{ "cells": [ { "cell_type": "markdown", "metadata": { "id": "4W2Oml-xLeEb" }, "source": [ "# Re-Identificator Training - PersonViT on PRW\n", "\n", "| ID | Student | Email |\n", "|------------|-----------------|------------------------------------|\n", "| 0001189110 | Rimondi Simone | simone.rimondi5@studio.unibo.it |\n", "\n", "\n", "## 1. Introduction\n", "\n", "\n", "Person re-identification (Re-ID) is the problem of determining whether two images of a person, acquired from different cameras or at different points in time, depict the same individual. Unlike conventional classification, where the set of classes is fixed and known at training time, Re-ID operates in an *open-set* regime: the identities present in the gallery at deployment have never been observed during training. The model must therefore learn not a classifier, but a *distance function* over an embedding space such that representations of the same identity cluster together while representations of distinct identities are pushed apart, regardless of confounding factors such as viewpoint, illumination, or partial occlusion.\n", "\n", "This notebook addresses the problem in the context of a **two-stage person search pipeline** applied to the **PRW** (*Person Re-identification in the Wild*) benchmark. The first stage, developed in the detection notebook, produces pedestrian bounding boxes via YOLO26. The present notebook constitutes the **second stage**: each detected crop is projected into a high-dimensional metric space, and matching against a query is performed by ranking gallery embeddings according to cosine similarity. The experimental objective is to identify the optimal fine-tuning configuration for **PersonViT** on the PRW target domain, starting from checkpoints pre-trained on established Re-ID source datasets.\n", "\n", "\n", "### Architecture: PersonViT and the TransReID Framework\n", "\n", "\n", "PersonViT is a re-identification model built on the **TransReID** framework, which adapts a pure Vision Transformer (ViT) to the metric learning task through three key architectural modifications.\n", "\n", "**1. ViT backbone with patch embedding.** The input image (256x128 pixels, the 2:1 aspect ratio typical of pedestrian crops) is divided into non-overlapping 16x16 patches, producing a sequence of tokens. A learnable `[CLS]` token is prepended to this sequence; its final hidden state serves as the global identity representation. The model is available in two scales:\n", "\n", "| Variant | Embedding dim | Heads | Layers | Approx. parameters |\n", "|------------|--------------|-------|--------|---------------------|\n", "| ViT-Base | 768 | 12 | 12 | 86 M |\n", "| ViT-Small | 384 | 6 | 12 | 22 M |\n", "\n", "**2. Side Information Embedding (SIE).** TransReID introduces a learnable additive embedding that encodes contextual metadata (camera ID, viewpoint index), summed to the patch embedding before the transformer stack. This mechanism allows the model to disentangle identity-driven variation from context-driven variation during training, improving cross-camera generalisation. In this notebook, SIE is configured with `camera_num=0` and `view_num=0` because PRW does not provide structured viewpoint annotations; the architecture is otherwise identical to the one used on the source datasets.\n", "\n", "**3. BNNeck and final projection.** After the transformer, the `[CLS]` token passes through a Batch Normalization Neck (BNNeck) before the final embedding projection. The original classifier head, used during pre-training with cross-entropy supervision, is replaced by `nn.Identity()` to expose the raw embedding, which is then L2-normalised before cosine distance computation. This decoupling between feature learning and the metric loss is essential for the open-set deployment regime.\n", "\n", "The Jigsaw Patch Module (JPM), an optional TransReID component that introduces spatial permutations of patches to encourage spatially localised features, is disabled throughout this study (`JPM=False`) in order to isolate the effect of the experimental variables of interest without introducing additional architectural variance.\n", "\n", "\n", "### Strengths of this Notebook\n", "\n", "\n", "Compared to a standard fine-tuning approach, several deliberate design choices increase the experimental value and reproducibility of this work:\n", "\n", "Three families of metric learning loss (**TripletMarginLoss**, **ArcFaceLoss**,\n", "**NTXentLoss**) are exposed through a unified interface via pytorch-metric-learning, ensuring that comparisons across losses are free of implementation-level confounders.\n", "- **Orthogonal ablation axes.** The three experimental variables (source checkpoint, fine-tuning strategy, loss function) are varied one at a time, with the others fixed to the best value identified in the preceding phase. This sequential scheme reduces the number of required runs from O(N^3) to O(N) while preserving causal interpretability of each result.\n", "- **Rigorous Re-ID evaluation protocol.** The `evaluate_reid` function correctly excludes the query from the gallery based on filename matching, not merely on PID, and computes the Cumulative Matching Characteristic (CMC) up to Rank-50 alongside mean Average Precision (mAP). The mAP metric penalises correct matches ranked too low in the retrieval list and provides a more complete picture of embedding quality than Rank-1 alone.\n", "- **Incremental result persistence.** Every run is serialised to `all_results.json` immediately upon completion, making the notebook resilient to the disconnections typical of Kaggle sessions.\n", "- **Efficient small-first ablation with scale-up validation.** The complete ablation over\n", " fine-tuning strategies and loss functions is run exclusively on ViT-Small (22 M\n", " parameters), keeping each experimental iteration fast and resource-light. Phase 3 then\n", " *scales up* the winning configuration to ViT-Base (86 M parameters), producing a\n", " cost-benefit analysis (mAP vs. GFLOPs vs. inference latency) that is directly actionable\n", " when selecting which model variant to deploy in the full person search pipeline.\n", "\n", "\n", "\n", "### Dataset: PRW\n", "\n", "\n", "**PRW** (*Person Re-identification in the Wild*) is a surveillance dataset collected by six static cameras installed on the campus of Tsinghua University. It comprises 11,816 frames, 932 labelled identities, and 34,304 bounding-box annotations for the *person* class. Unlike classic Re-ID benchmarks such as Market-1501, where crops are already pre-extracted, PRW provides full frames with MATLAB annotations, requiring a preprocessing step to extract pedestrian crops. Annotations include ambiguous identities (pid -2), which in this study are retained as negative samples during training to increase the discriminative pressure on the metric loss.\n", "\n", "The official dataset split is as follows:\n", "- **Train**: annotated frames with known identities, used for fine-tuning\n", "- **Gallery (Test)**: frames against which queries are matched at evaluation time\n", "- **Query**: pre-extracted crops of target identities to be retrieved from the gallery\n", "\n", "\n", "### Methodology\n", "\n", "\n", "The experimental pipeline is organised into four sequential phases, summarised in the table\n", "below. The ablation study (Phases 0–2) is deliberately conducted on **ViT-Small** (22 M\n", "parameters) rather than ViT-Base (86 M parameters). Because ViT-Small is approximately 4×\n", "lighter, each training epoch completes in roughly one-quarter of the time, making it\n", "practical to sweep three fine-tuning strategies and three loss functions within a single\n", "Kaggle session. Only after the optimal (strategy, loss) pair has been identified does the\n", "study commit to a single full-scale training run on ViT-Base (Phase 3). This *small-first,\n", "scale-up* design reduces total GPU time by approximately 3× compared with running the\n", "complete ablation on ViT-Base, while preserving full causal interpretability: because the\n", "two architectures share the same TransReID backbone design and pre-training regime, the\n", "configuration that maximises mAP on ViT-Small is a reliable proxy for the configuration\n", "that will generalise to the larger model.\n", "\n", "| Phase | Description |\n", "|-------|-------------|\n", "| 0 | Pretrained Baselines – Zero-shot evaluation of all four **ViT-Small** checkpoints on PRW |\n", "| 1 | Strategy Comparison – Full FT vs Partial FT vs FreezeRetrain, ArcFace loss fixed (**ViT-Small**) |\n", "| 2 | Loss Comparison – TripletMarginLoss vs ArcFaceLoss vs **NTXentLoss**, best strategy fixed (ViT-Small) |\n", "| 3 | Scale-Up – Winning configuration replicated on **ViT-Base** (embedding dim 768) |\n", "| Final | Cross-model comparison: metrics, params, GFLOPs, latency |\n", "\n", "\n", "\n", "### Reproducibility and Runtime Environment\n", "\n", "\n", "All experiments use a fixed global seed (42) applied to Python, NumPy, and PyTorch. The notebook runs on a single **NVIDIA T4 GPU** (16 GB VRAM) within a Kaggle environment, with fp16 mixed-precision training via `torch.cuda.amp`. Best checkpoints (by mAP) are saved automatically during training and reloaded for final evaluation. All metrics are exported as a CSV table at the end of the notebook for downstream analysis.\n" ] }, { "cell_type": "markdown", "metadata": { "id": "imports_title" }, "source": [ "## 2. Preliminaries Operations\n", "\n", "### Installation" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2026-03-07T15:46:12.744770Z", "iopub.status.busy": "2026-03-07T15:46:12.744535Z", "iopub.status.idle": "2026-03-07T15:46:26.246941Z", "shell.execute_reply": "2026-03-07T15:46:26.245416Z", "shell.execute_reply.started": "2026-03-07T15:46:12.744751Z" }, "id": "install_cell", "outputId": "961d476f-1af0-467a-e67f-e7b944f8fcf5", "trusted": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m127.8/127.8 kB\u001b[0m \u001b[31m5.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25h" ] } ], "source": [ "!pip install -q albumentations opencv-python-headless scipy\n", "!pip install -q torchmetrics timm einops yacs\n", "!pip install -q pytorch-metric-learning\n", "!pip install -q thop" ] }, { "cell_type": "markdown", "metadata": { "id": "wKGxAPliLeEh" }, "source": [ "### Imports" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2026-03-07T15:46:26.249552Z", "iopub.status.busy": "2026-03-07T15:46:26.249227Z", "iopub.status.idle": "2026-03-07T15:46:31.821140Z", "shell.execute_reply": "2026-03-07T15:46:31.820453Z", "shell.execute_reply.started": "2026-03-07T15:46:26.249524Z" }, "id": "imports_cell", "outputId": "97394242-e73a-4be4-86f3-4a59a907ed89", "trusted": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "All imports OK\n", "Device: cpu\n" ] } ], "source": [ "import os\n", "import cv2\n", "import copy\n", "import json\n", "import math\n", "import time\n", "import random\n", "import sys\n", "from datetime import datetime\n", "from pathlib import Path\n", "from collections import defaultdict\n", "\n", "import numpy as np\n", "import scipy.io\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import matplotlib.patches as mpatches\n", "import matplotlib.patheffects as pe\n", "import matplotlib.gridspec as gridspec\n", "from matplotlib.ticker import MultipleLocator\n", "from matplotlib import rcParams\n", "from tqdm import tqdm\n", "\n", "import torch\n", "import torch.nn as nn\n", "import torch.nn.functional as F\n", "from torch.utils.data import Dataset, DataLoader\n", "\n", "import albumentations as A\n", "from albumentations.pytorch import ToTensorV2\n", "\n", "from pytorch_metric_learning import losses as pml_losses\n", "from pytorch_metric_learning import miners as pml_miners\n", "\n", "from thop import profile as thop_profile, clever_format\n", "\n", "print('All imports OK')\n", "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n", "print(f'Device: {device}')" ] }, { "cell_type": "markdown", "metadata": { "id": "17QbubZNLeEh" }, "source": [ "### Import PersonViT Model\n", "\n", "The model is cloned from a personal GitHub fork (`simoswish02/PersonViT`) rather than the original upstream source for two reasons: Kaggle sessions do not persist cloned directories across restarts, so a controlled fork guarantees version stability; and the original repository contained an import error in `transreid_pytorch/model/make_model.py` that prevented the module from loading correctly outside of its own directory.\n", "\n", "The fix consists of replacing the original **implicit import**:\n", "\n", " from loss.metric_learning import Arcface, Cosface, AMSoftmax, CircleLoss\n", "\n", "with a **fully-qualified absolute import**:\n", "\n", " from transreid_pytorch.loss.metric_learning import (\n", " Arcface, Cosface, AMSoftmax, CircleLoss\n", " )\n", "\n", "The original line assumes `loss` is a top-level package on `sys.path`, which only holds when the interpreter is launched from inside the `transreid_pytorch` directory itself. Since this notebook inserts `PersonViT/` into `sys.path`, the correct top-level namespace becomes `transreid_pytorch`, and the corrected import resolves unambiguously under any working directory.\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2026-03-05T00:50:57.188069Z", "iopub.status.busy": "2026-03-05T00:50:57.18745Z", "iopub.status.idle": "2026-03-05T00:50:58.209024Z", "shell.execute_reply": "2026-03-05T00:50:58.208219Z", "shell.execute_reply.started": "2026-03-05T00:50:57.188038Z" }, "id": "clone_cell", "outputId": "ba4773af-1954-49c2-aaa9-fb3180e2b822", "trusted": true }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Cloning into 'PersonViT'...\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "PersonViT cloned\n", "TransReID imports OK\n" ] } ], "source": [ "if not os.path.exists('PersonViT'):\n", " os.system('git clone https://github.com/simoswish02/PersonViT')\n", " print('PersonViT cloned')\n", "else:\n", " print('PersonViT already present')\n", "\n", "sys.path.insert(0, 'PersonViT')\n", "from transreid_pytorch.config import cfg as reid_cfg\n", "from transreid_pytorch.model.make_model import make_model\n", "print('TransReID imports OK')" ] }, { "cell_type": "markdown", "metadata": { "id": "config_title" }, "source": [ "### Centralised Configuration\n", "\n", "All experimental hyperparameters are defined in a single `Config` class, which acts as the unique source of truth for the entire notebook. This design ensures that any change to a hyperparameter, whether a learning rate, a loss margin, or a file path, propagates automatically to every cell that references `cfg`, eliminating the risk of inconsistencies across phases. The block below also initialises all random seeds and creates the output directories required for checkpoints, plots, and result persistence." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2026-03-07T15:46:31.822468Z", "iopub.status.busy": "2026-03-07T15:46:31.822028Z", "iopub.status.idle": "2026-03-07T15:46:31.841520Z", "shell.execute_reply": "2026-03-07T15:46:31.840345Z", "shell.execute_reply.started": "2026-03-07T15:46:31.822439Z" }, "id": "config_cell", "outputId": "3656101c-10cb-4a39-b974-9061db09eb52", "trusted": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "======================================================================\n", "CONFIGURATION\n", "======================================================================\n", " Device : cpu\n", " AMP : True\n", " Batch size : 128\n", " ViT-Base emb : 768\n", " ViT-Small emb: 384\n", "======================================================================\n" ] } ], "source": [ "class Config:\n", " # Dataset\n", " dataset_root = '/kaggle/input/datasets/edoardomerli/prw-person-re-identification-in-the-wild'\n", "\n", " # Pretrained checkpoints ViT-Base\n", " pretrained_models = {\n", " 'duke': {\n", " 'path': '/kaggle/input/models/simonerimondi/personvit/pytorch/default/4/PersonViT_base_pretrained_duke.pth',\n", " 'display_name': 'Duke',\n", " },\n", " 'market1501': {\n", " 'path': '/kaggle/input/models/simonerimondi/personvit/pytorch/default/4/PersonViT_base_pretrained_market.pth.pth',\n", " 'display_name': 'Market-1501',\n", " },\n", " 'msmt': {\n", " 'path': '/kaggle/input/models/simonerimondi/personvit/pytorch/default/4/PersonViT_base_pretrained_msmt.pth',\n", " 'display_name': 'MSMT17',\n", " },\n", " 'occ_duke': {\n", " 'path': '/kaggle/input/models/simonerimondi/personvit/pytorch/default/4/PersonViT_base_pretrained_occ_duke.pth',\n", " 'display_name': 'Occluded-Duke',\n", " },\n", " }\n", " best_pretrain_key = 'market1501'\n", "\n", " # Pretrained checkpoints ViT-small\n", " pretrained_models_small = {\n", " 'duke': {\n", " 'path': '/kaggle/input/models/simonerimondi/personvit/pytorch/default/4/PersonViT_small_pretrain_duke.pth',\n", " 'display_name': 'Duke',\n", " },\n", " 'market1501': {\n", " 'path': '/kaggle/input/models/simonerimondi/personvit/pytorch/default/4/PersonViT_small_pretrained_market.pth',\n", " 'display_name': 'Market-1501',\n", " },\n", " 'msmt': {\n", " 'path': '/kaggle/input/models/simonerimondi/personvit/pytorch/default/4/PersonViT_small_pretrained_msmt.pth',\n", " 'display_name': 'MSMT17',\n", " },\n", " 'occ_duke': {\n", " 'path': '/kaggle/input/models/simonerimondi/personvit/pytorch/default/4/PersonViT_small_pretrained_occ_duke.pth',\n", " 'display_name': 'Occluded-Duke',\n", " },\n", " }\n", "\n", " # ViT-Base settings\n", " vit_base_transformer_type = 'vit_base_patch16_224_TransReID'\n", " vit_base_embedding_dim = 768\n", "\n", " # ViT-Small settings\n", " vit_small_transformer_type = 'vit_small_patch16_224_TransReID'\n", " vit_small_embedding_dim = 384\n", "\n", " # Augmentation\n", " img_height = 256\n", " img_width = 128\n", " aggressive_augmentation = True\n", "\n", " # DataLoader\n", " batch_size = 128\n", " num_workers = 4\n", "\n", " # Evaluation\n", " exclude_query_from_gallery = True\n", " use_ambiguous_as_negatives = True\n", "\n", " # Metric learning losses\n", " triplet_margin = 0.3\n", " arcface_margin = 30\n", " arcface_scale = 64.0\n", " angular_alpha = 40\n", "\n", " # Mixed precision\n", " use_amp = True\n", "\n", " # Fine-tuning LR / schedule\n", " full_lr=1e-5; full_wd=1e-4; full_epochs=20; full_warmup_ep=3; full_warmup_factor=0.01\n", " partial_lr=3e-4; partial_wd=1e-4; partial_epochs=20; partial_warmup_ep=3; partial_warmup_factor=0.1\n", " freeze_lr=3e-4; freeze_wd=1e-4; freeze_epochs=20; freeze_warmup_ep=3; freeze_warmup_factor=0.1\n", "\n", " # Reproducibility and output paths\n", " seed = 42\n", " save_dir = '/kaggle/working/personvit_finetuning'\n", " results_dir = Path('./evaluation_results')\n", " plots_dir = results_dir / 'plots'\n", "\n", "# Instantiate config and create output directories\n", "cfg = Config()\n", "os.makedirs(cfg.save_dir, exist_ok=True)\n", "cfg.results_dir.mkdir(exist_ok=True)\n", "cfg.plots_dir.mkdir(exist_ok=True)\n", "\n", "# Fix all random seeds for reproducibility\n", "random.seed(cfg.seed)\n", "np.random.seed(cfg.seed)\n", "torch.manual_seed(cfg.seed)\n", "torch.cuda.manual_seed_all(cfg.seed)\n", "\n", "# Initialise the results registry (populated incrementally during training)\n", "RESULTS = {}\n", "RESULTS_PATH = cfg.results_dir / 'all_results.json'\n", "\n", "print('='*70)\n", "print('CONFIGURATION')\n", "print('='*70)\n", "print(f' Device : {device}')\n", "print(f' AMP : {cfg.use_amp}')\n", "print(f' Batch size : {cfg.batch_size}')\n", "print(f' ViT-Base emb : {cfg.vit_base_embedding_dim}')\n", "print(f' ViT-Small emb: {cfg.vit_small_embedding_dim}')\n", "print('='*70)" ] }, { "cell_type": "markdown", "metadata": { "id": "registry_title" }, "source": [ "### Results Registry and Persistence\n", "\n", "The three functions below manage the serialisation and deserialisation of the global `RESULTS` dictionary, which accumulates evaluation metrics and profiling data for every run throughout the notebook.\n", "\n", "- `_json_serialisable(v)`: a recursive helper that converts NumPy scalar types (`np.floating`, `np.integer`) to native Python types before serialisation, since the standard `json` module does not support NumPy dtypes natively. Dictionaries and lists are traversed recursively; all other types are returned unchanged.\n", "- `save_results()`: serialises the current state of `RESULTS` to a formatted JSON file at `RESULTS_PATH`, stripping the `history` key from each run to avoid persisting large per-batch loss arrays. It is called immediately after every training run so that progress is preserved even in the event of a Kaggle session timeout.\n", "- `load_results()`: reloads `RESULTS` from the JSON file on disk, restoring the full registry without re-running any experiment. It is primarily intended for use after a kernel restart, provided the JSON file is still available in the working directory." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "execution_failed": "2026-03-06T17:29:16.807Z" }, "id": "registry_cell", "trusted": true }, "outputs": [], "source": [ "def _json_serialisable(v):\n", " if isinstance(v, (float, np.floating)): return round(float(v), 6)\n", " if isinstance(v, (int, np.integer)): return int(v)\n", " if isinstance(v, dict): return {kk: _json_serialisable(vv) for kk, vv in v.items()}\n", " if isinstance(v, list): return [_json_serialisable(x) for x in v]\n", " return v\n", "\n", "def save_results():\n", " serialisable = {\n", " k: _json_serialisable({kk: vv for kk, vv in v.items() if kk != 'history'})\n", " for k, v in RESULTS.items()\n", " }\n", " with open(RESULTS_PATH, 'w') as f:\n", " json.dump(serialisable, f, indent=2)\n", " print(f'[checkpoint] RESULTS saved to {RESULTS_PATH} ({len(RESULTS)} runs)')\n", "\n", "def load_results():\n", " if RESULTS_PATH.exists():\n", " with open(RESULTS_PATH) as f:\n", " RESULTS.update(json.load(f))\n", " print(f'Loaded {len(RESULTS)} runs from {RESULTS_PATH}')\n", " else:\n", " print('No previous results found')" ] }, { "cell_type": "markdown", "metadata": { "id": "dataset_title" }, "source": [ "## 3. Dataset Utilities\n", "\n", "### Dataset Classes\n", "\n", "Three `Dataset` subclasses handle the different access patterns required by the PRW pipeline. `PRWPersonSearchDataset` is the base loader and operates in three modes (`train`, `test`, `query`), parsing the MATLAB annotation files provided by PRW and converting each bounding box to a standardised dictionary record. `PRWReIDDataset` and `QueryDataset` wrap it with transform support for the actual training and evaluation loops.\n", "\n", "- `PRWPersonSearchDataset`: loads the raw PRW dataset from disk. In `train`/`test` mode it reads the official split `.mat` file, iterates over per-frame annotation files, and filters out boxes smaller than `min_box_area` pixels to discard degenerate annotations. In `query` mode it reads `query_info.txt` and loads pre-extracted query crops directly. Each annotation record stores the image path, bounding boxes in `[x1, y1, x2, y2]` format, person IDs, camera ID, and frame dimensions.\n", "- `_build_annotations()`: core preprocessing method called during `train`/`test` initialisation. For each frame it reads the `box_new` field from the MATLAB annotation, clips coordinates to image boundaries, and discards boxes that do not meet the minimum area threshold. Ambiguous identities (pid `-2`) are retained and counted separately.\n", "- `PRWReIDDataset`: wraps `PRWPersonSearchDataset` to expose individual crops as training samples. It flattens all frame-level annotations into a flat list of `(frame_index, box, pid, filename)` tuples and builds a contiguous integer label mapping (`pid_to_label`) required by the metric learning losses. Ambiguous identities can optionally be included as additional negatives via `include_ambiguous`.\n", "- `QueryDataset`: a thin wrapper around `PRWPersonSearchDataset` in query mode that applies the test-time transform to each crop before returning it, making it compatible with the standard `DataLoader` interface used during evaluation." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2026-03-05T10:42:15.061738Z", "iopub.status.busy": "2026-03-05T10:42:15.061449Z", "iopub.status.idle": "2026-03-05T10:42:15.085688Z", "shell.execute_reply": "2026-03-05T10:42:15.08494Z", "shell.execute_reply.started": "2026-03-05T10:42:15.061713Z" }, "id": "dataset_classes_cell", "trusted": true }, "outputs": [], "source": [ "class PRWPersonSearchDataset(Dataset):\n", " def __init__(self, root, mode='train', min_box_area=100):\n", " self.root = root\n", " self.mode = mode.lower()\n", " self.min_box_area = min_box_area\n", " self.frames_dir = os.path.join(root, 'frames')\n", " self.ann_dir = os.path.join(root, 'annotations')\n", " if mode == 'query':\n", " self.query_dir = os.path.join(root, 'query_box')\n", " self.query_info_file = os.path.join(root, 'query_info.txt')\n", " self._load_query_data()\n", " else:\n", " split_file = os.path.join(root, f'frame_{self.mode}.mat')\n", " if not os.path.exists(split_file):\n", " raise FileNotFoundError(f'Split file not found: {split_file}')\n", " self.ann_files = sorted(self._load_filenames(split_file))\n", " self.annotations = []\n", " self._build_annotations()\n", " print(f'[{self.mode.upper()}] Loaded {len(self)} samples')\n", "\n", " def _load_filenames(self, path):\n", " mat = scipy.io.loadmat(path)\n", " key = [k for k in mat.keys() if not k.startswith('__')][0]\n", " out = []\n", " for item in mat[key].flatten():\n", " name = str(item[0]) if isinstance(item, np.ndarray) else str(item)\n", " ann = name + '.jpg.mat'\n", " if os.path.exists(os.path.join(self.ann_dir, ann)):\n", " out.append(ann)\n", " return out\n", "\n", " def _extract_camera_id(self, img_name):\n", " try:\n", " if img_name.startswith('c'): return int(img_name[1])\n", " except Exception:\n", " pass\n", " return 1\n", "\n", " def _build_annotations(self):\n", " total = ambig = 0\n", " for af in tqdm(self.ann_files, desc=f'Loading {self.mode}'):\n", " img_name = af.replace('.mat', '').replace('.jpg', '') + '.jpg'\n", " img_path = os.path.join(self.frames_dir, img_name)\n", " mat_path = os.path.join(self.ann_dir, af)\n", " if not os.path.exists(img_path):\n", " continue\n", " img = cv2.imread(img_path)\n", " if img is None:\n", " continue\n", " H, W = img.shape[:2]\n", " vb, vp = [], []\n", " for box in scipy.io.loadmat(mat_path).get('box_new', []):\n", " pid = int(box[0])\n", " x1 = max(0, float(box[1]))\n", " y1 = max(0, float(box[2]))\n", " w = float(box[3])\n", " h = float(box[4])\n", " x2 = min(W, x1+w)\n", " y2 = min(H, y1+h)\n", " if w > 1 and h > 1 and (x2-x1)*(y2-y1) >= self.min_box_area:\n", " vb.append([x1,y1,x2,y2]); vp.append(pid)\n", " total += 1\n", " if pid == -2:\n", " ambig += 1\n", " self.annotations.append({\n", " 'img_name': img_name, 'img_path': img_path,\n", " 'boxes': np.array(vb, dtype=np.float32) if vb else np.zeros((0,4), dtype=np.float32),\n", " 'pids': np.array(vp, dtype=np.int32) if vp else np.zeros((0,), dtype=np.int32),\n", " 'cam_id': self._extract_camera_id(img_name), 'height': H, 'width': W,\n", " })\n", " print(f' Boxes: {total} Ambiguous: {ambig}')\n", "\n", " def _load_query_data(self):\n", " self.annotations = []\n", " with open(self.query_info_file) as f:\n", " lines = f.readlines()\n", " for line in lines:\n", " parts = line.strip().split()\n", " if len(parts) != 6: continue\n", " pid = int(parts[0])\n", " if pid == -2:\n", " continue\n", " x,y,w,h = float(parts[1]),float(parts[2]),float(parts[3]),float(parts[4])\n", " orig_name = parts[5]+'.jpg'\n", " crop_name = f'{pid}_{orig_name}'\n", " crop_path = os.path.join(self.query_dir, crop_name)\n", " if not os.path.exists(crop_path):\n", " continue\n", " img = cv2.imread(crop_path)\n", " if img is None:\n", " continue\n", " ch, cw = img.shape[:2]\n", " self.annotations.append({\n", " 'img_name': crop_name, 'img_path': crop_path,\n", " 'boxes': np.array([[x,y,x+w,y+h]], dtype=np.float32),\n", " 'pids': np.array([pid], dtype=np.int32),\n", " 'cam_id': self._extract_camera_id(orig_name), 'height': ch, 'width': cw,\n", " })\n", "\n", " def __len__(self):\n", " return len(self.annotations)\n", "\n", " def __getitem__(self, idx):\n", " ann = self.annotations[idx]\n", " img = cv2.imread(ann['img_path'])\n", " if img is None:\n", " raise ValueError(f'Image not found: {ann[\"img_path\"]}')\n", " return cv2.cvtColor(img, cv2.COLOR_BGR2RGB), ann\n", "\n", " def get_annotation(self, idx):\n", " return self.annotations[idx]\n", "\n", "\n", "class PRWReIDDataset(Dataset):\n", " def __init__(self, base_dataset, transform=None, include_ambiguous=False):\n", " self.base_dataset = base_dataset\n", " self.transform = transform\n", " self.samples = []\n", " self.pid_to_samples = defaultdict(list)\n", " for ii in tqdm(range(len(base_dataset)), desc='Building Re-ID dataset'):\n", " ann = base_dataset.get_annotation(ii)\n", " for box, pid in zip(ann['boxes'], ann['pids']):\n", " if pid > 0 or (pid == -2 and include_ambiguous):\n", " self.pid_to_samples[pid].append(len(self.samples))\n", " self.samples.append((ii, box, pid, ann['img_name']))\n", " self.valid_pids = sorted(p for p in self.pid_to_samples if p > 0)\n", " self.pid_to_label = {pid: i for i, pid in enumerate(self.valid_pids)}\n", " self.num_classes = len(self.valid_pids)\n", " print(f'Re-ID: {len(self.samples)} crops | {self.num_classes} IDs')\n", "\n", " def __len__(self):\n", " return len(self.samples)\n", "\n", " def __getitem__(self, idx):\n", " ii, box, pid, img_name = self.samples[idx]\n", " ann = self.base_dataset.get_annotation(ii)\n", " img = cv2.imread(ann['img_path'])\n", " if img is None:\n", " raise ValueError(f'Not found: {ann[\"img_path\"]}')\n", " img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n", " x1,y1 = max(0,int(box[0])), max(0,int(box[1]))\n", " x2,y2 = min(img.shape[1],int(box[2])), min(img.shape[0],int(box[3]))\n", " crop = img[y1:y2, x1:x2]\n", " if crop.size == 0:\n", " crop = np.zeros((64,32,3), dtype=np.uint8)\n", " if self.transform:\n", " crop = self.transform(image=crop)['image']\n", " else:\n", " crop = torch.from_numpy(crop).permute(2,0,1).float()/255.\n", " return crop, self.pid_to_label.get(pid,-1), pid, img_name\n", "\n", "\n", "class QueryDataset(Dataset):\n", " def __init__(self, base, transform):\n", " self.base=base; self.transform=transform\n", " def __len__(self):\n", " return len(self.base)\n", " def __getitem__(self, idx):\n", " img, ann = self.base[idx]\n", " if self.transform: img = self.transform(image=img)['image']\n", " return img, ann" ] }, { "cell_type": "markdown", "metadata": { "id": "aug_title" }, "source": [ "### Data Augmentation\n", "\n", "`build_transforms()` returns a pair of Albumentations pipelines: one for training and one for evaluation. The test transform applies only resize and ImageNet normalisation, ensuring deterministic and reproducible evaluation. The training transform is controlled by `cfg.aggressive_augmentation` and is available in two variants.\n", "\n", "- **Standard**: resize, horizontal flip, and mild colour jitter. Suitable as a lightweight baseline.\n", "- **Aggressive**: a richer pipeline designed to simulate the photometric and geometric degradations typical of outdoor surveillance footage. It includes:\n", " - `ColorJitter`, `RandomBrightnessContrast`, and `HueSaturationValue` to cover a wide range of illumination conditions across cameras;\n", " - `CoarseDropout` (1 to 5 rectangular holes) as a proxy for random occlusion, encouraging the model to learn features that are not localised to a single body region;\n", " - `GaussNoise` / `ISONoise` and `MotionBlur` / `GaussianBlur` (applied via `OneOf` to avoid redundant degradations) to simulate sensor noise and motion artefacts;\n", " - `RandomShadow` and `RandomFog` to cover outdoor lighting edge cases such as cast shadows and low-visibility conditions.\n", "\n", "All transforms normalise using ImageNet statistics (`mean=[0.485, 0.456, 0.406]`, `std=[0.229, 0.224, 0.225]`), consistent with the pre-training regime of the ViT backbone.\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2026-03-05T10:42:20.976697Z", "iopub.status.busy": "2026-03-05T10:42:20.976324Z", "iopub.status.idle": "2026-03-05T10:42:21.000222Z", "shell.execute_reply": "2026-03-05T10:42:20.999215Z", "shell.execute_reply.started": "2026-03-05T10:42:20.976665Z" }, "id": "aug_cell", "outputId": "2167c71e-c92d-4dec-e923-d8da55e60bd8", "trusted": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "AGGRESSIVE augmentation\n" ] } ], "source": [ "def build_transforms(cfg):\n", " norm = A.Normalize(mean=[0.485,0.456,0.406], std=[0.229,0.224,0.225])\n", " if cfg.aggressive_augmentation:\n", " train_tf = A.Compose([\n", " A.Resize(cfg.img_height, cfg.img_width),\n", " A.HorizontalFlip(p=0.5),\n", " A.ColorJitter(brightness=0.3, contrast=0.3, saturation=0.3, hue=0.15, p=0.6),\n", " A.RandomBrightnessContrast(0.2, 0.2, p=0.5),\n", " A.HueSaturationValue(15, 30, 20, p=0.5),\n", " A.CoarseDropout(num_holes_range=(1,5), hole_height_range=(8,32),\n", " hole_width_range=(8,16), p=0.5),\n", " A.OneOf([A.GaussNoise(std_range=(0.04,0.2),p=1),\n", " A.ISONoise(color_shift=(0.01,0.05),intensity=(0.1,0.5),p=1)], p=0.4),\n", " A.OneOf([A.MotionBlur(blur_limit=5,p=1),\n", " A.GaussianBlur(blur_limit=(3,7),p=1)], p=0.3),\n", " A.RandomShadow(shadow_roi=(0,0,1,1), num_shadows_limit=(1,2), p=0.3),\n", " A.RandomFog(fog_coef_range=(0.1,0.3), alpha_coef=0.1, p=0.2),\n", " norm, ToTensorV2(),\n", " ])\n", " print('AGGRESSIVE augmentation')\n", " else:\n", " train_tf = A.Compose([\n", " A.Resize(cfg.img_height, cfg.img_width), A.HorizontalFlip(p=0.5),\n", " A.ColorJitter(0.2,0.2,0.2,0.1,p=0.5), norm, ToTensorV2(),\n", " ])\n", " print('STANDARD augmentation')\n", " test_tf = A.Compose([A.Resize(cfg.img_height,cfg.img_width), norm, ToTensorV2()])\n", " return train_tf, test_tf\n", "\n", "train_transform, test_transform = build_transforms(cfg)" ] }, { "cell_type": "markdown", "metadata": { "id": "BD43fLkcLeEl" }, "source": [ "### Dataset Instantiation and DataLoaders\n", "\n", "The three dataset splits are instantiated here following the official PRW protocol. Each base `PRWPersonSearchDataset` is then wrapped by the appropriate crop-level dataset class before being passed to a `DataLoader`.\n", "\n", "- The **train** loader uses `shuffle=True` and `drop_last=True` to ensure that every batch has a consistent size, which is required by batch-level metric learning losses such as ArcFace and TripletMargin. Ambiguous identities (pid `-2`) are included as additional negatives if `cfg.use_ambiguous_as_negatives` is set.\n", "- The **test** and **query** loaders use `shuffle=False` to guarantee that feature extraction order is deterministic and consistent with the index arrays used in `evaluate_reid()`. Ambiguous identities are always included in the gallery to match the standard PRW evaluation protocol.\n", "- `pin_memory=True` is set on all loaders to accelerate host-to-device transfers on the T4 GPU.\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2026-03-05T10:42:34.170173Z", "iopub.status.busy": "2026-03-05T10:42:34.169855Z", "iopub.status.idle": "2026-03-05T10:48:13.173517Z", "shell.execute_reply": "2026-03-05T10:48:13.172943Z", "shell.execute_reply.started": "2026-03-05T10:42:34.170145Z" }, "id": "3QEPcS1MLeEl", "outputId": "caf006b7-ce1a-460a-8b3d-d3f8b9baff78", "trusted": true }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Loading train: 100%|██████████| 5704/5704 [02:18<00:00, 41.20it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Boxes: 18031 Ambiguous: 3136\n", "[TRAIN] Loaded 5704 samples\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Loading test: 100%|██████████| 6112/6112 [02:28<00:00, 41.17it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Boxes: 24898 Ambiguous: 5902\n", "[TEST] Loaded 6112 samples\n", "[QUERY] Loaded 2057 samples\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Building Re-ID dataset: 100%|██████████| 5704/5704 [00:00<00:00, 277425.12it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Re-ID: 18031 crops | 483 IDs\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Building Re-ID dataset: 100%|██████████| 6112/6112 [00:00<00:00, 245100.83it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Re-ID: 24898 crops | 544 IDs\n", "Train : 18,031 crops | 483 IDs | 140 batches\n", "Test : 24,898 crops\n", "Query : 2,057 crops\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] } ], "source": [ "train_base = PRWPersonSearchDataset(cfg.dataset_root, mode='train')\n", "test_base = PRWPersonSearchDataset(cfg.dataset_root, mode='test')\n", "query_base = PRWPersonSearchDataset(cfg.dataset_root, mode='query')\n", "\n", "train_reid = PRWReIDDataset(train_base, transform=train_transform,\n", " include_ambiguous=cfg.use_ambiguous_as_negatives)\n", "test_reid = PRWReIDDataset(test_base, transform=test_transform, include_ambiguous=True)\n", "query_dataset = QueryDataset(query_base, test_transform)\n", "\n", "train_loader = DataLoader(train_reid, batch_size=cfg.batch_size, shuffle=True,\n", " num_workers=cfg.num_workers, pin_memory=True, drop_last=True)\n", "test_loader = DataLoader(test_reid, batch_size=cfg.batch_size, shuffle=False,\n", " num_workers=cfg.num_workers, pin_memory=True)\n", "query_loader = DataLoader(query_dataset, batch_size=cfg.batch_size, shuffle=False,\n", " num_workers=cfg.num_workers, pin_memory=True)\n", "\n", "print(f'Train : {len(train_reid):,} crops | {train_reid.num_classes} IDs | {len(train_loader)} batches')\n", "print(f'Test : {len(test_reid):,} crops')\n", "print(f'Query : {len(query_dataset):,} crops')" ] }, { "cell_type": "markdown", "metadata": { "id": "wknDo1wbLeEl" }, "source": [ "## 4. Training, Evaluation and Visualization Pipeline" ] }, { "cell_type": "markdown", "metadata": { "id": "model_utils_title" }, "source": [ "### Model and Training Utilities\n", "\n", "This section defines the factory functions used to instantiate, configure, and optimise PersonViT across all experimental phases. All training runs are assembled exclusively from these primitives, ensuring a consistent and reproducible setup.\n", "\n", "- `create_personvit_model()`: instantiates a PersonViT model from a given checkpoint by deep-copying the TransReID config object and overriding only the fields relevant to the current run (architecture type, embedding dimension, input resolution, pre-trained weights path). The Jigsaw Patch Module is disabled (`JPM=False`) and `NECK_FEAT='after'` ensures the post-BNNeck embedding is used at inference time. The classification head is replaced with `nn.Identity()` to expose the raw embedding vector for metric learning.\n", "\n", "- `freeze_all_backbone()`, `unfreeze_all()`, `freeze_backbone_unfreeze_head()`: the three fine-tuning strategy primitives used in Phase 1. They act on `model.base` (the ViT transformer stack) by toggling `requires_grad` on its parameters. `freeze_backbone_unfreeze_head()` combines both: it freezes the backbone and then re-enables gradients for all parameters outside `model.base` (BNNeck, projection layer).\n", "\n", "- `param_stats()`: prints the ratio of trainable to total parameters for a given model configuration, providing a quick sanity check that the intended freeze strategy has been applied correctly.\n", "\n", "- `build_optimizer_and_scheduler()`: constructs an AdamW optimiser over all trainable parameters, including any extra modules (e.g. the ArcFace weight matrix). The learning rate schedule combines a linear warm-up phase with cosine annealing, implemented as a step-level `LambdaLR` to allow sub-epoch scheduling granularity.\n", "\n", "- `build_loss_and_miner` returns the loss function, an optional hard-pair miner, and an optional auxiliary optimiser for the three supported metric learning objectives:\n", " - **TripletMarginLoss** with `BatchHardMiner`, which selects the hardest positive and hardest negative in each batch;\n", " - **ArcFaceLoss**, a proxy-based loss that maintains a learnable class weight matrix and therefore requires its own AdamW optimiser updated jointly with the backbone;\n", " - **NTXentLoss** (Normalized Temperature-scaled Cross Entropy), a contrastive loss derived from SimCLR that maximises cosine similarity between positive pairs (same identity) while treating all remaining samples in the batch as negatives, normalised via a softmax scaled by temperature `cfg.ntxent_temperature`. Unlike the triplet losses, no explicit miner is required: all in-batch negatives are used implicitly, making the loss well-suited to large batches where many hard negatives are naturally present.\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2026-03-07T15:46:39.383608Z", "iopub.status.busy": "2026-03-07T15:46:39.383335Z", "iopub.status.idle": "2026-03-07T15:46:39.395366Z", "shell.execute_reply": "2026-03-07T15:46:39.394482Z", "shell.execute_reply.started": "2026-03-07T15:46:39.383590Z" }, "id": "model_utils_cell", "trusted": true }, "outputs": [], "source": [ "def create_personvit_model(pretrain_path, transformer_type, embedding_dim,\n", " num_classes, reid_cfg_obj):\n", " mc = copy.deepcopy(reid_cfg_obj)\n", " mc.MODEL.NAME = 'transformer'\n", " mc.MODEL.TRANSFORMER_TYPE = transformer_type\n", " mc.MODEL.JPM = False\n", " mc.MODEL.PRETRAIN_CHOICE = 'self'\n", " mc.MODEL.PRETRAIN_PATH = pretrain_path\n", " mc.MODEL.FEAT_DIM = embedding_dim\n", " mc.INPUT.SIZE_TRAIN = [cfg.img_height, cfg.img_width]\n", " mc.INPUT.SIZE_TEST = [cfg.img_height, cfg.img_width]\n", " mc.TEST.NECK_FEAT = 'after'\n", " model = make_model(mc, num_class=num_classes, camera_num=0, view_num=0)\n", " model.classifier = nn.Identity()\n", " return model.to(device)\n", "\n", "\n", "def freeze_all_backbone(model):\n", " for p in model.base.parameters(): p.requires_grad = False\n", "\n", "def unfreeze_all(model):\n", " for p in model.parameters(): p.requires_grad = True\n", "\n", "def freeze_backbone_unfreeze_head(model):\n", " freeze_all_backbone(model)\n", " for name, p in model.named_parameters():\n", " if 'base.' not in name: p.requires_grad = True\n", "\n", "def param_stats(model, tag=''):\n", " total = sum(p.numel() for p in model.parameters())\n", " trainable= sum(p.numel() for p in model.parameters() if p.requires_grad)\n", " print(f'[{tag}] trainable {trainable:,} / {total:,} ({100*trainable/total:.1f}%)')\n", " return total, trainable\n", "\n", "\n", "def build_optimizer_and_scheduler(model, extra_modules, lr, wd,\n", " num_epochs, warmup_epochs, warmup_factor):\n", " params = [{'params': [p for p in model.parameters() if p.requires_grad], 'lr': lr}]\n", " for m in extra_modules:\n", " params.append({'params': list(m.parameters()), 'lr': lr})\n", " optimizer = torch.optim.AdamW(params, lr=lr, weight_decay=wd)\n", " total_steps = len(train_loader) * num_epochs\n", " warmup_steps = len(train_loader) * warmup_epochs\n", "\n", " def lr_lambda(step):\n", " if step < warmup_steps:\n", " return warmup_factor + (1.-warmup_factor)*step/max(warmup_steps,1)\n", " prog = (step-warmup_steps)/max(total_steps-warmup_steps,1)\n", " return 0.5*(1.+math.cos(math.pi*prog))\n", "\n", " scheduler = torch.optim.lr_scheduler.LambdaLR(optimizer, lr_lambda)\n", " print(f'AdamW LR={lr} WD={wd} warmup={warmup_epochs} ep total={num_epochs} ep')\n", " return optimizer, scheduler\n", "\n", "\n", "def build_loss_and_miner(loss_type, num_classes, embedding_dim):\n", " if loss_type == 'triplet':\n", " return pml_losses.TripletMarginLoss(margin=cfg.triplet_margin), pml_miners.BatchHardMiner(), None\n", " if loss_type == 'arcface':\n", " loss_fn = pml_losses.ArcFaceLoss(\n", " num_classes=num_classes, embedding_size=embedding_dim,\n", " margin=cfg.arcface_margin, scale=cfg.arcface_scale,\n", " ).to(device)\n", " loss_opt = torch.optim.AdamW(loss_fn.parameters(), lr=1e-3, weight_decay=1e-4)\n", " return loss_fn, None, loss_opt\n", " if loss_type == 'angular':\n", " return pml_losses.AngularLoss(alpha=cfg.angular_alpha), pml_miners.AngularMiner(angle=cfg.angular_alpha), None\n", " raise ValueError(f'Unknown loss: {loss_type}')" ] }, { "cell_type": "markdown", "metadata": { "id": "training_loop_title" }, "source": [ "### Training Loop and Fine-Tuning Orchestration\n", "\n", "This section implements the full training pipeline through three layered functions, from the single-batch update up to the complete multi-phase experiment runner.\n", "\n", "- `train_one_epoch()`: executes a single pass over the training set. Samples with label `-1` (identity not in the Re-ID label map) are masked out before the forward pass to avoid corrupting the metric loss. Embeddings are extracted from the first element of the model output tuple when the model returns multiple tensors. The miner, when present, selects informative pairs or triplets before passing indices to the loss function. The forward pass and loss computation run under `torch.amp.autocast`, which selectively casts operations to 16-bit floating point (fp16). Compared to the standard 32-bit representation (fp32), fp16 halves memory usage and exploits the T4 Tensor Cores for faster matrix multiplications, at the cost of a significantly reduced dynamic range: fp16 can only represent values down to approximately 6e-5, whereas fp32 reaches 1.2e-38. Gradients in deep networks are often very small and fall below this threshold, producing zeros (underflow) that silently corrupt the update. `GradScaler` addresses this by multiplying the loss by a large scalar factor before backpropagation, shifting gradient magnitudes into the representable fp16 range, and then dividing the gradients back down before the optimiser step. The same scaling is applied to the optional auxiliary optimiser required by ArcFaceLoss, which maintains its own learnable weight matrix. The scheduler is stepped at batch level to allow the cosine annealing schedule to operate at sub-epoch granularity. Per-batch losses and learning rates are recorded and returned for plotting.\n", "\n", "- `train_model()`: orchestrates training over all epochs. A periodic evaluation is run every `eval_every` epochs and always at the final epoch; the model is explicitly set back to `train()` mode after each evaluation to avoid inadvertently leaving it in eval mode. The best checkpoint by mAP is saved to disk together with the ArcFace weight matrix state when applicable. All epoch-level and batch-level metrics are accumulated in the `history` dictionary, which is returned at the end and stored in `RESULTS` for later plotting.