From 3c8e9a3cecfe7a77165675137ef66317b3013bb2 Mon Sep 17 00:00:00 2001 From: Ananya Gupta <145869907+ananyag309@users.noreply.github.com> Date: Sat, 26 Oct 2024 18:46:40 +0530 Subject: [PATCH] Add files via upload --- .../stress_level_detect/model.py | 26 + .../notebooks/stress_level_detection.ipynb | 3437 +++++++++++++++++ .../stress_level_detect/predict.py | 17 + .../saved_models/random_forest_model.joblib | Bin 0 -> 1575297 bytes 4 files changed, 3480 insertions(+) create mode 100644 Prediction Models/stress_level_detect/model.py create mode 100644 Prediction Models/stress_level_detect/notebooks/stress_level_detection.ipynb create mode 100644 Prediction Models/stress_level_detect/predict.py create mode 100644 Prediction Models/stress_level_detect/saved_models/random_forest_model.joblib diff --git a/Prediction Models/stress_level_detect/model.py b/Prediction Models/stress_level_detect/model.py new file mode 100644 index 00000000..83c628ec --- /dev/null +++ b/Prediction Models/stress_level_detect/model.py @@ -0,0 +1,26 @@ +from joblib import load + +# Load the trained Random Forest model +model = load('models/stress_level_detect/saved_models/random_forest_model.joblib') + +def stress_level_prediction(age, freq_no_purpose, freq_distracted, restless, worry_level, difficulty_concentrating, compare_to_successful_people, feelings_about_comparisons, freq_seeking_validation, freq_feeling_depressed, interest_fluctuation, sleep_issues): + # Feature extraction + features = [ + float(age), + int(freq_no_purpose), + int(freq_distracted), + int(restless), + int(worry_level), + int(difficulty_concentrating), + int(compare_to_successful_people), + int(feelings_about_comparisons), + int(freq_seeking_validation), + int(freq_feeling_depressed), + int(interest_fluctuation), + int(sleep_issues) + ] + + prediction = model.predict([features])[0] + + return prediction + diff --git a/Prediction Models/stress_level_detect/notebooks/stress_level_detection.ipynb b/Prediction Models/stress_level_detect/notebooks/stress_level_detection.ipynb new file mode 100644 index 00000000..e46d72ed --- /dev/null +++ b/Prediction Models/stress_level_detect/notebooks/stress_level_detection.ipynb @@ -0,0 +1,3437 @@ +{ + "metadata": { + "kernelspec": { + "language": "python", + "display_name": "Python 3", + "name": "python3" + }, + "language_info": { + "pygments_lexer": "ipython3", + "nbconvert_exporter": "python", + "version": "3.6.4", + "file_extension": ".py", + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "name": "python", + "mimetype": "text/x-python" + }, + "kaggle": { + "accelerator": "none", + "dataSources": [ + { + "sourceId": 6154312, + "sourceType": "datasetVersion", + "datasetId": 2752689 + } + ], + "dockerImageVersionId": 30558, + "isInternetEnabled": true, + "language": "python", + "sourceType": "notebook", + "isGpuEnabled": false + }, + "colab": { + "provenance": [] + } + }, + "nbformat_minor": 0, + "nbformat": 4, + "cells": [ + { + "source": [ + "\n", + "# IMPORTANT: RUN THIS CELL IN ORDER TO IMPORT YOUR KAGGLE DATA SOURCES\n", + "# TO THE CORRECT LOCATION (/kaggle/input) IN YOUR NOTEBOOK,\n", + "# THEN FEEL FREE TO DELETE THIS CELL.\n", + "# NOTE: THIS NOTEBOOK ENVIRONMENT DIFFERS FROM KAGGLE'S PYTHON\n", + "# ENVIRONMENT SO THERE MAY BE MISSING LIBRARIES USED BY YOUR\n", + "# NOTEBOOK.\n", + "\n", + "import os\n", + "import sys\n", + "from tempfile import NamedTemporaryFile\n", + "from urllib.request import urlopen\n", + "from urllib.parse import unquote, urlparse\n", + "from urllib.error import HTTPError\n", + "from zipfile import ZipFile\n", + "import tarfile\n", + "import shutil\n", + "\n", + "CHUNK_SIZE = 40960\n", + "DATA_SOURCE_MAPPING = 'social-media-and-mental-health:https%3A%2F%2Fstorage.googleapis.com%2Fkaggle-data-sets%2F2752689%2F6154312%2Fbundle%2Farchive.zip%3FX-Goog-Algorithm%3DGOOG4-RSA-SHA256%26X-Goog-Credential%3Dgcp-kaggle-com%2540kaggle-161607.iam.gserviceaccount.com%252F20240514%252Fauto%252Fstorage%252Fgoog4_request%26X-Goog-Date%3D20240514T145335Z%26X-Goog-Expires%3D259200%26X-Goog-SignedHeaders%3Dhost%26X-Goog-Signature%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'\n", + "\n", + "KAGGLE_INPUT_PATH='/kaggle/input'\n", + "KAGGLE_WORKING_PATH='/kaggle/working'\n", + "KAGGLE_SYMLINK='kaggle'\n", + "\n", + "!umount /kaggle/input/ 2> /dev/null\n", + "shutil.rmtree('/kaggle/input', ignore_errors=True)\n", + "os.makedirs(KAGGLE_INPUT_PATH, 0o777, exist_ok=True)\n", + "os.makedirs(KAGGLE_WORKING_PATH, 0o777, exist_ok=True)\n", + "\n", + "try:\n", + " os.symlink(KAGGLE_INPUT_PATH, os.path.join(\"..\", 'input'), target_is_directory=True)\n", + "except FileExistsError:\n", + " pass\n", + "try:\n", + " os.symlink(KAGGLE_WORKING_PATH, os.path.join(\"..\", 'working'), target_is_directory=True)\n", + "except FileExistsError:\n", + " pass\n", + "\n", + "for data_source_mapping in DATA_SOURCE_MAPPING.split(','):\n", + " directory, download_url_encoded = data_source_mapping.split(':')\n", + " download_url = unquote(download_url_encoded)\n", + " filename = urlparse(download_url).path\n", + " destination_path = os.path.join(KAGGLE_INPUT_PATH, directory)\n", + " try:\n", + " with urlopen(download_url) as fileres, NamedTemporaryFile() as tfile:\n", + " total_length = fileres.headers['content-length']\n", + " print(f'Downloading {directory}, {total_length} bytes compressed')\n", + " dl = 0\n", + " data = fileres.read(CHUNK_SIZE)\n", + " while len(data) > 0:\n", + " dl += len(data)\n", + " tfile.write(data)\n", + " done = int(50 * dl / int(total_length))\n", + " sys.stdout.write(f\"\\r[{'=' * done}{' ' * (50-done)}] {dl} bytes downloaded\")\n", + " sys.stdout.flush()\n", + " data = fileres.read(CHUNK_SIZE)\n", + " if filename.endswith('.zip'):\n", + " with ZipFile(tfile) as zfile:\n", + " zfile.extractall(destination_path)\n", + " else:\n", + " with tarfile.open(tfile.name) as tarfile:\n", + " tarfile.extractall(destination_path)\n", + " print(f'\\nDownloaded and uncompressed: {directory}')\n", + " except HTTPError as e:\n", + " print(f'Failed to load (likely expired) {download_url} to path {destination_path}')\n", + " continue\n", + " except OSError as e:\n", + " print(f'Failed to load {download_url} to path {destination_path}')\n", + " continue\n", + "\n", + "print('Data source import complete.')\n" + ], + "metadata": { + "id": "ispMP6Qlwh8i", + "outputId": "c5a0fa92-e5cd-4ce0-8b09-277a7f1f42a2", + "colab": { + "base_uri": "https://localhost:8080/" + } + }, + "cell_type": "code", + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Downloading social-media-and-mental-health, 10944 bytes compressed\n", + "\r[==================================================] 10944 bytes downloaded\n", + "Downloaded and uncompressed: social-media-and-mental-health\n", + "Data source import complete.\n" + ] + } + ], + "execution_count": null + }, + { + "cell_type": "code", + "source": [ + "\n", + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "\n", + "import os\n", + "for dirname, _, filenames in os.walk('/kaggle/input'):\n", + " for filename in filenames:\n", + " print(os.path.join(dirname, filename))" + ], + "metadata": { + "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5", + "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19", + "execution": { + "iopub.status.busy": "2023-10-30T11:28:16.792825Z", + "iopub.execute_input": "2023-10-30T11:28:16.793195Z", + "iopub.status.idle": "2023-10-30T11:28:16.802321Z", + "shell.execute_reply.started": "2023-10-30T11:28:16.793144Z", + "shell.execute_reply": "2023-10-30T11:28:16.800491Z" + }, + "trusted": true, + "id": "N84q3Tgiwh8p", + "outputId": "1cf20bea-b82d-4cee-d339-36fbf4819e57", + "colab": { + "base_uri": "https://localhost:8080/" + } + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "/kaggle/input/social-media-and-mental-health/smmh.csv\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "smmh = pd.read_csv('/kaggle/input/social-media-and-mental-health/smmh.csv')\n", + "smmh" + ], + "metadata": { + "execution": { + "iopub.status.busy": "2023-10-30T11:28:16.806694Z", + "iopub.execute_input": "2023-10-30T11:28:16.807055Z", + "iopub.status.idle": "2023-10-30T11:28:16.847373Z", + "shell.execute_reply.started": "2023-10-30T11:28:16.807026Z", + "shell.execute_reply": "2023-10-30T11:28:16.845998Z" + }, + "trusted": true, + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "KsuMfgU3wh8r", + "outputId": "e11d3c7e-f893-4e69-9517-1ebf0461de98" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " Timestamp 1. What is your age? 2. Gender \\\n", + "0 4/18/2022 19:18:47 21.0 Male \n", + "1 4/18/2022 19:19:28 21.0 Female \n", + "2 4/18/2022 19:25:59 21.0 Female \n", + "3 4/18/2022 19:29:43 21.0 Female \n", + "4 4/18/2022 19:33:31 21.0 Female \n", + ".. ... ... ... \n", + "476 5/21/2022 23:38:28 24.0 Male \n", + "477 5/22/2022 0:01:05 26.0 Female \n", + "478 5/22/2022 10:29:21 29.0 Female \n", + "479 7/14/2022 19:33:47 21.0 Male \n", + "480 11/12/2022 13:16:50 53.0 Male \n", + "\n", + " 3. Relationship Status 4. Occupation Status \\\n", + "0 In a relationship University Student \n", + "1 Single University Student \n", + "2 Single University Student \n", + "3 Single University Student \n", + "4 Single University Student \n", + ".. ... ... \n", + "476 Single Salaried Worker \n", + "477 Married Salaried Worker \n", + "478 Married Salaried Worker \n", + "479 Single University Student \n", + "480 Married Salaried Worker \n", + "\n", + " 5. What type of organizations are you affiliated with? \\\n", + "0 University \n", + "1 University \n", + "2 University \n", + "3 University \n", + "4 University \n", + ".. ... \n", + "476 University, Private \n", + "477 University \n", + "478 University \n", + "479 University \n", + "480 Private \n", + "\n", + " 6. Do you use social media? \\\n", + "0 Yes \n", + "1 Yes \n", + "2 Yes \n", + "3 Yes \n", + "4 Yes \n", + ".. ... \n", + "476 Yes \n", + "477 Yes \n", + "478 Yes \n", + "479 Yes \n", + "480 Yes \n", + "\n", + " 7. What social media platforms do you commonly use? \\\n", + "0 Facebook, Twitter, Instagram, YouTube, Discord... \n", + "1 Facebook, Twitter, Instagram, YouTube, Discord... \n", + "2 Facebook, Instagram, YouTube, Pinterest \n", + "3 Facebook, Instagram \n", + "4 Facebook, Instagram, YouTube \n", + ".. ... \n", + "476 Facebook, Instagram, YouTube \n", + "477 Facebook, YouTube \n", + "478 Facebook, YouTube \n", + "479 Facebook, Twitter, Instagram, YouTube, Discord... \n", + "480 Facebook, YouTube \n", + "\n", + " 8. What is the average time you spend on social media every day? \\\n", + "0 Between 2 and 3 hours \n", + "1 More than 5 hours \n", + "2 Between 3 and 4 hours \n", + "3 More than 5 hours \n", + "4 Between 2 and 3 hours \n", + ".. ... \n", + "476 Between 2 and 3 hours \n", + "477 Between 1 and 2 hours \n", + "478 Between 2 and 3 hours \n", + "479 Between 2 and 3 hours \n", + "480 Less than an Hour \n", + "\n", + " 9. How often do you find yourself using Social media without a specific purpose? \\\n", + "0 5 \n", + "1 4 \n", + "2 3 \n", + "3 4 \n", + "4 3 \n", + ".. ... \n", + "476 3 \n", + "477 2 \n", + "478 3 \n", + "479 2 \n", + "480 2 \n", + "\n", + " ... \\\n", + "0 ... \n", + "1 ... \n", + "2 ... \n", + "3 ... \n", + "4 ... \n", + ".. ... \n", + "476 ... \n", + "477 ... \n", + "478 ... \n", + "479 ... \n", + "480 ... \n", + "\n", + " 11. Do you feel restless if you haven't used Social media in a while? \\\n", + "0 2 \n", + "1 2 \n", + "2 1 \n", + "3 1 \n", + "4 4 \n", + ".. ... \n", + "476 3 \n", + "477 2 \n", + "478 4 \n", + "479 2 \n", + "480 1 \n", + "\n", + " 12. On a scale of 1 to 5, how easily distracted are you? \\\n", + "0 5 \n", + "1 4 \n", + "2 2 \n", + "3 3 \n", + "4 4 \n", + ".. ... \n", + "476 4 \n", + "477 3 \n", + "478 3 \n", + "479 3 \n", + "480 3 \n", + "\n", + " 13. On a scale of 1 to 5, how much are you bothered by worries? \\\n", + "0 2 \n", + "1 5 \n", + "2 5 \n", + "3 5 \n", + "4 5 \n", + ".. ... \n", + "476 3 \n", + "477 4 \n", + "478 2 \n", + "479 3 \n", + "480 1 \n", + "\n", + " 14. Do you find it difficult to concentrate on things? \\\n", + "0 5 \n", + "1 4 \n", + "2 4 \n", + "3 3 \n", + "4 5 \n", + ".. ... \n", + "476 4 \n", + "477 4 \n", + "478 3 \n", + "479 2 \n", + "480 1 \n", + "\n", + " 15. On a scale of 1-5, how often do you compare yourself to other successful people through the use of social media? \\\n", + "0 2 \n", + "1 5 \n", + "2 3 \n", + "3 5 \n", + "4 3 \n", + ".. ... \n", + "476 4 \n", + "477 4 \n", + "478 3 \n", + "479 2 \n", + "480 3 \n", + "\n", + " 16. Following the previous question, how do you feel about these comparisons, generally speaking? \\\n", + "0 3 \n", + "1 1 \n", + "2 3 \n", + "3 1 \n", + "4 3 \n", + ".. ... \n", + "476 2 \n", + "477 2 \n", + "478 3 \n", + "479 3 \n", + "480 3 \n", + "\n", + " 17. How often do you look to seek validation from features of social media? \\\n", + "0 2 \n", + "1 1 \n", + "2 1 \n", + "3 2 \n", + "4 3 \n", + ".. ... \n", + "476 4 \n", + "477 4 \n", + "478 4 \n", + "479 4 \n", + "480 2 \n", + "\n", + " 18. How often do you feel depressed or down? \\\n", + "0 5 \n", + "1 5 \n", + "2 4 \n", + "3 4 \n", + "4 4 \n", + ".. ... \n", + "476 3 \n", + "477 4 \n", + "478 2 \n", + "479 4 \n", + "480 2 \n", + "\n", + " 19. On a scale of 1 to 5, how frequently does your interest in daily activities fluctuate? \\\n", + "0 4 \n", + "1 4 \n", + "2 2 \n", + "3 3 \n", + "4 4 \n", + ".. ... \n", + "476 4 \n", + "477 4 \n", + "478 2 \n", + "479 5 \n", + "480 2 \n", + "\n", + " 20. On a scale of 1 to 5, how often do you face issues regarding sleep? \n", + "0 5 \n", + "1 5 \n", + "2 5 \n", + "3 2 \n", + "4 1 \n", + ".. ... \n", + "476 4 \n", + "477 1 \n", + "478 2 \n", + "479 4 \n", + "480 3 \n", + "\n", + "[481 rows x 21 columns]" + ], + "text/html": [ + "\n", + "
\n", + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Timestamp1. What is your age?2. Gender3. Relationship Status4. Occupation Status5. What type of organizations are you affiliated with?6. Do you use social media?7. What social media platforms do you commonly use?8. What is the average time you spend on social media every day?9. How often do you find yourself using Social media without a specific purpose?...11. Do you feel restless if you haven't used Social media in a while?12. On a scale of 1 to 5, how easily distracted are you?13. On a scale of 1 to 5, how much are you bothered by worries?14. Do you find it difficult to concentrate on things?15. On a scale of 1-5, how often do you compare yourself to other successful people through the use of social media?16. Following the previous question, how do you feel about these comparisons, generally speaking?17. How often do you look to seek validation from features of social media?18. How often do you feel depressed or down?19. On a scale of 1 to 5, how frequently does your interest in daily activities fluctuate?20. On a scale of 1 to 5, how often do you face issues regarding sleep?
04/18/2022 19:18:4721.0MaleIn a relationshipUniversity StudentUniversityYesFacebook, Twitter, Instagram, YouTube, Discord...Between 2 and 3 hours5...2525232545
14/18/2022 19:19:2821.0FemaleSingleUniversity StudentUniversityYesFacebook, Twitter, Instagram, YouTube, Discord...More than 5 hours4...2454511545
24/18/2022 19:25:5921.0FemaleSingleUniversity StudentUniversityYesFacebook, Instagram, YouTube, PinterestBetween 3 and 4 hours3...1254331425
34/18/2022 19:29:4321.0FemaleSingleUniversity StudentUniversityYesFacebook, InstagramMore than 5 hours4...1353512432
44/18/2022 19:33:3121.0FemaleSingleUniversity StudentUniversityYesFacebook, Instagram, YouTubeBetween 2 and 3 hours3...4455333441
..................................................................
4765/21/2022 23:38:2824.0MaleSingleSalaried WorkerUniversity, PrivateYesFacebook, Instagram, YouTubeBetween 2 and 3 hours3...3434424344
4775/22/2022 0:01:0526.0FemaleMarriedSalaried WorkerUniversityYesFacebook, YouTubeBetween 1 and 2 hours2...2344424441
4785/22/2022 10:29:2129.0FemaleMarriedSalaried WorkerUniversityYesFacebook, YouTubeBetween 2 and 3 hours3...4323334222
4797/14/2022 19:33:4721.0MaleSingleUniversity StudentUniversityYesFacebook, Twitter, Instagram, YouTube, Discord...Between 2 and 3 hours2...2332234454
48011/12/2022 13:16:5053.0MaleMarriedSalaried WorkerPrivateYesFacebook, YouTubeLess than an Hour2...1311332223
\n", + "

481 rows × 21 columns

\n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + "\n", + " \n", + "
\n", + "\n", + "\n", + "
\n", + " \n", + "\n", + "\n", + "\n", + " \n", + "
\n", + "\n", + "
\n", + " \n", + " \n", + " \n", + "
\n", + "\n", + "
\n", + "
\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "variable_name": "smmh" + } + }, + "metadata": {}, + "execution_count": 12 + } + ] + }, + { + "cell_type": "code", + "source": [ + "smmh.shape" + ], + "metadata": { + "execution": { + "iopub.status.busy": "2023-10-30T11:28:16.850291Z", + "iopub.execute_input": "2023-10-30T11:28:16.85077Z", + "iopub.status.idle": "2023-10-30T11:28:16.858597Z", + "shell.execute_reply.started": "2023-10-30T11:28:16.850728Z", + "shell.execute_reply": "2023-10-30T11:28:16.857036Z" + }, + "trusted": true, + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "wA_o3A9Gwh8r", + "outputId": "18720495-e1f2-43b9-de10-36bb37e057d4" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "(481, 21)" + ] + }, + "metadata": {}, + "execution_count": 13 + } + ] + }, + { + "cell_type": "code", + "source": [ + "smmh.columns" + ], + "metadata": { + "execution": { + "iopub.status.busy": "2023-10-30T11:28:16.860343Z", + "iopub.execute_input": "2023-10-30T11:28:16.860724Z", + "iopub.status.idle": "2023-10-30T11:28:16.880767Z", + "shell.execute_reply.started": "2023-10-30T11:28:16.860661Z", + "shell.execute_reply": "2023-10-30T11:28:16.878909Z" + }, + "trusted": true, + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "JzRloe4_wh8s", + "outputId": "83570896-a37f-4079-c427-bfda5c3d9266" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Index(['Timestamp', '1. What is your age?', '2. Gender',\n", + " '3. Relationship Status', '4. Occupation Status',\n", + " '5. What type of organizations are you affiliated with?',\n", + " '6. Do you use social media?',\n", + " '7. What social media platforms do you commonly use?',\n", + " '8. What is the average time you spend on social media every day?',\n", + " '9. How often do you find yourself using Social media without a specific purpose?',\n", + " '10. How often do you get distracted by Social media when you are busy doing something?',\n", + " '11. Do you feel restless if you haven't used Social media in a while?',\n", + " '12. On a scale of 1 to 5, how easily distracted are you?',\n", + " '13. On a scale of 1 to 5, how much are you bothered by worries?',\n", + " '14. Do you find it difficult to concentrate on things?',\n", + " '15. On a scale of 1-5, how often do you compare yourself to other successful people through the use of social media?',\n", + " '16. Following the previous question, how do you feel about these comparisons, generally speaking?',\n", + " '17. How often do you look to seek validation from features of social media?',\n", + " '18. How often do you feel depressed or down?',\n", + " '19. On a scale of 1 to 5, how frequently does your interest in daily activities fluctuate?',\n", + " '20. On a scale of 1 to 5, how often do you face issues regarding sleep?'],\n", + " dtype='object')" + ] + }, + "metadata": {}, + "execution_count": 14 + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "# Renaming the Columns" + ], + "metadata": { + "id": "dHGe8Wemwh8s" + } + }, + { + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "\n", + "new_column_names = {\n", + " 'Timestamp': 'timestamp',\n", + " '1. What is your age?': 'age',\n", + " '2. Gender': 'gender',\n", + " '3. Relationship Status': 'relationship_status',\n", + " '4. Occupation Status': 'occupation_status',\n", + " '5. What type of organizations are you affiliated with?': 'affiliated_organizations',\n", + " '6. Do you use social media?': 'use_social_media',\n", + " '7. What social media platforms do you commonly use?': 'social_media_platforms',\n", + " '8. What is the average time you spend on social media every day?': 'daily_social_media_time',\n", + " '9. How often do you find yourself using Social media without a specific purpose?': 'frequency_social_media_no_purpose',\n", + " '10. How often do you get distracted by Social media when you are busy doing something?': 'frequency_social_media_distracted',\n", + " \"11. Do you feel restless if you haven't used Social media in a while?\": 'restless_without_social_media',\n", + " '12. On a scale of 1 to 5, how easily distracted are you?': 'distractibility_scale',\n", + " '13. On a scale of 1 to 5, how much are you bothered by worries?': 'worry_level_scale',\n", + " '14. Do you find it difficult to concentrate on things?': 'difficulty_concentrating',\n", + " '15. On a scale of 1-5, how often do you compare yourself to other successful people through the use of social media?': 'compare_to_successful_people_scale',\n", + " '16. Following the previous question, how do you feel about these comparisons, generally speaking?': 'feelings_about_comparisons',\n", + " '17. How often do you look to seek validation from features of social media?': 'frequency_seeking_validation',\n", + " '18. How often do you feel depressed or down?': 'frequency_feeling_depressed',\n", + " '19. On a scale of 1 to 5, how frequently does your interest in daily activities fluctuate?': 'interest_fluctuation_scale',\n", + " '20. On a scale of 1 to 5, how often do you face issues regarding sleep?': 'sleep_issues_scale',\n", + "}\n", + "\n", + "smmh = smmh.rename(columns=new_column_names)\n" + ], + "metadata": { + "execution": { + "iopub.status.busy": "2023-10-30T11:28:16.883761Z", + "iopub.execute_input": "2023-10-30T11:28:16.884169Z", + "iopub.status.idle": "2023-10-30T11:28:16.894544Z", + "shell.execute_reply.started": "2023-10-30T11:28:16.884119Z", + "shell.execute_reply": "2023-10-30T11:28:16.893726Z" + }, + "trusted": true, + "id": "dLfpKO4fwh8u" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "smmh" + ], + "metadata": { + "execution": { + "iopub.status.busy": "2023-10-30T11:28:16.89555Z", + "iopub.execute_input": "2023-10-30T11:28:16.895926Z", + "iopub.status.idle": "2023-10-30T11:28:16.934763Z", + "shell.execute_reply.started": "2023-10-30T11:28:16.895891Z", + "shell.execute_reply": "2023-10-30T11:28:16.933345Z" + }, + "trusted": true, + "colab": { + "base_uri": "https://localhost:8080/", + "height": 669 + }, + "id": "FCiHkA4Uwh8v", + "outputId": "a02213cb-3277-472d-b79f-a385ef41ab48" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " timestamp age gender relationship_status \\\n", + "0 4/18/2022 19:18:47 21.0 Male In a relationship \n", + "1 4/18/2022 19:19:28 21.0 Female Single \n", + "2 4/18/2022 19:25:59 21.0 Female Single \n", + "3 4/18/2022 19:29:43 21.0 Female Single \n", + "4 4/18/2022 19:33:31 21.0 Female Single \n", + ".. ... ... ... ... \n", + "476 5/21/2022 23:38:28 24.0 Male Single \n", + "477 5/22/2022 0:01:05 26.0 Female Married \n", + "478 5/22/2022 10:29:21 29.0 Female Married \n", + "479 7/14/2022 19:33:47 21.0 Male Single \n", + "480 11/12/2022 13:16:50 53.0 Male Married \n", + "\n", + " occupation_status affiliated_organizations use_social_media \\\n", + "0 University Student University Yes \n", + "1 University Student University Yes \n", + "2 University Student University Yes \n", + "3 University Student University Yes \n", + "4 University Student University Yes \n", + ".. ... ... ... \n", + "476 Salaried Worker University, Private Yes \n", + "477 Salaried Worker University Yes \n", + "478 Salaried Worker University Yes \n", + "479 University Student University Yes \n", + "480 Salaried Worker Private Yes \n", + "\n", + " social_media_platforms \\\n", + "0 Facebook, Twitter, Instagram, YouTube, Discord... \n", + "1 Facebook, Twitter, Instagram, YouTube, Discord... \n", + "2 Facebook, Instagram, YouTube, Pinterest \n", + "3 Facebook, Instagram \n", + "4 Facebook, Instagram, YouTube \n", + ".. ... \n", + "476 Facebook, Instagram, YouTube \n", + "477 Facebook, YouTube \n", + "478 Facebook, YouTube \n", + "479 Facebook, Twitter, Instagram, YouTube, Discord... \n", + "480 Facebook, YouTube \n", + "\n", + " daily_social_media_time frequency_social_media_no_purpose ... \\\n", + "0 Between 2 and 3 hours 5 ... \n", + "1 More than 5 hours 4 ... \n", + "2 Between 3 and 4 hours 3 ... \n", + "3 More than 5 hours 4 ... \n", + "4 Between 2 and 3 hours 3 ... \n", + ".. ... ... ... \n", + "476 Between 2 and 3 hours 3 ... \n", + "477 Between 1 and 2 hours 2 ... \n", + "478 Between 2 and 3 hours 3 ... \n", + "479 Between 2 and 3 hours 2 ... \n", + "480 Less than an Hour 2 ... \n", + "\n", + " restless_without_social_media distractibility_scale worry_level_scale \\\n", + "0 2 5 2 \n", + "1 2 4 5 \n", + "2 1 2 5 \n", + "3 1 3 5 \n", + "4 4 4 5 \n", + ".. ... ... ... \n", + "476 3 4 3 \n", + "477 2 3 4 \n", + "478 4 3 2 \n", + "479 2 3 3 \n", + "480 1 3 1 \n", + "\n", + " difficulty_concentrating compare_to_successful_people_scale \\\n", + "0 5 2 \n", + "1 4 5 \n", + "2 4 3 \n", + "3 3 5 \n", + "4 5 3 \n", + ".. ... ... \n", + "476 4 4 \n", + "477 4 4 \n", + "478 3 3 \n", + "479 2 2 \n", + "480 1 3 \n", + "\n", + " feelings_about_comparisons frequency_seeking_validation \\\n", + "0 3 2 \n", + "1 1 1 \n", + "2 3 1 \n", + "3 1 2 \n", + "4 3 3 \n", + ".. ... ... \n", + "476 2 4 \n", + "477 2 4 \n", + "478 3 4 \n", + "479 3 4 \n", + "480 3 2 \n", + "\n", + " frequency_feeling_depressed interest_fluctuation_scale \\\n", + "0 5 4 \n", + "1 5 4 \n", + "2 4 2 \n", + "3 4 3 \n", + "4 4 4 \n", + ".. ... ... \n", + "476 3 4 \n", + "477 4 4 \n", + "478 2 2 \n", + "479 4 5 \n", + "480 2 2 \n", + "\n", + " sleep_issues_scale \n", + "0 5 \n", + "1 5 \n", + "2 5 \n", + "3 2 \n", + "4 1 \n", + ".. ... \n", + "476 4 \n", + "477 1 \n", + "478 2 \n", + "479 4 \n", + "480 3 \n", + "\n", + "[481 rows x 21 columns]" + ], + "text/html": [ + "\n", + "
\n", + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
timestampagegenderrelationship_statusoccupation_statusaffiliated_organizationsuse_social_mediasocial_media_platformsdaily_social_media_timefrequency_social_media_no_purpose...restless_without_social_mediadistractibility_scaleworry_level_scaledifficulty_concentratingcompare_to_successful_people_scalefeelings_about_comparisonsfrequency_seeking_validationfrequency_feeling_depressedinterest_fluctuation_scalesleep_issues_scale
04/18/2022 19:18:4721.0MaleIn a relationshipUniversity StudentUniversityYesFacebook, Twitter, Instagram, YouTube, Discord...Between 2 and 3 hours5...2525232545
14/18/2022 19:19:2821.0FemaleSingleUniversity StudentUniversityYesFacebook, Twitter, Instagram, YouTube, Discord...More than 5 hours4...2454511545
24/18/2022 19:25:5921.0FemaleSingleUniversity StudentUniversityYesFacebook, Instagram, YouTube, PinterestBetween 3 and 4 hours3...1254331425
34/18/2022 19:29:4321.0FemaleSingleUniversity StudentUniversityYesFacebook, InstagramMore than 5 hours4...1353512432
44/18/2022 19:33:3121.0FemaleSingleUniversity StudentUniversityYesFacebook, Instagram, YouTubeBetween 2 and 3 hours3...4455333441
..................................................................
4765/21/2022 23:38:2824.0MaleSingleSalaried WorkerUniversity, PrivateYesFacebook, Instagram, YouTubeBetween 2 and 3 hours3...3434424344
4775/22/2022 0:01:0526.0FemaleMarriedSalaried WorkerUniversityYesFacebook, YouTubeBetween 1 and 2 hours2...2344424441
4785/22/2022 10:29:2129.0FemaleMarriedSalaried WorkerUniversityYesFacebook, YouTubeBetween 2 and 3 hours3...4323334222
4797/14/2022 19:33:4721.0MaleSingleUniversity StudentUniversityYesFacebook, Twitter, Instagram, YouTube, Discord...Between 2 and 3 hours2...2332234454
48011/12/2022 13:16:5053.0MaleMarriedSalaried WorkerPrivateYesFacebook, YouTubeLess than an Hour2...1311332223
\n", + "

481 rows × 21 columns

\n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + "\n", + " \n", + "
\n", + "\n", + "\n", + "
\n", + " \n", + "\n", + "\n", + "\n", + " \n", + "
\n", + "\n", + "
\n", + " \n", + " \n", + " \n", + "
\n", + "\n", + "
\n", + "
\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "variable_name": "smmh" + } + }, + "metadata": {}, + "execution_count": 16 + } + ] + }, + { + "cell_type": "code", + "source": [ + "smmh_copy = smmh.copy()\n", + "smmh.info()" + ], + "metadata": { + "execution": { + "iopub.status.busy": "2023-10-30T11:28:16.936112Z", + "iopub.execute_input": "2023-10-30T11:28:16.936508Z", + "iopub.status.idle": "2023-10-30T11:28:16.950232Z", + "shell.execute_reply.started": "2023-10-30T11:28:16.936477Z", + "shell.execute_reply": "2023-10-30T11:28:16.949234Z" + }, + "trusted": true, + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "IzQzprt0wh8w", + "outputId": "b3bb1b97-c9f8-46c1-cc2b-884fe3b11d5d" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "RangeIndex: 481 entries, 0 to 480\n", + "Data columns (total 21 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 timestamp 481 non-null object \n", + " 1 age 481 non-null float64\n", + " 2 gender 481 non-null object \n", + " 3 relationship_status 481 non-null object \n", + " 4 occupation_status 481 non-null object \n", + " 5 affiliated_organizations 451 non-null object \n", + " 6 use_social_media 481 non-null object \n", + " 7 social_media_platforms 481 non-null object \n", + " 8 daily_social_media_time 481 non-null object \n", + " 9 frequency_social_media_no_purpose 481 non-null int64 \n", + " 10 frequency_social_media_distracted 481 non-null int64 \n", + " 11 restless_without_social_media 481 non-null int64 \n", + " 12 distractibility_scale 481 non-null int64 \n", + " 13 worry_level_scale 481 non-null int64 \n", + " 14 difficulty_concentrating 481 non-null int64 \n", + " 15 compare_to_successful_people_scale 481 non-null int64 \n", + " 16 feelings_about_comparisons 481 non-null int64 \n", + " 17 frequency_seeking_validation 481 non-null int64 \n", + " 18 frequency_feeling_depressed 481 non-null int64 \n", + " 19 interest_fluctuation_scale 481 non-null int64 \n", + " 20 sleep_issues_scale 481 non-null int64 \n", + "dtypes: float64(1), int64(12), object(8)\n", + "memory usage: 79.0+ KB\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "smmh.isnull().sum()" + ], + "metadata": { + "execution": { + "iopub.status.busy": "2023-10-30T11:28:16.951357Z", + "iopub.execute_input": "2023-10-30T11:28:16.951813Z", + "iopub.status.idle": "2023-10-30T11:28:16.976666Z", + "shell.execute_reply.started": "2023-10-30T11:28:16.951785Z", + "shell.execute_reply": "2023-10-30T11:28:16.974729Z" + }, + "trusted": true, + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "kf-Tp00pwh8x", + "outputId": "4bc4ccc4-ddc5-4bab-df46-6fefe26d28e4" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "timestamp 0\n", + "age 0\n", + "gender 0\n", + "relationship_status 0\n", + "occupation_status 0\n", + "affiliated_organizations 30\n", + "use_social_media 0\n", + "social_media_platforms 0\n", + "daily_social_media_time 0\n", + "frequency_social_media_no_purpose 0\n", + "frequency_social_media_distracted 0\n", + "restless_without_social_media 0\n", + "distractibility_scale 0\n", + "worry_level_scale 0\n", + "difficulty_concentrating 0\n", + "compare_to_successful_people_scale 0\n", + "feelings_about_comparisons 0\n", + "frequency_seeking_validation 0\n", + "frequency_feeling_depressed 0\n", + "interest_fluctuation_scale 0\n", + "sleep_issues_scale 0\n", + "dtype: int64" + ] + }, + "metadata": {}, + "execution_count": 18 + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "# Imputing the Null Values" + ], + "metadata": { + "id": "sMAD1Boxwh8x" + } + }, + { + "cell_type": "code", + "source": [ + "mode_value = smmh['affiliated_organizations'].mode()[0]\n", + "smmh['affiliated_organizations'].fillna(mode_value, inplace=True)" + ], + "metadata": { + "execution": { + "iopub.status.busy": "2023-10-30T11:28:16.978284Z", + "iopub.execute_input": "2023-10-30T11:28:16.978698Z", + "iopub.status.idle": "2023-10-30T11:28:16.987314Z", + "shell.execute_reply.started": "2023-10-30T11:28:16.978663Z", + "shell.execute_reply": "2023-10-30T11:28:16.985753Z" + }, + "trusted": true, + "id": "WpROFkRPwh8y" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "smmh.isnull().sum()" + ], + "metadata": { + "execution": { + "iopub.status.busy": "2023-10-30T11:28:16.991452Z", + "iopub.execute_input": "2023-10-30T11:28:16.991817Z", + "iopub.status.idle": "2023-10-30T11:28:17.007113Z", + "shell.execute_reply.started": "2023-10-30T11:28:16.991786Z", + "shell.execute_reply": "2023-10-30T11:28:17.005336Z" + }, + "trusted": true, + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "mcuiAEQ0wh8y", + "outputId": "602e9484-c6cb-4de8-c0fd-b4a1fd8f2293" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "timestamp 0\n", + "age 0\n", + "gender 0\n", + "relationship_status 0\n", + "occupation_status 0\n", + "affiliated_organizations 0\n", + "use_social_media 0\n", + "social_media_platforms 0\n", + "daily_social_media_time 0\n", + "frequency_social_media_no_purpose 0\n", + "frequency_social_media_distracted 0\n", + "restless_without_social_media 0\n", + "distractibility_scale 0\n", + "worry_level_scale 0\n", + "difficulty_concentrating 0\n", + "compare_to_successful_people_scale 0\n", + "feelings_about_comparisons 0\n", + "frequency_seeking_validation 0\n", + "frequency_feeling_depressed 0\n", + "interest_fluctuation_scale 0\n", + "sleep_issues_scale 0\n", + "dtype: int64" + ] + }, + "metadata": {}, + "execution_count": 20 + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "So our data has no null values. we are going to proceed forward." + ], + "metadata": { + "id": "OdzYoeGcwh8y" + } + }, + { + "cell_type": "code", + "source": [ + "duplicate_rows = smmh[smmh.duplicated()]\n", + "duplicate_rows.sum()" + ], + "metadata": { + "execution": { + "iopub.status.busy": "2023-10-30T11:28:17.008477Z", + "iopub.execute_input": "2023-10-30T11:28:17.008891Z", + "iopub.status.idle": "2023-10-30T11:28:17.030945Z", + "shell.execute_reply.started": "2023-10-30T11:28:17.00885Z", + "shell.execute_reply": "2023-10-30T11:28:17.029095Z" + }, + "trusted": true, + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "D0YtFED9wh8y", + "outputId": "1ff18be0-dbcb-45b5-8c1c-8fb8608ca8f1" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "timestamp 0\n", + "age 0.0\n", + "gender 0\n", + "relationship_status 0\n", + "occupation_status 0\n", + "affiliated_organizations 0\n", + "use_social_media 0\n", + "social_media_platforms 0\n", + "daily_social_media_time 0\n", + "frequency_social_media_no_purpose 0\n", + "frequency_social_media_distracted 0\n", + "restless_without_social_media 0\n", + "distractibility_scale 0\n", + "worry_level_scale 0\n", + "difficulty_concentrating 0\n", + "compare_to_successful_people_scale 0\n", + "feelings_about_comparisons 0\n", + "frequency_seeking_validation 0\n", + "frequency_feeling_depressed 0\n", + "interest_fluctuation_scale 0\n", + "sleep_issues_scale 0\n", + "dtype: object" + ] + }, + "metadata": {}, + "execution_count": 21 + } + ] + }, + { + "cell_type": "code", + "source": [ + "smmh.columns" + ], + "metadata": { + "execution": { + "iopub.status.busy": "2023-10-30T11:28:17.033291Z", + "iopub.execute_input": "2023-10-30T11:28:17.033742Z", + "iopub.status.idle": "2023-10-30T11:28:17.04221Z", + "shell.execute_reply.started": "2023-10-30T11:28:17.033693Z", + "shell.execute_reply": "2023-10-30T11:28:17.041181Z" + }, + "trusted": true, + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "FRIBH1_cwh8z", + "outputId": "d42017ba-c3f6-4ecc-fa92-03ce5a47ea3f" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Index(['timestamp', 'age', 'gender', 'relationship_status',\n", + " 'occupation_status', 'affiliated_organizations', 'use_social_media',\n", + " 'social_media_platforms', 'daily_social_media_time',\n", + " 'frequency_social_media_no_purpose',\n", + " 'frequency_social_media_distracted', 'restless_without_social_media',\n", + " 'distractibility_scale', 'worry_level_scale',\n", + " 'difficulty_concentrating', 'compare_to_successful_people_scale',\n", + " 'feelings_about_comparisons', 'frequency_seeking_validation',\n", + " 'frequency_feeling_depressed', 'interest_fluctuation_scale',\n", + " 'sleep_issues_scale'],\n", + " dtype='object')" + ] + }, + "metadata": {}, + "execution_count": 22 + } + ] + }, + { + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.ensemble import RandomForestRegressor\n", + "from sklearn.metrics import mean_absolute_error\n", + "from joblib import dump\n", + "\n", + "smmh['timestamp'] = pd.to_datetime(smmh['timestamp'])\n", + "\n", + "numeric_columns = smmh.select_dtypes(include=['int64', 'float64']).columns\n", + "X = smmh[numeric_columns]\n", + "X = X.drop(columns=['distractibility_scale'])\n", + "y = smmh['distractibility_scale']\n", + "\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n", + "\n", + "rf_model = RandomForestRegressor(random_state=42)\n", + "rf_model.fit(X_train, y_train)\n", + "\n", + "y_pred_rf = rf_model.predict(X_test)\n", + "\n", + "mae_rf = mean_absolute_error(y_test, y_pred_rf)\n", + "print('Random Forest Mean Absolute Error:', mae_rf)\n", + "\n", + "dump(rf_model, 'random_forest_model.joblib')\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "btcw3cwf0n-K", + "outputId": "109a45f7-46b1-43be-96cc-09154a5daaac" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Random Forest Mean Absolute Error: 0.5792989690721649\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "['random_forest_model.joblib']" + ] + }, + "metadata": {}, + "execution_count": 23 + } + ] + }, + { + "cell_type": "code", + "source": [ + "print(\"Columns used during training:\", X_train.columns)\n", + "print(\"No of columns used during training:\", len(X_train.columns))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "E3TS5rNM_lnn", + "outputId": "aa696cf3-7b75-416f-c8d8-40fa269a6057" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Columns used during training: Index(['age', 'frequency_social_media_no_purpose',\n", + " 'frequency_social_media_distracted', 'restless_without_social_media',\n", + " 'worry_level_scale', 'difficulty_concentrating',\n", + " 'compare_to_successful_people_scale', 'feelings_about_comparisons',\n", + " 'frequency_seeking_validation', 'frequency_feeling_depressed',\n", + " 'interest_fluctuation_scale', 'sleep_issues_scale'],\n", + " dtype='object')\n", + "No of columns used during training: 12\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "# Descriptive Analysis\n", + "\n", + " 1. What is the average age of the survey respondents?\n", + " 2. How is the gender distribution among the respondents?\n", + " 3. What are the most common relationship statuses and occupation statuses among the respondents?\n", + " 4. Which social media platforms are the most commonly used among the survey participants?\n", + " 5. What is the distribution of daily social media usage times among the respondents?