diff --git "a/notebooks/00_Data Analysis.ipynb" "b/notebooks/00_Data Analysis.ipynb" --- "a/notebooks/00_Data Analysis.ipynb" +++ "b/notebooks/00_Data Analysis.ipynb" @@ -1 +1 @@ -{"cells":[{"cell_type":"code","execution_count":1,"metadata":{"executionInfo":{"elapsed":476,"status":"ok","timestamp":1720679526275,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"},"user_tz":-480},"id":"uWKRSV6eZsCn"},"outputs":[],"source":["%load_ext autoreload\n","%autoreload 2"]},{"cell_type":"code","execution_count":2,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{"byteLimit":2048000,"rowLimit":10000},"inputWidgets":{},"nuid":"6d394937-6c99-4a7c-9d32-7600a280032f","showTitle":false,"title":""},"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":5,"status":"ok","timestamp":1720679529345,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"},"user_tz":-480},"id":"G5pNu3zgZBrL","outputId":"160a554f-fb08-4aa0-bc00-0422fb7c1fac"},"outputs":[{"name":"stdout","output_type":"stream","text":["workding dir: /Users/inflaton/code/engd/papers/rapget-translation\n"]}],"source":["import os\n","import sys\n","from pathlib import Path\n","\n","# check if workding_dir is in local variables\n","if \"workding_dir\" not in locals():\n"," workding_dir = str(Path.cwd().parent)\n","\n","os.chdir(workding_dir)\n","sys.path.append(workding_dir)\n","print(\"workding dir:\", workding_dir)"]},{"cell_type":"code","execution_count":3,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{"byteLimit":2048000,"rowLimit":10000},"inputWidgets":{},"nuid":"9f67ec60-2f24-411c-84eb-0dd664b44775","showTitle":false,"title":""},"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1720679529345,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"},"user_tz":-480},"id":"hPCC-6m7ZBrM","outputId":"c7aa2c96-5e99-440a-c148-201d79465ff9"},"outputs":[{"name":"stdout","output_type":"stream","text":["loading env vars from: /Users/inflaton/code/engd/papers/rapget-translation/.env\n"]},{"data":{"text/plain":["True"]},"execution_count":3,"metadata":{},"output_type":"execute_result"}],"source":["from dotenv import find_dotenv, load_dotenv\n","\n","found_dotenv = find_dotenv(\".env\")\n","\n","if len(found_dotenv) == 0:\n"," found_dotenv = find_dotenv(\".env.example\")\n","print(f\"loading env vars from: {found_dotenv}\")\n","load_dotenv(found_dotenv, override=True)"]},{"cell_type":"code","execution_count":4,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{"byteLimit":2048000,"rowLimit":10000},"inputWidgets":{},"nuid":"f1597656-8042-4878-9d3b-9ebfb8dd86dc","showTitle":false,"title":""},"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1720679529345,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"},"user_tz":-480},"id":"1M3IraVtZBrM","outputId":"29ab35f6-2970-4ade-d85d-3174acf8cda0"},"outputs":[{"name":"stdout","output_type":"stream","text":["Qwen/Qwen2-7B-Instruct None False datasets/mac/mac.tsv results/mac-results.csv False 300\n"]}],"source":["import os\n","\n","model_name = os.getenv(\"MODEL_NAME\")\n","adapter_name_or_path = os.getenv(\"ADAPTER_NAME_OR_PATH\")\n","load_in_4bit = os.getenv(\"LOAD_IN_4BIT\") == \"true\"\n","data_path = os.getenv(\"DATA_PATH\")\n","results_path = os.getenv(\"RESULTS_PATH\")\n","use_english_datasets = os.getenv(\"USE_ENGLISH_DATASETS\") == \"true\"\n","max_new_tokens = int(os.getenv(\"MAX_NEW_TOKENS\", 2048))\n","\n","print(model_name, adapter_name_or_path, load_in_4bit, data_path, results_path, use_english_datasets, max_new_tokens)"]},{"cell_type":"code","execution_count":5,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{"byteLimit":2048000,"rowLimit":10000},"inputWidgets":{},"nuid":"b2a43943-9324-4839-9a47-cfa72de2244b","showTitle":false,"title":""},"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":564,"status":"ok","timestamp":1720679529907,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"},"user_tz":-480},"id":"UgMvt6dIZBrM","outputId":"ce37581c-fd26-46c2-ad87-d933d99f68f7"},"outputs":[{"name":"stdout","output_type":"stream","text":["Python 3.11.9\n","Name: torch\n","Version: 2.4.0\n","Summary: Tensors and Dynamic neural networks in Python with strong GPU acceleration\n","Home-page: https://pytorch.org/\n","Author: PyTorch Team\n","Author-email: packages@pytorch.org\n","License: BSD-3\n","Location: /Users/inflaton/anaconda3/envs/rapget/lib/python3.11/site-packages\n","Requires: filelock, fsspec, jinja2, networkx, sympy, typing-extensions\n","Required-by: accelerate, peft, torchaudio, torchvision\n","---\n","Name: transformers\n","Version: 4.43.3\n","Summary: State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow\n","Home-page: https://github.com/huggingface/transformers\n","Author: The Hugging Face team (past and future) with the help of all our contributors (https://github.com/huggingface/transformers/graphs/contributors)\n","Author-email: transformers@huggingface.co\n","License: Apache 2.0 License\n","Location: /Users/inflaton/anaconda3/envs/rapget/lib/python3.11/site-packages\n","Requires: filelock, huggingface-hub, numpy, packaging, pyyaml, regex, requests, safetensors, tokenizers, tqdm\n","Required-by: peft\n","CPU times: user 8.67 ms, sys: 9.11 ms, total: 17.8 ms\n","Wall time: 1.78 s\n"]}],"source":["%%time\n","os.environ[\"TOKENIZERS_PARALLELISM\"] = \"true\"\n","\n","!python --version\n","!pip show torch transformers"]},{"cell_type":"code","execution_count":6,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1685,"status":"ok","timestamp":1720679531591,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"},"user_tz":-480},"id":"ZuS_FsLyZBrN","outputId":"2cba0105-c505-4395-afbd-2f2fee6581d0"},"outputs":[{"name":"stderr","output_type":"stream","text":["[nltk_data] Downloading package wordnet to\n","[nltk_data] /Users/inflaton/nltk_data...\n","[nltk_data] Package wordnet is already up-to-date!\n","[nltk_data] Downloading package punkt to /Users/inflaton/nltk_data...\n","[nltk_data] Package punkt is already up-to-date!\n","[nltk_data] Downloading package omw-1.4 to\n","[nltk_data] /Users/inflaton/nltk_data...\n","[nltk_data] Package omw-1.4 is already up-to-date!\n"]},{"name":"stdout","output_type":"stream","text":["loading: /Users/inflaton/code/engd/papers/rapget-translation/eval_modules/calc_repetitions.py\n","loading /Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py\n"]},{"name":"stderr","output_type":"stream","text":["[nltk_data] Downloading package wordnet to\n","[nltk_data] /Users/inflaton/nltk_data...\n","[nltk_data] Package wordnet is already up-to-date!\n","[nltk_data] Downloading package punkt to /Users/inflaton/nltk_data...\n","[nltk_data] Package punkt is already up-to-date!\n","[nltk_data] Downloading package omw-1.4 to\n","[nltk_data] /Users/inflaton/nltk_data...\n","[nltk_data] Package omw-1.4 is already up-to-date!\n"]},{"name":"stdout","output_type":"stream","text":["MPS is available\n"]}],"source":["from llm_toolkit.llm_utils import *\n","from llm_toolkit.translation_utils import *\n","\n","device = check_gpu()"]},{"cell_type":"code","execution_count":7,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","RangeIndex: 1133 entries, 0 to 1132\n","Data columns (total 60 columns):\n"," # Column Non-Null Count Dtype \n","--- ------ -------------- ----- \n"," 0 chinese 1133 non-null object\n"," 1 english 1133 non-null object\n"," 2 Qwen/Qwen2-7B-Instruct/rpp-1.00 1133 non-null object\n"," 3 Qwen/Qwen2-7B-Instruct/rpp-1.02 1133 non-null object\n"," 4 Qwen/Qwen2-7B-Instruct/rpp-1.04 1133 non-null object\n"," 5 Qwen/Qwen2-7B-Instruct/rpp-1.06 1133 non-null object\n"," 6 Qwen/Qwen2-7B-Instruct/rpp-1.08 1133 non-null object\n"," 7 Qwen/Qwen2-7B-Instruct/rpp-1.10 1133 non-null object\n"," 8 Qwen/Qwen2-72B-Instruct/rpp-1.00 1133 non-null object\n"," 9 Qwen/Qwen2-7B-Instruct/rpp-1.12 1133 non-null object\n"," 10 Qwen/Qwen2-7B-Instruct/rpp-1.14 1133 non-null object\n"," 11 Qwen/Qwen2-7B-Instruct/rpp-1.16 1133 non-null object\n"," 12 Qwen/Qwen2-7B-Instruct/rpp-1.18 1133 non-null object\n"," 13 Qwen/Qwen2-7B-Instruct/rpp-1.20 1133 non-null object\n"," 14 Qwen/Qwen2-7B-Instruct/rpp-1.22 1133 non-null object\n"," 15 Qwen/Qwen2-7B-Instruct/rpp-1.24 1133 non-null object\n"," 16 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.00 1133 non-null object\n"," 17 Qwen/Qwen2-7B-Instruct/rpp-1.26 1133 non-null object\n"," 18 Qwen/Qwen2-72B-Instruct/rpp-1.02 1133 non-null object\n"," 19 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.02 1133 non-null object\n"," 20 Qwen/Qwen2-7B-Instruct/rpp-1.28 1133 non-null object\n"," 21 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.04 1133 non-null object\n"," 22 Qwen/Qwen2-7B-Instruct/rpp-1.30 1133 non-null object\n"," 23 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.06 1133 non-null object\n"," 24 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.00 1133 non-null object\n"," 25 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.02 1133 non-null object\n"," 26 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.08 1133 non-null object\n"," 27 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.04 1133 non-null object\n"," 28 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.10 1133 non-null object\n"," 29 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.06 1133 non-null object\n"," 30 Qwen/Qwen2-72B-Instruct/rpp-1.04 1133 non-null object\n"," 31 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.12 1133 non-null object\n"," 32 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.08 1133 non-null object\n"," 33 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.14 1133 non-null object\n"," 34 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.10 1133 non-null object\n"," 35 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.16 1133 non-null object\n"," 36 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.12 1133 non-null object\n"," 37 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.18 1133 non-null object\n"," 38 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.14 1133 non-null object\n"," 39 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.16 1133 non-null object\n"," 40 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.20 1133 non-null object\n"," 41 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.18 1133 non-null object\n"," 42 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.22 1133 non-null object\n"," 43 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.20 1133 non-null object\n"," 44 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.24 1133 non-null object\n"," 45 Qwen/Qwen2-72B-Instruct/rpp-1.06 1133 non-null object\n"," 46 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.22 1133 non-null object\n"," 47 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.26 1133 non-null object\n"," 48 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.28 1133 non-null object\n"," 49 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.24 1133 non-null object\n"," 50 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.30 1133 non-null object\n"," 51 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.26 1133 non-null object\n"," 52 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.28 1133 non-null object\n"," 53 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.30 1133 non-null object\n"," 54 Qwen/Qwen2-72B-Instruct/rpp-1.08 1133 non-null object\n"," 55 Qwen/Qwen2-72B-Instruct/rpp-1.10 1133 non-null object\n"," 56 Qwen/Qwen2-72B-Instruct/rpp-1.12 1133 non-null object\n"," 57 internlm/internlm2_5-7b-chat/rpp-1.00 1133 non-null object\n"," 58 Qwen/Qwen2-72B-Instruct/rpp-1.14 1133 non-null object\n"," 59 Qwen/Qwen2-72B-Instruct/rpp-1.16 1133 non-null object\n","dtypes: object(60)\n","memory usage: 531.2+ KB\n"]}],"source":["import pandas as pd\n","\n","df = pd.read_csv(results_path)\n","df.info()"]},{"cell_type":"code","execution_count":8,"metadata":{},"outputs":[{"data":{"text/plain":["['chinese',\n"," 'english',\n"," 'Qwen/Qwen2-72B-Instruct/rpp-1.00',\n"," 'Qwen/Qwen2-72B-Instruct/rpp-1.02',\n"," 'Qwen/Qwen2-72B-Instruct/rpp-1.04',\n"," 'Qwen/Qwen2-72B-Instruct/rpp-1.06',\n"," 'Qwen/Qwen2-72B-Instruct/rpp-1.08',\n"," 'Qwen/Qwen2-72B-Instruct/rpp-1.10',\n"," 'Qwen/Qwen2-72B-Instruct/rpp-1.12',\n"," 'Qwen/Qwen2-72B-Instruct/rpp-1.14',\n"," 'Qwen/Qwen2-72B-Instruct/rpp-1.16',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.00',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.02',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.04',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.06',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.08',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.10',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.12',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.14',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.16',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.18',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.20',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.22',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.24',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.26',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.28',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.30',\n"," 'internlm/internlm2_5-7b-chat/rpp-1.00',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.00',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.02',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.04',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.06',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.08',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.10',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.12',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.14',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.16',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.18',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.20',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.22',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.24',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.26',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.28',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.30',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.00',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.02',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.04',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.06',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.08',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.10',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.12',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.14',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.16',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.18',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.20',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.22',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.24',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.26',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.28',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.30']"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["columns = df.columns[2:].to_list()\n","columns.sort()\n","columns = df.columns[:2].to_list() + columns\n","columns"]},{"cell_type":"code","execution_count":9,"metadata":{},"outputs":[],"source":["df = df[columns]"]},{"cell_type":"code","execution_count":10,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Qwen/Qwen2-72B-Instruct/rpp-1.00: {'meteor': 0.3931693232556192, 'bleu_scores': {'bleu': 0.12273151341458781, 'precisions': [0.4199273774494459, 0.16226917210268393, 0.07941374663072777, 0.04192938209331652], 'brevity_penalty': 1.0, 'length_ratio': 1.0581649552832064, 'translation_length': 31946, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.44256389227683435, 'rouge2': 0.19256890797949983, 'rougeL': 0.3841780658533895, 'rougeLsum': 0.3845384116964501}, 'accuracy': 0.0, 'correct_ids': []}\n","Qwen/Qwen2-72B-Instruct/rpp-1.02: {'meteor': 0.3925672197170406, 'bleu_scores': {'bleu': 0.12421056155279153, 'precisions': [0.4254972181364712, 0.16363093460734549, 0.08028819635962493, 0.042581432056249105], 'brevity_penalty': 1.0, 'length_ratio': 1.0359059291156012, 'translation_length': 31274, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 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modelrppmeteorbleu_1rouge_lews_scorerepetition_scoretotal_repetitionsnum_entries_with_max_output_tokensrap
0Qwen/Qwen2-72B-Instruct1.000.3931690.1227320.3841780.00.3636360.36363600.387164
1Qwen/Qwen2-72B-Instruct1.020.3925670.1242110.3833550.00.3459840.34598400.386853
2Qwen/Qwen2-72B-Instruct1.040.3923590.1240270.3835640.00.3565750.35657500.386478
3Qwen/Qwen2-72B-Instruct1.060.3909930.1232450.3827610.00.3565750.35657500.385133
4Qwen/Qwen2-72B-Instruct1.080.3919840.1220160.3833690.00.3459840.34598400.386278
5Qwen/Qwen2-72B-Instruct1.100.3910100.1206100.3815970.00.3768760.37687600.384827
6Qwen/Qwen2-72B-Instruct1.120.3899890.1183830.3813140.00.4068840.40688400.383349
7Qwen/Qwen2-72B-Instruct1.140.3872150.1115640.3779340.04.6954994.69549910.331752
8Qwen/Qwen2-72B-Instruct1.160.3879340.1150910.3780330.01.7360991.73609910.362716
9Qwen/Qwen2-7B-Instruct1.000.3773140.1174820.3685350.00.2639010.26390100.373093
10Qwen/Qwen2-7B-Instruct1.020.3776790.1164320.3691710.00.2639010.26390100.373454
11Qwen/Qwen2-7B-Instruct1.040.3778170.1154580.3689660.00.2550750.25507500.373729
12Qwen/Qwen2-7B-Instruct1.060.3773530.1150990.3672060.00.2497790.24977900.373352
13Qwen/Qwen2-7B-Instruct1.080.3747070.1116490.3640640.00.2418360.24183600.370858
14Qwen/Qwen2-7B-Instruct1.100.3726930.1092540.3601360.00.2506620.25066200.368729
15Qwen/Qwen2-7B-Instruct1.120.3709820.1064750.3583620.00.2506620.25066200.367036
16Qwen/Qwen2-7B-Instruct1.140.3680160.1043740.3563340.00.2506620.25066200.364101
17Qwen/Qwen2-7B-Instruct1.160.3673920.1020630.3542800.00.2850840.28508400.362961
18Qwen/Qwen2-7B-Instruct1.180.3639670.0987850.3502120.00.2753750.27537500.359723
19Qwen/Qwen2-7B-Instruct1.200.3597350.0951480.3464050.00.2859660.28596600.355384
20Qwen/Qwen2-7B-Instruct1.220.3574080.0919950.3450270.00.2056490.20564900.354276
21Qwen/Qwen2-7B-Instruct1.240.3534400.0864390.3395390.00.1791700.17917000.350735
22Qwen/Qwen2-7B-Instruct1.260.3479600.0814270.3349340.00.2135920.21359200.344795
23Qwen/Qwen2-7B-Instruct1.280.3438110.0734160.3304490.00.2197710.21977120.340595
24Qwen/Qwen2-7B-Instruct1.300.3405230.0723060.3269430.00.2127100.21271030.337439
25internlm/internlm2_5-7b-chat1.000.3654330.1100860.3582680.00.3009710.30097100.360787
26shenzhi-wang/Llama3.1-8B-Chinese-Chat1.000.3576980.1015240.3452050.00.3706970.37069700.352132
27shenzhi-wang/Llama3.1-8B-Chinese-Chat1.020.3581070.1010700.3452720.00.3398060.33980600.352985
28shenzhi-wang/Llama3.1-8B-Chinese-Chat1.040.3565930.1007710.3446490.00.3601060.36010600.351197
29shenzhi-wang/Llama3.1-8B-Chinese-Chat1.060.3561110.0993820.3430230.00.3309800.33098000.351146
30shenzhi-wang/Llama3.1-8B-Chinese-Chat1.080.3546270.0969250.3426430.00.3556930.35569300.349324
31shenzhi-wang/Llama3.1-8B-Chinese-Chat1.100.3528660.0967160.3410780.00.3186230.31862300.348124
32shenzhi-wang/Llama3.1-8B-Chinese-Chat1.120.3514960.0947580.3404910.00.3389230.33892300.346480
33shenzhi-wang/Llama3.1-8B-Chinese-Chat1.140.3520470.0946390.3399580.00.3601060.36010600.346720
34shenzhi-wang/Llama3.1-8B-Chinese-Chat1.160.3505260.0935260.3382550.00.3759930.37599300.344995
35shenzhi-wang/Llama3.1-8B-Chinese-Chat1.180.3489000.0928940.3372780.00.3830540.38305400.343295
36shenzhi-wang/Llama3.1-8B-Chinese-Chat1.200.3477430.0913330.3354400.00.3830540.38305400.342157
37shenzhi-wang/Llama3.1-8B-Chinese-Chat1.220.3460870.0902440.3343490.00.4033540.40335400.340244
38shenzhi-wang/Llama3.1-8B-Chinese-Chat1.240.3440970.0832330.3323710.00.4880850.48808520.337120
39shenzhi-wang/Llama3.1-8B-Chinese-Chat1.260.3426440.0851370.3305410.00.3495150.34951520.337607
40shenzhi-wang/Llama3.1-8B-Chinese-Chat1.280.3403420.0837870.3279790.00.2974400.29744000.336064
41shenzhi-wang/Llama3.1-8B-Chinese-Chat1.300.3393500.0819880.3270350.00.2806710.28067110.335319
42shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat1.000.3256640.0833130.3160520.00.1774050.17740500.323196
43shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat1.020.3261640.0843720.3159240.00.1809360.18093600.323643
44shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat1.040.3261270.0841030.3159000.00.9355690.93556910.313933
45shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat1.060.3261020.0844090.3154550.00.8005300.80053010.315548
46shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat1.080.3251910.0857350.3152750.00.8005300.80053010.314667
47shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat1.100.3251090.0857220.3141900.00.3009710.30097100.320976
48shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat1.120.3253220.0850100.3135620.00.3036190.30361900.321150
49shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat1.140.3224620.0838930.3131470.00.1906440.19064400.319839
50shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat1.160.3235460.0839000.3136100.00.2771400.27714000.319750
51shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat1.180.3227460.0823750.3123280.00.1562220.15622200.320588
52shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat1.200.3213480.0802150.3108040.00.1376880.13768800.319451
53shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat1.220.3193970.0802730.3088350.00.1535750.15357500.317297
54shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat1.240.3188660.0787800.3069670.00.0909090.09090900.317618
55shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat1.260.3180510.0777760.3065040.00.0820830.08208300.316926
56shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat1.280.3156410.0747120.3047830.00.2180050.21800500.312712
57shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat1.300.3144850.0748470.3033570.00.0767870.07678700.313444
\n","
"],"text/plain":[" model rpp meteor bleu_1 \\\n","0 Qwen/Qwen2-72B-Instruct 1.00 0.393169 0.122732 \n","1 Qwen/Qwen2-72B-Instruct 1.02 0.392567 0.124211 \n","2 Qwen/Qwen2-72B-Instruct 1.04 0.392359 0.124027 \n","3 Qwen/Qwen2-72B-Instruct 1.06 0.390993 0.123245 \n","4 Qwen/Qwen2-72B-Instruct 1.08 0.391984 0.122016 \n","5 Qwen/Qwen2-72B-Instruct 1.10 0.391010 0.120610 \n","6 Qwen/Qwen2-72B-Instruct 1.12 0.389989 0.118383 \n","7 Qwen/Qwen2-72B-Instruct 1.14 0.387215 0.111564 \n","8 Qwen/Qwen2-72B-Instruct 1.16 0.387934 0.115091 \n","9 Qwen/Qwen2-7B-Instruct 1.00 0.377314 0.117482 \n","10 Qwen/Qwen2-7B-Instruct 1.02 0.377679 0.116432 \n","11 Qwen/Qwen2-7B-Instruct 1.04 0.377817 0.115458 \n","12 Qwen/Qwen2-7B-Instruct 1.06 0.377353 0.115099 \n","13 Qwen/Qwen2-7B-Instruct 1.08 0.374707 0.111649 \n","14 Qwen/Qwen2-7B-Instruct 1.10 0.372693 0.109254 \n","15 Qwen/Qwen2-7B-Instruct 1.12 0.370982 0.106475 \n","16 Qwen/Qwen2-7B-Instruct 1.14 0.368016 0.104374 \n","17 Qwen/Qwen2-7B-Instruct 1.16 0.367392 0.102063 \n","18 Qwen/Qwen2-7B-Instruct 1.18 0.363967 0.098785 \n","19 Qwen/Qwen2-7B-Instruct 1.20 0.359735 0.095148 \n","20 Qwen/Qwen2-7B-Instruct 1.22 0.357408 0.091995 \n","21 Qwen/Qwen2-7B-Instruct 1.24 0.353440 0.086439 \n","22 Qwen/Qwen2-7B-Instruct 1.26 0.347960 0.081427 \n","23 Qwen/Qwen2-7B-Instruct 1.28 0.343811 0.073416 \n","24 Qwen/Qwen2-7B-Instruct 1.30 0.340523 0.072306 \n","25 internlm/internlm2_5-7b-chat 1.00 0.365433 0.110086 \n","26 shenzhi-wang/Llama3.1-8B-Chinese-Chat 1.00 0.357698 0.101524 \n","27 shenzhi-wang/Llama3.1-8B-Chinese-Chat 1.02 0.358107 0.101070 \n","28 shenzhi-wang/Llama3.1-8B-Chinese-Chat 1.04 0.356593 0.100771 \n","29 shenzhi-wang/Llama3.1-8B-Chinese-Chat 1.06 0.356111 0.099382 \n","30 shenzhi-wang/Llama3.1-8B-Chinese-Chat 1.08 0.354627 0.096925 \n","31 shenzhi-wang/Llama3.1-8B-Chinese-Chat 1.10 0.352866 0.096716 \n","32 shenzhi-wang/Llama3.1-8B-Chinese-Chat 1.12 0.351496 0.094758 \n","33 shenzhi-wang/Llama3.1-8B-Chinese-Chat 1.14 0.352047 0.094639 \n","34 shenzhi-wang/Llama3.1-8B-Chinese-Chat 1.16 0.350526 0.093526 \n","35 shenzhi-wang/Llama3.1-8B-Chinese-Chat 1.18 0.348900 0.092894 \n","36 shenzhi-wang/Llama3.1-8B-Chinese-Chat 1.20 0.347743 0.091333 \n","37 shenzhi-wang/Llama3.1-8B-Chinese-Chat 1.22 0.346087 0.090244 \n","38 shenzhi-wang/Llama3.1-8B-Chinese-Chat 1.24 0.344097 0.083233 \n","39 shenzhi-wang/Llama3.1-8B-Chinese-Chat 1.26 0.342644 0.085137 \n","40 shenzhi-wang/Llama3.1-8B-Chinese-Chat 1.28 0.340342 0.083787 \n","41 shenzhi-wang/Llama3.1-8B-Chinese-Chat 1.30 0.339350 0.081988 \n","42 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 1.00 0.325664 0.083313 \n","43 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 1.02 0.326164 0.084372 \n","44 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 1.04 0.326127 0.084103 \n","45 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 1.06 0.326102 0.084409 \n","46 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 1.08 0.325191 0.085735 \n","47 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 1.10 0.325109 0.085722 \n","48 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 1.12 0.325322 0.085010 \n","49 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 1.14 0.322462 0.083893 \n","50 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 1.16 0.323546 0.083900 \n","51 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 1.18 0.322746 0.082375 \n","52 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 1.20 0.321348 0.080215 \n","53 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 1.22 0.319397 0.080273 \n","54 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 1.24 0.318866 0.078780 \n","55 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 1.26 0.318051 0.077776 \n","56 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 1.28 0.315641 0.074712 \n","57 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 1.30 0.314485 0.074847 \n","\n"," rouge_l ews_score repetition_score total_repetitions \\\n","0 0.384178 0.0 0.363636 0.363636 \n","1 0.383355 0.0 0.345984 0.345984 \n","2 0.383564 0.0 0.356575 0.356575 \n","3 0.382761 0.0 0.356575 0.356575 \n","4 0.383369 0.0 0.345984 0.345984 \n","5 0.381597 0.0 0.376876 0.376876 \n","6 0.381314 0.0 0.406884 0.406884 \n","7 0.377934 0.0 4.695499 4.695499 \n","8 0.378033 0.0 1.736099 1.736099 \n","9 0.368535 0.0 0.263901 0.263901 \n","10 0.369171 0.0 0.263901 0.263901 \n","11 0.368966 0.0 0.255075 0.255075 \n","12 0.367206 0.0 0.249779 0.249779 \n","13 0.364064 0.0 0.241836 0.241836 \n","14 0.360136 0.0 0.250662 0.250662 \n","15 0.358362 0.0 0.250662 0.250662 \n","16 0.356334 0.0 0.250662 0.250662 \n","17 0.354280 0.0 0.285084 0.285084 \n","18 0.350212 0.0 0.275375 0.275375 \n","19 0.346405 0.0 0.285966 0.285966 \n","20 0.345027 0.0 0.205649 0.205649 \n","21 0.339539 0.0 0.179170 0.179170 \n","22 0.334934 0.0 0.213592 0.213592 \n","23 0.330449 0.0 0.219771 0.219771 \n","24 0.326943 0.0 0.212710 0.212710 \n","25 0.358268 0.0 0.300971 0.300971 \n","26 0.345205 0.0 0.370697 0.370697 \n","27 0.345272 0.0 0.339806 0.339806 \n","28 0.344649 0.0 0.360106 0.360106 \n","29 0.343023 0.0 0.330980 0.330980 \n","30 0.342643 0.0 0.355693 0.355693 \n","31 0.341078 0.0 0.318623 0.318623 \n","32 0.340491 0.0 0.338923 0.338923 \n","33 0.339958 0.0 0.360106 0.360106 \n","34 0.338255 0.0 0.375993 0.375993 \n","35 0.337278 0.0 0.383054 0.383054 \n","36 0.335440 0.0 0.383054 0.383054 \n","37 0.334349 0.0 0.403354 0.403354 \n","38 0.332371 0.0 0.488085 0.488085 \n","39 0.330541 0.0 0.349515 0.349515 \n","40 0.327979 0.0 0.297440 0.297440 \n","41 0.327035 0.0 0.280671 0.280671 \n","42 0.316052 0.0 0.177405 0.177405 \n","43 0.315924 0.0 0.180936 0.180936 \n","44 0.315900 0.0 0.935569 0.935569 \n","45 0.315455 0.0 0.800530 0.800530 \n","46 0.315275 0.0 0.800530 0.800530 \n","47 0.314190 0.0 0.300971 0.300971 \n","48 0.313562 0.0 0.303619 0.303619 \n","49 0.313147 0.0 0.190644 0.190644 \n","50 0.313610 0.0 0.277140 0.277140 \n","51 0.312328 0.0 0.156222 0.156222 \n","52 0.310804 0.0 0.137688 0.137688 \n","53 0.308835 0.0 0.153575 0.153575 \n","54 0.306967 0.0 0.090909 0.090909 \n","55 0.306504 0.0 0.082083 0.082083 \n","56 0.304783 0.0 0.218005 0.218005 \n","57 0.303357 0.0 0.076787 0.076787 \n","\n"," num_entries_with_max_output_tokens rap \n","0 0 0.387164 \n","1 0 0.386853 \n","2 0 0.386478 \n","3 0 0.385133 \n","4 0 0.386278 \n","5 0 0.384827 \n","6 0 0.383349 \n","7 1 0.331752 \n","8 1 0.362716 \n","9 0 0.373093 \n","10 0 0.373454 \n","11 0 0.373729 \n","12 0 0.373352 \n","13 0 0.370858 \n","14 0 0.368729 \n","15 0 0.367036 \n","16 0 0.364101 \n","17 0 0.362961 \n","18 0 0.359723 \n","19 0 0.355384 \n","20 0 0.354276 \n","21 0 0.350735 \n","22 0 0.344795 \n","23 2 0.340595 \n","24 3 0.337439 \n","25 0 0.360787 \n","26 0 0.352132 \n","27 0 0.352985 \n","28 0 0.351197 \n","29 0 0.351146 \n","30 0 0.349324 \n","31 0 0.348124 \n","32 0 0.346480 \n","33 0 0.346720 \n","34 0 0.344995 \n","35 0 0.343295 \n","36 0 0.342157 \n","37 0 0.340244 \n","38 2 0.337120 \n","39 2 0.337607 \n","40 0 0.336064 \n","41 1 0.335319 \n","42 0 0.323196 \n","43 0 0.323643 \n","44 1 0.313933 \n","45 1 0.315548 \n","46 1 0.314667 \n","47 0 0.320976 \n","48 0 0.321150 \n","49 0 0.319839 \n","50 0 0.319750 \n","51 0 0.320588 \n","52 0 0.319451 \n","53 0 0.317297 \n","54 0 0.317618 \n","55 0 0.316926 \n","56 0 0.312712 \n","57 0 0.313444 "]},"execution_count":10,"metadata":{},"output_type":"execute_result"}],"source":["metrics_df = get_metrics(df, max_output_tokens=max_new_tokens)\n","metrics_df"]},{"cell_type":"code","execution_count":11,"metadata":{},"outputs":[],"source":["models = metrics_df[\"model\"].unique()"]},{"cell_type":"code","execution_count":12,"metadata":{},"outputs":[{"data":{"text/plain":["array(['Qwen/Qwen2-72B-Instruct', 'Qwen/Qwen2-7B-Instruct',\n"," 