\n", "\n", "- `run_finetuning()`: the top-level experiment runner that assembles a complete run from a strategy key and a loss type. It resolves all defaults (transformer type, embedding dimension, pretrained weights) so that the same function can be used for ViT-Base runs in Phases 1 and 2 and for the ViT-Small run in Phase 3 via `run_key_override`. If the target `run_key` is already present in `RESULTS`, the run is skipped entirely to avoid redundant computation when resuming a session. When `reset_head=True` (Freeze+Retrain strategy), all `Linear` and `BatchNorm1d` layers outside the backbone are re-initialised before training, ensuring that the head starts from a random state rather than inheriting source-domain weights. After training, the best checkpoint is reloaded before final evaluation to guarantee that reported metrics correspond to the best model seen during training and not the last epoch.\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2026-03-05T10:48:13.188394Z", "iopub.status.busy": "2026-03-05T10:48:13.187913Z", "iopub.status.idle": "2026-03-05T10:48:13.210565Z", "shell.execute_reply": "2026-03-05T10:48:13.210028Z", "shell.execute_reply.started": "2026-03-05T10:48:13.188358Z" }, "id": "training_loop_cell", "trusted": true }, "outputs": [], "source": [ "def train_one_epoch(model, loss_fn, miner, optimizer, scheduler,\n", " scaler, epoch, num_epochs, loss_optimizer=None):\n", " model.train()\n", " epoch_loss, batch_losses, batch_lrs = 0., [], []\n", "\n", " for images, labels, _pids, _fnames in tqdm(\n", " train_loader, desc=f'Ep {epoch+1}/{num_epochs}'):\n", " mask = labels >= 0\n", " if mask.sum() == 0: continue\n", " images, labels = images[mask].to(device), labels[mask].to(device)\n", "\n", " with torch.amp.autocast(device_type='cuda', enabled=cfg.use_amp):\n", " out = model(images)\n", " embeddings = out[0] if isinstance(out, tuple) else out\n", " indices = miner(embeddings, labels) if miner is not None else None\n", " loss = (loss_fn(embeddings, labels, indices)\n", " if indices is not None else loss_fn(embeddings, labels))\n", "\n", " optimizer.zero_grad()\n", " if loss_optimizer: loss_optimizer.zero_grad()\n", " scaler.scale(loss).backward()\n", " scaler.step(optimizer)\n", " if loss_optimizer: scaler.step(loss_optimizer)\n", " scaler.update()\n", " scheduler.step()\n", "\n", " batch_losses.append(loss.item())\n", " batch_lrs.append(optimizer.param_groups[0]['lr'])\n", " epoch_loss += loss.item()\n", "\n", " avg = epoch_loss / max(len(batch_losses), 1)\n", " return {'epoch_loss': avg, 'batch_losses': batch_losses, 'batch_lrs': batch_lrs}\n", "\n", "\n", "def train_model(model, loss_fn, miner, optimizer, scheduler, num_epochs,\n", " loss_optimizer=None, checkpoint_name='best.pth', eval_every=5):\n", " print('\\n' + '='*60 + f'\\nFINE-TUNING: {checkpoint_name}\\n' + '='*60)\n", " scaler = torch.amp.GradScaler('cuda', enabled=cfg.use_amp)\n", " best_map = 0.\n", " history = {'train_loss':[], 'lr':[], 'batch_loss':[], 'batch_lr':[],\n", " 'eval_map':[], 'eval_rank1':[], 'eval_epochs':[]}\n", "\n", " for epoch in range(num_epochs):\n", " stats = train_one_epoch(model, loss_fn, miner, optimizer, scheduler,\n", " scaler, epoch, num_epochs, loss_optimizer)\n", " history['train_loss'].append(stats['epoch_loss'])\n", " history['lr'].append(optimizer.param_groups[0]['lr'])\n", " history['batch_loss'].extend(stats['batch_losses'])\n", " history['batch_lr'].extend(stats['batch_lrs'])\n", " print(f' Ep {epoch+1:>3}/{num_epochs} '\n", " f'loss={stats[\"epoch_loss\"]:.4f} '\n", " f'lr={optimizer.param_groups[0][\"lr\"]:.2e}')\n", "\n", " if (epoch+1) % eval_every == 0 or epoch == num_epochs-1:\n", " res = run_evaluation(model, query_loader, test_loader)\n", " history['eval_map'].append(res['mAP'])\n", " history['eval_rank1'].append(res['rank1'])\n", " history['eval_epochs'].append(epoch+1)\n", " if res['mAP'] > best_map:\n", " best_map = res['mAP']\n", " ckpt = {'epoch': epoch+1, 'model_state_dict': model.state_dict(), 'results': res}\n", " if loss_optimizer: ckpt['loss_state_dict'] = loss_fn.state_dict()\n", " torch.save(ckpt, os.path.join(cfg.save_dir, checkpoint_name))\n", " print(f' -> Best checkpoint saved (mAP {best_map*100:.2f}%)')\n", " model.train()\n", "\n", " print(f'\\nDone. Best mAP: {best_map*100:.2f}%')\n", " return history\n", "\n", "def run_finetuning(strategy_key, loss_type, transformer_type=None, embedding_dim=None, pretrain_path=None, run_key_override=None):\n", " sc = STRATEGY_CFG[strategy_key]\n", " t_type = transformer_type or cfg.vit_small_transformer_type\n", " emb_dim = embedding_dim or cfg.vit_small_embedding_dim\n", " pretrain = pretrain_path or cfg.pretrained_models_small[cfg.best_pretrain_key]['path']\n", " run_key = run_key_override or f'{strategy_key}_{loss_type}'\n", " print(t_type, emb_dim, pretrain, run_key)\n", "\n", " if run_key in RESULTS:\n", " print(f'[SKIP] {run_key} already in RESULTS - delete it to re-run.')\n", " return\n", "\n", " print(f'\\n' + '#'*70)\n", " print(f'# RUN: {run_key} | {sc[\"label\"]} x {loss_type.upper()}')\n", " print('#'*70)\n", "\n", " model = create_personvit_model(pretrain, t_type, emb_dim, train_reid.num_classes, reid_cfg)\n", " sc['freeze_fn'](model)\n", "\n", " if sc['reset_head']:\n", " for name, module in model.named_modules():\n", " if 'base.' not in name and isinstance(module, (nn.Linear, nn.BatchNorm1d)):\n", " module.reset_parameters()\n", "\n", " total_p, trainable_p = param_stats(model, run_key)\n", "\n", " loss_fn, miner, loss_opt = build_loss_and_miner(loss_type, train_reid.num_classes, emb_dim)\n", " extra = [loss_fn] if loss_opt is not None else []\n", " optimizer, scheduler = build_optimizer_and_scheduler(\n", " model, extra,\n", " lr=sc['lr'], wd=sc['wd'], num_epochs=sc['epochs'],\n", " warmup_epochs=sc['warmup_ep'], warmup_factor=sc['warmup_factor'])\n", "\n", " history = train_model(model, loss_fn, miner, optimizer, scheduler, sc['epochs'], loss_optimizer=loss_opt, checkpoint_name=f'best_{run_key}.pth', eval_every=5)\n", "\n", " # Reload best checkpoint\n", " ckpt_path = os.path.join(cfg.save_dir, f'best_{run_key}.pth')\n", " if os.path.exists(ckpt_path):\n", " ckpt = torch.load(ckpt_path, map_location=device)\n", " model.load_state_dict(ckpt['model_state_dict'])\n", "\n", " final_res = run_evaluation(model, query_loader, test_loader)\n", " hw = profile_model(model)\n", "\n", " RESULTS[run_key] = {\n", " **final_res, **hw,\n", " 'history': history,\n", " 'strategy': sc['label'],\n", " 'loss': loss_type,\n", " 'total_params': total_p,\n", " 'trainable_params': trainable_p,\n", " }\n", " save_results()\n", "\n", " plot_training_history(history, len(train_loader), sc['epochs'], save_path=os.path.join(cfg.save_dir, f'curves_{run_key}.png'), title_prefix = f'{sc[\"label\"]} | {loss_type.capitalize()} - ',)\n", " print(f'\\n{run_key} -> mAP {final_res[\"mAP\"]*100:.2f}% '\n", " f'Rank-1 {final_res[\"rank1\"]*100:.2f}% '\n", " f'Trainable params: {trainable_p:,}')\n", "\n", " del model; torch.cuda.empty_cache()" ] }, { "cell_type": "markdown", "metadata": { "id": "eval_title" }, "source": [ "### Evaluation and Profiling\n", "\n", "This section implements the full Re-ID evaluation pipeline and the efficiency profiling routine used across all experimental phases.\n", "\n", "- `extract_features()`: runs inference over an entire dataloader in a single pass under `@torch.no_grad()` to suppress gradient computation and reduce memory usage. It handles both the four-element tuples returned by `PRWReIDDataset` and the two-element tuples returned by `QueryDataset`, making it compatible with both gallery and query loaders. Embeddings are L2-normalised before being accumulated, ensuring that cosine similarity can be computed as a simple dot product in `run_evaluation()`.\n", "\n", "- `evaluate_reid()`: implements the standard CMC and mAP evaluation protocol for Re-ID. For each query, the gallery is ranked by ascending cosine distance. If `exclude_self=True`, gallery entries that originate from the same image as the query are removed from the ranked list before scoring; the check is performed on both the exact filename and the frame name embedded in the query crop filename (format `pid_framename.jpg`), correctly handling the PRW naming convention. The CMC curve is computed as the cumulative sum of a binary relevance vector capped at 1, averaged over all valid queries. The AP for each query is computed as the precision-at-k averaged only over positions where a correct match is retrieved, following the standard formula. Queries with no matching identity in the gallery are skipped and not counted towards `num_valid_queries`.\n", "\n", "- `run_evaluation()`: orchestrates the full evaluation by calling `extract_features()` on both the query and gallery loaders, assembling the distance matrix as `1 - Q * G^T` (cosine distance from L2-normalised embeddings), and delegating scoring to `evaluate_reid()`.\n", "\n", "- `profile_model()`: measures computational cost along two dimensions. Static complexity is estimated via `thop`, which counts multiply-accumulate operations (MACs) on a single dummy input; GFLOPs are reported as `2 * MACs` following the standard convention. Runtime latency is measured over `n_runs=100` forward passes after `n_warmup=10` warm-up iterations to allow the GPU to reach a stable clock state. On CUDA, timing uses `torch.cuda.Event` with explicit synchronisation to obtain accurate GPU-side measurements rather than host-side wall-clock time." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2026-03-05T10:48:13.212216Z", "iopub.status.busy": "2026-03-05T10:48:13.211968Z", "iopub.status.idle": "2026-03-05T10:48:13.229416Z", "shell.execute_reply": "2026-03-05T10:48:13.228824Z", "shell.execute_reply.started": "2026-03-05T10:48:13.212196Z" }, "id": "eval_cell", "trusted": true }, "outputs": [], "source": [ "@torch.no_grad()\n", "def extract_features(model, dataloader):\n", " model.eval()\n", " all_features, all_pids, all_fnames = [], [], []\n", " for batch in tqdm(dataloader, desc='Extracting'):\n", " if len(batch) == 4:\n", " images, _labels, pids, fnames = batch\n", " else:\n", " images, anns = batch\n", " if isinstance(anns, dict):\n", " pids = anns['pids'][:, 0].cpu()\n", " fnames = anns['img_name']\n", " else:\n", " pids = torch.tensor([a['pids'][0] for a in anns])\n", " fnames = [a['img_name'] for a in anns]\n", " images = images.to(device)\n", " out = model(images)\n", " feats = out[0] if isinstance(out, tuple) else out\n", " feats = F.normalize(feats, p=2, dim=1)\n", " all_features.append(feats.cpu())\n", " all_pids.append(pids.cpu() if isinstance(pids, torch.Tensor) else torch.tensor(pids))\n", " all_fnames.extend(fnames if isinstance(fnames, (list,tuple)) else fnames.tolist())\n", " return torch.cat(all_features, 0), torch.cat(all_pids, 0).numpy(), all_fnames\n", "\n", "\n", "def evaluate_reid(distmat, q_pids, g_pids, q_fnames, g_fnames, exclude_self=True):\n", " all_cmc, all_AP, nv = [], [], 0\n", " for qi in range(distmat.shape[0]):\n", " qpid, qfname = q_pids[qi], q_fnames[qi]\n", " if not np.any(g_pids == qpid): continue\n", " order = np.argsort(distmat[qi])\n", " if exclude_self:\n", " order = np.array([i for i in order\n", " if g_fnames[i] != qfname and\n", " qfname.split('_',1)[-1] != g_fnames[i]])\n", " m = (g_pids[order] == qpid).astype(np.int32)\n", " if m.sum() == 0: continue\n", " nv += 1\n", " cmc = m.cumsum(); cmc[cmc>1] = 1; all_cmc.append(cmc[:50])\n", " tmp = m.cumsum()/(np.arange(len(m))+1.)*m\n", " all_AP.append(tmp.sum()/m.sum())\n", " if nv == 0:\n", " return {'mAP':0., 'rank1':0., 'rank5':0., 'rank10':0., 'num_valid_queries':0}\n", " cmc = np.array(all_cmc, dtype=np.float32).sum(0)/nv\n", " return {\n", " 'mAP': float(np.mean(all_AP)),\n", " 'rank1': float(cmc[0]),\n", " 'rank5': float(cmc[4] if len(cmc)>4 else cmc[-1]),\n", " 'rank10':float(cmc[9] if len(cmc)>9 else cmc[-1]),\n", " 'num_valid_queries': nv,\n", " }\n", "\n", "\n", "def run_evaluation(model, q_loader, g_loader):\n", " print('\\n' + '='*60 + '\\nEVALUATION\\n' + '='*60)\n", " qf, qp, qfn = extract_features(model, q_loader)\n", " gf, gp, gfn = extract_features(model, g_loader)\n", " distmat = (1 - torch.mm(qf, gf.t())).numpy()\n", " res = evaluate_reid(distmat, qp, gp, qfn, gfn,\n", " exclude_self=cfg.exclude_query_from_gallery)\n", " print(f' mAP : {res[\"mAP\"]*100:.2f}%')\n", " print(f' Rank-1 : {res[\"rank1\"]*100:.2f}%')\n", " print(f' Rank-5 : {res[\"rank5\"]*100:.2f}%')\n", " print(f' Rank-10: {res[\"rank10\"]*100:.2f}%')\n", " print(f' Valid Q: {res[\"num_valid_queries\"]}')\n", " print('='*60)\n", " return res\n", "\n", "\n", "def profile_model(model, n_warmup=10, n_runs=100):\n", " model.eval()\n", " dummy = torch.randn(1, 3, cfg.img_height, cfg.img_width).to(device)\n", " macs, params = thop_profile(model, inputs=(dummy,), verbose=False)\n", " if device.type == 'cuda':\n", " s, e = torch.cuda.Event(enable_timing=True), torch.cuda.Event(enable_timing=True)\n", " with torch.no_grad():\n", " for _ in range(n_warmup): model(dummy)\n", " times = []\n", " with torch.no_grad():\n", " for _ in range(n_runs):\n", " s.record(); model(dummy); e.record()\n", " torch.cuda.synchronize()\n", " times.append(s.elapsed_time(e))\n", " else:\n", " with torch.no_grad():\n", " for _ in range(n_warmup): model(dummy)\n", " times = []\n", " with torch.no_grad():\n", " for _ in range(n_runs):\n", " t0 = time.perf_counter(); model(dummy)\n", " times.append((time.perf_counter()-t0)*1000)\n", " ms = float(np.mean(times))\n", " _, pfmt = clever_format([macs, params], '%.3f')\n", " print(f' Params : {pfmt} ({int(params):,})')\n", " print(f' GFLOPs : {macs*2/1e9:.2f}')\n", " print(f' Latency: {ms:.2f} ms/img {1000/ms:.1f} img/s')\n", " return {'total_params': int(params), 'flops_giga': macs*2/1e9,\n", " 'inference_ms': ms, 'throughput': 1000./ms}" ] }, { "cell_type": "markdown", "metadata": { "id": "plotting_title" }, "source": [ "### Plotting Utilities\n", "\n", "This section defines the visualisation functions used consistently across all experimental phases. A shared `PALETTE` of ten perceptually distinct colours ensures visual consistency when comparing multiple runs in the same figure. All figures are saved to `cfg.plots_dir` at 150 dpi when a `save_path` or `save_dir` is provided.\n", "\n", "- `plot_training_history()`: produces a 2x3 grid of training diagnostics for a single fine-tuning run. The six panels cover epoch-level loss, batch-level loss with a moving-average smoother of window size `w = min(50, n_batches // 4)` to reduce noise, epoch-level and batch-level learning rate on a logarithmic scale (with vertical dashed lines marking epoch boundaries in the batch-level panel), and validation mAP and Rank-1 at the epochs where evaluation was performed. The logarithmic LR scale makes the warm-up and cosine decay phases immediately readable.\n", "\n", "- `_radar_chart()`: renders a polar chart with four vertices (mAP, Rank-1, Rank-5, Rank-10), each scaled to the range [0, 100]. The polygon is closed by appending the first angle to the end of the angle list. Each model is drawn as a filled overlay with low alpha, allowing multiple models to be superimposed without occlusion. This view is particularly effective for identifying trade-offs between top-1 precision and recall at higher ranks.\n", "\n", "- `plot_comparison()`: the main multi-run comparison function, called at the end of each phase. It produces three complementary views of the same result set:\n", " - a **grouped bar chart** with annotated bar labels comparing mAP and Rank-1 across all runs;\n", " - a **heatmap** of mAP indexed by fine-tuning strategy (rows) and loss function (columns), rendered only when the result dictionary contains keys in the expected `{strategy}_{loss}` format. Cells with no corresponding run are left blank (`NaN`). This view is most informative after Phase 2, when the full strategy-loss grid is populated;\n", " - a **radar chart** via `_radar_chart()` for a holistic four-metric comparison.\n", "- **`plot_best_small_vs_base`** is the scale-up comparison function called after Phase 3.\n", " It automatically selects the best-performing ViT-Small run (highest mAP among\n", " `full_*`, `partial_*`, `freeze_*` keys) and the best ViT-Base run (`vitbase_*` keys),\n", " then produces a two-panel figure:\n", " - a grouped bar chart comparing seven dimensions side-by-side (mAP, Rank-1, Rank-5,\n", " Rank-10, latency in ms, GFLOPs, and parameter count in millions), with annotated bar\n", " labels for each value;\n", " - a delta table showing, for every metric, the Small value, the Base value, the signed\n", " delta, and a *Winner* column highlighted in blue (Small) or orange (Base) to make\n", " trade-offs immediately legible.\n", " The figure is saved as `best_small_vs_base.png` and constitutes the primary artefact for\n", " the cost-benefit analysis that motivates the small-first experimental design.\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2026-03-07T15:57:42.972035Z", "iopub.status.busy": "2026-03-07T15:57:42.971625Z", "iopub.status.idle": "2026-03-07T15:57:42.999907Z", "shell.execute_reply": "2026-03-07T15:57:42.998154Z", "shell.execute_reply.started": "2026-03-07T15:57:42.972000Z" }, "id": "plotting_cell", "trusted": true }, "outputs": [], "source": [ "plt.style.use('seaborn-v0_8-darkgrid')\n", "rcParams.update({'font.size':10, 'axes.titlesize':12, 'figure.titlesize':13})\n", "PALETTE = ['#2E86AB','#A23B72','#F18F01','#C73E1D','#6A994E',\n", " '#BC4B51','#5F4B8B','#E08D79','#1B998B','#E84855']\n", "\n", "\n", "def plot_training_history(history, n_batches_per_epoch, num_epochs,\n", " save_path=None, title_prefix=''):\n", " if not history['train_loss']:\n", " print('Empty history - nothing to plot.'); return\n", "\n", " epochs = range(1, len(history['train_loss'])+1)\n", " steps = range(1, len(history['batch_loss'])+1)\n", " w = min(50, max(1, len(history['batch_loss'])//4))\n", "\n", " fig = plt.figure(figsize=(18, 10))\n", " fig.suptitle(f'{title_prefix}Training Curves', fontweight='bold')\n", "\n", " ax = plt.subplot(2,3,1)\n", " ax.plot(epochs, history['train_loss'], 'b-o', lw=2, ms=5)\n", " ax.set(xlabel='Epoch', ylabel='Loss', title='Loss / Epoch'); ax.grid(True, alpha=.3)\n", "\n", " ax = plt.subplot(2,3,2)\n", " ax.plot(steps, history['batch_loss'], 'b-', lw=.4, alpha=.3, label='Raw')\n", " if len(history['batch_loss']) >= w:\n", " sm = np.convolve(history['batch_loss'], np.ones(w)/w, mode='valid')\n", " ax.plot(range(w, len(history['batch_loss'])+1), sm, 'r-', lw=2, label=f'Smooth ({w})')\n", " ax.set(xlabel='Batch', ylabel='Loss', title='Loss / Batch')\n", " ax.grid(True, alpha=.3); ax.legend()\n", "\n", " ax = plt.subplot(2,3,3)\n", " ax.plot(epochs, history['lr'], 'r-o', lw=2, ms=5)\n", " ax.set(xlabel='Epoch', ylabel='LR', title='LR / Epoch')\n", " ax.set_yscale('log'); ax.grid(True, alpha=.3, which='both')\n", "\n", " ax = plt.subplot(2,3,4)\n", " ax.plot(steps, history['batch_lr'], 'r-', lw=1)\n", " ax.set(xlabel='Batch', ylabel='LR', title='LR / Batch')\n", " ax.set_yscale('log'); ax.grid(True, alpha=.3, which='both')\n", " for e in range(1, num_epochs):\n", " ax.axvline(e*n_batches_per_epoch, color='gray', ls='--', alpha=.25, lw=.8)\n", "\n", " ax = plt.subplot(2,3,5)\n", " if history['eval_map']:\n", " ax.plot(history['eval_epochs'], [m*100 for m in history['eval_map']],\n", " 'b-o', lw=2, ms=8, label='mAP')\n", " ax.set(xlabel='Epoch', ylabel='mAP (%)', title='Val mAP')\n", " ax.grid(True, alpha=.3); ax.legend()\n", "\n", " ax = plt.subplot(2,3,6)\n", " if history['eval_rank1']:\n", " ax.plot(history['eval_epochs'], [r*100 for r in history['eval_rank1']],\n", " 'g-s', lw=2, ms=8, label='Rank-1')\n", " ax.set(xlabel='Epoch', ylabel='Rank-1 (%)', title='Val Rank-1')\n", " ax.grid(True, alpha=.3); ax.legend()\n", "\n", " plt.tight_layout()\n", " if save_path:\n", " plt.savefig(save_path, dpi=150, bbox_inches='tight')\n", " print(f'Saved -> {save_path}')\n", " plt.show()\n", "\n", "\n", "def _radar_chart(results_dict, title, save_path=None):\n", " metrics = ['mAP', 'Rank-1', 'Rank-5', 'Rank-10']\n", " metric_keys= ['mAP', 'rank1', 'rank5', 'rank10']\n", " N = len(metrics)\n", " angles = [n/float(N)*2*np.pi for n in range(N)]\n", " angles += angles[:1] # close the polygon\n", "\n", " fig, ax = plt.subplots(figsize=(7,7), subplot_kw=dict(polar=True))\n", " ax.set_theta_offset(np.pi/2); ax.set_theta_direction(-1)\n", " ax.set_xticks(angles[:-1]); ax.set_xticklabels(metrics, fontsize=12, fontweight='bold')\n", " ax.set_ylim(0, 100); ax.set_yticks([20,40,60,80,100])\n", " ax.set_yticklabels(['20','40','60','80','100'], fontsize=7, color='grey')\n", " ax.yaxis.set_tick_params(labelleft=True)\n", "\n", " names = list(results_dict.keys())\n", " colors = PALETTE[:len(names)]\n", " for name, color in zip(names, colors):\n", " vals = [results_dict[name].get(mk, 0)*100 for mk in metric_keys]\n", " vals += vals[:1]\n", " ax.plot(angles, vals, '-o', lw=2, color=color, ms=6, label=name)\n", " ax.fill(angles, vals, alpha=0.08, color=color)\n", "\n", " ax.set_title(title, fontsize=13, fontweight='bold', pad=20)\n", " ax.legend(loc='upper right', bbox_to_anchor=(1.35,1.15), fontsize=9)\n", " plt.tight_layout()\n", " if save_path:\n", " plt.savefig(save_path, dpi=150, bbox_inches='tight')\n", " print(f'Saved -> {save_path}')\n", " plt.show()\n", "\n", "\n", "def plot_comparison(results_dict, title='Comparison', save_dir=None):\n", " names = list(results_dict.keys())\n", " map_v = np.array([results_dict[n]['mAP'] *100 for n in names])\n", " r1_v = np.array([results_dict[n]['rank1'] *100 for n in names])\n", " colors = PALETTE[:len(names)]\n", "\n", " # 1. Grouped bar chart\n", " fig, ax = plt.subplots(figsize=(max(10, len(names)*1.6), 6))\n", " x, w = np.arange(len(names)), 0.35\n", " b1 = ax.bar(x-w/2, map_v, w, label='mAP', color='#2E86AB', alpha=.85, edgecolor='k', lw=.5)\n", " b2 = ax.bar(x+w/2, r1_v, w, label='Rank-1', color='#F18F01', alpha=.85, edgecolor='k', lw=.5)\n", " for b in list(b1)+list(b2):\n", " ax.text(b.get_x()+b.get_width()/2, b.get_height()+.3,\n", " f'{b.get_height():.1f}', ha='center', va='bottom', fontsize=7.5)\n", " ax.set(xticks=x, xticklabels=names, ylabel='Score (%)', title=f'{title} - mAP & Rank-1')\n", " plt.xticks(rotation=30, ha='right'); ax.legend(); plt.tight_layout()\n", " if save_dir:\n", " plt.savefig(os.path.join(save_dir, f'{title.replace(\" \",\"_\")}_bar.png'),\n", " dpi=150, bbox_inches='tight')\n", " plt.show()\n", "\n", " # 2. mAP heatmap (strategy x loss)\n", " strategies = ['full', 'partial', 'freeze']\n", " loss_names = ['triplet', 'arcface', 'ntxent']\n", " hmap = np.full((len(strategies), len(loss_names)), np.nan)\n", " for i, s in enumerate(strategies):\n", " for j, l in enumerate(loss_names):\n", " k = f'{s}_{l}'\n", " if k in results_dict: hmap[i,j] = results_dict[k]['mAP']*100\n", " if not np.all(np.isnan(hmap)):\n", " fig, ax = plt.subplots(figsize=(7,4))\n", " im = ax.imshow(hmap, cmap='YlOrRd', aspect='auto')\n", " ax.set_xticks(range(len(loss_names))); ax.set_xticklabels(loss_names, fontweight='bold')\n", " ax.set_yticks(range(len(strategies))); ax.set_yticklabels(strategies, fontweight='bold')\n", " for i in range(len(strategies)):\n", " for j in range(len(loss_names)):\n", " if not np.isnan(hmap[i,j]):\n", " ax.text(j, i, f'{hmap[i,j]:.1f}%', ha='center', va='center',\n", " fontsize=11, fontweight='bold',\n", " color='black' if hmap[i,j]>60 else 'black')\n", " plt.colorbar(im, ax=ax, label='mAP (%)')\n", " ax.set_title('mAP: Strategy × Loss', fontweight='bold')\n", " plt.tight_layout()\n", " if save_dir:\n", " plt.savefig(os.path.join(save_dir, f'{title.replace(\" \",\"_\")}_heatmap.png'),\n", " dpi=150, bbox_inches='tight')\n", " plt.show()\n", "\n", " # 3. Radar chart (4 metrics)\n", " radar_save = os.path.join(save_dir, f'{title.replace(\" \",\"_\")}_radar.png') if save_dir else None\n", " _radar_chart(results_dict, title=f'{title} - Radar', save_path=radar_save)\n", "\n", "def plot_best_small_vs_base(results_dict, save_dir=None):\n", " \"\"\"\n", " Compare best ViT-Small (full_*, partial_*, freeze_*) vs best ViT-Base (vit_base_*) by mAP.\n", " \"\"\"\n", " import matplotlib.patheffects as pe\n", "\n", " base_keys = {k: v for k, v in results_dict.items() if k.startswith('vit_base_')}\n", " small_keys = {k: v for k, v in results_dict.items()\n", " if any(k.startswith(s) for s in ('full_', 'partial_', 'freeze_'))\n", " and not k.startswith('vit_base_')}\n", "\n", " if not small_keys or not base_keys:\n", " print('[plot_best_small_vs_base] Not enough models to compare.'); return\n", "\n", " best_small_k = max(small_keys, key=lambda k: small_keys[k]['mAP'])\n", " best_base_k = max(base_keys, key=lambda k: base_keys[k]['mAP'])\n", " best_small = results_dict[best_small_k]\n", " best_base = results_dict[best_base_k]\n", "\n", " metrics = {\n", " 'mAP (%)': ('mAP', 100),\n", " 'Rank-1 (%)': ('rank1', 100),\n", " 'Rank-5 (%)': ('rank5', 100),\n", " 'Rank-10 (%)': ('rank10', 100),\n", " 'Latency (ms)': ('inference_ms', 1),\n", " 'GFLOPs': ('flops_giga', 1),\n", " 'Params (M)': ('total_params', 1e-6),\n", " }\n", "\n", " labels = list(metrics.keys())\n", " vals_s = [best_small.get(v, 0) * m for v, m in metrics.values()]\n", " vals_b = [best_base.get(v, 0) * m for v, m in metrics.values()]\n", " x, w = np.arange(len(labels)), 0.35\n", "\n", " fig = plt.figure(figsize=(16, 10))\n", " fig.suptitle('Best Small vs. Best Base Architecture', fontweight='bold')\n", "\n", " #Grouped bar chart#\n", " ax = plt.subplot(2, 1, 1)\n", " b_s = ax.bar(x - w/2, vals_s, w, label=f'ViT-Small ({best_small_k})',\n", " color='#2E86AB', alpha=.85, edgecolor='k', lw=.5)\n", " b_b = ax.bar(x + w/2, vals_b, w, label=f'ViT-Base ({best_base_k})',\n", " color='#F18F01', alpha=.85, edgecolor='k', lw=.5)\n", "\n", " for b in list(b_s) + list(b_b):\n", " ax.text(b.get_x() + b.get_width() / 2, b.get_height() + .3,\n", " f'{b.get_height():.1f}', ha='center', va='bottom', fontsize=7.5,\n", " path_effects=[pe.withStroke(linewidth=1.8, foreground='white')])\n", "\n", " ax.set(xticks=x, xticklabels=labels, ylabel='Score / Value',\n", " title='Metric Comparison - mAP, Rank-k, Efficiency')\n", " plt.xticks(rotation=20, ha='right')\n", " ax.grid(True, alpha=.3)\n", " ax.legend()\n", "\n", " #Delta table\n", " ax2 = plt.subplot(2, 1, 2)\n", " ax2.axis('off')\n", "\n", " higher_better = {'mAP (%)', 'Rank-1 (%)', 'Rank-5 (%)', 'Rank-10 (%)'}\n", " col_labels = ['Metric', f'Small ({best_small_k})', f'Base ({best_base_k})', 'Delta', 'Best']\n", " table_data = []\n", " for lbl, vs, vb in zip(labels, vals_s, vals_b):\n", " delta = vb - vs\n", " sign = f'+{delta:.2f}' if delta >= 0 else f'{delta:.2f}'\n", " if lbl in higher_better:\n", " winner = 'Base' if delta > 0 else ('Small' if delta < 0 else '=')\n", " else:\n", " # lower is better\n", " winner = 'Small' if delta > 0 else ('Base' if delta < 0 else '=')\n", " table_data.append([lbl, f'{vs:.2f}', f'{vb:.2f}', sign, winner])\n", "\n", " tbl = ax2.table(\n", " cellText=table_data,\n", " colLabels=col_labels,\n", " cellLoc='center',\n", " loc='center',\n", " bbox=[0.05, 0, 0.90, 1]\n", " )\n", " tbl.auto_set_font_size(False)\n", " tbl.set_fontsize(9)\n", "\n", " for j in range(len(col_labels)):\n", " tbl[0, j].set_facecolor('#2E86AB')\n", " tbl[0, j].set_text_props(color='white', fontweight='bold')\n", "\n", " for i, row in enumerate(table_data, start=1):\n", " winner_val = row[-1]\n", " bg = '#f0f4f8' if i % 2 == 0 else 'white'\n", " for j in range(len(col_labels)):\n", " cell = tbl[i, j]\n", " cell.set_facecolor(bg)\n", " cell.set_edgecolor('#cccccc')\n", " if winner_val == 'Base':\n", " tbl[i, 4].set_facecolor('#fde8d0')\n", " elif winner_val == 'Small':\n", " tbl[i, 4].set_facecolor('#d6e8f7')\n", "\n", " plt.tight_layout()\n", " if save_dir:\n", " out = os.path.join(save_dir, 'best_small_vs_base.png')\n", " plt.savefig(out, dpi=150, bbox_inches='tight')\n", " print(f'Saved -> {out}')\n", " plt.show()" ] }, { "cell_type": "markdown", "metadata": { "id": "EGB4DbuWRYzE" }, "source": [ "## 5. Ablation Phases" ] }, { "cell_type": "markdown", "metadata": { "id": "nOOFY7ZgLeEn" }, "source": [ "### Phase 0 - Pretrained Models Evaluation\n", "\n", "Before any fine-tuning, all four **ViT-Small** checkpoints are evaluated in a zero-shot\n", "regime on PRW. No parameter update is performed: the models are loaded with their\n", "source-domain weights and evaluated directly on the target domain. This phase serves two\n", "purposes. First, it establishes a lower-bound baseline that quantifies how much\n", "discriminative information each source domain transfers to PRW without adaptation. Second,\n", "it identifies the best-performing ViT-Small initialisation, which is used as the starting\n", "point for all subsequent ablation phases (Phases 1 and 2) and, indirectly, as the reference\n", "domain for selecting the ViT-Base checkpoint in Phase 3: because both architectures share\n", "the same pre-training datasets, the source domain that maximises zero-shot mAP on ViT-Small\n", "is a reliable proxy for the best initialisation on ViT-Base as well.\n", "\n", "The four source domains under evaluation are:\n", "\n", "| Key | Dataset | Notes |\n", "|--------------|--------------------|----------------------------------------------|\n", "| `duke` | DukeMTMC-ReID | Multi-camera outdoor campus, 8 cameras |\n", "| `market1501` | Market-1501 | Multi-camera outdoor campus, 6 cameras |\n", "| `msmt` | MSMT17 | Large-scale multi-environment, 15 cameras |\n", "| `occduke` | Occluded-DukeMTMC | Extension of Duke with heavy occlusion |\n", "\n", "Each model is instantiated via `create_personvit_model` with `cfg.vit_small_transformer_type`\n", "and `cfg.vit_small_embedding_dim`, evaluated with `run_evaluation`, and profiled with\n", "`profile_model`. Results are persisted to disk immediately after each model to avoid data\n", "loss in case of session interruption. The model is explicitly deleted and\n", "`torch.cuda.empty_cache()` is called after each evaluation to free VRAM before loading the\n", "next checkpoint. At the end of the loop, the checkpoint with the highest mAP is selected as\n", "`best_pretrain_key` and used as the initialisation for all ViT-Small fine-tuning runs in\n", "Phases 1 and 2.\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2026-03-05T00:59:16.427528Z", "iopub.status.busy": "2026-03-05T00:59:16.427171Z", "iopub.status.idle": "2026-03-05T01:13:37.766412Z", "shell.execute_reply": "2026-03-05T01:13:37.765448Z", "shell.execute_reply.started": "2026-03-05T00:59:16.427498Z" }, "id": "pretrained_eval_cell", "outputId": "3c6de032-4878-4b6b-8e01-ff27a144e842", "trusted": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "======================================================================\n", "EVALUATING 4 PRETRAINED MODELS\n", "======================================================================\n", "\n", "-- Duke (duke)\n", "using Transformer_type: vit_small_patch16_224_TransReID as a backbone\n", "using stride: [16, 16], and patch number is num_y16 * num_x8\n", "Loading pretrained model from /kaggle/input/models/simonerimondi/personvit/pytorch/default/3/PersonViT_small_pretrain_duke.pth\n", "===========building transformer===========\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:06<00:00, 2.50it/s]\n", "Extracting: 100%|██████████| 195/195 [03:24<00:00, 1.05s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 51.58%\n", " Rank-1 : 89.16%\n", " Rank-5 : 94.46%\n", " Rank-10: 95.62%\n", " Valid Q: 2057\n", "============================================================\n", " Params : 21.590M (21,590,400)\n", " GFLOPs : 5.56\n", " Latency: 7.92 ms/img 126.3 img/s\n", "[checkpoint] RESULTS saved to evaluation_results/all_results.json (1 runs)\n", "\n", "-- Market-1501 (market1501)\n", "using Transformer_type: vit_small_patch16_224_TransReID as a backbone\n", "using stride: [16, 16], and patch number is num_y16 * num_x8\n", "Loading pretrained model from /kaggle/input/models/simonerimondi/personvit/pytorch/default/3/PersonViT_small_pretrained_market.pth\n", "===========building transformer===========\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:05<00:00, 2.90it/s]\n", "Extracting: 100%|██████████| 195/195 [02:42<00:00, 1.20it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 75.26%\n", " Rank-1 : 92.90%\n", " Rank-5 : 96.94%\n", " Rank-10: 97.57%\n", " Valid Q: 2057\n", "============================================================\n", " Params : 21.590M (21,590,400)\n", " GFLOPs : 5.56\n", " Latency: 7.62 ms/img 131.3 img/s\n", "[checkpoint] RESULTS saved to evaluation_results/all_results.json (2 runs)\n", "\n", "-- MSMT17 (msmt)\n", "using Transformer_type: vit_small_patch16_224_TransReID as a backbone\n", "using stride: [16, 16], and patch number is num_y16 * num_x8\n", "Loading pretrained model from /kaggle/input/models/simonerimondi/personvit/pytorch/default/3/PersonViT_small_pretrained_msmt.pth\n", "===========building transformer===========\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:06<00:00, 2.79it/s]\n", "Extracting: 100%|██████████| 195/195 [02:41<00:00, 1.21it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 55.51%\n", " Rank-1 : 89.89%\n", " Rank-5 : 95.43%\n", " Rank-10: 96.55%\n", " Valid Q: 2057\n", "============================================================\n", " Params : 21.590M (21,590,400)\n", " GFLOPs : 5.56\n", " Latency: 7.84 ms/img 127.5 img/s\n", "[checkpoint] RESULTS saved to evaluation_results/all_results.json (3 runs)\n", "\n", "-- Occluded-Duke (occ_duke)\n", "using Transformer_type: vit_small_patch16_224_TransReID as a backbone\n", "using stride: [16, 16], and patch number is num_y16 * num_x8\n", "Loading pretrained model from /kaggle/input/models/simonerimondi/personvit/pytorch/default/3/PersonViT_small_pretrained_occ_duke.pth\n", "===========building transformer===========\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:06<00:00, 2.79it/s]\n", "Extracting: 100%|██████████| 195/195 [03:13<00:00, 1.01it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 53.29%\n", " Rank-1 : 88.96%\n", " Rank-5 : 94.56%\n", " Rank-10: 95.77%\n", " Valid Q: 2057\n", "============================================================\n", " Params : 21.590M (21,590,400)\n", " GFLOPs : 5.56\n", " Latency: 7.78 ms/img 128.5 img/s\n", "[checkpoint] RESULTS saved to evaluation_results/all_results.json (4 runs)\n", "\n", "Best pretrained: market1501 (mAP 75.26%)\n", "This checkpoint will be used for fine-tuning.\n" ] } ], "source": [ "print('\\n' + '='*70 + f'\\nEVALUATING {len(cfg.pretrained_models_small)} PRETRAINED MODELS\\n' + '='*70)\n", "\n", "for model_key, model_info in cfg.pretrained_models_small.items():\n", " print(f'\\n-- {model_info[\"display_name\"]} ({model_key})')\n", " if not os.path.exists(model_info['path']):\n", " print(f' WARNING: weights not found, skipping.'); continue\n", " try:\n", " model = create_personvit_model(model_info['path'], cfg.vit_small_transformer_type,\n", " cfg.vit_small_embedding_dim, train_reid.num_classes, reid_cfg)\n", " res = run_evaluation(model, query_loader, test_loader)\n", " hw = profile_model(model)\n", " RESULTS[model_key] = {**res, **hw, 'display_name': model_info['display_name'],\n", " 'strategy': 'Pretrained', 'loss': '--'}\n", " save_results() # persist immediately\n", " del model; torch.cuda.empty_cache()\n", " except Exception:\n", " import traceback; traceback.print_exc()\n", "\n", "best_pre = max((k for k in cfg.pretrained_models_small if k in RESULTS), key=lambda k: RESULTS[k]['mAP'])\n", "print(f'\\nBest pretrained: {best_pre} (mAP {RESULTS[best_pre][\"mAP\"]*100:.2f}%)')\n", "print('This checkpoint will be used for fine-tuning.')" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2026-03-05T01:28:04.789762Z", "iopub.status.busy": "2026-03-05T01:28:04.789407Z", "iopub.status.idle": "2026-03-05T01:28:05.703521Z", "shell.execute_reply": "2026-03-05T01:28:05.702757Z", "shell.execute_reply.started": "2026-03-05T01:28:04.789732Z" }, "id": "pretrained_plot_cell", "outputId": "27fc4154-9dac-4cf5-9c35-35009e34e280", "trusted": true }, "outputs": [ { "data": { "image/png": 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", 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "pretrained_results = {k: RESULTS[k] for k in cfg.pretrained_models_small if k in RESULTS}\n", "plot_comparison(pretrained_results, title='Pretrained Models', save_dir=str(cfg.plots_dir))" ] }, { "cell_type": "markdown", "metadata": { "id": "phase1_title" }, "source": [ "### Phase 1 - Fine-Tuning Strategy Comparison\n", "\n", "Phase 1 investigates how the choice of fine-tuning strategy affects Re-ID performance\n", "when adapting the best pretrained **ViT-Small** checkpoint to PRW. Running the strategy\n", "ablation on the smaller architecture (22 M parameters) rather than ViT-Base (86 M) keeps\n", "each training run approximately 4x faster, making it practical to compare all three\n", "strategies within a single Kaggle session. The metric learning loss is fixed to ArcFace\n", "throughout this phase so that any difference in results can be attributed exclusively to\n", "the strategy and not to the loss function. Three strategies are compared:\n", "\n", "| Strategy | Backbone | Head | LR | Notes |\n", "|----------------|------------|-----------------|------|-----------------------------------------------------------------------|\n", "| Full FT | Trainable | Trainable | 1e-5 | All parameters updated; low LR to avoid catastrophic forgetting |\n", "| Partial FT | Frozen | Trainable | 3e-4 | Backbone weights preserved; only BNNeck and projection layer updated |\n", "| FreezeRetrain | Frozen | Re-initialised | 3e-4 | Head weights reset before training; tests how much discriminative power the frozen backbone alone provides |\n", "\n", "`STRATEGY_CFG` is a configuration dictionary that maps each strategy key to its complete\n", "set of hyperparameters and the corresponding freeze function. This design allows\n", "`run_finetuning` to apply any strategy by simply looking up its entry, without any\n", "conditional branching in the training code itself.\n", "\n", "The three runs are executed sequentially via `run_finetuning` on ViT-Small. At the end\n", "of the phase, the strategy with the highest mAP is selected as `best_strategy` and\n", "carried forward to Phase 2, where it is held fixed while the loss function is varied.\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2026-03-05T10:49:52.642181Z", "iopub.status.busy": "2026-03-05T10:49:52.641663Z", "iopub.status.idle": "2026-03-05T10:49:52.646981Z", "shell.execute_reply": "2026-03-05T10:49:52.646235Z", "shell.execute_reply.started": "2026-03-05T10:49:52.642154Z" }, "id": "finetuning_helper_cell", "trusted": true }, "outputs": [], "source": [ "STRATEGY_CFG = {\n", " 'full': {\n", " 'freeze_fn': unfreeze_all,\n", " 'reset_head': False,\n", " 'lr': cfg.full_lr, 'wd': cfg.full_wd,\n", " 'epochs': cfg.full_epochs,\n", " 'warmup_ep': cfg.full_warmup_ep,\n", " 'warmup_factor':cfg.full_warmup_factor,\n", " 'label': 'Full FT',\n", " },\n", " 'partial': {\n", " 'freeze_fn': freeze_backbone_unfreeze_head,\n", " 'reset_head': False,\n", " 'lr': cfg.partial_lr, 'wd': cfg.partial_wd,\n", " 'epochs': cfg.partial_epochs,\n", " 'warmup_ep': cfg.partial_warmup_ep,\n", " 'warmup_factor':cfg.partial_warmup_factor,\n", " 'label': 'Partial FT',\n", " },\n", " 'freeze': {\n", " 'freeze_fn': freeze_all_backbone,\n", " 'reset_head': True,\n", " 'lr': cfg.freeze_lr, 'wd': cfg.freeze_wd,\n", " 'epochs': cfg.freeze_epochs,\n", " 'warmup_ep': cfg.freeze_warmup_ep,\n", " 'warmup_factor':cfg.freeze_warmup_factor,\n", " 'label': 'Freeze+Retrain',\n", " },\n", "}" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2026-03-05T01:28:19.458395Z", "iopub.status.busy": "2026-03-05T01:28:19.457682Z", "iopub.status.idle": "2026-03-05T10:38:22.68795Z", "shell.execute_reply": "2026-03-05T10:38:22.687125Z", "shell.execute_reply.started": "2026-03-05T01:28:19.458363Z" }, "id": "phase1_runs_cell", "outputId": "661d48dc-c389-46e5-e94d-53e1c8666ee7", "trusted": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "vit_small_patch16_224_TransReID 384 /kaggle/input/models/simonerimondi/personvit/pytorch/default/3/PersonViT_small_pretrained_market.pth full_arcface\n", "\n", "######################################################################\n", "# RUN: full_arcface | Full FT x ARCFACE\n", "######################################################################\n", "using Transformer_type: vit_small_patch16_224_TransReID as a backbone\n", "using stride: [16, 16], and patch number is num_y16 * num_x8\n", "Loading pretrained model from /kaggle/input/models/simonerimondi/personvit/pytorch/default/3/PersonViT_small_pretrained_market.pth\n", "===========building transformer===========\n", "[full_arcface] trainable 22,025,320 / 22,025,320 (100.0%)\n", "AdamW LR=1e-05 WD=0.0001 warmup=3 ep total=20 ep\n", "\n", "============================================================\n", "FINE-TUNING: best_full_arcface.pth\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 1/20: 100%|██████████| 140/140 [08:30<00:00, 3.64s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 1/20 loss=41.5626 lr=3.40e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 2/20: 100%|██████████| 140/140 [08:35<00:00, 3.68s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 2/20 loss=37.7176 lr=6.70e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 3/20: 100%|██████████| 140/140 [08:40<00:00, 3.72s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 3/20 loss=32.8548 lr=1.00e-05\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 4/20: 100%|██████████| 140/140 [08:34<00:00, 3.67s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 4/20 loss=28.1875 lr=9.91e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 5/20: 100%|██████████| 140/140 [08:32<00:00, 3.66s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 5/20 loss=24.5231 lr=9.66e-06\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:06<00:00, 2.56it/s]\n", "Extracting: 100%|██████████| 195/195 [02:39<00:00, 1.22it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 76.83%\n", " Rank-1 : 93.24%\n", " Rank-5 : 97.23%\n", " Rank-10: 97.86%\n", " Valid Q: 2057\n", "============================================================\n", " -> Best checkpoint saved (mAP 76.83%)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 6/20: 100%|██████████| 140/140 [08:13<00:00, 3.52s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 6/20 loss=21.5252 lr=9.25e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 7/20: 100%|██████████| 140/140 [08:01<00:00, 3.44s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 7/20 loss=18.9843 lr=8.70e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 8/20: 100%|██████████| 140/140 [08:01<00:00, 3.44s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 8/20 loss=16.8588 lr=8.01e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 9/20: 100%|██████████| 140/140 [08:15<00:00, 3.54s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 9/20 loss=15.2055 lr=7.23e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 10/20: 100%|██████████| 140/140 [08:05<00:00, 3.47s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 10/20 loss=13.8463 lr=6.37e-06\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:06<00:00, 2.61it/s]\n", "Extracting: 100%|██████████| 195/195 [02:34<00:00, 1.26it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 77.66%\n", " Rank-1 : 93.05%\n", " Rank-5 : 97.72%\n", " Rank-10: 98.10%\n", " Valid Q: 2057\n", "============================================================\n", " -> Best checkpoint saved (mAP 77.66%)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 11/20: 100%|██████████| 140/140 [08:02<00:00, 3.45s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 11/20 loss=12.6821 lr=5.46e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 12/20: 100%|██████████| 140/140 [07:58<00:00, 3.42s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 12/20 loss=11.7652 lr=4.54e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 13/20: 100%|██████████| 140/140 [07:57<00:00, 3.41s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 13/20 loss=11.1092 lr=3.63e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 14/20: 100%|██████████| 140/140 [07:57<00:00, 3.41s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 14/20 loss=10.4535 lr=2.77e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 15/20: 100%|██████████| 140/140 [07:59<00:00, 3.42s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 15/20 loss=10.0457 lr=1.99e-06\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:06<00:00, 2.59it/s]\n", "Extracting: 100%|██████████| 195/195 [02:35<00:00, 1.26it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 77.98%\n", " Rank-1 : 93.44%\n", " Rank-5 : 97.72%\n", " Rank-10: 98.01%\n", " Valid Q: 2057\n", "============================================================\n", " -> Best checkpoint saved (mAP 77.98%)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 16/20: 100%|██████████| 140/140 [08:01<00:00, 3.44s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 16/20 loss=9.6765 lr=1.30e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 17/20: 100%|██████████| 140/140 [07:58<00:00, 3.42s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 17/20 loss=9.2558 lr=7.49e-07\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 18/20: 100%|██████████| 140/140 [08:04<00:00, 3.46s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 18/20 loss=9.0835 lr=3.38e-07\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 19/20: 100%|██████████| 140/140 [08:23<00:00, 3.60s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 19/20 loss=8.8422 lr=8.51e-08\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 20/20: 100%|██████████| 140/140 [08:21<00:00, 3.58s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 20/20 