\n", + " 6. How often do respondents find themselves using social media without a specific purpose, and how does this vary by age and gender?" + ], + "metadata": { + "id": "Sk-aru5_wh8z" + } + }, + { + "cell_type": "markdown", + "source": [ + "### What is the average age of the survey respondents, and what is the age distribution in the dataset?" + ], + "metadata": { + "id": "mF92_eOSwh8z" + } + }, + { + "cell_type": "code", + "source": [ + "average_age = smmh['age'].mean()\n", + "\n", + "plt.figure(figsize=(10, 6))\n", + "plt.hist(smmh['age'], bins=20, edgecolor='k')\n", + "plt.title('Age Distribution of Survey Respondents')\n", + "plt.xlabel('Age')\n", + "plt.ylabel('Number of Respondents')\n", + "plt.show()" + ], + "metadata": { + "execution": { + "iopub.status.busy": "2023-10-30T11:28:17.044672Z", + "iopub.execute_input": "2023-10-30T11:28:17.045015Z", + "iopub.status.idle": "2023-10-30T11:28:17.287139Z", + "shell.execute_reply.started": "2023-10-30T11:28:17.044987Z", + "shell.execute_reply": "2023-10-30T11:28:17.285479Z" + }, + "trusted": true, + "id": "6_LU7jGgwh8z", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 564 + }, + "outputId": "21dcee9f-69eb-4c21-af45-2c425402d387" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "#### Average Age: 26.14 years" + ], + "metadata": { + "id": "wkpSKte4wh8z" + } + }, + { + "cell_type": "markdown", + "source": [ + "### How is the gender distribution among the respondents?" + ], + "metadata": { + "id": "67isTbywwh8z" + } + }, + { + "cell_type": "code", + "source": [ + "gender_distribution = smmh['gender'].value_counts()\n", + "\n", + "plt.figure(figsize=(8, 6))\n", + "gender_distribution.plot(kind='bar')\n", + "plt.title('Gender Distribution of Survey Respondents')\n", + "plt.xlabel('Gender')\n", + "plt.ylabel('Number of Respondents')\n", + "plt.xticks(rotation=60)\n", + "plt.show()" + ], + "metadata": { + "execution": { + "iopub.status.busy": "2023-10-30T11:28:17.288523Z", + "iopub.execute_input": "2023-10-30T11:28:17.288923Z", + "iopub.status.idle": "2023-10-30T11:28:17.496826Z", + "shell.execute_reply.started": "2023-10-30T11:28:17.288864Z", + "shell.execute_reply": "2023-10-30T11:28:17.496087Z" + }, + "trusted": true, + "id": "jY19-lk7wh80", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 676 + }, + "outputId": "7b08b22b-3f63-42f0-868a-a55b1cd7f214" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### What are the most common relationship statuses and occupation statuses among the respondents?" + ], + "metadata": { + "id": "E08BspKfwh80" + } + }, + { + "cell_type": "code", + "source": [ + "relationship_statuses = smmh['relationship_status'].value_counts()\n", + "\n", + "plt.figure(figsize=(10, 6))\n", + "relationship_statuses.plot(kind='bar')\n", + "plt.title('Relationship Status of Survey Respondents')\n", + "plt.xlabel('Relationship Status')\n", + "plt.ylabel('Number of Respondents')\n", + "plt.xticks(rotation=45)\n", + "plt.show()" + ], + "metadata": { + "execution": { + "iopub.status.busy": "2023-10-30T11:28:17.497915Z", + "iopub.execute_input": "2023-10-30T11:28:17.499137Z", + "iopub.status.idle": "2023-10-30T11:28:17.696998Z", + "shell.execute_reply.started": "2023-10-30T11:28:17.499089Z", + "shell.execute_reply": "2023-10-30T11:28:17.695384Z" + }, + "trusted": true, + "id": "MIcYt5Xxwh80", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 639 + }, + "outputId": "3dbc877d-409d-4b6d-9907-ed9311d88c14" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "occupation_statuses = smmh['occupation_status'].value_counts()\n", + "\n", + "plt.figure(figsize=(10, 6))\n", + "occupation_statuses.plot(kind='bar')\n", + "plt.title('Occupation Status of Survey Respondents')\n", + "plt.xlabel('Occupation Status')\n", + "plt.ylabel('Number of Respondents')\n", + "plt.xticks(rotation=45)\n", + "plt.show()\n" + ], + "metadata": { + "execution": { + "iopub.status.busy": "2023-10-30T11:28:17.698785Z", + "iopub.execute_input": "2023-10-30T11:28:17.699117Z", + "iopub.status.idle": "2023-10-30T11:28:17.91695Z", + "shell.execute_reply.started": "2023-10-30T11:28:17.699089Z", + "shell.execute_reply": "2023-10-30T11:28:17.915902Z" + }, + "trusted": true, + "id": "inmA8rYRwh80", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 651 + }, + "outputId": "c1dd6752-9ebd-4e82-8224-a7fcf0c9ff4e" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Which social media platforms are the most commonly used among the survey participants?" + ], + "metadata": { + "id": "s9bcpJCewh81" + } + }, + { + "cell_type": "code", + "source": [ + "social_media_platforms = smmh['social_media_platforms'].str.split(', ', expand=True).stack().value_counts()\n", + "\n", + "plt.figure(figsize=(10, 6))\n", + "social_media_platforms.plot(kind='bar')\n", + "plt.title('Commonly Used Social Media Platforms by Respondents')\n", + "plt.xlabel('Social Media Platform')\n", + "plt.ylabel('Number of Respondents')\n", + "plt.xticks(rotation=45)\n", + "plt.show()\n" + ], + "metadata": { + "execution": { + "iopub.status.busy": "2023-10-30T11:28:17.918037Z", + "iopub.execute_input": "2023-10-30T11:28:17.91832Z", + "iopub.status.idle": "2023-10-30T11:28:18.164328Z", + "shell.execute_reply.started": "2023-10-30T11:28:17.918296Z", + "shell.execute_reply": "2023-10-30T11:28:18.16339Z" + }, + "trusted": true, + "id": "LLba_kQSwh81", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 610 + }, + "outputId": "35313316-1e37-4001-8d51-78626c549694" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [], + "metadata": { + "id": "MRSI3W_Cwh81" + } + }, + { + "cell_type": "markdown", + "source": [ + "### What is the distribution of daily social media usage times among the respondents?" + ], + "metadata": { + "id": "asQ0gT2Bwh81" + } + }, + { + "cell_type": "code", + "source": [ + "daily_usage_distribution = smmh['daily_social_media_time'].value_counts()\n", + "\n", + "plt.figure(figsize=(10, 6))\n", + "daily_usage_distribution.plot(kind='bar')\n", + "plt.title('Distribution of Daily Social Media Usage Times')\n", + "plt.xlabel('Daily Usage Time')\n", + "plt.ylabel('Number of Respondents')\n", + "plt.xticks(rotation=45)\n", + "plt.show()\n" + ], + "metadata": { + "execution": { + "iopub.status.busy": "2023-10-30T11:28:18.165533Z", + "iopub.execute_input": "2023-10-30T11:28:18.166603Z", + "iopub.status.idle": "2023-10-30T11:28:18.404612Z", + "shell.execute_reply.started": "2023-10-30T11:28:18.166566Z", + "shell.execute_reply": "2023-10-30T11:28:18.403193Z" + }, + "trusted": true, + "id": "gXkzCMdTwh81", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 674 + }, + "outputId": "c312c293-c31c-4e17-de64-b67c5ae76763" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### How often do respondents find themselves using social media without a specific purpose, and how does this vary by age and gender?" + ], + "metadata": { + "id": "WN45MZlWwh81" + } + }, + { + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "freq_by_age_gender = smmh.groupby(['age', 'gender'])['frequency_social_media_no_purpose'].mean().reset_index()\n", + "\n", + "pivot_table = freq_by_age_gender.pivot_table(index='age', columns='gender', values='frequency_social_media_no_purpose')\n", + "\n", + "plt.figure(figsize=(12, 8))\n", + "sns.heatmap(pivot_table, cmap='YlGnBu', annot=True, fmt=\".2f\")\n", + "plt.title('Frequency of Using Social Media Without a Specific Purpose by Age and Gender')\n", + "plt.xlabel('Gender')\n", + "plt.ylabel('Age')\n", + "plt.show()\n" + ], + "metadata": { + "execution": { + "iopub.status.busy": "2023-10-30T11:28:18.405747Z", + "iopub.execute_input": "2023-10-30T11:28:18.406058Z", + "iopub.status.idle": "2023-10-30T11:28:18.996459Z", + "shell.execute_reply.started": "2023-10-30T11:28:18.406033Z", + "shell.execute_reply": "2023-10-30T11:28:18.994722Z" + }, + "trusted": true, + "id": "AG44kqG8wh82", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 841 + }, + "outputId": "f75303ed-23c6-499c-a410-d28c8c34f073" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "# Exploratory Data Analysis (EDA)\n", + "\n", + " 1. Is there a correlation between the time spent on social media and feelings of restlessness when not using it?\n", + " 2. Are there any gender-based differences in social media usage patterns and their impact on mental health?\n", + " 3. Do younger age groups report more frequent distraction by social media during other activities?\n", + " 4. Are people who affiliate with different types of organizations more or less likely to seek validation from social media?" + ], + "metadata": { + "id": "6PnNRmQGwh82" + } + }, + { + "cell_type": "markdown", + "source": [ + "### Is there a correlation between the time spent on social media and feelings of restlessness when not using it?" + ], + "metadata": { + "id": "-Ivk14pEwh82" + } + }, + { + "cell_type": "code", + "source": [ + "import seaborn as sns\n", + "\n", + "smmh['daily_social_media_time'] = smmh['daily_social_media_time'].astype(str)\n", + "smmh['daily_social_media_time'] = smmh['daily_social_media_time'].str.extract('(\\d+)')\n", + "smmh['daily_social_media_time'] = pd.to_numeric(smmh['daily_social_media_time'])\n", + "correlation = smmh['daily_social_media_time'].corr(smmh['restless_without_social_media'])\n", + "\n", + "print(f\"Correlation between Time Spent on Social Media and Feelings of Restlessness: {correlation:.2f}\")\n", + "\n", + "\n", + "plt.figure(figsize=(10, 6))\n", + "sns.jointplot(x='daily_social_media_time', y='restless_without_social_media', data=smmh, kind='reg')\n", + "plt.suptitle('Relationship: Time Spent on Social Media vs. Feelings of Restlessness', y=1.02)\n", + "plt.show()" + ], + "metadata": { + "execution": { + "iopub.status.busy": "2023-10-30T11:28:18.997966Z", + "iopub.execute_input": "2023-10-30T11:28:18.998326Z", + "iopub.status.idle": "2023-10-30T11:28:19.758245Z", + "shell.execute_reply.started": "2023-10-30T11:28:18.998298Z", + "shell.execute_reply": "2023-10-30T11:28:19.756635Z" + }, + "trusted": true, + "id": "bEFIOXDVwh82", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 668 + }, + "outputId": "72c258b1-2f22-4ac6-fef1-573cf5feb166" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Correlation between Time Spent on Social Media and Feelings of Restlessness: 0.32\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Are there any gender-based differences in social media usage patterns and their impact on mental health?" + ], + "metadata": { + "id": "ieimYCA4wh82" + } + }, + { + "cell_type": "code", + "source": [ + "plt.figure(figsize=(20, 6))\n", + "sns.boxplot(x='gender', y='distractibility_scale', data=smmh)\n", + "plt.title('Gender-Based Differences in Distractibility')\n", + "plt.xlabel('Gender')\n", + "plt.ylabel('Distractibility Scale')\n", + "plt.show()\n", + "\n", + "plt.figure(figsize=(20, 6))\n", + "sns.boxplot(x='gender', y='worry_level_scale', data=smmh)\n", + "plt.title('Gender-Based Differences in Worry Levels')\n", + "plt.xlabel('Gender')\n", + "plt.ylabel('Worry Level Scale')\n", + "plt.show()\n" + ], + "metadata": { + "execution": { + "iopub.status.busy": "2023-10-30T11:28:19.75963Z", + "iopub.execute_input": "2023-10-30T11:28:19.760483Z", + "iopub.status.idle": "2023-10-30T11:28:20.422861Z", + "shell.execute_reply.started": "2023-10-30T11:28:19.76045Z", + "shell.execute_reply": "2023-10-30T11:28:20.421283Z" + }, + "trusted": true, + "id": "NkuXKOROwh83", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 971 + }, + "outputId": "d449e48b-77e7-471a-830d-64e6f8441d82" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Do younger age groups report more frequent distraction by social media during other activities?" + ], + "metadata": { + "id": "zNoK8e7Jwh83" + } + }, + { + "cell_type": "code", + "source": [ + "plt.figure(figsize=(10, 6))\n", + "sns.scatterplot(x='age', y='frequency_social_media_distracted', data=smmh)\n", + "plt.title('Relationship Between Age and Frequency of Distraction by Social Media')\n", + "plt.xlabel('Age')\n", + "plt.ylabel('Frequency of Distraction by Social Media')\n", + "plt.show()\n" + ], + "metadata": { + "execution": { + "iopub.status.busy": "2023-10-30T11:28:20.424607Z", + "iopub.execute_input": "2023-10-30T11:28:20.424954Z", + "iopub.status.idle": "2023-10-30T11:28:20.692399Z", + "shell.execute_reply.started": "2023-10-30T11:28:20.424925Z", + "shell.execute_reply": "2023-10-30T11:28:20.690931Z" + }, + "trusted": true, + "id": "ZbE4S2-lwh83", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 564 + }, + "outputId": "e7ba9a4c-a045-4339-f226-e5ea0c0a2275" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Are people who affiliate with different types of organizations more or less likely to seek validation from social media?" + ], + "metadata": { + "id": "G64q7Y7Vwh8-" + } + }, + { + "cell_type": "code", + "source": [ + "plt.figure(figsize=(12, 6))\n", + "sns.boxplot(x='affiliated_organizations', y='frequency_seeking_validation', data=smmh)\n", + "plt.title('Affiliated Organizations and Frequency of Seeking Validation from Social Media')\n", + "plt.xlabel('Affiliated Organizations')\n", + "plt.ylabel('Frequency of Seeking Validation')\n", + "plt.xticks(rotation=90)\n", + "plt.show()\n" + ], + "metadata": { + "execution": { + "iopub.status.busy": "2023-10-30T11:28:20.69617Z", + "iopub.execute_input": "2023-10-30T11:28:20.69648Z", + "iopub.status.idle": "2023-10-30T11:28:21.145304Z", + "shell.execute_reply.started": "2023-10-30T11:28:20.696454Z", + "shell.execute_reply": "2023-10-30T11:28:21.144129Z" + }, + "trusted": true, + "id": "3z-16ar-wh8-", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 782 + }, + "outputId": "6aec7810-8beb-41e7-ef86-2564763abb1e" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "# Advanced Analysis\n", + "\n", + " 1. Can you build a predictive model to determine the likelihood of a person feeling restless when not using social media based on their survey responses?\n", + " 2. Are there any significant differences in distractibility or worry levels based on the social media platforms commonly used by respondents?\n", + " 3. Can you identify clusters or segments of respondents with similar social media usage and mental health profiles using clustering algorithms?\n", + " 4. Investigate the impact of social media usage on self-reported depression levels using regression analysis" + ], + "metadata": { + "id": "X0fVhcDKwh8-" + } + }, + { + "cell_type": "markdown", + "source": [ + "### Building a predictive model to determine the likelihood of a person feeling restless when not using social media based on their survey responses?" + ], + "metadata": { + "id": "13ZMrDQ0wh8_" + } + }, + { + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "from sklearn.metrics import accuracy_score, classification_report\n", + "from sklearn.preprocessing import LabelEncoder\n", + "from sklearn.impute import SimpleImputer\n", + "from imblearn.under_sampling import RandomUnderSampler\n", + "\n", + "smmh = smmh.drop('timestamp', axis=1)\n", + "\n", + "categorical_columns = ['gender', 'relationship_status', 'occupation_status', 'affiliated_organizations', 'use_social_media', 'social_media_platforms']\n", + "for column in categorical_columns:\n", + " le = LabelEncoder()\n", + " smmh[column] = le.fit_transform(smmh[column])\n", + "\n", + "X = smmh.drop('restless_without_social_media', axis=1)\n", + "y = smmh['restless_without_social_media']\n", + "\n", + "imputer = SimpleImputer(strategy='mean')\n", + "X = imputer.fit_transform(X)\n", + "\n", + "undersampler = RandomUnderSampler(sampling_strategy='majority', random_state=42)\n", + "X_resampled, y_resampled = undersampler.fit_resample(X, y)\n", + "\n", + "X_train, X_test, y_train, y_test = train_test_split(X_resampled, y_resampled, test_size=0.2, random_state=42)\n", + "\n", + "model = RandomForestClassifier(n_estimators=50, random_state=42, criterion='entropy', min_samples_split=3)\n", + "\n", + "model.fit(X_train, y_train)\n", + "\n", + "y_pred = model.predict(X_test)\n", + "\n", + "accuracy = accuracy_score(y_test, y_pred)\n", + "report = classification_report(y_test, y_pred)\n", + "\n", + "print(f\"Accuracy: {accuracy}\")\n", + "print(report)\n" + ], + "metadata": { + "execution": { + "iopub.status.busy": "2023-10-30T11:28:21.146865Z", + "iopub.execute_input": "2023-10-30T11:28:21.147506Z", + "iopub.status.idle": "2023-10-30T11:28:21.262995Z", + "shell.execute_reply.started": "2023-10-30T11:28:21.147471Z", + "shell.execute_reply": "2023-10-30T11:28:21.26204Z" + }, + "trusted": true, + "id": "-_ipqgeSwh8_", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "ac449de3-9e94-44dc-d719-60998a8684dc" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Accuracy: 0.5802469135802469\n", + " precision recall f1-score support\n", + "\n", + " 1 0.80 0.88 0.84 32\n", + " 2 0.00 0.00 0.00 8\n", + " 3 0.52 0.64 0.57 22\n", + " 4 0.14 0.25 0.18 8\n", + " 5 0.75 0.27 0.40 11\n", + "\n", + " accuracy 0.58 81\n", + " macro avg 0.44 0.41 0.40 81\n", + "weighted avg 0.57 0.58 0.56 81\n", + "\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "y.unique()" + ], + "metadata": { + "execution": { + "iopub.status.busy": "2023-10-30T11:28:47.881573Z", + "iopub.execute_input": "2023-10-30T11:28:47.881933Z", + "iopub.status.idle": "2023-10-30T11:28:47.89005Z", + "shell.execute_reply.started": "2023-10-30T11:28:47.881904Z", + "shell.execute_reply": "2023-10-30T11:28:47.888318Z" + }, + "trusted": true, + "id": "IFUoRF8gwh8_", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "f49bc3ee-d4a4-47d5-9413-8cfe0a6a0132" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "array([2, 1, 4, 3, 5])" + ] + }, + "metadata": {}, + "execution_count": 37 + } + ] + }, + { + "cell_type": "code", + "source": [ + "y.value_counts()" + ], + "metadata": { + "execution": { + "iopub.status.busy": "2023-10-30T11:28:49.087997Z", + "iopub.execute_input": "2023-10-30T11:28:49.088353Z", + "iopub.status.idle": "2023-10-30T11:28:49.09823Z", + "shell.execute_reply.started": "2023-10-30T11:28:49.088323Z", + "shell.execute_reply": "2023-10-30T11:28:49.096682Z" + }, + "trusted": true, + "id": "VrOtvIjtwh8_", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "ef24b333-f390-4639-e5a1-81801eaebbf7" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "restless_without_social_media\n", + "2 124\n", + "3 124\n", + "1 117\n", + "4 72\n", + "5 44\n", + "Name: count, dtype: int64" + ] + }, + "metadata": {}, + "execution_count": 38 + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "We've successfully improved the model's accuracy from 43% to 58% despite working with a dataset that has 5 imbalanced classes." + ], + "metadata": { + "id": "DPiWdQ-Wwh8_" + } + }, + { + "cell_type": "markdown", + "source": [ + "### Are there any significant differences in distractibility or worry levels based on the social media platforms commonly used by respondents?" + ], + "metadata": { + "id": "OwmyNE5pwh9A" + } + }, + { + "cell_type": "code", + "source": [ + "from scipy.stats import f_oneway\n", + "\n", + "social_media_platforms = smmh['social_media_platforms']\n", + "distractibility = smmh['distractibility_scale']\n", + "worry_levels = smmh['worry_level_scale']\n", + "\n", + "platforms_data = {}\n", + "for platform in social_media_platforms.unique():\n", + " platforms_data[platform] = distractibility[social_media_platforms == platform]\n", + "\n", + "f_statistic, p_value = f_oneway(*platforms_data.values())\n", + "print(\"ANOVA for Distractibility:\")\n", + "print(f\"F-statistic: {f_statistic}\")\n", + "print(f\"P-value: {p_value}\")\n" + ], + "metadata": { + "execution": { + "iopub.status.busy": "2023-10-30T11:28:51.487825Z", + "iopub.execute_input": "2023-10-30T11:28:51.488214Z", + "iopub.status.idle": "2023-10-30T11:28:51.530545Z", + "shell.execute_reply.started": "2023-10-30T11:28:51.488178Z", + "shell.execute_reply": "2023-10-30T11:28:51.528975Z" + }, + "trusted": true, + "id": "lxnsk935wh9A", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "5be8efde-b59d-48b4-c2c5-9f3c8fcefa77" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "ANOVA for Distractibility:\n", + "F-statistic: 1.2696969420938404\n", + "P-value: 0.047344447850293236\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "For Distractibility: The p-value is 0.0473, which is less than the typical significance level of 0.05. This indicates that there are statistically significant differences in Distractibility levels among the different social media platforms." + ], + "metadata": { + "id": "4dGyIEnKwh9A" + } + }, + { + "cell_type": "code", + "source": [ + "platforms_data_worry = {}\n", + "for platform in social_media_platforms.unique():\n", + " platforms_data_worry[platform] = worry_levels[social_media_platforms == platform]\n", + "\n", + "f_statistic_worry, p_value_worry = f_oneway(*platforms_data_worry.values())\n", + "print(\"ANOVA for Worry Levels:\")\n", + "print(f\"F-statistic: {f_statistic_worry}\")\n", + "print(f\"P-value: {p_value_worry}\")" + ], + "metadata": { + "execution": { + "iopub.status.busy": "2023-10-30T11:28:54.250955Z", + "iopub.execute_input": "2023-10-30T11:28:54.251359Z", + "iopub.status.idle": "2023-10-30T11:28:54.285888Z", + "shell.execute_reply.started": "2023-10-30T11:28:54.251328Z", + "shell.execute_reply": "2023-10-30T11:28:54.284541Z" + }, + "trusted": true, + "id": "9zanFB0Zwh9A", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "d8509010-1220-4480-c9a5-01487b1e5aca" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "ANOVA for Worry Levels:\n", + "F-statistic: 1.2805634465456277\n", + "P-value: 0.041722917961252916\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "For Worry Levels: The p-value is 0.0417, also less than 0.05. This suggests that there are statistically significant differences in Worry Levels among the different social media platforms." + ], + "metadata": { + "id": "Qdey942twh9A" + } + }, + { + "cell_type": "markdown", + "source": [ + "### Identifying clusters or segments of respondents with similar social media usage and mental health profiles using clustering algorithms?" + ], + "metadata": { + "id": "Ip4nzt17wh9A" + } + }, + { + "cell_type": "code", + "source": [ + "from sklearn.cluster import KMeans\n", + "from sklearn.preprocessing import StandardScaler\n", + "from sklearn.decomposition import PCA\n", + "from sklearn.impute import SimpleImputer\n", + "\n", + "\n", + "columns_for_clustering = ['daily_social_media_time', 'frequency_social_media_no_purpose', 'frequency_social_media_distracted',\n", + " 'restless_without_social_media', 'distractibility_scale', 'worry_level_scale']\n", + "\n", + "data_for_clustering = smmh[columns_for_clustering]\n", + "\n", + "imputer = SimpleImputer(strategy='mean')\n", + "data_for_clustering_imputed = imputer.fit_transform(data_for_clustering)\n", + "\n", + "scaler = StandardScaler()\n", + "data_for_clustering_standardized = scaler.fit_transform(data_for_clustering_imputed)\n", + "\n", + "pca = PCA(n_components=2)\n", + "data_for_clustering_reduced = pca.fit_transform(data_for_clustering_standardized)\n", + "\n", + "wcss = []\n", + "for i in range(1, 11):\n", + " kmeans = KMeans(n_clusters=i, init='k-means++', max_iter=300, n_init=10, random_state=0)\n", + " kmeans.fit(data_for_clustering_standardized)\n", + " wcss.append(kmeans.inertia_)\n", + "\n", + "# Plot the Elbow method graph\n", + "plt.figure(figsize=(8, 6))\n", + "plt.plot(range(1, 11), wcss, marker='o', linestyle='--')\n", + "plt.title('Elbow Method')\n", + "plt.xlabel('Number of clusters')\n", + "plt.ylabel('WCSS')\n", + "plt.show()\n", + "\n", + "optimal_num_clusters = 3\n", + "\n", + "kmeans = KMeans(n_clusters=optimal_num_clusters, init='k-means++', max_iter=300, n_init=10, random_state=0)\n", + "cluster_labels = kmeans.fit_predict(data_for_clustering_standardized)\n", + "\n", + "smmh['Cluster'] = cluster_labels\n", + "\n", + "plt.figure(figsize=(8, 6))\n", + "plt.scatter(data_for_clustering_reduced[:, 0], data_for_clustering_reduced[:, 1], c=cluster_labels, cmap='rainbow')\n", + "plt.title('Clusters of Respondents')\n", + "plt.xlabel('Principal Component 1')\n", + "plt.ylabel('Principal Component 2')\n", + "plt.show()\n" + ], + "metadata": { + "execution": { + "iopub.status.busy": "2023-10-30T11:28:56.527292Z", + "iopub.execute_input": "2023-10-30T11:28:56.527704Z", + "iopub.status.idle": "2023-10-30T11:28:57.227528Z", + "shell.execute_reply.started": "2023-10-30T11:28:56.527668Z", + "shell.execute_reply": "2023-10-30T11:28:57.22587Z" + }, + "trusted": true, + "id": "WEVzliURwh9B", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "outputId": "954b89af-47f3-47ff-e2ea-e21e84e9765a" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "**Cluster 0 represents respondents with moderate social media usage, lower distractibility, and worry levels.**\n", + "\n", + "**Cluster 1 consists of respondents with higher social media usage and moderately elevated distractibility and worry levels.**\n", + "\n", + "**Cluster 2 includes respondents with the highest social media usage, significantly elevated distractibility, and worry levels.**" + ], + "metadata": { + "id": "RUVo5PxEwh9B" + } + }, + { + "cell_type": "markdown", + "source": [ + "### Investigating the impact of social media usage on self-reported depression levels using regression analysis" + ], + "metadata": { + "id": "3WDdmWVIwh9B" + } + }, + { + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "import statsmodels.api as sm\n", + "import numpy as np\n", + "\n", + "smmh.fillna(smmh.mean(), inplace=True)\n", + "\n", + "smmh.replace([np.inf, -np.inf], np.nan, inplace=True)\n", + "smmh.fillna(smmh.mean(), inplace=True)\n", + "\n", + "y = smmh['frequency_feeling_depressed']\n", + "X = smmh[['daily_social_media_time', 'frequency_social_media_no_purpose', 'frequency_social_media_distracted']]\n", + "\n", + "X = sm.add_constant(X)\n", + "\n", + "model = sm.OLS(y, X).fit()\n", + "\n", + "print(model.summary())\n" + ], + "metadata": { + "execution": { + "iopub.status.busy": "2023-10-30T11:34:03.776108Z", + "iopub.execute_input": "2023-10-30T11:34:03.776524Z", + "iopub.status.idle": "2023-10-30T11:34:03.817081Z", + "shell.execute_reply.started": "2023-10-30T11:34:03.776491Z", + "shell.execute_reply": "2023-10-30T11:34:03.815484Z" + }, + "trusted": true, + "id": "5Q-78NIZwh9B", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "d0e9f543-f8dd-48b4-9fee-c06ad023f56d" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " OLS Regression Results \n", + "=======================================================================================\n", + "Dep. Variable: frequency_feeling_depressed R-squared: 0.180\n", + "Model: OLS Adj. R-squared: 0.175\n", + "Method: Least Squares F-statistic: 34.94\n", + "Date: Tue, 14 May 2024 Prob (F-statistic): 1.98e-20\n", + "Time: 14:54:32 Log-Likelihood: -765.23\n", + "No. Observations: 481 AIC: 1538.\n", + "Df Residuals: 477 BIC: 1555.\n", + "Df Model: 3 \n", + "Covariance Type: nonrobust \n", + "=====================================================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "-----------------------------------------------------------------------------------------------------\n", + "const 1.3470 0.206 6.528 0.000 0.942 1.752\n", + "daily_social_media_time 0.1075 0.042 2.570 0.010 0.025 0.190\n", + "frequency_social_media_no_purpose 0.1850 0.057 3.241 0.001 0.073 0.297\n", + "frequency_social_media_distracted 0.2756 0.047 5.890 0.000 0.184 0.367\n", + "==============================================================================\n", + "Omnibus: 26.030 Durbin-Watson: 1.959\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 11.566\n", + "Skew: -0.133 Prob(JB): 0.00308\n", + "Kurtosis: 2.289 Cond. No. 23.4\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n" + ] + } + ] + } + ] +} \ No newline at end of file diff --git a/Prediction Models/stress_level_detect/predict.py b/Prediction Models/stress_level_detect/predict.py new file mode 100644 index 00000000..eeef634f --- /dev/null +++ b/Prediction Models/stress_level_detect/predict.py @@ -0,0 +1,17 @@ +from models.stress_level_detect.model import stress_level_prediction + +def get_prediction(age, freq_no_purpose, freq_distracted, restless, worry_level, difficulty_concentrating, compare_to_successful_people, feelings_about_comparisons, freq_seeking_validation, freq_feeling_depressed, interest_fluctuation, sleep_issues): + + prediction = stress_level_prediction(age, freq_no_purpose, freq_distracted, restless, worry_level, difficulty_concentrating, compare_to_successful_people, feelings_about_comparisons, freq_seeking_validation, freq_feeling_depressed, interest_fluctuation, sleep_issues) + + advice = "" + + # Provide advice based on the prediction value + if prediction < 1.5: + advice = "You are experiencing mild stress. Keep maintaining a balanced lifestyle, and consider engaging in activities that bring you joy and relaxation." + elif 1.5 <= prediction < 3.5: + advice = "You have a moderate stress level. It's important to take breaks and practice stress-relief techniques like mindfulness, walking, cycling, music or exercise." + else: + advice = "You are experiencing high stress levels. Consider reaching out to a mental health professional or practicing stress management techniques to help cope." + + return advice \ No newline at end of file diff --git a/Prediction Models/stress_level_detect/saved_models/random_forest_model.joblib b/Prediction Models/stress_level_detect/saved_models/random_forest_model.joblib new file mode 100644 index 0000000000000000000000000000000000000000..3d8a0a89a4d2a93788f20890a58bdc041cafc0f4 GIT binary patch literal 1575297 zcmd>n2YeO9_Wu$?xP%ZcAruiLM#PASbWq9;MOqXo7OWwJK#-P%pkloi1T^+wFW9i6 z*c)h21OyZi1sfVb6s)nw^4|N;?tIVAJ#*RTUM|m<_xs;ZKKX8$Gv~~iGiPRJ=j=q1 z7fjsGa)0G5W=@$}m|r@*W8w6fh114QE$o;#aYkw3%(9B|rla$xPna=nuzNbXaFV<_ zb4F>!jTMJoQgLBLPI-NqYVx%FGI_1MDP>buS}3z9n3_LxX5mbEeNbV+qPZ{<(P*3X98% zDn^tyo;G=U-pu@I#ZwDs=DA5La+Au#(N|^3CRXIuDR1FiJg0E-q@uFCiKY1kWs+Z> zdvl0VgJqScIeAYk%rBcI%PF%@cg~$OdDCZ1aId75y86hQS(aZ`C{r|ba-BS_c$O@} zY$;YjX<`1%!iuOYT{VEQB&c6dP@I=PwYVrhDpA8}Gp5fdn=yTIL0*B>`iSyy9(0*^ zc44Wbx{C6;ojZ2x*rj6D`0}*rd7jp1R^(174|}J1#rdWA(`HuW6g4PnR1_|1T$EAN zq$snfSy9uX7DfBZ3avkW#*DI=Wu^JW74ypL&zLbjZ)Sn4+=}_-Dbw@LnlWA$yQpby z`|^5{@%S0CD7jX7>N)wP)0`rgmQ~CzYCfX8fuk3wU8ZkPlvdPeL{T_5si<*oouUk{ z^hHgE*wsqAMVTXtn&}%Y^x^)p8lm&N>G{)SMM{-clsA#WOr1QwaPEw6I{tbXg^{3d&MTER`x1f~S_$$+hN`BuT@N7FaMdwQ#y~kXo|e*g8_N z<4cmqrbwKcUp9Gq=aRZtl%$LMe`N*d>kbv#A>q{5Pnu?NYciKT@lv!o!i^JdN{n4CW~ zZ(8Am$@#L4bZ?OM=`SKjnB#S<(YsE|aHAS0+oFH*u=0 z?O84{#Ar1(LuN5^YGGk<-sG7xXE_edEobY(vXTSGcU*9+Q{nPgo<804QEpSoO)F2$ z^W0#?agjRZsnhdhDT-&6&CGLrU#7mDr`x}qP`i$bqWa|xyi-YdhIAt#<>%cd-moY= zP&02jeB#I3@}gUN^ASa?!58(-O)IjcU=5=kt`s$`ysp!E$mXBHI}_)s>;jw~M7Cu~ zoddxRFX~uyWNw`~6-Awkx)gOS>Rz5SnYGViv%$iq!q}UiG#eOIC=%!sr(NQCE%2THnPL!5a zGdT@Z!KbI9r11Xx}qzO^SQsLCOD*-v(^5&{5lRc$*Cu5p4AICl? z&2Y@#VOmk<7UWD*J4K^-i+6OBYh6)Mlvi|CZb;%diD8NP4&}rsz3!2+g-kiVs3bQ_ zVu7U0kvKt~cam7>o^JLN99syvix(M z-xj;6x`6-vJ$k2?aDI+2b$%fQ_#YPQ=DqVtRfA1-I=g<9M_&)u(|}YSby{O9Tx~bR zeFeQddg51~-N#8}h={C7A9M3ZPuP@B-RbDjqnUc}PaGkKN}xsMROdN@uBYOl0g$Il z6IrWDTCFNsXOo?%WFdj%md6+ee*Ag8R6{S;Uea40f6^<}57$$TJ@WpvK3i{FZgB2M5J54Nfnt!YHHu(vaEXUKoGrn_vS?+(!B0r)| zlZ9x0M%l(=R@vOYwe#qmA*AzT@~KOf6&WZhcW?f4$ge-^Iqt^eA0_Hz*A&Ia;!Lj6zel|N|x`L&-zP;MGua63yA8)oFydwc(FHu))) zT=(DYK;IR}?KeX#{9^W9U(Ei*rtyJF*4?w;LqXRC$YGceHyvB{XP*yk>L1kot{#03 z2o48wJ5LtH-<17%nH+ymKckX$7D#R#hJ*G%-cHkm$b5Xrw)0lld|Z<0@eith-hXNT z6O`Vs{yISJ&Qzdi6hlQN{12}e?SGCy`cBbwbR6j+D$jEiu*UFTZ3QLih=U`6+)q&Z zS#9WV-<3b8{tlhu|4kDS=lQGG=Qg!(m29*}-wSkofu{WxHF$1ZgXgMj>fcqe z5dz7rqj1m%$m_YrzHa638^*R-V~l@WdHjzCU2n=T8fE+0^Y}G>`{VW#fB(npC4T$i z^t%50p}Z$Ymz$0&j}hZmEoxsr{Ue*k2kx!Na8G~qATt6qrvI({>|YB{o&KIN{u=7h z3(yS%azC9WD(CdQ_MP^dY#Lv?$sz*;l3V?8FaT)wACU`xJ-l@8n}+}E>d`0K{s)5Z zP#}ZK0m3@a`MqL{|2li+9|VG97$Kb;CDhU5#`A9{k3OjUyj^razLqr@tf+l+J0&~+ zzdL>!j`HUMx&38`i1YZ|W~EK@8!B0sxb@HdVtWC0*0DG^4#@3SK7Z8m@yqd$do+-b zQ)+A)zwmP92qd>g;$Rez+n*f2{YU0sERTQC_QU1U{(B7MJ_(ovRFEvJFV*uK@7J;g zB|8BJC(?yzjF6xD-*10>{1*TG1J|qWzfOU^P6zUOlFvWx`1uRt`B{&jPX*m+K;C~P z`?fzM|J&wIxc+qc&wwCjl0eZY$1m0@HU8oB@#~-KHU9R)>n~G~nB#De59D&z*wrr# zI{w}Fx7jpL;wF>x!bl!i|J<*)_2|bVqe39}Q#H1Db@zxbZ`@|n{JxtkGC&}?Re*yD zK<@vj|6FbJa_Ra@)c*vf=lUnP|8CrU@(3=J)px`INsuhzPI$n*_S)KnBwO zM&5t*)Nk5sGu|KQ`GX=5Oksp{(p^}uK6T#Becm_5Kf3>%jHG7)c|FVid!?Gc=j94{ z^6#DgEI|?mrRVKO_a9S{(KH~pA36TT^E>Z9wEYIAC*2|Cj-}i-A0y?ElpxNb`O%+)a=!rNc9tP3Tjf5~B&u2Imv5(=YsB9An$+W{KKV}wn=$n zmrc)yZnDUk0?Dn}IJgpMw*Msqp4s-}Dr5fN($BBwf$n@D=P&2K8mwx%?Kb26X=IQ< z^1$}X+eOHuzW^D{1#&2jp02xH2|Hk;2*GsmbbV2Rk&;EkabNy$< z&EJpyG8E(rUT$Bh0@>py7u`M9Q&AaR1y zC#rux`gss!K9I|qEXS{^|K@&0x1YU}-`Z#8zY21f`^X=;VbcYR?|RFqzjkr+=XRmT z&sT%*H9)RsIsc0B5AXltfB(+gZ=&N@t^eyF_mg{+KSPY0_E!G7SH7@2;JyoyQC|OX zJ+9vm(So`x(Xm~ z=gA_{?(wo2;sfLTmGq1F1+`x;m)8FR>D3#be$SY{(*ENn(A^H?^(@EF zuwS099>3fSx?6xT_J{d1ZhzSV$piPFy!~tYzZDtX2ITcG{fGP85cB*+at75u=dbNI zC_V9mn2;;@`zt^GcOt`uK+Z?cpK<-`_J0@X?gnx@lj9%wUw%DN|Er&Wg6hw&{Ch{Q z<-Zr@z7NR2n}4gl&o2)^;75Sm|73_xTW%aPK4+)#{M}nnITzvJVIa2?IevHN&&=_k zo(}e=P(R^HCf;4&;7P&L8&MePh4f zJB;yjN00t7&@Bd<`cs#88S8Jf|Npzn&-JI<&l8Y)36T2;5CC{5)U% z{2r8^`wy+Zry%#UKvVzY9&2><&-d&$-rsc)NNzoigJ*!;PUZL?_Rp`!Z~wgf`_BHK zgWS&pxt=VcE`MyiKhMJT;Qbf3pZMD!*PpKc7a{iwAh$E=fBw0A&aj4C?e@5@V3eTK zmvHbpU5Lg=Uoq}P`FpR*cm49qNWT=wpZ{v?NW=TLZcg58jK6vcViVMUx&EkLENdAu zdW|xS#z-#_LI2I?74-b;D@eZ_$n`Ak_x99{SFB%eJioN}#=ozEt`f-Yl*V7H_p$xx z@(0x)FPHY;LFsw9;%|SPe&4m9H=y^Gd(^)izn%5UN$b-$^7R+iV1eX;$KQVTw+b1p z0rLJ&@}KW4zF*0aB$^~dW!{`yOTds3RHjg)p)bFGMUwY5vhi znjNwosh{BKyna-u+aVy)*D=oNKGB6lt7ETU|I+eg;g;hOqO*kJtIt*bS zzWV+P2Ra2$fgB+*_lK5irsUKU?y{%@Q^akzI=}kfeZ?mXd6IFzF7788=`iNl<(aG&${&clTt*%g++2iSXV4sJ!$K>E0ewQ zP&$RsON8`8NbQNvwS1-SI8oQvME9rlM)|9H3PJvcLS3hPLTb58t9rQZS6`aHvZscE z^CLZm#IPIM%D=|QkNjR(G+Xgm>iAOP9}>?@?{rMRuhNmO36SK<6ybg~RhKnN7iq6| za{k1jXOEYEjZh!t=XL(dE_D8u`=k7*d|FPWm#}c6Et;P}=?E#`Oz~7w{{5{F4~rqU z|9V)*{nN#hO?u0}2BO2LmouI{ob1pNqs|;SyW!6IqW43W9sST{siKejOGCTR`crc0 zbJcD_;#~Jf*9l1;vhO6J=yf?<@ykfxlrC03@Ahvk|H8tpo;Snd>Lnj<3axD%Q(sDs zu%LXEd|D30KQ@1LJ=3!@rQcM@OY}y$BC+*8=a-BRbBh`wp9ZLJvJ*2OvTG_owHKgq8ur| zZpe;5|0RouWcPelpPyplf05iu!a+kIAHT`xx9jeC>h*Vb@b&MOe*aA4sx;73e(E$? z)ZFuAziyj1@%OJ*A8-6h{OI|N&tKQrS$KYHg!~os_UNg+se9y)emSzpcd`Xi1b%)XJt;b}XB}@$^OmFsm5#<0vGe!w@+Uh1orss7*DLw! z;PW56{CfU^?3mCmewgdOUEK2X@{|9wtaK>i2p}(Kn&@=x*cVIQc-QVp3Ul#f&;H0R zTi`y`qdKMW$Gi5SjDDn`(=ZMi1IeD%X^p*b@zS*)?p|%If9NleJh1(7`|jw`XCR}d zKyH5_QR#%=?_O{7>pFg|3FtC`y#31ZfAzsZ#RYE~&#&>%e{#KK39t)XeqR67Z(CL~ zWYnB8jK<2LLY*f5{7HUJUvT~F_#tYygnsRpmtQ}B6CI%+yYkXeV|pdDR^ z#!BfYYx(*a(mSD_{(1Y`ckQP=^mTZ&-n?TS|Hu19?LSFwLO=O=`?UnIAUeWe^xFRs z9bvrm9U(|ppxOSdmR}7lxbOwv@#~SG>jX>%Dv-}__JSwAzUE0|{fi#IlH7!T^7DMV z31ZV32VH=?oyql!e-Zyldlx4A#oyaU6M>6kJ^xSR!jo{H>q+{*_ji4s{LF5?{wi|3N8bx{ zy@6a$$)Z=c&2v}&US+fXIWklrxflOS^6~Mfj6cKrYc5wikDls{Fj)P?-~M>JYU}au zgM!cmuj&88m%P+?{RLGq-+!X=_r*a!Am>AV#*E+35=2ksCiE*mx2yR5FQ+HDEbpK{ z1mg8nV^@{_aar1et;Y8&^!SbBCJZKj$SeN<@Er&=?PuI?Yrbu1 z&Er5f5|{*3AnnKfRmRN!sOy$B0td$fIe((Bz3=}frT1 zWOsyq_Q%Jcy8jphekTCA|B&;wwY>dMxe5Ks&)b!5zbB*IrvthFNEYMd^6P;G-y7>k zwEo9}?i3&cx&CtD=W~x)Q@O)<|D7!;9m!1?On&V@PDMtiQHIeNISSAJ>y7W<#6N$* z+hte~8!*Q(V0M=PR^gX?_b|G)<6IK<5w=1mVX@NE&-+h70C6c%|AN5 z`_>=%_$Mm)GQ0%SA+$kWO3%h%g0i;w!k zSbwYMKd9ab{pz2WOSiv5@SP6i<3AbyzWBHN>${li*L3{RM9@tJ@_7d7|J`*8%Z>g= z&!0{LT@jFv-=zO@f9Cize*5<;Kk1FoPk&r5+WyXh+|z)({$%`yPy8m5TT^f_70Ac$ zVek7vJYUV916x;!&$)mtucPk{XglA&`*E7{}Owpe^>J- zxe0^Guj}u8$o&+Mj}vA8HDK1~SIymSlYddk3cc~?1)#ea$n`J3Up6@Nw4aw%+4P*} zCKIO#B)2Za!9_ssf299y?KHsU#`vZ7tUr%H?yG>@&&c_!(tCee`Nt=Af82MW@)SX* zm*C(EAh&brzaKb%zcnj%8uO3cJ^D*QHwVb|9~MRK^W!#S{HgVK8R#wta{s5tU%XuL zw;%48;mSem zyk6p;zw-0nBsZa-{M;|-`Y(svH&cP4G15&$T8x|B_3h1e7k2#wL8n*a;5s1JlZ@Y- zw`j$7>r*5CptDDR4d|`~GKh2$5ufjmQ93F&p{zJAuXMOG? zn~mqs96|EmfP))>yq+-sZPniI_bhiT9o!xPgDaDJuTqHqhM-ob1m$~TPXf4%a?T z`JYBXUI3co5AnwNKTlk}$&b;$9VKFf$n7>=Of>LqWyCF%k=0; zZbCo#xmRlm8Xay$UqTZ(;utZkO2} zJ;_ZNulz(u=ts}}s&0SFA@^z^FTb3Bnf}wyE&9F7-yg{D_aM3T8V=q7^7fl7tbxw= zW0TAutXA;>BqFTa!@;}2f{ zdi^5tCG_LZ>o42mPjrNS^nT@k6LPNs^6|Uwf6{SZK_@|{#FsD_f33f@$mne#*ORm# z#6LGAhAwsxbh-`)Zvnad^7-9o{6_j9xe5K`_p5)RBlM#ueoD;v?T@$1b^^t<79577 zq6^KiAD_V6h9s(sF7=XBq2g)xQ}J-aelg-Xf3rVxwxPJ@M_X|t`Kf=U`lRdTc}VnH zw)?ml=hYR8J{j?=NjSH}y-Tlo8_bQn*U&Toqs*(!_N+MJfu-Shm4o={xKfp# zu7|{Va<{3wCWXb;FUwC@w>Ta0G=aXgUN)B1`(tsBbkF{johJ!DeJMT^XWtO{nf0&b z=+)-3A3OJIMvb9`;7Aoi$U&>(h-u~(mCnD)MH3Y zIHesu=zgXb_x$yW5%SNBm)7Y>AEbAM zqz9d^`W`?N!(Zrp6y3gyw>^Eo@iYHx@wVwQ-uAtic-!}a#M_>y6cMxE?k?wR6>WaC zzruY5=X&$CNw`ky9qC+MP7|xo+_@s>=xTdzH2t_K9zD%Zw8ecsu9VMfy>s7xYsMG$ zDbe(id_kwlIA{#y{N?xl?`?8RgH=^_77;iY$rW@;{8Dj&@>8dBzXCVjcfIkxv5!Yj z<3oB*s7D#QD90l{<84Yt=|i|ca^O@b{NI1x=X%XTx%B>;VHBA3s7{l`62vR>>w3LY z8tC|V92dRsdM`ER`}KSm8+^(Wzwt8JiORXX00%GLwh=Dy`qS~=Walaw`KjRX#)*#C zdAqPY`Gc09^VjqlD0g$8@)v)5Nxy%l?eJZ1-vo5cfD9sigh0Fqx1Uym(q-bHDP4$0 z=X;-c-s0s?RR6mCd#69|xg_v>0hgcpFU#AfyiIhuy<=N+!g?d#KDv4ScYmZk5Xjq^ zjQ7cD+U}EUKQ`Krj(2Vex&u6((FZ+*I$Le5w~GILC9i)PZ&+3&h*B<|weN^;yaiXBpb~rc;*nn=hm?6Th|M}Wj@2B?*KNRV6fHWRZr}8<`Cte-N z1N#qd7xDWa-u~i$-@^Ip`a2v28M(*u%lXP%mfw6^k8O5WDzJ-VJpa`J*N+66_FJ{_ z%QhFix6Su`%@LsM2&D0xIt_d4jm+{>d4k%%pZx`;Cw@vUU4NY*cP@~D-0w3yKdWoK z*~WgWQTu&%2EhOzxBoP8-8rwlSb4%H#`}h2JpFe8U4I}ir?g-9x54;cgWhk7>a_>x zlYk23dY`oy4}JB*w~Y1vM+r*S4F}!n0>hr(_o}&Edc9vz{d2jr{|HL&SARVrZ$BWn zGr3>FuA1512EP&Wy#>mz7wGx|P5+}V`@ioczt#uzy#2`fTcg&y@ar7~l3PdPpf`}@ zQl~Ue^1r`ch5Lne0>w?(|6&5$bBOdDNczkAKk~kSKR@a5`#>miFex+|o%I^-ui6-Y zw#9YJ8l)0>iM`zKffFYx)DI`KWY3M`@JM2Pq_UD?LW9(>-H0r zp6f3pNd8ecI04A*FC-QsUYYAfua_JRx-pbtG|KiH`HTJ|sQkQN(d{QFJ#QBs1c@1x zp6gHB-$}@5GLYAk-0%6SZh6Ny{?exLrJJl$k6%v)T@jG$U%oFs^o|C{?%ZnAbGk~V z$6sSXmk;EAPCox)zq=N=?}D5cBYmEN>*IjDpOfE<+U9OpX^cPg{K2W9%L8)xWxU6^ zFUc3HMQL3aj_>tD_vH%hsqP&r1wdYZa{M>v%XQ5gJ!gDxPw!U{RR7#Ab^DzF zzLS8woN~R;Uwkj95OfoPoR8jbiMOlTv)^n`{c*h{TL0Sq&w}2j0U5}6mvNWh(RE#` z&-wFTWPqS_Q*ba9$lI@M|5$IuuV)J+58Qru`Qx9z;PfGn|8xj41IWi2@_R+{Yq4`z zZa3z?`*`$wSAUv+G5F2`ayym&cVMfpw)gnZcz<=2=l@GUR|e$$q?~{Gi}x?3pqmNg z?I*)~e&qSaA1}f6s@s21{Uz$ZIlb2Z*(mopdn~_Puj=}r4~_Z1M8|KI06Xhk9Lxst z`j_p;XT3U=C#e2-zWdI9oDaFL1d?3pRF2=rwORj<@NS#@ynB7&1cBt%1vr=sOr;wx zW+2}4d*AWLg-Cw|kUu}j_a9d{1K6*O@rSnGi$Hf7kU^xksFb^gYo{Poj~%v^ncoZE9<@`1JPp%j3zxIy*zLWnd$orc*qK6BP#w>(7ga;;OrOn#1X$8vFS6L z-V-SL(H{S6KyWvZx8F1|uI9a4hBo?)?^jkiQXsi?Ee>u1@_LfbkM;I@`-NuPjPb+K z9{qKoTL9#CmLaa|Qe8IXqFsjn(C?qF2VDh_kKbkg?f%|2`Y-+d_6E@12xJiHDI)k@ z5x2|u=g+xb;Y`!Cu4QGQ-8@jpLt`QtA?_aA!vc|YWS0?6Bs zwEy|r?{9L$Ryz~-U5NDe{PzR6{uq$+(a)c0(ezRAqKk0-Q6L{DlmCp}FOl@|Am|&>1zIv`_=Y>QUvuse*A;d^Lowk_%DGV&yzsWDEnV)kh8L60?7kE|MK>y$8XD!Q6*&pmw!2A-QdX_eIVE0-u2Dp$F+XPZX12s z(%*Z34cAuzP5)sHOdkLCm8leTm0jJ{ny5P?*z#Mw?D4`EJ5^Zaj*`UN;h1T@~?H)AFYp>f1_kU^~e2+_CIeS zqql*)pOxePFV%iey#H$_;^ptx{({QS+m+T|P zMYlWNy>Rx_x+wQQJUys#RNIe#J#*-Bol->K^*{Dm|0D5F#&U-w#QhQpbjx=-=8b&*czYq>u3X%@+1*H(5`2#TlX@#mC3 z={1aYN#~iq@vV=K{5bWE#T2)i>czFI`1tyQ;Q4Rik~zmUHmx zyr=JL)>uq9YutCYv9V}E3dS0}y=P>&eXLjgv2se~r-&sho|CdZ6p3el(v%=a?p7TOEV06(dnPteCm|N&t{0%N{>Id z!><|QldaCr&{xd9!C|qvqI=NfIe4xCjNx!(1TyP&_3Ib zIDNs-9sg_b(P=V1dSgs{^u{3Z(Pt^e#l%NnC%;0nqh5{u9qucLjgM}O`^hX_jlFv9 z@6UX;^(&j+L%X-DiUcL2acep*(78HI7GHj_=H30OzDs`(G3fY|KX-Kz5Z9t{H{IvsFgZU^%hz|Oq96@{ zbgoX5MGJR+>0{sbb2J{O`DdYwaH(Ubq&+xaPP{1Ev0FbVoG z`8UG#Fp%4CNT|!zHm9d?#os4Cw@Y3A49I;Xkhfp?eS&LF+HdC}+wIA???Tl2mL|B~ z0m$n~zTa(q${{JEKee-?=_AK_&u8@B<51k^dP)=3J2RKwap@Kw-zE3sqw+Kb9pz8< zs4io?P`uID&rSP}W}rU^NcpPM4AIH8|24+^LNAYhbI@f08HnM+a{Z4PAEo_I3lQuN z%ZG$)ea@U$NPkU)1p}LG6dv zi?*Nk;Cncb*K=4D*Yfep5sOkFMgcx_vjOCzg(}{|8|1hC;G@QHmtfk|MySr zA-J#LG_U{ZjO&AeX8XyyH`HV7q^*2?Smh{>z6}_ zad0${`+2GVS$|&E;KnsZ|E2A>8|aP#@^&ui@qGc_uj}(B;=Y3R zf=+wjpeK;m6WP!Ieta<3OSV996YhV5`X8=W?f?2fkYj+{|H=4(yM9}^;E+v5d_Y&v ze*1!M02L@2o&D%nyu0(4dT$!>VS0UZKcw#u;mGJXAh&baX=Ii0{I9=HmJ7OL zfoA_f`{8o?=^&8&Z}UIAU)26TsQ!4n*6r_j6l5fjr<3;Y{@yp%H+91G#Gn61DF)UF zK<>Zf`arC2=Kf#%ztNx@1LV+GsB?3Dpk7}URDaz5vXO7_@^inU?KdcYKl+nY0j*Pj zTu*ZT?ygR!=XU?drsrfgS!94fa_eLqj0JN0&p^7``+oUU$UOq)NfZ*s$(clFB>#9E6acxOq;$2{ehVS@ zL?Ev}+5Qk8#@nTi?+@xfxLqacze%r_RRp;w1G)dv@sYe<;-CNE&#&m$CC{Mc=lz;~ zew_lj9|3YXGep(lyC1E;<2$<)_g%=E$6+$T~hFl@%+(KP_h{~ zCN&e&Qgy$c4zVu!