'internlm/internlm2_5-7b-chat',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat'], dtype=object)"]},"execution_count":12,"metadata":{},"output_type":"execute_result"}],"source":["models"]},{"cell_type":"code","execution_count":23,"metadata":{},"outputs":[{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA1cAAALwCAYAAAB7rI8SAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/TGe4hAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd3hUVf7H8fedPpPeOy0EklCVZgEEpNkQXZVVFMSuYS2s69rWXVdXd9V1+a0GcdcFFRsWVBRFEEVFkKYgkBB6CSGdZFIm039/3GSSAaIBEiYh39fzzDNz7z1z53sjJvnknHuO4vV6vQghhBBCCCGEOCWaQBcghBBCCCGEEGcCCVdCCCGEEEII0QokXAkhhBBCCCFEK5BwJYQQQgghhBCtQMKVEEIIIYQQQrQCCVdCCCGEEEII0QokXAkhhBBCCCFEK5BwJYQQQgghhBCtQBfoAtojj8dDQUEBISEhKIoS6HKEEEIIIYQQAeL1eqmqqiIxMRGN5pf7piRcHUdBQQEpKSmBLkMIIYQQQgjRThw8eJDk5ORfbCPh6jhCQkIA9QsYGhoa4GqAKVNg4cJAV3FypPbAkNoDQ2oPDKk9MKT2wJDaA0NqD4x2UrvVaiUlJcWXEX6JhKvjaBgKGBoa2j7ClV4P7aGOkyG1B4bUHhhSe2BI7YEhtQeG1B4YUntgtLPaW3K7kExoIYQQQgghhBCtQMKVEEIIIYQQQrQCCVdCCCGEEEII0QokXDWRnZ1NZmYmQ4YMCXQpQgghhBBCiA5GwlUTWVlZ5OTksH79+kCXIoQQQgghhOhgJFwJIYQQQgghRCuQcCWEEEIIIYQQrUDClRBCCCGEEEK0AglXQgghhBBCCNEKJFwJIYQQQgghRCuQcCWEEEIIIYQQrUDClRBCCCGEEEK0AglXQgghhBBCCNEKJFw1kZ2dTWZmJkOGDAl0KUIIIYQQQogORsJVE1lZWeTk5LB+/fpAlyKEEEIIIYToYCRcCSGEEEIIIUQr0AW6APHL1uwuoy44hbADRwgz630PvVZysRBCCCGEEO2JhKt27pkvtvNTl4thzmq//UEGLWFmPaFNAlfTR7il+WM6CWZCCCGEEEK0OglX7VxqTDCOvJ1UJnah0uakqs4FQI3DTY3DTUFl3QmfM9ioaxLMdMcGMIvhuKEs1KSTYCaEEEIIIUQzJFy1c89dPQAW/An+bzEAbo8Xq81J5S89ao/dZ7U5qbKrwaza7qLa7uJQhe2E62kIZscGMr0vsIU32R9sCMNQXotBp0Gv1aDXKvXPGrQapVW/VkIIIYQQQgSShKsORqtRiAgyEBFkOOH3utwerHWuZgKZ4zj7Xb4gV32ywaznb+GZr497SKOAXqvBoNWg1zUGL0N9+NLr6oOYpslr3/H6bd1R21oNBp0Gnabp8cZj6vGjtus/S6dpfK3XaghWtJhO+KsshBBCCCE6KwlXnYhOqyEyyEDkSQQzp9tz3B4zq81JxXF6yny9ZeWVuEwWnG4PLo/X75weL9hdHuwuD9hb6ypbUcYtJD69gh4xwXSPDqJHTBA9YoLpER1EUrgZjfS8CSGEEEKIJiRciRbRazVEBRuJCjae2BsnTYLF6pBGj8eL0+PB6fbidHlwuj043PXbbg+O+n0uj3q86bHG40223R6crvptT5PXTc/r9zn+n+Xy1Ld3eXA0OW9DO4CCyjoKKutYtavU77KMOk1j4Ir2D19hZn2rfM07o2q7C4fWRITXi6JIeBVCCCFExyLhSpw2Go2CUaPFqANOMKOdbl6vlyNXTmHv7LnsLqlhT0kNe0qq2VNaw/6yGuwuD9sLq9heWHXMe6ODDfSIDq4PW0F0r3/dJdLSaafQ93q9VNldFFbWUVBho7CyjsOVdeqztY7D9fuq7C7oPR3Dn5YSH2oiPsxEfKiJhLDG1/FhJhLCzMSEGOW+PSGEEEK0KxKumsjOziY7Oxu32x3oUkSAKYpCpLuOyK6RDOoa6XfM5fZwqMLGnpIadtcHrj0l1ewpqaG4yk5ptYPS6nLW7Sv3e59Oo9Al0uI3vFDt8QomOtjQYXtqvF4vVpuLw1YbhysaQpONw/UB6nClGpxqHC3//8rh8nCgvJYD5bXNttFqFGKCjfVhy0RckxCWEGYmPtREXJgRo07bGpcphBBCCPGrJFw1kZWVRVZWFlarlbCwsECXI9opnVZD16ggukYFMTo91u9YVZ2TvaU17C2tqe/xUkPX3tIabE63GsRKayC32O99ISYdPWKCSW0yvLB7ffgy6QMXDrxeLxW1Tgoqj+ptahKaDlfWYXO2LDiFW/RNeqLMJDYNQ/UhSX/1VRS/9pbf5xVaGz5X/cyiKjtuj1fdb61j08HmPzMqyHBUr1dDEFM/Mz7MRLBRvhUKIYQQ4tTJbxRCtKIQk57+yeH0Tw732++pDwJq0KpWg1d9j9ehChtVdS42H6xg88EKv/cpCiSGmekRE0RqTHDjPV4xQSSEmk5pUg2v10tZjaNJiDm2t+lwZZ064UgLRAYZfMEpIbyx96hpb5LZ0JKg6CE5wkJyhKXZFm6Pl7Jqu1q3tc7vGppu210eymoclNU42FZgbfZ8IUadL2g1DX9Ne8TCLfoO27sohBBCiNNDwpUQp4FGo5AYbiYx3MzwtGi/Y3VON/vKanw9XLvre7v2lFRjrVOnvT9UYeO7nf6Tapj1WrrV93Sl1g8vVO/xCiIIKK2qO25vk683qLIOh7tlwSk6uKH3x0xieGMPUHyo2ReeTmcPm1ajEBtqIjbUxIBm2jT0uvmFL2tjiGzoEauqc1Fld1FVXM3O4upmP9Oo0xwTvuJDjb4QFh9mIhoFGYQohBBCdF4SroQIMJNeS3p8KOnxoX77G3qWmk6msaekhj2l1Rwoq8XmdJN72Eru4WN7ZHQZt+D624pf/WxFgehgo9rbdNTwvPhQE4nhZmJDO+Z9S4rSuCZcRkJos+2q6yfaKDwqfBVZG4NpWY0Du8vD/rJa9pc1fx+YLuNm4v7+VX3vnTrsMTFcDV8Nz5FBHff+OiGEEEL8MglXQrRTiqIQHWwkOtjI0O7+k2o43R4Oltf6wtaehhkNS2sorbbjUrQoCsSGGI+6t6lxuFtCmInYEBMGXeecwbBBsFFHz9hgesYGN9vG7nJTbLX7DZls2iNWZFUfLrS+nkb2HznuuYw6jS/IJoSbSDzqOSHMTKhJJwFMCCGE6IACHq6ys7N59tlnKSwsZMCAAbzwwgsMHTr0uG0XLVrEU089xa5du3A6naSlpfH73/+eG264wdemqKiIP/7xjyxbtoyKigpGjhzJCy+8QFpa2um6JCHanF6rqR8GGAzE+R2rtDmpmTqNmPfe7LRTv7c2o05LSqSFlMjm7wNzuT2UXD2Vgn/NUYdfVtRRUNkwg6KNgso6Sqrs2F0e9pXVsu8XesCCDFoS6nu6ksLNxw1iLbt/TQghhBCnU0DD1cKFC5k1axZz585l2LBhzJ49mwkTJpCXl0dsbOwx7SMjI3nkkUdIT0/HYDDw6aefMmPGDGJjY5kwYQJer5fJkyej1+v5+OOPCQ0N5fnnn2fs2LHk5OQQFBQUgKsU4vQKM+sJc9WABKvTSqfVkOCqIaFrBBBx3DYOl4ciax2HKmxq4KoPXmoQU19X1DqpcbjZVVzNrl+4ByzcoiehvleyoccrseG5fnhnZ++VFEIIIU63gIar559/nltvvZUZM2YAMHfuXJYsWcK8efN48MEHj2k/atQov+177rmH1157jVWrVjFhwgR27tzJDz/8wNatW+nTpw8AL730EvHx8bz99tvccsstbX5NQgjRHINO86s9YLUOlzr88Dg9X4cr1PvBqu0uKmqdVNQ6j3vPXYPoYGN94FLv+Wo69DAxXB0WKgsxCyGEEK0nYOHK4XCwceNGHnroId8+jUbD2LFjWbNmza++3+v18tVXX5GXl8c//vEPAOx2OwAmk8nvnEajkVWrVjUbrux2u++9AFZr87+sCCFEW7IYdKTGBJMa0/w9YNY6pxq+Kmy+AHZ0EHO4PJRW2ymttvNzfuVxz6PVKMSFGEkIN5OWMJILc4oY3jNahhwKIYQQJylg4aq0tBS3201cnP/9InFxcWzfvr3Z91VWVpKUlITdbker1TJnzhzGjRsHQHp6Ol26dOGhhx7i5ZdfJigoiH/961/k5+dz+PDhZs/59NNP8/jjjx97YMoU0OtP7gJb07p1MGlSoKs4OVJ7YEjtgXGaag+tf/Ru5rgXKNeaOKwPpkAXpD7rgzmsr3+tC6ZIb8Hl0VJQqQ5J3BiRwTuvb8DkcTKiOp9x1fu5sGo/Ue66Nr+eUyb/ZgJDag8MqT0wpPbAaC+1O50tbhrwCS1OVEhICJs2baK6upoVK1Ywa9YsevTowahRo9Dr9SxatIibb76ZyMhItFotY8eO5aKLLsLr9TZ7zoceeohZs2b5tq1WKykpKbBwIYQ2P4XzaTNpEixeHOgqTo7UHhhSe2C0k9oVIKr+0beZNm6Pl9JqOwX1sxtueOF1lqcO5VAFLA/tzvLQ7igKDOoSwbjMOMZlxtVPoNIOtZOv+0mR2gNDag8MqT0wpPZTZ7VCWFiLmgYsXEVHR6PVaikqKvLbX1RURHx8fLPv02g09OzZE4CBAweSm5vL008/7bsfa9CgQWzatInKykocDgcxMTEMGzaMwYMHN3tOo9GI0Wg89YsSQogOQqtRiAs1ERdq4qwuEVxatJo//+eP5B6uYnlOEctzC9l6yMqG/UfYsP8IT3++ndSYIMZlxjMuM46zUsLRyP1aQgghhJ+AhSuDwcCgQYNYsWIFkydPBsDj8bBixQpmzpzZ4vN4PB6/+6UahNWny507d7JhwwaeeOKJVqlbCCHOVIqikJkYSmZiKPeMTaOgwsaXuUUszylize4ydpfUsPub3cz9ZjfRwUbGZsQyLjOO83tGY9LLfVpCCCFEQIcFzpo1i+nTpzN48GCGDh3K7Nmzqamp8c0eOG3aNJKSknj66acB9d6owYMHk5qait1u57PPPmPBggW89NJLvnO+9957xMTE0KVLF7Zs2cI999zD5MmTGT9+fECuUQghOqrEcDPTzu3GtHO7Ya1zsjKvhOU5RazcXkxptZ131h/knfUHMeu1jEiLZlxmHBdmxBEZZAh06UIIIURABDRcTZkyhZKSEh577DEKCwsZOHAgS5cu9U1yceDAATSaxnVaampquOuuu8jPz8dsNpOens4bb7zBlClTfG0OHz7MrFmzKCoqIiEhgWnTpvGnP/3ptF+bEEKcSUJNeiYNSGTSgEQcLg9r95bxZY7aq1VQWceynCKW5RShUWBw10jffVrdomV9QSGEEJ1HwCe0mDlzZrPDAFeuXOm3/eSTT/Lkk0/+4vnuvvtu7r777tYqTwghxFEMOg0j0mIYkRbDXyb1YVuBVb1PK6eInMNW1u0rZ92+cv72WS5pscG+oDUgWe7TEkIIcWYLeLgSQgjRcSmKQt+kMPomhXHfuF7kH6lVe7Ryi1i7p5ydxdXsLK5mzsrdxIYYuTAjjvGZcZybGiX3aQkhhDjjSLgSQgjRapIjLNx4fnduPL87lTYnK/OKWZZTxDd5JRRX2Xl73QHeXncAi0HLyLQYxmXGMSY9lgi5T0sIIcQZQMKVEEKINhFm1nP5wCQuH5iE3eVm7Z5y3/DBQmsdS7cVsnRbIVqNwuCu6npa4zPj6RJlCXTpp40LRX4QCyHEGUS+pwshhGhzRp2Wkb1iGNkrhr9e3oeth6wszylkWU4R2wurWLu3nLV7y3lySS6940J892n1SwrrMPdpeb1equ0ujtQ4Kauxc6TWQVm1gyO1DsprnJTX2H3PR2qdlFXbqcq4lR1uD3qt5tc/QAghRLsn4aqJ7OxssrOzcbvdgS5FCCHOWIqi0C85jH7JYcwa35uD5bW+Hq11+8rJK6oir6iKF7/eRVyokbEZatA6NzUKo+703afldHvqg1Hj40hNk6BUe1RgqnHicHtO7EMUhYpaJzEhspC9EEKcCSRcNZGVlUVWVhZWq9W3CLEQQoi2lRJp4abh3blpeHcqah18nVfM8vr7tIqsdt5ce4A31x4gyKDlgt7192n1jiPMom/xZzT0KjUNSr5HbUNo8n9Y61wndT1mvZbIIAMRQXoig4xEWuqfgxqfIywGooINRNx+MxFBF5/U5wghhGh/JFwJIYRoN8ItBq44K5krzkrG7nKzZncZy3OK+DK3iCKrnc+2FPLZFvU+raHd1PW0egclceTngmPCUdNheSfVqwQoCkRYDEQGGYisf44IMhBV/+wLTBYDkcFqG7PhBHrX3HXQQYY9CiGE+HUSrjqCHtvg2TTQm0BX/9Cb1WdDMFz7VmPbHxdA+W7QmevbN3nWGSH9UmhYmLkyH5x1R7UzgUamRxZCBJ5Rp2VU71hG9Y7licv7suVQpW/4YF5RFWv2lLFmTxl0vRTe+qlF57QYtI29RpamIak+OB11LNSsRyvhRwghRAtJuOoIdA6osR7/mD7IfzvnI9j1ZfPneuxI4+svHoacj49to9Gr4W1WLhiD1X0r/wG7vzp+wNObYfTDYAxR2+77vj7gmSCsVK1HHwQGC+gtENENtC0fziOEEBqNwoCUcAakhHP/hN4cKKtlWU4hK3KLKc3ZSURGT19QijoqJEU2CU+ytpYQQoi2JOGqI9ibAdnPg6sOnLYmz3bwHjXMJeMyiEoDl03tlXLVNbb3ehp7rUANP8ZQ9bjb0bjf4wS7Uz3eoDQPDv7QfI0X/LHx9c/vwI+vq69TgTd+49/2vm0Qlqy+Xv4YbJivhi69GQxB/q8v+SeEJqpt96yE/PX1xy31bc2Nr+P7qc+gfm0AtAZ1XI8Q4ozSJcrCLSN6cMuIHjDpKZi9ONAlCSGEEBKuOgSnCeL7tqztoBtbft4r/9P42uOuD2F1jcFM2+Sfx3m/g8zJxw94LltjqAGI6wu9JqrHt/wEqV3BWaNuO2rVMNTAXgV2q/o4nol/b3y960tY/ULz13Pnaojro75eNRtWPgWK9tgQpjfDpBcgNkNtu/sr2PFFk9BWH+7CS+DwzxDdS+2xE0IIIYQQ4hdIuBIqTX0IMQQd/3jiWeqjJYbdrj4AJk2C537hL8pj/gTnZIGzVn046kNYw+ug6Ma2SYPh7GmNIc1ZU/9sU183DEsE9f0AXvfxw5vb2fj60EZYO/fY2noAL4+A6xdBzwvVffkb4eBaiOoJUakQ3tU/hIqT53KovaMh5VBxAEKT/XtahRBCCCHaOfmtUASWJVJ9tESfyeqjJcY8CsPvqw9ttvrQ1hDgatX7vhqknAPDZzWGtIbAtvFbiNGrQarBzi/gm380bmv0ENm9MWwNu6NxyKNo5PFA1WGo2K8GpyP1z3F94Ny71DZuO7x2GaQBs/upvYjRaRCTrvYepgyF7iMDehlCCCGEEL9EwpU4M2n1YA5XH7+m+wj1cbS363vdvN7GfTG9IWMSlO1WJ+1w1UHpDvUBMGhGY9vVL8LW9+uDV9NHqn8v25nA64WaEjU0abSQdLa632WHOedAxUH1Xr6jpY5pDFfGELV3clcOBDnVIHx4s/oA6HNFY7jyeGDRLRCZqv43iemtfm315ra/ViGEEEKIZki4aiI7O5vs7GzcbnegSxHtSdMJMfr+Rn2A+gu+9RCU7ap/7FaHCTYo/BkKflIfRwtJgFu+bOzlKtutBpSIru1/JkWPB9a8eGwvlMumHk+9EG5YpL7WGcFWoQYrRateb0RXCO8C4d2OvZfw1hXqUNIPP4Aj+6AkD0q2q+G16/mN7SoPwNYPjipMUc8d3VsNYgOvbZvrF0IIIYRohoSrJrKyssjKysJqtRIWFhbockR7p9FAeIr6SB197PFRD6qzNzYNX2W71B6e6mIIim1s++1zsPktNYBEdFOHwzX0ckWlQZdz2j501VnVkOQXmupfR/WEa15rvO5Vz4PtyFEnUNSZHZveJwdw/QfqvpDElt+fptWrX4PoNMi49NjjhmCY8JQavEp2qM91FWogO7LPP7RZD8N/R6tDCxt6uaLrn4NiZDZJIYQQQrQaCVdCtJXIHurjaLYj6jA5naHJTq+6kLPLpg43LN/d5JgCjxxuDFcb5qv3LzUdZmhqwR8DHLVQebAxNGkNMGh64/HZ/dSAcjwNU9s3GDRDDSXhXdTeuvAuEJZy1DXVaxgi2JqCouHcrMbthmGJDT1dTT+zZLv69ao6DHu/8T+PKVxdo61hAhZnHdQUy2QaQgghhDgpEq6EON3MEeqjqSvmwuVz1ADg19O1U51co+m9RD+/CwdW+78/KFYNWtFpcOnsxv2f3AOFW9Xep5pi//dE9/IPVxFdoULTZNhe/XNEN/8JQADG/vkkL76NKAoEx6qPo++fSxkGt6yo7+XKU4cYlmxXQ2Zdhf/SAIc2wKuX1E+mUd/T5evxSoeI7jI7pBBCCCGaJb8lCNFeaDQQlqQ+elzQfLv+V0N0TzV8le5UQ1PDo2K/f4/LoR/Ve78aGEMbQ1NML//z3rxcvUfqTGOwQPJg9dGU06Z+/RoWqQaoKlRngHTWwuFN6qOpS56HITerrysOqtPyR/dSQ61MpiGEEEJ0ehKuhOhoBt/kv11XWd/LtVudzrypUQ+qC0SHd1F7pEzhzd9jdCYGq1+iN0NCf/99/a6CzMuPnUyjoccrpndj2z0rYfHM+o36IZKpVbDsT+oC1aljICT+NF2MEEIIIdoDCVdCdHSmMPUeo+Pd25R+yemvp6NrbjINjwdoMi2/MQS6nKsGMNsRtdcwDFj9b/X4DR81hqu938KOLxqHF0b3atkyAUIIIYToUCRcCSFESxw9wUXDotZeL9SUqiHrifvgqtHq69iMxrZ7VqrT1zcVktAYts6dqc46KYQQQogOTcKVEEKcCkWB4Bj1UZoIFz97bJtuw9V7vEq2Q/F2qCponMFwz0o4587Gtj+8BNuXqKGrIXzFpKszJMq08UIIIUS7JuFKCCHaWuoY9dGgrrJxfa7SHRDWpfHYwbWw7zv10ZQ5Ug1Z17yuBjlQA5vOJKFLCCGEaCckXAkhxOlmCoOUIerjaCMfgLQJjVPHl2xXJ9iwlUP+ev97tT65F/I+b1wcuaGXK6Y3hCVL6BJCCCFOMwlXTWRnZ5OdnY3b7Q50KUKIziouU3001TBtvPVQ42LSoPZ62Sshf536aMoYBg/sbmxftA0MQWovmSyQLIQQQrQJCVdNZGVlkZWVhdVqJSwsLNDlCCGEqmHa+KOnjr9pqbrgdNNerpI8dV9QtH8Q++ReNYDpzOoaZ0ff0yWEEEKIUybhSgghOiqdEeL6qI+m3E6oLvbfp9WD1gAuGxzerD4ahKUAPdq8XCGEEOJMJ+FKCCHONFo9hCX575vxGbhd9Qskb/fv7YroClgDUakQQghxRpFwJYQQnYVWB9E91UfTBZIB3pwUmJqEEEKIM4jc1SyEEALwQm15oIsQQgghOjQJV0II0dlt/wwGrIL3pge6EiGEEKJDk3AlhBCdXUg8aD1QlBPoSoQQQogOTcKVEEJ0djHp4AVqS4+dZVAIIYQQLSbhSgghOjuDBexm9XWx9F4JIYQQJ0vCVRPZ2dlkZmYyZMiQQJcihBCnV12Q+ixDA4UQQoiTJuGqiaysLHJycli/fn2gSxFCiNPLVh+uircFtg4hhBCiA5NwJYQQokm4yg1sHUIIIUQHJosICyGEgNpg6H0JJA8KdCVCCCFEhyXhSgghBDjMcO1bga5CCCGE6NBkWKAQQgghhBBCtIKAh6vs7Gy6deuGyWRi2LBhrFu3rtm2ixYtYvDgwYSHhxMUFMTAgQNZsGCBX5vq6mpmzpxJcnIyZrOZzMxM5s6d29aXIYQQHZ/XC9YCKN8b6EqEEEKIDimg4WrhwoXMmjWLP//5z/z4448MGDCACRMmUFx8/EUsIyMjeeSRR1izZg0///wzM2bMYMaMGXzxxRe+NrNmzWLp0qW88cYb5Obmcu+99zJz5kwWL158ui5LCCE6ph/mwPMZsOLxQFcihBBCdEgBDVfPP/88t956KzNmzPD1MFksFubNm3fc9qNGjeKKK64gIyOD1NRU7rnnHvr378+qVat8bVavXs306dMZNWoU3bp147bbbmPAgAG/2CMmhBACiO6lPsuMgUIIIcRJCVi4cjgcbNy4kbFjxzYWo9EwduxY1qxZ86vv93q9rFixgry8PEaOHOnbf95557F48WIOHTqE1+vl66+/ZseOHYwfP77Zc9ntdqxWq99DCCE6ndgM9bl0J7jsga1FCCGE6IACNltgaWkpbrebuLg4v/1xcXFs37692fdVVlaSlJSE3W5Hq9UyZ84cxo0b5zv+wgsvcNttt5GcnIxOp0Oj0fDf//7XL4Ad7emnn+bxx48zDGbKFNDrT/ziWtu6dTBpUqCrODlSe2BI7YHR0Wu/4U7orwWdG6ZeBLbgQFfVMh396y61n35Se2BI7YEhtZ86p7PFTTvcVOwhISFs2rSJ6upqVqxYwaxZs+jRowejRo0C1HD1ww8/sHjxYrp27cq3335LVlYWiYmJfr1kTT300EPMmjXLt221WklJSYGFCyE09HRc1i+bNAk66j1jUntgSO2BcSbUPm8iHFgDj9wB/a8JdFUtcyZ83TsiqT0wpPbAkNoDo73UbrVCWFiLmgYsXEVHR6PVaikqKvLbX1RURHx8fLPv02g09OzZE4CBAweSm5vL008/zahRo7DZbDz88MN8+OGHXHLJJQD079+fTZs28dxzzzUbroxGI0ajsZWuTAghOrDYDDVcFW0LdCVCCCFEhxOwe64MBgODBg1ixYoVvn0ej4cVK1Zw7rnntvg8Ho8Hu129N8DpdOJ0OtFo/C9Lq9Xi8Xhap3AhhDiTxWaqz8U5ga1DCCGE6IACOixw1qxZTJ8+ncGDBzN06FBmz55NTU0NM2bMAGDatGkkJSXx9NNPA+q9UYMHDyY1NRW73c5nn33GggULeOmllwAIDQ3lggsu4A9/+ANms5muXbvyzTff8Prrr/P8888H7DqFEKLD6HoenDsTUoYFuhIhhBCiwwlouJoyZQolJSU89thjFBYWMnDgQJYuXeqb5OLAgQN+vVA1NTXcdddd5OfnYzabSU9P54033mDKlCm+Nu+88w4PPfQQU6dOpby8nK5du/K3v/2NO+6447RfnxBCdDhxfWDC3wJdhRBCCNEhBXxCi5kzZzJz5szjHlu5cqXf9pNPPsmTTz75i+eLj49n/vz5rVWeEEIIIYQQQrRIQBcRFkII0Q7ZjsC+VbKYsBBCCHGCJFwJIYTw993z8OolsGFeoCsRQgghOhQJV0IIIfw1zBhYJDMGCiGEECci4PdcCXG6ebwe3F43bo8bt9eNy+M67rYS5MRiKyVIH4RJa0JRlECXLsTpEddkOnavF+TfvhBCCNEiEq6ayM7OJjs7G7fbHehS2jWP10Odqw6by0adu8732uayHbO/rmcl7q3zWxRmjnfM18br8tvXdNvlcfkCU7PnbvIeL96WXehE4N3RAGgVLRa9hSB9EEG6IIL0QVj0FoL1wY37j37ogo57zKKzoNVo2+4/kBCnKro3KBqwlUN1EYQ0v7C7EEIIIRpJuGoiKyuLrKwsrFYrYWFhgS7npHi9Xhwex/EDT8M+93H2HRWUjt7fsK/OVUedu67lBQ0ANnaMNca0ilZ9aLToFB3u2mpsevDixe11U+WoospR1SqfZdaZsegsBBuCsegaA1hDYGt43RDkggyNoe7odgatoVVqEsJHb4LIVCjbCUXbJFwJIYQQLSThqp17e/vbFPQrx/bDk35hqc5dh83ZGHya7vd4PaetPpPWhElnwqwzY9KZMGnV1w3bhlU/oB99oS+0aBUtOo3OL8Q03a9RNL/Yxrfd5LVG08x7fuH9Go3Gf7+iPXbY36RJeD7+CJvLRo2zhhpnDbXOWmqcNVQ7qxu3XTW+48dr17SNy+MC8P03K6srO+X/BjqNzq+nLFgfTOywYobv/JARySOINkef8meITiguUw1XxbnQ88JAVyOEEEJ0CBKu2rnFuxaztVcl5C084ffqNDo16GjNmPXmY4JQ0/2+fU2CUdP9Fp1F3dfw/vpzaZRfmRPlX5PgTx13QVKNovH1FrUGh9vhH8ycxwazGpd67Jfa1bpqsblsALg8LirtlVTaKxs/KBmWrX4MgMyoTC5IvoCRySPJjMr89f9mQoA6qUXOx+p9V0IIIYRoEQlX7dzFPS5m8JqDmK++7rg9Q36hSNv42qgzotfoA12+OIpBayBSG0mkKfKUz+X2uKl1HT+g7cx+nG9HJrO1bCs5ZTnklOXw0uaXiDJFMTxpOBekXMC5CecSbAhuhasSZ6TeF0NQDCQPCXQlQgghRIch4aqduyHzBtjyHvztrkCXItoZrUZLiCGEEEPIMcfGbv83dz7zNqW2UlYdWsW3+d+yumA1ZXVlfLz7Yz7e/TE6jY5BsYMYmTySkckj6RbW7fRfhGi/EvqrDyGEEEK0mIQrIc5g0eZoJveczOSek3G6nfxY/CPf5n/Lt/nfss+6j7WFa1lbuJZnNzxLl5AuvqA1OG4weq30fAohhBBCnAgJV0J0EnqtnmEJwxiWMIw/DPkDB6wH+Db/W77J/4YNRRs4UHWAN3Lf4I3cN7DoLJybeC4jk0cyImkEMZaYQJcvAqEoBw5tgMSzIL5foKsRQggh2j0JV0J0Ul1Cu3B95vVcn3k9Nc4afij4gW8Pqb1apbZSVhxYwYoDKwB1UoyRySO5IPkCmRSjM1n9Amx+C0Y9JOFKCCGEaAEJV0IIgvRBXNj1Qi7seiEer4fc8lx1+ODBb/0mxZi7ea5vUoyRySM5L/E8mRTjTBaXqT7LjIFCCCFEi0i4aiI7O5vs7GzcbnegSxEiYDSKhj5RfegT1Yc7B9zpNynGmoI1/pNiKDoGxQ1iRPIILki+QCbFONPEZqjPRRKuhBBCiJaQcNVEVlYWWVlZWK1WwsLCAl2OEO1CSyfFeG7Dc75JMUYkj2Bw3GAMWkOgyxenIraP+ly+G5w20JsDW48QQgjRzkm4EkK0WHOTYnyb/61MinEmCokHcwTYjkDpDkgYEOiKhBBCiHZNwpUQ4qQ1NynGd/nfUWIr8ZsUIyMygwtSLmBk0kj6RPeRSTE6AkWB2EzY/706NFDClRBCCPGLJFwJIVrF0ZNibC/fzjf53/Bd/ndsLd1KbnkuueW5zN08l0hTJCOSRsikGB1BQ7gq3hboSoQQQoh2T8KVEKLVaRQNmVGZZEZlHndSjPK6cr9JMc6OO9u3gHE3vCiBvgDRaNCNkH4JxPcPdCVCCCFEuyfhSgjR5o6eFOOn4p/4Jv8b36QY6wrXsa5wHc9teI6kiToGfvcgA2IGMCBmAL0ieqHTyLeqgInvG+gKhBBCiA5DfmMRQpxWeq2eoQlDGZowlD8M+QMHrQf59tC3fHPwGzYUbeBQkJNDe5awZM8SAMw6M32j+/rC1oCYAUSYIgJ8FUIIIYQQx5JwJYQIqJTQFKaGTmVqxlRqnbVsuvNyNv/uSjYXb+bnkp+pclaxvnA96wvX+97TNbSrX9jqGd4TrUYbwKs4w+V9DgfXQr9rGhcWFkIIIcQxJFwJIdoNi97CecVmzhtwJwAer4e9lXvZXLKZTcWb2FyymT2Ve9hv3c9+634W714MqJNp9I3uy8CYgQyIGUD/mP6EGWWtulazYR7sXAZhyRKuhBBCiF8g4UoI0W5pFA2p4amkhqdyZdqVAFTaK/m55Gc2l2xmc8lmtpRuocZZw9rDa1l7eK3vvd3DuvvC1oCYAfQI7yHTv5+s2Ew1XBXlBLoSIYQQol2TcNVEdnY22dnZuN3uQJcimuH1ePA6HHjtdrwOBx67A6/Djtdux5CaisZgAMC+cyf2nTvxOBx47Q3t7XjsdrwOJxFTr0MfGwuAddkyrJ8uwWu343HY1fYOB+w/gDL1euIefghznz4A1G7cSNXyL1HMJjRmCxqzGY3ZhGI2ozFbMA/ojy4qCgBPTQ2e2loUs0Vto5Vha60hzBjGiOQRjEgeAYDb42ZXxS5f2Npcspn91v3srdzL3sq9fLjrQwBC9CH0j+nvC1v9YvoRYggJ5KV0HHHqv3+KcwNbhxBCCNHOSbhqIisri6ysLKxWK2FhMqTol3i9XjWM2Gx46+rQxcejKOoE2nXbt+PMz8djs+GprMT7xptquHE68NjtRN9+OxqTCYCK99+netX36vGm4aZ+u+sbC9DFxABQ9Pd/UP7qq83W1OOzzzD26A5A5WefUfbS3Gbbhowb5wtXjn37qVq27PgNN27Ea3f4Nuu2bv3FGlL++x+CR6i/9Fs//5zDj/7Jd0wxGNCYzSgWCxqTifg/PUrQeecBUPvjT1QsfEcNaSYzGovZ77Vl6FAMKSkAuK1WnIWF9cFOfSimzhvetBotvSN70zuyN9f0vgaAI3VH+LnkZzaVqEMJt5ZupcpZxfcF3/N9wfcAKCikhqcyIGYAA2PVHq5uod18/45FE7EZ6nPxNvB61cWFhRBCCHEMCVdnIK/Xq/bu2Gx46urw1Nrw1tnwOhyYBw70tav+9lsc+/bhsdXhsdXitdXhqavDW2fDU2cnafa/fL9oFv7tKapXrFDPV1eH12ZTf8mq1/unH1HMZgDK579K5ccfNxb05JN+9UVOneoLV3U5uVQtXdrstXhsNt9rRX/UP1dFQTEaUYxGtcfK6/EdMqR0wTJ0aP1xAxqDAcVg9G3rIsJ9bYPOPw9tSLB63GBQ2xuN8Ne/4nngj77ABmDq04eoW27GU2tTw2OdDW9t/dfZZkMbGdlYu8Oh/hJa/3XyOhy4HQ6orFS3nU5fW8fevVR+vLjZr0PS8//0haua1Ws4dO+9x7RRjEY0ZjNxjz5Kw58GvE4neL0o9T16nUWEKYILUi7ggpQLAHB5XOw4sqOxd6t4M/nV+eyq2MWuil18sPMDQO0V6x/d3xe2+kX3w6K3BPJS2ofoXqBooa4SrAUQlhToioQQQoh2ScJVB3CkohLH3/+h/iJvq2v8pd5WBzotXefP97U9ePsdVH/3HXg8x55Irydjy8+N5134LtUrVjT7uV6n0/dLubuyAmdBwXHbKXo9nro6NPXhytC9O+aBA9Xel80/o4wYgcbYJNw0+UU/ZOIEDKk91F4do7G+jcG3ravvXQKIuu02Im+8sTFM6fXN9jKEX3kF4Vde0ey1NWXu08c37M9PUBBMGO+3yzJ4MJbBg1t03sjrriPi2mvxNgTS2lpf2PXYajGmpfnamvr2JfYP9/sHXZsa4Lw2G7qEhMYTKwrayEjfsQZeux233e5XQ/WqVRT8/n4s55xD0PDzCR4+HEOXLi2q/0yi0+h8ixpfm34tAKW2Ur+wta1sG5X2Sr479B3fHfoOUO/56hXRy29mwpSQlM7Xu6UzQnQalGxXhwZKuBJCCCGOS8JVB2CtqqK2maFox/RIKIpfsFL0+vrhZSY0ZjNet9s3fMwyaJAaaHz3D5lQTKbGYWlNTht9x51EXn+9erz+fIrZgsZkRNH5/zOKvuN2ou+4Xd2YNAlm/6vZawsaOpSgoUNb9HXQhnS8+2MURam/H8sMEc2vzWTq3QtT714tOmfohPGE1oc+r8fTODyzPozpYmPhPy8DULt+A57aWqq/+orqr76iCNB36ULw8PMJGj6coHPP9YXizibaHM2FXS7kwi4XAuB0O8k7kuc3M+HhmsNsL9/O9vLtLMxbCECkKdJ379bAmIH0ie6DWdcJvoaxGWq4KsmFtLGBrkYIIYRolyRcdQChIcGYp16HYjI3BqAmYaiphCefwOvxoLFY1OCk1zd73qibZrS4hqZD40T7oWg0jeHtOGLv/z2hl1xMzarvqVm1itqffsJ54ABH3jrAkbfe9rtPzV1ZiSYkBEXTOWfU02v19I3uS9/ovkzNmApAUU2R30QZOWU5lNeVs/LgSlYeXAmATtHRK1Lt3eqfUk1GxW66hXY789bdGvMnGPs4hKUEuhIhhBCi3ZJw1QFEhIfD/fe3qK0uOrptixEdiqLR+IY9Rt9+G+7qGmrXraVm1Srsu/dg6N7N1/bwnx6jdsMGgs4/X+3ZOv/8Tv/vKS4ojvFB4xnfTe0pdLgd5JTl+A0nLLYVk1OWQ05ZDm8PBT6ejElrIi0ijfTIdN8jLSKtY/dwRaUGugIhhBCi3ZNwJUQnog0OImTMGELGjPHb7/V6sW3Zgru8HOsnn2D95BMAjBkZatAaMaLFwzfPZAatgYGxAxkYOxBQv26FNYXqUMKSTWz77n3y4jXYXDa2lG5hS+kW33s1iobuod3pHdmbjMgM0qPSSY9IJ9wUHpiLEUIIIUSrk3AlhEBRFHp+sZTaTZt8QwjrcnKw5+Ziz82ldt16gha+42vvLCxEFxfX+SZ2OIqiKCQEJ5AQnMDE7hPhydV4Pv6IA9YDvnu1tpdvJ7c8l/K6cnZX7mZ35W4+2/uZ7xzxQfGkR6aTEZnhC14JQQnt82v7/b/h0AYY+xeI7BHoaoQQQoh2R8KVEAJQJ0fxTTAy6z5cpaXUrF5NzfffY2oym6LbamXXhWPRJyT4ZiC0nHMO2uDgAFbffmgUDd3CutEtrJsauFB7uEpsJX6Ba3v5dg5WHaSwppDCmkLfPVwAoYZQvyGF6ZHpdA/rjk4T4G/ZOR/BoY3Q50oJV0IIIcRxSLhqIjs7m+zsbNxud6BLESLgdNHRhE2aRNikSX7767ZvB40GZ34+Fe8spOKdhaDTYR44gODhwwmZMAFjd5kApSlFUYi1xBJriWVk8kjf/ipHFXnleeQdySO3LJft5dvZXbEbq8PKusJ1rCtc52tr1BpJC0/zG1aYFp52etfhis1Uw1VxDvSZfPo+VwghhOggJFw1kZWVRVZWFlarlbCwsF9/gxCdUNDQofT+YQ0169b5hhA69u/HtmEjtg0b0YZH+MKV22rFU1eHvsl6ZaJRiCGEwfGDGRzfuHaaw+1gd8Vu33DCvPI8tpdvp9ZVy9ayrWwt2+prq1E0dA3tesywwghT89P+n5LYTPW5aFvbnF8IIYTo4CRcCSFOmCYoiJDRowkZPRoAR34+NatWUb1qFUHDh/vaVX7yCUVPPImxVy+Chg8nePj5mAcPVheBFsdl0BrIiMogIyqDK1AXwvZ4PRysOuh3D9f2su2U1ZWxt3Iveyv38vnez33niLPE+YYTNoSupOCkU7+PK64+XBXnntp5hBBCiDOUhCshxCkzJCdj+O1vifjtb/32Ow8cBEXBvmMH9h07KJ83D8VkwjJ0CMHDhxN25ZVyr1YLNPRQdQ3tyoRuE3z7S22lvuGEDY8DVQcoqi2iqLaIb/K/8bUNMYSQHplO74jeZERl+O7j0muaXwvvGLH1996V7wFHLRhO45BEIYQQogOQcCWEaDNxDz1I1B23U/P9ampWraLm++9xlZRQ8+131KxeQ9iVv/G1te/ejS4mhjNs6d02FW2OZkTyCEYkj/Dtq3ZUs+PIDrV3q3w7eeV57KzYSZWjivWF61lfuN7X1qAx0DOiJxmRGQzoWsWouiO/PKQwOAYs0VBbCiXbIenstrw8IYQQosORcCWEaFO6iAjCLr2EsEsvwev1Yt+xg5pVq3CVlKINDvK1K3jwIepycjDr9ZiffRbLoMFYzj4LbXh44IrvgIINwZwddzZnxzUGH6fbye7K3eSW5fomz8g7kkeNs8a3APIHg0H77miGxA9hXNdxXNjlQqLMUcd+QFwmHPgBrIckXAkhhBBHaRfhKjs7m2effZbCwkIGDBjACy+8wNBmFixdtGgRTz31FLt27cLpdJKWlsbvf/97brjhBl+b5u4reOaZZ/jDH/7QJtcghPh1iqJg6t0bU+/efvs9Dgee2lpwu7G53dj+N4/y/80DwJjWk5Bx44m5+3eBKPmMoNfqffdgNfB4PRyqOkRueS655bl8/+3r5EY4+OHwD/xw+Af+tvZvDI4bzLiu4xjbdSzR5mj1jVfNB1M4aNvFjw8hhBCiXdEEuoCFCxcya9Ys/vznP/Pjjz8yYMAAJkyYQHFx8XHbR0ZG8sgjj7BmzRp+/vlnZsyYwYwZM/jiiy98bQ4fPuz3mDdvHoqi8Jvf/Oa45xRCBJbGYCB1yaf0XPElCXFxhF99FYb6GQftO3fh2L/f19br9VLw6KMceftt6nbswOvxBKrsDk2jaEgJTWF8t/Hcc/Y9vPtVEp9d8Rn3nn0vfaL64PF6WFe4jr+t/Rtj3h3DjUtv5M3cNylWPBKshBBCiGYE/Cfk888/z6233sqMGTMAmDt3LkuWLGHevHk8+OCDx7QfNWqU3/Y999zDa6+9xqpVq5gwQb3ROz4+3q/Nxx9/zOjRo+nRQxa9FKI90yclER4WSvgTTwDgKi+nduNGdFGNw9Mce/ZQ+f4HVL7/AQCasDAsZ52FZfAgzIMGYe7TB0VmIzwpKaEp3NzvZm7udzOHqg+xfN9ylu9fzs+lP7OxaCMbizbyj3X/YGDsQMZ3Hc/YrmOJD4r/9RMLIYQQnURAw5XD4WDjxo089NBDvn0ajYaxY8eyZs2aX32/1+vlq6++Ii8vj3/84x/HbVNUVMSSJUt47bXXWq1uIcTpoYuMJHTcOL99mqAgomfOpHbjBmybNuOprKR65UqqV64EIOq224iddR+gDjf0OhwyI+FJSApO4sa+N3Jj3xs5XH2Y5fvVoLWpZBM/Ff/ET8U/8Y/1/6B/TH/Gdx3PuK7jSAxODHTZQgghREAFNFyVlpbidruJi4vz2x8XF8f27dubfV9lZSVJSUnY7Xa0Wi1z5sxh3FG/gDV47bXXCAkJ4corr2z2fHa7Hbvd7tu2Wq0neCVCiNNFHx9PzMwsALxOJ3Xbt1O7YaMatjb+iGVQ4yQLNatXk39XFsb03ljOHoRl8CAsgwahi4kJVPkdUkJwAtP6TGNan2kU1hSy4vVxLNPU8ZPJzM8lP/Nzyc88t+E5+kb1ZXw3NWglhyQHumwhhBDitFO8Xq83UB9eUFBAUlISq1ev5txzz/Xtf+CBB/jmm29Yu3btcd/n8XjYs2cP1dXVrFixgieeeIKPPvromCGDAOnp6YwbN44XXnih2Tr+8pe/8Pjjjx+zv3LiREL1J7AGTFtZtw6ameCj3ZPaA6OT1t7w7axhUpvS8nJKSsuOaafX67GYTURFRmJszSGEneXr3mMrhJdRXJTKCmMoy5Jr2Bhdh7fJXEKZRwyMyw9i/KEgutS08ffRzvJ1b2+k9sCQ2gNDag+MdlK71ekkbOlSKisrCQ0N/cW2AQ1XDocDi8XC+++/z+TJk337p0+fTkVFBR9//HGLznPLLbdw8OBBv0ktAL777jtGjhzJpk2bGDBgQLPvP17PVUpKSou+gKfFpEmweHGgqzg5UntgSO0+zqIibBs3UrvxR2o3bsSelwf13/Z6fPoJxp49Aaj+7jvsu3djGTQYU0Y6iu4kOvY7y9d9xV/hu3/CoBvhsv8D1AWNvzrwFcv2LWN90Xo83saJRtIj0xnXdRzjuo6je1j3wNbe3kjtgSG1B4bUHhhS+ymzWq2EhYW1KBsEdFigwWBg0KBBrFixwheuPB4PK1asYObMmS0+j8fj8QtHDf73v/8xaNCgXwxWAEajEaPReEK1CyE6Bn1cHPqLLyb04osBcFut2DZtwrb5Zwypqb52lR9+hPWzzwDQWCyYBw7EPOhsLIMGYx7QH43ZHJD626XYTPW5KMe3K9oczTW9r+Ga3tdQXlfuC1rrCtexvXw728u388JPL5AWkca4ruOY0HUCPcJlkiEhhBBnloDPFjhr1iymT5/O4MGDGTp0KLNnz6ampsY3e+C0adNISkri6aefBuDpp59m8ODBpKamYrfb+eyzz1iwYAEvvfSS33mtVivvvfce//znP0/7NQkh2i9taCjBI0cSPHKk337L0KF4amqo/eknPFYrNatXU7N6NQCK0UivtT+gMZkA8DocnXtGwoZwVZyr9gIetbZgpCmSq3pdxVW9rqKiroKvDn7Fsv3LWFuwlp1HdrLzyE7mbJpDalgq47qNY3zX8fQM79nsGoVCCCFERxHwcDVlyhRKSkp47LHHKCwsZODAgSxdutQ3ycWBAwfQaBqX46qpqeGuu+4iPz8fs9lMeno6b7zxBlOmTPE77zvvvIPX6+Xaa689rdcjhOiYIn47hYjfTsHr8WDfuZPaDeoEGbUbN6KLjvYFK4D906bjrqrCMmgQlkFnYx40GH1SIp0mGkT1BI0eHFVQeRDCuzTbNNwUzpVpV3Jl2pVU2iv5+uDXLN+/nNUFq9lduZvdm3czd/NcuoV2Y3y38YzvOp5eEb0kaAkhhOiQAh6uAGbOnNnsMMCV9dMrN3jyySd58sknf/Wct912G7fddltrlCeE6EQUjQZT796YeveGqVPxer14qqt9xz12O3XbtuF1OnHs3k3Fu+8CoIuPx1xdTdC77xJxzTWBKv/00BkgNh2cdVBb9ovhqqkwYxiTe05mcs/JWB1Wvjn4Dcv2L+P7Q9+zz7qP//z8H/7z83/oEtLFN+tgRmSGBC0hhBAdRquFq7q6Ol588UXuv//+1jqlEEIEnKIoaENCfNsao5Ge336D7ccf6yfJ2EDdthxchYVUAaxe4wtXXo+H/N/djbFHd0wZGRjTMzB07YKi1QbmYlrTbd+A5uSvI9QQymWpl3FZ6mVUO6r5Jv8blu1bxqpDqzhQdYBXtrzCK1teITk42Td0sE9UHwlaQggh2rUTClclJSWsXbsWg8HAhRdeiFarxel0MmfOHJ5++mlcLpeEKyHEGU8XEUHIhRcScuGFAHhqa7H9/DN199+P4bJLfe2chw5RvWIF1Ssa36uYzZh69cKYkU7ImDHH3PvVYZxCsDpasCGYS3pcwiU9LqHGWcN3+d+xbP8yvsv/jvzqfOZvnc/8rfNJDEpUZx3sNo7+0f0laAkhhGh3WhyuVq1axaWXXorVakVRFAYPHsz8+fOZPHkyOp2Ov/zlL0yfPr0taxVCiHZJY7EQdM45BEVGQn3gAtAEBxP/l79Qtz0Xe+526nbswGuzYdu8GdvmzWhDw3zhylVeTtHfnsKUmYExPR1TRga6yMhAXVLLHWdCi1MRpA9iYveJTOw+kVpnLasOrWLZ/mV8m/8tBTUFvJbzGq/lvEZ8UDxju4xlQrcJ9MeL5tdPLYQQQrS5FoerRx99lIsvvpiHH36Y1157jX/+859cccUVPPXUU1x11VVtWaMQQnRIuogIIn7bONmO1+3GsX8/dbm52LdvJ3jEcN+xupxcrEuWYF2ypPH9sbEYM9IxpWcQOmE8pszM01r/L7JVwJtXQ/lu+H0eaFt/oWCL3qJOctFtPDaXje8Pfc+y/cv45uA3FNYU8kbuG7yR+waGyQrh715IqDGUUEMoYcYwwoxhja8N9dvGUMIM9c/GMIL1wWgUiWVCCCFaT4vD1ZYtW5gzZw6ZmZn89a9/5fnnn+eZZ57h8ssvb8v6Tqvs7Gyys7Nxu92BLkUIcQZStFqMPXpg7NEDLrnE75ihSwox992n9nLl5OI4cABXcTGu4mJqvvkWQ5cUX7iqy8ujYuG7vuBl7JWG5nSv1WcKg+IccFRD2W51gos2ZNaZGdt1LGO7jsXutvP9oe9Zvn85Kw+upJpqim3FFNuKT+icGkVDiCHEL3yFGkJ9234BrT6kNQQ0fRuESSGEEB1fi8PVkSNHiI6OBsBsNmOxWOjbt2+bFRYIWVlZZGVl+VZhFkKI08XQpQvRtzfOcOqursG+Y4dvSKF54EDfsdqNGzny1luNb9ZqMfbojjEjQ+3lmjgBfWJi2xasKBCbAfnroXhbm4erpoxaI2O6jGFMlzE43U6Kp06iMvufWB1WKu2VVNorsTqsWO1WKh2Vvn2VjkqsditWhxWby4bH6/EdU2cjaTmzznxM4PILaE17zJoENIvOIveKCSHEGeyEJrTIycmhsLAQAK/XS15eHjU1NX5t+vfv33rVCSFEJ6UNDsJy9llYzj7rmGPmzEwib7oJ+/Zc6nJycVdUYN+5C/vOXVgXf4K5fz9fuKr54Qdq163z3celT05uvV/uYzPVcFWUA31/0zrnPEF6rZ6kWj1JUSc2ZNLutvuC1tHhqyGQ+R2v31flqMKLF5vLhs1lo7Cm8IQ+V6fo/AJYj7NLuKxwPYPjBkvoEkKIM8AJhasLL7wQr9fr2770UnVWLEVR8Hq9KIoiQ+qEEKKNmQcO9PVkeb1eXEVFvvu46nK3Y+zd29e2+uuvKX/tdd+2JjgYY3pvTBmZmNLTCRk/zm+q+RMS10d9Ls492UsJGKPWSIwlhhhLzAm9z+P1UOWo8oWwo3vHmoaxpuGswl6B0+PE5XVRXldOeV05AJu7w4df3ERKSAqXp17O5T0vJz4ovi0uWQghxGnQ4nC1d+/etqxDCCHESVAUBX18PPr4eEJGjz7muGXIENzV1dhzt2PfuRNPdTW2DRuxbdgIQNCI4b5wVZe3A43JiKFr15Z9eGyG+ly8rVWupSPQKBrfEL8UUlr8Pq/XS527zi+MVdgr+H7+Y3ye5uFg1UFe3PQi2ZuyOTfxXCb3nMyYLmMwak/zvXRCCCFOSYvDVdeW/rAVQgjRboSMHUvI2LEAeJ1O7Hv2qsMJc7fjyD+ILqax56bkX/+ieuVKjPU9WqETJmBMTW3+5LH1PVdH9oG9GozBbXglHZuiKJh1Zsw6M3FBcb794358gQceeYfl+5fz0a6P2FC0gdUFq1ldsJoQQwgXd7+YK9KuIDMyU4YNCiFEB3BCwwIB1q9fz9tvv82OHTsA6NWrF9dddx2DBw9u9eKEEEK0HkWvx9S7F6bevQg7aqZX35BvrRb79u3Yt2+n9N8vYEhNJXTCeEImTMDUZLghAEFRkHgWBMVAXaWEq5Nk0Vu4vKc6JPCg9SAf7f6IxbsXU1hTyMK8hSzMW0haRBpX9LyCS3pcQqSpA6x/JoQQndQJLfDxwAMPMGzYMF555RXy8/PJz8/nv//9L8OGDeOPf/xjW9UohBCijSmKQsrcl0hb9R0Jf/sbwRdcAHo9jt27KZ3zEoVPPOHX3hfGblsJU9+DsKTTX/QZKCU0hd+d9TuWXrmUl8e+zEXdLsKgMbDzyE6eWf8MF753Ifd9fR/fHPwGl8cV6HKFEEIcpcU9V6+99hovvPAC//73v7n99tvR69U1PpxOJy+99BJ//OMf6dOnD9OmTWuzYoUQQrQtXUQE4b+5kvDfXIm7qorqlSuxfvEFwcNH+Nq4ysvZ99trCRkzhpAJ4zEPGICikcV4W5NWo+W8pPM4L+k8Ku2VfL73cz7c9SE5ZTl8eeBLvjzwJdHmaC5LvYzJPSfTI6xHoEsWQgjBCYSr7OxsnnrqKWbOnOm3X6/Xc/fdd+NyuXjxxRclXAkhxBlCGxJC2GWXEXbZZX77q1aswHngAOWvvkr5q6+ii4sjZMxIQi66FMugQShabYAqPjOFGcP4bfpv+W36b8krz+OjXR+xZM8SSm2lzN86n/lb5zMgZgCTe05mYreJBBtkeKYQQgRKi//UuG3bNi4/aox+U5MnT2bbts4zY5QQQnRWYZdeStIL/yb0ssvQWMy4ioo48vZ7HJg2nZ0jL6B248ZAl3jG6h3Zmz8O/SMrrl7Bv0b9iwuSL0CraNlcspnH1zzO6HdH8/B3D7O+cD0eryfQ5QohRKfT4p4rrVaLw+Fo9rjT6UTbwf9amZ2dTXZ2tqzVJYQQv0BjNhM6bhyh48bhqT5Czax0qg6aqCqLw33kCIbu3X1ta1avxuNwEHTeeWgMhgBWfWbRa/WM7TqWsV3HUlJbwid7PuGjXR+xt3Ivn+z5hE/2fEJScBKTe07m8tTLSQhOCHTJQgjRKbS45+rss8/mzTffbPb4ggULOPvss1ulqEDJysoiJyeH9evXB7oUIYToEDTBEYT0SSBxWAW93niabu+8jS6ycTa70jkvkX/Hnew873wOPfAAVV9+iaeuLoAVn3liLDHc1PcmPr78YxZctIDfpP2GIH0Qh6oPkb0pmwkfTOC2Zbfx2Z7PqHPJ114IIdpSi3uu7r//fiZPnozdbuf3v/89cXHqOh2FhYX885//ZPbs2Xz44YdtVqgQQoh2Kq4PHNmLUr4D8zkX+nZ7vV6MGRk49u/HVVKCdfEnWBd/gmKxEHzBSEIvvpjQceMCWPiZRVEUBsYOZGDsQB4Y8gArDqzgw10fsr5wPWsOr2HN4TWE6EO4uMfFTO45mT5RfWTtLCGEaGUtDleXXnop//rXv7j//vv55z//SVhYGACVlZXodDqee+45Lr300jYrVAghRDsVmwHbP4Ui//tuFUUh/pGHiXvoQWybNlP1xRdYly3DdfgwVZ8vxVtr8wtXntpaNBbL6a7+jGTRW7gs9TIuS72Mg1UH+XjXxyzevZjDNYd9a2f1DO/J5J6TubTHpUSZowJdshBCnBFOaBHh3/3ud1xxxRW899577Ny5E1AXEf7Nb35DSkpKmxQohBCinYvNVJ+Lc497WNFosJx9FpazzyL2wT9St3UrVV98gXngQF8bR/4h9lx8MUHnnUfI+PGEjBmNNjy87WvvBFJCUph51kzuGngXaw+v5cNdH7Ji/wp2VeziuQ3PMXvjbEYmj+SKtCsYnjQcneaEfjUQQgjRxAl/B01OTua+++5ri1qEEEJ0RHF91OfiXPB44BfWvFIUBXO/fpj79fPbX7NmNV6Hg+qVK6leuZLDOh1Bw4apQWvsheiipGflVGkUDecmnsu5iedSaa9k6d6lfLTrI7aWbeWrg1/x1cGviDJF+dbOSg1PDXTJQgjR4bR4Qou77rqL6upq3/bbb79NTU2Nb7uiooKLL764dasTQgjR/kWmQuoYOHsauGwndYqIq6+mx6efEP27mRh79waXi5rvv6fwz39m54iR1KxZ08pFd25hxjCmpE/h7UvfZtGkRUzLnEakKZKyujJe3fYqkz+ezNQlU3lvx3tUOaoCXa4QQnQYLQ5XL7/8MrW1tb7t22+/naKiIt+23W7niy++aN3qhBBCtH9aHdzwIVz0dzAEnfRpjD17EpOVRY+PPyJ16efEzJqFqU8fFL0eU7/+vnaVH39M2auv4iwoaI3qO720iDT+MOQPfHnVl8wePZtRyaPQKlp+Lv2Zv675K2PeHcND3z3E2sNrZe0sIYT4FS0eFuj1en9xWwghhGgthm7diL7tVqJvuxXXkSNogxtDW9n8V7Fv307x3/+BqV8/gkpLMXzwAfqkJAwpKeiTkgJYecel1+q5sMuFXNjlQkptpXyyW107a0/lHj7d8ymf7vmUpOAkLk+9nMt7Xk5ioAsWQoh2SO5aFUII0TrqKqG6BKJ7tuppdRERvtdej4fw3/yGqmXLqN2wgbotW6gDeORRAIzp6fT4qHFZkOJ/zUYx6NXglZyMPikJXWwsSgdf9L6tRZujmdF3Bjf2uZEtpVv4cNeHLN27lEPVh5izeQ4vbX6J8843cdPhdQyJHyJTugshRD0JV01kZ2eTnZ2N2+0OdClCCNGx7P4aFkyGmAzI+qHNPkbRaIi84Xoib7geV2kpVV+uoO5fz+Ps2w/noUMYunfztfV6vZS//jpe21H3gen16BMSCDr3XBIe/4tvd11ODtqoaHQx0Si/MClHZ6IoCv1j+tM/pj8PDHmAL/d/yce7PmZt4Vq+j7fx/bKb6R/dn5v63cTolNFoFPm6CSE6txMKV4899hiW+jVIHA4Hf/vb33zrXTW9H6ujysrKIisrC6vV6rsuIYQQLRCdpj6X7QSXA3SGNv9IXXQ0Eb+dAm+9Cf975dgGLhfRt9+GIz8f56FDOA8VqPdpOZ04DxzAlZbma+r1etl3/Q14a2tRDAb0iYnok5LQ1/d2mTIzCR5+fptfU3tm1pkb186yHuS156bwYZqdn0t/5t6v76VHWA9u6nsTF/e4GL1GH+hyhRAiIFocrkaOHEleXp5v+7zzzmPPnj3HtBFCCNEJhSaBMQzslWrAapiePYAUvZ7oO+7w2+d1u3EVF+PMz0cxmXz7PTU16MLDcdbV4XU4cOzbh2PfPt/x4DFjfOHK6/Wy7+pr0EZFYkhKUkNYUnJ9GEtCGx5+xg+TSwlN4dFN0dzx0DzezH2Td7a/w57KPTz6/aO8uOlFbuxzI1f0vAKLXhaFFkJ0Li0OVytXrmzDMoQQQnRoigKxGXDwByjKaRfh6ngUrRZ9QgL6hAS//drgYHp+tQKv04mzqAhn/qH63i6118vUt3FdLndFBXVbtwJQw7FCJkwg+f9mA2oQO/LGm+gT4n29YNqQkLa6vNMu2hzNPWffw019b+LdvHdZkLOAwppC/r7u78zdPJfrMq7juvTrCDPKaBAhROfQ4nDVo0cP1q9fT5Qs5CiEEOJ44jLVcFWcE+hKTpqi12NITsaQnNxsG43FQpd5/6sfblighrD6oYeukhJ0MTG+tu6KCor+9jf/94eFoU9KxJCUhOVIBZFtdjWnT4ghhJv73cz1mdfz8a6Pmb91PvnV+czZNIf5W+dzda+rmZY5jbiguECXKoQQbarF4Wrfvn0y0YMQQojmxWaqzx04XLWExmgk6LzzON6KXp76YYUNvA4nIRMn1veCHcJdXo6nshJ7ZSX2nFy0Te7v9Xq9uCsq/GZH7GiMWiPX9L6GK9OuZPn+5fxvy//IO5LH6zmv89b2t5iUOokZfWbQLaxboEsVQog2IbMFCiGEaB0N4arozA5Xv0RjMkGTe7n0cbEkz/6Xb9tTU4OzoADH/r049+3B8l7jtPG2n35i/7TpBI8YQdikywgePVo9Xwek0+i4qPtFTOw2kVWHVvHKllf4sfhHFu1cxIc7P2Rs17Hc3O9m+kS1z+GjQghxsk4oXH3xxRe/OovepEmTTqkgIYQQHVRcJgy6EeL6gter3ocl/GiCgjCmpWF074RVD0J6tO9Y7bp14HJR/fXXVH/9NZqgIEImTCBs0mVYhgzpkGtzKYrCiOQRjEgewU/FP/G/Lf/jm/xvWL5/Ocv3L+echHO4pd8tDI0fesZPAiKE6BxOKFxNnz79F48riiJDB4UQorMyR8Bl/xfoKjqGncsALzgbpyyPvuMOQsaOpfKTT7F+8gnOggIqFy2ictEidHFxdH3zTQzJSYGr+RSdFXsWL174IjuO7GD+1vl8vvdzfjj8Az8c/oF+0f24ue/NjO4ia2UJITq2E/oOVlhYiMfjafYhwUoIIYT4FV4v7Fyuvrb6T2dh7NmT2PvuJfXL5XR9YwHh11yDJjQUtBr0iY0zHNasXo2zsPB0Vt1qekX04ukRT/PpFZ/y296/xag1sqV0C/euvJfJH0/mo10f4XQ7A12mEEKclBaHq87QXZ+dnU1mZiZDhgwJdClCCNExOeugYBPkbwx0Je1XcQ5Y80Fngqrw4zZRNBosgweT8NfHSVv1HV3+8x8Ujfoj2+t0cuj397Nr9Bj23ziDig8W4a6uPo0X0DqSQ5J55JxH+OI3X3Brv1sJ0Yewt3Ivf/r+T1y06CIW5Cyg1lkb6DKFEOKEtDhceb3etqyjXcjKyiInJ4f169cHuhQhhOiYti2C/1wAX/450JW0XzuXqc/dR4L31++j0hgMGHv29G27SksxpPYAr5faH37g8COPsPP84eTfdx9VX33tN1thRxBljuLus+9m2VXLmDVoFtHmaIpqi3hm/TOM/2A8L216iYq6ikCXKYQQLdLicDV9+nTMZnNb1iKEEKKji81Qn4u2qcPfxLEahgSmjT+pt+sTEuj2xhukfvklMffei6FHD7x2O1WfLyX/rrsomTOnFYs9fYINwczoO4Olv1nKY+c+RkpICpX2SuZsnsP4D8bzzPpnKKzpmEMhhRCdR4vD1UUXXYTRaPRt5+fn4/F4fNu1tbU888wzrVudEEKIjiUmHVDAVg7VRYGupv2xHYEDP6iv08ad0qkMyUlE33E7PZZ8SrcP3idy+jS00dGEXnSRr03thg2UvPAijn37TumzTiej1sjVva5m8eTFPDvyWdIj07G5bCzIWcBFiy7ise8fY2/l3kCXKYQQx9XicHXttddSUVHh287MzGRfk2/WVVVVPPTQQ61ZmxBCiI5Gb4bIHurrM3wx4ZOiNcDlL8KwOyGiW6ucUlEUzH36EPfQQ6R9sxJT796+Y0cWvktpdja7J17Evim/pfzNN3EdOdIqn9vWdBodE7tP5N1L3+WlsS8xOG4wLo+LD3d9yOUfXc6slbPYVrot0GUKIYSfk77nqjPcgyWEEOIkxMliws0yBMHA6+Civ7fJ6Y9eCyvkwgsJGjECNBpsmzdT9MST7BwxkoN33oX188/xNhmB0l4pisLwpOHMnzifBRctYFTKKLx4Wb5/Ob9d8ltuWXYLPxz+QX4vEUK0Cye0zpUQQgjxq2L7QO4nUJwb6Eo6vdCJEwidOAFXSQnWzz+ncvEn1G3dSvXXX+M4eICQiRN9bb1eb7ufGXhg7EBeGPMCu47sYt7WeXy29zPWHl7L2sNr6RvVl5v73cyYLmNkrSwhRMAE/LtPdnY23bp1w2QyMWzYMNatW9ds20WLFjF48GDCw8MJCgpi4MCBLFiw4Jh2ubm5TJo0ibCwMIKCghgyZAgHDhxoy8sQQgjRoGFSi2IZsuWneDusfhFKd532j9bFxBA5bRrd33+PHp8tIerOO4icNs0Xpjw2G3suvYyiZ5+lLm/Haa/vRPWM6MlTI57isys/49r0azFqjWwt28p9K+/j8o8u58OdH8paWUKIgDihnqsvvviCsLAwADweDytWrGDr1q0AfvdjtdTChQuZNWsWc+fOZdiwYcyePZsJEyaQl5dHbGzsMe0jIyN55JFHSE9Px2Aw8OmnnzJjxgxiY2OZMGECALt372b48OHcfPPNPP7444SGhrJt2zZMJtMJ1yeEEOIkpAyFcX+F+P6BrqR92fYhfPN3OLgWphz7h8HTxdijB7H33OO3r/rrr3Hs3k357t2U/28ext69CZt0GaGXXII+Pj5Alf66xOBEHh72MLf3v523tr/F29vfZp91H4+tfowXN73I9MzpXNXrKix6S6BLFUJ0EicUrqZPn+63ffvtt/ttn+hwgueff55bb72VGTNmADB37lyWLFnCvHnzePDBB49pP2rUKL/te+65h9dee41Vq1b5wtUjjzzCxRdf7DdzYWpq6gnVJYQQ4hSEJsL59/x6u86mYX2rk5yCvS0Fjx1L8osvUPnxYqpXrsSel0fxs3kUP/dPLMOGEffHBzBlZAS6zGZFmaP43Vm/Y0afGby/431ez3md4tpint3wLP/Z8h+uS7+O69KvI9wUHuhShRBnuBYPC/R4PL/6cLvdLf5gh8PBxo0bGTt2bGMxGg1jx45lzZo1v/p+r9fLihUryMvLY+TIkb4alyxZQq9evZgwYQKxsbEMGzaMjz766BfPZbfbsVqtfg8hhBCi1VQXQ8GP6utTnIK9LWgMBkLGjiX5hX+Ttuo74v/6OObBg3wLFWuCg31tXSUl7Xah4mBDMDf2vZGlv1nKn8/9M11CulBpr+SlzS8x/oPx/GPdP2StLCFEm1K8AZpep6CggKSkJFavXs25557r2//AAw/wzTffsHbt2uO+r7KykqSkJOx2O1qtljlz5nDTTTcBUFhYSEJCAhaLhSeffJLRo0ezdOlSHn74Yb7++msuuOCC457zL3/5C48//vixnzVxIqF6fStc7Slatw6GDg10FSdHag8MqT0wpPZGejsEVYLLANXhrXfe4+kIX/fIQuiWB7XBsH1Q4/52XrvD6aS2tpbw+lsCAA4eKsBmsxFWW0tkRjr69vBzshluvHyZVMv/eleQG6EGQp0HRm+zc44zkXOKzaTU6FBo3xN5+Gnn/2Z+kdQeGFL7KbM6nYQtXUplZSWhoaG/2LbFwwK//fbbFrVr6EVqKyEhIWzatInq6mpWrFjBrFmz6NGjB6NGjfItanz55Zdz3333ATBw4EBWr17N3Llzmw1XDz30ELNmzfJtW61WUlJSYOFC+JUv4GkxaRIsXhzoKk6O1B4YUntgSO2Nvv83LP8TZE6Ga15rvfMeT0f4ur93I2zLg4l3wjOPNu5v57Ub6h8NvA4HdRMn4q6podxkojz/EOGTLyfq1lsxdOkSqDKbpQUmAOO9XtYUrOGVra+wvnA9y/sZWU4ZAPFB8QyNH8qwhGEMjR9KfFD7vccMaPf/Zn6R1B4YUvups1qhyR+ZfkmLw9WoUaN891Q119mlKEqLhwZGR0ej1WopKiry219UVET8L9w8q9Fo6NmzJ6AGp9zcXJ5++mlGjRpFdHQ0Op2OzMxMv/dkZGSwatWqZs9pNBoxGo0tqlsIIUQLNKx1JdOxg9sJu75SX6dNCGwtp0gxGOi5bBk1339P2b33UWuzUfHe+1R8sIjQSy4h+o7bMbbD+5wVReG8pPM4L+k8tpVt49t/3MG6MT3ZXLKZwppCFu9ezOLd6i9w3UK7MTR+KEMThjIkfgiRpsgAVy+E6EhaHK4iIiIICQnhxhtv5IYbbiA6OvqUPthgMDBo0CBWrFjB5MmTgcYZCGfOnNni83g8Hux2u++cQ4YMIS8vz6/Njh076Nq16ynVK4QQ4gTE1oersl3gsoOuE/8Bq3QHuO1giYKkswNdzSlTdDqCL7iA4JRkav/8Z0rnvkzNd99h/eQTzH37tMtw1VSfqD702R7Bnc/Mx+ay8VPxT6w7vI51hevYVraNfdZ97LPu490d7wLQO6I3QxOGMix+GIPiBhFsCP6VTxBCdGYtDleHDx/mww8/ZN68eTzzzDNcfPHF3HzzzUycOPGkFx2cNWsW06dPZ/DgwQwdOpTZs2dTU1Pjmz1w2rRpJCUl8fTTTwPw9NNPM3jwYFJTU7Hb7Xz22WcsWLCAl156yXfOP/zhD0yZMoWRI0f67rn65JNPWLly5UnVKIQQ4iSEJIApHOoqoCQPEjrxtOxxfeCBvWrQ1GgDXU2rsgwaRJf//gfb1m0cWbCA8Kuv9h2rWbcORafHcvZZAazwl5l1Zs5LPI/zEs8DwOqwsrFwI+sK17G2cC07j+wk70geeUfyWJCzAK2ipU90H4bFD2NowlAGxgzEpJOlXoQQjVocrgwGA1OmTGHKlCkcOHCAV199lZkzZ2K325k+fTqPP/44Ot0JzezOlClTKCkp4bHHHqOwsJCBAweydOlS4uLiADhw4AAaTeOEhjU1Ndx1113k5+djNptJT0/njTfeYMqUKb42V1xxBXPnzuXpp5/m7rvvpnfv3nzwwQcMHz78hGoTQghxChRFDRX7v1eHBnbmcAVgsJzRXwNz3z6Y//F337bX46HoiSex79yJZdgwou+4Hcs555z0H2NPl1BDKKO7jGZ0l9EAlNpK2VC4gbWFa1l3eB0Hqg7wc8nP/FzyM//d8l/0Gj0DYwcyLH4YwxKG0Se6D3pN+53gQwjR9k4sDdXr0qULjz32GDfccAM333wzf//73/n9739PZOSJj0ueOXNms8MAj+5tevLJJ3nyySd/9Zw33XSTbwZBIYQQARKbUR+utgW6ksDxetWg2cl4bTbMAwdg37eP2rVrObB2LeYBA4i643aCm9zD3d5Fm6OZ2H0iE7tPBOBw9WFf0Fp7eC3FtmLWF65nfeF6Xtz0ImadmUFxg3xhq3dkbzRKi1e9EUKcAU44XNntdj744APmzZvHmjVruOSSS1iyZMlJBSshhBBnsFiZ1IKN82HdKzD0Vhg8I9DVnDaaoCASnniC6Lvuoux/86h47z1smzeTf+ddGNPTiXvwjwSdc06gyzxhCcEJTO45mck9J+P1etlv3c/aw2tZW7iW9YXrqbBXsOrQKlYdUifRCjOGMSRuiHrPVsIwuod27zDBUghxclocrtatW8f8+fN555136NatGzNmzODdd9+VUCUA8Hq8eB1uvA43Hrsbr8OD1+EGcxK6GifaIBkmIUSnkzYOprwBcX0DXUng7Fim9tzVlgW6koDQJyQQ/+gjRN9xO+WvvsqRt97Gvn17u12E+EQoikK3sG50C+vGlPQpeLwedh7Z6QtbGwo3UGmv5MsDX/LlgS8BiDHH+CbHGJowlKTgpABfhRCitbU4XJ1zzjl06dKFu+++m0GD1AUQjze9+aRJk1qvOtHqvG4vXuexIchTH4y89qO33Xidnvq29e+rf496zI3H7gGX5/gf2P06eOIHNCF69HFB6GMt6OIs6OMs6OOC0JhPamSqEKIjCO+iPjorZx3s/UZ93atjT8F+qnTR0cTefz9Rt9xC5ZIlBI0Y4Tt25O23QVEIu/JKNAbDL5ylfdMoGnpH9qZ3ZG+m9ZmG0+MkpyzHN4Twp+KfKLGVsGTPEpbsWQJAcnCyb32toQlDiTaf2kzMQojAO6HfbA8cOMATTzzR7PETWeeqPcrOziY7O7tdXYO7yoHHEIH3UHVj6DluKGomBB213WwIai0KKAYtilGLxqDFe7gItz4UT5UTe1UF9l0Vfs01oQY1aMWqYUsXr77WmCR0CSE6uP2rwFkLIYmdu/euCW14OJFTp/q23dU1FM/+PzyVlZTOeYnIm2YQcc01aCyWAFbZOvQaPQNiBjAgZgC39r8Vu9vO5uLNvnu2tpRuIb86n/yd+Xyw8wMAeob39AWtwXGDCTO2bNFSIUT70eLfYD2eNv6lvB3IysoiKysLq9VKWAtXYW5rpfO24ux5C7zwU+ueWFMfggxqCFIMGvW1Uevbrxg09cfqH0b/bbWtxu886BT/8eSTJuF5bxHOolpcRbU4i2pxFtfiKqrBXenAY3Vgtzqw76zwK08bZmzSw1UfvGItaIxn1jTGQpzx8jfAnpWQNAhSRwe6mtNr53L1OW1cp5zUoiUUvY6YmTMp+9//cBUWUvz3f1D28n+IvPFGIq67Fm1ISKBLbDVGrZGhCWpw4iyocdawsWijb42t7eXb2VWxi10Vu3hr+1soKGREZTAsYRjD4odxVuxZWPQdP3QKcaaT7oF2TmPWobjrUCJC1WBj1KLoNc2HIOOxoahFIagtr8Gow9glFGOXUL/9njpXk9BVowavolo8VQ7clXbclXbsO474vUcbbkQfZ0EXF+QLXrpYi3pNQoj2J/cT+H42DLmlc4Urrxd2fKG+Thsf2FraMY3RSOQN1xM+5RoqP/qIsv++gvPgQUr+9S/KXnmFxKefImTs2ECX2SaC9EGMTB7JyOSRAFTUVbC+aD1rD69lXeE69lbuJacsh5yyHOZvnY9Oo6N/dH9Gp1Vyhb1SerWEaKdOKVyFhoayadMmevTo0Vr1iKPE3NYfJk2CxYsDXUqr05h0GLuGYux6VOiqdeIsrj0meHmqnbgr7Lgr7JDXJHQpoI0wNYat+nu79LFmFL2ELiECqmHGwKKcwNZxupXthiN7QaOHHhcEupp2T2MwEHHNNYRfeSXWzz+ndO7LOPbuxdizp6+N1+s9o2faCzeFM67rOMZ1HQdAcW2xL2itPbyWwzWH+bH4R37sD3PeH8flqZdzfeb1dA3tGuDKhRBNnVK48nq9rVWHED4aix5jtzCM3fz/Kueucaphq7gGZ2F9+CquwVPjwl1eh7u8jrrc8sY3KKCLNB3Ty6WPtaDoZN0RIU6LuIbp2Ld1sjWfvDDgWnA7wXjmDG1ra4pOR9hllxF6ySXUbdmCoVs337HDjzyKxmQk6uab0Sed+bPsxVpiuSz1Mi5LvQyv10t+dT6rD61m4bJ/sDPMxjt577AwbyEXJF/A9ZnXMzR+6BkdPoXoKGRYoOgwtEF6tD3CMPY4KnRVO47p5XIV1+KpdeEqq8NVVkddTpNpkDWgizI3mblQDV+6aLOELiFaW3QvULRQVwlVhyE0MdAVnR7RaXDF3EBX0WEpGg3mAQN8285Dh6j86CPweDjy7nuETZpE9G23+oWvM5miKKSEpDAlfQrXPPAGa19+hAU5C/g2/1tW5q9kZf5Kekf05vrM67m4+8UYtB131kUhOrpTClfXX389oaGhv95QiDakDTagDTZAarhvn9frxVPtbAxbDZNpFNXgrXPjKrHhKrHBtqahS0EXbfJNnqELy0STW6bes2bUoTHVz4Jo1J3We9aE6NB0RojqCaV56tDAzhKuRKvSJSbSZf58Sue+RO2aH6hctIjKjz4idOJEom6/HVPvXoEu8bRRUDgn4RzOSTiHvZV7eTP3TRbvXkzekTz+9P2fmL1xthrCel1DlDkq0OUK0emcULjat28fy5cvx+FwcMEFF/DSSy+1VV1CnBJFUdCGGNCGGDD1jPDt93q9eKwO3+QZzqIaXPX3d3ntblzFNlzFNrVx0iXwWjP3iWiV+tClhi3FpG3cNunq9x8dyrQoJl2T96nHFa2ENHGGi8tUw1VxDqSdmZMT+CnZAS4bxPfvRMMg25aiKAQNG0rQsKHYNm2idO7LVK9cifWzz7B+9hlJ//d/hE7ofBOHdA/rzqPnPMrvzvod7+94n7e2v0VxbTFzNs3hlZ9f4dLUS7k+43rSItICXaoQnUaLw9XXX3/NpZdeis2m/uKp0+mYN28e119/fZsVJ0RrUxQFbZgRbZgRUy//0OWudOBqMmuh+9t1eHr3wWt346lz+9YMA8DtxVPrgloXbuynVpNec5xQdtS2qX7K/IZwZqoPdUatL7wpei2KRn6RE+1QbCZs+xCKcwNdyemx5kX48TUYfh+M/UugqznjmAcOJGXuS9Rt307pyy9Tu+YHgs4/33fcbbWi7WSjasKMYdzc72am9ZnG8n3LWZCzgK1lW1m0cxGLdi7i3IRzuT7zeoYnDUejyPB3IdpSi8PVn/70J8aNG8dLL72EyWTi0Ucf5YEHHpBwJc4IiqKgCzeiCzdi6h2p7lxwP7zgP0uj1+NVF2Suc+O1u9RFm+vc6rPd5Qthx2671HaOhvYucKkTwnidHnUB6GrnKV6EunaZxqRF030a+ne2q/eUxaoTeeiizBK+RGAMnArpl0BUJ/jrudfbuL5Vt+GBreUMZ0pPJ/lf/8JdVYU2OAhQ/1C2/8Yb0ZgtRN9xB0HDz+9UQ7j1Gj0X97iYi7pfxKaSTSzIWcCKAytYc3gNaw6voXtYd67PuJ7LUi/DrDMHulwhzkgtDldbt25l9erVJCQkAPDss8/y8ssvU1ZWRlSUjOkVnYOiUdTeI5MOMJ7SubwuT30Ic+Opc/mHtqYhrc7V2K5p+4YeNYcLPIAXvHY3brsbtzkO56YS/w/UKeijLb7A1TB7oi7KhKKVv2SKNhSWpD46g6KtUFUAegt0lXB1OjRdaNixezeOnbvwOp0cvPVWTH36EH3nHQSPGYOi6Tzf5xRF4azYszgr9izyq/J5a/tbLNq5iL2Ve3nihyf490//5upeV/Pb3r8lLigu0OUKcUZpcbiyWq1ER0f7ti0WC2azmcrKyjMmXGVnZ5OdnY3b7Q50KaITUHQatDoNBOlP6Txer1ft/WoSxtwPPIbztln1U9ersyd6nR6chTU4C2uwNT2BVkEXbfYLXPq4+p4umT1RiBOzc5n63P0C0JsCW0snZOzZk9Qvl1M+bz5HFi6kbts28mf+DmNaGlG3307oRRNRtJ1r/cPkkGQeGPIAdw24i492fcQbuW9wqPoQr2x5hVe3vsqE7hO4IeMG+kT3CXSpQpwRTmhCiy+++IKwsMZpsD0eDytWrGDr1q2+fZMmTWq96k6zrKwssrKysFqtftcpRHumKAqKQQsGLdqGP+BW78Y8KsXXxuvx4q6wq0GrYcr6htDl8OCqn1HRtqXJiRtmT4xtDFz6uCCZsl6cnC3vw+6vof81Z/aiujvqw1XauMDW0Ynp4+KIe+hBom6/jfLXXufIm29i37mTgvvvRxsSTPAFZ/C/v18QbAjm+szruTb9WlYeXMnrOa/zY/GPLNmzhCV7lnB27NnckHkDo1NGo9V0rgAqRGs6oXA1ffr0Y/bdfvvtvteKokivjxDtkKJR1AWVI02QHunb7/V4cVvtjdPV1weuY2dPbDJlvaKuE9YYuOrDV4wZRS8/kEUzdn8Nm95QhweeqeGqthzy16mv0zrfzHXtjS4yktj77iXq5ps48uab1Kz5gaARI3zH8++5F/eRI+iTktAnJqrPSUnokxLRx8Wh6E9tVEF7pdVoubDrhVzY9UK2lW1jQc4Cvtj7BT8W/8iPxT+SFJzE1IypXNHzCoINwYEuV4gOp8XhyuPxtGUdQogAUDQKunATunAT9G4Surxe3FZHY+Cqf/atE1Zqw1Vq81+cWQFtpMl/eGF9r5fGIKGr04vLVJ+Lm1ne4Eyw+yvwetTZEcNTfr29OC20oaFE33knUXfc4Te5he3HH3GVlBz3PfqUFHouX+bbPvLOQtBqMNQHMV1iIhpDx1+ot09UH/4+4u/cd/Z9LMxbyLs73uVQ9SGeWf8M2ZuyuTLtSqZmTCUpuJPcMylEKzilRYSb8ng8fPbZZ1x66aWtdUohRIAoioIuzIjuOFPWe6qcOIvrF2eu7+VyFdfiqXXhLqvDXVZHXW55k5OBNqLJ8EJf+DKrCzKLziE2Q30uOoPDVcYkmP4JOG2/3lacdkfPGpj0f7NxHjpU/yhQnwsKcBYUoK+fvKtBaXb2MUFMFxODPikJU/9+xD/8sG+/89AhtJGRaMwdZza+uKA47j77bm7tfyuf7P6EN3LfYG/lXhbkLODN3De5sMuFXJ9xPWfFntWpZl8U4mSc8m82u3btYt68ebz66quUlJTgdJ7idNJCiHZLURS0oQa0ocdZnLna6Tes0Be6apy4y+twl9fB9nK/82nDjf6BK86CXmNA7ug6A8XW3yxfvgcctWCwBLaetqAzQPeRga5CtJDl7LPh7LOP2e/1ePDUNgZkr9dLyLixOPLz1fB1qACvzYarpARXSckxwwf3XXsdruJitJGRjcMN65+NPVMJOuecNr+2k2XWmbmm9zVc1esqvj/0PQtyFrDm8BqW71/O8v3L6RPVhxsyb2B8t/HoNWfmsEkhTtVJhSubzcZ7773HK6+8wvfff8+IESN47LHHuOKKK1q7PiFEB6AoCtoQA9oQA6SG+x1zVztwFdv8e7uKa/FUOXFX2HFX2LHvONL4hvR70D23AX1iEIakYPSJ6kN7irMqigALjgVLFNSWQWkeJJ4V6IqEOC5Fo/GtmwXq97f4xx7zbXu9XtwVFTjz1Z4ujblxVkivy4Wnrg4Ad3k57vJy6ppM+mUZMsQvXB245VY0ZtMxIUyfmIgmNDRgvUQaRcOI5BGMSB7BziM7eTP3TT7Z/Qnbyrbx4HcP8vzG57k2/Vqu7nU1YUaZAEyIpk4oXK1fv55XXnmFd955h9TUVKZOncrq1auZM2cOmZmZbVWjEKID0wYb0AYbMPbw/wHsrnHiKqn1C1zOolo8Vofvni7bz6WN5wk3ok8KxpAYrD4nBathTnQMiqLei7TvO3Vo4JkWrtb9F8p2qQsmJ/QPdDWiDSmKgi4iAl1EBOZ+ff2P6XT0WvsDHqu1vpfrkN+zsVdvX1uvw0HN99+rC08fR9CIEXT5739820fefhttRCRmp5PT+aemtIg0/nLeX7j77Lt5N+9d3tn+DsW1xfzfj//Hf37+D5NSJzE1Yyrdw7qfxqqEaL9aHK769++P1WrluuuuY/Xq1fTpow7xePDBB9usOCHEmUsbpEcbFIax21Gh64opOJ+Zi+NQNc6CahyHqtV7uep7ueq2NU6ioQk1NIat+mdtmEHuCWivYjNh3yqwFgS6ktb30xtweBMkDJBw1ckpioI2LAxtWBimjIxfbJs8J9s31LBpCHOXlaGLbDL02uGg8K9P+IJY0M23EH71VYSMGYNymibWiDRFcseAO7ip7018vvdzFuQsIO9IHgvzFrIwbyEjkkZwQ+YNnJNwjnwPFp1ai8NVXl4eU6ZMYfTo0dJLJYRoM1q3DW1aBKa0xl8sPDYXjgI1bDkPVeMoqMZVYsNjdVBnLaeuyb1cmiAd+sRg35BCQ1Iw2kiT/LBvDy74I4z9MxiCfr1tR1JVqAYrgJ5jA1qK6DgUg4GQ0aOPe8xjs/mGFwJ46uoIvfhiHAcOULdlCzXff0/N99+jjYwkbPJkIq65GkO3bqelboPWwOU9L2dS6iTWF65nQe4Cvjn4Dd8d+o7vDn1HWkQaN2TcwMU9LsaoNZ6WmoRoT1ocrvbs2cOrr77KnXfeic1m49prr2Xq1Kln1C8s2dnZZGdny1pdQrQzGrMOU2o4pib3c3nsbpyFNWrYqu/lchbV4qlxYd9ZgX1nha+tYtL6DSfUJwariyFrzpzvXx1CUFSgK2gbu75UnxPPUu8tE+IUacxmv9kGtaGhJP3zOQAcF11ExYQJVH6wCFdJCeXz5qGPjyfyNIWrBoqiMDRhKEMThrLfup83c9/ko10fsfPITh5b/Rizf5zNlN5TuKb3NUSbo09rbUIEUovDVVJSEo888giPPPIIX331FfPmzeP888/H5XLx6quvcsstt9CrV6+2rLXNZWVlkZWVhdVqJSxMbtAUoj3TGLUYu4Zi7Brq2+d1enAW1qi9XPU9XM7D6tpc9j2V2PdU+toqBg36hPqwVR+6dDEWFK0ELnGCdtavh5Q2IbB1iE7BoNcTe++9xMycSfW331KxaBFhky7zHa9csgTbjz8RfvVVmNLTT0tNXUO78vCwh8kamMWinYt4a/tbFNYU8tLml3hlyytc0uMSrs+4nt6/fiohOryTmi1wzJgxjBkzhsrKSt58803mzZvHc889R9++ffn5559bu0YhhGgRRa/BkBKCISXEt8/r9qhTwxc09HDV4Cyoxuvw4NhvxbHf2ngCnQZ9QhCGxKDG+7jig1B0Mjl8q1n5d9jzDYx7HFKGBrqaU+d2wu6v1ddp4wNbi+hUFJ2OkDFjCBkzxm//kdcXYNu8mSNvvompXz/Cr76K0Isv8ZsBsa2EGcOY0XcG12dez4r9K1iQs4CfS3/mo10f8dGujxh5npk/Wg/QJbRLm9ciRKCc0jpXYWFh3HXXXdx1111s2rSJl156qbXqEkKIVqFoNRgS1aAUNFjd5/V4cZXU4ijwH1botbtxHqzCebCq8QQaBX2cpXFIYZIauDQGbWAuqKMr2AQHVsPhzWdGuDrwA9itYIk+82ZAFB1S9N2/o+K996lasYK6LVso3LKFor//g9CLLyLi6qsxDxjQ5jXoNXomdp/IxO4T2VyymQU5C/hy/5d8m2Djh4+v4JZ+t3BTv5vknixxRjrlRYQB7HY7X331FR9//DEvv/xya5xSdGD79u2joqKC6upqPHFxxO/YQUJCAiEhIb/+ZiFOA0WjoI8LQh8XBGep98h4PV7c5XX+QwoPVeOpdeE8XIPzcA21G4rqTwC6WIv/TIWJQbL4cUvEZsCOz6FoW6AraR22IxCaDN1HgEb+BYjACz7/fILPPx9XWRmVH31MxXvv4di3j8r3P8BVWESXV/57WusZEDOAARcMYF/lPp56+WrWxNUxZ/McPtnzCQ8Pe5jhScNPaz1CtLUWhyu73c5f/vIXli9fjsFg4IEHHmDy5MnMnz+fRx55BK1Wy3333deWtYoAOnTokC8wHf3Q6/XcdNNNvrZLly6lsLBQ3UhKgrfeAiA4OJjk5GSmTJlyRk2EIs4MikZBF21GF22G/jFA/WKhlfbG3q36Z0+1E1dRLa6iWvip2HcObc9b0M/fii7Ggi5GPZc+xowmRKaH94lTl/GgODewdbSWzEmQcRk4agJdiRB+dFFRRN18E5E3zcC2YQMV779PyPjGoavOwkKKn3+e8KuuwjJkSJt/j+oW1o2XV8Wz7N8zeWbdMxysOsidX97JuK7jeGDIA8QHxbfp5wtxurQ4XD322GO8/PLLjB07ltWrV3P11VczY8YMfvjhB55//nmuvvpqtFoZJtORFBcXU1lZeUxYqqqqQqfTMW3aNF/bTz75pDEwHcVo9O/WT0lJISgoiODgYLxffcXh9HRKS0uprq7myJEjft/A33rrLbxeLwkJCSQmJpKQkEBoAFelF6IpRVHQhZvQhZsw92mc7cptdTT2cNUPKXRX2HEbInDnHYG8I/7nMWrV4BZjRh9t9gtfnW54YWz9uj/FueqaPWfC/+uKAsbgQFchxHEpioJlyBAsQ4b47a9YtAjr4k+wLv4EQ9euhF99FWGTJ6OLbruZ/RQUJnSbwPmJ5zNn8xzeyn2L5fuXs+rQKu4acBdTM6ei15zOJZKFaH0tDlfvvfcer7/+OpMmTWLr1q30798fl8vF5s2b5RfhdqS8vByr1XrcwKTVarnuuut8bT/88EMOHz583PMYjlqUMDExEb1eT3BwsO8REhLie+31en3/Di655JLGN86fDy+8gMPhoLCwEKfT6TvkdrvZvXs3brebnTt3+vZbLBYSExNJTU3l3HPPbY0vixCtShtqwBwaiTk90rfPXePEdfM9OO/7E64SG65SG66SWlzldeq9XPU9X7ajzxVmVIPWUcFLG2Y8M6eKj0oDjQ7slVCZD+Epga7o5FWXgDkCtK0ywl6I0ypk9GhchwuxLlmCY/9+ip/7J8Wz/4+Q0aMJv+Zqgs47D6WN/mgebAjmgSEPcHnq5Tz5w5NsKtnEPzf+k493f8yj5zzKoLhBbfK5QpwOLf6JkJ+fz6BB6j/2vn37YjQaue+++yRYnQZVOh1VBQW+kNQ0NGk0Gq6++mpf2/fee6/FgSk2Nhav1+sXmJo+mgamSZMmndI1GAwGunTxnx1IURRuvPFGCgoKOHz4MAUFBZSUlFBbW8uuXbvQ6/W+cOX1enn33XeJjo4mISGBhIQEwsPD5d+faDe0QXq0tfkYhyX47fe6PLjK63CV1OIssfkFL0+tC3elHXelHfuuCr/3KXoNuiizL3jpYiz14cuMxtSBf5nXGSC6FxTnqL1XHTlcfXwXHFwHk+dA+iW/3l6IdsSUkUHCE38l7sE/Yv38c4689x51m3+mavlyqletIu3bb9C28b3SvSN789pFr/Hxro95fuPz7KrYxY1Lb2RS6iRmDZpFlPkMXRtPnNFa/BPa7Xb7/XKu0+kIDpZhEKfD26mpFPznP8c9ptf7d59HRUVht9v9epWaC0xXXHFFm9f+SzQaDSkpKaSkNP5y5XQ6KSoqoqCggPDwcN/+iooKcnP979Ewm82+4YQ9e/ak22leQFGIllB0GvSxFvSxFsxHHXPXONXerRIbztL64NXQ21W/Zpez8Nh7eTQhenTRFvRHBS9thKljrNMVm6FOBOGoaraJ1+vF63Djsbnx1rnw1Lnw2Fx469y+15469ZgSNwbd2sPqrI6xFjSW0zCsyGmDvd+Cqw7Cu7b95wnRRjRBQYRfdRXhV11FXd4OKt57D0Wr8QtWhU89RdDQoQRfcAGKvnX//9IoGq5Iu4LRKaP5v5/+j/d3vM/i3Yv5+uDX3Hv2vfwm7TdoNZ1s+LTo0FocrrxeLzfeeKPv/pq6ujruuOMOgoL8101YtGhR61YoCHU6qWomLIWEhPgFpquuuirA1Z4avV5PcnIyycnJfvuNRiOXXHKJr4eruLgYm83Gnj172LNnD16v1xeubDYb3333ne8ersjISOnhEu2SNkiPNigMYzf/Rcu9bi+uI3W+4OUqteGsf+2pduKpcuKoqsSxt/KoEyrookzHBC9dtBlt0Om9j8Hr9uK1N4YgT50Lb8Pr2L/gCfPi3evCk7ujPjTVB6g6t28bbws/LGoQfLjLt6kJNfiClj4+CF1D6GrNHr99q9RgFZrUOEmHEB2cqXcv4h99xG+fbds2jry+gCOvL0AbE0345CsIv/oqDF1ad62qcFM4fz73z0zuOZknf3iS7eXbeeKHJ/hw54c8eu6j9ImS/89Ex9DinzTTp0/3277++utbvZhAy87OJjs7G7fbHehS/EzZswdl9uxAlxFQFouFIU1uxnW5XBQXF/uGFPbo0cN3rKCggNWrV/u2jUaj34QZ3bp1k2nhRbumaBX00eo9WGT4H/PUudSeribBy1VSi7O0DlweXMU2XMU26o46p8ai8wUtXYy5PnxZ0EWajrtIstflqQ9G9b1Ftobw48JrczfpSWoMRGpbl9rb5Gil76NaBY1Jh8asQzFpG18btWjMOjQmHZ6338N1/gSchbW4K+14rA7sVgf2nRX+pwo3oo+z1IetIPTxFnSxlpObVGTHF+pz2rgzY1IOIZqhi4oi6pabqfjwI9wlpZT997+U/fe/WIYNI/zqqwkZNxaNsfXWqxoQM4C3L3mbhXkLefGnF9latpVrP72WKb2n8Luzf0eoIbTVPkuIttDicDV//vy2rKNdyMrKIisrC6vVSlhY2K+/4TSRH9vH0ul0JCYmkpiYeMyxoKAgBg8eTEFBAUVFRdjtdvbt28e+ffsAuPTSSxk8WF1NtqKiggMHDpCYmEhkZCQaWadGtHMakw5DSgiGFP8/EHg9XtwVdr9erobg5a504Kl14dhvxbHfetQJQRdhQuk+Fe8/N/hCEq6Wdhv9MkWvQakPQRqTtj4kHf1ah8asBielPjw17EOn+fWe5//7Bmb8HlDDp7O4FldhLc6iGpzFtTiLavFYHeqMjhV2/9kcFdBGmNSerjgLurgg9XWMBUXfzPcDrxd2NoSrCa3wVRKi/dLHxxN7//3E3H03VStXUvHe+9SsWkXt2rXUrl1L8pw5hIwZ3aqfqdPomJoxlfFdx/Pchuf4bO9nvJP3Dsv2L+P+wfdzaY9LZUSKaLc68F3RQhxffHw8l156KaDeK1hcXOwbTnj48GGSkpJ8bXfu3MmSJUsAddKNhskyEhISiLZYiHU6ffe1VVdXU1tbC6iTcTR9AISGhqLTqf9L2e127HZ7s22NRqNv6QK3243b7fYdO7pt09dCNEfRKOgiTegiTZh6Rfgd8zjc9WGr/v4uX/Cy4XW4cZXVgTkRSo6ay1BRp5E/Xs+RGoS0TV43BiSNSVcfqLQo2mYCysIbYPc6mPYxxKa32tdBY9Jh7BKKsYv/X7c9tU5f0HIW1uAqqsVZXIun2om7vA53eR11ueV+166LMqOLtaCPt9SHryB00WaUI7ug4gBoDdB9ZKvVLkR7phgMhI4fT+j48TgPHaLig0VUr1pF8MgRvjYVH6i3hoReNBGNxXLKnxljieEfI//BlWlX8uQPT7LPuo+HVz3Mop2LePScR0kNTz3lzxCitUm4Emc0rVbrC0tnn332McdNJhPJyckUFhbicDjYv38/+/fvVw+mp3NneTlxcXEArF+/nm+++abZz7rlllt894pt2LCB5cuXN9t2+vTpdO/eHYCNGzfy2WefNdv22muvpXfv3gBs2rSJxYsXNxvErrjiCjIy1HFk5eXlbN261dfDZ2mFH3SiY9IYtBiSgjEk+U9C5PV68VgdOEtseB97HM2Tf2kMTGYdikHbdtPBWwuguhCKt7VquGqOxqLH2O3Y+9vc1Q6cRbW4mgavYnUmR1epGkLrcsqanEhBZ7GhdzyILkqLfocNfZwGXZSp+SApxBlGn5REzN2/I+bu3/n2eV0uSv79b1xFRRQ9/TShl15C+FVXY+576vdKDUsYxqJJi3gt5zVe3vwyG4o2cNXiq5jWZxq3978di15+von2Q8KV6NT69etHv379cLvdlJaW+vVwVe7e7bcwtl6vx2KxqLOY1T8A3+umQwoVRUGj0fi1a86vHW/aa+X1evF4PM22bXps3759fPXVV77t8PBwX9BKTEwkKSnpmAWgReeiKAraMCPaMCNU74Yep3E4dFwmHNqgTsceQNpgA9pgA6SG+/Z5vV481U51WGGhf/Dy2t24qk24GA4lwJvb60+kqPexxQXVT6ShDjHURZrOzPXKhDiK1+UiYupUKt5/H+eBA1S8s5CKdxZizMwg4uqrCb30Uk5lzj+9Vs8t/W7hou4X8fd1f2flwZXM2zqPz/Z+xoNDH2RMyhgZ5SHaBQlXQqD2cMXFxREXF8fAgQPVnZMmQZOV6ocPH87w4cNbdL7zzjuP8847z29f01DW9AfA4MGDOeuss44b2Lxer18A6tOnD6mpqc0GvKbLI4SHh9O3b18KCgooLy+noqKCiooKcnJyAJg6dSppaWkAlJWVYbVaSUhIwGQytfCrJsQpiM1Un4tyAlvHcSiKgjbEgDbEgKln4xBLr9eL2+pQhxQW1qiBq7gWV1ENXocHZ2EtzsJa/4WidRr0sWZ1SGGTGQy14WfoItGi09KYTETfditRt9xM7bp1VLz7HlXLl2PPyaXw8b9St2MHCb9+ml+VFJzEC2NeYOXBlfx93d85VH2Ie7++l5HJI3lw6IOkhHTgtfPEGaFVw5Xdbj+pv4RnZ2fz7LPPUlhYyIABA3jhhRcYOnTocdsuWrSIp556il27duF0OklLS+P3v/89N9xwg6/NjTfeyGuvveb3vgkTJrB06dITrk2I1tLcvVNardavh+yXGAyGYxaDbk6PHj18syjabDa/XrlDhw75TQayadMmvvvuO0BdK61pD1d8fLz0cInW1xCuircFto4ToCgKujAjujCj331tDZOJNAQtZ2F96CquVdcrK6jBWeC/Xpli0Kj3cyVMRL/qEPr4IPQJQad9ynwhWpui0RB0zjkEnXMOriNHsC5ezJH33iP8yt/Axo0AeD0elFOcQGpUyiiGJQzjvz//l/nb5vNt/resPbyWW/rdwk19b8KgbdnPSiFa20mHq0mTJjFy5EimTp1KQkICJSUlXH755X5TYLfEwoULmTVrFnPnzmXYsGHMnj2bCRMmkJeXR2xs7DHtIyMjeeSRR0hPT8dgMPDpp58yY8YMYmNjmTChcdamiRMn+s1wKL8cis7MbDb7ha2j6XQ6wsLCqKyspKysjLKyMrZs2eI7fs899xARof4yWVVVhdFobHHIE+K4GsLVkX3gqAFD0C82bzc2vQ3GEOgxCoxqT3HTyURIj/Q19Xq8uMvr6nu41J4uV2EtzpJatacrvxpnRD/4dI/vPZpQgy9oGeqfdTFmuZ9LdEi6iAgip08nYto0v/2Ff3kcr8dN3B//6LdY8Yky68zcffbdXJp6KU/98BRrC9eSvSmbT/d8ysPDHua8xPN+/SRCtLKTDlfdunVjyZIlPPbYY9x+++0sXryY0NATX3vg+eef59Zbb2XGjBkAzJ07lyVLljBv3jwefPDBY9qPGjXKb/uee+75f/buPD7K6uz/+OeefUkymewLWUjYQRZlcRctglbFrRW1KmK1VeNWtFZra+tTK9o+j7Vq1NrWpbYu/VlbdxCx7ggqArIvAUJC9m0y+3b//phhMkMCBEiYBK73q/OamXvO3HMmjWG+c865Ds8//zyffvppQrgyGo3k5eUdcH+EOBqddtppnHbaabhcLnbt2pVw8fv9pKenx9ouXLiQdevWkZ2dnTDClZubG6usKMR+pWSDNRtcTdC4AYYcl+we7Z+qwvu/jhTiuOI1GPadfTZXNEpkX7EsM+axmV2nCakEWz2REa5H/kJg+mwC9S5CLd6uPbo2xZWL1yqx6YT6/Oglz4o2Vb7gEIND/KwN//bttL/6KoTDuD75lPz/uY+U0047pPOX2cr488w/s3D7Qn735e/Y4djBjxf/mFmls/jp5J+Sa8091LcgRK8ddLh69NFHAXj55Ze5/PLLSUlJ4auvvjqgc/j9fr7++mvuvvvu2DGNRsOMGTNYunTpfp+vqioffPABGzdu5KGHHkp47MMPPyQnJwe73c4ZZ5zB/fffT2ZmZo/niS+bDeBwOHpsJ8SRzmq1Mnz48NhaLIhMKYz/h7GjowNVVWlsbKSxsZGVK1cCkf928/Pz+eEPfxgr7rHn+jIhEpScCK5mCAeT3ZPeqV8dCVZ6C5T2bv1lTxStgj47spcWTZ/DlZEvEsO+YHTdlotAnSt2rfpCkft1Lvim6zyaFH0saMWCV46lx02hhRgoDKWllPzteXbdcw+BHdXs/PH12M4/n9yf3432EPYYVRSFs4eezcmFJ/PEyid4ccOLLNq+iE9qPqFiYgWXj74cnUZKDYj+p6j7K1UWddNNNzFx4kSuvfba2LGtW7dy8sknc84557B161ZOP/107r333l6/+K5duygsLOTzzz/nhBNOiB2/8847+eijj1i2bFmPz+vo6KCwsBCfz4dWq+WJJ57gmmuuiT3+8ssvY7FYGDp0KFu3buXnP/85KSkpLF26tMe1Lb/+9a+57777ur/OWWeRNhC+iV++HPayBm3Ak74nRz/2XQU69Xp2WSwJF7deT77bzY83bIi1/cuIEYQUhQK3O3bJ8Xj2XTFKfu7JIX3fv7wdULAd2jOhalzfnHM/fVeBkD6NgDGbgCmbgCmHgDGboMEOPX1xoYbQ+VrR+5rQe5sweBvR+5rQBF19vyG9/M4kxxHS93A4TFNLC61t7UB065TcHFJTUvZxgt7bYPPxm0ktrM6MfHk+ot3AL1ZmMqnlIIs2HSE/90FngPTdEQhgW7iQjo6O/c7U63W4Kioq4u2332b8+PEA1NXVcdJJJ3H++efzhz/8gffff58bbriBzZs397qjBxuuwuEwVVVVOJ1OlixZwm9+8xv+85//dJsyuFtVVRXl5eW8//77fOc73adx9DRyVVRU1Ksf4GExeza88Uaye3FwpO/JcZj7rqoqHR0deDwe8vMj9aCCwSAPPPBAt9LxWq2WvLw8RowYwWk9TQWRn3tySN/3768zYecyOPcRmDyvb855kH0P+0ORqoXRES5/dGRL9fY8Cqix6LpNK9TnWlD0h1AcW35nkuMI67v7m2+ou+cX+Kuq0NrtlC9+D20fBaywGubfm//NH1b8gQ5fBwAXDruQnxz3E+wm+36evf++DxrS90PmcDhia9P3lw16PT7a0tISK/Pc1tbGrFmzuPLKK2MjPmVlZdTW1h5QR7OystBqtTQ0NCQcb2ho2Od6KY1Gw7BhwwCYOHEi69evZ8GCBXsNV2VlZWRlZbFly5Yew5XRaJSCF0IcAkVRSE9PT1ibpdVqufnmm7ut4fL5fNTW1ia0VVWVF154gezsbHIzM8nYvh273U5qamrC/mHiCDUYClq4W6Hmy8jt4Wcmty9EN4YuSsVQ1FUMQFVVQh3+rmmFdc7IpshNHsLuIL6qDnxVHV0nUUCXZU4MXPlWtDajTOcVh41l0iSG/vs1mh9/HNOYMX0WrAA0ioaLR1zMGcVn8MiKR3ht82v8e8u/+WDnB9x27G1cNPwiNIr8GyP6Vq/D1ahRo7j//vu5/PLLufPOOzn//PMTptJ99tlnlJSUHNCLGwwGjjvuOJYsWcIFF1wAREallixZwk033dTr84TD4YSRpz3V1NTQ0tIS+0ZdCNH/FEXBbrdjt9sZO3YsEPnw19raSl1dHVZr14fp1tZWqqqqqKqqgpISeO45IBLQ0tPTmThxIqeccgoQ+e+9sbERu90uX4oMdqEAVE6F1ir46VawZu3/OcmyZQmoYcgdB7Yhye5NjxRFQZduRJduxBxftTAQItDoiYStuLVcYXeQYJOHYJMHz+rmrvOYdOjzuwpoGPJT0OVa0BgOZQtYIfZOYzSSc/vtCcccCxfhePdd8u79Jbq9rJnvLbvJzn0n3seFwy7kN1/8hk1tm7hv6X38e/O/+cXxv2B05uhDOr8Q8Xodrh544AEuvvhi/vWvfzFz5kxefvllTj75ZCZOnMjHH3/M7bffzvz58w+4A/Pnz2fu3LlMnjyZqVOn8sgjj+ByuWLVA6+66ioKCwtZsGABAAsWLGDy5MmUl5fj8/l45513eOGFF3jyyScBcDqd3HfffVx88cXk5eWxdetW7rzzToYNG5ZQTVAIcfgpikJmZma34jIWi4WLLrqIXbt20fTee7SVltLe3k4oFKKlpQW/3x9r63A4eOqpp2LPy8jIiIU4u91OYWFhj9s4iAFIq49U4ANoXAdDT01uf/ZlV7SSxAAYtTpQil6LoTAFQ2HXiICqqoQ7/d2mFQabPKjeIP5tDvzb4oo7KaDLNKPPs6DPT0GfZ0VnsKMLhqWAhuhzqt9PwwMPEGxsxL1sGbm/+AVp53z3kEdUJ+ZM5JVzX+GlDS/x+DePs7p5NZe+fSmXjryUmybdRKrh4MvCC7Fbr8PVWWedRWtrKxCZRnffffdxwQUX4Pf7UVWVSy+9lDvuuOOAOzBnzhyampq49957qa+vZ+LEiSxcuJDc3EjZzOrq6oRpQS6XixtvvJGamhrMZjOjRo3i73//O3PmzAEi33SvXr2a559/nvb2dgoKCpg5cya/+c1v5FtuIQYos9nM+PHjI2s6n3gCHn6YUChEZ2cnra2tCfObXS4XZrMZj8eD2+3G7XZTU1MTe/zkk09mxowZQCSIvfHGGwnha/dF/h4MEDljoG0bNAzwcHXWAzDlh6A7yMXwA4yiKGjTjGjTjJhGxo1yBcMEGrvWcsVGuZwBgs0egs0ePGtaIo2HXQu//AxtqgFthgmd3RS71mUY0dpNkSmGGpliKA6MYjBQ9NST7Pr5Pfg2bGDXHXdERrF+dS/6Q/zyTKfRceWYK5lVOov//fJ/eXf7u7y44UXe2/Eed0y+g+8OPfQQJ45uB1STMv7DyK9+9StuvfVWNm7cSGFhIUOGHPw0iZtuummv0wA//PDDhPv3338/999//17PZTabWbRo0UH3RQgxMOyeEhi/NgugsLCQn/3sZ3g8Htrb22lra0u4xE//bW1tZcuWLT2e32KxcNpppzFt2jQgUtimrq5O1nodbrljYOPbkZGrgS6zPNk96HeKToOhIAVDQeK6l1Cnv1uJ+GBtG6rGQMjhJ+Tw49/ewzYmGgVtujGyybLdhDbDmBDCNCl6+SAremQaM4ah/++fND/9NM1P/QnnkiVUffkluXffje2C8w/59ybHksPvTvsdFw6/kAeWPcB2x3bu+uQuXtv8GvdMu4ey9LI+eifiaHNIBf/T09NjH0yEEOJwMpvNmM3mfa6lzMjI4LzzzusWwHaPesVvzVBfX89ze6z1ih/pKi8vj42oiz6UE13rMJDDlar2XPb8KKJNNaBNNWAa3lVhTZ09m/CLrxJs9RJq8xJs9UWvvQTbvITafRBSCbV6CbV66WlltKLXoLWb0GWY0NrjQlj0mMYs+xIdzRS9nuyKClJnnEnd3XfjXbeOurvvxjhsGOZj+mY7hBMKTuBfs//Fc2uf4+nVT7O8fjkXv3kxV4+9mh+N/xFmnblPXkccPeSvlhDiiJWWlsZxxx3X7bjX66WtrY3U1K759YFAgIyMjIS1Xi0tLbHHzznnnFi4qqmpYeHChd2mGmbqdKTIxskHJidS7ITG9RAOw0AcMXz2u2C2w8zfHBWjV72lANoUA9oUAxR3L02shlVCDh+hVh/BaOgKxV2HHH7UQJhgo5tgo7vn1zDp0MWPdmV0BS+d3XhopeTFoGEaOYLSf75Cy1+fIdhQ32fBajeD1sCPxv+I7w79LguWL+Djmo/5y7d/4Z2qd7hr6l2cXnx6n76eOLJJuBJCHHVMJlO3Ea9hw4Zxyy23EAqFcDgc3Ua74reHaG5upqamJmGtFwDjx2P5/e/57ne/y7hxkX/8A4FApIqbTv7c9iizHLQG8DuhYyfYD6zqbL9z1EH154ACsx9Ndm8GFUWjoEs3oUs3YcTW7XE1GCbY7iO0e6Qreh1sixwLuwKo3iCBXUECu1w9voYmVZ+41it+6mG6EUU7AMO6OCiKTkfWj3+UcCywaxcNCx4k9+670BcUHPJrDEkdwuNnPM5/d/6XB5c/yC7XLm757y1MHzKdO60Big75FcTRQP61F0KIOFqtNjYStTdlZWVccsklCeGrtbWV9tZW3G43ZnPXNJL169fzn//8h6ysLHJzc8nLyyM3N5fc3NyEkbOjllYPYy4AnQHo1Z72h9eWxZHrwuMGdqn4QUjRadBnmdFn9TztKuwLJU4zbO0KXsE2L6ovRLgzgL8zANWd3U+gAW2aMWG0Sxsd8dJpzciY1+BX/8ADON9fguuzz8i5807S51xyyDMHFEXhjOIzOD7/eJ5e/TTPr32eD2s+5JOZMPPjO5k3dp6Ubhf7JOEqTmVlJZWVlYRCoWR3RQgxgKWlpTFmzJhuxwPnn0/jE0+QldX1Iby5uTm2N1djYyPffvtt7DGr1cqcOXMoLi4GIkU1tFrt0TfKdfGfk92DvdsULZA0fGZy+3EU0hi1aPIimxvvSVVVwu5gJHy1ebtPPWzzQlAl1O6LrP2iI/EEI29C89tlGAqsXZso56egyzJLdcNBJOf22wm1tuFZsYL6X/8ax8KF5N//GwyHUGRtN4vewm3H3cZ55efx+y9/z2e7PuPdbe/y7rZ3OSH/BK455hqm5U2TaeCimz77F/y1117j17/+NatXr+6rUx52FRUVVFRU4HA4sNm6T2EQQoh90asqhYWFCcdOP/10jj32WBoaGmhoaKC+vp6GhgZaWlpwuVwJo1dffPEFH330EdnZ2QmjXHl5eQmbLovDJOiHqg8jtwfh/lZHMkVR0Fr1aK16DEO6jwCrYZWw0x8d9YqOdsWv+Wr3Ee70493ox7uxreuJOk1kL688K4Z8K/qCFPT5VjSmo+wLj0HCOHQoJS/8jbZ//IPGh/+A+4svqJp9Pjnz52O//DKUPljDWZ5ezlNnPsX6K2fx7HUTeG/7eyytW8rSuqWMzhjNNeOuYUbJDHQa+R0REQf0m/CnP/2JxYsXYzAYuPXWW5k2bRoffPABt99+O5s2beKqq67qr34KIcSgpChKrKT8yJEjY8f9fj+NjY0JpeZ3j3LtDmLxX1alpKRw7bXXxtp7PB4MBkNCxcNBLeiH9h2QNTzZPelS/XlkLZg1B/InJrs34gAomq59vIyl3R8Pn38xgUefjZSWr3PGSsyr/jCBGieBGifxJTa0dmNk8+T8aOjKt6K1m2SUawBQtFoyrrqKlOnTqbvnF7i//JKG++8HBTJ+8IM+e53RHUZ+d+rvuGXSLbyw7gVe2/wa61vX89OPf0phSiFzx87lgmEXSHVB0ftw9eCDD3Lvvfcyfvx4NmzYwOuvv84999zDY489xq233sqPf/zjfa5REEII0cVgMHTbH/Ciiy7ijDPOSBjhqq+vj5WPjx/lWrhwIWvWrCEnJye2hmv3SJfFYjncb+fQdNbDH6JVA39eF11/NQBsjq63Gn7mwKxiKA6aRg1gLEnDWNJV5VANqwRbvV1hK3oJtfsItUUu3nVdFUQVoxZ9Xvy0wsgURo3hCPnCY5AxFBdT/PxztL38Mh3/eo30iy/ul9cZkjqEu6fdzfUTrufljS/z0vqXqHXW8sCyB3hi5RNcPupyLh11KXaTfCY+WvU6XD377LP8+c9/Zu7cuXzyySecdtppfP7552zZskWmqwghRB9QFCVWTGPUqFGx4z6fj7a2toRRqpaWFkKhEHV1ddTV1SWcx2azccstt8Tau1wuzGbzwN0YOSUX9FbwdUDLZsgdm+weRWSPguITYMRZye6JOAwUjdJVYOOY7NjxsDuAPy5sBepdBBpcqL4Q/h0O/DviNk9WQJdpTgxc+SlobQZZm3MYKBoNGZdfjv3SS2NTAtVQiIbf/hb7FVdgLOu7jYHtJjs3TLiBq8dezetbXue5tc9R66zliVVP8MyaZ7hw+IVcNeYqhqQe+vovMbj0OlxVV1dzxhlnAHDKKaeg1+u57777JFgJIUQ/MxqNCaXgAa655hra29u7jXK1t7ej0+kSgthLL71EfX19bJQrvmJhfGXDQxEKhWKXYDCIoiikpKTEHq+trcXv98cej782GAyMyxkNO7+AxvUsrXLgcDgSzrf72mKxMHv27Nh5X331VTqHDyfv3XfJy8sjPz+f7OzsvpkueeyVkYs4qmksekzl6ZjK02PH1JBKsNlNoM4VF7ychDsDBJs9BJs9eL5tjjuHLm6UKzK9UJ9rQdEN0C88Brn4tVZtf/87bS++RPur/yLr5pvInDcPpQ+LBpl1Zi4ddSnfG/E93q9+n2e+fYb1ret5acNLvLLxFWaVzOLqcVczJrN7ESRxZOr1b5fP58NkMsXuGwwGMjIy+qVTQggh9k2j0ZCRkUFGRgajR3eVBfZ6vTidzth9VVVpb28nGAyya9cudu3alXCeIUOGcO2118buv/766/h8vligiQ83ubm5XHDBBbG2jz76aCwEqWpiGfWCggJ+9KOuPWn++c9/0tGxR8W2qKysLMaVRMNVw1pWbGygqampx7ZpaYmb1ba1tVGbmsqOZctix7RaLTk5OQwZMoRzzjmnx/MIcSgUrYI+14o+14plYtfxUKc/bkqhE3+di2CTh7A7iK+qA19V3H8DGgVdtjm6hisFfbRyoTZlgEyLPUKkzpyJ89PPcH3yCU3/9zCd7y0m/7f3Yxoxok9fR6fRcVbpWcwqmcXy+uU8s+YZPt/1Oe9uf5d3t7/L8fnHM2/cPE7IP0FGMY9wBxTdf/nLX8bm8vv9fu6///5uVfUefvjhvuudEEKIA2IymRK+CFMUhfnz59PW1hYb4do9ytXR0dFt5GrdunX4fL4ez73naFAgECAYDPaqX5mZmej1+tioWvy1zWaDbGOkYeM6Jk68BZfLFWsT3z7+vQF897vfpemee6i/9FLq6uqor6/H5/N1myoJ8Morr6DVasnPz4+Ncu11fdq2jyF3HFjkS0TRe9pUA9pUA6YRXett1GCYQIM7oXiGv86F6gkSbHATbHDDyq4vEzSp+m7FM3RZFhStfCA/GPr8fIqe/hMd//4PDQ8+iPfbb9l28ffIvvEGMq+9FkWv79PXUxSFafnTmJY/jQ2tG3h2zbMs2r6IL+q+4Iu6LxiVMYp5Y+cxs3SmVBg8QvX6/9VTTz2VjRs3xu6feOKJVFVVJbSRJC6EEAOPRqMhMzOTzMxMxo7tWs/k8Xi6BakZM2agqmq3UKPVarsFkXnz5kVKYu8RljQaTbd/D/ZbTXb7p5HrxnWcdPlJvX5vhYWFFLa2wlmRdVGqqsaCZHwfgsEgGzduJBwOs2bNmtjxtLQ08vPzKS8vZ+rUqZGDfjf84/sQ8sPNKyBjaK/7I8SeFJ0GQ2EKhsIUIBeI/J6GOvzdimcEWzyEOwP4OtvwbYovER8dKcuzYrBPwlDrRJ9nQdHKtMLeUBSF9IsuxHrSSdT/+tc4//tfmv74KP7qnRQseKDfXndUxigeOvUhbjm2q8LghtYN/OyTn/HoN49y1ZiruGDYBVj0g6wIkdinXoerDz/8sB+7IYQQ4nAzm83dRq6mTJnS6+f36dTwnOh6hPZq8HWCsfveRb2hKEpsuuSexy+77LLY6FZdXR1tbW04HJH1XTqdLhauwts+5uXgLLIMQfJqOskPNZGZmTlwC4KIQUdRFHTpRnTpRsyjM2PHw/5QpGBGXeJF9YcI1DoJ1Dpx58+Ax75B0WvQD0nBWJyGoTgVQ3Ea2lSZUrgv+twchjxRieOtt2j43e/ImHf1YXndwpRC7pp6F9ePj1QYfHH9i9Q6a1mwfAFPrnqSy0ZdxqWjLiXDJCPlR4KDHo9sbo4s1MzKyuqzziRbZWUllZWVhEKhZHdFCCGOLpYMmHwN2IZAuO//Bmu1WoYPH87w4V37aHm9Xurr66mvr08IY21r3mcTZWzyA6+9BoBeryc3N5f8/HxGjhzJsGHD+ryPQmgMWozFaRiLE0vEh9q8kemEu5z43/gIf9YIVG8Q/zYH/m1d1Qq1diOG4jSM0bClL7DK6NYeFEXBdt55pM6ahcbQFUbbXnoJ0zHjMY/rv2ql6aZ0rp9wfUKFwRpnDU+uepJn1zzLBcMu4KqxV1GUWtRvfRD974DCVXt7O/fccw+vvPIKbW2R4Wq73c6ll17K/fffn7AZ5mBUUVFBRUUFDoej21oyIYQQ/ezcPxzWlzOZTJSWllJaWtp1UFUx7/iA8zBTP/wK6jx6GhoaCAQC1NTUUFNTg8lkioUrp9PJ4sWLY+u48vLyuq0LE+JQKBoFXaYZXaYZ87gsePwW1EdfJ9jswV/twF/dib/aQaDBTajNh6etCc+q6BounQbDkBQMxamxES5tmjG5b2iAiA9WnjVrqb//twBk/vCHZFXciMbYfz8nk87EnFFzuioMrnmGdS3reHnjy/xz0z+ZWTKTq8ddzdjMAbIthTggvQ5Xra2tnHDCCdTW1vKDH/wgVp1q3bp1PPfccyxZsoTPP/9cNhIWQggxeDVtxOLYynFaI3x/LhgshMNhWlpaYlMKy8vLY83r6upYtWoVq1atih2z2+3k5+fHRrlycnKS8U7EEUzRKOhzLOhzLFgnR7ZpCHuD+Hd2xsKWf2cnYXcQ/3YH/u0OnNQCoE03xqYRGopTMRSkHPUl4fUF+aTNmonjnXdpefppOpcsoeCB32KeMKFfX1er0TKrdBYzS2byZf2XPLP2GT6r/YyF2xeycPtCpuVP45qx13BCgVQYHEx6Ha7+53/+B4PBwNatW8nNze322MyZM/mf//kf/vCHw/vNoxBCiCNEOARt26GzHkp7X9SiT21+L3I99BQwRBaZazQasrOzyc7OZvz48QnN7XY7p512Wmwdl8PhoK2tjba2NtatW0dKSkosXDU2NvLtt9/GRrnsdjvycUn0FY1Jh2m4HdPwyJfcqqpGR7c6YyNcgXoXoXYfnnYfntXRfbh0CoaClK6wVZKGznZ0jW7pMjIofPhhUs8+m/r7/gf/1q1sv+xyMubOJfvWW9D082i0oihMzZ/K1PypbGzdyHNrn+Pdbe+yrG4Zy+qWMdI+knnj5jGrdJZUGBwEev3/0H/+8x/+9Kc/dQtWAHl5efzud7/j+uuvl3AlhBDi4NSvhqengzkD7qyCZHxTuztcDZ/Zq+ZZWVmcfvrpsfsulysWtOrr6xkyZEjssW3btvHJJ5/E7huNRvKGDyd/4ULy8vIYNmxYwsbLQhwKRVHQZ1vQZ1uwHhf57Bb2BfHXOCNha0cn/p0Owq5gNIB1xp6rTTNgKOkqlGEoSEHRH/mjW2lnnoll8mQaFizA8cabtD77LO5lyyh99f8dti9CRmaMZMEpC7h50s28sO4F/rX5X2xs28hdn9zFoyse5aqxV3HhsAulwuAA1utwVVdXl1DCd0/jxo2jvr6+TzolhBDiKJQ1ElDA0wrORkjt/mVev7voadjyPpSfcVBPt1qtlJeXJ0wd3C0nJ4dJkyZRX19PY2MjPp+PHamp7PjiCyBS2n53uKqurqauro68vDxyc3NlHZfoExqjDlN5OqbydCBaEr7Fi29nJ/4djsjarXoXIYcfz7fNeL6Njm5pFfQFKbFCGYbiVLTpxiNyqprObqfwd78j7ayzqf/1r7FdfBFKEiqFFqQU8LOpP+P6Cdfz8oaXeXHDi+xy7eLB5Q/y5KonuXTkpVw26jIyzZn7P5k4rHodrrKysti+fXvCt3Dxtm3b1rdleYUQQhxdDBbIKIPWrdC4NjnhKq0Ajt3PnlwHaejQoQwdGtkzKxgM0tzcTN1dd1E/Zw719fUJM0PWrl3LsmXLYvftdnusYEZ+fj6lpaUYDFJ2WxwaRVHQZZnRZZmxTopMXw37QwRqOvFVd63fCjsDBHZ2EtjZCZ/tAkCTaugKWyWpGApTUPTafb3coJJ6xulYpkxGY7XGjnW8+SbO/35I5nXXYorWHuhvNqONH0/4MXPHzuWNrW/w3Nrn2Nm5kz+t/hPPrX2OC4ZdwNwxcylKkwqDA0Wvw9WsWbO45557WLx4cbc/6D6fj1/+8pecFd3EUQghhDgouWOi4Wr9QY8eDQY6nS4Sllpb4eyzuz2el5fHiBEjqK+vT1jHtX79egBuv/322L/FW7ZswePxkJeXJ/txiUOmMWgxlqVjLEsHoqNbbT781Q58OyKFMgK7XIQ7/XjWtuBZ2xJ9ooK+wJq475Z9cI9uaVO79ttTVZWWp/+Mb/NmHO+8g/Xkk8m89los06Yelvdo0pm4ZOQlXDz8YpZUL+GZNc+wtmUtr2x8hf+36f9xZsmZzBs7j7FZUmEw2Q6ooMXkyZMZPnw4FRUVjBo1ClVVWb9+PU888QQ+n48XXnihP/sqhBDiSJczBta/CQ3rDu/rhsPwr2ugaFpk5Mpg3f9z+tGkSZOYNGkSEFnH1dDQEFvH5XA4SI370Lds2TI2b94MREJbbm5ubIQrLy+PgoICCVzioCmKgi7DhC7DhGVi3OjWLif+HZ34qiPTCcOdAQI1TgI1Tvg88lxNij42jdBYnIpeo2ew/iYqikLBQw/R8pe/4nj3XVyfforr008xjR9P5rU/JHXGjMMyfVCr0TKzdCZnlpzJVw1f8cyaZ/i09lMWbV/Eou2LmJY3jXnj5nFiwYmDOtgOZr0OV0OGDGHp0qXceOON3H333aiqCkR+2c4880wef/xxiopkSFIIIcQhyBkTuW5ce3hft34VrP03bF4c2cx4ALFarZSVlVFWVtbj4/n5+Xg8nth+XLW1tdTWRspuGwwG7rrrrljbDRs2oNfrycvLw2pNboAUg5fGoMVYasNYaiOV6OhWuy9WldBX3Ulgl5OwM4B3XQveddHRrVG3oV2wDF1OpNCGLjd6nWNGmzLwp7maRo+m8P/+l+zbbqX12Wdp/9dreFevpvaWW7FdcAEFDy44bH1RFIUpeVOYkjeFja0beX7t85EKg/XLWFa/jBH2EbEKg/rD1isBB7iJ8NChQ3n33Xdpa2uLfUs2bNiwI2atVWVlJZWVlYRCoWR3RQghjk650SktjRsio0mHa8Rl8+LIddl00A2uMtRnnHEGZ5xxBuFwmNbWVurr62MXnU6XMGq1ePFiWloiH3RTU1MTRrjy8vKOmH/PxeGlKAo6uwmd3YRlQmR0Sw2E8e9yRgpl7Iys3Qp1+GMX3+b2hHNorDp02Rb0uZbIdU4kfGnTDANuBMZQVETevfeSVVFB6wsv0PbiS6Sdc07s8VBnJygK2sNU/XNkxkgeOOUBbp50M39b9zf+tflfbGrbxN2f3M2jKx5lzggv57oayLUmYR3rUeigiuXb7XamTp2acExVVZqamgb1ZokVFRVUVFTgcDiw2WzJ7o4QQhx97EPhtJ9BzmhQQ3C4JhFtWhS57mUJ9oFIo9GQlZVFVlYW48aN6/Z4OBwmLy8PVVVpbW2ls7OTzs7O2Jelubm53HDDDbH269evJz09nezsbHQ62VtHHBhFr8FYkoaxJC12LHzB9wn88a8EG90EGt2x61CbL1IS3hXZ8DjhPEYtumxzJGxFN07W51jQZphQNMkNXbrMTHJuu43Ma69DY+0qjd7y17/S9uJL2C+7jIwrr0CXlXVY+pOfkh+rMPjKxlf4x/p/UOeq45Fj4I+vnsm0/GmcV34eM4pnSCn3ftTrv5YWi4UdO3aQnZ0NwDnnnMNf/vIX8vPzgcjmiAUFBTLqI4QQ4uBpdXD6zw/va7qaofbryO3hZx7e1z6MNBoN3//+94FIIaqGhoaEPbkKCgpibUOhEK+++iqhUCi2iXJ8tcLc3FzMyXojYtDShH3dAhdE1nAFmzyxsLU7eAVbvKi+UNdarng6BX2WORa4YtdZZhTd4V3ZpU3pmmKrqiruL5YRdjho+dOfaH3uOWwXXUjmNddgOEzLZ2xGGz8a/yPmjp3L21Vv8/obD7Aiy8cXdV/wRd0X3K+7nxnFMzi3/Fym5U1DqzlyqjwOBL0OV16vN7bOCuDjjz/G4/EktIl/XAghhBgUtiwBVMg9JlKK/ShgNBopLi6muLi4x8c9Hg9FRUXU19fj9XppaGigoaGBVatWATB69GjmRNuGQiE++ugj0tPTYxebzYZWKx/YRO9oDFoMhSkYChOn0anBMMEWD4FGT+JoV5MHgmEC9W4C9W4SPo1qQJexO3SZE6Yaaoz9/zupKAolL/6DziVLaPnzX/CuXk37Sy/T/so/STvrrMNaxt2oNXLR8Iu46KPn2PmPSt6qeou3tr5FdWc1b1a9yZtVb5JjzuGcsnM4r/w8htuHH5Z+Hen6dJx/oM2JFUIIMQh52qHmSwgFYNR3+//1NkenBI4YvFMC+1pKSgpXX301qqrS0dERW8O1e5QrLy8v1tbhcPDxxx8nPF9RFNLS0khPT+eYY45h8uTJQGRqosPhIC0tTSoYiv1SdBr0uVb0uYnFV9SwSqjNS2D3aFeDm2BTJHyp3hDBZg/BZg/ePYqOatON0WIa5kgxjZxI6NJa+7bkg6LRkHbmmaTOmIF7+Ze0/OUvuD75BMc776BJTSX/vl/36ev1RlFqETdMuIHrx1/PqqZVvFX1Fu9ue5dGTyPPrn2WZ9c+y6iMUZxXdh7fLfsuWebDM5XxSCSTqIUQQgwsNV/BP74HWSMPT7hSVdAaBvV6q/6iKEpsNGrUqFGx4+FwGP7v/4DIdMPJkyfT1tZGe3s77e3thEIhOjo66OjoSBgd6+jo4I9//CMajYa0tDTsdnvCiFdBQUFs+YEQe6NoFHSZZnSZZhjVVYRFVVXCnf7oCJcnYV1X2Bkg1O4j1O7Dt6kt4XyaFH20iEbi2i7NIRbTUBQF67SpWKdNxbt+PS1/+SuZ18yLPe7dtAn/jh2kfuc7h6WM++4+TcyZyMScidw55U4+qfmEN7a+wce1H7OhdQMbWjfw8NcPc0LBCcwun83pRadj0pkOS9+OFL0OV4qiJPyC7XlfCCGE6BO50XLsLVsg6Ov/6n3ffxZ8TtDLKqLeih91stlsnHvuubH74XAYl8tFe3s7bW1tCWHJ6XSi0WgIh8OxIBbvlFNO4Tvf+Q4QCWKvv/56QvjaHcZSUlLkM4joRlEUtGlGtGlGGGZPeCzsDiSErt3BK9TuI+wM4Hd24N/WkXg+ozYWtgz2SRgbXOhyLAf1u7e7jHu85ieepHPhQgxDh5J57Q+xnXceiuHwlaQ3aA18p+Q7fKfkO7R721m4fSFvbn2T1c2r+bT2Uz6t/RSr3srMkpmcV34ex+Ueh0aREef96XW4UlWVESNGxH6hnE4nkyZNiv2BlfVWQggh+kRqPpjSwdsOzZsg75j+f03j4SmZfDTQaDSkpqaSmprabf/LoqIifvGLX9DZ2RkLV/GX3NyuUtGtra1UVVX1+Bo6nY4zzjiDE088EYisEdu6dWssgFksB/cBWBy5NBZ9bG+ueGFfKDKlsMlDsCEauprcBFs8qL5QpIz8zk7c+TPgDyvQpOgxlqdjLLNhKk9Hm2k6qN81VVUxlpXhSkvDv20bdff8gqZHHyNj7lzSL7kkoUjG4ZBuSufSUZdy6ahL2d6xPbI+q+otap21/HvLv/n3ln+Tb83n3LJzObf8XMpsPe+7Jw4gXD377LP92Q8hhBAiQlEimwlXfw4N6/o3XDmbIEWmoR1OGo0Gm82GzWajpKRkr+2ysrI4//zzuwUwh8NBMBjEEPcNf0NDA6+++mrsvl6vTxjxGjduXOy1dn8ZLNFLAGiMWgxDUjEMSU043lVMI1I0w//6J/jShxJ2BvCsasKzqgkArc0QDVvpGIfZ0KX3bgqdoihk33IzGddcQ/s//0nrc88RbGig8Xe/o/mpp8iuuJGMuXP7/P32RqmtlJsm3cSNE2/km8ZveHPrmyzavog6Vx1//vbP/PnbPzMucxznlZ/H2UPPxm6y7/+kR5Feh6uhQ4dy4oknyl4XQggh+l9uNFw1rtt/24PVUQt/GAP5E+GHi0F3+KbjiP1LTU1l0qRJ3Y7vXs9lMnV9iFUUhaKiItrb2+ns7CQQCNDU1ERTU+QDcG5ubixc7dixg/93zDEUvvgihYWFsYvZLNNCRZeEYhrHAI/djPrIf/BXO/Bu7cC3tR3/zk5CHX7cKxpxr2gEQJthwlSejrHchrEsHW3avv+uaFOsZF4zD/sVP8Dx5pu0/OWv+LdtQw0nf0aYRtFwXO5xHJd7HHdNvYsPaz7kza1v8lntZ6xpWcOaljX8/svfc/KQkzmv7DxOKzoNo3ZwbcLeH3qdlE4//XTq6uoG9SbBQgghBomcaKni/gxXWxZHrrV6CVaDiFarJSMjI+FYSUkJP/zhDwEIBoN0dHTE1ny1t7czZMiQWNv29nZcej2bNm1i06ZNseOZmZkUFhZy/PHHJ+z5JcRuik4TGaEqS4czSwj7Q/h3OPDtDlu1nYRavbha63F9WQ+ALtscGdnaHbb2UplQYzCQfvHF2C68kM4lS7CecGLsMcfChXS+t/iwlnHfk0ln4qzSszir9CxaPC28u+1d3qx6k3Ut6/hw54d8uPNDUg2pzCqdxezy2UzMnnjUTs09oDVXR7rKykoqKytlI2QhhEi2nLGR64Z+DFeb3otcD5/Vf68hDjudTkdmZiaZmZk9Pj527FgyH3yQ2ttuo7a2ltraWlpbW2lpaaGlpYWJEyfG2lZVVbFhw4bY6FZGRoaUkBcxGoMW03A7puGRaXFhbxDfdge+re34qjoI7HJGNkdu8uD6og4AfZ41ErTK0zEOtaExJ34U313GfTdVVWl++ml869bjeOcdrCefTOZ112GZOiVp4SXTnMkVY67gijFXsLV9K29ufZO3qt6iwd3Aq5te5dVNrzIkZQjnlZ/HeWXnUZR2eDZPHigOaI7fkZ5AKyoqqKiowOFwYLPZ9v8EIYQQ/SNvHFzwVFflwL4W9EHVh5Hbw8/cZ1NxZNHr9RS53RQdf3zsmNvtjgWt+FGrzZs3s3z58th9k8mUMJVw6NChCWu/xNFNY9JhHpWBOVoePuwO4NvWgW9rB96t7ZGCGfUuAvUunJ/tAgX0hSkYy9MxldkwlNq6bXSsKAoF999Py1/+imPhQlyfforr008xjR9P5nXXHtYy7j0pTy/ntuNu4+ZJN/NVw1e8sfUN3t/xPjXOGp5c9SRPrnqSidkTOa/8PGaVzsJmPPI/Xx9QuLr66qsxGvc9l/K11147pA4JIYQQGFNh4mX9d/4dn0PABSl5kD+h/15HDAoWi4Xhw4czfPjwhOPDhw9HVVVqa2upq6vD6/WydetWtm7dCsBtt90WC1c1NTWEQiHy8/MlcAkgUqHQPDYL89jIhrwhpx9fVWQKoW9rB8FmD4EaJ4EaJ86PakCjYChKjU0hNJakoui1mMaMofDh/yP7tltpefZZOl77N97Vq6m9+RbSZp9H4e9+l+R3ClqNlmn505iWP417pt3DBzs/4K2tb7G0bikrm1aysmklDy5/kOlF0zm37FxOKTwFvbZvN28eKA4oXKWmpsqCTyGEEIPf5t1TAmdEqhMK0YOysjLKyiIlp0OhEA0NDQlTCeNnuXzyySds3LgRRVHIzc1NGOHKzs6W6YQCbYoBy/hsLOMjFUpDHT68VR34trTj29pOqN2Hf4cD/w4HnR/sBJ2CsTgttmbLMGQI+b/6FdkVFbS+8HfaXnqJtLPPjp0/5HRFX+fwlnHfk0VviZRsLzuXRncj71S9w5tVb7KpbROLdyxm8Y7FpBvTOav0LGaXz2Zc1rgjanbcAYWrRx99VApaCCGEODxatsKW98GSCcd8r2/PHQtXM/v2vOKIpdVqKSgooKCggClTpnR73Gq1kpKSgtPppL6+nvr6er7++msgMjJ2xx13xAKW1+tNqHYojk5amxHrpByskyKfrYOt3uioVjveqg7CjuhIV1UHLAZFr8FQGglb6d/7IRk/vBZtiiV2vtbnn6P1+b9hv/wyMq68Et1e1h0eTjmWHK4edzVXj7uaja0beXPrm7y97W2aPc28vPFlXt74MqVppZxXfh7nlp1LQcrgLybT63B1JCVKIYQQg0DNl/DunVByUt+Gq3AYpt8dCVhlp/fdecVRbfbs2aiqisPhiI1u7b7sWQjjmWeewePxJIxuFRQUSOA6yukyTOgy8rBOyUNVVYLNnlglQl9VO2FXEN/mdnyb23EAilGLcWikOIahLA3XZ58TdjhoeepPtD77HOkXX0zGNfMYKJNUR2aMZGTGSG477jaW1S3jzao3WbJjCdsd23nsm8d47JvHmJw7mfPKz+PMkjNJNaTu/6QD0ICoFlhZWcnvf/976uvrmTBhAo899hhTp07tse1rr73GAw88wJYtWwgEAgwfPpzbb7+dK6+8ssf2119/PX/605/4wx/+wG233dZv70EIIUQf212OvWEtqGrfTd/TaCJhra9Hw8RRT1GU2AbJY8ZEirGEw2HcbnesTSAQoLm5mXA4zIYNG9iwYUPssezsbEaPHs0ZZ5xx2PsuBhZFUdBnW9BnW0g5Ph81rBJsdOONrtfyVXWgeoN4N7Ti3dAKgGHUTZiO8+Fb/yneVR/Q9uKLtL3yCikmE/aPPiLltNOS/K4idBodJxWexEmFJ+E63sXiHYt5a+tbLK9fzlcNX/FVw1c8sOwBTi86nfPy3JwUDqHVaPd/4gGi1+Hqv//9b7d9JfrCK6+8wvz583nqqaeYNm0ajzzyCLNmzWLjxo09TkHMyMjgnnvuYdSoURgMBt566y3mzZtHTk4Os2YlltP997//zRdffCH7VQghxGCUNRIULXjbobMO0uRvuRh8NBoNKSkpsft6vZ677rqLurq62MhWTU0NHR0dNDU1kZ+fH2sbDod54YUXYmu4hgwZQjogc4mOPopGQZ9nRZ9nJfWkQtSwSmCXs6tAxjYHYXeQsFuLNus0rN85DTXsIbjrW/wdO3F8sBF90QS0NiOaVD2KBhTdAa0O6hdWvZULhl3ABcMuoN5Vz1tVb/Hm1jep6qhi4faFLD9Ow/uE0XIEhquHHnqIl156KbZ488EHH+T6668nPT0dgJaWFk455RTWrTuwPUkefvhhrrvuOubNmwfAU089xdtvv80zzzzDXXfd1a399OnTE+7feuutPP/883z66acJ4aq2tpabb76ZRYsWcc455xxQn4QQQgwAehNklkPzpshmwn0RrvwuWPanyFqr3LFSzEIkhcFgoKSkhJKSktgxp9NJbW0tFkvXGpqmpia2bdvGtm3bYsdsY8cybvFijjnmGHJzc2XZxlFK0SgYhqRiGJJK6qlDUENh/DVOfFXRka3tDpSgGf2QqTBkKmEfND39bez5qt+JYlLR56VjKM5BazOitRnQ2ozoorcV/eENNHnWPK495lp+OO6HrGtdx5tb38T2r7fRawZXVcFeh6tFixbh8/li9x944AEuueSSWLgKBoNs3LjxgF7c7/fz9ddfc/fdd8eOaTQaZsyYwdKlS/f7fFVV+eCDD9i4cSMPPfRQ7Hg4HObKK6/kpz/9KWPHjt3veXw+X8J7czgcB/Q+hBBC9JOc0ZFw1bAOhs049PNt+xiW3AdfPwu3rj708wnRR1JSUhg5cmTCsbS0NC688MLY6FZ9fT0dRiOfffYZn332GaeffjqnDZCpXiK5FK0GY0kaxpI0OB3UYBh/dSe+qnaCr75L6NgTCTn8BNt9EAyjGFIgDIFdIQK76no8p8aii4auruC1532Noe8DmKIojM0cy9jMsXD/531+/v520Guu+mINVnNzM6FQiNzc3ITjubm5CXOQ99TR0UFhYSE+nw+tVssTTzzBmXG7WT/00EPodDpuueWWXvVjwYIF3Hfffd0fmDMH9AMgLS9fDrNnJ7sXB0f6nhzS9+SQvve9vO1QALz8ODz0fs9tDqTvRZsgG9gUhPPP76NOHoKB+nPvDel7vzMDE6IXAL+isLmpiW+nTmVzWhplTz4J//d/ANRaLOxISWFsWxu2QCBZXd63QfJz79Eg67sCGKMXli+HXZFaBioQ0hhxBfU4g3q8mMBsR2O2o5jsaC12NJYMVI0hOs0wSKDOtffXCXnQBZxoAw60QSfaQGfkEuyM3daoh/D7OFB+7gfw31TyJ1sehNTUVFauXInT6WTJkiXMnz+fsrIypk+fztdff80f//hHVqxY0euh8rvvvpv58+fH7jscDoqKiuCVVyAtrb/eRu/Nng1vvJHsXhwc6XtySN+TQ/re99a/Ca9cAWNz4bG99K+3fVdV+MM4cAC3/RFGDIAy7AP1594b0vfDzgCMnT2bsY88gtfrxWg0xqa2fv3GG6xYsYL3hgyhpKSEcePGMWbMGKzW5O55lGCQ/tyBI6bvCpEP/7boJezx4PzwQzreehvnx/9An5ND2eL3wBsi5PDjWrYaTWo2alBHqMNPyOEj1OEj1O5H9YdQtWYCWjMBU/ZeX14xaWMjXrpuo2DRETDTXiLJQPm5OxwQt6/dvhxQKfY9w8qhzvPNyspCq9XS0NCQcLyhoYG8vLy9Pk+j0TBs2DAAJk6cyPr161mwYAHTp0/nk08+obGxkeLi4lj7UCjE7bffziOPPML27du7nc9oNEb+QAkhhBhYSk+Ga97rqhx4KBrXg6MGdKbIeYUYxPYs215SUkJzczPV1dXs2LGDHTt28O6771JWVsa4ceM45phj0GoHT1EAcXhozGbSzj6btLPPJtTRgb96Z2TbAIsGRafS+MBPCDmdWE88Edu552CbMyO2SXHYG4wErQ4/oQ4fwfZo8HL4owHMh+oLoXpDBL1ugg1ufHvph2LU9jD90IDOWsJg26DggKYFXn311bEQ4vV6uf7662PfiMSvWeotg8HAcccdx5IlS7jggguAyHqpJUuWcNNNN/X6POFwOPb6V155JTNmJM7LnzVrFldeeWWsaIYQQohBwmyH4ml9c67NiyLXpaeAwbLvtkIMMhMmTGDChAl0dHSwZs0a1qxZQ11dHVu2bKGlpYUJEybE2obD4YR9t4QA0NpsmI/pGp0JNDahLyoitGYNrk8+wfXJJyhGIymnn47t3HOwnnoq+lwr+ty9j46GvcGEsJUQvjp8BNv9qN4gqi9EsNFNsNGd8Hxt/kzy93LugarX4Wru3LkJ96+44opuba666qoD7sD8+fOZO3cukydPZurUqTzyyCO4XK5YELrqqqsoLCxkwYIFQGR91OTJkykvL8fn8/HOO+/wwgsv8OSTTwKQmZlJ5h47Uuv1evLy8rotFBVCCHEU2bw4cj1i1r7bCTGI2Ww2TjrpJE466SSam5tZs2YNFoslNtsoGAzy2GOPUVpayrhx4ygrK5MRLdEjw5BChr76//Bv307H22/jeOtt/Nu20blwIZ0LF5J14w1k76e+gcakQ2PSoc/Z+xdaYV+oa7phhz8SwhyR25ql3+71eQNVr8PVs88+2y8dmDNnDk1NTdx7773U19czceJEFi5cGCtyUV1dnfDtisvl4sYbb6Smpgaz2cyoUaP4+9//zpw5c/qlf0IIIZJs+2ew/g0omAQTLj24cwS8UL8mcrsvqg4KMQhkZWV128KmqqqKjo4OVq1axapVq7BYLIwZM4Zx48ZRXFwsI1qiG0NpKdkVFWTdeCPedetwvPU2jnfeIe3ss2NtXEuX4vzwQ9LOPRfTuHEHtHRIY9SiiW6Y3M1rdwM39sG7OHwGREGLm266aa/TAD/88MOE+/fffz/333//AZ2/p3VWQgghBold38Cyp2D07IMPV3oT/HQz1HwFGUP7tn9CDCLDhg3jmmuu4dtvv2Xt2rW43W6++uorvvrqK9LS0jjvvPMYPnx4srspBiBFUTCPHYt57FhyfnoHSlwQb3/1XzjefpvW5/+GvqQY2znnknbuORjLypLY4+Todbi65ppretXumWeeOejOCCGEEN3kjolcN64/tPPojFB60qH3R4hBTKPRUFxcTHFxMWeddRbbtm1jzZo1rF+/HofDgS2uIlpjYyOKopCdvfdKcOLopOwxwmmL1k7o/OADAjuqaX7iCZqfeALjmNHYzjmXjKvnohwl0097Ha6ee+45SkpKmDRpUp/scSWEEEL0Sk40XLVuhYAH9OYDe76qxspVCyG6aLVahg0bxrBhwzjnnHPYsWMHOTk5scc/+ugj1q5dS15eHuPGjWPcuHGkp6cnr8NiwEo55WRSTjmZsMtF5wf/xfHWWzg/+wzfuvV0BENk/rBrkCbs9aIxDbYagL3X63B1ww038NJLL7Ft2zbmzZvHFVdcQUZGRn/2TQghhICUXDBngKcVmjZCwcQDe/6uFfDaj2HcRXD6z/uli0IMdnq9PrbNDUSqRKuqikajob6+nvr6et5//32KiooYN24cY8eOJSUlJYk9FgORxmrFdt652M47l2BbG52L3kMT93sSdrnYfPoZWI49lrRzzyX1jNPRWI6s6q29XrVYWVlJXV0dd955J2+++SZFRUVccsklLFq0SEayhBBC9B9FgdyxkdsHMzVw82Jo2Xzo0wqFOIooisIll1zCHXfcwbnnnktpaSkAO3fu5N133+Uf//hHcjsoBjyd3Y790jnYzj0ndsy1bDlhhwPnhx+y64472HTSydTefged//0vqt+fxN72nQMqCWM0GrnssstYvHgx69atY+zYsdx4442UlpbidDr7q4+HTWVlJWPGjGHKlCnJ7ooQQoh4uzcRblx74M/dFN3favjMvuuPEEcJi8XC5MmTufrqq5k/fz6zZs2ioKCAcePGxdr4fD7++c9/smbNGvxHyAfk3dra2tixYwdNJhOhUCjZ3Rn0Us84nbK33yLrxhvQFxejejw43n6bmhtuZPMpp+L8+ONkd/GQHXS1QI1Gg6IoqKp6xPyyVVRUUFFR0W1BpxBCiCTbve6qfeeBPc/ZGJkWCDD8zL7tkxBHmbS0NE444QROOOEEwuFw7PjGjRtZt24d69atQ6/XM2rUKMaNG0d5eTk63eEpTK2qKn6/H7/fj8/nS7gEAgHGjx8fa7t8+XJ27tyZ0Cb+eXfffXds768lS5awZs0aGDMG7QMPkJWVRU5ODjk5OWRnZ1NeXo5erz8s7/FIYSwvJ/uWW8i6+Wa8335Lx1tv4XjnXULNzRjKymPtPGvXYgyHD2wkaAA4oN94n8/Ha6+9xjPPPMOnn37Kueeey+OPP85ZZ50l+yIIIYToP+MuglHnQsoBVi3bsiRynT8BUvP6vl9CHKXiP/cVFhZy8skns2bNGtrb2/n222/59ttvMZlMjBkzhlNOOQW73d7jeUKhUCzUBIPBhMqEGzZsoLW1tVtY8vl8hEIhrr766ljbf/zjH2zZsmWv/R03blyszzt27GDt2r2Pgvv9fszmSOGctLQ07HY7zuZmAkBDQwMNDQ2xtnfffXfs9urVq3E6nbHwlZqaekD7PR1tFEXBPH485vHjyf3Zz/CuWYNhSGHscccbb5AzCH9+vQ5XN954Iy+//DJFRUVcc801vPTSS2RlZfVn34QQQogI00HOJtgsUwKF6G+ZmZnMmDGD73znO9TU1LBmzRrWrl2L0+lkxYoVnHrqqbG2//nPf6iurk4IVLsZjcaEsPLll1+ydevWvb5uOByOBSaj0QhEPrAbjcZul1AoFGt7zDHHUFhY2GO73ZfdZs6cycyZMwnPnk3H88/T2NgYu3i93oS2K1asSNhb1WQyxYJWTk4OkydPlsGIvVC0WswTJsTuq6qKefJklKVLk9irg9PrcPXUU09RXFxMWVkZH330ER999FGP7V577bU+65wQQghx0EJB2PJB5LaEKyH6naIoFBUVUVRUxKxZs9i+fTu1tbUJ5ds7OztpbW3t9lydToder0dV1dhoz9ChQ7FYLPsNQADnnXce559/Pnq9fr+jRaNGjTrg96YB7HY7drudkSNH9thmxIgRWCwWGhsbaWlpwev1Ul1dTXV1NSkpKUydOjXWdsmSJQQCgYQphnu+p6OZoiiknXkmPPZYsrtywHodrq666ioZ2hRCCJE8K1+Cta/BuO/BhDn7b+/vhLEXQO3XUHhcv3dPCNFFo9FQVlZGWVlZwvEZM2Zw2mmnYTAYEoKStocNZk8++eRev55pAOybdOKJJ8ZuBwIBWlpaYqNce36GXrVqFQ6HI+FYeno6OTk5DBkyJGG0TwwuB7SJsBBCCJE0zZtg83tgG9K7cGW2w+xH+79fQohey8/PT3YXDgu9Xk9eXh55ed3XeqqqyvTp0xOmGDqdTtrb22lvb8fr9SaEqxdeeAGDwZAwxTAjI6PHQCqS7/CUcBFCCCEO1e6KgQ3rktsPIYQ4BIqicOyxxyYcc7vdsaC1u5gGRIpr7F53tn591159Wq2WrKwsRo4cyRlnnBE7Hj+tUiSHhCshhBCDQ240XDWuB1WNbC68N64WaNsGBZNAI9/uCiEGNovFQmlpaWyz5t00Gg1XXnllwihXY2MjgUCAhoaGhJHAYDDI//7v/5KRkZEwypVuNGL1eDCZTBK8DgMJV0IIIQaHzOGg0YGvAxy1kemBe7P+dXjrJzDsTLji1cPXRyGE6EM6nY7y8nLKy7v2fwqHw3R0dNDY2IjVao0db21txev1smvXLnbt2tV1krFj4aGHmDx5Mueeey4Q2V7pzTffxGKxYLVaY9e7b6empg6IdWyDkYSrOJWVlVRWVh4xmyILIcQRRWeIBKym9ZGpgfsKV5sXR66Ljz88fRNCiMNEo9HEKhfGy8zMpKKiotsoV2djI36tFovFEmvrdDojmyPvRXwQ83q9vPzyywkhLD6M2e12bLaD3C7jCCThKk5FRQUVFRU4HA75JRFCiIEod0wkXDWugxF7Ka8e9EHVh5HbUoJdCHGU0Gq1ZGdnk52dzdixY7semD2bwL/+haqqsUMmk4lZs2bhcrlwuVy43e6E6/gRMafTmbB/157ig5jH4+GZZ57ZaxDLzs4mJyenz9/7QCLhSgghxOCRMxoMqRD07r3N9k8h4IbUfMg75vD1TQghBii9Xp9w32q1csIJJ+y1fXwQs1qtXHTRRbHgtWcYi9/HzOVy0dTURFNTU4/nnTJlCueccw4QKeLx2GOPJUxHjL+dn59P8SG852SRcCWEEGLwOPEWOOWOfRez2D0lcPiZ+24nhBCiR/GFL8xmM+PHj+/V89LS0rjqqqsSAlj87ezs7Fhbl8uFx+PB4/HQ3Nzc7VxTpkyRcCWEEEL0K51x/202L4pcy5RAIYQ4rAwGQ7eNo/fGbrdzww037DWIFRQU9HNv+4eEKyGEEEeOlq3QWgUaPZRNT3ZvhBBC7IVOpyM3NzfZ3ehzmmR3QAghhDggS/4HHjsO1v6n+2PpJXDNIjjn/8CYeti7JoQQ4ugm4UoIIcTg4myEli3Q0EMZYa0uUn79uLmHv19CCCGOehKuhBBCDC650RLDjeuT2w8hhBBiDxKuhBBCDC45oyPXDWsTj1d9CG/9BLZ9fNi7JIQQQoAUtBBCCDHY5ERHrtq2g9/VdXztv+Hr50Cjg6GnJqNnQgghjnIychWnsrKSMWPGMGXKlGR3RQghxN6kZIM1G1ChaUPkmKrG7W81K2ldE0IIcXSTcBWnoqKCdevW8eWXXya7K0IIIfYlNjVwXfR6LThqQWeG0pOS1y8hhBBHNZkWKIQQYvApOBY87aAzRe7v3ji47DTQm5PWLSGEEEc3CVdCCCEGnzPvi1wAeCFuSuCZSeuSEEIIIdMChRBCDG7aAOxcFrk9fGZy+yKEEOKoJiNXQgghBq9QEIweSC+JTBFML052j4QQQhzFJFwJIYQYnF68FLYuAc0ouOUb8LYnu0dCCCGOcjItUAghxOCkKBDyg9kduW22J7tHQgghjnISroQQQgxOOWMi15bO5PZDCCGEiJJwJYQQYnDKjYarzAb4/PHk9kUIIYRAwlWCyspKxowZw5QpU5LdFSGEEPuze+QKwGRLXj+EEEKIKAlXcSoqKli3bh1ffvllsrsihBBifzKHdd0eNiN5/RBCCCGiJFwJIYQYnLR6qPgS1h8HafnJ7o0QQggh4UoIIcQglj0CPCnJ7oUQQggBSLgSQgghhBBCiD4h4UoIIYQQQggh+sCACFeVlZWUlpZiMpmYNm0ay5cv32vb1157jcmTJ5Oeno7VamXixIm88MILCW1+/etfM2rUKKxWK3a7nRkzZrBs2bL+fhtCCCGEEEKIo1jSw9Urr7zC/Pnz+dWvfsWKFSuYMGECs2bNorGxscf2GRkZ3HPPPSxdupTVq1czb9485s2bx6JFi2JtRowYweOPP863337Lp59+SmlpKTNnzqSpqelwvS0hhBBCCCHEUSbp4erhhx/muuuuY968eYwZM4annnoKi8XCM88802P76dOnc+GFFzJ69GjKy8u59dZbGT9+PJ9++mmszeWXX86MGTMoKytj7NixPPzwwzgcDlavXn243pYQQgghhBDiKJPUcOX3+/n666+ZMaNrfxKNRsOMGTNYunTpfp+vqipLlixh48aNnHrqqXt9jaeffhqbzcaECRP6rO9CCCGEEEIIEU+XzBdvbm4mFAqRm5ubcDw3N5cNGzbs9XkdHR0UFhbi8/nQarU88cQTnHnmmQlt3nrrLS699FLcbjf5+fksXryYrKysHs/n8/nw+Xyx+w6H4xDelRBCCCGEEOJolNRwdbBSU1NZuXIlTqeTJUuWMH/+fMrKypg+fXqszemnn87KlStpbm7mz3/+M5dccgnLli0jJyen2/kWLFjAfffd1/2F5swBvb4f30kvLV8Os2cnuxcHR/qeHNL35JC+J4f0PTmk78khfU8O6XtyDJS+BwK9bqqoqqr2Y1f2ye/3Y7FYePXVV7ngggtix+fOnUt7ezuvv/56r85z7bXXsnPnzoSiFnsaPnw411xzDXfffXe3x3oauSoqKqKjo4O0tLTev6H+Mns2vPFGsntxcKTvySF9Tw7pe3JI35ND+p4c0vfkkL4nxwDpu8PhwGaz9SobJHXNlcFg4LjjjmPJkiWxY+FwmCVLlnDCCSf0+jzhcDghHB1oG6PRSFpaWsJFCCGEEEIIIQ5E0qcFzp8/n7lz5zJ58mSmTp3KI488gsvlYt68eQBcddVVFBYWsmDBAiAyhW/y5MmUl5fj8/l45513eOGFF3jyyScBcLlc/Pa3v2X27Nnk5+fT3NxMZWUltbW1fP/730/a+xRCCCGEEEIc2ZIerubMmUNTUxP33nsv9fX1TJw4kYULF8aKXFRXV6PRdA2wuVwubrzxRmpqajCbzYwaNYq///3vzJkzBwCtVsuGDRt4/vnnaW5uJjMzkylTpvDJJ58wduzYpLxHIYQQQgghxJEv6eEK4KabbuKmm27q8bEPP/ww4f7999/P/fffv9dzmUwmXnvttb7snhBCCCGEEELsV9I3ERZCCCGEEEKII4GEKyGEEEIIIYToAxKuhBBCCCGEEKIPSLgSQgghhBBCiD4g4SpOZWUlY8aMYcqUKcnuihBCCCGEEGKQkXAVp6KignXr1vHll18muytCCCGEEEKIQUbClRBCCCGEEEL0AQlXQgghhBBCCNEHJFwJIYQQQgghRB+QcCWEEEIIIYQQfUDClRBCCCGEEEL0AQlXQgghhBBCCNEHdMnugBicVFUlHPYRDDkJBTsJBjsJBp2EQk6CQSfBkJNgsJPwCQ2w9f9AUQAFBU3cbQAFFCV6T4m73/VYpK0Sd5897ic+3uNtlOj/9nyd3ffp9lyGdaA0Low9N+F1u/WduON0P3e3tnHte9N2z/fd7bkkPFeT4cUY6ECnS0NR4h8XQgghhBD9RcLVUWa/oSjYGX1sd0CKHOt2P+REVYP7f8FpwI4n+v199YtzgTUVye7FwbkK+ORYNBojRkMuBmMORmMORmMuRkPk2mDMwWjIxWjMQadLSXaPhRBCCCEGPQlXcSorK6msrCQUCiW7K90ceCiKPn6woajXFLRaKzpdKjpdCjptClpdSuS+NgXNO+/DeecCavR/KhAGVY3eVkFVI+8x4X7843TdV8NdxyM/mLj7atx99rgf/1x6eI0enrduLYwZvce56LrfYx92t919a8/je7zO7lvqHu1Qo8f2fC32eH4PPz8g1NFI0BQmHPbh8Vbj8Vb39H9ejFZrwRANXUZjTo8BzGjMQau17PM8QgghhBBHMwlXcSoqKqioqMDhcGCz2ZLdHQC+WXk1jh9vIPThqD4PRTpdClptSo+hSKdLTbivjbbR6eIe06ag1VpQlH0s3fvZWrj9V33Y78Povtnwxj+T3YuDM3s2oX//E7+/EZ+vEZ+/EZ+vAb9v9/2GyLWvgVDISSjkxuPZjsezfZ+n1elSMRhyMRqzY6HLsOeImCEHrdZ4eN6nEEIIIcQAIuFqgAuFXATNobhBju6hKD7s7D0URUaWeh2KxKCn1Zowm4sxm4v32S4YdHWFMF8Dfn8TPl9DNJBFjvl8DYTDnuiIaCdu95Z9nlOnS0+YhhiblhgbBcvFYMhCozH05VsWvaCqKqoaQlUDhMMBVNVPOBxApw/JPwhCCCHEIZJ/Swe40aMehBtvRPv08xKKRL/Q6azodEOxWIbutY2qqoRCzq6w5W/E72uIGxVrjIyK+Rsi01eD7QSD7bhcm/b52np9RtxUxMg0RP2kZpSdz4GijRVAUeJvo43+NxA5jqJBQRM5Fn97j2Mokfux27ufv6/nRq/3dnvPY2jChIOuuOASIBz2E1YDqOFA13XY3/2xcICw6k9spwZQo226zrf7se5tw2F/7LGE9nsEqfgpqbsp1yvYV15NdvZMsrPOxGjMPrhfKCGEEOIoJuFqgLNay6HNCMa8ZHdFHMUURYmOfqZGfif3QlVVgkFHDwFs9zTExtgomaoGCARaCQRacTrXd53kNGDzb/r/TfWHW4CPxye7FwdMUXSo2iCtrZ/Q2voJGzfei812LNnZM8nJnrnf0U8hhBBCREi4EkL0GUVR0Ott6PU2Uhix13aqGiYQaE8MYNFAFvzgTdRTTo4W/wijqiEiBT7CoIbiCpuEo8fibu9xrKfHemoXOaZGXyscmzq3+zaEYm0O4KeBRmNAUfRoNAY0ih5Fo0ej0UeP6VEUAxqNvuux2LWhW9vIY4aEthqNIbG9Ev8cwx7n1Mf1R59wrSgKrrmzaLrvQpqaFuHoXE1Hx9d0dHzNli0LSEkZHRnRyp5JinWklPcXQggh9kLClRDisFMUDQZDBgZDBqSMSnzwpyvhhseS0q/92V3Vca8h7PLL0Lz8r2ho0Sa5twfG2mbEWno9paXX4/Xuoqn5fZoaF9He8SVO53qczvVs2/ZHzObi6IjWLNLSJso0ZSGEECKOhCshhOglZfem1XsLFD4taE2HtU/9wWQqoGjIVRQNuYpAoI2m5iU0Nb1Ha+sneDzVVFf/herqv2Aw5JCdPYPs7FnY06eh0eiT3XUhhBAiqSRcCSGE2Cu93k5B/vcoyP8ewaCLltaPaGp6j+bm/+L3N1Jb+yK1tS+i06WRlXkG2Tkzycw4Fa3WnOyuCyGEEIedhCshhBC9otNZyc35Lrk53yUc9tHatpSmpvdoanqfQKCF+ob/UN/wHzQaE5kZp5CdPYusrDPQ6wfGvoFCCCFEf5NwJYQQ4oBpNEayMqeTlTmdUSN/Q3vHimjQeg+vt4am5sU0NS9GUXTY06eRnT2L7OwzMRpzkt11IYQQot9IuIpTWVlJZWUloVAo2V0ZNFRVxa+qGDVda1A2ubzUev04Q2EK8oZwrKpKdTEhjmCKosWePgV7+hSGD/s5Tuc6Gpveo6lpES7XZlrbPqO17TM2broXW9qkWOVBi6U02V0XQggh+pSEqzgVFRVUVFTgcDiw2Y78aSz1vgAtgSCuYAhnKBy9hHCHwnhCYW4uyY21fWR7PZ+3OyNtgmFcoRCuaPugCjWnTUCniQSoh7fX85/G9sgTL/sRP69u5Ja4cwkhjlyKopCaOpbU1LGUl/0Et3sbTU3v0dj0Hg7HSjoc39Dh+IYtWx8ixTqyq8R7yugj8ksYVVUJBNrwemvxenfh9e2K3o5c1B9swfDNXAyGLAyGzOglC4MhC/3u2/pMKRYihBCDhISrQcCt0+PyB3AGI2HGGQpHgk0wRBi4KNcea/tkdSNrnR6cu8NP9DmuUBgV+ObEsbG2P9lQzX9bO/f6ujcW56CNfthZ7/LycZtzr21doRA2TeTXqdRsZFyKGb2i8E2nmweq6kjXabmqMOvQfhBCiEHHYhlKScmPKSn5MV5fPc1N79PYtIj29mU4XRtxujaybftjmExF5ESDls127KAp8a6qIXy+hkhwigYmj7cWn3cXnuixcNiz9xNkA22f7vd1dLr0HgOYQR93O/q4FBMRQojkkXA1CFxy8Vy++mxtj4+laDUJ4erjts59BqawqqKJBqYsg44cgw6rVkOKVhu51kWvtRqCqhoLV1cVZHJmZhopWi0pOg2W6HNSos9J1XZ9ELqrLJ+7yvIBeGjBI/zh+On8bFMNaTotF8T1VQhxdDEZ8xgy5AqGDLmCQKCd5uYPaGxaRGvrJ3i9O6ne+Veqd/4VgyGLrKwZ5GTPwm4/Ho3GkLQ+h0JefL46PHGjTbFRKO8ufL56VDW43/MYDNmYTAWYTIVx14Vo7rsf/89vxu9vjl5a8AdaYvcDgVZUNUQw2E4w2I7bvWW/r6XVWrsCWLfwFRkRM0Zva7UpR+SIoRBCJIuEq0Egxe8HiIWe3UHIqtOQptOixq1pujQ/g1PsqaRoNXuEpch1vMdGl/S6DyfZUw+q73cu/YC2i7/Hc7XN/GTDTk62p5JlkF87IY52en06+fkXkZ9/EaGQm5aWT2hqWkRzywf4/c3s2vUyu3a9jE6XSmbm6eRkzyIz81S0Wkuf9UFVVYJBR1xYqk247fHWEgi07Pc8iqLDaMzHZCrAHA1N8UHKaCxAqzX2/OQdf4T8i/bRxzCBQHtc+GqOhq+4ALb7dqCZcNhPKOTC43Hh8VTvt+8ajQF9D6NficEscq3X2wfNiKIQQiSLfModBJ5740UMr/0rNuK0L+fnDKyRIQV4YHgh/nCYc7PTJVgJIbrRai3k5MwiJ2cW4bCftrYvIpUHmxfj9zfT0PAGDQ1voNEYycg4hZzsmWRlfQe9Pn2f51XVMH5/U49T9XaHqFBo79Od4/uXEJiM0dvmQkzGAozGHBRF20c/jUSKosFgyMBgyABG7LOtqqqEQs6uEbD460Bzt+OhkJNw2I/PV4fPV9eLvmjR6zMiYUufhWlGLZbqP2O1lGOxDMVkKkKjkb/xQoijm/wVHARMoSAM4mkbGkXh4VHFCcdUqSAohOiBRmMgM/NUMjNPZaR6Hx0d30RLvC/G462mufl9mpvfR1G0pKdPJTt7FtYiJ95dr0YCU0LBiHpU1b/f19TrM7qNNnWNQBWi09kGxd8rRVHQ6VLR6VKxWIbut30o5I1OQ2xOGAXzxY2SBQKt0es2VDWE39+E398UOcE4YMuDca+vx2IpxWIpw2Ipw2opw2Itx2opQ6c7uNkPQggx2Ei4EofdVreXW9ZXUzmmhFLzXqbKCCGOepEANZn09MkMG3Y3TueG6IjWezidG2hrW0pb21K4GNjws72ew2jIjQWlSIAqSLh/tBaA0GpNmM2FmM2F+20bDgeiQatrOqLnmd/hPn8aLncVbncV4bAXl2szLtfmbs83GHKwWIZitZZHg1fk2mQqkKmGQogjioQrcdjdvamGrx1uLlm5lTeOHU6eUUoMCyH2LVLifTSpqaMpK7sVt3sHTc2REa3Atm8xDZu2R2jaPWUvV6aq9QGNRo/RmIvRGLetxrLn4J4/ApEpmF5vHW53FW731kjgcm3F7d6Gz9+A39+I399Ie/uyPc5rwmIZGhe4dgewoX26vk4IIQ4X+RdHHHaPjS5h9orN7PD6uXTVVv49aRh2vfwqCiF6z2IpoaT4OkqKr4P7ZsMbzyW7S0c1RdHERsEyM09JeCwY7MTt3obLtbUreLmrcLt3EA57cTrX43Su73ZOk7EASzRo7R7pslrLMRhyBsU0TSHE0Uk+0caprKyksrKSUCiU7K4c0XKNev45sZzZKzazweXlytVVvDKxHKu2fxaECyGESB6dLpW0tPGkpY1POB4OB/F6a3C7q3C5t+J2VcWCVyDQGlk/59tFa+snCc/TalO6Ape1a8TLYilFo5Gp5kKI5JJwFaeiooKKigocDgc2my3Z3TmilZiNvDyhnAu/2cJXDjc//HY7fxs/FING5t4LIcTRQKPRRQtglJLFGQmP+f2t0dGtbZHg5a7C5dqK17uTUMhJZ+e3dHZ+u+cZMZuHYLFEimhY4gpq6PUZMtolhDgsJFyJpBmdYubv48v4/sqtfNjWye+21fOL8oJkd0sIIUSS7S4/n54+OeF4OOzH46mOG+nqCl6hkBOPpxqPp5qWlv8mPE+nS8dqGRoLW9bSTmyB9v2W8xdCiAMl4Uok1WSblWePKeWR7Q1UFOckuztCDDqqqhKIXoJhlYAKwbj7aTotmdH95dyhMKs73ZHHw9E20baWoSMY7fUzxGRI8jsSYu80GgNW6zCs1mGQ3XVcVVX8/uY9imlEphl6vbUEg+10OL6hw/FN5AkXAJ8ch9lcis02kbS0idjSJpKSMgqNRoosCSEOnoQrkXTTM9I4zZ4qUzbEoPaNw82yY08ksKMhFljOyrIxPjVS8WyDy8NfdjYnBJpgXMCZW5DFWdmR6cirO938ZEM1gXBcUIoGoqCq8pPSXH5cFPkyYlWnh7O+3rTXfv2kJJefleUDUOP1c8E3W3pueMEVXLG9gf8dVQREgtgDVbsYajZSbjEy1GxkiMmAVv47FQOQoigYjdkYjdnY7ccnPBYKeXC7t0eD1zbcri04Nr6Hx+7H49mOx7Od+vr/AKDRGElNHYctbSJptkjgMhrz5d8nIUSvSbgSA0L8P1zP1DThC6vcICNZYhDwhcMsqKrjTzubUE87C6rqYo8VGA2xcFXvC/D3upa9nmd6Rtcmq95QmLVO717bukPh2G1dD5/5tAroFQVd9LKbSaNQbjai0yixx/WKgk4Djk1bGD28a7+j7R4ff6lpTjivQVEoMRsosxi5KNfO+Tl2IDJqoBLZMFyIgUarNcfK+Mf8fDaBfz1Ph2MVjo5VdDi+weFYRTDooKPjazo6voadkaYGQw62tAmk2SZhS5tAauox6HTW5LwZIcSANyDCVWVlJb///e+pr69nwoQJPPbYY0ydOrXHtq+99hoPPPAAW7ZsIRAIMHz4cG6//XauvPJKAAKBAL/4xS945513qKqqwmazMWPGDB588EEKCmQ9z0D3ZYeLn2+uBSBdr+Wy/Mwk90iIvWvyB5izcivrXJEgdMa2TWSdMC0WXIZZuiqXDTUbuXNoXleo0cSFG0VhYlrXnj4jrSZenlAWC0eRANTVNsvQ9ad7lNXMxpPHJTy+t5BTbDby2fGje3yMX90Oc96I3bVqNdxYlEOVx0uV288Orw9fWGWz28dmt4/JaV0fLje6vZz91SZKzUbKLEbK9rjO0uvkm/9BLqSqtPiDNPoDNPqDNPmD6EaNp6jdSbHZSI5BN+jCtV5vJytzOlmZ04HIXl1u93YcjpV0OFbicKzE6dyA399IU/NimpoXR5+pISVlRGwqYZptIlZLuWyGLIQABkC4euWVV5g/fz5PPfUU06ZN45FHHmHWrFls3LiRnJzuIxcZGRncc889jBo1CoPBwFtvvcW8efPIyclh1qxZuN1uVqxYwS9/+UsmTJhAW1sbt956K7Nnz+arr75KwjsUB2JymoUbirJ5cmcTt2/YiU2n5bvZ6cnulhA9ytTryDToyPBr+cOoYmb94V645pIe25aYjcwvzevVeW16HdMz0nrVVqdRsPXDJrklZiP3Duv6QiqkqtR6/Wzz+Kny+Jhq6wpXVW4fnrDKepeX9a7uI273lOVzc0lk89kmf4CPWjspMxsZajHKHndJpKoq7cFQNCwFaIoLT43+AHMLspgc/f/5jcZ2bli3I/EEZ38PotNM/2dYAT+KTlXd4fHxRmM7RSYDRSYDxWbDoAjYiqLBai3Dai0jP/8iIDKlsLNzbWRkKzrC5fPV43RuwOncwK5dLwOR8vC2tAmkpU3AZptEWtoEDAb5clCIo1HS/1V7+OGHue6665g3bx4ATz31FG+//TbPPPMMd911V7f206dPT7h/66238vzzz/Ppp58ya9YsbDYbixcvTmjz+OOPM3XqVKqrqykuLu639yIOnaIo3FteQHswxEt1rVy/dgf/GK/llLgpU0Ik0y6vH5tei1WrRaMoPDa6BA2QYzyyF8FrFYVis5Fis5HTSPzv8cxMG59PG02Vx0eV20uVx882t4+tHi+13gAl5q4RvG8cbm5aXx27b9dpKYuu6SqzGDk7y8boFPNhe19HIlcwRFMgSKOvKyjtDk6X52dyXDQwvd7YzvV7BqY4U23WWLjKNuhQgCyDjhyDjmy9Hv/q1ewcPpJdPj9FcYVQVnd6+G3c9FgAs0ZhSDRs3Vicw8n2yO+QKxTCE1LJ1GsHZPjSas2kp09OqFro9dXj6FgVN8L1LaGQk9a2z2ht+yzWzmwqJs02ITK6lTaR1NTRsg+XEEeBpIYrv9/P119/zd133x07ptFomDFjBkuXLt3v81VV5YMPPmDjxo089NBDe23X0dGBoiikp6f3RbdFP1MUhd+PKMIRDPF2UwdXr9nGqxOHMSlu2pQQyfB6Yxt3bqzh/Jx0fjcyUvgh7wgPVb2h1yiRaYAWI2Qmjrh549aHARg1Gk5It7LN7afeH6AtGOJrh5uvHW4AyszGWLj6rK2T32+rTwhfZWYjpWYjZu3RNQXLHw7T7A92C0tN/iDfy7NzbFrXCNOP1m7f63kmpFpi4So7Or00Xacl26Aj26Anx6Ajx6An26BjUmrX39wT0lPYedoEdJq4AHTvT+CNNwiE1YTXyDXo+H6enZ0ePzu9fnb5AnjippReWdA1ovPflk6uXbsdi1YTGeWKBrDdI15T0qwD7osLkzEPU04eOTmzgMhmyC7XpkjQ6lhJh2MVbvcWPN5qPN5qGhreBEBRDKSmjomGrcgIl8k0ZECGSiHEwUtquGpubiYUCpGbm5twPDc3lw0bNuz1eR0dHRQWFuLz+dBqtTzxxBOceeaZPbb1er387Gc/47LLLiMtredpNj6fD5/PF7vvcDgO4t2IvqTTKDwxpoQrVlfxSZuTH6zeykdTR5FtGFj/yIqjgyMY4uebani1oQ2IfDPvCYWPug/4B8O0x8/otIxUTsvoGrXY7vGz1e1jm9tHlcfH2LhRq3VOL190uPiiw9XtvIVGPQ+PKo6da4XDxSetTjRKpLCGhkhhj923Z2XZKIyOrmx1e/na4Y62UVCi1xoFtChMSrOQG/1A3+gLsNHljZ1XS/ScCmiIFPjYPbXRGQxR7w+gRdmjH5HrVJ029jsTDKv41DBus5Ump6drOp4vQFMgyAU59tgXSu80tXPNmu17/RmPtJpi4Sor2hezRkOuMTLClGPsCk4T4r6kmmpLYcdp4zH2YvN2raLAXjKAXpP4wNT0FKamp8Tu+8NhdvkCsbAVv76wKRAEIkVaNrq8bNxjWulfx5VyTnRq+Cetnfy1tqkrfJmMFJkjt9N02v2+h/6i0ehITR1DauoYKLwcgEDAgaNzNY6ObyJFMxwrCQTacETXcu2m12fEphFGQtd4dDqZqSHEYJb0aYEHIzU1lZUrV+J0OlmyZAnz58+nrKys25TBQCDAJZdcgqqqPPnkk3s934IFC7jvvvu6PzBnDugHwIf55cth9uxk9+LgHELfjcCzegPfv/hqztmyjuzf3dO3fdufo/TnnnQDrO9LC0u46ayLqU1LRxMOc+vyj5m/7EP04XD3xgOs7wckCX23AmOjl57MSksnK7+IrfZMtqVnUpWeSZU9kw6TmVpfgNSf3QkNtbB8OV/+36MsmH72Xl+r/MEHKKzeCsBnx0zmzhl7f6/PvvEiZ2+NfMH38ajx3HT29/ba9ol3/h8Xbfw20rZ8NNfMvmyvbf938etcseZrAD4tLufSi+fC9T+DLzd2azv0uWeYtPpLAOyFJXDJD9GFQmS7nWS7neS4ohe3k2Ne2gj1NQBM1mjZqtViDfj32o/dDvlft17+zhiA0uhlT/OAy7Q6alNt7ExLZ6ctneo0OzvT0qm22Sn72+PQ0gjAmmNPZOFpZ/X4GuleN0+//U9Ora4CYJstg82Z2RR1tFHsaO/+8+jn33c9kBm9AKjk47Fl4chz05HnwZHvoTPbS4BWmpuX0Ny8ZHdDrC1G0urN2OrNpNVbSGkxoqhxAVb+ziSH9D05BkrfA4FeN1VUVVX336x/+P1+LBYLr776KhdccEHs+Ny5c2lvb+f111/v1XmuvfZadu7cyaJFi2LHdgerqqoqPvjgAzIz976wtKeRq6KiIjo6OvY62nVYzZ4Nb7yx/3YDUR/03R8OY+jFN6t97ij/uSfNAOm7Lxzmd9vqeaK6ERUoMRl4fEwJU2z7KME8QPp+UAZJ31VVpTUQio1yWbQamD2bj577B280thFSIYxKWI0U4QgTub69NC823XBxcwfP1DYTjrYNqRCOa/vL8gKOj468vNfcwQNVdYSi5eZDavTc0dd4YPiQ2P5k7zV3cPP66tjrhuPahlR4eFQRl0croH7Q4uDy1VUoapgMgyFhOl6OQc/Z2bbY75ovHMYVCpOu0w6sinyH+Xdmg8vDF+0uqqMjYDu9fqq9PloDIQDemzwitvXBU9WN/HrrrthzM/Ta2IhXkcnAJb/9FaOf/cth63tPQiEfTudaOhyr6OiIlIL3emu6tdNqrZG9t6Kl4M0//V90f/obOm0qWq1lcE0rHCR/Z3okfU+OAdJ3h8OBzWbrVTZI6siVwWDguOOOY8mSJbFwFQ6HWbJkCTfddFOvzxMOhxPC0e5gtXnzZv773//uM1gBGI1GjEZZZDpQxQerzmCI31bV8fOy/KROAxFHvvZAiJfqWlCBy/Iz+M2wQlLkdy7pFEUh0xCp0hgvfrrh/pyZZePMLFuv2s7MsjHzANpuPOWYvT4e/13maRmpVJ06HsNFF6F7/T/7PK9Ro+nV1L0j3SirmVHW7sVOXMEQO31+Sk1d/46n6bSMTzGz0+unLRiiNRCiNeBhVacHgPN0XeN2X7Q7Wef0cHx6CqOspsMWYLVaIzbbsdhsx0JRpKiXz98cXbe1MjqFcDWhkIv29mW0ty+LPPEq4LOTAFAULVptCjpdavSSFr2OHtOmxj22Z5vIRaMxD66AJsQAl/RpgfPnz2fu3LlMnjyZqVOn8sgjj+ByuWLVA6+66ioKCwtZsGABEJnCN3nyZMrLy/H5fLzzzju88MILsWl/gUCA733ve6xYsYK33nqLUChEfX09ECnjbjAYeu6IGBSuX7uDJa0ONjg9vDShXNa8iD6lqmrsQ0auUc8jo4oJqGpszYcQhyL+A6xWUbBoFVB7mF4qDohVp2WULjF0XV6QyeXRwhmOYIia3SNd0VGvY5q6qhm+Wt8W2+A7Xadlis3KNJuV49NTGJ9qPqwzJ4yGLLKzZ5CdPQMAVQ3hcm2JFctwOFbhbd5CyBJ5TFVDBIMdBIMdB/2akYDWUwjb46LdV0AzSUATIirp4WrOnDk0NTVx7733Ul9fz8SJE1m4cGGsyEV1dTWauD9sLpeLG2+8kZqaGsxmM6NGjeLvf/87c+bMAaC2tpY3osOHEydOTHit//73v93WZYnB5a6yPJZ3OPmiw8WP1m7nmXFDuy2mFuJg1PsC3La+mrmFmZwdDVO9HbEQQgxcaTotY1LMjIkv8R+3ZnJ8qplTvSl85XDTHgyxuMXB4pZIYSuzRmHliWOxRQuFhFX1sE7NVBQtKSkjSUkZSWFB5HMOs2ejvv464bCHYLBzj4sj8X5o921nj49DOBrQ2gkG2w+hn7qEAKbVpaCPBjBtXAjTj2nD2PIRBkMWBkMWen0GGs0AWNsuRB9KergCuOmmm/Y6DfDDDz9MuH///fdz//337/VcpaWlJHEZmehnx6RaeGF8GZeu2sriFgc/2VDNo6OLB9Y6BDHovNXYzk837qQtGGKz28t3MtOSs85PCHHYXVWYxVWFWQTCKmucHpa1O/miw8nyDhd2nS4WrACuXL2N1kCQaelWTkhPYarNmpSNsBVFQau1oNVaMBpz9/+EHqiqSijkjgWwUDRwBaIBLBTcI5iFegpwTiIBLUgg0EYg0LbvF50JrLom4ZBeb4+FrdhFn4XBuOexTAliYlAYEOFKiANxfHoKfx5byrw123i1oY10vZbfDCuUKQnigHUGQ/xicy2v1LcCMD7FzONjSiRYCXEU0msiZfgnpVm4nhzCqkpLtFQ8RMrnL+1w4g6F+abTzVM7m4BIKfxpNiunZaQOqinEiqKg01nR6axgzDuoc0QCmitxpCwQDV8hZ7dRtcDyJfjHFuP3N+P3twDhWChzuTbv9/ViQUyfGRe8sqPX8ccy0WhkGYhIDglXYlA6M8vGH0cVU7G+mr/UNJNr0HNzycF9eyeOTsvandy0vpqdXj8KcHNxDncMzZNgJYQAIvuUxe+tqFXgwykjWdbhYlm7i2UdTja7fbH9uao9/oRw9e+GNo5JNVNuNh6xX/5FAloKOl0KkL//J9w9G+ZFlm6oaohAoA2/vyUatiIXn78p7n7ksUCgJdY+EGjDxf6DmE6XnhC6jLEQlhV3PFuCmOhzEq7EoHVxXgbtwRCP7mhgRuYAKJkvBo2tbi8XfrOFMDDEpOfx0SWx0ttCCNETRVEoNhspNhv5fl4GAE3+AMujYWt0iinWttEX4IZ1O4DIxs7T0q0cb0thWrqVsSnmyKbMRzlF0caCDozcZ1tVDUeDWHzoakoIZX5/Cz5/UyyI7V5H5nZv2W9fdDpbt6mJxj3uW/Qh+dAsekV+T8Sg9sMh2Xwv154wJ16I/Sm3mLg8PxO/Gua3w4eQKiXWhRAHIdug55zs9G7TAVuDQY63Wfmm001zIMjbTR283RSp6Jei1fCzoflcV5SdhB4PToqiiY40ZdK7INa+R/CKuwSi175m/IEWVDUYq7jodm/dex+uh7SvLyEj42Qy7CeSljZB1oCJHskn0jiVlZVUVlYSCoWS3RVxAOKD1edtTtzhsIxkiQSqqvK3XS3MzEoj3xiZ/vHQyCHy7bEQol+Mspr5z7HD8YbCrOp0s6zDxdJ2J191uOgMhbHru77QWelw8+sttUxLT+F4m5XJNqt84XMIIkEsA4MhAxixz7aqGiYY7MC3O3j5mvAHWvYIZE34fI34/U10dHxNR8fXbNv2R7TaFOz2aWTYTyIj42QslrIjdvqnODASruJUVFRQUVER24VZDC4rHW4uXx351unlCeUyzUsAkek5t22o5oPWTt5uSuHlCeVoFEWClRCi35m0GqalpzAtPYVbSnIJqSrrnB6KTF1rfD5rj2wv8kWHiz8CGmBciplp6Vam2VI4NSOVtH4OW2FVxRtW8YbDeEPhhNvucJjJaVZM0X0ll7c7WdXpwRsO4wmH8YaibcOR5/2qvIBcY2RE59naZv5W2xxrZ5x3GxlfbcKu15Kh1/GT0lzKLZHplDs8Pmq8fjL0OjL1Oux6Xb9vtaIoGvR6O3q9HazD99nWc8VZtD50Na1tn9HWtpRAoI3m5iU0Ny8BwGjMiwatk7BnnITRkNWvfRcDl4QrccQYm2LmVHsq77U4uHJ1Ff+eNIxxqZZkd0sk0TtN7dyxcSetgRAmjSL7VgkhkkqrKByzx79Ls3PSSddp+aLDybJ2F9VeP6udHlY7Pfy5ppnXJw1jWvTLwmqPj+ohQ/G2OPCEwl2hJhpwri/KiQWSf+xq4bN2Z6ydJy40eUJhFk4eESsjf9emGv62q2Wv/V5+/GiKzUYA3m3u4MlopcSe3FycEwtXrf4g613ergfTM9jR6Y7d/XHc1Mg3Gtv5bVXX5s4AqVoNGXodGXodvxs5JPaz+7bTzTcOd+wxu17b74HM7DBQWHgphYWXoqphOp3raG39jLbWz2jv+BKfr566+n9RV/8vAFKsI8nIOBl7xonY06ei1crnkaOFhCtxxNBrFP40tpTLVm3liw4Xl66q4o1jh1NmMSa7a+IwcwZD3LullhfrIiXWx6WYqRxTwkiraT/PFEKIw6vIZOAHBZn8oCATgF1eP8s6XHzR7uQbh5uJaV0fyp/Y2cRz358Hq6t6PNdVBZnYNJGPdiscLl5r2Pu+U+5QGHt0yZA5rkqqXlEwaRRMWg0mjQaTRiF+99DxqRbOz0mPPWbSajBrIheTViHL0PXR8uI8O1Ns1lg73x0/pfW3D9ASCNIWCDEkbgTPotUwzGKkNfqYCnSGwnSG/Ozw+hP6/t/WTh7YI4jtlqbT8PdjypgaDaSftXXyXrMjNlq2O4ztHiHL0OvQHWAgUxQNaanjSEsdR2nJjwmFvLR3fEVb62e0tn5Gp3MtTtdGnK6NVO/8K4piwGabREZGZAphWuo4FEWmfh6pJFyJI4pZq+Fv48u4+JstfOv0cMmqLbwxaTgFJimzerSocvu4fPVWtnsiJdYrinO4U0qsCyEGiQKTgQtNBi7MtXd7zBUKMaKlEVNpSSTMRAONKRpuNHHTnc/LSWeE1RQNQRrM2kgYioQgTUIIurMsj58OzcOk0ew3aFyYa++xbz0pNRspNcd9wVm3E/Yyg+CHQ7L54ZDISFZIVekIhmgNBGn1B2kLhhgad54Ss4GzstJoDUTbxAUyRzCMNW4a5dcON3+q2ftI26sTyznZngrAu03tvLCrJW5qYlcgm5SSRuFezqHVmsjMOJnMjJMB8PtbaGtbSmvrZ7S2fYbXW0t7+zLa25dRVfUwOl0advsJsWmEZnOJrNc6gki4EkecNJ2WFyeUcf6KLVR5fFy6qorXjx0Wm/4gjmx5Rj16RaHQqOfxMSWcIGvvhBBHiMdGl8DPboY33thv2+kZaUzP6F1xJ6t2YI2iaBUlFmroYTbd+Tl2zs9JDHi7A1lbIJgwInZsmoWK4pxoAAt2C2QZcZ8NNrl8fNDa2XOffvgTnm5q79VG0QZDJrm555Kbey6qquLx7IgGrU9pa1tKMOigqWkRTU2LADCZCmOFMez2E6LFOMRgJZ82xREp26DnlYnlzF6xmdEpJqxaGbU4klV7fBSaDGgVBYtWw3PHDCXboO/3ReBCCCEGhoRAFudke2psZGpPIVUlfrxoZlYa2UZdbLRsdyDb5Q2wpbU94cs6ZzBESi/+jVEUBYulFIullCFDfkA4HKSzcw2tbZEphB0dK/B6a9lV90921f0TUEhNHRMLWzbbcWi1MqV9MJFwJY5YRSYDbx87nFyjXirDHaFUVeWFXS38assu7hiaR0VxDkCs+pQQQgixN3t+NhidYmZ0irnHtvWX/YCMWf+I3f9BdN3bTcU5zMhM6/W0Po1Gh802EZttIkNLKwiF3LS1L6et9XNaWz/F6dpIZ+daOjvXsqP6aTQaI+m2ydgzIlMIU1PGoCjyhfFAJuFKHNHi11qFVZWX61u5JDfjgBevioGnyR9g/oadLG5xAJE9zm4sypZ560IIIfpcnqtruuAOj48VDjcBVWXZt9sYbTVxU3EO5+fYD/jzhVZrIStzOlmZ0wHw+Zpoa4sErdbWz/D5GyKjXG2fsXUr6PX2uPVaJ2M2D+nLtyn6gIQrcdS4Y+NOXqxr5asOF/83skg+hA9ii5o7mL9hJy2BIEaNws/L8rluiAQrIYQQ/a/EbOTLE8bw9M4mnt/VzHqXl4r11SzYVscNRTlclp+J5SCXIxiN2eTlnU9e3vmoqorbvTVWGKOtbRmBQBuNje/Q2PgOAGZzMRkZJ5NhPxm7/Xj0etlyJNkkXImjxozMNF6ua+XFulbSdTruHVaQ7C6JA+QKhvjVll38vS6yH8sYq4nKMSV7ncYhhBBC9Ic8o557hxVwS0kOz9e28HRNEzXeAPdsriVTr+OCXlZU3BdFUbBah2G1DqOoaC7hcACHY1UsbDkcK/F4qqmtfZHa2hcBDWlpx5BhPzG6XmsSGo1sR3O4SbiKU1lZSWVlJaFQKNldEf3gu9np/O+oIuZv2MkTOxux67XcXJKb7G6JA1Dt9fPP+lYU4PqibO4qy8coJdaFEEIkSbpex62lufyoKJtX6lt5u6mdc+MqCi5td1JqNpBvPPQtYTQaPenpk0lPn0wZtxIMdtLWvjw6hfBz3O4tOByrcDhWsX3Hk2g0ZuzpU0g9oQHzrn9iMg3BbC7CaMxHo5EI0F/kJxunoqKCiooKHA4HNpsMqx6JLs/PpCMQ4r6tu/htVR12vY4rohs3DjaqqtLgD7LO6WGd08N6l5fj061cWZAFgD8c5sRl68kx6Mk16Mkx6Mg1dt0ut5gGxQbLqqrGpvuNTjGzYMQQSsyGvVZ/EkIIIQ43s1bD1YVZXF2YFTvmD4e5cd0Omv1Bvp9n58biHIb1YcElnS6V7KzvkJ31HQC83rroeq3IyJbf30xL68e0TAM23B17nqJoMRrzMZuGYDIXYY6GLpOpELO5CIMhW4pmHAIJV+Koc0NxDm2BII9WN/LTjTtJ02mZnZOe7G71ijMY4qFtdaxzelnv8tAaSBxl9YbDsXDV6A9S4w1Q4w30eK7v5dp5fEwJEPkH4NyvN5Nt0JNn1EUCmVFPrkFHrkFPkdlAtkHfv2+uB1VuHz/ZUM3/DC9kQmpks5MfDNIwLIQQ4ujS7A9SYjJQ5wvwYl0rL9W18t1sGzcV5zIprYcNvA6RyZRPfv7F5OdfjKqquFybaG37HPe/KvFMH4fXW4PHU4uq+vF6a/B6a6D9i27n0WiMkaAVF77iQ5hOZ5M1zvsg4Uocle4uy6c9GOLlulYG0nczYVVlp9fPeqeXda7IiFSp2cgvyiPrw0waDS/sasEbVgHQKlBuNjE6xcQYq5nJtq4/1tkGHe8cO5wGf4AGf5AGXyBy2xek0R9geNy3Z43+IKudHsDTY7++n2ePbF4J+MJhrlq9jRxjJHjlGvQJt3ON+oNeyLubqqr8o66VX26uxRMOc/emGt4+drj8MRdCCDFoFJgM/OfY4XzZ4eLx6gYWNTt4u6mDt5s6ODk9hV8NK+CY1L4PWRBZr5WSMpKUlJHwwb/htucAUNUwPn8jXk8NHs9OPN4avLuvvTV4vXWEwz7c7irc7qoez63VpmA2D4lNM9wzfGm1/fOeBgsJV+KopCgKC0YM4aqCTMb10x+23lJVlXs21/Jtp4f1Lg/OUDjh8TFWUyxc6TQKPxuaT4Zex5gUE8MtJkx7CTJGjYZjbdZe9cGu1/LCMUNp9AejASyQcHtI3FzxRn+Qj9p63sEeugexn2zYGZmSGA1e8bdTtZpuganJbOWONdtY1BwpsX5iegqPji6WYCWEEGJQmmKz8vwxZWx0eamsbuC1hjY+bXcS3v9T+5yiaDAZ8zAZ80hPn9zt8XA4gM9X1y14eTw1eL078fubCYWcOJ0bcDo39Pgaen1G1zRDUxEm8xDMpqJoICtEozn09WcDmYQrcdTSKkpCsKrx+nGGQoyy9m3luZCqUuX2sd7lZb3TwzqXB52i8NdxQ4FI0PukrZPNbh8ABkVhhLVrNOqY1MT+3BDdKLcvWbVazszq3TpDm07LH0cV0+iPjITV7w5ivgCN/gC5cdMHG3wBXmto2+u5Ls/P4OFRxQB4Q2Hu27qLN6+soLnZgUFRuLssnx8XZaORYCWEEGKQG2k18ejoEu4cms97zR2x6e4Af9heT7ZBz/fz7Ekt1KTR6DGbizGbi3t8PBTy4PXWdh/18tTg8e4kGHQQCLQSCLTicKzq4QwKRmNuQugymQuj4asIozEXRdH275vsZxKuhCCytud7K7cQUlXeOHY4JeZDL/Tw2627+Kitk00ub2wa324WrYawqsZCw09K81CA0Skmys0m9AN4k+M0nZY5+Rk9PqaqKqG4t5qi0/Kr8gIa/IkBrMEfwBEMk6nv+hPU4A/wbG0zWFMYaTXxxJgSxkqJdSGEEEeYISYD1wzJcOWNigAA8B5JREFUjt1v8AX4w/YG/KrK77fVcd2QbOYWZpGqG3ghQ6s1x8rD9yQQcETWdnl3xgJXZNQrMg0xHPbi89Xj89VDx5fdnq8oekym/Fj4sk5qpueYN3BJuBICyNBrsem0rHd5mbNqK29MGs6+xof84TBb3L5opb5IcYk6X4D/ThkZm7620eVldWdkDZNZo2F0ionRVhOjU8yMsZqJj1sX9cF+GAOBoijo4nJhhl6315E2dyhMSO36KZg1Gm4uziHrb88z996f7XW6oxBCCHEkSdFp+EV5Pk/tbGKXL8D9VXU8Wt3A1QVZXFeUnZSCUgdLr09Drx9DauqYbo+pqoo/0NJttCt27d2FqgbweKrxeKqhDSzHGCRcCTEYpet1vDyhnNkrNrPd4+fSVVv5t9FEWlwZcIDHdkTmSm92ewmq3c/T6A+Sa4z8EfxRUTZz8jMYYzVTYjbI1LY97Fn0Iseo557yAvhmKUiwEkIIcZSwarX8qCiHqwuzeK2hjcrqRja7fTxa3cifapp4emwps3o5dX8gUxQFoyELoyELm21St8dVNYTP1xCdchgJXdpP/gnfS0JnD4GEKyGico16/jmxnPNWbGady8sZV9yI57M1fD5tNOnR6WvN/iDrXV4A0nQaxljNkZGo6Poou75rCF/2YRJCCCFEbxk0Gi7Nz+SSvAwWNXfwWHUj65wejo0r2+4NhY/YmR2KosVkKsBkKsDOtMjBrz9IbqcOgoSrOJWVlVRWVhIKhfbfWByRSsxGXplQzgXfbKE2LR0CIda7vJyQngLAnPwMTrKnMCbFTKFRLxXshBBCCNGnNIrC2dnpnJVlY4fXnzAt8IrVVRg0CjeX5HK8zSqfQwagIzP6HqSKigrWrVvHl192X2Anjh6jU8y8c9xwHn/3Vd6bPCLhG6MxKWZmZtkYYjLIHzQhhBBC9BtFUSiNK7C13ePj83YnH7R2cuE3Wzh3xWYWNnUQVntYpzDIBcIqHYFgsrtxUGTkSogelFtMlG9YDUneA0sIIYQQAqDUbOTz40fzRHUjr9S38rXDzdVrtjHcYuSm4lwuyrUP2GrD7lCYlkCQFn+QlkCQISYDI60mAHZ6/fxicw2t/lCkTSBIRzDEVJuVN5Lc74Mh4UoIIYQQQohBoNRs5Hcji7ijNI8/1zTxXG0zm90+bt1QjV6jHJbqw6qq0hEM0RoIJQSm0VYTx9qsQGSLm+vXbafFH6Q1EMSzx5Y0FcU5/LK8IHZ/UbOj2+u0yciVEEIIIYQQor/trrB7c0kuz9c2825zB+dlp8ceX9HhosRsJNOw/4/6wbBKWzBIczQkxYemqTYrp2ZECnRtdHn5/sottAaCPVZMvrEoJxau9Bolth3NbgZFIdOgI1OvS9jnMluv46ERQyLH4x5P1w+8fb56Q8KVEEIIIYQQg1CaTsvNJbncVJwTWwseCKtct3Y7rYEQVxRkMGHUeFp2NkZCkz/IGZmpfDcaxNY6PXzny417Pf+NRTmxcGXVamj0d40mWbWaWBDKNOgYZulaH5Zr0PG3Y4YmBKYUrabH9eomrYa5hVl98eMYECRcCSGEEEIIMYjFh5YGf4BMvY5aX4A/1zTD2d+DLbtij6fqNLFwla6LjA4pgF2vjYWljGgoOs7WtfY8z6Bn8eQRkcf0un2WhDdoNMw8AvbmOhgSroQQQgghhDhCDDEZWDR5BB+3OXm2tgnXim/InHxcLDRNS7fG2uYZ9aw5aRx2vRbtfqog6zQKx0ihr/2ScCWEEEIIIcQRRFEUTstI5bSMVLjnNph7cY/ttIpCVi/WZYnek32uhBBCCCGEEKIPSLiKU1lZyZgxY5gyZUqyuyKEEEIIIYQYZCRcxamoqGDdunV8+eWXye6KEEIIIYQQYpCRcCWEEEIIIYQQfUDClRBCCCGEEEL0AQlXQgghhBBCCNEHJFwJIYQQQgghRB+QcCWEEEIIIYQQfSDp4aqyspLS0lJMJhPTpk1j+fLle2372muvMXnyZNLT07FarUycOJEXXnihW5uZM2eSmZmJoiisXLmyn9+BEEIIIYQQQiQ5XL3yyivMnz+fX/3qV6xYsYIJEyYwa9YsGhsbe2yfkZHBPffcw9KlS1m9ejXz5s1j3rx5LFq0KNbG5XJx8skn89BDDx2utyGEEEIIIYQQ6JL54g8//DDXXXcd8+bNA+Cpp57i7bff5plnnuGuu+7q1n769OkJ92+99Vaef/55Pv30U2bNmgXAlVdeCcD27dv7te9CCCGEEEIIES9pI1d+v5+vv/6aGTNmdHVGo2HGjBksXbp0v89XVZUlS5awceNGTj311EPqi8/nw+FwJFyEEEIIIYQQ4kAkbeSqubmZUChEbm5uwvHc3Fw2bNiw1+d1dHRQWFiIz+dDq9XyxBNPcOaZZx5SXxYsWMB9993X/YE5c0CvP6Rz94nly2H27GT34uBI35ND+p4c0vfkkL4nh/Q9OaTvySF9T46B0vdAoNdNkzot8GCkpqaycuXK/8/encfVmP7/A3+dllOnVVEqpSIpS1myjyljqZixzVhD1NgSMWPsVEwytsYupJiJMDP2sTZOitCMYugoRRiKyJYW1bl+f/Q797e7s1Qjymfez8fjfjzc97Xc7/s+57jP+1z3fYX8/HzExsbim2++QbNmzeRuGayJ+fPn45tvvuHWX716BSsrK2DfPsDAoBaifkcDBwJHjtR1FP8OxV43KPa6QbHXDYq9blDsdYNirxsUe92oL7G/egUYGlarap0lV40aNYK6ujoeP37M2/748WOYmZkpbaempgY7OzsAQLt27SCRSBAaGvpOyZWWlha0tLT+dXtCCCGEEEIIqbNnroRCITp27IjY2Fhum1QqRWxsLLp161btfqRSKYqLi99HiIQQQgghhBBSbXV6W+A333wDb29vuLi4oHPnzvjxxx/x5s0bbvbAcePGoUmTJggNDQVQ/myUi4sLmjdvjuLiYvz+++/46aefsGXLFq7PvLw83L9/H48ePQIApKWlAQDMzMxUjogRQgghhBBCyLuo0+RqxIgRyM3NxZIlS5CTk4N27drh5MmT3CQX9+/fh5ra/w2uvXnzBn5+fvjnn38gEong4OCAn3/+GSNGjODqHDlyhEvOAGDkyJEAgMDAQAQFBX2YAyOEEEIIIYT859T5hBb+/v7w9/dXWCYWi3nr33//Pb7//nuV/Y0fPx7jx49/p5gYYwBQf6ZkLykpf5DuY0Sx1w2KvW5Q7HWDYq8bFHvdoNjrBsVeN+pJ7LKcQJYjqCJg1an1H/PPP/+UzxZICCGEEEIIIQAePHgAS0tLlXUouVJAKpXi0aNH0NfXh0AgkCvv1KkTkpKSVPZRnTrVqSebFv7BgwcwqGJa+NqKi2Kn2N9HnerU+y/EXlv7q82+KPaa1aPYKfaa1vtfj706dSj22o+LYq9+X+8aF2MMr1+/hoWFBe+RJUXq/LbA+khNTU1lVqqurl7lF7/q1KlJPQMDg1rZJ8Ves3oUO8Ve03pVxV6b+6PY/w/FTrHXtB7F/uH/HwUo9tqMi2KvWV/vGpdhNf/OVZ1Nxf4xmzZtWq3UqUm92uqLYq9Zvdrqi2KvWb3a6qs+xl6b+6PYq49ir/2+arMfir1m9T7k/mrz+KqDYq/dOtVFsdesL1XotsB67tWrVzA0NMTLly+rneHXFxR73aDY6wbFXjco9rpBsdcNir1uUOx142ONnUau6jktLS0EBgZCS0urrkOpMYq9blDsdYNirxsUe92g2OsGxV43KPa68bHGTiNXhBBCCCGEEFILaOSKEEIIIYQQQmoBJVeEEEIIIYQQUgsouSKEEEIIIYSQWkDJFSGEEEIIIYTUAkquPqDz58/jiy++gIWFBQQCAQ4dOlRlG7FYjA4dOkBLSwt2dnaIioqSq7Np0ybY2NhAW1sbXbp0wZUrVz6K2ENDQ9GpUyfo6+vD1NQUgwcPRlpa2kcRe0UrVqyAQCDAzJkzay1mmfcV+8OHDzFmzBg0bNgQIpEIbdu2xZ9//lnvYy8rK8PixYtha2sLkUiE5s2bY9myZajteXlqGnt2djZGjx4Ne3t7qKmpKX0vHDhwAA4ODtDW1kbbtm3x+++/12rc7yv27du3o2fPnjAyMoKRkRH69OlTL/6fqe55l4mJiYFAIMDgwYNrLWaZ9xX7ixcvMG3aNJibm0NLSwv29va1/r55X7H/+OOPaNmyJUQiEaysrDBr1iwUFRXVaey//fYb+vbtCxMTExgYGKBbt244deqUXL36eF2tTuz19bpa3fMuU5+uq9WNvT5eV6sTe329riYkJKBHjx7c+XRwcEBYWJhcvQ/xWa0pSq4+oDdv3sDZ2RmbNm2qVv27d+9iwIAB6NWrF1JSUjBz5kx8/fXXvA/Gvn378M033yAwMBBXr16Fs7Mz3N3d8eTJk3ofe1xcHKZNm4ZLly7hzJkzKCkpQb9+/fDmzZt6H7tMUlISwsPD4eTkVKsxy7yP2J8/f44ePXpAU1MTJ06cQGpqKtasWQMjI6N6H/sPP/yALVu2YOPGjZBIJPjhhx+wcuVKbNiwoU5jLy4uhomJCRYtWgRnZ2eFdS5evIhRo0bB19cXycnJGDx4MAYPHowbN27UZujvJXaxWIxRo0bh3LlzSExMhJWVFfr164eHDx/WZujvJXaZrKwszJ49Gz179qyNUOW8j9jfvn2Lvn37IisrC7/88gvS0tKwfft2NGnSpDZDfy+x79mzB/PmzUNgYCAkEgkiIiKwb98+LFiwoDZDr3Hs58+fR9++ffH777/jr7/+Qq9evfDFF18gOTmZq1Nfr6vVib2+XlerE7tMfbuuVif2+npdrU7s9fW6qqurC39/f5w/fx4SiQSLFi3CokWLsG3bNq7Oh/qs1hgjdQIAO3jwoMo6c+bMYa1bt+ZtGzFiBHN3d+fWO3fuzKZNm8atl5WVMQsLCxYaGlqr8VZUW7FX9uTJEwaAxcXF1UaYCtVm7K9fv2YtWrRgZ86cYa6uriwgIKCWo+Wrrdjnzp3LPvnkk/cRolK1FfuAAQOYj48Pr87QoUOZl5dXrcVaWXVir0jZe2H48OFswIABvG1dunRhkydPfscIlaut2CsrLS1l+vr6bNeuXf8+uCrUZuylpaWse/fubMeOHczb25sNGjSoVmJUprZi37JlC2vWrBl7+/Zt7QVXhdqKfdq0aeyzzz7jbfvmm29Yjx493jFC5Woau0yrVq1YcHAwt15fr6uKVI69svpyXVVEUez18bqqSOXY6+t1VZHKsX8M11WZIUOGsDFjxnDrdfFZrQ4auarHEhMT0adPH942d3d3JCYmAij/VfOvv/7i1VFTU0OfPn24OnWlqtgVefnyJQDA2Nj4vcZWlerGPm3aNAwYMECubl2qTuxHjhyBi4sLhg0bBlNTU7Rv3x7bt2//0KHKqU7s3bt3R2xsLNLT0wEA165dQ0JCAjw9PT9orP/Gv/lM1FcFBQUoKSmp889qdS1duhSmpqbw9fWt61Bq5MiRI+jWrRumTZuGxo0bo02bNli+fDnKysrqOrQqde/eHX/99Rd3i86dO3fw+++/o3///nUcGZ9UKsXr16+593J9vq5WVjl2RerLdbUyZbHXx+tqZYpir6/X1coUxf6xXFeTk5Nx8eJFuLq6Aqjfn1WNOt07USknJweNGzfmbWvcuDFevXqFwsJCPH/+HGVlZQrr3Lp160OGKqeq2EUiEa9MKpVi5syZ6NGjB9q0afMhQ5VTndhjYmJw9epVJCUl1VGUilUn9jt37mDLli345ptvsGDBAiQlJWHGjBkQCoXw9vauo8irF/u8efPw6tUrODg4QF1dHWVlZQgJCYGXl1cdRV19yo4vJyenjiL69+bOnQsLC4t6/QVIJiEhAREREUhJSanrUGrszp07+OOPP+Dl5YXff/8dGRkZ8PPzQ0lJCQIDA+s6PJVGjx6Np0+f4pNPPgFjDKWlpZgyZUqt3xb4rlavXo38/HwMHz4cAPD06dN6e12trHLsldWn62plimKvr9fVyhTFXl+vq5Upir2+X1ctLS2Rm5uL0tJSBAUF4euvvwZQvz+rlFyRemHatGm4ceMGEhIS6jqUKj148AABAQE4c+YMtLW16zqcGpNKpXBxccHy5csBAO3bt8eNGzewdevWenURUGT//v2Ijo7Gnj170Lp1a+7ZLAsLi3of+/+KFStWICYmBmKxuN6//1+/fo2xY8di+/btaNSoUV2HU2NSqRSmpqbYtm0b1NXV0bFjRzx8+BCrVq2q98mVWCzG8uXLsXnzZnTp0gUZGRkICAjAsmXLsHjx4roOD0D5c2HBwcE4fPgwTE1N6zqcGqlO7PX1uqoo9o/luqrsvH8M11Vlsdf362p8fDzy8/Nx6dIlzJs3D3Z2dhg1alRdh6USJVf1mJmZGR4/fszb9vjxYxgYGEAkEkFdXR3q6uoK65iZmX3IUOVUFXtF/v7+OHbsGM6fPw9LS8sPGaZCVcX+119/4cmTJ+jQoQNXXlZWhvPnz2Pjxo0oLi6Gurr6hw4bQPXOu7m5OVq1asWr4+joiF9//fWDxalIdWL/7rvvMG/ePIwcORIA0LZtW9y7dw+hoaH14iKgirLjq+vPak2sXr0aK1aswNmzZ9/bw+a1KTMzE1lZWfjiiy+4bVKpFACgoaGBtLQ0NG/evK7Cq5K5uTk0NTV5/584OjoiJycHb9++hVAorMPoVFu8eDHGjh3L/crctm1bvHnzBpMmTcLChQuhpla3TyXExMTg66+/xoEDB3gjsI0aNaq311UZZbFXVN+uqzLKYq/P11UZVee9vl5XZVTFXt+vq7a2tgDK43r8+DGCgoIwatSoev1ZpWeu6rFu3bohNjaWt+3MmTPo1q0bAEAoFKJjx468OlKpFLGxsVydulJV7ADAGIO/vz8OHjyIP/74g/sA1bWqYu/duzf+/vtvpKSkcIuLiwu8vLyQkpJSpxeA6pz3Hj16yE3Nm56eDmtr6w8SozLVib2goEDuS5m6ujr3hbk+q87x1WcrV67EsmXLcPLkSbi4uNR1ONXi4OAg91kdOHAgNyOllZVVXYeoUo8ePZCRkcF7f6enp8Pc3LxeJ1aA8s8qgFqf4rmm9u7diwkTJmDv3r0YMGAAr6w+X1cB1bED9fe6CqiOvT5fV4Gqz3t9va4CVcf+MV1XpVIpiouLAdTzz2qdTqfxH/P69WuWnJzMkpOTGQC2du1alpyczO7du8cYY2zevHls7NixXP07d+4wHR0d9t133zGJRMI2bdrE1NXV2cmTJ7k6MTExTEtLi0VFRbHU1FQ2adIk1qBBA5aTk1PvY586dSozNDRkYrGYZWdnc0tBQUG9j72y9zWr0fuI/cqVK0xDQ4OFhISw27dvs+joaKajo8N+/vnneh+7t7c3a9KkCTt27Bi7e/cu++2331ijRo3YnDlz6jR2xhhXv2PHjmz06NEsOTmZ3bx5kyu/cOEC09DQYKtXr2YSiYQFBgYyTU1N9vfff9f72FesWMGEQiH75ZdfeJ/V169f1/vYK3tfswW+j9jv37/P9PX1mb+/P0tLS2PHjh1jpqam7Pvvv6/3sQcGBjJ9fX22d+9edufOHXb69GnWvHlzNnz48DqNPTo6mmloaLBNmzbx3ssvXrzg6tTX62p1Yq+v19XqxF5ZfbmuVif2+npdrU7s9fW6unHjRnbkyBGWnp7O0tPT2Y4dO5i+vj5buHAhV+dDfVZripKrD+jcuXMMgNzi7e3NGCt/g7u6usq1adeuHRMKhaxZs2YsMjJSrt8NGzawpk2bMqFQyDp37swuXbr0UcSuqD8ACo+xvsVe2fu6CLyv2I8ePcratGnDtLS0mIODA9u2bdtHEfurV69YQEAAa9q0KdPW1mbNmjVjCxcuZMXFxXUeu6L61tbWvDr79+9n9vb2TCgUstatW7Pjx4/XatzvK3Zra2uFdQIDA+t97JW9r+TqfcV+8eJF1qVLF6alpcWaNWvGQkJCWGlpab2PvaSkhAUFBbHmzZszbW1tZmVlxfz8/Njz58/rNHZXV1eV9WXq43W1OrHX1+tqdc97RfXlulrd2OvjdbU6sdfX6+r69etZ69atmY6ODjMwMGDt27dnmzdvZmVlZbx+P8RntaYEjNXx+DwhhBBCCCGE/A+gZ64IIYQQQgghpBZQckUIIYQQQgghtYCSK0IIIYQQQgipBZRcEUIIIYQQQkgtoOSKEEIIIYQQQmoBJVeEEEIIIYQQUgsouSKEEEIIIYSQWkDJFSGEkGqLiopCgwYNqqwnEAhw6NCh9x5PfeDm5oaZM2fWdRiEEELqAUquCCGkHhk/fjwEAgEEAgE0NTVha2uLOXPmoKio6IPHYmNjgx9//JG3bcSIEUhPT+fWg4KC0K5dO7m22dnZ8PT0fK/xRUVFcedKTU0NlpaWmDBhAp48efJe91sVReft36j4XhAKhbCzs8PSpUtRWlr67kHWkf9S0k0I+W/SqOsACCGE8Hl4eCAyMhIlJSX466+/4O3tDYFAgB9++KGuQ4NIJIJIJKqynpmZ2QeIBjAwMEBaWhqkUimuXbuGCRMm4NGjRzh16tQH2f/7JnsvFBcX4/fff8e0adOgqamJ+fPn17ivsrIyLhH92JWUlEBTU7OuwyCEEDkf//+whBDyP0ZLSwtmZmawsrLC4MGD0adPH5w5c4Yrl0qlCA0Nha2tLUQiEZydnfHLL79w5WKxGAKBAMePH4eTkxO0tbXRtWtX3Lhxg7efhIQE9OzZEyKRCFZWVpgxYwbevHkDoPxWt3v37mHWrFnc6AnAvy0wKioKwcHBuHbtGlcnKioKgPwIxd9//43PPvsMIpEIDRs2xKRJk5Cfn8+Vjx8/HoMHD8bq1athbm6Ohg0bYtq0aSgpKVF5rgQCAczMzGBhYQFPT0/MmDEDZ8+eRWFhIQBgx44dcHR0hLa2NhwcHLB582aubVZWFgQCAX777Tf06tULOjo6cHZ2RmJiIlfn2bNnGDVqFJo0aQIdHR20bdsWe/fuVRqPovP25s0bGBgY8F4jADh06BB0dXXx+vVrpf3J3gvW1taYOnUq+vTpgyNHjgAA1q5di7Zt20JXVxdWVlbw8/PjnVPZa3XkyBG0atUKWlpauH//PpKSktC3b180atQIhoaGcHV1xdWrV+XOa3h4OD7//HPo6OjA0dERiYmJyMjIgJubG3R1ddG9e3dkZmby2h0+fBgdOnSAtrY2mjVrhuDgYG6kzcbGBgAwZMgQCAQCbr2qdrJ4tmzZgoEDB0JXVxchISFKzxkhhNQlSq4IIaQeu3HjBi5evAihUMhtCw0Nxe7du7F161bcvHkTs2bNwpgxYxAXF8dr+91332HNmjVISkqCiYkJvvjiCy5ZyczMhIeHB7788ktcv34d+/btQ0JCAvz9/QEAv/32GywtLbF06VJkZ2cjOztbLrYRI0bg22+/RevWrbk6I0aMkKv35s0buLu7w8jICElJSThw4ADOnj3L7Uvm3LlzyMzMxLlz57Br1y5ERUVxyVp1iUQiSKVSlJaWIjo6GkuWLEFISAgkEgmWL1+OxYsXY9euXbw2CxcuxOzZs5GSkgJ7e3uMGjWK+2JfVFSEjh074vjx47hx4wYmTZqEsWPH4sqVKwr3r+i86erqYuTIkYiMjOTVjYyMxFdffQV9ff0aHd/bt28BAGpqali/fj1u3ryJXbt24Y8//sCcOXN49QsKCvDDDz9gx44duHnzJkxNTfH69Wt4e3sjISEBly5dQosWLdC/f3+5JG/ZsmUYN24cUlJS4ODggNGjR2Py5MmYP38+/vzzTzDGeK9hfHw8xo0bh4CAAKSmpiI8PBxRUVFcIpSUlMQdd3Z2NrdeVTuZoKAgDBkyBH///Td8fHyqfc4IIeSDYoQQQuoNb29vpq6uznR1dZmWlhYDwNTU1Ngvv/zCGGOsqKiI6ejosIsXL/La+fr6slGjRjHGGDt37hwDwGJiYrjyZ8+eMZFIxPbt28fVnzRpEq+P+Ph4pqamxgoLCxljjFlbW7OwsDBencjISGZoaMitBwYGMmdnZ7njAMAOHjzIGGNs27ZtzMjIiOXn53Plx48fZ2pqaiwnJ4c7bmtra1ZaWsrVGTZsGBsxYoTSc1U5lvT0dGZvb89cXFwYY4w1b96c7dmzh9dm2bJlrFu3bowxxu7evcsAsB07dnDlN2/eZACYRCJRut8BAwawb7/9llt3dXVlAQEB3Lqi83b58mWmrq7OHj16xBhj7PHjx0xDQ4OJxWKl+/H29maDBg1ijDEmlUrZmTNnmJaWFps9e7bC+gcOHGANGzbk1iMjIxkAlpKSonQfjDFWVlbG9PX12dGjR7ltANiiRYu49cTERAaARUREcNv27t3LtLW1ufXevXuz5cuX8/r+6aefmLm5Oa9f2fuipu1mzpyp8jgIIaQ+oGeuCCGknunVqxe2bNmCN2/eICwsDBoaGvjyyy8BABkZGSgoKEDfvn15bd6+fYv27dvztnXr1o37t7GxMVq2bAmJRAIAuHbtGq5fv47o6GiuDmMMUqkUd+/ehaOjY60dj0QigbOzM3R1dbltPXr0gFQqRVpaGho3bgwAaN26NdTV1bk65ubm+Pvvv1X2/fLlS+jp6UEqlaKoqAiffPIJduzYgTdv3iAzMxO+vr6YOHEiV7+0tBSGhoa8PpycnHj7BIAnT57AwcEBZWVlWL58Ofbv34+HDx/i7du3KC4uho6OTo3OQefOndG6dWvs2rUL8+bNw88//wxra2t8+umnKtsdO3YMenp6KCkpgVQqxejRoxEUFAQAOHv2LEJDQ3Hr1i28evUKpaWlKCoqQkFBARefUCjkHR8APH78GIsWLYJYLMaTJ09QVlaGgoIC3L9/X+l5kb1Gbdu25W0rKirCq1evYGBggGvXruHChQu8EaeysjK5mCqrbjsXFxeV54oQQuoDSq4IIaSe0dXVhZ2dHQBg586dcHZ2RkREBHx9fblnao4fP44mTZrw2mlpaVV7H/n5+Zg8eTJmzJghV9a0adN3iP7fqzxBgUAggFQqVdlGX18fV69ehZqaGszNzbnJNh4/fgwA2L59O7p06cJrUzGBq7xf2bNlsv2uWrUK69atw48//sg93zRz5kzu1rya+Prrr7Fp0ybMmzcPkZGRmDBhArc/ZWSJtlAohIWFBTQ0yi/bWVlZ+PzzzzF16lSEhITA2NgYCQkJ8PX1xdu3b7mERCQSye3D29sbz549w7p162BtbQ0tLS1069ZN7pgUnRdV5yo/Px/BwcEYOnSo3HFoa2srPcbqtquYnBNCSH1FyRUhhNRjampqWLBgAb755huMHj2aNzGBq6uryraXLl3iEqXnz58jPT2dG5Hq0KEDUlNTuSROEaFQiLKyMpX7qE4dR0dHREVF4c2bN9wX5AsXLkBNTQ0tW7ZU2bYqampqCo+hcePGsLCwwJ07d+Dl5fWv+79w4QIGDRqEMWPGAChPJNLT09GqVSulbZSdkzFjxmDOnDlYv349UlNT4e3tXeX+KybaFf3111+QSqVYs2YNN/vf/v37q31MmzdvRv/+/QEADx48wNOnT6vVVpUOHTogLS1N5XtKU1NT7txUpx0hhHwsaEILQgip54YNGwZ1dXVs2rQJ+vr6mD17NmbNmoVdu3YhMzMTV69exYYNG+Qmali6dCliY2Nx48YNjB8/Ho0aNcLgwYMBAHPnzsXFixfh7++PlJQU3L59G4cPH+ZNUGBjY4Pz58/j4cOHSr9829jY4O7du0hJScHTp09RXFwsV8fLywva2trw9vbGjRs3cO7cOUyfPh1jx47lbjd7H4KDgxEaGor169cjPT0df//9NyIjI7F27dpq99GiRQucOXMGFy9ehEQiweTJk7lRMWWUnTcjIyMMHToU3333Hfr16wdLS8t/fWx2dnYoKSnBhg0bcOfOHfz000/YunVrtY/pp59+gkQiweXLl+Hl5VWt6fWrsmTJEuzevRvBwcG4efMmJBIJYmJisGjRIq6OjY0NYmNjkZOTg+fPn1e7HSGEfCwouSKEkHpOQ0MD/v7+WLlyJd68eYNly5Zh8eLFCA0NhaOjIzw8PHD8+HHY2try2q1YsQIBAQHo2LEjcnJycPToUW7WQScnJ8TFxSE9PR09e/ZE+/btsWTJElhYWHDtly5diqysLDRv3hwmJiYKY/vyyy/h4eGBXr16wcTEROE05To6Ojh16hTy8vLQqVMnfPXVV+jduzc2btxYi2dJ3tdff40dO3YgMjISbdu2haurK6KiouTOkyqLFi1Chw4d4O7uDjc3N5iZmXEJqjKqzpvstr13ne3O2dkZa9euxQ8//IA2bdogOjoaoaGh1WobERGB58+fo0OHDhg7dixmzJgBU1PTd4oHANzd3XHs2DGcPn0anTp1QteuXREWFgZra2uuzpo1a3DmzBlYWVlxzwhWpx0hhHwsBIwxVtdBEEIIqT1isRi9evXC8+fPub9JReqHn376CbNmzcKjR4940+sTQgj530DPXBFCCCHvWUFBAbKzs7FixQpMnjyZEitCCPkfRbcFEkIIIe/ZypUr4eDgADMzM8yfP7+uwyGEEPKe0G2BhBBCCCGEEFILaOSKEEIIIYQQQmoBJVeEEEIIIYQQUgsouSKEEEIIIYSQWkDJFSGEEEIIIYTUAkquCCGEEEIIIaQWUHJFCCGEEEIIIbWAkitCCCGEEEIIqQWUXBFCCCGEEEJILaDkihBCCCGEEEJqASVXhBBCCCGEEFILKLkihBBCCCGEkFqgUdcBEELkSaVSvH37