loss=8.5965 lr=0.00e+00\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:06<00:00, 2.57it/s]\n", "Extracting: 100%|██████████| 195/195 [02:38<00:00, 1.23it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 78.10%\n", " Rank-1 : 93.39%\n", " Rank-5 : 97.72%\n", " Rank-10: 98.06%\n", " Valid Q: 2057\n", "============================================================\n", " -> Best checkpoint saved (mAP 78.10%)\n", "\n", "Done. Best mAP: 78.10%\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:06<00:00, 2.76it/s]\n", "Extracting: 100%|██████████| 195/195 [02:37<00:00, 1.24it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 78.10%\n", " Rank-1 : 93.39%\n", " Rank-5 : 97.72%\n", " Rank-10: 98.06%\n", " Valid Q: 2057\n", "============================================================\n", " Params : 21.590M (21,590,400)\n", " GFLOPs : 5.56\n", " Latency: 7.34 ms/img 136.2 img/s\n", "[checkpoint] RESULTS saved to evaluation_results/all_results.json (5 runs)\n", "Saved -> /kaggle/working/personvit_finetuning/curves_full_arcface.png\n" ] }, { "data": { "image/png": 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aNWpE3bp12bJlCy+//DJTp04lMjKSw4cPExgYSK9evW6z5dJe3bp1Wb16NWfPnnX3PktISKBVq1YsXbqUr7/+mlOnTjF+/HiPxlmyZEkeeugh1q1bx8qVK2nSpAkWi4WgoKBUH+Ppp5/m4MGDzJ49m8mTJ/P1119TokQJTp065e5lW7ZsWcaOHQu4fj5btWrF/Pnz+fXXX2nVqhU2mw2LxUK+fPluuUDfokULFi9ezD///ANA/fr1kwz7midPHl544QU++eQT5s6dy5YtWwgKCuKvv/7CNE1GjhwJQKVKlTh27Bi7d++mUaNGFC9enOjoaPfckB07dryluERERERExDPU409EREREJJtp1aoVr732Gvny5ePixYskJiYydepUihQp4unQ0tXlwl+dOnXInz//ddvz589P7dq1k+x7M2PHjmXgwIHcc8897Nu3j7i4OJo2bcrixYspXbr0Dd/75ptv0rRpU0JCQjh27BhNmjThww8/ZMCAAeTOnZvIyEh377DUnMdisfD555/Tq1cvChUqxN9//01ERASNGjVizpw53Hfffaluq/TWoUMHnn/+efLly8epU6coWrQoX375Jb1796ZkyZI4HA6io6M9HSYAY8aM4bHHHiMoKIhz585RpkwZPvvsM/f2m80raBgGb7zxBjNnzqRp06bYbDZ27NjBuXPnKF++PK+88gpff/01uXPndr9n6NChPPHEEwQFBXHixAmKFCnC5MmTr5tnMjXq1q1LaGioe/nqYT4v69OnD++++y7lypXjxIkT7N+/n8qVKzNu3DiefPJJwDXk7Lx582jZsiWGYfD7779z4sQJKlasyFtvvcWAAQNuOTYREREREcl4hqnxOkREREREJJObMGECEydOpGbNmhk+X514nzNnzriHuBw6dCjPPPOMhyMSERERERFJHfX4ExEREREREa+UmJhI9+7dadSoEW+++aZ7/dXzJVarVs0ToYmIiIiIiNwWzfEnIiIiIiIiXsnHx4cyZcqwefNmvv76a3799VdsNhu7d+8GoFmzZlSoUMHDUYqIiIiIiKSeCn8iIiIiIiLitV599VXuvvtu5s+fz+HDh0lISKB06dK0bt2abt26eTo8ERERERGRW6I5/kRERERERERERERERESyAc3xJyIiIiIiIiIiIiIiIpINqPAnIiIiIiIiIiIiIiIikg2o8CciIiIiIiIiIiIiIiKSDajwJyIiIiIiIiIiIiIiIpINqPAnIiIiIiIiIiIiIiIikg2o8CciIiIiIiIiIiIiIiKSDajwJyIiIiIiIiIiIiIiIpINqPAnIiIiIiIiIiIiIiIikg2o8CciIiIiIiIiIiIiIiKSDajwJyLpbvDgwdSrV8/TYdxQZGQk5cuX59dff012++DBgylTpswNv+Lj4zM4aujSpQtdunTJ8POKiIhIxsuO11T33Xcf9erV4/nnnycsLCxDYvz2228pU6YMR48ezZDziYiISOaVmuury9cO135VqlSJJ554goULF6bqXKZpUqdOHZYsWZLs9gkTJtz03tP+/ftvOcc7NXjwYBo1apTh5xWR2+fj6QBERDKDLVu24O/vT5UqVVLcJ3fu3CxdujTF7X5+fukQmYiIiEjWcavXVE6nkxMnTjBp0iS6d+/O/PnzqVChwi2ds2HDhrz//vvUqlXrTkIXERERuaE5c+ZQrFgx9/LZs2dZvHgxQ4YMITo6mmeeeeaG79+1axfnz5+nfv36N9xvzZo12Gy2ZLflzp371gMXEa+jwp+ICLBp0yZq166Nj0/KfxYtFgv58uXLwKhEREREspbbuabKnz8/7733HvXq1WPdunW3VPg7efIkx48fv6OYRURERFIjV65cSa5h8uXLx+DBg/nnn3+YNm3aTQt/mzZtomzZsuTJk+eG++XNm1cPl4vIHdFQnyKSaaxdu5annnqKSpUqUaVKFTp27MjmzZvd203T5PPPP6dp06ZUqlSJ2rVr07dvX44cOeLeZ/Xq1TzxxBNUq1aNatWq0aFDB7Zs2XLTc2/atOmmT1ylVpcuXejevTvff/89TZs2pUKFCjz66KOsX78+yX6///47Xbt2pWrVqlSqVIk2bdrw3XffJdknMjKSESNGUK9ePapWrUr79u2TtMnV8T/22GNUqFCBRo0a8eOPP6ZJLiIiIpL1ZOVrqpw5c7pfJyYmMn78eBo3bkz58uWpV68e/fr1cw/RuXXrVh588EEAnnnmmSRDUC1atIiWLVtSqVIlHn74YcaPH09iYmKSc50/f56+fftStWpVqlevzttvv43dbr/t2EVERMQ7lSlThpMnT+J0Om+438aNG9Ps3tPgwYNp2rQpYWFhtGrViooVK9K4cWMWLVqUZL/9+/fTq1cvatSoQYUKFWjRogWzZs1Kso/dbmfs2LE89NBDVK5cmdatW7N8+fLrzrlr1y7atWtHxYoVqV+/PvPmzUuTXEQk7anwJyKZwpYtW3jhhRcoW7YsCxYs4OuvvyZ//vz06NGDXbt2AbBgwQImT57MoEGDWLlyJVOmTOHixYv07NkTgAMHDjBgwACaNm3KkiVL3ENF9ejRgxMnTqR47v3793P8+PE0u/gC+Pvvv1m8eDFjx45lwYIFFChQgL59+3Ls2DEA9u3bR9euXQkMDGT27NksWrSI6tWr89JLLyUp2g0YMIDNmzfz4YcfsnjxYipWrEjPnj3566+/3PscO3aMOXPmMHr0aBYsWMBdd93FoEGDiIyMTLN8REREJGvIitdUZ86c4b333iN//vy0aNHCvf7zzz9n6tSpDBo0iB9//JHPPvuMY8eO0a9fPwCqVq3KRx99BLjmxFmwYAEAy5YtY+jQoTzxxBMsW7aMwYMHM3PmTD7++OMk533//fd57LHHWLx4Md27d2fOnDkpzrkjIiIikpLw8HAKFiyIxZLyrfaoqCj++OOPNL33dPr0aT799FNGjBjBokWLqFGjBq+//jp//PEH4BqKtHPnzkRERDBlyhSWL19O69atGTVqFF999ZX7OO+88w7ffPMNw4YNY9myZbRo0YJXXnmFdevWufeJjo5m7NixvP766yxevJgqVaowYsQIDh48mGb5iEja0VCfIpIpTJs2jZIlS/LWW29hGAYAH3zwAQ888ABz585l1KhR7Nq1i4IFC/Lwww8DUKhQIcaNG8fx48dxOp3s3r2bxMRE2rZtS968eQF4/fXXefTRR8mRI0eK5964cSPFihWjSJEiN4zx7NmzVK1aNdltzzzzDAMHDkyy7zvvvEP+/PkBGDFiBA8//DA//PADzz77LF999RX+/v6MGzfOPXzDsGHD2Lp1K7Nnz+bhhx9m586dbNq0iUmTJlGnTh13PhcvXuT48eOUK1cOcN0sW7BggXuc98ux/PPPP1SrVu3GDS8iIiLZSla7pnI4HMTHx1O4cGHGjh2bZN6aTp060aJFC0qUKAFAwYIFadeuHSNGjODcuXPkzp3bHU9oaKj7vVOmTOGhhx6iW7duABQrVoxXX331uhtTLVq0oFmzZgC88MILfPHFF2zfvp0nn3zypu0sIiIiEh0dzaJFi1i3bh2vvfbaDff9+eefsdlsqbpPU7t27WTXP/zww4wZMybJ+V955RUqV64MwPDhw1mxYgXLly+nSpUqLFiwgAsXLvDJJ59w1113AdCzZ09+//13Zs2axTPPPMOZM2dYuHAhr776qvvasGfPnpw+fZrTp0+7zxUREcFrr73GvffeC0CPHj1YvXo1O3bsoHjx4jfNSUQylgp/IpIp7Nixg2bNmrlvUAHYbDYqVKjg7t3WsGFDvvnmG7p160br1q2pXbs2BQsWdN/kqVatGrlz5+bpp5+mffv21KlTh7Jly6ZYrLsstUMt5MyZk6+//jrZbdfeBCtatKi76AdQpEgRQkJC3D3+duzYQcWKFa8bs71q1aqsXLkSgO3btwNQqVIl93ar1coHH3yQ5D3FihVLcpPs8uvo6Oib5iQiIiLZS1a8pjp//jybNm2ie/fuvPbaa3Tq1AkAPz8/li5dyk8//cTJkydJSEhwD9d5/vz5JNc/l8XFxfH333/z2GOPJVnfsWPH6/atUqWK+7XFYiFnzpy6fhIREZEUPfHEE0musWJiYihQoACDBg3i2WefveF7N2zYQM2aNbHZbDc9z/z58/H19b1ufWBgYJJlm81GxYoVk2y/55573MOi79ixg6JFi7qLfpdVrVqVtWvXEhUVxa5du3A4HO7i4WXDhg1LshwUFOQu+oFrvkPQvSeRzEpDfYpIphAVFUVwcPB164OCgtwXEQ0aNOCrr74iR44cjBo1ioceeoinnnqK3377DYACBQowf/586tSpw8yZM2ndujWNGjVi/vz5KZ43Pj6eX3/9NVU3qaxWK8WKFUv26/IFz2UhISHXvT8wMJCLFy+mOt/LQ3UGBQXdMK6AgIAky5cvQk3TvGlOIiIikr1kxWuqKlWq0LdvX7p168b777/PhQsXAHjllVeYNm0a7dq146uvvmLx4sXuYT5Tcvla62bXTwD+/v5Jlg3D0PWTiIiIpGjixIksXryYxYsXM2fOHEJCQmjQoAHPPffcTd97K/MgFylSJNl7T/ny5UuyX3Bw8HXDiwYGBrrvJ0VFRSV7f+rytWJ0dLTuPYlkUyr8iUimEBISQlRU1HXrr71IqVGjBp988gk///wzX331FX5+fjz//PPumzx33303w4cPZ/369Sxfvpz69eszbNgwwsLCkj3vL7/8gsPhoFatWmmaT3JPPEVHR7t7BqYm38tPsV/OTURERORmsvI1VcWKFYmPj+fQoUNERUWxdu1aunXrRteuXSlbtizFihXD6XTe8Bi5cuXCYrG4i4ciIiIiaaVgwYLuIly5cuUYMGAA33zzDb/++usN33fgwAGOHTtGvXr10jSemJiY6wpvV997ypEjh7uwd7XL64KDg8mTJw+ge08i2Y0KfyKSKVSuXJnffvstyQVLfHw8O3fudA9bsHHjRvbt2weAj48PtWrV4vXXXyc6OpojR46we/fuJDej7r33Xt5++22Cg4PZs2dPsufduHEjVatWTdVT4bfi0KFDnDx5MslyVFSUe46aypUrs2PHDuLj4937mKbJ//73P3e+ZcqUAWDbtm1Jjt2rVy9mzZqVpvGKiIhI9pCVr6nCw8MBuOuuu0hISMA0zSTDeTocDpYuXZrsey/n6+vryz333MMvv/ySZPvcuXPp0aPHbccmIiIicq1OnTpRrlw5hg0bht1uT3G/jRs3UrhwYfc9obQSFxfnniYGXIXAAwcOuM9TqVIljhw5kuT+FMBvv/1GyZIlCQoKolSpUlgsluvuPb3xxhuMHTs2TeMVkYyjwp+IZAin0+meGPjqr8tPFP3nP/8hPDycESNGsH//fnbv3s3AgQOJj4+nS5cuAHz77bf06dOHTZs2cfz4cf7++29mzJhBnjx5KFmyJH/88Qe9e/dm4cKFHDlyhCNHjjB9+nRiYmKoXr16snHdylALKeVw+SsuLs69b2hoKEOGDGHXrl3s2bOHt99+G39/f5o3bw5Aly5diI+P5+WXX2bv3r3s27eP4cOHEx4e7h4iolKlStSqVYsxY8awdetWDh8+zOjRo9m0aVOqJoMWERGR7Cc7XlMdPHiQr7/+mk8//ZTOnTtToEABcuXKRfHixfn222/Zu3cvu3fv5oUXXnCf/5dffiEqKorQ0FAANm/ezF9//YVpmvTo0YOwsDA+//xzjh07xpo1axg3blya32wTERGR7OFm11cpsVgsjBgxgkOHDjFp0qQU97uV6ySAM2fOpHjv6eoRpgIDA/nggw/47bff2LdvHyNGjCAxMZHWrVsD0LZtW3LmzMnAgQPZvn07Bw4c4JNPPmHDhg3uB6Ly5cvH448/zhdffMGPP/7I0aNHmTFjBvPnz6dSpUqpjllEMhcfTwcgIt7h3LlzyV7kNG7cmE8//ZSaNWvy2WefMXHiRNq0aYPVaqVy5cp89dVXlCxZEoB33nmHDz/8kKFDh3L27Fly5MhB5cqVmT59Ov7+/nTs2JHY2Fi++OIL3n77bXx9fSlVqhTjx49P9mLl33//Zd++fakeaiGlHC577733aNu2LeAaj71Nmza89NJLHDt2jGLFijFp0iT3XIAlSpRg5syZfPzxx7Rv3x6n08l9993H559/Tu3atd3HnDhxImPGjGHAgAHExsZy7733MnnyZMqXL5+qmEVERCR7yY7XVEFBQRQtWpRXXnmFjh07utePGTOGESNG8OSTT5I/f3569OhB69at+eeffxg5ciQ+Pj60bduWxo0bM2PGDBYuXMjGjRt5/PHHSUxMZPr06UyaNIm77rqLp59+mhdeeOFWm1tERES8wM2ur26kUqVKtG/fnmnTptG8eXPKli2bZLvdbmfbtm2MHj061fE0atQoxW19+/blxRdfBFyFvz59+vDWW28RHh5O/vz5ef/99yldujTgmkJm1qxZfPDBBzz77LPEx8dTokQJRo8ezeOPP+4+5ltvvUWuXLl46623uHDhAsWKFeOjjz6icePGqY5ZRDIXw9QMnCIiaepyb75vvvnG06GIiIiIiIiIiEg2M3jwYDZu3MjmzZs9HYqIZEIa6lNEREREREREREREREQkG1DhT0RERERERERERERERCQb0FCfIiIiIiIiIiIiIiIiItmAevyJiIiIiIiIiIiIiIiIZAMq/ImIiIiIiIiIiIiIiIhkAyr8iYiIiIiIiIiIiIiIiGQDKvyJiIiIiNu7775LmTJlANi6dStlypShYsWKSb5WrFjh4ShFRERERERERCQ5Pp4OILM5fTrS0yFkOF9fKwkJDk+H4RHemrvy9j7emrvy9j7pmXu+fCHpctzMZPfu3SxZsiTJusKFC7NmzZpUHyO9r6W8+ec7vahN05baM+2pTdOe2jRtqT1Tzxuup9KC7k15D2/NG7w3d+Xtfbw1d+WdPlJ7LaUef4JheDoCz/HW3JW39/HW3JW39/Hm3O+U0+lk+PDhdOvWzdOh3JC+x2lPbZq21J5pT22a9tSmaUvtKXLnvPX3yFvzBu/NXXl7H2/NXXl7lgp/IiIiIsK8efPw8/OjZcuWSdZHR0fTp08fatWqxQMPPMCMGTMwTdNDUYqIiIiIiIiIyI1oqE8RERERL3fmzBkmTJjArFmzkqwPDg6mdOnSdO3albFjx7Jt2zb69+9PSEgI7dq181C0IiIiIiIiIiKSEhX+RERERLzce++9R9u2bSlVqhRHjx51ry9fvnySYmD9+vXp0KED3377bYqFP19fa7oObeHjY02/g3sptWnaUnumPbVp2lObpi21p4iIiIhkJir8iYiIiHixsLAwfv/9d5YvX56q/QsXLsyqVatS3J4Rk3fb7d43QXh6U5umLbVn2lObpj21adpSe4qIiIhIZqHCn4iIiIgXW7p0KWfPnqVhw4YA7vn7atWqxeuvv05MTAydOnVy7x8eHk6RIkU8EquIiIiIiIiIiNyYCn8iIiIiXmzw4MH079/fvfzvv//Svn17lixZws6dOxk+fDhFixalVq1abNu2jYULFzJ69GgPRiwiIiIiIiIiIilR4U9ERETEi4WGhhIaGupeTkxMBKBAgQIUKFCAIUOG8M4773DixAny5s3LkCFDaNKkiafCFRERERERERGRG1DhT0RERETc7r77bvbu3etebt++Pe3bt/dgRCIiIiIiIiIikloWTwcgIiIiIiIiIiIiIiIiIndOhT8RERERERERERERERGRbEBDfYqIiIiIiIiIiKSjrVu3MmDAAEqVKgXAAw88QI8ePTwclYiIiGRHKvyJiIiIiIiIiIiks9q1azN27FhPhyEiIiLZnAp/IiIiIiIiIiJAu3YtOX36FFar1b0ud+48NGjQkOee60VgYKAHoxMRERERuTkV/jJIeLjB3Lm+HDlioUgRJ506JVCihOnpsERERERERETkKgMHDuLxx9sBYJomBw6EM3z468TGxvLqq0M9HJ1kpI0bN/Laa69Rq1atJD31jh07xltvvcWff/5JYGAgLVq04OWXX8ZisdzweH///Tc9evQgNjaWwYMHU758+fROIduxhu/Df+5sLEcO4SxSjLhOT+MoUSrLnUNERCQ9qfCXAf77Xx8GDvTHMMA0wTBg4kQb48bF0aFDoqfDExEREREREZFkGIZBiRIlefrpbkyYMJZXXx3Knj1/8cknHxMevg9fXxsNGzaiX79XOHnyXzp2bMv3368hODiY+Pg4mjVryJNPdqR3734ATJ36GQcOhPPuu2M8nJnczNSpU1mwYAHFihW7btuLL75I+fLl+fHHHzl79iw9e/Ykb968PPvss8yfP5/58+cn2f/tt9+mePHi9O3bl+bNm7N9+3aGDh3K4sWLMyib7MHvv7MJGdiXq2+wBUwcR+S4ScR36JxlziEiIpLeVPhLZ+HhBgMH+uN0GtdsMRkwwJ+aNaPV809EREREREQkE0tISHC/fvPN12natAUTJkzm9OnT9O7dnaJFi9OuXQfy5buLXbt2UKtWHXbt2knBgoXYseMP93v//PN3GjV6xAMZyK3y8/NjwYIFjBo1ivj4ePf6HTt2sGfPHmbMmEFISAghISF069aNL7/8kmeffZYnn3ySJ598MtljNm/eHIBKlSpx9uxZTNPEMK69XyTJsYbvI2RgXwynM8l6Ewjp9wJ+y5fizJMHfG2Yfjaw+bn+9bVh2vzA79K/NhumzYbp5+fax2Zzr7OcPpXyOQb0IaFmbZwlSqZZPv5zZ+Nz7DC+hYuqV6GIiKQpFf7S2dy5viR/DWdgGCZz5/oybJg9o8MSERERyRZOnzbIl08PUYmISPpwOp3s3/8Pc+Z8SZMmzQCYOXMuvr42rFYrBQoUoEqVauzZsxuAatVqsHPndmrVqsMff/yPRx5pxoIF87Db7RiGwV9/7eLVV4d4MiVJpWeeeSbZ9bt27aJw4cKEhoa615UvX54DBw4QFRVFcHBwsu/77rvvOHfuHF26dGHfvn3kzp1bRb9b4D93NsndYLu8xu+HFel2bgMwnU5ytnmUxMpVcebNi5k7D87ceXDmyYOZJw/OPHlx5na9NoOCk431smt7FfqqV6GIiKQxFf7S2ZEjFswU7kWZpmu7iIiIiNyef/9V4U9EJCs5ccLgwoWMKXaEhpoULHjr/0eMHTuGTz75GACHw0FAQADt2nWgW7f/APDrr78wc+ZUjhw5jMPhIDExkYYNGwOuwt+qVd8Drt59Xbs+x++//8bu3buwWCzkzJmTokWLp02C4hERERHkyJEjybrLRcDz58+nWPhr0KABL730EitXrsThcPD222+neA5fX+uN6kbZko+P9cbbjx0mxRtsGcAArCeOYz1x/Kb7mn5+rgJg7jyuImGePJi582LmzQtOJ34fvIdxTS6XexUa9eulWa/CzO5m3/PsSnl7H2/NXXl7lgp/6axIEWeKF2uG4douIiIiIrfnqpHXREQkCyhY8PaKcRlp4MBBPP54OwC2bfuZ119/maZNW+Dj48OhQwd5443X6Nt3IK1aPY6fnz+jRg3HbneN5FOtWg3Gjh1DfHw8e/fuoXz5ClSoUInt2//AMAyqV7/fk6lJGjFvowAVHBzMlClTUrVvQoLjlo+fHdjtKeftmycfvs7k76GZVitxnbsS+3wvDHs82O0YdjvEx19aTriyPj4eEuwY8XbXuvh4jIQEsMfju2UTPjt3XFeUA1dhLrW1WCM+HuP4cTh+nNTe/jVw/Vz5d+9GXPuOOIvfg6PYPTiKFAU/v1QeJeu50fc8O1Pe3sdbc1fenqPCXzrr1CmBiRNtXH+JYGKaru0iIiIicnvsdi97HF5ERDJUzZq1qV+/AaNHj2TChMn8/fcebDYbTz7ZAXDdqN+7dw/33FMCgPz5C5ArVy5WrFhGsWLF8fPzp2LFSixatAAwaNxY8/tldblz5yYiIiLJuoiICAzDIHfu3J4JKrtLTMTnj9+TLbyZAKZJTO8X77innDV8H7nq1nDNvXjtOSwWzq7/GUJDMc6exXL2DJZzZ5O+PncWy1nXl+v1GVdRMZUM08T3j//h+8f/rpzbMHAWKoyjWHEcxYpfKgi6XjuKl8DMnTvFYUUvzyNoOXIIZ5FimkdQRMSLqPCXzkqUMBk3Lo4BA/wxDBOnE0zTAAyqVk2kRInM/aSjiIiISGZhmnCpQwXnzkHu3K4ef04nRERArlw3nE5FRETktvTv/zKdOrVjyZJvKVXqXuLj4/nnn73kz1+Q2bNnYLPZOHPmjKtYYBhUq3Y/33zzX+rXfxCA8uUrMWrUCCwWK6++OtTD2cidqlChAidOnODcuXPuQt+OHTsoVaoUQUFBHo4uewoaOQLbtp+BS0U4q9V1YXhpjrzIcZPSZHhMR4lSRI6bRMiAPpiXjp3kHGXKunYsUJBU9eUwTYyoyCTFQf8Z07D99EOyvQqTY5gm1mNHsR47Cls2XbfdGRyC010IvFIU9Nm5naB333bHj+YRFBHxKir8ZYAOHRKpWTOauXN92b/fwk8/+RAXZ/Dbbz78/LOV2rU93/VTREREJLOLi4Pz5w0KFYJffrFSrJhJQgLs2GHh338NGjd24KOrWxERSWO5c+ehV68+fPbZJ8yePZ+2bZ+ib98e+PsH0LXrc7z00iBeeqk/w4cP4e2336NateosW7aISpWqAJAjRw5y5nQViPLmzevBTCQtlCtXjooVK/LRRx/x+uuvc/LkSWbMmEH37t09HVq25LfgawI//QQA08eHyAmf47P7L3cvtthOXdJ0Trz4Dp1JqFmbgLmz7vwchoEZkgMzJAfO4vcA4ChZCtua1Sn2KoycOBnDbsdy6ADWgwewHjqI9dBBLGfPJnsKS1Qkll078Nm146bhXJ5HMKFGTZyl7r31fEREJMswzNsZmDwbO306Mt3P8eWXvgwa5A9AxYoOfvghBqsH53y02ayZYtxZT/DW3JW39/HW3JW390nP3PPlC0mX42Y36XktFR8Pp0758NdfVy5fDcM1X9Tx4wYNGzqw2dLt9NmWN//NSA9qz7SnNk17atO0pfZMvax0PVWxYkUAEhMTAfC59HTRjh07+Pfff3njjTfYtm0bwcHBdOjQgb59+2Kk0dADGXFvKrNJ7vfI54//kbNVM4y4OAAi3/+IuO7PeyK8NOU3bw4hA/ok6Y13uVdhSr3xjMiLWA4edBcCXUXBA1gOHcR65DDGpZ/T1DB9fEisXIXECpVJrFjJ9XVfefD3T6sUU8Vb/3Yqb+/jrbkr7/SR2mspFf6ukREXVw4HPPJIIDt3uqp9H34YxzPPeG6uP2/9JQTvzV15ex9vzV15ex8V/jwvPa+lEhNh/XobiYnJf48bNHBk9P2KbMGb/2akB7Vn2lObpj21adpSe6aerqdSR4U/ME6dIleTBliPHwMgtks3oj4cn23GdbeE7ydg7ix8jh0msXDRO+u5mJiI5fgxd0EwYPIkrH/vTXZOxJSYViuOe0uTWKESiRUvFQQrVMTMmeuG77uTeQS99W+n8vY+3pq78k4fKvzdpoy6uPr5ZyutWgUCkCePk7CwaHLmzJBTX8dbfwnBe3NX3t7HW3NX3t5HhT/PS89rKdOENWuSFv6sVtdDVQBNIuaTc/6XxD39DPGPP5FucWQ33vw3Iz2oPdOe2jTtqU3Tltoz9XQ9lTpeX/iz28nZ9jF8L83rl3B/LSIWfUd2HNohPf5+BI0cQcCk8RiO649rGgZmjhxYLlxI1bEcRYtdKgZe+qpQCWfBQmAY+P13NiED+95Sz8WreevfTuXtfbw1d+WdPlJ7LaVZUDykdm0HbdoksGiRL2fPWhgzxo9Ro+I9HZaIiIhIpmUYYBgmJUqYhIe7nmG+uvCX8+OR2A7sw7ZhLVHHjxPb+0UPRisiIiJye3x9rdmlY1uq+fhcmQPH/9VX3UU/Z6FCxM6eiy04wFOhpaur804rjq5dYeI4TLh+HkHDIHrtRpx58mLdtRPr9j/dX5Y9u68bMtR6+BDWw4fw+36Ze50zb14cJUvhs20rxjX9SS7PI2jUr3fTHozpkXtWoLy9j7fmrrw9S4U/D3rzzXhWrvQhNtZg+nRfunRJoGxZp6fDEhEREcm0mjZ1kpDgJDzcdTFtt1/Zdqp5Z+7+9C0AgkcMhcQEYvu95IkwRURERG5bQoL39ZAAsNsd+M+cht/M6QCYfn5cmDmXxFz5IBv3GknzniFF7sEcN4mQAX0wk+uNd3dx1341aru+LouPx2fvbnx2bMdnx5/47NyBz84dGDHRSQ5vOXMGy5kzyZ7awFX8s06fTtybb980VG/sDQTK2xt5a+7K23NU+POgwoVN+ve38/77fjgcBkOH+rFgQazXPdUlIiIiklpXXydZLOC86pmpdbUHcf8FJ2XmvANA8MgROIrfg71VmwyOUkRERERulW/YZoKHDHIvR370CYlVqnkwoqwrvkNnEmrWJmDuLPf8ezedR9DPj8RKVUisVOXKOqcT64H9l4qBlwuC21Ms/AEYTicBn0/E+vceEuo9SEK9+iSWr+gaqkNERDKE5vi7RkaPox4bCw88EMThwxYAZsyI5dFHE2/yrrTlrePtgvfmrry9j7fmrry9j+b487z0vpa6/D1etcqKz6VH2AID4eLFK/u0WfcyQdM+B8AMDOLc2s047ymRrnFlZd78NyM9qD3Tnto07alN05baM/V0PZU63jjHn9/J4wQ3rO8uKMX06kv02+96OKr0lyX/fpgmwUMG4T/jCwxn6kYuc4bmJKFOXRLq1sde70Ec5Stg8/fNermngSz5PU8D3po3eG/uyjt9pPZaypJuEXjIu+++S5kyZdzLYWFhtGvXjmrVqvHoo4+ydOlSD0Z3vYAAeOutK3P7DR/uR2ysBwMSERERyQIKFjSxWKBCBSd16jho0ODKhfXJ197jaJXmABgx0eR4sVfSroEiIiIiknnExBDUub276Gdv0JDoVAwTKR5iGMQ+3wu4NG/gVcxLX85cuZKst1yIwG/l9wS/OYTcjeuTp2xxAju1J2DKp1h37tC1uohIGstWhb/du3ezZMkS9/KpU6fo3bs3HTp0ICwsjKFDh/LGG2+wY8cOD0Z5vRYtEnngAVcvv8OHLXz2mc3DEYmIiIhkboYBQUEmvr6u2w22qy6ftmy1san3DBKLFQfAd9vP+M+amfFBioiIiMiNmSYhL/XFuv1PABzFinNxygzcQztIpuQoUYrIcZPAYsG0WjEv/YvFQuQnn3F2z0HObdxG5HsfEt/ycZx58iR5vyUiAt/vlxM8bDC5G9Ujz333kKNbZwKmfob1r11JCoHW8H0EjRxBSM9nCRo5Amv4voxOV0Qky8k2Q306nU46dOhAw4YNGTduHHv37mXatGksX76cRYsWufcbOHAgISEhvP128k8OeWo4hT17LDRsGIjDYRAQYLJlSzSFC2fMt8Zbu92C9+auvL2Pt+auvL2Phvr0vIwa6nPnTgvlyzuTzPm3dauViIgry/n/Ws8j77UAwAwM5PzqDTjuLZ2u8WVF3vw3Iz2oPdOe2jTtqU3Tltoz9XQ9lTreNNRnwIRxBL/zJgDOoGAiVvyEo+x9Ho4q42T1vx+W8P2pm0fQ6cS6dw++WzZi27QR37BNWM6dS/G4zjx5SKhTH6efH/6LFrie+jNN97+R4yYR36FzOmaWfrL69/x2eWve4L25K+/04XVDfc6bNw8/Pz9atmzpXrdr1y7KlSuXZL9y5cqxc+fOjA7vpsqWddK9ewIAsbEGb7/t5+GIRERERDKvfPnMJEU/AKvVxNf3yvLJcg242L4bAEZMDCHPd4O4uAyLUUREJC317duDzz6bcEvvOXHiOK1bNyM8fP8dnXvmzC94+eV+ZJNnxyWT8F2zmqCRw93LkZOmeFXRLztwlihJ9LARRE6eQfSwEckX/QAsFhz3lSPuuZ5cnDGbs3+FE7npZ6JGjSa+RcvrhwY9exa/5UsIWPgNhtOJ4XC4/8XpJGRAHyx3+HdNRCQ7yxaFvzNnzjBhwgSGDx+eZH1ERAQ5cuRIsi5nzpycP38+I8NLtUGD4smTx9WVfdEiX8LCrB6OSERERCRzyp//+huP+fKZVK6cdH6QvS+MJr6Ea/5n3792EjRiWIbEJyIiWU9iYiLTpk2mY8e2PPxwfR555AFefLEnf/75u0fiOXbsKGvX/njb7zdNk7feGkb79p0oUaIk33+/jAceuJ9Gjeom+frrL9fD0U6nk8mTJ/Hkk61p1qwhL730IseOHQWgS5dnOX/+HPPnz0uT3ESs+/8hR4/uGJeKyXGDh2Jv8ZiHo5IMY7HgrFCR2Odf4OLMOZzdfYBzazYT9c57xDd7FGdozhTfagA4nQQPGYRx+nRGRSwikqVkiwGz33vvPdq2bUupUqU4evToHR3L19d63dPjGeWuu+CNNxIYMMDV22/oUH/Wr4/Dms71Px8f7y0wemvuytv7eGvuytv7eHPuAsWKXV8MPHY+mLM9v6TJ6/WwOB0ETp8CgYFEv5n8sO8iIuK9Jkz4mO3b/2DkyA8oXvwe4uPjmD9/HgMH9mX27G8oVKhwhsazfv1a9u79i4YNH76t92/evJHDhw/Rtu1T7nWVK1dl4sQpye7/7bff8OOPqxgzZjx33XUXkydPYsiQQcycORer1UrXrt358MP3ad26LX5+GqUoPXny3lSGuHiR4K6dsFy8AEDCoy1xDBmKzel9PUq9+fNL0tytUK0KjmpVcLzYjziHg8An2+Kz9id3cfhqBuC35kdsFUrhqF2XhMdakvBYK8xixTIs/tvlrd9zb80bvDd35e1ZWb7wFxYWxu+//87y5cuv25YrVy4irp7oBTh//jy5c+dO8XgJCZ4dd7Z9ewfTpvmwY4eVnTstTJtmoVu3hHQ/rzeOt3uZt+auvL2Pt+auvL2PN+cuLvXqOdi82XWxHRUFUYUqsqP1YCovGgVA4MRxJFS/H/ujLW90GBER8TK//LKVRx9tRcmSpQAIDAyia9fnKFiwEDabDXANt1mjRk3+/nsv27aFUbBgIT744CO+/vprVq5cTmBgEK++OpTatesCEB6+n3HjxvD333uwWq00bPgwL774krtwtmHDOqZNm8yxY0fImTMX7dt35sknOzB37iw+/9w1rOfGjXVZvXojAA6HgzFj3mX16lXYbDYGDhxE48ZNks1n8eIFNGnSDH9//1Tlv2TJtzz1VCeKF78HgJ49+9C8eSN27dpJhQoVeeCBh/jww/dZv34tTZo0u81WltTw9L2pdOV0kuP57lj/3gtAYtn7uDDhc3ydptdex3tr3nDj3H0rVMJn/VpwpLyPYZr4hG3GJ2wzAUMHk1ChEvZHWxLfoqVr2NhMWkH31u+5t+YN3pu78vacLD/U59KlSzl79iwNGzakVq1atG3bFoBatWpRunTp6+bz27lzJ5UrV/ZEqKlitcKoUfHu5ffft5FJRyYVERERyZSCg69ft6PtELa3GeJeDun3AtZ//s7AqEREJLMrWrQYK1Ys559/9iZZ36RJc/LmzedeXrp0EU8/3ZWlS1dhtfrQt+8LlC5dhmXLVlOrVl0+/XQ8AHa7nZde6ku5chVYsmQlU6Z8yR9//I9p0z4HYN++f3jjjdd47rmerFy5jtdff5PPP59AWNgmOnXqQtOmLWjYsDFr1mzBemkooB9/XMWDDzbku+9+pGXLx/nww/dJTEy8LpfExET+/PN3qlW7P8n6U6dOMmBAb5o1a8iTT7Zm1arvAYiPj+PgwQOULl3WvW9gYBBFihRlz55dAFgsFipXrsr//vfLnTa1eLHAD0bht2oFAM6cObnw5X8xg0M8HJVkRnGdngbT5Nr+fiZgGhZiu3Yn8d7SSbb57txO0OhR5G5Qm1y1qxL01hv4/LoNnE5ERLxJlu/xN3jwYPr37+9e/vfff2nfvj1Lliy5ND79ZObPn0+rVq34+eefWb9+PV9//bUHI7652rUdtG2bwLff+nLunIUPPvDjvffib/5GEREREUnR9jZDyHduLwXXL8QSeZEcz3TgwuLvceYv4OnQRES8gm3pIoJGj8KIisqQ85nBwUQPHoa95eOp2n/AgFcZMWIIzz7bmQIFClK5chVq165HgwaN3D3+ACpWrEy5chUAqFq1Olu2bKRFC1cv8jp16rFq1XcA/PzzFuLiYunevQc2m43Che+mbdunmDPnS3r37s933y2lRo1aPPjgQwBUr34/des+wE8/raZOnfrJxlixYmVq1aoDQMOGjZk1awYRERHkzZs3yX7//nuC2NhYd+9FgJw5c1GkSDF69uxN8eIl2LBhLe+88yZ58+ajWLHimKZJSEjSAkxISA4uXLjgXi5RoiQ//7wlVe0pci3bssUEfTwGANNi4eKUmTjvKeHhqCSzcpQoReS4SYQM6INpGGCarh58pknkuEnEd+gMgPWfv7F9vwy/75bi+8eVOVl9DoTjM2k8gZPG48hfAHvzR4l/tBUJdeuDr6+n0hIRyRBZvvAXGhpKaGioe/nyk24FCrhu4EyePJmRI0fy1ltvUbhwYcaMGUPZsmWTPVZm8uab8axc6UNMjMHMmb506ZJAuXJ6OkVERETkduXMZRA+5FPyndqDz+5d+OzfR85Hm3B+5RrMa26YiohI2gucNB6fDO5tHThpfKoLfwUKFODzz6dz4EA4v/66jT/++I3Ro0fyxRefM3HiFPLluwuA/Pnzu99js9nIly9fkmW73Q7AiRPHKFSocJKi4d13F+HkyX9xOp2cOHGM4sWLJ4nh7ruLsGPHnynGWLBgIfdrPz/XEJ4JCfbr9rtcrAsJyeFeV7duferWvVJQfPjhpmzYsI7vv1/KCy/0u7T2xnOshYbmJCJCwxLJrbPu2kmOF3u5l6OHjyThoUYejEiygvgOnUmoWZuAubOwHDmEs0gxYjt1wVmipHsfx72lie3/MrH9X8Zy7Ci2Fcvx+345vmGbMS4NE2o9+S8BM6cRMHMazpw5sT/SjPgWLbE3bAyBgVjD9+E/d7b7HHGdnsZRolRKYYmIZHpZvvB3rbvvvpu9e68My3H//fezZMkSD0Z0ewoVMhkwwM677/rhcBgMG+bHwoWxmXVoahEREZFMpWZNBzlzwg8/uIZGK1bM5NAhg5AiQVz46r/kbPMo1qNHsB4+SMiLPbk4Zz5Ysvwo+CIimVpM3wEEvT8yQ3v8xfTpf/Mdr3HPPSW4554SPPlkB86ePcPzz3dl/vz/0ru361iGkfT/C0sK/3/Y7QnJrjcufbBPafuNGLd4U+Bm+xcoUJC9e3cTEpIDi8WSpHcfwMWLF8iZM1eS45k3rg2KXMc4e5bQrh0xYmIAiHuyA7G9+ng4KskqnCVKEj1sROr2LXw3cf/pRdx/emGcPYvthxX4fb8M27o1GPGu0dQsERH4z5+H//x5mAEBJJYqjc/O7a7PApd6FQZMHJekV6GISFaT7Qp/2UmvXnbmzPHl0CELmzb5sHy5Dy1bXj92v4iIiIgklevKPUoqVnRemtbD4MgRgyOUpNasH7m7dX0CLp7G76fVBI77kJiXXvVUuCIiXsHe8vFU977LaKdOneSrr2bQu/eLBAYGudfnyZOXUqVKExsbd8vHLFz4bo4fP0ZCQgK+l4aVO3ToIAULFsJisVC48N0cOnQwyXsOHTpI4cJ331EugHtkpIsXL7iH71y8eAEhIaE0bvzIVec7QKFChfHz8+Oee0qyd+9uqlatDkBkZCRHjx6hfPkK7v0jIs6TM2fOO45PvEhCAjme74r18CHXYpWqRH44Hj3ZLunNzJOH+I5PE9/xaYiKwrb2R/y+W4Zt9SoskRcBMGJj8b3cy/pS70Bw9X0OGdCHhJq1k/QuFBHJKvRYcybm7w9vv31lbr8RI/yIjfVgQCIiIiJZjK+vaySFwoWTdk84lFiYzb2mueYLAYLeH4nvlk2eCFFERDKBXLly8+uvW3n77Tc4fPggTqeTuLg4Vq9eyW+/baN+/Qdv+Zi1a9fFx8eHGTOmYrfbOXz4IPPn/5fmzR8DoGnT5vzyy1Y2b95IYmIiW7eGsWXLRpo1exQAPz8/Tp48SWRkpHtak9QqUKAgAQEBhIfvc6+z2xMYO/YD9uz5i8TERFavXsnPP2+hdesnAGjT5gnmz5/HoUMHiYmJ5rPPPqF06TKULVvOfYwDB8KTzBsocjNBI4Zi27QBAGe+u7g4cy4EBHg4KvE6wcHYWz5O5OfTOLs7nIh5C4nt8ixmCj+LBoBpEjhhXEZGKSKSZlT4y+SaNUukQQPXBf6RIxYmTbLd5B0iIiIiclmjRq4nd699qPzsWYN/KzbmeM9h7nUh/XpjXEw6xJmIiHgHX19fJkyYTK5cuRk4sC+PPPIALVs2YdGiBYwYMYpaterc8jEDAwP54INx/PHH/2jZ8hFefrk/TZu2oEuXZwGoUKESgwe/weefT6B580Z8+ul4hg8f6e5x98gjzThy5BDt2j3GmTNnbuncPj4+VK5cld9++9W97sknO9CuXXveeGMwTZo8yMyZX/Duux9Stux9ALRu/QQtWrSkb98etGzZhNOnTzFq1Bj3+03T5M8/f6datftvuS3EO/n9dzaBUz8HwPT15cKMOTgLFfZwVOL1bDYSGj1C1EfjiW/a3P0g4LUM0yRgzpfkbPEw/nNnQQYNUy0ikhYM09To7Fc7fTrS0yFc5++/LTz0UCCJiQYBASabN0dz991p922z2azY7Y6b75gNeWvuytv7eGvuytv7pGfu+fKFpMtxs5v0vpa6k+/xqlVWQkNdRcCICNe68vclUrhTc+76ewsAsc/+h6jRH6dRtFmDN//NSA9qz7SnNk17atO0lVnbc9OmDbz//tssXLgcPz//Oz7ehg3rGDPmXRYsWIafn99tHUPXU6mTGe9NpYY1fB/+c2djOXII08cX/8ULMRJcc1lGfvQJcV26pfjezPp7lN68NW/IHLkHjRxBwKTxGI6bx+EMCia+bTviOj9DYtXqtz1cbWbI2xO8NW/w3tyVd/pI7bWUCn/XyKwXV2+84cfkya7efq1bJzB16q3PL5ASb/0lBO/NXXl7H2/NXXl7HxX+PC8zF/4OHjSwWFy9/U6dcn1Qr1DByYE1h3n8jZoYMdGYVivnNv/qVXN5ePPfjPSg9kx7atO0pzZNW5m1PU3T5IUXnqNBg0Z07Pj0HR3L4XDQs+ezNGnSnKee6njbx9H1VOpERMRkuSnwfGd/RUC/Pq5iiGmC08nlFOL/04O4D8fe8P0+PlYSEzPf71F689a8IXPkbtm/j+D7qyb5eQXXHH8YBs6SJbHu23fd+xzlymN/phsJ7Ttg5sp9S+fMDHl7grfmDd6bu/JOH6GhganaT4W/a2TWwt+FC1CnThBnzrhGZ120KIZ69dLmByizfkjJCN6au/L2Pt6au/L2Pir8eV5mLvwBHD5sJCn8FS5scuyYQZsdowj64F0A4p7sQOSkKWkSb1bgzX8z0oPaM+2pTdOe2jRtZeb2PHHiOL16dWfcuE+5554St32cL7+cxp9//sFHH32CcQcVKV1PpU5mvTeVEmv4PnLVrYHhdF63zQTObfoFZ+kyNzxGZv49Sk/emjdkntz95s0hZMBVRetL/0aOm0R8+074/PE//Gd/hd+387FEJx3u0/TzI/7RlsR17kpCvQfAcvNZtTJL3hnNW/MG781deacP9fi7TZn54mr2bF9eesk1PEe5cg5+/DEGH587P663/hKC9+auvL2Pt+auvL2PCn937t133+XLL79k7969AISFhfHRRx8RHh5OwYIF6dmzJ61atUrx/Zm98BcVBXFxBn/+6fpQnuiaSplmdc+Tu0ZFLOfPA3Buw1Ycl+Y8yu68+W9GelB7pj21adpTm6YttWfqecv11J3KzPemknOj4RJNq5XYPv2JHjbihsfw1t8jb80bMlfulvD9BMydheXIIZxFihHbqcv1I4BEReG3bDEBs7/E95et1x3DUaw4cZ2fIa5DZ5wFCqZ4rsyUd0by1rzBe3NX3ukjtddSN38MQTKNjh0TqFzZ9UPz119WvvrK18MRiYiISHaye/dulixZ4l4+deoUvXv3pkOHDoSFhTF06FDeeOMNduzY4cEo70xwMOTNa9KwoYOaNa9cjO8+lpMLTz9/Zb9hgz0RnoiIiEiWYzlyyNVTKjmm6doukok5S5QketgIIifPIHrYiOSH/Q8OJr7j00R8t5pzG7cR06svzjx53Juthw4S9O7b5K5yHzm6tMe24ju4NMcluHrGBo0cQcBzXQkaOQJr+PVDiIqIpBUV/rIQqxVGjboyt9/o0X6cO+fBgERERCTbcDqdDB8+nG7durnXLVu2jOLFi9OuXTv8/PyoW7cujRo1Yv78+Z4LNI1YLBBy1YNyhw4Z/Pv0ABLz3gWAbcNafNet8VB0IiIiIlmHs0gxUpyU0DBc20WyEUeZskS//S5n/9jDhS++xP5QI8xLvwOG04nfqhWEdu1I7qrlXMW+Tz4mV90aBEwaj++ibwmYNJ5cdWvgN2+OhzMRkexKhb8spmZNJ0884Xpa5Px5g9Gj/TwckYiIiGQH8+bNw8/Pj5YtW7rX7dq1i3LlyiXZr1y5cuzcuTOjw0t3oaHw29+hnHn9Xfe6kAF9MC5e8GBUIiIiIplfXKenwTS5ts+fCWCaxHbq4oGoRDKAnx/2Vm248M1izv26g+hXBuMofLd7s/XUSQI/+ZjgkSMwnE4Mh8P9L04nIQP6YAnf78EERCS7SoMZ4iSjvflmPCtW+BATY/Dll74880wC5ctfP4GyiIiISGqcOXOGCRMmMGvWrCTrIyIiyJ8/f5J1OXPm5PylefCS4+trTfGB77Tg42NN0+MVKWJw4oSFwECT6GiD+DbtOTv1C/Ls+Rnr8WOEjP2AuFHvp+k5M5u0blNvp/ZMe2rTtKc2TVtqT/F2jhKlSKhTD9vmjQCunk8WC5gmkeMmJT9sokg24yxSlJhXhxDz8mv4rl9DwOyvsK38DuPypOLXMHD9rgTMnXXTOTBFRG6VCn9ZUMGCJgMH2hk1yg+n02DoUD8WLYpN15tsIiIikn299957tG3bllKlSnH06NE7OlZCQvpP3p2WE2U7HBYSE02sVpPERIP4BJP/9ZhOy9eq4ZMQh+3zT4nu3A1HqXvT7JyZkTdOup6e1J5pT22a9tSmaUvtKd7McvJffH/dBoDp64u9STMcJe8ltlMXFf3E+1itJDR6hIRGj2CcOkVohzb47NxBsrdtnU6sf+/N6AhFxAtoqM8sqmdPO8WLu3r5bdniw7JlquGKiIjIrQsLC+P333+nT58+123LlSsXERERSdadP3+e3LlzZ1B0GcNigXvucV1XHTxoITpfMXY99jIAhsNB4NgxngxPREREJFML+GwiRnw8ALE9enNxxhyih41Q0U+8nnnXXSQ0egSsyfcMN0wT2w8rCH65P5YD4RkcnYhkZyr8ZVH+/vD223Hu5eHD/YiJ8WBAIiIikiUtXbqUs2fP0rBhQ2rVqkXbtm0BqFWrFqVLl75uPr+dO3dSuXJlT4SaLkqUcPLAAw4CA13LFy64nsXd3aIf9hyuAqffgq/x+f03T4UoIiIikmkZ584SMHMaAKafH7G9rn+YTMSb3XAOTMBwOgmYNYPcdaoR0vNZrDt3ZHSIIpINqfCXhTVt6qBhQ9c40ceOWZg40ebhiERERCSrGTx4MKtWrWLJkiUsWbKEKVOmALBkyRJatmzJsWPHmD9/PvHx8axfv57169fz1FNPeTjqtBMU5Hqg6rJLD6uT6B/MX837A64ncYNf7s/xgwkeiFBEREQk8wqY+jlGTDQAcZ264MxfwMMRiWQujhKliBw3CSwWTKsV89K/WCzEP9wUZ3AI4CoA+i9aSO5G9cjRqR0+P4d5OHIRycoM0zSvfeDAq50+HenpEG7JP/9YaNAgkMREA5vNpFOnBC5cMChSxEmnTgmUKHHzb6/NZvXa+Qi8NXfl7X28NXfl7X3SM/d8+ULS5biZzdGjR2ncuDF797rmmvjll18YOXIk+/fvp3Dhwrz88ss0adIkxfen97VUen6P4+Nh3borw/BYEu20e7cutn92A/Bn22EU+vzVdDm3J3nz34z0oPZMe2rTtKc2TVtqz9TzluupO5VV7k0ZUZHkrloey4UITKuVc1v/wFm02G0dy1t/j7w1b/C+3C3h+wmYOwufY4dJLFzUPQemcSGCgBlfEDDlUyxnziR5j712XWL7v4S90SNgJDtLYJbhbd/vq3lr7so7faT2WkqFv2tklYurq735ph+ff+7q7WcYJobh+r/ANGHcuDg6dEi84fu99ZcQvDd35e19vDV35e19VPjzvKxc+ANYtSrp/BuV4n6h0vMPAeDwsXFh1RocFSul2/k9wZv/ZqQHtWfaU5umPbVp2lJ7pp6up1InIiImS9zjt43/mIDhbwBg79iZ2M+m3PaxfHysJCZ63++Rt+YN3pt7innHxGCb/RV+n4zDcvRIkk2OipWIH/gyCa3bpDhfYGbnrd9v8N7clXf6CA0NTNV+KvxdIysW/rZvN3j44SDg2qtCE4sFtmyJvmHPP2/+kOKtuStv7+OtuStv76PCn+dl9cLf2rVW7Pak6+osHEzJxRMASCxTlvM/bgQ/v3SLIaN589+M9KD2THtq07SnNk1bas/U0/VU6mSJe1OxseSpURHL6VOYhsH5Tb/guLf0bR/OW3+PvDVv8N7cb5p3QgJ+C78hcOI4fP7em2RT4j0liO07gLinOma5zyPe+v0G781deaeP1F5LaY6/bGDpUl8syX4nDQwD5s71zeiQRERERLKk8uWd163b1nI4F0q4evn57N1Dju5PY1yIyODIRERERDIP/7mzsJw+BYD9sdZ3VPQTkav4+hLfoTPnN2zlwow5JFSt5t7kcyCckJf7kfv+SgR8NhGiojwYqIhkZir8ZQNHjqT8bTTNG28XERERkSvuuuv6URIctgA2/mcqDl/XU7V+q1cRPGhABkcmIiIikkkkJBA4abx7MWbAyx4MRiSbsliwP9qSiJVriViwFPsDD7k3Wf89QfDwIeSpXp7AD97FOHfWtT58H0EjRxDS81mCRo7AGr7PQ8GLiKepIpQNFCniTHHsd8NwbRcRERGR1Klf30GpUkmvnyKKVGDdwG9wGq7LZ//F3+K3aIEnwhMRERHxKL+F32C9NAdZfONHSKxY2cMRiWRjhkHCgw9xYeFSzq9cQ3zzx9ybLOfPE/Th++SpVoEcTz5Orro1CJg0Hr8liwiYNJ5cdWvgN2+OB4MXEU9R4S8b6NQpAddMjdc+oW5imq7tIiIiIpI6QUFQsuT1Pf9OVHyYP54a4V4OHvqqhtcRERER7+JwEPjJx+7FmAGDPBiMiHdJrFaDi1/O5dzGbcQ91RHTagXAiInGb/0aDKcTw+Fw/4vTSciAPljC93s4chHJaCr8ZQMlSpiMGxeHxQIWS9KbVOPGxVGixPU3rkRERETk1v3VYiAnyjcEwHLmDIFffO7hiEREREQyju27pfjs+wcAe516JNaq7eGIRLyPo0xZIidO5ty2P4l9roe7AHgtA8AwCJg7K0PjExHPU+Evm+jQIZEtW6Lp3dtOYODlQp9BpUoa5lNEREQkLRQrZhISauGXZz7CvDTkZ8AnYzFOnfJwZCIiIiIZwDQJHPeRezFmwCseDEZEnEWKEvXeh9ibNMdMaR4opxPLoYMZGpeIeJ4Kf9lIiRImb75pZ+jQePe6SZNsHoxIREREJOu6/35HkuWoKIiMhIuFyhDeqCsAlqhIAj/9xBPhiYiIiGQo208/4LtzOwAJlauS8FAjD0ckIgCOe0uDJfnb/IZpYtuwFttPP2RwVCLiSSr8ZUOdOiWQK5er19+iRT4cPZrCEx8iIiIikqLcuSEg4MpyYuKV0RR2t30N89KH64AvPscavo/ERE9EKSIiIpIBTJPAsR+6F2MGvAIp9TASkQwV1+lpME1SmuzJcv48oR3bEdqhLda9ezI0NhHxDBX+sqGgIHj2WTvgukE1ebJ6/YmIiIjcDpsNypVz0rSpA4cDfHxc62PzFWF30z4AGHY7IT2f46cfdWktIiIi2ZNv2GZ8f9kKQGKZstibP+rhiETkMkeJUkSOmwQWC6bVinn5X8NCYvF73PvZ1vxIrofqEPz6KxjnznowYhFJb7o7kU0991wC/v6u5zxmzfIlIsKz8YiIiIhkReXLO7jrLtc1VWIi+Pi4XsfHw/Y2Q0ksWQoA3z9/p+DOnzwWp4iIiEh6Chx3VW+/fi+lOKygiHhGfIfOnNvyG7F9+hPfug2xffpzLuw3zm/9g4uTp+MofDcAhsNBwLQp5K5VlYApn0JCgocjF5H0oP+ls6l8+Uw6dnT94Y6JMZgxQ73+RERERG5VSAj4+bleX93jDyAxIIToIcPdy/d9Pz6DoxMRERFJfz6//4Zt3RoAHEWLE9+mnYcjEpHkOEuUJHrYCCInzyB62AicJUqCYRDfph3ntvxG9OBhmIGBAFguRBA8bDC5GtTGtnolmCkNFCoiWZEKf9lYr152LBbXH+2pU32JjfVwQCIiIiJZ2P33OwgKSrouvvljOIoVB6DQzjVYd+7I+MBERERE0lHg+I/dr2NeHJD0SSgRyRoCAoh56VXO/fw7ce07uVf77PuH0M5PEdq+DdY9uz0YoIikJf1PnY3dc49Jy5aJLFniy5kzFr75xpeuXdV9W0REROR2hIRcv85pWInp1YeQ1we59hn8MhHLVoFhZHB0IiIikl34+lozzaWEZfdf+H2/DABngQI4u3TBZrOm+Xl8fNL+mFmBt+YN3pu7x/Muejfxk6eS2OsF/F9/FZ+fwwCwrVtDrofqYO/+H+JfH4qZJ2+antbjeXuQt+auvD1Lhb9srk8fO0uW+ALw6ac2nn46AWvm+NkTERERyfJOnjQ4XLwrjXN9TOD5E/hu+xnfTRtIeKAB4Joyw9fXw0GKiIhIlpKQ4PB0CG4hH101t98L/bBbfMGePvHZ0+m4mZ235g3em3umyLt8ZWKXrMRv6SKC3n4T65HDGE4nfl9Mwfebr4l55TViu/cAW9pNH5Up8vYQb81deXuOhvrM5qpUcfLAA4kAHDhg4fvvVesVERERSSs7dli4kBjE9rbD3OuCPnjX/froUUPDrYuIiEiWZDl4AL9FCwBw5spFbJdung1IRNKWYRDfui3nNv1C9JA3MQNd8xpYLl4g+M0h5HqwFrZVKzT/n0gWpMKfF+jb1+5+PXGiTX+rRURERO5QuXLOJMv7H3iamFwFAfDdGob1n78B12dkXXuJiIhIVhQ4cTyGw9VrIbZHbwgO9nBEIpIuAgKIGfAK57b+TmynLpiXxhr2Cd9PaJf2hLZrjfWvXQBYw/cRNHIEIT2fJWjkCKzh+zwZuYikQIU/L/DQQw7Kl3ddqP3+u5UtWzTWp4iIiMiduHbeHdPqw18tBriX/ed85Vqvwp+IiIhkQZYTx/GfNxsAZ3AIsc/18HBEIpLenPkLEDVuEhGr12OvXde93rZxHbka1SP08RbkqluDgEnj8VuyiIBJ48lVtwZ+8+Z4LmgRSZYKf17AMK7v9SciIiIit8fP7/rCH8CBeh1wWF0T+gXMmIoReVGFPxEREcmSAj6biGF33UuKe/Y/mDlzeTgiEckoiZWqcGHJCi5Mm4WjaDEADKcT25ZNGE4nhsPh/henk5ABfbCE7/dw1CJyNRX+vESrVokUKeIakuqnn3zYtUvfehEREZHbcf/9DkJCrlTzcuZ0/RsfkpcjNVoDYMTG4j9jGqZpqPAnIiIiWYpx9iwBX00HwPT3J6ZnHw9HJCIZzjCwt2zNuU2/EDXsLUxf3+R3u7RvwNxZGRqeiNyYqj9ewtcXevW60utv0iT1+hMRERG5HUFBV3r8FSpkEh19ZduOx19zvw74agamw6nCn4iIiGQpAVM/w4iJASCu8zOYd93l4YhExGP8/YntNxD7w00wSWbYEwDTxHLkUMbGJSI3pMKfF+nUKYFcuVx3nhYt8uHIkRT+WIuIiIjIDfn5gY+PqwB49cOvF+4ux8kqjQGwHj6Ic+lKnE4PBSkiIiJyi4zIiwRMmwKA6eNDTJ/+Ho5IRDIDx71lwJpCKcHpxAwMytiAROSGVPjzIkFB0L27q9efw2EwZYp6/YmIiIjcDpsNihVLvqK358Hn3K+rT+tPki6BIiIiIpmY/4xpWC5EABD3ZAecdxfxbEAikinEdXoaTJPkBjMxAP9v/kvApE/A4cjo0EQkGSr8eZnnnkvA39/1J3rWLF/On/dwQCIiIiJZ3LU9+o5Wf4x/73sQgMDzJyjydIvrdxIRERHJbGJjCfx8IgCmYRD74kAPByQimYWjRCkix00CiwXTasW0WFxfl7YbCQkEvzWM0DaPYjl4wKOxiogKf14nb16Tjh0TAIiJMZg5U73+RERERO7EtTU902JlW7dxOA3Xpbb/rt/x12T3IiIiksn5z/0Ky5nTAMS3aoOj1L0ejkhEMpP4Dp05t+U3Yvv0J751G2L7DuDchp+J6d0P89Ik6Laft5D7obr4z5qJJjsX8RwV/rzQCy/YsVhcf3inTvUlNtbDAYmIiIhkYUFB13+gvVioDDtbv+peDhz3ISQmZmRYIiIiIqlntxM4cbx7MabfSx4MRkQyK2eJkkQPG0Hk5BlEDxuBs2w5okeM5MLi73EULQ6AERNNyMv9yNH5SSwn//VswCJeSoU/L1S8uEmrVq4bT2fOWPjvf308HJGIiIhI1nX//ckP47n9iTc4Ua4BANbDh/D/5r+YJly4kJHRiYiIiNyc38JvsB47CkD8I01xVKzk4YhEJCtJqFOP8+s2E9ulm3ud348/kOvBWvgt+dZzgYl4KRX+vFSfPnb36wkTfDTvqoiIiMgt8vFxfV0a1SZZO9oMcb8OGdCHxEPH+flnawZEJyIiIpJKDgeB4z9yL8b0f8WDwYhIVmUGhxD10SdcmPMNznx3AWA5f54cz3cj4D/dMM6f83CEIt4jWxT+9uzZQ9euXalevTp169ZlwIABnD59mq1bt1KmTBkqVqyY5GvFihWeDtnjKld28sADrl5/Bw5Y+P579foTERERuRXFi5uUKZN8b7/LTpWtT3S1uu7lvP/pCMCmTVaN/CkiIiKZgt/yJfiE7wfAXu8BEmvW8nBEIpKV2R9pxrkNW4lv+bh7nW3BfHI1qIPvmh89F5iIF8nyhT+73U737t2pWbMmYWFhLF++nLNnzzJixAgAChcuzI4dO5J8NW/e3LNBZxJ9+17p9Tdxok3zrYqIiIjcouR6+wUFJV0+0W+E+7Vt+++EnPiH6Ghw3rhmKCIiIpL+TJPAcVf39nvZg8GISHZh5snDxS++5OJnX+AMzQmA9d8T5OzQluBXB0J0tGcDFMnmsnw3r9jYWAYOHEibNm3w8fEhd+7cPPLII8yePdvToWV6Dz3koEIFBzt3Wvn9dyubN1upX19jfoqIiIjcjkqVnGzfbiFnTpPo6CsVwT+D65GjeWfuWjEHgLKrJvFLt3EeilJEREQyO19f6w2HEk9LPqtW4rNrBwCJ1apjPPIwtow6+dVx+HjnUOjemjd4b+7elrfZsSNRDRoQ+OIL+Pzk6u0XMHMatvVrif18Ko5atT0cYfrztu/5Zcrbs7J84S80NJQnn3zSvRweHs6iRYvcvfqio6Pp06cPv/76Kzabje7du9OtWzcMD1zEZDaG4er116tXAODq9Ve/fqyHoxIRERHJmgoWNNm+HQoVcnLs2JWL/dhYONT7bfL+8DUWRyJlfprKrlaDgAKeC1ZEREQyrYSEDHoo2zQJHDPavRjd72XsCZ4bksBu986H0b01b/De3L0u77z5MRcsxjJlCsFvDcOIicF6IJyg5o8Q23cA0YNeBz8/T0eZrrzue36J8vacLD/U52XHjh2jQoUKtGjRgooVK9KvXz+Cg4MpXbo0Xbt2ZePGjbz33ntMnDiRhQsXejrcTKNVq0SKFHFd1K1Z48OuXdnmR0JERETEI/z9r19nz5WfA3Weci9Xn/2qhlkXERERj/LdsgnfX7cBkFj2PuzNWng4IhHJtgyDuGf/w/k1m0ioUdO1yukk8JOPydW0IdZdOz0coEj2kuV7/F12eS6/Q4cO8eabb/Lqq6/y0UcfMWvWLPc+9evXp0OHDnz77be0a9cu2eNk5HAKmYHNBv36ORg0yFXw++wzP6ZMsd/kXdlHZul6m9GUt/fx1tyVt/fx5twl87hc+AsJAYcDYmJc8/ntavkKJTfNBaDYL4s5+ef/oGY1D0YqIiIi3ixw7Ifu1zH9XgKLHgYXkfTlKFGKiGWrCJg0nqDRozASEvD5aye5mjQg+rVhxPbph/XQAfznzsZy5BDOIsWI6/Q0jhKlPB26SJZimGb2e9b4999/p0OHDoSFhZE7d+4k2+bOncv06dP58ccfk33v6dORGRFippKQYKVChQDOnzewWk22bYumSJFs92ORLJvNmim63mY05e19vDV35e190jP3fPlC0uW42U16X0tl1p/vVausNG3qcP/7228W7rrL5N9/Dc6dMwgMdBUAm/89gTzvDHa/7/ShkxAQ4MHIM2+bZlVqz7SnNk17atO0pfZMPV1PpU5G3Jvy+d+v5GrWCABHseKcC/sf+Hiuf4C3/h55a97gvbkr7yusO3eQo08PfHbvcq9LLF4C6+GDrjmqTNP9b+S4ScR36JzBUacNfc+9S3rnndprqSz/KE9YWBhNmzbF6bwyBrnl0hNK69evZ+7cuUn2Dw8Pp0iRIhkaY2YXFATdu7t6+TkcBpMn2zwckYiIiEjWUq9e0gv70FCTwEDw9XUtx8S4/t1W7XniQvK69/NbtjiDIhQRERG5InDcR+7XMf1e8mjRT0S8k6NCRc7/sI6YFwdiXrqf73MwHMPpxHA43P/idBIyoA+W8P0ejlgk68jyhb8KFSoQFRXFmDFjiI2N5dy5c0yYMIEaNWoQEhLC6NGj2bRpEwkJCWzevJmFCxfSsWNHT4ed6Tz3XAIBAa5efrNn+3LunIcDEhEREclCgoOTLpcqZZInj0np0s4k68/H+LOz5SvuZb8l32ZEeCIiIiJu1t1/4bfyOwAcBQsR95Tuk4mIh/j5Ef3GW0QsWYkzR2iyuxgAhkHA3FnJbheR62X5wl9ISAjTp09n586d1K5dm0cffZSQkBA+/vhjHn74YYYMGcI777xD9erVeeONNxgyZAhNmjTxdNiZTt68Jh07JgAQE2Mwc6Z6/YmIiHiTPXv20LVrV6pXr07dunUZMGAAp0+fZuvWrZQpU4aKFSsm+VqxYoWnQ84Srh3F0+mEPU37EJ2rEAC29WsxIi96IDIRERHxVoHjr/T2i+39Ivj5eTAaERFIrFUb+4MPYRpG8juYJpYjhzI2KJEsLFv04y9TpgyzZiVf8W/fvj3t27fP4Iiypl697Myc6YvTafDFF7688ILd01POiIiISAaw2+10796dzp07M3XqVKKioujfvz8jRozgmWeeoXDhwqxZs8bTYWZJyX5utVg4UqMVZVd/jmG3Y1u9ivi2T2Z4bCIiIuJ9LAfC8Vu8EABnnjzEPt3NswGJiFziLFESLBZwJD8/mrNIsQyOSCTryvI9/iTtFC9u0qpVIgBnzlj4+mtfD0ckIiIiGSE2NpaBAwfSs2dPbDYbuXPn5pFHHuGff/7xdGhZTnIPTTVpcv0H1yP3t3a/9lu0ID1DEhEREcEavo+gkSMIbd8Gw+kaijy2R28ICvJwZCIiLnGdngbTxExuo9OJUz1URFJNhT9Jom9fu/v1p5/aUnrAQkRERLKR0NBQnnzySXx8XINBhIeHs2jRIpo3bw5AdHQ0ffr0oVatWjzwwAPMmDED00z245jXe/DB6y+ekuv1d6pMPRILXBru88cfsPx7AqfTNRSoiIiISFry++9sctWtQcCk8VgPHgDABJyhOT0al4jI1RwlShE5bhJYLJhWK6bF4i4CGkDw6FEEDX0VEhM9GaZIlqDCnyRRqZKTBx90/fE8eNDCd99li9FgRUREJBWOHTtGhQoVaNGiBRUrVqRfv34EBwdTunRpunbtysaNG3nvvfeYOHEiCxcu9HS4WZLvpQEVTIuVyCc6A2A4HPjN/5p9+yz8848uz0VERCTtWMP3ETKwL4bTieFwcPXzSMFDBmEJ3++x2ERErhXfoTPntvxGbJ/+xLduQ2zfAcR2fNq9PXDq54R2fhLjQoTnghTJAgxTj2sncfp0pKdDyHA2mxW7/crT6evWWXnqqUAAKld28MMPMcnPT5MNXJu7t1De3sdbc1fe3ic9c8+XLyRdjpvZmKbJoUOHePPNN8mXLx8fffTRdfuMGTOG33//nblz5163LSIifa8bfHysJCZmvZ/vFSusAOTKZXL+vKuBHiz0N4UaVAIgslQVdn21GQyD++7L2MvzrNqmmZXaM+2pTdOe2jRtqT1TLzQ00NMhZAlpeW8qaOQIAiaNx0hmSCfTaiW2T3+ih41Is/PdLm/9DOOteYP35q68b4//nK8IfnUgRkICAIml7uXC7G9c8wJmcvqee5f0zju196bUnUuu06CBgwoVHOzcaeXPP61s3mylfn3v+yUVERHxRoZhULx4cQYOHEiHDh0YOnQouXPnTrJP4cKFWbVqVbLvT0hI/2uGrPjh4fJoNE6nSWKiq/AXU6g4Z++pSp4DvxOy7w/yLJzKv63/g92e8eN9ZsU2zczUnmlPbZr21KZpS+0pmZXlyCFI6Zl/03RtFxHJ5OI6P4OjRElyPNsZy7lz+Oz7h1zNGnJx+mwS6j/o6fBEMh2NJSTXMYykc/1NnGjzYDQiIiKS3sLCwmjatCnOqyaYs1hcl4nr16+/rmdfeHg4RYoUydAYswvLVVffpgl/th3mXr7nszewRl/0QFQiIiKSXTmLFEt+wmEAw3BtFxHJAhLq1OP8yrUklikLgCUigtCnHsf/y+kejkwk81HhT5LVqlUiRYu6bv6tWePDzp36UREREcmuKlSoQFRUFGPGjCE2NpZz584xYcIEatSoQUhICKNHj2bTpk0kJCSwefNmFi5cSMeOHT0ddpYTEHB94e94lWbEtWgJgE9MJAWW6kOriIiIpJ24Tk+DaXJtnz8TwDSJ7dTFA1GJiNweZ/F7iPj+R+IfbgKAkZhIyKABBA0ZdGWYFRFR4U+S5+MDL7xwpdffpEnq9SciIpJdhYSEMH36dHbu3Ent2rV59NFHCQkJ4eOPP+bhhx9myJAhvPPOO1SvXp033niDIUOG0KRJE0+HnaVUquTkwQcd1xX+AA73HI556Un8u7+eADExHohQREREsiNHiVJEjpsEFgum1Yp56V8sFiLHTcoS82OJiFzNDMnBxVlfE/PCi+51gV9MJrRTO4wLEZ4LTCQTMUwzpYG+vVNaTqCcVaQ04WR0NFSvHsS5cxasVpNt26IpUiR7/bhoklHv4q15g/fmrry9T3rmntoJlL1del9LZfWf7x07LBw/7iry1ajh5NdfXZXAB8d3ouivSwCIfO9D4p7rkWExZfU2zWzUnmlPbZr21KZpS+2ZerqeSp30uJ6yhO8nYO4sLEcO4SxSjNhOXTJV0c9bf4+8NW/w3tyVd9rynzuL4EEDMBISAEgsdS8XZ3+No0SpND/X7dL33Lukd96pvZZSjz9JUVAQdO/u+qPpcBhMnqxefyIiIiJ3wmKBxo1dHwK2b79yKb7r0YHu137Ll2R4XCIiIpK9OUuUJHrYCCInzyB62IhMVfQTEbldcZ26cGHBUpx58gDgs+8fcjZrhO/G9R6OTMSzVPiTG3ruuQQCAly9/GbP9uXcOQ8HJCIiIpKFXRpZCwD7lVHVOVuyBhcLuJ5KtW3eiHnwMJceWhUREREREZEUJNSpx/mVa0ksex8AlogIQtu3wf9LzZ8u3kuFP7mhPHlMOnVy3XWKiTGYMUO9/kRERERu1733OpPM8+dmGBy+//Eri++MZs0aKxqUX0RERERE5MacxYoT8d1q4h9pCoCRmEjIoAEEDRkEiYkejk4k46nwJzfVq5cdi8V11+mLL3yJjfVwQCIiIiJZlNWa8rZ/Gj3nfp37p8VYEu0p7ywiIiIiIiJuZkgOLn41j5gXXnSvC/xiMqGd2mFciPBcYCIe4OPpACTzK1bMpHXrRBYt8uXsWQtduwaQK5dJkSJOOnVKoEQJPYouIiIicqei8xblQJ2nuCfsG6wxkRTYuYZTNZqQP7+utURERLyJr68Vw/B0FBnLx+cGT0dlY96aN3hv7so7vVlJeO99YsqXI2BgP4yEBGzr1pCrxcPEzJuPs2SpDIrjCn3PvUtmyVuFP0mVPn3sLFrkC8C6dVYsFjAMmDjRxrhxcXTooC7TIiIiInfq8P2tuSfsGwAenPA08yqfpmkzFf5ERES8SUKCw9MheITdrry9jbfmrrwz4FxPdcZe9B5yPNsZy9mzWP/5m6DGDbg4bRYJDzTIsDjc8eh77lUyQ94a6lNSJTjYBC7fdDJwOg0cDgOnEwYM8Cc83MseRRMRERFJB0ert+T83eUA8LHHUmLjLA9HJCIiIiIikvUk1K7L+ZVrSSx7HwCWiAhCn3oc/5nTsIbvI2jkCEJ6PkvQyBFYw/d5OFqRtKXCn6TK3Lm+WJL9aTEwDNd2EREREbkzpsXKkRqt3MuVFr3PrwuPJdknISGjoxIREREREcl6nMWKE/HdauIfaQqA4XAQ8upActWpTsCk8fgtWUTApPHkqlsDv3lzPBytSNpR4U9S5ciRlH9UTPPG20VEREQkeYULm4SEJF3316MD3a+Dzxyizsi24LgyVMimTVYuXsyoCEVERERERLIuMyQHF7+aR0zvfu51hmliOBwYTieGwwFOJyED+mAJ3+/BSEXSjqo1kipFijhTnFjaMFzbRURERCR1qlRxXTvly3f9/H2J/sEsHxlGZL7iAOQ8thv//852b7fbMyREERERERGR7MFqJXrESOIfbkJyM6gbAIZBwFxNtSDZgwp/kiqdOiVgmsB1fxpNTNO1XURERERSJ39+1zVVaKhJqVLXP0AVUawSvzzzkXs56N23wakHrURERERERG6XGRJCir1bTBPLkUMZG5BIOlHhT1KlRAmTcePisFjAYkla/Bs3Lo4SJZJ7VkJEREREbsTfH+66K/nrqOOVmpDo6w+A5cxpfLeGZWRoIiIiIiIi2YqzSDGwpFASMQzXdpFsQIU/SbUOHRLZsiWa3r3tBAZevkFlcN99evpcREREJM1ZLPz5xBvuxYDPJly3i90OsbEZGZSIiIiIiEjWFNfpaTDNZIf7xOEgrtXjGRyRSPpQ4U9uSYkSJm++aWf48Hj3urFjbR6MSERERCR7KFDg+o+ffzd+ntjQuwCw/bSai0cvJtl+9KjBvn0WDh5MYbgaERERERERAcBRohSR4yaBxYJptWJaLFzp3gIhr72MERXpyRBF0oQKf3JbOnZMIH9+V0+/77/3Zc8e/SiJiIiI3K677zbx87t+vcM/iEM1nwDASEggdoJrsvmwMCtxcVf227tX12IiIiIiIiI3E9+hM+e2/EZsn/7Et25DXOdncObMCYDvb78Q2rEdREd7NkiRO6Q7BHJb/P3hhRfs7uXx49XrT0REROR2GUbKU00cqf6Y+3XxVdPBdD2TenmIT1NTLYuIiIiIiKSas0RJooeNIHLyDKLGTiTi2+9w5soFgO/WMEK7tIeYGA9HKXL7VPiT2/bMMwnkyuW607RokQ8HDmiIKREREZHUqlw5dfMknypbn4SAEACCj/9D3v2/AK5ioYiIiIiIiNwZR4WKXJi/BGeOUABsmzYQ2q0TSYZZEclCVPiT2xYcDD17unr9OZ0GEyeq15+IiIhIal09p5+PD/j4JN91z7T68GfnUe7l0j9OTvfYREREREREvElipSpc+PpbnMGuhy5t69aQ47kuYLff5J0imY8Kf3JHnnvOTkiI6ybVvHm+HD+uR89FREREbtW99zq55x6T0NDktx96oANOX9dDViU2zyP3gd8zMDoREREREZHsL7H6/Vz470LMwCAA/FavIsfz3SAhwbOBidwiFf7kjoSGQvfurqceEhIMPv1Uvf5EREREbpVhuL7y5r0y/Kev75XtzoAgIh9s6l5u8WZ9LKtW888/Fk6c0INXIiIiIiIiaSGxVm0uzJ2PGRAAgN+K5YS88B9ITPRwZCKpp8Kf3LGePRMICHD1+ps1y5fTp3XzSURERORO5MgBDkfSdX93eTPJcskXn8AnNjIDoxIREREREcn+EurW58JX8zD9/ADwX7qIkL49r/+QJpJJqfAndyxvXpMuXVzdnWNjDSZP9r3JO0REREQkJZd7+jmvdP7DMGCvtRwbBsxNsm/1/w7JwMhERERERES8Q0KDhlz4ci6mzTXCnf+38wkZ2DfpBzWRTEqFP0kTvXvb8fV19fqbPt1GRIRn4xERERHJikzT4K67XNdUefOaV613/Xu4emu+e2eze33Rrd/qg6eIiIiIiEg6SGj0CBenzcL08QHAf94cggcN0GcwyfRU+JM0UaiQSYcOrl5/UVEG06Zprj8RERGR22UYcPfdVwp/V3+ujCxVhdgc+QDwi4mg1IavMjo8ERERERERr2Bv2pyLU2ZiWq0ABMyaSfCQQVeezhTJhFT4kzTz4ot2rFbXH7wpU2xERXk4IBEREZEsysfHxHLVlfrVU0kYBmx9bpJ7ufa0PvhGR2RccCIiIiIiIl7E/lgrIj+dinnpQ1rA9KkEvTlExT/JtFT4kzRTvLhJmzaJAJw/b/DVV5rrT0RERORWGQZUr+4kX77ke/xZLHCsSjPiA3O619WZ2ouYmAwMUkRERERExIvEt2lH5CefYRoGAIGTJxE0coSKf5IpqfAnaap/f7v79aef2oiL82AwIiIiIlnUpc+SybJYwLRY2fLCNPe6or8tY9+nawH4808LiYnpHaGIiIiIiIh3iX+qI1FjJ7qXAyeMJfCDdz0YkUjyVPiTNFWmjJNHH3XN9XfqlIW5c9XrT0RERCQtXS4KHqvSjAN1nnKvb/xBa/wWfsO//xp66FRERERERCQdxHXqQuQHY93LQR+NJnDsGA9GJHI9Ff4kzQ0YcKXX36RJNhISPBiMiIiISDZz9dx/O1q/lmRbjhf+Q8iJfzI4IhEREREREe8R1+05okaNdi8HvfcOARPHezAikaRU+JM0V7myk0aNXONLHTliYeFCHw9HJCIiIpJ9XD0M6MXCZVk0dneS7TVmv6oefyIiIiIiIuko9vkXiBoxyr0c/PYbBEz51IMRiVyhwp+ki4EDr/T6Gz/eD4fDg8GIiIiIZFH58rkqeMHBV9ZdO/9fdN6iLP5wu3u58PYf8P1tW0aEJyIiIiIi4rVie79I9JA33cvBwwbjP32qByMScVHhT9JFrVoO6tZ19frbv9/C8uXq9SciIiJyM4ZhJhnKs1o1J4GBrnmUrdbL+1z/vqj8JTlXtKJ7OefLfcDpTOdoRUREREREvFvMgFeIfmWwezlk8Mv4z/7SgxGJqPAn6ejquf7GjbNpyCkRERGRmyhRwqRMmVsr2Nlsrn8395p2Zd2+vdh+XJWWoYmIiIiIiEgyYga9Tkz/l93LwS/3I2DCWIJGjiDgua4EjRyBNXyfByMUb6PCn6SbBg0cVK3qGuNz1y4rq1dbPRyRiIiISOZmsZCkx9/VLj9EdW2PP/ulZ60uFCnPjh4futfbVn6fDhGKiIiIiIhIEoZB9JA3ienV17VomgS9M5yAiePwXfQtAZPGk6tuDfzmzfFwoOItVPiTdGMYSXv9jR3rp15/IiIiIrfo2kKfzZbyBdWxJl1w+Li6ANrW/gSmybFjBkeOJDM+qIiIiIiIiKQNwyD6rVHEtWvvWgQMp9P15XCA00nIgD5Ywvd7Nk7xCpp4TdJV06aJ3Hefg927rfz2m5WNG608+KDD02GJiIiIZBlWKzgcV3r8FSvmJDLSSmzs9fs6/IM4ed+DFNrxI9ZjR7Hu3EG0XxUSEwH0BJaIiEhW4OtrTXZO3+zMx8c7R4ny1rzBe3NX3l7g7rsxDQPjmh4wBmAaBkFfzyZ++NueiS0DedX3/CqZJe9sUfjbs2cP7733Hjt37sTPz4+aNWsydOhQ8uXLR1hYGB999BHh4eEULFiQnj170qpVK0+H7DUsFujf306vXgGAa66/Bx9M5i6ViIiIiCTLajWTFP4sFvBJ4SreNA2OVnuUQjt+BMDv+2XQpgpHjhiUK5dBAYuIiMgdSUjwzgem7Xbl7W28NXflnb35HTroGrYluaHvTBMOHvSatvCWPK+VGfLO8kN92u12unfvTs2aNQkLC2P58uWcPXuWESNGcOrUKXr37k2HDh0ICwtj6NChvPHGG+zYscPTYXuV1q0TKVHCCcCmTT788kuW/7ETERERyTB3320SHHzlQ2POnFC7dvIfJEwTjlZp7l62bViXztGJiIiIiIjIZc4ixa6fr+Eyw3BtF0lnWb4CExsby8CBA+nZsyc2m43cuXPzyCOP8M8//7Bs2TKKFy9Ou3bt8PPzo27dujRq1Ij58+d7OmyvYrVCv37x7uVx4/w8GI2IiIgkZ8+ePXTt2pXq1atTt25dBgwYwOnTpwEICwujXbt2VKtWjUcffZSlS5d6OFrvUqiQSY4cSddZbnAVH5PnbmJzFQDA95et5N6wLB2jExERERERkcviOj0Nppn8RAtOJ7GdumR0SOKFsnzhLzQ0lCeffBKfS+MdhYeHs2jRIpo3b86uXbsod82YRuXKlWPnzp2eCNWrtWuXSOHCrl5/q1f7sGNHlv/RExERyTY0gkL2ceECYBgcqvuUe13R8a8nP8yMiIiIiIiIpClHiVJEjpsEFgum1YppsSQpAlqPHvFYbOI9ssUcfwDHjh2jadOmJCYm8tRTT9GvXz+ef/558ufPn2S/nDlzcv78+RSPowmU04fNBv37J/LqqzYAJkzwY+ZMe7qf92Yyy2SbGU15ex9vzV15ex9vzv1OXB5BoU2bNvj4+LhHUJg9e3aSERSAJCMoVKxY0cORe5eUpokAV6/A48evXMTuajeEYpvmEXDhFEEnD5LjxN9AqYwJVERERERExIvFd+hMQs3aBMydhc+xw3D0GLatYRimSY5e3Tn/0yacBQt5OkzJxrJN4a9w4cLs2LGDQ4cO8eabb/Lqq6/e1nE0gXL6ad/ewZgxPpw+bWHJEis7d5qULu1M9/PeTGaYbNMTlLf38dbclbf38ebcb9flERQuS80ICitWrMjoMOUGChRIWvhLDAjhr0cHUn3u6wAUD/uGmPZDCAz0VIQiIiIiIiLew1miJNHDRmCzWbHHJRDaqR22NT9iOXOGHM89Q8Ti7129ZUTSQbYp/AEYhkHx4sUZOHAgHTp0oEGDBkRERCTZ5/z58+TOndszAXq5gADo1SuBd97xwzQNPvnExsSJcZ4OS0RERC5JixEU0nv0BG/u1enjY8E0Dfdnw6vbwmZLumy1mhyt95S78Fdp8fscfOU5bBWuf6rUm9s0Pag9057aNO2pTdOW2lNERERuyGLh4qdTyfXwg1iPHsH3120Evf0G0SNHezoyyaayfOEvLCyMESNGsGLFCiwW17xxl/+tVKkSq1atSrL/zp07qVy5cobHKS7PPmtnwgQbEREGCxf6MGiQQbFimnNGREQkM0iLERQyYvQEb+3VmZgIISFX8k9MvLItPt5JQABERl5ZF5ejQJL33/14fc7/9Q+//mqhRo2koy7Y7Q5iYlCPwDTirT+j6UltmvbUpmlL7SkiIiI3YubOw8VpX5GzZVMMu53AKZ+ReH8t4lu39XRokg1ZPB3AnapQoQJRUVGMGTOG2NhYzp07x4QJE6hRowYdO3bk2LFjzJ8/n/j4eNavX8/69et56qmnPB221woOhuefd83t53AYTJyo7swiIiKZydUjKCxfvhwfHx+NoJBJ3Hefk/vvT/nG8j33XCnmXS4K7mg/3L3O58xJrH/v5ezZ5LtkbtyoHisiIiIiIiLpJbFqdaKu6uUXPKAv1r/3ejAiya6yfOEvJCSE6dOns3PnTmrXrs2jjz5KSEgIH3/8MXny5GHy5MnMnj2b6tWr8+677zJmzBjKli3r6bC92n/+YycoyNXL77//9eXff9NxPDARERG5qbCwMJo2bYrTeaVwdPUICjt37kyyv0ZQ8IwiRUx8bjBeh5nMIAq7276Kw9fPvWxbv+aG+4uIiIiIiEj6ievanbgnOwBgiY4iR/enISrKw1FJdpPlC38AZcqUYdasWfz555+EhYUxduxY91w0999/P0uWLGHnzp2sWrWKJk2aeDhayZXLNeQngN1u8Omn6vUnIiLiSRpBIesqUMBVvbtREW/l8LXu1zELfgDg5EmDHTuyxUcBERERERGRrMMwiBwzjsT7ygPg8/deQl7ppyczJU3p0754RK9eCfj7u/6YffWVb4pDTomIiEj60wgKWVflys6b7hNRpAIxuQoCkO+PNQSfOkBCAtjtKewfAWfO6NpMREREREQkXQQGcnH6VziDQwDw/3YB/tOneDgoyU5uMFiQSPq56y6Tzp0TmDbNRkyMwdSpvgwenMLdJxEREUl3l0dQSM7lERQkazItVvY+3JOq80dgmCblvhvHwQrjMFKo7Z05YxAba5A3r544FRERERERSQ+OkvcS+clnhHZ/GoDgN4eQWKkKiffX8nBkkh2ox594TJ8+dnx8XDeUvvjCxsWLHg5IREREJJu5NFUj+xs8g9Pqeuav9JovCFiyIMXC39XrNdqMiIiIiIhI+rA/1oqY3v0AMBISyPF8N4wzZzwclWQHKvyJx9x9t0n79gkAXLxoMH265voTERERSa369R3u11Zr8kW6/PldK+NC83Oo1hPu9VUWvIXhSLxu/8SrVh09arBrlz4uiIiIiIiIpJfoYSOw164LgPX4MXL0eg4cjpu8S+TG9ElePOrFF+1YLK4bUpMn+xId7eGARERERLKIoKArr1MalvPqz4thz33qfh1y6gA5d2+9bv8tW6zu14mJkJBw53GKiIiIiIhICnx8iJw6E2e+uwCwbVhL4Jh3PRyUZHUq/IlHlShh8vjjrkfLz561MHu2r4cjEhEREck+7FdNoey0+bO555UJ4/P+svq6/R0OUhwCVERERERERNKeM38BLn7xJabV9SBm0MdjsK1e6eGoJCtT4U88rn//K3ekJk2yER/vwWBEREREspFri3gnKj7sfl3i6w85vfKPJNsvFwo1t5+IiIiIiEjGSahTj+ihI9zLIX16YDl00GPxSNamwp943H33OWnWzDWO1L//Wvj6a/X6ExEREUmte+91AskX664t/MWF5icqTxH3crlnHmTnxoh0jE5ERERERERSI7ZPP+KbPwaAJSKCHM89A3FxHo5KsiIV/iRTGDjwSq+/Tz6xkZjowWBE/s/efYdHUXZtAL9ntqWHEmqooQqEXgOvdBWxgIoiUiyfBbGAiPgqWF5RBBsoiNgRBFREsWChKR2kh15CDQEMkJ6tM98fw/bZzSYk7CZ7/66LKzv9PJMFZubMcx4iIqJyJCnJmfGrVMl9mahytb/54Tlu0xFLFqvulyU/iYiIiIiIriFBQO4Hc2BtmAQA0O3ZhZgXnwtyUFQeMfFHIaFdOwk9eyrZvlOnRIwaFYFHH43AlCl6pKXxqRMRERFRSagl78617I21T3zlmK7zzzIcO+Zc8cgR3iIQEREREREFgxwXj5zPF0COjAQARM7/EobFXwc5KipveFdPIeOZZ5y9/las0GLZMi1mz9YjJSUaixdrgxgZERERUeirUkVGw4aS2zxfvfZOdb4DudUaAABq7F8L+bP5bss5xh8REREREVFw2Fq2Qu709xzTsc+Ng2ZvahAjovKGiT8KGTVqSADsT5kESJIAm02AJAFjx0aw5x8RERGRH1FRQEKCe8ZOrdQnAEAQcLz7UMdkt08fR/S/J71WsycAt28XYbGUVqRERERERETkj+meYSgc+SAAQDAaEf/gcAjZWcENisoNJv4oZCxcqPPxcEqAICjLiYiIiChw/sbpO9T/MbfpFr/OcHz27PGXmam8jAWAYzETERERERFdA3lT3oSlTTsAgObEccQ+OZrlWSggTPxRyDh92vfXUZb9LyciIiIiJdGXnOws9+n5UpVG4/xsiquGJbPSHNPNVn2MTvOfhWCzQpZ9Jw1XrdKoLyAiIiIiIqLSExGBnM++glSpEgDA8PuviJw1M7gxUbnATAqFjLp1JZ8PmARBWU5EREREvgkCULu27DbtudyVMb4GTnce5Jhu9ucc9Jl+G18iJSIiIiIiCgFSvfrInfMp5Cs3c9GvvwLdhnVBjopCHRN/FDKGDbNcecjk+aRJhiwry4mIiIgocKLofl2lUemsd7znSLfpWvv/hv7c6bIMi4iIiIiIiAJk7nsDCsZNAAAIkoS4Rx6AeC4jyFFRKGPij0JGUpKMGTOMEEVAo5HhTAAKGD3ajKQkvnpOREREVByePfxcewPanW1/M46n3OM2r/f910E8fLhEPf/YW5CIiIiIiKh0FUz4L8w9ewMAxH8vIO7h+wELO8qQOib+KKQMHWrFxo35GDPGjLZtnaU9//hDC5MpiIERERERlUM1aypZuPh4wGAAtFr1rNyG0Z/jpze3u81rN6wDIs+mqa7viyQBq1dzDEAiIiIiIqJSpdEg56PPYUusAwDQbdmEmPFPI3rKK4h99AFET3kFmrSjQQ6SQgUTfxRykpJkTJpkxu+/F6BjRxsA4OhRDebM0Qc5MiIiIqLyJSpK+XnddTbIsncPQFc5tZsht3pDt3k9H2oNc37x3iK1WosbJRERERERERVFrloVOZ/Og6zTAQAiFy9A5KwZMCz7AZGzZ6JySkcYFn8d5CgpFDDxRyFLFIHp041Xyn4C776rx8mTfp5WEREREZEqfwk/15V+e3s7TnS5y212YsOqgCQFVMLTZitZfERERERERFQ0a4dOyH/qGce0IEnKH5sNkCTEjh0DMe1YECOkUMDEH4W0Vq0k/N//KW+ZG40CXnghguPGEBEREZWALAOVKvm+kKpcWYZNa8D6J+Zh763Pui3r/tFDRe7famWZTyIiIiIiorImms2QVd7uFABAEBC5cP41j4lCCxN/FPImTjShZk1lvL8VK7RYvlwb5IiIiIiIQltMDFCnjneSr3JloEoV9eRfRISzx55n4q/hpm9x8dl3Sz1OIiIiIiIiKh7xzCnfZV1kGeLpk9c2IAo5TPxRyIuJAaZMMTmmX3zRgLy8IAZEREREFOK6d7ehZUtJdZmv6gn160uOpKA1MhYL5ufjfLPujuVtv30F4skTAIDjx1l+nYiIiIiIKBikuvV9J/4EQVlOYY2JPyoXbr3Vit69rQCAs2dFvP22IcgREREREZUP2gCLJcTHA7GxQFSUc97qCT+6rWO77zEAwOHDvI0gIiIiIiIKBuOw4YAsw/OdThkAZBmFw0YEISoKJbxjp3JBEICpU40wGJR/zubO1eHAAX59iYiIiIrSt6/N7WVQWfbfW69aNefto80QhRUv/OaYjjt7CIJkU90u0HGYMzPZW5CIiIiIiKikbEmNkTtjNiCKkDUatwRg/oT/QkpqFLTYKDQwc0LlRlKSjKefNgMAbDYBzz1ngKRewYqIiIiIfJBloEWLwC+izl93PQrjqwMAIvIuotqhjVd1/O3beQtCRERERER0NUxD78OljdtROOZpWFu0AgAIAPTr/g78rUyqsHjXTeXKk0+akZSkPKjaskWLb74JsHYVEREREQEAJAkwBFA1Xadzft5x7xuOzykfP1LkthcuCMjOLkl0REREREREFAgpqRHyJ72CrD/WwNagIQBAv3E9DD/9EOTIKNiY+KNyxWAApk0zOqZffdWAS5eCGBARERFROSPL3uPA25N8guB8OdR1nTNtB8Cm1QMAYjJPoe/Um3H+vACz2X2/dpIE2NQrghIREREREVFpMhiQN+VNx2T0K5OAgoIgBkTBxsQflTs9e9oweLAFAHDpkogpUwJ4ZZ2IiIiIAACiCK9y6SkpSpZOEJwJO9dEniW6Eg73/T/HdK39f0PevgsWi+/jFDWWIBEREREREZUOc/+bYO7TDwCgST+DqA/eC3JEFExM/FG59OqrJsTEKE+jFizQY+tWfpWJiIiIfHHtvWdP/N1wg5Lhi4+XERGhLMvLA9LTBSQne48BuOfOyW7TdWe/5JYc9PW5JNLTBRw5wus7IiIiIiKigAgC8qZMg6xVhsaKmj0T4qmTQQ6KgoV301Qu1awp47//NTmmn3suAlZrEAMiIiIiCnH2ZFz79jbUqCF7lft0Vbu2d+bOEhmHpTMOOaZj9v4DmExe69n3ezXJP5MJMBqLXo+IiIiIiIgUtsZNUPjwaACAYDQi5pVJQY6IgoWJPyq3HnjAguRk5U31/fs1+PRTXZAjIiIiIgpN0dFA9+7KdZNOp/T6U+MvGQgAxmp1cL75fwAA2sI8xH31sWOZZ4+/q+31R0RERERERMVT8OxESNWqAwAMvyyDbu1fwQ2IgoKJPyq3tFrgrbeMEATlqdK0aQacPcuxZIiIiIg8CQIc5TyvhigCu+56yTFddeqLMPywxOtYgdq3T/Q7TiAREREREREFTo6NQ97kVx3TMZMmgqXywg8Tf1SutW8vYeRI5WlRfr6AyZMNQY6IiIiIqPxyTdqp9dizWoF/m6Xg3HXXO+ZFTnsDsgz8/bfGbdtAevydOSPAZruaiImIiIiIiMiV6e57YWnfAQCgPXgAEV9+GuSI6Fpj4o/KvRdfNCEhQQIA/PyzDqtXa4rYgoiIiIjs2rSRHJ89y3X6svaprx2fdWlHEfPkY45pQSheqU+WBCUiIiIiIipFooi816c7JqOnvQEhMzOIAdG1xsQflXuVKgGvvGJyTE+cGIHCwuDFQ0RERFSeREerz5ck9fkAYI6pgu3Dpjqmo75diKiLZwAEXurTaAw0QiIioorhhx9+wG233YY777wT27dvD3Y4RERUgVk7dIJx6H0AADE7C9FTXwtyRHQtBTXxZzKZMH/+fMf0qlWrMHr0aLz55pvIz88PYmRU3gwZYkVKilKr+ORJETNn6oMcERER0bXB6ykqTYH2+AOAQ/0fc5tu9dN0H2uqO3WK7yASEVH4uHjxIj7++GMsXrwYb7/9NtasWRPskIiIqILLe/EVSDGxAICIBV9Cm7o7yBHRtRLUu+3XXnsNP//8MwAgLS0NzzzzDFq2bImzZ8/i9ddfD2ZoVM4IAjBtmglarfKEatYsPY4dC/B1cyIionKM11NUmurUkdGtW2CD7klaPb5//6hjuunqz1AzdRWsVmDfPpElPImIiFxs3LgR119/PaKiotCwYUM8++yzwQ6JiIgqOLlGDRSMnwgAEGQZMf+dwLEWwkRQE3+rVq3Chx9+CABYtmwZevTogSeeeAKvv/461q5dG8zQqBxq1kzC44+bAQBms4CJEyP47xgREVV4vJ6i0lS9uoy4uMDXL6xcC3sGv+CY7jf9NkRfOBHQtrxOIyKiULdu3TqkpKRg3LhxbvPT09PxyCOPoEuXLujduzfeeustSP5qZAPIyMhATk4OHnnkEYwYMQJ79uwpy9CJiIgAAIUPPwZro8YAAN3WzTAs/S7IEdG1EPRSnwkJCQCADRs2oF+/fgCAmJgYlqaiEnnmGTPq1lUutteu1eLHH7VBjoiIiKhsldb1VHp6OsaMGYMuXbogJSUFzz//PHJycnDmzBk0a9YMycnJbn8+++yzMmkPhRbP8f90Ou91Dt4w2m36xtf6AvCf2Dt5UnAsNxqBjAxWaiAiotDyySefYMqUKahfv77XsieffBI1atTAypUr8cUXX2DlypWYN28eAOC7777D3Xff7fbn4MGDAICcnBzMmTMHL774IiZNmnRN20NERGFKr0f+lDcdk9H/ewnIywtiQHQtBDXx16RJEyxduhTLly/H0aNH0adPHwBK+YNatWoFMzQqp6KigDfeMDqmJ082ICcniAERERGVsdK6nnrssccQFxeH1atXY+nSpThy5AimTZvmWJ6amur256GHHir1tlBoqVxZRnKyUvYzJUX5KQhKOVBX5pgqONbjPsd0VNY5dPlsjN/E36VLzkRfTo6A48c53h8REYUWg8GAJUuWeCX+UlNTcfDgQTz77LOIjY1FgwYNcP/99+Obb74BAAwZMgTffvut25/mzZujatWqaN26NTQaDZo3b47Lly9DZvd3IiK6Bsx9b4DphpsAAJqMs4h6/90gR0RlLah32C+++CLmzp2L119/HS+++CLi4+ORlZWFJ554Ak8++WQwQ6Ny7MYbbbjpJgsA4MIFEW++aQhyRERERGWnNK6ncnJy0KpVK4wfPx7R0dGoWbMmBg8ejG3btpVx9BTKOneWEB8P9O9vg0bjnC+odM7b8tAst+kmf32JmrP+57Xe9u3K7ceFCwIuX1Z2JMvq+yQiIgqmkSNHIjY21mv+vn37kJiYiPj4eMe8li1b4vjx48jz04MiJSUFW7ZsgSzLSE9PR6VKlSDwP0AiIrpG8v43FbJeDwCI+vB9iMfTghwRlaWg1kFs3bo1/vjjD7d5lSpVwu+//44aNWoEKSqqCN54w4S1a7UoKBDw+ec6DB1qQevW/uvtExERlUelcT0VFxeHqVOnus3LyMhA9erVHdPPPfccNm7cCKvViiFDhuCpp56CTq3uI5UrTZpIKOpdQFF0T8zZP3fpYsOWLUpGUNLq8c1H6bjnsUTHejU+fQuZTz8C+cr3MD8fyMx07si1Ei07PBARUVmTZblUEm1ZWVmI8xgQ154EvHz5MmJiYlS3q1WrFvr06YMhQ4ZAo9HgpZde8nkMnU4Tdi/FaLWaoleqgMK13UD4tp3tDj8h0/bmTWF6/AlEzHgXgtmMuFcnoWDhN2V2uJBp9zUWKu0OauIvKysLH330EZ5//nkAwNdff41vvvkGDRo0wKRJk9weNhEVR506MsaPN+O11wyQJAETJkRg+fICt7fViYiIKoKyuJ5KTU3FggULMGfOHOj1erRr1w79+/fH66+/jgMHDuDJJ5+EVqvF008/XdrNoWssKal4GTfRJUfomfe1RFfCD+/sw+DxLR3z4h4ehexlvwGCAJMJiIwECguVZUz2ERFRaVq+fDlWrFgBALjtttvQu3dvx