO2MmonBiXtDibNzwfDAYNGrw7cQiTk6ArDdqHwIRHD3XIBBxloXzcU6UWrnB4eFwKKCWdxAZjUZll6r9fh/L5bI4vE7ntAtJr9eL6+vrmM1mMZ1Oi0x2Op3GcDgsirj1eh2bzSbu7+/j8fExPn36FL/99lt5nV1ocl81ylQ2m00pvZxMJiWA4z0AkTMmLNatwlsulyUw8K6ZADU7RnpnlNyL4NOnT4VM3Gw25fhffvklfv/997JIYFyr1aoBcA5AnOnxDjcYC4DValW2dx6NRg0V4u3tbTw9PcXj4+M/7LNerVq1/x7z4twkjHuQRJzUQCRgyNTS/yri1PzeiRp8HmUXLsVHaeqMs4kXxuRzkiVHlQzJQkIIH3xxcdEoZQRflstlI6NOwECPydls1sAAcIFkxnq9jtVqFX/961/j7u4uPn78GB8/fiw7OOcelGAnWIjCi3uxEhl8J7CJOCl5TZr5/iOioRbPzaAhKGkLYEy4v78vymqCzn6/H9fX1/Hw8FCSUnwnMGQsWXGQy/JdmuLjHHgRvFACWomwatV+TMskTMRpDYqfQRlqBa19Ir7E5wNTwBn8NTEESWIrZ50stjqZGCkiSuLayYyIKK0EIJ5QcKFgQqXl/sBg3mAwiOl0GtPpNMbjccE4Ejcktamy+fTpU9zf38enT5/i06dPsVqtYrValdYreVd7t7gBg+nviL9FWU3LE1fAcI6IKL7Yf2d9AM444eWYBsKS3mZgP4INdtNkPHx3KwNiYCukeS4munKJPhjnNgIWEYAz9/f3/7DPerVq/xWrRNhZa9ZDO9Pr5uvOiuOYKFfEqXvRimPEOQImOGFKI1icO6PvcjreRxkJIONaeZwzjq/T6ZRdQ8iidLvdEqRENHcAcQYCJ8tulBxPb6zlchn39/exXC5LvzI3yzcBxnV9X1aG8Tdq8d2rAAcNmDIenKwBlzl3UOPGzwCGS2I8fy5DmkwmBVy5Ptkgnr1VHHzPpZDl05WCXq6TFw2TyaT0KstzWK1atR/Dcgk1Psvldix4wRQCAStkI06N2sETFsEcg8rUvUKscsWP5RJw1LnuZeVyDCuj2HU3IhqBgAkhL6zt362U7Xa7BW93u13Bl48fP8bj4+NZrGlTXDs7DRFIcIHSzuXtPA8TZO7x4t5pfobckwlFK6F9XhOeBFGj0agEYg5ofP2MJfnZteFtG374OYCJ1apV+/EsE+cRJ5/opL2JMPsx95rkXCQU+CJZQ7If3MHvW0XrcTi+QrHEGt/JGvy7SbvpdFquzZrbm6S4bxjY4FgK7DORRNn658+fY7FYxOPjYwNnfO62dgYWPzAnzCEllZBFxCUZZ5wEceyS4wxwg3N4PK58Ia7gGY7H41iv141eyxZEtMUxjg+/Zpksy3EO2HsOq6tV+2daJcLOWCea2wRHnP75YdBh/C3dpfzi8fGxlM2ZCKMBIzsjolQaj8cxnU5jNBrFYrEozRlxKCZpIqI4k+vr6+IAKQshW3E8HmO5XBZAen5+LmUnZEEuLi6K0stOFOAByDqdTiwWi1gsFjEajYpT/v333wtQPD4+Fkkz0mGrGnKpDvfv1+yUfQ47dwcfOTiw03dZ6MvLSykFhczK54049dQBFCGn5vN5eb9Bk5JUAioTa24EyrhZCDjrYzBmrGRobm5uihQ6Z16qVav2Y1guM8CcdHHiBKzp9XolszwcDhsBCsre8XhcFuMor9hAhVJHghT3IbEaLeKtHD4iGv2/tttt8aHr9bpsmtLtdov62CX6Lj1nUQ6+of7qdrulzBGlwPF4jLu7u7i/v4/ff/897u7uCs7gl/H7nr9csuOfwTVIJt7fRlgRXDlwNB47yIS8YkdMl5o6mcM8EBjRC246nZakC8EQTZqZj9y3hTFwfeYsl0v679wHv9OHrlq1aj+WnUvOYiSFXdEA3kBaoLZFNYUaDCXYeDxuqMQmk0mJd9pwJuLUIoRxgVusm/FjufUJyZ2IKESYk0SoWt2Xkfvd7/eN2Ic1PF/EM2ANOINPNokV0eyT5lJR5s8KN6pwcuzhGMAxTVv/Y6uwwCDWCfv9voEzXBccoecmBKKT+8Q0m82mEbvkz4zXKI5JrBDjb7wOznS73ZhOpxHxFuuRFKtW7b/TKhF2xo5xkg17YWlH4C3hUVmxYMapdzpvzeWR5LKQ9Q5fkDWQMGTsKY9wTfjV1VUJPo7Htx0ecV5WXjlTj4OaTCbFua1WqyI79kKbEsSItwaSBoHlctlwnBERnz59avyNeZhOp+W87BICGDE33LsB8+rqqmRBWLi7tDDXnNsg0VBU5L5klv9SHgmhCciaTHMde6fTifF4XMp5Hh8fy3l5zu6n4x1xDOA8c2dHeO4Rp3JRVArX19fx8vIS0+k0lstlzdhXq/YDWV6sWoXr0hD3pIo4lX6TbGGxORwO4/LyspQXWg1MqSF+lmBgOBwWf+aggRJ0JzMo0bNyKgcFHjNl7e6h6J2DI6JkpwlI3IsF3/j6+hofP36M5XJZsvMEDgRmJs0cZLiBP20BKJVxUMazcDDo5I3JNCcmOIexJiIaAUp+fg5kwO/X19eiFh8MBqX/5eFwaJyX1/w748uJJtYuVki7DyVYC1mJksMlt9WqVfu+jSoS/JUVUS5vt2IoIhp9j6k+IaHC7upUcUBM8TPvvbi4KD53sVg0ejeS0IHAIQHu+MqxTFYQGYMgkGgpQ/kh1Tn4Pfe6RHnr6h+S+w8PD7FcLguBQ4Inq5zwsU68I2pgDozpVqll0oxxYv7ZimuXybuckd8zKQU+ca+HwyFGo1EjpuF1J/Q911btmQDLP0c0N4Hz585l+WwwVnGm2n+3VSLsjHXi9I9vRxPx5U4qODcWzWRE+OdHNowKDMPpuMTSDpIFb8Rpu/bj8VhILwgXFtPOEON87LhMIrm80Fl9l4x4IY7Syw0s7YQNCAChiSsUWDh+5pZyHeYUAoqsSS51cfbb82Jnmkt1sqMFSJypxyxJ9jbJACJ9D7h+Djx8rQwizuRwrAMaAJEgC0J1MBiU0sxKhFWr9mOZ/WFWZWVcQJ1kJTKLWLCGLD3JFS+m7ZMJgNy/BMO3Q9CYxLFPblNa8TPnYfxkpL0Y5gu8QJ3FRiveQYvyGoImroNCjYAoj437A9tMlhnbwQzPE8/lXHmIccZKZft1sMaZeiu7uGfGg4rM/Uk5J7j7RyUlVn8ZbxzI8WUsQ+Xu9U61atW+f+N/3clyxwZOyOI78Jes0zmWmMYqXt6ffaVLEy0QsLiA5ArkGP7SyYkc19iXYU5KZJwhKcQcuCm/25ug2nIyABEC92TFNOMBX9joxXiZ27bkZ5KVZDwD+36u65+5PmMk8e5SV+MMceLLy0tD4W3CMydrjImMKRNtPj6vB4hvMwk4GAxitVr91z7E1ar9A6wSYWcsL7Dd44NsB04App1Mu8tRnp6eSpYXwMhSXzvz3W7XyNhGvDmgyWQSEW+OHrkuJZow+QYNN19uAwyUZfv9Ph4eHgqR1+v1YjabNcpsGBdZFHa6shqOjBPz5l3IcP44Rcbh3Sxx1JS58DPEGIFYzmgzllwW6bJSO2eCDqsW+J3xEnQtl8t4fX0tRN3t7W3pieD787zmwANjAcBccG0vPgymjLPTeSthff/+fTw8PNTdI6tV+4EMv+xEB2QRSh2T42TKwRnK6vEZ4AzKMBbBmdTgOlyfY/E/+NKHh4dGT5SsjDbOZN/vhTBqKXYWxndTomlM2Ww2pR8Lzfnt15mXiFNwhR/lOONExAlrHGQRMDhAMBnGc8l+2QkMByY5OHHQQ4BCIsMBzn6/L+0JwCVUbjwX7jVfA9zmXJ4TKz1MqjrhwsYwVmrTVLlatWo/hrF2xldERMPnGWMiThULYAwKHmIaFGHGGZPnVgDZ91ghBbH2/PxcdmdkTPZ1HjfjA2cgsDiGEnmazOP3J5NJGSvnQTW23+/LDsfMBwlwxzTe1MaJIScUjMsRUdRpzA1JnBwbMC/cF/PnZvxWOfN+4h4ryB2bmTx8fn6O5XJZ5q/T6cRwOGxsrOPPh6/DufwMIk7q5Eya5WRLVsWhAq8N86t9C1aJsDN2jGNMJpOyoJ3NZrHb7cqCFcdrOSq9udgJywtzsg9ZBUQpZVvfKhwksuLNZhOr1aoQapTu4dC63W4Joig1pGzGPWNwukiZ3717F9vtNg6Ht+bs7Pa1WCwKsBwOh+I82R3Ti3qTdgQpgCkOlqAm4pSl6XQ6hdTLIOqM1Ha7LYTiZDIp76HBb86EAGzH47HsUsJuM4AHYybTkwOq3377rdw3z5ksCgZxZuP8bQQk85V7hPH99fW1AdaQdP/2b/8Wf/3rX2O9Xn9xvWrVqn2fBqnFDrwECCh1nYG14omSfe86jGVCJ6LZv4MFdl64kpSIOC3gWZR70W/12PPzc8EVdu4aDAZl90fKL8Eb2gOQkaaPmLPzBBmQUA4CcjDnrDSkEAQPxu9gprE34rQ7GbgaEUX56+eSs9o8G1+LZIfLVyD+soqB87ErMNd4fn6Om5ubL4ISxurnxvmxnJjJrxljuW+wk7kajUYlYKpWrdr3b5Q8sgYnTqHywT4RfLBSy4kSCDMnnu2H7bO9kz3+xgpg1vHZ/xpniDMg4rz5C7sS817wajqdlnL84XAYNzc3MRwOG+1SwBnuKRM1OdnNPUMcgplOCjEOcMzYyXnBxIgToTcej78guozjkHqcy21tWCc45rAKPOJUGgnOXFy8bep2e3vbSF75+YJHVj1jGcd4ZrlCxsczDj/PHEtWq/bfYZUIO2eqOuh0TtvI4kCddcUsO41o7lLoDLGDj4imk3A/KxM0LteLOPU9odyQbDXOChkwzfFh/ckAOMvgLL/7vTjL7VJNK5qYi9wI36UwubTE8xpxkg5blebzWaZNxgUS0BkTPwsHETw7zFkwsjjcd1Zs8R2VQs6QADqWdFu6nGv8s0ItS9FzAIuicDabFYK1EmHVqv045pI1L+bxPZgDDZfZ+XWTO7ms5JxfxXfhx/GlBDgswPH1ubcWAcBkMimNix2cgJlZpevxm2Cy/3PGOxNPTkJlFbCx2Qo2z0tWrnHvzIfLBK2sciKrjQgzzlkxxrE8U6slHJhdXl7Gdrtt9LzkWlheO/yR5TUHY2szFNB5fVOtWrXv0zKB7rjEa0r8PGYFLMc7uWvyJeKENVYK53J1rmMyjTFZXew4JSIKgTaZTEryxZU2YIyTPPm+8f85DuM6rl6xX0dBltvkWPUU8aVSi3G34QzxAeIEJ/Md0zAfVj9zjk7n1Js440yOKZxw73a7pf2A47t8P5w3J1c8L8zDHxnn5foo9OhVWa3af5dVIuyMHSOKvDYiSua93+83wIEFLJJhS22RDrcRHwaM6XRaFtrsomG5L6V66/U6VqtVIYRg0+1gTPAgCb69vW2QYd1ut7Hb1na7jfV6XYi2i4uL8jfu0wt4SmXIrERE2emFcyyXyyI9JgsEIZWDA0ugyRIQbEG+uRwSYImIhsLLgOnSD8uyKXd8fn5uBDs8N8pxyESZCLu7u4vRaFTOT1CYgxGTYF4weEER0dz+OKK5gyRzs91uo9PpxJ///OeisAD4qlWr9v2bF80RJ9UTmWP7hYhmNtiKW7LsVmwZR3q9XtnZKyIam4HYWOyjLiaLnQMkJ4R6vbddqH755ZdSNkMgsV6vS3kIDYopee90OqXEn74sEc3SGvCG66FqoCUBvptyPsbkHi4kihywoZBwwMOin7+TjIqIBh4wty6pd3B5cXFR1BQu1XTvUHYvcxIKhfRyuWwQUjnYRO1gMs0JNcbh+8qEWlZqcO8EmHwGqlWr9n2bKx38msuvM9GPOhX8yTjjhErEicjCR7vvL+tZr/1RZ6Gewj86MZRx5urqKmazWdze3hZ8JFEDDhDT0FqFGAm8ayPLjHn4YTYHAKvALnCGe81JdvtXsNE4Y7UV5zDOsGmNYxpwwEIB4jIqkVD98Zx4v8UbESfs3m63sVgsitLO5aZgghP14GcbfmDnEi4WAPCs+SwRf1Wr9t9llQg7Z/9ZlmYnxz8yTofFN4tHFsks2tk+HaewXq+LA6AvFqABIeSMS1YUUSZph0UjXsbH+XDulJsAOKvVqjhQFtqUP3obdxwTBI53DxuPxxHRVCBYXgxxRNNJZ0mcSSEjD5C5/t4Lc4IkZztub2/j119/jdVqFev1OjabTSkPurg4NfonsPActpWOGHggEX0+moOy++fT01P0er349OlTg+xyMMQz8ILhHGnGe1mosGhhTiMirq+vY7lcxmKx+C99lKtVq/ZtmtVXmJXALJq9iy2kjssVIHtcbudG9CyQR6NRI6lgNZZ9k9+Hb/bCHN/sMm6CBRIkEPqokyOiEFfcy/F4LE3xwYvlclkwKauXmReXFhL8eNMWz4sJKyvf2CGZ18Bc5hsibD6fx+XlZcGZ9XrdwCw3tXePG5JODuz8zJ3wckBKooV5I5B7fHwsz4dz+j6t2vgjy8QYz9OqRLa3r1at2vdtkBhuZ4Ly2OtTkg4RUcgWCCt8DP7ycHgrnWQdj4IVv+VEcE4AW63ssrxer1diBsdD7tcMYcV3BAsuiSfucYk6mEisQ/L/cDiUFisuj8S/46/BGcaXscaVMU6OEMO4tNHv73Te2s3M5/O4urqK5XJZdru0T/YGZCalmHeTXRHNZFKeR97H3I/H47i5uSnnIe7zuoRz8nn6muUkjH/m+T8/P8fV1VWMRqMGtlWr9s+2SoSdsWMcG6QN9rUaaEtPMWrxI6LsAohD8qITIyNSxvGfzoz3mFjLJYEmisz+Q+jRbP14PMZ4PC5Oz1sXM2aXg+SsPEGRFWEQcM5aWOnk0hWONwgT8HBdAMjZeo/v6uoqptNpRERRFhhMUahFnHbt6nQ6RalgtUAGC2fJ/QXxR0D59PQUDw8PX4CFn51BP39+HIRa9eHSH0u2R6NRTCaTAqzVqlX7vs2q2IhmkPC1cgP7C3wXvsPnw19Z/YoPInljYobkC0QYY2w7LiK+wJrNZhMRb0kfMuv0PyEpAY5AHHHPYETeNRhccBDnQIPgxnjlEsu2JBM+G9zOyl6XlIAnTk4YH4w1xjjmmnngvDw/fne5kgMf5hf1N/0h23x/22sZJ3JiDTLMChBe5/NSrVq1798gSXJpYy6Dy5bVqvhFkzqOY1j/G2dy4sakO8fmcnGrtc7FNMfjMZbLZSG6qMKJiEJacS2rwDKmuAWKE07cl2MLvvLmLRGnFjbGXK5tzMtqKb6DM8w390hShD7QEadqJa7FdXzuvKZgXtv6VZLsR2hh0YKTOG32tXgkf96yCs+fFcdJ1ar9M62udM6YMwyWtJLhjjg5SktN2V2RjDCsO18s3mnCCzkTcQpuIKZcf++titlRC0lsNs6Hg4IA+1//63+V87Cwf3p6isViUUim8XjcyOTgNAkCLA8m6AEc3r9/H5eXl/Hu3bs4Ho+xWq2i2+3Gw8NDI7DAMbpUhe8AGA4fSTElJADE4XAomwGQ3eE4mjUzp1YgTKfTkslCtWBwpsQ1IkpPNZOcjAEiDhDf7XaNhYaDRYNNlpMDOH6Obijd7b71j1mv1zGbzYpi71xAVK1ate/HnE3OGeQ2xZBVxyiw8E9k4q1UInnCz5R7RDT7pdgHUtLf6/UKdqAIzpl6Z6mfn5/j999/LwkCCJzhcFiy6KvVqvg62gaALSzswUD6l1ilwFxNp9Po9d52OEY5xnki4ouFfMSXxCL347Ib98ZCBQDmz+fz0qKAe0chzDWtTBuNRo0S1rbgwgkZlxz5GZEcA6dzc+q2+zSutpWu8DPBmvvetJXCVqtW7fs1k/1WLGUlqHHGalsqX3q9XkPx5eQwa2XjTC6FtFiACgtaljgBYjPOsC6+u7uL/X4fd3d3hcShGT5rfpISTuj4fq0uM6YSl1g9PJlM4vn5uZBEKOS8u6SrY1DTdTqdRrllRBSMZkzgHThze3tb4snj8VhUU8YZE3kkmohniCdMIvJ31gYY+Pv6+lr6rw0Ggy9UgDmRk5+PBQQ+N589k2vGeNTvKPIqGVbtv8MqEXbO/vP/2U4lIhoLW2cF6G8CeWFFFMBBf6nLy8vi1DADFE404rRYZzcu9xjZbrcNNRkBQW6yDzl3OBwKMecdLCNOZBbvQb1mYMOxrlarhrQ24lTKh1McDocFkAwKmLPTOGcvyBkX2afZbFYaFx+Pb2WrDw8PpXTEcl4cLcA0Ho/j8vKy7IJmh+wvl/3wLAEnnidgDkF6c3PTINZc8sK5fH+eb4MSnzOeNffOvD48PMRkMonr6+sYDodnSdBq1ap9P2aiwsRURFP15S/3aHQyAZ8KAUX/jclkUvyXlT/5mlyXAGU8HhcfuNvtSrBkH5bJI5fi42sXi0X5OwGBj8+KrH6/X/zsZrNpqK/y3HU6nZLU2e12jSbCtkwSOYGVFXgkX3gd8ovXwEd8Pf1wut1uYwdM8Jx5t0oP305Qxe++T6vWeI5gf1ZXZyz3c+K+MsHGvfM5I+FHpp5dmmuAUq3a923gjP//8SH4wayOop0K/smqLNq7sHvj1dVV6T+JYta+1kQJ62wa3uN3VqtVa99KYiavl12hAknmpvE5wQQR5PU+CQZIGY7PJYwkaFBrkXzK6l3PNQSUVXQYMRXtcYyxy+Wy+FziSv4OLlF9w5xasebruKzTcawVvx4bJOj19XXBOMcYbWSYcQYhAGb1uDGQa+52u1KhQ9/PijPV/jusEmHn7D/X0Tga9+Iw6cI/es78GgAiTmRPW8kBBFJENAg2Z+pztpam9g6i8nVw+G1M/Wq1ashUTciQOcjSWTJFgF1EFNLmcDg0SnC8I5fLWPJYynSnDLaJMH5m3ggaADb/7mDOjtkZG88R52WucdDME4EbQRvHQ2qORqNYr9eNktYchOW5d2Di1x0A8xqv73a7snPkYDAo2Z9q1ap9v4aPtR/3/72VRMYZfB0kUps6yD7PyivMilgWyc4Ak1SB7HJG3+NH6WxChrG5PAXD97qkM5NqJoRcYuNAjGMI2ty3Ky+oHbAY17jniFP5kK+ZE0MOnJgLAhQTdfbtmcQzwUnW3WsKk5UEmQQLEKDZ9/9RaUlbeYsxJ79OQOg2AtWqVfs+zViAtSmCs/8+5/OziiyvZe0z2uKZiBNWZZwxjpjAs/rYfhv/SbKf13JiH5EC/tRYg7nXWcSpvJ2NvtxPMr/X5vkxAcRYjS9uheK+mI5pwBk3s+cart4xiQfegzPGFp69cQZyDdEFlTRteOr7bPvdlTH83vbZA2uurq4avZyrVftnWiXCzthF9+KLha0dSsSp9tr/1A4krO4iq2oJrh0YAIFE1sRWxGl3xMPhEOPxuBxLqQmOE8d2fX3daBxJ4352dSRLT3aBssuIKGUwFxcXMZvNYjQavc3Jf4KEt/udzWYN5ZgdoR0ovVQ8DxxnMs5ZCo5zM0wDVc4+GAhp9v/6+lrGyO/MK42jGd/z83Mp9zSgosTgmvQI6/f7MZvNSjD66dOnhuoB8+fCz9QglgNZjGu6jOf29rbskFOtWrXv1ygx8SIQXHEGty1IQQnLay6zsAKLBbwJGfAjJ1q63W5jt2TK+9iFi0RNRDTKNpzVx6/hj62OQm1GYME9kFQAa5zlJvAYj8eN+7DSgAU744Agc0CVFcDO1jPPlNm7gXPEKfmCoajudDpF9XxxcVF6b/IexuL+Lt5h2tjNWD2/BInMjxNy3oiGZ4fxecgJOZsDNb+Xuef5ogipVq3a92kot3LZIevbTIRZJcYXvrXT6ZRYKOOM/awVr8Yo8MEqY1rFUFnDtRkj5frEGCil2GQFjOJ8VkV3u93YbDYl4cLO9K7A4T3dbreBM94IhbW/hQGIJMAR45MxyvgCrkOCZRWwfe12uy2/gzOXl5cNnCHeAF/bYhrHMMYc5te9KCkDJe7g3rLijPd+zdqIMpdSQk6Ox+NYr9d/+we6WrW/o1Ui7Ix1L7ql5MLy0f1+31A5uRzOmV22iI94c2A4O4IAauhxhjhIiBgcjJ0xzp7dnHBSHOdyR8oaLi4uiox4uVwWgNntdiXDYDmwyT1A8vn5uajQtttt3N3dFbkrxBi7vdAzBWdM02QcKcDBji4Rp9JRyEZIH4JDgA8wZ6xkqy8uLmIymcRmsymLdpwqz4hGkKvV6ot5JVCk1xfvc6bGIOTgCrk0z4d7cAlQWxCS+xDkDBtj5HWCp8PhEO/evYvPnz/Her3+QyCqVq3at2tOKpjMijgphfEH3vIdH4RPAGsIWCjFp+8HPhoCyqomFsX2RxBC+D6XjjgQ6nQ6BdMIbjabTTw+PpbgCP8LHjlAcJNksMmlLMvlsvjXXB7jhv5cm3N4ntzHxb068dMR0fgZvMPX51IXgg3uz7tBOwjLWGIS0gkT/D6+fL/ftyrHKaVxso0kF9exubwHLMl/z4ptH9PpdBpNr6tVq/Z92tXVVfG/kOcmQ+xX3SLEyjCIe9bU7jtJQgRf541YIOytACJecFkiJeUm993rivK5brdbytUfHh7Kmp9dCL2uB0fsNxkXGIAwIOKkcI6IMlfgDO9lt0lwhvGCIcQW9ALLOG2Mc0yDn+U50aeTe1utVg0CjuqQXA6JH3dfZe6Na5AIA5cs5uBZkmwhZrMqOotE2hL4/rtxzj/zeTKBV63aP9sqEXbGcCTuxeEFsUvurOyJaJbzeTFMgIGDIjgx4eL3v76+NhaikEQsflGPYSbiqLWHICNAwSG/vLw0GlDyfgMVY/J4IMMACLJCODHG42CM4w20FxcXjW2afU0ct50r806WwyRRRBQwYY4IIj3nDkSyOTBzJt1zANC5bAk1BMFPWwDDedoIsUxkZaDw35lr+qVlVVy1atW+LzO5bt9irPHvVpDmkkbv6msVMAtZ+nE4GLAawFlpk1jeMj7i1AvEfhEDH8hCs0iHsMLayvIIFFAucG38MeO0zwM3wBp62pgIcybbgYKTFA4mwAGCGJfCHA6HohZz4ob5pLwnW050EAjlDLux1koDq/r8/W8lqbLCPN//uYSNy1GrVav2fZrX11Z/OdHK727V4oR4xCkp7RYpEFAotyLe/IZ9MP7MpLyJIQgrfDdj9lrbiQNimvV6XYgufCTv9fh5zckBzssGJ1SdeGdgzhFxSp6DM7mdgHc2dmsYG+cCN8GCrJRDpeW5cisY4pkce/KMIPFcZmrLyj+vJ4hLKZek96bjDX8+zn3eXAHD7znRwmvG1Lb4rFq1f6RVIuyMdTvd0ovJO5l4i15YdZygCSuABaeGk4E0mc/n8f79+5jNZjGZTIqjH41GhbBCOkw2hOzFp0+fCnigvrJDtPx1v9/H77//HovFIh4eHgoDz86R4/G4BEsulSTrQhDx8vISy+UyHh4evsjYeDHP9SLenP319XVcXl6W48jas+si8tuI5k6dXvgTEOKM2Z2T18fjcbkfAMMASiZlMpk05MTcn7P9JtEMUhFvRNRqtYrpdBqLxaKQioyHIJQAhTEAzgaRDBQRpybH5TP4n4EW5CRZuD/96U+NDQCqVav2fRoLzogoPheyB6wgEGHxbV9vNarLK0m09Pv92G638f79++h0OjGfzyPitFD37rlWolK699tvvzWwCYwwmcTfUQsvFouywyGZbUpb2JWY83jrdO4Tn0ofS8yL9ogoCmqCsvl8XhIfbqackzrMTy6VxPdauQwebDabWK1Wjea+VhuAkTyXwWBQxu3rGh9YN7jkhuNJZA2Hw/Lc23pDOrgDP31djjGh5/f6bwR13HvEW2nsw8PD3/6Brlat2jdnYEEm71F9QvyYJLOft3/OOLNarUqJ4u3tbUlMOBFBOxjW+mAHPvTz589lPU3LEl+fmIaxf/78OR4fH+P3338vY/UmL6ipOAc4g3+zmpdKGcblknrmiDL/i4uLmM/nJekOeZdLOY1TjMEkoBV4XI8WAqvVqsSZtMFxGwRiuIgosZuvyzWoIrFK2jgTEQ11GrEq+AOuuuonl9ZiFg20/c3xpQlGsGwymcRwOCxK9GrV/plWibBz1jllJEzg2MHxT8/ilsUvjXtzJhWweXp6Kg3WI6I4fmSwEEE4rePx2Cj7WK1WJeMPkOHoGQdOi4yJSz8sqx2Px2X7XRwu9+XMOjtNRkTc3t42ZNEEVfQYM7nl+3Dg4EU/ZE6n89ao0YESlmW9OcvhwJGt3/l6enoq5ToY88wcrNfrMn/MgXdN8fVYFFgmzX0iKyZAc9bfWR/u18GIs2dZrQBg+RrD4bASYdWqfcdmEoL/ffqf4AdcLom/gEDzpijOfrscw30Vp9Npo++JvzMGmuRC/rgMH/+a+6qANRzrwAKsoQeYVQb2r04U4Nem02m519FoVO4ZrM0KOjDIyiqXkjoQc2NhxgDe5sw984j6wSVAPCsCo+12G8vlslGiQ1uE8Xgcy+WyMec8Z+7H4zXBBiHG+Xz9NhU1ltVf+fOXzYktB0JtO7pVq1bt+zB8JD4Hkh8Mijgla1lrktBHgdTmp4gviGlIOhubvNbF77G+pjSR8xhn7GcjoiTkN5tNiYFMCg2HwxgOh2WHXe4VnwYeeOydzluvY+6XJDNrbe7XiQWPxyQYfttKZnCGeXDCwTgDZu12u9jv9yXxxFwwP8RM9s2cGxJyPB7HZrMpz9zJmKyKc9UP82+coczTanLMiSpX0bRhDa/7uZiA5T4rEVbtn22VCDtnx6aTyw0fnT0xweHsA//0lqi6xn632zUaWDpjkWW8EEjU0QMCZBG844oJI0t4eR0H3+/3v3CyJvtcDsPrnU6nqMhQjjkIyQqviKZTtCSY+cOpGzQBD4KETHy5LIg5cIllBhnmGwAj6GHbZ3qz8V4HURzPPWWZNp8BLx5c0uTAinOgFGuTTjvozQGO59qqg2rVqn1/5oW6M95W2nrBaj+Qy+O8WMdP4ce3220jmYF/sl/id3wlZY5k8unjwbX5gmBCgYV5NzB6t7DzcE4QuK8XGeput1saG+f+Yn9LBtoLfC/0mT83f/a5wB2+M++8lzHmREbEKWnBZi1+PhB4XuhbacG5c7mNS0YySYXawLiRgxOO5XvbnLnnGWsQP0fUBdWqVfv+LJdcG2eISZzgdRySm8ZHNP1UjmlMmuOb2nw2cRVYQ7KfuALyxZUZiBKcbCH+ASeIa3I8A85kZXCn0yk444b89q0ZK/kb95NJN+7f8QhmnCFGADdynMO8Q0j6Oqiws0r74uKilG/6OhYgcO/GNleyMGecl4qc/FnJZsWXLceCVoUxJxZTVKv2z7RKhJ2xl5eXWCwWsd/vG721IG5o1kjTezLpEVFK/uywvMhEjYQUFVKJ19xY1w5yu93Ger0uaqOIU0Pl8XgcESfyC8CwpHc0GhXAePfuXcmwc7/O/B8Ob7swWoWEk3337l1Mp9MYjUYlSELFgAEGmUCMOAVpNNKnLwzBDmNiXGSNCKQwxgnZN5/P4+LiogAoz4hzLBaLxtbJOHrvVMYW9c6K8DeuSYnpcDhsLBh8PNmcLCN3wNIWxDIf/N0bIjDu3W4Xk8kkrq+v4+PHj63AU61atW/fUOzyBfmEz8ev0tgWv4RfHQ6HDTVp2/fX17et5Y/HYykhp5kxlkkj1GA0zDc5xA6I2WeBRZSrgzXX19cF3yJOmGasIRniZsDd7tsOudPpNMbjcSMxZWLQ/cQYjwks/g4OsLB3Aov3sdC3msHBFM9iMpkUrOn3+w0ikJJNq5TBBfdKI3nlTHwOQMFvcCviRJ5yTmMiz8iYQLY9v24jMcX9umwH/K+Z+mrVvk+jTy/rcrfzwD/ynf5eHHs8HouSN6JZ8cGaF7/Bzo3D4bD4fJeMm+BnHOv1OtbrdfFpT09P5f3gjJVQ7qE1nU5L/PTu3bsYj8eN1jUuAwU38a+QLt1uN96/f1/K83LMZhwxgejekLyHWMQ4Q9yEvzbOQEA5GQN+PD09xXQ6jYhoqHLZtIC2LxFRiCow3fdGxY5ji4hTMuj19TVWq1UhIXOMFRFF0ezn76Qb38/1YeYz4nlgfKidrfSuVu2faZUIO2PHOJbFLVJVnAz17k9PT2VnECuUzH5nOTCGY3CWxI7KTDlg5B1HyNJOp9OYTCalgTrg5YbJBDMolXq9XinH5FoEIFZ+0Qi+1+s1pMYApQEB0o33s/sLx5tQQnXgeXIvAubSgZkzOXbyzBFZeECLnTn7/X4sFovWAACS8/HxsdEzIWfeI047yHAt19MD+NfX16WvjTNOlPlY8cB8ML8EThFRQDT3c+F5bTabGAwGpSdOHmu1atW+D8Pf09PKWGPCyGoc+0eXj7vsGv9iUoz35h0msx8FQ8AalFj0+JrNZjEcDiPipJpmm3cW9/Qocam+M+AECQQEBD29Xq8QbRBN9G1BEU3ZJvOQdyWzktdZ+oy/Jr9MHEKoMR4v3AnKnOAg8XJ1dVWSYVYCk6zp9Xol4PAxVptFnHDNx72+vjZKUkejUfm82PysbVas+7PEfebjXL7vPnbVqlX7/ow1pftaub8hOONG+SaDIqKsP+0vMPvPTKJZ1QoGcJ2cQOl2u6Vdy3Q6LaSWq0eslIbQoqTRyQL7PGIckg/gDNjGdcAZ8BjSCewBN/DJjtMcs+REhNVpuZQdYcQ5nDFxxz0QL7hqhgTW5eVlLJfLBknJOR0rkPygFQHPxjtZgvMINhiX75NxuzqorYoHQQbmUsqXl1OTfhJLbThWrdo/wioRds6Op3LATHL5Hzw7QpwNRAakTV5g8lquuffPLFqdred1l52QlSZ7QAADEcaYx+NxcVZm7nGGWY3F7+weYsPJOjihXxZEGOdwqYUX/m3kFEDNuD3/vJ9sPsazMLkWEaVE1b0H3ICfgIrdQRmvx+m+CoybXjG5HNbZJJfioDDzF0awhZn8s1mWjjoOMvOcTLlatWrftpk88pexx1npiKZ6yz6qrVwvBy+814ou4xB/N2lvVTBN76+vr8viG3Vv3sae9zo4yUkiFuNgjYkw7se4SnKKXSmtjuM+PV++Hy/cPfacdMFv5wSWfbI3VDEGmJCzz0bth8KLOWDOs/92EGCSLOKkDvCzZH7zsTYn3jIm5+NsVjZUnKlW7fsz+7qv4YvJLB8Xcb7HLeYYB3LH77XvcCzl80LCoCaeTqeNsnATUyTFIdBQEoNpxi/8OMeBM7yX90G0QYSdwxmXTDqpknEn44wxKMeQ/pm/eQdLJ8MdjzppjiCAShiei+fbBgFHzJjFCe63jPDha/0ivQ75I8sxIeNBkFGJsGr/LKtE2BlzIMCuh5a0ws6jdrLslTIW94mKeCuXwzlRz+5ySKS+XN9qH5fFuEG6gYqSRXbmWi6X8X/8H/9HRESR2UJUuZSRppQOogAnSDDUZs/Pz3F/f9/IdEc0t4fnvTkzZHmxQYOf3fuM9xFccS6CRubIwYnJNcZFg2YcuzMQ6/W6XM8NkA0ckIQR0ehjQwYJYH56eiplPHnHMFRi54g/7skZnrwo4Vz7/T7u7u7il19+iel0Wsozz+3mUq1atW/XMuHvQIP/e/DGhJnVTCac8MH4IMq9yZrjLx04cJwX+VYog3N8HwwG8ec//zkmk0kpj394eCg7WEHUO4nBwpmeJ1yT8ZIJ7vf7Zfffl5eXskuxVQQRX/Zl4WeXqxhrTHZBrrl/pvuyOegwsZTJKXCCZ4Aqgfl1ssmKObDeAUxbkAKW8jxcdkNPG9QBGaOMi5n05Hp8vpylz0EZbQsIUh0MVqtW7fswErgm4duUnzkxb6UTMYKT++BMt9stjerpFez4CbPvx08R0zgZQgL+w4cPZRfI19fXWC6X8e///u9FxURcRLzgeCmblVVsXAK2LBaLhvKLsWaiyyQh/pHEfcYbEuYuyyemMa44KZF/B8sQRbDxzGw2K/fkZDjlrl4zGGfsu620BpN4jbGOx+PSSsHj22w2jc9TJr+yQrBNRejx7Pf70oN0MBg0NiqrVu0fbZUI+wPDkbcRDQ4eWOCasMFhOgNNxoOyNgNPRJQsilVB7lfibYXdcwUnCRgh43WPEsgvnFzO/GM4au+acnFxUTIklFqyOAfAqM8nU0MJIc7ZZShkObh37tWkl8eHZaUWztcNhSNOyjKrGdjy3sEgCwBnRlySYoLQWTKDAM/q/v6+NNukR1iv1yu95gwMXItxGHTbVGHcD2DHwmEymTS2pa5Wrdr3ZVl9ZZ/DQtc9nOz7rFa134JYurq6ivl8XpIuEFp5AW2fiD/Eb6J28i6I7AI5mUxitVo1iCyrqqyQtRqL++Zv4CL39PLyUvqUWX3sXaxM/qFCxhdC4mVyMZM459QQjM9Yw9zmBT9EGAkV73IGIWdyLTcEzll0k1UQbnncJM8gPbmm+6c5gWKVBNfIysA8J4yfOaaUtRJh1ap9n2byO7dGyZtuWLVrf4JPsj9DvZUb3Pv9YALnZhzGJfAGn8e5R6NRbLfbRpWKk0LgTMaziGafZbDDyrX9fl+IMK/vwTR+JjFCSbqTLU6Y+7rMl2MaK8FMTHLfEGFOUHAe5tR4zn3kHUBNQDK2rODzufP7D4dDrNfr8mxIdFHibwUy77PCz7+b3POahXlw1c9gMCibl1Wr9s+wSoT9DeYAxUHK5eVlkdJCltk5OFuNE0aSO5/PyzH09DLhAnDglEx+cR4HJyxYAQk3yWcHFWcncg22A4WswuLvZNG3221DEYYzBvwYH2WJvi73YjUA89C2GM8qKsZkkHDGw4ovfqfx5mQyKZmbiFMwgcrBGSXu2YoFk1SAO+Tn4XCI5XJZnhPZDYAbkOUeHOTkjE3OphjoIT0513g8juVyWXrTVKtW7fuz7P9M6juYiGgvs89kVkQUv8bW8PhnFvUkXfD1fi/4QmYbUg2/y9/7/X5st9sGcfb8/NwoKckBihfaDgxQt0ZEwRr3nTwejyX5Q1NfFtj0UnGvm1xe0aZ2YBznSDBjMHOfs9vMERhM4Mb9kQQBD861S8iK7KzislKPzQXAf3BouVw2FMX58/G3lKxwz4zBwfPf8v5q1ap9m+b1dBu5n5P5ubl5mx9BpTSfz8u6HxLLhJv9rNfrYEmOaRgPMY37ZZmYcvsYk08YMQ33nkvcwRmXXOLH2QzNPc6InYhrzsUpmBP6+GYnKbKg4txzo3yx233ro8YmAVyDRJDjDpuFF8ytn6nLRzHmnDWAz22Ftueac/8RVmRCkGdmZWK1av8Mq0TYGTvGiaU2kZPJIctQcSK5ubFLV4bDYcxms/i3f/u3koFZLpeNa+MQWFxHRCFdkAlD7JDd4FgcobPhBBg4Sy/MKbfJpBjZX6S8qMEWi0VD4eVFsrPUfp37f3l5KePNJBJGk/22rDPHPj09NZylsxI4apwwNe2oFyhPZQesTqcTs9ksZrNZbLfb+PjxY0Ntx8+j0ShWq1VR1a3X67i4uCg7VXa73bJjzuFwiJubm9Jcej6fF8IzA6SfXUQ0glMHkFY4QLr1er24vb2N+/v7Rra/WrVq34c5U4z/9sYg+Dxn1fFJLI5NgFnlSsLlL3/5S2MHL1/bPoVAICJKQEIJHiXmqL4Yt6/PNQkuwEEHHjZnv7l3FMbr9TpWq1WDUANnIb6yCthKqrxIN4HHMW5+nIMZE3IOIHJyyoo0lND4/MFgEC8vb1vc//7779Htdstuv7vdLj5//lzIRifarq6uGv09XQ7JdV22SiuEiCi7iGVMd+DlOTHZlrHYCZvD4a2JMjtLV6tW7fszJ1VdLo4f9joSsol1qrEDPwphNJvN4tdffy0J4EwQ4avAGWMZ+MI6fTweF+VWRDTiMPwvfX3pT8zf2kq/TfiBWcQ1m80mlstlbDabgmUmhMAZCxWspMvJ7UwA5eoWm7EP8q2tSsjqMJIuzNv19XUjpuEZgkGUHLqqiWsMBoNGewBiXBrkR0RJuHDOiLd2M7THOVfm6Wef5yMnWHgdPGadwTOqVu0fbZUI+4qZCMoZbZwVTprtbh1YWJHlXQwhyygHwekCQgAUQQVjcDZ6NBrFbDb7okaenRO9kPaCNiIagRSZDRwYWX1UZhGnRr8sgh1AuBY/O66sMjgcDsWxRkQjM871vAsWgU4GnPw9Z88p7fF1AGt62jBO5o0s1Lt370oWBMk4z5sMS+61w/WQKzMu3judThu7wrUBpeXQzoYQmFgBR1YqIgoZ6udVrVq178PwBS6zsAo0l8mBSS61NnlBZp3FL36DrL0VWc5Qj8fjxm5iLm8g6eIdt1B9vb6+7VRFXxWXROTf7cfx01kNC4nmnZnxj1ZLg4f5PjhPVnjhp43b7rVpUq2NQLLl7L2fIXjPzme53AT1eLfbLbsMExw6YeaelW1Yw3N26SykGJjWllDKpGH+HHId3xvvsVKjWrVq34/ZR2USLCu8rGQl8Wtfgh+CrHLym9esRrJaazgcNnDGSjT6dllJBtl1PB6L4ilXSnB/xhnWx+BM9l3gTNsOmsQlGWcivqzyyQkHMNdlpjlxQHVJm1q5rYSfmMLjQO09mUwa2M0cgEUILx4eHr7YnZM5f3l5aSTJwBT3DfPrx+OxtGTZbrclfmR+PH6vBbIR83JuzwnXrkRYtX+GVSLsK0YWImfNKQU0AQVoWAILGQJJQv+obrcb+/0+JpNJcWgEBTgDg8Z+v4/ValWIKsr9ptPpF1kOmHU3cfQ5vXB2qV3EqR+ay2KYB0DDPU94D8GWG/W2SWYzmLKYJxjKzRFdM28ZrQOgfF6PyyUl7jWQx+SG0NfX1/Hw8NBKehoUci8x9znAmJvRaFTk11aF5exIW8mTAxeDBpkhMmkOmKpVq/Z9mP2bCR1n6U0AERjY/9in4sfca8VqqohmgsEBhZW/jA2V12Qyafg2cGW73TYCJhNHjIfED+PHl7lE08qBiFOfyraeVAQ6GRdyyYl/91i4t0zY8Zrvo628I/tvGxhKWY1VeswzWDGbzUqyi2PAZ4gwB1subQWnmUOOJ9Gz3W4bje15P+P2/WdyKwcoWCXCqlX7Ps04415VfM/JfSck2tbu+Bz7BNbL+Cb8mX1xxhn8ED5zNBo1kuv4+f1+X7DGbV3sy/jd5JP7eyE6iGjGNHmjFBvnaVPKZjIu4rRTvVVlTvRbTex4h2PaKjvw3VbscT8otCOaamfiAxLxtH7JqnGTXuCFy0DbMJO4Y7PZlM1a/Pwdo/EM2vDU9+vPJ9do2/CgWrV/hNVP2jk7NtltO0kWlE9PT7FcLotDNZvtoMHgg2P/9OlTOcd4PG68h+sMh8OyEH58fCwOwuohju92u3F/fx+73S4eHx+/kJ/i7Gl42O124+7uroCLyTgr03gvgAmYOEts1RTzxC5ZDmZ6vd4XpY/U/1sWzDkIGgBdByCM07uE8X4yHA7CdrtdLBaL8sz+4z/+oyjIAMHLy8u4ubmJxWIRvV6v7AjJM3A/MRR33F9uUnx1dVUUaKjcUA7yPmd6GD9z7ExZRJRMFaQq4Dsej0tWyAqHatWqffuGv8vkt5Wg+OJMOvF3l234HM/Pz7Fer+Pz58/R6XTKzsFe0PJ9MBgUv055HeMz7oBhnz9/ju12W5rZ5yCLZA3vWS6XJZHirDljMFaQxPH92Oe7nAeFHNfBl3e73cbrzIkDAc8Zf2sjvnjdJKWfW1Y/QFZ2Op3YbDZxf3/fUFfv9/vo9/txfX0dNzc35Tgrg+m/xn0QkBkPIcJQUhAQMQ6wFvLRGOP78r2jVjBR6fYPo9EoXl9fa0/KatW+I4OgwDKB49c2m01st9uy/o2IRmzg9T5+ZbvdxufPnyPiLV4gpuF4CLN+v198KDjTVnbIWB4eHooQwGt9/FpElD5Zx+OxNHG3TzPWZZwx0ZWT6E60uw0AX5BN3uHQSXHuPWMKmJOb2Tt+Mc44/uBYix8iIjabTdzd3RUshjDs9/sxm83i+vo6ut1urNfrgjPH47ERJ6HCdnxpUozWPJQtgr08GyfvmNN83/78gDNW0GFgzWKx+Js+39Wq/f+xSoSds06U3Rbdnymiua2uF+4Rp8CFhTaKHdReznRHvPX0QA5sBwqBQ9DgnU5YIHN9HMh+v4/1eh0PDw8FUF5fX0sPESTLLG5RfR2Px9IMeTQaNQIkQAeSpd/vl/ILyK2IKBJil/AAFhwDmWV1ACBD3xnm18BAYOCgBXPpCdfx/KI2IJByqSn28vISDw8PhQzkXM4ymQTNQShqPzJkl5eXDVL09vY2np6e4uHhodynM/XuBcZ9uwcDY4xoKsP4DFKKQ91+tWrVvg/D1+IznM3O5R5egNtYTOLDs8+gByV9t8AB/BVlEd65C19E4iTilJ0/HA5lR0d8Dn6Hxb39tdXKlM+gNHPiJQc43JNL933/Jr8cOIBdPhdzZwWaibBzyl/706x2Mx6BL8Yudkw2cdnpdGK5XBYVMokNz62z52ABPw8Gg1LmyvOy4mE+n5dglvUL6xYHdpkA477bVG7583p5eVmJsGrVviOzWpgEs9W2Xus7wWu1DmQIPsh9Kr0m32w2MZ1OG34J0h4fDM6wnjVe4NOfn59ju902kgn4MNTN3gXZSmH7eq/rjaP4RZLb+EZiOJNk4LJxhrjOiRaXnDI/jmMcGzohYyNxwXNjTnhuxjgSXCTJvDZYLBaNHYXZyMZloB4T9xQRZS3hqh3s4uIiptNp7Ha7WK1WJYmWcdk45vsh2ZKVY7yXucu7K1er9o+ySoSdsU6n22gKzMIvM952fHa0/COPx+NG5sTyYHpTUTKJQ8a5oxYbDoeN8hGaFlKawvXZ0ZFgJyKKCgwZrft/ufwRiS27pNiZQeC5gbIz72TAMc8L18eZujeXAbc5901JrjNKXI8F+263+yKb7QyKyw0vLi4aJZ6YiTB288RhO0DhGWanPhwOG88wq+Zms1kBDJp8un9blnlbEsy5KG/iPngPJKJLPqtVq/Z9GD7NAQo4gs+JaDY55nWXSUAa4WczsfT8/Byr1apgA9jEYvf19TVGo1Ep54uIBhFmBRZ4uFwui1IZo4TShNzFxUWjbQCBEZl87s/Z95wAwV+bKOR8VoiBEwQIxoOI+AJrmH8TQsaeXNaDuccmvjgnb+itiTIr4o0UXC6X8fLyUtYGYIYTQw4eXALJM8oKbgKj8Xgcu92uJGbI2htjHPxmlVxO9vn5gHe1ZKVate/LTIThN93X0cn37DPBE/wUvsU+Ar8Mzmw2m5LY99qYZuzsQMj1SfRHnMriiWnW63U8Pj6evR8rq1CcmXDzteyvSUagiDY55LgOn+mEC5sCOIayMuzl5aVxT47f/JoVYybw+O45NnnkpIsTLh4vODOdTgvJZXWxYxn8OsQdO1K6xYKNTQ1obE//MVciZWED925SzffHe1DauQVRtWr/SKsrmjPW7XRKDw9IBvcLo1kwDsTlIb1eLyaTSXkvC1Gy8BER2+22EFc4+U6nE/P5vAQns9msEEWomfb7fSkvgfih3h0SbLFYlN0MIbEo16PX2Gw2i8lkEr1eL+7v7xusP06WIMslGw5kkDd7V03MC2cyM5Qe7na7uL+/b5QUAkoRp4bP7FhGkAg4Wann0iAcMkFXxJts+v379zEcDovUerFYlN3IuJ7vF2m41XYo3gDNiDcnjuyY0kTvmAZBOJvNYjAYxF/+8peiznBjbL4ISBzc5cDEQXPEW9aHAMgBY7Vq1b59c29BSq4JSJzdplTQTW0jTmQVPRAx/GLE26J8vV7HZrOJx8fH4o8nk0lZ8N7e3sZ8Pi8qZC+o8ff4YDLQ9D1EoRzxpkomCUR5IMkCiBarnxkjgQ3JCvtFAjUa87pHZUQ0fKfJmul0GldXV6Uk3mU1+VgHd1Y5uBzSWe6sOOP5zefzGA6HpZ3Ber0uO3NZucezcyKIYMFrCYjITqcTk8kk5vN5jEajMkbWIpTfk5R5//59aZHQ1ueHZwGpZdLLgYqNZIwDz2rVqn37BmkDwUAc4tYlWY3scjVwBjUq5jYe7MLI7vL4WDZaGQwGcXNzUwiUnEywaoyxENOs1+uGaoyd4yF3KFEHV3a7XSMx7UQ6sYYxxGWHxhnHAFZOgR2cl5Y0+HrHJ2AgyR/G6Xt3JU3eRMDJEfADnDkcDrFYLGK5XJY2Bbxvu90WbGRcESeVGfgBdjEHo9EoptNp6V/JuMCY19fXkox5//59UetRWsn9OGa0mSDDnNhDdAHmEU9Vq/aPskqEfcUsnWUHKPcksXN1iQWOzpllZ10iorHItlMm2Oh0Og2izRnj5XJZwAziB+eN4/bW6mT0XWKCE4SsMWHl2n6IMIghnB334wW2pdYu57ADxsERmHHPqBzIHkCasSviarUqRJNr+xknJSaMKdehHw6HUhoECUbQGRGF7DSR5NIbZ+mtDmAe+ZtVGxB93I83S7BU2ubfc+CCsRBxLxqCSmf8q1Wr9m2by/C63W5Rd5pIJ0gw1uDjeN1llNm82Hb5m8vDN5tNwa2Ik3Jos9mU4MmlKiRkOI4Fuks5fB6XozBGq7f8+m63K36UxXcuwclkoEkk5tLlM3m8vIdg6ubmpiiv6cOGaptnYQWDCUnjPPe+3W5jvV43cDkHl1/z1WCKsYVxQ1Qabz0XVn+D61kJ9zWzep3Pp+eNz52JwWrVqn27Zv+EH4OwJ4Ywxtin4u/wcxlnrGgCZ6w2dbXIdrst/oP3HI/HRqwDqbJerxu7BrtkzkkexuC1OhUhVtNm/8v7STQxdjfPNxFmZROqZQhG35vX/xEntRVEICSg8cVlmI4n6QfM/ThJkXHG8QbHOVZxrOZqFCuBwRnuF5wD/0xwce98Mcc+B2Pw56QN81zeauUbRGe1av9Iq0TYV8xOhXJA10Gz21PuL+Lm7xEnB2Dn5ODAJXww9Cz6WdQ6WFitVoX48Q4sLvnD2VDLbbkwZRtZ4YbD9r1ENDMI1IUbzHDeXpi7p5l7DaBUM5jhnA1Wl5eXcXt7Gzc3N0XavNlsGlkJ5pQ5h2Rz5oY5Q8WwXC4LEcbz9SIBy7X5JtQApogoARZzENHM6AOY3mrawWsmw/6IGOt2T02oub6zTFURVq3a92N5cYk6yUQDWMOiNKufrIrF/LOVpfgNEiMct1qtio8yoW5cwIfiP3OZOOrniGhgDf7SpSXcu8vfbZBg3sHS5fpWKbtUz7iQF+ltJfjM983NTUyn07i8vCwYAdZkfGKBnsdurHl5eSkNp02kMWY/izZzGarnhLmmzUAOKriGm+k7gPsjy2PyvTkghFCteFOt2rdvXmvb70GwYE7U4kv4f3ecg3kN6+R+Tk7gg0i45J6/KLxIuFDhQkzzRzjDdVxl4uTP13CG+MnY6LYCvG4lrBVaxB3gDKpijPX/YDCId+/eNXCGssbNZvOFisylly6B95xRmeRNuJyw4dhzWOPEkkUSJrsivtzhnrnkmeWdQtuS/DY+V14LOL4yEXZOoVyt2t/LKhF2xliIRkQJAMgyz+fzUr5BxpxyvYgoUlTLOQEV77IFINnJ4+AoEXFGI2cZhsNhLJfLWK/XsV6vy9/YIYSmx5TS7ff7eP/+fVGSuWEyTs2llBEnhdpisSjlMBBhLmshU8PiGALIQcTr62tRM6GQ4jxcfzAYxPX1dczn8/jTn/4Ug8GglCBOp9N4fn6Of//3fy8kpHfB5Lz09np9fY31eh3//u//XoB3sViUeSJrfn19XWr+D4dDUTY44FgsFg01GsBPzx1IPubapT4ERff396UUieNylqRtAcFz8N95LtvttuzkMpvN4vHxsTYyrlbtOzH8CD4J/+tFIFiz3W7L4tQl0+5r4t4h+ECTLxGnBbJ7hUREgzjBjzspgop3uVyW3pT4cPwrPVqen59LvzCXX+BnwQ5vnIIyARKK/jDcZy5p9KLcmOMyd0ghxgmmElDd3NzEbDZrYE2v1yu9tqxG8M7FYDfX4vl8/PixPDfvdGZVsAM390ojAUZABwGKoWju9Xoxn89LEGKzmoJypMFg0CgnNXnm5E1b0ENAw+eBtQh95SoRVq3at2/8z5vQ3u/3JU4g+RwRxUeyRsUP4JO8tuX4nOAweQEeuFrE7VXwj+AWJBhl5ZSIM0bGDG6wQyX4QPmmYxonYcAalFTENJm84nq+t6ymAmciTpVDJg2J066vr2M2m8WHDx8aGAjm/fbbb2VNPxwOI+KEMWAd97DZbOLjx48lbmNHZuIs4x3rA4saSGpZCUfSByMGYqM1E1zEH1QiDQaD0saGhv1WOzs+M14Yh1gnWLXGs6xEWLV/tFUi7Jx1mnJbHAWlaLm2mgUsjtYNFFECsWh2ZtolfCbBcBjuy+Iafu8uyWIV542DpmYfRxpx6nXl7D+OF+fFeOyYDBJ2jF9Mm2TUnJP7gAh0gJKVDZeXlzGZTGIymTSaJTJvzHFWAmBZdRARJZB0FioHh36fxw9ZaOm07XA4FECgD5k/JxFRev88Pz/HYDAofVwsGTfI5Plk/gxCnhPmYzKZlP5m1apV+/YNH46iFh9vhSk+CdLf5Rf4OfxBJuAxq5PtkzHjDMGHyRHKP/IC1yQJ2MX1IKYgkEz6mMSyH8skTJsCwT/nLDljQ1XA8eCvvw+Hw5hMJjEejxtlmtxjXsibfMvlJoyB/pTGXJuDQp4XAShqCBJvWcH2+vpaCMLBYND4DHD9brdblAKDwSCenp5iMBjEZrP5IpnSpoQ2vuQ5N/5ZZVGtWrVv2/z/jv+CHCcugUghIeAqD685wSMrxJwgyGtYbwzlPlhUUzjhS//ENrUpiQGIOuMY/plYy7sdZ6UXONvm4/KcRZxKIn0+fCFrbyeMwGiweDAYlJgmxyAuv+QejOket+eDRJR3VmxLXPC6E2TurZbj0YiTSm6325WEB8/R8wDpBfE4HA6LIKPt85Cx2/OfSyn53eX9NelS7R9llQg7Y/wDs3Cl2eDr62th4r2DookqZ/cBF9epR7w5GxNBHOvMNn3BIOJwUDDlLLhzbbad9HK5LKx+t9stC+Lb29tG7TqBz2q1KmOHCLNMNmehHTzYmWdzVsZ9z5hD7qHXe2tyjJrAoE3vFqvinJGnJAWZtYNGlxORiXE23IA2m83KMyErBvDkpo2Ql+v1utGjDJDn84KSjM8LygoDsolNxsrcuizGQMOYLi8vYzabxcPDwx/KkqtVq/ZtWCao8F9WDZu4oYeVAwoveJ1U8ILfPsVZV5c5ZBKGXY0px25b1OKfOQ9BFIo0XgOr8Kevr6+x2Wy+KK3h3F60t6llc+kGc+mEkrHXRBdYOBgMCta4zJ95sDIazDNGE8SQfOp2T/1wcvDEe90r7HA4FOzjeLDe6jbea6xBEYH/d6DE84As22w2DaUcdi7p4mfhtYUJSuazWrVq377lhAvracco+KWsWMIfWhXFOtokBfhjnMFnuNULvpWxsF7HJzJeJ6t9LhIB+B9wpt/vN+Ii/CNKao7lnp0QyArjTNq4hYFJJtb7roqJeOs5zPv6/X5Mp9Pi6yNOiSfmNyf3GaPb1/CcIqI8Oz9b5iyTa1dXV+XaLpEl4ZVV5sSZVv4y7xZHEDfR13Q8HsfDw0NZe2QVGZY/G204yRcVS7XtS7V/pFUi7Ix1Oqftz63ciWiy1w4m2M0JBVAuD4yIUsbGTpHOzOC4cOBkNzqdTukB5saBODDUXZBwqJOyk+Y9z8/PcXd311hAW5l1dXVVMjM46evr6+K4Hx4eGs7QxnkYJ47ZkuROp1PAtt/vx7t37xqAyiL//v6+vP/u7q40y4dc6na7sd1uS/Ziu92WeeZZWKV3OBxiPp/H6+trrFarRoNJlwdRuhhx2soZ0O90OjEej8u8Ud/vchSkxwSvLC7m83nMZrPSmP/x8bGAlsEAUMvz61JdPncEOsfjMW5ubuLz58/x8PDwxXOpVq3at2cEICb7nQmOaCq38NGQSyxanfXli23qUYgSkPBzLrfH1y6Xy7IAxxeb2GFRChlHQoeFusmpl5eXsqsUX1ZpWb3G9afTaVEzsQV8VsB58e8AzcQcftvN46+vr0vCAjKs03nbvIW5eHh4KLjPfOWgEJUx98H18eURp2bUqIFRzTEHjInzg5MoG0gScU+owVB687xJhKDwvrq6KnPI/S0WiwYeYg5AHOidS6Qw9tq7pVq178ecFCaOwB8Tb0Q0lVgmdvB7Vh3jQymLo4zdxBfXNpEeEaXdinEm4tTDy0kQzpV7EoMdJMEfHx+/SP5wH8QaJBNYxxM3WXRgAYDHb4GBhQuM26Xo19fXBReJd7rdbqzX6zI/4Az4wHwyRpJSzKPV1MRsT09PZcdjYiDKFk1IWrzA+5kTsIPPA+WixDTgDImxq6uruL29LaWgo9GoxDn39/clpjLJ5XuzOenCXINTnU4nRqNRiUdzHF6t2t/LKhH2FbOzw/FGnMgrg4f/6XEqBgscO8GHiSL3cuE1Zwcgt3DQ2anlTC0EGkBBmaGvZRKIQOni4iKm02lEnDLgBF40akbSzHeDQg6W7HAtJ2YOYPshj7hXByAEF+wgQ9BmeW4bmDjgY3yef4MJz9GZIWf4c8aGcUe8kVlWcHhsjB/AGY/HZUti925x/xY+X8yjP0POEgHYEVGya7PZrIytEmHVqn37RmBhs+qK/3P7F2ORFUPGGG8cYh/IOU26oz42IZeDAZNNvhbkC+pe92vBd7Kod4sBAijU1fg4sIDzWY1trMn3z3yBN/apZJQp4SDoAs9QBxMIrdfrRtIF4z6MQ5yHsbQRSSblHMRl5a6fM76fnYY7nU48PDw0erBwXzxf7p0eMcwfc8numQ48PFarkVmP5BIiKwj5qpn6atW+L8MPWeHk3oRex3s9i4+xz3fy3mvUrLByQh6yBvKF8nknf/iZNbdVaCicjsdj8YnENJw7IkpCyM3cHdMwVhINVhPnGC4iGnPDOH2frrJxTAPOcA4U0SQ2eB4RJ9IRDOKarmzJGANRBzZzPh/Pa8R9VoN5Pu/v70uMh7rOCjuTaJBwPEO+mEvM8R+vZ2WY78lJLz5r1ar9o6wSYecsJURN8uC8UAA5C+6eKs4WUM7IIhwnk79wTgQnHLtcLgsw4WQNQDhJ16CTUaYM0g0i2fmLTIrJF+Su3Dfnpd8ZzhlnCYAyLjLGdsou24g49b3BcfIagY8B1SWnr6/Nxo801IRY5DmxuYF7CVg+zPkABgdgBkGIOYPQcDgsjfGPx2Msl8svskQuWQUwZrNZIf7IHu12u0amJBOjBLRtZT8cQyBn5UPtE1at2rdvXgBjLsVAJYafYFGaywJNTpmgimiqciGiTN54x10UphEn3PICHV/PWEykjcfjslGLFVCr1aoQSJSD93q9skkJmIVfh1zh3glSHKgxTyR/uE/jjRfc+EYy8yRYwBrIKiu4ctLFKjGSKCjHCdLADcbjxAXPgTVDTrq41NVqC3DjeDzGw8NDoxyW+8PA/MlkUsZsgtEqgYim2tCBIp8pvjtJBwnH56ZiTbVq37Zl4oT/8ZxQ3m63xTeBCY5v3M8QMsStUOyj8XeOZ3i/E/BcgzFB1LgFCtenymI2mzV6ZUKEQTjR/L7b7cZ8Pi+Eje+HtT5xBQSar++Ns3LSgeoazym7Q7pNinHGMQLJfc8R8SVf4Do4Y1IKvDO5xbnAFB/PaxBtLtMHM0jWgDOuQMIQY4xGo5hOp+X6xKa73a6sX/jsZZzxusJ/z++BiGM+zymVq1X7/2OVCDtjxzg2MhEQW7vdLu7v74vTxYGTGbHaCgdjdRY2m80KaEREWWDjYIbDYaNWPztx/kZWYb/fx2g0Kot9muS+f/8+3r9/H51OJx4fH8uugs7Wu8GvSzWfn58LOURWxQt7AhyDFmPLu31AwiFLplSQ++A8ZEpMUh0Oh/Ia48RBIx3mORiALSmmTp+dtxaLRWPBDzE1Ho8LSWklm0GFXgRXV1fx7t27BkFK5okNCCLegpHxeBydTif++te/xv39fXz8+DFWq1UhHU2MmizEAKj8ZRk4SrPr6+tSClOtWrVv17J/ofzBC3t6IxJEuFG5M7sEJeANSqKIk4qZn1nMescnY5mDIbCNUo3tdlvI/PF4XEoM3717F7e3t3E8HgvWsJGISy2seCYJwe8OJDKBh79sSzCRdOD+CCLA7vF4XMpJrU5zz0kCIvDbZCFjsHrYZJJ7zIDT3DclQ1yDOWZzFUg1l+VYpceznM1mjTYDDhA492azKYqw33//Pe7u7uLjx4+libFVX/7sETxZjZgJWj6vGOOqRFi1at+2OcnuhAOJ3sfHx1KdENFM/JMkwLfhb8EZ/ARrZ85BPEEjdSc9IqKh8qJED5yh/BxMIzHf7/fj5uYmrq+vIyJitVqVUn7IPEQK+GUS7cYNYjPHAM/Pz7HZbBp9uUzYQIrZ31Lh0YYzTgZ5sxJ8PtdyUiXi1Ag/orlRiVXIkHyXl5clBoT8g/gipvEmXpwLIo37A2f6/X7M5/PyvK0oBvOc6IqI0o7l48ePBTtJ3Fjx5fvhZ6vrbHxW6VXmeKpatb+3VSLsK2ZpMKAB6ZPVP84+Q1pgXiA7E+MSCQCF7C/kkMGCWmmIH5y3t8LNpQsOhuxUOZ4gi9e3223J+JpM8v04aPOuJd7hw4SO5cI4U8D4eDw2NiIgK85C34txnzOTRbkc0aoKjqefl6XIGSidbXe2hrEA7i6fAQQtF/eY1+t1AaTVahWr1aoEJh6/Pye+l7aAxAZIAlqQbpUIq1bt2zb7ZiuJnKV2yYm/HKzYZ+SSCSckWHRHRNnFCvzifC5Z5/0oUb24x1d5N8tc3oBPd5DCAhx1GmNi8UwSyUoCkg8OshyEgYlWD9h3Q/S4HIdxcZxV2fbNOenAa3x3gABGub8o9xNxSmigPjA+cU0HJxBzrDsIRF3u6F6fm82mvL5YLGK1WpWAy8/YJSr+HPp1l8/6WN+31SDVqlX7Nq0NZ3I8YFIe3+P320f4e0Q0fGBWkE0mk0JomYyyqtRKVaubKOUGl/A5OaZp87suQYw44QzXJsZwGajbnlhhndfnxlSr1ZhPEjEuOXUvzozlXC8n8X28E/0cB2mXy/iNRe7XZnLKsSiJN1fK8HzcGofnQ8Ll6uoq1ut1qTRy8qiN4PraZzPHPqwFwDvGUOOaan9vq6uYrxiOAged+5VENLfAheChLDDilLFvq+c2uLCA//XXX0sWfbFYxHA4jPF4HBFvGYnZbNZYzKMaiIiSre92u/Hu3btyPQIOL7JxZpSB4HTIDJGBIdMNMw9A9nq9GI/HjQa+KNIow8TpsmslTeKZU87L7mFkIJyZonE993mu95UX9wYNgik3OXYZJf0GeL77/b5kfqwM82dht9vFcrkshCHf6Y/T6/VK8PHy8lJ2cux2u7FYLGK5XDa2Gc7Zt2xZYo5lcGO7Y3a9zHL4atWqfVvmbGzEaVHKgpMvl66bMDERwTE2l4VHnAKQi4uLeP/+fVmsL5fLRhkIPQ3BGbAPYsdJFJM7NJEH9whmUEfxd8YJeU/Wn2wyY8S3DofDRm9KFsdcG99pNRsYZPx20selnhHRIMxyOUcOTjiHVVT8DmHopJnxg3na7/eNFgfGLo53oorjCEDI0rM5ytPTU2NjgoeHh1gul7FarRprlrbPX74nPovZTAQ6KK04U63at2tghwl5fLQb53udyd8htjJ54/97v+ZSwl6vV1TC9F+0Api2IT6vNxdxj0lUYKh6I05+mfODMVapErMQm1DZQhwFzhALTKfTgjVWQ7k9iok89/FiPne7XZkfV814De/Y0cIAK7acmGgjwbgeuIw/hnTkPhzDmIzEx+cyyMPhUJJPYBTKu6enp3h4eChjIaYBZyK+7DfJc8jCBr/mOJn7psrFqkCXo1ar9vewSoSdMTLd/HPSo4sGv2R5vViGOHHPK4IB/s4xlMuh8KIc5OrqquGg7SQgV8iSkO3AoRjQ2G1qs9kUgm4+nxdgc1P1Xq/X6PcFoYJaAJWYswkA0Hw+j+l0WhbGOGiyMKilIqKUvdicsUGaS+kmO4ahtgJAnUHI5Yt2wARYObPPuHgfwEVQBKHF+DCc/Gw2K+ey+s8ZMeZis9mUZwT48nwxKxCOx2MJSH1uE3NWJDIPh8MhVqtV3NzcNHrK+DrVqlX7tozghEQIvsAlf05AYPx/46OzUskZ4sPhUHqksLhFZQWm2EhQQK4wJvstfBBYQV+WiCilkt7N0qQK7yWDzyLX5Z9WJXDN6XT6hUqZxXLEieQjAAN3wAwCAweF4ADY2abodomMgxRwhu88B6uWvQYwgcj48fU5UcY4stqc7w7IMrkGCUdizOpC5t9Jkty2IQdevl//3WVW1apV+3YN/+Q1MTEGlRr4RdbEnU7ni1gAn2CCn3VpjmOMMySy7T9ZD6MAMyZAGuGr9vt9aU8DyUVswXkzce81NdU13lmX9XvGGXZC9DgZV8SpJB+csYIMjIAIA2cYG7s5GjMiooEdnCMnsUwyRkSDLDQmgjUWI3gHSxNqrjay4tn4BhHGZwOi0skv4ifM2JETQRlHPfasCnMyazAYlPuqVu3vaXUVc87+c13KPyVOwnJZkxERJyfkZuc4N8iviFOgMRwOo9PpxHQ6LdkFSCCAwBJgFtacx4azYTwovgAtHG7eXTEHKQ7E7LwMCJbkki1pyzj4nM4YOfizYwNIASkHYXbKJnkIts6VejCu/Kx4Ds4icYwlzAbIiGgErJCPDiggSA12BGvuP+BgwlmSPD7m33P7tXthHJCclQirVu3btTbVptU7Jj1MUOCD8yLZ/t9+vdM57Sjs0vtcsgHG8br967nxQyKRdOl235q8u/9WWykLOBPRbKDrIIBxcK9gTcQJq7wAz0SVyaqIEza5xNBY47nkZweHbb43zwfj8Jxxv5BgDjRcxsIzd0sGsN/ZdoJYjjHOgf0oETzetudIcJRLIU2C5fd5fkkIVlVYtWrfptkvRpyqUvw7vtVkiPsKYn6vSQneR2LDOIMvMgkTcerL6DJxruEqCauM6aFF7yjjjJXPTrjgP51gsV80znB9CC78snd9dExjVTfKsezLvUka53D85fYEruDxPWX8Y2z5XjKe4at5n8sLHb9xPs8B5+Y+nJyhnLKtUudrZZHGPSdlMs44fj4cDuXzVK3a39sqEXbGvDDtdDpf7FqITDMvwnPfERRfJlS8wLy8vCxljK+vr/F//V//V1F8kS3Oaqvtdlt6btE3hcw6DoZzuHkh2QiujVPLvbi4lxyM4dxoALzZbEqjZTcsRmbcNpeABdkZZ4RQrU2n0xgMBqU5MqowxkmJ5cvLS6OBsolDA6IDhDbAcDBFUMIigCb9EVEkunxnA4C2oAtF2tXVVfncoHDjmhB6+bqYx9Tv9xuqtUxSslDg/TTgr9mTatW+XbO6E7+cyyGtCvP7Ipr9ENmC3otX+6R+vx+3t7dlgXt3d1f8W85IG2tMzODfTdCANfg1srcmSFjsG0ccUBDYRDT70TCG3DiZ0g/GyjWczGCRj6KYBBVzMxgMyjhRGXjRfzgcynW8YM+Za2OOSSv7c8aVd0pzyZGV4OPxuCgx+BxYcecePCQ+8Pnglne45H05MWLFuRMu/kzyO5aDYlQZ59oWVKtW7b/X2ta/7i1IQsCJZ95nhRb+lPPYn4AJbCIFntzd3ZUEv6tl8KUQKqyZnejgnBYAeDzESB4Dfr/Nn5k0Oocz7l1m/5vVyNx7xhkwEiwcDodlnLQGiDjtMkkVCHNB2xU/O6/3wQ1wxkkIxsUmYsyBK1y86Qt9QokjO51OqQDKaja3LyD5RYsXizdyvMhcRzQTKMRQX0suOdmVN2CrVu3vZZUIO2OH47EsPCMiHh8fG1mNLOtEWcQ/+fPzcyGavJWuWX3K2CBJaKTuvmI583pxcVEc2X6/L/23TNqgOuKa7rtFaacJmqxAyH3OADec+2g0KiWaZJ4JKrhf3m9yhsAFJ2hyMJf4dDqdmM1mXzjN3BPAAaQVZ5BxbtBPsMH5nZWyMoGdPu/v7xsBKbtK+poGYYP5dDqNyWQSnU4nlstlKYnxxgB+rsyXA1w+K1dXVzEajWK9Xhfiy8SbQYTP4Hg8LterVq3at2n4M7Lch8NbibPLDZzZtU82eeTFu/vA4D/m83np+UUSY7FYlAQPfhJFAD43Z2RN6DA2+yyUtdvtNobDYcEs1L+MPZeX2O+7GTIkCwt0zsO5uV8CAGeRs+IKAs+KXXw4rQSsiHPiKn+BNfb/Xvx7PD6GRJrJyU6nU3Y58/PNSquMNYyVZNR8Pi/rFCeYHNjm58r9MS8OPMEW7pPrmQSELKwkWLVq367xv+42J6vVqrGJidfPvIdSchMqtDDJCQB2tp1MJg2cobeUS8whZlgvQ9zQE4oxEuu8vr4WEu14PBYF2X6/j9Fo9EXPLs7tKhI2DnOiGqxETHA4vLWgAVuIBUi+2K9HNJW/xhnOb0ygDNVYB4biVx33WXGGgefMH/697Vk7vmBDG3avNBYzbsem4JCf/2QyifF4HDc3N/Hw8FDWKHkDOc57rmzeZKFbFZgs8xzlDXKqVft7WyXCztjxeJKXunQhq6pyhiWXOpDVcKkDTpl+WTR3JCNsRxjRzALwfmcDuA6ZEmeAUYfhqAgcCAayKszBiUtm7PDt7AiEdrtduUdAwISVM0d5EU62BKDCoXrHS6sbeP+5cgw7VUAmg7wJJGc+nG0HHAxUx+OxfC4AdubO6jQaPKMcXC6XjWwQgWxW4uVACxB3jb8zLfmeWUzU7Em1at++8b/unhtkQMm6ZlUOfsPkjlW+LJTxS2w4ApmUe0fZHzuL7swzxBLkCiowVM32P9wDC2H7VbcUwL+ZCDMZlQ2sMWYQgDH+XGphtXBElLEyHpeT+/rMr5VRWRV1boxtajEM3OX6JtO4JuN4fT31pTF+dTqdhpIZjOh2uyXxBNa0Kbo4P69n4tREoe8j/+y5apuLatWqfRvmhL3X5fhyr6ftG/y/zu8RJ+UV/tdVHp1OpxBsTpjkRI7bqXiXepcpgoHH47GsgbO6ixJG8M7tU/C13nzFlnEnIhpxhYkr92vMcZqTL+Ca/Tx/M9b5+sy356lNJeW/G7NNmOUxZJWWVcjcA7jhcUZEo+8084q62okvJ+tyXMzrJuZyQp9xe/z8zL16M59zCrJq1f6/WCXCztjxcGw0cecfE6VVRDMbYNLLJR5k7VET0QNrMBgURv3h4aGUMXhRikOisT3vBWBoxI40layKa/QJfo7Ht/sZDoeNUkh2f4T4YmGNYgvAdINfwM0O+fn5OSaTSXGqACK9qjCOZ5v3TqcT8/m84bTZfcRE2NPTUxkzQSL9uXgGzJmDst1u1wBbL+C9eLccG4BhLrvdbpkbMlQGx8lkEpeXlwUUnp+f4+rqKq6vr+P6+rq8dn9/Xz4XgInr9X1tPkco7VDbOXAC6Bl7r9crJN1wOGzcb7Vq1b49g1i32jUiGiX2Ec0G5hFRsMLKJoKF0WhUNmKhZI7AYrlclrI5fI+TA+AN2denp6dyPOOESIs4BR8EGfh/Fs4cg89zWSNZfnwh94lC10SVEySoklnQEwiZ9IEUpOyGBfxkMmnMGb6cc/A8wBIwxuNjPF6sc4xfayv1dBLKnwEnVIw1Vsc5acXzY4OB6XQao9Go9Gyx2pp1SA6unOQzKQnG5Cw95+KzYsVbJcKqVft2Df/kipaIk+qrLdHN2j/i5OedpB4OhzEajUp8QvL7+fk5FotFwQ37CQg0N+AHZxzX4P/oc2wFcafTKSV5T09PJdlsooeSd+4J/08cQ8zCe6y8zjhjMi2i2X+MuWS8bOg1mUwacSOJCTAR7HGLASfEbI43D4dD2anZSjQnr3JC31gDhkQ0+7MR64IFkI5gPnM/nU5jPB4XFaGJwIwzbSoxPktuPZBLdh3D8ZlD1cxnp1a6VPt7WiXCzliv14tffvmlLEohmZw5oW7ZrH/EaRt7K3rYrYuFP9Lh9XpdekcRrHAeshE4dt7PLo2bzSZWq1WjvBGH5QDKY/axAE6nc9ohkzJHHBT36YWw69mtzsKOx1NZKT9zfQCKchTuh54ozD2lIsyHd5tk7M6CeEHOa9yPF+kep0sPOR4pLkGTd2ZxLzEMQGL+CE42m00p7bR02MFJzpI5gwUAOPix2o65zyU+gCnvcTBZrVq1b8vG43Ehrcii0yMEv8PP/D+fU4SCM4PBoPhWjifpstlsyu6CLCZN2nS73Uaj4/F4HC8vL6XMBYxi4WtCJAcHJprc/4proZzNiigT9/1+v3EeJwqcnLLvZTHO9UzWkYziWg8PD42GvwR53IN9KmP0ot1KMpN2NgdoLu/IiTICEwi+p6enWCwW5dher1d2/3SQQXlQDphsbUqItnFaOcD9MfdgXT53JcKqVfu2DUIH38HmTVYk83NOsEQ0N/dwGT7JeXw4OLNer0vyxO1InBwBZ0jgHo/HBhHmpu0uS4xo9jB0AoJSPZTQGBiQ4yIrhV1dY3KHeTG2uJUB1Rcknvv9fkwmk6LEPh6P8fj4WBJIjAFsizgp9Uj4WzEc0UzUQ2hiVlYZZ7IogLFB/KE2fnp6ioeHh0Zyn7E7Obfb7Up/ZhuYbSLVeNOGM45RuT8r3HxfftasTyoRVu3vaZUIO2MXFxdxfX1dSA0rnyzNJRvBeyJOGWJIMJNY/GO7rBFn4wW/HYuztVaIWQkQcWLaCWJy2Z0tOxuXwfC6zQtn94qJiIaKzBkOq+UIEjKQce8uyzQ4Mt8G568Fg349O2TfgzMOnhMAw6DN3JgU8zndj4175J5RaBlUPTcZMM7dl4ONrGQD0C11tgqjEmHVqn2bRo/Hy8vLEpg4uZD9RUSzhADfZKzJwYlJeJ/Xi0sveE2+44sj4otjXEaHZX/LOK0ksi/LPt3JDMi9nHHGv4E3zjhbpezXfe/4dr476wwRxhh8D/6dsWMmh3KJiu8z44/P7Uw+z4Zghflk3MZp7pc1RVbGtY3xHHFldUE+zj9nwtLZ+2rVqn1bBoF+eXlZVL4RX5bjQcRjXifjb53YdxySMcYJCc7lWMc4gzrMxEfEicByTHPOj9mH2o87Yd4WE4EzjrtcDmicAQNMzuQSxf+XvT/tbWxL0rPhIDVwHiRl5jmnqtsFww2jYfiL//8P8FcDhuG2yz1UV50hB0mcqZF8P8hX8NorqfLzuk+5VXVWAEIqyc29116binvFHXfE4h6dwGbe8dPc/2t4cAw7IpptZfh/iR/HsAYzYcd4UUE7JnGyinMYZ4wtJXl4bH5t5fh8DAl93x8/iDaYt2PXqlbt/8YqEfaKnZ2fxa9//etYLpdxc3OTJSE0UiyVULvdLp15r9dLp9nv97NR8cnJSTaXp9mjnawBxT8ch5wYtp7sDiDlXlsw/2QjnDWgHNJZIBw2JReWRLtEMSLy+r1eL5bLZY7R13fDf0txMWdnZrNZHuMSFZrMe+w4+lKdVTp95s4ZERN2BqkyiHHW3hksdpXh2TEeyC73xWm3X3qzzWazvAek2aVc2Mouk5ERB1KtJOx831YtOFAEgMnIVatW7W3Z5eVllrTN5/OIOJQHuvQbH20iCuILLBgMBrlJh8vnaLpfLhzxz6Ua2SWSVoe555dfs8/zAhXfhIKY98pekBzLPVmZBOaxWQifQbXskv5Wq5Xl6cwZ13EPNqt48aXb7bZRlmIcAevL5ImPwci287yOlarYeN9ZfLAD1UapTOP7EXEoO2UHY/c1NTl2LGgoscb38BpRxusOfrhexZpq1d6mTafTrHBYrVYZc5TJWpPoEYeSwmM4Q5sV1LTHyu3tL0ga45OO4YzVu6i6wBsqN/hsqbTtdrvpp602LtsOENO4mb0TSewUidqL95zgptTR5BGJC15H+OCNBVCsWWXr+KSMdTyHvnfjkuOZkkQqE1AR0ejlRosZVOjEIozx4eEh+5qBbcSwYBBjP5ZwZ36NM34OGPfstQP3x/HEXcSI1ar9XFaJsFdsv2s6OJwxQUZEs8fG8/Nz1ojjOPv9flxeXn7VQPLu7q5RLkh2Zbc7NB8EWHBQLHbp50UAQHBwcnISo9GokTUBUFCt2bFHRPaRAjRwWC4Tgdh79+5do1wEldunT58aO5cAbJZc05DT9fn83+QPKgZKVdw75+npKe+NGnGXhzhg5JmY+MOZ8nwMTg7IGDMLBMAa4GeHGzL1yKJN0p2ensZ4PI5Op/OV+oJgzEAHkDujUqrjOLYM1NwrwNkmCFLAuGZPqlV7e0Y/Kvuvk5OXhve9Xi8ivm4gX6pJWcDTqzDi0Efx/v4+FotFI0vd7/cbfRbxx5vNpkFcRTR3eOLYVquVpTZlrxLGDq4RbDjAgLzBTzko6HQ6cXl5mT4PH3Z6ehqLxaJxPO/hsyldod+MM9j25fRwJIkBxvCzXq8bSjdnxW2lTwVrTFyWQUqpKnOACA5wvyYonTTDHACyviiV2FYrlGoI5pDnxvmPEXalUs2Zeu79jynQq1Wr9q9n+PpSecP63n/P+KjSv0GIDYfDRosXmtrT25eEMLsUu4oGNVqr1Uo84NxlQjcicndg/CpjAmfwf4zHpeNO4Jeigk6nE9PptKGkwk97l8uIw86WxHkm/ohhdrtdJi9KnCEBTn9hMGy5XKa/xbeWCt7XFGzEC/x+LFbgXI7DIg6VQ+yIeX5+3tg1s0xGcT/EnqXaukwEMTaTrcyjk2dlEsYxlNc4/Dw+PiaBWa3az2mVCHvFIKVQAeFAyYywyC6DFP51NhhywpkAFrg4DNeXlxJdnKgX1TgfN60vF9hllqeU1+LgIg4BD06RMXIOiECcFFvp0gcAcLCCjKCJYIXzAZaQNRwL2DnQYczcp7MIEfFVYMH9+Zm4/00ZEDjrgmPGcTtINVnI/Vh5ZSD1HJhkc4BRZn7414RfqbgoM1CM20GISTdAqVq1am/TnFkmox4RSR7x91xmVPER9hMkS/AJJncgsSDuTSKZOHFfF5IkXlCDGy5RMA5GHFcUleONiLy+CRvuHSUY84B6y7sl4nPth5kzK5KdqTbmOvhgzOA192GfbtLvWGLB53AQUwYVDhyc2eccvh/3ryTQwd878DFec55j1zuWUCnHx/39sXv0HPi+q1Wr9vbs4eEhttttEuauUrCPOUZO4Lsd07hFCOtNq8t8PD6Z9yBdHh4eGsSGfaGrOcAbK5AwxwglccRYSSoQ1zhx45JMkvsookiIcw6PocQu4ww4bLWW1+RWyWFOlIBLbrVT3q/9uGOYEoMiDjFBOXdeR7gvppXZu92ugcURh1iMOT5G1pVxWblWKd8/hiUlnhxLzlWr9nNYjZJfscfHx/jh4w+xXq9jPp+nYokMBXJSg4QXlTgOdnZstVqNHRvX63Vj5w12fXr37l2sVqtUHQEgZB4IRMjek21AskofAMuBeR+nBhi5ASOgOB6PE+RoSLjb7WI2m8XV1VUMh8OIiBiNRjEej+Pk5CSbMDNGHCtSVsg9MigEMvSvKh0r4IjCgRIR5hk1wunpaaxWqwYpWYKis+hcC1BCFcYOngQ6zmB5rJPJJM7Pz1MVyDmcWePZA4xkfyKi0W/HIORniPTXZU98Z9x3wQDIOS3LJpiqirBq1d6u3dzc5N/2ZrNJ9RZ+zurgiGbpNn4W0h0fTNm6yw2MATSMv7i4iNVq1SidhAxjwY3SygtTNzK2DyfbTUDgMnfwEXzAzzuYIPGw3W6j1+vlJgL9fj/6/X4Mh8PcHdkNmCHIwOWIaAQykIP4ZGOJFcLcC+M9OztrKLDBhrIMBF9sYo6gAsymxMgbnTiBxdj2+33c3d3l5jGDwSAJSfAAPIPM89xbvW4izP1ofH3uzRsrYA6gMAJj27EEU7Vq1d6O3d7eZnWJK1JOTl42EImILPmLOKh3SgIjIjI2geTy374T/MPhMJVX9MAENyDNrA4mXog4kGvuXeUEOomdiEif7/V/xMFXGUeJuYihKLsHM9loBvFB2QYFxRfX5H5dFePkt5M6jhGMs1yb8k9iMd97eU/ujQn+WAUHzhiDnCTn2RNjjcfjVBRTNYTCDtwy/oEpqL59z+C845ESb12WX2IM53hNwVwTLtV+bqtE2B8xtpr3DhX7/T57ceBQqbk2a46zWywWCShksSOaf/wEL+12O0ajUTo7iDaTIhBjZMbJmEc0e7Kcn58nWWcnFRHpwPw6TomsiMsRW61WzGaziHgJMC4vL7MnCc6p0+k0QAqnB3EGoXWsjpxxALY4V5NCgMn5+XlcXFwksP34448JbgZKE0a+72O9Agh2eG21Wn21zTSEIqTlcDiM5+fn2G63+Uy91fJqtcoSnV6vF8PhMPr9fnz58qWRPeN4Z5MAOoMP20UTrJLxeXp6aixGnGlxtq9atWpvz/Cz6/U6d5Wykhe/RuIC302PLP7my1KLu7u79AUm9iH8IyJ3Gjw5OYn1ep0LVHxhqfYFC6wGY+ENaVaWdkQ0s8NexDqQ4v8RkT1sIiI+fPiQc+HFtJMCkFgkMii7ANOsMiaR5EU1ZFGJM2dnZzGdTvMZffr0qZHA4nXfa6m+5vrcX6/Xa5TceCcyfycg7/r9fuI7z4A5wFarVZbl4POt+OOc5XheU6p5bjmeYNUqBavgHZhVq1btbRlrRSpc2JkRosLr54hoJGNdLv38/Bzz+TxjGrdaYd3Nj3EGH0LZOQlekyskazi3hQXER4zTSR6sJMHADbdr4fy73S57Jz8/P8fV1VVD3QXWQOaQzLBii/EzZ1b2Gns4H/OBP3f/sclkkp8/PT2NzWaTfSsd01j9FdFsjcL1wFVjEbtVGocRO0DEERMaZ4zvlIwSrxKn3dzcNKqH/J1jjMZunrmJT4+LezDhWK4bqFwqFYzVqv3fWCXCXrF9HAgnbxdPMIG81yx3v99Px2TlkReYzpxYAsxxLMbJPABCLn/gc4ANQIFzdjkcBFREs7eMg5nyBwD07ohWZQ2Hw0b2GAdIZsQBkB2yF+suA7L8mfGTxSBTTQDY6XQyq7Lb7WK9XjfIJKsbTGRxvBf1Ec3+XIy33EGFe4R4pHcP6oUyGxJx2EbaKj2+J9yrZeCMy2oPA+2xQMYlOM6eMAYrFatVq/b2jL9rSKeyfMMq1ohDgIJS6OTkpKF8Ikhw2bkbFOMzSDKQRS5JMIKCsrGv+0iZfLJ6wEqnMktsPIPot29mLkgwTCaTo+XhDlrALEpgIiLnEj/rgATz7876k9hCjWbcd6LLqgTMqrdj9+7yIvt337/vj/5f4A/34UDPvUcHg0Ge29nzY8oCk2A8R8i9cq3gz5kM433/VPVxtWpvy6yegkyyXzR+4OPoc1ySUCbqIW7AnGM44+QFiRgLAoxPYIl9OpjBOY07TkCYmC/9G74WdRhJJnCGmMbnxefaN3OM5xNSJyJyMyysLPFz7GW1GMqrEmeIlRw7RjSxq2wr4PvlWjyzcs543mCTlcXMqRV7qOSYL+MZMdix+/ezcAsax9XGqjLR4piHezomqqhW7f/GKhH2mu0PoOE+Lq1WKzPCDw8P6RC63W68f/8+ywCXy2U6tMVikaSSAYCa+dFolEos/8F7Zy7Yc5c3EswMBoO4uLj4SkpL5gWZLUTUfr9PVYEX9gAbzSf7/X7uELLdbmO9XjdKb1BSoW76/PlzOneuQRlOv99PEmu73cZisYjVatWYcmTMGNkAgyGkEpmK7777Lubzecq+Z7NZOlgcPBmYdrudKrZWq5UZGeYRqTAKQAA94tBbBucLsFh+7EwWJBnkYb/fz6wLn3G2g3t0A1DISD9XmnBinMt940yE8f8aoFSr9vYMVWiZdGEhSsLg8fExEy2dTieurq6y2e1isUhCfr1eN7CGRSaLT5f6HStXcBYWv2bVL+V6f6yswWX59k9cx0o2EjiDwSBLHu/u7hI/KdsYj8eNpr7z+Tz9ZkQkJjE+/Od6vY7ZbJbZbOYWbIw4+PKIQyNhMt5uxHxychKz2Sy63W5st9tYrVYNdRWYbQIy4qDAdrkiZTJ8B6wq8AYxJrxckmpVGWoKgjE/S8YNfpXBoYkwyDfG4qCFZ+0kju+7WrVqb9dYE1thZN9Ccv/x8TETzcQ0qMLm8/lXOLPZbL4qu46IJNDsh0gG8/8ycc5nz8/Psyl/xCH54fWtVWzGIny1CRrwizgEVZxx5vT0ZUMs+pahllosFhERuSZHJOA1Ongwn88TP0mEOLmE/yY+clk658afEi8wxojIeNK+OyKSlCR+YI4d/yCaMM6UOz/yuklJ+3yw17s3ci3GU64HTGJyv3z/3O7BCjrsGK44oWUysFq1f4lVIuwVe94dFqIQEiWr7kwKTsXbveMc2MFqu91GRLNUA7YckgjyhWyMGXA3ZcRZQjiZbTdAlI4t4rARgAMCKwJYtEdELBaLWC6XjT4k8/k8AxyuDYmFk3M5qQMJegWwgMdwtqWii/tyGaHVCJeXl40sDc9ms9lERHwFiG5CTM825gKCrayBb7fbMZ/Pc+42m006bmfSyS612+3cwROCiv49lgOXJCSfdX85su+WGZv08r+cr5Ro10ClWrW3afQKcRN3lyZGNFVQJB3wx+4rAhbt9/uvtnePOCxKIXjwOSzqS3VxGUTYR7KoLnukHCPbKbVAQc01WKSTjFgul7kLMlg7m80SXweDQYNAY06414ho9JAk2UEA6LlkXF7s8z7jdab79PQ0ptNpYvFqtWooojCrsblXAh0y7lZK8Fwc2JAg2u/3uWbwXLp8B0x1wobvAIo1KwOwMlniRJsTSdgxwtMYDXFbky3Vqr09M254HQzuuLrDhLhVWhBk+AnW644tOBacIYbBV9GXF5+K0olkCY31XTpp3DORZ3+Dsizi4He99ndT/GM4Qx/op6envE8r2UhcM0+QVo7xjJckoJh7J6+5V1f9eE7G43EjmX6M8HECwiIBcNzP0L7eLXacyLEKjTk/lhzieXF+FGJgjskwjxvsIS60gMCK5GNm5aIroWpcU+3nskqEvWLlgtB//DgpO2GUY1Z8udTCGd0yu8H5yES4jMLS0nLBbYbfi3quhSO09Bj5LY4Op4wzQr1EoMQ9u169vE/3VEEiDTC5/xm9x/iMiS1nlCyvJSjxfXCPkHYQiHd3d43+aBGH/jQGb+aacbnWHCIu4iANb7fbjRp7AtSIppN2/4GIQ4ATEY359sLh2PeOf+/u7ho7+hDQkFVxFod79f+tYqyKsGrV3p6RuMD/2Nf7b9f+lmwqr+H78Wv4opLoMdnuLcj5v1VNJkXAAZfNMFbGxLEOUEoihf+zqCZhRHCE0Yz58fGxkTza7/eNxsNliQeBCpiL+hZMcFsB5o2xMy6XlpY9zxgvmAjmO7lhO4Y1vp7XF9xXRFNRB47xXXGAQ3ABxrBGAWPK+7Xa3GsQ5o81TZmgKgMcn8PEYsWXatXeptlveL3I2hqccQk6OMPfOhjFujviEPt4fR1xWPu6xxT+0KQP62WwhfU4fgfj+mWin9JMxmL/yjVQ37qHc0RktUsZ00DEeZdeJ5Zp7+Ik0n6/z2SHSz9N5GFOgLv1AONG3YxvfXh4iE6n81Vyy/7c9woJB+aWOENsB8YZ560gdwWM1c7GMZfDlm0CSOyVY/H4nKQxsemySN+rz1WJsGo/l1Ui7BXb7/ZfNfMzAeO+Jah3/vCHPyQ7TwlKq9WK8Xgck8kkHh8fY7lcZslcRGTWAcdvgg2nQcmeAw+c2JcvX2K/3zd2kYS5f3x8jMVikVmbiMhdQhzskDGhPHM6naa6C+dJdpqf+Xweq9Uqsz7D4TBlwoDf8/NzSqgpNXF255g5YHImxdns9Xqd4MMcsqOYAaFUpwHojJFgkAwK5UkoLabTaVxeXuZzZC4hKyMOGQ6yXSbUUMmh+nBTfwdZzDOKQuzu7i7G43ECj6XjBnsHf95EwQuQatWqvT3D75Q7ZrFA9GKcv/P7+/v44YcfcsHtBfhgMIjhcBjj8ThL2VHTulQ+okm6mbSZTCb5Op+/u7uL2WzWSAZFHLLvqNCsBLaf9fi9EyRtASKigRE0pd9ut/H09BTL5TLm83n0+/0YDAYxHo+T4MKvc2y5WGe89pWleomAA9UbAYeJOO5lPB5nkqfb7TZ2QnbfEz8/P0OOW61W6bfH43GMRqPEr/l8nnjBd8KqAjASbOFZgF/l5jHcg8fGWoOg14kszP1wrHaz6qHiS7Vqb9tQxbrNhpMtZXIBlVOJMxBcx3AGMomYplTtmGw7OztLf4cyjXJEr5WdpI948XdUVxAruOSeewVniEmIT/Dj/M6uydvtNpViy+UycQZRgMk2fCxz8Zoi+hjO4MOppsH3bjabr9Rwg8EgSykRGlgM4OuUxJ0JLvCfNjrT6TSxnrYKVruxFuFZ4ucdf4B5xEPGvjLJYjGCk2mMEYViKTw5hi3geSXCqv2cVomwV2wf+4Y6iz9OK5isGColvDiW/X4fFxcXMRgMYjKZZJmle1XhyL0Yt/LMO3Scn5/n1sd2KhxDhoL3kfbC5rvO3X1GyKDj9Mh6EKRwTUith4eHRqD1+PjYUGhdXFwkUOAAuW924rTjNKmFAyTTEBG5UGd+UYCxNXO3242rq6sEN2eajvVqoUcBz9Pk0tPTUzpm5u7q6iqfB6WhAAEg7fp8Z29K4CrB0WSVVQDOwkNmtlqtRjkRc874XffvDFwFjWrV3p65FAU8iGju6Bdx2CnJi0SwwmXjEEtkwJ+enpLMMWnmrCzv4a+98Pauw4wFzOKaBEBWpNnX4pvK/ltgUkQ0emaBjeAhARwBy2azic1mk7vxTiaTRsn4bvfSWw2sKUsEjTUsqsEifCeZegLHx8fHGI1G6W+n0+lX5J+z4tw/9+tnajUVr/O58/PzuLq6ytddDvTw8JD3yXkhRk36Odv+xxRb3Je/hxHxFRHG9w0s4VmWKgerLapVq/Z2DN/k/pFOLlsN7D5eVizbz4/H4+h2uzEYDKLT6SSJhZk8cgWEYyire9frdcN/OpGAuMBxBgpW9+6ipJ97cV/KiINCCTUbjfMjDkl3SDawBsUyyX6r2JgT4pnNZtOoLsEH22+Wym5iDCcwuA5JF67D/VlhBsEFJrhqJCK+wgCPCQxrtVqZjGMMLm/lniGuyjWL4xmTYBi4anU69+/qGa91rHLzOsXJ/RrTVPu5rBJhr9m+uRU6Drys7SbzYcdgxc/z83OCRavVygDADgMnUC6Qy2wKAQSBjZ2hMzFkyXGIOEgCFYKc8lrcJ2BJfyzGzLlcQuEMBYHW8/NzOnPOW5aSWBFl6bGlyM56RzRLcBjjYDBoqPBQi0FEWb3A+d0zDAVAmb0hOOGZ0mSTwAgQ846izK/7jjk48Xz7ufpfzs3z5v65rgO5UnEAaHEvgGEFjGrV3qa5nINsqH0CwQq+xWpZE9/4WfCIBA2+3z7KC/PXrFSPleQ9C3AnhsAhsMbKafDBJTFlWYyDI/etBC/wtyRfyErT0J7xEPDRk9ENmUtMteLJ/hVsIEB5fHzMzWUokby7u8sNZTieZ8F9lqVB9s8ek+e21+ul0sxZfWMNz8CEZlnqWQZBx757x8yKYuOhr8uzea2kt1q1am/HyrLBiK83U8I/s+6POPQkRPXEcU6ouPTb6/hjqp3ytbLHIWvl8hiuZSKtxBkUU1zHiYey/BJ88frZhB/Jl4eHh+j1eqngcukjhBTJECdcsJKw8X1yDoQHnI9YEZKPTbZIKDk2whd7vo0zToyUyS/OScWPq2Icu5mILEkw7I9hjBP6rA84jwk6P29wxAmXSoJV+1NZJcJeMTPcbihZqpzcE4XP4KR5nebq6/U6yQmz4WQd3EsMJ4HyKuLQCNcZYrIwZEVYnB4DPhNnZM0Jvqy+urm5iaenpxiPxzEYDBrSYzvdiMhSyeVymaBCiR6llr/+9a9zHsm0AKo47ZLgOZZd9j2hKOt0OlmiMh6Po9/vx/v37/N6lKCQDXJGh8CRskp6Irh/DoDY6/US8F0Kg0M/OTlp7HRmubCJUu7PvcRK6TSLCwIvgj7mhcacyKdZSACYkHCAZJURV6v2Ns2+3gvWiIM69tgi00pgEzf4RZeVOFHBuU2IRRwUQdvtNlXEVjeDNfgdyjrwSVaeMhb7cZdKMF7K+na7XUNBUAZmLODBjlarlXjT6XRis9lkmeX79+8TT8jsExxxTpNJ+G5n63nd5TrMObt5oRDwfdCj0ll58AZc7PV6iQtObqDc2+/3mdzh+TvpAo6gdCNTb7KvJNkciGCMmzlm7WFSFqUAz5YNE/b7l/YC/u6CNdWqVXt7ZsUnf/ul/7aVpDfnwKhQMM7YBw0Gg4Zy2IlefCs4g6KMdS5rXfx7iYEeB4nuEnechG61Wulb3SsMDOQH/++4CuFAt9uN1WqVfv/i4iLjHMZexolgjWNJz6vvwSXs4Azj7ff7cXV11SCq2FAlIjI+czKp3+83iD3moVSQWyjBOKwwprUNRKGT/8dUfseSK07U0bbH6muED6UKLCKyz6dxpla5VPu5ra5cXrFWu5WLTP4IcW5IVL1gdJNiL7ghJSyZdUkCIOFtf3F2vO+dr1qtVi7uDW6ASEQzkGCRDbtuZ22yhHp6HByNismiEISsVqtURnEtK6+Yg+vr6wQR7guCjvtyoGYpr8tEAGjuwfJldhUbDAYZMPA5JMXPz8/ZTN917AB4SRbyXsQhaNtsNrmrDKBgEotrQ3SWqg4TfVYI+NoOEB08mWwrFXIRkQFYxKHZM3MKKFbAqFbtbRp/6xHR8KMs+OyjnDiIaPoBJ2YiolGmUiZxCEK8AI44LGjBq/1+31BUWcVsdQDn9cIfX+17MgmHT7SqmGtvNpvYbrexXq8bKlzuxfflEn7K95kzZ5w9Vsbp4IBjPJ+U8lvRCzaTRGq1WjEcDhv9aMqsOffIs+N9ry2Yg9PT07i9vc2gxyWHjNNYU5rbODir7zJG/27C0USYMQzsQRFQqkrcxqFatWpvz1A/Uf5WrsOtHHZC32vdiGj4qjJxYyLn5OQkSX/7W8dLx3AmolmJU5ZyOkbC73BPVk9bKWZMi4gk2ihnJJlfbo7iShTubb1ex2q1ylYt5Wfc2gVznEZZpt8jCWLCx0o8CKDhcJhYQkxjnLG4wH0hPc88+/V6ncQVMY3VV/xLwsUYRCzMvwgHTDxyLbcK4MctcTwPfM44Y7KNc9fkfrWf2yoR9oo5g8EfLg7cpSU4YC/uTZZYlouDwkGYwcfBmfRyCUnEQUVWZrmdZfEC2BLT5+fnhlIporlodqkKnyHTHBGNbA3kXllKYvWcF+MowwyqperL8+3MAPeOs3f23Y4fYEO1Ban3/Pwc5+fnmbUhw0FGnkwWQSSv44h5bhGHsk33KHCw4P5cVs85CPPONSwSIiKzMBHNBvgGL8zfK6652+2SbOScJsIqaFSr9vbMPhSy3n+//I5/dVkInzMWGa+sNDOx7vITZ9GNAZA03mjFvp5xlkph35N9Nrh5rGQFPOR3/Dt4w/1g+EJ83XK5zM+gvOJeSyLsmILAJUKcl/cgvozbjBEFdKfTyfkFY1GSgSlu7uxn7VJ79xVlLp0UMVllrHFpKnjpdYC/P6UK2dhgHC+DYrDQRBjPucTyatWqvS0rfZ5JqYho+CX+7h1D4LuMDZzLmGAMwae7jDDiQLCZ8Cl72zrBzJrbFR0Y5wDjrHS2P+TenOR2UuNYH0knqRkbmGS/bzw1YWTsPpYo8LxFRM6BfbXb8HDvxDjcj3HGsUpEfKU+Zr55psYZ8MstC8Bfl2Ja8cZnHc9a8OH7N9aUJKq/c16j+PN8NyoJVu3ntkqEvWL73cuOUSzIIyJ3TcEBkI0GRI7Ji82Al9kL994yQOGg2+12Zpm91a+VX6PRKJ0GTr7X68VoNEoHTzkJCjec3HA4TGKGhTuBBGDgnl4AjrMNgKPZf6sYHh8f4/Pnzw1SiB42ZPs3m01jjgAy5q7VamXdPIQfDSqpzadPC47y/fv3+TzIwljOjboNhZ8XABHRKCkqbTgcxnQ6jYiIxWKR84PKDHABGAASN5hmzlkgONDlHMwf77Po4Hx8nwCOkjhFIl2DlGrV3qahbiUjTSmad7R1mQf+yiR8RLNs3Ioj+9RSXWRiB/UupebgFOdgN1s+50w/27EzfsZprODYiGa5Oec1+YUSDL9aBm0mY/CvJIh2u13eC8ezycrT01NigP18OT73ZnTSheb7tCEgcGCXTQdplMrweROH3IOtLE1kTL1eL3uGocoy1pg0deDkMlP+NW77e1EGiybBeJZW+FkxRpDL94t1Q7Vq1d6OoTjCF+EnUGaZmPLfspPp+CUnVCIOG4vgR1jn4/+dVIfEoayQY/AtZ2dnMRwO83WSAyS0Iw5JeYgU8Ig4wUQO6mc+S/xExQuYw1hYgxtrIg675xJnMVarctlNESxyPGGsLhPr+/0+4xnwj17H7hfGpjBUCREHgjPb7TbH675rVladnp42elpabcZOzq1WK78vFjaUCTgLQIwZYE2p6GJerbDGTByWyTq+h3zHrHSuVu3nsEqEvWJlBoPFZ0RkbxAfR4bY5SEnJy8N3B1weOcNK5wc3OCcIppKAI5nAert5nGgEZFOGICjgT2BDot6gJHPUYuOc99ut3l/3rKYnSS9MIfYKckk7gFgInsAODrLzByZTLLc2RJsrmNyC9AosxflbmMEJ8wlz5XP+Cei2aSfeUHh5gaWOG+CHoJCqwYdIJaZD4NFRLPhqAHVag6DAVkqCDLGVzMo1aq9TVsul19tOGK/xAI+okl24UtYnO73+8QCk+sug3OyxURWxHG/ZyXY2dlZlrq4jAWihMV5v99vEGEEBfjozWaTbQR6vV4jiww+EhA4KIs44LBVzTbmDnNiyv7WiQUnXfi3VFI5qAJrIcMow+c+wBdKbow1jIlz+5oODIw1u90ufbhbMnAfJkrLtQPz6qDHwQW48JrK2eM5hkNOCNbApFq1t2v0yS3L7zBjgdenJtsjIhMfJc7wHv/iL73et4+w33ey5PT09CucKYk4V3z4PUi+VqsVm80mz395eZnn9uYnTvIb98oyvoivG7U7qYAv9LxZQXssGVXiTDnvzB8+mR0k+SzJGeIa7oW1Q9l6x/dn5TPHRRx2+iSmiYhG3zebyTH+f0xJXCq5XitrLD/jdQnX8HOqWFPt57RKhL1ipXy4VEKVMlgIHBwii0vKHikzwfEYhAADFGYRzUW8sxRWDZ2dncVgMEgCir4wBo1Op5PZDrLkKKrIINNIcrfbxdXVVTobgx2KhWNlLs5sOBABNEzeMT7Oe4wIYw4xB2il5NgKNx/LHJ6dnWUTewADxR3jcva8BP4yS+Hg0JJtq+34vhjYGJf7sEGCca+eIxSDbFntRYTBBrAGWAEzyDpnhqpVq/a2jI1UrFIikGi1Wg0iDOPv3n7KZAYJDmNXxNeJCWf4vcg3YR9xKGXp9XqNhTPGeWls7NKIY+V/m82mQeibeGPs7hvmxXw5Dy6vAGsYU4k3ZcKCOTepeGyhbeLJwYMJNc8/5SpgDf3E+IyxnGw64zc2OmGGH/d9MWdec5hwK591qdRyYASOubyGz5u481qk/KlWrdrbtM1mExGHXRkjmr2rer1eHsva0v7ZyWUrwkiWc26rfvBj+Div403E45e8hnV8VBJoVDoQC1g9Rkxwd3fXEBZwPSc2UILh81zWWeKHx+u5AzeY0xJnwIhjCl2Pz8aYmAMSR8Zrl0U6pgFfjJ1WrZV+2t+BUulFTFOuFxzn8cwcy5jEKtXDJsKOkWHl98KK5WP3U63az2H1G/WKsXDnD49FIKUXEZGKKytxWq1WSkzZyZCsMCWCOEgIJeS8AAi7lOCgcSYuTymzvrvdLncQHI/HjdI6yDJkxmdnZ9Hv9yPi4KyQ1y6Xy7wG/0LikXHhnlGYkaFxvXlEJDjh0JH6RkSOxRkS5h2SD+UZ4zQ4oURzYMOuXZTCnJ6exng8jh9//DEzJ0h+HZDwHMsyEd+LVWO73S43DXAJExl7gwTg6wy/M0Il4cr8nJycxMXFRaOJsgNlFha9Xi+BeDKZxOXlZc7zYDCoMuJq1d6wOXtcLsQjIpMXJru9Acn5+Xnu7DsYDHJxfHNzk4QSSRoCCHpoRUTiVkSzB6L7XUUc8ADf1e/3UyVW9hRBtUUZiYkxiCTvhuyFtomk+/v7vB7qK3wmSR/8tVXXJvSYY67jIM9ZaNTcJcHIXDgh4jKcdvtFCc0299wzZTcOThiDAyrGy7202+3Grl0mBN1j04q7UpXA87IKw4m1Y/3HKEfa7/cNrMNYN/Csy35wpcKkWrVqb8dM0JiEsX81CWE/2Gq97BjL7vbD4TB99PX1dfbgJXZxQtbra18j4kCisF43wWJynvN5LV3u3O4WIvh32gys1+tGcpr469guleAMqihvOsM8HuuDTOxWquf4jMtGHcsY5xlvRDRiFHCG2Kjf78fNzU2jjQBCCieYynH7WhCGHPf4+JitYkho8T0wCRbRVCz7ujxTjnFsd3Jykuppb8JWGsk/MIVn4WTbsc9Vq/YvsUqEvWLtkwPzDOFQLppx1PzBw2CzTTr9vXCwOOTn5+ckbChv5I+bRTBZ4IgXp0IZyW63y+xORMT19XU6Jq5VyogjDv2i3MzXGXECpYiDs6cvGQ7Jkl0AB8d+cnISo9Eox+X+NJjLNshalKUapXTWC/9jUmIHNw54rq+v87mxgPd5DPS73e6r/3MeWxlQGLT9HeCzgAHPIKIZ+HqhUQZi3W43JpNJzOfzr+6b5wphynmfn59T/ebAq1q1am/T+Nu2zyszoA4YCFocIDhAAQfoIQWJ3ul0EgO4ppvzmpih98nJyUmWW/BeRCQeeEHKYheCCL9TqqdY6LIYJzBxWQcY1W43Sx19/+AcC/qIZt8t+18rwmylytaY6eCGczsgsDJuPp9nGwSXwB/DMysjSrNaoMSSY+MvzQSV58OY6395xp1OJ3q9XvbsNNaYGPUawIoFntMx1Vm1atX+9Q0SChLfa8+IAw6VJeL8611xWVOfnp7mWpMySHAG4gqcwXdyXVeWnJycNBLm9rlO1EQcFGHEQsYZV4iw7oZU4fpOzNg3G2f4jHdW3u/3DWUv5mQDY35NeYuVMY/HUpqTEuAMySeTllZh+brgiJVnx9S8perLSRVjI+8ZZ8pEU0SzosnPgvWHMRHz961URpdxX7VqP6dVIuwVMzMeEbm4d78nFoh2JICBfyCb+v1+HjeZTBpqKs4xm81S7eRdHskGO/v+/PycLD4qAQOESRjvcGWSa7fbNT4bEV85fuYCp+yAyCTSYDBIQupYCY0dpRUAvBfxtXTXAIWjdNbb5lKV2WwW3W43ptNpIxvFfDj4c2+UMoDiu8C/lmMb3K28KgHNjZstmzaJ6AUI881mBi65ZY5YbBCcMO+LxSJarVZcXFw05rVatWpvz0iCODAxaWJixb2iIIQITghQUPSw8clut0uyDNUYvo3dFp1JJqtvxSqLURRaHrPLZyDmIg7KMe8+WZZd2N+6rNyl92WyxEQggU9JEnnhbhWAsYS5xsrkR5mxL83NlZfLZXS73WxtQFKDeSx7ppUKXeOiyTDmpxx3GQT6sx6v54DAwwEMz8yKbp4L5nUO3wcCaube65pq1aq9PTs/P4+zs7Mkuu0rWAvzt+91KT6C6g9+8ME0V39+fs6NPSDNIg7VE8Qx4MzT01PiGWt692AsVWr2kSaN8NEQ8/hlx2hee7NWBkeZEzAQQo37hpRBPGBzEt5EEgKDknjiMxGHnYm5n2MqLsdHu90uFotFdDqdGI/HeW+OPcp7LZPhjgX8HSjxxEn6Emf4nFs2WM1XrmUwf4f4noFvJba7UgbykuRbjWeq/SmsEmGv2OnpafzVX/1Vo86bAOP29jYiDkoeSAtKE8nQ8weN033//n2Mx+OIeCkTHA6HCR44kk6n89WOWff39/Hly5eGM+X17XYbvV4vdxQh6CBogUg5PT2NwWCQYPT+/fuvWH4cI5JhL8B7vV6eZ7FYpANm56+zs7MYjUax3W5zR8bSGbtxMKWYXAMAYqGO4zf5Uzp/gLSsywdsl8tlrFarBA/fD71oAFBLkp3RL3sVcAzj8vvOguDQmSM7eu6d7xn3YrUgu8KUPQxQXEyn01QgoPxYrVZ5T8/Pz/Hu3btG74dq1aq9LaOEOeKwsHbpBuWDZILxDYPBIP/FBztw+fDhQ/omdhGmZD/iZSF+c3OTpRXsiEgJfMRBKWsFEKpjFs9upgup4lYBnU4nPnz48FVvRX7wcdyDS++tovb9g7H39/eNICvi4JspayGYcBk9eM580euG8bkMw4ooY4yDKoiw9XodnU4nRqNRvo8vLvu+mODy+UtFgYMqY02Z+S9VHCY2nXTx56zodp86cIx7Z11z7Pvp0s4apFSr9jYNDCCBgD9hrQ/OUI1gBTExDjFNxAsedbvduLq6Sj9IHNTr9ZIcf3p6itls1tgd2bs1RkTDfxhnINnw5ayD8ZeMIeLFh7579+6o6omYxpUwpfJ5tVqlDy3Vb8xPiTNuyVLiDPdhome/3yfO4IvZ1b2MD5zc5tzL5TJ6vV5uODMYDOLy8rLh531/EQcyzefHh3uuTOaVxBn4bhWak/vESS6RLFVdfG+I+Rgf5+N+yhYwlMByjygNq1X7Oa0SYa/Z/lBL7bpwZ7Ijmo3uyWC4MSXAggMCiMhG0NMLEoQmj6enpwlONBiGMPFOgPv9PoELBZszwe5p8vDw0Cjf8ELfRBjb6zp7zDEARMSLExuNRglMKJhOTk6SzHOWJOJQ+gnLn9NdLLJdHsR9ApyAYkSzjMglm4DI3d1dlpWS+Qa8IuIoeHE/9GkjQ+LMvsfNv87mu18BGa4y0CGoox8BgSXn+PjxYyyXy0a5CsQamRU/ZxYXlohXq1btbdvT01P2BvTisyQtWGje39/nQtQ9rHa7XS7u7adY0Pd6vZhOp3l+jme3Sfzqer3+SvEMIQbOkBEGVxzEoASzysjjLcsiwFWMBXG/30+VcavVSkLGrQfOzs4a/bisDiNYsS88lsGPOOzg6EW9F+IRX5e4cD6wg516wVZ20ATTOa/bEpRK7WM+uxzra+/zPJivUkXhpIkJwYjD7qVW+IH3rANMlpX9eEqVW7Vq1d6O4Q+caOZffLYVQcYWK8YiIuMW/BzndH+t4XAYEQefcXp6mr2hvOOhFc7ENeCMS+idQMB/cWy3220kgfBdVh75/vFTlBhC3DFP4EwpaqDHMDjpsRhnSqUY43b8yNyAMyU5VKr1eFYk0akiIg4gpgKvrJQm7gRnIJbKxMVrpZClio1YC5zgXP7OnJ2dJenFM+ec/G4CsOyT7WSTk0HGtmrVfi6rRNgrtvvfzoM/1PIP14tAMis0S6eEkEADFts7+LEwRV6MQyEIIDOAXHc2m2WG5uLiohEAmQjDCaIOc9Ye5wGZVfabwQHjbL3wR9Y6Go0aTewNQmwQcH5+HvP5PFqtVjo9E4r8eD4jju9mFtHcudHZoYhDAGMZcUmEEWRaFWenHhGNBb6VXIB3RHzlgHHKZVmNnTYZc87p4IPvBrtDEkzxDCFAHx4eGqUtNMcuiTB28IGIq0RYtWpv2/A5Tm6YVDChZZ9HYiXi0DsLf+YydxbLzvBz7NPTUwYv2+02lstlltsTmLDxCnjEuUgoMC78Nr9zDUgrE2sOBsAZyl/AA3bXpaQSxQHn4frn5+exXC5zAe1+YaiwnKlmziFvjOvMF6QjqutjRBiBmFXC9/f3jaRLr9dLfwyO45sZR5mgcTKHY459Z0rfDm7zfklKOUAx1llNTZLK5bjOwBvTTDgeu161atXeltkXObELZjiewe84gYu/AzdQBlnZ6iS7y9fx26irnp+fY7FYNCpqqF4pibBjOIMPw+9YIFDiDISZcaZUlFmVzdghyWgXsFgs8n7sp40z2Guxguff5aAWC3APLlF0nEIijOfW7/ePqoWZN8YPJhEnvBYfmMzzeTi3EyXcG8dyHTZQcIKMmAac4RwQdB43BNofw5lKhlX7uawSYa/Yfr+Ljx8/5v+t5mHrXspIcMr0D4s4OCMcQsmcowLb7Xbx448/ZnbbGWU73U+fPsVisYibm5tot1/6cdF4kFIVlzYMh8MEts1mkw53uVzGZrNJAsYEGE6Gchlvjdzv92M6ncZ0Oo2rq6tGUOCSR6794cOH6Ha7cXNzk32rUBEYXF/m+rAxgLPkvV6vUU4C0FjW60y4zwERuFwu8xms1+sk13DKlh7jdCGc3r9/H9fX1xHRBGGuwe/uYeDsDe/5HgzIANnZ2VnM5/NsVrzb7RqZuNPT02x+DeB70bBarWI2myXwOBPGWCpoVKv29sw9tCKaZQoRhxIDjqNsAgWyN8s4OTlJ0tykkhfErVarodQi4+3kwfX1dWw2m1gul9FutzNjTnm8Fc74J3zcdrtNEoqNPu7u7jLD7ow8pNtms4nVapV+vdfrxXg8juFw2GiW7KSTM9yUVjJ33CdEk4MMFvHggJNJxvhjpZb26SRXHGjRpoDn5TKP0nid9gXu6Uj5jDHO9+L3ynMZa3iN70N5jAkxJ7SYF74jvga7rDlLb8VFtWrV3p65ZQrmdSH+nCS41auQVXyGUkOXNLZarVRVQaazRgVzvJEXpfkkYCKiUbrvuKZMCj09PWXVytPTU7ZqcRP/Unm8Xq/j7u4uVqtVEn3dbjdGo1HGK6Xyyu1azs7OMqbB34EzJCHKRJDjKrdAKXEG34lfthDAYgBiGnar55makHKSolSZGWd4jmUVTalgs/k1V/T4Gk6QWfQAfhGfYNwj3xOLN9w6xyRixZpqP7dVIuwV2+/2uah3prbVasVoNGqw4mQFcIA0YGy321kuERGNskfvBsL2wRGHco6IF8cyHA7j+fk5Li8vs4eLAYtgx7uj4FBcox4RjTFyXWd5I16c13K5zL4xnI/xPT8/Zz8XFtVeHKMc878EaxA4EFp8xqQamRiuCTCYPGK8HjfzhaP0Qp7PA+aMBedMYMXclBmlEqSOAUREs9Ex/x7LYBhMnFkBKAELk2WoC60Eg+izVNtzwTUNcNWqVXs7xkLYf7+8FhFHFTnOtEZErFar9GXum+ieXfgySggjolE6EfFSKnJxcRHT6TQDBxb3j4+PGdh4x0jKIE2+RRwSDaVPxEgkLZfLWK/XsVwuGwtofPt4PM57gATDX+OrvYOuiSCrqslCl2o7/KtVWh6vgyknXcBdsBeFBHNAEBcRDVWDlWRWL7jHGwGH59OL//9/1Ffcs0tZOIfVBsZW462DHQJkMLck4yrGVKv2Ns19p4wjmPtxRTTLoPl7J1mD3wK37IfxYcca0OOLSHRMp9NGTIN/xxfahzrZwjqduIx1dESTMMGHPj4+xmKxyN7F3A9kjpNGp6eneU7O696LxhmIMHpbugLGY3FvLZNgpfo74qAQN4HGOcBBjgNn+LxLWe3DeWa+DwszPF7sGMaU4zROWR0X0WxZQ6UU9+r7cIwW0VRyl3HWsetXq/ZzWCXCXrHdbpcN352xxyF5619nT3BckFRkrSNe+nBQWuLdW3C8ZQkjjSdPTk7iw4cPqeaKOJBaAJh7kJ2fn+d4TTQhS8WxDgaDxgKbbMNms4nFYpGZGpQGlBpeXFykkmC1WuUmAii+XIaBHDciEticsXZGxKDheyQrw3w7K+6MQdnXxhkV1A92xhGHLFMZmJBRYl7c1+W1zEQZZB0DEysUvLAAOPwZ3y+NIgmMAdT5fJ49F8rrMEe1RLJatbdp/N16i3leK/ueREQuNl2KcXp6moELZfaopEhG4F9Y6Je9syhpn06ncXl5GWdnZ+n/8fsuhzGZs91uMyhinA5QXHrPmJ+eXpr/LhaLWK1WsVgsck5ooA9WUXJPwsW7ikU0N60xuee5NNlorHHQxFwwVy4hLRMgDtZK9RSLfwczXBMCkNdMVoJbDgoYh5NjfyxAOGbPz8+NxBvn4XqlSg4S1cESeFWSp1gNTKpVe7tmUgpfhk/AfxDTYGAK63UT+mDBw8NDo4zRRBjElZM8VKKAM+fn57Fer9PHIBxwMoEf8KCMaVzyWarIdrtdrNfrWK1WsVqtYrlcpi/GnxGDgIEki8AZq7KI58rSQievyqS0/axVWo5TnIgxUQauuPcn17FoADyzGhq1mAkwf8ZkJxhQlkHa/J7HaTEC36lSCYc5piF554oa1hq1tUu1/5dWibBXjD9KHJ93+1ssFg2Ci9/JOrPDyOnpaSyXy4YTYvcuVFI4TBbdi8UiA5XPnz9HxAtQjcfjGAwG8fDwENfX17kDix0p4+j3+/H4+Bh3d3cxm82SdEOJhpNkl8HtdpsEy2KxiMVikYSb730+n2dT3cFgEMPhMNUI3Id31aRxO6qC7XabQRTkmFVZgCbg9vz83GgoH9HcApn/M0fuPUMQRoklhJzLJ3u9Xjw8PDR2W+RZWElG0ML5XS5ix28pNODg8UJoMXZvbsA8UApUZnNGo1Fek53UCCZNGDro5Dtcg5Rq1d6mlSXTLBrxFTSuJ0iBiOJvHiKckkVKUCh/xK9DCKEWw3e4dAG/M51Oo9/vx2QyyZJrlL8QaSRCut1uDAaDuLu7ywQQPWHwPzRFdpPc/X4f8/k8y/CtgkV5tNls4unpKUajUQwGg8aOWJwPJZmJRHAEHzocDhtkkpvq8y/l6KizSnIJjLVKK6K50xn3wI5nztYzf8vlslHaYxLN2XoHpL5+aaXKwISdFWTGYV63gsPBCq0fIO0IdpwM4ryehxq4VKv2Ns1Kr4hIf4M/3Ww2X60/SfLzPu05WJPzO0ph/J19MK073AsL4mY8Hmd54nw+b6z/8XeQUxBoJvSIsTg3Y3bli3EG4ov1MWWVtICh3Yx3NsR3uj+Y783tcCjPd8WHSxT53cl2xlKWUlplxb2BFyYjwXkTf/QW3u12WdVETBNxSLyXSZqIQ1uZMl4gpgE/XFpvIox7tDIbPOV6mL9fzJXjP1/bpFytcqn2c1slwl6xVhGUmECxsyoVQP5jPjl52T2RBa4VPZybzASOCSfAwhnnSKaD/mFch6w3wRBOEnCiETtli1YB8HkCjoiXWnrGYGdtosh9arwAdtaZsZ6fn2cmh2s6o2EJr+fbBBfvuVQxIhpAxbld3mHHaykv5/SOWNvtNk5OThrPwtnvEjwwxskzgihzzwAf5yAC516qO3iOBL3cq3u68DlnTpzd59wOkqpVq/a2zCWG+KiyLxO/s6DF8E/4PTYGYdcu/BuNaNvtdqzX60Y2nYUo5Y34WvAGDCLJAy4xXmecKRF0PzCr3Pb7w86/kCz4Sc7hIIcFsnfdNdkDjuDzXEpTlv5Y3etkhs/DcQQNPhf3arUWi/7yMy7T4b680+Zms/lKhWGFgT9fGt8JBwZWVZdqsmNkFfhhVR//LwO3slfaazhSA5Nq1d6u4aNcynYMZ4wxXksT00QcdodkV0X6C7JZl9Vb+GGry7ymN854l3lwxnGWY6FjStqIgxrLm6a4964redzfmc3OIAdLtZPX1iXOlO1ZeN1YXcYsxBGo6EwUOrHtljWuYjFxxWtW0kVE9posFb6Oacqxcr5jOGOyDdzzvXtsZWsej7nEGSuuS+W1q288lpp0qfZzWiXCXrF2u5UZiMfHx4aa6OX99lcL6IjDAtyEEw6P3f5MoOGoB4NBXo/z8L6JI3bhIrggiEEGSwN/Gtp3u93MCnS73UbQgxPiMyjFzOS7nNF9wspmhty3gQLwdQ8AL6jZncUlNZZfM68m1Uxs8TnO500JLCkGTAn6AFGyTSbAeF4EZACliThUbQ48kFZbqmwSzL3OuC+ORUXYbrcbvct45hGRGx5wDs7p7xnjKAO9GqBUq/Y2jQWxF4ZWEmHODkNCsWjGR+F7Kd1AsVwqZd242EpVK2Dxke4d42wz/na328VwOIyIaJBgBEslPqAKowzf/byc6CgDorJMo1S/4k8hmbyoLjPe+E/m0WQWvtONniOigbclScTYXVrEPRJ08Uza7XYq5CLiKyxxUFImNBykeGy8Vmbmed/HukwSrOE+wNbyPo8FKKVVRVi1am/XwAartYwLHBPxtZKUkkX7AO/oCMHv+Ojp6SnX1lbw+MdKWCpE8DsPDw8Zt+CPaOXiz7k/l4keJ1m86RfYhHqZmMBKNOOildpOdHBO916LOLQzcLKB1/1/E2GeJzCWcZXY7oS7scu4BY7TeuXp6amRcMGvm6gz9jqp4WfqZ4tizz7fqjOrvByHMTbIR5NgJiAds5gM4/81rqn2c1olwl6x3W4fg8EgSxAp/Tg5OcmSP6um+OOEkYcIsZSU0gjUWTgNHBZ9wnCm4/G4kb3HMQMIEYeG8/P5PCIilWcmWGazWWYiBoNBg/0HyHBKbgTpbW5x2lzz4eEhbm9vM3CjOT7B02QyaWQM1ut13mupSAO0ONbAwDjdl81b1CONLgmh4XAYV1dX8e2338anT5+yDIidzziXVQpIsCEsIw69biIOsvKyRMUKslIlaPUY3xdAkHJHE2YutWSudrtdluMSsDEurueMyW63yyDY2aVq1aq9LeNvuCz7iGiWMR4rnfTfvgkNyJT5fJ7+Gd8AlrHABb8gvFjE40vxI/v9PokrNlM5Pz/PUhJjDb6YfmUmoeiPCc45EOFevIslO52BbwQOLgGdTCaJt/v9Psv1Kbl0mTqlmy4R8iKb11zqY8WXS2J4RsPhMC4uLuKbb77JHpv0A6U8FdIJpTi7o6Hac1CFcbzNY3XWnoCD58e8gzXeXdTfPc6J4oA5x5zEcYDiYMRkarVq1d6e0UYFn4QfjGiWqEHe4/9N8PB//DXnpY1KiTPeRAT/aUywH/ZGVsaZzWaTyX+wcrvdZguZ3W6X8YB9ODGNk/7lOhhBAbHO4+NjYocxAP8JzhATrVariIjsceaEAedjHk2iWdlGzGTCrN1uZ0xDbHJy8tLTeTKZxNXVVazX66zk4Rz0abYirtPpZDseyCsw9VgiDGM+S5UyWMh3waIDE5rELqxLHBfx/XIsGBGN75VJL67DvDlpVK3az2GVCHvF9rtm02L/IdqxOnNtx8IfKgtUZ5ZxPGWW1kBErbsz07xPMIBz43U+62Cp7B/F/TjYeHp6amz77p4w2GAwyCAAoGLB7Sb5fJZ5MsA642ClAHPgAIzMDJ9jzvb7lx5Zngucs50o4DkYDBrz7rJOMmSURbbb7RgMBnF5eRknJycJihGHYKPMVNgcnPJ9cBDGZxwc8d1xeQzz9/z83ABZ7tNAUAZxzC/HeXvkatWqvS3jbx3/Y+LcC9FS/Yodwxz+792vXHpv0sy7SroJPv7dZf1+3T4HX0yG3Ytn99zyovv5+TmbElttHBGN5IaVCGAdGfJyvjxvJotKzDF2Y/hbY03EIdFkFZb7dRHc0TPTuzrjh13WAh632+3sfRYR2YMGn36s7MRz7rHz3Mu+KoyVH+MIn/dnjFWlOsT4Vc6rv3PVqlV7e1burmhFcESkjyOZf0x1Y1/g390zixjD1SP21VbOutKE9yHsnRyJiEas5DLCiEPigjjEnye28mccm4AzTjozFvql4e/LtXap2PU63q+ZLOJ15ptjqcQhccV9+f57vV70+/3o9/uZ5GFcjh1I7oMlw+EwRqNRtFqtRjxhpdX/KYnB+a0o8zzwDIyNYFgZ7/Eax/B98ffKCT4+x9qkVK1Vq/YvtUqEvWK7/WF3Jxys1TheTOMcMJcAQtZYsWMHxvEswu1sXarXbrdzd0bX6Lu8kV4qZAi4Ttm7BMIHe3x8zLI+avWtZsOhsvPKzc1NXg8lwenpaWPrXBze/f19o9zSGSWcsQGCc1hCW5JkNzc3eT8QSmSAIpqg4ab8BHI8F5oCLxaLJM4uLy/jm2++iYiI+Xz+lcM2AfXVd0bgUO4yyb3yPFE0lHX0gBnfizKTxzMqVQkm3yIiN28g8KpWrdrbM3AAH+3scMQBK/i9JHCczUVxWhJh9/f3eV6y1RGRmWerh8jgQ1SBCzTHJ2hwwsZBRUSznwpqM2eYIZQoyXeJBIHLZrOJ9Xod8/k8gxWUYPhL/qV0siz7KJNP3DOv2fdaBcEYwDwMXPVzQ9nLz/X1dd6H/TGfo49br9eLq6urmEwm8fz8HLPZLI+FCDQm2PxaqUTg3nwsCusy2HHgUWbdTXj5fCURVo6hBifVqr09gwTDx5fJ8DJpin83AXVMiWPFspMZ+GHHPVbfMgbwiTYpxDZgl6tuLELgvFbs9nq9RizhUm+S9yV2EtPQR4ykBXPDeEm0o2Rz/BLxtZ90mabb3Zh0ohyz1Wql4jkichOaiMi2CScnJzEcDpPUurm5yWsT94DXJPfZIGwymcTl5WXGOjzDci7LuSkTJlZD+375vBXUtjJBh/n75e+hY+AyPuJ8FWuq/ZxWibBXbL/bZzb45OQkptNpkk9IdpfLZf4xu3yCzDvEFYvpwWCQf+w4/ojD1sZk3mlY7+AIAm42m8VyucxSRMr4aEp/dnYWk8kkS1YIFCIi6+mdqcDBUWZyeXmZgcn9/X1KcNkxkl2vyJAT1Oz3L5Ll7XYby+Uybm9vG4Qe84PqgHuOeHGCJdloAI54Ib8wADvi4LABSsZEYDIej2M6naZ0GNIQVRmBAgq7y8vLBLuIyN2/mA9AkOfFORiLVXYmSEuVwm63i9lslud1QOYtrikJHY/HCaJlgMX5ID2ZZ4LJmj2pVu1tmv0FfnI0GqU/22w2WZ7vhb/9pFW8m83mK1KH7DaKKpMd7tMVcfC/3v3XJeOnp6cxGAxit3spqR+NRkmQ8Tmu6ZJvfNp+v4/hcBidTicmk0niJFvcU7qJ7yr7iIAbzNdisYjb29v0/ZBtBHqUtzjYw1cagzBKcsqFOM+K5+Jd06bTaVxcXOS/BGAkIlAcc06IqeFwmKpkqyEoXWKMpSoLM/H1WnDA6+CAn0OpBDCG+pwOnI6pz6z0q1at2tszJxlYb49Go8QcdlWkwbqrX1hTsv4lGQKBFXHoG8X6viTB3JieBAJr3eVyGfP5PHGm1+vl5iIopMAMroOCq2yh4rUzGDCdThsKYzBmtVol7jhpzLqeuIljnYC3Wts44/lmPBYheJzL5TJf967HkHGO/4gBJpNJElvL5TIiovFM6BUNPp+dncVoNIqzs7PcZZPdLV3BY3LLBJcVXMQzxkTf036/j81mk0k04xXn2O/3jZ6aFo0YZ46NhSSfx1ut2s9hlQh7zVrN5os4djcBZpFqsCj/kJ2JhfQg04xSDCLKUtCIaJAofB5Hh/MwCQRpZ+mqG+U62+8AwLuAQZbhXMnYuOzFslXXdR+z09PT3L4eBRvmnmMAKDLpiK+zEi43JLDwey6PdFabTQK4NgQkWTLGgSKNa9LgmGfBOQEo7i+iue2wAdqO3ESYnT9jt4LB6gAWBS4jKiXrJru4lkm2atWqvT2zGssqJ8hs/K2zpS4RiGjuasj/WfRTDkFAYdVXRHPBzu9kqmkIDN6ZbMLfGWtMEDlYsGKNDDjns7LaiZnydSdvGC+LYzY6IQPuuXOZvueIsXj+vHA3iRcRDdzkXHzWiZ5er5fzZyUzn0UF4ecDcciYwapyTC4v8ZisgnhNqez5tfl7xTMs1XXl8V4PeT7/2DqgWrVq/3rmqhDW0CRaWfNHNNWzfMakOWty/JNLLlerVfY8BCvKJKzXtvhnEtQuGzfGmSQxNkY0y+/s5/CtjsFYO7tlgCs3Ig6ll/zudb9LPFFKk2SxQpr7AhvKnlpljMfxfs0qOuM746CXs8fqBAXzwjG0GICwKxMnXmO4Ryl+3qWhxzCmJMx83lIh5jLKcv49Ds+Tr2vBQbVqP4dVIuwVa//vgAFCaLvdZjbcteguByydNwtcHDKlbjjkXq/X2HEFx1M6etRMZDMimv24cCrHFv4RkbXux0phdrtdZhJQDOAkydRvt9tUxwEEBCsQZOVC2uMgY4KSgHsajUax3+9TPVYGJAZs7s1kVpm55n5Lkon+Z3yWOUB1x/3c39/HarVKYqrf7zfAP78bUmPYIXuRYYnvsSx9ueOmz80xrVYrZdK9Xi8zWZ5bz48DZe6PXgLVqlV7e9bpdNIfghkset2jxKXnxhmTIF5wO8DY7/fZb9Jl+iaG+Jw/u16vM0nDgtU7I+L37bc5X7lo5rzgCYRQiUHH+ow5C4wCjoAIP0z2nyw4JfF8jlIXEh8mqUzWeZHt/i4mGU3iobDgPcrtCUCYI9QF4Pxms4nZbJZlo91uNxNrxwgo5tRBpJ+/g4Ry7qw2iDgkghgzz82lrgSBzDnPyeexEchWq1bt7RkEFcSKVTVOILBuxLfgc1hrlwlf1D9eW1NaaJwxNmFOuFDNYoLOyRR8MJ8nmcOPFUfPz8+x2WxSNOCEhxVhYI1xkLjHm5Y5qU7CgoQP6irOA844nuKeLBzgPtxQ39dxUsP4yu/ENI6VKO9knBBgxDStVitVd8y/Ez2cx/McEYkBJuvKpAdKtpKQK8/NffJdNPaW9+skDeugMiFWrdrPYZUIe8VOTk9iMplkjysWve7DBYFCIAPB5V2XIprEiaXD3rkFwKFswqUS9FHBaXpHEIxgAtUQKoD1et1g8J1VsQIBQPvhhx/S0ff7/RiNRtHr9WK1WqV02sDCdvWQdxB/DlC4l9FoFMPhMO7v77PPGCDLvdzd3cVwOGyotJ6enlJBx5wBkIzVdf3MEdJjBwAONNzXwMRiv99PJ42zHQwGWdoKiWWQ4xoEtpzLPwRDzq7h5K0ys3Evi8UiS4VKRYifL0DNYqcSYdWqvV2jbIGstcnx/X6fPRB7vd5Xm7eANXzO6t+Iw46QJCzwJfjIbreb2EXgwuIZHHEJihe7vLfdbuPm5iaen59zu3v7JQdDvn7EoV8WWWp8pxe/YJqz5s7E+zq8T5Kl3+/H3d1dzGazvH/eB68JEO2TKRPi2pwfIpE2AgRJ+GfMQQJ4A3Yzd+B5r9dr9POMOPQic1DGOqNMzDjxVP44wDJ59ZpqjCCG52/l+LEsfJlwq1at2tu08Xj81YYn9kdgBWXuEdHAJJeom9SCoMB/sjbmWJITJCBY19unO6bxup/3UW8tl8vEmVItVIoQTDYZZ7zjMIQMSSbG4B6a3owLXwex1+12Yzwex2AwSJxx0303jwfHrZLebDZJAloNxzgdF7VarRQmXF9f5xw5GQTWOC5hfsEr48BgMMhqGccrpRrYm8QwT65OKYULpZV4Q3KGeNoJtWPG/HsTHfCpWrWfwyoR9oqdnJzEeDzOsgukr5a7shDEYfI6mXP+xWDBS/UUjpHFOgv9iEMJh8swcXD39/cpPybDjrMmQFosFg1H5EwL5uCFgCqiSZpRn18SMM76O3tSZo25D65/dnaWZJ2zAVyX+fL8cA2TVHaSZAysiKLhPc6zbM7MdTk/z5tz+ZrcM9cHgAFdZ6+8QGDOPO/O5rinD++XUmArJdwQ2/PFnBH8HiujrFat2tuxbrebZAwqojKRgD/yay5FczbefsQle2XfRVSxVjs5OcB58NtgHMczTs7z+PgYm82mgSX4+rIcx+PDTKhAjN3d3TXuo0wU2LdyXauxOM/5+Xmq2zw+/+4eL6WytsQBiDQHX/f397nzo/u1eGMTjy8iYrPZ5HMr74txlK+V4yvnkfdNxjlRA0a9Vt5yTPVVEmAeE/NTMaZatbdr3W43hsNh+mqIF9ao3qkQf1ImZ6x6MiGPf/bOiPhB+yjHNE4MQKKhnKV/MuSPK0yenp4aOMM6u2wtgq/Hh5etVMAz4ijHclY1c6wVwfbjVI+QyAFn7A+tGPZmOF7r+9zGmTK59fDwkLvZg81gjZ8V53My3K17HF/4X5ItHjfvMSbm0TjjWMTKL/+/xLVjJZHHzN8xk6zVqv1cVomwV+zs9Cw+fPiQzd/JDFPGEHHYGRCnSpYZx4njdyYaK0kjFF3b7TZ3/iA7YjmtAxHAjIU5CivAAeWVr0fDYy94cdBudgmxhvV6vcx2sHB3EAWY4rA2m02j5AcCajweZ9khGRQ3vAToHh8fYzgc5niZP6vjXnOIPCeyNC452Ww2X2W3LNEFlCOaDtvXsdSZfwF9DODh/iMi+xZwn1zPgU35/SiDGsYLaWpg5pl0u90G6VetWrW3aePxOBWw3pEx4sUHoNTCz7Mg5W+eBIz7TeLXTObwf/wNGVVnisEYghSug6+NOKiprGSOiEbGnrHTRyUiGv4SnIBYsy9stV7KwcEFrkEAYXxzw2WwjMCJuW21WtHv9zNAsW/nM1aQgWmMrwwGHSwxjoiXBMpyucxyVIjBY9lrMNTJFM7N/ZbYg38Hp8rPODnHM+P4ktjyc8MIMkz8OdFTBjr+bjmgqVat2tszGq3ju2nRgh8oG7074QsWOKZxYh5fYIyJOJQiPj09pbLpWD8yfJhVWcQi5fr16ellMxMTWuAMa3d8Oz6RShHGzfg4P2QTZJ4NUo54yAQU4x6NRtFqvexUD0nnmM2K7clkEoPBIDGw7AEMTppcZLwookx88X8wB2PNYFLOifnSyhJOSD4fa9LRMYdjGuNAmag3UenvWRkH8xkTau5NWiaOqlX7l1olwl6xx6fH+Omnn/IPHgdAQ9uIl8Uni2vKIXF2nU4n+7Lg4PgMDoFSEPp+RUT2reJ3Z+0h3G5vb5PkuLu7a5SVGFSen5+T2IqIr4IcQOrp6SmJPD7L8Sb/NptNEn0OoI45Opzc09NTzOfzzLjTPP/q6iouLi6y7PH6+jp3CmOubm9vYzgcNuS7zqgf26633+9Hv9+PwWCQpYQABTJrxm9lgGXJ3BPgxX168WDn78wQxmcIenDeHOtAkuDlWEbKwUk53wZZ5rvb7WbgV+XD1aq9bVssFunD8SssvCFhvFiMaAYq0+k0iW+SFVao8jl8b7lTontYgnP4QUgqShjoe+LSEhanjNOLZJdxWxVF/xVU0NwTx1ICT8kOhKAX2sY0bLfbNcgngpPJZBKj0SjJupubm9hutxm0RETM5/Po9/uZfHKZCPPkBfnJyUtjfMpL7u7uMsAkUCFYJICwv+ZenRxxiYuTbGXy5Jh62HPANTkH8+4AtVQ78J1ygOlEWTnXlQirVu3PxxaLxVcVKvixkvyBhDCGTCaTxBkSFVaFgV34ybI8HH9NZY39DDhDTLPdbrP8vMQZ1t+smamWMFkFEeWNW/icyZezs7NstUKpY7mhlxVu9sXGmYiXuGM6ncZ4PM4SxtlsFtvtNtbrdazX64iIWK1WMRgMMsFlnCkrjZjTfr8fvV4ver1e3N/fx3K5zJLKMnHm52tC0LhhdZxxhs94J0nGUCqSfT7HQMYBx2U2fzf4Hvp7V8aUVmuXhF+1aj+HVSLsFds972K1WjUWqRBfZD9cQugsPE6VRfN2u02HE3HI+HIek2MOhMgaABxlMISsl4Vov99PJ894yGgYRHydssQOwonjLUl1T7NjAGrZqsk7lyFSznl3d5eZkd1uF/P5vCE39ricKSkDISsfICr7/X6qAdz0uVSQEZx4fDhpk05WURCceQyAuYGszLoAJr6PEgD83SjNmXpAiOfO8S6hAqirhLhatbdrYIPLqfEjNB72QtAKUv7eIXDKPhr2MWBJSaqhykLpxaIZfxrRxBovpjmG492jsVxE29fxHmPkMyZW3GjeftVmUglzD7LtdpvJATYc2e12DeUWvt/ByLEEDz7e+EOwRskR5FvEITgwYeQMPb+DO1wHM5npYIxrl8+yzNAfwxZjmdcJpRFk+vM+D8eYBK1EWLVqb9e8yRb+wXEMuGMfdyymgZgCn+xvI5qllfYRXMP4xlrbvuo1nLFilZ6K+B7HTzZjET7KiSX3dWa8VoWVsVaZAOczNOXvdrvR6XRyoxZ6TULeWN1L2T/jxCeXCQqwGZxh3o3NZQmq1c4k0zlnxKH5PckqP2fMsY0T/OUxYMUxjPBxr8Uhxq4yxuN9P38/y2rVfi6rRNgr9rx7jvl8nv/3wpgs8HA4TOCwc4qI3E2E3f7u7+9jNps1/pCtCnJZIc6n1+slcBg0ABSIGxzJcDhMp8mi3JJSN5kk8+6sSUQ0miVbouvdLiGD+GG8nP/x8TEVYwQ8GLu5LBaL+PWvf50KLmd8nDFwuQ7AgMqN87P7ZrfbjcFgEMPhMN6/fx+DwaBR4klpZ0QkOB/LbHjOnKEwSHEO98Hx8/fnyDKVpT6Yg1qUepjP7/l3vxue6fn5eTYFJRtVibBq1d6uLRaLhhos4hBAtNvtxJrRaJRqJftl/GFExHA4zAbx8/m8oWhy4APphe8ngWAMiDg0pcd/4nPAGtRhpeqUBbaDFe6LgMKZZ/w994SfBicJnIwp9/f3DdUYZgJpsVikyvjbb79NfOBeSyIMv+ugxP1nmGc3lu73+/Hu3bvcVRqV2WazafjmY+0IUOcx78YmvguoJRywlj1xysbGLjfy+f1/k3NeE7jEqHzmDtgciFXlcbVqb9sWi0VDfYrhB8CZcvMO+w/HNKh2F4tFJlxNhpRtVvgpccb+kdetLAJn3MTf5mPxTZBD+DIas4NJ+C+rylwR4tjCLWjsR8Gnx8fH3Ehss9nEN998k7HhbDZLAgcsRvl2jPDy7wgp+H0wGMTFxUXu7snaHoLzmJLXcaZLLEvVFZ8v1wj2877n3W7XaAOEHSMjrT7ju8F9Rhywy2rn8nvE3KCyLhVl1ar9S60SYa/Y7nkXt7e3EdHcbRCiqN/vx36/z9p3s+vO3O73+8ykRLxkCZC04gAGg0GMx+MG8XVycpKZ5oiXjI4JFzIF7DDV6/Xi4uIi1VAsYA0IZvAJliC4HLQ4Ow9ZVmad7bTZDcbBHFkdgigHHszp/f19DAaDePfuXYP4czbCMl2uDyDiKJlPK6Agwd6/f59gwb9cy2WKLOStZnvNyqwFoMV3gkUE4Guy0OSbS5zcaJRxRESew2o7LwgA9tPT08Z3CEVYzZxUq/Z2DUUvf9Ol37m/v09fRb9EkyDOBFN2Ts8UsIZrtFqtGI1GMR6PMwGBf+90Og1FLv6L3mVkjc/OztJnD4fDGI1GjYV3uRimL+N8Ps8emOVC3WpeJyGMNWWyiF0aKY1hzOCSe8vgD0uscRkk/5bEHefBx3IPEQffC9ZMp9NYrVYREdkqgXkDx1gjsE7gWb6mDrDygEQH9+TjwQfMwQaBCOc8pqAAs0zW8Yx8DOsItytw64dq1aq9PXO8ERFfkSLb7baxSzy+A/KIz7CWpbwPnPEOgBEvBNZwOIxer5fJWSpUIl5w4ccff8z4BAyiHQmVHe/evcsSdKu7jHv4N/dp3G63jTWzVc4kgZzsBoeMM6enp1kV9PT0lOfEJ1pBx9xst9uvcMZ9grn3YyowDPKL+WDuwfXJZJIbrZhUc79NE3+M1cmP0kqciTgk1jkHPdyM26WKzuN1gsqEI9jn/x8jNI15bERQ9muuVu3nsEqEvWL72DcWyBA5OHyInFKOaqfB6zjWbrfbWGxzLDtb4fwAhclkko7ry5cvuViFJT8/P49er5cZCJrLj0ajiIhGDxYHSxB4Lk0pVUatVitlvlYiMPaSKLO6wLJbE18454gXp03fgn6/35iHYxJZZ839vkklE0rL5TL6/X5uW8w8Weptks1EW1mq4oUA2XJeI9vC+Rgj35VyW2KDN+DE3PFdwwwQbghdlgMBRPQSOD8/f1WmXK1atbdj+AT7FJIVLvvAR+x2u8bft3snelHa6/VyUVoqnPDrKMjoKwjJjnL58fExF+PgGFhD09/pdJr3YeLdZXNkjyO+VotxLAtebxBTBgv0VcHP87oxwVll9/daLBbx9PSUZSvGGsZF9t7PxoSc/09wx+7HJLtchlnik5+Zr3Msk455bUEgVxJnxlpn7UtVmIkw7sdWjrdUDfDdtGKAgKjiTbVqb9fwCyYc7DuNM2AICXnHCPZDxhl8QcRBSYxPhzSD3OJcy+Uyfc75+XmOr9PppAqaTUyGw2ED70pftt/v05+Dp+BMSfK4xNMJGZMv3DtEk5MzTpr7/CaD8P/gLeMq1UyOBZk/45djq+FwmKQQGE7sxGetcC57dvGcfR2MuTC5xRxyflrjgDVci2dgTHayxUILx8nG05Lc8rNw/+oyOVOt2s9hlQh7zfaRZBGqHgxVGDtb4UBw/vRpQW1FWctwOIyISADBUff7/XTMqMOGw2F88803ef67u7u4ublJZhy7uLiI4XAY0+k0MzDj8TiDJhpQWv6LMgDw6PV62YCRnSfb7XZcXFykZNp9WyD5zs7OGmWNzBE7ZkU01XQGUlRp+/0+rq+vc4MBArKnp5fdI11GaLWCwZnAAnUAO1aOx+Oci16vF5eXl0kqOWPkIK4sU4loEmE4eBz4ZrNpEI521JzfQOxSVMhMz6+dPIEp88GYuD6gQwD2zTffxMXFRWberDCrVq3a2zV6bZkwwp85S82Cmp2L9/t9owwPlRd+mQUzfoUM9dnZWQyHw7i4uIjJZBKXl5cRcWjI/vnz5+h2u1nyB9He7/fj8vIyS8/ZBRhVAepVZ25ZrIONlJJYBYcSgab4/JB0wodzz+7lxbXslx1w7Pf7WK1WieMXFxe5UyQJLRTXPAuXspgss3/32gDMZp4uLi6yib63uy/nxgkNByilMhC8JBHmEhgHFr5v5q3M3Ht+SgWYAxPjHmMFvwaDQT6ffr+fve6qVav29sx/w6w1TbK7lYoJI5cJoubd7/dZYm6cIdEfEUk2oSDGP15cXETEgRwhpmEjlpOTkyS+wCWSNowd5ZmrKiIi8QEiC5zh3lBTQcyxvuYHgg9sjWj2PDNhFvHik62GtboJhTBxHziDUhhzlQfnAVO8wRYxF61fmCfKJR8eHmKz2WTMCVnFeF3ybkKK74THzz2w9ijJNSffIg6tAsqKJZNmmPHaySHPK99XcGY8Hsf5+XmsVqucq2rVfk6rRNgr1m63MxtupxsR6SBwWCx+XeNOg/b7+/tYr9fR6XSygTuZC0pdhsNhBgnODOCgn56eot/vp0KA2vzlcpnjYPex8/PzWCwWKW9+fHyM5XKZjtLqtNVqlf3AvLsJjuz+/j4zvzhxgIVgwEowN35GGnx6etpoVl9mRO7v7+P29jZJtffv32fQYseM7NgO047T5UUREZ8/f85zkKWfTqd5DivIDE4GDp6lpcCWQZMBsZqr/K7YnHVC/szigKb+EIilbNqZHV4HdEajUVxdXcXf/M3fZC09i5dq1aq9XcMfO9tsQoQFOpuMQIqhCiUpQ4n3arVqkDwuAyEoQXnM+b1AB2um02ns9y99JXu9Xm5mAvF2e3ubiROy32ANyQgHXzQOduDhXZFd2shOv955kbnCN1Puif/D3AQ/Ir6ay9lsluTgZDL5ytf7PCQmrHbgGYGZrVYrvnz5koEBWDOZTPJ498nxmPDjzFOpNMBcBsTnS3x0MIa5HMYqAp75crlsJGlKZcKx8lsUhNPpNNUS/6dWAtWqVfvXNRRZ9KhyiVtEpMqKqg0noCHZjTPsdDwajZI4s4qMhAwxjcuo+X+n00nfjT8iqQKWMXZiKMa62WwSJ1zSyOu0BCC+cZWKE/b/J5zhPUi0iEhS8Fhig2vMZrNUBl9eXmbJJgkvx5Imi3idJD8YGRHx5cuXbDnD/I5Go/TTrBHcFsCxEvNkYgszieX+XY7bSgECZiUZawt2rqcnNPdUWqkkdul9r9fLnms+vlq1n9sqEfaKQViRgeU1wANAYPHuTDFOt1Qr4SRcvuKghc+x0N5sNnkdAiKyMCxmcVbuAUCWhAALQg6lFGWK3gKYAMIsf8QhOLi7u0tpLFv2ukwTwIs4lJ04w25n6UxAxKFPTsRLby9A2g2GDbIQUn5WEdFw0pB+Lok8OztL4IQEK6Xifo/nXZbfWF5ssqkEmLL+v3T6ZYBzLEviH5/TgEHm7N27dwnsx8paqlWr9rYMfxMR6fP4u8XPERh44W0Cw0pdFqxk9N1/5fz8PHfqtcqWZA3YA8lGk16Oub+/byhqSQ7gxxgX2GL/Q0Dhhrel8sm9TcqeWswN18MnuqeYx+NeKPafnJu5IHlTklRgD4GLyTCTlgRsqHDBd29IQLLI/cb4t1QZl2oxsLzEET+rsvzFx/k7xri4nz9mZXae+6NfD4k5l8NUq1btbZrXtPYd9pFW/dAKxuVvfMY9a0ucAWto6u4kA7jAeSDfSAqDD5zfx9vHmSQicewECTGNy8XBGZNyXMsxTUS8ijPGY7cvKH0zpCGbhvV6vfy/8Sri0CwevCnL5o2piBRQ30H+OQbjh5iLZ4f/5zl6vBGHZvnGOF4vRQxWk3GMYz3mztcoYz5fw8Y9QaZBtHpDhmrVfm6rRNgr1vrfpXVkeO00KYODbIk4yEstEy2b8bJQpw8YcuHBYBARLw5lNpsli+7fvbh2PxXkos4CmDxiy3gUWxBrlEKWgAEwefHOGFjwliV/WNk4nyyPsyfuS2YCiPHTcLhUVOFsaTx5rHzDzZTX63U+g4uLixw34+Q6VnrxHuQZ6jp2hLEjd1aL8wLgDsg8fj7jxcF2u43r6+tYLBapyPOxr6nLuLdvv/02fvOb38R3330X3377bXz//fdJWpbPp1q1am/PWKianLeyFPIJwoYMq9Vk5cKa7LP7TdI/Ev+DX7+/v4/5fJ7XKMtNTGCxyDfekeCxL0QBZnUXmXpn3xkjgYCDEu7bBKBJnZOTk1RXkwxySYiTHIwXvMPHv5ZUcSsEnoODHjerJ8F0enrayNDjo4fDYd4Hx4LJ3h0MUq5UeWHO1FtZUb7v0hcTafv9PhtJe2do7pH7P1aicn5+Hu/evcsNWdhNFEK0BijVqr1dY+1sX201EmtFYpxWq5WtS4gH7Evxz5Q0ggP09CKm2e/3iQVs0MU18E1uK0M7GhNCxAruF8Vn8WWQReAUyXXw0zGNxQNOLCFcwJc7+Y6/LxM1ZRxU+uinp6dMjnAvToTQEgel1rHz4edpidNqtbI8krgInMHn01jeOOm2LMyZSS2u47jF348yEXQMn5j35+fnjJ2Ii1wWeQwzmPfxeBzT6TQmk0lcXV3l98eCiWrVfk6rRNgrtnt+zqbBZEjczD7isDUsVpJKXpASfGy321z8m3zinLZut/uVIujp6WVLYzIulMJ5i18W+QRK9GihF5WVaoAOdfXPz8+ZxRiPx41svH8vAwzKNY4p1QxKpSPE+REcMDZ+LyXcrVYr+4hhOHA7exw6PVoAjXJ3E4hJggLfT7vdzl3YHKiU4/HxZNwiDuRXmclwxj/i0HAfCTBKPTt9K8Eop51Op/G3f/u3cXFxEdPpNE5PT7NsabPZ5PfhGJFWrVq1f31DZeUFLwtbFpv4yIhDFhXS6tjCkr95lF7r9bpRlgIuuC8KgU5JvlNOia9CGUYA4+CE8vaIyLKWiEOCAN9O6Yl7y9A/k+vi+102iq8FRwgYwDJINmMNnyWocVbf92rcsX+m7LP0oTRBJukT8YLty+Uy8cyZeAck3ANzWirEKQ+1QtuJFQJDY7G/BxFNdTOYwTgZR7/fz2DQ98d1+By94b777rscH/fg1gHVqlV7m0Yit8SZbrebf8eoqljH7vf7hhLY69qIA848PDykWKBMWHA8BBA4UyrR3F6GEk0EB1ZBsb7nfCijTE5B8tj/ImgYj8c5plarlRhTbvTCMSRn3MPTVRelKtfzZ5zy2Iwx4CA4U/pyq7wYF7tjguP4equyKCMtr+PWOMRHjmlKZa8TQiVx5uuVSjC3PWAsJcnHd8zVLf1+P7799tsswT87O4vHx8ckw2pyv9qfwioR9ort9rsGALgPBs6BxTWOCsfnjIcXjZQ6ci4yBSxscUxkLwAmVAJe3BN44HDKspAyq+tykfI9ykApm2BHLAAHh2ayyDXnEQe5MpmNMhgpgyzmpsxAl8f4PDh9k4YuKXFAhsOkn0AJGiaa2IWNwIL74T3mweoME3k8X4I293wxELE4YG69C5rvxX0PXPbDOSDCJpNJvH//PkajUQwGg1QnoO7wwqcGKtWqvT0rs6tejOMXrBjDB/A5q7j4HH7eWOTSFnAr4lDG7uSGy2ZYjLNDFQv81zDAYzcWWSXlMp1yt2GIMqsFPBdcxwtiL9CNF1YUlGreMklBwGK/DhGEkUyJiEyIEdiBe5vNpqFasHE+K7mcTOM5HPtelOcpz+USTs4LznBesIq1BQEwz9Pz4/FSokIQaQwE6zm+4ky1am/PIGPKRG/EgYjHz/oHX+r1Mv7O5eT4Aa+VwQDwB1/EZ8t+uvgaYhrHXWVcgw98Leaxqov4hmQ/79tnco5jZBj3wz0ewxuONdaVyl5jNv/3XPseuC7vEZtFvOAzGxeQWCnX+Bxv/HAM4vfLRH2J6cYF+3qOKcszGT/P4Pz8PFWGjkfKNQs7jI5Go8YO0iiPvc6pVu3ntEqEvWKtaDUIKDdUtxSY3VOGw2FDBkoZIs4AsHCm4uPHj/Hly5dGyWC3242rq6u4vLxsKM8oaaC0gmvTIHI2m+X1aOJLgEG5iTMT+/2+EQDBvtspuuExZZQ4cYg/N3m0MsHEk1UMEU2QsSy4VFtZweUMg4MH91yzOoFGztvtNr58+ZLPCOn1arXKEkw+Y+dM5ofPkHlqt9sxn8/zu+AsiM1ZNuYLaTr/jkajRi825ofvmokwzkXw+N1338WvfvWrVIN1Op1YLpfx8ePH+PHHH/NcZf+xatWqvT1jUV6SPC6zJ6tNj0gvzPHp+FMy+Sx6aURsUn0wGMTl5WVcXFzEN998k9f0blv4rfPz8/Qz+H4SDih+2+12bDabLLkEC1F+cY9WFeEf3RTY92aCrCzPcBbbi/yIyPGUBKNJQi/E/V5J6Hmh7iQG+OlSw9vb2+xvcnp62DnL+M78OVFG0GMyjPIkxmZSzvdGwGr1FxjDWFEAoIJw0qoMah3sdDqd/I6g2nt+fo6bm5vEV+7j/Pw8VRzVqlV7e+akNIbPwG/QiJ3dCPFdLnHDl7tkH0Ws19KotiaTSUyn04a/o3rERBnHOh7hWq56wefyefyY/SvEl9foEDIRhzU3BKErUzxPpVqKihPjRJlEMOFTYhPXcLKH19vtdirj2u12I1HkjQAWi0VW7ngTBOYIjAXrnLCnpxskYbvdTgW3XzfpyDy6JzYxF3NOzMd1KFeNiEbrHuYFPOf7d3V1lTjDObnXm5ubxg6d1ar9nFaJsFdsH9H4Iy3LHZ0lcJkJTeJxAnakJTniLDcA0263s6QFp73b7WKxWGTpJYtyS07ZXhfCB2dFfysWrYwF0iiiSUzZwVtlRikmnynr6nFq/O4FMcGQy0IIcgA/yCj6BHQ6nSzvc/aqlMaiWOD67BBDaQlzSOmMmxnzOTt/rgFQQQDy7Jh7xmtpuSXDvB8R2aeHa/Od4rvie/MixcDMvNEX7MOHD/Hu3bsYjUa5885PP/0UX758icVi0Xiu/p5VIKlW7e1YqaYq/96tNHWZRcShxM07CDrL6yys/Qznpy8h2MJ13C8MX2nVLKXcEc1NVR4eHnJ3LPc6xL8bN3e7XSqM8Z8olfCTzlyXeFqWNTKHzKMVbsyh1W8mGLl3jjUOMM9lNhtMKctLeKYkq/i8M+X+3cSbyzq5BzACQqskS02QcT/8ONDhPP6+8Z0oWzwQ+J6dncXFxUVMJpPc2ToiGn3fKvFVrdrbt1JJFdHsW8vrKLVMerCOxfeXa35iklKZZUUxJfqcMyIa/cKsXrUKDQIG/7Xb7bL3MLsdu7IDnIlokn72sa7IIbEMppQxjdu0HFNOOaZxvEiMgOjBijQwDzwhJgSnNptNQ13F+xYzkNAoq4fw535upVKa1gYmNUny8LtV1dyXN9lxgszP3AkVx20lLhv7Tk5OYjqdZmWLEzc3NzexXC6zXUyNX6r9KawSYa9asxbaC0WAwwEHTruUF+PoSrIkIhoLXpMvOBNUSBEvWXoTYXd3d+mEcDqAgLMPjM+OHFLKWQOX2OCknUkwwedyDKTPpYOy+sulHFzPBJT7t1iq7Dn3fJVkGASRdxYxiJHBKRVnJogsDeecgDTnZQ4pFQI8yrp/DLJtOBwmaJTBUimJdqbOAQ7P4vT0NAMTfjqdTjw9PcXt7W0Gop53zlHLVqpVe5tWljD4b9UEEgt0l1Pjt0wOsYi1D4g4qIf2+302Q97tdunLWq1WLJfLxBqT9iZRynJKl30YR6wGizg0EYZAKe8NTLCigB98o+fKi+qIQ1bdOIrP5j6sMuMzzB++1iQaxxibvJB3g2DeN54bk60etuLABJev6dJG7qfEP+OodwX1d8g4w79leRFjIvACu7x5DPdYKjHK72y1atXejpkIi2gqliKafhSyyrvp4n/4e7fPLs+NP3A8w/VQI7XbLxtaoeqyf+b8jA2ix34XHLR/LUvLTWrhU/HxEDuoYrlnrkMi3XNTlhoyjyW5hT8mBiyVT46vSrLOyrPS3Lgen+3kCee1woy55DirtHjWkJVOoFj9hxG/Ef+gACu/N/4OcB2/5mfL2qXf7zcEBqwBvOmOY6Nq1X5Oq0TYHzH6eeFcXb7C+zjL1WrVcEI4EUtCIw5OAaflunhnvdku147BZZonJ4etgl0OwaL822+/jcFgEJPJJE5PT7NkhSCKXTna7XbMZrNYrVZ5XWfCmYPRaNSQuTpjT6YCx3gs480YB4NBA3wiDg728fExvv/++7wvdrYhuHI/EwcVOGPOyTwCMAR6JycnsVgsMmBzDwHOAzlISUtZfhTxUo45nU4b5bCMD0MRMJ1O4/379xkwrdfrnA/fv8fPay6pfXx8jH6/n+QXDYzfvXsX9/f3sVqt4ne/+13c3t7mrm4Gm2rVqr1tAz9MDkU0F/X8bhUPPqpcuPrzLDhJChif1ut13N7eZjkKSQP8ekkUUYKCEu3bb7+NTqcTvV4vySyPk92RKcHAB69Wq1QfQUyhEOY8xiKuyXEQZQ7GnDAg44+V/v3Lly8ZIJB08o5lBD/2xTwXkh8l8Wdlt4kuE1Em4BysObjj2VFCj3KN3cB4rswBx11eXubce0dHk3SYcdlEakTk8yThQ3N9ntlqtUq1dMWXatXetpmEAAtMVrlcDR+EItjkvnEp4uukhBMnpTqZJu+ulmDd63Yu+DRUW8QdKIVoLM89gDMoilBVrVarVBKVZfVnZ2cxHA7z3JzDimx8f3l/ngPwyj7QCrbHx8f4+PFjY1Myr/+NM8yJCSTjAZjjxAmEYsSh7BOCj7GU5B5jcczCRgLsEs2P41fudTgcxsXFRcaLy+Uyx8Q1wW5v0sP6xgo4VwKBs9PpNJ6enmK1WsWXL19S/Vet2p/KKhH2iuGUMVQ3dvxm5K0usjP1OcpshdVjOHcIGrKuOEPIMBrk43QMVixmn5+fY7VaxdPTU/aU4bMQXpSuOONDXTZE0u3tbUMCe39/H9vtNuvJHYhRHsLrlgy7lMcZaMCCRu/ejQU5MYGZt0l29odzMK8OJp1BQMLN+QE+l3v6M6WqzqSSM0/IvZEUc3+UQ3IOmvaXde6ct+wjExG5E0/EQZHHuEajUUyn0yT3nzcAAQAASURBVDg7O4vPnz/HTz/9FJ8+fcrgx0QYi5yasa9W7W0Zi2irn5xltTkDbtLdZBF/985S+9z4EBRD+CdKTNy/i5J/l4ew0AYjHh4eYrVaZYDS7/fTz9ODkR3LGJOVWSzGV6tVI+lE2Qv+OuLgnx3YcD6sDAC4P/t6cJZFPvcEfpIRN9ZQBl+SWRHN/osESswN88aYPFYHfE7GcC5jYEkKYuCOy24IOr3Zj0tTeZ4QaBGR90xfOPcMchuGu7u7WCwWDRKT+66EWLVqb9NQYpVKnIjm5hilIpa1O8eVRJrPWWJYGfs4pvE6261NIIeMVaenL70W6UcISe/eWcQIXIs1cFmF8vj4mIpZEh+U8tvANydqHCf4dY+VH/wqMQfmHpuIGYgfUGTx2YhoJD1KJRW+nHmx8sylpMbCstKG54ji9+TkJGNE5pJj2CCG8fNMrIh2XGWizfELSnTjGMcwjuVyGbPZLNXpJc6Xquhq1f4lVomwV6zVan9FsFie64yKMwUR8RWZguNxVtllJRGHIIasgEsOASMvnLkurzmzg2qM6wAGEZFZfjIlZ2dn0ev1vlJZcQ6CFiTMkGFerBOcWOJspZXHxv+ZD5NsDw8PWR/PXJhUBLhw9DT0BFgJbEpSkntyNsRqP8ZqKTfz2vxOtFKZwIKBQM0klbPsEZFz463qrRrgGK4JgUa/hBLUe71eqsIiIpbLZXz58iV7LjBWZ68qEVat2tszCAZnXr2AjTj8LTtAwfx/kxGlsuwY1nBcRDSwBr9Tqpdd0oFygMVwxGHRTNKIDWNQIkOqcN0y8+2eJwQhVjUxByaXyoDrWHmJAzOCLnqluI2Bz+MxMm4CFAcd/N/X4jWIMNYD4EEZjBwzxmRVmwMd44zxHawhwDIR6vJLxuGWAMYlKzsIfsC7zWaTu3g5GKxWrdrbNNas/M06Weq4olxvOwmBmezi7/4YUYNf4twuE2T9XZ7X4+H6VihHHOIGsAhf52TOazhjVRTtVOifbF/mhEtJ7OEnj80NcQs4A6FmjCkJSAsDIPnKa3APnkvPD+NlfnxMufYviTBwBgwgRjK+eOxO9DD3/ECSsUaA8DLOlCX1vO9Nye7u7lJ1XCaAahxT7ee2SoS9Yuf/25nyR0tWO+Kw+D7W8ymiWZKy3+9zMdnr9fLY8/PzWK/XuajEuY9Go0YNPbJQL+SdpTZw4QhdZ18u8FnMfv78OR3vxcVFggSy4YhDVuTh4SFms1lmIAjacIiWxUYcmvz6mgYq5mo8Hic40i8ApwyYMXYcpQOQdrsdk8kkF//e+YSsD8QR4zAolA6cc3L/nBeAHAwG0ev14v3797lDDmRh+cP3YLVaxWw2axCYzLVLTD0n/X6/Efww7tPTl/5g/+E//If45ptvotfrxWKxiH/6p3+K3/72t3Fzc5MKQStCrJ6oVq3a27F3797FbrfLXX9ZpJdKG/6e/0+EA+ohl1m4jB7fTdbaZD2qXjAGP+KGuPadZLtbrVbigHfX3e9fysHBGnaeZKEMEUNgZJ/oskP8X9kjzKqliEPCyvNIhtqYVi6urTywGs4LebLm+G73xQRvSWIwFgdxPDuSRTwD5sll8eD7+fl5DAaDLIlkrj1exl/iNPNkvDk5OUm8arfbuTsc47UagyQTOMN65ObmJstVrACvVq3a27UPHz5Eq9WK29vbBhkU0cQYK7wiDokSVxdERKqH7PtQ+7g1SavVyo222u12JoTdCJ/r4tdKFRo4QEKFGMUKtru7u7i+vs7YYzweJ2Y4DoK8odSO9TFKNSeP+OFapcoKPC3js4gDzoATruixOoqkT8SBlKLFAH6feQRbwCKrwhgLY3t4eMhxm1T0c0flfH5+HpPJJB4eHmK73aaIgtjJqjBiIscU4AZjcBKeih8r5ExMEte9f/8+ptNpdLvd2Gw2cX19HR8/fszKJn8XS6V8tWr/UqtE2Ct2cvLSR8s7JEU0F31W3zi7yms4KbIxABCO3MGA+2RFNOvtn5+f0wlGHJRmZfmeVV+QazjpMpiyvJeMPtl2Z8kBNrP8lIw4E1yqviIOgUq3281rcf8ELA7uABEW4wRBEZHBC4EN1yTAA1x9Ln5cduryVmeL7NiPbfULiJHpYY4dtGCM0TXyPGcWCHwH2u12En8EbIAtc0+5zjfffBO//vWvYzQa5ffnxx9/zB8vbCxxL59LtWrV3oa5VAKs8YIWX0XJGmbf5ay8CR/+7u338TMOcMryDp/PZpUZC2v8Lwt675RlVa17e+G/PR77eyuty+SFFVbOmIOfzKdL0Es1lBNVEG7utwlOMBZ+nDhhce4AkiCM6/j5eN1QlnVYTQHW8BwYGxjNtcBwsMbYbEzjuRGwQn56zcGcMi9nZ2cxmUxiOp02yi1ns1nMZrNUHjsgsSKhWrVqb8sgPSCNIKTs4+238CFWffk4N0q3GOA1nMGsEON3V9g4TrGfpmKEpA7nN5bgp47hjGMzyCnwjDEYc7gvfDKxmhPs+E/PGZ/hnFwTLLEYgHjQ8YiTIi4tdGKKmMrCBM+n79PPzLEAMRjz4zJH1gx+9m7FAyZhVh477nLcyTnADa4/HA5jPB7nJi8REbe3t3F7exuLxaIxn2CwRRfVqv0cVomwV6zdbsdoNMomju5zFRGNbDPOAmfkAMYEGQDEotFZgTI4cRaDjALO2cBkx+fyCDK/vh9nUSIO5A+EDq/jxHD4ZvFNrni8BhHPE5JbwM2fxYEaAHmNLA0GKeRAjADAQGwHTraB7YDJyJfPmftyMGAHbqITIoznb8dvQPBzMFCVZBXP3s0iGQeZl4gXafu7d+/iw4cPDZn7Tz/9FB8/fozb29sE6zKYrWqwatXepkHUgwcRzZ2t7CcJGFhElgSLF7du4m5ccpKjJNO4npMb9h32KaVi1UQXarMyEIDcdy9Fxot/5d5LEsxlmvwfvChLN0pf77I/rsWYfF/GRatwTUoaf/gs1yZIMgFZmgOtckxWOvN8yhIdq+3cP8YbtvjZ+NmzDmGejMlOSnU6ndyUhTHc39/HYrGI+XyePWSMKQ6Iq1Wr9raMSgtXG1h57OqBMqaxwgfDlzhpwHXsvziu9Jf46GPrUnytfR0EF/7I62Zejzis402WlQpacMaVG8yB1cesvRnj8/Nz474c1zlRY7EBVgoAeM2kUIkzxk/HCyTk/Tr3VfrkktCDoPNc8xzBEGNaeQ4n6zDHNGCeVeUQhCgFrTqGCCNBs9vtEmPo/eY1TsWZan8Kq0TYK7aP5rbkXtSWC+Iyy/H8/Jx/xPxxl05htVqlTBZHQH04hFnEgcBityiTYc6c7Pf7GI1GmWlwDTkL15OTlx28kKsiB16tVjEYDOL09DQuLi4SuO7v77PRfsTLzpjL5TIlv3ZqDmgYM7Lb4XCYzhaWPyIaJA+KCDLzEfGVWoB7pZb87OwsBoNBSo2vrq4yy3J/f994NgAYSqoys+B6fjc5BvSQ9pI5abVaMRwOo9PpZCA4m81SFUAvlc1mExFNos0BYMShdxzjRd0G2IzH4/j1r38df/M3fxPv37+PTqeTO739l//yX+J3v/tdXF9fR0SzNxj3WRVh1aq9TWMR3O/30yfgf0yUlMkHk1X4cbCH4MEJBXAMn0VjWmedMWdtIZysPt7v943NUJyZXi6XEfHiu+lhyO6/+/3Lhihgw3A4zPOBT14Ms5uxM+f4Ny+0XXJCycjz83Njh0Xu0YkG8ItnwNzaX3IfYACYREm+VWyMJeJQnn+M+CLggKg0yelWBgR0EdHY0ZNWAk4GOTgps/4uoXTAxffFa4p+vx+TySQuLy+zV81ms4nlchm///3v48uXL4nhJWFarVq1t2ngQq/XaxBhrIPth7w2xd+WOOPjwBh8+9nZWbb4KHHGSjN6DZeqK18flZD9DWWSEYdEUsSLj2SMYN7JyUljV0dUS1xjvV7HYrGI5XL5VVsC+3InkU5PT2MwGDRiOfAFvHFi3KX0q9WqkVBijon9iM24Fptxgcn4fJTH4DpYjS8HO7wrpnHWKmHOz3xTmgmGet6pjuJ745jG6wMniyIOinCItn6/H+PxOD58+BCj0Sif3Xq9jn/+53+O6+vrLAtljirGVPtTWSXC/j8YJQU4GhorUlZBdoHgwA7BZS7tdjuJHstWLf/E8Z+cnOTOTEhRLec9lgFwcGJzdoNeZxB1Zca93W6nigvnfH5+3tgqHQcIOKG8cqN/Zy0gjjxGZ6EdLDDfZdlkmQUAoDebTY610+mkgo1juB/mxcEO82Ln7kU9ygbv3MXYvUDwbpSc2yVOBikHbhCZm80mAZp5A+Ah+1CCMR/X19fx/fffxz//8z/HYrFI0q6czxqkVKv2ds1+Db/Z6/VyUW7VEsQWn7Mi14tSfBOL77KfB37KC3wvbN3Timu71CGiWcZuv+eNXXh9u902CCdeBzM5F7+vVqu4u7v7SlHlTLz7bJlAc48S+1gW0sxHSTAaM12O4kw/OzCzM2aZEHOAxbP08wFrHLBgEGdggINB+3RIQdYcqCWOkaYlsebr83o5V/QGiziUEFES+eXLl9xkx9fy97RatWpvz8r1NckIk/nHjmXNiv88RqjweStUS5VYRGSS1wpW/OtrSiL3urThgxzDkEDGv1nVC7ZAOp2enjZiGsdA+E0+42Q64yHRzvlcsVNWyPB/q2jLmMtE5GazieFw2HhGxF3gHeNAGOBn9/j42CCRrOr2fSEg4HOO7Vz1QhxFhYrXGmB6iTPEI362VqJ3Op2YTCaNMaxWq7i9vY3ZbBbr9TorabBa2VLtT2WVCHvVmo6x2+2mc/BiHkeBQ3KDQgIDK4ucgcH5lBJZzhFxqKu2U7B0lf+bkedaXuTjRHBmZOgjDgt1Poviar/fZ+02gFICEplyfjhfzuJ+39hVzBl7Z5qOKRMsTXa5UMShP9t6vU7CznJugjZ/hrk9lsnCeXuxAMFmUo/zeD4h0hxMOYNjMsplNO7tEhGNppxk1tghcjqdNrJjX758ie+//z4+fvyYRJoBvSQXq1Wr9vbMC2D7HJeEOFkBkYMvNhkGtuDzvPj2Qhf/YJKIsTigOYY3VvwyLpdQ2P/wu/tJoUKKeMGDfr+fZRHeucrXYpwEAO7JWGLN/f19I9nggMMKWZebGv+MNc5GR7xgDZl0Y2dprA+M4+4NyRw74UKAYlznmXCce8dw7ZLY85jKAMWqDtYHLill8xyCOoLk+XyeuxK7RQHXqr3BqlV722Zfh3/0jrTletVY4SoDE++cx0lXzDGNkwSsk73uNdFk9arL85yQcCLe9wW5FtEkmkgqd7vdvG8wpYyh8O+QUMyREx74UYg6sIh7MlnkeTDWG/MdI+z3+1iv13l9l+bz7Iz7rnYhlmROPQeOgSDBjE/MGcQmc+mEm1sG+MfJKfCduNjY7WsTs7l/GBuLsQnZ09NTA+drLFPtT2WVCHvFSjUNi2+cIbtruWyDP35n3jkegonyBme0I6KxEwfMObsksrjnHKi0YPYhfXxdxmWAe3p6ylLC3W6XsltLgAeDQXzzzTdxcXER/X4/1ut1llZC0kyn07zOxcVFOkHmgN1HXHMOCQZhhaO+v79vOD7Lp+34cPS8h1NGJn19fd0IDLiug6mTk5PM5uPw7+7ucsc2DOILYo9x4bSt6qPn2263y+8HwAWZhSIOaTqv+5o8L57RyclJDIfDr5pP7na7+PjxY/zd3/1d/Pa3v43ZbBYR0QDriEgQq+BRrdrbNRqhe6GHX2ehij9zX46IptLIi20W8xGHUpCIaPhOekiCHefn541Ej/HGZYdWIjt54DI+ruOsNaow416/3493797FeDyO4XCYG5Dw2V6vF5PJJIMKShRZXDNeb6QSEQ1SzQEBmfKyrw1zyb9OnjiZ9fT0lIt13mP+TRCCNSRdHFyUiiqCBwelxgVwxhl6E1nMtxNtrCkg1kw+mvQjKDk/P4/RaJT3atXadrvNksgvX77UjHy1an+GRtWCCRkrgyIifZSJ7ohmo/WS8KJqwgkR/Nixxuv4I38evOIHnHEyyD7YSrKIQwIZ/1Ums/v9flxdXWVTdieuwb7JZJKYMB6Pc40OzhDTsObH37pcHqx+fn7OmKYsCS2VYJ5jYrXPnz/HarXKdicm2EwQOoHC74xvtVpl0oM5KoUA3lyMMkpvHIPqryShSODzXHleJycnGQ+5JQExJusIvkNWyy2Xy/j48WN8+vQp41Ib81Ot2p/CKhH2iiFR5Y8WRVbZK8yO3f96UYtDJzNBjbmlpg4++JwdIAFORLMBurMp7lXS7/cbY494WfhOp9Not9uxWCxisVjE4+PLNsbv3r2L4XCYjmq73aaD7/f7MRgMYr/fR6fTifF4nI7TGY2IQ4kHJIwX5hGRIMK4LM02cYiDNQhzfgghBzfco5VQOF9nW1arVYM4JIPkZ4dj5zn4ee92uwZph5XPrVTilaSclQ6cG8LQwR6ATMbk+fk5bm9v44cffojr6+uvvhcAUCXBqlV7+waBVCp6rCDl79o707rnk5WiVmRRAhJxIMY5f0Q0/EbEgcDCp+MD+b8TCozR5YfsSsZnabZ+d3eXZf7tdjum02mS/PhwFtbdbjcGg0EmHjqdTiqiS3NWv/R1LJzBRQdSVmRZieBgD7MyDAKxVCozFj+Hk5OTr3p1+prMPQGNz2Wjt4rVGXyWcTootFLA6xDMio9SPcy5lstlzhe9KFerVSXBqlX7M7Xn5+ckwvyDeW2KlWoj1F9ej+92u1wvs+mLfckx5ax/N87YnCzHt+LLrSY7OTmJ0WjUwBlitclkkol/K9kgsPr9fvrqXq+X8VjpN417XvM7wcI9g1VWVBEnUkbJvBlnfD3Uw+756PslpjH5ZdUeGHcMZ/guYPh/yC/HYCbvrGA2kefqmxI3j2Gy1dYQjFYegz18d0pCrFq1P4VVIuwVgwiLePmjZlHrYCTisL2wnaUVPyZEYMYpN1ytVrHdbhtldSZ5SuYcc+DiBa8zBGSYW62XXU0iXjLEV1dXScidn5+nxHc6nSZ55saJnItm+v1+PzPb2+02G0U+PT1lZgYCimDGYOf+Xe53ciy7DfkG+WTHi9MGbEywMUeWb+OEub7JMAdSHN9ut/O+AGN+d+8v7pdzmohjDCbB3HPAYMPnLQ2POOzgyUYC2+02SyJns9lXkm0ThzVwqVbtbRv+1gtX9wIBD/g94rAApTQDv+QNRfb7fWbX6fHIYrcsr4iIhj/y+/5hDC5fLAkXst9nZ2cxmUzSd9EMNyKyOW5EfIU1NKfHL7PxyHa7bWwY4zF7Mc7r9sPMs3ulcZyz2gQIVhyAA1Zbl+U3+HWubwwvfXzp9x2cmCjj/C6pdOKEeyqDk/IZ+r3SSKRxfZ7f09NTKrpXq1UsFotcC1WrVu3Pz0gGmARxyxZ8qEvr7VtRm0KamAxDvUv1g5Pktj8Wt5RJ4jJRbKIn4rBTIWou1Ejn5+fpv8EZMBXShfiEHTQpQ0Q1h3oZTI5olm8aN40HxIllYp/xEz8xF24ZwPodnDKZaP/tsnlwhmM9R2WSi/GXggPuk2RcOV6fwwbelu1yyiRb+fxRhTNv3B+bFniDm4ive0NXq/ansEqEvWKtOCxqz87OYrPZ5ELYO3ZEHHqd9Pv9ODs7i06nExcXF3F/fx+3t7exXq8zcMCBDIfDXHxDhiH7hXxy9gIiCAdORgOnZ1myg4L9fp/NbzmGwGQ0GsXZ2Vksl8uYzWaxWCxiu93mPU+n09z95ezsrJElhohCZvz4+Njo0+XdGynRsBmEe71eBoMRkbuaXVxc5D1QjsJnTRCaCOJ4AOXx8TFJQSvUUF6dn5/nPD48PMTNzU2jVJLj3AyzHDvAPRgMEsBvbm6+2unFqrH7+/sGiQo5CigPBoO4urqKp6enWC6X8Yc//CF++umnmM1m8fHjx4YKzlLkatWq/fkYmGDyy0Q7vpOgoCzJwC+zYyNJFfxIv99vlLJTmudSdxbU4A5BDJly79Lr3ls2FuEm9FgkszvV/f19LnaXy2Vm48/Pz+Py8jJGo1H2DcFfWhHt8g0v0q0ScBkoQYETFiRrvJBnQ5KIQxmnzx1xwCted3DiAMY9TZgLrgHeEAQsl8uG0opj2YmYoMWKDJeyYiiFjQFOyjDP/s45McN5F4tF3N3d5bj4vVSPVKtW7c/LKIkjUUHSGN/oMm7WrO5TRUzD7uhsusUxvV4vxuNxrpEh0sE1t0/BDxIvsI4GZ9wO5DUlGWt/k2isvykNJDYhBiGmGAwGR69TJgHw58aRUuGFugnsI3YiLiCOAD+pyIH84Xwuez+GLRFNn+5Yi/cdq3gjhPl83tiwxoINq6CNM+Cn738+n39VCcP1IVrL7xzPjbli0zkIR69dbm5uEnurVft/aZUIe8X20WS2Ib8oO4TMQm6Msch2M0CClbOzsxiNRjEYDGI8Hqfz3Gw2sVgsGqUczkj0er0ks3AoAAlZ9E6nk04NIDLIRbw4JHaLjDiU8W232zweIgxAmc/neS9lDTmA49IVxscxzBkO1pJXZ6LI2nAc77nMx1bu0OlSD54BDt1ZLkAAMObznjsyX2W2iu+Dg0LG1W634+LiIq+3Wq0i4kAIRjRVCa6x73Q6udU0SgqI1U+fPsV8Po8ffvghewccq6GvVq3an6eZKCfZge8hg+wMKj4dFRXbnXc6nfQNZ2dnMRwOc5tyL74hw/CP+GSXwmMs6geDQfooStZZ/IKB9pMQVyy+7+/v4/7+PvGHDD0+8O7uLoOhTqeT591sNhnQUF5p9XFE5GvH1ANgDXNM5r8MHggyWq1WYmnEQbEW0eyVU6q8rJQ7pqjg+VrlzdyABWUWHZLQpBVjHgwGeR4U3ybuXJ7PmEpVsvELLF+tVjGfz7NMqJbXV6v2l2H4JEgc4wzEihVfpSKs1+tlkgWcoTSx3+/HZDKJiBc/ZJwxwQYRhngAPwquQFJZDADOgCf4V/wdr1Nl4n5e4BBx2N3dXZ7//Pw81+eIEVxe6aR3xGEtzxyUSmSrgyHCwArHNNj5+XmjGsYxSvk6z6O8FmZyqxRCMIelQpnzttvt3KDH8Vir1YrJZJIYysZgqM/BBgsTGAf3gdGm4fT0tKFO56fGNNX+Na0SYX/EyoaEOCYUUqenpzGbzRpbAXMMjtA7MEFysBMgbPtisYh2ux2bzSba7XY6it1ul9kWmHSy+bD+w+Ewer1eNrt9eHiI9Xqd4ADRAkiw8xMOkmbzMP3u+7XdbtM5DofDnBfORaN7N3I0aLDY9+LbC/SIw2I/4rCFbxlQcb/OyJclIV7wRxxABTDiNUCd4IfgpQym/Px9rohoACnP9/T0NC4uLhKYyfwT8AFC3nGHa6BKYzHw7t27bPbMRgC///3vYz6fN4K4atWq/XmbgxNjTURkgIIfgkQiAHFmHdKM0pDT09PEBpr/tlqt9F2QJ1aHgWkuJScRMxwOUx0MCUPpnBfBBC8onu7u7nLMxiY3HW6327Fer9Mfu3yEvlwEKGBN2VweTDAJxTlKIigiGkGBCcGIQ5KlTIaYWCqTXw7Oyuvxnu8JHLCKqywXQqUHfjrAGI1GOYcoLSjNwY4FFlZnoLx+fn5Old5yuYzb29uf4ZtdrVq1t2T4utInkdzFL0Bg0T/YSRkwCeXwyclJVrfQ9xElEcQTxAn+yEkcK3ZJuKAMpocXCRT7VdRMZWN48GG5XDYS92ArOOMkQEQ0qlsWi0XGKSbe3EOrJMHw+2V84djD2ENFkRMw4Lpbsjjh4vjFJZXGPNYRVrA55nISxMptxuPvCAo2noFjPSuQXeJopfWx7w7zaEUY/69VLdX+tawSYa/YyclJlkuw8CQzsVwuk/UnU25ygl2scEpkcrvdbkMFFnHY2vf09KWRfURkFpxsPO8DCJRaLhaLdEoEIPf39406ay/kCR4eHx9TsUSA4ob8ODXG2Gq18vjSObssZT6fNzJOXNOkkwm3iK9ryV3+U+6SBRlm1ZcdMoHh2dnZV7twApKMmd5oZFGYC5e9nJ6exng8zp3TANwyA4J6azqdZski1yz7v7mkhfNyX91uN7799tsYDofx9PQUi8Ui/vCHP8SPP/4Yt7e3X+2WU61atT9vQ63lRIJ3W8QnnZ+fZzIC/+eMOFjjzCs+iF1r2R2QpAqfJeCB3EfRS0/C3W6XJXJWt1LSwDH4Xt/D4+Nj4pQ3NiHjjW+kwXFEJBHjJAcJhWMJm1Lp5LJKq6tt4BxYZfUTWXWTUg4uwCOOwS8TNPHcfG8OVFyG4zJ744ExudVqZZABecUzdD+Ykvhi3VFm+nk+3W43ycrZbJYlNNWqVfvLMpIh+AgSH1bN4q+63W6qfiMOStPNZtOoqPBan8oSYpV+v58xiWMMcIZEL0QVpXvr9ToiDhuOWHVsEYBJHzDIOOOdIRl/iRs24ynXoWzPSXDunXngHlBMmWDkvMYQ90QGbzkHxJ0T8k6Qlb2Jy+dGjzPwxDjkmAYhB0QlZJSJLNoqDIfDWK/XOZckpsoy/IiDSo25Ys3htgN3d3exXq8bJBjPq1q1fy2rRNgr1m61M7tO7TMlCRGRZSZ2qjRmtGNwBtlqIBxsWauOc7Vs9+7uLseCQyMw2Gw2WdLAohxHw0IfpcBgMMgyPIIRFvU4ZztxK5eOZZcBUauzUH1xXwRWzj7gcO2gOb9r18kC8TrjBewIIrgWu5Q50wV4lD/cK+flfgwsgBvnijiUwVhuzJgWi0Usl8v8F8AgIHEZpwGO501WDcXdp0+fcseuUq1WrVq1P3+D3CgXrJTxQbI4ox4RuYDGrzoDbD8G8cKxlB5y/OnpaeIM17Fvto8j2CDh4U1TIGToO9nv9xvkDmNyKfqxDDCklDHl2Fg8f1Y5lRl0l5iYeHOpSavVSj/POR1oGLddEg8mkPgyoWbyzbhqtV1ZMl8GXf69xK/NZpM/JgidWGLMZWDmczo77zL+atWq/eVYu91OzMCPWpWE37Ki1OogfCufM16ZtIo4VEyAS+fn518lth8eHhq7y+/3+8aGUJ1OJxaLRfpUfB0+jd0gId7ooxwRiXvgmOOUUi3sNbVjK/8OFnAf7qdWqn79Oczr/2MkF/fO/DDvCCEYM5U7EHUWIZT3V/Y0xq9DuHF9fz88J2AUsSVkI7GwcZx/y/MZm10C6diT+65W7V/TKhH2irXarUZjv8fHxxgOhzEcDpOkoZbcxEa3281MCAtcy1NxkO5PZQIHUufs7Cxub2+z3t2lka7ZXi6XDcfpxS0gwLgJriDMyMITiBE0lDXrZXCBI/WxBheuYyKs7Evg7IaDDVQFEdEIsKykcnYIRd5gMGjUs7PbFqoHBx88h5IIwzFzTwArZJYzHg7IyB5dX1/nFsA0g7YcmcwZZB+vAeRsgsAOad9//31js4Vq1ar9ZRlEmBeLBCiDwSB9nRehLpVzw1v3H3TpxH6/b6hOnZggYFgsFlleQlm3AxTIEvwVyRPe43qj0SiGw2G8e/cuTk4O29KDD3d3dw1FGObSRAcRLrvwZ6xediLJxI9JH/fjKstESqWAr+NFO9hOqSjjsmrLY/Xz4LmZzDLpBAZGHAInxmOcZc4JGLfbbSNhVCodytc8J5yHLL03rKlWrdpfjqHOMeHE2prEOCpg1sDtdjtjkxJnyngBwgr/696GVk9Rsrjf7xtxkv0a6258OjGN18Hj8Tg3lCJeIJ6h6uU1RTDHODFiwiwiGr4df0mMRezm9TvnJb7wDp3u0eyEi/08OO8YiP6eHitxE+cHu4z5xGjl8/J3AfwDu5xMizjgDKrv5XKZfbzA3BL/yu8bSSO+G5SxmsiryZdqb8EqEfaK7Xf7LEu8uLhIwmm9XufrV1dXcXt7m6QY24yjvvK2wix0cZzU1dMnDCkvfcIiIneUcnlfuVA1kVRmPAig6K/y/Pwck8kkOp1O/OpXv0oi7u7uLnck/Pz5c+5gSQCFnPaYU2WhD8ED+eWsQsRBFovDRsIb0Vyc07gSMANs6DXw/PzckNFybUpWLYV21gtnbYLQARNjtOrOqgBLii13ps/Afr9vlE46m0ZgaSXb09NTbqbgvmDz+Tw+fvwYP/30U/zud79L4KhWrdpfnrFwJuCIiMSJdrudDYh3u12qTPHp9J30zl5k2VF2Ecz4PUg1FuUkdlyuWGbLIw5kEtflNQg8SLHlchn39/cxHo+j2+3Ghw8fEr82m018+vQpZrNZfPr0KRfCJtjcJLlMzuDXCbCOLcgJGJx1xnx/7sOCWq3VamWpZ0lWnZ6eNko8TWyVCSGCIsbOmI1PPrdLKkmMEExi4DUYaOLKQaexz3PLObiP+Xwei8UiG+RXxXG1an+ZBs4MBoOsamGdDcnf7XZjPB4nzhDXsKZ3cptEiEv6qTixnzyGM/hEfBPvlWN9eHjIBLjJMmKlbrebONPpdOLDhw9J6Gy32/jy5UviDGoqxzQWALj3rpMlLiW3gpjj3OvRKjnfF34anCEBTwKDuCPioMJzTFOep1SxcQ+OW6w2hvTkfng2xB7GGZNi9I92z+qIZikkRBzvWZkN5rDLaFmuatFBtWr/mlaJsD9i1KOTCbayC4fBYp8FOa97gewFPsEJ5AjqHwIbHDyZh5It59wYtd6oyQCYiAMrj+PnemRjuA7BVqfTyfdZrLO47na7jX4mx4gkZ+aZPwMHc2PHXfYv4b2IQy8cg4iBxpkGZ/I9B8wXpJbLQjAHKw4CHdT4M240aXmvs2lWLgAU3BuLD0qUDD739/dxe3ub4FFLIqtV+8s1L67Z/Tfi67JzfASNivGRpdoHn+IyfUgrVESQTw8PD4lJNE3/Y8pT/HpEJH7Zf7mkkH6WBB6UsKCkIhCgvQB+EWzk/ijtjIjGQt7lKCUR5jmxctfzyHslyYZa2goyq3lJzpjYKtsKlO97LL4uz9njBLuOkWvGGmfVy++Lk1O8R/DFeXj+kKoVY6pV+8u1sm8TcY2VxLw/Go0aiRNejzj4Em8owtr9GM54l19ioLJcvUy6uPqCpDo+39UUEdHYtdg4MxqN8vP0PQSPnLAvFcERhzYszJsx1JiAuUTRmAh2GYO4r2MKZVeblARTiXGu1inx7pgK2ucwPux2u3x+PocTW04qObbino9VEnm8nIcEn0UBf2y9Ua3a/yurRNgfMWfcx+NxNpm/vb1Nkuzy8jKen5+zBMSKKZw3oEImBQIHtp0mjzgOSkogn3Agdqw4P3YMw7HTU4zXCK74LD1F2GkSxRtZ6Pl8not7l1z2er0knZxdpu6dBvE41dJpAoI0lDSYoJxyUFGScWVDf+6f+yWTbrNiwJJeA0PEATAcGHlh4PIU5p6g7/7+PhaLRRKIEYdAx9meY6VAZSnK09NTrNfr+PLlS1xfX6eCrgYp1ar9ZRq+LyKyHGI4HGZJN82D2bAFVZWbzUYcfBm+3udFgXt/fx/z+fyrMgoUzCx+S//oZAj/d19Jk2DuOYOalUb/YA6kH9nuiENzZPDKpJTNCi8TYWXyw8GMg7ly0e+STI49pjAjYHJZSWllecixpMsxxbI/6/cJjDArvJ39LxM45e8cx5hZo7DrZ21UXK3aX7bZl7iZPRUYxhl2Bab02g3c+XG/LBPsqIcWi0WjPHA4HCa+uVyxXHNTvg/ZAxnnuMOtAZ6fn7Nkr9vtZk/k0WiUMc1isUhfSNzGe8RXpaoJ8u5YEoE1vbEEVRn+3GX6xC18HoMIMnlFbMR4eJ25cbIFzCW2c/zBZywqwBz3gLvGH4hM4ir/lOSdfy/PC0nG2oNrcd5a6VLtrVglwl4xZ9cpUex2u1mT7p1FTk5O4t27d7lwp99KRGRZ5MPDQzZ/LFVS1OhDnEGCffjwIcmnH374oZEJPj8/j8lkEr1eL0sf2d6WJsY4fZyoWXlKWAi8ZrNZNkZstVoxGAwS8CDx+BfAoY8N1wP83H/MC3mUAmSKcN7b7TbBaTQaZaYGlRVkF1ae0wFbxCGYcINIQIVgzgSVJb+Aa6kUoOzRjTmpoQfoLON2LwCCU4IWnj8LCeYTcvTm5ibm83kDnKtVq/aXZ24wS8kdfcOm02mqo6ygvbi4iMlkkmQTi0x8/LHyDAIBMtsRh112O51OvHv3LrHmxx9/TD/NNQeDQZJBXiTjy/FTLJgpx2Dhu9lssgcim4kQfOGTCapQNu/3+xgMBrnYZzfF7XabJJuDrVKRxftWGRNcnZ2d5U5qJFq4Z8+hAyAW8sYGk00cx9xbNWeVuIm0Y/1ReJ6oq48FIybdHFCUiSg/a/CG8tr1ep27hlarVu0v17y5CiVvJCQuLy8bZYL4p+l0GtPpNHEGoockLj7+GM64aoQ1c6/Xi3fv3mUy4+PHj+lzIw4EHWthVMUuiXSSBjIFv4zCeDgcxmAwiPl8HqvVKnGm3+83qmTco4xNqogRwLbZbJbrfGInfLOTNcYajLLD6XTa6I3MPVMa6QS7y0UjooHXfg/MIbZgjVBuDsY9OaFOHMImL8Rejs2MmZBfKO/As4hmxQ3ndrWMld0R0ZiratXeilUi7BXbxz7LICCoIg5MPwtoHBnqMRyt+5uwKIfMcZbB5A3kG9kOFssQS9Rp21Eekxj7h3vAcEA4d3q3QIK5nt07WUY0lQFkhKjTb7UOu5pYtXUsK855WNTTn+Xk5CSVA5CN9GArsw7HzPJiy5TLa2MuSTxWBmnZN3NsqS9z5cVDCWxl2ZDLSzudTgyHw7i6uorT09MkJ8usf7Vq1f4yzT7FZIt9mdWxziBb4YpvIRMLmcI1jmEGWOYyi4gD3hg7ynKM0qw8QmWFD6YBMgvy1WoVm82moZT1eY2PVridnp4mZhGUOTgwqViO2eME29hoBd87m83+jz63VGwx3rIEJuKgWONYByaYSz+PlagQkPFsy8CiVC/7eYFfrCvAbBJL6/W6oUiuVq3aX6bhs1iz4jfLne4jmmXaViv79bK8DT9UVlDwWWMNr5s88uslxjiesX+FAOIc4AOEDSQYyXQnIIwZxDHEIJ1OJ+M1yD7HgOWY8LvGA/4liQTB9/Dw8FU/Rs5Rkop+j/ftr42TfwwDeaa+hp8ROExMU+Iy131NdOBnRnKt1+vl+75XkjkVd6q9JatE2Cu23+2/asoO2+8d/3DCm80mQQXyCAdKAOPdDiOiQXhZCsz/fV3vKkLG3DtIRkTDIUMG3d/f53h9LCTUbvfShJng5O7urjEW7hM1gTPpZPDJ/qB+497KEhUW5hGHHjMEfzjRyWQSFxcX0el00il7xzQDpBf9EU0i7FiPFJ4NIM5nGZMBgvMRnHgeyKK7nJW5PEa8dTqdxrhRN/T7/bi8vIzf/OY3WXL7+fPnWCwWtW9LtWq/AMMXuYkui3t8fcQhi8sCvdzCHV8BcULfSXwRxzlZw8KfcxPYGKfKJIDPZZKJxbJ9Ka/hJyHYNptNbDabDDIiotGPhqCGIILWAhBWbjT88PDQKJnBCEIg0LyY53UUD+fn55nE8W5btpKgYs6OKYgdLJRYUCayOJ8x6rVmxA44y3M7EOEYvlOnp6fZW+78/Dy/H4vF4v/z97RatWp/voYfdvm4fUun00m/6Cb34AzrfPtzWnm4iTuYYuLLCXX8sHvqPj09ZW9Ml9s5njHOPD4+Zgxk1VGpnF2v17FarXLzk4hojMFqqOFwmMlpCDX6izlRdczw15CFxFbg7Xg8jouLi/S9nO+19b1fdwVROTclAVcm3EtyzUk0iwAiIlvmOCFnItSEVplw4TtFr9F+vx+TyaSxQyTnIHaqRFi1t2SVCHvFTk5OGg1pt9ttdDqduLu7i36/n04EMioisr+Wmfper5dlgoPBIJtIQjrZKNHAsdze3uaCliaQT09P6bRPT0/TUQM4OD8CiOfn5ywvub+/T6YeZ3hycpLS6M1mExGRQdRisWg0+scBbjabLN90Hf0333yT9eUOfCgT5BwAlQMYwGS73cb5+XlutbtareLp6anRQBnjvgGfwWCQxJXLIV2jzz2W2RVn2AEB75DjjFTZTLlUXABSyK9NhEEidjqd+E//6T/FdDqNbrcbHz9+jC9fvsT333+fQVm1atX+so2daJfLZfoSiIr1ep2ZZPwYC3i2kqdMo91uZ/l6RKS/JJFQZrApWSSIMflCuTsBB8ECWXEnG5xgIaCiBAT/7qQI7Qbw0fSUWa1WuYg3SbdarXJHM5OCFxcX0e/3s7cZQR1JFQg/ghI+53/Z4ZleWZTocH0HDRFNMsw7bW2326/wALwxbpSqCeaba6J+82fLnmX+jMkwCC+/xs7VnU4nLi4u4vHxMebzearxqlWr9suw4XAY5+fnuXs8pMR6vY7NZpO7Fju5v9vtYrFYfFUd4U2e3DsMPCmVUlYZsZbe7XaNmIYNx/h/xCFJbVKnxBkwLuLFJ7tSJeKQYCHxslgs8j5N8g0Gg4xpTLJNJpPodrvZvgYCD+xzw30+Q3LEMQ1tZYj7druXVirEj8aYMmkOzphAcn81q7usWMZcTu+YJqKZiOOcFhGYLOP/3hCNeJTk/rffftso1eR5odRj3VKt2luySoS9Yq12O/r9fpZ1mMU3KDjDYsnwsdIJMgQRBwe02+0agYqzKefn5+nkKEd8fn5pzG8lmbMijNO7XJJtcc8SFtYPDw+p5DKoQfgQ/JSL7/v7+8wwc49k7iMOO3AxNu6HY/0vgOZmztSsA4IENhBUmFV1du7lfZZlK6VZBcZ9ApJ27D6PS4WcmTExiUyYIHUwGCRgs/iYzWbx5cuXuLm5yYVKVYNVq/aXb2RRKTEv/bB7RZULXRaaJFpMmhhrrDBz4gb/1m63c9OViEPfEfw7xJAXyvRRub+/z01a6EnpZIdJIasS7J9LtYIz3l5Eu1k/ftmNlcFY8AIrFViUCK1Wq4iIVEFAonE/BDVYiTU8h2OK4GOJjJKI83hLLHFrBe6Z33lmVlgzLuYfvOVY7tm7hlarVu2XYfjKsq8j/cJYV7sHomMB40xZnuiYBr9FG5eIw1rapZgRkeorYhQTYfanJM2JUyCRSpWUVdFl/9+Ig5oMw987/nDiGuLI47YSGFLQc+H54ZyQieAMCRdINPAaYx64Z+bAMUqJD44XynuOOGAO5+W6Vn/xrEzi+bNWBloYAc7wQ6LOfUZdRlut2luzSoS9Yiftdrx//z6Wy2Vm6SkbgTzCCXoBGxHZMP/5+TmWy2UquPb7fZIg3W63oZhCBYTDeHh4SOVZRDQyNnY64/G4ETBR6w0I0OfFx+x2L+WQNDGmGSbZeQc8OGB6s7RarSxPMQi2Wq149+5ddDqdJBBx8Miuu91ugkDEITBCrcY8OKuDowUgd7tmw2dnksg+QVw6ADIhV5ZXMj8OIt2jzWBjtRjn5Zxs9UyAQyZpPB5nGc7l5WXj+OVyGT/++GP84z/+Y3z8+LH2balW7RdkqIZR91JqAtZst9tceOJ//fP8/JxZVm+8Yb/J4tRNf03qPz4+pjKNhsWc36UupYqpLG9xHxUHMdwT2FlijTP9JpHw5/hjSJ7T09MYj8fZ6B8VA/6ZY12ugxEMQeLN5/PM1nOs1V4ObKyOQ9HGda3W4l6s/PLztuLL5UNlaSfnNSnIOQhYnXThe9LpdGIwGGTgy2Y6q9UqFotFBinVqlX7ZRgla2dnZ7nZCP6XGMSlgSY/8DOsTTudTqOnFkl6+vp6Eyn/GGfa/1toUOKMySR8H2Ms+2i6jQk4CCY9Pj5mjOMNrawgMym22WwaSQ7GMplM0qc6dmAMCA5cRujEzna7zbY5tJPBEA6AO9wLBBhjcPLKCTJXukR8nWjhd6u4uTfwxGQYz8HndOwIrpLc7/V6qcpmHUFfttls1qic8aYI1aq9NatE2Cv2+PSYtetXV1dZzrher7PZIUEMzhvihjLIiANRg5HJAHhwjP1+Pxlzkz44odlslo6MEkCXFpLVh3xZLBYZmDiwgJBjl5iHh4dYLpdxc3MT6/U6lstlI+BxpgCjf5XLcggMCBS4Ly/2cYjstAnoWj3AtcqAxFkgBx6AC31QAL9jmYdjQQljBJBpnuwMPZkd5hEVAmagAbwZz3Q6jX/zb/5NTKfTuLi4iLOzs9hsNrFcLuPv/u7vMiD8/e9/H7PZrDEP1apV+8u2m5ubeHx8zO3lJ5NJJgXocYJ/ggwriRMSMryG/7A6CF8N9rgnWalkZncsMM2JBivI+v1+RET2AuG8LKojmrsvU/I5m80Sa0z4lOWDpQrbSrD7+/vEiHInTK7tHcXAEgcQxrSyBNIqB5/bCaAyM39MvWXjeu6TacLN5T+c0zsR+xzlOd1zkmezXq9ju93G9fV1zGazVLfX0vtq1X5Zdn19Hfv9PglyCDFwZr1ep991MgU/iM8nCWw/xDH4Rf7vNXNZCdNqtXLnSq5pnOGHtfZ+v89dDp2gdwmfG/pvNpvEGVrWuPwvormJTBl/gDX040T4wFjcSoDECkpkJ4E4BvxlXstYxDGN1XH0KYNEKhVcZZzjpA/XMfkVETln5Y73x5RkXANFOITq+/fvYzAYxHA4TCy/vr6O6+vrjGMh1VAi13L8am/VKhH2iu2eX0oWnfWIeHEKNBN2thpSyqUKBCw2nK+Pc1Yg4rCtfflZnPn9/X0DLLgOiidn8OnXUmYPuA7nZfHOPTkDXcprrYxy35j1et3IGjgDERGN3gPuBWMSCSUYyjnGx2d8bd5z3bwDEjtz7q/Mlvh95o7z8npJCJalLXyO+eZZdrvdGAwGMRqNsiTy6ellY4XPnz/H9fV1LhZQSVQSrFq1X47hM10OAbEFKUU2PaK5464Xt04YYPgyE0X4SpffQ7BxPpem0Hfr8fGxURrIYp0ABL/HIthBgBMwzuSXJaDHfJ+DHf/fpSYeP/fschmubyUdAR1EGhhsYo7r8TtqanC2HNex7DzP5bUsPebP8rsVZS4vOpbQ4ZlQhh8RqTBE/UH/zlp6X63aL8vW63WWsOHHIZlQXJGQdsWHywfxW2X5ZLl2RqELlrDWt5/G8HVc3+MjgVHGUpzfCQOrqSKigT9WkhFLRDR9ql+3fwdnaEvj1jXlOJzAd6xh1ZxLKV1K7xijxBgrtxzvcA82VyaV/zou8nzYHOtZcQehhuocZR9KvOVymf0nnbSCKKyYU+0tWyXCXrGn56e4vb2NXq+XWRT3oSKzDVlGg3dILmS/LpnAKQMMzmZA/LCYdXNgjgOocDYs5iGeut1uOm5IpvPz85jNZqni2m63eX3GSHPkp6en3EL+WNYEswwYggkABbBc3mhCi+AHQCF4MtCORqOcb3YzMQiU9fI8F2/H7HlzZsQkFu9FHFcSML8OnDjePW38vQBkzs/PYzQaxeXlZUwmkwTS29vb+P777+N//I//kbumPT8/Z7BSrVq1X44tFov0GYPBIJv2OrNOKQv+1QGHS8gxsAHlrbP6LOb3+5ddfilxoEcY+AX5RvlMRKRPB1usxsV3gjXerIQxUl5C4+KIQ/KiJJW4v9KHRxySURGH/l4EWlYiO/lDxtsJC3CaAA0MLFsD2LjXEms8bieoGG+pPsMcBBmbHNA4iPDrJuhIugwGg1wjXF9fx2KxyDYNlEhWq1btl2VUsez3++j3+zEcDqPf7zcUtfgHfJtJfCocnJy3kpgYBt8KRoAzxDPEHBGRVST4K8xVJZzLZfERkcS+YwHHQqenp4mZEYdyRfytqzcimokI3sNnEquwiyaKOsz+mWs7Pjo5OcnNy2iQ715tZUUMOAUGe1Mbk0klqciz8vs8J5OGFhT4fq2y8xrDIoVerxej0Sj6/X48PT3FYrGIP/zhDzGfz2M2mzViUuLfmuCv9tatEmF/xCBo9vt9Q6XETlMXFxfZ3JysCotafnfzR5y0g5OIaDDzfp3SCPpM4cSRM+N8cLbX19eN2nYCn8VikQScMw/j8Tg6nU5Dbtvr9fJ3E0K73S4BifMilXXwgKOlp5izIAQadtY4XrJABEs4ZjdrhhSDQPO9cH5IKEAW5R5g5l0zXXrKvTqw4TplUOKtj50d4viIiF6vF8PhMMbjcQZZDw8P8dvf/ja+fPkSq9Uqrq6uYr1ex8ePH//o9szVqlX7yzQypiRR9vt99iTp9XrR6XSyd6L7SFq1RfaY5Aq+CGKIACXiUALCghW84FhIfQcCEHHr9ToiXhbH8/k8cYcSSXYlLPtmtdvtLOcHQ8A1sIOkAP7WYysX7D4u4sUn+7xWptnw45wbbMKHk0iCrAOXyqRJu33YJQwSysoDZ8/LZ839ltl4B4dOnjmLX6rAMXCNDRe2222uDUiAlVhZrVq1X46xtvXGXE6ggzOoSCFh7MvdRwrCi/U5yW/jDPEKx+P/8b+j0egrnKH9DP7dLWF6vV4mRxaLRfp4Jwnox8z12JTK5BOfYTwudcf/OxawCjniQLg5Rip9uXuNmTwrS065phXJGHFkxCGR440AuEernRmrVX4WNpRWkmTcf6lEZgzEwajAbm9v4/r6Ou7u7uLp6SkVyeyQSfltjW2qvWWrRNhrto9Gk8K7u7tk9FErlfJYnGlENBbmLgsBOKjDtyyXY+xYXTbjAAYnTMYeMCkXzoAGO69gpRyYsY1Go/w8/bwoi3GjYBy0SzMBLxxhv9+Pfr+f2Q2ruZxpsPMvyzX5Qd1g9RXXZ0xu1mzZM/+nyaeJPKvHXmty7CwKwOEyFQJCv0YGqN1uZ/ZqtVrF9fV1NsBmHJvNpgJFtWq/UIMMw4/wO4ot9xbBH7tUEr9MUgN/BblFH0v3AwNrIpoEEQENx7HIZowun+GzYAGN8d0LhPMSEIEzZJbxw2667/IY5sQlOlzXQQaKKHCgJOPK0kSX3diPH8Mz34vL+P1/xkeiB4KMwA0yzzhiorC8jhXZHn9ZIokSg2fLFvU8B5f7WHVXrVq1X465dB0fQnIcX+XyeONMmZygV1jEoZql3KjFpXxUjTAOJzkiIrGI44wzKIfLcsvVapW+1mtw1EwoyXq9XozH4wbOuKeXK1M4hvMZE6ig6Xa7iacmpVyGz3hdKsmYSpUd2OgyxGO4wjzzunHS6ivHM66iKUsebWW55TESjPiJZ0uf48Vikco8xugYse4UWe3PwSoR9ort9vtYrVa5Ze9+/9Jocjwe526O/OF7URtxyCCQocDBu0E+jdNxNF64O0uC2Yk6o352dhZ3d3cpa0ZCy2efnp5iuVxGRCSRRyCCtdvtbBJvWTMZfs6LYz85Ocmmuw5udrtdKhkuLi7yd3aqYlcRHD/NJ5mziGgEazhfgi1KWNyrxj3IttvtV7X+vV4v5/38/Dx3OEHJx7W9OUFZ1sK4/H8/E0Bzt9tlUEYzyefn5/j06VPMZrO4ubmJ6+vrOD8/j3fv3mX/FnZ9q1at2i/L8DOQSaitUFBZiYxa97Vm7961lsTM+fl5TKfTRn8Wk2X4Wpdl49NYvFNKc3p62ug7RUDB9vCPj4/Zg8oqM8ggsG8ymUS3202V836/z/PSVNd4x3XK+yX4ury8TDwkC01jZebKGwcwD1ZsESCYFDQpVqqwXD4TcSgTYl4ZG1hs/+7kj/u88Z6v47ERLLKeAAMpN3p4eIjb29vcIdKJHQLAatWq/fLMJBMGzrDOxj+TUDm2cRPHRkQDZ05PT7MFiNfKVrdS0n6M8CFWgGTCh89ms4xpFotFREQmj1ECo7bq9Xp5ndPT09yAhqqMiMhdiynPt993gon7i4g8Nzja7XYbaif3CSOmM+HlHpr48YiX2IyxE0OUBCH3jpChJBh5Xs/Pz4m9zLfVx8aUMsFzzDwOK/IiXjbH+fz5c8Yu4DXqO9TRlHRWq/bWrRJhr9hJ+6VXFZkAlzrguCyZNfl1dnaW2W0ko8iS+Txlhe7tBQljsge58pcvX9Ih4dj7/X5Mp9NYr9cNgLIkljEAghBBONher5eBCUQZC+7FYpEBEAvriMighHlxVsKEE8ciw37//n3W2rsefb/fx3g8jsFgEP1+P4Mh989xySLzRn8YznV3d5fAZJLKmRTum3JIN7qMaCrRvAsoJa5kgSx7ZiFAxoi5fH5+zhKVzWYTq9Wq0Tvsd7/7Xdze3tZMfbVqv1DzDsCQXeALKip8GH4LzGHhbH+G/7u7u0t//PDwkP1gIMTKzHy73c6F/Ww2S982Go0aZSzr9TparVb2dCHLDqYQoJj8Ao+63W6MRqPEjPF4HBEvPnexWGRQQ2LAJZHljpkO2obDYUM91ul0YjqdJjnkrDTJCspOWay7ZMZqO2OAMcvNpSMOKrNSvcd9cKyVYVaCub8O1wL3TMSZpHQiiECIpBXX4H4Yb7Vq1X55NhqNGmQXa+jXcAbfY5yxT8KfbLfb9EcPDw+JX05y2zdHRCbu+ezp6WkScsQn+HtKObkuP2AEfpZ2NcYZYiR8JLhF4n65XDaqcVjLe7zgYKfTyTGWil/uyb2M2+12o/8mYyMBXybeqTLCl/M+5wWTwAjGiULOFTfuXWmcgayyKgxlWUSzuscJGrco4NlRmmr1+XA4zF0urRSrVu2tWyXCXjEW3969MOKQ+WWRaVmtMyg4EYITggSXpJANGA6HCTbO/OLkWOSaaOKH4GG32zWUajgpl1tGHGSwOFZKDgFFZyyc4cZc2uimlgRvZQkO0mEv3t0gmTJHmkTzWWTR7mmDk2Y8BF+Aj0s5y0w+9+RySADBWS8+550vmZeyhJNn4Xng2bGYQAUHucdGAASVkKPVqlX75Rml4/anJuWdPTfxZbIDf8jrbFeOz2y1WrHdbrN8sFTUuvzRwY19HD/4T1RI+OYS99xXhvtg0e3yCQIxZ8N5DfMCvfwpy0LAORNSJpzIbBNoMWeotvg8eOF7KckyrsfYXRrj8sdjvbkcZIDrfpacpyQrHdTwu++hVJ+5j03tEVat2i/T2BTE61v76rJ0EV/m0kT8MkRYiTP7/T42m02DNDKxwjH4WZNoTirTYub5+bnRXP/+/j79IucySYbfM844ecB5rALj/p0AP4aPiCDcmzMiGscS51gRDM6AfyiVHVsx35yzLA2F3OK+S6wwxtrHG0s8x46fjuFMeQz/Qsxtt9tG836IQuIaK8Mr5lT7c7BKhL1iJycvO32w2GeB/PR02OFkt9vFxcVFOpPlcpnN3HEKm80mWX0US7vdLj5//pzXubq6yp5SZGdQGNkh4jjJehDUoEJqtVrpqObzeX5mNBo1iCfKNOfzeY77w4cPMRgMYrvdJvHHOe7v73OB7bJGSCACETu929vbBEsIOsgqFGqcYzQaxWQyyZJL+py4R5sVXmSfIJnKhpA4dPrmcM8ur6HsqNz5i/FQ1gNAWWFhAgylRbvdzrHznPns9fV1yrV/85vfxHq9jh9++CEWi0UlwqpV+wXb1dVVkhkR8VWwcH9/n0GEM9DOtlLuSLNhki74RRReqLDcuBeCizJusAY///j4+BXWEFB523SX8TN2cAE/jers4uIi+v1+ltsTQKFIK9VLbsZcBjW73S6Wy2UGC85kWy3MfY5GoxiPx9FutxObKZMhkHDARNKIhJZbF5hc4/gyGHGww3jBQubT5f0Qbi6vMQnoe/POlfy4d2fEQbFXA5Jq1X65dnV1laV1EQdfhS/D57RarcQZSvPop4Xf8u6S3tX95uYmcYaEr3d+pPrF6mX8EjiDP2TDGDBjtVqlyogYwEltxrVcLqPVasVqtYqLi4sYDAaJCxEvuzTj991KxWt7kjROlBP34WNdVm/lnGMaVGnehIDYEVygnQH3gr+2ystCgIiDb7eajeMserDq260ROJaYBtGHiUhjnlVvVBixYVir1crdiofDYfz4448xn89zY51q1f4crBJhrxhEmGuyIbMoZ2m327nALxe8OBB20aCuHQeCQ31+fo7ZbBaLxSKdLqz85eVlZq/ZnZFxRBz6wgA+79+/z0zLcDjMHVhKsMPBsjvMfD7PMSIffn5+jtVqlSqrMhvjEkPmC2Wbe5+t1+vMKkGEMS+uuaeMhbrzu7u7r7LfnGO5XGa5h2vlrTYz8cVzQXEG2Fg94FJHFgzecppgJOIF+NhCmB5yEIaA+fn5ecxmsyTBhsNhXFxcZJnp7373uxqgVKv2C7fLy8sk0fHT+DB8btkL0Q10nUnGv7FLLn7eC+bFYpHBggOUy8vLRml8RHPXqojI905OTuLy8jLG43GWtIM1lAOCc5BgYM1ms0l/j78moCLTXCYHINPck3I4HEZEpD9/fHzM3casEmi1WrnrMiUzEHzgjP0w88Ln6WlprANvStWX1Xs8LydoSkLLKgnjEffFeoBkjhV2YBu4CPlpBQRK5Ioz1ar9so3+XahD8ZkmRPCt9oERB2URfo5ycVqEQMa7DHw+n2dMA87QH9I7wTu2iohUGDGWyWQSw+EwRqNRDAaDTFxwD8QA+Gr8Ncq0iGgozOzz7RetdttutxlT0RoGPwuGuaoFEuz8/Dxxht7QxFGQb+4Txnn3+/1XPS0x4jLjC/dSPq/y3JzfKmvILM5D/ASJ557TxHhWPPNexGH3TBJLEKROilWr9udglQh7xdon7Ub2wrtxOBChH5XNmWWcBYtcCC0ChYhIUodzu9dIxGHnSDLUpUPkGBw/i2aABlBjlxiuh1Nz9thEmTPNDrgAjIiDDJnstjMOgITBiiCCDAJZI2cguD+IJ8+r+3Q5MLGk1yUrVoGVgGFyq8zul9l1l/A4c8RxSJdRLtzf32cGiJ400+k07u/vU0VhwKtWrdovz9ws137N5BX+0OXtWFnSgn8lWcE5OS9EFecGn1j0u6Qcf8c1vSg2aYa6ieNcEu/rUbLu6/O7MccEU8ShJyWYRtkJ+Mvny7nzsePxOHq9XgZTzEkZ7DGnx7LtHOcSVY/TmM/c8Tmw3Hjja5bX8Ofc7sCEHOYeYPTmIekE9larVu2XazSjZ63KetXkOmti+1vHGhGHXohWe3E+r4PLJIzJLcodTeKUCjXepzoFn1riDMSRNxuz0tgK3hILja9W+BoXianAubI/JGMCZ2jx4moeYjswqSzLdO81x3OO+4yLJHhM4hk7wD0MEovPusKJuaR3mMku9w8rlWpl2wSUYmBrtWp/TlaJsFfs9OQ0Li4uUkLb7/eTqLEKyyw/zu75+bmxW1a3282sNGUYZOXZbZF+UWXN/cPDQ9zf38e7d+8azs9S5YgXZ+d+X5RmuncVYPL09JSN6WHvUTdFRGbqnaVmcU1WAeCj7ITdGf05iCQDDjuLvHv3LneWPDk5yeaLd3d3mT2i4bxlyZR3AiRky/mJOEiVS3Dh3iy9Zu5Q67m2fbc79F1jDO12O7777rs4PX1pAv358+cMVL755ptsGPl3f/d3cXd3F8/Pz3F5eRnv3r2LX//61/Gf//N/jh9++CFWq1XN0ler9gs3CKhOp5NZ6ohDL0NILbLaViARALhnCI3jKTcEa1xCR7YXooSMML6Scn8nEMrAiIRNr9fLha9L+sCQp6enmE6nWT5phZPLGPHLViqglHLCB1xg8Q2mEdx4od/pdKLf78c333wT3377bZaxf/z4MTGMshDw7fn5Of22yyR5BsyFSSyXcTIWnoeJRvDVO4HxGYIvq9F4npBai8Ui59dJJ2+4wvdos9nEYrH4ijSrVq3aL8/AGYggfLFLyvnBD5qYwt/j1/A/o9Eo8YTqD7dzAWdcXomvHo1GjaoPk0MYiiXamEQ0ccb9iKfTaZZPEoO5F2VENOIgJ/1LnwyxRaxgUQDjYm4gGVnns2EAY6FdDrEE+GRSzvdMD00/D+4bc49QkiXuZw0OcJ0yBkI5zjxAkq5Wq/jy5Utemzjy4eEh5vN5jpXkPvHO3d1dXF9fx3q9rphT7c/OKhH2iu32uyxr7HQ6Wa7BgjXiUKKCM8JR0qsFBz4YDFJCSkaaEr+np6fo9Xq5g9bNzU06KDs2O34cDUQZhBsOkTLDp6enlCGjwsL57vf7+PDhQ0PRZOXXbveyuxZG4OBMiIMeSiqZDwcHAGin04l3797FdDqNv/7rv46rq6uU4gIOo9EoZcLO2jAHnm8cNXPhXmxcv90+NPyMiIbUuSzB4XVnnZh/lF1kQayqAxROT0+zPp4a+dPT0/j222+j2+3GcrmM77//Pm5ubioJVq1atZjP5+mbSWB4UW6yyI1tXSJHYEBJBhlpMrStVitJEXxVRGQZyW532KXLZeD0VgQTKGunzyP+GBUvKi3UwfhwggqCIzeah2xCfQ22lWoyL/gjopF5dlYfTOr1evH+/ft49+5d/Nt/+2/j/fv3cXZ2FpvNprErZrmjpNXCzuBzvJXOzvZbOQdGkWiJiMZ1Ig4BjD/n8htwhyCEYNKlq5T5EMiiUKZEpWJMtWrVIl58Pb2cWNu7EXtJQuGb8NFO0NPOBLxiLezkAMQP18ZnQk65hM+KJWIaV6QYZ0p1GUQNvt8VNy7Z5L7AvojIhIfJKK4FYWX/6hJFlza+f/8+ptNp/PrXv47Ly8tGGxtims1mk3GXFWAl5jimiYjss8w4jql7Id6YMwsPrG6LaKrKfS63CmDdAWnpclS+G7SaGY1GsV6vs/1BVR9X+3O0SoS9YvvdvrFjCBLgcpcqFqUmZyhLOVa6iLPr9/vZEwVlGAoz1F3utYWjjzjUs6O+wmGXC2uM4ITzMb5ut5vAM5vNGuovAM8yWv9u6a4X8BgZIPfeou/Z1dVVqqc4lmCLc2Hch7M6DtQ6nU6jBAjgcDbfc4GKoCyvdObI9+ReCd7tDIAgWHI/gNlsls+v0+nEZDKJVqsVNzc3MZ/Pa4P8atWqRUTkgh1fSuLCDXhdvhJxUCc5q+2SCTdhh/xxcgCfXCY1Ig4+nuAk4lAK7x0JwZqyLAM/7wDFRBdJIoIQPsf7+FMrCEwAEqh4PrgvMIlNTD58+BAfPnyIX/3qVxkA0uTZqrOSMDLOGNMhzrgmZJ4JOGON+4S594sVZaW6rLz+fr9vjNeJJgIkk5fgX+0LVq1aNYw1MiQUa1m3PoFI8dqXpAsxiZMVKILx+fQjtKoKX+WSOipbynLzspUK14g4xDzug8X62nEWuENrEvyhE+hcG59tRRr/B9/w8azvGYtx7urqKq6urlJ1HPFC/kVEg1wrzckdt1zx7swuOS2VxxiYhADCrXm4rkslrdhifp3Yt5H0KmMdN9enasqCg2rV/pysEmGv2G7/4kwHg0GMRqP45ptvsjQSKa0X9AQT5+fnWQriLWbJPMD4f/jwIRl+mjxGRGOnRJf3LRaLDJJQDazX6/j48eNXdd9kTNjGmNIPShNxihBjZO0pP+R8Z2dnsV6vU0ZLsHas1NI7s5R1/v1+P0ajUUyn0/jbv/3buLy8jF/96lfx6dOnuL29jX/8x3+MH3/8MRaLRWaPIqIBev1+v0FWsXsZBNNyuWxkwU2WOfvBgoAMi48H4CKiEUTynChhYlfLu7u7VAx2Op349OlT7krTar00ab64uIgPHz7E73//+/iv//W/5veiWrVq1SDUHx8fYzgcZqmBfT/HeJcrFqP9fj/LynnPWHRy8tLYnvcp13D5C2QbpYJsnsJCl5Lxm5ubhirY/WI6nU6MRqPc3KXX6+V52e0RUme5XGbDYivDypJHlAomwxysERjx/3a7nS0Ivvnmm/iP//E/xvv37+O7776Ljx8/xvX1dfzP//k/4/e//30sl8tYLpcN7I44lGg6IALv9vt9+n1K6CMOpCD4F9Hs/VLugungy9dzqQqvoXIug0iaElN2Aw7d3t5mm4Vq1apVi4j04Y+Pj6kMc/k6xDrtWUx4sauwccZEFqTa5eVl+vLlcpk4QzwR0ewvvFqtcrMW48zt7W2j1D0iEovOz8+j3+83iBh8N0KDiMiktP0niSWSMSRmUDpbcexxEluxeQ1N8UejUbx79y7+3b/7d3FxcRFXV1cxn89jPp/HDz/8EH/4wx8SZ7g+cRP3ZDLOO9Uvl8tUWrkk08cjHuB9K+BsJO7BKQsAOMdms8lYxwQmzxwylLhoOp1mwu76+jqWy2WNa6r92Volwl4xnAOO5urqKobDYbx//z4VWOv1Oq6vr7MOnIXwfr+PyWSS5BdOhewtGYtutxuXl5cxGAyysTrO1plvL/4tB3aD+bKfF0EFgQhkDXXq9B6B1Lu4uIjxeJykF9dbr9fZd4bMgAkqZ5JY/OMQkc8OBoOUUt/d3cWXL1/i06dPCRSLxSJms1kSi3w2Ihp1/vyOsyfrTVBmYPljVpb+OEgBQMtghX4GXNelSBGRz86Zpul0Gt999118/vw5vv/++/jpp58a16pWrdov2yBVlstlkljv37/PXbLIxG82m7i5uUlfD4HEwpX/U1KHL8I3o0w9PT1NP0sAYOWsS0GsPHt8fMyggeuDA5TKPD8/N3Y5plQSDKP/Fj4cNTILebCCsnXKKMt+XGCy+1BCDBLkDQaDeHp6ipubm/jy5Uv88z//c9ze3sZPP/0Ut7e3GfCVPcqsArMqjvFbqWAFtkuL+EzZ94XzOGPvTD+4QW9M4z591ZhDkjgEJ5Qv1YCkWrVqpUH+UA6/3+/j4uIi1+b4IuMMKmInV/BJJJhRIIER4IyVyPZHJEcQCeBvUUGBMy4Hd2IH3wjGoAoj0WLRQbvdTiWwYxR8f7vd/kqdzBrfn6GkH19Lz+d+v5+lobe3t3F9fR0//fRTLBaL+PLlS9ze3ub5SejQ7ga1sPsdRxyUxsxPRHyFRRGHEnxiHfDa4gSX/Fs1Bm6RbOJ6rvLx3Ps63D/3fXNzk8m1atX+XK0SYa/YfnfY0hZlGP1VKL3AGXi3DJwQZYWw6S6ntKNm9xVeK+vnARlLVr3VMM6abDLOj8+dn5+nA3Xj3k6nk0Qa1+V1svJe1G+32/w8Y3EJBxmKiEP5ocsxI16CgMViEbvdLmazWfzwww8JQg6yIBQZj6XIVp2VWSM7+LLkpSzhIehgDn28M1i9Xu+r4MR9CrrdbkMSTmBII9HpdBo//fRTAkatoa9WrRpGwEHShZ4iqKz6/X7sdrvcaYuABgLJfUHwW/g1l++RWIg4KI1NItlnekdjYxAlGlzb/SRRdPE6vpvrln0oTbQZvyIi+2uyIHefMkpBuQ8nNdw7JiJyd97ZbJZJF9TXJJDKIMO9WtyPE7xhjCYQbbzu0nzmmNdKxTevm4wDa3ieYBsBIgGKe4O5XL9atWrVMHCGPk5gCuQSSfNer5dkEaXW+CKOcRKE9bPL2t3f0DjjtTkJZQwllFXQVnJZwQxpFtFMaoMNjAc8sD8FO1qtVva5RI1m4ohx4MO5tnGGmG65XKaK68cff8x+WavVKv21m9/j/51wYf4c1xhr/C/3jRlrwBlwpewJ5tiK+yoxmePdYoZxe8fmh4eHJMFqgr/an7NVIuwVe35+jo8fP6ZDWSwWcXl5Gd9++2385je/yRKM6XSamVh2Tbm/v08Cx44NtRFOd71ex+PjY0PuS2N9mH0Iss+fP2e9+3K5jIhoLITJ6kQ0yyu9wGYh/fz8nMdzbwRXlhuzsMbRcZ6IQ+aCwImeY/w4gLm9vU2A/Id/+Ie4v7+P+XyeIEAJD4GU+wJERBKKmEHIWSecMc2j2c0StYLVaqVKoQy2ICkhKslU7ff76Pf7+Zxms1mWy5ycnCRhOplM4urqKrrdbvy3//bf8vlVq1atGkbA4Yztzc1NXF5exnfffRd/8zd/E+PxOL777rt4//597h6IApVsszPh/Osyc4IL1K3eoAV/i4+czWbp002qsFgmE+/eLCy03WeF1wigGBNYE3FIonAvvO6yfQdaLsNHZUzAAlFIYuW3v/1t3N3dxWw2awRA/OtFv+/RCSWTYSSNfN8Y5YkuxXdpjRXTJsJcgmmM5jomExeLRc4RCmiCzu12G7PZrPYFq1at2lfGBhqsjU9OTmI2m8XFxUV888038Vd/9VcZ00wmk7i/v4/VapUljlRBuIwevNhsNrl+Jtlxenqam4NNJpPGZ1mHz+fzrKZhbY0R01iZFdFs5u9zoi6LiIytEDI4keCeW05aRxw2aHESiZjHu1a22+1YLpfpcyG7XALJWF2h4nsxwVa+D7ZbjOCkD/gL5ntzAbDy2G6ULt/f7XaZwIcAhexiwzZiMUi8iIjxeBzj8TjXIdfX119hYbVqf25WibBXrNVqZXnFdrtNyev19XXMZrOYTqfx4cOHGI/HSZhcXFwkYQKBhnPDUZ2cnDTK6GDccYY0OcbR48DZDte7RDrD7gU8zpHjuJ+Iw2LePwQOkDksvvf7fQYoJqLsXI/Vvjsw8TGt1svuZQCRiS6MQCLiUKfP/11myj0DDicnJ405BYCo7SeAIgtFdgO1F/MXcShRKUsnAcXxeJwEGudjDL1eLyaTSfz1X/91bLfb+Kd/+qe4ubmJzWbzs303q1Wr9pdh2+02+x+ysP38+XMsl8u4ubmJ1WoVV1dX8atf/Squrq6yF8t4PM5yey+E8ecEPKenpxlkeMFqv+mgIiKSmCMj7HODa87es0jHeJ3SQ8rt7+/vc9dGkg9u3A8GQWaVpI5LdNwjzFjDGB8fHzNbvd1uG3jqf136CKHIvboPC+Y+YL4+4/GcmVBDscBz5vMmwvic8afs48Oz45xnZ2exWq1SKViJsGrVqpXmnX3xzx8/foz5fB7X19cxn89jOp1mWf7p6WlMp9Po9/uJM/h6JyfoUUg5Y8TXSlcrs6xqYvd1V9KY0ImIRgKEPlXERGVMgxqW31erVZb/e7ddMNM9N10RUsYBjuUwV/ZAFqIwA18iDqWgZUzjuIL7LCtYqOYBm/jhWK7vNgjMMXNuUq4cS0RzAxpaEXA9Y6VLIk9OTuLLly+ZmKmYU+3P3SoR9ortY5+L1pOTk9yBhOaFNNo9PT1t9MDiNQcNzhDjkBaLRUMSizMpySEyACivTAYRWHBOHCSkk6W27AjiYIjMDI3/qZun74z7gjmDH3HILpCdf83RYpZJl/3MDGruH8OcAUYEJoBbRGRzaeYMgHbmA4Bk/jg3oEp2hdch9PiX93jG5+fn2YjTJBkqsn6/H5PJJObzeUqlqxqsWrVqpW02mxgMBtlrEH/FQp7SC0pThsNho9GxS+McRKDCiohGH5KyDDyimWUH85w0ACdc1ufyCydJ8O+r1apRjgkGbTabWC6XWQrqRvQoxcqkgUvZwcxjPbm4PzDP28GjgPYPmOp54POeL+am0+lERGSCxYkmnp1LUhz8uP+YM/ycryyzdIAC1jtAc3afhIyfQ7Vq1aphJqoiXnwq1RTr9TqrVcAUKil6vV7GNCiErdA9Pz9P/+zeuq+phKhQwXd5R1zHKV6Pm/TBiA1cXslrEHf4//1+n8l9YhqIK+MZYzs29tLP+3Vwi+qesvUK9+Y4sLyGFeGQTRGHeIvjPRfuJ2b1tfsfG+9NikVEg+hyLzSroRnD6elp9Pv9bONDT+uKOdX+EqwSYa/YdruNf/iHf4jpdBoXFxe589Z2u40vX77E9fV1/P73v4/r6+sYjUYxHA5zge2dUHDAboQ7GAyyBGa5XManT58a/UAgnu7v77MpI4AE8WT5K06M3bm63W5EHEDmxx9/jI8fP2ZvMwIUS3Fh9+0Ee71enpuyGpM95+fnqVJzrzTKfQis2N0x4rAlvevfKQtlzGRYTJYZOFzuSe+ciGiU8jgwjGgGTPQFGI1G+YwgCU1WRkT2UHDz6s+fP6eqz8EJ5UbT6TR++OGH+Pu///v47//9v9et7KtVq3bU/umf/ilub29jNpvFZDKJi4uLuLi4iIiXxS+qsM+fPzeOiTgsaMEYyrjp4wF5Q1nLcrmML1++pG+EMCLTX/aLcVbe6mETcAQOLPD/8Ic/xE8//RTdbjcJO/z909NTrFaruLm5SfWXAxD7bM7f6/Wi1+vF+fl54sz9/X22FUDFTAB2rPcJP2AawQqJJPy41WFO+HCf7j/mJvdWxpVJIDL7KL1JklkxRlKGlgjsXLzb7WI+nycGG2u63W6q6Niwp1q1atWO2d///d/HfD6PzWaT8QyVDTQ9n81m8eOPP8aXL19iOBzmBlFuaM+/+Fkwh95iiAZubm6+whmTZ2zehe8kie5kNqWJxE0RB7/+008/Jb4R97hMkoRLuSskvX7xqfh3Yiz3TiahQ3KmVOoyHicyiP9I0IMznMel8SW55mRJRKSSmnkzAcnvripClEHsSRzpXmvgEfNGxQztA0p1t8myXq+X93J7e1sxp9pfjFUi7BV7enqK3//+93FzcxPj8TguLy9zl0B6q0DaOAtORgNHz26MBAY4LEroXIbCwh7ZLNns9XqdQUUZWMDi03AZkgdSi6AFR73ZbOL8/DxGo1ECGwoCyklw1izII6KR6Yh4Cb7G43EqrejFAlhASrmRorMhBjrLcJ+fn/O6JppKCTNgckxp5etjkJQGMwIPl/+4L8B0Ok1Ao38ZAEu5KGB2enqaPcHa7Xb8/d//ffzwww9f9T6oVq1aNYx+ibvdLnfPvbq6in6/n1gDAYMyDALEyqvz8/OYTCaJNf1+PxMrvV4vgxrwgtIQFskkMAgWXDpp5TBYFXFIakD0u9SPkj1wgjJ0Nwwmo8znrIKOOGSkO51O7nIMRjJ3KJgjDn0rIw5ElctISkWVSxUpaeSn7CnGuJxZ572ydIbzu/cXc+mxoCpjPUBAB6Yy3yYgOX9EpELdSaNq1apVKw3CfLfbxc3NTdzc3MS7d++y3+1oNIqIl+SK+4KhNL27u8sE/3Q6zQ1dSLrjw8bjcbY34bP4eXBms9lk4gY8IA7iMy75AzdMJLmCpNPpNJL8+F2OoVcYZBOvg3VgAfEdCi5wZrvdRkQkRnAujjPJ52Q7/jzioPhy1Y4/Ay7QjzjiEPPw4+QJ1wFnWAO4T6XxGgLTOEM8g0LO5+XcJi1JZNEXrWJOtb8Uq0TYK7Z73sWnT5+i2+3GfD6P5+fnuLy8jNFoFBcXF7mQ926Rt7e3sVqt4vr6Opv5vnv3LuvuLy8vcxdCsihlU3qcK4GB+7uQHXffEBwkIGHQMEnDOQAOdiUj6CA4MgF3LAPCa5TpUKp4enra2CbYxBLjcGbbJaOugWe8EYd+Ly6TdAaE5pcRzT5jEQcQYcwOTMrgxIoGgjKCr+FwmMQc5aPsOsbnALvRaJTlov/8z/+cTSerVatW7Zi5X8h6vU6yC6zA34MFLKTZ/fDTp09ZYnhxcREfPnyI4XAYV1dXmUUHayizc5Nc1L7O3rPZCwEGx3CcsYakA0SNfe3d3V0uvL0xijdjAXf8OXZmxl8bK+lJA9ZExFdBBUFASVAZE5wYoezHpTj861JKl+yXpaUOgNzDy1gDXjkQspqP4I1gkH+dPHK2HqWCVQbVqlWrVhpkOcl7Nty6urpK9RcJAcc06/U6FV4QI+/fv0+cmU6nuT5GWeXYBZwpy/kiIksJrfayggycwU/7XBhjIgENGeZNv4hpiKusNo44lP5xHtbwp6enDdWTE/hOWDBXpZVJd/y3N1wxuYUiDIwoSxtd3cL5mXcTYTxvx1uMAWWyk0oQhY6tOD/4S/UPG8MxxmrV/hKsEmF/xMyYPz09ZQnLv//3/z5L4JbLZTqyb775Jvr9fsxms/j48WM8PDzE//pf/yuGw2H0er24urqKX//613Fx8f9j77zjo6rSPv6bmSSTSZlJA0JviihgLwvqomtdERF17Qq+lrWtrF3Xuq69r11AQbBgBcTe14ZdV1QUpCgCCamTzKRnzvtH9nd45ubOJIEAAZ/v5xOYzL333HPvTM5zn56L/Px8u3DLDpP03FRUVGDFihU2vJW1Y6R3WOaEs1MjF056+2VXMe7PY3w+H7Kzs+1c6I2QXUuoDLGAJo1omZmZ8Pv9tq4YDWMyD5+KTDAYhDEG0Wi0laedihkXXAA24k3WvAHiiyUDsEY4uS+RaTLO1FR5HVT8OG5KSgpyc3ORkZGB9PR0VFZWWs+YNO4R3tOsrCz0798fv/32GxYuXIiioiI1gimKkhSmJ8jo3qamJoTDYVRUVCAWi9l0ST5s19XVWc97ZWUlVq5cab3uUtYUFhYiFAohJyfHRoax3qQxxkbxVlZW4rfffrOp7cBaxSk9Pd0+8HK9lOl9fFjnQ7L0VHM8KiVUnKgQMDqA6680elFOSaMYH75ZR0XKEMpPdgjmdciUQq71XOeBtbJGpuQ468bwtazzIj370itPOUNZIx0v0gkEtES68foA2IhyKWuc6Zace11dHaqrq1FZWblhvpiKomwxMHWRxqja2lrU1tYiJycHZWVl2GabbRAMBpGdnR1XoysUCiE1NRVVVVVYvXo1amtr8dNPP9mOkIWFhVbOMPKXaziAVnJm9erVVqfifBj1xSwURmplZGRY3YtrIeWMXKcDgQAaGhriopdokKN8lQ3KaNjJzs62KYIyMIDrvM/ns+PQEcKMEZYPkJk3PIbnkzoIsDbCWWbzOKOqeI3ymUCm9gPxNTMpZ3jfKYtZy5oyldfR2NiIsrIyqxs650BdkUYwWYO5vLwcFRUVCIfDG+6LqiibADWEJSAlJcVGPElPOZWGYDCI3NzcuNQJpqT07t0bTU1NqKqqQjQatYXV+UPjE5UWGl24EKempiIUCiEQCFgBwvBcWbOED+pSIEgPgjOkl9fFB3AWxMzIyLDKSE5Ojj0Pve80blHZoFdJKgbSSJWSkmI9TD6fD6FQyHq/WevFKdzohZFGO2eYs/RAOPPpOWcAcUKCaToUXrKejEw3ocDPyMiwgqq4uDhOwPG+ynvPFMpQKITKykoUFRVh1apVCb1EiqIoJCsrK86Iz3WUKZMrV65ENBpFfX29jQ6TD+6FhYW2ThbribGDYCQSQVZWFvLy8pCVlWUVBBqZqBAwnbKyshLhcBjRaDQucspZ+JceZelBZsMRqUTJiC46HqSsoYOECpGMoKKzg84oeX/kuk1lBVhbp5GKiKwrRoWCEcSyxAB/5/VKpFdfIg1kMkqLaSdU6GTUGsdjrUkqTVRMpdFOyjrKXd6XWCxmUyIVRVHaIi8vz0Z8yahX1jzOyMhATk4O8vPz7TOyrG/Ys2dPq9NUVlZaOVNbW4uqqipkZ2ejoKDAOshlRDHX/1AohIyMDITDYasbObM2gLWNWHhurvepqam2E7GMYpI1zKhP0RDH1H1eDxuBUa/h2k2Z4dRpKHfoyJGOGDpcMjMz48oHMFKM+o907FOeUjbI8jMybZNy1pnNItM6ZfkCHkO5yNptPIY1OXmNTgOcDC7gXGREHdMiVeYoWyJqCEuAL6UlkokP0qyVEolEUFRUZJUT1nABYAvW9+zZ09brYooDhUZtba1VOrp164ZgMIiCggLr9Q4EAsjMzIQxBllZWTY9s6KiwnpPnAsmEJ+SIT3OAOK6FlKRoiGMQsOtsyLDkgHEeb6pWDDXn+eUnnFGh6WlpSEzM9MauRh1xvomsrsXF3YZ8isVE75PpUB2q7Sf2/8Wfqm40Osuc/bpzaFQYxQY73ldXR3Ky8vjChjL66OQ83g8yM7ORjAYRElJCdasWYOSkhLNn1cUpU2Ysii9wABsqmRpaal9uGa6Y1NTE4LBIPx+P7p164ZIJAKPp6ULGNfSSCSCaDSK9PR0VFdX27R+AFZpYGQvI6moxJSVlbk+LDOSSzog+GAvo8F4LI1a9NTTEMbrycrKiivk6zRCURFpbm62UcPONEQa9Wh8YgSALBFA+UvZxvvLupe8J7weju2sK+k0eskCyUQ6s4C1Sh1lKQ13VJCqqqqsLJTn5LFyfFljjHV8FEVR2iIrK8uu0zRsUD+R0V50UEhnO7tHNjQ0IDU11UYcsWlJNBpFIBBANBqNKx8j0/UyMzMBAJmZmbZGGeUMdQMin62lTpOWlmY7CjMbhHKGaX+cK89HQ5izfhcd69IRw2wYuf5yPabjiM//jI5mcAOPZdAD7zPlEs8ndRPplJc/lF8MLJDpnESmLVLGMPWThsdAIGD1VnZqrqqqahUoIGUOoSwFYJvEaZdIZUtFDWEJ8Hq8yM7OjkuF40MoQ0qZA8/IqjVr1iAYDKJ///7w+/2IRCJYvXo1ysvLEY1GUVFRAaAltaWoqCiu2H5DQwNCoRB69OhhF72cnBz07dvXemLKyspQXFyMlStX2nMDa/PkuUAHg0EMGDDALoArV65EOBxGeXl5nALEcGYqVYwgo1LCTjJNTS3t5xn5JJUBFptkxxIajuilZ5oP50ovuEw/ofdFRoPxumR6I/eTqZ00ZHF+FOC8P86Cm1zgGRkhO7w0NzejtLTUCjeO6ff7bYQdQ6NpLOQYtbW1+PzzzxEOh+19VBRFSQbXJRkdRIwxNhqKKZMsbFxSUoJgMIjevXtjyJAhqKmpQbdu3VBUVITq6mqUlZWhubnZGsai0SiCwSDq6+ttxzAa1lhMv7CwEA0NDTYForS0FMXFxXHp+TTmcA3NycnBoEGD0NTUhMrKSqxatQrV1dWoqqqyHZKzsrIQCoUQCoVsZFpmZqa9plgsZg07TMfPzMy07dqlMsL1nc1jKG8YNVBVVRVXH0XWz2StM2BtSiSdLfR+Sw8902h4zUxDoSNJ1kLjZ0dZwzGZ5sPXnGtjYyMqKyutU4n7AGsL/cvvBVNz2LY+EolojRZFUdoFnQbyORpYG4HMLry1tbXo3r27LaLv9XqtbBg8eDB69+6NHj16oKSkBFVVVSgtLbVGJKZrB4NB1NXVITc3F6FQCHl5eTYyjGNRL6isrERFRQWKiorsM7usC0Z9JTs7GwMHDrROgN9++82mhnM9ZhkAdnin8U4aeaqqqqz+xjrAdJRz3WZKO/UYWYNLZsRQvjAajE3LqHdwDBnlzK6VMroXWJvhQpnCiLqsrKy4qC6eRxrJOL/09HSb9QLA1hEtKiqy18zOmHS+UabL7wWDLZjOX11dbTuOapaLsiWihrAEyEKFTs+vTF/gQy2NQ2y/K2ub0CvPaCjpkWF4MiO+ANjFSnqOs7KyrDKQlpbWykLPEFYqByzynpOTg7S0NFRVVVkjVlpaGvLy8qwxiHP0er0IhUIAWhbmSCSC1NRURKNRu1AycovnlDn2jAKTRR8bGhoQjUZtaK7M+Zct6KmEMG1E5uTLz0EWH5ZGLdnBRiqUFGD0klC4M7KtsbHRNkOor69HRUWFrWVG4U1lhJ3YZJ221NTUOG+LeukVRWkvUpY4DRsejycuRYMeeXZ8TEtLswZ7n8+Hnj17IiUlBVVVVdYZ4GxWEo1Gbdp7LBazskbW3GKHST6MS1kjo5SYnpmbmwuv14ucnBwr6yoqKuzDOZvFMF2Dx8t6YbW1tTbKGoBdjyknpUGJhjsqGdLgxfozsranjG6joiFlJGWBbFXPfSlrZLFhyhPuKw1llNeUN/xsOT4VKUZTSMWP55UyUT4vMLKN6aeKoijtgYZ1mbbuTHnnfmxewmdt6i3SWM/yJ6mpqXHpdlzrotEovF5vXKoeo7X4/E0jD9dUygBnWRGu+cFg0Ooofr/fyhmp0zDNn8XwmZ1COUJjHVMspaOEazflVCAQiKt7TFnM6C9GftFAxYhjOi5kLTLqWbIpmWwuI9McZekDGt9ksIB0CFFHAWCd9ZQvVVVVqK2ttQ4Xfu7SCCq/A7K8DX8YZS7TWBVlS0MNYQkwWFtPxJmeJxcEmUcOwHoDuFhzoaIHu6amxioyFExUWLiN3gwWc2QL+uzsbOupYfdCpjSybohMTaQxLj09HdFoFDk5OXah43ZGXHHRpaGLAk4W+uX1yRBfCgpGxcnOV7xO1hPgfJ3pjNL7w7BsAPahn+eloKLQYE0vpncyUotKB6+Dc8vMzEQwGLTGx2g0aj0snBtrnzFNleejN8Xr9cYVi0xJSUF1dTXWrFmjwkJRlA4hi647kTUg6XBhR0fpfWaaO73BmZmZ8Hg81kBfV1dnI5Fo5Kes4drIqFjKqmAwaNdWmXIpO2fR0CWNXBkZGYhEIrbLGJ0xmZmZcZG8bErCCCrKQ1kPjEYgrvdMmZEKFQCrgNBgx//p8ZYRENKZRGMaH/g5FmWkrHHmjCLm5yOdNF6v194HKjKsPSNrhMq29rJmmayZSRkoowF5bepsURSlI0hnPdcqZxo2t7MUTH19vU2FbGhoiHMC0JHg8/msYYn6AuUMHeeNjY32GZ1yhuspo66o03CNk5FW0knO1HPKpXA4bNdrbnfqCCwJQCcS32e0mIwSTiZnZAMyOvepN8juj9SNGG0tO2uyW6esGSZrgFFfkUZHygQ6TGRDGcqbxsZGRCIRhMNh+z8dLdIRJCO/6MgHYJ1GzHKhHkcjGPUwRdkSUUNYAmLNaw1cMp/c6amQOeNMmwyHw1ZYMDqMixYt9qxBVV1djZKSEgBr0wS5IPbs2dPWrcrOzkZ2djZCoRC6deuGvLw8K2hk5y4qD/R2BAIB9O3bN85bILu00JDH13l5edbbwN9ZEFPW9qKRyxiDqqoquyDX1dWhqqoKAKyw44LPyAMqTIz6qq6uRlZWFjIyMlBYWGgFYkVFhfXSsw4MF2gaxXg8U0wpzKQ3XnaWXLFihU1TpXBxizhjeHE4HG5VpD8ajdqUnDVr1mD16tUoKSlRI5iiKB2itrY2br0BENcll//TuUDPMj3v1dXVNlrK4/EgMzPTPsDzIT0SiaCyshLRaBRlZWVx3QgpaxghTKMYHS95eXm2gQofqGmckSnuAJCRkYFBgwYhFouhpqbGbpfFfLkOA0B+fr6VnXQSMbJW1taUChHbt7MrLyMIgLUdOJnyyHQX1jqhN5/X2b17d+vJD4fDrWqbyXSilJQUa3xkLU1ZM5Kv6QjjPKksMQpARl/IujE0dMp76vV6rRLKZwatPakoSkehnsB1TTYcAeKbf/DZWnZGrKystOshm5LweZ5Oh2g0alPoKGd4Djr0WVCfqYxM9WeZFhb05/woZ7gu05HRo0ePuOwMrplM7eP7sVjMNsKi04cOdqZJ8jXXWGOMTbtMSUmxug4NhKmpqXHGNxoE+T7vWVZWlq0/LI18NKgBaKXP0ADJecg0UdYDc9bvLCsrs9FxMuPGDae+w3NTvjK4gXpeZWWlOl6ULR41hCWAixBfyyLrXGC9Xq/NFff5fMjOzrbdSlgPDIBNr2PEFEN/aSxLT0+3npPq6mq7ODU2NtqQ4vT0dJsDz4L7FC5cQFlnhREAVHjY1pjnp3eZyPDYxsZGm3Mvu2ZmZmbGpY1QgNADVF1dbT0XDItOS0uLK7jPmiv0sEuvCLczyoFdV6Tg5Txl90cKTZlGSUWNSoc0orEDp+w6IyMAZDoMr5VKCu8Vw4vZWZKtihVFUdYFp5OFv0ujCddVetC5RskCuFzrGKVLpYdGFDpK+KALwEZEMSqYzpdgMIjCwsI4GSRlEx0jTD+kIY6GOZ6LxiNZBJk/nDO7PbIOGiNw+ZBOJYTRBk5DmTR80cAkuwXL+ylrb8mUSCmPZX0vyhFZaJqKDI1flGGyeQwNkRzf+RnLQtCy27NMQaWc4f1WZ4uiKB1Fpr7JTo1yG9dEPpvLBiqUM9JIxv9pYKODgA4Hph0yHZ/lVqi70MFPOUPjmmxqxTEYJSsL+NP4JMuwOCN0pXObTVsoZ2QXZiBep2FjNJmSTjkjC+fTMCfrGUv9kIY9Wa9YdtKU95PXTF2Q55afIf+nDtLc3IyKigrrRKLO53S4OMv6cJ6yPI2UlcyS4eepKFsyaghLAhfV5uZm+0AsO1nJ2i1+v98WmQRgOwcyVYU57lz8WOOF3nAKkWg0aq39rPXCHwqNmpoaZGdnIycnBz169LBCiYthbW0tAoGAVRbodWd0FgDbIYZeDXq1WciRygkFg0x7NMYgGo1aAUNvB2sF0PhFBUYWCpb58FQmgLUP/NJjwvRENgCgspeRkWGFQFlZWVykAV/TkwTA1g4DYA2X0kDn7MxC4cocfiBeSIZCIZteWVJSYiPOFEVROoJ0sPB/2YyE3nBGhQEtkVfdu3e3SkFFRYWVNYw+pkFK1kfkOHy4ZZqkMQbhcDhOYaAjJBwO24Yq3bp1sxFSsuYjH/S5pspaYGz0QocHt8laJVRoKOfoTOL9oXOEjg+msNNhwggwzl2mxfC1s5YXADtvyiEqYUxl4Ri8Tt4v2elSOswoRyjLZCppImSDGDmedNJIQ5iiKEpHkYYQue5Sv5HP7FybMzIyUFBQYI0jlZWV1pCTkZFha+5yPaehieNzvWK0FQCUl5fbdZXdHUOhECKRiHX0s+MkC8Rz/eWaLCOAOTc2luFaSzkljWEy0pcRVpwHnUGMumIUGOv+0pnD2pmUY4zm5o+M5uW9pU7GqCvKGVnnMi0tLa7pgJQDskaksywPAw9kFFii+pGUJzSMOWtcMrCCXZojkYjKHOV3gRrCEuBL8dkoKLdFxrlAsVNWMBhEQUGBTVNkoXkuNjLM1VmMNzs727Yz5kIErH3ArqiogM/nwy+//GI99Hl5eQiFQigoKECPHj3sIg3AnpMGJhZQZLoMjUUUbBQCFD6yMK/0tufn5yM/P9+GEHOhZ7qhLMwohSvr1DivjQWXmdrC2jQ5OTnIyclBVlaWbRZAI1xJSYntaiajwaRHiCmS9BTRMChrlMnPhJ8vI+o4Xx7HjmderxcrV67EmjVrUFNTo4WLFUVZJxgdK6OCZNFaIh+E6WCgrJGGF6B1DRjKDxqiuNZyHWYNMKC1U2DFihXWYcO1ODc3F/n5+dbAJo159JwDLQpQTU0NKisr4wxWrPPCFBI6gGiQojGL0WKUwTTWUemhIZDKDxUYpmLSOMf6OFQ4WLwYgE2TZOkB1kfj9bCzWVlZGcrLy62jR35WUhniZ5FMMUlUE06mrEpZJ1NpFEVROgqNVERmtkjZw1RxdgqMRCK2wzDX4bq6ujg9RjbPosxJT09Hfn4+MjMzbWplVVWVzXhxGqd++uknBAIBa3zLyclBfn4+8vLy4lL/+dxORwEjm+kcofOBzntGadHhQaeKrP/MAvxZWVk2u4W1krnuyjRF6giNjY3WMOf1em0qpSx4T9nOKO78/HxbU5PNt2R5l4qKChQXF1vdS5YjkI3CKNcYacY58h5Jgye38TOi4ZCZTmzGRpm8Zs0aW9dZUX4PqCEsATK0VObL01DEfYC1XvuKigob0UTPsPMBVtbLYkHEjIyMOGVFpnfwwVq+z1QXv99vhUx5ebk1xOXl5dnxqCzwuHA4bD0cVCBkIUUANuoqOzvbCksahLgwszMXCwFTQZBFiSns6J2h58VZ9D4jIwN5eXnWGyEVGUaOlZeXxylEFRUVqKysRCQSaRXyzWuhgJZdxWS4sFQ0ZWg4lbuUlBTrCaLC5PP5UFJSgnA4bGukKYqirC9cj+iQkLXCpKypra1FWVmZXXvpVJGGFGlsobGNhisW3JXpHfI46bThwz4fzNPT01FZWYnq6mpb2yU9Pd2eiw/XjASjnKDiQucC13hZO1KuzbJGDI9n+ovs7ihlNCPLZHojlTXZXCUnJ8cqhVK2cf1nvbCGhgZUVlaioqICVVVVcRF0iYxb0gjmth/PyWNkWQCZosQxZBFjRVGU9UEarWikkTWFaYRnamBxcTGqqqoQiUSs80A+RxMpUxhlBcAasbgGyzR5PoMz1T4SicDv99saYyUlJejZs6dN06eRSZ6b85RyQj7LU8bRMMasGK77XGfZbEWmMTp1Guos8pqoK0ijHnUddtXktcroYWeEMeUMdRunw4Up/XwuoJPHKRukkUu+L8sR8H0ZhEHjmnRKqcxRfi+oISwBxqw1WjG9EVgbCUZDF7A217qiogIejwelpaU23ZDbuYDRM07PNDunOMNqZWgt50HBwRx8RpyRoqIidO/eHUOGDLHeECoHNOCxqDwjDriIy4fyvLw8WyhZhijTo9PY2IiSkhI7nsxnl0WYKRhkcUynN4j3gVEKst4AjXvsDkNlLBKJ2E4mzsWegl6GRcsW9ADilDBec8tnvlYJZDonYcHNhoYGrFy50gpfRVGU9UGu+/SmA/HpkjLqiV7tlJQUlJeX27WJ3mlnzUSmOjKqS6anyzRFPvRTEaJBi4XiI5GIXbfLy8uRn5+Pfv362RqUVCYYGcbUCunIkWnpXq/XRmHl5ORYhwmPr6mpQXV1tTVOSW++VFJ436iAMMKLazgVlrS0NJt+Q4Mg7xWdKizWT4845Q8NUvwMZK0zIg1hTseM87Pma6f8AWDvNx1WiqIo64PTsU/DELBWz6GuQbnBaNSUlBSUlJQgFArZMizO2rzA2uZYgUAAeXl51nBGJwyd8vIYygEZtcvIqrS0NJSXl6N79+4YMGAAMjIy7NzphKY+QMcFkdkcPp/PdkEOhUJWp2loaLDR0HIMdluU9R0BWKcK65s5S7bI0irMYqEOSNlQUVGB6upqRKNR28CG+o0sLyOdItJgCMAa7pIZwmRUMXUqWd+YhkveZzar4dwU5feEGsIS4PN6kZOTYxcVhroyJ76+vh7hcBirVq2yXgS5YLI2Fr3lzq5QHDcajaK6uho5OTnIyMhAbm6u9ZCnpaXFtV2nYYyKCrC2xgjQ0j2EHvhAIGC3MRc9NTXVdnhhPjyVB25neiYXYSoWvXv3tuOtWrUKRUVFNjWHgiQzMzMuVJdCi8KRxjV6ZrgYMy3F5/MhGo3it99+w5o1a7B48WIb9iwLFct7KIWANIJR0QEQV/CRUV0UKrJwKBUbGjHZapmf/YoVK1BeXo7KykqtCaYoynojHSFAy4Msa5+wOxbTP9gVSqZ30znAei0AbCSy9Hzzob+2ttbWd8nKygKwdp3mwz/Xf1kGgK9ZFL+pqQnRaBRVVVW2Hhmju3gtfFhnVBlrVTJqICsrKy5qLTMz00YiUzFbvXo1gsGg7S5GeVlaWmrnK50rgUDA1jfLycmx6TaUqTk5OVYZqqurw4oVK1BaWopFixZZoxc7hHHubhHH8r7ROSWLRHM74XvS8MUalDQQchuNcWoEUxSlM6BjwJm+yA7DdBizIy/rbXENolGM9SeBtYXs+TzOeoopKSmorq5GMBi06zEdHV6v145FY5Z8BqehjDpKQ0MDSktLrSGORizZPZmlAmTXeMoZOtpl7TDW0ZS6WUlJCcrKyhAMBhEKhaxOU15eHlfonuNTp6Gc8fv9Vo/iduogNTU1WLlyJUpKSvDzzz8jHA4jGo3ayCumOFKG0AlFaMSiTJYlXhiBDcQbO/ke7xE/e+p1vBc0VjKriCVrFOX3hBrCEiCji2hFlzVMnLWo6FnnYuRcOOkNAeI7d3Dhr62tjUsZoWJAow4flmWxQ85NegqYNiOjCmpqaqxXRipHDB/mQs+Heu4nu1bm5ubarpher9cqFenp6VYhyczMtF4NmVvPRZg5+nKx52LMUOpYLIbKykqsWbMG5eXl1kPC+ynTSmQqDe8HIx1kLQEZ2iyVF+7PqAJnJBgNek1NTSgvL0c4HLaFnxVFUdYXPtCzvhRlCA0wTFlwevRlWjvTGLh+AWvXRPnw6yziTvlF5YZyikoQnS5ErrGUNQCsMQqArf8lI5y5bktjmvR081w0WuXl5VllhfKDtWPYMIYpNIwYk55vGuqkDKKBis4s7hMOh1FaWmqVANaSkU0K5Nyl3JXF8WX0dls4lRVZEJ8GRu0QqShKZ0EHhXScyzWSEb0yUyQ1NdWufzSK0Xgv0+qJbC5FxwsjigHYOsjUl3iMdAIA8c4CmXVRU1Njn82dcoZrMLNfAFi9gWPSkc4gA8oRWew/OzsbQIvhkAEFjE6W6YK8JhbV59rPa5PNwRjRXFJSgjVr1thsFkYZO2UNgFbGQb7H+0V5J++VvHdym9R3KCtlExkW9NcOkcrvFTWEJUIoEYzwYlSStK6z2LvMf5ddpbidi6Nc+GQ4bW1tLaLRaFxuPVMnKSgYqivrcNHLwmgqRgxQ0MRiLW2PZZSB7ALJ/HyOS6UhHA7jl19+sRFRhYWF6N27N3r06GG7JwaDQeTm5gJoWXhzc3NRXV1t00w4Lu8F2xFzUaYHn9fj9/vR2NiI4uJirFy5EuXl5fZYGQHH81FxpJcLWBu+DKwV9FToGAIsjYdSuWSUgqzDxs9s1apVqKys1AKSiqJ0GrKGCB/qZRQSFRc+wPKhVq6LXGM9Ho9Nx+CDunQecI2UHXA5B3rRmaLCWlyUYUB8urmsoyK9yDw3ZSLlB4130gkTi8WsrFq9erX14Hfv3t0WTGYNSEYRAy0yLRgMxskaGpK4nsuuyFzbeTyvta6uDmvWrMGqVatQUlJi7yNlDe8f76F0jAGIKysgo8dkPRbOl/BzpbLJ92Qh5+rq6k77fimKotCZzrUqFovZ9UY6/blGcw2n7KFRic/SlDOybpV0GACwTnGpozBKl8/ZnAP1IRntxe1MTa+oqLBjBwIBm3HD53oeJ6+DBjDW0gTWRkIVFBQgLy8PwWAQtbW18Hg8NoKNa35FRYWNQmanYjpVmpubrZ5D+c37RlmQmppqu8uvXr3ayhnKGt4v6cwB1jqypDNJyidZLseJfI8GL45B+S5rILMEgHaIVH6vqCEsAb7/GVRki3YuqHw4dxqlaCBjlBSt95FIJM4L4vR+yO5X4XAYAOw4NKAFg0Gkp6fHKT587VR6OBbfY3gzFz/W7aIxjOeiQKHQq66utsImGAyiqKgorjA/64Mx1UUqO/Ruc06y44wsOMn0nsrKSuutpzDigu8UsBQavH8UINLQRW+LFFLOaDFpQGPEnM/ns8KNtRHYzUUqSIqiKOuLjMCVxhRnYXhnIxJnkVsA1ijlFqEsPciMwopEInYdlQ4SOn5kBC/XYc4ZgJUzPL/cLmWNlGOsC8nf6bGvr6+3nc08Hg+i0SiKiopsuiKjpGgsoyIi64Xx/jkjsziHzMxMq5TJdCBn4WSn4Up65CkzaESUJQ94H2SzG2cUszSoMXKccpHyVFEUpTOhgYnPzrKph2yCJcu3APFdhBkRJTszUqcBYOUWI7O4BlZWVtqxZMpi9+7dbTYJMz9khJh0FDBzhb9HIhGrc8kC/ayNTIMUr7mmpgYA7HM9jWbRaBRpaWmorq5GJBJBJBJBQ0ODvWbpiGLKvLxPMuWd95iyhQ4cKaulzJT6hDSESUeKrDNNvY9GMFlHDGjdnZg6D+Ucj+OcaFxkTTTn8Yrye0ENYUlw8+gCiHvwlvsy1FSGxdKARkVCPgTLDifyXHJcehVk5BkVCFm7RNbOkuch0mtDAxULLrMeFovBc5FluiSVFgoxRhTU1tZaj5LMYwdgDVFSuaOA4/5+v9922KytrYXf70d2djZisZjt7sVzUEFwGsAoMKn8Ob1e3C4/ExnNB6z17AOwc6SwZWF+Z1FKRVGU9cUZPQSsjULiA7dc2+X+lBuyFpVcp+Raxwd2ru88D9dJKi9ynZSdI2UtGKdhx4lTLjHCgOs05Y6sgUU5SMWKso7npkPKGYVFJYevnZ2+gLVdkBsbG23ENf+nh5zKi+zS6LbeS3nCefPcTqRjSo4l7x/nzGhzTU1RFKWzSVRKhOuofF6Xa5A0aDnrVMlUSo4ls11ohHHqJjIzhY4JADbKWKa0U3Y50+wJjW/SgU9dgJHONTU19pqlAU86Vurr6229TWcTLp5HOqWkIUzqIbIDcn19vQ0waGpqsvqNvPeJ6h075Yy8hxK3iDD5vrxXzpqWrNWmHSKV3ztqCEuAgfvCIKOdpDVeGnqYwsK0OkaH1dfXxxVx58Mz89Zp5JKhsxQarOHCqDBZ88VZy8RNEQLiPfhUKuilkQs6F0sWUozFYli1apWdH8OSKWQ4nux2wvvjbHXvLNYZCAQQjUaRkZFhvTqpqakIhULo168f1qxZYzuZOI2JhEKPddGkEYwKGLu90MMCxEcuULizzozP50NJSQnC4bB6SxRF2SC4KSjSkMSoY2e9LpleLmUQ116m8DsL1zvf5zlkZG8gELCpNGzYAsAqCM4IXed6zHHdZA2dRTxOOkY4TklJSZxXXxbzp7yTEdfy2qQslOOzuDGjAKQxze/3Iz8/H+Fw2JYYcBoU5WtZGiGREYz3gJ+xUwYDa6PJ2KlMURRlQyBlCJ/x5fpFfSNRRKqMLpJp6JQbUs8AWhwuNHYxrY/nkZ0XaYiiLsFjObabc1+eS8oYpjfK7BvuL+UPX69cuTLOYMbxZddIzsEZNUz5IFM6adgLBAKIRCK2EQ6Nfenp6ejZsydKS0utbgisdb5LOFfuJ+UMnf1Og6asCyYjklmnjQ0CeG3l5eVxXTEV5feKGsIS4PV6EQqFkJGRgZqaGpSVlVlh4SwqyIVQet1laojTw+5Mh5G1WCgUOA4VFQA2dQSA7UwCxIfVOtNCuOg7FRe5iDK6zOltkQJEGslYbyUjIwP5+fl2ruxqxrx/aZiTaSK8B7xnbCHM+VOQ5eTkoKCgALm5ubYjJtN1OB4VNxoKeV4a8ThfpsbIDjPy2mTqzvLly1FWVmZrlKkRTFGUDQFlAVMc6Qhxpuo50w758MxjGMkl95HnAOKLxssCujy37HjI9EU+wEuZRUOUrNvo9iDvfMBnTTCnYYhjSLnEa+DDeyAQQCgUssdUVFRYxYrpmzJ6QNbhklFx7AbGGjl0zmRmZiIrK8s6ZOiMohGQDhIqcTK9SF6zVLikcikVFt6LpqaWYv2U74qiKBsCGmloAKOc4TO6jDiSazINY4y6khHIfJaXKXocg8/qlEscV66JdELQUMQGYXJtpcNDygxZ3gRYWw8MWCvjpCyTuodco6WxScoZNgVrbm5GWVkZampqrPGIckSOzXslS62Ew2GEw+G4zBuWuJFyhvXPODaDKKgHSseTU6bT6CdLE8jsIu6XkZFho9Rqa2tRUVFho99Ut1EUNYQlhQ/XMvUEgKuSQdy8F1wE5UIsveAUSDQMSWMRx+QDOY9jPrpM4+DDt3OBc4bcSuElBYyMIJNhu/yd86MQiMVitu6K3++3bZWpRCQK23W7zzwfr5NKHVsSZ2Zmxil4nDPrifn9/jgFT/5QqLilQkoPUiwWQzgcRmVlpdZrURRlg+M0kLRnzZQyRqasSCXFLXXSaYCSD9cylYKGGymjZBdipjo2NjbaB3ggvpul83epjPB3KYeA+JqNcj78YWo+nR/SG++8nzzWeT+pIDGCgPfAGBNXJ02OwfnJBgCym5nTsSSPc0t74TXLmi+KoigbChnVKpFrrzMt26k3yBTARGu3LJ7P/6WM4/6y1EksFrMpmKwdnJKSYp/nKWeSrZMyEMEpa+R7TU1Nrg4Xll+RkdE0zHG+MiDAeY+c/0snFiPdGA3N2syyUZiUc1JfkeUDnLLRqXs65aCs0UkDIdMhNctFUdaihrAEGGNslJLTkyA7fbl5BrgAyQLtVDCcUWF8TYOWrKNFDzwNYVzMZa2wrKwsO2efz4fa2lqsWbOmVecruY/0zEgvC41GUojJKC5ZaJOLqjEt3SLz8/ORl5dnjXPSwyTHkcJMpmFSaZCplJFIxHpQ8vPz48KMeY/y8vKsosdGAzL8mUYufgYUHoys8/l8NoS5qqoKixcvRnl5eZyioyiKsiFgKqQz8lSuX3x4dxqRpAdYKiKypgvXV1nc3ekAkTKNckqehx5qRtlyPzY5kWsl5Quw1kPtluIi5yaVAIk0GLFbb3Z2tu30JdN7GB3H80qZItd9mQrKtvfGGEQiEduoJTs7u5UH3uPx2LpiAKwRjQ4bp7LnlIHSWEilJBKJqBFMUZSNAtd2p5zh/1yTnQZ8p7PGWdOYSOOSTCmUTUTkuixrCDMCmU4OOT7ljEzNd8oKyjxnajyvSa6zbnLG42lp2kU9IRQKITc3F3l5eVZX4LpNeSwDApxGKim7ZN3JyspKBINBWwMZWGsgIzRcSVktgzHcDHG8v1IPzcrKsve1rKwM1dXVKC0ttbXdFEVpQQ1hCfB5fXGhvjI3nNFDTqOOM0WSMO1OKiRyAZPtehkKDKz1qDN9kqkdTB+UIcVpaWnIzc1FU1MTsrKyUFlZaXPtpYIjO7M4hRz34TxTU1OtsYz7yzBdn8+H8vJyRCIRlJaWorCwEB6PB9nZ2XFpI868eq+3pahkMBi0XngqOs6w45qaGhthRgNjVlYWsrOzkZWVhcLCQqsoydQgeqJkZzKpeLFeG2sJLFy4EBUVFVZQqLdEUZQNDdcgmQIiU1WkMQxAnFEHQFzdF3rWpWxw1hOR670zGokP31ynGdXLNZIRWYz+bWpq6YhcUVFhCx1z/Wb6uXSkAK07TlKOSGVFRjlLIyBT76PRKPLz8+3DPs8l0zsptyhrWLSYCpPTUOX1euNqw0jHELuRZWVl2aLKco6M6KZckRHWzoi0WCyG6upqK9NUziiKsqGRTbHcjPVu0azAWuOKXKcYNeUsdi9JT0+3YzgL8FNGcL2WkVhMUZR1xGKxGPLy8lzljFzznQYeGZXLtZiZI86oNc6zqakJa9asQVVVFUpLS1FQUACPZ209Y0ZCc1/KHephrHHM2l6UNdI4x07I1Fnk+CzhQjknPwunzOFnQkMa5+H3+5Gbm2udQ6tXr0ZpaWmc3FIUZS1qCEsABYN8qJYLCA1hMvKKhhgufhyHi53MbXd6iWXRYy7yssuhVFI4NqOdpMeenn0uluykItP8pGCQ1ytDmaVHhXOUXhrpmeEiTGVDGqSkQOX/DH+m0ibvp9zXqbQxCi49PR3Z2dnIycmxygkAGx0nWz3TiyM/I44lvU3l5eVar0VRlI0K10OZaiI98kB8F0mgtRee6y+NSc71k0jPsjRMyQgup2ddGqsA2Jov9FpTRtXV1dmHezpt5NjynPLanNHWjCKTcsiZThOLxeIan8hIBllSQEZkSyeVTFuRkQ+8jzwPZWp6erptZsO0UTlH+blJB5OMQpP3k/XVVCFRFGVj4Cwr4ux6SLhGOVP9uM2ZBs4IV2fqpXTYcB2W0UpOOcN1lU5sp87ErBm/32/ratEg5TTUOWGKpZR5Us5IJ4yM4KWewB95X6Sc5jUl0uMklFGsf2aMsXLG7/fbJjW8ZhktxnO61XLj/hyLXZmj0SjC4TBqa2u11IuiJEANYYn4nw7BulVS+ZAhvVzMZFqKrLXFxZILmvTec8y6ujrrBQkEAnGeevmwz2gtGaWWnZ2N9PR0ZGRk2AU4KysLmZmZNn2RqZL0mMi6MRIpAJyGK85fer2l8tXc3IzVq1fD7/cjIyOjlSInjX5UpNw6mjkNhrJ7GBf5nJwc5ObmIicnx0bnsXEABX4kEkFdXR1qa2vjvEIUNF6vFxUVFaisrMSKFStQU1OjaSqKomxU+OBMmcA1Wj78Ss+300EhFQcgviuhsy4iABvRTOeJNNJI4w0f1uWamJGRYT3fsoNwdnY26uvrEQ6HUVpaimg0apuRUOFwM7bJ94hM8aSMkbKG821ubraRXlKuyrppvAdc8ynL2cxFRtMlQsodKl9Ow5aMSJNpQLw2Rjxod0hFUTYFcm1kzS1nyjrXWeo0zvRw6azgesz/3dZQKSfkMzizTWjcopyRTcFk+iT1he7du6OhoQGRSATl5eXWIOa8RilPnEYy6aSQBjkZIcbXTGuUZQGkPJaGLkZOSzkrI+Gc0dkciz+UyR6Pxxbnd5ZncUbxyc+FelNubq79XIqLi1FdXW1LxiiK4o4awhJA77HsPsJF3C1tQxp7AMR5NGjwYdFEAK3y5uWCLx/+5QM+95deAbaaT0tLs+2I+fBPw09OTo79nQ/sbsUS3YxXciGnEYtRVRSq0qve1NSEuro6e5/kYg8gLnKN18a6ZBxb7i9bCHN/1kFjJ08JhRTru/l8PmRnZ1sDXSQSQTgcxurVq1FSUoLa2lo1gimKskmQCorTG++2L7DWcEQZRSMaaW5uRm1tbSuDGeUX5VZaWlqc84M4z8+1saKiApFIBH6/H9FoNM6T7fF4EAwGYYyxKSQ0iMkUDxlBRfhaeriB+FR2ZwoL5+VM65HykvLE6/VaOcFjaYB0RoQBLV2UOQblA9P0eR3SeUOFhefktdALX19fr23qFUXZZPD5PZGckQ4BOg3kczjfd44jDVFy/ZYp787zchwZEMA1mE4KZrtkZ2dbGZOenm51qszMTKtXMQpZruFSRkq9xmlA4jxofJNRvfK1lDPO+yejxpxj8DzOKG86mmQkXWVlpXXW8H7K9E0ZNSfvL6OVWWKhrq4OFRUVqKqq0gwXRWkHaghLgAfxD9NsZSsVBiDe80sSebvldioF3M5xpZeGi5gzrJljyzoojFqTaSv0+rPYI4v106vtvBa3EGPnddBrwQd+buP18HepePE1ALtoy+4yTiHhds+am5ttrRpjjPXo19TU2M9JGi9ramqQkpJi8+5ZHyYSidhUyKqqqjhDp6IoysZERoTJFEGnZ5vI9+XDvTQwSbkiPfuy3ousf+l8cOc66nSMOFPzU1NTbZq6s9Ax0zCYUiJrd8lUFydyDs4UQ5layf9ZaJn3kjJHpkNKZwwNUrIOpdP5Iw2TrAPj7MYsr0dGUMvPhKUJ6HzSVEhFUTYFMgWfr91qewGJaxtym4yklWmRTqOZNHJJAxHHoU7lNGAxipi1F5meTv1Gdnn3+/1xOpRTpki9hMg1mueSUWLOObll50gYzcU5yAhuWR/MeX84NgMU5I8zc0gaEXnv6Iii/KM+FI1GUVVVFVevUlGUxKghLAFerxeBQMAak1JSUmzIqnyQ5mIujSnOtAnZxpYLo3PBlXXAOIYsMs9F2NkBhdCbwoWRnUkYCUWvPR/s6bGXgon/c15S2Mn9ZEFmKcykYsX9ZIdLptUAsAs+I8icocROYSwFIPPf6T2Shj7eN3qNgsEgunXrhvr6epSVldmukFVVVSokFEXZpKSnp9v0O+ng4Horm4zINdFpFJLpKrKml1sqBl/LtV4WfCfOui88P9deGsIaGxsRCAQQCoXianelpaWhvr4eXq/XRofJ6ACZ5i8VFinfKDucqfwySswYY2WNNEhREaF8kWUOnNdKaDCUxaWZgsN0T6/Xa5UMKa9kJAXTj2TNMUVRlE0Bn9VpNAHWrqFc+7nWS9khDUIyMorruKxhJZ00zsgrHivXTWe9MQkzTejQ9vv9qKurQ0ZGBoLBYJzjm7oGgFa1sNwcLrwmKW/pPJH1OuV+rCUm9R5ZyysWi9loLClznAZCoLVc5RzoOJFRczJQQBoxs7KykJWVhVAohJqaGlRXV6OkpMR2vNdIMEVpP2oIS4KMwuLCJj0pUjmREVJyAaN1XwogpwCgEiBDk6ViJM/lNDpRKMmaKgBs4XemrKSmpiIUCtmOWM5QWgoneR0Sp8AD4otQOvPueQ0sas/zUUGorq62LZFra2vjPPkSWfCY3SKZSknDH+fDOmsU5BRsixYtQkVFBYqLi206pRrBFEXZ1PCBWnb0YnMTN086EF8EX0YvMXXCzZngbHZCGSVljpuBSCpBMt1f1sqS6RxZWVnw+XzIyMiw+1IW1NfXo6amJs7pIaMJpANGyj4qVU5ZI41WdPgEg0GrIFVXV9taOHSaUEFwKmBS2eB10rkk6+lQ7vK8jMaWNdyo1CRLc1UURdnYyOwMOqKB+EwTYG3ElpQRXJ9lsy7uK9dl6dCXEbc0IvH5W5Y7kfvKsWSZGKb8NzQ0IBQK2bRA51y43svoMmmQckZc89p5Diln5LisbZaRkWHlnMfjsY4Szo0/8jinUVHeY8pTp0NIylzC7sU5OTlobm5GWVkZ1qxZg0gkYjNcVLdRlI6hhrAEeLweG44rOxBKxcGpkMjXcuFj6oRMcQTiFRq39AxZpJ6CxW2Rcz7Uy8gqhhVz0WVtLgoCmfLpFF7OUF6ngsJ9pCeFRjmmJdJz4ff74fP5rMLEuis8B5UKeX9kKHRmZqYdix4TbuM5s7Ky7O9UeiKRCFatWoXKykqUlpZqy3pFUboMXCtlB12u37JOi1tahZshR6bgyZQPeRz35xjOVA9nWqXcV3ZndBp6eA1Mf2c6OsfisTJFH4iPHpA4UzWdaZLSecKIMKZmMvqAxkF5L+X1SrkrDWy8l84IcLdoaWkQ5I9GgSmK0lVw1vclzihhN7jOuhXWd6YVSrjWOvdjnUq5FjsNVXI+PB+NW3SsODvP+/1+qxtIGcq121lugHJBzhVAXEQWj2M2i6xXRoc7a0pKWU1nSbJMG86dGS7cz5kJI4MBeG6mQVZUVKCiogK1tbVx9doURWk/aghLQEpKKgoKChAOh9Hc3Iy0tLRWrdFZi0sWMnR2RGGrdKdBjJZ+pity0ZQeCWcBxkQRaADi3qNRSxrQMjMzkZeXZxdWKg/sIkYvfUNDg1UgnPNyU6icaS4t966lewk9J1SMOEfZep7ChXN3Kn7siNmvXz+EQiGkpaWhqKjIeoMCgYAtvl9QUIDGxkZbTL+oqAi//fabLUKpBjBFUboSdBJw/Y1EIgDiO0TJh3em/MlaIdxf1hHhPsDah2ln1K50XvBBXnr83dI3+DAvZQDT0TlPpmxwXeYa39DQYLsvypRDHi+jnYl0PEkZy/l5PB5kZ2fbWpDSoSILNRMZGSfTTrhNpt5zjjJSTMphykp+Tmr8UhSlK5KZmWmjp/iszrXSaYSSNbSIs+A9o7n47C/XXOo0HI+/83zUP5xrvRsyUpkRbIwoCwQCyMnJsXoEx2Y5GlmjkRG6iZrCyEhqnlfKT1lvmM1gpIOF//NY6QSSehhlZ2pqqo0qkw4sXgNlDM/p9/uRm5uLxsZGRKNRLF26FOFwGJWVlR3/MiiKEocawhLg/d8DNhWPysrKVnnXUlGR3bucOegynQKINx5xseQ4shaYWx0TmQ7pjNDi+NLQBMB2u5I57bKlMQ1RUjjKVsAcE4j3GsnIAYYgc99EyhUFEuvLULnguWThYb/fj4KCAuTk5KCwsNBGEzQ3N9saaL1797YCbvny5VizZg2Ki4tRXFyMaDRqO0KqEUxRlK4GjUTp6em23iEf/mlckYYmKTtkLTBgbeFdmd4nZYIzokp6m2XtSbfC7jKyi3ICaN3FuKmpCdXV1aiuro4bX6apMDpYRnRRWZLX6aYoUYbx+NTUVBv9RccTz8eank6ZJSPdpHeecrC2ttY6g4C1hkQZJcboBGdTAUVRlK4GjTmMmmKdYKdOIg1Nsi6wjGiSzgAgvjkWo7+AtYY0GWVLvYNwrXaLcubYfF9Gb0UiEWsYk/WHZdRvWlqanYuUfdxHXlMig5wss8L1n6nyQIusjEajcR0dGfHm1P8A2IYy6enpSE9Pt0Y6zpkGMhl9RjmzatUqRCIRVFdX29I3iqKsP2oISwINOvRqS886cQu/JW5phMRpZHJ6/ZMVWZQRY06vhnN/AHEP9DyO7YJ5fi7gToOUM9xX1idzKmQ0bjFk2ekdohLBBZzGNikI5XiBQAB5eXnIy8tDZmamLYTJWjDBYBCZmZmIRqOIRCIoKirC6tWrUVRUhMrKylbRFIqiKF2JcDhsa2fRAMM1srGx0f4wylemV0hDmHSKyAheWb/FzRAmjVWJars467jwXE55QyWBxiTKAFkfk0jZw4d+53Y3RxDnI+UVowUA2LqYNI7xPvL+SaXE6YyiLKei42wkw8hvdpBUFEXZHJApetJZIuthAWsjkd0MYcSZwkjZIVMoiVtdLClXJM4Ufbf58/w0gsnSLJQhUsZRvvB36jEyVd6JlG0yXV6eG1grD+iEkY4op7yU86ERTAY7UCfz+/0IBoNxtY9Zf6ysrMzqOvX19ep8UZROQg1hCYgZg+rqamt8Yb0wWUtLtsqVxeu5yMpFVIbe0vLPcTweT9zC51Z/zO/3x0VeybxxO2fHwi7TNhldIOfEbmWZmZn2fCkpKbbQsayzIr0xrJtijImrzZKRkWE9/gwf9nq9qKqqsgXypfdDKkHS00/DY2ZmJvr27YtgMIhwOAygJUps4MCBCAQC8Hq9+Pbbb7F48WIsWbIEv/32W1wBUEVRlK7Mu+++a9PumWoXjUZbFd+tr69POo5Mx5DphNL4Bax1elARkvLJ6biRdU5kFBYQ7+2XtVykTJPH0ujGqCv54/V6kZGRYRvEyML0dXV1cXNhV+TMzEx7XVREZKFiWZJAOm94bZy7lJGUj9FoNO7eci5tfQaKoihdEbm28flddrJnBBOfn2XnYiB+nZfZHjTiyJQ+mf0iI5ZlZggQ34DLKS/kMfxflgGQGSbSySPrVEo5RyNZZmZmXDo7ZRaLzMs0eFnvklHMzEqJRqNx3SF5j3gtMkiBhjigpWYzy8VEIhE7h9zcXOTm5loHPw1ey5YtQ2VlJcLhMCKRiBq/FGUDoIawBBjTEn4bjUZRW1trI6SYk15bW2uNQrI+Fh/knQoIFQkZgsxFm4u8VDb40M8xpWdFpqVIL7ezbpjMPSfOsGCpvFCYsfsiz89jpFedRriCggJbxJ6CrampyUY4hMNhKyxkMWOZPilTZDhWeno6QqGQDRNmZ5WGhgYUFRVhzZo1KC0txc8//2wFhTMNRlEUpSuzePFipKamWgeBrGPi8Xis0tIW9FRLJUJ6omV9Sa690ijGtBIZFeY0fsmoYHkOmWIif3gdjAyTjhvnPOS8nXKM9SxzcnKsw6WpqQm1tbWoqqpCVVVVnAHMLWVRppU6z0M5zmtxOlI09VFRlM0ZGm5oCOMzucfjQWZmpjWM0fkgnRuUCVwfZWq81GmkUYwOe6dD39msyy0tUZ7bGZnljCaT8obHSfkFrE0LZdQYs2Gc0W88R2ZmJjIyMqwzn4aycDhsaxDTQcOAAnlNTuj88Xq9NmPG6/Xa7o8pKSm2DE9TU1Oc8aukpMRGNasMUpQNgxrCEhCLxeyCR6HBaCWmJzLVD0CcQUqmj8gfZygwF2VZSFL+cIEF4kOKZb0u6dWQbd/pvaBy5OYVlyG/3C4jsxi+S++PTAGlt6Rfv37Wi+HxeKygKCoqittXdpOU4cq8DhresrOzkZOTY9MfpZBl8eIVK1Zg+fLl+O2331BUVBQXsaYoirK5UFZWhtTU1FbRRlwr3ep1JaK9TgBpBJPRym0ZwihrZG0tjges7bbFubBDL7tEylpkUv44f9wihGVNMa93bSOauro6q9zR05/IcCWNc1KRkukuiqIoWxqsE1xXVxe3VtI4lZ2dbQvN08lP54wzOpi6hTNzBYB1dsjoMSDeKUM9Rdb0krXHAMSdz3kOuXYn6nTPcjBOPYzOfVmbmPoHZW5eXp51yHs8HpvNwsZpUoZIuSbPJbN/WAOUpWO4L5vJMGItGo2iuroaq1evRjgcRlVVlUaBKcpGQA1hCWhubkYkEkFtba0tuJ6RkYH09HR0794dtbW1KCkpQVpaGqqqqlBeXh63+MtCifSOyALxqampCAaDNuVSGo2oELCDpM/ni0tfpNeb4wLxOfT0anBfWffLGQrMczLqjd2y0tLSbPcV2QmTi3ZWVhaCwaA1hGVlZdlw47q6OlRUVCA9PR3Z2dkoLCyM6+DljJaj4S41NRUZGRm241hTUxMqKytRUVGBhQsX4pdffrF1wGQNF0VRlM0RRiM5kU6Hzqazx2bafkNDg01ZB2AVnYaGBqtoAGtTGd2gguCsq+Lz+VBcXGzfr6urs9tYC6y+vh6BQADGmFY1vKgASYOXpjoqivJ7oKSkxNbZZfQs0NKVPTMzE7m5uairq7MZG1VVVbYsioyqpbFH1vKVnejp3Of+MoJLRoFxnSd1dXXWwSHrF0s9gfszegtYK8ukgYqGKKeDXOoxNMTxHPJaMjMzEQwGEQqF4mpMMiDC6/UiFArFRVTzep3BEB6PB+np6TbLJRAI2ACHpqYm2/lxxYoVqKystI1m1PilKBsPNYQloKmp2XYmkW3bMzMzUVBQAADo3r07evTogeLiYvzwww/WGOaMBJN58lyAuTDKtr8yCkAWkKfQoAGNRixnCDDrgFHQ8TwUCDw3f+g9p0FNemPY/YtCgmHCPp8vTpgGAgGEw2FkZ2fbVJ5oNIrS0lIbPiyFJcehkgTE17dpaGjAqlWrUFVVZVMgKysrsXr1aluzjZ4qRVEUZdNC7zuAuAhkAK0cQrLGphuMICOy+LA0XNFJlJqairq6OjtmosgudZooivJ7hfWoWAOMUbqsE5yTk4NYLIbs7Gykp6ejpKTERtpKwxPXc6ZGypRJ6grUJxLVL5YdhqkXsDuijDYD1nYwlgEFTJGUtcIAxBXql0Yp4pQ9slmAMcY2eDHGoLKyEoFAwJZ5oYFKpoDymvma94d6VkZGRly9Ms63qqoKNTU1KC8vR3V1NaLRqC3toimQirLxUUNYAujJphFJFl6UXT2ys7ORmpqKlStX2oVSpmY4/yeybgq9KAyVZVQWDWhcbP1+v+3I6Kz1ZYyxkWtSyMjaLzS2AWs97YwOkx3IKIRoAHTWN5O5++Xl5bawM0Ora2pq7JgZGRnIzMy0Bj/WEvP5fK1CrxkBtmLFCqxZswbLli1DSUmJDRGWHiZFURRl0yOdEomMXB1xXCTaVxrIuJ+zDmZnnF9RFGVLQnbVZQQVjUUejwcZGRn2+RxoWS+LiopQVVVlf5e6jHS+y9pdblFjLJkij6NRSKYV8n/ZlR5AXLQXABs55qz5SDiGxJl6yfc4B5aWoQ4SjUat7sTOkDwXUx1Ze4w1v+T80tLSkJGRYYMO2Im4qqoKZWVlqK6uRnFxMWpqamyqqqIomwY1hCXAA9g6YABsrbD6+npkZ2dbz0mvXr2Qk5NjQ4nLy8tRVVXVKmQWaFnQKZCi0ag1cMmWutnZ2dbwA8B2ZZThx83NzXb/jIwMNDY22mgpRo9xcWdqpN/vj0vDZLF+GWlG4SLDmKUBkIa0jIwMa5SjR6O8vNwKhaysLGy33XbIzMxEKBSK6/DFGgSlpaWIRqOoqqrCypUrsXLlSpSXl2PVqlUIh8M28ksLFSuKoihONmT6qKIoypaCTNmjHsK6x5FIBH6/3xpuAoEA0tLSbKpeLBZDNBptVaBeGtMYNMAsF9kNng5yzoEBAAw2kO8zOqyxsdGmIjJDhimKbt0sGUns7FYpHffOYvaynAxrdaWkpFhdjzDlMxQKISMjA1lZWbZ8CwMapFHOGIP6+npUV1ejsrISxcXFKCkpQSQSQWVlpQ0UUL1GUboGaghLhAc2V10u+AwvBmC9KPn5+dhqq61QWloKAAiHw3aRo7eEgoOhv7JIJD0Y9HgHAgErPChIZG67XOTZ9h1AXItf6b2ht8FZqFKmKzI6S26j14MFNbnw0wgXCATiUi0pMJh7T6/PihUrEI1GUVlZab0ha9asQUVFBWpqahAOh1FdXY26ujrrIeE9VxRFURRFURSl40hdA1hbaJ7ZHHV1dfa5PhaLIScnB7169UJRURHq6+tRVVUVl6Yux5MRYDI1nRFXfr8fwNrAAvlsTwMSdSNGZTF9061LpPN9t4L9cp4ydZP6D/UoGr+k7sLuktR1aCRMS0uzRjyWp2loaEA0GkVdXR0ikYgtp1NdXY1IJIKamhpUVVWhtrbWlq3pSAMcRVE2PGoIS4RZm84oPQ4szGuMsQarWCyGAQMG4Ndff0VNTQ2WL19uh6GQkDnyclFmNBb3Y3FFv99va2wZY+w+hGHHMmc/IyMjznAnz0uPC700PIaGMAoX7uP3+xEKhVq1HWZYMCPMpCeFnhFjjI3qKi8vx9KlS1FeXo7i4mLbEYUeEtYa07RHRVEURVEURek8pC4gnfosZVJbW4vs7GykpKQgEAggGAyie/fuyMnJsVFhzgZXstuwfC3TDJubm61jXHYMdnYols/+ssYknffObow8jlFk1I2oF8mSMLIQPut1cR/p9Kd+w7ppNIBR1wFgAyHoxGc2TDQaRVlZmY34klktzsYtiqJ0LdQQloDGxkasWLEizjPBfPrKykrk5+fbFMlu3bqhe/fuMMYgGAxi0aJFrepf0fiVmZmJzMxM5OTkoHv37giFQigoKLALe3Z2tvVoMDKKQosGJ9lBkkKCqY4A4rwtsmB/RkaGLeDI9sE+nw+hUCjO25OZmYmMjAwEg0E7F6c3id6N8vJy2+p39erVKC0txapVq/Dzzz+joqICZWVlqKqqiqu3JuelKIqiKIqiKErnE41GbUoef6hXNDc3o6yszDbwCoVCCAaDyMjIQGlpKZqbm7F06VIA8TqFjLiiQYoGpEAgYM8ti+hLoxaL8DMaC0Bckf1YLGZ1GgCtIr+kg56ZK5wHaxGzLExmZibS09ORk5MT15hMRoNxnjIijZFdRUVFtrNjSUkJSktLbRF9ZrHU1NQkrAmtKErXRQ1hCYj9z9jDvHQukHV1dSgvL0dBQQHq6+uRk5ODQCCA9PR0bLXVVqirq8OAAQOwbNky1NTU2AU3NTU1zstC41koFEJeXp41OLEVPQ1Gzm4k7FwpW9QTaRSTXVyAtZ4VWaRfvu/0uNTW1iISidiw6crKSlsjjSG/NTU1cZ4RFplkbjxz7WkU1KgvRVEURVEURdk40InP1DzW3WKEU2VlJXJzc1FXV4fs7GxrXBowYABqamqQnZ2NaDRqUxhlVBUjqNLT05GVlYVAIIDs7GxrcJId4mWXSZlayewS7s/3ZedJnlcavWQNZUZ4seYy58h5UOdh1BqNV9TrGL1VVVVly7SwwyMjv2pqaqxeJLtwaikXRdl8UUNYEpydVeglYAQUOyWyNlffvn0RjUYxcOBArFy5EpFIJK6zSCgUQn5+PvLz89GjRw/k5+cjGAwiJyfHphayyD0jxBi6C6z1MmRmZsZ1WqERTbbo5e/SUObMt+d7XMhZ9JIGrIqKCoTDYYTDYRQVFdkWwhUVFTYfnk0C+MP7pSiKoiiKoijKpkM6umWZFtYm5rO91GkyMjLQp08fhMNhhEIh25WeugeNUjSCsZA8s0lYZ4uO9ubm5jjjlExnlJkqMjqL9ZABxBnKZFSXsz4xt0lo/KupqbH6DY1cNTU1qKysRFVVFaqrq1FWVoZoNGp1HKnfUAdUFGXLQQ1hABrDS1u91ydYg9vH/YZYczOampsBEZGV5v8Zfu/byPzvY6hbkoXGFB+8Xh8Ag8ENjbhoj2qc2L8S9XUN8HhaCt57fVGkpVUjJeUX+HxepPhS4GnwwFPmAUrFiWmjMoAB4PH8ryDk/zaYlndbfvMAxgBN+F+aofnf9v/VNzMwqDUGxgAQIc0GBiZmEDOOOmL/ey8Wi8ETM8iJxRD63zHDUg1MHoA8A/RbO13j8gqIF0KKorSfIYWeVu+5rVGKoiiKoijJYOMrv9+P2tpaRKNRW7Q9FoshEomgvLwcq1evRt++fREMBpGVlYXhw4cjPT0dS5cuxeuvv45IJGINVaytxZIrwWDQ1tqisai5uRl+vz8ufVLW55Jd6Wlco3NelpYB3Eu+sGEYAwBkWiPrOdPwxcYAtbW1cdFgzPyRkWLO8i2ayaIoWy5qCANgmmpbvZee0oxBOeHkBzYCqACa0fJDggCCBW4HbICiia115g1MohNu9Ikoyu8GtzVKURRFURQlGayZ1djYGNelngYtGoCqqqoQjUaRmZmJ7OxsBINB9OzZEyNGjMAPP/wQV4+YmSosfdLQ0BAXLeZMb5TlWmTZFgBxmS2ywZizZIvzfZm1w/9Z+4y/19XV2awXlrqR6aGybIss4K8oyu8DNYQpiqIoykZEPcyKonQldE3a8pBd5WmQohFLdmxsbGxENBpFRUUFSktLbZ0t1v/q06cPCgoKbLkUGq1isRhqa1ucdHI8Zz1gGV0ljV18TxrFnGMk+5FGLHlO+b+mMipK16Eryhk1hCmKoijKRqS6unpTT0FRFMVSXV2NUCi0qaehdCKUM88999wmnomiKErXlDNqCFMURVGUjUivXr2wYsUKZGdnt2oLryiKsrEwxqC6uhq9evXa1FNROhmVM4qidAW6spxRQxgAX1YvNEdWxb3nSQkgNTRoE81IUZTfK43hpa1qgvmyup7wUNYdr9eLPn36bOppKIqidDkPvdI5qJxRFKWr0FXljMd0xYRNRVEURVEURVEURVEURelkvG3voiiKoiiKoiiKoiiKoiibP2oIUxRFURRFURRFURRFUX4XqCFMURRFURRFURRFURRF+V2ghjBFURRFURRFURRFURTld4EawhRFURRFWWeuvfZaeDyedv0Eg0HssMMOuOSSS/Dbb78lHPPcc89t95huP/vss0+75//999/b42655ZZ2HfPee+8lPf/EiRPbff72kOxcAwYMaHNeAwcORFNTU4fPe/fdd7uON3369HYdf/HFF8Pj8SAlJQWrV6/u8PlJLBbDiy++iLPOOgvbb789evTogdTUVASDQQwaNAgHH3wwLr/8crz22muora11HWNjfqcURVEURenaaNdIRVEURVHWmW+//RbffvstAOD8889HaWkpCgoKcNddd8XtV1VVhU8//RSzZs1CQ0MDgsEgnn32WRx44IGtxvz888/x008/AQBOOukkAMDQoUNxxRVXtDmf888/H8OGDcN7773XrvlfcskluO222wAAw4YNw3fffdfmMcXFxXjzzTcBAJMnT8YHH3wAALjrrrtQUFCAwYMHY+TIke06f3t4/PHHAQAffPABJk+eDAA444wzsPfeeyMrKwuHH354q3m98MILmD17th1jxowZ9l62h8bGRgwePBgrVqwAAOy9994444wzAACjRo3CoEGDkh7f3NyMvn37WgPYrbfeiosvvrjd5ydvvPEGLrjgAnz//ffo06cPDj30UAwZMgS5ubmoqqrCd999h7lz52LNmjUAgMzMTIwZMwaPP/44UlNT7Tgb8zulKIqiKEoXxyiKoiiKonQC/fv3NwBM//79E+4zf/584/f7DQCTlZVlfvvtt6RjAjAAzOjRo9s9h/bu29zcbHr16mXPAcB88cUX7TqWTJgwwR67bNmyDh3bUaZNm2bPNW3atKT7XnPNNXHXtd1225lYLNbuc02fPj3u+AkTJnRorq+++mrc8SNGjOjQ8cYYc8cddxiv12tSUlLMbbfdZhobG133q6+vN5dddlnc+aqrqxOOuyG/U4qiKIqidH00NVJRFEVRlI3GH/7wB5s6GIlEcP/992+yubz11ltYtWoV8vPz7XszZszYZPPZEGy33XYAgB9++AFz585t1zHGGNx666322HVhxowZ8Hg8yM3NBQAsWLAAX3/9dbuPf+yxx3DhhRciFovh0UcfxUUXXYSUlBTXfdPS0nDTTTfh/PPPX+f5KoqiKIry+0ENYYqiKIqibFRkvaX333+/U8c+66yzcPzxx7drXxprpkyZYt976qmn1qmeVlflkksusa9vuummdh3z4osv4ocffsBFF120Tuesrq7GnDlzMHr0aJx88sn2/fYaGZcuXYqzzjoLAHDooYe2O6XzuuuuQygU6viE26Aj3ylFURRFUbo+aghTFEVRFGWjUlBQYF+ztlNncemll9paVsmIRCKYPXs2Ro0ahfHjx9vop5KSErz66qudOqdNyejRo/GHP/wBAPDZZ5/h7bffbvOYW265Bbvuuiv23XffdTrns88+i9raWpxwwgk44YQT7PvtNTLedNNNtuh9R6K8srKyMHbs2I5PuA3a+51SFEVRFGXzQA1hiqIoiqJsVKLRqH2dlZW13uNNnDgRHo+nQ8c899xzqKmpsYYaabDZ0tIjL7/8cvv6xhtvTLrv+++/j/nz58dFknWUGTNmwO/346ijjsJuu+2GrbfeGkBLMf/XX3896bE1NTWYOXMmACA3NxejR4/u0LnvueceLF68GJmZmes2+f+xLt8pRVEURVE2D9QQpiiKoijKRkXWimK00sZmxowZSElJwV/+8hcAwHHHHWe3zZs3D5WVlZtkXhuCsWPHYtiwYQCAd955B5999lnCfW+55RYMHjwYRx555Dqd65dffsH777+PP//5z8jJyQGAuLTCtoyMH330Eerr6wEA22+/PXw+X4fOn5ubi6222kqNWIqiKIqiJEQNYYqiKIqibDQqKysxdepUAEB6ejomTZrUruMaGxtRWlrq+kPDSXtZsWIF3nvvPRx00EE2TXPgwIEYNWoUAKC+vh5PP/10h8bsyng8nrgIr0RRYQsWLMArr7yCCy+8EF7vuj0izpw5E8aYuAg7+frFF19EOBxOePyXX35pXw8ZMmSd5tBeOvM7pSiKoijK5oMawhRFURRF6VRisVgrw8Ly5cvx9NNPY88998TKlSvRvXt3zJkzB9tss027xvz444/RrVs3159Zs2Z1aH5uxhpgy06PPP7449GvXz8Aa4vhO7n55pvRrVs3nHLKKet8npkzZyIYDOLQQw+172299dbYbbfdAAB1dXV45plnEh5fUlJiXweDwXWeR3vozO+UoiiKoiibD+59qBVFURRFUdaRFStWoFu3bq7bdtxxR8yYMQPjx4/vUH2w7bffHnfccYfrtttuuw1vvPFGu8eaOXMmsrKyMG7cuLj3jz76aEyaNAlNTU34+OOPsWTJEgwePLjd43ZlUlJScOGFF2LSpEkwxuCmm26ytbgAYPny5XjmmWdw9dVXIz09fZ3O8cknn2DRokU45ZRTWo1xwgkn4PPPPwfQYmQ8/fTTXceoqqqyrwOBQJvnDIfDaGxsbPV+ampqmx0kO/M7pSiKoijK5oNGhCmKoiiK0qn06NEDb775pv158sknceKJJwIAvvnmG7z44ovw+/0dGjM3Nxf777+/60/Pnj3bPc5nn32GH3/8EYcffjgyMjLithUUFOCggw6yv29pUWGnnXaaTQWdNWsWli9fbrfdfvvt8Pv9OOecc9Z5fN4vZ6QdABx77LG23tdHH32EpUuXuo4ho8DYOTIZBx10kGtEl9PI6UZnfacURVEURdm8UEOYoiiKoiidSnp6epxR4bjjjsPMmTNx/fXXA2jp2HjxxRdvkrk99thjANyNNc73mUK5pZCRkYHzzjsPANDU1IRbb70VQEs64qOPPorTTjsNeXl56zR2Q0MDZs2ahV69emHfffdttb1Hjx7Yb7/9AADGmIRGRhlJ2J6GBffee2+c0VVRFEVRFKUt1BCmKIqiKMpG4dJLL8W2224LALj//vuxePHiThl3+vTp7TJYNTQ04Omnn0Zubi523HFH1yLpe+65p03rW7ZsGT744INOmWNX4dxzz7UpqdOmTUNxcTHuueceNDY24oILLljncefNm4eKigqMGTMG5eXlrvd2zJgxdn+ZlinZZZdd7Osff/yxzfPutttucUbXzqK93ylFURRFUTY/1BCmKIqiKMpGISUlBVdddRWA+IikjcXLL7+MsrIyVFRUoGfPnq4pdf3790ddXZ09ZktLj8zNzcUZZ5wBoKVw/XXXXYf7778fxxxzjC2mvy7wPk2ZMiVhAXrZIXTp0qX48MMPW42z55572rTZb7/91rX+l6IoiqIoyvqgxfIVRVEURdloHH300bjyyiuxdOlSzJw5E9ddd91Gq8c0Y8YMeDwePPvss0kLqS9fvtwWc3/uuedw3333rXMBeSc//vgjioqKsM8++3TKeOvCBRdcgPvuuw8NDQ144IEHAACXXHLJOo9XWlqKV199FX/4wx/wr3/9K+m+kydPxrPPPgug5fPYa6+94rZnZGTg5JNPxpQpU1BdXY3XXnsNY8eOXee5KYqiKIqiOFFDmKIoiqIoGw2fz4eLLroIZ599Nurr63HnnXfitttu67TxL7/8cqxZswaPPPJI3PtlZWV45ZVXsN9+++HII49sc5w777wTCxcuRDgcxpw5c3Dsscd2yvxuvvlmPPbYY5s07a5379446aST7D066KCDsP3226/zeE899RQaGxtx7rnntpmeGAwGrSHs2WefxT333NPKyHjZZZfh8ccfR21tLW699dZNbghL9J1SFEVRFGXzRFMjFUVRFEXZqJxyyino0aMHAODhhx9uV1H09jJ//ny8/fbbrd6fNWsWGhoacNppp7VrnFNPPdW+3tLSI4GWCDCv12tfrw8zZsxAbm5uuwyMu+++O4YPHw6gpRj+iy++2GqfQYMG2Ui1Dz/8EHfcccd6zW99SfSdUhRFURRl80QNYYqiKIqibFTS09Ntvajq6mrcf//9G/ycM2bMQEFBAcaPH9+u/U866SSkpqYCAN544w0UFxdvyOltdIYMGYKamhrU1tbiT3/60zqPs3DhQnzxxRc48cQT250++n//93/2dSIj48SJE3HbbbfB6/XioosuwhVXXBFXu83JZ599hgMOOMD+TiOfoiiKoiiKE02NVBRFURRlnfn222/x7bffAgCi0aj9//HHHwcADB48GCNHjmx13Nlnn42bb74ZVVVVuOeee9C/f38AwI477oji4mJ8/fXXcfuvWLECt99+e5vzWbFiRdzvjz/+OKqqqvDZZ59h7733xjPPPIMePXrEGU2czJkzB5FIBIMHD8aPP/6I5uZmXHXVVfjjH/+I7bffHrm5uXj66acBAN9//709bsqUKcjNzU06P7l/e+G9nD9/vn1v/vz5SElJQVZWFg4//HAALfd99uzZAGA/kzlz5qCgoMD1mlmU3sn8+fOxZMkSlJaW2veWLl1q53HAAQcgGo3i448/xssvvwwAyM7OxuOPP45Ro0Zh0KBBruMWFxfjzTffhMfjse+9/vrrmDZtGlJTUzF+/HhkZmbabRdddBGGDx+O888/HzfeeCOmTp2KsWPHYtiwYcjNzUVVVRUWLVqE9957z97XUCiE008/HRdddFHcud9+++1O+04piqIoirJ54zHaG1pRFEVRlHXk2muvxT//+c+E2ydMmIDp06e7brvssstwyy23xL33r3/9C0VFResVJda/f38sX74cAOKMLmT06NF47733Eh4/YMAA/PLLL67brrnmGuyzzz7Yd99913l+ADpUI8ztGoi81uXLl2PgwIGu+7V1zZKJEyfiscceS7j93XffxfLly3HKKae02jZt2jRMnDjR9bj33nsv6X1btmwZBgwY0Or95uZmzJ07F6+88go+/vhjFBcXo6qqChkZGcjJycHWW2+NHXbYAfvvvz/2228/pKWltRrj3HPP7bTvlKIoiqIomzdqCFMURVEURVEURVEURVF+F2gBBUVRFEVRFEVRFEVRFOV3gRrCFEVRFEVRFEVRFEVRlN8FaghTFEVRFEVRFEVRFEVRfheoIUxRFEVRFEVRFEVRFEX5XaCGMEVRFEVRFEVRFEVRFOV3gRrCFEVRFEVRFEVRFEVRlN8FaghTFEVRFEVRFEVRFEVRfheoIUxRFEVRFEVRFEVRFEX5XbDFGcKi0SjKy8s39TQURVF+9zQ2NqKoqGhTT0NRFEVRlHaiupSiKF2ZFStWdMo4nWoImzVrFjweT9zPtdde25mnSMrzzz+PIUOGYMGCBQn3+eabb3Deeedh5513Rm5uLlJSUpCdnY2tttoKBx98MC677DLMnj1bBQCA5uZmzJo1C0ceeSQGDhyIzMxMpKamIj8/HzvttBOOO+443H777Zg/fz6ampo6/fzO79KAAQM6/RydzbXXXovs7GycccYZm2wOO+64Y6t7J3/S0tJQWFiIESNGYOLEiXjkkUcQDofbNfayZcuw7bbbol+/fvjyyy838JVs+UydOhWhUAhjx45FY2Pjpp5Op1NTU4Ott94at956K4wxm3o6nc7LL7+ME044AUOGDEF2djZSUlKQk5ODESNG4Mgjj8QNN9yAd999F/X19Zt6qpuciooK3HXXXTjggAPQs2dPpKenIz09HYWFhRg1ahROP/10PPzww/jxxx839VSVDczUqVM3+rNiY2MjXn75ZZx++ukYPnw4gsEg/H4/CgsLceCBB+KBBx5ANBpt93glJSW48sorMXz4cGRlZSE/Px+jRo3CAw880KG1fMGCBTjttNMwaNAgpKeno1evXhg7dixeeumlDl3fyy+/jLFjx6JXr15IT0/HwIEDcdppp+Hbb79NeMw333yT9FnB4/EgOzsb/fv3x1577YVLL70Ub7755ha5lnclVJfaMmlqasIzzzyDCRMmYNttt0VeXh7S0tJQUFCAXXfdFaeccgoeeeQR/PLLL62Ofe+991p9JyZOnLjxL6IL8/LLL6OgoAAjR45st06zJVBeXo4HHngAY8eOxaBBg5CVlYX09HT07NkTo0ePxnnnnYcXXngBFRUVbY5VW1uLKVOm4NBDD0Xfvn0RCASQlpaGbt26YbfddsOECRNwzz334Ouvv97kcmCXXXbBxRdfvN66k8d04pX88ssv+OCDDwAAJ510EgDgmmuu2SgL+LXXXot//vOfOPXUU/Hggw8iNTU1brsxBhdeeCHuvvtuGGNwyCGHYI899kCfPn1QX1+Pn376CS+88IK1MHq9Xnz++efYeeedN/jcuyK//vorxo0bh2+++QahUAjHHXccttpqK+Tl5aGsrAyfffYZXnzxRavg7bDDDvjmm286dQ6PP/44AGDy5Mn44IMP0L9/fyxfvrxTz9HZZGdnIxKJAADKysqQl5e30efwyiuvoLy8HAsXLsSNN94IABg/fjyOOOIIAC3GiZKSEnz55Zd45513EA6HEQwGcdZZZ+Gaa65BIBBIOPYdd9yBiy66CADwt7/9Dffcc8+Gv6AtmBEjRuC7774DAHz55Zdb5Hpzxx134OKLL8a4cePw9NNPIy0tbVNPab2prKzEkUceiXfeeQfp6ek49thjse2226J79+6orKzE119/jdmzZ6O6uhoAEAqFUFlZuWknvQl56623cMIJJ2DNmjUYPHgwjjzySPTv3x9paWlYvXo13nnnHbz33nt2/0mTJuHuu+/eZPNVNixLlizB/PnzAWycZ8U5c+bgvPPOw4oVK5CSkoLjjjsO22+/PXJycvDf//4X06dPRyQSwcCBA/H8889jp512Sjrep59+ivHjx2P16tU46KCDMHbsWNTU1GDatGlYuHAhdt99d7z00kvo1q1b0nGmTJmCc889F8YYnHzyydh9992xfPlyTJ48GWVlZTj11FMxefJkeL2JfdaxWAxnnHEGHnnkEeTn5+Ovf/0r+vfvj88++wwzZsyAx+PBfffdh9NPP73VsRUVFXj55ZcBrH3OAoC77roLBQUFMMagoqICq1atwnvvvYfPP/8csVgMw4YNw/XXX4/DDz+8jTuvrAuqS215vPrqq/j73/+ORYsWYeutt8a4ceMwcOBA+P1+FBcX4+OPP8brr79ugwp22WUXnHnmmTjttNMAAMXFxXjzzTcBAOeffz5KS0sxYcIETJ8+fVNdUpdDOhCef/55q/NsqRhjcOedd+L6669HOBzGyJEjceCBB6J3795obm7Gr7/+irfeegufffYZACAlJQUHHnggLrnkEowePbrVeP/9739xxBFHYOnSpSgsLMSxxx6LAQMGIDs7G8XFxfjoo4/w2muvobm5GQAwbtw4zJkzZ2NechxPPfUUTjnlFOyyyy54+eWXkZOTs24DmQ0EAAPAXHPNNRvqFJa77rrLADBHHXWUicVirvtcc801BoAJhULmk08+cd2nvr7enHrqqXbu8+fP35DT7rLU1dWZbbbZxgAwBx10kKmsrHTdb/HixWbgwIEGgNlmm2022HwmTJhgAJj+/ftvsHN0FldeeaXJzMw0EyZM2NRTMe+++26bf4eRSMT861//MmlpaQaAGTFihPn5558TjrlkyRIzZMgQ06tXr4R/R0r7eeihh0x2drY56KCDTH19/aaezgbjhhtuMADMscceu6mnst7EYjGzzz77GABmxx13NKtXr3bdr6ioyOy6664GgPH7/Rt5ll2HH374waSnpxsA5oorrjBNTU2u+7300kt2v7/+9a8beZbKpmJjPCv+9a9/tc9/CxYsaLV9yZIlplevXgaAKSgoMCtXrkw41vLly023bt0MAHPBBRfEbaupqTF77rmnAWD23HNP09DQkHCcefPmGa/Xazwej5k7d27ctp9//tme45JLLkl6bRdffLEBYLp162aWLFkSt23OnDkGgPF6veall15KOg6fswCYZcuWue7z/fffm4MPPtju97e//S3h37PSOagutflz5513Gq/Xa9LS0syDDz6Y8N7+/PPPZvfdd7f3bYcddnDdr3///gZAl9AzuhJz5841eXl5ZtdddzXl5eWbejoblLq6OnPMMccYAKZPnz7mvffeS7jvW2+9Zbp3726/V5MmTWq1z5o1a0xBQYEBYCZOnGhqa2tdx/rss89MXl6etQ9sap544gkDwIwePXqddajN3hC2YMECk5KSYvLz801ZWZnrPlVVVfYB+1//+lfS8RoaGszgwYN/14v35MmTDQDj8XjMr7/+mnTfd955Rw1hXZT2GMLI22+/bTIyMgwAM2jQIFNaWrpxJqn8LmhubjZ77LGHAWAeffTRTT2d9eKNN96wf1cffPBB0n0XL15svF7v79oQdvzxxxsAZuutt06oAJCrr75aDWG/MzamIeyBBx5IuM+sWbPsXM4888yE+/3lL38xAEy/fv1MXV1dq+3ff/+98Xg8Sc9XV1dn+vbtawCYY445xnWfBx980BqxvvvuO9d9FixYYLxerwFgHnzwQdd9qCwlmi9pjyHMmJa1/Oyzz7b7nnfeeQn3VdYf1aU2b2bOnGk/w6eeeqrN/cPhsL1vaghTEvF///d/1iC9cOHCNvf/6quvTGpqakJD2D/+8Q8DwGRnZ5toNJp0rEcffbTLGMKMWSuTr7766nU6frMvlv/3v/8dTU1NOOeccxKmoX388ceoq6sDAOy2225Jx0tNTcWxxx7b6fPcnHjnnXcAAD169EDfvn2T7rvvvvuiT58+G2NaygbkT3/6E26//XYAwNKlS7X2gNKpeL1eXHnllQCAiy++uEO1eLoaXB+BtuXJVltthZEjR27oKXVpeL922WUXeDyepPsyDUhRNgSHHXZY0m0pKSkAgBdffNF1n0WLFuG5554DAJx88snw+/2t9tluu+2w5557AgBuuukm1zoqM2bMsKljbimLAHDiiSciEAggFovh5ptvdt3npptuQiwWQyAQwAknnOC6D8f/9ddfbbmJ9cHr9eKee+6x69o999yD559/fr3HVTYtqkt1PsuXL8df//pXAMChhx7arvsRDAZxyy23bOipKZsxzz77LB599FEAwFVXXYWhQ4e2ecxOO+1kv4tu8Dlt2LBhyMjISDrWscce2yplelNy9dVXAwBuvvlm/Prrrx0+frM2hC1YsABvv/02ACR8CACA0tJS+7qkpKTNcY8//njcdttt6N+///pPcjOE96uiosLmAifjjjvuwKWXXrqhp6VsYM4880xss802AICXXnrJ1nBRlM7gkEMOQX5+PsrKyjBjxoxNPZ11pqPy5KqrrkqoyP4e4P1qz73aaqutcMcdd+Coo47a0NNSfkecc845ePXVV9G7d++E+wQCAVvTa/Xq1a4NgJ577jlr2Npvv/0SjrX//vsDaOlq9emnn7ba/uyzzwIA0tLSsPfee7uOkZWVhT322ANAi2GuoaEhbnt9fT3mzZsHANh9992RnZ3tOs7ee+9t6zLyvOuLz+fDHXfcYX+/6qqrEIvFOmVsZeOjutSG4ZZbbkFNTQ2Alrpe7WXcuHEIhUIbalrKZowxxtYKDAQCOPPMM9t97IQJExJu68hzWiAQwAMPPJDQibOxGT58OHbaaSc0NDTg/vvv7/Dx62wI++qrr3DMMcfY7k/9+vXDxIkT8cMPP3RonF9//RUXXHABhg8fjuzsbGRkZGDrrbfG6aefnrTbDQDMnDkTANC7d28MGTIk4X65ubn29ZNPPtnmnLbbbjtcdNFF6NmzZ8J9jDGYNWsWxo4di549eyItLQ2hUAjbb789Tj31VLzwwgutHlw2F3i/6uvrrfczGUcffTROOeWUpPuUlJTgiiuuwA477IBgMIhAIID+/fvjmGOOweuvv94p8+YfwejRo1FQUIC0tDT06NEDBx10EKZMmeL6eVx55ZWtOrFMnz4ddXV1uP766611PDc3FwceeCDeffdd13NPnDix1Tiy+LPku+++wzXXXIM//vGP6NatG1JTU5GTk4PddtsN11xzTdzDxsbE4/HEdbt86KGH7Ovly5e3ur599tkn7vi33norYVebJ554AnvssQeysrJQWFiIsWPH2gKOQEs3nbvvvhsjRoxARkYGevTogeOPPx5Lly5tc96b8nMn5eXluOqqq7DzzjsjGAwiNTUVPXr0wP7774+bbroJixYtitv/2muvdT1/Ml555RX85S9/QZ8+feD3+5GXl4eRI0fipptuskXZJU1NTQk7r37yySc4/PDD0aNHD6Snp2PrrbfGZZddZhs9JOK1117DEUccgT59+iAtLQ1ZWVkYPny4XfOSdUf0er3405/+BACbtSFMypMnnniizf0POugg/P3vf0+6TzQaxe2334699toL+fn5SE1NRUFBAUaNGoWLLroIH3744fpOe5PB+zV//nwsW7aszf0vuOACa0hIxIIFC3D66adj8ODBCAQCCAaD2G677XD22Wdj4cKFrfbfEH8LQMvD49VXX41ddtkFOTk5SE9PR//+/XHiiSfi/fffb/P4hoYG3Hbbbdhpp52QmZmJUCiEHXfcEf/85z9RU1Pjuk6wicBee+3Vatvy5ctRXFyMCy64AEOGDEEgEHDtOldUVIR77rnHdoby+/3IzMzE0KFD8de//hXff/+963wTdS5ramqyUUJ5eXkIBAIYOnQoLr/88g5174rFYrjvvvuw8847IysrC8FgEHvttdd6RxyNGDECBx98cJv7ca5+vx8+n6/VdikHkhXUl4XBZQQp0NKNm9+N7bbbLmnzEI5TVVWFL774Im7bF198Ydf9ZHNJS0vD8OHDAQD/+c9/2uXcbA8jR47EiBEjAAALFy7Ef/7zn04Z9/eG6lJbpi5VW1trn+lyc3Ndi5MnIiUlBU899RSuu+669ZrD+uhd66qnJNMDnn/+eRxwwAHo3r07vF5vmx1rnc0hBgwY4LrP9OnTO9xl9cMPP8QJJ5yAfv36we/3IycnBzvuuCMuvvhiG60rcdPx5HOE5JhjjoHH44nToZJdQ0caHvznP/+xa8P++++PzMzMdh+78847Y/r06Tj++ONbbePf9tKlS/HJJ5+0OdZpp52GI488Mu69TaUDAmudT1zLOsS65FNOnTrV+Hw+WxD0rrvuMg8//LA59dRTTSgUMm+++Wa78tqnTZtm/H6/AWDGjBlj7r33XvPQQw+Zk046yfh8PuP1epPmfO6www4GgDn44IOTzrekpMSkpKTYOZ166qlmzZo163Lpdry9997bADDdu3c3l156qZk6daq5/vrrbRFlbotEIut8nk3F3Xffba8hFAqZxx57zDQ3N6/zeK+//roJhUIGgPnzn/9s7r33XjNlyhRzzjnnmMzMTFsnI1H9ivbUCFu2bJnZdtttDQCz/fbbm5tvvtk88sgj5qqrrrK1OEaMGGF++eWXuOO++eYbM3PmTFskFP+r67H77rubcePGmQcffNDcd9999nP1+XyuRWc//vhjM3PmTJtnDcC8++67rfZ7++237fahQ4ea6667zkyePNlceeWVZrvttjMATI8ePcyXX37ZoXvsRkdqhJEvvvjCHtO7d2/7fiQSMTNnzjQzZ840Q4cOtcUJJatXr7b7sOjihAkTzKRJk8zIkSPNv//9b3PnnXfav520tDTzxhtvmKamJnPUUUeZY4891jz88MPmn//8pxkwYIC9F8kKF2/qz92YlmLghYWFBoDZf//9zW233WamTJlirrrqKnsdAMyzzz5rj/nvf//b6vzTpk1zHT8ajZrx48cbACYYDJq///3vZurUqebWW281O+20k71PzsK1sVjMfh685/379zezZs0yffv2NVdffbV55JFHzGWXXWays7MNADNq1KiExY8nTZpki0mff/755qGHHjJ33XWXOfbYY22dmmHDhiX8rIwx5l//+pe9n5trMVMWoOZ3+I477khae6ctvvzyS9O7d28DwAwfPtzcdNNNZsqUKebKK680W221lT3XmDFjOvEqNh6HH364vYZtt93WfPjhh+s13o033mgLD5922mlm8uTJ5r777jNHHHGE8Xg8xuv1mttvvz3umM7+WzDGmNdee83Ktb322svceeedZvLkyeass86ydXROO+0009jY6Hp8WVmZ2XnnnW1djvPPP99MnTrV3HjjjWbYsGFm2223Needd569d5w/64G8/vrrZubMmeaMM86w+7z++uumd+/e5rjjjjMPPfSQueWWW2wReMqAuro6+zyUl5dnLrzwQvPwww+bG264wRxwwAEGgElNTXVdj4qKilqt8ccee6zZZ599TL9+/czVV19tpk6daq688kq7Jvbt29csXrw44X3k3K+66iozbtw4s88++5h77rnHPPzww3bdQ5IaWJ1FcXGxPdf+++/vug+vKTs7O+lYX3/9tR3r+OOPj9v2448/2m1jx45NOo6UD5MnT47b9tBDD9ltd9xxR9Jxxo0bZ/ddtGiR6z7trREmOffcc+0x//jHP9p1jLIW1aW2XF3qrbfesvN3PiuvL+2pEbY+etf66CmJ9IALL7zQDBo0yI513HHHxcm2M8880/5+3nnnmZkzZ5r//ve/cWPPnj3bzJw50/To0cMMGTLE7rNkyRJ7zrb+Xpqamsw555xj1/FJkyaZqVOnmrvuusvsv//+BoBJT09vVc+NOh6fD0aOHGlmzpxpZs+eHbdfXV2dycrKMgDMgQce2Or8vIb8/Hyzxx57mJkzZ7ZqcpKMK6+8ssN6XXv4+9//bsft1auXmTdvXofH2BQ6IJGfvfN70xYdNoS9//77Vuk5/fTTWxW/fffdd+1DfbIP6rnnnrP73HPPPa22v/zyy1ZA3HDDDa2219bW2nmcc845bc5bPizyi37ccceZF154oUMLbH19ve0EtvXWW5vi4uJW+9x88832PBUVFe0em0ybNi1uruv6s66Ul5ebHj16xI3Vr18/849//MN88cUXHRrr008/tR0J77rrrlbbf/jhB5OTk2OAxAWS2zKEVVRU2D+aI488spXiUVVVZT+zHXbYwXXhX7Zsmb3W3r17m+uvvz5ue3Nzs9lrr70MkLwxgDQ+uRnCXn31VQO0FBl0KlmNjY3mxBNPtMpDoq4d7WVdDGENDQ220C8AU1RU1Gqf0aNHtyncKah79+5tjjjiiDhDalNTk1W4ttlmG3Pvvfeau+++O+744uJiu5Am+vvuKp87t7sVWK6vr7fb3RRLef5EhrDDDjvMAC1dwZwdPZuamux3Jisry/z444+uY/BvKBgMmm233bZVp0NZAN6toCsf6gKBgFm6dGmr7S+99JLxeDxtNrR4+umn7XneeOONpPt2VRobG82wYcPi1sdu3bqZSZMmmffff79DXdSWLFliH1aPOuqoVt/hhoYG+/knKpzbFlLBXdef9XmQ//DDD62s5s9uu+1m7rrrrnYr3IROmvT0dNcCzE8++WTS77Ex6/+3YIwx8+fPt4VnnZ0DjWkxbvJh+PTTT3cdg2tgMBg033//fdy2hoYGc8ghh9hnoGTyXD4v9OnTJ87gbkzLM5uUAbW1tXZft46nLNKekpJivvnmm4Tn5Rrv8/nMzjvvbKqqquK2FxcXm0GDBhkAZsiQIaampsZ1HLn+uj0DnHzyyQZoccqtr0xMxsMPP2zn8vzzz7faXldXZ7dvtdVWScdatWqV3XfUqFFx21577TW77bTTTks6jvw+Ow1Nl112md32+OOPJx1HPv8mWnfXxRA2depUe0xbRhQlHtWltmxd6qabbrLHJ5IB60pbhrD11bs6S0/hPPv06WP22GOPVt+PP/3pT/b+lpWVWWPuCSeckHDMb7/91gCJjf9t/b3Q4FNQUODqoOHn5vP5XJshHX300QZoMRa5Nf+ZN2+enUNqaqrr93bx4sUGgHnooYcSXmciDjroIDv+E0880eHjE/Hzzz/bhmn82Xbbbc0NN9xgfvjhhw6PtzF0QMmnn35q5+10GrVFh//Cd9xxRwO0eBKrq6td92GHnkRfxkgkYvLz8w3Q4gVJBNvv+ny+Vl9Y/jEAMP/85z/bnHdNTU2cd9G5kB9yyCFmypQpbUYpyMUt0QNFLBazHpbNbfEmX3zxhfUkO3/4wPrWW28ljRSLxWJWYdxjjz0S7nfLLbcYoKVLpVv3i7YMYWeddZYBYDIyMhJ2O5R/JG6LjzRI9OvXz9WL/8gjj9h9EnlV22sI++qrr1yPD4fDVhhMnz7ddZ/2si6GMGOMVcwBuLaa74ghzOPxuD5US4PItttu6/o94gNXnz59XM/RFT73cDhstyXyoLz++usGWDdD2FNPPWW3T5kyxXX8cDhscnNzDQDzxz/+0XUfqeQkEhKMoHNGMBhjzAUXXGAAmF122cX1WGOMGTlyZJuGMPmdvO+++5Lu25VZunSpjUR0/uTn55uTTjrJzJ07t812znyoyc7OTtipa82aNSYlJWWzNYQZ0yLTGCXl/BkxYoS54oorXNcayYoVK+zD/aWXXppwvz//+c8GaHlId/t7Xt+/hVgsZj/7AQMGmIaGBtcxGP0IwLzzzjtx22RUoZtyyuuV0ReJkM8Lhx12WKvt9fX1ZsKECdZzTUPYnXfemXDMP/zhDwZoaaOeCK7xAFpFo5Lnn3/e7nPTTTe57sPtGRkZJhwOt9ou14wNaTynUr7nnnu6KjglJSV2HsOHD086VkVFRdz3W/Lss8/abeeee27ScWbPnm33/dvf/ha3jVENAMxzzz2XdBxG8wLuRj5j1s0QJueXTDYorVFdasvWpfjMBMBceOGF6zRGIpIZwjpD7+osPUXKCLexnn766bhrOPbYY+33KNHnPWnSJJOampowEjHZ34vUBxJFGMdiMRv19oc//KHV9ieeeCKp3DvllFNMIBCw+7g5KW655Rbj8XhcHVFtwShyILHOsa68+uqr1kDq/Bk8eLD5+9//3u4OsBtDB5RIXeqiiy5q1xxJh2qEffXVV/jmm28AtHTAyMrKct3vmGOOSTrOE088gbKyMgDJu0SxsFtzczPuu+++uG2//fabfZ2ow4kkEAjghRdewPPPP4/dd989bltdXR1eeeUVnH766ejTpw8uvPBC15o7AHDvvfcCAHr27JmwjonH48GRRx6JUCjUZpcsN8aPH4+FCxeu98/6sMsuu+CHH37AVVddZQvIkpUrV+Lhhx/G/vvvj6FDhyYswPrWW2/ZWiNuOclkzJgxAABjTLtq7kiqq6sxbdo0AC21ePLz813323333VFQUAAAbXZOGjNmjO0eJdluu+3s6x9//LFD8yT77rsvVqxYkbCmRzAYtAXrN1XNDfl3XVVVtV5jbbfddq459LxGoKVjpdfbeinadtttAbT8rTv/HrvK5y7rrSSqCbTXXnvh1VdfxQEHHJD0/G7cc889AFo6MCVaV4PBIMaPH2/nwDU6EePGjXN9n9fp9t1m4ehFixahqKjI9fiHHnoIjz32WNJzy7XarQ7D5sLAgQPx9ddf4/bbb0e/fv3itpWVlWHmzJkYN24cBg4ciAcffNC1c9xPP/1k63SMGTMmoRzr1q0b/vSnPyUsht0WN91003rLkvWt6TZx4kQsWLAAEyZMQHp6ety2BQsW4IYbbsCIESOw77774uuvv3Yd48EHH7S1YtojT1asWNHmGroufwtvvvmmla/JuifJwrT//ve/47Y98sgj9vVxxx3nenyfPn0watSoJLNvzdFHH93qvbS0NEyfPh2HH344ACA9PR0rVqzA2WefnXAcPiO1Rwb179/fFnV3MnbsWPu9nTp1atJxRo8ejWAw2Op9ygFg3eVuW0yfPh1ffPEFsrOzbb0ZJ7W1tfZ1srpezu0slt1Vx1kfOvNZ4feE6lJbvi4l/x7a6sLXmXSG3tXZespWW23lOtbRRx8dVx/r1FNPBdDyPXKrQdfQ0IDHH38cY8eObaWXtgfKYa/Xm/Bvy+Px4JBDDgHQUj90yZIlcdvHjBljZf7s2bPjtjU3N2PevHk488wz0b17dwDACy+80Oocs2fPxsiRI1FYWNjha9iQ36uDDz4YCxcuxHnnnddKFi9ZsgR33303Ro4ciV122aVV7ctEbCgd0Mn66Battb4kfPDBB/Z1suKcLMyZiLfeesu+TtaCl+3WjTFxxwCIK2Tb1kOA5IgjjsARRxyBRYsW4fnnn8fcuXPx2WefWUWlpqYGd955J1599VW899579ssMAD/88ANWrVoFANh1112TLsxXXXUVrrrqqnbPSxIKhbpEx5BQKITrrrsOV199Nd5++23MmTMH8+bNw8qVK+0+ixcvxtFHH40LLrggrosQEP85Dxo0KGFxRfnH7NZhKRkffvihbee8zTbbJC0037NnT5SWluKLL75ALBZz/cPjOG7IQqEdKQAs8fv96NOnj/29ubkZkUgEjY2N9j0+FPG7trGRC876fg+33npr1/elUp9oH7kQh8PhuGO6yueem5uLESNGYMGCBbj99ttRXl6OSZMm2SLCQMv3uz2Fmp1UV1fbYpJDhw5NagjZbbfdbDvlt956CzvuuKPrfjk5OXFrmvNaAPfv9ujRo3HPPfeguroae+65J66++mocddRRcYU6t99++zavye/329ftKUbelfH7/bjwwgtxwQUX4KOPPsLs2bPx4osv4ueff7b7rFq1CmeffTbeffddzJo1K+67xy5dQNut6NenoUjPnj2TFiveWGy11VaYPn067rnnHsybNw9z587Fa6+9FrfevPfee9hjjz3w1FNPuRZiBVqMwoWFhQn/5uWa9emnnybs7reufwvtfX7p27cvevTogeLiYrz77rtobm6Gz+eDMcY2P8jJycHAgQMTjjF8+PB2Fd0nw4YNa9d+UgYZYxCNRlFfX2+fg/h32h4ZJNc6J6mpqRg+fDjmz5+PJUuWYPXq1Qm/i4nW35ycHPt6XeVuMn766SdMmjQJXq8Xjz/+OLbaaivX/QKBgH3dVvFuud2prHS1cdaHznxW+D2hutSWr0vJ80qj9YamM/SuztZT2iuX9ttvPwwYMADLly/Ho48+2spZM3fuXJSVlVmDWUfhM1e/fv3Q3Nyc8N7IZ/5PP/0UgwcPtr+HQiHss88+ePPNNzFnzpy4juDvv/8+SktLcdRRR6GqqgqPPPIIXnvtNdTW1tr1etWqVfj0009x6623rtM1bOjvVWFhIf7973/jlltuwauvvoq5c+fi5ZdfjrtXX331Ffbff3/cfffdOO+885KOt6F0QCfro1t0KCJMdnzq1atXwv3kl8gNqSgka2edkZFhrXzyGABWCQaQ0CObjCFDhuDyyy/HJ598glWrVuG+++6LEzoLFy7E3/72t4TzlovElk5KSgoOOuggPPjgg/jtt9/w2WefYdKkSXFfUgo8yeLFi+1rWvDdfgYNGmT3SxRtkgh5jptvvjnhObp164YFCxYAaPnuVFZWJhwz0R+b/ENza63eXlavXo1LLrkE2223ne1WIuf58ccf23lubBoaGuIebtfF6yJJdC+lQaA9+zjvd1f63KdOnYq8vDwYY/DII49g++23x9ChQ3HxxRfjo48+co0Gag/Lli2zEWfJ1kkgfj1yrpWS9ggSt2s84ogjcOKJJwJo6SozceJEdOvWDePGjcPUqVOtV7ot5Fq9MR8ONyQejwd77bUX7rjjDixevBjfffcdrrzyyrgH/2effRYPP/xw3HG/V3kSDAZxwgkn4JlnnkFpaSleeuklHH300bZLX2NjIyZOnNiqjTf/5hsbG9GjR4+Ef+8yMiKZPFnXv4X2Pr8Aaz/Xqqoqez3hcBgVFRUA0KaBsq1nKSduEVVu1NXVWe9uRkYGsrOzUVBQYO/hbbfdBgBJu8ASaahyQ96jZF1DN7TcdaOkpARjx45FVVUV7r//fhx22GHtml9bslmubc7r6mrjrA9SOVrfZ4XfE6pLbfmyT/49bAgDfiI6S+/qTD2lvXLJ4/Hg//7v/wAAX375Jf773//GbX/kkUfQu3dvHHTQQe0aT1JVVYXi4mIAwPLly5PqDFdccYU9zu3eMLr6p59+iotSnj17NgoLC/GHP/zB7lNTU4M33njD7jN37lwYY2wWR0fZWN+r9PR0jB8/HtOnT0dRURHeffddnHrqqTai3xiDCy64AN99913ScTaUDuhkfXSLDkWESSubM70hblCX9CKJVLSlV8sNbq+vr0d9fb19KJLnl1bqdaGwsBDnnHMOzj77bNxyyy24/PLLAbS0eq2qqrJ/xHLeya5/fQmHw1i9evV6jzN06NBOmE1rdtttN+y222644oorcPjhh9sF8dFHH8Wf//xnu5+8Xw8//HDcwpuIjnor5TnOPvvsdi8uyVrOJooY6gw++ugjjBkzBuFwGIWFhbjmmmswdOjQuAeeCy+8sM121xuKb775xhpu+vbtmzBior20516uy/3uSp/77rvvjoULF+Kuu+7CzJkzsXLlSvz000/46aefcPvtt2ObbbbBrbfemlTJcmNd1kkguXBcn+/2zJkzccwxx+Dee+/F22+/jdraWrz44ot48cUXcc4552DChAm45ZZbkj68y7W6rWvaXBk2bBj+9a9/4dJLL8XJJ59sw+cfffRRnHXWWXa/jSVPVq9evd4PTBkZGa1SQDuDtLQ0jBkzBmPGjMHXX3+Ngw8+GGvWrEEkEsEzzzyDc845x+7L+5WVldUqJSERyZTDdf1bWJ+/y8LCwnY/RwFtP0s5ac81FRcXY//998d3332H9PR0nHrqqdhjjz1QWFhoIzNmzJjR7jbkNGAmQl5jsvSGDSl33aioqMBBBx2ExYsX46677sKZZ56ZdH+/34/CwkIUFRVZhSoRcnv//v3jtsk0ka4wzvog05h32WWXTht3S0d1qS1fl5J/D9I4taHpDL2rs/WUjqztp5xyCq699lrEYjE88sgjtjzIihUr8Oabb+Lyyy9vU+a4Ie/L4MGD8dBDD7XrOBkNRg477DCce+65MMZgzpw5uOyyy+zrww47DF6vF/vvvz+ysrIQiUQwe/ZsW4Zh9uzZGDFihOu47WGXXXbBa6+9BmDjfa98Ph/22Wcf7LPPPrjiiitw8MEHY9GiRWhubsZjjz1mHWdubCgd0Mn66BYdesqSeezJrMCybo4bTk9WMmsxLXt+vz/OMyjn0lZYeHvxeDy47LLLMGfOHHz66adobm7GTz/9ZEOOO+KBWx9mz56NU045Zb3HWddIlPbSrVs3PPLIIzaP94cffojbLu/XiBEjMHLkyE6fgzxHnz59EtYa6Ao0NDTg2GOPtcJlwYIFtn6VpKNRAJ3Ju+++a18nSinqCnS1z7179+646aabcOONN+Ljjz/Gs88+i1mzZqG4uBg//fQTxo0bhyeffDJhPSA31tXjvyFTAQ499FAceuihKC0txZw5c/DUU0/h3XffRUNDA6ZMmYJPPvkEX3zxRcIUC7lWJ6qLsqWQlZWFqVOn2tD4ZOvjhpQnl19+eZu129pi9OjReO+99zpnQgnYaaed8M9//tMaC93uV0VFBRoaGjbp3/v6/l229zkKaPtZal0477zz8N1338Hr9eKNN97A3nvv3Wofpm62h7bmKK+xM6OR1odwOIyDDjrI1vn7+9//3q7jhg0bhqKiIlRXVyMcDidca2XdJWda0FZbbQW/34/6+vo2a5kkG0f+3t5x/H7/Oitgbsg1YVPL4M0J1aW2fF1qr732QiAQQG1tLb799tukZTk6k/XVuza1ntKnTx8cdNBBePXVV/HEE0/gtttug9/vx7Rp02CMsRFjHUXeF5/Pt17rVZ8+fbDLLrvgiy++wOzZs3HZZZfh888/x4oVK6xTPj09HQcffDCee+45zJs3D01NTYhEInjvvfesgXhdOPDAA3HDDTcAQMJ6qhuSgQMH4t///rcNenE+p20q1ke36NBfpbQsJ8sLZth/ImQNBinondTW1qK8vLzVMUC8p7et861YsQKFhYX2y9MWcuGQC6Ccg6yTtaVx++23o7CwMGmKFRk6dKhNjXAKC5n3+8svv3TqHDfmOTqLDz/80H7fJ06c6CpcNiXGGEyZMsX+LqNXuhpd9XP3eDzYc889cffdd2PFihW4//77bcjuRRdd1KGxBg4caD1fydZJ5/ZENW46k4KCApx22ml4++23sXDhQqtML1iwIKnRRaZQbq4pEU8//TQKCwvjjMaJyMvLs7WPnOvj70WeHHHEEe2qHwcklr3A2r/5hoaGDqfQdybtfX6R24PBoE1pyMnJsUpEW9EKbT3bdJS6ujobTbf77ru7GsE6SrJ0cyD+u52sHtrGorq6GgcffDA+//xz3Hzzzbjwwgvbfey+++5rXydrSvLVV1/Z13/605/itvl8PnvfFy5cmNT4wHGys7Ox6667xm3bbbfd7AN/srk0Njba9JXRo0evUzSFG++//74tJD5s2LBO+S79XlBdasuXfenp6dZoU15e3qFaj9999x0OP/xwHH744R0u1r++z8ZdQU9hDbDy8nLMnj0bxhhMmzYNo0ePbleEmxvBYNBmuPz222+IxWLrNUemPn7++edYtWoVZs+ejWAwGLfe0yhWXl6O//znP3jppZfQ2Ni4zmmRALD33nvbupxvvvlmh5qfzJo1C4cffjiOPfbYVtGfkyZNQmFhYbvKISR7TttUrI9u0SFDmBR0UtA7aStnVHZP++KLLxLu98UXX9ib7LTebr311jaMf82aNUnP19zcjOLi4naHccoPVqaDbLfddlZofPnll0nHePTRR3HsscfaEMaOMHHiRBhj1vtnXYlEIiguLm532CXP5Qy5l58z0ycTcf311yMlJQVXX311h+a611572dDqts7xwQcfICUlBaNHj+7QOToLqbz17ds34X6bqoj4v//9b9shZdy4ca06AnUlusrnXllZiSuvvNK1yUNqairOPvtsWx9j1apVSYv6O8nOzrbd2H766aek34vPP//cvt4QnvkXXngBN910k+u2bbbZBnPmzLFpHM66DhK5Vg8ZMqRzJ7mRqK2tRXFxcbs72CVaH+XnlEwOAi1G1GOPPRa//vprB2fb0hFvfWXJ+kSDlZeX44cffmjXuibl1vrIkwMOOAApKSlxDQk6i/Y+v6xYscKmpO27775xBgg+S1VWVmLp0qUJx2jrWaqjlJeX2wfgzpJByeYojTBbbbXVJm/aEI1Gccghh+CTTz7B9ddfj0svvbTVPi+99BJ23XVX12e8o446yr5O9t1iweo+ffrgD3/4Q6vtf/nLXwC0pKklir6LRCJWrowdOzYuigdoiewZO3YsgJaCztFo1HWcDz74wCo3cv7rQ1NTU5wB8frrr9/oqa2bM6pL/T50qX/84x/WWH333Xe3+7h7770Xc+fOxX//+98OPyetr97VFfSUww47zDqOHnnkEbz99ttYvnz5OhfJJ7w3NTU1bXZXHzJkCFJTUxMGhNAQZozB3LlzMXv2bIwZMyYuG8LZYXL27NkYMGBAwmZW7cHj8VhDdE1NDSZPntyu42KxGK677jrMnTsXaWlpreoBhsNhFBcXJ30eIcme0zYV66NbdEhy7bTTTrbDyUsvvZTwD+GZZ55JOs4JJ5xgrczJ6lCwZbvP54urFQK05IDSKtqeyCUAeO2119r0eMRiMVvYbuedd27V3pQdElauXJkwIqC5uRn/+te/8Mwzz7i2Dd1ceOqpp9rcZ/78+bb+DFvOkv32288WzXz66acTfl/q6+sxbdo0xGKxDqWOAS3GAnpdFixYYLvsufHQQw+hubk5aUvhDYlUAhIp0dFodJ3bNa8Pr7/+ug3X3WqrrWwHwq5KV/ncKysrccMNNyRd8/jA5/P5ktYoc2PSpEkAWqJgnn76add9qqurMWfOHADAH//4x/USsol48cUXccUVV8S1bpbk5ubaa0uWnkHjutfrbbNTYlenPevjihUrrDLjXB+HDBliw8tfeumlhJE1S5YswR133IEPP/xws42ia25ubvO5AEBcwxVZbxIAzjzzTPuQOXXq1IRj/PTTT3j77bfRq1evDWL83n///bHddtsBaPGwJiriyucXYO3fMZEP9LNmzXI9ftWqVfjoo4/Wd7px5Ofn23uYzJDblmFWsnz58oT7z5s3z9ZmOe200zow086npqYGY8aMwYcffohrr702riCypLS0FF9++aVrPbNtttnGdjOdOXOmazTXjz/+aI1bl112mWtHvJNPPtn+LSf6Lj/55JOoqamB1+vFZZdd5rrPZZddBq/Xi9raWjzxxBOu+3D8vn37xjWSWFeam5tx1lln2c/8ggsusEqh0j5Ul/p96FK9evXCjBkz4PF4MHfuXDz77LNtHvPJJ5/Y5+/bb7+9wxGc66t3dQU9JTU1FSeffDKAFofDP//5T4RCoVadpDuKlMPJniHefPNNLF68GLvuumvCDIthw4bZbXfeeSd++umnVusgO0wCLc7k1157bb2iwcjYsWNtOv91113XrqCVO++8EwsXLkRmZiauv/76hPu157lWPqc5n2s3FfIeMICg3ZgO8v777xuv12sAmDPOOMPEYrFW2zMyMgwAA8Bcc801ruPMnj3b7nPvvfe22v7aa6+ZlJQUA8DccMMNrmNceOGFBoDp3bt30jkvW7bMnuvAAw80FRUVrvvV19ebs88+2wAwXq/XvPHGG6777L777gaA2XbbbU1paWnCeZ1wwglJ59VVueaaawwA4/F4zP33359wvyVLlphtttnGADBbb721qa2tbbXP559/bvx+vwFgjjvuONPQ0BC3vaGhwUyYMMEAMH/9619dz8Pt/fv3d91eUVFhBg0aZD+T4uLiVvtMnjzZADAjRoww9fX1rbbL78i0adNcz9Oefd599127z7vvvhu3rb6+3vTu3dsAMBkZGea7776L297c3GzOOOMMe/zo0aNdz9Fe5FwS/R1WV1eba665xv6t7bDDDmbp0qVJxx09enSb8+vfv78BYCZMmOC6vT33ctq0aXafZcuWtdreFT53bguFQubnn39udWxtba3ZddddDQAzfvz4dTr/4YcfbgCY7t27myVLlsRta25utn8fWVlZ5scff3Qdo62/obb24bZzzz3X9djnnnvOrptfffVVwnMcffTRBoDZfffdE+7T1ZHfy8svv9w0Nze77ldcXGxGjRplAJj8/HxTVFTUap+lS5eanJwcuz42NTXFba+pqTF77rmnAWCmTJmyQa5nQ8P1Iicnx3z00UcJ93v99ddNZmamAWBOPPFE133uvffepM8NpaWlZsSIEQaAefLJJ13HWN+/BWOM+fTTT01aWpoBYC666KJW27/++muTnZ1tAJjTTz/ddYwDDjjArh0//PBD3LbGxkYzduxY0717d3u9iWhrnXTyl7/8JemaM3PmTLs92Xm5xnfv3t3stttuprq6Om77mjVr7Po8ZMgQU1NT4zpOWzKqvfsko7a21uy3334GgDnggAPMu+++m/Dn0ksvdZXfZNmyZSY/P98AMBdffHHctpqaGrP33nsbAGbkyJGtnnckc+fONR6Px3g8HjNv3ry4bUuWLLGf/YUXXpj02vi82b1791ay+8UXX7TnmDt3btJx+J1P9j1asGCB2X///e1+kyZNSrj+KclRXWrL16XIAw88YHw+n/H7/Wby5MmtPmvy6quvmtzc3IRyhbT1fL0+eldn6iltzTMZP/zwQ5wcOuuss9p1XFt/L/xO+Xw+M2fOnFbbly1bZnr37m18Pp/54IMPkp6LYwEwfr/fVFVVtdrngQceiLuO999/v13X0RZNTU3mpJNOMgBM3759E47b1NRkbrnlFuP1ek1KSorrNRuzdv1PS0szs2fPTnjeL7/80vTo0cMAMHvvvXfC7/LG0AEll1xyiQFgevTokXBOiehYSyK0hPROnjwZf/3rXzF58mR8//33OProoxEIBPDZZ59h5syZuPvuu219oW+//RaPP/44MjMz4yyhhx9+OB577DGcccYZ+Nvf/obXX38dBx98MFJTU/HRRx/hiSeeQCwWw1VXXYV//OMfrnM58cQTcccdd2DlypVYvHhxXG60JBAIoHv37lizZg3eeOMNDBo0COPHj8cOO+yAUCiEmpoa/Pjjj5g9ezZWrFiBYDCIBx98MC7ElKSlpeGVV17BEUccgffffx/Dhw/HKaecgsGDB6OoqAgvvvgiPvvsM+y999544IEHOnp7uwS9evVCamoqGhsbcc455+Dhhx/GIYccgoEDByItLQ2lpaX49NNPMW/ePNTX12PnnXfGCy+84Nr9Zdddd8XLL7+Mv/zlL3jqqafwzTff4Pjjj0fPnj3x66+/4umnn7aWdGfo8OOPPw4ANlQzGo3a9w444AD06NEDQEvNlXfffReHHnooFixYgGHDhmHChAnYdtttUVJSgrfeegtvv/02hg4dinnz5sWFri5duhQff/xxXMra/PnzkZKSgu233x7bb789iouL8eabb7ruM3jwYIwcORLz58/HkiVL4rwkb775Jn777Te7T1paGmbOnIlDDz0UNTU12HXXXXHKKadg++23R3l5OebMmYNFixbFdabi9Z544ont/vxeeeUVlJeXx82Ff4dAS2pXSUkJvvjiC7z99tu2m89ZZ52Fa665xrXjRjQatbVlmO4j58e/be7DNI2lS5fi8ccfR48ePXDAAQe0635/++23+PbbbzF//ny7z5w5c1BQUIBRo0bZGgFd4XNPS0uD3+9HOBzGiBEjcMIJJ2DYsGHIzMzEr7/+iqeeegpLlizBiBEj4tYDXqPb2LxX5Mknn8RJJ52E559/HjvttBNOPfVUDBs2DBUVFZg1axa+/PJL9OjRA3PmzLH1qOR9i0Qirn9D/E69+eabcSHRcp/x48cjMzPTRnndd999+OijjzBu3Dj07t0b1dXV+OSTTzB79mz4fD7ceeed1tPtxBiDd955BwA6JTJhU9GtWzdbBPemm27CM888g8MOOwzbbLMN0tPTUVFRga+++gpz5sxBdXU1Bg8ejOeee86uV5KBAwfinXfewWGHHYannnoK33//PY4//njk5+dj2bJlmDFjBn777TdMmjRpk0fUrCsMna+srMTee++N/fbbD6NHj7ae599++w3vvPMO/vOf/wAAjj/++ITe2nPPPRe1tbW4/PLL8be//Q1z587FmDFjEAgE8NNPP2H69OkIh8O48cYbW0UXd9bfAtBSX2vevHk4+uijcfvtt+PTTz/FEUccgaysLHz99deYNm0aamtrceqpp+L+++93vZZZs2bhgAMOwFdffYU99tgDp59+OoYNG4aSkhI8/vjj6N27N84444yE3lvKHLd1Ul6Tk7vvvhtfffUVlixZglNOOQUvvvgi/vjHP8Lj8eD999/HnDlzsPXWW1sPq5vMlfz5z3+G3+/H8OHDMXHiRPTr1w/Lly/H1KlTsXr1avTp0wcvv/xynFzh2iqhjOLaKmWOcx/nGtkWZ555pk1lfPPNN1uduyMMGDAA8+bNw/jx43HbbbdhwYIFGDt2LGpqajBt2jT88MMP2HXXXTFnzpxW6SeSww47DA888AAmTZqEI444AhMnTsRuu+2GX375BQ899BDKysowceJE3HrrrUnnc+utt6KsrAzTp0/HbrvthjPPPBP9+/fH559/junTpyMlJQX33HOPa9fiiooKvPzyywAQlxLD75ExBpWVlTZq54svvkAsFsPw4cNx/fXX205oSsdRXWrL16XIWWedha233hpnn302zjjjDNxxxx047LDDMHDgQPj9fvz66694/fXX8cknnyArKwv//ve/bcQckWum8/kaiF/v10fvWl89Ra7bbvPk83VbbLvtthg1apRN70yWFsnneQn/XrKysuIitW699VY0Nzfj7rvvxvjx4zF+/Hjsu+++8Hq9tsZtLBbDo48+ir322ivpHA8//HDccccdAFoixd2awYwbNw7nnHMOjDHo3r079txzzzavvT34fD7MmDEDu+yyC6699lqMHj0ae+65Jw444AD07t0bzc3N+PHHHzFnzhwsW7YMAwYMwKOPPhpX51LSt29feL1eNDQ0YPz48Rg1ahQOOOAA9OnTBz6fD8XFxfjwww/x2muvobm5Gfvvvz+eeeaZuIjnZJ/9htABJSxHcOKJJ7pGYSelQ2YzwZdffmn+8pe/mO7du5vU1FRTWFhojjjiCGuVhLCAIomn4ZdffjHnn3++2W677UxmZqZJT083gwYNMqeddpr55ptv2pwHvc1teQqbm5vN+++/b6677jozduxYM3ToUBMKhYzP5zOBQMD06tXLHHDAAebWW2919dw7icViZtasWWbMmDGmR48eJiUlxYRCIbP33nubhx9+uJVnf3OjoqLCzJo1y5x77rnmj3/8o+nTp48JBALG5/OZYDBohg4dao4//njz/PPPt+tay8rKzLXXXmt22WUXEwqF7Hdm7Nix5oUXXnA9xvkdkj9u3trGxkYzZcoUs//++5uCggKTkpJicnNzzV577WX+/e9/u0asSYuz84ffKRlZ5fyhtVt6UxPtQxYtWmROO+00079/f5OammoyMjLMdtttZ84//3zz66+/2u+0/OkIO+ywQ9J7l5qaarp162a22247c/LJJ5upU6eaysrKpGNK673bz7Jly5LuQ69Re+43IxLdftw8B5vyczemJQrlgQceMOPHjzeDBw82gUDApKSkmIKCArPvvvua+++/v1U0WrJrTORhe+WVV8yRRx5pevXqZdLS0kxOTo7ZfffdzQ033GDC4bDrMfTKuP0Qt++b/FzJ+++/b84//3yzxx57mLy8PJOSkmICgYDZZpttzBlnnNHmev3yyy8bACY3N9fVc7Y5EY1Gzdy5c81FF11k/vSnP5kBAwaYzMxM4/V6TVZWlhk8eLA54ogjzPTp012/f04ikYi57bbbzKhRo0xubq5JSUkxPXr0MOPGjXP1pm9uLFu2zDz88MNmwoQJZrfddjPdunUzaWlp9m91l112Meecc46ZP39+u8ZbuHChOeuss8yQIUNMRkaG8fv9ZtCgQWbixInmyy+/dD2mM/8WSElJibnqqqvMTjvtZILBoPH7/aZv377muOOOM//5z3/avI76+npz6623mh122MEEAgETCoXMrrvuau666y7T1NRkrrrqKgPApKSktDo2mcxpS2ZUVlaaq666ygwfPtwEAgGTlpZm+vXrZ44//njzySefuK5PTpnr9PjOmDHD/PGPfzR5eXnG7/ebrbfe2lx66aWuUSPtWVvbI0/aS7LPNdFPoogwUlxcbC6//HKz7bbbmoyMDJOTk2P+8Ic/mHvvvTdpJJiT//73v+aUU04x/fv3N36/3/To0cOMGTPGvPjiix26xnnz5tnnUb/fb/r3729OOeWUpOvy119/3eZ9yMjIMH369DGjRo0yF198sXnzzTc77HFXEqO61JatS0kaGxvNk08+aY477jgzePBgk5mZadLS0kxhYaHZb7/9zK233uqa2WBM8jUz0Xq/LnoXWVc9pS1doSNRvY888ogBYLbffvuk+yV7nk8W1T1x4kQzYMAA4/f7TSAQMEOHDjXnnHOOWbRoUbvm19zcbCN3k0Xs77HHHgaAOfXUU9s1bkcpLy83d999tznooINMnz597PUMGDDAjB8/3jz22GOmrq6uzXGKiorM9OnTzem7mPDBAAEAAElEQVSnn25GjhxpCgsLTXp6uvH5fCYUCpntt9/e/N///Z95/fXXXY/fVDrg999/b4AW3batjCY3PMasRyXALsA333yDXXfdFXl5efjpp582WEtXRVEUZd0wxmDPPffE/Pnz8fDDD+OMM87Y1FNSlC7P+eefj7vvvhvdu3e3kbhdhQEDBuCXX37BhAkTMH369E09HUVR1gPVpRRF2Rw59thj8fTTT+Pyyy/HjTfe2OHjN/s2LzvuuCNuvPFGlJSU2BBiRVEUpetw2223Yf78+TjiiCNw+umnb+rpKMomZ9GiRW22t1+0aBEAtCuVRFEUZV1RXUpRlM2NZ555Bk8//TRGjhwZ1/20I3S4RlhX5JJLLkF5eTluueUW5OTk4L777kNKyhZxaYqiKJs199xzDy677DIccsgheOKJJzqev68oWyBnn302KisrE3ZcrKysxHvvvQcAndJpSlEUJRmqSymKsrnw7LPPYsKECdhtt90wb9481zrl7WGzjwgjN998M5588knMnj2701uOK4qiKB0nHA7j8ssvx3XXXbdegkpRtkS+/PJLPPvss63eb25uxllnnYWamhoMHToUp5xyyiaYnaIovzdUl1IUZXOAzSc++OAD5Ofnr/M4m32NMCfV1dVoaGhYr5uiKIqirD+NjY1Ys2YNevfuvamnoihdigMOOABvvfUWvF4vxo0bhz333BN5eXm2q9fChQsxZMgQvPzyy9hqq6029XQBxHcuO//881FaWoq9997b1vzrSHdjRVG6LqpLKYrSlVm+fDkGDBiw3uNscYYwRVEURemKrHhsOJojq+Le86QEkBpq3Q5a2bKpjDThpU9L8cGCSvzwaxRF5fWob4whOyMFQ/tk4M+75+OEPxUi4Pdt6qlaPv6hEn/513cJt698Knm7eaXr0BheCtNUG/eeL6sX+k5I/PkqiqIoypaEGsIURVEUZSOw/P48mMbIpp6GoihKKzypWRhwTvmmnoaiKIqibBS0CqIgFoth1apVyM7O1oLOiqJsUowxqK6uRq9eveD1bjHlHBVFURRF2cCoTqMoSlegK+szaggTrFq1Cn379t3U01AURbGsWLECffr02dTTUBRFURRlM0F1GkVRuhJdUZ9RQ5ggOzsbALDPPvvA6/UiFouhubkZsVgsbr/Gxkb7vtxGK6fX64Xf70dqaipSU1Ph8/ng8XhgjIHMRJUeGp/PB6/Xi7S0NPs+9/V4PPY9niMWi8EYY88vXwOImzfPLX/3er1oaGhAc3Mzmpqa7Bx9Ph+am5thjIlrm+z1eu1Pc3Nz3PVzf/4ei8UQjUZRX1+Puro6e06fz2fPwzk4ry2R18oYY8/Lz6Curg5FRUVJP1NF2dzhuqQoiqIoitIe+Owwbtw4+Hy+uGd0idRppJ7C53OPx4O0tDT4fD74/X74fPF1Czke9RM+33u9XqSmpsY91/O11AEAWD2C53bqS01NTfZ9uV3qD7yO5ubmuPd5XXIeznNTF2poaLDvNTU1IRaLoampCVVVVaivr0dNTU3c9bpFtzjnzt+TvU9qamrQ1NRkdR1F2ZLoivqMGsIEXBRpsOFiKherWCyGlJSUOEMZj5WGnbS0NKSmplrDltO4xfNIoQDACg2ncYjn4fFcfJuamuy8vF5v3HY34UNisVicMOOCToOcMSZufikpKXFCkXPieaRgbWpqsgJE3peUlJS4MflaChJ57RIKMX4u/Gz4+SjKloqmNGw5eFICrWqE1TZ68WuF/387AB6s/bzlQ3/MrHVktLwJGLSs017P/9Z7D4fxwLTs8L83xKj/O4fcn8fAEy+j5FxixmDtgGIwY+y5zNp37XkMDExsrQz1eP8nQ/A/2Yr/KShxB7ecKmbM2vERf3qD/8nk5njlTd4D7sdra/lHjCXOJVl7PWv/b5mKgTHxSqSibI4MKfQgKz1etnhSAptoNsqGQD6/p6SkxDmtgbUO9NTUVPvcT4OT1A88Hg/S09PtOFLXcTr35TO9x+OJ02mcxinOge8B8U5+qVdIxzyRxi2p01BP41w4Js9B/cY5ls/nQ2pqaqv7Q52DepjUXdx0O/l7IiOYvFa5byIdSFG2BLrid1sNYS5wQXV6TZy/u3kXnIYt6TlwGqac3gT5nhQmiTwkznM4F1TnfnLB5gLsJJlRSRoDnci5SMHBhV1el9v9kGMQeW9o6KPxLdH8FUVRuiqpoUGory2Je++3cABXvD7IrqspKSk2AhZYu6bW1dXB6/UiJSXF7huLxZCRkYG0tLQ4ZwX34brJyGQJPfxcmzkmnStUHDhmQ0NDK+VEOmk4HwDWqULFqqGhwXq5OVev12sdJom86jxGXi+3NTc3o7GxEdXV1XYfp7PG6RiSTptEigtf8/y85qamJjQ2NqKxUT31yubPc5N82HlA/DOXdq/dMnF7ZgdaRyS56TB87QwIAFoby5w6jdRlEmV8yHPzd665zjVZ4lznExmb3JCyIZHeJLdx/ZeBD27Xksgolui8iqJsetQQ5oLbAtweA5OMdJLHckynIYhKiBMKDSozUtFwCg3nnN0Em6QtoeH2Hj1FTk+SG1RQZEQYx2jrtds94JicgwoSRVG2JJyrmDN9xS3thEgHhDM6mTKHsoQedekdl9toWALWKiNOT76cj/N3RlI758B0FSlbOLaUKU6lRsoPp8HN3jtH5IBzvm5OIPm/6+fhsq0tBUdRFKWrYqNxE0RjJHPyy9dOuSCzQrjmy6wPHu/MNnHTI+TzvVOfkfs6x+bvMrXT7drlPZByM1lgAPeRWS6JdKvOROWMomw81BDmgqz15eZJkYu4W+SXM3SY40lFhQqD0xAkjU4y7ZE4PdpuBjvnwi4NdFJIuSkhciyJHFNeF8OoeQ+amppQX19vFZ9EOfSJosHc7hvHlnNVFEXZIhBrLes1OpUBZ+o50LIO+v3+OAMZjV3cJxaLIS0tzR7L9VUqF5QzMvWD669b3ZZEUWBSQXIqRPIaaKBrbGy0ygVlptyX53I6hKSzpaGhoZVMkjiNYlJmOxUsN2VRGucSRVUoiqJ0Zdye7d2c3s6UQBlhLNd1OZYsUwKsdWJL/UOunW5rabLIL84rURAC5WWya0pkeHM6kJyGODqHqNM4y724GQzXx4hljEF9fb0awhRlI6KGsCS4PVTLgo1uobrSyy6VAedDtxQEUvEhXHDdQoTl8XKbVJrcPDxuc5bb3RQEpxCT+zuhckLFKtF+beEWmi2Nk1pEUlGULQnpEGEdROmtBlqvpaxnwvouUknhQzwQLyMSefplCqDTYy/flwYyji3XY2fNFHleGaXmRDqSpAEwUUSXM1XF7f44cVOk3CLE3NJmnNEJiqIomxvSWSDLjcjtbvh8vjhnhdO57+YsceLUb9oyfslx3Yxn0nEi5Yy8Run8kDIl0VrujHymPtPY2Bgnh91kidvvieSK23UqirJpUEOYC3JRlemLTU1NbT5sy1QTtxRJvqYCIbsoOh/O6Y0H4oVIIsEgPRnOKDI345JTYLgpHW4edInctraGSmNChae9OCPlGF2mAkNRlC0NZ0MR1tRyGogkHk9LIeL09HTrsHBbc2WHX2cnYCmL3CKJEzl8AMQdR5wGNJ6H/0uDnVSc3OQbX8v/eT1uThfnflJRckaFJSJZZLTKHkVRNmekruHM6JD7yNfMJElWJB9oWZelfJERYlzf3cq8yNeJnBVuEWGJHETOyF/nei6DDCTO+VCnqa+vt/UxeT1yfzed0O09pyx17qOOFkXZNKghzAXnA7Tsouj0kEvkwu18oHYadqTBSoba0thGw4/TC+E8p9NjkmwxlYYtZ7oHr1GGNbt5weU8pPBqampCXV0d6uvr4+rM8ByyaGYyY6Kb8OLvzutbl2gzRVGUrgaNVHSepKSkwO/3222J0vLcorSA+AgsAHFOF2eDFrmvMQaNjY2uykciT38yOQesTcl3pvpTnno8njhjnds1ytfGtKSPMCJMOouk8pUo+s1pFHNTTmSBfkVRlM0ZZyof5QXXYGNMK6cGkDzaib87HSFyfZe6DLcTp0Pf6fRvbySuUy5xDs5rljqEM6tEOoLo4KFOwxR+nicWiyXsGtlW0EBbDdAURdn4qCHMhbas+W7bE9XCkmM6vfpuC71crDmu8/xtzT2Z0pRI0ZBKhDSUJfJgOL0ssr2wUzAlui/JjGLOMZxCsi2DmqIoyuaE06HhNFrJtVsazZzrN6OSm5qaXOssuqUvOlNmpCEokTEsmVGMckgqC9LgJbc7r9Ptet2MYc4USunkcc4xmYLinHsiWavyRlGUzRG3KC65diY6Bkj8/O6m0wDuNZTl+/L4tnSaRDqL3M6C/fxdbpNGOLktUf1n53XIIvlu17QuOI1gTnkjnVKKomx41BDmgtMQxIgnuR2IX9gpFFhU0hl9BcAW/ZULHD0PMuyYY0sFgkqDcyGWD+/JFnee01nYkts4vrMdsttrt7EZSSCL5EslxK3jWaKxeL3O4slOVDFRFGVLgV5qZ80tANYLTaQhTMoPWdRYRv3y/8bGRpvu7/P5rHGMHm63TsVAa293slqNPC+3O0sEcC1nGo3cLvdjrTRev/N/p9Ijz+80hkk5mixiWo7tNLApiqJszkgjjIzekkYtuW469RLns7187dZAheM4nTsej8c1LdONtgxDlDXONdqZjcK5yPuQCI5JnUY6dTiOU49qj24jjV5uDhePp6XcAQ1wiqJseNQQ5gLz4ZO143VCocFjuZ9zoXSryUXPAxUUGqScIbzcxkXf2ZWroaEBAFyVGP4vI8+k4uNmHEsWAcf3achjqopT2Mn/nW2VnffSGWLsjGiQOLvXKIqibI7QgOUWHQysjeTiQz1rUMrixU5DmdfrRWpqaqtzyehdnoPrciwWQ0NDAzweD9LS0uzvnI9cv6WXXELvvLMwsqy16ZyLmwxwkzlUDpxeejmuWzcvNw+83JboPeecNApZUZTNEanTOI1gQHwdLvkMz7T2ZFFhXBOlfJDdhp1rutP4JnUaAHH6k1MHco4p13Y5pnNu8trcHOsyOq25uRkNDQ2oq6tDQ0ODnZuscelmCFvfCK5ksk9RlA2HGsJckItce0JoncfK/wH3cFopBOR+crvsyJLIo+GMupKRYYnSSQDELehu82iPR5zCVHZVkVFwUnBsCGTUg6IoyuaKjH5yo71rnFvBfDeHgVNZkIoLFRqno0UeK9f3RKkxMp1ERqy5GZ44FzclR9YPc8oaeQ3O153NhhxbURRlQ9FefcZpaEq2XyInv5szQhq8ZMqim2PcqX9JY1giPcQ5DzcjlVMuOa+Z+9C57xYNJufmptNxvGTvtYXKGEXZuKghzAXpAaeH21m4vi3kQunmGZFGIjcvgzOE2U2Z4dx4DPeRSkIiL4j00jNygPs5vf1uxiYKjMbGRjQ0NKC+vj4uLdJ5XU6SFTNuD+qdVxRlS4FGp0SdiWWah/wdiF8LZaojEC9rnA/lMkrXmdbujOCV8oDbuC9JFGFA2eT1ehEIBGzkMP+X0QBUfGRRY6mcNDU12Q5ecq5ucnNdjGOJosXU2aIoyuaKXPOBtQ4Tp07jlv3i1D+ca6wzYtapyzhLvLgdz21SxnFtp3PGLTLMzcHv8bSkF8r33aLAeB9klDSjwZw6De+RU964kci4l0iGuEUgq26jKBsPNYS5wHBgAK2UE7kYAmsXa9ZmkQueW/SWXPTlvvKczkU+0SIOwHZoTGSoS7T4ynkHAgF7HoYCu+H0mjQ2NqKurs6GEDsFoxSCbnUF5O+JcF43r1NTIxVF2SIQhiIgvvMW00ScdcCkkUoeKx+q+Z5MMff5fEhNTbWGLKB1Kj2NT0zXb5ni2iYs0nDlZihzIpWpQCBg5QcNWm61xOSx0gBGgx3PTSVGygOnzEumVCRS0OS29oyjKIrSVXFmZrg5ouUaytfO4+R6yd+JNK5Rn3HqNM7XRP7uVhtL6lJua7W8Jp/PF9dxmen+/8/emzU3liTp2Q6Q2MEls7ZepmfGbKRL/QD9/3td6EpmGmmk0dczXV1ZmUwSO0ngu8h5As9xBphZ3dVVucRrBiMJnCVOINPfcPfXPXw83JFVYATANptNbLfbToDtr02I5GBYrqDJz9rQ0PDL4G9Ts/aJIxvbWja9Ftz5KSWApxpO1urPs9H2NU4Fyt4XDHO2xtn/nEWvGWUyJxAH29jX7l2bp9oxGacIJ59X6zvW0NDQ8OngyCmn7Fmt12I+7rnF+vuCPFkBZsVWRHQcmtxv5TnUFvmZM90bs5ZNJzAI75wq+6+991PRlF8NDQ2fG7I9POXTZB/A7//UFidZEZbvccp3eR+3eNzZR+NlLsvihZr6zfxyf3//xKf5qTilsPMzPndu82kaGn45tEBYBRjDTBA4GryX1U412Wz+OzsBubQxN8y3ATdpmJjIipsYMqnlAJodEGf98zjy/V0+SR19ztKfIr9MRKdkxu9zYhjj+fl5jMfjoppoaGho+NSwf6wnXRyIqvGEuaJzvdQ/yz8jutvK8/5wOIzBYBCDwaBk/Ak6UT5fc0CA+QTkRsvwVG50b+600trKA3a8ZExcz8/0IQ5VVhbwOsU55tGfmuxqaGho+BiA/cy20D4N7+UEeS05b+Q1f01tVvMtIp5uynUq4ZKvVRvDh9y/lmiBl/BlUB6bf2v3y8gclvky89UptCBYQ8MvixZBqICyRSS1GFeXM/b7/RiNRp2sAcGZmqQYCSzH1T6nxAOcMrZ8ZsNey45Q3pKDYNk5YsfH3NOFYw6HQyFR79p1f3/fqaOvEc6pIFhtvk8RgMshcyDQO6c1NDQ0fGo4HA6xWCxiOByWlz87Pz+P4XDY2RV4Mpk8UfPiPOQki0v33ROl1vclq8RcosmuY87oDwaDTjAply1GvLPvBNI2m00JaLFjcVbBUWbPtRyUyzubca/3OQ81RVztb8+jHZjMb0051tDQ8CnhcDgUn6YW3CJIxXqc9+AY8wzwdcw33K+2eYthO8y5jMFcQjKG90/ZYDgNn8YbjmUVnJMyrnCBo+yXZKEDz57hJE0uw6w9N+c893lDQ8PfFi0QVkHORkd0t/ytGcJsML0FMJ/nc4Cz2e4Pw7Vyk0gv2mkimTMgeUyG38uZdmeIcqAOg+1SlTxeX/99ASqrAv5SPLe1c0NDQ8PHDttiNwx2AoAglBfMObtOUMmL/tqC2iUpDla9D27oz7i94PdP35cgXER0Mu3P3dMlkA6A1ebulP3PKrja2PLnH4IWCGtoaPjUkBW2fv/U7w4A2c7iJ2SOcaDJ9/qQEsHsr2T/Ktvu2lhzxUreYCYnaPjJi3NqrWY+JOGS4XHnZ/0parOGhoa/HVogrAIcDO9q5QaOtUCPs+smDSuZcmAJA+lyD47LRv5U2SONj63oqklxc8kJYyKgxbG1MkPu7wyKiaZWepKJMwfZfPyprJEdxBr8/A0NDQ2fInr9XlGBofqKeGeL2aglZ95RDw8Gg85C/5Tyluw2tt5Zf7jAfGR+wm6Tkef+XMM8mR0sl94fDofYbredREvmNcaae4Llcs/84vqnFF7PIXPlqVLJv9QZamhoaPg1QbVKttVwBsl0r9GzOhicUuLaZjqJka/F3zV7HRGlygP7bzxnk+3T5EqYmj33TsTud+xza0qwvwa5PPI5nmloaPhl0AJhFXi3E8twbdj9ey6JrBn9Wl28nRGOY6cuZxKy1DjLfDk335OXdwjjsxwI430TosdKJj+XRros0iWfjMdBqlMlmkYOep1S0DEXdgQbGhoaPjX0er0YjUadbHbOtvs9JxlqWXJssRMYqMVqvbwcBONznAFfzwpeZ7mx8TX7TgsBSlXYwfKUioDdJHMSKjsn2QGqBcP4u3ZORHQCfp7H3AbBY3QgsqGhoeFTAJxBOXpWhzkJwe8oeXPiP/st2T+pJWEyaknuU729uHZ+Hr9vu0wgLN8LmFeyX8PftQCe5+C5skifVwt21QJfp4KCDQ0Nf3u0CMIJ1FRfGc9lqJ971ZRh+bo1yTA41UTyfc+SkRVhtbFERIdc/HJWyY7CX4KaHPl9x0f89N06GxoaGj4unC5drzkMNQVsDgrlPmERx6BZ5oPnzjFOlbFkbntfkiarBbh25iGcldpOkbVr1/re1Mb73DVqv+d7NL5paGj41JBt4HM23nbOx+dzcgn+KX/m1Hjy58/5IR/i71gscKo6xol0/Bo45tSmY77nz23/T3FSC4g1NPwyaIqwE3Bm/lR2eL/fFxmvHQAbsZxJ9/Wzsc2fZyNsw8i4slF2dqFGJs4GOfh0SgqcnZasDsvjzOM3amPl2BqsSKidFxGtWX5DQ8OnjcOhlERSgsiCnB6QNLevlT5aiYxSyQ3oCSpxjV6v1wmmoTC2ohcVMcdmLnJZo+9jrkNd7Ib6fBZx7GnGuK1O5louj6ypszJq4zInZy7jvVNOYi7n93yc4q2GhoaGjxG2s9jxnJA4tXO9uce23P5Qza85Zae5vzdFqfkMeXz8zFU6PN+pEn2P0/Ow3+87u0V6Q5jnEiu1ZwLmmIznkjEcf3Z2FsPhMLbb7ZNjGxoafl60QFgFH5r1zYEvHAgHtRyscgN9Zy5ALZhkZIPuaz2HWnbklPqKnjQRURyyvHsXgTATxnP39rP5eM9R7VlwkByU87UIRA4Gg86uag0NDQ2fDCpJFuCFse1/jQscpDHXOCjFcbm0pLYhi3cKy4Ef80hO5LinlwNNDrD5GLchYHdiruONXGrKA3PGKSeMOajNq+fu1Pu+vue9BcIaGho+FXyIwij7NKcCQNhs28L3VbKcGlPmNV/jlG/wPvvP3xFR2s24vyVJfLiIIJhLKo2ayi0/nznkufL5zPWngmWt93FDwy+DFgj7ANQWw/6s9hOj6yxK7uvyXGYgv1cjpw8JgvmaNZLIQTXG7iy9lXHO1J9yJgyy/rVjHBCrBeaYp1PN9MHZ2VkMBoMWCGtoaPgkYRtnrgE5iFVzGmoKqIgoSrC8MD/lpPgeuVckyE5ITghltTELezsatdLIvBOxfz/ldOQxneJkI8/bcwGw/L6v24JhDQ0NHztQtubk+/vsF/bO6/hsh91TsWYTa0opXzurk2tBp+fGmRW+p85lDjLP5PJIj+/UdZ/Dh/LCc8e1hEtDwy+HFgiroLbjSSYROwnOnnN+LYBDph6jSvY7N4zkZXUW16w1uTfsoGSS8r2y6s2qLzIju90uDodDIQmu690isxKuhlNOHOOtHfscGDvnnp+fx2g0itVq1UijoaHh04IW62SusdXwitVXw+GwwzWZp95d8hDD4bCT0OAYgD12A+B+vx/D4bAzBpoI1xI45kPKaBgnvHF/f1929/UOzFYY+3gSL74+96glkHIwzu9nnjFv1Z4jJ7xq/MS8tYb5DQ0NnwJq7V1O9V3kc9qO5OR+Xs+jPt7tdtXret1vZbIDPZxTS7DXAmE1DqB6hA0BeN+Je8bgwJd9Hj/jc8l388epQF8+LgfUTs29/aqGhoa/PVogrAI7Brmh/OPjY9mpkACQy0fyAtvBMK7jc3A0Irq7rlD2x7VwDjDgoJYRN3BQ+My/87mzRRHxZIHvOXBQ7JRj8lwwq6buOlWmmeexBmTIo9GoZU8aGho+PfSiwwd+5VJH9/IysIMEyOAqAmc5IHZ/f99J3pyfnxfHZ7PZlAAVtr7WoyvDjs39/X0ZBw4S4zMH1LiMJFCt7JLjTqm87HT4ejVnJDspVqE9pxgzp7ZgWENDw6cC2zLzjBPwuedxRHeXxrwux04TgPJ7EUcb74S5fR/v0lhTHp96DosNfE8LALiGS/GzP2Oeyz7NX+LjMC+1Mfu5nguENTQ0/HJogbATqAVhTkl+a43yTy3UWTw7e36qvKOWtc4ZE2ewnyMNflpJZdJwEC5f1+SW758VBvk9z1Ets1TL/NfmrXYviPDs7Kw4ig0NDQ2fFroliLa3OTuclbfe4p7PI45Ng8mQE+QiQMUxnOtNXyKiOCm5fJGfNVVVzpJbyZYbEOfAFtcjUJaVbrVgVI1va4GwDy1Tyfeo3a8WXGtoaGj42JF9Cfilpt6q9Z889bdt4ilwn1qPY/sUz9lg/57LMbMvVWuy73s5GFgriXxfIOw5POeHvU+4wPu+fwuMNTT8bdGiBydgI593rbLRxhFxcMcZ+xxcotzRijIbcWcnHKDCsXEGmvvWFvynFFS1enyPmXJIK9UAKoFcXmkpcc4g+VkzUXqHMBMTqJEm1+S6NMJEEdbQ0NDwKaH/HzxCdhy7+PDwEP1+vyiQcxAMmzoYDCKiG9jifI4jUWDV2Xa7LbaXbD5Z8oeHh7Jj1fn5eSlrrLUHwGafnZ11Am2UQ+52u3JNrmWV237/rlkxwTien5+ZU3gvJ3iyc/Zckoj3cpKl5uD5c0DArlbK09DQ0PAxIbdcyWtvB5Bqa3V8BPij5tOYp5w4z2t67mU1Fveo2e2aL2M/6Pz8/InSy36JedHXpCRys9kUXsuihixwyJuh1fyTU8iBRyvZTgXFRqNRmaeGhoa/DVogrAIb+udQy4pzvpVQWV0V8XTXFYxidlg4L983Xy+ThQkuOxDc11Jh4PubNGrNJDkuv7IK7Dkn4zmy8zzWzjVR9fv9mEwmsd1uG2k0NDR8MjjE0VbbQcFGk4BgEQ7veOFvVWzuiRLxVP1LAM09yPI29rnXihW9/t1ck7mw13tXmkkSh+CeA2G8Z64xt+aA1Sk1mO/5IeqH51TUXCd/XlMKtEBYQ0PDxwwrbPk7q7Bcjh9R77EY0S2TzL6IG+oTOOIc28qsrLX611yUn+GUcixzm+29q0XMJ7n3sY+p+TSnEjHPoSZSyDiVfImI6iY3DQ0NPy9aIOwDgYHKWfkc6DG8UM6lLnYmcgCJ+9UUaGTMs/rr1CK/JrPN48wkUNsdJl8vZ9L9+3PzUfv9L4Gl0WA0GhWnsaGhoeGTwKFu73O5JDiVha6Vg0R0G8RzHA4C3OOEipMLtQW8j+FvzrfTYc7knN1u18mq5wy8n9HBsVOOxKmAmJXPKAJOXeNDuKzGe05gNTQ0NHzMeJ8N5ZhTyQWQbR7rcOxsTl772ua4mt1+Tsn7vj6VNT6qBbh8PftltWd9X8DLAb5TfcH+En7IPNPQ0PC3QwuEVVArQfHvtYU7TgVlKLWAmbMPOARIifkd6XJElyyGw2F5L+KpET/Vayz3mckLege4fG7Eu9IW1+ETJKuRS+5h4+bOhktGne1wFsrXNmpE7meZTCZxf38f6/X6yXENDQ0NHyV60Qkk2V4D2+jcON/cEdHd3CTiuBi3bYYLXIrPdVCCnVJD5V0sORbFMGOpqYe5J7AKwefxbOzmVZ22lKk/Nd7cxNn3zufUkk95/KBWQtTQ0NDwsSErr7CzVmxF1Pv7enOvXMGSN1OBu3xORHT8FHyG3Ne3ptDN9jpzSvYnskIt+0Y+3u/53Cxu8PPU5tXzhk+TE/Wen1OJnVrAq/WibGj426MFwirIQZ+cJbfD4N4t/syk4cx4xNG44zg8PDyUMhXIwaRi5+Xs7Kzs6kVwzePmXL9fK5t87mdEdIiOGnU3T/YcmQQ81nxcng/fJz/DczilUiAA2dDQ0PCpoBfv+qvQfzEnVBzwwsbyE96IOAZmahnxrNrihT12HxV6vbj3SnZSaqUuVj47WcQxLr3knk66RLwrk9ztdk+Cedmu5yAY79V+zw5UDujVePCUgswOkrn/udKXhoaGhl8T5hRK0f0+9hUfxDbSpey1xEDN18B2e00OP5jDsqKqZqvNYVwn3y8iOkKDHARz8CnvFumEURY62I/LKuGcBMnjdjDMfs77+MJ+HN/BcDiM3W538pyGhoa/HC0QdgKQAw4C79kpccCHz2vG1Of6ejU57ansthvwcw0I7bnSD7/nbYw/JCuBagDSyNLkHPBzEKw2Lz+nzNfzbAfPmw80NDQ0fPToHcsHHUiCa87Pz2MwGDxxQmzvsm319SK6DkrOyOdgloNvJEBO7RbsjLd/ch3eM3dYPZavQVP9fE5+vpylN5e+z0HJPzMP817m1Hx/O3PPlW82NDQ0/NpwibqrQ1yinpvBP1e+Xkt25HU3PkpNzcW9UKrRGzKjlnDJil2O8SsHzhxsg2dyct/P6uevVQmd8mXMB6cCYOaY5z7jGufn53F/f984pqHhb4AWCDsBSINMtUmjlh0A2THIhpDgmrMokA4ZCo73Tog5c8OuXnmLe98zZ1hyIK2W4bdKYLPZxHa7jc1mE7vdrowtS5rtWLlUh3kz4dXm6rnAVa30xMe6lGa/38d4PI6rq6u4ublppNHQ0PAJoNuQt1YSyYKY94ycXMllIJRqOPj1+PgYy+Wy8NB4PD6O5j/GQjn+breLzWZT5Zrz8/NyfZRcXINro0LIKjCrnMnS73a7wjVWRPM8fqFq47k/pKkwTletDMdOXU0lnY9lTuHk1tS4oaHhY4T5Bd+mlhSwXctJACdRzEm1IJgTDJvNpryfEzqugtntdk98IF8P1JRjwHyZExdw1GazKb4N96sFtswz5mUneTwm+zHMy6lm/PmZTgXVuF6rdGlo+NuhBcIqcGYcmATyTiicwzEuYXFgzHLknCEHOAzcn6CSDftgMOhk7vv9fiebkp0ml6LUwHjOzs46/ckgjExONvo4PN5hrJZl8ljyvU2u+fMc9OKn55p5I0hHALEFwhoaGj4F2JY5M5zL72tBGje93+12hSuyWsmlFhFRNhbxrpOZ21we6ZJF7O/9/X3HYeAYO0gOkEV01WOM/f7+Pna7XSdL70BYdh5QKvP8LumB6/g8J698/ee+D86tqQzML3nXzYaGhoaPCVYo+T2Qe4CBWrLcSQ4Hz3IQygEybKf9ApdJwh+Hw6GUAGae87q/pvbKKrAcXHp8fIztdlsCbrnKxT5cDrxx/5ysckAuBxSzT5XxvkBY5ieSTq3apaHh50ULhFXgbHStmWRNKpxluSaVWjAnOzUA2W7E0WHJ2RiXZ9YyGR57rqGvgWv4c5wk19LXxs29TAYPDw+dfmHutWbi8Rxmsqhl6x1MNBE5y9Xv90uPm0YYDQ0NHz+e5wsrbMsZKbBlXjFPZMfB5zoQRjDMiRsnfuhFlvvBoJp2k38+83GnOArkUpVaIMzcw2fmGqu3PT7ztJsi5znx/Hn+7WTVSl2eK5NpaGho+LVhe2quALX3QF6v5+PcQqaW3Idr9vvuBi58hg3NpZtWU9nO5uCX7fNza/79fl8CYdvttqNOzuOtBccYt3ky+z7ml9xapwYnXJ4L4kUcN8lpfk1Dw8+LFgirgGwyDga7J9ayIDZkEcdA1mg0Ktl8G0gbbHqveBctOzzejhgHwUSGg+IMeA7gRXSz53lRb0NuAqL00iUxuWSH5wU8lzMmDtad6hkTcTTydnZqfWmyk2gCpx/BYDCI6XQa2+02ttvtB3/vDQ0NDb80DvunC33b84in5RjYdMrBh8Nhx+GI6NpS1FZwjW05SjJ+52fu7zIej4s932w2Hd7gPDiLfiZ2wADXI1uOg1Lr2ZIdlOwscAzZciuxneDh+MfHxxgMBjEYDMr9amqumrPl+eK+TjjlQGFDQ0PDxwD8DVSztZ10cxWLfQVv6AVsI7Pf8vDw8CSYk5PtOWmDPSWhsd/vOzziJvuU2+NDcbyvbZuNn+Uql6zk8nPBCTlwaJvvseOjGTmxlAN12Z95H7KwoaGh4edBC4RVkCWuIEfta+cAZ1EcJPMCnvNcvlLL3OegkwNZzoLnEhg/Q61UMgfAfLyN9KkMxXMgcIiDlXvf5LmqZUYw/HmuOc5zkgl1PB4XB6uhoaHhY4aVX3mxDGoLdydWsLHPcQBOQ+5dwjVc5p4VuHnhn7PwWTnAPXI/TI53r0kH8FxWmZ/X9/G84IRYIWw4KOhd00hQ1dRmnPc+zmdOnuOrhoaGho8BXuPzd0Q8sXv5M9t3+xGnrl1TW9US6jmghroYpXI+pyZEqPFM/t02/lQQ7BRycIzr+v4eX06IWJFc8/U8vhzEy9doaGj4edECYRVkQ5sDQacCQ7VATw5C+Xq595cX4dkY2oFwpsLZE7Ij2ZHKjgX34vNa+UztOX4KGA+ZEhOcr3nKaTBRZ8I9FVDzfI5Go7bdcENDw8eP3lE564DTh5RUWD1Gb0Qv+DmWgA/BMKukuI6DWgTFsnPkHinZ0eH6p1Rc/M1xznDbxj/33HbG8j0cDPO9jJqizBxp/sxJK899dh7ht1M7nzU0NDT8WrCts/16roXIKaVULbHia+XkTc2O1hS3TiiY17hO7Vny9Xxfjws4AZSDfTWcqoJx0ibPWR4L84JiOJfX+/r5fHN5LcjY0NDw16MFwioYDocxHo+flDu+Dxg7lwBaNowcF2Ocy0Y4NmccMmmZbNwfhYW4VVDIi7PDQZaFe/J89/f3xdBSbuJsy4cYYB/j5slZGpyfr4bcv8xjyWo97yA2Go065Z2NOBoaGj5GnPXPyq6N8IMTKLm8vqbkPRwOpXF9RHTK7b2Qdjli7jGZs9v9fr9c02UpJF/Y5ZFzGLv7fJ1q7rvf72O1WlXno6Zq87hy5txz4JIcc7Z7VnoMviefu4myVdbZ6ckBM+YrX7uhoaHh18RwOOzsQh/xNMFs1IJT2U+xbcwJD3yKHMDJ4D3W9LbT5it8Gt8HbrFP5c/56U1e4My/ZhdG8xrBrRysylzteeE8z38OfmVFHdfBz1sul82naWj4mdACYRUQVLExszGywbVBdWDHxziLnoNgOXPvrLt3n4x4PtPd6/ViMpnEfr+P0WhUjqc3TK0xpAkj17A7SOfduGrkSWAOVZl3P/N5WS58KquSwZzkbNOp47je+fl5jMfj2G63jTQaGho+SvR6vdLjy/aXBEDmB+AFPcdjq3FEzF1WeNnB8c5d/r2WdHHA6PHxMUajUbk2vVesLstKMyP3rcwq4FMqsVrGvKZeMMjEO2jGfXyt2jyf+s5OKcNqDlBDQ0PDr4WaT2Mb5UBRTozYp4EPrF5GKFDzlbJP4/OA7X8OJlH14l7I9PvKwbicLOeZ3AcyB9yyIi0jl2V6zBFPNyDztd7HARZa1Pirpv76EG5qaGj4aWiBsAowwt46HkOa1UkR3Rr0vDjOEtxa9qImpeX+NdJwKaNVAzhB3AvnhGCYUcueEDhjTBAn44FIXCefCQx4bDghniufe4owfE2Xqfoeef4trT47e6e0uL29rV6/oaGh4dcGit6soIJzbPO9OHYgzEmXiChJFxRSXNfqJngOrrEKzeAcnBEfxzUJgNH03vySnSOu6eO8C7KDVNkpy+M69Z5VC+C5REqNS/jp78Pfmb8LfnrXsIaGhoaPAfZpsIP2abKNy3bSCYSaT+OAUq0hvpMu+Xr+mQNoTsJHROk7zCZenOPzCX7Bp+Ykrp03C3hfkh3kcWZl2Ycm9/PcmDNqQcHauY1nGhp+HrRAWAUYTwJBg8Gg01sl9wFxmYlLR3AMHAhioYxKy7tBQlY5kGZHI6vJ3AdrOBzG+fl5jEajmM1mRUZ7eXkZt7e38e///u+xXC7LORCWd+siaOZA0nA4jMlkUu5NqWFthywTgEmhpqDLQa5alqhm7E8RiNUREVENJDY0NDR8THj4D145Pz8vO3N5R0M7GC4BPzs7KyXgJD0ijkmR0WgU/X6/bBlPyR9c5cQJuyTDTRFH+wwv2N6fn5+Xe0wmk8KPNzc3sVwu44cffoj1el1KBblmLmfhmmT9h8NhRES1xPCUQxDRLR9xoJDP/D7IgTnGmYNpudXBKYUeDlYtCNfQ0NDwawGfxkl2/A23Q8nB/oijEhjAI7nM8P7+vtPg3uv0nDiPeKoIru0SD8+wEzxjmU6nsVgs4vvvv4/lchnb7bYTBPOLQBhBv9FoFOfn5zEcDss5+FcfOpdu2eKkEKjZfvNPnuvcDiD/zIKByWTypA1OQ0PDX4YWCKsAw27lU5b4OgtRC+TkBXo2bPzuBbyNYQ405bJFvxwUOz8/j81mE4+Pj6XXGYqD0WhUHAyUXx6LScwZGBoxI1OmFxnE9z4CcfbExME8nZIfP1cOU/udOcSRZD6n02lst9tGGg0NDR8dehFFuWVFEvayphrmmIgub9T6J9q2u28LCRuOf3x8LI5R5qm8sIcHz8/Pi4PlvjBk/wnwAfNVLmvhWRlXr9erNp8/9bcz6bUxc//qd5CU1DVVmo89xXlZldyy9g0NDb82XFFhpRHBJpfR186LeLrWzrbUdtfBolwu7rL7rBy2n+NEBGMkgBXxzp8YDoclCEYSx/ezMgxbDg+SKEfw4CRNfv5a5Qrz+FMSHs8pnLnmc+dxz5bgb2j4+dACYRWwqK9F7f3TTsepQFhEN/pfk/G61DIHiXyOX1Zw5Wx4v9+PzWYTw+Ew5vN5DIfD6Pf7ZSdF7ult5E0CJieX1oxGoxgMBjGZTGK32xWJcu4vcMpA4xTViKYWDMsZ/Q9Fvv98Po9er9cCYQ0NDR8dCPi4h5V/1uyfs9Acg6PDe3Yo7BSg/sIZsIKK0hMrePmdJEp2pgh6EcBCYWD1mhMrvoYDYYyL5E1NXQw/ZdV0hhUJwE5EBkouBxNrWfn8vWXOz45bQ0NDw68Nl53nkvNaa5f3BVvMN34P3wI76utYQOCSSv90lYx5pt/vx2q1isFgEOPxuHANSmL4yffgp32brOJy1U+u0qlxSMaHllQCJ7hq83fqnDz3LRDW0PDzoQXCKqDJOk4ChjjvgIVRAxhFB4XIXvA5xrnmJPC770PWIstuvWh3xoNrbTabODs7i7dv35bSFcaXG/A7a5IVXizmKYc8HA5FaTYcDotDleXShrMsOHzOsjgYFlHfkjj/XnNmfC1nuabTaRwOh9IvrWXpGxoaPhb0+r1S1o5du7+/LzbVAScrks03vd67zVLseLifI4t9/rbyCSVYxNNeMC6bsUPhIBt84uBULk/BwbCTkZXS3mGYkpjxeFxVjTk4ZX5wuY1/lrmWA+iAmrkDxyqruavfXXpuf08ub21oaGj4tdDv98t63Sotl6fXgl9ZbRsRHZ8mJ+FdJsl9zR3mMicczAm28z7GY2cHzFoZv9XP9ml4FquWh8Nh8Wew+7Sz4dq1BL8TM6f6gZ0KVNk/gb+d0Mo+Zk7E8Pf5+XnMZrNYrVaNYxoa/gq0QFgFJoRcfuIFtJs/1sgjwyUTBITYRtf3ztfKn/PTJHUqk+2xWhrt6+dXhsfb6/Vit9tVt6Pn/s+VOdbIIWdeTArPnZvnyg5i3r4Yp+qn9AJoaGho+FujF71OMMkcYRvozDrv+WfnmlInuY+LeS3b3LzorvW5cnDIyuaMbGOz2vg5JRdOlMfLWHI/lhoHnHIcauOzOiHPSU0NUOPmGiczFhJFDQ0NDb8WSKBknyYrmrLv4wAY8HsOqrmSxn5BjZ9yQ/18fSvEeO9Uoj0HuswvOeHie9incT9h987MfBjR9U9OBQ4/FJ6/PB/Mv7+n2txn3mloaPhpaIGwCnKGO6K+KMYo1xonAqucsnPiY085FRj0Wr19zQBnSS/lk2TZT10/OyfZSfJifrPZlIy9VXOnHI9auWdutJ+3t7fTkx0bjy+Ttj/HoXx8fIzBYBCz2SyWy+VPqulvaGho+FvDC2rKPrxA9q6KuXmxbWpW/rJwZsOX5xbutd2+IuqcdCrpkXus+P33cQ28hjLs4eGhlPVbLVdTYPG3X6cy7KdQ293YzlUuITK358AeDlVzUBoaGn5tsFa2va7xAfzyXBLBa3PbX5+bOSYn3znX48u2OXOGE91wXLbx2Q+qXYPjrMjq9Y6q7Fwx46QLz3mqbLL2nDXkAFctmeNjcquDLHBoaGj4y9ECYRU4wGW5LoYtOygEhJyBiOgarFxWmXdaqZUF2jnI5SveOSziKAm2UcRZ8Q5fXJdSRxNGTeZrRyAH1Whc2e/3SwkLZZIuQbR6LqsYaiR5ygHjPOaT5zch2PngmP1+33EEGxoaGj4WUBr5+PhYbGfEUcVqTmGnyFqZILCq6nB4V8rOop9yEa6FrfVOlSh+se04C95EJpdnRnSdLdvaU+WKtUQQ1yfYdjgcOv3MbO8JlnmjgZzN93UY4/scB/Mg98nP6ufNjfHhYriIctCGhoaGXwMuK8xtUJw0iTjatVwibuTAE/fgfKu0sso2+xtO7Njvwvb6/k5+43s50OVSz1rADfj4iO6uxuzczLVd1g9q5ZKngmAOwJ3iAZ45c3lW3GUOPRwOMR6P2w6SDQ1/BVogrIJTiqvcm4T3bexrRpeAVjZiEUcHxPfwZyYcj8nBs1NZGxNSxDulQa/Xi/v7+1iv1z8pk+D7mxBMYlZgMUYcGc8F5JcDd+9DDhbyfHl3MhO+ibXf78dkMomIKM5mQ0NDw8eCs7Ozjm1ySUZ+L3OCHZGcEc9lFLkvTI3XCDBFRHEwnFzIyi7GgBPFuff3909aANQW/P6M659KXNQy8U4WZecrl5Vk8Jl7v0R0Ny0w3+YMfo2L4Z62g2RDQ8OvjWx/sEkOMmVVay7bs13MCX+fx/tZ8VSz27a59rFqCR7exy67BDNXlJzy2WpzYJ+GABjjzn5Y5rucCMq+Y+1Z8vN47k7xhJViHkdW9TU0NPw0tEBYBTUDfiorbON9Kkvg6zmAxbG1vif9fv9J+SAG29esbfnra0VE2fGR1263i/V6Hev1+olxPQWPzaWSzsCzwYANPIo3SIqsvlV0OYPj5z31u+cNB8g1/y6X8fdxcXER/X6/BcIaGho+DhyONoxAGDY9l9HnRbPLNey4WIlk5+Xs7KyjQraKyspdbLd5BO6xYisHjmg+jAK313vXU5J7lkeuBKVq5TjmO/dxyXxg/rL9j4gnSZdadj7zvZ0xc012Hv15drqsWsib0DQ0NDT8UsBm5QB/9h1cKmgbndWvvId9zrbP9tA2MttHeMZjrO1g73vYvuNHkHyxgjkH1U4Fwjgu+zRO2NvXsGLY43GyKftuvl/+uzYn+ViP/zlfqKGh4aejBcIqqGVCeL9mtMicO/jiRXtEvU8WYBcWygpxMmz4HERztiPvkJIdlIhjqUyv14urq6uYTCbx1VdfleNXq1WnxPLUOPmcgBPjGAwGnR1pRqNRIbccqNvv9yWLA+Hk7YRrDkONIExIOJK5vNMbGhwOh1LCuV6vY7vdNuekoaHhV4d3svJGH15cY49dxoES1orkXq9Xgi/Yauww5Y6ognM2HO4iiObPsON550d44PHxsZTO39/fx2QyifPz85jP5+UcOw0RT5XVtQAX3EGAcDgclnlxMsXjfXh46JTLD4fDJzzk+2RFd3YEc/LKY83OTHZKBoNB4fXGNw0NDb8GrHi1vasFdghQOWCWOcZcwXvmGWwhbVJOqaLgIKuNazs/4q/gzwwGgzgcDjGbzWI4HMbLly/L9Var1Qe3QjHXPjw8lB7IJHX6/Xe7VCJ22G63hWeYO/ygiKNKzEl+fwfc0+qxmnLN/ldNreffz87OYjqdxmazOVl+2dDQUEcLhFWQVV0R7wJZeatewwbPZJOlu150Ywjpf8J18iKbnzlj4p+5r4oNK+NZLpcxHo8jImI0GsVkMomHh4dYLpdlvKdUWR43f3Nv3hsMBiUrQz+y/f64HTF/cw7zgyG303MKOTNyKhgGPM8Rx55u7CB5KnPT0NDQ8EsiK41QhIHczN5JiYhjabqz8LX+K1zf759aZOfMvINNVhl4LP1+P9brdXEMSJR4rJkLc+af69vWwxsPDw+FZ1Ag877Ha15hfggKmhNqfJ/n4dRnp/jSDqOVFI1vGhoafmlkG1dTHfmzrMKykixfy3YOXjrVU/lUMMz9Lmt+ja9pG7parQq/DIfDsq4fDAYdn+N98PjMZxY0wGe5RQABwMy18LcrXhz8yn/n+cnCi1O/89NrhYaGhg9HC4RVkB2GnKWOqGeyMbjO1OfrWtJbK7V8rgkyn1GyQiallpm3s2JyYvfEr776Ki4vL6Pf78diseg4EkaWJxvcn8/oBdPv92M6nZZsPWWIOUBH0MrODPdkvjyOmoqAz3IwLEu6+Z0s1nw+j+Vy2RyThoaGXxe9eMI3zlJHdHueeGGN8pbAkMtMWByj1t3v951NTNyIP/Ma9zQf2SkxfA035R8MBjGZTErGHsfCz2fHiuvkRsuMy/cfDAYdpRdqas+TnSYSLqizTm1eE9ENOFpNbF5yEI3Paz/5DnIbgIaGhoZfCl4HZxueEw4ORlnZROAmK60cKHIQieu56X2+N/Ye38MVJDXesSKZBvb4D1dXVzGdTuNwOMRyuez4Pp4HP2fNv3OQi0CYd5S0j+UEO5zHnHAN8wXH+t758+cSNKeSMw5ENjQ0/DS0QFgFORsScQzEeOGO0ckNGjG+lEPkEknXs/v6GF7GUAuG1VRheeGf+4iBx8fHeP36dWw2mzKW4XAYL168iPV6HZvNpjhSGXZOslG36opxTafTGI1GMR6Pizx6tVqV53FWxXOYe4zxM5eW1gjV9fkOhqEciHjXuJm+AtPpNNbrdesX1tDQ8KuhF92eIjkRgHLWXOEdv1x2WMvW9/v9ogSOOHIIJezsFMk9bV9zdp7z+emsfeasxWJR7O3h8K50ZDqdPnGWzI88j8eZQQCw1+sVjiHIx/mUUXqcBAp5DquQeS87eFYY5zIbO1W5pNKfR0RxkNoOkg0NDb8GssKrpiqyjcvBGhS92E3Osw/AOpsSPZLvLn18bky1YBgJFnMQHIGPtV6vy3XOzs5iPp93Eh8gV7VkTrPP4JLFw+FdWxVXvdzf38dms3miWjPw9yxWqI2ldgxzXFOC5TkEk8kk7u/v2w6SDQ0/AS0QdgKnAlF5MWxnJZ+Poc0Gz42NMdYY+pozk+WynFsLkuXxG/RwiYjS0NiwSi0jlxcyFmeI6G9DoI9g09nZWWw2mxgMBrFcLjuGvuaE2DGy85efhfetKHCpjccIebvnzWg06sxJQ0NDw6+B3Eg+orsjVlYYWTFmp8H8YsemxjW2l8C2GceG4E0u6zilFrZCOOJdQAzAW3aa/Hz+WXNOfB2uheJqMBjEaDSK7XZbekBmx69WgmIOz85gVpa9D6d42xyZ56uhoaHhl0Btw5JaSR220L17I7o9sSK6QTD/hDdcGnjKNvqzmqIpc0z2bej1i3rLY3M5fu0Zc2mi1W7Ya+bi7OwsBoNBCYhtt9vi22TBgZ/llF/jea0lmTzOzF01HoNXW4lkQ8NPQwuEVYCRyf26nCF2BtyLcgyif2JoCRRhXPlJ2Yh7kDkjYSOLA4HhzH1jasjZespIBoNBGQP34NqnsvyeC14orAiunZ+fx2g0iul0GrPZLH7zm9/EarWK77//Pv70pz8V5ZlLauwcMUd2lHwcgSvPjdVgmXhMhM42IaO2o9bQ0NDwayA7GyzkscfYRfcq4XgUyC4BtLqL6xH8R0EV0d2l2BuhoBgmuYHiinujEsiLcX6ivnp8fCxNhw3bdx/r/jJOZJgbcvLDDsput4ubm5t4/fp17Ha7cs1aQM1OTk3hzfnPKe7y3/k7tcNJ75oWCGtoaPilkQNKEfHEp8nJ9hy4z7YwJ/dJhNtuOnnu6+TgDaX1tWP9DPy0Ymy325VgmBNDLsd3wClXnphrCOZ5V8qzs7MYj8cxm80i4p3q7c2bN/Hjjz/GZrPpqH1t8/f7fYdf/ExOtPg7yHiOc/y9tvLIhoafjhYIq8DBE4yVs/A5W53lrDbUlGiwgGex7t4jEccAFw4Mx9f6guXMuLP1uZwjB5swuuzuhcHH2TGh0U/GPcecWc9EaOJYr9cxm83i5cuX8Xd/93fx8uXL+Md//Mf44x//GK9fv44//vGPpXTGZT4OLFKXT18z5uvu7i4ijrJon8cYa8o9AmUQ1mg0KgGxtttKQ0PDr4Fev1dKLe7v78suwrl8HA4igOXFNc4AWfiIiPl8HsPhsJPQcFIDR4cFO+fb7jvjz31sX8/PzwvHZa6JOJZxsgMZdthjz+X82OfsmFlxDGehPKD08+rqKq6uruLrr7+OP//5z7FYLEpAzJxohTPvUfZC78z9fh8//vjjk0RQDoh5bvhpxZ6DkW0HyYaGhl8aDvA4SIRtyj4Ndrhmp1izY9toVu/rcZ2sUHZyx70aHSzzTsdW/TIel9U7+ES5vJ85B40cCHOyH7vONXKVCzw3mUzicDjEd999Fy9evIjf//738f3338fbt2/jhx9+iPV63ek/mStX4C98QT6rqd4yanxTCxC2HSQbGn4aWiDsPTBR2MhnZENmxyBvd+/+YKeyERgwZ765j52fmuzXUt9abbrh7LoJwOdmp8Zj8E+a5btJ/uFwiPl8HldXV/Hy5cv4+uuvYzgcxuPjY/zwww+xWq1is9l0JMIEDiFEPkNBgPPj7BHjy82NTYQQESRPEHA8HnccpYaGhoZfDId4YqdOcY3tsZ0HL+wJ6nAsiRHbbmfhfT2SBdkW5nL4Uxnp3E7AvEggKHMH9tzv1a5lBw5bbwVZv9+P1WoVk8kkptNpXF9fl6Di7e1tCTTW5jYH3uAaKxtyMMzz5vnzMfm7dKKqNc5vaGj4pZBt6SnfwdUtOdBiu5zbs+SEAFyBDc1+jfnJCRb3IMtJB/OJfQY+sx8TESWQxee51N2l89mO5yS/fbnZbBbz+TwuLi7i+vq68O3NzU1st9vSh9n39bUZm5Mk8JmfFXCcx5h9Qf9EGd7Q0PB+tEBYBQ7G2LhmZKNMTxQv0MnQcz1KTVAjOcpPUIZzTUi9Xq+UNNqZYUFdazwPcsaBFwRhJ2c0GhUp8Pn5eWw2m+j1eiWoVXN0Mnq9XqxWqzg7O4tXr17Fzc1NfPPNN/FP//RP8Yc//CG++uqrePnyZfyf//N/4vXr1/H999+XppMOfvnazBtz6PllHHY4TJLODOXMVL/fLztIun9YQ0NDwy+B/eG4EUve8RbusENiO+myegeEdrtdWYxfXl5WA1uTyaScezgcSnl7v98vi3mu9/j4WAJWXryfn58X3nPAyAkk+MtZdv52XxeegfvlQBEODEkXK5pXq1Xc3t7GarWK6+vr+P3vfx9fffVVfPXVV3F9fR3ff/993N3dxc3NTZlPgn6e116vV3q/UG7JM7jpck6yMD7zuZ1Kvk8nY1ogrKGh4ZeAkxsOFNVgu+3+veYYruEWK+zg6yANvgU2HZtIooHr+l45iOMkgv2dHJhzj0x4BcUaf2+327i/v4/dbtepcnkuCW67vVgs4ubmJlarVbx48SL+7u/+rnDM5eVl/Nu//Vvc3t7Gjz/+2Kl24TpO+MCptJKp+XK1YJfHlX/3d9PQ0PBhaIGwCrxIdQbcBiZnEpx1yI4Jr8fHx7Kbx3Q6LUbbJAUx1Mr8MJq5v5YVZ+BU4M5BsVxiiSM0nU5jOBzG5eVlrFarWK1W8fj42Nkh5bm5s1Pz8PAQP/zwQywWi3jz5k18//33MZvNYjqdxnw+j9FoFLPZLF6/fh3L5TIWi0UnIOUxs8MZnzMfNaeCeSPzZBWDsy84hJPJJCKi7bbS0NDwi+KwP5YDRnT7i7D4Z5Hc6/VKsIrgDHY54lg+GRElkMWGJZTlcR8y9d41MmfmaTjP3xxrDqolimpJE+DyRq47n89ju92Wa7vXo6/pn04Q8fPt27ex2Wzi7u4uvv322xiPxzEcDmM2m8VoNIrJZBK3t7ex2Wxiu912SiTt8BAIpEcYjltWSZ/iQivB8vwMh8MSzGsq5IaGhr81Tvk0/jsnj7OSyiXr2GZ8msPhEKPRqFP67gCWW5Ngc53c3m63Hf+Kdfv7kgWueKklewgy0b94NpvFer0u3Ai/PTdvTuxQ0vnjjz/GcrmM29vbwjP4MvRHfvv2baxWq1IuWYN9RebNya/nfK0cIMtK5/F4HA8PD82naWh4D1og7AQw9jlYlDO+HHtKkeTrQSZkUtz818djCK368k4g2WHK5YHPPZNf3APCyVu7U/v/8PBQgk4f0ug338Nqr/Pz85jP53F9fR2j0aio0KbTaUREcbRqxOHn9lwR0ALPSYL5Pk24EVGUeI00GhoafkkcolvqaIfAnENZn4NP2G4nUiKiU8ax2+2K00HwK+IYNIPnuAbvs8OkOSaXqJgvfJwTLhxvhyUrpgiMoVR2uUyZJ12vVi7Ds8I1KLpms1knmeQAYIYDfrlENCfCPC6jVmLjoBj3qCmfGxoaGn5uOFBUUwxl+37Kj8j2yr6D1WGuMqmVQOYxWOXscXgsH1qZYzUbnML5cODhcIj1et0RLHCtU/Cz0xyfMbMxGBvZUN0TcdwAIM8dHOj3PC/Zpzz1+6m58bM3NDScRguEvQcYzrwgjoiSkXfJBudABC5/JJtwOLxr+D6dTksQiP4lzlDYeFICQq0617Oc1s0kjVrQjjHbOaGM83A4lAzHfr/vlIiYMGpGNqvOUHK54f9wOCyNnEejUVxeXpb79fv9WC6XRcJMsDA7fVYj1JymWh8b3ucnQbSId42le71eacTf0NDQ8EugF+/sFE5EVhsTqCKLTUIhOxO2xy5TfPv2bUcRhaqYTL65waUvDhjh6PB3TogwxhovWCGM3UZ9zLN4d0rKHnNpSU4AmWPyc+/3+3j9+nUMBoO4ubmJiHe8zDzAo5TIHA6HEiSjxMc911zSYqXEc4qw3AOGcTMW93FraGho+FuCYFReM+fkgpVfDmi5VN8+EMfTn5F1vdXGOdAW0V2Lu+Q94thPuZZwyIkbPjNv2k9xMI7+zIPBIEajUTnuuQ1MctIHPoNn/vznP8dwOCzq48FgUHw7AmOr1arwqHeifM7+mz9OBSZrySD+tqqvoaHhNFogrIJcG+8FbC16X1NTRRwXu1aRRbwz8svlslxvOByWVzZsXIP3TDw+juvnJpDOjri23oBwcDy2220x6BhiN5d3dt+qNI/dQTq/551MRqNRbLfb2G63MZlMyq5d4/E4zs7OYr1elzESRLNzkgNdmRwzPFaTBJmjyWQSs9msU2rU0NDQ8LfEIY6qLKuAc9aXHl2obLHv2DICSRHdxsWr1ar8PZlMStIhouvIcA33XfSCPztN5qMcIDvlxMBBZ2dnZXOV3NPFpe+cm501BwA9NgfN2AAFnqBMZDwel4w9rQgcXHQJPvN7KnvvZ8u/g1OBMxR3TRXW0NDwtwb2OieJayV2EV1VsY9lA5K85l+v14UXKEfkWI7hHgTinJTPiY18/Voi3L6X+Sb7NLvdLtbrdfGlOIagWA6gcX8rgDMPMm6LF+AReMa903JQ0M+QfRM+dwDxfRyROYrz2w6SDQ3PowXC3gOTR+2zbKhdomLHJht1jCLBK2/Ti8ODIwBc45/LVfJ7eZw5eMV5Ho+Da8icXdvP89bUVi4jzY5BJjwcoIgozlPEO8MNeUQcszR8dqqc5UORiSSXA/X7/ZhMJidLMxsaGhp+bvSiG9ipJRZyQCaXGfr8XHZHAIhsPsdkrsmljV6I54QLyOrf/OJ5nKHPigP3xXSvGisQ/J65NeLY5L7mDHm+uD+8Sgbfm8a4Z2cuOc3KgOdwymnhGjxb20GyoaHhl0DNN8iw3cpBn9xXDFtsnrFPQ4IG5WtWmeUgUG28z425Fpzyc5Bk4G/8B1+zpjJzsNAiBp+bhQYopvkMP8X9yTIX5UCYx1HjTs8Lc5Z9uVppa9tBsqHhebRAWAV5y10CVRhGG/4acVhNRnAHUuCYh4eHWK/XcX9/XxrUYzQ5l9IVrt3rHXdvjDg6CjbGGNKsKrDBPZXVdjbfCgMcH+YAR8KOFWO2E4e6IAev9vt9bLfbch87LDhoDoY5Q2+Hwf0EsoNSy3zxnJzrZ2Ms19fXsVwuOzuENTQ0NPytYDuOHcJ2wRf0B8NmYXudwBiNRoVrKDvEpqNyHY/HJQBEaYjvH/Fu4bzb7YqiCuelpsbywt3PkINFPI8TIgSwHBTy8+WAV00V9twCn/ljIwDG4bHBt6gCPD5zV+Y2+CYrK8zX3CevGzyWU5u9NDQ0NPxcyP5HLfhUC8jbd/BxJBDcNxh11OPjYwwGg1ImiQorl8+zRvemIeYDB9NsI53UcAuAjKw0o+TefTi5H6qtmo32/FmMYL6w+swb0/hcJ//h7qxmsyKc+9XKSk/xDs+dE0ctENbQcBotEFaBsxgYaTLJzmZEPFWC5UUvn7nW3mV5h8MhlstlUUpRsuJdqk45F3YIfM18/fcZwqx287PlzE8u98wEZGcqz1EmQIiAgCLZJFRhNuieA2fpaySRnwOHKMPfBQ4PO4xFRKc0s6GhoeFvgV6/V0oF2cnQgarcm8tcgCMSEU9sZcQx2IIdZwfg3W7X2ayE67BAzwkHSjzgiqxa9qLdCuKIbrbajlB2JKxuOxwOHUUyz1VTCeTgVP7M98HOZ5U3c8yz8dzA17VK4JRqzmPy39lp4V5tB8mGhoa/FbzZlZMQDsZHdFVWz6la8+9OkNACBXtLsgEOyYl5zicAhk3Eh3CCPCI6/Rprailf75SCi8/w6bKq+jlYBFHzA60mZqzj8biqRMtzzmdwS/6Zz60h88zhcCgcv9lsPugZGxq+JLRAWAUYRwySMx52Kk4pjmrBmVOZBoyqt7AnYwFy9sKBL8bpLEctQGTjeIosDGeNaov3/Pw5+GfDnTM5eT6sXNtsNqVu389uB8bSYmdsat+BS4FqDlStX8JoNCqKvYaGhoa/JVwaabVURFeJZPvqzLSVsb5GdjIiorMzlxf/vk5WP+Ew2F47u20b6oBWLmn0T5B5wIv3WvAJZ8nn51KbfI4TMU5uwWME8Xxvz0lNQZGDYadQ43Hfx8rkvEZoaGho+DlgG+P1eM0nMLI9yomJmo2O6PKM/Rb+Ziy2oyjWXOXi94F7YZrbakmH7IM5COYgE2OxYCHPw6ln51zu70QVz2MBQc3n8rVqHFBLrJw6Lo8fEcdzYoiGhi8ZLRBWgTMlEceabzeSjziWBkIu7mlF818Mdi6zyDXo1J/bweE63umFXa08Pu5hOW7tmawS8z2MXMIC7GDsdrsyrsFgULJNXNvZET9X3lDAmfrNZlOy8pSTTqfTcn2XV3rO+R7y83ns3D/POZ858/T4+Bjz+TzOzs7KbmMNDQ0Nf0uwWD47OyuNbQ+HQ0wmk6IQc6beSRNe2DZvxsK5Vldh/7gPzgA2HXt+fn5eMskRTxMH5hov/LH/LvtwsAtkrvFiH1uMSthqgdqinh2Pe73jDmHmX/MSyRb+dvNnPxfXc2l+rUTS1zfsNNWCkna+hsNhKStqaGho+Dnh9ibYZNqsOJmQ24U48ZyVUzkh42SzbbgTyrnsHZvuXYOxi5QZIhaoBdZqa/4cCMtJcn7mpAnXyv5VTtbg0/B8uWyUc7wjMc8zHo+rPo3HZJVxximfzckejvO4W3lkQ8NptEBYBS6hiDiWL0Qcd6Pyblc+LyuW+OlFM9nomhTXEl6MZ150DwaDEoTq9/tlJxJfP5fPRETHSciBIn7mGv78eUS3N1d2xDwXDj4RCCPYVbs+2Xoclfl8HrPZrDhkd3d3pX+XG+dbgVDLtpi4s3qCZ/A4cUyurq5iuVz+VQ36GxoaGp6D+YagDAtpuCKXpLu0xLbe9s9BKS+uc8DJSQuDe7rHC30rCTQBEkWoeVHx1lRaHkcenznFZSskLNxrxddycsmqOl/fDl9EdAJts9msjHu73cb9/X1xZFxOxDznUpqsSjCy2stjhue9g2QrkWxoaPg5kf0KJ/nzRliDwaBTbm/77ABXTQ1b8wMclHEAivfNGTmpzXHwE21M/Ll5zufU1FH5GPOLg3RO7ud5tD9BJQ/PxTP5mdmshvvR+mUwGMRisXgiAsjz4/E+pxiuJfn5DiKi8Bz9QhsaGt6hBcIqqGV2XT6RAzhkLdyvJWeL+elgVY7a5+OycffCG+ON42QDagVbzprwMyuz/CwuE/Ec1DIKp6S+WaGVs+BkePjbKi/IBSdwMpl0+hu4zt0kmMtDDY/Bc8n34AwNRDifz2O73bZAWENDw98U7ntiZa8zyrzcq9KLbzsowM5Hdkgy7+RAT1aAoZz1rr9wDQt+SigJWNUCbH4WL/6dwbcKLDspp7LiVs7lgCH3de/JrFpGbX12dhbr9brzbHnOTsG8nxNMed3A3PtZnUhraGho+Dlh+2UlkdfPfObAVA210sD8O5/b76klBWzr7dNwD9rSME63qLE9ryX4bXtrXMQxHkduueIAGP6B7TT8VduV0huv7Pf7GAwGMRqNot8/tt3Bp/Ez1LjmVDCsFvSzz8X3MhwOO32vGxoaWiCsCgwtpY52EGhqzHt2OtxbDIPFNbLRqUX/fQ2CQ3kxzj29eB6NRsXxuL+/L9kVb9lr4nHm3I4K13XPspqCzGPI18hKMBPNcDgsjhLqMOaVez08PJRGmzc3NzGdTmM+n8dvfvObmM/n8ebNm3h4eIjValWOd9+V/F1kgrCzxbiAy2jOzs7ixYsXcXd31xpMNjQ0/O3wHwtoFsVkoweDQdzd3RW+sc3G/qIO3u/3sV6vn9hyK12tULYj4Z2/vCuxgzRWZY3H44g4lvNb0eYAVG1RToCPa6K62m635dicBLLjE3Hc4deKLgfe3Fj5cDiUZMbhcCi7Q5p/4brZbBbj8Ti++eabuL29jbu7u3jz5k0ZVy6ByUFDqwH8O88AT1nJx3vwOM5UQ0NDw88F7Ce22kEcdgnOSi/skgNinJ/X21Y/ZQWWy/Lt09i3sA3FFsKDu92u8Bz2ns3M4ELO9fX9vjfmskI4J8ed4PH1vHsjx0a8U3CTfHEpJFzKteC99Xod8/k8zs/P4+XLlzGZTOLu7q70JDY/5Pk9FezKanBzZ74O1S69Xq/DuQ0NXzJaIKwC16xjPDFSEd36d2epc8AoS3y91a8dBq6Hk+EgDs6Mz/WuL1yfxT/XyQv+iGMwCqeBzzCIVmfZsNMbDThLYsfM98sk4xIc5obMDzBRbbfbWCwW8erVq7Ltca/Xi8vLy/j9738fr1+/jru7u9LHy/JfO25Wh1l2XVONeYzM43w+j4iI29vbn/aPqKGhoeED0O/1Yjqdll5ULPZdpuL3IrplJfxNCWNEd4MSB5YIClHymLe2J1FhZyErbnFQ7PjwPmNxIM7c4H6MfLbf72M0GpWglLkmJ1N8Du/5eZkXnInsaMHtLtOPiFitVsW54tj5fB6DwSBub29jtVp1nBwSXh5nLhXKagO/b0fF13Rgs2XsGxoafg44aULCnDJ3QOI+b0YScXqzEq/ps5qJpE5ElOCLA/8+/9TmL/g1Vhs7we/yeXwabDvjMCc4IEagyhyT/YjnlGb5+a0k4xrmmV6vF4vFojwPzzqfz0vy5fb2tlN5lMeVVV5eA/j9Uwkp5iwiWiCsoeE/0AJhFeTyjGzcMYxWQRGsArm0w1F6FtuW69rZ8Pk5YONsTk3Wm+vdcTwIPFGfjjHGOcm7ZmEwHQzLgb5aEMzPmceelWkOTDGHDvZtt9u4u7uLw+FQlGHj8ThevnxZztvtdiWbZULLzpOVYNm58ndskoqImEwmsd/vyzgaGhoaflb0otP/y03TsYnOUOcgDLDqyEEsv1wWYdvL+RHHnmUoyfKi3HYUwDeMz5u6MG42lIFPOA/gNOQNX2oJpsxDWYGVg2F2qvjbyqzNZlOcNbL8BM0Yp4NhOejleYh42ovGP82ZXlNY2ZafuaGhoeGvgdfjKGVtp3JAysn9HOCxLeN6tbI+7JpL9m0juU9tt9+8TodfCIRFRKecHeECiSP3PmN83vjEQSzPwSn4GbKQgftYac248RMJvq1Wq4iIGI1GpXn+5eVluU/myFNBuOxXZjio6O+l5ts2NHzJaIGwCmhsSAZlPB4XI4YjYdLAsHi3KcDi2w5KRHQyFpYks7PIfr8vBn44HHYyHZYxm4isKHCWgl1KZrNZkeX2er2SqfBzAa5HoCkiSlAMAiPL4ew+85Fly3zOtRyoG4/HMR6P4/7+Pl6/ft0Z12KxKI7h9fV1XF5exh/+8Ie4vr6O/X4f//zP/xxv374tJUQ5CIfKIZMTz5jJhmwJZDmZTOLs7N0Okp7XhoaGhp8DLE7Z3ZGAkZMCHIfdxY5STkegZzweR7/fj8Vi0XEKsH3YNWzs4+NjjEajog5z2eNut4vNZtPpARZx7AtmVXTEMZgH10yn0+Kc4HTxbHZSIqJTJuljmIdTjerdwiDiadDJ78MF8DmcCtctl8vChaPRKEajUXz77bfx1VdfxcuXL2O/38diseiow5kP8yDfBd/bqcbE2UnhOqPR6FkHp6GhoeGnALvvja1QGWcbi13OPo2TyNh6eAFbaptFeSLXfnx87CQY2CAErsk8czgcSkCLsWFb8R0mk0lMp9OqT+MEvvkPv8acY3C/3DMN8J57YPLcVOOMx+PCKxFH32m32xWe2e/3ZUOwr7/+Oi4vL+Ph4SH+7//9v3F3d1c4nECbyzMzv9VECh67ky6MfTKZtJ2KGxqiBcKqsGG2kojAWK/3tI9HlvT6fQJhDmg5e+J+YzkTQ+mKs/fZOYJonOnwwp+fXpzngJoJg3G419j5+XlsNpvYbredxo65Fj9nxG2QLavO80rwr9/vx93dXSnhMYFx781mExcXFzGdTuMf//Ef4/Xr1/HmzZu4ubkpigKr7xwUZL79/QATiYN65+fncXFxEbe3t01O3NDQ8LOC7Hy2iTgFWZGFI5Gzu/1+vwTGptNp6aPoBXS2fVZs8Z7L8nF4nH32K/fEdFYcPnIwzUosnt3johx9t9uV3RsdBAPuAeaNBRh7VnXjOKH24lms8rKTSKKGwNRgMIjf/va3cXNzE2/fvi07bzmYFvFUUZBLVWoOi9+zo+dkW0NDQ8NfCkoevab2WtzHZaUvP21XrT42L9gOWvFVW2f7WnCGg3HmGbjucDiUY7GTEcfglRM8Dp6ZO+0PsWMjZaL4NIyzNm78FObFiRnzJr3DSEzBg+Zi/JWHh4cYj8cxnU7j97//fdzc3MTNzU3c3t52/DrjOS6pvfJzsClP45iGLx0tEFaBySAHuNyI19mTiKfEkssjh8Nh7Ha7UtJngx9x3HnE93NAy8Rh54PAWK2E0aTFmCkFYQwmMJ7NBp5AGM+TnRMH0HL5p+chzw3jcm80P/tmsynHIGvebDaxXC6Liuzq6qo8w3a7Lec7YIWD9L7M/Cn0+++2HV6v151m0g0NDQ1/Lch8O9lhe5qdEGxnRHTUrl7gc82862HEkbdwjrB/OBa2h1wrOyfZycBJYXwE8fb7fdmBkXJ7J5HMSzznbDbrJJwYu5MudlZyUgkVdH4uepsRLGSeSbowd7kHDt/L5eVlx9lyksYOU+37rWXuzd85CdMCYQ0NDT8X6LMb0W0HYhtpNVaNcyK6wSveI1CTeYLz3eM3r//5PVfM4NM4oOUEv8/HRrpNSk6AY+tJ8PMiwY/v5NJQl0JGHJMc2V/IFUDw8GQyefKcm82mjN/BO+b97OwsLi4uij9HQoikU61c0n9nrsnH+L3c37qh4UtFC4RVYONk42diILDlEkCX4gEMrx2UiIjNZvNEVguy4uvx8bEow0w2ZPIJEJHdcHYfI+cSmcfHxyLPteG3ZJngFCo47+LC/RwM844u3DeTUVYbcD3uNZ1O46uvvoqLi4u4u7uLH3/8sQSe9vt9eb7dbhd/+tOfYjQaxXQ67WRxTLanSCE7LZmkOcbE89VXXxWSpca/oaGh4a/FYX/olNs5sMOi2/afEhMUYD6ecy4uLgq35JJ+OxXYtPF4XLgiq9Cwhdxnu912Ejl8Dv8R/Or3+0URxk7AThoRxDMPEIgaDocxmUzKGL1ZAMoGO045KcR1c4N/OG40GsXFxUW59nK5LLYent5sNvHDDz/EmzdvSsnLdrvtJMMclOt8p4fu7l928PJxwEkwdoKurQ8aGhoafgocWDplT1C/OjgPz7i3ohMulADCC+aPDPiCl1W9tuMRUXiD0j3bUj+Ty/XX63U5niAfXMJ48WOc5B8MBiXghL3FJ/B9c7WL1W72/bjmZDKJ0WgUL168iPl8HsvlMt68eVMSKZRm7vf7+Pd///eiImM8fga4ICemrOZmTj4EjBsBwnK5/KDzGho+R7RAWAWuDY+Ik8bdWQbOc1CFIJiDSDaAzrADruVyR18Pw+eeYQSHyGxkp8FZGO7n0kg+4xkijuo01HEoCE6pwU6Be5Kp5/mtlssZJ5r607w4Z5vW63Xc39/HarWK1WpVxsf7pxphWpmW38vvm+DAZDKJx8fHFghraGj4WWHlTy4PiXhnZ3MSwVl0gj0sws/OzmI6nZZgFPbb18S2OViDfbYizWX32H9n0NmQhfHk5zFvorxyUoSxcA+Oy85R/sl5ttFWivF7VlMzP3yGUo05MG8QSHRihMQLHFpTbVnVVStfyajxkje1acGwhoaGvxR5jetKkMwzTvbn3/Fp3KAe5RMJ8lP+ktXEeTyuasHPwL6ypre/5Rfjd5N5eCmiywnY8OzTPGdfM9846cLn8J8TPBZH0BaHHpxwA+OjQmez2XRsPpzoSp9a4ov3zcGn/DJfx4q1hoYvFS0QVgHGwQEfZyVsBHMpRcSRdDCKluES5ac3CUbNyiyAsSIY5rp8G0lq3Omp4kBYLnWEjHJwyQE2xkgvsIijY2L5cG3e8t9+HkuNnyMesjjOTtkZeHx8LGWQlhpTCmTiM5zp8fhOEYZJ5XA4xGQyKXPTHJOGhoafBcn82L7DQVaBuW9k5iK4ptfrlY0+1ut1uZZtnRM3AH7gMwd+vCjPPSnNmflZsJn5s1x24ntkuKynTJsSUFkFzJyQRc/XIrPuoKLtunmnNhY7bVbOeVxWFbi/p198h7VEDGOrJXUaGhoaPhROPgP7AE68ZMUUyMonfB/UxOPxuMNXvrfhxHiu4HCSwYEwtzrxeXAOttp+mp/LgTTu5YRODi45EZTv67HiIziRX/Mpsk/D83Bf75Scv6OcGMtBOPMNY8s8mK/LZ27n86FqsoaGzw0tEFbBaDQqTXUxypSuoLjyAt89SZxBweBhoOhPQnkhTopr1Lk3zgywUSPjgApqt9vFer2O5XL5JHtMBgdFWnacuE7uycK5OXAWccywuPwkk51lz7mxP8YcEjk/Py/z5Dkki+KMVQ7csXsaOKUGy+OykiCPPYPnR0Z8cXERq9WqQ14NDQ0NfwnO+mcxn8+fOBCHw6GTYcd52O/3pdxjOp2WHiLL5bKz0zGOCSosuIbjB4NBzGazchz3xJ5bgUbpyWazidVqVcYV0XWoXIpowD+73a5whtVl7pni4JN/d5lOxNGGD4fDcgwljrb/bLTCM85ms8KJteCVOTTzjoETUktiWfHmuTD/5fOs1IPjKH2tlQY1NDQ0fAgoNXdVh1XCVguTsM7l5BHHjV1cckgLFew/m1rBC/hSDqqBrDiLiJK42Ww2ZefErBCG59hUxr4RZYQE9FwFA28dDofiOzhQlhMj3M/VIfgD/A7wDSOiMwYEEfA25+RgGGPhu6ltxHIqmeLAYPaXTvlCXJdWClTUNDR8aWiBsAoozcNAUvtOKaGztJa/RnR3RImIYoAxniyKKZnkWBbvKMi8eLZc2Q2NMYTOzjujntVqNuRksXMwKGfEvXDPYzFZnlJJ2YgzX75ORBQlG8FESiLp/2Wi4rlcJmrJtR26Wqbdz+Lx5ONqTg9EeX19XfrINTQ0NPw16Pf7MZ/Pi+3u9Xol2UKQCjvO4j/iaEPZcZf3sEscNx6PO2WCJBhcRmlOs1NC4M0qKKuDveh2U2JnzxkPgR3et/ORF/m1cpTspOQAEs/v3/P1PG6y8+ye5R6btfITPy+BScaSs/QcR3IpqzFc1pPHbWWdy20a3zQ0NPwlIBiF/SfwZbvoQLyDKsBrfAfO8FXwXSKe+jS8sg3kuvCFAziueLGiyyqmUxUdvlduMJ83FONajAE/pJYgN89mX4JAoPnR6mr6KGdBATzBOMyFvs5zyApjP5dVbIbVyN6orKHhS0MLhFVAkIq6d5yEiK5RdTAJ42ylWES3x8hut+s0a3SGxEonFvwufcFQ4whBNF6YOygEciDMTocDWrVza+/ZaPb7/dLU19fgXO/2kufPWRYyKThJVgxAgN45JavuPAcmJj8398zv816WPft57QRFRFxdXcXd3V2TEzc0NPzV6PXf7ZTojDJ2CTvv5Aa8gS3z3w7SEMAajUadQJj5zLtc1QJA7qnCdXN5ZES39MZ9Upx5tzoqcwrvZcfLm6y4+b0X7XZwsnPC57VAmHnYwTo7Mh6f59hBKXOqYS7MCjnOy+0WHCDL64sWCGtoaPhL4KoVkiDYFytUsauu8rBPw3rd9p9kitW5LqvPCfyIqPKPK1Iyl9Gr2IGwiKj6SU5O5FYutrURR9tunwblsf0BrpV9hPyTRJY3JrBwgQBiRJSgmAN7eYwf0h/ylA/i4NqpYywusE/V0PAloQXCKsAQjEajsnPVZDIpUl1v0RvxtE4bo58VS979ajwed5o75utAMBinrBRz/Xw+H7JgkU9JH40aI6LU9UdEWWTnppGnDLB7n9X6s+AoOOPA9Zx14j0Igj5nFxcXnR0rB4NB6QtmyXOv1yslL+7X4uuDrNiD1KwKO0UEVp9FRFxcXMT19XXs9/u4ubk58a+ooaGh4QNwiGKne71eLJfL0jTX2WFzjFVaJEZc+k55ytnZWcxms2K7WKjbYcmJFrLiOEvYV8ZCM1/Ot2oJrnGSJ/d0sTPgpEZO0qBIYCzmFztDuWzQKrUc1EPhRmPi6XQag8Egrq6uyjNERNkZ08DBgccz1/g7snMGv9lJ87NnJ4trwjmsA+C35qg0NDT8FGCbSPDz+2azKbst1hIh9ikcJMPnwE7mVibYM9tpB/qxxSRmIqKjOM4qKCfI2ZHRVTUR0Xk27CWBNXNHzTcw5zkIZuEDc5QVy6cqYVyhM51OO/2iV6tVuaa5tNfrxXq97vTmtFLb3Ma8OBhX44asCqsl/A+HQ+Huu7u7J9doaPic0QJhFWy329KbA2PNgnk4HJam7CYOMgBkN8gqUBNOIIfjTzWf9wLeTe8JakEsbPdraat343Jt/3w+L7u8nEJWskV0s/x2WHyPPGbOw4lxWU/tnhFdsnEGBOdwv9+XHmI4Aw4Quv9Mzq5HdHd1MRzIzCo5UAuMPT4+xnQ6jcfHx3j79m1zTBoaGv5iZNUvC9LRaNQpqwcuy3am34EzgjY11axL+VzqYqeHXl4s1tmFi4AU10HtxDim02lnt8MaaotyB+Eiuo3mc3/LPB+5Sb+DarbfcG1W+cLTlEpaxeA+LiDPX1YX+HvNv5tz/DM308/PEhFlTk9tVtPQ0NBQAwEZ8wzVHPg0Tni4woIgES1LrJByIt5KrqyesgLMvRPdvoXEPnbbPkbNp+H3HBjyGDk3K9CyTxNx7C+Wx8x1sb81bsv+xSlBgdvu4N/hTzrQWBtL5pdTAa0azKtZxcbvrCHOz89bT8qGLwotEFYByiQcEspL3HAy9+UiS2z1Fg6KicE9vEwaWU1FUA2isIQ4IoqCqxYIY2F/fn4ek8kkLi4uShAtl3REdJsd43BEHEkjq9w4F0clopuVZww4Zpk0aobbqiuyITgnEVFIg++GMXhswM6GDb8z+CZtAPn6uNrvNM5vUuKGhoa/FjgVcI17frlPSsRxx1z4xH2+sKHYc6u4cuCG4+Aal7e4nAMbn8v7UEthgwnc4aBwDKUfVv7aWXFAyI4R79OYOZfUWFWVudJOWHYgcDiyQhinyoEwnBQHnnLJ0KkEyqnv2WPKSov3KTKs0GtoaGj4ULh6BPtK3zD7HPZtOKfGM9g++vs6GZ4VuS5xtE+Rm9Ln1gBuyB8RJRg3Ho8Lz+S2Jdh6WtrAP1mFyzM5EObSzxwIg1/AqX5nPLPft8jAKjb8xX6/H5vNJiKicK99vtzTLN83+yDPqcLyc/k7c6sA1iQNDV8CWiCsgrdv3xYymM1mMZvNiuzX5QlWGiHLxWlgAe0dG6fTaSEaPs+qMQwVJBTRzfrXMhYQBsaTgB2EMZ1Oi8OwWq06u6VAglwn9zKx1NjBOAylM0O1IBvlMlkBh+G1wxXxzmCz44x3B5tOp+XeDkLiQNEHByfRDpDJLztUOIS1Z87Ze5zE3W4X4/E4JpNJfPPNN3F7exvr9fqv+0fX0NDwReLh4SH+9Kc/xcXFRVxdXcVkMikZY2zWeDwuQaHZbFbsE03e4QhsKopkZ/dJLli5CxdxDRbCwNl+Jzhcbo9y9/r6OqbTaUREbDabuLm56SSHsP9cfzKZRER3YQ83WHlsW+zj3IMm4siTuWcaQbycLIJLKEONiOIEwAF5F0qUFPv9PjabTUcJzpzyTFnllZ2lrMDmPDs2/p37tmBYQ0PDT8Hd3V3hi+l0Wkr1eM/2iIAVyV5szm6366iVrNbymjwiir8UcUy039/fx3K5fBKIcmKBc7i/N9BCjDCfz0sbgfv7+7LLpBMNLkXPu1U6AZF7l/kaVl77PNoKkLwiyIdPY5+P6zs5xXEE89zeJSI6wSh8NTg8K4n5/blk/KnPrGy26mwymTSOafii0AJhFZB1Z9GM0WRLX/cHwTjlhofO5Oesh2XHVnlBFhHRISg3SiZjwL0gCvrEkHHAUaGkk+s768EiPvcqyyqtmiTX5Sau6c/nMlbuyWfMG+PJZSEO0HEdyMHEgvF2DzQyVfyexw/sRPF7zgLZsallVS4uLkqfhYaGhoafisPhEJvNpqPmhWtyj5KIY3N8Z7/NNbZRBLpcbu5FP+dRnpEVvw6aYX9RGsM1qKn4PaLblL/Ww6sGJ0SAyz9s8+185DKarKqCA3ISx3A/sFw2Y16wMwT30fIgj9klOFkl4LngGU5l/P0+z9mclIaGhg8FiWqURxFRNmhB1WXOiOiWFEZEsbkExKy6deUH62Z4ius5IVOrOvG5VozBL37Z1mOjnRwxR+Q1fcRT38Y846qUrAY2j2T/wEpq/J5cImmewZZznpVf+HL4NFYfZ/50kiUnXHyMfxpeLzD2Vobf8CWhBcIqwKBCGofDoSiOaJjvRTmKMBrrR0Qn0OTSBiu+IqKciwEl+IPjY4OcDbcDRBHvGuAjHUYh5oW8DSSBJpd3OqMTEcVpyNkSI283z/Nxb0upndm3zNj9xLiOHaher1fmiIAfz2ClAqSRlXseWyaJWgCM+XUJix1DZ28uLy/j9vb2vVmZhoaGhhqw9diqy8vLkunebDbFvm632+j1ejEej2M8Hnc4w7bOSQNUwA7gkKl2Ft/3iTj2SzHPoHqOiGKPHfyKOC6qrbjCjpszvTB3WYbnhPe5hnti2uGxw+TPbPOx+6fK9Ws7W0Z0N3Xhc5eQuven54BzTyVhzBe57OW5c+Bkyk4bGhoa3geXO0a8szlOuKxWq07FBhzCTu6+hm2Vk+xWYcEzJMCxdyRl4CbsXS2IFBEloU8ALJfER3R3qPRz5tYAHFtLttgHYA6chCIBnxMqJPFJ7jP+nDAHTu57U5nz8/OOMg8lGQprVxnl0vrsExrPcYSDZ/y0eno4HLYEf8MXgRYIqwBJLn2/kBUjecXIEaiy2in3BovoGj8Hi1wyyT0Hg0Gs1+tYr9fxww8/PFGgRTztjcVnBMBGo9GT8pCHh4eyGxlZoPV63QmGOaDFuRh96todsLKiKjsyzpiYLCK65S+Q3sPDQ6eXjI20CQXy5Tnu7+9LBgPSJpvhnTCtnsiEkZV2zDFjtQIPkqPEdTgcxvX1dURE/PDDD805aWho+Enon72zkev1OhaLRVG3emMWK7ZYnA6Hw07fFi/8R6PRk2w2zexJkvT7/ZhMJnF5eRnT6bTTiwxgF0ejUWeHrslk0iltxxHCEbm9vS07YhGMY6HPcR4f98GW50W+EzLmGZwucw1BPuw+z46dJ6CG6jur3xxIHAwGZU7yzo80j7aizuN0rzJghVjtZz6Gv+FbvmsnyRoaGhqeAwEl1sTL5bKTNIk49ujCbmKvHbDB18HuOFFgn4ZkDQExdjF+8+ZNbDabTpN9fKVcphgRxZfJG7VERBEr8Ewkj7zuz4Ew38eJnpw4cdALkISHY5xkIQhnhRsc9/Dw0CkDtY9gxRvJDVfLkPBCgeweyVlJnKtqnkNWHXM+88p4WyCs4UtAC4RV4CaFLDbv7u5iPB6XflsR0VmIYvAwjFkCHFHfXRHDyKKZoA+Zf5ek5KBQrXQDuCzDDkeW/ubrWhUAMOQ+3+N0uWU+1wt8jL4DT86MuB9BDhrmBpaeOz53toheOPk585g8X5wLseUyI46xo7Xf72M8HsfFxUX88MMPH/LPq6GhoaEDL+ZJvOSG9ZlL4BvbIoC9tO3CftG3C55CHUAQKidxcqDIDoaTGdnhYFxWEfgzl9JYoeWx+l4OkOX75cV8RHRaDhAIc++WXPpiLvez8XL5EIC/fC3zTB5TDvA9h+yIed2AIqEFwhoaGt4HuARVEcEO+l0B84h9B3NFtvMZrtjILUy4X/ZpnDR4nz/D+jsinlzD5/l9/s6f1463X+X3a3Yb7nMQD46Bc/z8XM9zx7VrbWIsNBgMBoU3a37WqUBYLRlz6hjflyBpS7g0fO5ogbAKWHDnTDzqI2dsXU9vVVUOgkV0+1XZ2HKejRHZlYhjJoJrWiGWg2s5yJbVWA6ERTxdmPt6dhL87Da22Wnhp0nGiqrcd8016ZBGbnzJMxu+r3uPcV122DJp1IKS/J77IdgByedAdNzbMvBWU9/Q0PCTcHgXnKJXy+3tbUREUbjikJBxhgu8AUlEd2v0bC/5nGAbSi3bYeymkwir1aqc6+AWSmhv8x5xtMXukcJY7MDwWcTREeBcAkscAwfgWJydnZUGyTn45Ot7sxXsMyo6Si5rJfTb7baT9MAZoASS74F7ugw12//soDDf/hkRT376O8vXQp3Ov4GGhoaG5+CKCOx/r9eL6XTaWZ87ER3xNKGS/QwniCOO63KUtyRduIYTLb6f+Sqv/R1Iyr6XE9X2AxxMy/aX47h+Pta+BfepqawcmAMu07dPUxMj+G8rzTxGvgc2D8A/ysmlfN2cIKohJ2j4yXeKEi1XJDU0fG5ogbAKHJXHwK5Wq2LII47N8J0Zt2Q2Nxp0RiMiSnAHQ87xZJ05xmUYVgfgEHjbe/q2YIRdopEDTCaVvKtKzrT7ubgOcM+uiGMWyMdYZuzjXYuO+g0Hy2PJigdv12wVGQ4M84RE24QLHFj0XPv74rkhBgcn80Lg/Pw8vvvuu3j79m0sl8v3/yNraGhoiK6Ne3h4iMViERHHkm36uKB63e/3nX4puVTFARZzy3q9Lk4HQTcv+iOiOEdWgWG/ad5Ls3zDiRR4DAdhOp1W2whYeYC9dhPmfIzLTlBEkayygwQIeDm7PR6PYzabFYUXc2SVt8tDfT0Hv+yo4DAQaHTTY88N17OjaR7Oz+DETk5AeafpFgxraGh4Dg7WYDfX63WxfdkHcVIFO5ObuUccNwvzNex32D5ln+KUT2OVlZMf7s3oMXFNt1ZhnW677rnIzf7hUPtpLnHc7/dlQ5ucxHBpfs2nsb3nfk7uO5nF2FgTWJHtFjVspJMDhadUYaCmBvM8eYwRUXaQzC0TGho+J7RAWAU5Sx7RzcY6W4xRs5OCOsyGPy+OeT/iaIjzIjyiq+yqlVJiJMnke+EfcSzZxGEgS+MsBwYcOIPhbeddOvLc+TyTn93z6OvYAGPs85znDEqWIENWJnUH7/isJqfO3y0BsgwHQA1nyqbTaazX6xYIa2ho+GBklZBVu/zuTC9cw4vkiZ0Kn+tgVkR0enk5o439zLuCMUbUvC5ld0bdCQuU1LlFQI1rAEkc97fEbsOnBMAYU20ufT2u454unnP3/GTseX45jiROTqxwDZex2LnxfY3a+56P7LAwTr4zXi0Q1tDQ8D7UkiRW9xoOslvl5YRLxNP1sKtG8GnyMazNrYDCztu3IqDkFio5OEe/Y3ON78GzOrBnsQDXAlzDn4Oa/5ZFEznhbg5xECpfy/acwFpWfeVyeJdJ5ldOnDDe54JkPo4x2s9qPNPwuaIFwirA6PKfP/cmYSHqhe7j47ttha0iiuiqy5wtdgY4ops9ycoxFudWZUFMXAvSoOG+JbRsm7xarWK1WnWa+toJwxA/Pj4WEnCGI+K42yTPc39/32mkCZHlwBUBRMuZmTfKPNwomTlhDgDz64yP584BrTzHOGgOjpnA7JRkR8jN/PkceAdJ1BwNDQ0NH4Je/7jBB3YlB0iyGslKXff5wp7tdrvCNw5iYd9zZt8Zc/fuctAJG2iFlVVQdk52u11pkM+1HCiyqosxE2yCa/y8KBjYyQz777KenM03h9rJwt6jNuD5zZkeowN5OB6UizgYRi9N7pez9tkRyU5JDoxlx8n/Lsz5bQfJhoaG98EB+5yMcPIfuOQ+r30tAMhqq6wOzq1LsPfYXidUsNO2b6z33bMZjtlsNrFYLDo+jV+u5mCcCAbs0+SgnRP5jCdXlDhhbzt/OByKT8Pv5hnPu5/V3wPPap6xj8b7LtlnDriHS0vfFwSrCTQYXyvDb/jc0QJhFazX6zg/P+8opxzsms/nxQh6Bywv+u0wRByNbQ6GcTwGkZ2oHKRCRmxpsO9hFRT3YofIu7u7uLm5ic1mU3byylllG2s3d4SscHoijoqEiG5TYQxmrYwD5HMtdz4c3u10Np/Py7OiZMillsiOXarId8GxVkRYqUD2aLPZlB1nstrCwUUTdkRXBZiJPSJiPp/HN998E69evWrOSUNDw3uxf9yXUkWCYah3KVP0AjciOr2tIo4N552N9xby5gtsNKUbEcd+ZP3+u50ksW3Yae/Ia+Xu2dlZ4ZrFYhE3NzexXq/j9va201vEPEYJZFZ+AdvWzCe8rORyOwHvVmyFFwFA3odr3LOG61Jiz3OSpbdyzrzvzLy/o9VqVb4DgmKnesU4cGc48JXLWpgDrl1TMjc0NDQQLIFjsqoIO8fOkk4MRHQDQtkX8Hobe2XxgP0CbLOVT/ZfsgrLiZr1el12u3/79m2s1+u4u7srNpb7wle5miWrxcwhDiKZfxg7z+sAGXDwzGIG3jNX8rsDiBxrruae+Cvu6+mA4OPjuz6e7Mq5WCwKH1o9dyrQld8DfAb/TyaT0h6ooeFzQwuEVVBres+Cervdli1tMWynFEbO4nOMXxHdEg1nSBwkwmnAWOWsCwbRCgCcE1Rgm82mGNWceXamH6crq6lAJjPGQyAsN4jMC3+DuXJPApMmNfFk201C/M7nw+GwUwJa69VyOBxivV6XACFw5sTjzN+hx1xTbkB67CzaSKOhoeF92B+6De8dtB+PxxFxLJ3guOyo1HprwVnYKxweq8M4F7vtABWwShc76b5c8AsvbKydCmxpbojPvXP5Z4aDUvClOahW3gPsbMEPEcf+llyX/mf03yIRYy7i3i75tLPie97d3RXHLSLK+iE7JjyzSx/93qlgmNcOdtIaGhoaDAfqbStI7pOAd7UFyRaOxfZGdHmq5tM4mWyFlu02ttWCAID/YN+AQBg+DTxTaxwPHzjxQxK75tfYp8HuZ5+G69oPsd322M0zzG1OJOVSTnhwNBoVYQIBsPv7+9Jn02M4HA6xWCyKT3M4HGKz2XT81r/GF8mqtZZwafgc0QJhFbCgzQExFGLj8biUIZIpd4beSqRavxOMG3DJoxfmbvZrkrDyy+TDDl+Pj49F/UXPKpwUK7iy+okMiBfeDgr5fQw359KI2ME6pMs1w+lnQjlg4t3v93F5eVnG4wy8g1Dz+Tzm83kJPkEalIBSrgLJvX37NhaLRfz4449PSl9yKeapgJeDYVYuPDwcd5CsZfcbGhoaMnIZRkSUpvmTyaTDByiAnHzJGfmsUnVW38onZ59dVs9xj4+PZRFvVTQl8dyb0hTKF+Ea7unnsl10qY4VaLmcA/VARJSxuncM/JDLWiKeNkaGY3zsaDSK2WxW1Hfmejhxv9/HbDaLyWRSGhZzTT+zA3WvX7+O1WoVi8UiBoNBmRMr5bLS7RRv5ICYeZyS2Fa60tDQUANtWxzYcpkh9t+21mV5XvPaTrkaxn2DWXdHRMdPwG7bJruahWvWktJ3d3fFzi6Xy6KCcmIAcA+roTPs00RE5zi3hHEgaLfblXnJiipzGSWLViFHvEvcM79wZrb70+m0cA3H3d/fx3q9LjznaqC7u7u4u7uLH3/8MSIiFovFk4CVOcZj9jybX3wO743H49JjuqHhc0ILhFXgcgeMsrMed3d3ZfepyWRSAmPIUq3M8uLUxtMGJhtwZ08s7eVY9/7C0LJYdz07xjg3LM6kFnF0luycOKAX0Q3AZYN6fn5eMuoQyGazicFgULa6xzDnn/zOc+FQRbwjBTLxyHQdiLy6uoqLi4uYzWYxGAxK5mS5XJb5IThFoG61WsWrV6/iX//1X+Pm5iZevXpVykdxgPxcPjePO5Mw53z99ddxd3dXgpMNDQ0NNRz271RF5gHs+mKxKIGf2WwWh8O7EvLlchn9fr8kbezgZDiL75KVzEG5+TpZa7gGxSu7E3MNHCFKAWvqrKxWc+KIY1m8u/QRZ8Y8R1mjA2g4RS6DrzlIEd0dnx8eHmI0GsXh8G6zE/f42u/3MZ/Pyziurq5iOp3GZDLp9HBBBUxQjcTQ73//+1itVvHjjz/Gq1evYrlcxs3NTUlS0aaAccL7Lj3Kqmp42eehYMstBBoaGhoijvxAP8FsIxeLRYxGo+LPoEpaLpfFvjtJna8bcQyc1IL5DhRZWRbR3R0ZrsEOEjTKz5BtHf6Mf1ot7XHUfJo8VriS6h9s+m63K8o0c43HEdH1IXkmgpGTyaQk5xnreDwuiSj8mclkUhLsiBrwSfFL4Ct45l//9V/jzZs38cMPP8Tr169L4NCBMfOmg5y1QJnndjQaFc5raPic0AJhz8DqLsAiHtnqbDbrZAFwJiAOZ9MzTBiWJaMAyM5DxLEXjANh3CPXoZ+CI/75OV0Oku9fkwHn63J/Z6nd94Zx5mCSJb/M53a7LU6K+7PQI2w0GsV0Oi0vyiNx1CANSA0nCiLa7XZF0Xd2dlbUc1ZQcC2XC7mvmJ/BPyeTSZFxNzQ0NJzCIZ6WtWEDc7N5cw08lB2AiKeN2COeBrzgGpcO2kmIiFJmjgKM6/s8368WjPNYsPUkDHwMHEOPFb+8eLejgsPk83BOakEhxpHnz1yR2xIQiDTXMDfePZMAHufO5/Oi6CNIxme0Lcjz6XG630ytnJLjPOYWCGtoaHgONXWQg0/Y2vF4XGyQK0iAlcwg22hXtmSfxtexT+Nel1wn2/8PecZacsiKtlziWIOT4Van4dvlxvSGfRqenTJUl1seDofim8Azk8kkJpNJ8SWZwxpPuYUMG8owvuVy2dlMIPt0Lpl1RUyek8wzXiM0NHzqaIGwCrKMNpdaUP9tGa23vLWM1ZkUG/asAhsOhyVIY1VYxLFE83A4lB0g3aQStRRlHBHxpL493zOiu31yTSWQx1BThPkazmwTYLL8muBWHkMu83HJCeqv8XjcyYBPJpOYzWalpIVMFnNtErcaDSXfixcv4vz8PN68eRPT6TQuLy9juVyWvi4RUZRoPD/XcVaJ589qscvLy1IK09DQ0HAKDiaR7WUB7vL86+vrzqIcO0ym+P7+vthwFr65zBCOoJTdZSpk2x30MtfAM4+PjyWow7nwSy0Bk+06z+ZgE0kkNwGO6O4wybnYW95HEeXeXozd/Mb5nhucBsYZEWV++J1SFYJgJFKYc8pzeE6+r9lsFpeXl/Hy5cs4Pz+P29vbch0aPpPkuby8LGNdLBZF9UDjfnOYx2qHs+0g2dDQUEMOsjsIxDodxRIbVmF7WUdTXUJpIIkXK3e5JgGwzDOuNDE/ce28xo6IksR2UCpzTS0pk4N93jAlIjrcYP+lNkf4ehY2uA9YxNMdIe3TcM/tdhuTyaQk9LkHPo05hiQK18K/4fuAZzjv4uIiIiJubm5iPB7HxcVF3N3dFQWy54CWBvioVpbnXm/mSgJ26/W68UzDZ4MWCKvAQSBH8/nMwR+a3zoYhayYz71jlI+z4eSe1OlznJslulwzOwwR77I6GFSug9Girjwb+AyXhbiHlgksy6oZZy71wDHDieF9HBEHkvwcGO3lcll61NADLCKKk7BcLuP169cxHo9jMpnEixcvSvaesSPnhbS2222Zl6+//rqUXl5dXZX6d2e0FotFrFareP36dSm3JDvCc/F9+JmQVV9dXcXt7W0jjYaGhirgDIJFdhqw971er9hxb83e673rk0iygWNcDhnxtBk75XzwHDacQJjLIXN2nb5UODk4Tad6I+asvJM1Ed0dhOFNkBNJOfhHOXzEsdem5/Tx8bEExBiHVVMoITabTXGmZrNZR8Fwf38ft7e3pUwVviDRRNIHTodruM9wOIzf/va3cXV1FbPZLK6vr4vT57XFzc1N6e/iTD3zzdiz6otgGt9D7g/T0NDwZcNq4Jy8tYqWgFhWGGPrSJZg39wDy8Erl3m7lN5llvZl7BPYvqF0onTQCl3uecqP4acTHZ4HK3l9Ds8EH/ozB/78vrnslLL6cDgUn4YSSXyI/X4f6/U6drtdOWY0GsXFxUUJBJLwYK1g/5DPvvnmm+LTkIzPiRp4JiLi7u6ucI1V5+YQPzutaWhd09DwOaAFwn4CTBwgS07JuOceKvn8mjzXpYWQC+e7Lj47BjlT7OxITVb8nLzYpSucj9F3qeep8yCAmgrOjkptsW6DS6Z9u93GcDgsDovn3JmK0WgU2+22oxKzg8Z1PUaci+vr66JWo1yG52TulstlLJfL2O/f7ebmElYrKjwPBCXZzaWhoaEhoxdPbTILU4AamM+8qLdy18opc4xtbeYZcw32y2pmj4HFNH9nu+5n8JhcTmJO4ZrmKY+nVoYe0d0VDOfDc+jrWK2Q7TBOxGazKTada1spwPg55uHhoaiLvZuky0w93yi99/t9J3hHUJCNZe7v70sPOObaqjteWe2Qn7mhoaEho2an/bfVxADblhVdfJZtsO9he2/bxBqfBL/9Ga6VAzDwjO2gucf39MsJFGypA4KZG827fJ6TD76+E+I122ufit6QViJHHDdoA/RHu7+/j/F4XF5uB2BuZw7YyAWf083tCWJyPMmdWmDUc5f/7bg8svk1DZ8DWiCsgmxceM+LUQw7RsZZ7byox2hhxB38yrXW7t3i+nMHwlzLbWOUDRWGzU33a/DnWd7rHctytsbBMn5n7kxwHJMlzVY85MAfjuByuYxerxcXFxdlDsmcPDw8xGq1Kt/Hixcv4vr6Ol6+fBm//e1vS0Pl8XhcjkHSS8BrNBrFy5cvS1kJpSgRR+XZ4XCIu7u7iIjYbDaxWCzK90TGxg5oxDsH6/z8PObzefzwww/v/0fX0NDwxcKZZewhCjHsqxe1JFto0s65vB8RJbDvZIz7fDhhg3o3IjqJDDsuAA5wRp5zsYvmIK5P2ScJCq6F3WdHMXgolwNaLedEiLnapSScY97KfOtsON/DdDot82zepd/j2dlZ/PDDD3FxcVG4xuo6nsEBQ+/KeXZ2VhwSSv6Xy2VMJpMynrdv3xY1G9d1megpx8XN/hsaGhoinvYBjujab/ss2D4Ut7lncO5DbNWyuQNgs7CJrPVdlmd7nlVVWa1E8MkbiXGfiC5POAnCM5N8cMKb83LwzgE5B+y4nzcp4xqM3720mCN8jrOzs06bGLgaVTfPeHl5WV7ffPNNqfZh/rkOc0UpP1xDRRLjZ0Obw+EQb9++jZubm6Jgtr9aS+j4e2AOW0/Khs8BLRB2AlnhFHHsHYaRwQiSQXd2wKUM7DBio8K1yLC4j5ebIPp9k5HJxgSVjbsz7rn3GedyL6uaONfj9UKfMfA3cmWMND3ScqlhJjCyLRAiZaQAJ8b9b5w9p+EwjiJb2ff7/TIGB9G4H9dk7OzSAhFBIBDn119/Ha9fvy7BT38Xlm0zZ5vNpvx7mE6nbdvhhoaGKg5xLAnxTle9Xq+z3XzEsQydQDuKWIJNBJwiohMcgmccWPMxtT6SOBFWoPG+G+1nOFHkaxF845nYYZJ7mF+cZHF5DteldGQwGBQuoOzdHGXHg+cl2IQD4ffcAyciOn3GFotF5324JuJdT0jKJZ3QgXPgxcFgEC9evOiUT5KAiYjSMPmHH37olKj4e/H36AQd5/t5GhoaGiK6wTDzTMQxGe5AOlzCMbQpoUIl+zROcJ+qTBkOh50+XRHd4FFOfORNWTIfmRsd0MoqNPs07klprrCPBcfZp/HGMcABN/uDEcckynq97ogaOMYJJQJh9/f3pfIkIoofArddXFzE4XCIyWRSnsd+FIFGgmgPDw9lY5bValWSUZPJJL766qv48ccfC89YRe7vIP/7ORwOMR6PI6IFwho+D7RAWAW1//zZQbA8FNKIiE4WmMCSe3rl+5g8MEQmiiwBNlnk6zlgxme+d5ZD15439y3LY7VT5UW4n4WFuGvsnWmAEH08xt4GGWDkcwYK4nCpJHN1e3tb7mOVhB1OyHC/3z8pb+FYxs0OYG5wSfDN5OmfjKdtO9zQ0HAKveiWpdjWY89ozm61be4jhZ3kvVr5iwNULmeJ6JbARBz7Z53iLV/fDsqpAEzm1RwEM7It5j1gdXFWF+DQkZTCocFO0+MGe+ygIOpr/vZcEyBzT5terxe3t7dlfLPZ7EnJChzs0kjvdJmTbZT613prWnlQKwe1Kr0FwhoaGjJqPo39DCcFsGVOpESc9iuyLcoBrFxV4wBV9j1yQMvKrMxdnOP3sr/k5/dYreDN6jhzjvto+vys2HXCHs5A9WYRAfacZ4djskqOe1DhArdl3uIaFlfAfYgD4CGS/ySl/D1ktXGeNws3Gho+B7RAWAUYtohjXymXFeYSB+8cRUkLPUcIltkYQhIRUbL+XNMlHBiewWBQ1Eo4SjgpODwmDAfgGF/OumeFFOMykZiMTGwEuTLpOPhGk0Yy5gSlCCaNx+OYz+dljlarVTmWbFPEMWO12+065TS5sbM3FNjv96XUEaOeSerx8bGUSfZ670ovycYTJNvv94VIhsNhXF9fx9u3b8s1cJT4t+IAqbc6ns1mRZbc0NDQ0EHvaZl7RHSCJufn50VV6t1oXYaIGgi7hD02d1llbNuMbUfBSlkMmWqXcRDQYcENf1jl5GRBdp7MkyBzjBMv7osZceQa35PMOUo5bPloNIrRaBTz+bwo58iOr9frJ/fd7/exWq0KX5hnzKeojeGIzFlWUkRE3N7eljm7vr7uNLZnfnu9XuF6+lyaa7Iyz85hLtehlYH/PTU0NHyZyIHxWgKERDV2zjafBINL0/FpAMEZ7Bi8ha9AoCniuBsvdjXvGhnxVBFmP8rJiJyUyWtz7K4VX7b7PB+qaifo/Zwk6/H18N3s08xms+Ib0g+M3+E7xkSvYebcyZzs09DTOLc4sD9zOLxrG8P8TafTTsAM/uB7OT8/j6urq7i5uXkibvAcZfX44XA4qQZvaPgU0QJhFbj8IuJpg10DI2WpqxvcYsxZZFvKyn1YuLu8jh0gx+NxCdRw3mKxKKUZJis+d1NlgkFZcpxLT2z0c0Yk9wRAPWVy3e/3xQhTRoIh95xCOMwVO8IwB1zHATxKICFqB6r4fvgOGCPSXc8v2Q8bdq5ze3tbiBEnh8bFnD+ZTMpW0FahEUwkKEnwjHkZj8ctCNbQ0FBFL94tqLPa15wR0U02mGuw1avV6onS1se6XDArmuEeEhTYttVqFcvlMu7u7p4kPxyMsjPjMcMhDnq510qtDIX+IyzacRS458PDux2DOYax5S3g+RsHjutHHPtTZhvOs8BJ5neuDS/xbJPJpPwOj1vRzTygEri9vS18+Pbt2zJvdjwI4jkQxnzZ8ePv7KSweUwLhDU0NDg5m9VXOZhke+PEfG6Pkm0T9+HlssKI6CSW2RER34RE+Gq16pT344+4dLJWlsm9c0WJfS63o3E7mIgoVRvu64UvwvmLxaKjCHOyhECdy/9R9kZE8Skox0csAVcQ/Mo8x3h7vV7c3d2V+XepPfbfz/z4+PiEI7m3S0JzwoXj+Zl5xp+jKlutVo1nGj5ptEBYBfSvygGhLPd1lpa/CWLZiBGgMXFEHI1LzsggPXXknjHl/lkuwTA4NgfAaniujMLZAQwhzkREt9lxrWSRLFCNNIEz5+PxuJCZ5b7uy+V75mfiWEh1OBwWhQMOH9+jvzcaSKIU8/cHUbFgYF5qxME59AvgOnyXraa+oaGhg150diuMiCrPOBtsZ8bq5VNlC97Mg0Ww7+FG9VaQOXtdC9TlsgxzWy69ceKCn5lfGAP3cONeJ3SscnZDe9/HnAXv9PvHzVNwqNx3zY5XxNMGyYyLgBgKgcFgEOv1OpbL5ZOAmwNVEdEpvVwsFiVZ5YbSNW4D+bNcxuIynRrfNjQ0fFlwEsR2MdvpiCOPmGNcBsn6uWbbfA98Gq/v7c+4HxnXdcljTQFsnyeP3+PIQb1sLxm7fZpTgUBsPUEw+ye1sksr2eAb5s6iCQJo8E1OIHEP+zQE19brdWnTQkDP50bEEyEBY88caSWf5ytfL3/XiEUIFjY0fKpogbAKRqNR7Ha7ThNEFunOVmclmINUHFNb7HvRHxGFFFAf4QyQXWZhjWTZgSecEGdI+N2BGTtPHqcDfc6e5LGiNED2zDjdTNhjcXbdTph3PHHG3uSIOsLBP8p4XHJIdsON9wlqWYEFGU2n0zLHOH4QAeq6u7u7uLu7KwG82WxWymvu7u6KLNrfq79vnhMl3+FwiO12G5PJJF6+fBmvXr06GXRsaGj48oBjgSKLhSk/XRJSK523SsxKWy/G+d2ZZNS44/G4NJTnmKw+Y/OPrGrm5VLyzCdWHNheOvDnAB1qXs7DaWBHX/engRN5dpS4PBvc6Sw+z0y5OuczJsrweQY7gcwlHLTZbErmHaB44Lt0k//BYFDuuVgsisqg1+uV7wAVnpv5M0cZjNFz7nVFVn80NDR8eaDagpYtXuM7Ac/a3WtU21r4yD6MfQhsd/Zp8BfwaViDO1nM2t2qLjeUNye5PNOq3oinwT0Htsw37lk8GAw6vbmsQINvGNtut+vwjEUMBK14Dx4nMW6bjH13/0/8HgfiEFcsl8tOEgu/BN/MPYqpbEGBfHt7W54N3yciOurmDObR8+ngJH5hQ8OnjhYIq8CLYowTxpJFtInBPbtsKPIiNNddY+gICrEQpjxkPp93doHCIUGxxJjo2ZIDLCyK7SjYgbLCLSvV8jH5XozJ2WiMfkR0jLkJE0fCsmST82az6fRk4dp8H8xtxFEKzT19vJVk7JbCewQVIWnLwlEHMAYCov1+P16/fh13d3cdYrUk2k6hVQEo0ZAgNzQ0NIBe9J70/qAsnqDLZrMpNsbKp6xGxiZZIcWxBLhYyOO4TCaTuLy8LH2rrJS6u7uL3W5XFr0ODJkbrYLFhpprvFDn/Vxq4edwPxp6f/nYzCd2giKi0/iYZz0cDp3sNT0sXWpjdZ0Dj+Y3WgPgTO52u+JIUdqD08GcW20Hd1o1zXwTbFwsFkWFV1M6gKz4hrsZa1aRNzQ0fHnI6qqIY+UCARUCLi4PjIgnQRBsPzzjQFjEMcHhXskEg0gsk+zGDtqncW9lOA+4ryLreSf34ZiaUs1BNAfy3E+RsVsQwLn2bXIAMCuZzSn0W3PfTvtccAXfiW24A3dw0m63KztRwsXwnHsUe+z4QowFHl6tVtUqFa8n/O/Aqjn+Hg6HHX+toeFTQwuEVWA5cF7Me8cngiReLBs5i8E1bFC8+KUhJc3ZnV3HYDo7jeHNGRE/h9VTzuRHHANJWSprOCNgp8NE4Gd3sC//rKnimCc7BPyeDXHtGbmGr2UiI4OT5b0el2XRzFuWQfd6veLk2AkkUJgVEjhVEBIOlAOJDQ0NDdGLju2IiJLx9SLT9racWlGkOgGT7WxElGQA3MXfTn7YDkdE2UQEh6DGJzgATggwHjiOTHQtgOc5MN/4GcxH2Y7n+aklfHC8HLDLDgpjrZVFMiar2VgncD3AnJpfcQCtvsg9L+EsyvWzqi6DechgnA0NDV82vM63rXPinc+ynalVjGTYRpNwwKfh+tmnYVxWoDmYlIP4WSVlO4qN5ngSDow/20gnNpygyf4Zv7vdgP2XUz6NFWUO1mXBgseVfSg+97HMiVvOmCd9rsfoYJh7mj2nCMv+1yk4AdbQ8CmiBcIqoAQDI+GFKGUPEe+M7Waz6RhQS3a9ALYBzKTx8PAQ6/W609QdKTMGlYa8ZFVsxADXxMFBTouBIrOfHQ439ncWxCDTkKXEPK/LMW0Q3TzT2RqXnEZ01XcOiEV0g2v+24aacZjIasEtMk+M0ZkexohDt1qtOo0lvauNHRfukwNuJn2yNTSX9CYHDQ0NXzYc/Mc2oQpzQOxwOJSt0M0hLicx12Af3evEZSvYWeyn7fL5+XnMZrNyPcoL3Vus1+uVpMFyuSzHmhfcK3I8HpcxcZydhRxgs6PBrlnmCGeirTaG51BdEfgjyOT7MEZzG1wInAHPjqGP4bngApwE1HTMC9dANbHdbjsJGfcsc9KlFvSyw2f1BkoHzmtoaPgyQdK+lsglSBURRYHrahfbPq+bc0DMZX/2abx7r32F6XRazmPnRSdfcjDKa3jGz/jwd2pwjzIjB7CoLrGaLCdzar3WHIBy4ibzcA4W2acxl9sHqwXvmH9X5FgVzd9WqjFHtDjgXk70+94+5jkcDofCbawPGho+NbRAWAXUeEccjSW7a9BnyqosB0ucMTllRDjXC2kMG/e02gviwEFhgc9PPs+GOuJd83kcHTsGzsI48GVpLRkcOxAYX9e0gywTdvkIhpXPKMnhOKTDDoC5+TLj5DkgFDsLubyIl+cRJygiOqoIZ34yCbBYoCQ2lwhBJpaJ8/1kNcNkMin9ARoaGhq8ID07O4v5fB4XFxcxm83KApcgkkv+CKy4tMGJl4huDykrl3KSAW7AYcI5wnnC9sNT2DY31zeHOUvv4J5tqntDun+jr0+wyOPnueAl7Hi24XCY+6INBoPCNfQU8zPxHA5KmWt4BieT2N0xH2/HkTUC33NeL7gsh2egnw69ZLITxU+rIxyscxCxZesbGr5cOEiETcCfmU6nHUUwSW4nnE8FRvJn2LPtdtvhGa/dHYjDv6DChp9ZOOAelwR1WNtvt9vORiOcE9FtjI/9554Eb7x+ty0lsR5x9FusDrOvRWKJdgbn5+dFbUyrFMbtgBU85TWA5858Yb8mB8S4ltvXMFaXSZojzs7OYjqdxv39fQlCOsH/Id99xLFUtKHhU0ULhFVgpwRDNZlMYjqdluCNDbkNKwt4DF6WvUYcMwFWjVEP714iEU/lqVlS7H4uNnrcw6WcLLS5Tw40MU5nN5gDk1dEdOS+Xuzz0w3sPe4cLKMMlPfpXwNJZRm3Jc8OIubslMkD8H04MOi593eT5dGQRsQxuOjv2EGxh4eHMk47LPv9PsbjcQuCNTQ0HHGIjr2ezWYxm81iPB53+rVgK4fDYVH31oIctQSM7TbOivtw2XZZZYv9crCIhTfcQLAJtRrBqVz2kdVMmQfMo3Zo4C4H16xgc3YemMe4B30a+RwFADtfAWy6N8Zxciu3S8j39jncx1zlZ8/KZas0CEYStPM1ayU1eZ1g5VkLhDU0fLnApmKr8Gkmk0kJ3jjhziuiW75uFZYrXgzbSO5JsIjPsyrNY3S5Ov5XxHFnRzfaz0loJ36cdIEjLFzICfTcSoZEE7adQJhtP9ev+TRwuq+JUtjCBXwPjs1zbtVXje+sNrNvZB/IfMO9GOt0Oo3xeFzKJn1vX+sU3CanKY8bPkW0QFgFGKPJZFKi/C9evCjZE6L9BJMw8ETyCTjZUEIgtcWr5cQ23jZIEMTj42O8efOm7Czl5r+U0eTssnduwShbgWWlVM7C8Hp8fCzNhd2rjCAS2WtnlmrqA5MgpaDz+TzG43HpJ4BjYufn7Oys2mPAjppVCjhnln2bHDz/dnKsVLCBp0xpOp3GZrOJf//3f4+Hh4dOUMvSYDt1jLPf78fl5WXc39/Hjz/++HP8U21oaPjE8bh/LA7JdDqNr7/+ujgpKLIWi0VcXV0VrkGh5fJ4Z+TzJiBWHrn8BBt7fX1dEisEvDabTdzc3JQNWlarVbGRcI37ZZEgcM8ZeIOEDdzp5InVWjgo2+22BNWw7fDDeDzu7HTmpAMOEWBOcPwuLy/LrtDcl9LEiK6DkDPpOGo5qw7HuAm01wBOPkV0N0SgPNVjjYjST9Lfk5XkXJ/r2SG1Qwgf1pJeDQ0NXwYIGLGT7ng8juvr68I78Mx6vS7l8xFHnsHeWCTgBHwO5kcc/SjQ6/Xi+vr6CQ8tl8u4vb2N1WpVeCa3B6AaA9uGWpny7+d8Gu5toQHBvO122znPPo2DgZ7Hw+HQUcy5OgTumM/n5flGo1GsVqsn7W5IeBA0Y8M1N9r32B1kIyiYVcA15Rf3QLVmP+fq6irG43Fpa5B9mohj0qkWDOMe8Kv90YaGTwUtEFYBxEBd+2Qyifl8XlRhLCwxXhHHnQFxIpD5OoCViQGj6IUwx+Vdt6iP3263pWl7RLdE4uLiIsbjcVxcXHQy6xhtH89CG0cl9y7xAh4Hg75ZGDs7XRAkDgpGHwfGz8HW8ajGnOmYz+eF6FyOmUkMJ8/9XiKOtfEYf+/eGNHN3thRJOvOTl2WQvNMbA39m9/8psz/Dz/8UL5LOyg4Hs4+cY3c86ehoeHLRa/XLw4JJeP8Dae4BA7VLJwwmUyKs8IuUFYjRxwDKQ6I5BIN4B6NJCRwDLBjl5eXJXDnjHQuzYNH7TjlTLfvzeIersFGYl9dLsKxOAVWz0Uc+2+uVqvCAZPJJCLeLe5ns1lxdgi6HQ6HThAMrsgbp1hZwfeGXefeEU8VxjiTcDljcfCOc87Pz+PFixeF4+7u7jrPZg6ufY9WKbRsfUPDlwsnhVEBUeHi3eqxT/wk0JT7457yaWzfsfdZFRVx9H3wT2zrXY2DTzOdTp+UVroEncQC495utx2fJtttkgzwjO0/iRP7Hfg0/tyKKfpvkSxyoM6JD8+dA1xOvucNZ0jYsB7IPk3EMaHkaiDPrxP8zBkl/aPRKL799ttSgk+SPvOLhR3mbieENptN45mGTw4tEFYBRsylKATFIA0MLsYNI4zxQrpLZp3gWMRxN0kHTbzAd2YCI8QxzhZgfDByl5eXMZ1OO9kIiCpLka2ssoNiGbEluBj73W4Xm80mIro7f0VE2USA+XMTegf8mAuaPuNIYPBxMDjGZUAEuTDAzK1l1JZ20xMg4ugkOEOPcSfoRgDTBt4qM8gGh/Pm5qZDoDhruQcPz+1/Ty1L39DQ0P+PxSjqYwIqtjeHwyFWq1V5n0V+LlEns+8gOyUelGznTVY4xupjb7Xu0hbs2cXFRSmpQCWcN5fB3jpQ5Q1F7JhEHO0ySQnuz7FWLJM95zMW+SiSOQ7OYcv4zWbTKcPkhQJtv+/2/HLZCtzAtVE020GBayK6ZY7mL0pQeLZcJokjA3+xwctyuex8Z4wll2UCJ32eK21paGj4vME6mLUn6iB+YitILNA/Ef/APYFZvztZ71JClxhGdNW09mk4zqoz+ybn5+ed3sxWGNeSAPZpsv+Ulbk+BltsfuF3fJqajbbfgf9AAI6KISfvmVeSS+Y/97m072jfw6pj97BEDe1AGCINfJFchsk94auvvvoqlstl7Ha7uLm56YgLamWaEU+TLua+hoZPCe1fbgUuvbACKeKozLKzgNPhchQHP0waNvo2VH4R+Fkul0UajJEhA41h6vf7peTj97//fVGz/elPf4rb29u4u7uL5XLZKelwMAmDjqNhKS0yagI/hgM4GPXtdtuRA5PFQNZspybiWErojMhsNisN5UejUdzd3XWCXQQACVRGRCnZRF12fn4e8/m8qPmcEYqIJ8G3iHeOEt8n5M53zzVxUi8vL2M4HMaLFy/i5uamjNHNNt3jxj11yBZdX1+X3W8aGhq+XKCEJVM/mUw6G3mwIMa2wksujcC+ksFHieussPnKtgq1kRezWRWLgmoymcT19XX84Q9/KPf6t3/7t1itVvHmzZvSHsBlLJRQYr8nk0lxmljYT6fTjj03h9YCOlnljM3HKeEaPj4i4u3bt0XNBj/s9++a42PHUTM72QSvrtfrElQj8EZpP2ozq9XgmouLi+JUwld8t1nRhYMC/wyHw7i4uIjb29vy3fm757yIY38zB/IcOG1809Dw5YG1vNez+CpWHzkwFRHFF7AtzYow9yl2Up9rUGnR6/WKOpcScmwsHBERpT/mxcVFfPfdd8UXe/36dSwWi1gul6V80gElJ8jxT3iPgB89ngkIRXSTLLms0+1u4CqSH/h2mWe2220sl8sy1/SlRCCxWCw6SZXs05CwIeBnDhiNRjGdTjvVLBFRqmim02l5/iyGYB6YL3y0s7OzGI/H0e+/2xTu5uYmlstleXYCpL6fyzb5SUC1oeFTQwuEVeD6eGcGcDQiokhhb25uiqPhyL9rtYElv86C2zDj6LAdPdeiLMXXytmCh4eHWCwWsd1u4/vvv4+7u7t4+/ZtMboRxzIMG2HLdC29dQYEAphMJk8yQQ76ARyXiCjGHTUdx/JclMLgKDDG6XRa/saxwwngnpAmBhsHxYE4vgfG5/p/Z8Hc78BlJV444PxcXl7G2dlZ/MM//EP88Y9/jFevXhXnjEUAz8McenEAYTU0NHzZoHQEkIjBVuJ43N3dlX4m2CMnaVjQY3uccYbTaLTPPTmOsju4ziUW2ClntxeLRez3+1itVvGnP/0p1ut1yXRbidbr9Tp9WyKO/GpVQlb8Uu6ZS2+4LrYc2+1SRMZNNh8lHHOGHabcJiIKr0W8Uzbn8hUCWvAECSInSeAaPzvcCa+4j0zt+ZhjHMNerxez2Sx6vV5899138ebNmzL3NcekVnbKv5McdGtoaPgygP0haY8NszKVgBWBGnjGqtaIeLJuzUopq5KtSMKn4fjcjN/rd3wQJ3BevXpV+om5mb6Vu7lFiZW12GFXeVCZ4YBX9mngLfMKXOIyRSfP3ZaGElM4BD+DOef6Vh8jBjB/OxBHsMuKN/ts3MOcje+SfUfGe3l5GYfDIX7729/G999/X8ZmPj+lPmYMrC/coqCh4WNHC4RVQPbaJYq5bwjGk7IFl8c5e817oGZIfN2Io2SYmnMW286Au4QC0Ojy7u4uXr16FavVqtN4kqCPZcEuA3SgJzsnKMQo9TTBAUunmSPuh5EmE+R+AFwzIopzQpbI/XHI8psAmRccjvwslhlbpZUl0pkgeQ7et7T47OysNLL+7W9/G8vlsiwerK5jjq1k4HncoLShoeELRi86/Vew+dheVETr9bpjYyKiwwHmGttI2/2sBDDXeBFvW8j1bNMIyt3e3naUYOY6ymTITufSexb2dqTcS8XJDwdwPJaI4w6QBJmw7wSQKMHH0ch9PXFuCJwR0LKTgXPiRIvnkWw8183BSKu0CNzxnHx3diRzSX+v14uXL1+W5s70srT6AeRgmHm8oaHhywPrZCew8RcclIFn8oYmp2xMxNE+Yu+xkfZnsEXr9br4Ulb1eo1tdSu+xt3dXbx+/TrW63WnRDyrmM1BVoq5nNC+A/4BFSHMkZVlVm3V+ho74cKYIqJcDxUaY7EggICj+drBKvsl9s94Xqu9OI5x219xUp/59vuPj+827DkcDvHtt9+WTQuWy2UnyeJgmP1bz6mTXg0NnwJaIKyC+XzeqWm/v7+Pt2/fdrKsEU8NL04Cxo1j7LzYYOXsrK/rMknvoEjZobMgKJ+oo99sNkUJ5gWzFUrABtbqNBu7s7OzuLy8jNlsFvf39zEcDkvJJc+JQ8D4HUgaj8fF2aB8hEzP/f19LJfLEjBarVZxfX1d+gLM5/OYz+cREbFYLEppikmIciL3ETBBRHR7gEFs/j6YU77v7Ew4w2PC+qd/+qcif/7v//2/d8qXONcODeoEl4x6t8mGhoYvC7lE5e7ursMFhhMsdmoiuk1sHfhxuTc2mWB/VhU9Pj6Wxa97pEQclVXYcRIaOE4uLfF4HAxyqSX34NkZD70u2SXz7u4uFotFRz2Fyplmwv1+P7bbbSl3J9DmObRjRdnp9fV1UXqRER+NRmUXM6vJer1eTKfTuLi4iPl83uEUB6+8BnCpEfNOEsQOS24ybL7mmH/4h38oCan/9//+X6c0yI5b/ndTU5Q3NDR8OZjNZhHRbVJ/e3vbsRvYY/s07rHIWp8ERU4UcLwDZHCQfZrtdtsRG7gfWVZAUbq+3W5L8oWkuRNFNZ/GwR4nArCt+DQuWSShDeAYfne5O+osEiDYe5JZy+WyJGIuLy/LBjj4M2dnZ7FcLkuPTcY8HA7LhjnwLP6H+R3fwSX29k2YF/tD5ll+z8/1n/7Tfypc9c///M+doBa8ba6x0ILAYvNpGj4ltEBYBd7limCSAyg22BjaiGPQxY0lI47kYAcAA+vFKcaH3zHcNFhkcU1GgMU0pRxc133IbMitKsvE4YwB984ZBV5XV1fl+dfrdbmOic3NmgmGYaiZW+TTOBMRx8w4waTpdFrUad7imPESAJvNZjGbzcrz0jPMRt7jtBSb+YAgc0kQht29ypin8Xgcv/nNb2IwGMT3338fNzc3sVgsOiWnOEGoLZiD8XhcHKWGhoYvE9g5FtJkvM0ZDiBhp1gce9ONHEzxT2fK3VgYx8OLZjgkq4gGg0GnrNvHmms8ThbNVtXmpEvmHnhwPp8XG+7eYbkXzWq1KlxKDxfK7Xu9XgkGwjnMOwEx79JJ1p1n4O/RaFQSMyTL2PGM6zFfOfBk1Zu5xYoIq+dQ2PGdcM2XL192nDacQr5ff/8OdJ6fn1fLTBsaGj5/EFiKiE6vyJwUtrIn4lhFgu2M6AoA+JzACsF5cw29H7GPtnGMxQpokgr4DBFR7HYtSGeeiThuDpOVUOYcK4f3+33p4djr9Z74NBY4YGMp2/S9ON4iBoAd7/ff9XQm8GflHePDp/EmAYfDoYgagJ8/l3TyfvZrWDcQXPP9mevpdBrfffdd9Hq9ePXqVWm3w3dfuw/zkvuvNTR8CmiBsAowRvRA2e/3RbWEEUBF5AV/xDFb4kCQMyQgk0Z2ABwII8PgXUlMWFla69p8B+G8UPZC3AThIFguvXTJSUa/f9wNC+cEUsDg81w4GQ6asWsLxvRwOMR4PI7ZbFbKUKg/90YGZMjdrBjDzvw6o+PgGLDDYFL1nN3f35ctlrNj9/XXX8fFxUX8y7/8S/mufD+r05x5o+9cQ0PDl4t+710gDFUQ5ewssl0qYecj4liGx/ssZp0hBuYurp0dn8fHx5J1zyolMsZknCOOyl7sqrPHZP05106TOQbuyQE7StCz4u38/Lw4Kw7EwTXwAEEtB85wwJgvuAZey7sXwzuofnOm3ko7J11cUp951LCTYt4icGc18fn5eVxfX8dsNis9XMwfNV4DHk9WGTY0NHzeILBknjDP5MqQ7NO431WtmoXj3GeL9TGl4NhFAjfr9brsCu/qDEoZHSCC59yChuAb4/GYzS/2ZWyHrZ6ijJ5zgX05uI7qFVRc8AVqYObKu1vCM5PJJGazWQmEsZMkHIRf6V2kmVt+ui0A7zEXwIKNrIjzed59mWcfDocl4fK///f/LmsCrut7Zp+mBcIaPkW0QFgFBDvc8wNjniPv3hqeXRMdgDkVfLFBx/hhSCPeGaTZbFbug2NCaZ6JCwLCWOX+KZYt2+HAaBFMcvN4gmnAxv78/DwuLi5iNpvF9fV1ucfbt29jtVoVyS+Ox9u3b2O5XBYZMOUlBM54YVyXy2UhP8bHPPG8Vhc4C+PyE5wkvi/3EvDL13NAkLnmODucVvexa+d//a//Nf7bf/tvsV6v4/b2tkPY2fno9Xoxn8/j4eEh3rx58/P+A25oaPhk0Ov34urqqiyWnXSxSouMPk6MHQNsPhzk4L4VYwR6HHRhoc7fd3d3HZVuTrq4hwwcYdUaY/QYHJhzRpzxEcTiPWfzLy8v4/r6upSanJ+fx+vXrwtP2AGhpBEF9XQ6jevr607CxZl1+Hs6ncZ4PI7Ly8t4fHzs7DhsRZjVzLw/m83K9eGMzDVwAEEu85cTZbnMh+MclBuPx/Gf//N/Lsknkkg+L683HJxryrCGhi8LBHOwafQIY61vX8RBcycZ4CSriHLgvebTOBniJDobrLCjpNfdvLISCWSeyVU6NZ8ml5Ljy/CazWYxnU7LeCIilstlrNfrWCwWZR5plUMgb7PZxGQyiaurq864vUkZY0FNBpejLOOZnBRizNmn8SYrh8Oh0weZ+SdgmSt7uJ/9Uu7heb28vIzLy8v4L//lv8T/+B//o3xPOaDGOPluvMlPQ8OnghYIq4DdTaiLx1B4d6qcXbAzkoNgue4+IjoLV2dicFTOz8/j6uqqBGDY4cXG1Yoxl7LkLHxWmZEFwcDSSBKHoiZxJkOT1Vg4NC7x4HzLmSFQGhdTquFGyIw3N9a3oooxOjhFw0+THASA8wYgRZOqA4q5rwDfUy3bnrMz3377bfzud7+LN2/edPrsMB/OWPEdoKxoaGj4MvH4uI/Xr18X+55tqgNaADtnnnFjeQdUcu8Q7Bq2iMV07X2rlQnawIsspL2IZhHv5IIVtC6BcWKJ/ie93rtSf6vC4F47O3aQCAhZDe2SG/fY5PiIbpPnyWRSAlEEBlFQ2CnJGfSIbssBl5lk5YSdr8x58GYem5/Z153P53F9fR13d3fx/fffP/k3lRVo5sWmCmto+LLg8vGcNHYwCeREsftQYbN9DOfYzmAX7WvQH4sEMEkJ+1WuosBO+tr2Y7CNvicJCu7rYJ95EeUZ634LA3xtrkFwCe5x65xer9fZCdjz6aQO6337A/hngDnmOuZCYF/Hvqh/t/LbL/ymvL4wV8Pr3333Xfz4449xc3MTf/rTn558VzUFMj5c2wis4VNBC4RVQFDJu5NgrCADjBL/+SEHB73y3zkTayOOkaLMbzwex/X1dez37/pTff/990/kqfzOIj87Ty6vtDTYdfJ+uYTEJS8R0SFCAmfeSROnjGOtpuI8l6ZgkO1M5ew7gUc3qLcKjDm1KsAZEL6vTBRWKpgE7KRl58NEbEBYg8EgXrx4Eb/97W/j5uYm/uVf/qXT0DlLlx8eHmI6nT4hwYaGhi8Lj48P8erVq4g4lo47+BLxVGFlm2sby+/YQs51/y2uzQYhvV6vBH1QQ3kR6wBKzjwbteAKNttlmR4XgSucCdtd7ocSivH2+/2iZrATB29HHFVmbDbDcRHHwJU5kHJKHAR66tT42+Pz74zD82BngXvSP8xOowOK3MPrAwc1I6Io3ZbLZbx69epJoq32PTD/zUFpaPiywFreiXQHeHKpWy7FqwW/Tvk0ORk9Ho9Lqd/l5WUZx2g0Kn0fHaBiTDlgk/2lHBSzPScIhk+D/8Hzc0+eE4VW9mk4ljHzHiWSTsRTCmlOIhDIuJzct8+TA49uLwMvwBP28wDz7QQL17UoICde7FeZzxjL119/Hd9++228efMmfvjhhyetdgzOga89vw0NHzOaF16B+6Rg1MiAO2vr8ofcj8pBGxa+NckozoCVV6PRKK6uruIf//Efi9JptVoVFRUSVe6N8fSiPAfBMjnwPr+zOHbz+tVqVa4/Go2KYWPXq1x7z33Z9YSAlktRcELyzowo4S4uLsquYb1er7NLpGXPDqBh4P1dMLfcFyJ06SnG36RN7wII2IovYEJGIXE4vJM8f/PNNzEYDOJ//s//Ga9fvy6N87m/5575mM1mxVlraGj4svD4uC/B/sfHx1gsFmUhnMs9bOciulliFtl2eDI30BcmIoqyaD6fx+9///til7O6ysGavLh1kMyl9848s/Mi8E5XfE5fRa5D83oUvf1+vwTC7Gig3PL8WI0WEZ2dkynZoaSRvmCHw7vebJvNpowVtQQOBWq10WhUHCYHqciEs15gzcD7fJeoz1zGmtcPHIs64d2/k+PcD4fDuLq6irOzs/jzn//8pHG+wVxZpdEUYQ0NXw4om7cCC/tkdZLtgitDIo5rViexXdodcUwsu3ehg2B/+MMfio3fbDalRxaVIhFHn8brZQe6bMtzgsfBPHwaglVsOgZ/4Kfg35AkMKc6ecHGXcPhsDwfga5er/ekOT48c3l5GVdXV8Wn8S7CDkKZ07Nf4+s66OUgZfZp+M7cIgYfJ3+fDv45QTUej0vj/D/+8Y+xXC47wdT8b4zvZjgcnuSjhoaPDS0QVoENvdVRvEdQySThRaoj9jYY3qkk4pi1zruUOJtNs/ivv/46NptNqVWvyVO5v9VQ+QXZYfAswfV7OevvY93nhOft97s7oGSlE8Z7NpsV4nLZJNkSnAwIEqNOxsZZFe6NDNoqCmd8/GJ8jMn9V3D+yGZAGqcyH7womeF7nE6n8Zvf/KajKswKCqv4xuNxI42Ghi8Uvd4xgL/f78umHI+Pj52eIV6km3u61zourAmicG24jONs5x8fH0vm/sWLF7FarWKxWJSgUsSRc6yOrSlkI6LDMxFPVbXYVnNKXogTNHJpfE2lS5DJfWwIdBEcs7rZLQHgG/cpszPBHPIctANgDPy0QtkJGCebnAw6HN7167GKmjnL6wSDa3D8eDyOi4uL0nag9j157ni2hoaGLwfYFieEsYlZrZvVv5wf0fU7sCO2l7mkzwkV+Id+WS9fvozNZtNZI/tnRDy5v1XP/j2v/bGPfo7c7iX7NHCOXwQLec78/GyiAk9nDqLhPUEx+CEr2xz0soosK4FrqrxaAp1rRETxp9w3zPycudyqQDYnI5iHSARkdVj2QRsaPgW0QFgFZHVZkJNJwaASlMmlJl785sAHx5JJjojSu8SSUjf1Xa1WMR6PYzqdxldffRXL5TLevn3bMd6+R02y6iCQjSZkYfJxloGXDaRJ1O8xB85w2xBi7NkFkuenoT69x2hwSZNNl3A4Y0HQi+cgMGkDzthqwTBgMnBwDsfIfcK4Vy0IxlyuVqviWP32t7+Nu7u7+POf/1wlL5ymiCg7sTU0NHx56EU3C+usNQtqN7O3Kipn47FXKKQ4z8E1jnXj3d1u1wmE3d7exuvXrztBqFpSwIGebFsdRMv9GyO6Smp4hPNwTOAcO0TwpANhcAyLfRRTfHZ3d9dRaFklDdfAgTSUJhAG9/BdOBBm9bG5xkEoKy0IdJHc8Y5k7uliJy47FT5+MBjE1dVVrFarePv27ZN/E/nfh52rhoaGLwNUk2BPd7tdp+KF0r0cKHfgx+/ZL0BN1ev1npQHOrFBmTo7WF5fX8dqtSq22f0tsau+BrYb/4f3eY+/+czrdyd9/DxOxtiXc4WIfRonclAXz+fzwhH2abzzIzziBLjnm4SNK0Xs0zjQZB/CsPI7IjqcSBDOJZA1VZf9HY91NpvFV199FZvNpvBM7d8FnN94puFTQguEVUDpnXuMbLfbzqJ3u90Wo45R839+Z18wUJR7UBZBwMv9XDBQ9/f38erVq7LLYq/3bpfB3/zmNzGZTGKz2cR2u43b29tCItk42ShCJMPhsCysXSbhXUgwZGzdi+HEsJNp8LNBRg7S+XMy19fX14VgyBYdDodCFijGnO1wcA/HBwcny6LtQDrIBRnmLIpJz+oysjl8bjmz1QMEzziO+fnd734Xt7e38erVq3j9+nWVuOiPQKlMQ0PDlwc7C5vNplOSPhgMSlIEe0MwJi/y+R2uYdGL04O9iTiqlsn6/vnPf467u7sSlJ/NZvH1118XO/7w8FB2k3RfGAfe7HhgY+HG0WjUsZeUkVglhWPA87mZMVziZvPwM9fBJhMEM9fQTuDs7KwoxebzeZnHUwE+97jBxgPOcd8Ut0twEDGrsiOitA2gBAWuwkFlXlEnRxx3LXPQkfJWdszknh4j34m5suYINTQ0fH5grY8SDJ6xggfbgx3H1gKrhznPm3u536PX6/Zpfvzxx5LgZ+377bffxmQyKT4VPENQjesYTqZ4nPgmTuT7HEQM2Gqrgp3swfa7N7J9CIJgKKWsFsPuszuyk//ZHjMuxsL3lJVbOYjnqiUn+OEX+Ag+JBAGj7nVj8fF7y4nhTN+97vfxWaziZubm067AQOuaoGwhk8JLRBWgReJGBsHUVzGwGI1q4YcufeiOuLYFwynwk4DhMTimXIHDLwzEGdnZ8UgoVhjDASaTi12cwAMMEaMbUS3/NA1+TkDASj9iIiOsopncyDODl9uVMm9TQxWFVgpwThyJgmitHork2TuO+B7mZCcrXIWyUE3zptOp3F5eRkvXryIt2/fVuXLjTQaGhoiujyTVUW2hc4Yu7TDi+qs0qLno5u92x7bUbFqmbJEFsX0TuS6jNuc4ftmRVhEdBbgtt0eE3bdfbXgWXMaHMD1GVPeACbfy71lDHOLEyw+xxn6zDX8zvPzveQkVeYK5qymxMgl+jUl4Gg0iul0GvP5vATR/Ew+nmdsgbCGhi8Hth2ZNxxQwd48Vwnh4Bk2Fv6wsgv7lpMk7qkbEaX/Fse7n5VVvPkZar6HVcZe0wPbXPs02Hjb5cwHXA+fhuf3HDhwmPsy277X7uM59Xv2RflpnqFyBr713GQfpuZLeT6z4sz/BubzeVxcXMR8Pu/0IGWcmWvgrZrv09DwMaEFwipw4MsR9yz3NXHYYHCNiOMiH4PJNVGEsfuIjbFlsY+Pj53t3yENFvJ81u/3O0Etgj65RNFOEs/ozDUZcpOXlU427nm+nBHnejkQaEKw8ssqLxvWPO4sXaZMxTi1wGfec4mQM/U1wsiwNNsqNIi73+/H1dVVvHjxIr777rv4//6//+/JLmyMB0JugbCGhi8TeeGZF/IGPIESClvEZw7yYNfW63XsdrvSkD/iaUAIW7zdboudJ0uPTXbfRvOdVbteVOOUUJbjV0SUEnhfy4E4J4V4PgfY/JnLJ+2gmcvMRdm285nLJXOAD4U09t68yfjMCXC7uSYr6MwftX8X3qwgOxTcF3Xbixcv4ubmpjMXHGcHJTtlDQ0Nnz+czM/+Db87GWy7FdEtibSCl2vvdrvi17gU3racY1F7wQ8oywaDQQnmO6hvHwM/iLEx3oijGsu+EDzDeBgLSinUWNhjq62yIIB1fPaRrNzNKufc9D5zUE508WzAAbDsG1nwwO85Oe+XfSk4mms7GOZ/E4yNQNjV1VXc3Nx0WiX434ifvwXCGj4FtEBYBTgNwP+RvTjN5ZB5W3KOobSCnTQgDGeKQQ6EMRYHnjabTcm+AIxOTRlgg0zmZrPZVPuM5RIV/sY4QyCTyaSU9LmPmnvOOGBEkIsSFRtLZMYQE/Ocs+jOkuPU2eGBuHhmfwcE2nD2vCDY7XYd6bJJksBWhnuDec752ev14vr6Ov7+7/8+/tf/+l9xe3tbev/YWWIOGhoavkx4MZqdFZwRSvRYyHpHrIijvSdJ0u/3C9cAq5G8oMYBcFNjxkQJPpzlxE8teGPHgWy+dwSLOPIpvIa9ZgFO0sUBufF4HOPxuHDNeDwuPMA8jUajov7q9d7tOOxeLiR5XILCTyvc2AgmKxgcJEMNDE+ba+kLc35+Xsp9ako6uAAO9O7RLmXk3wOcmhM3Z2dnMZ/Po9frxZs3b2KxWJQSSX8v3Nfff0NDw+cP79SbEy8OmsAF2AfzhxW72OjhcFh8FO9CaX7gHNb28Ayl+rZtblhPr96sgHUQisCT27E4+NLr9Uq5p/0Aj4fPptNpTCaTYt8tVDDXYPvxjXIPS3ydvLtwRF09HHEM9N3f33cChxY0WD283+87m4Rtt9sngcPs1znB40AlPMPvubUNGA6HcX19Hb/73e/ihx9+iPV6/cTn5bmc7Kkd09DwMaF54BW4IXxWVUV0S0Ac1c912s5C2+jg3PhadghcAoJBcjYfA032JZc9RHQDWn4ujBTXzFF9lzKOx+NiUHe7XSE0Als4Zg46uW+LmzOSdfECnN+zRNmOIHNso05WyI5ixJFYsvTXxGMCdc+3HNBivJB7/jfAef4ZcWwwCVFdXV3F5eVl6TWX4ay+1RINDQ1fBg4RVXuV4c+yAxPRbWzsMvyIY7AdW0bAJpeioyDjeuYL86JLL7JyyyWDts/leQ/dsnnGCu+gQjN3EAizcppA2m636/AtQUPguc0l/n5ukBNK5kt/N3kNkFXSNeWZr88xOCm8j+PA2sHfBeflbD3PPJ1OY7fbnQyEPad0bmho+DxxSiEEavahpvKxAtiqomwz81rbyWqCLeYugkAE1azudbVJFh+YB3MwzmphOM/jtHKav727I3PghD6JILiE5EpOMjnYZhvuuWNe7Rs6yVHzE12tUms7w32YGwe64Bn7NPnfRE5umXMiovR6pm1C9j99XuOZhk8FLRBWQW6Y6Pp2G6RcshfR3d4XY2cD4WAHhuvh4aEYKSS6lqg6uISBZLGLCsvXwxC7z4qDPZBODoRxfQekTKBkaXB+XC7Je1ZQkeVnPGwXD1Fxv9wfjGP8XM5wmDxNqH5+Bxgd8PJ36kAWzpTVcKPRqFwflQDPw3kR3YWCA2F8ly9evIjVahU3Nzedfw8mSIKOi8Xir/iX29DQ8CnCfBLRTbbUgmMu1/cC2EoiXxc8PDx0dujNZdmHwyGWy2UneMR5DhY5Q51VuTkbnZVuXnD7ubnmcrksjg9KrMlk0um3MhgMis3G6eJe5+fncXFx0Vmku3zUzgtzaa7J/WXgW/qikORwpt4JIavGazxkdRicynko82plJ/l7gkddCjqfz2O1Wj359+JreCwNDQ2fP2wrnGQwN9imW3nsIHwuS4zoBukd/LASLAevsKm2UzTIJ8GfFbNem7MWt00miMb6uyYMsCLOPk1ElN9Z9zMPToK4NB8xANdzGXv2aayUY86sWnOZPMe6soXjnPDhOgT4sk9jX4wxjUajTr9Ogns1MQV/278ZDodxeXkZ8/m8bOKTfVzG5eBcQ8PHjBYIq6Df7xdjGNHdkcpSVQyPI+qO5Js8+v1+KZFwICgiilPCiwCTM9AugfFOljTJd9bEOztGRGk+SUbfstfstDjQZ6lxr3fc7t0yXgwdJENZoZ0inI/5fF7ktPQIMHGS1YEI2SggS6EtHXagkmt47h28hJRxZPwcPAvkNRgMYjabdbIq7qmWsx2Hw6EQDTtg8u/j66+/jsViEa9evSpE7SzS4XAoEvOGhoYvC/1+ryyo7SBYUQuw19hbHAEW2ezOyLG2+5w3HA5jOp2WQBh2KjdPxhGy8siZ+uFw2LH1bpScFVZOqGS+yQ7AeDzulGLCCXANthNbbdtMD83r6+u4vb0ti3UnQXAwGPPj47tdJbk2PHd+fl52luSZs/qNZ+BaDqDZcbFqATuPUwenMWfwzuFwiPV6Xb7PyWTSUQ0wr1Z+X1xcxGq1iru7u8KxPHtN7dHQ0PD5A7tm++4WIw4YRXSTxtlfsUoYvqr1aMSfoc0IrUkcEMMmucqF5L7L63KJof0Q7KA3H8uBHexx3g2RSgzGQ6KI58BHMU/iP7AjJP4D/orvF3EsS+XeXNutZ5zMMMfUglL4D1ZScz3PSfZVe71eESNkzs3N75lzV6i48ufFixex3W5jsVh0goP2aZoirOFTQQuEVWDD4rptOwQR3YyIlUIYEhsrK8VspK0EgzAcSXefKjs2GFUHs2xUGSPBLL/sOJk0GBPvERxyBiI7A3Z6sjwXY2wiw6nAGfDzOHuft4h3aU5Et+bdQSXunb9PE6JLVvI82FlgvHm+WDxk9cZ4PC79bCaTSSFn3sPB8pw7WNh6hTU0fHno9/olU+sFNzYoB4+sgLL9y0El20NsFRnvXI5uLrKjkjPZKLC8aLfay+f4PXOebS0vFuPOYOOAWCnsTDqfm0NcjgJ/OzCI+ho4AAicMGKOHbQ6VUbCmPjMmXrUAnk+coInf29Z2VDLvMNP9/f3nZIc7yQNzG8NDQ1fBvKaFjtYs8XAtoPPsrKLn7ZnEccyQzekx4ZS4WL/yS1g7Cvl4JA/4zrwjf2Dmk+D2pZrWQmFXwB/WrHs5AH3wmez4ICkCnPiahXzImPK1TFO8juYVkscwcOsBdy30jxp3vD3HxFP7m8ucc9OBxEj3vlu7n92KoHfEi4Nnwqa510Bxt5ZegwexiaiW4vt8zBMDm6gJHJmnIU1mXk3oHRTw8fHx9K3heAKr2z0bLQzwVg2nBfIjuLXpM4OdtWcE2e/3fOE3mIOLuIkkCmJ6Paa4Zo4MWTbWehHRCm1JEiXHQwAeft7ZFx8nr9XxsmmAA5mmpydRUNBdnFxEdPpNHq9dyU+6/U6JpNJacS5WCyeBB8dxGxoaPiy0Ov3SiCMpAs2lQbwzlo7Ww/nWPET0VUQ24mZz+clUOIyfC9YF4tFWRxTbkLGOOJoU7G9jMmLfSvDrIDFnuekAw6KSxRRrk2n0xiNRp1NTiKilKaQYKApPw4Ti37st3kUDstOD06LnTJUZrVFfT53OBx21gNwlwNPTrxYoeYemozZ90TxxtzzbIvFIu7u7sqOn6iSa2X2VsWdCuY1NDR8XrA/gS+SA2ERT9t8OKnuJvDYDtt5+x5Wg+HPuCcXa3D3RfQmYvZRsoqVAJh/mn8MB6KcuOY95sa71jswhG2GL+E2+3iAgJEVxp53854V1FYco+iuJTyABRb4kQSscoWNeYbvkHuYu+33OVjHM/b7/bi7uyvPQHKfFgX+NwRyYLWh4WNF87wrsEwU40SPEstKLcuFFACGxUQScTRoLsHzy8olG8j1et3ZcZJAWDb83NtE5Qx3DhblxTDk5+BS3pnMRpTsu8nKWQurx6wSsyOUsxJ8bmNvFdx2uy3ZGPdXyZJfO278dKDO5ZzuS+bvyKWeOEYQCc9HduT6+ro0oH779m0ZKwuDy8vL+PHHHzvfg1UKLRDW0PDlgSQGm4+woy+2iUUzCh+SIfAKdsOKLs7BnrNodSDF4Jjz8/NYLBadEhUnLIAXzLZl/vw5O5yv5QAUfzuARRLEAUB+Z3dIxm/FwuFwKMEpL/BxvrLy+HA4xGazKfZ4vV6XeZvNZp2xw1PuLwk3MqckVQj0oRLLPAinOGhmpQbjdoIG7vzxxx9LqwSCZdPptCSq8lxnTm5oaPi8YbUU1QvYS/cRxtZGxBObCZxwMVgL26/JJdlONrsUMvs1hs/Pfkn2f5y0dyAImJMc6LJ/UuMZ+zQODuWqGM+VOdIcyHluy0JQjPvnwGR+jlM+DXNCkNOKbvsyKJS5p9cDzIt90MfHx7i5uekor9mcZblcPhmnOZxNxxrXNHysaJ53BTWDg7G0wovIv2WunFMzXDa6Xjg/JyElWIOcOWeWMyyB9q5cucQiP2/t5XGbCKxc4Bmyc+UAIPf3NstZmVYz9jmDw3Eu8/Rz5YBjjbyzWs/E6nIeP4dVZYzXmxHgnODMONvD+HK2J6vYmMeGhoYvDIeunbUDwWLVpQkR0eEb4CbGBGCwNXmnRGyP/8aO00vGZYU1e1pLcuCsYAez7ca2ZiVCLvkABAAjogR3nDSKOKqn+v1+CXqZa3JArky7OCdzHJ+7pyb38JjJpvsZ8/xkrnEA0fPD2gBHkKAV13KGnj5qKCmc7OI4ru3ndnCtZesbGr4M5DK5iG4ZI8e4wiQHNeALgF2y/cytWTJsF916xuMErNcz13B9l5zbZjsYxnteu9vOcx6BNYI8VoIBt35xPy4S9PZpvMbPyqxsf80zTlz4+zJv5PnMfk1Wx2WbDzd4vZD9UN4jiePnc5ArB+085/6+c/uBhoaPCS0Q9gxszLwIzdlrFsl2VEwSEEhW/XghmjPoNtws8DG6XMMG38Eol7zkvmCnDLQdlFzq6WxOzlojk8bR4j7eXZLsDzvCkPlxc2E7Bdk5gTwYn5snk4GyM8Q18mKfeYw47u7oa2PwPSdcG4JhnieTSSlBYa5Ho1FsNpvycr8DnBfuZ8eMZ2+BsIaGLw+93ruSOprDs7CljBxVFn1VDodDRx0Gr3hXRQfWc9mKbTxwkmU2m5XrLBaLjo2MODoEBM2wZWdnZ2WjE9vWzGcA+2c7b4dmv9/HcrksjoYTDuYaZ+4pk7SC2r1kWNwz7zl7bQVDztp7ruEnOyi263wHPCPc60ChOS6im2xzwoWWCeaH0WgUq9Uqbm9vY71el+fzd4H6rKYCfy751tDQ8HmCRLZVP7Yr2afJm6W4GiT7NNiTnBjIgbWIKOthJ1BcZcH14EFerNu9SYwTDPajgG28g2DmMTgGDoEnrDCGz/js4eGho56G+5jbnEjyHDp41ev1SkIDm53L1/0zf5/wmX08jnPrGeCkiv/2eOwPbjabsskZfML5Tv7nJJe/w4aGjxktEFYB/4lR9UQcAz4mA7KwziywKGaxHnHMctSMmz93gM1jYQFP4/a8xS/Gxg33vZjGcOUgmwnDkf6cZeCaGDwcMoJiOGxWgNlQui8Bc5br0rmmMxrIb7MCgN1ZMPqu72duGZeDl4BxMn6cCuTZGG5/L+PxuJAbpSeTySQmk0l5rpubm46827JoE40XI84UsTigxKWhoeHLAH259vt9KXvDlmGPxuPxk6ALPUawz94h0qWFdk5wAHLg3QmIyWQS5+fnpRyCBrpeyBOkcbDfgRirwrLSIKLbv8xqNBI5vV6vZOix6TgMPm80GpWkSMS7xb+DYM5GHw7vdmKEa/iM56F0BBu9Wq3Ks9zd3RU+YT0QEUUdTd9Kxgq/rNfrOBwOxXmyc+CAJZzL1vRwzWw2K9/Her2O9Xodr169iuVyGZvNppNEyVn7nGzj346DYY1rGhq+DHhnRdbU9mlyX0Nsd8SxnYvfy32psC1eOzsghPoL+0RiGm6jiiJzjPsmR3RbuDj54MQEfoT9kppPg/9hlZnLSDkfXiLwtNlsypgdXOTZ7OcACyrgGhJbDiQ6Ac+cOkBmpVpOotsfYmMvq9mYC1TFVA6RcOn1esUXWiwWhWfsx/pZzs6OrWXs13lsLenS8DGjBcIqcBbXGYyIo6GvLR6zs5Gz25zv430/jrME1gErZyMgCBMZgTAMNuOHbLIyzM+T6+Yxxi5/ZDwY7ex42SAzxslk8sR58XHcN2dw+Ix5whlyQI0GyZxvcnCQz5l4yBODbzkxjpvJz5kvB6ycLWLhQGaezMkpVVpNlcdn5+fnncbUDQ0Nnzl6xwBGr9crpYkR0eEC2xJsltW4OZPrZIttGDYrl7o4SIVtHA6HsdvtCq/YNloRxlhI1uQGutzTi+ScGa/1MLNzVOsvyTjgw8fHx8IJ3Dc7TM6aM78OiFFeSaCRABzBKTtJjNFKMubfWXm40o6ox+HxeqdiczAtBu7v72O5XJYebpxntUZWm/nfhctzGhoaPn9gj5xkd0Ajw34F9sm2n2ueUppmn8blgrzPOfAMdpb3CTqZe4CTHuYE210HxRhX3owMDnAPR/ce8xzY78qCBY71s+UqF95j7l0dBM/BEXlu8edywNE+jRXFvJeDkj7XymYH37juw8NDSexnnqn9NLJf09DwMaMFwiogQm4jimFxLTeKMV4R3Si5DSNGgWtzzRwsc8N3Z3d5nZ+fx3Q6LWN15gRCoQQP9RbGEuPN7/z0GJ2d5lqUOfp6PM92uy2kZKUBu4rMZrPSyNcZmYijk5dLQk1mzAE90iA+MlaopyAwYEUC34tfh8OhEBrZIHrR1Grxc/mlJc3r9TqWy2W8ffv2idrNROrvi+/bzhjfY3NQGhq+HPj/O5lZ9yxxMsROBSpgq3W92AUoTen3kXfliujyj9+fTqfF1lMGATdaAeVyFdRUueG/uYZxYadp3sw4sZGorbyLY160T6fTTuNeuAbO4L5cw1xt7uHY8Xjc2bCAcwiEme8jurt4ZVsfESVJ8/j4GMvlssMPVg3De2Tzec9BwfV6HXd3d3F7e9tZL2SHJJfI+B4ktuz0NDQ0fL5w/0bsTO4nZd8mq5k43kEN8w12qubTcG0H6XOgBB5xIhofBP4CTgLBkyQNXCrvYBv3YaMR+0goiDlmt9uV+9lPY4fi6XRaEt5O5LCWx647wW8by++0uzHvIhqgvUy27/ACz+UX77lqh3F5Expfy9+V2+nQygY+dXIenmENkhMuOdiZWys0NHxsaIGwCjabTace3Fn6/X4fi8WiEy03aTiTkrMnbryLkWNRn42U5bwRx4DQfr+P+XxesiQsbCnXs4KLxf1gMCglHizwndl24MnlL0iSR6NRcc7y9sY4LjgxngMThPsJ2NGyUbUqy6g5Ghh3noMFPedmIszSYDsCOB4E/LI6IJ8b8W4RQPkNgT47mZaM8/3wnUG6WT7OuBtpNDR8Odg/7ksyAXvk4D4KK/focDIl4unGKS5vgSe4fl48Y3OxzyQEDodDXF1dxXg8jslkEhHHTDb3N9cQtNpsNiWxYN7KGXpzFRyD44N9tbqWrdpJ5hAEpF/jdDotpe6z2SwiojgW2HPKRSKiBKfy3GGvCegdDsedJOE295J0oM9ZeyvWrOqKiKJwwKGj7yTz6sDk/f193N7exv39faxWqxKEc5CO78bJJkoxUcjV1BgNDQ2fP/BTWAtbEYR9Q01L/0mX4tUCHhFHJRNKVvsPoOYPcS7XwndBjYsajICVFc8EvbDJ+DSoumr2nPHT1xe/hblxwmQymRTfbjKZdPwH7KoDbvZprErL5ZJ8zk8nIpgbt9txRRLHAwehPM8cY9/GfGXOZu7xEx0Ac4/jXLLqnm34NU5UMZbGMw2fClogrAIHU1x2wWcEgxzYiugafCuBuB6LZQd7cpTdGZga8URE6Yliozcej2M+nz+JvuNIOPudlVG+H0bS/VoIBmEUue7Z2bEJ/nq9Ls6S5cY4cFlGzDNDeg7GOQjogBLPkGXDlh1nSbYNNPfKhhkCjohOY2VnwUxCEAflMvQEs4KDeTCJQpw8S34OnrkRR0PDl4P94WhrHCwhGOS/vbiO6Ga77QDkDHxWe9n+mBNyv48a17AANmc9Pj6WhsHc31l7xuEWA04U5NJIZ9WznSXpwFh4Bpw9Z7dBTjBFdNsd8Gw8E89X4x3zjdVdcIdLT7ivlWy0NHCpZ3aqnByyg+Lek/5OGZ8TUO4vk51DP3dDQ8PnDWyG++Zi/7CxuRIlB/X9e7aH5hIHQ7IqNb+HrYNn3IJkNBqVfplW11qRm/nQHMe94FT8JKpc3NqEc+Ga7XYbm82m+DQ8sxXBtqnmYfsyORhkf8b+nY/hvJy8sIrYz53nlGcmsW//L+IodvB3xvO5fN/KQPtW2afx91PzaRrPNHzsaIGwCvhPT2ngxcVFMYhkYa0Mc0bW6idnoE0QOXvsRboX1s5kkLHhPmRKiMhPp9MSCIs47oBIdp7Fd6/Xi+12WxoGg+yUnJ+fx2w2K4SRF9+9Xi82m03c3d11nm0ymcR0Oi3ZJYJkSGyd4fe9nZ3iMzfKtMFnTjPhOLhnouWeZDP8GXPpzQ2czTFpcB8HwdwXzOrAPKdWhGUC5roRUciroaHhywAL0MlkEtfX19Uyg9Vq9aRkhYWonQlnZZ21d3YXu+QkjgNcqGJRLk+n006AiPISbC3Bqbu7u9jtduWZIqKjZANOBABzGWPmGii4bm9vyznn5+cxn887Thzjpjk9i/nctgCuQQWH2gwHiesPBoOOY2h+yg4Mf7sZ9Hg8Lp+hlsO5I9CGmsHXxMlibnkRCOO7dKkn/zb8PToYxvVzcLBxTUPD5w8HPFDMOrmPXVutVh0OYY3soMfZ2VmnbyPAD+A+EceES+YsrmW7hb10f2HzDMdut9tiO7kOfYsduPF4qfq4uLgoPoX9MCuoV6tVJ3BFI3/bY1qi2PbaxtoXcQAp7wJsn8bBJuYz22vgRJN9GidV8Gnw1azq8r8LJ8oIhLm6JQfEmBcrwkiAcU1+Zs5paPgY0QJhFVimSoDj+vq6BJmWy2VZ2AIMNcYdw0vAyuUMgGAOWXgCaRgrAk4RUYzu4XAohhyjSn8Ub3vv7XxNLBCEswDOoNtQs2A/OzuL9Xpdxu1su3fFYvE/nU4L4eCcrVaroqSzgs6ZKeYREnHZiwNEVgLkUh3OtZzbmfFs+JE5cwxGHcNPo2OPz85HJg1nT0xsjJk5OT8/75TXsKBogbCGhi8LveiVXSMPh0N88803JzPLEdF5z+UrLu0mIAWcDOAa2ByugV120iX37mLhOx6PS5KAnQsXi0VZgGPX/Bz8tOqV30lG0DSZcbpUnKQO418ulzGbzTq8RxmIs9rMFeWUwE7KcDgszqGPgR/43cFCj8VcA7yOsDPIi40I/H3gkPG92IHJ5bGZZ6zqcyDMz2DVQC73b2ho+Lyx2+2KHby4uCg2gFI4bHpu92Kecdl4RNenwVaxJnfgxNcgIY9tJEmM78E62eXirrzwhiLYdp6jpo7Frk+n01LhQouSiG5ZIQIC7Ck+DW1mqBhxI3nfkznKgB8mk0nx37DHbuXi6hH40T5N7kEd8bTHp5+HMee1hP0VP0PmlyxQ8Hw56ZJV6Tkw2NDwsaIFwp4B/TVYdLtsw9lljgVZBQRsePjbtds2hNnI1co+TpU71GTENtJ5cUxmIV/DGeOcvfein/t4ty4b9vzc+T4us8nyXggsL9pxrOxYQBpZZedrW/7tuTJpWLFA/wMbc2dJ/KpJxbOcGAJE1cbcmrwaaTQ0fFlg04/D4RCTyaQsLMnOe2HvjKvfxzlwqQh2y1lyl3G4bIIFMGOJiBKwzwkLbKlLvR1scTkKttUK6BwMs52285QX/XAmiRnuxYIc1MozzDWePxIgTlK4jMTlOozbyRXm0p/zHTibDpgP8xeqPZ6Rzx3scslSjV/8vZj7eGUlW3NQGhq+DGAn6G2Mgpi1tZMUNXVSxNEe0xMKm+IKD9u6XKXhRD8+DbxkVVSGbRtr8lqwi1duDG+bmH0aB2u4DmNkrrg3CmErd3OCyokI21fzpX0AYE6q+TCnfufaNZ+GY3M7FieHLAzw7zkQlr+PWmDO/478b87Pk6/V0PAxoAXCKuA/83q9LuWP33//fckMWE00n89LBjriWFIxn89LlptsC1l35L1WhNm4YSitMvJujSyYI6JDWnZAVqtVLJfL+PHHH8szQCIRx0w3L+7v4JyDftyT2n3GGHEsAbTCiQAgzofJAQJgrpylwZhCcs5sO2ORJcOZPOxcZWcNErbzwi4xOEWUlvLcKCByMIxjnEWpLSIYBzubDQaDTlNqAmG+R0NDw5cBVLN//vOf49WrVzGZTGI+nxfuQG3r5EZEFIUwO/TamfGC3TbK5ZFscAKv8MKmkrVnDHAS/ET2nBdqWgeIHKByEMwOk58JFTPl+fAHyl2cHZJUPAPzYDtqBcJgMCjqMS/W+QwFdK/Xe5JAyokYOyHm7lyKSKmmlQLeiZOxOJFEXxzGz3fnfpd2YuDtnPSBX3O2vmXqGxq+LLBu3mw2RX38ww8/FJ8m4p3dRRlLEMgJAHZbHI1GJTFvnwbucMLFamUAB1m17L+xVU7GnJ2dlVYkt7e3pSqH53KQqd/vlwS2gz/uVYy/gm2HZ7wzspPVEVGewT6JEz2M9fz8uEtzFjU4cOSWMyAniXIgz2PLiSOCk3nO4Te+f+bNwTr8Lpd65hY2jMH8YbFCfh4HGgkiej4bGj4WtEBYBRhzjMbDw0Pc3d11jFquP6fZI4vt6XRaDCm7CnoXLHZmySow9xXB6GDosqppv9/Her0u/aooHen1esUxefPmTekvAym4jj9nAOwoQWgEoTDgOByUwACyJThrOF44B1dXVxFxlE87wwRpOLDnDEUmjFqmwplvBwZzOYwJ2t8nJLZcLovkmawVDqcbIDsT4+f1WHIgDrn3eDwu34tLMK26aGho+PyxPxyDW4+Pj3FzcxO3t7fx6tWrjsoK+0NgKXOPd661Emm1WnVsKLzlLemxm/zO9eEMelTZXkUcFVo4WPBaRDcjnJ2SiOg4JTgTBLy82KZ/l5MFDgDlAN9oNIrr6+uSQMpck8fDGP1cVnQ5UeHncuKFsbunpJNOdjbsCME1vHA8fU52trxuMJeZi6wudnkN47fyomXqGxo+b1Aa53XtYrEoQQqrmayuchAMpTJBe2+GRZDFSXlskPsT23cBfh/fiMAVCWueYbvdxtu3b2O9XncCNafURy7/zwEgB/lIUNj/cjAqV39QyjmfzyPiyGXMHwplbLPt6ymfhs9y37WI7sZiDnb52Z0IYSwci5/oMkgSWlnh5XLJzDO+Nn+7PJLgKb5gDpw1NHyMaF53BRgKnBNLZG0YqDmP6G5d7kXpdrstDoKbK+ZSSgJGLoUwafi+liFDbGRjTBqbzSZWq1VxYGzcI7q1/Q4+oQiIOCrHvLDGoRiNRk8ktV5s20AzL1Yn2PjmcxhTHrODdzXptsnL0l2u71LHLC/mb1R8zpJwb/9kjHbGgK9nYoUwWBz4Gna2Ghoavgwc9t2+HO5dgu0hAE+5fV64kqF3soUX17OCyL28XCoBcikDvIDtzRzpZu7mrhzUqpX1cR0cDttA94uBM3hm80Iuc2HTFgJr2XkAp4JDzIHHn8eclVV2FmpzmZM0bDoAb1u5EHEsoczfh78zrmuHibk3Z2feZwxNEdbQ8PnDyQf3t812ioCQlaTYEThgu92WAD6KYTgIe5LX9TnZbjvIMYyTZA5KWY7BD1uv10+CbtmOwSURR3sHD6AsdjDHPcqM7NPwHnZ2Mpl0kk5ZGZxhbnRwKPs+Fi7kxEsOSpkLav4S6rDMMxZh1MbpZ+ZavOeAm4OmwBzfuKbhY0cLhFVgsog4LjbtWGBMUEaRMRkOh8VI73a7WC6XcXt7WzK+NpTISZ1BcLN0Z7oxYkh67TBYQoyRZJzr9TrW63Un0OIAjY1VzlC4BJSmlUinyZ6gACAL7UW/jbYzLmSUsjPFXDtABFnl2n2eh8CcF/8RUVRmrsXPgSo7RsiyaSLa77/bPYbgJVkqCBOy9r8Vz4Ezay5rRYkxn89LTx+u0YJgDQ1fHhxksgIXG459WCwWpZQFp8XBrPV6HXd3d8U5saLIXJN7auUgfk7ERLxbBNMcmKx6xDGIjyLM5SfAnGNnCP7Z7/elbw32FadkOp0WboVr7Gi4RMQ86A1J4D+XF1ox7Od0hjxnxuGxiG6ixbben9VUW71erySmZrNZfPXVVzGZTArH8KK0xr02gRMvBEc9j1Zc8Ixch/PsnDRFWEPD5w0CH7YbWYWF3aBh/Ww2Ky1B8GkeHh5itVrF3d1d4abs07DmNt9g+93fyxyFWgnVWsQ7HvLOkCT7qXbJyXAHZ4CVV73eu3Y37BhJwI9dNOEZJ6Vy0jwn2FG8EVi0kMG7NNqnY36wu1nwkCtjgNVm9pN8jN9nTvE38EW8CzEtabIIIwct7VfmoFZWwFlFzfm176ah4WNBC4RVwOLYAQxnXQ2IwFutE+hBDWZnBgMHaYzH4xJAI3LPPfP2tRHHDDZj8ZicwSHr4WCLM/pGzmR7AW8lE31oLi4uylbzw+GwPLOva1kwxAFJ7vf7mEwmsVqtOrsuul9ZRBSHy5kb5jw/M98RhAzBsf0yzw8JEEg0adlQDwaDuL6+Lg7azc1NR1bua7mHCw5nLvU0yTGPo9Goo5Bj3mlG2urpGxq+APSeKn8jopOYMCdgIx3Y8c68LIBzyR67P9pBsUMC4CmrZXPShPdJMnB9esZgYyOOwbKIrqrWySWDcc5ms7i6uio9SLwbpdUGuWcKXAP3XVxcFGX07e1tJ/mSF+hZpeBeMx439yNYRYCSPim73S7W63XhCD6zehoFxXA4jG+++aaozl+/fh2r1arcy31F4RsSYzynS/NzEAxOclDP32tzUBoaPm+g6DKsDoo42mls3m63K76QA/XL5bKU2tEnzOtu28LcFN5BfFeFRHQDOnmsDkjZ14LruLZtWW5/4uA/tnMymcRsNuv0dM5BIFDzacyjk8mk+Hqr1arjvxmHw6HwRPbn+LvGOcwnviLfFX7Jw8NDhyNZA1hVfnFxUYKIKLi5F2q/3PcY/8/c5u8IvmVtkQNp/g4bGj5GtEBYBd7WFmD4WDznOm6XkLDIhThykMjZExb9DvZkWWmO+HMNk4iz/w6+uDQwG6Z8nRxcczaZsU6n06LschDMTXwjjnLZbNAhZEouLVv2pgMcj6OTsyqQQ3bMnL1hLnC2TBrOfuRSVa7Ds97f38disYj9fl+Cdm4sbUUF3wMBOv5NMK98926m6X83BEnJkjU0NHze6GsxjI2oKXRcPoKNt920yjZnyr01vW2T7+n7ZJvK/fyer4GDwnnuIZYDag7QmR+w87QcmM1mJWFgDuP5sZkuQ+F6tVKNnPFGoW1HIB9vm+15tcrLKju4zJl3uNEvvjfGSEKMPp8OWsFPqJLhG98XVUFeK6Biyz1lmlPS0PDlAHuZy+Zy8Ciivpsga2d4xslbbCTrXrjGQSO4w9UneTxW0poTfB3bYmyelVVcJyf1XaIHNzBO/BoSLhFRbK7X7tkPyVUlvo8FDHkdz9h8HnNov8bPkhVpnOOqlJqiy8G2fv+4oQwb0phPanxlgQH/hrLfxecE6JxIys/R0PAxogXCKqBvB6ouw416c8bVwR8MIOdjLHBGrq6u4uLiouxSgiGy4QLOdPf7/RJ5d2AOpRHOxWKxKOP0ro0AUuDa3iHLxotzLy4u4uXLl3F9fR3ffPNNUbG5UX9WnDnbYXK1QgyjizPn+cY5yVn7XI5isrDR3+/fbSaAGoAsFp+7XxhZGtQQYD6fl3m/vb3tXI9+BdzfmREI1STF2OkPNp1OS/8eZ+OYn4aGhs8fvf6x75UDOwR8ynG9Xse+siDGOSGI4l6O5+fnMZ/PYz6fdxSoOCPYLjeR9+KeDPRgMIj1eh0R72wY/bf6/X68ffv2yW5hOQlgG839UWy5BAX7eHl5GS9fvoxvv/22k3RxFjuXbuT7RUSHJ3M7ASeGaPRrDoMTvAOyVVQcB69SHgrX5N6SZOGZp91uV75fyu6vrq7KnC6Xy3I9FGbmNwKG/reTk1g862AwqCZWmoPS0PD5g5I/1psOwmPnWDM7iUxjeZL/rNOx2S67v7i4KDwDf7nSISdBvI53SaWVYvg0EVH45+HhoePTmBOdXCEQ5ICTWwVcXFzEixcv4vr6Or766qvCMxYyWGVrXsyiAj5zS53sA/r53YfZ48rl9fmYiOOmAVzbbWV4Zm+84rYr+/2+bJJzOBwKv8BZ+HLmRZe3mhs9Lqpv8KG86UwWXzQ0fGxogbAKcApYALMTBtkIZxkiopQtWHq7WCyK+ihLWwmGuc9UTYaKccW40zT46uqqKMkcYHLWxg6GCctqN2fS3ezRklfI5sWLF3F1dRVXV1clW0/AEIJiDLXyEgguB9r8fAAiORUMchbeO3CZtN3Q0zumOMPv3ddMItzX5YksJPr9fnFgXFsfEeX7oeFmllhzXZ6VjFTNqWvOSUPDlwO4xnYb+2y7in1wMIxAie0mfbLo7/j4+FhKJ22jHWRyuR8BsOvr68I1OEAE7N1bJiJKTy4nX3im3CfmcDiUnSBz1vnq6irm83lMp9PSk/Li4iK2220MBoNYrVadgFXOlDtTnRXVttlwcE19F3EMJjEfzsrbkaMFAk2czcnY8tw3jfHyHdvBNNes1+syXkpTmDsUDLyX1WDwkEtd87M2rmlo+PyBncEmkAixkssJ2/3+2G8Qm0crk9w72VzjFie27RYMeN3PGvjy8rKolazCciVHDj5ZhYTtzwGbrHZ2IOz6+rpwDaX49DBmnOZL5i2rrswz9recNOFY+Jz587PwPdjv43lInDgYmfs9EvSyTTevR0QnSDUej8t3SZKF74rvkXUA3GNwTyuTPf/AoouGho8RLRBWAQESZ6ydQbGxgVAiulF+R9WBF9IYNKL3kId7uXAOQTmaB7948SKm02nM5/NOmcft7W0hDmdiuA79RDDSBPwyaTgQxnk0yJ9MJsUxIIhDbyzvTpblsVkVFvG04TD3y1kkZ7etdLDDlkt+yG6g3srOEN8j9zN5cn8HKSFPfocYkBejcIA0ePZMVP53g3wc+N9Sc04aGr4M9KLX6Q2ZF/wRR9uALXFgxWUqDgJ58cmC3qXh7mdYxiKV83Q6jevr606JOIvw29vbjoPCuVaYOZCHw+IydDs95gKSLPATfWdwKHgG5sUcUoPtrxMYdthALs2BY+AXJ1+w5+zOzKY4BAI9n6gccFYA93a/G+Yfh8zlSXz3BDBxWjLXk7Bj7XKKT1ogrKHh8we2EQVVrbQtq52y7bCfYn7hRZIDG8098Gmc7MBGoiQiwT6dTiPiaA9pSWJlVs0+20/KyiUHYJwEd4P8XGaOL0aP4By88licvOIYnpO5MsdYHc3f5paswspKMBJfHo+/O+7pOXMgzKIL93GDpyz2yEo9I3//Lh3lO8oBwoaGjxEtEFYBhtER8bu7u6LgcuYZJVhEdAgioluegDGkpO7m5uaJMY2I0ggyIkqgBLKYz+dxdXUVf//3fx8XFxel8eFisYjXr18X9RNBIBwkj4UX2Rf3WqmpljBgZOdRW9nwugE9RtYZdAeYMLIYR3aTtPOEJJlgkZVTJjLKfjiGDM56vY7Xr1+XuXY5JPeMiBIUhMB5HtfXuxknc0kj0Mlk0imBubi4KITCvxUWBP1+v2TjHDhjnpg3KwgbGho+f/TPzuLFixcl0PTjjz+WDVcijjYYO5MTBcCJAOwxtjAinixOrd5yuT02+fLyMn7zm9/EfD6Pi4uLWK/XsVwu482bN4Vvcl8ylzfaIcBmWnVg54gx9fv9uLy8LBy82+1itVp1khfMAffMiRAnd7CtJDLYPev+/r6jxrq/vy99GwlKmves5IZDUR2/fv26NLJ3mWdElLkkiOWAJvzAd+P2AnApzhpl/nyv19fX5TwHTq38zjuRwvVOUjUHpaHh8wfq24jjLn9UTDiI7iCWAx/2C1zBgXLMiXgHh0ik5+QLjerNMxcXFzGbzUqz+dvb27i5uSlrenbbtfI5l1e6lDInhfzq9/udTcpohcN5ToJ77LaXuUQQ/w8Vtn0ufJqI6OyKzJzii3Cuq4LgWRItTgTxLAQ4CeRZweXAZ65A4jqTyaTwNtxBuT7PmlVw+JF+9tybk89aq5eGjxktEFYBxj7i2JCQxTKBFZrX5mwsRsLlkA4qcT0He/jMmReMLkGw6+vruLy8LJmTfr8fq9Uq3rx5E4vFIt68efNk1zADx8cyWROD5au1hTFjZrzMBcaV+bEj4GtltZWdH+rymS9KQx4fH0sJiHt1+TWbzcr7NHpECQaB2EnIgTjGB9m5+b13dOS7dZaLBQHPxL8Z5sJqMn8PEJZJw3PenJOGhi8H/d6xT6FVV7ar3i0y4umOf1YosRB2GaMDTYBFPll/gj30r7y4uIjJZBIREcvlMm5vb2O5XJakkB0l8w12lEW5lcjcN+KYnXeyBC4iEGj7bEUZ988JHme+bUMZH4kmzqNv2maziclkEqPRKC4uLgq/OKGDSpvre02AM+jvxkE+wLORZHHQjqRKVqqxHmFNsN+/61fjEhnuwfP4ezVXPfm3d4LvGxoaPh/YDjkIbxuWFcMuv484JlrclzfiqELK5YvmKDgsIkqwh7LEi4uLkgwnsU8gzMF/YJtJ2bcD/BYqwHk1O8eYuaZboWCfmQsn4X0tJ649xwTm4BBXF5G4n81mT9RU8AzP4NJQJ/bzmLK/Z1/FfOJKpKyyY6zwC8Etrz9y+4XcDsEcnNF4puFjRQuEVYBKCMNlwsBYercO4ECSF9I2AGQ1XM7i4+28sPhlG3kCYWRYNptN3NzcxGKxiNvb22pgzsYZQwZx+Lgs6zXZ4KBFHLcotlHkd6vPbNgjjqU9Ntjc3005McQ4UwTCLi8vi0TXwUM3fuS7IWuCc2IH0IEnPyeEY4WDidDZH0uWrebCObGjlnsUuMTWUuL8HTTSaGj4QtA79vPwVui1DC6olaZgl/jdjokXxrY5mWum02lcXFzE5eVlzOfzUvpNIAzFse19Vqc56cJYzQc5+WP76HI+284cxHMjeisDctk7x9h2s8CPOPZJwVkhEOgkhRM2/k68czCvrAbPZa4+n0Af78Hfbm3g3pcuuYeD7bhGRCdYxjgIgjkB5vlvXNPQ8HmD//+sdW2zvG429wDbYfs0+CucZ74xL8EVlHqjBiMIhkoXdRk8Q59l93H0fSOiE+BhfBznZHdWHnOuq0WYG64PF/m+uVojJyzMsdhdnpnro9idzWZPAmskjiwc4PvBn2HMzyVb7G+5n1gOavF9MVYnXDxfud2OWwQwx25vU/v313im4WNFC4SdAAbEuwRCEg6MkZW24SOww0+CNS4lseGKiI4x4Rx6tHz99dfx3Xffld2/VqtV3NzcxJ///OdSYplLIO042KiTKcdRwfDXDBjOFI6Qsxy1c+zscFzEMVAGMTk7nZ0hDCwLfRyB/5+9f+mRNMuy+uFl5je7+zUis6uzmurq1r9HgPR+AoZ8DKZISK8YgMSMKSP4CMx5B/AfARISTOhJN3S1BEVVdWZlZtz8Zve7ubnZOwh+x9Zz/PHIzK7MyojwvSSXR7ibPTeL2Pvstdbehx02GU7srjySxXQ61Ww203Q6TSq979jCPIHc+eb27slkUrBEA29p4TlQoEi71lc2D0Al4fP0xQGfhc/RcTUrkkYg8ISw3aaFf7/fTzlCUqGIIHZ7m4bPfJSU3MLSbi5YDuI0sRax5eLiQufn58l93Ol0NJvNNJlMdHt7q+l0WmivYWZiPjvElWdJqQ3Hh77n8Zdj0WKDal62KJeKOymjRJMzADHZ4yntmYDnx+6LBwcHOjk5SbHdNxhwUjEXXWjdcdLJCSnAPdLuw7NiFg3X7YVHTvK5K5vr88/TRRvaXd6l1AcCgY8bLuoz05B1NDEMssVjpou+PlOSmY2+yYcLLqx3vTaCAGNH4IuLi1TTzOdzjcdj9Xo9jcfjB+3eOQnlpExe07gglK+jmdFI+yUCSL5W55nlecbjek56eU2HmYLzU3cQzw8ODhIB6AK6O+vICz7uhs/KnysCicNFEtYTHM/huz17XuZ+WHt463+1+nbMC/WOrwXyOWG5SBYIvI8IIqwE3m/9rt7m3FHljDiBil0ECVpOqHEMn+vBDlnemkLvO/3b7FI1GAw0m83SMVBrpOKOWbm9N1c1PGAT5PPXknhcAfHE4YmP+5FUODeJigIuVxhyxxXJw9tUpaJd2EmrfOt6v2buj0TA8XED5DMBKOTygo0vL1pyopEiiWfgDjmeF+f1AiUU+kDg6aFSrTzYOMNFCqk4j8RzDUB8gNjxmMd7OC7Op1qtllR5diKWlH53dHSk4XCY5oItFosUwyBeKCK4Pgoprt0dW7nr2J3GxHqPjxyTgkzaFXTkVMSN7Xab3L88H54BDmreTys+pBx5jOdIYeWiBUWEFxQUKU6+UaTs7++nTVo8Jx4eHhYUes9lPCNvZ8k/R97nw/5xWnjx5YOf+dy9QAkEAk8HCAXeig7cdevfvQZwwZqYS1yny4XYx3vZ0MNdxs1mMxHziB3MwfJ2SGm3m7uTcHlN42SV34ev0b1u8ZqCHOC5RipukuY5jBzBezi+t+j7cy2radzwkDu38rbF+/v7RIC5C9vzInmPZ+7CkHcteX3jz4XzUivxDMtcY16vOQnHfa5WqwciF9cVCLzPCCKsBCys89a1x+DsvKsXPsSR47Ao93aGavXt4MZarZaUeAZHMsSY4CYpKToMu/QkRYDluwdNV6o9GPLdlRAvPiDCPGj6gltSadJgke7KSU4kAS8C8qHHKP1emORK1mq1Sk4wErMnGr9X7tN3fMwTEImA++f9njDcps1rveXVLdP+/CHMynrqI2kEAk8L1Uo1LfSJoai0ubrq4kQeNzxPQI7wZ1+QM3eSPEN7CnkKUqVarRZc0bRQeq7jfC4SuMvY86EXSdKuTdCLDkmF+Ok50osXJ+J80e+5heuFFOMZUgxBPlFoeS6QVDgfyro7J3B2ebHgs8n8mezv76eB1X6tufvYxzI4ycUzzAUeL8pYt1AQkZudlAwiLBB4evA2vbJY7H92ssbjOPCaBscpa3JiF/GuVqvp9PS0MAsM0Sff3AURG4erk1u+26XXNB7b/B7cjZQLKr4OdzKI/Oo1Te6e9vNzHifkcjeuu8D4In95LvO84C3yzAXzWZAu7uc1DQKJz4r0eobnxXs9R/F+SQ/e43UUz9lzMHmVfxN+bVHTBN53BBFWAoIegbxWq6U2BkmFpJArsG6d9cCDq+vg4ECr1aowcHh/fz8Njry4uFCj0VC9Xk9kGFsKT6dTDQYD9Xo9zedz7e3tJRXfHUpHR0cpaBHQnKjK3WBOTnlicRXdk9ByuUz36ztp8Xon3KSdC8t7ypnhkrvPeL5+Da56oB6RNBmm6c+UhJyrHewMU61W0w4sPGcSlL/e2xZdRfP5PQyL9ATmSj5FohdctAKxIxguv7IkHggEPm7s7e2pXq+r2Wyq0+kkxxG5gZ2ZcKjiLCJekkdQ2iGHLi4udHd3p+l0ml6zt7eXWh8/+eST5PxiUDy7bk2nUw2HQ11dXWk+n6fWQWlHYEm7hbMr9cR1H2LvcRRwj9VqNc3L4ot4zc6MlUpFnU4nFU8eUwGt/JIK+YTX5k4HX7hDllHQuROa65hMJklogRgk1/jcUM//nDPPNeQ0nmO9Xi8UUJzfnyl5nfZRH5os7fISRR//Hrw90p0I/rkFAoGPF8SA6XSa4jy7JHp8dJLFCS+puEMt8QgCHiGamHRwcJDmTF5cXKT8wpqXmoZYOh6Pk6PIaxknr5y0ItZ5/M5zEXHQawx3RPE71u7kKmKlCwu+li9z0/Ec/TzugnZCLe9UIdd5yzz5ZDabFWoacpSLW+yqTP7D6e0iPdfNPXHtTgZyXNpHqZc8T3kdyH3R+bLdblONy7FB5JjA+4wgwkqwWCwKQdVdQh6AnPAhyOX2V2mnSFSrVTUaDdVqNdXr9UKAwTp8enqa3GFsOV+pVFKSYSFOsvEAQ9CWdrtj+e/LXFVcnzsRcuusq9N+PyRQCjOeiRNHbrd15ImL77yee3HlhATCPBZX6PMZLsCLIW/r5PNhECe7o+UKmSdjjpcrU7nF2Z113ioDucaxIRA9+fvzDQQCHz+22qm6uVtIKu5i7PHVxYa8hZ/4CvlCnNxsNjo9PdXx8bHOzs5SDKKNhZY+2vVoN4RE8esEHhP5PYVA/lpX3hku745ajuHqM/lX2olU7rh2pRx4LthsNqm4Id4jWORt99LOSbbZbJLzGsHFHWxlLSN+//7F/W6320Qq8lnmTmxIOkmFNYK32nihxz34tfkaxdcjFDn8LvJMIPDxA4HA16pO3nu8cPeYu7ZyV6nnBcQU5kghXLTbbZ2cnKQ2SIRfxA/qCmoazzNcr3ew+HePw06OSUoikneZ+P2XObuAi0ll5gG/Dp5Lnoc9pufvc8cwuYNc6/WMt3+WxXPvzvHOIHI24wPy6/Br9efFM8nrP8+N/qzdNODPgtyct2FGrgm8rwgirAQEcwKB91jnNlrIIAI4zL+kwp8J6D4g3Yfus2X98fFxmguGE2C73RbUaBJIXvxQLJQlDle6PdlxfJ8vki+2nQgk6PI8SIK0cHri8HNzLR7QeQ4EVS8ucmu0Fxc8Ax+a7yRX7jRz5ScnqyADpd2cGn+GHIPn5Qk3J6zyxOEtpPyMe+PfRxkRFkkjEHg68MV5PpsDsGj1lhWPSx7PeT255ujoKOWZ+Xyuk5OT9OWzC8lftKfku+7mZJwXKXmM83mQEEAeG1koexuFO5O9wEEtl5Tm0zBbxp3YPEtJBQKKAov3445zQsi/48CqVt8Oy8d5TK7JCyn/nLh/JzNx+5Kf3aHlSjvX4Hmd9/l58hzFs8yvzY+b5/1whAUCTwcQJS6CuzhMjPHYQgzMyTAnwqhpyB1O4tB23+l00gxkNj+RlMQFBP5vU9Pk5L23+nnO9FpA2g2+9/hY5rCinmO2s7uGc5LIvwPW8hw/f11OhPFaz7dea+Y1htc03L9/ltRTgM+ljEzzz9fbWp0Q87UJ14xbzIkw//eQ138g8kzgfUUQYSWYz+fa399PRAv/+WHsnQUncKOs+y6R7vpBEYYw8gH67qpiF5VarZYKF9pUSBrz+TwFsHq9ngIORYsHeg9g7H5Je42fn4W5D6SUdgtl324ZC/PBwYEWi0VqH83vyZMGxBckH3/n3il0eKZcE+9n/tf9/W6ApH823ibiO7R4sQKBxrNh163FYqHJZFJw4eUJ2QuU3G3HZ8HPIVJ5n7vF8padMrXJHRCBQODjBu1uvvjkZ04ieQwiXtdqtRRDyD2QPrTY1+v1FDMPDw/TTDBmtjC3EqFlMBikNu/JZJLyBXHVF9K54svCfjweF1o2JBVis4sO0i6Pkmu8NQPya7VaFXaSJE/wDMhd5BTmMLpYxVxIfpbnGp4DoxAgwLg38g/5ytsNOaYXeBQozPMkfx4dHaVdw7xY44v7Yf4Ov/d2UNpmIMHI/34sniPX6m2qOWkWCAQ+TrBxh5P51DM4gF2koA0QdxRtkMQlF7Ehwmir950EaYckzxD/FotFYZSJd07U6/WUW7ymyesaWgfdRct10S2Tr+W9ZY/YyPl9MxO6clwgcsHaYzSv85qGDbi4VvIVnTOeW3JzQU5WSjuCjbWB1xROSrHZALmczQoQvHKTBJ9zXtPgSOY+chehE565WMWxHTmhFwi8TwgirASoDNIuKfgC1FUKJ5qw4zoJgguLwIlSTlDkzwReiob1eq3pdKrpdJp2Q8wtqSQqgrXvduIBFbidFvXFHQPcA+0TrkSXtYKwwHcFw5Oku8koptbrddp62XefKbPwuguB+yHo50QUSQnkqj3JMnceYMv2czC/IFdEvPhydckLVT8/3/3Z8e+BfzNlRUgkjUDg6cDjNDEZ8sJFl7JZLdJu0QnRws+cfCc2UqB4DIPcmUwmBcHBHbTESgSOo6OjQuzLW1OYkwKhRyz3hbUTavl9ee5BfBqPx6nFBrXeFXDIO4qy+/v7RJr5zlo+BsBjOIVUo9FIbfcuCrnb2UlAd3957IZA47w8ayew2u12yoG+lnCnnh8j/9w9R/HvhWPkIlH+b47jRa4JBD5uuAPWySwfd+IuKq9liCPuLHKnrQsL/jva7b1dcLlcajabaTabpTzDtRHLiNnUDMSoMmesx3+u2Y0HOYHmMT93NCFGTafT9Lt6vZ7qP2Kr51Wf+est7d76nsdX8ke+g7DHYu9EAWXusNxNnbuQeTY+uyuHu8zdJZdf92M1jY8N8to4f28ILoH3FUGElYD/4JBMqOG0TEjFeVxOuHhQ53d8r1Z3uz4RCAn8njRIGDjBptNpui53C/l5KTJQSvi9k0AMU4TBd9VH2m0DTFD0wcOcn+NyHQwN9nvyAIlyUK1WCzuZYKnm+O40AFwzhddyuUyBnqLD783fu1wuC8nT74PnRuAnAXJdHKusOHFXBsScfw7+b0gqFi95wvP7KPv3FwgEPn5sN7vBuYgDPqfKSSPgi15wd3eXcgpFjruBIL584DzxZzqdajQaaTQaFQQfj0MeHyHCcsJM2sVtiCkvGlyM4bUIRqBMZICs457cBcf5GTaMuu0xvdFopByUt6d4Dq1W387x9JYTvy53S3Acb8/Pxyb463gtudeJOu7ZwTOTVMgXLqaQX3LRis+L1/Ms8/k7TqIFAoGPEy7WUisgTHu8lXadCk5SOYFCfIH0Wa/XBScW8DlbrLMR96lpOJ7XNJzPBQIn+D1eIdp7beQ1DfGQ2os8kwvvHjtxA3uNwK7CTvpUq9W0EzAGAvKLjxHwz4Br5pkTm/NxCH4MkLvjeF1O9kkq1Eru3s6vi+8+esHNEv6s8z/nhGIuBHH8XKwJBN43BBH2CLDotlotnZ2dqdPpaDQaqd/vq9/vF3bhIpgwtwq4i0x626pCQHClhDkkuL54Db3zd3d3hR0pa7XaA4KLOV0sjGnP4PfYfrluvku7vm8niLzF0YsYyEHex8BjEhI/x+rruz1yTzyn+/t7NRoNdTqdlJhyt53fpydTnhPJkoRLQCYRuJOL55S7EFy5Z4ZM7rDLXWFuS+Z+XBXx1kY+51zd4bP1opD2niDCAoGngUq1qpOTEzWbzTRTZTabaTQa6fLyMsUW2veIL7R6uxPWd7oiTh4fHyf31GKx0HQ61Ww2KxQBuHuJfdLbeNVoNAqtJ95+SdFCnpF2MYwWGS8cuHZyAuIJeUXaFQDkHW8NJLeSa1hkexymCCIH7u3taTKZ6P7+Xs1mU6enp+k8iBv+d78WWm+c3KpWq2mHTwogd9B53nSSzoUyciHCFLmJHEMLaz5ewFv5peKwZZ4B+TgvaMryUq7aBwKBjxfUNPV6XcfHx2o2m5pMJhoOh+r1egVHLbGB2VXSzuXkg+e9e8TdWPmMSV7P2py2dWIVuU3aCQ75nGSOR87g95zfRWXipaQ0SsZbF4nPfi7iL88AgcOdvy4suJjEtVHTtFqtghOujCDi94y7oQbLWzG5pnwWGDmZkTTe8eIkFjk7J7YQZHjmPDvqw3xumbu/8jrNhSd3hvPvxoWuQOB9QxBhJeA/NIF9f39fn376qU5OTnR2dqbXr1+n3aR4PYEuV2RZ7KJI0Ks/GAwKRBhByoM2iYJ5MK5Su3rj53fFh8U2xJUnMUmFQsWDLEHOk4YHZlQQd1p5m4sHR84rFdUXChdp1w7kqhOklidLd5lxbL8+Fv+uVjiRhouBAiUP6Pm1UxgBdxJQ1JAwaEvyoseP6e5Crp2+ek9skGxesAQCgY8XW1vcHhwc6OzsLBFi9/f3mkwmms1mhXZ9X/B7ywtuIQqU9XqtXq+XFssutrjSDxED2eV5gWPnrwXkG49bkFySUmuiK/95nPRjOTnlrYHEY3c2OOHGM/FiQVIST1w44dmlzyBTq4ntkGsuppBryhxf3AOzWfyZ+HW5I+2xeM85IbgoTFzk4XV85p53XIWn1dNd1OEICwSeBlywYC18cXGhVquVhtkjkHj9Iu3WusQO1u8QMXRfDAaDJJgTo6S3sQdhg9hLXeX1C3B3lAvz5B2cz5BU7kIrI2zyGOxx3NsUc/dv/lXmxnKBgxjtJJULRE5EuVMKEYPfUy9QOzxWCziBh8nBSUGvy9w15nmZa3N3l89Oy3cW5XjuivYW27Jundx9Fwi8bwgirASovASaw8NDnZ2dabvdpqGK/X5ft7e3BYeVK8MOAgukBww7AYLiZLPZpBkoh4eH6nQ6ajQayeklKR2D4EhCIACWEWEkDGanEKQhb8bj8QN1Obfb5kMjPSm4Cu6EGYE4J8qkt0HRiwyOD/EFcejB1xNObs/24jAvEqRd4uV1qP0sEEg8nhRyx0D+ez5LPlsWBKg6njRQbjzhMqzUPx8Iz/zfUCAQ+Dhxv3mbb4ijx8fHknaO236/r5ubG0kqLFZ9wS/tlFcnOhBeIMJ8wc0we5xfDNc/PDxMqr07Vp3o8QLBHWTeVklMrdfrKUaORqNCQeAijhNt0s5dxrm9fSZvUySmck1OUtFWSRFAy05O2CcAaAABAABJREFUsvlCndg+n8/TcRFS8hzA9eXPB2Jqs3m7UQt5y3MlucjbPfPcRY7y3ZL9vHy2nsPIP/wbID85EReFSSDwNOBt7XRGdDqdggNqPB5rMBik4flOhBCniE+Qal7/IDQgfCCieE3TbrfTGBhmYfIFiI1clxsSPH76mpy4zvXihgbvqmmInS5yE0O9tnHwOwddHtQsuHrznSfBYzWN5z+Qx2oXgngu6/U6Ocvc/cb7nczkXr0uc6MBtQn1SW4+4Jg8T87p7rG8Zooul8D7iiDCSkBAubm5SYHMtwDm76ghq9UqOcTydjeORxAkGA0Gg0IwkpTIH15DoiKoeNIgMGJbpv2R41Eg5TtdEpRp+9xs3g61ZCC/78hIUvFksbe3l+7dAztOMYI7Vtx8dzASgivzFF2cY71eq16vJ8KPIE3wd2LNk2KZwu0JwS3d9/f3aZMAn4Xmcw34mW9IwPWyKwsJ3/vj3a0hvU0c7J7DbqAsQChifYeaQCDwdLDZbPTb3/42xcVms5liAer36elpihnz+bzgxoXQcSUYseL+/l63t7cFd687X52k99lTZdu4TyaTtCD2jV0gjXzIMGIAu2o1m83UFjibzQqzKmn5Y+FMGyPvI+86gcbML9o7PE57cXdwcJAGHksqzKzc399Xs9mUtMsJkgpEE88KUYz4THGQz0fLcw1Fgjv0vDWHAswLM34uvW3rYbC0fyYunuD04hhHR0eF3ZkZk4BLAzEGcjAIsUDg4wYxutfrJVKJjTr4e7PZTDGVmoadDV3klXbxz0eEjEajQrxkjX53d5e6SBqNxoM2OmIox/Ydeb2DhfeU1TTkmVarlYSfWq32YJ3O+1xI2dvbS8/CRwvkNQ3xPyeYvL3S8yfCC/fP58D53cldRk6569jFnpwEc2cZeRxi0fMJ1+zEodc0PoqH83k+5xzkcScLWR+4e8z/bYXzOPA+I4iwErBAp51ib29Py+VSR0dHhZ50fodSjFrBQpr/+CzkfcZLboV1pxRfFCYEHxazBFBn3EkOniwYuE8Sk3bKCMVAtVpNLjHmBzCHZDKZpGfiwZme83q9/sCVkM8gcRLMA2Ee/P15uVJE4eBAAfHPy6/PnWi8ns/JyTDaVlHASBqQYT7zwF0ATnzlqpRbuV2Z53UkBX7OtZCE/XkFAoEngO3b9nhJadA7i0jID3cRufuXmJnnEW8rdALFyTBfxOKCvr+/LzgCWNTyhdLt7ZXMSBmNRg/aRqRifIaUooDyYsuFAy+oarVaKqCcnMsX6DwHfyZci6ve3paIgw5HHtcr7USQMlXbnQKeA8ghtVqtUCyxQxgzczi2E2f+2XANZWMAyCF5ziv8k9puC8fzFhXEpvw5BQKBjxPkDByu5BHcYT4mBFKHWoEY510K7NoL+eOxWdoN3HcShLqH15M/8tmGxFGIK++SgKDLzQZcH9dar9cLuYMZzF7TeFxEMKGm8VjP3z3eliGPw57/vOXQu0I8tuf53IkvfzbULgg/Thb6c/PWRSfD3AHn5Jafj+fi5+Qz9S4Zzuk/92vhvmLcS+B9RhBhJSAwT6fTtOieTqfJdeVFCT3aBAUcV97Why24Xq+noML8EVc/CDzSbjikL9RdnfeFLUXPYrFIxyDwj0ajQoAj4OEeOzg4SG0x0tuEORwO04BhXo9aTWBtNBpqt9vpOmnbKFOY/e9enPj9SrsZMJB0vrVw7oDwNk7e4y2Z/mwgwWq1mo6OjtJ91Go1rVar5HTgc3Bl3u3TnszcZsxr+bvbt72Q8oVBfo1O0gUZFgg8HWz+L1lFoeIkhsclYoS3EvpmJOQWFqRsDILTl1zCopj2RfIRZBTfnfxi0eykEbHOc43HOa4VNbxarSYnF7FvMBhoNBql8QBct8fyWq2m4+PjlGuYmeaFmrRzDKTnau2R7oKTdg4wXFKumAPiMn/2xTz3xH3RBonghVDE59hsNtO1u1pPIZk7nSkSfdZO7lYou38nBt017c88F90CgcDHDdautM7d37/d8R2R3okW1rzEOGKxO5h84xR34eZCvddG0m4uMcfzmJo7yTwHkneIoS5WuBvKSS1qmu12q9FolIwN7lgi5lIHtVqtdJ20oec1DbnDYzXX70SZ1wPeOsh1uphPPiYm+7gDr2k4F88fc4abGnBYc58utPB8eL2TdG7ucMcc9+z50fNqLlz5n91BHURY4H1FEGEl2Gw2Sb1ltsd4PE7/ySFU6vV6CnA+L8pJMBSJWq2mk5OTpELTOlhGHHGswWDwQPGWiuq/t5cwvN/txr7oznvJudf9/X0dHx8nRWQwGGgwGOjo6CjdvydI7hcHwXK5TC2Vfm0oDdJD4stVcQ/wLNJ5Tt564uqFB1ZX43levugnWfuOZ6hZzDpwpZ4ATkHG9XnfvDvY3CnnxYk7zNjhhh0/+XIicrvdpnaVQCDwNLD5vzHU55u4G9XdxJIKcRTld39/X61WK4k1tPx5UcLfac1wJZ9ZYt42gmsAQok4htOYGE18Xi6XhQU3sXo+nxdmhrFDZrPZVLfbTRvHcKxcdIEAg3TDRSbtVGfPk1y/zzxh8e/qOUUKRU+9Xn8wTN/bQzyX+bwynwHD/BufCUnuYZAy6wN/zsy65DOgnRGik8+d11KAOTEmKRWNngO9bZP2Jz7XQCDw8QMB11vg2ICFnOExixhSNiwdUZ85Yxzfd/jNHbrEG+oRj9XEU/IGzi/fUIs85a4yJ4dwMvNa8iHXOZlMNJlMUk2D2J7XNJyD+ZCMnsmdUdKOpPL7zAkgd4lxnV47+LPw31HbcU6P5y7SU8vwZ2oaWuaBjw9wEcvH7fh1+b8LnjPPzNsjybPu8qtWq4V/R5FnAu87gggrge+UJe3UFA8IniAIhqgtFBVuHUUNcDuwKwCu8LqV2EmgPKiSqIC3jLhjyp1GXqTk7izIMuzBFDwUW96WwX16m6dfp1RU5PmZK0+ugANPcDy3vE8+t2H755IfyxOTK+MQV5KSouLPmGTj15AnrNxKzGfNuTkGBBiEHAkbcI3eYhoIBJ4Gttq1rbMIl4rzpmh3IL7gJvacwpwUYgk5xNsJpd3Ce7VaFWIX53e1mtfyemnXhgJBxetQyd0V5sfiZx6La7Wa2u22Li4ukgKfuwh8LloeH71FkhzNNXp+cUeY5yLiNO3wlUqlMCPFiwUvXsg1eY7xuShcC58lrgXPEbny7kWDC0mSCs4Nz+lcJ6/xQqwMfm/hCAsEPn64w4iawWfjMmuR2sTzDMSZw4UYqUhUleUO4gy/95zgdRb5J7/ufFZV3mlBnilr70MA53oRGSBzfNYlNU3ZdZY5wzhXWV3j15HnIZ6Z5y9f/3su9uftdYZ/uYuOjhk3GPAa8q4fk8/JHcJeu/r956QlhJ0/gzJnXOSZwPuMIMJKwI6RvqCF8IHxns/nOjg4UKvVSsENpcFnctGSgtpMEUE7CcEFuCJPgHIFxIOXz4nhOG79lXaEDEpOvkAnOHLM9XqdVIBKpaLJZKL5fF7YPYsCyNs2yqzD7jDgvW6lze/JrzcvJnwuF8+Ez6ns/V6c+CwWrs+tvrjEnAhztZ7PzJ+1K2Q8R0/O0q7NstlsqtVqJceGFzT+ObjzIRAIPB14XCcGuLuJdg/ikRcoxCEW0rQjutspd4ZJSgUPX5BwuXLMdXmLh6QHxL2TXh5zyU3eCsj5GTXAhi2z2Uzj8biQT2i753rc8cVxuB5/bnnrhhcG/M5jNNcyHo9TfKc44rm4w4F8yvuq1WrBAeZEFs5gXOQ8o7zgcJezt3qSv/mzt7t4+45/nr4TqX+GuVgWCAQ+bkB0+TrYxXji13w+T3mGv1PTAHIPxyQW8/N8dldOhHhc8zU+r/G5lAg9eQcG8Z347TVGXtPgRsYNi6N4sVgUhCBcaG5GyAk2aTfzUirOx8qFdq41F1y8pvA847PSHPmxXVDyWo7XUkt4TePPxvOvi2C5ccFJNzdneG3FfeSmhlw0CgTeZwQRVoKbm5sUXH1rcoYOs+C+u7vTZDIptJF4GwWB3G27zG0hALqtFLBgxt5KC6IrvU5+Efi8XYMAmKsWnng8cKGSsJBnUX98fKxWq5XUemzLnpw8OHNcV4by77w2L5R4r1tvvehy1cIDN/BCwFtgKN7y4M7fffcUh5NqFCJcl7vtuC6eG0QXbrBnz57p+PhYp6enaaFAEcV5+awhRwOBwNPA/fo+xRJILxxgecuCu0eJO/zZc42r5BBFxDCPm7jI6vV6EjuI75vNprCBBwtv4ntOorhrFgcx1+qKNXmEgctca6vVUqPR0OHhYWGzFI/5LjT4ot+LE2m3GYq3pZOjXbH2vJoLE55bfdMWd9RxHV4oVKvVNOQ5V9jz4cZ+Pi+oKB58dhp5ilzj5BvPxodYD4dDSdJ0OlWtVnvQAht5JhB4Guh2u0mEgPj3Tam8vd1jt9c7/hpiibSraTgW74fwIuY1Go0U/xFwuB5pV7e4e5fY590mZcK3r+fJD1yn7yy8t7enVqulZrOZWvZ5jedTF8PJUf4MvKbx2E0O92stI8bIIY7c3OA/4zpciOHYvMcFIL+OHDyfw8PD9Pl6TvJjOLHFHDNJhfyDMJcbLbg2N2YEAu8jgggrAQo6AdrJDRa5Dg9qLPa9IGBRS3uHkz15QPTjoCp7sC1rofBj5AtvXutBPFcR3L3lJJS3sXgxQiD2eTMEzZys4/h+7kql8mDmzWMoI748ueQJI38WedJwdcqLM45VZnfOixT+XVC88h4ntyhKaP1hXoGkAgHm55IUSSMQeGKAVCEO+QLUC4Bc3HBnFDkFdXY+n6dc4S6uXCUui2++cMcFlV/Tu9odiLm5mCEV219cTOC+JaU46XkJp5xfI9/zHIEAxX3kDmnu26/Xc5vnK88R7ihzMsxzJIWCzxPz5+yfqcNfR+6FxMsdZNvtNhF7LtZUq9Xkbt7f308zgHKCz//dRa4JBD5+QHC5q9SFa8afABcWfO3seUYq1jQ5SQQ8znhNQ43la2Ffu7uzjOsAxN/cfebEDe5ohAOvZ7gP7ttdsuTQnNThuPk9edcQyB1Sft1l+cprDX+tt4Nyrlx08WvxWsqNA2XPiNeTL3idPx+/bz8O87+ojZ2AzM8TzuPA+44gwkqAZdYXlfnsj7wFQyq2/kk7CzBBazqdJnVCKgZ7V1BIBq4CeLHCsV2Zd3tq7jDjuAwzxhngxQhBc7FYpEV4o9FIiYotliksfJglrSD5/XNvrrZAoOGWYtFftih3Z50rU67U5I4BV0dyhUZS2uWT5yvtZt44CelkmxdDvmU0DjTAcH2SLRslMByathh3SrgCxrOKpBEIPB1stpvkIMoX7B6bncRxQisXAXAqE5MhharVaqFNwQUb/k58dGJM2i2qaZ/MCRWui9csl8s0rwzhIJ+9QhsO8xMhdur1emGoMvEfYoeZL9yTL9LdaY1DgQ1JyAdejHD9Pl/M3XjkSn8GXuz5KIOyuTU5kQhJx3GcxPJihjkvOLmknYK/3W4L6jt5h/ZZrjUXXPiMc9dBIBD4uEHbInHBOzLyeqSspvEWOmLQer3WZDJJ8ylZd+civcd8r2lc+CHXsf7lPGXxketgNIBvVuK/J8avVqtCazr3g5OW5+IbCnCdLmx7zHRxhbqDmoZn+xjeVdPwHHKyzEUUnHw5Eee7YELM+ftzopDP18e1IF7xXjdBeE3EzLXNZlNwOeev499EIPA+I4iwEhAkXC1wttsJlDISDMcTbSoETYIXRY8Hb87JgHppN2BXUkEZyFsxPBC7isN3yCeKC6zMHNdfn7cV+vFxqTFUU9olJJ6XO6r8WXlhwmwaiEZ2GOE5+HOhGCFBHx4epiJof3+/sJVyfs1lbgaCPoWEn8M/z7xQcCKM9hOUJv934YnIk4EnPohEWm1JWvw9CpRA4AlhqwfKtKQHcaAsprHwhiji/b4LLu+VdvM6OA47GTpBVOZeIm5xbEYGAI7huYZFPWRc7qB1NZtdlHk/BI8XKnluc1AIEENdrDk4OFC73S7sZJU761wI4dqPjo7Ss2YXZ8g8igWeiQss5DQcwezGvN3udgXO85I/a3IHM0jJCVyPVByc75+zk4D8W/AZcbQm8ftAIPB04DOwiM/SjiD32kbakSwIApvNrjWSNe1isUhrY9a+0i4WIa5zDHfVSruclBNL3qLo18R9eG3Gd/JaLmaXCUfkFIgrd/N6Dci5uQ4frs9sL8hAdn+HQMvrQ2IzNQ3nJy9R0/j1c5+4j12A93rGCSmfLZnXmB73OV6tVkv/NnJCkzzHez1vu4vORwfxOfgctEDgfUUQYSXIWxudCMsDlFTczp73ewD2wsaTTa60ANSJMpcXryNZlFlf895wbzFhkf/YnC/v/c534eLeXGl2hYEA6LvOQFjlzjNvreS4Zc/Fk6STUa4wAScOPdl6wePOOp5Tbuv155wnVAo0nlveWw/8fkkUWNCXy2Xampln7MVbJI1A4AmhUowXUjFusXjP2yaIR4gIria7EpzHakd+Xo+F7q71L0dO/ud5M5+/wtBlF0gg17wA4jXEes6Rq/7+O0kPRBy++2Leizsv2nxulreM5AWXn8fv1x0M3rbojgdvsfTj5Z89x4AgzEnE/PzkI3c38OzzXTA9D0euCQQ+fjgZ4jMbc5T9jJ8TC33d7seT9GAtDYjBvNYdVtQDvC5ff3P9ea1BveECirSrpYi1uGu97dHvk1hf9jvPSX6PuePLryk/P7E8Nx94nHchKnfxQprxntyhVeZAzj9fj/e54MVn6+4t6hXPSX4NCEfkGOoaJ738mUeeCbzPCCKsBAxFz//z+sK1DJ4UfO6Ju6qkXVJxC21OuPnfCahOqnhgAgRGdyl5YCbxuIPLCTAGJ/vi3rdj57ohglhk+7k4B4N99/b2VK/XC6oLwZoAKimpIk6y+W5YPH9v35GUWjZRZFyl4TlSdHjrCn/2xJO7H/xz9xlo7MiWF6ccg2dOkmAA/sHBgcbjsYbDofr9vqbTaSoMGZTPANJAIPA0kDtR+e5kSe7SYtHubR4MVs/FANyrwEUaFrvET8QBih1U4lzAcVEiV5y9mFiv12leGWQQ8btSqRTitAs+uI/5HRu55DF3vV6nXOPtHeQmroUWmkajoVqtltr5UeJxFpeJK9w71+PFi+80dnd3l1o8ccyRL8jrFGXcoxdw/u/Bc52TgxQxvh7IczCf12w203Q61XQ6LTiQfQfmQCDw8QNB4bsSEvm8LF8/Pxa3cgHBR6Xc398XhAivi/J45LnQ64LcMU1+8NcxsoV6xV/P+am9eI3nQeAEmN9fo9FIsRsBhLxJPHYRhNyE0J3XND4InxZ4d2S5mJ6LNX5dTmzxbHITQv58Xdz33ORGC56NXxM/m0wmmkwmGo/HhV1Dcb/5jqOBwPuIIMIeAUqDtLODOuPucAJFUmGxTkGRt2FIO/LHF7WS0pDcWq1WmAUC606wcStrbnNGYYDs8utyBcbvt1p9O2SZIqHVaqU2QMgsb1nJF+e56oFjivYQVyIoFiikSJ6NRqPgQnissPNCzlsueY8nfnc45MSaf9ZOMpJc3dLM67nPMteZOxy419lsllqQbm5udHl5qcvLyzQzjsQdCSMQeHqoqNiW7YRT7kRyt49UbH1gd+F0XCNUPI7574m9tFbgFt7b2ys4ilgEczze70QYsx9daWYxzHtxvdLSMZvNtLe3p3a7nY6VbzriwgSx1hf6XC95Ki9cqtWqGo1GalXk3K1Wq1DAuFsKUtHzFPnUHVYudNHykh/P840XXeRIv4ey4sbdFP75MveT3T4ptKS3ua7f72swGCQizAu3MqEvEAh8vMjXrFLRmZu3xBHHvJ5x5xPw2oNc4uNbJBVIKX5PPvC1e55nfISMb15W1j1CTCNXsH5fLpeJGGu1WkkA4bowAiCquGvK29dZq3MfzMni2Zblrr29PTUajVQ3uvPY6zLyJrWFx+ncAEFNQ+7I3eO+lvCax/No7lLjZ/kagffd3d2ljRFwdvPzXq+nXq+n4XBYyPVOigUC7zOCCPsWIDnkVlICU16oOJNe5siSVHAxefuhBzSUfnrzc4JI2g3rlR7OlOE6y1SA3IXA9XrLpDvLfCClJw2/ljJLtLTbJZHAy71RYHibim8O4K0rHIf75D1uteZ5+L26ouPPwZ8z1+6W3jLXRe5GyN1g/kxJUpBi/Gw4HGo4HGo8Hmu1WqVii0IlEAg8LWxVjEtOquckfN5KV0b0A14DQfUu5MVG3vqSI2+9AMR4L1CckKOwcHc0uYC/e9sH6rgPUc5dvMRpiCkfAk2eQFTyXOPuZ79u/k6+4Wc+oD/fOdqv2/M41+guszxX5c/YVXh3Hvv1+TFYb/B7Cp7pdJpa8POCKIiwQOBpwtf3Hje8HvB45AIBf3dRG7ARGEJDmQMN8YRYvFwuC7GO66Pe8T+7UOQkTp5zuBeu0UUUn/nlc8O4ZhfCc3E//7mTdJ6v3JnlOdVdz3lNkucO7iMnk/JatKym4f5yYstrtcfyt5OAvM7/zfhnittrNBppMploPp8X8kpOmAYC7yuCCCuB/2cnQBEgfYEMGebOJWfe3ZYqqbBQ9eTCgEUnt7AQ12o1NZtN1Wo1TafTAumVW4qdfPHiw//stlpXLVD9UWe2221q00MZIaj70F4n53yx7+SPK0G+7XtZAj46OioM8vWCivPTksLP/XPw5wHyxJgr9bmbK1dPvBXIrxW4es/xKD4YJooT4vr6Wjc3N+p2u4UB0tEWGQg8TWy3RfLDSRaP4XlOcsVe2sViXiPtFs4Mb/eZleQiYjsu5EajocVikYQJd3wBb6OkFYQYyfs8RiJ6NBqN5KoihlcqlYIbllhKW33ZfXmucaWanOlualfoPVY3m00tl8tCWw3PTHrrzPZ2wnq9ntzSLnbxHPz+vVDxnaK9iClT3nPHBe0wDi/4yOlOiq5WK81ms6TS4zx251oUKIHA0wFxR9rlGhys3nbIWpqax51FXrd4zkGMd2I/dxZ52/nh4WHaBIQ8k5/H4yHHdKeY1y5O+niHiXfOcG3kGQg5cgHuLs+tLrhLKuxkDOlFXiUeu/ji5BjPWioaBvz5u/COUSLPEX5czwteZ/pr+eydnPLj5O8vq1e9fnJnMhu79ft9jUajRIRxXJ8lFwi8zwgirASuNgOCQBnB5EQQLh8nqVw98YAzm80SGVJW7IzH41ScoF7n1+jngMgh8JN0sCLXarVERKHKkDS4FooKqUhCuUrgM1A8cHoLjpNZXmjxPu/D96KB68BJRRB2i/Jms3mwQ2auTvn1c508m729vcLQZu7BdxrLd9XyQic/h8+bQSVxCzLPdTQaJRJsNBoViLvFYvHAZRAIBJ4CtoVCRSofOkwBQCykkPBh9MCPx4L67u5OzWaz4CZivslyuUwqPbsKk8+Ir8xsJFb6udy9fHBwkAg1ChPmcjUajaQez+fzFPspILzQIi9SpJBTfTYZbeUs8BFKfCv7PGaTp2azWco3PAcvaHjG3obDdeQOPa4ln4dDTvE85M8eASov+Jy8A16Y+GftSvx6vU4k2Hg81mw2S+sBdzpHgRIIPB2U5ROvSaRiuxwCQtkQ+ty17C4iSHdpF2f9tdPpNM31rdfrj5JaOfFGjvPahXrCZz4S8w8ODjSfz9M4Ga9pfM3vz4e858/Ec4K3JvpcSq+jeI5+HB9n40RRni+8pvTXuCnAP0vEFN9wy8V66kHyTNloGP+MnPzLP7vtdqvRaPQgzwwGA/X7/dTh4v+mwhEW+FAQRNgjyJMGyJMGi3dn2QlO7try9+YFy2KxSEUIx8Y2zCKdYI9jivcSlPIWSW+fgKw5OjpSs9lM5BqkGIoI2xx7X3pZoPRj+iBmH0LpbZPeGultK7n9FjeEtwnmbSvSrhB57Cv//DwpeYGSbyrgX/4Z+eedb27gBF+r1dJyuVS1WtV0Ok3Hob+egZIUX/5vIFojA4HAY/AFLjHIZ1VJD52wuQMWggWyiPgOWUPcz0UKPzaL6lyR5ro4/sHBgZrNpur1esGhRaHic7c8D+RKtZNsiEGeeyhEuC5vV3E3WN6WguOZIiVX8bke8ru7kr1482v2NYG7ip14cjHMC5P83imyWE/gdnOn3GQykaQkwLhSP5lMCgUYz9mLy0Ag8HTgsY2/S7s84TEsF5Z9FIw7vzzHSEqvITY7OYRbFfEfV9b9/X3BkeWxM29NlIo7+lLTQIgxA5IaBBHaWx7L3FQc19sjeRZ8edzO54DlgovnmTJh3cksqbirZ1lNk392Xut5BxK1kXfquLCU1zWew1zU8VwuKd0zNYo7wiAc8zE0IbgEPhQEEVYCgmBOhnkQpCXC/+N7cQG54XNbciUFwmyz2aRCgd561P75fK7ZbKZGo6H9/X3V63VJKthyUT2AL6rdSnx4eKhOp6NWq6VOp5MG4Fcqbwe6LxYLjcfjNFcEhp9jetAlGTEEX9ot3lFINptNahH05JUnDY7tw3xd3ee4BO18Fo6kQkLKg71/fm4Hx1VAEuDe8sKM15JkcZZVKpXUutpsNvXTn/5Uo9FIvV4vOR5oeRyNRur3++r1eppMJqlo47555oFA4GkhV6GlHfHkbYJOhLFg5+fL5fJBDvAChdg9Ho/VbDbTccg/7Fqb76jIbosUFZ5riI3E6nq9XlDkO52Ojo+PdXZ2ltoK9/beDsZHGMDRlhNFrqZT1HQ6nZRDvZUTcYi46i385HAnyCSl1kwECQbnuzPBnW9+3O12mwq3nAjzAgvBigJL2in8Lpa509jzKkP1KRxZAxweHurP/uzPdHl5qVevXqVWSIoSBBcX0vg3EIPyA4GnByd7chCPPD4Cdq2F0CKe5O11LrgQY5yY4tysh+fzuVqtlqrVanKGQWbV6/UUn92hxDGc6Do6OlKn01Gz2VSn00n5q1KpJKGD2sZ3qZeKOZJc6jWNiw+02bto7WSRt0T6sX3gvTvJ3HXsYod3HXneKIvXnIv6KncvPya48Hsn8NytRh16dHSki4sL9ft9SVK/3y9s0DKZTFLr/WKxSJ8V/6a8MyYQeJ8RRFgJfKAiIDARWCBk/DUsaGu1WnJ6+UwOZ+Q9KPkcKU8eOLY4P+A14O7uLiUYzgH5RYFSq9V0cnKidrud3u87uFBMMIsMAo6gT2AlsBPAIe68FZTWRUnJGUZQ94Th7i0P1GVJz4sa2g9pn8ydDCQsnnNu3wbuEnAnWE4gQoLxmc9ms3S/3Cevmc/nqZDi+kajkUajUUoay+UyFXJ3d3eaTqeh0AcCTxi525XFcd6ekLdt1Ov1Quzz2ZTA2yRxQt3f36vRaBTmaHF+vyYKE2I97tbZbFZY3HMMcsvZ2Zk6nY4ajUb6Iv7XajXd3d2lIbsULIggXhw4IUhR5q8jr3CtFBnkN56ftzz6zmTsHsaxKHp4bq6CO4nk89Y8dueto34OchEOASf/yBmsH6rV6oPdkCm66vW6Op2OhsOhDg8PUwvnarV6sEsk/0587ZLnwUAg8HHD2xVB7uh1t1fuHMONy9raaxp/P98hTJzA91jNOYjPlUoldVW4S5lcJRVHrDQajRQHW61Wivc4jakZqKnYuR1xwGuYnAhE3MmdVN5xwv04sZW7ij3GusvY6wo+A58/5uQZzwxHmsfu3E3Nz/hMvMOF17jLjPPf398XRiz4Oclz7kC7u7vTeDxOX+QZJ9UgxgKBDwFBhJWA4JHP4XKQNNzS6qowgdhdVRwnb5Ek+JFo8lZDJ47yFo2jo6NEuIzH40IAZWHfaDTSzBbf1cSVCS8AnIxiToy0C+ZOBroqxHk9QeatimXWXFBm/3VCypOmf05uwSVh+GfCnx9rHfLryltj/NycjzlqFCBcg+/QxReFI188S9wMPoMhEAg8TUBwefuG9HAXJ+nhzrjEbb47qZ+3uJC33HEr7doay1o1WLQz4Jidoli809a/t7eXCpTj4+OkzntbvLfNc238