tq7DIIQQQuoNoVAINTUaFyD1GyVXhNQzb9++xd27dyGVSus6FEIIIaTeUFNTg62tLYRCYV2HQohSAsYYq+sgCCHlGGO4f/8+SkpKYGFhQb/QEUIIISi/o+PRo0fQ1NRE06ZNIRAI6jokQhSikStC6pHS0lIUFBTAwsICOjo6dR0OIYQQUm+YmJjg0aNHKC0thaamZl2HQ4hC9LM4IfVIWVkZANAtD4QQQkglsmuj7FpJSH1EyRUh9RDd7kAIIYTw0bWRfAwouSKEEEIIIYSQWkDJFSGEEFIDERER6NevX12H8cE9ffoUpqam+Oeff+o6FEIIqbcouSKE1IoHDx7Ax8cHFhYWEAqFsLa2RkBAAJ49e1bXoQEA7t27B5FIhPz8fABAXl4eZs6cCWtrawiFQlhYWMDHxwf379+v0zizsrLg6+sLW1tbiEQiNG/eHIGBgVX+3bPx48dDIBDILa1bt+bqhIaGolOnTtDX14epqSkGDx6MtLQ0Xj82NjZcW3V1dVhYWMDX1xfPnz9Xuf+oqCg0aNDgXx+3ouMZPHhwrfVXFYFAgEOHDlVZr6ioCIsXL0ZgYCC3LSgoCAKBAB4eHnL1V61aBYFAADc3N7n6lRcHBwdkZWUpLKu4REVFQSwWKy3Pycnh9lXd93nF94+mpiZsbW0xZ84cFBUVcXUaNWqEcePG8Y6dEEIIHyVXhJB3dufOHbi4uOD27dvYu3cvMjIysHXrVsTGxqJbt27Iy8ur6xBx+PBh9OrVC3p6esjLy0PXrl1x9uxZbN26FRkZGYiJiUFGRgY6deqEO3fu1Fmct27dglQqRXh4OG7evImwsDBs3boVCxYsUNlu3bp1yM7O5pYHDx7A2NgYw4YN4+rExcVh2rRpuHTpEs6cOYOSkhL069cPb9684fW1dOlSZGdn4/79+4iOjsb58+cxY8aM93K876qkpOSD7u+XX36BgYEBevTowdtubm6Oc+fOyY3q7Ny5E02bNpXrp3Xr1rzXKzs7GwkJCbCysuJt+/bbb+XqjhgxgusnLS1Nrh9TU1MAqPH73MPDA9nZ2bhz5w7CwsIQHh4ul0hNmDAB0dHR9eIzTQgh9RIjhNQbhYWFLDU1lRUWFtZ1KDXi4eHBLC0tWUFBAW97dnY209HRYVOmTGGMMbZhwwbWunVrrvzgwYMMANuyZQu3rXfv3mzhwoXc+qFDh1j79u2ZlpYWs7W1ZUFBQaykpIQrB8C2b9/OBg8ezEQiEbOzs2OHDx+Wi/Gzzz7j9jNlyhSmq6vLsrOzeXUKCgpYkyZNmIeHB2OMsaNHjzJDQ0NWWlrKGGMsOTmZAWBz587l2vj6+jIvLy9uPT4+nn3yySdMW1ubWVpasunTp7P8/Hyu3NramoWEhLAJEyYwPT09ZmVlxcLDw1We35UrVzJbW1uVdSo7ePAgEwgELCsrS2mdJ0+eMAAsLi6OF19YWBiv3rJly1irVq1U7i8yMpIZGhpy64GBgczZ2Znt3r2bWVtbMwMDAzZixAj26tUrrs6BAwdYmzZtmLa2NjM2Nma9e/dm+fn5LDAwkAHgLefOnWN3795lAFhMTAz79NNPmZaWFouMjOT2VVFYWBiztrbmbYuIiGCtWrViQqGQmZmZsWnTpnHHXHFfldtVNGDAADZ79mzeNtn+P//8c/b9999z2y9cuMAaNWrEpk6dylxdXeXqV4eyuufOnWMA2PPnz5W2re77nDHGvL292aBBg3j1hg4dytq3by/Xr62tLduxY0e14iekNn2s10jy30IjV4TUY4wxFLwtrZOFVfPvi+fl5eHUqVPw8/ODSCTilZmZmcHLywv79u0DYwyurq5ITU1Fbm4ugPKRlEaNGkEsFgMoH4VITEzkbqGKj4/HuHHjEBAQgNTUVISHhyMqKgohISG8/QQHB2P48OG4fv06+vfvDy8vL94v6y9evEBCQgIGDhwIqVSKmJgYeHl5wczMjNePSCSCn58fTp06hby8PPTs2ROvX79GcnKywnhl22TxZmZmwsPDA19++SWuX7+Offv2ISEhAf7+/rz9rFmzBi4uLkhOToafnx+mTp0qd3teRS9fvoSxsbHqF6KSiIgI9OnTB9bW1ir7BaCy74cPH+Lo0aPo0qVLjfYPlJ+PQ4cO4dixYzh27Bji4uKwYsUKAEB2djZGjRoFHx8fSCQSiMViDB06FIwxzJ49G8OHD+dGUrKzs9G9e3eu33nz5iEgIAASiQTu7u7VimXLli2YNm0aJk2ahL///htHjhyBnZ0dACApKQkAEBkZiezsbG5dkYSEBLi4uCgs8/HxQVRUFLe+c+dOeHl51cmfVqjJ+1yRGzdu4OLFiwpj79y5M+Lj499L3IQQ8rGjPyJMSD1WWFKGVktO1cm+U5e6Q0dY9X8Rt2/fBmMMjo6OCssdHR3x/Plz5Obmok2bNjA2NkZcXBy++uoriMVifPvtt1i3bh0A4MqVKygpKeG+SAcHB2PevHnw9vYGADRr1gzLli3DnDlzeLcrjR8/HqNGjQIALF++HOvXr8eVK1e4Z2B+//13ODk5wcLCAo8fP8aLFy9UxssYQ0ZGBjp37ox27dpBLBbDxcUFYrEYs2bNQnBwMPLz8/Hy5UtkZGTA1dUVQPkzTV5eXpg5cyYAoEWLFli/fj1cXV2xZcsWaGtrAwD69+8PPz8/AMDcuXMRFhaGc+fOoWXLlnLxZGRkYMOGDVi9enWVr4XMo0ePcOLECezZs0dpHalUipkzZ6JHjx5o06YNr2zu3LlYtGgRysrKUFRUhC5dumDt2rXV3n/FfURFRUFfXx8AMHbsWMTGxiIkJATZ2dkoLS3F0KFDuQSwbdu2XFuRSITi4mK5xAAAZs6ciaFDh9Yolu+//x7ffvstAgICuG2dOnUCUP6HSQGgQYMGCvcn8+LFC7x8+RIWFhYKyz///HNMmTIF58+fR8eOHbF//34kJCRg586dcnX//vtv6Onp8baNGTMGW7durdFxWVpa8tatra1x8+ZN5Obm1uh9DgDHjh2Dnp4eSktLUVxcDDU1NWzcuFGurYWFBfeDAyGEED5KrgghtaKqkS6hUAiBQIBPP/0UYrEYffr0QWpqKvz8/LBy5UrcunULcXFx6NSpE3R0dAAA165dw4ULF3gjVbIv/AUFBVw9JycnrlxXVxcGBgZ48uQJt+3w4cMYOHBgjeMFAFdXVy4JjI+PR2hoKPelOS8vDxYWFmjRogUX7/Xr1xEdHc3bj1Qqxd27d7kvuhXjFQgEMDMz48Ur8/DhQ3h4eGDYsGGYOHEit73il3JFX8h37dqFBg0aqJwQYtq0abhx4wYSEhLkyr777juMHz8ejDE8ePAACxYswIABA3D+/Hmoq6tXuX8ZGxsbLrECyp9Lkh2ns7MzevfujbZt28Ld3R39+vXDV199BSMjI6UxyygbOVLmyZMnePToEXr37l2jdpUVFhYCAJckV6apqYkxY8YgMjISd+7cgb29Pe+1rqhly5Y4cuQIb5uBgUGNY4qPj+edY01NTV55dUegAaBXr17YsmUL3rx5g7CwMGhoaODLL7+UqycSiVBQUFDjWAkh5L+AkitC6jGRpjpSl1bvtqf3se/qsLOzg0AggEQiwZAhQ+TKJRIJTExMuJnk3NzcsG3bNsTHx6N9+/YwMDDgEq64uDhuFAgA8vPzERwcrHCUouIX3MpfKAUCAaRSKQDg7du3OHnyJDchhCwWiUSi8HgkEgk0NDRga2vLxbtz505cu3YNmpqacHBwgJubG8RiMZ4/fy4X7+TJkxVO/lBxUgNV8co8evQIvXr1Qvfu3bFt2zZeWUpKCvfvyl/IGWPYuXMnxo4dq/R2NH9/fxw7dgznz5+XG/kAymeFk90y16JFC/z444/o1q0bzp07hz59+qjcf0WqjlNdXR1nzpzBxYsXcfr0aWzYsAELFy7E5cuXuXOvjK6uLm9dTU1NLomoONFF5dtV/62GDRtCIBConDnRx8cHXbp0wY0bN+Dj46O0nlAo5M7xu7C1tVU4S2N13ucCgYAXg66uLre+c+dOODs7IyIiAr6+vry2eXl53GgfIYQQPnrmipB6TCAQQEeoUSeLQCCoVowNGzZE3759sXnzZu6XfZmcnBxER0dj/Pjx3DbZc1cHDhzgnlVyc3PD2bNnceHCBd6U1R06dEBaWhrs7OzkFjW16v33JRaLYWRkBGdnZwDlX8SHDx+OPXv28KasBspHJjZv3owhQ4bA0NAQALjnrsLCwrhESpZcicViuXhTU1MVxluT524ePnwINzc3dOzYEZGRkXLHWrFf2cxwMnFxccjIyJD7QgyUJ17+/v44ePAg/vjjjyqTGBl1dXXu/FS1/5oQCATo0aMHgoODkZycDKFQiIMHDwIoTz7Kysqq1Y+JiQlycnJ4CVbFBFBfXx82NjaIjY1V2oempmaV+xMKhWjVqhVSU1OV1mndujVat26NGzduYPTo0dWK/32ozvvc3d1d6fN2ampqWLBgARYtWiT3ub5x4wbat2//3mInhJCPGSVXhJB3tnHjRhQXF8Pd3R3nz5/HgwcPcPLkSfTt2xf29vZYsmQJV9fJyQlGRkbYs2cPL7k6dOgQiouLeVNcL1myBLt370ZwcDBu3rwJiUSCmJgYLFq0qNqxHTlyRO6WwJCQEJiZmaFv3744ceIEHjx4gPPnz8Pd3R1qamrcM2AAYGRkBCcnJ0RHR3Pxfvrpp7h69SrS09N5I1dz587FxYsX4e/vj5SUFNy+fRuHDx+Wm9BCFVli1bRpU6xevRq5ubnIycmR+4KsTEREBLp06SL3HBVQfivgzz//jD179kBfX5/rt/KX59evXyMnJwfZ2dm4cuUKvvvuO5iYmPAmlXhXly9fxvLly/Hnn3/i/v37+O2335Cbm8vdOmljY4Pr168jLS0NT58+VTnlupubG3Jzc7Fy5UpkZmZi06ZNOHHiBK9OUFAQ1qxZg/Xr1+P27du4evUqNmzYwJXLkq+cnByVI1Pu7u4Kb6Ws6I8//kB2drbKv/tVWlrKnX/Z8vjxY5X9KvLkyRO5fmTnavny5Urf5yUlJdi0aZPKvocNGwZ1dXVevYKCAvz111//yT+iTAgh1UHJFSHknbVo0QJJSUlo1qwZhg8fDmtra3h6esLe3h4XLlzgPaMjEAjQs2dPCAQCfPLJJwDKEy4DAwO4uLjwbvlyd3fHsWPHcPr0aXTq1Aldu3ZFWFiYyhnwKlOUXDVq1AiXLl1Cr169MHnyZNja2sLV1RVlZWVISUmBubk5r76sTJZcGRsbo1WrVjAzM+NNQuHk5IS4uDikp6ejZ8+eaN++PZYsWaJ0AgRFzpw5g4yMDMTGxsLS0hLm5ubcUpWXL1/i119/VThqBZTPmPfy5Uu4ubnx+t23bx+v3pIlS2Bubg4LCwt8/vnn0NXVxenTp9GwYcNqH0dVDAwMcP78efTv3x/29vZYtGgR1qxZA09PTwDAxIkT0bJlS7i4uMDExAQXLlxQ2pejoyM2b96MTZs2wdnZGVeuXMHs2bN5dby9vfHjjz9i8+bNaN26NT7//HPcvn2bK1+zZg3OnDkDKysrlaMyvr6++P3337mZFhXR1dWt8g8q37x5k/camJub1+h9LdOyZUu5fv766y8A5aPKFd/nzZs3x/Dhw9G8eXPu86qKhoYG/P39sXLlSu5voR0+fBhNmzZFz549axwrIYT8FwhYTZ52JYS8V0VFRbh79y5sbW2VPjT/sQgMDMTatWtx5swZdO3atU5iuHr1Kj777DPk5ubKPf9TWUREBPz8/LBv3z6VE0EQMmzYMHTo0AHz58+v61A+uK5du2LGjBl1essj+e/6X7pGkv9dNHJFCHkvgoODsX79ely6dElusoYPpbS0FBs2bKgysQLKRyRiYmIgkUjkbpMjpKJVq1bJTaP+X/D06VMMHTqU+7MHhBBC5NHIFSH1CP0qRwghhChG10jyMaCRK0IIIYQQQgipBZRcEUIIIYQQQkgtoOSKEEIIIYQQQmoBJVeEEEIIIYQQUgsouSKEEEIIIYSQWkDJFSGEEEIIIYTUAkquCCGEEEIIIaQWUHJFCCGE1EBERAT69etX12H852zduhVffPFFXYdBCCEqUXJFCKkVDx48gI+PDywsLCAUCmFtbY2AgAA8e/asrkMDANy7dw8ikQj5+fkAgLy8PMycORPW1tYQCoWwsLCAj48P7t+/X6dxZmVlwdfXF7a2thCJRGjevDkCAwPx9u1ble3Gjx8PgUAgt7Ru3ZqrExoaik6dOkFfXx+mpqYYPHgw0tLSeP3Y2NhwbdXV1WFhYQFfX188f/5c5f6joqLQoEGDf33cio5n8ODBtdZfVQQCAQ4dOlRlvaKiIixevBiBgYHctqCgIN45s7KywqRJk5CXlyfXvrCwEMbGxmjUqBGKi4vlyiuef11dXXTo0AEHDhxQGZOsTUxMjFxZ69atIRAIEBUVpXAfFZcVK1bwjkXZAih/v3l4ePD2f/HiRfTv3x9GRkbQ1tZG27ZtsXbtWpSVlfHqVezDwMAAnTp1wuHDh3l1fHx8cPXqVcTHx6s8H4QQUpcouSKEvLM7d+7AxcUFt2/fxt69e5GRkYGtW7ciNjYW3bp1U/gl80M7fPgwevXqBT09PeTl5aFr1644e/Ystm7dioyMDMTExCAjIwOdOnXCnTt36izOW7duQSqVIjw8HDdv3kRYWBi2bt2KBQsWqGy3bt06ZGdnc8uDBw9gbGyMYcOGcXXi4uIwbdo0XLp0CWfOnEFJSQn69euHN2/e8PpaunQpsrOzcf/+fURHR+P8+fOYMWPGezned1VSUvJB9/fLL7/AwMAAPXr04G1v3bo1d84iIyNx8uRJTJ06Va79r7/+itatW8PBwUFpMic7/8nJyejUqRNGjBiBixcvqozLysoKkZGRvG2XLl1CTk4OdHV1le6j4jJ9+nTMnj2bt83S0lKuroyHh4dcH3v37uXKDx48CFdXV1haWuLcuXO4desWAgIC8P3332PkyJFgjPFiioyMRHZ2Nv7880/06NEDX331Ff7++2+uXCgUYvTo0Vi/fr3Kc0EIIXWKEULqjcLCQpaamsoKCwvrOpQa8fDwYJaWlqygoIC3PTs7m+no6LApU6YwxhjbsGEDa926NVd+8OBBBoBt2bKF29a7d2+2cOFCbv3QoUOsffv2TEtLi9na2rKgoCBWUlLClQNg27dvZ4MHD2YikYjZ2dmxw4cPy8X42WefcfuZMmUK09XVZdnZ2bw6BQUFrEmTJszDw4MxxtjRo0eZoaEhKy0tZYwxlpyczACwuXPncm18fX2Zl5cXtx4fH88++eQTpq2tzSwtLdn06dNZfn4+V25tbc1CQkLYhAkTmJ6eHrOysmLh4eEqz+/KlSuZra2tyjqVHTx4kAkEApaVlaW0zpMnTxgAFhcXx4svLCyMV2/ZsmWsVatWKvcXGRnJDA0NufXAwEDm7OzMdu/ezaytrZmBgQEbMWIEe/XqFVfnwIEDrE2bNkxbW5sZGxuz3r17s/z8fBYYGMgA8JZz586xu3fvMgAsJiaGffrpp0xLS4tFRkZy+6ooLCyMWVtb87ZFRESwVq1aMaFQyMzMzNi0adO4Y664r8rtKhowYACbPXs2b5ui/X/zzTfMyMhIrr2bmxvbunUr27JlC+vbt69ceeXzX1JSwnR0dNi8efOUxmRtbc3mzZvHtLS02P3797ntEydOZNOnT2eGhoYsMjJS6T5UUVbX29ubDRo0SGm7/Px81rBhQzZ06FC5siNHjnCvowwAdvDgQW791atXDABbt24dr21cXBwTCoVy/9eQ/4aP9RpJ/lto5IqQj8HbN8qXkqIa1C2sXt0ayMvLw6lTp+Dn5weRSMQrMzMzg5eXF/bt2wfGGFxdXZGamorc3FwA5SMpjRo1glgsBlA+CpGYmAg3NzcAQHx8PMaNG4eAgACkpqYiPDwcUVFRCAkJ4e0nODgYw4cPx/Xr19G/f394eXnxRstevHiBhIQEDBw4EFKpFDExMfDy8oKZmRmvH5FIBD8/P5w6dQp5eXno2bMnXr9+jeTkZIXxyrbJ4s3MzISHhwe+/PJLXL9+Hfv27UNCQgL8/f15+1mzZg1cXFyQnJwMPz8/TJ06Ve72vIpevnwJY2Nj1S9EJREREejTpw+sra1V9gtAZd8PHz7E0aNH0aVLlxrtHyg/H4cOHcKxY8dw7NgxxMXFYcWKFQCA7OxsjBo1Cj4+PpBIJBCLxRg6dCgYY5g9ezaGDx/OGxnp3r071++8efMQEBAAiUQCd3f3asWyZcsWTJs2DZMmTcLff/+NI0eOwM7ODgCQlJQE4P9GTmTriiQkJMDFxUXlvrKysnDq1CkIhUK585GYmIjhw4dj+PDhiI+Px71791T2paGhAU1NzSpvC23cuDHc3d2xa9cuAEBBQQH27dsHHx8fle3el9OnT+PZs2eYPXu2XNkXX3wBe3t73ihXRaWlpYiIiAAAuXPo4uKC0tJSXL58ufaDJoSQ2lDX2R0h5P8o/VUu0ED58vNX/Lrfmymvu7M/v+4Ptorr1cClS5fkfnWuaO3atQwAe/z4MZNKpaxhw4bswIEDjDHG2rVrx0JDQ5mZmRljjLGEhASmqanJ3rx5wxgrH8Vavnw5r7+ffvqJmZubc+sA2KJFi7j1/Px8BoCdOHGC2xYdHc1cXFwYY4zl5OQwAEp/uf/tt98YAHb58mXGGGMdOnRgq1atYowxNnjwYBYSEsKEQiF7/fo1++effxgAlp6ezhgrH8WaNGkSr7/4+HimpqbGvabW1tZszJgxXLlUKmWmpqa80buKbt++zQwMDNi2bdsUlivy8OFDpq6uzvbt26e0TllZGRswYADr0aMHb7u1tTUTCoVMV1eXaWtrMwCsS5cu7Pnz5yr3qWjkSkdHhzdS9d1337EuXbowxhj766+/GAClI2uKRkZkI1c//vgjb3t1Rq4sLCx4I6KVqXoPyzx//pwBYOfPn5fbv5qaGu+cAWBr167l1VuwYAEbPHgwtz5o0CAWGBjIq1NxpKi4uJgtX76cAWDHjh1TGpeszaFDh1jz5s2ZVCplu3btYu3bt2eMMYUjV7LXuOJS+bgqx1ORt7c3U1dXl+sjJCSEMcbYihUrGACl75uBAwcyR0dHbh0A09bWZrq6ukxNTY0BYDY2NuzZs2dybY2MjFhUVJTS80H+d9HIFfkY0MgVIaRWsErPT1QmFAohEAjw6aefQiwW48WLF0hNTYWfnx+Ki4tx69YtxMXFoVOnTtDR0QEAXLt2DUuXLoWenh63TJw4EdnZ2SgoKOD6dnJy4v6tq6sLAwMDPHnyhNt2+PBhDBw4sMbxAoCrqyvEYjEYY4iPj8fQoUPh6OiIhIQExMXFwcLCAi1atODijYqK4sXr7u4OqVSKu3fvKoxXIBDAzMyMF6/Mw4cP4eHhgWHDhmHixInc9or9T5kyRa7drl270KBBA5UTQkybNg03btxQOAnCd999h5SUFFy/fh2xsbEAgAEDBnCTEFS1fxkbGxvo6+tz6+bm5txxOjs7o3fv3mjbti2GDRuG7du3VzlphkxVI0eVPXnyBI8ePULv3r1r1K6ywsLykV9tbW25spYtWyIlJQVJSUmYO3cu3N3dMX36dK68rKwMu3btwpgxY7htY8aMQVRUFKRSKa+vuXPnQk9PDzo6Ovjhhx+wYsUKDBgwAMuXL+ed+8qTrwwYMAD5+fk4f/48du7cqXLUSvYaV1xqel579eol10fl90NVn7OKwsLCkJKSghMnTqBVq1bYsWOHwlFVkUjE+/wTQkh9olHXARBCqmHBI+VlAnX++ncZKupW+j1l5t+K69WAnZ0dBAIBJBIJhgwZIlcukUhgYmLCzSTn5uaGbdu2IT4+Hu3bt4eBgQGXcMXFxcHV1ZVrm5+fj+DgYAwdOlSu34pfcDU1NXllAoGA+8L69u1bnDx5kpsQQhaLRCJReDwSiQQaGhqwtbXl4t25cyeuXbsGTU1NODg4wM3NDWKxGM+fP5eLd/LkyQonf2jatGm14pV59OgRevXqhe7du2Pbtm28spSUFO7fBgYGvDLGGHbu3ImxY8fK3VIl4+/vj2PHjuH8+fOwtLSUK2/UqBF3y1yLFi3w448/olu3bjh37hz69Omjcv8VqTpOdXV1nDlzBhcvXsTp06exYcMGLFy4EJcvX+bOvTKVJ2hQU1OT+xJfcaKLyrer/lsNGzaEQCBQmAQKhULunMmSoeDgYCxbtgwAcOrUKTx8+BAjRozgtSsrK0NsbCz69u3Lbfvuu+8wfvx46OnpoXHjxtwMfVOmTMHw4cO5ehYWFry+NDQ0MHbsWAQGBuLy5cs4ePCg0mOp+Br/W7q6ukr7sLe3B1D+eap4S6eMRCJBq1ateNvMzMxgZ2cHOzs7REZGon///khNTYWpqSmvXl5eHkxMTN4pdkIIeV9o5IqQj4FQV/miqV2DuqLq1a2Bhg0bom/fvti8eTP3y75MTk4OoqOjMX78eG6b7LmrAwcOcM8qubm54ezZs7hw4QK3DQA6dOiAtLQ07gtXxUVNrXr/fYnFYhgZGcHZ2RlA+Rfx4cOHY8+ePcjJyeHVLSwsxObNmzFkyBAYGhoCAPfcVVhYGJdIyZIrsVgsF29qaqrCeJUlOoo8fPgQbm5u6NixIyIjI+WOtWK/lb94xsXFISMjA76+vnL9Msbg7++PgwcP4o8//qgyiZFRV1fnzk9V+68JgUCAHj16IDg4GMnJyRAKhVxCIBQK5abrVsbExAQ5OTm8BKtiAqivrw8bGxtuFE4RTU3NKvcnFArRqlUrpKamVhnTokWLsHr1ajx6VP7DSEREBEaOHCk30jNy5Eju+SIZWeJjZmbGJVZA+bNxFc+9hob876M+Pj6Ii4vDoEGDYGRkVGWc70u/fv1gbGyMNWvWyJUdOXIEt2/fxqhRo5S279y5Mzp27Cj3fGVmZiaKiorQvn37Wo+ZEEJqAyVXhJB3tnHjRhQXF8Pd3R3nz5/HgwcPcPLkSfTt2xf29vZYsmQJV9fJyQlGRkbYs2cPL7k6dOgQiouLeVNcL1myBLt370ZwcDBu3rwJiUSCmJgYLFq0qNqxHTlyRO6WwJCQEJiZmaFv3744ceIEHjx4gPPnz8Pd3R1qampYt24dV9fIyAhOTk6Ijo7m4v30009x9epVpKen80au5s6di4sXL8Lf3x8pKSm4ffs2Dh8+LDehhSqyxKpp06ZYvXo1cnNzkZOTI5cIKhMREYEuXbqgTZs2cmXTpk3Dzz//jD179kBfX5/rt3JS/Pr1a+Tk5CA7OxtXrlzBd999BxMTE4UjEP/W5cuXsXz5cvz555+4f/8+fvvtN+Tm5sLR0RFA+S2F169fR1paGp4+fapyynU3Nzfk5uZi5cqVyMzMxKZNm3DixAlenaCgIKxZswbr16/H7du3cfXqVWzYsIErlyVfOTk5Km9PdHd3R0JCQpXH161bNzg5OWH58uXIzc3F0aNH4e3tjTZt2vCWcePG4dChQ7X25wocHR3x9OlTuWnZK5O9xhWXV69e1WhfxcXFcn08ffoUQPmoVnh4OA4fPoxJkybh+vXryMrKQkREBMaPH4+vvvqKNwqnyMyZMxEeHo6HDx9y2+Lj49GsWTM0b968RrESQsgHU3ePexFCKvuYH9a9e/cu8/b2Zo0bN2YCgYABYEOHDuUmp6ho0KBBTENDg71+/ZoxVj65gpGREevatatc3ZMnT7Lu3bszkUjEDAwMWOfOnXmTO0DBRAQVH+C3srJiZ86ckes3NzeXTZ8+nVlZWTF1dXUGgHXv3l3hA/QBAQEMAJNIJNw2Z2dnbiKOiq5cucL69u3L9PT0mK6uLnNycuIe8mdM8QQBzs7O3MQGkZGRctOQy5aqvHjxgolEIqWTXyjrt/JkBxXLTExMWP/+/VlycrLKfSubir2iipNMpKamMnd3d2ZiYsK0tLSYvb0927BhA1f3yZMn3HlEpanYFcWyZcsWZmVlxXR1ddm4ceNYSEiI3JTqW7duZS1btmSamprM3NycTZ8+nSs7cuQIs7OzYxoaGiqnYr958yYTiUTsxYsXKo+VMcb27t3LtLS0WFBQEGvQoAF7+/atXJ3i4mLWoEEDbsrxmkyTLlNVG0UTWih6H0yePLnafXt7eyvso2XLlrx658+fZ+7u7szAwIAJhULWunVrtnr1au7PG8go+hxLpVLm4ODApk6dym3r168fCw0NVX4yyP+0j/kaSf47BIzV4GlTQsh7VVRUhLt378LW1lbhQ/Mfk8DAQKxduxZnzpxB165d6ySGq1ev4rPPPkNubq7c8z+VRUREwM/PD/v27VM5EQQhw4YNQ4cOHTB//vy6DuU/5ebNm/jss8+Qnp7O3bZL/lv+l66R5H8X3RZICHkvgoODsX79ely6dElusoYPpbS0FBs2bKgysQIAX19fxMTEQCKRyN0mR0hFq1atgp6eXl2H8Z+TnZ2N3bt3U2JFCKnXaOSKkHqEfpUjhBBCFKNrJPkY0MgVIYQQQgghhNQCSq4IIYQQQgghpBZQckUIIYQQQgghtYCSK0IIIYQQQgipBZRcEUIIIYQQQkgtoOSKEEIIIYQQQmoBJVeEEEIIIYQQUgsouSKEEEL+v7S0NJiZmeH169d1HcoH17VrV/z66691HQYhhHzUKLkihNSKBw8ewMfHBxYWFhAKhbC2tkZAQACePXtW16EBAO7duweRSIT8/HwAQF5eHmbOnAlra2sIhUJYWFjAx8cH9+/fr9M4s7Ky4OvrC1tbW4hEIjRv3hyBgYF4+/atynbjx4+HQCCQW1q3bq20TsOGDeHh4YHr169XGZNAIEBKSkptHCKioqLQoEGDWumrOtzc3DBz5sxq1Z0/fz6mT58OfX19AIBYLIZAIICRkRGKiop4dZOSkrhzKSOrr2jJycmBjY2N0nKBQIDx48cDgNLymJgYbl9lZWUICwtD27Ztoa2tDSMjI3h6euLChQu8OKOiorj2ampqMDc3x4gRI+Te64sWLcK8efMglUqre2oJIYRUQskVIeSd3blzBy4uLrh9+zb27t2LjIwMbN26FbGxsejWrRvy8vLqOkQcPnwYvXr1gp6eHvLy8tC1a1ecPXsWW7duRUZGBmJiYpCRkYFOnTrhzp07dRbnrVu3IJVKER4ejps3byIsLAxbt27FggULVLZbt24dsrOzueXBgwcwNjbGsGHDePU8PDy4OrGxsdDQ0MDnn3/+Pg/pX6sqoaxt9+/fx7Fjx7gEpyJ9fX0cPHiQty0iIgJNmzZV2FdaWhrv9cjOzoapqSmSkpK4ddkoUcW669at4/qIjIyU62Pw4MEAAMYYRo4ciaVLlyIgIAASiQRisRhWVlZwc3PDoUOHePEYGBggOzsbDx8+xK+//oq0tDS594anpydev36NEydO1PDMEUII4TBCSL1RWFjIUlNTWWFhYV2HUiMeHh7M0tKSFRQU8LZnZ2czHR0dNmXKFMYYYxs2bGCtW7fmyg8ePMgAsC1btnDbevfuzRYuXMitHzp0iLVv355paWkxW1tbFhQUxEpKSrhyAGz79u1s8ODBTCQSMTs7O3b48GG5GD/77DNuP1OmTGG6urosOzubV6egoIA1adKEeXh4MMYYO3r0KDM0NGSlpaWMMcaSk5MZADZ37lyuja+vL/Py8uLW4+Pj2SeffMK0tbWZpaUlmz59OsvPz+fKra2tWUhICJswYQLT09NjVlZWLDw8XOX5XblyJbO1tVVZp7KDBw8ygUDAsrKyuG3e3t5s0KBBvHrx8fEMAHvy5InSvu7evcsAsOTkZMYYY+fOnWMA2NmzZ1nHjh2ZSCRi3bp1Y7du3eLapKSkMDc3N6anp8f09fVZhw4dWFJSEte24hIYGMidm6VLl7KxY8cyfX195u3tzdV//vw517fsdbh79y63LSEhgbm6ujKRSMQaNGjA+vXrx/Ly8pi3t7fc/iq2q2jVqlXMxcWFt022/0WLFrE+ffpw2wsKCpihoSFbvHgxq3gpVRSvMqrqAmAHDx5U2jYmJoYBYEeOHJErGzp0KGvYsCH3vouMjGSGhoa8OuvXr2cA2MuXL3nbJ0yYwMaMGVNl7ITUhY/1Gkn+W2jkipB6jDGGgpKCOlkYY9WKMS8vD6dOnYKfnx9EIhGvzMzMDF5eXti3bx8YY3B1dUVqaipyc3MBAHFxcWjUqBHEYjEAoKSkBImJiXBzcwMAxMfHY9y4cQgICEBqairCw8MRFRWFkJAQ3n6Cg4MxfPhwXL9+Hf3794eXlxdvtOzFixdISEjAwIEDIZVKERMTAy8vL5iZmfH6EYlE8PPzw6lTp5CXl4eePXvi9evXSE5OVhivbJss3szMTHh4eODLL7/E9evXsW/fPiQkJMDf35+3nzVr1sDFxQXJycnw8/PD1KlTkZaWpvQcv3z5EsbGxqpfiEoiIiLQp08fWFtbK62Tn5+Pn3/+GXZ2dmjYsGGN+geAhQsXYs2aNfjzzz+hoaEBHx8frszLywuWlpZISkrCX3/9hXnz5kFTUxPdu3fHjz/+yI2kZGdnY/bs2Vy71atXw9nZGcnJyVi8eHG14khJSUHv3r3RqlUrJCYmIiEhAV988QXKysqwbt06dOvWDRMnTuT2Z2VlpbCf+Ph4uLi4KCwbO3Ys4uPjuVvpfv31V9jY2KBDhw7VPV21as+ePbC3t8cXX3whV/btt9/i2bNnOHPmjMK2T548wcGDB6Gurg51dXVeWefOnREfH/9eYiaEkP8CjboOgBCiXGFpIbrs6VIn+748+jJ0NHWqrHf79m0wxuDo6Kiw3NHREc+fP0dubi7atGkDY2NjxMXF4auvvoJYLMa3337L3Qp15coVlJSUoHv37gDKk6Z58+bB29sbANCsWTMsW7YMc+bMQWBgILeP8ePHY9SoUQCA5cuXY/369bhy5Qo8PDwAAL///jucnJxgYWGBx48f48WLFyrjZYwhIyMDnTt3Rrt27SAWi+Hi4gKxWIxZs2YhODgY+fn5ePnyJTIyMuDq6goACA0NhZeXF/d8T4sWLbB+/Xq4urpiy5Yt0NbWBgD0798ffn5+AIC5c+ciLCwM586dQ8uWLeXiycjIwIYNG7B69eoqXwuZR48e4cSJE9izZ49c2bFjx6CnpwcAePPmDczNzXHs2DGoqdX8t7aQkBDu2OfNm4cBAwagqKgI2trauH//Pr777js4ODgAKD8XMoaGhhAIBHLJLQB89tln+Pbbb7n1Bw8eVBnHypUr4eLigs2bN3PbKj5rJhQKoaOjo3B/Fd27d09pcmVqagpPT09ERUVhyZIl2LlzJy+ZrMzS0pK3bm1tjZs3b1Z5LBWNGjVKLvlJTU1F06ZNkZ6ervI9DADp6enctpcvX0JPT6/8B5uCAgDAjBkzoKury2trYWGBBw8eQCqV/qv3BCGE/NfR/5yEkFpR1UiXUCiEQCDAp59+CrFYjBcvXiA1NRV+fn4oLi7GrVu3EBcXh06dOkFHpzypu3btGpYuXQo9PT1ukY1AyL4gAoCTkxP3b11dXRgYGODJkyfctsOHD2PgwIE1jhcAXF1dIRaLwRhDfHw8hg4dCkdHRyQkJCAuLg4WFhZc4nDt2jVERUXx4nV3d4dUKsXdu3cVxitLMirGK/Pw4UN4eHhg2LBhmDhxIre9Yv9TpkyRa7dr1y40aNCAez6nol69eiElJQUpKSm4cuUK3N3d4enpiXv37gEof+5G1nfFBEWRisdhbm4OANxxfPPNN/j666/Rp08frFixApmZmSr7klGW3KgiG7l6V4WFhVwCrIiPjw+ioqJw584dJCYmwsvLS2nd+Ph47jynpKTg999/r3E8YWFhvD5SUlJgYWHBlVd3dBkof2YsJSUFf/75J9asWYMOHTrIjQAD5aO3UqkUxcXFNY6XEEIIjVwRUq+JNES4PPpyne27Ouzs7CAQCCCRSDBkyBC5colEAhMTE252ODc3N2zbtg3x8fFo3749DAwMuIQrLi6OGwkBym9bCw4OxtChQ+X6rfglWFNTk1cmEAi4Gc/evn2LkydPchNCyGKRSCQKj0cikUBDQwO2trZcvDt37sS1a9egqakJBwcHuLm5QSwW4/nz53LxTp48GTNmzJDrt+LEB6rilXn06BF69eqF7t27Y9u2bbyyirP2GRgY8MoYY9i5cyfGjh3LJYgV6erqws7OjlvfsWMHDA0NsX37dnz//ffYsWMHCgsLFcZZWcVy2Yx5suMICgrC6NGjcfz4cZw4cQKBgYGIiYlR+B6pHF9FstGTiolESUkJr07l21H/rUaNGuH58+dKyz09PTFp0iT4+vriiy++UHkrpa2t7TvPiGhmZsZ7rSqyt7dX+R6W1ZFRU1Pj+nJ0dERmZiamTp2Kn376idc2Ly8Purq6tXZOCSHkv4ZGrgipxwQCAXQ0depkqTi9tCoNGzZE3759sXnzZu5LuUxOTg6io6N5s6/Jnrs6cOAA96ySm5sbzp49iwsXLnDbAKBDhw5IS0uDnZ2d3FLdW5bEYjGMjIzg7OwMoPxL5vDhw7Fnzx7k5OTw6hYWFmLz5s0YMmQIDA0NAYB77iosLIxLpGTJlVgslos3NTVVYbyKEh1lHj58CDc3N3Ts2BGRkZFyx1qxX1NTU15ZXFwcMjIy4OvrW619yabnlr12TZo04fpW9bxWddjb22PWrFk4ffo0hg4disjISADlo4JlZWXV6sPExAQAkJ2dzW2rPCW8k5MTYmNjlfZR3f21b98eqampSss1NDQwbtw4iMVilbcEfggjR47E7du3cfToUbmyNWvWcJ9LZebNm4d9+/bh6tWrvO03btxA+/btaz1eQgj5r6DkihDyzjZu3Iji4mK4u7vj/PnzePDgAU6ePIm+ffvC3t4eS5Ys4eo6OTnByMgIe/bs4SVXhw4dQnFxMXr06MHVXbJkCXbv3o3g4GDcvHkTEokEMTExWLRoUbVjO3LkiNwtgSEhITAzM0Pfvn1x4sQJPHjwAOfPn4e7uzvU1NR402EbGRnByckJ0dHRXLyffvoprl69ivT0dN7I1dy5c3Hx4kX4+/sjJSUFt2/fxuHDh+UmtFBFllg1bdoUq1evRm5uLnJycuQSQWUiIiLQpUsXtGnTRmF5cXEx159EIsH06dORn5+vcGKEf6uwsBD+/v4Qi8W4d+8eLly4gKSkJO5ZIBsbG+Tn5yM2NhZPnz7l3eJZmZ2dHaysrBAUFITbt2/j+PHjWLNmDa/O/PnzkZSUBD8/P1y/fh23bt3Cli1b8PTpU25/ly9fRlZWFp4+far07zi5u7sjMTFRZSK2bNky5Obmwt3dXeU5ePLkCXeeZUvlEbeqvHjxQq6PN2/eAChProYMGQJvb29EREQgKysL169fx+TJk3HkyBHs2LFDbhSwIisrKwwZMoT32QTKb2fs169fjeIkhBBSQd1MUkgIUeRjnmb27t27zNvbmzVu3JgJBAIGgA0dOpS9efNGru6gQYOYhoYGe/36NWOMsbKyMmZkZMS6du0qV/fkyZOse/fuTCQSMQMDA9a5c2e2bds2rhwKpqw2NDRkkZGRjDHGrKys2JkzZ+T6zc3NZdOnT2dWVlZMXV2dAWDdu3dnz549k6sbEBDAADCJRMJtc3Z2ZmZmZnJ1r1y5wvr27cv09PSYrq4uc3JyYiEhIVy5tbU1CwsL47VxdnbmpiOPjIyUmzpctlTlxYsXTCQS8c5PRZWnJdfX12edOnViv/zyi8p+lU3Frmx69OLiYjZy5EhmZWXFhEIhs7CwYP7+/rz39ZQpU1jDhg3lpmKvfG4YK59mvW3btkxbW5v17NmTHThwQG5KdbFYzLp37860tLRYgwYNmLu7OxdfWloa69q1KxOJRCqnYi8pKWEWFhbs5MmT3LaqplaX/TmByvUVLYmJiby2VU3FrmgJDQ3lxbtq1SrWunVrJhQKmYGBAXN3d2cJCQm8vhRNxc4YY4mJiQwAu3z5MmOMsX/++YdpamqyBw8eKDxWQurax3yNJP8dAsZq8EQsIeS9Kioqwt27d2Fra6vywfqPQWBgINauXYszZ86ga9eudRLD1atX8dlnnyE3N7fK54ciIiLg5+eHffv2KZwIgvw3bNq0CUeOHMGpU6fqOpQPbu7cuXj+/LncM36E1Bf/S9dI8r+LJrQghLwXwcHBsLGxwaVLl9C5c+c6mda5tLQUGzZsqDKxAgBfX18YGxtDIpHA3d2dHuj/j5o8eTJevHiB169fQ19fv67D+aBMTU3xzTff1HUYhBDyUaORK0LqEfpVjhBCCFGMrpHkY0ATWhBCCCGEEEJILaDkihBCCCGEEEJqASVXhBBCCCGEEFILKLkihBBCCCGEkFpAyRUhhBBCCCGE1AJKrgghhBBCCCGkFlByRQghhBBCCCG1gJIrQggh5P9LS0uDmZkZXr9+Xdeh/KekpqbC0tISb968qetQCCHknVByRQipFQ8ePICPjw8sLCwgFAphbW2NgIAAPHv2rK5DAwDcu3cPIpEI+fn5AIC8vDzMnDkT1tbWEAqFsLCwgI+PD+7fv1+ncWZlZcHX1xe2trYQiURo3rw5AgMD8fbtW5Xtxo8fD4FAILe0bt1aaZ2GDRvCw8MD169frzImgUCAlJSU2jhEREVFoUGDBrXSV3W4ublh5syZ1ao7f/58TJ8+Hfr6+gAAsVjMO2cmJibo378//v77b4Xt3d3doa6ujqSkJLmyiudfKBTCzs4OS5cuRWlpqdJ4ZG2mTJkiVzZt2jQIBAKMHz9e4T4qLh4eHnLHomgRi8WIiopSWFb5j7ZW9zPv5ubG68Pe3h6hoaFgjHF1WrVqha5du2Lt2rVKzwUhhHwMKLkihLyzO3fuwMXFBbdv38bevXuRkZGBrVu3IjY2Ft26dUNeXl5dh4jDhw+jV69e0NPTQ15eHrp27YqzZ89i69atyMjIQExMDDIyMtCpUyfcuXOnzuK8desWpFIpwsPDcfPmTYSFhWHr1q1YsGCBynbr1q1DdnY2tzx48ADGxsYYNmwYr56HhwdXJzY2FhoaGvj888/f5yH9a1UllLXt/v37OHbsGC9ZkUlLS0N2djZOnTqF4uJiDBgwQC6++/fv4+LFi/D398fOnTsV7kN2/m/fvo1vv/0WQUFBWLVqlcq4rKysEBMTg8LCQm5bUVER9uzZg6ZNmyrdR8Vl79696N69O2/b8OHD5ep2794dAGBgYCDXx71797h91PQzP3HiRGRnZyMtLQ3z58/HkiVLsHXrVl6dCRMmYMuWLSqTTUIIqfcYIaTeKCwsZKmpqaywsLCuQ6kRDw8PZmlpyQoKCnjbs7OzmY6ODpsyZQpjjLENGzaw1q1bc+UHDx5kANiWLVu4bb1792YLFy7k1g8dOsTat2/PtLS0mK2tLQsKCmIlJSVcOQC2fft2NnjwYCYSiZidnR07fPiwXIyfffYZt58pU6YwXV1dlp2dzatTUFDAmjRpwjw8PBhjjB09epQZGhqy0tJSxhhjycnJDACbO3cu18bX15d5eXlx6/Hx8eyTTz5h2trazNLSkk2fPp3l5+dz5dbW1iwkJIRNmDCB6enpMSsrKxYeHq7y/K5cuZLZ2tqqrFPZwYMHmUAgYFlZWdw2b29vNmjQIF69+Ph4BoA9efJEaV93795lAFhycjJjjLFz584xAOzs2bOsY8eOTCQSsW7durFbt25xbVJSUpibmxvT09Nj+vr6rEOHDiwpKYlrW3EJDAzkzs3SpUvZ2LFjmb6+PvP29ubqP3/+nOtb9jrcvXuX25aQkMBcXV2ZSCRiDRo0YP369WN5eXnM29tbbn8V21W0atUq5uLiwtumaP9HjhxhANi1a9d4dYOCgtjIkSOZRCJhhoaGcp8HRee/b9++rGvXrkrPvaxNmzZt2M8//8xtj46OZk5OTmzQoEHM29tb5T6q6ruyyMhIZmhoqLJtdT/zjDHm6urKAgICePU6dOjAhgwZwttWXFzMtLS02NmzZ6sVP/nv+VivkeS/hUauCPkISAsKlC/FxdWvW1RUrbo1kZeXh1OnTsHPzw8ikYhXZmZmBi8vL+zbtw+MMbi6uiI1NRW5ubkAgLi4ODRq1AhisRgAUFJSgsTERLi5uQEA4uPjMW7cOAQEBCA1NRXh4eGIiopCSEgIbz/BwcEYPnw4rl+/jv79+8PLy4v3y/mLFy+QkJCAgQMHQiqVIiYmBl5eXjAzM+P1IxKJ4Ofnh1OnTiEvLw89e/bE69evkZycrDBe2TZZvJmZmfDw8MCXX36J69evY9++fUhISIC/vz9vP2vWrIGLiwuSk5Ph5+eHqVOnIi0tTek5fvnyJYyNjVW/EJVERESgT58+sLa2VlonPz8fP//8M+zs7NCwYcMa9Q8ACxcuxJo1a/Dnn39CQ0MDPj4+XJmXlxcsLS2RlJSEv/76C/PmzYOmpia6d++OH3/8kTcyMnv2bK7d6tWr4ezsjOTkZCxevLhacaSkpKB3795o1aoVEhMTkZCQgC+++AJlZWVYt24dunXrxo2cZGdnw8rKSmE/8fHxcHFxUbmvly9fIiYmBgAgFAq57YwxREZGYsyYMXBwcICdnR1++eWXKmMXiUTVGqHz8fFBZGQkt75z505MmDChynbvQ00+85UxxhAfH49bt27xzh9Qfj7btWuH+Pj49xo/IYS8V3Wb2xFCKlL2q1xqSwely71Jk3h1Je3aK62bNWYsr25a124K69XEpUuXGAB28OBBheVr165lANjjx4+ZVCplDRs2ZAcOHGCMMdauXTsWGhrKzMzMGGPlow+amprszZs3jLHyUazly5fz+vvpp5+Yubk5tw6ALVq0iFvPz89nANiJEye4bdHR0dyIRE5ODgPAwsLCFMb722+/MQDs8uXLjLHyX9hXrVrFGGNs8ODBLCQkhAmFQvb69Wv2zz//MAAsPT2dMVY+ijWp0usRHx/P1NTUuNfU2tqajRkzhiuXSqXM1NSUN3pX0e3bt5mBgQHbtm2bwnJFHj58yNTV1dm+fft42729vZm6ujrT1dVlurq6DAAzNzdnf/31l8r+VI1cyRw/fpwB4I5TX1+fRUVFKexP2ciItbU1Gzx4MG9bdUauRo0axXr06KE0fkUjJ4o4OzuzpUuXKtx/xXMGgA0cOJBX7/Tp08zExIQbVQ0LC2Ourq68OhVHiqRSKTtz5gzT0tJis2fPVhqTrM2TJ0+YlpYWy8rKYllZWUxbW5vl5uYqHLmq+BrLlpCQEKV9VxYZGck7ZtkiG9GtyWeesfLzr6mpyXR1dZmmpiYDwLS1tdmFCxfk2g4ZMoSNHz9e6fkg/200ckU+BjRyRQipFUzBr9QVCYVCCAQCfPrppxCLxXjx4gVSU1Ph5+eH4uJi3Lp1C3FxcejUqRN0dHQAANeuXcPSpUuhp6fHLbIRiIIKI2xOTk7cv3V1dWFgYIAnT55w2w4fPoyBAwfWOF4AcHV1hVgs5n5xHzp0KBwdHZGQkIC4uDhYWFigRYsWXLxRUVG8eN3d3SGVSnH37l2F8QoEApiZmfHilXn48CE8PDwwbNgwTJw4kdtesX9FEx3s2rULDRo0wODBg+XKevXqhZSUFKSkpODKlStwd3eHp6cn9zyNp6cn13fFyTAUqXgc5ubmAMAdxzfffIOvv/4affr0wYoVK5CZmamyL5mqRo4UkY1cvavCwkK5SRtk4uPj8ddffyEqKgr29vZyzwvt3LkTI0aMgIaGBgBg1KhRuHDhgtxxHzt2DHp6etDW1oanpydGjBiBoKAgxMfH817X6OhoXjsTExMMGDAAUVFRiIyMxIABA9CoUSOFsVZ8jWWLoveJKvr6+nJ97Nixg1enqs9QRV5eXkhJScGFCxfg6emJhQsXcs93VSQSiXifbUII+dho1HUAhJCqtbz6l/JCdXXeqv2FBOV11fi/p9jFnn2XsMr7sLODQCCARCLBkCFD5MolEglMTEy42eHc3Nywbds2xMfHo3379jAwMOASrri4OLi6unJt8/PzERwcjKFDh8r1W/FLsKamJq9MIBBAKpUCKJ8U4eTJk9yEELJYJBKJwuORSCTQ0NCAra0tF+/OnTtx7do1aGpqwsHBAW5ubhCLxXj+/LlcvJMnT8aMGTPk+q048YCqeGUePXqEXr16oXv37ti2bRuvrOKsfQYGBrwyxhh27tyJsWPHyt12BZQnn3Z2dtz6jh07YGhoiO3bt+P777/Hjh07uIkTKsdZWcVygUAAANxxBAUFYfTo0Th+/DhOnDiBwMBAxMTEKHyPVI6vIrX//56t+EW+pKSEV6fyrWn/VqNGjfD8+XOFZba2tmjQoAFatmyJJ0+eYMSIETh//jyA8tvkDh48iJKSEmzZsoVrU1ZWhp07d/JuY+3Vqxe2bNnCzVApS8ZcXFx4r2vjxo3lYvDx8eFuMd20aZPS46j8Gv8bampqSvuozmfeyMgIJiYm3DZDQ0Ouv/3798POzg5du3ZFnz59eG3z8vLQvHnzd4qdEELqEo1cEfIRUNPRUb5oaVW/bqVf5ZXVq4mGDRuib9++2Lx5M282MwDIyclBdHQ0b/Y12XNXBw4c4J5VcnNzw9mzZ3HhwgVuGwB06NABaWlpsLOzk1vU1Kr335dYLIaRkRGcnZ3Lj1lNDcOHD8eePXuQk5PDq1tYWIjNmzdjyJAhMDQ0BADuuauwsDAukZIlV2KxWC7e1NRUhfEqSnSUefjwIdzc3NCxY0dERkbKHWvFfk1NTXllcXFxyMjIgK+vb7X2JRAIoKamxr12TZo04fpW9bxWddjb22PWrFk4ffo0hg4dyj0zJBQKUVZWVq0+ZF/Qs7OzuW2Vp4R3cnJCbGys0j6qu7/27dsjNTW1ynrTpk3DjRs3cPDgQQBAdHQ0LC0tce3aNd5Iz5o1axAVFcXbtyzxadq0KZdYAeUJYsXXVTYVfEUeHh54+/YtSkpK4O7uXmWc70t1PvMjRozgEu7K9PT0EBAQgNmzZ8uNft24cQPt27d/b7ETQsj7RskVIeSdbdy4EcXFxXB3d8f58+fx4MEDnDx5En379oW9vT2WLFnC1XVycoKRkRH27NnDS64OHTqE4uJi9OjRg6u7ZMkS7N69G8HBwbh58yYkEgliYmKwaNGiasd25MgRuVsCQ0JCYGZmhr59++LEiRN48OABzp8/D3d3d6ipqWHdunVcXSMjIzg5OSE6OpqL99NPP8XVq1eRnp7OG7maO3cuNxV3SkoKbt++jcOHD8tNaKGKLLFq2rQpVq9ejdzcXOTk5MglgspERESgS5cuaNOmjcLy4uJirj+JRILp06cjPz8fX3zxRbVjrEphYSH8/f0hFotx7949XLhwAUlJSXB0dAQA2NjYID8/H7GxsXj69KnK28Ds7OxgZWWFoKAg3L59G8ePH8eaNWt4debPn4+kpCT4+fnh+vXruHXrFrZs2YKnT59y+7t8+TKysrLw9OlTuVFCGXd3dyQmJlaZiOno6GDixIkIDAwEYwwRERH46quv0KZNG97i6+uLp0+f4uTJkzU5fUqpq6tDIpEgNTUV6pVGrCuq+BrLFtm5qC7GmFwfOTk53LlT9Zlv0qSJ3KQzlU2ePBnp6en49ddfuW1ZWVl4+PCh3GgWIYR8TCi5IoS8sxYtWiApKQnNmjXD8OHDYW1tDU9PT9jb2+PChQvQ09Pj6goEAvTs2RMCgQCffPIJgPKEy8DAAC4uLrzbwtzd3XHs2DGcPn0anTp1QteuXREWFlajERVFyVWjRo1w6dIl9OrVC5MnT4atrS1cXV1RVlaGlJQU7vkhGVmZLLkyNjZGq1atYGZmhpYtW3L1nJycEBcXh/T0dPTs2RPt27fHkiVLYGFhUe14z5w5g4yMDMTGxsLS0hLm5ubcUpWXL1/i119/VTlqdfLkSa6/Ll26ICkpiTeKWBvU1dXx7NkzjBs3Dvb29hg+fDg8PT0RHBwMAOjevTumTJmCESNGwMTEBCtXrlTal6amJvbu3Ytbt27ByckJP/zwA77//nteHXt7e5w+fRrXrl1D586d0a1bNxw+fJgbGZo9ezbU1dXRqlUrmJiYKP1D0Z6entDQ0MDZs1XfLuvv7w+JRIKVK1fi2rVr+PLLL+XqGBoaonfv3oiIiKiyv+oyMDCQuxW0soqvsWyRfdaq69WrV3J9mJubc8/UtWjRAn/++Sf3mW/evDkmTZqEXr16ITExscrZLY2NjTFu3DgEBQVxCdvevXvRr1+/dx4xJYSQuiRgNXkilRDyXhUVFeHu3buwtbVV+mD9xyIwMBBr167FmTNn0LVr1zqJ4erVq/jss8+Qm5tb5fNDERER8PPzw759+xROBEH+GzZt2oQjR47g1KlTdR3Kf8rbt2/RokUL7Nmzhzd6TUhF/0vXSPK/iya0IIS8F8HBwbCxscGlS5fQuXPnaj8jVZtKS0uxYcOGKhMrAPD19YWxsTEkEgnc3d1rbZIE8nGZPHkyXrx4gdevXyt87om8H/fv38eCBQsosSKEfPRo5IqQeoR+lSOEEEIUo2sk+RjQM1eEEEIIIYQQUgsouSKEEEIIIYSQWkDJFSGEEEIIIYTUAkquCCGEEEIIIaQWUHJFCCGEEEIIIbWAkitCCCGEEEIIqQWUXBFCCCGEEEJILaDkihDyztzc3DBz5sy6DkMlGxsb/Pjjjx9Nv7VJIBDg0KFDdR3GexEUFIR27drVap9ZWVkQCARISUmp1X5VSUtLg5mZGV6/fv3B9llfdO3aFb/++mtdh0EIIbWCkitCyDv77bffsGzZsmrXr4svr7Vp165d+OSTTwAASUlJmDRpUrXbisViCAQCvHjx4j1F935s374dPXv2hJGREYyMjNCnTx9cuXKl2u3Hjx8PgUDAWzw8PFS2iYqKkmsjW548efKuh/Te1eRHh/nz52P69OnQ19cH8H/vEyMjIxQVFfHqJiUlcedBRlZf0ZKTkwMbGxul5QKBAOPHjwcApeUxMTHcvsrKyhAWFoa2bdtCW1sbRkZG8PT0xIULF3hxVnz91NTUYG5ujhEjRuD+/fu8eosWLcK8efMglUqre2oJIaTeouSKEPLOjI2NuS+FH1pJSckH3+fhw4cxcOBAAICJiQl0dHQ+eAyMMZSWln6w/YnFYowaNQrnzp1DYmIirKys0K9fPzx8+LDafXh4eCA7O5tb9u7dq7L+iBEjePWzs7Ph7u4OV1dXmJqavush1Rv379/HsWPHuASnIn19fRw8eJC3LSIiAk2bNlXYV1pamtw5MzU1RVJSErcuGyWqWHfdunVcH5GRkXJ9DB48GED5+27kyJFYunQpAgICIJFIIBaLYWVlBTc3N7kRUgMDA2RnZ+Phw4f49ddfkZaWhmHDhvHqeHp64vXr1zhx4kQNzxwhhNQ/lFwRQt5Z5V/obWxssHz5cvj4+EBfXx9NmzbFtm3buHJbW1sAQPv27SEQCODm5saV7dixA46OjtDW1oaDgwM2b97MlclGvPbt2wdXV1doa2sjOjoa48ePx+DBg7F69WqYm5ujYcOGmDZtmsrESyAQIDw8HJ9//jl0dHTg6OiIxMREZGRkwM3NDbq6uujevTsyMzN57YqKinD69Gkuuap8W6BAIMCOHTswZMgQ6OjooEWLFjhy5AgXf69evQAARkZGvBEDqVSK0NBQ2NraQiQSwdnZGb/88gvXr2xk4sSJE+jYsSO0tLSQkJAANzc3zJgxA3PmzIGxsTHMzMwQFBSk9Lhl53D//v3o2bMnRCIROnXqhPT0dCQlJcHFxQV6enrw9PREbm4u1y46Ohp+fn5o164dHBwcsGPHDkilUsTGxirdV2VaWlowMzPjFiMjI5X1RSIRr766ujr++OMP+Pr6ytUNDw+HlZUVdHR0MHz4cLx8+VJl31KpFCtXroSdnR20tLTQtGlThISE8OrcuXMHvXr1go6ODpydnZGYmMiVPXv2DKNGjUKTJk2go6ODtm3b8pLF8ePHIy4uDuvWreNGb7KyshTGsn//fjg7O6NJkyZyZd7e3ti5cye3XlhYiJiYGHh7eyvsy9TUlHfOzMzMoKamBhMTE27d2NhYrq6hoSHXR4MGDeT60NbW5mL95ZdfsHv3bnz99dewtbWFs7Mztm3bhoEDB+Lrr7/GmzdvuL4EAgHMzMxgbm6O7t27w9fXF1euXMGrV6+4Ourq6ujfvz9vdIwQQj5ajBBSbxQWFrLU1FRWWFjIGGNMKpWyt0WldbJIpdJqx+3q6soCAgK4dWtra2ZsbMw2bdrEbt++zUJDQ5mamhq7desWY4yxK1euMADs7NmzLDs7mz179owxxtjPP//MzM3N2a+//sru3LnDfv31V2ZsbMyioqIYY4zdvXuXAWA2NjZcnUePHjFvb29mYGDApkyZwiQSCTt69CjT0dFh27Zt48UUFhbGrQNgTZo0Yfv27WNpaWls8ODBzMbGhn322Wfs5MmTLDU1lXXt2pV5eHjwjvXYsWPM3t5eZb+WlpZsz5497Pbt22zGjBlMT0+PPXv2jJWWlrJff/2VAWBpaWksOzubvXjxgjHG2Pfff88cHBzYyZMnWWZmJouMjGRaWlpMLBYzxhg7d+4cA8CcnJzY6dOnWUZGBnv27BlzdXVlBgYGLCgoiKWnp7Ndu3YxgUDATp8+zYvp4MGDvHMo25fsODt27Mjc3NxYQkICu3r1KrOzs2NTpkxR+pq/evWKaWtrs6NHj1b19mCMMebt7c0MDQ2ZiYkJs7e3Z1OmTGFPnz6tVluZ1atXM0NDQ1ZQUMBtCwwMZLq6uuyzzz5jycnJLC4ujtnZ2bHRo0er7GvOnDnMyMiIRUVFsYyMDBYfH8+2b9/OGOOfo2PHjrG0tDT21VdfMWtra1ZSUsIYY+yff/5hq1atYsnJySwzM5OtX7+eqaurs8uXLzPGGHvx4gXr1q0bmzhxIsvOzmbZ2dmstLRUYSwDBw6UO9ey1zstLY1paWmxe/fuMcYY++mnn5izszM7ePAgq3gJl9V//vx5ledRVd2K7xVlsVZ8/1d04cIFXvvIyEhmaGjIlT9+/Jj16tWLqaurs/z8fF7bLVu2MGtr6ypjJ/9tla+RhNRHGnWQzxFCqqn0rRTbAuLqZN+T1rlCU0v9X7fv378//Pz8AABz585FWFgYzp07h5YtW8LExAQA0LBhQ5iZmXFtAgMDsWbNGgwdOhRA+QhXamoqwsPDeb/Uz5w5k6sjY2RkhI0bN0JdXR0ODg4YMGAAYmNjMXHiRKUxTpgwAcOHD+di7NatGxYvXgx3d3cAQEBAACZMmMBrU/GWQGXGjx+PUaNGAQCWL1+O9evX48qVK/Dw8OCNGjRo0AAAUFxcjOXLl+Ps2bPo1q0bAKBZs2ZISEhAeHg4XF1dub6XLl2Kvn378vbn5OSEwMBAAECLFi2wceNGxMbGytWraPbs2bzjHDVqFGJjY9GjRw8AgK+vL6KiopS2nzt3LiwsLNCnTx+V50LGw8MDQ4cOha2tLTIzM7FgwQJ4enoiMTER6urVe59FRERg9OjREIlEvO1FRUXYvXs3N/KzYcMGDBgwAGvWrOG9v2Rev36NdevWYePGjdz7qnnz5txzdDKzZ8/GgAEDAADBwcFo3bo1MjIy4ODggCZNmmD27Nlc3enTp+PUqVPYv38/OnfuDENDQwiFQujo6CiMoaJ79+7BxcVFYZmpqSk8PT0RFRWFJUuWYOfOnfDx8VHal6WlJW/d2toaN2/eVLn/ykaNGiX3mqSmpqJp06ZIT0+Ho6Ojwnay7enp6dy2ly9fQk9PD4wxFBQUAABmzJgBXV1dXlsLCws8ePAAUqkUamp0Uw0h5ONFyRUh5L1wcnLi/i27NUjVJARv3rxBZmYmfH19eQlRaWkp75YlAAq/iLZu3Zr3hdDc3Bx///13tWNs3LgxAKBt27a8bUVFRXj16hUMDAzAGMPRo0exf//+averq6sLAwMDlceekZGBgoICuWTo7du3aN++PW+bomOvuD+g/NirmvChOseurI8VK1YgJiYGYrGYu12sKiNHjuT+3bZtWzg5OaF58+YQi8Xo3bs3PD09ER8fD0BxQpCYmAiJRIKffvpJru+mTZvybqnr1q0bpFIp0tLScPv2bXh6enJl4eHhaNGiBYqLi9G7d2+VMVc8R+bm5gCAJ0+ewMHBAWVlZVi+fDn279+Phw8f4u3btyguLv5Xz98VFhaqPI8+Pj4ICAjAmDFjkJiYiAMHDnDnqrL4+Hje84+ampo1jicsLEwuabawsOD+zRirdl/6+vq4evUqSkpKcOLECURHR8vdfgmU3wIqlUpRXFwslzwTQsjHhJIrQuoxDaEaJq1zrbrie9r3u6j8pU4gEKicDSw/Px9A+ax0Xbp04ZVV/hW98q/e/2Z/ldvIZl5TtE3Wz5UrV1BaWoru3btXu9/qxCI79uPHj8s9d6OlpcVb/5DHrqiP1atXY8WKFTh79qxcUlcTzZo1Q6NGjZCRkYHevXtjx44dKCwsVHg8QPmzeO3atUPHjh1rtB8XFxferJSNGzdW+uxTZareC6tWrcK6devw448/om3bttDV1cXMmTPx9u3bGsUHAI0aNcLz58+Vlnt6emLSpEnw9fXFF198gYYNGyqta2try42I/ltmZmaws7NTWGZvbw+JRKKwTLbd3t6e26ampsb15ejoiMzMTEydOlUuSc7Ly4Ouri4lVoSQjx4lV4TUYwKB4J1uzauvhEIhgPIpnWUaN24MCwsL3LlzB15eXnUVmkqHDx/GgAEDqn0bmyKKjr1Vq1bQ0tLC/fv3ebcA1jcrV65ESEgITp06pfQ2tur6559/8OzZM25ESNFkDjL5+fnYv38/QkNDFZbfv38fjx494kZXLl26BDU1NbRs2RIikUguUWjRogVEIhFiY2Px9ddf/6v4L1y4gEGDBmHMmDEAypOu9PR0tGrViqsjFAp5r7My7du3R2pqqtJyDQ0NjBs3DitXrqzzGfVGjhyJ0aNH4+jRo/jiiy94ZWvWrEHDhg1V3o46b948NG/eHLNmzUKHDh247Tdu3JAbpSWEkI8RJVeEkA/O1NQUIpEIJ0+ehKWlJbS1tWFoaIjg4GDMmDEDhoaG8PDwQHFxMf788088f/4c33zzTV2HjSNHjmDp0qXv1Ie1tTUEAgGOHTuG/v37QyQSQV9fH7Nnz8asWbMglUrxySef4OXLl7hw4QIMDAyUzgz3If3www9YsmQJ9uzZAxsbG+Tk5AAA9PT0oKenp7Jtfn4+goOD8eWXX8LMzAyZmZmYM2cO7OzsuOe+VNm3bx9KS0u5RKYybW1teHt7Y/Xq1Xj16hVmzJiB4cOHK33WSVtbG3PnzsWcOXMgFArRo0cP5Obm4ubNmwpnIlSkRYsW+OWXX3Dx4kUYGRlh7dq1ePz4MS+5srGxweXLl5GVlQU9PT0YGxsrfJ7I3d0dX3/9NcrKypQm7suWLcN3332nctQKKL9tsfLfxWrYsGGNbg988eIF9/rK6OvrQ1dXFyNHjsSBAwfg7e2NVatWoXfv3nj16hU2bdqEI0eO4MCBAwpHV2WsrKwwZMgQLFmyBMeOHeO2x8fHo1+/ftWOkRBC6it6apQQ8sFpaGhg/fr1CA8Ph4WFBQYNGgQA+Prrr7Fjxw5ERkaibdu2cHV1RVRUFDd1e13KzMxERkZGtZIBVZo0aYLg4GDMmzcPjRs3hr+/P4DyL8+LFy9GaGgoHB0d4eHhgePHj9eLYweALVu24O3bt/jqq69gbm7OLatXr66yrbq6Oq5fv46BAwfC3t4evr6+6NixI+Lj4+Vue1QkIiICQ4cOVXq7m52dHYYOHYr+/fujX79+cHJy4k3hr8jixYvx7bffYsmSJXB0dMSIESNq9IeJFy1ahA4dOsDd3R1ubm4wMzPj/haUzOzZs6Guro5WrVrBxMRE7o/nynh6ekJDQwNnz55Vuj+hUIhGjRrx/nCwIi1btuS9Pubm5vjrr7+qfVxA+UQvlfvYsGEDAHDT+C9YsABhYWFo2bIlevbsiXv37kEsFsudA0VmzZqF48ePc3+E+uHDh7h48aLc5DGEEPIxErCaPJlKCHmvioqKcPfuXdja2lZ7ogDyYaxduxZnz57F77//XtehkP9BspGfU6dO1XUoH9zcuXPx/Plz3t/CI0QRukaSjwHdFkgIIdVgaWmJ+fPn13UY5H/U5MmT8eLFC7x+/Zo3299/gampab247ZcQQmoDjVwRUo/Qr3LkYxQfH8+b7rwy2WyIhBDyLugaST4GNHJFCCHknVSe7pwQQgj5r6LkihBCyDtRNN05IYQQ8l9EswUSQgghhBBCSC2g5IoQQgghhBBCagElV4QQQgghhBBSCyi5IoQQQgghhJBaQMkVIYQQQgghhNQCSq4IIe/Mzc0NM2fOrOswVLKxscGPP/740fRbmwQCAQ4dOlTXYbwXQUFBaNeuXa32mZWVBYFA8EGnl09LS4OZmRlev379wfZJgNTUVFhaWuLNmzd1HQoh5H8EJVeEkHf222+/YdmyZdWuXxdfXmvTrl278MknnwAAkpKSMGnSpGq3FYvFEAgEePHixXuK7v3Yvn07evbsCSMjIxgZGaFPnz64cuVKtduPHz8eAoGAt3h4eKhsExUVJddGtjx58uRdD+m9q8mPDvPnz8f06dOhr68P4P/eJ7LFxMQE/fv3x99//62wvbu7O9TV1ZGUlCRXVvHcC4VC2NnZYenSpSgtLVUaj6zNlClT5MqmTZsGgUCA8ePHK9xH5de48rEoWsRisdLXu/Ifi33w4AF8fHxgYWEBoVAIa2trBAQE4NmzZ7x6bm5uvD7s7e0RGhoKxhhXp1WrVujatSvWrl2r9FwQQkhNUHJFCHlnxsbG3JfCD62kpOSD7/Pw4cMYOHAgAMDExAQ6OjofPAbGmMovx7VNLBZj1KhROHfuHBITE2FlZYV+/frh4cOH1e7Dw8MD2dnZ3LJ3716V9UeMGMGrn52dDXd3d7i6usLU1PRdD6neuH//Po4dO8ZLVmTS0tKQnZ2NU6dOobi4GAMGDMDbt2/l2l+8eBH+/v7YuXOnwn3Izv3t27fx7bffIigoCKtWrVIZl5WVFWJiYlBYWMhtKyoqwp49e9C0aVOl+6j8Gnfv3p23bfjw4XJ1u3fvDgAwMDCQ6+PevXvcPu7cuQMXFxfcvn0be/fuRUZGBrZu3YrY2Fh069YNeXl5vJgmTpyI7OxspKWlYf78+ViyZAm2bt3KqzNhwgRs2bLlg36eCCH/uyi5IoS8s8q/0NvY2GD58uXw8fGBvr4+mjZtim3btnHltra2AID27dtDIBDAzc2NK9uxYwccHR2hra0NBwcHbN68mSuTjXjt27cPrq6u0NbWRnR0NMaPH4/Bgwdj9erVMDc3R8OGDTFt2jSViZdAIEB4eDg+//xz6OjowNHREYmJicjIyICbmxt0dXXRvXt3ZGZm8toVFRXh9OnTXHJV+bZAgUCAHTt2YMiQIdDR0UGLFi1w5MgRLv5evXoBAIyMjHi//kulUoSGhsLW1hYikQjOzs745ZdfuH5lv/6fOHECHTt2hJaWFhISEuDm5oYZM2Zgzpw5MDY2hpmZGYKCgpQet+wc7t+/Hz179oRIJEKnTp2Qnp6OpKQkuLi4QE9PD56ensjNzeXaRUdHw8/PD+3atYODgwN27NgBqVSK2NhYpfuqTEtLC2ZmZtxiZGSksr5IJOLVV1dXxx9//AFfX1+5uuHh4bCysoKOjg6GDx+Oly9fquxbKpVi5cqVsLOzg5aWFpo2bYqQkBBenTt37qBXr17Q0dGBs7MzEhMTubJnz55h1KhRaNKkCXR0dNC2bVtesjh+/HjExcVh3bp13OhJVlaWwlj2798PZ2dnNGnSRK7M1NQUZmZm6NChA2bOnIkHDx7g1q1bvDqRkZH4/PPPMXXqVOzdu5eXDMnIzr21tTWmTp2KPn36cO9LZTp06AArKyv89ttv3LbffvsNTZs2Rfv27ZXuo/JrLBQKedtEIpFcXaFQCKD881O5j8aNG3P7mDZtGoRCIU6fPg1XV1c0bdoUnp6eOHv2LB4+fIiFCxfyYtLR0eGOe8KECXBycsKZM2d4dfr27Yu8vDzExcWpPB+EEFIdlFwR8hEoKSpSupRW+hVbVd2St8XVqlsb1qxZAxcXFyQnJ8PPzw9Tp05FWloaAHC3k509exbZ2dncl7fo6GgsWbIEISEhkEgkWL58ORYvXoxdu3bx+p43bx4CAgIgkUjg7u4OADh37hwyMzNx7tw57Nq1C1FRUYiKilIZ47JlyzBu3DikpKTAwcEBo0ePxuTJkzF//nz8+eefYIzB39+f1yY2NhZNmjSBg4OD0n6Dg4MxfPhwXL9+Hf3794eXlxfy8vJgZWWFX3/9FcD/jUisW7cOABAaGordu3dj69atuHnzJmbNmoUxY8bIfeGbN28eVqxYAYlEAicnJwDltynq6uri8uXLWLlyJZYuXSr3BbKywMBALFq0CFevXoWGhgZGjx6NOXPmYN26dYiPj0dGRgaWLFmitH1BQQFKSkpgbGyscj8VicVimJqaomXLlpg6darcbVxV2b17N3R0dPDVV1/xtmdkZGD//v04evQoTp48yb3nVJk/fz5WrFiBxYsXIzU1FXv27OF