7KjR4/ixRdfdJTjvFolLdE5fPhwDB8+vMj1LBZbifZf3pnNbHe4Cde2s93hJ1TabnlqPHSLFkJz/hx0y3+B/PsfsPTpV2bHC5V2X2uh0O6gJv4mT54Mm005CampqXjrrbfwyiuvYO/evZgyZQref//9gPaTnp6ON954A9u2bYNGo8H111+PF154ATk5Oejbty/0V7qw2o0dO5bj0oSBxx4z49tvtTh0SIOdOzX46isdHnjAEuywiIiISlVpXU/Zbd++HaNHj8b48eORkpICAFi8eLFjeevWrfHoo49i7ty5qom/sn5DPVTenqtIAjmnkqSs162bDadPi9BqRRgMgMEgwmZz/sJNtRthw1ML0P195aGmfvNGRK1fA2vf/tDpAJ1OhMXiXF8UAb1egE4nwPWSXacToNUqy8obfkdLH89p6eM5LV08n8G3aNEiTJ8+HQMHDoTFYsG4ceMwZcoU3HTTTZgzZw4+/vhj3HDDDaVyrCpVqiArK8ttXlZWFgRBQJUqVUrlGERERGVBjolF/kv/Q9yYRwAAMZOfx+X/bPJ+q5PKvaAm/rZu3YqVK1cCAH755Rf069cPgwYNwk033YQ+ffoEvJ/HHnsMrVq1wurVq5Gbm4sxY8Zg2rRpGD16NADlIRiFH50OmD7dhNtvjwIAvP66AQMHWlG9Ol8vJyKiiqO0rqcAYPXq1ZgwYQImT56MQYMG+VwvMTERmZmZqiWzrsUb6qHw9lxFU9Q5NZsBqxWw2WywWERYrTIsFhuqV5dx+rT7d+B4p8GoNHgiWv4wDQCg/ewzFPToDZNJhM2m7MfVvn1ATIzsFoPFIsBqFWA2l89S7fyOlj6e09LHc1q6eD6Da+HChXj//ffxn//8BwBw4403Ytq0aZg7dy6MRiPmzJmDHj16lMqxWrVqhYyMDFy6dMmR6EtNTUXjxo0RHR1dKscgIiIqK6a77oHli0+h27YV2iOHEfnZXBQ+9kSww6JS5n9AjzImSZKj9vmGDRvQt29fAIBOp0OhvQZQEXJyctCqVSuMHz8e0dHRqFmzJgYPHoxt27aVWdxUfnTrZsM99yi9/HJyBLz6qiHIEREREZWu0rieAoAdO3Zg4sSJmDlzplvSb9OmTZgzZ47bumlpaUhMTCyVcXKofImIcB/vT/RxN3Ho1qdh1SsvXxmW/4zIWTMBQLU3qFQ+c3tERBRCzpw5g+7duzume/TogdOnT6NPnz745ZdfSi3pBwAtWrRAcnIy3nnnHeTl5eHYsWP44osvcO+995baMYiIiMqMICDvjemQr9ycRb31JoQLF4IcFJW2oCb+WrVqhdmzZ+OTTz7BhQsX0KtXLwBKXfaGDRsGtI+4uDhMnToVCQkJjnkZGRlu49k899xz6NGjB7p27Yp33nkHFgvLPYaTl182oVIlpZffd9/psGEDy7AQEVHFURrXU1arFZMmTcKzzz7r9WAsNjYWs2fPxrJly2CxWJCamorPPvuMD7fCjD1hJwjun30l/ixR8djywAzHdMxrLyFq45qyDZKIiMKWJEkQXf5T0uv10Ol0GDduHAyGkr0AnJycjOTkZCxbtgy///67YxoA3n//fVy4cAHdu3fHyJEjMWjQIAwbNqxU2kJERFTWrG3bw3jfSACAmJuD6DdeDXJEVNqCmvh7+eWXsXPnTvz555946623EBkZiaysLEyZMgUTJ04s0T5TU1OxYMECjB49Gnq9Hu3atUP//v2xZs0afPzxx/jpp5/w4YcflnJLKJQlJMiYNMnkmJ440QCzOYgBERERlaLSuJ7atWsXjh07hilTpjgeatn/VK5cGe+99x4+//xzdOzYEaNHj8aIESMwatSoMm4ZhRK1nnpK4k+9hLogAMd73Ifj3e52zKv/f7dBV5Ad0PGOHHG/Tdm3L6i3LUREFIZSU1ORmpqKAwcO4MCBA45pAKhZsyY++eQT7N69Gxs2bMCTTz7JSghERFSu5P/3JUhx8QCAiEULoN25PcgRUWkSZFkOuQHPTCZTid7I2r59O0aPHo0nnngCI0eOVF1n4cKFmDt3Lv7++2/V5VlZBaoPNioyrVYDq7Vij0cgScCNNxrwzz9Kb7+XXjLjmWesYdF2NWx3+AnXtrPd4acs2x4fH1Um+y0rJb2eulr//ptbpvvX6zUcR6mUBXJOzWZgzRoNbrzRhiNHRKSlCejd24YzZwSvJB0AGAyAyQRoC3Mx9JGabstWj/8eZ9ve5DYvLk4p0W73xx8a1K4to2VLCaKoTN94Y/n4vfM7Wvp4Tksfz2np4vkMXLVqsWWy39atW+Onn36C6yOu22+/3WteoNUQgq2sr6dCUbj+PQrXdgPh23a2O/yEctsj585GzOT/AgAsHToh69cVvsu6FFMot7sslXW7A72W0pZZBAFatGgRli9fjvT0dAiCgHr16mHw4MG47bbbirWf1atXY8KECZg8ebLbuDSeEhMTkZmZCVmWVd/GsljC78sIhMdA5G++aUT//lGQJAHTpulw8iSQlyciMREYNsyCpKSQy4GXqXD4nasJ13YD4dt2tjv8hGPbS+t6isgXXz3+inphzhoZi79e/g29Xh3gmNfnnTux8IvLkLT6Io+7YoUGKSnh93eaiIiKx2w2Y8CAAfB8t/2mm26CIAiOZ0AHDhwIUoTFo9NpwvKl9HAUru0GwrftbHf4CeW22x4bDduCedAcOgjd9n8Q/cO3sNx7X6nsO5TbXZZCpd1BTfzNmDEDS5Yswe23345bb70VAJCWlobXX38dBQUFGDp0aED72bFjByZOnIiZM2e6jUuzadMm7Nq1C6NHj3bMS0tLQ2JiIkswhKHkZAkPP2zB3Ll6mEwCvvpKd+WBlQazZukxY4YRQ4dagx0mERFRsZTW9RRRoARBBiD4HePP9VL7TOPrvZYPe6AyFnyV51gxJwew2QCNyj3Sxo2hceNERESha9WqVUWuc+HChWsQSengS+nhJVzbDYRv29nu8BO6bReR+9qbqHT3IACA4eXJKLhxIOSY0umhH7rtLluh0O6gJv6WLl2KTz75BNddd53b/JtvvhkTJ04M6EGV1WrFpEmT8Oyzz7ol/QAgNjYWs2fPRu3atXHzzTfj4MGD+Oyzz/DQQw+Vajuo/BgyxIy5c3UABMiyAOfLgDLGjo1A5875Ydfzj4iIyrfSuJ4iKoprIs/+WRCAxEQZBw/6Xx8A/piXhhtHJbnNS1q3AGnXj3BMFxYCMTG+Yzh0SESzZlJxQyciojCQmJhY5Do333wzdu/efQ2iISIiKj8svfrANOAWGH77BZoL5xH17lvIf+l/wQ6LrlLpFGwtoby8PDRp0sRrfsuWLQN+E2vXrl04duwYpkyZguTkZLc/lStXxnvvvYfPP/8cHTt2xOjRozFixAiMGjWqtJtC5cRPP+l8vJmuvLW+cKHuWodERER0VUrjeoqoJAQB0Pp4jdAz8WepUgM/vrPXbV7KJ4+h8oldPvfvORL5iROs2EFERCXnWQaUiIiIFHmvvg7ZYACgjPunOXYkyBHR1Qpqj78mTZpgyZIlXm+iL126FPXr1w9oHx07dsShQ4d8Lk9MTET//v2vKk6qOE6f9p3rlmX/y4mIiEJRaVxPERVFrcefXadONvzzj3o5Tp0OsFiUz3nVG+KnH3Jx22Bn2ZiBk7tj3Zh5ONn1Lsd+ray8TkREZYBDvhAREamTGjREweNPIvq9tyFYLIh+6QXkfP1dsMOiqxDUxN+ECRPwf//3f5g/fz4aNWoEQBmT5vTp0/jggw+CGRpVUHXrSj4HyBYEZTkREVF5wuspChb7NVWVKkBsLJCb673M67pLFPHX04vRa6YzUf2f2aPwn9mjcGH2V8CQQdi6tegx/XJzgf37NejY0QZZ9t3zkIiIiIiIiIpW8NR4RCxeCE3GWRhW/AH9it9h7n9TsMOiEgrqLXLHjh2xatUq/PLLLzhz5gzMZjMGDx6MAQMGsDQVlYlhwyyYNUsPQAbg+iRKhiQpy4mIiMoTXk/RtaD24pTrvFq1JOTmKpUTOnSQcOiQ6HO7Mx1vxcnOd6D+1qVu86s9MQrZtX+BJPcqMh6rFTAagePHBRiNAlq14stbRETh7JtvvilyHZvNdg0iISIiKqeio5H/yhTEPfqgMjn5vzD37APo9UEOjEoi6O/GVq1aVXXMvQEDBnDQZSp1SUkyZswwYuzYCAiCkuyTZQGAgNhYCXFxwY6QiIio+Hg9RddSvXoyjngM+eCa4KtUSfZZYcFu3ZPzkbG6N7p+8aRzH7KM2CcehfDBQbi/oEVEROTf3Llzi1ynevXq1yASIiKi8ss06E6Yv/gU+s0boU07hsiP56DwiaeDHRaVQNATf75w0GUqK0OHWtG5cz4WLtThzBkNtm4VceaMiJwcEU88EYGFCwshcqg/IiKqAHg9RaXFNZFXVFlN13Xt11Si6FltATja50Ecu34Eahxajz5vDYJos0KTfgaJG7/HoTZ3lU7gREQUFlavXh3sEIiIiMo/QUDe69NRuf/1ECQJUe9Mg2nIPZBq1Ax2ZFRMIZv446DLVJaSkmRMmmSGXq/B6dMSeveOQmamiNWrtZg1S4+nnjIHO0QiIqKrxuspCgaNxnuMP/tPz1y0rNUhq0NvrH3ya/SacQ8AoMnCqTjU5i5IZVC9U5IAmw3Q6Up/30RERKVFp9MU2Xu+otFqix7jtyIK13YD4dt2tjv8lLu2d2gH8/0PwvD5pxDz8xD7+iso/OiTYu+m3LW7lIRKu0M28Ud0rdSoIWPOHCPuvjsSsixg6lQ9One2oWtX1v8nIiIiApTEXe3agfcg9XxY6SvxByi9As90uAWmlm1g2Lcblc4eRNMVH+Fw/8euImJ1J04IyMsT0Lo1xwQkIqLQZbGE5/MIs5ntDjfh2na2O/yUt7ZbJrwI3fdLIGZnQb94IZCRAWubdjAOGw5bUuOA91Pe2l1aQqHdQUn8cdBlCjU9e9rwzDNmvPOOATabgEcfjcDq1QWoWpUl0oiIKDTxeoquteRkZ7KsSRP3xFlUlPo2nj3+/K1j7N4Lhn3KmJRtv30FR/o+DFkMjbcliYiIiIiIwoVctSpM/W5A5PffAgB0f6+Bbv1aRM6agdwZs2Eael+QI6SiBCXxx0GXKRQ9+6wZmzdrsGGDFhkZynh/X3/N8f6IiCg08XqKgikpyf3lqOrVZVSuLOPyZSWL5yvhpzY+oP1aK3vEI4j/eCYAQG/MRcMNi5D2n+GlGjcRERERERH5p0k7iogfljimBQCw2SADiB07BpbOXSElNQpWeBSAoCT+OOgyhSKNBvjoI6NjvL9VqzjeHxERhS5eT1EospfQFEUZV24PATgTgBqN+3zXZbbEuth23zR0/HoiACDl40cRl3EEu+5+tazDJiIiIiIioisiFi5QLdsiAJAFAZEL5yN/0ivXPC4KHPsyEbmoUUPGhx8aIQjKW+xTp+qxeTNLTBEREREFwj6Gn+c9YqNGkmO551iBggA0baosP9n5DrdlrX5+G9UObQjo2H/9Fdg1m7+yo0REREREROFOPH1SfYB2AJBlZTmFNCb+iDz06mXDuHFKLz/7eH8XL/IJEREREVGgBAFo3945DmBcnPJTloHYWO8bSItFwPHjIgqr1MaGRz92W9Zw47du0zt3ijAa3a/NTpwQYDKVUvBERERERERhTKpb3/cbk4KgLKeQxsQfkYoJE8zo3t0KAMjIEPHkkxGQpCI2IiIiIiIAyrh99vvExERnok+SBK/7R0EATCbg7FllwfEe92HNM87xJJqu/hQJhzc7pi9fFmBVLtMgywIuXBBw6JD3bc3OnbzVISIiIiIiKi7jsOGALMPzlU0ZAGQZhcNGBCEqKg7eDROp0GiAOXOMSEhQsn0rV2oxe7Y+yFERERERlQ+uyb1WrZxvT8mykhR0pYz75y693QCcu+56x/RNr/VF5RO73NYxGpWEocXivq0kKce5cIEVG4iIiIiIiIrLltQYuTNmA6IIWaOBfOUGTwBg7tMPUlKj4AZIRWLij8iHmjVlzJ7tHO/vjTf02LKF4/0RERERFUUQlJKejRu7l0yw2YDISPd1RdE7GQgAGx9xL/nZ+cuxMBrdE31Go/s2kgSkpoo4c4ZJPyIiIiIiopIyDb0PlzZuR+GYp2G+aSDkKzdtul07wHEWQp822AEQhbLevZXx/t591+AY72/16nxUqRLsyIiIiIhClyAABgNQo4Z7bz6bTenh16OHDevXKy9UuZYFdVWQUBdbR72HzvPGAQCqHfsHp1L3A0h2jDPvud2qVRpUqiQ7lp89K6B2bR+D0hMREYUonU7jc2ilikqrDc8XrcO13UD4tp3tDj/luu3Nm8Lyv9dgASA8OAr6pUsgZmYi+s9fYblziN9Ny3W7r0KotJuJP6IiPPusGZs3a7BxoxZnz4p48slIzJ9fqPpmOhEREVG4cn1AqfawMjoajrH5oqOd89USf1Wryrh4UcDhvg+j/uYlqHFoAwCg3sCuGA7gcu9bcXDUAgiC+02VfUzmkyeVC7XUVBG1a9uupllERETXnMUSnv93mc1sd7gJ17az3eGnIrRdHvEA9EuVsdi1n36C/FvvKHKbitDukgiFdjN1QVQErRb46CPneH8rVmjx4Ye6IEdFREREFHp89cQDgB49bGjUSILB4D5fLfHneMFKELB/4DivfVVe8zPafP+az94QnuP+2UmS97z8fO+SoURERERERORkSekBa5OmAAD9pg3QHDoY5IjIHyb+iALgOd7f668bsHUr//oQERERqfGVkKtbV0ZUlPs8UXQmDNW2P9vmBlxo2s1rX61+fhuC5P0mpee+XB075n39duyYiLNnw6yeGhERERERUXEIAoyjHnRMRnz1eRCDoaIwc0EUoN69bRg71gwAsNkEPPJIJC5dCnJQRERERCHEnrArzrhE1arJXsk615LqsqjBn5NXYtFnmcjsPdhtvcQ/vvLa3+XLxUviCQKQns7bIiIiIiIiIn+Md98LOTISABDxzSKlfAqFJN7hEhXDhAlmdOumDE5jH+9PrWQUERERUbipWlVGZKSSwdMUYzzzatW8u+ipJQ5t+kjsf2U+DvV71DGvxYwnEZ9+wGtd10Sivx6AdgUFwPr1/oPOySl6P0RERERERBWVXKkyjIPuBACIOdmIWLY0yBGRL0z8ERWDfby/qlWd4/3NmcPx/oiIiIiSkmRUrqx8btKkeG9GeSbnDAb1fdhswMEbH3ebd+vzHdF05cc+9202qx/DU1Evq27aVIxsJhERERERUQXkVu5z3mdBjIT8YeKPqJhq1VLG+7ObMoXj/RERERG5EgO4NGrVSkJcnPJZrdSn6z5q1JAd6+XWbIyDN4x2W7/zvHEQLSbHtOv+Tp4UkZ8PVmkgIiIiIiK6StZ2HWBJbgMA0O3cAe3unUGOiNQwW0FUAn362DB2rPJwyWYT8OijHO+PiIiIqLi0WiVD17ixe1ZOEGS3cp+XLwvQ6ZQefwCwbcTbONP2Jrdthj1YBY3+nud1DI1Gxvr1Gse2ngIpBUpEREREREQABAHG+x9yTEbM+zyIwZAvTPwRldBzz5nRtasy3l96uoinnorkgyMiIiKiEoiIcB/XTxTdp81mZR3X5N26J+Zj/4Cn3PbT7dPHMXxENO4dFg1doTIo39mzyi1PXl6ZhU9ERERERBQ2jIPvghQTCwCIWPodhJzsIEdEnpj4IyohrRaYO9c53t+ff3K8PyIiIqJACYJ7bztfL1DZy4HabM7EX3w8YDNEYcewqcho2Vt1u3seqYXrZw5D1bU/AQAsFkF1Pb64RUREREREVAwxMTANuQcAIBQUwPDdN0EOiDwx8Ud0FdTG+/vnH/61IiIiIipKQoKM665TH3ivShUZBoPyOTFRWUeSAEnyTt6teu4nHOs1SnU/9bYtQ8+Z92L4iGiY9hwpncCJiIiIiIjCXOEoZ7nPyHmf8Y3KEKMNdgBE5V2fPjY8/bQJM2caYLUq4/2tWpWPypWDHRkRERFR6NLrlT9q4uKArCz3G0dBUJJ/XkQRWx7+EDvvehm19q5G94/+T3WfHe5rj5PvHcRZ1EVysnO+6/1pWpqApCTZMV9Q7yRIRERUpnQ6Tdj9H6TVaoIdQlCEa7uB8G072x1+Kmzb27aGtWs3aDdvgvbgAUTu2ApbtxTH4grb7iKESruZ+CMqBRMnmrF5swZbtmhx5owy3t9XXxWG3YU6ERERUVkRBMCqDK+MbJUhJIzxNXDyP/ciM6kjbn+ureo+bnmhM7776IzPYxw5IiIpSaknmp4uoHJlGdHRVxs5ERFR8VgstqJXqoDMZrY73IRr29nu8FNR2y6MeABxmzcBALSffoLCDl3cllfUdhclFNrNmoREpcBzvL8//tDizjsj8eijEZgyRY+0NGYAiYiIiErC/iKVVguYTOrr2HvtCQKQW6sJFszPx9L3DmLjwx/BpjM41tMX5qDLZ0+4bavx8UKmzcZqNURERERERL6Ybh0EqUoVAIDh5x8hZGYGOSKyY+KPqJTUru0+3t/69Rr8+KMWs2frkZISjcWL2cGWiIiIKFCelRO0Wlm91KePbQoS6iLt+hFY9Pklt3Uar/0KsuTM6FWp4p7dy81VehQWdSwiIiIiIqKwFhEB49DhAADBbEbE4q+DHBDZMfFHVIoaNJAgCPaHRwJkWYDNJkCSgLFjI9jzj4iIiCgAgqD08LN/tv+88Ub1kimuPfNq1/bupvfT9J1u09aZn/g89tmzItLTRfb2IyIiIiIiKoJx5P2Oz5Fffc43KEMEE39EpWjhQh1E1b9VAgRBWU5ERERE6urUcWbbIiPdl9kTcU2a+L6RFAT10p05tZriRNe7HNMJn78HQBnTz5P9OLKs/LFY3Jfv2SMGdC+bmir6LE1KRERERERUEdiSGsN8fW8AgObEcej+XhPkiAhg4o+oVJ0+7fvtcFlWlhMREYWi9PR0jBkzBl26dEFKSgqef/555OTkAAAOHDiA4cOHo0OHDrjhhhvw+eefBzlaqqjq13dm1LQeVdLt11hJSf674sXGqi/f8sD7js/68+nI+nUz0tIE5OS4V2SQJCWBKEnK/NWrNbC5dDTMyBBQUFBUS4Bz5wRYrb6XX77MMQSJiIiIiKj8K7z/IcfnyHl8XhAKmIUgKkV160pe49HYybKynIiIKBQ99thjiIuLw+rVq7F06VIcOXIE06ZNg9FoxKOPPoquXbti3bp1eO+99zB37lz8+eefwQ6ZKqCYGOWn2vVUrVpFZ8nsSTs1lqh4bPq/Dx3TTR64AVWP/oNTp7wTf64/gbJJ0G3dqmEVHCIiIiIiKvfMNw6ArUZNAID+j+UQM84GOSJi4o+oFA0bZrnyYMj76ZAsC4iP52vdREQUenJyctCqVSuMHz8e0dHRqFmzJgYPHoxt27bhr7/+gsViwejRoxEVFYWWLVtiyJAh+Oabb4IdNoWBKlWc10516xZ9HWVTHwIQ9eop2x7vfi+semcN0QGv9kLM+TS3dV1LfRbl8GH/t1Ps0UdERERERBWeTgfjfSMBAILNhogF84IcEDHxR1SKkpJkzJhhhCgCGo0MUZQhCM4nPlOnGrB6tcrAM0REREEUFxeHqVOnIiEhwTEvIyMD1atXx759+9CsWTNoXAZOa9GiBfbu3RuMUKkC69FDPWvnqwefGvWxlp37kLR67L/5abdlg55NdsvQ2T9Kku8koH1/x48XIzgiIiIiIqIKyjjifshXbsgiFsyD33EPqMwx8UdUyoYOtWLjxnyMGWPG7bdb8cQTZgwZYgYAWK0CHnooEqmp/KtHREShKzU1FQsWLMDo0aORlZWFuLg4t+WVKlVCVlYWJNYppFIUHe09r7g95ho2lBAR4T3fNXm4587J2PvwW+7bbVzs+GxWLtuuutRncRKWRERERERE5ZmUWAfmG24CAGgyzkL7x+9Bjii8aYMdAFFFlJQkY9Iks2PaZgPy8wUsX65Dfr6Ae++NxG+/FQRUsoqIiOha2r59O0aPHo3x48cjJSUFv/32m+p6go+shk6nKdOEh1bLnvOlLdTOqVargV6vfNbpROh0MrRa0THPvo6aFi2Un7t3uy/X6SRotc4Xr/b3ewKRR/ej0ZovAADdP/o/aEQBJ/5zH7KzgcqVJZjNgE4nQKvVQKtVjqnTOePT691jBYDUVAHt2olXYhSh08FtuVo7NaF1+kNSqH1HKwKe09LF80lEREQEGEc9CMPvywEA+s8/QUH/AUGOKHwx8Ud0DWg0wJw5Rtx1l4h//tHgwgURQ4dG4pdfClC5crCjIyIiUqxevRoTJkzA5MmTMWjQIABAlSpVcOLECbf1srKyUKlSJYgqdRUtFh+DrJUis7nsjxFuQumcWq3OeCwWGVarjFatbDCbZbd1XPXoYcP69RrHdp7LrVZlP642PfABGqxfCI3FBADo+uFDsNkkHO8xDBaLDIsFMJslRzxWK7BqFWC12nDihIwmTSS3WAHgxAkNkpNtMJttsNmUvw9mM1RZrYDJZIOWd2QBCaXvaEXBc1q6eD6JiIgo3Jl794OtXn1oTp2EbtVKiCeOQ2rQMNhhhSXWGyS6RiIjgfnzC9CokVI36sgRDUaOjITRGOTAiIiIAOzYsQMTJ07EzJkzHUk/AGjVqhUOHToEq0smJTU1FW3atAlClBSuatRwT9rFxzs/t20rqZYJdRURoVJlQRCwfdibbrO6z30YkZczALiX+rR/Nik5wmKN7WexBLwqERERERFR+SWKKBz5gGMycv6XwYslzPH9UqJrqEoVYPHiAgwYEIXMTBFbtmgxZkwEPvnECJVOE0RERNeE1WrFpEmT8Oyzz6JHjx5uy3r27ImYmBjMmTMH//d//4fDhw9jyZIleOutt3zsjaj0yLIAwDtpJwhAzZoyzp0TvJKCnqpWlWEwqC873PdhCDYrOi2Y4Jh351ONsf/1RTjV/lbHsexj/NkTgLIc2Lh/sgysXq3BjTeyJxAREQWurEunh6JwLZkbru0GwrftbHf4Cbe2S6NGQZ72OgSLBRGL5sMyaTJ83pBVQKHy+2bij+gaq19fxsKFhRg0KAoFBQJ+/lmHl1+W8dprpmCHRkREYWrXrl04duwYpkyZgilTprgt+/333/HRRx/h5Zdfxscff4yEhASMGzcOvXr1Ck6wFFaqVJERGameYateXUn82fXv755ci40FcnOBjh0lpKf7eHoqCDh04+P4t2k33PySM+nd4sV7sfPLbDRqpGxnU8nb+Uv8yTICemDruo/cXEAUUWTvRSIiqviuRen0UBSuJXPDtd1A+Lad7Q4/YdX2+KrQ33IbIn74HmJmJoQffoDpjiHBjuqaCoXfNxN/REHQtq2ETz8txIgRkbDZBMydq0diooTHHmMtKCIiuvY6duyIQ4cO+V1n0aJF1ygaIqcmTSTV+WqJNbXqCR07Ktubini/6lKDtsit1gCx/55wzOv85VhkxL0CWU7Apk1Fv7XpOq7ghQsCLBYgM1M9+1dY6D2voECAVgtERwfQlZCIiIiIiChEGUc9hIgfvgcARMz7POwSf6GAxQWJgqRfPxveftv5FOqllyKwbBlz8URERERFsVgAnc7/OoKglPkMiCDg5+k7YYmIccxq8tcXuP6O+oi6lK66ib23Xk6O8nPVKmdy0F4S9PBh9dstX4lIWQYyMoQiE5VEREREREShytKtO2zNmgMA9Js2QHPoYJAjCj9M/BEF0X33WfDss84nO2PGRAT0RjkRERFRRVWrVtHJupYtbYiPD7xnnL+ynPaegpJWj28+OY/9A55yW97108f97lPt2i2Q8f98OXxYREFBybcnIiIiIiIKKkGA+YGHHJMR8z4LYjDhqUIk/tLT0zFmzBh06dIFKSkpeP7555Fz5dXbAwcOYPjw4ejQoQNuuOEGfP7550GOlsjdhAlm3HuvUuLTbBYwcmQkDh2qEH81iYiIiIqtdWv18p6uqlQBtEUUSqhRw7kfjZ/3qlyTdPXqydh196s419tZiqZ26krcNqENRLPRbTup6DB9OnJE9Dq2LF9dwpCIiIiIiChUmIfeCzkyEgAQ8e1iID8/yBGFlwqRXXjssccQFxeH1atXY+nSpThy5AimTZsGo9GIRx99FF27dsW6devw3nvvYe7cufjzzz+DHTKRgyAAb79tRO/eysAw2dkC7r03EufOqY8JQ0RERERFS0pyZtEaNJBxww3+B1hPTJQhCErPv70vfIETXe9yLIs7dxTtvnvZbX2bn90VlcC7dMn7Oo9JPyIiIiIiqjAqVYZx0J0AADEnGxHLlgY5oPBS7hN/OTk5aNWqFcaPH4/o6GjUrFkTgwcPxrZt2/DXX3/BYrFg9OjRiIqKQsuWLTFkyBB88803wQ6byI1OB3z2WSGSk5UnSGfOiLj33kjk5gY5MCIiIqIKQvDItcXFuU+79iCUZWDjIx+7Lb/u91lu3fyuJvEXyHZWa8n2QUREREREFAqM97uU+/zy0yBGEn7KfeIvLi4OU6dORUJCgmNeRkYGqlevjn379qFZs2bQuNT2adGiBfbu3RuMUIn8iokBFi4sRN26ygOlffs0ePDBSFgsQQ6MiIiIqALq2FHJ3MkyULmyd6ZO0hnw3Ycn3eYNHxWLm17uibbfvATh/HnHfNcy7f/8I6om7Y4f99/Lz17qU5aB/HwBa9dy3GciIiIiIiq/rG3bw9K6LQBAt2sntLt2BDegMFLEyBjlT2pqKhYsWIA5c+bgt99+Q5zHq7yVKlVCVlYWJEmCKHrnPXU6jdfbwBWdVhu+DxVCre116wLff2/CDTdEICtLwN9/a/Hss5H48ENzqX4vQ63d10q4thsI37az3eEnnNtORCWXnCxh+3YNEhLcE4Cm2AT8/dRC9Hx/mGNeQto2JKRtA355B+cemo2jve7HiRPOC7XMTAGxsd7HOHxYRMOG/suNumLpTyIiIiIiKtcEAcZRD0I3/ikAQMRXXyCvbfsgBxUeKlTib/v27Rg9ejTGjx+PlJQU/Pbbb6rrCX4yKBZL4DfjFYnZHJ7tBkKv7Q0aAF99VYghQyJhMglYtEiLWrVseP55c6keJ9Tafa2Ea7uB8G072x1+wrntRBQ4z1uC/HzAXkTk/HnnwtMdb/O5j66fjUHdf5ZhzbNL3XboUhEUgO8kXlaWgPx8ZTxCf4k+i0UpDU9ERERERFSeGAffhehXJkHMzUHE0u+Q/8oUyHHxwQ6rwiv3pT7tVq9ejUceeQQvvPACRo4cCQCoUqUKLl++7LZeVlYWKlWqpNrbjyhUdO1qw4cfGiEIyhOgd9814Kuv+LSHiIiIqLQUVU2hWjXZseKizzJxstMg1fUS9/yJXu/e5Tbv2DH3e42VK9V7I+fnAxcvKoH4S/ytXl10b+YDB3h/Q0REREREISYmBqYh9wAAhIICGL5bHOSAwkOFuDvcsWMHJk6ciJkzZ2LQoEGO+a1atcKhQ4dgdRlkIzU1FW3atAlClETFc+utVrz2mskx/dxzBvz5J0vYEREREV0LrolBmz4S6576Ggvm52PB/Hz89upat3Xr7PodNfb/7XNfrj0AzR5FHFyPIztzjcUu9XnqVJiNV0BEREREROVC4aiHHJ8j533OcQ2ugXKf+LNarZg0aRKeffZZ9OjRw21Zz549ERMTgzlz5qCwsBC7d+/GkiVLcO+99wYpWqLieeQRC0aPVp4OSZKARx6JxM6d5f6vLREREVHQuSbcBAGoXz/wm8+LSR28kn9tv3sFkGVHxQZf1qxxvsjlmhCUZaWkp8mkslGAeP9MREREREShxnZdC1i6dAMAaA8egG7LpiBHVPGV+wzCrl27cOzYMUyZMgXJycluf/7991989NFH2LhxIzp37oyxY8di3Lhx6NWrV7DDJgrYyy+bcPvtFgBAQYGA++6LxPHjfKObiIiIKDGx7DJdRZUCvZjUAYs/Oe+YrnZ0K6od2ex3O8+kniwLbuvn5rpv7DlWIBERERERUXlUOOpBx+eILz8LYiThQRvsAK5Wx44dcejQIb/rLFq06BpFQ1T6RBH44AMjLlwQsGmTFpmZIoYOjcKvvxYgIYGvdRMREVH4atWq5JkxUQR69bLhr7+KV0o9KgooKFA+WyNisOWB99Hli6cAADe+1g9Lv74MM/Sq2545457Yk2VnglGWAfsIBYIA2GzA339r0Lu3LeDYXPen5sQJAQ0a8PqRiIiIiIiuLdMtt0OaNBHipUsw/LIMeZnTICckBDusCqvc9/gjCgcREcC8eYVo2lR58HP8uIghQyLx8st6PPpoBKZM0SMtjb0AiYiIiIrDYHB+FgTfPezi4pyfK1d2T5yd7DTIbbr/hM4BH98z8ZeR4X495zJUeak4dIi3f0REREREFAQRETDeOwIAIJjNiFi0IMgBVWzlvscfUbioVAlYvLgQAwZE4fx5Efv2abB/vwhBUB4YzZqlx4wZRgwdWspPiIiIiIjCwKlT7mU3XcfL89eLzhxbFafbD0TdHb8CAGLPHkHizt+Q3m6A17qeY/AV1UOPiIjCk06nCbv/H7Ta4vXAryjCtd1A+Lad7Q4/4dp2tXbbHnoImD0TABA5/wvYxo1TSrFUIKHy+2bij6gcqVNHxvTpRowaFQlAgCwLLg+QZIwdG4HOnfORlMQSTkRERESB8tfbDwBEUQbg+wnspoc/Qt3RdR3TPWfcg0WfXYSs1bmtJ8veY/i59vgrjuPHBdSuLbv1WiQioorBYgm8zHNFYjaz3eEmXNvOdoefcG27V7vrNIChZ2/o/14DzYnjkFeshKV33+AEV4ZC4fddsdKpRGFg+3aNjxchlLfUFy7UqS0kIiIiohIqqteFOaYKvpt9wjEtSjYMfaQGbnm+IxIOb4ZgtaDTl2ORMH+WW4bPV48/+zx/ycgTJ0QYje7zPEuF+uJvv0RERERERGWlcNRDjs+R8z4PYiQVG3v8EZUzp0/7ztfLsv/lREREROGgRo3idZ+TZaBVKwknT4rIzfVeHkj1GVNcNey99Vm0+vltAIDGYkKl9AO46TWXN1hXAfLR4/hn1LuO4xanx59notAzabh3r4jExKLfLl2xQoP69WU0b84MIBERERERXTvmGwfAVrMWNOcyoP9jOcSMs5Bq1Q52WBUOMwRE5UzdupLPt85lGahThw9wiIiIKLy1bVv86yGtxyuRnmP8NWlS9D73DRxX5DrNVs5Fl8/GoOmKjxB9eLfq8cxm7zhkGVi5UqO6fkmYTFe3PRERERERUbHpdDDeNxIAINhsiFgwL8gBVUxM/BGVM8OGWa486PF+2iPLAo4eFWG1XvOwiIiIiMqF2rUDy5iVZIx5S3Ql7Bv0XJHrNfnrS3T+ajw6P9YdERdOey0/eNB5cNcEn2eJzqJKkAJAYSFgU+kEGMi2REREREREpc04fBTkKzdcEQvmgQ+zSx8Tf0TlTFKSjBkzjBBFQKORIYrKH3si8LffdHj44Qi+xU1ERESkokULSbUUqGsiTKMBEhNlaDTqy+3UkoOp9/wPewY9DwCw6iJwuW5L7Bz7MVY/u1Q1ntq/fOY3XtcefyWxdq0GaWnegTLxR0REREREwSAl1oH5hgEAAE3GWej//D3IEVU8HOOPqBwaOtSKzp3zsXChDqdPi6hbV0Lt2jImTzbAYhHw6686jBwp4IsvChEVFexoiYiIiEKHIHiXAvVMqqWk2FBYKECrBZo2lZCZKagmymrVkpGe7r1gz52TsefOyY7pSpWArCzgx3f2YtD4Vm7rNvj6beS2SQSu/7+SNqlYzp9nxo+IiIiIiIKr8P4HYfj9VwBA5LzPYL75liBHVLGwxx9ROZWUJGPSJDPmzjVi0iQzHnzQgvnzCxEZqTy5WrNGi6FDI5GTE+RAiYiIiMoZ+4tTGg1Qr57vrnauY/EFIq96Qyz+5DwO9XvUbX7sc+OgzTyvuk1xe/r5iik/3/0ne/wREREREVGwWHr1ha1eAwCAfs0qiCeOBzegCoaJP6IKpE8fG775phCxscoTos2btbjzzihcuhTkwIiIiIhChK+ElyD4TrJpNIBWpVaKv3EAXZcJgnPH1ogY/DPqXWwd+Y7b+g3eGqe6n+Im/nyVe7cnBEtaMpSIiIiIiKjUiCIKRz7gmIy/bwiip7wCTdrRIAZVcTDxR1TBdO1qw9KlBahSRSlhtXu3BoMGRbGsExEREZGKypVltyRdixaS1zrJyUpZdTv7GIGBJtHUko2H+z2KI73ud0zH7doAwWoBJPUypK4/Dx4UYbGoH8u+Xk4OcOSIs2E2m3sQ7PFHRERERETBJEdEwH5LpTlyGJGzZ6JySkcYFn8d1LgqAib+iCqgNm0k/PhjIWrUUB4cHTyowa23RuHUKT7hISIiovDmmfDq3FmCweCcrltXvrKe7EiiiaL7djExV5/4gyBgy0OzkV8lEQCgy76E+x6ohOGjYlF/8xLHamvWaNyOtWqVBmfPFn1Nt2mTBv/+q6yXlibAZoPbfuz5RbMZyM4OrB1ERERERESlQZN2FDEv/Rf2OxsBgGCzAZKE2LFjIKYdC2Z45R4Tf0QVVPPmEn76qQD16ilPdU6cEHHbbVE4epTJPyIiIiI1rok8UfTqfKe6vl4P6HT+9+Wrd11cHLD1/ple8/8zexSGj4hG5KWzjnlWq/LTnsADgMxMwavnnyyrJyQ959n3d/GigIMHNeoBEhERERERlYGIhQtUb5QEABAERC6cf81jqkiY+COqwBo2lPHTTwVo3Fh5QnT2rJL8S01l8o+IiIjCT3HKW3om/tS2lSRlvtoy10RbXJzveM4m9/MZw51PN0G7RS9CsFmxaZN3cu7wYRHZ2e4Hd038qScAhSsx+e+umJOjJAWJiIiIiIhKm3j6pO8SKrKsLKcSY+KPqIKrXVvGsmWFaNlSSf5lZoq45ZYIbNvGv/5EREQUXvr3t/lc5pm8E4SiS3nKsncZUFH03kgQfO9I1urwzUfpuNyxt+rylstn4Lrf3ofZrL799u2+r+n8xe9a3lSNxSI4egUSERERERGVJqlufd9vZgqCspxKjE/+icJAtWoyfvihAB07Kg+7srMF3HVXFNatY1knIiIiCh9X0+PPU//+Nsiy4NXjT6NyeWXvZecrHkt0Jex992csmJ+PRZ9leq3X/pvJGD4iGok7f1Pdj2ucvnr82Y/lrzegd9xFr0NERERERFRcxmHDAVmG5y2HDACyjMJhI4IQVcXBxB9RmKhUCfj22wL85z/Kq9sFBQKGDYvEn38y+UdEREQEuCe6IiKA1q3dM3/XX6+8RCUISmJQrcefWuIvECdPKjux6SOxYH4+1oz7zmud3u/ehZgLx73mu/YGPHBA4zYOYKCOH/ddMtRTTg6QmspbSSIiIiIiKhlbUmPkzpgNiCJkj5uo3BmzISU1ClJkFQPv1ojCSEwM8PXXhbjpJiX5ZzIJuP/+SPz4ozbIkRERERGFFo0GqFHDPfMVGem+jix7j/Enetxh+etl6K9HXXr7m7Hz7le95rf4dYbXdmlpzoPm5gK7dok+9+/Z40+WgawsZbxAX+VEPZnNgtfYgp6OHeP4gERERERE5Jtp6H24tHE7Ch9/CrJeDwCQY2NhuvveIEdW/jHxRxRmIiKA+fPNGDzYAgCwWgU8+mgEvv5aF+TIiIiIiEJftWoyKldWsmb2xJ/W5R2qQHv8FTXGHgDsu2U89gz6r9u8GgfWeiX0jEb36cuXBUd8vkgSkJHhnpw7edJ5e+ivx18gjh7lrSYREREREfknJTVC/uRXYe57AwBAzM2F5vChIEdV/vFujCgM6XTAhx8aMXy48lq3LAsYNy4Cc+cy+UdERETkT40aMqpUUT5LkpL4i46WUa2akiXTaoFatdwzZmoJtDp1JMiy97puBAF77pyEBfPzcal+GwBAfMZhxJ054Laar7EIXROCnr0ALRYBe/a43w66lgi1J/7S0squ557VChQWltnuiYiIiIionLB0TXF81m3eGMRIKgYm/ojClEYDvPOOCY895qzpNHlyBN55R39Vb3cTERERhYuEBBmRkTJEEahTR4bBoFxjXXedMxNnv66qW9f9AksUfSfs1Bzvdrfj88DnOqL6kU1exygOk0l5Gcx1rD7PsQFlGThypOxuGc+dE7BvH29JiYiIiIjCnaVLV8dn3ZZNftakQPAuiyiMCQLw6qsmTJhgcsybNs2AV181MPlHREREYcXfWHy+NG8uITpauWiqXl1G1642NG0aWDavqMSfZ6LwRMo9btM3/K8f7hsZA8FmdVy3VTm+EwP/2wkNNn5T5PElyXs8Qs8ef1fr8mVg507echIRERERkX/W5DaQo6IAALqtm4McTfmnLXoVIqrIBAGYMMGMmBgZL78cAQD48EM98vKA6dNNXg+EiIiIiCqqkiS7XBOGERGAXg8UFHjv1zOxKAjKevHxgR2nsHIt7LrzJbT9/n/Ofcgy2n37EtJGv4GY82m4+aUeAIAecx5EZqNOyKuR5LUfexvtZUrVlqlNb96sQdeuHl0Ci2CxCCgsLLtSoUREFZVOpynRCynlmVYb4CC5FUy4thsI37az3eEnXNte7HbrNbB17ATt2r+hOX0KhgsZkOvUKZvgylCo/L6Z+CMiAMDo0RZERwMTJhggywK++kqPc+cENG0qIT1dRN26EoYNsyApiV0BiYiIqOKJi5PRsmUxam9eJc+ymoHYO2giqh3ZjMQ9fzrmtVg+Ey2Wz/Rad9Czyfj+g6MorFRLdV+y7N3jT20dQCn3mZ3tvqy4D6RNJiA9XeC1JBFRACyWEvwnUQGYzWx3uAnXtrPd4Sdc217cdms7dYV27d/KxPr1MN8xpAyiKnuh8PtmXx4ichg50oI5c4zQaJQHMn/+qcPs2XosW6bF7Nl6pKREY/Fivi9ARFQRrVu3DikpKRg3bpzb/KVLl6J58+ZITk52+7Nnz54gRUpUNnQ6oGrV0klKeSbFEhMl1K2rJBVFEWjQQPYq5RmoNRN+wE/TdgS07p1PNkbM+TS3eY4efzYZOmOu6jIAOHBAdEzn5JQoVOzcKcJ8ZThpoxE4eZK3n0REREREpM7SpZvjM8f5uzp8gk9Ebu64w4qcHCOeey4CgABZFlweAskYOzYCnTvn821tIqIK5JNPPsGSJUtQv3591eWdOnXC/Pnzr3FUROVHUSVCY2Lcp5s1u7qehTm1m2H5uztx8zPtilx30LPJAIDLdVsi9fbnkR19G+5+tB70BUoXvhNd7sT6J75yrG8vS2oyAceOKYm63Fwlk2mzARqNsk5eHpCVBVSqpHyOiQFWr9agVy+bW6lTq7Vkbfz7bw169gz+m7JERERERHRtWDt2gqzRQLDZoNvMxN/V4CuXROTlzBnRR+knAYIALFyou9YhERFRGTIYDH4Tf0RUPIGWwezeveSJrbzEpljybR52DXnZbf6P7+zF308t9Fq/8ul9uH7WCNx6R7wj6QcADbZ8j+EjopG4YzlkGfjzT+eYFBaL8tNkcp+227NHWXfDBo1jeU4O8M8/zn34Oxf+EqZGo+9lRERERERU8cgxsbC2ag0A0BzcDyHrcpAjKr+Y+CMiL6dP+/6nQZKAU6f4TwcRUUUycuRIxMbG+lyekZGBBx54AJ06dULfvn2xbNmyaxgdUcWicRnr3bUnYM2axa+mIEPAvtufw/LPjuG3V9diwbxc5FVviNOdbsfOIa8Ua1+93xuCG26MgcZU4HMd+7iE6elKNq+wUH09tWSfvSchAOTm+l/3xIliDiBIDiXtYUlEREREFAosXboCAARZhm7b1iBHU36x1CcRealbV/L5drYsC9i3T0RODhAXd23jIiKia69KlSpo0KABnnnmGTRu3BgrVqzAc889h+rVq6Nbt25e6+t0moB7O5WEVqspeiUqFp7Tq1OvnpJs0euV86jVamAwKD8bNJAQE+O+rH9/GzQu2T+tVkBUlIDISBlaregyX3Kb9mQwyJBlJaFmja2NgqhEt5u7Q3c8j7Nd78DA8a2L1Z5uXzyJi90/Vz22KAJ6PXDxogbaKwfT65V26XTKT60W0OtF2GzClXbI0OuV9XQ6EXo9sHWrBv362aDTCdDpBOj17v9oHDtm34/9XPA7GqhVqzQYMKDonqQ8p6WL55OIiIiodFi6pAAfzwEA6DZvgrnfjUGOqHxi4o+IvAwbZsGsWXoAMgDvp7dHjmjQt280Pv64EO3aXd0YNUREFNp69eqFXr16OaYHDhyIFStWYOnSpaqJP4ul7MfkMps57ldp4zktOZ1O+WM2O+dZLDZYrUCjRsp5tS+zWgGbzeboOafME5GYKMNkEmC1yi77kJGcbMPOnerJP1FUymFarUp5TTWXqzfCgvn5junuHz6Ahpu+BQCc6HIX9k/8GD1Gd0Lc+WOOdRpsWIz1pz+A1Rrltb+1a4Ebb7S59Sozm5XpzEzl54YNgMEgea1jNiulQE0mZb3ffwdatLDBYhFgNrtfT9q3df1elvZ39NAhEdWrS6hcuVR3G3RWa+Dnin/vSxfPJxEREdHVs3Tu6vis28Jx/kqK9fqIyEtSkowZM4wQRUCjkSGKMjQaGYIgIyJCeSB18qSIW26Jwpw5OkjM/RERhZXExERcuHAh2GEQhbRmzQK7QLKPc9e0qff61av7Lv9Zv77kVj6zatWiS4VuGP05dgydgv0DnsSmh+cgNkGPn97egz8mrXBbL2H10oBid7V5s7PHk31MQFeyrMxfvz40ekZlZQkwGr1fcCsoAK9tiYiIiIiCRK5RA9aGSQAA7c7tHPy7hJj4IyJVQ4dasXFjPsaMMeP2260YM8aMTZvysX59Pjp0UN5mtVgEvPxyBIYPj0RmJsdiISKqiBYtWoTly5e7zTt27Bjq1q0bpIiIyocGDYo3Zp/r2H/16xe9bXS07EgaAnCU3vRLELB/4DjsGPYmbAZnj75/m6Vg592vOqabv/koGq/5QnUXGRnOaz5RLH6SzLVnZHG3uxYJuXPnhBLHSEREREREV8/SNQUAIJjN0O7aGeRoyicm/ojIp6QkGZMmmTF3rhGTJpmRlCSjXj0ZP/1UgCefdL7KvXKlFn36RGHDhtB4g5uIiEqP2WzGa6+9htTUVFgsFvzyyy9Yu3Ythg4dGuzQiCoMe6+92FjlpyYIl1QHbnoShfHVHdNdP38CMS4lQO327HHeQlauLCM/32uVgMkq+U3XxKLncc+e5YtmREREREQVnbWLc1gR3VaW+ywJJv6IqNh0OmDyZDO++aYACQnKq9fnzom4445ITJumdxu3hoiIQl9ycjKSk5OxbNky/P77745pABg5ciRGjBiBp59+Gu3bt8fs2bMxe/ZstGrVKshRE1U8KSnFv4gSfdzRValSdK9B1x50ks6ADaM/d1veftGLqtvZeyTKMvDvvyVPxl286L3toUPBvUVVS0YSEREREdG1Y+nCcf6uViAFYYiIVPXubcOaNQV4/PEIrFunhSwLeOcdAzZu1GDOHCNq1+aTEyKi8iA1NdXnMkEQ8Pjjj+Pxxx+/hhERUaCqVZNx9qzglbCqWlXGpUv+k3Ke25xr2RurXlmBvq/0BwDU2/4z6v6zDKc73e62nuCy2yNH/Cfq7Mdw/anVAlarsh/PcvHFLedZWAgYDM4E6IULAv79V0DLls4dZWQIqFXL93WpxYIrY1sz8UdEREREFGy2pMaQEqpBzPwXuq1blJsEX288kiqeLSK6KjVqyPj220K88IIJGo3ypGTTJqX0559/svQnERERUWlo0sSZyOrf3wZZVhJnycmBZ8oaN3ZfVy3Jldk8BRcbtnNM93x/GFr+/HaR23lyHXNQloH0dOXW02ZTkn4AcP68e9Lv0iUlCeeqsBDIyfF9nH/+0SAryzltMgFnzrjv17U8qZp9+0ScPi1cidU7iUpERERERNeQIMBypdynmJ0FzcEDQQ6o/GHij4iumkYDjB1rxo8/FiIxUXmgdOmSiOHDozB5sgFmc5ADJCIiIirnXF9wVXvZNZBkVfXq7iv52mbbfdPdptt9+zIar/5cfWUfIiOdx/jzT01A4/MJKqucPy/g2DHRkehU20aWnQvUyocWh/2cFBQA//zD22UiIiIiomBguc+rwzsZIio1XbrYsHp1PgYMcL6qPXeuHgMHRiEt7eoewhARERGFM7Wkl13DhnJAiT/PddSScQYD8G+zFCx976Db/K5fPInhI6IRfeGE46Uum63o67vilO70bOPx48W/fvTsRVhc9nNkswG5ubx+JSIiIiIKBnuPPwDQbdkYxEjKJyb+iKhUVa4MfPmlEVOnGqHXK09Odu/WoF+/aCxdymFFiYiIiFwFWlbSX+Kvfn0JjRoVb3A8nc5/PAUJdfHz1H+8lg8e3xKGk0dw045p6PFsTyQc3uy2PCL7PIaMrou+j7dB/c1LAo5n40YNTCb3Rh49qtyuCkLZ1970HIvwauzbp8QtSRwzkIiIiIioJKzJbSBHRQMAdFs2F7E2eWLij4hKnSAADz1kwW+/FSApSXkIlZcn4LHHIjF2rAH5+UEOkIiIiCjEeSaMPBN/rqUvDQZnac2i9hkfr3zu3dtW5HGz67TAH5P+9Fqnx0PtkPDe/1D58Da0XfIqdIU50BrzAFnGf2aNgiHvEmLOHsV/Zo/CLc93RN1/lnntIy7OvWSp2vWha+LMs9Tnhg3OsaT9Jdd89Tj0tY0sex+ruM6cEZCXB6xapcGpU1ffa7Cw8Kp3QURERERUvmi1sHToBADQpJ+BeOZ0kAMqX5j4I6Iyk5wsYeXKfAwZ4iz9uXChHjfeGIX9+/nPDxEREVGgipuI8lxfr1d+tmljK9b+/m3WHcum7/K5vOaBtbjnkVoY+nANDB8ZgxoH17ktr5R+AD3fH4bhI6KRuOt3x/zi9ITLyXEP1mYD8vKUz0W1Y8UKjde8s2cFZGcrn9et07jtwzWuq+mtl5MjQJKKV+rUl7VrvdsQDBkZAnswEhEREdE1w3H+So5P3omoTMXEALNnG/HBB4WIilKeFBw+rMFNN0Vh3jwdjh0TMGWKHo8+GoEpU/QcC5CIiIjCStOmEhIT/WdTEhNlt95xgFKqMyHBuV1RCRlBUNYpqmeg2n5yazXBgq/y8G/jLv43LkLvd+5E0roFjuMEmmTLzxcgy85rRKv1qsKA0ej8XFDgvoyJLd/27BFhU+8oSkRERERU6ixdUxyfdZuZ+CsOJv6I6Jq45x4rVq7MR8uWytMCo1HAhAkR6NYtGrNn67FsmRazZ+uRkhKNxYs5FiARERGFh6goZ288u0qVZFSt6sxAtWolOV6gsouOVubbGQxASooNdesGnrlq2dK7O5rPxJcg4I+XV+NIr/sD2veBYS+pzk/5+FH0mX67V084f6U37VJTRezcKaKwEF6J0KthNDqTiiVN/FksRa9DRERERESBs7TvCFmjVL/QbWXirzgqTOJv3bp1SElJwbhx49zmL126FM2bN0dycrLbnz179gQpUqLw1bixjN9+K8CDD5pd5gqw2QRIkv0nMHZsBHv+ERERUdiqVk1GrVruGahKlfxvIwhAbCy8emTpdM7lgSS1ilpnywMfYOuMVfj3eAYWf3wOR3rdjxNd7oSkcb64tfaJr3D47on4+stsLPgqD5sfmu22j9qpK3HHndG4b3g07nq8PoTz54sO7IoLFwRYrYKjPKe/dp0/H9j1ZFaWso+cHCA9vWTlLFev1mDjxtAoyUlEREREVCHExMCa3BoAoD2wH0LW5SAHVH5UiG41n3zyCZYsWYL69eurLu/UqRPmz59/jaMiIjUREcCbb5pw7pyA5cu1ADwfyAgQBBkLF+owaZJZbRdEREREYaN/f/dMXosWgQ0aZ0+MGQy+e6OpjY9XZNJLFJHdogsQLcEaqcEWl6RebMYRaE35uNygLWIByFeSgUd73Y/CSjXR+507vXYXkZsJ3c39gNf3qR7OZiv5y2AXLxZvW7P56l48y8/3v/zYMQG1asmIigp8n4cOVZh3dYmIiIiIis3SJQW6XTsBALqtm2G+YUCQIyofKsRdhMFg8Jv4I6LQYzD4LtEkScDp0xXinyciIiKiq+J5vVScUp6u1HrG2fddrVrgYwUCvnvS5dZqgssN2jqO5yq97U1YN32N6naa0ycxfGQMotf+6bXMVxUI1/17lg1Vm+/6+ciRsrvO9Hf+0tNFt/EFA3HiBKtgEBEREVH4snTp5vis27I5iJGULxXiyfrIkSMRGxvrc3lGRgYeeOABdOrUCX379sWyZcuuYXREpKZuXUn1LXMAkGUBu3Zp+KCDiIiIyIVn+c9AdewooWlTCdHR6vtr3z6wXoTVqwd+fLUE2OVmnfH1vBzsvnOy6jYNnrgLNfeuRuWTuyGa3TNkvhJqggDs2iWq9u5zTfZt335tbn3tcarFqyRf3eO0Wss+ptOnBa9k7e7dAi6zUhIRERERhThL566Oz7otHOcvUBUi8edPlSpV0KBBA0yYMAEbNmzAM888gxdeeAGbNvFLQhRMw4ZZrjwQUX+Kc/y4iOuvj8bbb+uL/WY0ERERUUXUunXRCTrPhFPz5hKqVpVRs6YMg8F7/a5d3UuJum7v2buwOGPf+VpXFjVIHfQ8vlmcj0VfXsbZ5L6OZYIso9+0WzFwUgqGPVQVdf/x/cKm5wtkar3+XOddulR2L5Tl5Tk/F3d8wFWrvMcFPHas+LGePy/AZFJflp0tIDfXfV5ennDVpU2JiIiIiMqaXL06rI0aAwC0u3aAD4oDUyHG+POnV69e6NWrl2N64MCBWLFiBZYuXYpu3bp5ra/TaXz2QqqotNrwHYQ+XNseCu1u3hz44AMznnxSD0GQIcvKAxxJAuLiZGRnizAaBUyfbsCSJTpMn25Gv36BvY3uSyi0O1jCte1sd/gJ57YTUejTBuHuq2pV70yUawIxPl75KYrKdZgkAXq9UpY9IkKG93jMQI0avrNbCQkyateWcfJk0e+Y2jR6rH7uJ/RpeAy1e7T2Wt7z/WFY8sExWBMS3ebbk2u+SnwCwOXL/pf7E2jyzmIBLl8WkJ3tPEdq227YoEH37jbVcqt227eLSE6WoNMBR4+KaNTIpr6iD0ePimja9OqulQNR3MQmEREREdHVsnTpBu2xoxDMZuh27YCla0qwQwp5FT7xpyYxMRF79+5VXWaxFO8Gq6Iwm8Oz3UD4tj0U2j1kiA0dOliwcKEOp0+LqFtXwrBhFlSvLmP6dAM++UQHm01AWpqIu+6KwC23WPDaayYkJpb8iUMotDtYwrXtbHf4Cee2E1Fo69Pn2v375O9lRrWSofb1ZRno3duGXbu8E3f2pI+/fQuCsv9Tp/zHJ8tKItRqBax1G2D3nZPR5vvXvNbr9d492DvkJVTOO4UDbe6CNSIGly8rAaxYoYF9xAdJci+buXWrBlWqlG2WKj8f2L9fLPLa1LVHoC+ZmQJsNv/nloiIiIgoHFm6dEPkwvkAAO2WTUz8BaDCJ/4WLVqE+Ph43HzzzY55x44dQ926dYMYFRHZJSXJmDTJ7DX/f/8zYehQC55/3oDNm5V/qn75RYfVq7UYP96MRx81Q6+/1tESERERldy1SOrIMlC5slzipJe/5J69B11Rib9Aj6O50kn7yBERGbc9h9jOTZF2MR5VT+xEu29fBgAkpG1Dr2m3AQDa4AkAwP6bn8aZkW+47W/XLtGxP2e8ZXfCs7KA3FzB0RY7fz3i/PX4s7sWY/6VhowMocRjTpI6kwmq5XiJiIiIwp21i8s4f5s3ovDp8UGMpnyo8GP8mc1mvPbaa0hNTYXFYsEvv/yCtWvXYujQocEOjYiK0KKFhGXLCvHBB4VISFCeNBUUCHjtNQP69InC+vUs6UdERETkqVo1GbGxcPSGKwm1BJ7NVnqJNFlWyosCSm83iCIu9x2Ec8l9se/WZ7Hxkbk+t22xfCb6vtQHosXkFqfNo0NlUT0UU1Pdb4ctFuVnTo6ArCwBVitw6pT6xmfOiLhwQSiV0peFhc7PkuQ8L8V1Lctw7tnjfe5On3aeqwsXBOzbV+EfN5Sqv/7ivQ0RERGRGlvDRpCqVQcA6P7Z6n3hT14qxJV4cnIykpOTsWzZMvz++++OaQAYOXIkRowYgaeffhrt27fH7NmzMXv2bLRq1SrIURNRIAQBuOceKzZtyseDD5ohisoTjcOHNbjjjig89lgEzp9nTSQiIiKqGCIjr257+7jJAJCSUvIbYkHwjsXeG81XIi062r1kKAA0biz5TGTZ59sTbq6Jq7Qe9+F8s+4+40s4vAU3TLnBTwuK7qHomSizJ7POnXMmrc6cEZXEpA+yrN7jTy0J56vH38GD5ee23Fdy0WQCDh1ytsNiAQoKrlFQRERERFSxCQIsXboBAMScbGgOHghyQKGvQpT6TE1N9blMEAQ8/vjjePzxx69hRERU2uLjgTffNGHYMAueey4CO3Yob8QuXarDn39qMXGiCQ89ZIG2QvyrRkREROHq+utD5+3VWrVk7N3rTKAVVYayTh0JWVnuSTJBAGrWlHH2rHfyzGCQUVDgnO+WVBIErHzhN1Q5sQumhDqodHQbqh9cj2pHtqDa0S0AlDKgkds3IqeJ+hgf9heBRVFpw7lzAmrWVM9cuR7bNVGYmwucOSMgIUFGbi5w+bKAevVkR8KvJL3zDh0S0ayZ5DMOSVLGD4yO9l7mK4nJsQGJKhadThN2f6+12vDs9Rqu7QbCt+1sd/gJ17aXdrullBTgl2UAgMhtm2Fu16ZU919aQuX3zUfkRFSutG4tYfnyAnz9tQ5Tphhw+bKAvDwBkydHYNEiHaZNM6FLl9B5YEZERER0LV1tuceICOWnZ88918/+HkZ7Hl8QnInDnBz39Vq3lvD3384bY8kjFxYVq8HFpA7QajU4034gzrQfiMisDNz5ZGPHOh3mjcfy1zaqBuXZ42/3bhExMerXiUePOjN4nru6cEGZkZcnICNDRL16NkcbRNH/GH/26d27RUePvxMnBDRt6uwRZ9//tm0aGI3KvIICAdHR7jvbu1dE1aoyatcuu5qeR48K0OuBevWCN36f1YpSf5nPaFR+rxxDj8oLiyU872nNZrY73IRr29nu8BOubS/NdkudusJekETYuAHmUf9XavsubaHw+y4/NUWIiK4QRWDECAs2bszH8OFmx/z9+zW49dYoPPVUBP79N8xejyQiIiK64mp6ifTsafO5D3sSy7OXW8eOktc29vLsOp2zlKfnvlz3U6eOjCNH3Hes1puusFItfPvhKcd0lZN7MHxkDKL/PekzXte4zGav1bx4lpH3lUyVJCHgc52d7b7imjUar/GqCwq8k5+uzOayH87EaBT8nqOrSSwfPhzY44dVq0r/LemjR0W3MQiJiIiIqHyxtkyGHKWUxNBt3nRtB7guh5j4I6Jyq2pVGe++a8Ly5flITnY+BVm8WIeUlGh88YUONhuQliZgyhQ9HnpIjylT9EhL400/ERERkT/2pJva/bRnQk4QlJWio4H4ePnKPGWZVgtYrUVfe6kl0Hwl1cyxVbHz7lfd5g1+pgWGj4jG8BHRGPpQNdTY/zdMJv/7UaMryEadbT9DNBtV4/Hs3ed5Lnw9f5BlJbFnHztQLRla1vLygM2bNY54fJFl7xPmr11FrWN3/Pi1vwa/eFFAaqpyzsuybOKWLSKys8tu/0RERERhT6uFpWNnAIAm4yzE06eK2CC8MfFHROVex44S/vyzAFOnGhEXpzxxyM4WMHFiBDp3jka3btGYPVuPH37QYPZsPVJSorF4MSsdExERUcXjbxy44qhSxTuLY0/saFw6ZNWuLSM2FkhIkJGQICMpSVnJnhCzj6/nqXt3m0cPQeVnz5426HTK+M7+2nHwxjE+l2nNBeg/9WYMeTQRw0dEY8jdSkLwut/e97vPOtt/wT2P1kavmUMx7KGqiMo87XtlANnZSjLt3LmiT7h9TMBAe+yV5AVm123y852f09OV+CQJRSan7Ot6sicsPY/z55/Kl8HzvIbK2GRms1I2taxfCC8s9N9bk4iIiIiunqVrN8dn3ZZNQYwk9DHxR0QVgkYDPPSQUv5zyBDnK9SnT4uQZQE2mwBJsv8Exo6NYM8/IiIiIh9q1HDPlDRtKrmU+nQuS06WoNMBHTq4Zz3siR/XXnLR0Urpz2rVZMTEuB9PFJVqDhERymdRlP0mj2z6SCz65AIODfCdADQUZLlNd1j4XzRtFoc6235G+4X/Rf8pN+CG1/rh5kkpGD4iGr1m3OO2/h3jmkOfe9GrTZ7sPQtd2dvsmnCqVUtG/frXpiSRZxlRwHf8W7YUXVrTvu2//wrYtSuwxwihUH3JNYayTEaWVlvtPTKDZft2PiIiIiKi0GXp4pr42xzESEIfr+qIqEKpXl3G7NlGLFtWgKpVfb12q4zHsnCh7prGRkRERFReNWwoq372JTpafX7r1hLat/e+RnNNJgLuSZp+/dS7ydkiovHPsOn48e1U2LT6ImOy6zVzKFr89j5qHNqA6oc3ocrJ3T7Xvfvxeuj+4f3YsaN4yS57Kc+jR0XHfEEIvNxlUYmkkyed+wm0F6GvXnlZWYFtb1dQ4N2GS5dC84U65byHQAYyQMEqFyrLSlnUzMzQ/D0SERERAYClfUfIWqWKm27LxiBHE9qY+COiCqlbNxt69LD5vNGXJODkSf4TSERERBXL1ZT67NLFfwbJ2eOv6H01a1a8uoee4+cJgjMZqC2iQntejSQs+uIyln5+Fj++vQcrXvitWMf2lFutgdt0w03foc77kwBZdsR49qz/k3zkiPtJstlKt8dZXp6ys+xsYONG915iW7de3TWuv6SjRqOeaNy/PzSvq339fXAthVpaQqW8aUnIMpj0IyIiotAXHQ1r6zYAAO2hgxAuXSxig/AVmlfnRESloH59yeeDKVkW8NdfWnz3nTbgt6SJiIiIQl1kJKAPvPObm6ISbFdTzrBtW/+JQNekiWuZ0Nq1/Zf8dGWJikdejUY4f931WDIrDb+/tBoLvsrDqpV5WDA/Hwf7P+ZzW5tGh+33voEF83Kx7J29XstbLp+BSj/OBwCsXq1ejtEzeem2f5frTY2pILAG+WGzKXHYxw10PUeXL/s/YTk5QG5uyZI8ohhYD8NTp0RIUmgkktR+L2qlUK9GKJQ1vRr2MSiJiIiIQp2ls0u5z3+2BjGS0MbEHxFVWMOGWa7cwKrfxWZnCxgzJhK9ekXh55+1vNklIiKicq9FC8lrfL6r1bu3kunxvFaqVSuw48iy95iBgP8eUoJg7/UXcJhujPE1kNmki9tBto18B8efeRsAcKrjbVjywTEsmJ+PBfPzsejLLBy4+WnlgIKABfPz8f3MI277rPPSGFQ69I+jjKenohJiZ46a0PXTx3Hv/1XD8BHRSNz1e8kaB6Xcpq84fLGfCouleAk5SQLOnw9smw0blIRadrayXbBJkv/v2ZYtGhRcfR4WQOj0+Dt9WkBeXrCjICIiIiob7uP8bQpiJKGtiHc6iYjKr6QkGTNmGDF2bAQEQXaU+pEkoEkTCYcPKw8mDh3S4KGHItG6tQ3//a8JffrYQubGnYiIiCjYXHvguSb/WrcuOrPjek3VsKGEmBjvBGDNmrJXgs+e+LtacXHu0xvajcaG+aNV142Odi8BWVilNhZ+cRnDHqjsmHf9c72w6rllyEjup7oPWQZ0hTm455FaRcbW+507sfnBWTja+wHV5WvW+O6VlpOj/HQ9R2ZzkYd0xBiIHTtEtG8vwWRyjlnor5SsLCMkE06u31vP+PPzAas1OHGVlfR0ETqd+t81q1W9Zy97/BEREVF54Zb428xx/nxhjz8iqtCGDrVi48Z8jBljxuDBNowZY8amTflYv74AS5cWoGNH56vZe/ZocO+9Ubj11kjH28pEREREpLD3/CupxEQZERHe89u0kaDVqpf7LE4yQi0hlZAgq+6ja1elLa4JR7XehZJWj5/fcC8h1PWzMRAk9XMR99F7ASX9HPv6/AkMHxGNBpu+9VrmL5Fnb9OBAxrH56ISf4GeS/t6//4reG134oTotZ7JVLz9lwVfxzabnd+LY8dEpKUVnU3eskVT7DEAy6Lt+/aV/uOaVat83+Mw8UdERETlgZyQAGvjJgAA7e6dQGFhkCMKTUz8EVGFl5QkY9IkMz77zIxJk8xISlLuanv0sOHXXwuwcGEBkpOdD2+2btVi8OAo3HVXJLZv5z+TREREFN7siROdruyO4dkTy1+Zz5o13TMU8fG+95uWJuDcOe9kj0bj/hPwfbzsui3x49t7HNPRF8+g2R8fosqFQ2j7zUvoMWsUhoyui+EjolFl2su+g7kio2Uvr3k9PnwADdd/7ZgONAmTne38bLV6t1OtN1txEjxnzghu62dneydYizNe4OXLSjKuuGNsp6aKyMz0fZwVK7wTWpKkJPvsPf4kyf0c2b9znucjLw/IyxNw8GDx7gNKu2LImTPOHQaSsHSNo7hJPCb9iIiIqDyx9/oTLBbodu0IcjShiU+0iSisCQLQr58NK1YU4LPPCtG0qfMpxNq1WgwYEI0RIyKxdy//uSQiIiIqTa6JErUSkr4SKZ7zO3RQzyJp/BRwsC9TK3uoJq9GI2x49GPHdMeFz+Pm8e3R6pd30GDLEhjyLgW0n/WPf4FtU3/Fr1O8yxJ1n/sIKp/cHVhAHnJygBMnvE/YkSPe17BFJXmMRuDYMWVf+/aJXuvbz789MVacF+VSUzXYvVvEgQOBbWNPeOXn+x/T0F+bPL9nrp99fcfM5sDHNSzq+HYnTggBl2P1pPZ7LG1M/hEREVF5wXKfReOTbCIiKG9433qrFX//XYBZswpRv75zzJo//tCiT59oPPJIBI4e5eB/REREFF6u1djHrseJi5N99jD0jMfeUy8hwT1zIctKb0C1BKB9nusxfLXTPpbh6Y63+wrdy5b7Z2LB/HyvPye63Q1ZBi7Xb4Mf39mLc9dd77bdwEkp6PvmQETs26m638LC4iWPJJdhGI8cEaHTORM8588Lqj3lCgsFnDlT9KOCU6f8fzHUEklKzzv3XneXVHKm9kRXaSS87D3gPH+/ruP+lYai/p6kpYkwGou3T6noYTRV4lAvb2un1nOSY/wRERFReeKW+NuyKYiRhC4m/oiIXGg0wN13K+MCvvWWEbVqOe+2f/xRhx49ovHUUxFFPuggIiIiqojati1BJiIAnkmHypVl6PXeCYzrrpPQqJF7DPbEnz3xEhfn3GfTpjbVBKK9p58gAJ0723yW+XTdvzUiBr+9/FeRbTnU92Ec6znS5/I2bWyIjwfyqjfEyhd+w+8vr3FbXmvfX2hy7/Woctw7+Xf8uICMDPfrUF8Jp82bNW6JowsX3Fe0WJyJpc2bNW4JIdd95uUFdjxPkuQcU86ewLMnvuz7sFqBzEznyc/LU36qlbYs7riP9vXs23mWwHQt9SnLRScZrdarS46VpARncUui2o/jj1oPzR07NCVKMhIREREFg9SgIWzVawAAtP9sLdlFUwUXYGETIqLwotMBo0ZZcM89Fsybp8PMmXpkZoqQJAGLF+vw/fdaDB9uwbhxZtSsKSMtTcDChTqcPi2ibl0Jw4ZZHGMJEhEREZVnromEGjWKf33jK9nhq9Rnp042RESo9wSTZSAqyvd+1I7rubx2bdkt0Ve5MtC7tw0HDojIyvI9HiAAXGzcCV/Py0Gt1JXoVCcDa8wpyKnVVD0AH6KiAFGUASjHymzcGWufmI/rZ41wW+/ml3pg952TkdmoI9C9E4C4gPYv2KyITz+A7NrNERmp3PLLsu9EGqCM3ZeaKl5Z1329/PzA2uWpoMD52TWRJ8vK+HW1ayvnwmYDTCbAYACMRud6JpNzfVd//61BSooNer37/B07RLRv7zt7pdbjTxCAf/8VsWOHAKsVaNLE9/fm3DkB8fEyYmO9911WveVck3Guf0dycpREbuPG6gcubjzZ2cr5JyIiIioXBAHWLt2g+flHiLk50OzfB1ty62BHFVKY+CMi8iMiAnj0UQvuu8+CTz/VY/ZsPbKzBVgsAr74Qo9Fi3To1s2Gv//WuJURmjVLjxkzjBg61BrsJhARERGFJF/jrdkTe2oJPXvvPX+9p7RaZ1JNLeGVmOjMptiP4W+sP2V/LrGKGpxtcyOMN9qQ84f6QIKi6L9Mo2dcp7rcgVVRceg73b2caJvvX1M+TAeaDJ2Aws4PAM3ruq1jT5ABQOy5o7h9QhvH9Lov9gDaRl7nGvDuAejao84z4eTKNaF3NS5fFmCzKQm1M2c0qFlTdvvd2Euaeh7fZHKfd/KkEvi//7q3xzWB56/U5/HjvrvI7dkjokEDCXFxzp6BFouSDHZNHgfSC9JsLn5Cztd3qLBQQGamiMaN3d9uz8oCrFYBcgkykVbethAREVE5YunaDYaffwQA6LZuYuLPA0t9EhEFICYGGDvWjG3b8vDMMyZERSk300ajgDVrtJAkATab4PITGDs2QrVMEREREVF5UtIx/jp0CLx2oFpixlOjRhJq11auwfr18y7nI8vKOjVqyI5yn4Bzv/XqyTAYfB8nNlY9WRJI+6tWvfouXxnJ/bBgfj5OdbxNdXmjxW9h8DMt0LFTLATJu/1tvnvVLekHAG1euw+QZVy8qDTCX7lK+/WtJLknE2220r2etR//9GnRkbQDlLHn1M712bOC1+cDB5yPMg4e9H6sYTI5E4FFlfr0RRCA7GwBZrOykj0Jt3eviNOnvTfMzxccVabOnVOWWyzu6wSSj7NYlHZ6Jo8D2TYnp3hjQLq6dIn3LURERFR+cJw//5j4IyIqhvh44Pnnzdi2LR+PPWaGRuPrDlx5cLFwocqgMkREIWjdunVISUnBuHHjvJYtX74ct956K9q1a4c77rgD69evD0KERFTeJCTIEATfyRVRBFq3VjIbFovgt9cdALeyhp77vP56m9t8tfHg1MbxEwTnCg0aOD936CCpjg3oiz32iAj15S1bKu20Jyz9JXG23TcduV16+z1e5y/HovPP/8PwEdEYPiIat49PRvJP073Wi0tLRd83ByInB47jqpUzrVlTRkKCrBpbIEOmCFYLdAXZRa/osn+jUemdZk9ueSbi7OsdO6b84gTBmfg7f17AunXevS0LC4HcXOCvvzTYs8e5nX1faj0ffcXnaJvLd8n+x2gU3JKjFouA3btFXL6srLx7t3Ls1avdY/Tcd2amAFl27223erUGqalikb1GA4k90GVERERE5Y21RStI0TEAAN3mTbzY8cBSn0REJZCQION//zPhxAkBf/yhVS0jZbMBmzdrYLGgWA+OiIiutU8++QRLlixB/fr1vZYdOHAAEydOxKxZs9C1a1f88ccfeOKJJ/D777+jZs2aQYiWiK6l9u2lEvf4A4AqVWR06aKeORIEoFYt5QZdq5URGem+vFYtGVarDECDnj1tXtu6sm+rFqvnPPt0y5aSo2eWXcOGMo4fF6DTydDrld5XgbTfPg6gTqcktFyJIlCnjoyEBJtjPX8JnYKEulj1/C/IywMSjm5Fg43foPmKj9zWabLmc7fp2AtpPvdXa//fGD4iGlmJ12HDY59C21C9DNKRI6JqbDYbIFrNqLP9FyStX4i4c0cQd+6oz+Md2XQcQHWfy3NznZ8tFmfSS6NRP9ca9WqqqiVHCwuB7dvdN/BMBqsts7PZfCcH7edFkoATJwTo9QIaNiz6AdOxYwLq1VNfb/t2ES1aSF5lV+2xuf4uTCa4/R2xlx3NzwcqVXKfr/bca8MGHyeSiIiIqDzSamHt1Bn6v1ZDcy4D4qmTkOo3CHZUIYM9/oiIrkLTppLq2+MKAVu3atGuXTSmTtXjzBmWzyGi0GQwGHwm/r777jv07NkTPXv2hMFgwG233YamTZvip59+CkKkRHStVat2dW/OCkJgL0A1aiR7JUciI4HYWOWzr550vo7pS1m8COyasFI7X/aedK5tKKonlz2pldm4M7aNfAeLPv0Xv72+IaB4lv9vPRZ+cdlrfqX0Axg4uTuuG3e7I4C4s4fQZ/rtaDp7gmOe5zmSJGDgi11x/awRqLPrN79JPwBo0q0hRLMz++mvx6BrKUx/vUPtivr9aTTe51atx5+992B+vvu6Bw6IkGUgI0Nw2d55ULXjux5PLf5jx0RH+U1J8l5BktT369njb+1azZX9OXtJZmcLSE11JvTUejbaqZUAPX9ewNGjvEchIiKi8onlPn1jjz8ioqswbJgFs2bpAcgAXG+andMXLoh47z0DZs7Uo39/G0aNMqN3b5vPt5eJiK61kSNH+ly2b98+9OzZ021eixYtkJqaWtZhEREVi1qyo3JlGe3a2bB+vQYGgwyhiMySa+LEtadYvXoyTp3yva39RbDERAnR0QL27hUREwN07mxTTXwWlfiLjARq15YcvfDia0UiJ6Yt/hk+HZ0WPOdzux/eO4D8hHoAgJ/mpeO2UYle61T+ZzWG3hflPjN1JYb/OAeFcdUQmfMvAGDjwx8hPv0gGuz+FdFnj/gP2MOwh6rCFFMFh/o/hvWWpwBdrOp6nkkzk8l5jl2TdP4SWq4sFvXfkeevXZadPRw95wPA5csCoqPd43MtSeq6zxUrNIiKkt3Kdfrar6/Eodp8JYkpQLmvcDp6VESdOrLqNp49FE+fFlC/vu+TVlgI5OW5n5xAxtskIiIiCgWeiT/T3fcGMZrQwh5/RERXISlJxowZRogioNHIEEX5yk/g8cdNuOUWi2McQElSyoIOGxaFLl2iMXOmXrWsDxFRKMnKykJ8fLzbvPj4eFy+7N2bhIjKrxo15CLH2AtFTZo4MzOS5EzA2RMXGg0QHa18to/hV5Jef9dd5ztTJ8vO40ZFAZUqKQfo3l096WeP1Rd7Ty/XqhJGozJ+9JHeD8FYTUnmGa9rgx++z8Pij89h0ScXsGB+viPpBwC22Er4Y9IKXGjSNbBGAo6kHwCkfPIYWi6fgeh0/0m/M20HYPedk73mG/IuofUPb+CuB2tCn3dJdVvP3oA7djgb7XmOCgqUMQH9UetdmJmpnDuzGUhPF5CW5nsfat8N5xh/glsZTfXSoepfLrXEn2ci0ZO/Mf7OnHGOMagWhywr7T14sOhHPhwOh4iIiMorS/uOkK/cxLDHn7tyeGtHRBRahg61onPnfCxcqMPp0yLq1pUwbJgFSUnKXfS5cwIWLNBhwQIdzp5Vbr5PnRLx+usGTJ+ux8CBVtx/vwXdutn4di0RhSS5GE8FdTpNmf5bptWyu3Rp4zktXeX1fHboAAChGbuvc6rVatC8ueu0CL1ehkYD6HQCtFoBer2yrFYtEXo9oNfbfyrr6HTKWG12ynbKOlqt6NiHMu0eh14PxMaKMJkAg0F2bGezARqNxnFsNRqNsu/mzSWv5IxWq7QhIkKJBVCSOBERMqSoaKz67+9IPrQE8rCh0GZrYIqtBAFAfLSM/HxnW0wmwNTyP1j9v78AAM23LUTbdx4s4mz799ub/wAA8qvVhzUqDhERMoxG5ZiXxryAFk8OQI19f3lt1+an6dg58i2/+9brZdhsAqKiZBQUCI5zrtPJEAQgLU1z5fy4buP+e9m7V+OVwDaZgPh4GVqtgOhoGcePe69jp9VKjnOu1SrHtf/+NRrlu2L/XphMAvR6+crxnd+Vo0ddv0MaCIIMnU75rNXC8b04ccK5L61WgE4Ht3HDdTplO9c2un62j0NpP5YyT/lOWywCCgpkGAzOZVqt6Ni/fZ5eLzj+rtjZbEoCm4iIiCjkRUXB2qYtdNu3QXv4EISLFyFXrRrsqEICE39ERKUgKUnGpEkqA2cAqFlTxrPPmjF2rBkrVmgxb54Oa9ZoIMvKTfmPP+rw4486NG1qw6hRFtx9twUenWuIiIKmcuXKyMrKcpuXlZWFKlWqqK5vsfgZzKmUmM1lf4xww3Naung+S5/aObVa3eebTDJsNhmSpPQMs1oFx/LWrW0wm5VtTCbls8WiXIuZzc5uVRaLiNhYCQaDBKtVWd9iUdaPj5dx8aIzQWI229C2rQ0bNmhgtcowGGSYzc7j+Pse2NexWCRYre4vV0RHK73bJMl9mT2ey9WScLLjBCQkyLBelBwlJm02+C03eer6e5BwdDPqLPvYbf7Bm59E8+Uf+N7wipyU/riY2MI5w2qDyaQcs3JlGQ0aSPjr6UW455FaXts2++0DNPvtA6x9cgFOdR7stixxx3L0fm8IAOC3V/6GsXVHx+/J3ubcXPWYzp6V/LbZEapVhtUqQKuV/fYaVNZTzrnNpoxBaP/9m80izGbJ8bs7fhxo2tTmOL7VaoPZbMOxYxoAymer1V7CVPn8zz9At242xMUBZrMAq1WG2SzBYhFgswluPfxsNsBkkmA2O8uI2vcJKL1ZzWbJ7btmNguwWEQcOwYcOwbodJJjmf1cAoDRaIMoOv8OuJ6T3Fxbuez9S0REROHJ0rkbdNu3AQB0WzfDPGBgkCMKDbycIyK6RrRaYMAAKwYMsOLECQHz5+uwcKEOFy8qbxUfPqzBiy9qMGWKAYMHWzBqlAXt2hUxAAwRURlr1aoV9u7d6zYvNTUVAwfyYpqIgqtvX/fEmr3kpr9Oysp4ccq4aQYDEOsx9JwsA3FxUB2L2VdvZllWeqslJPhfz5VaCcf4eCA7G2jcWMLu3aLf8aBLUp5RloGjY9/FhgEvQ4yMgpyfC5shCpIhEkdHv4n8s9nodbMBK/6KgMZUgJjMk8iu3RwND6+AJdeEyHsHAh5VPy0W+76VcpqWyDgsmJ8PrTEPNq0B3ReOQ4MVXzjWv/6D4bDqo6A1FwAATna+A/W3LnUs7/vmLdj0yk8wVkuGLBsAqP8u7PbsKd7oJfbErT73Igz5l1HtyGaYI+OR3v5myKL6gezn2j4Wnyh6ju3tpIzJpzhxQvksCO6/702bNLjxRpujlKtSQtR7f4IAZGUJqFGjeL9sewlQ+z7U43QvJevK13wiIiKiUGTpmgLMUV5i023ZxMTfFUz8EREFQYMGMiZPNuO558z49VctvvxSh82blX+SCwsFLFyox8KFerRpo/QCHDzYgvPnBZ/lRImIysrdd9+Nu+66C3/99Re6deuGn3/+GSdOnMBtt90W7NCIKMx59kqSJHtiz3/yzZ7IqVZNRrVqvq+lEhJk5OUJXvtq21bCrl2iY1+CANSvLxerLLJ9Vdc22I8TESF7JfaaNJFw6pQzI6M2lp2/NjdrJuHsWVHp5RVdCVqtBlbxSr1HGcjKAhAVD+iUHdsMUchOvA4AcLzZDQCASv+q7NgHa0QMAODgyFdQe/330BfmOJbZk34A3JJ+AKA35qLn870d0/nDpsL4yGhkZakPlmhPPPoiWC2I+fcEGi//Gsl7tuH0iGcRsXkdWv/4pte6p9vfgrTJcwA4e7S7nlNlfD/v74Mr19/buXPK70uS3BOCavtWmwaU5GGzZkUfy9c8f4k/+3LPbZj4IyIiovLE0tcCFVsAAQAASURBVKmL4zPH+XNi4o+IKIgMBuCOO6y44w4rDh4UMW+eDt9+q0NurnKXvnu3Bs88o8ELLxhgMjlv3gUBmDVLjxkzjBg6NID6RkREfiQnJwMArFdqgK1cuRKA0rOvadOmePvttzF16lSkp6ejcePGmDt3LqpVqxa0eImI1NSuLSMuTkZ2tnLBpFPJFRVnDNJmzSScOKHxSoSIIlC9upItsfcyLO6+7cmWmjVl7Ntn317pSWbfj+tx4+Lce42p9Rj0p0EDGenpRceotlwUnb3dfPG1zBKfgJ/f3I5mK+ei1c9vBx7wFR0W/hdY+F8UPP8rzrfsVaxtdYU5uHlSCmIvHHfMq/X8Gp/r193xC+oO/sUxvWHSD8hocwOsVgHp6UB+PnD8eOCJv+xs5+dt29y/RJs2aZDjzIWqJquL+l0piUjlc36+799BXh4QE+M+z2qFzzEoOeY4ERERlSdyQgKsTZpCe+QwtLt3KjXzOWAx+C4XEVGIaN5cwtSpJuzZk4d33zWidWvnq9xGo1ICSJKUP/YxQMaOjUBaGu/OiejqpKamIjU1FQcOHMCBAwcc03Y33HAD/vjjD+zduxc//vgjOnXqFMRoiYjU1akjIyZGSVRpNECfPt7d4po0kRATU7yKCfYEXOXKzu3s5dhLkrDxta5n7zLXaY3GPWZ7kqc4JT8tluIl/urXV3Ze3CSjp8IqtbHr7lfx8xtb8W/jzjBVT8TZ5L5u6/zy+mZcbNbV5z7afvcKNKYCtFs8CcNHRCPh6Favdaqc2Ikqx3dCsFqgMeYjccdyt6RfcXWfMhjtP3kax5fuwdGjIgoLBVy8KLid8+3b3R+pmNWH/PbimvSz8/4eBfbLNRqBrVs1OHJEVO3xt2GDdwnTdes0OHtWgMnk/YXwV1qViIiIKBRZuqYAAASrFbqd24McTWhgjz8iohATHQ0MH27B8OEW7NolYuzYCOzfL8J7LBEBkiTj4Ycj8d//mtC9uw2RkcGImIiIiCh01Kwp+xwXLZDx0jwTMPbEX1KSjIwM92U6nZJwLCnXY/krsajVKkm+666TcOCAWKJknGv1iEA0bSrh5En/WSC93n+yy7XXW3bdlljx6hp062ZTTUatfWMlonZuQoPCg6iybAGqHd3iWFbt2D+49/+cPc1velUpB7p96Ou40LwHBrzSM8BWARcbtkNOzSbYNnw6DPmX0W/qzYi6nKG6btKfnyLpz0+x8uUVONdYeaDkWrYzM9P9hLqOr3e17L+rs2f9/9JsNmfpV8+xAv3Fk5oqompVZw9ZO95PEBERUXlj6dwVkfO/BKCU+7R0/09wAwoBTPwREYWwtm0lNGsm4eBBXw94BKSmajBsWBQiI2X06GFD375W9O9vRd26HP+PiIiIwo8glLxcoVoPPteEnOeyiAglQeZ5/OJISJBRqZJ3AsYzKShJygtigHM8w+Iet0oVGcePl+zktG5tw7p17gm7Zs0kpKZ69zQrCUEU8G+zFETV74Z/2j4Ifd4l/OeD4ai1/2+f23RY/GJA+/5p+k7k1GwCQXTvsWeKq4al7x8FAOjys9B01Sdos+R/EGX332m/V/vjm48zYImMg1Wlyn7CoY3o9PFoxJ89BHHkOzjc/7Gig5JlVDmxCwZDPBCR5Da/5r41aLbre+QJMdh3yzNAfA21zd2o/f6L+r1cvMjKIURERFT+Wbp0c3zmOH8KJv6IiEJc3bqSnwc5ylgwAFBYKGDFCi1WrNDi+eeB5s1t6NfPiv79beje/VpFS0RERFSxeJbjvNrSl3axscrPDh0knDkjOPYrCPYEpJK16dPHBotFmWdPOvlL6NSqJSMjQ/3i0bVkaGQkUFjoez+e15+uY8JFRyvjyhW3LKRaYtXOtf0AYI6pgr/HfYuhD3snvYojrfu9yKnVtMj1LNGVsO+2Cdh32wQYcjMxaFwL6Ez5juX3PFILALBuzDxITbqioEoiIAiouXc1+k271bFe56/Go9be1Vj71ELIGqWrZrXDm2CMr47c6kmAKEKwWXHLC50Rf/YQAKB5zST8OmMPKp/cg4GTUtziuu73WY7PF5/7H5A8HoD3d0AU/X8vOHYfERERVVRS/Qaw1awFzbkMaP/ZqpRDCPP65Uz8ERGFuGHDLJg1Sw/XJJ9ChigCb7xhRGqqiJUrtTh/3vlK+sGDGhw8qMGsWUBcnIzeva3o18+Kvn1tSEhgb0AiIiIiTxERslsPP43GvcdftWqS35KcQOAJlq5dbY592Xv06XTu+4mIUObZbEpSx34NV5Lko07nbEvz5hJOn1ZP/Ol06uMBarVKEnL1ag3i42Xk5wuOdWQ5sBKRaompqlVlXLwooKBAmXY9rjUiBgs/v4Rae1cj4fx+nG7WB1l1WqD+liXoPvcRt/0cuPFx7Bn8Iqqc2gObLgL1t3yP7MTrcLTnKMc69qRqUUyxCfjmk/NIWfgMkn7/2G3Zf2aP8rGVU90dv+K+++OLPtAV0efScPfQmCLXqzr9JbQcImHfbRNgs7l/D4ozfqOa+NP70GPOg4j4KwV5U6aF/cMyIiIiKkcEAZYu3aBZthRiXi60+/fCmtwm2FEFFRN/REQhLilJxowZRowdGwFBkB1vSssyMGOGEUOHKq9+S5IJe/eKWLFCi5UrtdixQ3SM85GTI2DZMh2WLdNBEGS0by+hXz8lEZic7HyAlZYmYOFCHU6fFlG3roRhwyxISmKSkIiIiMJDw4bu1z19+9rcphs3Lr3rItdETFSUjLg4AZ0721BYCLfrPdd17bkYZZw59Vh8JQX79LEhJ0f5XKeOjNOn1ddr2VLCrl3q2U17YrJKFRlnzwqOeGTZ/xiFV0PSGZDebgAyDQMcY9Yd73EfTnUajOt+nwVJo8WZ9gNRUK8ZrFbg/HXXAwAyG3f23teVc1O5sozLl4vOlO1+5D1EH9+PGofWl2aTrkq7715Bu+9eAQD89fRioKPS27CoHn/+NFz/tTOR+tleGAfdBWuXrqUQLREREdG1YenSFRHLlgIAtFs2MfEX7ACIiKhoQ4da0blzvt+knCgCrVtLaN3ajPHjzcjMFLB6tQYrV2qxZo3WMW6MLAvYvl2D7ds1mDbNgOrVlSSgwQDMm6dzKS8FzJqld0suEhEREYWTsiyP6LrvSpWASpW8xwr0TPzZGQzeGZ4WLWxITdU4klsajdJTsKhje6pe3bnvdu0k7NzpndFLTJSxdy8QHy+jVi0ZZrPv/fk7ds2aMiwW9+WBJq9shijsvf05x7QugN+VwQBH8tBTXBwciVG7/Hxg5fO/oNH6r9H1szF+9512/yScHT4O7YYkI/ry2aKDAZBfpwk02ZcRkZvpNt+m0eHQ2JnIzTSjy7yxPrfvNXMolr21G7k1G/tN/F26pLQ79txR3D5BeQh2vlkPnOg2BKc63ubVe1KqVy+g+ImIiIhChdV1nL/Nm2D8vwDGXK7AmPgjIionkpJkTJoU+FOVhAQZd99txd13WyGKGmzcCKxYoSQCDxxwlu65cEHEwoV6H3uRMXZsBDp3zmfPPyIiIqIAXG2y0N6rzjXx59qb7sYbbZBl4NIl5UCVKgFZWUB8vLKtfZukJAlHjrgn7eyx+YvRdZk9CVirlvp1oFYLREfLEAJs9I032hwlPQHlpbXt291jrFTJs7y9IpDypv7GNwT8V6/U69WPK2t1ONrrfhztdT8gy4i+eBqi1YzrfvsAsqhBVp0WuNy0C/SdWuBshgYnZhxCzf1/odP8ZxF56SyOvfsNduk6ovrhjej49UTEnz2EAzc9gePdh0LbuS0unJPR5+1BqJ26CpbIWPz9/I84l9TV0ZYj/R4GAFQ/uB43vH6jV3z2RN6mn07AWilBtW3p6Uot2YEvdHHMq3FoPWocWo8uXz7ttq5x0B2QatX2faKIiIiIQpC1RStIMbEQ83Kh27LJ/+DSYYCJPyKiMKDVKuPIdO1qw+TJZpw+LWDlSi1WrdJi3ToNCgt9/UcoQJZlTJ1qwAcfGBERcU3DJiIiIgo7Wi1www025OU55wmCUl7TdVoQlOkuXWxuPfu0V+7yS7P0ZuvWvrNu9erJsJcdVes156mo5y+iqJ7Ac22PPdkJOHvxXXedhMxM/zu3J0UjI4HLl9WX+SUIyE9QesNtfWCmY7ZWq0F10eoI9FyrPvh52g4AQLduNtg2aZDRuj9+bt3fbXfVodRIXf3cTwCU5G1BAQCVMRYvNO+B319eg5te7a0aWrfbGqCgXlMUjPoQdbf9hPS2N6HZirmot20ZAMAcGQetxei3eftvfhrVZk0O4EQQERERhRiNBtZOnaFfswqa8+cgnjwBqUHDYEcVNGVUhZ+IiEJZ3boyHnjAggULCnHwYB66dbM6Hh55kmVlfMDmzWMwcmQE5s3T4ezZ8H1jhoiIiMif0nixWEnsuY/t16mTd/LNnqxy7clWvbqMhg1lRwLQX4ytW0uIj7+6WHU6916Krpo08Z0wjIx0ttEzSalXKUbRs6cNkZHK5+uu865h6qtXotrvQ23dkoyPp9MpVTb88fd9KO4xMxt3xtdfZGHxx+dwPOUer+VRpw7jxtf6ocVv76P/1JsdST8A0Bf6z8jmVa2LHUNfVz/5REREROWAxa3c58YgRhJ8TPwREYW5yEigUydbkW+FFxQI+P13HSZMiEDbtjHo1SsKr7+ux+bNGlg5BCARERFRqYqJAa6/3scgfVCSTrGx6pmjpk0lv2Ut7ckoUQSSk5Vj1K5d+mXd/V1furatefOi63gKAtC2rQ06HRAdXfSxa9RQ2tO7t/M4DRv6Po7rPu3bFqVqVfdemGrs813XDYSv/claHayRsdgw+nP8+M5eGGPVy3v6cy49Cwvm5+PbD0/hp+k78fMbW/HjjINhXQ6LiIiIyj9L1xTHZ93WzUGMJPiY+CMiIgwbZrnyxrHnAwkZgiBj4EALEhLcH5Ts36/BzJkG3HZbFFq0iMFjj0VgyRItLl7kAwMiIiKi0uAveRcbC7Rr5zuRJQhw9JDzx57wSk4OYBC9AP0/e/cd3lT1xgH8e7O6Bx0UaKFA2R2UvWWVgqCIDEVEQEDACago+EMRFcGNyhIHoICDIUMQSkGWIHuUsoelhVJmW1raZtz7+yM20Dbd2fl+nqcPbXLz5j0naXM57z3nVKlS8JyypHZUxIP1qfzZhoXlFx0fvL9mzeKLb02aiGjXTlckfkkCAqT/9iQsma8v0LJl8TM2Kyqrah2snJeEpT9l40KnoWV6zJavDkOu1HeO2ssfmdUbIKNmeOUSISIiIrIBmujmkP47+VPu22vlbKyLe/wRERHq1pUwe3YuJkxwhSBIhv1vJQmYPTsXgwdrIYrA8eMybNmiQHy8AkeO3B/BSU8XsHq1EqtXKyGTSWjeXESPHlrExGgRESEWGDy5eFHA8uVKJCfLULOmiCFDNKhb1/RXmBMRERFZS3HFKEvy9JQQEiLi3Lmi1/taemJX9+46xMWVr/pXq5aEy5cLJpqf94P5t2unw5YtJceuX79gP7i4GD/39PYuV4rw85MgkwH//lv8MYKg34exvMr7Gu0d8w3OxI6DoNOhZu/GuLLuGG7WbwNJJgckCf4XDyGzRgMo/b0BlD8fIiIiIpvn7g5tVDSUhw5Ace4shJs3IQWUf3UER8DCHxERAQAGD9aidevsYotyMhkQHS0iOlqNSZPUuH5dwLZtcsTHK/DXXwrcvasfnRBFAQcPynHwoBwzZ7qgWjURMTFaxMTokJYGTJniaigqCgIwZ47KUFwkIiIisndyecHlJa3F0xNwd5dw7lzxx1R2xpkxPj7688Zq1SQEBEg4c0Z/zpe/lGj+OWC+sDARLi5FczJW+BIEQBQL3ieT3d+Wrk4dEVevyosUXuvUKdgPXl7F5//gMp916ki4dEkw3J6WVjApUUSJeymWR3CwhKys+/HFCkzAvF27GQCglruIGw3bw8sLuHsXgCDgVlhLAICi0Gvu7y9xxQ4iIiJyGJq27aE8dACAfrlPde9HrJyRdbDwR0REBnXrSpg6VV2mY6tWlTB4sBaDB2uh0QD798uxZYsCW7fKcebM/auur12TYelSFZYuBfRLiRYeWJAwYYIrWrfO5sw/IiIicgjOsFVacQWvOnVEpKQI8PeX4Ol5//b8pUQLF/58fQs+vqS+k8mMF8TyC62enkCPHjoIgn6liorw9pYMF7Q9mEv16kULfwqF8VmIDyrre6HwcVevFn1gw4YizpwpvV35y5yGhIg4darg8WFhotFjiYiIiByBpk07YO6XAPTLfTpr4Y+neEREVGlKJdChgw7vvpuHXbvu4cCBLMycmYuYGC1cXR8s5hkb+RAgScCkSa7YtUvOK46JiIjI4Vmz2GKqZUi7dSt+VmONGhJ8fIxf0FW48Jcvv09K6hu5/P6MQD8/4/FlsqLxSyo0GnO/mHf/OYKCJHTvfr/N3t6Ai0vphb0H739wZiOAAoXRssy+zC+21qunL94Vt3eiTCYVee58wcH3n+jBwiURERGRI9C0bmP4XrlvjxUzsS4W/oiIyORCQyWMGqXB8uU5OH06C8uW3UOdOjroZ/wVJUkCdu1SYMAAdzRu7ImoKA8MHuyG999XYdUqBU6flkGjsWwbiIiIiMwlJsYyS4EWLuooFICvb/lWWKhf3/iak8UVjCRJPzsufzlNH5+C96tUQEhI0RzyC1/5RStjHiwKNmxY+lqYdeoUjVV4v73C7csvTHp7l1xALOm2B/N88P78gh2gL466ud3PryyFP6VSHyO/YFhcETf/+QVBv+RqSVj4IyIiIkci+flD27ARAEBx/BiQnW3ljKzDYQp/u3btQvv27TFx4sQi923cuBGPPvoomjVrhv79+2P37t1WyJCIyDm5u+uXXHr0UW2xVyUXdu2aDNu2KfD11y54/nk3PPSQB+rU8UT37u54+WVXLFigxM6dxc8OvHhRwAcfqDBqlAoffKDCxYsc0SAiIiLbYa5iS8OGumJnwgGAmxvQvHn5No8rz1Lsbm5SkSVA27YtWGhTqYBGjYrm0LatDkpl8bPYAP19+fv5yWQlHytJgEpVeu61ahU8RhSFYpfvlMmABg2ML5X54LEBAcaf98EL2apUuX9M/t6FD8ovmEZGinB31+/FFxQkISxMMuxDaOy1Vij0OSmVKHbW5YNY+CMiIiJHo2ndDgAgaLVQHjlk5WyswyH2+Pv222+xcuVKhIaGFrnv1KlTePPNNzFnzhy0bdsWmzdvxksvvYRNmzahWrVqVsiWiMg5DRmiwZw5KhTd50+CIABTpqhx44aAxEQZEhPlyMgoOAqhVgtISJAjIUEO4P7lzUFBIsLDRTRpokN4uIh//5Xhk09UEIT8K7blmDNHhdmzczF4sNYSTSUiIiKyirIsY1kWJc0Sa9y4+MJh06blKyo+yNtb/29JS33KZPf38ytuv7/KkiR97Adn4D1Y3KtTR4K7u4iLFwsmWq+eiOTkgpVIL6+CxcnAQAlnz+qLciEhEi5f1p/vKhRF29KokQ779slRo4YEnU7E9etFK3T16om4erVo9VMQ9DMKvbxK76P8wl+DBiLOnnWYa8Nt0po1a7Bq1SrDz5cuXeKF6URERGagadMWbj8tAgAo/9kDTceHrJyR5TlE4c/FxQUrV67EjBkzkJeXV+C+FStWoHPnzujcuTMAoG/fvli6dCnWrVuHMWPGWCNdIiKnVLeuhNmzczFhgisEQTIsoyRJKFKUkyTg6lUBJ0/qi4D6f2W4cEEGUSw46JGWJkNamn6GYPEkTJjgipYts1GvXvmWtyIiIiKyVyXN5ipuCUqg5AJe4RlyphQeLsLVVT8bTpL0y3lu2yaH1si1W4WLcxVVuI9EEQ9cQFb2x+XPRHxQ69a6AjMgPT2Bdu10OHhQX6yTJKBqVQlabcECnbe3Pl7+cqbF5eLmZjw3Y/scNmsm4siRgoW9/LheXtbdd9JZ9OvXD/369QMA7NixA/v377duQkRERA5K07a94Xvlvr1WzMR6HKLwN2zYsGLvS0xMNBT98jVp0gQJCQnmTouIiAoZPFiL1q2zsXy5EsnJMtSsKWLIEE2RJaQEAQgOlhAcrEOPHveXh8rJAc6ckRUqCMqRnl7aGkUCRBHo1MkDjRuLaNBARMOG+f/qULt20WWpiIiIiBxdfuEsLMw2LozKX8Iy/1+g+OJbWZeQz1e9etna+OCMv/zndnEpeIyHh4SgILHAzw9q2FDE9evGEzTWnsBACTk5AjIy9D9HROjg7g7Urq2Pm1+MLCtjx3p6FsyxceP7M/zyC4X+/rbxPnAG3377Lb7++mtrp0FEROSQxJq1oKteA/LUq1AcPABotXC2gT+Hb216ejp8Cu0m7uPjg/Pnzxs9XqmUO90a9wpFOf/H5ECcte1st/OxpbY3agS8954OQH5Br+yXF6tUQOvWQOvWEgD9pd/5swNPnBDw3ntKJCbKUHAp0ft0OgEnTshx4kTB/lCpJNSrJ6FRI31BsFEjCQ0biqhbVzJ69TYAXLggYOlSBS5fFlCrloShQ7U2M2hmS6+3pTlz24mIiByRq6t+JmBhpc1QKzwbMCqqYIzISBGBgUXP3URRPy6UX/hTKIBOnQruU+jpWbCQ9tBDItTq+3m5uxvPoTi1a0vIyJCgUMhw757x89jyjFMYm/FXuL/8/e+vwJF/bMuWZlg71c7t2rULb775Jtq0aYMvvvjCcPuVK1cwffp0HDt2DO7u7ujduzdee+01yMowdfLgwYOoW7cuqlSpYs7UiYiInJcgQNOmLeRrVkOWnQXFyRPQRkVbOyuLcvjCHwBI5Vj/Q6PRlX6QA1KrnbPdgPO2ne12Po7c9sBAoGtX4O+/BZw+rYLOSFMFQYKPj4S7dwXodEX3Dzx5Ur+06IMUCgl16+pnBubPEmzYUMTBgzK88YZrgWWgvvxSYVP7CDry610aZ247ERGRsyjLjL+SimU1aujHCSRJv/xmvjp1RMhkQGrq/YuCK3pxsLELyz09gbZt9c/n43N/1QkfH8DHp+g+gWXh4QFkZ+u/z5+xWFjh/nJzA9q00SE5mWt8Fufbb7/FypUrERoaWuS+l19+GeHh4YiPj8etW7cwduxYBAQE4Nlnn8WKFSuwYsWKAse/9957aNSoEQBg9erVeOKJJyzSBiIiImeladMermtWA9Dv88fCn4OpUqUK0tPTC9yWnp4OPz8/6yRERERmM2SIBnPmqABIKDjrT4IgAJs23UNwsISLF2U4e1aGM2f0/549q98/UKMpOKqj1Qo4e1aOs2cLD8AUjq+/bcIEV7RunV1k6VIiIiIia+ne3b4viPH2lqBSGT+3KuvynSURBP2eevnyZ+tVr66/aKxu3fLNggsLu3+8sYKhINx/Dl9fwNe39DaUdi1z7drif6te6D0446+44qVMpm+3/lieuxrj4uKClStXYsaMGcjLyzPcnpCQgNOnT2PRokXw8vKCl5cXRowYgSVLluDZZ5/FoEGDMGjQoGLjHjt2DO+//74lmkBEROS0NG3aGb5X7vsHOWNesGI2lufwhb+IiAicOHGiwG0JCQno06ePlTIiIiJzqVtXwuzZuZgwwRWCcH/5IkkCZs/ONRTkGjcW0bhxwUEcjQb499+CxcDTp/UFwby8wqM2xi77FiCKEh5/3B29e2sRESEiIkKHhg1FuLqap71EREREpSluO5OICF2RvetsUURE8YW3wst3mlL9+vrYPj5lL4o1b35/+VBTXwhW0qxDsVA3yOVA9epigccV93hBML40KAHDhg0zentiYiKCg4MLbCsTHh6OS5cuISsrC56ensXGTEtLg5eXF+SlTFnlNjTOw1nbDThv29lu5+Osbbd6u5tGQvL2hpCZCeX+vVApLXPCY/V2/8fhC39PPPEEBg4ciO3bt6Ndu3ZYv349/v33X/Tt29faqRERkRkMHqxF69bZWL5ciStX5AgO1mHIEE2pgy9KpX6AJ3+QJ59WC1y+LODMGTnOnpXhxx+VSE4WUFzxLzVVwPff398YUC6X0KCBiPBwfSEwIkL/vb9/6YNBFy8KWL5cieRkGWrWFMvUDiIiIqKy8PCwdgbmlX8BmCU9uGdg4XPKysYtPDOwa9f85UIBnQ6IidEhPl5uaHd+7Sk0VMS1a8UPQPn6SsjOdrIKUyWlp6fD+8FpooChCHjnzp0SC383btyAr69vqc/BbWici7O2G3DetrPdzsdZ227tdmtatoZqWzxkaWnQnjkHsW6YRZ7X2u0GHKTwFxkZCQDQavX7KsXHxwPQz+xr0KABPv30U8ycORNXrlxBvXr18M033yAwMNBq+RIRkXnVrSth6lQ1VCp5pT9sFQp9vLp1tXj4YeDuXWDuXOP7CBpbAlSnE3DqlBynTsmxcqXScHuNGqJhVmB+UTA0VDLsyfLzzwpMnFhwH8E5c1Q2tY8gEREREZmfsTqSSpV/nwSdrvg9D319gYYNxWKLoNWqSbhyhYW/8pJKW3+1GBEREViwYIGJsyEiIiJjNG3bQ7VNXytS7v8HeRYq/NkChyj8JSQklHh/bGwsYmNjLZQNERE5spL2EZTJgE2bspCVJcOJEzIkJspx4oR++VCttuCAytWrMly9KkNc3P2PYk9PCeHhOoSEiFi9WglJMv8+gpxVSERERGQ7yjtTsWbN4ot6+WrXlkrdJ5DKzs/PD+np6QVuS09PhyAI8PPzs05SREREVETBff72Im/w01bMxrIcovBHRERkKaXtIxgdLQHQoWNHHQANACAvDzh7VobERBlOnNAXA0+ckCMzs+AoTVaWgH37FNi3r7hnFyBJEp57zg2xsVr4+0uoUkWCn59U4HulsrjHF8RZhUREROSoIiPFYmfBOZIHtpkDANSta759D0kvIiICqampuH37tqHQl5CQgHr16sHD0dfQJSIisiOa6OaQlEoIGg2U/+yxdjoWxcIfERFROT24j2BZZsq5uOgHnyIjRQD6gpokAcnJwgOFQP0MweRkWYnPLUkCEhLkSEgofiTL1fV+EbC4r7w8YOJEV4vMKiQiIiKytLJeCOVowsKMn7+VNCuwRg0Jnp487yurJk2aIDIyEp999hmmTJmCtLQ0LFq0CCNHjrR2akRERPQgNzdoo5tDeWAfFBfOQ7hxA5KTbAHHwh8REVEF5O8jWFGCANSqJaFWLS16975/+507wJQprvj9d4WRolzZ5OYKSE0VkJpaocwgSRJeeskVgwZpUb26iBo1JFSrJiEg4P4ehOXB5USJiIiIzM/YXoBlUb06z8uMiYyMBABotfoL9+Lj9XsEJSQk4KuvvsLbb7+NDh06wNPTE4MHD8aQIUOslisREREZp2nTDsoD+qW1lPv/gbrPo1bOyDJY+CMiIrIhVaoAb7yRhzVrFJAk4/sIfvddDtzcgFu3BNy5I+D2baHA93fuyHDrFnD7tgCNpvzFQ0kScPCgAgcPFjxNUCr1BcAHi4E1aoioXl1/W/XqEoKCJKhU9x/D5USJiIiILKNDB521U3AoCQkJxd5XrVo1fPvttxbMhoiIiCpC06YdMGc2AED5zx4W/oiIiMg6SttH8JFHSh7UUankUKt1kCQgO9t4gXDtWgUOHpSXa1ahRiMgOVkocTlSQdDPDKxRQ4K3t4jdu43NXORyokREREREREREZF6a1m0M3yv377ViJpbFwh8REZENKu8+gsYIgn7JJ09PCaGhBR8XE6NF+/Yexc4q/PzzXADA1auy/5YNleHqVQHXrgm4fbv4wp8kCbhxQ8CNGwBQ3D6EAkRRQp8+7oiOFg2zBu//q//ey6vMTTUsJ3rlihzBwTouJ0pEREREdkuplJe4L6MjUiiK38PckTlruwHnbTvb7Xycte020+6gQOjCwiC/cAGKo0fg9d5UaJ4dBTGsnlmezlbazcIfERGRjarsPoKlxS5pVmFJy3Dm5ADXrumLgampAq5eleHaNeG/wqC+QJiWJkAUSxqt0M8+3Lq1+CKip2fBYmD+EqMPFgp9fYFffim8nKicy4kSERERFVKRvZrJOjQa51y2Va1mu52Ns7ad7XY+ztp2W2i3y89LIbtwEQAgSBJc5s2By7w5uDt7LvIGP22W57SFdguS/lJ/+s+NG3etnYLF5S8J54ycte1st/Nx1raz3aXLnylX0VmFxdFqgalTXbB4sbKYAqB+ZmHJxcHSubhIyMsDCs5avB9/zx7TLScaGFiOKYhOzNznUs76e21O7FPTYn+aHvvU9NinpmXK/ty6VY42bXTw9DRJuALyL/SyJp5PlQ3HppyHs7YbcN62s93Ox1nbbgvtll88jyrtW0IQxQK3SwAgk+H2nkMQ64aZ9DnN3e6ynktxxh8REZETM9esQoUCGDNGjcWLldCfUhVdTnTPnmx4e+O/WYOCYVnRB/+9elVATk7xI1R5ecXdJ0AQJCxfrjTbrEkiIiIiU3NzM9/MPGsX/YiIiIgsyXX5UqMnQAIASRDgtvwnZE991+J5WQILf0RERGQWpS0nmj8TLyBAQmQkABS9IkqSgIwMFCkG5n9/6JAMd+8KKDrjT//Y5GSuaUVERET2o31755sRQERERGQOsuQk/eCQMZKkv99BsfBHREREZjN4sBatW2dXeDlRQQB8fQFfXxFNmgCFi4MffKDC3Lkq6IyMkQkCULOmWPQOIiIiIiIiIiJyaGLN0OKXPBAE/f0OioU/IiIiMitzLScKAEOGaDBnjgrGlhOVJP39VHkNGzaEUqmE8MAJ8xNPPIG3337bilkRERERERERERmXO2Qo3ObMNjJiBECSkDPkGeskZgEs/BEREZHdKutyolR5mzZtQkhIiLXTICIiIiIiIiIqla5uPdydPRdeE14ERP2KUBIAyGS4O3suxLphVs3PnFj4IyIiIrv24HKiV67IERysK9dyokRERERERERE5HjyBj8NTYtW8O/QEgAgVq+B9N83OHTRD2Dhj4iIiBxA/nKiKpUcarWRDf+o0j777DMcOXIEWVlZePjhhzF58mR4eHhYOy0iIiIih6NUyovdkshRKRRya6dgFc7absB52852Ox9nbbtNtbthfcO3Uu3aUDRqYLanspV2s/BHRERERCWKjo5G+/bt8dFHHyE5ORkTJkzA9OnT8fHHHxc51twDVbZyEu1I2Kemxf40Pfap6bFPTYv9Saam0TjnhWzOegGfs7YbcN62s93Ox1nbbjPt1t7PQxIls+dlC+1m4Y+IiIiISvTrr78avg8LC8Prr7+O559/Hh988AFUKlWBYy0xUGULJ9GOhn1qWuxP02Ofmh771LTYn0RERERkK2TWToCIiIiI7EtISAh0Oh1u3bpl7VSIiIiIiIiIiOgBLPwRERERUbFOnjyJWbNmFbjtwoULUKlUqFq1qpWyIiIiIiIiIiIiY1j4IyIiIqJi+fv749dff8XChQuhVqtx6dIlfPnll3jyySchl3NPIyIiIiIiIiIiW8LCHxEREREVKygoCAsXLsS2bdvQpk0bDB48GJ06dcKkSZOsnRoRERERERERERWisHYCRERERGTbWrVqhV9++cXaaRARERERERERUSk444+IiIiIiIiIiIiIiIjIAbDwR0REREREREREREREROQAuNQnERERERERERGRjVAq5RAEa2dhWQqF3NopWIWzthtw3raz3c7HWdtuU+2WSYZvBZkAlcp8udlKu1n4IyIiIiIiIiIishEajc7aKViFWs12OxtnbTvb7Xycte02027t/TwkUTJ7XrbQbi71SUREREREREREREREROQABEmSpNIPIyIiIiIiIiIiIiIiIiJbxhl/RERERERERERERERERA6AhT8iIiIiIiIiIiIiIiIiB8DCHxEREREREREREREREZEDYOGPiIiIiIiIiIiIiIiIyAGw8EdERERERERERERERETkAFj4cwJXrlzBiy++iDZt2qB9+/aYPHkyMjMzixy3evVqNGrUCJGRkQW+jh8/boWsK69hw4aIiIgo0Jb333/f6LE//vgjevbsiebNm+Opp57CiRMnLJyt6Rw4cKDIaxgREYGGDRsWOfbrr79G48aNixx/8+ZNK2ReMbt27UL79u0xceLEIvdt3LgRjz76KJo1a4b+/ftj9+7dxcZJT0/HhAkT0L59e3Ts2BH/+9//kJuba87UK6WkdsfFxaFv375o1qwZevbsid9++63YOM888wzCw8MLvP59+/Y1Z+qVUly7y/v3y95eb6D4tk+dOrVIu5s0aYIpU6YYjdOtW7cifxvHjRtniSZUSEmfYadOncLQoUPRokULxMbG4ocffig2jiiK+OKLL9C9e3e0atUKo0aNQnJysqWaQSZw5coVjBkzBm3atEHXrl3xySefQBRFa6dl00o6F9q7dy8GDhyI5s2bo0+fPli3bl2BxzrSuVFlVPQ8o7S/Ofb4OWQKFf0cZ38WrzKfk5V5Dzuq4vozJSUFDRs2LPIe/f777w2PZX8SlYxjUxybctSxKWcdlwI4NsWxqfsceWzKbselJHJ4jzzyiDR58mQpKytLSk1Nlfr37y+99dZbRY5btWqVNHToUCtkaB4NGjSQkpOTSz1u69atUsuWLaWjR49KOTk50jfffCN16NBBys7OtkCWljF//nxp/PjxRW7/6quvpDfffNPyCZnIwoULpdjYWGnw4MHShAkTCtx38uRJKSIiQtq+fbuUm5srrV27VmratKmUmppqNNZLL70kjRkzRrp165Z07do16cknn5Tef/99SzSj3Epq97Fjx6TIyEhpy5YtkkajkbZv3y6Fh4dLBw4cMBpr6NCh0qpVqyyRdqWV1O7y/v2yp9dbkkpue2EajUbq06ePtH37dqP3d+3aVfrnn3/MkaZZFPcZlpOTI3Xq1En6+uuvpezsbOnEiRNS69atpc2bNxuN8+OPP0pdu3aVzp8/L929e1d67733pEcffVQSRdHCLaKKevzxx6WpU6dKmZmZ0qVLl6TY2Fjphx9+sHZaNq24c6G0tDQpOjpaWrFihZSbmyv9/fffUlRUlHT8+HFJkpzj3KgsKnOeUdrfHHv7HDKFynyOsz+LV9HPycq+hx1Vcf2ZnJwsNWjQoNjHsT+JSsexqZI5w/mXI45NOeu4lCRxbIpjU84zNmWv41Kc8efgMjMzERERgddeew0eHh6oVq0aHn/8cRw8eNDaqdmMX3/9Ff3790fTpk3h6uqK0aNHAwD++usvK2dmGlevXsWiRYvwxhtvWDsVk3NxccHKlSsRGhpa5L4VK1agc+fO6Ny5M1xcXNC3b180aNCgyIwGALh58ybi4+MxceJE+Pn5ISgoCC+88AJWrVoFjUZjiaaUS0ntTk9Px9ixYxETEwOFQoHOnTujQYMGDvE7X1K7y8PeXm+gfG1fsmQJatSogc6dO1sgM/Mq6TNs+/bt0Gg0eP755+Hu7o7w8HAMGjQIv/76q9FYv/76K0aMGIGwsDB4enpi4sSJuHDhAo4dO2bhVlFFJCQk4PTp03j99dfh5eWF2rVrY8SIEcW+3lSy9evXo3bt2hg4cCBcXFzQvn17dOvWDStWrADg+OdGZVWZ84yS/ubY4+eQKVTmc5z9aVxlPicr8x52VJX5vzP7k6hkHJsqnaOffznq2JSzjksBHJvi2FTJHGVsyp7HpVj4c3De3t6YOXMmAgICDLelpqaiatWqRo9PTU3Fs88+i1atWqF79+5Yu3atpVI1i88++wxdunRBy5Yt8fbbbyM7O7vIMYmJiWjSpInhZ5lMhsaNGyMhIcGSqZrNl19+iQEDBqBGjRpG7z9z5gwGDx5sWOqrpGUHbM2wYcPg5eVl9L7CrysANGnSxOjreurUKcjl8gJLToSHh+PevXu4ePGiaZM2gZLa/dBDD+HFF180/KzVanHjxg0EBQUVG2/jxo3o3bs3mjVrhhEjRuDy5csmz9kUSmo3UPa/X/b2egOltz1fZmYmFixYgEmTJpV43I8//oiYmBg0a9YMr7zyCm7dumWqVE2qpM+wxMRENGzYEHK53HBfkyZNjC6Hk5ubi/Pnzxf4m+Dp6YnQ0FCH+Vvv6BITExEcHAwfHx/DbeHh4bh06RKysrKsmJntM3YuVNxnZP7vj6OfG5VVRc8zSvubY4+fQ6ZQ0c9x9mfxKvM5WZn3sKMqy/+d33jjDXTs2BFt27bFZ599ZhiYY38SlYxjUxybctSxKWcdlwI4NlUcjk051tiUPY9LsfDnZBISErB06VI8//zzRe7z8/ND7dq1MWnSJPz999949dVX8dZbb2Hv3r1WyLTyoqOj0b59e8TFxeHXX3/F0aNHMX369CLHpaenFxhIBAAfHx/cuXPHUqmaTUpKCuLi4vDss88avb9atWqoWbMmPvroI/z9998YNGgQxo0bZ7MfMOVRntc1PT0dnp6eEAShwLEA7P598Omnn8Ld3R29e/c2en9YWBjq16+P5cuXY+vWrfDz88Po0aOhVqstnGnllOfvlyO/3kuXLkWrVq1Qv379Yo9p3LgxoqKisHbtWmzcuBHp6ekYP368BbOsuAc/w9LT0+Ht7V3gfl9fX6SnpxfZ9y0jIwOSJDns33pnYOz1dpTfW3Mq7lyouN+f/L505HMjUympj0r7m+PIn0MVVdLnOPuz7MrzOVmZ97CzeLA/VSoVmjVrhh49euCvv/7CwoULsW7dOsybNw9A5f4mEDkjjk1xbOpBjjo2xXGp+zg2xbGpwux1bMqexqVY+HMihw4dwqhRo/Daa6+hffv2Re7v0qULvvvuOzRp0gQqlQp9+vRBjx49sHr1aitkW3m//vorBg0aBJVKhbCwMLz++uv4448/jH5oSJJkhQzNb9myZYiNjUVgYKDR+wcNGoSvvvoKoaGhcHNzw4gRI9C4cWOjyw7Yo/K8ro72HpAkCZ988gn++OMPzJ8/Hy4uLkaPe/fdd/Hmm2/C19cXfn5+eO+993DlyhUcOnTIwhlXTnn/fjna6w0AOp0Oy5Ytw7Bhw0o8bu7cuRg7diw8PDxQvXp1TJs2DQcOHLDZq+nylfYZlu/Bk+bCHPF1dyZ8/cqvuHOhsiwdw/4uXWl9VNL97N+CyvI5zv4sWUU+JyvzHnZ0hfuzatWq+OWXX9CjRw8olUpERUVh7NixZX6PluV+ImfBsSmOTRXmyGNTzjwuBXBsimNTxbPHsSl7G5di4c9JbNu2DWPGjMFbb71V6i/eg4KDg3H9+nUzZmY5ISEh0Ol0RaYNV6lSBenp6QVuS09Ph5+fnwWzM4/NmzejW7du5XqMo7zm5Xld/fz8kJWVBZ1OV+BYAPD39zdnmmYhiiImT56Mbdu24eeff0bdunXL/FhPT0/4+PggLS3NjBlaRnHvZUd7vfMdOHAAarUaLVu2LNfjgoODAcCmf++NfYb5+fkVuSoqPT0dvr6+kMkKnt7k32bsb4I9v+bOxM/Pz+jrJwiCQ3xeW0r+uZCx34c7d+4Y+tKRz41MpaQ+Ku1vjqN+Dpla/uc4+7N0FfmcrMx72NGV9f/OwcHBuHnzJiRJYn8SlRHHpjg2VVaO8Jo787gUwLGpfBybKhtbH5uyx3EpFv6cwOHDh/Hmm2/iyy+/RL9+/Yo97ueff8bGjRsL3HbhwgXUrFnTzBma3smTJzFr1qwCt124cAEqlarIGvIRERFITEw0/KzT6XDy5Ek0bdrUIrmay6lTp3DlyhV06NCh2GPmzZtXZLq5vb7mhUVERBRZUzkhIcHo69q4cWNIkoTTp08XONbb2xt16tQxe66m9uGHH+LcuXP4+eefS3wts7Ky8O677xY4kbp9+zZu375td++B8vz9crTXO9/WrVvRtm1bKBSKYo+5cuUKpk2bVuDq0gsXLgCAzb7mxX2GRURE4MyZM9BqtYbbivsdd3FxQf369Qv8rc/MzMTly5cRFRVl1vzJNCIiIpCamorbt28bbktISEC9evXg4eFhxcxsV0nnQp07dy7yGXnixAnD74+jnhuZUknnGaX9zXHUz6HKKOlznP1Zsop+TlbmPezIiuvPvXv3Yv78+QWOvXjxIoKDgyEIAvuTqAw4NqXHsamiHHVsypnHpQCOTeXj2FRR9jY2Za/jUiz8OTitVoupU6fi9ddfR8eOHYvcP3z4cMMfJLVajffffx8JCQnQaDT4448/sHPnTgwePNjSaVeav78/fv31VyxcuBBqtRqXLl3Cl19+iSeffBJyuRy9evXCwYMHAQBPPfUU1qxZg6NHjyInJwfz58+HSqVCly5drNuISjp58iR8fX3h6elZ4PYH256eno7p06fj4sWLyMvLww8//IDLly/j8ccft0bKJvXEE09gz5492L59O/Ly8rBy5Ur8+++/6Nu3LwBgy5YtGDJkCAD9FRo9e/bE7Nmzcfv2bVy7dg1z587FwIEDS/ygskWHDh3CunXrsHDhQvj6+ha5//jx4+jVqxfUajU8PT1x7NgxfPDBB0hPT0dGRgamT5+Ohg0bolmzZpZPvhJK+/vlqK/3g06dOoWQkJAitz/Ydn9/f2zbtg2zZs3CvXv3kJaWhpkzZ6Jr164lbrJtLSV9hnXu3Bmenp6YP38+cnJycOzYMaxcuRJPPfUUACAtLQ29evVCcnIyAP3f+h9//BEXLlxAVlYWPv30UzRu3BiRkZEWbxeVX5MmTRAZGYnPPvsMWVlZuHDhAhYtWmR4vamoks6FHnvsMVy5cgUrVqxAXl4eduzYgR07duCJJ54A4LjnRqZU2nlGSX9zHPVzqDJK+xxnfxpXmc/JyryHHVVJ/enl5YW5c+di7dq10Gg0SEhIwPfff8/+JCojjk1xbMoZx6acdVwK4NgUx6YcZ2zKrselJHJoBw4ckBo0aCBFREQU+UpJSZG6du0qLV++XJIkSRJFUZo7d67UtWtXKSIiQurVq5e0bds2K7eg4vbv3y89+eSTUnR0tNS6dWtp5syZUm5uriRJktSgQQNpx44dhmOXLVsmde7cWYqIiJCeeuop6cyZM9ZK22QWLFgg9enTp8jtD7Y9NzdXmjFjhtSpUycpMjJSevzxx6XDhw9bOtUKy38vN2rUSGrUqJHh53ybN2+WYmNjpfDwcOmxxx6T9u/fb7hv1apVUvv27Q0/Z2ZmShMnTpSio6OlVq1aSdOnT5fy8vIs2p6yKqndU6ZMKXBb/tezzz4rSZIk/fPPP1KDBg0MvwtXrlyRXnzxRal169ZSdHS09Pzzz0vXrl2zWttKUlK7S/v7Zc+vtySV/l6XJEmKjY2VvvvuuyKPLdz206dPSyNGjJBatGghtWjRQpo8ebKUkZFh9jZURGmfYWfOnJEGDx4sRURESF26dJGWLVtmeGxycrLUoEED6fz585Ik6d8jX375pdSuXTspKipKeu6556TU1FRrNY0qIDU1VRo9erQUFRUltW/fXvrqq68kURStnZZNK+lcaP/+/VLfvn2l8PBwKTY2Vtq8eXOBxzriuVF5VeY8o7S/Ofb2OWQKlfkcZ38aV5nPSUmq3HvYEZXWn3FxcVLfvn2lqKgoqUOHDtKCBQsknU5neDz7k6h4HJvi2FRhjjI25azjUpLEsSmOTTnH2JQ9j0sJkuSAu0gSERERERERERERERERORku9UlERERERERERERERETkAFj4IyIiIiIiIiIiIiIiInIALPwREREREREREREREREROQAW/oiIiIiIiIiIiIiIiIgcAAt/RERERERERERERERERA6AhT8iIiIiIiIiIiIiIiIiB8DCHxEREREREREREREREZEDYOGPiMhE9u3bh4YNGyIvL8/aqRARERERERERkZPh2BQRAYDC2gkQEZlat27dkJaWBpms6LUNM2fOxCOPPGKFrIiIiIjImJSUFHTv3h0bN25EWFiYtdMhIiIiqjSOTRGRNbHwR0QOaerUqXjqqaesnQYRERGR3XpwwEoQBHh5eaFt27Z44403EBQUVOrj4+Li0LBhQ4SGhlogWyIiIiLbwrEpIrIWLvVJRE6nW7duWLx4MZ599llERUUhNjYWhw8fNtx/7do1PP/882jTpg1atGiBiRMnIj093XD/7t270bdvX0RHR+Oxxx7D3r17C8Q/dOgQ+vTpg4iICDz33HO4e/eupZpGREREZFJTp05FQkICjh8/jtWrV+PmzZt45513yvTYr776CklJSWbOkIiIiMj+cGyKiMyJhT8ickqLFi3C+PHjceDAAfTo0QMvvvgitFotAOCFF16Al5cXtm7dis2bN+P69euYNm0aACAtLQ0vv/wyxo0bhwMHDmD48OF48cUXC5x8/fHHH/j555/x559/4sSJE1i5cqU1mkhERERkUkFBQYiNjcWlS5cAALdv38Yrr7yCdu3aoWXLlnjuueeQmpoKAOjbty/OnTuHF154AVOmTAEAJCYm4sknn0R0dDR69uyJjRs3Foh/6dIlDBgwAJGRkXjyySdx7do1yzaQiIiIyII4NkVE5sLCHxE5pA8++ACRkZEFvtq0aWO4v1u3boiOjoaLiwvGjh2LO3fu4NixYzh16hQSExMxadIkeHp6IiAgAGPGjMHWrVuhVqvx559/ombNmujduzeUSiX69++P999/H6IoGmKPHDkS3t7eqFmzJqKjow2DY0RERET2SpIkJCcnY+3atYY9aT755BNkZ2dj69at2LFjBwDgww8/BACsW7cOADBv3jzMnDkTOTk5GDt2LGJjY7F//3688847ePPNN3HhwgXDc6xYsQLz58/Hjh07kJWVhe+++87CrSQiIiIyHY5NEZG1cI8/InJIpa2jXqdOHcP33t7e8PLywvXr16FQKODj44PAwEDD/bVq1YJGo0FaWhouX76MkJCQArH69OlT4OcH73d1dYVara5sc4iIiIis4oMPPsCHH34ISZKg0WjQrl07PP300wCA6dOnQ6vVwt3dHQAQExODBQsWGI2ze/duaDQajBgxAnK5HB06dMDs2bPh6uoKSZIAAEOGDEHVqlUBAO3ateMAFREREdk1jk0RkbWw8EdETunBq6AA/VXsgiCUeCIkCAJkMlmRxxo7joiIiMgRPDhglZmZiZ9++gn9+vXDunXrcPPmTcyaNQvHjx9Hbm4uRFGEr6+v0TiXL19GtWrVIJfLDbd1794dAJCSkgKAA1RERETkXDg2RUTmwqU+icgpXb582fB9RkYGsrKyUK1aNdSsWRMZGRm4efOm4f6LFy/CxcUFQUFBCAkJKXL1+dKlS5GcnGyx3ImIiIiswdvbGy+++CKUSiU2btyIsWPHws/PD5s3b0ZCQgLefffdYh9blgEqIiIiImfCsSkiMhcW/ojIKf31119ITExEXl4evvnmGwQEBBjWWw8LC8Nnn32Ge/fuIS0tDfPnz0efPn2gVCrxyCOPIDU1Fb/99hvUajU2bNiAzz//HB4eHtZuEhEREZHFZGZm4sqVK3jmmWfg5+cHADh58mSxx9esWRNXrlwpcAX7mjVrcOrUKbPnSkRERGSLODZFRObCwh8ROSRjGyhHRkZiypQpAIABAwbg008/RatWrRAfH485c+ZALpdDEATMmzcP169fR5cuXfDEE0+gadOmeOeddwAAAQEB+P7777F48WK0atUKCxcuxNy5cw0DXkRERESOKi8vD4sWLcKdO3fQs2dPuLu74+jRo8jLy8P69etx6tQpZGVlITs7GwDg4uKCpKQkZGVl4aGHHoK7uzsWLFiAvLw87N+/H9OmTSuw9CcRERGRI+HYFBFZiyDl76ROROQkunXrhueee67EDZaJiIiInF23bt2QlpYGmUx/vaiLiwuaNGmC8ePHo0WLFli7di0++eQT5OTkoE+fPnj55ZcxdOhQZGVl4e+//8aHH36In3/+GR07dsT8+fNx7tw5TJ48GefOnUP16tXxyiuvoE+fPkhJSUH37t2xceNGhIWFAQA+/fRTHDt2DD/99JM1u4CIiIjILDg2RUTmxMIfETkdnlwREREREREREZG1cGyKiMyJS30SEREREREREREREREROQDO+CMiIiIiIiIiIiIiIiJyAJzxR0REREREREREREREROQAWPgjIiIiIiIiIiIiIiIicgAs/BERERERERERERERERE5ABb+iIiIiIiIiIiIiIiIiBwAC39EREREREREREREREREDoCFPyIiIiIiIiIiIiIiIiIHwMIfERERERERERERERERkQNg4Y+IiIiIiIiIiIiIiIjIAbDwR0REREREREREREREROQAWPgjIiIiIiIiIiIiIiIicgAs/BERERERERERERERERE5ABb+iIiIiIiIiIiIiIiIiBwAC39EREREREREREREREREDoCFPyIiIiIiIiIiIiIiIiIHwMIfERERERERERERERERkQNg4Y+IbMLkyZPRoUOHEo9ZvXo1GjZsWOQrKioKAwYMwKpVq8r0XJIkoV27dli7dq3R+7/++usC8Rs1aoS2bdti6NCh2LRpU7nbVhH79u1Dw4YNsW/fPos8HxERETmmkSNHomvXrhBFsdhj+vfvj0cffbRM8cpyzlZZ9+7dQ/PmzdGwYUNcuHDB6DHGzgmbN2+O4cOHY9euXWbNj4iIiByHNc6VjJ3HNGnSBF26dMF7772HjIyMcrWhrCp7HvfHH3+gefPmeOKJJ0yYFRGZAwt/RGR3li1bht27dxu+fvvtN7Rq1QpvvfUWfvzxx1Ifn5iYiDt37qBjx44lHrdt2zbs3r0bO3fuxPfff4/g4GCMHz8e8fHx5c556NChWL16dbkfR0RERFQZAwcOxNWrV/HPP/8Yvf/s2bNITEzEoEGDLJxZ8TZu3AgACAkJwcqVK4s9bujQoYbzwZ07d2Lx4sWoUqUKnnvuOezYscNS6RIREZEds9a50oPnMbt378bmzZvx6quvIi4uDiNHjoROpzPp81VGbm4upk6dinfffRfu7u7WToeIyoCFPyKyO1WqVEFgYKDhq1GjRpg8eTI6duyI77//vtTH7969G40aNYK/v3+JxwUEBCAwMBBVq1ZFeHg4PvzwQ7i7u2Pr1q3lyler1eLEiRPlegwRERGRKcTExMDX17fYC5B+//13qFQq9O3b18KZFW/lypXo1q0bHnnkEaxbtw5ardbocW5ubobzwaCgIERFReHTTz9FSEgIFi9ebNmkiYiIyC5Z61zpwfOYwMBA1KxZE3379sXkyZNx4sQJ7N+/36TPVxl79+5FQkICVq1ahTp16lg7HSIqAxb+iMhhNGzYEGlpaSUuzwAAu3btKnW2nzGCIAAAfH19C9y+ePFi9O7dGxEREWjTpg1GjRqF06dPAwBSUlIQHh6OnJwcTJkyBQ0bNjQ8bseOHRg4cCCioqLQpUsXvP/++8jKyioQOzc3F//73//QsmVLREdH49VXXy1yDBEREVFx8geq4uPji5xD6HQ6rF+/Hj169ICvry9u3LiByZMno127doiIiEC3bt0wa9Ys5Obmlvn58pcr37lzJ8aNG4dmzZqhQ4cO+OGHH5CRkYFXXnkFzZs3R6dOnbBkyZIij79w4QKOHDmCfv36oV+/frh58ya2b99e5udXKBSoV68erl69WubHEBERkfOy9LlSaRo1agQASE1NNdx2/PhxjBo1Cs2bN0dUVBR69+6NX375pcDjunXrhhkzZmDZsmXo3r07oqOjMXDgQBw/frzY5xJFEa+88go6deqElJSUYo9r0qQJfv31V4SGhlaydURkKSz8EZHDuHjxIqpXrw6ZrPg/bVlZWTh69Gi5C3+ZmZn4+OOPIZPJMHDgQMPta9aswcyZM/H0008jLi4OS5YsgUwmw5gxY5Cbm4vq1atj2bJlAIC33noLu3fvBgAcPHgQ48aNQ4cOHfD7779j5syZiIuLw//+978Cz/vll18iOjoaq1atwv/+9z9s2LAB3333XblyJyIiIuc2cOBA5OTk4M8//yxw++7du3Hjxg3D0lWvvfYaDh48iHnz5mHLli2YNm0aVq1ahdmzZ5f7OT///HM89thjWLNmDdq3b4+PP/4Yr7zyCrp164bff/8d7dq1w6xZs5CcnFzgcStWrECNGjXQvn171KlTBy1atCjzPs75Ll++jOrVq5c7ZyIiInJO1jhXKk7+/sY1atQAoB/HevbZZ6FQKPDbb79h48aNeOqppzBt2jRs27atwGN37dqFY8eOYcGCBfjxxx+RkZGBN954o9jnmjlzJv755x98//33CAkJKfa4oKAguLq6mqB1RGQpLPwRkd3Lzs7G0qVLsX37dgwbNqzEY//55x+oVCo0b9681Lht27ZFs2bNEB0djVatWmHNmjX46KOPEBYWZjimW7duWL9+PZ5++mnUqFEDjRo1wjPPPIO0tDScPXsWcrkcVapUAQB4eXkhMDAQAPDdd9+hQYMGmDhxIsLCwtCuXTtMnToVHh4e0Gg0hvht2rTBoEGDEBoaikGDBiEsLKzEq7WIiIiICmvYsCEiIyOLLGG1evVqhISEoG3btgCAWbNm4aeffkKzZs1QvXp1dO7cGR07dsSuXbvK/ZwPPfQQHn74YYSGhmL48OGQJAk1a9ZEv379EBoaimHDhkEURZw5c8bwGI1Gg7Vr16J///6GC7kGDhyInTt34ubNm6U+Z2ZmJj777DNcuHABzzzzTLlzJiIiIudkjXOlwnQ6HY4ePYpPP/0UjRo1QuvWrQEArq6uWLVqFT7++GPUq1cPISEheOaZZxAQEFDkebOysvDBBx+gfv36iIqKwmOPPYZLly4ZXTnqhx9+wIoVK/DNN9+gQYMGlc6fiGyLwtoJEBGV14ABAwzLbgLAvXv3UK1aNUyaNAnPPvtsiY/duXMnWrduDZVKVerzrFixAkqlEoB+IOnQoUOYPHkyhgwZgldffRWAfk32nTt3YvLkybh69Sry8vIMGzCnp6cXG/v48eOIiYkpcFvPnj3Rs2fPArc1a9aswM9+fn7Izs4uNXciIiKiBw0aNAjvvPMOkpKSEBoaioyMDGzbtg3PP/+84bxKo9Fg4cKF2L9/P27fvg1RFKFWq4ssc14W4eHhhu99fHwAAI0bNy5y2927dw23bd26FXfu3EH//v0Nt/Xq1QsffPAB1qxZg9GjRxd4jsWLFxtWVpAkCTk5OahRowY+/vhjdO/evdw5ExERkfOy9LnSg+cx+bEFQUBMTAymTp1quAhKoVDg2rVrmDVrFk6fPo2MjAwAQE5OTpFxp/Dw8ALjXX5+fgCAjIwMeHp6Gm7fuHEjPv30U8yfP7/IuBMROQYW/ojI7syZMwc1a9YEoJ/tN2zYMHTu3BmjRo0q9bG7d+8utTiYr2bNmnBxcTH8HBkZCQ8PD7z99tvo27cv6tWrh48++ghLly7FCy+8gO7du8PT0xPHjh3DpEmTSoydmZkJDw+PUnMovJSCIAiQJKlM+RMRERHl69OnD2bOnInVq1dj4sSJ2LBhA3Q6HQYMGABAf041dOhQKJVKTJo0CfXr14dSqcSnn36Kw4cPl/v53NzcDN/nD5YZu+3B85oVK1ZAkiR069atSLzVq1cXKfz179/fcP4nCALc3NwMqysQERERlYelz5UePI8B9MukHzp0CNOnT4e3t7fh9oSEBIwcORItW7bEzJkzERQUBLlcbnR1A3d39wI/GzvfyszMxJQpU6DT6XDr1q0Cx7/zzjtYv3694efp06ejb9++5W4bEVkfC39EZHeqV69eYEPhCRMm4IMPPkDfvn3RsmXLYh936dIlXLlyBR06dKjwc0dERECSJJw9exb16tXD+vXr0bt3b7zyyiuGYxISEkqN4+/vb7hKi4iIiMjcPD090atXL6xfvx4TJ07E2rVr0alTJwQFBQEA9u3bh+vXr+O7775Dp06dDI+7d++eRfJLTU3Fnj17MGXKFLRp06bAfZcuXcLEiRNx5MiRAlele3t7FzgnJCIiIqooS58rFT6Peeutt/Dwww/jo48+wowZMwy3b9iwATKZDPPmzTPM2hNFscJjSpIk4fPPP8eePXvw/vvvIzo6GnXr1gUAjB8/vkAx0t/fv0LPQUTWxz3+iMjuDRkyBE2aNMHUqVOhVquLPW7Xrl0IDg42nNBUxMWLFwHAcOKnVqsNSyfk+/333wGgyMy8B39u0KABDh48WOD+LVu24Omnn+ZSnkRERGQWAwcOxJUrV7BlyxYcPXoUAwcONNyXv8fwg+c1KSkp2Ldvn0VWG1i1ahVcXFzwxBNPoHHjxgW+Hn74YdSoUQOrVq0yex5ERETkvKx5rhQUFITx48dj5cqV+Oeffwo8r0qlKrJUZ25uboWe18fHB927d8cbb7yBkJAQvPrqq4axNH9/f4SGhhq+HnxOIrIvLPwRkc0QRRE3btwo8pWZmVni42QyGd59910kJSVh7ty5xR63e/dudOzYscz53Lx505BDcnIyNmzYgBkzZqBr165o3rw5AP0efHFxcTh27BguXLiAyZMnIyQkBABw+PBhZGZmGvaw2b9/P06fPo3c3FyMGjUKycnJeP/995GcnIx//vkHM2fOhJ+fX5mWACUiIiIqr5YtW6JOnTqYPn06AgIC0LVrV8N9ERERUCgU+OGHH5CcnIy9e/fixRdfxMMPP4z09HScPHmyxAusKkMURaxevRpdu3YtskQVoF+mqlevXti4cSNycnLMkgMRERGRtc+Vhg4disaNG+Odd95Bbm4uACA6OhrZ2dlYvHgxUlJSsHr1aixbtgzR0dE4d+4cUlJSKvRcLi4u+Pzzz3Hp0iV8/PHHJR579+5dw/iYRqOBVqs1/MyL14lsEwt/RGQzbt++jY4dOxb5mjx5cqmPjYqKwpNPPonvv/8ep0+fLnK/Wq3G/v37y7XMZ7du3Qw5PProo5g3bx6eeeYZfPHFF4Z10qdNm4bQ0FAMHz4cI0eORO3atfHuu++iZ8+e+P7777FkyRIEBARgyJAh+PPPPzF8+HDcuXMHbdu2xdy5c3HkyBH07t0bb775Jrp27YqZM2eWvcOIiIiIymnAgAG4ceMG+vXrB4Xi/s4PwcHBmDFjBo4cOYJHHnkEn3/+Od555x08//zzqFq1Kp5++mlcvnzZLDnt2bMHV65cQZ8+fYo9pnfv3sjOzsamTZvMkgMRERERYN1zJblcjnfffReXL1/G119/DUC/9+Dw4cPxzTffoG/fvtiyZQtmz56N4cOHIzU1FSNGjKjw89WvXx+TJ0/GTz/9hK1btxZ73IwZMwzjY0eOHEFiYqLh5x9++KHCz09E5iNIlli3hYiIiIiIiIiIiIiIiIjMijP+iIiIiIiIiIiIiIiIiBwAC39EREREREREREREREREDoCFPyIiIiIiIiIiIiIiIiIHwMIfERERERERERERERERkQNg4Y+IiIiIiIiIiIiIiIjIAbDwR0REREREREREREREROQAWPgjIiIiIiIiIiIiIiIicgAKaydga27cuGvW+EqlHBqNzuRxJUnC3buZ8PLyhiAIThO/LP1pq7nbanxTvkcdrW8qylif2kvu1ohfWuzKvkcduW8qKr9P7blvLCEw0MvaKdgFc59LWZu5zuXsAdvOtjsbZ2474NztZ9vN13aeT5WNI59P8feLbXdGztx+tp1tdza2ci7Fwl8hSqUc5hyLVCjME18UReTkZMHPzxcymeknctpq/LL0p63mbqvxTfkedbS+qShjfWovuVsjfmmxK/sedeS+qaj8PrXnviGyFDusWZsM2+6c2Hbn5cztZ9udx4kTJ/Dxxx8jMTER7u7uGDFiBEaNGgUAWLZsGX788UekpaUhMDAQgwcPNtxXkiVLluDDDz/E1q1bERISgpSUFHTv3h0qlarAcRMmTChTPEfjbO+xB7HtzsuZ28+2Oye23fpY+CvEEpVotdr0zyGKIrRaEWq1DjKZ5FTxS+tPW87dVuOb6j3qiH1TUYX71J5yt3T8ssSuzHvU0fumotRqnV33DRERERFReaSnp2P06NEYNGgQvvnmG6SkpGDs2LGoUaMGlEolvvrqK3z77beIiIjA4cOHMXLkSISGhiImJqbYmGlpafjhhx+M3peQkGCuphAREREVwMvtHYRMJkP16sFmm0Fhz/HtOXd7j2/PuZs7vj3nbu749py7uePbc+6WiE9EREREVFZHjx5FdnY2JkyYADc3N9SvXx+jRo3CypUrUbVqVXzxxReIioqCTCZDy5YtERYWhnPnzpUYc8aMGRg8eLCFWkBERERkHEfeHIQkSdDp9PszMb7lYjO+9WLbe3x7zt3c8e05d3PHt+fcLRGfiIiIiKg8Cu877ePjg1OnTiEqKgrt27cHAGg0Gvz5559ITk5G165di421Y8cOnDlzptjlO9944w107NgRbdu2xWeffQaNRmO6hhARERE9gIU/ByFJEq5fv2bWwVp7jW/Pudt7fHvO3dzx7Tl3c8e359zNHd+ec7dEfCIiIiKismrWrBnc3Nzw5ZdfIicnB5cvX8by5cuRkZFhOGbevHmIiorCe++9h1mzZqFRo0ZGY+Xm5uL999/HO++8U2QvP5VKhWbNmqFHjx7466+/sHDhQqxbtw7z5s0za/uIiIjIeXGPPyIiIiIiIiIicio+Pj6YO3cuPvroIyxduhT169dH//79ceLECcMxL7zwAkaPHo3du3djypQpUCqV6Ny5c5FY8+fPR0REBDp06FDkvqpVq+KXX34x/BwVFYWxY8fim2++wfjx443mplTKUWgyosNQKOTWTsFq2Hbn5cztZ9udE9tufSz8ERERERERERGR02nZsiVWrFhh+Hnz5s0ICgoqcIxKpUK3bt3Qs2dPLF++vEjh78KFC/jtt9+wZs2aMj9vcHAwbt68CUmSiiw3CgAaja58DbEzarVjt68kbLvzcub2s+3OiW23Lhb+HIixk0XGN39sxrdebHuPb8+5mzu+Pedu7vj2nLsl4hMRERERlUVeXh42btyIHj16wNPTEwDw999/o1mzZnj33Xfh6emJ119/3XC8IAhQKIoOo/3555+4e/cu+vbtW+D2/v3747nnnkNERASOHj2K559/3nDfxYsXERwczHNjIiIiMgvu8ecgZDIZatQIgUxmnpfUnuPbc+72Ht+eczd3fHvO3dzx7Tl3c8e359wtEZ+IiIiIqKyUSiXmzJmD+fPnQ6vVYvfu3Vi3bh2GDx+O1q1bY/ny5di3bx90Oh0OHz6MDRs2oGvXrgCALVu2YMiQIQCAESNGID4+HmvXrjV8AcDChQvx1FNPwcvLC3PnzsXatWuh0WiQkJCA77//Hk899ZTV2k5ERESOjTP+HIQkScjLy4WLi6tZrhiz5/j2nLu9x7fn3M0d355zN3d8e87d3PHtOXdLxCciIiIiKiuZTIbZs2dj2rRpWLp0KapVq4ZPPvkE4eHhCA8PR0ZGBqZMmYKbN2+iWrVqGDduHAYOHAgAuHv3LpKSkgAAnp6ehhmDDwoICICnpyciIiLwxRdfYM6cOXjnnXfg5eWFZ555BsOHD7doe4mIiMh5CJIkSdZOwpbcuHHXrPFVKrlZ1ngVRRGpqVdQvXqwWWZS2Gr8svSnreZuq/FN+R51tL6pKGN9ai+5WyN+abEr+x515L6pqPw+tee+sYTAQC9rp2AXzH0uZW3mOpezB2w72+5snLntgHO3n203X9t5PlU2jnw+xd8vtt0ZOXP7LdH2lLvJuJ17q8zH+7n6I8Srphkz0nPW1z3lbjIydXeg1YhlOt5Sr4el2Mq5lFPM+Nu3bx8mTJiAevXqAQA6deqEMWPGWDkrIiIiIiqv3Fxg3ToF/vxTgTt3BFSpIuHhh7Xo21cLV1drZ0dERGR/HvxszciQwcdH5GcrERHZhZS7yWi3vDnydHllfoyL3AV7hxx2qGKTrXCG12PGjHehVudh+vSZ1k6lRE5R+AOAtm3b4osvvrB2GkRERERUQZs2yfHyy27IyBAgk0kQRf2/GzYo8b//SZgzJwc9e9rOFZXvvvs/xMdvxrffLkHjxuEF7uvYsSUUCoVh9qurqxsaNWqCF154BfXq1bdGukRE5ISMf7bKbPazlYiI6EG3c2+Vq8gEAHm6PNzOvWU3hSZ7Yguvx8CBj+LGjeuQy+WG2/z8/NG5c1eMGjUO7u7uJnme8jh9+iSmTXsLPj6+WLhwsUWe0/7W2aJiKRRKxrdCbMa3Xmx7j2/PuZs7vj3nbu749py7JeKT49q0SY7hw92Qman/WRSFAv9mZgLDhrlh0yZ5cSEsKjMzE7t2bUe3bj2wYcM6o8fMmvU5tm3bg23b9uC339aiTp06ePXVl5CVlWXRXImIyDnZ22crERERUVlMnDjJ8H/trVv/xscfz8b+/f9gzhzLTwyLi/sTb701CSEhtSz6vDZb+Nu1axfat2+PiRMnFrj9ypUrGDNmDNq0aYOuXbvik08+gSiWvl7s2bNnMWbMGDzzzDNITEw0V9pWI5PJEBRUzWx7JtlzfHvO3d7j23Pu5o5vz7mbO749527u+PacuyXik+PKzQVeftkNACBJgtFj8m9/+WU35Oaa9vk7dmyJ+PjNGDXqGXTq1BaTJo3H9etpePXVl9GjRyeMHDkUqalXCzwmLm4jGjRohIEDn0R8/Gbk5ZWclKenJ154YTyysu4iIeGoaRtARERUiLU/W4mIiIgsQRAE1K0bhqFDR2Dnzu0A9DPwXnhhNHr16oJHH43Fp5/OhFarBQAcPnwQPXt2xj//7MGQIQMQE9MRr776MjLzr5QqZN68LzF8+GBkZxu/gFetzsPChYvRpEm40fvNxSZH3r799lt88MEHCA0NLXLfyy+/jKCgIMTHx2PRokWIj4/HkiVLAAArVqzAE088UeDr9OnTqF27Nl566SUsXLgQkyZNwv/+9z9LN8nsJElCdnYWJElifAvGZnzrxbb3+Pacu7nj23Pu5o5vz7lbIj45rnXrFMjIEIodmMwnSQIyMgSsX2/61ezXrFmFjz76AsuW/YpDhw7g9ddfwbhxL2LNmj8hiiJ++WVpgeP/+GMdevZ8GJGRTeHl5YPt27eV+hySJEGSJMhknFlBRETmZQufrURERESWotFoDN+/884UtGjRChs2bMW33/6Iv//ehTVrVhruz83NRXz8ZixYsAjLl6/ChQvnsH7970Vi/vnnH4iL24RPPvkSHh6eRp/3kUf6ISAg0PQNKoVNnrm5uLhg5cqVmDFjBvLy7q8Jm5CQgNOnT2PRokXw8vKCl5cXRowYgSVLluDZZ5/FoEGDMGjQIKMxH374YQBAVFQUbt26BUmSIAgln+DaE0mSkJ5+B25u7mZplznjyy+cg+LPDbh95zYCtDr9TBBBAGQySDIZIBMA6H9GofsUChnk4gP3yWWQFEpAqYSkVAIKBUSFAtd1Wvh4ekFQqgDlf/crFP/9W+hnlQvg6gLJ1Q1QqfTPZ6W+sff49py7uePbc+7mjm/PuZs7vj3nbon4ZJ/WrVPgo49UyMoq/j1x544AQAJQlveNhNdec8UHHxRfYPb0lDB5shqPPqotc54xMT0REBAAlUqOWrVqo2HDRmjQoBEAoFmzFkhK+tdw7OnTJ5GUdAnduvWAIAjo1as3NmxYh549excb/+7du1i0aCGqVPFDZGRUmfMiIiKqiPXrFRAEqdTCHwDIZBI2blRg0KCyf24SERGR41l3/nd8tH8GsjTGZ7dpdOoKxR28vj+UcpXR+zyVnpjcZioeDetXodiiKOLChXNYtmwJYmN7AQAWL14OpVIFuVyOatWqoWnTZjh9+pThMTqdDkOGDIO3tze8vb0RFRVd4P/8AJCQcAxz5nyB2bPnoWrVoArlZk42WfgbNmyY0dsTExMRHBwMHx8fw23h4eG4dOkSsrKy4OlpvKq6YcMG3L59G8888wzOnz8PPz+/YgcclUp5aXWeSlEozHMFtygKUChkUKnkZllCzdTxhRvXoVzxG1TLl0J+IgE6Dw8omzWHy/XrkOl0gCgCkgRBFPXfQ9L/m/8lSYAoQZBEqMT843SATgdoNBC09/9DIspk8KxVCz6XL0NWhmVhHyQJAuDqCsnF9X4x0NUVkqur4V/RxRV3A/zho9VB9t9tkrs74OEJycMDkocH4OEB6b+f4ekJyd1d/7OnB+DhqS9GFsPSr60p36P29r40V3xjfWovuVsjfmmxK/sedeS+qaj8PrXnviH7NXeuCufOmfL8SEBuLpCaWvIJ3dy5qnIV/oKC7p/Iq1QqBAZWLfCzWn3/YrX169egXbuO8PbWn7P27Nkbixd/hytXUhAcHGI4bvLkVw2/C+7uHmjSJAJffDEX7u4eZc6LiIioNJIEJCcL2L9fjgMH5Ni/X47ERBnKdkGN/hxOfxEOERGRYzh+4xga+4VDKS9+TJaKmnv0S5xLP2vyuDdzb5b8vEe+LFfh74svPsFXX30OQF/Ec3Nzw8CBgzFixGgAwMGDB7B48bdITr4MnU4HrVaLrl27F4hRo0aw4XtXV9cC23dcv56Gt96ahMceG4D69RuWOS9LssnCX3HS09Ph7e1d4Lb8IuCdO3eKLfx17twZr776KjZt2gSdTof33nuv2OfQaHSmS7gYarXpn0MURWi1ItRqHWQy0y+hZpL4ajVUWzbD9ddlUMXHAYIAdc/eyHptMnI7d8XdjDu4XT24XIPBKpXceH9KEqDVAhoNJHUeMlKv4pZvFX1RMb8wqNFA0GoAjQbQaA3fC2o1kJcLIfe/r7xcIDcPQm4OhLw8IDcHQm7ef7fnQsrLhZSVBVy/ASE3B7LcXAj37kHIztb/ey+71HZIKtX9YuB/xULJ0xuStze0Pj5Q+PtD4eoGwccHorcPJC9vSD4+kLy9IRq+9wEU5f+VNvbamuo9ahfvSwvFL9yn9pS7peOXJXZl3qOO3jcVpVbr7LpvyH699JIas2aVPuNPv7dQ2Wb8uboCVaqUPOPvxRfLdyWiIMgK/Ww8l/wlQdRqNXr06HQ/K0nCxo3r8dxzzxtumzXrc7Rt275ceRAREZVGowFOnJBh/365odh37VrFL7qSyaQSP1eJiIjszavbX8a7e6aiS81uiAmNRbdaPVDVvWrpD3RyLzWbgFn7Pihxxl9pRTxjAlwDSpzx92Kz8eWKN3HiJPTrNxAAsH//P5gy5TX07NkbCoUCSUn/4u2338RLL01E37794OLiivfff9uwx1++klaqOnkyET169MLq1b+hX78Bhhl/Tz3VH2lp1wAAw4aNNBQarcGuCn8AKrQvkKenJxYuXGiGbGyLi4urTcaXnz4F1x9/gOvqFZDdvg1NdDNkvT8LeY8PgOTnrz9IFOGSm2O6ZAXh/pKerq5QabUQ/fz1y4GamCiK0N6+hQw/f+NFS1EE8guB2Vn3C4L53xd32927kGVmQHEtFV4yAa7JyVBkZkC4d6/YXCR3d31h0NsbkrcPRD8/SFX8IFbxg1SlCsQqfgVv8/OD6O1j1veOrb4vbSG+Pedu7vj2nLu549tz7paIT/bn0Ue1pc68++03BV56ya2MEQV89lmO1ZYj++uveMjlCixZ8mOB84KtW+Owdu1qjBo1ljNeiYjIpO7cAQ4evD+b78gROXJyih+skskkVK8u4cqVsn0eiaKA3r25zCcRETmWTHUG1l34Hesu6Pduiw5shu6hsYgJjUV0YHPIufd6EY+G9Stx5t3xG0cRs+Khcsf95dHViAqMrnhiJWjdui06duyMjz76AF9//Q3Onj0NlUqFQYMGA9DXm86ePYO6dcPKHLNTpy6YOnU6pk59Ex9+OB1ffDEXgiDg559XFz9RycLsqvDn5+eH9PT0Arelp6dDEAT4+fmZ5DnsdalPQI4aNaqZKXYF4qvVUP6xDqrvvoViz26IgYHQDB0G9VNPQ2zcBABQcCJ1xfIvW39au2/kgKsP4Odj9F7pv6+SeAIwlPs0GgiZGRAyM4GMDAgZ+u+FzELfp6dDdvs2hKRLEI4cgnD7FoQ7dyDoiv7hqerqCum/giD8/e8XCAOrQgoMhFi1KqSAQMP38PEtde/D/Lbb1PvSSvGNv0/tI3frxC85duX/jjpu31TU/T61574hR9a3rxb/+5+EzEyUuBeRIEjw9ka5lvA0tfXr1yA2thdq1QotcPvjjw/EkiXfY//+fzjLj4iIKkySgIsXBUORb/9+Oc6eLfn82NNTQosWOrRurUOrVjq0aKGDUglERnraxWcrERGRqXUN6YYjNw4jPS/dcNvRG0dw9MYRfHbwI/i7+qNrrRj0CO2JLjW7oYqraWoPZB3jx7+GIUMGYu3a1ahXrz7y8vJw7twZBAVVx9Kli6BUqnDz5s0yTzqTy/UXT73++hQMG/YkVq/+DQMGPGnOJpSbXRX+IiIikJqaitu3bxsKfQkJCahXrx48PEyzF4q9LvUpSRLu3s2El5d3idNQzR1flpIM158WwW3pj5DduA51+47IXLgIeb0fBVT/Tdc10v7K5F9af9pK35guvgzwqqL/Ci714QWJIoS7mRBu34bszm0I6Xcg3LqFrDu34HMnHfI7tyHPuAPcvAXZxYuQ3bwB2c0bEDSagjkplRADAiEGBEIKCIAYWFX/c2BViAEBEAMDIVatBl1QNWQqFfDy8XWQvq+4wu9Te8rd0vHLErsyf0cdvW8qSq3W2XXfkGNzdQXmzMnBsGFuEATJ6AClIOhP0OfMyYGrlSaWXr78L44fP4qJEycVuc/b2wcdO3bGhg3rWPgjIqIyy80Fjh3LX7JThoMH5bh5s+SZerVqiWjZUl/oa91ah8aNRciN1Abt4bOViIjIHP7X7l008Y/AobSD2JoUh/jLcThx87jh/lu5t7Dy7K9YefZXyAQZWga1RkxoLLqHxiLCP5JjGnbGz88f48a9iPnzv8LSpSvQv/8TeOmlMXB1dcPw4aMwfvzrePPNiZg27S306zegzHF9fX0xadIUTJ8+Fa1atS1yATBwf/lPnU6/xU63bvrxgOXLV6Fateoma2NhglSRtTMtZPLkycjLy8MXX3xhuO2JJ55A/fr1MWXKFKSlpWHMmDEYOXIknn76aZM8540bd00SpzjmmuopiiJSU6+gejn3yDNVfMXRw3Cb9xVc1q2B5OGJvCcGI2f4KOgaNTZJ/OKUpT+t3Tf2Fr9In0oShIx0yG7ehOzGdQg3b0B24wZkN64bbpPdvAEh/+e7mfdjy2RIqlMHIWoNEFQNYrXq0FXT/1vwqxokL+8yziIsPndTM1V8Y+9Te8ndGvFLi13Zv6OO3DcVld+n9tw3lhAY6GXtFOyCOc+lNm2S4+WX3ZCRIUAmkyCK9//18ZEwZ04OevY070VctrJshzWw7Wy7s3HmtgPO3X5rtv3GjYKz+Y4fl0GtLv7/SQqFhMhI0TCbr3VrHapVK/swj6U/W3k+VTbmHpuyJv5tYdudkTO339xtr+jSkvGDdhZZWjI16yq2Xt6C+KQ47Ej5C9nF7GNXzaM6Ymrpi4CdQ7rAU2X8s80ZX3dTvh72ytyve1nPpWxyxl9kZCQAGDZUjI+PB6Cf3ffVV1/h7bffRocOHeDp6YnBgwdjyJAhJntue13qUxQFKBT6oo15BmuNxBdFKLbEweXrL6HYvRO62nWQ+9GnUD/1NODpCTmAsra2ovmXpT+t0jd2HN9on1YN0H+hkf4x/30ZlZsL4cYNyK6nQbp6FeorydDcuAFFaipk11Kh2LMLwtVUyNLvFHiY5OEBsVp1SNWqQ6xRHWJITUghNSGG1IQYEgIxpCbgU3C5VHvpe2N9ai+5WyN+abEr+3fUkfumovL71J77hpxDr146JCRkYf16BTZuVODOHQFVqkjo3Vu/TyBnIxARkT0RReDsWZmhyHfggByXLpV8juTrK6FVq/tFvuhoHdzdK55D4c/WjAwZfHxEfrYSEZFd8HP1h4vcBXm6vDI/xkXuAj9X/yK3V/esgaFNhmNok+FQ69TYl7oXW5I2Y2tSHM6lnzUcdy07FUtPLcHSU0uglCnRtnp7/d6AtWJRv0oDp54NaMrXgyrHpmf8WQNn/JUhvijC5feVcP/qcyjOnIamRUvce2E81L0fgdH1Q8obnzP+rBrflO/REnPPyYEs7Rpk165BnpYKWepVyK5dg+ya/nv5lRTIrl6BoL2/l4To5Q0xJAS64BCIwTWhCQlBcmAgqtcJ0xcJq1UHlEqYCmf8WSc+Z/xZPjZn/JUNr1AvG0e+Qh1wzqs287HtbLuzcea2A87dfnO1PTsbOHJEbpjRd/CgHBkZJQ8O1q0rGpbsbNVKh/r1RZjzNMpWrlJ3do58PsW/LWy7M3Lm9lui7Sl3k7H2/O+YvncqAKBVtTaY2emTYo/3c/VHiFfNcj3HvxmXsPXyFmxNisPuKzuRq8s1elwt79qIqdUDMaGx6FK7CxSSS7mexxGk3E1Gpu4OtJpip40UUJHXw5bZyrmUTc74o/ITBAHu7h5mu6JAEAS4u7jCdeWv8PjiEygunEdej57I+mQ2NG3alXuJRqPxzZS/RfqG8csf280NYu06EGvXQbHbxOt0kF1PgywlWV8ITEmB/EoyZFdSoDh0AKp1qxEkk6HK7dsQJAmSTAaxRjB0obWhC60N8b9/9V91IPn7l+u9yveldeLbc+7mjm/PuVsiPhEREZEtuXr1/rKdBw7IkZAgg05X/HmQi4uEpk3zi3wiWrXSISCA12oTERGVJMSrJrYkbTL8/FrLN0y+bGRtnzoYFTkGoyLHIEebg7+v7ER8Uhzik+Jw+W6S4bjLmf/ihxPf4ocT38JV7ooOwZ0QE9oTMaGxCPWubdKcbFWIV02oVLWdtthtKzjjr5D09HtmX+pTq7WzN71OB+XK3+DyyUeQnz8HTa/eyJ38FsToZtbOzD7708bZXZ9mZUF2JQWylGQIycmQXU6C7N9/Ifv3kv7f27cMh0qenhBDa/9XcCz0b61QwMU8V+HYXZ/aOPan6bFPy8bHpxLraDkRR75CHeDVumy782HbnbPtgHO3vyJt12qBU6dkhiLf/v1ypKSUPDUvIEA0LNnZurUOUVGiuf5LUma2cpW6s3Pk8yn+bWHbnZEzt98SbT9xMwHdfusAAKjnWx+7nzoAmWCZVYYkScL59HP6IuDlOPxz9W9oRI3RY+v7NtAvCRoai7bV20MlV1kkR2vge97651Kc8VeIRmP+N6Q5XnhJkpCefge+vlVMOpNC+ddWeL47FfLTJ5Hatx9c530LXXRz/Z0mbEdl8i+tP83VN44c31TvUYvknp0D39r1INSpb/QYITMDsqQkyJP+/e/rkv7fPzdClXwZgkb/YSzJZBBDakEXFgZtWD3owupBWycMt6pVg3eDRhAUlftzWbhPHfF9Y8nYlXmPOnrfVJRarbPrviEiIiKypMxM4ODB+0W+w4flyM4u+fymUSNdgf356tSRzHrhMRERkTP47vgCw/ejIsdarOgH6Fc2ql+lAepXaYDno1/CXXUmdqbswNakOGy9HIfU7FTDsefSz+Jc+lksODYHHkpPdA7pipjQWHSv1QPVPWtYLGdyDiz8OQhJknDvXjZ8fHxNMpgqP5kIz+lTofprKzRt2uH2hi24Xr26fl8mE+RbmKnzt1Rsxrde7LLGl7x9oIuMgi4yquidOp1+P8HLSZBfvKD/On8Oqp3bIV/yAySdDhm1asH/2jVIdepCV/e/gmBYPcP35V0+tDy5V4Y9x7fn3M0d355zt0R8IiIiInOQJODyZQH7999ftvPUKRkkqfjzGXd3Cc2b3y/ytWihg6+v5XImIiJyBrdybmHVud8AAF4qbzzZaIhV8/FSeaNP3UfRp+6jUCplOJJ6DFuT4rAlaTMOpu2HKOn3vcvWZGHjpfXYeGk9ACDcPxIxobGICe2JFkEtoZCxbEOVw3cQFSDcugWPGe/CdflP0NWug4zFy6F+uA9ESQJSr1g7PSLTksshhtSEGFITmvYdC96n1QKXk5CVeBzZV69CefEC5BcuwGX1CrinJBsOE6tUgbZhY+gaNIK2USP9vw0bQ6patdJ7XxIRERERkeWp1cChQzLDbL79++W4fr3kS2CrVxcNS3a2aqVDeLgIpdJCCRMRETmppScXI0+XBwAY0vgZeCo9rZzRfYIgICIgEhEBkRjf4jXcyb2N7cnbEJ8Uh22Xt+BW7v3tiRJvJSDxVgK+PPwZfF180bVmd3QPjUW3Wj0Q4BZgxVaQvWLhrxClUm72Pf7MQRQFKBQyqFRyyGQVmJMnilD+tASu774DQRSRO/NjqEeOBpRKqACIoli5+GbKvyz9Wem+cbL4pnyP2nXfqOQQG9QDPFyhCw6B9GD8e/cgu3QRsvPnID9zBrIzp6A6uA+uvyyFoFbrc/OtArFxY+gaNgKahEPeoAHERo0hBVUDBMG++8bM8UuLXdn3qCP3TUXl96k99w0RERFRRd2+rV+2M38235EjcuTmFj8wIJNJCA8vuD9fcDCX7SQiIrIkjU6DH058CwAQIGBUxBgrZ1SyKq5+eLz+QDxefyB0og5HbxxGfFIctibF4eiNI4bj0vPS8fv5Vfj9/CoIENA8qAW619LvDRgVGG3RpUzJfrHwV4g97/Hn5uYJjUaEIEjleqz8RAK83pgI5cH9yH1yCLLeeR9SYCAgwbCPX2Ximzv/suzxZ6u522p8U+7x52h9AwBQuAD1G+u/Hn7gAVot5P9egvzMaSjOnIL87GkoDhyA/OdlcMnTX30k+vpC17AxNOER8G3cBFJEFNSNwwF3d8vkbgfxyxK7snv8OXLfVFT+Hn/22jdEREREZSFJwIULgqHIt3+/HOfOlXxhmZeXhBYt7hf5mjfXwdN2JhQQERE5pY2X1iM1+yoAoGfth1Hbp46VMyo7uUyOFkGt0CKoFd5s/T9cv3cd2y5vQXxSHLYnb0OmOgMAIEHCobSDOJR2EB8f+BABboHoXqsHYkJj0aVmN/i4+Fq3IWSzBEmSOPL2gBs37po1vkolN0vhr0LUarh/8QncZ38KXb36yPr4C2jadbB2VuViU/3pINinpqeSSdCdvwD56f8KgqdPQpF4AvLz5yCIIiSZDLq6YdCGR0IXHgFteAS04ZEQq9fgcqFG8D1qeuzTsgkM9LJ2CnbB3OdS1ubMvy9sO9vubJy57YDjtD83Fzh69P5svgMHZLh9u+Qr5UND9bP58mf0NWokQm6exXtsjrlfd55PlY0jn085yt+WimDbnbPtgHO335xt77O6Bw5c2wcAWNl3HR4K6WKW56moirZdo9PgYNp+xCfFIT4pDqduJxo9Ti7I0bp6W8NswMZ+TSDYyDgi3/PWP5di4a8Qey38iaKI27dvwc/Pv0zLp8lPJsLr5XFQnErEvQmv496E1wGVymTxy6ui8cvSn7aau63GN+V71NH6pqKM9akoiridehVVr6dBdTIR8sQEKBJPQJF4ArJM/VU9YpUq0IZH6guBkU2hjW4OXVg9lGXUwV76piKxK/sedeS+qaj8PrXnvrEEDlSVjSMPVAH8Dwzb7nzYdudsO2C/7b9+veBsvuPHZdBoih8EUyolREWJaNny/oy+mjVldtl2U7CVwSpn58jnU/b6t8UU2HbnbDvg3O03V9uPXj+M2JVdAACN/Bpjx5P/2EzRK5+p2n7lbgriL+uXBN2Zsh33tPeMHlfDIxjdQ2PRI7QnOoY8ZNX9Dvmet/65FJf6LMSe9/jT6dSl75skilDN+RKuH7wHMSwMWfHbIUY3Q/Elv3LGr6CKxi/rHn+2mLutxjf1Hn+O1DcVZaxPRVGATiFA1qolxDatIQLQAIAkQUhOhvxEguHLJW4T3L+ZBwCQPD2hi2wKXbNm0DVrDl2z5hDrhgGF8rOXvqlIbFPs8eeofVNRD+7xZ699Q0RERM5HFIHTp2WGIt/+/XIkJZV8jlGlimSYydeqlQ7R0Tq4uVkoYSIiIjKJ7xK+MXw/OnKczRX9TCnYKwTDw0diePhI5OnysPfq39iaFIf4y3G4kH7ecNzV7Cv46eQi/HRyEVQyFdrV6ICYUP1swDDf+lZsAVkDC3+F2Osef6IoQqsVoVbrIJMZn8Qp3LoFr5fHwiU+DvdeHI/syVMBFxfDPn6VjV8ZlYlflhl/tpq7rcY35Yw/R+ubijI246/Y2NWC9V8xvQw3CRnpUBw/BsWxo1AcOwLlhj/gMm+OPpaXN7RRTaFt2gza6GbQNG0Gba1Qu+mbisSu7Iw/R+6bisqf8WevfUNERESOLysLOHLk/rKdBw/KkZlZ8kBfvXo6tGolGmbzhYWJha+ZIyIiIjty/d51rDm3CgDg6+KLgQ2etHJGluMid0GXmt3QpWY3vI9ZuJhxQV8ETIrDnqu7kafLAwCoRTV2pPyFHSl/4e2/p6COT13E1IpF99BYtK/REa4KVyu3hMyNhT8nodj3D7zHPgshNwfpv6yCplsPa6dEROUg+fhC06kzNJ06G24T7tzWFwKPH4Xy6BG4rF8D93lfAQC0/v7I6NIN7vUbQteyNbTNW0Dy5LI6RERERGQ/rlwpuGxnYqIMOl3xhT4XFwnR0feX7GzZUoS/Py82IiIiciQ/Jv4AtagGAAxtMgLuSncrZ2Q9dX3CUDfqeTwX9TyyNdn4+8pOw96AKVnJhuMuZVzEtwkL8G3CArgr3NEx+CF0/282YE2vWlZsAZkLC38OQhAE+PpWMTqt2fWHb+H5vzegbdEKmQsXQawRbNL4pmDO+Pacu73Ht+fczR3fFLGlKn7QdOkGTZduyMmPe/MmlMcOQ37oIAISjsJ93teQZ2ZAksmga9QEmhatoGnVGtqWrfX7BVbw+W29bxw1vj3nbon4REREZL+0WuDkSZlhyc4DB+S4cqXkqXmBgaJhyc7WrXWIihJL2rqeiIiI7Jxap8bixO8BADJBhpERz1k5I9vhofRAbO2HEVv7YUiShDN3TiM+Sb834L5re6EVtQCAe9p7iEvahLikTQD0eyR2r6UvArau1hZKudKazSATESRJ4uVvDzD3BsoW3dhSq4Xn1Dfh9sO3uDfmeWRP+wBQOtYvrjNvFGou7FPTs2qfiiLk585CeXA/FIcOQHlwP+RnTkOQJIi+vtC0aAVtqzbQtG0PTfOWgKvtT/Xne9T02KdlU9YNlJ2duc+lrM2Zf1/Ydrbd2Thz2wHztz8zEzh48H6R79AhOe7dK/7iIEGQ0KiRaCjytW6tQ2ioVNHr2ErkzK+9udvO86myceTzKf5+se3OyJnbb+q2rzz7K16I1xf7Hqn7GH7o9ZPJYpuaLb3umXkZ2JHyl74QeHkLrt9LM3qcl8obXWp2Q0ytWHSrFYMgj2oVej5barul2cq5FAt/hdhr4U8URdy4cR2BgVUhk8kgZKTDe/RwKP/ehaxZnyF32LMmjW9qFY1flv601dxtNb4p36OO1jcVZaxPrZm7kJkBxeFDUB7cry8IHjwAWWYGJJUKmuYtoWnXHpq2HaBt1brY5UHNmX9psSv7HrWX940lY+f3qT33jSVwoKpsHHmgCuB/YNh258O2O2fbAdO2X5KAf/8VDEt2Hjggx+nTMkhS8VU7d3cJLVrcn83XooUOPj4mSadUzvza28pglbNz5PMp/n6x7c7Imdtv2vMJCb1WdcWR64cBAGv7/Yl2NTqYJLY52OrrLkoiTtw8blgS9FDaAUgwXiKKCoxGTK0e6B4ai+ZVW0Iuk5fpOWy17ZZgK+dSXOqzEKVSbpYrBvMpFGX75SgvURQA6KBSySG/cR0ej/eFcPUqslevg/hQZ1R2tZMH45tnMLhi8cvSn7aau63GN+V71NH6pqKM9alVcw/wA2J7QBvbA1oA0OkgO5kIxZ6/odjzN9yWLoHHF59Cksuhi2oKXfsO0LbvCF27dpD8/M2ef2mxK/setZf3jSVj5/epPfcNERER2Q61Gjh+XFZgf74bN0r+7A8OLrhsZ5MmIhQcsSAiIqL/HEo7YCj6RQREoW319lbOyD7JBBmiAqMRFRiNV1u+gVs5t/BXcjzik+Lw1+V43Mm7Yzj2+I2jOH7jKD4/9An8XP3QtWYMYkJj0bVWd/i5+luxFVQankYXotGYvxJtrhl/Wq0I7bkL8H7ycSAvD+nrN0PXsBFggufLj69W6yCTmX6SaGXil2XGn63mbqvxTTnjz9H6pqKMzfizqdwbhuu/nh0DSBLkF85Dufdv/dea3+Ey92sAgLZxONQPdUZep87Q1a1rlvzLkntlZ/zZVN/bSOz8GX/22jdERERkPbduCThwQGYo8h09KkdeXvFX1MrlEsLDRcOSna1a6RAczHMDIiIiKt53CQsM3z8XOQ6COWfvOBF/N38MbPAkBjZ4EjpRh8PXDyI+aTPik7Yg4eYxw3G3c29j1bnfsOrcb5AJMrQIaoWY//YGjAiI4uthY1j4cyCylGT4jhkJuLggff1miLVCrZ0SEdkjQYCuXn3o6tVH7jMjAACyy0n6IuCe3XD5Yx1cv10A7zp14BtQFdpOnaF5qIt+j0BVZecXE5EpHDhwACNHjixwmyRJ0Gg0OHPmDDZu3Ij58+cjJSUFVapUQd++ffHKK68YnYmZl5eHGTNmYPv27cjLy0ObNm0wffp0VKlSxVLNISIiGyJJwPnz+tl8+hl9Mpw/X/KKDN7eElq2vD+br1kzHTw9LZQwERER2b3UrKtYd2ENAMDf1R+P1x9o3YQclFwmR6tqbdCqWhtMafMOrmWnYttl/WzA7cnbkKXRL0UtSiIOXNuHA9f2Yeb+9xHkXg3d/1sStEvNrvBXcbzA2rjHXyH2usefcPECXJ98HC5ubshYsQ5SUJBJ40uShLy8XLi4uJqlel/R+GXpT1vN3Vbjm3rtbUfqm4oy1qf2knsxwSG7eB66HdvhvXsnVLt3QJaeDsndA+r2HaDp1AXqh7pA1yQcFVk7ubTcK/setee+N1fs/D61576xBHvfk2bBggU4ffo0nn/+efTv3x9z5szBQw89hKSkJAwfPhzjxo3D008/XeRxs2bNwoEDBzBnzhy4ubnh7bffhkajwYIFC4w8i2PvSQNwrwK23fmw7c7ZduB++3NygKNH5QX257tzp+TP8dq1RUORr3VrHRo2FGFPq3w782tvK/vSODtHPp/i7xfb7oycuf2mavusfe/j80OfAAAmtngdU9q8U+mY5uZor7tap8b+a/8gPikOW5PicObOaaPHKWQKtKvRHt1q6mcDNqjS0C7HgCrKVs6lWPgrxB4Lf7KUZPj27QXJxQXpazdBqlrVpPFtmaP9AbUF7FPTc/g+1emgOHEcyh3bodq5Hcr9eyHk5kJXrTrU3WKg7t4Dms5dIXn7mOTpHL4/rYB9Wjb2PFB19epVPP744/j999+xf/9+fPzxx9izZ4/h/okTJ8Ld3R0zZswo8DitVou2bdvio48+Qvfu3QEAFy5cQJ8+fbBjxw4EGbnQyJEHqgDn/n1h29l2Z+OsbU9LE7B/vxyHDimwb58Mx4/LoNEUP1ijVEqIirq/P1+rVjoEBdn3MIOzvvaA7QxWOTtHPp/i7xfb7oycuf2maHuuNhfNf2qCmzk3oZApcGjoCVT3rGGiDM3H0V/3y5lJ2Hp5C7YmxWHXlR3I0eYYPa6mVy10r9UDPUJ7okPwQ3BXuls4U8uylXMpLvVp54SbN+Ez4FGIcgVOf/MDqgYEwBwXUoqiiGvXrqJatRpGlwGz5fj2nLu9x7fn3M0d355zLxJfLoe2aTNomzZDzisTgdxcKPf/A9W2eKi2xsFt+U+QFApoWrWBunss1N17lDgb0KH6hu8bi8an4n355ZcYMGAAatSogdatWyM3NxcbN25ETEwMkpKScPDgQbzzTtErJi9fvoy7d+8iPDzccFtYWBhcXV2RmJhotPBHRET2Q6cDTp+WGWby7d8vx+XLJX9G+/npi3wtW+r/bdpUBzc3CyVMRERETmfN+VW4mXMTAPBo3cfsoujnDGp5h+LZiNF4NmI0crQ52Ht1N+KT4rAlaTOSMv81HJd89zIWJ36PxYnfw0Xugg7BnRBTKxbdQ2NRx6eu9Rrg4Fj4s2c5OfAZNhiyrCzc+iMOOpXSrE9n7smh5oxvz7nbe3x7zt3c8e059xLju7rq9/x7qAuy3/0AsuTLUG3dAtXWOHh8/hE8P5gGXfUaUHfvoS8Edu6Kwpu8OGzf2HhsR4hPRaWkpCAuLg5xcXEAgBo1auCzzz7DxIkTMXHiRADA6NGj0aNHjyKPTU9PBwB4e3sXuN3b2xt37twxb+JERGRyWVnA4cNyw/58hw7JcfduyUsv1a9/f8nOVq10CAuTKrKaOxEREVG5SZKEhcfnG34eHTXOitlQcdwUbuhWqwe61eqBGR0/RvK9S9h4fiPik7Zg79Xd0IgaAECeLg/bLsdj2+V4YPcbCPOth5jQnoipFYu2NdrDRe5i5ZY4Dhb+ClEq5Wb9T4xCUfKm52UminCb8AIUiQnI/mMTFPXDoLiSApVKbqZZGgIUCpnNxS9Lf9pq7rYa32TvUSOxTc1e4hvrU3vJ3STxw+pADBuD3DFjkJuXB8We3VBsiYNqSxzcli6B5OICbZdu0PR5FNqHH4bOP6DE2JV9j9pU39hI7Pw+tee+oeItW7YMsbGxCAwMBKBfqnPSpEmYOXMmunbtin///Rfjx49HUFAQhg0bZjRGeQq25j6XsjZTfk7aG7bdObHtlpWbC6xZI8eGDfp99KpUkdCnjw79+ung6lq+WJIEpKQI2LdP9t+XHCdOCBDF4v9Iu7pKaN5cRJs2Itq3B1q00MDP78EjnOPzm+97IiIi27AvdS9O3DwOAGhWtTlaBrW2ckZUGkEQUK9KfYxr+hLGNX0JWZos7ErZYdgb8Gr2FcOxF9LP40L6eXxzbC7cFR54qGYXxNTS7w1YwzPYiq2wfyz8FaLRmH/dXVOs8er+0Qwo16xG5vc/QR3ZDKJaB61WhFqtg0xm+tkUoijabPzS+tOWc7fV+KZah9gR+6aiCvepPeVu0viCAuoOXYAOXYB3P4Ts0kW4bNoI1Z9/wG3CS8B4Ceo27SDv2Qvann2AevWNhqnMe9Rm+8bKsdVqnV33DRVv8+bNePPNNw0/r1q1ClFRUXj44YcBAI0aNcKQIUOwYsWKIoU/v/9Ge9PT0+Hh4WG4PSMjA/7+/kafzxLnUtbmyPs0lIZtd05su2Vs2iTHyy+7ISNDgEwmQRT1/65fr8Cbb0qYMycHPXsWn49GAyQmygxLdu7fL0dqasmFuqpVxQKz+SIjRahU+vvy9ydRq03ZSvvB971zOHHiBD7++GMkJibC3d0dI0aMwKhRowDoL5768ccfkZaWhsDAQAwePNhwX0mWLFmCDz/8EFu3bkVISAgA4NSpU5gxYwZOnToFf39/DB48GCNHjjRr24iIHMG3CQsM34+OHAfBka8ydVCeSk88XKcPHq7TB5Ik4eStRGy9HIf4pDgcuLYPOkl/3nFPm41NlzZg06UNAIAm/hGGImDLaq2hkLGUVR7sLTuk3LYFHp99hOwpb0P9SF8A+kp61arVzPbHz57j23Pu9h7fnnM3d3x7zt2U8cU6dZHz/EvIef4lCDdvQrVlE1R//oG6n38C1fR3oGvUGHkP94H6kcegjYgqdl9Aa+Rujfj2nLsl4lNRp06dwpUrV9ChQwfDbaIoQqcrOKCnLmZUt2bNmvDx8UFiYiKCg/VX2509exZqtRoRERHmS5yIyMls2iTH8OH3N8rLn5WX/29mJjBsmBuWLMlBr176v+Hp6cChQ3LD/nyHD8tx717xn7GCIKFxY9FQ5GvdWodatbhsJzmv9PR0jB49GoMGDcI333yDlJQUjB07FjVq1IBSqcRXX32Fb7/9FhERETh8+DBGjhyJ0NBQxMTEFBszLS0NP/zwQ4HbcnNzMXbsWDzxxBNYuHAhLl26hJEjRyIkJASxsbHmbiYRkd1KuZuMjRfXAwCqugfhsXr9rZwRVZYgCAgPiEB4QAReaf4q0nPvYEfKX9iStBnbLm8x7OUIACdvncDJWyfw1ZHP4ePiiy4h3RATGotutXog0D3Qiq2wDyz82RnZlRR4v/Ac8mJicW/8a4bbBUGAXC4362Ctvca359ztPb49527u+Pacu7niSwEByHtqKPKeGgrx7l247twOl00b4Lb4e3h88Sm0deoi77H+EAcOBOo3rnAR0B77xhKxHSE+FXXy5En4+vrC84F9NLt27YqffvoJ8fHx6Ny5M5KTk7FixQo88sgjAIDjx4/jjTfewLp166BSqfDEE09gwYIFiIyMhKurKz7//HP06NEDAQEB1moWEZFDyc0FXn5ZX/STJOOfkZIkQBAkjB3rhscf1+DwYTlOny55SUZ3dwktWtzfn69FCx0KbdlK5NSOHj2K7OxsTJgwAXK5HPXr18eoUaOwcuVKjB8/Hl988QWioqIAAC1btkRYWBjOnTtXYuFvxowZGDx4MGbPnm24bfv27dBoNHj++echl8sRHh6OQYMG4ddff2Xhj4ioBItOfGeYDTY8fCRUcpWVMyJT83Wtgsfq9cdj9fpDlEQcu34E8Zf1S4IeuX4YEvSrRWXkpWPthdVYe2E1AP2yr93/mw0YXbU5ZIJzLEdfHuwRe6LVwnvMs5Dc3HF3zjfAA/sjiaKI1NQrEEXRLE9tz/HtOXd7j2/PuZs7vj3nbu74oigiNTMduQ/3wd2vF+DWifNI//V3aNp3hNvi7+DVsS2qdGgJ949mQH76lE3lbu749py7JeJTUTdv3jTs7ZevTZs2+Oijj/Dll1+idevWGD16NHr27Ilx4/SbpOfk5ODSpUuGff1eeeUVNG3aFI899hi6d+8ODw8PzJgxw+JtISJyVOvWKZCRIRRb9MsnSQJycgQsX64yWvQLCRHRv78GM2fmYuvWbJw/n4VVq3Lw5ptqdO3Koh+RMYUvSPPx8cGpU6cQFRWF9u3bAwA0Gg3+/PNPJCcno2vXrsXG2rFjB86cOVNkOdDExEQ0bNgQcvn939smTZrgxIkTJmwJEZFjuae5h59OLgIAKGVKDA8vfallsm8yQYZmQS0wqdUUbBr4F06MOI+vuy1Av3r94ePiW+DYI9cP49ODs9BrVTdELK6Hl7aOxZpzq5Cee8c6ydsgzvizI27zvobi0AGkr9sMyc/4vjpERA5HqYSma3dounZH1kefw33vTshXrYLbtwvg8dlH0DZqjLy+jyO3/yCIdcOsnS2RTRk7dizGjh1b5PZHHnnEMMOvsDZt2uDMmTOGn1UqFaZNm4Zp06aZLU8iImf2558Kw55+ZSWXS4iMFA1LdrZqpUONGtw/l6g8mjVrBjc3N3z55Zd4/vnncePGDSxfvhwZGRmGY+bNm4evv/4avr6+mDVrFho1amQ0Vm5uLt5//31Mnz4dKlXBGSnp6enwLlR59/X1RXp6OkRRhExW9Jp8pVLusMvwKhQlz1Z2ZGy783Lm9le07T+fWYn0vHQAQP+GAxHiW92EWVkGX/fKCVZVwzO+z+CZqGegFbU4kLofW/7djLhLm3HiZoLhuJs5N/HbmZ/x25mfIRNkaFO9LXrUjkVsnV4ID4iw+KpTtvK6s/BnJ+RnTsPj4xnIeeEVaFu3sXY6RETWoVJB26Mn7nWOAT6ZDdWObXBZ+zvc5n0Nj48/hKZla+Q+8RTyHnscUhU/a2dLREREVKo7d4RyFf3Cw3X444978PAwY1JETsDHxwdz587FRx99hKVLl6J+/fro379/gZl4L7zwAkaPHo3du3djypQpUCqV6Ny5c5FY8+fPR0RERIF9lUtT0kCkRqMr9j5HoFY7dvtKwrY7L2duf3nbLkkS5h+Za/h5VPhYu+0/e83bFEzbdgEtAtugRWAbTG71Dq5mXcHWy1sQnxSHHcl/4Z42GwAgSiL2Xt2DvVf34L0976K6Rw3EhMaie61YPBTSGZ4qLxPmVDxbeN1Z+LMHWi28XhkHXWhtZL/xlrWzISKyDS4uUMc+DHXsw0BODlw2b4TLbz/Dc8rr8Jz6JtQ9eiF30GCoY2IBFdeBJyIiItukP02RAJRe/JPJJNSuLbLoR2QiLVu2xIoVKww/b968GUFBQQWOUalU6NatG3r27Inly5cXKfxduHABv/32G9asWWP0Ofz8/PDvv/8WuC09PR2+vr5GZ/sRETm73Vd24vRt/dYuraq1QXTV5lbOiGxNDc9gPNNkBJ5pMgJ5ujzsS92L+KQ4xCdtxvn0c4bjUrOv4qeTi/HTycVQypRoV6MjYkJ7IKZWT4T51rP4bEBLYuHPDrgu+R6Ko0eQvmEL4Opq9BiZTIbq1YPNdtJoz/HtOXd7j2/PuZs7vj3nbu74FYrt5oa8fgOQ128AhOvX4fr7Crj89gt8RgyBWKUK8h7rj9ynhkIb3dz5+saJ4hMREdmT9HTgs89csHOnHGUp+gGAKAro3Vtr1ryInEVeXh42btyIHj16wNPTEwDw999/o1mzZnj33Xfh6emJ119/3XC8IAhQKIoOo/3555+4e/cu+vbtW+D2/v3747nnnkNERAR+/vlnaLVaw+MTEhLQtGlTM7aOiMh+fZuwwPD9c5HjrJgJ2QMXuQseCumCh0K64L0OH+JSxkVs+2824N9XdiFXlwsA0Iga7Ez5CztT/sI7f7+FUO/aiAmNRUytWLQP7gQ3hZuVW2JagiRJ3AjgATdu3DVrfJVKXq6pnsLtW/Br2wx5jzyGrM+/LvY4SZIMJ5HmqFTbavyy9Ket5m6r8cv7Hi1PbFOzl/jG+tRecrdG/NJil+c9Kj91Eq4rfoHLqt8gT70KbXgk7j09DNmP94fcL8Dh+qai8vvUnt83lhAYaJklIeyduc+lrM2Un5P2hm1n252Nudqu1QI//qjExx+rcPv2gxfDlDzrTxAkeHsDCQlZxV0PalJ87dl2c7Cl8ylRFNGjRw/06tULEydOxD///IOXXnoJy5YtQ1JSEqZOnYr58+ejZcuWOHbsGMaMGYPJkydj4MCB2LJlCxYtWoTly5cjKysLWVlZBWJ37twZv/76K+rVqweVSoVevXrh8ccfx+jRo3H27FmMHj0an3zyCbp06WI0N0c+n+LvF9vujJy5/eVt+78Zl9BmWTQkSKjuUQMHhyZAKVeaMUPz4etu/bbf09zD31d2Iv5yHOKT4pB897LR49wUbugY/BC6/1cIrOUdWmrslLvJuJ17q8jtCqUMWo1Y5HY/V3+EeNUsfyMKKeu5FGf8FWLuDZTLu7mj6ycfQhAlaKa9C5Wq+MeKoojr168jODjELDMpbDV+WfrTVnO31fim3IDU0fqmooz1qb3kbo34pcUu13u0aSQ0TSOhmf4eFPFboFqyCB7vTMGtxd+ievOW0A5/Frq27WDKP/zW7JuKyu9Te37fEBER2YO//pLjnXdccObM/fMZNzcJvXppsWaNAoAESSp6XiII+ut158zJsUjRj8gZyGQyzJ49G9OmTcPSpUtRrVo1fPLJJwgPD0d4eDgyMjIwZcoU3Lx5E9WqVcO4ceMwcOBAAMDdu3eRlJQEAPD09DTMGHxQQECA4fYFCxZg2rRpWLhwIQICAjBx4sRii35ERM7shxPfQoL+vOfZiNF2W/Qj2+CudEeP2r3Qo3YvSJKEc3fO/lcE3Ix/UvdAK+pX0sjR5mBL0mZsSdoMAGhQpSFiQnsiJjQWrau1hUpecAuhlLvJaLe8OfJ0eWXOxUXugr1DDpuk+FcWLPwVYokNlMs8U+X0KagWfY/sdz9Ano8/UMLjRFGEVitCrdZBJjP9JE5bjl9af9py7rYa31RXZDhi31RU4T61p9wtHb8ssSvyHlV37YF7XXsAqVeRu+JnyJf+CNdflkPboCFynx6O3CefguTnX9n0rd43FaVW6+z6fUNERGTLLlwQMG2aK+LiCv4XfMAADaZOzUNwsITHH5fj5ZfdkJGh38tPFAXDv97e+qJfz57Wv3KayJFERkZi9erVRu976qmn8NRTTxm9r3///ujfv3+xcc+cOVPg5wYNGuDnn3+ueKJERE4gS5OF5ad+AqAvkjzT5FkrZ0SORBAENPBriAZ+DfFC9Mu4q87EjuTt2PrfbMC0e9cMx569cwZn75zBvKNfwVPphc41uyKmViy6h/ZANY/quJ17q1xFPwDI0+Xhdu4tFv4I8PhkJsSQmsgZOcbaqRAROQwxqBryBjyB2y+Mh8ue3XBduhgeH0yDx8z3kNt/EHJGjYUuMsraaRIREZEDyMgAPv3UBd9/r4RWe38mX/PmOnzwQS5atry/DFCvXjokJGRh/XoFNm5U4M4dAVWqSOjdW4tHH9Vyph8RERE5tN/O/IxMdQYAYED9J+DvVvmLs4mK46XyxiNhffFIWF9IkoQTtxIQ/+9mxF+Ow6G0AxAl/Xl6luYuNlxchw0X1wEAIgOaIjLQ9scNWfizUfITCXBZvwZ3Z88FVKrSHwCYfb8ke45vz7nbe3x7zt3c8e05d3PHt0juMhk0D3WB5qEuyLp5E25LF8N18fdwW/4TNG3aIWf0WOT1fhRQln9ZCbvvGzuOT0REZAu0WuCnn/T7+N26dX956+rVRUydmocBA7Qwtuq1qyswaJAWgwZpLZgtERERkXWJkojvji8w/Dw6apwVsyFnIwgCIgOiEBkQhYktJ+F27i1sT96G+KQ4bLu8BbdzbxuOTbh5DAk3j1kx27IRJEniWlsPMPcGymXd2NJ7xNNQJCbg9p5DFRp0dha2slGoI2Gfmh771LTM2p9aLVR//gG3776Bau/f0FWvgdzhI5HzzLOQAgPN85w2gO/RsinrBsrOztznUtbmzL8vbDvb7mwq2vYdO/T7+J06dX8fP1dXCS++qMZLL6nh4WHKLM2Hrz3bbg48nyobRz6f4u8X2+6MnLn9ZW37tsvxGPyHfgnl9jU6Yk2/jeZOzez4ujtG23WiDkeuH0L85ThsTdqCYzeOVDhW/KCdiAqMrlQ+ZT2XMnKNIVmb/PQpuGxcj+zX3ixz0U+SJOTm5sBcdVx7jm/Pudt7fHvO3dzx7Tl3c8e3au4KBdSP9kPG2j9xe9vfUHeLgfvsT+HfvAk8XxsP+YVzlYtvztwZn4iIyKouXhQwbJgrBg1yL1D0699fgz17svHmm/ZT9CMiIiKypAKz/SI5249sh1wmR8tqrTG59VRsGbQDCSPOYVKrKdZOq1Qs/Nkgt28XQBdUDXn9B5X5MZIk4datm2YdrLXX+Pacu73Ht+fczR3fnnM3d3xbyV0XEYmsL+bg1tFTuPfam3DZtAFV2reE97NDoTh0oNLxK8JW+sZW4xMREVlDZiYwbZoLOnXywKZN9y/cbNZMhz/+yMaCBbkICeFnHxEREZExF9LPIf5yHACgplct9KrT28oZERUvyD0IPWs/bO00SsXCn40R7tyG68pfkDtiVJn39iMiIvOR/Pxxb8LruHXoBLI+/RLyU4mo8nB3+Dz2MFRbNgGiaO0UiYiIyAp0OmDJEiXatvXA/PkqaDT6fWyDgkR8/XUO/vzzHlq35nkCERERUUm+T1ho+P7ZiOegkCmsmA2RY2Dhz8a4/rQE0OmQM2yktVMhIqIHuboi95kRuPP3QWQsWgZBrYbP00+gSpd2cPl9pX70j4iIiJzCrl1ydO/ujkmTXHHzpv6/1a6uEl59NQ9792bjySe1kPF/20REREQlyszLwM+nlwEA3BXuGNp4mJUzInIM/K+ILRFFuP24CHmPD4QUGFjuhysUZdsPsKLsOb49527v8e05d3PHt+fczR3fpnOXy6Hu8yjSN8bjzrrNEGsEw3vsSFTp3BYuq1cAOp3z9o0NxCciIjKnixcFDB/uigED3HHy5P19/Pr10+Dvv7MxebIanp5WTJCIiIjIjvxyehmyNVkAgIENBsPXtYqVMyJyDCz82RDlvr2QX/4XuUOeKfdjZTIZgoKqQWamy0rtOb49527v8e05d3PHt+fczR3fbnIXBGjbtkPGL6txZ9M26GqFwnvcKPh3aYdau3ZAZoZ97Oymb6wUn4iIyFwyM4Hp0/X7+P355/2LWJo21WH9+ntYuDAXNWtyHz8iIiKistKJOnyX8I3h59FRY62YDZFj4cibDXH57WfoatWGpk27cj9WkiRkZ2dBMsNAs73Ht+fc7T2+Pedu7vj2nLu549tj7trmLZG5fCXubP4L2tp1ILwxEb4dW8Fl1W8m3QPQHvvGkvGJiIhMTacDfvpJv4/f3LkF9/H76qscbN58D23acLlvIiIiovLaejkO/2ZeAgA8FNIVjfwaWzkjIsfhNIW/33//HX379sWAAQNw6NAha6dT1L17cFn7O3KfGIyKbAYhSRLS0++YdbDWXuPbc+72Ht+eczd3fHvO3dzx7Tl3bbMWyPjpV/y76Cdow+rB+/nRqNK9E5TbtgAmeD577htLxCciIjKlXbtkiIlxx2uv3d/Hz8VFwoQJ+n38Bg/mPn5EREREFfXt8QWG75+LGmfFTIjKx8/VHy5yl3I9xkXuAj9XfzNlVJTCYs9kRbdu3cLChQuxatUqpKWlYdWqVWjRooW10ypAFb8Zsqy7yB002NqpEBFRJenqNUDmj78g98B+eH4wDb6DB0DdoROy354ObfOW1k6PiIiISvDvvwKmT3fBhg0F96V97DEN3n47D7Vq8QIWIiIioso4c/s0dqT8BQCo7V0HPUJ7WjkjorIL8aqJvUMO43burSL3KZQyaDVFV//yc/VHiFdNS6Snz8Niz2RFe/bswUMPPQR3d3fUqVMHr7/+urVTKsJl43poIptCrFPX2qkQEZGJaNu0Rfq6TVBt2QSPGdNRpVc35D3yGLLfege6evWtnR4RERE94O5d4IsvVPg/e3ceZ1P5+AH8c+46+2bG2KkQxkwppUhCtlSyZSnCDINvWZItJCIJiRY7kX1LtuxtlDbFYAghy1iGGWa/2/n9cX9GwzDjzj1zznPv5/169Wrm3pnP/ZzHGe7c557nmT3bBItFyr09JsaOceNy8MQTXNKTiIiIyB3+u7dfbHQv6CQuo0BiKRdYPt+JPJNJD4tF/d8bNPsT9eOPP6Ju3boYOHBgntvPnTuHXr16oU6dOmjYsCEmTZoERwH7JyUlJeH69evo1asXunTpggMHDihZ/d5ZLDBt3wZLi5ZFijGbfdxUyPPyRe4uer7I3ZXOF7m70vkid78tX5JgadoCKbv24Pr0GTD8tQ+hT9eB/6hhkFJTipatANHziYiI7pXdDixZ4tzH79NPzbmTfpGRMqZNy8K2bZmc9CMiIiJyk9TsFKw6ugwA4G8MQKdqr6rciMjzaPKKvzlz5mD16tWoWLHibfe98cYbiIqKwo4dO3DlyhXEx8cjPDwc3bt3x6pVq7Bq1ao8Xz927FgAwPXr1zFjxgwcO3YMQ4YMwfr164vlWArDuOdH6NKuI6fF8y5n6HQ6hIdHuLGV5+SL3F30fJG7K50vcnel80Xuftd8vR45HV9Bzktt4Tt7BvymToLP6hXIGDYK2a++Buj1rme7iej5RERE9+rnn/UYOdKMhISb/w6bzTJ697bgrbfsMJs54UdERETkTksSv0SmLRMA0LFaZwSZg1VuROR5NHnFn9lsznfiLyEhAUeOHMFbb72FwMBAVKpUCd26dcOKFSsAAO3bt8fKlSvz/FetWjWUKFECMTEx0Ov1qFatGlJSUiDL2tmXwbxlE+wVKsJeI8rlDFmWcf36NcWOS+R8kbuLni9yd6XzRe6udL7I3QuV7+ODrH4DkbJ3HyxNmiNw8ACENq4P454fi55dRKLnExERFdbp0xJiY33QqpVfnkm/55+3YvfuDIwYYUFgoIoFiYiIiDyQzWHD/IOzcz+PrRmvYhsiz6XJK/66du2a7+2HDh1C2bJlERx8810AUVFROHnyJNLT0xEQEJDv99WtWxcjRoxAr169cP78eYSEhECSpHy/1mjU4w53uYXBcPsVHabvv4WtSVOYzK7/cTgcDmRlpSMsLAQ6nfvnc7Wan994uiu7sDwtvzBj6mq2u4mSn9+YitJdjfyCsot6jmpmbMqXRc7M2bD17AWfoW8hpHVLWF5qg+z3J0IuU6ZYu98YU82MDRERkULS04GPPzZh5sy8+/jVrOncx69uXV7hR0RERKSUrae+wZm0fwEAjSs0QeXQKio3IvJMmpz4u5PU1FQEBQXlue3GJGBKSsodJ/5Kly6NRo0aoX379tDr9XjnnXfu+BhWq/K/6P13c0fd2TPQ/3MC6SPeLdKmjw6HAzabAxaLHTqd+6+k0HJ+QeOm5e5azXfXBqSeODauunVMRepe3PmFyfaovy+jayFr43aYV69AwJhRCHj8EWSMeAfZ3eJuW/5Tye4Wi117Y0NEROQmDgewfLkB48ebcfnyzTefhIc7MGKEBR07Wguz6jYRERERFcHcAzNzP+4Z01vFJkSeTaiJPwAuLw/26quv4tVXC94otLiv+DP+9ANkSYLU6BmYTK7/pulwSDAYdDCZ9ApdpaHN/MJd8afN7lrNd+8Vf541Nq7K/4o/MbqrkV9QdtGv+NPi2Oghv/oq0p5vCZ8xoxE4fDB8Vy1H1sefwBHzkOLdb17xp8WxISIiKpq9e537+B04cPM5hMkkIz7eggEDuKQnERERUXE4lHwQe847tzmpHFIFz5RvrHIjIs8l1MRfWFgYUlNT89yWmpoKSZIQFhbmlsco7iv+zN9+C1v0Q8jxDwaKcAWLLMswmXxhtTogScrsuaXV/IKu/NFyd63mu+uKP08cG1fdOqYidS/u/MJkF+Uc1fTY+AXBMnEqDG07IvCtfghoWB9ZvfoiY8jbgL+/ot0tFru2x4aIiOge/fuvhLFjzVi/3pjn9pYtrXjnnRzcdx//LSIiIiIqLnMTbl7tFxsdD53ENwQTKUWon66aNWsiKSkJV69ezb0tISEBlStXhr+/v4rNXGfc+xOs9eoXOUeSJISGht1x70Jvzhe5u+j5IndXOl/k7krni9zdXfm2x+sgZcePyBg+Cr4L5iDsmSdh3PuTEN3VzCciIgKc+/i9/74J9er555n0i4qyY+3aTCxYkM1JPyIiIqJidCXrCtb8vRIAEGgKQodqnVVuROTZhLrir0aNGoiOjsaUKVMwfPhwXLx4EQsWLECPHj3c9hjFudSnlJQE/bmzkJ94okjLfALOqyhSUlIQGhqqyAuqWs0vzJJ/Wu2u1Xx3LvXpaWPjqvzGVJTuauQXlF3Uc1SYsTH5wv7WYKS3aQPfvvEIbtUCOX3+h6Q3+iO0VGm3dr8xpsKMDRERUT4cDmDlSgPGjTPj0qW8+/gNH25B587cx4+IiIhIDYsPf4FsezYAoHP1LggwBqjciMizaXLiLzo6GgBgs9kAADt27ADgvLpv+vTpGDVqFOrVq4eAgAB07NgRnTu77x0CxbnUp+mXXwEA2Q89AkcRl1Z0OBy