+c>VEmkzAHV^)eIkr&7UOl=G*he_WQfV42~6I|@pcsQr{7 zqgj+;G|KTa#nCXppJAt37`p)RTg&;OT_0RnW@|BrffQ+u93>nJxz0P*fqjvGb&qVivid@cv__9OkrVa^9`-!4hkN>U!-FzVDBkK?22ksZL1(I8HaWD_a#|dQTwRij!wElR%yzlC-9D2JN z$n9V1-~D|WV}D4#m-gQR`C8UB$mm)iufN*w|AW>aw`;OX%en#Oz8T0s#+QiANq1a+ z;TJqU(;6r!-HkY?0P^vde13M;ANBgg82@PfCo2B}@VyDh#|a^!F0VH1hx}Ub@e|jd z_CG=8=l+l6vaDMm_X9wl4)$ODvC)6)^$WLx?tY+Yzsmo85Yzuqd2R#U-9X-d$?p@~ zHC?^|de?Y=qo1E{2i;vj?k8nAk9JnxK5aaI=LjUX?!dvFbRim@@AKjPBlkb?kAJDW zD*Ht1FMj*s@@xOO5aqoO$n_T%OWgU7?S}p8_`Z8UcQ26Jk9>dO^Zpje1N+ZJ^_N5p zU5sCUiSp<4+W#$rTn_@d{wbZgKY+I1pzYs}|3l#WFp$I1!rH9%W9D+{@k>zt{JA_^ z5TBs*Tz=ht9z{k=fTsOr9i2ID^{>0^9>mbW$Vq}uAH%^DK<>Y!|8ReQ_{R4v2HoR8 z-v7|};eUVp#r02iX<1LA+^+$XfC}XIX(lb(^+oF{{(bt$iGq?ng@b2-y#A6^y2w|? z^H(o*UD7-ax@Uk~|8o3<{U}ZUN974>e_XCa#}C?mpM%^l?ooa@|Gi?n)u!)P#`9xm zf#lZnICufb+bQ&C)!zBzmmv2tARj-`_w_zE`tNLkm{M|G`TKm0o6-T>t7R6c)ixq0yO zBR3lH)jB?V1?b)YrUDg6`+MO0{no5_kAI)jIz~{kp!(b07i-@@S^Lo+cUjx2tf&BSf&i}r2 zVd2jm-!#Vma$JI6Q2lfM+WyxepSOVAe@Op%x%xgY_e?!JRDK6LC7uiC5+wX`Yu0!Pm(m0Uvq2~v(qmUTkY)^Y!ig0$L9eF10%bcX>D=FUh zU-p-BSLIE&|I=3cCR5yPwe4&J`^D^k8u7`*&oAzj+A+yTn2ddq{mKy%N4USbUis91 zuR1>2a(~1>)k~+YXNr54UH(hPhxJ6(#?;&Qo1cPs#69U>E=>P2ggEFFE>EPMvA;3ZvneNy z>n$TLG#&YwbRm(xX!WG6<4BLxuTr{9F`)Ik{ae3VANzXOM?Pt&$A&m>1SENgp3X@x zbZ!ZE`CF@c2AyTZTk3q?9=NJ{d!MlQX6z-M-npisC^-76-5nM+5RTP;@)MP>fstPr zalDjICiW?&b3!UNwVSY*?EX;R2+3WIcBu7WsUP&j^l84R-$v&vube+mWbc9Vj ze(HM(bWZofi1#MBl91l7+|_p4@0Y%^@JQ6F+%K8-6Smx+&iCeQ(UZJ<+)RnPiWgq_qv?yUf6UjfMZLcWI{xD0cd~cOi~r34%Mh`4 zvBs|H^4PrX_iwVBM_-Rx|4Zo`N8hL8%3iooM{ZWmhrq?dGL$n}scuEYKs+&;AYLCeqW zn*6+FH3Hu-6^LPfk>#`gostFR&+U)Kg~8unas63hU-55(j52{_59%~c^m?Jw!w21F z?vJD6e}a~u+KI}yg8;jP?WY+sqV`GtL|xYLAKd=+`JEM1H*u2^5WT ze-`&NvNq=ZCnal*g9Cy5Ia$iN$MzS0{qgpr+kepd=lav_FAH)XwnzD8|NX#6C!h4) zYcbzfr~D2AT{|Fee{%k<`59#!k9po$zu3d;KeIu1$R6qC{14_o$j_=|s26#1FzDI> zsXtPu^8GRN&-JJ6XYceEzyBkBK}-P*Z2w%Zojv+Pkx>qix4&ehtG)Bz?IHK!KweLN z^6xwQ-@E$P?dJ%{-4V#!f10S=z4^~2LtixJ@AduyLHYB3AxnT=VEf_rr|q{BGAaOa zJ{jVc-_Lyg(DG_qO{gJJo5biMaTFTc;; z;>4j>KKr>%&j%{m7=h$o{BI9j;O#$6R2@6&{m%8b8uQ0JJ^F5->kj1oq+Gv^^$T1t z@xTA(?K08&)AmQtHN7A|AE(sVS#JFCJI4CM_Fnme+Fug#SD^jpQMi6I(6oQc{gB-A z#`>#7^_MNcE@AucgN%j%c|FPZKR2Aa?68Sn80+_kd;I%?t{;$(^X2|#C){$bUHYN1 z{;7vYA5{OmUFrI#b~zaQQ-KO-9%X}J|9XE)5@aCgI3MZ1@chE_)$8B;gKhwjLFHf( z!TJ$y7xC9W*K4*QK6|G>?f(WLqho-)os<6l_v7z*`)%RrZz#%r29QBS*59ZRr+)Ls zZo3(~VSE067_Ohr?&G9V2y6fLy^lS^*xxW}{rqqwJsHUBS?({k<;F4Nb9Nf*|9gA< zb3r!($o;om|2gQx)tmph%@}`n7f9~yk9-_mh(;%Vx|aL@<00=zAaAG1qEm6f{uQY^ zjQE*$f{K}F`x%9dP6G1&NA54W&iQ?8?C+-A|7g&i2;}}(&c|Z>&hyO{NN$b6!3jW~ zPPbp4ul_!B(DHM;3VHm4(sRG6{ZCMOE`R1e<3AR9I|azgnI<0cS^tUTf%{+XfAskM zRAh7-kk?1xC+SSl=EM=G<>i1!8`3kh`>Ri_cxq|>*oQvp5*-Fn9G_^ zpZBTp{m9|o_+>iiW&?RW$^Nt1)aA{lZZziKbo?Qe>uk`Q?Jsic`bB>}wSuo7v-*1c zi$PZc)zwR$~{7>nE^7ku$Pk#~&t*Ddb)n5wq!s58uz=?N9rUp!UP%YA?WUFZ=)a>(9^rZ-gLA zf!u$|_@j#^J^9Mu?e=gI*gu<(JlcSG)lKyLrCoh@!8pJ108^QV0TlJBMd zb^mh@GP)ng?N|2yYrk!=t@%fPDNW{a@WhKaA-0pz;2syJvqv{Z|_D zR}jDd_VYgvAm2qmZa?z*8S|ICT_yVbtox6k<>&p6_P-B7?!`dfex&^`d3fNZTecYM zU-bO{!=QT%$n_-a-~BB$_CM)_>z4J1N?<(-G`-K z$1DHiDEE^<-hQS2W;)-$+G;#MboA(-0NoNGms7T%){X%#ueI}UPeJadfm~0{_m|c8 zA9%aU7D&FA{!7>2Gsx&!Am=0XhyBHQ`%N_dQqQ06o&9P5yLa@u{4b!~FOx!}Q3$cn z{eIC0#{8pxfAb>JzXas%m)gHMf08ALO``G#rB5P;F2=8aPOtU14Ee5R`O`^H5y`sp zfzB;g@b%yFyJ*x-UqRAUK(0SI{t7jC@75#Vj(LAc^sj<$#UANN{~L_?3;q013A*J# z-v3%6g725|cF|TKdBW}QHDvTUkn>3fpW3^B${Ub-C6MYxol5=t%%3CqUg|IY_RsAq zQ^d=k`@i_*uQ{moY84T-VNwux{2 z>cv^+y1zegpW3y2Zg79qwu)!c_f>qB-#)P+vFRP>_k%|dJsa_hAwk!boMh+K_AzqT z(8mYWRrez)piA=7D>`%kP}&c*9`T)r z6YGhbC+=B##SbCz=}(J#F56w#H~!S!ZL)WL$Q4FBUp+%kOB~u_M&aE9Q-!;HxOqd| zC%a2Sd{-*s4En1YydjShw6dk3X7xL zSHJOIqp-+ZcHYllz9-{8Wi6a_X?@RrySp24n)MYHZg}V-^E&B|Wp4>OEZ??}Y2EpnZNDf!DIr8_)q4}wHsn022g(UyJi{Bjb?yW=q zYw?>6W&Gy)nE1{0LE<+DDTP=`Kn2NStm9xN)Y#SR`niHmDgFMq!29_cyVuvxe|>i& z*{>0SgO#TVI;C+*CN4Cf8!k$Jc*WWmznr$!`2Na3Z~UB$^o@Wdk2-XX|ao z_e(52|5O)r=|IX)osvIZYP>(}U^9j~at61IWus<6v|C%@Rodw>`i3l|NDaH$_330jWKzQ@MWU%MT7JE_l;;|JF_* zdEoN%_S4FvZ;p&w0Lh=IQ_{aVe-ifmPtfuwYX5%vZwa}N0&+hh;|JQ__~Nbd`+c2o z--W34QwQLBdm#6}$s%jqVOKtLK$YD#nm#gI&}l0iw5AITyNQtxcl!RK&ptEePqhCG zsz1N-9|(SJfM)$|82sEX*AD&2SU=TWkeEUF^LDBIUluYtlroG)ag1{^JnH-44k0Ec@SD{{Alqavug{P&w55emrki zy8jPqf82j%3E~r!-mm=}j*Pkhx&M&g-}q_jp;N!yV2uCt`=<_|JAwp?M*02l%HQ&@ z?^3+VT3&`7v9RFkgix3gG*jCVK z4;=Ia?z#SI@Auz>>W}M1kN=NGxoHBG_a8ETR_;EMbNY|Q^OKH0><#*UK<+2x`a`+< z{3q9bY^+~w=Z$~*fUYl)*AqRznfnJOx_^i+e^C8#`-{K*aC&XO0_7eEH6bf0Fc*ThPVGV=dZ^fLCeqUHTd%%$;s(yJ}3C|8}Gj~{V`y0E|9lh`Tdx$ zBA?xVK(+lS3F2V5M9}GA9OMHzpJY)z_l#3!9Q?IS_U$GUrwAmshT!0IAa7?GV)fDw zFF5eYFKrrUs$@ev`yUFr(}46muTC>Wb}< zn!c5H8^F+l>CVlb~cl?T71C+uyOsXcW-2-^%MZ$uEGtWvt)S z{^K~%jRbN#m+N<&>7zC)4gZrZklY%9gX4jG{36%CVf_!6U$@_&<)`{mY~pV}yj+%m zxPhNvxn0KZ|G4~`{}>2z5|H=*(tpd{w_Z5#EyI3v|8WB7P6YD$4}0H#;p4LS$G_Y! zBwBu5|0hH4v3rzXK0gnvTG=J%S!4Z$w%?%k!|g9yfStGR?5ViG)6x7x?R|a=T7EzK zKLh1H6Ugl+S-6)YJB<0CEOlMp49cJDRo8!>%fPb60lA&Y^%vMbnbT|k7nHwW`wL3X z^{3?@54ooRIiEBUzOQD{Y0qx6vvA*qNUosM0vt>P^7aq?TdR%uwLTvG1ke=%IoL>N zj=%r@@gLWV1-UG15(GXA$j7fT-HVO^JQOp2M)H{bTe+Rc@w3nT1ZILFtK~ zk~{wXi;rtM3M&6p9GpWJqEQSI;>k~6zW&YahW+UGKhuzYI*{AB?0;T(GHv*r4~+S{ z_~#FKzPkQrfNv>~*S}nU>&73f_pSe8(3Jog$nl#xuf6s^69Sh3xt(Nq@^ii9;CgWX z%f~ORJo;JSdp3~QljPsV8GyWP?0*%%|K<7W`VZQEIKB42dq=P3pN(=~3gr5i-{0yy z_V#Pmd|^{Nag#*~1(I9m;oxFmD&25V&L7WzqfWo`elg~sI}1v7J`OGd@_Lf*U)=Hc z=Z5~X1(JLFw_b<~y#J8vhcW(6RDWDA@z)=xkKg}s`StiSf^uI%3Srn)sMFZ}pD9^T z`{DA(Z-2aAwf$WNL7oEga?1Fvp&xHae{j1^{k)rOT!HuedO7H>0y2=#pOphYvN6+yAx5=msFylN^7zzYT`})ZcHp4s_Q8 zQ-BI&{3_OOaQo5zBT@N-((`)J?f*u|TLI+#y#M!)shC0e`{_R@Js($V`EPiNH0kp4~}=P#e%%bfV3 zWrqFe_}^PWM{$rb?H}L&vP(dqWL zcl@>g3`)=KKPztex&3MW3!#W7fPDT!em`c!D*J^_+l=?8{XP4+2XyxXx&M>jj~jgP z)Oeoz~v=?N`cQII{h*OV=Com+{vh*PrhHg8DyBul4^lY#=56>d~b3krqH2=NDX#brA zu?bp!Zr8g1c^(_74SAMTg*{MQShdlAU>oGjGk+8aOjGUQ$g4^;wj_(dwY-nTF|Wnaz97?@BjY$N3NIn``?DpkAiN3 zPW|I&*9VH9b@Rz;AWH7}yluF7l2~@d4=vYBsj)xn<$Sk|_DTK0ZuZo5b2?1;-hOG< zy;pU7soGZi^?h%v_$nRm+SUCL9oaddMRFUMjB{x(>Iba0k8~L(;hgAGaIVu&e&_yS zH@2%QHXPJ_`MHPhC)EC`b&)Pp^j-gBpY=ZyALJwBYgK&jen?0CJ@Kiw-OqnbBz|-~ zB;3#1?I8YyVc~|=4X>k?eYEood{WyCxke{B*+&lhsvM! z^GrqDGx>*f(9t=`nd!w9^L<}Uc|u~<)O9PTu1gogAN;)kx4+jH2e}*SreMFzWat5U zmHVfXJi8q;*_Dd@B|G1+LyEejiOMc1gvB6*)x>iqeW27Nr+88c`I^O)6@fTc;>vh$6GBq9#Kq6tyUGL{Zb> zOCRsQ|9>^!c56($?baaiwwIzrd|Z|$b~*j-vY+f4DzS^_dgJ9JTt5QH$7OQAJ$JtU zJG-3GPZ4xV=~L)JG|G61UMm|9IBm+ezR%mqNKbO7M$=pJdBvSC{?d3~tKYW=9dGjS zGWo6G@B68oN<3;GdcV|c$W7%@r|?rFKIiX?tdXAn>G|Ry&~rVeiR$^!u1MSQvGKic zy6ivcwW=-YU!YB3}hhp zo2|n4y7)X^2jm;OUn);W{gnB~hNKv8)^UWeb_c*l5O+fg8e)f@*cfV}?6{+1g4 zE6bw~sz1N-2c_r!OZ(53kh?XI^GOyPT>CfYd-Z(T0ibIIWZ=D*G}nv8A8*Fxr*Tkl z|IN##?I)=IxczGWZBXDWAm>BlmfAbtAGG|uU(@~H!6&H%Ly3SX{>kD z?XNB94h1rB-d9gL{i@{d?-}i{y`Xf5;Gi9l`>ABH5cbQjYx@sce!uz;O3&?A`~Mus zeHf7UzqNn8#o>^<126@sK(3c@$B)|#{}=yyAFe-be?j%n+of**9U<=!Ag^cnzVfu| z@2Yda=k^)V<;of_==4Y&^r8#VDEIrg?(3zWe&6K-oBV`(+w+T-)d}f)0=b;>eY?9~ z#2d!@CjGsb&Y3vWNV{-~C; z23>C;A3xRDotCbB^sO&88ulmsGJZkz$K}`h?}L2$0(n0p?Z+oxD_;J*{xtu7$Osdw z7T2HT@6NNnV)Q?qMPmH5|DlZfQ-;y#d~d=1J?{Jb5>)@ZUFINP%Nn26z&`}v=t5cnJ*PnRZ&rzGVzt@w<``&uV^^9RE~ zHymiTpR8_U9;iF(W1IR3H(BLKf#iYxFPAIi(dQzgiIib9lK$oQVyK^0xApwTu}FV% zG#wo~&)EwSAosJf{T6N?{%gv+#`v?lM<2BQc>U|~+wtIg z0+9PpxnD>A=z-l1S!v9l==CBaK{sZP^iqCzzit2boufcE8p!3;{WrgE2_z3(|J*NV z{}oh!iPH0WZRg2TOj%NvaGr>?)C@+Yc4Kl-td`xGGe)AD;kYd_pwQ*Vo5 zzx%HLITd_qe9QSK3w3*g(f@bCb;~*p^rr)PJ?Zt<+<(OHe-pJIu7Cafa3DO z+Yi~_I4GnG(I}svYWw#NCPCgZpsBxwPdxU?A#(maBf4DH(O&;ugzM9QG@q|d<@f5U z+J60V-bSPScNIu(O~%1lbRin${H2BU^1S}yw;x`Ay8oX7ep7+mf9QBQ-v0IXA``Wr zp!9zJV>;xX3FQ5Uw10Q~#OucRTklsm19YW8UQXG5v0ow2H%B13Rg8lYAlILycYo&l z1KoZSE&ty|&)Y>?lq>Q1+gVCM*4aSrr=|YpIWG{`8~y*^KmW(ukM{rPLhcKJJY9xZ zIO*vxXFj{r=zov${Kst2owrAN8E@F8%#oL zE)Xxq>Eri5e(g7?{qlCH`>%^2?$oD@!@sgy^p!(gTsBA@@~4?muNcyZ-alg#D)< z|Df{o_N)EJ)sXupAm=0P@5Acf3a)v_*za7Azpeq@wR@zO_T&D{=btXP9=!kJenIy? z*C__p^*~n+s?c(Oo^`h(l2JpQR7-PSi?PJxAnigU(E6NFN7fX0eSx?zt`xl-}>3`zuN!b z1G;;G=JP{jrSk%Dow46}NFe#&R(@`OvR}dPe&7RiAsXfQQJvP__WvN{eFVt;XR@gL zY1rLA4g1uHm+pshS=K|Kdl<-{6GMXPkGIR(^ZfiMq1(GLh|4$&JB|vWHG=7MUm!xz- z{Wq_FJ^pzTe4hex`=kD+_O_p(OEGxOfr z!Qa0|H2>E?_d1aGKhl1uTr~Fnw6Bf!(?uY8VEMWK(&N_^$mk6q_tWzI5uSgzT^|p1)iRz8iqNo+N+t|EajIK#$+o z;rd(bK2D;>e_Suxe}2U~z# zPWin8eD9X)RX=|PEkCb6J$?yF&&#FTUr_o){m+Te=0BJuKcI{`~Al| zf3}Jr{=-)Lt^SJm@Lz1G6Z!sR%R!|4qqunaUP1kEpX`Z{%IE0`al(Ist`6w*{pY7S zk?X{l(osH?FJVdyy%ML|KEMsAO%_+)`TqPn->(BbBqKfLNBhYB1M*P57UFeDpCn(V z_~6<3H=J>MNZ51VP2RCM8R_a^|70o;@k#QLkMh%U(Eh`;&$KFs1$|LDb$Yt*VubP| zH07ptN_If!Au(cxv%_(!n0a=CS6eoz4|%~SQXg^2sluuC8`{$Su$VX3`PCC2NbSzQ zllaEwujHirq!(R|XParAPZZdDKU#i3`9mw)w;Ue|-Nhjf&O_)z}DFV^lAHou{Mh=Wa=Y7pk03fNhu=QWC4E!3+*eHX zQEmTlO3z!e?{19mbC6y$MVb4-5R#Mf4`ILY49Jy%bd+BvzJEdKNk4RM)^8Z~6x+@Y z?(l23*Gijs-+NH{qo!Mb+i~m}DeFM3l^{SZo`c*;V>!&M4 zS$rNJ@%7jIVtWwOIKqj&${fak9JqvwEn}rJ+4SlG8*@#-~#6_#{vD$ zd+vvhJNWx;tG`E2<1tQ$%;flb;f22*UOM+-V|__ikACmQS6+V}czz%aA}Q$N@u%m$ zRNQaC($(0zq^rI0nN;2|L?$~>r!u|~-(w{GsOx%t z3hA{G=t-YMuW+?7zn&$K+>5VI#|6$`+TR|ZFKf^HiJn(m27gT0?Igee@TRUv=Bj>l0&sc?|Sw zSqFmdARzfOby{OrHlMU?_OI)0vU7Fa7D#Tj!9f;~`*E6Ie9?G6uIoRj{HmLbKNeoE+J7F7@^*+W zw|6{1sKeOt3nfXk{({nT{}F;*!Tmp{w>MQxZBc)Mh>mAS^pLp;?Z{k zT~{D)fAam-{mue`^~U%|`;X3`>jLEcuig)h=bP!Z-=O;A{zv=Yp!9zJCn&ui|L!RF zU?2ne-QBG0kv+HH`l(Ih40T`c2ipS#eStI{SEq9P`q;h49v#}s*JsLnk=*Ku0~+6O zJjL#>1=7MfCkhgQW zpUA_dy_4VC>AODQSkN60J1?zP$ZK+-P5e`^169Oy;>P5-Sf*WUGIBO&)FpxJ*H z!+v=Cjlciq^^$1&)9q&rW1uw_Wvj2`dFaZ{v+sr zxm~sslwDB&$Me4~2bQ~R%pkb4r4`yZ@hsN86b|2m;u!Ji-f_!oii6d zxu2JIit#6Ze%Ir-MD-Vxp4(5hfVkFF983dJxzwq&AAH||*MI!uf1a<@3w}Z6=k(hC zW+0#Yf!t5Y{ahO@KK8ijyX`V!=-|Rh-uS5)*XIB^A31-x>6Z0Ro$!U-ANO4lV+Ea- z;Gh&}+V7I9ue|5J-P>)NXLggxc_}2{%lU8ZKW8GN3xK?zlj}pfy)@^_nvab2aeDrg z^m0Dvc|E6z4Q_zfHe>!?&wtDU-MK(+XLA0;eg6E=h!51`$Fo6q4v@D$s^{9D=eNF+%9XhP3fg{ny~f}E{OB)4xg$XC=j8MIWM@M^^ZS5${`w-&T@2*)FV|Og za~?pJ81~n}YrjFu&*f?_z%Fq6<9nYB;mba=55s*0#|t_QTK}BCuD^N6=sqC#pBbWf z`Dcg!Agb&fV(4IGglB*Aas4J>Do}wO|KFXJH0$6`>~_)DBgYCly%Gmk137(-o#l=n z%zWzR=*5BUgU)$d`ko!g;*MG7Q4?P^7RVarpF#D{?N8hPJt+6RKnBkH^L-Sbmc%lS-+p+z$QG1c z(DHNs`uXDlWb_!2*T0OpjGSd>--^qe_@UB#!rufZW)l*zkGfw={`NV>J#Jr{V^W>6QFwv$mNvpKYpv} zdhEZp8RG}-|CfO7Ng!`0Y2JRoX8Wgd2CaWyE?xgY>4~2bQ;)x%hTJaz8OZtb$XCt+ z*lk99uAV=C1_aLnQ&|Sme^1XlWm)dq#`Al7LCJ#3&;5tCpXZR#^FXeD$-lMJfiE}S zf9m}Og7W8fk!b&|_5UK|UJB&TfAamE`}|sEd|zCb|0U494CMN!_FsG7pCzjQS5WTd zKnAq_RIWeceo_1XS3yw82yx=>}zrRVl0v_Z?y^%sBnIlXRwLHVb%a_Q%1 z|M<>T!Q(qmY=C_->tY|x8hf@Iz~;#*6#Ht#bJoH6Pc~gwXkkCyWZaL9e^cp5|AdzK z>g%f>+WbL1(QL(MspCuQf}ZvRPQtlPukxY&fvG-7UP@Pu{gzY2L6?UIgbt$pcPTw# z2ysfpHwFCa0skL+?*U#_vAqv(VhD#2$VrHRh!P_uAY$m9J@lr4qJj!Yu>=rA6b0)+ z6v2v$4HZ!o#ft(~M9?785kfD5(p10}du;c9bN0MzPu3jH-#Iz?Y3_Z#^W@39_v~4- z)~s1m_Uu_R4$e<42Y)1rM|^ZTO0ERZna>^3;p|s4>-5+DXv(jxyb+(;&7km(QypAR zv@hI0IkkO2c+}Z< z&uZ7VRRz((`;~_uSOU_abSXVL*EiA+caY~;mMm8G4tuT2NuLy-I*)hqZ%SWXb>1V3KDPBPQG`GdFqvt^HMao~DgHGvF z{K)($fAMq?K6Se4k7?rZ{J|Y>DxZe(h?Gm!&!CtUb}yes>60I1WPBwD=^@fSNN*m7 zDjVlMliZ~D3~@(lxTT?Z6$PVrD1OQLOJ1>~pzc5BFPS3!C3i;nOYXGsm%LsnCcG1 zT+{+md#r8~#Z+&;>`+AeOLkHNbf*Kko)X34W^RM?l0J#rex3rlOdtd4mo)o{@Nc(K ze`*PecPcJw0!c1)tNmT6pHtzb$KU!i$ejh`b}rAeD&_tv#jAgr0@;mwzN8KkIt$3l zpZ3GvVfcIM_11Mk$NCo%PVPsz|G}*{zcTA1!~XSpoovLd2c&V3x=j?$LyDgF|8)eS zTj!tK1-;)mPJJYF29U?2^$wBy>Bh>R>oxZNhqnv5{XY|eGz8K(NZm?*=T7@qHO_w1 zm@kf9e@?s>#8jAD@gy{HMo zdjgYy3Q|PDjz=HU)5W)uJ3=XCb< z*BW#kj!Q57E$cqk?#9ARE{%`9XmY-r^wb7)0?6y1^cO?_L*rx>O~1dj1sx`C9drB_ z&EJIhw*!59Acd=2nnze;d~b{0UxbfqN^bmSTmN~z3{+W*-rTrb-@yEjM z?-=8sECDj>_9I^TdHu`u`JWF#Mgh(Gmp6Cf>UymY8vTC{zyG-abc2DMkIcWf-ttra z{wn=NC_fj1uK#iA<@k5X&}vhLn)|&p6NqlDKVE*?eg+_+izq>cX9?%*bDkVjW3lo6 zE9aH)i`V`xMmm=OlPO^jrT#8b^Orn4_W4WRujB|~GY}VpfV}-6J(b?^*QJnq2#~k` zg>LY^pPpUR{;=`>*FYe8-1ajR35^7D{b_$;UVhoW{SO1(2p}JS$?>n(e(p8;f9f)*Ejy+OOEhU%dVW1lT!O;NnUkw^M2V|C9X()hqk? zOKLBbno6$!x(a%~8p!#`@z=3&zfVrtZnS@T{4g4HV}J}oEkwxM4}GJt-Yxd|TW&wG z>yOiG`x^^^uL1J1B&mC9(6jAuulOw;mzJQ;{8oFE{x-$V6PXIZe zbdkNNWnQ;UKXZR4=Ul)2o(Q@dfxMkBbi22%dFkF6-|_PRL%jr|7qkDN_iD$v2?;#} zjA%cP?q2uq{IB`^OGuC3ZU)_bKt9fw>z#jCUE_t1zi_MIxd(Dyi1c&|!tX8moUVnO zKMHrhO+V-B^_;do{jG>Q3CQ&){cXMTkPaC81-2B#;x=4_fV}=tJvaR|bpK~-zuf+H z{jsGdeL+kCbZ*DRT|nN>BqH9Y#`r~#-zI}@3Xnq!p%!>-kLbTio;yHrCy?tu`gtHk zZ<~MK{%HHPr6+z$%#v$ArXt_>0F!_UWd6PHS8F4_Uy(f15dUr*9z zt?NJWQ*^QCpV#ZmznwpqUzh*=P{e~kt|$5a*I9i(;Nf+A`5yq?bf8)P={!kZf2m#g z`^H~9|Bf%et^ISm(&hIs@;w8{>u)0X>^JN;J7)gT|^ z9s~0JOYYa?jsL%LdHYd%zW>^mAD3UxAI?O+p9FF{Ep!`r=lOnblwW;;=*4V5wEaJY zgq{I%IRj$9x8M9xWByc^-_xL*1?2TFC>G*8B%W^Uf|4;$!ab7V6{EzW}<$K(1#=KXQG-v0*#;eg~m*1fn~0aq%LM=QB|_)xYdC{FZIT ze%Wn(`r_%&@#$Xz-?xFh{gm%NL-S7BnYGzif2RHQ=Yj4mAeUc`AMpO0hUW@e`TBbq z;jaUE{gM2=_HUgre%9+B{sp>Mfn0w1{{G6WQxaONax3Av0=@oWKEhuC^75DC7w`9~ zv0s4RFW*-Gyj|Dx2e$NFuiE|>K<ED6gmK;}q^80OrC(7LT)>i)h z?6?Bat?e(G{O=;6_kia3Dbw``6f~x8=|En(5Oo2j35Yy#DC+pZCl9JogVk zw*tr@)Jizv?P>?SZ;Zcc`29!mQ;`^YsMilf_m|#j@N6qS;HTa-lqd1e0pWw>l5Hl z_`9pJP3ckk)c$6OX;Z^L3U`F^H~igg6<&6Bh}IuF@DuzgB0Y6ZZ-P*KC>=_l_|km> z&J|6-IksgDx^l*SKrA`(+&vAKnCa3zrJo_bOI}crydWU%{!x7PRh1;s#&a+&D^gbE z$iGCSOZg!>M<_q&L~%fRQy1<(L5%SnD9egDlIxM@P5@m(gj|mIqkIK$E-1-G;rgD= z_f&M0PcvQ+@|1_Z>D0l4w`T@!4~p%#OuVW~eh_w(>c?067Epf4K2k+j&ruukgnq8%B6-Ok z=sDRH-IF|#<>( z(Feq1SO5Cx)xV~Tg9pODG||U9pqHMT{^&Z~%!j(KBotEqgYfsSjBqX2BlN*w{IJ~W zxhKp2fqIi>+%h9Ow?b}8ZpGY6xv9N#gS`@R(|VQ3P4A|Xb)4MF-P{6olbg{y_r#tP zt7VP*NBy;zNBC;^H_NA|_bVFD^Y>cm@8P|#ZZhWE^mx~nKi4bSv;Frv(zBAE?B4PH8&cE*hw`Cr zX`GO6%y%~M^Pdblde0+$s9^cNh4~WBKlc5-c>byVu+M+A@iL8rgUAQBAIg8EzXqZ^ zm2i;?Bx5-rv;w?KReG_eHqloTwr=)q!Ns>Q>H|-Fa+7)zlrv zdK2w0R0VWZfehq+4|Ki|uUC4$%eMY=z3BF%8W^4gFYmrKtVo(j3o0`m4xo^QA||BsE=>@m)V(ED4~ z1YJWQ=OgWJPMM`;)3+J(1^RngCg{!t^8QE8mwEnDTcY|4p9Z>GKyIh9{kmvP$11Po z8}{EqAi9%pzu{g}Fy<4dep;_ZU= zH>d-;x{{Qc7+^)3#bD+0oKpID@Te)A!j7cwE^21hR{HyJ^5$Ku%8Hg@I-JAQpXn&2y zAZP;Qb|%{o>@UyTwb;Mc@bQOke~V{-T7S0moWE|rnj_yWfV`X>tk+#`tk?Sc<>%$1 z8cu zZzq5MF0#LDN6>Ww^7coL|Goa_E5qL<_V+(7m+rr9>#tcaA+FN}7rl=wzwH12?Dl2j zyH*?P?c4b8A6-G$4anO$*?+z8asLay{lFN%wHAmTxBYZSLcM@o|B`?0@d+~n?;7Jj z`5hg<9>AW!a`eDM?eEO>UwYP?o(*}=VRGXpue)$wRo~lqyP(&5+1d{uSJQiC{PPdC z{JH(=_M*zij#Qa?$IF5&rmRB*L!-^8Cy3`*ovk9q{}?e!i-6 ziJ;_0;o>SF?`Nf+JH2t>ht(U5^?vnzdfW2n?T0SE(cn7<$n9V13I0}GFLnI<+w$l3 zS1V5Wb^kvWa!&@D?O#r}ruS8H54iN6P5qg>=$|+!p8%Xi^g-L{1*)EF*tQ?)b~f*@{49a*MlF` z4_?ml{UP?F3v*1akhm{o&yy*Z$e+ zkK2{5f420zTpRoOzZv23LQ{bl*|w}S6&K;C|6{quG) z_WIAqZ@Tkhk_MIXq0xG23l z5&kHU>rd`i^U06$go6Y8{YkceL_Y;|cLBMb$nQT5hMlo%@5kKVA=FVIx^?@>%U_Q_ zry`+gK;D1K_OJW6$~R2f!{={G(BI;2@Vy7f<&@*UdF#JUZM@C!7i%vN-8%og{gC}K ze)j?&0P^ya`#ttdd7<^Be8XQ%zE|OQAMkz(D2np?t-8%O=C5@9v$bC?zqa3a>8C^9 zhk?BRm;FzRSF8Q`!rF-McVxd0g6<(8ms8T?d|W=R*X!+V<>%#+Bf!qO{7GI#r^i1t zkkBJQF2A0?;^Q}6e{ALF>Be4uyk2Pgc?@zt1?13D`(vh{=(hRi?V6Tcnev14NCp_JJzu|Ax z(AWQ5(7g!c?VQYil>JV~9&F|3^{<8iJLe@_%mY%o>Q?giex>*O`M;Ea&U_%(Uy2yw zjbD!%>nG!Fzjgh41$1`}@ZCgU&wx*FpCNkdI%!bNM!!oP{mz5Kyd zYAtZz9vyZ>`x*C?e`-e);g3{CpcsJEPXF~es~HF9|8Ymla^m|zEvKIPX<5)GieYlM z*JRJ3dza;U=5I>d;pX68$ev>B{ z=~6tBBOsdZzU<+1nn(A?dhd>()A#fW!2e9s|C}AxB*|3~`Jj9TaPBL`C#2_&*i!cv z`Ijt4Oiz-3TGz1(@pXJZ!&9&6 zwm0nt3eOO|w!PZ<>z?F)l?wTy*;!C1y`>rX(DJKuR4IKz%9lK+^u_(3Wh|xiQ^e$Y zVaH$6XHeYRXjQf0_oCe7xtnR;kM4tl>_+L0>J{bR5f9$kK(;vLan35~OFxfxZmjYH zhP)v&f0d2=>ij4N1FO~1~zwmc0x${!D zboln4J1@18JTLX*2>-i}ZT#=9SBi2HfC}V!kKuYL<#eZ+g5IZ{wG8n0DC0HvpH3*E<;Z@ag8x&8dSRMFq3r*Q%CrF){!KYwcT zoBzGbnE!3<)7y^!_|h5GM+1F;Fll0@6dC)SMd@>rnleWYsUCnpI2!sKi6L!LE_MOH3b2bAKW5d>775Y z%|9*oi$e;l#?jq;NYx)XuCoMn4FYs^Qf_iQulzp+4cr!p=wfRwJf zmHxjabY3G*SJxlg^5f+~{g2~Rf!rqpx&Gw(6RiK@deQ4Qs)DW>kVAVBlBXrlthvf~ z|H~2-uXyt7_s^4%P<5c$er87TAB~ki*T1%ZTlu+N$6kJ%f9&*}KaGDJ=Ts=7CNQG? zg#Nf*V_$#8?T^M$#eM(Q`9BSEHvn=y$@Pof!UyJU;@^*poR^mcx_UqcVgDWEpZX{D zT>Gz{4uV=hu4mbPTq}>ecx0K;|LFN|Tl=B$fnt*-z|N_Si);!gilLUi{AT%4v^uz; z_L-M|Kv4bR`O@}dD?cxn*y|6c*X3`^KbrjYk^eJ*yq%NZKe7J9)E~)X%b(l7Zhvj* ziJuZv>+ej+ode|MC+FXe6i#f~b){i{G_G@;hM+qO$mNvw8>Rjuy7l}w*MIEwpVP-) z{=ELw7bJgUTr>glaxQcSB!4sP(CF{o&P3qhAVIgb<;UgM{Z~^YbTyF6Dg6(|rFXq! z``2zqVi?Ad_TO)Y@PR-Y2dmo@k>BUH1*4W8bDQJ22jW71{7m5&;W@W6d0z4jkEL(B z<_qrsAJXTwwgBCQK(qc7e0{WG_cn*!)9~DbBI}1*BD@cf^Oxt9zSOX8#d(K}?;qO# zyA|lp267N0=d5qWPJw)EUCYx(@CUUh>0dHs>{hkv1Ojs5a7g%>XW+47GjKea18kRZ3ebi6+tGse&Q z`#~4bbp`Trg8a^YBczA~2e%b1emtV=*PhZI056Gdl5Ie#XK)a0k*FaFb zb8&GVkk=o%UvHH4yF_oB|7iAaOV9PE+wb!s$OS;&{!st1)L1_m@Aq@ve%Q(%E&u%? z_W&So=Vkwi`p?HTvA;j^aap|fr|bX4ko%J3%1`<)DB<=~^S9MMw;xSE2y%}Ea{Eaa zV?F!-!Wh4F^y~j%(2W4{_Agxo@BC7p*z%>Zex#{Se<|p$0CGE#?@!@vUt4}+ynpEZ zGlqcfav-n2^1Ki4yWCcz|I_hdXG_oZ8vFRCWa+j2U5Sk30{Q!Ax^PYjHvp0QcaS```A;B)d8pe@TYBQB zl8IM;I{%{}*Hu7X&eVRG>xbiAf2I4s(cn7<$m>r)sNe!)|0pg0Kchdb|FMw!8X)gK zt zwfwh2kOzR=PG$f9s+>Tdan$f%)&7^af$n}F&%gBly8eXMhiw1Un16Bo@k0o7_W-$` z<@`_bPbXY*=2m0?A1iIUS9M1ChFAA~;tpwfLmVdPVV=@w&3gqoC)!%i-{x^F5 z=nl}`1?2WC$3LC-tl9DJ2{$m<4ayMm&VT)4Ve%=dt?_+Y~#@~O{TtBVrZ@l(vOV8^ijVtW?-)QzT9a(+k zxcP4(^6>pXi9Ofj?*|e75RkV&vj3i@&O74uBKG%R-u`O+KMcMzfV}?7{p)aE6sIpa z{n?fu*T1emk3#OpfX6TA(z|};3CR5vkmpl=|GNEOpH6MC&+U!p9*Dt$ZfD}+Ngyvj zDyNb@?~l^8uRq5x7sq)Ta?hm<6~#~!k>|W|`LW;kxIK!7=M5BeI|~;t0L}itz&o$? zfbssV-=CiW-E%-*&*c6m-uQK|;eV7R5Z#%Li)Vp+oR%n5aOvGYX%6Im9>~i{?tc|! z{uR-S+5hVLYg_+$`=i@0TY6rvH2)Wokq?1p`G-cIpK{7MJKau{;V_De1>L@ci+=%4 z{e^a(_tD&1dyV}wI|@X1=HcRHAnzx1`_JuK@4sZ5f1a<{$KTQPHy?7ZpbQm7xldeP z!?)cvea-#f^!W|1ApQqM>F7GtPUIcD^y$-^?20;meid<-6HQSJwHD56?VIknYooFM zL0f=R~{$e1vb7}uO)%c&wRZAec^A;}N2J&`7 zzQ1_C(yRaC)!$6y%fA2RcCFjLca?&iJRpD1k>z*rVp#+7jQs=j`s1abTLxqhYA&4C zVNauyo`2Hi{~j2=59D_8zf=Cv%Fot*c)f50m6I)fy!@lluY@40fXO77hw}UXXM=Y1 zUcHH*m+qV^C|bPouSP;^fV};d^A8n9eDeH9>)dQ&7{(&&zis*RbaMnHw-y)cfIRk4tp_za9x~0CGE#^{3&8yidlg=l*o4b*QehIx~)L2XDR5T3ul z{%c%*-GABYpZ9CJ{oV|QTY$X%mE(_6K7YOqa&HIn_E)Z-!TbTYzkopWf9U-|w|_e! z$Sxq4Q`W!5IrC1N`GGP2*eGWCdA-v7cZ2U9AcIgF;j9UtSH8fo-`Lk*^KqH3f426^ z>!lt)MEC#x*xvv9?qrdF{nd}mEi5Z~)_Y;bc|FUha}#&{>MDKs{Diuvb2tBV)%k$` zMm*9hts67x3f!ZU*6lv?j|BKFI`D)156*XWqMj3bG<@vpkpwZ$TaQo%a*!W*S^u8o z<5=J-e^QF)+duq?6X74306$ipzVeezfd4hoQ$BS%Dqa%g(BTz7Yc^wN-@o>MPk;2L z>ObzmPx4koIvFU33b@ztlpfRkcq;v%p&v?*&imB*RPh6T`dn|OUQ;9Z zQ+cR#%=mOqc1QlVDL5B1)jvm5rBlgI-)rV;MDkO7G7yja-7Djs!bv~GpUQ#sK+h?D z0CrFOG9VYlC%Kb-`IH>=JSg_`%027ZWx5{H^DDd`?bASdpmUT{#Ku-%Jaz5H@?w3v z`xfrqO6d{Od7|Znx9!5v0QOzb&xwyh$FDbLxVk6(n)Dgi{~#T9p!KQBh29%TU!*_z zKI;AGJ|O<^{L9E5>AB{2%B1IBN!pZ#dj8kv=Bo3Tsr)n_#WzD7n_Wr%rHdUE=dQVO zUob*`l8?>{{-x;$Q$=^NsM2=mKKL~_eMy}syW_{lPWs2rlMVZ`Z;$Y2-)`g2PU}Jv zltJRZI#2dc_Ahj3F2X1H^Klfv9-i=VbD~(BHLLP#R~i27vvUQaJ2ZZ)jsUt>w}oy_ zor--f+ibCcfn;VGj%40&hLx>&AF6TTnEL&)G^~cL01LH>$&tt_x5vr$M_zZB@q2@dmrZd*ZQjlK~5rp zilY3Ua{TpR)bH8PM<*0b*9i!^wJm>6ugmXbB$NfDc2wO;f0B(CT>a&YjmCPgPJa7e z19Yr?N0=k$gF-kDs1k*FDC-q|w(@iP)$?(uBAuE*(|%^pOx`?Y(GVCtY?NZ}=PVD|1y#1+xbnWejx6A%}hI2aP%?9#(N`Lx(zpef`(Oi$F z&vU8;y1GCvr<_;7e%QQR8VN-A{n_gvfVUrxm>uPNI_1aKez^VX{==4@_$e{9{%q-a zzGCk`xcs{Q)`#9M0doDz^Q?o{Uijgh@7*qVu3(T~f6qYp`RqAv^16rt^UJm@|ND3D zne2H#pS}UY`v7@6nJ)H!@cfkAo&|hA82LSd^hxQS4SEV!x03#{N4wsC@7IPua&Mo$ zA?SJmISA2mgldM3XIU_CM~m)OS-yj{@kZ}IZ4>t8d- zP45?6|8o4c;;zPbk31N$o`Le;92YHs-2SPa6qH(jh*prhBaoM$tiN5FoVsMzUc;YD z&U53}8b}kmTz_)DV$#X$XP>{z_#R!yr*8xLwm=4QKYX>GYlGpB7<>6seN*Y{_Ol%r zwr7lSBfp2!d1&1JN{>IQfT$ggD}M{W|KjBmyZk)=y8hVKzi9gJ1i8Bcx&6_6PQEdI z$`O>^&bXldC7B+0DDAJ5pJ&|-^7aJsc3Q3{{fqsqx`VCbo+c6x4qdi-l^f873SK`)MTj#7}*8_4^q6tURrzrHcnlg8VB#jby@Ki&TIh1}-? zIW!YFo$%>KpUWQ*B&Tip@pNOiA5O2^{|g|<#Xvs(LH!AR zX}tgI_ooX%cM*_}v*mg0FNc2zqxN6@K{o(s+Mf!JfBr36{)?x7tv_3OUjEvCibt=@ ze<1WWG>ZQA%iY+z4gH3n=O_1LLv&{lE{0G*Q4F>6{rPyg>iMI=h<|BOI=T+8hsXGr zj|+ACQ@s4gu0P)X>GmUD{=<;hYk<7|q>KD>m)vssPoGE3f08{82VE}dtSE-p^R#%h z!@QgW#(C_`1x33I7ncJmU3E+2hrLnjuWkOL>F)~gy%NatPj*^*$NwWB_gEme^Kkq9 zTmFEW>x}Wcw*Qf!8wKQg()-zQ`_C4LZax3S%T>2OS0SO%KtBEn`sZ=-b~X0(V0`?M z>B~O`e6I#_{W<>oO9GxNC_Vk3t^ITP$*vt|9P)K7%O7q+jfJ`@X@44B{b**?W$-EPq3;M7|v7deGeoH0@snf8o}_a|M0<`JWpQ9s+VZljkW_ z89JwY)laxTv-~bd`I!K^TYwSoPwS5j`hG~h;SbQ-r=JMAn}OVZW&7zJu&~%zPp9`I zy%BUb0eSxA{Odd64)7&oKf0y@(c`ZFw&kBp3_Xl}{-5-%lF{~eE7H9U$lD*e9@(2e zK5XpglOYiOZ_7Wgzk2*I34+`KjZ_uc=7r9w4v3g>HVh`>uY- zsQ+z!{?kBrH<0(!#K$~OHPfdrp8VSW;-$YAazA`r`Q?5F-g!`aBibJ-&-*}kKQN;G zJvL5msJz`6|HQtYm)n0W0d~#nZ#hxc!x${U~kQ53X0;e?N_UF9n+R7(q2LGs&{AGg2Q z=P!t#5>uD|3y^y*klVkMANJ4t#Vmp7akn2YBB7UnTu##eQe*x(v&8t@>YtD6Yxw+M zhTN|Mxt^r`KD$UdbZ;`oKiZ%BU!YqEy^fJjegx$0hqT|(VTbUY#`l*FzW!E#ZUc}(sI5?rKRb=~U+-u4AqZ9jxty~7 z4}U)RZlm%3+uY~B5_GG8Tz>ifj{OjL`=2ck{cp2h-u~C|`LBT>>w&zT(eFQ;zLrnF z7If=?+?=L+dH^d zrEAKHK5u`1SC@5;c=ENm^XrZJ%^l_)5d1y-k-u}5+&==z4rDv!{pj8ipX>|&BF}&3 z{;&b~xt5{)0LkC>cUPS|P5#cighkL-!YZ{>V` zj{1ppqr#L){yD#jPf|oY6+M7(M{Em(JyZii@lO&54}^bZ#oFNfIUoI=D7t#TB(ZVz z{+m-a65j%M_q3;XO?#UBR_T2!=<{n9cE@Z$@hP0fuK{s(*sb=CByrY~BhuqM8Gg+b zeR?H-CEOD|oi80NU(wI^R^>r-q))8}$NTAfbxt*%&rab5?wIiL>~Co~|KEPJsgR%a zL*r7)kJg9cpMi6bQ{cy$2+J5*_)cr$y*F+WF>VzB^o{ z&lrkN`xNN(9q&i{3*5Ocgnwz`kH9ylFMc2>%70z^jmPqX;=0XUWC_mLv*k6tLz|E+!;Q8J~!3(-&W^zlisL2h(3Vx?kPVMPU&VKok;yEziYB5GhLz& zi16+h^0Zmh%a8I=a_4>beDIS>|Be39W0hi@vOop!kAC21_eT~U=^tGg&l6a@LifXZ zQ@gDm@|_zh8a^af&@GL-6DfdUW05M1*yC0$8ZP&7q+8qZC6|lr+41umM1p*N zB1No`r)^wQV=G^u;B@rguaZEQ3gq(uDPq^L-KUKmzBcOn8I4CPfu8h%TYrA9A_5fX z`Mm(b={cpRg5~#7jE_?oePcnlH112LfTAeZVbJ<0ZWpn?UqsVC>6^<(Li7;oDsp`{ z>G`k9KZyD5X#D?*o+KfD>fRqGT92=Jxzs_v?AMob{!YyFJpY>Ggfp5dY+&bpCa7p)RAZ4?PKSs{^_I^m%u@eJ(xzHMaK0%SE^Ury$>_ z0(m|Q-OMQ8hY{Vn{ztRl;>qs_;-86&(||mmH11hy)L*^6-{pNV`o1Tv8R4dLB7e|q+) zvA(K-PjAbg=U>Zz78o`L^75D8hr`QT^L88S6LkNX1G+{)2I2jVyPgnDA55Ab7c6d80 z=M!<>rP=;adbaHcZv}j}0^>O_`e?E}6Kl1%E>|WW>oIlg!U)%ii zbn6JPb1uNe03h!_6UFRx;r*^RMf9IkPcH;re@c*HW1(&%-@hoDt^CAK(ZybWdH)mp z`y1DbroR{&xdh0^uT)P<@Az{NiTyDuF>+ed?=K{H& zwSO(w3)L(8{)5Y<<+sg0FIUIc-$=-PHIVmna(z~n@+0eaUT>@~)%(ki0^JxOA3sU` zjU9f{jN}!@{FR>nyb5%qf!t2y_!Z~1^75}G5Iyekv#tKPUb6mn{=EEk`CS7=yb9!c zN*6fI=F+fnyAJojMsmHzzsID}6GayyaxyFIt~-`^}e>b5URF9ry@y%rbOQvkyj zV!zjZeros!==PK38V@?IXL;UoDf#{rP5(DQ?g>C{|FrI@^p5{;gxrrr(SQEwPw#tR z@L`wc8N6tr3w`^!33Lwuc{?Zf*9fk7ug1y93DcFXz9nIl1EgGxr9z^rCL%{*K=K)o!Exjko{Q_3w7@oebpTKkENV@BScnLhh;mFZuKK8S}ro z|DFQ6yMSE(i9!XhG1{+8gcrB}*6nxk`X4?1n+Cb>2lDcx`M;e;|Es?r-3_|?fV`f_ z{T;Bs3h!66f6YChyBEkn?vF_RX}n&Pp7D>Z{&~L`6qHX}dTv*G{5Bm4JqYCehkXAi z<=-zKhTJnqAq<-dbz6Gt&!dp{2_`pg!uw-Qd-KDTLwk+=WxEQB{unME2lDzy?Z-yr z{W0G5Blh~k>tBX1|4hjJFCg!K<^0#3?H<@t-&j8t((9+51l`L(Zol$;in%|fJzZmq z@&4G(@Bg0y-8>)z`TbK=8@uYw?$P&$c^U*S0eL->?=M5o>(sRN4rBhOk>>64YmELQTTry(J~g<|Cn3fLumrfw>h3G=r8DYAubjHx&6xTpS7!$D?D=4*x#y=Pj9RLL}KWn9>2VX@V9~7&eHww ze_Sp-|MNQN-U22A6-fU)eE;Y5TG!t<5dTde=darz9|CMb0)Ak>){#HTWwLosCvi)8;`Oae-b{g$3z1KL-YS67=`NmCne}23_ zbGy**&$jYMD?eL$Za-Ro>mcfSAm>BvZ@#hqLDyef{ybf6e;dGe({cIB_6z&V^YNda z|N01Y8-WbM^AFx{sZswj5&rkJ|2+Tkw*R{RZ&n#}wgEXG*?u*?AgBJkImY^RJ^#1` zbX$SEpO)kAQhwgHt^K7Se+p!~gkOpHN55G?y!Y89@-GQ~m%qCzdGcTU)g9zH6#nQo z@qRzJ>fGn=+}h#oD<6vVmsb9wzabqeZ$iKR3PrE)iEp_P)00L_4~T0z_MCNj=W-GL z&MMv?t~wvKj8ONK4vmk@bEeJbUA_48XgT$*3?$FlHWJOT0OyjVJa`cL?c|77Ho z(s4jv7W5e+!*j%?^r(HJ@oWHo&I!I;tvrWhN>9tF%Ao?{$$FxGz<}`FHa1uE@4acb za!%lLk7HD+A|zmq&OKP|KzKS&5$Lq#vedACZ2sj`yQ>Gys3w zB%E_j`U(hjZZGAJ%313{r9=0`pYDU=vXB+S71De0n~XTWm4&HH5t&+XzGk~>3u`%U;qe()4er{j@Hzi-uUQ+d<# zplG-0hqjx32>Sa0C_biKlx~Jl?G~ON$Df?!+&O1#yX2jf!I$VMUD9jG`A4t2;KA|# zsDJe4i1VX2+ngUw-{%vQ;_yF3yd+OQ8F~0e_j?u|=^tGe&-pksQM6p#yJO#B-?}#z zrO(V2bW7tg8vpZgxEx;%cs`}=po4B>BJl7$pWb$S!{1x7e0q{M-Ah;dORHPyUwrAJ zjz3q~>o&l14?=we-BP-#6i^i9cl6IG$7}bE@qeV z_34!%_o+Z`f6_ni#($4kBljmb8P7eC``=MMGZ20fklTsezi-RcmzLXTuCLbbcPE0b z3XtlPy4C)HJYD^MZEJtjzNvI|`BeqqYCsMhgt{-i{vp*NFqIFr2P!xb^1o_)U(E5# z&sKlbPO5YpAYI3)p#q#!fE;KZs`ReUt_gv&fV`g5`nZio`=28ypP9Hg4anPJdS8iL zUq|)FR{wllK;yRf+t1S>cO77a{dfbt*A4s07KrZqN7qIG*Ppb%QocUKR{v)EL;26f z#koKloJ(f6bprYVp8ed||NI=EzCP&B z0`hvABJzKKaO=&ld}H+gdi-z(=xBV!%b)Cj=l|LIvNOTIA&|Gz^7|tE%XxU|`96^Y zxf=m_J#~Eh=ivc?=+@t-sJ#GPob-D9)dUGP2XZ|Zy4Aw<_uTz_e*>qx&%Y_?ngJPv z+96))ZU0+9;J!?7+~jo^nG2df(`~-_eX*P0f3`%_UdN*kwG^T7@d0agyVOssXnK7y zty^vjdS1@*{Mx1K_Z%(UX?$O#af#!!23;EQwDCj;_bQ~KiRgQ z-2Q_C;yUecLG2^&Kc#=)lEwEW73?t9XSMS6-yZaxfSix)f4qs4ZASmyR3N&8iCy2% znA^WxUybvpc(~3#CDZ{4a{W_2ORxPGul#iT)fxHjcHI1@3nwl7TW-9+>hpiPfUYah z?7wJ#C>|dB{!qMJ>I<+dX8Wt#Ph0)*dadbuK#-ot&A;5A0`HH}?9Y}zuNS)fibwDG z`a2tPp9AFeSB@WU3Rj?YM*CCCr!O9V-T(In-#$PNZNMjT{7vy}`9~{1Tl#qQ&-rWp zpNEVL2XZ@+^GDh9R?fWX2p>N>djI`?pgSL!38~s_E*|!jDPj}Yw_f#cHMCXfbT^> z4)XmM^KbmUAa?ub<*(ZhTlu+NWC@b<5?la=K%h(+%6jX{qI1;zZA&dU!?v$ z|Mmrj{u>HnGYA)hft-(gf5!V`$=09P^~d$E>z}RudHHAi`5%gW4+C=h)%oY)rRV&B z%OLlaKn8MsOO985$Bg>hQc%3had8EZ_aCI^$o+wc-d6wdmLIo2lFM;&A;=9R5W`L) zB)@*m8N1I|pQiU$9fA1Q1G$~Z@sn7bGw-zM-ycSTZak3JKe;~&`~!Hs(&MjDpu6t4 z^m6{y+n+PvnE%n^ud6_J4UqGZ>!ZAlo>v<6Uw{7?4Z5*FUQW{f|DydI1G=k$Nk9eC zKjMF+{owUqug@BX{9eoQO*iO2o&UA>4_*I?SN~&g|D)A^TmGCrAgF{U;^Hl!S^xJx z61r+;@==$*4|~z}YybEgK{pA=?L@vmeBYq``OX){`HKSuqB}R?;%1=v{U>y&rCg!3 z$Eg3h{@UiB=S$n~E#P}AkiX~2{c)ZM|8^VeBlY{YEq~sw=<>e}d_zFqe#rL6`$fJ# zPMuNfKkFl-|J3vMcZ2ReAlHAQP{GmtlkNfCy+B_7=soAZzyILv zqJIChEx%~?HywI=7|0;(pL=erasN4euiLEXgU|(nZXd+OLqOjC2K@5p;dOj^Tlx9> zAC;^9_d{-1y8WI3xnBfwJ zd^M@%p3N->1QMHjvwymY=tawFIL3=SM$70Y&k@V1Hs;`{U)3>F3{;o|j+a znCZ!0m3sB~<9X=&1t6C*9eg6kPl*1v&A)T|)AiR@f6?;)5;F2HAde^eZ=COvK^gY2 zqoCV)xOf@J`(IiAJMCZ9IQvaw{#^I}w(|3G(e=lcp65%K|9r^(I*{{`<-g&!?(g67 zQG|aFrS}TxUIQ`+e?Rs1=Q7t%>iLIPL9hVG%US9V=T~#R#=icM=Szji$c<k(2MeXGby1BoP?!VR|>N+4VKiPj`{LagzmOylC`{nu9<+mOQZ2dU?Nc@CT&)5+6sLw>Z3jh|Vu9FSs8s)ep)a^(#cL{d*nnN8uFT zL3)vV)w#`P{wQB&c?89KzkG7jx63Ms89Vz9?liGH@{f3;f^l9i`5TiQBzF*gi2*Tf zYWVlpUggJRg;1-X#=UG#DfqO;TGorpcA6fa+mN(9urg)Sd$(bRJ z%2T_S97%?rsNCpzw0s0b%5S&7H~XxhL9gRK`p2-fXFVDepMHO){7V&`yo1T9JOW}{ zhg0NVP~80OGHE%fke8n8`lkHoDV*e@d=NhqNxzkmFM3Yl4)mNBaZa|6t*LVABr;ui!xALpSR z8@to3LJU0=f^L&=kqYGF=R!C4mhcICD~<1$di+h}-AbV6@9&Pt$NUq;Q_=MPNEE*! z=(+rQ{VwHGMbqCuN!}FDR{$!Aem*GiNj@$e0_FM2>Zjx{fFD7 z1HIUP|B9EM>WPwHzkj8v0N;<2%2NdgMPSyLk5cd1X4tP@f0+*YlYtEKdWeOGY7TsS zTfT8Vi1uHn_X?_CTuvH)t})hsiyM}2|l*7nEqpXJk^goLUCxt&vg899GU@oei)y!K1{Af_+BEq_iQd;N`%FpXh zK#-WW^t@cO{ho=08Up$F2jf4d^zOfq1G!rOP5lSQpFZo?+1ri&yNPeVjX>8JNaI;` zTj&nK_e*Yn4F#fG_dmS;>-M(^5^4(M@udE}`TzF~`)g2Q{ApcObMWVOCdVJ%{_?NI z-T(4@>HOQ;FK^d${cj1m+W>j{PyP4)sPoUQK-c=X^iu!-C+pYaZU1A}Uo`!qq&o}H>pD*KrP5_gE3gr1@sDHd%_4}Kx{X}d3 zZ0V!v&z7F^*X?&FeDTru4h~8FzJpYug z{rE3|7%CKWdp0im0C_pd_Iv1!`%|m#c54tp7(?9z-JXMs-awxJ6tUksU(wuuB;NHq zSpw|h?mzn?p^JcAPjdb%y>k5)leY8qr=gAl(VcT~F#yQ(FY6z^zw_{B{`lcM(DeiI z`X~Dj@3+RNe>n(`zx>Zv41E7vE~n&=@dKAjj~^}o{e?horzHP>|NAd*e{035fBpV? zG4wVR$bkH(^R~J)KdGMU{l6{&!9Yfc8|l9(jywL0U4GtwRujZ-5H4tbnfE``PUT0e z{~-F}wST((zZ3}#0rGLS96w%5H`nS~|Z`T4y*S`HQ z^+$4Ej*BaRT>oSorBl{cc!%(D;6$&o>(d zx~qWvJx8{`p8c;g)~~hn`P=G`>m^%&oiiF2V}M+K*?(gHRBjiV-j+YtYwYtMoL<}C zSjc_tapjlge{OgIhIzhw!sp9HX@4l5ZT{o6e_sC_5g&g|KOPBP4>ZS* zITLOfab1Paxc`i!=kJP_f6e~}@SO@w0xFREKW)zcAoSotWByRrp9zRR3CQh4j^AGR z;KSb^JY=lD)cX%l1YHQoK&~I8^Qrl~l74@>5d^mZc|DWgf5Y1!Kd{$$|JCcSZvx%T zK(2qe{~qj*w+mSU(XGeN+N}{YNOCZTWNl0i2>|T5BXjP zajBp5qV2!TAAj5ry2pS#pYnWmul@SUrFlLtnmivK(S5)9M=78v%KeYj`132{{aMdH zOh^2OfeA(F9ohbR{LS`P@4xsU;y(oB_8Tbm^N%wi_anfF{?7~l?{B}kUFrJsIP(1j zke7d<>y7``A9d;bkcxJ`Ky>T=GaCPyNaz(HAHO7u{F@%T_Pswp=jVIo_4D~Z3A(3% z{QWyo1m)_H;5i43@lOYz-nReZcA?vkr@{9*Ah&`w&+0W(H8ts4V z-(NZZfB-vZ9xh%6^6{IrAMC%*>vin=@9_Gk?f+lkJD&t9igNvfx-Grm-(Q8iD~ihP zU$+wCjOyhJKmW{FKho77KP*7pg+OkHjz@XJD^p9~U)+mEE5|4HrCq`k)bb8A2UuY+z0kmq08zvsWY!)X8Y z{LdSpdlSgzr}vM1WB=tGf#}8T{~VwGEhO|dklVTRe?vaR4-nRXSR(^}Y_Z=Xw z=W_lM>le6Q>X#UQTlsmrp6&C07jiEJa{Ea{yfw!Bfo?x+`E$MK^0TGq?*+R5vZd$c zr}@8+e18Ds_9N?0l>L_w-O0nna-gX{n!o1ts`T`Kw)*3G(fa=o`Cbj=^(;lqhW{~t zuhrw9m7rS%KA*Fcc9Bv4V5`xmL(((Avx9`bGkay`rS zXZ6brn)~kO{QNhe-yb%B?js;CXR2ofZZ!Sb>Yvx&*vl^({U*r0AIRmD=MP-I<()S# zJ>cfxxd(FpD!R?b#a5tM|D9n;myXe=d zPk&S{_Vb@fkWWFD&wm@jcLF2of7Zr!`Kv!Q-rwlEq~mM{-3}nPAK8DG^7CJILGIl^ zUVd`?-tDcQAL#zE@&43IAi8z?#qCnRzwALm`+&ThWcv&M58nSb^7(%Zy1mDxm*Y3A zKjH1aZoi9Xf3dgUyj{}y{{(V>3gqLgbbtQ@K7P>icee8L{AUTUvo1ew7rOmAfP@YL zx&2H1KeOcJatjvo^J79C1)^K?=l0|H^oNkp5g@l8+5QCEKeOYJe;NLJ9en!3p!*CM z(f&;f4*=db>|cMsveiG=OD&)O=ivJVke8E`-}}YCek7XyY~_!az9RCcK(`;!_kTEQ zwf}?X=RQ7JEV^+(yZNUki65%38vEl)TaI3taE`^Opa1&-8wOVw(OBBVA2DYuB`=cTJ;sWXHsp?kPUCGaCC( z{vwbux~wQWvFG#`6U#zAq9-~>+*)Z~`Bj&c667H7dQAK&9pgS!E($-{4|_k_cO%*7L*WV|`KWy?Dn-OkS(aZx z{=u(5S)@ODQ}vFyc9pJSJSSzoRlu@4?_2pp1$98LE*SgDYP#@ zMeNg14sw?L3ww+%w^wgYqH-y4KltO-DlLXq5>xLA|0+PAL810Fpmb6Z?jT&tsq!C0 zc?OJqO{hKxM3(oX^vIq_Z-n%m?t`MU_Y0!l6JH1QAPx1L!qa^Dm0TIdz9Iop_xfS- zkMg7WsQ8s5=v8a#QuMykSo!AFBTp?ufQ?lYYK`9?7rmUGXn) zzw*{YrHP84HIrMt1bul(K7|>g{MWVLcr3pX_*45q`U!}X6*=;c?lZ(=kA{Dh(4Oe> zr*u_4ruc*z;>2I)pM3U%T3-WhUfKWVm6eeWg_C~dc+&gPy-w#5`VcyPSZ?*)ljZ+F zy-71}nUS4aAvYzrVs53})ZV$lUJ1Ery~^aKcT>s8<3lQUa|_f>Zbt9i6MJ6w_2>)! z(fuoSM(kg)(`Nq)fgJI1cA_{Uj}It3`Im_E>q!9#xHuC?_v%*8|NJ=VhnxQR((OqE zVHAV>`Rfx9UL8pH>Q>HQ^hl}uc;O+pA)b2>>gUtbc#-7hQ;Wg8G2r)rnOfY_N({LI1zN!fV>{kxO1uT{aE{7 zQ~_O8plLs$zc@dwc=?ZAf4p9noc+ct|H;r>Eg%Eh|2;4I{y{ZBa5~T|e^r0B82hK_ z`g02CGJ$6KsTai6M)}tfi0+(!CjW)+p2uBH5WM|b?Ou=_hk`={5x z*_Jg6?O&pQ{v!|9=g--eA8&u^`|_Uwz72pp|D-2# z{}f$*w)~^zKVJHVkh|S+<(KPUCp`Mxo@KlE`jaB(pPU7{)(>P5f-$D=@ zTYBQB=wffbqS3d6AgzGheyIJ3^uLWy{@CkZwDz|R1ZfN8`K0leIsdQMFWBmz^QU&j z{`+Y(`u30;6UYAhlnR#hAM4l6_Mh@uJo#hSKk-v?Y5VH{`4<9tKbI8ws5YG~2(vNnr=R z1HAw9_tkWqb3oS{$jd2FsNm0y_0KeKXy1NtyVUi!5BT;4a-i>orFZ;u9t6Gs$mfrw z{<>ZIz=2M?jqyV}LHX>5i}Qip{;B=n829>rUaq?S6|eo({l|rndk`=gs6g)j``OcD z8|G{`&X3mnfAmNEfs76}d1$9XD~#{&dj4SmqFw~#{fyKf_V3|x#ryqUzyDqgzLx-b z{gdSn|5GlP)}O8ZdHvD-mn}Une_j7<={bK*KN$JGG)n%5VE+T2|Jd!1^N%0X( z&0MhE*nddZpK*wPEs*P3&OhM$QF76AoyLN0ZRO|oU&p7v4hfA1^8TmLRp)1|GxpDk zxBRsIUk|=F0C_%T{~u-jE0u?B{<-~?T>mig&+@-Kt(a^|9PO!yiUD8<^B(H{RBmu zhKqZFX8C3A2s_~IGQK}F@agXc-9145{zrCJdi`hagWUH6dHKuvcbwnH>z}T_#VbGE z|2zP`(}BGI3i$i?@Ny}+_S05=-u~+P_YmZM49MFVS^vYof<10s?}GmI6?FA5E@l9E zK0)u8`~TMR>22lb>5^SK&LiOaD3IH)#(2OdiL=TqA5o4LuD|H={+%~pPH|Jr_vN3ZLTEj`ayjxYZlWMnR7s3^+)OP%h$ ze|Yo8RfhiLya0aB1784g`;+!t%IBY6gxs$JIkXm`e!s2$IdQo$|EJF%cnJir0D1ls zg@f-0T>tw0YaZxc2AcL8^1h#LFzheh_Aem7&iNNE<^y>+SObk8L?XNBWXyfmrZM+Uk$X zrOU5)^t%6D3b~g7c{$1R3($V?@Y1t?;QNp}56JZ|=YPFl>3x6t0CKMcCIc17_WQ>0 z0B)V(|E}$K1>%1Qd`{ngV%fA{4tpRdAa{gh| z_Y=!Z%Xd#9hG7i#5OizHKU)1;i-gtzx&Gz)>Fp0ZIr`@1#`mA@G4tnkA?GFVTMyg- zn}4p?fS}|)!o?OK&%Yc$o>6Q0$i6G0?ticmben*@otE?% zzjOP|5{Pa+f5q)5=+oyTq0N*a!&asK{b?)Y-2vq7pDZW2`myc4myPw?di=T#blZVu z{~N9SM|5lb^ZKLvA6xt5?pCp6*`pv!7hWKY(-Vf5d&{x#SPk3VR}ckLM1~t^N-8q(`DBy%e~q z-tRw%_iy*xZ^A#4i|BNGlE=ePBKVXMDxBg`e(1iy^|t3bME8W$J_JPAoBr9QNk%&K z-0{z;S9~a3zPEcnx(`C0^3Yd6EPXfpD<{IIcrU74PK3WQXAdj~Iy#@6?kOFTkC6CK zdqD9b!hQ9pzixN~0!|H}LKXNBEV8zLRY}a5C;g$wK+hl0Uy$ zF9PuEt`L#F@*~&jDtUswzq9hsCjC)8A-No+tM$eG&?z3$&!l`%dS3Rn9Xq(|Ya^`zQm(r-X`pN9s}eTGo&H1Q3JI?@Y#aL3B9Zwk*a{MU8* zs(ehn>gP({3{g`4+Qa7`Jn0|v*G|d3u-EPgf9>5i{@T|mMK}pS1*+cU4gback%dnX zbW8CYA%Krd6GisOuL4_7_}-;;0baDwl|DU%d1pmNUp*jR5aeEX{ef;2{m8#!OOM(%c1v-(cMU%#!O z=&85}0=fOk^(Li!zB(Op(|iKe0~MSiT8^1hW@*_i#(ZTfUw@TBUjs<>N!`l*-aF48 z^I?-s#(FXRy&?m2CjqHGs9U*TGxSIGOND0(M0ZZaMHQe?kHqZ%_>&UazG52vpdbN+ex#oqo!%l~P}NEVRWKfT|U-u|N& zK;F*D^FEfH&~y5Z0$1R< z2ce7n_OA)Ty92qNQbfVy?N(NL@++6#4-|bLpS~&RS^ycy^@>Bn(~Hf%GQJmg5)`i) zE}8@R_=DQN(tF-^OUT^~$lLF9v2g2msSVFQXw=^hzW(UFN`T(9{~;5cTaOIi$^Gq% z_&c@+U7O?5%kkHwlh@Baf0yySt`4!YZhxb-pKZaHCJ=f4W&QPj=6Sce{b>jK_CO9T z{PU{0UP`Y0v28ziy(+o!PX}bUE0DL7a=nH(fwkKBUZVXqI)bj#ap|T0vEG%Ji(ao_ zn}6OeHWFaxbjC#&AlH)~|3|YQTmD=xv5y})y=>R9zblAV*Iiw{u4~Fzd+y}SX8+D+qvrkg6ZqaTXU>^3XX>3Z zvv=;MZ;buo+xzwf_FUJm5#hweXcy=wW3mwwGZUiyKM`xc;C{_{T!Z_G>%jMVAn)f$f6pT4f8(7$(&@LApO?#$ zv;V93#L)UDeqX@Au3A2)&EW+0!xh^D{NvtH9y|J;6b|9>dbJ*>#|%kisc zKc7X_pDll$|GNGf4!*YndHYS{=hEB%x(#wK1@eB9+^_2AZU?IW@-O!ey!RkPrx6|Q2EN>1?l`^8I4`oDpm4VK!`n|?|BzlMB0}DN zq5a5PZ_Hol?{8y4cPEhRU)o>N*@tGmxW*X2=;N@Der@&7^`hJFN5F6j zFo_8e5JOA3zv^R<_jRCI{_-|{_iFO-FWhqqrz>=UufNCf{Mo|q=~~YJgq~j@J$?@v z?N=K?L8jtj8j#z0x|rzgw|LCx|7iPv0(4ITdHX5HA5r{$5WJZ6N4(`%mMi?G1D~M> zh0#B+J9584s!yIm_@{xq|3U3^>D@2Tw)|0gkxT(}X5eBbkcX50YKPP6G@rNI=zqxX z0{GeT=XR;{?>WTt3Xtnx+Ml<6VvEs#(EI((0^MvNmtXpe+;T;~W!*O$c zxnBeF`dg3Rc)OG-5d3ee|G53>`g<+}Sy-g}(*C>T|F-?`PUHKp?*G35x_LlePSeFK z?AOct&#~`!$>q-yVCTGvi}^qvPJaJ}zb@}r>iHvE`{n6!eEx5N?*gDXe-gs{6Q>XO z^tSw|yeT%Zw||^o%l|gyUIb(iZvSvzOA33@P|)o=xOf-H?L5){ep0gO*Yd}!zr~Py z36QrRa{SyhyrO=-QUAwozr0?^7GUSRhl}^=L1FwKIImSRayygXznp3VuKHpd??2~W7mue_^GZyaAzehRsnfEC;K0zy#Kuha<2s@0~N^f*FJAeqwIH# z@6WN1A9=q*w}0!v?<2++H-7mmz2|LhfT$aRJe}x&6s&h^vh?*3bX&agr|owWBH9h) z{H6U(4lNpVY?XTkF$`l!uRq(2=Uafh{+0VxC0w}Z(EXc?_5bYzf?M~WxLmsZ--?Jn z0rGIN{Ox>ZTfP557&$9)|1Wl4TuK!kS%IsLxh-DdI>+RNMPbIjFw+;on&1Ak2N zSEu+L_%)MXx_++YA-WSH_^S6wz8n;uKX?51)yL+qC|6y!>*^n4b>G-LBmfS)tTq2*QQ!&7|v zImxHcf&V7GCw)c6r^1tdGlV)nxV)g}{G4h^H^qzehGf0w{U}|P{CnTP~NA z4m*t=j_ZliMS9ffK9sTa*?Xr|5;InhIB7?}6ft?xf-NKmm3g)8smfQ z0{Z#B9f1w49|{O>Irdb_7m_>DK9pW5-6W5WkEfgVH=uBoo*>ReFXQV^`6Wlz8)682x9bHY;$e{3^;lAH32(nH}KvE!NjKflyG&F4Sl(|2$F^xZTOKCSz#+s$*g zi4O9IDua&FBm0xy&kSeWJ3(>woT6QF^rtrjH z?c+dv2_xl8*}OJyYzjTkcWYPM(>VAdHUzuh;Pw?7!ptW&chW;nN%jjHrzIhu&*FDETrBKmW-0CFMVU-OIIU5~jx;k|-Ue*ZH8&zk~yKd->Oe&po*3aQ_@ z;~D*6LAMk>3lAthb(<)1m+l>V`df$HW<=njKJP0L&$--qDCdtpe(sgd3#%XC{^QPt z0wJvX@6pE3Nr>n~AeTd)m(uFC>CYqJ z`}z-nt^$yOKYm6ZJgy`A^P2TYz0L%fGhYlMqogAh$oceyDM?DYy6EVeD7j z+%LZ;gRTnDOn+vS^MVlET7GVSTK-cIQPm>(YyTmxKRy3-D(FrF^7>2q??l-zAHl8V z=ke0`!M^_Bdd(6g#s73fMD;t@vm7^I{Sw!oo1~cY-sZ?bWBsB&uec`Y>HvB93yRFf1-*7$ zYx>{l^>=52u6B|1iNg7l{a#uAuJR3;uxw_T+ zPjLMQ1cDc{{OSC&wZC}nhtq5Rb&-&BfXS3F52>BaH~fz@{XZkWEJ(WB{V-|_)pXl6x>#RUjLC^9H${7Y69f;lP-39?eFKt_Yb}QM$Oa{W=yt}{Zlw!4{lub`_>-vZBDviG{qP&pKU?c3CQ`#?>|q4e@l%0GqnGAJJ7WUay`lN->u@d zseR`f`4{{C8@ykj^REN=b_6oWZ7T%U-}3q|_VsUEFIxY$`A_z$78u5fInfetEhAK7DsYbRLlBlU%>?C;sE{%6~riQvJ-!kKDhnRpOAk3R>4E1L0h3ucnh(u2=6|&RW>19gRV00i zaJ=#70;B(-&#SdfKi8`+zqa(z%1>{|-3Q3)|CCa{|6aW5?~8N~0&+d2h@q?hv*3;& z^IRIIs$g9Of;;_iaTSo;kMw`5U32xNp&ds3t;bK7g6;|+uP3GbZrFRIpq#n?h_>JU zpt~H%?O(PZus?1;wFQDZm*HXn(Cj~{$N$&n&vgH3Akuv$koW(no-V!Xhl*$alrG1) z8tEPe|fFv~peyOH02z7}*h08RT7NB7hi zI_M+Ae?{ltb)dT*$jeW_?|<|5Lq5kZUi}r1UiTkvgdBrOAcif4x-Gr)S2si6p+GbL z=)7?>*}f zpMS{h>C=xv*gJu|o|5Y)`;Yj!(KiR&vnkFn%Jr9Ydj~GY0(t)bRr8mz=Rda}D%Xy4 z7vz2vm<&{qBIbv`pTCx8oOi4JC+|l1hk=}r?7z?XaMkaR9_0I1%l-Q(TnKdc137;= z|1-aA|M_JXE3f7n_N&{U;_=u0H(PpcSGxXq1aeOS z^8UNrKi!-E`PTS;5pVmi`P<4L&Hf&P+|K|xz2~L3|2YkEKMmydx2*ryh7TZEZ_K~w^$*iQ_Y{zU z{C-6KE4*Cj@AtO(&&yv;L40iKdA{oU%a)$^Yqb483qfW8BlK5YofpabZ?V_E(aNu_ z{G49P{~Y9=1?1uA`^9%g{go*YJnsJQ^N8pLAlF|a_RrlCcm2=PrPDtfd|w3eaMJ$0 zU+F#X^d-psI*{ABJn#3cmsj<8&D?)o*MBdA?lmB{Q|Z4n@ugK?IOg}Sh62HzS8(wv zJzyyNZ{9D`f1ZNb+AmL6?B$oIEB5{aufMVc$v+ntZvrdO3lF9Kyzf^Z8RbW>zj*`U z=K*>9A?@!QIsMaRiDCbG|5aQ4@%ppm%C9Z|X!-XR(wz%5%b!|+et`S0hI$GFcNXAc z5s>RouHSt&P3}PXwc)?k!lz#dx_5zGPD$_iUw&ffzm`w`Ht5~~@^(VjU*50uuK%#j zKVE*akS@nrtP$8GF&VN^7c=TA4>W8FU8A0-TtmXx<3T+e3t8{ z>y`cBtwy_y^QJoq1dluaRwAP9Kwkc({)a#P<|hkx@bjjfPX72|73ekrx&5L4kZYdb zrRPspgKiCwr$0qFzny#4S8G;Btlvd&>-0w}ziScEdZ1ZZ$2~T zud@V#TiXwpU&f2yR^T=ums7TX7(a6Ri@pC9jlZq_xm>Z2zxcdJwm@>7=>E$)?ERNB zlg0JkJVm0YQK8?ub|*RFltGgluBr07tN3JyKQgAJtZ4b0D-WZQ9>&M;{6|;$Vg81D z%9nh%Vamz|DJ%2w-t;S`ah(pY_~g6FzwmfOd=u(kEk$$0%-xe_?4CsLeLIF2NAOqNn%>shm)L2jH(q`~x@- zne?3C$FJh0c=FvRq&MW8sR1!P>$%&;ot=d9dlTW`NOTA<&-+&NNkEE6%X!O~uxBT| z4~S9TkKWUHyX8So&*^;KvQgtze#J!R2!8H$FoKUdN1Ea%{4+k%Kh!%QJVk_0N1D1T zAig*d{*}i$%oLAozq}vaQ-08WYLxemXtbt^ECH!Fr#I-IgU$VpDISWq65^x#0Q^^J z9G_;qC%eeNx#tzcpZS|tnQ*223yK-{PP-_7c&ZpWZA_!P-cJ$NhTYzutO&p9X!(;0 zKhzZ8zgqbdlf0E9`Loh`I{5}fN0^Z8zg^Z3a8(z_%ehW zb}xCH>@y&|W9r|-y+{`erralMUXmvR=gg=3=Y3N=3WLTu)|5WtOBfK8k0w3cmy|#9 zv^E`@{$u{gsnQ>LQ-nYACL4d`p-K@E{>a{WA{~xJoM%n_lLXK;1=78`O%(IbagV)K zBj3Fj?>!iJgP>dLr<{rh73hVB@_X)(7Z0pH`D?dz;pe#*`{R*BJg*ESxzufnXfXQn z=bcgejQxnt^XX}xC6cS|6d93d4E*;W54okgWHyD zGWJ7lBPco=Kd0gW#iwoy+`NTPjO^EHlkq)5ujeCvyuXIXF4^>@}CaA)qye7%3lL=Hv%#UbrE^*t#9^i&OUyg zvZK%A$O6GxK(41mu@&nPshp}{Ed_!*XW*h1Jt&O19ejTRUVilVpqdDOW??%2+7;?@ zsZoFF^Gt2^$Lp_n=X2uCKTV&FwAKf5`;+}I&mUly;g6#G4`+j}E|7sd&tcX#YCSdA zzplS)gP;zO=YMp65DI6j{{$wOE`PT4#7{+|^>+^9tq0`oB+VO@-tV~$Aa_F`w^O+u zG|GB91h?-0Mbn?H{&~Hu>)*x@qzRDok?kM+@i=|y>Ay9D+}8lPoN_(mAi1IM_g}jm z@m|4Ye*dXCo?i|$`(In@AKzYIo(Gasn7+{Xhn~{}Cg)$^PLaL0gNqNiynOc(6kQ8k zv;=bd(d#j(pRIyve+=9F=k-Un06V7@F4_Qj`J?%?t;Ttp`aHjLK}X|5J`R!g6f&1BEJ3%YHKi*`Vs zPPv|=l>5VWfZY9o+;^&l0Fy{C4^e(| zKQ+#i(BFf*Bm4zGUVl;gcNyPP6}PxgPj?S$tW{zP?s`d*;B2*^OR_1kZr z{?b!_+Uk$%MfZO%MuIN^ayudW+Z-|eAU)ag=kemtW`K6_9%%kVB3LPS~*Io16C;<2UUO zZp)wdE4BSz35Hh#dHYFn?uwYdC40CEbc49y>Mqnql=kt5t^O#zNT#6VUW<$CfIM7^ z2*RI`&rdh?>23M*c0tcSTo1lC02xSsG7(5SZbC%2P=tk1bP!I(bN4-6eNDuAM2hcbgdYOroX-~s?u^03{Xni~=@0EK&^c=C=ab{}zXNpl0+WFXWclkQkC{07 zwbB0R{jkO&{5?Rf=X5d3oBujs^uP4?t2;p#0`mTo{QeweJv{Nb3v_n_dHq589O(~- z;Q!G4n{GdB?T_1qu77RmNna}6y8apmMT`gX@=tus{SY$+g2%1D`w-Ctim))s`ES~f zf|sk<^~cjs>9YU+&C3<_%N%DS5t-uH-uep>?hL} z>2jROpnC|&^NHH;(wqKAAoo-thjWD(u~)oYah2iEqxa*T0)oeZ+|FeBbDnv3al03c z`IA$AG;4BReg<`m?Qnc)Db{#_tK>lR#d6WdGfp|14>La9#h|%Fpwa+7-u{ z4!NHP@^Etg9{vAxyjO6ppxdW#F%!u3l zdUn`33ykqg?E7Kxa#c%EGGD>Pt3V!(^i+EH<9i))F9vcuk^3Qf`}urfoJZ3~Ahrcub{^f2n{NeO|rndZf`%zoPE2CZ*j$i)X zR$%Ps9TWq-@#9y<`YkQLEq|^*UH`rVzV8Bg{!#r~ddrV(`g!}O+pi@^_fjBlf8_k# zt*30drpYe17T$XhI#1B;d$@QXm_#o;EN~l?^8V8@$h#b9+J9)srb-V^-DaGp+g%{I zb^Db<1Rgf_=|8~pRX|=(Nc&r|aQwbMcJlAXp|(DKF6dSQx%_0mhm7(Q^ygnzfbK&e zAAb@3|Gxe6@~`X9)kya`Ah&Pa%xL6D1d`N$h>koa&&#ErzxW7(Yy|RfiNZOr=kA8(ml@+nJ$_mbx(z^XKU7agjvo=+y8OhOeqOFf zF8lcx-Y?PRH@ZLUCVPL_ykxQbw7Yswn_gCoe&pYy9{IN;?9{rsA zjZ#0E&ihRUUkV>oevCJpj@;EpjvpnQZ13mQ%gQBhXEAO92s?Jp= z{;38($R8qkDSr|Wj`-qzh~lAhTg`N9eK_8a;;o4I=soF)?kQY`+QwrT>4Ba*;&Sgm zTl4vUaL#mOJ}LhB?v|g$6MYnD3qO6R`(I-!jil}G5+6gJo?Es zL9u-CZ*4o5O@%)q$xGoVAGIFeID7E=rx&D(kHg3G&Zl}l8Ghj;Pg(ev61~>Dl9TvQ zyi~7~p2=Udf=Y)xr4)KY6PjajJMCTjjlk$tz^y(a7x+ne6ePsOa?!0vH8}HzK z5&pk9%Z{9X%NUZM?7@sDLzI+%>%FsP)%wT$TT_bf-#T1nNQ8f@ci!%{WA3kbuORZg z-NtyIz``Yp7YFQU-=NY@?mdN{XWk&_whS&(fr<3O!vc5Uz}nxBzx8XkC3~*tHz<4s zyyyL^6fr%#zB}iWsNYx1f-V^tV0^TH1I4di>+yXO!V_PfexhGztgq1iH8k!gzMPNr zZ^is9$*I`s{;6I6HvaJm<&)x1<;T8%7;pcSr$19b?GgU1Tuy37Bfl?`Ja+nX93F41 z`ga`Sr{tz~OrN*g00|;HRJU@!GH<`3FWownU=Q_v-9bD*1!&q&=FGP9?>*^&F+b5w zAh?r;iz@V>Fp6&Cu;<^p!jTmezA}*PS=~ziwm#x7%8T++$@aI=f16^$(ht?whKDEA+!m0QAyz#0aI1|Y03AsM%n)_ef z@UPE}`3e1fxEknc0=fOl^*wdE*J^p!=BVcloesJhKwkdj_nj2AzK)mcMgqZ|>bS@R za`~zKh;F~O`OoXG*zJ$okEYLp+-Cr}{^Wjr@Q>%|$`%Ozx7k1S6BOTCCC0xN5^@%h z=d+yOJ#T6C7Ms2{z7Lcf|7`F*8_4xf$~FBU%ct(^%spl z9f#I!(nKG(A9>zLg@xaAd+j^7bK!)E0fKIu;-U?Z`tj;ET^xR_T$#;_4;lN@wDjAr zW}s^Yr!Bjqj_?eEQ~~%K>ux(e*!n-asI@b^XcpufK1#KtwdY;`K+O z7>NBYxn63<$v<}c<#J{E{Lh8_t${q9vi|TUx;7f?Yjpq5w)}Cs()MRdA8+~P>C*g3 z5j~@%f9Smx+kd|IuuFFC1(W{K2=27SMJFInC+gp!dyM{*@afxuu07DS|J%(>bp&RJB19>^s{_$L{ zc=Z?i_$QkE*ybOn*X6Hx^g8_)LT^2QeEgK?*I%4}>Dk|*7v#PL$os$PV*cdYKi+cf zH*O~0dk{L`Z~rdB^UHzUPUQYtkFQMK-2SjJe(WX?-06*r{y<)Sz;oml6eNsK2 ze;?3Y3gq>y9KT|J5S}hQ|8X(sE&=j1Wy}y;M{qS;?DZtL@i;I3h z9!}aR+CQGIfKPABpVwcpmp@MLloyK`bH~FAZf3y?`Zry+3`J&T*9U{63$n962H!!ct z@j0h_YRo@1_v^3gK{pu4+i%(ad*20D8slfZzV-&t-3a9Ek4(S!fo@?``zc=j$6kN% zcA=JlxW&}J=6^FH8Ujq9h&`10^Uj-GWTd~QpkV(@`m=ogLm|j8ARnj8a#Af^0jx0A zx5YmG;d+U;{A>N+3b|h?QhurbN{8>b`{)sO6yAG~r~PY3;Q2j3Ue4tB_2Ykq-WvZE zKW{d-pFnWuHeB2VSH}^B)UA?gaAum;1Z@CGEeqUt9UP zT(Vr^cQ-Hu~y{-IQf4cp>4}2#8c{&|23-e#RU5>Z>>HN2qpO^nkKm8LS z_Y5FUC-wh6b7_8B1?%PaA0~nBF(5Dhi6YPYezVuDj`s?>2)ca$7Y_ot{$&4g+mOKt z-Qz#6h?gH-{w9O(qrhaK0@;4Z(btK!mK*aYdj9nxgr5TB>6iVV3Eylyxzf8v|F5Y) zaOYuMJObo)BK7b6%>9M*`VZUu=lQDV4{YhV{$jU3u9wF;UqeFn(KPqO^OzcHHpw*0wW z=<;t%&+Dbw?LQj-nMn8SDEbe{-gkI^pCH~V$nopn=kRZQ@vk3?ra#;Ki$?z<n?#q&k;e;pBhSR{Wr z|55SEgb4$78{e-k^2^U$&@BXVJu~#tef%A*{+tiKZvh#|@Au*_8UHwf_{3{}w)8w-wf(;h zLEZs!{mb^J+JEytd~v6-KY!a2lmA`tT>(r6DvR z?_akPx%XYVW9h+t|OP^IsW0y)A#PS6zSE z(sTQbz5eHVja`1Om)Pm!O+W9~WcvDFiF{iJF*ED^&k8AEnfTK^o}4gKf=XEATR&2{9=EkG$Qb@ zm7v@8xY$4s7)t%4|Ihhr{n_fD+n<)dc=WNC-%2c9If8CW#J_c51u=h3hcUB;CyDSW ztqoF6fZrqeuhMy~KfB65itcHBn4ccVMfWF=oIpA!vW#fDVpN^qtCC;nad-BE;e#IO z+*8so#jpKlk?x3itB?DsVNUfj;)SIXemr%38S(vh;a`GiCQqlmy!{FA=OlS#xmG_Q z`BxHO-#+j@-`&qvZ=WOoWcdpJas%SqRTs!V-1~lv$?CnM>D76^ zN$Pos^g-v&;<*z|kEG|wc;B!8$QyxEQ$^*;ixzCDQPJm1e!%J+N|M8jhtfsw>72_1 z#G~c8Us}iD>`L%=PQ&?>X1Xb!457{~C3!N0=gzl-@{8o4@TMFN{4eP_*$tg%TN(1{ z=hbfB|MKFigQ8KBeJk#Io%jaCRcGBU|04C~b+3!?_f~pKi-&ZtZG&8V8?97b90y8`k-=G&TH@=e?Twq3$Vv zi67Y!oxe=+lAWci<0@L?c_>}H`Fyy-ONT!%h0m}&ca_phe914oGR`^H@p1V{-VE{l zvhl~#_g02}b$FFeI$TNlw?2{7vFtzQ-&#@nx9*ELzjdF@`K=R_LL&TI!;fu1e*5eMATRYlx%>f9W$2(&rY5g6=I8bI9SR>rJe-gGz6JkU-tTSdr#~5V z6@fgR1@3P6H}d?^>-#9)6wvc<)W3?{KOMp2o?o-gKe98$x2hoisko>FHJu( z7pl+V&wpF_xm>Z^A5VWxKmEnyukE)o^p**v@~CbL+=9lxHM=oz&~1eG9)x-cy3N2v zHF{7OMQ0J1I;qaS)AEe{hqV2ki11Yk)A`rU#Lz2ywQq9fPUHJjLqS1K!o|rzDo^S* z=&z6E`ipmdliJ1j?dKH8eJYTH{J!_tjgZF=66|QtZ&Q`2>!R_AGiO^661e15>gvzrayo6xck1@xQqK2 zI345UuiL*m;M)wy>rd$)*yq|=iyqqPQvKis3$^$8*9BceAa6esh10m8*N$t=^K13| z{5hbj2jqIDaraVVeU)C{U|atrA$|q51>M%iMFSuYC+m+W{ZFE|<$h6Fxr~{sq)OS8w$BB{>M%0%)dx zAkMF+{wt9k0rGJ2`}X~Hj{La&pxXuS6$}t`+YuMNfm~1NVr%6IgI~S&piAQnFIcFZ z-~a3cy3Rlb^8BZv-ui}p#`z=d1ckFrKhIZf|CFwa5Frm2KEELR+hzFYxAo=k3c6lE z-v5*IwQH`vG_=DQKk4?f8|W?s@^YSt^1swrU#k5Bx`XaKU@}mFY=6D_>rG?)rTr6a z^~dGX?eF>EcL9*6U&`#upkn2zGuZ8&wnjclcng|4UuE51WAa8$k`ng?X3Iw& zm;_XiEc?A&4WU*x`nR=v`@m0Y zHyY!2-TvF^pVF(?