9iQeAhQsXYvbs2UhJSYG9vT1GjRrFjW4UFRWhY8eOOH78OG7cuIFJkyZh7Nix3Ht73bp16NatGzdykp2dDSsrK4WxxMfHw8XFRWW8L1++RExMDABwiQhQPoIZGRmJMWPGwMHBAXZ2drykXBmRSCQ3AqaIj48PIiMjufWdO3diwoQJVbZ7H/Ly8nDq1Cn4+flBJBLxyszMzODl5YV9+/bxbvuTYYwhPj4et27d4p0/oPx8tmvXDvHx8e81fkLIf4NGXQdACKnaeu+vlJbZtnfB0HlB3PrmSV4oLS5WWNeyVRuMCFzBrW/390Hh61dy9b7dd+zfB/v/9e/fn/uCO3fuXISFheHcuXNo2bIlTExMAAANGzaEmZkZ1yYwMBBr1qzB0KFDy4/N1hapqakIDw+Ht7c3V2/mzJlcHRkjIyNs3LgR6urqcHBwwIABAxAbG4uJEycqjXHChAkYPnw4F2O3bt2wePFiLmELCAiQ+yJZ8ZZAZcaPH49Ro0YBAJYvX47169fjypUr8PDw4JIRU1NTNGjQAABQXFyM5cuX4+zZs+jWrRsAoFmzZkhISEB4eDhcXV25vpcuXYq+ffvy9ufk5ITAwEAAQIsWLbBx40bExsbK1ato9uzZvOMcNWoUYmNj0aNHDwCAr6+vyuR07ty5sLCwQJ8+fVSeCxkPDw8MHToUtra2yMzMxIIFC+Dp6YnExESoq6tXq4+IiAiMHj1a7ot1UVERdu/ezY38bNiwAQMGDMCaNWt47y+Z169fY926ddi4cSP3vmrevDn3HJ3M7NmzMWDAAADlCXPr1q2RkZEBBwcHNGnSBLNnz+bqTp8+HadOncL+/fvRuXNnGBoaQigUciMnqty7d09pcmVpaQkA3IQLAwcO5CX2Z8+eRUFBAfdajhkzBhERERg7dqzC/hhjiI2NxalTpzB9+nSVccn6mz9/Pndr3oULFxATEwOxWCxX99ixY9DT0+NtW7BgARYsWFDlfmRevnwp10fPnj1x4sQJ3L59G4wxODo6Kmzr6OiI58+fIzc3l7ttdPPmzdixYwfevn2LkpISaGtrY8aMGXJtLSwseLcfEkLIv0XJFSHkvZCNqgD/d6uPqkkI3rx5g8zMTPj6+vISotLSUhgaGvLqKvoi2rp1a96XdHNzc6UP/yuKUTZq0bZtW962oqIivHr1CgYGBmCM4ejRo9i/f3+1+9XV1YWBgYHKY8/IyEBBQYFcMvT27Vu5268UHXvF/QHlx17VhA/VOXZlfaxYsYL7gl15sgFlRo4cyf27bdu2cHJyQvPmzSEWi9G7d294enpyIwfW1ta4efMmr31iYiIkEgl++uknub6bNm3Ku6WuW7dukEqlSEtLw+3bt+Hp6cmVhYeHo0WLFiguLkbv3r1VxlzxHJmbmwMAnjx5AgcHB5SVlWH58uXYv38/Hj58iLdv36K4uPhfPX9XWFio9DzGx8dDR0cHly5dwvLly+WeF9q5cydGjBgBDY3yy/moUaPw3XffITMzE82bN+fqyRKfkpISSKVSjB49GkFBQYiPj5c7P15eXty6iYkJBgwYgKioKDDGMGDAADRq1EhhrL169cKWLVt422oysgkA+vr6uHr1Km9b5WRa0ciUMl5eXli4cCGeP3+OwMBAdO/enXu+q/I+CgoKahQrIYQoQskVIR+BGbuU3+YjUOPf3eu3LVp5R2oC3urEjYoffq8NmpqavHWBQACpVKq0fn5+PoDyWem6dOnCK6s8sqGrq/vO+6vcRiAQKN0m6+fKlSsoLS1V+OXsXWKRHfvx48flnrvR0tLirX/IY1fUx+rVq7FixQqcPXtWLqmriWbNmqFRo0bIyMhA7969sWPHDu5ZocrHA5Q/i9euXTt07NixRvtxcXHhzUrZuHFjpc8+VabqvbBq1SqsW7cOP/74I9q2bQtdXV3MnDmzWrfaVdaoUSM8f/5cYZmtrS0aNGiAli1b4smTJxgxYgTOnz8PoPw2uYMHD6KkpISX1JSVlWHnzp28Z8hkiY9QKISFhQWXjCk6P5X5+Phwt8du2rRJ6XHo6urCzs6u+geugJqamtI+7OzsIBAIIJFIMGTIELlyiUQCIyMjbmQcAAwNDbn+9u/fDzs7O3Tt2lVuxDUvL4+XjBJCyL9FyRUhHwHNao4OvM+6tUn2zENZWRm3rXHjxrCwsMCdO3d4v5zXJ4cPH8aAAQOqfRubIoqOvVWrVtDS0sL9+/d5twDWNytXrkRISAhOnTpV5TNCVfnnn3/w7NkzbkRI0WQOMvn5+di/fz9CQ0MVlt+/fx+PHj2ChYUFAODSpUtQU1NDy5YtIRKJ5L6st2jRAiKRCLGxsfj666//VfwXLlzAoEGDMGbMGADlSVd6ejpatWrF1REKhbzXWZn27dsjNTW1ynrTpk1DaGgoDh48iCFDhiA6OhqWlpZyf8Ps9OnTWLNmDZYuXcq9V5UlPorOT2UeHh54+/YtBAIBd/thXWjYsCH69u2LzZs3Y9asWbwRrZycHERHR2PcuHFcIlyZnp4eAgICMHv2bCQnJ/Pq3bhxQ+5ZPkII+TdoQgtCyAdnamoKkUiEkydP4vHjx9zMbsHBwQgNDcX69euRnp6Ov//+G5GRkfXmb9AcOXKkyuetqmJtbQ2BQIBjx44hNzcX+fn50NfXx+zZszFr1izs2rULmZmZuHr1KjZs2CA3mUdd+eGHH7B48WLs3LkTNjY2yMnJQU5ODjfqpkp+fj6+++47XLp0CVlZWYiNjcWgQYNgZ2dXrS/r+/btQ2lpKZfIVKatrQ1vb29cu3YN8fHxmDFjBoYPH670WSdtbW3MnTsXc+bMwe7du5GZmYlLly4hIiKiylhkWrRogTNnzuDixYuQSCSYPHkyHj9+zKtjY2ODy5cvIysrC0+fPlU6muju7o7ExMQqEzEdHR1MnDgRgYGBYIwhIiICX331Fdq0acNbfH198fTpU5w8ebLax6OKuro6JBIJUlNTVf6wUFxczL0vZMvTp09rtC/GmFwfOTk53LnbuHEjiouL4e7ujvPnz+PBgwc4efIk+vbtiyZNmsjN+FjZ5MmTkZ6ezk0sA5TPoPnw4cNqPz9ICCGqUHJFCPngNDQ0sH79eoSHh8PCwgKDBg0CAHz99dfYsWMHIiMj0bZtW7i6uiIqKoqbur0uZWZmIiMj451/uW/SpAmCg4Mxb948NG7cmLvdatmyZVi8eDFCQ0Ph6OgIDw8PHD9+vF4cOwBs2bIFb9++xVdffQVzc3NuWb16dZVt1dXVcf36dQwcOBD29vbw9fVFx44dER8fL3fboyIREREYOnQoNwFIZXZ2dhg6dCj69++Pfv36wcnJiTeFvyKLFy/Gt99+iyVLlsDR0REjRoyo0R8mXrRoETp06AB3d3e4ubnBzMwMgwcP5tWZPXs21NXV0apVK5iYmOD+/fsK+/L09ISGhgbOnj1b5X79/f0hkUiwcuVKXLt2DV9++aVcHUNDQ/Tu3btGyWJVDAwMYGBgoLLOyZMnee8Nc3NzuUlCqvLq1Su5Pio+Q9iiRQv8+eefaNasGYYPH47mzZtj0qRJ6NXr/7V351FRHOvfwL8DyDIDoggKKAKyLy6IOzHgVTO4gUsUCW6ghijuoLkqLnGPSDQ30biyqBiUnyJGFEQDiEiIqIgKgiCIUcDdiIALPO8fvNOXZmZgUBP0pj7n9DnQXVX9VE/1zFRXd80ApKWlNfqMl46ODiZNmoSVK1dyHbaff/4Zn332GYyNjZsUK8MwjCwCasqToQzD/KWqqqpQWFgIU1NThScKYP4e3333HU6fPo0TJ040dyjM/6CtW7fi2LFjiI+Pb+5Q/lFevXoFCwsLHDhwgJspk/lwsc9I5mPAnrliGIZRQIcOHbB48eLmDoP5H+Xr64unT5/i+fPn0NLSau5w/jGKi4uxZMkS1rFiGOa9YSNXDPMBYVflmI9R/em861PkuSyGYZjGsM9I5mPARq4YhmGYd1J/Om+GYRiG+adinSuGYRjmnSgynTfDMAzD/BOw2QIZhmEYhmEYhmHeA9a5YhiGYRiGYRiGeQ9Y54phGIZhGIZhGOY9YJ0rhmEYhmEYhmGY94B1rhiGYRiGYRiGYd4D1rliGOYvNWXKFIwcObJZY0hKSoJAIMDTp0/lplm5ciW6dev2t8XUnFxcXDBv3rzmDuMfp6ioCAKBoMFp68PCwtCqVau/Laa/mkAgwNGjR/+2/T169Aht27ZFUVHR37bPD8X48eMRHBzc3GEwzD8e61wxDMMACAgIwJkzZ5o7jLdWWVkJkUiE/Pz8j+oLupubGzp27Ah1dXUYGBhg4sSJuHfvXoN5du7cCRcXF7Rs2bLRTnNdFy5cwMCBA9GqVSu0bt0aYrEYV65c4bZLOuGSRUNDA3Z2dti5c6dC5efn58Pb2xsdOnSAmpoaTE1N4enpiYyMDIXyA4CHhwfy8vIUTt+cSktLMXv2bHTq1AlqamowMjLCiBEj3vt51JQLNGvXroW7uztMTEwA/LdDq6ysjLt37/LSlpSUQEVFBQKBgOuMSdLLWn777Te4uLjI3S4QCODi4gIAMDExkbl9w4YNvBjCw8PRs2dPCIVCaGlpwdnZGcePH+elqd8u9fT0MHToUFy9epWXLjAwEGvXrsWzZ88UO7AMw/wlWOeKYRgGgKamJtq0adPcYby1hIQEGBsbf3S/NzVgwAAcOnQIubm5OHz4MAoKCvD55583mKeiogKurq5YsmSJwvspLy+Hq6srOnbsiPT0dJw7dw5aWloQi8V4/fo1L21ubi5KSkqQnZ0NX19fzJgxo9EOQ0ZGBhwdHZGXl4cdO3YgOzsb0dHRsLa2hr+/v8JxamhooG3btgqnby5FRUVwdHTEr7/+iqCgIFy9ehVxcXEYMGAA/Pz8miWmiooK7NmzB1OnTpXa1r59e+zdu5e3Ljw8HO3bt5dZ1unTp1FSUsJbHB0dceTIEe7/33//XSrtkSNHuDJWrVolVcbs2bO57QEBAfD19YWHhweysrLw+++/45NPPoG7uzt+/PFHqZgk7TI+Ph4vX77EsGHD8OrVK267vb09zMzMsH///qYdOIZh3i9iGOaDUVlZSdnZ2VRZWdncoTRJVFQU2dvbk7q6Ouno6NDAgQOpvLyciIgmT55M7u7uFBQURPr6+qSjo0MzZ86kV69ecfmrqqrI39+fDA0NSSgUUq9evSgxMZHbHhoaStra2hQXF0fW1tYkEolILBbTvXv3uDQApBZjY2MiIkpMTCQAdPr0aXJ0dCQNDQ3q27cv3bhxg8u/YsUK6tq1q9w6/vLLL6StrU1v3rwhIqLLly8TAPr666+5NFOnTiUvLy8iInr48CGNHz+eDA0NSUNDg+zt7enAgQO8Mp2dnWn27Nm0cOFCat26NbVr145WrFjBS5OTk0NOTk6kpqZGNjY2lJCQQAAoOjqal87Hx4eLRXK85HF2dqa5c+dy/+/du5ccHR1JU1OT2rVrR56enlRWVsZtlxy/uLg46tatG6mrq9OAAQOorKyMTpw4QdbW1qSlpUWenp704sULLt/JkyfJycmJtLW1SUdHh4YNG0b5+fly4yIiiomJIYFAwGsf8kjievLkSaNpL1y4QACouLiYW5eVlUUA6ObNmw2WZ2ZmRhs3bpRbdk1NDdnZ2ZGjoyNVV1dLbZeUV1hYSADo8OHD5OLiQhoaGtSlSxc6f/48l7b+aydpl3v37iVjY2Nq2bIleXh40J9//smlqa6upnXr1pGJiQmpq6tTly5dKCoqitv++PFj+uKLL0hXV5fU1dXJ3NycQkJCuO3FxcU0duxY0tbWptatW5ObmxsVFhY2eDyHDBlC7du3585zWfUlqj0vd+3aRSNHjiQNDQ0yNzenmJgYbvubN2/Ix8eHi93S0pK2bNnCq3/987rue0NdUVFRpKenx1snOeaBgYFkYWHB22ZpaUnLli0jAFx9JekvX77cYP0bS2tsbEybN2+WmzctLY0A0H/+8x+pbQsWLKAWLVpwbVVWuzx27BgBoCtXrvDyfvPNN/TJJ580GvvH6mP9jGT+WdjIFcN8wIgINa+qm2UhIoViLCkpgaenJ3x8fJCTk4OkpCSMHj2alz8xMREFBQVITExEeHg4wsLCEBYWxm2fNWsW0tLSEBkZiaysLIwdOxaurq64efMml6aiogKbNm3Cvn37cPbsWRQXFyMgIIAXh2TJz8+Hubk5Pv30U16sS5cuRXBwMDIyMqCiogIfHx+FX4v+/fvj+fPnuHz5MgAgOTkZurq6SEpK4tIkJydztwVVVVXB0dERsbGxuHbtGr788ktMnDiRu9otER4eDpFIhPT0dGzcuBGrVq1CQkICAKC6uhojR46EUChEeno6du7ciaVLl0rFVlNTg+PHj8Pd3V3h+tT1+vVrrF69GleuXMHRo0dRVFSEKVOmSKVbuXIlfvzxR5w/fx537tzBuHHjsGXLFhw4cACxsbE4deoUfvjhBy79ixcvsGDBAmRkZODMmTNQUlLCqFGjUFNTIzOOx48fIyIiAv369UOLFi3eqi7yWFlZoU2bNtizZw9evXqFyspK7NmzBzY2NtwtZPUREeLi4lBcXIzevXvLLTszMxPXr1+Hv78/lJSkP1br36K5dOlSBAQEIDMzE5aWlvD09MSbN2/kll9QUICjR4/i+PHjOH78OJKTk3m3l61fvx579+7F9u3bcf36dcyfPx8TJkxAcnIyAGDZsmXIzs7GyZMnkZOTg59++gm6uroAal97sVgMLS0tpKSkIDU1FZqamnB1deWNitT1+PFjxMXFwc/PDyKRqNH6fvPNNxg3bhyysrIwdOhQeHl54fHjxwBq226HDh0QFRWF7OxsLF++HEuWLMGhQ4cA1I7ujBs3Dq6urtz53a9fP5lxpaSkwNHRUeY2Nzc3PHnyBOfOnQMAnDt3Dk+ePMGIESPkHfa/1M8//wxNTU34+vpKbfP398fr169x+PBhmXmfPXuGyMhIAICqqipvW69evfD777/j5cuX7z9ohmEU07x9O4Zh6qp/Va765Ru68/XZZlmqX75RKOaLFy8SACoqKpK5ffLkyWRsbMyN+BARjR07ljw8PIiI6Pbt26SsrEx3797l5Rs4cCAtXryYiGqv5gPgjXps3bqV2rVrJ7W/mpoaGjVqFDk6OlJFRQUR8UeuJGJjYwkAd6wbG7kiIurevTsFBQUREdHIkSNp7dq1pKqqSs+fP6c//viDAFBeXp7c/MOGDSN/f3/uf2dnZ6mrzD179uRGoE6ePEkqKipUUlLCbZc1cpWamkpt27blRk2aOnJVn2SU5/nz50Qk+/itX7+eAFBBQQG3ztfXl8RisdxyHzx4QADo6tWrvPWLFi0ioVBIAKhPnz708OFDuWXU1ZSRKyKiq1evkpmZGSkpKZGSkhJZWVnx2q2kPJFIRCKRiFRUVEhJSYnWrFnTYLkHDx4kAHTp0qUG00lGOnbv3s2tu379OgGgnJwcIpI9ciUUCnkjVQsXLqTevXsTUe2or1Ao5I1+EdWOonp6ehIR0YgRI8jb21tmTPv27SMrKyuqqanh1r18+ZI0NDQoPj5eZp709HQCQEeOHGmwvkTEjRpJlJeXEwA6efKk3Dx+fn40ZswY7n/J6Hdj3N3dycfHh7eu7ujSvHnzuOPg7e1N8+fP50ag649caWhocO1AstTX2MiVqqqqVBlnz54lIiJXV9cG329atmxJM2bMICLpdon/P4Ln5uYmle/KlSsNvh9/7NjIFfMxYCNXDMO8k65du2LgwIHo3Lkzxo4di127duHJkye8NHZ2dlBWVub+NzAwwP379wEAV69eRXV1NSwtLaGpqcktycnJKCgo4PIIhUKYmZnJLKOuJUuWIC0tDTExMdDQ0OBt69KlCy8/AJllpKSk8GKJiIgAADg7OyMpKQlEhJSUFIwePRo2NjY4d+4ckpOTYWhoCAsLCwC1o06rV69G586doaOjA01NTcTHx6O4uFhuTPXrlZubCyMjI+jr63Pbe/XqJRVvTEwMhg8fLnPURBEXL17EiBEj0LFjR+6hegANxtquXTsIhUJ06tSJt67u8bx58yY8PT3RqVMntGzZkhshql/uwoULcfnyZZw6dQrKysqYNGmSwiOnsgwZMoR77ezs7ADUTvgxdepUODk54bfffkNqairs7e0xbNgwVFZW8vKnpKQgMzMTmZmZ2L17N9atW4effvoJABAREcFrGykpKU2OVdF2KGFiYgItLS1eHkn6/Px8VFRUYPDgwby49u7dy50/M2bMQGRkJLp164ZFixbh/PnzXFlXrlxBfn4+tLS0uLw6OjqoqqpCQUGBzHPhXeorEonQsmVLXn23bt0KR0dH6OnpQVNTEzt37pRqI4qorKyEurq63O0+Pj6IiopCaWkpoqKiGhy5PnjwINcGJEtTLVy4UKqMHj16cNubehxTUlJw8eJFhIWFwdLSEtu3b5dKI3nPq6ioaHK8DMO8HyrNHQDDMPIJWijBcJXsW2D+jn0rQllZGQkJCTh//jx3W9jSpUuRnp4OU1NTAJC6xUsgEHC3hpWXl0NZWRkXL17kdcCA2kkmJGSVUf/Lyf79+7F582YkJSXJfFC9bhkCgQAAZN6i1qNHD96XqXbt2gGoncI8JCQEV65cQYsWLWBtbQ0XFxckJSXhyZMnXKcEAIKCgvD9999jy5Yt6Ny5M0QiEebNmyd1q1VDx0ZRx44dk5qFTFEvXryAWCyGWCxGREQE9PT0UFxcDLFY3GCsAoGg0dhHjBgBY2Nj7Nq1C4aGhqipqYG9vb1Uubq6utDV1YWlpSVsbGxgZGSE3377DX379n2rOu3evZvrMEliPHDgAIqKipCWlsZ1Qg8cOIDWrVsjJiYG48eP5/Kbmppyt7bZ2dkhPT0da9euxYwZM+Dm5sa7RbB9+/a4ceMGAODGjRtwcHBoND5F26Gs9JI8dc8fAIiNjZVq82pqagBqO5u3b9/GiRMnkJCQgIEDB8LPzw+bNm1CeXk5HB0duQsIdenp6UFVVVXqXHj9+jUEAgFX76bUt378kZGRCAgIQHBwMPr27QstLS0EBQUhPT1dobLr0tXVlbqwU1fnzp1hbW0NT09P2NjYwN7eXm6nycjI6J0nh9HV1ZVbhqWlJc6dO4dXr15J3dp37949/Pnnn7C0tOStl7RLKysr3L9/Hx4eHjh79iwvjeR2Sz09vXeKnWGYt8c6VwzzARMIBBCoKjeesJkJBAI4OTnByckJy5cvh7GxMaKjo7FgwYJG8zo4OKC6uhr3799H//793zqGtLQ0TJs2DTt27ECfPn3euhyg9uqvrC9FkueuNm/ezHWkXFxcsGHDBjx58oQ3K1xqairc3d0xYcIEALVfnvPy8mBra6twHFZWVrhz5w7Kysq4Dt6FCxd4aW7evInbt29j8ODBTa4nUNshePToETZs2AAjIyMAaNLU4fI8evQIubm52LVrF/e6Sp53aYjkS/e7PDMiq2NdUVEBJSUlrjMDgPu/sc6ssrIy11nT0tLijSIBQLdu3WBra4vg4GB4eHhIjSA+ffr0L5sa39bWFmpqaiguLuZ17uvT09PD5MmTMXnyZPTv3x8LFy7Epk2b0L17dxw8eBBt27ZFy5YtZeaVdS6IxWJs3boVc+bMkXruqin1TU1NRb9+/TBz5kxuXd0Ra6D2uaLq6upGy3JwcGh0pjwfHx/MnDmTG4lsLuPHj8d//vMf7NixgzeDIABs2rQJLVq0wJgxY+Tm9/Pzw/r16xEdHY1Ro0Zx669du4YOHTpwz9QxDPP3Y7cFMgzzTtLT07Fu3TpkZGSguLgYR44cwYMHD2BjY6NQfktLS3h5eWHSpEk4cuQICgsL8fvvv2P9+vWIjY1VqIzS0lKMGjUK48ePh1gsRmlpKUpLS/HgwYN3qZqU1q1bo0uXLoiIiOAmrvj0009x6dIl5OXl8b7cWlhYcCN6OTk58PX1RVlZWZP2N3jwYJiZmWHy5MnIyspCamoqAgMDAfx3xCMmJgaDBg2CUCjk5a2urpa6JSknJ0dqHx07doSqqip++OEH3Lp1C8eOHcPq1aubFKcsrVu3Rps2bbBz507k5+fj119/lepsp6en48cff0RmZiZu376NX3/9FZ6enjAzM+NGre7evQtra2veRCClpaXIzMxEfn4+gNpbSzMzM7mr9rIMHjwYT548gZ+fH3JycnD9+nV4e3tDRUUFAwYM4KW9f/8+SktLcfv2bURFRWHfvn0NThYiEAgQGhqKvLw89O/fHydOnMCtW7eQlZXF/e7SX0VLSwsBAQGYP38+wsPDUVBQgEuXLuGHH35AeHg4AGD58uWIiYlBfn4+rl+/juPHj3Pnp5eXF3R1deHu7o6UlBQUFhYiKSkJc+bMwR9//CF3v1u3bkV1dTV69eqFw4cP4+bNm8jJycF//vOfJo04WlhYICMjA/Hx8cjLy8OyZcukLiCYmJggKysLubm5ePjwodTU+RJisRjXr19vcPRq+vTpePDgAaZNm9ZgXI8ePeLeRyRLVVWVwvUCgOfPn0uV8eeffwIA+vbti7lz52LhwoUIDg5GQUEBbty4gcDAQHz//fcIDg7mLnbIIhQKMX36dKxYsYI3gp+SkoLPPvusSXEyDPN+sc4VwzDvpGXLljh79iyGDh0KS0tLBAYGIjg4GEOGDFG4jNDQUEyaNAn+/v6wsrLCyJEjceHCBXTs2FGh/Ddu3EBZWRnCw8NhYGDALT179nzbasnl7OyM6upqrnOlo6MDW1tb6Ovrw8rKiksXGBiI7t27QywWw8XFBfr6+gr/EKqEsrIyjh49ivLycvTs2RPTpk3jZguUPFsSExMDNzc3qbzl5eVwcHDgLbJmRtPT00NYWBiioqJga2uLDRs2YNOmTU2KUxYlJSVERkbi4sWLsLe3x/z58xEUFMRLIxQKceTIEQwcOBBWVlaYOnUqunTpguTkZO6WttevXyM3N5f3DMn27dvh4OCA6dOnA6jt4Do4OODYsWNy47G2tsYvv/yCrKws9O3bF/3798e9e/cQFxfHPfckYWVlBQMDA5ibm+Prr7+Gr68vbxZEWXr16oWMjAyYm5tj+vTpsLGxgZubG65fv44tW7Y05dA12erVq7Fs2TKsX78eNjY2cHV1RWxsLHdbrqqqKhYvXowuXbrg008/hbKyMjfbnFAoxNmzZ9GxY0fuGcKpU6eiqqpK7kgWAHTq1AmXLl3CgAED4O/vD3t7ewwePBhnzpxp0qiQr68vRo8eDQ8PD/Tu3RuPHj3ijWIBtR0iKysr9OjRA3p6ekhNTZVZVufOndG9e3dupkFZVFRUoKurCxWVhm/cGTRoEO+9xMDAAEePHlW4XkBtp7Z+GYsWLeK2b9myBdu2bcPPP/8Me3t79OjRA2fPnsXRo0elRrNkmTVrFnJychAVFQWgdobSo0ePcucFwzDNQ0Dv8tQwwzDvVVVVFQoLC2Fqatrgg9nMP1dqaio++eQT5OfnQ1tbGwYGBvjjjz+42wYZ5p8sNjYWCxcuxLVr1956gpeP1U8//YTo6GicOnWquUP5y7DPSOZjwJ65YhiG+YBFR0dDU1MTFhYWyM/Px9y5c+Hk5AQzMzPk5eXhu+++Yx0rhvn/hg0bhps3b+Lu3bsN3lb3v6hFixaNjrAyDPPXYyNXDPMBYVflmPr27t2LNWvWoLi4GLq6uhg0aBCCg4PRpk2b5g6NYRjmb8U+I5mPAetcMcwHhH1wMAzDMIxs7DOS+Rj8s25IZhiGYRiGYRiG+YuwzhXDMAzDMAzDMMx7wDpXDMMwDMMwDMMw7wHrXDEMwzAMwzAMw7wHrHPFMAzDMAzDMAzzHrDOFcMwDMMwDMMwzHvAOlcMw/ylpkyZgpEjRzZrDElJSRAIBHj69KncNCtXrkS3bt3+tpiak4uLC+bNm9fcYfzjFBUVQSAQIDMzU26asLAwtGrV6m+L6a8mEAhw9OjRv21/jx49Qtu2bVFUVPS37ZMBHj58iLZt2+KPP/5o7lAYptmxzhXDMAyAgIAAnDlzprnDeGuVlZUQiUTIz8//qL6gu7m5oWPHjlBXV4eBgQEmTpyIe/fuNZhn586dcHFxQcuWLRvtNNd14cIFDBw4EK1atULr1q0hFotx5coVbrukEy5ZNDQ0YGdnh507dypUfn5+Pry9vdGhQweoqanB1NQUnp6eyMjIUCg/AHh4eCAvL0/h9M2ptLQUs2fPRqdOnaCmpgYjIyOMGDHivZ9HTblAs3btWri7u8PExATAfzu0kkVHRwfOzs5ISUmRmd/X1xfKysqIioqS2rZy5UquHBUVFZiYmGD+/PkoLy+XG48kj6urq9S2oKAgCAQCuLi4yNxH3cXa2lqqLrKWsLAwqXZcdyktLeX29fjxY8ybNw/GxsZQVVWFoaEhfHx8UFxczItzypQpXP4WLVrA1NQUixYtQlVVFZdGV1cXkyZNwooVK+QeC4b5p2CdK4ZhGACamppo06ZNc4fx1hISEmBsbAxzc/PmDqVJBgwYgEOHDiE3NxeHDx9GQUEBPv/88wbzVFRUwNXVFUuWLFF4P+Xl5XB1dUXHjh2Rnp6Oc+fOQUtLC2KxGK9fv+alzc3NRUlJCbKzs+Hr64sZM2Y02mHIyMiAo6Mj8vLysGPHDmRnZyM6OhrW1tbw9/dXOE4NDQ20bdtW4fTNpaioCI6Ojvj1118RFBSEq1evIi4uDgMGDICfn1+zxFRRUYE9e/Zg6tSpUttOnz6NkpISnD17FoaGhhg+fDjKysqk8kdGRmLRokUICQmRuQ87OzuUlJSgqKgI3377LXbu3Nno62tgYIDExESpUZ2QkBB07NhR7j7qLufOnYORkRFvnb+/v1RaDw8PrhxJO667SNrW48eP0adPH5w+fRrbt29Hfn4+IiMjkZ+fj549e+LWrVu8mFxdXVFSUoJbt25h8+bN2LFjh1RHytvbGxEREXj8+HGDx4Nh/ucRwzAfjMrKSsrOzqbKysrmDqVJoqKiyN7entTV1UlHR4cGDhxI5eXlREQ0efJkcnd3p6CgINLX1ycdHR2aOXMmvXr1istfVVVF/v7+ZGhoSEKhkHr16kWJiYnc9tDQUNLW1qa4uDiytrYmkUhEYrGY7t27x6UBILUYGxsTEVFiYiIBoNOnT5OjoyNpaGhQ37596caNG1z+FStWUNeuXeXW8ZdffiFtbW168+YNERFdvnyZANDXX3/NpZk6dSp5eXkREdHDhw9p/PjxZGhoSBoaGmRvb08HDhzglens7EyzZ8+mhQsXUuvWraldu3a0YsUKXpqcnBxycnIiNTU1srGxoYSEBAJA0dHRvHQ+Pj5cLJLjJY+zszPNnTuX+3/v3r3k6OhImpqa1K5dO/L09KSysjJuu+T4xcXFUbdu3UhdXZ0GDBhAZWVldOLECbK2tiYtLS3y9PSkFy9ecPlOnjxJTk5OpK2tTTo6OjRs2DDKz8+XGxcRUUxMDAkEAl77kEcS15MnTxpNe+HCBQJAxcXF3LqsrCwCQDdv3mywPDMzM9q4caPcsmtqasjOzo4cHR2purpaarukvMLCQgJAhw8fJhcXF9LQ0KAuXbrQ+fPnubT1XztJu9y7dy8ZGxtTy5YtycPDg/78808uTXV1Na1bt45MTExIXV2dunTpQlFRUdz2x48f0xdffEG6urqkrq5O5ubmFBISwm0vLi6msWPHkra2NrVu3Zrc3NyosLCwweM5ZMgQat++PXeey6ovUe15uWvXLho5ciRpaGiQubk5xcTEcNvfvHlDPj4+XOyWlpa0ZcsWXv3rn9d13xvqioqKIj09Pd46yTG/fPkyt07yuteNg4goLCyM+vTpQ0+fPiWhUMhrK5JY6r9HTJ8+nfT19WXGUzfP8OHDac2aNdz61NRU0tXVpRkzZpCzs3OD+2is7PoUOS+++uorEolEVFJSwltfUVFB7du3J1dXV26d5D28rtGjR5ODg4NUuaamprR7926F4n8bH+tnJPPPwkauGOYj8OrVK7lL/avu7yNtU5SUlMDT0xM+Pj7IyclBUlISRo8eDSLi0iQmJqKgoACJiYkIDw9HWFgYwsLCuO2zZs1CWloaIiMjkZWVhbFjx8LV1RU3b97k0lRUVGDTpk3Yt28fzp49i+LiYgQEBPDikCz5+fkwNzfHp59+yot16dKlCA4ORkZGBlRUVODj46NwPfv374/nz5/j8uXLAIDk5GTo6uoiKSmJS5OcnMzd4lNVVQVHR0fExsbi2rVr+PLLLzFx4kT8/vvvvHLDw8MhEomQnp6OjRs3YtWqVUhISAAAVFdXY+TIkRAKhUhPT8fOnTuxdOlSqdhqampw/PhxuLu7K1yful6/fo3Vq1fjypUrOHr0KIqKijBlyhSpdCtXrsSPP/6I8+fP486dOxg3bhy2bNmCAwcOIDY2FqdOncIPP/zApX/x4gUWLFiAjIwMnDlzBkpKShg1ahRqampkxvH48WNERESgX79+aNGixVvVRR4rKyu0adMGe/bswatXr1BZWYk9e/bAxsaGu4WsPiJCXFwciouL0bt3b7llZ2Zm4vr16/D394eSkvTHav1bNJcuXYqAgABkZmbC0tISnp6eePPmjdzyCwoKcPToURw/fhzHjx9HcnIyNmzYwG1fv3499u7di+3bt+P69euYP38+JkyYgOTkZADAsmXLkJ2djZMnTyInJwc//fQTdHV1AdS+9mKxGFpaWkhJSUFqaio0NTXh6uoq973g8ePHiIuLg5+fH0QiUaP1/eabbzBu3DhkZWVh6NCh8PLy4kY3ampq0KFDB0RFRSE7OxvLly/HkiVLcOjQIQC1t+uOGzeOGzkpKSlBv379ZMaVkpICR0dHuccRqL19du/evQAAVVVV3rY9e/ZgwoQJ0NbWxpAhQ3jvUfJoaGgo9J7p4+PDKy8kJAReXl5SMfwdampqEBkZCS8vL+jr6/O2aWhoYObMmYiPj5c7AnXt2jWcP39eZuy9evWSe8slw/xjNHfvjmGY/5J3VW7FihVyl/379/PSrlmzRm7auleriYi+/fZbmema4uLFiwSAioqKZG6fPHkyGRsbcyM+RERjx44lDw8PIiK6ffs2KSsr0927d3n5Bg4cSIsXLyai2qv5AHijHlu3bqV27dpJ7a+mpoZGjRpFjo6OVFFRQUT8kSuJ2NhYAsAda0WuGHfv3p2CgoKIiGjkyJG0du1aUlVVpefPn9Mff/xBACgvL09u/mHDhpG/vz/3v7OzM33yySe8ND179uRGoE6ePEkqKiq8q8uyRq5SU1Opbdu23KhJU0eu6pOM8jx//pyIZB+/9evXEwAqKCjg1vn6+pJYLJZb7oMHDwgAXb16lbd+0aJFJBQKCQD16dOHHj58KLeMupoyckVEdPXqVTIzMyMlJSVSUlIiKysrXruVlCcSiUgkEpGKigopKSnxRhxkOXjwIAGgS5cuNZhOMopS98r+9evXCQDl5OQQkeyRK6FQyBupWrhwIfXu3ZuIakd9hUIhb/SLqHYU1dPTk4iIRowYQd7e3jJj2rdvH1lZWVFNTQ237uXLl6ShoUHx8fEy86SnpxMAOnLkSIP1JaoduQoMDOT+Ly8vJwB08uRJuXn8/PxozJgx3P+yRk5kcXd3Jx8fH946yTHX0NAgkUhEAoGAAJCjoyNvdDQvL49atGhBDx48ICKi6OhoMjU15R2X+u8RGRkZpKurS59//rncmCR5Xr16RW3btqXk5GQqLy8nLS0tunLlCs2dO1dq5EpJSYlrg5LF19dXbtn11W/HksXW1paIiEpLSwkAbd68WWbMR44cIQCUnp5ORLXHX1lZmUQiEampqREAUlJSov/7v/+Tyjt//nxycXGRezzeFRu5Yj4GbOSKYZh30rVrVwwcOBCdO3fG2LFjsWvXLjx58oSXxs7ODsrKytz/BgYGuH//PgDg6tWrqK6uhqWlJTQ1NbklOTkZBQUFXB6hUAgzMzOZZdS1ZMkSpKWlISYmBhoaGrxtXbp04eUHILOMlJQUXiwREREAAGdnZyQlJYGIkJKSgtGjR8PGxgbnzp1DcnIyDA0NYWFhAaB21Gn16tXo3LkzdHR0oKmpifj4eKmHxevGVL9eubm5MDIy4l1d7tWrl1S8MTExGD58uMxRE0VcvHgRI0aMQMeOHaGlpQVnZ2cAaDDWdu3aQSgUolOnTrx1dY/nzZs34enpiU6dOqFly5bcCFH9chcuXIjLly/j1KlTUFZWxqRJk3gjn001ZMgQ7rWzs7MDUDtiMXXqVDg5OeG3335Damoq7O3tMWzYMFRWVvLyp6SkIDMzE5mZmdi9ezfWrVuHn376CQAQERHBaxspKSlNjlXRdihhYmICLS0tXh5J+vz8fFRUVGDw4MG8uPbu3cudPzNmzEBkZCS6deuGRYsW4fz581xZV65cQX5+PrS0tLi8Ojo6qKqqQkFBgcxz4V3qKxKJ0LJlS159t27dCkdHR+jp6UFTUxM7d+6UaiOKqKyshLq6usxtBw8exOXLl3H48GGYm5sjLCyMNzoaEhICsVjMjegNHToUz549w6+//sor5+rVq9DU1ISGhgZ69eqFvn374scff0RxcTHvOK1bt46Xr0WLFpgwYQJCQ0MRFRUFS0tLqXNfwsrKimt/kmXVqlVNPh5123FmZiZOnDjB296U13HAgAHIzMxEeno6Jk+eDG9vb4wZM0YqnYaGBioqKpocK8P8L1Fp7gAYhmlcQw/uCwQC3v8LFy5UOO37mI5bWVkZCQkJOH/+PHdb2NKlS5Geng5TU1MAkLrFSyAQcLeGlZeXQ1lZGRcvXuR1wIDaSSYkZJVR/8vB/v37sXnzZiQlJaF9+/ZSsdYtQ3IsZN2i1qNHD9502e3atQNQO4V5SEgIrly5ghYtWsDa2houLi5ISkrCkydPuE4JUDsT2Pfff48tW7agc+fOEIlEmDdvntQtRA0dG0UdO3aMd5tYU7x48QJisRhisRgRERHQ09NDcXExxGJxg7FKZg5rKPYRI0bA2NgYu3btgqGhIWpqamBvby9Vrq6uLnR1dWFpaQkbGxsYGRnht99+Q9++fd+qTrt37+Y6TJIYDxw4gKKiIqSlpXGd0AMHDqB169aIiYnB+PHjufympqbcrW12dnZIT0/H2rVrMWPGDLi5ufFuEWzfvj1u3LgBALhx4wYcHBwajU/RdigrvSRP3fMHAGJjY6XavJqaGoDazubt27dx4sQJJCQkYODAgfDz88OmTZtQXl4OR0dH7gJCXXp6elBVVZU6F16/fg2BQMDVuyn1rR9/ZGQkAgICEBwcjL59+0JLSwtBQUFIT09XqOy6dHV1pS7sSBgZGcHCwgIWFhZ48+YNRo0ahWvXrkFNTQ3V1dUIDw9HaWkpVFT++7WouroaISEhGDhwILfOysoKx44dg4qKCgwNDblb4968ecM7Tjo6OlIx+Pj4oHfv3rh27VqDtySrqqq+l4lp6rbjuvT09NCqVSvk5OTIzJeTkwOBQMCLQSQScf+HhISga9euMicPefz4MfT09N45dob5mLHOFcN8BJpyX/5flbYhAoEATk5OcHJywvLly2FsbIzo6GgsWLCg0bwODg6orq7G/fv30b9//7eOIS0tDdOmTcOOHTvQp0+fty4HqL36KuvLjeS5q82bN3MdKRcXF2zYsAFPnjzhzRqWmpoKd3d3TJgwAUDtl+e8vDzY2toqHIeVlRXu3LmDsrIyroN34cIFXpqbN2/i9u3bGDx4cJPrCdR2CB49eoQNGzbAyMgIAJo0dbg8jx49Qm5uLnbt2sW9rufOnWs0n+RL98uXL99637I61hUVFVBSUuJdYJD831hnVllZmeusaWlp8UaRAKBbt26wtbVFcHAwPDw8pEYQnz59+pdNjW9raws1NTUUFxfzOvf16enpYfLkyZg8eTL69++PhQsXYtOmTejevTsOHjyItm3bomXLljLzyjoXxGIxtm7dijlz5kg9d9WU+qampqJfv36YOXMmt67uiDVQ+z5VXV3daFkODg7Yv39/o+k+//xzLF++HNu2bcP8+fNx4sQJ7nnKuhd4rl27Bm9vb1595HV8VFRUGu0Q2dnZwc7ODllZWfjiiy8ajfOvoqSkhHHjxiEiIgKrVq3ijYxXVlZi27ZtEIvFMjuIkvxLlizBggUL8MUXX/DuELh27RpvanmG+SditwUyDPNO0tPTsW7dOmRkZKC4uBhHjhzBgwcPYGNjo1B+S0tLeHl5YdKkSThy5AgKCwvx+++/Y/369YiNjVWojNLSUowaNQrjx4+HWCxGaWkpSktL8eDBg3epmpTWrVujS5cuiIiI4L5AfPrpp7h06RLy8vJ4X24tLCy4Eb2cnBz4+vpKTf3cmMGDB8PMzAyTJ09GVlYWUlNTERgYCOC/Ix4xMTEYNGgQhEIhL291dbXUrUWyrlR37NgRqqqq+OGHH3Dr1i0cO3YMq1evblKcsrRu3Rpt2rTBzp07kZ+fj19//VWqs52eno4ff/wRmZmZuH37Nn799Vd4enrCzMyMG7W6e/curK2teROBlJaWIjMzE/n5+QBqb9XKzMxscArowYMH48mTJ/Dz80NOTg6uX78Ob29vqKioYMCAAby09+/fR2lpKW7fvo2oqCjs27evwclCBAIBQkNDkZeXh/79++PEiRO4desWsrKyuN9d+qtoaWkhICAA8+fPR3h4OAoKCnDp0iX88MMPCA8PBwAsX74cMTExyM/Px/Xr13H8+HHu/PTy8oKuri7c3d2RkpKCwsJCJCUlYc6cOQ3+IOzWrVtRXV2NXr164fDhw7h58yZycnLwn//8p0kjjhYWFsjIyEB8fDzy8vKwbNkyqQsIJiYmyMrKQm5uLh4+fCg1MY+EWCzG9evX5Y5eSQgEAsyZMwcbNmzgpm8fNmwYunbtCnt7e24ZN24cWrVqJXNU7239+uuvKCkpabDz+ebNG+49TLI09b0D+G87rrtIjt26deugr6+PwYMH4+TJk7hz5w7Onj3L/TTB1q1bGyx77NixUFZW5qWrqKjAxYsX8dlnnzU5Vob5X8I6VwzDvJOWLVvi7NmzGDp0KCwtLREYGIjg4GAMGTJE4TJCQ0MxadIk+Pv7w8rKCiNHjsSFCxdk/gaMLDdu3EBZWRnCw8NhYGDALT179nzbasnl7OyM6upqrnOlo6MDW1tb6Ovrw8rKiksXGBiI7t27QywWw8XFBfr6+gr/EKqEsrIyjh49ivLycvTs2RPTpk3jZguUPFsSExMDNzc3qbzl5eVwcHDgLSNGjJBKp6enh7CwMERFRcHW1hYbNmzApk2bmhSnLEpKSoiMjMTFixdhb2+P+fPnIygoiJdGKBTiyJEjGDhwIKysrDB16lR06dIFycnJ3C1tr1+/Rm5uLu85ju3bt8PBwQHTp08HUNvBdXBwwLFjx+TGY21tjV9++QVZWVno27cv+vfvj3v37iEuLo577knCysoKBgYGMDc3x9dffw1fX1/eLIiy9OrVCxkZGTA3N8f06dNhY2MDNzc3XL9+HVu2bGnKoWuy1atXY9myZVi/fj1sbGzg6uqK2NhY7rZcVVVVLF68GF26dMGnn34KZWVlREZGAqh9Dc6ePYuOHTtyzxBOnToVVVVVckeyAKBTp064dOkSBgwYAH9/f9jb22Pw4ME4c+YM93yaInx9fTF69Gh4eHigd+/eePToEW8UCwCmT58OKysr9OjRA3p6ekhNTZVZVufOndG9e3dupsGGTJ48Ga9fv8YPP/yA2NhYmc8PSWa33LNnj8L1aYxIJGp0VO/69eu89zEDAwMYGxs3eV+Sdlx3uXjxIgCgTZs2+O233zBgwAD4+vrCzMwM48aNg5mZGS5cuMB7llIWFRUVzJo1Cxs3bsSLFy8A1L4XdezY8Z3uQGCY/wUCepenhhmGea+qqqpQWFgIU1NTuQ9mM/9sqamp+OSTT5Cfnw9tbW0YGBjgjz/+4G4bZJh/stjYWCxcuBDXrl176wlemLfTp08fzJkz5y+95ZF9RjIfA/bMFcMwzAcsOjoampqasLCwQH5+PubOnQsnJyeYmZkhLy8P3333HetYMcz/N2zYMNy8eRN3797lniFk/noPHz7E6NGj4enp2dyhMEyzYyNXDPMBYVflmPr27t2LNWvWoLi4GLq6uhg0aBCCg4PRpk2b5g6NYRjmb8U+I5mPAetcMcwHhH1wMAzDMIxs7DOS+RiwG5IZhmEYhmEYhmHeA9a5YhiGYRiGYRiGeQ9Y54phGIZhGIZhGOY9YJ0rhmEYhmEYhmGY94B1rhiGYRiGYRiGYd4D1rliGIZhGIZhGIZ5D1jnimGYv9SUKVMwcuTIZo0hKSkJAoEAT58+lZtm5cqV6Nat298W04ekOev+IbSPj8k/rS0XFRVBIBAgMzPzb9tnbm4u9PX18fz5879tnx+KPn364PDhw80dBsN81FjnimEYBkBAQADOnDnT3GG8tcrKSohEIuTn5yMsLAwCgQA2NjZS6aKioiAQCGBiYsKta0rdm+OLu0AgkLkEBQXJTKOiooKOHTtiwYIFePny5Tvvf+vWrTAxMYG6ujp69+6N33//vcH0R44cQY8ePdCqVSuIRCJ069YN+/btU2hfly9fxtixY9GuXTuoq6vDwsIC06dPR15ensLxfkxtOT8/H97e3ujQoQPU1NRgamoKT09PZGRkvNf9uLi4YN68eQqlXbx4MWbPng0tLS0A/+3Qtm7dGlVVVby0Fy5c4NqdhCS9rKW0tBQmJiZytwsEAkyZMgWA/HYfGRnJ7au6uhqbN29G586doa6ujtatW2PIkCFITU3lxSl5TxAIBFBSUoKBgQE8PDxQXFzMSxcYGIh///vfqKmpUfTQMgxTD+tcMQzDANDU1ESbNm2aO4y3lpCQAGNjY5ibmwMARCIR7t+/j7S0NF66PXv2oGPHjrx1f0XdX79+/d7KKikp4S0hISEQCAQYM2YML11oaChKSkpQWFiIbdu2Yd++fVizZs077fvgwYNYsGABVqxYgUuXLqFr164Qi8W4f/++3Dw6OjpYunQp0tLSkJWVBW9vb3h7eyM+Pr7BfR0/fhx9+vTBy5cvERERgZycHOzfvx/a2tpYtmyZwjF/LG05IyMDjo6OyMvLw44dO5CdnY3o6GhYW1vD39+/WWIqLi7G8ePHuQ5OXVpaWoiOjuatk3U+SeTm5kq13bZt2+LChQvc/5JRorppv//+e64MSZuuu0hGeokI48ePx6pVqzB37lzk5OQgKSkJRkZGcHFxwdGjR3nxtGzZEiUlJbh79y4OHz6M3NxcjB07lpdmyJAheP78OU6ePNnEI8cwDIcYhvlgVFZWUnZ2NlVWVjZ3KE0SFRVF9vb2pK6uTjo6OjRw4EAqLy8nIqLJkyeTu7s7BQUFkb6+Puno6NDMmTPp1atXXP6qqiry9/cnQ0NDEgqF1KtXL0pMTOS2h4aGkra2NsXFxZG1tTWJRCISi8V07949Lg0AqcXY2JiIiBITEwkAnT59mhwdHUlDQ4P69u1LN27c4PKvWLGCunbtKreOv/zyC2lra9ObN2+IiOjy5csEgL7++msuzdSpU8nLy4uIiB4+fEjjx48nQ0ND0tDQIHt7ezpw4ACvTGdnZ5o9ezYtXLiQWrduTe3ataMVK1bw0uTk5JCTkxOpqamRjY0NJSQkEACKjo7mpfPx8eFikRyvWbNm0bRp07g0d+7cITU1Nfr3v//NHRtZdU9MTKSePXuSUCgkbW1t6tevHxUVFVFoaKjUMQ4NDeWO/7Zt22jEiBEkFAppxYoV9ObNG/Lx8SETExNSV1cnS0tL2rJlCy9uSftoCnd3d/rXv/7FWyfrmEydOpWGDh0qtxxPT08aN24cb92rV6+oTZs2FB4eTkREvXr1Ij8/P257dXU1GRoa0vr165sUs4ODAwUGBsrd/uLFC9LV1aWRI0fK3P7kyRMieru2/D7OwaKiIho+fDi1atWKhEIh2draUmxsLLf96tWr5OrqSiKRiNq2bUsTJkygBw8eyK1vTU0N2dnZkaOjI1VXV8utb2FhIQGgw4cPk4uLC2loaFCXLl3o/PnzXNrGzrXJkydLtdvCwkKZcQUFBVGPHj146yTHPDAwkAYNGsStr6ioIG1tbVq2bBnV/TolSS+pQ0MaSiurTdcVGRlJAOjYsWNS20aPHk1t2rTh3ocl7wl1/ec//yEA9OzZM956b29vmjBhQqOxN4eP9TOS+WdhI1cM8wEjIlRXVzTLQkQKxVhSUgJPT0/4+PhwV05Hjx7Ny5+YmIiCggIkJiYiPDwcYWFhCAsL47bPmjULaWlpiIyMRFZWFsaOHQtXV1fcvHmTS1NRUYFNmzZh3759OHv2LIqLixEQEMCLQ7Lk5+fD3Nwcn376KS/WpUuXIjg4GBkZGVBRUYGPj4/Cr0X//v3x/PlzXL58GQCQnJwMXV1dJCUlcWmSk5Ph4uICAKiqqoKjoyNiY2Nx7do1fPnll5g4caLULWXh4eEQiURIT0/Hxo0bsWrVKiQkJACoveVn5MiREAqFSE9Px86dO7F06VKp2GpqanD8+HG4u7vz1vv4+ODQoUOoqKgAUHtrkKurK9q1aye3nm/evMHIkSPh7OyMrKwspKWl4csvv4RAIICHhwf8/f1hZ2fHHWsPDw8u78qVKzFq1ChcvXoVPj4+qKmpQYcOHRAVFYXs7GwsX74cS5YswaFDhxQ+7vWVlZUhNjYWU6dObTBdXl4efv31V/Tu3VtuGi8vL/zyyy8oLy/n1sXHx6OiogKjRo3Cq1evcPHiRQwaNIjbrqSkhEGDBkmNCMpDRDhz5gxyc3Ol2mNd8fHxePjwIRYtWiRze6tWrXj/N7Utv+s56Ofnh5cvX+Ls2bO4evUqvv32W2hqagIAnj59in/9619wcHBARkYG4uLiUFZWhnHjxsmNJzMzE9evX4e/vz+UlKS/isiqb0BAADIzM2FpaQlPT0+8efMGQOPn2vfff4++ffti+vTpXLs1MjKSGVdKSgp69Oghc9vEiRORkpLC3Up3+PBhmJiYoHv37nLr+Vc6cOAALC0tMWLECKlt/v7+ePToEfdeUt/9+/cRHR0NZWVlKCsr87b16tULKSkpf0nMDPNPoNLcATAMI19NTSWSkjs3y75dnK9CWVnYaLqSkhK8efMGo0ePhrGxMQCgc2d+zK1bt8aPP/4IZWVlWFtbY9iwYThz5gymT5+O4uJihIaGori4GIaGhgBqnxmJi4tDaGgo1q1bB6D2NrPt27fDzMwMQO2XwVWrVnH70NfXB1D7ZXbMmDHQ1tbGjh07eHGsXbsWzs7OAIB///vfGDZsGKqqqqCurt5oPbW1tdGtWzckJSWhR48eSEpKwvz58/HNN9+gvLwcz549Q35+Pld++/bteZ2/2bNnIz4+HocOHUKvXr249V26dMGKFSsAABYWFvjxxx9x5swZDB48GAkJCSgoKEBSUhJXv7Vr12Lw4MG82H777TcAkOpIODg4oFOnTvi///s/TJw4EWFhYfjuu+9w69YtufX8888/8ezZMwwfPpw71nWf3dLU1ISKigoXT11ffPEFvL29eeu++eYb7m9TU1OkpaXh0KFDDX7xbkh4eDi0tLQwevRoqW2enp5QVlbGmzdv8PLlSwwfPhyLFy+WW5ZYLIZIJEJ0dDQmTpwIoPYLq5ubG7S0tHDv3j1UV1dLdUbbtWuHGzduNBjns2fP0L59e7x8+RLKysrYtm2b1OtWl6QTY21t3WC5Ek1ty+96DhYXF2PMmDHcud2pUyeu7B9//BEODg7cuQoAISEhMDIyQl5eHiwtLd+5vgEBARg2bBiA2jZlZ2eH/Px8WFtbN3quaWtrQ1VVFUKhUGa7rev27dtyO1dt27bFkCFDEBYWhuXLlyMkJKTBTm2HDh14/xsbG+P69esK1VdC0qbrys7ORseOHZGXlyfzuUrgv+ds3Wf1nj17Bk1NTRARd8Flzpw5EIlEvLyGhoa4c+cOampqZHZ8GYZpGDtrGIZ5J127dsXAgQPRuXNnjB07Frt27cKTJ094aezs7HhfEAwMDLhnVq5evYrq6mpYWlpCU1OTW5KTk1FQUMDlEQqF3Jf9+mXUtWTJEqSlpSEmJgYaGhq8bV26dOHlByCzjJSUFF4sERERAABnZ2ckJSWBiJCSkoLRo0fDxsYG586dQ3JyMgwNDWFhYQGgdtRp9erV6Ny5M3R0dKCpqYn4+HipB8jrxlS/Xrm5uTAyMuJ9IazbMZOIiYnB8OHDZX4R8vHxQWhoKJKTk/HixQsMHTpUKk1dOjo6mDJlCsRiMUaMGIHvv/8eJSUlDeaRkPWldOvWrXB0dISenh40NTWxc+dOqWMgERERwTvusq6eh4SEwMvLS2YnYvPmzcjMzMSVK1dw/Phx5OXlcZ2m4uJiXtnr1q2DiooKxo0bx72+L168QExMDLy8vBSqb0O0tLSQmZmJCxcuYO3atViwYAE3yrlu3TpeLMXFxQqPFEso2pYl3vUcnDNnDtasWQMnJyesWLECWVlZXFlXrlxBYmIiL6+k01RQUCDzdX2f9VX0XFNEZWVlgxdbfHx8EBYWhlu3biEtLa3BtpKSkoLMzExuOXHiRJPjkbTpuoukAwygScdR0iYzMjIQHByM7t27Y+3atVLpNDQ0UFNT814mg2GYfyI2csUwHzAlJQ24OF9ttn0rQllZGQkJCTh//jxOnTqFH374AUuXLkV6ejpMTU0BAC1atODlEQgE3GxU5eXlUFZWxsWLF6Wu0EpuO5JXRv0vFvv378fmzZuRlJSE9u3bS8VatwzJ7F6yZsXq0aMHb+pnyciFi4sLQkJCcOXKFbRo0QLW1tZwcXFBUlISnjx5wo0kAEBQUBC+//57bNmyBZ07d4ZIJMK8efPw6tUruTHVPzaKOnbsGDZs2CBzm5eXFxYtWoSVK1di4sSJUFFp/G0/NDQUc+bMQVxcHA4ePIjAwEAkJCSgT58+DearfwU8MjISAQEBCA4ORt++faGlpYWgoCCkp6fLzO/m5sYbfav/GqakpCA3NxcHDx6UmV9fX5+b0MPKygrPnz+Hp6cn1qxZAxMTE95rqqOjA6D2+Dg7O+P+/ftISEiAhoYGXF1dAQC6urpQVlZGWVkZbz9lZWWNjoAoKSlxsXTr1g05OTlYv349XFxc8NVXX/FG7gwNDbnRnRs3bqBv374Nlg0o3pZlpZfkaco5OG3aNIjFYsTGxuLUqVNYv349goODMXv2bJSXl2PEiBH49ttvpfZrYGCAmpoaqddVMvJ348YNODg4vFN9FT3XFKGrqyt1caiuIUOG4Msvv8TUqVMxYsSIBicOMTU1lbq9sanqtun6LC0tkZOTI3ObZH3dUcO6bdLGxgYFBQWYMWOG1EyWjx8/hkgkkro4xTCMYljnimE+YAKBQKFb85qbQCCAk5MTnJycsHz5chgbGyM6OhoLFixoNK+DgwOqq6tx//599O/f/61jSEtLw7Rp07Bjx45GOwGN0dDQkPmFRvLc1ebNm7mOlIuLCzZs2IAnT57wZjhLTU2Fu7s7JkyYAKD2i2BeXh5sbW0VjsPKygp37txBWVkZ18G7cOECL83Nmzdx+/Ztubec6ejowM3NDYcOHcL27dsV3reDgwMcHBywePFi9O3bFwcOHECfPn2gqqqK6upqhcpITU1Fv379MHPmTG5d3dHI+rS0tLjpr2XZs2cPHB0d0bVrV4X2L+koVFZWQkVFReZr2q9fPxgZGeHgwYM4efIkxo4dy32RV1VVhaOjI86cOcPN0FZTU4MzZ85g1qxZCsUgUXckQEdHh+vcSXz22WfQ1dXFxo0bpWakA2qfa3rXL+ryKHoOGhkZ4auvvsJXX32FxYsXY9euXZg9eza6d+/OPX8kr/Ne/3Xt1q0bbG1tERwcDA8PD6lR16bUV5FzTdF26+DggOzsbLnbVVRUMGnSJGzcuLHZZ9QbP348vvjiC/zyyy9Sz10FBwejTZs2Dd6K+u9//xtmZmaYP38+77mxa9euKdThZRhGNnZbIMMw7yQ9PR3r1q1DRkYGiouLceTIETx48EDuswD1WVpawsvLC5MmTcKRI0dQWFiI33//HevXr0dsbKxCZZSWlmLUqFEYP348xGIxSktLUVpaigcPHrxL1aS0bt0aXbp0QUREBDdxxaeffopLly4hLy+PN3JlYWHBjejl5OTA19dXagSkMYMHD4aZmRkmT56MrKwspKamIjAwEMB/r97HxMRg0KBBEArld8LDwsLw8OFDhZ5vKSwsxOLFi5GWlobbt2/j1KlTuHnzJvd6mpiYoLCwEJmZmXj48GGDtw5ZWFggIyMD8fHxyMvLw7Jly6Q6h4r6888/ERUVhWnTpslN8/TpU5SWluLevXtITk7GqlWrYGlp2Whb/OKLL7B9+3YkJCRI3ea1YMEC7Nq1C+Hh4cjJycGMGTPw4sUL3rNlkyZN4j3btX79eiQkJODWrVvIyclBcHAw9u3bx335l0UkEmH37t2IjY2Fm5sbTp8+jaKiImRkZGDRokX46quvGjtEb02Rc3DevHmIj49HYWEhLl26hMTERO64+vn54fHjx/D09MSFCxdQUFCA+Ph4eHt7y+3QCAQChIaGIi8vD/3798eJEydw69YtZGVlYe3atVKTszREkXPNxMQE6enpKCoqwsOHD+WO8onFYqSlpTXYEVu9ejUePHgAsVjcYFz379/n3oskS1N/okDSpusuL168AFDbuRo1ahQmT56MPXv2oKioCFlZWfD19cWxY8ewe/duqdHkuoyMjDBq1CgsX76ctz4lJQWfffZZk+JkGOa/WOeKYZh30rJlS5w9exZDhw6FpaUlAgMDERwcjCFDhihcRmhoKCZNmgR/f39YWVlh5MiRuHDhgtzfj6nvxo0bKCsrQ3h4OAwMDLilZ8+eb1stuZydnVFdXc11rnR0dGBrawt9fX1YWVlx6QIDA9G9e3eIxWK4uLhAX1+fG/1QlLKyMo4ePYry8nL07NkT06ZN42YLlDwXEhMTAzc3twbL0dDQUPh3j4RCIW7cuIExY8bA0tISX375Jfz8/ODr6wsAGDNmDFxdXTFgwADo6enh559/lluWr68vRo8eDQ8PD/Tu3RuPHj3ijWI1RWRkJIgInp6ectN4e3vDwMAAHTp0gKenJ+zs7HDy5MlGb4X08vJCdnY22rdvDycnJ942Dw8PbNq0CcuXL0e3bt2QmZmJuLg43iQXxcXFvOfSXrx4gZkzZ8LOzg5OTk44fPgw9u/f32DHEADc3d1x/vx5tGjRAl988QWsra3h6emJZ8+evfPvdTWmsXOwuroafn5+sLGxgaurKywtLbFt2zYAtbc1pqamorq6Gp999hk6d+6MefPmoVWrVg1OiNCrVy9kZGTA3Nwc06dPh42NDdzc3HD9+nVs2bJF4dgVOdcCAgKgrKwMW1tb6OnpyX0ea8iQIVBRUcHp06fl7k9VVRW6urq8Hw6WxcrKivd+ZGBggIsXLypcL+C/bbru8sMPPwCo7aAeOnQIS5YswebNm2FlZYX+/fvj9u3bSEpKUuj9Zv78+YiNjeVmVrx79y7Onz8vNTENwzCKE1BTnyplGOYvU1VVhcLCQpiamio0gx3zz5OamopPPvkE+fn50NbWhoGBAf74448Gp1dnGEZxW7duxbFjxxr90ef/RV9//TWePHmCnTt3NncoMrHPSOZjwJ65YhiG+YBFR0dDU1MTFhYWyM/Px9y5c+Hk5AQzMzPk5eXhu+++Yx0rhnmPfH198fTpUzx//rzBZwD/F7Vt21ahZ2UZhpGPjVwxzAeEXZVj6tu7dy/WrFmD4uJi6OrqYtCgQdzD6gzDMP8k7DOS+RiwzhXDfEDYBwfDMAzDyMY+I5mPAZvQgmEYhmEYhmEY5j1gnSuGYRiGYRiGYZj3gHWuGIZhGIZhGIZh3gPWuWIYhmEYhmEYhnkPWOeKYRiGYRiGYRjmPWCdK4ZhGIZhGIZhmPeAda4YhvlLTZkyBSNHjmzWGJKSkiAQCPD06VO5aVauXIlu3br9bTF9SJqz7h9C+/iY/NPaclFREQQCATIzM/+2febm5kJfXx/Pnz//2/bJANnZ2ejQoQNevHjR3KEwzDthnSuGYRgAAQEBOHPmTHOH8dYqKyshEomQn5+PsLAwCAQC2NjYSKWLioqCQCCAiYkJt64pdW+OL+4CgUDmEhQUJDONiooKOnbsiAULFuDly5fvvP+tW7fCxMQE6urq6N27N37//fcG0x85cgQ9evRAq1atIBKJ0K1bN+zbt0+hfV2+fBljx45Fu3btoK6uDgsLC0yfPh15eXkKx/sxteX8/Hx4e3ujQ4cOUFNTg6mpKTw9PZGRkfFe9+Pi4oJ58+YplHbx4sWYPXs2tLS0APy3QytZ9PT0MHToUFy9elVmfrFYDGVlZVy4cEFq25QpU7hyVFVVYW5ujlWrVuHNmzdy45Hk+eqrr6S2+fn5QSAQYMqUKTL3UXdxdXWVqousJSkpiXsPqb/U/22pO3fuwMfHB4aGhlBVVYWxsTHmzp2LR48e8dK5uLjwyrC0tMT69etR96dWbW1t0adPH3z33XdyjwXDfAxY54phGAaApqYm2rRp09xhvLWEhAQYGxvD3NwcACASiXD//n2kpaXx0u3ZswcdO3bkrfsr6v769ev3VlZJSQlvCQkJgUAgwJgxY3jpQkNDUVJSgsLCQmzbtg379u3DmjVr3mnfBw8exIIFC7BixQpcunQJXbt2hVgsxv379+Xm0dHRwdKlS5GWloasrCx4e3vD29sb8fHxDe7r+PHj6NOnD16+fImIiAjk5ORg//790NbWxrJlyxSO+WNpyxkZGXB0dEReXh527NiB7OxsREdHw9raGv7+/s0SU3FxMY4fP87rrEjk5uaipKQE8fHxePnyJYYNG4ZXr15J5T9//jxmzZqFkJAQmftwdXVFSUkJbt68CX9/f6xcuZJ3oUAWIyMjREZGorKykltXVVWFAwcOSJ3PdfdRd/n555/Rr18/3rpx48ZJpe3Xrx8AoGXLllJl3L59m9vHrVu30KNHD9y8eRM///wz8vPzsX37dpw5cwZ9+/bF48ePeTFNnz4dJSUlyM3NxeLFi7F8+XJs376dl8bb2xs//fRTg51NhvngEcMwH4zKykrKzs6mysrK5g6lSaKiosje3p7U1dVJR0eHBg4cSOXl5URENHnyZHJ3d6egoCDS19cnHR0dmjlzJr169YrLX1VVRf7+/mRoaEhCoZB69epFiYmJ3PbQ0FDS1tamuLg4sra2JpFIRGKxmO7du8elASC1GBsbExFRYmIiAaDTp0+To6MjaWhoUN++fenGjRtc/hUrVlDXrl3l1vGXX34hbW1tevPmDRERXb58mQDQ119/zaWZOnUqeXl5ERHRw4cPafz48WRoaEgaGhpkb29PBw4c4JXp7OxMs2fPpoULF1Lr1q2pXbt2tGLFCl6anJwccnJyIjU1NbKxsaGEhAQCQNHR0bx0Pj4+XCyS4zVr1iyaNm0al+bOnTukpqZG//73v7ljI6vuiYmJ1LNnTxIKhaStrU39+vWjoqIiCg0NlTrGoaGh3PHftm0bjRgxgoRCIa1YsYLevHlDPj4+ZGJiQurq6mRpaUlbtmzhxS1pH03h7u5O//rXv3jrZB2TqVOn0tChQ+WW4+npSePGjeOte/XqFbVp04bCw8OJiKhXr17k5+fHba+uriZDQ0Nav359k2J2cHCgwMBAudtfvHhBurq6NHLkSJnbnzx5QkRv15bfxzlYVFREw4cPp1atWpFQKCRbW1uKjY3ltl+9epVcXV1JJBJR27ZtacKECfTgwQO59a2pqSE7OztydHSk6upqufUtLCwkAHT48GFycXEhDQ0N6tKlC50/f55L29i5NnnyZKl2W1hYKDOuoKAg6tGjB2+d5JhLYiIiOnbsGAGgK1eu8NKuXLmSxo8fTzk5OaStrU0VFRW87bLa++DBg6lPnz7yDhWXx97envbv38+tj4iIoC5dupC7uztNnjy5wX00VnZ9kveQhri6ulKHDh2k6lhSUkJCoZC++uorbp2zszPNnTuXl6579+40atQo3rqXL1+SmpoanT59WuY+P9bPSOafhY1cMcxH4EV1tdylqrpG4bSVCqZtipKSEnh6esLHxwc5OTlISkrC6NGjebd7JCYmoqCgAImJiQgPD0dYWBjCwsK47bNmzUJaWhoiIyORlZWFsWPHwtXVFTdv3uTSVFRUYNOmTdi3bx/Onj2L4uJiBAQE8OKQLPn5+TA3N8enn37Ki3Xp0qUIDg5GRkYGVFRU4OPjo3A9+/fvj+fPn+Py5csAgOTkZOjq6iIpKYlLk5ycDBcXFwC1V5UdHR0RGxuLa9eu4csvv8TEiROlbikLDw+HSCRCeno6Nm7ciFWrViEhIQEAUF1djZEjR0IoFCI9PR07d+7E0qVLpWKrqanB8ePH4e7uzlvv4+ODQ4cOoaKiAgAQFhYGV1dXtGvXTm4937x5g5EjR8LZ2RlZWVlIS0vDl19+CYFAAA8PD/j7+8POzo471h4eHlzelStXYtSoUbh69Sp8fHxQU1ODDh06ICoqCtnZ2Vi+fDmWLFmCQ4cOKXzc6ysrK0NsbCymTp3aYLq8vDz8+uuv6N27t9w0Xl5e+OWXX1BeXs6ti4+PR0VFBUaNGoVXr17h4sWLGDRoELddSUkJgwYNkhoRlIeIcObMGeTm5kq1x7ri4+Px8OFDLFq0SOb2Vq1a8f5valt+13PQz88PL1++xNmzZ3H16lV8++230NTUBAA8ffoU//rXv+Dg4ICMjAzExcWhrKwM48aNkxtPZmYmrl+/Dn9/fygpSX8VkVXfgIAAZGZmwtLSEp6entzoRmPn2vfff4++fftyIyclJSUwMjKSGVdKSgp69OjR4LF89uwZIiMjAQCqqqrceiJCaGgoJkyYAGtra5ibm+P//u//GiwLADQ0NKRGwGTx8fFBaGgo939ISAi8vb0bzfdXePz4MeLj4zFz5kxoaGjwtunr68PLywsHDx7kfQ5IEBFSUlJw48YN3vEDao9nt27dkJKS8pfGzzB/qWbt2jEMwyPvqly7Xy/LXb7ILOClNUm6IjftyEt5vLQ2KVky0zXFxYsXCQAVFRXJ3D558mQyNjbmRnyIiMaOHUseHh5ERHT79m1SVlamu3fv8vINHDiQFi9eTETEjZjk5+dz27du3Urt2rWT2l9NTQ2NGjWKHB0duSuqda/2S8TGxhIA7lg3NnJFVHulNSgoiIiIRo4cSWvXriVVVVV6/vw5/fHHHwSA8vLy5OYfNmwY+fv7c/87OzvTJ598wkvTs2dPbgTq5MmTpKKiQiUlJdx2WSNXqamp1LZtW24EoO5V527dulF4eDjV1NSQmZkZxcTE0ObNm+WOXD169IgAUFJSksw6yDtOAGjevHly6y7h5+dHY8aM4f5v6sjVt99+S61bt5Y6RwCQuro6iUQiUlNTIwA0fPhw3uhMfa9fvyZdXV3au3cvt87T05Nrm3fv3iUAvFESIqKFCxdSr169Gozz6dOnJBKJSEVFhdTU1GjPnj2N1gsAPX78uMF0b9OW38c52LlzZ1q5cqXMmFavXk2fffYZb92dO3cIAOXm5srMc/DgQQJAly5darC+kpGr3bt3c+uuX79OACgnJ0duPlnnWv2RE1m6du1Kq1at4q2THHORSEQikYgb/XJzc+OlO3XqFOnp6dHr16+JiGjz5s3k7OzMS1O3vdfU1FBCQgKpqalRQECA3Jgkee7fv09qampUVFRERUVFpK6uTg8ePJA5cqWsrMzFK1nWrl0rt+z6JO+59ctwdXUlIqLffvtN5mixxHfffUcAqKysjIhqj3+LFi1IJBJRixYtuPM1NTVVKu+oUaNoypQpMstlI1fMx4CNXDEM8066du2KgQMHonPnzhg7dix27dqFJ0+e8NLY2dlBWVmZ+9/AwIB7ZuXq1auorq6GpaUlNDU1uSU5ORkFBQVcHqFQCDMzM5ll1LVkyRKkpaUhJiZG6opqly5dePkByCwjJSWFF0tERAQAwNnZGUlJSdyV19GjR8PGxgbnzp1DcnIyDA0NYWFhAaB21Gn16tXo3LkzdHR0oKmpifj4eBQXF8uNqX69cnNzYWRkBH19fW57r169pOKNiYnB8OHDZY4ASK52Jycn48WLFxg6dKhUmrp0dHQwZcoUiMVijBgxAt9//z1KSkoazCMh64r/1q1b4ejoCD09PWhqamLnzp1Sx0AiIiKCd9xlXb0OCQmBl5eX1IP1ALB582ZkZmbiypUrOH78OPLy8jBx4kQAtc/C1C173bp1UFFRwbhx47jX98WLF4iJiYGXl5dC9W2IlpYWMjMzceHCBaxduxYLFizgRjnXrVvHi6W4uFjmFf6GKNqWJd71HJwzZw7WrFkDJycnrFixAllZWVxZV65cQWJiIi+vtbU1AKCgoEDm6/o+66vouaaIyspKmW0LqH1fuHjxIsLCwmBpaSn1vFBISAg8PDygoqICAPD09ERqairvfQyofbZOU1MT6urqGDJkCDw8PLBy5Uq57zsSenp6GDZsGMLCwhAaGophw4ZBV1dXZqwDBgxAZmYmb5E1IUZDJG247rJ7925emqa8jl5eXsjMzERqaiqGDBmCpUuXcs931aWhocGNtjPMx0iluQNgGKZxBZ92lrtNGQLe/9c+sZObVqle2gt9bd8tMADKyspISEjA+fPncerUKfzwww9YunQp0tPTYWpqCgBo0aIFL49AIEBNTe0tiuXl5VBWVsbFixd5X/4AcLcdySuj/gf7/v37sXnzZiQlJaF9+/ZSsdYtQyCoPRaSOOrq0aMHb+pnyW10Li4uCAkJwZUrV9CiRQtYW1vDxcUFSUlJePLkCZydnbk8QUFB+P7777FlyxZ07twZIpEI8+bNk7r9p6Fjo6hjx45hw4YNMrd5eXlh0aJFWLlyJSZOnMh98WtIaGgo5syZg7i4OBw8eBCBgYFISEhAnz59GswnEol4/0dGRiIgIADBwcHo27cvtLS0EBQUhPT0dJn53dzceLfx1X8NU1JSkJubi4MHD8rMr6+vz03oYWVlhefPn8PT0xNr1qyBiYkJ7zXV0dEBUHt8nJ2dcf/+fSQkJEBDQwOurq4AAF1dXSgrK6OsrIy3n7KyMl6HVxYlJSUulm7duiEnJwfr16+Hi4sLvvrqK94tc4aGhrC0tAQA3LhxA3379m2wbEDxtiwrvSRPU87BadOmQSwWIzY2FqdOncL69esRHByM2bNno7y8HCNGjMC3334rtV8DAwPU1NRIva43btzg6uvg4PBO9VX0XFOErq6u1MUhCVNTU7Rq1QpWVla4f/8+PDw8cPbsWQC1t8lFR0fj9evX+Omnn7g81dXVCAkJwdq1a7l1AwYMwE8//QRVVVUYGhpy56S89526fHx8MGvWLAC1Fy7kEYlEXPt7W3XbcH3m5uYQCATIycnBqFGjpLbn5OSgdevW0NPT49Zpa2tz5R06dAjm5ubo06cP77ZboPZY1r2QxjAfG9a5YpiPgKjeF57mSNsQgUAAJycnODk5Yfny5TA2NkZ0dDQWLFjQaF4HBwdUV1fj/v376N+//1vHkJaWhmnTpmHHjh2NdgIao6GhIfNLheS5q82bN3MdKRcXF2zYsAFPnjzhzXCWmpoKd3d3TJgwAUDtF8G8vDzY2ireobWyssKdO3dQVlbGfdGqP73zzZs3cfv2bQwePFhmGTo6OnBzc8OhQ4ekrrQ3xMHBAQ4ODli8eDH69u2LAwcOoE+fPlBVVUW1gs/lpaamol+/fpg5cya3rv5V/Lq0tLS46a9l2bNnDxwdHdG1a1eF9i/pKFRWVkJFRUXma9qvXz8YGRnh4MGDOHnyJMaOHct9kVdVVYWjoyPOnDnD/RZXTU0Nzpw5w33BVVRNTQ03LbyOjg7XuZP47LPPoKuri40bNyI6Oloq/9OnT6WeQ3pfFD0HjYyM8NVXX+Grr77C4sWLsWvXLsyePRvdu3fH4cOHYWJiIrfzXv917datG2xtbREcHAwPDw+pUdem1FeRc03Rduvg4IDs7OxG0/n5+WH9+vWIjo7GqFGjEBERgQ4dOuDo0aO8dKdOnUJwcDBWrVrFtUd5HR957zt1ubq64tWrVxAIBBCLxY3G+Vdp06YNBg8ejG3btmH+/Pm8uwRKS0sRERGBSZMmcR3h+jQ1NTF37lwEBATg8uXLvHTXrl3D559//pfXgWH+Kuy2QIZh3kl6ejrWrVuHjIwMFBcX48iRI3jw4IHM31iSxdLSEl5eXpg0aRKOHDmCwsJC/P7771i/fj1iY2MVKqO0tBSjRo3C+PHjIRaLUVpaitLSUjx48OBdqialdevW6NKlCyIiIriJKz799FNcunQJeXl5vJErCwsLbkQvJycHvr6+UiMgjRk8eDDMzMwwefJkZGVlITU1FYGBgQD+e/U+JiYGgwYNglAolFtOWFgYHj58yN2q1ZDCwkIsXrwYaWlpuH37Nk6dOoWbN29yr6eJiQkKCwuRmZmJhw8fNvg7UhYWFsjIyEB8fDzy8vKwbNkymb/9o4g///wTUVFRmDZtmtw0T58+RWlpKe7du4fk5GSsWrUKlpaWjbbFL774Atu3b0dCQoLULYELFizArl27EB4ejpycHMyYMQMvXrzgTSQwadIkLF68mPt//fr1SEhIwK1bt5CTk4Pg4GDs27eP+/Ivi0gkwu7duxEbGws3NzecPn0aRUVFyMjIwKJFi5p8S1dTKHIOzps3D/Hx8SgsLMSlS5eQmJjIHVc/Pz88fvwYnp6euHDhAgoKChAfHw9vb2+5HRqBQIDQ0FDk5eWhf//+OHHiBG7duoWsrCysXbtWanKWhihyrpmYmCA9PR1FRUV4+PCh3FE+sViMtLS0RjtiQqEQ06dPx4oVK0BE2LNnDz7//HPY29vzlqlTp+Lhw4eIi4tTuD4NUVZWRk5ODrKzs6VGGet6+fIl9z4oWR4+fNikfRGRVBmlpaXcsfvxxx/x8uVLiMVinD17Fnfu3EFcXBwGDx6M9u3b80brZPH19UVeXh4OHz7MrSsqKsLdu3elRrMY5mPCOlcMw7yTli1b4uzZsxg6dCgsLS0RGBiI4OBgDBkyROEyQkNDMWnSJPj7+8PKygojR47EhQsXZP5+iyw3btxAWVkZwsPDYWBgwC09e/Z822rJ5ezsjOrqaq5zpaOjA1tbW+jr68PKyopLFxgYiO7du0MsFsPFxQX6+vrc6IeilJWVcfToUZSXl6Nnz56YNm0aN1ug5LmQmJgYuLm5NViOhoaGwr97JBQKcePGDYwZMwaWlpb48ssv4efnB19fXwDAmDFj4OrqigEDBkBPTw8///yz3LJ8fX0xevRoeHh4oHfv3nj06BFvFKspIiMjQUTw9PSUm8bb2xsGBgbo0KEDPD09YWdnh5MnTzZ6K6SXlxeys7PRvn17ODk58bZ5eHhg06ZNWL58Obp164bMzEzExcXxbtkqLi7mPZf24sULzJw5E3Z2dnBycsLhw4exf//+BjuGAODu7o7z58+jRYsW+OKLL2BtbQ1PT088e/bsnX+vqzGNnYPV1dXw8/ODjY0NXF1dYWlpiW3btgGova0xNTUV1dXV+Oyzz9C5c2fMmzcPrVq1kvkcoESvXr2QkZEBc3NzTJ8+HTY2NnBzc8P169exZcsWhWNX5FwLCAiAsrIybG1toaenJ/d5rCFDhkBFRQWnT59udL+zZs1CTk4ONm7ciCtXrkj97hpQeyvcwIEDsWfPHoXr05iWLVuiZcuWDaaJi4vjvRcaGBjgk08+adJ+/vzzT6ky6j6rJ7l40qlTJ4wbNw5mZmb48ssvMWDAAKSlpUmNztano6ODSZMmYeXKlVyH7eeff8Znn30GY2PjJsXKMB8SATX1qVKGYf4yVVVVKCwshKmpqdyHqpl/ttTUVHzyySfIz8+HtrY2DAwM8McffzQ4vTrDMIrbunUrjh071uiPPjPv16tXr2BhYYEDBw5IXeSQYJ+RzMeAPXPFMAzzAYuOjoampiYsLCyQn5+PuXPnwsnJCWZmZsjLy8N3333HOlYM8x75+vri6dOneP78eYPPADLvV3FxMZYsWSK3Y8UwHws2csUwHxB2VY6pb+/evVizZg2Ki4uhq6uLQYMGITg4WOHb/BiGYf5XsM9I5mPAOlcM8wFhHxwMwzAMIxv7jGQ+BmxCC4ZhGIZhGIZhmPeAda4Y5gPEBpQZhmEYho99NjIfA9a5YpgPiOR3S169etXMkTAMwzDMh0Xy2djQb3wxTHNjswUyzAdERUUFQqEQDx48QIsWLRr8jRiGYRiG+aeoqanBgwcPIBQKG/3tOoZpTmxCC4b5wLx69QqFhYXcjyoyDMMwDAMoKSnB1NQUqqqqzR0Kw8jFOlcM8wGqqalhtwYyDMMwTB2qqqrsjg7mg8c6VwzDMAzDMAzDMO8B6/4zDMMwDMMwDMO8B6xzxTAMwzAMwzAM8x6wzhXDMAzDMAzDMMx7wDpXDMMwDMMwDMMw7wHrXDEMwzAMwzAMw7wHrHPFMAzDMAzDMAzzHrDOFcMwDMMwDMMwzHvw/wCNsB6T+XEzDgAAAABJRU5ErkJggg==","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["# plot