4du06/PwCFdqXSbv5BS35p+XuWs1311Kfnjg2rrp1TEXqXtz5hckuyjkq3NiUq4TsrzbDd/YM+E4YC8dff8I+4l04HqtT9Oz/sFjs4o0NERHR/9u7V49Ro8zYv//mzJ7RKKNXLysGDsxBUJCK5YiIiIi8mNVuxfyDcwAAEiTE1uylciMiz6fJib+EhIQ73leqVCnMmTOnGNsox7jvd9hLlYajTFm1qxARkZbp9cjq8zqyGz0LeexIhLzYHDn/64+MoSMAo7Hg7yciIvJQZ85IeO89M9aty/vvYYsWVowenYP77+eSnkRERERq2nxyA5IyzgMAmlVqgUrB96nciMjzaXLiz1sY9v0O2yO11a5BRESCsFepivQJk5G5djUCPnwfxt3f4/rM+XBU4pNmIiLyLunpwKefmvD55yZkZ99cPrp6dTvGjctB/frKr+RCRERERAWbc2Bm7sdxMb1VbELkPTjxd4ti2+PP4YBx/5/IefOtIu/vBwCyrENYWCjMZoNC+zJpM79we/xps7tW8927x59njY2r8t/jT4zuauQXlF30Pf4EH5uIcNgHD0FGo0bwi+2GsMZPIWvqdFjbvexy7s09/sQdGyIi8g4OB7BqlQHjx5tx4cLNZaNLlHBg2DALXn2V+/gRERERacVfF//Erxf2AgCqhVVH/bINVG5E5B048XeL4trjT3fyH0hpaciuHg2rm/ZT8/UNgNXqcEuWSPmF2etLq921mu+uPf7yy3Y3UfLzG1NRuquRX1B2Uc9RTxgba8wjyN75IwKGDIRfXHdk7dyJ9PEfAgGubZB9Y0xFHhsiIvJsv/6qw6hRPvjzz7z7+MXFWTFoEPfxIyIiItKamX99nvtxXHRvvgmYqJjoCv4SUoLh6BEAgL16DbfkORwOJCdfhsOhzIupIueL3F30fJG7K50vcnel80XurnT+rdlyUDDSZszD9ekz4PP1WoS2aAT98WNuy3c3pfOJiMgznT0roXdvHzz/vH+eSb/mza348ccMjBnDST8iIiIirbmUeQlr/14NAAgxh6Bd1Q4qNyLyHrzi7xbFtdSn+dgRyMEhMFQoB3c8oMMhwW63wGTSQ6dz/3yuVvMLs+SfVrtrNd+dS3162ti4Kr8xFaW7GvkFZRf1HPXEsZG7dkV6ncfh16UzQps9g8wZc2B7/oVC594YU5HHhoiIPE9Gxs19/LKy8u7jN3ZsDho04D5+RERERFq16NB8WOwWAMCrNbrBz+inciMi78GJv1sU11Kf5kOHYHuwGixuWu7M4XDAZnM4lxHVyW7JFCW/oCX/tNxdq/nuWurTE8fGVbeOqUjdizu/MNlFOUc9dmzuq4Kcb3Yi8I0+8H+1IzIGvIXMoSNQ2I2OLBa70GNDRESew+EA1qwxYNw4M5KS8u7jN3Socx8/A3+TJSIiItIsi92CLw7NAwDoJB2614xTuRGRd+Hb7VViOJII24PV1a5BREQeRA4MwvUFi5E+cgz8pn+E4E5tIaVcVbsWERFRof3+uw4tW/rhf//zzZ30Mxhk9O5twd69GejWjZN+RERERFq3/sRXuJR5EQDw3H0voHxgBZUbEXkXTvypwWaD/vjfsFer5rZISZIQEhKq2AapIueL3F30fJG7K50vcnel80XurnR+obIlCVn9BuLaiq9g2P8nQlo0hv6f4+7LLwKl84mISFznzjn38XvuOX/88cfNq9WbNbPhxx8zMHZsDoKDVSxIRERERIU298DM3I97xvRWsQmRd+LEnwp0585Cslhge6CK2zIlSYK/f4CiL9aKmi9yd9HzRe6udL7I3ZXOF7m70vn3km1t0BAp3+wCJAkhLRrDuPcnt+a7Qul8IiIST2YmMGmSCXXr+mPtWmPu7dWq2bFiRSa+/DILDzzA5aGJiIiIRPH7hV+x79IfAIDoiBg8Ubquyo2IvA8XSbmF0aiHkq9HGgx66M//CwDQV3kAkqlwey8VxOFw4NKliyhZMhI6nfvnc7WabzAUPH5a7a7V/MKMqavZ7iZKfn5jKkp3NfILyi7qOerJY3ObalWRsfM7+HfpjOC2LyDrk89h7dj5ti+7MaYijw0REYlFloG1aw147z0zzp+/+W9CWJgDQ4ZY0LUrl/QkIiIiEtHchJtX+8U/3Idv/iVSAX+VuoXValf8MXTH/4Gs0yE7sixgcc/jORwOZGXlwGKxQ6dz/ztitZxvKWAMtdxdq/kFjWlRst1JpPxbx1Sk7sWdX5jsopyjnj42t/ELgmXZWgQMGQi/3j2Rcew4Moe8jVvf5WKx2IUeGyIiEscff+gwcqRPniU9DQYZsbFWDBqUg5AQ9boRERERkeuS0s9j/Yl1AIASPiXQ7sGXAYe6nYi8ESf+VKA/fQqOsuUAk0ntKkRE5A1MJqRP/RT2++5HwPgx0CUnI/2DyYDefVf4EhERFSQpScJ775mxerUxz+1Nmtjw7rs5qFKFrwoRERERiWzhoXmwOWwAgK5R3eFj8HHbBQZEVHhcZ0sFutOnYK9YSe0aRETkTSQJWf0HIW3qp/D5cgECe8cCFovarYiIyAtkZgKTJ5vw5JP+eSb9qla1Y/nyTCxZksVJPyJSxcGDB9G1a1c8+uijqF+/PubNm5d735IlS9CsWTM8/PDDaNKkSZ77bnX27Fn07dsXjz/+OOrUqYOePXvi5MmTufc9+OCDiI6OzvPf3fKIiESUbcvGosMLAAAGnQHdouJUbkTkvXjFnwr0p0/CFhXt1kxJklCiRLhiayaLnC9yd9HzRe6udL7I3ZXOF7m70vnuyM5+pSscIaEIiu8O3asv49r8xUBYsNvy70bpfCIi0hZZBtatM2DsWDPOnbv5ntPQUBlDhuSga1crjMa7BBARKSg1NRVxcXFo3749Zs2ahbNnzyI+Ph5lypSB0WjE9OnTMWfOHNSsWRP79u1Djx49ULFiRTz77LO3Zf3vf//DQw89hG+//RayLGPUqFEYOHAg1q1bl/s1CQkJxXh0RETFb93xNUjOSgYAvHB/K5QOKKNyIyLvxSv+VKA/ewaOcuXdmilJEnx8fBV9sVbUfJG7i54vcnel80XurnS+yN2VzndXtqXlC7i2fC0Mv/2KkJdfAq5dc2v+nSidT0RE2vHnnzo8/7wf4uN9cyf99HoZPXtasHdvOmJjOelHROr666+/kJGRgQEDBsDX1xdVqlRBbGwsVq9ejZIlS2Lq1KmIiYmBTqdD7dq18cADD+DYsWO35VgsFrz66qsYNGgQ/P39ERAQgOeffx7Hjx+HLHNfayLyDrIsY86Bmbmfx8X0VrENEfGKv1sYjXoo+XqkwWGHLjkZUtmyMJnct7eSw+FAUtJ5lC5dBjqd++dztZpvMBQ8hlrtrtX8woypq9nuJkp+fmMqSnc18gvKLuo56sljc08aNUTmhs3wb/0iAtq9hPTV6+AIDBR2bIiISBsuXJAwbpwZK1fmndVr3NiGMWNyULUql/QkIu249Q1pwcHBSExMRExMTO5tVqsVO3bswJkzZ9CwYcPbMkwmE9q3b5/7eVJSEpYuXYrmzZvnyR8yZAh++ukn2Gw2tG/fHv369YOR74AgIg/xS9LPSEjeDwCoVfIR1I58XOVGRN6NE3+3sFqV3WxUupTkfJzwCLdubOpwOGCx2GCx2KHTuf8dZVrOL2gctdxdq/nuOjc9cWxcdeuYitS9uPMLk12Uc9TTx+ae1HwY1tVfI6RdK/i1eREpy9YIOzZERKSurCxgxgwTpk83ITPz5gvdVarYMXZsDho3Vvb3LCKie1WrVi34+vpi2rRp6NOnDy5fvoylS5fi2v+vhgEAn3/+OT755BOEhITggw8+QLVq1e6aWbNmTVitVjRp0gRjx44F4JwYrFWrFpo0aYLx48cjMTERb7zxBgwGA/r3759vjtJvSleTO99sLBoeu/fyhuOfd2hW7se9a/WF2eycdvCGY78THrt30sqxc+KvmOkuXgAAOCJLqdyEiIgIsD1UC+lfb4T/S88juFNbJE37XO1K5Aa//fYbevTokec2WZZhtVrRv39/zJgxI899DocDjzzyCL788svbsq5evYoJEyZgz549sFqtqF69OoYOHYqoqChFj4GIxCDLwNdfO/fxO3v25tXcISEyBg/OQbduXNKTiLQpODgYn332GSZOnIjFixejSpUqaNOmDQ4ePJj7NX379kVcXBx2796N4cOHw2g0okGDBnfMPHjwIC5cuICJEyciNjYWS5YsQcmSJbF8+fLcr4mJiUF8fDxmzZp1x4k/pd+UrjZ3vhFeNDx27+XJx3827Qw2Hl8PACjpF4mWlV7Kc7yefOwF4bF7Jy0cOyf+ipl0wTnxZ48srXITIiIiJ8fDtXBt9XoEtm8F/7GjgBnzgcBAtWtRETz22GNISEjIc9vMmTNx5MgR9O3bF3379s1zX2xsLBo3bpxv1pgxY5CWloZNmzbB398fn376KXr16oUffvgBer023slGROrYv1+HkSPN+OWXm79W6vUyunWzYvDgHISFqViOiKgQateujVWrVuV+vnXrVkRGRub5GpPJhEaNGqFZs2ZYunTpXSf+AKBUqVIYPnw46tevj0OHDiE6Ovq2rylbtiySk5MhyzL3vyYi4S04OBd22TnR8VpUD5j0JpUbERE32ClmugtJkPV6yOHhbs2VJAklS5ZS7AmjyPkidxc9X+TuSueL3F3pfJG7K52vZLYt5mFcX74W5X79FSGxXQCLxe2PofTY052dP38eCxYswJAhQ267b8uWLbh8+TI6dOiQ7/ceOnQIzz77LEJDQ2EymdCqVSskJyfj8uXLStcmIo26cEFCv34+aNrUL8+kX8OGNnz3XSYmTOCkHxFpX05ODr766iukp6fn3rZnzx7UqlUL7777LiZPnpzn6yVJgsFw+/vn//nnHzRo0AApKSm5t93Yz9poNOLnn3++bbWFf/75B2XLluXzYiISXqY1E18eXgAAMOqM6BrVo4DvIKLiwIm/YiZduABHRElA596hlyQJer1e0ReyRc0Xubvo+SJ3Vzpf5O5K54vcXel8pbvbaz2KzLkLYfppNwL/1wuwu3dpAqX7051NmzYNbdu2RZkyZfLcbrfbMXnyZAwaNOiOV+8988wz2LRpEy5duoTMzEysW7cO1atXv+3d8ETk+bKygI8/NuGJJ/yxfLkRsuz8+7xyZTuWLs3E8uVZePBBh8otiYgKx2g04tNPP8WMGTNgs9mwe/durF+/Hq+99hoef/xxLF26FL/88gvsdjv27duHTZs2oWHDhgCA7du3o3PnzgCAihUrIjAwEOPGjcP169eRnp6OKVOmoEKFCrj//vsRGBiIzz77DF9//TWsVisSEhIwb948dOrUSc3DJyJyizXHViI1JxUA8FLltoj04++JRFrApT6Lme7iBThKuX9/P4fDgaSkcyhdumzuO8uYr3w289XLFj1f5O5K54vcXen84uh+7oEHIM2Yh5Cer0EODkH6pKmAmybqlO5P+Tt79iy2bduGbdu23Xbfxo0bERAQcNclq4YMGYL4+HjUr18fgHNpqjlz5txxAtdo1LvrlNEkrWzUrQYeu3cyGPT/v4+fHqNGGXHmzM2/v4ODZQwbZkVcnO3/9/HzrHHy5j93wLuPn8fuHXQ6HT7++GOMHj0aixcvRqlSpTBp0iRERUUhKioK165dw/Dhw5GcnIxSpUqhd+/eaNeuHQAgLS0Np0+fBgDo9XrMmjUL48aNQ4MGDWAymRATE4OZM2fCZDKhZs2amDp1Kj799FO88847CAwMRJcuXfDaa6+pefhEREUmyzLmHpiZ+3nPmN4qtiGi/+LE3y2UfrFKd+ki5FKlYTK598m0wyHBYNDBZNIr9GKwNvML80uJVrtrNd+dv+h52ti4Kr8xFaW7GvkFZRf1HPXksXHVjTG9kY/WLyEr41P49esLqUxp5Ax72y2Po/TYU/6WLFmCpk2bIiIi4rb7Fi5ciC5dutz1+8eMGQMA+O677xAYGIhFixYhNjY2d8+/W1mt6m9irTQtbNStFh679/nrLwnDhpmwd+/NXx11OhmvvWbFkCEWlCghQ5YVWSFaE7z1z/0Gbz5+Hrt3iI6Oxtq1a/O9r1OnTne8Kq9NmzZo06ZN7udly5a9bTnP/2rSpAmaNGlStLJERBqz+9wPSLx6GADwWKk6eLjkIyo3IqIbOPF3C6VfrPJPToatyoNufyLtcDhgszlgsdih08luzdZ6fkFjqeXuWs131/npiWPjqlvHVKTuxZ1fmOyinKOePjausljsefJtHV+FfP48/D8YB0ul+5HTpn2RH0Ppsaf8bd26FUOHDr3t9jNnziAxMTF3yar8ZGZmYs2aNVi6dClKly4NAOjTpw+++OIL7NmzB02bNlWsNxGp6+JFCRMmmLBs2c0lPQGgQQMbxo7NQfXqXNKTiIiIyJvNSfjP1X7RvNqPSEs48VfMpNRUyCGhatcgIiIqUObAwdCfOI7A/n1hL1cBtsfrqF2J7lFiYiLOnTuHevXq3Xbfzp07Ub16dYSFhd3x+x0OB2RZhsNx8wV+WZZhtVoV6UtE6svOBmbPNmHqVBMyMm5O+N1/vwNjx2ajSRO7Ry/nS0REREQFO3XtJLae3AwAKO1fBi3vf1HlRkT0X1xnq5hJqSmQQ0LcnqvT6RTdM0nkfJG7i54vcnel80XurnS+yN2Vzi/27pKEtI8+ge3hRxDcrRN0p0+5N58Ud/jwYYSEhCAgIOC2+xITE1GuXLnbbj9w4ACaN28Oi8WCgIAAPP7445gxYwaSk5ORnZ2NWbNmwWg04rHHHiuOQyCiYiLLwIYNBjz1lD/GjTPnTvoFBckYOzYbP/yQgaZNOelHRERERMD8g3Mgw7mST/eacTDqjSo3IqL/4itvxUmWIaWkwKHAFX+yLMNut0OWlVk6TeR8kbuLni9yd6XzRe6udL7I3ZXOV6W72YxrXyyFHBCI4FdfhpSe5t58UlRycnK+e/vduC88PPy227OysnDy5MncP6epU6ciNDQUL730EurXr489e/Zgzpw5CA3lCgZEniIhQYfWrX0RG+uLf/91/oqo08no1s2Cffuy0Lu3FSaTyiWJiIiISBPSrelYmvglAMCsN+PVGt3ULUREt+HEXzGSMtIh2e2KXPEnyzIuXbqg6IvBouaL3F30fJG7K50vcnel80XurnS+Wt3lEiVwbckq6M6eRcDAN5yXhbgxn5QTHx+PjRs35nvfvHnz8M4779x2e506dXD06FGYzWYAQHh4OCZPnozdu3fjt99+w+LFi/HQQw8p2puIiselSxLefNOMZ5/1w08/3dwFon59G3btysSHH+Ygn/cHEBEREZEXW3l0Ga5brgEA2lZ5GeG+fMJIpDWc+CtGUkoKAChyxR8REZGS7FWqIm36DPh8vRa+sz5Tuw4RERVBTg7wyScmPPGEPxYvNkGWnet33nefA4sWZWL16izUqOEoIIWIiIiIvI1DdmDegVm5n8fF9FaxDRHdiaHgLyF3kVJTAUCRK/6IiIiUZnmhFTL79oP/mFGwPfwIrE/UVbsSERHdA1kGNm824N13zTh9+uZ7QAMDZQwalIO4OC7pSURERER39t2ZXTiW+jcAoG6Zp1AzPFrlRkSUH078FSNdqrJX/EmSpEiuJ+SL3F30fJG7K50vcnel80XurnS+2t0zRr4Lw1/7EBj3GlJ27oYcGenWfCIiUsbBgzqMGmXGnj03fwXU6WS8+qoVQ4daEBHBZZiJiIiI6O7mHpiZ+3FcNK/2I9IqSeZGO3lcvpymWLZpw9cIju2C5KOnIIeGKfY43sRk0sNisatdw6NwTN2PY+peHE/3u9cxlS5dQljDurBFx+Da0tWAzjtWDo+ICFS7ghCUfC6lBd78dxCPXcxjv3xZwgcfmLB4sTF3SU8AeOopG957LwdRUXdf0lPkYy8qbz52wLuPn8eu3LHz+VThePLzKf588di9kacc/4nUY3hy6aMAgPKBFfDLK3/BoLv7dUWecuyu4LHz2JVQ2OdSvOLvFkajHkpdjGDMuO78f3gYoNe7NVuWZeTkZMNs9lHkagqt5hsMBY+jVrtrNb8wY+pqtruJkp/fmIrSXY38grKLeo568ti46saYFjq/XGlkzZgF/3atETB/Fix9Xy/U4yg99kREdFNODjB3rhEffWRGWtrNv3MrVXLg3Xdz0KKFTbHfe4iIiIjI88xLmJ37cfeaPQuc9CMi9fCn8xZWq3KzsfrUa5D9/WGxA7C793EcDgeSki6idOmy0Clw5YWW8wuaQddyd63mu+tdCZ44Nq66dUxF6l7c+YXJLso56ulj4yqLxX5P+ZanG0Pq1Qe+745C1hNPwV6z4HX9lR57IiJy7uO3ZYsBo0ebcerUzb9rAwJkvPlmDnr2tMJsVrEgEREREQnnes41LDuyBADga/DFK9W7qNyIiO6Gr7oVIykjA7K/v9o1iIiI3CJj5BjYK1dFUJ9YICtL7TpERF7v0CEd2rXzxWuv+eZO+kmSjC5dLNi7NwOvv85JPyIiIiK6d8uPLEGGNR0A0L5qJ4T6cBsrIi3jxF8xkjIzIftx4o+IiDyEjw+uz5wH/amT8J84Xu02REReKzlZwltvmdG4sR9+/PHmoi716tmwY0cmpkzJQcmS3NqdiIiIiO6dQ3ZgbsKs3M/jYuJVbENEhcGJv2IkZaQDCl7xZzAYFcsWPV/k7qLni9xd6XyRuyudL3J3pfO11t1erToyBr8N35mfwrDvd7fnExHRnVkswOefG1Gnjj8WLTLB4XBu2lehggPz52dh7dosREc7VG5JRERERCLbcXorTl0/CQB4ulxDVAurrnIjIiqIJMsy3/r5H5cvpymWHdivDwz/HEfKxu2KPYa3MZn0btuPjpw4pu7HMXUvjqf7FXlMbTaEtGgMKScbKdt/gKeuIxcREah2BSEo+VxKC7z57yAeu3aOXZaBrVv1GD3aBydP5t3Hb8AAC3r1ssDHxz2PpbVjL07efOyAdx8/j125Y+fzqcLx5OdT/PnisXsj0Y+//fpW+P7stwCAL59bgWaVWhT6e0U/9qLgsfPYlVDY51K84q8YKbnHnyzLyMhIh1LzuCLni9xd9HyRuyudL3J3pfNF7q50vma7GwxIm/Y59CeOw2/qJPfnExFRrsOHdWjf3hddu/rlTvpJkoxXXrHg558z0K+f+yb9iIiIiMi7Hb16JHfSr1LQfWhSsZnKjYioMDjxV5wyMwCF9viTZRmpqSmKvhgsar7I3UXPF7m70vkid1c6X+TuSudrubu9RhQyB7wFv+kfQZ942O35RETeLjlZwpAhZjRq5Icffri5j9+TTzr38Zs6NQeRkfz7lYiIiIjc5797+8VG94JO4nQCkQj4k1qMlLzij4iISG2Z/QfBXuk+BAx/y7kOHRERFZnFAsycacQTT/jjiy/y7uM3b14W1q3jPn5ERERE5H6p2SlYdXQZAMDfGIBO1V5VuRERFRYn/ooRJ/6IiMijmUxIf38STD/thvmr1Wq3ISISmiwD27bp0aCBP955xwfXrzsn/Pz9ZYwcmYPduzPwwgs2SJLKRYmIiIjIIy1J/BKZtkwAQMdqnRFkDla5EREVFif+ipGUmQEoOPFnNiu7mYfI+SJ3Fz1f5O5K54vcXel8kbsrna/17tZnGiHn+Vbwf3ckpPQ0t+cTEXmDI0d06NDBF6++6ocTJ27u49e5swV793IfPyIiIiJSlt1hx/yDs3M/j60Zr2IbIrpXhoK/RHzr1q3DmjVrcj8/efIkdu/eXew9pIwMyArt8afT6RAeHqFItuj5IncXPV/k7krni9xd6XyRuyudL0r39LHvI+ypx+A3eSIy3h3n9nwiIk915YqESZNMWLjQCLv95qV8derYMG5cDh56iEt6EhEREZHytpzajDNp/wIAGldogsqhVVRuRET3wiuu+HvppZfw5Zdf4ssvv0RcXBxatWqlSo/M/oNgfam1ItmyLOP69WuQFdpTSeR8kbuLni9yd6XzRe6udL7I3ZXOF6W7o1x5ZPYfBN85M6A7ddLt+UREnsZqBWbPdu7jN3++KXfSr3x5B+bOzcL69Vmc9CMiIiKiYjP3wMzcj3vG9FaxCRG5wism/v5rzpw5iIuLU+Wxs2N7wVEjSpFsWZaRlnZd0ReDRc0Xubvo+SJ3Vzpf5O5K54vcXel8kbpnxv8PjvAI+E8Yq0g+EZGn2LFDjwYN/DBypA+uXXNO+Pn5yXj7bec+fi++yH38iIiIiKj4HEo+iD3nfwQAVA6pgmfKN1a5ERHdK81O/P3444+oW7cuBg4cmOf2c+fOoVevXqhTpw4aNmyISZMmweEo3Ltff//9d9x///0IDQ1VojIRERHd4OeHzKEj4PPVGhj+/EPtNkREmnP0qA4dO/qic2c/HD+uz729Y0cr9u7NwIABFvj6qliQiIiIiLzS3ISbV/vFRsdDJ2l2CoGI7kCTe/zNmTMHq1evRsWKFW+774033kBUVBR27NiBK1euID4+HuHh4ejevTtWrVqFVatW5fn6sWPHolq1agCAtWvX4uWXXy6WYyAiIvJ22R06w3fmp/Af+w6urd2odh0iIk24ehWYPNmMBQvy7uP3+OPOffwefphLehIRERGROq5kXcGav1cCAAJNQejwYCeVGxGRKzQ58Wc2m7F69WqMHz8eOTk5ubcnJCTgyJEjWLBgAQIDAxEYGIhu3bph4cKF6N69O9q3b4/27dvfMXf//v147733iuMQip0kSfDz84ek0DpAIueL3F30fJG7K50vcnel80XurnS+cN31emSMfBfBr3aAadd25DRqomh/IiIts1qBL74wYtIkM1JTb/49WK6cA++8k4NWrbikJxERERGpa/HhL5BtzwYAdK7eBQGmQJUbEZErNDnx17Vr13xvP3ToEMqWLYvg4ODc26KionDy5Emkp6cjICDgjpkXL15EYGAg9Hr9Hb8GAIxGvaK/cBsMd3/8ooiMjFAsW6v5hR1PLXbXar67z1FPGhtX3WlMReiuVv7dst1xjnrq2Ljqv2Pq9vyWLWF74kn4T5oANG+u+NgTEWnRrl16vPOOGX//ffPvWz8/Gf36WdCnD5f0JCIiIiL1We1WLDg4FwAgQUJszV4qNyIiV2ly4u9OUlNTERQUlOe2G5OAKSkpd534u3z5MkJCQgp8DKvVXqSOhWGxuP8xZFlGamoKQkJCFbmSQsv5BY2nlrtrNd9d56gnjo2rbh1TkboXd35hsotyjnr62LjKYrErli+/ORQhL78E+ZtvcOnRxxQbeyIirTl2TId33jFj5868v3a9/LIVI0bkoHRpWaVmRERERER5bT65AeczzgEAmlVqgUrB96nciIhcJdzOnLLs2i/HNWvWxMyZMwv+QkHJsozMzAyXx8eT80XuLnq+yN2Vzhe5u9L5IndXOl/U7tYGDWGt/Th8P/oQmRnpivUnItKKlBRgxAgzGjTwyzPp99hjdmzdmoFPP83mpB8RERERacqcAzdfO4+L6a1iEyIqKqGu+AsLC0Nqamqe21JTUyFJEsLCwtzyGKIu9elwSDAYdDCZ9NDp3D+fq9X8woynVrtrNd+d56injY2r8htTUbqrkV9QdlHPUU8eG1fdGFMlu1uGvw3f9m1gTvgTpkoVFRl7IiK12WzAwoVGfPihGSkpN3+pKFvWgVGjctC6NffxIyIiIiLt2X/pT/x6YS8AoFpYddQv20DlRkRUFEJN/NWsWRNJSUm4evVq7kRfQkICKleuDH9/f7c8hqhLfTocDthsDlgsduh07n/3sJbzCxpPLXfXar67zlFPHBtX3TqmInUv7vzCZBflHPX0sXGVxWJXNv+phjA88iiMy5bB0uwFRcaeiEhNu3bpMXq0GUeP5t3H7/XXLejb1wI/PxXLERERERHdxZyE/1ztF92b23MQCU6ot9vXqFED0dHRmDJlCtLT03HixAksWLAAnTp1Urua6iRJQmBgkGJ/KYucL3J30fNF7q50vsjdlc4XubvS+SJ3hyQh638DEL73Jxj3/e7+fCIilRw/LuGVV3zRsaNfnkm/du2s+OmnDLz1Fif9iIiIiEi7LmVewrpjawAAIeYQtKvaQeVGRFRUmrziLzo6GgBgs9kAADt27ADgvLpv+vTpGDVqFOrVq4eAgAB07NgRnTt3dttji7rUJwCYze5Z7lSk/MKOpxa7azXf3eeoJ42Nq+40piJ0Vyv/btnuOEc9dWxc9d8xVXRsXnwBAWNHwT5nBrLqPqnc4xARuUF2NrB+vQHffGPAtWs6BAc70KKFDS++aIOPD5CaCkyZYsa8eUbYbDd/gXj0UTvGjcvGo4861CtPRERERFRIiw7Nh8VhAQC8WqMb/Ix81xqR6DQ58ZeQkHDH+0qVKoU5c+Yo9tgiL/V59eoVhIWVUGjPKu3mF2apT61212q+O5f69LSxcVV+S32K0r248wuTXdSlPj15bFx1Y6lPpcfmSlw8Kr7zNmzH/4GjQkW3PwYRkTts2aLHG2/44to1CTqdDIdDgk6nw6ZNRowYIaNVKys2bjTg6tWbf1eWKePcx69NG+7jR0RERERisNgt+OLQPACATtKhe804lRsRkTsItdQn3V1OTjbzVchmvnrZoueL3F3pfJG7K50vcncAuN7oWchBQfCdO0vRxyEictWWLXq89povrl93fu5wSHn+f+0asGiRKXfSz9dXxltv5WDPngy0bctJPyIiIiISx/oTX+FS5kUAwHP3vYDygRVUbkRE7qDJK/7UJOpSnw6HBINBB5NJr9BVGtrML8x4arW7VvPdeY562ti4Kr8xFaW7GvkFZRf1HPXksXHVjTEtlrEJ8IOleyx858yC9e0RQFCQ2x+HiMhV2dnAG2/4AgBk+U6/FNy8vVUrK959Nwdly8rF0I6IiIiIyL3mHpiZ+3HPmN4qNiEid+LE3y1EXurTZnPAYrFDp3P/Cw9azi/MUp9a7a7VfHcu9elpY+Oq/Jb6FKV7cecXJruoS3168ti46sZSn8UxNhldesB32lToli1DdncuI0JE2rF+vQHXrhX+XYBNm9o46UdEJLCDBw/iww8/xKFDh+Dn54du3bohNjYWALBkyRIsWrQIFy9eREREBDp27Jh7363Onj2L999/H7///jskSUJMTAzefvtt3HfffQCAxMREjB8/HomJiShRogQ6duyIHj16FNtxEhHl5/cLv2LfpT8AADXDY/BE6boqNyIid+FSnx5CkiSEhIRCUuhyRZHzRe4uer7I3ZXOF7m70vkid1c6X+Tu/82Xy5SFpUlz+C5aAMh8wZyItOObbwyFfuODTidj82a+j5KISFSpqamIi4vDQw89hN27d2P+/PlYsmQJvvnmG+zYsQPTp0/HpEmTsG/fPkyYMAHTpk3Djh078s363//+h/DwcHz77bfYuXMnAgICMHDgQABAdnY24uPj8cQTT+DHH3/E1KlTMWvWLGzbtq04D5eI6DZzE/5ztV90b8VeCyCi4seJPw8hSRL8/QMUfbFW1HyRu4ueL3J3pfNF7q50vsjdlc4Xufut+dmvdYfhUAIM+35X5LGIiFyRkiLl7uVXEIdDQkoKXxwhIhLVX3/9hYyMDAwYMAC+vr6oUqUKYmNjsXr1apQsWRJTp05FTEwMdDodateujQceeADHjh27LcdiseDVV1/FoEGD4O/vj4CAADz//PM4fvw4ZFnGd999B6vVij59+sDPzw9RUVFo3749VqxYocJRExE5JaWfx/oT6wAAJXxKoHWVduoWIiK34ltUbyHuHn8OXLp0ESVLRiq0L5M28wu3x582u2s13717/HnW2Lgq/z3+xOiuRn5B2UXf489zx8ZVN/f4K76xQdOmcJSvAP8lC5H15BNufywiIleEhsrQ6eRCTf7pdDJCQ3nVMhGRyG59w1twcDASExMRExOTe5vVasWOHTtw5swZNGzY8LYMk8mE9u3b536elJSEpUuXonnz5pAkCYcOHcKDDz4Ivf7m7zE1atTAqlWrFDgiIqLCWXhoHmwOGwCga1R3+Bh8VG5ERO7Eib9biLzHX1ZWjqL7Mmk1vzB7/Gm1u1bz3bnHn6eNjavy2+NPlO7FnV+Y7KLu8efJY+OqG3v8Fd/Y6JD16mvwmzYF198dDzko2O2PR0R0r1q0sGHTJmOhvtbhkPDcczaFGxERkVJq1aoFX19fTJs2DX369MHly5exdOlSXLt2LfdrPv/8c3zyyScICQnBBx98gGrVqt01s2bNmrBarWjSpAnGjh0LwLmkaFBQUJ6vCwkJQWpqKhwOR75vuFP6TelqUuoN8SLgsXsvrR1/ti0biw4vAAAYdAb0rBUPk0mZjlo79uLEY/dOWjl2TvwRERGRKrI7d4Hfh+/DvHY1srvFql2HiAgvvmjD8OEy0tIA4M6vuEqSjKAg4IUXOPFHRCSq4OBgfPbZZ5g4cSIWL16MKlWqoE2bNjh48GDu1/Tt2xdxcXHYvXs3hg8fDqPRiAYNGtwx8+DBg7hw4QImTpyI2NhYLFmy5I5fe7fl9YvjTelqUuIN8aLgsXsvLR3/yiMrkZyVDAB44f5WCDdFKtpPS8de3Hjs3kkLx849/oiIiEgVjshSsDZoCJ81K9WuQkQEADCbgfLlHSho0g8APv00Cz5cEYmISGi1a9fGqlWrsG/fPqxYsQIhISGIjIzM8zUmkwmNGjVCs2bNsHTp0gIzS5UqheHDh2Pfvn04dOgQwsLCkJKSkudrUlNTERISosjy+kREdyPLMuYcmJn7eVxMbxXbEJFS+AzDQ0iShBIlwu/6jjFvzRe5u+j5IndXOl/k7krni9xd6XyRu98pP7tdBxh/+Rm606cUeUwionvx5ZdGHD7sXJrlxgTfjaWPb/w/KAhYtCgLzZqp/y5OIiJyXU5ODr766iukp6fn3rZnzx7UqlUL7777LiZPnpzn6yVJgsFw+8JZ//zzDxo0aJBncu/GhJ7RaETNmjVx9OhR2Gw3rxJPSEjAQw895O5DIiIq0C9JPyMheT8AoFbJR1A78nGVGxGRErjU5y2UXkddyTVezeYAxbK1ml/Y8dRid63mu/sc9aSxcdWdxlSE7mrl3y3bHeeop46Nq/47psU9NnKrVpAHD4D/12uQ89YQRR+biOhuzp6V8O675tzPFy3KwvXrEjZvNuDaNR2Cgx147jkbXnjBxiv9iIg8gNFoxKefforjx49j4MCB2Lt3L9avX48lS5bg9OnTGDlyJOrXr4/atWtj//792LRpE4YNGwYA2L59OxYsWIClS5eiYsWKCAwMxLhx4zB69GjodDpMmTIFFSpUwP3334/7778fAQEBmDFjBuLi4vD3339j9erVmDRpksojQETeaE7Cf672i+6t2Bt/iUhdnPi7RXGso67EGq8OhwMXLpxHqVJlFFkqQsv5BY2nlrtrNd9d56gnjo2rbh1TkboXd35hsotyjnr62LjKYrGrMzZGH+S0eB6GFcuQ9sabUPTdN0REdyDLwKBBPkhPd/4d1LmzJfeKvvbtbTCZ9JrYp4GIiNxHp9Ph448/xujRo7F48WKUKlUKkyZNQlRUFKKionDt2jUMHz4cycnJKFWqFHr37o127doBANLS0nD69GkAgF6vx6xZszBu3Dg0aNAAJpMJMTExmDlzJkwmEwBg5syZGD16NGbPno3w8HAMHDgQzzzzjFqHTkRe6mzaGWz+ZwMAIMK3JF6s3FrlRkSkFE78eRBZlpmvQjbz1csWPV/k7krni9xd6XyRu98pP7tdB4SsXgHDgb9ge6iWoo9PRJSf5csN+PZb569GpUo5MGZMjsqNiIioOERHR2Pt2rX53tepUyd06tQp3/vatGmDNm3a5H5etmxZzJgx446PU7VqVSxbtqxoZYmIimjBwbmwy843s3WrGQuz3lzAdxCRqLjHHxEREanK+vQzcJQoAfP6dWpXISIvdOGChFGjbq7dOWVKNoKDVSxERERERORmmdZMLD78BQDAqDOia1QPdQsRkaI48UdERETqMhiQ07wlTBu/dq63R0RUTGQZGDzYB9evO5f4bN/eiiZNuKQnEREREXmWNcdWIiUnBQDwUuW2iPSLVLkRESlJkpVe00swqamZim4vZDDoYbO5/8UEWZZhs1lhMBgV2ZRVq/mFGU+tdtdqvjvPUU8bG1flN6aidFcjv6Dsop6jnjw2rroxpmqOjWHbFvi/3BZpP/0KR40otz+2OwQH+6ldQQiXL6epXUFR3rzXmyce++rVBvTt6wsAiIhwYPfuDISG3v51nnjshcVj985jB7z7+Hnsyh17RESgYtmexJOfT/Hni8fujdQ+flmW8cyKJ5F49TAAYFu77/BwyUeK5bHVPnY18dh57Eoo7HMp7vF3C6tV+RNSqT94h0OCLDsUydZyfmHGU6vdtZrvznPU08bGVfmNqSjd1cgvKLuo56gnj42rboypWmNjefJp+AYEQrduHbIrV1Ps8YmIbrh4UcKIETeX+Pzww5x8J/2IiIiIiES2+9wPuZN+j5WqU2yTfkSkHi716SEcDgeSks7B4VDqhWZx80XuLnq+yN2Vzhe5u9L5IndXOl/k7gXmm82wNG0G86YNijw2EdGthg83IyXFefXxSy9Z0bKlTeVGRERERETuNydhZu7HPaN7q9iEiIoLr/gjIiIiTchp+SJ81naF7uQ/cNx3v9p1hPbbb7+hR4+8m7XLsgyr1Yr+/ftjxowZee5zOBx45JFH8OWXX+abt3PnTkyePBnnzp1DxYoVMWzYMNSrV0+x/kRKW7/egI0bjQCA8HAH3n8/R+VGRERERETud+raSWw9uRkAUNq/DFre/6LKjYioOHDij4iIiDTB2rAxZKMRpl3bkR0br3YdoT322GNISEjIc9vMmTNx5MgR9O3bF3379s1zX2xsLBo3bpxvVmJiIoYPH47JkyejTp062LBhAz755BM8/vjjMBqNih0DkVKSkyUMG2bO/XzChByEh3PbcyIiIiLyPPMPzoEM53Pd7jXjYNTzdzgib8ClPomIiEgT5IBAWOs8CdOuHWpX8Tjnz5/HggULMGTIkNvu27JlCy5fvowOHTrk+72LFi3Ciy++iKeffhpmsxnt2rXD8uXLOelHwhoxwozkZOevQc89Z8WLL3KJTyIiIiLyPOnWdCxNdK7qYtab8WqNbuoWIqJiw4k/D6HT6VC6dFnodMr8kYqcL3J30fNF7q50vsjdlc4XubvS+SJ3L2y+pVETmHb/AGRnK9LBW02bNg1t27ZFmTJl8txut9sxefJkDBo0CHq9Pt/v/eOPPxASEoIuXbrg0UcfRceOHXHo0KHiqE3kdps3G/DVV85J69BQGRMn5kCSVC5FRERERKSAlUeX4brlGgCgbZWXEe4brnIjIiouXOrzFkajXtFf/g2G/F9UKypZlmGz2WEw6CApcABazS/MeGq1u1bz3XmOetrYuCq/MRWluxr5BWUX9Rz15LFx1Y0x1cLYyM2aQho7Cn5/7IWtYf5LT9K9OXv2LLZt24Zt27bddt/GjRsREBCABg0a3PH7L1y4gLVr12L69OmoVKkSJk+ejN69e2Pbtm3w9fW97euVfi6lNqWey4lA9GNPSQGGDvXJ/fyDDywoX75wb3QQ/diLgsfuvbz5+HnsREQkOofswLwDs3I/j4vprWIbIipunPi7hdVqV/wxLBb3P4bD4UBS0nnFrtTQcn5B46nl7lrNd9c56olj46pbx1Sk7sWdX5jsopyjnj42rrJY7NoYm8rV4Fe6DKSt22Cp94zbO3ijJUuWoGnTpoiIiLjtvoULF6JLly53/X5ZltGqVSvUrFkTADB48GCsWrUKf/zxB5566qnbvr44nkupTYnncqIQ+diHDvXBxYvOWemmTW146SULLJbCf7/Ix15UPHbv5c3Hz2MnIiKRfXdmF46l/g0AqFvmKdQMj1a5EREVJy71SURERNohSbA0ehamXdvVbuIxtm7dikaNGt12+5kzZ5CYmIiGDRve9fsjIiIQFBSU+7m/vz9CQ0ORnJzs9q5EStm+XY+VK51LfAYFyZg0Kdujr0wlIiIiIu8298DM3I/jonm1H5G34cQfERERaYqlYWMY/j4K3bmzalcRXmJiIs6dO4d69erddt/OnTtRvXp1hIWF3TXjgQceQGJiYu7nGRkZSElJuW2/QCKtun4deOutm0t8jh2bjdKlZRUbEREREREp50TqMez417nVQ7mA8mh+33MqNyKi4salPj2IEvsxeUq+yN1Fzxe5u9L5IndXOl/k7krni9y9sPnWuvUBAMafdiOnfUdF+3i6w4cPIyQkBAEBAbfdl5iYiHLlyt12+4EDBzBkyBCsX78eJpMJHTt2xIABA/D888/jsccew9SpU1GuXDk88sgjxXEIREX27rtmJCU53+/YsKENnTrZVG5ERERFYbPZcODAARw7dgxXr16FLMsICwtD1apVERMTA4OBL3URkXeblzA79+Me0b1g0PHvRSJvw596D6HT6VCmzO0v3jFf7O6i54vcXel8kbsrnS9yd6XzRe5+L/lyeDhs1arD+PMeTvwVUXJycr57+924r2LFirfdnpWVhZMnT0KWnVdENW7cGMOGDcM777yDK1euICYmBrNnz+aLaiSE777TY/FiEwAgIEDGlClc4pOISFQXL17E3LlzsWbNGuTk5KBUqVIIDQ2FJEm4evUqLly4ALPZjHbt2iE2NhaRkZFqVyYiKnZplutYdmQJAMDX4ItXqt99T3ci8kySfONVHQIAXL6cpmi+yaRXZKNsWZaRk5MNs9lHkas1tJpfmPHUanet5rvzHPW0sXFVfmMqSnc18gvKLuo56slj46obY6qlsQkY+iaM33+LlL1/ur2HqyIiAtWuIASln0upTannciIQ7djT04Gnn/bH2bPOq/0mTcrGa69ZXcoS7djdicfunccOePfx89iVO3ZXn09t2rQJ7777LmrXro2OHTvi0UcfvW1Fg4yMDPz+++9YuXIlfv/9d4wePRrPPSfm8nae/HyKP188dm9UnMc/e//nGLlnGACga40emPzMx8XyuHfizX/2PHYeuxIK+1yKe/x5CFmWceVKMpSaxxU5X+TuoueL3F3pfJG7K50vcnel80Xufq/51rpPwfDPCeguJCnShYg839ix5txJv6eesqFLF9cm/YiISH0zZ87EF198gRkzZqBBgwb5LmPu7++PBg0a4LPPPsOCBQswY8YMFZoSEanHITswN2FW7udxMfEqtiEiNXGNJiIiItIcyxP1APz/Pn9t2qvchohEs2ePHl984Vzi089PxkcfZUPHtzwSEQlrzZo1MJlMeW6z2+34559/kJaWBn9/fzzwwAO5S5HXqFEDa9asUaMqEZFqdpzeilPXTwIAni7XENXCqqvciIjUwok/IiIi0hw5MhK2KlVh/GkPJ/6I6J5kZAADBvjkfj5yZA4qVeLuBkREIrt10u/777/HyJEjERERAV9fX6SmpuLKlSuYMGECGjZsmO/3EBF5ujkHZuZ+3DOmt4pNiEhtnPi7hdGohwLbGuUyGPSK5DocEnx9zTCZ9NAp8HZmreYXZjy12l2r+e48Rz1tbFyV35iK0l2N/IKyi3qOevLYuOrGmGptbOz1noJp788wmZT5t5OIPNOECWacPu38O+aJJ2zo0YNLfBIReQKLxZI7mTdjxgysWrUKpUqVyr3/6NGj6NmzZ+7EHxGRNzl69Qi+P/stAKBiUCU8W6Gpyo2ISE2c+LuF1ar8ppNKbe4YFlYSNpsMwLvyCzOeWu2u1Xx3nqOeNjauym9MRemuRn5B2UU9Rz15bFx1Y0y1NDZSrdowLVwA65UUyIFBivQhIs/yyy96zJljBAD4+Mj4+GMu8UlE5ClatWqFMWPG4PHHH4der0dSUlKeib9Lly7lLvVJRORt8uztFx0PvY5voCXyZnxG5CFkWUZmZgb8/PwhKXDJosj5IncXPV/k7krni9xd6XyRuyudL3J3V/Jtj9SGJMsw/LkP1qefcXsfLbp06RJ++eUXHDt2DFevXoUsywgLC0PVqlVRp04dlCxZUu2KRJqVleVc4lOWnX+/DBuWg/vv5xKfRESeYuLEiRg9ejSqVauGXr164Z133sGlS5fg7++Pa9euoVSpUpg4caLaNYmIil1qdgpWHV0GAPA3BqBTtVdVbkREauPEn4eQZRmpqSnw9fVT7MVaUfNF7i56vsjdlc4XubvS+SJ3Vzpf5O6u5NurVIUjMAjGfb97/MTf4cOH8cknn+C7775DaGgoKleujNDQUEiShDNnzmDt2rVISUnBM888gzfeeAPVq3OTdqJbffihGSdOOC/ve/RRO+LjucQnEZEniYmJwerVq7Fw4UKMHTsW/fr1Q+PGjZGeno6AgAAEBASoXZGISBVLEr9Epi0TANCxWmcEmYNVbkREauPEHxEREWmTTgfbw4/AsO93tZsoavbs2ZgzZw5atWqFDRs2oHLlyvl+3fHjx7FixQq89tpr6NmzJ3r27FnMTYm0648/dJgxw7nEp9ksY9q0bOi5uhERkcfR6/Xo0aMHmjdvjvfeew9ff/01xowZw0k/IvJadocd8w/Ozv08tma8im2ISCu44wURERFplvXR2jD+8Tsge+5yfXv37sXGjRsxcuTIO076AUDlypUxYsQIbNiwAXv37i3GhkTalpPjXOLT4XBeSTx4sAVVqzpUbkVEREq5cuUKfHx8MGPGDHTs2BFxcXGYPXs27HZl9qgmItKyLac240zavwCAxhWaoHJoFZUbEZEWcOLPg5jNPsxXIZv56mWLni9yd6XzRe6udL7I3V3Jtz1SG7rLl6A7d1ahRuqbP38+IiMj89x29epVfPfdd9iwYQN27dqF5OTk3PsiIyMxb9684q5JpFlTpphw9Kjz8r6HHrKjb1+Lyo2IiEgJO3bswNNPP40XX3wRLVu2xLPPPgs/Pz+sXbsWly9fRtu2bbF//361axIRFau5B2bmftwzpreKTYhISyRZ9uC30Lvg8uU0RfNNJj0sFr4LzV04nu7HMXU/jql7cTzdT8tjKl28iPDoKrg2bxEsL7ykapeIiMBieZw1a9Zg+vTpiImJga+vL1JTU5GQkICBAwfi5ZdfLpYORaH0cym1afnnRWlaPPYDB3Ro1swPdrsEo1HG9u2ZqFHD/Vf7afHYiwuP3TuPHfDu4+exK3fsRXk+Vb9+fcyZMwfVqlUDAOzbtw+DBg3Ct99+CwA4ePAgxowZg1WrVrmlq5o8+fkUf7547N5IqeM/lHwQDVfWBQA8EFIZezr9Dp2kret8vPnPnsfOY1dCYZ9LcY8/DyHLMtLSriMwMAiSJDG/mLKZr1626Pkid1c6X+TuSueL3N3VfDkyEvaSkTAcSlB94k9JKSkpCA0NBQCsXLkSmzdvhr+/f+79Fy9exEsvvSTExB9RcbFYgH79fGC3O/8+GTjQosikHxERaYMsy3meQxoMBjgcN//er1mzJlasWKFGNSIiVcxNuHm1X1x0b81N+hGRevi3gYe48WKqUhdwipwvcnfR80XurnS+yN2Vzhe5u9L5IncvSr69ZjQMBxMU6aQVbdq0wbp16wAAfn5++Pbbb5GRkQEAuHbtGr777juUKFFCxYZE2jNtmgmHDzuX+IyKsqN/fy7xSUTkyUaOHInY2Fg89dRTqFu3Lvr164d33303z9fodHyZi4i8w5WsK1jz90oAQKApCB0e7KRyIyLSEl7xR0RERJpmi4qGea34SzbdzeLFi/Hee+/hq6++Qo8ePbBs2TK89957SEtLQ2BgIB566CF8/PHHatck0oxDh3SYOtUEANDrZUyfng2jUeVSRESkmJycHDRv3hzNmjVDcnIyJElCeHj4Xb/HYrHAZDIVU0MiouK1+PAXyLZnAwA6V++CAFPxbE1BRGLgW6GIiIhI02w1o6E/dxZSylW1qyimbNmymDlzJjp37oxx48YhJiYGe/bsweHDh/HLL79g9uzZqFy5sto1iTTBagX69/eBzeZc7q1fPwuio7nEJxGRJ2vTpg0OHjwISZIQERFR4KTfwYMH0bp162JqR0RUvKx2KxYcnAsAkCAhtmYvlRsRkdZ4xcRfeno6+vbtiy5duuCVV17BoUOH1K7kdpIkwc/PX5E9mUTPF7m76Pkid1c6X+TuSueL3F3pfJG7FyXfFhUNADAcOqhELU1p1qwZvvrqK1y9ehVt2rTBn3/+qXYlIs35/HMTDhxwLvFZrZodb77JJT6JiDzdwIEDERsbi169emHHjh24fv36bV+TlpaGHTt2ID4+HnFxcRg4cKAKTYmIlLf55AaczzgHAGhWqQUqBd+nciMi0hpJVmojHw1ZvHgxrl69in79+mHfvn2YNWsWZs2ale/XXr6cpmgXk0kPi8Wu6GN4E46n+3FM3Y9j6l4cT/fT/Jja7Qi/vwwyho9CVu/XVasREaHs0inp6en4559/AACVK1fGiRMn8O677yIqKgqDBw9GYKAYS7co/VxKbZr/eVGQFo796FEdGjf2g8UiQaeT8c03mahVS/mr/bRw7GrhsXvnsQPeffw8duWOvSjPp5KTkzF37lysXr0amZmZiIyMRHBwMCRJQmpqKi5dugRfX1+0b98esbGxBV4VqGWe/HyKP188dm/k7uN/fm1T/HphLwBg9Yvr8XS5Z9yW7W7e/GfPY+exK6Gwz6W8Yo+/kJCQ3BfS0tLSEBoaqnIj95NlGampKQgJCVXkSg2R80XuLnq+yN2Vzhe5u9L5IndXOl/k7kXK1+thq1bdo6/4W7p0KaZPn44KFSrA4XDg/PnzGDJkCFatWoVFixahXbt2GDBgAFq0aKF2VSLV2O3AgAE+sFicf3/07Wsplkk/IiLShvDwcAwbNgyDBw/GgQMHcPz4caSmpgJwvu5TpUoVREdHQ6/Xq1uUiEhB+y/9mTvpVy2sOuqXbaByIyLSIs1O/P34448YOnQo6tSpg6lTp+befu7cOYwZMwb79++Hn58fnnvuOQwaNAg63Z1XLW3ZsiVWrFiBpk2bIjMzE4sXLy6OQyhWsiwjMzMDwcEhir1YK2q+yN1Fzxe5u9L5IndXOl/k7krni9y9qPn2B6tDfzTR7Z20Yvr06di4cWPuO9PPnDmDjh074qWXXkK3bt3QrFkzjBs3jhN/5NVmzjTijz+cL+Y+8IADgwdziU8iIm+k1+tRq1Yt1KpVS+0qRETFbk7CzNyP46J7K7ZVBxGJTZMTf3PmzMHq1atRsWLF2+574403EBUVhR07duDKlSuIj49HeHg4unfvjlWrVmHVqlV5vn7s2LE4cuQIHnjgAXz55ZdISEjAO++8g0WLFhXX4RAREVER2ao8CNPG9YAsAx74i01AQAASEhJQr149yLKMgwcPIiAgIPf+0qVL47PPPlOxIZG6TpyQMHGiGQAgSTKmTcuCr6/KpYiIiIiIitGlzEtYd2wNACDEHIJ2VTuo3IiItEqTE39msxmrV6/G+PHjkZOTk3t7QkICjhw5ggULFiAwMBCBgYHo1q0bFi5ciO7du6N9+/Zo3779bXnLli1D/fr1AQDR0dE4efJksR0LERERFZ296oPQpadBdyEJjtJl1K7jdhMmTMDEiRPRr18/6HQ61KhRAx9++KHatYg0weFwLvGZne2c9O/Vy4rHH+cSn0REVHQHDx7Ehx9+iEOHDsHPzw/dunVDbGwsAGDJkiVYtGgRLl68iIiICHTs2DH3vlulpKTggw8+wO7du2Gz2fDYY49hxIgRKF26NADgwQcfhNFozHNlzssvv4xRo0Ypf5BE5DEWHZoPi8O56sWrNbrBz+inciMi0ipNTvx17do139sPHTqEsmXLIjg4OPe2qKgonDx5Eunp6XneGf9fFStWREJCAp599ln8+++/CAsLu+NjG416RS8kMBiUWWtelnUICwuF2WxQaHk2beYXZjy12l2r+e48Rz1tbFyV35iK0l2N/IKyi3qOevLYuOrGmGp5bHQ1qgEAzCePwV6xvNu7qenq1at47LHHsHr16nv6nrs9nyHyJPPmGfHLL85fWypVcmD48JwCvoOIiKhgqampiIuLQ/v27TFr1iycPXsW8fHxKFOmDIxGI6ZPn445c+agZs2a2LdvH3r06IGKFSvi2WefvS1r+PDhsFqt2LBhA3Q6HYYOHYrhw4fjiy++yP2aLVu2oFy5csV4hETkSSx2C744NA8AoJN06F4zTuVGRKRlmpz4u5PU1FQEBQXlue3GJGBKSsodJ/46dOiA4cOHo0uXLrDZbBg9evQdH8Nqtbuv8B1YLMo8hq9vAKxW5d79rNX8woynVrtrNd+d56injY2r8htTUbqrkV9QdlHPUU8eG1fdGFPNjk3p8ggwmSAfToSlrmdtXt66dWuMGDECTZs2LdTXb9u2De+//z6+++47ZYsRacDJkxLGjzfnfv7xx9nw4xubiYjoDpKSknKvsivIX3/9hYyMDAwYMAB6vR5VqlRBbGwsVq9ejf79+2Pq1KmIiYkBANSuXRsPPPAAjh07dtvEnyzLiIyMxCuvvJL7xqyOHTuiX79+kGWZ+28RkVusP/EVLmVeBAA8d98LKB9YQeVGRKRlQk38Ac4nVPfK398f06dPL9TXinrFn8PhwJUryShRIhw6nc5r8gsznlrtrtV8d56jnjY2rspvTEXprkZ+QdlFPUc9eWxcdWNMNT02Jj0clSvDdOIYHCZl/i1VyyeffII333wT06dPR7t27fDEE0+gatWquWPkcDhw7Ngx7N27F6tXr0Z2djY++eQTlVsTKc/hAN580weZmc4n5927W1C3rvJv0iMiInE1b94c+/fvL/TX3zopFxwcjMTExNwJPwCwWq3YsWMHzpw5g4YNG+abMWbMmDy3JSUlISIiIk/+lClT8OeffyI9PR0tWrTAsGHD4O/vX+iuROTd5h6Ymftxz5jeKjYhIhEINfEXFhaG1NTUPLelpqZCkiS3LXcl6hV/DocD6emZCAy0Q6e798lRkfMLGk8td9dqvrvOUU8cG1fdOqYidS/u/MJkF+Uc9fSxcZXFYtf82FgrPwjd0aOKXTmvlpiYGGzatAkrV67E8uXL8cEHH0CSJAQEBECSJKSlpQEA7r//fnTq1Ant27eH2WwuIJVIfIsWGbFnj/PXlfLlHRg1ikt8EhHR3d3Lm8Vr1aoFX19fTJs2DX369MHly5exdOlSXLt2LfdrPv/8c3zyyScICQnBBx98gGrVqhWYe/bsWUybNg1vvfVW7m0PP/ww6tati4kTJ+LMmTMYMGAAxowZc8c9nd3xpvQz18/gSnZyob++hE84ygcpv6S+Um+IFwGP3XsV9fh/S/oV+y79AQCoGR6NpyvWF+ZqYm/+s+exeyetHLvbJ/6UXMagZs2aSEpKyrOvTUJCAipXrsx3SREREXk4e+UqMC7+Se0aijCbzejSpQu6dOmCy5cv4/jx40hJSQEAhIaGonLlyoiIiFC5JVHxOXNGwpgxNye4P/ooG3dY1Z+IiLxEx44dC/wam81W6Lzg4GB89tlnmDhxIhYvXowqVaqgTZs2OHjwYO7X9O3bF3Fxcdi9ezeGDx8Oo9GIBg3uvOz8iRMnEBsbi9atW6N9+/a5t69YsSL34wceeABvvfUW+vTpg3HjxsFkMt2WU9Q3pZ9NO4Mnlz6CHHvh3zRj1pvxc+d9KBeo/OSfp72R717w2L1XUY5/xr7Pcj/uGd1H0e05lODNf/Y8du+khWO/54m/zZs3Y/v27QCAF198Mc8yB8ePH8eIESPyPKFxpxo1aiA6OhpTpkzB8OHDcfHiRSxYsAA9evRw22OIu9SnBINBB5NJr9DybNrML9xSn9rsrtV89y716Vlj46r8l/oUo7sa+QVlF32pT88dG1fdXOpT22MjVXsQ+ksXYcrOAG7Z89eTREREcJKPvJosO5f4zMhwPinv0sWCBg3U/8WJiIjUdfXqVVSqVCnPMpz/Jctynkm7wqhduzZWrVqV+/nWrVsRGRmZ52tMJhMaNWqEZs2aYenSpXec+Dtw4AB69uyJHj16ID4+/q6PW65cOdjtdly5cqXQexLei6vZV+5p0g8Acuw5uJp9pVgm/oio8C5kJGH9iXUAgBI+JdC6Sjt1CxGREO5p4m/ZsmX48MMP0bJlS1itVgwcOBDjxo1D8+bNMWPGDMyePRtNmzYtcqno6GgAN9+ptWPHDgDOq/umT5+OUaNGoV69eggICEDHjh3RuXPnIj/mDaIu9SnLMgICgmG1OiBJ7l+eTcv5BY2nlrtrNd9d56gnjo2rbh1TkboXd35hsotyjnr62LjKYrFrfmwc5SrCD4D9+D+w14x2ez8i0oalS434/nvnryllyjgwejSX+CQiIuceef369cP48ePv+CapuXPnFjovJycHmzdvRpMmTRDw/5eV79mzB7Vq1cK7776LgICAPMt1SpIEgyH/l9FOnTqFXr16YejQoWjTpk2e+w4fPoz169dj2LBhubedOHECJpMJJUuWLHRfIvJOXxycC5vD+Rp516ju8DH4qNyIiERwTxN/S5cuxfTp01G/fn0AQLNmzTBx4kTMmjUL2dnZmDFjBp566qkil0pISLjjfaVKlcKcOXOK/BieRpIk+Psrt/6RyPkidxc9X+TuSueL3F3pfJG7K50vcnd35Nsr3gcA0J8+xYk/Ig+VlCThnXduLvE5ZUq2J1/gS0RE9yA6OhpvvvkmfvjhB7Rt2zbfr7mXq+eMRiM+/fRTHD9+HAMHDsTevXuxfv16LFmyBKdPn8bIkSNRv3591K5dG/v378emTZtyJ++2b9+OBQsWYOnSpQCAsWPH4uWXX75t0g8ASpQogRUrViAsLAzdunXDuXPnMG3aNHTo0AF6vTb2ASIibcq2ZWPR4QUAAIPOgG5RcSo3IiJR3NM6W2fPnkW9evVyP3/qqadw5swZNGrUCBs3bnTLpB+5xuFw4OLFC3A4lFnjWeR8kbuLni9yd6XzRe6udL7I3ZXOF7m7O/Ll8HA4/AOgP33KvcWISBNkGXjrLR+kpTmX+OzQwYrGjbnEJxER3fTCCy/ccdIPALZs2VLoLJ1Oh48//hg///wzHn30Ubz33nuYNGkSoqKi8Nxzz2Hw4MEYPnw4atWqhWHDhqF3795o1865xF5aWhpOnz4NAEhKSsKePXswf/58REdH5/nvt99+Q2RkJGbPno1du3ahTp066NixI+rXr4/BgwcXbTCIyOOtO74GyVnJAIAX7m+F0gFlVG5ERKK4pyv+HA5Hnj15TCYTjEYjBg4c6PZiahF5jz/Arui+TFrML+wef1rsrtV8d+/x50lj46o77fEnQnc18gvKdscef546Nq767x5/Wh8buVIlGM+cgt3kee+OTk9Px759+6DX61GrVi34+fmpXYmoWK1aZcD27c5fTyIjHXjvvWyVGxERkQhmzpyJ3r17u/S90dHRWLt2bb73derUCZ06dcr3vjZt2uRe3Ve6dGkcPXr0ro/z2GOPYfny5S51JCLvJMsy5hyYmft5XIxrf88RkXe6p4k/byDqHn8OhwM2mwMWix06nfv3ZdJyfkHjqeXuWs131znqiWPjqlvHVKTuxZ1fmOyinKOePjausljsQoyNrUIlSP/8o8i/pWo6evQoYmNjcf36dciyjPDwcMyfPx/33Xef2tWIisXFixJGjry5X8mkSdkICVGvDxERiWPGjBkuT/wREWnVL0k/IyF5PwDg4YhaqB35uMqNiEgk9/R2e1mWcerUKZw8eTL3v/xuIyIiIlKCvWIl6Dxwqc/Jkyfj+eefx19//YV9+/ahSZMm+PDDD9WuRVQsZBkYMsSM1FTnshtt2ljRvLlnTe4TEZFyZNn9b1gjIlLbnISbV/v1jOkDSckl6ojI49zTFX8WiwUtWrS47UlV8+bNIUkSZFmGJElITEx0a0kqmCRJKFEiXLF/BETOF7m76Pkid1c6X+TuSueL3F3pfJG7uyvfXrES9Gf+Bex2QO85y30mJCRg6tSp0Ol00Ol0eP3119GiRQu1axEVi6+/NuCbb4wAgPBwB8aPz1G5ERERiaRMGe55RUSe5WzaGWz+ZwMAIMK3JF6s3FrlRkQkmnua+Nu5c2eBX3Pp0iWXy2iBqHv8AYDZHKBYtlbzCzueWuyu1Xx3n6OeNDauutOYitBdrfy7ZbvjHPXUsXHVf8dU62Ojq3w/JKsV5uSLkMuXd1Mr9WVlZSEg4ObYBAUFIT09XcVGRMUjOVnC8OHm3M8nTsxBiRK8coOIiO4sIyMD/v7+uZ9v2bIl9+PTp0+jYsWKatQiInKbBQfnwi47V8DoVjMWZr25gO8gIsrrnib+ypYtW+DXPPfcc9i/f7/LhdQm8h5/Fy6cR6lSZaDT3dMKrsLnF2aPP61212q+O/f487SxcVV+e/yJ0r248wuTXdQ9/jx5bFx1Y48/rY+NvUwF+ANw/HMS1ki+u5tIdMOHm3HlivPvgxdesOKFF2wqNyIiIq3r3Lkz5syZg5IlS+a5fcmSJZg8eTL+/PNPlZoRERVdpjUTiw9/AQAw6ozoGtVD3UJEJKR7mvgrDK6trh6lx17kfJG7i54vcnel80XurnS+yN2Vzhe5uzvy7aWdk3268+fcUUcz7HY79uzZk2d8HA7Hbbc99dRTatQjUsTGjQZ8/bVzic+wMAcmTOASn0REVLB69eqhffv2mD17Nh588EFcvHgRw4cPx99//43JkyerXU9oaTnX1a5A5PXWHFuJlJwUAMBLldsi0i9S5UZEJCK3T/xxo1EiIiJSTEAAHMEh0J3zrIk/m82G2NjY227/723cR5k8ydWrwNChN5csGj8+ByVL8g2ERERUsCFDhqBKlSro1q0bOnbsiCVLluDJJ5/Ehg0bEBoaqnY9TQjzKQGz3owc+729qWb8L2OxrvRmmPQmhZoR0d3Isoy5B2bmfh4XHa9iGyISmdsn/kQn6h5/DocEg0EHk0mv0PJs2swvzHhqtbtW8915jnra2LgqvzEVpbsa+QVlF/Uc9eSxcdWNMRVlbOSyZWC8mAS7Sbl9c4vbkSNH1K5AVKxGjvTB5cvOvweaN7eiTRsu8UlERIXXunVrVKpUCa+//joaN26MCRMmqF1JU8oFlsfPnffhavaVAr/2fPp59NvVG6k5qfj94q8Y9F0/TG80g2/sJ1LB7nM/IPHqYQBA7cjHUSvyUZUbEZGo7mnib8WKFQV+jd2u/B55ShJ1jz9ZlhEWVhJWqwOS5P53S2s5v6Dx1HJ3rea76xz1xLFx1a1jKlL34s4vTHZRzlFPHxtXWSx2YcbGVroscOaMIv+eatXu3buxZs0aTJ06Ve0qREW2bZseq1c7l/gMDpYxaVKOom+8IyIi8Q0aNCjf2ytUqIANGzYgKysLer3zTWFTpkwpzmqaVS6wPMoFli/w62IiHsbSlqvR5uvnkW3PxoqjS1Ep+D4Mqj20GFoS0X/NSbh5tV+vmD4qNiEi0d3TxN+sWbMK/JpbN1em4iFJEvR6vWLvyBI5X+TuoueL3F3pfJG7K50vcnel80Xu7s58R5myMBzY76ZW2nX27FmsXbsW69atQ3JyMp599lm1KxEV2bVrwFtv+eR+/t572YiM5BKfRER0dyZT/ktPVqpUCZUqVSreMh6odqnH8WnjWYjb9hoAYOKv41ExqBLaVe2gcjMi73H6+ilsPbkZAFDavwxa3v+iyo2ISGT3NPG3a9cupXpQETkcDiQlnUPp0mUVWp5N3HyRu4ueL3J3pfNF7q50vsjdlc4Xubs78x1lykL/zSY3NtMOi8WCrVu3Ys2aNfjll18AAP3790enTp0QHByscjuiohs92owLF5w//40b29ChA5f4JCKignEpT+W9WLk1RqWdxns/vwMAGLDrfygXUB5PlKmrcjMi7zAvYTZkON8Q171mHIx6o8qNiEhk3OOPiIiIhGIvUxa65MtATg5gNqtdxy0OHjyI1atXY9OmTQgODsZLL72EMWPG4KWXXkLLli056UceYdcuPZYudV6xERAgY/LkbC7xSURE9ywtLQ0rV67EiRMnkJOTc9v9XOrTda8/3B+nrp3El4cXwOKw4LVvOmFz2x14IKSK2tWIPFq6NR1LE78EAJj1Zrxao5u6hYhIeJz4IyIiIqE4SpcBAOiSzsNR6T6V27hHu3bt8Nxzz2H27NmoVauW2nWI3C4tDRg06OYSn2PG5KBsWS7xSURE927gwIE4evQoHn30Ufj6+qpdx6NIkoSJT0/B2bR/8e2ZnUjJSUGnje2wue1OhPuGq12PyGOtPLoM1y3XAABtq7zMnzciKjJO/N3CaNQr+s5jg0GvSK7DIcFg0MFk0iu0PJs28wsznlrtrtV8d56jnjY2rspvTEXprkZ+QdlFPUc9eWxcdWNMRRkbXcXyAABz8kXYq1Z2Vz1VtWzZEjt37sTFixfRqlUrtGjRAoGBgWrXInKbMWPMOHfO+XNfv74Nr75qVbkRERGJ6o8//sCWLVsQGRmpdhWPZNAZMLfZQjy/thkSrx7Cqesn8do3nbDmxQ3wMfgUHEBE98QhOzDvwKzcz2Nj4lVsQ0SeghN/t7Ba7Yo/hsWizGNERJSGzSYD8K78woynVrtrNd+d56injY2r8htTUbqrkV9QdlHPUU8eG1fdGFMRxkYKKYFAAPakC4r9m1rcpkyZguvXr+Prr7/G0qVLMW7cODzzzDOw2+2QZV4VRWL78Uc9Fi1yLvHp5ydj6lQu8UlERK4rVaoU/P391a7h0QJNQVjachVarG2MCxlJ+O3CL3hjZ2/MajofOsn9bxAk8mbfndmFY6l/AwCeLFMP0eExKjciIk/Af609hCzLir44KHK+yN1Fzxe5u9L5IndXOl/k7krni9zdnflySChkoxG6S5fc1EwbgoKC0KVLF6xbtw5LlixBaGgoTCYTXn75Zbz//vs4evRoobN+++03REdH5/mvZs2aePDBB/H555/fdl9UVBS6dOlSYO6OHTvw4IMP4pdffinKoZIXSU8HBg68eXXAqFE5qFCBk9lEROS6t99+G+PHj8/d489iseT5j9yjbGA5LHluJfwMzknWr0+sxft7x6rcisjzzD0wM/fjntF9VGxCRJ6EE38eQpZlXLp0QdEXa0XNF7m76Pkid1c6X+TuSueL3F3pfJG7uzVfkuCIKAnd5YvuKaZB0dHRGDNmDHbv3o2hQ4fi4MGDeOmllwr9/Y899hgSEhLy/Pf666+jRYsW6Nu37233PfHEE2jRosVdMzMzMzFhwgT4+fkV8ejIm7z/vhn//uv8laNuXRu6d+cSn0REVDQDBw7E+vXr8fzzz+Phhx/GQw89lOc/cp/oiIcw+z9X+U3/8yMsPrxQ5VZEnuOf1OPY8e82AEC5gPJoft9zKjciIk/BpT6JiIhIOM6Jv8tq11Ccj48PWrdujdatW+PkyZMu55w/fx4LFizAV199ddt9W7ZsweXLl9GhQ4e7ZnzyySd48skn8dNPP7ncg7zL3r16zJ3rXOLT11fGRx9lQ4HtQ4mIyMt8/vnnalfwKk0rtcD4pyZi+I+DAQCDvx+AcoHl8Uz5Rio3IxLf3ISbe/v1iO4Fg44v1RORe/BvEyIiIhKOIyICusuetdQn4Jygmz9/Pk6fPo2cnJzb7l+0aJFLudOmTUPbtm1RpkyZPLfb7XZMnjwZo0aNgl6vv+P3Hz16FOvXr8eGDRs48UeFkpkJ9O9/c4nPt9/Owf33c4lPIiIquscff/yO97355pt3vZ9cExsdj1PXTmLWgc9hl+2I3doVG1tvQ/USNdSuRiSsNMt1LDuyBADga/DFK9UL3nqBiKiwOPHnQSRJYr4K2cxXL1v0fJG7K50vcnel80Xu7s58R8lIGI4muiVLS15//XU4HA48/vjjMJvNbsk8e/Ystm3bhm3btt1238aNGxEQEIAGDRrc8ftlWcbo0aPRv39/hIWFuaUTeb6JE804edJ5eV/t2nbExXGJTyIicg+73Y7ly5fj4MGDefb0u3TpEv7++28Vm3m2d+uOx+m009hychPSLNfReVM7bGm7C5H+pdSuRiSkZYmLkWFNBwC0r9oJoT78XYuI3IcTf7cwGvVQ8jVPg+HO76YvGj0qVaqoULZ28ws3ntrsrtV8956jnjU2rsp/TMXork7+3bOLfo567ti46uaYijM2UqlI6H/8HiaTUv+uquPkyZPYvXs3/P393Za5ZMkSNG3aFBEREbfdt3DhQnTpcvd3lq5atQqyLKOwpU6GAACIoUlEQVR9+/aFejyln0upTbnnctpX2GP/7TcdZs0yAgDMZhmff26Br6/Y48Y/d+/kzccOePfx89i17b333sO3336L2rVrY8uWLWjZsiUSExNhMpkwY8YMtet5LL1OjxnPzkXrdc/hr8t/4lz6Wby6uQPWvbQZ/kb3PXcl8gYO2ZFnmc+4mHgV2xCRJ+LE3y2sVrvij2GxuP8xZFlGTk42zGYfRa7W0HJ+QeOp5e5azXfXOeqJY+OqW8dUpO7FnV+Y7KKco54+Nq6yWOxCjY0+LBzmy5dgybHBk2aZHn30UZw5cwbVqlVzW+bWrVsxdOjQ224/c+YMEhMT0bBhwzt+79WrVzFt2jTMnTu30H9mxfFcSm1KPJcTRUHHnp0N9O1rhsPhPF+GDLGgUiUb/nNBhrD45+6dvPnYAe8+fh67du3YsQOrV69GqVKlsH37dnz44YeQZRmTJ0/G0aNH8cgjj6hd0WP5G/3xZcuVeG5NY5xJ+xf7L/+J3tt74IvmS6HXaX/SmEgrdpzeilPXnXu41y/3DKqFVVe5ERF5Gp3aBcg9ZFnGlSvJkGVl9k4ROV/k7qLni9xd6XyRuyudL3J3pfNF7u7ufEfJSEjZ2ZDS09zQTDvGjx+PIUOGYOTIkfjkk0/w6aef5vnvXiUmJuLcuXOoV6/ebfft3LkT1atXv+vynd9//z1SU1PRrVs31KlTB3Xq1EFSUhL69u2L99577577kOebPNmEY8ecL/zVqmVHnz4eMONHRESakpOTg1KlnMtL6vV6WCwWSJKEXr168Yq/YhDpF4klLVchyBQMANh66hu8s2e4yq2IxDLnwMzcj3vF9FGxCRF5Kl7xR0RERMJxRJQEAOguX4I9MEjlNu4zevRonDp1CjqdDseOHctznyRJeP311+8p7/DhwwgJCUFAQMBt9yUmJqJcuXK33X7gwAEMGTIE69evR/PmzfHkk0/mub9Dhw4YNmwY6tate09dyPP99ZcOn31mAgAYjTI+/jgbBv62QUREbla1alV8+umniI+Px3333YdVq1bhlVdeQVJSEjIzM9Wu5xWqhVXHvGaL0GlTW9gcNsxJmIlKwfehJycwiAp09OoRfH/2WwBAxaBKeLZCU5UbEZEn4q/iREREJJwbE3/SpcvA/ZVVbuM+P//8MzZu3IgKFSq4JS85OTnfvf1u3Fex4u17LmZlZeHkyZOQZRm+vr7w9fXNc79er0dYWBiCg4Pd0pE8g8UC9O/vA7vducTnoEEWVK/uULkVERF5omHDhuHNN99Ejx490LdvXwwYMABTpkxBTk4OXnnlFbXreY0G5RticoNpGPDt/wAAo/YMR4WgSmhWqYXKzYi0Lc/eftHxXCaXiBTBiT8PYjAYma9CNvPVyxY9X+TuSueL3F3pfJG7uzPfEepcnlKXmuKWPK2oXLky/P393ZYXHx+P+Pj8N4qfN29evrfXqVMHR48evWPmrl273NKNPMvUqSYkJjpftIiOtuONN7jEJxERKSM6Ohrbt28HADz77LNYv349EhMTUbZsWTz88MPqlvMynat3walrJ/HxvslwyA7Eb+uOr1/6Bg+VrKV2NSJNSs1OwaqjywAA/sYAdKr2qsqNiMhTSbJSG/kI6vJlZfcKMpn0mt8oWyQcT/fjmLofx9S9OJ7uJ+SYWq2IKFsC16d9jpxOxfPLUkREoOKPsXnzZixfvhwvvPACIiMjodPl3Y75qaeeUrxDUSn9XEptQv68uMmdjj0hQYdmzfxgs0kwGGRs25aJmjU962o//rnz2L2RNx8/j125Y1f6+dSlS5dQsmRJRR+jOIj0fMohO9Bneyy+Or4GAFDSLxJb2u5CucDy+X49f7547N7oxvF/9ud0jPl5JAAgNroXJtSfrHIz5Xnznz2PnceuhMI+l+IVfx5ClmVkZmbAz88fkiQxv5iyma9etuj5IndXOl/k7krni9zd7flGIxyBQdBdveqechrx5ptvAgB+/fXX2+6TJAmJiYnFXYnorqxW5xKfNpvzZ7p/f4vHTfoREZE2ZGZmYuLEidixYwcA4MUXX8TgwYNz3yi1YsUKTJ48Gb/99puaNb2OTtJhWqMZOJd+Dr9e2ItLmRfxyqb22NB6K4LMXBqe6Aa7w475B2fnfh5bM/+VWYiI3IETfx5ClmWkpqbA19dPsRdrRc0Xubvo+SJ3Vzpf5O5K54vcXel8kbsrkS+HhnrcUp9HjhxRuwLRPfn0UxMOHnQu8Vm9uh0DB3KJTyIiUsb06dOxb98+DB06FBaLBXPnzoW/vz9efPFFjBgxAkePHsWgQYPUrumVfAw+WNhiGZ5b2xgnr/2DxKuHEbu1K5a2XA2jXtmtBIhEseXUZpxJ+xcA0LhCE1QOraJyIyLyZJz4IyIiIiE5QsMgedgVf0QiOXJEhylTTAAAvV7GtGnZMJlULkVERB5r+/btmD17Nh544AEAQFRUFLp27Yp58+ahUaNG+Pjjj1GiRAmVW3qvEr4lsKzlajy39llczb6K789+i6E/vIkpz0xX5E2FRKKZe2Bm7sc9Y3qr2ISIvAEn/m5hNOqh5PMRg0GvSK7DIcFg0MFk0t+2H5An5xdmPLXaXav57jxHPW1sXJXfmIrSXY38grKLeo568ti46saYCjc2YaEwXE+FyaTMv61EdGc2m3OJT4vF+cT5f/+z4OGHucQnEREpJzk5OXfSDwCqVauGrKwszJo1C/Xq1VOxGd1wf0hlfNFiGdp9/QIsDgsWJy5EpeD70e+RgWpXI1LVwcsJ2HP+RwDAAyGV8Uz5xio3IiJPx4m/W1itym86qcTmjg6HA3q9CRaLHTqd7FX5BY2nlrtrNd9d56gnjo2rbh1TkboXd35hsotyjnr62LjKYrELNzbmkFDoLl/22g2jidQ0Y4YJf/7pnHSvUsWOt97iEp9ERFS8JEmCXq/npJ/GPFH6SUxvPAO9t8cCAMbtHY2KQRXRqnIblZsRqWfWXzNyP46L7g2d5P432hIR/Rf/lvEQOp0O4eERilyhIXq+yN1Fzxe5u9L5IndXOl/k7krni9xdiXw5JBS6FM/a449IBMeO6fDhh841PSVJxscfZ8PHR+VSREREpBltqrTH8MdH5X7++s54/Jr0i4qNiNRzJesKVh1ZAQAINAWhw4OdVG5ERN6AV/x5CFmWkZZ2HYGBQYqsnS5yvsjdRc8XubvS+SJ3Vzpf5O5K54vcXYl8R2gYpBTu8UdUnOx25xKfOTnOn+H4eCsee4xLfBIRkfLsdjtWrlwJWZbveluHDh3UqEe3GPDoWzh9/RSWHvkSOfYcvPZNR2xuuxMPRlRRuxpRsVp8+Atk27MBAJ2rd0GAKVDlRkTkDTjx5yFuvJgaEBCo6Iu1IuaL3F30fJG7K50vcnel80XurnS+yN2VyJdDQ6HjxB9RsZo714jff3cu8XnffQ4MG5ajciMiIvIWJUuWxMyZM+96myRJnPjTCEmSMKnBxziTfgY/nv0OV7KvoPOmdtjeYRcC9CFq1yMqFla7FQsOzgUASJAQW7OXyo2IyFtw4o+IiIiE5AgNg5SVBWRlAb6+atch8nj//CPh/ffNAJxLfE6blg0/P5VLERGR19i1a5faFegeGfVGzG+2CM+vbYqjKUdwIvU4XtnYCSufXwez3qx2PSLFbT65AeczzgEAmlVqgUrB96nciIi8Bff4IyIiIiHJISEAAN31a+oWIfICDgfw+usmZGU5r9aNjbXiiSfsKrciIiIqmoMHD6Jr16549NFHUb9+fcybNy/3viVLlqBZs2Z4+OGH0aRJkzz33SolJQVDhw5FvXr1UKdOHbz++utISkrKvf/cuXPo1asX6tSpg4YNG2LSpElwOLxjqexgcwiWPr8aEb4lAQA/n9uD/rv65lmelchTzTlw84rkuJjeKjYhIm/DiT8PIUkS/Pz8FVmaTfR8kbuLni9yd6XzRe6udL7I3ZXOF7m7EvlyYJAzNy3NLXlEdGdffGHETz85l/isUMGBt9/mEp9ERCS21NRUxMXF4aGHHsLu3bsxf/58LFmyBN988w127NiB6dOnY9KkSdi3bx8mTJiAadOmYceOHflmDR8+HMnJydiwYQO2bt0Kq9WK4cOH597/xhtvIDIyEjt27MCCBQuwY8cOLFy4sLgOVXXlAytg8XMr4GtwrtKx9tgqfPjb+yq3IlLW/kt/4tcLewEA1UtUR/2yDVRuRETehBN/HkKSJISGhin6Yq2o+SJ3Fz1f5O5K54vcXel8kbsrnS9ydyXyHQHOTdGltOtuySOi/P37r4SxY28uxzV1ajYCAlQsRERE5AZ//fUXMjIyMGDAAPj6+qJKlSqIjY3F6tWrUbJkSUydOhUxMTHQ6XSoXbs2HnjgARw7duy2HFmWERkZiaFDhyIsLAwhISHo2LEj/vjjD8iyjISEBBw5cgRvvfUWAgMDUalSJXTr1g0rVqxQ4ajVUyvyUcx4dh4kOH8XmPL7RCw/skTlVkTKmZNw82q/+If7KvZ7NhFRfjjx5yFkWUZKylXFlkoQOV/k7qLni9xd6XyRuyudL3J3pfNF7q5EvhzEK/6IlCbLwJtv+iAz0/lCRdeuFtSvzyU+iYjIM9z6QnxwcDASExMRExODunXrAgCsViu++eYbnDlzBg0bNsw3Y8yYMahatWrubUlJSYiIiIAkSTh06BDKli2L4ODg3PujoqJw8uRJpKenK3Rk2vTc/c9j3NMTcj8f9F0/7D73g4qNiJRxKfMS1h1bAwAIMYfg5WodVW5ERN7GoHYBcg9ZlpGZmYHg4BBF3kEicr7I3UXPF7m70vkid1c6X+TuSueL3F2JfDnwxhV/nPgjUsrixUb88IPzV4Zy5RwYPZpLfBIRkWeoVasWfH19MW3aNPTp0weXL1/G0qVLce3azf2jP//8c3zyyScICQnBBx98gGrVqhWYe/bsWUybNg1vvfUWAOeSokH//4a1G25MAqakpCAgn8vojUY9PPXioH6P9cepaycxZ/8sWB1WdPvmFWzvuAsPhhU8tqIzGPRqV1CNtx37kn1fwOKwAABeq9kdQb6BsNm8881z3vZn/188du+klWP3iok/u92OkSNH4uTJk/D19cUHH3yAyMhItWsRERFREchc6pNIUefOSRg9+uYSn9OmWfD/8+1ERETCCw4OxmeffYaJEydi8eLFqFKlCtq0aYODBw/mfk3fvn0RFxeH3bt3Y/jw4TAajWjQ4M77dJ04cQKxsbFo3bo12rdvn3v7va54YbV67gSByQSMeXICTqWewvbTW3Hdcg3tv2qDzW13oqRfSbXrKc5i8dw/24J4y7Fb7BbMOzAHAKCTdOhaIxY2m91rjj8/PHbvxGNXl1cs9blt2zZYLBYsX74cAwcOxPTp09WuREREREVlMkH28YGOE39EbifLwFtv+SA93Xm5QadOVjRu7FC5FRERkXvVrl0bq1atwr59+7BixQqEhITc9kZxk8mERo0aoVmzZli6dOkdsw4cOIDOnTujU6dOGDZsWO7tYWFhSE1NzfO1qampkCQJYWFhbj0eURh0BsxqugDR4Q8BAP5NO42umzsg05qpcjOiolt/4itcyrwIAHjuvhdQPrCCyo2IyBt5xcTfmTNnEBMTAwCIiYnBgQMHVG7kfpIkITAwSLGNYkXOF7m76Pkid1c6X+TuSueL3F3pfJG7K5UvBwZxqU8iBaxYYcDOnc7FQUqVcmDs2GyVGxEREblXTk4Ovvrqqzz77O3Zswe1atXCu+++i8mTJ+f5ekmSYDDkv3DWqVOn0KtXLwwdOhTx8fF57qtZsyaSkpJw9erV3NsSEhJQuXJl+Pv7u/GIxBJgDMCSlitRxr8sAGDfpT/wv5294JD5RiMS29wDM3M/7hnTW8UmROTNNDvx9+OPP6Ju3boYOHBgntvPnTuHXr16oU6dOmjYsCEmTZoEh+PuTwoefPBB/PTTT3A4HNi/fz/OnDmjZHVVSJKEoKBgRV+sFTVf5O6i54vcXel8kbsrnS9yd6XzRe6uVL4jMJATf0RuduGChFGjfHI/nzw5G/+/FREREZHHMBqN+PTTTzFjxgzYbDbs3r0b69evx2uvvYbHH38cS5cuxS+//AK73Y59+/Zh06ZNaNiwIQBg+/bt6Ny5c27W2LFj8fLLL6NNmza3PU6NGjUQHR2NKVOmID09HSdOnMCCBQvQqVOnYjtWrSrlXxpLWq6Cv9G5z+Gmf9Zj7M/vqNyKyHV/XPwN+y79AQCIKhGNJ0rXVbkREXkrTe7xN2fOHKxevRoVK1a87b433ngDUVFR2LFjB65cuYL4+HiEh4eje/fuWLVqFVatWpXn68eOHYunn34av/76Kzp37oxHHnnEI/f3czgcuHr1CsLCSkCnc/98rsj5IncXPV/k7krni9xd6XyRuyudL3J3pfJ5xR+Re8kyMGSIGdeuOSfo27WzomlT9fcnICIicjedToePP/4Yo0ePxuLFi1GqVClMmjQJUVFRiIqKwrVr1zB8+HAkJyejVKlS6N27N9q1awcASEtLw+nTpwEASUlJ2LNnD3799VcsWLAgz2PMnz8fjz32GKZPn45Ro0ahXr16CAgIQMeOHfNMHHqzqPCamNdsIV7Z9DLssh2f/zUdlYLuQ7easWpXI7pncw7MyP24V0wfxd5US0RUEE1O/JnNZqxevRrjx49HTk5O7u0JCQk4cuQIFixYgMDAQAQGBqJbt25YuHAhunfvjvbt2+fZPPm/Bg8eDADIzs7Gjz/+WCzHUdxycpRdgknkfJG7i54vcnel80XurnS+yN2Vzhe5uxL5cmAgpHTu8UfkLl99ZcCWLUYAQESEA+PGcYlPIiLyXNHR0Vi7dm2+93Xq1OmOV+W1adMm9+q+0qVL4+jRo3d9nFKlSmHOnDlFK+vBGlVogg+enoLB3w8AAAz7cRDKB5ZH44pN1S1GdA8uZCRh/Yl1AIASPiXQuko7dQsRkVfT5MRf165d87390KFDKFu2LIL/s9ZQVFQUTp48ifT0dAQEBOT7fUeOHMGyZcswZswYbN68GfXq1bvjYxuNeij5ZgyDQa9IrsMhwWDQwWTSK3SVhjbzCzOeWu2u1Xx3nqOeNjauym9MRemuRn5B2UU9Rz15bFx1Y0xFHBspKAj69DSYTMr8+0rkTS5dkvD22+bczydOzEFYmIqFiIiIyGu8FtUDp66dxGd/TYNDdiBuWzdsaL0VNcOj1a5GVChfHJwLm8MGAOga1R0+Bp8CvoOISDmanPi7k9TUVAQFBeW57cYkYEpKyh0n/qpWrYr09HS0b98eQUFBmDp16h0fw2pVfikji8X9j+FwOGCzOWCx2KHTyV6VX9B4arm7VvPddY564ti46tYxFal7cecXJrso56inj42rLBa7kGNjDgiE/vQpRf5tJfI2w4ebcfWqc1K+VSsrnn/epnIjIiIi8iajnhyDf9NOY8OJdciwpuOVTe3xTdudKBNQVu1qRHeVbcvGosPOpX4NOgO6RcWp3IiIvJ1QE38AIMv3/kKhTqfDlClTFGijHZIkISQkVLG1o0XOF7m76Pkid1c6X+TuSueL3F3pfJG7K5UvBwZyjz8iN9iwwYANG5xLfJYo4cCECTkFfAcRERGRe+kkHT5tPAvn08/hj4u/ISnjPF7Z9DI2tN6CAFOg2vWI7mjd8TVIzkoGALxwfyuUDiijciMi8nZCTfyFhYUhNTU1z22pqamQJAlhblqHSNSlPgHAbA4u+Is8LL+w46nF7lrNd/c56klj46o7jakI3dXKv1u2O85RTx0bV/13TEUbGykkGDou9UlUJFeuSBg69OYSnxMm5CA83P1X/RIREREVxNfgi0UtlqPF2sb49/opHLqSgJ7buuHL51bAoBPqZUzyErIsY86Bmbmfx8X0VrENEZGTUP9i1qxZE0lJSbh69WruRF9CQgIqV64Mf39/tzyGyEt9Xr58CRERJRXal0m7+YVZ6lOr3bWa786lPj1tbFyV31KfonQv7vzCZBd1qU9PHhtX3VjqU7Sx0fv6w5R2nUt9EhXBiBFmJCc7fyZbtLCiVSsu8UlERETqifCLwLKWq/Hc2mdxLScVO//djrd/HIyJT3+k2OokRK765cJeJCTvBwA8HFELtSMfV7kRERHg/lf1FFSjRg1ER0djypQpSE9Px4kTJ7BgwQJ06tRJ7WqaYLNZma9CNvPVyxY9X+TuSueL3F3pfJG7K5Ev+/lByspyayaRN9myRY+1a51LfIaEyPjwwxxFV78gIiIiKowqoVXxRfMlMOqcz1O+ODQPM/d/pnIrotvNOTAj9+OeMX04OU1EmqDJK/6io6MBADab893GO3bsAOC8um/69OkYNWoU6tWrh4CAAHTs2BGdO3d222OLutSnwyHBYNDBZNIrdJWGNvMLM55a7a7VfHeeo542Nq7Kb0xF6a5GfkHZRT1HPXlsXHVjTEUcG31AAKTsbJgMEqBAZyJPlpoKDB7sk/v5uHHZiIzkEp9ERESkDfXK1sdHz3yCN3Y5l05896cRqBBUES3vf0HlZkROZ9POYPM/GwAAEb4l8WLl1io3IiJy0uTEX0JCwh3vK1WqFObMmaPYY4u81KfN5oDFYodO5/4XbLScX5ilPrXaXav57lzq09PGxlX5LfUpSvfizi9MdlGX+vTksXHVjaU+RRsbyeyctLCkpgEBAW7JJPIWo0b54OJF54R5kyY2tG/PJT6JiIhIWzpU64zT109h8u8fQIaMvjvi8FWrTXgksrba1Yiw4OBc2GXn6xPdasbCrDcX8B1ERMWDb433EJIkoUSJcMUuJxc5X+TuoueL3F3pfJG7K50vcnel80XurlS+7OvnzOZyn0T3ZOdOPVascC6dFRgoY9KkbC7xSURERJo0+LHhaF+1IwAgy5aFVzd3wOnrp9QtRV4v05qJxYe/AAAYdUZ0jeqhbiEiov/Q5BV/ahJ1qU8AMJuVvdJBi/mFHU8tdtdqvrvPUU8aG1fdaUxF6K5W/t2y3XGOeurYuOq/Yyra2OiD/AEAJlsOZJNy/8YSeZLr14FBg24u8Tl2bA7KlOESn0RERKRNkiTho4af4Fz6Wfx0fjeSsy7jlU3tsbH1NoT4hKpdj7zUmmMrkZKTAgB4qXJbRPpFqtyIiOgmTvzdQuSlPi9cOI9SpcootC+TdvMLs9SnVrtrNd+dS3162ti4Kr+lPkXpXtz5hcku6lKfnjw2rrqx1KdoY2MwOCcvbNfSYFfg31ciTzRmjBnnzzt/Bp95xobOna0qNyIiIiK6O7PejC+aL8Fza5/F8dRj+DvlKHps7YLlz6+FSW9Sux55GVmWMffAzNzP46LjVWxDRHQ7LvXpQWRZ2Xdqi5wvcnfR80XurnS+yN2Vzhe5u9L5IndXIl/2u7HUZ6Zbc4k81fff6/Hll84Xx/z9ZXz0EZf4JCIiIjGE+IRiacvVCPcNBwDsPvcD3vq+v+K/wxDdas/5H5F49TAAoHbk46gV+ajKjYiI8uLEHxEREYnLzxcA9/gjKoz0dODNN28u8Tl6dA7KleMLZURERCSOSsH3YWGLZTDrzQCA5UeWYOofk1RuRd5m9oEZuR/3iumjYhMiovxxqc9biLrHn8MhwWDQwWTSK7Q8mzbzCzOeWu2u1Xx3nqOeNjauym9MRemuRn5B2UU9Rz15bFx1Y0xFHBspKBAAYLRkQeIef0R3NW6cGWfOOH/26tWzoWtXLvFJRERE4nmsVB181ng24ra9BgD44NdxqBhUCW2rvqxyM/IGp6+fwtaTmwEApf3LoOX9L6rciIjodpz4u4Woe/zJsoywsJKwWh2QJPe/c1vL+QWNp5a7azXfXeeoJ46Nq24dU5G6F3d+YbKLco56+ti4ymKxCzk2ktH5Tl9bWoYi/74SeYqfftJj/nznEp9+fjKmTs2GAvP7RERERMXixcqtMSrtNN77+R0AQP9dfVE2oByeKFNX5Wbk6eYlzIYM5++z3WvGwag3qtyIiOh2/HXfQ0iSBL1eD0mhyxVFzhe5u+j5IndXOl/k7krni9xd6XyRuyuVL/v+/x5/mdzjj+hOMjOBAQNuLvE5YkQOKlXiEp9EREQkttcf7o8uNboDACwOC177phNOpB5TuRV5snRrOpYmfgkAMOvNeLVGN3ULERHdASf+PITD4UBS0jk4HA7mF2M289XLFj1f5O5K54vcXel8kbsrlm80QtbrOfFHdBcTJphx6pTzaf/jj9sQG8slPomIiEh8kiRh4tNT0LB8YwBASk4KOm1sh+SsZJWbkadaeXQZrluuAQDaVnkZ4b7hKjciIsofJ/6IiIhIXJIE2dcPUlaW2k2INOnXX3WYPdu5/JCPj4xp07jEJxEREXkOg86Auc0WonpYFADg1PWTeO2bTsi2ZavcjDyNQ3Zg3oFZuZ/HxsSr2IaI6O64x98tjEY9FFrhDABgMOgVyXU4JBgMOphMeugUeDVHq/mFGU+tdtdqvjvPUU8bG1flN6aidFcjv6Dsop6jnjw2rroxpsKOjb8fDJZsmEzK/BtLJKqsLOcSn7LsfHI7dGgOHniAS3wSERGRZwk0BWFpy1VosbYxLmQk4bcLv6Dfrt6Y2WQ+dBLf8UTu8f2Zb3Es9W8AwJNl6iE6PEblRkREd8aJv1tYrXbFH8Nicf9jOBwO2GwOWCx26HTuf0FHy/kFjaeWu2s1313nqCeOjatuHVORuhd3fmGyi3KOevrYuMpisQs7NrKPLxxp6Yr8+0okskmTTDh+3Dkh/uijdvTuzSU+iYiIyDOVDSyHxc+twItftUCmLQPrjq9FxaD7MOKJ0WpXIw8x58CM3I97RvdRsQkRUcH4thcPodPpULp0WUWu0BA9X+TuoueL3F3pfJG7K50vcnel80XurmS+7OcHZHGPP6L/2rdPh88/NwEATCYZH3+cDT0viiUiIiIPFhPxMGY3vXmV37R9U7D48EKVW5En+Cf1OHb8uw0AUC6gPJrf95zKjYiI7o4Tfx5ClmXY7XbIsjLLN4mcL3J30fNF7q50vsjdlc4XubvS+SJ3VzJf9vHhHn9E/5GT41zi0+FwLvE5eLAFDz7oULkVERERkfKaVmqB8U9NzP188PcD8N2ZXSo2Ik8wN+Hm3n49onvBoOMiekSkbZz48xCyLOPSpQuKvlgrar7I3UXPF7m70vkid1c6X+TuSueL3F3JfNnsAyknx62ZRCKbOtWEI0ecl/fFxNjRt69F5UZERERExSc2Oh7xMX0BAHbZjtitXZF45bDKrUhUaZbrWHZkCQDA1+CLV6p3UbkREVHB+PaEWxiNekiScvkGgzJrLDkcEgwGHUwmvSJLtGk1vzDjqdXuWs135znqaWPjqvzGVJTuauQXlF3Uc9STx8ZVN8ZU1LGRfMzQ2awwmbiOIVFCgg7TpjmX+DQaZUyblg2jUeVSRERERMXs3brjcTrtNLac3IQ0y3V03tQOW9ruQqR/KbWrkWCWH1mCDGs6AKB91U4I9QlTuRERUcE48XcLq9Wu+GNYLO5/DIfDAZvNAYvFDp3O/VdqaDm/oPHUcnet5rvrHPXEsXHVrWMqUvfizi9MdlHOUU8fG1dZLHZhx8bHaAKysxX595VIJBYL0K+fD+x257vYBgywICqKS3wSERGR99Hr9Jjx7Fy0Xvcc/rr8J86ln8Wrmztg3Uub4W/0V7seCcIhO/Is8xkXE69iGyKiwuNSnx5EUvJSRcHzRe4uer7I3ZXOF7m70vkid1c6X+TuiuWbfSBlZ7s/l0gw06ebcOiQ88rXGjXs6N+fS3wSERGR9/I3+uPLlitRPrACAGD/5T/RZ3ss7A6+YZAKZ+fpbTh57R8AQP1yz6BaWHWVGxERFY4kK7WRj6AuX05TNN9k0vOKBDfieLofx9T9OKbuxfF0P9HHNLB3LHQXknBt3WZFHyciIlDRfHf67bff0KNHjzy3ybIMq9WK/v37Y8aMGXnuczgceOSRR/Dll1/elpWdnY0pU6Zg69atyMzMRHR0NIYPH46qVavm+9hKP5dSm1Z/Xg4f1qFJEz9YrRL0ehlbt2YiJsa9V/tp9diLA4+dx+6NvPn4eezKHbtIz6fU5MnPp9T4+TpyNREt1zZBmuU6AKBXTB+Me2pisXYA+HeLiMfefn0rfH/2WwDAl8+tQLNKLVzKEfX43YHHzmP3Nlp5LsUr/jyELMvIzs6CUvO4IueL3F30fJG7K50vcnel80XurnS+yN2VzJfNZkg5OW7NFN1jjz2GhISEPP+9/vrraNGiBfr27XvbfU888QRatMj/l9hJkybhjz/+wPLly/HDDz+gTJkyeP3114v5iOhubDagf38fWK3OK2rfeMPi9kk/IiIiIlFVC6uO+c2+hEHn3PFo9oEZmHtgpsqtSOuOXj2SO+lXMagSnq3QVOVGRESFx4k/DyHLMq5cSVb0xVpR80XuLnq+yN2Vzhe5u9L5IndXOl/k7ormm80AJ/7u6vz581iwYAGGDBly231btmzB5cuX0aFDh3y/NyAgAEOGDEGZMmXg5+eH1157DadPn8bFixeVrk2F9PnnJuzf71zi88EH7Rg0iEt8EhEREf1Xg/INMbnBtNzPR+4Zhq2nvlGxEWldnr39ouOh1+lVbENEdG848UdERERCk81mSBZO/N3NtGnT0LZtW5QpUybP7Xa7HZMnT8agQYOg1+f/i+zAgQPxxBNP5H6elJQEs9mMkJAQJStTIf39tw4ffmgCAOh0MqZNy4bZrHIpIiIiIg3qXL0LBjzyFgDAITsQv6079l/6U+VWpEWp2SlYdXQZAMDfGIBO1V5VuRER0b0xqF1Aa4xGPSRJuXyDQZl3hzgcEgwGHUwmPXQ698/najW/MOOp1e5azXfnOeppY+Oq/MZUlO5q5BeUXdRz1JPHxlU3xlTUsdH5+kCyWGAy8R2Y+Tl79iy2bduGbdu23Xbfxo0bERAQgAYNGhQq69q1axg/fjx69OgB8x1ml5R+LqU2pZ7LucJuBwYONMNicQ7466/b8MQTEgBlOmrp2Isbj907efOxA959/Dx2Is81rM5InL5+El8dX4NMWyZe2fwytrTdhXKB5dWuRhqy9MhiZNoyAQAdq3VGkDlY5UZERPeGE3+3sFqV33RSic0dHQ4HAOfGkTqd+5do03J+QeOp5e5azXfXOeqJY+OqW8dUpO7FnV+Y7KKco54+Nq6yWOzCjo1Bb4QxJ8drN44uyJIlS9C0aVNERETcdt/ChQvRpUuXQuVcunQJcXFxqF69Ot544407fl1xPJdSm1bOtRkzjPjtN+cLtA884MCgQdmwKLzKp1aOXQ08du/kzccOePfx89iJPJNO0mFaoxk4l34Ov17Yi0uZF/HKpvbY2GYbAk1BatcjDbA77JifMDv389ia8Sq2ISJyDZf69BA6nQ6RkaUUuUJD9HyRu4ueL3J3pfNF7q50vsjdlc4XubuS+bKPD6ScbLdmepKtW7eiUaNGt91+5swZJCYmomHDhgVm/Pvvv+jYsSMeffRRfPTRR3dcFpSKzz//SJgwwXnVpSTJ+PjjbPj6qlyKiIiISAA+Bh8sbLEM9wXfDwBIvHoYsVu7wmq3qtyMtGDrqW/wb9ppAECjCs+icmgVlRsREd07Tvx5CFmWkZGRDll2/xUaoueL3F30fJG7K50vcnel80XurnS+yN0VzTeZgRyFL3MSVGJiIs6dO4d69erddt/OnTtRvXp1hIWF3TXj6tWr6NGjB9q0aYPRo0dz0k8DHA5gwAAfZGc7l/js2dOKOnV4dQYRERFRYZXwLYFlLVcj1BwKAPjuzC4M+3GQYr8LkTjmHJiR+3GvmD4qNiEich0n/jyELMtITU1R9MVaUfNF7i56vsjdlc4XubvS+SJ3Vzpf5O5K5ssmEyRLjlszPcXhw4cREhKCgICA2+5LTExEuXLlbrv9wIEDaN68OSz/v2bkRx99hIceegivv/664n2pcObPN2LvXueK/RUrOjB8OM9/IiIiont1f0hlLHxuOUw6EwDgy8Nf4JM/P1a3FKnqUPJB7Dn/IwDggZDKeKZ8Y5UbERG5hhN/REREJDYfH0hWq/MyKMojOTk53739btwXHh5+2+1ZWVk4efJk7gTtmjVrsHXrVkRHR+f