==>W3zPA8*{YUFtR~YO2Vqag)>y?@U?5xW_mtWUk!w}K!Kpsx6 z&&2!#PnYh04F}zABv4_Ll=TmC#=t-sOWI|j%gw{5A{|5yloCy?uz+Rr?f>o4~9ifVUSLH1`{eCKLO<7(EoEjGrk{d|K7(zHx^Y2N>Jq^hDQ2Hak|57+x`MF*-e_MLur^M9he+qIx4NL|qkmYCN-XjI&)*AiS zhJu0>k3Z$B<2-|io(1y!m;L_{(mnWzWrqF4K7YgYr}^8;&)XGUf6Rp3ZvlBZm;3vj zS##4L`}Vsv@ZJNtZ#w12b9nwDkf&d^U!w;lRzALukDm&i-!=<$vw>#*3GaM|{YL*s zuRnPnbT0sT{Y(9)Nc%-?XCgv_G^6-Mdb9(r)XNlBAGHpZW={rr0g z;a>-GIc52IvhAx4e%NfxpUZI(elG)G0djh2|JYxOkN;vHKk|NQmH<2FRb0FV0%)K19|?% zd;YYZ|FV^z>s65|F-&<_us1e{8vMe^}q=IUDfzt zzWn}On*tZw+{FbkoP}j{}J^sw||{}+wv2w z{;;Lza_RE70dju^Rw)%^f|F-nRPl>6^Z@l!|k?uV}ZfA1+ z$dWy8uRd|Ru|HKSKmT@s?qeWtKjis1-wgP1VD6s3?EB3p;JX{h?NsL9aJ4@XmrM7* zcY=DHr88=rAgYJAl|KC! zSNV}95I(77hsGoT5wsB|w*sqKj z;vJxR+&?c``B$ER@Dy(Ve&5<}eACA8?+=&aQ%L-hBIuPrby?wwKO!>z@a|p*bN++) zC?4V;6certd+_Rb%iS;~N&bmtVK@81)J~QIU-DB;@b4Y0m1#49h@Ia;T`zfmi6hC7?iGn`0j@BU(M_k5allVa^a8$W#PXn%aivb zITMBQ7uV^VG%@@mc?l!aq4JaXYrZOeQ_mS_N!#g+-y`!eji|`*;c2+?=_-4TaZx$r0cylWVkGy6D!%v*_ zP5enN@(-^FKI8{o5pt5Ab$FFd@RR!v{Qv!=i9W*!XU3NRe)Qal>K}dhkrv$+y%`kW z{IR!vy*jC&bHtkSr+@y*7pcNK&LJ&LtPXFN@NJ4850{hpX!#uPN9oe#Nj<0V#E<9# zqLTNk3^{`EgV*)h% zlAGuP#<|iIK8Sja?4F)Gu)84knV@*cKGKjrsu$>ehInN08Q)E8m5%x*D8BUegQfJ- zx%ILi>-{vndA_~Z%~(tJN%04S-1Ox33Lm8V`AG3Bx;b1yN9ygmhBH==I0^g*5?_js z(n0qmPe6oE^PaXfT|6*j_oNxSDID21;tA1nlRg7_rF2KWFDd`}CdY@S{$u|2;q#+6 zMEKWlu<@_IU1eN^f4#SnLA#&b@9|ziq}< zEfo)V|6I-w9CM#Nz4O2L{)M65K0Sr60DAs?RevAg{UhxkRTgx~K;924aPx8gCB?6T zWeWs%l8U6mL%B~J&F>N)^@i-)-oKOUmD)qc_pj&aCh5A0%qa7NG~Tl7-~aRL%Sq2F zWqN)f1xc+4g=JdlXsc^8QMRrGU%!Rc{!2(F<2iNzT%@ z`>Za%cJ?3r{O^;%_hcZ0+)g65y*fXN+pqR7w&l(?J=fUZ`N>6iI;cK8FqZex9vu0Lvm?o1%he>uMl z|5C2kdIG_%>u;W}*vk(u7j=F9RIg`4Al{D4{qv)&4rZMtB>?H0CGE#=Z|~)BONs6XSM!{ zmw!~RI8H>DS*^iYLFWf0{t<8-ScoikLFI)51Y}54m0O z-UD&DU;i}4^Yehb{zw!Jra!dxvq=ZtmWAmoVB1d7;0jBA~(M*i#h`5c6A0p$Gz+5epwZh${9z7J{pE1v#!`M0I#`4VsbYyRgV z-EE6ZzidCkzx+K$|5d2x@>T2bd--dlz#mWHRt&6u>e2RtHW}YXb^Tqu^lSYa6VVQ@ z{{vzc`cGVcv9GV;b`|^hlh^;c{%8k9bp~=d<@nv}e}58j{u+Wi?Qzio$oT|>@ch#w z&%YyjTm75y5`9NpbOQ4FSMKkE`j6{R*FVMMukE*Z^jiO2AUD--Tuym@0{mNfy0Qhx ztouJaUv>HIhKRZYc{?x1Z^%DhFKYVYr9XE4arw3VpAWfv0J)wD-1%9jztge(L6`cM zD%kk~!JP|maUqb`zo>tl!x8?$WRJG#=lNQ4_SX|~4+Qe|U;5`a*pjd~V;`SCaJu{L zXD`rQ0p$5F+pizWCHMGsOT_wMO8-Tm>kXvm>Q>etEkAl?L0|)KKjpj{f?L}!k5}7I zA4GIHMab|xp>Ee1{vFys^kRhX4@?Fskn0P6`pylGTV?F8p~pX$ApE63K2DMCcjG<{ zYQH+$XutIL-M*mf2jt}}#XtYfw13h^@$B#KAAi#Po=RpDf#f=u;bH)gmlHXD^6H-h zM)}k0%ZrzOU4PiplfIRh+W!6-dPhKA{`t|@;(=*@vkn)GZqn&1WBlFNr@snx*HDCo zQJx>^-G+`v?Y|B}_^S)k`PX%Xx{MtEQINk&f84HOuYWncE z<@I8`33$E@$Erq)H*y#W2?@zaYZYYqqA9DT*^VhswW+UGCzh4Xk-{C;B z{dX{bZQ38zXSU^!=UhbT~&3T6n|JsXv`q7{p17slUZ#Dk;%$PsO z5){rh|GEBj`tLwQV}U%J-k+wl_FwLT+%rfag)!7xh{p4~KiBOL-(N|7zovB3ck#)f zbrX@}txIv&8s6g@il{jHv(C9ZO7mWrMN5r5^u14Z3H5-2R=Y-;WTynEI3Xf}gGaxLw3P z|7h9|@t=u{=YgD$tpA=)-Zo*&_eT4v*RMPWx>>-8{B%ks~?^abxfhjjn> zCD6SA7((Vhlt(; zn&mh2%ky%Bz(dCT$GI`{kJkRp2j91VTu%A@r{$cxZ@Mtgn19gqw{7}){#EtmUjV-E z0C_tp`FrbUcSNkeBRLm>?(HJ!W&g)>G}>&8KXv_MD?jlA8v(SgKY9AK{l1Hc7Ey!@ zoB8_-aC)u3;>oY;FI#$U|GNEK0(sv9ayg~`TO|&uJ8rvizD6fO$+YDkP5NT2Vl|MD6Vme{J(Wn*FSW-qr(oK1uzp3xB|W(fIzCBM{tKhl`JZ5&7pm zkKCV(?9o}`?Kv4+-}*I4{Hxo?^E&)1 z0rCIrdhh%E;3|KppIpT^AJ56JRMu18kIFS6`I*waBf_U3cRabQxNGI!=5y~X13o9f zA1ncWfexM%=DX_rUb-iwdL59uw6jR>wI8L#=LUIxx%KNb$XP1 z^q%-qIvnv;)9?Y`6~K@9rsAIHC_N6&C60VQX2&!8e}1WwQ2LF`PbEhh;-&ZkLivT$ zJt66d?n&+pamO6@x>jw1;`sLZ@~3U{cRc&(itsxnz3cZB&mQSDIcWx^hw2@=H~o2uK0{1xbL87MBS?7ZS~priOH9-^oDI390J0WyF6Gw+Autz37v4(Ek&y^#IK zzaGJ^KWL68sJz4!K(ZsXVFML^0*T4+C$k zI^y1h_a5Y4Bj~m=F0z3<{qnr)=Z0T!%eXwZ9ub65^b&NNfr~TgL1C2p;(E7v2coVA zJrUt+0(tqD>lwW7fxC_G@%nqw&T|}P`r|+~`pf}U+Jr1ok z>TkUst19TK0lA#gpLw|Yp3dc}ClK6vK9R?((|KIzg*9h`M{ipr+(~GIroBvItT=JYU82~koq&~R<1`{_{7M5tu`6o!x{<% zw=RFw&r@_d{dE!1IY3^1q(3YAKfGSADG=P6Ki9vuA8MECBSOw65q#De>!D)Lf1ds- zB_@AE$emN9{3-r^g{gS2K(~L5@Vq&Y*HiL)Qir|kcK&CDk^fEo_Ny`IngAKd^MXP< z!y8g8GU|WrPi|X&xLxY{w<#Dl1Df_zv_Ea^`sekRwjW#hxn5)MKXd-N{j%lH?O)e_ zEupuLK+Z?n|DJ*`m##SMw!wQ3L_a~dt#Hu}$lK|FXfUtJ@j0h_8g=}4F6i1)goQEu zJ?X>yx>np~uIJYEPiur1KyD|}e!cx}KR3Q->h+A2E=(x<<1rN-)&G(Gcd)arf4E*t zF8^%vpYzxGZ%dy<3HDIezwPn71CWm&>= znEzV%_eIqGjJkpD5+LvY$o+_JzM{ri4G;3~(KIfTG~Geh8))W#Uhj#`#{OrwvEO@3 zUw`L;?m{51KV<*o>$Ez}=dCl=Q#2O{?wpT{3xK@+mg~Vvxj%Og$lVjj?Oe9s-fy0< zoxA6xt3`q%YOe?)XS zklU{ufApR{${oJfSdXdqry1{}M=H9%}h-!1Eh{JpZIWf8EslZ41r)Ky?4vmOsze zfB-vZFfM3*IHLTz;R&?$#(w>J{8l{v+Wv0_|KUJh{$%^r>aEJH-dbtYKYBg*5YP<+ z^88Padfpa-JGbCsD3I$(@-LD7K>xb=Ut9fiy<`a_H}3K~0uhY_n*CRG-lpjfSJUTz z8|ZEaayg~`yecfzWpF6ECGY~XbQ!JVkk>^JZUn(5*uR9`^Ld4|n4E6d;#V z?#J=y8^_PszSHmr(Een1f$kxoX@5?g*FLKY7zgC`N98AS{*&l!<>&dL z+t2Zc=suv?eyINY#)$rVto)ctOs~#`s&$-`eu$@#_A=gWx+E$n)6|>T&6vKYJK*KT@RpdOt0mt}1@{ zx78oFA8r4(^wIL)mY&P6`9FqqKMv&3Sma$=^OaYFUm4@imV(0B^5^mgeEO+~=s6&- zzvOwB4S(z2xLKa@{aufLp8(xVAlI{;f83zXD^9_C1==6$Nj#qcbJ%Z#CM#ca?s)G(?f}33d=bz06n;bK$3X#(5TfeEOF_w-Ct7iCjOl?r8I&ZFfc859DRg%?C1&=fyg2hrgfiGrphd z`sWo8yb3hy5Ax^Z&$9*bvCY3|_WK$ldL5Wd5ql`xKlt-=z0?#G%$7g5AKibQi-_I? z@^UK2X_)`xf^LFt-@(PZKt6txdQMg6MRWV9?b8=8|Fr$u(sR4c_W3V{ z+-re6T)I5ZqVA*vi97iCHPqg(zm|Y*DUkP5Wcdvr2QquBvHr1%Kyc?hT)YqD<(%e8 zBKz-TXSV6*^-sx_zh#hn4JD{BhFS^lR<1wf<1hXFY&pWO1oHYr_Wv+`u88*v>iPQr z0M9=J@_Jg1zj0nUw@Yn*xu9DCB)zIz$>00^@AtpBUDiUn9A}kEptBmt^^}5e|NH6Z z`Ks%Wbx8LHAn(6O`@w!N+%6kKFOKsO=+*rZM`wVvs>{RJ=?s31`|Sbxj= zKf3>CD?jNQ(F`}J2-jD93{TF$kfaml+AYSx={aGN!8hL> zdFG9myl{J2v15Dqmw@-=pDgW1{eUJt$z4u_Pu-qyWdP^W5`WV#p6r(1ll+btGv)oe z-tAjnv_EOVl>6!?ic7s;g0as+GUSLJkJ>+?Ji-y5p!n&W&wo7U^JMYTobay#-V^^6 z(P7Y?*Uzm~QFzM*DpwGm8J(02{uPVn8>09LNj|zK|Lru;Q@< zyk7>+aZeU4Jij#^k9tq{)UP2uWWbL*E$TVP%I+&e4o&w%e)vc628HsgFNbiXAIe9< z$aHe~=zMRoa~+QgNBenDK9M{D(dy06ntd%RiPODbviLddUcRNAXmd14o_wApmj8SI z9p5jDluyO0qEs)a+%M`4#=*8;-1SY%fB?ys{K{_H%|$Q&Yz`? zTvaVi3~1G0SL((zG0OYV{s^f^j~Rc4`s`ZOJpbGb7eu-u?JB(Lrm{Q-J3|#H@FDp# z#G(Gnzv{m{%{a%J;?e2x(l3b4JdZmv{YqaHKAJu=#QMS6Z$7^?9r`!RC+UaeiN+^G zyz_SWmx6sU{yZO5yF>AjoEfkmqNnmf^%Om)@H!vV{u?AGz0VLOwI9MIM?TK^$M!?0 zB=C;nn)&Po6MW~1>vw6#xP z7JR86%;#NF#MUEfe_j4u?}uR9p9@feJ!~N8)|Nh6f0E+m@*#FPAF%aL&bKTce=1M* z<5AMHk}T6te+7sd1oD1A^)GiB>ml`gBz>o@1bVKgpqTaSA-Pl2R>L1rucxMdHt+8v zvfQpB5BbmKkNtc}ZkIa!#nV6aPwn;3_2LMm(E58i&lhTM948$Soe$*U5=Gvw<#Q(A z`i*-PF$`noAiw-o#`88nvIljWF4pZnmeIK9*Zg~CsGm=t0lHIwyc`s`yJwHS@XX)y z+=h7Xf#@UX_C#D%0VdE34->`w<83FbPd#Xi=ktBA43s0v${$AAi)H6U= z6Ugn1`hD}F*8jHlPyGYMCR>1=b0#io0lA*2{VBcvT(;@w_7i*i!ONwdkE3#Z4)n+M zEbG4?>kWSS;OG2&MW?Mm@QCxZIUnk0Wz(;tn#9um@=5>yyNErhz=ZPZ`- ze8&0+-weq0C)eY6{@7cL@3DG4Y6H+U2J-SJ{XwxGL^9qhs3+)_+QmkAz{AP)Jf(a+ zeG|yt6v*vI)<5XK@p?J-{u^(aL*T2#1$F}_Pbm{sx2ZGRgFVlWR_KCIjKk}K; ze(C;i3(&Wu1Qo{cdVnI^uPi~qY~|))0?r`PGngth;G>nTx8Tzx{DG4K8uu^uiy{p<9%MMPbIyqwT{(6`2ZBzpYS4s`8- zy#A2u`QMmXEus0L2>V0uxXVumMAQ+;%c(ry!ds8G$2i}!rihQfpIuHTMAR9`?Ns+4 zc=^qYnSTNa>|x2-UsuF?9*f_*nf2737DD-x9WeB#&qwJ7y6%zmvY+2vsK;B4?}_n_ zKeYbiEq}K3yj<$?a{`eWBWPnXu;MUbN}2~-%v`(|K&f0`dsubcVfuigmX zr!XB|=e8G4Ipxno^F!*D?myY4pXQkqeIr3EF2=55p@YWx;(9-m{-C=G$n_-KpS6v`Js4v>rq2J%KsNx$>sjefi1Nex z#qrkv+I}ww-z$N<{3ZJ9vH84EmOyal3S0~XCeaHIC4CfsXbKi@{@K#=`Xl!8&&!2w zzXl;8R|C2J3fz)f&mYZxuL0ldf!uzj{T(I|GSR5Bk|q?ah+fP--PG40Xd%ncS`nudyhPN#O=iB z2MD^o85cu=y#7G{H}`iV|1*91A)vbj$UwA3ICDK;?D~slzqaK!8vQT`JOaqWrHj7a zhy1UM{-5@z8V_{-4gj+mY`3foA<3Oulu%qTyebKiU3=f4QF+`>`}o&*iI- z{1^V+qrmxJOaC~?Js!yIN9G^qe|Wjl=Y!eW53kp23b1qT!^H%8P#ER;^6J*KpOUj* zTlsmuYWtrEd0#CoH(iHvL}u2o{@*(Xxj$y8m*0L)Lf9992}J8*y6_+;&&^`bd-(JZ z;Q50<(|$v8{m8+bea884T?9o}y!7k-_hdx$Xp#J-Ki}}O4VT=z+gLx++2{Wd=pF`| z^`G}Rw83cqb@{WEzYOA6kR|B$5nN0Gayysv*VvDd+i&dipFCePeEzobb9%?8e++Uz z0c0S{Pw0<_ULRX`k1>98efq~iFcrwlKkUyj&)1B7KWVQ2*wfF;U%;3DNyz;akcX4s zzlRJ?=zikI#(p9+FXlMYKsO!8(=Xe9@B7aOM*FGv<1JqP>G78>Jx`Y|e@{d1XMo&J zp{LLmR^+f1ZhmW&`>67iqsk2c0rC+1yV} zj~|}{-3vgT|FWFHAA!fK+pk%mdmhN^FDgG~`=!foy!rok(erU(ra*Gz&c8W`=oKKZ zC!*Ppw%?aP_c94o7(ifSzVm zv%|)I?i~bz$KC#XfQVKBxt>zQz{TMOJbA|X;+lUh=vD%GJ0t5ad_OSlpY*u`bRPm4 z$nUoz%J&DNx79ySmm`ReEj{s5bg|n%=Z}7=jBGUo*$m`%BFA4&_167I?{ZJZdj)L; z-LApKM?g+5`~RLl{*I{q&$Xai2juOHBlqJEJM@;`{T$ar?hQbmPqP06`$@uk1zCb_ z6Aur)`*Jo(I~@mwzkh zb^tlF!1}j6#`+t*{%sowwsS&t7it!D{U7DCZTijjgV@>96F)^)a^?RM2(lB%`6T-L zA@P1e?EMcOZ|w5(dLdgtTqn9e_%17daPK_vr<298I%RJ>-mR>t@a{nQ_q(gk1^>kz z?ydj)0iQ2?xrI8H`1gqCO0F`3&V%>da&!KJa8&P8JOQL5AST`){*@Cqc)zluxA#jF zlO~3L10Iphc79A?W4b(+UFnh*G`fC+WR8>wfEWhYqwMxWcX_*io_fbFYB)sS2$^!S5gVisa{&8N^^9K?^R~g9r zMd@NX&OfS#_X;}s{E1%x?m@0C8l%IF=q!5F z>0YblU7L;XRgHc9lU`DaqIa5!`6=h_d%F4>!(XA1py0OYr+ij)Sw4M5L=*&)KGbcZ z=<#A$fGx)NT0P!L1zjZ|*^#=H-;3ez#QE#>PPX!MyQKQje!UJa7t~L)r|0&A`dB8? zR{nVTb9&7`1A0FZNc9PB1)X19vifrb;FuF;n)yDTy-Ts~py1GTuQ~k5lX#X_- z+MufgpgP>;>^0zo`4Zu_D0-`0M3`HP*N*I&B)*F(DN0~!1eeD7!ofg3Tw>4w@F zGyh`OAJ>2E?Z;n5-xNu0MoBJ=p_W43ZjO7tKcR5EP5|-R+dr?@bpJ00@wQ;`(@k^m zIc%)=insj5o`2EO-wL9R2l8;T{+=>@QRAB5xo=RC!WbGV==NM(+(8ctV{S(=Wp?}Z zw-5ipZD07g(C3%5#`6(CUe41+gP&7=IAvJAOMJXwx%&K)HlP~}tEOz88=X#)Bx&@%}8y9P(@xO~uIm+Bcsuh+{85OfEc_3x~EKkxfg_iuRnAL>M8 zPFv7*1M>C{^>^rNqy32V*X|5@o_;yML2wE1f35uWgWQ(_xt>w~mtudX z%OLjvARoWd`JbN{)y=wj2rl0Fyr~f+0eIt8{{4X5skq z#;bo`|7rWTl|Neg$3k!S02zp`V%E`c2hQAYSLffIAP50@`AZkhpY(t40^QxfWS|0R z|53^>>9ct0kJtWV&ws9eoqzWtz2k~ZzifYyeokL{?Dsy%y|GC7W&U4S_qL19{nEV= z?>)%7+W-DB0nZ-#r%GdmPC1EZeU?nLm3JbdLc|`*Es;3-AhK{y6se3ts-?ZU43X zOoiM}0D1n){bv7?`bXQ}-(~+iUv>JYBi+vfx&2D}|Ed3q2e#~VPse)?Lgxv(eF_)P z0?qM5-r+s#-=DkBm_KRg(?1QmXMkq?_1Dz@C8z%xkb4%;wEtY}m(1st^?o5ULH8Vx zm(xU{9F0J)C1(D-Txt3jR05q>ff4!degEIW_ZxCL`21&s?nNNi zpZxypEtpEkVbbHMi%AeUeAPg46m^5;!`{x5;8(UPsuuKwi%Deigi4sw;>^@$x_R^26;i+vh(Ig1iaj z;ZhJT^7|8lThD()tN(4&pFj*f3_vc&c?-|q21eNL)5-D#QggqJ+J66M0q7P2xt!_3 znH288eqfBBb^p~?ey&$t|Jc%Vxpez!OCPQNdl%_m0W{l>(3aT^Uz_r=v3{z(KyYUf zE*1m1{mc4i(FI4Uf4VYa{VdVj${#KLOAyg=ijZL|jNg_QvQPAyXTxjuQ7hs?cWyA zZ3S{Y(fso&xbp~S&Hvt z(0x)QeWIZLdquog5c_`Zyj`v*D7u}v*ahVFBkOO>pYVRcKiz-P_Ol0ae+DGIs#|Km zw;J`29{=tI-KRia&Sd}hj_?3zz0v=RxBODOXg_}D`mZV=u66sv)1}K#bbtAMR{rwd zcF1Q|z`4<7L?!R{U$?&Jxcr;jWn2^aSKumt=bv09w_pBzzxk=VdR*Rq^l{hg?hN|_ z;T-ry7U0}-I?tTSAH_pRdd+t?Z4Ccp`B6V0y-!5E6c0UjggQ69tWW2quTMGuUPTuW zVejg*ZU7sbbfX;kR<%6DQzz;T6{NA>6+2xCqMPB$=`km#)y~_sOIPm*` zf6lPl7oh^;tpvIt_8UmU^VBHv5})KK?*rnMv?uR4^~&<_8&C56a~>=T`4+>FA;vw zdS3};2iiVW_yGK|DIJu)Amj=9=g=#Ee#&>^L-i@q>GR-~zjiwOqA6cZy6E{i?9zpI zzAz>z5-(0YXTgk0kfW?|p1J0$(v$DLU;mLe0;dL*ANeVjMBA^vJ?XBdsh~^q?M&&T zvQTuCj^LmAajW{K;{RjsJHV?dwzjt+ghL47Bt$_$2{B*<#L#QlLq{osAcCTTSWpxZ zQL*8{g4j{9H|$tYiUk!kNEMV`r5HfEB^ET-&+Gl??0MIotT{Q~opVm~=6=tAo;-Q? z%$_xC&6+iJPw~%xP`=^8{r(% zhnCN)?)sBmk)3Dy`}j!?y3d{4p&7q+Kezt|`IqVIMb+yh7a@fYhzou^TK?4(zjR#v zbH~-%F1VeTbeXyAS=@e|8)DAKPD_F89|jiP&Gi#Abhe7o`{{38+A|JB4k2 zi?|P+f>C(tzw&w561UHRj-xNwSnLiUf-r`L335`uB^4gLf0rhve&G~stGbP!XYIIt z|C;(u)c>XU5S^HJ(TjWbuU&53hpYFOk-RA&p!6uG9N&7s`Nsa%*yo2xJ{4cCQ0O=` z9;0yup?WXRA7001@i!>;N^C3BxN8O)c zD?is?PJ-#z@~1;?>dF% zHvf3Npy{(9_ensme|ewB*Yj2^d-xz9pO>mXjs{(AAWwgZn|JM9jSv2`JL>+7V?b96 z$n9L;htBhr+Ov4e50#5}>9zijh1_+4T+cM_*lwI>-&P>Fa~vM(kO#vqV)~)~{XQw% z{O9`17R1Jup4Tfn{l_DshCpfulrv3a*9gyVt~2Hr^!KF`Kvy4V*5B$tt!2jd;f4ai zoqBl42J&`-^j~r3*K;8Ei9lX{WPkC{raxx&`p}qP(fi|U^N*KnJwK8Qz72pp|ET@0 zxcakAKQEWM{O2LvCj+TJp`28ISKRbBhTJX7ls{Rl>GA%r5BAz-e4p$t5Zq~khf{#O z{G^Gte=fZ9wCcNz?~~1ZdRzVT`bXPeQ}As8n#R6zVI?)rfE@=y0)TOqxjSi0dT>?sPL$#`YK!ez$y!FK-mgZgC!AmQzd zEPvfcEX$SWbELEQ+xYZt;NKR=%enl%)3s=6^St*A`)w^KI@|Q~cxgUWu7E*A9VtSF zE&T5j)IV3RTL}u*9uFOWoKLbC9%X$I(I+auEj_nuo&UDI3Uw*p5{~@4R{<2RPl5zCL@7=MC zew0t&9sa$5yq+&{*VO<0zD8BPcZZawpFUEMvj-k}0#oUQhg$!M+8@tN;PXg?YK-{yj%OH}?oi0BL; z?|&x?+F#23oBH|R7j*rATz*-9d%xwz{<>`V+mFAv{&o4aO+UBG*xP?zE_DB8fJ&e< z1<2*h6thkXE$Z_8K9}_51uGiv>+ej^T?^#pSDw#x_oh<{C+z0un-mW7=?8-D93Yod z&VR|<5AQcxL#wQf8gaJSHvnmw<}$Lor{Pr1oCil{^rj) zH~loLi0=<@PV@N>1KkB>(#!Ji&7Uqd)(5ur>CXe*`9R)&N_y|N+*scdd;fu_OV_`) z`OoRK{)Q_7oe@B8Cz-H zA8C4!pHJts7YH7)zn=UR_7c<4|K#yjoc(2&Lf|WaDJ%iWV(h+qt5n-~&=^1H{`V+^ zzl_n5qm?KsTtD+4Bh2$bas-92%|C8e+I}xbM5BSc{@44Pc>R;;{Bfe?PuHJULT>6G zrjlYjr1pQG(SOMk6l@G0t^)G(%k_;>?2qVe^&hSL*wS+4=2|* zmi*DI=fS1M_fuW}-Uzx|fV`hA`~Ntfn%8T3{`V%(-3;XEm*<04@b&Sw`seni^?xhU z9RhOw$@#ZF)z?lN@|MwlHxmeMy*`lVtL{J8%Fpv9-{*fD1i2l^<(K`Z3mGNs0zplUU1l?pHuV4~3`N7uiP zL+&SleEvA7CD{k#Z)Ujp)cmib>#UgtV*l`($O`De?Ymuubry$rsu06Dbv?~~{Dqrbn# z$3I69A6t5^KVAM`LqwlYgbWLW*mvxU0eK&9erf;00e=3^fdA`2-hRpP(=jK6>ixdO zZBm*()L)R(R{okq;GrIWyaE3OK(qdLHZ7lc=#8Dm_($JQ@FwWq0`ht$Svb45SGwho zt^9riN7w(h@^kyw_4iEhodY!MFX3J2xWSlzl6HmP+rW2#y#1H;@*X+w zex0-S8vT#h^~d?^_HPjwE(Y@Ui|nW3+JE%@l}oJlS9-}VP8G?&Wo+*`wvreqZv~xp z=I^fB$McJ;)bbOs82coTz)kt+>r<%kNkDoZ5Ow=Ld%;c1D~s=ropO55Uz0_npN6)1 zBBu(%QF)|%%@U($zPIU|(Urx%=XwnJ{<37;_eu8=oBUFQ+7BAZcXrJV@~Uj4 z?+e1)zJ5+q)54|hC;s2}&!!^(Ne+rHh<#_oCy0Gwm7p&Q=ZFp0w?5RNPIdTGIuWkU-c&W$nGe7Q1rX%#`RC{r1x34-#aLHy68RGAGyi?$e-M_kCpssza^Cq z9j;Hov7erIC_`L1=ktb7UqRusM3sTx%pH@TAui~0Q`PSpXnx8rX#X;$hvKJtiNecz z((A92oA#M%x5_W#Oa3HZw0x)cS;qch(m%yRdZze^E-1?D{@(`M&Tai4+n-on?oT`% zu|M&!&HhCCKE(S`sva*q>o@m^${75g;E#`!;L{FBZsklC0e8UCj+2YsNqFx;Xp|r) z^&1<)!yF&>f4AmqlP})qwjqKr3cbH88U8hZy?$*b94??{JIVrtq z@ZkN!5_eSQuRGpZ{-rU#(fb=|+(B~leprcHEbmVak8gOqc|L!d&q)P;u0Op$k@Td3 z1$_Mn%9IdM1O2lD(&7Dbq!<@!(b`$FvU zbGy*<8$rl@JdmeTe&4L$_2Ro;-)8Ku>*U){2Iw-&OuwZ6Om6R3yTMo=-%KEQob%%W zpPuHu>QaQIQJgMBOYZ=EV|}1Lej0@dC}&U)+P?dA{ZduybnT;aDKarJU3c|NrHm>m~N` z7mfY|=)D1u+7snW7S72#KACglW@CO!+h0A<uo>n{fkPXuy4GX36fzVUrG8~*n7cQpRC^7C?;X#MRZD8HsZNh!$52Xg&k ze^}98m+Bc6O!)lsKzA~bfxo`&SL6KY@=JdsFgyil)}R0G{h?Oh4xLdHbu| z58M1t)P9m6A3%_^DIQJ*Qa?~RX`E4U>)&ROyE%}zb8>%Kl~u95F&7M7(0f(X_PZtMS^-V_`>Xdyw+3GtpK$&aKmTp>kC#6h zPdiR~r2jM^4_D#_@9*`;r{fOr`#0qN6a;rV;GqYQ+lka)-#eRzyDSBXIIGG4aoH`_c!7DD(_dtzP^B`U+d3S z|4EP!AjoM;&-LeLo6{2!^#by6luyOR{uoUkAAj9{OO*a}$bB}D+o{}N;!P0lb*X;$ zf`tYP1b2Glp&!sJKgxTbG5+i*5Zvj5hrU45ehRTajMpoA{AingE?2J4-N@h4QE%-x`u|$~{-8Sx$RN~K6b_ow`sP2k82vvz{uls)K|o%Akeq9b z@5}oB%rikZuuOV6{*5w!LUtaX{`CBZEj{s5VwRu%+w$l6nkAsFgzMiSi0E93ur$j1 zr}B4SHEi$5T`u*r)$20^1sjTobI5~XzEIAJ+kYJfc}D_y`(NS;`E@aG*w-!}AN51J z9OpdHoe$*YT<#C?_E&#pjNkKodfWVuW`7re@9;AD%kpz^|3-c0uQtkm!9L&IF}%z ztAIS8(?roZ1s#&dY%%uN_VD>%3cAaIoKLcF-tX0aVEvDb_1W!x`ca^}49L?j=_~m7 zc{Jp{0?6%8&R?z{GdijFE5`R1-G8^WAKtFD6kz9EiH9*ju77zx8T7~N?|@Hl%b(jt zqV134^B)VjZ-^p4^}qP|MX&F>8g%1;=J;RrKfaEbe@AfZ^27C~<-Z0Iji(4pqny8* z?%m(KDeCvL`1G&&UkiQ{fGMTLWj%YWkce}+!;zyI6{y6HgDi*ja)2~BQ4 zbHwgqm%bAy{~kVl2z0jtc|9lRPk(uTZI_q!xpnZ~1G(;yoRjcy8_=wORsHv^G5#z+ z{oCe0*NZN{cR=pPfxQ1G$4_^4Us1T;*dOfZ_3?LtZYq%5Z>A^=ACGWDkum?&-q-(R z(A^E>??}I?I{S<#m|3TZot^RoV(fyBy zAopWs>QC-(x%95W`!6ms+AlqS`7r1n1#4~2bQ|m82`q=Z2+qJg;C!n_{fvG?R@_Z1Ce|f#0D=3(){9J!p{-+Sp(?G5# zk~8uB$vj@o{~7Ro9>~k7?7#h+^9`N_-E%-*Pmujq-1(3A@=uRnUqHHFE;Icl?h{Xj zfB!JbuP#3?g6<_CFaMNJ|JU?KcI`N?BHgb6dH*Ab^T`ew>mUC9{yVQfbpE{#x!(Zt z_Dl9Zx=i@mDcs}IJhK-pdxSu6>+v5izq6A`Te@^Oyrzs{hyt8xin9%f{pO| zUvGi#V<6YR9Dn??a=oHojrqUA{sO_BnRu8-9;H#vpF0QD{pU4H`#bvnxwqjz7s%~j zuHQ-R(cs#ouZ-^(`upWOpqm5adXn;gQ*YQ48`c=@Z!>}5&MZ942J-rg?DW6C{BgU` z{pWX)?hk-m|CvI0uQ9%V=HPjyq_TL7xNd~u43;$m#_Y)UD5ade$FzE9PPyLWj`c0uDX@4pOWjMNgoRkbZM0I zheo|s-sZ^2o(DCh45bj7a+_G@eZ zTz|U#v!&+-h(a<2w*JMUalL5$+0qj~ zC8m}?QTnw=_aPuJr*iz%uSsA=rR{D*y!Sxp^D)-Je}C!s^c*S>MH#PF`E%?p{{1VY z&*xi@up5A>MC+kEpMU37PxM~3)0n^PE+|-{>EDQmHUWA5OZ%%b?e4}qw(137;iIyCNoZcp22*pEKneK!d90#jH7Qvcrki&_8c_G=Hq zf5YhDkmrNb{3)-O^!_(n{YSGOTY9d)*y~@;U+dqNKewM8LFzhyhl4<~{3`Fr^R0;9 zmOoFwBVwiJ>5rYB*Ppuo9Q}NV!}jMx)h#Mffz$(Gwj}JTCS8ehdG{9pD`l zaRlc={AipHf&CedZx7H5xr^N~;oA3ox_6uW9dW()`F zvOneh$Ums2ryop$zay4}ll^V7D)x1&z@Ng)_E`N4e@8r8W6#9%&a5iD>!5B-7Ht12E6QAQD4W9^*YRF0F zAq2&9;cJKQ&cJ)}Pxsx9_tWt!w?A$X;ZsabKe;Nx(>w>sm4*AP=^kOydlv4Cr+lOL zk$gSna|}qYbdS51SJ736zKBl%=bez7&QTyYA@QMf>-<&er1We4iXZW( z{3m*fm)t}jEgaQjly0KS64l-)IBEUaWt#&pJHi+o)+J$2ORlDb5Z)(s;_}8RG5^yC0Z$B9-R=>Jf5hiRZ(| z1>HgVrugZ-mXp%&@d=SXA*DYce)vB8)A!Ryvs12rqNn_$cqx75ci;D$gkAG+Iw{Dlx@rKS8 zgMBt%bPelBx;XR>pCW{#-y|%dj8|#hp@;mtRp_M_G z3grE^5_cBP+a>u_ur>n09U4DWg$M68bxqe7XE3?sD9B!1bc%qwM;_ z=Jyn`|G#fPGnb#rojrfjk5Y3}Uw>)Pdvzd#P)mfXxaU3BfWXHAdH&1!NT*)Gxi@S! z)>G^Al7pbD1?2W8>pRQ`a{cJ>a0ckIfDA-;A;yk8c3SEpV?3?rBQily6G--~oN_+r zVENqlOXW<(tILm_{W}iV3-yZ~=V-`%43LMT{<~Rz9D(50-$Qu3nt!75*M=a+0;wKS zPLe-zJ?q~sf3)&n2ZGcEQhltPRDV`n{ht82JCrGZrl@`KvAc)V+VAGzy#l?SwjTW3 z1G%0u#nj_EeD+J>*L*!~srl$^(6s^b{Ld8q>l}D@Qon7+e70^s>w~T(&@8{he;h7P z?B5u1-!j=VrRyZn^KvTZV}IN6%ItI2yHr1U!9raGf;%VTAs5K&zY=$Jr9KMI#W_V4k$TqLUh*!v%xzt(?Kr2Et|(@*u+eB*m` zzCiGV+mC!i)Qlq3xaNzugm6}-4}5&vJ4XAh+ke~kht~^vg4i_2Lkl3UfBvfdNRH3n zR(`6ll$g5xZ3Veo19`YiF}BS8{IT}G9f#Y0`SrisLhg1zUVjGs?-5COuON2&=XxnW z{l}Montw;6tAM2s4*5N%qJIyh3G%lgGOxeoe%4u!KQ^n~_wGBT)0aKYAHNFtKLX_S zRGP?tz5Y{~_a1a7l%@||=F@kE|Bb-Z(%~GrA2fU(Wcq%0DD%J2r|$y)tAO0j<$bpU zP!-d>mbH(s#9AwGRq(Deaw`Q>>msX6!k^T#5W>Q_ZSNFcb=4G*UQxt+`VidTMh zu%yanqyE+7r|zKZ0W|Bc!bKbQ{#xa8V?Rjj^(Svvvjx~ioTtI-S>68fbS2vVNwoga z^~dQ*NN*sof8_Yn`&Hcjdtb=i56JDe#2ve2-k5_I6uAxX-h(*qOX2ya^>+s1?O!^6 z|M^sTo>jGtPoBEdJ<<1*51}&zIc@7t&R^&M07Ntf$n#H@-+wN8r+xDsd_Q`quU~%8 z1Rd26y!^=XxO$FHx@OlFWBk%vfXo?)hrvMJf0XCR)<}8g>QmMk<+qVfKL~VZ0U3nv zoAdgwpC-JXowt9w|6r?sZdbbhdNu?e0_6Ia<=^|QG33|l5p4PMdR5z>Ej_m%O@9vL zz5vKT>c8;X^ES&r<2={yg2J7Phx374&zWKk?knc?ryf5H1KoK*u4k%${;#cv(e^hS z>An)k%a2^og7Y|P;JpW>))S9_|0O`v{zAb?Pt46(WvmA-5D4yEh=-9to=^I|XWp;L z5eRNQ{^9ng$6psAqKko?KjnYLo&UWQa*qP?{G;*Xa-;vzQXqJo`qTY~%Mj7!K%P(X zJQtj2$n~o0-}veeUH^>+-z$K;|0C@e=V9@3t>ur8zqX(F=p6xZBmBl z8-Uz?P)`?bGuG4V`>w7A-8i6`|IXSW^^QBd-k3jVA`sj<{k&e+_186sh{h+}&N78l ztLo*Ax~(+qU!Mmy9`x6fK&4T(KOua-;C9teP_S$9a2@oU}Jp^S_eEQe@ms=3gL?G`cmAL&I z{cy)MlZ^G?ajd82^_Q;yZUx`lfZYC*MbNu1dzZ1EyNf_@CxnMdK(4=V{aMy}Xw5%9 z{ptL(rRVvt%g^nQdkT=-scgS-9{~G);OP15J3x0AkeBmJ%s+28z8~oR5$=(Bk2Z5ZAtiRuR zVgBTwJ~Ga;)%TIy3%dJ&sXzsizL&c1KArjN`5RmPr!jine%%lM2iSXZ==I#(es%p} z%b)8-w}0``>+&}hqCP|-mqxiBUOCP7OVh{4KT-J;rPuOLLwcVtoo;%T?SIj|4L%+6 z(=OhAIQ;|#c@z(i0eL>l?-zqE{ba(dBBTE#=N0g?)nByo|2X1#0?6$|)_>t&QIXOA z$yfgJl`VgsE?xgV8IE86o>IX7%kQ6sI8TzdOL>9<+Vbb=()sr^B6<$U<&@>$TOhr{ znE%N2`9A}?XMtQ!N$>rZ8|Ojk^v5Uv-(UW@{pj|4x=Nt)5|Haz?q{7aKJA#koA`an zrOwlO0dy|{dHbiw@6q}%w)*4ws`EcSdYykSL+;mry#0{nXV+(yio34n?T>%Yl;gYt zx>w6gKgQo7bNrEL`HQ{%=XTvtKwM`A9$p9X`5U?ZVqW+Q&}T;d(afi})jzi@oqunD z?@S=iXIcK1tMAXeU)I#;|0d|(0`hdq`3Ll0dAxsr`HPl*TmA9=W1gS>caZLPft-&# z&;PVOFH}oA$nTR2o#oTd0^MvNFQ<-}>eb(W8v7x2{b4IVmrLjW9PphBj3|Ge|A7iy z|Go#g=L5N&$?;S8Jk2w9Jd_-P;BmI!TL1G9 z(T6}@e$qsL?>@33qx~$u@ykcx`!SH$Kh*wK-2UeR$h{88K<)=G-1=s(cD2{Lr<8tC zsP~h90{?|Tp8vA``u&eSmzR9uHe&Ss1vx*(Lm`ltGueKnhrfT#G1mXK7YJ@`KRjM- zKepvRofvx9*605j{MQ0`Jul18o1?$mI&__}AHJJEeqIE+r9cL9{w?(S%I|74-@yAX zrN;k@L9hhK`6mnIJ>NJFOrNJ?n||K^N_75AkAIdy?lnLL;q#ovJ@wAUx$AlV#cA#9 zZ#f7)2XZ-O`|l-iwQ(MGb3uG;(;v-#Rv@C)W%5V)4=ppsPkR1&CFoWGdHpNTbMWe~ zS;qI@CIZ2oFYxds(5(MLSii;F#n}5_JpDTVZ1u?9Ny7fh zKiswFhcB)^;;MbYKf6i~zq^-szhB{|?}NTQ`ubAgli((K17h)_@UN1;AC~r4xAQh8 zQaHi@=&2qhH@#1Zh~M#kvfc826h0^xg^wlwtg;C28a#S&vgqdhlEr}=p4)%JbCpDX z_fCgX1`;2NzZm<;k22zO{C%)$zhouf&G}M1gjEm^?Pn*qx$l?ccCe5359piXA-Sp} zKC(xmi@wkC^y{vC@uJP?V*R@CkMvYcw9MW2UE1AM#s1AFj2qf4Al`d7{7V))cZ7eH z{q$3MRXRx?;!E~G{>84hjl5P>KiwDBo;;%VWO4_^)o1>;clOa$#it{_tF!5os@OlA zBGmoxI-KH1e9U~Jec7qTK6s)hI?_|I`_jElKRWPYHPPw*S=-kKsv-YOeWv>9R{V)x z`*)aKQ~p)+!>RKK%y>-x(2t;f>=bW6c+qvpF!ni9KbFE#`(e5R;q8*)1(T2`ODKJl zJanIYI?7*Uycyn4hga#*`LFaq`5P3gf9@#%YJgu*Ot~xk({8>$*3<*>H`5akYJYH0 z6nG5CPC*}{^ijDXJp@Dx@0S62YWjLma#OgV*mv$Hd(ZtO!^n3nU%%E{FM6ae0xMQM82wWsO?V0Px_>E zW{I=6)a~`|XPM&uyMGaTzs(d`%3z@v9d2x=l>H;eW}>_!y&+1UPPaN2A_M8v^d5g{ z&$NGBwG%p@lzbGPkm5Cw-cx>*-~Q-Nv+is9AKM>YUG9(G8nHimtIhssTA#q@anjWM z%IaU;BTB*eKf&*xC&8x$kle~C$A>8su6eKXckUf{??LEtK~Cy7QvZwhV`P0l`?B2L zt@pVdh#-uGLj^f)`m)&?3@fdWRgc|{6Dlli041`FXH{aNbQE>90PqF59EBL{S^OW|h z{B^*$E|8})8R5$N`=&1cw(@iR>HI$da-R&O`cOG#f9s;p)7H%0!OuH(T)+LO2fAD! zFQ?RBTN5!qhTu*%9_o`vX$*A|*;pUQ^G}~|V4Hs4u4M~ilY@s7$)hwD_VmwZ;PqO? zIWMpQ3922S)p$?>n>Q&&ywq zAU3x2(d2K0h#CWVKFjlEu)guH;@<>(PoV@cq++jlx0Rpgi|#))gQ(4cJfCF!gZ=TGKKA}w64MWjzwFyzZhyM|rSFzQ5kHqRSrkpZ zz4e%az3yqH`HOS?`nMJQ&jj*(lIK%=TlxCOT76^ek2~F`Zw}LJYRJF)40x$kRlGFT;CQvwD#Mc&dVOpG=sN+qoyz`Cl>3TEf42F@(@*me@!G#`KjP!B%TH&dyC0B& zwA0Wt`$ix6c8&3UR)3%C0)pN^o=*9F&fDL)%1vhx>-Du=;ok!op?`VXdX4*+7~`)d zf}-n&hweabzcQUTABxAT({HOk%5TLccKvgDM?hSEfAr~P$}i_nx)v>Mp7);7{x|gL zdx4JXH(q}epNhLa!B+pg|C!^bzYo&i7s$sC@_erUlk3~H{q;w>2LR3Tr@SlfdD8{mFwta5j*a^MIi5^E_Yv{`#Nm zRky#k<&URJ+uu1z_f=eRaCH<#Yr^~MzUKGsI(_{9$GHf336PIdW&L;kXCD?0GVYrw zwLfVX=tcs0{U_JAdk4*aXRNQ#7Xx|zQTmIG^_g0Kw)~^n zf1>o4Lhdm@26BB=VXaFS-0<7#i1~k#XA}so1e)z1^?!K(tF2%DE(6`=KyGKU{q*MV z&F=@g|7Dwg90*j6`ijCZ25Efb7SVu z?O)Fyj737O1@dsR{=)f!+%EL_c2|RLJdlTz=j;8O{l()zcMXt%zYnA0_CIX%kJl?& z|JNbG*RzC^qw8OEK3VMc$L&|we>Xr>S|85KiQHd0_0o5njX2J22a0`&9v&3DK zKB>;i>Ays@|3q(_|2$r;|A~m`ZXhpznIhj?FLKxzzv}thTS0dlkk4O~xV^juE_;pr zEja?goe&--0eL+`>!m7g`*%C!o&rn-DhP_H-uUe+nGM z+`r4s#Crv8{QBoU_&*8c{d7t1-M7BYn7`8ZZQc*M2Y{TvoWFW3{M%%l57bN`c*6aM z2NBW3KyLrZicjHsV|{zR@|QGILH7`lLHK+S%zyFrEB5gRw;$bp*xFAt`+o!iPXluO zCyT-x!v%1KQU4{{f71QWN5S_oAa8%<_@UmNhX>4CWz-*<-ZuTbUDWz}9DJVun)CN+ z!D+?4?=Qae2LzJqJdKBEfV};p^DQFNPxcref31I8dg7;(sYb2qu!c<(_-pYQ%M{NDs}{<8i!`mzCo9$(Mb-^hLe zf=BF+=H*Y;zux)MtBw9+Q=i_}exlXCuR)MENFatS<$d>MkAErH3_QFJ7EPZdd?Juox&TeRv70qcJ%FUCg|n>dHs_nl=pI@{nz`u-Ui+5GU?^~ zrFXvP9K(JZAzsIM2XwQ5y#1ki^1pxnj@xC9pMKl?=k*`y#c|$+-rfW9`a_O?@cowi z=f%uFTK)e%_}Hh4?r*v$kQpmKcoM~{VUG;Dck(xRi)<2W_$s1DEx;61$K_@}Zg?RW3$jd2} zvx@uucroN&2IS>jw%-%g`hg6*SD@?vCGcO$-oxRqe}3DjzxDVlKKs@EM_YPsSGxbP z9HM>>$@>9tzYot>y?*`+ z(0y4Zy{tdcf9CU=dj2iG^#A?!7uSo{-x{QQBQPTWe|FE`IC?%W|E1P%tp(i%AkSy1 zf7}<&{q_98I?$~L@_eHDqvFm#+U9?>_QRIG2K1w#K#+4Y9<~6@`dfKd-1YC#_lIw_ z-yeP?Rm@#oztzGCmBqa!$!C6k!%;$|yV$+`lr6WNvL#9U*khpFIxO$YUe#{@GuQm- zZVg}8{4C9HJGhtiCzt3H(mra6&%r&>|G$+*8c#Sh2t>85xB#{J*{?ANCEgywzBR6l6`(e^u+ zz0Wf!etV?BtjpZ0;985uQ^#PIs0b$NB)jzzO?qp`Y7ed==zliobuK!YOq8@X9UQH}9v@N$zO(eXI8*2j#op z9t-uJ#(flTQ2g)vO|yjB$6U?WPaG8L+yUAzpN{w`-VC^@KT7#VNa5(cBfh@rhXudw ztOotiecf7KZ@5smh7m8tLrC!j3_B!!l71*W?Srmv$R8BfFFyY2p4)@4({xe8`&AR( zwf1YtE+{?8QS;UDenF#rML(ZFh1c>C{m|uIj+ryHI?4&@o6-w8LN%~2oAgie1+g!j z(iy~l?`neh{qOtDNl%n+lFt#J-0^GXSG_6zs(ySVccTgIDxdmVP|T`)uKWv%-0!Ez zo2P>!$NR}~fcFccT$%g8wfrhvmcLJ0xzoi-*Ig+8$SzF1kes9^I`4qoS^j<9D*dE4 z{hs7gNbzOizVJ+?*R7d;dcOQ3{G)Vf`=xkPeN|Ik$$Urrk0vZ&bBWX``x-N*`6D z->6{kq){2Yj~bQPQ$^=EqiXhaiQQ`jQr{5dv2Zs3Lmr9^Z1@eAsiJO0C+Q{v< z9&iir-h;xyf}9k-3OqRf5_kGfO-H}B$DIGw=QGo|A_erk|0dTT{G0jPf7gG^#{3W0 zE7_&}{sBs-5>xlzslQI?=JHcJ5P7~B>F?jkPvLmHetR3|_)(8PX}+X67?B+)XPOv3 z=lx~BJiX7@zkjB0KWU(A2BiE{PSh`Tce+jRUO|7KzB>Gy0?8hgGfk|i96n!sv)dT& zJ&^ZXkv`Jle>{-#K{@6ArEmM(c=B88-8{VaK;BP9P8wI#g$LQ8azg&1mB#sU!sj0Z zU7a%N<@(ua8!r5^U^yQ@mfF9X0lMRW48-YT`c21;`0%xb#`pUIpMNF@Y5~a}l~bM{ z@OyXx@yEvcM?HU26LiM_8HAdP(7f;k^D~U|*;)z;mxYI;f!uyd+~Jr%;N_3n0sHbt z`K{PcI}&`)qI|X2e>C}R z^&c(&b0GK0KnCIaO}+UibN#bkzkDJHav32U^80zwG3tIDZvTx01y5A|28gI3kn@r2 zkD{!fC4JiR=k}lN%YPF1Qv1N`e_4N5@ceHC`Kf*6_OI6;bGvTnr{7k8q;JJemp^LP zPk|iN4^&QB{-W%^M{w)@OEmtr^7DMn5ybygJmdp;IY;~N{P%x9j;6mBNOx->&%ZQL z96pxuNQtq3GFKqD(-IG@%A}|Hp^CeHy$$4U3*_}rK#iZ4?TXmHhTzur%j<95ezZeG z?SZ_W%JkcxX!N%BA1(jmqjvF5 ze6Rlf);Ql)>n}d}b^T>a&-Jgn$n#mAfB16XkF$O_MI9~ z^Gmw>^ACeSHxkJ6N%r5p1BUnW`Hxcf3!eqLbAa4_Ri0BF+4@dS}alc=Tf!tRCxt`?x zyp>;ixcyOk-THX1;50$bMD;fo5#0pj^{lKv{&`*Qp>KD)*~Bo6rS@-J4gc$a0iXgo ze?RVjZclr32X8-1-ET7v;jaPm`df~_FCBJoa;uF-{het0MfJMlj0fLqf!uy%xC(y$ z!1a*(Mj+R}JilS?qt_4Z@TIYTQ1>4ufbIq$@BhpGueX3@uCf0v_VuH@U)4~6U7Y<7 zUH{nHf3*7dW(aa8ke5GsKXSwN6HmB*m$CmtpMQG`=q3WW{mAc+^7OJJFYGeb4>u7A zZk>K!E*+o#Rz!3M(9HjkcVWYpsQDKH-R(eL{$&1N65haX_CNLcIg>zl8<5)%$+_I< ze`X5=w@yFTE5&R7{etIz?U?x|k-#46{)4UkartAnUp{`*{fE0C*F2zUzfRk!|E%%a zewX^kUa-(b{`hAK=}K?-g{6uM3B=q{ak-q|MwuGXMtRPIe$C* za6!vOd)?N=FpQaW1f3m0e^q;8x>hkvxWFYIWLhYwXH_kV5adHK`y??UePfIOemgmZlO1Mb48<0o7G(dys#!S@3o&%a=W z-~as~Ml+`U`S?golrTJfGzGY50E5^{3C@wbehjAKm}6 zrRQ?#^1A?XF9w?SA6i;4;gwf68SQspf#A+3cvwUp3_FUDxBg(KF@K}muTK%a5XkK} zSvZe%em(!kRYv!-L~$6o$9{~Vvct^B@wTYBQB#Ed=vf}}7HX+>SWg`1v){g6o_e2Z=8MMo)r;fOne zT>|y*@b!rOUjM@V$qx3hA-tS1@#1rQyM>$X{q^-}gro4qF74-3`&56AkX!A?N*3W= zW+z>j>2l&K3Ns-ssBOk zJ?+Cx^68_chxU=FbX7-qiih}SsqOKz)5XcJOgr=RldJjrU)BD#Xz~}k>Ymgp*f&c0 zpm-hZD<(G~$xr$x{S~`wyVdO5a&4Lzz2d1kuf9d;4`9D@RiW;at%iNf^q%yl<5&0l zQa+GBc(rZbFiMwx z?_JA1g4|iyS4-|_`lI&&@miY&2m4-?iG9Wtp7@d-Qur*?Gc}POaub~nclj%W``EwwWCr%Z62C0$3#a%9b-t_ns%xU06MvG2_z@kYr~K|C&U*6a z|J;4VHROH7+amUpZnN1>+EHbI!~1>7;($C?pybnE+@J7X!306hBs`o5B)4)Vi?$zh zT{G<9cWxIV2xDldKOa;H{+U3|zr>x_wy@{w!Qb%xc+LQU;7&3gGRUJe7M>=aXg5Fa zinn$|oew8|>7XNdlvA#U{Ura%MzuE@>sj@9fcl@*kK_F&y&t4{X}KJI9~1T8Q}Len zN3kA0w8)r`&leOOg{OHe&R?&mr*ta1M8|VfZtUk{xLw3f&*jhc)1L-KkbcP?ly|a! zo;1%_y`J2*Kg{K)`oli`JYW3&pHlv zPxeo5Kx^#h?d;c|wGqA^km?cTlH?`gQck&^73*1eyv+oH zJICRn4v>eF_wisoA1{}Gzy5jtQGda4j)&YQ0D1alzq^9Zr({F!`alNqJaXkO@9zPz z*WbMS>-x{O{7^fq($fg(a-3Y{;j{tr@}DO9H%TvEJ9n>3cB+Eu^3woxErGn8%KTrc z&XcD4MFrE}(;I^BWFQ0iJ$ibpFFW*GYn}($PEfd$@Q?@O^UN1EIKaKqQ&(?l;yt@Bz z3ivh!G6=Qz*VA&l`1|cYn*Q@4a5Eq;XVQMXpLw2sHvHqYA8mil6$7UQkk|8MzmfeH z1h<|~<>`vO{^0u4`PT}9v<7lMH14dp>+xxwSO>_@>ks)o>qvOwW?w}Ahtk;&bnSuM z&ME&Q_u~@1ZTaK+cLdnQng6lVbN)L23n0k*Kt9fp`?)6G`}nEBAKY0aa2Tgw?bkn@ z;C~g6^rD<{J?ec&A86X`d-rC%_dtvibD9x%DfH1x`_~0@U4dr#pMKlA zTRINhknnmAt{0tu-N3gekU{u9mY%!hjV7y&{%=b`;kx6Y2awx|96w_{AWv78PamKC zYx(1&*Y@8Fa`y(N0u>~S={Qe^x64fh1v?E7rvp>yg@-hMP;u*TTmA8J-B3_6ZRvTv zsM|kVdTv)b|IUCQ7XrDQaz9k#+=Z9--{YQ00(;oouYdZ(|12QSXL+95H5a8k(yGWf zkE%c*xHA9`X9BtX$n%)I4>EiIvijQjK&2?Te}!Na*gUQf#UV@h}e;8SD#68rc+n*MF|$MsU%m;XG-eLj%epX~qP zdps|fiO!#vU;Qy0a*qJ=_B+|X&xrfy3IwmL`MD-hhe{719j zafs+0im)_>I*RNQejn9#(;>G#>Wc)mDDm*d=tbWa9y{mK4c zddf3bpEAeTPp137w*0yM=KB2a0^cb>9xmXwKc+u|CtQAQ<>z|Q`m?3y^6UERUL@oJ zAm<~`qdcu^r+@wQjd7lHKSAlg4-fZ~M`;YTsqp72zcN^

MQO3KyUJy8W@G=jlqc|DpLmiG;ige7{CgRKyaMFyha5j+{+sJH_VHu+>QCq2 zYmj>eke44>|KmPNZdZE#-ZuZD$^Sa|z5(QX8o;T4an*N!H=xtyMMeL!}|E8D57NmYq&h1z1<&V#w

gU79QRM@^UKIpLUpC zv%~E55$8FPJ0HhzZ`#i{lBgJK9*AV>3#^hRb|r4 z`MV{JlJ04;%{>Y4Jt)-ov3vyol|Wuk%kk5ow;uXn&1U!b()6L8zWg7<|1%&Tf6MlB zz=M~#4{tO25Bfae`Jh_>(baT>p7Ky>0oW z`cARY_0JOUU0x=C+5h$K6W?gm|GNHL3c6)L&PUpRl=FlT+}i$lys_(_=byHp&mqVP z5~wuF^H3b`K9GgR{E^PTMD=e=&*j(sw=W>?mq2bOH2?Xw(f`jEluTRxT>sjBZ0WgN zy8pHsf~*1Z{*RRZej@^EteJ}>|E`cJJh^rz<^ZPU-= z)%@3k?*<@mXJtPb^T#Q8ub_z_r!D_z`L_`fZK4Pn%I}OpHUG!^AF;1L<>|^3#3oVs zw;-aez*LIZLs|d#s=jvGkhhHa=h*Wvn*MC%=k0o;Wc zH@q!(tR`cB`Tu~Aj{ntH!oSKQZBf4bOBQN>ZIZFCS;wp7AU7fLOEvhDUIXGB@0TiW zs`_1ncOMT3rH3jAPyGrVpW1I45NCw91ustVDXSlXSxq+lO*viRW2@XgXBkLJ(yul=8TGW@Fwxru*3TwRbVcf3@OdT;Q-7w?rP z2c(Mua<_K%z14mCX!k!W{*n2&?S})8&i*Imcd`5QuaC$JuyIdtt04BX)4uT}@S*fm zI!Nv;q@Us=|A6>7GklSDP&~K)2KkqX`;u!Sz6@YAeP;=EZUBYPf?gui<9NTIc=v|q zcRyS|81>wRebVZ_zl`o(CjA-v#~te5R5#K^>8JFO9x?>Q>*>2u2KbYlBsbBKp3L}& zuX%4W(FOebgjIS2{(Zxg{vO`_4WuuMN4r%x;$z;2?V!9-Jwxf!a-J7H;9^Gx_TOiU zkvRqZ+kKoNKD_OTVV(PAiu;;{FGSA}D@NzN^TK?cesw=KZ-{huv;V$DIWmRwJ@M^z0@gsfe_g;0{kKBY=V)3HzFS=gK>we_v-D;ljAH5&> zaKwK0!#4Zb?@$?N>}O9CMd8l@tB$z8;=O_i{(M9d{Er4Evv6`h={JvDJ?@ucH&og` zdz2t2jdL^MLGdYPnwU_~uEFFpzcbe3>-F@+kM}nbnOx7lrt!tc?jEwtSkEc@srcFU z$GBWnz8wEPt{RAs(xaU6e&waj^Nw!#i7}s|*Q3!mCmr+=;~DIyOv8HxEq(n{`09Ai z`~4-ZcR#f}ACCB_VETM?nm?fUdB0QMFXfHr--|k)PX%922TyqqO?H{2&KCYj^SWfX+F7`L7MS zQ-D;Sl~b9T0I5DvPK?(IH}d? zdVbtbPxXtUYv$9}K}2;aLWV7HzwW|_@4*!8@2Ni=|J)SCm-;P^a{>gZM*@|`@O19|-~$DI}YevlI(cOxLRC(0@384iUnXxV72=WgoT zZ!YLg0`hh!SyjL31Ftf4QIa-_)P^plb%? z{X98N$9^K-uEc)7CH1ovoAUdf(E@VQ_gb_3(SA&xu3P~!>;6-;{Ijipx&E?!{;eTM z8z8TLsQxh5BWZeD{?uNBjnChfp6gZTUpqwD5y;yQxgXN0^TD9XyCc3wBe>HZ4;_Hq zeyN-k8{fldTyFn8G|}`&%l`t%J%|#-u&pSZxogg}PTTo;C?S16XD5X34dnHgEPvtO z*zLysV#05~Fk$WV@&fAdq;ksdsowprpGVz~BtX{{$nB5xUub-f$|o|XGw8Yi%hprH z?SFTJ+}(lPPNe?4^ND8}{%y+-um2hfuycCgp(l{*Kj@Etxn2W4y)A#9F3Q(< z%a0y^o(8#32l9GC)?XF8{p|y}&j2!z^FR6B!UL#XhW$4Z6s|8G`T---@A*gW=coLz z&A;-^f1Q8*A@{&C<(KQxy!&N07~`iL-~I=H?#wdjW&Y!PGS^F8f#BBdFX>CsY5C*R zpKib6qu1rpz|U=RlAVKpsx6Cx11)>iHKOGWKJf;mdz6=!OG%`xz8Lum1Vg(7(3dVW2w?$UxpN zROs37*GB!X8j??21+M3Yy3c<9Oxr%a-IZn1 zhu7nWPi9|b)E~J5!L8HJ?N5(i#vr1rfL#Ale)OMsy-wm6Js!y057~eJOXSz(H@^B$r~f+0eFHE6R3N{f9aHu4M%`9M?SEd6@DqSM zpJe@k{W#oT&p*c}zqa4_=ym#S>3O}7Es$L2COq5>+mE;2=)dI&1h=k#D7}hK%O65Sw*xtUS^r@EpX)V8Ah%K-I_Oe4_ktB&>bGB$LH81nm;Ypuf9|M)CD$Ev zd*i(aq4NYe@4~}#K;BNs{T!25qz`=ju$xN+9`^J3Pl5llKt4|@*Kh0zpJ#Q*xSvw* zC%GGR4*@$e9k zr&IQSa2^jY|9L)reELr`|8)EF2;`myH0?+9|D*Obo7WlZf7&G|zvlla_&x(n1uBs3 z&*TwusqS)P{g6J77aW7$kQqH@BRM!+i#vOU4OldbiWSd;bi-J?Olxz{d59e_4O#hHpyy%$PsY`nR>eXyxZM@SQ;dl}5RKD^#Om@27bK@-8VY zH$8{iilWVj^xu+(RwJ?f85*Zx8c+F80(K*LBZa_!)zeWzf9a` z^Nq2er>Rdr6LhnHy#1B^XYaS%$bVgbybZc{fSkWPPvI{azv}uoKKqNk{^I=y-G7>c zbk7Ackl$a5z*x<$o6p-(!s72(|X}KbrjU@ec@M_dXsz0CGMw zeyzCm?}w24Ga$Er$S>FbRmXb;`TqFhBls@>^6`({4=P7-P@P$Bg{72^ja{r36e#f@_L~H*RA>E6Cy#1E* zUl_me^d~xhs{8-8@<*$GmO}1jK+}E&?qlKQLeF2@^5=SKD8SBo{18q4&k@lUAlI`j z{|mo=Kl`<<{5&~vrq6!`=r#ix$o`9}|92VVr;dL8u@VGpfM)#}@-|d%HqJBF`#-(_ z-It6pIhqT{4KDy$5w-tptAB34y8T%NR;z)${!A85yYP**bB*zj?!U&zKlb)Nn*FSW z+#5(`rBU9;B+i=B`sP2k81gp~6l@(H)&nE#|1atPX#FRuzm1T46D5dYdqL+J@p2LS z{qWqba|E$TRQ^Qiw?dG8Bv5IT=Mjf`eEP51p`{V?e^eg6LioL<>F8PZ|44te$4k^-JXBu)>;7we_EUc4 z&z3*eOKm~Pw58|yAG`cK|8)Il%b$-6_4so?5^?~@!)1!$-u&G+#`iBh{<7uI)35XY zAov~v^72P|s<{2{=;v7+wmQ#3?MJRA*6n`ujKx=^h%R1#<2TpacDb3(t#HJtA03c8 z`G0cNIRHPpitZ;jyuJFo@jn{pT~Pf(>$k{F`XqO>_p;yR{ivUsCBCcw_|cUb1Vs3B zx|$tQM7@Q#$Q#d-Rk%=+=;-~Dv5);IS|T;ZJ%Ah?hQ@JK*cB zluq)e@(~bezu)%B^i%O(R26sqbe!DkZl;^+c^yyqbcpw_)Zuu#C>-f2336$FwGW-* zrS$0cUbm=j4V(vH%1!Qo@Qw$lW$KgU()u}f^vw4*om0&}hhmJE0HUM#U@xWYLg}^G z&EL7A(_I_Ve0t@t<)w2jykjg{rQzI{YJR#Yz1LlMlKe{->KqkHe-QCf{smyC)qQ%! zkIoawfIrEdCA?^_OND);8}CU@LMlJn4$N~0NdJnjmQ%SYo}jpF)p1#8+!PeAe7|yJ z=4&6uYY2)r4Hp(w&9#G3Y(f2Sqq{ue*@!kNh3f zFV)2-zwNx~hXpl^{7;RV-%3u3hvdyN=;=M_ONaC5MF#AG{G)_(g2wqE6rSRzb3cfl z>?eqNw<`2T;e%rQ{#DO*xSqn(IU*T2kA>pTLi!`^MA>zwp&z0P2-V(Derb7>-W*Zw z{o(SjrXMbR`dQvE3Xga~HHA8dCR2Rltw*Ve@e0mzE5?^u?eR24DjYmE* z_9Hd($1}G5QIb!^+r;Nj{p>30g~P)Iupayiqdy#onLpQyfC;O!d|S z9B`YHz#g9E*FVR?zYmbxNv4=Sq}tfbU-!7DF#3T${c-Tez{{a}PN>3~! z{G)m;@;nWmen(8j{dl}xD!=c^@!1dcgB+(m6w!$kQW^_;iK4StcAC>*tFfP2?+2lL zX$(4UKgpu_*i-)D&e+7)bB1~eVsj!Ma)De=ay?6xY8#(Cb(JxnD(7kOvrRvbSI@^a zKsMG{vo*>=VZv; zh!VuGlYbrqZ+~L{p3ChbQTcWKN%cw#$j$2yxgHhg<5N4Uf^`&>OsdzK!h@$%)<0hR z^{sI~OZmxvD)>_UY}Oysy>mRb8vVyCzy8bzeKTM*`{VXQO~U>{@}Yb(#8;reLIqTDY*`mjwu=db&(w)DhL ziK+FMD1ASq`wSohc|WCce_zh}*YPb%0@zyC52bc2Aroum1uy)L!SUNA98Ab6bhx3=H2 z5Ya@S*?$;Y`48v7f!!|k6TD!Bdi*;WbTm+M(qes!><$}*$>qvt<|g6g2M=P8fY*=(E#q4#562)gTm+)kwZop{QDT{SlF{Scwf ze)%5>y753>{$>6@vv2f~Z`bhiAmlmCl%9(~cMXusFUNn2eyKNeKvj0T#|7Y@Fw||#G?#qF^oY8sO8;$;B zL!`^T|3K+gY&8GT;Cls-fjkc1jsFcu_l-ca{t`G(jO#D<^3UVd?Z0jMIlWH*&5-++ zGUeCfSDt=NZ_A(8ABncVy8gQra!&>_@b}{!Fy^22eFz~C+|CH$kmq>^)xtod{>T*+ zd=egR1M>18^zT>Z`j5T;RlfSy`nv;i-w8|wDvwkTo5!Y+%_RsaF<+n|LH2qD5+z$bH{>k}U z>__ANIRe40^N-6Pd;7=fwf#Q=LEZxL{FD9vF}1GyX~F^bA`&=^MI!|{r{UpAAlH*T zPyfeWm;UzBe&hRP51;-~&^-a<`J5(tdFSyK8Q*_&`}G*;9tZOJQ_g>&|G>+yPJg2L zA0K_9^_RBar;zR!fIOXPqWG%JUw6Dy#K(W~JU|3@p2ov7KvVxz|L}6D$6vPT=kewU zuydZp!*f8+Ck^2u&%-2oTmIZGwf>(+MAL!Xev*aqHqT?%`j3x)?DcQ7^7|s>eg(+K z&$9hp^zrOFIPJMXMpePK(0UP|3>cTMsVx;pWCmtpEnTEn`QEs^Zz)H znU6np{b`$j(fHfa^Ze8KKNE8A19Cf;>z~H9JA1**J#J6D_aHRPpMQEA{vQB&KFRj0 zb@p@jKeETA@4H^G!odQ;op_$f9z|L1`3Tp%z1nWA_=c!$6)qy5z7CqDkV{(KjF-vjdc)A7&a972J-yR6h)ae9~}O`E;k?VJt+14;zRhaEB&6H<$n07d+H5)VndP9 zf70u}K0?^FL{l0=9fa7itVQ<`n~n2;_5AV22tOal+h19Kjd-E`&r8<3wM)nAbQk2b z)gQNCt^Wmx=o26hC&y3W>v9X$^7&_{TehtJq`SWtE+t0<|y9CJV zPuc#Yb=>h(y`{!}<{W|G3AcYs5z#Urw_lll?-zLeKR&F$ zg~s@=ZOr_6{^|N-JNWJe^7JPQr_X>b&8jXi&f{t0_uqGbZYPkZQ_r9Ab|pt3xOMx% z;|=)qUn8O-ATOs>|0O>Ez{{Vu|6Snw4Um^V;vfC{^={DZ0dkPvPrcuN|Mx>~e_DUG z<%ip46X?Zp_A3QB#Xw$ur2UPrw>s<2FC*+1!JPwm_zuYJRDQq2{3Xv;LagD90qd!dj27r{n_e|>tC1uzl)yBugmZENcRtArk~2sf4}{6yT}(v zt`q${lOOHRGr2KUe0|3KkB`Z$BpO_P_KVjw_}$&TEByP>ReXwZe#!4}Q~C4l0P>K% z>G$ef2Xg<*-Fo-4Tkd|A+=O(#!;vWQr%-xaF>pQExk@b093bq*wpojbz6$`Rq! z`5gb_r^iu0v43Cqm!dvX-IXE=R{z{__0O{1@_qp^|Ksql65J#Q@pnYDb4k>B8dZ#Q zENI+7^r?uK+H>-Eu>U?q@N+rn{1B4E5k0&EKdK-eP49{CRE-jUP-J+&qwrqGr|1IW zzNX;=Z2pXLP7UQ7(Nq5YGfMtZy3@gr+ySv;_&qmos-7;+^bWE}72a~kJ(P|tQE9-z z<9Kp}mAo&C0m^oALY;sXm zG2{03@-HB~V|zXdh<6`fbG|&=$H+gDU+0%P&qwQ7**o#o;gnv9FNLRYvY+ey%UhI&*5Ww-l=ZLLvow?jVyOvJwpiM zT#^h!pL8Av>6zlC^ky07gy{EM`iC`@A?7c;N&ZoIQ=Tm2oEpk^l0)l9<$FMUSoP$pmuCC$dyDAUl4u}`$hYyCSf$~lAWC?j`f&3$P5ap2E z;2$D)^mBKVe3AKmo>x$aJ~BOuj`Tp~m+CvpFRj-P!pALbBl{tF$limZ?Sg}SueveX zxg|tLa*&=)f0CClOB{K%jf}Y_>g5cS6XF|V{u%El!ye>$*c88_)AMJP zUK$^8`Ab~t|5N;mzNw#n+x|Djujq4yLdQQZAOH_S<&^h%M_E5l^tSxDUdZn4*DrIu zI3h9re*586Lqx{`IiC`D>=O$gf2#Gai1QbSe;OXDlLx~VqJQ5zM=jd_wQ(O!dqKf$ z^+$H9=%_w%oODD~3&`~>*H7IUp8wxuj9>Nqe+|$b10;PYr(Qq9)7RX$zaZ$222yz- z`l%Q9Z`5bLxqn}uXPN=JEFgnWH=*3CjQMB1{yGx`e0~j{@;qYN|HkdVHsZCnKdx78 zKeqWthsg{Po*h{@D3*{U@4!oqu&8aC0uW za>?^IhOe1B^vH)_@$;`7{r$Br=;{M`J)JC^TTVWwb??o5{Z*)^Kyc@HJY)m8o$Bvr zJl^I4!JQNEP>(zqwh+_3^&hK^@BcdgZ0(QhKlc3N^%wQ0?8_f7KMe&XGY1bR0XZKz zA2FkLo1eFCFy_AteEJhX*AU3-KY4zQcR-$beogNGYw@lM%nx@k)ew^ujalrBmXN~IKC2o-UN6e2`~l$3JKr9>AKNf){(Qn^g`)Ju~~#^uLHkoj{8dK(OSfO=f-VQh?OgWP zZ&dr&@%pFNZ`K6edB7B)0y+N<-+#FMYW>;fpZiZ;e``HU}aH&HEE&k^*HGtd~0eL>31myl( zo`>oUkbUT~{$<4a)uy0paa{gM!VAuO-&nsYRJeTD%!}YS&4Ik0NqW>jUjK{Fc{DU& z+Y0h?`;q;Rvd_5tt1UOqqtx#&0(32b+)qjW`Cs{duj_B3_SYJ6w+EX3J9OtKTvTf4^=6x^_Trf3p50&-=bhqvwtGhrY`?QTv}D834tL{{Bnx3YY)*^~cLKAmZiE z>ve6Pz5^2K2;}Xov>)&H@Bey_4jXXLvJklUY}|2QLM^TdrCjrqeh1fpBdf8ga8 zfB%E~HU0kF6@pv}x`=cJt-$2D;ur&L>^0@y4INGwNSGfBd04 z=z0Q8{cWo6*6g1Am9hVZet+r#x{Hs?pT1{C&mTl|YyHP6f7|-Y^{UIS7X-Nk$o-FO zKR=VxXH(uX=3mBt9uaT9vIN-uZTaW=bA0}nL68AJZa=dAoRh!gj*ffy{u!YTK7Ak1 zT>&)vf9gE09mf3GM!x;^1>NO94$^;53cmonYm8sj6co?4{A13^e_p3jW;ie>nott?Mt> zpB}#)f`qOEn(cRP=(P2-E;iR+>G9udKzA*W^O5U!u>OYIpKgDKf^Ha)+fP8K;D3Mr zf$K%T|J&Lxr`P3YOCQVrM?&v602#>rTWI`@*NbdH@kZg|dJ2d{IewoRWBh`mB`Uuy zJ?}s1_Q#f<>tFky8 zo%pRw@26fgp}$|=47&S)JfG=m|B7|_#{0KEk8cd5HaJ^*t^y5H(3y|mE@$HA_i~NH9_;W1#w=I88ukB|%{I z3uFAhDfHqv6F@f+Xxd*U_AllBOSfNlf$nY~hep2r#j;;p{qgeC?Vl|@x2vMl|0HC1 zGLW~wQvcp>gE9UQfB%EO|70Rv$GKNAaP9*#5N#1}jq&~yfB%t}U;O&#^+((96bSqP z6C5|;{m;B#@jbs~DnxxA$jeEdN7;Git9LZsT=KTlWZ|8XSr1SJ@W;q|kJ)p@q1 zBEuc+KW+8T?Mm0b8A$g@Ah#bmepBV{!`+r_Fxt;V`@iw~&sgR6G~|8`$o;hZewf#( z^OKi%jPM)=m?_VP4KOnlb{$tsHE)rS^8qWfR(A)ya|y#CAY z7pQ;bh@pp#1l_)mi&Yd5iT?Q!#kc;ghP>;6+<(gX-@iSy<<^(Y^V?*<9KR2N>nI=+ zW&gdOxBhsq@%=^bzqtnS*8+L@lmCjIzd-fb*8X|EbotxT6F()UZodaW99`lEFI@a@gZkIWHY zS4@0K?hNtnitsNDc9Dv8>7~J!;swBu?&&?KTvR+IPf*O88~&BYbMogw|9p5QABEHV zcC>sd9`OqxKdFWtYyGJBK{0D!%@_LL6ck66|NPZ0N6KQoWr~{CT)DJ*Jsg#UbfWhU zPn1@a=`x(<{2@`bBanBs(R2YJ2DLNI#VSpy<2(z|^ha0P$$o{l`)H-eAOPC?Lc?-bHLvLw< z=QjX;75wly_k}kUpnI(cJr#AQV5XkMq5S{d6A$ zKYg#{C;2Enk|Th97AjzUIq99^Q#_&zh*j^0fApM?o>P2{MYaC-q>;Un|FQMIX>$GV z#;Enb8*SGAUatxuYW;6-SrJbvd(8b2&lQaE-@i&AyaJH-zY5%`%i26Tu;PE*J0t1E zHG*#Gy&`}BN>AMuxVP4P;)HRF_ZaiPU7w!#QNJyj682EOe|h`=EHvK#Yx?x`Udri^ zNazBQhy8nrk9wl#5BydCmF7?Id{I5J|NhPC$&T&mW64kB(m`aI%0t~IiTU#D&&d9} zjqf*l{!wlY&`l-?X*6XLsfFKRX`^j?u^oP~>9odJ9Rzo1VlZuP7 z6cCBIZG^gw-anl9{8jl;a$GO*mml#{>G}Og>-Ps3`Y{xcJQK``rpW+ox z{)&R+w52D0icZ_FEj_nu?SC>M$dy292i2|gpToM3J#EV#_X<4sAh*BYexHeOdd}@f z&OdATrak9j|&grtuy97 z>Gc!mfUXvhm$RI|fc=|!`>NN^Rs-F6Kn8ODP3XCB0vnC~PnNI0>L92Ar1o6h%K7`) z|B#of9)GmeAFuz~e$NHpnn3E05PyZm_xo|-@~`d3mY&z^ETQyb-~Xff0y>|*HUgRf zc|5s(bJ_YAKR&S8uwT9Yt`6wx1G%4;{qK<^?F6Dbt#Hv6$m^;6{`X6> ztM;w_)L6gO(5G(=x;8-0U-sX;-zH=JSp4%(c)if=PvP{h>8W4S0rGSG%lhx_U$M@Z ze^?v&a-4RcYY$`)a%1ctk!b$oZ-02XX#493fjcq5>83-mpa0SsqV@*z`YY{!?-S21 z9I)G1f3MrWE}-iM&SnK)QwPziR#WRRTJf134dA zf4$!tm;ZiV{v78zATK{Tf4Iyem7cA>D{B5e*M@p&+Si_ z|41Y>iV}=OIe$!jsQ<|D-^J(s`3A_l3dr***Dt;P#h}t%54+b#<}3GV-~Wt8_>Dkr zX9aG~!~JH~-*?!hcEXF6*IyvIwf*z**Z%t^B(wm??M$AZdDX!o?+o1U()*bgEu_a^ zZwB2AAcJuKZ^GlV3(h*=viEDz%g_H95KIPgJCo;UzPDrVZ>9FSH6jzv?dsEyMfj~i zu7A1z;-1U0=PxkUe}!5LN^Tr3ZUJ&XE&C5R|A?21uK%|7&-JhCpDjJlm;U}R9&(3( zyq_+|Z%^6TxBiz~`1j|C`MbA)?sgypIe(S}w{tmuTj_A?0ps&{{c)Q4{^vf>Jpg17UcWTPy?(~4 zpBnGq+Wzhb!4zN$OF)ia7xVtZgOK-OAlIK9KU#Avsr>x)#`vusKbQ)-hk$1OL&!g` zm+_AuasR39*Vg{I|0cV3oJSz{G$5BVAje#qo^IgXNaa#Y=5&v-@_fxX{#QIsT7u|l@%Fp{HTK|Qkm*s+=Ej=%P?Z2NyI!^(4 zJlTI+kaP65y?c%KPhI~L<^MGJ&N?ptB$4ynlxx4Ovdj4XrQcs?g6+$PnK{pr3{TJEU{+R9O9MC-nH2WVaxcGkmod>y} z2XgzB zuiF2-gmhm6rT`Vl@vHFgRhLis{)0|?LD62u#X=yrf7$+`{o&y?eEL^F_bM>Te|zEP z_p737KW+7wsQ>5r$`Z(~^Exh;1G)a?{_p#9uKs%Ir+oY|)Y7Ma19Wc!c{$7R!|^|# zd;L9YWA=Y+^Uu@O?aw0ceFw;)v0s0AzV!F=#UOYa$j5(V{r@Pf$Ml`A8spD;{O>K$ zEdla+Ms`ws`~SB3=k}xfPfL;SWk3d@CL**tJb~*YWBqkNP&`}yy!@$MvLC9t<=6g`*B|XaZOf16 zKmPLL{#)DM2atOmkjp9CkHJlTa#wv~tlw@e5Zzggiw}Xk|DyYU-2O9tdfWWRvcEOp zyB5gpN9rlT^$SSWiN)Vme%>$8{h#$6U~33_M1imd)Q3SZS3{88?Dygdg)gbvm_rwBU7Hr6`b zv1RwwpSF$Yg5Xd0gwc9b`K5C`Q;?qwao4_?7xezFv=}jN%adRIm?FGo*RNAL(ehvB z{Zg>bvn;|#hFJ7w_($ukONgty16WVMy2R*nZpp3`A4-SPr+bo{^h|usb9(7~ zS<0{0Bb`%wxbAgR-hGnto9`Z)l_vi|u|MaY#vk=h6Azs+|EVwED<@{k)4V^QTo&b0 z0r{o$GQ_S4rmN&XIv@7MT zUx%ynt@z0G_78=Blpol^q4Gw4$WC>BNzS7uT`B+N#q#j+z{BV{*;7!o@qQFed`vma zb+yLx5b2%DlhO+qa#DDPm_Fi{$42~O${m2c=y)n0L9rsdOni9-qkMJwP=1SQz3uN6 zH=gj1t+x%z^|lA1*4rMiS#NurQbg2x+r032MaiGt6Ih31jQ_o)1n5oy(!IJZaL43T z?>_EWK3{K}H$))1f8K5q1u(25YL3mxyMNd&w_;>?#P?p?{t}mq?8Nc&n}YOte@&hj zTzhoA%j=l?CAAbJPBJd|do}|7`R1<}^KEl{dg>nsKtgihR?vCByuV8IDDn5jMD=G& zPx(~&((gN@?;tWvdQi6ouD9J~<-Ao?`RCBeyH%K z0?`XO-^uamDfG6;1R>OOkDEXiZbpZf(p-epTq z{2(9Xa-13nI3LJB?zi4`;QkWRKRo32jC>%j6m)woE@}cz`_J{x3pr@mPnJM*YyZLR zU-$pcLqfHH+)iY?82g2jK5X^J`D^>Nr6+z6QvjVDT-*ZW_AlR)-dWV+?q3hMU5UWM z%YFY>8{vI{T+UQ6HN0E>;C*fvM&H+`uY>UVK(4<6ci~yP%N#p#w@Y$*(IU?Ks|&h% zKweL@|KM^t0@1C@pX*PzpM}%Erf&d28Uwlh3*3?2e;YpX={%S0%Znzu2}E}q;-V2S zg&ue)$NN41b;$T$U)k5ct^8cC+W*+nbNy-kH-Ws(ft-(=FH`>ZJvFNAxl-Xx9G_<|`Df|I+1Wn}2TCT7NAdcRR{ZB+B{js{D4i)IO=l7Yd4o0cn5TDz|g_ zy?OoZ?cW{$v9Vsgu}@DIEs>!4{xl2iAJ^aC-~PqYUu(#H0g&5|-fx1}i#n8Trw!=Z z0(t#QMLcu9Q>IUETmHOUbo=pl(erwd?aSXD`Mw0msz0h%e|Iq<- z7Xzd8*Xg8b-|g9MeDBihO*?|F6Ocjpy!jBx-sc;}e9vkEWKI`cTmUnOd}r#H_JaHz8ezWdN~8aoX#ctB+MnJK_);MElVpDz4Ec-B|6K;YeYoPnce9?@ z-bkq6=j%32KnCIU<}vCY#k2Ll#81&Bs(rDoO z;94NpbE?SesM_CjmT*Hsw?l9-49MGWS^vHBrp@!>_4~s$pc_gFMq>E9F7Fpze@V{5 zm7lJEw)DhL$&;x4Y5v!#1f7w%VE(0xEIzwCc_zb_Jg|KRCr{ofD1Q-CQz1xaES+8?f$%7UWVmOn4o`0GEX zPt^bD{7*$jo&fTE%Ka+79sT=+GJA~gpL)Oahd}o*kn35N-^}43m%DGPv0r+YK=eY| zkCy)tBs2|Zw*M;F+%G9pAbP_5A4Nis1CuFX59RjHCHkt)J%q66oFqG6*#mV(^MF3%h>Fzdwfbd7UqV zU?C&Kjhw#_%9}W%#_QXS{%?Ch(O<#Es}#Vnj=x_R&sY5Qw**U9>(5sI+%M|>$7@LU zO(2gazrVe{kK6OuxtJaig){Lld8V3FzJiGKd(z z<9+wEwi# zAJ4xdz|PwL^YY8|>2s0LN+7R)NkSdGxZRjPUDKzxm7m+MF2DD{_d_7pbGpd$=KpRt z`p*J82eq2oVNMr^-|~GmY(=2F}3~u zUG!Y9j)1zHwYXRZpfBSg5V8OY0DwqJkF+0p0b&3ydJpI7Nbowv*Vf4Xp9C^zM&*|UxL5BmF! zZT{0D<#+V=n~ezH#GccQoIg~|$G<;;s9S*C&Sm|Zw)Luyn}2S6|8fQ8&{luk|LFJc ztw?CsarsOCEtfAnu;+85{2KY~->0D4K>|ghzkX+%@%qVmeU;9s6{#^c|Yrl3wZ+n28kJf*z{)?^rTz~QBpZj(F{hF=L{s*F4_usf);_tum{)e`|*!wLUu-b3ITSwe6MU=m>?vU+Alf=Dp z_4d=B(>?|PQR>F7@=xcIA2rTDr*a^B&Ua7q7F7QpV}AzPhe6ZPeg%y^KTY9;NdkHX zQoeC+_5Ng`)+wK0#LIV|8yP9U`U6n{Z`5w<&t6S z17Pk?K;=W}kX|#eUqvaTM{)+l$Ol$5{&hda&v$!0HTB`arzylzp7KZe3c|nXd?^1+_k=CE{QV=t|FQid z%E|pA)<^9ZvEF9Ch~Y|M{{9K-R_?DI-rlmpG508*D;Oi_wgfIt2l9S>fqQ@Wb!|+( zJBA2693tqJ`au;DKPzQz5l*Q z@}_{E_e%@h-Z)>JkC$H{5Zy^WE?;`uPB`1<$eznvG3RSgKRQ4pktojrC?4YlYZ9Js zMdhrrNB+ujXngtP$b8dvZU?dH*!qQ8_nPM;==JKUh+CFu7&Z`ezE65&c*OY%w(l!c z&MKLzf|5(a#YsROkJ{@^#(1qhU%MRWGJsr9@XMj~#(WJu-X8>Ac_6o6S%1CrHFAyp zL2LN-Z<~LrCyGtB06T~DS^)u6AJuJ=uYaDe;xk{?Hve3&)Sla~ci{Qg@2iF5Pwllm zf9_Yc{N&dvqx{GZs@tHL<()6}onb$EzmQ6xI}OP7MD2Rw>)p9s#jih}|3vkt>CZsE zy8$_$RI%yW8+uo-aFDN;&+X^ezbc@s3N-!4!Lsf59jm$DZGh(<z_}@{a>Q`cLedVm7kZtmY=?Zbwz@_oaB4ZpXCB4 zcKh6A`HPruQVVo-k4rDlHyFCU#G$LUxl}%0w21FjRIYVE&&yx(za{*^Xq{1iwg1fl zU2Pz@e|jHWX7oQZ{rYdKKePUWT_Np9+rKS;UM{-)>p_r~K;Dm*=i`3WxADBmpSoEj za2P}F1>M%i1qE*LJtUAq6*7<4U;OE15-hPOwrywT`?>h_}v=$Zq${p$7p zTrXJy(WCZ@;C>>>|6aqx|9$;OZdZx+U$p-!T>Xi^{>75N6$-K~koQ02`_KAAmw(@H zlbcQj?qL%_x2o<#M_8@`uKL9}NVe`{%P?hyd=t z<$4F4@5$UDY-gZTY_toF~g{J3AP<;!nN&+||9(s8=00(J%ix&5Vz;IQrO7H99_=i|up zc_=?UK-UY%K+f0A92A~$_66TB)@dau-o?1+3FLC>`F>okMEjrd`%f;H*54(NyEib( ze(tRJ+~e|mOd4NO(c+(PL;40A0dy|K#XunU-%@|u`d+eq;>RwHPpN2nz5HdMyAo*D zf6=!8huNcZqxw&X?)1S$Um*AY(tl#U6c5+^Ut9a-{!`C4x*UA30CGLa@v~yS-$Fmg zJpjnrWKPyajqo7-hoKmUV}@2i2_&ZPe?qV+nl>c6f1 za(c&?e+c9r2ITfD-yhe7&xhJ*yg%ywlCA;WP#|w7!u4N$zun~CNA4pJsU4A1V_X|L-XE|Rwyx+{E{q9&iS1`nHKSv_` zMxfb#gzD$rTR(5N+cJ_qbg7`*QMkAs$n`AuD+%ux|G>}2e5v^NtL1)4w|_T)?`R-@ zPb57R-~QuGkoy)Ow?FBB!{0v(zI2=6xq{w;Zg0lL7$9$dDgSE>{a5qpZT$x?S4!7$ z$gakLKlgtD5&BHke_ns%um8OKvl5hF*Z*4~_cK7#e>oTKdwOK8FI*a*QPFz(^=CZj z?gVl<<$m)$FFob4YmEIa<@g_>JGbHDb|AOk0(aIE;oo+n{1Wv)I{zW?y#vVWf09ta z=6qRQ{|aY6n!hbQ*J}WBInD&gJrl_FC%<1jocV2MXPdF#W@o?r?gHJ@Kn9|Na30OP zsPy++`TT)UC!hXq5Zn*s^;h;kPkOfOGwvsR{Ltwrh|fe^Oa}6NO8RHR8}4p1`d>AD z`g=e(30MNCK+d7bhdPyFpy(bDVo&sKi!KQ#R;C}Iwf`w!WEw(XYDw%b-?zq|SZ z(Vf}2c$NYpQPy9z-sxSV|5ALu|33$L7XW!V$@f3(m&ogtZhz;3Za$FrKV<(2`&Dth z>hYs_pnD$3>mQZVzrX%*`_um4)_!B@??vcsF_4#&oWJpM(phg@xyNmU=N^Q53A%j= z7jFQ0J16~b=O$-v|K@Gpeny;k^D^jO2S(Y?8g;%lAAfBj5Z!qN7q0=M${+i^a=X&@ z^D5{T0(m@{|6)G=Sh(`n{V!YkSpNS_=xq^@+mCENi}`sUZ$a)QK>q$J#}DcUM&u1V z=w{-%2lD-eZf*6)?OL~gZzG{)Kwi(~exakAH$HpfZvOqo(fr>5-BKXuBlinEx%AK) zZ4MjrPihE6x9)%PbmO-lKCYJK^Ir}@a)G@5N&S!e^L}|D3;WKWyoVpOQzH|5_E`tON4)Gf6o0K9fD5g~s=5-G54yzb!rY zi`sw0UN5`eYQ3!YdOfHN))kc$^}Pjxf4WK?zqx8X>n}iay)5ZbpF>`A#qM)g?EcMF z>-y-NXVe2nwnyIYCpUZw@i{krkNf->@hN?xCnWm|2qj->q0&tT(sPQRA=Ym{@Ash> z2E->@e_3=-Us_jM)?Y`e=rtW**G2U$D886G^Zu`El?0zZeEC)U6QlUw_Vv%>zy7(T zxFo6UIX7OJjPtomAl?Z;l9Tuc#7EV~G%k65DV*m5s?