jDmJfq9cb662uwruxZu759wF4cUKyFuAvIgBnvPyNkeO6fMgvegoO55/pn5PeXEIWTebzdI1evsjKrzP0nFBzHMwhB3/NqJACQSeFvJ6Rtq12Et6kHvKOi5ww/pmWWVraGkXLxFKXLzJaxqvbRBKWFPPZrMUC4nrtN3nNY2TPN4FI+3cy+QHXM1lbYS83nMIv8uvOX8GuSuYc/jvckIqr1O81dGvkZorXw94/vLreYyI8y/O43M2yRdOkPm4HIwb5GsnKl1wCQQ+FAQRVgJvaQBu7/WFbx7E+DnBmQWvD1F3h5LPd3E3lw9/5FgEd4bvHhwc6OTkJF3baDRKx/eAzlwwlH2CKk4vzuPJA6sxSgoKs+8sSVLyYsHn1nhScosulmbeAyD2HF5I+TP29lF2ufQk4TuZ8VXWy89r/Ge5M4yEwZDn4XBYmFFTrVaTGk8iI1HQbjocDjUej9P9056EGyIcYYHA0wTrVQSRsrwj7UQUJ374wkVEjmHTD2JuTiLd399rMpmkXNVoNNJML883zM/a33+7yyJkWbPZTO0hnstOTk5Ur9fVarUKYgFtGzhniZsUNZJSfCW/+H3MZrOC+i4pCUDT6bRQJG23W00mE63X65T3uG6fg0KB9phjmGdMPuGYtAqRG5bLZSq0eMb+2TgR56RUrs57myrOYYZLk5/H47EWi4Wurq7S88Ghh9jCs+Pfz+HhoabTaUFwCwQCTwfuDpUe32DKYyRwF1QukDsZnwsY5CriM24tr2lY33t+OD4+TvGVmEucZi3PXDDiItfthB85kVhPHkKw9lEs3MNqtSqMYfF8Sy2XO2x5Nu4I81oQ55WLHrlAwvUjNOV52z/DnMwqc6P58Wmx9xqJa6dtdDQaFeosWhv7/X6hlqGtdTweF1oiaacs2wAmEHjfEURYCQhIXoS4a8fnfBAY8+DnyYMWDS8KnLDKVQcWtxArqDDe7gGp43ZgCDfv45d2iWy1WhWsvziWfJcwkofP+jo4OEgOAMgnQBsnz0Qqd18RrCG6PDmQYHidB2MnlvgZM1MoLCjuOK8XNnxenhB922R+h3Ik7bZ65ovBkG4H9plhFC6eQPkcSBwQXhSJ5+fn6na7D/5tBQKBp4XtdregJpaxCGZGli9gcxHFYycuL+KSq8v5wnS73abB6sz/uL+/V6vVKrQyOoHF7CrIf2knHLAgrlQqaUdIFtfEb9+ghDY/2uv5wjmb72Is7dxn0q7lk7zE88pBiwz5V9ptPkCuIV96fkPYqVQq6RgQc/ye/EDudUKOvCypkGuY8+niy3a7Tbs/kmum06mm06kajUZyfs9ms0JBSj5cLBaaTqeFQiTfFTqU+kDgaaLs/72L5d7NQQzL4yykDOQ6a3rW4/nGHH4eZnWNx+N0LFrm3SXmNQ3xi3jm90BO9E4adyyxnmdt7+4n4v5kMnlQX5BniZs5GcUxea0/Fwb/+zGoB/IakbgN3HzhZKVUrKd4tl7TIMg7CUbexfntxCTPjLEs0+lUo9EorRtwiHGf5BTy8WQySQaJ+/v79Fk1Gg31er2C6zwQ+BAQRFgJnFB57Pe8hsCBciwVHUb5n5299yG2ztZDUDGYGBLFB+56ICR5sBAvaxkh8HGNsPckPw+wEID+d+4XxQL4vZE0ymYHeHDmnLyP75yDpCHtkrUnAhIv5+e5+gwUhycMT+CuxnuiImE6YemzcabTaZrRhiKGkkSR4u45tw83Gg2dnJzo7OxMw+Ew3VskjUDgiWJbLDa81cSVbn7mMc6LmHwRTY6BpCmLM95S50PxEUdQulHvaelGBMjFHHIHcxB98Y1A4yKSzyYjP/jrl8tlOna+TT3vKzxKEz8ooiCzyE1cV55ryIEUCuRhPhvyr38meX7yvOzzVdyN7J8VnyVEnbSb+TmbzTSbzQpEJ5us+HwZf17+b8NFKr+/yDWBwNOC1yweN6Td2ps6wbshQO46chLf2/bynYy9S8OFhHyTFI+PXtMQr/NOGmK4u6RclPDXel7E4OBiBnE+Nw54Tef1TD5z67Gaxq8j/xycXPOag2fh53c3F6/3nOJOac/Z3rrpawj/johC/ve1BM/UnxEClZOezKCu1+uFrphA4ENBEGEl8MBNUPCA5gtX1AYHi2tXAlxZdxWCoOJB2IcXoxyQYHA1EQg9yOF2YtcTL3LYWcrb+bw9EkcXw4EhvFABcDahIHiiIyB6oqRIyMlBL/S4D37Hc/br470e1L1Vk+fvJBZzZjg/O3JSxPk5j46OUjsQhaPvdAmB6HO+FotFut7JZFIYnInl2ws5iMN6va4/+ZM/0enpqU5OTvTVV1+FSh8IPHFstU0L9HyjD29v9CHuXkDwWid2iEP8DpdV3l5Bm7rP94AIouWSBTcqPO2SxG9IM5RkXGYeD7nmRqORyC3yIAtyv1dGCeCSIi84mUNeQFn3HOrPYjweP9iti4LQxSwH14vLarPZpNbRvDAYjUbp/b7rJruiocr7bBvyer6rcl5s8Gd3sLEG4Gc4JvK2z+fPn0tS4fkECRYIPD14vCWO5E4jfu6zIqXirF5qGb5DWLH2Xi6Xhd0ZIa348trARQbyjAsTtKBzvrx90AUcagaIG8Rtj++c02MrOcY3f3HHl5OB5MWcYHPCzMV+chD34jWMpILBgGtar9dJcALUae6ORuTg+btbz9tQJRU+D67J53zxlZOlXkOR2xFoqLHIM+7Uzs0SgcD7jiDCvgVIEh4cpLeBknldnjh8uC+LYP+7tFMY9vf3CztsUJwcHh6q3W7r5OREJycnev78uTqdTtpCnsDJDlGr1arQd88sEsgrAj7zTObzeXodRI/PEYNwYvYITii+/Fr9z7nCTtIjWdCy46qJO+X8eTq5RqFGcUjSYLYASYHk5M4IihNPLp6cXT3xz9w/d/8qS8z+fhYFJM69vT212+207f3BwUFS78us5IFA4OkBgoUiRdIDQaHsPdJOxXayx1uuvX2P2AWJVa/XEzl/fHys8/NzdTodHR8fp/e6QODqPS375AvyEeQWrljiL46zvHjxHRJ97pWLLiyuc5U/V7xx+VL0ARd83F2V5xqeJWSXzzzxgf85QcjGNORgLzpxlLmTgvjPZ+yuZXIZz8lzmjufcyGKa2g2m3r27JkWi4W63e6DNUogEHi6cCHByTCPJYD1sbuSnPgAxK3VapXIJ96DCN1sNnV2dqaTkxNdXFykmkbaxVsG5N/d3RVqGmIqBJY7zPb29tIYATZjWS6XKT9xfy4uuOvWaxoncbyDxMlEcoi0G23iRJc71KgP8prHc4HnGXIB+cDzredt79bxnO6OLnJj7tJzYlNS4c/upnMHN8+Ne6/X62q32/r00091f3+fZiBHLRP40BBE2DfACar85wSg3OrqSYMFsLeBeKDIZ4XlSgszpfyLRTnkFsmg1Wo9WHDjrPI2D0kpWfmwdxIIP6O90t1NKP4cG+KK+3NXmLQLqq7A5240nlfZwE0KO28F8TlrEI3cd54MSIyQfvmMmFylccUnd7PlSYb74308s9y1AMF4cnKiP/zDP9RyudT19XV6BuEICwQCuasrj0Ue23LwPo95FDm83ueQuCPs4OAgkSftdlutVkvtdlvtdjspwd7amLew5A4rJ+9w2ZKjGo1GIqCazWaBDCMeUgThpiW2ussAB2/uivZnyc/d9Qyc/ALe1sgz9c1hcOW5447nnQ+BZi6XtNvNk+P79Xme8c/On6+TYP55e8HFPfna4eTkJLXfBwKBAPA8w3rcY5G7mdwtS6x2d6r/Lm/JQ4Ahz7DTY6vVUrPZTF/MRnSXLEKCE0dO/EPUEAcRWHDQkk+k3UyxslY/8ow7jL31MBe5nVRyksm7SDh/2dreBXuvadwR7S2sLtBwTS6O5Hn9sRyT1zT+eXlN4/mUvOd/RhBi3XBycqLZbJZyTRBhgQ8NQYSVwAMQyFl3Dxb83JOCk2P7+/uph9pBcUDwzYkwdzmxuG02mylQTqfTFHz29/e1XC5Vq9XUarUKwyQJcjkZxvsYmM/uIq1WK1lrWbxTmGCP5TnMZrMU8HPlGwXGSSZ/Xu5i8LlcXhR5q48nDVfSKUI8Ofs8Gx/Mn/ffkxwh97wYc7eFFzg+1wYiDpKN++Nzq9Vq+uSTT/TJJ5/oZz/7mX7605/q5cuX6na7mkwmaeeVQCDwtFEWH73dY7lcpsWw79br8ZW2OPIEMY5FP+2FktJxiFUUI7Scn56eqlKpaDQapRZARAlpN9fLWx25ZpxnwAk5YvN2u1Wn0yks7D3X0IZO3GaTEnYWcxeyx3IvVHguFBYHBweFHSkhxGhJ8eLO3ce4qxk74KQWQgdCFPDWUS+IUNXz58N9siHB4eFhobhCvPJWU98hkufS6XR0dnamer2enA+u8gcCgacHF+75u7Rrk+dnPo+S9XfeOk6eaTQa6WfUG+v1Ou32SNyHCPMdib2mkd7uGsxGIZKSu4x2dHKKu3dz4YVaabPZpJpGejubF0cyDjLipxNhe3t7qR3faydyntd1bmBwIoznw3U5uYWQVCbue95iXpfXNL6RgK8ROEZu1vBjOlnHPfjGOu6C9lzBeoD1A/8myDPPnz9Xo9FI7jqf+xYIfCgIIuwdcPLLkZMoZXBHEvZctp8neNFC0mw2S9tI2PZ9u92mHU7u7u4SodZut5MLyed6eZB1pTwPnMDbZbAT+6yxarWqVquVWiV95y8IKSenXLFxtUnatXWQNKXiwH1Ppl5Mkag4J59PDpIGc29yF4W3NebJx23PDo5BAvd5A41GIx0PJeng4EDtdjsl7UajoWfPnuknP/mJ5vO5hsOh+v2+ptNpUnMCgcDTBYtecou0c5mCvM3cyRTId1R3cg2/91Zy/2JGmO8UuV6v03bqrVZLktTpdNIW9BQPLhTwZx9q7PfEPU6n00TwUIAQM2u1mu7v79XpdNLuVIgz3D/3SkHhuSYv5rxlhZzj7ilIPJ6N7/qYOw6cUNzbe7vjGHGfuZPsgMZ1MGaAHM4zKctbuaMcws9nUvru097Kg3BFLmo0Gmq32ynH+PyZIMICgacHjy/5+l8qxnB/Xf6+3AFLKzhxjzqg1WoVcg55hhwjSfP5PJ2X2NVqtZIwTi3hOcIJG7+X3AmFyMG63Fvauc9ms5kEF4QZjp1/+WYmuYBRNsvY8zYmBM+71FpOqjkxmXejeE3jghOEltdGOTlXNoLFa1vyojvLONZ8Pk/PixZTRKB2u63j42MNBoM0QieIsMCHiCDCSuAL6rKk4a95jI2XVEgaLPS97YFgzwBhCgyUem8bwXl1d3en09PTAlHGTBWOh7VY2gVqrM5evHhQ9KDJa3z+V7PZTEWMk0e5DdpVkrw4cRLM/+yzXEgCzAIoAwVWGbHn7SR5YveEzXHc6uyFyrsKhty6zP3RXgpxiOJydnam09NTnZ6e6vPPP9doNNJoNEptrYFA4GnDHVPfpNi708tbJlnoI7wQfyBweB8FCnMieQ+OqPV6nYgW1Hw2FGHTFYQbtlnP479ff+6w4npdQGEnyu12mwbKk2vyFpNc3c6fh8d0dxWTawDX4K2PTjLmDj2ejQ955l64DxdafI4O58pzDp8vz8c/T3+u6/U6uRu2221hSHSj0UjH81EAzL9xV1sQYYHA00PeTs/fcyLJY2kOj0vEHhxKvtmKC8X5QHt38NIJQdzleHSp4GSlpiHmEhNxYLkLy/OA5w5iq4v47rx1wcPzsN9PmZvOf+d1jF+XVDQMlCHvOPKc7zWNixm8Np/L7LmrLB/nYgyCD8eGFPSh93Q18Z01xtHRUZrn6Zu6BQIfEoIIKwGByINFnhgeI0u8796JsHyQvau7bqOFVceWS0LBjcUOVe12W2dnZ3r27Jmkt+0Ww+EwWVR5Hcp5pVIpuKR8KD7nyltUmFHWbreTWlCpVNJQRLfueg9+TnZ5Hz8JI1ctIP08yEu79sMypxlFmn8e7oK4v3+7M2f+GXjBhGKUu8OAD9dkngBb2pP8KQjn83lqTf3JT36Shk+fnp4mdeXNmzd68+aNut2uBoOB5vP59/FPNhAIfKCo6CERQmzk548tLn3xDGHFAt/bs33oLsccj8ep9QF1mq/ZbJZaHlF+z8/PUwEzGo3ScHxmiOEmpr2Ptkacy5vNJs1vgXzz1vd6va7j4+OU73CmvatNnRwKQUVxRQsoohLPcL1epx3KOB7Pm/vNW0l4brVarVDIQDqh0s/n8/Q6igZvNZKU8nmZkwBhxHdeG4/HhdzMfUJiNhoNXVxcpC3st9utptOp+v2+er2eBoOBJpOJJpNJYVOeQCDwdMB62WNRLuQ6MZ8L/E7ouyMMgou453MqOe5isUhEvI8VIcdMp1Ntt2/b5NkcjLqEdknqGuoJby8khzQajXSd7gLzOYs+tN/jLy5lSDnuwWuFXGBx0sxrIF7nDjZ/znkt422dXKO/3h1fCO5+//6snQRzF5rXq+7qpm6hHZX78N2fcf3hCqeWYh1AnplOpyHuBz5IBBFWAh8SWaaM5EExV+whhyQlG6wz6riVPPixaMa5xfs8qPmC/eDgIDm0vLUQ1Z0Ews4rtDpSGKDwu0pO77cr8jyHWq2mTqeTVGeCKfCefd8V0lV2/i7tBje7OoGiw989aeZf+eBhroEkRRJAlfK5OiRF5tHwOeUONk8mkGWuQuUWbog4BuOfn5/r5OREtVpNo9FIk8lE/X5fg8FAo9Eo7eYZCASeLjx/lOWTMlWamE1s9VZyCBLgBYi7lO7v7wtqOK9hlhjXA8FEK4u0my0pKZFhi8Ui5Y16vV4okJhrQl5jnhVzW9z9jPhCbCSGe27lWJA7EEuupvuMFpxhFCvuUqOg8FhO4UbRlecxcrjnCG8F4pmTa3DlkZPzotOv3XcP890puSY+Z5/TQ85eLBapyGSHZ3fwBQKBpwfWrI8JKmWiC69nXe8tfpJSu57PBPa1uJNAtLHn3Ri83ndx9N3neT2kGK4jr2l8JIDXNKzR2+12QRxyx26z2UxGAOJ27sSGfAIu6uf5GFEjfw2/8+fkcZ78km/o4qYKz2O+AYy/jveVEZ6+lsBl56YLXuOzoPncedY8x/v7e02n0zTnmBZ+jhkIfEgIIqwEBJ53LRxdJWAxTdBw5cUJFtQTFvF+HHdW5UnLF/ko7747FAtuAiVM/mKx0Gq1Sgq1D0fkZwRm6W1i63Q6KaFAzkl6MKjft9LNn4UnvJxc8nsm6XhC8df5PC5/Dj6E05MNBUte/OQtnxQQJBKSkqSU9Dkfx/IZK64Wed8/BRUzWjqdjo6Pj9O9jsfj9EXyiKQRCDxxVHaxrvDjLCY6SVbWVudtEz4LhXgMKcPiuVarFWKlFymeb7xIyVtg1ut1Il3Y9p7FMvmOIoV8Qqz29nGf0UIMPT4+TudnnqbnE/IQ9y/tBBnuGyCeuPjk7Syea7gvyC3PR3nrSp5vPNd4TvdNVnCe8Yzzz90dcJ6nvN3IN4RpNBrpmePOI7/47JZoWQkEnia8jS7vunA4OeU5hnU0a16P1dQf+fqdGAlR5u2MTh4xBoV5XTm5xvp7NpulmoaWTHek4fbyOF+tVtVsNtNrfV4j5A55xdfy/hzKHNmPOb1cqMkFLd7n+cuFe3IB1009UeZS5s9eO7ohgtzonTec08Ueco072RCYnAjzDd9qtVqab+wiWC7yBAIfCoIIKwH/8QHBSXobyBiKnltmcwYfW3C/39d2u9XZ2ZmOj49Vq9VSEMrnn6DE+2Bivrg22jBg5ClOYOXH47EGg0FSgflyhRqCjIU0Ckur1UokmKQ0bwz1h0DpM2LcEeXEmBcYXtTl8ODsz1TaFR88i7xoy8lIPiNvv/RFgBOHBHcGRa9Wq1RAcC+0qFB8HB0dpaS32WxS8ScpzQK7uLjQ+fl5epa9Xk/dblcvX77Uzc2Nbm9v1e12C597IBB4mqioklRWHLfEKx8+620P0m5oLQvgu7s79ft93d/fq91up5Y5z18QO7S+e2sgsY5igzZwtryfz+fpXCx+x+Oxbm5uEllFLG6326n4oY1vf39fx8fHqYhpt9uF9pHlcplyK4PzUacPDw/THEwEDp6JFw6+8C9r9fFZYP5M3SWMmER+duKR40lFF7QLOuQWnA3cT6VS0fn5uYbDYcrfLrBwTuau8R4f5k/hwmfSbrcLA6bH47F6vZ6urq40HA6T8OLkWiAQeFrIW/3oPMnbI3Pyx9fuvJaWuEqlorOzsySeu7idCwHSw6HxTozRag+hQjz2tkh2L/bNP3w9f3d3l9rtm81mIsnYOIb7hSDCSOBiN6ScO9/8uXAf/Ny/+7OlTsrrFGlX07h4wmvzlknynI/P8WvxEQHkdAjBg4ODRC76zs44vHFTk6u4byccMUw0Go200cF2u9VoNFK/39ft7a3G43Fqv48cE/gQEURYCXz+lLuIfAFM4HKm3pMFYGE7mUw0Ho8LO0f6jBNvt8tbP6SdiiztFBTey3EIXgTQnMyj0KlU3u465buQcA2uXrtduiwRuELhigfXSDLIFXSOmR+L73liycksV6T4HHgOuUXbkzH3m7fHMKPM7d+Qj+4+o1U0V5CktwmJWTonJyepyLy7u9NgMFCv10u99LRJPkYMBgKBJ4SKCk4rFvNOhkHg5G2S7kLebDaJRJlOp4locpJHUoE48lZ9n8cIWDgzy4VjMYSd9j0vAFDvie2z2SzFXooXj8vuhvMigHuTdnNNcnLLW0Z8doy3MXqOdLeY561crHE1nuvK2xLd2ezXS64gj+dxnjZMcjzFCvnbhTjyed5CQ7FDCyzi1HA41HA4TOsN2u8j1wQCTxce8104JiZCtEjFWVMeH71Lht3jp9NpIp285uD1OVGDU4lYx2u9m8XzEqQXYjx1iYs3vIfdH6lpfOyM5xknrPK6xfMryN2/TiLm8d1bQj2X5cjrExe7vGZC9MnrprJnW/aZ+4geF/WpodwlTn6DEINYwwnmruThcKjRaJRIs/l8ngwEgcCHhiDCHoETJZIKveW4gyQVFqlS0UZLIGT788lkkoJ1XqB4YeJWYm/f8OMTkCQVXF7uFvA2DkmpWODnzBqjIPDrKDufJwhPXrkjC/Bs8mCdE2v+M392JO3Hip+cuPKBl3mioY3EHQhlSQqCyx17JAzmD/jMGmbBHBwcFNohSdjL5TLNBRsMBoUEEupJIBCQdjF8u90Whg67Y8vbIsrIIkmpKGCeCoULOYUCpVKppKKBOHt3d1cgkLxoogWSxTfxkdYXLywoTtjl8O7uLqnJTma5+AOIqR57+VneSu8jAe7v79OMMq7R57bwPN1B7G3pPjOMeJ+TXK7wu0jm73OCz4srz+Vc03a7Tc47CkOKIApKPjMfseBEWL1eT8eZz+fJBeazWyDTAoHA04Sv7QExJheYnZSRyueG0T0B0Y7w67MeOa6PZGFdj2jj9YTPqvLNQbgeHwrvgga10GKxSLOPvT7gOsq6eNzEwHX4GBXu2Z2/xPJccHH4z3JSLRfqy9zMLpR4O6e/x4Uk/5zKxCwnuXxdkP+74HU8Y4gw3MmYMxDz2ZkYJ18g8CEiiLBHQMCmt5xFPYGGbeTZEYUWwjIVAOXjzZs3qeWRAbfMQmHhTHHi1uDZbKYXL16kuV8QLBBZtDe2Wi1JbwkvbyORdnOxOA87TxHsnGDiHlCqp9OpxuNx2uWF4bs+t4VnBkgo/NwTHiDheG873wnMZX8uc0UQwH2wMS4w+topBjk3/e3T6TTdC24GkoUXpOzwyJw3CjAKkufPn+v8/FydTkfb7Vaz2UyTyURff/21Xr16pZubG71+/Vrdblez2ez7+YcaCAQ+CrD4p9WNhedqtdJkMknxOVeIWTRD3lQqFXW7XZ2fn6tWqyVyrFqtpgH1rgQT4zqdTso1Hv9Q6mkNbzabarfbknaD+BmwTzz3TVzIR9VqVfV6Pf3ZCwpiMTkmb4FxAixfuPtcLooInk3uRJZ2OZwxBJIKhQ55xWO85ykKL8i23LHM+gDxbLPZpLYedj7jy+93b29PtVotEZlOclJ80u7T6XSSE4MRCcPhUK9fv9bl5WVyIU8mk5hDGQgEknhAKxzCrrRzDLHLOjE/d83yZ5yrt7e3ajQaKVY2m8202Ql1jM/xQrDHHEDbHvFwtVqla6tWqwXHK63jCDbkI3JNnqe8s8U7SKhrfMA7860Qapx08trFiTN3zXnrvbuvOYbXNlLR2eWCv9c0nme8juPzc3MG76d24TuiEjUOtSikpecGnxvG59Zut9PoHNYhg8FA19fX6vV6Go/HGg6HUc8EPmgEEfYOwKQTyJ1EcRU77z33QOoM/3w+12AwSAGO31Wruy3uKWwoMFiANxqNQhJypYTCiKKGwMVrfB4Wys1ms0nqCdfHcbkmEiP9+SQtnz3mqou3n3iykHaKjw/I5DyukrsLwhOCt7/kqk2eaLwVstlspuTsGxXwWUDycQ3ct3/GPHcSJdfi1yYpuREqlUphVhtFSbfbTfNhAoFAALji6/NMiKmucONK9QW4tBsOzxDbwWCgSqWS2hqkHYnPsVn8kkPIE35NPi/FnQGuRq/XazWbzVSgNBqNpCLP5/M0sNgdYz4kGGfUcrksbCbiO1tJu0Iid1IfHh4mQYcc6gUcuYb74hieN5xI8zYSikFmqpCnPe8dHR2p1WoVBjNzTNwTs9lM4/G4INSQRzzXlLm4uSZJ6V75rJfLpYbDobrdrgaDQZoLFlvZBwIBkHdi4N5ydy0gJ0BS8X4/FmLycDiUpMLr3G0mqRDn+M5cMUkF0sbbBYmTrN99jqbXNByXucfkAGoVr62Imb6hmJ/f82qeL3O3lXcDcb18l3b1CMfI3d0++zivafzP7q7DoeWznJmnSdfRZDIpkJieQ8vg86gRXJzQ2263mk6nGo1GKceQ0yaTSbjBAh80ggh7BN7O4Aw5yoMvnJ39z1s6nCxhweq/R90APhSRQESAL1O+nRQiuZAceB1qDFus5+2dXDfFSdn8kuFwWJhB5mQfxYjPtgGefHwGTW4x5jhOpnnS4LpIWGVEWJ4wvDiheKDwm06n6vf7SUmXlBKuqy/8W3DnhH+mnhR9pxvIQ4oTBkvyHAOBQEB6OHPRWwaJhcQaYmneMk4ucaLfN2lBdfZWjv39/VTo+PnYTdIdxXkbIIUB7jViuu8SCVnDPEp3S0lK6j/5iFzjs0d8sDLw+Siew7z9w51kkgqtIDwzd0RwXy4KueCTF5Ecw0Umd2m5aEaBgpouKant5FHf8dj/TXBPfLkrkGfJcck1o9EoEWHhBgsEAk6+OPGFcOut3NKuVd/JK69pWNfTJufuVUR8aUfi8F53MSGMeD2BI4t8R+s9RBivQ2yg26NarRZma+X5kPxBbCcmI+x7TZa3Z+bzwLh3r/W4Zs7v351Y8zhfRoTlNZXXNNQ13HM+33M+nyeCajwep3txwaXs3wXPxVsnuVaeBTUTRBguZFrw30WyBQLvO4IIKwEBjeBBnzYtcE4CEZzcweS7Z3nrhKTU2rherzWZTHR0dKTBYJCC2/HxcbqOnICpVqtpIDsBPSdVDg8PdXJyUhhaSfskpBAKPO0oo9EoDVmmfaZWq6W2wdFolBxhDOnPlfh6va6Tk5OCrRnnW97SSQJ1R1uemCkyQK7O83u3CnMtEGDsqNVoNNKxUOWvr691dXWVnAe8z1UWJ8Jc7aI9lETKLAPujyRxfX2tN2/e6KuvvtIXX3yhv/mbv9FwOIziJBAIJBDPvOWexT2LWdRz4i/kkw/T5bu3G/IaFGQKisPDQz179qxQdPBzSQVXl7eM7+3tpQKj0Wjo4uKiMIPEFfx2u61qtVpodYTkohDi2pbLZdqJ6ubmJrnBvAih5aVWqxVyDeIUO2EtFgtVKhWNx+PCzySle8TFBbwIZGYXhRikk+cZV8zr9Xoac1Cv19PnRuvNYDDQzc1NyguINL6rJCCHULTgyB6Px2ldQUsL+fvm5iblmsvLS93c3Ojq6krz+bxAIAYCgacJyHNIffIG616pOOBe2gnM7pRyRxR5Zj6fpzwynU51eHio8XicRPlOp1MQe/LZVo1GQ51OJ52H1nmAaOA1jY8RYH3Pe6ltWKeTs46Ojgpr9+FwmPKS1zS09nPtxH3qO8bKsAkJx8hnb3lrqBNa7lp2ks7JMs6JiQECjBxDjSUp1RyDwUC3t7dpbpe75nxMAPD6lhwzGo00nU5THru/v0+5kN3u+d7tdnVzc1NKsAUCHxKCCCsByoLPYoHIIaD4nA/IGQK779bogZGgBsnGfDGC9OHhoRaLRUFRdrKHP7fb7dT2x2LX7bgszjkGysJ6vU5KAcUBQZR7Zm4Ki3ESFw4z4AQUu1fhvCJIo4a/ywGVq0yeFLhfb0Hh3LyXJOFJI39eFCZ5wKePHnjB5QmDfwvS2yTMfAHmsLntmHP0ej3d3t7q6upKr1690uXlpXq9XhQmgUCgiK0eiCXAWx+8dTxvvZCUihWIM96Ls2pvby/NZkFd99iGQ4zjQnblijxFD7mLhXmtVktxcLVaaTwepz8jZEyn00SYjcfjpFZ7/mEMgLcfIrpAOuUzaHA442YGnhPdteCtjuQR4j6FUB6ryTO4EfL2VT82uQ8hicLMPzvPp+5I4LibzaawIxctPji1cQbe3t6m4qTX68VmLIFAoABqBG85hOBwEQVyxGdkuSAt7eoj3Frevu+7CVPTEJs9z3hdA1kD2cS4FuIXcdF34nWSjvlUuIoRk4j35CGf/0WOdFBj+EYkjUYj1RjE5L29vVQ35C7hfCSOtNuR2HMFOcDrCkC95TWNd8u46w3hhHZIiMC8jZXvfN4+NgBThm9+QBuoC0yMeRmNRmlTltls9uAZBAIfGoIIKwHBwRess9kssfeQRd424TOm3FKaEzlOhFE0oIDs7+8nNwCLbQKfL8IJ4vwdZ5irLr5gh6jx4f4ETAZUeiG2Xq9TcUORwEBMEqm3H9br9ZQ0fGfGfK6LuxXcLs3vpF1BICklpfzZOfg5ypbvUOM7RKLkzGazZB2GRMxdd16IkHAoKnmOJA1+RuKmkIQEu7y81IsXL3R5eal+v/89/QsNBAIfC7YqLiQhaGiJl3aDiomleTu5pEKRQH7AkUVcIoaymPcFNz93gaHdbidln1xCAUWLCQIIM2XcxcTrKMQg+SDCqtW3MxkpNI6OjtRutx/kGq4HEgy3GcUYLi82FaDY4YuFvTsRcCfzXLgH8hqfQX6e3BVW5urCneDDhHFnczzyizuOuRZJ6Xmh8NMSRL7HfX59fa3r6+tEiJHbokAJBALSLiZJu5nCToThBPZ6xtu0iZu+FiZWEtOI8cQnfkcLvM9azkmnarWa1vBHR0epRpF284Q9znMub230ofu4tZw08jnMkG9lecZrmnq9XhDX/Rn6mIHHWiH9ufMceQbelpqTZTwrF/fdGCCpQFThckP0cpQRYeQ1Pq/JZJLaKjebTep88rnI/X5fg8Hbne8hwmLeceBjQBBhJUBplXZEC4tOFq15UJF2wZD3AH6eq/d5q1+1+na3KLfG5n3hzG+hFYPk5MdllhdtfNh4UYrpBXcXlgd2drxqtVqpkGi1Wik4OqHlu2r6jpfSzj3Fot0t2LVarTAPwGfS5DNZeA7ecgm8SIKMg5AjafCsvc0TZ4Ir8K4ykTydyGR+Dar7fD5PyYzNCQaDge7u7vSrX/1KX3/9tb788kt9+eWXmkwmP/C/2kAg8CFis9kWdgBmAerFiM+7YiFMbEJJJ457DqpUKkn8cAED0SVfnO/t7RVEFkmJfEIAclGAFhhIJeIqLuN8nuJisSgo3ff395pMJmo0GilPNhqNwjxHnynjuRXiDjKN7dwRcvb391MRRg7ifS68uKObPMOzo42d58RzoW0UxwDvJX/hCh4Oh+r3+2lXSB+jUKlUCnmYn1WrVc1mM/X7fXW73UI7KTm51+slsvGLL75IbrBer/foPJhAIPA04TWNpBR7JRVqmLJxLi4muACTt/t5TSPtWieHw2HKL757O+t0xB66SojP3gqJmOOtiAjb3pnBPeCA9rro8PAw5RlJaROtvKYh/vvuyuQDv5b7+/uUe9frdSLwON67akVJ6Tyej/wavO4jn/FZeBvpeDxOji7yic8O8/UETjauZTKZqNfr6ebmJs0v5l739vaSeWI6ner169fq9/vq9/u6vLyMuWCBjwZBhD0CH35IUvABhzmc7HL7qrdpSEXLLH/PWzC8wCHRLJfLpFSwgEbR53olFbYBRgVHMfGCyGdeeSHgtmffbSV3uJEgvIByZZvhjZyTREN7jSsxzDvzQZL+/Pmd36c/d75TJBHISYgkTR+inF8r53T1hq98LpjPj3GVajQaJVv2119/rVevXqU5ZLF7VyAQKMdu4Y5SKxXVZF9Eu3vV41TZbENJKYf5YjtflPsie7FYJGWeXAO5RDxkGLG3Y+IWoyjJW1tQ6sFqtUrH86LA3cI4oCGouFfiNwQgucavx3OGf/EMvP3Rc7vPBvPc7NeV53meB/NocCpQgHL//jn7Ls3Ahx67wk+u4TW0qDAXZjgcajKZFJ57IBAISLt1fk5ukRe8A8bhrlqPd3krOMeB1M9jkMdGiCVEilqtlhzKEErSroOEmOzkGD/zGOqx2sk4r2m8c8fvw7tvqLsgqDxHQIJxTvKu1348T563tyL65wBxh5mBPMLn4HWWj4PxTQD8y0f1cG08e3I16wnPM8zS5DPz+gkRhvmdo9FIk8mkIMwFAh86gggrgScHb2v03znJ5a4hL0zcAZYnCj+XJxJpN1eMQqFSqaSdt5jDAlPvSrrbdrvdbjo+yBMY8KThBYO7snivpIIyz+I8Vx+8RcYHQlLEeaHhLZn+7HEEYONG6fD7kVQoAL3/3hUQJ8Kc+OLLh0JzbJLBZrNJ6vt4PE7K1N7enur1eirWbm5uNB6P1e/39fnnn+vq6ko3NzfRRx8IBB7HVmlDFkmFuMOi1wmY+/v71E7iyMWXvG0jzy953gG0/pFrIJna7XbB+URe9FlgFAi5g0BSIn+4HhcHPC/6/Xu7Oy6x3DWM6xlnAHnCxRHuxYkp5l5SlJCjIALzPOgtllwnz9pJvjzX8HtJaf4KTj0n5rg+2k9Go1GhxYcC7e7uTsPhMO1GTI5haHUgEAg4iKeIy8RoFys8djjRn3dM5O15eczxThP+Th7zY/oGV9vtNnWuNJvNtM730SXj8biQC6UioZVfg4smeSx3xxuiiAvpHMPvhVEAuMHyTiAnwojT/px8OD2voY5w8svNF05A8jzIYT6nk3xIzsmJznxnyru7u9S2jxOMvAkxSTskr+v1esl5FvVM4GNCEGElgKHPAyhBDWUCxRy4oo0LC2eWq/zAAyfwIsUDPIv/fEtgHw7M3K+crSfQMnuMYJ8XC8wCg9w5Pj4uFBs5kZdfh7+GgM+gxdyJ5c/Tk6kTdZ5saC3BsuwDJN1CfHR0lIK4D4nms0BF73a7mkwmqlQqajabBRKPwuPg4CAlPqzD8/k8WZX39vZ0fHysSqWiwWCgV69epXaWV69eRdIIBALfjIoKBI+3YZA/aB9hwc0Qe+Zi4cZiSL4PcEfxzls0vHXRW/ndHUUuZBFNPkIVZ/A9IKeUzYTxospnsbA7F+d29dyLL1e/fddhCDbEirzQcLXdc43HZXdJc/yDg4M0R4brZwyAD8v3XIPjmc9jNpslt1alUkktLlyDu7Ehsyg42IjANzZAne/1eoXhxZ4rA4FAwOH1B7HfZ+He398Xapoyp5SPMslrmpyc8hhLjPPrqFbfzq6kbZ3jE8c8z7hAzTF9NjD1QD5/jGsnz7CbPMdwp5nnHa9TvHWd99Ad4tdLXnHCKjcRUBcCOl24D2oyF374GXmGvMsz9pEv3W43bYbmuz9LxY0CEI6YW4zJgs/+8PAwbfSCM5ldNnE6BwIfE4IIKwELaIIcBQAtDbmS4A4ndze5S4rgnJNeBM7cJQb89SQw2v0gvfJj+HlZZHu7DAt6iCXUcgg01Jp6vZ7e48q1E4JO0JG0vJWU50bS8cSWqzllbaKeuJlr4O/z+SxOSvrQTxT/xWKRiLDhcKi7u7vCNsT+em//IfFxP2wcwBdFEDNhKHxc8Q8EAoEyVFTcbbAs/kOigFzB9lZ33u9zH1mIO/lVpuZLux0qWXy72OGtgLnLmQLJXdDuHNvb2+0+7AQQM7fIGdPpNOUvLwLKRBd3XJFrXDXnNbkz25+337eTgBSL/pwpsPzYFBk+I4eZnDi3aANqtVoFYtFJP9R97s0JTMg+nNYo9TiuQ2wJBAKPAUHDv4iLvm6uVCqpw8Fb85zcyoktFxxyUuyxuOTu5EqlkmZk+lgXdwZ7yx/X4B0ktFZS1ziJxP1T03B9vjuzE1ieA/IZjpyfPON1mAtF/kzzrhyeX1le5Vl7zcbzwgzgHUDL5TLVHBBVnmfzZ8V9swELzx9XnuchXGMINNRugcDHhiDCSgDh5SoAxUY+BB8bad4zj7PLHV6w/RQPfp6cbOL4gOAMqbO/v58W3a6a+7HcFiztVIFqtZqGFtPqwTFY/LNNPcmIIE+PP/dGOwqLdJ4ZSci3Qiag+i6XvMbnn7it2YsGH4AJmec7q/CcKU58vs5yudRkMtHNzU1qKeG9JH7Ow26Z2+02XSs7ufHMOO56vU5Dmm9ubpJ6MplMojgJBALfjMpugUzc8hZE4mGz2Sy05rFgJje5e8t3HXZBwguKx0h6FwTyFnXOS/yVdvNaiIdSsVjabDYpRuMGg5Tb399XvV5Pu0CyEOdcnhcQHCgKfA4L18NmMiz4PQ/wGvKqq+Q52eZ5BZed767p+Yh2T4A77fr6Oin15Czm31DEuGuPlkoUd0g37nk6nSaX8e3tbdoUJxAIBN4FRHgnYVjH5zmFmsZFatb+0i62s87PiTA/jxsHcnhNg4hAJ42kRGpRO5ETPM9AVLnzOZ9rzAYjEGFOsAFvxSS3UNdwb573PMfQNUJrPMSS5193h5FfXSTy2cbe8eLPSSrWk+SZ29vb1OXirY0u1Dj5OZ/P0673uMFxq3HP0+k0GQe4x8g1gY8VQYSVgMU3QVZSYcit7/RBIC87hrc1EgjZNYpjsJAGvqD247pisVwu0zHm83myB7NQr9VqhS3rgRNlFBa+qGdBTxA/PT1Nxzw+Pi5spUvicvdZ3r+PMkERQBD2nnYnD11NgSRD2SEBeNHDdWL3pRgkmZNI2YqZnR63263a7bYuLi7UbDZ1fHz8oKWUczKLjV00a7Wa5vN5+jk7UE4mEw0Gg7QFcZBggUDg26Ba2c2eIg67W5dFOk4hb3NEnHEnsqv3FAe5s9jdAHmecQGI+YYslMmNtF7QRsF1cQx+76QVOWC1WqVWT/LgycmJ6vV6ck25S5lixHMFIg/tJYg3Tlj1er1UrHh+8pks3rLJ9XkbDq5hXssz8ed7fHycWksQTpgnuV6v1W639fz5czWbTbVarbSpirubN5tNchF70bVYLJKwQhukFzGBQCDwTUCEh6xxNyyChNcYLqxLb+N4vrkItUQ+aoU1N2t2qbyWAdQ0vJcRJ9LO+cyu7O5AzrtJfBwNNUo+CoZYvbe3p2azWZg7mYtETryRP8ht5Gfyi8/H9OtyJ563muadLd7SiWCFaYDXMBcUE0SeZxqNRrq/er2u8XicZlVyH6vVKrm83P0H8TWfzzWZTJIDjJ/5JjeBwMeGIMJKQBLwNjlQpiI44y8V21PcQUYwzFtWCDJ5i0NOsOUztZy8yncXyQsarhelxgObk2MQXD500QsyZpl4IcaXzxbgubgzwK/Ri7Wy+/X2U38PDgK2ryep8DxIUD7En2SAM4Jt79vtdnKsubKUJ2rOyb8FZsigrOB08+2LA4FA4FuhUnQhE6cAMc2dTK4WS8U2/Tz+EDe3221qgXAVPY93Lmh467uLETiaiafeHikpuWrJIbnz2dtKKGCI9fV6PZ1vPp+nXOZt8lLRyeDPgqIvby/x5+mjCnCh8Vqfi8MGNexYSY70XMHPaJNnjgufCaJNpVJJeYJ8hDDGs/LnCKnGRgDT6TQVJfmaIxAIBB5DHvPK1qh5FwY/y1+Tt1MSK30uFeJ+7rzy4/h3dy+R37yW4e/e2snvnBzzc1KXeKsf9+UifT7GxjtQOEf+bLymcTeXC0ve2ZO3jHpu2NvbK8xmlvSgpuI8PAPfvdK7Y7gn5oBB0PFcyDsYKXxkDcQXxB5dPtF6H/jYEURYCQgSbmH1AOdBkKLAnVcUMigAvKaspcV3rqL147FrAnmA92DM4r0sCHv7DX/2Y/v9etsJxBLqBKp1Tpp5AeGDjXkmbl0mIft1+nv9PRRbKEXNZrNwDM5DcmEnms1mU9jBS5IajUYitngNDi/ULT4vV2go7BgiSYvKbDZLfx6NRpEwAoHAdwIxNnfwSjsSq9FoJLLs7u6u0DIoKYkV7tL146Os52p3XtT4Qt2JJ29991iNogycLJNU2Lbdi4E8NpNrDg4OdHh4WCDJuBZvnyEn4cIiNntbJy4CH13A83S3MOehoGg0Gslt7PmqUqmk126323StPlfFCwd+3263JSkp+Li5yCtcG88etzZ5hYHF4/E4FTeRZwKBwHeBx38fqeLxO2/Hc8eVE17e+sj7fF4l9YYTR06I5USaE2GMTeF685rGY6XXX147eE2T1ynSTizJ29E9z+Ca5oufeZzOaxq/Luo8J/sgrhB8vKZxNxjXKynlEWoy6a07nFxPveOdTOz0SFsk1+A1HUQYY2NwJEOK0XoZCHzsCCKsBD4rigWrB3zIotlslgKTB0j+7qoDC2lPJsycOjw8VKPRSDtClbmKUGIguyCGUBJwSPkQfM6VB0JaBT2w8j4n7lAVuG+KodwG7M44vqPy890TIgoI5+b63IngMwgODw/1k5/8RJ1OR41GQ81mMxVnNzc3qZiiKMM6jKLuKjuJfblcph1WSBYUJvkA/vv7e43H4zRbjJ1WaLeEEIviJBAIfGdsVWgFdFdt3hoB4QNx44t/FwikXVuJpLSoPj091cHBQSLziY2e4zz+cV5mRtJ24WIOZI5fi7SbDSYVt7nnGtkRUVKBbOO+EYbcLcZxfE6Nt/Z7+wzxvtlsFlwCnme8FYb4/8knnyQyjPeu12tdX1+nIoG8fnR0lH5GuwnXg3g0GAw0nU4LZCDnklQoAH1b+8lkknYC8+HGkWcCgcB3AXEORzA1DnEbksY7RcqcXNQuXmd4SyT5hjwBke+iuB/LhQmvZ2gjp93dd0904s6JsIODg0Id5pubEPPJMeQRhBqeB4Rf3haaO8W8pkD0aLVahfP7dXrMJm988sknarfbqX6DgOt2u6mmIbfu7++nn3le9DwIAea5k+fg18DnTD3jO0Ii5vjMs0DgY0cQYSXIrbcEWOCJwxfmvFcqDn33GSPeFkJgJwlISgWOqxfSrq2QwoPiBEUBYswJMD+nw62+rvjwnYC8WCxSQnCXl7d4kmS4Z16DMu6Dj6XdzBrp4Y6QJCvvxSchPnv2TM1mM+2cRiIouxb663F6+WfqCo1bjyEkfRdJzrFarTQcDpMyj4UYopACJhAIBL4riK8+e9IX0R5X/T3eEi4pzY50Al/aFQvSbvcs2iHygfOc213GtVotkWC+WyUFkH/lrTfeLu95ye+DVnN3R/nMRq6HWWcQR+4EK8s15G7EK8+7Ph+NWSnNZlPNZlPPnj1LCjvXks+lIV/5zlqz2SwJTwhpXoDlYpaTZuQrnwmGA8zbLYMECwQC3xXEZBfk/btU3OW3rG7wvISryGua3HXrbX6QTxyTWOokWF7TsB53UcY7c4DH8bwN0R3I1CUQQ9Q0PgPM2+lzocTdy+784j5o6ffxBu5iw9kG0Xd+fp4MDE5Oep7xXE7bIgYMd3dzf/zO6yKv3Wi1x53MRl/u3M7dc4HAx44gwkrgim7ZQGGCq5MfeZAniOQqu7QbvO/tkSjMBDxf+HqhxNB2gmmz2UzEWKPRKBBbPlfFv1zZ8ONzT6vVKrmdcI/ls84Yaun24vF4nAI1jjNPMO46QwGhOPFnz/U0Gg09f/5cZ2dn+uM//uM0JPrq6kqz2UzT6VTSzjrMMReLhS4vL1NxkoPnQsJtt9sFZQYX22w2S60sNzc3Go1GaUg+BQsKzGMtrYFAIPAusGiFOEGJRYTYbDZpYxNvo3M3lKS0Hby3WHjhQo5i0U4LSr5Yl3atLuSY4+Pjwg7JPsTfWz88x/h3aeeS5p4ODw/Tons4HKZigxYTL5a8GJKUcg4x3vMGBQfOs/39/SRWQATyDNmBuV6vF3IN5Nnr16+T45dnW6lUVKvVdH9/r+l0qlevXiUiy9cJ3Mdms0kbAdAC40695XKp4XCY8gsDkH0GJc7mQCAQ+K7wmoSaJnc9STt3qv/eOz04Fq8ljkGgeMcKJBaOKW8rl3ZkGhukNBoNtVottVqt1O7nO1hy7seILieu/BzkmNVqpclkkoi5sllnCCcQgsz9pa5x0s/nER8cHKher5fWNORE8tL5+blOTk7005/+NOWI29vbJNxTX/H67fbtQP6rq6vk5PbaDhIrb+9nnMJ2u035qdfrpU3DvNXexw54108g8BQQRNgjIJh5/7f0uMPK2X+QW2tpP3EVX1JKBpBE/OyxLeubzWZSUFDoUcY5LwnByTpPHN6370EV0ovCzBUUCLtWq1U4D+Rdv99PM7NIBBRU3F+j0UjEFUkFS663Th4eHuri4kKnp6dqNptaLpe6urrSeDzW1dVVItlwwe3t7SViajgcajAYFJ41ahDFYqVS0enpqU5OTnRxcZG2qb+8vFS329V0Ok099j5QEoKQlsgoUAKBwO+Czf9dqLorFYIKISGfWyg9FDscPp/FxY/ZbJbaTRqNRorD/iUVByDnbfNS0fFMDskXzi6y5K0k1Wo15Zq9vb00d5L2P/Jbp9NJ1+6zS4bDYSKKIPR85paklGtwHNDuz31ut9tULJydnRV2BR4MBhoOh7q8vEyv9edAO0mv10uFCcp97lirVCo6OTlJggtFy3Q6Va/X03g8Vr/fLziuIcAQWkKdDwQCvwuISx7LPLdIeiCMuDjyGDHiNYTPEfaxMKzTyV2eyxBc3A2GyOKbtJA7yq4jJ8jITb7up37CFeydII1Go5Azqf8gjWazWWFGpo/NoQbz3Zzdbb3ZbFIuOj091fHxcSLN+v2+xuOxrq+v02td+EHwJ9dwTAQUiDGeycnJSSITqau63e6DmoZ8Qs6B7PNxMoHAU0EQYSVwxQOCy4OTt5w4/O95EsnVFH5GkSKpQLb5F+SQB123IXMsd3gRzPOWTT+3t0Py3RfxvvsVScIdBryHZOPtHbzP5wZwHH7G8fL+/Hq9rnq9rpOTE9VqNVUqFY1GI3W7XfX7ffV6vUIrDiBpTKfTdN+oO2wLDBGGo+3o6CjNb1mv16lvHhXewb3heIsdIgOBwO+OXUuKz0JhmK3HOvJB7uLytkN+70KMzzZBJeYcLsy4qEMbe+78wknl+clzTe6gzq81b6Un39Ci6bnA4e0t3p6eb2bj1+D5huLI515CuB0fHycC0nNNv99/0C5DgUILo8/aoZggV3Ae5qExKB8XXL/fT+KK53LuDTEsWiIDgcDvirJ5i8Q2SYX4nMPzhvSwpsg7UCQlYd9b/fJRAIgtvjOypEJe4trd2cZx/fx+rtw17XmG+yQn+LF8fA3dHwgwUnG3Yq/zeI7eLuptk7VaTe12O+12Px6P1e12NRqNNBgM0ntpldxsNoU8w/lp159OpxoMBmnWMTXN3t5eElDm83nKZdRnft1OhPEVNU3gqSGIsEdAACU44pJCFfefo4Q4nKDxxOHvZYFL8MEKW6bukyg8aUg7ZZ7jA3cC+DXkM8GcTON9WGx9vhbngwj0Nk9stqjY3I/vuJLPLsvbcEieR0dHOj4+VrvdVqfT0Xq91mQy0RdffJHaE9frdWFeDdcyGAxSAeKtmMz36na7yfZNcqJgZM4LyrykpBRxnSSkwWDwzh0+A4FA4NuiokoicyBNUNFdyWZG1mw2KwwOZgZlWd6QijHfY3O9Xi/kDIoDn8tCDEXwoHigmHCXGK/xIofr8ILIAbFF24lfD/frrgV2uJrP56k4IXfyWi9yOKe3KU4mk7S5Cuo5Tq3FYqGvv/5a19fXaYAwTmhElUqlom63m9xrvgslTrLBYJByzdHRUdocBrfZYrHQYDAoFGZsQkDxM5/PY/ZkIBD43uDiOzHaxQ4nwog97yLHyo6PUIKoTuzPyaN8V97cNOBEWE5S8bN8xpmL9ryGvAQx5O/1sTCeZyCafBSKizMQX7lY47+HiGPn4FarpePj49RB8/LlS93e3mo0Gmm5XKZn4ccZDAap/d/HA9ze3mowGOjq6iqtEagPF4tFIr/okvENwSDLuE/yb9Q0gaeKIMJKkC++fWiv70IivSWGfAcPabdbiaSkwqNm5PNOsMJyXqzFrmb4dUlvgyQJxh0DfLkLywsLb2Px4+UFg5NcgG2RsePmg525ZyzD3uJIoqOwccWIoqzZbKparardbqd5NIvFIvW0UzRIKiRuL6D4897entrtdnqe/X4/tdLwmUlvkwxKDAXJ/f19oS2H4mcwGKjX68UOkYFA4PtFZbfwdRWZDVSI6+ws6S4oH0qMuks+8qH2fPf2RJ9pleeafLdJn78lFUk3nFS0hkgq5DAvojy3svCvVquF3TEpBiC9nKBjoDItLlwPpN3R0VEhh0lFV8LBwUHKDRQotKkMBoPU8o7Y4xvQIAx5gcY1Udzc3NykHOGO5V6vl8YX+IBm7tc/W3JVkGCBQOD7ALGGPyOUE3/cBUyXhrcYelz2TVrYFMTdzFKxq8bFf88xTiLRjkf+cmc0sZ3ahuuQdsI898W5vVZywsoFJ+7z7u6uQDTxvnxTGM7HaBcXibym8s4WvpNnaOv3nRq9LqxUKqm+2Gw2qVuF45Bnbm9vE9HF57jdbnV5eZnyzGKxKLRbkh95rW/2NZ/PwwkWeLIIIqwEZSSHB1cWxt4yAuMu7YJvrqx4UnDF2s+Z234hm/waPPCXOa/ywcJe7Pj7CYjAk5nboPP2y+VymVRsH4jv2xW74uRusDIFB3cWRQrWYXY0YRgyr/Vr4vwkZWm3wyZEGIOSPWHQfuLqlRegtE2yUwzXEv3zgUDg+0RFD3fCkpTIn7ytxBf/xFPimu+mW9bKkueTMmcwpBiFgr+XGE8sJWby57LWf1fHgRcovM8LFO5lPp+n13kORmRBvOB4ngM9//EMXESBxKKlkaLA8xn5VdoJQz6nhutll2XaGd1hQLGFkATy/IgjjfwaYksgEPg+kK9Zc4Hc1/7eMkecc5KI1jyO47MiOZfnGW8/zPMPggNrdX+PE2uI6V4/uRmBY7moz5fnJ/+dX4PvJuzzL8knCPxuNsjrGX+eCFSI/JBiiCTz+fxBvcJxvKYpyyWMZ/ERNLTb0wbqdYrnbfIo94yrOmZQBp4ygggrQV4gSEqsPIN8GbIo7QY6khR8cevqBWQMr3Xl3gsCJ9RwnxHU2HGShTLbztMmKO0W+GXWXQoHd7GRYCQVFPWcwHLLsBdNEH0Ubfv7+ylReiKhCPECZW9vT0dHRzo9PU099Mz6urm5Sco4x+aZc+0UWzx7J/FoPyFhuEJPsuF5o/S0Wi09e/ZM9XpdktLw/W63m3bCDAQCge8T3ubhsx6Pjo4etOezKJd2i1ze73HdhRff1YvXU+jgjmLh7sKNb7tOHG40GgWHgW9zD3xejJ+HY3sLJnkub8N0dZ3cyBwTF098JzLyjQs6PAPIs2azmQordkW+vr5OJBYOLRdbnARzRzPXS17kdbgG/Jr9PVxns9lUpVJJ29mXzaYMBAKB3wXEYdbPHv9pE/eaBmIEsdjrAWm37vdYyPtYhxO3/ffE4Jwoc5cZjrB84xifj+wEFLWQz1N057G3+uciCSLFdDp9YF4gL5I7fDfNPM94ncU9djqdJKrj0Or1emm+sG+MxrX4SBtyued2NljxecfkRie1yM9cC+MWJKWxArTfR00TeOoIIqwEFCEeTHxRDJtPoKxWq8ly6kpG3ofuioWkB330BFdXLFxd8J/5deZWYG/hzAdhuivMVWdXV4DbnN0inScaChmSKPBr90KL9/Cz8/NznZ+fp62Cx+NxUjR4ls1ms3BskgRDJO/u7gpFD3PLRqNRIZlwv+5AqFQqqtfrajabev78eWqdub6+1s3NjYbDYWq7DAQCgR8KTmyh9gLimwsK3qYv7ZxbPu+D1sPlcqlKpVIQctxdxrHZqdHdvhQ05A6IJP/ymV5eVDgx5zHUVfucAOM5eG5z5wKtMl6Ycf0UUT6i4OjoSLVaTaenp2q32ym3XV1dJQeWpJRvEEIoQO7u7jQajZJjy9tA2aBlNpula3CHgrexujrvO1n2+31Np9NohwwEAt87vHWPmMl6mB0Iie+IAL6edyeU1wqs0yGgqGl4rcdgroN4jwjA3/01eeeKx3aO5+8jd+QmhryW8nyRPxt3TyOM5zOhnVzyVkOvg46OjnRycpI2YHGSipqGVke/3tVqpfV6neof1gCAdsput5taKsnL5Gv/rLj+RqOR3M102OAqi5omEAgirBR5z7fDA46063N3pcAThrdsQJS5lRgyygNwXtjwc1dZ8h1UPMF5EKeYyJOAJ6/ctuw/d7LN4SQY5/DZZP47ii4KL35Xq9XUaDTUbrfTNvYM26doo+Bx5aVSeduKStEwn88Lioyr8N6K4s81t04zMPnk5ESSCr38vgtlIBAI/FDwOC4VW+XdUeSFiYNZjlKxoHDhg1iauwNcSSbmUlzk1+hFjjuSnQgj1ntO8aKD64G887xE7gE5ueZ51x3UFCgIM+5IPjo6UrPZTBug4DZmPlleYPFFoeiObp936c45Jxb9fv0z801eINa4lsgzgUDgh0Aex8u6OvI4S37xtbfnB2oG4rnXR+QX4mpOQnFM70hxAsyv13NNXmNwDcRkfldmGPCflbU0+j37XE0/phNhuekBwaXZbKauHNzUvlGXXzvHpV4h5zJ/jedKnoDA8tov7yTyXHh0dJRyO+dw8ScQeOoIIuxbgD52AjfMPXZXD+i+gGaRTvA8ODgoKC++kJZUKFL4O0HQAywzScqIHto6Go1GCoTu5ioDwd6tybmKnwdttwV74uMa+H5wcKB6vZ6eiRNbrVZLjUZDJycn2tvb02q10tXVVVLHCeJ8r9VqyQ1BUjg4OEg991iOaVV9jAhzkg5l/rPPPtPx8bHOzs705Zdf6ubmRi9evEg7rgQCgcAPgkrRresLdNr+fJ6It6tLu2Hw3roBieWtFijTHJ9YyqYrLNb39t5uNuIbjqD8u9hSr9d1enqq4+PjVBT5dXqB43mD6/Fhvr7ZjLe9kBMh2zyuUwBQHJH7eEYo4Xt7e6lFhd/f3d3p+vo6tZlwDvIUIwIODg6S44vny7P34obCg9YUnG3SrojjNWyCsFwu027L8/k8ZoIFAoEfBC5AsM53wZ5YBuHv9YwL+tQ01AyMQfHOFM9X7hjmvT7PCnGCOsIFbsAavdFopHrAa5qcYHOHsddQeS70jhDeR9cKnTpO9lHHuMjiz4l2/Vqtplarle6p1+ulDVAg0dxFzXGoYXwcgLTbyMtrHHIL98R7pN1InVarlcg66qXxeJx2TQ4EAm8RRNg3wIOpqyIgV4Lz1g1Xw73Vw2dW+fBIqTjsnaDNLlR7e3vJcttsNtMgeSfrDg4OdHJyolarpWazWbgHkpHvXOXB9DEizBOdb/nO+z2BVatVNZvN9Bx8VxqG0EOCkUiHw6HG47HevHmTCqS81TJ36vm1S7tdMReLhUajUWqbhKhzJcZJw2fPnumzzz7TwcGBBoOBXr16paurK43H4+ifDwQCPzg8p0BGOVhU48by93lcpwDxBb2k1MKP2oy7ifjssR+HLYTY0dGR2u12oR3DRZ52u61ms6lms1nIZVynzwjzuWH8DuKInOexHTWdc0OE4eLiGt11zDOBdGq1WoXnwc6Or169SmMOKLByZ4Ir9TwzqdhW5FvQc53kYl5LXoYEY37lZDJJ7wkEAoEfAp5fIJFYw9O+x+vYjZeY7KK2z9babrcpZhLDWWO72whixgV3iB1ieKfTSaI5c8l81hhxnjyTt3r6cZ2QI2f4PGGvySQV6iHvtEFQh2xDRKGu4Zky+qXRaBSElsFgoNlsppubm8KoF87pJgjO57mGa1osFppMJur3+xqNRprNZoXN2TwfU1M2Go3U3r9ardJmX5PJJGqaQCBDEGElyC2zPoBR2llnvUXR2xpyKzBB2EkYgiKB1uFtKZBRFAM4qXB7+fHdmttqtXR8fKzj4+NCYHdFhgLFByy6FdqJMO6P4oDvvrsMBYC7x/zecATQpkIBNpvN1Ov1NBqNNBwOCwnaPwNPVCQNL04g6VDwfU6OOxS4Pgq8i4sLNZvNpN50u10NBoNQTQKBwO8d+UI9L2I83km7uWDepuItGC66EN9zBxaxGJIKFxhiBUWQt19QHDWbzUKuobBwRZuWDyeKiPMcr8yRTDHmTmzymOcIigF3rXm+oXBZLpcaDocp1+RjA3g2PF/fydFdXvyOPEQu4p78vtx9vL+/r8ViodVqlcYARItKIBD4IeGtgoBZjz7mRCqutYm/LtL7ayCy+Fn+Os5NvvB2eHZqZNMQj+fULO6cYo7v8fFxOp930xCPqVfIZ16Pefu9izPkqzz3cC/+jLwd37t9cBFLb4WO4XCo6XSq0WhUyMluTPDnRssiRBjXABGGexijAPfkRgB3T5Nj6Vyi/T4QCBQRRFgJcrtsXgCgLler1RS0ZrNZIXCi6nugynvOcXF5UEX9IGB6mx/nkZTmWXU6nfQe2lWOj4/1B3/wBzo9PdXZ2Vlya/mCHmKNRbwXRk4YEYydFGOQo6QUlJmbwv3MZrPUwog9F7WEJElQv76+1vX1dfo7iUXaFRw8L5Qqhj6iKm23u10iLy8v0y5g6/U67ZjiO87s7+/r7OxMz54905/+6Z9qPB7r6upKv/jFL3R1daX5fP7D/iMLBAKB/wsIHG8f8ZhKKx4LY2LiZrNJrRb5Fu8s0p0cqtfrKZ6TF3zwPMUAu0ltNhs1Go00Q9HbQur1uk5OTvT8+XOdnZ3p/Pw8kVXuAiMH+GI8b7mn3WW9Xqvf7yeCiQKFXEuuIkdsNpvkqvJhyuQPCq77+7fbxSN00I7oz4gizeeisVMXKjyvZ9jwaDTSzc1NcoOxNuCYXiRB1OEEYyOXQCAQ+CHh5Lz0cMMt2v4QHKgXvNXdW/rcGev1itczxD+fuSjtXMDEdwixVquVhH7PC7TgX1xc6Pj4WCcnJwWDgO9IzBe/89qL6+C93k2Dw1jatSJ6/kX499E3tNyTN/2ayDPz+TzVNOTosvZPF/Ank0nKR4PBQN1uV1dXV7q6ukoO6XxmG9fGTsqtVivl2263q16vp9Vq9QP+CwsEPlwEEVaCst1SAME9X2y7K4yiBYUDxp9FMe9HPWBGC6oBAdwVArfortdrjUYjjUYjtdvttDMjRQ5zs+r1eio2OJ9bhym6nIhzsgjVwh0KPieMJOf3x3to5eTaKFq8bQQSjm3jUaiOjo50dHSU5pw5oUjSygm89Xqt6+trdbtd9fv9NEOG9wKO32q19Ed/9Edqt9uSpL/5m7/RixcvdHNzU5grFggEAj8kXKnPVXtiMTnJXUos8lerVWEXQt7n5L8PyPd2cUQFF11Y9EtK4stisdBisUhEWL1eTwvy8XisWq2mTqdTcE+TW9yhReEk7Wabcb0+/8SdBj5zk52FKcZWq5VGo1G6/1qtltzUt7e3BYKQe6Ud0of8e84nx7jbCzcbhc5oNEq7EtPKAxHHMciTkGPkutFopPl8nj6rQCAQ+CHBOrrMASsV84W0q2mIbbhpqWG8ZnDynzhNfCb++7rda5pKpZJMBK1WS9PpVM1mM8XSRqOh7Xaro6MjzWazlOO8s4N7YXwAcJLIzQ15TeO1jItReU3jIwN8IzLOjQEizzPuSvYNw9zFBmkF0cVzurm50e3trW5vbx/s8ugdSuR2CE12nxyNRhoMBtEOGQi8A0GElcADVZ40nDgiKHoLpLuXIIm8OEHB9755hgB7kPPFOMHVVWoKk8VikVoNW61W6tMfDAY6ODhQp9NJMwDc5VZ2L35NXDv3w3PI+/Zz5xxWXN+VBLWEgM+5eQ3FF+f3wcYkWamo1LhLjTYeWl5IrJ4onbxkQP/Z2ZkODg40Ho/18uVLvX79WtPp9Hv9txQIBALvQr5Ql4rt+B5vyTXEP97vDjEIGOZRuZiAKOGt8u7g8nYRzuPKPe2Q7XY7tc0MBgMdHh6q3W4XCod8Hou3h7hDgOtGfMmFFm/p5H4PDg5SPvBB/t4Kulwu03Pzdh8fI8DzICdL5XmG77SZ4EhGwJH0YJ3g7jSONZlMEuEXc8ECgcDvA6zriY254AI8z3gNQIsha3wnwrbbbSHHuEPMX+ft5L47IvWBk2TEZM7NOv3w8DANgf8mOEHmowPeVdOQe3g+PDOfq0luJC+4m8xHyFADMkPMWxZ9rhqCjrfYk2MGg4FGo1Fh5/p8nAA50lszcTLTZRMIBB5HEGElQFV2ay2BnMWwk1ZYUtnxg2DP4ElPOqvVKg1WhARrt9uFQEoLiLRzAPhuk9PpNCUcFvD7+/s6OTlRs9nUycmJhsOhnj9/ruFwqD/4gz9ISgHB13vRcRwQTAnU7oyicOJcnkxJfCQN5p9QPDC0HqWD50hyxvnFs2i326rVamq32+m6SQQQaK7Uj8dj9Xq9RGQx7NOvC4Lt/Pxc5+fn+ulPf6pWq6Xr62v99//+3/WrX/1K4/H4B/+3FQgEAg7ib94ml8+P9HYM1GZfmJNrfF4W+YEv4ioFDe3y/X6/MIje2/chpWjvo62ceS2LxULPnz/XZDLRp59+qqOjo3R8FypogfG5Y1zndDotiE7kJhelvNWQ3IfDF7JtNBoVCCyundeyrf3R0ZFOTk5S8VCpVJIrbDAYFNpduH6ftTIYDAptKjxzF5bq9Xoi2waDgYbDoW5ubgqDjgOBQOCHBjuu+w6PCA/UHLlDysUBYqqkBy12tNdLKtQ03sHC2p+8Rfs9cX0ymaT1OjH58PAwbfp1enqqxWKh8/NzTadTPX/+PI1aIc9QF5A3qWXYQMWv3UkxahpJhZqGGsJFfL92n7HsDjJ2j/ScQ8ui55vxeJzyCw4y8ku/31ev19PLly/Tz10gAqwHarWams2mKpWKFouFbm9v1ev1ggQLBL4FgggrQd7igCLgw3w98ElvZ680Gg1Vq9VkYXVFBLgawfEhadwN5WQbigFKu+844sN5N5uNZrOZptNpstX2ej39/Oc/Tw4oCg8f0kuAZidKZsbc3d2p3W6nlg627y2z2UKukezG43HBCk0ypDjhHCQckob30jNAk0JpOBxqMpkUdoMcj8e6ubnRzc1NSqx8dj5ks1arqV6v6+LiQmdnZ+p0Ovriiy/09ddf6+uvv46EEQgEfhRUVEmkkOcaH4bvA+JbrZbu7u40n8+TKJLnGWZjOUlGjEel9l2wED1oyYdIojByYsnJK2Z+saPVn/zJn+j09FTHx8eFQsvnT+IqQ+TAvUaxxA7CPislH3Is7XIOO2F5aydtN7TX8Hx9niZjBCSp0WikOTPM/mLQsT+P2Wym4XCYhv77JgPAhRdJGo/H6vf76TqDBAsEAr9P5JtruYjiJJevn9l0C/LKh7u7uE9MY37x/f19GtVCy7oPsnfR37td3JVMXeDOptVqpdvbWw0GA/3sZz9LG7Tks8ckpRyT55n1eq1Go6H7+/vkliK+c//Ubj6DbLlcajqdPmiXz+eQ+bnINe6GJl/c3d1pPB6nXDcej5PQMhwO1e12dX19nZ69z/p0R5gTh5VKJdVHCDXREhkIfDOCCCuBW3ul4u5cJA6CG4QOC25JKUiWzQAh4Es7WzEONAg4AiiKszsDOC+B1VtJILhIJszeqlarevbsWSqA3N7s6g+qAvfkA5UJ7MwN8EKNYgXlwosF3wGFAZE8WxR4nl9OhOGS4NgkREhC7pFeeJxgPu/AtzXGLcfcgVevXunFixfq9XqRMAKBwI8CCBtptxtXToTlRBJbo7uSn8PniR0dHUl6u7mJx0bOy+wwnxHjOcLdToDCA1JsNpvp8PAwtSRCunkrjTt0fdMZdyuTKygMvDgh15CX2AXSd3XkC1cAxZi36eRz2Q4PD1PhQA4j15AbcAVMp9P0M3KZF5aey9m6npbImAsWCAR+32BdndcyxC4ngni9k/kIJd5aDrxTA1KK9kbiIOJDvV5P52OWI8fwGsfd0dRA0m6DLXbfdeeX10WMWaGuIc9w/S7q5M9D2uVhxP3lcplEEd8hmJqGGooZlvzMZ5SR53j/dDpNgg+1nhNkw+EwHT+fh0bd5rlmu90W6qTHatBAIFBEEGHvAIGSIfOSCskDWyusPK18+/v7mkwmBSU8LyIgrTgeRcTx8bFqtVpyRPF73E4Ecq7P53RxXBb0EFKr1UrPnz/XdrvV+fl5su1Cuh0dHanZbKrRaKjT6aTjkaz29/cLuzN68cX5ZrOZer1e2vXE79/nk3E8n2GDW4sB+e12W61WS/V6Pe2w1e12U8Jw0u/ly5caDAbJGUFi4P0c13fTHI/H+ou/+Av91V/9lXq9XgzHDwQCPxrcWSzthJd8vhYLf1pP6vW6KpVKwaWbt1dyHOYxVqvVNPS+3W6ntnR3ZJHviLPkQW+HR9DBwTWZTNLOVH/wB3+gSqWi4+PjB7NjaOWo1+tqtVoFV4LPkKEdMW9X5+eDwSAt+sfjccFJQF6k6PDn6TuSSUqEIMLTcDhMg4nJNZB019fXSVzyYhBSUlKa2dloNDSfzzUcDlPLftlnEwgEAr8PuOAiFXNF7siijZ519P7+fhKbc9HY54kRb/v9vubzeWpvpOOl2Wym9y2XywcCC2t4J6loe+z1ehqPxxoMBrq7u9Mnn3yiarWq09PTJHi40NJoNFJNwfHc2Vx23dQ0iB79fl+z2UyTySTlGdorvY2SzcC4T/IPJBUkGZvCDIdDXV1dJbGF5zEej/Xll19qNBolRzT3xb1xH/5zTAFXV1epzTIQCHw7BBFWAh9uT2ueg4LCCSN//fHxcVIsaB3xY/A6D/QEV3ahQr3h2FhqK5VKYcaIz+vyYY8s0mmXnEwm6vf7ybqLWg+JB/mG64vWGgYCj8fjB44sSek1tJHM5/NEWLmrwe+da6cAazQaqX2R5LW3t5eIPJKqt9BAjnmbihNh9XpdnU5HJycn2tt7uzXzycmJut2u3rx5o1/+8pcaDAZBggUCgR8XFSUizNvpWaCTL3yRDrkE2URLulTMT7ka7Yt95jgyD9Pb1iGAfNGPg5dFvrsCiPW0Ffb7/VR0QRRxbHei+eyWyWSS8g0zxYjt0m5+JueYz+fptQ6KOkg8ZluSF7w44blDgPX7fU2n09QixPwalHvPfZyHohHRhZ/TLuo7fAYCgcDvGy6e525YqZgzEK8RXqrVappjvFqtHriN3DAAfE7yeDxO4gt1Bd00OJV9oxQnfHwXe/INsy0RQWq1WoFA8zqA7hZpN2KAThWfy+XiPq2QjHihfmJjlFzQ8Flqfl4IMZ+FORqN1Ov1kpCDoMJcsG63m9oky2onjs+zZUOB+Xyubrer2WwWNU0g8B0RRFgJHmuhADmpRYD1XQkJ4u4gK9sRC0WE1/iQYKy8klIRkr/Hixa/Vlc7vKWDNhmKBG8jzF0JkFw4vLxVk2cA2ce8GN8C+LF2Ha6PoojCyAco0w7JTpD+TLAPMwzS58HwhRIEKdloNNRsNvXy5cv0Rf99IBAI/JjwHaCI4/kwX+I+C3WcR/zed+HimOQGJ62AO5YlFeIoxJkr9rkqDVx4IddMJhO12+1CG6cXOV408T4XUXznRnId+cV3w/IYTnuIF2jeJpnvDEY7DXPG2KEL4gwSDUGGXJO3BjHEn7zPbs6o+vlw6UAgEPh9AqFYKtY1PmLF4xqdJ3d3dzo8PFS9Xle1Wk3CRB4LfSaWizbkKpxUzP3C6eSD7MkzPiLF46znMZzB0+lUnU4nXSP3xjG4NnIIpBEx2lsduWZEJYgyXk9O8rqGHMPPfDQL18JryDPUNBCCjBYYDAa6vb3VdDot1EkOJxw5F88hRJdA4G+HIMJKwOKb4ZI+hJE2CR+QKCkt1HFwHR8fq91uq9lspvbEfMcWb+OgQCDw+VD+zWaTSCNpN5OLIYpOunkrjSe81WqlwWCQlB1UlLwv34fye+sJ94abDMUHNxgzYnxGWb7NstuWac9EDXHnXb/f193dnXq9XnLTHRwcJLfA//k//ycpJxRvEJC+++Tx8XHaJGCxWOjm5kZ//ud/rqurKw2Hwx/831EgEAh8I7a7PJIPXfedumgl97kum81Gp6enqeXP2ynIBb59vBNjkGfkGeK17zRJTiHXULzk4g7Xi+JPrtnf31ez2UwklW8KAMlHwURxA7mFWEKuYc4W7feIMlw/7S0+g8x3aF6v1+p2u2o2m2mWGcVQt9tNz6XVaqVzfPnll4Xc5i5qcrOLSLSovHnzJuWxQCAQ+DFBrsCVVVbTAOoMNgfBfdTpdFJLPsPrXUwhp7i4zhfX4I4qF749n3hboRsJ8hb9u7s7jUajlGfYjZhrkXaCPn8m5hPTic8HBwfpunCMQYJ5TePPzQkvcgL5DFcXO95zTHZn5l6Hw6EGg4E+//zzgnBC/uX5SDv3Hp8ReZOW/dFo9H3/swkEngSCCCsBC2wKD6kYxN3G6yo+CQb7LYtwgixKg/fZu0JNQPXA54q2D0aUdgMe/RqdDKPo4T0ETq7RCTlXcHC4oZrwBQHo7ZCXl5epaHDrsO+OldumOb7vwjKdTgvDOb1v//7+Pu2AORqNdHNzk5JYPhifFpV2u51IsPV6rcvLS/31X/+1bm5uNJ1Of9h/QIFAIPAt4Y4rabfFu8+X9Da8fE4XbllmuUA4kWdYWDsJxt9p4SBm+xB4fkducGcV58/HCJC/UNoplti1zNtIuEdyjW8f724Ddg5jBiWCiBdPwMUkH11Aew5t/hBlni/582Aw0GAwSEOLuQeOSU7lGfA8VqtVantBpAl1PhAI/NgghjEChZ+xvvY6JHcjsV6/u7tLc75qtVohdvvgeJ8HmbujVqtVIt4QVnJnGKAzhLrD3V7kE67fCap8NAzfqcHcCcaxEVJoMfRB9tQoXl9Ju41fvJuHPDOZTAr3z/np+FmtVup2u7q9vU27RHJNfv/5yBueF9eLuyx2vQ8E/vYIIqwEeUFQrVbTMHYvCNxO7KQYxQnqMi0T6/U6qdqTyaSgLAB3TqFi+5wwhuhzToIziYg/58dy5YV78CDr73N1HkuwE2E+B+b6+jqRYvnOM34N/jMs16hKi8Ui7ZzJDDNpp1StVitdXV3p+vo6Dc8neZF0fSBlo9HQycmJOp2OWq2WXr58qTdv3ujXv/61hsNh7BAZCATeG2y1TYTK0dFRGsbuQKRwEoZiAtEFVRrXLgt+V4rzVgvym+cxaZdraDdh4S2p0DLpRZSr466eu7vLSTRJBeGImWDcP/fM0Hzmd9E6ko8oKPuzCyoUJQxW5nu1Wk07FN/d3anb7RZmtbhTQSpuUsOfJaUh/sPhMIlCgUAg8GPDh7yzYclkMpGkd9Y0/N5rmnq9rmazmeoG5lLl63KvL7zV0d3AdHDg5vKOG85LbZKPP4E8QyhyAi//ObHdxSGfC0Z3y3g81u3trSaTSWq/5xo4HvMjvZYiT3l7KUQYc8q4JgSZV69e6ebmJnXccCyfn+nz0fJh+eSb2IglEPjdEERYCXAosetgs9lMbD7buZfB2xoZRFytVnVycqJms6mLi4sUwF6+fKnhcJhUcF/YQ4Kxa6QnMWm3EPe5Ycw68e2NCcLsZFKr1dRsNlPLCE4x3FveYuJfi8VCb968SbPC6GPn767YeMunJ1O++7bD0+k0FXa09/C8sRR//fXXurq60hdffJFmDXi7z9HRUbqfZrOZnGB/+qd/mgbu/6f/9J/04sULvX79+tHPLhAIBH4MbDYbzefzlG/q9XpatOevk4quJ957d3en4+Nj1et1NRqNtEvwcrnU119/XVjUMzTf57Q0Go2Ua2azWcoxtVotxW5vewEUBS5GlJFM5CDEGgoKxBaKqdVqpcvLyzQrDHcVucaH4OdOYx8FICnlVmnnWDs8PNT5+Xlqn0cgWi6Xurm50WAw0OvXrx+08XhR4veNs2w4HOr6+lrX19dJNAoEAoH3AQy+Z2Oqer2uk5OTFH/zTVryGZC0SZI/2FHy7Ows1Qxv3rxJ7iRiIMfErdxqtQoOqnxOce4YhjTzFnQEb4QaRHTiMWSar/VxxPF9vV4nEgm38WQy0Wg00mAwKLiApV3OdXeWP1tqRp6X133UM5vNRt1uVy9evND19bVevXpVcKW5wOLPntzaarWS6HJ5eZk2eImaJhD43RBEWAkI9ovFIhE1XhDkFtkcBD1Xu/f3325JD1lzeHiY1IDr6+ukVLDjB2o/LoF84CMqvu8ayXwUb2Hh2o+OjtRqtdRut9POjJJS/7+0a7WZz+fJSTAej9OOkaPRKH3xmrKhjh7Q81kB+ayaw8NDHR8f69NPP1Wn09HZ2Vnqz3/58qUuLy/TrLB8mCYJGTKs2Wzq9PRUz58/197enq6vr/Wb3/xGL1++1GAwiIQRCATeO1BI5M4qaafWE/8lpZ0eiaW+2QpYr9dqNptqNBqS3u6KyII/3/Akb72nZZBjshB3oSOfk5LP5WKXXuZxsdMXOYMvyConvHwQMoUVRYlv6OLKO8/LySp/HW2e7CTcbrfVbreTMMUOj6jrebuqH9uJv4ODg+SOpr0lSLBAIPA+gdoCkQOxoqymIX7e398XZm7hgKJNkprFyR7mXN3e3qY2QK9piMUQXt6W7jMXXUTn3C62MGO41WolAd3nn+UdKIgstNazuRc7Avf7/dRy70PxXdB3d5bnGc/N5MFWq6Vnz54l4hEh59WrV7q9vdVoNCpsbuMOY47tNRSmBXZX5nqjpgkEfncEEVYCt7r67CkCnzu4KCY8iDuxRCKAWDs5OUlFQr1eT3NPpF2bCOcn4JMYXE13C7IXJ05MeXHC3Kx2u53mBHB93ofvu0sOBoOUHNhFBQXF7c2OfFaMqzwEdP5cq9XUaDR0cXGhTz75RJ1OR/V6XVdXVxqNRilpeBtpTqxxb41GQ61WS6enp7q4uNBqtdKrV6/0l3/5l7q6uoqhxYFA4L0EcZjY6aKLxy0W5xQUeQtI3lLCBiLsmDscDrVcLlP8pmWQczPPkplhviGLk2G+8HcVHqW+Vqup0+mo0+mkY3qrpLe7kFtY2DMon8LNdyCmHcUV83cVKT4TDdfb6empzs7OUoHCLpH9fl/j8Viz2axw7LJWUt/Yplqtajgcqt/vazAYPCjCAoFA4McG4v5sNktkFDsOS0qteY+R+D5WBRIMhy/H6nQ6aeddnLg4v7ymQdynZvG85eSTizzSbiaX5xlIOBzHPjfT5x7jUqO2Ibc4GcZAe99ozDc0I+Z7m2e+OyQ12/n5uc7OzlSr1ZLzud/v682bNxoMBul5u7vM3Waec6mVKpW3OxL3er0Y8RIIfI8IIqwEBGXY9/V6rYuLi9SuKO1IK1c1CMIEse12W9gRsd/vJ4UcB9RqtdLJyYlevnypm5sbXV5epkSDg4yZV5BxPhsLYmmz2aRB8yz8STjMKTs7O1Or1UoJBZXEBxUzKHg2m2kymaQgTUGEJRoCzYf+59ZhAjhqjVuaKUra7baePXuWnGj/+3//b3311Vfq9/tp162ywZoci2Kr1Wrpj/7oj9I8tv/wH/6Dfvvb3+qrr74KhT4QCLzXIN4jLvjujJLSAHwfDiypoKyzI9VyuSzMp7y4uNDJyYnu7u706aef6vXr16k1g3bJ5XKpVquVHMu0m3iewdnlqj07AHO9zGW8uLhQs9lMJBntI7PZLBUik8kkzXycTCaFdv5Go5Gccr47JM/CZ8LgFsiFI58Jdnx8rGazqfPz8zSn5sWLF7q9vdV4PE7tMBBZXuAAxgnwNZvNdHNzoy+//DK1dgYCgcD7BnIGBBXdI8zllfSgHR8SSdq5anHxUt/QiXF4eKiLi4vksj05OdGbN290e3ury8vLJMAw8/fu7k4nJyephd6dUT44nzqGMSgIL+xeeXp6mmL+3t5ecquRb9hteDQaJVHf709SugfiuhNMZaILtQfXiluLeoTxLtPpVDc3N/r666/1+vXrVFshCOVtkO4I555rtVoi+d68eaNut6urq6vYhCUQ+B4RRNgjQGFnAb5YLAqLYLBer1MPvf/MlWsWyDiqGECMKv2Tn/xEe3t7qY2FVkSORUDH3UUQdvuspAIBRXCmNZJgynsg1FBsUOM5N3NnvD2TZOhD/HEs5BZfzg9xhqsOEotCa71e69WrV6kgevPmjXq9Xpox4AWNqyM8h+Pj4/TVbDbV6/X05s0b/fa3v1W32w0SLBAIvPdAHUaYODo6SvOr8gHz5BvEGt+efj6fJ9KMFnxEHBTz7Xarer2u9XqdWiZprWcuJLmDlhffIcvFHm+HRHQhP3leItfgkCbXMJSYgf8+11LSgxzsroV8t0jyig8pdldctVpNu3otl0sNh8P0d9zW5C6pqNBTiDEDjfaUbrebdjAOBAKB9xXuliIGsx4ntuct9pgCvBWemYqVSiWRSziWyAMXFxeqVCqJZMNty/GpabwdP28JlHbzkn3+JDGd97hg4SNpiPPkGeK05weG9EsqtHKWjb7xnOfiD8+P+gqHc6/X03g81tXVlYbDYWF2ZD5Khu9e65AHyeuINkGCBQLfL4IIewS+IwhBVVIKyg7fLdJ71J3tx7E1Ho/T1sOoEKgJ7XZbd3d3urm5SQGVgcfL5TKRWcfHx0n1Bl6s+Dwub03Mh9dzreygMp/Pk3WYtpl8Ftdms9HR0VEqTvItmElkJIh6vV4gwlB19vf3ky35zZs3ury8TPPIfCi0t1eSHBiQWavVdHx8nGzIm81Gl5eX+ou/+Au9ePEiipNAIPBBwN1N5BoWxvyZnbMkFYgwPwYOr/39fQ0GA+3vv926nRxAbO50OprNZilPcBxcAeQaBsqT8yiWXGhxty+7/nr+9J27PN8gvlAg3N/fJ6HF8wQqP8OaPa773DKfPSOpMBuT0QLdbje1YeJQ8BaVfAC/t0BCTtIO2e12dXNzk9ppAoFA4H2Fd62w3vcdHonbiCJSsTvGdy0k5h0dHWk6naYWQG8dZ0OSzWaj29vbJLpwvOVymeI8nSo5seXrfp8NjNji9wXJBtHmNQ2zvzAu+DGZN+abg1HfuPjk9RRdLr57ZaVSSe7mN2/e6OrqKpFwucvMa0OpKLo4CXZwcKD5fK5ut6vb29tohwwEfgAEEfYO+AKenm5JKUARPCkeqtVqYbaKH0dSCojj8ViHh4f6+c9/rufPn+vs7CwNfqxWqzo/P1e329X19XVSKQjQi8UivRZLMomh2Wwmp9d8PtdqtUrOLldYpHL3mLfjYIPG+ss9835X6r1NhYTBaznOer0u7CiDok6iIsA7ccd1uUpCwUULz5/8yZ8kZxntkC9fvoyEEQgEPgxsdzkCUoq/eyFASwWkFa2DHuvIB/f393rz5o36/b4k6Wc/+5nOz8/VarVSofPJJ5+kYmU6nSbCiXyDSwvnsm9+cn5+nmI8uYa47q4q2l7Ik160VCqV5OBiMDP5xQk2nGTHx8eFttC8SKHlUdrNU2ODAHLPbDYr7KoMiebDih2QijibIcA+//zztGFMkGCBQOB9B0QRcY519/39vRqNhvb29lSv11ObPp0sxGta1PnZZrNJA+BHo5H29/f12Wef6ezsLDmJqSc6nY6Gw6Fubm6SA5ecQacIecYdURynWq2mXePJTdQI1DyIPk7uEd9xj202mwKBRc7xcS8+psDdVwgs3hHjYs5oNEoOYWo9H6LPcwN+bN/B2UcKvH79Wre3t7q5uYnulkDgB0IQYSXI3VOSUoD0xbOrFARqHyop7ZIPQZjg+fr160Sk/eEf/mFSw9vtdgrE4/E4HYNENJ1ONZlMUpJhUCQuKYocgiaJQ9rZhn3gse8ggxsB4gkCzWfXSHqg+rzLqkvxgTpD0YQi74OQnfzimXoy4zXMTDs7O1O1WtXV1ZVevHih3/72t+r1ekGCBQKBDwdF7qXQPuKOMI+LklIRA+mDs4nCgHh/dXWVcs2nn36a8lG9Xk9Ci7dtoPizQ7CkpNozpNjznudEnylDzvBdGIn1uMfIReQ8J8T8XvlObvNdLblmSYk0o6hhx7D5fF6Yv+Ytp765DbNbeH7eqkMr5O3tbRKYggQLBAIfAnKin3hILES8cGGAuOwiBu+lC4b1/OXlpfb29rRarfTJJ5+k+Fmv11PrOSNfvKaBTPI5j+QZCCzOyTxIYrsLI/m8LUR4n52MyISrmHif51nyRD7/mRqJdn7GyCACseuxE44O3+jMN53x9k82IRiPx6kdMkiwQOCHQxBhJfA2CUCwXSwWhX5wgiztFD4vzBfrTigtFgu9fPkyKSoQWfv7+2o2mymQ9vv9VMyQcNbrtQaDQTrnyclJGnhZ1iqJk4CkQSLgukgsrswfHBykYE+xJe0GNnNuCgo/rxdxJMhut1tIHtwPBJqTX15g8Qx9FxXfmvj8/Fyz2UxffPFFaoeMhBEIBD40eL5hsQwRRnuKz2kkdnos9YJgvV6ndpWbmxttt1uNx+PU0oEbq1arFZR/aVcwsNMVCjszx5rNZioMpGKM9tyCkOIbyqB8S0obm3C9EFg+h5Pj+g5iTvJxfn6eO6EZbcB5yHNOnHHv5DpIvM1mk/Lq/f29Li8vdXt7q263G06wQCDwweCxWVr8mbU/c728RdxFBc87/A7x/fXr14nsYoavix739/dp5pW7jxlmLymt73lfTm4hTADyJNflogv1ibfSc27u30fKuPBO/eFdQV7T9Hq95Pwi5yyXy3R+H13Dc/MdnbkfdydD/lWrVc1mM93e3ur6+jpmggUCPzCCCCtBvlUucPKGGVc+/4oZX/v7+4U+c8CgRgLi7e1tUhHOzs7UbrfVbDZ1f3+fBsFTVEwmkzS7i4H77XZbX331lTqdjs7OzgoKtw/Ud7WfwO5qtg+rRL2hlQU7tM8L8+2LaWN0og83wWw2S99JpDw7kqzvFObuAmmn1rCxQKvV0snJif7u3/27Wi6X6vV6+vf//t/r5cuXurq6ChIsEAh8kMh3QmTx7S4rWtUhsIihxGoW4Xd3dxoMBup0Ommu1XA4TPH47OxMnU5HzWYzLcQPDg5SQUEMXywW+uUvf5kcuK9evdLp6ak++eSTQvHRbrfTeRghsL+/n9oQ3T1FLKf4YBDwcDhMBYqkguua+/VnhKDDXDSElvl8LkmpPdMLO3/Wm80mDW/25w4oZGq1mobDoQaDgV68eJEcdEGCBQKBDwX5EHpJqQ4gv9DmjvO3Xq+r0Wjo7u4uiSOs8XPXMjMYr6+vNRqNNJlMdHp6qmazqVarlQSGRqORRH0XLBBpmPnb6XR0enqartVFDHa8R4DxewGYAHB2SUojbojhEH+QYb4ZCsf1dszBYJByFfMqeR7u2M5bHl2scgczmwvs7+/r7OwsjRF48eKFut2uer1ekGCBwO8BQYSVwJUBAqIr8z4Xaz6fp+Dm7X1evLj6QEKQdu6p2WyWLMUs5KWdTbdWq6W+eqy5rmxMp1NNp9NEfGEHzrcDJlDf39+nofgUWz4IGMKNVhXugffjYEPlcaeb79jC9aHm8zz8OZOgnQTzgf7cw8nJiS4uLnR6eqrlcqmvvvpKX375pV68eJG2JA4EAoEPFT7zKt/Bi/zgYgJOLZ9zlavX7taV3jqax+NxwWHshRA7S/I+nE9c23K5LLTabzYbjcfj5AAgf5FPNpuNBoNBYWfFRqORSCp29gI+qJlCoVarqdlspqIJ9R34M+KcPAfPJSBvqeH+fBgyxx2NRur1ehoMBilfBgkWCAQ+JJTFQanYoujii8dUvucxFPKJmJvPVIYcW61WBcLKZwgT78kPEFTsRulGhLym8TZG5kF6jvSNU9hwDNEIYgrSy3ezp4Zxou7u7i6RaF4T+ZzkfF4y+dtfQ+s/z8B3h6bFstfraTKZhLAfCPyeEERYCcpaIx0e1FCn1+u1Wq1WYdfGvA/cHWVO/OD4ms/nGgwGqU+coFmv19OMEw/mkE2j0Uj9fj8t4GmLYVFPkcQwyvv7ew0GA/V6vbS4JxGwzbzfp7RTWFBtIMJGo1FygLELF8Gf6+dYfv/5TBt+5s8cgq7RaOiTTz7RZ599pk6no1/96lf6q7/6K/3iF7/Q5eVlFCaBQOCjAISM5wyf10IMZR4kOYR5JggYtDZyTCfKcE4hnlBs+M6QOJvJM+Sa8Xis4XCYZkre3d0lZzC7ITNPrNVqpZbMm5ublMNY/HubIvdAgeO7jrXb7eQkWCwWqSDxOV8MesZlhijjTmRyet6qIimdn+uiCLm8vFS/39doNAqxJRAIfJAoq2d8njEE1N7eXmGECSNb8pZBYuFqtUqklneH0PKI8MJryGtHR0dJcJd2RBXnrtfrqRaS3uYk6iKvaZiNzExlXFtsckINwb36Lveed5i1fHR0lEQPdrGnnoFA85qFusbJLu4xNxI4cBs3Gg0dHR1pvV4XdiKOmiYQ+P0hiLBvAXcq+bBDSQU1gOIBZxVzTpzEYh4Kx83VfwbIk5QI9MwCg2hz1ZtkQtFEceCDgb3dkK/pdKrhcJgGVdIaifJCkMYijeq/t7en0Wik6+trvXnzJg275Pw4FDzJSnqQDLgeFCOKFO6xXq/r008/1dnZmX7+85/rxYsX+p//83/qv/yX/6Jut6vRaBQJIxAIfPBw8SUXB9xRLCkRYsR337iEbeIhxaRdywtxGJFkOBymY223WzWbzeTW8h2yPNfR5k7Rg+AjqUDKbbfb5NqilWU8Hms+nxc2aCFfNZvNlF8odjjHYDDQmzdv9Pr160SC+cxI4GILOdlnsvj95IUdzmueVbfbVb/f19XVVcrHgUAg8KEiF5olPcg1OF69y8NjtQsWOLk811CXEJdxavmmWBBOjUajcC0etxeLRZqL6bHeW9l9tiTvo419NBql+F6v1xOJRo6h3Z7WxM1mo16vp+l0qsvLyyQW+dxNd8FxfS5O5btMusMb8CwZfUMd9uLFCw2HQ02n06hpAoHfM4IIK0HeTiI93Ko931ESG7DP3ZJUaPvzRTkKiaSUbGgVwfFFQeFtG8w7yXcKI1C7BdnbaCgujo6O0gwy367eZ9P4bl8MPaaFZW9vL9mEZ7OZBoNBasPh2fn9SioUImUgQVOk4Dx7/vy5zs/P1Ww29fLlS/3qV7/SF198oaurq8Lcs0AgEPhQUVG5AzlvRZH0gCCTduQOpJgvyiGHfCg9i3fcxd467++XlBR5Bshz7tVqlRxm5C7cVL77lQ8DRvTxooLrYg6N36+3yaDQ08LjQhCv9/k1+TNylR745iyHh4eJvMMtPRqNCq02gUAg8DGAuOzIx5fkfz88PEz1Ty6QSCqMdfE5wD5rGBLN5/8iurvBwDcz4fwM5vddhX0oPX/GUc17eZ+0a/H0zVWk3e72s9lM/X4/1TT5vC+OR25yx5dfv8PHvzgBd3d3l8baDIfDqGkCgR8JQYQ9Aie7SBo+LyyHFx/eX+8zR7yvnABMIKVP3HvYKRCWy2UaMNxoNFLScKLKv6OOkBAoUBhqTMHQarUezFtxUs13hqH/frlcajgcJiszyGcIuHLjyc2H5HMuijhehwPuT//0T1Wv17VcLvXf/tt/0y9/+Uu9fPkytfwEAoHAB4+KHsRO6eHPiKWehzzOo277MbwQYOCxx3VyBpu/5G4qFHmIonwjFc7BMVHfW61WIt58BgvuXy9ieB3H910mPdfkG9iQ8yisfO6XpMLxvcBwUg6XAEPxx+OxXr58qclkEjtDBgKBjwYuREgPxRXpoWCQzwxzB7I7xzabjSaTSco31EwI55BK1Wo1bcRCKztt9S5gOMnEz7huXFW4yzw3QTRR5/h9eY0E6URuYUwMM8Acfp/kRuosv648V+T1DXmR++71erq5udFgMNB4PP4ePuFAIPC3QRBhJXC7MHBl27fFzV9DUUDwY7t6H7bvveoEYj+mL+whmNjRBELL53mRfJysonCYzWZ6/vx5mttyenqqg4MDPXv2TLVaTd1uV69fv9Z4PE5zASgmRqNRYdgjRYer7ly3P6+8gCMheFsKr3OysFar6dNPP9Wf/dmf6fT0VKvVSn/+53+u3/zmN/rFL36R5r4EAoHAxwqPmXmu8Rkk7rj1FnjfIEVSYTdIV9B98G+lUtFkMinsPCwptcRLSq2D7A6JUxgCaTgc6v7+Xufn5zo/P1e73U67fXGs6+vrRDItFouU3/IRAb4jl8+pzIs4J7ly1zbw3/Plc2Ek6eXLl7q5udFoNEpzYYIECwQCHxs8rvk4kvx3/N3rEcinvPMDcokc4+NW8mHxXtPwxU6VfPnQfdxZ4/E4nf/Zs2c6Pj7WxcWFOp2O9vb2kvjS6XS0v7+v8Xic5lsi8vi8L+okb690pxy1Wi7q586vd82UpjWz3W6nTcb6/b4mk4nevHmTZm8GAoEfD0GEfQPK3F+PvcaJMRbf3vJB0mDR77uM5H36rpBzHBLM3d1dUrFRQyDVUOo5jrsA2PGRQfw4wur1emrJ9ITlM1d8yGTuWPA2yPx5eUHnhBjtmgyzZCjyZ599lpLY559/rl//+tf66quvQjEJBAIBgy/SpbfElrev+O+J43k7IgWOO7Pyc/gOxRROLpp4/mLnq7wlksHAtVpNs9lMklIu8VZ/z315rnnMNVdGWHF+z8m0cpJ/JGk2m2m5XOr29laj0Uiz2SzElkAg8CRA/HVx5bHRMO4k9t0cH8szj80eAz5/bLlcFuZ38T4nqqTdGIDpdJpcZDjPcB7jFpOURgEg4vtOyRB3+TD7vEXf7y/PuTn5xXu9zsElLSkN9B+Px2neZrTeBwI/LoIIewfyWWBSce6Ig+KD31FgSCoMFpYe7jpJ+wjH532+IPc2xF6vl4ikZrOZEoEr3wRiZsFAyPnuYbVaTa1WKyn9nJNksVqtCteZB393d3lrZP7cfDAx1mqG8ONs++yzz3R+fq6/83f+jn7961/ryy+/1H/+z/9Z/X6/MHsgEAgEPioYj+MxVXoonkjFFhdXqGkZJ8Z7ewtgthc/LysC/Lgo+wcHB5pMJmmhz0xIzsc1M2vF56ssFovUFkKhQmHjs8zetctW2fWBMiWeY3veyf98d3eXXGC3t7dRlAQCgY8SeRsfPwPuOH4sBvosLEa5+Hv8fWXChdc2uXhBXUBniM8vBr47Mi2QCDS+aRgiEK5jHMi4wLzF0a+Da3yM5HOU5RxqLr4zkub09DQ55l6+fBk1TSDwniGIsG+BvAfcv7sTylv+gO8Qme/EVdabX4Y8MUFSSW8VeFfec2Lq8PAwKfh7e3uaTCZqNBqqVCoaDocajUZpm2MSh++85dfpagfwuS2+QUBezFWr1ZTksEJfXFyo1Wrp+fPnacbAv/t3/06ff/65bm5udHt7G+p8IBD46OGxO1fSpeLmJ/5a/07LvYsuZXChBOQzYZjn6AQVrTG508qdwvP5XMPhUL/97W81m81Sm8tkMinsLiztdr/k2F6s5UON/f5R2h+boQYopsg5kIOj0UjT6TTtEuZO6EAgEPjYUEaEeV3jNc1jLlx+744vdx6/S0TI2wtzUQdhhLzjLi9vw6SO8B3vP/300+QiY+dFZm8xjN5nSZYNtXfCi1xYNiInB7mK+oc5nczElKR+v59yzWg0ipomEHjPEETYd4AvzCU9KAakh62BFAmbzaZQnJQlIUChwcKdZJPD3WR5+yGtkCQ/VJztdqtGo6HDw8O0nT1tkZ7cOH5enJU9E86bJyzeR0FyeHiodrutRqOh8/NznZycpAHKNzc3ur6+1q9//Wu9efMm7RAWCAQCTwVlhUeOx9oCvRjBDVWGxzZ/eayQIX+goueii58TV9rt7a2k3Vyx6XSaxJZ8m/lv8xz8uv2a/Xn4+5iVhvuYWTWTySQVS+PxWKvVKnbqCgQCHzUea+nL64+cFCtzdlFf+Dqf3/n3HGVzLr2Wytszc4Gfv0NoUbMweH9/fz+J+qPRKM0XywmwshbH/Ge5+SF3ZPM973Ih5+zv76dzswMxY20CgcD7hSDC3oG8YPCfOzx45r9zMoveem+j5D15e4oPLc5/zw6LuXMgL1DohV8ulxqPx+r3+7q8vEwKOcf1gY20cW6328IOZO9SfDxJuZuAv5Mg6vW6nj17ppOTE3322Wc6PDzUaDTSL37xC/2P//E/9Pr161RABQKBwJNAxvm44FI2iyQvXPKihrj+2E6+zORyEaOstV4quped+MoLIN8ohnaU8Xisw8PDNJMSJzNFibcpSiolpMra7cvU/JwkY3MYzs9Af0SWIMACgcBTgeeG3E38GBlWRoTxPo7jIrhUJLvy9+R/LjMB8HNcwpw/fz9t+re3t6rX66nG8JrGO1vK8mBOzD3mhuPP/jy4ZxzHh4eHaWM06a3bGQIsappA4P1GEGHfERQNHsC9ZSWHO7o8mNJSKCkVGjnRBKHkdl2HB/QyZYaCB6xWq7RTlxNtnEcq9uE/5oDLCyXe719uF26326kV8pNPPtF2u9WrV6/0y1/+Um/evNFvfvOb1KISCAQCgYeOr8eKjbyIAbiFfUewMqHG2zv8Nd6e6HnEiSvPBeQb1HqEH89/5Ab+7I5pv9+8jQZiD/jQf653s9mkgqhWq6lSqWg6nWowGKjX62k2m8WA4kAg8OTwLhHhm5DPB87dwE4Mlb3Hz/+YS9lbLPNz5+fxPDGfzzWdTh+MpikzBTxGvPEccjfYYyB3HRwcpFnHCDpsuILrOGqaQOD9RxBhJShTLx77vaSCmv4Y3DHms7ZcXZHK21O8mPHjeXLwn5VdI0GeXSXzFpLttjgkMnet8VqQt0H6LpDYg5kJ1ul00o5h4/FY0+lUX331lX7zm9/o+vpaNzc373x2gUAg8NThQsq7FvT53130yIFQ865ZKJ4LcjLOZ4r5+ZlLmRcozHLh5/mMzdy1gCsgnxfjec9/xzEYjDyfz5MyDzkXCAQCTxXfhvySynfkLfv7Y24vvudiyTe1UD7mTnNHlgskee1VqVR0cHBQyGu546vs/nKSz8m9fPwL88C87f7u7i4RYbiOQ3AJBN5/BBFWAm9NfAx5UYFzCxCcXWXPFWwCKwPtUfDz5FE2d8wTQj5E+V2kXJ6EvMXShyHnlmcvPnAPQHrxZwYS7+3tqdlsqtFo6OTkRCcnJ1qv1+r3+/rLv/xLvX79Wl999VVS5wOBQODponwu2GNOr8eIsNzBW7ao90KFob3equjvgeTyHFO2sM8LHancvVapVNLQ4nyXYT/PY+5oL0T8/e5Ans1mWiwWaRj+YrHQfD7/1sVfIBAIfOwoa4d0vEuYL3NWeXzOayM/Rlmrf37Mx0bP8GfPc/nvyogtr5/ynPiY0y2/H697EPmZC4a43+v1NB6PYxh+IPCBIYiwEuT22zK7bJna4MjbOHIl24/npBPtJrlS7gH9sURR5gZ7V4LJ53n5zBYfcu9/dseXfx0cHKjZbKper6vVaqlWq2m5XGo4HOrP//zPdXt7q6urK11fX6cB/UGCBQKBQFE5hxQqay3htWWtLmWLen+fk1I4rfzc+dwwF1XKhKHH3GBcg/89f10e+/MCiufgLft+P06IsTU9O4ktl0stl8s0ByxIsEAg8JRR5tR6LG77z96VZ/LfPzaPy//sNUgunuQ/z6+Tv38bV9dj5FjuUHaSK89BnmMgvXg9Asv19bUGg0FhKH8gEPiwEERYCbx1sWwRXbZoL2s7yY9X9v48KEs74syTgLe35MfLiTBX1PNE4K/hOPncFnd88XcnxY6Ojgo98liEm81meh9bBV9eXurzzz9Xr9fT7e2tZrNZ2IUDgUCgBGUqt/R4LuJ3+Z89n+RtJWXvLzv2N7W95M4tzy1lxUdeoOSzLcvyoqQkzuQFEZvBMPuSAf20/0eeCQQCgSK+yQ32TT//puPmuafs+2N4Vx3F7991jPzcuevrsfO5GcGNB+Se/f39dKy7u7uC83g6nQYBFgh8wAgirAT0l+fuLJCrBv7zvDUkHwKZ7w4JfDBx2Tl5PepFrsTkeNdx8uO5Kyxvd8x7411BOTg40PHxsVqtltrttvb29tTv9/Xb3/5Wv/jFL3Rzc6Orq6sgvwKBQOARVFRc4HsbIot5d3BJD7dwJy6XuYJZpLuIks+1LJtBmb+nrB3GRwKQb/Ic902O5rJ2lNxdQH7i+MvlMhUiKPKr1SrcX4FAIPAt8E0t+NLjIkvZe3Lx47Fjlr2vjDzLr6NMFMpdx36d7xKA3vUahH+EfultzhqPx5rP5xqPxxqNRkF+BQIfCYIIK0GtVktEGMHO+75zFZvvORHmKvhj7Yl+DH+dD/4FebHjRQ2/92OWtceUAcIrnwvG/ZMY6vW66vW6jo+PE1k2n8/18uXL5P7q9/u6vb1NwyJjYGQgEAg8DoQFzxFl7fhlhcBjsf2bCpWyayj7M9eTo4wcK2uJ8WH3ed7Kj+0OMd99GOJrPp8n99d8Pk/OL9xfQYIFAoHAQyCe+068ZSNdHN8mz4D8OI+t+R87Tj73+JvwWPul/77sXPkGYy7+5znn/v4+iSw4jnEhBwkWCHw8CCKsBN4G6Av4MuQuKemh3TZvW3xs/su7WlEeC+r50GEnv3xXx8eSTK64M5OF43Pcw8PDlCwgyDabjbrdrrrdrm5ubvT69WuNx2ONx+Nv85gDgUAgUHk424Q/5yr5Y3H8m4qHd82GyYuKx4oM/3mZs/mxa8rvywfzu0uML3bhkt4SaRQf0+k0OcGYMRkFSSAQCLwbZaL4t2kx/C7iwncVIsqu5bF8803v/64/k3YkGEI/ryPn3N3daT6fp5wTm64EAh8ngggrQa1W097eXmL+t9ttagHJCxJJDwgnfi89bFF0pdzh9txcrdlsNgWCqux9BwcHhZ9DkHmxcXBwUGoRdkWk0WikHVHyREUrym9+8xv1ej11u131er00mDgQCAQC3x3kF9+pMSev+O4zuB5zG3vcf8zhxc8hoDgOxQEtmZzD81zZ8Rx50eVuL8iww8PDgssZYgsX8f39vWazmVarVcox3+RiCAQCgUA53uX8zV+X5xpQFoMfq11ylHW95O97VyvjY9f5rvt4bKMy6hzykju/ZrOZZrPZo8cNBAIfD4IIK4E7wihOciIrTyi5I8xJMX8vRQfH5PhlxwOPkWySCpZezkHRwnsJ9kdHR6ml0Qfk54oICshwOExJYTKZpD8vFovU9hhDiQOBQOB3R6XydubWer1+Z3tiToS5I6tsRhi/4/u3aatEqMnbaPIZYFxP2b14EZJfR7VaLRBe7LqFEk9+RIwqO28gEAgEvj3yusLJp8eE/rL35q3o30aceMxtXDb+pey9j91PLvjn3TA4vwDizmq10nw+T/mHNvtofQwEnhaCCCvB0dFRaol8bPGfI58V5t+9OHEibL1epz97oZHPGwP83d1eqBrewpkPR/a2R98V0q3AvGe5XCY1pNvtajQaaTKZaDQaJRIsEAgEAt8PKqoUFurACxRHnlPKdhHO80fenpgjJ9d43bdxEDyWG8lJOMt4LceF+GLnRyfCcpdaIBAIBP52yDf1kooiB/khdxWXfc/hMdpnkOWvcdLqsTEw+bV+m/vK2+zdmOAGBWnX9piLL4vFIgiwQOCJIoiwEpyfnxeIMC8QygJlvrW7KxK+9bvbcDebTVK+XYVwEqusOPLB9nt7e6rX68nR5cOD1+v1g3kw3moyn881mUy0Wq00Go0Kg4hns5mWy+X3/lwDgUAgUES1WlW9Xi/8LHdlIZaAx/KQq/yuiOf5QHq7AYznJpxXOJS9HT/PJXnRlDvGche0O7z4PdcUhFcgEAj8cMjFfZDH8Vz0L4vLuTiTO8Xyc+S7E3vMz7tn/Hjf1gWWv5/3kjPn83kivJbLpZbLpe7u7h5/WIFA4EkhiLASHB8fa39/P7VueHB3ZduJsryVBORqihNhecuJJyV2rQRlRUf+tVwuk7q+XC4LLSUUHqggroyQJHxOSyAQCAR+P3CCSCoOj89zQ9nMSenhtvJeIORtL/nfcZlxbJ8Pk5NVuTjkuazMEVC2U1l+jEAgEAj8MMhHq3ieAd62/liLPfB6pszN5cf1+cV+7Hf9rCw35ISdpCSm5CKMz5PMfx/1TSAQcAQRVgKfnyWpoGT7jon8OQ+yjy34/zbgvV74EPx9sDAtJXyHCMtbMHl9IBAIBH58bLVN7uB8Ye/55V1kkvRQSS9TyfMZLfnfy1paHiO4yn5XVsAE0RUIBAI/HspIoVzMeNf7HLkD7DE8Njsy/3lZnir78hqojPzyuiw6WgKBwLdFEGEluLq60na7TW2E7JbIn3FV+VDfMgVfUlInfmjyKYqNQCAQ+PCwXq/V7/cfzI7MhRXwQ7upIpcEAoHAx4Plcvmg8+RdQob0UMz4NnnnXZt+laFM1Mmdz9RagUAg8EMgiLASXF9fp9lZi8UiEWE4rN6l0ksPbb1hxQ0EAoFAGTb3G02n0wdCyrsKjyCrAoFAIPBtQKtg3s2C8AIeyyvfNv98E/H1GL6JgAsEAoEfCkGElaDb7Wo2mxWIsMViEQE5EAgEAt8rNptNyi+x8A8EAoHA94m7u7s0VsXnA+dEWCAQCDw1BBFWgr/5m7/RZDKJgiQQCAQCPyg22xjgGwgEAoEfBnS00CIZCAQCgbcIIqwE8/k8kkUgEAgEAoFAIBD4YAEBFnVNIBAIFBFEWAnCKhwIBAKBQCAQCAQ+ZERNEwgEAuV4uL9tIBAIBAKBQCAQCAQCgUAg8BEiiLBAIBAIBAKBQCAQCAQCgcCTQBBhgUAgEAgEAoFAIBAIBAKBJ4EgwgKBQCAQCAQCgUAgEAgEAk8CQYQFAoFAIBAIBAKBQCAQCASeBIIICwQCgUAgEAgEAoFAIBAIPAkEERYIBAKBQCAQCAQCgUAgEHgSCCIsEAgEAoFAIBAIBAKBQCDwJBBEWCAQCAQCgUAgEAgEAoFA4EkgiLBAIBAIBAKBQCAQCAQCgcCTQBBhgUAgEAgEAoFAIBAIBAKBJ4EgwgKBQCAQCAQCgUAgEAgEAk8CQYQFAoFAIBAIBAKBQCAQCASeBIIICwQCgUAgEAgEAoFAIBAIPAkEERYIBAKBQCAQCAQCgUAgEHgSCCIsEAgEAoFAIBAIBAKBQCDwJBBEWCAQCAQCgUAgEAgEAoFA4EkgiLBAIBAIBAKBQCAQCAQCgcCTQBBhgUAgEAgEAoFAIBAIBAKBJ4EgwgKBQCAQCAQCgUAgEAgEAk8CQYQFAoFAIBAIBAKBQCAQCASeBIIICwQCgUAgEAgEAoFAIBAIPAkEERYIBAKBQCAQCAQCgUAgEHgSCCIsEAgEAoFAIBAIBAKBQCDwJBBEWCAQCAQCgUAgEAgEAoFA4EkgiLBAIBAIBAKBQCAQCAQCgcCTQBBhgUAgEAgEAoFAIBAIBAKBJ4EgwgKBQCAQCAQCgUAgEAgEAk8CQYQFAoFAIBAIBAKBQCAQCASeBIIICwQCgUAgEAgEAoFAIBAIPAkEERYIBAKBQCAQCAQCgUAgEHgSCCIsEAgEAoFAIBAIBAKBQCDwJBBEWCAQCAQCgUAgEAgEAoFA4EkgiLBAIBAIBAKBQCAQCAQCgcCTQBBhgUAgEAgEAoFAIBAIBAKBJ4EgwgKBQCAQCAQCgUAgEAgEAk8CQYQFAoFAIBAIBAKBQCAQCASeBIIICwQCgUAgEAgEAoFAIBAIPAkEERYIBAKBQCAQCAQCgUAgEHgSCCIsEAgEAoFAIBAIBAKBQCDwJBBEWCAQCAQCgUAgEAgEAoFA4EkgiLBAIBAIBAKBQCAQCAQCgcCTQBBhgUAgEAgEAoFAIBAIBAKBJ4EgwgKBQCAQCAQCgUAgEAgEAk8C+z/2BQQCgUAg8BRwN/ziwc/+n08r+v/9f/d+hKsJBAJPFf/Pp5UHPyuLT4FAIBAIfKwIIiwQCAQCgd8Dtuv5g5+1ahX9f372sCgNBAKB3yfK4lMgEAgEAh8rojXSsN1uf+xLCAQCgQIiLgUCgUAgEPguiLVDIBB4n/A+xqQgwgzj8fjHvoRAIBAoIOJSIBAIBAKB74JYOwQCgfcJ72NMitZIw09+8hO9ePFC7XZblUq0qgQCgR8P2+1W4/FYP/nJT37sSwkEAoFAIPABIWqaQCDwPuB9rmeCCDNUq1V99tlnP/ZlBAKBgCTp+Pj4x76EwPeIvdZPdD95XfhZZb+ug+Of/0hXFAgEniLuhl88mAm213r/ipTA3x5R0wQCgfcF72s9U9m+jw2bgUAgEAgEAoFAIBAIBAKBwPeMmBEWCAQCgUAgEAgEAoFAIBB4EggiLBAIBAKBQCAQCAQCgUAg8CQQRFggEAgEAoFAIBAIBAKBQOBJIIiwQCAQCAQCgUAgEAgEAoHAk0AQYYFAIBAIBAKBQCAQeC/xL//lv1SlUvlWX51OR3//7/99/fN//s/18uXLR4/5T/7JP/nWxyz7+gf/4B986+v/X//rf6X3/at/9a++1Xv+63/9r+88/z/6R//oW5//2+Bd5/rZz372jdf1x3/8x1qv19/5vP/m3/yb0uP923/7b7/V+//ZP/tnqlQq2t/f15s3b77z+cFms9H/+//+v/rH//gf6+/9vb+nTz75RAcHB+p0Ovr5z3+uf/gP/6H+xb/4F/qP//E/aj6flx7j9/lvKvC7I3aNDAQCgUAgEAgEAoHAe4m//uu/1l//9V9Lkv7pP/2nur291cXFhf71v/7Xhdf9/9k77/Coqu3vfyeZXtJDQqgCCgJ2RcXCVVRU5Cr2chXsXS+KHa9dUVCuioWiqFEBUbC3a/tZ8Nq9YsNCEQjpyWT6TDL7/SPv2llzciYFAgRYn+eZhzBnn3P2OTOz11m9oaEBX3zxBRYsWIB4PI6srCwsWrQIRxxxRKtjfvXVV1i+fDkA4MwzzwQADBkyBDfddFO785k0aRKGDRuGjz76qEPzv/baazFt2jQAwLBhw/Djjz+2u09FRQX+85//AABmz56NTz75BAAwY8YMFBQUYODAgdh///07dP6O8OyzzwIAPvnkE8yePRsAcMEFF+Cggw6C1+vFcccd12peixcvxpIlS/QxnnnmGX0vO0IikcDAgQOxZs0aAMBBBx2ECy64AAAwcuRIDBgwoM39m5qa0KdPH20Au++++3DNNdd0+PzEu+++i6uuugo//fQTevfujWOOOQY77bQTcnNz0dDQgB9//BGvvPIKKisrAQAejwdjx47Fs88+C5vNpo+zOb9TQhegBEEQBEEQBEEQBKGb069fPwVA9evXL+2Yzz//XDkcDgVAeb1etXbt2jaPCUABUKNGjerwHDo6tqmpSZWUlOhzAFBff/11h/YlJkyYoPdduXJlp/btLPPmzdPnmjdvXptjb7nllpTrGjp0qEomkx0+11NPPZWy/4QJEzo117feeitl/1122aVT+yul1P33368yMjKU1WpV06ZNU4lEwnRcLBZT119/fcr5AoFA2uNuyu+U0DVIaqQgCIIgCIIgCIKwTbDffvvp1MFgMIhHHnlki83lvffeQ1lZGfLz8/V7zzzzzBabz6Zg6NChAICff/4Zr7zySof2UUrhvvvu0/tuCM888wwsFgtyc3MBAMuWLcN3333X4f2ffvppXH311Ugmk3jyyScxefJkWK1W07F2ux333HMPJk2atMHzFboXYggTBEEQBEEQBEEQthl4vaWPP/64S4998cUX4/TTT+/QWDLWzJkzR783f/78Daqn1V259tpr9d/33HNPh/Z59dVX8fPPP2Py5MkbdM5AIICXX34Zo0aNwllnnaXf76iRccWKFbj44osBAMccc0yHUzpvv/12ZGdnd37C7dCZ75TQNYghTBAEQRAEQRAEQdhmKCgo0H9Tbaeu4rrrrtO1rNoiGAxiyZIlGDlyJMaPH6+jn6qqqvDWW2916Zy2JKNGjcJ+++0HAPjyyy/x/vvvt7vPvffei7333huHHHLIBp1z0aJFiEQiOOOMM3DGGWfo9ztqZLznnnt00fvORHl5vV6MGzeu8xNuh45+p4SuQwxhgiAIgiAIgiAIwjZDKBTSf3u93o0+3sSJE2GxWDq1z4svvohwOKwNNdxgs62lR95www3677vvvrvNsR9//DE+//zzlEiyzvLMM8/A4XDgxBNPxD777IMdd9wRQHMx/3feeafNfcPhMEpLSwEAubm5GDVqVKfO/dBDD+H333+Hx+PZsMn/fzbkOyV0HWIIEwRBEARBEARBELYZeK0oilba3DzzzDOwWq046aSTAACnnXaa3vbaa6+hvr5+i8xrUzBu3DgMGzYMAPDBBx/gyy+/TDv23nvvxcCBA3HCCSds0LlWr16Njz/+GEcddRRycnIAICWtsD0j42effYZYLAYA2HXXXZGZmdmp8+fm5mLQoEFixNrKEUOYIAiCIAiCIAiCsE1QX1+PuXPnAgCcTieuvPLKDu2XSCRQXV1t+iLDSUdZs2YNPvroI4wZM0anae6www4YOXIkACAWi2HhwoWdOmZ3xmKxpER4pYsKW7ZsGd58801cffXVyMjYMFNEaWkplFIpEXb871dffRV+vz/t/t98843+e6eddtqgOXSUrvxOCV2LGMIEQRAEQRAEQRCErYZkMtnKsLBq1SosXLgQBxxwANatW4cePXrg5ZdfxuDBgzt0zKVLl6KwsND0tWDBgk7Nz8xYA2zb6ZGnn346+vbtC6ClGL6RqVOnorCwEGefffYGn6e0tBRZWVk45phj9Hs77rgj9tlnHwBANBrFCy+8kHb/qqoq/XdWVtYGz6MjdOV3SuhazPuDCoIgCIIgCIIgCEI3ZM2aNSgsLDTdtvvuu+OZZ57B+PHjO1UfbNddd8X9999vum3atGl49913O3ys0tJSeL1eHHvssSnvn3zyybjyyivR2NiIpUuX4s8//8TAgQM7fNzujNVqxdVXX40rr7wSSincc889uhYXAKxatQovvPAC/vWvf8HpdG7QOf773//it99+w9lnn93qGGeccQa++uorAM1GxvPPP9/0GA0NDfpvl8vV7jn9fj8SiUSr9202W7sdJLvyOyV0LRIRJgiCIAiCIAiCIGw1FBUV4T//+Y9+Pf/88/jHP/4BAPj+++/x6quvwuFwdOqYubm5OOyww0xfPXv27PBxvvzyS/z666847rjj4Ha7U7YVFBRgzJgx+v/bWlTYeeedp1NBFyxYgFWrVult06dPh8PhwKWXXrrBx6f7ZYy0A4BTTz1V1/v67LPPsGLFCtNj8Cgw6hzZFmPGjDGN6DIaOc3oqu+U0PWIIUwQBEEQBEEQBEHYanA6nSlGhdNOOw2lpaW48847ATR3bLzmmmu2yNyefvppAObGGuP7lEK5reB2u3HFFVcAABobG3HfffcBaE5HfPLJJ3HeeechLy9vg44dj8exYMEClJSU4JBDDmm1vaioCKNHjwYAKKXSGhl5JGFHGhY8/PDDKUZXYdtADGGCIAiCIAiCIAjCVs91112HnXfeGQDwyCOP4Pfff++S4z711FMdMljF43EsXLgQubm52H333U2LpB9wwAE6rW/lypX45JNPumSO3YXLLrtMp6TOmzcPFRUVeOihh5BIJHDVVVdt8HFfe+011NXVYezYsaitrTW9t2PHjtXjeVomZ6+99tJ///rrr+2ed5999kkxunYVHf1OCZsGMYQJgiAIgiAIgiAIWz1WqxU333wzgNSIpM3FG2+8gZqaGtTV1aFnz56mKXX9+vVDNBrV+2xr6ZG5ubm44IILADQXrr/99tvxyCOP4JRTTtHF9DcEuk9z5sxJW4CedwhdsWIFPv3001bHOeCAA3Ta7A8//GBa/0vY9pFi+YIgCIIgCIIgCMI2wcknn4wpU6ZgxYoVKC0txe23377Z6jE988wzsFgsWLRoUZuF1FetWqWLub/44ouYOXPmBheQN/Lrr7+ivLwcf/vb37rkeBvCVVddhZkzZyIej+PRRx8FAFx77bUbfLzq6mq89dZb2G+//XDHHXe0OXb27NlYtGgRgObP48ADD0zZ7na7cdZZZ2HOnDkIBAJ4++23MW7cuA2em7B1IoYwQRAEQRAEQRAEYZsgMzMTkydPxiWXXIJYLIYHHngA06ZN67Lj33DDDaisrMQTTzyR8n5NTQ3efPNNjB49GieccEK7x3nggQfwyy+/wO/34+WXX8app57aJfObOnUqnn766S2adterVy+ceeaZ+h6NGTMGu+666wYfb/78+UgkErjsssvaTU/MysrShrBFixbhoYceamVkvP766/Hss88iEongvvvu2+KGsHTfKWHTIamRgiAIgiAIgiAIwjbD2WefjaKiIgDArFmzOlQUvaN8/vnneP/991u9v2DBAsTjcZx33nkdOs65556r/97W0iOB5giwjIwM/ffG8MwzzyA3N7dDBsYRI0Zg+PDhAJqL4b/66qutxgwYMEBHqn366ae4//77N2p+G0u675Sw6RBDmCAIgiAIgiAIgrDN4HQ6db2oQCCARx55ZJOf85lnnkFBQQHGjx/fofFnnnkmbDYbAODdd99FRUXFppzeZmennXZCOBxGJBLBoYceusHH+eWXX/D111/jH//4R4fTR8855xz9dzoj48SJEzFt2jRkZGRg8uTJuOmmm1Jqtxn58ssvcfjhh+v/k5FP2DqR1EhBEARBEARBEAShW/LDDz/ghx9+AACEQiH977PPPgsAGDhwIPbff/9W+11yySWYOnUqGhoa8NBDD6Ffv34AgN133x0VFRX47rvvUsavWbMG06dPb3c+a9asSfn/s88+i4aGBnz55Zc46KCD8MILL6CoqCjFaGLk5ZdfRjAYxMCBA/Hrr7+iqakJN998Mw4++GDsuuuuyM3NxcKFCwEAP/30k95vzpw5yM3NbXN+fHxHoXv5+eef6/c+//xzWK1WeL1eHHfccQCa7/uSJUsAQH8mL7/8MgoKCkyvmYrSG/n888/x559/orq6Wr+3YsUKPY/DDz8coVAIS5cuxRtvvAEA8Pl8ePbZZzFy5EgMGDDA9LgVFRX4z3/+A4vFot975513MG/ePNhsNowfPx4ej0dvmzx5MoYPH45Jkybh7rvvxty5czFu3DgMGzYMubm5aGhowG+//YaPPvpI39fs7Gycf/75mDx5csq533///S77TgmbHouSnp2CIAiCIAiCIAhCN+TWW2/Fbbfdlnb7hAkT8NRTT5luu/7663HvvfemvHfHHXegvLx8o6LE+vXrh1WrVgFAitGFGDVqFD766KO0+/fv3x+rV6823XbLLbfgb3/7Gw455JANnh+ATtUIM7sGgl/rqlWrsMMOO5iOa++aORMnTsTTTz+ddvuHH36IVatW4eyzz261bd68eZg4caLpfh999FGb923lypXo379/q/ebmprwyiuv4M0338TSpUtRUVGBhoYGuN1u5OTkYMcdd8Ruu+2Gww47DKNHj4bdbm91jMsuu6zLvlPCpkcMYYIgCIIgCIIgCIIgCMJ2gSS2CoIgCIIgCIIgCIIgCNsFYggTBEEQBEEQBEEQBEEQtgvEECYIgiAIgiAIgiAIgiBsF4ghTBAEQRAEQRAEQRAEQdguEEOYIAiCIAiCIAiCIAiCsF0ghjBBEARBEARBEARBEARhu0AMYYIgCIIgCIIgCIIgCMJ2gRjCBEEQBEEQBEEQBEEQhO0CMYQJgiAIwiYiFAqhtrZ2S09DEARhq6KqqgqxWGxLT0MQBEHYRtnmDGGidAiCIHQPEokEysvLt9j5FyxYAIvFkvK69dZbN9v5X3rpJey0005YtmxZ2jHff/89rrjiCuy5557Izc2F1WqFz+fDoEGDcOSRR+L666/HkiVLRK4BaGpqwoIFC3DCCSdghx12gMfjgc1mQ35+PvbYYw+cdtppmD59Oj7//HM0NjZu6ekKm5A//vij1W/7b3/72yY/71dffYVrr70W+++/P/Lz82Gz2ZCXl4f99tsPN998M9atW9fhYyUSCTz66KMYOXIk8vPz4fV6MXz4cEyZMgVVVVUdPk5VVRWmTJmC4cOHw+v1Ij8/HyNHjsSjjz6KRCLR4eMsW7YM5513HgYMGACn04mSkhKMGzcOr7/+epv75eTktPos+IuOtccee+Ciiy7C/PnzEY1G253P0qVLMXjwYLzxxhsdvgahfd544w2cccYZ2GmnneDz+WC1WpGTk4NddtkFJ5xwAu666y58+OGHYoRk1NbW4tFHH8W4ceMwYMAAeL1eOJ1O9OzZE6NGjcIVV1yBxYsXo66urtW+t956a6vfxFNPPbX5L6Ibc+utt8Ln8+GCCy7Y0lPZrPz++++48847cfDBB6NPnz5wOBzwer3o378/jj76aEyZMqXDv8WysjLccccdOPjgg9GjRw/Y7Xa43W707t0bBx98MC699FI89dRTWLVq1aa/sK0J1YXMnz9fAUh53XLLLV15ijZ58cUXVUlJifroo4/Sjvnuu+/U5ZdfrvbYYw+Vk5OjMjMzldfrVQMHDlRjxoxR1113nVq8eLGqqanZbPPurjQ2Nqr58+er448/XvXv31+53W5ltVpVXl6e2n333dWpp56qpk2bppYuXaoSiUSXn9/4XerXr1+Xn6OrueWWW5TX61Xnn3/+FpvDbrvt1ure8ZfNZlNFRUVq+PDhasKECWru3Lmqvr6+Q8desWKFGjJkiOrTp4/6+uuvN/GVbPvMmTNHZWVlqWOOOUbF4/EtPZ0up76+Xnm9XnXvvfeqZDK52c+/atUqVVpaqkpLSze7TLrlllsUAHXuueeafrbJZFJNmjRJWSwWBUAdffTR6rbbblNPPPGEevTRR9WVV16p+vTpo+edkZGhvvnmm80y9+7I6tWr1e67764AqOzsbHXRRRep6dOnqyeffFJNmzZNnXTSScrhcOj7tdtuu23pKQubkEAgoH/bQ4YMUQDUqFGjNtn5fv75ZzVixAj9/TrssMPU7bffrubOnatuvvlm1b9/fwVAeb1e9eyzz7Z7vMrKSn28nXfeWd13331q5syZasyYMQqAKi4uVv/973/bPc5///tf1bNnTwVAjRkzRs2cOVPdd999auedd1YA1IgRI1RlZWW7x5k9e7ay2+3KZrOpc889V82aNUvdcMMNKj8/X69jTU1NpvsuXLhQlZaWqgsuuEDfnwsuuEB/Po8++qi67bbb1FFHHaXcbrcCoAoLC9XUqVNVY2Nj2jmFw2F18sknK4vFoqZOndruNQhtU1dXpw499FAFQDmdTjVx4kR17733qnnz5qkZM2aos846S/l8Pv0ZZmdnb+kpb3GSyaSaPn26ysnJURaLRY0cOVLdeuutas6cOerxxx9XN954Y8q6YLVa1dFHH52ih/7vf/9TpaWlasaMGXrcvHnzttxFdUO8Xq++N9uD/u33+9UFF1ygMjMzldPpVMcee6yaOnWqevLJJ9XMmTPV5ZdfrmUK/RYnTpyoVq1aZXq85557Tt/D3XbbTd1www3q8ccfV7Nnz1ZTpkxRe++9d4oeOGPGjM17wd2YLjWEidKx7dAdlA76Lh100EFbjSGsOyzmb7zxhiotLVU33nijnsv48eP1/Zw1a5a688471fjx41V2drYCoLKystR1112nwuFwm8eePn26Publl1++ma5o22X48OH6fm6r68306dOVxWJRxx13nIrFYltsHptTJtED74knnpjWAEgyKzs7O63CG4vF1Lnnnqvn/vnnn2/KaXdbotGoGjx4sFb20xnuf//9d7XDDjsoAGrw4MGbeZbClmLUqFGb3BDGHb2lpaWttodCIW1kyMjIUG+++WbaY8XjcXXAAQcoAOrAAw9sJXcnTZqkjUWrV69Oe5xVq1apwsJCBUBdddVVKdvC4bA+xwEHHNCmo+W1115TGRkZymKxqFdeeSVl2x9//KHPce2116Y9hlJKzZs3r11Fv7q6Wv3zn//Uz+KjRo1SFRUVaY/Z2NiojjrqKAVAPf74422eX0hPMplUf/vb3xQAtfvuu6v169ebjisvL9dKs8Ph2Myz7F5Eo1F1yimnKACqd+/ebQZZvPfee6pHjx76+3/llVe2GrNy5UoxhKVhypQpyuPxqAkTJmzpqWxy1qxZo3bZZRcFQB100EFq5cqVpuOamprUgw8+qDIzM/X3ZsmSJa3GvffeeyojI6PdNXLOnDl63b3nnnu66Gq2frrUEJZyYFE6tlq6m9IxYcKErcYQ1p0W8w8//LDd32EwGFR33HGHstvtCoDaZZdd1B9//JH2mH/++afaaaedVElJSYe81ULbPP7448rn86kxY8ZsUSPRpuauu+5SANSpp566xeawuWTSsmXLlNVqVfn5+WmN4Q0NDcrpdCoA6o477mjzePF4XA0cOHC7lkmzZ89WAJTFYlF//fVXm2M/+OADMYRtZ2xOQ9jJJ5+cdsyaNWuUzWZTANSQIUPSjnvkkUf09/nnn39utT0ajaq+ffu2e76TTjpJAVB9+/ZV0Wi01faffvpJKz6PPvqo6TGi0ah2Ap9yyimmYx577DFt4Pvxxx/TzqcjhjDiueee08rbvvvuqyKRSNqxZWVlKisrS9ntdvXrr7+2eVzBnHfffVd/Np988kmbY3///XeVkZGx3RvCzjnnHK03/vLLL+2O//bbb/XvXwxhghmhUEgbwfbaay8VDAbb3WfmzJltGsJGjhypAKjRo0e3e6yzzjpLDGEGtvoaYT/++COuueYa5OfnY9asWbBYLK3GBAIB3HvvvQCAyZMnY9999zU9lt1ux2OPPYaBAwdu0jl3d5555hksX74cFosFc+bMQXZ2tum4QYMG4YknntjMs+ve3HHHHQgGg1tN/r/H48GUKVPw1ltvwe12Y9myZTjiiCNQU1NjOn7AgAFYvnw51q1bl/Z3JHScCy+8EA0NDXj77bdht9u39HQ2Gddffz323XdfLFiwAPPmzdvS09mk/POf/0RjYyMuvfRS5OXlmY5ZunSprpGzzz77tHk8m82GU089tcvnuTXxwQcfAACKiorQp0+fNscecsgh6N279+aYlrAd8ve//z3ttt69e2PEiBEAgF9//RW///57qzFKKdxzzz0AgAMOOAA777xzqzEOhwNnnXUWAGDRokWmx/ntt9/w4osvAgDOOussOByOVmOGDh2KAw44AABwzz33QCnVaswzzzyDNWvWAADOP/980+v6xz/+AZfLhWQyialTp5qO6Synn346Jk+eDAD44osvcM0116Qd27NnT5x//vmIx+P45z//2SXn396gNRRoX+YMGjQI+++//6aeUrdm0aJFePLJJwEAN998M4YMGdLuPnvssQcuvPDCTT01YSvmmmuuwbJly2CxWPD444/D4/G0u88ll1yCXXbZxXRbJBLB559/DqD93zUAnHnmmZ2b8HbAVm8IE6Wj6xGlY/vj0EMPxfTp0wEAK1aswMSJE7fshIRtioyMDEyZMgVA84NAKBTawjPaNCxbtgzvv/8+AOCMM85IO666ulr/3ZGi2KeffjqmTZuGfv36bfwkt0LoftXV1aGpqand8ffffz+uu+66TT0tYTvi4IMPxmuvvYZjjjmmzXF9+/bVf//111+ttn/++edYu3YtAGD06NFpj3PYYYcBaDacvfTSS622v/jii9qw1ZHjrFmzBl988UWr7YsWLQLQ7Ag+6KCDTI/h9Xq14+vVV19FPB5Pe77OcMsttyAnJwcAMHv2bKxevTrtWDIMvv322/jll1+65PzbE52VOTfffHOXGT23NpRSuqmOy+XCRRdd1OF9J0yYsIlmJWztrFmzBnPmzAEAHHjggdh77707tJ/FYtHrn5Ha2lotBzryu953330xbdo0HHrooR2c9bbPVm0IE6Vj0yBKx/bJRRddhMGDBwMAXn/9de1lEISu4Oijj0Z+fj5qamrwzDPPdPnxv/32W5xyyino2bMnnE4n+vbti4kTJ+Lnn3/u1HH++usvXHXVVRg+fDh8Ph/cbjd23HFHnH/++fjhhx/a3Le0tBQA0KtXL+y0005px+Xm5uq/n3/++XbnNHToUEyePBk9e/ZMO0YphQULFmDcuHHo2bMn7HY7srOzseuuu+Lcc8/F4sWLu0yB3dzQ/YrFYjoKpi1OPvlknH322W2Oqaqqwk033YTddtsNWVlZcLlc6NevH0455RS88847pvsceOCBrbp/rVq1CmvXrsXFF1+Mfv36weFwoKSkBGeeeSZWrFjR7lwTiQQef/xxjB49GoWFhbDb7SguLsbRRx+N0tJSJJPJdo/x4osv4tBDD0VeXh5cLhcGDhyIiy66CKtXr8ZHH33Uas7HHXccAGDKlCmm3cwSiQSmT5+OvfbaC9nZ2aZdGcPhMObPn49//OMfGDx4MDweD5xOJ/r06YMTTjgBb7/9dtr5Gs/Zv39/AMBrr72GsWPHoqioCA6HA71798bEiROxfPnydu8B5+2338bhhx+O/Px8uFwuDB8+HPfcc0+nOigaKSkpwTHHHJM2Qp7w+/36bzNv/4cffqj/3mOPPdIeZ88999R/82ierjxOU1MTPv74YwDNa0xbUcl0nIaGBnz99ddpx3UGt9utIxTi8biOwDFj1113RY8ePQBgk8iPbR0uc5577rl2x48ZM6bd6LtQKITp06fjwAMP1B1UCwoKMHLkSEyePBmffvrpxk57i/B///d/+rnhsMMO61DUDrHnnnviqaeewumnn75Rc1i2bBnOP/98DBw4EC6XC1lZWRg6dCguueSSNg3ByWQS7733Hi6//HLsueeeyM7Ohs1mQ2FhIUaPHo3Zs2enfQ7orDzo379/2k6xH330kT7uqlWr0o6ZOHFim/uaXd+zzz6LI488EkVFRbDb7SgsLMSoUaNw//33mzpZ083T6PBXSqFnz56wWCz49ddfU7alu4bOdGB84okntAwiGdxRzjjjDMybNy9lPQdaOvYCzd1gufwxw+fzYfLkyTpymUj32UejUdx+++0YPHgwXC4XdthhB1x44YXamQM02wwmTZqEHXbYAQ6HAzvssAOuvfZaBIPBTl3jFmNDcyq/+eYbdfLJJ6vi4mLlcDhUnz591IQJE9RPP/2klOp4PZbVq1erSZMmqWHDhimv16tcLpcaNGiQOu+889T//ve/Nve95pprFADVq1evNse98cYbej5HHXVUp64zHclkUs2fP18dc8wxqri4WNlsNpWVlaV22WUXdc4556iXXnppq635Q3UnAKgFCxZ0yTErKyvVjTfeqHbddVfl8/mU0+lUffv2VSeffLJ6++2329y3ozXCYrGYmjlzpjr44INVfn6+stlsqkePHuqII45Qs2fPNv08brrpppROGvj/ufuRSETdcccdaujQocrlcqmcnBx1+OGHqw8++KDNOfLXhx9+aDp22bJl6l//+pc66KCDVEFBgbJarSo7O1vtvffe6l//+peqqqpq8zo7SkdqhBm5//779T5nnXWWfp/XNqCXsR7Lf/7zn1ZjqFbas88+q0aMGKE8Ho8qKipSxxxzjPriiy/0volEQs2YMUMNHz5cuVwu1aNHD3XaaaepP//8s905b8nPnaipqVFTpkxRe+yxh/L5fMpqtaoePXqo0aNHq7vvvlstX748ZTzVLDSevy3eeOMNdeKJJ6pevXopu92ucnNz1X777afuvvtu1dDQ0Gp8IpFodQ76DX3++efq2GOPVT169FAOh0MNGjRIXXfddSoQCLQ5h7feekuNHz9e9erVS9lsNuXxeNSwYcP0mmdWp4ZDa8t+++3X5rjOMnfuXF1Q9IADDlAzZsxQs2bNUueee67Kzs5O+W629VuYN2+ebgIyduxY9fDDD6vHH39cnXnmmSozM1NlZGSof/3rX2n3p46tRx55ZJvzraqqUlarVc/p3HPP7VBnt7aOR01FevTooa677jo1d+5cdeedd+oCybStIzUpuhv//ve/9TVkZ2erp59+Om0Hu47wzjvv6EYhRx11lHr44YfVnDlz1KWXXqo8Ho+ul2T8Pr/zzjutuuO9+eabqk+fPurSSy9Vc+fOVVOnTtU13QoKCtqsafbnn3/q7n4DBgxQt912m5o7d6666aabVElJia6fVF5ebrp/U1OTrmNjsVjUaaedph5//HH10EMPqTFjxiifz6fuu+8+Pdcbb7xRlZaW6qLP33//fatuZo899pg64IAD1IEHHqhmzJihHnnkEbXvvvu2WvPp+2az2dSECRPUww8/rGbMmKEmTJigv9vpuiebNcK54YYblMfjUZdffrmaM2eOmjZtmm7Y43A4WhVx5/AaYdOnT1c77bSTuvvuu9UTTzyhLr/8cv2bTlcDqyuhz9Pn85nWvTr11FP1vW6vQQp9R0tKSlptKy4u1udpi++++06f7/TTT0/Z9uuvv+pt48aNa/M4/Dsye/Zs0zGdqRFGvPjii3qfkSNHtjl29OjRCoDaY489OnRsoYWXX35Z32e73a7uv//+duV1W3zzzTeqV69eCoAaPny4uueee9ScOXPUlClT1KBBg/S5xo4d24VXsXmYMmVKp5+dO0JHa4TdfffdKiMjQ9ntdnXeeeep2bNnq5kzZ6rjjz9eWSwWlZGRoaZPn266780336zPcdhhh6lp06apxx57TE2aNEnl5eUpAGqfffZRtbW1rfbtrDzo06ePKi0t1esv/n8twtLS0hSZFQwGVWlpqXrooYcUAHXsscfqMUuXLm3V3Cud7lRdXa0bgOywww7qtttuU08++aS688479brbt2/fVraDJUuWqKlTp+rjn3POOaq0tFQtXbo0Zdynn36qx9x9990p2+gaHnjgAQVATZw4UZWWlnbqeerAAw9s9xo3BJKTtIb+8MMPnT6G2Wf/6KOPqv3331+deuqpatasWeq2227TdcH79Omj1qxZo9avX6/23HNPddVVV6nZs2erq6++WrlcLi2PN+Y5bXOxQYYwUTpE6egMG6p0EB0xhK1cuVIvhLvuuquaOnWqeuKJJ9TNN9+sC8HusssurTowpfvxjxgxQh177LHqscceUzNnztSfa2Zmpnr99ddbnb+ji/n777+vtw8ZMkTdfvvtur3t0KFDFQBVVFTUJR0EN8QQ9vXXX+t9uIGZhEBbrerXr1+vxxQUFGhD2JVXXqn2339/9eCDD6oHHnhA/3bsdrt69913VWNjozrxxBNTFltqG1xUVKTWrVuXdr5b+nNXSqmff/5ZKyX04DFnzhx18803p7Q/XrRokd6nM+20Q6GQGj9+vAKau3v+85//VHPnzlX33Xef2mOPPfR9MjYvSCaTpgrnggULVJ8+fdS//vUv9cQTT6jrr79et0wfOXJk2nb2V155pVbuJ02apB5//HE1Y8YMdeqpp+qix8OGDUv7WSml1B133KHvp9mD2Ibw8ccf6/Off/75rRqmfPjhh/qBva3fAlfIHnrooVbb33jjDS337rrrrlbbI5GInsell17a7ry5MQVobmd/2mmnqcWLF3dKbsRiMd3la8cddzTtwMYfAuvq6jp8bIIruBvz2lBqa2tVUVFRyrH69u2rbrzxRvX111936lhffPGFbg5i1kL8559/Vjk5OQqAuvDCC02Pwe9H3759W3UTq6ys1DIv3TFqa2tVv379FNDcOTAUCqVsr6mpUcOGDdNrm5lR5c4779TzePbZZ1ttv+uuu1I6TqV7+OYKWu/evdVll12Wsr2hoUFlZ2enrPn77ruvslqtpsf85ptv9MPwI488YnpOpVpke2ZmpsrJyWlViD2RSKjjjjtOAc3GMHK0GiFFrKioSO2zzz6tfj9PPvmkvr5N2XBi+fLl+jzpuirvt99+eszatWvbPN5OO+2kx/Kuj9FoVL8/aNCgNo9RVlaWoiRx3n77bb3tvPPOa/M4zz//vB574403mo7ZEEPYH3/8kbIGtsXFF1+sgOai/RtjxNkeSSQSej2hV2FhobryyivVxx9/nFbum/Hnn3/q9e3EE09UiUQiZXs8Hld///vfFbDhHeXNnMudfW1o84wxY8boYzz33HMbdAwzOmIII/3L6XSarlX8dzh//vxW26+77joFQN15552ttlVXV2s946STTurQPDsiD15//XU9fs6cOWmPS4YwM/2G6ytmMiUWi6kRI0YooNnuYFzj4/G4OuaYYxTQrLtUV1enbE8mk/o5PV3TpquvvlrPYZ999jEdM2fOHAVgg5p2UIMkAG3qNZ2FfyeAZqfYoYceqmbPnp3WiZYO/tn36tVL/fvf/07ZXlVVpbujnn/++er0009XX375ZcoYalgEpOo93ZVOP5mK0iFKR2foCqWjPUNYXV2dNjiccMIJrYRyQ0OD/sx222030wco44/fKESampq0Nb+tbmTtLeZvvfWWApq7cRofPBKJhPrHP/6hgGZre1tdlDrChhjC4vG47jIFwHQR7UiHLlLwevXqpY4//vgUQ2pjY6M6/PDD9b18+OGHWy22FRUV2piW7vfdXT532n7RRRe12haLxfR2swefjjwY0QNlYWFhq46ejY2N+jvj9XrTCmf6DWVlZamdd965Vet03lHK7OHqvffeUwCUy+VSK1asaLX99ddfVxaLpd2ozYULF+rzvPvuu22O7SjkDcvLy0sb0XbhhRe2+VsIBoMqPz9fP2Slg7oKZ2Zmqt9//z1l2w8//KDPcdttt7U773A4rA2cxpfT6VRHH320mjNnTrsGw3vuuafde5pMJrXjaGuUSUo1G+kpSsr46tWrl7rwwgvVe++916bTJplMamVw3333TTvu3nvv1Q+UZt3C+P0wRtkQZ555pgLMo3mUavlOZmRkpP3dfvLJJ/o8RqdgRUWFdiQefvjhpvs3NTVpxSedTFIqdR0qKioylT233XZbSqepfffdV/397383PZ5SSl1//fUKgOrfv3/aMVzZnTp1qumYsrIyfZ1jxowxHcMjEt57771W2yORiD5GOiNOV0CKVG5urumzoVIqxRhhVNaM0G8WQEoH2qqqKv3+8OHD2zxGXV2dHrvLLrukbFu0aJHeZlR2jSxZskSPTWfk2xBDGJ8fgDajknkkdVvdKwVzVqxYoR2Hxld+fr4688wz1SuvvNJuNgsZinw+X9rOyJWVlcpqtW6VhrA999xTH+O1117boGOY0d7z3po1a7S+dN1116U9zlFHHaWAZj3B+Nx73XXXqby8vFbvE2T8tlgsauXKle3OsyPyoLGxUev9bUX777bbbmm/D+3pTlwmm3XaVUqpdevW6aCX66+/vtX2888/Xz8Hm33HBwwYoB04FotFrVmzptWYo446Su28885przEdDQ0NHV7nNoQ777wzxelFL4vFokaMGKHuuusu02d3I/yzHzBggOnzFDkk7Ha7mjhxoulxyInzj3/8Y6OvbVPT6SdTUTpE6djcSkd7hjD6Ubrd7rQPll988YWe/+OPP95qO//x9+3b11SIPPHEE3rMb7/9ZnqejhrCvv32W9P9/X6/fmB/6qmnTMd0lA0xhCnVko4BQC1btqzV9s4YwtIJW24Q2XnnnU2/R2S87t27t+k5usPn7vf7231geuedd9I++LT3YDR//ny9PZ2nze/3q9zcXAVAHXzwwaZj+ENlurQWiqAzU+yvuuoqBTS3e07H/vvv364hjH8nZ86c2ebYjvDNN9/o4/FUXiPcQ2X2W5g1a1ab3xPi448/1uOM7dHffPNNve3hhx/u8DW89NJL2tNp9nK73eqqq64yTX9VSul1umfPnq0cU5zbb79dZWdnq/r6+g7Pjaivr1e//PLLRr82lvr6enXzzTerwsLCtPdrxx13VC+88ILp/tzg++CDD6Y9z48//qjHTZkypdV2LqMXLlxoegz+rGD87Pg6316a8IABA/QzF3ee8DT2J598Mu3+//rXv9qUSUqlrkPtRQYRlZWVyu/3p92+ePFifUxjRC7B16V0SplSSh155JFanpilmpJM8nq9aSNbKJL5+OOPb/vCNpBffvlFf6ZtlZSgz9Pse2Fkn3320WO5UvbXX3/p9/fcc882jxEKhfTYgQMHpmx75pln9LarrrqqzePwEiPnnnuu6ZgNMYQZU/jbipR48MEH9bi33nqrQ8cXUolGo2r69Omqb9++adfQkpIS9eijj5rKE55Omy6yhjjiiCPUgQceuEHzLCsr22h5k27daQ+e2vn+++9v0DHMaO95j2eUtFUaaObMmXqc0fDv9/vbzHiqra3V+z799NPtzrOj8oCXGzGL3KVsE7PAF6Xa153I0NZeWjQ5v830Br6GGdeP77//XgFIkdvGufr9fmW32zfImbJ27dqU39imSBn89ttv1fjx41My4PjLYrGo4447rs2SM/yzTxeEwLPG0kV8HXvsse3qDN2FThXL//bbb/H9998DAI455hh4vV7Tcaecckqbx3nuuedQU1MDoO1WntR9o6mpCTNnzkzZxgu1pesWyXG5XFi8eDFeeumlVkXiotEo3nzzTZx//vno3bs3rr76agQCAdPjPPzwwwCa2zlTNx4jFosFJ5xwgi4q2FnGjx+PX375ZaNfG8Nee+2Fn3/+GTfffDMKCwtTtq1btw6zZs3CYYcdhiFDhuiuQ0bee+89/PTTTwDQZuHIsWPHAgCUUh0q4skJBAKYN28egObinvn5+abjRowYgYKCAgDAs88+2+Yxx44dC6vV2ur9oUOH6r+NhRQ7yiGHHII1a9akLW6blZWlC9b/3//93wadY2Phv+uGhoaNOtbQoUN1IWQOXSPQ3LEyI6P1UkRt5deuXdvq99hdPnfeTIKKDhs58MAD8dZbb+Hwww9v8/xmPPTQQwCau9mmW1ezsrIwfvx4PQdao9Nx7LHHmr5P12n23W5sbAQA/PbbbygvLzfd//HHH8fTTz/d5rn5Wr1mzZo2x3aETz75RP/dVsHo4cOHt3mc9957T//dVmfhvfbaS6/pfB8AKYVB2yo6beT444/HF198geXLl+Puu+/GvvvumyI3wuEwHnjgAey7776orKxM2ffnn39GWVkZAGDvvfduU97cfPPNqK+vb7fYtxnZ2dkYMmTIRr82luzsbNx+++0oKyvD22+/jYsuugi9evVKGfP777/j5JNPxtVXX91qf/6ZDRgwANXV1aYvt9utx5l12uPwtYzDi1MbC9h++umniMViANrvZE3ba2tr8d133+n3u+q7b2TYsGEdGldYWIisrCz9/0gkgpqaGn0P+ZpO39F0eL1eUzlB0PUppVKu28igQYOQmZlpuo26E7ZXTHhDCIfDOO200xCLxTB58uQ2n4FdLpf+u73mFXw7/052xTG68jgbg1G2t7U+ORwO/fdWU4i5m+FwOHD11Vdj1apV+OSTT3DVVVdh0KBBKWPKyspwySWX4JRTTmnVrIMalAHtr13vvPNOm7/XtujZs+dGyxvewbUz8O9gJBLZoGNsCCSfbDYbiouL08onPj+jfMrKykrR2RKJBOrq6vS+/Jm1vXUZ6Lg8OOecc/Tzh1nTiyeffBIOh6PNxnbp+OWXX7Bu3ToAzc+p6e5LdXW1bqixdu3aVtc3evRo+Hw+AMDLL7+csm3x4sXw+XyYNGmS/j0sWbIkZcybb76JeDyun7c7g3Fd2xTfqz322AOLFy/G+vXrMXv2bIwdOxZOp1NvV0rh5Zdfxh577IHPPvus3ePtuOOOpu/TPWxrDD0b1NfXd+IKtgydMoSJ0iFKx5ZWOox8+umniEajAJoVkrYWSOq49vXXX7fZiWtDFJuOQp2wiKamJvj9/pR5kiGqI0JqU8AfTDfk+8vpioUUMFcku8Pnnpubi1122QUAMH36dJx33nlYtmxZyhi3240jjzyy1W+nPQKBAL788ksAwJAhQ1LumRG+jhrXSk5OTo5+UDBC12n23R41apSe0wEHHICnn366VXeeXXfdVY9LR1crMitXrtR/l5SUpB3HP0Mz/vjjD/13W5+T2+3Wxjy+DwD9fQSaH2Q7y0477YQbbrgB//3vf1FWVoaZM2emyNJffvkFl19+edp583VlW8dqtWLMmDF47LHHsHbtWnz55Ze48sorU9aMBx54AG+99VbKfr///rv+e9y4cSgsLDR9DRgwQI9LZ/gl0v0u+XedDMlER79vQOrnyvfrqu++EX4P22Px4sUYO3Ys8vLy4Ha7UVBQoO8h74rFfxtmkJEqHfwetdWlq601kj4P42exsTQ1NeHMM8/E999/j9NPPx333ntvm+P5HNu7L1xZ4vt1xTG68jgbA+/q7nK52uzQx9fVzWmg2BaxWCw48MADcf/99+P333/Hjz/+iClTpqQ8HyxatAizZs1K2W97kDnckLQpDOfpIPmUSCRQVFSUVj7xABIz+fTNN99gwoQJ6Nu3L+x2O/Ly8lL2J9r7zQMdlwcDBgzAIYccAqC5ezbv0BuNRvH8889j/PjxHQpcMcLl9nPPPZf2vhQWFuLNN9/UY433xuFw4MgjjwQAvPrqq1BK6W1LlizBUUcdBYfDoZ3FH3/8sQ7aoTF9+vTB3nvv3elr8Hq9KUapTfm9KigowPnnn4/XX38d1dXVeOGFF/R1A80BDqeeemq7zo906zx3crU3pqvl7aagdfhDG2wppaOmpmaTKR033HADysvL8dJLL+Hxxx/Hjz/+CKBF6Vi4cKHpvLdVAWAGKR2keHz11Vd47rnnMG/ePB0x9MADD+Cwww7DUUcdpfczKh0doT2lwwg/x9SpUzF16tR294lGo6ivr0+7IG+IYtMZ1q9fjxkzZuD111/Hb7/9luKhMc5zcxOPx1MMYcZowM7SFQsp0Pp+d6fPfe7cuTjqqKNQW1uLJ554Ak888QQGDx6McePG4bjjjsPIkSM3KDJ05cqV+ruxocqykQ1VFI8//nj84x//wLPPPosVK1Zg4sSJuPjii3H44Ydj3LhxGD9+fNqoPE5XKzLcmMYfMoyYRfpx+HeeR0mYQdtjsRhisZi+b/z8/CFwQyguLsall16KSy65BPfeey9uuOEGAMBLL72EhoYG/XDK593W9W8sfr8f69ev3+jjdIWDxox99tkH++yzD2666SYcd9xxWLp0KYBmLzSXSfx+zZo1K8XglY72ol/MolnbY0O+b0Dqw3NXffeNdOR6mpqacMYZZ+jno2OPPRZjx45Fnz599Pn+97//YfLkyR06Z7ooLoJfX7pofWDDPouNQSmFCy64AIsXL8aJJ56Ip59+ut059O/fH//9738BABUVFW2u7RUVFQCao2P42ulwOFBcXIzy8nI9pr1jAEC/fv1azcVsXGePszHwKMe99tqrzbF8XW3vdyN0jmHDhuGOO+7Addddh7POOktHwzz55JO4+OKL9bjNJXPWr1+/0cYCt9u9QVFhe+21F95++20Aqc+amxq6t16vt1U0UjqM68fDDz+Mf/7zn0gmk9h9990xefJk9O/fP0WOdSY7oTNr6rnnnosPPvgAlZWVeO2113D88ccDaH5uqa+vx7nnntvhY3H4d+74449P+T62hZl8P/bYY7Fo0SKsX78eX3zxBfbbbz/88ccfWLZsmX7OGj9+PO6//340NTXhtddew8SJExGLxfDWW29h4sSJG3QNQPP3iiKxfv/99zbtKF2Fx+PBSSedhJNOOgnvv/8+xo0bh0gkgrVr1+I///mPzsgyoyOf/eaWuZuCTj0hidIhSgewZZUOI/wcl1xySYdDVtvyOm7KH/Znn32GsWPHwu/3o7i4GLfccguGDBmSYjy++uqr8cMPP2yyObTF999/r70kffr0SRs91FE21ULanT73ESNG4JdffsGMGTNQWlqKdevWYfny5Vi+fDmmT5+OwYMH47777sPf//73Th23K5RlIxvz3S4tLcUpp5yChx9+GO+//z4ikQheffVVvPrqq7j00ksxYcIE3HvvvW06QrpakeFpvG0ZjtMZmwljZERbXlAy4DkcjhQjKZ9Le562jmKxWHD99dfj5ZdfxhdffIGmpiYsX75cRwB2JqJjY1iyZAnOPvvsjT4O98BuCgoLC/HEE0/otOqff/45ZTu/X7vssgv233//TTqfdGxoJA6P0DV+99N9Z9v77m8Is2fP1kawO++8EzfddFOrMZ0xwLU3R36PujIaaWNQSuGiiy7Ck08+ifHjx2P+/PkdumaearRmzRrsueeepuMCgYBey83Sk4YNG4by8nI9Ll30Ni8jYjzOoEGD4HA4EIvF2k1Vb+s4G8OHH36o/05XboTg62q60izCxuH1ejF37ly8/fbbiEQiba6hm1Lm3HDDDe2WWmiPUaNG4aOPPur0fkcccQTuuusuAKmG2k2Nz+dDXV0d4vF4u78FM5YtW4ZJkyYhmUziiCOOwNtvv71BTtgN5fjjj0dubi7q6urwxBNPaEPYE088gf79+2P06NEbdFz+nSsoKNige0OMHTsWNpsNiUQCS5YswX777YfFixfDbrdro9D++++PoqIiVFRUYMmSJZg4cSLee+89BAKBDUqLJI444ghtCPvuu+/azaDoakaPHo0rrrhCRy3//PPPbRrCthc6ZQgTpUOUDk53UDr4OXr37r1RC+SmJh6P49RTT9VGsGXLlun6VZzOprJ0JfyhdEOF1uagu33uPXr0wD333IO7774bS5cuxaJFi7BgwQJUVFRg+fLlOPbYY/H888/jtNNO6/Axu0JZ7mqOOeYYHHPMMaiursbLL7+M+fPn48MPP0Q8HsecOXPw3//+F19//XXadPWuVmS4cb2tVOK6uro2jzNo0CD9wLt27dq0BuBIJILa2lq9D4d7Zts735o1a7DPPvvg8ssvNzUiGNl///112jhf1/kcqIbGtsj06dMxffp0fPrpp63uu5EhQ4YgJycH9fX1rWQgT8NevXr1FjOE8WvgBgYz+Ha+34ABA/C///0PQPN3P913tr3v4oYwf/58AM2G9auuumqjj9deHRH+3d5hhx02+nxdweWXX47Zs2fj73//OxYuXNhhwx+lDwHNjqd0NRu5An7ooYeaHofqNX3//fdplapvv/027XEyMzNx0EEH4b333sMvv/yCeDyedu2m4/h8vg1KDTIjGAzi+eefB9D8jH/OOee0OZ6nKW1PWRldwcKFC3HllVdi/vz5Kd9BM/Ly8jB48OAUxyixPcicgw46CLvssguWLVuG//znPwiHwx120i9YsAALFiyA0+lEaWlppzKWdtxxR3z55ZeIx+MoLy9HcXFxp+a9aNEirX9fddVVm9UIBjQHiJxxxhmYOXMm3nnnHaxbtw6xWAwfffQRbrnllg2ej1Fubww5OTkYNWoU3nvvPbzyyiu49957sWTJEhx66KHaFpGRkYG///3vmDNnDt59912EQiEsWbIE+fn5OPjggzf43Oeccw7uvvtuxGIxvPzyy/jnP//Z4X2nTJmCH3/8Ebvtthtuu+22lG377LMPevTogTfeeKPd4/Bnnk1tI9ha6FR4QFcqHURbD4FdqXQUFxdrC397pPuibA8CAGhWOoqLi9tMsSJI6QBa/6i6cvFKx+Y4R1fx6aef6u/7xIkTTY1gWxKlFObMmaP/39Hw4y1Bd/3cLRYLDjjgAPz73//GmjVr8Mgjj+gHoY6mCRE77LCDThnaUGV5U1FQUIDzzjsP77//Pn755RccdNBBAJo9km15cbtakaHzAqkKnxFKeU8HTxX4+uuv0477+uuv9TpnNL7uuOOO+kHPWF/SSFNTEyoqKjoc+cnXVp7qMXToUC0Lv/nmmzaP8eSTT+LUU0/VKR+dYeLEiVDNXaY36rWhBINBVFRUdDhNhc5lTOHinzNFMqfjzjvvhNVqxb/+9a9OzrZ9DjzwQB1V3tb3jW/Py8tLqc3aVd/9DYFKGOTn56eN7OxMDcBgMNjmOk7XR3WNtjSTJk3CI488grFjx2LRokWtlN3169dj7733xuzZs1vtO3LkSP2b5YXHjVCtR2q+ZOTEE0/Uf3fkOL1798Z+++3XavtJJ50EoDnr4tNPPzU9RjAY1Ib4cePGpTilN4YpU6bo8hoXXXQR+vTp0+Z4WlczMjI2i5zblohEIqioqOhwo6d0ayiXe+2tXZMnT8app56Kv/76q5OzBZ566qmNljcbEg0GNP/mSF8Mh8Omv2Mzkskkbr/9drzyyiuw2+2dLtvTGfl0+OGHw2q1pvz2eWmZdL+lTd1kgtIfm5qa8NRTT+HJJ5+ExWLZqOCOnXfeWT8vfvXVV22Wplm9ejXsdnubzVeofuXy5cvx3nvv4YsvvmgV6UVjotEoXn/9dbz66qsYN25cu2n8bdG7d29ceumlAJrrj7Ultzl//fUX7rvvPrzyyiumaelVVVXtPv8R/DmsK1Pct2Y6ZQgTpUOUDjO2pNLBFYr2zvHJJ5/AarVu9nBUoiNCCthy3ZAefPBB/PnnnwCa8+iN3VW7E93lc6+vr8eUKVNMmzzYbDZccsklusB5WVlZSmHg9vD5fNh3330BNAvstr4XX331lf57U0THLV68GPfcc4/ptsGDB+Pll19OqQ2UDr5W77TTThs9rz322EMbB15//fW09+iFF15o8zhnnHGGNkyXlpamHffMM88AaI6koAcawuVy6cYJHXEiAMDbb7/driMnmUzi3XffBQDsueeerbzEV1xxBYBm5wyP6OQ0NTXhjjvuwAsvvNDmA2J3hyKR2uLzzz/XKWVHH310yrbRo0frBgQLFy5M+32JxWKYN28ekslkp6I4O0pWVpZWDL744ou0svazzz7Ta/Jll12W8hB+xhlnaIPEggULTPdXSuHFF1/syqkDgG5AUlVVpZ2VRtpTko2k6z69fv16rdCOGTOmXWPJpubaa6/Fv//9bxx55JF46aWXTCOoYrEYvvnmG1OHMWUeAM3OseXLl7caE4/H9VpzwgknmK6VgwcP1gay0tJS08yIX3/9VRu3rr/+etOIjLPOOksrmXPnzjW95ueffx7hcBgZGRl67hvLU089pbsijxw5st0mA0BLvaZdd911k5Yn2ZbpyBq6Zs0arccZ19CddtpJl0B5/fXX00Zz/vnnn7j//vvx6aefbpXRe+PGjdMRO7fffnuH9KEHHngAv/zyCzweD+68885On/Oiiy7S60m63yLQ/Dz4/vvvo6SkJOW5ltZlIH1n+86uy51l991317X+nnzySTz99NM47LDDNriDJ0HPObW1tVi8eHHacbNnz0YikWhTbvMo3IsvvhgWi6VV6RLeYXLKlCmoqqraqLRIgpr0UWp9OBxuc7xSCpdddhkSiQR22203TJgwwXRcRUUFPvjgg3bPTw2E7HZ7t8762ayoTrLHHnsoACo3N1cFAgHTMRdffLECoACoW265pdX2UCikCgoKFAB14IEHpj3XeeedpwCozMxM9dtvv7XavuuuuyoA6sgjj2xzzitXrlQAVFZWlqqtrW1zbFNTk9p5550VALXnnnu22n7vvffqa/vggw9Mj9HY2Kj69++vLBaL+uWXX9o8X3fklltuUQDUmWee2e7YpUuX6vvx0EMPpWxLJpNq+PDhCoDq0aNH2u9LNBpVAwYMUBaLRf3888+ttk+YMEEBUP369TPd/5JLLtFz+OKLL9LO9fTTT1cA1OOPP95qG31HAKh58+aZ7t+RMR9++KEe8+GHH6Zs++CDD/S2yy+/3HT/YDCo3G63AqBGjRqV9lo6Ap+L2e+Q8/bbbyun06kAqEGDBqmampq0Y0eNGtXu/Pr166cAqAkTJphu78i9nDdvnh6zcuXKVtu7w+dO26666qq057///vv1OhYOhzt1/oULF+rtc+fONT1+Q0ODysvLUwDUwQcfbDqmvd9Qe2MmTJigLBaL8vv9pvsmk0mVnZ2tAKgbbrgh7TnuvPNOBUBlZGS0uxZ3lI8//lhlZGQoAOqCCy5QyWSy1Xb6TbX1W1iyZIke8/DDD7fa/vbbbyur1aoAqLvuusv0GFdffbUCoHr16tXmnPnnfsQRR6i6ujrTcbFYTH/PMzIy1Lvvvms6ZsSIEQqA2nnnnVV1dXXaeZ1xxhltzqu7QjLJYrGoRx55JO24P//8Uw0ePFgBUDvuuKOKRCKtxnz11VfK4XAoAOq0005T8Xg8ZXs8Hte/hQsvvND0PO2tTR0ZU1dXp3bYYQf9uw2FQq2277LLLgqA2nXXXVutHUq1/J4AqGeffbbV9qlTp6oePXqklUlER9ZBziOPPKLHn3322aqpqSll+88//6x8Pl+756X77PV6VUlJSSv5n0gk1Pjx4xUA5XA41E8//WR6nI7IpI6MaY8bb7xRAVB9+/ZVb731lvrwww9NX/Pnz29zrYnH42r//ffXn73xezp58mQFQOXn56f9finV/Lnl5+crAOqaa65J2RYOh9VBBx2kAKj999+/1fec88orryiLxaIsFot67bXXUrb9+eef+jt09dVXt3l/+Hc+3feosrJSXXbZZXrcIYccoqqqqto8LlFUVKQAqGuvvbZD44UW+Gdzww03tPrNEhUVFWrkyJH6+1deXt5qzIoVK1ROTo5eQxsbG1O2h8NhdcABBygAas6cOZvkejYHjY2N6swzz1QAVJ8+fdTHH3+cdty9996rMjIylNVqVS+//LLpuI6ssw8//HCbzyHV1dVaLjz//PMp23744Qf9LDR8+HDV0NCQst3v96s999yz3WehzsoDI48++qjeH4BauHBhu/u0pTsp1bxm7rfffgqAKi4uVr///nurMW+++abKzMxUJSUlps9BnL322kufb+TIkaZjTj75ZD3G4/GYPk9sCOXl5dqWMmrUKLVq1SrTcfX19eq0005TAFRRUZH6888/TceRvtWvXz9THZp4+umnVWZmpgKgpkyZYjqmK3QzpTqmc3QXOm0IE6VDlA5icykd7f2g6urq1IABA/RnUlFR0WrM7NmzFQC1yy67qFgs1mr75jCExWIx1atXLwVAud1u9eOPP6Zsb2pqUhdccIHef3MYwgKBgLrlllv0b2233XZTK1asaPO43cUQ1h0+d9qWnZ2t/vjjj1b7RiIRtffeeysAavz48Rt0/uOOO04BzcZkoyBsampKUSZ//fVX02N0hSEMgLrssstM933xxRf1uvntt9+mPQc9WIwYMSLtmA1h7ty5WsAfcMAB6sEHH1SzZ89W5513nnI4HOqxxx7T93n8+PGqtLRULV68uNVxnn76ab1eHXPMMWrmzJlq1qxZ6qyzzlKZmZnKYrGom2++Oe08vvvuO30eM+cNUV5enmKgyM3NVeecc4568MEH1VNPPaUeffRRdcUVV6g+ffoooNmJ89xzz6U9XnV1tTr44IP1Q+INN9yg5s6dq+688w53PCcAAQAASURBVE4trw466KC0hszuzqxZs5TNZtP3a9ddd1XXX3+9mjVrlpo3b56aNm2aOvHEE/Vnt+eee6Z9uFRKqffee0/l5ubqteOOO+5Qc+fOVf/617+0TDvuuONaybSlS5eq0tLSlHV6xowZqrS0VCuM//vf/9KOMf5+V6xYoYYOHaoAqIEDB6rbb79dPfHEE+rmm2/WsmLEiBGmyqhSzb//c845R8vr008/Xc2aNUs9/PDD6sgjj1R9+/ZVzz33XFqZ9Oeff6rS0lI1Y8YMPeaCCy5QpaWlKddkJJFIqHHjxul99t57b3XXXXepxx57TF1yySXK6XSqIUOG6O033nijKi0tVf/73/9SjsPXnGeeeUZlZ2erK664Qs2dO1dNnz5dKwsOh8NUuaR50rmGDBmiSktL1ZIlS/SYJUuWmI4pLS01vbZ0cHnU0VdbDqiKigotG4YOHaqmTZumHnnkEXXkkUdqxeezzz5rd15Lly7VBqIjjzxSPfLII2ratGn6e7X33nubykYjjz32mLLb7cpms6nzzz9fzZ49W910003a0DZx4sS0xpOFCxe2+s7z79Fjjz2mbrvtNnXkkUcql8ul5dm9997byoiSjh9++EEf+4cffujQPkILr7/+ur73tN5MmjRJPf744+qpp55SM2bMUGeeeaY2YA8cOFB99913aY/37bffqt69e+v1eOrUqWrOnDnqxhtv1O9feeWVm+36NiX//ve/VU5OjrJYLOrAAw9Ut912m5o7d66aNWuWmjRpknZo9O/f3zRAgmSC2Tprpmfed999+nnmsMMOUzNmzFCPP/64mjRpksrNzVUZGRnq7rvvNp3r1KlT9TlKSkrUTTfdpH/LvXr1SlmX6VmI5rCh8sBIfX29/q7l5+ebPnsTJFPJycDlxdKlS1PG1tTUqL/97W8KaDZMXXzxxWrWrFlq+vTp2mHSs2fPNp9BiTvuuEOfb9q0aaZjnn/+eT3mhBNO6NC1d5RQKKQuvPBCZbValdPpVOPHj1f33Xefmjdvnnr44YfV2WefrY3NBx10kFq9enXaY5FOBkDZbDZ17LHHqnvvvVfNmzdPzZkzR02ZMkUb/jIyMtRVV13VynbT1mdPcrsjzz/vvvuuKi0t1U6YgoIC/f0JBoNdeg+7ik4bwpQSpUOUjs2jdNCPx+wHZVyQV69erb0kBQUF6uqrr1Zz585V99xzjxo9erR+ADbOsyM//vLy8rRjaKHu6GL+wQcfaEOx0+lUF198sXrsscfUXXfdpfbZZx+VnZ2tiouLN+qB/Y033mg1F/odlpaWqtmzZ6u77rpLjR8/XmVlZenv/HXXXWcadaBUc6RaOqWDFjg+hiI+DzrooA4LWrrfnVEkt/Tnvm7dOv07cLlc6rzzzlMzZsxQs2fPVlOmTFEDBw5UQLMhbv369fr8nXkwCofD6oQTTtCf06RJk9TcuXPVtGnTtHArKipSn3/+eavPjZRAs98Q0RHBdfnll+t57rHHHurWW29Vc+bMUQ888IA6+eSTlc1mU5mZmerBBx9M+71MJpP6e2Hm/NhYvvnmG3XSSSepHj16KJvNpoqLi9Xxxx+vvbhGJTWdA2X16tVq0qRJaujQocrj8Sin06kGDBigzjvvPPX999+3Ow96KGkvCrOpqUl9/PHH6vbbb1fjxo1TQ4YMUdnZ2SozM1O5XC5VUlKiDj/8cHXfffd16AE0mUyqBQsWqLFjx6qioiJltVpVdna2Ouigg9SsWbM6rHB2V+rq6tSCBQvUZZddpg4++GDVu3dv5XK5VGZmpsrKylJDhgxRp59+unrppZc6dK01NTXq1ltvVXvttZfKzs7W35lx48aZPq8o1WK4MXuRkYkcSWYvM2N3LBZTjz32mDrkkENUfn6+stlsqkePHmrMmDHq6aef7tC1LFq0SB1yyCEqOztbuVwuteOOO6qrr75a1dTUqPfff1+f/9NPP03Zrz3jTrpILqWav79z5sxRBx54oMrKylJWq1X16NFDHXnkkWrBggUpjph0hiGj8f2zzz5Txx9/vCouLlZ2u12VlJSos846K62BP928uTGfnDJmr87Q1uea7tXeGhCPx9XMmTPVfvvtp3JycpTb7VY777yzuuGGGzpkvCIqKirUDTfcoHbeeWfldrtVTk6O2m+//dTDDz/cZiSYkf/973/q7LPPVv369VMOh0MVFRWpsWPHqldffbXN/SgaON3L4XCo4uJitdtuu6nzzz9fPf/8852OrrjmmmsUADV69OhO7Se0EAqF1CuvvKImT56sDj30UNW/f3/l8XhURkaG8nq9auDAger4449XTz31VIc+n2AwqKZNm6ZGjhypcnNzldVqVUVFRerYY481NfBszdTW1qp///vfasyYMap3797K4XAol8ul+vfvr8aPH6+efvppFY1GTfdta+1I51D+5Zdf1MUXX6x22mkn5Xa7lcPhUAMGDFATJ05U33zzTZtzff/999Xf//53VVhYqJ8D9ttvPzVt2jQVDAbTzmFj5IERiqS74oor2hzXlkw1c6Qnk0m1cOFCdcwxx6ji4mJls9lUVlaW2meffdQdd9yRNtDFyLJly/R5zKLLlGqOoLPb7QpAp/WwjvLbb7+pm2++We23336qR48eymq1Kp/Pp4YNG6bOOeecDv+Ofv75Z/Xggw+qU089Ve2+++76WcJms6mCggK1//77q2uuuUYtW7bMdP+2PnuSYx15/uFGOeOrrejmLckGGcKUEqVDlI5Nr3R0dkFOJBJqzpw56rDDDlMFBQXKarWq3NxcdeCBB6oHH3zQVLB35Mdv9kBvXKg7s5j/9ttv6rzzzlP9+vVTNptNud1uNXToUDVp0iT1119/mS4knWG33XZr897ZbDZVWFiohg4dqs466yw1d+5cVV9f3+YxeeRSugWurTEdEbR0vzurSG7Jz12pZsP4o48+qsaPH68GDhyoXC6XslqtqqCgQB1yyCHqkUceaeUR25AHozfffFOdcMIJqqSkRNntdpWTk6NGjBih7rrrrrRG944ogR0VXB9//LGaNGmS2nfffVVeXp6yWq3K5XKpwYMHqwsuuKDd9fqNN95QQLMjwhiyvy3x3XffqczMTFVYWNhl6Z+CsKG8/PLL+vfcVtrElmBrSp8Qthzl5eX6udEYSS8IgiAIG4pFqY2oqt4N+P7777H33nsjLy8Py5cvR25u7paekiAIgsBQSuGAAw7A559/jlmzZuGCCy7Y0lPapNx333247rrrcMopp6QtZC4IG8v69etRU1OjGwCYMW3aNFx77bVwuVzw+/2d7mS2KZk4cSKefvpp9OvXD6tWrdrS0xG6IclkEsceeyxef/11PPjgg7potiAIgiBsLJ3qGtkd2X333XH33XejqqoKF1988ZaejiAIgmBg2rRp+Pzzz3H88cfj/PPP39LT2eRce+21uO6667Bw4UJcdNFFbbb7FoQN5YknnsAee+yRtnMbALz88ssAgGOOOaZbGcEEoT2i0SjOPPNMvPHGG7j11lvFCCYIgiB0KVu9IQwQpUMQBKG78tBDD+H666/H0Ucfjeeeew4Wi2VLT2mzMHXqVDz//PNYsmQJPvvssy09HWEbpbGxETfddJPptkcffRRLly6F2+3GrbfeunknJggbyTvvvIP/+7//w+LFi3HLLbds6ekIgiAI2xhbfWokZ/78+fjnP/+JF154AaNGjdrS0xEEQdiu8fv9KCkpwQ033IAbb7wRGRnbhO+lUwQCAcTjceTn52/pqQjbGHfddRemTJkCABgxYgSOPfZYFBcXo66uDm+99Rbef/99+Hw+zJ8/H2PHjt3Cs23h2WefBQDMnj0bn3zyCQoKCjBjxgwAwOGHH46ioqItOT2hm1BRUYGsrCy4XK4tPRVBEARhG2SbMoQBonQIgiB0FxKJBCorK9GrV68tPRVB2OaIx+N444038Oabb+Lrr7/GypUrEQwG4Xa7MWDAAIwZMwZXXHFFt/v9tRUV+uGHH+Jvf/vb5puMIGxjrHl6OJqCZSnvWawu2LIHbKEZCYKwPZLwr4BqjKS8l+ktQZ8JP26hGbVmmzOECYIgCIIgCIIgbG+seiQPKhHc0tMQBEFohcXmRf9La7f0NDTWLT2B7kQymURZWRl8Pt92U8dGEITuiVIKgUAAJSUl22VK4baMyBpBELoDImcEQRCE7RUxhDHKysrQp0+fLT0NQRAEzZo1a9C7d+8tPQ2hCxFZIwhCd0LkjCAIgrC9Ie4fhs/n29JTEARBSEHWpW0P+UwFQehOyJokCIIgbG9IRBhDUlQEQehuyLq07SGfqSAI3QlZk7YdLFZXqxphwajCb+VSEloQhM3HTsUWeJ2pssVi7V5dgMUQJgiCIAiCIAiCsJVjyx6AWKQq5b3fyhVOfLBpC81IEITtkRevzMSe/VMNYd2te62kRgqCIAiCIAiCIAiCIAjbBWIIEwRBEARBEARBEARBELYLxBAmCIIgCIIgCIIgCIIgbBeIIUwQBEEQBEEQBEEQBEHYLhBDmCAIgiAIgiAIgiAIgrBdIIYwQRAEQRAEQRAEQRAEYbtADGGCIAiCIAiCIAiCIAjCdoEYwgRBEARBEARBEARBEITtAjGECYIgCIIgCIIgCIIgCNsFYggTBEEQBEEQBEEQBEEQtgvEECYIgiAIgiAIgiAIgiBsF4ghTBAEQRAEQRAEQRAEQdguEEOYIAiCIAiCIAiCIAiCsF0ghjBBEARBEARBEARBEARhu0AMYYIgCIIgCIIgCIIgCMJ2gRjCBEEQBEEQBEEQBEEQhO0CMYQJgiAIgiAIgiAIgiAI2wViCBMEQRAEQRAEQRAEQRC2C8QQJgiCIAiCIAiCIAiCIGwXiCFMEARBEARBEARBEARB2C4QQ5ggCIIgCIIgCIIgCIKwXSCGMBMsFsuWnoIgCIKwjWO1WpGZmbmlpyEIgiBsw1hggcViEf1GEASBIYYwExwOx5aegiAIgrCNk5+fD6/XK8qJIAiCsMnItGbC4XAgMzNT5I0gCML/x7qlJ9AdOfbYYxEMBlFVVYWGhgYEAgEEAgHEYjHEYrEtPT1BEARhG2DUqFGIx+Oorq5GOBxGMBiE3+/XsiYajUIptaWnKQiCIGzFeD1e7LbbIIRCIUQiETQ0NCAejyMWiyGRSCCZTIqsEQRhu0MMYSbsscceCIfDKCsrQ11dHWpqalBdXY1gMKiFR1NTExobG9HU1ASllAgQQRAEoVMMGDAAyWQS+fn52gjGjWINDQ1azjQ2NiKZTKKpqWlLT1sQBEHYirDb7ejduzfC4TACgQBcLhei0SjC4TCi0SgSiQQaGxu1nBHDmCAI2wNiCDNhn332gd1uR2NjI2KxGMLhMNatW4eamhqUlZVhxYoVqKurQ1VVFerq6hCLxRCPx7f0tAVBEIStiJKSEjgcDvTv3x9NTU1oampCIBBAKBSC3+9HeXk5AoEAqqurtTOmvr5+S09bEARB2IrItGaib9++AAClVIp+U1tbi1AohPr6etTU1CASiSAcDkukmCAI2zxiCDMhGAzC4XAgHo8jkUggHo/D5/PB6XSisLAQgwYNQjgcht/vR2VlJerr61FRUYHq6mqEQiEEg0HEYjEkk8ktfSmCIAhCN6WhoQEOh0NHelH0V2ZmJnw+H2w2G+LxOHr37o1gMKgNZPX19dqzH4lEkEgkkEgktvTlCIIgCN2QpsYm1NfX62gvq7VZ/bPb7SgsLEROTg569OiBaDSKWCymDWMUnRwOh9HY2IhEIiGGMUEQthnEEGZCJBJBU1OTDhdOJBLIyMiA3W6H0+lETk6O9qYUFBTA7/cjLy8Pa9euRUNDA2pqatDQ0KBz75uamsSrIgiCIKQQDod1JBilpvBCxk6nEw6HA16vF1lZWYjH4zpCLBgMoq6uDn6/X6e4kKyhlH1BEARBaEo2IRQKaZ3E4XDAarXqV2ZmJpxOJ3w+HxobGxGNRuF2u3WKfkNDA6LRqHa8iJwRBGFbQAxhJgQCAWRmZsLv92tPCC9anJmZCZvNBqfTCbfbjZKSEgwaNAgAEIvFUFdXhxUrVqCiogIrV65EbW2t9qoIgiAIAgCtmJAXPhKJIB6P62jiZDKJjIwMZGZm6pfT6cSAAQOQkZEBi8WChoYGhEIhVFRUoKqqCoFAAPX19YjFYlJPTBAEQYBKKu2gJ6dJRkZGyosbx+x2O4qLi7WRLBwOIxwOo6qqSjti/H4/4vE4GhsbxSAmCMJWiRjCTAiHw1BKaQ8ILfS8iKTFYtFRYpmZzW2JbTabVlp22GEH9O7dG0OGDEFVVRX8fj/++usvnYsfDAb18QRBEITtD6ovGY1GddRwRkYGlFIp0cQAdNt7kj0ZGRkp6S29evVCfn4+YrEY6uvrdVqL3+/X9V4EQRCE7Y9kMqmd8TabDTabDUopNDU16RrH0WgUdrtdy5f6+nrt+LdarcjIyECPHj2QnZ2NRCKBhoYGLV/q6+u1riQOGEEQthbEEGYCKSXRaDTF+MXTV3ievcVi0cYwh8OBrKws5OTkwG63w2azoUePHvD7/fB4PCgrK0NtbS2qqqoQDocRi8W0N0U8KoIgCNsPiUQCFotFKyKUFknygKegZGZmpmwjQ5jL5YLNZoPX64XX60UymUROTg5qamoQCAS0Rz8SiUhHMEEQhO0QKpBPhi2LxaLrfXG5QI5+pZSOSLbb7XC5XHA6ncjKyoLL5QIA+Hw+eDweBAIBZGRkIBQK6ehmSpsUOSMIQndGDGEmRKNR7REhLzwZx+LxuF7gSZngQiMajaKhoQHr16/XSkp2djby8/MxePBgNDY2IhKJ4M8//8Sff/6JsrIyrF69WhfYFwRBELYPGhsbtTOFXhQlxpUJ+pfGANC1xbjcsNlssNvtyMrKQv/+/ZGZmYnGxkZtFFu7di3q6+sRCoUQCAS21GULgiAImxFLRgZcLpdOfQwEAojH4wiHw9oARvB0SQC6NhgAlJWV6dIwhYWF6NWrF6xWKxobG3XNyrVr1yIQCGhnv2S+CILQXRFDmAnRaFSnnABoJSAoXYUiuUhYUOgwGcao4D7QXIA/Go3C4XAgMzMTJSUlyM7OxuDBg7Fu3TqsX78e1dXVqKioQDAY1PsJgiAI2yZUHN9qtbaK1OLRYUBLvTDaRn8TJHNisZiub8nrveTm5sLpdOq6l5WVlQiFQgiHwwiFQpvxqgVBEITNiQWA1+vVciIzM1NHe1FEGOk0FBUGQGe8cOd/Y2MjwuEwKioqYLfbYbVaYbPZkJmZiZycHLhcLm0Iq66uRiQSaVX/UhAEoTsghjATyIORkZGh01IIo3Ji7JpCxjBa7BsbGxEKhbQg8Hg8cLvdyMnJQX5+PiwWC4qKirBmzRqUl5fDarWiuroadXV1Oi1G0lgEQRC2PahgMTlejPKEd5AEWoxhXEkxbqcUfjKWOZ1O3X2S0vapFgx58Cm6TOSNIAjCNogF2uHCU+t5NBil3wNISY0kpwvpNmQ0i8ViWs5QZ2PKgvF6vTqowO/3IxAIIBAI6BpiYhATBKE7IIYwE8hoxXPmSVHgBe6NQoELCzKI8cKT1JK4trYW5eXlcDqdsNvtyM/Px/Dhw7HXXnvh0EMPxbp167Bu3Tp89913qKqqQm1trQ5LFgRBELYNjMWFSfkgZYXSIUm2kCwyUyLIQEZjyfMfCAQQCoVgsVi0Qcxut2PHHXfU6f7l5eWoqalBbW0tamtr9bwEQRCErR/qGskxNl3hRjGKVqZGYQTpNlzOUHOxhoYGZGZmwuv1aqf/zjvvrJ0za9asQW1tLerq6rRRTAxigiBsScQQZkIwGNQFjEkh4cqJ0QsPpHrmjYYxI1R7jLzyFDXmcrngcDiQm5sLt9uN7OxsVFRUoKqqCn/88QeCwaCkTQqCIGwjxGIx7SShKCxSLMyisni0MY0ljJ26+Dbah4xj1PSFao7l5OTA6XQiLy8P1dXVCAaD2oBG3SsFQRCErRMFpTsHWywWvaaTw547/gmSNxQ5BqDVGO6wIV0pGAzqNP1YLKaL8+fn58Pj8SA/Px/V1dU6NT8SiUiUmCAIWwQxhJkQDocBIKWlPc+ZJ48I0OKFNyovNJ4LDS4wqJNXRkYGotEogsGgVkSysrKQnZ2NXr16oaamBpWVlbBYLKisrERlZSXq6up0FIGksAiCIGydxGIxZGZm6q6RQIsByxgJZsRM5hi3G502FNkcj8cRj8d1DTGPxwOPxwOguY5MXV0dampqYLFYdH1LSZkUBEHYeiHjF0V6EdSwBWjWadKl55sZw2hsZmamlhEkZ6iDJEUiZ2dnw+fzoampCTabDQ0NDaivr9cdksXpIgjC5kYMYSZUV1cDQEq6Ci8iyUODeXdJbpgiTzt1naQXN4aRISwUCum/KWWSIsNycnLQr18/DB48GH6/HxUVFfjuu+9QVlaGdevWoa6uTrwogiAIWyHUoZiv4VwZMNYDo/9zeUTvcYWFjmlmDKNo5Wg0quVQIBCAzWaD1WqF0+lEr1690KdPHwQCAdTX16OqqgqVlZWIRCLS3VgQBGErQyVbnCZKKZ3+bsxeIZ0FaJFF5Njnzhle8oWyYABoPYc3CiPnf01NjdZvcnJykJubiz59+sDv96O+vh51dXWora3VEcuCIAibGjGEmZBMJlOKRgItXhEyWNE4+pcWbWNKCxcePKeev88Na42NjUgkEjpUOBqNIhQKIScnBwBQUFCAvffeGzU1NSgvL8fy5ctRX1+P+vp6RCIR8dgLgiBsRXBDFa3fZMgi7zzJDDOnh1mnSaNxjd4zizDjdcfIwJaZmYnMzEzYbDadNul2uxEMBlFfX69TJkVZEQRB2Ar4//oGRWxx/YMX0efyiIxi3PFChjNKr+QpjVyvIR2KzkfHaGxs1EY4kklOpxP5+fnwer1wuVwIh8MIBAIptZoFQRA2BWIIM4GUAKAlBJjaBwNoVSSSBARBCz/Bo8YIo8JCAofSVjIzM5FIJLTiEYlEdMevoUOHIhKJoL6+Hna7HWvXrsXq1atRXV2tO02KQUwQBKF7Y2HKiZkyQfLBzFhGmNV1MXPIGL36JCdIISEliDpZZmZmwu126y7HPp8Pfr8fDodDR4eFw+G09cwEQRCE7kGGxQKbzaZ1E2O5F6PewpuC0TaSU2a1KXljF9JneP1LGkeGMJ6an5WVBZ/Ph7y8PLhcLvj9fq1zxeNxJBIJkTGCIGwSxBBmQnZ2Nmw2W8qiTyHCvKgxQZ23ePt5Hl5M3hMysHHPPIURA0jx1PDOLSQ0KioqkJmZiaysLGRlZSE3NxdHHnkkIpEIqqur8cUXX2DdunVYuXKlLlYpCIIgdE/sdruuz0LyhpwZpHhQxDCl3/OOjrTdaCjjMojLISDVcMa3kxyigspAc71Mm80Gm80Gl8uFnJwc5OXloXfv3vD7/SldjaWJiyAIQvfEarWiuLg4pX4XpUaS3mG32wFAN/AivcZiscDhcABI7WycTCZhs9n0OYyZL+RUIf2H1xCj7BellE7NpyZhTqcTPXr0QG1tLRoaGlBdXa27TIpeIwhCVyKGMBNCoRBsNpte6PmCzfPlMzMzdUgx5cATNptNb+fRZQBSDF8cY9F9igzjBS4tFgsSiQTC4TDC4TBisRisVitcLheGDRuGnj17ori4GH/88QcaGhrg9/sRj8fFmyIIgtDNiEajuqMWGb+4B503VyH5wtvdA0hpvEJKCB3HiFLKtPOksZEL0GIwI0cQpUxyLz7JHh65LMqKIAhC9yKpkrrpSTwe13+TMYyigUn3odR4csKQQ4bLHnLKGBuC8WgyHknG0y8pCo3mwGUWyTSn04mMjAw4HA4tX4LBIGKxmGS+CILQJYghzIT6+npt4CLvCS32fIG32WxwOp1aCeHGL7vdrhdy8pjE43HEYrEUwWMWXca7gCUSCR0iTJ77cDiMhoYG1NbWwu/3Izs7Gz169MCQIUMQj8cxYMAAOBwOrFu3DqtXr0ZDQ4OOMhAEQRC6B+FwGHa7PUVR4IoFkFrviysjlHpCcof+BaCjiHnkmFF+8eYu5PUHoOUN9/oDzVECZARzuVxwOp3w+Xzw+XwIBAKw2+2oqalBJBKRepWCIAjdiGQyqWs7JhIJHe1FRihKYySdhoxRpJPQ2u90OrUxjNLjef0vHiwAIMUwxuWa3W5PSc+nFP1EIgGbzQaHw4GsrCxkZ2cjNzcXHo8HDQ0NWm+SGpWCIHQFYggzoba2Nm2dFQofJiNYVlYWnE4nPB5Pileev0hIGNNX+IveM+bo81bEPLWSjGTxeBw1NTVYt26dbk2cn5+Pww47DPF4HOXl5fj666+xfv16rFmzRhefFARBELYswWAQdrs9Zd3nXYWpk6PD4YDb7dayhjDrCNnY2KjlBEUU8w7G3ADGO4CRrEkkEim1xEhG0bGBZkMbdwZlZ2cjLy8Pfr8fwWAQ5eXlqK6ulg6TgiAI3YDGRCMqKytToo0BpEQc2+12XbA+OztbG7a4/kLGqqamJjgcjpTaXzxNn0cGk1HN4XBoOULBAJR2SQa0WCyGWCyGYDCIUCgEh8MBl8sFr9cLn8+HXr16oaqqCg0NDbpWpVnJGkEQhI4ghrA2oLBgEhAkLEg54eHCiUQC0Wg0JcWEMBq0eH0WghvDjMWP+XsUukz7UiFJ8u5Eo1EkEgnk5+fr9JVhw4ahuLgYOTk5WLt2LRoaGtDQ0LA5bqEgCILQBpRySAoJyRqbzQa73Z7SbIUcK8YIZZIRPA2FyxoyeNHfxu6RZDDj3SqBFuePMZ2f0vb5/jRfr9eLoqIiWK1WhMNhBINBLZ8EQRCELQPpLWR8ovqPZMDinSQbGxt193oeeUVOEV42hhuiSL7Qufi+FElGpQC4MY6imUmGKaV0+iY3qFEtMTqH3+/XKZPcwCcIgtARxBBmQmZmJux2OxwOh/43KysLDodDhwWTMAiHw0gkEikhwmY1Xui4pMxQ6iQVkgSQ4nU3GtMAaAWF9qG2xkCLlyYYDKKurg719fXIzs5GSUkJhg8fjng8juLiYnz33XdYu3YtQqGQ5NgLgiBsQWg9pyhjm80Gn88Hp9Op0+pJ4YjFYmhqakIoFNIOD5IVJDuA1AL4pCxwuUFyB0BKGqZZMX2uuBjrv/D6MnQel8sFt9utu4AFAgGUlZWhvr5e5I0gCMIWwmKxwOPxwG636yheWq/JARKNRtHQ0IDGxkYEg0EEAgFdzgWATknkx+QGMN4tkhz2lKZP6ZL8fZIllCbJC+3zAIJoNIp4PK5TJrOzs+F2u1FQUIDKyko0NDSkNAAQOSMIQkcRQ5gJffr00QKD56OHQiH4/X5dpJ5y7SnSC2jxmHOvBvfGk6Dgig9FAPBxPKyYhBTtm0wmUwok81ouFJkWiURQWVmJNWvWIC8vDz6fD0VFRTjyyCMRDAbx448/4rfffkNlZSWqq6s3490VBEEQAKCwsBAej0dHH/O090gkouUML0rMDVHc4cI7dAEtEcd2u900opmnsJDyQMcnYxopJ9xbb6z3QikuQHOkGJ3D6XTqFJva2loEAgFUVVXpVBZBEARh8+B0OTFkyBCt01DNYkpBjMViiEaj2vBlrPNFMogbmfjfXLZQOj/PmolGoymdhbkDhvQb0rkaGxsRj8f1OZLJJILBoHbkBINBXaOysLAQhYWF6NGjByoqKuD3++H3+8UgJghChxBDmAk8/YRqppAQMIYL81QUY3FIHvZLUL0WnurIz8uVDuOxjPXDeJizWa0YnipDAigrKwsZGRno168fLBYL8vLysGLFCjQ0NGhviiAIgrDpocL01NmXd9CieilcFgEtNcR4hJYxWgtITYcEoJUNkkE8HcXYpIXmZuwGxo9rluJP8+bGtMzMTHi9Xh1dRrKG6lWKsiIIgrBpscCCaDSqdRd63icnP/3N13DeqIW2Gcu4AKkNXUg+kZyhaGGn06nLxxh1GRqv5/r/5QaXa0ajHJd1ZITLycnRTqVwOKxLx4iMEQQhHWIIM4GiqoLBIBKJhPbK08JrXLCBVEXBWGSfQ4KBBA2PBCNhQcoJGeSamppSig5TGgzvFGZMfyFh1tTUhHg8jkAggNraWhQUFCAnJwd9+/ZFcXEx/H4/nE4nVqxYgerqagQCAREagiAImwFKR6HUDx6dZVbUmOSNMSrLWMMLMDeEUVqKUiql1qVZt0qKMDM6dOg97rAhaM7k0c/IyNCRYR6PB16vFzU1NTo6jHe2FARBEDYNyWQS1dXV2glBxiSKQDau8zzdnpd7oWPxjBfukKGi+ZTKz8vM0LEA6BRL7tShNHsAuk4Z6UzGa6GUS+q8nJubi9zcXOTk5MDpdGp9hnQh0WsEQTBDDGEmVFRUtCpIzOuvGD0fRmjh5koLCQx6n8KHebcW6gxGigQpPpRKaYwio7oxxmPxYsi0+NO1VFdXo6GhAXV1dcjJyYHb7cYBBxyAIUOGoKamBt9++y2qqqoQCARSagEIgiAIXUtdXV1Karsx9RFo8bxzmULwQvtAi8LCuxaTfKFUfKqz4nQ6dXo/d95Q5BY/B693yb3/hNncaAwZ+WgueXl5yMnJQU5ODurq6tDQ0ID6+vquuaGCIAhCK2LxGKqrq7V+wR0QPL2eHBzGCGGKuiIjFJcHPOrLarXC7XZrmePxeHTaJe2nlILH49G6EelVvDA/RYVR6RmuD5HxjdIok8kkKioq4HQ6Ybfb4Xa70bt3byQSCVRXV+uSNpRuKQiCQIghzATqcMXTHnk3SPqb/s9rstAizZUTY/ojH0PeeHqRh5yi0ow1WYxeDapfxpUmXgzZ7NoozJiETGZmJjweD6xWK4YPH461a9eiqqoK5eXl4rEXBEHYRBg97cb0Ri57+NrPG7AY60tyucS7TfLCxlwZoqL7xu5g3LiVkZGRIg/pPS6bzAxkJGuM46xWK3w+n45M47JP5I0gCELXolRL7WGjTDHWmgRa1n9e15jLA4re4s56crpwvYjWdOOrZV4qxcjFHSoUNGAGH0dyho5LQQFOpxP5+fm6ZhnVDpPukoIgEGIIM4EWU6MSYqz9ZVQ4SGhQyiKPCOOeDyC1wwo3ZlEhYd5phXdT4QY2mgOAFOFFipGxexiNp+P5/X6EQiEEAgEUFRUhPz8fAwcOxKpVq/DXX3/hv//9L+rq6hAMBjf1LRcEQdju4DUjCWMxYmPao9ELz2tFmhmjuLzgso0bwagWmTE9hssSPh8qtm+1WltFshnh8pFHOrvdbjgcDl3Xxe/3IxAIiLwRBEHYBJjV+ErXcIVKt3CjEhmlbDZbSkF90n3IGEZpjqTbUDQY6Tc86ot3mKR9SZ+h81GaJM+I4TLJWDYgFArB4/HA6XSiZ8+eyMrKQjAYhFJKd13mAQqCIGy/iCHMBAqf5eG/AFIMYkYPBve887BdMkBZLJaUYpOkhJAA4bVaeIiw8Zyk/PBikrx7Fx2LzskNYnQOCn0mj04oFEIoFILD4UBubi6ys7MxdOhQlJSU4LfffsNff/2FFStW6Eg5QRAEYeOhiF+SBWY1J4HW0cYka3gaC1/vqcEL0OI8IdlAtcGAFm89d9ZwYxjVe7FarSn1YciAZ5RBQOs0SWOUGTUBiEaj+jp69OiB7OxsRCIRlJeXIxgMIhwOb4pbLgiCsN2RTCYRCAQApNblMjb24voCdX4knYbLAwC68yQ512OxmNaB7Ha7jhwjx76xGD+di45rs9n0fEk28W7KRocLzYvmRrImIyMDiURCO/wdDgccDgcGDRqEhoYGBAIBVFZWakeQIAjbL2IIM8GoEBA8BZIMUtwTz9Me+YunkpAQMBYeBlqKE9P5jR0hjREBPNXFGFHA9+ORZ7zApVEQkZdEKQWfzwe3242SkhLt/amrq4Pf708p3C8IgiBsGBQhRXAZQ/AoX3KscAeH8X1SSuhvSn/ndVZ4XRbaz5hObyYDjamR9B6nvc6VND/y/PMaZhaLBbm5udrYZywPIAiCIHQepZIpEV/GNMSMjIwUw5dRxnBnOl/z20q1pL+NdcY4RqMY7WOWiWNWJgBoqd1sjHbjDcfIGOZ0OgFAd8uMRCLSWVIQtmPEEGYCD9vlgoAgxcThcLTyYBC8bgspJJmZmSmpKdw4Rd4LHgpMhY3pWJTOEo1GU45LQocrNhQpQEYuEmykFNF86Nri8TgsFgvC4bDuJNmrVy8UFxejf//+yMvLw2+//YYVK1agsrJSFBNBEISNhB7YudPDmP5ut9vhcrl02oixwyNPwyf5YrfbtZfcGL1FY3ikGEWL8eivxsZGRCKRVqn4JE+43DHCDXHGdE2SPwRFR5Os69mzJ3w+H4LBICoqKhAOh8X5IgiCsBGopEpxqPBo3szMTDidTmRlZWmdJpFI6GgvALqjPZdTZFSibBHqYs9TLal+GJWMcTqdsNlssNvtOqLM7/enGNyA1MAA+htINaxRwAB/n/7lhjVq1uJ2u+H1epGXlwev14vq6mrU19ejvr5e6oYJwnaKGMJMcLvd2ktN8EWVDGAOhyMlHz4YDOrwX9qHoGLAvBYLj+qi45Mg4QKAvDAAtCGLRwIYCy4DSEm14VFnPN3SGLnG0zcTiQTKysoQDAbh9XpRXFyM3NxcDBs2DF999RUqKytRXV0tXVgEQRA2ELfbrRUDghcHJuWBFAmgJcWF0k248YyniZCsIaOWMWWfp8qTw4Q3iSHlgytOPI3SmCbPo8p4xDPNj0PHMHa8pG1Op1O/AoEA/H4/ampqRFERBEHYAGx2G/r37w+gJWuE1lOq70XdHmlNrqysRCQSQTgc1sYlkk+U4k56D6U3kk4CIKX+FzlbaCxPkXS5XFomkewifYRnsBBm2Tc0J7o+HiRA8occKvF4HE6nEwUFBcjPz0dFRYWuT0klcQRB2D4QQ5gJ+fn5cDgcKYYw/iBPCgQpL1TjhYrbk0AgJYO8IqRk8FBingpDEV38b1I8jGkoxkLFfJuxphj3ypMyZBQYXCGhf8PhsJ4HCci8vDwMHDhQK2+VlZVSO0wQBGEDKCgo0EXjCXKucGcJ1YXkRi6SOzySi4jFYnpt56n4xpqXhJlM4Gn3JL/aUhCMXnigRa5xucVlEy8LQIY2Hqnm8Xj0frFYLEWJEgRBEDqG3W5HSUkJAOhnfu7w4DUkgWZjU0NDgzYMUQSY3W5HKBRKabbCa21xoxXJMJJfdG5upDKm2vP/c12IMJYEMEZQkxziug7929TUpPU00uGsVitycnK0vsY7SwqCsO0jhjATBg8eDI/Ho4s9AtBGJ1ocyctOD+a8IwoAnY9OxjTyqNDCn67gPlckuNGML+a8WxjPw+f59ECLQYsb8fh2o+LCO3txQUaRBVlZWfB6vRgxYgSqq6uxdu1afPrpp6ivr9dFOAVBEISOMWTIEHi9XthsNr3+2u32FCcIFQEmh0NTU5OWNRaLBS6XKyV6KhwO6w5ZxpexniWXO7wYMZdRPPIYaFuGtIWxdiWdk6e9ECTX3G43srOzkZWVBavVikAggPr6eoTDYfHaC4IgdBCPx4Phw4cDaF6LnU6ndqqQUYo7tTMzM1FTU4NIJAIA8Pl88Hg82jnR1NSku0FS13teDobLM+omSYEBVOKFO/qp3AzpG1yPMcoO3s2Yl67hBjPeNIyOR9dH/6fyM/n5+cjKykI4HMZff/2la4dJCRhB2PYRQ5gJu+22GzweT0qaIoXsRqNR1NXVIRKJ6MWSPAx2u10LEYqYstlsyM7O1l5/KjYfDodTwnvNFAkeQcY99KSU0NwIblTj0QCE0SuTzkvPXySsAGhjXzweh91uR58+fTB69GisXbsWf/zxB9asWSNeFEEQhA4ybNgweL1eXX+FUlSo5Xxtba02bEUiEcRiMV2LxeVyAWiWNZSun5OTA6/XC7fbjbq6OoRCIQQCgZS6LkDrIvaUEs9THwneadioGHB5QselFH/CaEDjSgtXmAh6PzMzMyX1PisrCw6HAx6PB1VVVYhGo1pJEwRBENLjdDixY68d9Zrrdru1MaumpgbBYBChUEjrG42NjXq95VkhTU1NyMrKgtPphMfjQW1tLRoaGuD3+1PqTRJ8bScjVyKR0MYzigYmHQtoiVam6GgAKXoQyQeSgUqplMYqvGQMd9ZwOUZlBSwWC+rq6vQxS0pKEAwG4ff7dXSYGMQEYdtFDGEmeDyeFC89kBotBSDFU09hwdxQxRde8vBTGG4oFNLHokWdMPPim3VPMdZYMSo5Zq3ujUoIL6zPvUC8sD8XJPz8Xq8XXq8Xubm5+h5EIhEEg0EtkARBEIT00DpKNVJ4qgeXNTyamHvKuWecFy+mOi82m03vy2ulcIxduIwFh3l3R4LLLC5rePq9scg+T7Xk5+LH4+UBjDKEUlksFgt8Pp9OwZGaLoIgCG2TkZEBl8ulHeh2u13rMHxtJllB9bT4uksyhxq4UBMXt9utjU887RJAiu5C8PPx7JPGxkYtu3jdS17/kuQTr29GOg69b8yUMQYa8Kwb2o83KnO73br0QCwWS2kaIAjCtoUYwkygIsTc4ETe51AohJqaGkSjUYTDYd16NxaL6egp8qyTACGjmsViQSgUQigUQmVlpY4O4ws7jwAjgcXri/GuXwB0EWUSPDzNhRdONqZWAqlGN16wmIxgpPxQWmg8HtcdvAKBAOx2O/Lz81FYWIg+ffrA6/VizZo1WLFiBUKhkCgngiAIbcCbk9C6HYvFtFOhurq6layJRqN6P5IZSik4HA74fD79QJ+Tk4NQKASXywW/36/TCbkcIZlATh/al2/j8FpkPJLLqMzwIslUILktRcIYRUCKDD9HLBbTcywsLNQGxPLy8hSZKAiCIKSSVMkU/aK+vh7RaBTBYFDrNNFoNKUWI+k0Sind2dftduuGYgBQXFyMWCyGsrIyVFZWIhQKaf2JZFsymdQGNHLeULQv6UvcuEWlZYwGLB6xTPPjzh/e8EVft8EAR5k+5GxKJBJwOBw6TZSMhAUFBbDb7QgGg6itrUU0GhVjmCBsg4ghzITa2lrtDaHaLKFQSBvDSBHhBfJpoSevvrFNMRnFMjIy4HQ69fsNDQ3aaMTz4EmRIMhzwzt3GRUV8mzwLipGZYmUFGOtFvqXR45xDwxPYyEDmc1mQyKR0J6h3r17IycnB0VFRfjpp5/Q0NCAYDC4uT42QRCErYpgMKgdJPRwT7KG/iVHC9U34Q/zlCZJ9VdI2aC0fLfbrY1RVqtVn4+KH9OazqOfSdaQ7ONp9AC095w7amg8kS4i2Ogc4YX7aR9uEOPHpAgwkkV2ux05OTmwWCw6fVSiwwRBEFqTbEqipqZGR31RaZdwOJxS65jS7yk1knQVSr+32+26aD7pCWQky8jIQHV1Nerq6rQ+Q0Ynq9WqdR8ebUWOHp76SPUv6Ry0LzfMUdQa6TQ8w8UYNWasvQwgRYbyFHyq65xMJuFwOHSkNTcWiowRhG0HMYSZEIvFdG46LdbUrj4Wi2lvPC9kT2koXEkgjzhfjOkhn4xH8Xhcexp4txNSTkjZMFNOeIoMf9F7JEC40cyYM280gvEUSIJ754HU8GmllBaiBQUF8Hg8KC4uRm1tLWw2m65BIIJDEAQhFVrTKeqX6jCSZ97YXAVASkF9kjckawBoxYVSTDweD9xut5Y1tHZzJYUUDl7MmBQMUjpoLI2jf40pKoSZ95zLAZ72QuO5vDRz9BiPbbfb4fF4UoxkvBOZIAiC0OJsoEiqUCikDVHcaMT/JqcKOVLIOc/1C1rD3W43PB6PzpzhTgySF2RMI3kXi8V0fUyK5uI1ivmaT84PYzQzX+/Nai2b6UfGOphcbnH9ijJunE4nvF6vloftRTgLgrD1IIYwE8jQZbPZUtro0uJPSgivzQKkdjIhuHeDP6xTHjp1AKPOLVzJcLlcusg+GcPIMMdrk1EkAZ2PlBYSPLxjCp3faJjihfvpb5o7CSky8NH5qJgx1T0LhULwer3IycnBiBEjUFlZiZ9++gkrV67UEXaCIAhCMyQ/XC6XXtcBpEQV86YoPOrL6PQAUo1HPM3E5/MBgFZ8+LnpQZ+6TwItjVrIScPTV7jSQNFpJKNoLKX887kYDVskN43RZolEQs+Pw9/nkWQkI6nOGkU5CIIgCC1QZ0Ra18mIRU5rrqMkk0kdwUWQHhGLxbTcIacJFdTPzc1FIBDQXRd5l3uXy6W7T1oslpSoMF6Py+jwj0ajWvdyu906I4dn0xgdKMaOkkBqc5doNJoiS2jfRCKh5W40GtVzz8/Ph8/ng9/vR21tbUqHTUEQtl7EEGYCLYy8DgtFZ1HeOikKgUAgpRAxNyLRsciTQh51oNloxjtT8ppc5MHPy8vTrYcpJZHqdJEgIGMYr01GYzhKqZQoAxpPwtBo7ONNAnixSjKI0RgyCtKxqIYNdS/be++9dZev8vJyJBIJiQ4TBEFAS5t53g3L5XKldIUk5aOhoUGv+dQBmBeZJ4OWw+HQnmzy2Ofk5GilhqfZO51OOJ1O5OXl6f1IQeERZGZOF1rvI5GIXtPpWrhCQ04b7rk3cxDx/dPdKz6OlBg6jtPpREFBASKRCOrr63UHNEEQBAE6o0UpBafTCavVCofDoTNVkskk6urqdIo5Ob+NdYfJcULpkKQnUGdfcpKTXkTRYlR3i6LCyKhGOk08HtcyjpwppFM0NDRowxpFHweDQX1NJG9ozedNXIwRZvx6jPLGmEJJkIEsPz8fmZmZCIfDuquk6DSCsPUihrA0cAMReRdIIFB4MC26tHjz1BSeTshrhRn/JaEBIKXgMXVkNKZHkuLBa5RxRYWEht/v1wKPjFgU4myMzuJRYsb0E16An8Ovi4QgXQMZy7xeL7Kzs1FSUgKr1ZoyLwkrFgRhe4c/dPPOvTwCjKeAkOIApBrRSD6R95o3OeFGMl4/hTz0Ho8HeXl5WukBWmpjUuQAN2bRgz+NIQMd7xZGRZETiYQu0g+k1gIz6+ZFGFMogdbdJnljGAC6jgwvgixee0EQBACWFuc+gJTaXeQ4AVpKw1DdL3JWUB0tKttCMsaoG5FDhdfiIp0mLy8vxYlBMoYbsUjGUUQY6TyVlZXaQEcOeLvdrlM86XjxeDxFbgIt8sQYTczlEsH1GaOeQoEJ1CWT5Juk4wvC1osYwtJACyo3iJHi4Xa7tYHKbrfrnHhaDI056zzfnqdP0kLMFZisrCy43W7tbeHH44WC6W8zg1gkEkFNTY0uhskXewpZrq+vTzGe8Qgxmjsvmk/z4MY+rqzx9BkSYvX19cjOzkb//v3Rq1cv9OjRA9999x1qa2sldUUQBAFIKYIPQDsfSB7wdve8/go3UAEtD/nkgSdZQ+fgjg2r1apTVCgygKe4cAcQzYkbl7jThYoIRyIRPZa89ZFIBBaLRXv3Sa7SeTg88oBIZygDWjtwSDGiiGq73Y5AIICampqu+7AEQRC2UsgpQZ18Sbbk5OToBiuZmZmIRCKIRCIpxfBJhlCUMQAdTcYbrdAYOl5OTg5cLhccDocew+UX1aIkKMKLUisp1b6iogKhUAjhcDjFOUK6TnV1dUq3S2oCYNRbSM5wuWFmHKNtNE+Kco7FYjrjxev1ory8XHd1lsgwQdj6EEOYCcFgUHvTCZ6SQUYxqvNFhilaCHnRX1pEyXNCLd+zsrL0sXlLYPJqkHDgRfLpoZ+EFRnQeIQa/etyubRCQp4cKlRJEQXBYFB3huHKDUGGLaB1MX0etUDCyuFw6FBont9PNXB69uyJZDKJqqoqLF++HMFgULz1giBstzQ0NCAej6dE1/IHc1pPrVYrsrOztTJBUcE8CgtoiVLOyMiA1+uFx+OBz+fThi1eu4scMmSc4kYuo6yhaCtSbigaTCml672QwgI0O30oTYbmk0gkYLfbdecvXkyZHDpAqheeRw+0BS8ETYpeVlaWLitAjh9BEITtkabGJoTiIS1nSMegv7lRzOFwQCmljVJcD6B13mKx6Ihij8eD3NzclBIpBEWTkR7C5Q2NpwgzXm+SnC/08ng8AKANXUCznCkoKNB1w0KhEOLxuK4byWti0r40N2704jWSjYYzff/+v3xJJpMIBAK6e2ZRURFCoRBqamoQiURSnFqCIHR/xBBmAikLPOKJv3jhX+oUSQ/3QOvcctrPZrPB6XTC4/EgOztbKxskFGiRJgXHKAhocSWBQQ/5QIung7wxZnXJKILNZrNpJYZqwNAxuGeEG7OMnVfIGEbHpfPy+dB11NfXI5lMwufzobi4GDabDbW1tdp4yBUiQRCE7QUygpl1faT1FYCugQU0dxymh3We+s5TVmw2mzaC5eXlaQMZT6undExa43m0Fk8N4XVguMIANBuwHA6HLj5M6fg0B0rF55HMtB+PjCaHkVF2coOdGby+GslLul+8tiYpQ1LPRRCE7ZGkSqbUAgZaZA0vOO90OnX6IV+nrVZryv4kBxwOB9xuN3JycrSuQin1POqLZA03hHE9hxz6vL4lr6lM6ZZU7J+/T6VXAOjjcIcSyQmqRcaNXQQ3egEtkdkEj0LjDh+Xy5VSE41kqCAIWwdiCDOBopsoZYQWZfKY8E4mZGjyeDy66L3dbtfHomgop9OJ3NxcZGVlwel0IplM6tx2XkCeFlNabEk48RTFUCikBYDP50upCUPzJ6895dLTy+l0wu12IysrC5WVlboDCik7VFBZKaXDoyl/nxvBSMGge0ICg+ZF155MJhEMBhGNRlFfX4/+/fujZ8+e6NmzJ7744guUlZWhvLx8M3/CgiAIW55EIpFSeJinp5CThcaRcSkrK0unMvKH+szMTJ3qmJubi9zcXLhcLlitVq08RKNRLUd4XRZqosLT4UkGkJPGGIVM8oYUGlKgyCNO0QIkayhNkQx8dK0ZGRmIxWI6lZLXsORRx7zui9HBQ5BSFY1GtfwuLCyEzWZDKBRCVVWVdvAIgiBsL1jQnJHCjVgUgUVrfzQa1XWLfT4fMjMzteOEnC6k01A945ycHLjd7pTSKzwLhpzttC7z9Elaw8PhsK5Lxht2kZyhuo/UJZgHEGRlZcHr9aKwsBBr1qxBXV0dKioqdMYOlbIBmrNg/H4/gsEg4vF4ik5D18edM0CLsZDkHQBtVAsGg8jLy4PT6cSAAQOwdu1aBAIB1NfXS7aLIGwliCHMhFAo1KogJLVmJyWBpw0C0A/9ALQiwAsYk8BpbGzUizDlsAMt0Vg8PcTYyZF7bSismcZTqib9C7QUgCRlgnL9AcDtdqOwsBA+nw8OhwPBYFArVTTe6XTqVBbqjmmsH8b/5jn1ZIijegL0Ki8v1y2Wd9ppJxQUFCAzMxPV1dWtivgLgiBsywQCgZToJYfDoT3MpABwWUCOhqysrBSjE8ka8qaTUSocDqOurk531+IGIJ6SbzwOf4+PIVlEMoaUJq64kCJB451OJ3r06KGdNpFIRBujaD/qdkk1x3g5AC5rgNSC+9wJw8dQaQMyFpJRDADq6+t19JogCML2AKUsUlYIpSDSuk3bKe2RIr243kCRYRQYQPuFQiHU19cjEAggGo3qMeTk4FG/AHTNSx4tRu/zlE2eTUPHoIhjcsbT3JxOJ0pKSnRqJ5Ud4DXIKMDB6/WisrIypRsyj3zj5+IyiMsbMpqFw2F9XXl5eXC73bBYLFrPE6eLIHRvxBBmAkV6kXJCD9DGTom8BhaFyJLBiqcR8tQOqsMSCAR0txFa7LkhiWNMx6RFmVJbSHEBkOJNoRcpBXw8RbG5XC4dlhyNRlO8JECz1548PBS9Zqxhwwsc8/kblZdkMqm7RlLUgtPpRG1tbUqrZEEQhO0Biu6ljo48mpaMYbwNPHUaJlljXPdpbafaX4lEAn6/XztdyNAFtKQJcm+4MT3eqBDwQsKkoPDCyDR3fmyqV+Z0OnUnMl5KgGQU1Vyhui58jFlBYy53uFOGoL9JvpEcpLIAkiYpCML2AkV8UXdHcmDQ/0k/IB2BuiNSXTAArXQa2pZIJNDQ0KBTD3kRfe7gJnnAS7lwGcSdPgQZp7hOQ5kuZESjfbKzs+HxePSaTzXDCHI2OZ1O3XiGHCs8stooF7mc4P/nwQtUm4zKAZB8EQe/IHRvxBBmQlVVFQKBABoaGuB2u+H1enWaic/nS/Eu82Lw5PE2FpHnHnXjQz5XGEio8BQVWpSNnSNpPIUSk/IBNC/2Ho9He20o3ZJHBIRCIWRnZ8PlcqFfv35aYPAFnLwz8XgceXl5qKurQ11dHRoaGlpFrJl1XeH3iEfTNTY2IhwOo6CgAD6fD/vvvz98Ph/WrVuH3377bfN90IIgCFuQyspKBINBBINBeL1e5OTkIBaLwev1IisrK8VjD0BHe3k8Hq3McG87VyYikQii0ahOwaf0dpJR5NQgIxMpRsZILK4Y0Bx41HBeXp5OwSRnCRnhKIWFmsS43W40NDRoGWiM+Eomk8jNzUVdXR1qampQXV2dIiPNMDpcCDIKUqQz76YZDodRUVEhNSoFQdguiMfjWFO+Rnc7pOgl0hXoRVkhdrs9JeKX9A5eyoU6AlOXRkqx5w4Vkk2UKULHI5nE0+55TS+KzCLZlJOTo+uBkQGM6o1RCRaHwwGv14uBAweivr4e4XBYR2yRoYtSPfPz81FZWYnq6mqUl5drHas9eWB0opBRjiLQHA4HioqKYLPZEAgEUFVVZdolWRCE7oEYwkwgDwJ5nHluOnUv4YYfUhSoaDAJB+6pIM8Aj6oCWoo4cu81N3SRgODhuOTRpwgqHgVGXnqPxwOHw6E7QlLIM1dySEkhAcgLYpIhjJQqj8eDnJwc9OjRA3/99ReCwSBCoZC+Xl7DjOfY84KTXNlpbGyE3+/XQiw/P1/PtbKyEuFweDN92oIgCFsGHqXF5QClD1KdFl40uKmpST98Z2ZmallDD/AkayjCl5QAHlFMCg39zc/PZQl3cpA8I287l03UkZjmTZEB/Jj0LzmSqPixsS6Z2+2Gz+dDYWEhVq9ejYaGBvj9/hRFwqyTpFE2GhUP7nByOp3Iz89HfX19q7pkgiAI2xqUwsiNPdwYxR3VAHRqJO3Lnfe8WQqlmRt1ATI4URF7HmVllGlcZyBDGxXu55HHZJwjPYrqj9E18eAAm82mHR+k91CtsUQiAZfLhaysLPTs2RMejwc1NTVazhibgxkzbShVkwcoUD00krd2ux3Z2dlQSsHv9+t7LQhC90IMYSbQokqFhbkngRZoXuiRHr7JqEO1WcgTDbQoJ1w54EoJT13k3haqs8WL9XOlgeZKiowxpcZut2tDGBW+5G3mjbVW6FpoDnQer9cLn8+HaDSKWCymj8Xz/7liQh6hpqYmPXfjPSahYbFYUFBQAJfLpb1KFIkmCIKwrUIPxryuI0VlkdGGjE40jhwYpGyEQiH9cE/OG17knnfs4g/vvI08lxs0F35eIDXCGYBWCKjeDHUyjsViyMjI0EY4bojjRjOSUXQ8Lvd8Pp+WbaTIBINB06gwnr5i7PzFU/aBlkY4VqsV2dnZ+v5z55QgCMK2RlI1ywXuEOBddnkErTHVnCKMKbuE5BDXc3iaPk9B5/XFeDkZLm94xBnXSQCkjCN5Q04eKhFDsoIb6kh+GeUMyUqHw4Hs7Gytd1GxfkqXNBrCOGZRyGREpHNR9lBWVpbWHbl+JwhC90AMYSbQAz/PhTeG1/JFlhSJQCCglRieakjHI8Ma0FIDhoxFZCSjcwItufGUeknhwrx7CY3j9VsAaKEBQLdBtlgsCAQCehwXUHQ93EBHigwZ/jweD/Ly8pCfn4+//voLK1euxMqVK7VwpHsHQKei0P3hypJx/qFQCEBzAf+hQ4fC4/GgoqICP/30kygogiBss5AiQrKBHrgp5YNqgtG6ScaeYDColQDqyks1J6nFPK3z5OQgWUNKBI/44kWQvV5vSpFi2pfXxgRalCeaF0Ugx2IxWK1WBAIB7SjhBYnJy88NdRTVRnOm4vn5+fkoKyvDX3/9hV9//VUrYwR3wnB5yWvKcAcTzYUaFBQUFCArKwsWi6VVPRlBEIRtBgUdnUV6CskCri8ALY4ZivaiWpPUSZ6MOsFgEAD0ekrNWhKJhHZqUwMV0lNofXa73XC5XDrdEWjWVXj9Rx7FzNd1m82mnftUlB5ocWg4HA6d8klyhuZE0Di32439998ff/31F/Lz8/H999/rlHkeYUzykhvZqPEAnZsMXqQDUmMbahJTVlaWoi8JgrDlEUNYGoyeZe4V4J0d6f3GxkZEIhEASGkTTMYwMnZx5YQWdR4tBrQYyXhBSrP3CJ7aaAYvpEzz4yG6vP6K8bjkaefFjHNycnStmmg0Cr/fr+uGGYsVG1M+6bgkSOjaSKBYLBYUFxfD6/UiGo2ivLwcDQ0NElIsCMI2CzfUAC1rMnekOBwOANCGMJI7FBFG0bpUg5GOw+uCKaVSOiZyj7wx/YMb0Ej+cOMYl0XGjlsOh0M7OHjKDMkXng7KO4iRU4kaAlAZArvdjmAwiLq6OtTX16cYzrjTikc4kDLFCyAD0HKGiudnZGQgPz8fGRkZCIVCWlkUBEHYluCRUbzkCu9uSJ0gm5qadFfjeDyuo4ypOD45awgyBJExKx6Pa5lE0cI8mph0ErNOjDw13whfz6m5DNUL48fi5yC5QCmN9Dc5b3JycrSeU1tbi+rqajQ0NKSUD+BlXwCkOIR4LU3u8KHC/BQJHY/HtUFRGoMJQvdADGFpMKb58QWWd7Ii41JmZmZKygkZmyiPnYxiPGqLKxSUvkgFJXkEAJ+D0QjGBYnZdroWbggDWro9AqkFhs2OnUwmtaHKbrfropUulwsVFRVa0FBEAq9xxsOduQAiuOeeIhZycnKQlZWlPT3xeFyHKwuCIGyL8JQVACkNTnhBeZ46yQvT89pcFGHGI5B5Fy9SYEhp4enr3GBF/yf5wZ0YRrnIi/pTZIAxZZHLJzPjG0UPUy0Yr9eru2pWV1drJa2+vr5VuQK6Vu40IYcTT93nThi6r5QmSQqcRCELgrAtwtdfWscp+8P4LB4Oh1N0GpJFJEOM6y/pPVarNaWQPZ2P/iU9h85FMoI7XYwOF9qfivFbrVY4HA69f1NTU8ox+XUSvOkMOWCcTid8Pp82Vq1du1brXoFAQF8jN3zR9fL0TaNRj8tKinzLzc3V91G6FgtC90AMYSYYH/q515zy4mk7eas5vA5XOBzWBh2qrcUfwIFUDwzQUgTf6/Vq5YKEB3ldaJ6kcJCyYDSg8cKUpFgYu4BxYcS9RDw3n6K26D5kZWUhOzsbTqcTZWVlWL16NZYvX45AIKCvlxvDyCgYj8dhs9l0+gwJs1gsBrfbrT07DocDw4YNg9frRVlZGb777jsdBSAIgrAtQEYoWre5s0IphYaGBh2NCzQXMObrKsmaeDyOQCAAv9+v0124o4MUCSpQT+soKS2kCNA8KNqMHvZJhtCa7XK5tMPGWAQZAFwul5ZfpCABSLk+7pwh+UTyh+aRkdHcAdntdmOvvfZCTU0NKioqsHz5cvj9ftTW1uoC0EBLh2K6LqDF2ULnoZQXUqLo/by8PHi9Xi3jpYC+IAjbCpYMCzweD5xOp35RdKzf79frO699THoHd/6HQiHU1dXpNHU6BqWcUzQUySZyjlPzF3Kik0yjTBkyXlGUFqU38k6RPE0SaNadcnNz4XQ6dWkaMqYRRmeNx+NJSXMk+ZudnQ2Px4ODDjoIVVVVKCsrw08//YT6+nrU19cjGAymNAAjHY/XO+MkEgnYbDZ4vV7Y7XZkZGTA7XajqKgIWVlZWLduXUomkCAIWwYxhLUBGadIqeB1uKheGEWCOZ1OANCeCTJY8YLBxjpeAFIe0LmBylh40Ri9ZRb1xSEPBi8kDKTWJuPF+o1pLtwYyJsB0DWTcHK5XCgqKtJKDLUirqqqSvEi8WgHbqTjhZJpbCwWg9PpRFNTE9xuN0pKSlBfX4+KigrU19dLmqQgCNsMtA5TeiOXCfTAnUwmU4r+0jpKsoXSUMhLb3y4pod07p0nmcENasboYP5KB63j3JFDBj5uhOIdIrl8Mab+84L+kUhEH8PlcunuwgBQXV0Nt9uNsrKylC6VPKqOjGJc8TFGynFjmNVqRV5enp4LlTsQBEHY2iGDFP1NEcH0TE0dgUkWcDlDcoK67PIawgBS9Aigxelh7HLPy6QYo8F4Cj2t07xusbGsCwA9X24sIz2FnCpkiLJYLNpwR0a6WCymgxsyMjK0A8fj8SAjIwPV1dUoKyvDmjVrEIlEUpqo8Ws3ykuehkqdkrkjKTc3Fw0NDa3qXgqCsHkRQ5gJtOhyrzjQ+kGe/ua1wmh/UkbImMVTBgG0UjB4TRMSALQfKRh8LMcoNLjwoDBifk2kmNB2GsO9JnRcep/G0YLtcDi0MSwnJ0cLD5/PBwCIRCIIBoP6/nEDIjfs8bplPMXH6XQiHo/r4vx9+/bVKT+SJikIwrYAX6eBlgheIDUlkbzgXEGh/WnNJO8ylxlASzMVo6wxUzZIKTGmLXJZxZ01fH86p7EODZ2f5k5GOW4AA6CdLlxZohQZHjVHHn2KbqaCzVSnkt8fo5zg0dK8ozG/Vp/Pp+dKqamCIAhbNQopBi2uE/AmV5FIxNT5TnKGSr3Qus9TKo2Ofa5rUCq/UQfgEVxGBw2v/8iNYbQfj1jmegrVD6NsGsqcAVpK0tB1knGPxlO0XE5OjtZvHA6HljO81jOX23Qd9K+xLAwZ5OiVnZ2dck0iZwRhyyCGMBO45yJd3S3yZlMKIPcIGHPaaWEkJQVAK2UAaB0hRZBXg6dI0r48dJk/tPP5Up5+IpHQnhyKWuOCg6eV0PtU8JGMglxg8jbKyWQSWVlZuoaY1WpFZWUl1q1bl3KPSDjQnCgKjuqM0SscDuuX2+1Gv3794HQ6UVhYiO+//14XhRYEQdhaoXQSvvZS+mIsFtPygbzYJJe44YbgRizuEKHUe2PtLzNZA0CnYvL6jTw9ktcu40XoaV2n7fQieUL/kiygAvn0cjqdKQWVAaS0nedRzDabDQUFBfB4PACAiooKrFmzRjtfuEOJy2YgVdniNW349VOaDAApoC8IwlYPRdgC0IYZihwmXYd3j+dOF16vC4Cuu0jRUbQm83IrtC+t+/Q+rb/GiGEuY0jORKPRlHPTGF5ni8qucHlGzhiSUeQoCofD8Hg8cLlcKcejqDdu4GpqaoLL5UJJSQny8/NhsViwdu1arFixAoFAIOUcXL8xBhIASHHy0zV7vV4UFBTo8i+8iY0gCJsPMYSZwOud0ELJjVVGoxgtyDzNgxZg3pGLFw/mGI1mRq8/0CJAuEeb3qc5UDgwvw4SFDxdkxvAuJAi4cijv+ge0HnpmKSYcaFJwony9hOJBEKhUEr3FT43XqeGlDi6Jn6NpBza7Xb06NEDvXv3RnV1Nfx+vxjDBEHYaqGHZ16vhDs3jGnsxnWeOyIouom2c6870CJnjB522sYNRVx2Gb39JB/oHECLDOSt6qlYMnes8OLKPFKa5BSXkTyCmnv86R6Q0uHz+RCLxRAMBrXcovPQPSb5wo1ePC3S2EWZZH52drZ+X4xhgiBszRjT0HmqJGGMUiYnPK3LVOPXGPlk1GtoH57tQjKER3IZI3KNpVOMuhDXNUh28Iwbki1kVOJGKtJ/uF5GY8g4x+fLo9dycnIQjUYRCAQAQDt6+Hx5uiQ3tNF2Ol5GRgbC4bCukZyTk4NAIIBwOCxpkoKwmRFDmAk8ZJjXMQFSi8/T/ym1kJQD8pYASPGwUI0XHkZrVDRocTZ68GlxNp7bOGeuPJAw4y2PecomV1xoP6fTmaKYkHJirK1Cgstms6UY2ihaISsrC42NjQiFQkgkErBYLCldM41hwGQ4JGWFXw8Z0Xr06IGcnBz069cPSilEo9FWdW0EQRC2Fiiqlh7CqasVVwC40YqnopA8oGPY7XZdz9JM1pAM4TKJpyAaU1V42qAxlZ/Ph66D5AnvZMllDffcJ5NJLWt4ij5dC4fkjNVq1ftzb7zH40E8Hkdubi6i0ahOeTGTh7xmGJdlXLbxe+bz+fQxuNIjCIKwNaHQUreRavrSWso7uQNI0WWoJjCtg5RmSA5xcmRzGUFOHdqf5AGv/0XjeKABT/83rt8EyS2eks91Bvo/X/d5aZZEIpFSM4xkGu9CSZFsPIrZ6/UiLy9PNwOjEi3GCGQeWMBLHfBtFPDg9XrhdDqRnZ2tt0uapCBsXsQQZgJXQigthed+Gz0ZtA/QHAJrt9u1MuJyubQxh3spOCQ06Ji0oPP2u6QgUMQVV4L4MYz5/twYFolEUuqWUdqKsS0yzYN3l3E4HCkNAqjtsNvt1gu43W5HLBbTRZuBltSTYDCojWJGoWFMm6Rz8LQVUpKoeL7NZkNWVhZ++uknnY4jCIKwNcHTKYy1uWgdJhkEtMgmcjgopXRUmMfj0fKB1nz+QE21UowpKUCzw4aUI6DFsMWjwugYND9KheTjKQWFigqTMYxkAney8JQXijpwOBx6/iQDSc6Q0uV0OpGZmamNXjzVP5FIIBgMIjMzE+FwOMVoxmWLse4mfRYAdNFlMphRpzWqnyMee0EQtjbIKEMdGbl+ww1kfH3nRiVapz0ej46qAtBKzgCpUcWkK5DBjUcu0/M/14H4fGk8Ny6RzCC5QroVNZvh/29qakI4HAYAXVfS6/VqeUKlYmw2G9xuNzwejy5BQKn6pNOQ7kbyJBAI6NphPNOG6zV0X3hZAe6ACYVCiMVicLvdyMrKgtPpxPr167XhUBCETY8YwtqBFlQAKV5kwlh/BEiNbqKuLHxh5sWEAaR0E+EKCk9LNMKVJrM5c48KPyf3fJPRjStEXDDx66eFnAQTKVS8yCV1RiGljQyCFAKslEIkEmnl9TALgeZzAKCFHgAEAgHY7XYUFxejuroatbW1aGhoaP/DFARB6EYY0zCMKZJ8PeSyhztgSBbY7XZ4PB691pOBiHvE+drNI754QXqzc3EFhebDI8poTTdGGfOoMdqP5k3KFEVf03t03WQcoyLGNG8exUYymZSlSCSivflAS20WHkHA68AY7zF/3xjl7fP5tPFRlBRBELY2yAFOayYZwoy1JoEWpweP4KJ12ev16rqNsVhM6w1cV+I6EN+Xl4Ix6h9mNS/pbx4hli5ajM+X5s+NaHROkrXk8CdjHUW7kXwEoMuyZGRkwOFwICMjQ9cuo3lQJDaXuXRtPFiBzg+kpuPHYjHt9PH5fCnRZoIgbFrEEGYCT08EUrtk0eJpTBPkOe481YQWVL5gcuMUHZMe8rmBidds4QKCzmn2nlFQcCOYUXBwYxopOsYGAeT9tlgscDgc2mvEDXd0j4BmoeFyueByueD1euFwOBAKhVIaCxg9KzRPo9JHSg8XaslkErW1tSgoKEBeXh7q6+u1d0bSVgRB2NrghhsAKWsyj5bldSSNxhueWknjSUGhelkkl8iwxNdxXs/FbH7G97mc4cXwuTfe6HihtERuxKO0+YyMjLSyhqLEKD2HlxrgkWR0DJ5eY+bk4SmQ/J6bpaPQfc/MzERWVpY+Dk+9EQRB6O5Y0NJsJZFI6M7vtPYDSHFK0Lps/L9RXlAXSarPSI5zMrIZHRrcIWF0uPDUSXoPQCs9husyvK4YrdXkUCGZQ3CZo5TS8sXhcGhDGEUk0zVS0XyPx6N1mlgspiOUKRINaAmMIFnGZQrdQ7puoyykY+fk5OjzSukXQdj0iCHMBKOBhww1BC1o5OEgb4Gxswo3VpFSYzRWAS1pjfTgz9MheaSUsU4YN3jxYwFIeVDngoMrVdxYxyPAyFgHQAsGqvtC3h0SaHQeUrhofm63G263Gzk5ObDZbKisrITFYkFlZSXC4bA+Jk+V4QKS/jUWfVZKaaNXOBzGoEGD4PV64fP58Ouvv0qKpCAIWw08qpbWU2PKPa37lKJO8sZY14sbfXgqhsPh0DKAR36Rp5uidfnaaTQY8Qgvozzizh2ebs8bsdAcuZOHr/vcWcTlnt1u19fD5R1dLykxXq8XOTk5sNvtqK6u1vIrGo3q9Jb2otUIrgwC0OOdTidycnLgdruxfv166fIlCMJWgyWjxaHBn9cpPRCANg5RSRSjfAJSdRmebg9AyxoecWy327VeQ8/7RkMX12l4lDEvGcNLoHAZYZRJlJ3Ca2HGYjF9vXQt3NBEMpDXQuYBDXRMr9eL/Px8uN1uVFRU6GsIh8NwOp06TZJKARh1OGNdMl7GJhwOo7GxEVlZWbBarfB4PCgrK9PGRUEQNg1iCDOBjDnGdBDj4gVACwCukHDDDYenkgCpHSh5dBhXDIxCg9cQo/3IQ80NcFwBMXpTgNZRZtyAxsN6uZGL5+aTUYyunysoALRRkFrRJxIJFBYWIhqNptwrYxoKN6wRJBx5pAQdJxKJwOl0oqSkBFVVVQgEArpFtCAIQneG1jSeCknrH0XEcq+80aFBMgJAykM+Vyi4R5kUDP6e8XgE1WmkaF1eqJ7Pn9ZspZR++Oe1J43Xy1NW6Lz8urmRjL+4vCKlgisrFktzk5ZEIqE7fHGDFldqyCjGjX08AptjTGWx2+3wer2SIikIwlaDBRZdqoU/qxud/DyilrYlEomUDpFcv6EoYB6ZRZFXRn2H1kySE2R84vWMaR/eqIv0Djo3H5Mug4RkKu8q6XA49FyM5+R1Ibnc4gY2+r/X60UsFkNhYSEikUjKNVCaJM0zGo2aZhBxeU3yMB6PIxqN6mACSpOkepeCIHQ9YggzgUdKEWaGLZ4ySWP4omasB8bTVLh3gBZ5UjYolBhINUzRnLixiLenpzlwQxPBPe10jfR/o1GMromHTJMiQvnxxhBpHuHG/6YClclkEtFoFMFgUB+PtpPw5Z4grqiRUZL2oTTLZDKJ6upq5Obmonfv3qipqUFZWZkYwgRB2Crg6Sb8PaAlLY8bh8hzTfKAKyrca8yL5fNIYv5/2ofWcB6dC0B3aSQ5wdMe+Tx5rS2SRXw+RplEL+7Np0YvRkMY73TMnU5cfvIGNllZWUgmk4hEIlpBMUZek8yk+bWlpBCk4JDzJzs7G01NTVqeCYIgdGcsluaUc3KSEMbMEf7iRiTSi7jxXymlU/C50Yo73kmOUDOWWCymX7T20zHp+Z8b14wGI26oo/2MziRuCOPd6imFnjuWSBbE43FdnsZ4b7jMAgC3243Gxkb07NkTgUAAALRux6PY6DqNkdEkr/h10T0LBoO6oH9ubi6A5lqX0qRFEDYNYggzgT9cm8EXXN6pkS++tJBT8V56IOfGKLNi93QM7pXgCzBXWOLxOILBoDYg8Q5f9OIRW9wDzr393MNDeetUPJJ7W+gaEokEYrGYPj6vb2YUQlSMku6pUgrV1dWwWCyoq6vTChMpeFarVXe3JCWJe6dIoFC9mEAgoJWUoUOH6rDi9evXS5qkIAjdGr7+Gx0SlMpID9V8Dab/U50SWpd58xJu7OEpGfSiAvMUfUzjgBbnA8maWCyGYDCo12B+Hm5oA1LT63nNFO4QovmRjCAFjRwwJCtI1tAY3uXMWF+G/uVNZ2pra7Fu3TqtEJGjia6bd1LmBjGedso/DzKi2e125Obmwm63i6wRBKHbo9DiQOFrfjKZhMvlMl37KT2SHAi0HtNaTPKIZ5GQI4NDxiie4UKOEB6NxeUMpWnySGmLxZKS8kjHpe3cccMdPiQ3fD6fPhddF8knLhdJFpNRzChrKOqMAhYqKytToqVJRtN9CgQCOj2fIue4Q4cfn/S6eDwOn88HALq8jFmUtSAIG4cYwkwgJaMtuEcaaCkezBc0ILXGGLf60zbjwzZPa+Fw4xYZhaitL++iRYoFCQtabLkRjlJYjAWazc5lXHR5CouxCD/3CHGvCE+HKSws1FFtTqcTkUhE58aTMY/mwEOKjR4VbhwkweXz+eD1elFSUgK/3y81XARB6NZw4xd/eAdaZAetodwJwr34PK2RHyNdGj43XvEUFZ7+wT37XNaQosENYbT+8qguY5F+khXG5ip0Ti5ruFGL78+VBy6fjQ4lkpHUrbipqQlOpxPRaDSldgvN+/+x92bLbWVJlrZjIGaAFBVT5WBdVm3WF/0G/f4P0Pd9kVX9Z0WEQgqKJGaQBPFfqL+N7ziPIhWRmVWV0l5mNFIkcCZE+Nrua7nvw+FQduky33ysGBYRhc9Ho1FMJpPKNRUVFf+lQTz9WI5CYSe3TGY3rwtOuLNyu7zzBgpWvM5izMPDQxmjQiFsv9832hazuG/OdIsjLZeIKXaU2dyQO2acH7lLxnxo7ski0OvXr6PT6ZR5lJvNJjabTZlL5vlj2+22wWmet8Z5Is4znpkHOplMYjQaFYdZRUXF3w61ENYCCklunchBkcBmJxVBHlgdyX3yEefEB7jVxe8nyGa7MkMZ8wwvtuHFoeXdxyAk79DF4Pu29hUXnICdWlb1cYbhDqMQdjweS7tnt9uNxWIRi8Ui3rx5E8vlMm5ubmK1WhVlvtfrleJYbpf0tfC8t9ttHI/HWC6XMR6P47//9/8eP/30U3GcVVRUVPxXBEUd4hoFmoimuGKeYMHe5lgmXsIlHNdc4uM5MXFBjsX6YDAo7uPdblfaFbn2brdbVG9ivttbSG7AaDRqCDQcJ7cj5n+7jZJzuSjGa+1Q7nQ6cXl5GZPJJG5ubmKz2cRqtYr1el3U+eFwWO6LVh1/Fh8rhnm7+6urq1itVnF3d/drP/6KioqK/xB0O91GbGfdH9EcfWJuIOeIOHfK9Pv9Rltj28xJc5M3ReHYuU0f8R+xAh6j86TX68V4PC4iOsUo8iv4iWN7+L6vO3MKx/BzMWe6fdHObHiGDQAmk0lMp9N4+/ZtyWlub2+L8NLv92O5XBbeyQ5iX6vFJHIa5oXhcKuusIqKvx1qIawFqBRWna0Wu2/eO0Xu9/vihHLrZERzRldOUiLixaK+bW4X7SXe4YXzo66woKfY5YH2T09Psdvtiuri3TGzuy0iGtZn25m9Iwy/s2LvopedDNzPeDyOV69exXfffRe73S5ubm7KoPv379/HZrOJ/X4fw+EwlstlaV9pU+xJ1p6fn+Pm5iYWi0XM5/P4n//zf8b3338ff/rTn4raX1FRUfFfCY+Pj0X1jWhuBc+iF8GBghOxz3HYDmViNseyEOPXOpnwtvZW8El4cKYRfxFgcPZyHZ5tud1uy/BfX6uLb577lTen4Xrd6mhVnmTEPMnvuU92+Vqv17HdbuP9+/dxe3tbVPvtdtvgms1m05gxmV0FBkLZdDotXHd3d1eTlIqKiv9yOMWpDMvPX94IZTgclgKT4yn5AFzhYfcI9Hnsi53CnU7nRash63qcXORUFNhwVZFzXVxclF0uyaPW63XsdrtYr9fR7/fLDpU59+B3nnXma/Q4HJ6Li1+5qMaOxf1+P66uruLbb7+NP/zhD7HZbOLt27fx9u3buL+/j7u7u7i8vIzNZhPD4bCIMtwDyI7tiGgM27+6uir8ykiYioqKvx61ENYCCkhtM1vsDnO/d277cGIT0dyJss2abEWb96A25F1dOF62+0ImHrzPPBMIwT30TnyyI8wk57k0qPEXFxfFAZBtvW2OMs5tZYj+f9QPSJrZN7xuMBjEcrks12QnnbdEdsI1Go1isVjE9fV1mW1Qi2EVFRX/lYCzKM9CsfBAvPPGKZ7BRbHGhSQ7vPIMEs7jVnpmxjiWZ77LLq6ID3zELlfMnYRrvJELvMff22aLmW+dbAwGg8I1TrA4ZxZkcjtLv9+PyWTSGLJsxzJtNPxssYt79DrAyQu8f3FxEePxOLbbbeHYioqKiv8qcOs8a/o8IziiGYddoPJ77V5yzG4T9x2rB4NBo5WSY7tDhTyg2+02hCDaz4njvkbPGo44u9n4mbyK4hbXy9doNCoCvse5mB/tFOPa+c5xJ5NJdLvneZQ+18XFRclXBoNB3N7elvfaHZd/5v4xNYzH4/IsajGsouKvRy2EtWC73TYUDO/UyELew+wpBkEEVpFzX7uLQ5lgWLRzPAdOF8A8N4aB9ofDoRTOnp+fY7PZFJeaB1vm2WA+tpGTExeoJpNJSU7comKFiWNTVHt8fCzzwLh+3jsej+P6+rpYn4fDYWy32xiNRjGbzWKz2cTxeCwOA7eZ8t1Jy/F4jO+++y5evXoV3W63KP21TbKiouK/EnCrwjXwCjENPqCQ78V7HgqcN0shvgLHZhRyK94suO3YciHMCQquY9pXIs5JDOcniXHSBH86SXLLI+6BwWAQw+EwZrNZ4RmKhW2JCvdnwQfXGucZDoexWCyKCHNxcVFmhyGc8HmsVqvG+82RThThWxKU6XRaeK6ioqLivwpoITTPRHwQY+wUizgXe8gpBoNBWT87N0AUt4iTxXt4BgcvxTXHVrdmDofDcr0u9rBDb6/XK+2GvV6vMYQeIdyjVHi/Z3VxDwgti8WicCGOOAtGWWRClML5jHsOg8B0Oi1ub3KayWQSw+Ew5vN53N3dxfF4LM4wmw7Ml86fKPQtFoviWq7zwioq/nrUQlgLKNZEfJhpMhqNIuI8m4WCGGRCAM5DjCOi4ZzKfeqeARPR3K3Sll0rLrlANRqNip3YSrR/3u12xSXF71yY8/mBVQoIh0LYbDYr9mU73nhGDw8PpSgIKbETCkUtjmvCmUwmMZlM4urqKrbbbdzc3MR2u43dbhcXFxfx7t27uL+/j/V63dqq6jYgSOf169fxz//8z/H27dv44Ycf/ub/rVRUVFT8VsA1nc558DouWWIZPMDgXRbXxDu3pNOmmItEGSQxbuEnxkc0N4zhNePxOJ6enkp7CkWtw+FQ+M6uXCvlua3QIhGLfc4LZ45Go5hOpyXZ8n054bLARBGMlsc28YP5mbSr7Ha7srnKbreLbrcb7969i9vb21itVg1+dGKV2yV7vV7M5/OyLqCttKKiouI/G09PT3Fzc1M2lYo4C8cI53YJk1PAM8TS8Xgco9GorP1z8clCAbzGz+YUhB6KbWAymZR2SVojI6LMcjydTrHZbOLi4iKm02nhDnNEdqzx+zxWwDlNNitY7LA4FBGlbRORPc+Hfn5+Li6zq6urWC6Xsd1u4+eff46rq6v46quvotfrxQ8//FDyHIs75jaPJoCnLy8vi3u5drtUVPx1qIWwFhD0sbZmRQBkJ5JbS/IuhxAExS5bjP06F8qsRvA3b/lLMgNRQFzuMUe1iGi2EeZFve2+tuM6QYIkIQ+uw842il7sPuPCoLdJ5hlZxUENwq1wOBzK9S4Wi5Jw2WngQiL3R0JDS8xXX30VT09PcX9/X3ZtqaioqPjPBlxDXETpdtx0uwTFJztxzTtOAoiz8Ef+Mo94HiZ/yzNVzDXD4bC0q9gJnd3AEU1RJYsv5g0cZk5UKIp5FhjH4/6cwAGOa3dCW7sL92puzFxjzvLxzbM8Z4Sph4eHovRXVFRU/GeDuORZxs5TLCx7ljF5CPF9v98Xnul2uyU2OuZbsG/jFoo9xHb/HcEeId1dMvCMd4e0e7ltszEbF5wf2WFM4Y/rdn5B8c1CDM/Tm3nxDDk3x8ZhdnFxEbvdrhggrq6uYr1elzZKvz+3THJNPIfJZBKdznnXZ89xrqio+HWohbAWEGg9zJAhhQRwvzbi3GKY2z0IcqgeBHaCo5MDF8k4F184AbDysvBHEdjv90WBdmCFpFjUQxxuWYGIUEzAfr8v1zUejxsJB/fAOUhkPGslIhoFxJzw8FqeH88ZZ4Mt1IvFIk6nU0nAUPzdJmnyWK1WcXFxEfP5PP7whz/EcDiMh4eH+Ld/+7cyj6CioqLiPxMWKSKixLisTkechQOKMxHn1hV4gIHCEef5VbSc5/bJvKGJRR8GAeM+s8uJlnv+zbb1HqxPW4hbO6yq2wUWEcVFbOe0d+cajUbR6ZznXlK4oiUm4ry5iwtUTiYs+jDPhWPTcv/8/Bzz+bzMEXt8fCyuMZIeF/GyK4Jj41qoM1wqKir+K+D5+bm0bD8/P78oBAFyA/II1vvEUHZp9/of0Tm3rptzAAUncg8cv1wHXEahB56BA3a7XeEO2tojoox9gfPgt4eHh5Lb4N7Cbcw54UOOdTgcysZi5GiTyaQxQ8wc4yKczQb9fj+m02lcXFzEcDiM1WpVhv1fX1+X50iBMhfE4HybJvr9fsxms3Kt8G+dS1lR8dtQC2EfAYEtbxUf0dyK3iq1W1kMlBjP2fLC2WSUkx/OnRVvrgNbbLfbjfl8XgL8arV6ESBzcsDvfC1cvxVzila5JYdroKDmZ5YTnW63G+PxuEFwvl+Slf1+X67RrTgeOoklmZ3ASE5QaEhCeNbT6TRevXoV/+N//I/Y7XZxd3cXq9Xqb/BfSUVFRcVfB8+ezEUp77hlrmnbhp3kxTts8RURDXEic41VbqvsbtOHGy4uLuLVq1cxmUxisVjE3d1d2YnYrZp2S0ecd6f0DpAuesED8Jm55nA4lCTJhcE2riH5sKOYe/D9eMYarTGj0ajhEHh6eip8Aafa+UbiZeccidirV69iu92W2TYVFRUV/2k4RSkKsab3/C5iV8S5uMOcxCxiMLuL+Ieg0CasOJfBQcYuyJyHmHxxcVGE6m63G1dXVzGbzeLq6qq0rzOfMiIaI2m8wZZzJkwHNiAQ+xl9A3fiSIYH4VI2teGcHPfy8rLRxpldwog1PC9aUsfjcXE5c/6bm5vStYIoY55howGeHznf4XCI7XbbaOOvqKj4dNRC2C/g19hNIQUPofTfKBi5YJMJgu8ueOX3REQjYfB8rLyzFoUwb2tsy68Jw9Zjk5ITJA9xzhZorjUPULZCTnLDsbLrAUKxwo8TzU6y6XRa7suFPiszJE84x1B0Xr16FcfjsSj8FRUVFf9ZyC2CnhvZ5ibidyys3XKfX0eczi3x5hgnNz6vi0wkAG4R9AYsFOZGo1FjXpgdVJzfbS4R0SiEcU1+H7G8DXCincE8U8YGtM304hm4rR43AIkL55/NZmVMAiJNRLSq7275pMXn+fm5FAgrKioq/jNBbLd4HBEvClYRZ4EGsNZ3PuNjUpzBRZbduTmvyTzjVksXqhBP+LfbzhHGEeqd01jch8cQgyLOPAOPcC1uwyefs5nBghQFsWxSMPy82V3YxcjT6VScYtm84PWAc1EbBswzdV5YRcWvRy2EtcDOqbbf+29+jSv12R5LYYnf2z3Goj0iSjGLBXlElMISQZ5kwi0wEVGsu8xVIci6rQP1xEMxvYD30GLvOobakXcYa9s10q0yj4+PRfFgJgCFN7eq+Lnw3HKLDufebDbldZ7nZmJjl8perxfv3r0rys/vf//7GAwGsV6vY71e19aVioqK/3Q4DtkRnAs8AK7JSYfjJO9H1WdGCgtz7/BIfMYFgCCB2u9dxWjf5G/eqGW1WhWOoVUyO9t8L3BK5hqSn4uLi3LtJB5OIlDre71e7Pf7RvGLjQMsHPF8eTZOUHh+FpTYEYxnznwdnmlOJuFa2m8QcZbLZW1dqaio+E+FhQnHYrtcXXyxCOCcAefsbDYr8ZGCP0UhNqzyYH1em0e42FUGf+Q8hWuLiFitVo0ZwxgB3O7vYp/zCe51u9022jF5Pa2MCDQRH/Ki9XpdCm/kawjzOMgsUHGf/h0C0mg0arSmeuA+z4UvF+u4v+VyWZ7bdDotcy7h34qKik9HLYS1gIU7wWowGMRkMmkERgIbLSoml9zaaMUBQvD8sYjznC0Hf7sEcJvZ4su1OjHgmBSfOCaLcA8OtgqECkHSYbXf56ftw9Zjjr/b7UrwbiMiKyMUv0wYdptROCTws3vYZDKJ7XbbKJzlgdNcK/d3d3fXGL48Go3iX/7lX+Jf//VfY7vdtu4sVlFRUfH3hkUN75aYnVMRzZ2APQDfQBF2O7m3lycOIxqw4HeRi/icEwer6cR0YrMHGHONXEtuS7RoQSJDMhIRRfGnVQWugS/YFRLBhedhfrGrgOdgVd3c2Omc52RGREmERqNRY7jxw8NDDIfDhvuNgiGfhTmbe5vP56VgV7e7r6io+M+Ax6ewQ7GH0Ud8iIsIzbl10nGO2O52QGI2x7FI4OH8bWt9C/Quepm32E3y8fExhsNhPD8/lwIanEW+gFjBddp5HHEWNZi7DP/CNZyfnMYbn2BK4FraunlcTDRnk5edTqdYLBYxHA5jPB6XAhbCFc+SzhZEJfI/ng2b6/R6vTJzjPdXVFR8GmohrAVunyCoUkSxC8tzsryoblOeI6IxrD63wNhRZUtvbleh+MT53I/P4pt/8742lYTrI3CTNGRLc5v92cmJj2kVg+vJScxfUsWzBdg2Z4hwNpuVYA9JmKQhC9R9K08Mjr68vIz5fF7cYxUVFRX/0WibXUW8y4Unq+luN+TvxGIWz4glxHafz04o71TsQphnX2XHWuaaiCgCjd1nWfgwp3hXYl+T56DwWvOeN7PxzBtex/Nw0tX23Llft9NYYDkejzEejwvX0NKSW34iojxHjkkxjL8xD4dnUlFRUfEfCa+lEV0sNme3WF6H853CFUUbXE5uKc8ChIUZF4hyV4rfR7yPOG9GwnqdWOtNtSiMtc3AbCvm2VUccTZAmEMQO3xO801ElDE3WZTKpohOp9PgdLp+jsdjzGazMpyfIf60mXJv5mRzzMPDQ/ksaZOsLZIVFZ+OWghrAYHLCQTk4eSCgotncEEEBFO3OLoIlNtUSB7cgug+/JwkRUQriUREI9jyb1wG7oW3euHin1tZQFshjBYSFvcUplApID+SFSs/bnPJSYmfiZ8nz/7q6qqxbbHngEEO7Ag2mUzihx9+KOrQfr+P6XQaX331Vfz+97+P0WhUB+dXVFT8pyALDhHxohCGw4nXm5eImU5EIs7iCy2H/huth7S3eEaXhQSSpLYEyQkKPNXpnHcXHgwGxYkGp3G9diV7UH5ueTTXcB7+ttvtCt9wrd1ut8E1Ppa5jJ89/4Xfw3/j8TgiIi4vLwtnPj09xW63K9eC2OL74B4peuH2I7nhedRiWEVFxX8oOs38xG6oiHNspuDkuElbXkRz86/Hx8e4vLwsuzRSNCLH2G63MR6PC8/YeWujATzlNkhirsUWrpHZYfP5vHABnSJtX3CEhSeu/3A4xGw2a3S74LaiOPXw8FA6hDAZUNiiJZTCXjZScM3Os7in6XQa3W43vv7668IJjBggL+E8OMpoNXUnDgaBq6urhvhfi2EVFX8ZtRDWAveQEyiZOZKDkFUQJxsERBbHOYnISjfnxXabC2FZqbArwG4yzy0hELuNxu62rMwMh8OGCg+stHix79kt2Wnm4ziQu1jl5M7KiRMJ7s1JEBZoPg8TEkkWzi+uhS9aUzqdTlxdXUWn04nNZhM///xzdYZVVFT8h4I46RYMCklsj26uyfxB4kJMdPsEzikvwDke4kWeNxnxoXgGl5EoEbOz6ILoEXF2HMA3xHxzDefMTtw29d8xn3Z3JxW+BuI7CVkWg8w18G3mzYjm5i+IL+PxuLErGO4vu6jtYHPSw8+MWvAOYhUVFRX/UXh+PsXt7W2s1+tYLpeluAPPRJy5AY6h4MUanAKaBQrW8m5PJP4+PT2VHdyZY8Xx7CSDK1xwO1/3c+EZi+LwQd7xMuJDbJ/NZi94Bj6h7XMwGBSDADvZ03nigla/3y/jY+AZizhwq2ee8Tt+5nlmkwEFLnY6ZnbZYDAos9DYDIDnkdcA5KjT6TRGo1HZZdMtnRUVFe2ohbBfgC2m7NKRW/2Ai0FWvHPrhXcDcSuGra4EeC/KnUhYweYafF6UHLfPYAV2kuJgSoHKSjrXz3W4aMe1eBZLfnZWTSCTrPxzrNw6w/1wHR6E7+eJksS1QcjMDSBByc6AXq8XV1dXMR6P4/Xr12Vwfh1oXFFR8R8Jx25zTeYHvrsY5mKMxQ8UeZAX3z4nMRVw3iz0+MuuXR8zCxYUxsxN8Ftu1Y84u7Wymo67ynzDteAaoODE+/MzbjsPf/MzcKHM7rzhcFj4i+fGfdI+yb37XPAuYhOFwco1FRUV/3E4i/VPT0+ljS4iXogDwMX9iLOLNiIaO8AjNFgs52/mNsPdIR4tw3U4T8jvzWI553V+5NlddhfbFJBb6flyrsH15A6h/Nw4jr/77xaRskPZ7aqYLeBJhBMcz/CMuZNnhPuOWcq5EFhRUfEStRDWAhdsWGgTVDqdTnEhuS0kIhoJgtVqjkmwdRtFng/Dsbx4dvsgr2sjCgYqcn6CsEkKxZyWDru2CPZOrrywz/ME9vv9C7cCcOtOthJDXBBobs20Rdi7SPI7q1NsZsB944J4fHyM9Xod9/f3jZ28OM9+v4+bm5uYTqfxz//8z7Fer6Pb7cb9/f3f4z+pioqKihewmp25BmcYsc4JhZMHD4w3j1BAos3P7Y+AY3gzFLfFmA84jx0ALL5zyyRc45YUu6C5HjumMteYv5gFiaPKTjEW+m6/5zx2W5MUOBnifdnVHPFyHMF4PC5uCHjG7Z+0yFgE4hnhJhuPx7FYLGK325WdvyoqKir+3uh2ujEajUrcXC6XhWcYnQIPRUSDbxCUIyJ2u12Ji+QatH+7JTAXmRAzfB4LOp3OedwK77OIPZlMCg/udruST8xms5KbEOe9o73FIe7f1xNxLgCy82IuqHEdwMPrXVjj2TKqxR05cL3zm5zb9XrnnThPpw87WG42m1iv14Vj3r9/X85vPD8/x3K5jOFwGPP5vFxDW5dPRUXFGbUQ1gJvFZ/VA7uRIs5BPisXVs9pz/PCnr5498dHRCMwZ1XbrYX0xeeFt1tTCMS0DGKvZfA8x/NwSc+sMbFEnNszIQwSEkhyv983FCK72Ehk6O33DJrsdAP8jvvLxS/vaAYZ8xxpMb2/v3/xGfF8d7td+by/+eabGA6HpUWpEkdFRcXfG7SBuAXDrYF2HzlOtqnkLkLlwfpsHEIbjMUUL9ZJjOA5BAXmkHBMt8rj8oJriP3Ed7Z39/3QQsO/ab90eyRJj1Vx2kd3u12juGUBiTYWt6+4XYdj2iVmQcjJSeYa89R4PG6cHxHFvJcd32798diFioqKir8nOt1OoygzHo/L3Cu7XbMD2E5jYpgLRxFRdgIej8cxHA5jMpl8OKdykuxy4ves2/f7fbx9+7bwB7Hc7mB4gfh/PB7j/v4+BoNBmbdlnvF5O51OiePkQvm+yDMQWDabzQvu5f4RQCjekZswy9i5GVzmZ+nrm0wmZR4Z+SF/Z9YxxoO7u7uG2QGeodj38PAQ6/W6XId3YK6oqHiJWghrATNS7CDKLSoR0QgsHyuceIHugkxEc1CyWy7b2gS9OEfN8AyYiCiqDtdPUc27OR4Oh0JGLkgRrF3so2+fe/D12kZMcuL5WyYzCM0EGnF2KDjhcfErB24XJZlnZosw98OwSApvfA65EEaxbLfblaRmOp2WrYwrKioq/p7Iw+hz8Qtkt3Eu4Fh0yW3gEdGIsYDY6wQlH88OLM/ZQtAggSL2mmtQ+E+nD/NgsuhDAsTrsgoPV5BQmMMQMSjWOXEzd1N0oujG5i450fPz93eKhyR6vN7XiAg0HA4bowOA1w5uDfVMziq8VFRU/D3R6XQbhSKPeHFrX1uXh3Mgd4vACbkLhRlevMcFrXxc8hREFAo+ERGTyaR0sFB0I+ZT4Nnv9yWHIc7DSxHREFycY3Esrh9+7XQ6JX+AZ3BKE/+Z5WnTAK9zHmXRiuu2U9nPazQaxXg8bowk4PrZvXi325V7c77kz4e8EPHLhoHKMxUVL1ELYS1gqK2LTAQXq98RZyUkF05cyAIcy4o9RSJUBScnOakh8LFL4na7LU4zEg5UDlorfW7UZ37Plrvj8biRAKGeu+UQ2A3GTi3MR6HIhpOM89p1hmV5NBqVnR0ZfM8zxelm0rBbDaWDa+d6ut1uTKfTmM/n5ZgPDw/x5s2bcrxMHhERd3d38c0338RsNot/+Zd/if/zf/5P3UmyoqLi747hcPhieHp2OVmxdjHfsdmiCQtw/422RheE3PZHocytKqfTh3llh8OhKOOo3vP5vIwIoIjFtaOUH4/HktRQKJpOp43rtXiRC3FwFgnPdruN3W4Xm82mcA2tLsBOg4eHh7i4uIjJZBLT6bRwDc4BXo+Y4+fC3+FG+ATe47MbjUZFqNput/H999+/2LHLYhq8QwsMIwY4ZkVFRcXfA93uOVYTX+mA+PD3bonZxETHLhe2OAbidsSHmL3dbsvQedxmuavGLjNiIrH97u6u7ARMyz2vtWGAa6B45jnE3tzF+Qc5llvegXOOx8fHwjO73S4Gg0GjXTEL9AzAZ+A9nDifzyOimTs6l3EhbTwelx0fZ7NZeR52cj8/P8dgMIjdbhfv3r1rdLnwnCxoUXy8vLwsz6rOC6uoeIlaCGsBARfScNHKbY7up8/JByDY5uDnFhgcTiYNKwYQlItu/tlqhd1aFKXcl08wzsoAxEARzIMk7UawS4CedRfCsqPNtma7ySCbrHyMRqOSFFGItCPOKj9JmRUUXAYXFxexWCzid7/7Xfzf//t/I6JpVfbn2u12Y71el8H5X3/9dfR6vbi7u/tb/6dVUVFR0QCFG7u9WNzi7LW7K3ONuSLHXY7tVka4JosuwHNZPIfr8fGxLK4pOFFI4hhwiJMr4nfEWRjxaIC2FnkX5B4fH2O/38dmsymqOPNP9vt9I1HjHjk2cd5cg8vA8yUpRprPI6IkOL4v3zPPYz6fx9dffx1XV1eFu1ygi4jGc+C9zG+rhbCKioq/N+gWyWth4ik8RBy06OL2/YhzDHP8dYGJHXcjzhxH7sOxPSOYmAl3kGvQTQIf+dycnwKQcyxitk0G/D7naXAAggujXCge2Y2Gq432fl8HrY3MI4NnhsNhnE6nIhBlVzeiPm5rHGCbzaZcc7/fj+vr6/jDH/4Q//7v/x53d3dlnpnbWu0M43iIP7y+oqLijFoIawEBytbhXMgh2BB8+G5YWfbxvFgnUPMVES+SnogzaXir+OwWy9ZXfvZWxm4NzDbpPCvM6k22EHMNVlJQTLICxPlysY6EgmcTcbZUcx1+jZWcnFzhouA6cY5dXl7G1dVV7Pf7sjNkbpNEze92u3F9fR2LxaIxTLSioqLi7wm31FlhN/fk15lzPlYAg2sscNAuwfssVOBCJinILfAozY+Pjw3lHZDkIMD8petyK4k5NuLsLiMRQXCBe3I7KdcTcd7djDiPqGJnAzs48juKYeY7J30kVnYX8zkwtPny8jL2+30sl8tGEvmxz3wwGJSEpXJNRUXF3w2naF3Tu+DEutv8wnrdG7u0OZs8asVteeaWiPNa/3A4FEGd4hIx3y2UzhsAwglmBfNjzrO8SYzzNe7dbZG4mXH1kjNxTRyTTh5zXERTROKc5Hlck3OmiCjPjvhvgSgiGsaGyWQSr169iqurqxczzLKj2t1Lw+GwOO9qi2RFRRO1ENaC3W4Xz8/PZSta5kxFNIfqekGfe+WzndhqSL/fj+l0WqzDDPVtWwwTtFl4QxwssvnugpGTnogoQzGx1/LltkRmuGR3gMG5t9ttw5HmOTK5FdRzYDxTwAUr3s8cgOl0WtT67JAw8UI2fA6eH7Ner0uy9vvf/z4iItbrdUlQ7DrgOiC3r7/+OmazWdzf38dms6nzwioqKv4uIG7S0u4Y7CISiQWxm8KORZlcWIIDJpNJcdrSNm7OimgW4CKizGp5eHgoMdLFp1xEwrUMV+bZjKjj7LwIN/EawDW4PYWEyS5ku+cizsmV20ntFog4t5w+PDyUllS4Bje2C2Y8dws7gIH9cOHp9GHm13fffRfPz8+xXq9LAuM2IK4DIPwcj8fCWRUVFRV/axyfj422QzujiHfkDnAL41cAcRAOsfOKnGYwGMTl5WVxYjE72MIF63cXnCySM4OLvAS+YbwKMds7FjOsn1ZCZiY7f8jzuehoWa/XJZeBY+hwIe9CBIqIxsxjdnD0rpAUu/r9fux2u5jNZjEej2MymTQ4jmfBmAGKkMPhMGazWQyHw1itVrFarcp5JpNJ/Lf/9t+i3++XHSXbHOIe6j+dTuPi4iIeHh5is9lUnqmoEGohrAWdTqcECoKqh/y2FbZcyEI9aFtA59dHRKNFz++LeDm8kuPblUUA9u9dOIo4W5MBaoGvw737vIZr8GBKSIFEwdeX21us1qBwOInJBUNmyhwOhxe9/nbQQRguZDGbrNfrlet8enqKyWQSl5eX8fr162J59vBIu8nu7u7K5/Xdd9/F999/H+v1+m/631dFRUVFRHNjESvpWXHPM03gGrtlMw/lVhVa9pwY+IvXWNzwoHwLG/zdm6SQSLkVM+IDj/B7X0tuwfFcMBIUb1NPAkaCBi/QPkrBLfMZfOjn2O12S6LDPfh4Lii2iTFc89PTU0mijsdjjMfjWCwWxYXsQiLXFHHmVItVvLYKLxUVFX9rnJ5PsV6vy3xe2uMpStnhZMAHdt6SDzlW2gVM/pSNAAgmzl+Ox2NpKcT56+N7d8aIKEU4t0dGRBHT8ywyO6Oc31g43+/35X69gQ27JZMjwIfj8bixS715hrwC7nh6eiqz05i/RjcN94Fji9fDycyrZvdmeHixWMR2u42vvvqq8HB2hsEluMA6nU5Mp9Oy3qg8U1HxAbUQ1oKLi4sSuAieLhhFRMN2y3tcCPPrnBD43wRXF6C8k2LES+tubk3kXLk4RjD1HDPvnmKVmqKSScOJCkSFymHlAZswCYwX+nYSOInzfUGSJBkkA7i5/HrIwS4zq+tOGv0c2M55sVjEzc1NQz3hGkhMIqIMdn716lXc3NyUrZorKioq/pZg+C3qcETT2RURpb3C8ZqY5R2p4CQSCBdtXOw3D2VBxkKKBQ5vHIMqz+8pKMGFXC/X4jYRXzfJF+cxj8A3dizANW4ltIuA5+nf51gPN5CsWUACbmnMrS8upvEZWdjB9Tafz+Pu7q5xHbklhfvguvNM0oqKioq/JZgFhkOXApELXcRqYnNe87vbxF0ZuKeen5+La5ciD+/NhSPHZgpF3tTLhTAfB86jKBdxzrXMj8AFPn6PuE9xyzkdsTp338BTPLuIl4IL920R3+2WgDgPT/Iczd0em2PuGI1GMZvN4urqKt6/f9/IJXOLZC640Y5feaai4gNqIawFf/jDH+Lp6Snu7+9LQJrNZg3FPavfDNLNASmiGSj5e7YbE6ix9NIDnxMRik8R51YV2liwyBLwIYiIeGFl5tjMfoE8uAeKTbxmtVo1ZpJBlCYjbMIUxJzw2L3GuXKigsss4lyg4l48NJnn4MIk73fy5wRpPB7Ht99+G6vVKpbLZdzf35eim50VDw8PcXd3F5PJJL777rv49ttv4+LiIn788ce/7X9kFRUVXzz+8Ic/xPPzc9ze3pZ4btew50lGRPnZXGPRwUmCuSa7jWlvxO3sOE2M5dwcj0U17lziMMWgfr9fRAQPKMYFQELg33G/xOrHx8dYLpcNV7M5y1xD4mR+fXh4KH/zTBsLNL4/7otnFxFFYYf/gN3H8AznMNcMh8O4vr6OzWYTy+Wy0dYCx5nXOM50Oo1erxe73e4/4L+8ioqKLwn9i36Jkd4l11/sgktL/WQyKWt3C9fEY0Ts4/EYm80mIppjT7rdbozH49IaCF8dj8cSh4nptERyLhy+noNMKyRxl9ZyF5FwUGXhiGPAF/f394U7aaP0rGJcXziUPyb+mANc/IqIwosWhfxa8iXzNs+OZ0trqDuLut1uTKfTktPc39/Hcrls5DQ2H7glFp5p29ClouJLRC2EteAPf/hDbLfbYinFQkvgyy16BC2Cn3vsbXf18GFbha1OU9jCDZVbJSPOA3ytEvA+VA6/3woJgZ8kiWQEciOJICnzoGIPl3eQ5bl410sX2oAVjdyOw+vyMGXOw71BnvwN4uaYWLT5DFBXUOqvrq7K8fjuZ2I79uPjY1xdXUWv14ubm5uGglVRUVHx1+L3v/99Y3coClcs7oll7FzowhMx1C3pxFwnFHlgsOdKIk64QOMFPedCmIk4c41Fmm63G7vdrpyHv3E8EiC4wu2JTjDYtautuBdxTq5wB0REg2NdZOL15hleT3z3gGdzmhMfC18f4xofx64wzmdnhT87z4iB95gVVpOUioqKvxUGg0HMZrMiBuz3+zKfGPGCGVbEadreceNGRKO90aNS7DCLaI5WcceI1/X8ndjJ7EbeQ9GJQk4WINg1nhyCPIX4zGvdOkhOY8Ehi+oRZ2cz/MFOyfCd3+vumIhmJw/v6/V6jeMdj8fY7Xbx8PDQGL9iVxu8Mx6PYzwel+fy+PgYw+EwptNpXF9fF55drVaFZ3Irf7fbjclkUhxm6/W6FsMqKqIWwlrxzTffxLt37+KHH34oycLhcIher1cUCAK3WyYimrtwdbvdF0Plab+zq8nJiQtatiG7iIQaQ/Al6Pr9LOBt13VwdGHOLgG30OAOaNs+2IkSv6f4ZoXeLT+GkxWeR8R5Vgz36QId9mLmh9F+k5USW6RdVBsOhzGfzwth5hYZt9lw7agn4/G4JGgVFRUVfwt8++238f79+wbXPD4+lkW12zXsRnbcjWi6g12gykA1tzLu9jy3utth6wQn4txqadEApwGDhF1YI7nJLZLmxd1uV2K8+c6utIhze46vJbeCAgszWXjhOXAOO8RIUOzC5tm7QGfnHi44uGkymTTaYhCZ7AzzcXjG4/H4hYhUUVFR8deAnW3Z4GO/37+IW8wNi4gGR9gFRuwn5rvI5CKXxQ+KWhFRNm+JOO9Cj8EAEwA5C9ziWZX8mx18Pf/LDmgA/3BMYrtFjoizwaCNewaDQZnjGNFs83TRjevgOG5BpLDmnI88hHyPYhWgIBkRxR1HXnY8Hsv8Y9zaFC7J7czB7t5BTKo8U1FRC2GtGI/H8bvf/S7+/Oc/x3a7jcPh0BhUiBLhxT6FI4IgSvdutysL7hwo3R5pZ5iTBttqgWeOZcdYLgJlVxWFJv9sh9toNCoB9f7+viziASSB8o0LDDLBpdXv94sa4udEwuLg62QMsiJwu9jFbifL5bKoGrw/4jwfxnDSMhgM4vr6uiR7tPIw1Jjz4qi4u7srFuk//vGP8ec//znu7+9/+39YFRUVFcJ0Oo3f//738cMPP8R6vY7D4RCr1arRPu8CEzHd7fckB+xw65bFiPOcEOB4i8Bh55gTARecPKDYRSG3y3CsvBCHA10oGg6HRe2/u7srCYqdBAzap4Uz3wPc5fZ7JzduU4k4F8bsvrZTjWeMK2u5XJZrfnp6Kkmcn5MdZXaDX11dlaJgp9Mp4wvczooQtd/vy+7Nl5eXL+bJVFRUVPw16Pf78d1338Xt7W3c39/H+/fvSyGGYhHFMdb0tJ5HnOO6d7fN41b8erf37Xa72O12xY2W1+p5HibvdW5BvoF7luuxYENOg1jiAhY5DeK+TQTMEiYGc7/mh/l8XoptzFqz+9m5HfcS8bLjxbOaaWc0zzB6IO9YjCOM/AS+giMR9He7XRn9wvOAb+7v7+Py8jJGo1FcXV013NQVFV8qaiGsBR6QaMsrAZ3g8/z8XBxiJCgEZ5ITCk4ETasP7ie3G4lj00LJgj8r0hwjJyde0FupiDgXmgh8HJtthyEBu8h8jRFnVxhkBAHkohNFNpI2D2eGvKx4cFwX99xCwvu5PtpoXPAj6PM3Nj0wIBXIsN/vl4HVJrT9fh+r1SpGo1G8fv26kEud4VJRUfG3gAs/nsmF6ut2C0AsdJsHsYvXuvWEOM1xiW9uC6dYkznDajIx1q2Afq3fGxEveKPb/TCkuY1rPKPM3BMRDb7NbY8kS7QtOkHztZhHfD25ldLPzIKThSwr+vAQu49R5PJxRqNRcVWcTqdGwRK3BKMXeD1usso1FRUVfws4p5hMJkWsX6/XJTZPJpPGrozj8bisqRGMvU52zLcI4A4Sx3bW5eYPCygR59jt7hvifHZfRZwNBR5Uz73AN/v9PjqdTrx//76RY5lnLMJHvJwJybXgoONazXcuCtoBzfF4PhyX52bnNCN5yOW4NkbDYAjIfM8AffgeQY37YI4bHD6ZTIpRoxbCKr5k1EJYC3IhzIGNtjz/LeKcxLgQxqIeeCHtQphnddlFRVshLY4EYS/q+SI4mzjca254Dlm/3y8qCAMZORev5TskwfPw72wTdoJCAuX35tdy/Px8XAhzixAqE9ZiOwxs3YZ0c5CHKO0e4B58vyg1x+Mxvvvuu5hOp0XZqqioqPhrYa6xgk7i4fldHv7O790y0rZwp0jEAtx8lBMU3gsPWFyBRzzLJc8ey5xkccft6cyjQSQxv8JNTiT4PYt+t71wTZyTgpgTJn7mvblF0/D78rwzPg/4xq0vFMPyZ0GCwmfoVhmSRbv6TqdTcSHXQlhFRcXfCm4h9wYprKEjorFux4mL08ut7MDFMFq6Hb/dYYFYQMwm70Dkj2gWh3DetuUzdoqRR5GbWXBh8zGuA07KpgPnNLkQ5uvy9ZiPyB3a8i1fa1u7KXmYPw8LTnA3I3rc2un8C8GF4iMz2eAV1hQUGefzeZnJttvtGvdbUfEloRbCWsCilJ+9/WxENALL8XgsyoXbBJnFYnsvhSwX0EhMCIJZ4SfoY3+NiBLs/ZVnZnlwJedmx5WIKAtulAGCoAt4LrBZtQdWNzJBEeTdvpgVEivnnM9Ewz1xX6jtFLcI9hDGZDIp5+b+KWjxepLJ6XRanuV2u42Is8OOhMaFSQbtDwaDuLm5qaRRUVHxV8Pbt8M1notI0kGxZDQalXgPzC9uKbcDl2NERGlfIUFp29bd7YiO63AYOxsjQBBv7WryDE0KYOPxuJzHjunT6VR4DTHGire5FB6BS/KsSJIDjmeBg+eQnQWen0Kbyel0KvN0SEI4D/eRnd55pqif036/L9cA79hBhjuQpLLb7cbNzc3f4j+zioqKLxyn51NjB0RinUX+0+nDa3DrMsvL8X84HDbcWxyHn4m1zHyklRBHU8SHuPnw8BDj8bg4t5wTcbzpdFrW98R5C+kUy+CF6XQaw+EwZrNZ4RX4DY6Di5xvuZMkO6FdnCMfobXzeDwWTsawQLGL63QuZp7B9RsRDfMEo1/IVyiw+V5dFIs4z127u7sr18ZoHhxktOFvNpuS08IzvCa7zysqvgTUQlgL3ApiZZsFuJVgDzbOKjQLcxbwLIoJbgQ4HFgUvnw+AjF/e3h4KGTjlkICmNs+XFAajUYxnU4bwxpdJLM6wt94rZ0DTh5s3bUK4tknzJ6xis9rIBIrOyRnEVEUeEiI+2Cgp91zOLUgSydpXIvBc/F1eHaOVSOcYYvFImazWcxms2IprqioqPhrQALhQeoURDzDxG2STgYizvGe2O1dCCPO8ZYiT1btfVzO5ySBayHuAicKLPLZzYodySyMuM2R+EnBiIQlizy55ZL7taDixAwOtauZ+zUPwB/wqluCKPa5EEjRjoSOa3LLDPcEp3Ad3PNkMinPtG2GC8kY3DWbzUriWlFRUfGb0TnHTWKmuy4izoJDmyvKcS7iPGIEI4Bfe3Fx0Sj8E9tcaLFgYLOB3Vo+ZhYt4Bm4zu375Fh2qNESynWQe9gBbM6MaM75Mpw7cN0eN2CeQeCCC+ykhmc8a43nS1eL74n8Bw72+cgxj8djjMfjIuh7YzDnO7vdrhTQKG7WQljFl4haCGsBQdO96S6C8UWQsoMq4tzjTpDky4UwAtjz83NZQLsYxnUAijks2nObiAs5Vryt4E+n05hMJo3rc/AjYbCqTzIECTnw59aSbIcmecg9/pzHSYDvk/uj+GU1xFZqOyn2+33D2eX7hjSyJdlbGaPG+N5MNhTCJpNJLBaLRotLRUVFxW8BxSWr3U5CiKN25LpoRawm5tu1hRLtxbL5x26zNq5xIcxtH1yH1WqLJ3DNfD4v92Vxx+ckERmNRuUYef4MiUpORnxMO46zS8tFP3OWZ9nQHtTv98ucnFwI47UUwuAiu5ctuvD67BQgKSJBgTP5YnAzu7xVrqmoqPhr0YkP8R+hmVjlHCciXuQEFlu63W5jdhcxEocX7yGWlnOnnCa3+x0Oh5ILuVXcsd1FO/PMbDYreYK5zHE+IkohDO5zrkMcJ8cx3FbJtbj4ZScyOYkNEXSuwJl+NjxDFwFx4+HW9vqAec58LrmV0k43xHq6afxsaLufTCblWVogq6j4klALYS3AgeSg6Z5sK8EUbjqdTum5RsXNC1gPgHSPPov90WhUdjHc7/dxe3vbWOBDXAybpFUGkOhERGmD7Ha7pQA2Ho+LSu/zY4mOOBcBUTwOh0MpOnENbmF0u6RbCa3cuCCY+/rtQDNxMeyRQA8BkhyglqAmscMXnxGEPZ/Po9/vl9dAuJ1OJ2azWblm7M583pAxSUpElMH8f/zjH8tQy4qKiorfCmIim3eQGBCXXQjytvEsYGezWaP1mzgKx7DQNtewsMZ5BNew2Le4sd1uG0JORJQNQ0gY2O690+mUVhfms1AsIonwgtwFPLe1E+8jzk43doaEG7IrGy7OqnvEeTZOdnpbRNput6U9CEcAz5dEzQLOZrMp12OuwXE3Ho/LM6LVh8+U5w+fe6c1zkF76mKxiO12W2eFVVRU/FWgyEIMZU1s11Gv14vtdlv4hZh2dXVVCjOHw6FwAbHs4uKisashm39QYNnv97Hb7eLHH39srLFZ+y+XyyJ8k7s8Pj7GarUqfMcg+F6vF4vFIubzeWmdhCMQkjxaJiIacx29S3zEuYAFZ8K/5Cfkf9wrLf4WaMxH8AKdK56LvNvtyvOBhxBf4Hfym6enpzI4P+IDH02n0zidTjEajeJwOMR0Oo3ValXO+/r167i8vIzFYlGEpsPhEBFnAcdcjGtvsViUz6XuVlzxpaEWwlqATZTtcl0YseuJAMXincINCgnKO6BIBAEQiCmCEWBJPjwU0ep3mzuMY9mJRdumdyFh0Y6aYaeBA7p3G3GhykPr+/1+IbxMbL5HCmVu5+HvvN5kAbJqBNGR4GSHnoM7Sj4FQ+BWIytMzHzxjjiQC9fC53J5eVmSvZqgVFRU/FawwQcLV7enE9eJ3REfYt52uy1JB0q4WxfdMkjxK+I8WB5FHX7gmFaEs9MK/gO+HgSJx8fHWK/XERENhdvih53QXB/Kvx1uHJsEBycDCVJuEXUiwu/9LPx88tBlt4zgLoZrUOftEHYLI9dJkpSFHbfF8Bym02njeLj2MgfzOY3H48Z8nYqKiopfi26vG5eXl8UpvNlsys6RfLG+PxwOsV6vYzabxfPzc4mDiOQeIeIWdwv3uFopPg2Hw1iv12V2mPMZr8fhIOIjYgPFql6vF6vVqrx3Pp83ZozxHovYeXaXXczuHmHgPMfIfGy3chb37a7Lzym3oCK68FmQr8CZ5kd4j+Ni0OB1k8mk8APP/uLiIubzeSkKRpy52s8B7sbZh5BTUfEloRbCWkAha7FYlAWve6xzUH14eIj1el2U9/l8HhHnhXxEs+2Q5CQXwgjkBNjtdttIiLz4p1ATEYVIsBajAlhtgfBs/TURuSjmLZJdQCMY2xrNsZyAoM5zDrf3OPFwEQwC8XONOCdzqBpus7QLAJKiaGZHWm4rMUlyDX7+PCd2UuG1WJD/6Z/+KWazWSH1ioqKit8CWjIohNmBDPc49rMTLu0RIM+jdIICh+CW8gYmLOS9G25bMcwtf7i5ODbxttfrxf39fUly4DhisZV6+AqXrp285htvlmLHsItIuaXH12wBJ+K8y1kWY7gvEhS4wztEU4CDI/0ZkvhxXZyHGWRwf7fbjdls1miD7XY/DCt28sdnx+5nFOgqKioqfgt63V5cX18XzomIEps2m01EnGN/p9OJ9XpdCk7lGCmmEwtxvboF3TvZU2Rar9eFjxxP3WliPiEmktOQd9ze3sZ2uy2vjYhGrkWLIryXDQVcv93OuJg9fsAifs4z+H3bXGiOm2O/udCOb7vH7Cpzi6jzLm94w/ssuNA5QxcPa4XNZvOiTb/b7ZYxBoPBoO4gWfHFoRbCWkBAo6JOYN/tdi+q6g62q9WqsTtHxFkZd3KC8kKQZaFPQF0sFjEajUpi4vZFF5g8TNm93xTaPPdkMBjEYrEoO7Wg1pjQSEpQbLxLlufO+J68xbEDrt1kng8GaUVEo6DFz7lQ5/unLdVtM1iULy4uSrEMouW6UEz4DPhcXETjc3j9+nVRrrrdbtze3pZZLhz/7u4uJpNJfPXVV3UHyYqKit8Mii1XV1eN+ATXEA+zIEDRJRfD/J6IaCQcEWfRhdhPu8XxeIz7+/uGgxcey65bYi3cNxwOS7vkcrmMyWQSh8MhHh4eYjKZNHYFY2HuuY6MAjDXwDPmBo5hccPObBe5rPqbg/yM/LyzAu8kwTM1abHJBUqeJYkPu6W5rZUCJ+o7ruLVahWdTqdwDYkl14VD/f3795VrKioqfhM63U4sFouGEOAh7YgRjHWJiFitVo0YGXEu/CPGkx8hoHNcZi2S0ywWi1K4shhCvPWcXuYBs+5/fn6O9Xodj4+PsdlsivCAILHZbOLu7q4Ui8iv4Ex4hh0x3d5oA0JEFDcwBaqIaHAqHOQOF74jMnm2JE5h8jfyNsarmOcoZHHvfk6cezAYxNXVVex2u/Lc+XzoImLzl9lsVrqNcJKt1+vCMd6Y7OLiIqbTaaNYVlHxJaAWwlpg2y6LZ4ImikVuKeR9/NvDDXPAxP4K3KrnWSi27ra1ybS1sJAgbDabBqF4aP3Dw0NMp9PGbiS+DveK2+rMPWRbMXBhDmRLcNt3qyocIxf9SFIoAPq4JCkQDshWaFun/T477fr9D1s293q9MuOl3+/HZrMp17Ber8vraDHyeSsqKio+BcRrVFx2wnLsZo4Lr2XBSyHKM1L4O7HOPGNFOyIavOJ2D8dRu7CIl/k46/W6Md8F/qPNgmKc53aR+DAXhUU/XEvLiMUSwL/N0f5b2xd/g7N8THNNdr8ZPC8LNCjydiWQCLolhXOab3BQdLvdkny68GkXOWp95ZqKiorfAuIKsW80GpXYZJ7x5ibb7baI5MPh8IWjOOIcc/Pam1nBxDmL45zTcymJd9kJxt/u7u4K141Go3h6eorpdBrL5TIeHh5iNps1CmnOk7h3CmtPT0/FAZbdWuYo5yM55wDOjQyOyWvhQX52XuP3+3nZqOBnwTWQj9oJxnXDncyaxOXH+xHV+Hx5LTzHdVVUfO6ohbAWUNBi0dnr9YqLirlQJCY4wOjRRv2dzWaFOGxDtiMKoIq4uIY9FvUhq/Ig/95JCiSHEsDgehRmJ1AEf4pgbrc8Ho8lOOakg+BLcc9FvL+EbE92UQ4izYSRCSkr/m55jIhGomLyijgnLZ7bxvP2dsLMekO5Wq1WcX19XYgU90BFRUXFr4FnQ6EER5xb4uCa7XZbYjNOqsPhEPv9PhaLRRFegIUUJyA5ruYZXSQ5Lg5luJjDJiU4ouwSi4jSzodC7et0CwiOKQpmXEduPSGWm2uyMMT7ciHMPPAxrmkrhJljKDbi/HIh0xziIhvP1dzo11J45F74jOEVXNcUGSvXVFRU/Fo8H59bc5rpdBrT6bS4ehmIT2vkZrOJ9Xodr169Ku7eNrHbIn3EBw7ycHbynIhoFNMsqjif4Ys4+/PPPxeX1uXlZURE6dZgwD6FPGZ+UcgCCC8WLmhLbCtyYUwgf/pLeY1zD/IvOIPfkVflXA5+ciHSjmI/V3hsMBjEcrks/D0cDqPT6ZTnQn4GB/F7jsPaY7/fl3yGfKcWwiq+FNRCWAuw0/LFYpSFPJX93W4X6/W6JCTr9brs9GGHElZiB8ncMskxnRAQJD0fJSJeLPb5XZtS7KTjdDoVZQDyoYhH8CdQeigk6n6+B9t8+R0WaxfnsuLBdVP8ws6c78f97RwzOwQ4t+eVtTnleBbMbfFzzbPGeN3V1VU8Pz+XFpa7u7vSNkrC9urVqwbBV1RUVHwqciHo+fk5ptNpWRDjliIpIUnhZ3iCXbyI0xRcKPhkN7I5B+GHxbKTmbywjzir2XmYMfG5rbXdzjCO41mULk59zM3mYhjX4RYOeCLDCYVbNM2pdmHZicx9+xl4notdYlbx4Uzu04P0LXZxP1dXV3E6ncpubXd3d7Hdbguv9Pv94nioXFNRUfFr8Xz64CQmhsxms+Lk7XQ6pe1ws9kUYf/HH3+M7XZbhJjJZBKn06kR27IgbncVxSna3xnobkGEmAjsinWBjPPAF/Dlq1evCicgxJC7uS2dYlZuRXx6eir86SITx7TYAfKMSvMGbju34Zsf4SxzFXmg73M0GjVifTY78BpE+/1+X9zkfkbc93g8jlevXsXxeCxCG/krO4F2u92YTqclb6vu44ovAbUQ1gLssgR5L5I7nU6Z8ZEr51YfWPSjiLftomXl2AUfD6mHpNoW+DkxAS6KOeAyU8v95gRgwMKeY0NuDuo+D++1I4v7yYUpJxMuhDlR4z12gGULNsf0z/zdx3exz9eJM87tmHYncCyUpclkUp5xv98v7r3n5+eYzWZl8VBJo6Ki4teARaxbJoi/xGtzjVXviGjMWTHXZEdTFl6ye9dDfvNmMBwj4uwUMw84znvWpJ22To74jgBBMuEZYU5EiMlwIV8cxwq7i1H53DxHO8j47vfzTHJyAkho8nPx52j3GPcWcR66n+e+uK0UQcyFvtPpVMQ4zxetqKio+BR0u73icGrLaRD6WS9vt9tSwCdGI/hTcIk4xz7H2MwzXn9HNGf0RkTDNUVMN89Y0Lbw3Ot92EWRnXjdhkjst8PKA/w