5b926dUpWpzs4fVrCuHHm3M8//jgb/v4qFiIiIiIS2BOln8T0xjev8Bq3dzS+Pr5WxUakprkJM3M/jovuDZ3El86JSEwGtQsQERERFYVscr5DFzk54CZnecXHxyM+Pv/N6OfNm5fv7XXq1MHRo0dzP09MTFSkG907WQbefNMHmZnOJT67dbOgXj0u8UlEROSqgwcP4sMPP8ShQ4fg5+eHbt26ITY2FgCwZMkSLFq0CBcvXkRERAQ6duyYe19+EhIS8OabbyI0NBQrV67Mvf2XX35B165dYbrxnPX/ffjhh2jRooUyB0b3pE2V9jh97RQm/PoeAOD1nfEo7V8Wj5euo3IzKk5Xsq5gzd/On91AUxA6PNhJ5UZERK7jxJ8HMZt9mK9CNvPVyxY9X+TuSueL3F3pfJG7K5Uvm51XP0mWHMic+CMPtmiR8f/au/f4muvHD+Cvz7ntYpttLsMIuZsNRYrkboUod5L7JVQoCRHyq8g9NHJZ5VIyinKNokilfGVmSoiZ69jFxnbOzvn8/jjt1GxstvM5n/P+nNfz8fg+vs4522uvz9sn3s77fN4f/PCDffpeqZINb77JLT6JiIiKKiUlBUOHDkWPHj2wfPlyXLhwASNGjECFChVgNBrx/vvvY8WKFahXrx6OHDmCwYMHo3Llymjbtm2erK1bt2L+/PmoXr060tLS8rweGhqKb7/91hWHRUU09uHxOJf2N9afXIMsaxYG7OiN7d32omrJB9WuRi6yLv5jZFozAQB96zwPP5O/yo2IiIqO1ytrhE6nQ+nSZaDTKfNbKnK+yN1Fzxe5u9L5IndXOl/k7krni9xd0XzTP9seZnIRhLTrwgUJM2b8u8XnvHmZyOfWjURERFRIR48eRUZGBsaOHQsfHx/UqFEDQ4YMQUxMDMqWLYsFCxYgIiICOp0OjRo1QrVq1XDq1Kl8s7KysrBhwwbUr1/fxUdBziJJEua0WIjmFVsCAK5nXkffbd2RnHlD3WLkEharBatjVwAAJEgYXG+Yyo2IiIqHC38aIcsy0tJSHffjYb5rspmvXrbo+SJ3Vzpf5O5K54vcXcl82WQEAEjZFqfmErkLWQZefdUb6en2LT779TOjZUtu8UlERFRckiTlelyyZEnEx8cjIiICTZs2BQBYLBbs2LEDCQkJaNWqVb45PXr0QEhIyF1/TkZGBkaPHo0mTZqgefPmiI6OVmzOTUVn1BuxOvIT1AqqDQA4nfIXBu58DllWfsBQ63ac/RoXMxIBAO2rPMkrPYlIeNzqUyNkWcbNm2nw8/PPM3H19HyRu4ueL3J3pfNF7q50vsjdlc4Xubui+Qb7wh8sXPgjbfrsMwO++84+bS9f3obp0/nmExERUXE1bNgQPj4+WLRoEUaOHIlr165h/fr1SE1NdXzNBx98gMWLFyMwMBCzZs1C7dq17/vn+Pn5oWbNmhgwYAAWLFiAX375BWPGjIG/vz+6d++e7/cYjXooMB13CwaDXu0K91TGVAqfP7MZ7Ta0xNVbV3Ho4kG8uv8lLI9cWex/w7j7sSvJ3Y995fFljl+Pemg0TCbn9nX341cSj90z8djVx4W/Oyg9uVLqN95mk2Aw6GAy6RXZos1d8wsznu7a3V3znXmOam1siiq/MRWluxr5BWUX9xzV8tgUVc6Yijo2eh/79ocmyQabk/+BRqS2S5ckTJ36770x583LRECAioWIiIg0omTJkli6dClmz56NtWvXokaNGujatSuOHz/u+JpRo0Zh6NChOHDgACZNmgSj0YgWLVrc188JCwvDmjVrHI8ff/xx9O7dG5s3b77rwp/Fou0r+81m9z6+8j4VseapDXhmSwfczr6Nz09+hkp+lfH6I28UO9vdj11J7nrsv1/9H366eAgAUDu4Dh4Naa5IV3c9flfgsXsmHru6uPB3B1dMrpT4jbfZbMjOtsFstkKnc/52Ee6cX9B4unN3d8131jmqxbEpqjvHVKTurs4vTHZxzlGtj01Rmc1WYcfGINsXES23zbC6weSKyFlkGXjtNW+kpdk/ldazpwVt2/IcJyIicpZGjRph48aNjse7du3Ks2WnyWRC69atERkZifXr19/3wl9+QkNDsWvXrmLnkHIahjyMqLarMGjnc5AhY96vs1E5oAp6135O7WrkZCti/73ab2j4C4rsfkNE5Gq8x59GSJIEX98Siv3lJHK+yN1Fzxe5u9L5IndXOl/k7krni9xd0XzjP59j4lafpDExMQbs3m0/v8uWtWHmzEyVGxEREWlHVlYWvvjiC6SnpzueO3jwIBo2bIjp06dj7ty5ub5ekiQYDPf/+fkdO3Zg/fr1uZ47c+YMKlWqVLTi5DIdHuyEGc3edjx+dd/LOJD4vYqNyNmu3rqKL09tAgAEegWie81eKjciInIOLvxphCRJCAoKVvTNWlHzRe4uer7I3ZXOF7m70vkid1c6X+TuSubL/9zjT7JmOzWXSE1Xrkh4441/t/h8770sBAWpWIiIiEhjjEYjlixZgqioKGRnZ+PAgQPYunUrBgwYgEceeQTr16/Hzz//DKvViiNHjmDbtm1o1aoVAOCbb75B3759C/1zZs+ejQMHDsBiseDgwYPYtGkT+vTpo+ThkZOMiBiNwfWGAQAsNgsG7ngOf974Q+VW5CxrTkTDbDMDAPrVHQhfo6/KjYiInINbfWqELMtISUlGYGCQIm/YipwvcnfR80XurnS+yN2Vzhe5u9L5IndXNN/AK/5IW2QZmDjRCykp9v9Onn3Wgg4duLBNRETkTDqdDgsXLsS0adOwdu1alCtXDnPmzEFYWBjCwsKQmpqKSZMmISkpCeXKlcMLL7zguCffzZs3ce7cOUdWZGQkLl68CKvVvn1+eHg4AGDnzp1o27YtJk+ejJkzZ+LSpUsoXbo0Jk+ejPbt26ty3HR/JEnC/z0+Gwk3z+Obc7uQZk5F323dsb3bXpT1Lat2PSoGs9WM6OMrAQA6SYdB9Yaq3IiIyHm48KcRsizj1q0MlCwZqNibtaLmi9xd9HyRuyudL3J3pfNF7q50vsjdFc03/nPFXzYXRkgbtm41YNs2+3ldurQN77yTpXIjIiIibQoPD8fmzZvzfa1Pnz53vSqva9eu6Nq1q+NxQffr69WrF3r14haCojLoDFjePhpdvngKsUm/4/zNcxiwozc2d9kGH4OP2vWoiL46/SWu3roCAHiqaidU8n9A5UZERM7DrT6JiIhIaHLOFX9c+CMNSEqSMHGil+PxrFlZKFVKVrEREREREfkZ/bCu4+eoUCIUAPDblV8xes9w2GSbys2oqFYci3L8enjESBWbEBE5Hxf+iIiISGzc6pM05I03vHD9un2K3qmTBZ07c0GbiIiIyB2UK1Eeazt+jhJGPwDA12e24K1Db6rciorityuHceTqbwCAsFLheLR8U5UbERE5Fxf+NEKSJPj7ByiyNZvo+SJ3Fz1f5O5K54vcXel8kbsrnS9yd0XzHVt9cuGPxLZ9uwFffGE/n4OCZMyaxS0+iYiIiNxJvdLhWBX5MfSSHgDwwdH38dHxVSq3ovt159V+Sv0bmIhILVz40whJkhAQUFLRN2tFzRe5u+j5IndXOl/k7krni9xd6XyRuyuZLxvsCyXItjo1l8iVkpOB1177d4vPt9/ORNmy3OKTiIiIyN20fqAdZj0xz/F44g+vYu+53So2ovtxOeMStp7+EgBQyrsUnq3RXd1CREQK4MKfRthsNiQlXYPNpsze4iLni9xd9HyRuyudL3J3pfNF7q50vsjdFc032D9tC17xRwKbMsUb167Zp+aRkdno1o1bfBIRERG5qwFhgzG6wRgAgE22YejugTieFKtyKyqMj+JWIdtmn2v3DxsEb4O3yo2IiJxPkwt/R44cQdOmTfH99987npsxYwZ69+6Nfv36ISEhQcV2ysnKymS+CtnMVy9b9HyRuyudL3J3pfNF7q5Ufs4VfxLv8UeC+uYbPTZutJ/HAQEy5szJBHcbIiIiInJvUx+bgaerPQMAyLCk47ltPXAp/aK6peieMrMz8UncagCAXtJjYNhQlRsRESlDcwt/SUlJWL58ORo2bOh47tChQ7h+/To+++wzjBw5EvPnz1exIRERETmVMWerT14hReJJTQVeffXfTxnPnJmJcuW4xScRERGRu9NJOixpsxwPhzQGAFzKuIjntvdEuvmmys3obr78axOSbicBAJ6u1gXl/Sqo3IiISBmaW/gLCAjAkiVL4O/v73jup59+QsuWLQEAjz32GH7//XeV2hEREZHTGQwAAIkLfySg6dO9cPmyfUreqlU2evfmeUxEREQkCh+DDz556jM8EFAFAHA86RiG7x7k2EqS3Icsy1hxbJnj8bCIkSq2ISJSllss/P3www9o2rQpxo0bl+v5xMREDB8+HE2aNEGrVq0wZ86cAu8LZDKZYMz55P8/rl+/juDgYACATqeDzWZT7P5FapEkCYGBQZAU2hdK5HyRu4ueL3J3pfNF7q50vsjdlc4Xubui+TodZJ0O4FafJJjvvtNj3ToTAMDPT8b8+dzik4iIiEg0ZXzLYH2HjSjpFQgA2HN+N944MAGyzF0c3MnPl39CbJL9YpAGZRqiUcgjKjciIlKOQe0CK1asQExMDCpXrpzntZdeeglhYWHYs2cPrl+/jhEjRqB06dIYNGgQNm7ciI0bN+b6+rfeegu1a9cu8Gdq8S9eSZJQooQf812czXz1skXPF7m70vkid1c6X+TuiucbDICVn6olcaSn597ic/r0LISGam+OSkREROQJagbXwkdPrkPPr56BxWZB9PGVqBLwIEY2eFHtavSPFceiHL8eFjFSsQ+8EhG5A9Wv+PPy8sp34S82NhYnT57E+PHj4e/vjypVqmDgwIHYsGEDAKBHjx74/PPPc/3vbot+ZcqUQVKSff9mi8UCnU4HnU71Q3cqm82GK1cuK3Ylo8j5IncXPV/k7krni9xd6XyRuyudL3J3xfMNRki84o8E8tZbXrhwwT4fbd48G88/z/OXiIiISGTNQptjfsvFjsfTf3wD2858pWIjynHhZgK2//N7UcanLDpXf1blRkREylL9ir/+/fvn+3xcXBxCQ0NRsmRJx3NhYWE4e/Ys0tPT4edX+CsGmjZtitWrV6N79+7Yv38/Hnnk7pdyG416RbdYMhj0iuTabBIAK0wmvSKLmu6aX5jxdNfu7prvzHNUa2NTVPmNqSjd1cgvKLu456iWx6aocsZU5LGB0Qi9bM8mcncHDujx0Uf2LT59fbnFJxEREZFW9KrdF+fS/sbcX2dBhoxRe4biiy7b8FBII7WrebSPjq+CVbYCAAbWGwIvvZfKjYiIlKX6wt/dpKSkICAgINdzOYuAycnJd134+/XXX7Fo0SKcOXMGcXFx+Pzzz7FkyRLs2bMHvXv3hslkwuzZs+/6cy0Wq/MO4i7MZuf/DJvNhuxsG8xmK3Q6528T5c75BY2nO3d313xnnaNaHJuiunNMReru6vzCZBfnHNX62BSV2WwVemxkgx62LIsif8cSOVNGBjBu3L9bfE6dmoXKlbnFJxEREZFWvNZ4Es6l/Y2Nf36G29m30W97L+zs9i2ql35Q7Woe6ZblFtaciAYAGHVG9A8brHIjIiLlue3CH1C0e/E1atQIa9asyfP8pEmTnFGJiIiI3JBsMALc6pME8M47Xjh3zn7F62OPZWPQIJ63RERERFoiSRLmt1qMxPQL+PHiASTdvoa+27pjd69v4avzV7uex9l8aiOSs5IBAF2qd0WIb4jKjYiIlOe2C3/BwcFISUnJ9VxKSgokSUJwcLBiP1fUrT5lWYfy5UPg5WVQ5Oa07ppfmPF01+7umu/Mc1RrY1NU+Y2pKN3VyC8ou7jnqJbHpqhyxlTksZGMRuhlG7f6JLf20096rFxpBAD4+MhYsCATGrvtNBEREREB8NJ7IfrJtei4uR3+SjmFP5P/QP9tfbG+wyaY9Ca163kMWZax4liU4/Gw8BdUbENE5Dpuu/BXr149XLp0CTdu3HAs9MXGxqJ69eooUaKEYj9X1K0+AUCnM8FisSmS7c75hRlPd+3urvnOPEe1NjZFld+YitJdjfyCsot7jmp5bIoqZ0xFHRtZr4cty8ytPslt3b4NjB3rDVm2L3pPnJiFBx/kFp9EREREWhXkHYx1HTeiw6Y2uJ55Hd8n7Mf4/WOwqNUHinzQkvI6ePEHxN84AQBoFPIIGoY8rHIjIiLXcNvPGNetWxfh4eGYN28e0tPTcfr0aURHR6NPnz5qV3NLNpsNFy9egM2mzJu1IueL3F30fJG7K50vcnel80XurnS+yN2VzpeN3OqT3Nvs2V44c8Y+9W7UyIrhw3m+EhEREWld1ZIP4pMOn8FL7wUA+OzkOiz4bY7KrTzHh/+52m94xEgVmxARuZbqV/yFh4cDALKzswEAe/bsAWC/uu/999/H1KlT0axZM/j5+aF3797o27evon1E3erTZpOg10swmfTQKbBnlLvmF2Y83bW7u+Y78xzV2tgUVX5jKkp3NfILyi7uOarlsSmqnDEVeWwkkxF62cqtPskt/fabDsuW2bf49PKSsWhRJvQ8VYmIiIg8QuNyTbC0zYcYunsAAGDWL/+HygFV0K1mT5Wbadu5tL+x6+x2AED5EhXQ8cHOKjciInId1Rf+YmNj7/pauXLlsGLFChe2EXerT5vNhuxsG8xmK3Q6528b5c75BY2nO3d313xnnaNaHJuiunNMReru6vzCZBfnHNX62BSV2WwVe2x0Bm71SW4pMxMYM8YbNpv9k2WvvWZGjRrKbadLRERERO6nc/VnMePWeUw7MBUAMObbUQj1q4hHKzRVuZl2rY5dARn2f3cOqjcURr1R5UZERK7jtlt9EhERERWa0QD8s3sAkTuZP9+EP/+0X97XoIEVo0aZVW5ERERERGp4+eFxeL7uIACA2WbGgB19cDrllMqttCndko518Z8AALz0XuhXd6C6hYiIXEz1K/7cjahbfcqyDhUrVoDBYFDkBsHuml+Y8XTX7u6a78xzVGtjU1T5jako3dXILyi7uOeolsemqHLGVOSxkYxG6GUbt/okt/L77zosXmwCABiN9i0+DZx9ExEREXkkSZIw+4l5uHDzPL5L2IvkrGT03dYD27vuRSmfUmrX05SNf3yGNHMqAKBrjR4o7VNa5UZERK7Ftx7uIOpWn4D93kmyrNzWUe6aX5jxdNfu7prvzHNUa2NTVPmNqSjd1cgvKLu456iWx6aocsZU1LHxhQSbJZtbfZLbMJuBl1/2htVqX+R+5RUz6tThFp9EREREnsygM2Bl5MfotDkS8TficDb1DPrv6I1Nnb+Ct8Fb7XqaYJNtWHlsmePx0IgXVGxDRKQObvWpETabDZcuJcJmU+qNZnHzRe4uer7I3ZXOF7m70vkid1c6X+TuSufLej2gUG+ioli40IT4ePsVqPXqWfHyy9zik4iIiIgAf1MA1nfciBDfcgCAw5d/xsvfvgCbgh/A9CT7E77DqZQ/AQCPVWiG8NIRKjciInI9LvwRERGR+HQ6wMar/cg9xMXpsHChfYtPg8G+xafRqHIpIiIiInIbof4Vsa7j5/A1lAAAfPnXZrz780yVW2nDimNRjl8PCx+pYhMiIvVwq887iHqPP5tNgsGgg8mkh07n/PVcd80vzHi6a3d3zXfmOaq1sSmq/MZUlO5q5BeUXdxzVMtjU1Q5Yyry2Oj+OQbe44/UZrEAY8Z4IzvbPqF8+WUzwsP56W0iIiIiyi2iTAN82H41+u/oA5tsw6Ij81A5oAr61R2gdjVhnUn5C3vO7wYAVPSrhCerdlC5ERGROrjwdwdR7/Fns9mQnW2D2WyFTid7VH5B4+nO3d0131nnqBbHpqjuHFORurs6vzDZxTlHtT42RWU2W4UeGx9IsGVbeY8/Ut3SpSYcO2ZfgK5d24px47jFJxERERHlr32Vp/D247Mx6YfXAACv7R+Liv6V0LJSa5WbiWlV7IeOXw8OHw6Djm99E5FnkmRZdv47ewK7du2movkmk16xNyVtNpsiV2i4c35hx9Mdu7trvrPPUS2NTVHdbUxF6K5W/r2ynXGOanVsiuq/Yyrq2JTs3RWyjy/Sotc6PTtHmTL+imVridJzKbXd68+gkyd1aNvWF2azBJ1Oxo4dt9CwoXau9lNyHuvueOw8dk/kycfPY1fu2DmfKhwtz6f431f+xz71wEQsP/YBAPs9AL9+djfqlKrrynqKcsXv+01zGup/XAfplpvwMfjgaP94BHkHK/ozC4vnPY/d0/DY1Z9L8R5/GiHLMqxWK5RaxxU5X+TuoueL3F3pfJG7K50vcnel80XurnS+rNMBNu0ssJB4srOBsWO9YTbbt/gcPdqsqUU/IiIiIlLO9KZv48mqHQHYF7Ce29YDVzIuq9xKLJ+dXId0i33RvHvN3m6z6EdEpAZe73wHce/xZ8PVq1cRGlpRofsyuWd+4e7x557d3TXfuff409bYFFX+9/gTo7sa+QVlF/8ef9odm6L69x5/4o6NzmAAZBvv8UeqWb7ciCNH7Odf9epWvPYat/gkIiIiosLR6/SIarsSz37ZAUev/Q8X0hPQb3svfPnMdpQwllC7ntuzyTasjF3ueDws4gUV2xARqY8Lf3fgPf7Ey+c9/pyfz3v8OT+f9/hzbjbv8cd7/N3JGxJgzfbYrSRIXadPS5g92wsAIEkyFi7MhLe3yqWIiIiISCgljCWwpuPneCqmNS6kJ+D3a//DyG+GIPrJddDr+AHHe9l7bjfOpp4BADSv2BK1g+uo3IiISF3c6pOIiIjEp9dDsnLRj1zPagXGjPFGZqZ9y4jhwy145BFu8UlERERE9y/ENwTrO8XA3xQAANj593ZM+3Gyyq3c34fHohy/Hh4xUsUmRETugQt/GiIpuUep4Pkidxc9X+TuSueL3F3pfJG7K50vcndF83mPP1LJqlVG/PKLfRONqlVtmDQpS+VGRERERCSy2sF1sDpyDQw6+xzzw2NRWHlsmcqt3NcfN05i/4XvAACVA6qg7QPtVW5ERKQ+LvxphE6nQ4UKytyTSfR8kbuLni9yd6XzRe6udL7I3ZXOF7m70vmyXgdYufBHrnX2rIS33/ZyPF64MBO+vioWIiIiIiJNaFGpFea2WOR4POXgROz6e4eKjdzXqv/c229o+Ahui0pEBC78aYYsy8jMvA1Zdv49mUTPF7m76Pkid1c6X+TuSueL3F3pfJG7K56v0wEyF/7IdWw24JVXvHH7tv0q1iFDzHjsMW43S0RERETO0bfO8xj70HgAgE22YcTuQTh27ai6pdxMSmYyPv/jUwCAr6EE+tTup3IjIiL3YFC7gLsxGvVQcpczg0GZT53YbDZcvXoDoaHKXEnhrvmFGU937e6u+c48R7U2NkWV35iK0l2N/IKyi3uOanlsiipnTEUeG53BAJ3NBpOJn+4k1/j4YyMOHrRPpR94wIY33uAWn0RERETkXBObTMG5tLP44q9NuJV9C89t64md3b5FqH9Ftau5hfUn1+JW9i0AQO/afRHgVVLlRkRE7oELf3ewWJT/pLbZ7PyfYbPZkJ1tg9lshU7n/Csp3Dm/oPF05+7umu+sc1SLY1NUd46pSN1dnV+Y7OKco1ofm6Iym61Cj40XJEhWqyJ/xxLdKSFBwltv/bvF5/z5mfDzU7EQEREREWmSTtJhUesoJKYn4pfLP+HKrcvou60Hvu66C/6mALXrqcpqs2J17IeOx0PDX1CxDRGRe+FWn0RERCQ8Wa8HrFz0I+XJsn2Lz4wM+xYRzz9vxhNP8NwjIiIS0fHjx9G/f388/PDDaN68OVatWuV4bd26dYiMjESDBg3Qrl27XK/lJzY2Fu3atUPPnj3zvHbo0CF0794dDz30EDp27IitW7c6/VhIu7wN3vj4qU9RteSDAID4G3EYsqs/LFaLys3UtevvHTh/8xwAoPUDbVE9qIbKjYiI3Aev+NMQg8HIfBWyma9etuj5IndXOl/k7krni9xd0Xze4y+Xw4cPY/Dgwbmek2UZFosFY8aMQVRUVK7XbDYbHnroIaxZsyZPVlZWFt5++23s27cPWVlZaNKkCWbMmIGgoCBFj8FdrVmjx/799il0hQo2TJ/OLT6JiIhElJKSgqFDh6JHjx5Yvnw5Lly4gBEjRqBChQowGo14//33sWLFCtSrVw9HjhzB4MGDUblyZbRt2zZP1tatWzF//nxUr14daWlpuV67evUqRo0ahTfeeANPP/00fvvtN4wcORJVq1ZFeHi4qw6XBFfKpxQ+7RiDpza1QXJWMvYlfIuJP7yKuS0WQVLynkVubMWxf/9NMzxipIpNiIjcD6/40widToeQkHKK3JNJ9HyRu4ueL3J3pfNF7q50vsjdlc4Xubvi+Tpe8fdfjRs3RmxsbK7/vfjii3jqqacwatSoPK89+uijeOqpp/LNWrBgAeLi4rBhwwbs2rULsixj0qRJLj4i93DxooQpU0yOx/PnZ8LfX8VCREREVGRHjx5FRkYGxo4dCx8fH9SoUQNDhgxBTEwMypYtiwULFiAiIgI6nQ6NGjVCtWrVcOrUqXyzsrKysGHDBtSvXz/Pa1999RWqVKmC7t27w8vLC02bNkXr1q2xceNGpQ+RNObBwOr4uMNnMOns89E1Jz7C4v8tVLeUSuKSjuPgxR8AANUCq6NlpTYqNyIici9c+NMIWZaRkZEOWXb+PZlEzxe5u+j5IndXOl/k7krni9xd6XyRuyuer9MBNmV6a8HFixcRHR2NCRMm5Hlt586duHbtGnr16pXntezsbMTExGDUqFEoX748AgMDMXbsWOzbtw9XrlxxRXW3IcvA+PHeSEuzf6K6d28LWrfmYjMREZHI7rxSqmTJkoiPj0dERASaNm0KALBYLNixYwcSEhLQqlWrfHN69OiBkJCQfF+Li4tD3bp1cz1Xt25dHD9+3AlHQJ7m0fKP4f02/17p9n8/TcPWv75QsZE6VsUud/x6aPgL0El8i5uI6L+41adGyLKMlJRk+Pj4KnKJv8j5IncXPV/k7krni9xd6XyRuyudL3J3xfP1Oki84u+uFi1ahG7duqFChQq5nrdarZg7dy6mTp0KvV6f5/vOnz+PmzdvIiwszPFctWrV4O3tjbi4uLu+waVFn39uwJ499qlzSIgNb72VqXIjIiIiKo6GDRvCx8cHixYtwsiRI3Ht2jWsX78eqampjq/54IMPsHjxYgQGBmLWrFmoXbv2ff+clJSUPHOmwMBAJCcn3/V7jEY9tLp7o8GQd87pKZx17L3DeuNCxnn8348zAACj9w7HA4GV8EiFJk7JV4Izf9+v305CzJ8bAAABpgD0C+8Hk8m9zyue956Jx+6Z3OXYufB3B6UnV0r9xttsEgwGHUwmvSJbqLlrfmHG0127u2u+M89RrY1NUeU3pqJ0VyO/oOzinqNaHpuiyhlTkcdGZzBAkm1u/w8+NVy4cAG7d+/G7t2787z29ddfw8/PDy1atMj3e1NSUgAAAQEBuZ4PCAi465tVWnyj6vJlYMoUb8fjhQstKFvW8841d/kHjBp47J7Jk48d8Ozj57F7hpIlS2Lp0qWYPXs21q5dixo1aqBr1665rsQbNWoUhg4digMHDmDSpEkwGo13nTc5k8Wi7Q+0mc3aPr57cdaxv1T/FZy5cQbrT65BljULfbb2wPZue1G15INOyVeCs449+vdoZFrtH8LrU7sfvOArxDklQkel8Ng9E49dXVz4u4MrJldK/MbbbDZkZ9tgNluh0zl/qzN3zi9oPN25u7vmO+sc1eLYFNWdYypSd1fnFya7OOeo1semqMxmq9BjY5Qk6K1Wt5hcuZt169ahffv2KFOmTJ7XPv74Yzz//PMFZtzP9qxae6NKloFx47yRmmpfzezZMxtt2phhNqtcTCWe/N8Yj90zefKxA559/Dx2z9CoUaNc99rbtWtXnqvzTCYTWrdujcjISKxfv/6+F/6CgoIcH6bKkZycjODg4CL3JpIkCXNaLERCegJ+uLAP1zOv47ltPbCt6zcI8tbuuWWxWrA6dgUAQIKEweHDVW5EROSeuAGyhnh5eRf8RR6aL3J30fNF7q50vsjdlc4XubvS+SJ3VzRf0gE2mzLZgtu1axdat26d5/mEhATEx8ff9V41ABxvSN35ZlVqaipKlSrl1J7u6ssvDdixwwgAKF3ahlmzPHTFj4iISGOysrLwxRdfID093fHcwYMH0bBhQ0yfPh1z587N9fWSJMFguP/Pz4eHh+e5n9/x48dRv379ohUn+odRb8TqyE9QK8i+Be1fKacwcOdzyLJmqdxMOTvOfo2LGYkAgPZVnnTrKxyJiNTEhT+N0Ol0KF26jCJbs4meL3J30fNF7q50vsjdlc4XubvS+SJ3Vzxfrwd4j7884uPjkZiYiGbNmuV5be/evahTp849P21eqVIllCxZEnFxcY7n/vzzT5jNZtSrV0+Rzu7k2jUJkyZ5OR7Pnp0FfjifiIhIG4xGI5YsWYKoqChkZ2fjwIED2Lp1KwYMGIBHHnkE69evx88//wyr1YojR45g27Ztjg9MffPNN+jbt2+hfs7TTz+NxMREbNy4EVlZWdi/fz/279+Pnj17Knl45CFKegViXceNKONTFgBw6OJBjPvuxfvasUMkHx6Lcvx6WMRIFZsQEbk3LvxphCzLSEtLVewvdpHzRe4uer7I3ZXOF7m70vkid1c6X+TuiufrdJB4xV8eJ06cQGBgIPz8/PK8Fh8fj4oVK+Z5/tixY3jyySdhNpuh1+vRs2dPLFu2DJcuXUJycjLmz5+Pdu3aoXTp0q44BFVNmuSFGzfs0+XOnS14+ulslRsRERGRs+h0OixcuBCHDh3Cww8/jJkzZ2LOnDkICwtDhw4d8Nprr2HSpElo2LAhJk6ciBdeeAHdu3cHANy8eRPnzp1zZEVGRiI8PBxRUVE4duwYwsPDER4ejsTERJQqVQrLly/H2rVr8fDDD+Odd97BnDlzULt2bbUOnTTmgYDKWNthA3wMPgCAmD834L3D76jcyvl+v/o//HL5JwBA7eA6aB6q/P02iYhExXv8aYQsy7h5Mw1+fv6QJIn5LspmvnrZoueL3F3pfJG7K50vcnel82W9nlt95iMpKSnfe/vlvFa5cuU8z9++fRtnz551LNC+/PLLyMjIQJcuXZCdnY1WrVph+vTpStZ2C199ZcDWrfYtPoODbXj3Xe1umUREROSpwsPDsXnz5nxf69OnD/r06ZPva127dkXXrl0dj3ft2nXPn9O4cWNs2bKl6EWJCtAw5GFEtV2FQTufgwwZ836djSoBVdGrduGuTBXBytjljl8PDX9BkX+zEhFpBRf+iIiISHw6iQt/+RgxYgRGjBiR72urVq3K9/kmTZrgjz/+cDw2mUyYNm0apk2bpkhHd3TjBvD66/9u8fnOO1koU0ab2yURERERkTZ0eLATZjR7G28enAwAeGXfS6joXwnNQpur3Kz4rt66ii9OxQAAAr0C0a0mt8olIroXbvVJRERE4tPxHn/kPG+84Y2kJPs0+cknLXj2WW7xSURERETub0TEaAyuNwwAYLFZMHDnc/jzxh8FfJf7W3MiGmabGQDwXJ0BKGEsoXIjIiL3xoU/jZAkCb6+JRS7zF3kfJG7i54vcnel80XurnS+yN2Vzhe5u+L5Oh2v+COn2LVLj02b7Ft8BgbKmDMnC9xFiIiIiIhEIEkS/u/x2WhXORIAkJqVgr7be+DarWsqNys6s9WM6OMrAQA6SYfB4cNUbkRE5P648KcRkiQhKChY0TdrRc0Xubvo+SJ3Vzpf5O5K54vcXel8kbsrnq/XQ+IVf1RMqanA+PHejsczZ2YiJIRbfBIRERGROAw6A5a3j0Z46foAgPNpf6P/jl64nX1b5WZF89XpL3H11hUAwFNVO6GS/wMqNyIicn+8x98djEa9op/qNhj0iuTKsozk5GQEBQUp8oaqu+YXZjzdtbu75jvzHNXa2BRVfmMqSnc18gvKLu45quWxKaqcMRV5bPRGPSDLMJmU+XuWPMObb3rjyhX75+Lats1Gz57c4pOIiIiIxONn9MPaDhvw5KbWuJRxEb9d+RWj9wzHysiPoZPEug5kxbEox6+HR4xUsQkRkTi48HcHi0X5qwXMZuf/DJvNhtTUNPj6+kOnc/5f4O6cX9B4unN3d8131jmqxbEpqjvHVKTurs4vTHZxzlGtj01Rmc1WocdGL+tgslkV+TuWPMO33+rx6af2LT79/WXMnZvJLT6JiIiISFjl/SpgXceNePqLSGRY0vH1mS1469CbmN70/9SuVmi/XTmMI1d/AwCElQrHo+WbqtyIiEgMYn3Eg4iIiCg/Oh1g5T3+qGhu3gReeeXfLT5nzMhChQrc4pOIiIiIxFavdDhWRX4MvWTfGeWDo+/jo+OrVG5VeCuOLXP8enjESMVuS0FEpDVc+CMiIiLx6XUA7/FHRTR9uhcuXrRPi1u0yMZzz1lUbkRERERE5BytH2iHWU/Mczye9MN4fHv+GxUbFc7ljEvYevoLAEAp71J4tkZ3lRsREYmDC38aIUkS/P0DFPvki8j5IncXPV/k7krni9xd6XyRuyudL3J3xfMlCZLMK7To/n3/vR5r1pgAACVKyJg/n1t8EhEREZG2DAgbjNENxgAArLIVQ3YNwPGkWJVb3dtHcauQbbPfc/v5uoPgbfAu4DuIiCgHF/40QpIkBASUVPTNWlHzRe4uer7I3ZXOF7m70vkid1c6X+TuiudLEgAu/NH9SU/PvcXn1KlZqFSJ5xERERERac/Ux2bg6WrPAAAyLOl4blsPXEq/qG6pu8jMzsQncasBAHpJj0H1hqrciIhILFz40wibzYakpGuw2ZS5v5HI+SJ3Fz1f5O5K54vcXel8kbsrnS9yd6XzZZ0OUKg3adfbb3vh/Hn7dLhZs2wMHMgtPomIiIhIm3SSDkvaLMfDIY0AAJcyLuK57T2Rbr6pcrO8vvxrE5JuJwEAnq7WBeX9KqjciIhILFz405CsrEzmq5DNfPWyRc8XubvS+SJ3Vzpf5O6K5ksSwK0+6T4cOqTHqlX2LT59fe1bfOo4MyYiIiIiDfMx+OCTpzbggYAqAIDjSccwfPcgx5aa7kCWZaw4tszxeFjESBXbEBGJiW9vEBERkQZw4Y8K79YtYOzYf7f4nDw5C1Wr8vwhIiIiIu0r41sG6ztsREmvQADAnvO78caBCZDd5N9TP1/+CbFJvwMAGpRpiEYhj6jciIhIPFz4IyIiIvHxij+6D7NmeeHsWfs0+JFHsjF0KLf4JCIiIiLPUTO4Fj56ch2MOiMAIPr4Siw/tlTlVnYr77jaT6l70BMRaRkX/jRCkiQEBgYp9pehyPkidxc9X+TuSueL3F3pfJG7K50vcnfF83mPPyqkw4d1WL7c/gaHt7eMhQu5xScREREReZ5moc0xv+Vix+NpB9/AtjNfqdgISLx5AdvObAUAlPEpi87Vn1W1DxGRqDT5NseRI0fQtGlTfP/99/d8TkskSUKJEn6Kvlkrar7I3UXPF7m70vkid1c6X+TuSueL3F3xfF7xR4WQmWnf4lOW7efghAlZqF6d5w0REREReaZetftifKOJAAAZMkbtGYojV35VrU/08ZWwylYAwICwwfDSe6nWhYhIZJpb+EtKSsLy5cvRsGHDez6nNTabDVeuXIZNoasdRM4Xubvo+SJ3Vzpf5O5K54vcXel8kbsrns+FPyqEOXNMOHVKDwB46CErRo7kFp9ERERE5NleazwJPWr2BgDczr6Nftt74XzaOZf3uGW5hTUnogEARp0RA+oNcXkHIiKt0NzCX0BAAJYsWQJ/f/97PqdF2dnKvnklcr7I3UXPF7m70vkid1c6X+TuSueL3F3RfEmCxIU/uof//U+HpUtNAACTyb7Fp16vcikiIiIiIpVJkoT5rRajaYXHAQBJt6+h77buSM1KcWmPzac2IjkrGQDQpXpXhPiGuPTnExFpiVss/P3www9o2rQpxo0bl+v5xMREDB8+HE2aNEGrVq0wZ86cAq8SMJlMMBqNBT5HREREGpJzkzYu/lE+srLsW3zabPYtPl991YzatXlPSCIiIiIiAPDSeyH6ybWoHlgDAPBn8h8YvPN5mK1ml/x8WZax4liU4/Gw8Bdc8nOJiLTKoHaBFStWICYmBpUrV87z2ksvvYSwsDDs2bMH169fx4gRI1C6dGkMGjQIGzduxMaNG3N9/VtvvYXatWu7qjoRERG5i5z7Bsryv78m+seCBSbEx9sv7wsPt+LFF13zBgYRERERkSiCvIOxruNGdNjUBtczr+OHxP0Yv38MFrX6QLH7wOc4ePEHxN84AQBoFPIIGoY8rOjPIyLSOtUX/ry8vBATE4O3334bWVlZjudjY2Nx8uRJREdHw9/fH/7+/hg4cCA+/vhjDBo0CD169ECPHj1UbO5eJElCqVKlFfuLWOR8kbuLni9yd6XzRe6udL7I3ZXOF7m70vnyfxf+iP4jNlaH99+3b/FpMMhYtCgT3AiCiIiIiCivqiUfxCcdPkPXLZ2QZc3CZyfXoWrAgxjX6DVFf+6KY8scvx4eMVLRn0VE5AlU3+qzf//++d57Ly4uDqGhoShZsqTjubCwMJw9exbp6emurCgESZLg7e2j6Ju1ouaL3F30fJG7K50vcnel80XurnS+yN0Vz+fCH+XDYgHGjPFGdrb9/Bg71ox69bjFJxERERHR3TQu1wRL23zoePzuLzOx+dTGe3xH8ZxL+xs7z24DAJQrUR4dH+ys2M8iIvIUql/xdzcpKSkICAjI9VzOImBycjL8/Pzy/b5ff/0VixYtwpkzZxAXF4fPP/8cAwcOzPPckiVL8v1+o1Gv6A5hBoNekVybzYZLly6ifPkK0Omcv57rrvmFGU937e6u+c48R7U2NkWV35iK0l2N/IKyi3uOanlsiipnTEUeG4PRfgwmgwSYlPm7lsSzeLEJx4/bz4c6dawYO5ZbfBIRERERFaRz9Wcx9eY5zDz0JgDg5b0jUaFEKB6t0NTpP2t17ArIsH+Ac1DYUBj13J6DiKi43HbhD7Df2PV+NWrUCGvWrMnzfH7P5cdisd73z7xfZrPzf4bNZoPZnA2z2QqdzvlXO7hzfkHj6c7d3TXfWeeoFsemqO4cU5G6uzq/MNnFOUe1PjZFZTZbhR4byfrPn19Z2QC48EdAfLwO8+bZt/jU62W8/34mTCaVSxERERERCeLFBmPwd+pZrDkRDbPNjAE7+mB7tz2oFljDaT8j3ZKOdfGfAAC89F54PmyQ07KJiDyZ2y78BQcHIyUlJddzKSkpkCQJwcHBiv1cca/4k2Aw6GAy6RW6SsM98wt3xZ97dnfXfOde8aetsSmq/K/4E6O7GvkFZRf/ij/tjk1R/XvFn7hj47jiz6jjFX+E7Gz7Fp8Wi31S9+KLZtSvzy0+iYiIiIgKS5IkzH5iHi7cPI/vEvYiOSsZfbf1wPaue1HKp5RTfsbGPz5DmjkVANC1Rg+U9intlFwiIk/ntgt/9erVw6VLl3Djxg3HQl9sbCyqV6+OEiVKKPZzRb7iLzvbpuhVGu6aX5gr/ty1u7vmO/OKP62NTVHld8WfKN1dnV+Y7OJe8aflsSmqnCv+RB0bxxV/mRZAx61hPF1UlAlHj9oXgGvWtOLVV7nFJxERERHR/TLoDFgZ+TE6bY5E/I04nE09g/47emNT56/gbfAuVrZNtmHlsWWOx0MjXihuXSIi+ofzP87vJHXr1kV4eDjmzZuH9PR0nD59GtHR0ejTp4/a1dySJEkoW7YcJIUuVxQ5X+TuoueL3F3pfJG7K50vcnel80Xurnh+zhWERdgmnLTl1Ckd3nvPvqenTidj0aJMeBfvPQkiIiIiIo/lbwrA+o4bEeJbDgBw+PLPePnbF2CTi7ejxv6E73Aq5U8AwGMVmiG8dESxuxIRkZ3qV/yFh4cDALKzswEAe/bsAWC/uu/999/H1KlT0axZM/j5+aF3797o27evon1E3eoTAIxGnSJbs7lzfmHH0x27u2u+s89RLY1NUd1tTEXorlb+vbKdcY5qdWyK6r9jKurYcKtPAgCr1b7FZ1aWfTI3YoQFDz/MLT6JiIiIiIoj1L8i1nX8HJ2/eAq3sjPw5V+bUSXgQUx+9M0iZ66M/fdqv2HhI51Rk4iI/qH6wl9sbOxdXytXrhxWrFjhwjZib/V56VIiypcPVei+TO6bX5itPt21u7vmO3OrT62NTVHlt9WnKN1dnV+Y7OJu9anlsSmqnK0+RR2bnK0+LeZsyAr8PUtiWLHCiF9/tS/8PvigDRMnZqnciIiIiIhIGyLKNMCH7Vej/44+sMk2LDwyF1VKVkXfOs/fd9aZlL/wzbldAICKfpXwZNUOzq5LROTR3HarTyIiIqJCy7lc38aruzzVmTMS3n3XCwAgSTIWLsyEj4/KpYiIiIiINKR9lafw9uOzHY/H7x+D/Qnf3XfOqtgPHb8eFD4MBp3q16YQEWkK/1S9g6hbfdpsEgwGHUwmvUJXabhnfmHG0127u2u+M89RrY1NUeU3pqJ0VyO/oOzinqNaHpuiyhlTkcdGb7JPaYwGbvXpiWw2YNw4b9y+bZ/EDR1qwaOP8spPIiIiIiJnGxI+An+nnsXyYx8g25aNwbuex9fP7kadUnUL9f03zWn49OQ6AICPwQf96vRXsi4RkUfiwt8dRN7qMzvbBrPZCp1O9qj8wmz16a7d3TXfmVt9am1siiq/rT5F6e7q/MJkF3erTy2PTVHlbPUp6tggm1t9erLoaCMOHbJPax94wIbJk7nFJxERERGRUqY3fRvnbp7DzrPbcNOchue29cCObnsRUqJcgd/72cl1SLfcBAB0r9kbQd7BStclIvI43OpTI3Q6nWL3ZBI9X+TuoueL3F3pfJG7K50vcnel80Xurnh+zuX6svMXLMm9nTsnYeZML8fjhQszUaKEioWIiIiIiDROr9Mjqu1KNCjTEABwIT0B/bb3QoYl457fZ5NtWBm73PF4WMQLivYkIvJUXPjTCFmWYbVaISv0hqfI+SJ3Fz1f5O5K54vcXel8kbsrnS9yd8XzHff448KfJ5Fl4JVXvHHrlv33f8AAMx5/nFd8EhEREREprYSxBNZ0/BwV/SoBAH6/9j+M/GYIrLa7z8f3ntuNs6lnAADNK7ZE7eA6LulKRORpuNXnHcS9x58NV69eRWhoRYXuy+Se+YW7x597dnfXfOfe409bY1NU+d/jT4zuauQXlF38e/xpd2yK6t97/Ik7Ngaj/RhMRgky7/HnMdauNeKHH+zT2YoVbZg2jVt8EhERERG5SohvCNZ3ikHHze1w05yGnX9vx/Qf38DMx2fl+/UrYpc5fj08YqSrahIReRwu/N2B9/gTL5/3+HN+Pu/x5/x83uPPudm8xx/v8Zc33P5/5iwr7/HnIRITJUyb9u8Wn/PmZcLPT8VCREREREQeqHZwHayOXIM+27oh25aN5cc+gFFvxDPVuzm+xmDU4XTSWexL+BYAUK5EeZT1CcGFmwmo6F9JrepERJrFhT8iIiISn2OrT5u6PUgRmZnA1q0G7NhhQHKyhKAgGWfO6JCebv9979vXjFatuOBLRERE9+f48eN47733EBcXB19fXwwcOBBDhgwBAKxbtw6ffPIJrly5gjJlyqB3796O1+6UkpKC6dOn45dffoFOp0OLFi0wdepUeHt748KFC2jTpg1MJlOu7xk7duxd84hE06JSK7zRZBpmHJoKAFjyv0VY8r9Fd/36yxmXELmpJbz0XjjU9wgX/4iInIwLfxoiKblHqeD5IncXPV/k7krni9xd6XyRuyudL3J3RfOlnP+Twbv8acvOnXq89JIPUlMl6HQybDYJkiRDlu2/6YGBNsyYwS0+iYiI6P6kpKRg6NCh6NGjB5YvX44LFy5gxIgRqFChAoxGI95//32sWLEC9erVw5EjRzB48GBUrlwZbdu2zZM1depUmM1mfP3117BYLBgzZgzmzp2LKVOmOL4mNjbWlYdH5HLNK7a47+/JsmbhRuZ1LvwRETmZ82/gQ6rQ6XSoUEGZezKJni9yd9HzRe6udL7I3ZXOF7m70vkid1c8P2dBUeayn5bs3KnHgAE+SEuzP7bZ7L/POYt+AJCaKuHQId7XkYiIiO7P0aNHkZGRgbFjx8LHxwc1atTAkCFDEBMTg7Jly2LBggWIiIiATqdDo0aNUK1aNZw6dSpPTlJSEvbs2YNx48YhODgYISEhGDVqFDZt2gSLxaLCkREREZGn4xV/dzAa9VDyYgeDQZk3pmRZRlZWJry8vBW5msJd8wsznu7a3V3znXmOam1siiq/MRWluxr5BWUX9xzV8tgUVc6Yijw2BpN9SmM06CCbuAikBZmZwEsv+QDIvdCXn5de8kFsbDq8vV3RjIiIiLTizjlpyZIlER8fj4iICMdzFosFe/bsQUJCAlq1apUnIz4+Hnq9HrVq1XI8FxYWhlu3buHMmTMoUaIEAGDChAn48ccfkZ2djR49euDll1+G0WhU6MiIiIjIk3Hh7w4Wi/L3hzGbnf8zbDYbLl26gvLlQxW5ksKd8wsaT3fu7q75zjpHtTg2RXXnmIrU3dX5hckuzjmq9bEpKrPZKvTYyFb7lX6WLAtsCvw9S663dasBqakFLxDLsoTUVOCrrwzo0SPbBc2IiIhICxo2bAgfHx8sWrQII0eOxLVr17B+/XqkpqY6vuaDDz7A4sWLERgYiFmzZqF27dp5clJSUuDn55drEbFkyZIAgOTkZAQFBaFhw4Zo164d3n77bcTHx+Oll16CwWDAmDFjlD9QIiIi8jhc+CMiIiIN4FafWrNjh8FxT7+C6HQytm/nwh8REREVXsmSJbF06VLMnj0ba9euRY0aNdC1a1ccP37c8TWjRo3C0KFDceDAAUyaNAlGoxEtWuS9j5l8jzlo2bJl8dlnnzkeR0REYMSIEVi+fPldF/6U3o1KTUrthCUCrR+7wVi0D3cajDqYNL5ri9Z/7++Fx+6ZeOzq48IfERERiY/3+NOc5GSpUIt+gP3ef8nJGn13jIiIiBTTqFEjbNy40fF4165dCAkJyfU1JpMJrVu3RmRkJNavX59n4S84OBjp6emwWq3Q6+1v9qWkpAAASpUqle/PDQ0NRVJSEmRZzncLfFfsRqUmJXbCEoWWjz3bYivy92l5XHJ4wjHeDY/dM/HY1eX8fbxINQaDsnvDi5wvcnfR80XurnS+yN2Vzhe5u9L5IndXNF+rH4n2YEFBMnS6wi3k6nQygoK46EtERESFl5WVhS+++ALp6emO5w4ePIiGDRti+vTpmDt3bq6vlyQJBkPez8/XqVMHsizj5MmTjudiY2MREBCAqlWr4tChQ4iKisr1PWfOnEFoaKgi99UmIiIi4hV/d1B6OwXlLvXUo1KlUIWy3Te/cOPpnt3dNd+556i2xqao8h9TMbqrk3/v7OKfo9odm6L6d0zFHZucbWWMRj1kjW8T4ymeeiob27YVbqHYZpPQoQO3+SQiIqLCMxqNWLJkCf766y+MGzcOP/30E7Zu3Yp169bh3LlzmDJlCpo3b45GjRrh999/x7Zt2zBx4kQAwDfffIPo6GisX78ewcHBiIyMxMKFCzF79myYzWYsXboU3bt3h8FggL+/P5YuXYoKFSqgQ4cOOHnyJFatWoUhQ4aoPAJERESkVVz4u4MrtlNQ4lJPWZZx61YGfH1LKPKJMXfOL2g83bm7u+Y76xzV4tgU1Z1jKlJ3V+cXJrs456jWx6aozGar2GPzz7YyFosVNjfYUoGKr3PnbLzxhoy0NECW736+SJKMgADg6ae58EdERESFp9PpsHDhQkybNg1r165FuXLlMGfOHISFhSEsLAypqamYNGkSkpKSUK5cObzwwgvo3r07AODmzZs4d+6cI+utt97CtGnT0KZNGxiNRnTq1Anjxo0DANSrVw8LFizAkiVL8Oabb8Lf3x/PP/88BgwYoMpxExERkfZx4U8jZFlGSkoyfHx8FXuzVtR8kbuLni9yd6XzRe6udL7I3ZXOF7m7K/JJW7y9gSVLbqN/fx9Ikpzv4p8k2bf3XLLkNry9Xd2QiIiIRBceHo7Nmzfn+1qfPn3Qp0+ffF/r2rUrunbt6njs7++P+fPn3/XntGvXDu3atSteWSIiIqJC4j3+iIiIiDTm8OHDCA8Pz/W/evXqoVatWgCA9PR0vP7663jooYfQuHFjTJ06FZmZmflm3bhxA6+99hqaNm2Kxo0bo3///oiLi3PJcURGWvHxx7cREGB/nHPPv5z/DwgAPvnkNiIjeZUnERERERERERHAK/6IiIiINKdx48aIjY3N9dyyZctw8uRJAMDkyZMBAHv37kVWVhYmT56MXbt2oUuXLnmyZsyYgZs3b2Lbtm0oUaIElixZguHDh+P777+HXq/8/RSffNKK2Nh0fPWVAdu3G5CcLCEoSEaHDtl4+ulsXulHREREROQGgr1LwUvvhSxrVqG/x0vvhWDvUgq2IiLyTFz40xAvL2Xf+RI5X+TuoueL3F3pfJG7K50vcnel80Xu7op8yt/FixcRHR2NL774AomJifj222+xb98+BAUFAQBWr1591++Ni4vD4MGDHV/bpUsXLF++HNeuXUO5cuVc0t/bG+jRIxs9evA+fkRERERE7qiifyUc6nsENzKv53nNYNQh+5/7sv9XsHcpVPSv5Ip6REQehQt/GqHT6VC6dBnmuzib+epli54vcnel80XurnS+yN1dkU93t2jRInTr1g0VKlTA1q1bUb58eWzZsgXR0dGQJAldunTB2LFjYTDknRq2bNkS27ZtQ9u2beHn54cvv/wSderUQUhIiApHQkRERERE7qqif6V8F/JMJj3MZm7PT0TkKrzHn0bIsoy0tFTIssx8F2YzX71s0fNF7q50vsjdlc4Xubsr8il/Fy5cwO7duzFo0CAAwOXLl3HlyhVcunQJu3btwpIlSxATE4O1a9fm+/0TJkyAyWRC8+bN0bBhQ2zbtg3z5s2DJEmuPAwiIiIiIiIiIioEXvF3B6NRDyXfxzIYlLkXjs1mw+3b6QgODoRO5/z1XHfNL8x4umt3d8135jmqtbEpqvzGVJTuauQXlF3cc1TLY1NUOWMq8tgYjPY8o1EP2aT8fedEsm7dOrRv3x5lyvx7taXVanUs6NWvXx89evTAzp07MXDgwDzfP2PGDADAvn374O/vj08++QRDhgxx3PPvTkrPpdSm1FxOBDx2z8Rj91yefPw8diIiIiISGRf+7mCxKH/ZuRKXtttsNmRn22A2W6HTOf9KCnfOL2g83bm7u+Y76xzV4tgU1Z1jKlJ3V+cXJrs456jWx6aozGar0GMj/3O/CIvFChu3kMll165deP311x2PS5cuDS8vL5hMJsdzoaGh2L59e57vvXXrFjZt2oT169ejfPnyAICRI0fio48+wsGDB9G+ffs83+OKuZTaPHmbIh67Z+Kxey5PPn4eOxERERGJilt9EhEREWlUfHw8EhMT0axZM8dz1atXR0ZGBhISEhzPJSYmokKFCnm+32azQZZl2Gw2x3OyLMNisShbnIiIiIiIiIiIioQLfxohSRJ8fUsodr8dkfNF7i56vsjdlc4XubvS+SJ3Vzpf5O6uyKe8Tpw4gcDAQPj5+TmeCw8PR1hYGN5++22kpaUhPj4eMTEx6NatGwDg2LFjePLJJ2E2m+Hn54dHHnkEUVFRSEpKQmZmJpYvXw6j0YjGjRurdVhERERERERERHQXXPjTCEmSEBQUrOibtaLmi9xd9HyRuyudL3J3pfNF7q50vsjdXZFPeSUlJeW6tx9g/31YunQprFYrnnjiCQwZMgSDBw9Gly5dAAC3b9/G2bNnIcv27VgXLFiAoKAgPPPMM2jevDkOHjyIFStWICgoyOXHQ0RERERERERE9ybJOe/qEADg2rWbiuabTHpF9suXZRkpKckIDAxS5A1Vd80vzHi6a3d3zXfmOaq1sSmq/MZUlO5q5BeUXdxzVMtjU1Q5Yyry2Bj3fYvAns/g+m/HYav0gFOzc5Qp469IrtYoPZdSm1JzORHw2HnsnsaTjx3w7OPnsSt37JxPFY6W51P874vH7ok8+fh57Dx2T+Mucyle8acRsizj1q0MKLWOK3K+yN1Fzxe5u9L5IndXOl/k7krni9zdFflERERERERERESejgt/RERERERERERERERERBrAhT8iIiIiIiIiIiIiIiIiDeA9/oiIiIiIiIiIiIiIiIg0gFf8EREREREREREREREREWkAF/6IiIiIiIiIiIiIiIiINIALf0REREREREREREREREQawIU/IiIiIiIiIiIiIiIiIg3gwp8LJCYmYvjw4WjSpAlatWqFOXPmwGazqV3LrdWqVQv16tVDeHi4438zZ84EABw6dAjdu3fHQw89hI4dO2Lr1q25vveTTz5BZGQkHnroIfTp0wfHjx9X4xBU98MPP6Bp06YYN25cnte2b9+Op59+Gg0bNkTXrl1x4MABx2s2mw0LFixAmzZt0LhxYwwZMgQJCQmO11NSUjB27Fg0bdoUjz/+ON544w1kZma65JjUdrcx3bx5M2rXrp3rfA0PD8exY8cAcEzvJjExEaNHj0aTJk3QtGlTTJw4EWlpaQCA+Ph49OvXDw8//DDat2+P1atX5/re4pzDWna3Mb1w4QJq1aqV5xxdtWqV43s5pkQFi4qKwuOPP44GDRpg4MCBuHDhgtqVXOLEiRPo378/GjVqhGbNmmH8+PG4ceOG2rUUUdT5k1bc6/h3796Nzp07o2HDhoiMjMTnn3+uQkPl3OvYc2RkZKBly5aYOHGiC5sp717HfuXKFYwcORINGjRA06ZNMW/ePE39W/Zex75u3TpERkY6zvk1a9ao0FA5xZmLExUV51Lan0sBnj2f4lyKc6k7cS7FuZRqcymZFPfss8/KU6ZMkdPS0uSzZ8/K7du3l1evXq12LbdWs2ZNOSEhIc/zV65ckRs0aCBv3LhRzszMlA8ePChHRETIx44dk2VZlvfu3Ss3atRIPnr0qHz79m15+fLlcrNmzeSMjAxXH4KqPvzwQ7l9+/Zy79695bFjx+Z67cSJE3K9evXkffv2yZmZmfKWLVvk+vXry5cuXZJlWZY/+eQTuVWrVvJff/0l37x5U37rrbfkp59+WrbZbLIsy/KLL74oDx8+XL5+/bp8+fJluVevXvLMmTNdfoyudq8x3bRpk9yvX7+7fi/HNH+dOnWSJ06cKKenp8uXLl2Su3btKk+ePFm+ffu23Lx5c3nx4sVyRkaGfPz4cfmRRx6Rd+3aJcty8c9hLbvbmCYkJMg1a9a86/dxTIkKtnbtWvnJJ5+UT58+Ld+8eVOeOXOmR/xZbbFY5GbNmsnz5s2Ts7Ky5Bs3bsiDBg2SX3rpJbWrOV1x5k9acK/j//333+Xw8HD5m2++kS0Wi7xv3z45LCxMPnz4sEptnetex/5f7777rvzwww/Lr7/+ugvbKetex26z2eTu3bvLM2fOlG/evCn/9ddfcrdu3eQff/xRpbbOda9j37dvn1y/fn356NGjstVqlY8ePSrXr19f/u6779Qpq4CizsWJiopzKe3PpWTZs+dTnEtxLsW51L84l1J/LsUr/hQWGxuLkydPYvz48fD390eVKlUwcOBAbNiwQe1qQvrqq69QpUoVdO/eHV5eXmjatClat26NjRs3AgA2bNiArl27on79+vD29sbQoUMBAN99952atV3Oy8sLMTExqFy5cp7XNm7ciBYtWqBFixbw8vJC586dUbNmTceVkxs2bMDAgQNRrVo1+Pn5Ydy4cTh9+jR+//13JCUlYc+ePRg3bhyCg4MREhKCUaNGYdOmTbBYLK4+TJe615gWhGOaV1paGurVq4dXX30VJUqUQLly5fDss8/i119/xb59+2CxWDBy5Ej4+voiLCwMPXr0cPy5WZxzWMvuNaYF4ZgSFWz16tUYN24cHnzwQfj5+WHKlCmYMmWK2rUUd+3aNVy7dg1dunSByWRCUFAQ2rVrh/j4eLWrOV1x5k9acK/jT0lJwYgRI9C2bVsYDAa0aNECNWvWLNTfMSIozDzv5MmT+Prrr/Hss8+6sJny7nXshw8fRkJCAiZMmAA/Pz9Uq1YNMTExeOyxx1Ro6nz3Ovbjx4+jRo0aqF+/PnQ6HerXr4+aNWvixIkTKjR1vuLMxYmKinMp7c+lAM+eT3EuxbnUnTiX4lxKzbkUF/4UFhcXh9DQUJQsWdLxXFhYGM6ePYv09HQVm7m/efPmoWXLlmjUqBGmTp2KjIwMxMXFoW7durm+rm7duo7tPO98XafToU6dOoiNjXVpd7X1798f/v7++b52tzGMjY1FZmYm/vrrr1yv+/n5oXLlyoiNjUV8fDz0ej1q1arleD0sLAy3bt3CmTNnlDkYN3GvMQWAS5cuYdCgQWjcuDHatGmDLVu2AADH9C4CAgLw7rvvonTp0o7nLl26hLJlyyIuLg61atWCXq93vHav/85zXi/MOaxl9xrTHBMmTMDjjz+ORx99FPPmzXMsLnNMie7typUruHDhAlJTU9GhQwc0adIEL7/8sqa3aMoREhKCOnXqYMOGDcjIyMD169exe/dutGzZUu1qTlfU+ZNW3Ov4n3jiCYwePdrxODs7G9euXUNISIir6imqoHmeLMuYPn06xo0bh4CAABc2U969jv23335DzZo1sWDBAjRp0gRt2rTR1JaP9zr25s2b46+//sLPP/8Ms9mM//3vfzh9+jQef/xxF7dURnHm4kRFwbmUZ8ylAM+eT3EuxbnUnTiX4lwqhxpzKS78KSwlJSXPH2g5i4DJyclqVBJCzr7Hu3fvxoYNG3D06FHMmDEj3/EMDAx0jGVKSkquRVbAPt4c63/da4xSU1Mhy/JdX09JSYGfnx8kScr1GuDZ53NwcDCqVKmC1157DQcPHsQrr7yCyZMn49ChQxzTQoqNjcXatWsxcuTIu/53npKSApvNVqxz2JP8d0xNJhMaNmyIdu3a4bvvvsOHH36IrVu34oMPPgBQvD8XiDzB5cuXAQA7d+5EdHQ0tmzZgsuXL3vEp9R1Oh0WL16MvXv34qGHHkLTpk2RnZ2NV199Ve1qLsU5Zm5z586Fr68vOnTooHYVl9iwYQMkSULXrl3VruJSly9fxtGjR1GqVCns27cPb775JhYsWIA9e/aoXU1xERERmDRpEgYPHozw8HD069cPY8eORUREhNrVFHE/c3GiouBcinMpgPOp/+JcyjNwLsW5VA415lJc+HMBWZbVriCcDRs2oEePHjCZTKhWrRrGjx+Pr7/+ulBbH3K8C1bQGN3rdY5vXi1btsTKlStRt25dmEwmdOzYEe3atcPmzZsdX8MxvbvffvsNQ4YMwauvvoqmTZve9ev+uzhanHPYE9w5pmXLlsVnn32Gdu3awWg0IiIiAiNGjCj0OVqY14m0LOf8Hzp0KEJCQlCuXDm89NJL+Pbbb5GVlaVyO2WZzWa88MILePLJJ/Hrr7/i+++/h7+/P8aPH692NZfjn4P2MZgzZw6+/vprREVFwcvLS+1Kirt+/ToWLVqE6dOn55qLeAJZlhEcHIyhQ4fCx8cHLVq0QLt27bBjxw61qynup59+wrx587By5UocO3YMH3/8MZYtW6bJN+qKMhcnul+cS3EulcPT51OcS3nW3yWcS3Eu9V+uPv+58Kew4OBgpKSk5HouJSUFkiQhODhYnVICqlixIqxWK3Q6XZ7xTE5OdoxlUFBQvuPNsf7XvcYoMDAw3zFOSUlBqVKlEBwcjPT0dFit1lyvAUCpUqUUbi6W0NBQXL16lWNagG+//RbDhw/H5MmT0b9/fwD2Pzfv/MRfSkqKYyyLcw57gvzGND+hoaFISkqCLMscU6IC5Gzf8d9P7YWGhkKWZVy/fl2tWi5x6NAhXLhwAa+88gr8/f0REhKCl19+Gd98802ePxe0jHNMwGazYeLEifj222/x6aef4sEHH1S7kkvMmjULzzzzTK5t2T1FmTJl8mzfFBoaimvXrqnUyHU+/fRTtG/fHo899hi8vLzQqFEjdOzYETExMWpXc6qizMWJioJzKc6lAM6nOJfiXArgXIpzKdfNpThrU1i9evVw6dKlXPuWx8bGonr16ihRooSKzdzXiRMnMGvWrFzPnT59GiaTCS1atMizH+7x48dRv359APbxjouLc7xmtVpx4sQJx+tkH6M7xzA2Nhb169eHl5cXatSokWsM09LScP78eURERKBOnTqQZRknT57M9b0BAQGoWrWqy47B3Xz66afYvn17rudOnz6NSpUqcUzv4ciRI3j99dexaNEiPPPMM47n69Wrhz/++APZ2dmO53LO0ZzXi3oOa93dxvTQoUOIiorK9bVnzpxBaGgoJEnimBIVoFy5cvDz80N8fLzjucTERBiNxlz30dQiq9UKm82W69PZZrNZxUbquNefk57inXfewalTp/Dpp5+iUqVKatdxma1btyImJgZNmjRBkyZNsHLlSmzbtg1NmjRRu5riqlWrhoSEBGRkZDieS0xMRGhoqIqtXMNms+X6YB6gvT/7ijoXJyoKzqU4lwI4n+JcinMpgHMpLXH3uRQX/hRWt25dhIeHY968eUhPT8fp06cRHR2NPn36qF3NbZUqVQobNmzAhx9+CLPZjLNnz2LRokXo1asXunTpgsTERGzcuBFZWVnYv38/9u/fj549ewIA+vTpgy+//BJHjx7F7du3ERUVBZPJpNmbJhdFz5498eOPP2Lfvn3IyspCTEwM/v77b3Tu3BmAfQw/+eQTnD59Gunp6Zg7dy7q1KmD8PBwBAcHIzIyEgsXLsSNGzdw+fJlLF26FN27d4fBYFD5yNRjNpsxc+ZMxMbGwmKx4Ouvv8b333+P3r17A+CY5ic7OxtTpkzB+PHj89zYt0WLFvDz80NUVBRu376N33//HTExMY4/N4tzDmvZvcbU398fS5cuxZYtW2CxWBAbG4tVq1ZxTIkKyWAwoHv37li2bBnOnTuH69evY+nSpXj66ac1/Wc1ADRs2BC+vr5YvHgxbt++jeTkZERFRaFx48YIDAxUu57LFPTnpNb99ttv2Lp1Kz788EOP+n0HgP379+Orr77Cli1bsGXLFvTu3RutW7fGli1b1K6muNatWyMgIADvvfcebt26hUOHDmHPnj0ecX+e1q1bY9euXfj111+RnZ2NY8eOYceOHWjXrp3a1ZyiOHNxoqLgXIpzKcCz51OcS3EuxbkU51KunktJsqdvruwCly9fxtSpU/HLL7/Az88PvXv3xosvvuhx+xrfj8OHD2PevHn4448/YDKZ8Oyzz2LcuHHw8vLC4cOH8X//9384ffo0QkND8eqrr6J9+/aO712/fj0+/PBDXL9+HeHh4Zg+fTpq1qyp4tG4Xs6b8TmfLMiZSMfGxgIAdu/ejXnz5iExMRHVq1fHG2+8gcaNGwOw7z+9ePFifPbZZ8jIyECTJk3w1ltvoVy5cgCAmzdvYtq0afjuu+9gNBrRqVMnTJw4ESaTydWH6VL3GlNZlhEVFYWYmBhcu3YNFStWxIQJE9CqVSsAHNP8/Prrr3juuefyPcadO3ciIyMD06ZNw/Hjx1G6dGkMGzYMffv2dXxNcc5hrSpoTE+cOIElS5bg77//hr+/P55//nkMGzbMsc0Ax5To3sxmM959911s27YNFosFkZGRmDp1qkfs4HD8+HHMnj0bJ0+ehMlkwiOPPIKJEyciJCRE7WpOVZz5kxbc6/gnT56ML774Is+bs40bN8bq1atdW1QBBf3e/9fixYuRmJiYZ4cSURV07H/++SemTZuGuLg4BAcHY8yYMXj22WfVKetkBR37xx9/jPXr1+PKlSsICQlBz549MXjwYE38O764c3GiouBcSvtzKcCz51OcS3EuBXAuBXAu5S5zKS78EREREREREREREREREWkAt/okIiIiIiIiIiIiIiIi0gAu/BERERERERERERERERFpABf+iIiIiIiIiIiIiIiIiDSAC39EREREREREREREREREGsCFPyIiIiIiIiIiIiIiIiIN4MIfERERERERERERERERkQZw4Y+IiIiIiIiIiIiIiIhIA7jwR0RERERERERERERERKQBXPgjIiqmCxcuoFatWjh9+rTaVYiIiIiE9fPPP6NWrVrIyspSuwoRERGRkDifIiIAMKhdgIhIKa1bt8aVK1eg0+kgSRL8/f3x6KOPYsKECQgJCSnw+3fv3o1atWqhcuXKLmhLRERE5B7+O4e607vvvotOnTqp0IqIiIhIHJxPEZGauPBHRJo2ZcoU9OnTBwBw5coVTJgwAW+++SaWL19e4Pe+//77mDBhAhf+iIiIyOP8dw5FRERERPeP8ykiUgu3+iQijxESEoL27dvj7NmzAIAbN27g5ZdfxmOPPYZGjRph2LBhuHTpEgCgc+fOOHXqFEaNGoVJkyYBAOLi4tCrVy80aNAAkZGR2L59e678s2fPolu3bggPD0evXr1w+fJl1x4gERERkQu0bt0aH330EQYNGoSIiAi0b98eR44ccbx++fJljBw5Ek2aNMHDDz+McePGISUlxfH6gQMH0LlzZzRo0ABdunTBoUOHcuX/9ttv6NixI+rVq4dhw4bh5s2brjo0IiIiIpfgfIqIlMSFPyLyCLIsIyEhAVu2bHFspzBnzhxkZGRg79692L9/PwDgnXfeAQBs3boVAPDBBx/g3Xffxe3btzFixAi0b98ev/zyC9588028/vrrue7rt3HjRkRFRWH//v1IT0/HypUrXXyURERERK4RHR2NMWPG4PDhw2jXrh1Gjx6N7OxsAMCoUaPg7++PvXv3YteuXbh69SqmTZsGwL4Dw0svvYQXXngBhw8fxoABAzB69Ohcb2R9/fXX+PTTT7Fjxw4cP34cMTExahwiERERkaI4nyIipXCrTyLStP/7v//DO++8A1mWYbFY8Nhjj+G5554DAMyYMQPZ2dnw9fUFALRt2xbLli3LN+fAgQOwWCwYOHAg9Ho9mjVrhoULF8Lb2xuyLAMA+vbti7JlywIAHnvsMceVhURERESiyZlD/Zevry9+/vlnAPZPqTdo0AAAMGLECKxatQq///47fH19ERcXh+XLl8PPzw9+fn4YPnw4Ro8eDbPZjB07dqBSpUro0KEDAKBr167w8vKCzWZz/JzBgwcjICAAAQEBaNCgAedUREREJCTOp4hILVz4IyJN++9+6mlpaVizZg2eeeYZbN26FUlJSZg1axaOHTuGzMxM2Gw2BAYG5ptz/vx5lCtXDnq93vFcmzZtAAAXLlwAAFSsWNHxmre3N8xms0JHRURERKSsgu5JU7VqVcevAwIC4O/vj6tXr8JgMKBkyZIoU6aM4/UHHngAFosFV65cwfnz53PNmQCgY8eOuR5zTkVERERawPkUEamFW30SkccICAjA6NGjYTQasX37dowYMQLBwcHYtWsXYmNjMX369Lt+r06ny/XJKSIiIiJPdue8SJZlSJJ0zzeVJEkq1JxKkiSndCQiIiJyZ5xPEZFSuPBHRB4pLS0NiYmJeP755xEcHAwAOHHixF2/vlKlSkhMTMw1+fryyy8RHx+veFciIiIid3P+/HnHr1NTU5Geno5y5cqhUqVKSE1NRVJSkuP1M2fOwMvLCyEhIahYsWKerabWrl2LhIQEl3UnIiIicgecTxGRUrjwR0QeIysrC9HR0UhOTkZkZCR8fX1x9OhRZGVl4auvvkJ8fDzS09ORkZEBAPDy8sK5c+eQnp6OJ554Ar6+vli2bBmysrLwyy+/YNq0abm2/iQiIiLyFN999x3i4uKQlZWF5cuXo3Tp0ggPD0d4eDiqVauGefPm4datW7hy5QqioqLQsWNHGI1GdOrUCZcuXcLnn38Os9mMbdu2Yf78+ShRooTah0RERETkUpxPEZFSeI8/ItK0/95I2cvLC3Xr1sXKlSvx4IMPYvr06ZgzZw4WLVqEjh07YvHixejXrx/at2+PgwcPonfv3njvvffw448/IioqCtHR0Zg4cSJWrlyJ8uXL45133kHNmjUd9/gjIiIi0or/zqH+q1OnTgCAbt26Ye7cufjtt99Qrlw5LFmyxPGBqA8++AAzZ85Ey5Yt4ePjg7Zt22L8+PEAgNKlS2PVqlWYNm0a3n77bVSpUgVLly517MBAREREpBWcTxGRWiRZlmW1SxAREREREZEYWrdujWHDhqFPnz5qVyEiIiISEudTRKQkbvVJREREREREREREREREpAFc+CMiIiIiIiIiIiIiIiLSAG71SURERERERERERERERKQBvOKPiIiIiIiIiIiIiIiISAO48EdERERERERERERERESkAVz4IyIiIiIiIiIiIiIiItIALvwRERERERERERERERERaQAX/oiIiIiIiIiIiIiIiIg0gAt/RERERERERERERERERBrAhT8iIiIiIiIiIiIiIiIiDeDCHxEREREREREREREREZEGcOGPiIiIiIiIiIiIiIiISAP+H09PSBJp4X/nAAAAAElFTkSuQmCC", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "full_arcface -> mAP 78.10% Rank-1 93.39% Trainable params: 22,025,320\n", "vit_small_patch16_224_TransReID 384 /kaggle/input/models/simonerimondi/personvit/pytorch/default/3/PersonViT_small_pretrained_market.pth partial_arcface\n", "\n", "######################################################################\n", "# RUN: partial_arcface | Partial FT x ARCFACE\n", "######################################################################\n", "using Transformer_type: vit_small_patch16_224_TransReID as a backbone\n", "using stride: [16, 16], and patch number is num_y16 * num_x8\n", "Loading pretrained model from /kaggle/input/models/simonerimondi/personvit/pytorch/default/3/PersonViT_small_pretrained_market.pth\n", "===========building transformer===========\n", "[partial_arcface] trainable 768 / 22,025,320 (0.0%)\n", "AdamW LR=0.0003 WD=0.0001 warmup=3 ep total=20 ep\n", "\n", "============================================================\n", "FINE-TUNING: best_partial_arcface.pth\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 1/20: 100%|██████████| 140/140 [08:19<00:00, 3.57s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 1/20 loss=42.3101 lr=1.20e-04\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 2/20: 100%|██████████| 140/140 [08:24<00:00, 3.61s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 2/20 loss=40.6467 lr=2.10e-04\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 3/20: 100%|██████████| 140/140 [08:24<00:00, 3.60s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 3/20 loss=38.9351 lr=3.00e-04\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 4/20: 100%|██████████| 140/140 [08:21<00:00, 3.58s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 4/20 loss=37.3838 lr=2.97e-04\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 5/20: 100%|██████████| 140/140 [08:21<00:00, 3.58s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 5/20 loss=36.0934 lr=2.90e-04\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:06<00:00, 2.61it/s]\n", "Extracting: 100%|██████████| 195/195 [02:40<00:00, 1.22it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 75.62%\n", " Rank-1 : 93.00%\n", " Rank-5 : 97.18%\n", " Rank-10: 98.01%\n", " Valid Q: 2057\n", "============================================================\n", " -> Best checkpoint saved (mAP 75.62%)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 6/20: 100%|██████████| 140/140 [08:19<00:00, 3.56s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 6/20 loss=35.0304 lr=2.78e-04\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 7/20: 100%|██████████| 140/140 [08:23<00:00, 3.59s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 7/20 loss=34.1624 lr=2.61e-04\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 8/20: 100%|██████████| 140/140 [08:20<00:00, 3.57s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 8/20 loss=33.3902 lr=2.40e-04\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 9/20: 100%|██████████| 140/140 [08:19<00:00, 3.57s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 9/20 loss=32.7361 lr=2.17e-04\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 10/20: 100%|██████████| 140/140 [08:19<00:00, 3.57s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 10/20 loss=32.1413 lr=1.91e-04\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:06<00:00, 2.66it/s]\n", "Extracting: 100%|██████████| 195/195 [02:39<00:00, 1.22it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 75.60%\n", " Rank-1 : 92.95%\n", " Rank-5 : 97.28%\n", " Rank-10: 97.96%\n", " Valid Q: 2057\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 11/20: 100%|██████████| 140/140 [08:12<00:00, 3.52s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 11/20 loss=31.6336 lr=1.64e-04\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 12/20: 100%|██████████| 140/140 [08:20<00:00, 3.57s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 12/20 loss=31.1731 lr=1.36e-04\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 13/20: 100%|██████████| 140/140 [08:21<00:00, 3.58s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 13/20 loss=30.7992 lr=1.09e-04\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 14/20: 100%|██████████| 140/140 [08:21<00:00, 3.58s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 14/20 loss=30.4285 lr=8.31e-05\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 15/20: 100%|██████████| 140/140 [08:27<00:00, 3.63s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 15/20 loss=30.0852 lr=5.96e-05\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:06<00:00, 2.62it/s]\n", "Extracting: 100%|██████████| 195/195 [02:39<00:00, 1.22it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 75.61%\n", " Rank-1 : 93.10%\n", " Rank-5 : 97.28%\n", " Rank-10: 97.96%\n", " Valid Q: 2057\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 16/20: 100%|██████████| 140/140 [08:22<00:00, 3.59s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 16/20 loss=29.7806 lr=3.91e-05\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 17/20: 100%|██████████| 140/140 [08:17<00:00, 3.55s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 17/20 loss=29.5116 lr=2.25e-05\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 18/20: 100%|██████████| 140/140 [08:20<00:00, 3.57s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 18/20 loss=29.1928 lr=1.01e-05\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 19/20: 100%|██████████| 140/140 [08:28<00:00, 3.63s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 19/20 loss=28.9904 lr=2.55e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 20/20: 100%|██████████| 140/140 [08:27<00:00, 3.62s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 20/20 loss=28.7582 lr=0.00e+00\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:10<00:00, 1.58it/s]\n", "Extracting: 100%|██████████| 195/195 [02:58<00:00, 1.09it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 75.60%\n", " Rank-1 : 93.05%\n", " Rank-5 : 97.28%\n", " Rank-10: 97.96%\n", " Valid Q: 2057\n", "============================================================\n", "\n", "Done. Best mAP: 75.62%\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:06<00:00, 2.72it/s]\n", "Extracting: 100%|██████████| 195/195 [02:48<00:00, 1.15it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 75.62%\n", " Rank-1 : 93.00%\n", " Rank-5 : 97.18%\n", " Rank-10: 98.01%\n", " Valid Q: 2057\n", "============================================================\n", " Params : 21.590M (21,590,400)\n", " GFLOPs : 5.56\n", " Latency: 7.56 ms/img 132.2 img/s\n", "[checkpoint] RESULTS saved to evaluation_results/all_results.json (6 runs)\n", "Saved -> /kaggle/working/personvit_finetuning/curves_partial_arcface.png\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "partial_arcface -> mAP 75.62% Rank-1 93.00% Trainable params: 768\n", "vit_small_patch16_224_TransReID 384 /kaggle/input/models/simonerimondi/personvit/pytorch/default/3/PersonViT_small_pretrained_market.pth freeze_arcface\n", "\n", "######################################################################\n", "# RUN: freeze_arcface | Freeze+Retrain x ARCFACE\n", "######################################################################\n", "using Transformer_type: vit_small_patch16_224_TransReID as a backbone\n", "using stride: [16, 16], and patch number is num_y16 * num_x8\n", "Loading pretrained model from /kaggle/input/models/simonerimondi/personvit/pytorch/default/3/PersonViT_small_pretrained_market.pth\n", "===========building transformer===========\n", "[freeze_arcface] trainable 384 / 22,025,320 (0.0%)\n", "AdamW LR=0.0003 WD=0.0001 warmup=3 ep total=20 ep\n", "\n", "============================================================\n", "FINE-TUNING: best_freeze_arcface.pth\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 1/20: 100%|██████████| 140/140 [08:43<00:00, 3.74s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 1/20 loss=41.8515 lr=1.20e-04\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 2/20: 100%|██████████| 140/140 [08:41<00:00, 3.72s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 2/20 loss=40.1751 lr=2.10e-04\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 3/20: 100%|██████████| 140/140 [08:29<00:00, 3.64s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 3/20 loss=38.5357 lr=3.00e-04\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 4/20: 100%|██████████| 140/140 [08:39<00:00, 3.71s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 4/20 loss=37.0688 lr=2.97e-04\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 5/20: 100%|██████████| 140/140 [08:27<00:00, 3.62s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 5/20 loss=35.7468 lr=2.90e-04\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:06<00:00, 2.63it/s]\n", "Extracting: 100%|██████████| 195/195 [02:40<00:00, 1.21it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 75.62%\n", " Rank-1 : 93.19%\n", " Rank-5 : 97.23%\n", " Rank-10: 98.06%\n", " Valid Q: 2057\n", "============================================================\n", " -> Best checkpoint saved (mAP 75.62%)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 6/20: 100%|██████████| 140/140 [08:24<00:00, 3.61s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 6/20 loss=34.7126 lr=2.78e-04\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 7/20: 100%|██████████| 140/140 [08:34<00:00, 3.68s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 7/20 loss=33.8407 lr=2.61e-04\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 8/20: 100%|██████████| 140/140 [08:25<00:00, 3.61s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 8/20 loss=33.0897 lr=2.40e-04\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 9/20: 100%|██████████| 140/140 [08:24<00:00, 3.60s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 9/20 loss=32.4479 lr=2.17e-04\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 10/20: 100%|██████████| 140/140 [08:29<00:00, 3.64s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 10/20 loss=31.9223 lr=1.91e-04\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:06<00:00, 2.67it/s]\n", "Extracting: 100%|██████████| 195/195 [02:40<00:00, 1.22it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 75.63%\n", " Rank-1 : 93.15%\n", " Rank-5 : 97.13%\n", " Rank-10: 98.06%\n", " Valid Q: 2057\n", "============================================================\n", " -> Best checkpoint saved (mAP 75.63%)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 11/20: 100%|██████████| 140/140 [08:27<00:00, 3.62s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 11/20 loss=31.4363 lr=1.64e-04\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 12/20: 100%|██████████| 140/140 [08:19<00:00, 3.56s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 12/20 loss=31.0148 lr=1.36e-04\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 13/20: 100%|██████████| 140/140 [08:30<00:00, 3.64s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 13/20 loss=30.6308 lr=1.09e-04\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 14/20: 100%|██████████| 140/140 [08:30<00:00, 3.64s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 14/20 loss=30.2837 lr=8.31e-05\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 15/20: 100%|██████████| 140/140 [08:22<00:00, 3.59s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 15/20 loss=29.9947 lr=5.96e-05\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:06<00:00, 2.63it/s]\n", "Extracting: 100%|██████████| 195/195 [02:40<00:00, 1.22it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 75.64%\n", " Rank-1 : 93.19%\n", " Rank-5 : 97.08%\n", " Rank-10: 98.06%\n", " Valid Q: 2057\n", "============================================================\n", " -> Best checkpoint saved (mAP 75.64%)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 16/20: 100%|██████████| 140/140 [08:31<00:00, 3.66s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 16/20 loss=29.6738 lr=3.91e-05\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 17/20: 100%|██████████| 140/140 [08:30<00:00, 3.65s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 17/20 loss=29.4090 lr=2.25e-05\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 18/20: 100%|██████████| 140/140 [08:25<00:00, 3.61s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 18/20 loss=29.1274 lr=1.01e-05\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 19/20: 100%|██████████| 140/140 [08:29<00:00, 3.64s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 19/20 loss=28.8841 lr=2.55e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 20/20: 100%|██████████| 140/140 [08:30<00:00, 3.65s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 20/20 loss=28.6670 lr=0.00e+00\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:06<00:00, 2.66it/s]\n", "Extracting: 100%|██████████| 195/195 [02:39<00:00, 1.22it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 75.64%\n", " Rank-1 : 93.15%\n", " Rank-5 : 97.13%\n", " Rank-10: 98.06%\n", " Valid Q: 2057\n", "============================================================\n", "\n", "Done. Best mAP: 75.64%\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:06<00:00, 2.73it/s]\n", "Extracting: 100%|██████████| 195/195 [02:39<00:00, 1.22it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 75.64%\n", " Rank-1 : 93.19%\n", " Rank-5 : 97.08%\n", " Rank-10: 98.06%\n", " Valid Q: 2057\n", "============================================================\n", " Params : 21.590M (21,590,400)\n", " GFLOPs : 5.56\n", " Latency: 7.32 ms/img 136.6 img/s\n", "[checkpoint] RESULTS saved to evaluation_results/all_results.json (7 runs)\n", "Saved -> /kaggle/working/personvit_finetuning/curves_freeze_arcface.png\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "freeze_arcface -> mAP 75.64% Rank-1 93.19% Trainable params: 384\n" ] } ], "source": [ "for strategy in ['full', 'partial', 'freeze']:\n", " run_finetuning(strategy, 'arcface')" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2026-03-07T15:58:01.273115Z", "iopub.status.busy": "2026-03-07T15:58:01.272846Z", "iopub.status.idle": "2026-03-07T15:58:02.105426Z", "shell.execute_reply": "2026-03-07T15:58:02.104458Z", "shell.execute_reply.started": "2026-03-07T15:58:01.273096Z" }, "id": "w2afWtXJLeEo", "outputId": "b9f23661-1810-44be-852e-5bd4dc27eb5d", "trusted": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Phase 1 winner: strategy=\"full\" (mAP 78.10%)\n" ] }, { "data": { "image/png": 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", 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", 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Phase 1 comparison plots\n", "phase1_results = {k: RESULTS[k] for k in ['full_arcface','partial_arcface','freeze_arcface']\n", " if k in RESULTS}\n", "best_strategy = max(phase1_results, key=lambda k: phase1_results[k]['mAP']).split('_')[0]\n", "print(f'Phase 1 winner: strategy=\"{best_strategy}\" '\n", " f'(mAP {RESULTS[best_strategy+\"_arcface\"][\"mAP\"]*100:.2f}%)')\n", "\n", "plot_comparison(phase1_results, title='Phase 1 - Strategy Comparison',\n", " save_dir=str(cfg.plots_dir))" ] }, { "cell_type": "markdown", "metadata": { "id": "phase2_title" }, "source": [ "### Phase 2 - Metric Learning Loss Comparison\n", "\n", "Phase 2 investigates the effect of the metric learning loss function on Re-ID performance.