+>-otu1fDE z{CFz5PFLL%KWaw;;)5>Xg_{&F4fOgsrStJe;h#R&o2N(eQ98sYAk;bb6mF*Lh#S0L z88uu}xpd5Raq9fzQoel3UQ3CIH3yzq=2FuhXx(2~#Mk`QIoOm=Y`J6UbMmC{kJclW z^W{;Od{U5Z5PG6~5eCJ$@N&%q<;1&3 zep_+mH!4s4T*+nf4Twtp-+sRQW5g#YUaQbl{`L9eN*~ek#aidvdTiN!^`}vKn!o3F zdQ!QNJy5=MJZ~B2sG#tc6?X}W>U|%4@26@MpX8u>L(dM~6H>Zl7v)j^Nk5d1Ja63F zrzzc7Km6DHIzIDbhi85)FBTTu`)a|x6~wZo;a>&tq4UAZqx?uN;!F1#@Ds$3!h_=b zY2opFil6WPoW7&ekn_u<{!)8O@dF}t!-sjdrlyPVEWA@LCpy9m_z&>O)pCVbMb~;q z$5Zw~4j#^K;*=9ZIO-d0_>q*1klM4p_ z?0%2u3Zl;+KMl`Iuy}Gk=>>zq(0N!sdaOc;(vRUu>U-ACD z)7Br4O#&VDW9eQ67r2dHsrY|$PhD^9zpUqj6TcLs6ZJmf&Bu7v_#RYCAbQk#Qj&xC z55fLtlus3|zsD2503{fSLWoR^Cvd%zU$F0w^Zq3H?ZVRg{T%D}0nR^u`Kg?gda?wm zDHRuGDIgO4bAqDRvr#nL{wyy)@>h;S;~eFXAeAR>{qp1V@#mlGFMj=V`_biJ9)eZ^ zay~(kGxL{OkDk57<#t`yuYc*FqxVg!M=F^5&l`;QksJZCLfVhce+Cjd70Bh3=kMWr zCVwB%^_Rv8D}tVvlbjEL`P|&E==t0ygYFa{16hBa|B>-PZWr2qZ0irNzuAKHWJ}Na z>-tj}30(^0WTRu*GfyB{*AGJXAeP9&cQ`3ATR%PF~4M=g(dss8{=_$K4>-2RR?nWlm06_ zpRLgjqyJJ(AiA~v@bc63uLcr27s%z8^C423eL17bYGXWA?;mJee!N~*^yRM!zUKjX z{`GwDSn}KQ=k}x9pTf}>o&Dw@-`#**&U7)g!!6Fy$$MP#Z(g)e7vFwsgRT{j>q)MM ztx~7PFIVk0zGrk4i0)9mXp8{vf93wQUi-P<_?}(Qr>_e-_Pvl2549Fc_TSTXU9Ne4 zj<%nAh+7}X+nEAa?H?F@{u!~bEkCXoZT}6BP(vWMKN_cro=+1me_pQf+g~jCZS&9h zJA&kIf{W%r-v5=~qwY9u{j7^Wj~dUX^qPXM888K?K>827KbiHP=xycacB%XCw)DhL z$))w*0`g*D)#2}P^85z$KZ};X*1rJ%mOuvK{pXAM`(tYe+!4t2oGPY%cqHlE(%bp> ztcd-9+JLSd%Q$Z2`PaGO<*d2ejrOmGpy+LJaRHFqpX`4X^Zt8#$lZZ56p7M*lKpYN z82@~5UjH%$u_;{r(e~R333Z_aBT?=@?6luCF5{Jr#`|YIzx}!p@jFM-(Y2fpr8Wdz zY4ktzdU#v;P5luITY7HSI{z0Tp{~FZl(2_1K3df0N9*>>R{mK2t2^ZF0p#)M{l%Qm zUUc?TIQez|u_xs24P+qwM?Y`if1mOGrr&>hf#4D#_y45lO)l3<(6?V(`MF(a`>~~u zWq-ExvG`wxeD??Pc=G)1wNoCy>&yLoKbDC7aQcAm3Lvj%az1x>I{rNyjQt3j2}F1L z;^J~3e}9wnv4&rH>GDn+qWnMU!#4k1u1uf5Ej=%P-T$}}a`yv9wLdrfHX-%V<;M7# z9>22XPx%EK0knSq@(cjo5FmxCTe+U? zSgBKMG~H{Izn;%B5Ojlp{QXnf5B5Xh{nBaz(XI2(%TN1{tC7%PAh&-xpSPIzU$24O z!$~2LDEp79|Gmp-f9v?=Hx%)Q0lEK6^5^q%{nzyAZS9x$KeYa@1>fs{+i zjFer*`=8#==mz9_G?4q5bpQJaFMs|1UpV;_EkB+A!tvMTcQf)mAIRI8bdmdI%NJ@k zIp|V6FPga8uRmizcQ=sRX_6S(_rw#cF4^PK`>7W#q{pwvg6=LLw^KQO^hN*VD~BF3 z>c9T}GY)j)fxMh#|MjA`h6^8A`v-h6U%{I#Z_c(>ys1mu2_{6z6xk8mgCo&Zb%0z}B$VE&D$_b-ZOTYtFz z<1as6ud0fo;y)1y-3K)7KX>K#zs`IAOP9tey=b}J1)}@sk54)-y|n*pSDt+B%Fm4b zh~w}7@%(H5HyM2I1@iKf?{A0HdOB{GSpw0m`%j6MANLEHKL7h6$b%$MB+C7W#F?!J z-LqhuTP-r&=_2TM3N9W1@_fqvBi4g({Z;nqZS9x)WvbWq-@kafs^1@`Lhd<09#77v zzBzBfn9-jY>!~~X?Z-o)n+4?1TsS}6)2*g_f1>Z>-t$l^pZ;MGJObqHx6CKjW1SqC za3Rj`jAcL5knWQ}v;3T!)P7zkMe=uA3c7t17mowEou$Xz&y(mM!^Lz8U?|t)VLdo6 zf8BoA+7Hiv{Px4?wf}qq^3DMA`Y-d3@-yw9(zBJH`$g@4Z0U)g5>w0n6y$#9xbjQ? z>FNJDWBykof#}ZDxR^-+kr+OIF2?*Vik7JSw)EV7bp5xb=kFDD1j#=e7taE@{Y(9M zzkK67fugfNTlr&^|8tOgF7UYWhs^Qg9D(T8?H9LyZNKx7(DOhpr_>+zW8rdT$IYLo ztL@)be_Z}7pZ@~L{Q{8tZ`uB5KGfj#Mf>=APN%0&Z_7WH{4av<3Lv+0`TqB2%@2At z-o@wNMC_;j66jt7n&S_l5%ZeecFsYg{SpGvotJU35Xj3(=6`ay1Msf#{-XQuuYm4V zAg^cg`(=#pN2Cv1{c*kg{q>KxtGfUEI`aMYaq}+e@@f^HFz$4eE|f92_B2}HN9|GZzN>;GaT^cIlYpX48-{Nv?M_M+(G zumAro`*{Z$SxOmVSWnEt{0&|%S%RY3+CR^~w*O^FXgM&d|APGlc=^ZQf9K^NfB%is z>+zp=A@?RAk0~_hAcIhIA&$;JuhM0o$J`HeB?wjnc{$1N zC!dVCvebsP#(pS`1@Uv=a@t>^XD=lz-@CeCa6`G`d& z#gEN4{?KgWZ*CWL;Hq2R`yIu4+wWtXYfI%p^_ozhJFC|3{p3Py$e-`NI(yl~?<}3eM3i1^!Nq^CQa|@=<-r5IdG#G-_=yNo3VuIp*BolKgeP z-s|qD-(7X?;xWi;>XYtC?*S2Btv7meNyt??iZAKY%a-F{9bXB=)9KLprWxU7oUfgT zcqxcS^3%FmDlbj1)^*Z(w#lF~%co3KdXD!adolAzeC2qE_oI7y4-bgT`rnYbIi(EF zOD%=ZV*O<~=#k{4{G=KD^}0}6|Ec67xyl>yDV+Qg z-3P>WdFu4!rzyRXpwn`zbc3RF+iI=K-y0N%nx6L4(^Jxfsy`{h>*iJ_d5JHjZ=NF? ztw&WqwLL3-#6RDahw8|AVCAChLGg{IQ|BKC{qu%NeoA*i>D7I{)0%srpkvaQY04Ee^`5^vuPxXcL8#{hc zohO^~$CQr$==$F+QR{!V*sT9;qZDnd|4kB;hF~YJ;|eP10wg_ z)?<@TM2FzstJ%shcr6c(} zwFKST_J0$7f1&&-zPkTRa-~8buD=48&ST|z(er;&Ku6EHoYc;2FuwoBKmUfxS+S$~ zZU6m@=ZpM-cpHpzbzOT|lr>Rhv#kc$`LDtiNT>rBE<2)1YANBk%TmMIX zTCvF%VCPiE#px8lu%18u%F9L9e_Q@k-bh{$o5Ioi?-zv}e@K+xiCccIzluJ678KDO z$m7ZK&whLIQt_pG4xTHx$gjU=A-oQd`(Jq;|m!96=zBcM_jzDy$DlRC0+|QH$HrH=!|Cgx!R0IEWfn5Jm z{utjM$eyc%t_F}nc>S37E580GQT?5V4A%m3Kjq*&l`Y2lk7@$Z3t4})|2ZECtWY`O@d)3jP<2`G>myWXqqIOHE(?rr_HQ$m7ZO!~2=@_lwSd+R7iR{98comOxW~ z!rTAt3#0we->;1UVTao(<$swme?I>Ar)0>dApY;4+%C2Kv_iVAfxP^voQiMz(H3&Q z0_1)wT@+j~NqltaQFkt$d(d^H-+#CO;WUrXEWhB8#ZSCe@SQs{l75z+zuykw*GE35 zYuWxT%&pu0xBB0?7gJamXY~_w+a4F)fV}-m5}RgbK3AvxcYOY9Zdaea1L!UU@^Y5@ zXS{cJhq9Z^_pjPMeMiuB0&@G8<2RT;$L&w|A8qR&mrL89Ej=$+J$}#`a(4mpdM@kV zpsqD8TxOofS5+Xob^FWH)%-6)LS2EpotONfKQ8~@uRkuAmcKjXz7)vof0CFw^Wzsb ze)^qD?}sW{2Z88L4_x%30ET2|Ul{!_?fIrp7OmF<=6Qlo8BX0gYUye^d0DK1mc{?H751hx&!>juAw)*G%b@>ef->Z+y zU-o~CX#AJ!HLJ+v9|E~Y0RunH>2T`-wv zTl-($F6#W>jD&8b1Q`m^FT8zt->;4OtKT2TApR|k4mWcD99n%6XkD9&+Cu&e<8?w2axx_W&7p*itl+Q6Cn3p zK;Hg1V&Ul}8a~!?m&?EJTp$qLy8dzf>GHoD2~DL0BQexWI5>}wzB8%EdjFD%h<^`| z+gXxO!JFKZ@LYjFxPAYf*UL0Fdino+pI!=y|%e zeE)eb=%xU<|CRl>80$9>-MJ4J_XBx8^?9gVuK_{yg{wbKg7mun+4492Z@lvJ_Cvpa z+w$k-n&s#JAqes?2^5K;7J~dgFPChe-j+YFe_DT!fZsGAFK1bQ@ckn>QZ6S;&~2jp zZRvUW>H7B=1bKo4ibT2oJl8u<{%e=}kM@G1O~=LKz^MFt;meHvpXP5Xe=Pmm(sQ|V z|8oZ9UI65FCfBcc2cT@_`#(8teE;zz=w<=AoU;GxKKkl^9@uPr|7j`^-FXTZ&j5M* zC)e+f7;x&el=qGKM^%0Lr$ILp$RM|6v2Xuv%a8jHZ9lV-;b(zdfAsx2@%{U`{b>I^ z2YjCc@_4fRA1QU>h9#?w{%;L|=n1#~bCJ+|Ag||=Kh6W>{!iP_JkUK4$R@`FCgD90vX8t&#C;lT@_vVy#$6Y1Eb2XjXKYf_e*s7+2)`7CEb46(sR4e z?dPkIdl|3{P=Vb4uG;0 zyP(Sjn)aI;WB+?Zx3=F{<+l16SY5Gezx|*>%X?Y50H^hfZR@G z|8>CrP}|G4^6`g={YzJa?n59iKdHakzjmtIAkXN(HWY|%U4F6r=Ncrm9>~jC&R?JM zlbiv$*O)%#>&OiS4 zw=DFlK=(gluRq>mzy5eeiWqzSedoM2ri94q-R{YstN-C%_|V38R%ZO-c4@GE;3J)n z`RkA&hEQmp18lCBb+E3M&fO)w(R&r$Q+=RvIT7piPEdS86pxVTiO#|LO?n=CeXWw4 z_-NeF_`p*)Y$z!%@(wOd!ug*i6o02AkkY4o)AJT_#xYyCQ@~HBuhJ`n@X|nvPw{BHobEG3x&OQR@TL)IBG7$!jTz^pipg`c z9=o@9ir6rG*Chk8%8K*6AFU5fi%R!=Zy_e7OXrvB^d0XPRMQ0el6>WnPIP)Ieg!}fVABXbk80)ixC~sXpDt(Gi>t9QOAB8(&`eWf=no#Ss%fvkY zn5XAJF48~gfzr(oca>{VkT;=}_$GXu>%kI;ukBBjBjv9&>Q`*}|Nraj&3c*ds&(un zAK5wC6ZvymCr#_M%lPYN)jH;~(3hD%$|r>fqvVgZp4m(HQKBRH=$_7RE-!8={q5Or zP7eyTj-JkICi$cJd*u@%d&|JObxJqGIEPoqQ{_tWg2G#_UxDm0i2V-qy^5a!J3)P^ zLHXC|lHB~9bmBvL*YUX=#?_7Je%r0=~v51^ZfGmIo+#U zd7e|9%&Qm4`7pI3>E(GA)IUo?IDPNq{0rPAH+Q+^{1IQcXGhY9^nR=qKON5lk@1`Y zw_@`?W2Z0L!uPY2`VNWnFcOjLk$Yo3Wss%YNYJfqe~$90=rVnJl9!M7QRQ>KZqHnmeC zx316s6wp-!ayhC06a77dvYi`Xyu+iQ6yr3#vkX-j2%t$3u1UM-SUzw4ZeZ zqFeh9UjMZJJO>HY1advg?@8l_yi{(=2S)wT=lN6vU3C&D62spE_gt1ee?hL%{?-r_ z&9?kw*?$crbS{vWzm(q_fOx|g4~+jjK<*c-7Mc8s=D!y5P5o2u{|em4v!1zeLiO)m z@{?ZlP%B^l^Ff~j$ZL` z4$3-U%;#(F_rL3bpdBN`jSwO@cjqO&j_fwhGi&10(|6tmAmQ@M{_6#|U$Z)Scf#Kj zV%499;M)wy?OgiL3Elhe{=d(S@5v1WqC1Un(fGLZG;V3mr`P@`QTuNKzD`e-}Nsf8GD@0KHuZ=Hf-24;uzuYdX`TVbd+*bk_gmV1zaA}-KJ#Qr_o~{03$=?qN z^#}6u)AR9YeB6r`YAF!CknOMTzg&fc1_4tjVGm{hb5;M%!}~2Z`rodgXajID5Xk!p z(*BP7{!`JXFP#3g{Dq^}{`YFgJs8OCT>8H{J#%U-m}9&@H1_?MEq@x{R&46~`5ywl z*8q7vAvvSR4-wtE{A1alt^6g3p@+Ku4@3C1Kwka@Zlg`tocOey&&Bhv#}94!$CCd# z@Er-{&`3-TPv@#ik3U|1!IuZM!wJXBz09wFH-c^)ko)-p zcjUEeN1XfK0k;;Odm#HCbbAvnZU*x9H(mNKd7M?1b;f!aZ9lg8=lRMKVCRg%#aJM( z|N8qGr`P3g%RiR>ZRvUa*Z%hw$UO3`qeYo2av;EHY>23AT?ced~9|Yg2Kps!FAKq_`;Xm|#T( zTmtd|1l>N2i|IgaXL3IOFa6~gv{lCUC%vELBcPiG?b>5TAig;9TM3q()2{yd6= z9s`>GR|UUftcS`Gh@LQi+w$XjDZ2je6UfL6%1|Wc3XK0nw_g;^R(@{R+J8NXgq{NO zc23$4zF+h3_{Yz<{TE&PH4}0_1LXEE$1l9|%y$^$f0YHI7t(&T|Coh@W&=(CNBZOS z_wVmN@bXVo{{eyQI?v%^E(JuQ+z-I%F@0y1fqBOGLkmICZ0$Fe{mer`&jZc&BQ)WJ z!F})BYP3I1;^xowr|Zvr@O=%){g-@y8+Gpkd%xcpwVxlQw*Yhtfedn63Fl!o|AFUA z`|lS(@G_9=3GG*Cz2X0J{PzDv(7goYe3Jb0oVi_R3q&tu{n7ffEr0HRvV8upK#*5~ zy#DL+h&g?t?Qi_`hu44YKWy_)_JVBs`F|Y&ZyY!OvixwKD9?YQ{xAOW<94a_zX)PH?|R;MAoo%r zw|_nVfZJdE_RGtq=Y0_lG*{Px5>>2J6dBEv)aJg$`pUj^iPP8Ci@|2d^k znaRgbBF^J_4|MMXc|DW#-tXW4{WlHyQ=o?vS0nsG_8d3i`FGxLlhObC`|Y3CKV5&; zLe!6dJf7T-;=$f;kNP0b&BSvB?F8Mf!^L_Eh(x)cdal?1U1#_|y&s~j{d2oYwEwE} z|1sp<0p$Km=D+9Fv)-EW8Q)JT)Y|XAYyjQ%$b8dvsF84HOW}Ls zQT=QCx8={<#j1j`X-m)LkKg}s{xyC6vDc&Tv|o=d&kPbM7DR zw>Px!ob%PM?xcIdzn@)|-(P{GKMK!x)jHYVfIk@LW>Y_i>^|Q$&u3QY(>cpW!H42I zV!1pud)+YN`(xDeEbmtWdLe!kKi^gBMNhx@8Ui zL7dY~`ErChpI4_(@|p6hd!qB}8`Agf*SN>~Zp3-TD*b@5UYpX(5T*9-xZ~}c(!_b* zg4Z(Q&gBD!_B#>~JvxR@GEc!e=V&>?r*&6oS_b^nfB|vNO;^c(IsabqCwWs4p5d>b zrsu0G4!FPeYV+J-k~1i}hquM*M)!o29;F{J_7R}-pi6)+<%8^!%I*J*dX?{1s`7+5 zvbC)ErSzy?x3x;ey7cl$ht|ng@b4Y(mm!wEa`>HB4yTB9!>Y-XoXAeJ{qlN8`5<|y zzD4Kjdha`UY4D@|M*!zOr-}muMz%;kP(~ch5C6z6)1VJ3C(;w8PyB;oZ+M;U15|Dl z56=bN6JNR~dP2u2R|*eee+klu8P7~FLmc@o{L|rT-vQEpK>WwsC#^j8gMi)Vrh|WU zxv2U?^pvj7PposOzy5Jv!{y%)9qEsPv^9&^R`K@fY=n?ZRDj2V%LQ5 z1_%^R^ja>mD~0r2r~gw}yw2r~bI(bhp!g)Sto)~oW7Wb3Qw2qM*NBPziJtgseyY78 zJD~7#@E??aqSt)5oEf61*0VPm_-y5WY(0CLT+jY#)Oz+$ZPv42uM}dOuPyuY;c7PH znEM@`D;VSV=Sv{GE|B+I3fzO8f9wDK!SCD&k@UGk1>I8o00l&%?9Y!5`;m5g+{TgN zPH#cCNw_ElH2b5ous>KCBJi-DFMmmcj?z=X@_Z9~PvP>#|2>KHq|zljv|o?M^Hohi zZ0qq{(zBwYdg3@V{#FSIayjLE$fQFTH2Yx}pU>m;@cE~J?i3)`GwNUN7UO+R`1+^# zCxf2)`RZ2AXW6kkrNhE?d^|;-J52FXL019D^(5z`j0zjj2gZ25-e0mT=+c2?N9tC} zkM-0frwZ5hlLor-Kn8L@gIVK$KKJ^278vUh>k5ij4i`Znm!JBj|NikHUVm!)`L}%^ zqViU1qIS%2GN8AUj;lZN`_c1ZC_P*Lyk5j#e~F(df1>;=BHyP1sXnV)xgIyh_h3Y~ z_8*DL&;1XTi{qRILFxdxourEP%fb_CcJuY1j-F3b8FXg>qv}s)mj~y3XUxZu^Jx&> zIUN_7K(0SpkGp4(4FpMN$4IUi{H@4S6;4{Ut-OQZeJ>tW9ZT~#2r^8&Z)4-fPhoxRN% zPirg?y^!@s>;D`iR1?VC8QFhcwRG8zTg~{)D=f{Jry`HX8G>5*^Quzy5H&X#aB_eXoMr#5|6x8DUWoo~+lT0Md2*8V3}{+l78=0Gl|^q*J{mrM*j)caf8`ahm-wxHx%;DQF^ zc>X2-&O$ui@7c*agV-Ea&4rSZ8$o@?Z1waU=Rqtw7fr$jjLg z!Bts<C`AU3(HJ5?PInX;};E~7yJGj*Q>7o-N3gyklU}U|E0=&`o#HW|5JZY zxAi}~|E}Aw9^l&>$n!7PQ+Vy)Mx*}f{X8xPT~8nfxgO&1_A^HgSZmmCRYCC*mA@Af zx&+AmANl!zfB%b@ALYw&E>gu1Oe;b0`r_hpAm=ab7ws>%E4`kqaOJPxA8hGk)&DCY_fR0Oe{wy}M|bwT{n@Yh zd^E@P_16z{*8sWw$@(LAGdR24XHoO1NuK_o8v^8hLarxh-{prz9>>wj%G=ELdrEZ2hWI$#P=0rC0w`(LWB zDqp(%MHf1^QvBaqiq`Ti_V#~xDifXn;$eFdT?od27U(9J+DzwEyqyJOVk z()(O`Kk%aE_7R9~&7ao`vTMg*&;B41_9yA9RFVg@ ze_+fb=C*Gc^C@-v8v@-OK+2c8mGsH;zVFiLd1F7K`aXYK z{d2pP<%-{(zzIOEKe?a6e`Wl`5nyLsf4E+>|Fq42Ec%HMJxcxgLin4J&*?hUT;$yN_W!k2Dj_ZZ?&2Xg-x5M#XW?|TjV(em5opW9`k z{!8~Co`Bp>0XZMJALE>n%~Q5*G1{Mc0@0lrxOfuC{hVxnyq{VB;~zid^*4V1$@8V_ z&(n~57BB^dlrJs1(qPe zJe2;^Yya07{ijBPqRqj@b3m?t`TfrO72omSd64^6AeF1SmG<-U%+pIWTy4xh(EYdP zLH7cX>rdwY;$J^JmbB9Neo|K;x-%aa3xM2CWdCb*cmmu<#diM5i;(*jAorj2{p1y6 z{#=egbmt{pybR>_6F|J;Yd^O2pX;S2^5r-Sk?+@l{QX1D-$nnM`%lt~{r3ZI*Sh_A z9em#amH{d#{`Gee5w4X%VpG5Vq>6bw6w~s5ooWB;{4*l1>BA$Pv`w#Dc z?@}Q5UvfX)|H}KHwm;kY!|j*KRiCe&3;9j|IV-Je?cw|P82#7I0@0lnxOf*B)&6_o z2aWN|;?w_G3Ar}_dHKol|Bst?+5FHKQQvP6-FXie9|C#(k>B61>)da_ox6?i4-Ey; zzmJR6z$pDanX-A}#*M~)QhNTzD$soZFh)PL&w{}K3p4CH!}?|)eT!R<=x&sP6D z|72J8?I)K@`|pjAd(&~{PZEx|AL83a|FNk+bnEhq<^MJ#p{+n(PLe&q`r^A>LY?yB&g-5s5VoIiW{k62Ir1J+F+b;p+7SAW_z z(i`=w$&M+Ukiscly4TNRtqTp0R-baYBc6J2x?dQwO zmCYvzIrtz)AW8_8zkK)gsdv{Lc;<=fK6C=YX`M2{BhHh4>$>m?=43yfN{93py)K-d zA6n6Dan_K4xW@aH6jG^j#d`@c+*=S$>u)I^j{`!8u3!0-?GSmnn6!|VwPJ|G@eFuBsV>;VCc(yuJtqV$|;k76lKNa zN#S3rcys!uD_Y$`%U_>cY?4_lH24<_r#y_P4^D$gX}BANRQ$Lg||J!^Ayj_ zR|foBx(J`%ee&x;;cZ874#`b)BoCD*?MFcJ(>??gkIIGUiH_FIYdcZpOZSA74$&3e z`shD8Tz>UGwmv$1-uJGk_0hX*)<=(2h8eX!Ivkuk;F$XZo-2r6AKe(wOR#uJqGF@) zfs;qvJ6QNoLATUz3?hJk-zad`e09Rv?T77mn-W17LzfD=rT#dL%h0`gUf@n`((a*? zXKmx-vk~9Nso$J}1Ot??ht!XVJwBI=_#`*Up@NCtd_N=ma~$eVa=u8^-&f5XpCLbI z-#_R5WAbl*A3e8=_~j=(E6r3B(2zs@)^ZdOiSj#Grng`82IKv(w*P&vEaIm{()rhI zL|*u~;zySo@8`9AdfWarm%oM}7Pj=f{NmSNEc)^gBnL?KK;5Q_YPT;fJ)!Pyw>k+N zM$ygBe>%cX1M++pxcTSiKhp7yoyK`nodu#h6>w1r$m>B+gnB=h+U(19#{3Sw-)six zP6G0LQvJ(~Ilf*v{p%s^{*#|m z*(^HyuMEAN3uGYAiw$`%SljvhsEGMpr-R@OAeU3F?>cAvC-QI1Z)zckPvPu``W=o_ z1qoFJa{HJ2b6|Xj+D8>l?-!T}y0d`1{v`<&ydkFjp9#7wAhn0;R_=F;`N=$7&ri0^ zKW~?H{%z@bz1IFO8*-l=L;hThFLC*^eE((3pUa;qz%JqOopX>-4N5Q)<@^kFUdY?V z`i?9?(W>Es{PX{+|KR$s?B~BG@_!yFBocGm`{xDl^4Ih8ZOfnfsVaHRzZUqN59I!% z_T`n%{6MT=`}HIlR8=)NhRamD&hIcRJ&u3y|BdtbeHg+V%49E zkWg13FK6k0us=&OG4wG0{x|Rc6kYq-9dca>X&+!fzv}lF zTmC%%T7Or8;Q%0SKdAmj&yS$=Z22cz{=`p-smpH=RUmpH%TM#S zl|NSdKMH~@19JVz^~o(4$*~-uJuiLNjkbB~B<(Kv|Y2K>c z&eul&QGY+Y4RjNLJfE`ud%tZ_{)gnb9dvgB8HAdM+=sT@`tr<=js9O%-+n_NxC6-j z6!DMV--`GYPJi*+53iT;`+r{ky8P}!M(zgk_cZza5aTbrT=f1Lw)yA$6Scqi^+)!i zvZ?7OA>WgaoBt#+(#!uL!+z@tM7M5#xLxV~`@Kl$J|LGx6%Dqie_s+vE;X<=k}-V z-Y!)B_R86r-vKB zmB#x^{QDbmyNJL4lxX?=x9A^-zLo-c`zyyky!vOZPruM_Kb`>HVy1W8gc=Kxx^Cm= zPk-TNMLrL8^yz0H{AnP!Gr2xtRf!AV7`xrrU$d>C7N1JETGx{47J-eF5{JrM*ksx|IPh} zmVY+*&I2-#`vW`JUyRG8=ifXFf;m85{__35et3P}Lc{;+{S9sX7wOYqKzn}zk76BQ^{blLAa6bN_?dL@h zyaeR_OO79|+Pd#pskMgv*Am3XR{mJ_|1uI{%`MpY5Q4@e1Aa-jYPRWQ0D*R?n~fouHOGYjWMn<%r!HWN*R+hA&s3ZpM&g@ zC87vXktL$iqHZKwluAe`m6TQqsn95Uwq(~rgtUCMX<@n>+jQi)mveV6G z@pck)`vERi19?436aB6|>z1d>?K94oYUyINs-u^7xjq#UmKjYQ^50UOi zKweLzoYDSr{ml{xZmqvOUR{4zBBE75-cLzHI>mSXV-5IT59D%^?Vsm3wcQxM*G9e^ zXD#T~0U3n*Z{Dx?wm%<(;VnQ0;q$V?KY6}OvUfrMas*v%z{O^uX}|vNe3p%%+f*Pu z+4=we@qe`T$F}}+yObp$E@vw)wgY+p0pEZ3pl|@WeJE8Rt}&6l1;LDL6-& z){oHn=j6{$&wV`q5C6!Yo#aOE1Hye_<>u@kONh(Pt?^sk4->rOU=K9> zkBj2;<5hmdL{I$+-wq%gy+7t&=lv4l$D4rn3Kk;KlILm&6P`wsm;E5yxBLU z#FK4PFW)r0wD8owVkskC8rM)dL9zMgCi1To&Wkp~CmHmVUqX_D&c70486$lM=Z2Ry z;tPt(_Xb-8DidGj@ID3mPtfxK&Y`FGgd_(FNB5LJzr8}d8AiENK9VE&YA8>WzVY@F zLhW0SXp|GtQ95)_a?pIJ{SM0e={w#pD7@_~>IOx(gKx_n0LsCSJw*)Lc5D5k@;v!F zN`HUe!s!9*1CRiH{sZ-c(s6wLRJ@v>Cf<+aQdWE;we7tllus%L%_s4t_6MQogj$a3 zJ;^@*}0# z{r-H<;hyqC&vm|D2p7lm^giSNzwdzDS3sptI5FbXmA|3LiaM9#Q@dEp$!~R5uZ{byhbm&#O zp(iGv6fZre{R%nmCyg&(d*yK;rXdRl83rY6I&j51y$^C`p?gKL`tv1#_WC;Yf zp1k0Lb3*UYt+7nj(7a)NeK;C}H_S-A}&4&He_NN-?ssl~? ztsY1EZz8z0{U&`=bh`a6oc_gLf1=gDn#f2UAkTk_=vV8H4t45pG1`CK|GWrvwSf#o zD={1EXL-DJ1%=DOMJ;-eAH(0DP=4I5#@>I5mjA-ZpT=eO?JwuQnxJgf#YH`OkRRpx z7c~L3!8ji!_VVZY=Lky1HvgPn>u&=@MC}{5KY4D>fsIcLn0dtTpJ?l+-w^bTh@t!# z{{G?pitqQw#^Co7Ah)w}|C_{_H=h0B*GBu@Mj*J;1Q$(#X8$=Sd_3CNea829-G44z z`RVd+hICsJL-|qef0P?O9;2e^f27ZMF($f=agO}{hW;iPru$2fr{IA+o1M>XK{`1Fb|2eK# zvCkiIyQbT}&PcZlkORrN_{uL{{k2lDzW>lxd%hw0k7{E_BZzZKRI7n0?Aq1 zZ*G6I{Nk;@cY%?+fn0y&_lFPf9y9%ly~g-S+pof}L!wZRw;1Igd;6b&_!Y!H|If=`)8C7DCjfapqwg8YqZcf6tw3;R5-y$vayiTWQ$`FpW9kEkT$*Q8!FmV; zckai_>-zUF(tQ-j`Aii1+$A~lD(^A+&onM~oJT-61<2(m z?dJ(uzu^cZXDxp&S8YEZLqtyic|A=N`?mC~bmq688vcuV{P8&GrUJSBl=jEle{X?d ze{}m@IQyyjx25OxGIskHO@7mn?-@Woevse4C;uvU5IAVq?-~NZ3t4`;{GUWb&rpO6 z8;IGjgny>~>iO%L2>%q2>#v+YhW`|QuI;z2{G-Y5X{0*~$iqqhbM)VM`NiIU<9e;_ zPrUrw()0F1%WpRF{SuJNS=JwKq3&mHCf+M(C+PM$Ts#jn^-ryT+id7xO`pDS{Oj@a z3rKekkU{wT4)5T%^@jbZQe^4Bhy>>Xxt#U+p1k}u|F-$(?Sig*>aBh=h)zvqE&0g#u!9RKY9u*9*JoB8^QeBVD_0o|(wrZ4+nd%j9; zH-CN9{o8Ew&&x&2|23rhI*>sqM>x`Z{?w|=jroK6g2LIR&+UpXzc&!kTR<*9*?wdH z>~fT#hr0jqCZ5j+^77O6D_;HM{Kww@arwt?|B_k$58q2C zkB+XtOAz*5AlDPAKNnYhZv3&$5&Nf761MW=a?$1g9wJ%>DKHu3G<=gOLw_X8m=%0}%iF=RdgotNQZ) z5c%E=N zf3E+!{aK9!*8sVkNY9Gz{OLOIy@?49H*)_=?<#b_7=P*Y`|A<(V<4|5vi9Zf!r}Z9n6+KRkV%|1HSKrv>IeQK-jjjrC92cGzzh8cQ{FmwHe>?KM2bc_0AoaJw8x{Wj;yPpfj-J2Wf$+P5y#CAepWgWQYr}tC zfB)MFx?Kg*ll+UX{jjy4Tz_Nlf0l)O6zKkQbpQ9gR{rl^@!VWSERo*R^;RSa>2!P6 zue1K`ddDSC`PD7&{mB2F`2Gdw&eOT_^gPmUUHMBUh#!xIe-8X){{#Q@<1Vr#6drSL z^7eZ=1^3i`kRAjK|6~2Wm64=tOWQ?0_u2Fz8vxE+y>HlYQ6u`8xTUn@ZLy4L|d;;D`L?%Lpak(s*vBL-A62L2++tv%G!d zOTq87q?q{And^sSmjb;b4mNyPdWg|I(Nnue@dU)J-p>q2_L=BNZVvos6MQ}$^@HC! zP1QvHkHM_rCZ{inwL`1wZv_5b)*i>3??$Pv@W$UsRrd=RZs7 z9CH^;nNVY37IU}BcShO(w3&Nj04SvJv2uJDY zc$EI78t*AyN?(U}!oLvR>-dh8`D5Jj*+JB+a$;!qo6jx1FByK@n*Tc9kILH-W4vE< zIS%(KQfaYUdd=TIOUL8!A^qJI(!K>${=`=#|NnpgeUfWXT;lySz1lY;8R-Rtiih44 zA3^csseR>Nd9h$!)u)CoC@+3X+tXptMO5Ay@GsZ$Q}PHRKK)$fi|z?2Ujg5b{EL^C z3=HfjFQ!im|I);lzl05nPS11izpZ>!|9O=!il30u$-sUeLD;8qs2^o~IVe6O>znu7 z*AseA@smE%J*7u-r1v@>Tpk%h?LR@`C>}E%Gv1=}XaB!8Kb85%{Ml0m_2}?rKD7$M9Z3q(6H-yiZ`^#%9dRmW3`BcwIpHJR;G+r*${@AC_`PcI~h3n5!y>uKZuhSq< zDo2uE?hWT8?@rhsv7aS^J1Mw070BhEB3^#y=Jx-$>x&3~0Maw+CkH`K{HR;>mqOcuiTX`OH{VBIxmA=cZg!c;C2)eC+i?e}d z`31+kSI@1n)tJw&?bDwDx{5$vPSXB*=Yf4-l)o;&GeLJ2knEwlrSZmp|9G6*8I>@xKRUgYH5gum5TOdMN%}`=ea| zx*9;PXR`i|`g45B6U&VCSTzNLJJoPe9mvz6^=uoA^@OqaAEL?6w){A~T_ErONq-=$M=GxMw?6p3 z0?73&MNGNQee9_v2i%T$ub{7>+XlFx_dK7lzZE~{=LtG`Klg^9r-??h{^fq%``5*t z_Ve{9PD?-iMxbv3VKwBZ(IMkTw}N2 zoL=|8nu70UK%Rg3Jr?aZum4p~I{#cRwEZMTT7iFFPZQ-l{lMoB9Nr%>{y}i3IW8^% z^7<$9A3l%#$#q8mPx~XZ09{Lx!jf}LT z3^A-Pw&Z^L`tSYs8}iE%6s!#{+R}skDE$f5ZSnn{*dF|L$j>)j=Sn+sLe9f-1SMf> zKY01+`hO`R>I^jXH`HR`{-4)uFxJE2JHMpq1iH(BJRO<`UTf^9qWgb^<3D!&=X~k> zcLCo$fDGh*98QC2@8Xni`=ig3w#`2;7d?Kx z97%Nt^8S~U{|WI2h*$pc>aR|}C-OZE$nBh5543CCg}cTb;ODtGdOck)&LBY@A$VL_`Vj%`+sshVcBQhL)puW^%#0TmHwc+ra*dG ze@e~$sZ+z3jQSsY{pJ0N9D(GV0k{|lt>)CDq-4GzRKeGN8 z^ZD<>$&c)U;|xc>Zv=Ar$^FQ@`P(B#{nP8AY}4oEugh-)(!B%7>ra{pz7al<^Pn;R ztNmF=g6@_A>E--8_5i(COzis(NR^MKW{@sw^M}qF?^nn_ba~Vk=+S? z#{#+hWcvsCal2G>^XG*te{DbR2H%T;y#7dk(9{Q-t(f(VOZChPmV2Gw{|bR_B9PmO zJoi|o85`#xKEn3{&b>k)xN{FK?gg6dmwNm|RQo>;bmM{CPRRL#6Vm?0TmQ8DCxGw! zfV`e2o}lrAPQP&aqwU`$@clx8@|XSpd8f6wtMPuf9^QM9tNn5A$Me}hu0Ls_b7s45 zS{^@OoQK`U*S`lq_Xv>JKl%M~&g7xrSK80V4^AtA;Ld}%co@k0Nz(pB*$aHXcoN9NC5rinCbn9id%);_H1_Eq1>IC2hx*c==nv_U ze$<%1s_4@{27@<;6_+9`s`wt{P zJ}%MrBi{6F>3O*Z1=w{K;$jg!U|8QjPnOfiJN_%W{J#T!bAen>r2f}@tl4$XedadI zpD)>er`sjCSOzrfkLtgC6Lmk5cR}|aklTNfbL4)Yl#Xrrar>p^_de2H3N-tVC#L?y zZoeqMU{e5{<+%6&$n{K?AI^i}^+)%gZRN+)kDY(cR|TK{72x|bATKA`eq#M-O}tmo z)o(vP#Pd}^&ZpduchAFBf9r0nU(I)(&_|$K3FPer*~#KNepn5@cLEv6{U~y`{czRG zV!Lr3Un^gJYe29T$mK7;e{B6;?uftJ_)=D0p$H3vOmT5Jf>aXdoPgZQ|iy?zs8q&{5_-nuO$%N z*^P@mKrUygKgGQNYOB9IU%LL-(x;NZJk;}N(f#Q^xA&*-UPdhLdB*bcC6mPO({7Z1 zrwH#D^2v7N<#<}p924C@|TzMwd&``PxtEF<`Rhi6uhT+6LC-V&GG%-iC!W3 zwJ9N-9}-z_yhVq=l_`NRYU(=`UE2#2j_HC`ea`NhJSQ9gDxmkxs>wH zvsdYwe%HEO)O+%qFC#w8`2DrBI+hk`;bXGjErs~ad`LUw{V1NG$Y}gldgHfBi3<1i zmw)s;0KfFo2(R;@^fXeAD&AE1F;jT5?{ps!N9C#XpFTzT&w#wj8t1U<@G9Q&1|JkJ z@k`+&^R4tPl3w|%2gNI2j_UCAAEb{7$oKCN^+(m)WbmQWozm{dgeNmn#pBf{tvhvP ziuk3;=AWBvE`xm&Qc)i$e&SQp)4mSgx$uvXT&ezQd!pn(bX2a9{LJ*`$;*f=@0Seu zM#@FSNBofgxEyDAKYE^_>i?l2_5lc@eE&XQDxNgMZ=UouvOJWZeR@Rts{H6Vm3vSu z6;)T28EEpW!|`(0bm3KKk5!4(YgO;l)UhEADc;EX^3;O4uU#-C4fTfd5fI;X32&HK z9{%^lhnAzsk1B7HJJkm&-)M4*jCaz+@Q==wCw_FgsvIc)Mdx3?_uuQ<|D*o(nK?{vT=`Fg=}FZaji)NiEzAIU*Qm*)ohXC@yIUvdAO&}9P2 zIh3yyJmBLyX>XqoA6UNA=%4HUX>x&dcqrNwnSUsivx=GOt^NK0Trd3g!zl|^%KqA`RDqh=LdpdK z-5u@oQ$O>(+t}xKc>c)_J5D;%%K%b+P`6V5u)d%4Og*P^v6mk&e=Yx0k!}Sb*MDih zu-`A$6BVqkKyc?YT$~OhJEm@_-%@<%2W|D2mrHGd>^f)S;#?pvC;5GSbH;?TAKzzu zU)1L%p9Q*#KrVlI-u&b-hsO8VVazYp5eQz$`4wG%&PGJ%0D1XI|6uRDg005){c16% zA5H%%A>B+Mw{!CQs<+|W8e@G+)i~4F_OCM1%>r^gm-<`G*C$i~-{%1t$oXw`Uwqf6 zoDYU`fYhF=TiMUPptn5nWS8OJpx38lgYE(#uYY-N?vcFP>b71L(f>hk>-xj(x3-_v z5K(m?uRl_MZZ3F!kLrW1{o(Oy{jY&^FQN?PN9iAyiTOcZuk`oT3lY91kcX4w9nkak z_rGs_1Ib%uGa!&%>+)?44AeVol z$Qie3&uL4(;{AWoQy{og7Z;6yru`c8ZFm5>KWhD{2fBtp-hY<*`^@l-sSj>5_S@Cx zb=L=710aLYCI0tSuD=!i{M+h3=S#O=w)D};&z3$~{l6F)ZVcr81i8MYn`^Ps2 zT?-&DXQb~G^?u*6+aE61c}Q6i%DIkL+)`+c>YWsi0tO zaM2NHmcKyz!|jJYuZiqx2hejnA=5v)@t$w;O06-*FSUI8aT(~k0?qb|_BY~sRZ}3i(-{|CfMgfc zE$O*ge)K&4@w09H;e0s)>{|Cfc)z%6%=FRH?+!-#0nPIB9*_9K*q=uD<<|preSq9f z$o4PquUc)sS#9_?X#eIbK-Uw<^_0GMtTpr}MlK*8E2+KU@9da*bX8qtRcDjP#`pF|1eY$It!2?=?VPeo}uu z|LFZj`=Ry6R{lI*Z9fMf-GM+Z=iATXD}{?0(m`?`1o$2qg@0Nf&-u^r z+b>)BasFespV9aq1-|D1dH+?OcRlsp?6aRb=8}GS!DbKi`5z6sn}NKal;?&H*6sW1 z;U8QYr>kH+1cF<)KU{t~|F* z-2Gg~FWmF;zX)9_=ynV)?f~*~N)fqP|5@F=*$!j;;rjHqf$nx7?`O&WN0js45!_mS zTrOIFZS{}al`KK&--(NRfJyYiLur2kWwt+g(I#X5Q_2;;vB10N0mB>-f`2$qU)xVx z{(1hj{kj|Jg@9cCa{OJ)=O4#`@9_olFXbQpg+4Ocuh{#qTzE>-zfu(tQ-j>mTNiLLVFRuQ|T`eh_q1fTsNl%?Tek zxY^L3EP>$8L%5g>Xys>H{@niQ z_Rp4{x9fWT<#7mNY83g=d7->qwft?H0q% zbTfcvK9>v&A0%|Vi2YNv{GLR*PXqb<6Y1~I#{Nh_zy8hy-BUoW|58s*NdI5kpTd=Y z(bd0aknb0O-2Tb_Yk1jo!!L~WQ+j{%XF)d`$UyoxQU8P6_1MRMTrYL~eGUme59InM z{o`&NaK_Z+kBWHxLG1G9_9IJxU2FTv^RM;)MMU&6kn6u3Ka5+~wE4(y`2IBV`wyi* z7Z)!9c{x!!LBZv!>yNGea{gnNAGd#+ejfOq59H}c|C%{B*7*6%FZuaKqN_k~=M`MM z3gr1u6#GVoCy>53_UF&`>234R+aKNkehulq4lDyy5Io`M1;2sx-UMtC7>Ydi1me{^fa{;-t( zLR`ELI>U%e9kePxXQwEbNKy2U`QzX6f!&HsF9=x+^y;MVqs>xJ(Byn~3A06G71 z{DA$9xc$@gw({q4CB1Zfe`mD+#b^D?Qt-VD$n`8ysK=4(zYyHI z{CK=te+wsnY8M>m12FO-kdIU4{L9(l0$AZzB!)d~CFnL67b}2Vf8_jqG2h?rBk;W` z3jfZt@4Zs$%_Z&`c<(_-@9(@4&({HY|4Wwtgi-g*Tl$gF|JL(At3bCJ$n`%U_ZJH{ zU>l6}pIHLIt@VeOi*CQxAfmNE-v1yyDZc)_>%sTN0{NHY2k$)Hw+;Da3j}vQ#>EC8 zx4%?>i*NgBTmQNJuHxt4mY(Znj!z%mzjw2hf3GL@&dK7Q9tl^L9#m4ObD~edIk@DH z>)Sigr$@@vW35YwahU=6mw@wJ|A7DRDa03$^q0=5cJTa|OXp0l>h#^pPT$ex?}&mAGpD3(WjC&90n!a3ryaP%vaqVPrjwWXrGFNf#UUIu)> z!Lpu%td2L;`%ye}4s}WR1tvs^pYlQH)docNql0%1pH>R~mL+hGZS-@(9q$*!`Mi2VBLeW!s(D~G5{paevPTxGgndnXbLv>H_nDnU; z=O?Rp$-h_gMd_12Bi$<`|K4;#_w@dTlo_i-gXtV>;=>Uto^qno(dA7RX9Y$33tpVs zwS9S%BgI4fW{8xJa^xSK&rIb*eyWjtdg@QHx$VUM6 zhUz(mC;ANW@nw_V{wbaKq4(5&A9EkCdg;u%gVRtiG@Y_ zex*DQdf3^mtA6mUdryA)%t3-~DSQAA__!v|?YaDxvSZ#b&$I68)6+PX`ZLKCu|l!y z=hW$8(xY(_As!2b#do|%{rfY)Fv(NhN`HsdcYic*$$qyQ z-g}VGUzg;~#zPcVv=f24lO8QDFt+? zK+;EbOY0SP8vXrDf#4DTwv->dN4UuHBmQms%bc%(pS~?UrKk9!cE)jnV6;4thokmw zi}AgN?4bR6Th6}|Gyl=()4_KIAcIgF|2%rqQ}te-N1p+LQ-Qqv5~J3CO2=0Iyk1lg zM1LACP6zUE(%+(p)@wwQpDq8KK3@HcxBRvKodvm_1LSsAe($*IrC%QTez&n7eoKMi z4$VWIjR#~;)NP)-7V_u$r*_|7|9QPCI{8%s-!*_-&*ggknLn(%_K{6|Kjn~K@0|&{ z^MTYJsoU`Pjt3q-_|xVH`-|XCWn5$dx&3uS<_Pt@jq_Di5WTJbartTcbuJ>R0_5pP z`vrer>K~|JdcC)8`dluV0?9e&;i4*#^O=Zn#dp3Z8+=y>a{ZUzE4=l7t0KM^P(CjJ zT{R#tf4N=<^JQHA*#g0>=Nl@#7Ls4lZf|xt`1QmMA|SulCon zl|L{4c;&ClzYh4W59InQ^{-8*pBLS}+E}kuUm&>eZ(9!!cs^;|x5-#9uFqq$%|DG( zR5G!*A6zeDZ$G&FYxwzZh}reL^#|QXc<+JeF6fq?UyKJ_{wY{5xYGFE zR(#fLHv!+*0(m(}`zKFxd!x+(W4-m|{`j>i=vo80os#)KR-@ITJB;&yLfr&{JI!#> z9LVjIT(9zH>dMSj8;t#kU7sEk%f3NMrieYH_NVxcKU#p_mOw5)$$x{V7B6Y>p)r1I zED${I_Tv&n)C$PUU#7pfZRc*4--~)4apCHJ?Ddz%sfx`80_-|%aM2dX+nGFf{@SG< zm74Xnn?(d+l;a}0wdJ4NA79;kf7{CuVG>2`p*+v<%K=voll3Pv|MPtNk+;Y5E+_1qd=lfE$KZ}ff#9YII!D=&YUzW3V{G5#k# zy%hAFfINMgKPbN6J8jFK%SDgBZ0Si}N=&-_?h3he1M+b4dq2Kc^L9z^cVe4a`K-ULYaQ|bQvEEXzH@^aOR|3uULwzXQVD#T> z3Iun0;-VLjr(bmI&3U=%@{hOtt^(h^fxMq1$N$BAzbD)LN0VP)$={a$X!gUFo~N(d-|La@#XxR<*Rey>EX8;rWyK-_vz? zzp=xYCCuu1#HIG#dnNk&^n(%hJ|HhAxnBIC|7?Az>_Made1%Vc1L$r9ayiNMg7-Dt zv1-^s-hXh~2?TeB;9@v1LjSzyha%>$NuEPNHw?(_hm>;^{ULhW^5gl^<({wQ6ed*}DQG}i0s{^Ll{jRx{|R1R&QxS%2>dFHG8H%wOyCY;FZz2x!V*Tz~Pe?#iw1>3Hu!sHI>3#^CvFKyE)| z`{{jPUuCQ}Y$y=CkmE0{|FC}<$oucn&vT)AVq1TC{V%%yvu*m^F6Q|8x2322DluvMa}VTpFVL*N z)PLvc>;C6B(2WQ3aI*Zo1vo1V`w?&dKlb^zX!*C5A8!}41hQMm`V;W!CnBOLKyE+e z{KesfZnvHPnKA#X?Z+h0-4EpDC-)1UR{7zZM}BP7|3(7A3(3FMp9c`pWFVhEkoF(* z&%FLO^y~kFpnC|&>#rPtC#m|+pX>T>TYmADKetPD1=w{S#>FG_AU}rvN{qU)%3T!S7TcZ-1ozi6uGnD(^A+|Fr~V^D$gJ4&-u@`Uih!9`DJozg+&>em?=e zX8^gJsQ+W`x1KE!+?j@p=|Hakk{edmj5$|=&b_N zm;JvFF3YWca3Ak~hqV2E7Ie=8&H5wc?B_GXKR4`u3xVLyY+O7CG~3_YV(xGA0{DIf zXtsa3!~31~+8>`9^Kbh5$sEwVSYZAW{r#eNzqE=#@Iscq*1x%k=p`U8Kl%MNyj?`4 z)rP-vmOyap^m+ZO;M2d1h~@#g{VM+BuUEnMd?2@za{jnf!TaSp%vgl?Y+K zOI|K|ze`*D!}X`Cpmg5A#hXBG|MY%?X895Sw&`=ZX!~PJPw6Q(b^B*a&(qiR3y|-( zfm}|q{aYiCGp)4V(0|>2*rw0rr_*1EbQb}6IQ{*BKQBK1qVIt3wNdzY`abd8kjC5G zN_g)%&X?}Leh9wT6v)3UzYdo^)u*C)UWELvf!{~K)j+Pl zvi4 zKXv&<_xD_9@9!Cs=OA7;>YL8vON#yv+_|IdTzMkH=ucXm-iQ1&DZg~?D&0H&xvHL- z$oLQZs{U|QIiDgF5*_J1(M$X2{d{}mpCfCgug+_v^CpR&;v)=*mbZmHF-zb)*5lwq zhu=N$@k{IPP88l}&7CFS@0A2T=v>lL24BRdPDlB{odSO-{aoe8ybp-xZ`?25xIZA8 zc)vu0PKUqfy(7;*Sd;iE;q#^9B{>B|3-6ZC`OBDyb`6hZ_7U7a3 z(sR5YrSC-XD+|K^jp)ny{%uMhN=L*?{+B9#$}gppfpaG*UqQnknEVYB5HHbF{xihB z!^5`rSsfJa3oAEg|ClN|g^y|dA}Hjc3UZ-aD(J}nkm4bFiZ2NNWa5j`rF`mej`~49 zK{0qrlKd-=bcj9!e$uJp$ZgLYzU`S*=znB6tLTW1(oOT@=kKYVAq)ub_}dC;B76!_ zcJFlXLGh&HTvvKd>0}t?tDmd-Kz`Sebc&yHQO^q|e($Rh_V}jxB049U?lVN%tt-zS z*(L>k&t(u_Wc?cOP_5M!2BhFUm1hRdJJs@xcFwKmW}8w*e6>IPBmE@*Z>kSw`38kL zZ&jD8il5qFl7CQqKdSAeIbWo~j?jCe!#T9qX+D*F=v?JABOM*@#GlSwKO~#vZ~B=M zzZBlQFFOCt%?H-?`N#Y>%MR+%p^*NY^c}9G5;*>+h$CTpnEadj2YVjrze($d5?Htt zu{JoV<=bcc=-!+EdFTdz{6YQFbMT(0pXYXdsC|R)R~~h*%1=N08bP;-xJU)^^z+;~ z57v||(tbXF=CtTlBb2|oUj^OvL5d13tfgPuR2epL$6 zr~If}+5h+UONt!-5}yIk@pSP}o)P_tZM=n=t4;&{MNm2d?)nmQ>k;+*; zk9EJeqV}KB{M+_lN#2TozdvR@|HkECMW}e}$4^{-WWTik=Glmlmy?{o#D0yW-zu2? zepViI89*vebu0Z3y>rHQ8{g0C3Iuo3aFGr)^_TqTIREjk|JV61T>0tpKNWme1X6uc zw{raVSl=4Iui9#?pVRA)PXpaqKnA((L_e&b;PGnznbSc~0m$XA*FTV*P{HE$KhF|K z&N%}YX99UTRDX-Q{>5H@;;ny0OCP)b@p?)9N5`Rgxh%-vtUt3Weg5yKp8wj#Kv0De zR|*7oGI3Fv9x!YsihKP#7yLE^ayywQI=?yf+DQWrxJ_8TdI`F%f{XKkX8SWgyj|iA zdyMwKtxta*=&Aw>*8jB;^G677ZU4FcY5QYqzqnj<`<)F&Y5}?a$n#pf^A2_x-~TT0 z`(GD;t|pN8Bc%Kvt0KGh+l~H@-Y>oy=q?0uJ;%I*JnxU&KfQjvI_PQuc{@S%Y-xo2 zNuGt1-^ri9<8sLq$gXn{E^>fef93oq`ft?FRKaxnQMmla-v1zZgG~W+YU82-kk=pC zet~~p{+j~ozYyavY-TFYzC)Lyc-S)2$@-2X7{STJdwB)qXU%8oh zub{o4+lz706lltC-_brl^~>FD^q;Ev^o>DB_MO*%>VHJ~FM_O)_BZza2d}?mmmJ@J zliFuqPo@4x`F>CJ$+rG-yB@p!;{20dJ5F;5vIUUWGdX_!_Rzuk_4Y@sAC6D{I{lW2 zs5Ow}qHd-C;Bz;n_w2Hrw_l+a0>Pb2aM6k$3>YYY~|1SidTPh|E~=g z=>g>WgZZ&zpBU>`^!^=fL3b(8tUsdti@PT;-(-A0Y$_1k_uuSD5AvgE?w|L}^`eH~ ze`t^J9e|vFssE`-PmjECfzf`)>;IE2h|QB#e$mRm6By|NR}s3Hjr7wEeQBr}R`bTK~Hu-tNF;mX2J%;_ZLB#wdT?es@Fo%YhO4 z6Xm=v;>VVMZa=dGk~?Yb2l1=Y)$+RnjPwNZ_EXM3M)7|++5B_;(f0dFFftg(<(wj> zJbiE8s6W0o_S?VAw;wdGdmZSx{Ynw@ub-GZ`PzNPe%ado^#)ykAlDzc|Hq~wr~bL@ zW8=K5#sa~eKDf9V$j4cU2)8z>|99c^F9Y#9PG6+k4`}wk)CZqP|3%U#+w`NApDjJ5 zr`Xi`dky%$7Rco<=g*Gh-B!2tD#L%jjzDl{04@dsc{?NJ5B=xmqQ}3s{KuPru9v#~ zwoRYcYu*379{C;wz}RsqUC=$(z_AJ z^;g=Tc4a@A+SByEuO*1h!lke4-v~rB3dr>g_N##N3MoG$L3b07p5r!Z{|)a?TKmcC zf3~3XN8{pVAm?B9pHY8!{SWx`g_FM%C%rDeTfz4jAm>x^kMDoH{>FY@FSlR1{W)3r z=lRn1=MLoiH6Sl%=|A4R=VLote&;g#5W3dyKimnri3Q3}jvpta4EXHsBYgfiw}(J* zXDlx61Dg6XWm@=m$Y{Ux_uIQbHv!1yEcxbj@|BSu zfV`Zf|IV!QzB}~J7GwO<+)w`z&^-p^`Y-(-A7C&`u{lio(kmY$oymel-sW?f#4^t{JH$J{hS6yo&s|D%lWS* zVF$XkM*p|2&;NAL%>R$jc@6`A1$ZRRziK8C*OI{Q-<M z!#AcrxXsvqAxls&+w$Z3qs#9FL^KB&(f^qg?!bIt?BAs8U*Xb^U4IiO!yan;ITz1g zV()Py_utBur$?MI^($ll$ohhU+w#xtr>;LQBcgf02>pMo_Oa1JHW~fT+A*ik2 z6{Pzrkb$&6&cTBB|DtfV`H!YQw)9-Dbp3rDj4TB5`YZQOE`9Fu={Fv9FD8b=C@vRt z`vxxF1adng*KY=!J-g$HkE6E#w*2$_YyF*%bl(Q@aB}>x@QGV{HC|@yAEf&qZ-H(B z(CmMy`NzofG7-Fx?XTwFHvhc-Y5QSIe=0HTp)2Ti5iXVjdH!Yl9sJKn?=L;-Rwe=u z+X%W{jEi@Gru^0V+aHbfFIfV?V*m{+6E`^|ysjzZ`TQ06CxXyxy?+z3Ye} z|16*0HvioIYyNYQ?g}8c)3W?A|HYr{_RBVXp0C*JALn0}|3~0^C6Mcn9RGX!SAJ-m zKhZ=WxOM%Bmi{V4v=*2|5ql{0cWwB*)Hz1`-B3`l)woy#OoM<5jTwcvB&X7N#emedzua%TLSTu-{mi^@<;m7Rp$o&0zXajJWulX zq`wBac`hZTNA-fzp?a!uZtwLk_Fi8yYIS?=HvCbO z{qRcf%Hp2l4G21aRr$?D#_xDP^1~zf5`Biq@_ytGO3w*1ggVbP73rc}Lgj>#8$GA| z(D{d&Zt}r0JdU(mXKTHaWW?vj=`o#gtC&gPD>6OAcyA(h1N#RJ}NDt{b zg*)aRd^@Ztsp5fIyY8R0tE|{^`Y$ENHm7`~BcBwW&Y3JLmcAeUl|ea@9_aXQ^5)A( zPl=w+WlhDor74Dgs-`D7sQN(kgw!7Bdf_$CbdIgmQ{_h)nZ7zln94n%ru9Zrd_l-H zGT&p~3vYm*Cg$fo@Mhiv^gbX~eiZ(tqu%Ry75~IvhB$4(lnFHkmWRBkyvPojB_1fYTx(bF?HzqrTP^D%;MDg1eO!25}bVnoPeFl)%Gx_~7%J`G?(YE|JUu6I7^_S8En*vzK@uMC;pN@#m0doBf zh!M+sY%X`tUSs}8uYauoy0d{?&hqka+a=NFy8e80=|>22l5H$5s=})dcc#mi-5`KV1KdkNwI4-;IF0pC!LPq#ghK&9xhi?{{^4{i_AKxO$2<|k+MKd6;|5EA%$Nk2S{=_Z#+C+wZoZYX>y#x0-+0ZuFn33Iw+<|7iN#9uai_a{Z(7i|jv8 zf529LJbf)cTY5@Qu^DgwBU2!|PA6Op1}4)B57R{F@bP)KA9T-U&pZ0|>oPpQoV~}5 zT>moV@sD;~vU5Kl|I722D0pXFbOZ8y%JWOH|GwG&QMfLk>k8!cFU@a%xcvY7=AS6P z$ff`~-Enapke8nvKhL>uQ2QERMC@Np@$~@RRX{E$X@4h$f4idgzpnsY&jQoWbEky2 zPigm6MEir_*7cY81)U)JUbwgt$je{u-xWoFh~BpTal7D%_~>=}*&7jE3*`1suD`gn z%dT3bHyZvI4gC7o2Xy^_eEx*&*IJ|hTvs5tb2Tpd0!{l(=dWt|Dg8|uuY$rYc)aX*wRPi zzi{+gf3F84gMeIrsGe*w*01XRU*XcHc;lbHx&eF-0VV(y$n(QzJ$(0w{$CmW7v29Z z9RFH>h9bR@KrTNTzwI*gSNl&51KkK9*AqE^>FqzU)#yKI{TU9r8w*T7QRH~zx9?mo z7hV2^%YW?U7q9;Eaak3C>^e8$Vib^vlkz_y%NQi$AxMN&kn=yWFDJa-&xS;%T{^k5*F+acQPVheg$ontS|NZ>wO>fWJ z%=>ThyDHU(v7oyP$n!7zZ#Ca>*LHr_*gr?lpBAqEYWsCJ(hUKLFLf)^zvImQ@4obw z(SK|z5WJB6Kb`(Pi0EEm5=HExZ2wq8x%?9G{bfV3wg2~n?+1VkLiK$AKW-O` z&;0E}VEApuIBw+rN8b96hYz@Q*!#=<`ac=ZUjy>;ljG;XXM8a2>MyzftI+SlK7Pt`#hl4Qzpu34`2Jtdr?=&w_kVQz{W#K{T44H#!nxfT&`OFPa&eGf!xl>@-OD!kDdYF&yqm$qx9eNZgaOA z?YB_R<;%j!PmdpFdkHws3qS_ae)oIuzSEK(+Ge!hy8rMT2%ZOW`zQ4m{dZn2@$R1x zyZ$DyjA{LugXgaTx&4##chdW6&z+|KqMrYG5p;8beEcW<-z%N@ZOZ{0Bjz6vypZLm z`F{x!y$s~_M2?@lpSgcnHlEw-4{tvz`t#wc;M=O6@dT#%+ z{QSR;e7^x?AnT91-{kUfMGl_Z%b%yO<^LuUTmaGN{c>D$s%dWs)ie(!?s_kdhZvi}!eK619P{>bSj5Ik=C_dX(83QVSmJ(T;O z?H+sU;MaEW_1|*;846ao{A>HW3=!?12=ik|wv(O%#8x*u|8qz8|Ci(WIv_76S^wq_ z*x-D%(LFCeeQsw#w;$kQC6L#DY5%eQGld8|)Z@=wJYNCic0%qSTSVWFc)qm!K18}7 z0r~hrw;$2!Z@lGaOV9b&^=B3MUJGOpYT)mG!sV*ZZ&?k3H9#It&YzSkc>iKb$Cm$S z_1Bi3_usNbeCg}*Uyq1B0rLFI{`)s-{l^)UU>HNK1>Js(iw!_t|E2ys`stmoKeN%8 zf3ND(+vcB_zivM^BHc{|rXPL(Oa!;Ke>{Dyf144}79ejwbo3LCxPV0 zaQ|t3c>jo5#`veXpkSZkVjGa>Q`$f5-^|A)ReXBe@-N!@lNEFN+32Hnw+qPi zUzR`4&*E~?`WtWlcO%_BKrSaKfA6=}n7@p-|ETppUjC!|kMFfV|JNyld?tzZ7rZ#N zYx`4h{^f7JpSbeN{n1tax4*hdE`C1>^yaMY z9#i@70lFu>C%Mq`fS9_o^VRZN_E&sX<{KQE< z3815VXu2Pdg@42kA-xa!@i^*-cmg8qbvd^|S=^iF$7=e2{Sf|@^XU|y(et5_p>ZYU zll;R;Z%7XU;;r=XNy?>BzQhluPjWNMRm(y7-KUE1;mwurO~HB9bk21tEH#O$IJwu1P;&`JuRV$>5S}EZZb19t+vFyI^L9}!q5UTuxIDa=%?kYVhFOnnC zlYDU>((=DE{8_O)ohMx$`POvmT;~+{>znnL?rFb+Ncoc-JPhgh`MJLI+~Ct8e|yuO z>2xW6weJDR<(Mn?e&}}aZMqK#Rj=iDoSSYb^TC8!pkRlDLFGG~GAON$V#9F;rMDqh??D-z2A$e|nX_W_ zKjzO~MxIB!BEp}2g^fS^K;(#zds37?ZS&*q&y-^iBhMo)kM{{IT%Nn6+U5O@jQf{+ zPyXk*g9Y7EKP{0SFsvg6^*OJ_;Scx3eI63$i^|<`D8E6ZYtAQ38Pn#Q;!qH+LCjB>eO(J@jb7ePaiP&rugt! zC|nw`o(u0Cntw>f1By@G=DG2nXG#9dT>exK?dOBJT&X>=r{{9j3CiP$n8L)*fnZj^MP{@8RwDr7YOcT;G#N^^jY1eiCv5TxW9G#Zz8_ulRljax+*{} zr$jM-{^0@dv_0fj!g~+oI$NSY4bRzo3M*QP%y<8q_{-kI#(o-&eEQQ7wjz+rFVEfA z;nJu2RNQ5JPp=~=i3+%&`66z=f?`Q{JDQ{~jPKFlvxPY+wJWyuhXaI%nhJ93bak_HTB+FrsPlJBIx9egL-eqjp9mlO>Rx^?VrTU*|s) z5uFR<`lHVyH_MOWs|>m$gdklid&A+Yuc)cvT_TxNcBpXQWpt?;Ij@KdH zW3=D;Jol=gJ0D1LRkzaqVLy4^uGSO?ZY@7ve)@Z;t^7E>w%-?kk!nC*{!;%@e|f!# z-F|TW*Y?Af|9H!v)9e1-R`6b_v*y$lCSWR3s0&@LH6I*gW zef{_T`;GM^y8m|(=o$jKoF#qPEZ#MjS8wdn< zYT=?bkhk-4+=czXdHKce&&%~M_VVZTO54A>;JY4>rz7>(`>l=I|FzXWZdY~vtB-UW z06CxXdrT3nXXEK>{Vg2-G%k+6{k$0YZVcq|r*Zo+V?Nvw2ySivxLkGl+vYzSeN!-U z36RS<&+YeUsc|*$+-rPK@8t8}40J7l+|JAWh<~a%|b;6-2%w%mt0TpwSR9L^(R{(_(>~2F4w9>mVPT_q&?7-e{R_P@7odKPeS=` zjf*xwE*?lJW}mfO|X`RC=Q?Ppu0+YZR(B-4*_9tqV4+xo-nMeO#6(o<~e`r83~ zcLH)b$@VMr_`L5oZZqb8gg|hoBQ7ol^751On8-hWuGb^j=AVx%W7mIPegU8V%fR>L zK%S2D$Mrs-Z8ye$wf*s9XV7&4^75DU_v1a^2;M$G9)(;wUN<8rB1Wa;-nzIy?=oMinQH#7N@`wkoZw~PJsuK-<7AlK7Ggp1ry z2f+(jeh%WbZ~uAy*Y@X1Fw!5$^Dn>0hqrUDxYO`w)%trC=z0Tr|5u)8+hXDVpVw?K z*0U5{`Sn4%R|6U3^XK7qDfapwO@I3$!G1sUTJU`nkjqKVpPb*d_EYD4@6vlOn7B?LxN{vY zZUmb7Kendgi+iv5A)@|MI@g145Rlu+JXh@}{B=bAL2&E(Pw9b95dC0W+yIQQ-`?|` zM*lBIAh>n<+%D+y8-j?20=b^Z_6z-|J+>kl74 z>-u9$&&yBO-x1(@B(UJ}i@qOeyy@H0^LnAj&!fQi(?BjK+5h>b(%$ryhh4HSD%b#l z;Ld1VOs5C=QLabM&Az+WVE2fdlmB@>f5e;d{LcLE>6-kJh97XN(=!h{3%b1p7qci^Tu-GxE(U~ zhk7~FpI^uQ>7B*`!JWHt5d!l1EA5Z>GtcAA#B=-p8!s1Kezx-G<)`V#DF&VKK(2qX z|L?6^d(Zg(rN3Xo4?vf)9h>5k`m``TZdGvA#8aU$xcfziIuk)xT)^KLtrW4&>qF z{IfUy-eUCMbo=ut=pF-d`;#Wr<0BFKDN#DM{Bym~?UyY*rKkAO_1~7B>va|6%WFmH!#w`zau|Gt!^;(8N~ja}OBfNB#ZoNzly%^7c=*KiJQe zKaairjyM0Dp323({iE_iHU-d`g^M?UJRRBpOj`5Mj5GG}{V;O7`Sj0#?m1ups6g&# z5#G+|!b8S>IIf^z&*EY>kn5>zKckF4h~8HJc>ZIrKfGVA>(BFG(A!n`P)EV|D^tV=aFsY-%p$t0>PcPaIpZ$?S!=d zus@uysy@A~{CK>v+aIo%Rs8f9g75c%3_=Y>D7<{4!gizos@G2}0>NUSX}?3TAADRB zd;cw3`M-m7-(!s9CVZav-^_n4LC|-BTu!8?X8kR?_Oo#1?+CDKZ9jSYlj+khMMTSh z+)hgU_15q0G`=6iyM9lnzZ~g)0Oaiq$+`Hhf3Ph-uK(Er*>$4(6RxoLC+wFj8r(Ox z@va+73gtHPr>o)*h~LAiWM7WC z${*@?geSeD_jK=w9(gylOlez6G<@;4AJ0!q5`R|gn*Pu`3F1)3(x=BwFCmU+_m(?b zI^wMLL!>L-U#@2sD*lFe$*(B^a-n+Xz~4%zL-|sEk);tn2}t3Hp3aFSzpN4w@hktJ zWaGKkyYOi)txgZXA1X@<)k*j1 zR60SiqGZhx_mm0x=l&{rk^D%HwfwkVX?dvlbb8)>$Skj*m>71adpRgZAKo;p@vY!{ zcB&ZeIXaTO$gft~SML{$dcN!&xq5o%3qeu(`|}n~-$HUAI)fia^P~L3NKRA_bor}v z1ER9$5KQwF6u*wwtFBAa;GazL4Z_cr?ulOOt%{%S%L{d{`SaXg8~&ZYY*76C{*|BI z`+Ir#V+O?w4~7r4rgU|D%1)K_&wW+pNcq+Ip?oVOzDS-FABCrU(R1kI(KMmtn--NH z@3U=2n&FQ}`b_af#!qsJrq7&zl5f$SC%f#=TBrYG{&(f1|J}w2|GSMg{&#bfV0?cx zb(?PBslSwh2fUw^=T=y} z?EMiG{!kNT~AoIv{ZhB1Gt z_aiS{|D~oNc5LZ6Uu1V3|NPW4h%lKV_E4S!{n56skC$3!@UPdOQNN1l2vsz4KWn+0 z|CXK~M9kk3KeqhyaZR=$Hf`xCJ7@so#l65sOuq(YbZ^FQT4 zmkuO7RJVEVjQU#!mzZ_P_nVp}I{GV?0B6(3t<$>sNxHD-Y!L59@aw zbNog9hQiKYYWWqe{Nkk#2xQmyzpH}>Tz}KVh+c0FYW(~GH;V|u80z4c->G zTz@@n?H@Jz?&tF#p>_hnozrk}7Lb=;qL>n{K9!Cd^{<9ce>&*S1d=^cxAHs!uc6N~ z%3puKs{pz)fIR*G)$-T+QxW+-8_1!th<2V9*%Mp+<#MeeC>>jRN>9;g{wpD(Dik5Z zdLpzdx&Cjfce$iz-s?~cLBTR{Q5ne7Nfhew7GwT3cKgfi3iX>Dhw9b2NT1qsbu0A` z{yV%~t_Z$Pp8er`>G{|5z;`tuw;yu-=X*;gCmq`nF@J~PPE}l-PY?2={C=B>`8#e` zVwXSXKOiWXY+PIb$vDrC+ZFx&%~pST`DOa)+tPEswEkBI-!*{Lk5RXB{ps+& zy_R*@WbEf#E#~yO{%ZMMh;(ZMdHXHrud#mAtpAjsnxMM~$n{5#i;778y!^HP<{;f# zKpsx!6Z#h||M8Yz;piO!cCF`MN#2T1>rY)oRF5KL*g&XTbN-XYkA<~A@$#?f8-U-2 zKweIAKUc5(BF_Uy@VMn?TYj7`&Hu$mWWnivja=JkSZ8{?uU zkn69kKZ|d_CD41HOZ8I)>*4p`Xk6GG^xS@=iGE+cf9kH*+g)a#LtT9Orl9KzH0!_j zIJB9c2jO(~>6?MBIgs-&*DqChd0ueXTEl;4$3-_(9b?k7(5!M6Ok{mSyw zx231_6yMr@wm?SO0J;2S{=NC}mAwDrT;iwS5_GMBoX?|U_|@tJ%7XKzv=U&Y|~F6hCOU7=(ZCsy3m9CDEA|#^CY=l)Z_Qd5WX`o zAwRt%*RP=c=6bEif42Pdc(wl6(o=m??CJ6^9KBAz8}fTO%QxLL5$bA-@%>bG78>J*B7k(&g6+jP~YytGn=dB;JRB zuMPjr+Jb^#iHoa%e4HWMZ|_%p&y(&0zOM#Gv_E%*2LS60{fqtkeKh^+i*)+|x&Dy+ zif{XM4fwtp$n`Wu!gG5=OmAh>n^ndeLQf38DB*8_R`Bj-PE3NN79Y>Z#CV@{vfU&p5(gmec3 z&Hif$`*HKJ#@!Fpu;G4z=rvA^aeQflQyN($0)AJWYL4PBV%Zcibx&9{8 z=YJUJh68#3H4Wj4@BH})@I4a9?Tqw)MgM`2uw)C8TU4Lxpqoscf^8GB3fjrMJczTy3y|;cH)&K8S5X=DbdM3+n@1BDn zR5twogdTs60o{WI(o6mSZ09|rS|8-!Kl1sH-3Ge*fTsS3{+j&ioi%nF<2TnI|K1L| zJAm{(QQgY%-_wVN{QBJ%-v4*%3j{Bu{nh1nCn6dP5m7-`P~Kx&p!DPX8`M zbT^RezqJ3D|D*4WDwys+#jAfIq&oq~>$xodwq-w=+VeGI|BhM$!JT_>F%HPfPtJd0 z{U?vNf?xi&{PX%B^wS@YbngXn`=5w##n=AY=AXB}RsH-=M7|#Ya{0^lr>s1VveN3P z{xg$6cR!G)BlSPZ_z}Ua^`Fe6X^J!enq6Z8c z3Uyn2$IrI)m&;GvzuCy|b3g|2JVoz5Wcpubs^{{hZTh@k>iYA%mq3*BY@N19CvyHC zWY*~?5P^r<{@U^%js8W%`v%a|zkR5NatX8Qc8x^3(12JVf*wkoW&(`cpfO z{;SDMWBsH~{}s@^3gmV|+Hda{d7dfpW6M9+|Jci)(o_8C{M)7&B48r}7B3ggJ%TM?J z-$sIqS;DvppXZ4EYx(#?&;Kk$&_zJre#`wYFn;0bYx`+ie(~xLFIV0E*{09wwf-+b zzTX9Ms4M!tmOA;@=k^=(XGPb4d=Ck}59D%^{-fUd#a+hydA1-vzm94DGJX4RoByKKUu}O@fZx?X-u_AZ z-EP&oAFFTV_CM4@Ah`1(E>_V4hK+1|S2`NjT%Tj&0Iyp)r1K;Ooy?5PS^edXgy5 z^L*y)ga&hs@h6Sz9A_Qq)&sfxW&7{_BKyw>9(VmIocy%?v!&;HU0W0t|Iz(VH(L3h zdVYI1lo9uD+;`zMbpqnuaWi^1@0cK#|MtZl|5`@=oj;-+e7zIu9Kip$$}jHUcu#so z;R2%1&YR_5N&nnI?vE<=mUlyD8=K5uHOC~blzV{KR$0-t70kK>+s5dw+x=|2{=Zay z0nV2b5R)c`f2r`dq;Qlj@k{rbZ>9I?5q^=Be}x$$eCX-d^(Y?FhjOTAWtDs+A1b^~ zUzHctAF6j0-sC3(<)r1P&SfMy>gU84N78rFf8tlCv!K$SZ&muUyy)_N+M?=R(gi=) zF(A5l86|xpq;jKp=pOmaEDwM5a`5-p`SpeiBU6lWAvsZe0r+d{du|sp)Uacuey{Q! zDUb0N{M4(#j5M6vNqR|igv5V_xZOJ_HXVNHlwZQg@G9M)D5~=%-)MhIyMN5THAVWj zej4H5`l*e7D}5(TPy)gK6yfb}T=G}<7xp~TzqJnD^L}KaSkkt0x612}@$)5}8w5p1 z{joFgfbP|;^bfpeK&$ghAK>##pQAQNJ)fTl`u?T#UImMO zz9jF*<+-!R{#N~_iSvy9Z5@H+BF>lO{LAmt_&&_#qSt5I_Ahz4Qavo}{3`V~?CD9) zD&IBy{M+)+9xt`Gh0VV%e_Q#-D?iS^uK#Bt-? zpYfKz*8j@jyEc%^iTK}S?2oD2uPo4=2jp^+?Z=l()~|VNov}XE6$tK}i;F722>th- z7vJw=Rl)c9KrTO-|JvPis?GbzINwjs`{8F>{?Y1RHsYxTH1#jkFg!o_fw4cbULSk` z=xPEvv=t$51E0lF=hv!%;6flTKiPhj3ZIYtlCi$Ho}hH9rW!Wtu@Z4)Al1? z`4x^n_WH-mr55t#I2R$`IY4eFDgXcd>${@qZ{g&x?N?pMtsRidInUivWrJwG?O$$d zy!Rlazfaf0^Cm#v&ddE>+I0GP(d|DN{dYY-Tpx6efxP{Z>wBZD&meg;0Nuqv-cKYw zkMs{gaHko`1*ZzbP_8`oZNd&zJDd$2x3` zpR|8fGtf5&^75DKL%n&hFOB|t6+eArV%p*MQ`Y}tzCN)9^4${1PaQxabJv`Pbjqc=?lEEbRD4w;#6p$L*iizfR!08<2-f6v6QF z%x8}9{pp>{1%f-5;i4-rnO=CP%b!25;g26WBYYPiPha*w<>@Nn_0e3eSpvZessGx3 z+RBgD%h>BbuRq%UUyh9Q0h;zx{QlYHJBNN_oDbaD&wqE&T?yoJhWtnTX!L*e`s5y< z>jmWYPx>dr{_}o`_Ak2vbUlGQoU~u?k0{#mi(UVD`DF^QTS)!U>0gD2dIP!sl7Gd1 zWB#N~|ztQyXYVbWI3je_um#sLx>H$7~A^nRG-06#pe)NE$T%Z5%wS$-U_|h0Z z>i(xK|6HzG{{4~OK%l9A`&utP{z%)s#`sZ>->w1O03g?YvR}uH{n=ul|KRpNcKgHg zuj#J^--Cd>oaOo~oX^Ycf<7PoI?!DYWFTZYrzSl;^1=m%{jKKPZ`<R?4YlV^TnD71b2qvVmOe?IT7K^{#U&H z50YzP`!AY)1o$2WWFY5H_j&U_TaEhL5czVPks!DU$m=iVbCXejGkyBP>0cmb`ULQ& zK)3&+@%&cy9yj6rMZDiyWBw@z&mHGx6~MU#$Uyq{sD%j|in#sJ$mRNVoo~Nx2i;^K@BfGQH^}KXXXRIJ2fSC%N6_sZ zxOf1_^C{bppE`EgRcp6<77=*Z#!vrFJimv%$4#h~5P9PUzIORGm%gufZ=`<#1s_X6 zfqeWf{R5v2|Nb9$*8v|@vGuQU2}?*I2@z0HLIjM63P@MDBSk?4X(}ivh#d8Wcm0?4BlY@ce}5--#^K^ddQcYQ_9K40{IX@%`dn`R$0Pg= zK*=ZXZzScy>-$~HPu8n+`_JjxZ?<1IBj2|q$v>?>ko#Pjvd2f0zAQ9)I5ry8D2#og_Kg=limM|2?3)7bw$-DDybc z{*#f5>`WFKqu@`M2#KrSD2F<Hb0_XIK6+ z5I;cCtt&mHXXsM5KhmzJ-hYwuZy56b3^MX8P}Vaof1K|j%cWjO|4-+C2Kas+C_wwS zHwzZ5+y3pG|MKzA?avEH@I|1Mldk`N$@#>ow;xh}ng5r;_e`MFQ@#E%-u+tgzC7Q= z~M`tyOZ|4;SQu0N@_zf!KOf9dM)Lh$`IP}U#aeqjBE z%zx_bm$YB0=U?*0_VXR^{Vq`2uXz66zYyOwZe=+Em041Ng|BLmv@;R4(y7Dg{ zJ?FoC^r_2V)}KNJae2#du@WfDN!P!}HlBFGH&d+df9*s1<)B*u6cFEE{Qt@NuWXSq zp8rekU%bl6zc`3CmZhGrr9ES3S5ea*kNqyt-mfk zvI@>$rF1A3`|FS0hvvqqK|HW!S4!HNoo=|#xPyX1(?~?qQGgLepeLA2D z!1Lh0T^;xIyoPm8@h7GmWWO%a{qCE1x%`b^IlYglVB6!jseI@;e2fB)9VlbOy%RLdCju*ALX0!$8>ZK@B24Cy#B_A z={X^VPn1)mcs03`^oiDS5x=Fr@du@NszA>4o}OpHk2eSJ={cnvHGZCXx$2%P_Zl+m zi5&HLj|;U6XqI~Gm%0z#J{R%}&#lcvJggr^Zc#=4?>|m!^ZI8!66I_BYO7oPFdr0; z(KC8ZSfH+JKYeWb={415!H=JhiTs@R!BM$tl9ulJ8*`K?pBkvYlyB+>lAMX2?%KfpI%jgG5B9-ohE>^6ntdehAGac!L!2)H@ss3~ORZ;%PuixBr-+#;>IY;{=Z%pt<-ss|wJlqJ(I`1c2 zO@B)N#{KO7iuVQ*{gGSYeTE39_q)G(%7Pu$zwyVFeI7eU(Jl4Aa`7NSF9O`@mv$Lb z`c17Je*3b|W5+AHrSP&JjkkI|#*Sb;#wu$(**2uFf}oi|$^TBjS712TSl^>lA5SD3 z4^cmr#(~wrhXL)+i2gju$vh{0Pk%h>+8>v4p?c?eS>RXljfW*&)$-5Q{ywAIENeYy zi*P=`HGPtkiMg>t3SKrYY66KLbF1f5{^WZA%@fq12nBXmXJfxM(lhhgz5EL+$e&co zpX_n^<)4TA76Yk1nA?ad{A1zq9q-vHzejp}-f%wX>I0>oYJd3KZ=P`M?H^kE0d!Re z?$yG@zCbBweO~nXQ!hPk-?i5Fh<2g=6o9S{P}Z}EYTI?l+YLu9x5jfkp4kI*wSf{2 zRVC10vJd8ck)m*}`YZVg`>D>~Lu9!WhUwEfn?1phtcN>&b6&Q6-bd4r-j)Ak`nMO- z-3KV^U$$EQ`TGrq4}Hg4kHO!QX`N9$(32fBx7r^J@|XEfeLaTME0&*Y{?jc#N$)9S z*SY+Y(HA13MnGBq`6_pQ(HUBXR{df7+W>S8fifNR|MY$uWG789UXNb{y8VFCPV4pL z_#P=-z|Ys&e`gQ4~Ar( zdhX{|`+aC=f17~rK%lI@y8R8>&(Ey&D8&lFoy$+^CEL%Yh^YB4)6Z7JS9Gm2Xyj(g zACUF$AkZBQl;xMLN|JmJCVpJ?SLzS<9}Ypf&44nT9v3C?M@%*SboHOoGiT}#ww^1xzG~V3 z){4TFkAJowoe@zNpwwU9&qCUjRuz`MEB}(OmSOrwg72e%vi?R8Zj<#rkH^oh>C5tG z`E^6O-GNfiv_EVGjX#s6Uq1d>e~$s*!am}e7oN+z-1;70tSE?U`cf|3{-#Uc6O0T3 z%5<_->D%=l-+1D7pZY05urlYR9S6FTfU=&#ewMD0_S@tAfO>)Mc%UpNy`H_})$jIx z&Dt;9Yag~By+PLpDD_;YAMAHK-5NjedO%nCWg~tA%@y7D#YI1$9Ovozhf3c6IRShR z0Lt=jm2%SN>(Wvi&{z!1vieyZ@_?J`_XgM>>M}eZ1(f=q|NnIUo8^Bc@;w?T<)r(c*pEfZwMZejv;9d{{;v8X+vUPA z{V`zVYM`uVy8TIV-Zb&!n!c=;UYNcsJ*8*ZWcgnMzUKgCKK1WPVD|G`tcf0)lUuHk2>p*Zj zQ0j>u|6D#aQtRIz`t*G)2o^g+A-H!vF2>P=vZ(#pV@+$6u6S{cWq)}5Qa<@}`He?< zw*l?`iFhm*v_p%)cwWlt1gw1jy|!piF0{UlQ1#53KKZ zEyDEg0NtIy44?sB|10_Y(M0fjFEBy>7S-r`@5bj6>JMe}Zd}|0l=jQ3^!D3Te`LP6 z{@ss!PXgNVi}l#@d5vGU`wj3ufY_0WZXdwK!$8~qmbCJl_R0Ln8ov}N1os}q#X~@; zzuJENKbilKa^d-lN09HAfO7n;{jpX(^UIJsK9TL0$Ns>RLH7huma|@e7kq!+Z0)Dp zRw20eC@!V|rJafD_9MQ4?xTeHE24MRKN&B#A5#(0V?f#e(ETUf`;VWuEuR;t^wMYh z`8Xn)29)|A_a~2UNc*lee;*C|FRuBQc9qk2rB5cm>EQcCpiC!UO^zQoIdO&6f8q5X zPl9d+P=M;Hg8SG!%YO3ukEcNJFJKnXfbPFzKQ`H}^L`Yr`IqHVq$ruEaq$e$wjbtk z;(icB@0z}pKbPOLi0C<>G%20^;W#C$WDN&NY2m zf7t%J(o6lTxblA;87ZL*l|}viyX5DGu0F5Xdb$3!q>rLtZ{Xrhpv))tpQZe{{ddj3 zj5qcC%XtZ&|C6X*4T_*j}Rd0ph&hsxaea`KiLm#0q7P2W&caB-@y7WS$;(d!JYG8vE|40*HwRH z{o(R|2N_ull>Jm~e})eF;KQF6njq znPc|TmgUkyA-MN0F5aUD0$cy({YO{%OZ|^3VsjZTmIGxto&OrU-p`ikUDKEPm%9Cx z{eoge>954aDxfSUZU2JbU$_2cHPT%Jlzi&?`f72PKHN8jk~k6x0ct_prt)V?E* z`XKKzI$!ulAL$^yQs4L$?}qzO4)8DLbFqy-?hn54hyD)!w-jGk|KJCnq57_!*y@ZP zyQ$!Fb-^G0qE5A6m~j2?zVVZ#a^&;^ci)D;fWK0IYTONT%5Q%B^r}e(P}YAEAZo{jR##ks+WsD*f_JaTbfGnKOk|5~~yIZ}Kq zKj{xl&kNLyDktl|T%03Z74o3`7pT1#4=aA|(Fpu~J?K+1{mu>j$|>Ilsl2E?;{1HQ z@QtIkM)H(C%vqo4T+^JB-I&g4&%?Rq%rC`zTyTJT4akSirLKwl#QYPTLEblj_DhiO zqiW9V`0vmCmR}iMUH{d9T*&{L%AfeAa-nme={)Hy_?2@wW8d+QApTrM^i>mXgZr^at zET(_+o8R8}=C^$4bzbOyZ}_2jiM~Ju+a(@V3;PJyV6e!3@p zB6@mW0RMifmxLTY@mW#+>@8OAbLcjIWz2C>BKCRaXf(<@PA-G5V_X0eidvmML$GiWKeVg|CH0k+F zlwM8HXHdieM%3^z)pwiPZ;L!1TYt}{{w3u%8+5WixYOUUZO!)YZ&)MOBYJHVB}4sZ z*$>5AeZIzow|*=hc>7B0doIsMRo!K}c&PcDf$_BDD|LTP%BP8$=M!k2ISWb3d{oqW z;>tUpOa0^;$Uo_Yxz+xdSPvlOlKOl+$=Sr)SRpy*`4FksWaqu`T<$zXDEW-4QSc`u zJvG6KQ%+yjOV*!!q+1Ip^O>7uJv!5uZ#=~Lccqu|qxQk`_5k1e0;T-)`4Ej7zW4iw zA6fegcMI)DZP3-(W&ZVgygOEnerD2p@_Sg7`m5WYU_S0kYd;8X|BFF)08rXr>Zk9p)&rz| zzM0HF>yK;s$@-JJ{AInM{=4TjMZO0BC7*gfjl5}9{}}$6-vRFfh@BYP?}PBXJy50- zQPIIaHM#NIt^Ofp>C1f2IT+8|0PXUdv3-2k#U)!3){~JuDBc#Jm+cSgf62y#^#sID zGh8$W%68sU=5gZpd`jQ7{G?neuKW)L-z|Z}m${9E>*-|sQ>+lYoc$-}zZD{C4V2{< zNxGj6@#!i*X;%wV=AY6tY;yf+3%=U{WjN~RRNnsgVc@$XP(ZAO>J|Jp`9)=4#JVfG zJscNQzis_53D!e>ZLLRQ`{7!CQm$05+}n?2^@k>&J0TxZ|8)Ox&?)D4ynVe-{R9*2 zD23o5BS+wYY=214D{uX$cJWB?FWWD@p0Rg9*WLwdeCnT?U|ki0dtGqR6)4MzzemgZ zSELZ!*?!1)L$N#4%l-?0k3I^F^aILt^m_b%SHE@o#jEB1@MZiVyMeAZWk_HyOlbvP+(K3?k|Ul=WACPY?Dp ze#=^q$K#J*-{>%KcYY{-sQ{1eAKB$1le>Yw~2RO_u#=rw}~BpPilusMpicerVEu^L|vW z{m2a>7~#1YbYW*9hgB82dL$@ZtCz3S+82-U$(!l zu)D?-sV$3JqV`yD+Kq3;ex&oNj~*@{BdU=tz8PO_Mgu;KM(X5 z0%bi%`Ncj>I(|MMbQb`nou>YC<+Z=V!S}^LX+N|-O#FD1y|yH^KO;bQ5ikpAfZK1W z7ln#~m9PGJDbvex;rcrgj9dnk^;i3o!yiZL1@9+w3Ft__rT%gKm+7Zo|7E=(y>jpW zNWQrKy2@YDr!Id<&*@(Q`P~7Oa;Ek8o8$XyApJ_00qPjSEW}soqYZHP1g6@ zBSZSpAh;Sx@tRxh&-ML0y`k$G>wL#f3cz}MwJbt(VjNA;A<)`(xbNqbbm#y}XzyI9`x|@Kq z{B-{_bJ}-3+dg4^e`=)={BJ8i$ydt?OaE46beNkpViM#N8V%hiMbqi%K z6X!1}Ncr-gy8V#y=ltITMji%AJEQII_h0+DV^{mNh~WVJu>HCh&mRCv`=k4B@JE$; zL2~iD`#^X9F6njp7n<{hW&f@6jGrF_-wy%h{EOaC0Q;#){!{;cEX#%KpR4{PEB{I0 z`%$2Tw#s`jYsI)_%dGa3=N}&d!DLBj?qb@`;e5+X@t)_8UHO;wH+B7&^5_2d6!0}w z@Q0g{&dLkcAI-JCzi|KCm47M!bnPGK|8cPT0#K%->(Bd7|2pveZPtD|0~CUL({S-G zpwwUe{i4o&ix1oUr8R!