979jc0cYxHJPvcDH/9vEzf2EqIBdrcx5nbvbz4vk6F7XQhUMPQ0O3243JZBIRUXIV5zN0sXBtfNZ2czNPreY0FV8CaiGsBZeXl8XlhYJBDzWzoSAPbwUMAbhAttvtGgUXgCWXtkdmpOS5IjiyrAw4OBMkXSizgyriHLgJilwrxycZIfAT2O0Iyy2UJibuz60nHpzp5M73gBoFUeXiV05wPmZLto3Y6hTnJEG0kgW5Q4TsFOYEI89R4DNjgOjT01NcX1/HarWK+/v7qtRXVFT8KlxeXpYEAycXi+zj8VgWtJPJpHBRxHlgMYPrGYJLjKU1kcUybfqn06nRhu/Xk/R4Yxa3W9pJZngHLRfCWFg71lMU8sIf5EH5ueURnsqDhdvcx7wPPrCr2Y6DNq7hnswX+RnkgdOsEZzceSfi3J6CAwNOu7i4KFwTEYU72U3ydDqVQcbMh6uoqKj4VNBeTayzI3U+n8d4PI5ut1t2Q9/v98VxdDweY7lcxuPjY9zd3ZX8h7+R90wmkxgOh6W44phILIWbvLOj3WGsrV0ogrcimjv4nk6nuLq6KlwGLz4+Ppa8hSISx4c/MDQ4J7AjzM4xcgRyNJ6dhRPO7105uU/fg80CgDyQ68jdQBbw4WjuZzKZlOIhLad+nuQ/5HI4zjEARETpZqLNlLy1zYBRUfG5oRbCWvD69evYbrfx5s2bEqh3u10JgCzYIYOnp6fY7XZlNxOrGHaFobrwfnr0OYZbElmsU4zzLlU41gAB3KTDdWe7rocQO2DbeUbQ9zBFjud2Ee4TEnAhigH9XL+JjaBucrLSkRURXhNxLvxZcXGhjGeL1dkuLnZGsY2be+F8kJ1bVrmO169fx+XlZZmlEBHx7bffxnK5LAM7KyoqKj4V33zzTex2u/jxxx8bLXMICcTriChJDDNbPOeKBTpt+SQpdhuxSPdOVFbEzTVcS97sJReOLFwQgy8uLsqOYVwjhTbHXnZlRHTy8V0gM684QeG62PI+cw0ckVt2OL7dVhTV2sYNWHjiGilq2dUdEY3Zbd6xObvQKIR57qUTtK+++ipGo1FpSYqImM/nsdlsyn1WVFRUfCouJGp0u93YbDbR633YFApRnjgEV5DT0C5HXrDdbiMiYrFYlDiPE4lZU7iC4TGKPbRakk8dj8dShIs4txsytsW5hzmHdnEEB3eZdDqdsumKC06ISeRIPAvOa57JDuTFYlE4FgeV2/p5ZuQgedYynOMCW8TZvWZO4z49s9iiVKfTKaN5cMW5UGbXmM0cHkFwcXERr169itFoVIboPz09xdXVVXGEMRe5ouJzRi2EtYBKOG4vtz8SWO08Go/HMZvNyq4rEc2hjxSpWPizGCdIsghHnbBTK/ele2HuxXnbAp7jE1AdpK28k7zQf5/bEzmOCaOtTZJrs5uMre5tASYY87tcZLMtmff4705ystMOuBXHA0K5Nn9G+dll4rKiRZLy888/x+FwiOl0GrPZLKbTadzd3VXSqKio+GTANSw8KVLBBV6w06Z9eXnZKGYB4pWHzhM7PfORIg5xP8dFHL2OsxHN+WK8J7uOI6IUf2i14bsLc3Z14STLbmC3uvh8bhXhnkiMzAV2j+UxAjw335t5wBxo8SeiOevSYwMQdFD+eV2+dnOTz2EHG8OfLy8vy3b2o9GoFDizm66ioqLil/D8/Bzr9brsUHs4HEoOAMcgjozH41gsFq3FnJzTWFR+enqKw+HQENiHw2Gj+4W4x/vNVRHnHMG5EnD3DNfJOZw/2YVMgcyuXZsHIqJRIPI9+prgF/jMfMfvMw9Y5IiIBuf63sy1ju1tOZGNBrkTxwJJPp6LiByTIuJsNitmCzZEQMDJwlRFxeeGWghrAar7crmMzWZT2jxcxSfpsMsKtWC9XjeKOwTM7Xb7QhlmeHBOHPKsrojzcOE2ldozSbhGVHKUAFuBISeCHeRBAoKiwfOAOD1wkvd4uDAB1wTE3AEnAE5McjuiX8O9kOBZheG5kRTlghrPhOPnmTUEfgd5js+5/PfBYBDj8Th+//vfx8PDQ9zf38dsNovLy8u4urqKH374oRJGRUXFJ4P2eXMNnGDXLwNuWdwz2Hi1WjVmG7LYR8mPaM4ROx6PJSmBD7xI73Q6jSHDwDE74uwgJqZTzKMgNR6PizNgPB6XlhkW8QgzcA/8YpcU7S3wms9v8YeiHs4zEgS3lZAM+J6ccEWcHQGO/S4guoXfyRl/899pL81c42IbnyscCNfA1bSo/PTTT7HdbmM2m8VsNovdblcLYRUVFb8KT08fdl5kXU9Xw2KxKDFtv9/HbDYrQvnDw0NsNpuycQfvJTZut9viVjoej8WxSm7ErpQ4kt3uiNkgoimk8++IKPxklxXD/BlTQ+EGNxriEjzjjg/PXoQXD4dDcXP5/HkEwHg8jogoowacg1jgj4iGkyrPV6Zg5sIU8d9FMpzhEWcnsnMeioERZ+HfrZcuknkGsnMants333wTb9++jYeHh5jP57HdbmO328Xd3d2L51BR8bmhFsJaAAlQ2Foulw1bK3ZSt0jOZrMyP+rdu3exXq/j4eGhkAdBbbvdNlxZ/X4/VqtVSXKYE8JCPrdwoGJ49ouVZxePXKgiYXDLDIkQ7ZkEVa6bhbgHJ6J0u5WD6+X6TCJZEbHS4UJbRDSSFhQdK/wcmy2eIUbPO7PS4sSCdkk/O8iEe4OIcVS4D5/jjkaj+Oabb2K/3xdbOS6x8Xhc1LaKioqKvwS45vn5OTabTdzc3JSCTb/fj9evXzd21Y2IstsXXLNarUrLCir74XCI3W7XcP7SQkHcH4/HDTXbDmViOcII6jELci/uHX8jPvAQRTCSJIphzCjxrmOHwyF+/vnnsvhmZzMW7sTqtoH/dqUBrikiXvCni4xwt9snI6JRmDLXeLSBi2MGBb7JZNIY6Ozky238vCY7onlu/+2//bc4nU7x888/l89zPp+XmXF1hktFRcWnoNP9wB/L5TJub2/j4eEhLi8vo9frxbfffltyD2IUcXq9Xsfbt2/L+A/yATjm/v6+MYOx3+/H5eVlo0USriCvQvAwXxGL5/N5RHxY79tlZYezxRRGzEScHWidTiem02kRSci/bm9vy7UzBgBxP+I8R5hz8iw8lyvinBOYK+EqXGt2DGeegVPhJAqIiDnOq+BwzkORjZlsXBfH55jmGfJAchOu38XKiIiff/453r17V2aFeZ5bRcXniloIawEBNlfuCaa0OLoAhTpBSyM2VdQLFtYEXqscEect1nFvUXSJOC/sP7bwJ6h5WL+LQbbV2gJM0LV1mXsnkFIoY1AmC2+7v0gguEe7vLKKny2/br+0ckOgzy2LVnJQ6yE+F9uczJiQXJizOtJWsONeXehj9gCqCQVGLNoQfEVFRcVfgud1EGPMM7Q6eM4VrQxun8clFHGOsxTGPJeE41P44ve4tXg/sTKi2Z4BN2Xh4WMtibmdxIW4fr9fEiEcb8RUnMwRzdZBYJ6BJ/KogNy66eKeecltobS18Driudv7cxLk89idbSHGHMLr7JD2s/YxSHaYg+a1ifm4oqKi4pdAy7XbBPPML4bf8/r5fN7Y5AQhnyIRrq79fl+K9+QRuITJEXAzGeQgdtkSM4l1/Mx15FlXzmvgGfIn77iMkwpuvb+/j263uZmW3U/mApxW7lbhexsvWdwH3JePDf+RU8J5OL99XXYY8zOjZyJedsDwGfIMs9vOHTuIZGzMxrXCMxUVnzNqIawFqNaz2SxWq1VJOFgY39/fl8BPeyFb+FJhn0wmsdls4vb2tizqsRfjSmKh63bE2WxWFrq0sWDbpeDiwf28j15vKxC8xg4xJ144wfgi+FKYwuGEEu0dq+xa4Bycz62LtgsDgjik4e3kIVG3VkK6ELftwoBzWZ1BBSHR8fBLVPo8nJ/z5z5/SInCF4Mz7YBD/aqoqKj4FDBjktZBEgja2m9ubhrxGQ4w1zDstt/vF5V7u92WJASRhVhNMsN8F4otedjvaDQqriO4BlexY7tdBP69nbhukfS54FWKYOxWRasoxyWme74MBUO3k7go9rEEhcQhz0DjvSQ+5hoXzkjq4K6cnJDAWWBxYYxjkHRQmPPfXAibz+elfZbEZTgcVq6pqKj4ZPS6vbi+vi4uLvhht9vFmzdvYjKZxGw2K/FnNBrFYrEoLdmz2azkNDheV6tVidP7/T6m02lDbMAQQE6T53lxTgwDuMeGw2G5FruiKByxRrfIDzfRHgk/Ms+LzV9wovV6vVitVg2zA4P94Q86Ruj0yMIVfB3xsuhFezwFNEwPXPvxeCw8jYOM87J5ANdGoSwiSl4TEY3CFzkNnynvn0wmsd1uG393pwydSNPptOxMDH8Ph8PyuVRUfK6ohbAWsPhl4c6ClMIXi/DNZlMCO73yBDgcTdPptMwtGY1GsdlsGoPzWSRn15H73yeTSVFxKFA5OEMwDs624XI9nMvtHQRvtwZSuIJIxuNxnE6nGI1Gsdvtyo4pJAIedBlxVjBMUpzDhSOTjy3IHt5pV5gdZ9yPidGOLxIUin9O0JxwUPDyhgjurffnwWv3+31Ry373u9/F27dv48cffyyEw9yDioqKil/CZrMpC3TPbKR4lLmGwhlcg4IND7F4HQwGsV6vGy3eEVEUeRbFcALFNYpUxNnJZFJ2PkZccCskRai8sQuJCddM7HWByqo3XIvQgpjEvE2SK94XcXYlUyCz682OYLuOPUMF7oLv8tBn3s+5eL3ngbnNxS2obq2xk8DzJ+0K47nS9mN+Rnj5wx/+EO/evYu3b9+WwmFFRUXFp+AUp1LwwFE8Go1iPp+Xgvxms2kIIXnWZMTZKXY6nWI2m8VyuSx5Aetw/s77EFgorE0mk8JBtGHSFk/7ul3H5pKIpks48wxx0yILvMfOy7RnIiyxO+/p9GFXS/jXx3t+fm44z9yl4llf8IznqZF/kK/BORbi4RPPKaZ4Zlcd3JqFfK4PYQqntZ8ln635mWIbLa3/63/9r/jzn/8c33//fetg/4qKzw21ENYCq7RuqUORj4hGmyNthAQrijssdt26iCrPMXKAdZLh+S7Yh51wZKWAc+XCFIvxiOYw+ojm7pYespgLZCRavM5tGS548eXfZ+cW5+HYVsrzc8zHcyuJW1hMRm5Z9ZwBjuFZLfzOrjB/FlnN4Znz2ZKUmogrKioqPgV5i3K7d/NiG7XaLe/EYuIR72cRbfcTr/fMEsc6+G00GpX4enFxUZRt1HrA+1mUR5x3W3RhCrS19BPPSYoYcmwnGEmL47XPb37h77lNtG1QcBvX5OObG+AaO455v1V23st5PGvSr4XbLOJ4JIALnbjF7+7uGi1BFRUVFZ+C5+dz/MRJRLwn9jL71k4jYqDjMLHRwoCLT25vdM5hniHmOSYTo9t4hvU1sZhrtsDtmA4sxtvpxTF9/+aZiHO7YW6N98/Eem980jYexQYAt1byfPi7x798+NyabaPmec7jNcD5835+UbyzyOXNAThfr9eLy8vLePfuXUPkyRxbUfE5oRbCWkBrCUkECQXKeUSUvnj+bpcSuyu6NSKDYMyCmkIKDjSr6LRD8D4cax6ImC24vN493249dMA2EUXEi8DHcd0eSCEM9cbuKX52kpOTHQpSbl2MaO7k5WuARPl8nCQxa8ZkRRJmOzPJw+n0YeB+Tl4Ayd1oNCoFUZPwbrcrO4nSP+8hlxUVFRWfgu12WwblUtyKOMcT4vZmsykJjOM+cchx3EpxxNnNRHyk/Z65hrkYRusjcZ72D67PM7a4TpxLTgCYPZKTAwsndolZeGJIb8R5t2RiLa9x60jmCrefcP8WO3wNLjo56eL+PPex1+uVVlPfD2sAJ348ezu3/HuOTysM/MI1cN1+n597LYRVVFR8Kp7/X7t9RBQeYVD68XiM9Xpd5mbRTsiam3zIDtuIc2xmLU8rYa/Xi6urq7IrobsqIs4xMwvju92uCNdu6e/3P2y40ul0yhwzroeCjlsrPTsMnrAo4tyL+ZhwjEe7cBx4oC0ngeMwRph/+NnX4u/8HRcZPNnr9Upuw/UigkVEg6Nx422324aglnPC0WhUdgTl3uE9nNLkl3ZD10JYxeeOWghrAQMgvRUwi9LNZhPX19fR6XTKMOPn5+ey8yC2VFf9HYAjmrtSPj8/l1bDw+FQgnK32433798XxwD2XluDj8djLJfLUpCKOPePE5AdzKye828HYydFVq5zQLWi5ODthMdWX64LsoE4AL9z24yfm4tVnU6ntAzxHogyqyaeYWYXHc+a65tOp41kkev17BYnTd7p5k9/+lM8PDzEbrdrtDdRrKyoqKj4GIhFzAoh/jw8PMR6vS5cwxwRVHu/3yIMsJOZha4FgP1+X3YKPp1O8f79+7KQZ7etwWAQm82mtClSEDoej41WfeabOHZnp1YWSOx6Jta6pR4xIiLK5i20Z+YNU7hfO5pJJDiencwkd3ZDA7fN48gzF+DQNtfAvyRu3G9u0ez1Pgwk9u94LnbuWUTis318fIw///nPcX9/XxLUOiusoqLiU3GKU+EZcpHD4RA3Nzfx+9//Pvr9fhwOh9Ku7xEfrPMjosTPiCgOY0QbOOzm5qbMDPvnf/7nMqT/p59+KrOGOedgMCjr58ViEXd3dyW38I7JrNkt8jgfcjwl3rpdHREHHvDrGQPDbE4KZQhN7sZxF8/FxUVjjiRxHy5w/tBWDCSvMW+YZ3LHThaVXPDy7OlXr1418lLulX9z/xQdncf+7//9v2O1WpXPvxbCKj531EJYC1AGrBDwexIKVBO7kwgWWTE3KAKhAtjZFPFhZox/x0L4+vq6MX+ExX7EWfEn2GcbsBf3hm2vXHu2Frug5cKW78fk5IAd0b7jVwbv59huOzH4eyYNq+O+BpImD9d3GyW/85bLtig74TERWP1ar9eFWGwFr6ioqPhL8LwS1HUAV8A18AHxJuLcGhHR5Bo7noiRxC3UX3ZoZOFOjH79+nUZGOyWFhIA1Gk7gbNgkFtT2los2hxaEc2NT5wMeKZMxDn5yf/mWuyIy9zEueBtP0ffu13QVvc5LsdzMYxzuWAHj8A15iDu08VAYP4kifF/HySvFRUVFb+E0ynKDoXuWgG4rlz0wknrvCcXRRwr7cDd7XZxOp1itVrF6XSK4XBY1svPz8/x1VdflWKRxXiEAYQZZgATtz0CxWttc4/5JLciuijl9T1OLI7h2E28dhsjsbpNTKFYZU6z4JGv2Q5oO80yX3ItDw8PhRvNM7yeTXQQ7rke7+jpz9LCznq9LkVHX2NFxeeKWghrAU4vVHhaGwge2G9xJhGYCZpWA0hOPE/L7Rcu/jw9PcW7d+/K3Knj8VjIY7FYFDdUTjRQMVAw9vt9zOfzBnkQXCNeFsQI7BTfXDhzAgAcNPneplpAnPn5oLD4325NcZLiGQRucfT8G1Qlime5R5+2HRYBtjC3tZFyDXnYZU5AvVigEMa1VVRUVPwlsCvvfr+PzWYT6/U6IqIsjPf7fWlrMNfwHXeQB7hHRKNl3XGfBOjp6Sl++umnmE6nZTOUzWYTq9WqtMrYzesFM+oxHEa7hVsDT6dTTCaTBod4QW1XrtsiPZvRrYE50TDf2IHt52LO8c8o54ggHMtuL67Fu21GRGuCQnGRczCLhYTTbm0+V7u4KfJlfs5JlnnQz8puvIqKioo2nP6f42e9Xsft7W1ERHFcMRtsNpu9GPROUYvXuqXRDl5ADH18fIzlchl/+tOf4vLyMqbTaTw8PBSe+frrrwu3uVDV7/cLL3K8wWAQ19fXpask4py3MNSeThsP1cdBzTGI8ZzXORtc4ljqbh6EKApJzjGcd5DfYKJwPIdz+MrdOPCRd693Bw3dSuZ9clXupdfrlU0RLi4uigvc3MT1+DvP3pvR8Azsdquo+NxQM/YWOJBa3SUI3N3dlSCU2wBdcPLx3KYCXBSzm8suNBbMf/7zn8tWxZAQxRwr/m6dyUORuR+rCi6qWVFApSawQwLur/fOJNkR5iKZ+82BEzS/n+vgWLyX13rHS+6pbaYY6vx2u43D4VBmfqH8cN+8z58358ciDRllBwCqFPfg+6qkUVFR8ZfgWYZecBNjx+NxKfK7DXIwGJR4ZCXcrqk29dncBmdsNpvGv7///vsyGoCWlxzf7HxigZ2HI3tmDImWY6PdVU4u3IrCd6va5gfzivnCnNbr9crIgYh40TLpBIbCF88cjvF15qSAnTlJyuwwzoKM3XVwrAuI3IfvzRzv1+UEtKKiouJjIB4RP1kb0w5PYcbzogaDQXEVeV6W28vZ6dcFKloNI6LwhcWE4/EY33//ffl9jnnMSya23t3dNdbpdk0RjxFX3BHjdkY7yzxjzI7e7OCFm7kvt0bmNT6t755xRl4YcS4qerxAFs8p7jkfhCfcoQSPU9Ti/BabyDn9meeCG8/c4spoNCrXyzW5+FnzmorPDbUQ1gJmb3jgoSv+DHS0nRW48JTbQ0wkucXB7zUhEJhvb29LgLbS7nYUB3HIzAUn22hxRnGtOTnhnnNCYnU9F8WcUHC8XLCzO4DrcpHQzywr/sBE52KUi2dOmvw6JzYuAvK3XCQzEfqa/LPP5eSpoqKi4peAAmuXEfHm6ekptttt2S0yL0Dt1s1tIZ6byPGyCOPiPuc7nU6Fa47HY3EWswiOOC/WKSjRsudhviRGJDKo8i5IkTDYbdbGM05W3AYC75gzzT0c18VBCm65TTOfz7zK88pck6/L987zcCLEdXI8rxP4gq/4nltKXfysLSsVFRWfik73ZcwjZq7X6xfifnmfWsKzS5ichlhm9ypwW77X9O/evStrdvItYmC32y3zt+CS/X7fcA8TJz1agGIXa3D4lVhpbnFek3MH80F2f1kY4lk4j4qIstOkX8d7zVVwgvnAPGPO5l4tQjlnzCJNdlk7/8wiUs5ZsxDjr1oIq/jcUAthLZhMJqW1Y7VavUg0NptNCe4oJl6o2ubL7yANdiLs9XplyLCTDFfxPc9lt9vF3d1dvHv3Lr766qsYj8fFUhwRpT+fAE6Swu4vER8W6JvNpqHcsIB/eHgohJGdaSYDu7ZQYFxc4/coNyQrnM8toybNjy38nSA4ibDrIFuXfS22/6JweYimkygfPycaH0uasHB7sGQthFVUVHwKRqNRLBaLGA6HjcUqcWS1WhXeoAXEyM5WfodI8/j4GIPBoLhb7RIjWbEiTovm3d1d/Pzzz/Htt9/GZDIp7ZMRTeWZuOtYCXcsl8vyN4s/HoLsxb8TFF8rv6PNkOIa1wwH8x6uJbu6uPYsPPHc2hb6JGVwkB1qFp0y98Lfdsllh5g/P/BLRTBaYJh5WedRVlRUfCou+heNTbeIkePxOJbLZSNHcbzKrmOL2/1+PyaTSckziMvOacbjcckfGNb/8PAQ79+/jzdv3sTV1VX88Y9/LG36EU33MjGYvMkuqNPpFHd3d2XAv3MCO5DJOeAQx/DcveLdF9ms7HA4xGg0KvHdo27YCCDvmszfI85xnnvK8zzNMwhS8CBFr5yPZTe2x8N4gD+5oR3FzslYa7D2YESDn0MudFZUfE6ohbAW0H99dXUVu90ulstlYyAtAZTgOhwOS8DOTi8HqIgPbjNet9vtSvue30PQsioA8Tw8PJTroW0mOwlQ6QmqBGmOSaFou92Wa7E910GRIEmQ5/VWiHCa8Vy4hraFf/69lRAIoa3txapNDsa8FoLLCj3n4bVOujKpQOaQjs/Fcf1+CD67CIbDYbmeioqKijaw1fxisYjtdlt2ayIeejdiEhiKUo7DLHIRRxAjiD8kILRBRjTbPjw3BFfV09NT3N3dxeFwiMPhUPjDCRL3wFxMeAI+NNcQH3mtlWq3uZOIUUTjePzOAhEgcciiFPdkN1tuQfR7uQa729rO4924vNGA536aP5xA+ppwMTgpc9Jjzs1tO3Az8+NyK2xFRUWFcX19XZzGcEG32y35DRzD7EevYeEaumFo/+t0OmX0iHnGjmUwn88jopmjPDw8xLt372Kz2ZQWzdyV0ul0YrPZxH6/Ly2BiEPETHZvt7DR5pCGTz0jzHmBO2a2221jDW+HMs8O8cRO5dx94hjOcdwVA9yZYkMDz8vOZnI0j2nhmVmcgS/dnopLmsIl54afnT9lQaai4nNDLYS1gJZBAi3qdUSzNYECEskJwcNBib/bfQQYUpkDK24pWisIbF48R7zcpp5zWxUxvNOXZ3yR9FDU4z4o5EE8Vunb2kZy2wdoa+swPAzSyYmfsy3L/D7bjP06F9r47vNaBYqIxrEpqpkI/Ezz+XIB1GRWC2EVFRUfA+o5XOM2ydyqRywejUaNuGO12aJLLs4Twww4Bn7LBRfPkbQD2ce2Yk+cZfMQfk/Livluv9+XRAuuQbTh3u14s3vL7rTshgMucmVl2/eQhZdcgHKC4a82rskck8UbXw8843UDr8sza/zfgsEao/JMRUXFL+EUp8Izo9GoCBDEfOIoRabJZFI24fI8Lre4k6t0u92YTCYlhjseeRYWXSen06nRTcJcY+J3W76VYzlFG8+vwi1sYeVwODSEG/iQ9kViux3Kzjs4jotzmWcyb+YCYC60wbkW+BufVcptci5hTmzLQZybtLmseQZws1st2wwEH/t3RcXngFoIa8F6vW6orfP5vFhvCXaQxfX1ddnl0cUT0Ol0SjFtPp83gtt4PI7tdlsGIeZWCpIUghX94VYVCNruR8fB5cBrS+14PC6FO18n79vv9zEYDGIymTTaFmnl9PvarLW5Xz4PbYRIrMAThCOiQXaeOeaWHL82F8o8r8u973m4pmEy8nG4R1phvROYz8Ux/DwrKioqfgko5+YadoXynMfxeBxXV1cldrPABRRh4JrZbNYo2qDWX1xclJ2B3SJIDLa7124AxgBERGPXXXgqollEY76YFXZeDx8Nh8PSVjMejxucFxFFEefeiOW9Xq+0fub2QLd7ci+OxSRiTi7cXm+l3gXEiJe84KQmC0Pmq/w5OWlxguJiHSo+bURtDuc2rq2oqKhow/HpWHIXchpizPPzcwyHw7i6uorf/e53pVjGXC7jdPowNoachljb7/dLTkORh+MSn9zWyLnZNZm4vFgs4nQ6NX4/HA4bO+6SDz0+PsZsNovpdBqLxaJhEqBAx+B9XG6s57k3YroNDMTW8XhcjuEWfnIaz620OM9rPXqF+O2f3a6Y8x+eqa/PeYxbP92lwvOCv8nZnLfx3vV6XT4HHGfgY3lSRcXnhloIawEztAgi9MHTIhLxctitF8IUTSKisRhn5ywCPgGWVhDa8lhoM3cK2DXma7WSwd+9CLdSnwtjLNh9Lw7mdlQRfHkGJGk4zUiIeH1W6T0XzMjJgomDY+BMcLLQltC0tVCa7LiWNoeB243ssoP4SFo2m03DqeFimO8dMqwtKxUVFW1wOx9CxHQ6bXCNFXXH+IjmbEhiO6IFcazT6RSeYRakC21W2PkOn1mgYOC92znMO7gLuBdibnbXeuFv55ddAHDRfr9v8AeJlIt4hp9lBvfiwpU5hufgwcycN3NNdgObNxG0spuN67bTu42DzNNslmCXGs+de2WNgiOioqKiIuMU5zV2t9uN6XQavV4vNptNo2vFbegR53Z1i+l8J//wxlcIHKyXXXDabrcNTopobiQWEWUzMgQfYjRxlF0oI5ot/RYlnNNYHHGLpHdivL+/f+EAwzWXhaIszEScuSV34nDteWZxRBSXtN3NEWdHMsfyfGZzTM6xzNmMZ+H6KU6W/xaU351Op1iv1y9a7/lsXOCrqPgcUQthLXDrA0GB2V55yCBwawUgCXA1HnXEDi4XiPI28REvB7A7AGd1n7+3zUJxcccWWTumcgHI7jQXk7LqzTk/VuhqgxMwkhIHdB8vP3vbl3NSwjF9L1ZM/JwI8m07V1phcaLpYuXHPnsTpc9byaSiogJkJZdiT16UZ66JOMeYPPyXGM0cLjtbvbmL5x1mrmkrjhF/SWDa2ha9EQvX6uTAjueIZguHZ9DwexeU4CEv+PMC3U5g34Pvj+SE523l3tfk3Tp5n9tNzKm/pJy7EJa5xkWwNr7BDdbWPulzw9+ZlyrfVFRURETEKRp5xWg0iogo86Q8Fzivl70m9jB3Ckb8zfkSbl7aK7N7ljU/x+fcHvRu0YSf/T4Xc9yizr1Y3HdOQ3Esi/XmYedQ/M0x2+aHxmMWj2RRPAsmOKXhvLaiWc4tPnY9fqYuaHKdH+Oo0+nUOGf+3Nvyt7b1SEXFPypqIewjOBwOZZh9t9strq1ut9sYHIyt2EPwT6dTaZ9jED7HoAUk4hxM8m5hHqALvBC2QwBV5ng8xnA4LEPxPc+lrcCT2/7sNqDYs1qtykYAdlJ5a2CTkBMr4H+bGHz/Vsu94wzbJ+edUnhmWdE3iZsUfd9+hh7+7OvlOXB/EdGwYnsQJdeQFw5O1lgoRHxQuypxVFRURJznnLCrY6/Xi/l8XtRcXFg4cZ+fm60mtM49Pj6WQcEkJxwj4uV298Q/5rR44LuFGOI9zjNcSvAYu5A5pmc3sV1i8BaqPAOO4RqKdyQhzKzE6QbveHAw5zDXkHQ4DnN9xGy4hvuzaMXfcXF3u91WEcgJXJs4xjPPiZeLVBTd+L3bJflszfMuwLkQ2ev1YjqdlvNzjOoSq6ioOD4fY7lclsIUg+l7vV4sl8sSnzebTUMUj2junshr+/1+zOfzwgUWIZhXSeHJO94SPz0jjPlhbPzBNc5msxiNRjGdTktO4yKRcxcKc7RREp8jorhl7X7z2BfiP88ALvEmJhYo+N3j42OjaJYdx869yBOZjckx4DPnl+YTF9vach3cbd5lk3zQ+Q15HcdD0Pe98nk4P7Tz2KIL19M2o6yi4h8JtRDWguvr69hut2URSjISEY0CC8ED+yoBiACTZ3/QD59bXSAj3AAMQ/b7fXwHeJIW1HoHMAKjd0chKKJGUNSCsDy88unpqSQ6w+HwhduA4/AcPBcgt3Hk4phdbk6i+L3dYb1erxSQUK5cVPPreC4mGkjPhOXCo68rIgqpZDUot8ZYZcqW6Jx8cR4s5jU5qaiouL6+jt1uV+IKavjpdIrhcFhiiF3FWVFui7m0l5hjHAdpYYEb7ESm4E8MZoHvlo08TwTuspuMWEy8I/EhNhIzOZbnhXEe2kUjojG3zA4tDzz28zG8oPe/4RqPOHB89/tccHKL6uFwKOckSbB7wUJSvjYX0/y5OtnKfGPXF9eQW2ZdeLTLoqKi4stEv9eP6XRaYpzFBsTavNM58ZX1NwIBDqLtdltMAhS//N1iyXQ6fVF4QfR34crzkO1WOp1OJReZzWYNRxQ5EqKS2xoR08lpuDZ2nOR+PdrFOZW7QQDntPjiohWcYRHodDo1HM3O78wR2QXH71knuODI3+DN7EADdmK7gJbzsuyu5l58f5kX8/OoqPhHQy2EtWCxWES/34/7+/tSBHMgtirghMFFJAcRgj/BNScmEeeFOYt+v54kwokJILGIiMY18XuCPoTCuZxE2IXFebE1M9Q4W4JdwINUSZRc/MsqQW4naXOIOekAH2uFyU4DFHieO8mUv3IBLF+P1RUnJVkNcuKSry0nT/l+/YwqKiq+TFxdXcXFxUVsNps4HA4l5hBf3e7Iz46zniNpwYENTyjE4A5DVSfGeVMVCk3ELLjKxSMXZswfXrhHnFsU+ZlrhleyUxglm+KflXW3LyLWRJxnqeRkxAp+FkvsUvNrIs6JgHfRMlwEg/vsUECkMdfkdiOuMR8Tx5kTFDve2rgPfCxBcfENwa6iouLLBI5RCxnEKDt+LSLjAlutVuUYdKIcj8fY7XaFtyguMdSeGJQdw5yDnSIjziNjctz2zEuKSDiHI6IhHFEIo5OEnIXYDK8+Pj4W3suxOOdjEU3+anMWc36/j1jc9jeOs9vtWkX0zCHwQ55d7WKYHW6cy7mXjRfck7klIxfJMpf6+djQUDmm4h8RtRDWgm+++aa0NT4+PsZqtSp2VYosWSGIOKv2/L7X68V4PC7KA4oEFtU8eLjT6cR4PC7qgFURuwEizgvoyWRSrgUC6/V6hSBIftxKyHFop+F1HPN4PJZrgFxMdnmxTbCGSLHf2qXAQt9qhpOsrK5wjzwfinEQjJ1dfNEWSqICeZG0+AsnAvdB0tjtftgG+nT6MEByu902iNQ2Z5OaVTI+y7YCmHeu3Gw2lTgqKr5gfPfddyXOPz8/l8SCAhZc4x0kI87KvcWN6XRa4iXiScTZiczinzhGvKTQxLl87oizmjwejyOi2crnIe2Ox04wIs5tGexUhiONuO8EBdc0MRl0u93iXphMJkX9Jw5bwTc3t4kfXFMutnF/cI3bNC1e4WAw95k3eYYkCeYGXnM6nYr7e7PZNJyBvoaIMz9ml3nEmWtysuKksrbkV1R82RgOh/HVV1+VwhJjW4iztKlHnEUPOmN47XA4jOvr67Ir8XK5LBu70AJJIYyYjOBCscs74UY0R6IMBoP45ptvSn5Csezi4qK0S3a73ZjP52WgPrESYYifWWvTZUPxiVxpt9s12vFtVMDBBvfaEeeYbJHIvGeHMuN1Op1Oo/uH3A2e4bxZSMmdLvAkvzfn4rrmmBSnONd2u431ev1CaHFOlUUu5zQc03xqDq+usIp/RNRCWAtysSbiHNS9SHXgJIDk6r/VcpILq7skETjNfK71el1mjVEAyi0uJBPMbsnB2W4lO5w4lq26Lk5lZToPyMwqPOfluG0tHPnaWKRbPcktIp5F5tfkIhOEgAOO5Ibnb/WEoiTHJTGxGmQ152OkYWK0mm/VyM8luxL4vCoqKr5cWPWNOBdy8jB7YjdD0VHLWaDy74jmLCq+W4Bx0ed0OhVHmofdW0DBNQBfkaDkIhrHhSPssLXY4BhqHrXzDZ5y8c4LcLjGzwLHmQtojrlcm51cPn4+h7mDc9pFwT25EJfbHfMOoD6+OdDtj9l54PvJgpHvj2PnQhizd2pLfkXFl4vsKM4dD57ZxfoZzuGL3Q6JKxYUIqIx8woQBzebTez3+xIPETc8jgTXmsWMwWDQiPGe70ie4TZPF2yI9RTAiOFwYnYokxdwfRToPIaG15rneD3P2cUvYMNC5pU2zuLcFBcRzcwxcPButyviukUYPj+3S2b+IPehaMdrcpdLdtH5vuHvmtNU/KOhFsJa4MKLF5Vu+7NCG9FsyWhb6DsQuTiVCclWXtRzVBUCv4mD3n4nTdxDxHnR7ETLLi6KYbm90IUgjuX2jxwg8+Kbe7V7yo60rM5n0uLcueD2sfdyTophPBMXzPg8eeYO+vm+c3Li4M595mvxjJ5MFn5GJo/cOlpRUfHlgAVxdi2ZW3gdIgT/JgZ5fiVxkEUpx4JzcJI5xj49PcVmsykJBmILXOPCT0Q0iiluVTTaBAo70NqKf24TcStLFo44Nj9bmCGmOkYD/w1ONN9a6MiiR+YG31fEmWvMdXCN3Xkc00liFseAC1nmk48VwvLr+V1ENIqYFRUVXx5OcY4vzj8sPEREoz2e1+JW6nbPI1Ds2jUHsLZ2mzvHZlj/4+NjjEajMj8M0aXf78d4PC6xiuMOBoPSHWNRyLHWPGMnr7t4/BVxzpMi4gUnRpy5wMUiv8cxP4O/OV/KOztHxIu8wDwAz7BpDK/LAjsi1263azi7fC3+PNuu1WYAXvdL+UkWYGoBrOIfFbUQ1gJaU2yrZcgkw4ldWXerggsrViJOp/NujxHReA9BjKIUv2do5PF4LLs3MijSc6y8wM+tFS5idTof+uspqE0mk6KgcByuLys8VtqtXPBazpHVA0glB8mPkQctkDw3JykmDBO5i47cWyY1n585bp5XA9HllhTgoO+kJf/e3zNcLIw4D+dsSyQrKio+f7C4ZbE7Ho9LPPCsSRa7bTE2O1RZfAOKHy7gdDqdeP36dUR8iMW0qzw/PxdHLRwBb6FKozgTVy0O5aSE79PpNMbjcRmID7fmhbRnu3xsYZ7FJIsW2Z3A+9rew0YB8GV2tbmYZHHMDgScCty3eYdn792ned5+fRtfmGPMf7zfydxfQlsxraKi4svC6RQlhxiPx9Hv92Oz2cR2u20UdxDf2QSEuEHctnOMAlav1ytjRCLOcS/iw6iZiA9xi9b/4/FYuAV+oHhl5zAiB4IL57ZTGbFmMBjEYrGI0WgU4/G4tbjDddARgiAzGo1euHMZZWNuc/EwojlLzAITfEHOhSjiNk7nM/zdfHY6nRqzPXluuOLgaI8doIhpp7bzG77Im9o4xSNr4Kc2cQW0iTC1KFbxj4RaCGuBA5V7xa18uC0FEJztbCKQeCcuzuHiVbbMQhAslvNwXhdsvKh2e4WTBv8dgqG1I7fAGFbifTz+1qayRDQtwlZXDAdO9/Nzf97Bhu/ZFWYngWe0+ctW59z73ul0GnPd/JqPFbb8meeWlTZlvw2VKCoqKux8Gg6HMZ1OG0KIWyhcNDHPEIPc5uKB716o4k7KbePEfZ8PzrAy33au7NgyByEAIdwwA5N/26Wc32dl3pxngScXiNye+LG43cY1HoZsocvONs7nZ+LdNp0I8Yx4ndcBFkM4L9ef3dB+Nplr2pCLgDlJqaio+ELx/2LxaDQquy6S02y324aT2DGdeO2d4omz3oTDDiK7yo7HYymiUaBCrMncxvksLjtn4lwUcvgbMZq8BsEfYTxzWhZG8vrfAkk2ORD/7RLj9+YJeI8imwuIuVjUVkjiPOysCZe4YNaWKyEo+X7toGuD1xJ8LhzrU3OVmtNU/KOiFsJa4AUtagHBkzkq2R3l1+PqckElF1dySwhB8vHxsTiF+I4i0lYIc+LiBXdbIQzygAA958TD8r1ozs6ynAC1JQFtiUMOwHZ42cLMQOenp6fSl9+WHHAenqELXBCG5+xALi6OuRCW7zEX+/jZ5+XnrJ74Hj+GShoVFRVe1BL/JpNJUcwfHh5KnDRPsABH+eU4uRAW0dwWnvjH4vqXnMDZ7WXRJSdAuRCWi3aO755z6VknXuS3za9xW6cdDL5eix4ZXLtFIJ4JQ4bhhKyEA7u0ELfMNeaKnLhwX3xmWdDKzzJzXb6ONkdYfl/lmYqKiohzbIdj+B1dLsRFYjt5Du5Zt9tHnDsrOK5bISmEcTziv3eHdGu847p3MnYbZs6VKLKZl1wMy8PkyaEcky1k8DycI1iAdwu+jRB2Y5s/uX/PkSSnIR/LPJljPBxD3mnhJF+vuScL/ZzLPG+4EPYx0eRjOVz+XUXFPxpqIawFVjsIOiziR6NR6cP2DoruyXZyQlJixSPiXAjrdDqN6v2bN2/Kz27H4DhZgXYxKe8CloMzDgATB9fuGTVZmfC95IW2lRPbfb2wZ2czzmOV2tcCgfFaiLjX6xW7dk60TE48R87Jtfl6XADLhTQvClgMWLlvS1gy8u9yYuNCJeeqqKj4MkGLRd5FiwU0i2hiMCCOZSGGOB/RjEVwCLssRkThGruySGKOx2MppuVzebak2yVdhLKgQ3LiOO9/WwzhWdj55diZ1e8sRnkXTe/ixetwCnAPFCDhxuFwWNpEszPCxUgSvXy9Wc0317iABr9nrjGf2gmRRZYM8xHncYJmt1lFRcWXh1OcSmsiRRHyGBeKLKp4DU5LXUQ04qxzpIgP8ce70b9586bEdhdbWG/DV+QQ9/f3DU5gFrKvieNRXItoCiLmGX5HDOd3PAcXvCLOLl0KTNx7dvISZ+nc4Rwe2u9CmK/dTi+3fEZEEWgohPEs2RETN52vlfdZ1Od4tFTCaS46mlfMM+YS4JzJ7/nYeysq/lFQC2EtIDlxEchOMBTjh4eHEuS84OY9BCUHdBa9/J6AHfGBCDabTTm3lXRX3h047Qibz+elp9y7poCPKfeecZIDnQnECoCLaDlwOiDaWpwJxwU6rpPkyYmd+90d4Dl/bhHKQd7E3qa2o6Bwj5zLFmE7zXxtfOYubPK9rQjm66uEUVHxZYPivdswnBzkhMTFe9DWwtHv9xtcYxDz4RqQdxHm2NmB1ev1SmsNLS+ct80l7Vjohbe5Jsfl3PbigpmTL8f37B7O53eRkPuFy339nt3o+847LLddf3ZKt7mEfe2cl2Pbofxrilec2+KSObjyTUXFl43TczMOsXuj8wAPW/drT6dTKaiQc9DqzrwtnFudTqcU1yiK+X3MO/ba3c5ax+PFYhGTyeTFTpC5eGOBGXHBu8DzWsdlO8gsrHhXZd+/3crmYoqCnMPdNxY8Mh/4PO4ycmso1+S8wvmiu17Mq/CIOYnPxXOq7X4DNkIYme8a/221rDMqKv5RUAthLSA5yW0Z/h/dqnDeQj7iHGQiXgavrLA7uYFUqPqTnBgo4pwDMqFwMx6PSwEtL6bbijP5ehxQ2wKsf86zZbIqnR1PJgL+huoSEQ0CdiLT9ns7DdzWme/TJJkJjuM7iYJ43DLK87bKnx10hq8jE0Tbc6moqPjy4JlRxAoXwuAU5nplcYMExgv5iCi7TNk5bBGHpMetmcPhsLSucG67nRwf7Tx28cvXYJhrPraIzgtsX0fEWSTJLl8LT36/EwCSF7sJPHrA1+4ExYIVz5+f7W726534tBWfHPtdfOv3++V559b+/PqPPd8s5uSiXEVFxZeJUzTXvtvtttHi/vj4GJvNpuzamAtObN7C31gf20FF3hFxzh/YLASum0wmZfMxYiut6bSpA7ewO9fIgkf+t3ntY4WziHjBW1yPDQZ2+RKbszGB4+OiphBHHkH8dQ5CzkJxDU4xL2VnG/fDM895Ka+JaI6x4fcUwsh5aL3M/ODPxsf0M/az/RTXckXFf1XUQthHwGLVSUPEh8A8n88jImK1WsXxeB507ECdq/4kDBw3t+jZAeC+dF5rW2sbTEjdbjdGo1GjgMO5ssMs22h9XheTIKdclGIBPxwOG+6B3MZpN5RnsvBc9vt9DIfDmEwmjeSA5+NioIMw5NHv98vOMzxPE7SfnQmI+4xotiRRCPVMHVpmTqdTYwCnCcPP0J8lr/tY0lZRUfHlITttj8dj7Ha7OJ1OZajx8/Nz3N/fx+FwaCyUI5otCXZOIaRYwc5KcMQ5xmcXVHaBcX0syontzNDMoguJkmM410v8c3GO0QIkXC44mUtxIbgFBLc2C3vOj8uA3b+4j/1+H+PxODabTeECO7v9fF3os+hirmF3NSeL2aHHsfx8LHINh8M4HA6lXebh4aFwpP9byVyTE7TsVPMzqoWwioovGKdzLHp8fIzValVyBdar79+/L6KLcxqLLc4hHP/sTCJu0wLI+8fjcSm4EbdZz0c03bsUfOCyyWRS1vYU8DqdTtkl0t0wcCAiUBbAn5+fY7lclvyF1svT6VT4gI1rnAOR13hYPuLVarUqcRaemU6nsdlsyu941sRy52V8uXB1eXlZrpGd7lkjwG9wFPxucwOfl8WW7XYbh8MhdrtdbLfb2Gw2sd/vGwKRu2H4bFirmGfMP1Xcr/hHRS2EtYCBih6qaIWAYH5xcdEYFhlxdhexSM4DFrNLyRbaiKZLKQdMqy4Owm1FGCr/XDfnJyj6urxgtvLg6+DaXLyzI4pAS/Dt9/uFIPf7/Yvry+e3yuLr42c/T4pQJEaQH7MCrOJn+B78O7vAaPc5nT5sX0zvPQTIfyN8xx2BCyOfz5+5215qIayi4suGY7sXr8RUuIaFsLkmoqkaR5zdsvAWX3nnRx8jO33deu8CkAtXfj0JCHzmhMIOgazK+16c/HiB7evzNXigsrnGsxxdTOO8vOZwODT4NeK867P51e4vc6dn1iA4tTnd8ncX1tyK+vz8XAqHFPQ8o4bP2MKQxRSOnWfdmN8rKiq+bFDIyc7b6XQaj4+PMRqNYr1el/U4ceXp6amxsQox062MOJcfHh4a3RnOe8wJu92uiMzeSTgbAfiZdTkx0TkN10QMdHHGwj3H4iu3dPJ3iw78nnyP+JyFbjYLsCPYbZMudvk88BN8wHkpUvJs/VlYUDHnRjRzDgQpwDEHg0ERW/hvgmu08OPWV+C81TlczWcq/lFRC2EtoGfcC00HRZKTwWBQgrkX6gTfnHA4YGT13EUgKwR2EtmW7IDK+wz36BMsfVxfJ8dlQZ6VAKszHMfX7EQB8rQqg4vKTi7PAiOw22VgFYNrcBLktlEKUZCok6CPwUE7uxgYqBwR5VxuRbXCZGLnWrKjzrZt274rKiq+bOTFO7/j+3g8LrMot9tto/BFbMHNBIipTgjgHhdTXCjKfJJbKt3ukuOq21c4F8mQExRfiznH8dRcYyfbL10r/8b5ZAe0r9tOLVzejt0RZy5zcSzHdjbOIYnzPdjh58JffmYfK4QhbuV5OS7SIQZR/ItozkoD/ntFRUVFdmERl6bTaTw9PcVkMom7u7uIOM9K5mdme/E+1uyO7fzbgoLh+E0cZhQNrflu9/P7EVwofhHvXJyzGwrhh9jpY3ENjrPuQrGDiuMfDofiNN5ut42CXb/fj/F4XP7Os8vdOLkoZa7n/p0DIq6TQ+XiW0Q08gu+m0+5Jz4nPkeOC2da6KFANx6PS0GvLZflv4OKin9k1EJYC6bTaVxcXMR6vS4zRQhgBK/RaBSLxaL02ZtY8q6RwFZhL1pRtVng5uTBxyWwuUDDse3s4nUQB7/3bJOIaKgW2YHlpIsAzbGsbpBMuN2QnVQIlLR7eGGee+F5FrnQZnA9Jjde7+DPrBsnITwjXs/v+FxJeCAN28GHw2EpekacnWDe4cUJpz+PmpBUVFS0YT6fx8PDQ+ERtrY3b4xGo3j16lVst9syQ4r4CvdYJAEsdM01uMtoB7Eo4rhoVxQuWccwF9lwww4Gg8a1eJC+HbFWvCNeOr4o/pHYZDcWqjkYj8cNPkPlBlwX18E1IbrkzWj42bzGtXk2Gq/BiZw32eFYfgYRZ8ezz+ukygkY4gwFMj4X2o1YZzw8PJTxDRUVFRUZxCrWtrPZLCLOAm23243Xr1/H+/fvS3yhuMP6mkIX62s6PmjbizgLMRRcZrNZoyXTsRsemk6nMRqNCie5A4acidcjQhyPx9IWSVEL7tlut4WTiKl21na7HzYXgyvgsSz42FFL/J9MJmWjAXjK+QPxn2Nxzy58mUv9XvMvMZ+cBZ7jeFk883gC5278PuLMM71eL6bTaaxWq8aawvPYOp1OacHMxTZ+rnlNxeeAWghrAQUmL9jd9kewmM/ncXt7W95nVcKtbwR2F0vcCuhAG9EMjL4mEh0nMMAB3tczGo1eJEq5gJQtwFxTtk/nBMLJC6To93EfzCujkMbfrcJzTrsAhsNhIwmxiy6iOYvNx7GqYccFyR730+b2IynM7gLaVrh+CIYkiAKZC2F1FlhFRcUvgZjlYo8XwMTIxWIR79+/L/zC+yhysSj2otfFJwsNjqPwTHZYERNdlDF/eIYIxRoKeMQ/t7Dz3c5h85+5x+0i8HAuSgHeCz8jYuF88Gs4roUOjs3sFq7NjrXs4OYZRbzcuZjzeSaZuca/83lc2CIhIem0u5tZLl5P1ISkoqLiL8HxjZhN/HA8n81msd1uGwK9Yw0xOaI585FiFVxh3snFfbftwR2eO4bg4R0UKUThkiIekydENGO9xXQL7G2mhSzQOO7zfs5xcXER0+k0BoNBg2fMMRbIacMnpzHXuYPF+Y/dXTxTmw7cRePime/NxTc+JxsxhsNhjEaj1kIY3O3xQPmaKio+F9RCWAu8eM8KuVsYIiLevXsXEfGiz9zqhAfve1HtxbBBsGcAvfvg7XZqczMRrCGSyWTyokUvoy3ByDCJOsjmlkhbdzudTgmskAb95pAvfeg8GwiJ4mPEue3DBUbIOD/j3OMO6XJsKz4AIuIesDZvNpviYqNlEvLh+TIrxjZyO/PyzLCKiooK4IIKMcnK7mg0KotSdtry1vBt80qyA9ZtJm2FMIQV4hU8hugScU4kcEfbWQz3jMfjxr1l1y4xs41vfP+Za+zEcnJjh6+dWcwAY1dMEjquMbvTMtf4GXmuGkmT3V5ONpxwwNm8159NToQeHx+Lo4L1hVuELIoNBoMyKy5zYkVFRcVH0TkLLhFNniEuDgaDmM/nxXVKroHrlMKI4zexiHVxFmAo5jPsnkKMO2Cm02lEnB1L8JJdVsTpyWTyIseA2/i9O2tcDAM2KdiAYKdyjrFgMBjEYrEoPMNMNe5zOBzGfD5v8CnH9mxJBHdvXMM1ZTHJbjYbEphV7QJnLgbaDMCGX3bTmXfge87L/bsQWlHxuaEWwlqQVQ4G1xIQKd4sFotYr9dxe3sbt7e3DcUcImAhm1UNL6rzIpnebAZYHg6H2Gw2jfkgEc1ByagQua+dlkaUCd5jdd4DGiEdrgc4qXLQdaDmdTw/3kOSRaB1kLeryoGc54Liwvww9/3nz4vdbnq9Xnluu92u4ezy/TiBtLsBsthut+V9o9EoJpNJeQ2FSpJTu81MoBUVFRW/BPONZ3udTqfipp3NZrHZbOL29jZ+/vnn8l5cqj6WY1lu1zDXwA+0pTAvZL/fv3AlE8tQ6WljgV/gRI8FyAo538072ZXr+4A7XKyC6yJecs3z83OZE4nLwL+Ha5z4mNdoAyExILmxeIKg4pkqHjrs3ZKdgPC5epSBd07b7XZFdBkOhyUx5d84I5hrBuAxDzOuqKioyDidTi9iPDnN69evS0HpD3/4Q9zc3MSbN2+KWOBB8bnIRTHKjmBvkEUMHY/HZfj6breL9Xpdjk1MtisaQYDh7vAMa+7n5+eG2wpBJ4+YcTdPLo4R+y26uBPFwkg2HmB+wFl3PB4bPMPr3Up/Op3Kro3Oa+AouBXBi5wGXsvzlNtEfPJWzrtarWK328V+v4/7+/uSE/kzYwYcc9hWq1Ujp6s5TcXnjFoIawH/41vZcLJC8B0Oh3F5eRlPT08lqOfikQcOu+XDFXaSFwIolXqSoIizUuJjRJx7uQmWBGLew/lRVKwWeC5Zvr78HHgvRa18T7ktlJ99nEwovC/35TsZzNfhY9mFxjlJCrEA8+UWEqsxfL6evcJXdgPwrJwEZVecr7eioqLil+CY6OKLhRgEjsvLy3h+fo71el1io9s4WJgTG801OZY7MWHr+Zwk5CQl4uw05ppInrgX3hdxjufEeM9ByTOyHDOtYmeesTOMe3bhEJ5020/E2Z32Ma5pc/RmfjZn+55JPhBc2uZ25qHMHIP3Zn6HU/yZWOXP11r5pqKi4hdxarbLUyBiviDCy+XlZRyPx7i7u2sUiCLObd/uuKDgQm5AfkCsJpfhK7t/zVWAApO/OL9Hs+QRMeYnju0RM+ZBd88Ar+c9L9hjTsxpFKhcCLMxgHvL7i9fi/Mc3mMOykKZC2jAPOSZahyzbXdI82nOX9o+95rXVHyuqIWwFhC0ciGMxe5ms4mID0P1r66u4nQ6xf39faNH3schcDqx8Ewpfj8YDGI6ncZsNovZbNZITlzI8VBF3k/LCiqKFYKI5lyStgTFDi+Cn11wdhk40ckKTE7ocjITcQ7OntdixSSTAPfpLzvvuBaO8fT0VFQnlHaunWObTB4fHxvJH9Zhu/koMmarM99NplxvJY2KiopfggsuXijjcN1sNvH8/GGnp1evXkVExP39fez3+xfqbBZVvN08fIabdTAYxGw2i8lkEpPJpLTi5XZylHgr9rR/WKknQWor3mSuIXazAOd+ibl+r2e3uJiGmyw76CLad7a0uu1nb67xM3SbjXnH98R7siOM1/kcueDGe+0IMJf4WfmeMo/WQlhFRcWn4BTnXf4ohD09PcV2u427u7uYTqfR7Xbj1atX0el04ubmJrbbbUSc5yLTIsl62yJKHt5OB8h8Pi+uYxxH8AfFG1ryADGeYzAonvO74ESO4VzI84KdL+W1fVuLvvMpioXkfhncd8R5Ixau0/H8cDg0OCWiyT+8P3/xOopg5prc4eIOJq6V6+P3zjczX3McrqvNOVeLYRWfI2ohrAW5tY+CEgvdu7u7kjTM5/NYLBbx7bffxs3NTdk2HuKANGzdPZ1OxXFEYKL94fr6uiQmLL7zDlG4vtgtJeJDoJpOpzEej2M2mxVFhNkjEJODm+dsWYVwT3oGCUl2DvA3zx8wclDl/PSt2/LrLYd5r3f+ggRIGvNOmy6EbTabcp8uHvJcneRANlwfCePpdG4rNdn5GbbNTKg24oqKil+ClWbg9pW7u7uyqF0sFvHq1at4eHiIt2/flgK/kwiKJZPJJKbTaeEaCwgkF69evSrD5TkvC/W2dg2r8peXlzGZTOL6+rq0R9LaR6JDzG1rMeF7VqNJaPgdPOZj8Tq7EbguPwd+B3/TSuP2kfzsc8umC1VcLwVG+Gu73cZ2u43ValUKd/Afawnmetm1xlqAz5Bjbrfb8owyr2SlnoJp5ZqKiopfgh3BjA95eHiI/X4f79+/L62Pf/zjH+PVq1fxL//yL/HnP/85DodDDIfDmM1mjSJTr9eLyWQSs9ksTqdTY4fBbrcbk8kkxuNxvH79usy6pCiDkON2v8lkEvP5vMTFw+EQr169itlsFtfX16WgxegSj37h/hC14ZyIKLsxI/JbyOC15lAL6hZh4AWL7xbgeW92cB0OhxKjM6959I6NCx5xw+dGPrNcLstulZ6PxjgXctfMM51OpxQ7n56eYrPZFAdZRJRjcB/wrUWdyjMVnyNqIawFDqTZQWTlHoJ4fj5vFe/Wi9zGQCXellqQFWACl89PgHOvPrNXWKDbfhwRjaDNNeSiVA7kvl7ey/VgS/ZrsgLfZnX28Z0c4Hqw7djPL18X1+sdaZxQ+PguZrbBx8/PwsqSk9WslPjZ+ji1EFZRUfGXgCJrJ61FEuIYSQvusLzjFy2REWeeIUnw9ucRZ+HA87rMeR6KTMxnEcx7Uenzjl1eLGeuybBCbq6JOO+mlYtkOe7alZt5zNzJXBYGG+dkhmQif+U4bhcy95BdaVnR9/vanoXbRHNRL/Ngdh9Xhb6iouJT0Ilmy51b6CLO8Zs2SRd/slPVG40wG9I5jbtc7AJ2fKdwxrE4/2QyKWKCx8Q4J3Lu5Dwrr+kj4kWukF21HnWS2wGzQ9kutIiXbYzM31qtVo1rzK/PMZvrKJ+VHNCeMZl3cfQX72njS3fvRLzkLee7fr2vr/JMxeeKWghrAQHDlX3mf4Cnp6fY7XYloHroO6oEgdMLYCvrbkEEBChUAxeNHAwJVLPZLMbjcczn8wZpuHCTCzy5wJSLblaj/brcggGptLWimDyclHD9u90u7u7uYrvdNjYawEJNYufCl/vscxExJyc5IftYoS4Xt6wS4aDLSZGP59YfEyhF04qKioqPweIJsc076/L7w+FQ4g4OrYiI/X7fKIQRt/v9fszn88IhbVzjGEaywmLeXNPr9WK1WhUX2GKxKAPdPRTYHOGFd16QO9bmFnSQ20jygp7zOfbmpAS1e7fbxc3NTazX67i5uSnPCMcC53bR0a0o5pFctHKR0EKOeZX3tDnWeB7sEO0W0Yjz+ADOZ/dxTU4qKio+FY5Z7IpORwMFq+fn57i9vW20rxNnPLfQBZPZbFZyD2JTzmk4xnA4LJtQLZfLIvAfj8dYrVYREXF1dRXz+Tyurq5iPB7HZDKJ0WjUaE107Mst5IDfudMD4cbPgi4btwmao+yOIv7mFseID47q29vbuL+/j7dv35ZiIvfBs3Qhklifh9+zJuC7i1bmc66f6zIf8xnYlEE7qp1oFCK5F+eubbliRcXnhloIawFVeAdML3ApihGc2G2DPnYW2gRItyBGRFHU+d16vW4MZ398fIzRaFQCowfg83eORZHueDzG1dXVi4CWVRkv2J04RDQVBNt0c0GNOVku/vH+tgIaCZXbS7fbbazX62Jzzi0lvl5svHZK+P7dfkoCRXJhODGD3DgO15lnfXHdvM6DovncIf6POR8qKioq2sDiOMcOYikzDinI4PqdzWYlVhL/8qB8CmYs/p+fn2O1WpX2QM82Ia4S20BuF0fkORwODV6ixZEWmIjm8Hy4w7PKvMh24Y/3EvvdJsL1ZqeU78PtKA8PD7FarWK1WhVXGE434j+8QFLxMa7JzjMSStwP7FIJrL6be/nOe+0G9DBj33en0ylc1zZmoKKiouKX0Pl/62uvfyM+xLHlclnWzJeXlzEajWI6ncZkMnmxk/B4PC5xihiIe4u85v7+PrbbbWmX52/b7ba0KrJ2Ruix4M1Il9evXxfuIu+YTqdl1hhxMYvTLhZZpIYfciGJuWMezA8fujDEe7hWj2nZbrfFsODXMUbHzivfI/zKveeWSPInCpbz+byRs1lI474szvA3fg838l7G8gBc4W0bp1VUfI6ohbAWuOjjYOLFLARAkCPQR0TpX6cgQ8BGNUHhsLsrW28jolT4ea/JArjHni/60Uk2skOqLYkA7q3/pVYPu7u4Zh/XRTWr6xS+7HBz8MaqzXPhHKhIJrhsYbZlGNWKv/n5+v78eUOgHNuOBRf4SPY8QywPnayoqKj4S8jxNcdoq8ckHPBNp9MpC/iIc4s481nm83lMJpMSo4ijVvSJWyz+e71ew+nsNkI7Y7l24jWuLsQEv87FI993LiqZYxyjLRBZsSceO+Z6oDCt9xQTnQxERJlT4wHHH+Marim7toj9nglmt4SLX/7ZIhSvc9tLdidwPLe31OSkoqLik6H45Vla8Ai5A0WQTqcT4/G4FKsQbSyWuGCGOO58KecD3m14v9+XGG0B2zEW3iJfoFBFschzlh0bQW7xs5PrwyNp5jQ4oInLbe2NEWeBHGEF5zFFLYbsR5yFKhsiaA3l9VxjdqplnnGRzq83t3hGWM5ryMXgVM/ENOdmJ3fm5YqKzwm1ENYCDzr0fCiCKsGRRTdBDDLY7/cNJSEiSqvK69evYzKZRK/XK9Zk/k4gZ0DxbDYr54G4WFBT0LGNlyCL0gCZOWGwI8rBF1ihzl9WxAnQnJd/OymABHGCeRdHlCHew/shPM+reXx8jP1+X64VG7MLaE4iuTeuDfWqTZXPbS0cg+eOWkSCx+cCoTO7YL/ff3SDgYqKioo2mGuIN8Spi4uL0mJNMYyBwcQgFuMuwvf7/bi8vCxc0+12i1rtNhjPcWGwPtexWq0abRi5PYTfkUB5d92I5gKda+L3fM9t547LWYG3mEGy5V0nOS5qNwPsmQtGDOfaj8dj4SA7jymicQ0e+u9EI7exmAfdmuKkJnON+QKe4/PGneHXmL9BTUwqKio+BXSz4Ah2qyMFJYpOxPH5fB7D4TCenp5KPKKNu9PpxOXlZVxfX5eCGfETnsk5DTtSRpydaJlnPFOMuMsGIsRwu3n5N0Uy4iRxlqKU47Y5xk5jFwj5PTmNYy+CPvkMhTD4jhZFhBUKiZ1Op8R5duTsdrvl+WWHsE0P3inTOaldaW6hJO+xIOPNYlhjOKeLaBbC8n8/FRWfI2oh7CNoU7AJFARfvtPCwuB8F4NYqA8Gg7i+vi5zW9brddzf38dyuYzD4VCC+GQyiYgoll+IZDqdlgDttg1UFmaD9Xq98nfbgNsKX5CZ7bgRzRYQO8msCuT5LVybt7d3SwfFMOzSuUedoli2Lft1JHAUEtkgAJIigciD+kkucqunkxfPXXPBEYVsv98XB9jl5WWxZrMNsRPEioqKik+BY3Iu7Dv+e/G/2WyKozgiymIWjEajeP36dVxeXsbFxUVst9tYLpdxf38fm82mFPHH43F5j93LFMUiPvCWVWtGAIzH4/I3L8BzCwjcQVwlZjrJyC2EEU1HmB1WJBK4FpiBZgcbBS1a70n+7Eq2A4H798gDHL+4HOAbz2PzZ+IEhYTLySXXToICV/ie7JZG/Z9MJoWLN5tN+W/BSn1NUCoqKj4FXtu7yEJ8gwOenz+MbJlMJiUGu+BPm+KrV68KzzD39/7+PtbrdVkvLxaLhrMZvuLYz88fBuS7DZ+5x9PpNPr9fhHR+TtiyHg8LhxjFxUx3N01eWSLeSd3k5AbUTDENWUhhdi+2WwKJzmfgU9wjHFc4vzDw0PpEnK+ZOcvIlOv1yvH4Lp8Lu6Zv1Pw4t65XniRHShpjSR3RSDytfC8KtdUfK6ohbAWOPnI7QkuthCgbOd1RT6iOUzdc6/2+31RrVkYe5iiW1cgLqsbEVECn3ecJIBZfaYf3NcQEY2g3mZjtqvKQdCtMXZQuUXF53BSY7LiOfm7jw2BeEaNFSZ/z5ZotxrlZ8o9ck1WpDxgMiIa83n4PZ+VFa/830lFRUXFX4LVZn9ZdDHXRESj2OLWCRIVik28Hq7ZbDaNWS8R5xhO+4bdR7RhwG9cixftXA9ghhVtktkd3Nbux+/hOQsu/sqtlnZWkcDYYWZO9hd/R/3n2LjGXHhjDcB951llES95zZzie8m/93ODpxF+zJ9O5iq/VFRU/CZ0olHMt8MVvqD4n4v6FHUsIDse0RWBwA/PUEDiWDio4BSE/NyGboHbIkdEFBeUeQxOsaANR/ln8if4oq0TJOc0/N2czD3DHbko5Z2X3ZHCs/SMTp8r55x8RnYbU4DLHAPyvzMPWhjKnUX5c/2l41ZUfC6ohbAWsA0wLq3RaNRY7LotzuoKlXq20I1oJjIUnR4fH4sbjG12nRDk1gvbVCEWkJMeB3aOs9vtys8s5mnpc8sJSZQDYpsrjGKerxPlAnLIyVJOcNx26gQC95ZbSvwccZt5YH1WaSKiFNDyszTZtiUvTry4HiebVo0ga55ZbY2sqKj4NUCJHQ6HZUdhXMXEVOIc8dgCAY6niCix3Vzz9PQU9/f3hW9IIEhSiH+0aTgpoL2DuOm4m1vT27iG1zqek0RxPC/AibE5QfC9uNWSJMiOuDaxhWdFSwq/Z76Zr49nD8/wM+sAzuOWVQponAOe455YF5jvOK+LYxbRzEtuiamu44qKit+CbqdbeAZHMTGZIth8Pi+OMOIanRzb7ba0i3s+LmLxzz//HDc3N3F3d1faI+2UpeW+XM//i2XD4bDETXiDc7iV3nnIfr8vr8/iioXz3N7uNkFyGWDeyX/nvOar3KJO/Md5zDHodnGuaBcxbagW2DmvxRlmqdk5Zz7tdrtlZpmvC3carjUcafBRt9stTj3nM0Z1g1V8zqiFsBa43cKJiNUT3EPZrdTpdErLiYMdgcWLdxbYJEIEIgdVQJEKlQS1PuIchGl7gdSsANB6geLz9PRUBinb0eSimItrThoI6qgUXsgTnLnmrPLze5K6iHNbDs+HY3LPqEZsMjCZTMqzguQioqgc3Ktn7pgweF6oNlZnUJ24NregAu8i6cSQa62oqKj4FFAoIgaz0y0x1e3lzEmkiNXtdmM6nTba8zzI2LGT5AIRBL5xLCRBsHuY7da98KdwRjLEzBhGBLDYprB3PB5Lu6V3mnRrphVwO3izE7nN2Ztfm/9uUcc7NVII5Fm73X4ymZSNbbhmz/1EJDHXkFRw3ogzX8LBcIdFIZDFGLuls7Mhu9IqKioqfgnEDdriLS4QX/I8XgpJr169Kq3wxFNiKiINbX7ses963e4yCwEWgFjH22VL4YyiGO2TEVHcsy7MRUQZLTMYDIrokzmF2On8KuLs9LIY77b7LHS7hdHjcOBjzBEUHTkerx0OhzGbzQrPwIEW991SSiHM+RfPykU38hm4BhdadpBnjnK3C/fKd+dyFRWfG2ohrAUumOTgmRfCVuOp5FPcyipChhfXw+EwptNpUZ3tRopozpLxlvVcnwlsPB43WgUdALkvdhtzW6eLU8CJhdtOspptOzEJmJ+h3wd4TbYAO0ng7yRzJHpuJ/JnQ2Jn0nBgN7lAzKg3HMMwaTgR5F74bO2kq6ioqPgU2M3qWJvjDQtcnFTj8bjR6pG5JsdZFt4RH5IFRJCI85bq/OyWeBfAOAfxlaTKDjQnO1wHqre5Bu7KLt3MKy5U5UU8x/f1tb2W6+Y9Pq+TCX4Hx/DlFh2LRdkF4FZQHH1unfFcF1+37z0X8uza4B4qKioqfgvcNZHbrk+nU6N1EcdXt9ttdMW4KB/RLAjZOTubzcoGYnYyRzQL+PBIzntwokWcO1/cjUJ89RgbujTMMW25BdfgXIPnYkHCTmVzVVvew71YeLHIb3GLgpd3wTQneV6b3Vvct40Q5iM7oBG3XPDMHTIWVCy85SJYRcXnjFoIa4FVXJSHiOZcqf1+H8vlsgy2nUwmJbAx/NCLWAcqQDBjAPt0Oo3hcBibzabsdMX7rDpYkdnv93E8HsscGF7rQhGvcU+4HV9tMwNIbBxI3WrCc2JRb1tzRHPmC0E5txlGnO3Ap9N5AKaVB+6VZ+uCY3Zhcc1YtXOxygoI98Hnyz3n3c0gOqvxHv7va6xtKxUVFb8WKLYkIRYaIj60gaxWq8I1i8WitLfg7LJS7Jb2iCgbjVDkuby8LHy1XC7LUHkXv4izdiLTjsIsmIhozGikNZL46tmKdqdRYPLGKBHnRMFthOYX/8xx3aZJO49jehZfXKAiZrsIRjKVuQaeylzD5+bz8PxdBOML9xiv41g54QIUHT0moIotFRUVvxbEbtrpPcqE+H57exvb7TYuLi7i6uoqHh8fSzx0DuP4aSEEN9N0Oo3Ly8vi+l2tVrFcLhvdFHZz0XEzGAzKTpL39/fFTUY+A9exEyM8AydQLCN2c73uTGkT8N3Z4/Z2uNO5l9f/dKFkMYpny3M3J5AvmL+51ojmHGRvLEYex2ssvGe+Wa/XZffjfr//wuXmgpwdbJlnak5T8SWgFsJa4F0ICSwR563uIROKVVT0raRAAA5g6/U6NptNHI/HuL29LQUlD6r85ptvyo4rHlCZd6zKlXov6vf7fSlIEXhza0VENIpcJgaKPQTHrC5YMSGgZoswAZoiHeTrOS9+3n6+vi+u14W9NktvJnmUJI7Bd56RVXyTIM+S47u1kuIor39+fi4tP3lwaEVFRcVfgofgU8ixcEAhhEIY7Y0kDhS03D5JsrFer+N4PMb79+/LQpikZTgcxrfffhuTyaTsXOxdprguHLVtijVc4/gdEQ2OIU6y4xUtkxZZeI0HDuf5jlax7VgzH1CI2263sdvtSkGNBAAHnfmN+zVHelCzXc1OqNjFDAEKmKv5TNvuC8AZrB24Hu6d1iCKh21zbCoqKir+EjpyXlnUhmMQ91erVYzH45hOp2VHRFodI6LEJTbhIjf4+eefS67EDOKLi4v45ptvYrlcxmQyKa/1up5CE+tzdpPENRURJQ7aPW1ecuGKHYVHo1G5dxeBLMg7j+HL7Z9tY1Uc/9nszO2eEVEKcm6ZJ4cwd+WRAwYjCJg5jchkYca8zOfp4hkCkoUicx/Pi52oXZSrhbCKLwW1ENYCBwB+ZgG73+/LAtjqLsEnF6ps93Xhifc6WJJ0uE2SgE2xrNvtNna7IhC6SOSClt1XviYnKpkIHJitZucecwI3M2m8MQDOM7f1uOCWWz1IBk04/NtFtrYki2vlM8ANwPFNbjzv/Fz4nonJ/+YYtJX2+/3Sgtl27RUVFRW/hDyDI+Kl4GLRheITu3Kh1kdEY5FPnH58fCzqecSHAfgshkkWjsdjTCaTwlHe6ATOiojiCmjjGju22rjF391C6UKTlXZ4w+/z88pc4/fnWVw5vluZb+Mat7n7+nwf3uExu87MK9kBze8/1upoF7WdDyQnrDf4vHPyVFFRUdGGTicaIgKxiZmO8Mxms4mI5hwut1B6pEin0ym5jHMaF2PYWGw2m8VsNmusly1m8HvvVmyhg797ZqVb+QCxGp5xa3lu33fe4zgf0dxh0wU3eNXzuLKT17sym9+5Xudz2ZlljjTPOPbzsz9L3xN/4/vHim0cm03bKB46R6uo+NxRC2EtILgwCHg0GpWdNvb7fdzf35e2SQLuxcVFTCaTxtDETqdTlBaCN44iF9EizjtfvX79Onq9Xkyn03j9+nVJCtwTzrVQOHOPvW25TogimsTSpkYQ2EkSTCSeb8LxcEJFRMPqy4BMtx46OeH1uWjk9kiul9kAzD3jy8kXCRDqCSoN5+EZojK5TRQHgD/3iPNsMPf7e0tkXjObzYpLozrCKioqfi0ctweDQXFnbTabuL29LUkKSQuvi2gmNofDITabTSlyWRhwawRx6ptvvolutxuz2Sxev35dWvA8sN9thqPRqFWYsOCRWyHdvhFx3niF+4U7nVx44U8czq5onHBwDUKIxxkQ8zPXcA+cl9/BNaPR6MXOWafTqbH7JLuo4ZjgOBa7+Le5KM928Wt4ZhQ7WW/QnpOPi5OjoqKi4i+hE53GUHtGqTw8PMT79+/LSBbiHHMkneNcXFw02vi96ZTn7doAcH19XXKa7777rpHTuCWP8xLTnVtQOHI+gqPMxSXnOHTjeAdg5wzwnTkm4jyzLPMMLYbegdH3S4yOOAvwHMuuZBy+4/G4MerGzmM4cLPZFPeZnV3uVsLhTCskuatb7ynWuc2Uwud2u43VavWigJi5u6Lic0UthLXARZPBYBDT6bQsyklKcs81LXkENVQIF1R+6XwPDw+x2+1itVqVWWHYi0+nUym2uNfcNlxvNWwHmlVjroEEgGukbYWfI5oJFiRjF5hbTSANbLUs9lE0POvlL4HEimvw7ppck51qEVHIiQQIYiXwQ7q5T38ymTQKgdwfRUa34eR2StqJRqNR2VEH1EJYRUXFp4AFb8RZTFiv1/H09FSK+t7Rkfkf0+m0xGfPfnRBhjiUnUy73S4Gg0Hc3d01ZlvyOloDu91u2e7ebYkkHBzbbY4eI+DzO3Hh2DgKIs7uAHY0Ns/wd8/ugvNctKNoZJU/oum6yk5gt8372HbEWY0n+YHv+Tfn4/7g48w1dh3gMPf9w8EuCPLfB7uzud2zoqKi4lNgR+lwOIzHx8fS3bJarRpFnaenp7i/vy9tirzPrXicsIEHAAC9vUlEQVT+2UKDi01PTx92s2duMuLJ09NTQ0BeLpcRcXYiIfb4mJ456eKVx5KwfrdgQwunBSeu16NO+Du8Ag/CCeQentUFcgeQudj8Q16HyQJYCKLQhxiSTQhwinfShBNoX7U7/PHxsYxJ4DNE2CFviohYr9exXq/LaB8KaTz/yjcVnytqIawFVpJZcJNoEJRsec2BP8/xsPPLOz4SXHgNvdptOyI6qOb2FFtsrSoQOLkeH9Nqgh1SJCy83i0kDugmFbep5PlqeU6Ln0tuy8wJSrYl+/NBmYcgnTSYMCho5uN7FxqegdsruX+er5M926s3m01MJpPSHur7q6ioqPglEB9dZHJB3lxDvHSss4M34uXOg+aQiLPLC9GlbVaJi0+5faWtTcTxkKKNj5tjJu5ot7j4vE5aeDbmA+/oyGId/mxrRWzjmXwuu9yc1LndkmePEGauyc5rrw9wgvEsvSsa9+hrye06FrU8+7NyTEVFxa9BXvs69yAfgC8o9BNn2awFJy8x1QK1f89x2ViF80ecBRTvyNvWKphzJN4Hz0REY23etp4fDocvHE4+h91bFkRya6RduDmfaGuhz8WwnNMYud3UI17MafwbrvI1sH7gelzk87XwereGutBod3JE5ZqKzx+1ENYCBu3SJuHAjv2UwJNbIoCDNuRgFbvf75fzRERpfXnz5k0ppnmw7/39/YuBuSYRg8COqwAS8M4vvC4iGoTId9R3B09svlZtfE9YqQeDQWw2m9Kq49YR4OCei4eQtN0DFOp4L/Zk7pN2UxfecvGQz8DJlFUjrNKeP9DWwunkdb1ex+XlZWOeTb7XioqKijZsNpt4eHgoxZKLi4uiBnu2l2eleJaWnbFtLmEX8Xk9XPP999+Xohrq9PF4jLu7u6LIu9XRiYS5w8U1hBTEIxeH7AIjfsKPnN/cCjcQo1HTx+NxzGazco/seol7jufB+bNDOLdbWtCJOA+u5/o8BoECmLnGDi9vtAJf2lFAa5Gv0+6KiGjwBw4EjyTgOVaeqaio+DVYLBZlDbxcLkuOEBEl5jt3cRHEg+6JXYPBoBxzOByWTV1Op1PhmdPpFK9evYrFYhGz2azkJz///HOjgwR3F7HQMS/iLOLgmO71ejGbzUphbLvdxnw+j4hojJ9x26EFpYhzuzozN5mbCRc7p2H0CvO04DDitoWYLMbbZQ1HHA6HwutPT0/l+Nyrj8NzMCdyn95sIItYjObhuhDss0sbgefh4SEWi8WLIlkthFV8zqiFsBZQxGFAcR5WSOBjYRtxVrMJ5lbxCSpWy71Yt+Lb7/djvV7HxcVFCfK28KKiE2Ap5nxsp0sPUPTvTGQu4BBgCYC2/BLEUUcoGqFEEOxRI7ztOyTkmTJOIFyc47UkgVbbgRV5zwnjs7LCRE8+RM932lecvGw2m8b8Gt+7C3FO5PLgzJqgVFRUfApub2/jcDjE3d1dKeZ4B0e3F9pFbCHBfOSYicLf5lxiAc1OUYg6FMz4mWKS2/4y1+Q2dH7GQQBPOLFClLDIYOdxHqBsRZ2ky1yT1XO/xzyTRRK+83u3tnBN2YHn2ZduJ/J1UbjzuIAsrNiFkItgdo/5uXosQOWZioqKTwUjPdx67RgU8SFmjsfjhkPIeQGx2SLMdrstAk5ElPnA8AxrcMbMEOM9hsT8Q2Enz82isDYcDhvFuYgPRSVi7OPjY2O2WRZlck4Dp3HPxFqLU91ut7TD26XrnIZnbJ5xXugiogtlFKMs7keci1XMvkRcGQ6HjVZT73IMzH0IbZ5V5lZXfw4R0Xifr7Oi4nNFLYS1YLvdlqSERejH5lw5WGdnE8gqAYHGll5AAYlt5q0q5HNGNNtJbPv17BSfy44pO9ogBojL7SJuj3EhiyDufnwSibyjip+bVZTcwsJ3nomVEP5OIY6A7vYVzulrzglc/rcdZ74nniUExDXbnsyz5bOvhbCKiopPBQo6ogtOo6zEOs477rEYBy74uOji1kR+Zt4lIovbL4D5LXNQRDvXcCxicUSUOSTmExRpt1yaZ3xPJEsWfeAat5F8bNGeExL/zHN2McrOOp6XOcbimFt7fB+5ldO8mrnGz9afp4UsO9o+deZmRUVFRcSHdet6vW7kFG2CAF0wxDw7jt1dQUGI91nUzm7XPLuXc1oY8RduWheQsjvM7Y/EU9xoEWcxwd0kiC/mEdbxbfkb74NncueHRSjD98K/fc0R0Yjh5Ho2LPB84Te7sl388n1kpzY5HTzj1nvnNG3uu/yZVFR8rqiFsBbc3NzEbreLu7u7Ehyw2dptRWsFsAIOMXi4PsGMoOXXEZgGg0FjO2PPiAEmsqenp9LCSYCnhYRk5O7urlh6IS6rLxHngO/dvigoRUQj4Ho+F6o3iRHEibOB8+SCW54BYEIm6HpDAt5LguEAzrPy8+K67FRD3YEw7D5wMuS/OyGjMOo5ahAxxUsSy4qKioq/hDdv3sR+v493796VhbJdYY7/Lv7QQjGdThsqLzHQs11Q30luiL3shrzb7WI8HjfO54JWRDPxYFcvhsKPx+Py+pubm9hsNnF/f9+Y4xIR5d/EVTaXsbBh11fmSNxrbuVn4HN2Hzt5suuXpMfFQdAm2HBtJELslub1wGw2awzJd/HLyQu8n5M18x+ve35+LpzCZ2IXtIuMFRUVFX8Jj4+P8e7duxK724SQp6ensjtwp9Mpuwm6OyXiPD5mv9+X9kG7nRyfaLe0YO2uiohoxLL7+/sYjUYxm80aA+vJcTqdTtzc3MR6vY7379+XtkYKeIPBIObzeYm72+228QxcDPM4AgpO5hcLEZvNprQZ5i4Wz+hy8cwO62wA4J65djvleFaYMh4fH8umXOaZPLOT6+n3+yVf4XfZ1Qf/wzOsMygo8rx8rxUVnyNqIawFVn6z8yi7ltxO4dYUb7XrnROx8tpx5GILBSh2ciFwUoTynDCOzxyTiCitmrPZrCy8CXhsmexrsHuLc3j3rDbVgUBMewuv4x6dxLkAxnNzwmGlJ7sRsrPKCgakQRGKZ8zffK0+XnagOaGy2pPVeluU7Zqz28/XUFFRUfGXQExxm7cLOlkkyK3lEed2cosBxCOKS3w5HqIW0w7ugfiIMm1JDHETHpjP54337Ha7mEwmsdlsGjEZnvIwYs6RBxQTvz0/BlHj4uKiPCeenbn4Yy6rzDU5VmdHQh5GjCOAc7pAmbkmwy4Ct1Sak9zGSYGS80REY7RBLYRVVFT8GmRncG6XN6ewpoVviMtPTx92LWatezwe4/7+Pp6fn0v88xwsnF28D2cvv+drPB4XziI+rlarMuey1+vF5eVl4z37/T6m02nhGYvj2+22rNGn02nZCdFiuFsJEc7ZLdF5Fs/C3GwRP4v1WVy3yMHnwPO20YDcDSHMgguvsVBCIZF7t+vrcDjEdrttiPfmC97n1/BeioX+76UWwio+Z9RCWAvc550dTW1W0dxu4d87wXG7iBViu7Js093v9w1VmUAI4djyS2GMRIaZJSQZuNHu7+8bClBE09bLgt5FMLezcFze479zDSggJoePoU0lye1AfLdzwElFToTc8vixc2eLd1tbjd+L+kXhMX/2JGU1OamoqPhUOCnJCnRuT4h42X4YcY5BjoVZiXaBKeK8qLaryjsk58G+LLotHESch+jbcTuZTMq/nTBFNOeAwTMugsEnbW2Q/j3PIA+NtxpvR5h5hr/nBb4TFzjWn0XeKdJjAfLxgc/NuXKhM3+2FnfahKHcYlRRUVHxKbAb1sUv/x4Q68lXEFw8k9EuZLeGTyaTiIhGvKZDZDQaNQpc5h1yGHKniGY7o/mC3drJabge5w04xDgn53H7/el0HtIf0RTS4RnPcY546eTlOG2Ci+N8myPMBgoKVHCbi2B5/Exbm6PXC3nGl/MbeMbiGVzuIl3baJuKis8NtRD2EbjY4laRHBhcSKEYQoWenbQIzn4dVfeIaPR8E4wgIQdtgiM2VlRyF6VISlwYm06nMZvN4quvvorVahW73a7sEML9oIDM5/OinOQWQtA2x4VnQ6LgGSmZNHLxKSeCbbNvCPL8nsLUZrMpxzGpcv0RzZkvJlT+bmeAHWe05uz3+7i/vy/zfLgGCDTiPH8Bt11FRUXFp4D45OTEX1kQINZS+Ir4MINruVw2uCmLOafTqeyIRSLCwpeWEOIocdg7f7HrMNdCMYt43+12YzKZxHw+j2+++SaWy2VxNsE1EVESk8ViEdPpNEajUUO88Dwtq/fZDUdy4vlcPE/O5eeaHRG/tLkJx42IIu7ANTjGLDR5HltEM5miyOexCrntns+Lz3G1WpUdRe0az9deUVFR8akwP7jg4jUy38ll2CmeQhU8E/Fyh3paGMfjcYzH49LOTnxnI6tOpxODwaCIC9vttuQ8k8mkcBGxdjweR8RZ8Kdt8p/+6Z/i/v6+FH3cfYNj+fLyMqbTadkcy64t33fOaTxO4Hg8lliOmzei2aViriFGOy9yvuBz9Hq9wi2Pj49xf39fzu3NYbh+F9bcWeSN2xg7kO8JZ/N2u43b29tYLpex2WwahS74xsaNWgir+JxRC2Et8ByRiGgUdbINNjufKFh5oZ6LarmnfLFYNNTwiDNheSGNEuNj2A7LdXgnFgZVOvmZTCYxHo8LeTw+Pr5QZ1BO8r15Ue7g6Odgl1vEOXFzcpKTj9wS1NbWwvtxZvE8/Cy5didT/vyccBHgrSJBKJAaiRwFRLY8fnp6KsVL1KvqCKuoqPg1yEPUI6IUVqwgWwV2EYWYSQHeMTYXZRA6vFMkvJEVd5RiCwhtDluu83A4lCSBFpN+v1+SIScojtMkTVyLF+92ppnfAK8fjUblns0TvCa/Lyd9LpxxT36GiE+Hw6E8J8QrnqU53c4Iiy15TZBb75nVsl6vG3PP4HKukwJl5ZqKiopPxSnOQrJja3bUenQKcZk1MvmHi0TmCGLiV1991XBvuaOE10wmkyJmO6exYI6pgGIZ8ZX1N84zWh8ZScNOiXApORT3Ray2O7mNK7gv4j1rfed15Elt125HlnOgiGg8f88Z3mw2jfZMnpWv37khXE7umbtb7G7b7Xax3W5js9nEcrkspojcCQPPf0woqqj4nFALYS1wO0ZENJTpthYLJzH8DbXe1fu24g42YgJZnlMVEeXcbjOBpNyzTiAnIEI+VnU8ZJH3e2ixVe6IeBEgs8KQX+OZAoYdXbzGqk+2EHPcbPslEYA0SBI8cwDyc+HOrah8Rh5CnC3PEWcnAOThGWCoLxTCSEZrclJRUfGpoJjuWSH8LqLZWgfMQ3bUOm7mOER8RBnPM0yIx3BDRDRcRyQfjv3ZRUYSAnd4IxXezyxKEqRf2sDE7e1OMoCLd+ZXc42fIchCi9tFMp6fm7PXiPtZMPpYIc+8BXfl5DEiCqftdrsylNmON1+PE6yKioqKT8M5n6GwY4cSMctuX35vl5N5JovInhvJAH0XhxyzR6NRYzdJ5zQuHuFi8mvgGVot4RTnQnCeRX4XAvNXxFn8MGf4WJzP3Mgzs3DFsXIHUeYdvuhw2W63jd2U4Ui72XhvW7ukRy14XAz3h6hDTgPPmHdz+6Zz0YqKzxG1ENaCxWIRx+MxVqtVCTiLxSIeHh5iOByWAONAxEBIFsp2CBGIcoEL4phOp6WgYpsqanre6REHV0SU3T2en59LQrXb7cpivNfrFdV6v9+X1pjpdPpiBku/32+4BVyoItlxi0pbsuGi0/PzcxmejJL0sRk4VuUhYL/eoAiGO4uExFsKcw9uP7UDAgJoawHieaLOr9frQlBOTDqdToxGozgej7HZbOqw/IqKil+Fr776Knq9Xux2u7JIJ+m4v78vO17ZaTQajUrrR0Q0Fr7EbLuV7a6az+clNtKCQdxmce9dvdgJmZjJ4pgkhzmWxFfmtjAwn10lSZC8qyJDjF18Ay4omTfNpS6UUUCknZDkKQs5Ec32IPNcW6sk89NwVVul5zmyi6ZbiHCJ8VnafQ2XeBMCCmAML/7YkGQEl5qYVFRU/Br0+71GzML5O5lMigvMu99OJpNYr9elJZ51N+18LpBFnPOZwWBQBtufTqeyI3JElPhPXkMcJ2fpdDplLf74+Bij0Sien5/j/fv3xbXV6ZwH4B8OhxiPxzEcDsvuvcRn4rCLclkAMic4J4FrLZB7NhkxnDjNc7DT2DPLzAd07Dhf3G63Jc8YjUbli2fKZwP/ULyy2MImA/DNarVqzE7jene7XUPc97HI2VxQq4JLxeeOWghrwXQ6jefn51itVhFxXpQ/PDzEYrFoVPqtgnhB70BCgKc4xN8deK2auCfbO1gybNI97XZJeaaYZ2Dl3nVgJcRzxbwFcE4Y3B7TpoJAVFaNcoEsA8JyW4vVoKzWMN8MdcY7kGVXWN4lzUW37XbbaC3iWiGNzWZTZrWYEJxYDgaD8prarlJRUfFrcHl5Gd1uNzabTUOtZkcn4lFElHiDC8ntkXmAulvsLTi4gJKdYyzSccLm93COzDUkDvALXOedEc2BiD5s4JK5xTHfyK2ifOe9JGhOYoj53APPkOdqLvdx+bedWdkxDe+TZLVxDWo/s0LhcZ4lgo4LYd5sxtyKMFTnUFZUVPxa9Lofdl5ENNjv93F5eRlff/11RJwdwMTP8Xgcx+OxFKDIDw6HQ2OH+YjzxmDmB7fXEUMpsrBW9gYvfr3bv+EHCkNci2dqEmPNizYlWMSPiBc5Sua67AjjnLnw504gczU5WHYy564gfkf+8PT0VIQj7tk7K+dRAXzxzCyy8Gx5lhTAVqtVmWfswp87fhg9UwthFV8CaiGsBbh8ZrNZKXahiCwWi1KIIdjjpoJAUKwJ1m6DJKigFBDI84I34hysrSBkmyrnIOBxDW4zsQLixb+LWsPhsCRCvN/uJx/T15ivtw1W93mdr4vEyNfj52KC5HnYlUcBkoIYP0N+meh4DhCtk6FOp1PIHtUEtwbX7qIew6I3m02jxbKioqLiL2E2m0W3241Xr141RAAG2tLKwGLeBZfszuX9jlHmC4ssbQIGyUxENLjG4g0LbBe13E6DUOPkJ4tBw+EwIqIkVB9ryXGyAtocXv4bzwe1PYsoTlBIbrhuFw+5X7jm+fm5wS8ugtlBzfsz16C8e9A9zxKnBfNa/OzNf25PqqioqPg1oLPFwvPj42O8fv26EX8c272pigsugLzhdDo1Zhp6NEvEuZuFWOt46OH2dpkRez3jy10duZPEMdzcZ8ElF7fAx3jFOYvnotmVzOsc/ykS4uL1tfI6C1numnEOw3gBCmGch/wxHxvBBe7yhgieQeZNxriWnGs5z6qo+JxRC2EtQLV49epVCQKoEQRpWuYizkot7iTPRoEAWKBbIWDBv91uGwoz55rP58UizHlMYg72eUgyAc2tJ7ipOJbtsCzqT6dTuR67rXC8RZwHMnM+kHvLOYcHQntWipV/u+VMGG7TwakAyWKBtmICafAMI85Fx7ZCmDcW4Popgq1Wq9KmYrcGrgyIbrPZxM3NTSWMioqKXwU2Svnuu+8KV7CZCfF2tVrF/f19w5lFnBuPx6V4QnwjRhFPXXAi0YFnSHoWi0XhsYgo8dctJW4BYbHP+SJ+mWtIRE6nU4mdKOGj0Sim02kjdqPmE3fzIj3DsZlzOZGiwOYWQ+7l6empuAlcoMKJTVJCC87FxUVpw4F3fG0uNtp9jMLO71Hd+cIVYGGJoiGfO8lM5ZqKiopfg063E69fv260kns+493dXbx7964IItvttsS96XTaiGHEUo5B8YVYeHt7W3Z2ZMRLp9OJy8vLsvbGGIDIgHDtPAARhVyCsS5wBO4l4i3nZ4YYo2zIEyaTSSNP8Lo/u3qdR1mU4DrIGyz85NZ9cj9es9lsSvdNRJQchOH+PO/RaFTaU+EzcwHPxoUwO8vsEmfjFUS19Xodq9Wq4TQfj8eNfIl5ZXlUQEXF54haCGtBmzIdEWXBPplMig0VeGhkxMuZVFYuvGD3TpQkCe4Fd4851+ZFdu5N53q9MLfjyWozhS/bnvMsL2/9zs9t9mI/J19nRLxQYrgunpFbOCEXkhVgNZ3ky20wng3GF9dn95tbM/MgSK4Z1cRtKtxHdp9h82b754qKiopPBQvc8XjcKIBQPLm/v4/n5+fGzKjj8dhojyQmZYcUsY4CTl7kU9QhKYAbMi/Z5WWXs8UUtzISU7leWtgj4kWxyUr7YDAoxSuSFd9XblfhO8/N4hD3yGvs4EXogmvs1MapwFd+xryfRJJki/P5nG6bcSuP+TU7wTzrLbsWPOi4oqKi4tfC8Ww4HBYBfzabxdPTU6xWqyK8MxeRGARX2BDgLhQKX8wGI955bIzzGDiPmGixnFyE6/WXcyDyAhsOfI3E8YgofMT4FwQlFwPdlZIFGOczdgAfDoeIaJoQPDMSjup2u4UrOp1OKYJ5Dqg3kCGngWsyJ3Mcngn3ZrGF+8cFRk4D55rXLLThIKs5TcWXgFoI+wisDhAc2eodFd4L6Fw5z1ZZvtwi4i19CTj9fr+oFgQzXFUOygQrt684GclFKRIZF3Y4blY1rPqj/tDf37bDF8fKSQo/e/4L1+P3czzPsuF8vnbPHnBikwtikFtElOfysbYbni8g6cSqnMktF9xQ9mtyUlFR8WvBInc8HpffdTqd0m49nU7L4NuIswOXeNpWCCOu5YU0O08BHLUUqSLOSQLHiTjvgBxxdjxxvjzbi/d50K4Vf4sTxHJisIcH83cSMbuHnbD4fjxrzNfqohTx3+07bl/BEc3f8zPOX3Cij+n38FnxHHg+PAN2pLRbjPfkFhqSkzojrKKi4rfA7fWssSmE7ff7suYmF4g4r5VZ99rhxPq61+vFeDx+IUIj4sMzFubhPI6B0O1jc37HfAvXuYWP4houspzLfOw8btF3HuVcx8KPcxf4w8K9xX2ulTwrF5x4zrkF1LkGP/uYEc05ZX4m5hzcfXS42AxBvsTreT641GohrOJLQC2EtWA8Hhd1g0BAdXy/3zd2KHS/vPvdUVtcLHPwJDGx6m3FgWGWnmWVFRkrICQEEF0u3GAX5nUOplY4fK0QDF/Yd3EjeHCjnV1ZFee4nteVCYf3ucVnOBzGZrNpWJe5F56fyQJnBYQMKfBeVDAUeKs6vP5wOJRhkp65k51nk8kkZrNZbLfborRU0qioqPg1WCwWMRqN4vLysixOV6tVKbK/f/8+Hh4eSusCjqGIczycTCal2OQ2/KzUE78sSpAIMWyYdgjiuRMat0r6GFyL+Yn3ZJXdTl4SkU6nUzaCgWvgRVpEXXjLs9EizsUxfibWm/e4bhxhzLSBa9brdXS73VitVqXIhWNiNBo1WiHhGa7Pjm8Epn6/X4bgu2jnYh+7RLKOyCKSv8PHFRUVFb8WF/2LMhg/IkqeQpwajUYxmUxKG7znUPFa3MXOJcDV1VXhHeIkcZ5iGLv6EmvdWm7n1GAwiPl8HhFNUYC1P8em0MYYFQsvvNcOW4szCBGYD7zBWHZ9uYCV8yTORY5oEeT5+blhPvjqq6/K5lrL5bLkHRQSef5+jt5Bks+Cc3LtiCnD4bCRR0Z8ELdub29juVw21g8+D+IWnz1zkmtOU/EloBbCWkDSENF0UxGobT813HpoMvBOIgR8JyVucaQAZUXDM7JICNxqgVstq8ke6st5fWwCvws8th9zbLvOOLeV/IjzLJdMWsCKA8mMnWFOamz95d8+ptt5KEr6Z/7ma+I5RERR4SGPiCh/systu964j36/X8hpuVwWi3NFRUXFrwHJB0UsFrrb7ba0K9gFZpcxvEE8mkwmJQ61OWU9o5LFrueMcNztdvsiCUC17na7ZUt7zpMdUnar5UHziBYWbEi2LBTxb7sSMifaTZzhY5E08DvzGomauczXNhwOyzw1nNrEfgticL+LcM/Pz2U+C3zz/Pz8wv3nIl5b4sEzonBXUVFR8WvR6XRiOp2W9S1zEYlTeeyInWG0SQ6Hw5jNZrHZbCIiyq6R5hoLHeRDnvsY8SHOrdfrsnaPOLuAcSrRKh9xXnd7cHye72Xh3d0ujq0UkdylQ/z3WBbzUhbtHaP9rBBY/Hcfn8+A33vMDBzDl/MYd+IQ/ylg8lwRsjabTRmYjxkjc4avwSKXTQt1t8iKLwm1ENYCAq5V691uVxbP2EYdYFj0U1Fvmx+SC2FemBN09vt9KfQ4oFKwye2WvJahkBRwSDz4W05sIqIxoJLX+5xuK3T7pRMRHzO3ruRAyrF+qRDmwhrP1w4y7s2FLxfDTBwuoJHA7Ha78nmSpHQ6nZjP543r971xDfzNhbAffvihLCIqKioqfg1YAI/H47IA3e12paDk+SkRZ5WXeMwCPCJiMplExIfYCe84tltEIV6T4BgM1IfTOCZxdTgclvleblEnLlvkybNIcI7leWW5ncNFwbY2SNzWuSUTuHDmWS3mW86LuAXcJuPC13g8LvziYhiOMCdro9GotFiy8zDObs+JaXPX+bm47aU6wioqKv4aIJiTx0REKYR5UyjWuXSCPDw8FH6Zz+eFQyj+2OlLzCJ+R5zzGrtcGb7v7o3T6VTct5PJpNGS6LEn3hQlIso8x9zl4dhPzHfuAez4cg5id5UNAlkohwPbDAK58OZ2TN5vwYXiVv6iA4nC4mAwiNlsVo632WxK++PDw0NcXV01RB5yU8OdRfAX3TCVayq+FNRCWAsIarbUsjhGScHuiopgNYJWC4I5wc8LbL+WrWxPp1PMZrMyFJfWyel0WoYeUrgBbj1Bqc8q+uXlZWln3G638fj4WHb0ysdw+yJ/I7hzvagMqCu8hpYWkAtvBFeSE36X229IiNjZxFZedn6ZTqfliySLRMWFRBPz4+NjvHnzJt6+fRs//vhjLJfLiIhGktPr9WK5XJaklOv385lOpzGbzWI0GsVPP/3U2DShoqKi4lPhAhXxzzvStimzeXbIdDqN4/FYVHra+exOIt4S/yM+tGWyoyQL64gohX2r8VbeI6LBa8T/wWAQr169ivF4HL1eryzIt9vti0IWxTHDbThwJC2MuBXcXsgC35zDcdwCw7PyzDALJLTIWJCi3YYxCcT8j3GN3QR8Bm/evIkff/wxfvjhh1itViVxZG3Q7XYLDzOPJYtr/LcBZ9fkpKKi4jehcxYLPNrk+fm5zB50/mCXl4s18/m87ObuTVAQ3CMilstl2eH98vIyDodDY+0+GAzip59+isPhENvt9oUY0Ol0Yjwex3w+j+fnD3N7XaxZLBYNntnv97FcLhuOsIgouYZzGoBxwQWmx8fHck8UqyLOpgF+n4ta5HzkZy4+wXWn0ylubm4Kn0VE4d75fB6LxaLkFVy/N7TxOmEymRQO+/Of/xz//u//Hn/605/i9va23BedQF999VXJUTyCwJzOOqHX65UOl+oIq/hSUAthLWAnFKvTVr4jzo4lgmtW3SPOu0Pm4hWBui3QWLEmWEFAIC+GUbQJkj4PC2+2p+/3+2X7dc8A8NwZXwv3ms9rpabNPWXbL7/LX7zPjod8X24LciunnV9uu8mOOa6bredvb29LgY1jTSaTMuvl4eHhRcuqFanBYBCLxaK0Xq7X6+oGq6io+E2gPZE46FYMz9tygYg4RJzi+2g0isPh0BBvPCMyoumUslBBW1/eaMTxmt+hvgMKTczOms1mpdhDgck7WZEkuLCVkxeeg+FB9HmQcy6yWbnPaHMEcCyeJ++3Y49EwS1AfD6Az2m/38f79+9jvV43Pje4BjdemwPaYw3Y3cxDoSsqKip+Cxxj4RjWvjh48/B2twramQXcTsixs5sq4jwvC8fseDwuRX6/LyIaXTgW5blmt6qTm/k4HsrP+e3g8piXx8fHhvPW3EIOhlDh68nc2Pas4VS7o+0i846aOI39bDM/8H4EooeHh/jpp5/i9va2kdPAW51Opzi8bWKwS9viTEQ0ZmdWVHwJqIWwFnysEOY5U3lR75YPB1zvKhXRnPMCCIoR0SjC0GIJWTmZsXoNwTix8TUxhBEFpdfrlcCeHQcmhOzo4r59H54XZpWkrbc+H4N74f7bWld4P88/Ikrg5stzCXhGVjxQ05fLZdzd3cV6vS6WZRQuSMPXawcbRcXxeFyGgj48PJThnxUVFRW/FhTCWKgSaz1vK8dp1He3iNBS4t1rHVeB+YkhxRS34C8Uccc/cw2Jg2Oz3bqz2awo1sRJNn7hOLh1s0MawH9uz+TfuK8yB7e1F3Iunoefifnd92ERh+TEhTAXH7lWQBHMXBNxbtOhSOhrc6EQruHzZ/4LDr2anFRUVPxW5EKY3a0UWJgjHHGel0y8JM57dAtx08cmf2LdbJ4hj5pOp9Hr9cqOuRSvIs67t+d2Q48lGY/HpdWz0+kUpxVihEerALdnuhvF3OHNVXg/cfpjbez5PPm5mEPhIJ4lrjXyGbjNn5d5invd7XZxd3cXb9++jfv7+zidTuWzmUwmZZdO7pUNEFwIc0smXVB8HhUVXwpqIawFtI84CSBAsJNG7hVnlxO7lCLOQ+JpN3FAo/r/6tWrhtLMlrrr9frFMGKr9bRaeBYZyQtBjkHMLNwJrE9PT6WIQ4sjJMHraPngfE5UMvnxGisWbYo7x7dKQ0LH8XhWLubZlUdLpJ1ceY6MNzNgMDTPhWdCQjmbzUrS8v3338dyuYzNZlOcc7gtZrNZXF1dxbfffhv39/dF8a+OsIqKit8CO4YiPiymGazuLd5ZmPb7/ZjP5/Hq1auygHXSEhFl9ooLVZ49AtfgSjocDmUXL895sTOKY7BwJjkhaaK9g3N49hXqPvcE13ANJAQWYSwmtTkOrPpTSMzg/BQT4WkKjBFRONBzzigE9nq9mM1mpbDHs3YxrtNp7kTmnaMHg0FJ9kgOJ5NJmeXy/fffx/39/YvdOnnGiFjMfamoqKj4rTg+HUth3u6gTqdT4ptdXNPpNK6vrwvPgOl0Gt1uNzabTWm1Y+3vnMZ5B4V8OjIo1jhPguMWi0XjnHAU8fDq6qqxoZlb0pn7S4sjm5bkNvrcbWJBxnkEryN/+JiLOCLK9bjACBcul8sS3+Fp50PwDPmM3WZcm/NHOAbXMrtP0300Go3i9vY2bm9v41//9V/j9vY21ut1MQHA2ewEenV1FZvNpuQ9tRBW8SWhFsJaQBGFuSSoE/f393F7e1tmhLG4JWh7WLuDIsHV7R4EIvrgWWAThFBmUN/ZfdJJEcdnwc9iPycNzBbjPijoQU5ukYyIxi4lnhnGv3OiExEN8og4q+RZ2SCJ8HvcxoPaYZLIrSKQdm6LtPJiay8EdnFxEZeXl2WmDtd3PB7j5uYmlstlrFarsuuKn6eVk4uLi9jv93F3d1fIqaKiouLXwi3txK7NZhO3t7fx/v37WK1WpSCPGo4AgFuJJIA4RTsiSQgiDfNZ4CYLPsyq4vXwjFtcsthA3I44Jwy0lnNM2jf4MtdwLsQOjg3XtIkz/gK5jcNcYz70v83PFmdIQuCc6XTa2MXLSVcuyLlNpt/vx+XlZYzH43h6eiptjWxlf39/H+v1ujEvxlxnQccCXEVFRcVvAdwC2M2Wwjw8QwF/Pp83eIa8w7PAvNkKhSpEaviHDarsSqKDxfETwcVf7sbx2p4uj263WzgGwRtOY84V3OlNWlizE/MdcyOiwQl2kEXECwfZx7p8OKe5x90rNjjQ5sn5zFlgt9uV++Fa+v1+XF9flzzk/v6+PI+3b9+WNYSNGFyz516TJzKHsnJNxZeEWghrAUHbA3SXy2Xc3NzETz/9FMvlsixMWbBPp9My5NiOMAIfCoyTE8jmm2++KQHp7du3RWX24hcVPisZGbkwxi5kKCL7/b6xi5VdBy5SEaABrYQmDSdELoqhoLT1z2cFxYWwTBpWaXgGtN+44OiWVM9ScTEON8D19XU5H9sNv3v3Lt69exd3d3dlUCRkAGFhwyZxI1mtQyUrKip+K4i/jsP39/fx7t27+PHHH+Pu7i52u11JUBBOLLx4mLF3O6b4z3sWi0VcX1+XOP/TTz8VR6uThraZLeYaixve9ITB+CjfcIzFFxfBHJft6sXpbB4FbW04dmm3JTMRZ7W+rRBmnvFwZDjac1x8TeYangmJ23A4jK+++qr8HpHlp59+irdv38ZyuSzPh+JgW2smbaXsGl1RUVHxW/B8+rABFdhut7HZbOL+/j5ubm6KW4j29qurqxL7WPfiNqJlnfZFYt5isSg8Qyz/+eefY7vdFiHfa+vcweH4bf7BHUbr+WazaTikEPsphMEznc6H+V5069CK6AKZxwuY28jtwC+t9e1qNufY8WbBn/MjsM9ms8bz8CxkCn8eLUBRcjAYxNdff12uud/vx93dXdzf38cPP/wQNzc3xVHHc4FnzGMUwWohrOJLRC2EtYDBi1TRHx8f4+3bt/HTTz/Fjz/+WBavJB8sngnMp9OpDKc/Ho+NZAXF5PLyMiaTSWPmGAFps9nEcrksNmYKY3YOZOWeYxDASXbYkZLACmGgRhP0TELYiUlGSFo+Now+98JzzW3B1O2Tfi/HdB+7/25liFZQvuc2HD5DFw5JCE04/9//9//Fw8NDvHv3rjHDxvPJKLwtFoviDoiIuL29jTdv3lTCqKio+M0gtt/f3xdF+6effoo3b97Ev/3bv8X79+/LAtxtfW79ns/nMRwO43T6sJvUdruNi4uLWCwWMZ/P4+uvvy67UfV6vZKMPD4+xna7jbu7u1itViUue4ZVxHleGYU67yZp19Z6vS7Jhbnm/v7+xYww7t27CDsh4RhuEcnKupMdOwp8bAqCtINEnMcK5FkygNd6bgvP3sU1z1rxuWivZO4kCePj42Pc3Nw0Eji37XDPPP/n5+eyq5oT2IqKiopfjVM04shqtYq7u7t48+ZN/Pzzz6Wo72L/brcrfOPCmHcins1mcXl5Wdr1ae+3q8lzEyOiIYRERDEJ0Pni1nt4hviLYO1iDhxKnI04CzZ0ciAmUbij3dI7CnvepIURc0ueFebB/Ig8cIKPy337nnHXudgY0ZzlBk/5mOZq5kdTdHx6eoqbm5vCTTZ0wDO4/CLOmyI8PDzEer2uhbCKLw61ENYCgjeLfgYTOsi6qo41mIIUbSmQwnQ6LSRDiwq94J1Op1T7Gb5On7t3yfLweYJZW6sK1+bCELtTQWgemAj8nuzKci8+BbbsFrCS04a2wJqTiogoLTRWQHLbi7+s6PvvHojs5GQ2mxWiXi6XcX9/X9Qqux44Np8vSdHFxUXptd9ut5UwKioq/mpYkWVWx3a7fTEkuI1riE2dTifm83nhGgph5hriK2IIbf5ut3eruVtEIs5x0TMbHWvhLWaaEMedDERE4/g+D9fJcd2O4mKYW0k/Jr7ws4tpPDNccLSRuKWmzV3mezff5vYVrp1h0MzihGsQpjKyG4xrdTtpRUVFxW8F8dEFGnjHnSAMTiceekA+a+DFYlGEjsvLyzLXi7jO6BjEeFyt8Aw5jYtlbW3ndkixzkcw9wiUXHDifv1e8iF35bhjx8/IhSjnOlx7dq7xPXMG+RccQzzPMd0c4mfg/A5utCmBtsrj8RibzSbu7u7i9va2tMD63s2xvm/EOPiwouJLQy2EtYBARBCjOEWC4R5vWicizskJygOK8OXlZSnGXF1dlTY7gh/Jz3a7jdvb29hut+VcdmC58GNVJs82ycOF89b1ntHFdwKj53/xN/eTW8XPqg7Xme3DHyuC+QsiczsN5JGLdiattgIe1wtRYueezWYxn8/LfK+3b9/G27dvG847J3oudHprY5Ia3ldRUVHxW0C8wYG8Wq1KkZ1tz1Gtae/wjJCI82yWbrcbr169KvH81atXZZ4iMXq328VyuYztdlvmh+QEhesyJ7jtIw/Ud0ujBQwXwBy/OS7fM9fAQW1JBXDyw3sjmrMpnaAY8OFut2t8ce0fK6CZU801OAr4Gy2Vs9msFBvfvHlTWlE5Fs+S4+dZNc/Pz2WOW0VFRcVfg47W725TJ89gxAjdLPAC4gut+f1+P16/fl1yj+vr6zL4ntjF/DFiqztQIs7xGx6AbxB0nHfktkMX9Dys33Ma7bD16BTnP5wrd7k8Pj6+cP26QyWinWf4ux1h8Aw5jQuCfp8dWx/L+Xi+5gsEF8bd/PDD/9/en/RGsiDZ/ehhBMmYg0HmeIfqodD4C5A2wuuNvtX7XALeXgtpp4YEQX+gC+juquqq0s17byZnxjxzirfI+lkcd0aWurvyjmkHIJJJRni4eybM3OwcO3ams7OzyDOenyGWdtnb8O+FT1wi8SkhG2E74IwzzDmz0/hFMTL3+vXrCCrL5TIKF4IM43vIV2mm8HsCL+MPbIhyRoUHZo7jXiWMuzhj4t1+V2+VRyf5HoaB4yHRdQ8UAqofHzWbsybIeMtBvnx/KRxIMkhyy+bK3rSjUebqhDLb4/cM8G/V6XT08PCg0Wikr776SmdnZ8GeuFLO5cPdbjfGitrttg4PD/Xb3/5W/X5fy+Xye/jfmEgkfq7gARjCha1abDKk+dVqtfTZZ5/F2vrFYhG5hljMGF+j0dBms4mtVWCz2YTnFKpWHtLdqJgcx/vJN+QeZ5RpWnEtZRCfYfGJragLyCt4YtJA433eFCO+uxrAlWz8bhczT16AWHETel8mwzmTe/b29tRutyUVFWGeU8vNQ3LF3d2dRqOR3rx5o/Pzc/X7/WhswcBL24KGYs8NkUejUbwukUgk/q2o/DFfsKUWFSwxjufkzz//PJr78/k8cgsxmRqmXq+r2+2GZ2/Z5sSXg2D14iowV85KCsK50+kUSBLiIwS11xeuJqOx5f5ZLNfi/Khn1ut1xFtXvHmecZWZixKcuOdaUcFxDtR03AOUYDQgUaTd39/H5mjqDPKOtLXboS5xdRjeYvf395pMJvr22291dnYWfsfkNhbh8B5X/CHIQICRpEviU0Q2wnaAoOUjegQi3xAJc0KAdVadzYcUHr7VRFIEVg+qBDxAsuDhGpbZu/x87yy9s8x+HGnLjqN4+hBz7iyIJwJnxUlM/uDuf/djeeLaJV+GJXFFQZnhISnwOrY3ltUD/r0zXdJ7X4ThcKjr6+uCEmLX/aL4Q8FHEToYDJI5SSQSfzYYyy5vWJS23ia1Wk2dTidyDc0cSdHE2d/fjwdtfs9DuJMOHlvLjRzfYNVqtdTtdgsKJS8cXInscRo4ESGpQMxIxTES3uv5xlXNPpK/68vhn0Hh4M0xyC1yiI8JeW7kZ4eHh7EJk/Mqj0cCV9E9Pj5qNBrFgh2ajeUmGu8jt/p1suhm1yhlIpFI/GtQfjYnruBneHh4GA0xqUgsVCqVUCgTl3gGZhSe37lqic/l7z4C7ktcfKrD1V88u+OHLBWnSbzWqVar8TxfrqO4Hq9VXB1FfC+TLryvrDz2XAHK+RZfzHJjzV/P32lMkce9xvIc42QNf2e5zsXFRUE8QA3rdalfLz+rVCox8bSLzEokfu7IRtgOzOfzkIq6wS+yYVd5wWbDsktF48b7+/vozpOInMUnMXjgdV8uuvjdbldHR0fq9Xo6ODgodPoJls6e+3m7vFYqzr27iqpcJHmhge9Z2cPFmfld6jPp6drh8py/FyeefLzAItlWKhU1m80oAGk4ehHCOXJv3WD66upKZ2dnOj09DdUFyYfP9WIPJRks1Wq10uXlZarBEonEn43hcPhEdcyDdLvdDpVXq9WKGMa2W+l9XIZpR4FE3pFUUIQRJ/2B38fIabydnJyo1+up1+sV1FrkD/fyklTIXdJ245WPFvIZ3uTx+F4mU8g1NIZcDUCe2NUg4vhONEkK5fLj42NhUyPv8TzoDaparRaGzVw7BZqbNfu4ivSe2Dk/P9e3336rd+/exbgNI0d8pqsefFSSe86/cyKRSPw5uL+/1+3mNhpbxCSUSG6gfn9/r8ViofF4HM/n9Xo9chQj9TzTewOMuFkm6lm4ArHf6/V0cnKi4+PjaGJhYA+8KVbeekg89TqHuO6q4bLQwOM8kzWQ3N5gcrUx94T4X84zAI8tVNvcF47rTS5fVobPF8IJcjXn5lYvj4+P0axcrVY6OzvT27dv9dVXX+n+/j7U1pPJpCAacIKfmpN7PZvNshGW+GSRjbAdOD8/13q9DuUPDSekwxQTjLCgYmKzB0FvvV5rOp3Gql8e3n1unaLBmQFJEazwtXr58qXa7baazWYY8HJckgxGvARL5LeYQvpII8ni4eEhxmyq1arq9Xpchz/ksyjA/cGc5XePFOlp84tCzeXF5aYXPweuNiApoQyTFNfuKjgP5NxjH3E9PT3V2dmZRqNRQUnHeUjbYsdHKk9OTjSbzQqy40Qikfhz8PXXX+v29jZG4BiJx/+RGDgejyPP0EhhnENSHGMymcTviY/EfYoHigTiPfmh0+no6OhIX3zxRSx0YWwdvxcepMk1HpfL4478KSk+c7FYFJpvxHf3CoPJdk9Oig9ifDnXuHKY0RdXL/NZHIdzdoad72n6USwwMlL2NPNGGkUZpNhyuYxRlX6/X8i9burso6M8H1Sr1QKxlkgkEn8ubu9udXZ5Vpg8QQ0mvc8h/X4/GjTUNjTIqE1ms1nUHny5TyXqJvIV5DV5ptvt6uTkRK9fvy7kC/fHpFk2Go0Kz/+MQJL7vLFDbmMs0e1eGLd3w3l8ISGTOD+aYD6O6COXnMfj42PkGRcgSEWjfhcMeK3hVgGPj4+xJI36ii8nczwvYRVzenqqt2/f6vz8XM1msyA0oDHohD//JlgoUBvlWGTiU0U2wnaABhdeXTQ9yvPv5SaYtF01z+vKZu+81x/k3TiXZANzQiOLJli9Xn/ykM9DtI9fEvzKoy+uRIOhIeByfZwHLAIBvyyVLo+/uMqgrOji765GkLYqBd5fHq+hcHBvlvI4I8fwz/ERFJIapp3uicNxymOpJFHuP8XfcDgMViyRSCT+HNDgQoVMbvAmmI84+AM6zRdJ0YCheVRWTBGLnaHnvZAzqJzb7XaMgzN2Sd4oK3j9wd/ZcY7NebJB2ckHf9hHzUyDqKyQLucaVzl7rPdz5HycHPEmmKuWOR7fS1tPtTJRU6lUnuRwPpcGHsUiJJo3urwB6HnIzzE3eCUSiY+Jx8f3GxzLSiae8yFZIDjcIB6PLuoeV856bPMxRbd2IdbSyMLfyn0RyQFeM3A+5SaQ1xmSCjUN11ZuJElbhZm09d+CNPLmlBMrHLucZ8rjn9wL4J/LffTjcI9cyea5jpzitYnXKuv1Omqa5XJZGL/06R6vscp1J01D7kUi8SkiG2E7gKSUzV0w6wRaAg7BmUBPcYH5o8tr/cHdGQJJwYpIKjTCeL2bF2OmSKOKpECzCmNGSSEnRqrsXll4wTDu5yooGkDNZjPOBfbEj0/B5kUNyc6Zbx+x5HjSNgHvYu35O8nBj+HbbGj2cQ/4XFccMEKJOu/+/l61Wq2QNEhEnli53ywkGA6HOjs7i6ZgIpFI/DkYDoeRa2iiwEwTx2iEuTckeaHZbMaDPA1+qdjMgQFGBUaecnNhJ2NarZaazWY0rxjPcAICPzNY5EqlEiOEvMcXrBBDl8tlQQnNF8tkUI0Rl29vbwuj7z4W4/nGiZdyrvGGlxda3CcvaspqNTy63B9N2iqeycVlwoWtwigqyrmmbAPgBQrFSSrCEonEx8Ljw+OTPMNzME0RDN+92Q8RLxV9rYiVxEbiG+8hXqM4k4r+ixAvtVpNy+UySGcnGai/OK4TKdQ13rSiphmPx4X8wntRpu3t7cV9cG9Nzr3caKNucvLHm1lOvHyImPd7xvvJM6vVKs4VIQW1DCDPUIehGmZMFeUbU0w0wzy/8dnS+0YYKrwci0x8yshG2A6glCLg+kifP/y7/xRBkeDuQZaA5LJcV2pJT2fSy55XeGLxWoogD9YkDUmF8QsKHQI9RUq9Xo9NYHw2RsleuCwWi2gOOhMkKZpmvvXKlVa7VF6M5NTr9Qj2y+XySdHiCwtc6SApmo++AtmVAJ4c3Ywamffh4WGou1BS+Gcj4Ya1ms/nury81MXFRTbBEonER4E3QMoPzfiFlFVTjKnU63U1m83CchfiJPHQG1Ou8HW2mBxDTC6rbvf399VutwuEBI06N5znffyO4oXxFLZQ8vN2u61Wq6VGo6FqtRor4MfjcUGRIG0LCK6j1Wo9UXO5WTLn7uOf5ED3UJO2xIwXRZ5ryKWNRiPe42M/XgCRy1arVRR2tVpNg8EgcqkbGHMvvSlJcZP+YIlE4mOBWEyjiVFGYiJ5gkYQDZlGoxF5hkYMz+vEVBpc3nja1fR3AgRCnZrl4OBAR0dHoSauVqtR8/gYvo/4eRytVCpqtVpqtVpx/M1mE5uXqVF45h8OhwVCxOsyiKJms1nwcSw3uPgTGxvy0nq9Do8wn7bx8yYPcG3kC+6/pPALc481/g0g+FmkNplMNB6PQ8BRNuavVqvxb07ems1mGo/HT3w+E4lPCdkI2wECl6u4KAIIGM5SO/PtUl8PlC4fBt64ISB6g4wCgqaUtPVakbbyY0mFROPjIC4zdlkt5+EJT9puDoPhQX6L2sAVB87GA/8Mb5rxWhIh8ui9vb0oKpAnl8ca+R3H9MaXX6Ofm7Muzsb7LD8NMJcFu9qChuD+/r5Go1EWJ4lE4qOjPELhDLPHeo/NrrLyeFtW3xLnPSd5ceLjKjTWyg/8ZR9GztFHVaRirOXL4zT5kestGwFTYHmuIc94047PKuc0z8ve4IP84HPJM64Mc6uDMunCvfPP89xDvqaoLCsY3DfMl8L4vzumz5vN1o8zGfpEIvGxsFfZ1ivu30jspQFEfoE44Tm9HPdoAHnucVsUSAVvLvFcDbFSrolcdcvfad75yD9fHssxvN/b2wsVGkQDDabNZhO2Nz56Xh4ZdOWU52I/Vx+nL9c0fG75dZLivvhWSe4dBD/5jn8X7jXnwug8Kmxeu1gsNJ/PCznMCaOy2oxmWjbBEp8yshG2AwSk8qiftJUGU5D4yKEb3zqDAVyp5J9BUKPZw7FYYc+mSP98L5J85h/mgGBcLhg4J4JpWbHljTW2k7mvVrkw8lEVT1KeoLiHFD6Hh4dqNBqRmFAdcF4+Aw+74WM/nqS5ft7jM/38+xHsuUcPDw8FSTD3hH8TRnVOTk7U7Xa12Wx0dXWl0WiUjbBEIvHR4KPtUjH++ggKPi00dbxgcGYcML4IiIsoY2m0EJdZCPLs2TPVarU4hje+/Lw8pnvc9zzjDS+2gXlR4H4oxHoKFC8OKEz8+125hvP0piGbf/08eT9FiBM+FCie68i9nme5B5vNJvItTSzyDe+Zz+eaTCZBvPBvTcORfMMYJkqCRCKR+Fjw51u3VimbpPuzupMdNPg5FjEX5ZUTEcRR4h11SbPZ1IsXL/Ty5ctCg6tMnHtjzZXMEBXlje/UTBzTcwvnS7OIugYVnNc05FnPbRDxPqbv4/m8FsWzpILHMvfl8fG99+N8Po+GlRM+7pNZJpR8ZFOSlstlKIyl988Ao9FI4/FYy+WyMBbJcwKjoxwfJSDHSCQ+VWQjbAfG43Fs0nCVFgGEggTfLlgUZ6s9aZQf3AnwMAJ09n0zSqVSUafTiTX2kgrv9/EZN0aUthJoHrLb7XZhdJFgTgFBsirP88OQe2IhIHtDy9UCrkrwJpz7ncGSU4g4O0LSubu702QyeXIONB+51yQnPzYMENfmyq9+v6/r6+sYVSnfc0ZOO52Onj17pkajoel0qjdv3oSxdSKRSHwMjEajyAHAlVssSGFZCsy2e5PwkO6MvPtRURA8PDxEo4ZRCb7IM6yyhyhh3JB8QV7zxhMsc7VaVafTCXsAH5Mnb/kiFzwoK5VKNOf4LIocX1jiuYbCwskl8g/FE3m57AVD3Ofnd3d3ms1mBTLKR/ghafg3KvuUMQp6e3sbira7uzuNRiPd3Nzo+vpas9ks/j38vnONtVotTIun02k2whKJxEfF/d37ZomDPON+uPg1eq3g3lQPDw8RX/G38udi6hR8hT1fdToddbtdHR0dRTzks6gHqAVcicUoJ6N9vV4vFMyei/wYxHHew6glailXbPkYOzG/rG6TiovJyDPkJY79+PgYTSofG72/v9d0Og2iw/MMNZqk8NF0cYXXbIvFInzBVquVrq6udHFxoaurq8gzNB9dFADhQs11eXkZ55hIfMrIRtgOsMGrzKh7U6ysiqL54jJj3sef/rDuyUVSQQ1GI4vRvMPDw3idN5rKDSc/V6nIAPm5OrtfLk68qPDxEGc/UMG5FJj7wzl6cuILdsWv//HxsVCAOOOza2zRj+WNQS+AuFauzWXak8kk2PlyQcc1MnPfarUi0Q8Gg2CQEolE4mNgPp8XWF9IAm/qeOz2EXxpO+ZXzgPEPH+Q93ELJ1MYV0Gl6yN55dwCXHnLeUKQeL7xXEP8Lx/b85hU3D5MjqFI4Xc+ouPn4z93uwFXGRP78VlBJeCEUjlPllULZTV0WQ13e3sbqmMnefxcIaq4T+QoGpWJRCLxseBTIPgOE5dcJea5xrcSO5zg8OkU8hix1hW4KJIgsn2CYxd57rHdcwP5AEN+UK6rIHvKY+0cs1zT8MUYPTHZ3+fv5TMhjIjZNOLcsJ58400wrsetdzhX/u7bl/k8J5VWq5VGo5FGo1HkMHKRN8JcCci9oFGZI/iJTx3ZCNuByWSi5XIpaTuzTqefLr6PSnpXf7PZaDqdBttLIPLREYCk2H/uBcDJyUkY4tMkIplxPp4IQHlM0B/ky82k8giOv5af+aZJfMtohJU3oAAvZgjq9/f3Go/HhfMsN/RIIoyLcm9dkuzsDKwUhZgr32Df9/beb4gZDoe6uLjQcDjUer2O8/VRmlqtpqOjI52cnOjo6Ejn5+fq9/u6urrSarX6CP+7EolE4j0Yz3YjeOKMj5qU4zKbiafT6ZMRcZh7LyY810hFz8Z6va6TkxO12+3IdTxQu+KYh3LGAd2oWNLOvEgO8GKHz/cmGO8nnhOPUSlQ9LgSuux/4u+n6PC8Qg7y72HxV6tVobnF905AuY+X/3txvV48jcdjXV1daTAYRPHD+bqFAc3DzWaj+XweioFEIpH4mLi/f7+dmEYUz9mr1UqdTqegXKJBf3R0FDUNGx2ZxiA/+Kg3jSFvkFWr1dgOeXJyonq9Hu8lR+GdeHd3VxgRJJ5yrtRGnCvbL12YUG6ouTjBx92pH7AboBHG9ZXJJFdWcQ3r9Vqj0Sh+T670/EvtBuHiCwlQnrkdAIo8Hwt1ksc9nMfjsc7OznR9fV1Qd5UtBdyEHxU5dVCS+4lPHdkI2wHGGzyo+pw2gRL5baPRUKvVCpYerw+SjD/oE+DL3XuCItLkdrsd8+7z+bygHHB2n5W5BFsfuZAUviV4kflWF4oISaHy4hqcVfC5d47tc+c0mygUXG0gKZIcYyncS+CNLleN+WgN1+KyZoK7b/CiQefnsF6vNR6PdXl5GTP0sC4+hlOr1dRut/XixQs9e/ZMh4eHurq60jfffJPjKolE4qPDx0e8KcTDuY/lPTw8xFZfRr+r1e0mRHIK+YT8VWahiemVyvt18r1eL2ImmxvJNV7ocD40y5xAACisyh4zHsd9BMWVxMRgzpFmUdmPhZ/7/ZK2uY4ChZwpFZcGSEWG3XONN+jw63KCxY2myZc+frpcLjUajXR9fR2ekuXmI8UU/mWHh4daLpexLTKRSCQ+Nh7+2KQCEM0830O0LxYL1et1PX/+vGBlgmUMMZY4yWg4sc5VtRAtjUZDx8fHsc2RL5pF+GVtNu83wXMcYqdbttzf32symcSxyUvUUJJisoNnepTQZcKEfODj9u77RfPPF2154+r29laz2axwHyQV8iJNMMgU7qkrtX3LsBM+vuXRFcXkGYj66XQa5871ey3IvwH3GrFHKo8TiWyE7UR5jIGmikuHpaKhsbMYMAIUBRQmJBw+g8TD+/nTt1w5S1NWavlIBWN7BEMksFJxVJFz9qDOdXpDiuv1okoqNq14Hw1CGBdnYihK3LeGRpgrHlyN5uOjwI/ncl6/L14s8e9wf38f8/rT6bSwVtjvAYmv1Wqp1+up2+1Keu/hMxgMco4+kUh8dLiPlzPWNIV4KPaiwJldYj/eX8RNGmU+luEEhG9TxHwfpthHBL24kIqjmK4qK8d8H893FUG5oeWjIfy+rPIqj/qTg11RVs41rv7apVZ2hZ2fr18H98OvHQWC5w0+B8UFxBWjMX4d3gzj/lcqFc1ms1gMk0gkEh8df4xn/oxMHvD4D8HOMz2goQMZLW3rHhpNXju5GommFDUS8dJrFPIAjTC3InGSokyW89mopIjvbpUCnMznuJ5/PEb7feHz3t/GTeRaz3nSVhnstgB+vX4uvJ685TnHhQGuCGPsnnqGmsbzzK7rwANub+/9wpz5fJ5jkYnEH5GNsB0gKDnTi0KL4MjvUSC5n9RkMtFoNIqHW9iBTqcTgc4fwvmMw8ND9Xq9ME4sP+hLKjAVtVrtSWICBHpYfhIIjJAz9WVvMB9/JLH5l4P5eows+czlchljNd7w8wBfLk64f17QlUdbfCafzyGZ+/1hqwojKjc3NyFh5nWuAjg8PFS73dbr16/1i1/8QsfHx1qtVjo7O9Pbt28/3n+uRCKR+COI3TR59vb21O12wyAf5dPDw0M80DKuslwuNRgMdHNzo/F4rMViEfGPWLyLgIB5Pjk5UafTKcTt8og+6rPDw8NQOJf9VhgzYfSD2E2u8RENcg3wZhyFFAriDxnLt1otNZvNyA80kFzJxjVwD8rXRu7A6Bk233NteWSHsRlXHO/v70eeHw6HsYgFBbH7iQEY+larpXa7rcfHR52fn2s0GmkymXxn/9cSicSnC+IZcYtt9KiUiH3E+6OjI0mKMXO2Es5mszhGt9stjJATK2lCHRwc6Pnz5zF278/8TnS3Wi3VarVYoLJrkVWv14s8gwqrUqkEeVDOM67mYulMs9mMHOFiBfKvk1CtVqtQs2FQz3ZhN/qXVMgdbhtAfnh4eAglmiu0qWl8NBT1FrkJJR21JRYvrury3EojkOVfJycnkedns5lGo9ETq55E4lNFNsJ2gIBGQDo6OtKzZ89CIeWddAqF6XQaTPDV1VXIiAk0zrhQIJBM2OzYbrd1fHyso6MjtVqtgkqgXq8XRihphPFQT4D140qKZp3P27vKi8BP8vPCxBMJ11JWYLkiwOGMOeMu/NwbgdwbiiAKE2fynXlxlH1z+BmKvNlsFlsi/d/DWXnuVbvd1snJif7yL/9SL168UKVS0W9+8xtdXl7muEoikfhO4I35RqOh58+f64svvgg2nji42WzUarW0v78foxDT6VTn5+exyMOVVzxcuzE+sb7VahV8ED3XlJloZ/Q5NuOS3gjje5pJjOJLxaUtkCzkF4oTvLIoSnjA97F/V1V7EeXXhhKOe0C+dZUAYzk+MurX5A00/97zEj/z8ZibmxsNBgNNJpOCB2X5XCn4er1eXOvV1VVhOU8ikUh8TGz0Pv41Gg09e/ZML168KChreb6nKTUcDkPlen19revr62hQeT6gmeQj95VKJTZEnpycqNvtqtPpFBpOjEZC9NB84nmeBlx5KoVmHaS92884YeLLW/g7n02c91qEJiEeXbVarbC90hVWXL/Xda4e3t/fLyzoIm/450GO+IgmzUrupY9lcqzLy8sgW3yxSjlvHR4eRhOs3W5Lki4vL2NkP5tgicR7ZCPsA4DRaLfbevbsmV6+fBmKJUmFBhcBG7aETr0HuDIDwXulIkPsmyI9ULm3SXkrV7khRbLhPMuMNMfx4sHX1LuJL8HVZ+SdyfDGmDPpu+5l+Z65NJok7KM5Zfm0M/qeGP2a/Fh4g8HIlA2LvRlIw/PFixdqNptaLpe6uLiIZJNIJBIfG050HB0d6eXLl3r9+nUoqsoekzT4UQ9dX19rPp+HwTEP2Gwf9EYYjSQ8LX1TZPmcfGSdQoJih6YW5+VqAh+nl7YP5RQkeG2hFsCgGPUx+YWc5YpocoI3rHx0xHPa4+NjjOJIejLaQgPLvWg8h5XvQ5mE8etjjGc2m8VIpHurMbLD91x3u90Oz530oEwkEt8l9vS+OdLpdJ7UNOQJ4udmswk/3cVioaurK00mkyDWaWAR6xiZd3K52Wyq3W6HgpeRcs8r7mtVrmF8BN6f98lHm812aQmNKv7uno7kmvLxPL6THzhmeczTaw/OFYIKQUK5XkPl5eP60jYXOUECvKbalfvW63WILtwcn8/0HOLLvw4PD+O9/JslEon3yEbYDsDGv3z5Ur/4xS/0y1/+UicnJ8HAu5cVjZarq6tICPP5vMBMbDabeFAmqPFATBOs1+vp+Pg45MoEYwKiN7MYoXHG3JtfJBSp6HniycRHIzEurtfr6nQ6BeN/Lx68oeUqLdh1V1qVZ+dpNvnGGB+F8WNRoHhDzAHrxL3gfiGLRkkBS89q4bJCgfNCvv3555/rr//6ryW99wb7h3/4B/X7/UwaiUTiOwE+YMSef/fv/p1ev36t+Xwe7C0P5IPBQOPxWBcXFzFCzoZilFt4iMDmS1uiheIENViv11Oz2YyxCx7k3XiYmArjTZOq7LFCfqB5JSmYdRph5ADGVLABcCNk8hR5hjznirPlclnIX1JxazGfAyvPvSLX+GhM2aagzK67koBrcF8ZiqjFYqF+v6/JZKLZbBZEGMdy7xbGXp8/f67f//736vf7Go/H2QhLJBLfGSrVij7//HP91V/9lf7mb/5GvV5P0+lUV1dXMbpHI4b8w9KRi4uLghqKBS2Xl5eFeA+pUavVdHx8rGfPnunZs2cRO4nB6/U6Gm4ou5z8Kdc05UUq0rY2abfbhQZctVpVs9mM8+l2u6Fy2zXVgujALVhQ+XpzDaLJxxpp7nHdnk+8BvJazj0449/GCCep6D/tpAtbKskzNCepvSD7N5v3m5273a7+4i/+Ip4dIM6ypkkktshG2A589tlnqlarev36tT777DO9fPkytjPilTKdTjWZTDQej6PJ5ZJUHsSr1WqMSaAmc8Ni/uQBG2bD58ZhYfhy5sHZEn/wdk8UL2xIOB5kXaJLAOcYPproCjSO7Yz7crmMJhxjKTzcl1UG7geG2bOzS2V1WbmoYLyk0+mo0+mEnw5FC1u42I7Csd3ckyYYY6mtVksHBwe6uLjQ6empLi8v07w4kUh8Z/jyyy91cHCgv/7rv9Zf/uVf6ssvv1Sn05GkGPuYTCYaDofq9/uhPHY1FmMa5I/b21stl0tJepIbXNHFqIaPmONFBhHiajFX9Hoe4sGb3OfKLFdTuQ9amZwpe8d4zvL8IykUWOQaCo1yruFY5Kbb29sowlBBcP0OV9B546rb7ero6EjdbrcwZrNer7VYLDSbzUJ9vFgs4jxcjY0ajvf1+331+/3CKGUikUh8bBweHurzzz/XixcvggRB5btarcKAnfg1Go2ClEZJ7H6ODw8PEecqlUqokqkTyEmoY4mDxGrPWz7hQg1CnpGKCixJocIqb2eUtiQ/ufD29jY8JTmGN+Bo8FH/eF5ZLpehVpZUIOo5Lwgo7gc1DD7FuxRzrm6maXV4eBi+ZKjofLSTvM52Yeob7pu0zfdOEt3e3mo+n2s8Hms8HhdIr0QikY2wnXjx4oX29/cLCcM9pRhlgAEm0MFk+0pfgrr7nJRNgz0R0GSiAUYzTNoGOWcv+Lkz89LW+Pjh4SGSE+y2S4Ed3jyTtiy7N6EIuuWE4sUIBUv5M1wK7BJgfFx8VMXHaxwkv/IoKUbG3AMk3fP5PNQAJHS/575RhXszGAx0eXmZLH0ikfhO8fr1a9VqNb1+/VrPnz8vNFkqlUoUJJeXl+r3+0EYkGto3vPgTvxcr9eRE3yMsfyQ7CPo7nNSzjVehDjZ4YpdihdXQ5d9Kb0p5GONjrKHo3+25xoYfR9t5P1+LEmFfEqecv+1snUA7y2Pknqu4dww6vdmG0UhDT3uC4XNZrPRYrHQZDLRdDp9onpOJBKJj4mDgwOdNN4vSPHnZa9pUA5B7hPHms1m5BqmVXiGl4reXEywuHKYZ/rNZhPP+qixysper4t4vzfIGMHn+Z3PdEKGz3R1FsehvuIzvG5wZTFkvnuEuXUL73fSxGs2zzUAssrPT9oSWtxn1GzlPEOTcj6fR75hGyTH4U/yN6o+3pO5JpEoIhthO/Af/sN/iIYWmzZ4wF2tVrq4uNDV1ZX6/X4kBHxe6OrzPhho9wajQHHTRv7O6CCB1H1eeK+b3zt7TRB36e2HAra/h2ThzII3wWBzSCZeQHhCQaIrqXA+XsxQwJBoGauEoZf0JHkCComTkxM9e/ZMR0dHMUrK8gBJ4e91fX1dMJT0Y1UqlfAweP78uVqtVrD0//zP/6x/+qd/yg1eiUTiO8Xf/u3fhnG6jymSa87OznR6eqp3797FyMjj46MajYaq1WqMZBBbd3m2eFHipIkvW+HzfGSCBprnLXIPOcmbYbD8Pjrox5EUxIy0HXHxJpcrB7y4Iddw/k4O8Vr3S/HRx8ViEY0qrhHPSydtvBlGTnnx4oWeP3+uXq+nbrf7ZMva7e2trq+vdXNzo8lkEmMnFJCALcwQZLe3t/rqq69i+1cikUh8l2g2mvrs+Weq1WrRrGcLMCP3b9++1Ww2i9jZaDTU6XR0cnISS1XwOua5HfLbfbc857RarcJzP1sXnZSB0Fgul4XJEUkFw3oIGzzH3AbG64zValWY/vAGG8fw5pg3q8iBCBncI5j6irzjjTJqGM/frpLjs52ooZH38uVLHR8fq9vtFjY+Q3CtViudn58HIcZCFh/TpKYhR9HgvL6+jnqIEdhEIrFFNsJ24MWLF7Ex5PHxUfP5PFj5t2/fajQaRVHiZu5uaCgpfKrcjFIqsh7elOIY5aDvviY+Ow+jwjGlbWD2kUkfKeH97vMlqcBWe6EjbZtorjjgewoIb7RxXd5M45p83LNsUMxojRdNXkyhtHv16lVhlJFkghJsMpnEZjWYHC8ASUy+vazT6aher2s6ner09FRnZ2ff1X+vRCKRkPR+NLLVakXMZtPt+fm5/s//+T9hUswDdjk/8LBNEeEjf1LRqJ2/Ax/Dd8KGh30exJ19d/KEPOJGxcR/N7x3ll3a+r3QVEO9xvnR6IJE4Vo915ThoyacP4WC5zJXxtXr9cJ5uRlzs9lUs9nUy5cv1el01Gw2w8+NBtd6vdZsNtNgMAhSx/Ou+4L56A/FZL/f12w2y2UsiUTiO4dv1SVPDAYDnZ+fxyZBPLrKy0VomPGM7abrTlhI26kNV3n54hNICp7PeT+5AoUTQgHGK4mtNLggf7yRRt6iKcQyGMYcifFMhriS2CdUnKQpEzLlaRX3Mia+uzqZ6+GzuDf4lrHZkRzj00IouqbTqa6vr2NKxesZb0C6LYBbIGDlUxYEJBKJbITtBOMpdN1ns5nOz891dXWly8vLSBjlwOjMAEGfhOMmhq6uAt5c4gsJcdk3C+UTjSs/hs+fl5ViLi0uj7t4c80lwT6+4gUVSceZdQ/Erhbw4oQk61taQFki7cGdUUjMnhlRcaN8TItHo1Ekah/J8e9p/PFFU20wGOj6+lqj0eg7+b+VSCQSACUYXoaz2Uzv3r3T2dmZ3r17p8lkEhtvKRqIr8RTYpurnZxckIqbfH28cFcjzEcZYaeJl+SHer0eo+wUI2VCaBfxIz3NNeQQH1Esq8OcNCkrl/0znaDhWsq5xptu3qQjL7DRsd1uq9frFXJN2T8G4+LlcllQFZTJF887KBAmk0kQaolEIvFdgjgEqTIej+N5l223TlJL21xBfNtsNjFiB0HP60B52oT3UVdQ07iIwNVdxFlqDv50axlJUVe4wbzHeQgXlF1Yo0DwcAzuDefn+Y/jec3kUziSCpudywIHiCRvBvI7RiFR3VHLlKdvFouFhsNhbPH0Y5RJoV1+lCxwWywW2QRLJHYgG2E7gCpqMBjo7OxMb9++1R/+8IcwKJS2bLo3WHjgZkSEpOPS1XKBQsMLs31Xb93c3BTGOGq1mu7u7mK8Av8SHujr9XqYu/v8vkt9nbknqBN8STi83htHPkvv7IZ7grmBMPeCYonP8tEdjsX1lJMJKgTMilFvsYjg4OBAzWYzgj9Kirdv32o4HAaz44UITTNGKRl/ffXqle7v7/U//sf/0LfffpuNsEQi8Z0DE9zLy0udnp7q66+/1m9+8xuNRiONRqPCKIYTDcRVPEKkoueIs8oA1Rgj3xQfm80mDNvv7u4iz9zf3wdBwFIR8l2j0QhDfh81IXcQdz3XSNsmGJ/rRso+JsMYJnmVzyDWs9m5Wq0GSeSbuR4fH7VYLLRer+OcaOyhOvYGHUUTTbBarfYk19AUfHx81HA41Pn5ud69e6d+v6/5fP5kLMivxwkdipurq6vCOGcikUh8V4AswQP397//fXgUVqvV8O2iCUWeub+/12w2i/hPU2qz2RSM5KVt3cExaT7RDLq8vIwmGkutMKTHg5Fneidc3CNMUmyaZyrGfTI5L/9crgNTetTInmeYvrm7u4t6BEN/8gwm+NK22TUejwvv29vbC2WX+4FJCq9JlGCAnAgRQ201GAziuWAwGOj29jZyH3Wbq9e4xmq1quPjY202G52enmo0GmmxWHwv/88SiZ8ashG2A4+Pj5pMJvr666+jEXZzc/NELiwVCw5nDPzh3lnn8iikpGCvK5WKJpNJBH33hOFhHGUUm0WY24fV58Haz8X9VMqjnH4NBFIfW/Tg7Ex8WdXm7ASSZQoTL+II4s76OLvvbIxvgSQh8T5GImm6rddrnZ+f6+zsTBcXF7GR0iXVJA/uIQ22ly9farPZaDQa6Xe/+10mjEQi8b0AZv4Pf/iD3r17p2+//Tbil/uPkAO8eVNWJNN0cYWy5xk+DxUZsXVvby+8Q2CbIRm63W5sTGy328GSL5fLJ00cHt6Bk0AULW6y77kGZp+GFISNX0P5ernGcq6hAVWr1eI63UcGlHONF0+uNOZ3jDTi13J2dqazs7NQU7gywMfw+SJ/39zcxChSLmNJJBLfBx4eH2Oq5ezsTFdXV0Go+Ah5rVYrjOCTE3wBiMdz4HkJL7D9/X0Nh8No2jBN4w0yvHr56nQ6TwgQP7b7QdKI41zdfN5rGnIExyT38VofuXfVlxMaHIdzh+AgX6E+K+dgJ2IgWKh9vAajGcb1LZfLIFvOz8/De4wlBtSY5fPc399Xu93W/v6+FouFrq+vC+q9RCJRRDbCdmC9Xkcn/uLiQjc3N9EcKUtRy5u1pO3DNg/z7kPCz7055OMls9msMPPOZ/IQTaJgTBDlGcHT2XdpKx/mezfS59iu2HI/Fs6JAsHHQrzRxn1wlZtv5Sorzg4ODp4kE99wwj1ypse/KCqQRGOIjGnxYDAoJD2uk4be4eFhSJJbrZaOj491e3urwWAQptSJRCLxXWO5XOr6+lrffPNNGOOPRqPCg7R7qEhbH0lv6ngTzMdDvDFEnri9vdX+/r6m02nEVydLIAs6nU4UJxAHFATr9brwIO/5g/MhH3FcGmzlRpg3xLwR5X4nvKfc2Ct7g8HuozRmFMZzEEUScd4Z/PIYo4/PS4oC5ebmRldXV2FA7P5qXpBwLeSt/f19zWazUBEkEonE94HHh4dohF1dXWk8HkvamsJTG+Aj5iONDmKqN52k7TM2TSxIl+l0Gs0fmm3kAp7ByTFe02B1IhWbbOWGF7nD/cF8pJFcg4KanzUajYjNfmwaTG7Pwv3w3zvhUp628fsyn88jpzQajfg9Cjxe6w2329tbLZdLXV1d6ebmRjc3NyF2cMKFz/TaiPpGep+vxuNxCAISicRTZCNsB05PT/XrX/9av/3tbzWdTsOjhUBFg4eHXWnLVnvA87EQEgDBqtvtFn7vzDDFAFLk/f392Nzy4sULvXjxIoKfmz564PdmmzeovEAi2O9KGCjSXN5M8F8ul1osFsFM+BZLiiOSapldZ7zEiw/MLO/v7wssuSvGuHeHh4fBdtA4HAwG6vf7+uabb3R9fa3BYFC4Vj67Vqvp5ORER0dHevbsmQ4PD/Xs2TN9+eWX+t//+3/rn/7pn3R6epoJI5FIfC948+aN/uEf/kF///d/r8lkEhu7iPuw4b70pBzD3cSdXEW+Ojg40NHRUShxpS1xQDHCCCDfn5yc6PXr1/EFe16r1eJcyGnufek5SNpuyHKvFPfy4v1uZOxNsGq1qtVqFavfUSR4Q8xzp4/mM2ojbf3N+NPHd8p+apA1FBStVivy9GQy0Wg00s3Njd68eaPLy0tdXl4W/G4817Tb7UIDbH9/X+v1OjZ4JRKJxPeF5XIZeWY+n8d44t7eXjTxJRW2CbsyjDH5Vqul8XgcDRnI8ufPn0fs9mUu1CjkIuJwt9vVixcv9OrVK52cnBS8G8l/0+k0RhaBN7tQJ/vPXVVFs4kctVwugwiSFIrh8Xgc1jc0A8mP3AsUxz4uub+/r2fPnsXnlsfhHx4eNBqNCnnG7ym1kY/d4z05GAz09u1bnZ6ehnrPPTXJKb1er2A3gJL74uJCl5eX8fmJRGI3shG2AwQeNjr5eIez3s6IS1tWHvUWzEk5YcCEeDB3zy3ezzF4PV/OYlB8lM2EywqBXSMbXIN/lX1TvOCAUYH9dnanUql8kOHepVxg9IbPoNDxgO0JhWINby+S7Hg8Vr/fj+KCxMnncq3cQ0Z83Hfs9vZWb9680bfffptNsEQi8b2BUcjZbBZNLM8zZfICEONhf2l0OYngo/SeL7xhxeZEmHhfStJqtQoNNM6NOE1TDLiqgEYcsdtBnvHzKG+c5DrcU9JzGIq0XUrs8j3iPniuoXnlpBb5gtfjGUZBNZlMQlFxeXmp4XBYeD6Anaeh6CMwh4eHur291c3NTZjrJxKJxPeF+/v72HjvFiqQEg8PDwUlL3GReMgSscPDQ83n86ghiJPdbrdA/DPhcXd3F7ULzTJX/tJ4Ixfc3t4WzPI3m40ODw8j1jrRjn0LTSGve7z2QaTAojEUZ1wrvmXkHW/klfPMLgucsvVLpVLRYrGIe+3nwBfTKUy+MF7vm6NPT081HA4LSjbyjPta+qTS3t57b7fhcPikCZdIJJ4iG2E7wEOuM70+olEePfTxD4IyW6ak90yMB2JM2klCLu1drVYxguJJiC/Yf6ko5fVNLz5S4mo0ChfYA1BWXnF97qvihQuFiUuROX+/F+WZe5h2N8FH2owcmGRcbp5xz1CRrVYrLRYLTSYT9fv92PRYPgaNMN7fbrfVbDbD/LlWq8WmtouLi4/8PymRSCQ+jNPTU/X7/djK5aOGPgLipAux0T0PeRh20qXRaIT5sLTNVRQAqADIM8RkihZvHnkeca8UL2D855vNJgibsoINeJPP4zXH8kKq7FXj4JhesJRHFGHxKfrcPxJwX7kP5BoU0OPxWMPhUJeXl+r3+1osFlFQoghw9Zc397iufr+v2WwWvjGJRCLxfeD+4T6IBWK3pAIhQCPKx8h5/m42m1HX4M21v79fMLn35hCNJWI49Yc3f/jy2O21jBMuH7JegWihoVb2+3Kf4rLPJrnE8wyNNIh/n6oB1EYIF6SthQ3vxyetTOJwT1Edc/739/daLpeaz+caDAY6Pz/X9fV1bPMEXmfSUHTbGZqZLEJIb7BE4k8jG2E7cHV1pel0Whh1LHuu+AO3q6lcMUaS8E2MbgDP8f3BnNfRuMEP7OTkRJ1OJxgNPovExsM6x8AsfrFYaLlcxjn5JhUKFRpDkiJouxS43FiTtmotCpSykqrcpOMeMSMPE/T4+KjpdKrJZBKKCG8CUqCRPB4eHjQej2Nt/cXFhd6+fat3795Fw9FVb66mQ+lAwvz888+1WCz0P//n/9RXX32V4yqJROJ7BZ5gHms9p6Aq3uULBtzTiwKEgoOHbWnrp4XhO6b5FDLdble9Xk+fffZZsP8+zgFrvlgsNJ1OtV6vI+8sl8uCqk1SFE0ozlAB05Dy3OFWA+VcI20bgZ5ryp5pkDTcx2azGUbM5LzhcBhbHlGVweTz5Qo4WPXxeKzT01N9++23evv2rcbjceHfw/ON51gv3mazWZgeJxKJxPeJh/uHQiOmTIzTtCpbk7hnVrVaVafTUa/Xi4kOb2ZRRxCLebZ/+fJlkND8yc8YQyQWUw+xUZLGF9Mo5BofiSdPUlewRIz3ui2AVPQz84kZ6jGun/eRl6X3+WaxWEQecr9hmoFXV1eh/KWxSJ6R9CRPeJ65uLjQV199pT/84Q+aTqdRc9KkozFZ3pS5Xq/18uVLPT4+BlkznU6/8/9XicRPHdkI+wC88eUqJ39I9wd1/l72Szk8PNTz588LwZYHZOSuZW8VHwdsNpvRDCPoLRaLaDBR0NBIo8hhkxXsMww5RQNFCQHVvb1chutNKK7d2QhJBYYDcAy/Xi8WJEXSxYeNJp7fV+TDkoLtoBCbTqe6urqK1cAuPfaxSkzyuYf4jD0+Pmo0Gun3v/99IbElEonE9wUKjV3ejrsIhvLfiXs0m/h7+eHeH+TJB8RyGH2KFAojJzMY9aDxdXt7G7F4uVxqOp0WFGmcn3tBuv+MjydKCpLECxDfEExcd29MlGpumO+vwwgaxn80GkXDjhzF/UIFBstfqVS0XC41mUw0mUwKxUW5Sef5ke+9yTYYDDQcDsODJpFIJL5PbLQliSV9MA55HeMKKl9+xaZ18gREBvUMsbicZ5hwcVN8yAvpfSylnpnP5wU/SfKOk+Z4RlKrlFXQruzi3LCcIadwTZBG5CAAOeOTNdwLfg6Bwrliq4Mowe8pjbv1eh3/FjT3ptOp3r17F8sMypMxXJPnLVeA7+2993u7ubnRarVKNVgi8S9ANsJ2wMc3yvhTxUm5Efb4+H6LVafTiYCNggtW2NnsspqJMZV2ux1mis7asMEKpgT2gxW7NMRgTtzIUlJBpuxjmow9Stsk4AHZkwYP/TAcrorzhOgqLx97Wa/XUUCx4tiTFo0wL64oypilx/fAC0i/j4xGeiPs6OhIq9VKg8FAb968yU2RiUTie4c3rPi7f/8vbYbRyDk5OQnCg5jqJrtOuJQbYa1WS51Op1Cg0Ky6u7sLcoWRQBphFCYY/UvbXCOpYD6PQoyCwcd0IDw831Cw4OXijTDPWd60k7YKLRaxUESNx+NQg7l/y/39fXhQ8lmMYc7nc43H4xi/n8/nhfP05wXPO07+jMdjDQaD9AZLJBI/GNxD60PwHIEHlzdf9vf3dXR0FIok1MGQ6D4tI21juE94EGupAzwHQu6zMRLShKUpk8kkntchRBgN5Fn/8PCwkBfIY4+Pj0H+0+Tz/OTTK66ek4ojpG5ZwM8rlUpM55BjULdRU2F9U6vVwlOZ40Hun5+fR67w/OLPAtRV1JXValXtdlubzfuFAP1+v+BfmUgkPoxshO2A+4ERPL0bXx7NAF5YuLrqiy++iLEVioabm5tohvko5d7enlqtlo6OjvT8+fPYcgg7PZ1OdXl5Wdik5YmHRhjJabVaFYwkvZggYXgxQTPK5dGMmZA8+DnvJbnh3TWZTOJYXCNJpdFoRJE2nU5jHp5EharN/chItp5cYVBubm5iFMgbYCTder2uXq+nXq+n4+Nj1et1HR0d6YsvvtB/+2//Tb/5zW90dnaWarBEIvG9g1js5EF5/BGG2tXI3uCXFI2l169fq9fraW9vL5S2jHw7o+9jLsfHx3r9+rVevHihk5MTHRwcRHw9Pz8PptrNionXq9VKo9EoRlYoKLimsneWx3f3ZeF8UBWgHoBkqdfrMeLCzxeLhUajUeQZ94ekuYfvymAw0HQ6DT82fw+5jvMfDocFQot7cXl5GeOkZdUX112v1+NPSKfhcKi3b99qNBp9f/+xEolEwrCnvSDiUVN5rUJukLaNFohy32p4d3enly9fqtvt6vHxUbPZTMvlUsPhUJPJJJo/xO79/X01m82oaY6Pj9XpdApev3guLpfLQlMMz7DVahX+itPpNJpJ5BpyBz9DjUVdQ7MK8UC1Wo0tmO5b3Gg0op6grmGLo49oeiPs4OAgfndzcxOb7CFaqMP8XMhJ1Fs0wiaTic7Pz7Ver8M6pvBv+EefM1e+LRaL2Mj59u3b8LiGlEokEn8a2QjbAR6mkcmWDfPL4ytuxOiyY8YUl8tleLjgV0LQdz8XRhaPjo6iacNDv3uzMApII8w9vRgVcfNlb95RVMGkUJC4gouHe08eDw8PhfX03vAjYcAGUWRw/d6I4xiMRM7n88KYCudDccL2sbLJsjcCpa15pTfC8Fljhv/w8FC9Xk+1Wk2j0UjffPONzs/PswmWSCR+EMC409DyEcky0eJjLa7GdXUVD+ndbjcemHkQL6+yR0H27Nmz2BApKUbqUTHxgO7KMidOUIh5HiKHktukrZLXXydt2XwKnru7u1CUNRqNyDdu7M+4CYUG18jvyXGM2ozHY02n0xhZcaKGPAnp4mMx9/f3Uej5CJD/m7g5vjf9JGmxWOji4iIUAolEIvGDYE/RoMe8Hnh89TFvX86FsspVTrVaLbyLqTtozFDP7O/vB6nPc3i1Wo2xQeqa2WwWo+P+RayeTqdRYzh5T+1FDcW1uQcl10TjiZqD5llZwQvJRM7z/LpYLOJ1LD+D5MGgHksa9+Tks+/u7kKVx/HX67XG47Fms9mTpWcuACgvY6lUKrEIhmYhQoSsaxKJfxmyEbYDNF/YxEUzbFfziyZNOYFwDMYTGcdjUyEyWFcvSVKr1QoFEyMqMAjT6TQe6Gkg+WiHs9g+w+6jl94II2l4s8yDsKRCI4yEAksE4wB7T0FB0qA4YfsYHjEkwfl8Hv4ynry8OCkrvaT3/mOz2Uzz+bzgC8Z5OzuPUT4J+Pj4WA8PD7q4uNC3336ry8vL7/X/ViKRSABUTjzM8rC9a+yOB18aPOVGGEUFOabRaKjZbMY4yWKxKGwz7nQ6Ojk50cnJSXh3+Shgv98vNMLIA+7JBXEB3COm3AjjfdJ2/MbVbxQIvr2L++Lj8dVqNcZpnHFfLpdBtLhKGV8Z8ibvdZsBGpIw/Nx/vGp8CQCjQk6AufkxXzT2aISVt10mEonE94U97YUKiphZNoSX9KSxTw1xd3cXOYpcwkh9s9nUer3WaDSKGAqh0O12oxFGTcVUCDUAXzRxICbKli3ui+W+yyiAaSqVfcec3OA46/U6Yr17UPriFNTB5DnGHrmOarUaggWmXBi/d3IIssaN891vDKXbbDaLaySH0NByAQL/bnt77xeQbTYbzWazWCKWPpSJxL8c2QjbAZjhZ8+eRRD27SUOmHmKlHJTCuPC9XodDDwsynq91v7+fgRMRlUwery4uIgktFgswo9lMplEUKXp5SCISsWkRuJCJeWFD3A5LcaSnKOPiZJ4ygaOFEqwN/f392GMeXx8rFqtpoeHB41Go/A3cwWZ+8bwOSQx7i1eNe4v4wVJrVZTt9tVs9kMpUOj0Ygx02+++Ub/9b/+V52enhauPZFIJL5P3N3dBWPOgzEbscg1/mDsX5IK+ej29lbX19d6eHhQq9XS8+fPYyRltVrp8PCwYGZPjJTeb68kls/n81CEDYfDUJO54T7Y29uLJhrn5WpcNy72kRlJYRbMAz1jhavVKhQGjLpQzLhXDUUGfph3d3exKZI8e3d3F34rrlL2Tc3uUYb5M8dmQUB5m5rnJldKQxY1Gg19/fXXOjs709nZWRYmiUTiB8erV68kvc8pNGt8aYikIB98dJL6h+8ZE6cOqNVqajabevbsWSizIDp6vV40ay4vLyPeQzJMJpOI0eU8w7O/Cw74TK9rDg4O1Gq1okl2e3sbOXI+n0dDDy/IarUaNc39/X2h+SUV7XE4F2oWarl6va4XL16oXq/r4eFB/X4/RiA9v7D9ktqKPMPvUZJB7jux5E0wH+O8vb2NPNtoNDQajfT1119rOBymD2Ui8a9ENsJ2wD27Go2G9vf342Gb0Q5JhQaYf+HBUn54dwP6drsdBu/efKLp5EotZ7758odygnxZQeDNIQIp7A2jjBQG3sgiUZGEmNNHyuwMuG9eITlQ0CD/7XQ6hQYfTLyzO94Q84Yb95pzwLPFG3MkScZ9YKk4j1qtpna7refPn6vf7+vt27d69+5dnEMikUj8ECC+Eado2uNLtSvXOCPMCGHZ7wVvxoODA3W73cg1vhGYXIPPFudDnGfMhVzk4/+u0CUGkw9g1dvttjqdTiHX4AFDPKfg8oUtFA9ejGG2TL5wpS+EzOPjo3q9XuQa97wE5TFSVAfkMI4PwVTONeRGb0hyXtxviqx+v6/xeJxNsEQi8YNjo/f1AnGTxst4PA4ywHNKeemHk+AopDzPHB0dheLJiQo8tGh6ARSz3igizxBHqS+krY0Az/XUJ1jOkGfIfyh/ySWuTpYUtYyPRPokEB5pkDoQPoeHh+p2u+p0OtHgoz6TtqP+kC+Q9uQhpmu8npvP5wWyxus5/7dw1R5NMFeilUdeE4nE/x3ZCNsBZ+DZpFWr1SLQMCZJA4o/vUiQ9CR4eSOs0+mE8sybUJ4Y5vN5oRnmc+/lIAlbwIO6+6mQBFxxhqEk8/I86HN+FB+gbIBZbrJJCnl0q9VSu92OsZ/j42O12221Wq3YLEZS4FxpyDkb7/8eZV8aXuMNRxIDmzZ3GXX++te/1ps3b3RxcZFmkolE4gcHD+jdbldHR0dqtVoajUYFVZjnFlRYHtedMZYUhQ0FCr5b7lOCN4svOPE841sYpa2xP8VBOdfA0nM+vV4vcg3FAI01yCbfJuajlv7Aj0LBN1GSPxeLhbrdbuTkZ8+ehSfkaDQqbGhGEVBWg3GNrozYNQbKdXJeztADmnKr1Sq2TCYSicSPASzjev78udrtdiixeFanMcRrieU0fJxsh3Qhz/R6vfA8lhTP6TSFWOLlNQw5zrdNElshtd0SBRGBkyK9Xi8aYYgEiO/kOlcqQ3qQP4jr+H15nmk0GtGw63a7UTOcnJwE2Y7vpOcZ6hn3BiOnOqHPiKoTM1wnOZ/6EnuAx8fHqHU6nY76/b5Go1EQWtkISyT+dchG2A5gXOxy2Xa7HXPtzHGTBHitM8Q84LOOvtVq6eXLl7F2mLFIAjOS2PPz85DJumLJG18UBZg0oiJoNBrx2c7MezHV6/WiwYWEdrVaBUvBwz1z7970KrPlFC3uXdNqtXR8fBysUKVS0dHRkarVaoxEYlRZNutkJt63vRD4CfDlpQV4gTEOwximKxR++ctfqtFo6PLyUv/9v/93ff3117F+OZFIJH4oNBqNaCLxIE7shOl1s1xXvvoqekbPGQf/7LPPYjHIeDwu5AsKgG+++SY2feG3yCp5Pos8Vv48ihEeyGmOeYOL8URJ8YDvzD8FB7nT/SxdLcC5zOfzQkFzdHQkSQV/yna7HYXIYDAoGN27cfLBwUGoBlxhzWf7PQf8+zAGRCMQQuvg4EDNZlODwUBv3rzR9fV15plEIvGjQKWyFzmgUnm/CX61WqndbmsymRS8hd1E3nMHxArP3WwprtVqGgwGEf/r9bqk7bKQwWAQPo2+vRiQPyAxqJloTLkCqt1uR21UrVZjPNFrk/l8HsQGkz0cF/EBCwIQBFDr4IXmY5jdbjd+h/XA/v6+1uu1rq6uoqbxDZXUZngaI3DwRph7bXJfvO70PIOq+/DwUM+fP9fh4aGm06m+/vpr3dzcxGRPIpH41yEbYTtQr9cjGdCEkbYKL5o6rvgiWNM8oiB5/vx5oanE6ImbyT88PIQJ/vX1dfiSuP/LrtFLaevNBVPPeTDSyTy5tFV6eSIg4JfN9L3p5oUKa37n83lhhNIbZYxJ0kBjDTCFDSwJ5881+b2GbaIR5j5oroKgCcYX14a/GUq0+Xyub775RhcXFwV5diKRSPxQgPEmBmMYT9zE00tSxHYekmlMMXr++vXrUGDVarU4nhvKr1YrDQYDDQYDnZ+fazqdFogJ4jEsdNnz0j2wyGkYMKM4k7bEkPtmkS+cyPCfeT6FsadR5yplvjzXcI9qtVpsp+TLSRUab9LWf8bHeHblGv/38IUv3JuHhwcdHBzEuNFoNNLNzU2y84lE4keDSmXrk4VnpI+zv3/Ntsbw36PEajabevXqVaHWcQUtRPbe3p4mk4nG47FOT0+D3IfYgHQn1/h0B3nGt9uT5zincp7x0U2vX6Qtyc6xqNdchYwQgQVmXtOQDzhfmlXSe59L8oy09RRzA34aVL6cxSdbfALJ773XmuQZiCgILTyjl8tl5ppE4t+IbITtAEbyjEEul8sIoj4G6fPkzKw7a3J0dKQvvvgi3gv7DBvg5ojX19caDoe6vLyMoOfw4E6wvb29jaIAhoXgXfZUoRgpH5NERyHkTSYPyijLYNpp5C2Xy7j+4+PjaEy5Wm1/f7/gOcPsPkmP98OuSyoUJZ4svLnmnmfIlPGY4dxRwL17907/63/9r2BvEolE4ocGDSUeuFerVZj5EjshOmCz8Ughvh4fH+v4+Fi/+MUvorEGy00DjI1cs9lMZ2dnurq60tu3b2N8pKzO9W1iKHX5ovlEYeCG9uQt32rF390LrNz84nO8oXZ/fx+j9OQbCoGXL1+q1WrFMhQ+q1KpRM6ezWaFAoUcyWevVqsnYz6+OZn86CP2Pn5KQcm1NZtNff311zo/P9fNzc2THJ5IJBI/FKrVrYJ1NpvF5IZ7gqH0ctsT6oput6vj42N9+eWXQXAw3kddQk1we3urq6srXV9f682bNzH+R5NLUqFmct9GlpOgGqbWIlcWr6m4QMV9zlwk4E07cis1DYQLDSeUx7VaLVTNviWSTY2cL8u7nIR3q4D5fF7YdOmqMV7r1+mqPen9iCnn1Gw21W63JUmz2Uynp6caj8cFg/1EIvGvQzbCdsC3R8ESYIALYy9tR/PcL6RWq4VHVq1WK5gl3tzcFFYDs5oew0qSCkAq6xtYKpVKmEZSoLjU2D3FfLSRIgVJMUGX13hQJjBzDYeHh3p4eNBwONRwONTZ2VmYOy4WizjOy5cvdXJyos8++0y//OUvY0zRt0K6Io5iqV6vF0yJ/Zo9+XDNjOW4ZJuxS67/+fPnOjo60uvXr/WrX/1Kv/71r/WP//iPOaqSSCR+NNjl18jWSJh1V7+iSILAwLS3VqsVfFGur68j19zd3eni4kKj0UjD4TA8RcrG9WVFGEw9+c2bRYw8umeZF1Q04Hi/K41pjrnhfKvVihHLx8dHjUYj9ft9nZ6eRkOLXFOr1fSLX/xCL1++1BdffKG/+Zu/iXvDuAnXRnORHEiukbb5VVJhVIdcjrLafTDxDePaNpuN2u22Hh4edH19rd/97ncajUa5iCWRSPyoQOyk8ePG8sRkSRHLfXS90+nEOOBisQiy4vT0NN5XqVR0dnYWx8Yj0Scwyl5ZECF8uX8jXlgcuzydIr23dylb2eAJ5uQ+ecdHLw8ODrRYLCLPoK4ajUZx3X/1V3+lZ8+e6dWrV/ryyy8LJv2olqmtuE7IehTYPjYJSe9KNsgk4PYw5DNJMQ4pKcgWln7lQpZE4t+ObITtAA0nmmE+AuEP9gQ8WBSaMtVqtTALTjFCgcPD9Hw+12KxiHn2P2Xe7g/s/EmjyBMLPizO7vhmSRRpeKRgGMxxSUwUWkhzOc/xeBxSXK4R9dxkMlGtVit4spRZEP+5b9vi/EmUzu6Ut3R589GZFt9sxsrmu7s7ffXVVzo9PY3lA4lEIvFjAPHWCQ1itMdIDIkZweNBfn9/Px6WieH39/dhfk+umU6noQrjwXwXnITg/NzDhFgOuYFamrX0NI3wOIO02WVOXx7D4bMw8R+PxxqNRjFSQxGxWq1CndXpdCLfoXbw7cOcNwUEn1EeTeF3rvZ2w2JJcR84rjcp1+t1eOCkV0sikfixYU9FMmKxWER+ID66Spf6gTxDPCdu06iBHNnb2wvSgmmXD8VC4jCjmuQMmmOcl2+rn81m4SPmo/u+9d5HNH3pli/UIqeyrXE6nYYoYTqdFryTB4OBqtWq2u125B8mWTg3//KaBHUc+dYVwuQZ7oX/jtxEnvFmGbY4NBgz1yQSfz6yEfYBOCterVaDAYZVBhgJs12SAmAwGEhSjILs2nyIFxhqKDeC9+8dHwp6SHJ9RT3JDZa9UqlE0QBrT5LxOXWSIObHsB3D4TAKEwI/M/M+7rlYLGJlcaVSKSQKV32Vfw+DQhIrNxv5cumwe4n55khGUkejkf7pn/4pt0QmEokfHZwRJ5b5w22z2ZSk8CVhNALz3tVqpX6/L0mxodBzAQ/rKI+n02k02iTFQ737drkfmMPH1GHuaRL5di+aROQcYjwjL/zer52Rl9vbW41Go/Axw8ifXENxMxqNwjB/PB4X7h15FZUduaFSqYSqm5zjuYacT+HnfmacG0WWtF1hv7+/r9FoFOo19/ZMJBKJHwN4lvYYSh5g3I6mFGN4vV4v6gZqGqYqnHznmZ5JERpKEOVlD2IaVOUcQ0OLusPzzOPjY/hjkS8eHh40m820Wq3CK9JJF182xjXxPtRf1DUIE6hp7u/vNRqNwn5gNptFXUX9hEcYvseMUEISeXPNLQg4H3I1EzI06Mjd7gvaarVCmDAYDDQejz9IaCUSiX85shG2AzS7Wq1WNHdgu3ngd8NJTNl5CL+4uAjzQlcvEYQlFcz23VjetyNKesJqOAvt0lpXRnlh49tIfGyS4EshUKvVYvMYrMZwONRyudR8Ptf19bVms1l4tlBcwJ7DWGw2G43HY/3ud78LlRzBnaKG5ItCa71ex6gOzTJeQ6HECJE3wPjis2u1mnq9nk5OTnR0dKQ3b97o//1//1+dnp4Gy5NIJBI/FlSrVTWbTR0fH0f+6Ha7kS9QJS8Wi8g13W43vEkYU398fCwsZel2uwWWHEUZMRr1FPmB8XL3kyyPrRDrvbCRtkoq37b1+PgYhIwrfe/v7+M6Tk5OoqAh1yyXS11eXoa6imM4SYNa+e7uTv1+X7/5zW8i/kvvvTixGqBAI/5jMIxXpRdxXG+z2Sw0A8mfNPA8px8cHOj09FRXV1c6OzvLJlgikfhRYq+yp88//zw8I3k+73Q6MUo4Ho/Dh/H4+DgmPd6+favZbKbNZhMeytVqVZ1OJ47vI/M0wFCS+bO6q59d7UzDx2ub8iZLSWEf44owSZpMJlE/0BjDT5KYPR6Po1l3c3PzpFFVju8010ajkb766qsCIb9erzUcDgvKZ8YxV6tVqLaomyBf3OPTN02SO+7v76Mu9PtSr9c1nU51eXmpwWCQvmCJxEdCNsJ2gIKBWXCKDBKEe15JW9Pc6XRaCHoUAajCfBUu4OGbB20kwtLWj8SLjjKT7gouV7G5txbHho33LVmSCqOdkiKYo1qbz+eFkRr8VPASc2N9CqzRaFQonpBRcw4uBUZC7LPubt4J686xgDNMJI5Wq6Vut6vr62udnp7q22+/zRn6RCLxowS5BoIFI15iGR5X5AFyDQ/YNHwkxUN2vV5Xp9MpxH9JUXC4IssVXmUzY8817kvmG6181MaZdCdZ+AyIIc6R5hm5lBHI0WgULLt7lPG5Pha/Xq9jfIUvtoB5o4/74EpsCg/uky+YAbuIKL9WSJzpdJqK40Qi8aNFZa8S0yF4/zYaDXW73RhJd/9ECAWUU/ge+vSFLzvxxgy+wjyfAyZHIF34HTnGyRy3miHH+BceXa784ntGKFk84zmJGm04HIaaDLsYt7jx0fi7uzuNx+O4HryP2boM2cM5kKP5nS8IIM94bikTS94MpL6jxhyNRiFGSCQSfz6yEbYDFCIedCkEms1msAiMpkjvN3gMBoNQUNGkIbjxkE4AlLYyYBpI7oslKTZeeSDlWDR+PFn4JjHfdkXCoDiQVCgu2u12bDhB0kvDCrkwm0l8NTDNQd8wRtKAycfnRlLIfUlKbtTsgd1N9PkMN2Im4Th7w9hQt9vV0dGR/u7v/k7//M//rG+//fY7/b+SSCQS/1bwsO5MuDfCxuNx5AVGx2ezmW5ubjSbzTSdTgteK5IKJIWTHpvNJjwj7+/vCyP+jH048QLhQaxvNpuRd/yB3ptQHGM6nRZIE17bbDbjODSlyDX4yrCVmDjPuDvkFEoDSBdUxijbpO0WSF8Qw7l58eRbwFAvl/1aADkO8O9xfn6eiuNEIvGjhvseogRjsdd4PI5FYCz3Wq1WoTgmzxDjaVjxjC4p6gPyjI8jkt8mk0mohT1fkVc6nU74P1KfkGOcmEFZRk2z2WyebPhliQzNL5amzGYzTSYT3dzcxLXu7e2F5QAbkJ0QIqchTkAp5svQZrNZ5CHU3SihyzXT3t5e1IlScXELtRi5CEHAzc2N+v2++v3+k5owkUj825GNsB3ARwsJsKuRCHK+BaQ8OuHdfgLW4+OjJpNJgQmXVNhUVW6ESdvktV6v43e+1YpGmI/SONvPDLt7evE+xj2bzWZIjFEYOEuPjxmNKtikw8NDHR0dFZh0rpkNjigYyqb5zp77dfl5wThJikYZicbHMbn+o6MjzWYzXV5e6le/+lV4GiQSicSPEaxF7/V6hfEP4ibjgjRdyDUQGii8eCingTUajdRoNKKwYSzFF6A4WeNj+qvVqqDI5YuHeKwAYK4559vb22hs4RHpuQaywpVUvJ5cM5/PC0tNGHlEuQAhxYKB+/t7DQaDyMWz2UySCp6cTpzwJ+oDlHg0B8skjTfFOC73ejgc6vr6ujDun0gkEj9G3D9sG09MkBAnfYmJN3Mg6tvtdmH5Cq8fj8cxBjmdTgv+vzTLUFtVKhW12+2Iv9PpNPIMpL43v6gv3G+SmAwxP5/PQ2BATGfLJaR5v9+Phhl1GHmGuA35BAHlC8aoXaiLyF3+c85FUiF3UJdA4lBnkfPIwywJIEdR79Trdd3e3mowGOjs7CymjbIJlkh8PGQjbAcw1KVQIJiTHGiEuaF72fzQZbKw9RgiEtB5zy7PK4oQl8ZKW5NFH0thk1i73S6s9vVjUuy4vxjv94KBIM2XF2B8vsOXBXCfYEkkPTkHNyeWipvD9vf31Wq1CiyQv99HVGB/SIJIvkejUaxwTpY+kUj8mIFCibjvDZn1eh3jgh77JIXpMaQLeYeH/9VqFbFe2o7gcwzYZh87YdwFht/jMsfCtLfb7RZyjec9vxbPU+WNjZ5nUFK7UgD4WAnLAhi9cZLGP98bYZ77/JqcnfeNmBQnu5YFSO9zGqoCir9EIpH4MWPzuIkmFc/LqHFp8rhvl6Qn23bd1oQcxcQHDTEaW3huuX0Jz/7UDQAVlLR9vm82mzo6Oooahd/5VkVXiXmu4VzdkgVPSJpg1GgQOeQwH9PknBmNJKe4bU15KQvXQfOr1WoVCC5yn4skXMBQJlUQMbj6LZFIfDxkI2wHVqtVKLQIrqyqxVSRh2UaMpJik4hUHKngoZrtJ6inUDzxPvcsQeVEoHQ/F1eg0TDr9Xo6Pj6OIIwPynw+j9dwbG/GMf5I849GGKbC+NO4Uo0Eg6ljq9UKg3rYcuTIFAo0wLhPXB/n0mq1Yq6fJEwSIxHw3mazWTDibzQaajQams/n+vbbb/XrX/9a0+k0E0YikfhRg4doN6gfj8eRa9xrkrzgzTDyinthVSoVLRaLIAkkBakiKRpH5CK8Ysgv0nZDpKuaGTk5OTnR8+fPI9fM5/PwL9nVPOMhn1zjpAsMO1stUaN5sw4S6eDgQJ1OR8+fP9fR0VHBPw2FAT5gPmZP0cW5oFSo1WqhfKZYosACnLu03ZYmSRcXF6GWTiQSiR87eN5H4YvPJPnDNzQS26vVasRHFGL+XL1cLiPWPz4+xhhkvV6PUUFp64VJvYBfJOfFZ7MxuV6v69WrV3r16lUscoEUmkwmkY/cOxLVmaSCb5c3wcbjcZjjuwILBfbe3p6eP38eTbh2ux01zWw2i3yAapn89Pj4GKoyzsE9LfFfw6zf8wyNP469Wq0K4ofFYqHhcKjFYpHK40TiO0A2wnYAhVOr1YqNXe/evQvjeJiCarVa2Ca5WCwKxQkNMB7q1+v1k3FEmGuAOTzeXciFYW/wiKFQ6XQ66nQ6Oj4+1snJSWE1Mc0z375CYYXk2TdOutGxK99ouEkqqAAA7Dqrln1MhQIH6bCPj7qijaYg99vHTt1L4ODgIOTVfpzHx0f96le/io1j2QRLJBI/djD212w2gzx4+/ZtxE1Xx6KWZQQe9RjjITTTGNdotVrhOcZDO34okCM+DsJn8TpUWhAvvV5PvV5Pr1690rNnz2Ks0tl+TOi9CJnP54UiRVKw7J7TIGHIrRyTXOdKguPj47AYcNIF8obtxk4CuXJbUqy39zxX9qnkXClAFouFZrOZRqNRKsESicRPBtVqVb1eTw8PD1osFrEJcjqdhsKXeOl+yOQU9zl2EqTZbKpWq+nVq1fxWd4wg7imUUR9I20V0ZPJJFRYkPonJydqt9uRB7BCqVarMaXiddF4PI5cSd3FueAVORqNQlmFMo6c52P0ECatVivO88WLF+E91mq1okEFyVSv1wukP/dtNBqp3++HZ5irwNwY3xcI0Kx0L9BsgiUS3w2yEbYDMCcuSYVFgE13RZMnCKS1NMSkrQeWK6EajUZBZuteYTTD+HKDfcZhYPpphMHESCpId7mG8ny/K81QhznDQYHh45pci5tuci6cN/eh2+0Gq9FoNII5oqDx0UwfD6UggakvM/uMsvDvhMH/dDrV1dWVJpNJJoxEIvGTgDeoaBqNx+PYbEXTyzc1SirkGs8PbiRPnG42m6H4vbu7KyiOy6bEbDh2v0fy3dHRkbrdbhA0rkaDuEDZXB5T5Fw9dnuuId+UR0X8XP0cy7mGBtnBwUGo4RidociQFEUSuRG1wC4VmKvjuD42KFPQJBKJxE8BG21inHE+n8d492QyKWwp9BxCPkCR6zWD+0tC0BD7UVf5mCETHzTSvPbgZ41GQ71eT51OJ+K5tLVYIV9QH2w2m9hCSSOJ2stJfo/35Bo+WypO4Xh9w/X7AgCacQcHB7q9vVWj0QiShlzi58rCMffq9C9pq8D2PMlEjG84TiQSHx/ZCNsB39aIFBemmaYSAWy9Xgdr4cUFTSmfeyfQN5tNtVqtkOvywO4P+Tzoe/HiBsI0005OTtRoNMIcEmYEg0hW7fpWEk90jF96UeLnVR5ndPNjmBE2n/nWrW63q263K0mhbhiNRoUmlSde/GEI/O5X4Mo7ihpPwO/evdM333yjy8vLbIIlEomfDKbTqaT3jSFWrg+HwxgT5AG4Uqno9vY24rwz68Rdb4ah9sI7kpFDxv6dWCAHoARmI5Yfp9Vq6fnz52q32zo6OlK1WtVyuQy2ezqdqt/vR2PMCQwfneFPJ2q4Tt/86Gvq+cxWqxV5BhYelUO329Vms1Gn04nNkxzTiwhyDbYBu0ZT3Yif3MlozmAw0HA4/J7/lyQSicSfh/v7e11cXMQoOqbxEMk0tmgUoeCqVqtar9dBQvsEyd7eXmwU7vV6BWsV4jSbgslZjCE2m01JW0KbmqLX68UxpfdqLGqw2Wymq6urnc0h6iZfFkbsRt3MKD2TKb4Vud1uq91uh8KNWo7XYsEC6dJoNCRtNxSvVqsgrCRpMplovV5H7ei53H3UXBDBQgHGUdnmST5NJBIfH9kI2wFM1lFTsQrXH5rLs+V3d3exSYvg6qvcJUVBAJPuTTCSEKMXvtVLUrARziLs7+8H83JwcBDsw/X1tW5ubqKp5A0wV2H5uIpvjqHZ5Qb13gQ7OTmJ0VHUARRZXpDxp6vLKDhIMr6uvmyKD7g3nCPJ9/DwUF999ZXevn2rs7OzbIIlEomfFPADkRS+WWxP9IUsNKpo3vR6vcgnjOqjppIUBQHjipALPu6H+oyY64b5niekba7h92x5vLq60uXlZWHbo+cpYr0b99OcIhegFIB9RwFXq9X04sULtVotdTodNRqN2Hg5m80K3l0UPNPpVIvFQovFokDiuBIMFZiTQ1JRpUZu9vecn5+HV2UikUj8lPD4+KjBYBCTF4wJUu/wLO42Jr1eL+IxCi2UUE5G423FhnoaUZJilJzGFPnBt9yTH9hyLyk+Z7FYqN/vR54Zj8dxTS5AoPFGLmS6BI9jtlBS59CMajabevnyZTT+qEsYuXd1F/eOxpzbsPhUkC8a8+Ux/m+BBQwNMu4txvzj8TieARKJxHeHbITtAA0XSQV2W9puY6Q48SBIIHR/E0mFh2d8SwjUZVN9xmQ8QPI+HxEhuKMGODw8jCSCMWO5aYf6ys2IvXElbdVifO9NNBgXmHkKMBLocrksjNRQnMDEkCB9dp977KM7NMzKc/4oClzBcHV1pdFoFMkzkUgkfipw1ZJvLJSK3lS7VFY89NOwgizg/YzBSFtTfo/1NHyIu5KisEEphvkvat39/f3Clke+IFzIKTz4e1OM3OD+MZw3npm+AIYGGSw87y8rGNg0iXIAAojr8SahFyjlcUy/LxA3FDVcf45DJhKJnyQ225xSVlPxd88z0+k08gx1gcd1J7pp+BBXfROjT5lQA6BwJtegjsJnmSaVq7k8z+zKLU6+OLkubX2M+Rk5yD06fRTTbWRc8UWeGQwGMfLoG5F9UyV1mE/WcE98lBPxAeQT7/Nt0YlE4rtDNsJ2gAd699xqtVqFbYt8MX8+n88lqeBVwmijj4KwaRHFFbJgPnfXufiGSklhEgxr42ORZYbHN1NSOLgyTNomCx/PlBTsu6+vr9VqOjo6CvaChtRsNotjkThgc/DtQsnlTULePx6Po4nnajj3DoNRefbsWYzk/Pa3v00lWCKR+EnCG0LEPTbnEvuIlTyMk3toFKHg8mYaDS73o+SB2xtRDnIZD/u1Wk2SIr672T7jNSivKJjIKb6oheYY18D1uC/M0dFRwZOSHMk2YbwgOYYXKG7Kj+KBXEPBxHUxfkquJL9y/dwDP1/GiLIJlkgkfrLYkxqNRmwkxlsR7y/yD40cvqemaTabEYd9xHC1WkWsRsHEBItUNM6nSUVTjLF7CJbBYFDIXeQefBn39vbC2J96wOM1+cbHEFExU/eQJ2nE+QIujiepsJWYL8YVz8/P43ObzWbku+l0GnUPvtJlkp78TVNwf39f7XY7fnd9fR0boxOJxHePbITtAAkABRKFBOb1s9ksmGQ3Viw3ZGia0YjioRxll7RtPjmDAlvg6+U5DgwLIKkgSXalGAUSAd6bWr4J0hthLlP2hpW0lSGT7EgOfv00/DgfTDZhZFx+DUvkCjbWN7uhPufUbrdj7fPp6akuLy+TMUkkEj9ZkGsYkUdxS46YTCYF9ppYW2b0UT0Ra32Jiy9vcXUUyuLHx/dbJonHbnAPAQEpQrymCGLEhXNwRTC5hmOVfcxcnez5hlznRBKqLK7NPcY4H3JHmaRhAyZ/ltVg3A9vOlIYwvxnUZJIJH7K2DxuQq1FzMZ38vr6Op7fG41GKLVcFeV5BL8vf07HroRcBdhajGKMGOw5AQUvuaJcQ0iKZlV5uRafRU1SXtTi4/peg/nWehRt7n1WrVaj/ioTKG6mT36azWYxzug58sm/wx/PiZoIgQFLchADJBKJ7wfZCNsBl7jSLPKgWfbp4kt632CCdeCB3U14/aGfYoBjesOK5OO+JSQNZ9i9IHBTfF/NyzX5yA3v9d9xbuXxTm82UeRwHvwdFoaChGCOmo4GGNdFYVNOGq6Q8KQFc1OpVDQcDjUej5OlTyQSP2m496GPofs2XW8aud8V6uLyQ7P7P/pooKTIB75ViwaXq9J4jXuHlf2zKGQYncEI37cQS9t8Vm6EkaO4Jo7vzSgUaE7SVCqVwhYwlNEPDw9R4PEaRmvwY4FwKY8Hcb7O1nsxloRLIpH4KYOtka6eQnkL2fH4+BhG8U5M8JwvKeoi95CkXvDndx+HJ6/wPTnLVWPulcxYv7+WY0JykA+kYgMN1Zmr0Hx80lXALizw8+TcGKNfLBYaj8fRFGMRmI990shiVNQ/g+sEXgceHBwUtnk6iZRIJL57ZCNsBwjEsBSSIkDBpJMk8FBxc0iaQiQOZw9IOLApvJ4g77PpXrx4MGWzFoy5H4f3+Tw/Adm/9wYXzbtqtapWqxVJUHrvLUNBQlJkBMbX/G42G81ms2hwkSwJ8g8PD4WFA/xZLkjwBnAlw8HBgY6Pj7VYLDQYDPTrX/86CppEIpH4qcK3WvGAPp/Pg9H2QoOxch7+KRyceSY2k1+8EcbxvZlEY8tzhB9b2o6XkBNpsvkYo/tNkn+4Ni9m+Pz9/f1QvrkqYLPZFNh5PzYNN0mh0iKPkENRGjNK41/kGr8XHM/zK0bSs9ms8AyQSCQSP1VsNpvwtNrb24st7o+PjzGhwtZC98qSVNhgf39/H3UPFi+eL3gfylye/6klqH/Kli3kKmIuMd+9Izk251Wr1Qoem9QSd3d3Qep3u92Ciow6BAKFPENeYHLl8fEx/IexAZDej/RTDy4Wi5jc8c8v2+eQx3i/E/ySdH5+rtlslj6UicQPgGyE7QAqLR7+fcWtj4TgvyJtvU9ICBgzSk8bYa7+4sGfgExRwpcb93JublxPIPXPhuFxJsd9Znz0hIBf9j9zdtyN692QcrPZxKYwvFRg6iUViic/l10Jg2srG/kjG2Yc8ubmJqXDiUTiZwEe1l1RS9yn8IAcYDSEfETMpvlFAwpSwxVfFBPETlRg7svlr/NREooeacugU1TQFIM8YkGLtDvXkDv5XlKhqVYeUQQ0ysghbgXAffRiy5teTiy5MsFzmrTdZnlxcfFkkU0ikUj8lFFW9jJKSCMH+5FerydJsaF4b28vFmThD1kev/dpFUmhwkVdWyZDqBP8WR/PS1S9Hs8RH/j7ASQ9BAsgz6xWq0KO9AU1Xtvw/XQ6jc8YDAZPfL4Y13R1tI9VlusnzsVJJhpz3GNqp2yCJRLfP7IRtgO1Wk31er3g18UDOAEUBsEbWtI2yDnTXR5tKW81IRGVxxt3NbJ8vp2/Ay9eOPaucRM/R87Fm1C8ptyk8i/OzRl3WBLuj0uNuYcfKnRcuuzXQUNvNBppMBio3+9ngZJIJH4WINe4v4k3przh7wSK9HSEcldcdL9LlGfr9TpGMXaNvrtSCl+yXay/s/l8+VgHx0XVu7e3V9gc7DmO6/brIr9yjk6iuELbl83wMy9Oyl5g/j3jQNJ2zIXFL4lEIvFzAeS91wR8v16vdXBwEEqtMgHu9YJPoXBcCBqe16lpaLT5a8lz7rtIvYSwQNqS5JA90taahff6aGOtVgvVsOdNt7nxOo4c5OObGOJz3uPxOK6FHCYpRu09t3i95HkVooXvqd98uyS5OJFIfP/IRtgOPHv2TO12O7ZKldfY+tYRkoRLXdvtdiQE5tzx7eK1Pv/OCAbNsHJApUigQGg2m8HEIz9GHUZwJ5iz4QUmntexMUZSMDYoCijKnDVvNBqFosWPzXlj6k9iKY+MenIoF1Yo8Fzp1m63tVqtNBqN9I//+I/hJZZIJBI/B7x69UqdTkfT6VSSQj0LvPnjxQgx33ONpFCLuX+LExSTyaRgLi9pZ8MJEqLb7YaSGXUuRsnS+zhOc40vYjy5iS3De3t7ha3AbCtzJdze3vstXOQ89wLzUUgfn6Ghhaqu3AgrN78A7yFP+/hLIpFI/JzAIhbG732KBS+s5XJZ8OFCEXx0dFTwPCbP0HzCGkV6nxPG47Hm83kcUypudCSuUyMcHx/vrGkajUY05jDZx7Dexx+bzaZOTk5Uq9UiF6IgZjzT88xm8347Mz+nIcV4Iuc9Ho/j/vlyACeryiQLoF6jziLnkcNvbm40nU7jPBOJxA+DbITtwJdffql6va7z8/OQDFNUlMcHmXdntbA/WBN4JRU2eFFUEMwJ7r7Jis/yh/myZ8vBwUGsl3fmngYdxRBjmqxBdoNG9zFzxsibYR6knQkq/w4lmr+O89ilACMxco4Yd5L85vO5Li4uNBwOg4FJJBKJnwv++q//Ws1mU+/evYuRPwgNN/YlXlLMuGk+RIfHcpRSxF5MfGHpaSgBlFGuHgbki1arpVarFUQMuYY8gZqA9zCif3BwUPAx8587O0/+k7b5o0wK8TM35pe2W5BdSbdrRIVr5fjck8Fg8MEtX4lEIvFTx+HBYWGTvD/zM9VBnDw4OFCv1yuQBYyjQ0KwVRESu9FohLqJxhILsaStIs0na8hrfGatVlOn0wnCBY8wPzfqBeqeVqsVOXM8HheadNRnbtnCZ5Mn3PAeKxe+d3/mchOQOqmsBoPg575w7Vw/9R4+ltkESyR+WGQjbAdevHih/f19DYfD2FboY4Te+Ue91Gg0Yq29B1Ie8p0dqNVq8ToCMU0pfxAnAZXB8VCgkTT4fDe/59wJzCQHaetr5pu7PPHB3riMWNpuaOGecE4uAZY+PMrj18A5cm71ej3YqMlkosFgEEVKIpFI/Jzw6tUr1Wq1aPbDsBOT7+/vg1EmTrpn12q1Kow4epFDTkCJVR4v/FCu8Qd73w5G8dFsNgsjhcRrGG9p2wgj/kP0+JZlzo0GFnmF83ErAfco4/euhJO2xIw3wRzkOv/M29tbLZdLzefzj/sPm0gkEj8iQMCjvMLeBRKD+oFncZaZMLXClMmuBhaNqNVqFaOW3lySts0gj/PEZAQC1DTkGh/lJOaTH/EQ9nxEIw5ShuOiDGOs06dbdnkily0CQHm6xckZSYVaryyg8GkdFotlEyyR+OGRjbAd+OKLLyQp/Kgwa4TpcAlvq9UKY2JYdoKx9L4gaDabajQaevXqlV68eKHDw0NNp9MYx0A9Vt5i5Q/5/gAPE8LPYD0I+gRyxhk5pvvQeOD2bVx3d3eRaJy98fOQ9GQUsjx64qw77/NCzX0HarWa2u226vW6ut2uLi8v1e/39dvf/jbuTSKRSPzc8Bd/8ReqVCrq9/vxMI5aeD6fFwgNHvglRYEBS08cbzQaarVa+vzzzyPXDIdDLZdLTSaTgrmvK3XdSN5zDUQPpAefcXh4WFh44gQReaacOyhipO3mL3IWCjNpOzYvvVePkXdhz/1zy6pkV1SX4YQPxV2/34/RnUQikfi5AtVWu92OSRSaMtQxtVotRtkxq7+9vdVkMgklGE2qRqOhFy9e6PXr12o2m1H3MO7nm4/LTSbOhzqg3W6HssuXtJBnHh4e4nPdyxhbFnIPuYGmF80mr4+o18g/iAWonTD5dw8wahfgY6XSti7ySRyuhWYYi1jYeJxNsETix4FshO3A9fV1+KngzXJ8fBxBl0DJOAdBzf3AJEXTqtVqqdPpqNvt6vHxUfP5XDc3NxoOh5rNZoWAK23ZBVee0fDyERbkzDSl3JzY1wr7BkqOR1HCcYErtVxhxjV6wimPoTg4hnvP+PawcoHHRrTz83N9/fXXGg6HcT8TiUTi54irqyvd399rOBxqtVqpWq3q6OhI9Xpd9Xo9/CndW6Ucj6UtodHpdNTpdKLYWS6Xurm50WQyiQfwXeOPZW8TSApJBZXzer0u+Hz5CCeFiRvx+3IX8oyTPM7083l4priRsy+S+b+hrAZztZsXT8PhsGDYnEgkEj9X3N3faTwex9bHXq8X2yCXy2XEavyPfcuwG+dXq1V1Oh21Wi11u11JCj+t6XQajTAfHwT8zE34a7WaHh8fY1yw2WxGHeJqMsgSXovoAKAkKy/oImfgKUbzi2vE53KxWAQBRf5yssUnXMoLXVztxmtc9Yz/JHY42QRLJH48yEbYDtzc3MTGEIKqMxU+WuJjjYzvwQ74SAnvXy6XWi6X6vf7mk6nWi6XOwsT6Wlx4uyCN6NojPkYiW+OpIBw/xU37udnLuktf5afU3kVvYNr94bXh37OqE+j0Qi/gYuLC11dXWkymfw5/4SJRCLxo8fV1ZXW67WGw2HEaXxR3My3nGvKi1qI5zTQJIVHC40wfBZ3NZO8oeZ+lvzOcxxqZ2fBpe0GL5pWFAXklV2j/jTLnIwht9Dwg/ApmxH/a4DHi5su5zhkIpH4VHB/dx/Eu6RYguKWL5KiicXYOK+Vtv7EbsdCU2owGATh4pMnPhniTTUaRTS4aGwxQu9eZGViHnIEQsgXyeDj5fkCwkXaEjGeV1hY5l7N/lpvBJaXgHndVX4N9gbz+TzGIf+tOSyRSHw3yEbYDvzjP/6jxuNxQb5KkN3f339iGgkIxi6JRWI8m810c3Oj0Wik5XJZKHzKI4TlgI05MLP4nIvLfMuvlbZNMII9xYD01IPFN0/SXENRQDHCeZXXL3PtvgXSG4ewKiQXklqv14vC7Xe/+50uLy/17bffZqJIJBKfBH71q19pNBrFtkhGMFBRMTpf3izlm7UkxSgJD/XX19ehOO73+zFi/iHTeGnre+INNfKL+0pyrl7EuHKrnGu8GEIlzXt5D5snyTWcD8fz8/gQCcM1SSrkuWq1GsXNZDLRdDpNz8lEIvFJYTabFZ6vyR/1el3j8Ti8Er0mwbOyXq/r7u4u4jeEwnA41Gg00mw2K4z9OcEOoSIpagZier1eV7vdjt/xHmI/4/j4UD48PERNwmjjLrJks3m/FRKfMTZYQgiRDzkfzzPUMt4c3JXDIIe87qFO63Q6ur291Ww209XVVQgesrZJJH58yEbYDkyn04I8ttz5d8Ph8oy4tA3oNIym02nMnsN4uPLK2fCycorA6XP5BHhGCr35VoY31bx48EIGxRrnQ3JYr9cFHzJYeq7Bt1y6eaZ/7wwQ19FoNHR0dCTpPfv09ddf6+zsTJPJJBNFIpH4ZEBjhkZXWd3LqKFv3nIlFpusJMXY/Waz0XQ6DZbblWNslOT9PsJO7G00GpFn2BLJxkgKI8gYLwKAq5UB76Go8a2Pnv8AucYXylD8lD/LRyFd9cx9ubu7i3tBoZdIJBKfEu7v79Xv9yVtYzSNG5RQkPuuetpsNtH42d/f193dnSaTiR4fH2Pkb71eR36heeULXKgtpC3h0u12I680Go3CpkjyBH7Mbgfjqmh+Tvz391ETeU4om+FTx/hWZY5bnqxxiwKvadzkH2KKiSJU2R8ibhKJxA+PbITtAOy0s/QoosrBvDz6ISkSBt/zhZLMVVuSwqvLVVrlbSMUJvzp64Pd6NElvF6k7PodTbB2ux3FCQVIGSROPNLcr8abemV4I3F/fz8Kq06no9FopOl0qm+++SYUeIlEIvGpYLFYxEgGD9gUIzy4w0z7khF+T64pm9TTXIM1J947O++jJN7U6nQ6Ybrf6XSCvGAzMg/7XgyUY3952QvFSbPZjHOA8UcB4J4uXAeFio+rAIo03/zl94lGIQ0wNpklEonEp4aHP6qFeR5fLBaFfOL2Ka4W3tvbK8RNVMd3d+89x9wUH7VYo9GI19IoKlutHB8fF+oBiHknTbymcq9jml+QI060Y7dCTnIlltdjeF6u1+sY5/StmL6V2BeOkXfckoAmGA3D0WgUKrtUHycSP25kI2wHaO7Anpe9TcoMuLSV/ErvE0yr1XpSHLis2NVTJAJPCBQHBNler6dGoxENMD4TxQDjl2WvMjds9JHKer0en3l0dBTsyWaz0Ww202w202g00nw+12KxiEYVkmKXAnMufr0k1MfHxzBx/uyzz9TtdjWfz/XmzRv9/ve/12g0iuUDiUQi8SmBRhWx2RtCH4I3hDabjbrdrg4ODgqvcSYdVCoVNRqNMDpGTYynCt4vz549U71eV7PZVLPZLGwKlt7HdBbJoAQgv3Ae+JTRgGu1WtFQ8+JmMplovV7HyIqb8vsSGRpd5Akna/x33tjDr2YwGGR+SSQSnzg2T/IB8Od4aRtfXZHMNkknLqT345M0hXh/p9NRr9eL5S3ko8ViEXni1atXhUkXt2PhOCzNWi6XoTLjPBEU+NQK0zKM9e/t7aler2swGGg2m+ns7CxUbOSaMslSFhJwbF+4gp0M0y0oz66urjSdTjUajXIUMpH4iSAbYTtAd9+ZBh9N8W1WAIkxr/HtJDSuOp1OPNSTRChOjo6O1Gq11Ov1Qp3lI5SNRqNQ3JA0vGBgDh3Js3uGkSyQDne7XR0dHanZbKrb7cb19Pt99ft9jcfjmG1HHecFmqvgnC0BNOFqtZp6vV7cAzZCfvPNNxqNRmkemUgkPlmQa2DQJRX8wIjvmBYTdylIeNj3BSSVSkWtVivitSulyDXtdrtAgNze3sYIS7PZDFZ+s9kE644C+OHhoWCITAFEvvTxft8KjIIZBdzV1ZWGw6HG43EUPBQlft7u++KeLf53chH3C38WFNiJRCLxKaNSqerZs2eRQ5bLZeQSfLJms5mkrbci+QFSnnqEqRRvOEnbGqDRaKjX6+no6EgnJyfx3vl8/mRZ12azidjPIhNi+3g8jppG2i5k8ckV6qx2ux155vDwMAj909PT8Ge+vr4OFZjnl11wXzBXgVGf0cAj30wmk/D7zFHIROKng2yE7QAjIK788kYYTIL7g9H4oVHm2xuR62L4SDAnAKPOojihmEGi6xJlCg7f4EWiYLyG1/InbA+jkPV6PZIUo5Yw81dXV7q4uNBoNIr18hQmnIuPbZIEy+o3Pqvb7erk5CTk1G/evNHNzY0uLy+/q3++RCKR+EnAc4P0Pl4vl8vIE5j8OsoKMogO1MXuweWFw2aziVzzIdLF2XVJ0ZjCyJ7cM5/PI9e4kTHXgE9MrVaLAoXm3f39fZgrw9SjZv6Qf9eHmmBerOzt7UUxxZKBP6WsSyQSiU8F1WpFz549i3yBOqtWq2m9XhfGJiExWMCyWq0KuaFerz/xBHYy5PDwUO12O5THxH4f6/ecsVqtYkQRjy7yn4sG3H+SmoRmXjnPrFYr9ft9/eEPf1C/3y/YBfjI4y6fS34HIJJoDvo45Gw203w+183NjRaLRTbBEomfGLIRtgN/+Zd/GcopArwHZ2S15e1TBHYfIaE4aTQahSDN6ygymLdfrVZRGB0dHQXbQeMLKS9Jx1l/GH1JT1RgHAefGE9+Z2dnevv2rfr9vq6vr6NwAmXvMr74PC826vW6Wq2WPvvssyjufvvb3+r6+jpkyWWvl0QikfgU8ctf/jLICYoDHtYZd5/P50FU+HjG4+NjqJKdVIHcoMkFYw1Z4rmGPNfr9eLhnnzHF80v9+LysQ8fxWf0kaKBzx+NRrq9vdXl5aUuLi40HA41HA6fmOqX8ad+5/kHNcPNzY3u7u6yEEkkEglDo97Qv//3/z6aSSzDqlarWq1WWiwWarfbQfI7GbJeryMn7e3txeIUNgzzrE+dgkn8er3WeDyOZtXJyUlYvEBasESMXEOe8e8lxRh+pVJRp9MpTMdsNhuNRiP1+30tl0u9efNGp6ensTkZULeQa13x5XVOeQSfRhv1zWq10nK51Lt37wpq5sw7icRPD9kI2wGktQR3xhAlxaghbAkG8yQXQLGwWCxUrVZjzp3ixM19abJJRSZG2m6LdCNkAriv+aXpxe84H0ZbnFEn4NNYu76+1nA4DPWBMzA+5kkScYk051GtVgvGyrAxo9FI33zzjSaTSbD+mSwSiURi27gi3ns+8IUmeImVDYOJ/zDg0+lUt7e34alCruF9bi7MeAdj64xEStuCxs+DphNKZQoQ39jIZ3mc92bczc1NeHeRl8qqLunp6CMoL6thzBI1QeaXRCKReIq9yp4O9w9jfL2sXqpUKqH0Iv5CVKDklRTb3Q8ODvT4+FhYgEJ+IM8gBkAdLCmEARAzWLrs7e1FreMLU5x8Ie6TY9hgT55g8+XFxYWm02n4je2aWvFcw999ykfaLnlhDFJ6v0wNb+PJZJKjkInETxzZCNsBHxGRtmvq3SMLhkPaPuiTKBhrpKiZTqeRKCgo3Nul7IlyeHhYaIQ1m01J25XyNMu8IUXzykcvHx4eYqQFloZjsE1rtVpFg4r3lxVgFEx8Hn+6Xw0my7VaTQcHB/rmm290cXGhr7/+WoPBIFVgiUQiUYIrbJ3E8FyDgpdcUSZOeC3jK6jEarVaKIPdBNkLB2+E3d7ehqKLYsN9JX1Do7PxfL4rlilufPTl7u4uVNTkIM+zZexqgpEzya2MQd7e3j4ZIU0kEonEe+yp2OjxLb08y5OHXAVMnCa+M0KJt6SLBjx/uYqYrcPS+0ZSs9mMGL5arUKN7KQ/RIuTOL65frVahScXDTOUWbPZrNDgKtdzH2qC+e/wZqYJtr+/H/USyjNsDBKJxE8X2QjbgfPz85gFhxGggCDo8oUcloZQ2TDfTYcxgYRNgbGXtttZnG1npn21WqlerxdW0nvy4ucE5ul0Gu8t+4h54HdZMc0t/2IGfn9/X81ms/B5jFq6Eeb19bW+/vprnZ+f6/LyMqTRmSgSiUTiKd69exeqLwgQRhJROpFnMNEvbwP2XEP+cTN7FGe+/dHH329vb0MR7MQLuYFih6bbw8ND5BpGNzlnjktedF8vH+Nnm9cuuErMiRmaffP5PDzAyC+ZYxKJROLDWK3X+j/n/0fNZlOtVksHBwfRVPJmE3+XVJj4aDab4Q92ePheWYaZ/ePjo9rtdoE08eUne3t7oQjGCqDdbhcWm9RqtRjL5FzG47Gm02ksVWGjMP6PTup4c8/zBob/oKwMk7Y2NpVKJUj/skfa9fW15vN5YQlL5p1E4qePbITtADPtFBu1Wi0YDgIxD/Z3d3eFgEtBgjKKFfU0qkgaNM3c6JhmlTMhMDF4ixF8KZAoNnzjynw+12KxKKgHPGC74qvs5+INMZIBbA2voTmGyTJjj5eXl7EBLMdUEolE4k+DXMM4/uHhYaHx5d4sPHyj0vIx+sPDQ7VaLe3v78eGL4oEcgwqZB+RJ3/gaykVxw/JNYC8tFgsYhzRySFXHDvp4t97jiGfuf+YmzKTdylGlsul5vN55L80w08kEon/Ox4e7qOZ5P7Ey+Uy6gQ2FEPue54hR+EPxmuoh6gPiN9edxDjfavv+3PaCgxms1lh5J6lLIvFQuPxOCZXnNT3ppd/+TQL5JDb0UjbyR+3gHFbmvv7+yBcVquVxuNxNPcy7yQSPx9kI2wHxuOxJBWaYR6cnYWG7XAZLY2wRqOhbrcbY5GHh4eh0pJUaD55c8qDPcC4X9qOSFIw8XfGIJfLZYHx92YXfy83vPii4UYy81FOmnetViu8Z87OznR1dRUrikkUiUQikfjTmEwmklSIvxQkZSUvcXVvby/8vCApWMbiI/gQL16M+EO/e8DA3LsHpbQtVFzlhUrMFdKuLqap5ay8w5ty7ivmiwDc0BiSZzabhRItkUgkEv9yPDw8xpIUcoMT6MRvRsyZBHGSBrN4xukrlUqoj51Y8W3y+/v7BXsW4r/XVJA+PuZI7EelVlZhlZtfvpGSCR3qFh/h5zWcv2+AJJfSHBwOh1osFkG+ZAMskfj5IRthO8CDPyMcPjOOQsrNfNneBYMxmUx0fX1daHIBLxikbdD2AEsicNaDIA+8uNm1/tcbXdLWm8xZEmTMSIEpjmCL8CuDBeKczs7OdHNzo+vra/X7/RjfLCvPEolEIvFhwMT7AzqFBCMd3hzj6/b2Nh7iB4PBEzbem0yex5yp9/zlTS5yhrPzu4zrpeJICX/nOlzt7J4sXgCVR/al9/lvNptFwZb5JZFIJP48PD48aDAYRExmMoVn/Hid+S/e3d2pWq1qOp3q6urqideWpFACIwrgd97Q4veu5PWaxXMVKOcMSHrqlDKxQ0OL9zix4hspIZ3w/aK+caN9ml/L5bIwbplIJH5+yEbYDrCly9fhekHg6ixJT8zuKSzKzSlveHlQRakFfAuXf0b5GH5clwT7KAq/p2ii6UUC8J9xHm6+z7FgRhaLha6vrzWZTDSdTjWfzyPBJBKJROJfDsY2fPxQ0hMChIUsruLiy3ND2Qi4PG5YzkkfGk2UtktieN0ueDGyS/nFzzyP+u+Bj0AyroN62tXNiUQikfjXo/LHpVfASXn3K2b0D5UwY/nlkflybeQxeheJQkNql7eWW8KAcq7CKoaRel5D7VJ+vQsYIJfKdi8oxRh7XC6Xmkwm4UPmNWAikfh5IhthO9But2OrohcfNIV8lNC3ccEc+AZGD/o+clLeYLKLaXHWxH9Whhc6BHzgSoF6vR4sSFkdhmJMUijeqtVqsPKMPg4GA/X7/UwOiUQi8Wei2WxGXvDCwWM58ZuHcoqTXbkG7Go4UTR8aEvjrve6Wu1Pvd5HGT2nMeq/6xx9lMY90WazWY7YJxKJxEfE/n41ahsfE3x4eIgagM2I1Ds0qJwQcQ/IDxEUEDhlNTHxf5dhvXsg+2vB/f195EJ/D9MvPl7PZ6Co5j3tdlu1Wi2aaZD7g8EgyJdcwJJIfFrIRtgOlIsINjSCDxk1llfVA08GzmRwfIJ02S+sbOzo58Qxyh4s/AyVV71eV61WU/WPbJCbX7oJpm+qRO11fn6u0WikyWSiyWSSEuFEIpH4iFiv15FjvDiRFAVIWXVFjnBGvxyTy2b17vlF04oCAuUXx2P0BCLGRyX93DhXCBUvUjyvQRhxrozew7yzIdNH8jPHJBKJxMcD2353NcIwqpcUI5Fl0oIYTu6g9vHJFeAqZc9ZqHtpaklFgYDXQLye35NfUHKBMoHERmJqILyOqXFY7jWZTCLv4P+VDbBE4tNDNsJ2APnuh4x8/ee7xgI/NIbyIVCYlD3FPCh7cuAz/E8/Fg2wg4ODMPB3TzA+i6LD/VgGg0FsaGH7IyxJIpFIJD4eaITxwF/2SIGZ9yLC8xEP92VCxNXKZbiviucoVybv8q7cNepPkePFDuB68DTDD4yRx+l0Whi9KTcCE4lEIvFx8PDwqMViUVByeV1D/kAR5mOMu3yN/XtXfH1ovJHPLRvW7/I39ukbXuOEi+cJN+bnq9FoxHF9vJ7tlGwf9vHPRCLxaSIbYTtAspBUSBoOig8fU5GKGxrL8+u71GKgXEw404Jyq2w8LD1VijH7zraXRqMRTTE3+oeRn81mur6+1vn5uQaDga6urmJDSiKRSCS+O7BFS3paRAB/oHfllqRCTiDPuKHwrgLlQ68pb9/a9T73LqMogXzxcRjfaLxYLDSbzYJ5ZwNY5phEIpH4fvBwf6/FYhHx3msRj8UsJinXPeQhr1EODg4KhIdUrJnKvmJO7JAvynVRWZHMa30BmL++vPG+Wq2q2WyG2ms+n2uxWGi9XmsymQQpk82vRCIhZSNsJ5gfd+bd2XO+Pzw8DPPJciCXVGApKBbKLDqv8Q1bwJl5Tz5eLDUajWhy1ev1WP9L86tWqwUTMhqN9O7dOw0GA52enqrf78eWS1ig8gavRCKRSHw32DXe6GpfNwiGyJD0J8kZ4J5gu/KKN7Yw7Ze0s4kmKbZYunLMxzrv7+/DZ2U2m2mxWIT5sF9jjp8kEonE94uNFP5X7iVctndxIoT85HHejfPLfsTAJ1d89L7RaDwhbqTtKP/Dw4NqtVpBLVa2cmm1WoUtl7e3t7q7u4vJlvV6rdPTUy2XyzDAd6+zzD+JRMKRjbAdoBHmIyflRpg3tniPVGx+eWJxDxUaW/zd1957E80Zdz+m/0nzy7e+SIr1x86I9Pt9XV1daTwe6+rqStPpVOv1WqvV6onRZCKRSCS+W1CElGOvK3/Lmxz9q3wsV4XtOlbZm9ILHd5XVgx4s8wLFzYr4ylDLvGGWCq/EolE4seA4khkeZNvecOv1zKA/OBjiO4dBlztRW4hP+1SdTkR02w2Cwovz0ucC4T97e1tKIxphN3d3cXPGIss2w4kEokEyEbYDnijyX/mXl67mlQ0xnyUkYDOa13qy98J+P4ZGD66CoCmGub21WpV9Xo9pMGr1So2oJyenmo4HOr8/FyXl5eazWYajUZaLBaRHBKJRCLxwwHzelD26ZK2xIz/zNXF/jonVSA3vAlWJlQoiMhRlUolGle7fDEpehaLRaiJ2bg1n8+/t/uWSCQSiX8F/si17GqCueextM0VZW9iXkt9496V3mzaVRttNpuYYKlWq5rNZvFar4FarZbq9bparZaq1Wqo0BivX61WofyaTqdh5QLxUvbRTCQSiT+FbITtQK/XKyizygUIWxi9eMCby7cz0qDyDY40wGhw7e/vq9FoSHq6DdIlyrDv9/f3ms1mUYRcX19rOp1qPB7r5uZG8/lc4/E41F7z+bwgC86NXIlEIvHjgBMkkp40tbzhVR6ll1QgVJyM8fGSckFCHvBxeElPPLxQE1N8+Pc0xLLoSCQSiZ8ASjWFK7vKG4Sl4tIvV3C5gqxWq6lWqxUaYPv7+2o2mwVvS9DpdOK4r169KhA/1DhMs0yn0yc+X+So9Xpd8KH8UxuUE4lE4k8hG2E70Ol0njDunjB8HJFmFn5h7tXFz2l6wYaUmfyDg4MoKnyLCYUHc+5sdhyNRprNZjHiOJvNohmGKgxmJJVfiUQi8ePELiWw+0qi/sWfy0ft+burwDimj5o4EULxcH9/H1uzKD7W67Xu7u4KI42MmlCc8H0ikUgkfjrY01ZJLBV9jSFO2DbsuehDI5KVSkXNZjNIGW+s+dZGzxdl/0lqFP4sEzHkIvy+yF93d3fR/MqRx0Qi8ecgG2E78OzZs2hslccg9/f31el0YjMjr2s0Gmq322FW7wb2kmKTCQXP/f291uv1k0YXTa3ZbKbT01MNBgONRiNdX19rMploPB5rNBpFU2w6nSYDkkgkEj9B0NTycXcfpW82m7H05ODgoEC4eCOMwgSVl6QoGlarlabTqZbLpRaLRYyWzGazKD6m02ls0/JmWSKRSCR+BtiT6vX6E38vSUHW+yQM5As/9wkXDPO73W7USd7Ucj9JmlYPDw8aj8dBprjSmEYXRD75Z5fiK5FIJD4mshG2A//xP/5HNRqN8Pc6PDyM5le9Xlev11O9Xle9Xn+y1UR6z3LArt/d3YWyazqdajqdarFYaDgchrKL7Y2LxULj8Ti+x/yRrSeMoWRiSCQSiZ8+Xr9+HSPzNLwgTKrVamzZqlQqur29DTbd1VvkF2fO3TjY/VPm83nkDc8hvk0rx0sSiUTi54XDw0O9ePEiJlXa7XYovo6OjuLnbCqGzMfoHtN5ml54d5GHHh4eQs3l6mFXGLuyi/fS8CqP2nseynyUSCS+K2QjbAd++ctfqtVqFby/2GTC/DuFCoyFS3ZpaFGQMOs+HA6j0TUajeJ7/mQDCkoxTxSJRCKR+Hnh5OREtVotCgxGVyg8iP2Pj49BiNDcYmPjbDYrNLt8k5YrvB4eHrRarX7gK04kEonE943Dw0N9/vnn0eBqtVoxAtlqtUL5hZ0KJP9ms4nxehpY5JTFYlFobvE99QxNMmojFMuox8rexdnwSiQS3zeyEbYD/+k//Se12+2YlUdCDAOyWCwiAYxGI83ncw2HQw0GA81mM11fX4eJ/XA41Gw203K51GQyecKUZJMrkUgkPk189tln2t/f12KxiKYVWxhns5kmk0kQI74dywkYCpP07kokEonELrRbbf3t3/5tqI9dFYzai5852XJ/fx/j9W7jwiZHSBc2OVLf+BRLmtknEokfK7IRtgOML04mk1gTT2NrNBrFKCN+XRQtqLkYV3Hj+zLzkWONiUQi8Wnj7//+73V3dxceXa7mYqzeTYHLBUWOMiYSiUTi/4q9rTn9fD4vjM7zhYULpvW8ZrlcxgZ6J2JoeHl9U7ZtyfHGRCLxY0Y2wnbgq6++0sPDQzS/xuOxLi8vC40wEgMFDEovZ+kz8CcSiUTiQ/j222/DB9JNhDOPJBKJROJj4eHhUePF1qweH0m+IGFQHvvII42ysoF9eksmEomfOrIRtgP/+T//Z00mE52fn0cjbDweFzadZMBPJBKJxJ+DX//61znSmEgkEonvFOvVSr/57W9iezDb57F68fFGH2nMJlcikfg5IxthO/Bf/st/CQYEZv7+/j5HGhOJRCLx0ZBNsEQikUh815hMJvq7v/u7MK73hhf1TSq8EonEp4ZshO3Au3fv9Pj4+EOfRiKRSCQSiUQikUj8m7G+Xevi4iKaX970SiQSiU8V2QjbgWyCJRKJRCKRSCQSiZ867u/vNZ+vf+jTSCQSiR8VKj/0CSQSiUQikUgkEolEIpFIJBLfB7IRlkgkEolEIpFIJBKJRCKR+CSQjbBEIpFIJBKJRCKRSCQSicQngWyEJRKJRCKRSCQSiUQikUgkPglkIyyRSCQSiUQikUgkEolEIvFJIBthiUQikUgkEolEIpFIJBKJTwLZCEskEolEIpFIJBKJRCKRSHwSyEZYIpFIJBKJRCKRSCQSiUTik0A2whKJRCKRSCQSiUQikUgkEp8EshGWSCQSiUQikUgkEolEIpH4JJCNsEQikUgkEolEIpFIJBKJxCeBbIQlEolEIpFIJBKJRCKRSCQ+CWQjLJFIJBKJRCKRSCQSiUQi8UkgG2GJRCKRSCQSiUQikUgkEolPAvs/9AkkEolEIpFIJBKJROLPw934qyc/+39e7+n/9/+t/gBnk0gkPlX8P6/3nvxsV3z6IZGNsEQikUgkEolEIpH4iWNzv3zys3Z9T/+fv3palCYSicT3iV3x6YdEjkYaNpvND30KiUQiUUDGpZ8f8t80kUj8mJAxKZFIJBKfGrIRZphOpz/0KSQSiUQBGZd+fsh/00Qi8WNCxqREIpFIfGrI0UjD559/rrdv36rT6WhvLyXEiUTih8Nms9F0OtXnn3/+Q59K4iMjc00ikfgxIPNMIpFIJD5VZCPMUKlU9OWXX/7Qp5FIJBKSpKOjox/6FBLfATLXJBKJHwsyz/y8UG1/rofZWeFne/sNHRz98gc6o0Qi8SnibvzVE0+wavvHRbrsbdIYIJFIJBKJRCKRSCQSiUQi8QkgPcISiUQikUgkEolEIpFIJBKfBLIRlkgkEolEIpFIJBKJRCKR+CSQjbBEIpFIJBKJRCKRSCQSicQngWyEJRKJRCKRSCQSiUQikUgkPglkIyyRSCQSiUQikUgkEolEIvFJIBthiUQikUgkEolEIpFIJBKJTwL/f8AnKgU7PSh6AAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df = get_embed_csv()\n", + "\n", + "rev_model_map = {v: k for k, v in modelname_map.items()}\n", + "rev_model_map[2] = \"Senograph 2000D\"\n", + "f, ax = plt.subplots(3, 3, figsize=(15, 15))\n", + "\n", + "for i, s in enumerate([0, 2, 4]):\n", + " shortpath = df.loc[df.SimpleModelLabel == s, \"shortimgpath\"].values[1]\n", + " path = Path(\"/vol/biomedic3/data/EMBED/images/png/1024x768\") / shortpath\n", + "\n", + " for j, cf in enumerate([0, 2, 4]):\n", + " path_cf = (\n", + " Path(\"/vol/biomedic3/mb121/causal-contrastive/cf_beta1balanced_scanner\")\n", + " / f\"{shortpath[:-4]}_s{cf}.png\"\n", + " )\n", + " if Path(path_cf).exists():\n", + " img1 = CenterCrop((224, 192))(\n", + " preprocess_breast(str(path_cf), (256, 192))[0]\n", + " )\n", + " ax[i, j].set_title(f\"do(Sc = {rev_model_map[cf]})\", fontsize=20)\n", + " else:\n", + " img1 = CenterCrop((224, 192))(preprocess_breast(str(path), (256, 192))[0])\n", + " ax[i, j].set_title(f\"REAL IMAGE\\nSc = {rev_model_map[cf]}\", fontsize=20)\n", + " # Choose the subplot to highlight with a red frame (in this case, the bottom-right subplot)\n", + " highlighted_subplot = ax[i, j]\n", + " linewidth = 4 # Set the desired linewidth\n", + " for spine in highlighted_subplot.spines.values():\n", + " spine.set_color(sns.color_palette(\"colorblind\", 3)[1])\n", + " spine.set_linewidth(linewidth)\n", + "\n", + " ax[i, j].imshow(img1[0], cmap=\"gray\")\n", + " ax[i, j].set_xticks([]), ax[i, j].set_yticks([])\n", + "\n", + "plt.savefig(\"cf_viz.pdf\", bbox_inches=\"tight\")" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "normal\n", + "False 57332\n", + "True 34343\n", + "Name: count, dtype: int64\n", + "pleural effusion\n", + "False 88416\n", + "True 3259\n", + "Name: count, dtype: int64\n", + "pneumonia\n", + "False 88389\n", + "True 3286\n", + "Name: count, dtype: int64\n", + "exclude\n", + "False 90862\n", + "True 813\n", + "Name: count, dtype: int64\n", + "suboptimal study\n", + "False 91024\n", + "True 651\n", + "Name: count, dtype: int64\n", + "cardiomegaly\n", + "False 83255\n", + "True 8420\n", + "Name: count, dtype: int64\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from sklearn.model_selection import train_test_split\n", + "\n", + "df = prepare_padchest_csv()\n", + "train_val_id, _ = train_test_split(\n", + " df.PatientID.unique(),\n", + " test_size=0.20,\n", + " random_state=33,\n", + ")\n", + "\n", + "train_id, _ = train_test_split(\n", + " train_val_id,\n", + " test_size=0.10,\n", + " random_state=33,\n", + ")\n", + "df = df.loc[df.PatientID.isin(train_id)]\n", + "f, ax = plt.subplots(3, 2, figsize=(10, 15))\n", + "\n", + "for i, s in enumerate([\"Phillips\", \"Imaging\", \"Phillips\"]):\n", + " shortpath = df.loc[df.Manufacturer == s, \"ImageID\"].values[i + 1]\n", + " path = Path(\"/vol/biodata/data/chest_xray/BIMCV-PADCHEST\") / \"images\" / shortpath\n", + "\n", + " for j, cf in enumerate([\"Phillips\", \"Imaging\"]):\n", + " if cf != s:\n", + " path_cf = Path(\"../padchest_cf_images_v0\") / f\"{shortpath[:-4]}_sc_cf.png\"\n", + " img = io.imread(str(path_cf), as_gray=True)\n", + " ax[i, j].set_title(f\"do(Sc = {cf})\", fontsize=20)\n", + " else:\n", + " img = io.imread(str(path), as_gray=True)\n", + " ax[i, j].set_title(f\"REAL IMAGE\\nSc = {cf}\", fontsize=20)\n", + " # Choose the subplot to highlight with a red frame (in this case, the bottom-right subplot)\n", + " highlighted_subplot = ax[i, j]\n", + " linewidth = 4 # Set the desired linewidth\n", + " for spine in highlighted_subplot.spines.values():\n", + " spine.set_color(sns.color_palette(\"colorblind\", 3)[1])\n", + " spine.set_linewidth(linewidth)\n", + " img = img / (img.max() + 1e-12)\n", + " img = CenterCrop(224)(Resize(224, antialias=True)(ToTensor()(img)))[0]\n", + " ax[i, j].imshow(img, cmap=\"gray\", vmin=0, vmax=1)\n", + " ax[i, j].set_xticks([]), ax[i, j].set_yticks([])\n", + "\n", + "plt.savefig(\"cf_viz_cxr.pdf\", bbox_inches=\"tight\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "160861" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "from pathlib import Path\n", + "\n", + "PADCHEST_ROOT = Path(\"/vol/biodata/data/chest_xray/BIMCV-PADCHEST\")\n", + "PADCHEST_IMAGES = PADCHEST_ROOT / \"images\"\n", + "\n", + "\n", + "df = pd.read_csv(PADCHEST_ROOT / \"PADCHEST_chest_x_ray_images_labels_160K_01.02.19.csv\")\n", + "len(df)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "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 +} diff --git a/evaluation/rsna.ipynb b/evaluation/rsna.ipynb new file mode 100644 index 0000000..f9d9e70 --- /dev/null +++ b/evaluation/rsna.ipynb @@ -0,0 +1,231 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "import seaborn as sns\n", + "\n", + "sys.path.append(\"/vol/biomedic3/mb121/causal-contrastive\")\n", + "\n", + "from sklearn.metrics import roc_auc_score, balanced_accuracy_score\n", + "\n", + "import torch\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "from classification.classification_module import ClassificationModule\n", + "\n", + "from hydra import compose, initialize\n", + "import pandas as pd\n", + "from data_handling.xray import RSNAPneumoniaDataModule\n", + "from tqdm import tqdm\n", + "import re\n", + "\n", + "import matplotlib\n", + "from evaluation.helper_functions import (\n", + " extract_train_label_prop,\n", + " extract_run_type,\n", + " extract_pretraining_type,\n", + " extract_finetuning_type,\n", + " run_inference,\n", + ")\n", + "\n", + "sns.set_theme(context=\"paper\", style=\"whitegrid\", font_scale=1.5)\n", + "matplotlib.rcParams[\"font.family\"] = \"serif\"\n", + "\n", + "import os\n", + "\n", + "os.chdir(\"/vol/biomedic3/mb121/causal-contrastive/evaluation\")" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "model_dict_normal = {\n", + " \"simclrhead-0.1-22\": \"zcwca4kp\",\n", + " \"simclrhead-1.0-22\": \"2wdyk6sc\",\n", + " \"simclrhead-0.1-11\": \"rh8939mj\",\n", + " \"simclrhead-1.0-11\": \"c8eax3ze\",\n", + " \"simclrhead-0.1-33\": \"3liv3pgo\",\n", + " \"simclrhead-1.0-33\": \"4m7p3834\",\n", + " \"supervised-0.1-11\": \"lnofy8px\",\n", + " \"supervised-0.1-22\": \"ck3nhurh\",\n", + " \"supervised-0.1-33\": \"fq85b7yv\",\n", + " \"supervised-1.0-11\": \"iasr1ngi\",\n", + " \"supervised-1.0-22\": \"aq28vr4n\",\n", + " \"supervised-1.0-33\": \"jzecmpej\",\n", + " \"simclrcfaug-1.0-33\": \"johrigco\",\n", + " \"simclrcfaug-0.1-33\": \"mwj1n15o\",\n", + " \"simclrcfaug-1.0-22\": \"urupcr8p\",\n", + " \"simclrcfaug-0.1-22\": \"zhqlwbiv\",\n", + " \"simclrcfaug-1.0-11\": \"u065scjn\",\n", + " \"simclrcfaug-0.1-11\": \"10ik4o6r\",\n", + " \"simclrcf-0.1-11\": \"dmhnp0bi\",\n", + " \"simclrcf-1.0-11\": \"exuhveyd\",\n", + " \"simclrcf-0.1-22\": \"79sei22s\",\n", + " \"simclrcf-1.0-22\": \"pslj9cw7\",\n", + " \"simclrcf-0.1-33\": \"q3poikhz\",\n", + " \"simclrcf-1.0-33\": \"fjb1jc33\",\n", + " \"simclrcf-0.25-11\": \"drpdrih7\",\n", + " \"simclrcf-0.25-22\": \"ejxf43d7\",\n", + " \"simclrcf-0.25-33\": \"nvgwji8u\",\n", + " \"simclr-0.25-11\": \"4o9d80gc\",\n", + " \"simclr-0.25-22\": \"o3vvj758\",\n", + " \"simclr-0.25-33\": \"r3iwi9qf\",\n", + " \"simclrcfaug-0.25-11\": \"ia70qkb8\",\n", + " \"simclrcfaug-0.25-22\": \"u4npk2ti\",\n", + " \"simclrcfaug-0.25-33\": \"wjx8atvt\",\n", + " \"simclr-0.1-11\": \"ie25zeoi\",\n", + " \"simclr-0.1-22\": \"wkgvu1ij\",\n", + " \"simclr-0.1-33\": \"r6ga87wc\",\n", + " \"simclr-1.0-11\": \"tgdoaxmj\",\n", + " \"simclr-1.0-22\": \"gxhens59\",\n", + " \"simclr-1.0-33\": \"hsxljb6i\",\n", + " \"simclrcfhead-0.1-11\": \"8f7bsf6b\",\n", + " \"simclrcfhead-0.25-11\": \"w9o8807c\",\n", + " \"simclrcfhead-1.0-11\": \"lv68umt5\",\n", + " \"simclrcfhead-0.1-22\": \"4yittl5i\",\n", + " \"simclrcfhead-0.25-22\": \"q8fg06rd\",\n", + " \"simclrcfhead-1.0-22\": \"4pos6qck\",\n", + " \"simclrcfhead-0.1-33\": \"btyurdej\",\n", + " \"simclrcfaughead-0.1-11\": \"l7j8qxc8\",\n", + " \"simclrcfaughead-0.25-11\": \"hj12lhso\",\n", + " \"simclrcfaughead-1.0-11\": \"00szhgxn\",\n", + " \"simclrcfaughead-0.1-22\": \"01vil6ce\",\n", + " \"simclrcfaughead-0.25-22\": \"4fx9i1au\",\n", + " \"simclrcfaughead-1.0-22\": \"dc8a5vzx\",\n", + " \"simclrcfaughead-0.1-33\": \"nov89a96\",\n", + " \"simclrcfaughead-0.25-33\": \"ll31rldz\",\n", + " \"simclrcfaughead-1.0-33\": \"fvj2uqpf\",\n", + " \"simclrcfhead-1.0-33\": \"vp68n1ii\",\n", + " \"simclrcfhead-0.25-33\": \"8kauu1kh\",\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "N patients train 8633, val 1524, test 4354\n", + "Dataset size (1.6 GiB) fits in cache limit (24 GiB). Allocating space to cache all 8633 samples.\n", + "Dataset size (0.3 GiB) fits in cache limit (24 GiB). Allocating space to cache all 1524 samples.\n", + "Dataset size (0.8 GiB) fits in cache limit (24 GiB). Allocating space to cache all 4354 samples.\n", + "#train: 8633\n", + "#val: 1524\n", + "#test: 4354\n" + ] + } + ], + "source": [ + "with initialize(version_base=None, config_path=\"../configs\"):\n", + " cfg = compose(\n", + " config_name=\"config.yaml\", overrides=[\"experiment=base_rsna\", \"data.cache=True\"]\n", + " )\n", + " data_module = RSNAPneumoniaDataModule(config=cfg)\n", + "\n", + "test_dataloader = data_module.test_dataloader()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_csv(f\"../outputs/classification_rsna_results.csv\")\n", + "for run_name, run_id in model_dict_normal.items():\n", + " already_in_df = run_name in df.run_name.values\n", + " if run_id != \"\" and not already_in_df:\n", + " print(run_name)\n", + " model_to_evaluate = f\"../outputs/run_{run_id}/best.ckpt\"\n", + " classification_model = ClassificationModule.load_from_checkpoint(\n", + " model_to_evaluate, map_location=\"cuda:0\", strict=False\n", + " ).model.eval()\n", + " classification_model.cuda()\n", + " inference_results = run_inference(test_dataloader, classification_model)\n", + " print(f\"\\nEvaluating RSNA\")\n", + " res = {}\n", + " res[\"N_test\"] = [inference_results[\"targets\"].shape[0]]\n", + " res[\"Scanner\"] = [\"RSNA\"]\n", + " res[\"Bal_Acc\"] = [\n", + " balanced_accuracy_score(\n", + " inference_results[\"targets\"], np.argmax(inference_results[\"confs\"], 1)\n", + " )\n", + " ]\n", + " res[\"run_name\"] = run_name\n", + " res[\"ROC\"] = [\n", + " roc_auc_score(\n", + " inference_results[\"targets\"], inference_results[\"confs\"][:, 1]\n", + " )\n", + " ]\n", + " print(res)\n", + " df = pd.concat([df, pd.DataFrame(res, index=[0])], ignore_index=True)\n", + " df.to_csv(f\"../outputs/classification_rsna_results.csv\", index=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Pretraining Classifier ctrain_label_prop\n", + "CF-SimCLR Linear Probing 0.0 2\n", + "Name: run_name, dtype: int64" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[\"ctrain_label_prop\"] = df.run_name.apply(extract_train_label_prop)\n", + "df[\"group\"] = df.run_name.apply(extract_run_type)\n", + "df[\"Pretraining\"] = df.group.apply(lambda x: extract_pretraining_type(x))\n", + "df[\"Classifier\"] = df.group.apply(lambda x: extract_finetuning_type(x))\n", + "tmp = (\n", + " df.groupby([\"Pretraining\", \"Classifier\", \"ctrain_label_prop\"])\n", + " .run_name.unique()\n", + " .apply(lambda x: len(x))\n", + ")\n", + "tmp.loc[tmp < 3]" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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 +} diff --git a/evaluation/vindr_density.ipynb b/evaluation/vindr_density.ipynb new file mode 100644 index 0000000..49370a7 --- /dev/null +++ b/evaluation/vindr_density.ipynb @@ -0,0 +1,558 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "import seaborn as sns\n", + "\n", + "sys.path.append(\"/vol/biomedic3/mb121/causal-contrastive\")\n", + "\n", + "from sklearn.metrics import roc_auc_score, balanced_accuracy_score, f1_score\n", + "import pandas as pd\n", + "import torch\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from classification.classification_module import ClassificationModule\n", + "import re\n", + "from hydra import compose, initialize\n", + "\n", + "from data_handling.mammo import EmbedDataModule, modelname_map, VinDrDataModule\n", + "from evaluation.helper_functions import (\n", + " extract_train_label_prop,\n", + " extract_run_type,\n", + " extract_pretraining_type,\n", + " extract_finetuning_type,\n", + " run_inference,\n", + ")\n", + "from sklearn.metrics import ConfusionMatrixDisplay\n", + "\n", + "import os\n", + "\n", + "os.chdir(\"/vol/biomedic3/mb121/causal-contrastive/evaluation\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "model_dict = {\n", + " \"supervised-0.1-33\": \"p6vg0bqi\",\n", + " \"supervised-0.5-33\": \"cwi8xrg8\",\n", + " \"supervised-1.0-33\": \"14q2njao\",\n", + " \"supervised-0.1-22\": \"s8miws7d\",\n", + " \"supervised-0.5-22\": \"x2muh4t0\",\n", + " \"supervised-1.0-22\": \"mbdkezyb\",\n", + " \"supervised-0.1-11\": \"exzxnswf\",\n", + " \"supervised-0.5-11\": \"lvusaac3\",\n", + " \"supervised-1.0-11\": \"tnzfk6l2\",\n", + " \"supervised-0.05-11\": \"2ms8yvko\",\n", + " \"supervised-0.05-22\": \"pobuespp\",\n", + " \"supervised-0.05-33\": \"a81wveb4\",\n", + " \"supervised-0.25-11\": \"thaje7u1\",\n", + " \"supervised-0.25-22\": \"wq8yo3j8\",\n", + " \"supervised-0.25-33\": \"pvs3glhw\",\n", + " \"simclrcfhead-0.05-22\": \"hczqw8hi\",\n", + " \"simclrhead-0.05-22\": \"39bvbdkz\",\n", + " \"simclrcfhead-0.1-22\": \"bh8mayg5\",\n", + " \"simclrhead-0.1-22\": \"yez5128j\",\n", + " \"simclrcfhead-0.05-11\": \"wvl2zdo8\",\n", + " \"simclrcfhead-0.1-11\": \"vly7y62m\",\n", + " \"simclrhead-0.05-11\": \"ucuv8jkw\",\n", + " \"simclrcfhead-0.05-33\": \"5roc5ir1\",\n", + " \"simclrhead-0.1-11\": \"c7c41whj\",\n", + " \"simclrcfhead-0.5-33\": \"y51jnbxy\",\n", + " \"simclrhead-0.05-33\": \"gxsma4ff\",\n", + " \"simclrcfhead-0.5-22\": \"vp8kutkn\",\n", + " \"simclrhead-0.1-33\": \"npddj61e\",\n", + " \"simclrcfhead-0.5-11\": \"ymgvfwto\",\n", + " \"simclrhead-0.5-33\": \"ytd2saxv\",\n", + " \"simclrcfhead-0.25-22\": \"7fz5b8qq\",\n", + " \"simclrhead-0.5-22\": \"h8q836y7\",\n", + " \"simclrhead-0.5-11\": \"ndqzz0vi\",\n", + " \"simclrcfhead-0.25-11\": \"9wbih7s2\",\n", + " \"simclrcfhead-1.0-11\": \"5b7zrnis\",\n", + " \"simclrcfhead-0.25-33\": \"wjipoqjo\",\n", + " \"simclrhead-0.25-22\": \"yajr0hg0\",\n", + " \"simclrcfhead-1.0-33\": \"y92i0w3b\",\n", + " \"simclrhead-1.0-22\": \"ugsl9v5g\",\n", + " \"simclrcfhead-0.1-33\": \"h9e6d77k\",\n", + " \"simclrcfhead-1.0-22\": \"egm73okb\",\n", + " \"simclrhead-0.25-11\": \"by2uphj8\",\n", + " \"simclrhead-1.0-11\": \"q0qc4dus\",\n", + " \"simclrhead-0.25-33\": \"w0hnt490\",\n", + " \"simclrhead-1.0-33\": \"v6q7usva\",\n", + " \"simclrcfaughead-0.05-11\": \"kj0hbad5\",\n", + " \"simclrcfaughead-0.1-11\": \"cr9kyz0t\",\n", + " \"simclrcfaug-0.05-11\": \"rysd390e\",\n", + " \"simclr-0.05-11\": \"9l7y5ut7\",\n", + " \"simclrcfaug-0.1-11\": \"znaz1mde\",\n", + " \"simclrcf-0.05-11\": \"p95njer4\",\n", + " \"simclrcfaughead-0.25-11\": \"863y733o\",\n", + " \"simclrcf-0.1-11\": \"iw7tlt92\",\n", + " \"simclrcfaughead-0.5-11\": \"xzne0qa8\",\n", + " \"simclrcfaug-1.0-11\": \"nyvzr6ob\",\n", + " \"simclrcfaug-0.05-22\": \"fhcjybmj\",\n", + " \"simclr-0.1-11\": \"mof52mfw\",\n", + " \"simclrcfaug-0.1-22\": \"vg3xsy4o\",\n", + " \"simclrcfaug-0.25-22\": \"hx1na3m8\",\n", + " \"simclrcf-0.25-11\": \"ct68hj4b\",\n", + " \"simclrcfaughead-1.0-11\": \"k67i29h3\",\n", + " \"simclr-0.25-11\": \"2458sxig\",\n", + " \"simclrcfaug-0.5-22\": \"31sfch4u\",\n", + " \"simclrcf-0.5-11\": \"keifisvj\",\n", + " \"simclrcfaug-1.0-22\": \"nldvcmd9\",\n", + " \"simclrcfaughead-0.05-22\": \"t5gpmpkb\",\n", + " \"simclrcfaughead-0.1-22\": \"zg79bbvy\",\n", + " \"simclrcfaughead-0.25-22\": \"qaxfef1v\",\n", + " \"simclr-0.5-11\": \"x4h890xg\",\n", + " \"simclrcfaughead-0.5-22\": \"t731ufl6\",\n", + " \"simclrcf-1.0-11\": \"snfp6z9e\",\n", + " \"simclrcfaughead-1.0-22\": \"92ydgwzx\",\n", + " \"simclr-1.0-11\": \"98a4nxz6\",\n", + " \"simclrcf-0.05-22\": \"9shpau2m\",\n", + " \"simclrcf-0.1-22\": \"7g2mzjji\",\n", + " \"simclr-0.05-22\": \"bisabus9\",\n", + " \"simclr-0.1-22\": \"0gczhnmx\",\n", + " \"simclrcf-0.25-22\": \"av41b9aw\",\n", + " \"simclr-0.25-22\": \"ehunbb4k\",\n", + " \"simclrcf-0.5-22\": \"z28lpj3b\",\n", + " \"simclr-0.5-22\": \"ic2srqqw\",\n", + " \"simclrcf-1.0-22\": \"f3yuxs0n\",\n", + " \"simclr-1.0-22\": \"n5w3srew\",\n", + " \"simclrcf-0.05-33\": \"mvccg1m1\",\n", + " \"simclr-0.05-33\": \"c73xfh8k\",\n", + " \"simclrcf-0.1-33\": \"jgh63ufx\",\n", + " \"simclrcf-0.25-33\": \"yzsrtgah\",\n", + " \"simclrcf-0.5-33\": \"4r6q203i\",\n", + " \"simclrcfaug-0.05-33\": \"byblnw9g\",\n", + " \"simclrcfaug-0.1-33\": \"4ibb1j7n\",\n", + " \"simclr-0.25-33\": \"cf5trd5v\",\n", + " \"simclrcfaug-0.25-33\": \"b1qmartk\",\n", + " \"simclrcfaug-0.5-33\": \"gkgfkfui\",\n", + " \"simclrcf-1.0-33\": \"exxhffot\",\n", + " \"simclr-0.1-33\": \"knuou61x\",\n", + " \"simclrcfaug-1.0-33\": \"bozj3y17\",\n", + " \"simclr-0.5-33\": \"qfbtg6f9\",\n", + " \"simclrcfaughead-0.05-33\": \"ou1992k9\",\n", + " \"simclr-1.0-33\": \"wh3lxhxz\",\n", + " \"simclrcfaughead-0.1-33\": \"1zvalb0n\",\n", + " \"simclrcfaughead-0.5-33\": \"u4wcx2c4\",\n", + " \"simclrcfaughead-1.0-33\": \"opprmt0a\",\n", + " \"simclrcfaughead-0.25-33\": \"vrf6l31v\",\n", + " \"simclrcfaughead-0.5-33\": \"xquo6h56\",\n", + " \"simclrcfaug-0.25-11\": \"ciucf48v\",\n", + " \"simclrcfaug-0.5-11\": \"d98hdcn0\",\n", + " # 'simclrcftrfhead-0.05-22': '91e1i90y',\n", + " # 'simclrcftrfhead-0.1-22': '0r6qz5ts',\n", + " # 'simclrcftrfhead-0.25-22': 'au4767di',\n", + " # 'simclrcftrfhead-0.5-22': 'q2x3g7sx',\n", + " # 'simclrcftrfhead-1.0-22': 'l3jqi1d1',\n", + " # 'simclrcftrfhead-1.0-33': 'ct4q0h2z',\n", + " # 'simclrcftrfhead-0.5-33': 'lx94r4nn',\n", + " # 'simclrcftrfhead-0.25-33': 'd44i4shb',\n", + " # 'simclrcftrfhead-0.1-33': 'a2bk5gpx',\n", + " # 'simclrcftrfhead-0.05-33': '9kvdt8ca',\n", + " # 'simclrcftrfhead-1.0-11': 'gr1qfe07',\n", + " # 'simclrcftrfhead-0.25-11': 'ze3ssok5',\n", + " # 'simclrcftrfhead-0.1-11': 'x1ojzki0',\n", + " # 'simclrcftrfhead-0.05-11': '497ar8td',\n", + " # 'simclrtrfhead-0.05-33': 'tdudq6oo',\n", + " # 'simclrtrfhead-0.1-33': 't5d59xnn',\n", + " # 'simclrtrfhead-0.25-33': 'bm8tda0m',\n", + " # 'simclrtrfhead-0.5-33': 'adyq9n0r',\n", + " # 'simclrtrfhead-1.0-33': 'uylt7mtn',\n", + " # 'simclrtrfhead-0.05-22': 'n63j7eun',\n", + " # 'simclrtrfhead-0.1-22': 'bt30anfn',\n", + " # 'simclrtrfhead-0.25-22': 'mxp8uvm0',\n", + " # 'simclrtrfhead-0.5-22': 'cp6m936i',\n", + " # 'simclrtrfhead-1.0-22': '1xeinp91',\n", + " # 'beta1longer-0.1-22': 'a0mamu09',\n", + " # 'beta1longer-0.25-22': 'g1x5scr8'\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "with initialize(version_base=None, config_path=\"../configs\"):\n", + " cfg = compose(\n", + " config_name=\"config.yaml\",\n", + " overrides=[\"experiment=base_density2\", \"data=vindr\", \"data.cache=False\"],\n", + " )\n", + " data_module = VinDrDataModule(config=cfg)\n", + "test_loader = data_module.test_dataloader()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_csv(f\"../outputs/vindr2.csv\")\n", + "for run_name, run_id in model_dict.items():\n", + " already_in_df = run_name in df.run_name.values\n", + " if run_id != \"\" and not already_in_df:\n", + " print(run_name)\n", + " model_to_evaluate = f\"../outputs/run_{run_id}/best.ckpt\"\n", + " classification_model = ClassificationModule.load_from_checkpoint(\n", + " model_to_evaluate, map_location=\"cuda\"\n", + " ).model.eval()\n", + " classification_model.cuda()\n", + "\n", + " # ID evaluation\n", + " inference_results = run_inference(test_loader, classification_model)\n", + " scanners = inference_results[\"scanners\"]\n", + "\n", + " for i in np.unique(scanners):\n", + " sc_idx = np.where(scanners == i)\n", + " targets = inference_results[\"targets\"][sc_idx]\n", + " preds = np.argmax(inference_results[\"confs\"], 1)[sc_idx]\n", + " confs = inference_results[\"confs\"][sc_idx]\n", + " if np.unique(targets).shape[0] == 4:\n", + " res = {}\n", + " res[\"N_test\"] = [targets.shape[0]]\n", + " res[\"Bal_Acc\"] = [balanced_accuracy_score(targets, preds)]\n", + " res[\"ROC\"] = [roc_auc_score(targets, confs, multi_class=\"ovr\")]\n", + " res[\"F1\"] = f1_score(targets, preds, average=\"macro\")\n", + " res[\"Model Name\"] = [f\"(OOD) VinDr\\n{i}\"]\n", + " res[\"run_name\"] = run_name\n", + " print(res)\n", + " df = pd.concat([df, pd.DataFrame(res, index=[0])], ignore_index=True)\n", + "\n", + " targets = inference_results[\"targets\"]\n", + " preds = np.argmax(inference_results[\"confs\"], 1)\n", + " confs = inference_results[\"confs\"]\n", + " res = {}\n", + " res[\"N_test\"] = [targets.shape[0]]\n", + " res[\"Bal_Acc\"] = [balanced_accuracy_score(targets, preds)]\n", + " res[\"ROC\"] = [roc_auc_score(targets, confs, multi_class=\"ovr\")]\n", + " res[\"F1\"] = f1_score(targets, preds, average=\"macro\")\n", + " res[\"Model Name\"] = [f\"(OOD) VinDr\"]\n", + " res[\"run_name\"] = run_name\n", + " print(res)\n", + " df = pd.concat([df, pd.DataFrame(res, index=[0])], ignore_index=True)\n", + " df.to_csv(f\"../outputs/vindr2.csv\", index=False)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df[\"ctrain_label_prop\"] = df.run_name.apply(extract_train_label_prop)\n", + "df[\"group\"] = df.run_name.apply(extract_run_type)\n", + "df[\"Pretraining\"] = df.group.apply(lambda x: extract_pretraining_type(x))\n", + "df[\"Classifier\"] = df.group.apply(lambda x: extract_finetuning_type(x))\n", + "tmp = (\n", + " df.groupby([\"Pretraining\", \"Classifier\", \"ctrain_label_prop\"])\n", + " .run_name.unique()\n", + " .apply(lambda x: len(x))\n", + ")\n", + "tmp.loc[tmp < 3]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib\n", + "import pandas as pd\n", + "\n", + "sns.set_theme(context=\"paper\", style=\"whitegrid\", font_scale=1.1)\n", + "matplotlib.rcParams[\"font.family\"] = \"serif\"\n", + "color_dict = {\n", + " \"ImageNet\": sns.color_palette(\"colorblind\", 8)[-1],\n", + " \"CF-SimCLR\": sns.color_palette(\"colorblind\", 3)[1],\n", + " \"SimCLR\": sns.color_palette(\"colorblind\", 3)[0],\n", + " \"SimCLR with CF\\nin training set\": sns.color_palette(\"colorblind\", 3)[2],\n", + " \"simnclrcf\": sns.color_palette(\"colorblind\", 4)[3],\n", + " \"beta1longer\": sns.color_palette(\"colorblind\", 5)[4],\n", + "}\n", + "\n", + "style_dict = {\"Finetuning\": \"\", \"Transfer\": (2, 3)}\n", + "\n", + "df = pd.read_csv(f\"../outputs/vindr2.csv\")\n", + "df[\"ctrain_label_prop\"] = df.run_name.apply(extract_train_label_prop)\n", + "df[\"group\"] = df.run_name.apply(extract_run_type)\n", + "df[\"Pretraining\"] = df.group.apply(lambda x: extract_pretraining_type(x))\n", + "df[\"Classifier\"] = df.group.apply(lambda x: extract_finetuning_type(x))\n", + "df = df.loc[df.Classifier != \"Linear Probing\"]\n", + "df2 = df.dropna(subset=[\"ROC\", \"ctrain_label_prop\"])\n", + "df2 = df2.loc[df2.run_name.isin(list(model_dict.keys()))]\n", + "df2 = df2.loc[df2.ctrain_label_prop.isin([0.05, 0.1, 0.25, 0.5, 1])]\n", + "df2 = df2.loc[df2[\"Model Name\"] != \"(OOD) VinDr\"]\n", + "f, ax = plt.subplots(1, 2, figsize=(10, 4))\n", + "for i, model in enumerate(\n", + " df2.sort_values(by=\"N_test\", ascending=False)[\"Model Name\"].unique()\n", + "):\n", + " df3 = df2.loc[df2[\"Model Name\"] == model]\n", + " sns.lineplot(\n", + " data=df3,\n", + " x=\"ctrain_label_prop\",\n", + " y=\"ROC\",\n", + " hue=\"Pretraining\",\n", + " style=\"Classifier\",\n", + " ax=ax[i],\n", + " errorbar=(\"se\", 1),\n", + " palette=color_dict,\n", + " dashes=style_dict,\n", + " legend=i == 1,\n", + " )\n", + " ax[i].set_title(f\"{model}\\nN test = {df3.N_test.unique()[0]}\")\n", + " ax[i].set_xlabel(\"Total number of VinDR labels\\n(proportion of training set)\")\n", + " n_label_train_total = 11212\n", + " ax[i].set_xscale(\"log\")\n", + " xticks = [0.05, 0.1, 0.25, 0.5, 1.0]\n", + " xtickslabels = [f\"N={int(n_label_train_total * x)}\\n({x * 100}%)\" for x in xticks]\n", + " ax[i].set_xticks(xticks)\n", + " ax[i].set_xticklabels(xtickslabels, rotation=90)\n", + " if i > 0:\n", + " ax[i].set_ylabel(\"\")\n", + "ax[1].legend(loc=\"upper left\", bbox_to_anchor=(-2.22, 0.75), ncol=1)\n", + "ax[1].set_yticks([0.75, 0.80, 0.85, 0.90, 0.95])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib\n", + "import pandas as pd\n", + "\n", + "sns.set_theme(context=\"paper\", style=\"whitegrid\", font_scale=1.1)\n", + "matplotlib.rcParams[\"font.family\"] = \"serif\"\n", + "color_dict = {\n", + " \"ImageNet\": sns.color_palette(\"colorblind\", 8)[-1],\n", + " \"CF-SimCLR\": sns.color_palette(\"colorblind\", 3)[1],\n", + " \"SimCLR\": sns.color_palette(\"colorblind\", 3)[0],\n", + " \"SimCLR with CF\\nin training set\": sns.color_palette(\"colorblind\", 3)[2],\n", + " \"simnclrcf\": sns.color_palette(\"colorblind\", 4)[3],\n", + " \"beta1longer\": sns.color_palette(\"colorblind\", 5)[4],\n", + "}\n", + "\n", + "style_dict = {\"Finetuning\": \"\", \"Transfer\": (2, 3), \"Linear Probing\": (2, 3)}\n", + "\n", + "df = pd.read_csv(f\"../outputs/vindr2.csv\")\n", + "df[\"ctrain_label_prop\"] = df.run_name.apply(extract_train_label_prop)\n", + "df[\"group\"] = df.run_name.apply(extract_run_type)\n", + "df[\"Pretraining\"] = df.group.apply(lambda x: extract_pretraining_type(x))\n", + "df[\"Classifier\"] = df.group.apply(lambda x: extract_finetuning_type(x))\n", + "df = df.loc[df.Classifier == \"Linear Probing\"]\n", + "df2 = df.dropna(subset=[\"ROC\", \"ctrain_label_prop\"])\n", + "df2 = df2.loc[df2.run_name.isin(list(model_dict.keys()))]\n", + "df2 = df2.loc[df2.ctrain_label_prop.isin([0.05, 0.1, 0.25, 0.5, 1])]\n", + "df2 = df2.loc[df2[\"Model Name\"] != \"(OOD) VinDr\"]\n", + "f, ax = plt.subplots(1, 2, figsize=(10, 4))\n", + "for i, model in enumerate(\n", + " df2.sort_values(by=\"N_test\", ascending=False)[\"Model Name\"].unique()\n", + "):\n", + " df3 = df2.loc[df2[\"Model Name\"] == model]\n", + " sns.lineplot(\n", + " data=df3,\n", + " x=\"ctrain_label_prop\",\n", + " y=\"ROC\",\n", + " hue=\"Pretraining\",\n", + " style=\"Classifier\",\n", + " ax=ax[i],\n", + " errorbar=(\"se\", 1),\n", + " palette=color_dict,\n", + " dashes=style_dict,\n", + " legend=i == 1,\n", + " )\n", + " ax[i].set_title(f\"{model}\\nN test = {df3.N_test.unique()[0]}\")\n", + " ax[i].set_xlabel(\"Total number of VinDR labels\\n(proportion of training set)\")\n", + " n_label_train_total = 11212\n", + " ax[i].set_xscale(\"log\")\n", + " xticks = [0.05, 0.1, 0.25, 0.5, 1.0]\n", + " xtickslabels = [f\"N={int(n_label_train_total * x)}\\n({x * 100}%)\" for x in xticks]\n", + " ax[i].set_xticks(xticks)\n", + " ax[i].set_xticklabels(xtickslabels, rotation=90)\n", + " if i > 0:\n", + " ax[i].set_ylabel(\"\")\n", + "ax[1].legend(loc=\"upper left\", bbox_to_anchor=(-1.15, -0.5), ncol=6)\n", + "ax[1].set_yticks([0.75, 0.80, 0.85, 0.90, 0.95])\n", + "ax[0].set_yticks([0.75, 0.80, 0.85, 0.90, 0.95])\n", + "plt.savefig(\"vindr_transfer.pdf\", bbox_inches=\"tight\", dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib\n", + "import pandas as pd\n", + "\n", + "sns.set_theme(context=\"paper\", style=\"whitegrid\", font_scale=1.1)\n", + "matplotlib.rcParams[\"font.family\"] = \"serif\"\n", + "color_dict = {\n", + " \"ImageNet\": sns.color_palette(\"colorblind\", 8)[-1],\n", + " \"CF-SimCLR\": sns.color_palette(\"colorblind\", 3)[1],\n", + " \"SimCLR\": sns.color_palette(\"colorblind\", 3)[0],\n", + " \"SimCLR with CF\\nin training set\": sns.color_palette(\"colorblind\", 3)[2],\n", + " \"simnclrcf\": sns.color_palette(\"colorblind\", 4)[3],\n", + " \"beta1longer\": sns.color_palette(\"colorblind\", 5)[4],\n", + "}\n", + "\n", + "style_dict = {\"Finetuning\": \"\", \"Transfer\": (2, 3)}\n", + "\n", + "df = pd.read_csv(f\"../outputs/vindr2.csv\")\n", + "df[\"ctrain_label_prop\"] = df.run_name.apply(extract_train_label_prop)\n", + "df[\"group\"] = df.run_name.apply(extract_run_type)\n", + "df[\"Pretraining\"] = df.group.apply(lambda x: extract_pretraining_type(x))\n", + "df[\"Classifier\"] = df.group.apply(lambda x: extract_finetuning_type(x))\n", + "df = df.loc[df.Classifier == \"Finetuning\"]\n", + "df2 = df.dropna(subset=[\"ROC\", \"ctrain_label_prop\"])\n", + "df2 = df2.loc[df2.run_name.isin(list(model_dict.keys()))]\n", + "df2 = df2.loc[df2.ctrain_label_prop.isin([0.05, 0.1, 0.25, 0.5, 1])]\n", + "df2 = df2.loc[df2[\"Model Name\"] != \"(OOD) VinDr\"]\n", + "f, ax = plt.subplots(1, 2, figsize=(10, 4))\n", + "for i, model in enumerate(\n", + " df2.sort_values(by=\"N_test\", ascending=False)[\"Model Name\"].unique()\n", + "):\n", + " df3 = df2.loc[df2[\"Model Name\"] == model]\n", + " sns.lineplot(\n", + " data=df3,\n", + " x=\"ctrain_label_prop\",\n", + " y=\"ROC\",\n", + " hue=\"Pretraining\",\n", + " style=\"Classifier\",\n", + " ax=ax[i],\n", + " errorbar=(\"se\", 1),\n", + " palette=color_dict,\n", + " dashes=style_dict,\n", + " legend=i == 1,\n", + " )\n", + " ax[i].set_title(f\"{model}\\nN test = {df3.N_test.unique()[0]}\")\n", + " ax[i].set_xlabel(\"Total number of VinDR labels\\n(proportion of training set)\")\n", + " n_label_train_total = 11212\n", + " ax[i].set_xscale(\"log\")\n", + " xticks = [0.05, 0.1, 0.25, 0.5, 1.0]\n", + " xtickslabels = [f\"N={int(n_label_train_total * x)}\\n({x * 100}%)\" for x in xticks]\n", + " ax[i].set_xticks(xticks)\n", + " ax[i].set_xticklabels(xtickslabels, rotation=90)\n", + " if i > 0:\n", + " ax[i].set_ylabel(\"\")\n", + "ax[1].legend(loc=\"upper left\", bbox_to_anchor=(-1.15, -0.5), ncol=6)\n", + "ax[1].set_yticks([0.75, 0.80, 0.85, 0.90, 0.95])\n", + "ax[0].set_yticks([0.75, 0.80, 0.85, 0.90, 0.95])\n", + "plt.savefig(\"vindr_transfer.pdf\", bbox_inches=\"tight\", dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib\n", + "import pandas as pd\n", + "\n", + "sns.set_theme(context=\"paper\", style=\"whitegrid\", font_scale=1)\n", + "matplotlib.rcParams[\"font.family\"] = \"serif\"\n", + "df = pd.read_csv(f\"../outputs/vindr2.csv\")\n", + "color_dict = {\n", + " \"ImageNet\": sns.color_palette(\"colorblind\", 8)[-1],\n", + " \"Counterfactual SimCLR\": sns.color_palette(\"colorblind\", 3)[1],\n", + " \"SimCLR\": sns.color_palette(\"colorblind\", 3)[0],\n", + " \"SimCLR with CF\\nin training set\": sns.color_palette(\"colorblind\", 3)[2],\n", + " \"simlastcf\": sns.color_palette(\"colorblind\", 4)[3],\n", + " \"simlastcfaug\": sns.color_palette(\"colorblind\", 5)[4],\n", + "}\n", + "\n", + "df[\"ctrain_label_prop\"] = df.run_name.apply(extract_train_label_prop)\n", + "df[\"group\"] = df.run_name.apply(extract_run_type)\n", + "df[\"Pretraining\"] = df.group.apply(lambda x: extract_pretraining_type(x))\n", + "df[\"Classifier\"] = df.group.apply(lambda x: extract_finetuning_type(x))\n", + "df = df.loc[df.Classifier != \"Linear Probing\"]\n", + "df2 = df.dropna(subset=[\"ROC\", \"ctrain_label_prop\"])\n", + "df2 = df2.loc[df2.run_name.isin(list(model_dict.keys()))]\n", + "df2 = df2.loc[df2.ctrain_label_prop.isin([0.05, 0.1, 0.25, 0.5, 1])]\n", + "f, ax = plt.subplots(2, 3, figsize=(15, 7))\n", + "for i, model in enumerate(df2[\"Model Name\"].unique()):\n", + " df3 = df2.loc[df2[\"Model Name\"] == model]\n", + " sns.lineplot(\n", + " data=df3,\n", + " x=\"ctrain_label_prop\",\n", + " y=\"ROC\",\n", + " hue=\"Pretraining\",\n", + " style=\"Classifier\",\n", + " ax=ax[0, i],\n", + " errorbar=(\"se\", 1),\n", + " palette=color_dict,\n", + " ) # err_style=\"bars\",\n", + " ax[0, i].set_title(model)\n", + " ax[0, i].set_xlabel(\"Prop of VinDr training set labels\")\n", + " if i > 0:\n", + " ax[0, i].set_ylabel(\"\")\n", + " sns.lineplot(\n", + " data=df3,\n", + " x=\"ctrain_label_prop\",\n", + " y=\"Bal_Acc\",\n", + " hue=\"Pretraining\",\n", + " style=\"Classifier\",\n", + " ax=ax[1, i],\n", + " errorbar=(\"se\", 1),\n", + " palette=color_dict,\n", + " ) # err_style=\"bars\",\n", + " ax[1, i].set_xlabel(\"Prop of VinDr training set labels\")\n", + " if i > 0:\n", + " ax[1, i].set_ylabel(\"\")\n", + " # sns.lineplot(data=df3, x=\"ctrain_label_prop\", y=\"F1\", hue=\"Pretraining\", style=\"Classifier\", ax=ax[2, i], errorbar=(\"se\", 1), err_style=\"bars\")\n", + " n_label_train_total = 11212\n", + " xticks = [0, 0.25, 0.5, 1.0]\n", + " xtickslabels = [f\"N={int(n_label_train_total * x)}\\n({x * 100}%)\" for x in xticks]\n", + " ax[1, i].set_xticks(xticks)\n", + " ax[1, i].set_xticklabels(xtickslabels, rotation=0)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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 +}