\n", "The fine-tuning strategy is fixed to the winner of Phase 1 (`best_strategy`), so that any\n", "difference in results is attributable exclusively to the loss. Three losses are compared:\n", "\n", "| Loss Type | Family | Miner | Key property |\n", "|-------------------|--------------|---------------|--------------|\n", "| `TripletMarginLoss` | Pair-based | `BatchHardMiner` | Optimises relative distances between anchor, positive, and hardest negative in the batch |\n", "| `ArcFaceLoss` | Proxy-based | None | Maintains a learnable class weight matrix; maximises angular margin between identity embeddings in a closed-set formulation |\n", "| `NTXentLoss` | Contrastive | None (implicit) | Maximises cosine similarity between positive pairs via a softmax over all in-batch negatives, scaled by temperature `cfg.ntxent_temperature`; derived from SimCLR |\n", "\n", "Note that the `arcface` run is not repeated here: it was already executed in Phase 1 and\n", "its result is retrieved directly from `RESULTS`. Only `triplet` and `ntxent` are new runs,\n", "keeping the total number of training runs minimal.\n", "\n", "At the end of the phase, the loss with the highest mAP is selected as `best_loss` and\n", "carried forward to Phase 3, where the winning configuration (strategy + loss) is scaled up\n", "to ViT-Base for the multi-scale comparison.\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2026-03-05T10:50:04.329572Z", "iopub.status.busy": "2026-03-05T10:50:04.328969Z", "iopub.status.idle": "2026-03-05T16:07:42.467924Z", "shell.execute_reply": "2026-03-05T16:07:42.467204Z", "shell.execute_reply.started": "2026-03-05T10:50:04.329544Z" }, "id": "cvl0SWKeNYxq", "outputId": "b6274aae-9fa4-495e-8ab5-036891b2974c", "trusted": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "vit_small_patch16_224_TransReID 384 /kaggle/input/models/simonerimondi/personvit/pytorch/default/3/PersonViT_small_pretrained_market.pth full_triplet\n", "\n", "######################################################################\n", "# RUN: full_triplet | Full FT x TRIPLET\n", "######################################################################\n", "using Transformer_type: vit_small_patch16_224_TransReID as a backbone\n", "using stride: [16, 16], and patch number is num_y16 * num_x8\n", "Loading pretrained model from /kaggle/input/models/simonerimondi/personvit/pytorch/default/3/PersonViT_small_pretrained_market.pth\n", "===========building transformer===========\n", "[full_triplet] trainable 22,025,320 / 22,025,320 (100.0%)\n", "AdamW LR=1e-05 WD=0.0001 warmup=3 ep total=20 ep\n", "\n", "============================================================\n", "FINE-TUNING: best_full_triplet.pth\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 1/20: 100%|██████████| 140/140 [07:04<00:00, 3.03s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 1/20 loss=0.2690 lr=3.40e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 2/20: 100%|██████████| 140/140 [07:30<00:00, 3.22s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 2/20 loss=0.2186 lr=6.70e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 3/20: 100%|██████████| 140/140 [07:11<00:00, 3.08s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 3/20 loss=0.1981 lr=1.00e-05\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 4/20: 100%|██████████| 140/140 [07:07<00:00, 3.05s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 4/20 loss=0.1915 lr=9.91e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 5/20: 100%|██████████| 140/140 [07:12<00:00, 3.09s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 5/20 loss=0.1897 lr=9.66e-06\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:05<00:00, 2.97it/s]\n", "Extracting: 100%|██████████| 195/195 [02:17<00:00, 1.41it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 80.52%\n", " Rank-1 : 93.53%\n", " Rank-5 : 97.67%\n", " Rank-10: 98.06%\n", " Valid Q: 2057\n", "============================================================\n", " -> Best checkpoint saved (mAP 80.52%)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 6/20: 100%|██████████| 140/140 [07:27<00:00, 3.20s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 6/20 loss=0.1870 lr=9.25e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 7/20: 100%|██████████| 140/140 [07:20<00:00, 3.15s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 7/20 loss=0.1837 lr=8.70e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 8/20: 100%|██████████| 140/140 [07:19<00:00, 3.14s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 8/20 loss=0.1775 lr=8.01e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 9/20: 100%|██████████| 140/140 [07:16<00:00, 3.11s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 9/20 loss=0.1746 lr=7.23e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 10/20: 100%|██████████| 140/140 [07:13<00:00, 3.10s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 10/20 loss=0.1696 lr=6.37e-06\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 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13/20 loss=0.1632 lr=3.63e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 14/20: 100%|██████████| 140/140 [07:12<00:00, 3.09s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 14/20 loss=0.1651 lr=2.77e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 15/20: 100%|██████████| 140/140 [07:18<00:00, 3.13s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 15/20 loss=0.1540 lr=1.99e-06\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:05<00:00, 3.02it/s]\n", "Extracting: 100%|██████████| 195/195 [02:18<00:00, 1.41it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 81.31%\n", " Rank-1 : 93.68%\n", " Rank-5 : 97.76%\n", " Rank-10: 98.35%\n", " Valid Q: 2057\n", "============================================================\n", " -> Best checkpoint saved (mAP 81.31%)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 16/20: 100%|██████████| 140/140 [07:13<00:00, 3.10s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 16/20 loss=0.1629 lr=1.30e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 17/20: 100%|██████████| 140/140 [07:06<00:00, 3.04s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 17/20 loss=0.1524 lr=7.49e-07\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 18/20: 100%|██████████| 140/140 [07:14<00:00, 3.10s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 18/20 loss=0.1612 lr=3.38e-07\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 19/20: 100%|██████████| 140/140 [07:17<00:00, 3.13s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 19/20 loss=0.1590 lr=8.51e-08\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 20/20: 100%|██████████| 140/140 [07:14<00:00, 3.10s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 20/20 loss=0.1589 lr=0.00e+00\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:05<00:00, 2.97it/s]\n", "Extracting: 100%|██████████| 195/195 [02:17<00:00, 1.42it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 81.50%\n", " Rank-1 : 93.44%\n", " Rank-5 : 97.76%\n", " Rank-10: 98.30%\n", " Valid Q: 2057\n", "============================================================\n", " -> Best checkpoint saved (mAP 81.50%)\n", "\n", "Done. Best mAP: 81.50%\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:05<00:00, 3.13it/s]\n", "Extracting: 100%|██████████| 195/195 [02:17<00:00, 1.42it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 81.50%\n", " Rank-1 : 93.44%\n", " Rank-5 : 97.76%\n", " Rank-10: 98.30%\n", " Valid Q: 2057\n", "============================================================\n", " Params : 21.590M (21,590,400)\n", " GFLOPs : 5.56\n", " Latency: 7.02 ms/img 142.4 img/s\n", "[checkpoint] RESULTS saved to evaluation_results/all_results.json (8 runs)\n", "Saved -> /kaggle/working/personvit_finetuning/curves_full_triplet.png\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "full_triplet -> mAP 81.50% Rank-1 93.44% Trainable params: 22,025,320" ] }, { "name": "stdout", "output_type": "stream", "text": [ "vit_small_patch16_224_TransReID 384 /kaggle/input/models/simonerimondi/personvit/pytorch/default/3/PersonViT_small_pretrained_market.pth full_ntxent\n", "\n", "######################################################################\n", "# RUN: full_ntxent | Full FT x NTXENT\n", "######################################################################\n", "using Transformer_type: vit_small_patch16_224_TransReID as a backbone\n", "using stride: [16, 16], and patch number is num_y16 * num_x8\n", "Loading pretrained model from /kaggle/input/models/simonerimondi/personvit/pytorch/default/3/PersonViT_small_pretrained_market.pth\n", "===========building transformer===========\n", "[full_ntxent] trainable 22,025,320 / 22,025,320 (100.0%)\n", "AdamW LR=1e-05 WD=0.0001 warmup=3 ep total=20 ep\n", "\n", "============================================================\n", "FINE-TUNING: best_full_ntxent.pth\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 1/20: 100%|██████████| 140/140 [08:07<00:00, 3.48s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 1/20 loss=1.2206 lr=3.40e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 2/20: 100%|██████████| 140/140 [08:28<00:00, 3.64s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 2/20 loss=0.7570 lr=6.70e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 3/20: 100%|██████████| 140/140 [08:01<00:00, 3.44s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 3/20 loss=0.5634 lr=1.00e-05\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 4/20: 100%|██████████| 140/140 [08:07<00:00, 3.48s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 4/20 loss=0.4805 lr=9.91e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 5/20: 100%|██████████| 140/140 [08:08<00:00, 3.49s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 5/20 loss=0.4345 lr=9.66e-06\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:06<00:00, 2.53it/s]\n", "Extracting: 100%|██████████| 195/195 [02:32<00:00, 1.28it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 80.59%\n", " Rank-1 : 93.34%\n", " Rank-5 : 97.47%\n", " Rank-10: 98.10%\n", " Valid Q: 2057\n", "============================================================\n", " -> Best checkpoint saved (mAP 80.59%)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 6/20: 100%|██████████| 140/140 [08:07<00:00, 3.48s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 6/20 loss=0.3940 lr=9.25e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 7/20: 100%|██████████| 140/140 [08:02<00:00, 3.44s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 7/20 loss=0.3789 lr=8.70e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 8/20: 100%|██████████| 140/140 [07:57<00:00, 3.41s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 8/20 loss=0.3325 lr=8.01e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 9/20: 100%|██████████| 140/140 [08:05<00:00, 3.47s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 9/20 loss=0.3042 lr=7.23e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 10/20: 100%|██████████| 140/140 [08:03<00:00, 3.45s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 10/20 loss=0.3054 lr=6.37e-06\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:06<00:00, 2.52it/s]\n", "Extracting: 100%|██████████| 195/195 [02:34<00:00, 1.26it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 80.25%\n", " Rank-1 : 93.53%\n", " Rank-5 : 97.62%\n", " Rank-10: 98.20%\n", " Valid Q: 2057\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 11/20: 100%|██████████| 140/140 [08:05<00:00, 3.47s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 11/20 loss=0.2873 lr=5.46e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 12/20: 100%|██████████| 140/140 [08:10<00:00, 3.50s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 12/20 loss=0.2712 lr=4.54e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 13/20: 100%|██████████| 140/140 [08:09<00:00, 3.50s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 13/20 loss=0.2560 lr=3.63e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 14/20: 100%|██████████| 140/140 [08:04<00:00, 3.46s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 14/20 loss=0.2605 lr=2.77e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 15/20: 100%|██████████| 140/140 [08:09<00:00, 3.49s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 15/20 loss=0.2427 lr=1.99e-06\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:06<00:00, 2.53it/s]\n", "Extracting: 100%|██████████| 195/195 [02:38<00:00, 1.23it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 80.66%\n", " Rank-1 : 93.29%\n", " Rank-5 : 97.47%\n", " Rank-10: 98.20%\n", " Valid Q: 2057\n", "============================================================\n", " -> Best checkpoint saved (mAP 80.66%)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 16/20: 100%|██████████| 140/140 [08:00<00:00, 3.44s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 16/20 loss=0.2542 lr=1.30e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 17/20: 100%|██████████| 140/140 [08:08<00:00, 3.49s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 17/20 loss=0.2495 lr=7.49e-07\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 18/20: 100%|██████████| 140/140 [08:07<00:00, 3.48s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 18/20 loss=0.2335 lr=3.38e-07\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 19/20: 100%|██████████| 140/140 [08:01<00:00, 3.44s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 19/20 loss=0.2347 lr=8.51e-08\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 20/20: 100%|██████████| 140/140 [08:06<00:00, 3.47s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 20/20 loss=0.2361 lr=0.00e+00\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:06<00:00, 2.53it/s]\n", "Extracting: 100%|██████████| 195/195 [02:36<00:00, 1.24it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 80.77%\n", " Rank-1 : 93.15%\n", " Rank-5 : 97.28%\n", " Rank-10: 98.15%\n", " Valid Q: 2057\n", "============================================================\n", " -> Best checkpoint saved (mAP 80.77%)\n", "\n", "Done. Best mAP: 80.77%\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:06<00:00, 2.80it/s]\n", "Extracting: 100%|██████████| 195/195 [02:36<00:00, 1.25it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 80.77%\n", " Rank-1 : 93.15%\n", " Rank-5 : 97.28%\n", " Rank-10: 98.15%\n", " Valid Q: 2057\n", "============================================================\n", " Params : 21.590M (21,590,400)\n", " GFLOPs : 5.56\n", " Latency: 7.47 ms/img 133.9 img/s\n", "[checkpoint] RESULTS saved to evaluation_results/all_results.json (1 runs)\n", "Saved -> /kaggle/working/personvit_finetuning/curves_full_ntxent.png\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "full_ntxent -> mAP 80.77% Rank-1 93.15% Trainable params: 22,025,320\n" ] } ], "source": [ "for loss_type in ['triplet', 'ntxent']:\n", " run_finetuning(best_strategy, loss_type)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2026-03-07T15:58:18.372360Z", "iopub.status.busy": "2026-03-07T15:58:18.372115Z", "iopub.status.idle": "2026-03-07T15:58:19.233894Z", "shell.execute_reply": "2026-03-07T15:58:19.232583Z", "shell.execute_reply.started": "2026-03-07T15:58:18.372342Z" }, "id": "rP8lzFUKLeEp", "outputId": "ac2ba345-c710-4185-e386-b7d87d4f3b3e", "trusted": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Phase 2 winner: loss=\"triplet\" (mAP 81.50%)\n" ] }, { "data": { "image/png": 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", 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", 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Phase 1 comparison plots\n", "phase2_keys = [f'{best_strategy}_{l}' for l in ['triplet','arcface','ntxent']]\n", "phase2_results = {k: RESULTS[k] for k in phase2_keys if k in RESULTS}\n", "best_loss = max(phase2_results, key=lambda k: phase2_results[k]['mAP']).split('_',1)[1]\n", "print(f'Phase 2 winner: loss=\"{best_loss}\" '\n", " f'(mAP {RESULTS[best_strategy+\"_\"+best_loss][\"mAP\"]*100:.2f}%)')\n", "\n", "plot_comparison(phase2_results, title='Phase 2 - Loss Comparison',\n", " save_dir=str(cfg.plots_dir))" ] }, { "cell_type": "markdown", "metadata": { "id": "phase3_title" }, "source": [ "### Phase 3 - ViT-Small Fine-Tuning\n", "\n", "Phase 3 scales up the winning configuration identified in Phases 1 and 2 to\n", "**ViT-Base** (embedding dimension 768, 12 attention heads, 86 M parameters), using the corresponding Market-1501 pretrained checkpoint of the larger architecture. The fine-tuning strategy (`best_strategy`) and loss function (`best_loss`) are held fixed at the values selected during the ViT-Small ablation, so the only variable introduced in this phase is the model scale. The run is registered under the key `vitbase_{best_strategy}_{best_loss}` via `run_key_override` to distinguish it from the ViT-Small runs in `RESULTS` while preserving the same naming convention.\n", "\n", "This *scale-up last* design is the direct consequence of the small-first experimental choice described in the Introduction: running the full ablation grid on the cheaper ViT-Small first reduces total GPU consumption significantly, and only once the optimal configuration is known does the study commit to a single, definitive ViT-Base training run. The primary objective of Phase 3 is therefore not to repeat the ablation at larger scale, but to quantify whether the mAP gain from scaling up justifies the increase in computational cost. The comparison covers four dimensions: retrieval performance (mAP, Rank-1, Rank-5, Rank-10), parameter count, computational cost (GFLOPs), and inference latency, all of which are aggregated and visualised by `plot_best_small_vs_base` in the Final Comparison section.\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2026-03-05T16:07:43.459421Z", "iopub.status.busy": "2026-03-05T16:07:43.459139Z", "iopub.status.idle": "2026-03-05T18:54:32.435759Z", "shell.execute_reply": "2026-03-05T18:54:32.434981Z", "shell.execute_reply.started": "2026-03-05T16:07:43.459395Z" }, "id": "phase3_run_cell", "outputId": "2c1b3acb-933a-4fab-baa9-1e66fc91f009", "trusted": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "vit_base_patch16_224_TransReID 768 /kaggle/input/models/simonerimondi/personvit/pytorch/default/3/PersonViT_base_pretrained_market.pth.pth vit_base_full_triplet\n", "\n", "######################################################################\n", "# RUN: vit_base_full_triplet | Full FT x TRIPLET\n", "######################################################################\n", "using Transformer_type: vit_base_patch16_224_TransReID as a backbone\n", "using stride: [16, 16], and patch number is num_y16 * num_x8\n", "Loading pretrained model from /kaggle/input/models/simonerimondi/personvit/pytorch/default/3/PersonViT_base_pretrained_market.pth.pth\n", "===========building transformer===========\n", "[vit_base_full_triplet] trainable 86,516,968 / 86,516,968 (100.0%)\n", "AdamW LR=1e-05 WD=0.0001 warmup=3 ep total=20 ep\n", "\n", "============================================================\n", "FINE-TUNING: best_vit_base_full_triplet.pth\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 1/20: 100%|██████████| 140/140 [07:15<00:00, 3.11s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 1/20 loss=0.2511 lr=3.40e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 2/20: 100%|██████████| 140/140 [07:15<00:00, 3.11s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 2/20 loss=0.1969 lr=6.70e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 3/20: 100%|██████████| 140/140 [07:14<00:00, 3.10s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 3/20 loss=0.1814 lr=1.00e-05\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 4/20: 100%|██████████| 140/140 [07:14<00:00, 3.10s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 4/20 loss=0.1761 lr=9.91e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 5/20: 100%|██████████| 140/140 [07:14<00:00, 3.10s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 5/20 loss=0.1657 lr=9.66e-06\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:18<00:00, 1.06s/it]\n", "Extracting: 100%|██████████| 195/195 [03:19<00:00, 1.02s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 84.33%\n", " Rank-1 : 94.41%\n", " Rank-5 : 98.44%\n", " Rank-10: 98.88%\n", " Valid Q: 2057\n", "============================================================\n", " -> Best checkpoint saved (mAP 84.33%)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 6/20: 100%|██████████| 140/140 [07:14<00:00, 3.10s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 6/20 loss=0.1725 lr=9.25e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 7/20: 100%|██████████| 140/140 [07:06<00:00, 3.05s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 7/20 loss=0.1557 lr=8.70e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 8/20: 100%|██████████| 140/140 [07:19<00:00, 3.14s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 8/20 loss=0.1627 lr=8.01e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 9/20: 100%|██████████| 140/140 [07:27<00:00, 3.19s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 9/20 loss=0.1530 lr=7.23e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 10/20: 100%|██████████| 140/140 [07:19<00:00, 3.14s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 10/20 loss=0.1485 lr=6.37e-06\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:18<00:00, 1.07s/it]\n", "Extracting: 100%|██████████| 195/195 [03:19<00:00, 1.02s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 84.95%\n", " Rank-1 : 94.75%\n", " Rank-5 : 98.54%\n", " Rank-10: 98.93%\n", " Valid Q: 2057\n", "============================================================\n", " -> Best checkpoint saved (mAP 84.95%)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 11/20: 100%|██████████| 140/140 [07:26<00:00, 3.19s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 11/20 loss=0.1481 lr=5.46e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 12/20: 100%|██████████| 140/140 [07:24<00:00, 3.18s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 12/20 loss=0.1463 lr=4.54e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 13/20: 100%|██████████| 140/140 [07:26<00:00, 3.19s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 13/20 loss=0.1448 lr=3.63e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 14/20: 100%|██████████| 140/140 [07:23<00:00, 3.17s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 14/20 loss=0.1407 lr=2.77e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 15/20: 100%|██████████| 140/140 [07:21<00:00, 3.15s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 15/20 loss=0.1472 lr=1.99e-06\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:18<00:00, 1.07s/it]\n", "Extracting: 100%|██████████| 195/195 [03:18<00:00, 1.02s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 85.65%\n", " Rank-1 : 94.51%\n", " Rank-5 : 98.49%\n", " Rank-10: 99.12%\n", " Valid Q: 2057\n", "============================================================\n", " -> Best checkpoint saved (mAP 85.65%)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 16/20: 100%|██████████| 140/140 [07:22<00:00, 3.16s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 16/20 loss=0.1382 lr=1.30e-06\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 17/20: 100%|██████████| 140/140 [07:23<00:00, 3.17s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 17/20 loss=0.1420 lr=7.49e-07\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 18/20: 100%|██████████| 140/140 [07:24<00:00, 3.17s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 18/20 loss=0.1378 lr=3.38e-07\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 19/20: 100%|██████████| 140/140 [07:21<00:00, 3.16s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 19/20 loss=0.1263 lr=8.51e-08\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Ep 20/20: 100%|██████████| 140/140 [07:23<00:00, 3.17s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Ep 20/20 loss=0.1310 lr=0.00e+00\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:18<00:00, 1.07s/it]\n", "Extracting: 100%|██████████| 195/195 [03:19<00:00, 1.02s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 85.60%\n", " Rank-1 : 94.60%\n", " Rank-5 : 98.44%\n", " Rank-10: 99.03%\n", " Valid Q: 2057\n", "============================================================\n", "\n", "Done. Best mAP: 85.65%\n", "\n", "============================================================\n", "EVALUATION\n", "============================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Extracting: 100%|██████████| 17/17 [00:16<00:00, 1.01it/s]\n", "Extracting: 100%|██████████| 195/195 [03:20<00:00, 1.03s/it]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " mAP : 85.65%\n", " Rank-1 : 94.51%\n", " Rank-5 : 98.49%\n", " Rank-10: 99.12%\n", " Valid Q: 2057\n", "============================================================\n", " Params : 85.648M (85,648,128)\n", " GFLOPs : 22.08\n", " Latency: 11.80 ms/img 84.8 img/s\n", "[checkpoint] RESULTS saved to evaluation_results/all_results.json (10 runs)\n", "Saved -> /kaggle/working/personvit_finetuning/curves_vit_base_full_triplet.png\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "vit_base_full_triplet -> mAP 85.65% Rank-1 94.51% Trainable params: 86,516,968\n" ] } ], "source": [ "run_finetuning(\n", " strategy_key = best_strategy,\n", " loss_type = best_loss,\n", " transformer_type = cfg.vit_base_transformer_type,\n", " embedding_dim = cfg.vit_base_embedding_dim,\n", " pretrain_path = cfg.pretrained_models[cfg.best_pretrain_key]['path'],\n", " run_key_override = f'vit_base_{best_strategy}_{best_loss}',\n", ")" ] }, { "cell_type": "markdown", "metadata": { "id": "final_title" }, "source": [ "## 6. Final Comparison\n", "\n", "This section aggregates the results of all runs executed throughout the notebook into a single unified view, covering pretrained baselines (Phase 0), fine-tuning strategy runs (Phase 1), loss comparison runs (Phase 2), and the ViT-Base scale-up run (Phase 3).\n", "\n", "The aggregation logic selects keys from `RESULTS` in two groups:\n", "\n", "- **Pretrained baselines**: all keys matching `cfg.pretrained_models_small`\n", " (i.e. `duke`, `market1501`, `msmt`, `occduke`), which represent zero-shot ViT-Small performance on PRW without any fine-tuning.\n", "- **Fine-tuned runs**: all keys matching the prefixes `full_*`, `partial_*`, `freeze_*`, and `vitbase_*`, covering both the ViT-Small ablation runs and the final ViT-Base scale-up.\n", "\n", "`plot_comparison` is called on the full combined dictionary to produce a grouped bar chart, a strategy-vs-loss heatmap, and a radar chart spanning all models simultaneously. This global view makes it immediately apparent how much fine-tuning improves over the pretrained baselines and how the ViT-Base run positions itself relative to the ViT-Small ablation grid.\n", "\n", "The full results table is then serialised to `allresults.csv` in `cfg.results_dir`. Each row corresponds to one run and includes the following columns: `mAP`, `Rank-1`, `Rank-5`, `Rank-10`, `Total Params (M)`, `Trainable Params`, `GFLOPs`, `Latency (ms)`, and `Throughput (img/s)`. The table is sorted by mAP in descending order to make the best-performing configuration immediately visible at the top." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2026-03-07T16:20:35.474033Z", "iopub.status.busy": "2026-03-07T16:20:35.473689Z", "iopub.status.idle": "2026-03-07T16:20:36.650085Z", "shell.execute_reply": "2026-03-07T16:20:36.648882Z", "shell.execute_reply.started": "2026-03-07T16:20:35.474005Z" }, "id": "x4BMZED-LeEt", "outputId": "5531b14c-b9df-4b58-d845-f3a7ae5a26a5", "trusted": true }, "outputs": [ { "data": { "image/png": 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", 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", 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", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "==============================================================================================================\n", "COMPLETE RESULTS (sorted by mAP)\n", "==============================================================================================================\n", " Strategy Loss mAP (%) Rank-1 (%) Rank-5 (%) Rank-10 (%) Total Params (M) Trainable Params GFLOPs Latency (ms) Throughput (i/s)\n", "Run \n", "vit_base_full_triplet Full FT triplet 85.65 94.51 98.49 99.12 86.5 86516968 22.08 11.80 84.8\n", "full_triplet Full FT triplet 81.50 93.44 97.76 98.30 22.0 22025320 5.56 7.02 142.4\n", "full_ntxent Full FT ntxent 80.77 93.15 97.28 98.15 22.0 22025320 5.56 7.47 133.9\n", "full_arcface Full FT arcface 78.10 93.39 97.72 98.06 22.0 22025320 5.56 7.34 136.2\n", "freeze_arcface Freeze+Retrain arcface 75.64 93.19 97.08 98.06 22.0 384 5.56 7.32 136.6\n", "partial_arcface Partial FT arcface 75.62 93.00 97.18 98.01 22.0 768 5.56 7.56 132.2\n", "market1501 Pretrained -- 75.26 92.90 96.94 97.57 21.6 N/A 5.56 7.62 131.3\n", "msmt Pretrained -- 55.51 89.89 95.43 96.55 21.6 N/A 5.56 7.84 127.5\n", "occ_duke Pretrained -- 53.29 88.96 94.56 95.77 21.6 N/A 5.56 7.78 128.5\n", "duke Pretrained -- 51.58 89.16 94.46 95.62 21.6 N/A 5.56 7.92 126.3\n", "\n", "CSV saved to evaluation_results/all_results.csv\n" ] } ], "source": [ "ft_keys = [k for k in RESULTS if any(k.startswith(s) for s in ('full_','partial_','freeze_','vit_base_'))]\n", "all_keys = list(cfg.pretrained_models.keys()) + ft_keys\n", "all_res = {k: RESULTS[k] for k in all_keys if k in RESULTS}\n", "\n", "plot_comparison(all_res, title='All Models', save_dir=str(cfg.plots_dir))\n", "\n", "rows = []\n", "for rk, v in RESULTS.items():\n", " rows.append({\n", " 'Run': rk,\n", " 'Strategy': v.get('strategy', '?'),\n", " 'Loss': v.get('loss', '--'),\n", " 'mAP (%)': round(v['mAP'] *100, 2),\n", " 'Rank-1 (%)': round(v['rank1']*100, 2),\n", " 'Rank-5 (%)': round(v['rank5']*100, 2),\n", " 'Rank-10 (%)': round(v['rank10']*100, 2),\n", " 'Total Params (M)': round(v.get('total_params', 0)/1e6, 1),\n", " 'Trainable Params': v.get('trainable_params', 'N/A'), # only for FT runs\n", " 'GFLOPs': round(v.get('flops_giga', 0), 2),\n", " 'Latency (ms)': round(v.get('inference_ms', 0), 2),\n", " 'Throughput (i/s)': round(v.get('throughput', 0), 1),\n", " })\n", "df = (pd.DataFrame(rows)\n", " .set_index('Run')\n", " .sort_values('mAP (%)', ascending=False))\n", "print('\\n' + '='*110)\n", "print('COMPLETE RESULTS (sorted by mAP)')\n", "print('='*110)\n", "print(df.to_string())\n", "df.to_csv(cfg.results_dir / 'all_results.csv')\n", "print(f'\\nCSV saved to {cfg.results_dir / \"all_results.csv\"}')" ] }, { "cell_type": "markdown", "metadata": { "id": "22akKEWdbBiK" }, "source": [ "### ViT-Small vs ViT-Base: Scale-Up Analysis\n", "\n", "This cell calls `plot_best_small_vs_base(RESULTS)`, the dedicated comparison function that materialises the core result of the small-first experimental design: a direct, quantitative confrontation between the best ViT-Small run and the ViT-Base scale-up.\n", "\n", "The function automatically identifies the two candidates from `RESULTS`:\n", "- **Best ViT-Small**: the run with the highest mAP among all keys with prefix `full_*`, `partial_*`, or `freeze_*`.\n", "- **Best ViT-Base**: the run with the highest mAP among all keys with prefix `vitbase_*`.\n", "\n", "The output is a two-panel figure saved as `best_small_vs_base.png`:\n", "\n", "1. **Grouped bar chart**: compares seven dimensions side by side for both models: `mAP`, `Rank-1`, `Rank-5`, `Rank-10` (higher is better), `Latency (ms)`, `GFLOPs`, and `Params (M)` (lower is better). Each bar is annotated with its numeric value.\n", "\n", "2. **Delta table**: for every metric reports the ViT-Small value, the ViT-Base value, the signed delta (Base minus Small), and a *Best* column colour-coded in blue for Small and orange for Base, making the winner immediately readable at a glance. For accuracy metrics the winner is the model with the higher value; for efficiency metrics (latency, GFLOPs, parameters) the winner is the model with the lower value.\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2026-03-07T16:37:56.107841Z", "iopub.status.busy": "2026-03-07T16:37:56.107502Z", "iopub.status.idle": "2026-03-07T16:37:56.457859Z", "shell.execute_reply": "2026-03-07T16:37:56.456954Z", "shell.execute_reply.started": "2026-03-07T16:37:56.107820Z" }, "id": "pOEsvif8LeEu", "outputId": "e183fa33-f3a6-422c-933a-7889af87a980", "trusted": true }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_best_small_vs_base(RESULTS)" ] }, { "cell_type": "markdown", "metadata": { "id": "cCsjxwuHbumr" }, "source": [ "## 7. Conclusions\n", "\n", "### Summary of Results\n", "\n", "The ablation study yields ten configurations spanning zero-shot evaluation of four source domains, three fine-tuning strategies, three loss functions on ViT-Small, and a scale-up run on ViT-Base. The results are consistent with established findings in metric learning for person re-identification, and each phase produces outcomes that are largely expected from a methodological standpoint, with a few noteworthy observations regarding the relative contribution of loss function choice and the cost-benefit profile of the scale-up.\n", "\n", "### Effect of Source Domain (Phase 0)\n", "\n", "The four pretrained ViT-Small baselines evaluated in zero-shot on PRW span a range of 24.7 pp in mAP (51.58% for Duke to 75.26% for Market-1501), revealing a strong sensitivity to source-domain choice even before any fine-tuning. The ranking Market-1501 > MSMT17 > Occluded-Duke > Duke is consistent with the degree of visual and environmental overlap with PRW: Market-1501 and PRW are both multi-camera outdoor campus datasets with similar camera heights, pedestrian densities, and lighting conditions, which explains why the Market-1501 checkpoint transfers substantially better than the others. The Duke and Occluded-Duke checkpoints perform significantly worse (51.58% and 53.29%), likely because the DukeMTMC environment differs in camera placement and average occlusion level from the PRW test distribution. MSMT17 (55.51%) occupies an intermediate position: its greater domain diversity provides more general features than Duke but does not match the direct domain proximity of Market-1501.\n", "\n", "The gap between the best and worst pretrained checkpoints (+23.7 pp mAP) is considerably larger than the gap introduced by any subsequent fine-tuning decision, which underscores the dominant role of source-domain selection in transfer learning for Re-ID. Market-1501 is selected as `best_pretrain_key` and used as the initialisation for all fine-tuning runs in Phases 1 and 2.\n", "\n", "### Effect of Fine-Tuning Strategy (Phase 1)\n", "\n", "Phase 1 compares three fine-tuning strategies applied to the Market-1501 ViT-Small checkpoint with ArcFace loss fixed. Full FT (`full_arcface`, mAP = 78.10%, Rank-1 = 93.39%) outperforms both Partial FT (`partial_arcface`, mAP = 75.62%, Rank-1 = 93.00%) and Freeze+Retrain (`freeze_arcface`, mAP = 75.64%, Rank-1 = 93.19%), with differences of +2.48 pp and +2.46 pp in mAP respectively. The Rank-1 differences are smaller (+0.39 pp and +0.20 pp), suggesting that the three strategies converge on similar top-1 retrieval accuracy but diverge more substantially on the quality of the full ranked list, which mAP is more sensitive to.\n", "\n", "A notable observation is that Freeze+Retrain slightly outperforms Partial FT in mAP (75.64% vs. 75.62%) despite having 384 trainable parameters compared to 768. The margin is well within expected noise for a 20-epoch run, and no causal interpretation should be drawn from it. What is meaningful is that both head-only strategies plateau near the zero-shot Market-1501 baseline (75.26%), implying that the backbone features alone, without any end-to-end adaptation, are sufficient to approximately recover zero-shot performance but insufficient to improve substantially beyond it. Full FT, which updates all 22 M parameters at the lower learning rate of 1e-5 to mitigate catastrophic forgetting, is the only strategy that consistently exceeds the zero-shot baseline by a meaningful margin (+2.84 pp mAP). Full FT is selected as `best_strategy`.\n", "\n", "### Effect of Loss Function (Phase 2)\n", "\n", "Phase 2 compares three metric learning objectives under the Full FT strategy. TripletMarginLoss with BatchHardMiner achieves the best mAP (81.50%, Rank-1 = 93.44%), followed by NTXentLoss (80.77%, Rank-1 = 93.15%) and ArcFaceLoss (78.10%, Rank-1 = 93.39%). The ordering is consistent across all four retrieval metrics.\n", "\n", "The +3.40 pp advantage of TripletMarginLoss over ArcFaceLoss is the largest gain observed within Phase 2 and deserves careful interpretation. ArcFaceLoss operates in a closed-set regime: it maintains a learnable weight matrix over the 483 training identities and maximises angular margins between classes. At test time, however, PRW Re-ID is an open-set retrieval problem where the query identities are entirely disjoint from the training set. This mismatch between the closed-set training objective and the open-set evaluation protocol penalises ArcFace: the learnable class weights introduce a source-domain bias that does not generalise to unseen identities. TripletMarginLoss, by contrast, directly optimises relative distances in the embedding space without reference to a fixed class vocabulary, making it structurally better suited to the open-set deployment regime. NTXentLoss occupies an intermediate position: its implicit in-batch negative sampling approximates the triplet objective but applies a uniform temperature-scaled softmax over all negatives regardless of their hardness, which is less efficient than the hard-negative mining of BatchHardMiner at the batch sizes used here (128 crops). TripletMarginLoss with BatchHardMiner is selected as `best_loss`.\n", "\n", "### Scale-Up: ViT-Base (Phase 3)\n", "\n", "Scaling from ViT-Small to ViT-Base with the winning configuration (Full FT, Triplet) produces a consistent improvement across all retrieval metrics: mAP rises from 81.50% to 85.65% (+4.15 pp), Rank-1 from 93.44% to 94.51% (+1.07 pp), Rank-5 from 97.76% to 98.49% (+0.73 pp), and Rank-10 from 98.30% to 99.12% (+0.82 pp). The mAP gain is the most practically significant: it implies that ViT-Base not only retrieves the correct identity at the top of the list more often than ViT-Small, but also ranks multiple correct gallery matches higher across the full retrieval list, which is the behaviour mAP is specifically designed to capture.\n", "\n", "This improvement comes at a substantial computational cost. ViT-Base has 3.93x more parameters (86.5 M vs. 22.0 M), 3.97x higher GFLOPs (22.08 vs. 5.56), and 1.68x higher per-image latency (11.80 ms vs. 7.02 ms), corresponding to a 40.4% reduction in throughput (84.8 vs. 142.4 images/s). The latency ratio is considerably lower than the GFLOPs ratio because ViT-Base benefits disproportionately from T4 Tensor Core utilisation at larger matrix dimensions: the wider attention heads and higher embedding dimension allow better hardware occupancy, partially amortising the theoretical compute cost.\n", "\n", "### Model Selection for Person Search\n", "\n", "From the perspective of the downstream two-stage person search pipeline, the choice between ViT-Small and ViT-Base involves an explicit trade-off between Re-ID accuracy and inference throughput. ViT-Base is the preferred candidate when retrieval quality is the primary concern and the deployment hardware supports the additional compute: its mAP of 85.65% and Rank-1 of 94.51% represent the strongest result in this study. ViT-Small (Full FT, Triplet) is the viable alternative in throughput-constrained deployments, where its mAP of 81.50% and latency of 7.02 ms per crop represent a favourable operating point: the 4.15 pp mAP penalty relative to ViT-Base is offset by a 1.68x reduction in inference time, which is non-negligible when the Re-ID module must process all detected crops in real-time surveillance footage.\n", "\n", "It is also worth noting that the best ViT-Small fine-tuned run (81.50% mAP) exceeds the best pretrained baseline by +6.24 pp, confirming that target-domain fine-tuning provides a consistent and reproducible benefit independent of model scale. The small-first ablation design adopted in this notebook is therefore validated: the configuration that maximised mAP on ViT-Small (Full FT, Triplet) transferred directly to ViT-Base without any additional hyperparameter search, producing the best result in the study with a single scale-up run.\n", "\n", "### A Note on Data Leakage\n", "\n", "The retrieval performance reported in this study, in particular the mAP of 85.65% achieved by ViT-Base and the strong zero-shot baseline of 75.26% for the Market-1501 pretrained checkpoint, may raise a legitimate concern about data leakage between the pre-training source domain (Market-1501) and the evaluation target domain (PRW). The suspicion is reasonable: both datasets were collected on the campus of Tsinghua University by the same research group using the same six cameras in the summer of 2014, and the identity labels in PRW are assigned by cross-referencing subjects with Market-1501 annotations.\n", "\n", "However, both the official PRW project page and the paper (Zheng et al., CVPR 2017 and https://zheng-lab-anu.github.io/Project/project_prw.html) rule out any identity overlap explicitly. The project page states:\n", "\n", "> *\"The PRW dataset is annotated from the same video as the Market-1501 dataset [...] readers should keep in mind that the identities in PRW are not corresponded to those in Market-1501.\"*\n", "\n", "The paper (Section 3.1) further clarifies the annotation procedure:\n", "\n", "> *\"We first manually draw a bounding box for all pedestrians who appear in the frames and then assign an ID if it exists in the Market-1501 dataset.\"*\n", "\n", "Taken together, these two sources confirm that while PRW and Market-1501 share the same raw video footage and camera infrastructure, their identity sets are completely disjoint: no identity in PRW corresponds to any identity in Market-1501. The shared video source means that the same physical individuals may appear in both datasets, but they are assigned different and unrelated labels in each benchmark, making cross-dataset identity leakage structurally impossible.\n", "\n", "The elevated zero-shot performance of the Market-1501 checkpoint is therefore attributable to strong domain alignment — shared environment, camera hardware, resolution, and scene statistics — rather than to any form of identity or image-level leakage. The consistent gain from fine-tuning (+6.24 pp mAP for ViT-Small, +10.39 pp for ViT-Base over the zero-shot baseline) further confirms that PRW represents a genuinely novel distribution from the model's perspective: a checkpoint that had memorised PRW identities during pre-training would not benefit this systematically from additional target-domain adaptation.\n" ] }, { "cell_type": "markdown", "metadata": { "id": "h65nJbu8f8ah" }, "source": [ "## References\n", "\n", "[1] Hu, B., Wang, X., Liu, W. (2024). *PersonViT: Large-scale Self-supervised Vision Transformer for Person Re-Identification*. Machine Vision and Applications, 2025. DOI: [10.1007/s00138-025-01659-y](https://doi.org/10.1007/s00138-025-01659-y) — arXiv: [2408.05398](https://arxiv.org/abs/2408.05398)\n", "\n", "[2 hustvl. *PersonViT — Official GitHub Repository*. [https://github.com/hustvl/PersonViT](https://github.com/hustvl/PersonViT)\n", "\n", "[3] lakeAGI. *PersonViT Pre-trained Weights (ViT-Base and ViT-Small)*. Hugging Face Model Hub. [https://huggingface.co/lakeAGI/PersonViTReID/tree/main](https://huggingface.co/lakeAGI/PersonViTReID/tree/main)\n", "\n", "[4] Zheng, L., Zhang, H., Sun, S., Chandraker, M., Tian, Q. (2017). *Person Re-identification in the Wild*. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. arXiv: [1604.02531](https://arxiv.org/abs/1604.02531)\n" ] } ], "metadata": { "colab": { "provenance": [], "toc_visible": true }, "kaggle": { "accelerator": "none", "dataSources": [ { "databundleVersionId": 15953453, "modelId": 604726, "modelInstanceId": 592443, "sourceId": 775868, "sourceType": "modelInstanceVersion" } ], "dockerImageVersionId": 31287, "isGpuEnabled": false, "isInternetEnabled": true, "language": "python", "sourceType": "notebook" }, "kernelspec": { "display_name": "Python 3", "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": "3.12.12" } }, "nbformat": 4, "nbformat_minor": 0 }