#_VWqQJq48M>+x5T^BfS|n~sYofwKMA{crfA%6Qp+xynCX z{gL#ZBK}>|m-UzR?`cHz3`JNL^?pc`5d}*({bv!;^AurO)bp1!g7iPJ z)?YCH&msH_ptSR3rz-FG!&QD#|0rLc_agE=6DajWk3a5w{;~}hZSoJs`v6M%D!P3M z7cT>)p6L1${JyvB52x?SzvPSU$16zpRiFUXGyMJ|^Pg`0OTGRi<9`+yo&%Knr~Uaa zn7Z4XDl7d1%Vw;MKlf{RJ{u_QkEiJSyUc&O_PgTb_d57qyi5MI{){>M>6*7L@DITI z0Ajrr-M)c~cYsp=@|9QL?8j0-1Oavo`+slZ`9h%G|BJP6{OH)yWtKl9?*~}|y177^ zz8?PtzeQI6Bi;3v-2ZqB>COYnaoS(MAI*HEy8xI8G@$37EBSs5Z-d`Of^Xc!$4~hF zBJpnlh*jLvqErhIWATJ?fxf?A7s7c?~ktfBl%+eTZwd6 z?J|9RK6{e&57ZvHrZ3x%)b*FrGi-AE?V7&StF{W+^^*HjuW|RMo>5)>d)o~Ko&Q}$ zT`}p?%O`!h8_s+F&DVzofAqt&pZzm~-ygp5Bc$`2ZNF=*7uDwn8UCX1oBa;=^qlB+ zLq5oVj{L1jzNLPTiq@l(G-pC|qC`_sQUFRJ3+ikA+~l;>H;h`%2a z ze>Qv+KyH*@LJCj!EYHCmCk*O;ORkzWWcGkbU1}&g58T989r@Ayu;52@blx=aNqWcm zHu9qKNuIumx70WO-!)Zc+&z0n4*Xz=Ufc2DNAmF04ddg#n$TxDKi$qB&X4Y%1$ufP zMg7ZF@zc@gHKXU8Ka(DvhfV3`;{5F05g$GG;MY#^B&HW_a9wVvXdd(}H#`U2q(gL3 z>>H3MuekUAY5V8HuGO;gL;l?q4`G4>6^NPwmiF@$yME)z;vAV%yJ~!&ANuQa&i3 zq_?CGHeFQxl-=d={jQ|wm%@%OS8cu`uKD>^eW&yaP=9LSeZKnmhqwVC`H&n6 zEdOWQkDU3`n^x$ZEBIc@zrd95ixe;AgY{y{oN?dnwYZj54h5E7wc{^P73Cj2tme@egS%QD`G8g~okw(zgd1d;%)wn+9{OtdP_XZOEqiKD9h6oo??|we$yTK); z^1N^FTt&fXJXaeJWItN(R~+ANbK;kNNDzeUAKpelR|_cnLHfLrzp*ChWd3*h6N2>_YpnHwZNu>~%_r0VJ;?*N z%HSgF`y}tTN&M!3fcP=DdVCl(T=T8*G4B^n{pM`Y6F=sb&I^9iTA$ZcA^3kk?_00q zUWD&^GGA0*|E~2R_V|eEzkB+mCnn!TVg6nF*HSOTernp^mvd1Nc|ZXr-NEM^YkoG} z^A>r0`*-DE>SaUZ%kya7X%A$a^x53%^$pNJSuc2h0$2XY&X{<4e%qB^+6C6XI^eq* zFbilPTg}}3y*@GS3%`+gespL*>f(8QV095r?@tl$Ukux3?bp{uQLsI6Q4dJ=#N2B8 z_2Z+@cWk-VvOiq^_X6GCKmq#u-eA}tS%3cS`tNzN{8;|`fZ=_CQh%aq@MG}}DwbLP zz3iXrTK?(UzhwGT2)-Kt1?c&;`{Ktn)!uB)ue4Vb&XxaU_NxdH9Yhfd?5bkdpR{Vu z7TZ6kU8ukNA$&ui)PLRnqyAF+W`ea;2<~h@rTn@6QoU+|2&J5N`jhc}Uh>8I-xzfJ z17$e9KS2epuabPR{uU$M1AtP`^ONjP5e?<iS#>9z&R zbZC9?eCzveL7Mfq;`FCI_#U=P`RVUt@z0BEw)scmy@7!t|A*nZ67O-N{iD^b`JY@h z;A5Z0m%$r#LKysT1jR(BC-qO)zu>&YO;-EO{nrkl?+BF8ES%p@ra!LwC(EDeh5PtJ z(sTWFO<(FYm;VvSaDSi-r{%YC#T#F|^np+IAqW=Z_3fQN*B5B(Z%NVkFOGX@y>(tp z_ptmsgRUn~=2M>+hW%Og!utU9zB?4I3!Zl^`<|}j>&y1+II(xXRaXC}gQ6hilONk3 z((4|GP}R%fGkfqua)>e3Uo&U>AAVp^uhO~#R>BV2<~;mMR%ZVfAso1-jlqSx)r5Y>s9B3KfDo%a77CbgA1PnXlCKCz<^EAtT2FWjNjbV11^P zU+U{aB>zPU$$2N>;zXdVf7*T~`94hauKJU%{H0txMd=T~#Xz8}XL|f~<80OAl#eX? z$tkCeO2)PPrTn=48H|XA0;Qg6`+45n+UL!+=Wh;H2<{ER#c4ok z=d}H(_0?QX|TRwvo-(2^A}fwZZuHVbG<)D zCGS7E>YvP)r;uImYFxyCvix-WwbtwpBK4x7Lh!$>{z$-2a>kx@kZG@%j5P#y>>n z3-w9|ehdVU17-SJ{=u)J&%5LNyOy7nUle?~fB%u~68FESn+$qS0%bVef5Q1HQZ7X) zr!V zc%KK#^4INWlJhMP+`0cL?P`%C`WJBVB2et`?=O5oR0`e9C~0AgJf-Im~DE>P;Z{{GbWv=On}zqa&8 z_bc&p&A*J7>(5(=XC6?>3FWWPcaeJ4Od+_l{gL&*D5Rf{h~5UuaC-dxC;RIx0Np~M zoM(wB^Eh#TCX$D%{G?n`Z~rMh!w<_p-Spo8w;##!pWHupnUjBR z;0Jh9mI{uaJ*|p47xQyZ89&Tl{C$JpPw)?;^85k*fZzMZKlVHL@BZW)`H_B7c)Ir} z-@x6hd#V@YZ@7EH`{0<>o)P$yWrTjj$<8?bAN!XKYSwe=$7JC-*&C)a$x%4+AFYA#^c;SPt*fb@Ut9P3 z*Oycc&+#?qspeVXY5pjxGCv(Uyklln_0x~>AN$>&d)>B4NA{@uK!a`3dS_?_AX)_|;I` zT1{Nn>y+x@`PGyU<3C@+@^hqe=6KC{xg5XYCyMiWllx_wa2${E(5V`in;W`}@qzTm3df5XaaF;e08LZ}-4^ z$$v!6KcM}cORnDJ?^~AMSev$6) zW4@zS+4RethfMwZY`m{tHk_BQdL2}2*5u)DSnF*&gy~a1j_By#M5E7h?s)feU*7h- zwcg|~Maj_kJ_`>h9-^oD5|Wd7-cTX9<9Nv)Z&ST=?{7-I;Q4~`^>>@6$iL^wawR+J z&cBo&^IsE!%q4-AMLpkK(mB4L^crit+BjwYWxZhj^N?OXQ07ygM}_qcq~|7BkwS3C z^0(zj_TBTSUKAigsejadRNnPouKFkSm-W96@=f-M>Z5tAzn9=Vb1~nd_v4~+stfwP zfdW+5a6d${Pv(8Ake=e*3xpJ}xz+7D&hwId@qW6l`ImO7SRuKz^`{;p+J_<(*iD(+ zie4|r_1883$?9Ky@Y@(D<)qt>tK#3A-m%u}9vYTkA?Wr4k{vgU#E#d|*X*}ZIe~|ja z`qvEUHV5vy{jBKk%~6Hq(ysr9BBItnX}|P&SiyeW?_2BTdA(Rm(6u6l%3`ct=x-y- zHTC__|ElsUU;StKw?%$C18w^~e08Vi>)-aJJP)kQdf#@SI~+*k5!@=T!(LOfx_@i! zw{fV#d#^n%4g*R%&HE+DdYP{NbNM!?SjsX9ifU^Ch?^Ts|y=52heGE|QuWtWN>2dJN>7V&z z--BQ!{S<vOpwx5i?-uFwbjfYoto_t`hyCXspzF6w`Dy)` z-L~1lrQ76r&|YVS;0fmuOFs4Y?wQS=Z1BJ*miu)bG(ih zS>urZ^2uM@HT?Pj`vPVAL*bTM>vdUwUDKEOuekQ(c49o zcBS9%r+oUy_3sqq_tahHKUXREd&_YF)4QfG?F!pJS9+%)&z6f*|17$kd$~;co?-RkxnSU;S zSN)TGvHrW#C)2-6k&(+NLuFBa=cDy%GJUpR>89^WFY7Ps&*k9vEubuCz25Gn=0p1I z@ug3C5(JB#5%!<20NuSn+y1Jxdcot29X|EbO|XFq!M!VSaVJp9DO=@cw7KVqC%4P} zn#$~#JQ{R2QiNqO)>aknIqJ1m{s(@&vd_IvA^%t5`8c4o-@5)E_1LZFeYMQ;SKlK;-{NKRBT9}&Mg})w7%bR|Nm+PjREESf%ccIIU5dW2Tz3)xn_tqr*H(P$r z?hm)#WPN|){T^-x-7P@b|KRpRw#%uHAEjNZIQxGa_`U-u`ycsgLc{n9#Ff_k4WFla zJLo0=rTx?2e=&ZLcJ+UK{+jF0UC8%6Kv_;y{!1 zvR+5Qm;3i0Nze0#_aP$>0;T@w`S&gL2i~`OlbrwZdWY%X54s0{vi;HW5B6L6*xK)t z_1D#YO8zTu{QD62ei$h2haP{;xajyxqaXUkcppHlr=r{P@z3&~gos|I2+N{A54B|T z@>bjK+UPeH&yNlJACKVqvp`vXy8rRaFGKEVvB{@(9wr#~UnYa@8K7(@^?otWtUvYA z<36(dU3tIjM?v=(P}&*Y{(O}?^ZD!zR{y27LU3;iE~e6hvZ(hunbQMT&w=!^IQyKp>41D{uefN$~p= zP_|!s{YR4ai?Uh1@?-n|FGTb-P}+YzeooTZsHcpfOrkL*0Kp++C)x?f0uaKdZlSp0)m$ z*N@Et-5j88|IGZ)9Bclpg+g%eHC)UF%Kn4a-{6Gsc$t6K{7e03`{PP4?NUQkQT)$CM2mnjpW6P9 zTU?{>y<4pFX1M=0A9M?Vvi}#sc~4(k{nym(x8#fEzYyuZ4V3y%a<07VuigRQ?*e80 z*Wb^7IpgGR16KG&cppIQ7)7^>aj^s_KC|=KV`hB%U|}Ns9t#9D)7A)DD_W&f4*Vb{7<}PR{PUjA-K017i)mB{_Ff#^8Mo0 zf$t4KX=k;Zu-~GT3)|oIpnD%E+plQS?+;X-uJuRO3)VkZdP>i*nY#YSej)e2lKY!) zboV#EB1Txru*I_5b=D?XjH&zwZdb+41CA&kG>` z-+klfoJ8zsy3(0>?$J3l68z)?wzc1_$zPsz{wncN0RQ+J;Dhp)tDac;T!*bM zWWi6E!sC4``MJ83Ztd1p^Pibf4gR}T)vA^8UzU|$N{{4TJ%Nu7%f3H++4m&B-7SCh zQvaf0e7qa@tYXnqydLz0^nsp7Ava2w^I3m%>D;RIvvFQD@tLS6VrI-+x$)r{F1A|zrLzEt?sxXb;ngx zqk>;@zkOK`D8D3kx+l4jz7QW=FAaZ`Pokr6_BrqrAB98xiBY|%m5^V`|KY*UKChbM zDNs*Oeebt|dnw%l_3(m`wO0*bKk+{L7{)KOAHVVAt{M8%r2{o;w9!E?Ah9%eNBQt`x+O2_K`*q3Fk-0&p)0z?FavJyf={O&)x&?GekJO9xSWD zy{#L6EB)C^&JO4Esh_(S=w!cTr(gHu6KAwL=~KUN*?0>FE4rorTTMKW>Fe{4AK20U zty4bqDgGdsK7WenDLvU=#M>CnJ0+gqO!S$!pm{_Y&rU!0FIkU3b};?%2=)JKARn^d zsr@;&nC}rXU+mAC1-cwd4(3+xgAhM|{I(aZ?*YXM!95!PWz&PQsMj5mKRxM*c}?}V zy!m&RUttB6AL*&#pZnwKjt6ofuRVcO9_ChmPycPywBj$(Vg!L~EbhUx9{_uKg z(hn1?Wk{b7x>`U9t8^j0KB~a3R|gmLy;AZS3D*-!`qbAm$Z~bpf8tZxh1Bye)93u}jRX#+gvz3} zzr_tcZ#Y`}gR~RRPf&DA>(uta1F8So{*3RsxMbBfpY+=V>!c7o?fK+=5z+oYvZv-& z?}t+RhtjH9o2>n(k5CBi)yG9+AhjdrHd{@IwAy1z&d1jGEVjRepxX~9^RM*>=Lg7m zixh%;4RBEel;squ^!^A9!FMB|tUr4H+9cmYNuSGC|I=-MsDJEkKZswGO|E~%$oBz2 zX=io$-??h^Gn3x4zGv}zZrA)v{b{I>oYw>w2Lh%1b^2&O<@4f@-Zg!xm(h^EDbhU% zDC?hI4-)u8&$9ffib8tV^rie$FF$F&3&Zpe0pFc~Qck-6{Q7l2hsShHfw(V*cDd)w~IpXwC!IDMAQLj+aEf=l=>$o81Kh&DCpV)C3IEZVT~Uh zTe{5hC*%H0OAv_mfg*{~cZWsRdP>&6RtVdcXv(5qk2D$QZ^`}#?|v;O{F`X}p;rzo4Q>8DFC^_u%%hk=p9fl`09Kiu%4drr)nXVqW!CvxRq%D+e< zxpL}1%daCMIsz!|uMXEOXT`++Ph0x|G!N6qgn1aDw6hU}tGw$`T;(t8#ld0zJ40^W zfOh#eyS&+^TZV16{E4{#(*<;0fifMMXJ2l8Pb^djUe5Ao`+p=NI*KAJi?MFu`N#J7 zkMij%KdHZU6(!?JPw5#t=D#~4IvObTPp@ag`B#$vitGOzgLIDt%JR!r=5gg+57HBS z4+F|_(*Bgi?T$F?+Rx?r1B(6Wj|1H)Kq=>JRk~rpS5=#D_Z#AU0I{RP@pmsgKN%>~ z*Zuc`hev(?>q_a5ALI3~y+PLpDAU*TXK4Rup1}lbrx4t^{$vnAfZYDkyk0-NmwKx8 z@0m&aWVEsUfm$nyE?xaU9uf5i%KoEHzsrV2YyX&Q^`B{8(EF3~qsgpSUi&=&`929K z+b_MI>zE!74yrfP>Ob*%I9K^gxpMpGN-yUV9=cblyau?ySG~N2MrOgmvDZxlpnXB(k?Ln zuKAbsn%keD;QMr-45#y-r2kCeT+^3wW&Lrbr}PY)%)cwWlpnX>XCdF`0yBXI^m?dZ z{=(jmgy;XxM)-4pcKt20S0 z|2+P<0CX1uCA1IEAD8Vim!GTt$o!{U|5Dd~nLhXbE<%Pc2FiTu_5=R>@;Q&6|C#)A z{k;TyzXp`$tofgK?XSx(t%`Q@8V*{$j)azC$FKZW4l<+vCJ zly)j#<<=~zdDWMnSo7B^O#cedT?v%!te$_0AHO>F18Y5EONHRh{YPnkS${_(qOm|Z ze$eZ2gZ;?XS^bw5A^%r_E(VnLGh1~F*0XQ2{3&?;Vhrf621@x8pOv@&cMbTy7AWnX zrzY=mKMt<{uJu=zAJ;!udTBq{{#^&YuLlay^LJjC_i{%ro^2GHFKl=>G@lb?$JHdy_?Vuj$|jkvgp9+bs!{lg|}{*C3IuKaFB zdba?j{za1Z|A@_W(|4tpa;19hdAEU)+kvwDH2=ZRUQf>c*skeI{pbFpE4|cT=D&RO zTz~IGzV8MK(B~&l?*4A%#k>vvK4o9T=f&{53pf!d?Qc|>$CY(6vN{}(V}{F|Hk(1?Rxu==k} z6oQB6PCtbQGXL8C1iy;*$4kBZrTnN}a9=+m?MD&v<$2GT40_K3Wj&3A`#DPar`!Kc zoqw5sFXVp)_Xh2UwAUtR5o)JyLF%>*N}fHI$2PxgsV0M51g@5TQx{|&?R zXM^v>Kq=>ZHFPO9xc=_3`GGoX(q6xojra}l_s93}d^u2- zlO8_>^C$0H`;oL&2<|P##WJAGC$%5Tt^E|JT;2OGGTwCS57Vyz->ZSrPU!mIZSxfc z&n~mZkKBH)1l=m2w13)uV*Qrvzw`GK*ZL#lEmBC%x&4*)gY)m2zSIj&Ke<2k8Yh41 zz#p_xbrtuL+0r&sy*c@i9o2u$P)lANt^a=WO+J6X`Q5+bp7<~IPYVwI{to`Xwtsag zp8p8Cu-~o51?O~n%A7m=hj08jDLpy|+ddDR{9-ed;VW#1!u!we>Zt#!sNl0>z1{J= zKpi%HZ2ReBGn6_1`*+`*+f4qQRYH0bFFj9o-f*d3CpaLO>5Ly`Mi>vpZ{lMK|C1={^NFh_Wdo|yK&0RnV{!%Zx|o{RmF3PpWjnF z=A7>83H0(@ZlWVQLRbL08Ww%7TClA6+e44eR{Phz@Qg<~XQ`V;ug#gZs4B{z`1RD0 zfnbSGPwlvT(x;bCqI?y*KXOD3_0~o44Gpr@RoP45-ZVN}z3@)_ zfa+?<56Ox0kqLiVss}WmMtqj~rv9<~jeMe(A35 z1?s-Or59zLLhq}gTsYjhCr-Jv(YZC%ss}&%VOpCUHD`AGM|xTl;fW8XGyd)rAH65O zIh^5xlI^M0p4Gy2XC>p%P0FC>CE#=0uHC4RH;fcP=Dn*YAPzWq~VuH~P>>jN`ER~1P7 z5Pht>Ssz~m?+x&ItFHYs%AcWcswg@dPtd#;@q_o3-oMQ?|H;M&H14T`49oJ@`(+3H zPJ6$uwxRyzfUW>2%YUaoJUDQ2y|q4(*H=)v)&f11hq>M9PY=dd_IV+^KC>q1@__GuZTjg#!hYEZ?$yJ^en6@JdVTQi@dML8w(2kY_tSU#BGAin&R2g{fAIE zK5wiL+*yAmU#x$Hh^PTjhST47ldNx|@^CFbS^lZ(FQsSLOuhalqi=|OHv$TXbyVg) z@w`C_=bC?6|5$&^M^F7+&)Xl2v9zI}}L$5Ob^j3v0%| zkFNA(`_eva{|*3M6QBV7eW~QF`M=$<>Rqe<(^^ru^5viH*MW$r8Bp3^-JicQuE1|4 zt-nn{cMwq4e{KJQ^9tUy{1dtVyK->mS#jmf*V;Q1+7|$~>;T{&j7@cY9zK(17-j z|NQ+1!-u|O?Jvah%WV<99ZCP90i;}t6oRL%Kd$9R<1CYIVVdc){Wu&Mp^0N@ zKehf|`^nq)&HmaC6AZ%h_^|`%I|3zi2>ai*{!@K&&A%*{blXqPzXHRT1Erj`{ki8jN1bMJZYOM88O-;ll&2#x{Dd}{x~tUa3ao4&~> z`yK=<^L@KB=(+)={nqDg>#s9MZT{R^-_tNmzYFM&0?KmI{l8!$YmK!&fY-Nm1>KQA zX=izTxQv(Wk8AmpzL;cE@Bc`-rmH`kes|>iXrSa%x4*&9UZ0n4`mDd@lONL`3%)M_ z%5u{FW!rDAT7Av?zUbe?jtljt2k1@#O8twd!4vN~;mQ$fed;HfV8UTi;iC{@^&!odA^eH~IQjDyLqc>kAYRYZva1B=wr-4|;>34^Xy0dVPJ8 z{Xr-l*YcD4%jM@vFUvKmDE)r8I36hNfAaR9zidh&6Aj5M=AvO2IFEV(6%46Kb9O9a{qA%=uQL5d{X`S-=9BB zrvGOk-)91){^=sa%JxUk-+ceIpF4KGPxH$r7PTqFr` zr{!14+kaR2OT9|H{gHN|P?5M?)0cLY_2)7~Gzuv7RM&s(Zy?i8ef~w}-%FW)NzeWN zE5P?PK-tgK`zr_MHGN^tfAM+0SAs6KOM0#UIPXoiU)+Bk4Z5p=l26nhZ;my7EK~^Y zU4@G=K-vD1o>X4@>8gL}>Q6HLbxmKE3+wM#$bCLg+DW~>vi`Dy>-YJ>Cp&L~@%{wY zf$m|T%%@(z@Yri-b~t>8-xcozC>f~e_Ih002DI((j3Ym}YR{K9`TG(<9An)T-HyY> ztw6i}mX6$S(l3+OSmQrlKQJD2HvlF7`n*y2cje%{ffkBx%O`)*YcKSVz6B9V{nz9F zV157VR{O*C_a@NY43v7J=YMcso{YDtLh!$B{!xBc`1{*`DHpc?w?hyUfwKHzze-kF z{uwHi-vrRz1r(r;P+o8#%reXV@%n>1KyW8e_CNLalXX+|4i~Rl`wKKwl#Z+ZCCk4n zy_8E)n(2EX{oTmO13+2-wf^fwI`Ad41pKJP3E{zqk>ph5zhk&x4dZB-wEEjG+T+^5QbNzFrm-6TN z-$~&6RiNZk>rec5!B&6&;DY}33g;gm!J{casVCb0fAZXecg@>wegEyOD5lA{coZn* ztn~!`fywxH&A*giy86fZGZlQ#07^ddm1Fctk+*>jbGV*xazOeE7refknXcU+0N+mKC{hv)3RO_DFiQP z|Ao_cqT;Cn7m))QU-us?=u7gAq;B<%vXUvDAZc|ciz^!z#IuO$Dh zzpnY0`AS`Wl3wd2ehYx_0;Qhl{q?He-(pGEk7WN%?{AIZ-a=fw4V3+l2*Pc*#!rQK z?!Nw4^3VBSgmjkxZT(f)-%md0{ej*A-D05B6U{%$PwIcV-yd0j%UAwfe&wTQ`MrmH ze*~0r*8R_sU4ESX(i-c$^PXYK(HJr?We9k zweEa)(h+N|?@vc4O2;+-vR)R4^eYh2TA> z)+Oja<$o3ERs*G;Y5hxbz7c|_-F~^sPx6(n{b&7Mhm5QT%5u{ApTBzBPgU*xoeoy1 z=0Af70!+RB$#QKRroRF4ZUox;V;*m}zW=A5KIsdRQ9$nlTzp6m%Hm+M)BpSP_i|pY zwW4e$_s{>>-9P_~EYnRasG{^{wtBvAH}&GQrwW`c)Fry(;cjepVHAT;S-RiSv@HhT)9Ab5u!x_FSB&OnefuAGOJcoxcpk zOW{3b@{ysE`Tv`EqAHm7*|!?}a1-}OxZ#~W=5Ni)Qjc6SedOuOD1JKsd-pKiWd7SG z9jeFVXGHv$`pvWFHOrnCRoCTqiZ-||iv1t5R9^6_2EC{n?muASBYNT|E966_N9_uw zPvPx*8h?_#&Q<0d@~UQ9p$?TVm!C<8;`0*x)Z@9)Spr|Af6VuXtD;Lf+!|HEwiTx( zi8oda^wp7n$`8eB=YyV;Uv(bnIbY_SYVs?uW!}etUZNbl;K%glKB^j2kDpMTt4B&X*^-dFq?5<3HL5AW44pj^HMK^t)o&(94?eU#I*g z^7G!i@n2S0pNwC64&o!Z5PdYsx!QQ&ELT-MXF}#V6KW*&o1gZ0{FkE!27Y5T)dj)E zAvy5VuO6mr>O~FQbNVKqbYB3yr*JmE1*pgLJW-!a{uA}X?B_vxfOG8E(0u{wm+Srl zbgnzoQ$DtDxMtR+gGqlV9|bs%JR9;(R!pN|J}T&lkp@3CQ2 zqe-9nhZ8{@)rpF3DLj1-m*Z_c-*s5zf~I3vTH_Ty50vtoO%Vz_T9uCceQfo+UbDXU zvA=#M!pr_J9_oDs>S8}AIgaE0a=POUikJF>bZ4Ul5>F>~Ai?9D;v*m9> z_QyT_WaFJ&q?-p6pgJX)ucmZ`KKv~ZE zdsBRywA)^^zPIpt4cGLgUZ!q;BwsvVwio!`dzbv{@70gRKbYC;O^OtPJJ)}y7hHeq zA)qkcyE^|wCwE&>YB=Lz(WcW~Ei^(mZr-%U}tLR>Te zN;&EI!r*(w)(W;iT>k0GZ$I$e7AW;p`%6tY>!s#HK9T+ox?LrGYzVqWKx)s-t==yP z=kZAU&_yA*v;Il_DGKQuBcg+VGF(J$8v0K5@)tjp=Lva!NWVYmngA(Z=9c>TA19qJ zEe72IK6ee*Q()Jl zcBu^>*z%|Iys4cw!MOc71az%|w*4x3@$Sn89QK~I-je&D%|Lf3P|8WKS4q--kvy7% zt_4umAN{?nvpG*l_HP?21b41Kl%AnWUH(!p8iwh&1S740Qhxe8*uUg^BbR^q^e6TF z%W_R!|Ly)i#O1ZaMSEZty$CQ{H4EhTrJrv4vivJfel#vTewX}5)QnR{4)o97;U8Bv zUnQq1y6u3AUO?H-XRGz&mes#_;#R+q2m<8uh&$qWckv!K`nz7qm^F*9zIA2N_6rlv zUMG;)?T2~1NPh3r%ODXv6yyA6TzS2!tNu#6&>~FVl|EVdcLv{GfOh>g zkC$8H@8XoxmvZIyt1Hqy5-9Vj+n?aK$XYL5i0AJ8KdDzd{yWMf;B^BEh_wyvm!z*e zkP`00X{P+3V-)D52Wy!xtA-H!eE_wi^ zoul&m-~Zkx^|xM_|8(nLZ^*45Q0jkFEysF4DOdKl>I1sIKmoBf;d&pbzdV1EF8{9d z8GD}&be`}3pKiU2d0NqKzOrQZh{zy{)$ez2(PwG$V_LI^x zd~yG2Aov{wl;QMx)eDDekNJ7l__wh_aOeK3ESI7*>AjHtR4{TjP})Bl|JmmmvA^$N z(47U8^-Swea31V3YyOJokA{HmOrW$g`aGK8JebAS_>}Doc{Oix7451?T^%J)_>RfC(D)lALl^s=Zb>EP5eCB;Fq{x8u8iT=hurd7~`$Vqy^ExR6 z_b$Z6aG)$FFWj$6=BqfQcjaI5<%RSkknTl5S^sqX$9iYkF7SR^uIX2-{b&A1g72$= z(*EiBkKmw@k1cGxl+a4Aw<|hBZ~1JUC&%NTOF?iMP|8o2|M<88ebZ`x z((S*o{=3Rw%7y!1mxJ#yK-quL@=NmllJw~c&|L)-5byu3HU6Sfe;XV`##R4iyTm4t)SmzNIDFkh{a{>)YS2dHiz^!rxn#j;`b9u?D|I zR{Q_=%U|kG#o6x%kk`k70`&alA32j zEPu}b!-!}KP`1YBdfKlS`e{bBpzntn3=pFqBs z0;T@w^$#OUe(e0lCw@1)4?qnH>(6vNUr_cvUF-c`)zZO>mfW|+Z$Z!ESi<`?KZ)mW z041NOf1^I}i}Bt7?^p2@o<9$?>(Ag*`dwP})J@iY6d9JssE|hU)e8e7^eRM7?}l>;dJ?Z6<KM@{U;c|ueZJ*6)OaH zF27{?e;ECW6``g;5u{3`E$39o_g*+5zUvQ_C{ zy#93#(tRB$%a8rdrTkO3|H<^nwf-e*Ki&l2ZvhkZzs<9C|NZ#;3F}u8+$+JwT%fcw zm0y46f$#Z1Y3DTmJ$gJisNPI#{_RkO;Li0wnfzVLPqxd=!}J$|k+*?T|MYnUU)5~U z@6z>F|MlRI-ZgzG7al(^Lb~q(?e;S`uCALs{^$1R9ndWX%6g*rdv6%`TwH05|Ji=I z@}I2!EJ3>O0;QeR?Z=;dKT0=!S9&QIZvS2BW&S;d?0U;^u>mO4(fYq)@trr`w#@qe z%lic^2i+>5l%KYLfn%CIf8A0cxVHiqD}mDfCpPc{l$&dRltHJjgpv=GC zuLbKTlht3>^kw}kR7lQSi;HzYSa@c6_&8Myz|Pv$Rg(xq^roe0mF zU$rv+%YYy4Zt$n3{BU^V*IOk_-!nh!9)7OJ=UC4RRI|F-nPcaY-*pwWc4DhDdJLfa z&^h;%E+M5KvEs|Xy$3(#M84=8dE?+YG>Z9J&U|Xw+lpe=#_EVtnx!Cuh8u%jl{n`Eq?3bDX z_vCmuTkX*Plsk9Z>6hZYfl=XnWCore2$cQto&LmjbBfP6@qQHGsQO!~y23(u;l@n|=4|)_fxGUr&6=c`SlIn`S@=f z(q|*093b(7+Y0grsJ!bbbCJ|Z|PW9BJTNtKa z3yc&1r5;7pa-6>^%azanbJZWJXC|40!}Rw+y0w7<^!My!`#DfJ*YwkspR|jfqV((H zVjrNCQ?{B}yV|);x_n`M&*AT}WY_iry(}laABpy+-_mx2RsV|>f~T!Ndn2NHKv_=u z{N6KqH92;Uy`F&mVO-@e^TqRluJls=)PHc-|77J~ANeiBWhHgy)XRjo=r*5 z?50UHW^I1}Vq9MJj{HeT5GO62N zNzeAfHGSECNVon_zuUe3$n?4XHHF+y1WGw;f1+9c$-5xuQ@;=12T(XT?0+4E=SKo% zIY(5pAvf%`@bQg)^Ro0M{X+VK@w@|&`cvjsw_kONaxXq%b<+OlA)q@PDC?O%fBCF# z?{3_4rCd)LQ(^keKu7$^`lI`wU;1y-FGBU)lw>pRV#txBf`_ zkZrFs`0fIL{cfP^4wQPXzXvDTzaGJz`pACY0y>Zb8DD_YG zUxQ!z{xDK5%zs~`+Ycz~Kh=}O_6Nb8^;f2!di|I3C%)YK53*e^RO#{0^6QU?&Iii! z*Za{#|Fe0}Dch|6C;RgZ0Np^KY$vkS@OAed`D(AtKFu?jV7@|d?<8ED43zq#*Aw9U zN@*9GhW%I9_9u%H46uo!TUYvI-{`O|8U;6LH2rl-cRZj&rA-Fdb7pK#MvZ(j->lJ+1-u9Q}{|uyeCQ#~WzA}$1Z~JvN_&(>q@}FowNgrJ6 zPX^*QP;vS<4Dp@^l>Haoe&YO3S+7`sT=}Q`nq*Sfe`!~F{^J7heIZclkM6&H9{+%{ z#;X53|6D%)S^mS3?!~|?paE?^aDJ_{YrLPu2!y`~DCaM<{#Ww-Oh$t5OMo(;y8i?F z`B&+0`O1&&=Vjn~I#Bi#bo&u^2Rq?&>-_FB!uE3%=*9!>@-JEO;m94Yf9BKpJ_uHF zqC#-*a$Jl9%6g{H|Getw11}o?S<>~CSAgzHpiE!S|DgTL$9n@E72UeZPu4#ke~d;% z*8^oZ-G2?vWBJtj{>tO;t3Y=hP}+%nH8@xgy4~u(^L{{MKzB9J)<195YpwjIE3Ng+ zEfj(~_g`hcazpwUBDw}B?WeXs!Fr{)toiSzA-${orCiv4UW;_c?lOH{|7vDFG~%Ea ztoFZ2g{AMxzpPiqX{OKh*EM}vuULP}M_(B7e*@%xGf;r;Kb1_J++ zZg0fJO+ab?qsseB_M>L~Enogwez$<{hbcp4G5-A~_VLZPSGrvAn*h8EDEl9}|I{kp0iR*@ zKe+zi0lGVZvYzYl+y9gASJEyvR>-b*H!ki2%5ZxA9p}eo5kY|5f4c|I?*%5<|KNG$ z?SJ17z8?U}{OkT-mtF5?OnTy4f2I8`Qb;c0{Ca68b^5`t@{YeIAtR3fW%=X#P05E= z{cola+`0WHc^f)ze|?Nv^+CeH4OwPvPP@pwxdoe>UuiE%gWPu)be$`}Z%&~udkXA&GjQ=dJt&LXpPuTkESH9gg1M$I?K11n z3yA1NpzMECoIkUaKj;4?r28_^F6Y0d|HA3J%1@Rbm;bBadp^+C|JaX@KHstB8ov?V z8#q?c?Mz&}36%2J^9Ox@efy`#W^4R=XxRUq1-dtYw*Gs;fu|Bb@itJ(Uyq+IJaxe9$1Jt_U%dX%HUGB!DE&pac!wScY+qsLf6Mac_H!}P zTO!iMjq0h)RpsqJy$4p80;T=Y_G?l6``cqy|D`SR<^KIQS^ae_|7`GQpiP*5a(~`s zPX4^X=d}gZ)UjtD^62Z=>GNOi`lL#W1OD)@+cxRQ{$Ky%8^6*Y{Z3a_`>N4PKl{P< z0waF#!Hy~le&6}#yykE5oc(=GI9kUR+AW;xns|P-IUkqfk$$;Mzo2K_Q!fI4u-ze# zQs4L?Yr7Nt!hRa=3slpeTfTMCal6A$u4+O!Iv3jb0sijOeKJ2?la7aYh`*@H{`J~7 zCLa=2M^wA8JzMI)P9XYf$RDa{3smBozpdP1Aj5jm&q^jO>~q_ z2I8fAj*rs2jSY?(P$Jw9bP6WMX+96#Q}!ANd>7yaMrE5S~+P;-_@!z0Du- zlNZKo=nBGfmd!oUM{#a9g(v?+I&ZqB6%YC4Ch{4a3*I?b^^PAWy)8$5zt`en#m`j( zJ@M_qADy3@dPVol7xDRD&)fD$uZb>KJ-lFK?NtME)z;v=#p((C2Xg4Ap6JO?hY?1@XkK>sd-)3M+Eu>H55(>}Zg7{*j2kf^?e&HrPdQWmBdMbY^ zcYZ&izCY&ooq6hp@$p|x_3HU?4`fQ8%9;2k{&KDT1gL)2Kt61LT;c=z^;o`YJ#n2r zQ9KX+$N4CSTCgvaKGT`}QTkE%!IR!meWvh)1?rJY#vbt9fLbaze)>|1x4=4Qn!@vY zlOD=<4V4dttGM%{x8^h&_>cM9*3|yCTN3=*9zhySO_FI7(a&ZqC-qi5S6piCKj^W) zEA_*3Ku`BX|5(u<3y<%(*77&-!|^8ZOZ^$yU*732U)Z8}kH&9U-&^_o=}e?6#~FC2 z&$%r8OZJZ;z4biew>pxPaI~77WW6=@|LFTr76>Un=9cctF8o0;^U3EoO8KQeUY7ai^j*g*(ynm**#msn1(vHb9iVN0D!ae4tNf(= zS$=yV-^T%EIctB}lJ4#Me*dLU>v4l%B|}5|yEo_xfl~fE{hb3Z{_uzkHv4VyK7cao zh3et?K0v8|`k+P37fQR{&u|op{xGN z`d=?h-<4kKKii+iV0eEZwWH=%pI_APzES=~w!eDgl+#bveib9#1A($1K>gq4)_NzN zFFycuO@PvV#n&t9<8SIOw)VeIU4D{(mY=KqW%<##!M**K<;VSxgOKlIffBl_Ue&f8 ze%G~Yd@ASQz2g0|4+ghv1?G@c+2`4)~~w?f*** zVF@85Au3`aLWEF6Kzh4Fmnu>e0i_8>Q3OTBhN~jQ3W}nrh^Q1BML|%|C>@mErG#R~ z_hRGWdpzHN_Rja*$(hamn9W9w|NZ2X?=5rYoH=vmOu18dI^}*Dq0cS5HXG}$n)~#1 zKvx&YK_J|6Bmbj6|AUw7So2@Ezb=KqO}XIePP7xwJ)r}vHW>32^nAzqplbr;`lIon z<;HloK7XYF=%{|-!_*K4}{YfI0| zzs~={(d+uRIrQEc$n#&Wm;dLYJDUE!)tE2W%5Q(P09{KUZ-2=4>(YfuogUunQafJ- zYbX%hy8XcA(*B1At~*hL`BAhMxt&A%C+{)(pZa?#3DPk?9bL=wJA(4`(SAQ~H_DG* zFW3rUF9UM>mG|d{!Y7M$Jz(k+|*?&CRH*@a19OHXm(b-R1@M~8ffBC)3 z8!&&@@PB%}fvx@VdNEUgozor{9q2)R^v{p^`qDduF{l?TROVa;xCI2SMHbxB}0w1advg_4?lV zvtLInKRrO#6Bqz0kn{b$_T#=kto_&v{CWd<{>k;`IRBFS-{{+qTrbhrUp!y5{a*#S z`v6V-(fA#wk5ztM{}j&twEgyl+(Uu9{)iWo&j>A8{lTUFxfd+hQ6RWO;{w;=0q?)3 ziJV_LzWhtaLq`3h=Zp3S-2foxFY6y~y{CEpNG*Zj&NaBW7RddCq@NTr;E#>Pb|aB&Ne_fzHhZ{7#hqelIu$3Jcc z-3TDpleAy&x8JD0GVt7f{2`M4*xEnO*XYYHPnYA%KT0LgxfRIelha&d{hxsJDbVfbyYc)UU?K}g>Ho&4KXv;j*8H=j=k~At*L{%pjY#r8aaY?C^S^f~ zeO|DfVFJOOvACEA+y7J^AHehJKyLqXzIJH6;>iPU2Hq>s>lGiw^QVEP z{byvZdnM`J-7b9}@q*<$zxg51O$0KK{pXC(>FuYs@bd?q)`G%~!^H$3Prn?0_10S+ zH2k-2KRpb(@j#w`i`z7nUq-JGs3ppnC$y z^Iy_?zwq;aDLuCShnEZOe{AWApOQ!G&z3$}5#oO%LAO(I@f47ke@cJxt-q#1?&pC# z|E2x339T31X|(_Je$CH-?m1urP=Tz!F#f~amHPYRvj{(}Kzh>Oa>M^b|NVvAPxS4- zSna21>9zl{wckkmUxeOY0ww|#$o`Ypemr1|pU2vM)bh^&zgK`^{%d;T*72J+8|`Pk z-r{A@%>;5gOY_&OaJ!6ty$X+4*MG6O*5Zt={<^Ci3{y&#X%Ws>0UVe4?c@qiQ z0OWQm+n=q|-b!e2n4h2R^z-Zgw?Ov^DTHBTk?W1W95dD{cJ}GtM)({cum9!v)Gj^hxZEF3c8(-iv{!`KZe%JMwmZD`n1)5tocv; zlz6)Ru?X^h2;};c^=FHIcTHQo-Po^De}8=!bRPgs{}G(B{oc1{d~S^Y==rzrf$n`E zms9$mvTFWNS-e-Ezke>q^Cbn+OZn0N=k20e0>Q1zAD2t(&o=+KUTgULmqL(bKwf^N z{N69T{fgj!n*7}UqHq6ldhLIfBOxCHc{o{qz4aj5jqeBg`|k?SeMAb$k8-~v+HWpa z{~K%m^Ky|PNK9M%;ryf5eHlWd`El&A`u{ZaUo}Sgb^WmleAfaQ1Y3xl z2=lKgJ*z>m2FTlwy8Xq=RrKvIt{2_@DO~<(|FI5ouLqj#PxZL?wx2da?oB{m&Sd+& zTIZ(U-MpE9zjitc1b05e#pgh?{Hw>sxBs;navuSbU8-AYfB&6u=Ut1}^YJrB@0Yv< zbO(T3fAPWzEu%fL%{Z?|kAG|h-7X-vQ`vv^#?Q?C7P16_JKJ!v6Ug;1=Z|{(E$%hO zf7AW;({|A902XY&MLqte%TM9TU#$L9^WTkh?+-wc9V*WYnO;GwQR_u~0J zAg^Zv{(fsbUyCmNUx4p^AaCaopW^Gk4npq3K&~g5f1?ZjensW{5a@D&yqzh_e0#HU6e2O-#@uu$rMPgwf!a&frqkPhF|3U29DbAH}HC*==F2P zo&UY5q)_J(|K^5H%kEVDSN9URn)lJ#Kl%F(D7Ja-bkDE-=BoQsF5ee`^h@PD5Bn6H zLOdk}#0S#)+Fuc$rhnw6J(FJAQzGL21S+0@Saf|xjq~@G67Babj2rYCoe%yW#7Fxd zl<@fxe|1i60-h&=58eCuEY9{eGAN61WPeGgS*IQlGeY7|Dk+pcOCtOkh^G`#^YOaN z!{YF~gqSoj^do)9`b_RL!1=!={dM}6dmAiJy6OCC zQ$FHPd`K?epF%FWr+g*7>E|04)slZ@{QVcyI&IBg*;nbX__*B>|2&uW6;S(Qq(aZB zNMCs)9?Cy0kFsC7C!}xzod2At;>jtE_2QI|Bu7Aa+jg8lIEUg%27d}i&vpEc`e9!J zoo=&xD#pnI+I+a54xv#=$`CK(?1s4 zM&ME6kMKdFBh+&6bmzIL>Ib<4Liv$Y;~aJ!kFp!G6VfBaufwVH%_F_fbIb4REKML4 z=f0h99FBRwBr(r*U@~~r)i^7v!lrMBo?`dBRb3Y5x zH-#g*fKdB3l!3k+_`&3e`cnE1&$rO7G}E>~KLzC1_7@KRGP{x97eVQR(m`_3J;_JU z1E<-~fx=P#(0#hN)BBajzANGHReFeD(d~y&uiV6Q|FZoMlI4B~JHz%v*lDvL!mUan zP8?8yoKGAo06k8e_Wbe7LC41plEi|cmG(Z>kl z8;$iajePn9#7q4+LZT01K6VnqDbVY=sQ;SC-s47o56T;T>Y*}Ee_*WVsw*fs^&hAm zP50`(K0lqOE7tKC^4s?9VVv2 z+PU`hJpHliPs^X81ais)x&5R45Zr9ok6sU$3c55Phn7XQ9+}H^o*+K9{V}fp==B$g z|Ctb^HIUm$ycpU4!pAN?n(NYgFIY}rzxx=j)(Uc2Uiv7WY@PhSCa)qxyZ$8`M9_M$n#H*=fQt-z3A~gTl?j5MeqN({YUSAxco&|{whOn7Xf+xOaFuUL|m`> zdt?>RWda$<`H-|8h{u~LD4ebS|)T> z26FxD_7k_CfIx8T@jPCBofzq(FaKQr={*zwp+mF0lRQCBdh9FIV+|S7JCyy`N_4{FC|J(*Xy{-S``Kt53DfrSr zE^Yx0asKAsu>Ei-zGev763FG3^P$cvePfNb8x8+aLm;@*92YHsX8VciAD*wVuE&eD z{6t^=xn6YrO^Rqm3dxV5^OwB+zc(BHQ`6h#f2{t4>tEY{8_3%&zua^!&wmzjH-(g& z*BRe)oBHkFwg}r9NOq-e<$Sbyz3bGNx6+tTrO%&h2fFsaM4$rMeqCB;-i6aYHSAaS zzisu$<3{Pk+4M{^IsW<7W2$i`!51 z_Rs0H{d9rcU4h(BQv0F!&WEtgzex7e9qArkVEU#1y!L^Ydrkkrm=D_3FF#j+t_P6k zzub?hQHe3N&ik6LM+&wT2yR{f@$#?R&pi=QFN!cf2J4F8*fJ$v?RC`H|G$->V1?74 zwx8aJs1K00|6o5O4;kx$gwOv<&|L-O{Y=?^EO0$V^z{$dU-b14FF(5c(YWfhke`Q> z`?>v4^UXWgZ#VpBQ$PKELDvt+<&^8uybmpZ-1*V{!S|X1`D6U67@r?C0CEom^71F` zZ`+9Bah+Ei?YBk(!L7?*B>yo85e)`%KQH;ORr>+cII9ZQP#}2B{D&Z-Y#_HEnST#| z_u1LymKgP41K)pL2fCra1fT->-N!pWcb+kRr1z7u^&h z@!o^rFu(kd#`DL4oKKS2vigTob)WslZO`cY3c9@=7ZZV8&vN|DJ8vU5Y&{F<;||bG z0CM}2^YOEuPHtUouhD)HzWjHBZY+@ERkyPLGH>G#233m>qWQU?grm`fIR<*zquc)rnlwK?bq?;zZZP(1110!ke!FG2O&M%^5^Lf z2x4PPPy7^}E>IpYZ%caAzDY9tQI9U&^QATYuT=FOvP+(sTPGy@ccVezpC?%HNirmkV8gJpsAj2QrZBaWcdu zcdlOgm0KhKi=f_5`AIx~D*t=B4%Wkdj7Ru>%uY8!K_=s33XqpmS$?n{klRmXf#BBu zgWHc2BfYktryZ0(=YtCFexN8#vo`F{a=TLR?%NABmdX#S7| z4G-}73-X*9lIKOxy$$5~C)?kzwW|19t9`uvmT&&oOQ4$tGYe{%ddCE>+U7cVl}Up0LCmq9lZ$ocE>Bc85+pMG2Y^YR~S`PKPn%b(XD znST0TMY>-D@^s4aN1UI|^-|lXx8+avqS$EpUkBf}fV})l`|*BTjQuS1{FB+Bn*-$j zNA9Qllv>Zt?V_qc@R4aj_}XZDq8uY zuRpk7*YbY|xwip%INAQ1yZT>ca(244@~1D~euB&Kd~^QybRAj`f9S`0&(GOw>}S%+ zuRm8H>?$Dl)6)LZ-8K6c?{LqhI6dqr==LLAd<^7zmi6~PJIE9LHW=gAMK^w)1HLPP z3_|(oAP8TFqYf8PkY&wxCi|NpT+u9xWBue|=#_0JaQZ7Yzs z^JF>2_h+7e+J0>FpXW>T^(Uv-{$o4j-T~xtO8*c4RSxeJX#e$R$)C*l%W{QZO{Ijdp4gP4X&nA6RzT_F}v*|g7 z0|w8Cxc(W*6Z?;!J-FQs@gn8X(7`%qAl-4mGjI-e3EY>!`o;hH{7G)d`$dq$q4T!m zaGtWPchwK*+bh;nCWJj#d`jVY0@e*C;C%X$Vc{L`r{h)kb;gfw3_zk z=ERSl>-FDionxF(bfkBRm(F`8e#9pr(wi+T-)vzi(f`TN#OYFkuUDsdh;QID`YH|n z#FzM_h?b8p*uOncMy$)dH)+#adhg&|@I)@Rz`Ehysd!HDq+`81@zKv!x+#4We~Kt` z^}5z)Euwn|>+ChXcfR_{fLJm9Cwa0ug(D1)FA|^T-cQS;?4u0UgC-m4p!fr#t@le2 zW0U8VUem9ve~x?0lerI-Yf0zGlf0%KlHF2#ao|JwM(2K)!Sev(FKfs{`j3=eil5@u z>E!E;DO?KH`<6p_pmoCK4Zi7O!Tiv#9G)j)Jw3@AS#OT|i3-1zysy;&k|zc0iId^a z%=6|cT)HpE=bwdslx}*SWbDTf@YgFVwv&0TV92Yo+rLg+{7C;icTN*~?R`SE0D^xTw-o)_Kv=<&0%YX4>Hqsz+m(YwRe zNAI>-A5Guc<5WiBf0FnnwBO#vzq&uL=VSc-0fjG*_q>02((V6!$4)&S&vWVfy%%g| zwxH;!Kaqw90eazKnz+pKS38XTzFYeIiC<~Zm0|R9e&5Uen)RN$*_dD5LQpVjck=ct z-pX-!5#hW$YVX;$&qz)cbB52K+Ow2yE=NGD!+9^HCq*Ca{2255FxkER{ANn8;!o`X z$4OKV{BzGKAJk*i7r~82|E!JxnM3)Nj0c?0>CYQa0$o`k=dagClAWqxmxG%bosgcS1vOC=}7nGKq}AbR?d&wch$`& z*L~++kM|zrUg!IdGx5AKklV>gx6az*V@5ra>$c5LpVME^?OC{}1myX2(#;!p+XM5K zA2s$@(DOUb2Hkl;Di7*bmY-Rn4|KbY?`!(|Oa;)<_+4237dSs#?{|L==qmy_y&T{1 ze(Q|={)*0j*xEnO7j6HAqo;O=6Sh8@r$0>$EavN@Gmvi=0?8k%TiH(XzVCl*l>g$h z-)R-d-5kjEFTYQheRFx{(LHWMy!Rk@m0x}{@%&OCFF#2lclfWzQ|8C#{1=u*MEQh_dT9|J-%8Oa@PY=J5=40p3U~7BM{s=|9H99?MGYtjYMA` zf;0m1d^+jQ#D2BhFVyzsZvZ;-FFgG+|GZ!E-LJMWE_Cr-c z;hNy0DUj<=r=Qyo*+pU7&(Y^UFINFyep~zD>C)w|1=4*PkU_ACm^tskD>}Ypo>$h< z_unl+&<4o;hn!zLV&GYC{o7oh>k8t729{r-s6VLQ%lf;(_FJs$>$Lt_L6Fu!u4mo< z;?Fg`t^OmG-@?)R>T;-E-VXBf@+;d9-A`4xZTBMM`=nkUZOfncD`mODuRX8>ke3r# ze*Tc}Q#$>&@<-BtN66g;$m=ONKWD~oGoQI=yWu}B6$tKh!bN8wPrvLxe7Eb=g3Fc} z=LJ<32>z$lA6%{spMO^f(hbP-S+38)_zQ2p=>1)6_0RRH>t9=Xo`2f^c8Aj z#ThN{|LlqnelYgi?<6Q(;rQ$F-vbd11@d%C{dxPHf9F;vh9L~<^Co-Zc`slhP{B!e z@)LJ|G3Tc*js3Nn2?}N_KhJ-yzut)GI-u!41~v+9khs@aAFTIByb^RnfTsP-l&58l zI&ZhJzE$rJbrtBY1%~DT;+A)*_A zy!^`V5Aw9D^W(mD%Mn8lb^GCZJkJL5a$5Yy-)@B5w*k4H=e>InpQ zhT~!cJ;;x8f7pTEJb^<-`Og#->?T~?4CHnq%a8ZVbNTb=^Pk&~F2A<+6N&y7$UPEh z)*tF|`2H>kZtcH$`gQpog@|sY2pKjN>bCgy|3^dK+kw3OK=n`L^-;F@$J;epe|LcI zoj|VV;%|Rb>6LUdD_okx};|>*ud-k{_owOdmPC1lq9T|~-ye3V zf1!d65D4zvgNunk?muMz_s#cj@ASVt#{6WxKkL1qdl<;&m+RX@(_4qE4qM+u7m?N>d1Z7V;ISC79v1is^de4H*IX5#w`w~J`Me>=v$@4EeOD?jCz5>xyC@sN80 zkcT7x6TZHi!rAiY=`Xtcp9Hxd0rK)A+b$7Rc$OaIN7?=nFJ?b9 zrS~!Je}Y0#u*tZX0xYoo82s9ppI*nOw@p9SpX1X%1-?%Mx&M^@&pU5*i_!n9<{YU6OQhwU%pU12FKeqJ54`TZA+tTxPh1UOzh;Uwn^k*#E)OPXqo$iHr??F(n zk9rBu=K^^>CH?n>qo2BB=vF>|OqM@N&kWGLTp+z1KmFw&cdprCo_E|rAh@;vj8y;6 zL_~8aLWWI5@Z_nw9ll*-%sNb@A(2V9KM*mHZf6W5jt3U>Fe+Q?_ z|GhrOHvhR?y8PJEbHA+p-|G-~HWM5-^1NW$pM%?k>DV+Se{qzP@ z^)`^FQ?3t|yQ6>l>keLjIrRmCJ8$CREqcJPu|NLK^&h?e;puk-v9V1*r`Pq*JBa9A zAaB3O`Um5$NyN~@+P?pokLL@3y!|Wv_xI}i3AbN8|G-v$u0L(R3&D30kmsM4pW9#Y z*`MJ($h{cI(;52y5E_90%$WbA({HOkp8wI?57(bAKkq~Cr9f^!C*6U)uK#Gvf?PKX z?>z`!F6h=)ex9$|e=b8ryMR2L)L-teuW!A0hg*#pdU&~SzaQZFhwMFWR^nn6kf&ezKkv82 z`2L~GkFEW1yVmx<8hqCPIW)!oRG%61UyG0bTL*!60=fOm^6QOX?KIkN`upR0(0vBv zeopT1_|$+}zpdV8%-^pq5Zu{-i;X~DPdUE-<#OrzGuHgGrRV8#eEC0z+?#;B|0w%k zw}w7|Z8rL^Sw6ij|48%mcSU*7V*`}Z8 zzxLnT!EXnU;#If$ymFp@vD%N$e_Q#vT-txw(#I-)GRqh3KO?Wt-fh1=yFnR|@bRP> zn|>%M6q}Q7gHLb0yh^Qqxr3|SA^(1I)$=@8o#%W4_cT67`uLB(Zd{5Qgpz9}5V z^Sd7}k_Y|)@y}BicN@N>l-QNqB(7b*lA^-+LGq8*@BZ88qv*odFO$6LeB}~|m*k*x zR}*}GD!e21%?%wKoFKlHr-Xm-O}wb}uliCGXW)F~5;)J6b+^zC0F-VA>*~vjs`9kmYg?D`<5B19 zmgVOR2Wg#eS%lMiQs-`m>r2TM5FMWiZTOiAI$9@6a#6pM?kV1Y@QzErhMp&ap6+Sg zb1LkloFNzK72(6q5ti*t?`QHaAK^KL3y2|eKR$2D;1uBghej9}wHOg??#9KGJ*QpDu>J+~&pye@qsVndDej+&J#b8SVR!`~l%@Lr`AF zZ?30T>7{e0H61-yNP47o?kU)>fb5#y>viGYbed5luYS(sCA%cMpzv}(g0JtAfAl=h zU9zk1@V6J!Jz+Z1oeDi_J5uL@lm2zQeEqeSUxlY~M&SckXP%1mlAee^g`;)kbRP&? z=gsXWvObi4bpAdwRXuTTADmq=`&{`yQ2l|a_f5^pE|Z;?5as3fJ#!+0@S)hto{tf98;6TafOM~JlSI~p%**a6|FheP2t2&T@9$GPt^(e3{wLi96Vg-9K5@)# zlAk`Ow@**~;Ieqn`JZ&X_2y3;;`^aGdcG*}O9VZ|r*0+vQ>D(>v~-Qp-_+yX3815X zChxDx_I^h-UQO|<;B^JaoKm>p{RBMBX(zHVUykHdZ=#>C&(lSAAN%)y+x9A#zp6kA z{q@>O^dLXVbCbGby%*_Oy^eLfGWzs$yCVPNILVOrOdt;zFUEKqX&g4bmo)V4w;brw zfeeD}#dEU!9c_Hj=r8O3b_xi}GeWvSyI$@GNcO4T==r{>2$}}u;iUgXe~s%u`uXZS z|0@fyi@CpPYk%Zt6yNB_Yk7ao@#Q}Y2|1e*lplj#5w7^o*PwCKOvugiKVEcSa^@|y z#_ZzrrSk0uT@iGZfZR^xdb#h^dNC>|Dj4ii-kb}%3xMPg)oqf$A1AjT?f=dL-T6SX z{5cr!F4#gu77OlBl)lDkhcbq=bubJ#tXS!>H52H{At|AacY8ZZ6I$y$?@J@YQGVl|Cs{8 zom#lK7|6rLBV6&FZ)~eSZa*1Fm*dnyx?2EwJ2OqBygIk)T}Qs*^GzJR-#}f^)dzC@ zk^eYktT$*Z5ZtMUi%Wsre#lNu{nPWpwm%)8zpefv*?$Ab-4w_`u6GvLZ-M$3>V17d z;Tqzi5zwqZ)noHKC!K$`^2ZTF54HbqjOWxpGSeB1u-^zpXUm_*tIMw~J@>0R|C>RO z=0KiK`Ms%0XdLw2uHY@|XwOCZc{xuLlV>jbq{^57aNnQ| z3t`SkzyBcc{AnQ9v)r$!#wF_;U-=E+FD)iUoHx{r!`Njq~7~R(|^1 zB76rRuRoH+w5k+<2*Q55SwO+!@13yr6Q$EO|9Smc8}Sy_|LO8~ znG(?H3grGfUgY6C5Z=Gm{5yiK6OgB${D1Br_Px9__;x9fzw~p(y#3w{a$gQ)5IT?Q z4{kqo2g55EW88?=e*c}@MfCl5?msIFaEQ78U|W8uyeYoA{_6!nh68#1E6eZf*`L== zKE}`EcJz9m-k`e<$jhnR@4@pQM~wA8uJ3=Y1l={jc%T9~-(mjFciZId3LF2SU{~Ry z4?SR5PdMI(g_TDAS3^*+!s$=@kE;<;Um*9Ny8h+)pXI0DmOs}^rZ0a#@a+#w1S+6> zHrtPmpkTKAx&7$$$4XE2;s6N5{im$|8o0H3BpfvIuX5D#^Lkykp9X^O5FiIR-xd26 zasBJ{PJ=)&7|8Wce2VXSvsm+QDAGL)$o1rinW5uE$9`kX*Q+cLJZArQJtE2m@_eTH zcegR$G$Tg-y8PS#zBdASJt6!5`2N84QXxkE(U(827u|lo33A^8WFY6;=Xm=)95VEG zo-hB+AQ%DU>6i9j%;!svgxsTmy!<8!^*FrzB6!U9Yg_)fUnIZoIJZHNM}S;@S^sRz zdFB14U-AA!zVnPmgYJGH=Ofn(Py3?Mb#o)12YNf`#sYagktXs&#}VEAkFffi!rcM7 z`+#QqVT-pv`w?UOP_K8r6Lj|ix&6uW9A)h>W5j`o^DW1K?ydsq=havYwAkU}M+wXYLO(-z^11J`Z0um63FG0`p0>aJpZc- zV)HmIo&cKtAN9ES_CF>=?kPYH@;fWev*!Lg*7+0B`(K_f(fi*><$o#?{3_7QzhJc& z%XInj0RMjN=<|@D0o}6&(xd&Ix5McF3xVL)<(JDZ+m-lD15O9>_K)}d1nE+oO1kT+bsi1ZCY>CKYG8-7eV(Dko!6Ezv1T* zBY4dDHv%!_^8U4>o1%f+^aPcmX^O5c6Vm^Mf7;-NK z@_d%|_g}f)#fdMC`AfS0vIKPR1I_k_dc4J0?-_mh<$BfS*EauozH0hqkb8N7^2`0s zy#01^jsA=F{~v(vLm&gW-;la5zU^mQ{c*pd#~(jJfY9X;#hCim?8FY?Xb`~=Te0lEFl_V2iN#aRnibN?G`EfC!K z6c;Oj+<(jYTi*EVX2brq{n+ZCr(fHzEj_n?-Tqz;xik>|=>I&F^vnw5ycT_4 z+#1krERbH-|LA`u;k^Pqe|s&SuLJUQO8#wg*VM~eZ1|t(_nS&!{4)gIuE)g&AkRP9 ze#L$lTz}E)pQlUPuWkNuddHXlGsyjUf$~fL?VVS&*_gi&z5Vg@Yx}X4pVLRLKc0VC ze)_i{-CKc)Kn2o%ykB0i-LH1L642QJf9J*v-ml9L2yWefnxK&r{h=aJ4+eQDLv_8 z+ZoTi+wWvqk@9rSiR;fy!ujoq>NE4GfavS}5`EsndH} zmk)ahQhHK^x2?(AaQ!Ggl>dZz?iJpF%w-XOk_hbzF}PZII(WPkzo{p>Pr*9%6qHA@ zXOffBVV>u$?On+m!2S@3HzO5#N{3!)eR8;7D|z$9DLnC~a;fhe#E;fZQ+d~VPL^rrLUPVZM9<)A#yW!HLB<(=XsInxD~ zOUFm@aD7vHC>;44^8Y&CNdBd$){kHIeb3wevi0Lha{c(%Ve7}gwpl+uQ7P0Z2~>dd zzFYk2#<2!a_<7$gKo`g8Ff66GL_B*#r z@>h<3PI?MUINh`mDc~Q8-ZuZaU6Wt5AHRxZKeqg-oT-#$2ufjjT%-f3JgeJy5y^fi zJ%!^R>-eqK-&v6RTp-D%Zsq!)sSnKQ_p^Cko*qA)1 zqX;xU+Bb9VVZL9uqxTEH0O6Yec{z<214kcN`R*HsjQU6KUqba#ebAFXRkul^&Z5Ql zx80W;asERF=xPFa`AHH3C(d4V#5rWtUwZx3g`leeB!8@K)5Ow|O|Dw;_R+BKM`RC` zL028f`OEnaAA}~*?=t2uYWuGOx~f3VU+!O!7}~&MpJD&H{>cR0ML-6!{v27%*H2c1 zz*#`9Ke_)xg!4`)owoK*`K9QhFTat>k1cR7Uf4^ylbT&PJ;>?r_a8Bk?F__wUe09s&1+NX!(&I?n)&I2-Fa-?Klg{zh=8H7?o!c{^XWKc{S$CtiMT%s+_! z`zP0{wjW#ji&THLgWT6_;qHol)X5eOc3-ZwA5#lQaSiiA-4G}{k3 z{~0qo>-ZjH{HBqge%t)xdeQlJIr#Si^71Rc-{ZWsa(J&mj~{i%^DBVdP9;6|-{AFf z^y`0lyqN;*oF2I7Ne}Yl-(dbwZ^+vR$lHnWLOniY^gnd_^-9oP1?2f${O$j0$lVvn z{fs^@ocs0Y$4|Kbbp+U1_y4(E+JE*(L<1toPxBXfzSi^kUjw>pfxMhh{ukf<|7`sa zFTb_?^bbP12LpLN%lTgs)}JG|b^h^kq5Gdh5Ycr&ZYPw_f8F>mrIX90{r4~gxTQe( z<^0=2PqcmMnj>x%iYSD^%LLtCkBggty#A5?$m^1L3aa1m>)y+Kl%^6 zUmLyu=XRmnKR1Hka3IfTDZlqYb(1lFi@wtpcKliE-`4(l{yBowbTckS0J)!$xnA`8lQE#X2gt+8^P<-LdrO~68;tS)^L+nt7wGN=a{bBq5qJxN|=)f_@mCdDZ2DO z2)Q2yn*K9aT3^NQw;SbGf4_PNbmIz4KaIbIuYW`EnA;z=_QUO8*MH+7$OK>_3Fe`0 zKXdz!zWvPYSKFVh{5)T%UFA5FAn!Jy>3?Rvdh4;@JAC7kpY?(Thx-2G5zx&qkY29e z8Z>wJ|6ciqpC1tHFA&^$6cKTQeB zkADB(Z2x5l3TA7++%BW9KRCT^e>?+0-XekWV@_L*@);{P(zJqyU|f4Tm7dg9jco6Y%O`up8X(7giW zAkSMp&HSra<+r6b^Pl8=6&J4oxt`?sWf8SMBjw-g;5!@0!^!@u_ba~Nf9FE(c|cx% z9g(6Ad^6hrnF7K8qV`kesQL4BY5#3&f1KX&`M(WCyaP-CDhS}b*W#v0fzXr(5Uz$*l_Z$1K>iTaH=vD$b;5*UC zy?p(tBYghvf?z3-mp?gw=+zR-OQxCU#p~}+?}6@pAg_NUeT4JADV>W!w*<)ZU;3Y7 zK7LR*`_tuT8PdHR$UwHA#eM&(dFzDr#`vSI|33i1hd@(*f6V+3ZU46Er~Fo8>iT~L z zy&A~dPjdbN#=m&`L-*ec$3J@ei`0Hy3%S<;IW!jPez`Gzp5gmXTlu+PjWzwc{A_^0 zn}OW^r2kAiabW(s&yDe~OMUq_f^HL#_kU&iJ3r)rKQa36SpvbG&v5ZMkn`8}&(mLY z^{=h|<49nIf^Kc;x&3DN^ji?oRv_1(96wvD#(%l}#hU-o+dtR8?!Rq^-1~t%opS&6 z8SeXcys^ctf%gi!3cB5ai=9C3CuRCyQ~P(6B?1rY3%a${f28_j7b4mVF8S@V+3knvi{I>L5uiF0hL69$iJfCIx#rHp+ubDB*AAR}d z`BK5>e*khH0doDz{OkGewI|{~F~)z|`1A)scc?&m>HjXM_rcy{ z3%-YeT>sR5-(=WN^z{eVpDw?)@^iTYe)^9>?yrE{&f`U}^SlA{dh={<#yoL*&jq<@l6)2VnVJyf5NUrPo*3ZEjrN?-osgVRV3lArP= zfPFUfdlf(J8$fasKg1iPdZ+TG#WzB%$_0(ef-TA36vp z73GWM)$w@x3X;Fp=~ecUC~ok6kS`d(elw*-*8EqNkN-*A?f+dqQ?TDl684!0mqVqK z^g!~-c8vGa>EV3H-YGokjrMIY^)1WccONxhQkmj|9HN});T0$<=V=l1OUaWiCj3-! z!|<$fumi0JE^mrx>-~ryVYt2(T>$$pP<#}g(r4-?Mcm|N1j$=osCXj9pDsFj6^5yo z6w&7&H;nsoMjFZ!y$=YvnTy@j1#tlsY-9(2^6qWIL~ zczIsq?AGrcUTN%C-P9kiAbArJ4C50=0nwZLji&hgiC=)x z;YRM4K>G!7y->NepKlqdziZpx=k$&saSKOJ{?&0vUrC6N^r>#;dNI#`&NarX^?C_g z{#?Ixefen|AsPI6xRY+i|0mxIBIREy(tQ??hf5Nn)3*A&cFY*>)9by{KzAmP+iAQw z7CLVJoMXm#pI$Fk9(3tIQ~&C5?C14zzd-)qzWl^W&-J3q@7YLq1t8}m{fD<+?PFuS zIM(q#UH)v#50^`iS5$=D*8s_%s#`hV`tYdtt5pBa9fJ2B1PA;6?_4}@2;}s#KT_@S zuc$9_M;*ULE_eE#QyE(=KhNZlrh+!~cS4+|c2 z$xhXCect2+pt}&r^(6g=H{buDF<(;qpGu(10CN8FduN3CVw6tX{Nwf)z5NqEC8oBY z%8>7dlz$+;w^92>z0vc1Yar;wK<>YF{_}FJ=UdbST`eHz z^Z!r%%gdj(-@@5nhJd=9I=HwL$o4K{12C(`f2v{ zC-)25f7qs<(`)}#A96PUCIS`6@{j$_xc|u%6wH=CPk;3J$L(MHk46xrDUkaa`MvvS zLXEB?kGkaNykNnO0>PcexM%|8<%jfCeEm-|$lVgi{j{7f{r;Q}Gk(Z*E91Qf`PSPt z$MY6I(@um}{~R~gdqtmrJYGkDT_Ni)ZT}dMcG?ywzqDVhSI;1Z9(E9POBb!^0mDoE z^=@3RvD&{b|Ec|f z+eWMZIK;0Y*7Bq6zcb?P0_1$+g?bz=KZ3_x{%q}!%caxb4T4-j0_8`!ULyGR;E(UD zvfb!EG!qo;a$Ix=a{H6x)ZZ0N`<2%}+J0=)Pxhk3)cMx~a`yysKO@&0ssUKzyxn>N z!L9QzlKj08Q9qz*{~6wSS^JIg2fg21Z_xDxa{1+cO^~1S*X`FUL3cHf>q*WRh~WPa z+_?%DeSo~3BJX)_x+DA6t5^S8ac`^xUr&UHx$_@@)Vx5vV}=|GurV%AGiF z>=&ThZ?^Jt{ptF5AoyJmHRe0%{i1FF-58+Re#?0A zhiQY_9W&0W((B!B1l=g0>3@T0ztZ;^6|9lpei{zCn}A&Yc%dGzGyHcJp4+$oc=^}k zmp6m&2q2fA?0<`~-*xP zkV6}h)9bl0?ycs2uX_CdHW1taH1j{08Tzuk&CtKz?_f0OZs&~EU1+^3)|>HsjXwV( zrQcS6-2Sxxwxy4iKd%?auQ|?L(A(WWUVl;f`zq%0$K}`de-HQuf!zPf`N9#-i>3JP z1>Jo>daiDzon!o&$6Hw-xOMxJ$E)QZi-_(A@^+%^f8qNLf3EG`{n7^<=<9* zu75rL^$_&-X$1WZ43*#ied}`nlI_%8{@aS|6=6!Qx@ExCD>|F=rEB=~w)%@Bh8}ABeFD#)1oHI9`}Gem|9^h{!~KV@f2Kh0H-Oy! z9Xupb_t;T+*LQuG8aPb_F+n>xo@4&0g#`s&7Pya0FrUAM9G=69H zA9VS*wLeNP*!cWorGFj~P6zV*m-*-Yitl>07a{jcK;D0m@_Xlhnd>#`3k0{W|G8c3 z@;?I+y$s}jLfS9(d*F5zz5n5UMVH^1;QI=Y`#-WXbHB^z*NbrevHCAZKwNA6bNkoz z&ufV2bs!HX=a1pMr(|O2p&oy=Ek8V8b^gyrymNqD|9bo{iSdth{+hO*xrlcji=S>9 z`TJdS|F7jQT>1loI24Ya?9y@GL_}`^dH$tgznEjjehulq|BscwEj^b@+uu8odp;>7 zKL+LZw|Zx+xcR+Yix|6L(g9>oc^QtA3R@l`CAUT zR{**FN%=AU!^=gMK=4B5UxrWr5hD5o$mJycZ3!Dcr*I#GE(gfl33|UsZofsRKim9^ zWIwj_lwOrgoqsEl?)^ZXPFemwTk>^Uk$nqK(2q;e!r*m4;Q_++t}|$w;$GkZf$}5sr{cDmj4KDZGV(rMW^+*4iT*f zayys%ePjHK>$UjU&qm0-1;{}5-$c7XYcof0G1d#qb`5@?0Y9e)`BCn7qi(;7S^tsj ze-rp^268{I%YP*LSj$hW^jjhKHlW#lb-H$a;hOW78sG2rejm2{dAZX5cRTp*h@`&= z`yC^=b@_=^|2$uH`(+md*$qr2!90}y`|NAvk??Dc@$;&Jg4yaXQu*J5h`s>w`dhZ& zFn-AOpXu}83%Y#;(v$x($1fb8K34hvEPCFq%7|Ki-hb2nC-Qpz1NQ6nS0}1zCbyTw zIqCm)L#t~SmjBsR*+T2^Ph!1(qU3(H(h@sJ+q-i(j*tnEduH!dqaI#N^qC5tv8bE`%Cla2J7@tW@gLON;bsVTo` zy*9;1>7jd)kDim>$lj8S_1h^}A6*)95k196@dOlIVv5MSYE^y&`N{nUmQ6W#*_1NK??mBkC(#gc21}zn5kJZ& zN++cwJYBTTU*&(mU#G9`Nev9EJzqY|BOYCX8lH?@xi*%Q%GdDiJB{ug?R z(c!%3xv4^xyELSq-cx?0VBLCoq2i(EX8hW2D4gF1~AH7c(Ket?cQJV#6 z*vBLl`9}OGTqOUJB0{C$x(i8OlMm@r$J6GnvT{j1g-?fnH~E=zlAbA^(}gd(_4TQ} zho145t*s~feO_6`X{RV%l$Wd9(jFz91C~SeXns&hs{_1=#I<(Ja~hk zTk7{w`z4-UczDvSKlzS+<@+4r=UL13kra%=m%#%rzwBQ={M~0~ms?`=4;uLWYYLwT zdfpC|=P6))H_4}h)fWivBos)8hw?k1x>|0`56ZxE`}tv9ujG#$CjeHZfgC#e^%;FnpZb?$N0a%=yA7|9XFlN}$UCayya!Bf@!H2yQ*T#N(xQ zk>gy5h$;iAK2*2y#eRKUCgiSGp!{-uvA4c{uQ5NSvOsX>B3w}ZCejNJ<^B*6_BWtl zw&jn?tD^J!iPrhY%azW*EC^B^$o&VkdyDVJ=Z;ewbe8~mIg7kM0NI1B z{qX#EeEzod#7~JCz5Q{&P{Ze659z)X$oc5{i|Zx&@3TDp0iS=Y>2CnJ8v}VdW&X9h zBE8)eJBWQ6r~q$gYXP5ptLwf`V~icaT$6GYUMB4l`}P`B?G z^NY3p+sYq_zb!qlS8GEq$7v3ETL5`K;iNmcUTBA?Z;bq_=hNHrk0d{}OIm?H19=|9 zmTjTm5u^UE>+{C|x?iAqK1(}C|BL&jSle&9{;*9yFMqzcPHQB%4Uo$(+b>vO!}G7I zpMG2Zk@VjdeA@we`6d6o#qi&mQS;~N*Z!wH_;v(xIpzGi(|jN70J_V7JfC&`bG>T* zvFgv3o~K{uzb!qNU)x`2q`NyX0jPlbZ$~2fpDqaB70B~nj^AK?H0K|E`QiDh{bx7u zy&TB-==o(_e>7fcKmHSmzpef`z1IH~kh>R<`%iry9)GUack}>VPaq$^knPW6zCS?W z^r!RxN~HTfU?Na~oF7`U%10l)_pMtk|MPt76RyJZzCd37<@%s@wVpk3|FN+1v?#hh zxVRc#4ws0W-v&*om$xcxe@_Z$tN%#y4@E@T zK<>X}{p0PA_>r-{t8Tvy1KssNUjCCraT!04l>Qqa_l-bq=Q92EcgYhy7Z~gNY6%37 zx&L9Ce>`7m`225zAU6YfJtfbh_s$F0RK)Z1V{LzF|91=I9tq_6B-@W|_pRIY`(dO1 zqWhn=`s3wN`=3$ZdpD5RAF}?wzW<}~4R#v#ufIRs3c5Riru|d@h3AXj-|{xl-2vo& zQqHf%d9vIupC=I98I6nEft(MGKbZBO*1xU(c)n==_h-@b{L}5nF-Z4aKweJbg?e0k z(|-@-z8A>zkJ>5W-)|^CZ1vCe7i;;AKL6v8J_Wk}aX+5V0)~~Je_y#JW#!i{l@Bji zaF{@FCy0xOfV`i5(hdAvE7*B!o|{Dk9(ERV`v5K;1akg*{F2N6=j)I18)6EeGY%Io z0J)rLVoUX5vkq4L+W3Cc(QiLK47$lc)BohYKKt|9$;Tqj&mRxEM}Z82jl@jv9HD*2 z{P4y;{|O*?1jy}F?ytOZ$CoEctvC9=di-l5=q3Sq`EiPD{3w$C3s?TAT-*15dAp>t zKyt&@*K;|g|C=%5^Ky^wFwP^>^tSSIyOMgv?+M_OKr{a$?XN-fw)}azqW3@CuC@P} z0zsx0D8KA~hK_Trc+_Zr>-OJMpnIAUlplkQ(SI?|v;On_N2L6F2J$`!?rLoAgwC zzu(&GkLx8vAi2(~xY!5e`6u;v$DU)Es}Aw~ae@Q<`tvo=y$R&?glxZz-}Ty(`MEBA zAM%0)`v?SgUdP2;AeU3_uj%!FbB*}}dVi$Zpqm2>02Ks;DCXb)=0V;!fV}@le!BSf zAKrr8D}jkX1#*9j0dDQ=H3!{B`Jd-p>D$lSc)k?K?MIGZUA3|0qKo$O`KNM!bMi;; zfbLx&_mk3pR&Unjnh~3g_Fqe%em>|H04ZMF3J-%TjrLz1^<2KREq?{ZE9n<{3>;?> zkhdRY`>8?k9{+g{a=#B`5ZYe{-`{w;bo*s72$lf3{mb!}0@tVN{dH~i&)Xm5*JIB= zTmIZGwf|j)bmss$G{N`FePQEIWKSP};6otye{%eALvqh)Uzqc6bpORxe&Po<0_ZHq z#R?#=Kc)S83)Rf>Q*`zJN8tN0kn1@~I88$<*xohTA6Wvy3t4`3`^Q#)JYTB%{6B#p zp8|O~k^N8XPr&Qt3O>Cpf1ZEQ%g@V?ZojUA+-rdh_uBax2tin z2FUrOi8@~SKW@ywjlTSI{Y78?xm=Df|2oLM8^}P8KLpSJU+$-`?K1Xv*ZbqH2f+?T zNH+~dj@+HM<^gm5s$M^_0YSF{c{*kJTUB|eoP%kMAM5$A8$q`T$n8XyAMY3We1XqE z_c@UBr}+cLxBapia&H0he5U?`xj#p&_DAiy!qz{UejDW84om$nb@q8KtyA}=H}%%%-77Ku`c=ryEwlPR87F?s3;i5%`SDfVj<2G1^t7&; z*6WjAh(3YR38ZpQ&*|O~jRuXq>d_Yh;=B<{505`LK^&^vV8NYTN{ZVDT+lDIe!MD1 za$UDtFD~=d`vtJRwFK^oe?WNKTCOdPb=|~IzgP6hpriUUAb#ky@FC6drmCmI{-hb(S7)PWk>X$lct~zarz3u8eTn=_5=$y)H=g$&il6Ey9bYf+ zKz4c`5Z?A8XO~2}DE;B~<}HuEt~Bg}_>;V}o><4D8FzeY)khDMD`ABzHVW#`<+CzohRx zcjAQ5ublWfblm#0KapriPR zK0F_W_G&NxQpNgpp;u3`gtHlZD!^!+cNoWWRK; z^{4y`rHkHU{rXp_$oH~Fy3@rN@0SL@kcxd$NDrjnNcKzNv>ZGiNse@bKRpkKbhQCY zSU!&MHa?(yrtn3#zW$-=-`)C`uCL!1c7FXvoAc`jE5j;yeSObg-Q#$#V2nRL7>DOH zeo6Q0alELI*rv=wPkrf*$xokqgHKQG*+jgL&mYb?>CT*0W!b3-#`(q0)q;Xicp6tB zRPRr^>oC8H;#bdW`~0ch7eIu(9VXiWr`i800dzDj!TIR<36xG1y!fn7wr!u1o|XK1 zev>UdPd}AweSUpy=#lGBuFw5FtLJ@l4!aHU-UHFw&%Y!*KNHB?=O^6-q0j4654aS+ z3f4m)xKkDv$v~d}lK#PM_ciai!}z}3$fvhWKQ9*npS~RUrUMy>PGSMp2XejW^?@lM zC=cX%mh<~DKE}&MJwbd@agjz3@}p=i)a~E@`yQ23m7ZEiS7FB&9H0Iy6`@lT$Uy3E zX7B$l-MeOY*!inuXJ>;T6G;9@-OBSzS0;V5-pjiE zy!h@lF4>8C-q0^U=YZ}4ATK}q{BJ5}DwwvPil93e$mOT;t#wBKK0_e5_4qQkYwbVI zLqz8Tc|OPc^P4&S-_QT@bY=Sb%RsuT06EC-OWrShejK3Rg4GrXUdZyJzmHT$ zL^Xgs|K<0^q~-^vS6X9yU(oZTZPOoX`+@6E=U*+zeKC-Sli#=7(7=xlK*IpjA#es zeqPQ`!~Q_L{ObCn4d~hex&6ug@z8(a?MhvL#VWroJx`Zzf7;S>{ps@C0qMRB$UyGT zpvE6|8~Go7{_%35_16&$I{{7m%f%MZUdH!2#f#A*+xaa}odZzTRbGcrl_n$moZU2SKf8BoS1-Y*VayymZ_ox43{m>^j z@%fGZzL$>E8+3hu9GZ&YS*35R(RQQJ{?Y3TuLQwWoKW4#`F%l*A9DN86cjwx^xM*N zyQmyBf1dw3|N0^!11LfHQLe9``NfI(pF4W|svn+T3*>r=7wYjlhW_i|x#RQ)-8Dc4 zq4|}?e13#&{&Bt3@Y6pK2_6LG`BePduR|dBOdwCE++Se#TLW*H`J+1;?>)#E=KJ64 z@O%Q0`&s$@Vc3T$!#>R8`!fcw76|SP#l<*!kRO9hM1?9-R*0v6G3Hn6_U|x+zX8bg zFZ=J?6Pn&U^Jljri?_X?+v{|+I?Wbt{FUjRNH$v`FKwf{!@>}=q zH`{)5oX>9zwh;*K49CR?AlIK9e|Yh$;lCc=V${F7|9%tbZU%BcL-xNsZ2Xb*VXHrG zm%9IGOHcfin7aPD1#*uBa{bBi`!%Cv3-~i*e*mrjSoz!1^L%jx#C2}P#eF~?PVR5| z>njUe)<16SuhHD6zYTO$zIppIUSxXv3;$&Jf9?NbmH&3|zZ=NyCq>My^W)fK_5W#% ze`))>19W!+IZ!)2*T}yNLE&uW=k}xZKL!!q1?2uu?hjjF{THkMh_(Hv<-Z4V-wR9t z0{)=+jk^5Bs{gSN^!@_nm*aOol&jb4jy=ZyZn2KvYX1`i-v@x)eyRPm+pyoFv%d$y z_n`v$OaF`hJ8yr+IzKpFfL+YvZx17)@jzbx%Kii94{-mV86*Gb%a5r)O8-P$Oat<8 zX(IR97{6=o(?5dnj{>><$?>;NYJYkD zysjWNg)4snpZ+mK^dyj{U$!4kvp>+|pnC$y<)r?v+5Xc0t8nti>VKlA=k1Ctf#f<< zaPbt7`(OF}*ZY35GpzkZ^s%P@X+-oakk|jxf7}yVpt`~EpL&14si1oX7zb1!>Ahd^ zZU5QokEcu9-*YN~&I>>@|ALQ?`Rbu7cNz0nE)@vwJdca%KyD{`eLd$NtN)GO|MB*Z zw*MC)_sc-;zoq;aRQ$fpkk5_vskH=xJ1^m429UR(Wcgnk+F)XXQGe?C*EavS{5t<^ z>A7EvUjMxQ((=E8bk7BHIpzL>@%R3GPbGxR^r^7z)h4ND!RAuK!;} z_}3U6ZvKSxM_&i4*+6dpRL}hV{XfrFZGZES?hk;xoJ;?C=B4}2y5*o-7wx#Xw$v%lT(nXI4G<oCZZggvj&*+*D%bYke|i3E z{V##s?*qC0>-G7j|3h%={tGXcTK=VoXc>^}PxfDm`S{U?kb6ym^2_{3`;X@LsbFmd zg8S?1SJMNA%~iOZ-G=?^?{_N@{v#mwGkW}u+jaEiCsO`>48A!)v-~>ehX!yyG0IQ$ z{*T+AuKzy)-&Mdc|9hJ9_bKRB0=fRA{bBrx$NTr2e;KL#$69}^h2Az4sQ-B3tP73* zzQ(^_I*kQ_JL_<B6Ny&?GNalFcIOY-4PIn<_&MM zbZ;rF|0*fedc;!Vgj`Mh>90gb<2Q7lBD`hGgXo?xMI7_mnP(tAN)Nr)>Eh>1)4Es6 zM+%qcR=8#8%WZBXxx@9)uI2X$J&%<^x>AkwrHg7W+_Y$Y)iPqno=Gq5nN$|%=$1n` zl1uAD$pyUzX&o!^4-fBnzvQs^mTs+-xV~hHzpjqf{ib?9$~T%Eb;p=pj-Iqmpoo=UXDzl&5P>Tz@8oOU8Ofx=$DCd}WG1+zu)I>fCJ7tAlmnlyCH$d?fkv+>6GxpY-w-X=2%&)MxLhNb7LR zL;qS|)4X#I$llC#o8&Lb!OqQmB6}pcXgzSa9kF$yA}#FvXJsE+K6Nhk>DSRJePNyK zPNEOzPkMcZ1}1MGoLw>dT=_px{eh|XP0h+Klbw`ZHaj`HT(|6$&T-kPol9h=bx>rE zlU=@po2PEF)4OG#*{M(E`lJ4`^`vFxdChyn)|2kFSxCZ?_s<>qxT!4_J1kRlRWBH?)QT48D;QZLG<%6 zOEdbaf^Gx2p!b~rA9Y@Y-+r?05A%GXdO@!zO+q>-J?fU~t>QZ$JQ;G6eeirf>C$<9 zWM?Wk`PssbXGE`mZWmPVIAP~ClN~8J<#;moJLK}~{Yq{7Q=EUS>DTr{)n)FIWuq$0N@KT{j?=XLT$6N1gtgdjIn)w;$ds(B}=Gh36fC+|JX)o?#9D)&0`L zE;L3>~Rig;cL$n#mAciw)@>y`_4f!`=R)I6N&b16Trbg&NAi5p<;T|kDZiCm(U;#y z^cm3CML?c^ay;xb`(<7Ty2?PFPV&E-jPGd~0>Q2QKaW@IuL>f{1akjF?bz`3T%-?M z{d4}*K9Al1R)yTvfZYE``6q@P=*Px<#_0VgkGFyVJ8S)uz7(Cdzv_sn29Sr7^P#$2 zv8Qh76~=gMBZ1(BIx*+se_BUKpsx=DR4ev^!&N}I{ylneyzVtA$N12+5Q{&dg&3{8h&BaUmXR4 zJN0qVfF3ZcFVyW8V?IGWJhw0Z+<)lu*AV=g0J)uN|Hadl<@0X@y2e1R=XgK=c>NV? z{%QT&<{wYL&VOo`G=u!y{$%}u^E$czsw@z^kp3fj`MF=o@cFlZAZ>w(B$$V?{e$&L z)W7u}=Ub1|65-nbdHpNe|%5p@kakWiKo9Zv2$91 zZ)+gQrEazT@%)d~{uI`uvYX-wx@%49Lr=Oh49xQU6p0BfsJ}?LpT8$U%Ph zDCYjxR{y+Q==!G<65N?5T;0j}Kuf=x&~8J{QKS7>Sx|6W{@nhw{d7S@U4dLq+5hm? z!)`X_^Xu=aw*0yML~s9Ge%=1P9C8l>az828!}dDA&-~ASFxJEB{#SR<^#=0#NBZBc zlUA2#`JFNT)k+|E*m_cW?qRT=nC$ic_Zj`KSoNp#uO}Gx0&+hUh}eH4ISZG6(ff}` z`FAA*q45E3CrKjj!85+P+WFep Rp`LDu7A9|1`m~SgiJU10uQ+$n9Lt zhkHKs+iSF6Gh^iM`1HfU_aTXd ze|kTRyFhn0ke3r_f8O}zp<+9Jc`xL?56D2CSCdiTd`4}*w)w})71?!R$B%UT|9%Mk z5shDhv;Q4qU zZ-2<|m+$?v>BV0kaq0V#qVFXT+<6ce4*_}mDMbYDR_nodx}vW?c=^-$Hx7Is2J-$N z`Oo6}{a^y*o&n@~lIsC3J7>%X4Gy|B@LoX=LAMie@e+`if4QD?^r?r+JiX67lL$Q2 z=QT~j^T|NYKVCSY&wsu4@cv`I@vlcf_au;)6Z!qsYkz-gv|sf6hetv81d!*S?7w>Z z2`n<|zZwF;Pk&ys7qFi$Jse5vl)1`C(grc)HSy zOnzJbB(F-Qw!fE=?wLSd{^a-jQ_U;Bnz+~S-)#hf7gGPa{JesQW&yeVCJ7-A+dH*j z2lxL@Yk}a_{JCGR=hMH6h~ArHvK$Zy8mKJPyCda+W)-^x!(iw{)e<*tmo&?qpyFs z{5t<^<>&1$U4JZr+#ePwzbyY)&&mC|9=~}XbW4G}{7U))_p{ObZRL-Y{$=3%0g&5? zY`;fXk4pI&D}P&h;-|#a_Ol#vuK*?h0m7N2=3nvhAHDrV;%_TI*Q@Toehfj^0eL>j z{g~^usoC(sFWl<+(`SsTZ zJl_c9{!8k4c+C^j4s3VR^3yv_1l`(}A6|ZS`S}bHeGcUIBllC5t>=ylcNyo+Um7)k zo`2f^Yy#iSKyLqX{Nky4d83DKGWL_u?O)sU^L)|vy9Io=0(tqD{8#Px@?jt*hJ6*q zuBc!`5yjp>v7n*`QACuEGy#Jk4=fmaeENLf?4AF)CucVMIh)PX=>GD{|CTv(&YU?@ z@0=M#v=S)WIoYSur==PlFZ&-z~lzH5N8{APyxkx08}5%T{SbgO|f|1^E@`}_Bw zrCypMUGDXNj!^{uv;8Lb=U(UJ&mBZKHXG*(*TA`#rT*Y^FO9om`{q33@BH|#c6T=Y z);9u_SpMB)k7O6x?#)k8cyoR$owrNjJe=2=fp8R01b&S*)%D-S4@}KcJ-=D?a>EUo z>iEI)KHP774RzbUm-M^h^ymH~!L;4vL53rRQ``b9PAQ1;3~|A^6qAb6tLeAJOL~JtsE! z%+j!~6+WugopRTpj_WevM_vu|wj3Ftqvynr^TF6b@^Hat{_`k*=^Wah66_#;TJBvv zYK8viMz5^DWOnj%-ui)~52&Rs3J#*BeDmPX&+>Y~kH$wip})I%PX59~PjpCkjOg;A zr(9*|C|p$C5_hk@nVyrrh>pV5106l5_MYzZVBhr-j^69`KKRi+#mD$Se0zj9>nh_v zULEDfwj=TvPCSSB!S^oMb>)bt($4nRe0x-`>Kh!eT?ggG=AW1jV`n+)v(52eEp#-I78x- zk9`d4fPYk(^g*5&mp|H9KAyVKF+Go{j`3|Wde=)hKUvzlovwVf=>8WUe|Eq6Xg}C~jGpOU zpCcbAmhPjdfBAmjpkTASCLigZ!^w0~dMocd;)9-Qcky55Kc1ug$KOxzAAjG)fBa0N zn1u6)C&lNlUi!)Z5$_Eo`j5B5`wS5-Q!SkMYvU^#miV!<&kN2_bW8o>0z8oY-#k_N z?lC7#Ja3ykPb+p*IDW|lT_d3Er{<|^S9X8uxq8L&JX$q0q^Efy*}p<$UKv zM^LBibC1tc&B61!KxsehzfIvxu=WbU|KL1gKF^fw%+T@p)iwW}F(0@dh>#DOK+wPFJVOhE9TJ=?<=ENtki>&z%K2K;5 zgxwP;^{n$R*pK{KYyRTEu>Nw*KdPq;n>GsU($2rV5E0Ff$#RnXJo(Dv@0$K}>knyv zTz@r2LYh#51h!YRwlq5K-c`j3`A5NA(Me*X8%K-#%_OVY}a-1de0Tv5Ic@$3;h=OlO{& zGi7I;7WHlaA3hJXHRw73Wj^PrNn_(X9B#1sPh5W<0J=8i^3PPG?lAMuxp;4&t)g33 z{ZT*D(DC=P0})YMim)td|BvE3R$l(xw8hr?ujYz^x$>8KVf$}~h}r{X|AFgYng3jW zRg8b?yIHw z@8LjM{!0DgbAP@v>$cDR#%1*q8=&acwfsoEa{D(F5uFT_MiHqd~U|I2la$DaIwHGWFB|Hk#_G2nMBQ1;V!{2=YJ zi9+x{ZTyf$38$sU$zDEjslEP~{qK%P&=Y{Noy${2X#ec=Q+~SU zzl@jrzoWqSM4(KkE~mkFlf?5(Q{^wqKj*)z{KU_Q$^9Q!ddZ*bpHqQ?g)*qFpf7kp=X1`;Q?%RM; z&wBl1_jc93Kly9_Lc9;4_%ubgXW`;1pyZRMhGg$NY0KH)`^|_Tz(HaCeKww736%QJ zQ)BOaeZ%hs-&^aydH>>bKu7XP{<{5oB)$Oh8*BYsHw7~9TwII=O8d!F<~-TYEdRR} zA-${qrCz;|{ygx#04Uo(EkDkKk$Pzw(vJh(`9Nu>|D67pOc&R`7a`r30j2&jRq(j@ zUsnH}zh7Jox=VpF|MOHyy!qaJtF?ZX&qE#$x=Vnv{il4k_g^kh2=3heO8epZw_^5} zEUlAwdje4QpG$o@4?GX=4RHN) zHJ)Dsl=iFjjQ)enf7ZWi{wI^aV)U&4Ya#c|KxzNF{@JkR>ht?;wf1l764w9Mfo>vD z_R~;)E5ZLv=0Drt_27FGFbilv_n&p?kFQ^s&zma>b^|VM1WNm-`qv)+SDyV!zk3xJUlnjm7dj(by3o{T&GVC{W6&=dXhOyEpi4D9!+R{mh+s z{xDG5x$Zw4ddJe&=dH5VpY#g(-vzqKK$(8M{(t@tjh_4PBWwJBkV0_h{FC($*B?_5 z(cM5<&UE>^t7i2ja~4?syIs@d&-QZ<_)Z7P`bYZ@VgIXqyf?t}kN4vFRG=&;dj55g z+5fq|pzoyU_C8$P50vGH&tsSIa{c96e$#C~Bt7fz0m%IzB}iZwBLqI7f)xU|~FNofie=_@ZrI&I=RAuph1QE>u%JQSjfACvoeLqZn z|EhHDPu5FpzmGxgr-8QoMf+#oGIY=;IsS|B{wt4z?kS+mC!K!yFUoq2?dJ*5JqeU@ z>hhap{szI*uKy}#KV1G?>1DmvT#@|G;Np3p)RWfV_54wAzT|pKe@zvFdoSbS6?#w>l~S=J z`*%{XipkIY4_A6=f1H1FAjoS#yZ%bH|7cZ_{|yMT04VcM_doCcq(}B?@B4d@z;P_& zzd9Gs-v-L`>-p1jW>lM7V}!GV`h_Z<|3#4dJ)pD`t-ttj-g_^$ z*3Y(A2=2|p#XCTmeyTsWS^m>(f3Ef`^Ofy?KKQ;1OlbeA`2Gd1>6i6t8-?UL*Wa@L z**2t4?!WoIlmBMmC-X(N8n{>ESI&5^hPq4>P~gYUF-E-(9uQn+OP zgXa9nYB&!xY!||K4gVUrr}xzUMnFgRXxC#k!|=@lhbr=8tc~Yn{}K3mad=*kgjzTkG!y<>)!}cLiFhKR|EZz#68sG*K7&+l$iFZxGERXkfd=OSM6drKxC^C9_ybOh(q)`VXur`w!|N^-D#hA+hnj8(^Z&6GaU zKiyOK5}cz=dbH)t$2qliAx{SM!to3Z*8PJ{pX+MmiQ=5;`nc!k<~`Y2zB2Zd$p3+N z3ucWQT~D1dwnx^#PR2R2ACr7hb?E2=9)9y$(nCJ{b?KhY4bD}@y*w9wr=(AcCj!6B zx}n@gK90xSb9i%~n4WV2N631}zxpVjRK6&^6i+_NJMLo?ABQ_EFi4goSYEb;=n3<~ zbBT?8aCnm2JkL_*p7SlJmPgcAn}dB@^PnG&SJG2HQhG?giE3vse$~srKdkq*weq~k zSf7xd(whr<*{{n{;|uSrcIhiCt^Ef5ke>SIbwD2h8YuOT2pXK_*7q8o@1%ZIHt3}O zO8sSDjQnm?(K_pUE3elfezgQ&-01bv)ZZsQ=1o&Y!Cm`%QZH0K-TggCPlj(n$e;S> zIS`2M&8^P=f5?21On>t*{jT~aJ2!ga`GzR;M)ToPe>rNBUM+px?JJVbSJnf49+2$N z-0JcloLBU=HC{^nyhvHD8z``I9xq7yqkg03(RYMh5TOjm{uYuy^()-%SH{cyUGqmR?m%fLrGA@Wzv>m%d}B+6;A!ih<}vm} zgi?Og-`>Ks*Zau)WBX|czKwuXADY`tWpJ70FVG;YzxM*&-ayHR=o7zpkUdl^|ErGu zHAcFd0B!xnR?pBLU#}*uKU~vK?W|$L_5VKL+Z1TmU*@s>y`RgED}Tx_6JP4(HyM3% z$lb17`Sp6ItkZuzb@*nV%4ra+%=eakLDv>2>tDTJ>*S$_?DyCz>w7KtKU#q90HBmp z_j|G58r72~7_ax+4|J`8vYpc7klcs-Z7tsPshu#vx`ySaCFoiK6YOWmZw=00^P*LM z@p={4{F8cVtH91H#KrzVnSQ-qALqr(bfw;Y$$FK>4esqn1_^9X(XDIxWxCjY+aRI? zfwG)&{VVIWXqbPl{H6SVe*Kj!{q2$N4nUbt+Wv#zGV6O8jUV0fPx4Q_{*n4)`c9CW zzWd1h)9WRUoH*{DufF!5MmUq4^TPb=jOTrUQcmqJchKI8|8wS-{`j)=W%jG-g6F+} za-5K(qQma_q|qt%e$iZibOl{^pe+B|UnTfnwc0wbp}j(I?;u=s14=#V@{98_Wxl3f zer@|F{;u{f^~(0&0}=J42+Lxuhobd1QZGDyGXq?`1PXLAo%(xa@8Sh*TfA(wzs)Il z+Wj}z^vn9QX`1}QCZe=6PwQ0Ba(gYkSgP^L3ed7tf`*=qC-pTY&f^m$1Lp5QNO_rFViIAp}c&fBc^ zo4*&j=D)OmPX8eg&XZyk6{Z5DW#%eAeYJ{)^4G z#*e(--&OyzUE}&|Sir#ZjsVK?uj|=H@ejVXzasnFyYiR$&-J$}z0?cWUq?aiqk%G= z(4SXz?Pmn!J{~B`U#UOq_{>Qc9=lzxw^c_d1ow`?#j!wH|LFZbg7pSlt^QZ){b#9v z&cEZpcO+2eGxdL~uKrJe+?NB(x1Vi3jW12GVG6;$QMeH83%%6mWe1mf{=5M_3s9No z`uapXKLsfBU#~X`=C41u@{jlXItg?q17-QG`t@hU%0IV%ry<>AfSEu8nX2T1*iGlP z`_vl0cUKhbbX=SXl=e&dE4JoedHgmSbZ3-HufKo%L*~zA`Dgu~g>+vG%mNzFMh z+?u8R?dALh&p(`v@MFuRFZGMImtNAo-+Na3*-jz2cMdMj1!mBT0ChhD`j^kS{z}*W zDn{=q67xJ%PZ zqNO4>7vka~;NPwPHy(0d29))8Uf6$@>F4?HOF(xiP?j^jUK{HLWxJGa`_1|9nt!rh z<^H=Xy-XMLzXIvL7bx2=J^vB-yKj--kG+1O{ap#Vn}Jf!Jhd#?Z+462@5BB=SAp&( zpq+mO?_4$ho})jp=1=(hPYiTd10}Rk1rtxyTkx;7>aPxp!lkRfYY@?mKv~b}`76x- z$aL|3aT7py15k$3{SWMSBKwtmUeC3lyACMxS+5rzP-pq%;U8J^C#mn(Dea%@kBQ)W zJy3xD{%-Co`@C_s--_j51ai60f69F2_M>9_)0Ln3-vWi-4wQ20{RZ@ICymbEny`KX z!M$5?aT`$9|D>m?JARl1x$mF^l||itt6-tu8ms+mt|(Z#`FAHGx(8^NzoI`_e{dJ* z?gq;GH#6)%$@Yu=H70{@3Q#~;{^nZqM+J()rJH_Ndf6^C{L}f%eBttU9~5yvP})C@ zpR2C^9)R2r0%iFx^@r4)c-)PTZI$PRl{v4@HUE<7ZyNYM3=}~9=PQe)zp!4vM&Ta9 z#dM(5e{z2%qOX|zTz|UKC$ry2Ajoq-yZtWmpZ|Q~wheOrAvQ4VKg|H$(?D7Nb^r6O zqb@sd^(U6UD}Vof6m*XPWj{gt%Ln__F0<3%>v4HPPc!-_+hr?@7F>hxU>BxvmaOe z+4?8`FXCc0P?op+=LT7R9VzA~rRBi4Rf2PtAR2N$oEORw!G`2GFY zuhm8R40KX-I~Nyk(gT6MDhkdk-f7LBrapfm?Z;EZ#@TJcffZ(&@TTpe z=&WMh3Rm5~ZL!t=;rZ)@AoxHMnmhgdC)Q{E!qvae`=8DKECSyT%jMrr#RC1kns)yy zS^j?nzKemf{?_)7{idZ|^8Asj{m6E?wW8!M!NpQ~P!{!h1Ln5s*1yXk?+T!_U#-93 zx6rCT`TLWr{$#vd|GCm9%YRpTS$}c)ccqv4&;5tw{>mS_`zs$)TRr(>s~TtiCj!&<9@)!S=)yIr^?qxbR^atOZ3;45d{Di;vP5yYGE5Z4+6i=w<@I8e${>+{- z{($5U&G97jGhWzh*B2*U$LFV-_^3W6z7!AjKeE8zmWR%zrRRiXcXS_B-|ljP{;L(n zb8+yisf<5tL_Hde^C)~I$vL25z9Sx6UZSV=iTdwEm#vu-%?uz z?yPfi5svb`F7Amx#Y^d+bVYIgB;+e1IipBNVt6n3+3`lzyp_-Wa^fA?kh>oE6CVms z@sm8+CS2&3PVbY2&sW2Do^kEx)5wnKyx@Ps{>lDWpU)p0_ZY3I^k(V$B+o3%FPP+@ z@SGoHS0=p_j_jDi)AJnYi}HbQa9AOmtBRL|fZt&xKBM-?z z>1BHJp5%*Ke#S&c?`^sW(m`?q%bfpf;-~jSk9;mCT=ci1y82HUI>;N1CiSD9QgB$U z?88uRdGlxTgC>4tPjnwqeS#m|6XqwJzboa=Lq61pTuf)`JH976@|OXiMF;i#?0V|M?zhg`urjL1kA3?k)BbhIG}3Q= z!g;`EUjuqi=^{I&dy*@8I*cAF&p-Oxg6{|aW&Y9e^JJGN_(v~y@sGa9D8kDC8pu&k z#@DAd{_zjblieS5H3WU8Dq6YQoaSHd^sg%Wyy$dAx72THiU*RvrZ0+Dz?=O}L=Z>4 zK9BlKnRrfo>A87~`N^@He3H*RAEH3!JikP88alEs&&xtY`%r{sG1gxd`3r}vJ8``{ z57rwT%1`65e9%cgdVTRqb<+De>->F1yga{5;{lpKAbptNnQB(+SK|^`>$BLufyNEF zh+pbY&rjz4v~lLb#R=zeP`GT+)d7+`=C;&d8|-UfpU2l!A-G5L0XcX;@tIqy*Q@UM z!nJ=*_G!}9Kq0x#_9y9^g!EBFR3B*TFLvsXmWR$=YR%8{{Bk|eiIAAUyw3?X}{E;^}J?CNDH8yf8O5l-x6zn@4%3M zbI?)yEYnHjJ$ro(_a7=&e%SugrQZ+o7Xk&u1}SgLF-@O*%KpB~{(UV$&f%YM- z(@&rM#TLH+?+px4bbAmkx&dW5BR$Wx^q2a6&@x|A*T0mD>yI9g`(U6fCwhHm?T_y} zVDGKg_szZv!97gyg%!GNej zuzzGPgzpWMj+hj;Q7qo1w2(dz#chUNbd&W>cgS>0@{?@4|9Ddnen&GQZe-yuLbe$)OLRouU7DC9mG zDASpz3UHpa)GLp_hJo$~poI2%e~|d^V{818uKv0HJ`xO%0!sOH{}uj0vRrWe<7$60 zUgqygFWawl+kd7Xfpi}SwEOSHN8Hfy^5555<(K>a$AIowpk4lp&Nb&@$@v?ee{xN~ z)PEBNcFygG)IYa>BN5T@Kq)7+fA;u|>0RZQ{8P{WWb~sT_o+Y`PW$K1Tyn?mhi!;um95^_vt{p{$6&TZa^OR zOrA&Mbyf)OY`@Yj3qtzQi0C|^tS8X^7H_rAQ{evF8K4^r6cFpAM!j{^(%h>*vHE{p ze$NEK*+7|pdVPPeKbd`=2e-dtKz9~U)*pGwJg&O)|K~vNbAhs)X!+58%Y0$`|Fh~3 zS^hle)xG~E<>&Te9MXLu(9VCVKcxL~{c%3%E-06t{0pjX{p*^4Qh%KP7bD%T0HvPt z)TmZ<8g{Akg?|y=2cSlW{qOO3{sd6+(fc#K)#3bSUfSkUKR*aoG%}>W1a!9mrTyyq zclbrub-ZA!PxCW|{z!%3-le#>f*zE`nD);N=1(_S?N3id!7jta~fz3@COX}_#L zSN+R&G2Ql;%g>dN`+A_%zdq0A<_uJ6SAp(Ypwz$KU*?XsB^QiYk}&?K z^u$0n0VwT9*Z-)0!E<`oAdu`v>XY zmA}l_0tI%??LYA|bZoyjAfg+Avi#`v^>>={Fy(XZzq`sW?T6d%o51&GVEOiApJ$!= z_)W%}dihUAe=FpE1SmkC$Lj4qbWpe&6 z)-R;L9dwg`vj2$ouXvGFe<+3EY1_{oi0A>Jv=eRrS^I69{^)|F=L6gcx+y?uC)z); z*H4W;tv%1`|MK|bF3?Q|%KA&UKUKW{bT{O_2Po?qoqxf4xY^eJfL#@Wr=5TIBBH54 zIeypt+aB4bhB*|{~*g%%ar*`y>R}y=D)PR<{|%CkoyIo zfcW~eEA{7_Ti>(hZwf1$|2m$(36yrC%YU$bY@Jnq^Zqt(fNm~OK&-1WjyzSj{c_d6)C<=?ZzI9W zfVTa|rkvDlw`&&5^%r`77s}5f(9HwVb91Z5e|-+m?|b+vc^NOO)l}SzuHdk0>YJVM z-|zm+hv!cGZjXQC{9-zf_%|Qf8PZcc^nAw6tzX~%NOio=0EYE)cpn_ceI13Xf#+W6 z?<&tZW_shlTr-Tv_}?+T7yKePUzo}R)6;v2IZEC~l{ud@3+J3NKNF7P_0)OM?r+tu zSxdcocKm=;^0yA_G4<1r@n0?V?hW30jApIjIG@^PMO?F9ax{(Oc0tEqy|#Q9lx zPx(gtBPuwCI;ST5a&^Bj_|Z71I^-w)kRCD+j^i7S3IlA^S!%O7%=h(3d!95!9pB`)e z&cr9y_>IK#0pa+E!c+f5j-Sac7FzS~-9mbjH%r8io1(s|!7Yb;k=cHpwSK0HqTsIm zCmDa!ke>RRIfzh(%T#mbuloF_njcu>7vA460y-LZNqT)gS^RjM`a3xoa1miQTE;^Xh&m$-h9!nyL7=?cd!&gEa) zC6~W+`R|Q{bOOqHRO>%DUvg*C{U4}ZYXW+z$IWf2-(vrpz8JTnSnlr}>#GplE5Jo# zpwv^TKPk!iutZ<6^m{5*dRhOl{p^E?ngeC}_4(kz{MSagzp~d$A-LBR7tMf@4~+*F zTJ2xz{$tYqQ?LJJzOerGh1~5aL1j_(R|Q}8)*d)(t@RV!e`$g6?SQiV$Wv|lp7?&# z3zk{^A3k4WKhPDHe|9ZD)K4??T>l>czHNchezpEEe=DE!_vbdCI}j+_ud3hvy6P_j=`&Dy^>+uv z+Yu=Btmn_+|0DZ<`QiAXV)AqU$(3H#AKdKkVx*RU6KaM~|M*?e7!~yF5Ki2Qd`YZMEuS{2gA~xyj|7b)s3MlPQ z%a8t_?AP=8*26(J0x0uY>p%D{wB`@n;CV&ukL~vu!@xThDD|)T2m7DAZLQzq{%^Ya zI}UtD0<(YywEpU5J#gOsFIxM*q+b6>`)R6(&GEQ6fgY5_xc|UEWc`J-E6)Fukls^) z(th>&l|}LMd6ruF&+}&|gYFcdY$vq+Bq_fLUcve!_4+g2@-OLm{@`>ZK{Uyd3d z%zx~#`mans8g$gZkao)ZuVj$I0<668Q^m?J+m9=KGWpL!x}E^a_DlOuUa|Y$OK<;L z?!Q&W|M6_lT?3T*)BUFl`V@XXV!Kb{qac_Xt`IytANhPdkojEdm&B)Up8eeNpV9RK ze&+(m0;T-g{)69!g!wB3ceejz`a2I1jRR&=!~yF0wkr-j{Ad2mu5CA3G z?|G{Dmy>T>@%0+%zv{97>rJ4W0+e<}^FM2>_2>P=^xq7+TY$2hYX64=;wKWUu)aSW zq!7G<>F4~r6%kDW%Jx^UpO5c<|MWs@{HyCF{B8r@4wU-S`=4O_h15$Eh2YNe%l0on zO?obWcR-NIK-vG+{-ZcwQ`&XwkpG>ay9+4$ubBv!IDblZ?ppq2`Z@nx>4~2aGxh$5 z%-7~fm*?G$bl(TG^{1LYf5EwGowa{Mhmigr(A^7^d{}=n{hWV)R{Ev>SpWA!?gxRg z{nX|E#G(2N!~*O40e^p(3c3e?viwo{=UVN58-?J`xzkJ6MyRZPnP~CA@EZ`+0N+tyVKo0pK7ziYQH)v1g~KEVf{Ugh@Jt;a-#WXJ^tO` z&hJ~}53c`Q^Iz6~tiNZ$cP22Q{=xqBvR&fw&vT%A9w@`<@|R@&4CSY*{4!tCZNF2m zzhu42?bi!P_d=l5vrhlk`yQEf@@GDMr!~QjRtWCBh>Q6^$tO>htnX0#+Tbnz?nDsB zSg)}EHyh7i0ZKjT{@16w54(7dy?-8me|QOWF9T)%>GtCf*1x*upDcgr<{#HzuR`uQ zKmpo+e^hV~Ua?hv+bas^D!n+PLXh`> zG91m{qa{ffmKOngG5iXVjrTxA?>$8NWTIRtprN`y8KPeUOsWD zz5cyrNbhPtvi{@pw+ehe1_}tz-%6~1DV!^RX&0%NKPf-g-)kVq2B6flZa*6Bp;rLE zXYJq9O_BU-aq$UI>R*q)g88e@tnc5vesmq^)&pfb$M!GFC9j`z)t^j1_kUdJ)75{v z^ir=peoF5DzR}75J@A9QDO+`Kws6=r-KydIQ$219en0rZ=d0Vl!+nWw&V~KK54t4{ zfA*UNj+{UE=6uyezityxXsPzc2V@1F5};DkDdA^}wbd9`E#KH5D8; zy<0VeBRUFC=WkPbDE^G3={0;QJe^xyD?yH9f?u{W=atvQ`+WFglN=OJhDA@$Nlzp% z^%tprizs!@$W7G_&INsrid<6=|5KL)2R}#D58al2-)(74_!rkm;A8x($=^MZuQ_)& z0=ppk97ZGYVhgoBbu~hw^XLZp)o-tB-vVC>-(U^zHiMr0WV#si$5#r%m4;U*@X# zE&zw^6IF)3HsWJB&AuL_rwGpb=KEl~>%Ezu*bgB*N1XW^y|CQL^km{8{j)qT{8VSm zr?ZG(RGEDd=sqv$`R$9ww9s3pP`G^TXF~UoFP12mX>aIx9?s>adt1LGXXW|VM_TaB*^febocWXg72X>dAI^_u;Q2tH>>p;TNYBX9BR=}t zr*$Afumav6p2FvWUiQOE{qa+;9X0mHFa05SAAmYu(Jh6qg9o+fMS$ABU$3srTeZsi zKHD{vpVFHHx`;(z66|mHruBV@*9T@HJoUdwALcRjlal-Q(R@<26_2^ign#ba*7~}J zq5LGTOgAFa`{qtu}xp>4ui_@N8miEi} zN8dg6kc@HHBdLEr1$P}E+j=GXJ#o>H9+bscA7yTrS@Y98zf&>(9^&=9y})m8Al2jM zmgVRwa4aG`=`ObK-O!m6@sU&{}za7KOpJV+-mu;K3e8W zQ-$Ep{AIjcf44+Lt$;HBbo~qe2>HB;Lh!WtyOuxME^z&~KLlw5l;vN`kN%5%-ZqrK zHRuii%6d-MGmYXqG^W45kko&=^@o-VzXO47fznQNIP5Pj`hf~TE-?GRCWpiHM; zUy1YCWw~lmY5ZO7N9v_{$iE}x?gEtguh$1)e=Hhbm|#49=mfgXK&fZFKXouqFx%SS zhrjQ-$}i((`CaK{zHs?>rI&hP`=xaoJ&=9@`h36X!Twx3t?>`f?{@=1cc3h%G@tZO zYrj+1zsx@_|2?6%en45yGF9+6_NCQ-9)^OuU*VUHj<+zI}nR zoa+6((f-N$pY6w$zw8&#{FuA^QZJl;2Se`u<;qX<2kDhKPm(rJnPYH{q0LkC^)dJ02)N?~mgh z)coNIC7)XB3pyzZcN{K80%bpk)_1>a%^y^q`u_yTeG*XGPmY=%?C-zEYJYkBF$#1i z0%iR{?XNxmSfCKxx&D&za{c9MKgsA%h9IW^rTvupMRE7o+gDigr%h9qKbifW3cjPu z<*(P5#J8tyw7{|--k;+%(47vH{ftay9?!Meut(47O6{YRbu z!TttS_k5qRko!EK?7x@#m9@XI)T^h!&bj`O^wh8Lyz>#!qd-}Hbo*U;>y+0X-QiRI z2Ek&dDFpY(F0Q}>+5YSAXSe)T z&gqxwY98{x7!h3xlwmJdxmNvOpb*?y|I+@r|Kgf{nSWe=UI{^_0%baN{qyowebz7BX3byo z{%BW$?gpT&e=^mw{i|QU>5J{sKRMP*A-EUA#q~g`KkXlY{mrFa@%+=(pqmJke|c8`=1Fwigz3Kr>AoK*^Iw;r!{ZKio2~H!m;ZY~cOOvlDfMao zPL?a??<&8PEA{kC`qcF=u>MQ7OT7N;LC{SD3W)n>+*Pysk~s^k z{s;HJT=ggAPhJ1ATyXs{9Rkk)%Kn2cKf(TjE3EMkx8Dzg?h&A@zjXfr`-|KBDL-A) zFYU640=qx0|3>l}zO4VpAjm5~nNK-t)b^WJe%-UV z?`y5~n{5Bjfo>L1+Nmx-!7usv<9X1{1j_QK>z{JJpRoP8=AX3R%Bw$J`AfZU`|~2w zJsT*)WvUXiU-CKAyYiRm_Y~N9FX7^4ptSR7=pQZZI$ixU|BA`a`S&X1UIdhSir2sM z_WAGa>*e{@W%d`F1G*1@0^;Y}{C@Ze?_B+$m_b++F$En zMSNbz#T!6bPigzd`Npzba{t{`e{%fVBIG|8eBT5L2>mOoZvXjh2)s}TPB&eYx%$K! zfARU$MF=_%DD|wzzt3)%bJ7oMtnpVTh2Rxzf7$-uK}7EZW&NkeU#E=u?+q_4x4vI= z2*+>pLAL-X%dfVd599mu&a}pFtrdbN_}5GO%}Mh8Iui1CwLe*ZaQa>8W&OqF-<4jD zpV7`y%pZ}2bO+x*<@|XJK`u9U*`5NYp6r#HtMo?O$PinfA*UMKk~2r0e-Q3Z{#TPjsF$-8;14; zIZJ$V{_pQNhdR-p(8Lo_#;-6_?bhkUE04aJ&OP?jo`FNwZ@%#>Wq-}``O>--DkpUA zwJjIfK}5w*&93!brV5V3J+}tru7Pt`vy|~Grv9i0zp*TYv;9GdFUN2E;%Xy2J?HbO zP5Q}ixMmoyc^*+FA2M)WE5%Pp@zFWAwLnku(R&I{{U6c?$wlEkoOev|5IxNs64H6I zb-<6F)4AQX%p9X9=Z`;-!8r(?1eFwtSHtj`dG^G3cp7N5?n9%vFQW zy>#W&O*vNn5Fhey&V{_hm)=J~$8rSAKeymM^iL%HQ8>EKSF5LwU%#bgRPBhnxo#&v z>O?(Ce{{;165ro(SC1WcMOFOt>(8f=oY|p%&3W3HC@0Cv5%DAWA}S|v0FA1Rqi(u< zb)DSsJZm}!*yvHWcfpU&Ddv0goYG10=Hp!NY&AakMc_|Lc0_t5KXbY#y;D5&ocy3O zl;KCuNk37f+x8E(`G*~br__hCKNJ8;m= zv(AGixkyex|AFU3c*4=)jE8^#)cOop-Qd<9Va&AMBTyo6-4$ zNAGgTh>^Qy{$>8H@$;jkwbs|}R>d%Zq?czgr9r>*ZZZ54uh z6h7OE$J}cE*#D5^G|zc`O$2ncfC99CYjLpuWukv9g{xTql~m?w*Kfj^;>iCfbzlIQa{ZeA5;DE=gFTe{ZYtWA4uha@?B80>LXdzd-$Bcl(p&kJ|P0>GwcF_5?~kTz;sYGr^iF1b0rq%oi?y z4H3~^K)d{!jZ@}X-v?74-^=osy8fm7T>mwK+)aQ|PkMicp#Iz{*T;AR6oPvNxM&QN z>8F0|b}Rj2Dv%-5)5RsJ|M1c8}YKzqZ-(PdzxCpK1z%R)P>WdVaIy zs>12lU0>`MlzkuTr|7mBE}8>n{h6u8KR0c!j85CE^$E>Gde`0x0`2@WkL~`8rx4t^{!J!-y6JBRLD~bQ{QCUsC!dO*UHXyLf9aaC{L+58 z{_g<3-GH+E>+b^xZ@x7D`K8wS*7l+ObOc=&pzLR6D(_Ccyn5PVYkr=;Pj>=cXP}f* zx1TtFQO3*Pr_#r;1J_so7gvx1R|A)f4@|Wem^4g#7kh>31K+(aWe}in7 zdHmG_1igVW9JRlR-^VHaKIjxs_8+zV1iys|?KgrumtUzrF8@6dQ7@pBpZHhZ`lDj@ zLw4!j|E2sgYU294AM|!GP}X1i`(71aU+${EWa&Qy>Ao5$>o2`ND1Sxae+#zD^Bbp+ z3hU2-pgX2q`ci*vw{H)eyYE(cenIRQh2Y+yxHuXp^{@8_cx?27-fOm4--p@1ZV>2> z0A>LVX#XkQct@6zVNpRweNa8>G(5U{SN`(!+{C?pWylP*8WKB zpYF<^=9vtemI~|=&X1P*=krUYT~wX#%SR$1M^S>xVocA|Rq^$;!y)g8vT}#l?Nrcx zX!M1(zCYdm1GgWp_9NRL9zPrlSx*Dn?a!p4CrxKQ1;XG{B!W3WVu!T zcz?7LKsO2~)33)LNzT7UaOd`4)=S)ex#pitR|`e_Pr}8?KwEx={;#BO9@4w=m-dr- z`z`CAKi~eP{<-{|4!w;AN;p8*KQm$@yRMPvN5%%EtUt*=64IXmh8F>)p0s~pu)oeq zYkgb)kp4{2jRDGWg7(kSr`Hb6+GMRy(e)~RuK6$RhsPghA)X6?*%WbrdVQeYMR-f+ zP1gEW-XG{}gdYo(?Z4iiEWSO&ee108TT_ML;rY?$;(@GxbpQW<(tfc0xav>lKbQaW zAom48S^w$pZ%O9=DgEPcaXwJylb3XT8PTUJzbn10KT_A9EElQQKT`k9|6(ZOQlPZo zOy$*!|K?fcr-vf_jmO0$<b4iG{xkRA zUHQv)iNF6`0lqPyEdP4{e)RvPU32-r5_DGqW&Owd14;XfCqj~#pR?vu0UTk|hGe^)X7O%&KU%P;ef^Zy1!bTd$nzjXOIbx6xY z=PtGUvsnHcL3a~S>M2io*xy0gb?WG;~y zm-gT3i~iZDlNEw{x8dS3pwv^I+MYl6fotyhUamihv46qspqmV|?SJg_+x_`Jd}Gaj zAEXf6n}mzIfKpF7|AJrQ{%92L4$$2R6cG21K>H!n#r-eW{F8cR`>hy#<+Z<4kl_18 z!f_MR`%9Nz(!Sp=pIP-+J4M0o#>IU=S^h}>%dGl?zrWrCx_g1LozeYQ=wFtfsxyD$ zntx<(CYfA*ry|{t0A)J${M(%;6#nww3akIl`!hTMx(9)h5Bs;v_P@D8@Cw$yEdMk_ z^e{yzuuJIQF3WXOMZq4z#dM%7XS)6let-Y@cbTpNq|5VWm;`!{0wwfP=DxE1D>?rv zX20BjdmI8k0hIMzsoy#CoWco1zqR_W9g!~g{)@D0=Km!4&Ia1$r>Nf2%a<+s%$k2{ z7tVh@1-j>fvYhDo+rU4q*eZX83cDmv|&xG8wfKpDq{!V{=K6vvYtN+IJhpYWcyWsZw1@L_lD92xH*Kvd2t1P{Dw4&SBa4{Ds%dgJ=v*zu3*1Xkz0TINp%=)R<@%#;-v>z(} ziQlhDepmfT`{nx2m7e$+F}eJ`3AvX6vw;Tm_rpnDns@l#n*S`bzwBEGzZfX%AHBcT z_H~Qicy@8p^+#`m?jxYopYA_K_41z=7Fg?#`1?f>=;i^X{QCPr$EmN(>Gh7aeu&2p z>FVzt@O=*`AnsqB`;fn_#hcdtrd<_&5A3! z4SUJjU$>K@WWJA!Mf9L7#yW@VPh`1lqA1uxTzmkOcAjj1ugWVwuJ$AAU#|aL>1Fxn z_RE!CmJ9B`xYA3#a{aLcdS42ZDdvf6Ve%On+>DuJlqa?tia?-0OkTe)afy=Sf@6{&a=ae&~J)ey;qb zUR#9ppCF!Mpgn&Q`*8h^(wg@E3_O3o0d$`N1?c+I+$Zj@NacAW2sQ~q-01nASQ7s! zqIXTdw9C}XKk+k?rJn!E=r<#&TY)nFb^TSx?C&g}H&F=geTIuI^q?%py8dJ4uVlYE z_573Hg{h_`9 z-Pb^AC)$3dowK;^&8w{a)p-5vm!SI!DEm2@9_yc_UeaxUQZGN1TYkCy`v&PQ0ZKd5 z{r})s+4Eni_aBngAIbOk_||EEk6?M!W3|+yJ0`sI#oaZ+{Uat8#!u2N^$!RROE4@iWzu`OSeF^lIf$)iXIqa)<2Y>Z0y{COPs+(jYr*)aO333|jEqx%T< z6R3gr6ff<^k&*Cxz@1I?AK3+kFY#C2(Y^ZNJLo>g+Gimf`_>R&PG7JM?{0N0K9o-C zFXpRG!H?)^AB-%V56^mhCfJvq?8e@=g82r?7?5r4r$F)(f4XNn6Mv#!E~^zk;hw_t zelI~eKa$dC#~U%j{DyT+`eU`Bhp4(>d0(v>%6E!4s!Y9*hjK>o5wgA>-M90l*UYG^ z^deCGS6jUmH;aK3PxAcrf?tVm_IV+B@}Q@Bp?oGB^OJVUe9XQ4@QW(i@5b04rGw)!`9b%Dq(@2* z-A7TMCC2mXl73g5J|j=<9sKeV_CFy$W*;1)&sUE>7XPtcUX7dGCzLO?Jo&Ku`hRFw zhF`v-@@no&{QO`8ncC2cy}u2YSCZEt%SZ86*8V5$v#ag?m+gO2Tkn7JdBXlDpS$dT zGTtb{s{u5i*Z;)#KY8XS|6B1qasQJ}c%LD{Wvc$WwfN=LSHAKmlzm=shN9c*xY!#= z_vTjne}DMX?>CL!>USrCIO_d%sXvy9=X(OB{F$mWn19~r?}PUN==H-yPvP_NzINGg zUXEH8uYQ+*EZ47i{X+UIgs%^zc+IW$|5idD&o97fAXrx0z}!_9rGe&2wIVMf%PG zy?|KXaQ=w&WZpLo_3t|WKz3s2dHh-j408ozx*4F%)v|=|x0KI+#6Mak*Pn*{_JsXU zq@Jj~c;4E-Cw2cRX`ij3*FW$3vrHF{pLao4?+TRR^!j(KpO<#c_VY*ik7zxz7jw`0 z-wgp|{eXwD9;yiYA5cAI-cWzWU4OFtQoHDRyMxspK*>k@pC|eLgy3nfA9B@SGWi=q zkiCGip3v*3g89qj``5Vgm+cbQf3EaWe(HaDUL(j|0HpfV+?M)7K7Vj*>oy5(NbQNa)#qa@8?I*%KeYT`yD0?sn&F})P};vmQst;W4N9JF11$JHwTx!PYc`CaK{``P4A=P%{=LjE0~h>k$J{F}#BxBPU5+{1vf{?q$UM&2%tU9!#Z zhxZ1KRdm}07l#6+o#d!l7ajl1+HdUrBL{}{Z&%Ru1WG$a`6*dvt>5AH;~>x}plm1N z=X1wDz<+A3|Kt7Vx`B?yhqC-;B3k?VXX^d84DbOUUeD`+2bdtY{AY-N;`%{~&b9nV z`{nx2m0rrv?XN3+GXA}gkO4p$PPadWr|$mQ@b|6#gSv$F(;IYsfHME7{+(;p-)$6v zJJ-L`E}De&eGyTApyaRp*Z;u(lgib>pqKq8JujA||4e#v)xXR?FO=Vvp7)AJ*?k z`qa-ymwHV-|B|Ku2*`abP=?d%|4w=F(HWbz`7Q9?z(7T}N8(~QP};Ai5B4u!Wce?& z4ePI?KzB4yw!gak<9r(#FZVxP^IzsmO9gh$^`F!Wm;Vun=op|3$L&|Tx&M7U!k;YY=thrU zaX!857xDb%2?#ohNXlY-{T0ram;EwcKjNxCS$?_yb0YYi1eA8h{@b$r{&W2AT=ggI zkL~v~=&K_-(`DDpD6!ffuD{O!!I?l=evdVA z+!q36{jKE>e#@--y9J)R&!0>Ax&L^PVc=a1l;QOF2kZBwTs(etO~0I%s672$0=b_B z%JQS-|D}819!tLRseTHA6`!UM+`AMPQ-RWc^HhUwwP$?&LW#dG5yY`*NZ5b649~9w z%Knq~-??X4$++yDvi;Wk2Ozk2IWDdM+VyV?`!~pZNqzqYsTaNp_rI@3ME3%v{&fGpYu3%pKina|U&r|S^);Zo9VpYO z=WpI`{mX_U{w3#s^!Eb_Hvx1vluNJI51f3(=x6JGYx(aMDg^hg#l`hNSx)r+cS+6{ zCH~ieZX!_XKS$B`FPZ;TFT2+t#Luwd`m190<0*(+!Te|X8xhe>Kv_=ceDJTV_18@l zf>)3~r~hU|bQ@6iQ>p!4Vts!p2<_(<(A^4@^#|4eiT;-ep0@n1`6u<7y8TFcF29qI zkb8i#ozecAOJ^MT^rTf*|B?OQ?*QGM<TcwTk;f3Ef;>$R3)`d#Uh)j#(^Z}$VUfd;7j*y~@??SG_h z|HweY$WwjqXfAb*do(9Ttru~=y({tjY+$~oBk@sJj2D+!p zrPtqIz8Lx4s3Lp+MD`zf2y~ACW&Nec-+J^mw)=YP`$toS;NEmxJPefb)BJhWwf`BA z`%z%|^}p>uTA&czx&D#%&-V8iB6<=i>mM&%el+56-x*7}X`-oT-XZfD`*O?n`(n^LU? zHt%}n5^MiVZvS6E__;t?f9n3%i9>t0Z??eN|Led|{ue>_TDkOE{@_<+&7br7!P%gj z0~8S7zXa=NWdDQPzn4JpGEj!2a$ecrU)la%0pC}Fvi_p_1Td zZI$)?T`2^2uK%T7Hwo$AK}7FUgk>?-NvTFl^RL@$rPcrH6v{sz;THgpnDG}>rY*O1-}xj{bl`EEdSEY|J3Pax#Ie7A=3Q;u>ABdvG!l&@w03C z?fwtgIopr4f2x-~??XiN5m1KH-(T_lIfEDmSb6hruIZO@@%X!9^ql^sNY{Fx%x67* zf9A`FKRA4aoIj0m`@aly%Ym}|=>GrafrF-w+>p@zBX|Y#kIT;rMD#IG))Tt?ecyV_ z6I+%h^dE@-N?fc0N;{+aYoRs%DNsaTG5xdruJkfrc>KE>f~*0`{-3VDuz!TC*DLS) z?OO0%2b6rGRet}8PayYJpe$#)|2*v9@BfrJPtJdPJpa4_bQ^)P{?q%DGU#w|`PDPJhMnuc4y!yVA>kRojq0`Th@|yYK(dH(NdVz{YoGF341~iZW^! z&hpeT!SCO`k+akf+?|K~;qBi8-HPnFVsKM z@h#%9pL_7jt%h*4&qQ@fKi<~}@4es`QD$EWs=vehQr(w+-)-sl^xRW}JFYwBu0dHL z{Wm+~zbw$x^N6)?0L91g5MP6|9|Flm@p$2W5@x@Qnjv3FAGQy8uj}#PM|{bDJEH2Z zA2|Aehry?)Cj8OsB%#Yqh{wd6Z8~C?xNan?@=56{k5!eL+Oa9+vn`F^M-@6!Ov3@+V|Igwbj(KUi_f>)EvlDSJ6HS zMn7c791rm~@9Tx}1<%9u(Q`Xp`Rc3|GasHiF5Zt5iIe3ssF9Iy}`w!TE^@a(X{Z``nVTx`kd~H0C{nJRe zzCu3d^T}x3l@0ou6mfw1`!wbUy#Wfro%xfU z89E-{)kQ?R0%bV8KBmPk%{Se?L7q>j_Xk06FN%x$^gv)o-a{FyTfsSv;HJK)!Uwz4|#V1QhCI!GPuxM-;w(Kq|BGp(=YYM z_P-khZ3?9Nz})7k=z{nGEgxI^v#@`91JLabl=iFF2gI}g`X$!-@NNpho%Jv4FKUlH zZx2MY4^Y-)w7zYTwLf>~aDIMI&@}I^?y1mP#FZGM>Sb6z#(-vFy(_A5V1@*`F+XxXA0PXgJ)(6V^FLnEq zdS&}_Ex*a~-<4jLOKv}1>81Rs*B{BsU&Z*d{+c7-js!|RdVOoF&kjGf{TKdVyf-j1 zw7-4vyt8a!D2l_ z{`-Nh4N&S?&+qkFzi{>M_W77xep-UA6;Re+y8jfM@A{fm{@N=9cP>9tF3$f#M05a9 zreC+8SNz;+-1Sdc>jT<_{Pzc4YoL@r^B>dyqW-N(W}7hm6|;ZVKiOrwa`mUrrw#lQ zZT|@Fe^iV=m%sMl+W{!;MDMR2OklictuJm-Y3c6>zMX(}`y1|8{}gLxGZyULUwQ_`u;)J8gpX3G0uppgR~S+y6{8q~?YCuh?4O-%}yDcMvYR z0cAf+*B_Iwe&SetJ`9ZyO|Z5K!JX?5Sue2tbVo$}fU^AO7(PYIt?w(mzNiQ2Xrdgq z2K4#_&yN>?Mb`SxbnTz>-w5b=J;7M^6ZH3?VE@Ybmi@ORGH3lsyI}skz_&M0hST~B zHWZz0**}lJUF}!e1@|BNfNx)*wDU}59{>HN1k(4vDN;vf5dU18wr&C5B5)x z{0kIK+IpSf21S9$j1nto}&Y(JwR_ZdK$PTl|7 zE51N_p0&R)>(7LOsIf&?7ptQea^9SkbKi&4r3)6od-7@=*0I$irn*+H}S*<6Hi=g%|G${)rAO4_9e@i9)AY&M;}=0%X$7N z-STrW_>Tw5@|&kT>@Ognvwxv0e_5}!R$%9B|8}_|`b%+f8Bm7HROWHjT_1l1nre1%_a>4a~402BZ3efxWM8CV*|7rba^82|OswmvmxVQ!=>o2P3 z=34!iHX*&M{YkstN50v~%{b=01ZuDnqe}5x+4I8$f8^HHQpwyF2e+R#C zXx65r;|JILlksx|9Fe9)>_~1^t>2;Hv?~>2W3&8FJW%0?)hxD zLEbxnGN1JM94(u^cTCKlzvTAgcF;`%%JQfCZ^19oKc4uw=3n{sT1D$Gsuw)(PRM;1 zQ0BjuzxPX`@r{ppbV$ykKi9G`*pm(fUEsU{k2eFmv;U?fQTLh z+WBwJmrdV4LdMJe_i5n!5G6=pXJu~F_b-y|3Xh+rgWtnI8BXV468~5PPh0=4`7iB? z?SBRYc@!x7sk;At)Ve!szWkZrkpzxo(b0--UHMaeY3R8AcnlFe50rB1`s<1AXYKL8 zM!y3wjAM-XKaS^50qycTHt4_q%PPNY|4)GKNuaDhe+S$CC_S#}mv+JJw<|sI zgP02FJ&lWJfU=&@{*@TN$Z=)r`=ce3|5@;Tjsz-;VgI4(e*c*Xd6$)yJG}0$)U{)d zKjNY_eqs1bU&M|G`=7J${0*SAU;X{IbFE)@9=*)kpLm!;aPI|NybhFl*8btQ{P^$- zJyu!YkGh5YUj*H3pseS0`MGePX}?VW*qXoP{*SBuN&DgU_a*Rs87S)yz5Z>->fdJd zUuTV9nkWRXVExDS*DHwVRiNy@>HS@T^IcY0<3}F9xu##1Kd!&#fbVNSS^gr*IPN6Q z|51Fd{H0xS`{PPa{EV0^zbn1u-$Ws~-dtR~4V3BE^S5yalm`~b@tfB_q<<51ZvmzK zQaxF9zh4$X?xjFkes%vB=ez8V_XhZU!FhPTs9btoe&03y�j1^{4OP`TIa=|C;|T zhkTLQex6l-bWs%Dd|bQ>l=+vbykLLyr!D{NwjsT%{YbqOhV<`&?*gD~XSMvnuj=Oi zLdg9AQ1(A`{=q+3+I8ynk1T%?1$NH$r_?KztHk{oq@27zgQQQr{z)ePVkBe%JkAGbGOZ{{HSB&0MBxZ8|=#}pN(ambB z{D&ibTlA`-wDYs}fF{4>A47j<!A3w~jF#&fzS zEb+}b_cc}5v!}1j>RLnHJhSwsnWY&jU~^)aA0hqq-|eAYApiRZ`XahNK3CbC&s`Jo zGoAFaj=Xk7ANhmx=t;j6Kj>nKay~ia;a=Belm1Dc%xCFIU2on|n5*_a@8AvfF3y2} zdM?uI!C$p5?jx%At}jlyu8`=7AM4YU2MSO5L*XMT?sfj|V7@o{qI<%8%YT~uiOH@x z{pZAwMSlhPr~Syi;Ky>A{G<0QXX%E#C$3yd&rAIA9ltne&mZf-AGfaMC(U#wKGGw} zLFuIXs50l(=c(S8#CM#?!~O&H;4eTmq9-#oEJ~QD10kCs6j6R%vAY)>)Fkp{MM&+ z1Ht3zrz;9Zr9k)q-kMxEp zijL%!{ZM*)uqqk%>x7&sZ(8G_)*-!Hf6DI9l0CYA52AD$$(o1!Y5Y+iBFl8>`P^VV z>UzHb?*k}v-U9Vg^YEVHGq>6w^6EW5oPNYwYrjGE2h0XtJ)nT10V>+}@ch1qud=>J z@_LZkAjlDfxY6^8)8WruN4#&Z=+;gDo+tIk<1vai7ZH*jncGtT-r&5RCDwd$%ar+3 zIWh5a{?`THD3I*Y+?M*wg88)9to3lI?>8pxqCkP2^LSF0tFV9km(%AXA#%QjQrA&= z)6Q93_vTgBdZvTI^zVY84Tz*H#`mkme7e*hf6v?%;dcYdeAeX;{zx)kx%|4?Z@T)I z_TN-dGSlV12O`=BDCNvk({bK6m2(q}*Awpvy1ju^ADLTSe}B2I@z|5?@3E}EhM?OE zD4|c%^ExS9y6JbNmv-SP;@=1tO@LBQnFu%6YJUpw-17=R*BB_#Cs%=`a|ZH_G8%T_rQAt!^8gT0eIdSXy^a3#%G;9EcGKlf4ifa zK5vEE=OB3O5cPlDeG8nGQ}_SVn5NS-HK%D1qA`+@q^pwZ+1;wps5(TPY;>y5gV*P}Y-<$H4bo z(ysXVs~hOL1IzAzEARL0>Dq5El)E=j+DWDw7EBDjZ9TshDI|A(ew6u!X7BYuMn?hV z_*uuZAf8p$AMe-fT7GH21u4rf?TY2^2f2?1%J#3 zj{r(Pqw8z6jkAmFi z0qy>y_|5q5J?r_0`@b_lcNWl||2E$nSAn&cwlJpdA0`?=dU+etBm@?lC}F z&(!|5CHP-z59fgHT%gpyp8rMrlh@O2f9dvrY(K8{OXW4iOr3wS@?QYGJr9)rQ;)y* zQ6D^Z!l(WO+z((F$3u_Bb-FM4nCGWhwVghVlT7kq3S{0m99#mF?JQ4?`FiXhlWN%e zUGaK87lQ60ptS!??02=mYJWWc?W%v-E{hb{dE;?#F)*8M1W5Bw6}?|&#o5oLkoPj6 zY=2sR!LRc6|CdAVJAeuLe{asj0X0ALyW)NT#V05_y#fa@pzOc(dJMOo+T2_7uG}v& z)>9$5bN?&tn*Gm}$Y>%^>R+$t7+?7RzD?G8$UV~J&-OD3d~XE`h_zK}OS9_xUbWU* z53hSTe|i-NZUM@6qW$;djqmtu*Bf#@&QkjgT@AYHfzr?E`Kz0nmy8{~+#0`kQb_Ji z#=$i}$zQLBIHO|Lvz7J7cPcQ!|CBj@!Sk0>KzAK53uu7$i+|Hv&xGyA)qhF7 zrrv+Z^0WQ8@|W~1|1^|$CQ!CNZ9nt3oP1%wmy*8!xdC)H0;T@+_#f->$?<2K(0*Oz zm-X6Qft@!U2R8xb_*Kt;B&mO*cjcc0HL&6Htj)a&We^M~x0BPo|(@=v|~)3v{J z>66KS8}xNMQ2Jkb{)?FdFcRvmup$nxk)=qg}N1uHnXRGD^`TMsAkp5v{c4>M~#}hvr zpFmh)y?{sJVXT;K!`@r_B_xan)Zk`*Ee0{bJLU`OEs_{`XN7 zdTAKiuPcA)SJ;0n0^g^A($8rBU0*k!XV+N!J*Vq` zx%{s3%l5T&DiC{B7e8P=DWg%+G@Fb3mzQ%|G~6-uCkX3Do_^*&h$x z)OWM>{K@aHUq<>BKsnBV|J%0Kdj3=)|6D=`nti{->2f@^a1}aQk}|87&3c z{>xmRZ}oq?p1W)P$$T3su=AGT;5DGEKfPZt-v3I!!t%TFm;RI6|8nqs9VqKh_us*< z^0vP>Aooh3Y=64{f&Z7|a@N1A{-j-U`&$LRZvqqi*XH}iw9j5_y?@~M7q0we|5d2K z&e{Hx$?wWv+7I_XYaz%wpyWgLb5BD1|EJ~8Cx!v~icXWq1Fv_A2M+Qn$qx4so_2b> z9eb^Xev1F_3xnVHzTrpTvxfGg?u&0bdGGIG+^dP_{1xdvb>Z-X^xx0nx!E5z+5X7X zt|_jy3gYno^skSznff2(!~Bh0CBBIR%|tw~y}vKzOZ8q&89J(8x=!f`X`ft5Z|}pL zfqXc<$v2|r=~lD(KDu6lxaaEX@@`Y^8SoMEi=ltf5mhsSbyI2~zkI|U(tfgZ*A*3{BEo&;t;FgKBf0mZt$c1iEaHPrZ@bkJ~$uRZ&%6_ zRl)Wgb!u305go}({R5RVqHYhufNO$|Rr~PQN(n+)FmzN&2l0{bnOS;?Ma| zT%*BceDV-yT-%BhrF^&?CSEjo`HbB8>a(j)(tn^IqvLUdUl#VUWji$aRkh?NJ5DVB zh~M{pvH3H(YR&5SkMsyTYeeUsy6b}G(DvHZB<<18m zzE9VUo{0}(V!G28mpt0+Cc0kYuWT6K2|G_MTN?kt{tEIG>B;1e{EAs$W}N{(H|Z!} z;-8Q89r&E|B=Yr0FVM#}%9rUXYCqx=wk&G@uf_k?(EAauPKf_q?Gpb>?_aAL#o@n+ z|2^i%pZs6M_3`2JM+UAR29)DB?FUY~a_Vm@zVUA?O~36-MW>X$E-uJ%dZuc6)W()a zZTv#6N9Y|B(o=f*eg&E7_Yb$nzkl3oyY>FCOGr=U%>juV=jN!Q`CTW@%HD3hzvuNh zvp`4VX8D|=+acm-<#nDvA%1k9&}6H>AE}`A{76qGUuqBT-#^N6DfPFWmyPn%dneL| zxvb-tD*1jguH$!Ee(L8ukDjaRKo3&SyZmRr9`x(VZ?+^|4>}igQA>~JRM&q`GyhBW zWv=u0C$937og4ZhWzh3#;~)reAf^88HtaOF?!+^`|Po4)W`lvcL&`bK=Nnil={!gyPvVE{$;t?e)mGT8v$kgQ-AxJDw*H^vXw)W%T_gDLat|3tR2_3)j7vH}Xg6=?I2GD@s z&l&3%$a*bQl0ZPC;b?jT~``ZFV=^EpJ-VbEcjR5ucR~SD@{@i|C>yP?7lRe8{ zK6)NMxzbDdJw?TAii4p*nJ!1oDLlH3y66*s2oc0_*syT?-VE3K0HvSFQPHJMbCx#U z;va$g2962oo8x+Cpl!be9gn(t)Y8p9wR4lKS4iIibcX{4==C?Y<-GLPQ}4WO^*@~z zrE7_URzT_hGQ;l|q+dz>`;TP)Ki&Fk4Y}I@W&OebjaldKf%^uOqElD?(tg?gs9rlD zL#Zd-elEIl){=H_TJz6-SbuFn*B&VQe?5L!Fn7u1@1M8&pB5qgk)Ue_l=h>`f84yB zcJDu8y+3NMko+H;znA4|R$=^UV!9IwB-@|1-{7~-ivQ#IbtDM)BbIV%KOL+`o46k$ z*@LV7NV(GWpKO1w{AK%N|J%hV$mL7# zSNoIgszI9abNe3zxsL}*|E1%9^lk>X9JtZ?{*L>Pqd|8}ne_VmkznHbHEaH^NFjMS z_0RGji;Ru~W>dxiMis69CFdp5)qkNPHiL0M<2$K8dVZ+9&rc^n{u8M{rBTn{&Z*@4 zX`cjnF96DZDo3sRrp{ZlR($Ojh;niK%E`EXCQ!CtU4NG?&Up8s&*c0`jK3cm2D;OM zlE40b=1-EZAD1qFS9;m6a{Y~l+~)wLpVaeb z|9R!=o;9~y`@!<~`z+9%4U~40sm$fX_z5I;_WyGHkox#n(sTcPE(AFrDBGWwKN!Eg zXMO)$sF2(ngM;&cQh)zD_Mgmt#-iMpl0r&jtb>aE#rj|4kp4oToIlX-KlIb*toru& ztxzGkv;8D%zZW5+@j&UnsQ*sf51sNWU;AVGy%>Bi0ZRW({QuYdXGEd6-UJ*x36%a* z$8S^}eOJ}_pZnxzgJcCG!}*KLL3a~SwsReS_s7DvC!Y1CT>me2yh3vC3LIPol=hdY zp8dYb=m&TFV9mdD4C!N_yAmktPup*>pU)T8^J}3(^0e)DA~Ko;l=@@)k?l9#`D^lP z<(+?K`l})LbwKGqGu8N$tF75;v_G|q7@7n&!Ux1AQI@iCnYi>WT{3SihKNW)9KmwJg$4JgN{$@k+VeUwjrFXZn^PyCFSJbt6^Vx~iWS^xb0LXHcH(&V4I{8FzC zLjE%#_kBRw&h>tXoAq{pdu@^HmwE$3|9La$W&&mTwg0;7lhHqYWzTHSBDSw{ws-6D($ic73^`A;TzugA9+ksL} zJ^mY~mmj(Lc|VH#2H5|nYkzkj-`POhf7AR0eWwy6iz$WV-Ygv436%X8`G0#qUY@^p zm0!wL5c0nZeD4NIJJtFNewBAWbJy}qy|zNR-1|RiSL}c08U=ax0wo`9zkf^oFZaK$ z< zXC43fKR*Bd2+I8^&>la<>I{Bl&e*lq_^Gu*a%cZ7`xS2gk0GNcfVTf8{Y$&x^_Lz8 z-Fy;AU<>8p`vF<5B1Oqu?N{0bx4#9*XdzIh)BZEb{C!37ca>kZiv}uH{<8h*c8T92 z;1aq}8uk1C;*+1~^s`<+qLH}XPtoa9ICudl$H{vCi6E}!BWwPM-~T-gy61t?e)Rb3 zFTUS>26T(dq^J3}b=LTw?blWR(k|G3o(13MfYQ#j{|@#Kc-i`XhS$$<evXm;Bj&(xrb9dRq>Z&u_Z@<&C?r=YqGa^|yK`B==sz!BU_sr(S=)+cQ7k*yCO6 z{T27$FN3ZaD9fqm&oTcb+h3tVa%cZ3^X2~Q6=d`(Q1<^cep_d)|CDIVej#=LNBkgWSpL^>;Z30AlZkXI_aE8Nj{$!FkUai%wR`+)LAE+-$e>L# zTT$F7+4pb$J5%o7GUaYh9Tse4n-RvNLL6nV#5ZwISvU{N7vAqP>ae*lUiGv8T}kls ziO$4X{Scm;>%^Zh1NqQ7uz+>frCG>zggF zJK}mekEoq(;_H1>3-5cukN8k~%CYu`weM59Ol9I&sl1eL1a?5ziJs)NP-Uv?;%2m^ z3gqH_k&S$mKB5K$3b6B~I6>xb=%_xK-oz1SfDd0UIqR*94*#Nt`fm4=^wdUDFI`WTPrkZ* zi}&mDPB=QC@mLxUfcpXjN)ln?dKQL}wPeirPY3gR<4p54ex?JS~d2fymD zk7VVic0qh2Xunj?xyt05ukO9@z%!4#x0b3luD|}vMSM2hr*=%|q<1P8>6z+_t`pkz z!Rcr}UE|kkB`put*Qxv07_y=h>(9iiQd~6i3&Mzp^0}es^9zS=9yfF|>&@)%T@(7C zbQFhA=Y&*mRE~Ug`=FBZvro#y{@}IY=WIREIE&~gKDiF~Qoh8ejv5;X2024}wA0af z#qDo<&fAZV`PbrGYw7sb%?a_Xn_c2tFEkbHRRtQzQE_+OchXOOiMXB^-`X1YGeo*f z_1WO12Rt?DTYqBd>jh^hI;HVg6c^<9O3yD%-0hPg-lu+BB8a0pTG44H4r&6c(TxCe z)LVGIp!?=F@2^Vb%?6#6f0sWB^BXlpzRkn=?JQiEa^s@jpEVZj@0hs0HDyQg()gRu z+^2s2zyJL*mD7}~k)raGUUP6kjzf3((Z6MWkotr2&JR<+!11j#|1ay$3-?Eoc13=y zy!N!&kWlx*BA5pDkS&vaIhy()?be5(YRL0`bBnpU9*tB z4(RfM)Sk_0rdpR|e@7&De!fqp|J{+%9ze23;&0IYJ}Mfvf7jb0GBt=2Y(w zuyyXIhi!V_FTni(VqL@f-w)RhDSe-gi@U1+O`9~Ed;UflpB3vA($`1Y0-&rX{eE|L zn?3&T3p>83y+U$l`%k9-{gF`vp!8q6{9(^e&?EFWtoZ!4A^$?q9RQSelB0(G#rnjq z^(XVCahtpUOjiE~LheRDnNIh=eU7?wXuW5x?}PPw5BwSe4+heBz?{;!b)7Z8%>Lsb z&=mm%=M}F2-f3jSjB0jG4#Lv*B+yA6aFYU5PD1T!Vq#01QAJ)ID7yiEL zP|!62%Kk62!s5eZ{jvQX2EI*!w*NMl|NF;($?T^E%6&Lc)^m85?e<$-^?~pEwt3z1zx@2x z4)pDTvYqSp`^6^xfz@-?_i_CE=Bj_0Z$lE->j1u(AogVY)$t+d|78Eg<0n`C>H2R; z&;F-;{8JylN&YlX<9VH-zcYc-{_<3G!=fi9_TJ``p9qo_A066n7tnPDNz}T8*Qfp^xUB|-@^?r2qk+;-=BRBu z8+d0gddC;zOEpj-xkv4~H!ev3sn-|Tbnu@eF5O`558OGV?+LnIl%YU{bcyfhNlsV$ zk@d>;?@FJ{e)>S(0YJO|E}qx#w|V_mTHn`nK)F2cDA4r-%tS z|K*dP+h0HM?GKdxQ^#jw{z=;Pzx{my%Rdlu4@#mxZ^AE!oPW*3R(vUspI!Aw_GZ|m zJAQ1gAg*@|4vwb_r7=E#_rnR1y7zBQh%cmM$Kv2Px*)I_#_#W0RSoVpJWdwf^H;G`WZd`KmWQLc7DIs`aXci zA45Sm94PyFO&_cevDO;D@c82-(47pF{zJ#NV0~~oE=WDTS&oYe6xeygaBvDx*1!Hf ztCG*3j)2^!0tM*!W?ElD`t=5i(v`3ML{g@g{x|jUo3zW+`#-XGQ*QQuqo9a0fVTaa z%ZdAoQ+}@cll^b%`Xhd}{G%cFSwI1C|NFPtFZ)l|@+Xu390+^?P`2|t)jxRAT4Keg z^7sAcf^G~@wsZY`v>v_wRAl!bsn6d^`(yh(4}8xD+WxPy`;W1Zdt90N%T(ra<()sd z2y)K`%66vbKOR2eog12c?US7a$+n%QkUZSqb`mZ~|F73qJ)=Yw)GU$v%jxG2qQ4ji zF`)Fb`un)E`bDpN-i|Nl^+hfL-2|YtGp+wFBPNV`>_f}``TOEaL3bHYwlh8dit(?M zt4JZa^Yfd`H}&=}{Xh3VmqU;%fO7moezNk~-<6PiB2e}py8bKq{Ml8I`%a*=KRy5T zYV4-GN57HpU%aEj=kKdQcWs&F*W;%r>fi9knVN;PX@9!^L;IKY`p-ZAO8uo?f0CZ{evsU{~7%5vF5)Ou6y3?CV_VcP_`5O z{Q5ug{!r?L-+$kQa^DSU4HR9pPjvT-w*vl+z%kuOVMfh4C*ia$4^Y~Hr>s)?U z{YiT6zaE4j50OBnF}^=>lK3=A=E`5Ti`4zMY(FgjBM{^{ptL`2zfBhVEBe19qgG_nT7xY=5rxFZG{#|113p+wY5z`&D2z(13pb=l?wM$W>eA{7I?)^ChHz87Td% z{{B)&JMC!mf%W|t>(90PGGDg8V(@(hC_wukb6$Dpf0shw4M2PR5PRX9u?voU%NoD% z`k>1|_Xbe5Ki&VobnMz%SH5e#KRR3?x%V0lmII}o=yP@8)RNyx2RSW4& zyeO5A-vt zcG34W)IKXm7cH0@MLBb!U(z4RN#~Rw%Ukw7vQc$G&``3~8!O_!2<)*o4?OT6~wMj>7X&;a7K&-mH@L0nIa*RGBG^0`FM7eCSbwwA-b z_vyWSkSunZqU>lK7sUlSH>a7ZsLMVbu6T31HC}5QKCckJT+l}-;{fy2wZZf9R_lA+ zHX%KYL$g6A$JM+1x6T=z(R=r|toKDcUr5g_hL!w#1K0YK&s(YMU((Y!*uDNFJ@e0l-rECZJ?r(u@%fAOQIut0|Z=Py;)zu9rUc1TPn;6D1#__s);(Af(`*f_jhx@^b??pV` zkA|+3ex&{Des$FsL%$!k&iY=N{pVib)etECjE;A^b^ja2owv&Jzx=#R z((CVa^w(y&)9n4M_k^1-AvRyS$VCVe4QPvB$|NW6sA!R7= zez>yF1TBHG|JVIjCI8;&aLC;nDC;>hj2D*vzvABav;p5E zfU^E7zx^Evx!VEd_+RTU_}Sk(({p}#+dsEo*Y+>l57T#m+=GB}{H50$`+eQ(O@95# z?}GaQ6c1K(N)ypNa6$Sx{rvsH`pqMDm00n%?L&Gx=n8uIoTtYh!T4*d<-a*zq$B7^ zK3Pt!|C(k$F6qD7emjA_Gf<|Z{-g4)XY5-4vR!lk(+%bB4wU-S@p^yD`^MD!FDVz> zZ%@eGzs&l}Q`>^?oxZll&&@*r-wSj{0cHQE$ItV-PMnp!-C8f9kwWrtAL%~0Aoa}c zU$%?7A$|GkFH&LjeIa*0pwzRre|#^Rh5H8TDLQqPU$*Pi{hy@g@(+L@1A(&t(EV@l zOKiVXPFMM5y|Vqe(i1<33AsG)Xj~Wql<6{6Nnz~{_iXyuZ;JZ?#0DrjJq8EI0;QaK z{s8S)`t_oa-c|l&`aceQ2Lq-4BdQqRi%7r9{@0biY(E7l%P;lH{^xkeeFjjb)9dly zvG##Kp4{md;l6>R6rG-cgHwUBoQT)x{;~DF4bR`62)YrJVQDPxp+gKsFcM=Xx2FiBM{!7|by7tfdcddU}FHC<5G2+?f=Z>%KN>gYyC;PVEZW_y{DiqZ!8YR0p;_f9)In;e<3oW_nWf+$Wz5PZM^L9*{gkNmpuP_5$MMQ<@lM#k1t#H!|%Ub<(GEN{^w%w zy`)V3JpPmQ$NG2WpRE0+OMe;Uo&c0`QvaLSevteh>wlzN5k>s3z`=5$9RKO(ucyyF zc*k9z_+%eJve+5n^H&UX*8pWb>-C-%d{_OH6F>H8d>JHD!xfTySK?qIT_}yQHYzwR ze&2e2Yih3Ro38aI{TlcGlL7{wcNI|j&rEgu9r54imi@E+y7HI$_d@xv2H(j*X{S0~ zIm!GZk~^1Q=F8)cbmhMmg1k%umBv_GRor9!#M&o+==UvsT@4HEX9})A29)-r$KSnP z?D@)N@A_R!(-#j7>951}`+%~Zwf%N)wCB5>-t`*`dftzADy~llO8=+VoBQp9QM0o) zS>NmP^TYL^n+BAATFd{%`M*!fdE4s0n3e-q@M4YcJSrlTG9S+&ku@1R>qKLd1k0HvOEy#6TzJGVS=llA<>^G7#> zZYEInpIU!^%X)b{{g4+Ev2;qkll>jfcw`S`Q_J_5dv0wo+#>Gwl@ z90I=tl=h>a-zE+`<)c5}^7j%2>lTiG=HvPzU_$*D+;sSpPp_5h{dip!Ww!ta3xU$k z^!zi{tC9Ue^N_xL^~d(}1o%D)lQDMls#kaa zn@s-aA@>VF>1W`7VoTHZzcOF;pG&~^MWEDEGXKZp4_E!ke7XKy>67Wtl|EVh6{Fls zfl^QU{Y&uu;oH{yJDjhwX0_(ysx^@>Baw^uN>|-UQuhpp>8D zFDh^SyVf6-*A$bVAInG2{%bw-wgo6a^$qv)w);<#X9EZ}0;Qel_Sa?G^5#WPTh9-N zE8rT^0PpB3Nl<3a2Dl~y7Dw?VfFDE%~#ALMn`U-{(sLjL8W=kmMK z%X(>^CV!ScdA#^L?(yPVYp9tWKEJuc=T()7x7~#}@t=LY$*him{K+@f^F8+6w&S@; zo)X{0CI9K$@!W=<>W%bA=Mm-aACG{orj~AP{n&)18EXHU8wzS};Cx@r|Mjtb`cw(` z&wj1%SIhc-<*6RqFVQm;RiMu*D!wc39#48|&tT)*Du^qtqJr(jpQro?DPFxQ=t&;B zPnamLDGyzzeay3x=40ZBNsmN_{A1NXmxZ{_44f1HhVZs5b^GW@8Y zA%0O6-+j5-IEtsu09_=>zS$9V>!o|2^4x>84|I;2a&7!a8O19YT45GkMb$;JM7vvDYpZ~SyMex`4iVaFnZv8gRtXMtB2+O{NAZep8qU6 zjN6y#sazxv<&!AywCm%)sCwtgk*jV!G}q)GBl(Dq%3tD3JEQ9n^<$^Q^j}mBt#jpx zb*_x6Hx9e?kKu3RsvovoH)s32TG*GnHssG&CN3TPbUe3_KZ<>wYliXFX1{7GPejT1 zY^sl%pyzx{ei6j2Cu@gM*gMN%;*;sz)*suYiQlICY^TKcz@G7);ORbLzPeu5+Pzb2 zs~_8~{h{4jil^rL0ll)$y(s(u_{T_(QER;ci%wBHCizHyE1lLqt)F1@n@nGc_Veob z@r48^-+U`BpZHMyWTT$wx?Nx7SL$G036ehwebteA@TgprAD`bsFEGXpAGPjZrzHYL2QkD!1>bXzz?swR=|?mDk-=o9B(H)19`$9+lsB)b72Of84(Q zzZyTjJ|TX5y-WP~B`8r>kp)j-O=y{QOGgtp&bvoRz8iul}P; zjbq=H-#^8=g#77wr6%a9JUCT#gZIxXt@mgA{bMyG%mLE4+?;CtKO0}Lu-KY^X&LID zp0{XzQI=D`{~A0mr``LHSn~(GUaG79NKPYHV+C=&Y#fl@r2PE+ChdaSpZolk%$NK? zdFjLPQ#t1ks2?jYe=a{gm*tT{OQYWJMq$5f(yzJQOi{8Z4r&9X{rz3>LlvjLI*>ab zDD5m$&B1<&WZxzk+n=lbO1*IVr+JaO;4j-xjxv|mS@R$K{ofv-+Y?Cs#GLB=29v!1 zMDlXlU+VgoeSGG?Stz_1IeG7 zQ~mztk_#j6ZTZ}9i~9zS4e9IQ`T;;$e|r6r!iAT7H+QFhcxn3LL5fcI#le0+@@M9h z+RuB|`;$V2Ar10 z<7@U?FmvQKpX}2l@2NoM9fX5MKZdg11DiM8Hr0j`&~ z|4P^Yu>Bqac^dVO6Uf~WC?Ix(TK8uB_pVQV#@z1` z+TURyApa)qJV(vh@bw{&USxg$?(zB`O+nuRDD6K}Eqv^Q19P+9v&Nr|6q0+*aL}AC z2yCh5V7+W97doc&Y3as*h~_DlX-`enBN z)}U(xl>Q_6_p4-&uJ)fnDlw?&)Rmt28M@TlkE}oT-$z0a5=fR`+y5Tb&ur9XmG%77 zC~QCNK#vLLg!Rv2@yDN8Ypwd{_`CL??*J5_$KU@e>rW-qzia&`qwfTTbp=X4p~vq* z{M`m?{KVt;&YM*v|4F{zCVO<1|L?N@Zjie>kemfs8cyV4UsBPRRr0g!tjP}(m& z|0a$fDL+^Kvi`aMbEPMKw*2YRAA@oq3zY3FPeo>*vpRR`kJk9PP$79a+aLFT$04J^ zKd-<7}g%LO6- zk>Gn;nf&A5kLc|d>aVogf9n2AmOu6OE9t#Z{!x(o450KMI{xaa3$A>4$&RGoFT3hb z^5^z{Ciq?q6rkhRyveJc`{L~P<@*z_bJ%`IgWw!Nh!efv_w?#tANbU5+pP63k5rWW zEF7E-l>L_;f8hH^=@(M3KWUe#`%me=dHixN}6ZPUg|0B!aFr>c}8O{buId%U#bzRN@ z{ks?O(5d(Z5ljCH24c_rrYy z-4va=>QAgg(X~KX{!A5(e_%56b1QzcOUOS4x=BF0{m0+mA9GBJ_54;8(q9R> zi9pF;ub-3T`5Vd0IsQ%Ee@eN$Q2whR$TdLe|MS%J<|SiCU;bIr`JbynHyJ2E_dn)* zO~U&>O6OYtQvL|?b#Fhi|4M!QAln7&e+mk615omz_fH>L{cpQa{_8+D4Jh^RVg2Z> zmj2lOrh@Kzpa4C7h~fE1>Mz~$bNh3xzhwGzrI&iGr>LAa;$S*Z_W#uX+4J{JLwZ;K zQh#iJH-YaApzOai|CgV<1m-fT;cNfZiH&Bi<^3>QM{&KsuUt;RxFWG+5^*=2CJ&^m^B=Q%(^2!IxroZRY z{A`d+ove`Dn}dTVfU^JB&#!~)@BL-xt=9YJKH>OhF6izplU{#65X^tQW$nMvO(A(X z`+si#_aUQ&z--DmKrMgH>Tl~kxL%HbVqHV|=OO(9plrYT`;j%f{gT~go%Q`7zkj_S zbdLaKJJ<1Bou1nM!|QL#_~BCfPdos+2Z6T#CjTL?r#pX9sKCy92nP=XrJu<|x^-6k zYwGqd{R;OVuI*R0AEtj4a?c0K`Xm3f!iqoQ?-w9Oy?*lAwF&(f`4d<9 zrC;Ix+m&AWZ+`xFrI-90Dik;E_UFo<^aZ{l|0i+bX%eV3>i(Pd+m-E#;i;aY#v{@8w>gCH-JDZd{7T{EKQJ)PG32a~{Y z)ZahR>GL>v0Vw^C9%py@x&DVW=34v5v=9BatNb~{FhD)7!fy%iMWD1(@_&_g{kWGQ z_d1|#CwlxDY?Np1Kjd-$RSde0fU=*`>-W6+ zQ_+bxZm^!;8ie$(f^I1=q5d&{Amw8J?^^$|UcHci`RKX*yau_K1Eu~mEB*Q>D6hdT@w<}vkM@VA zcv`Zj58o4dL(7WD$xobRfI7|KT!tw82^=nltABtoB z9dVJwpX8@}J+`ebhU*1jl9%ub^jau=y|m&;%s+Q zW`EWy*nd|0Ir9Tjx&8xvy30L#%apsfOsT4Z$L{koA#ar=`4b;Tv!856LVAif^nxFy zkE$Q^F408`sv~_CknVem;z5IH@MEYx_`b<67j&dAx?keQ-+t|AQw#U=liI;k=QPz@ zif5a2DuVsXv#`G{)f45LOy9I0HuBMNmL?v)W`ca}-x2j% z!NT)L-Beoz@xFOfPUiRc!J}8sda{*zN-DSh40aQl84SYy`j%T9D40At~;51 zC5wxud<+sFTOU-V1 zi+`aYXWShhKEGw)${|2G&e-MWj2%4frz^hmufY8P)F?%#lzwkqko+^%Wk38jV|LRL zYyTHsf0)KadxD2eFHs0`H5d1?$fzB)!&bFX*^|n=0g`u>CW|EmtV zC{W6ur$~NEXOi*v_t~J6&yBdK_h}u4^$$r-bEimA3fJ;Wxx(?1NAm(Tk)cdS>!&?! zz5h-9`)g?zJbzLPd~<NmzSRPm#+R@>8YI?HL?6OFR=&o zC+#eTOt74NnAdu#t{j(@8Mx&wgZ zhs|lG8ee~H{?+^Lu;w3ID!#X$j3wqO1ILok2#i8cSl`*-XIy86IupaC8KQpw}L z_lLZNN#r+|ODzB8DJ1{L=C8?KNgm?g00#%sh0+*nrh?Pr_162Jrslf7>1zMde{=h5 z7%=d{I9}P#^!w8z<4@X4E&tOfW&X*^Uj+UK1Eu}y`QP~CtKR=h%EkMKx|UzI|ArMN zzbk)Pe%60ul=~Qn4D@Y)Qhpu(`OWYhXMecCn!o4wCrv@u z8YumL{QZBt1F+Yh;rZWYple3_*j{r7+WBKx&;{RipA^NxVtIsoN3EmL`4zO(C`S9-~x_3uhA`KLbql7693 zk^Va3U?5OF=jEtjPkgf9_2++N#b5cM|Lg=h@~?LN$AbCO53KJ;`TLE|pzj9E02F(_5O{& zAL;?R-auK;`umq8>nD*sJwewCC?M9O!oFXWVpzW- z-S#8-dkXBF{ZGZ(AD6#B1Q`I7<LvB}pTy6I$?_iyxkmt{o^<^8my0gzTI*B!{bh{fPmTlKNkA#5_P-NGJ(fG| zZEOCpUFd%YgKh{=!eJ`b^_15ej4iglpX29WSN$a`|M6fr6ljm%V!{3ePg~y~9Ii;t z6L4@MFq>`!sNN1{;@(u^e{!@?NgZ&fVvEonj!}=cv zx>JDC{z%Ts`~8z^{ZW0JVsiUC73CfYl=|D{uhXk{tv~q-Yy6SA{Y(3aDzHn~KU$8T zbo|Q$tDDry`P7kHG zKhl25FL>U0DEIk5S$~;H_y0q3=kbrM7jC~7AfvHBS^vELh4gFe|6JRTEEm~@`}|)r z`OC+j+wVmv_cK6QPkR37qumz2nfs+r^%Nv4K0WmR<3V>HP>%C-|IzD<%$Bvk@;lK0`>HOEFAeac0{xe4{ zyky#LzYP3Rt{+fp|C-A{NAH)Vo#^@dzxaN20_ZOV@@xE%;6WO3?9>m3;jm*YZpIDNt0->v1p*DD{-16v{8{g5x(``AffAFXVp%_}&P# z$DiiIvBdRvkv#48?<&8v%Zl?quKZ=au>ZUnintdj>nTsEKc`&M@^^dvC!T+t3A%eo zp`}r;zgpb${&%Lmw8qabecj{tC%54G?czR8;_=4~9(p)>_6qCyp{=6ix8mS7pd7#G z_46?Qmdt)!^_On_$@atZH+MkpyMWSu_4xPb-(LSY^A&6Um7iZ`f$mPAtYbL|GCm9)8E~Ydp1z|e|rBg-+KSlR3Z64)_!HX;P+p1Ajn*xtUs;iO1^%F zYyHXkXa6-1<-Q*%>ra3G*LZ8qHz$6a@cshHo$F7IE7|`)fQ%jm%6h{1@w*+C|KRb* zgP?l^DBFqdzk>DWwprs3{{G}4&^-*y1{%=gmwn>~@QU^RKlS-v>A%>2l&}6$Z@;qs znf@`9_X%JPtNg=y)?7bx@O#$$0k8k}IMUA-bU4xLzr;qy7XVso>93)pGms|Fm`uZnQFYJF^?N{0* z+s})TyBH|@5B>fH>xW4HSEP{KdkF_G10^4tXR^PaqwDVNSLVy|r(1qkda3_{u>7y0 z+)IJ7|Iy>WEswUi`?s}n{mD}6XSnj0{)7211K&5wEH5{w} z%J!rE$D8K+BUvsUe=P^y>p&?d)$@P<_eWAMjTDOOt;E49p!B~OKgaC#`$WOje|8nDZj4&;P>BOe^M_EP%h6~ZwlzW1(beH zx1Y9shMsf99BclpLrA{?bQ^(^57pCuzy4~XdiN2ja{5Q+k87K~K*UBws|C{By(m z15WCEam|lwhUbQ!%18SH*TDU3Al;{P&fm}{o=ZEm<&Ua54_?0Z(DR}yzAAI}=9;Q= zu+ef(7>7>#PE-3y7I#kjoEtf)J$p)T_NgPNDULe_^<2v;kB2yPx=wOZd7{=j0Tho+ z`m@s$|9sW<)4MKMb40Gn3pT{gRi-^htvGb1-zOe^KiArCSnoe<%7uDOx<7HUdWopz zbw^y^Y&qv+{9A6gU$D_@9myx;8&MD3AOF?FzQAM`BzK}7O#aNz$WQvE>k(BL{PI+n z;8$CHcJb^_FP@!?`0zw|OulwG$=*qxh>Gu4UrE``j$9f!g3h{Q15~N7sSH zbf4;j?g!t(A<>Fs{ z@PEL41Bvm`N8o;jNT=rq5A`fvHZI$iy<|8cc{Dz7OQ+g}07eIQWwGkSl8$(!aqv%p>-nAZo{A9RI4>QBw7 zp5N>{W$w`j+27Y68P>n6{IXtne*FOOZ2*+%^z#k+FX@+4f4@iL48w-)-&KCue{lUb zgxrS#1?c#q>Er$LXDxW!^52Jt`a1{&O@ImI4<49STmF~#$0-8cp+LL+%;~zac;n-C zd?WksgF)A*OnUl0!2Z6tfkJZU_sdd$Z2yNKqsBm)PQTy5_a(CaD(?MA`RbpZZ`}Q_ zl)oTN{jvQuh2EM0W&5Z3fyz66YXP|r2io>)E|(;%FHHWhCFoiK1?c#8@*h(Fk+A)h zul`y8uJj}?m51bPje|BodLF=O_+l{us!Hy|E2v$%Owx>@3BtqPaf;8 zklfjS$#QY|J0PP$lwoO9eU!T5`TM_Yw9;B%i`Vz332oAktp7~qJ@9?sHhZp+>+^eE z6|td%j<_K8r~NGA+hx9~uMZ{l%Ko<#_;v4~2algCe8 zA$PAN^2dJo#*a=~X2mD+`_*os>kgFtH^(Q-@eAuOUHN-}Z%?4Ce~yop^_TAWsp9-k zZ^%6mm<=?bnTT#$$p^Y`{Q>e#D`P)Pr$*6 zK-o`e{~4cudwh)*->JuS__@k2>xKL8p~z=AP^Q!USMdC~#F{_j=ckiEcQR1Qul-lB zzTcD9_pQ9XpR4@RFBK}V^M>Kz6rk*9$bTjFzeMlKU)C%4pRV-Mez^Z00YOd$%Kl4# z-(1Ppmpct|pIfH<`uouFtH<4P_Gi}j*&Ls7I_S;>Nm`=|XL{H2%X&>+f63^_K<*2Gvj5k94)bU7xtjHN9_Y>oNNJJq+0807w{=SvG|8TWmS+A+vztju& z-&aC!6M?dwY5fPk%KQ9t737`*l;a0I{{Cv>gk?GJ`iJ9w0L8~DI=vbPlYvrCy8qRy zOUA$Nm+i7pA-Qw=m-WZ~=Ne>mEl@sZ>G4C7_xGvtm*wL6FQ5H+iuhlLgPVY||Iqfc z*IhTh^6M6#=BI;Xv7;4|dsA_6Jy6o?@qZBCzt$Rm^ZO%L`DOhz2>DL~-|0ZG%@VpRE7X`~P(7PttS!x#~~WOMyahy%{*Tg)WrFSPP{- zn7aAPC7b+);(A|2r#ItZCeYTOcWwLy&|0hgr9OX_uKuN8WdD0B-`Q2trCem^j~bUIJZKLx*a*7J`F>F-4PIY4P=nts(4Jzk!$+KMmb z?`Q4;-9117@%KMiA4KYv*SEME1hawCPPG4u#@FY6(pn$3ks?0j(|_vzSI#RGRT%%d zD9AjZ?f+u&>6h87t@1Yv`QHn=`+&0k_4)wtf3jY=|0|#VypX>ueX{oJN-yQl5BWcU zaz6;P$G@>kzCO*vkoys!v@>o07yLdc=av_(`D0$+%vFCfU$);z!S^wsv_H*1$@qu- znJa(Uu2Z)k;%CH6z5Pmh?mrfw+|QR;e!V`~z$=%0RlLn_f%^fdfr?HS;^1juLi@YF z-*5B!t+dt$=@8OC0lKGv0<`}$>#J_J`d@CpPl8|(FiT{x%l~`EKmUCFN&gX1RLo~^ zuox)IuluhRdU=BL=2`J&{Qk<-eshRnfIR+v7T2Ex%J!q5f0L|FLiXs&|LkXf7HpixZ6HEtno)zh2-869J~gU^`yVQ{W`b#(HCy9o*&qMy$HHjfwuovdUdSM zBkb?58Y?7Eh>wn+8>GN2r%@$;{Ieq;aRD!(j0^LM3}`e*;`N}o)BucO>6fYN?+``ypjUq0>|Xs77Z zmA{mq?dJ_-^d?aHFKs`+wHyBN^4F~Kw|*|bZzXUQ(5^q4zmxS>sF2)w{zU38b^RwB zzq#s9`d@DU$>U>JJH^KadML?Omt{P>b4lYY?1z~F{ZPDXiEs9ar1;idh!6b@)4KGY zne3X{r(Tyb*dR6&`<8l$bNkc3=KJ`@vi}EqPmK?LL{CV5g7Y)=M&}WA+K^jE4!O0e zdMNYaUeh1U#D1rL`X-L^SL9FWIo~0HU#+UDe|_Lnx2?-Ud6UP5-Z!<$^Pk`oZf}YA(H9Yr%AC-goo9pDC=|0(2jxup=8Oo$%IurLu>8Kq=Rkr!5g$v@p zYHFXK?wsu~;?c7@gf@(aHS$EE=jxD;=qWC) znsuGZNpeR*IZS>;Pvx|+Hu9r zj;e9het-P%$+bc{6IYw9b_U-o)%c6}RpLW>PHevi1%au#>ii%Oo%H!vajsFb@9qq$ zr)XFo|KELY^*+px-M9Mp{M(|~ZmXmUpF}%r_t6c{9`H?6EqNjSs{y%59`q3&oTd6d}~b|-?}OxzIByLeCuh( z5E9~Br^n-q{_jWs8{9WAKAfM-!1dZdIya}g{E}9G>~q$JZ+v=>8C>6XxC45FhKr3$#r}~@|kRk6lF)_K{+m^ zyS)^}my&$uPU_#6%5qWrbC0i(<3sYRo=4-+C`6X&X#L`?*8CQKACV0@(y!E0rkWna zr`Yee`Tax<(9`&l&dp^VpOs{O3uNUSABW>DXL@PZtiM_iBo`>_iTatu_~caOPsZQX ze$%C=c537%|LJ*oD9CX@nNF{t*74pt?ezB{r&59ASa53Ce(T_RU7*z8E`Q-0tCpU! zey6p6HH__5wQ{GPZUKy0X@)4g$U5Ky+?Jhg6C{XGue?PIzAo7X9<|9wDL z2$XiJ_y1V%*arvZZnEMF+A1XX>fvC2x*(9|akp9Trwc;<`yzb-ko=)J)%%~vmt*;I zyY+n=e;>FX=;{L{9G=vFrCR?|FPsT__T#EQ>L-mnP15Ag`Y$pWdWQg|{-UZli0}T! zvi}Al|ARr-2v~MKt@EY-N!@?Sdg1za)nD0id0u14eJD`MNqS2BzMJGpm%l4L@iSs_ z`#TJB_bF3;J^qP4`1*ifwk3QYMENxZT??Qbhwk#n&phYkAun$C3vk~+FGZ*H-BEK~ zkakMrm(Q&F=k--w%b%?NT-{2s-_aU$ZGi&x`^9aD@1XIexqrB# zbZu~O1W?w$-oNMbO@A!x@toEEQ(u2qKED)%{L`(!BO!MOpsZ)T|5Mz2d#|y+uWc0a zZwI>eK&gK{eyQZ&w}unUWy(+eSNiYA-p`*H4n z(&gU;e7gc|`|-Xo_Akp{sF2+G`A_D{{>N2**)MVX=?+19kU*s|*0#dpqq0ip>lGcjiU{O#c3PYy81F$khVr}8OZmC~I0ofD7AX1X@AE2X{|DLrQ`euQ=kfPo$UPL80W_e;FLfr5 ze)zN<^83DI;NV2MP#X3A>9M76ef)E^H?01bzYjSc=}!Pk{psg7#CJwY=j){& z-zn{~;{2DZ{YbyS{^ul=>lC0&r_0~GX!nL6d}zhj^Z4y#&0ITP zc9FXMN%~00e>emg36$e+-F^_CAnU(zNIwE}rvha^rTyoW_yqFH*8EGwjbB{#m#qD{ z(#v+i@}G`!&j(69>+iENPi)cekI!U$UBRgE`C}C5MgtT2pPjq!KBVMJxxP&C@e0Yk zGjMPwQ2NO{r2Em*f9mfqr2bO3KiRH${B;)Oz7r_@gzmrl9J9UE$WMI~#H3QZ|LNJF zyBsL_X!--*Dt_|y9ddokQs0-J1G-!*%Z$1}v=L4mlbo*&s zt7QG6x2^uWnL=`J3=Yl%Ce$C|Lu~t_a=O~Dl#AQHD?RZuVsig|0puPFlyYkSiRU-z z7b@=gVI25g2$XVWDtdm9dM#8)p7!|7Rew@11tI_O5M%-gR2udERmDMk>Lx3`l;7W7 zjP#cPrJnWo)q(zZTJ1me_AC7w+s~!odl^ucQ@5YsS9#+rUF%P_ANK!OpxoC3rT^C7 zci!6Z;ilj1l;8Jy-4v30F&tb&7fPe9f7P(<<@-(BZmo~N&mUJJ{bZoDfAatK`f}|5 zCxUJgP}ZMrKS|bCK=QQP&sE6iYM}K0o-&sc=YNqrZT_zHpUnPU>1Dle|9344G8HKK z=>8+g_?yZ<1qaswB_FE)|NizT{aQms<)4Ow8-UV&^!!!xW12R4c!%}=@raP#wfzak7r@{d2_`FCF`#6(7OR57R++6HxY3djD+1H^_1oDkOKde`!}NziauW zT>SicGX%Mn1S*Yj|24ns#97(ft@ye|ijvL5!7V^p&s=`#m)L)~$}j7W$1kq*vR#p1 z^1Rz1_be(d#T;)%<{)wLvll_+~e@V~wcNfb2 zC{U)0*S~&ztpA0ze|)>}`RQ)Z%>hdN>G5ZFoo~DM-C^~g-2P^R?jE3oPRg9GvF5+| z`vceVOZ%(1@z-1k{18x+w35$%KMc7aDN}!X z{7}i|e++Uz4wQZ>Q;iS4AK7lbzvlkOwf?1DvHiKyOS!oHE`Z!m0;Qel_@?LHZ8hk_ zcm2a~KY-XVicS~e;0d6dfAf&8#FzZ(`ak#mOEUc}g51TxY@h+{zX#-Z9gx4?KU7>l zCiLG=;ri1+>A!S*?QuK0dEcy;-w(&SD$35a{$#yy`+o)*y#SQ`v>rbP0Sara_y7F; z+hWi?TPD5spZmpsFIn%8c>c##{$%=p4t$>n3W&8+=6t?2|I{?pzbk)fmramw`u4X3 z0>229<7aK>Lx0jcysWj}U-0vX}>fs^uoBr4e7f2Hw|41rc^wp;y4Ih}m-~;`kF4?% z)|hLJU)zWLSAgyfpnT3t9^a1S&i0c`e%JC#{d=MOuJkoY-~ii(^vUB(S2@L(260B& zIcnnm?-b5jl!dsY-+dFO#`~?BcqED^CHbiyGqEpb6~xU^I=WBkb$tduJuWmqU_?#U zQA#z2L{zZ-;-^`NyZX~N$ta%;q^JBM>f*Dyt{XG38sh4zE3;2*HKfbLK9IItL{IsW zJQQD5-O$JAI{6DeH}QP6z(@PJ;75Lu(r4j1(Ru2)doMij%;U1u@F0MX^g;8yl#b%b zcEf(CNT+r~yj~T=xBdtE;qnCAlq+K0XFeufM45O>TR%}%ZP3m|=QORU%zm}Wh`f`?zeM( zuF9-dt6rNiQFTwZc!X+g#8F4XeLP7%gZT+@p~2%vJ>tXin)G#`zuJ(4eN@ehZxeeTokx_}C$~2I1hpHw zpC8798h=Cgsa$saD#@3~*Tlo;Abu3>G)8)2ek8xK56UkeapaUQ#hufAx=wM{iTTQX zZ`sdeP3U;?x;?2}WG{T*(B&ze=*OxPC|@c+om=w9$Uf+LM4A19DSbZtGo4eqeATA@ zq#v5Kse^d)#QP>rmD@x0RqdxOe6LQ@`ZM~>R}~dcI)B0H$iEs-x;Y`9bhAr5DZS5= zy!tPEv%?vr>H%-KM%?B@pzcV zfB7holwZfw{xadiUnYDk*UR#FJ|O}+Igf{n`nh>q5Wl~{8jtF6K7RC^mrWN+W2~hr z?!0Yz^P;D%`TT~8l9f+?p z`$Y1`?)69VB75ZfZ_%^;?GAwofwumm&kU>a%&;ADzYni(DE}Uy+aE~n(VRwAN!<=J z2OPc8dLPK&6YUAQ{mP`zRJ&Hj4S1ckUr5`~|JDWFzGc$y^2cDmMA^PM9&azu?F}S< zU{3XZ*DW{cF9H`@?I-p55b6K8{ps2ad~_6?xbCo{!htJrHzF%B1Ib2=dP+S(}i5L(m-zlQPmE`#bgt!>dQG?f znEr6cJrpSU=U}%|2&!?q>Nu&Exl3M}V#ako0O!^?EQh=e@rvbCWfGX|0glYm0*;fwKSR_qph>q~%KC2yzU|B8ulw1*<$XBYudDq@y?P4bdNd*04HslOy%no|Ej$GPZ!AD6)5dQ%b#TYisa7YC(^f}OTGT(xTcY+ zDE>W=QBR;<{=fR3w0!oPZuyJC^7n?^M+2q(>Gfm^A`=TD8?5zcx`y<9KsNwL^FZcQ zzYo>kZ|cnTmi;#m>5l?kU!c?6`1S|N@>Ba;VSNw6&kyCRKlY#H zqv!e`2)PFV1r&D;*MpJcGLC0(1DmL{*OUMCj#yMllqTZ#4tb}{~wF% z#{p$K*Y>wE{yy6No}r0Ca%cY|<>LAujEqhIN<)_&=o!|~tANPiYk)*r^d zZS3_Fc|DS0pc?^{{Pp}z@IBH8*7vZ@6q0+V;9xjV_H$9h6D>L$M%0J z`qTas<3H(Fx&LwHFXdqIGsE$#w7+!w zANK!efbW?=+5Ww7zc1N-n7(}aOTGS+`EOVLQhv6dvr+B~fwG?S)WSbIPF`7Shc$lS zc=~fdcP>zXet$J5i08A{(@fX?SpQ?d@B(1A5PDLsVCik!G7iS z)cvQ_Yr6H%^*0uBj|0knj`UP{<0&qJ+~a`);``N9^8HROfxwpnrT@_O7sPX{w7%!A zr>LB+?N{0l`(Iaj=|9+hCqR%{K-qru{N-)2XV-ck`<3sNbX&ZgGoRsr;f+H zY4!LEKK{%vAc8pRee~$`3LM0MlK(D$T`Rxwz^o6fc!)xUhSl)+$Z@tiLJXI~^$H)azN`{b3I78{qec*Wvn&Kso-> z&kujG-`Z5rT@RGw98Hh;8#yjY{r!Q|YeNNg-ZUKC0F-vB`B(D!Ls$PN%T;mhZwB;s zGf>)(j^~KKK3-?$1e`^S2W(tZjR zl6$w};5MKvKc3&b$~%ARYCp1FrrUqB{oM(@%>l~(N83-v@Vq8FxBE0t7bH_BDs z!ofX2ssGT=DS4gW|J@C`*+6M$yL|e7Ov)AJTTc7s^1JF^%H=7Dn>PQs$Y=vl>M2jD zecyP}fBQYZ7cq>ZIw|Zw@5S}!fU^DQ_g}XSDmg#<1E1d01j%B9L;CwbHxFp{zr|JC zkA3u`cl<)!H}pLfox18z)*tKdeq{6*Q0iHa|Gw)wW@+oUlaAjW0NsNmkih1uIKG_b zjT@}*4;v^-<|@CGi{*a^89fY?`p*QPCD!v_>ha97U+4LUN5J<{U^dWz?mvTH<@JA$ z8v(s%fwuhWt6vVQbIt~TFWe6x#`AacaeV<$_7mEFb&3Dpvc``c6p}l)U)e5M{|k}P zVxX)i-F|})wBNGEk34_<1n8awO8NEt@x4!UXt`;#6_1yC|1IU`=dVTJ`wUP*yKwv^ z{Q|Ft{1gbD2Fi5Q|5o1hc+1!RQ|~{dUK%LUvnzjT7lk4H^T_B$pd6=b|KBdY-}(pE z{CD?|{squ20ZKlZs-pH=l>VQ`kFMoUX1^~%?o~kPfA#pYdSU<8y8qf8_YJWBcp2AM z0;QkV^zr2!dTy}h?^}iaXEEsB01AlDA5Hk>kn^v3!}@-pMM(b&2wnwB{<{5OKL_a- zn=9husy~@8+wW3jvm~{$%=drI+Pm|LaPhF8_4trTm_Py1h4Xu(nM7>-CscZT);# zwawP|%l!UpHR#p=C7)>c{3x&g+xlbwwGMKxFSGpG{(|_AMb`K)_4n_x{WMfy=RAH% zR{tB3(I%kequU?$>#ao$18lA6^er5`4V3+dE`RW=yzBA0wm<2Ao1k2tmpq<&vr{~E zpq^N^`gmXy{Z~~jEY7IWcp=5d)&w82cZw_g5BBT*(I30MtKO3LJ3q)rKN%XNc*|dW z6CX%%wjSa(IZoT8r+HSUH`gh?xr%x#5)b72!w6yitDb5bk%@*Tw;E}2;y+*KINMg-k0e!aGm&4deSq=Pxnjw z>em-X^q=bY)v~@{Ez83Gn7gUFKKSv0)-P5;{5i?#h5Nx8zT__=N%lo1eylGOk4pSW zK0Y_`v{YWcZtA-_;@j!It*=DA5S@{i`0@Uy!DCbxYR?hGf0BLjby;36_k>l8FI%-3 z>58+Ve~Ra>5}q6SME%h|zH*;avQLtO_5)Ccd!e{`SZ+1_2T6ChUsL7lrBGv_b2-J)5nYk6#vfY=)OUc zgXD^+E_x#D#RWPyr+WXfKHd6W*7-Z1zGn-r7oVn(Jly{`iVO0& zM$eZ=3tQj$%xC_7L=a%_@Odp0*J}c6h;%tB*uS{VRx93%;}xnReU_l3lNKr%?(W!P z#Y?tPl)`nqCH3Nk^fbPVAVWE>-R0LEGh(lq*-Mk|AK}Vhmak#RpXOJxsXzktyyA?F zmpwjvwKd*ndRP9k{QSI1^_2s@q=)~<-gm%PRb>BPLkN$Mke3hz5g|rEL_~UrJM>-z zX)4VIf}&WkqK_g1HdJhg3JQn~5gRCIsDdE97YR+U?PhHoU3LHS?tIUkoO!%;US4$b z+t2@f^2zs>IdjgOIdi7mDe5*w+=%aOl+Wt9K7Z4eKesFLJNEN6dA|7V8mBDeP6INK z^D=UZd4DM#0#^j`bf$=PIosd(dDxf6d^P>OJ_B?#9>wWpJFuN>CcJ*g=r7k2Aaly$ zA`{5-nd-khW4^jBKeqYL<3n+pE>bAK~9S#U%p4oh)2b118W559NF@oWIBYs-7==4#HOj z@^Fd5J3ge!K4ZR^9-MK(+f6?cAQ+c%2|DWZ*ZTXYDNTvWf)p2nikjt6xW?{Y$ ze;)Aj-iam(DL}hhj{x>elJDvi1UA`J)_>|yVJe- zqWg^R9kqOVTm41Te{Bd-7s&HD-|giMMC>%am(=k2Uj({3Kwkd!egQn*;$uJcAa{Kr z*T0XwU4Crkk7hrOAxN_* z`pelfWNgpMyCU|RAo-i%qA8HuPhydszry7Y2;v`a`kN!7b`)Vjl;UJ&eAgSaf!^8z zx&6uS%~AH>NASO_{BgOm1@Ui>iw?k3+fStaiQYEHozk{eK1Df7r^; z^-ATku<||9athA0Xw6x|RM9=U?;u&lU*oT#Sp}^q?Th z^=9hU?0;$bZS}|H()ssS(I*v5ms1Jpa-6<+J^;w=RQj(!IRCdF==uZAcA7f>^y7&2 zN~90l^mF@*z5XG7O3c{x&(o#t|5BuT43L4Wzi&Kt;Scjhe96zR3w89%AN7kb2O%%N za=*E0`DgY2`J^%5$rZ%MR)5jbKL`;G26F!|`)><79=AgY_kDfwlD`@D7yI}rw?AF~#GC#r zA@?;v26Dg9tkoYb+jsZp#(txX1%5 z^87O=_`rKnseplfy!rP7h zqi(-k2fFKlyqwGV_RoZW>y7c(ssh2|ZhwwOL^l9=IZ5>EU*3Mo76=|Ue_Q+G`JWXt zf1WO#|2H8aw*tAH%k+D{Ls9!*H-qjLAoss={1EGXx%|5RwoQLD`3py{+pl9GH+|pa zsDgV+X}j+bcOJM*I$l5UzE$G?eDM3KVE*c|DFK3 z9|CeY<$T$Hq}A>=at~kc;+i41Kh9s5zo|&~G$4nj{(du@K6d-#_7f1q=K)+i z2;})h<9Efk|M@WFeiX>XNPZxQ=?d#=~20_>a_xOf7{(@FX>_Zy41{5d{ayInV_PdSsp4xvs4Z3H6-2ck<1HQj-{ps&7&wy?wkk>z?zyH79joZJ@ zzvrR1Pk;b|%Z;DaWsi&-Y(j|Ht(bd;g8wrMBPKp|>}H zWq=B({SaAyQZQTjdA{iS&z7FswQm2s2|?Zgaz8Eo|K;HcJO_;N4?TZp5$N6m@^+fE zf6PDN`q%A0Tlu43$y=QGZ@KSJuF<8u_RFk1c=R zE~qQO&f5P+%fF?F=mUzdAjak6V8qA)*yPo=)k%8>;hec>dM$`F{+$ z93U_Mf&ZEDAMSsu`{`eWbgu^T{FnN}_#dZ_z5d|&qU(<};JX&c%ZVO; z_j(}L6V-pkxBt8Wa-RfpJ23WVw=3O#*bKf~fV}>Y{Jr+)$HsoivD<$%{*bw+F~Te*Y3P-x~kUeslh&{{FWE1UrG;f6DJ)v%VPh z<2PphY5!xJey%@9kes`4u^Y(!jI>|Ozu#zeVkL!k_E*<6+Pp0dhN+_UrwMul|lf?h`=n{}Y9?E_`0Xo5uK~ZvPzz-4{Tv zXSrVo_DkmWNA*Hs=YMJcZ=3%-U$p(((sRAk5J;}`B`&@KCesTKrT(yAYFYNYg`ito z{_)D6N(?=0=JSufU&Yt<`&CRYBjykJW!{iqN{Z6oR(t2EEx%)*iJy)ACIaG1d5Zc6 zC%b>88V_yv7r{Ak|rh<3B0TzEeo%@~`!SS_5???(e!-OWr>{;C@9nyD)EnAp1VF*4tedGmnE zU|*7SLl3%~yjAb+bCbIT5l^b{mcKocEUulNB>zgo?ujqa1;y%B;UDEkNtE*h?9&jL zze;b8p+`yw^}FakC}>{`MQ7?Kfbvor=^{FchvcQ_LHG?k57B!qj(52l|AgF`+(@+eJ@KFQ>TP~^gL5|+fH;2{(=1jQO?M&5r5xk_GbDO zM|>}L!Km?OhT?NN#Y1ugQ2ywi@(1^F{|>ePPCClH4)>qS59yiYqKYqrz88t?f8Idv~bwt?_ zX+1^+yC#fC?|RyZjE*Wg#~D$sqnoF0Mr8IFae9}}nyer3U)xV3Rqm&;H)21Hy|L`4 zQIb;TVTw5E`LUlO_S2yDQ3Ap@2GYH{mFwxQn$>CT)NkBrc<(`Il%U%ZxTpZ+{PW#C z$!~V~`PLI|DY^mTecz0q~3xfoinZ=IU295ud2=<~nR5jK-(7&a0)-_;)V@=tlob#1L4a7 zx&GvOfUowRbK{lk4g0Syh>dOjas5#}Y_C5mr;2Y@oc#58;u%Otc_6nl>ennY)-%M; zpUS&pE?gWstCFZf!u$|{ct93 z+I6(jeq%jN7oYwt&{YR={mJiX-uJwHQO|Ftd8$=F&p>_;RQpNnH|A3`5EPEa*(>7# z*ONZ~fS3Q`^F1XCa#y1S6+}6nnd6P8eQL}H(dG9Xgs%$Z`6u^34}T7xx!Lf)*#g0x zY+RfR|MB`iE?4aN$LV$c)kZ=t0&@Q; zzvtlma%$hHV08t8TjyW2^w&W|^(n%F7+#O%{gxT|r|qXM!q)?G`KiBXwjX2HAD7<| zU{}cW$4<}NpEZ2`4IxM)5~v`C_m7V6BxZGwwoKyIgrB6nKjGg@># z>~z{#YJ{Z?aJ%Qj(8(g#na{H6? zQOXbb1KaY$_2T&aZRv@h5;OMpGqyM{P^Y4mu zlYioVn(Ck8J0G?O`;cV?U-u&m~vVzb5VhGY3$o+?Gzj^zq95&V? zYkFJxdH(D2*9Uwr0rGUp{-3uWz$RlqBRzg&%b&-q?XNHR_5*T17u|m$cp=*_I{op= zKLCOZ1oHY*`Va4Cw%>I6ZTUybzj)~{gWQ(`c{!o}Pp;8^%@PP6xBdqqqQO93PUL(% z%;)5K)#E3&>F4q4_VW<%9SY?2jO>3$sXq}s?)2NrAFcdc0YR=lrToahoW1UOB(R6Q z1l?YVi>rX#&Sd+^`U_CU~OYHJ6HA1>NmH zt|#fg+U2gTSL0oy{;4hy+!>3D+km{B5r5Nv6(9ZC<{vLV*#gP6u77yB(CxRo5YYr6 z&p$c-K5bszikW#Xl`}6`=qiEW&fT~e2ju!s6fK%3j;=NFJEQ%o^UpT@WG{-1w%>ce zcRY}{A2Y|vw*s=r^}3%U@H`#Ea=Y%%5|X9)zi)<4&4?Dc27^jv?AFaJa& zWE~}_AjRNrFzbLopq%@{xb>TUjuSGmFp3ITezgch$DPIb1_sPxN{#a zrU1E}%Js}=)LfWQ`iNVL2*Q}7+b@&x{QiRP{p$w)_iL^{ZU2R{zoP5^Plc>c0?qQ{ zJh{-SknZ_FZvQg<*R43?x)r;k zj-Njbx_Llu|8hOx0}cN`lc^PiV%UH`ufy)8JU{$%}i&xqI49$I63|BszN&wpuG_`L#rl^zttP*eZ>Ty7V7 zKTF&6^L9aXL2PX4x%|5PypD*L1G)Xl_Fu>MetM+Seq%ox-F|rkbc=vIo$~u>l{Yq2 z8f@-o+gu>Hvk(_=0y%#5dA{iS<6X$T1ZcK@hK9Fu_}5{h{Av4r4|MOJ zGX1jtIc55b&-}5akb4=B+o|+F-fxr9f6nszUmt+(LmHkvI-<3#U58DX3{TLTHK(4?qnr?vmKO+S}Qw;w(O-%UW%{{@SA`*jQC-VQYVhdNK}E5m)F-1<7BK$Eh(mV*|Z_M)oG&c(g{yr-uhS9TOL{dN37@mhq1n$ z#>Xi=c~}?zvkP@%{pR<$r*MwwBu~j$*zq)Rq4)dEz379Ja;1ENAiWd4LZT~$_YN?C z^_L~Y=byH^e@9{otUpY|y4@tK-%RzxtN1d-{CVMDNt{<+;t$r7YJQ47!H;k6)aUk0 zeU8@kp5{MS;fT%=Y2NSO&;$9^-*Ip1QPZjXNk_b7cR}&Y#7KoomGyrD9XgWAo+FH`*eZ{c6EP*c#-Uw(n0Nfx+guB0Uvr!=^}pgoG>W*zc{wq z$o@g_DS`B4qI{Em5`)cW!KgFm_dREos^+x`AS0-jI?(Y<<{D1KNx`9#Y`dG3UQ z^kSr-TWXgC@PN0Iq<_BSx&gFELAwoWWB*zc2A2Wqh!Ss35@wUHg>A7Bgd$t}w;qq7Y(_b3tZgR@>XNWzIynES< zTaLMP@ZJNV_d`s^^NWCVuWnOBjWbH+pWK^ke1F#ad6T|tfS!TqD29IZW&Y^PcDq#z zz6ka3?T^M)(h9z(>rg$B^VpDDKd;&5o<+~XDA%vhZ7MFx0?D4#t^9t5^C;nG1@9mpWmUWB^ry=G*Uby3&f zWPspYMu;2H2Kzy;F}`2w^*iMdGz-Y}oFRI(`KijGGAoSlmo0tyGeLJYkjk;TmGc*> z-I_2n@S$;@n_fSEI_N3_$&aYp6ft{3cmU-cWB#TdKRE+*<$`8}mERFiw^JDxRp>!M^uM1M-|^3LAa6F1+gYMekJq_8|EPUwpa1ddpVRC7uL`-V z0U6}9!Fdj!8sm?Z1ckFLf1JP0e_ML4KW+cE^qha}_RHzD{O3avHGw=F`o}ptjq%?) zaq3UYe*yT`0!H{>e1GM3S=;yjw)*4kpX$E+7lLnXAm>ARD!%his9jbU^7HyL5$DnU zV2mHfYyUd`>Va>4AkV*icab-4bHtcGTXgkL1MqDK&G+Q*-+&@U~AJ7(b9e}+3C)cma z*;7BxIcS`R-9jL^(+(Hyfn0t$|2WF}Ke9*L{NwS)o`2kb_}S)kgxtM>+<&Bq+>Ub} zy6)S}M*pLsuYbzd?x&=u^0UtP{;T^Rok7c|OVV>-~yv`^7f>T(7$R zxCH6$3pDF5=hpwcAAP+1`+;wNAommWeQBXF{#bPFXIuGcoKJ~aTR>cAAT9<2x&M{r z_p9HwUe_>k|4pL56c>YlX8UXQ8KpW`N{YS-EKf4N?=1d{6v!NpJ@Pk+9fb@|gfg53`r^X1(HISD-DgP>o<$90j`TfZYDW{zuKfOu~Bw*@A9u^-ug1ovuG@>A78I#mqmN z{%=4+ZUpjl7XR-LH$m=Ofjpfl82>+Rv_G2&1b1%6#VtT?KaQXO@!Eg9`OoVgo&RGY z_c%%rL+R%>gwKQ7Y>c1j@vGYq{&pZwr))pm6&}F&)bM{*1+lTU-)QN-0}cd)^?E|o7Y zSkBdc{Tl+^3qWo^a{s^fKW?i~Ezj70y`N7%9(0p|3_=ZrDvx>Yx$H$}LAMidF_9h= z#86!kDx&@mw_oWO@S6m@56IiEQh!m#|0q7&{Nwf;d;5?0DKT~Zb3f#s0_5dSj=!y4 zQ0>Oa-x}*j+Y1D@uK&6G0iS*^KvHbq?orK9zjB;Q-TVj z{C=48?!E2yt@|Qk{D*?s+HW-bdlV5p2IS%7`3d1^wuf_#`n!QBD*lfnqNgdsf*6wH zeD(8tZ@*@@v3^bOe>nr;p8#_C<^Dsfb{zky)Ow@;t@{tQ`s03Cw|}1m-=~1wes%rD z>Gk-vEq`9FV)sA1Txj}dAoolluRlos;`{yAR)1XoI{%(Sx}OJfJxTweeu6*O{?nE} zw@W`>YyZvZb^S3L0?q+4ko)I5d*=15w*N5q-|}1z3TG=nw?Ex}c@Yu4K@l=+B67xr zKfvrZ&STa7|0RTf70CHW`@3k)@<~5!GxqOoE{M%sT)a#V3ZnF%>HxQW#`u%ozh@r8 z&j)fnCkkgu_yfXb5sy8JGH+^+z6|0(+ZgOtv~$zOE#`x@ka9mqho zKj}PC-Y=*tD4ebQlwQ!qOwaYI>yL$q@GTOkAc{`@_!F-evigk1 zZ<+D^HTL==n*S@D{HY}F%c-1y`Aqotr7?d?pWn0$bjyLfoJs%v zKl1&N>qYzD9He^{ke44he&fx5IBc|^>j?yRR^VbKFv5Pl`tReo>pw1k?EZtdODp*D zuZG;80D1pkrr$d-_pmX3R^6vx1G=?922tm4>iXB#{(1U!{>4kb4gzlgM%cfXe}|&x z-+It}3gr5u`se?C`=9%D@~e*X8PdH8$ivC`(}zO!#?0Hm$6uWG0>R^Mzi&oF2TsXf z>VL;gwTDz$>7Gpt!zkPDWKUc0d@GRGAJYD}-7uuoruD}B`KAKFt>x$KhpImPHbk@& z$oWh8G5(!O3_aBCr|o#YgT1GlrvCUH=db<0ZTaE;Bi{0>{nsvtx);d(r`$it8$bCp zqW?iD+>MJpKwkdz`h9Mf+J0@*PxhkNX!&jFdA*|j*FMO-AISZWZ2wFR_n(Sy{b8Ga zo-exn5`F#rLHqUd?aPST$9v1aBoRJU`&e=U&WHZqRqI9ddU&3HdG5%ee}B5-o)Y38 zdEsAz_%-vXloibqM7sAo4eLIWgrf89Ms%9kK>j)6^q*fptJ|ZruG|qF2mI~YNymS8 zyty^b+o^^Tpn8AP3tv%I|F~34`V)0zdgs!Jm*k@Nv+GQcxcgq?ST!Y zMcXqLPrt8LKqOtZsHFVE`Nk!1esr?IKPaxKFnL&o$*19Yf}s5a`1*L0pM!It6OH&1 zaBqgsbCo?&x{=Mb~?d(w9h>*|w@b;J~oG|rhSlnbk4aB?|8p}$o762Scjbs zy=C%q(fxJavflH4T0Xk>ir4c&QGUeuGe(Rr>z_|P+FQ`9+W{TTZpFO7I z0kTWlHzHYF+W6`07j7+seJGNJ*X^m4203(kJo6bw_jxGS6rWs=9X_^w6s6a+Kgu_f zhvG>v_-K8qbkjYRv!H1IZI>Mj+fjNco(z;5t!L#2NT0-)&Ph)NUwR%e&KalYWdhTOkEo>Kq$4;kVnuOC$o{74=%UVX31qp3gQr{!1v zo%B!dNglc^4G*`0chbLRc?>2-S5 zdVJE4=CATUQxw(u`j>{gZT@TP>r>?V`u!2>>-XENufJO$`F&KLFP?w+NB7@& zuOM=L{aJXQz{1J(HA~-IUwQT4+=mN3A9}5zTWU9^-~s2K@3sq1FRyZ#pYJRCH`HFF zb~BB?(!GjK*5|7~T(4_gigItbN4iC-%@^I81++wUxujSKcg6?!6gHRic zFRn1gmtx-^;m^vy@({QJkn^Gb$hwH{E0oT{>0jH=nTV(&ko!5wznG7&R)XApfmENU zTe-fp>2-_$w)>=e1KxX(b(LR#(706(yyyCt`%~;+d+u`wPq=Lg(uef?w90ti70B&3 zLrkx7#`z^Sf8jPLNbmIa`B%a7+Q0w{m+!7y{V#b!)p28g>0W|@W#Qs{Ag^a+`sXcQ zQNH?7V}88eU*a6lRRuB#&+mEZ#+J#uw;TSifuL~NxHy*{Fr;y`qPAa05F1-pUDyBBL3bXI+m9Td#rYOIU#klQw;tc*cBRX&ZTflrTeZme z*F-`tpad~&AVS{vvAxFrm_=9r)dIf@fz%FBw^V-=-}Pk|LGBhnZhun#Dcg@Oxa*j4 zK6N{R;7%P}GzU_9Ox?=!saqVJS>=q#?`vdFbwSq%$n}T%Cug@&|JD%*?$pCYeR@z3 zbA(X0f8PGOMDKwMAKeqjGRUD|$Z^DluC?4kDGZScG;(DWaF_WEL5 z`MF+$0^&ODanXq$6hztn8T!b|A8TBGDC+mI4hY{7$n`Jh=R_%g#Ku;Bu7By*@GBg> zF29`-PZuEfpDDtrBDV)yvMKKRo6E2H7fybi{%(-FJCNsdzDxUaMQi`r@{i^}Z0WgO zX#494xqAV*o}~W0@_WFTUtiDfKiKl;`C3zeopUiRE};hnG1OS(p7MN2U4QgO_&z|+ zN4B5ge|Wycp8s6`vA2J@UbX$$>Mt67KcstLLA}wn+~09}$$I@i{N$)h?Njen&c%X) z^vA^jdQcGM_>t1zH^%;Ey8mJ;Ki6OE>F4y?elLZ*!+~5+(thvVl6Kdlhg{Y_5WNH? z^DL|E~9Ev9+I67O@`xyaLa!1oHAv?brCnpDDi;8=Zbz z`J>Ta4Y{uYazCx*=l(0+@)x`PM6>EKK{V8+TXZTPP|~VuMr6D+=GibK<;Pc{>}+qPoMF(FI^g^QNi^7boYWT1myXY z@6P_B@`E>RJK|Qudj&lO-P-0KPgk~2KOPZH0&@FF6m?Qx?zuK})XlaEPX}^4m-~~vRJwfS&>>@gb0H|YDY$q9$je`b z$ZdP2^x%h#^~JS(`KN;JK_Jin3^CiAH+Rt3AEc&FKMiyb0J)xJ`yKT^w`;w=%r^hH z{l;!TT(6FRxXwekco@j-m%^Pi`d`|9Y~_#FemQ;Y^+z=NN0IKwfIOV6zjLd8^Wl)K z#`+xH{*O2PkAv^iKyD`)!h0P0B;xx6$vFdbPXKxT$^K_BY1Wtv7e}>UTlu+My8eF> ze4hex`%e_=aq;c{JOjCB0=fRA{xN>T%TMh7m+}j21TgOQ(=0^v9FWT|*XNybf0e3n z@+ZGwKYxeYMV8P11;{-c$iwON6-BH6c>RY?|BI0OB_Nkm*8goLe_FQB31j|2D}msJ z%zw>)E+Tr1B4pS^IJ?3d{OmE-7q#%~uXzZ+fYISbuJ0DxMvqG9y3-hcZ7eAGd|bQ? zpK<&Rf?+JD;WkLyL-?+1|kLm>Aba(`6s zeDb|U`Ni{2_o7Ei?>l>Y)b__Z(5(k@`;p^MI3I(jD|Y>Jz3TG! zDfn&xa{HJ1^M1v*|MMB--T^fANA;K4{vmyA0^N2X4=3#p^*=8^dj9BU&}{)yyy{lA zzfga2`>84r+}i$lygL83BBE_TE~o7OdH#E;F@6{O_zkzeqVr$2{)4CAiCKSK|FO#- zqzv;=fB)Hy=X-#r{i(-a80!~e=bwQ16=?st7ti+r&GAF^xcIIgiN3ylzt#G7ZyjXC zGUD!v!q8U8E#7`JC57BHQ}*miVLfz7#FqdhKALZb@`EI4DZJOu9q&i>L`dz^ zvItMl1LDkCkF5B)LZVRTGAF3_p%MtE`Tpnisie=u2s%go@I23znJ8DVQ~EM--gqL` z@g^Xgx&BARdyR)^SJfGhn8R*0ZYp3Q{BDalBuqnA&eorB3f8 z!!FW|aG7F4mHhEl@=F`fOCvnRtMh@cvnIJ^f7kozaOyr%&y$)hnAmKAPPfX>NIO*Y znZoPFR3yfE zPN02_49Js;bVcext$!!|Q~Uw3);nK0LkzewyJfGYBp0PK;HQ)1P#6?{-*Dvx6DF4v z7kWRU%M=%S3W?;e=&1Z?{V4yS(@*!r=a^hy-Q-~%KRxG2=^-@rMDo!4V3Dn7ubcF8 z?f;AG+3!&bj9AYeew;JzC-*zNR}i_Ly*1t^uyBc@*XzgHEIRjlm*V$c4;>*W7`1aN z;sI|r=DT-4dtbRSb^gJ}lR|xc`b5xCKjJis*u#AH>7QpmQLWrTW53$AK0WbE23?Xt zACjZ-;qgq~&#&#%Q+VDEq)0l85#Bx%D~$d?1)rY!e>{HBhXleE-~OO&e}dZu`D6R> zXv$}$nQZ9AaZ=O+=S(1joX#RBcl&&*fAslWsUXMzayjLC7SGXcGvZ;=iWrZgaA}|m0?8h5>)Q|6sd}#M$5#KuPtj9-T3G#)-?XRadUXWS=dWk4fCpSo z8jo3Hls`QlkO{ief!t2y_XMmb<$8^MKLxJ;Yyo!88Mr79~AQ0R+8yA&< z+)f;kh41;?u3|5L-2P+tf1F;IpDf7T_>}Ueh(*qM!w&s+gzp#cwDt8zdaVt5uD=wK zkM%56&Q!2gK7BUm&IM9Es&1*jekfu-3WCQy9#<6+oe$*slqj;ihWb|Hdy=ldtAVaM z3B<6GKc9og8+-mov;XtJuLh9YfAsmlB<5e`|D)MoO$c&f6!~dBJGGNkFg+f60qAN0 zdALNO9xsa+&m(=>rl03uCB$oAe-S?=PrUw5(_f?_bQ%D;|B?BR`53%h*7D`A1G>6E zo=(O#Bo*%9Lx8)zN z{c!uu5+r65Tr>xA|4Zd(chvSLeW!0m5f(&$zwCJT(~7Wr{{N$&=4Vwt=#qc+f`$4B1a~^&qAQTgDZi(V9x`xw*G*C9^L7SZ7a)zJ zs9RZnaNZivS6zSG>W`PpECF_fEI+#bwB?^b3_aBO*B#F<0dhObcZdFK(}K!L`}us7 z0_$;mfUYOd^uIKpmbdGw3IvZk{k;&;#Xzp-qRT&Sm%9Di8+`i!x&6rYca-()WT%D8 zKkYwl>4~2bQ`=8p$UPLu!^!m|om*v<`)Hq=jrSgex(d4Ohl~C|UQXnEuA|Sqxai7l zQRk!B%Fpdr`>z4uI}pg_m*XE;4^HD`Dp&)7;Dxk5t^Z3A(GVcde_4OQfAHseKZeUd zHyFsCJ85P4qwaM1I1a-zsN@OxIv4Zha^xu1)^9|!5vmOn4Qy8PJE6F()U&c6|mdlZn{i5x$xak<=)XNOUK z8u;yxYe6>>$m_452pze!>Vj8tjPsSt*v0LCu0urE1G$~Z`N-kpD&%@v zp0BaDAG!a?EHe3TfZR6%BkFJOdGQ@Tz6o;Q0pxa`A=G|C$BgeMO?>;i8FaS*dHy+m z{&Bw)um98K?^f^~3*_ZY_CN6bj?1OLKNQaXvjx~Wx8dS;AlF}X|3mb){CT>x|FEU! za%uhD2|>mIc|9-NpO}x&?OOZqyFhn0ke5^0ektbbAquBI?LY2Cx)%YtpOo{N8&`AR znDB*5<--d$d$?bILZEvI$o-UD&sS&Y+|{q1aA};x3zpN@rymcx*+8@YsB^{2>)o!$ z-ShC?gHSi0egd994&>!Tw*O0ytl93YV|+fj)5WKs2)ao?4zitk zu5kL-_In>9ngZndll!sk88WtKGyuccl_2i{oF5R zAzh9$LnY980mwj}H^1eAtIs?#;DoWCkKWJw2@pI9EN!~Poy;$tg6 zw+k)*Q;6tkAg?E7{x$GE02%G~c-ud^{(lC1X92mK(taN=RbtbUwNb|pXM*loV1)hc z4sVG5zR`cEDiFMo?SC!5t^T?FWc&P|gCNh7Km}2*XQuTiy!;1zdRzY7u40!zp`cuj zF8{XtIlY#D4&r^0$FJ_>dGj=W$?Zb7Uu^lun|`i;?SJP&?s-6-PPv}^m$^NEnR~)L zouyBYKg28le8l?-iyt>qe>o3t9J)AZpD}*YQc&=haj^i%`#Ds9MEY;ir>*>4e>(qd z>4~2bQ`_&Wkoz^D>AynG=Lw~!ZI1B22yR{edHJm_i2ik4yaD9;lm7D_wI3UA7sT#A zxm`Iv|ApZDCXhoj;dt|v-!}Yb?EOdHuGZ;~H~-#(z#jm4I%WNr7XBUL`*DQ^3QFf< zT)YqDaylZ{snYVYJ5Ct$fAsk6+n{?7$ob3s^M0F*_EQ#~JN|j`@2Y_Q`B3Us%J2RD z*UmfE{%?s&ptBUn%b&DUjKA~e*#g0>%U`teZ)<g-``)ks>;3{ zd_Q2J`>)GDx04c75aoJw5jba3u+1L+{l@9(_dk~-{7N9VUpam~`iCDYwAx|JAM7rO z%}2QS7|8W3<;Qus$wc5`?EA@bxpeu-LA)zi{J4?r7j;$C_Fr`M$0~@r1IR%3pT$LU zj~vV2$?NY>8$bV6gJ3-)#EndU&i8+FgA;cc{dZST@HMzt2juxA^Y85N2h7Oxu!w#w zE!MCejs9Qk@<*#b3MapA zzuMAsyVT=1yO7@9Kpu|l>3L!2pKAT@0pGpAQ`_nPegDJ#YGZ-qI`OV&_u{FO zB07#f)?xIqBr&kht{DxlK20=|t4s&C{n=IPJpbXUb;#ejiZ9J;_w5Ms(0!hN&bkUu z>)3xX;-P#bI=XkngSEped4C5#dLE50`6HZPUbCd|maT6sf%VKkA|B00rLUy1?zJ@1 zLH&F4JoJFEKAQLju|7Qs^re9Gp5%9;t{YZ*N(LR3j{wf&CVDfz(-5BYtJA0Alm5s1 znRK#V@qPu;S-*GP_nVc8y1tdxq5u5k4f3xv&Noj~+tpQyp5Br3`pLg!L(fhGomyvH z5^`yI%Z@s<=%>^&;!$r|HRX@ik4i_-k8jHT;a@4_Q)GN9ypG?y52XlY=c(A=fcTjC zt@)~T%w=(2Jv}GPjC$U^;vbnWO21_dx**aKO&&@It>4bTz7bju(vQMS(XjjW2Hm#@ zMMv-8_OfF8z;46qK9`F1<7LH=Hg}c&wi?j~g!lR2&LHBY{v_EWg-aI{ze-2YI9Hy+ znRch?xST<8et6nOjTDsQRKy>^I(mvP06V1g({r+G+E;=2n(v(myHs*exu@`XuH5Y7 z$-63&yi`uL{#VIUpB`CB?}NrU&RCb!6}-_Z#*+ay@%nyyxxC6tU#71&{pP-R^gogO?T zeZCv!|LU}3Zoh)`&J}`gsr^WNd3#Q-XCFW4mrE8OH1;=d=hNG^XDNQgH_N9_f*@%? zKJJhq7SwpWY@74;^8U13r%rNG`#-zMz`Xf0NeH}r3Z0Si~iq3DhSdYhX zyQca`pU++v0&zaF{(5Zt-ETbqnK7Ok`+8`eFR}M0x%}k63fmtdf9N>rNOuO1%9Fay zck3LxH)UopR}TP%U*zcVY}@>cCVx5btp()eOwNbd7MwNgqJ3^Fy!RkyfS}t@~(C>iG752I$HIc{w3Fi~oFT zu0M*`KL2^X>i+ndkh>y~ms9FLZ8G}fSpvbW%O5XS+Wrb>KUBXvP9+F(E|BYAo-gwH zlp}M?ZR6h)L#_S%BfF?f2`Y$kJzrMy>T@RMZ8rR;?oZpw&+Ss{zY6$e15NwOefx>q z1~&i9*v~=x-z?Cb1LXNE?e}Q$o{wy+KW_ip|5Zi0&j(U{tZsvUc)ofy&{YRA$Z0J? zyVQIPo-cYnrmg(kuj%r09vIdDa`_X5dR%hZYny&9 zSM2u3{j#pV8bjV@K<;Ny|K@Dx^_L?AC9?@GngTf=>hGR3>Tm5o|ElzJ`_=V-bI2`# zJpJ-}kT;!g9q&Im`h1NRpre6bGyOR~x47c?+BL>}L|uQk1UAL;c0dyUK$v_3N{B9jk zrQ+8|jsANJLBVYG$Mv7((|1Bd-GMy+NK{u5cdZ^d4b;k29Kwf{z@rNn% zS08cA_HSK*;MVPbF2A9zmsiFEe@@^VW4@1!yQ z5c~Ihu2)_DE(YJ;K<@t%{r#MH`nCMF_RGs$kjBh?mcGI zAI$`UJAHA{56JCApD)Apr|q|J>DThx(sTXm{2Ktd2U3CxqMXl@mDoC%*gDs!{~8Jk zX3IZX`Y%O9R|2{IsQnSSpBd%nWuUu)1Y+pQ`DFijKaR^0eh84)v(o>4z4x3OuUsFs z{vHIn!Hh3%Lex%JW~_&ez5UGfS9I;?p%8T#ko#|0&Z6umf#BBuoAOK1#cRK@mw#^m z@zQJmbu|?6AduJpazBgQ?$yey`O3YK6c)yz*9f}31{b#hx&5VxUJo?<=g=8nyETZw zLp`5zIG$7d+)h%&mO*tFUiQlg!xBiR0{Tx#fIOYD z{fG0tdAY1E5ZqdS(fHf?Z{Dt`>hm81L2e>}3ZfkURQsXqHO3D#y)Az(zb?NwgWoMc zUVkJC^?04p{>j2~`|%_0KeYYb3ch23Tu<_RDx9yw%a!&Yg-d_Y`On)S_e3DKvqUjH z>ujuT5Joruk^7eBO z`%!#jjNitt|7hhu-tsdEa^DZ+b|%07gq!~x4;%GYO@ZLfeYltmj41zTKXLyNZ~9{| z|Izd}1#&+Cv6$=-L?oW9MdznlB=KMlGUfZTtF_1Cp}vwJof<9~Yo&oiK#1vKr)S-s=< zPo>ry^?z-F;Lc23JPS;w7aq#-JNQrTKPve0+u9G$7i~Yb^xUo-L1I3Ki|2vdeu}^U zn+>_=0D1q3#$Sr>`Fbxw?zupo&uD)-(buyUF8^b%zqwr6f6j;8F9Uh`%XfoYCvUED z^D$%oP)&j0g{(id{VqU6uK|-NVh?rw!^^e)e)S5%zY65(B>hLuU!wZJR{z|uY5!+S zAFcep4!Pd|a{Jf*httQN|CCV?AU8LE+xP#k)XmXJo&djP_TSPj72~JYRJA zFC2aB_Q%V0jhN-<`BHTD`vLU69LV)V`afdKpVRXvKLp(}pjrRY_zQoYEfCz=f5uz> z&GrlN{|FZ!19|z8`-ytrj}ICB_jt!YbpGXl?+PII^RoTo{mlA5_V!o2`s4N&yZxsi zeG2sVtLW<)S6Q9UtJIS$-fnpQWsff|sm_tCSwf6U+4M>7-Flter0}tv6aVdgelYy| z%~k6GPZPI$KSw}3Af+#W^+=KH303%jc>MdtQ+j5V1YMrnXZEf)GZ&N;ncffi7dj2^ zwLFTR_!2$c2gKPsTFbwZLLN$b!=2kpfZoA*lO;t@?*PywJSTaHo-lxQT=brh$~Cpa z={eb(rdR9qN@3kpGWZc)X@h@IsPl}Iu#Sk*P4Oe%P$|%n9ORD!g3c>e=ZYqY@TtP( z2a#MxJWe2D{hs6ff?|2kG3$e`m%+NM(tf<^z2nn$^?qd_PvrVLijU~bb7X0qq%E`Yptcxq>$FIU=LO-c^PIPHl-)63ZOEc(cy_%UH6c1shNN=%i$mYI5@zFoS z2iumx`Njc3=N>Eh6MQ*Fdk5YA<~r(!=XtK}IlGE19dxt~PPQYwAK8sum$>pKxl#@3 z$_Zi}WMnw6`&o(7Pj*t)kB{r0;&-sVF$H=id5E6Y4<<)lSEuC76m2TbZC!D0I_!|_ zmC6*-QSU=Q_p znr(l8%T-fQbkxob-~pk!#e85npPtgGp2yptrgB@@@k~vh47sTv%F`*wBTl(Lb?oaY z$W9cyECIIG{Q=${MY}>qLit)15t2Qq+eESG%g2^>nskEC=LlWw_lL`Z?kpgeGv7Vg zp~UTFs^+?t@LoY@LAPnRI0IE5On2$lppF=wu8o>wPE%pd!o*V zN(WsAkn9n+{`oXTYkyk*w&jPHOY+-}L+b%ghrrza@?EvR^lD>1e5Rj&@$$E&=k}-j zbLAm-1t66pbt~udYz+Sn7~>gL1%g}KKetQmKWLn&A|mAWL;k1uo=-^S>TJl*^(X6( z=bN1I@2@r*=PR@8}R4YXCVP z>PO}o`PaawuMWENfZYE$Vm8iK;pH#h@t}Cqul0XE2)l=Hs*8a{b6f?u0D|GUy8^JPX|8pSk(IOLeSL)a*+A#b*N1L zn=L4uZTaJJY5#u_BB}%A{)_C-+#f$HPX5|{>Vj`QAcLGv{(NHY*J2+}C-o`hZjryyJPj8!k z-ma_V(>Dd*WF8LYnwdn1)e_JDbZ$^h3`8_Uo z?zV3_3^`VG}DeWS6S zrIDauw)!W2icXi`_K2txko#ZR{+&Fm!sKD=BKlv%zXL8h0=b=%pDVuW;X6a_ED9l>jQL2q{o4(6-GSVHN_w1+$^DAn zPs7%Jc)n`?*#mrg0?qM*EKmN8#dbceZTfk>=<-uIdR>3_f!?kHay}Vi`s5K^YL(69 z>tP(d9`_Q^4FVyLpDzEhnK#qB@#`k(W!Ac)OnxVRk1{ST$H z_}1TpA@`L)-hPt)$NR9i%IJUS^FfDzZYYrJIYp@bNZvNae{}!HHvhR?Spw{wVYs*g zXxguOT-5vH$Ll`=0^%03{Am7HBcc&No_?u+?`Mv`2mSWbHJ}>~=Nb|0vL12Q>X}wDBX7$5wux z{&@B8`0|g2++%>;eq{Qi>?eib&JDP@ksdJYB-Cy3Z9m%TpXX~9(&aceBfYN!c{u4m zFWB_$-P68yDV!H9q|f)f1$55>8OZhATbhk}^05O>X{PbP)9?)|?Ez|G)4jKKA zCcgZ)gKiv<`x*KDZCLNN4XW)j%Aaok-T}Hhfu{e;k*9l%sbublQ$rxQwg2ViPnVy& z5YgR0F2D4@I3JJOMeN@Xxn8pc*jdX@{zlPh|7UCeJYBl|buR=70lEFi^naqx=jQaW zuZQOP*Zghe=jqq^Hvw`_1V*&K|CIhu?D~%;|9z1AK_COUpT_JxQ=i*2^{9Imd(lPE z?POd$0OajgxgYO_eP8C6+HH)V>+*L$=%xU9`IGcj!!yXX8S7Ew{eGbJHx+!R0lEDp z3W4)wdHK=p_rlqa=5I^S?LT(=pDyDF{~lG~@caviP%;1h_BiC80p$K8Q8=kB z4$iEy))@b5E)d*We>`8c{+>WYPXf7}P`G8r_rE4F^XK`e?f)t8oq0-`4)QU##QP&qBIi0rLFI5J9j1ZSKd` z%x^zE2fDdHZhvw;Y5nle+|Q_iKyc@IT+BHoeWK`v_1I?nh3H?v#cUw&Kf!-EdB*r* z?D~slf42IMM*kw@ehJ7xo=>Olml^YKvhcjH{!f=5Tlo{1V7mUChvy4`+<)r*5V>7c z_2r)rx|f06P9=Sm{y*unaPt54`OoWLt-n{1?$?0HKm~F?F0>!G{m1_On3wC={SWC| z$))Y*4amC<$kQpmU*+d^xkDT_=AT~T`;Ud7TMFd0p05CM`<41zQs^*K| z|3BpQzgHUV?^=R_uf@eDK<;OXfB9Vxxj&62zqcQL{O7YrE594ScO%gBf6>}c2p+fn z+S(uYYq9%}X!g4q3E2YV-Y~q=#{H*>zg;`&`12j|U9~=y&NU^!L-XRv4)WZY&xC)ckzBxl zSTM1f{7V$xwgyWQ#PcWakbl3s7kLXL6R_T}WCWdBH%IG#H6O?O5r2{=0rY;ph_?=G z4{T_uqhx{OG<~d zYwt(vJ(F=y^85CQ=b7S)4+lQqZhmR#E6E5?^-P|t)*({56O3@gKOlC!*8k1H%acWh zJhgGyQj)(k);XGT(7l%1@qPi(_Kwu!4QG%(b^LVBD23y4QG67h(i;@>=Y@Z%{&||0 zdcS0>XQXry9j#|hMLH=S(kI;$KUz1MW`r+`dmT>6P5GG-bzLll`}^O*za*?*COgt{ zDto5*BlW1_35apSU;60ni-V#^Zle4nxq>)%l;~2$_HE%`GS+`mymYQ87L|B!aCao#7oafUeW{kFa2KmH7a+eol!ViU#{~@$q^7Gsx8~PGG9Bhm7+@gimkV z9^!IQ`EeX-XP*w1lpb}P@80tC2M2!7+HUkG^?b-upvweOJ5$}t@fdthNXL5x`h1=M zo~HpRK6RV#j=*?eS-e+3hfzMM=XyOT z@k;>#-K$$_cbWU^==orOlz+iu`8}N4k@1hm2cb8z53)z~Sk8wUP&DfqdAv0R*g6@w zC`S(%wim^Hf7Cy+A4(1{*Hpha&KU?$o&pxcoVG&U7T@v2Ga+vlkbzu}QfFD)$|En@ z=~gZHLat|_+lsh28_3JQ{2p_|=f9P@!W@s%<8d_4qY~)3|B~&Fr1{_VX!5c#pF{6& zXPbZICl#9p0_@@*&!~)ussOp4bNu;K{CU+P<8PaOZok<+|8pRB9Uz08j$-1JT((UzNA7tH#Wq>#u@OUmpw`07)71<32Ee0Tbs#qx{F7jE-{^r3!&ZkynuBRwdHq2^-Ih_!8Z zKYrBkzj{7&Q-p6(kdCfH^+d0^4_)_d6>~nd9uIDYup}S%lR@8qaK9Mv{eR)?Uza~y zdTv*`{oNAs3m~t*=*Yf#Jt6&6l~eCWLiu5vf82k>>;JU%kH&fo{XM!n=z3Fx1yQcY94b$jZF}Xn zM*Fdr@4tE={KY_SCn@4ccsjwu-y8GE_4r9o(Df?F*T0tE!%w-No7SJL{^QL*Za-8n z$KU?wgS1`(PcZxEKcHeB^u}?>qH+V?Ij*pMD7Fh61^sW&g?h72p2j z6_ERCAomkgewP{kvyMP;=So~$1x%(F9!fv+KQf<}*9$cTC383~Mgw^`IiJn@pt;v* zf9m>Y1n8~>a{bBm&^X_h`vuM4w*2#Q;RvvEM&jandQcGMdeG2U>U>}>S9L+bM&aT* zAh&;cJ_o)Z@OoW;Kd_ab+hxG#Z%fb1wNAe+J(pkmPg{Dff8GAN5qi5Vn*QYIS*r$L zMEHM-Zw%;e0@8EbVm|$!w;$WhU^EuU^GW+Zu0LJ>-vYW@fehsMg+Tj>#~Zu-@cb{j z_K$7;bN=z#udYAufWl@0dHG8bv+E|d>)ZGnm-Orf%eh)0xPLzBcs$^GmfvsZ*M8q! zm&f<>b$a;pcY*G1AWvt8xZUf&oG|wDsNvJw>W|B%=fjNy-+O@EPvyI}d-ik8XuoLv z+4AS*N|)bz!8Zit;pqEkrZ~aoS7_7nA>c$ zU-f=M4}4B1<5+^9U}c19>}5*MB@+#mD|^^N-gnvA2J?UbX+70lhr| z6VO_+REfx%}GxpMoGy151-&9?Je>TGFgB7cMsHzj)j4+JD&QAJ=OQL1NCt z#k2IFAjh`1|f9(5dasJtex3K;E|=pz|rvtiOh44sNvY`dpXB8NFbk%l-Q2 zdC+|VWDsg8W-seMpvTRJ-C6}-h+aPZ3wS;o$o;$=zbRE_=Q9_5&iBJ9F#c(qf82lQ z^v?m`7lEaK3gr0lSts8a-(!E&_FLij>-O_Y;P(-bmlK-*w$H83&cAe#LR-Bccz1$rQ1Nay@I;hR;5B<1XHQ3F-FB%Lu=K z(cwmZe+$j}V$_e{Y~kZig*YFX%dgA-D`2$<$nBr%pH0SkIw26;c@-D00eSw(?`Pil z%>kqQ>-ht=`j1wBybiu^0=b_EU_bNYQNO>v0lI}io_~o#JubfOKU@7p%m25K?hk;x z{0Bv-{jg7}-jZX?ztQI@EC$`XzyMHz?7x%`pAh%Hu^zIKpkQy~;vFDw|49E=%*X%U zgWOAjT+g!n-1E;1Zo2;!WBj+iKyc@MTr2@{JD1~sQPNNJ@#eoReF8C5DCpLfp4&y8 znCZD*wf|ZML6!r#oYa3iX_Wui`!76RU4Po9Kbrg>L+;f;t|wXlVLvNgE_DAT2Xrfd zoR1to#rPL5*Rg-U=60#aPga8ODj@g2QvN9ROLE%kkL%wNU>A4$eGMX73*>r|`t#10 zExz;D)VNYmqaUrc$<4xh4?=qUXd|9)2XcC8e|v|? z835b)`VU91zxWJvn}EFh$@>3f{v8cEtTDd7X#Z_%zg(`W0_>d4xY$My7&aB5@bvwe z=JQ<&7<)63fbpP2_ejcy(zqa(;f9Upqy!1Pe?wvrMfATz#wz+HT z)!1o_-&7X}ZtXv!`JY{gXg83TKWRVkf84KR3k0|3A5H&z5Yc{M5=HDG)ql~)pY|gB zK1PR|@O}(Y{5J)+&A({!+tNqVzb!p4f3e#?&sSakqpycQXulqQQL?zxTc}=A>^(7k z=FnxQiB|G7YRjv}-D=(e$3M7goj0wM&v(PyzFc$7PY9on_rKtt$}6FR zb9L!H&sFQuzejkgU+F#FOM6y7U_e~4dP@4a9TG))o4`4ff(bZh_TLflsQ61o&{Miq zw571_x|HyidGDtBi;()GwcM=JOWoGfu^N>M~;1=ReGEyqxqFX*YFKR@F&aMe!wopVk-c zW02`>7(sfX_(=amPw6r5DSvgm;Zv%|UXkXf&+&dlZ^{`E;nn4B??@LX?;9-tg1+7r zUF134lrMATsot$CQoNaB+TFWS=dVi>9lY@b;!pXN2E9{05*?+7(rZ3d?4Z%(P)y3V-KoAcbU1?gw& z{raihQvvT23x;#@-C)nbgYSIkn0raV=R=1Ix~1^c{z;%09_G8b*R*=}yA4N-@5?QH zdXhI8bR>_umGtOe^Y*cx-$w1((xB(z^4&W4K1ShGu$ltF9SYC;1$ZmR(X-IL<>~Uv zQz6^u1iW0tYkxZZw)xNX60iNnPS5%4^q&E}l|QBasD3f`htTUQ3YUJ( z-yxSEK>ys#W zy!>tHdHqH0$imj2y8NAogtP*3J$4c zFWlo&`^pPe;QRdfpsNX_c9gm$Ig9W3d@ab`6v#pD?-C3T{A@Ai2k8AhE(AdxAWy%X zpHc1BgqeX4jrGY*1@Wnki;IBC^uj~(f5lgSbs=vfAot&Le13vDZ-UwxDwzJhUJrB) zfgI#Gq_@%K0%Lw-13}^Hb>De`Z^LdAyF#-EDKWMGw58{EQP=0+ z80n_+&Ff#izeRCve>H>rErHxmCW=MgdCy0T_NT6Yn}eflN@p!fTw)D~Lw+jU63N+gv>ap4W%@PP+Nc}r8({uT?|FKO!FITbC zbH5%tJ(oZB_9rjb+Wsy^M)U^qaB{!=FL(XAsMAuT{OIrdw)*4tA8-C^`=xQgfsmi; zNtU0SPE-57ndfHXy@Kw7Zu{b50Fc+y^1N|xf6IMF|3ja**bj95fn0yG|B3bs_lxo7 zzpg)Q_0RR<2#8zA@~8EGDIyvK^0`s>iwOr z1i^Jc?k8pbAAe5n@Mn(y==~M10^PMh-hY$(t9-KgrMjrW1jO%>~`w zgNu8C-2Nqh>~F@~1@W#gtm^Z(EkE3Twf`CqxhDa+|B~hR)3SY@+HcP9t?l!l0J@1l z-hPq(&#V8J8sk5)_aAt^WcmDU(;u(@;C8Ls?~{@4XMkq=Y0H45c`H{RHO8Oy_{;sE zdm6~?N49@Xj`-lJ+DDA`S8Lz?r-1GOAcOG!nBM-@xrY6^g2GM3#WY|<{&~;W8RyN$ zTmQuFzj^*?|N9{1egw$NnH)cEU%&DP&mSGC@ra{s^fz5}|dVtfA>lW++k+!O^7CBzUT0s_+88G1*=hKPbFh!w)%_5=zWT?D9ZH% zx!(mAK$-jNX#c9W5&j(@Z~tP&Acy{7$nTe4`RDT2@|%uyX8?Kqu|&cBe-1A*cE7QH zMt?u_nm(7mmfuXII}4ZqQ~>*#XU@OW5)>@5^mX~ai-_g`dHbCxtZhBy4!1ju`5V3d z@;%VaJ}tfEAL}>c@m@hCLAR0dujS{Jp4$c8f1C?O<^j2#m-ELs?~~ilX!+Or=aql1 zzuNwLrRVa`bmjj6^1T$u(~Q&o?X5BZu=ri(7{fEZkOR=IXx(f@_eTOhdS@((3Hul#elX#HCaM%Dm%{gvOJvd_snFxuST zMbmptpYw0I`Cp54*8yXJ3grGIn7`-zX9x-wZTjmG(MF1}C`$iWYX7)i>h|MPgx>(< zdPa8se}DZAw=3HIZbrWIfm}|q{kb%A#U0&N8SDSF{n!G!tw7#>%k~HU@jTw}$3LO? z_o_d<{!_Vn|Nc@I`BP9w&~0e{;%%P%iyilhHTpc`^R|_`dfkB-F(Wx}5c6-gIxqKU z`~B2_qu@_C&-tXS(s%7J_%ZJ-!(Wr$$HIT|EW9`Ukg0x?og}37QIqzbg?oBV^f7pD#;@-kd0g}FkooJKU;aegV{z~^EQR=j`Ldj!PdLk`5-1$; zqtiPny*Q6{DFu0y`U^i{?a!>@*YT)(sqfB@(xH4)IKSxSIFQE*$4#<)ocQw5e=Yy@ zz}aG-l-j6CR4!)=$BjHQ4)OWL_p7_gKYCB{HRF#*cuLQFAAH})Ilq9y6Z*ujbyp6) z;-WNm-S;V{YNe5mj-`T zx+f$#rD4AU&99>KyY))>xl%nOzv9sKM9DiD^pwvuaiQ}|a`|%7$tjC_@_SD*{FsSP zzxZs?-SV#t!c#to?=+FWbVb^4?~(s6`4g9R<9E`t{5Wr%=n2!H-zg&1*?@rb$p^cb zjQs@UxWxI9{sos`U{|*CH&VQ0cPKvXAFtxk@u_>A->d}_@^5OH3OyuxikHF_pa1WO z8W+X=qyE321^NGe=EeW_E+sgN_frx@t$=-;_KW=k-YXd5et(L=bLuzp{;%BMCa}Nu zh97PIeSCnR=%`=A>F`#bFVk>Ng@3<&-bQ2mF4q;|=e7Ss=_oQPcgxLhJmMo%x2NoU ztbe5Zspoav{CiEG$6HMxxgh^v9xl;6pE?x(UegaXe(_3A<*fK7dtq4#$Vd|)*PmE% z>e9F?#`HRB-$@w`V0u46w`Fiq3&_)<{={Ls9uYX$!e_I}}mR~u7&H+++sM}aEX64E3UZb~%{C+{}8d5;d_lp{IB;H_o_c!FERy^ zvr=(E>l=AE?f=91((?0~K9|4crXLx-+y4(bU)x6+b5Pn3Xa0GsvHneuzavXO{QPtI zQTu0E=YijfKvVwKqk->V8~FadR%?Oap67pfyxRVqkBG8>rv3_ypGiMeFui`X66mS` z8OZNHdCvZn>q34%xc~&|KyH6yg?gNCtpC>YzZZh8GLYLJ8kd#a{oNzeKV5$^kngHM z-j2r#wZGj$WBqKFKyd3KTx0^do=W*){*1SO;p;!I|GNHq%|GW$=ie(m=Re)e|Ha66 zH6ZV2#EM+_|L}Gp)1}V_-6cRSf7ve%AwQCbSN@~TKc%PG3}5~{U)p|FN4{$Sc{=iZ zAlZFA)bN0@{!D*=^O}DiuP*p~KQDi6ewB-2Tb_+nmW4#58!vu)p=){+HMMbN#O+kepQ)7t}xG_FMXI zWBn!1SG46HzWjOl>+wee@ZT87>%TnTF~t5Yl>dgfXawZ?=X3Yx4pshM6Ke>L#vA@R*{}sLd zr#a{_VQXxt~Y3=UL)t;YJZY$A)g{8}R2RzNO4 zIsPAb%X#AxRvF`mtYS;QHPUSZI}{}AV6BY4#L_ga3u|C=Ew{dTzM2;}yQ&X+qF zvj5p0bRB?Z{`0W@i`zeKf4uU~^;*}z$mo3n>_#pB&WPwrAkU}VKjpPeJ33GLik}aY z)6q@83+TE6x%_4Qaef6x|DpKW?<LLpZ`$$e=YdF9mxAXDWaf!r^nwv zyob-<S398Xzd2_u%3IppRZS zc*>qP_|UW4dLJ{^|1}U4Y#=TM0eStQ`GX@y|2f^I_ga2DU%LG7MY@B5Tu?k^KaiKRT)&6$JJ%mQ|LQgWJYU6Ee;x$i4+G3|IHK>%xn3D(qFIiTz@j$^dAEw^MO2E zib%h%>HT{j{l@N(_YTPKm&DKGc>WyFEdOrJD*dr<@i#WjQ#rxJH3Gq{CvcGi82Se;2M7ezUK>2qVh^B;WU2p@l1UEKQn0>Zxn zau337>IG?qRpk!Xe#Y;e5e-p*LoXh958FtJlKmGlDH0Z_vdHs>|=gx1L zQGay#d6i$Z^5=Z%?=LTd@3BBGKTFhd7P1{T#_z?~{*FVsY6l(kst^Qg9$$7TF zT>hGV0wQ`R1pj%MKS-kl9n}7duj2XJK;Hk9NlG}bx1K)1}x&F}im(|An zQ}Njkukz=5MRN7-Kf&w2)}QIf_Y5G{lhF2`;`7Qsuh-gsd!?uJ6q}m=S>Ss%kn3Nf z81%%LDf3qyHtL_=|KMHFy$37>RG{*M4`|Xu~UVg=w|2g3IeP9gZU)o>nA8Dpf z@|=tC^MJgb%l(5&`1sGO{3*Z4rT|(W;NoK-m!Ir^J$-Y9r*AH>>kxs1di=Bi&zA$u z`lAl&`^NC!*Zco11l=Ma=TpkR;&-iXd91+D-|*WHUjMZH`Vi?ZJ}v*Uopa{zKR3qD z83MsQw_jYYGG6?a0G9%J{geAYIr_W7=zkVp{rL##E(7v94kbUg>$hbo!ql->Xk6fBF4<>4_!7hwZkj;=Kc+o1oh~T&w`{_S2I4cOIx(F8*`l z`+qfo;GXq|*9)ybD-qEuAg_Ni{g-zPojrN8G5*O4JAGdM;kUnB{#t+6fbZQv9!~0C zg+Xfkrqz z@arG1|N8smX7Ig*GE@`;=LNcLZ%0HsD8ix`*#Fo0mE7@%*Ye}?3*Y{P(%(Ih*M1=H z|HTTc&Na2F&75Y8zZ(ezxAx*K^g_{--z@n-mo?%i z`ZSSLso|i4ywdRREsJxei4Qu@wjAiw#Pia-cYP3 z{N$4>9*Iq5?j z&ISI{t&b$f&6@&0ieJ-xJGxQF59dn%`n7>yl5o^*Kja|&m=!(ABL??0Z%O=7dq;c_ zJ*AfnIw~*epI$K_dB3RjZJFPPee4&L1KUE3g1#2%EzN`oFIi@8&lJ^gdV6!_JXTqs_$GZe2Mc8KE9;S_&V-Xst6y-zsHnfIh3pP}L@ zK7aOlvzpZVNB!CN1^Kh@^Wx8bzY?hH-%awJ5jch_df_|oa;Luh=E2s$bs(g&hfX!@h3 z3y^sp&vE&Yy|Jt$L{tvQ%h4x7tw$pMBP&0$bCH%GwU^%ML*+jO`A!8=zSJ%C3rg;K zh;zXAxj?c5#D8)5gK)V-TYt3vRRG^zfV`Zf{d~CW*Y(m4+5PZd!7Z-+I1kV30(t$D z^C1cL2dxi%X}2g!FM7E274f_(kk@nR&+z;+b1t5~(>PD8lc4C%$3+G`D2h3@P`7)6 z)^n3QX`O#%(9v^sE7y}?JvpzJ*@)M&E&$zyK(gaRPyPU0u3G+H>o4ak{PO4Yy8fnv z?;VzZN*X9LVJ)*Mp2W zwyAu%MaFs}y&kDH=;{Euosj(uoJY;=qW&J@HUHfHUM`Sa)b_(``cz&jT`j+QV5B~f z=l_&FX!Qm6w)^~`P3?;lET@e?@TmE3fQUL%gheq=p2z;s$|ZSMAF!!?Qm@;%`ri=Y z+Z3gvYxzAv{Q1CrgZJ*|{%|?1T>3@`D}cP5<$8jZPYjuG-DgJq)#sTv23<2C*K>Iu zce%iNuI)}*znm}K{x=8Tm|(NG{z&`h{6hP4 zMXSGF>AC#$_plb=zcrBCN%=iDupNB1xt=0ZAh^{M7p;Iao>R9zcRy#Y7g~N^`43fp zBcl(${JC7T{MsVl?SPz5lz+}vL;q_D1ovz|xcsDD#;-lF1CXar^JD9c^*GrA!9AxR zD*qi3Q70fTfB8Kh{`6e`(p>xFwfsWWKdA9*#9d* z*B!|9hxUWnX7pcM3IzA8KRjM7|Emzu)j+Oia{l1xz6~F}x7qL~Zc%LMUxRe}0(n1$ z>d#tZ{!yRjdoAd$2POa&NPoQd%Dr%M$_m4uxv8LF*WscEkoVtUKdh3w9-t@q?hWMn zFUv3KP5Vgpa%29ru|RP5JnNhAfXkosWWBMTPp@a~1-cu7-2TY<{t`ZZ@@l_${n7o` zKFIgYq4IxSU_-!JM*lzj{aCqOsx6RQg!NzZe+weI70A<}@;CKgw||kzkK*;-f8_Gl z^!>s2Z9rcC<@gKxNpQRDbM3!Z{$mh7K+vsMdd|O=|LutA4j>Ol_OHNLj~1=`b^3QA z-Mc75MN#^L(0(pF|GNE+EdRRvBBR&*-vfT{1@iVQQS`xndfcvM3(Dp|TnwTI3>$`A z&rap!m47b3;w!(w;P*ZtPevfEOzZAE-_4h&0O#yQIl_CZO)?@$onB5%j73lf%hw%IrAm>x+&!DMg+g^Lr zu33~mr<xi+RPCJ*LzRNxidR~5V{{Nm{wSVt)$WF(5 z1?>dgK7xx!fkFE3^nVT->#3`|^j^!K=S$bWp-A^JAg^bq?A&up-%+jgMq@o{wXoCY z%q2_umqQdTh4;;n#mI7p*_h>fh7gdlZm?+|R*+KL+m? zX#4*R2u1?`*ZTj@g74>mJfE`su%95;>+t9A;}O4tbV0YzxcRVJGAr?p-CJqC1RPn&-|{^9MCJ`eOI(7g zlM1(eu*nMP*2!LI^k1?Bf=Atcd(~fVe>2_mr-G5`Kpsx-$LuGD9c(V>b{a0;0`l^g z>sK&-=5o>H@0EY97wK;LZzJ7zfV`g|_Y?YC{5iG$N5;P%zsvyN?*chA5;?~P|1msq zmofjZ{mEy7U=}CDo$SBCAC0%)y8q^te=gVX^UupaTM)aErLX&cvk}p1U<^ghgu*k7f%5w?4$hVjwRkX@CBf@oNP){Uu0uDUg9&Kahw0 zD0#oMl1uMZe!Tp{A3t+?tv}1a@Nyt8XF2{D5;zchyU~BG6D9vT{g09E3LxiGrjPTe zdAq3FuTMai2Q=%ydR%hHFDt?KDqsRofgC@4rOw0R`V;>6fy*UJP%>WikL!iy(yu{8 zn}EFj$^8VrZ`*tH!5zl>)h;gmTF|Wn^7=3J`cs~-^kUJ0a^2{6~1Zs^?GgLAMRa z^-thkxhzdT>XSAJg84^{tnK@fX^oX=QcrQJNObot5r`@QRzV_CaF zw+G1eU$%4TKXd&Jzy0L=hu?qUeChVztNfCXKLw2i-G=rj-{;An+=-`88By=L`{W<_ z3IAdLB2QsldGeG^e%#8>^0=+iCBG6^4&bNIzRYpVrt`^lIOXq3ez0W!P5Kzb!Hrkwwzx);vqhLYFnl~vF`cWDx7{l zd*SY$cg~K3zj=&7Px0w|Z9U#p{^@hfRebur8Na$u!#U8U#Dsyry)y8(cp(qzZh7u} zpSZ$tn2rAnd6foV)c+&D@iOqYPR4s0-|BEq`Z=;bsvl72OX&y6U&}=W_Y38(O6mJV zm9pE@%WkLq5?W%2^V9c=zBJB=lnE(%3qk?C!m~kdOW;esC@@YAs(V5zA1is zPJZ+xA4-?xM0DiOOZrdG3vJ~`pM>+VgZWba^b|kEEB*4DuD{W~0q0KNQC2)vuKB5g z;bp|gPtRF>I3YnyZ?ODmmw^d5-U*Y`d zJ`H+L_k_XWsC>!4`r-%s%D+(MKzvhtg|<4Eyquda6(7C#3FmWLGRZL&;j}#YIoEX=drQH|$G>|Fd6|bAA+_!Ud;G=_pJS zivs3lVUh?)>*5EAA0O&PaCs^Fruk9l*3*4(_~{t zKUaLwy-#g>b}!u%rin6(`p7@ZZwl;FD(W9S*Wt~04-O9~d}>I4b&}6``hfF5-vJc| zoG<_TE_rg?W8<<1lo^mXpzMI80p+?5@OO$Cklg940V(YinPm+~ZD$v%n*nKE2b|OK z_PQs_{A2#(XSDPuYD&zO(u(Ype17J=*!Z3^#r1*VFibr%&}P*#Cg~lV1CO zluwnf;_JUAs0iJ2t-1X5dEBW8r$GDvm%;NCAeE!KmFr)29XUR7{6=H`P5ZATg038p z;#0TM|7UjKJkGVoesuK(f?H*Akpv`t#H}bO;pe&d!Dup&^hn*x{?>-1t0sIl*BHO* z?+0G>hsRr8Ah|O({v>@@>AL-XD-DdCLktzgoG$KpJiJ~-dmaz9H<8YNQ$NbG%7fpE zK+dO}zZ!Mx8|~K~)DzBua5*;!1h*>S;yfUill*=G{|&C!)NhECf9h9xr{{J-=l^{0 zec@^Om;MV+?(Vp+dx6~y?;Q|51>IJ{#RWjJN4Ry*gA0|uSN-R54L|>!Uh8jVFq#Qu zApMWWH2%+u5gooTzF%E0C|o)&E&_7>k@oZJfC1fQ_%AgO2yRuuMFx=DPr3gIzF+h9 zBg>_aOny55Ug>$hGQ&=v+IN-BY?r>OdSG=0a{ZC#k-fgHV?pK@b}hVjAnz)-|B{90 zHGsUHVg90UCqIwV>Lw7}x)>MLfL#8v{^I*JZx{9YpKQ=wLJ=~Q?OX{z5B5^tLC&Gly;C{>N4aSAQ-8T~nZ$f3c+WdovQY za{sBEmM%T%CHuaOxGd3L?uV@Wm#CkkUNv>;Ya?u3Ag?FV{%-uS!ol*(jP*lJ1cF<2 zaB(@1>nW9A$^HIS4}8}L^7<$9@66vXFuvb65(pl({xv{E4S_TsP`6Tl)&>?Jyk+#? z8oK4@)qe7L>k1@iHNr(>AlGv$zx6hMUVQx@ul$E7?1w;j;5AJ%vKstmg2Q=|T7x%82xujSVs>2?9~ z{)_BCg!ul5;8q7*bOxSY&iTf92zvjzj-cxVGJbR zA8q=){^|OE1>|-$kn8z=^*>trYmo12fu{WEJYQaZC1?Ji2l##%$m^fn zzrd+~-}Cb{ayq;HhwDK%1jzddDI!16{rK}6K7T6LKT>)01l_$rUeD$J5zi%zh;4M3 z_kZR5E79Koy1Rh!Kn3zV(upb0ojvrhP4gt`c?*}m7sB7j=;-Eh;g_>tm2WLD{QsK^ z3K6aT+=PgFQ-noPj^7J*HL5fG)BQG||7<2GSY+vI`_%^#-3jFFUy8`}FWI+X%`U$F z!D`~l?`F^q05S-i=hpm*O;;}6Z0sM@*ro3af_^|=e`Np3@!#KS^q=+k^%l_G3gr5W z@v{{?|Bc{L_rJZ$pO4Eb2}-{|E^Y&I`OEe1@E_y$BmDDxc)f~t{!ZJ^+rjr8Kwkf) z{dYbDeqgMB)9atS%8%FUEP>?CSox8?QR(XZ-wj3v5km|c3UzxV$bX*Vy9eP10=fSC zKwomlzh29a@{4RDUzRl(5AFj7)n8{r@f}A0rJ740ZTj~k-3NfY|1I@*&@JbUOIT&- zZd>;Hx-Kd<@c^t%2$f_y&;H0?*8 zlmE|+@vj~~drhC)KW%@9BHhP;+|H&5^|<8LzbC-=vp}9t`ThCG9sj!T)b}=PpG809 zOMVIh-6$ZpKk__=#8vXI&}e`4{*h0D?kONIXW4#Z{)4w`bp(Q2!*DSiXx4vP|H{jy z_}Z_?^heKMi~!$H19|)dno>R5(h)w-$Cs=M@*M2__y3wblm-|Qjd@R4(z{57puR6i< zt`!Jwy?~1s=>bFfPF85xZ%a@xulmR9l`j8i>BoSP*MYqL$BIF3XXN*I>Y!bp7!IJ& z`F{z|Ujg!VPTJ4++n+aN>8_yt<0wBbgKjL4+X*>;?i`4-##p~W{i;aYKP~@pNOwGt z+aKBf;`?P1-Yd}OfqRud|9(KyYg^F5U$4`X|$OekJ$&{sXbngMV{gnEi1)=x??_aBD6u z<^fIp%L%c5i}b;({&4+^)_!aGc}<_oMUUS;K)x3MIiGs}2(DMr@*jTt!}-$rUj)9F z06Cv>{@XdH?{lO4wg2CTpj!+KYCo|5X(;)5l|Si=N+$gL^L$khVAooTi;sZZe(U|i zIep0~zvbY2JCO4!zdw9ZJ?^3R587FHub_+D{(Ow*o7sEZ+NAADy(T4ipH~hlrf9vlDd7xVXWFYtdQRi13Hoo76Z$G*I>+)NP1Xlsg z@>h>b?)=Ld@VyC`092so?^4)vz5Zq`p05LPdg}k>8|$ZP35w2Z{pEV8%Wpj*`V`3R zN38VUE}r!Vy!^HO+kkX80=b=$?H~NddA}t5`9EGS(gl)>y8r1_{-M&}0!Fq0dHGZO zf5P~FpuhiY1zkRnmow>4aj(A$-~RJ*^$D;Wq5QS}c$GgNf785-Wrg-%-r>oA+3`!9 zm>`Z6^#8iwWkItbcx&6mR{vn4#TlxQ4;^aF4 zhsyuj>U`z@;GE;%5T58QoNw&P0r8Mr$uCdVU*|{9E%<-N0fXc1S`aJ$;^B{bGAP}i z&M#gBygnb9@ru=CBDBT+Oto(D%xup~zA|B_t#^5|y;$QQp=;Bp)In$)>ed-vJ zUZuo?!!P;y`UXDufDZ~s@*uv0 z`Bdk-o8>|Br*le;;2=&S#-y{#JUvfWywUG^Vk``J=_X`*dF z-P#a6Jtuy3K9&5-A|1`wvhj~e*Wo1SCFvWLgU;Vig@K=@bIK!!?tLNs&7E-Re&MiL zKG`^zTJxLX{D|LF#7BHkIO2!Sj}Fd{lb)4m_~jElol{QnQha`K$5UTVZrdY8T(Gl+ z{7V+j?T^VQZ_*FSFY&4ARe95M!ZbJEim$Yg{>${9_*Y2wiu8igr*w<&JnOT!UY-1p z`6HK={>TxYXZ?s0RM2_W-!_yJ;y3#&@J`9Qt*J&pR$KcKUBHbtB38&i6DUD8bP-dz8oI#ep8BA{KHkhZTNAov7Sn= z$BF}85-^@3c2Lg8FWdO;=5NgXz_mXth3EZkL?YLtRls_PL>6y-LAPG}V?1A^$Cl+o zM0_5LVsGjCBbA{?4u*doA>~s=Q%z8G3AmvCBFPhv-T6rVT+c@mUnCzc$5Zxz5bL=p z{lAi5I@Uvzo+>)3|K7icMN7}ikJ=^g>4&2CLlDV8lBc?*^?W7wJlIt5odG0!K>X(} znKQp^lLI05lS>0#6(EDW4no}*81w0RKH(e?qyxGB$^96d`Skt9egt|w$GM=p0BGuo z@A6aKcl6(5e9yYvwV&ldR|!bF9fxMoPKg=3qK2)zK zJP&jgfxMo}`9yrr<>=@8lcv5!8>0 zwEkOy`0~m>*UK|c&*h@!cM&p@3FPgVT+eWQlMDV^u-#Zs-XiS$^LnB6uPV~b22y*f zZsmRe&VGdJL$0UD0^P+x2J+lMbszjan&c5#`DyuirKj{1Kf3;00*0#tdHW&fW1aml zml*S@y8loObe94dNPk%C@n0_;{LIXd_RlN-2`u6|f^NOihsuAn^fkc<`E~GmmMFT- zuX{z^Yre6sAcg~&)7!QGm*IJ5Am>y1!#nanWK%d5>}r?37U-yd%=KK>pDTQ~RlZ=S zah_2Z0WzyLF6sbz`OEVJLiE3gPp|Uh?K+LSBDH^7f9ry8njoa{fO;(DKfF&|jf`zJ zwa?D;BI{A=fu7c@@pex3|5u%;JbU9Nqy29pKxWm)MFSw0pOpXZX@i<2eE7HRC+k)I zTrV;N*meDpo8tkmXR)H-gYget-(<7Vf6)6eH3nTXAnAp=mHTm@_B>ntJ+=wxngY%K z7xmw{{^<$9i!U%r^TezVbj=>Bgj(6v4-y&k{tdR0pxc!d2&%cXCFh}r_V{>${S9)Lfu z?$UdeAFmhMezilo?N6J&^rygiLcCuT{(j)RUS+xbcR;!wfn3fs|5kFpCr2iKpPTwi^hp0rGk( z`)|&9n)?lZcs>5R5_H{x+|J7N+&GVu+m#9e!6U4HTK}&?L{|g3{gC}{v>!ZQ;rAc7 z{nYi}Yx!|{tv_DrIsaOI*CF3MfV`gjOT0g0Pw;&s(A1wkcQ+s1W641~9q$#i6Lfn6 zE_%@ehD}ADJdJr`<+a9on()^%aK3c=<+c2{{nq+(6Zm}?$n{s+&)w@EKQ`-taUOk3 zxBuQ7bVFFaaU)uY^sbGo>^r*8*iT=tXX=BX1A)AqlI!`ZZNBHk$-Ra@cQZHrn?W}K z$nC$Je|llak>S_wHpaiY{q768+ko7DO8eu?ADQPV>G`8uKzA#Ums2eKp*9))&kTX! zQQMz>h^RkBSQK*_3w0ap4^8^uRe!ksj8^}&{q&kXw_jR+Z%2ObD4K7&mftVbW$=0O z6vS)#Brip$`M(np-38?JN6w$2|7FUL;`5q5*DKwA+>Lba0doB%IhEZ0&mi!9FObVg zwx26c%98=i`QuE1;8E9~!HDQSim)i=)cM=%@BK*cfuiZsbznaQ=NEnb4b^@>h_oI8 za{ZC^%lVaD{qb6VLgn8pJ=Ir;339QlNAVyJ$ooI?Jh`d^3fI>E-lq1=36|T>ZNG+s zZa9$FbLr1}&1Lz`8~k9?{F)Oi=O%&R)?>KH0rK=u*?W%#)^i>;+Mg_e;MU`~cml}V zPrV;3x4+u{L@U3@=ym_~N$@=k7!On+=dUpT$L)&lzebk6w*Ow~x&CSSJq3Oz0J)qK z<$kQKpMNs$8@o->eC6FB=yn7y#sPW#O%y{GrPhC-eWBscW4rqIH0YiI^8S~cKXvAB zj~eR_8VLmVY=3#aboq@$M9%@a{!06k`mc6fkAH3S-^ean)+o?D3*`LE`G*kuiBWy_ zT7H~=OCUMV`KR<0oz|b{5zz}kUVf+SdC6Oc=5P2aX#T0V(ti;Vy#(ZXD*Mmno*Vb% z^v{g%AF^GL1{nz#9Rq*{jklSfF{%V#WOW;c|cx& zBz?nQMdc@U^ZmrEPOkl%2)emIZa-3lRd?!w2B)_3?=MC6<9!`;Gk{!9a{StPPI}gL z`NsHH?`QS~=q8;ueVRXBYwX7*1cFCxe8)(`eYsWoz z#&mkyu>X4fp4arbUC{RX9i%%Q$oZ7*C;XXtx#<3j*YtV3y8ZJ?&+CzVxiyZwht-+gGGVgG1e&9XiK-2x!jA1VLV1#9bMFEsiOdj8O> z{_y&jA&{K45EqMpJfBqlC3pP37<_*M@=7|np8vRebesBrsmH~PFm*a=m z)%RoGuIulQOF{P$kk=pC{^C4O{`}1AKes=6{JI=`e+=aMC+kUw^)Cn>b^pPu{_=Vi zzWw9vhb4&r6}Z>}y8{-$fAM#Fw-vi|BU#zg|TvMys z%xT8_m!5yy1-jipuD{g&2m4P@e!R+$+wU_kf38>c1hVV7{!xAvo!0-*{@~uuvv!uZ z)JqWGC2aoT>I>s=p0Fi44{$tY?N;Z`A2Xu*3H#{O=V~tf_GcS>!>{ot+!xwaodbDK z;N0GyL!Kk8=t=%Dg5O)BU5_7cf9h*`Zo$v;-#EwizwkTP=VFuJxr&GMn&d<2(7n`0 z^#hvkeM0$%n&CA%A$p%^^>Ep*>y4vu^qj)^g+I21{G;dbBDwAxJ0E*E7Jlph zcI9e0zd}3p`48uBtrCZFh=>0s(Nq85Cu%r9I*0sh#1{uXDLnB(=o4wqKA&g1`Ptj; zCYc4Ii+7*Xxx)@y((~{1=MR&-g426BGoTm=h>!YBEkWrufYG%NhBkcqkmjN0=tg`F-s3ZR+{OdBYx9@bH^S zVp^cuPCYy1{t3#Ty0npwPu%jy1gFa0huNV+4 z#hV7dZ{m~kLH8sNDmSXHq5Pb24*LgwF=hEvzohIhC!A^4W+WFvlAk^gT9p@_N1bGx z2d(*eWXJ0VPP{|(#2@L04oBx_t9nB1m06xT9!g&!h4Tq@9(xMPD;4sj_Y^PXi~Pou zg>xME#VH}rd*??7-q6~DpdO!-m!ff#(|P(CQVG;vY&U+b+uI0x?GLXwz_Nz*G`K5yIbAePJ)NQQrKXB3H-*R^u>*p^Q z2p)8vHR&vzL9(0~H z*Awmk!s~^u|6cRY^@{pe-t*7pr{}-UM@B9La{Dj+CqsOHqWo9F#RWi~PhW{Y&)Tc} zx%{;Lr6b=r0D1c>zaL}_ZC3c!VY@%xJ0Nax^}h<9Hw5x_NZOBU)AwKRKVY{gN}t!m zrO&|g8b#mJbxs4(XZVy)zW8Gw-~U0*Ka)OPgs|0!rYOqwpZQ03|2ePyK4bn&@BfmC z@RtC2`OE&~>W`M~AG*buKhocitAZ}8Xu5QrQ%~f;e}U_z_TTYZe%!8Q2}2MH?V5XW9O) z+WGY_rOfk;_4j*Y;@0BzSN7iy^~{_xGtc<`R?SU6GW)IjZ`7{02LIgtO8bNQ7mxP} zvfcDs;(03|Z@&`%rv8`aKeGI5{r5`G%QeHzzgK#0|8)B8Ah)Z5yq_=aU&ZfQ-SXI8 z<2+P7f6*RvR{?oB$?yN`woa=(D?e!bM0U0V=(+>xxw@6>M?VBDVo`jx1=?sD{K%RdozYR(9MBBN>{EM!CUdxZi ztM$Jt(!B!6p_yy{xn1-L3gTmU$?J}{!d%C|9%tbZU*xHU#zfZRA_K~ z-%exyGiev_>kaG!k9<8Zo$Q^KrTPoe}?}sk2l)!Z}HW?{^0vIpjm&cjjH|Ob|L)shsRr8Ai1d5f836U z?xF~bqFjHK+x+O*=0^`1?RQNP)^X2u@=hh#u^`FOEeD>pR@O?j! zxASuSqqBZ-zp;K$@4s>n=mr9LImz>AF#h53W(ow4y8H$qqWgfn{=^FFSYZBaiD5r7 z1cF=l;$kq6*E2nS;D7D_k%#5j?BOFE4k~(hk)-jw=>dzHnHP~QNR9be81N1 z?~|Y#2IP7o(|7jIDlqoHjW++f|1ccsJ_QUa{}TTF@@eq>0+82}6!$zaUM{-*e+G0T zfn3i{*#*x2lY5N$pG<+^p6egC-&+4hA)@Dj=J-cFHs_DE|J1Xfdkz>>ej)mA2=1AG zUN6FLKe$}A{r6h`L#6*BGBTPnR1{_ZiO!?sc2$qRyrv(j{34_G31aglT)Yb8>BNfk z#)-39Hx5JN>#et(?j?En0g z@%>+y|9FIdr6?U;%lTh*S#sO|$jV>K?=|E#4`|x2KF{xdcb)Gmo5tBru!6pB|9v9p zrUT=F3Sx!Tees1OHWmc=uT!wsaWNIh>zUj?CNTZ&|JrE3wEw^xpqm2Z{ofRkch6?I zgTpps{!f3uodmjEAlH96{toOTI#ucH97EJ{@zqzasDNJI%Aj7Z>jVOVbMn<@`Yj|9&_J{Jsz5_D7DN?pOOanEgM>=3HFN19JJx z?{Db;@^-c4%%6C*KRjRAg7W_XE|vm=%74VMP36n&Hojl!^IH~xZXuBCpR_X<27X(N z`K#Ij!9Cl*Q1)vPB3eQb7RA8+b=bdy^QHU$A0qr>AWui?zcc=tXS83{-TD`q{HqCK z(9JE;3F%kcaYAg_P&`(udj=air2p!*oe>zVAo{Kfb0GnN11ZGUz7 ztw6r>fn3hA|Fr1MZ@&EXOS?MWJCJv!pxc$W_!P+Nxs-qXF%RC5`mM44Nw2?K1-jKh z-hY(#b8M-zw=7<3=zsY7%kyOkBxkL`#abZeUzR`iui$#6=g+*BKQF%wf#j@pxL6P5 z8S;Gq7*u~6zP@O2%c(~D(Zr?y9CTj*dHK`$vEHR$SrR0YjCkDp_PR9PzR({vN*pE8nuM@Cizrw%zIPU2j>ECfr?P?+X_k;b?RWT7= z4CMpp6VjP_+0#GMdFk3upXk&+0kJp-JU)nC@g4J*e(Ytxzu>B~A1x)W%H2ITZAP3} zy(;iKTMTyg3pz^#b}hKIioRFrTOrRESMPn`hvenjIXsUS&Ty_$DcsBch57->Kb_(s zB){4igd;gq_)_q%J}c;bg%fd)wdn1``Q~xr3dd1c%T4)jmons~3&h`WDWKP6U4xKZP^>yXkqFShc^w zdylP3z`4__X&A;xICIW4*vJSa(u}7QMnP{`doQ_?lsNt`N6m8|L%9? zrszV+h0>vZkdD_p?_HG>y)Oqj6FucKO|+W#V*P(z<%gemDdhJzqdv!gp31@Jp8q}3 z*$+9m9L#+l6hAtBMVE|tiBG@SJEZOt^M3LRwQmE-m(nHs9h`rPzgq3_uXgO5tmyCa zi)Sb89W`lhS?uG0eCLt>eW-XyKEy9!A?zTP4?XvbUsLvX8gN;%SovFpH%70Z^U+fv zCyI|SO(^{_{nqt+m7g?GJ8@O5#8vd1FirgH$G|TM`b*_Y?};zMG}QAX=pTir_nPj4 z_6t@X5h-g$vdjm2ZmQCvI#J z*f2H~@liac-h|3e8uoLb_=uj;Cw_|Wy!g+n#`^wIfB!u}{{DNs`1?Po1Rr!>{K$a6 z|I4TT(%=6)(8mB3oU$v$4o@m*Q)oY4^m(7#1>I8r%#R0g^uobYcHtezA6~uTYwmAh z>HUJKA4&6sbg!a0WiN)mMGA|zxjSD*>G6361kRKG_Rf0uS;l(vI)b9}+Fzq|6kV1} zPyJio&qwSzZAF1Rtt`LCC&u@VN-q6hrJr6*>m{h16lYX_EZ0A!99ZW0NEG?^20Bn% zjqhc8y<8d4B?5W*#fo|GwyW5{)ALedfbf}&4mUZiMMJ0j3k>_E_shKyK`R5z`ZK0qw`!f2Z8g@rX#4NA{CK{o z-(p$mNVf{mtbcUgODOvnS^8RkGm!2@KyE*2JZtK|B@owzVZ8vCOZeaGc==_9EkDk`F275_cV8gaA30w?^PveTI}h4z@!o-)o^JoC8lK+_ zC^gO*iDPli|Yj4(s!r^c)A zU`~a9zx}E4y}LoNrC%HA)(3JumFxWm-E!WzgjL3V1M)jIeszHL=mEp#A{Xbq@^~`^ z1-l#k_`+!)y6-yP)m2S9&hLYyoju4RO(m9u&pAR>JS-&pyN7N`G%{ zgz(LQT>quN+pTy0cjSU?hW_dG7L7sIy^CfKi6w*zd9k^&On}yY=27l_^~Vaz5>V~a9*nO3*N7Y!g-Y+ zFBjc^@Ji3^mk)ed)|FtS574w91z0bdg7*sa_^CUdUkBv+C(EzGptTFz=NsomG!_VM zU4;u8-*G!F?YHyGkNSH%x1YNIdkxaR7Rd8Y>6`n-rwas+aQvd}zt{5P{Ok6s2N=1L z7}A)(={+HGoc*#_8ttzhe_W67J%L=$Wc|l_H*S~o{GC_+xn5)nV)F)E^a64_QS$Bg zP2jsXke3scbIEOgyp|u=i}39arzg2sLH_tfYcawjTlh^dQUTXX2m7da5Z0hpA z1AN~Ny_Z#@!zp^Jn4jcN~ZK6=VpyjW+-HAfo$#y#0{# zCsPCaP46-054HUr2)e;QE@xT(*e}84pTZ3S-Mv7rKf3+;yUO3I{J37|{zqi=y8hme zd_Mp*`;VdgMG)Mx{UCWOI<5ba@vrOOLtx}pAeWPz|LW|ocGmFkY|5V#EVsWvaBB!I z9;F9GQT9IzPhH;mzuS%l`TJ0?hjH-;kjpQ{?SFH=!Y{vQ<;UqQLHrNJ#b|m^6s5nD zweH!jDZ7u_>Fl}QZ}u@fA6E1|UAyN^9WnOn5rTp|j*BOO+k~PmzBQ`@0U~) zl!RCN5vu&W()04u<4>>jJblaM{}p6p0%fQuiuMTitzp0Y?)R_A(%1Uym7cesy8rST z_{|0KaPs?E-QV7w-SQio=4qT@dA$XKTN82dIxwDII2bEl9byljIQOK{{$&XY78(Cq z{%;_nNkCptq`w;WYvkphArRbi{pIDa`=65$(VIZ7|0TcwJq3I(19CaZ{bCb-?0e|$ zFKwD%R>5u*2yRWq#fS8OVIv`qFMQ-dxnD#T_FV6mI1SI=WAAYj*e_+=lhbcFzQb7m z*HTdMw{Y<`khkBK$djY5XVz{An*SpD$n;OwpLY<^yFgz4Qhr!J#QQaR{m69C%>tVB zC)E5Kf?G3iF%!t^Z(zUQzyiEYhW*jskG$re>%XplUg{C+7Ic)cnswL>~ZoJ1gyvv)|i7qyMYz z@B5&ee_Hxb>(|bF`G+b$ulmE~k|B`Yp!4E+Imz*Zv)|T-#{5mDOYb%Pzl;CH$jA~P zw?DG{1HYU@#{8w;ugfd{eEjB9@ye)|2I7~$j}%zke#!HCu>OPF58ZxxO`ppzTK&`f zF9+Ydfm}~y`8)M@EBAM|y1V_ik3shdkb!K!#L%fZ{@FYD{7X(JLE*gSpUYM2Umhab zN)Z-CIscJ&=ZbUhTCtnApK@I}$#Vt5uLSaPmi>2}_mEsPUaO&?Td(|6dWufl|5b=+ zEzs0oF)R1}%3F6D{+@DP2fx+8H9($@EI)_;4~+49@!4Om`RC=Q?e9A9y#dI>$@!lr z&)=AP_1=*7dp+nr1@d|py8TD+sM{Z}`R9D;`nwT~Yy$H9%kj7K%Qwak>3Ht_ydj>x zuK$}=0@fBF*Z-3L{UslK?*j7vi`4)2Z@qBW4_gg?_j&@st!=p24&?IpiGnNTer?|! zH2ROlXTNtK-JL*Qf3^OGDnGCK$K%!ZCo+1izh3FNU8^OKUC;F|fe0L|?b3(#_uk{( z-~0Cj@lvTdQzu;#CmJq4+GXG)f7q>^-wE6K{C|k#MgEV$=dmll;ooehxx82VX{+Za zZN)ytL-NCY4xQUg;q-g%pBzj122wrti3#h2-iPW@ezPan>Wk2BJ>MEfqa4s2*%O5A(w*UwX?$BR=39{tzyU*pBeNiY1q zrEQ#0{=B6?mnH@}2SLZ<-j8#_={)w>kbc{i^V9jQacdRnq8TF|nf%SelfO9&{=+0U z3+cun9eS?mReaJuI6ps--cxvbPtX1E3-yV>>GXTL#lw%4@<;yHBqxf8=wpJ?`Jw89 z3HdiAz)!a{-ka$r8FZRoC0~l4kmz+d%lU=UAF^kKc3`%@{Eb9U@liZ!IA@*sq30AX z$?#jI=N9~QlTj|zt|cR1ls?60rbF@gMb|dRpXw?7ms11o##73|pEp?E&NgQkYCaD; z{h%@kPw7&;l)g`NbrjSu)V>LtUio8}1HZ&)XgMi)`-Dn2)u2nmz77fQz5vQko64W! zC;mu}NN$?nesx~!oHaICDF1f~UkE#7@<;h5dcPQ2@#ZDdlT(DU4}LXWQYqQ+s}A;` zR`#Q;kuOT$^+-d}$&5-?tubD*sZA_jC?@sCY>((qG%JBw#(z QcR