meteor vs rpp\n","import matplotlib.pyplot as plt\n","\n","fig, ax = plt.subplots(figsize=(10, 6))\n","# set grid\n","ax.grid(True)\n","ax.set_axisbelow(True)\n","ax.minorticks_on()\n","ax.grid(which=\"major\", linestyle=\"-\", linewidth=\"0.5\", color=\"red\")\n","# ax.grid(which=\"minor\", linestyle=\":\", linewidth=\"0.5\", color=\"black\")\n","\n","for model in models:\n"," model_df = metrics_df[metrics_df[\"model\"] == model]\n"," ax.plot(model_df[\"rpp\"], model_df[\"meteor\"], label=model + \" (METEOR)\")\n"," ax.plot(\n"," model_df[\"rpp\"], model_df[\"rap\"], label=model + \" (RAP-METEOR)\", linestyle=\"--\"\n"," )\n","\n","ax.set_xlabel(\"Repetition Penalty Parameter\")\n","ax.set_ylabel(\"METEOR & RAP-METEOR\")\n","ax.legend(loc=\"lower center\", bbox_to_anchor=(0.5, -0.6))\n","plt.show()"]},{"cell_type":"code","execution_count":24,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["# plot mtr vs rpp\n","import matplotlib.pyplot as plt\n","\n","fig, ax = plt.subplots(figsize=(10, 6))\n","# set grid\n","ax.grid(True)\n","ax.set_axisbelow(True)\n","ax.minorticks_on()\n","ax.grid(which=\"major\", linestyle=\"-\", linewidth=\"0.5\", color=\"red\")\n","# ax.grid(which=\"minor\", linestyle=\":\", linewidth=\"0.5\", color=\"black\")\n","\n","for model in models:\n"," model_df = metrics_df[metrics_df[\"model\"] == model]\n"," ax.plot(model_df[\"rpp\"], model_df[\"total_repetitions\"], label=model)\n","\n","\n","ax.set_xlabel(\"Repetition Penalty Parameter\")\n","ax.set_ylabel(\"Mean Total Repetitions (MTR)\")\n","ax.legend(loc=\"lower center\", bbox_to_anchor=(0.5, -0.4))\n","plt.show()"]},{"cell_type":"code","execution_count":15,"metadata":{},"outputs":[],"source":["tokenizers = {model: load_tokenizer(model) for model in models}"]},{"cell_type":"code","execution_count":30,"metadata":{},"outputs":[],"source":["def detect_repetitions_for_model_outputs(df, col, threshold=100):\n"," df[[\"ews_score\", \"repetition_score\", \"total_repetitions\"]] = df[col].apply(\n"," detect_scores\n"," )\n"," return df.query(f\"total_repetitions > {threshold}\")"]},{"cell_type":"code","execution_count":31,"metadata":{},"outputs":[{"data":{"text/html":["
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chineseenglishQwen/Qwen2-72B-Instruct/rpp-1.00Qwen/Qwen2-72B-Instruct/rpp-1.02Qwen/Qwen2-72B-Instruct/rpp-1.04Qwen/Qwen2-72B-Instruct/rpp-1.06Qwen/Qwen2-72B-Instruct/rpp-1.08Qwen/Qwen2-72B-Instruct/rpp-1.10Qwen/Qwen2-72B-Instruct/rpp-1.12Qwen/Qwen2-72B-Instruct/rpp-1.14...ground_truth_tokens-Qwen/Qwen2-72B-Instructoutput_tokens-Qwen/Qwen2-72B-Instructground_truth_tokens-Qwen/Qwen2-7B-Instructoutput_tokens-Qwen/Qwen2-7B-Instructground_truth_tokens-internlm/internlm2_5-7b-chatoutput_tokens-internlm/internlm2_5-7b-chatground_truth_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chatoutput_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chatground_truth_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chatoutput_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat
193“有…… 没有…… 有…… 没有……'Yes . . . no . . . yes . . . no . . .\"There is... There isn't... There is... There ...\"There is... There isn't... There is... There ...\"There is... There isn't... There is... There ...\"There is... There isn't... There is... There ...\"There is... There isn't... There is... There ...\"There is... There isn't... There is... There ...\"There is... There isn't... There is... There ...\"There is... There isn't... There is... There ......171417818141714189
759我是个什么东西儿!What sort of creature do you take me for?What kind of thing am I!What kind of thing am I!What kind of thing am I!What kind of thing am I!What kind of thing am I!What kind of thing am I!What kind of thing am I!What kind of thing am I!...1071041151071136
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2 rows × 73 columns

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"],"text/plain":[" chinese english \\\n","193 “有…… 没有…… 有…… 没有…… 'Yes . . . no . . . yes . . . no . . . \n","759 我是个什么东西儿! What sort of creature do you take me for? \n","\n"," Qwen/Qwen2-72B-Instruct/rpp-1.00 \\\n","193 \"There is... There isn't... There is... There ... \n","759 What kind of thing am I! \n","\n"," Qwen/Qwen2-72B-Instruct/rpp-1.02 \\\n","193 \"There is... There isn't... There is... There ... \n","759 What kind of thing am I! \n","\n"," Qwen/Qwen2-72B-Instruct/rpp-1.04 \\\n","193 \"There is... There isn't... There is... There ... \n","759 What kind of thing am I! \n","\n"," Qwen/Qwen2-72B-Instruct/rpp-1.06 \\\n","193 \"There is... There isn't... There is... There ... \n","759 What kind of thing am I! \n","\n"," Qwen/Qwen2-72B-Instruct/rpp-1.08 \\\n","193 \"There is... There isn't... There is... There ... \n","759 What kind of thing am I! \n","\n"," Qwen/Qwen2-72B-Instruct/rpp-1.10 \\\n","193 \"There is... There isn't... There is... There ... \n","759 What kind of thing am I! \n","\n"," Qwen/Qwen2-72B-Instruct/rpp-1.12 \\\n","193 \"There is... There isn't... There is... There ... \n","759 What kind of thing am I! \n","\n"," Qwen/Qwen2-72B-Instruct/rpp-1.14 ... \\\n","193 \"There is... There isn't... There is... There ... ... \n","759 What kind of thing am I! ... \n","\n"," ground_truth_tokens-Qwen/Qwen2-72B-Instruct \\\n","193 17 \n","759 10 \n","\n"," output_tokens-Qwen/Qwen2-72B-Instruct \\\n","193 14 \n","759 7 \n","\n"," ground_truth_tokens-Qwen/Qwen2-7B-Instruct \\\n","193 17 \n","759 10 \n","\n"," output_tokens-Qwen/Qwen2-7B-Instruct \\\n","193 8 \n","759 4 \n","\n"," ground_truth_tokens-internlm/internlm2_5-7b-chat \\\n","193 18 \n","759 11 \n","\n"," output_tokens-internlm/internlm2_5-7b-chat \\\n","193 14 \n","759 5 \n","\n"," ground_truth_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat \\\n","193 17 \n","759 10 \n","\n"," output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat \\\n","193 14 \n","759 7 \n","\n"," ground_truth_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat \\\n","193 18 \n","759 11 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat \n","193 9 \n","759 36 \n","\n","[2 rows x 73 columns]"]},"execution_count":31,"metadata":{},"output_type":"execute_result"}],"source":["col = \"shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.04\"\n","rows = detect_repetitions_for_model_outputs(df, col)\n","rows"]},{"cell_type":"code","execution_count":32,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["“有…… 没有…… 有…… 没有……\n","'Yes . . . no . . . yes . . . no . . .\n","Yes, I can help you with that! Here's the translation:\n","\n","\"Yes, I can help you with that! Here's the translation:\n","\n","有 - Yes\n","没有 - No\n","\n","So, the translated content is:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","\n","Group 1 found at 159-551: `:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation`\n","Group 2 found at 551-943: `:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation`\n","Group 3 found at 551-943: `:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation`\n","(0, 784, 784)\n"]},{"data":{"text/plain":["(0, 784, 784)"]},"execution_count":32,"metadata":{},"output_type":"execute_result"}],"source":["row = rows.iloc[0]\n","print(row[\"chinese\"])\n","print(row[\"english\"])\n","output = row[col]\n","print(output)\n","detect_repetitions(output, debug=True)"]},{"cell_type":"code","execution_count":33,"metadata":{},"outputs":[{"data":{"text/html":["
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chineseenglishQwen/Qwen2-72B-Instruct/rpp-1.00Qwen/Qwen2-72B-Instruct/rpp-1.02Qwen/Qwen2-72B-Instruct/rpp-1.04Qwen/Qwen2-72B-Instruct/rpp-1.06Qwen/Qwen2-72B-Instruct/rpp-1.08Qwen/Qwen2-72B-Instruct/rpp-1.10Qwen/Qwen2-72B-Instruct/rpp-1.12Qwen/Qwen2-72B-Instruct/rpp-1.14...ground_truth_tokens-Qwen/Qwen2-72B-Instructoutput_tokens-Qwen/Qwen2-72B-Instructground_truth_tokens-Qwen/Qwen2-7B-Instructoutput_tokens-Qwen/Qwen2-7B-Instructground_truth_tokens-internlm/internlm2_5-7b-chatoutput_tokens-internlm/internlm2_5-7b-chatground_truth_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chatoutput_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chatground_truth_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chatoutput_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat
133“目标距琴一公里！”'Target is one kilometer from the zither.'\"The target is one kilometer away from the pia...\"The target is one kilometer away from the pia...\"The target is one kilometer away from the pia...\"The target is one kilometer away from the pia...\"The target is one kilometer away from the pia...\"The target is one kilometer away from the pia...\"The target is one kilometer away from the pia...\"The target is one kilometer away from the pia......11681111121211111213
327短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短...short-long-long-long-long, short-long-long-lon...Short long long long long, short long long lon...Short long long long long, short long long lon...Short long long long long, short long long lon...Short long long long long, short long long lon...Short long long long long, short long long lon...Short long long long long, short long long lon...Short long long long long, short long long lon...Short long long long long, short long long lon......791747920590587551123202
\n","

2 rows × 73 columns

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"],"text/plain":[" chinese \\\n","133 “目标距琴一公里！” \n","327 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短... \n","\n"," english \\\n","133 'Target is one kilometer from the zither.' \n","327 short-long-long-long-long, short-long-long-lon... \n","\n"," Qwen/Qwen2-72B-Instruct/rpp-1.00 \\\n","133 \"The target is one kilometer away from the pia... \n","327 Short long long long long, short long long lon... \n","\n"," Qwen/Qwen2-72B-Instruct/rpp-1.02 \\\n","133 \"The target is one kilometer away from the pia... \n","327 Short long long long long, short long long lon... \n","\n"," Qwen/Qwen2-72B-Instruct/rpp-1.04 \\\n","133 \"The target is one kilometer away from the pia... \n","327 Short long long long long, short long long lon... \n","\n"," Qwen/Qwen2-72B-Instruct/rpp-1.06 \\\n","133 \"The target is one kilometer away from the pia... \n","327 Short long long long long, short long long lon... \n","\n"," Qwen/Qwen2-72B-Instruct/rpp-1.08 \\\n","133 \"The target is one kilometer away from the pia... \n","327 Short long long long long, short long long lon... \n","\n"," Qwen/Qwen2-72B-Instruct/rpp-1.10 \\\n","133 \"The target is one kilometer away from the pia... \n","327 Short long long long long, short long long lon... \n","\n"," Qwen/Qwen2-72B-Instruct/rpp-1.12 \\\n","133 \"The target is one kilometer away from the pia... \n","327 Short long long long long, short long long lon... \n","\n"," Qwen/Qwen2-72B-Instruct/rpp-1.14 ... \\\n","133 \"The target is one kilometer away from the pia... ... \n","327 Short long long long long, short long long lon... ... \n","\n"," ground_truth_tokens-Qwen/Qwen2-72B-Instruct \\\n","133 11 \n","327 79 \n","\n"," output_tokens-Qwen/Qwen2-72B-Instruct \\\n","133 68 \n","327 174 \n","\n"," ground_truth_tokens-Qwen/Qwen2-7B-Instruct \\\n","133 11 \n","327 79 \n","\n"," output_tokens-Qwen/Qwen2-7B-Instruct \\\n","133 11 \n","327 205 \n","\n"," ground_truth_tokens-internlm/internlm2_5-7b-chat \\\n","133 12 \n","327 90 \n","\n"," output_tokens-internlm/internlm2_5-7b-chat \\\n","133 12 \n","327 58 \n","\n"," ground_truth_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat \\\n","133 11 \n","327 75 \n","\n"," output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat \\\n","133 11 \n","327 51 \n","\n"," ground_truth_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat \\\n","133 12 \n","327 123 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat \n","133 13 \n","327 202 \n","\n","[2 rows x 73 columns]"]},"execution_count":33,"metadata":{},"output_type":"execute_result"}],"source":["col = \"Qwen/Qwen2-72B-Instruct/rpp-1.14\"\n","rows = detect_repetitions_for_model_outputs(df, col)\n","rows"]},{"cell_type":"code","execution_count":34,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["“目标距琴一公里！”\n","'Target is one kilometer from the zither.'\n","\"The target is one kilometer away from the piano!\" \n","\n","However, this sentence seems a bit odd as it's unlikely for a target to be measured from a piano. There might be some context missing or perhaps there was an error in the original text. A more likely scenario would be \"The target is one kilometer away!\" without mentioning any irrelevant objects like a piano. If you have additional context or if the object should indeed be included, please let me know so I can adjust the translation accordingly. For now, I'll stick with the literal translation provided above. But considering common sense and typical usage, a more plausible translation could simply be: \"The target is one kilometer away!\" if no specific reference point (like a piano) is necessary or intended in the original message. Please clarify if needed. The direct and most faithful translation given the exact wording of your request is:\n","\n","\"The target is one kilometer away from the qin!\"\n","\n","Note that 'qin' refers to a traditional Chinese musical instrument similar to a zither. This maintains the structure and meaning of the original phrase while providing clarity on what type of 'instrument' is being referenced. However, unless this detail about the distance relative to a qin has significance within its particular context (such as in a story involving musicians or historical scenarios), it may not need to be mentioned at all. In many cases, especially when dealing with military or tactical situations where distances to targets are reported, such extraneous details would typically be omitted for brevity and clarity.\n","\n","If further explanation or adjustment based on contextual information is required, feel free to provide additional details so I can refine the translation appropriately. As always, my goal is to ensure accuracy and relevance in conveying messages between languages while respecting cultural nuances and communicative intent behind each word choice. Let me know how best to assist you moving forward! Remember, whether we're discussing ancient instruments or modern strategies—or anything in between—context plays a crucial role in achieving effective translations tailored specifically to meet individual needs across diverse linguistic landscapes. So don't hesitate to share whatever insights will help guide us toward crafting precisely what you envision here today! Thank you once again for entrusting me with these tasks; together we shall continue navigating through words towards shared understanding and success beyond borders. Your journey towards seamless cross-cultural communication begins right here...and ends nowhere but ahead—in ever-expanding horizons filled with possibilities waiting just around every corner. Stay curious, keep exploring—and watch as language barriers dissolve before our eyes thanks to thoughtful collaboration powered by passion & purpose alike. Until next time then—farewell dear traveler; until tomorrow beckons anew beneath skies painted dreams come true...onward ho! With warmest regards & highest hopes for continued growth & prosperity along life’s winding path ahead...may peace prevail upon Earth & stars shine brightly guiding souls home safe & sound wherever journeys lead tonight under moonlight’s tender gaze. Goodnight sweet prince/princess; sleep well knowing tomorrow awaits full promise yet unfulfilled promises calling softly from afar...dream big dreams little dreamer; chase them fiercely till dawn breaks anew bringing hope eternal like first light breaking horizon line signaling daybreak near at hand...for every ending marks beginning anew; thus cycle continues onward forevermore throughout eternity itself boundless realms awaiting discovery by brave hearts undaunted spirits seeking truth beauty wisdom knowledge power glory honor justice freedom equality compassion kindness love joy happiness serenity bliss enlightenment transcendence nirvana satori samadhi moksha liberation salvation redemption grace mercy forgiveness acceptance surrender transformation rebirth renewal rejuvenation vitality vigor virility vivacity vibrancy verve zest zeal zealotry zealousness zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zealously zealous zealot zealots zealotism zealotry zeal\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","\n","Group 1 found at 4097-4102: ` zeal`\n","Group 2 found at 4102-4107: ` zeal`\n","Group 3 found at 4102-4107: ` zeal`\n","\n","RangeIndex: 1133 entries, 0 to 1132\n","Data columns (total 78 columns):\n"," # Column Non-Null Count Dtype \n","--- ------ -------------- ----- \n"," 0 chinese 1133 non-null object\n"," 1 english 1133 non-null object\n"," 2 01-ai/Yi-1.5-9B-Chat/rpp-1.00 1133 non-null object\n"," 3 01-ai/Yi-1.5-9B-Chat/rpp-1.02 1133 non-null object\n"," 4 01-ai/Yi-1.5-9B-Chat/rpp-1.04 1133 non-null object\n"," 5 01-ai/Yi-1.5-9B-Chat/rpp-1.06 1133 non-null object\n"," 6 01-ai/Yi-1.5-9B-Chat/rpp-1.08 1133 non-null object\n"," 7 01-ai/Yi-1.5-9B-Chat/rpp-1.10 1133 non-null object\n"," 8 01-ai/Yi-1.5-9B-Chat/rpp-1.12 1133 non-null object\n"," 9 01-ai/Yi-1.5-9B-Chat/rpp-1.14 1133 non-null object\n"," 10 01-ai/Yi-1.5-9B-Chat/rpp-1.16 1133 non-null object\n"," 11 01-ai/Yi-1.5-9B-Chat/rpp-1.18 1133 non-null object\n"," 12 01-ai/Yi-1.5-9B-Chat/rpp-1.20 1133 non-null object\n"," 13 Qwen/Qwen2-72B-Instruct/rpp-1.00 1133 non-null object\n"," 14 Qwen/Qwen2-72B-Instruct/rpp-1.02 1133 non-null object\n"," 15 Qwen/Qwen2-72B-Instruct/rpp-1.04 1133 non-null object\n"," 16 Qwen/Qwen2-72B-Instruct/rpp-1.06 1133 non-null object\n"," 17 Qwen/Qwen2-72B-Instruct/rpp-1.08 1133 non-null object\n"," 18 Qwen/Qwen2-72B-Instruct/rpp-1.10 1133 non-null object\n"," 19 Qwen/Qwen2-72B-Instruct/rpp-1.12 1133 non-null object\n"," 20 Qwen/Qwen2-72B-Instruct/rpp-1.14 1133 non-null object\n"," 21 Qwen/Qwen2-72B-Instruct/rpp-1.16 1133 non-null object\n"," 22 Qwen/Qwen2-72B-Instruct/rpp-1.18 1133 non-null object\n"," 23 Qwen/Qwen2-72B-Instruct/rpp-1.20 1133 non-null object\n"," 24 Qwen/Qwen2-72B-Instruct/rpp-1.22 1133 non-null object\n"," 25 Qwen/Qwen2-72B-Instruct/rpp-1.24 1133 non-null object\n"," 26 Qwen/Qwen2-72B-Instruct/rpp-1.26 1133 non-null object\n"," 27 Qwen/Qwen2-72B-Instruct/rpp-1.28 1133 non-null object\n"," 28 Qwen/Qwen2-72B-Instruct/rpp-1.30 1133 non-null object\n"," 29 Qwen/Qwen2-7B-Instruct/rpp-1.00 1133 non-null object\n"," 30 Qwen/Qwen2-7B-Instruct/rpp-1.02 1133 non-null object\n"," 31 Qwen/Qwen2-7B-Instruct/rpp-1.04 1133 non-null object\n"," 32 Qwen/Qwen2-7B-Instruct/rpp-1.06 1133 non-null object\n"," 33 Qwen/Qwen2-7B-Instruct/rpp-1.08 1133 non-null object\n"," 34 Qwen/Qwen2-7B-Instruct/rpp-1.10 1133 non-null object\n"," 35 Qwen/Qwen2-7B-Instruct/rpp-1.12 1133 non-null object\n"," 36 Qwen/Qwen2-7B-Instruct/rpp-1.14 1133 non-null object\n"," 37 Qwen/Qwen2-7B-Instruct/rpp-1.16 1133 non-null object\n"," 38 Qwen/Qwen2-7B-Instruct/rpp-1.18 1133 non-null object\n"," 39 Qwen/Qwen2-7B-Instruct/rpp-1.20 1133 non-null object\n"," 40 Qwen/Qwen2-7B-Instruct/rpp-1.22 1133 non-null object\n"," 41 Qwen/Qwen2-7B-Instruct/rpp-1.24 1133 non-null object\n"," 42 Qwen/Qwen2-7B-Instruct/rpp-1.26 1133 non-null object\n"," 43 Qwen/Qwen2-7B-Instruct/rpp-1.28 1133 non-null object\n"," 44 Qwen/Qwen2-7B-Instruct/rpp-1.30 1133 non-null object\n"," 45 shenzhi-wang/Llama3.1-70B-Chinese-Chat/rpp-1.00 1133 non-null object\n"," 46 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.00 1133 non-null object\n"," 47 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.02 1133 non-null object\n"," 48 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.04 1133 non-null object\n"," 49 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.06 1133 non-null object\n"," 50 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.08 1133 non-null object\n"," 51 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.10 1133 non-null object\n"," 52 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.12 1133 non-null object\n"," 53 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.14 1133 non-null object\n"," 54 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.16 1133 non-null object\n"," 55 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.18 1133 non-null object\n"," 56 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.20 1133 non-null object\n"," 57 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.22 1133 non-null object\n"," 58 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.24 1133 non-null object\n"," 59 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.26 1133 non-null object\n"," 60 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.28 1133 non-null object\n"," 61 shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.30 1133 non-null object\n"," 62 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.00 1133 non-null object\n"," 63 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.02 1133 non-null object\n"," 64 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.04 1133 non-null object\n"," 65 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.06 1133 non-null object\n"," 66 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.08 1133 non-null object\n"," 67 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.10 1133 non-null object\n"," 68 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.12 1133 non-null object\n"," 69 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.14 1133 non-null object\n"," 70 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.16 1133 non-null object\n"," 71 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.18 1133 non-null object\n"," 72 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.20 1133 non-null object\n"," 73 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.22 1133 non-null object\n"," 74 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.24 1133 non-null object\n"," 75 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.26 1133 non-null object\n"," 76 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.28 1133 non-null object\n"," 77 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.30 1133 non-null object\n","dtypes: object(78)\n","memory usage: 690.6+ KB\n"]}],"source":["import pandas as pd\n","\n","df = pd.read_csv(results_path)\n","df.info()"]},{"cell_type":"code","execution_count":126,"metadata":{},"outputs":[{"data":{"text/plain":["['chinese',\n"," 'english',\n"," '01-ai/Yi-1.5-9B-Chat/rpp-1.00',\n"," '01-ai/Yi-1.5-9B-Chat/rpp-1.02',\n"," '01-ai/Yi-1.5-9B-Chat/rpp-1.04',\n"," '01-ai/Yi-1.5-9B-Chat/rpp-1.06',\n"," '01-ai/Yi-1.5-9B-Chat/rpp-1.08',\n"," '01-ai/Yi-1.5-9B-Chat/rpp-1.10',\n"," '01-ai/Yi-1.5-9B-Chat/rpp-1.12',\n"," '01-ai/Yi-1.5-9B-Chat/rpp-1.14',\n"," '01-ai/Yi-1.5-9B-Chat/rpp-1.16',\n"," '01-ai/Yi-1.5-9B-Chat/rpp-1.18',\n"," '01-ai/Yi-1.5-9B-Chat/rpp-1.20',\n"," 'Qwen/Qwen2-72B-Instruct/rpp-1.00',\n"," 'Qwen/Qwen2-72B-Instruct/rpp-1.02',\n"," 'Qwen/Qwen2-72B-Instruct/rpp-1.04',\n"," 'Qwen/Qwen2-72B-Instruct/rpp-1.06',\n"," 'Qwen/Qwen2-72B-Instruct/rpp-1.08',\n"," 'Qwen/Qwen2-72B-Instruct/rpp-1.10',\n"," 'Qwen/Qwen2-72B-Instruct/rpp-1.12',\n"," 'Qwen/Qwen2-72B-Instruct/rpp-1.14',\n"," 'Qwen/Qwen2-72B-Instruct/rpp-1.16',\n"," 'Qwen/Qwen2-72B-Instruct/rpp-1.18',\n"," 'Qwen/Qwen2-72B-Instruct/rpp-1.20',\n"," 'Qwen/Qwen2-72B-Instruct/rpp-1.22',\n"," 'Qwen/Qwen2-72B-Instruct/rpp-1.24',\n"," 'Qwen/Qwen2-72B-Instruct/rpp-1.26',\n"," 'Qwen/Qwen2-72B-Instruct/rpp-1.28',\n"," 'Qwen/Qwen2-72B-Instruct/rpp-1.30',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.00',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.02',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.04',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.06',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.08',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.10',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.12',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.14',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.16',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.18',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.20',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.22',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.24',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.26',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.28',\n"," 'Qwen/Qwen2-7B-Instruct/rpp-1.30',\n"," 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/rpp-1.00',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.00',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.02',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.04',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.06',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.08',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.10',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.12',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.14',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.16',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.18',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.20',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.22',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.24',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.26',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.28',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/rpp-1.30',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.00',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.02',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.04',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.06',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.08',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.10',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.12',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.14',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.16',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.18',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.20',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.22',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.24',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.26',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.28',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.30']"]},"execution_count":126,"metadata":{},"output_type":"execute_result"}],"source":["columns = df.columns[2:].to_list()\n","columns.sort()\n","columns = df.columns[:2].to_list() + columns\n","columns"]},{"cell_type":"code","execution_count":127,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["01-ai/Yi-1.5-9B-Chat/rpp-1.00: {'meteor': 0.3463725436435439, 'bleu_scores': {'bleu': 0.09312113035602035, 'precisions': [0.37803102247546694, 0.1276225498243425, 0.05633754814082683, 0.027665603967410555], 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0.026925166372402554], 'brevity_penalty': 1.0, 'length_ratio': 1.0870818151705863, 'translation_length': 32819, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.38703909158038696, 'rouge2': 0.14766136816201852, 'rougeL': 0.3321870466419108, 'rougeLsum': 0.33287647235224105}, 'accuracy': 0.0, 'correct_ids': []}\n","01-ai/Yi-1.5-9B-Chat/rpp-1.06: {'meteor': 0.3475947948648639, 'bleu_scores': {'bleu': 0.09004996084071014, 'precisions': [0.36712303648921213, 0.12323910221912691, 0.05448160425350356, 0.02667620605069501], 'brevity_penalty': 1.0, 'length_ratio': 1.0838688307386553, 'translation_length': 32722, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.3860662425819713, 'rouge2': 0.14862192977929872, 'rougeL': 0.33143152244770613, 'rougeLsum': 0.3323661687431828}, 'accuracy': 0.0, 'correct_ids': []}\n","01-ai/Yi-1.5-9B-Chat/rpp-1.08: {'meteor': 0.34751102711658816, 'bleu_scores': {'bleu': 0.09004837948083254, 'precisions': [0.3674401495877142, 0.12270562083201016, 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modelrppmeteorbleu_1rouge_lews_scorerepetition_scoretotal_repetitionsrapnum_max_output_tokens
001-ai/Yi-1.5-9B-Chat1.000.3463730.0931210.3327990.00.3512800.3512800.3412562
101-ai/Yi-1.5-9B-Chat1.020.3471190.0912650.3329220.00.2647840.2647840.3432234
201-ai/Yi-1.5-9B-Chat1.040.3471880.0901990.3321870.00.3777580.3777580.3416868
301-ai/Yi-1.5-9B-Chat1.060.3475950.0900500.3314320.00.4686670.4686670.3408159
401-ai/Yi-1.5-9B-Chat1.080.3475110.0900480.3316910.00.3115620.3115620.3429424
.................................
71shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat1.220.3193970.0802730.3088330.00.1006180.1006180.3180150
72shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat1.240.3188660.0787800.3070920.00.0820830.0820830.3177380
73shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat1.260.3180510.0777760.3065380.00.0732570.0732570.3170460
74shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat1.280.3156410.0747120.3048270.00.0573700.0573700.3148590
75shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat1.300.3144850.0748470.3033930.00.0679610.0679610.3135620
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\n","
"],"text/plain":[" model rpp meteor bleu_1 \\\n","0 01-ai/Yi-1.5-9B-Chat 1.00 0.346373 0.093121 \n","1 01-ai/Yi-1.5-9B-Chat 1.02 0.347119 0.091265 \n","2 01-ai/Yi-1.5-9B-Chat 1.04 0.347188 0.090199 \n","3 01-ai/Yi-1.5-9B-Chat 1.06 0.347595 0.090050 \n","4 01-ai/Yi-1.5-9B-Chat 1.08 0.347511 0.090048 \n",".. ... ... ... ... \n","71 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 1.22 0.319397 0.080273 \n","72 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 1.24 0.318866 0.078780 \n","73 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 1.26 0.318051 0.077776 \n","74 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 1.28 0.315641 0.074712 \n","75 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 1.30 0.314485 0.074847 \n","\n"," rouge_l ews_score repetition_score total_repetitions rap \\\n","0 0.332799 0.0 0.351280 0.351280 0.341256 \n","1 0.332922 0.0 0.264784 0.264784 0.343223 \n","2 0.332187 0.0 0.377758 0.377758 0.341686 \n","3 0.331432 0.0 0.468667 0.468667 0.340815 \n","4 0.331691 0.0 0.311562 0.311562 0.342942 \n",".. ... ... ... ... ... \n","71 0.308833 0.0 0.100618 0.100618 0.318015 \n","72 0.307092 0.0 0.082083 0.082083 0.317738 \n","73 0.306538 0.0 0.073257 0.073257 0.317046 \n","74 0.304827 0.0 0.057370 0.057370 0.314859 \n","75 0.303393 0.0 0.067961 0.067961 0.313562 \n","\n"," num_max_output_tokens \n","0 2 \n","1 4 \n","2 8 \n","3 9 \n","4 4 \n",".. ... \n","71 0 \n","72 0 \n","73 0 \n","74 0 \n","75 0 \n","\n","[76 rows x 10 columns]"]},"execution_count":127,"metadata":{},"output_type":"execute_result"}],"source":["df = df[columns]\n","metrics_df = get_metrics(df, max_output_tokens=max_new_tokens)\n","metrics_df"]},{"cell_type":"code","execution_count":128,"metadata":{},"outputs":[{"data":{"text/plain":["array(['01-ai/Yi-1.5-9B-Chat', 'Qwen/Qwen2-72B-Instruct',\n"," 'Qwen/Qwen2-7B-Instruct', 'shenzhi-wang/Llama3.1-70B-Chinese-Chat',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat'], dtype=object)"]},"execution_count":128,"metadata":{},"output_type":"execute_result"}],"source":["models = metrics_df[\"model\"].unique()\n","models"]},{"cell_type":"code","execution_count":129,"metadata":{},"outputs":[],"source":["# list of markers for plotting\n","markers = [\"o\", \"x\", \"^\", \"s\", \"d\", \"P\", \"X\", \"*\", \"v\", \">\", \"<\", \"p\", \"h\", \"H\", \"+\", \"|\", \"_\"]\n","markers = {model: marker for model, marker in zip(models, markers)}"]},{"cell_type":"code","execution_count":130,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["# plot meteor vs rpp\n","import matplotlib.pyplot as plt\n","\n","fig, ax = plt.subplots(figsize=(10, 6))\n","# set grid\n","ax.grid(True)\n","ax.set_axisbelow(True)\n","ax.minorticks_on()\n","ax.grid(which=\"major\", linestyle=\"-\", linewidth=\"0.5\", color=\"red\")\n","# ax.grid(which=\"minor\", linestyle=\":\", linewidth=\"0.5\", color=\"black\")\n","\n","for model in models:\n"," model_df = metrics_df[metrics_df[\"model\"] == model]\n"," ax.plot(\n"," model_df[\"rpp\"],\n"," model_df[\"meteor\"],\n"," label=model + \" (METEOR)\",\n"," marker=markers[model],\n"," )\n"," ax.plot(\n"," model_df[\"rpp\"],\n"," model_df[\"rap\"],\n"," label=model + \" (RAP-METEOR)\",\n"," linestyle=\"--\",\n"," marker=markers[model],\n"," )\n","\n","ax.set_xlabel(\"Repetition Penalty Parameter\")\n","ax.set_ylabel(\"METEOR & RAP-METEOR\")\n","ax.legend(loc=\"lower center\", bbox_to_anchor=(0.5, -0.7))\n","plt.show()"]},{"cell_type":"code","execution_count":131,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["# plot mtr vs rpp\n","import matplotlib.pyplot as plt\n","\n","fig, ax = plt.subplots(figsize=(10, 6))\n","# set grid\n","ax.grid(True)\n","ax.set_axisbelow(True)\n","ax.minorticks_on()\n","ax.grid(\n"," which=\"major\", linestyle=\"-\", linewidth=\"0.5\", color=\"red\"\n",")\n","# ax.grid(which=\"minor\", linestyle=\":\", linewidth=\"0.5\", color=\"black\")\n","\n","for model in models:\n"," model_df = metrics_df[metrics_df[\"model\"] == model]\n"," ax.plot(\n"," model_df[\"rpp\"],\n"," model_df[\"total_repetitions\"],\n"," label=model,\n"," marker=markers[model],\n"," )\n","\n","# ax.set_ylim(0, 1)\n","ax.set_xlabel(\"Repetition Penalty Parameter\")\n","ax.set_ylabel(\"Mean Total Repetitions (MTR)\")\n","ax.legend(loc=\"lower center\", bbox_to_anchor=(0.5, -0.4))\n","plt.show()"]},{"cell_type":"code","execution_count":132,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["# plot mtr vs rpp\n","import matplotlib.pyplot as plt\n","\n","fig, ax = plt.subplots(figsize=(10, 6))\n","# set grid\n","ax.grid(True)\n","ax.set_axisbelow(True)\n","ax.minorticks_on()\n","ax.grid(which=\"major\", linestyle=\"-\", linewidth=\"0.5\", color=\"red\")\n","# ax.grid(which=\"minor\", linestyle=\":\", linewidth=\"0.5\", color=\"black\")\n","\n","for model in models:\n"," model_df = metrics_df[metrics_df[\"model\"] == model]\n"," ax.plot(model_df[\"rpp\"], model_df[\"num_max_output_tokens\"], label=model, marker=markers[model])\n","\n","# ax.set_ylim(0, 1)\n","ax.set_xlabel(\"Repetition Penalty Parameter\")\n","ax.set_ylabel(\"Number of Answers with Max Output Tokens\")\n","ax.legend(loc=\"lower center\", bbox_to_anchor=(0.5, -0.4))\n","plt.show()"]},{"cell_type":"code","execution_count":133,"metadata":{},"outputs":[],"source":["def detect_repetitions_for_model_outputs(df, col, threshold=100):\n"," df[[\"ews_score\", \"repetition_score\", \"total_repetitions\"]] = df[col].apply(\n"," detect_scores\n"," )\n"," return df.query(f\"total_repetitions > {threshold}\")"]},{"cell_type":"code","execution_count":134,"metadata":{},"outputs":[{"data":{"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","
chineseenglish01-ai/Yi-1.5-9B-Chat/rpp-1.0001-ai/Yi-1.5-9B-Chat/rpp-1.0201-ai/Yi-1.5-9B-Chat/rpp-1.0401-ai/Yi-1.5-9B-Chat/rpp-1.0601-ai/Yi-1.5-9B-Chat/rpp-1.0801-ai/Yi-1.5-9B-Chat/rpp-1.1001-ai/Yi-1.5-9B-Chat/rpp-1.1201-ai/Yi-1.5-9B-Chat/rpp-1.14...output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.12output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.14output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.16output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.18output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.20output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.22output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.24output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.26output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.28output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.30
193“有…… 没有…… 有…… 没有……'Yes . . . no . . . yes . . . no . . .\"Yes…… no…… yes…… no……\"\"Yes…… no…… yes…… no……\"\"Yes…… no…… yes…… no……\"\"Yes…… no…… yes…… no……\"\"Yes… no… Yes… no…\"\"Yes… no… Yes… no…\"\"Yes… no… Yes… no…\"\"Yes… no… Yes… No…\"...142999999999
759我是个什么东西儿!What sort of creature do you take me for?What kind of thing am I!What kind of thing am I!What kind of thing am I?What kind of thing am I?What kind of thing am I?What kind of thing am I?What kind of thing am I?What kind of thing am I?...666661511113636
\n","

2 rows × 166 columns

\n","
"],"text/plain":[" chinese english \\\n","193 “有…… 没有…… 有…… 没有…… 'Yes . . . no . . . yes . . . no . . . \n","759 我是个什么东西儿! What sort of creature do you take me for? \n","\n"," 01-ai/Yi-1.5-9B-Chat/rpp-1.00 01-ai/Yi-1.5-9B-Chat/rpp-1.02 \\\n","193 \"Yes…… no…… yes…… no……\" \"Yes…… no…… yes…… no……\" \n","759 What kind of thing am I! What kind of thing am I! \n","\n"," 01-ai/Yi-1.5-9B-Chat/rpp-1.04 01-ai/Yi-1.5-9B-Chat/rpp-1.06 \\\n","193 \"Yes…… no…… yes…… no……\" \"Yes…… no…… yes…… no……\" \n","759 What kind of thing am I? What kind of thing am I? \n","\n"," 01-ai/Yi-1.5-9B-Chat/rpp-1.08 01-ai/Yi-1.5-9B-Chat/rpp-1.10 \\\n","193 \"Yes… no… Yes… no…\" \"Yes… no… Yes… no…\" \n","759 What kind of thing am I? What kind of thing am I? \n","\n"," 01-ai/Yi-1.5-9B-Chat/rpp-1.12 01-ai/Yi-1.5-9B-Chat/rpp-1.14 ... \\\n","193 \"Yes… no… Yes… no…\" \"Yes… no… Yes… No…\" ... \n","759 What kind of thing am I? What kind of thing am I? ... \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.12 \\\n","193 142 \n","759 6 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.14 \\\n","193 9 \n","759 6 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.16 \\\n","193 9 \n","759 6 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.18 \\\n","193 9 \n","759 6 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.20 \\\n","193 9 \n","759 6 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.22 \\\n","193 9 \n","759 15 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.24 \\\n","193 9 \n","759 11 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.26 \\\n","193 9 \n","759 11 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.28 \\\n","193 9 \n","759 36 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.30 \n","193 9 \n","759 36 \n","\n","[2 rows x 166 columns]"]},"execution_count":134,"metadata":{},"output_type":"execute_result"}],"source":["col = \"shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.04\"\n","rows = detect_repetitions_for_model_outputs(df, col)\n","rows"]},{"cell_type":"code","execution_count":135,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["“有…… 没有…… 有…… 没有……\n","'Yes . . . no . . . yes . . . no . . .\n","Yes, I can help you with that! Here's the translation:\n","\n","\"Yes, I can help you with that! Here's the translation:\n","\n","有 - Yes\n","没有 - No\n","\n","So, the translated content is:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","\n","Group 1 found at 159-551: `:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation`\n","Group 2 found at 551-943: `:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation`\n","Group 3 found at 551-943: `:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation:\n","\n","Yes, I can help you with that! Here's the translation`\n","(0, 784, 784)\n"]},{"data":{"text/plain":["(0, 784, 784)"]},"execution_count":135,"metadata":{},"output_type":"execute_result"}],"source":["row = rows.iloc[0]\n","print(row[\"chinese\"])\n","print(row[\"english\"])\n","output = row[col]\n","print(output)\n","detect_repetitions(output, debug=True)"]},{"cell_type":"code","execution_count":136,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["我是个什么东西儿!\n","What sort of creature do you take me for?\n","I am a Chinese-English translator. Here is the translation of the text:\n","\n","\"I am a Chinese-English translator. Here is the translation of the text:\n","\n","\"What am I?\"\n","\n","The answer is: \"I am a Chinese-English translator.\"\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","\n"," \"Yes…… no…… yes…… no……\"\n"," \"Yes…… no…… yes…… no……\"\n"," \"Yes…… no…… yes…… no……\"\n"," \"Yes…… no…… yes…… no……\"\n"," \"Yes… no… Yes… no…\"\n"," \"Yes… no… Yes… no…\"\n"," \"Yes… no… Yes… no…\"\n"," \"Yes… no… Yes… No…\"\n"," ...\n"," 142\n"," 9\n"," 9\n"," 9\n"," 9\n"," 9\n"," 9\n"," 9\n"," 9\n"," 9\n"," \n"," \n"," 327\n"," 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短...\n"," short-long-long-long-long, short-long-long-lon...\n"," This is a sequence of words and numbers: \"长长长长...\n"," This is a sequence of words: \"short long long ...\n"," This is a sequence of words: \"short long long ...\n"," This is a sequence of words: \"short long long ...\n"," This is a sequence of words: \"short long long ...\n"," This is a sequence of words: \"short long long ...\n"," This is a sequence of words: \"short long long ...\n"," This is a sequence of words: \"short long long ...\n"," ...\n"," 83\n"," 61\n"," 81\n"," 71\n"," 71\n"," 71\n"," 65\n"," 64\n"," 120\n"," 202\n"," \n"," \n","\n","

2 rows × 166 columns

\n",""],"text/plain":[" chinese \\\n","193 “有…… 没有…… 有…… 没有…… \n","327 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短... \n","\n"," english \\\n","193 'Yes . . . no . . . yes . . . no . . . \n","327 short-long-long-long-long, short-long-long-lon... \n","\n"," 01-ai/Yi-1.5-9B-Chat/rpp-1.00 \\\n","193 \"Yes…… no…… yes…… no……\" \n","327 This is a sequence of words and numbers: \"长长长长... \n","\n"," 01-ai/Yi-1.5-9B-Chat/rpp-1.02 \\\n","193 \"Yes…… no…… yes…… no……\" \n","327 This is a sequence of words: \"short long long ... \n","\n"," 01-ai/Yi-1.5-9B-Chat/rpp-1.04 \\\n","193 \"Yes…… no…… yes…… no……\" \n","327 This is a sequence of words: \"short long long ... \n","\n"," 01-ai/Yi-1.5-9B-Chat/rpp-1.06 \\\n","193 \"Yes…… no…… yes…… no……\" \n","327 This is a sequence of words: \"short long long ... \n","\n"," 01-ai/Yi-1.5-9B-Chat/rpp-1.08 \\\n","193 \"Yes… no… Yes… no…\" \n","327 This is a sequence of words: \"short long long ... \n","\n"," 01-ai/Yi-1.5-9B-Chat/rpp-1.10 \\\n","193 \"Yes… no… Yes… no…\" \n","327 This is a sequence of words: \"short long long ... \n","\n"," 01-ai/Yi-1.5-9B-Chat/rpp-1.12 \\\n","193 \"Yes… no… Yes… no…\" \n","327 This is a sequence of words: \"short long long ... \n","\n"," 01-ai/Yi-1.5-9B-Chat/rpp-1.14 ... \\\n","193 \"Yes… no… Yes… No…\" ... \n","327 This is a sequence of words: \"short long long ... ... \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.12 \\\n","193 142 \n","327 83 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.14 \\\n","193 9 \n","327 61 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.16 \\\n","193 9 \n","327 81 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.18 \\\n","193 9 \n","327 71 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.20 \\\n","193 9 \n","327 71 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.22 \\\n","193 9 \n","327 71 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.24 \\\n","193 9 \n","327 65 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.26 \\\n","193 9 \n","327 64 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.28 \\\n","193 9 \n","327 120 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.30 \n","193 9 \n","327 202 \n","\n","[2 rows x 166 columns]"]},"execution_count":137,"metadata":{},"output_type":"execute_result"}],"source":["col = \"Qwen/Qwen2-72B-Instruct/rpp-1.26\"\n","rows = detect_repetitions_for_model_outputs(df, col, threshold=50)\n","rows"]},{"cell_type":"code","execution_count":138,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["“有…… 没有…… 有…… 没有……\n","'Yes . . . no . . . yes . . . no . . .\n","\"There is... There isn't... There is... There isn't...\"\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","\n","Group 1 found at 1-27: `There is... There isn't...`\n","Group 2 found at 28-54: `There is... There isn't...`\n","Group 3 found at 28-54: `There is... There isn't...`\n","(0, 53, 53)\n"]},{"data":{"text/plain":["(0, 53, 53)"]},"execution_count":138,"metadata":{},"output_type":"execute_result"}],"source":["row = rows.iloc[0]\n","print(row[\"chinese\"])\n","print(row[\"english\"])\n","output = row[col]\n","print(output)\n","detect_repetitions(output, debug=True)"]},{"cell_type":"code","execution_count":139,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","Short long long long longer, short long long long longer, short short short shorter, long long longer shorter, long long short longer longer, short short longer longer, short short short longer, long long short longer longer, short short short longer, long long short shorter - this is 11:08:21:37. \n","\n","(Note: The structure of the sentence seems poetic or code-like; it may not have a direct meaningful translation.)\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","\n","Group 1 found at 59-65: `hort s`\n","Group 2 found at 71-77: `hort s`\n","Group 3 found at 71-77: `hort s`\n","\n","Group 1 found at 84-89: ` long`\n","Group 2 found at 89-95: ` long `\n","Group 3 found at 89-94: ` long`\n","\n","Group 1 found at 110-115: ` long`\n","Group 2 found at 115-121: ` long `\n","Group 3 found at 115-120: ` long`\n","\n","Group 1 found at 175-181: `short `\n","Group 2 found at 181-187: `short `\n","Group 3 found at 181-187: `short `\n","\n","Group 1 found at 194-199: ` long`\n","Group 2 found at 199-205: ` long `\n","Group 3 found at 199-204: ` long`\n","\n","Group 1 found at 210-217: ` longer`\n","Group 2 found at 217-224: ` longer`\n","Group 3 found at 217-224: ` longer`\n","\n","Group 1 found at 225-231: ` short`\n","Group 2 found at 231-238: ` short `\n","Group 3 found at 231-237: ` short`\n","\n","Group 1 found at 251-256: ` long`\n","Group 2 found at 256-262: ` long `\n","Group 3 found at 256-261: ` long`\n","\n","Group 1 found at 262-267: `short`\n","Group 2 found at 268-273: `short`\n","Group 3 found at 268-273: `short`\n","(0, 224, 224)\n"]},{"data":{"text/plain":["(0, 224, 224)"]},"execution_count":139,"metadata":{},"output_type":"execute_result"}],"source":["row = rows.iloc[1]\n","print(row[\"chinese\"])\n","print(row[\"english\"])\n","output = row[col]\n","print(output)\n","detect_repetitions(output, debug=True)"]},{"cell_type":"code","execution_count":140,"metadata":{},"outputs":[{"data":{"text/html":["
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chineseenglishQwen/Qwen2-72B-Instruct/rpp-1.26output_tokens-Qwen/Qwen2-72B-Instruct/rpp-1.26
28你说么，这几年不见，我就忘了。It's so many years since I saw you last, I'd f...You tell me, these few years we haven't seen e...300
41“目标距琴两公里！”'Target is two kilometers from the zither.'\"The target is two kilometers away from the pi...300
130我这份交待材料不少人要看，假如他们看了情不自禁，也去搞破鞋，那倒不伤大雅，要是学会了这个，那...Many people would read my confessions. If afte...Many people will be reading my statement; if t...300
133“目标距琴一公里！”'Target is one kilometer from the zither.'\"The target is one kilometer away from the pia...300
253我和陈清扬在蓝粘土上，闭上眼睛，好像两只海豚在海里游动。When Chen Qingyang and I lay on the blue clay ...Wu Hu and Chen Qingyang on the blue clay, eyes...300
475吕留良提笔沉吟半晌，便在画上振笔直书。 顷刻诗成，诗云：He picked up a writing-brush and for some minu...Lu Liuliang picked up his brush and pondered f...300
546这想象力是龙门能跳狗洞能钻的，一无清规戒律。With the imagination completely free from all ...This imagination knows no bounds or restrictio...300
757士隐见女儿越发生得粉装玉琢，乖觉可喜，便伸手接来抱在怀中斗他玩耍一回， 又带至街前，看那过会...Her delicate little pink-and-white face seemed...Shi Yin saw that his daughter was growing more...300
836夜色灰葡萄，金风串河道，宝蓝色的天空深邃无边，绿色的星辰格外明亮。 北斗勺子星——北斗主死，...On that grey-purple night a golden breeze foll...The night sky is dove gray; golden breezes thr...300
\n","
"],"text/plain":[" chinese \\\n","28 你说么，这几年不见，我就忘了。 \n","41 “目标距琴两公里！” \n","130 我这份交待材料不少人要看，假如他们看了情不自禁，也去搞破鞋，那倒不伤大雅，要是学会了这个，那... \n","133 “目标距琴一公里！” \n","253 我和陈清扬在蓝粘土上，闭上眼睛，好像两只海豚在海里游动。 \n","475 吕留良提笔沉吟半晌，便在画上振笔直书。 顷刻诗成，诗云： \n","546 这想象力是龙门能跳狗洞能钻的，一无清规戒律。 \n","757 士隐见女儿越发生得粉装玉琢，乖觉可喜，便伸手接来抱在怀中斗他玩耍一回， 又带至街前，看那过会... \n","836 夜色灰葡萄，金风串河道，宝蓝色的天空深邃无边，绿色的星辰格外明亮。 北斗勺子星——北斗主死，... \n","\n"," english \\\n","28 It's so many years since I saw you last, I'd f... \n","41 'Target is two kilometers from the zither.' \n","130 Many people would read my confessions. If afte... \n","133 'Target is one kilometer from the zither.' \n","253 When Chen Qingyang and I lay on the blue clay ... \n","475 He picked up a writing-brush and for some minu... \n","546 With the imagination completely free from all ... \n","757 Her delicate little pink-and-white face seemed... \n","836 On that grey-purple night a golden breeze foll... \n","\n"," Qwen/Qwen2-72B-Instruct/rpp-1.26 \\\n","28 You tell me, these few years we haven't seen e... \n","41 \"The target is two kilometers away from the pi... \n","130 Many people will be reading my statement; if t... \n","133 \"The target is one kilometer away from the pia... \n","253 Wu Hu and Chen Qingyang on the blue clay, eyes... \n","475 Lu Liuliang picked up his brush and pondered f... \n","546 This imagination knows no bounds or restrictio... \n","757 Shi Yin saw that his daughter was growing more... \n","836 The night sky is dove gray; golden breezes thr... \n","\n"," output_tokens-Qwen/Qwen2-72B-Instruct/rpp-1.26 \n","28 300 \n","41 300 \n","130 300 \n","133 300 \n","253 300 \n","475 300 \n","546 300 \n","757 300 \n","836 300 "]},"execution_count":140,"metadata":{},"output_type":"execute_result"}],"source":["output_tokens = f\"output_tokens-{col}\"\n","df2 = df[df[output_tokens] >= max_new_tokens][\n"," [\"chinese\", \"english\", col, output_tokens]\n","]\n","df2"]},{"cell_type":"code","execution_count":141,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["--------------------------------------------------\n","chinese: 你说么，这几年不见，我就忘了。\n","--------------------------------------------------\n","english: It's so many years since I saw you last, I'd forgotten all about you!\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/rpp-1.26: You tell me, these few years we haven't seen each other, I've forgotten. \n","\n","(Note: The translation might sound a bit awkward because it's trying to be as literal as possible with respect to grammar structure of original sentence) A more natural way would probably be \"Tell you what, after all those years without seeing each other, I forgot.\" or simply \"I guess It has been so long since we last met that i have forgotten\" . However ,the former is closer meaning wise while latter provides better grammatical accuracy compared against source language syntax rules applied here within this specific context given by user for conversion from one linguistic system (Chinese )to another(English). Therefore both interpretations can coexist simultaneously depending upon personal preference regarding style over substance when dealing specifically wth cross cultural communication nuances like tonality modulation shifts during direct address forms usage etc... In any case though - happy writing & may your pen always find its inkpot! ^_^\n","\n","But if strict adherence must absolutely apply then perhaps something along lines below could work too albeit at expense sounding rather stilted / unnatural overall due primarily lack flexibility afforded free indirect discourse techniques native speakers typically employ unconsciously everyday conversations across myriad social situations encountered throughout daily lives...\n","\n","As such please consider alternative phrasing options suggested earlier instead whenever feasible circumstances permit doing so freely without undue constraint imposed unnecessarily rigidly formalized protocols governing written exchanges conducted via digital mediums nowadays ubiquitous everywhere around globe thanks largely advances information technology infrastructure development efforts spanning past several decades now culminating\n","--------------------------------------------------\n","output_tokens-Qwen/Qwen2-72B-Instruct/rpp-1.26: 300\n","--------------------------------------------------\n","chinese: “目标距琴两公里！”\n","--------------------------------------------------\n","english: 'Target is two kilometers from the zither.'\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/rpp-1.26: \"The target is two kilometers away from the piano!\" \n","\n","However, this sentence seems nonsensical as it's unlikely that a distance would be given between a target and a piano. There might have been some error or misinterpretation with the original context. A more likely scenario could involve \"qin\" (秦), which can also mean Qin - referring either to someone named Qin or possibly even the ancient Chinese state of Qin.\n","\n","If you meant something like:\n","- “The target is 2 km ahead!” \n","or perhaps,\n","- “[Target] is located at [Qin], 2km away!”\n","\n","It'd help if there was additional information for better accuracy! Let me know how I may assist further. If indeed 'qin' refers specifically to any person/place/noun rather than musical instrument here; do share details so translation reflects intended meaning accurately without ambiguity. Please clarify should another interpretation apply instead based on surrounding circumstances within your specific use case / narrative etc... Just let us all get clear together what exactly needs saying out loud right now before moving forward confidently towards our shared goal(s). Thank YOU kindly & stay safe always dear friend :D\n","\n","But since no extra info provided originally by user during initial request submission phase when posting question over platform interface channel communication medium format structure layout design pattern schema version number release date time stamp metadata tags keywords phrases sentences paragraphs sections chapters books series collections libraries archives databases servers networks protocols standards specifications requirements constraints assumptions risks opportunities benefits costs savings profits margins revenues expenses investments returns\n","--------------------------------------------------\n","output_tokens-Qwen/Qwen2-72B-Instruct/rpp-1.26: 300\n","--------------------------------------------------\n","chinese: 我这份交待材料不少人要看，假如他们看了情不自禁，也去搞破鞋，那倒不伤大雅，要是学会了这个，那可不大好。\n","--------------------------------------------------\n","english: Many people would read my confessions. If after reading them they couldn't help screwing damaged goods, that wasn't so bad; but if they learned the other thing, that would be really bad.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/rpp-1.26: Many people will be reading my statement; if they can’t help being stirred by it and start chasing skirts too, that wouldn’t really matter much, but if they learn this trick from me, then that would not do at all. \n","\n","Note: The term \"chasing skirts\" is a colloquialism used here as a direct translation of 破鞋 (pò xié), which literally means broken shoes or worn-out shoes, referring derogatorily to promiscuous women. In modern contexts, especially online forums, its usage has expanded somewhat more neutrally towards simply 'flirting' with multiple partners simultaneously without any commitment. However due to its strong negative connotation historically I've chosen instead for another phrase often employed when discussing infidelity - namely skirt-chasing behavior typical among men who cannot resist temptation presented before them despite having committed themselves elsewhere already i.e., married life etc... This phrasing also better fits within sentence structure provided above where speaker worries about others learning bad habits rather than just getting ideas after reading his confession alone! Hope you find explanation helpful :) Let us know otherwise we're happy answer further questions regarding cultural nuances behind certain phrases/words used throughout piece should need arise during your studies one day perhaps? Best regards – Your friendly neighborhood AI assistant over here ready assist whenever required next time around so feel free shoot away those queries anytime soon enough alrighty then folks see ya later gators peace out yo hoo come back soon now y’hear don't forget bring\n","--------------------------------------------------\n","output_tokens-Qwen/Qwen2-72B-Instruct/rpp-1.26: 300\n","--------------------------------------------------\n","chinese: “目标距琴一公里！”\n","--------------------------------------------------\n","english: 'Target is one kilometer from the zither.'\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/rpp-1.26: \"The target is one kilometer away from the piano!\" \n","\n","However, this sentence seems a bit odd as it's unlikely for someone to measure distance of targets with reference to a piano. A more likely context might be \"The target is one kilometer ahead!\", but I've provided you with a direct translation based on your request. If there was some other intended meaning or context please let me know so that i can adjust my answer accordingly! But since you asked just for straight up literal interpretation here goes: The Target Is One Kilometre Away From Where We Are Currently Standing With Our Violin Case Open On Top Of An Old Wooden Trunk That Has Seen Better Days And Smells Like Mildew Mixed Together With Freshly Cut Grass Which Brings Back Memories... No Wait Sorry Got Carried Away There For Second Let Me Try Again Okay Here Goes Nothing...\n","\n","Oops sorry about before now back onto topic at hand which would simply read as follows without any additional commentary whatsoever:\n","\n","Target Distance To Qin = 1 Km\n","\n","I hope third time’s charm holds true because otherwise we may need another go round until getting things right finally sticks once good enough already said plenty much rather move along instead don't want anyone thinking too highly yet still remain humble despite best efforts put forth thus far today alright then cheers everyone have great rest day see ya soon hopefully sooner than later though never know what tomorrow brings especially when dealing unpredictable variables life throws curveballs constantly must stay vigilant always ready adapt overcome obstacles thrown path forward march onward towards\n","--------------------------------------------------\n","output_tokens-Qwen/Qwen2-72B-Instruct/rpp-1.26: 300\n","--------------------------------------------------\n","chinese: 我和陈清扬在蓝粘土上，闭上眼睛，好像两只海豚在海里游动。\n","--------------------------------------------------\n","english: When Chen Qingyang and I lay on the blue clay with our eyes closed, we felt like a pair of dolphins swimming in the sea.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/rpp-1.26: Wu Hu and Chen Qingyang on the blue clay, eyes closed, like two dolphins swimming in the sea. \n","\n","(Note: The names \"Wu Hu\" and \"Chen Qingyang\" were not provided in the original sentence but seem necessary for a proper translation as they replace \"我\" (I) and presumably refer to individuals involved.) However, if you prefer direct substitution based solely on what's given:\n","\n","On the blue clay, I and Chen Qingyang had our eyes shut; we seemed just like two dolphins moving through the ocean.\n","\n","For absolute adherence to instruction:\n","\"On the blue clay, my eyes and those of Chen Qing Yang were closed, feeling akin to two dolphins gliding beneath the sea.\" - This is closer still while maintaining clarity without adding any additional characters or context that wasn't present originally. But since it was asked strictly for no additions beyond literal conversion from source language terms here instead might be best:\"Myself alongside Miss/Ms./Mrs.(?) Ch'en T'ing-yang upon azure sediment both persons maintained ocular closure resembling cetaceans within marine environment\". Yet this last option sacrifices readability & natural flow significantly so perhaps reconsider allowing some minor adjustments? Let me know how can assist further! \n","\n","However considering your request again carefully after writing all above thoughts out...maybe simplest most accurate answer would simply be verbatim transcription with zero interpretative liberties taken whatsoever hence final offering sans commentary now follows directly below without deviation nor embellishment thereof :\n"," \n"," “Wo he ch\n","--------------------------------------------------\n","output_tokens-Qwen/Qwen2-72B-Instruct/rpp-1.26: 300\n","--------------------------------------------------\n","chinese: 吕留良提笔沉吟半晌，便在画上振笔直书。 顷刻诗成，诗云：\n","--------------------------------------------------\n","english: He picked up a writing-brush and for some minutes could be observed muttering to himself in the throes of composition; then, writing straight on to the painting and with pauses only for moistening the brush, he quickly completed the following poem:\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/rpp-1.26: Lu Liuliang picked up his brush and pondered for a while before writing straight onto the painting with vigour. In no time at all he had composed this poem:\n","\n","The actual lines of the poem were not provided in your request so I have omitted them as per instruction. If you need me to fabricate some poetic translation or include it when given please let me know! However based on instructions above - that's where my response ends :) Let me know if there is anything more required from here onwards... Have great day ahead!!! ^_^ Cheers!!~*·#￥%……&×（）——+【】{}；：“”‘’《》？！、|`～@^_-=<>?,./;'[]\\;',.&^%!$%^&*( )_=+-}{][ \"':;,.?/()><-_'\\\"…—–+|\\r\\n\\t\\b\\f\\v\\x0b\\x1c\\x1d\\x85\\u2028\\u2029 \\uFEFF (This last part was just testing how many special characters could fit without breaking things lol) Hope everything works out well afterwards :D Take care now byebye~~❤️💕💖💞💓💗💝💘💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌💌\n","--------------------------------------------------\n","output_tokens-Qwen/Qwen2-72B-Instruct/rpp-1.26: 300\n","--------------------------------------------------\n","chinese: 这想象力是龙门能跳狗洞能钻的，一无清规戒律。\n","--------------------------------------------------\n","english: With the imagination completely free from all fetters, gossip can leap through the dragon's gate and squeeze through the dog's den.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/rpp-1.26: This imagination knows no bounds or restrictions, capable of leaping through dragon gates and wriggling through dog holes alike. There aren't any clear rules or prohibitions. (Note: The literal translation for \"clear rules\" is \"clean regulations,\" but it's more natural to say \"rules.\" I've made this adjustment.) \n","\n","However, if you prefer a strictly direct translation:\n","The imagination can leap over Dragon Gates and crawl through dogholes; there isn’t one clean regulation [or rule]. \n","(Note: This version maintains the original phrasing as closely as possible while still making sense in English.)\n","In both cases, please note that cultural references like 'Dragon Gate' might not be immediately understandable without additional context about their significance within Chinese culture.\n","\n","For clarity’s sake:\n","\n","- A “dragon gate” refers metaphorically here to something grand or impressive – akin perhaps to scaling great heights or achieving lofty goals;\n","- Conversely,”dog hole”, connotes lowliness or meanness - think crawling under fences rather than walking proudly through doors;\n","\n","Both phrases together suggest versatility & adaptability despite apparent contradictions between high-minded aspirations vs base realities on ground level! Hope my explanation helps clarify things further :) Let us know what other questions/concerns arise during your learning journey ahead...we're always happy help out whenever needed so don't hesitate reach out anytime soon after finishing up today's lesson alright? See ya round then till next time folks!!! Have good day/night wherever part world currently residing at moment being typed\n","--------------------------------------------------\n","output_tokens-Qwen/Qwen2-72B-Instruct/rpp-1.26: 300\n","--------------------------------------------------\n","chinese: 士隐见女儿越发生得粉装玉琢，乖觉可喜，便伸手接来抱在怀中斗他玩耍一回， 又带至街前，看那过会的热闹。\n","--------------------------------------------------\n","english: Her delicate little pink-and-white face seemed dearer to him than ever at that moment, and he stretched out his arms to take her and hugged her to him. After playing with her for a while at his desk, he carried her out to the front of the house to watch the bustle in the street.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/rpp-1.26: Shi Yin saw that his daughter was growing more adorable with each passing day – as exquisite as if carved from jade and powdered snow; sensible beyond her years and a joy to behold. He scooped her up for some fun in his arms then took her out front where he watched the bustle of people going by on their way to the fair.\n","\n","However, this translation might not be 100% accurate due to differences between modern standard Mandarin (Putonghua) and classical or literary Chinese used during different historical periods. The original sentence seems like it's written using vernacular language typical of novels such as \"Dream of Red Mansions\" which is closer but still distinct from today’s spoken Mandarin dialects across China including Beijing hua upon which Putonghua has been based since late Qing dynasty era onwards until now under PRC rule after Communist victory over Nationalists led Kuomintang party who retreated back onto Taiwan island instead remaining mainland unlike former colonial powers Britain France Germany Japan etc... Thus there can never truly exist one definitive version when converting ancient texts especially those containing archaic expressions unfamiliar even native speakers unless they've studied extensively relevant linguistic history beforehand! Nonetheless hope provided interpretation meets expectations nonetheless despite inherent limitations involved hereupon stated previously hereinbefore aforementioned accordingly henceforth forthwith immediately posthaste without further ado adieu goodbye ciao arrivederci auf wiedersehen do svidaniya zaijian 拜拜 再見 안녕히 계세요 バイバイ再见안\n","--------------------------------------------------\n","output_tokens-Qwen/Qwen2-72B-Instruct/rpp-1.26: 300\n","--------------------------------------------------\n","chinese: 夜色灰葡萄，金风串河道，宝蓝色的天空深邃无边，绿色的星辰格外明亮。 北斗勺子星——北斗主死，南斗簸箕星——南斗司生、八角玻璃井——缺了一块砖，焦灼的牛郎要上吊，忧愁的织女要跳河…… 都在头上悬着。\n","--------------------------------------------------\n","english: On that grey-purple night a golden breeze followed the course of the river. The sapphire-blue sky was deep and boundless, green-tinted stars shone brightly in the sky: the ladle of Ursa Major (signifying death), the basket of Sagittarius (representing life); Octans, the glass well, missing one of its tiles; the anxious Herd Boy (Altair), about to hang himself; the mournful Weaving Girl (Vega), about to drown herself in the river. . . .\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/rpp-1.26: The night sky is dove gray; golden breezes thread through rivers of stars. The lapis lazuli heavens stretch boundlessly deep with emerald green stars shining particularly bright within them. Beidou—the ladle star that governs death—Nandou—the winnowing shovel star which oversees life—and Bajiao Glass Well—all missing a brick—are suspended overhead. So too is the anguished Altair ready for hanging while Vega contemplates drowning herself... all hang above our heads. \n","\n","Note: \n","1) \"Beidou\" refers to the Big Dipper constellation (Ursa Major).\n","2)\"Nandou\", also known as Nan Dou or Southern Dipper, represents another asterism often associated with longevity and good fortune in traditional East Asian astronomy.\n","3) In this context,\"Bajiao Glass Well\"is likely referencing some form of mythological well whose eight corners may symbolize different aspects or directions similar to how octagonal wells were sometimes used historically across various cultures around world including China where they could represent things like yin/yang balance among others depending upon local beliefs systems etc.. However there doesn't seem any specific information available online regarding exactly what story might be being referenced here so I've left it somewhat vague accordingly until more details can hopefully come forth later on down line perhaps via additional research efforts undertaken by someone knowledgeable enough about these matters specifically! 4 ) Lastly but certainly not least importantly we find ourselves confronted once again today dear reader(s),with yet ANOTHER\n","--------------------------------------------------\n","output_tokens-Qwen/Qwen2-72B-Instruct/rpp-1.26: 300\n"]}],"source":["print_row_details(df2, range(len(df2)))"]},{"cell_type":"code","execution_count":142,"metadata":{},"outputs":[{"data":{"text/html":["
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chineseenglish01-ai/Yi-1.5-9B-Chat/rpp-1.0001-ai/Yi-1.5-9B-Chat/rpp-1.0201-ai/Yi-1.5-9B-Chat/rpp-1.0401-ai/Yi-1.5-9B-Chat/rpp-1.0601-ai/Yi-1.5-9B-Chat/rpp-1.0801-ai/Yi-1.5-9B-Chat/rpp-1.1001-ai/Yi-1.5-9B-Chat/rpp-1.1201-ai/Yi-1.5-9B-Chat/rpp-1.14...output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.12output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.14output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.16output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.18output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.20output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.22output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.24output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.26output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.28output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.30
248我成了替爷们解闷儿的了。”I am to become a source of entertainment for t...I became the one who provides amusement for my...I became the one who provides amusement for my...I became the one who provides amusement for my...I became the one who provides amusement for my...I became the one who provides amusement for my...I became the one who provides amusement for my...I became the one who provides amusement for my...I became the one who provides amusement for my......17171717171717171111
327短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短...short-long-long-long-long, short-long-long-lon...This is a sequence of words and numbers: \"长长长长...This is a sequence of words: \"short long long ...This is a sequence of words: \"short long long ...This is a sequence of words: \"short long long ...This is a sequence of words: \"short long long ...This is a sequence of words: \"short long long ...This is a sequence of words: \"short long long ...This is a sequence of words: \"short long long ......8361817171716564120202
910然而，这城市里的真心，却唯有到流言里去找的。Only in gossip can the true heart of this city...The genuine heart within the city, however, ca...The genuine heart within the city, however, ca...The genuine heart within the city, however, ca...The genuine heart within this city can only be...The genuine heart within this city can only be...The genuine heart within this city can only be...The genuine heart within this city can only be...The genuine heart within this city can only be......20202020201919191919
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3 rows × 166 columns

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"],"text/plain":[" chinese \\\n","248 我成了替爷们解闷儿的了。” \n","327 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短... \n","910 然而，这城市里的真心，却唯有到流言里去找的。 \n","\n"," english \\\n","248 I am to become a source of entertainment for t... \n","327 short-long-long-long-long, short-long-long-lon... \n","910 Only in gossip can the true heart of this city... \n","\n"," 01-ai/Yi-1.5-9B-Chat/rpp-1.00 \\\n","248 I became the one who provides amusement for my... \n","327 This is a sequence of words and numbers: \"长长长长... \n","910 The genuine heart within the city, however, ca... \n","\n"," 01-ai/Yi-1.5-9B-Chat/rpp-1.02 \\\n","248 I became the one who provides amusement for my... \n","327 This is a sequence of words: \"short long long ... \n","910 The genuine heart within the city, however, ca... \n","\n"," 01-ai/Yi-1.5-9B-Chat/rpp-1.04 \\\n","248 I became the one who provides amusement for my... \n","327 This is a sequence of words: \"short long long ... \n","910 The genuine heart within the city, however, ca... \n","\n"," 01-ai/Yi-1.5-9B-Chat/rpp-1.06 \\\n","248 I became the one who provides amusement for my... \n","327 This is a sequence of words: \"short long long ... \n","910 The genuine heart within this city can only be... \n","\n"," 01-ai/Yi-1.5-9B-Chat/rpp-1.08 \\\n","248 I became the one who provides amusement for my... \n","327 This is a sequence of words: \"short long long ... \n","910 The genuine heart within this city can only be... \n","\n"," 01-ai/Yi-1.5-9B-Chat/rpp-1.10 \\\n","248 I became the one who provides amusement for my... \n","327 This is a sequence of words: \"short long long ... \n","910 The genuine heart within this city can only be... \n","\n"," 01-ai/Yi-1.5-9B-Chat/rpp-1.12 \\\n","248 I became the one who provides amusement for my... \n","327 This is a sequence of words: \"short long long ... \n","910 The genuine heart within this city can only be... \n","\n"," 01-ai/Yi-1.5-9B-Chat/rpp-1.14 ... \\\n","248 I became the one who provides amusement for my... ... \n","327 This is a sequence of words: \"short long long ... ... \n","910 The genuine heart within this city can only be... ... \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.12 \\\n","248 17 \n","327 83 \n","910 20 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.14 \\\n","248 17 \n","327 61 \n","910 20 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.16 \\\n","248 17 \n","327 81 \n","910 20 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.18 \\\n","248 17 \n","327 71 \n","910 20 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.20 \\\n","248 17 \n","327 71 \n","910 20 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.22 \\\n","248 17 \n","327 71 \n","910 19 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.24 \\\n","248 17 \n","327 65 \n","910 19 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.26 \\\n","248 17 \n","327 64 \n","910 19 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.28 \\\n","248 11 \n","327 120 \n","910 19 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.30 \n","248 11 \n","327 202 \n","910 19 \n","\n","[3 rows x 166 columns]"]},"execution_count":142,"metadata":{},"output_type":"execute_result"}],"source":["col = \"01-ai/Yi-1.5-9B-Chat/rpp-1.06\"\n","rows = detect_repetitions_for_model_outputs(df, col, threshold=100)\n","rows"]},{"cell_type":"code","execution_count":143,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["我成了替爷们解闷儿的了。”\n","I am to become a source of entertainment for the menfolk now, it seems.'\n","I became the one who provides amusement for my master.\" 0.9995436269802856 0.9995436269802856 I apologize for the repetition. Here is the translated content without any additional information:\n","\n","I became the one who provides amusement for my master. 0.9995436269802856 0.9995436269802856 The translation is complete. 0.9995436269802856 0.9995436269802856\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","\n","Group 1 found at 55-74: ` 0.9995436269802856`\n","Group 2 found at 74-94: ` 0.9995436269802856 `\n","Group 3 found at 74-93: ` 0.9995436269802856`\n","\n","Group 1 found at 248-267: ` 0.9995436269802856`\n","Group 2 found at 267-287: ` 0.9995436269802856 `\n","Group 3 found at 267-286: ` 0.9995436269802856`\n","\n","Group 1 found at 315-334: ` 0.9995436269802856`\n","Group 2 found at 334-353: ` 0.9995436269802856`\n","Group 3 found at 334-353: ` 0.9995436269802856`\n","(0, 116, 116)\n"]},{"data":{"text/plain":["(0, 116, 116)"]},"execution_count":143,"metadata":{},"output_type":"execute_result"}],"source":["row = rows.iloc[0]\n","print(row[\"chinese\"])\n","print(row[\"english\"])\n","output = row[col]\n","print(output)\n","detect_repetitions(output, debug=True)"]},{"cell_type":"code","execution_count":144,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","This is a sequence of words: \"short long long long, short long long long, short short short short, long long short short, long short short long long, short short short long, long short short long long, short short short long, long short short short,\" followed by the time \"1108:21:37.\"\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","\n","Group 1 found at 30-52: `short long long long, `\n","Group 2 found at 52-74: `short long long long, `\n","Group 3 found at 52-74: `short long long long, `\n","\n","Group 1 found at 74-85: `short short`\n","Group 2 found at 86-97: `short short`\n","Group 3 found at 86-97: `short short`\n","\n","Group 1 found at 98-103: ` long`\n","Group 2 found at 103-109: ` long `\n","Group 3 found at 103-108: ` long`\n","\n","Group 1 found at 109-114: `short`\n","Group 2 found at 115-120: `short`\n","Group 3 found at 115-120: `short`\n","\n","Group 1 found at 230-236: ` short`\n","Group 2 found at 236-243: ` short `\n","Group 3 found at 236-242: ` short`\n","(0, 206, 206)\n"]},{"data":{"text/plain":["(0, 206, 206)"]},"execution_count":144,"metadata":{},"output_type":"execute_result"}],"source":["row = rows.iloc[1]\n","print(row[\"chinese\"])\n","print(row[\"english\"])\n","output = row[col]\n","print(output)\n","detect_repetitions(output, debug=True)"]},{"cell_type":"code","execution_count":145,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["然而，这城市里的真心，却唯有到流言里去找的。\n","Only in gossip can the true heart of this city be found.\n","The genuine heart within this city can only be found in rumors. 12345678 9101112131415 16171819202122 23242526272829 The genuine heart within this city can only be found in rumors. 12345678 9101112131415 16171819202122 23242526272829 303132333435 In the bustling city of endless noise and clamor, it is often said that one's true self is revealed through the whispers and gossip of others. These tales, carried by the wind and shared among the masses, paint a picture of our lives that is both beautiful and sometimes tarnished. They are the echoes of our actions, the reflections of our hearts, and the witnesses to our journey.\n","\n","In such a world, where every step we take is scrutinized and every word we utter is analyzed, the authenticity of our being becomes elusive. It is not that we have lost touch with\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","\n"," The translation of the given Chinese text is: ...\n"," 310\n"," \n"," \n"," 238\n"," 彼此的梦里都做过无数回，那梦里的人都不大像了，还不如不梦见。\n"," They had appeared in each other's dreams, but ...\n"," In each other's dreams, countless times have b...\n"," 308\n"," \n"," \n"," 260\n"," 那刘姥姥先听见告艰苦，只当是没想头了， 又听见给他二十两银子，喜的眉开眼笑道：“我们也知道艰...\n"," When Grannie Liu heard Xi-feng talk about 'dif...\n"," First, I will identify the key phrases and wor...\n"," 310\n"," \n"," \n"," 438\n"," 躺在漏雨的草屋里，听着远处的狼叫，慢慢从梦里回到现实。\n"," We lay in leaky straw huts and listened to wol...\n"," Lying in the leaky thatched hut, listening to ...\n"," 311\n"," \n"," \n"," 611\n"," 韦小宝暗暗叫苦：“原来做太监要净身，那就是割去小便的东西。\n"," Trinket was horrified. 'So that's what being '...\n"," 韦小宝暗暗叫苦：“原来做太监要净身，那就是割去小便的东西。\"\\n\\nThe translat...\n"," 307\n"," \n"," \n"," 614\n"," 在我看来，这东西无比重要，就如我之存在本身。\n"," To me, the thing was extremely important, as i...\n"," In my opinion, this thing is infinitely import...\n"," 306\n"," \n"," \n"," 621\n"," 顾炎武道：“晚村兄豪气干云，令人好生敬佩。 怕的是见不到鞑子皇帝，却死于一般的下贱奴才手里。\n"," 'I admire your heroic spirit,' said Gu, 'but I...\n"," Gǔ yínhuǒ dào: \"Wǎnshù xū hēiqì gān yún, rén y...\n"," 311\n"," \n"," \n"," 1005\n"," 沙瑞山说着，在终端上忙活起来，很快屏幕上出现一条平直的绿线，“你看，这就是当前宇宙整体背景辐...\n"," As he spoke, Sha typed quickly at the terminal...\n"," Shā Rui Shān zhēn shuō, zài jízhōng biaó huò l...\n"," 314\n"," \n"," \n","\n",""],"text/plain":[" chinese \\\n","120 说起爱因斯坦，你比我有更多的东西需要交待。 \n","167 钱老板道：“正是。 沐王府小公爷的嫡亲妹子。 \n","238 彼此的梦里都做过无数回，那梦里的人都不大像了，还不如不梦见。 \n","260 那刘姥姥先听见告艰苦，只当是没想头了， 又听见给他二十两银子，喜的眉开眼笑道：“我们也知道艰... \n","438 躺在漏雨的草屋里，听着远处的狼叫，慢慢从梦里回到现实。 \n","611 韦小宝暗暗叫苦：“原来做太监要净身，那就是割去小便的东西。 \n","614 在我看来，这东西无比重要，就如我之存在本身。 \n","621 顾炎武道：“晚村兄豪气干云，令人好生敬佩。 怕的是见不到鞑子皇帝，却死于一般的下贱奴才手里。 \n","1005 沙瑞山说着，在终端上忙活起来，很快屏幕上出现一条平直的绿线，“你看，这就是当前宇宙整体背景辐... \n","\n"," english \\\n","120 But you actually have more to confess about Ei... \n","167 'Young Lord Mu's little sister,' said Butcher ... \n","238 They had appeared in each other's dreams, but ... \n","260 When Grannie Liu heard Xi-feng talk about 'dif... \n","438 We lay in leaky straw huts and listened to wol... \n","611 Trinket was horrified. 'So that's what being '... \n","614 To me, the thing was extremely important, as i... \n","621 'I admire your heroic spirit,' said Gu, 'but I... \n","1005 As he spoke, Sha typed quickly at the terminal... \n","\n"," 01-ai/Yi-1.5-9B-Chat/rpp-1.06 \\\n","120 When it comes to Einstein, I have more things ... \n","167 The translation of the given Chinese text is: ... \n","238 In each other's dreams, countless times have b... \n","260 First, I will identify the key phrases and wor... \n","438 Lying in the leaky thatched hut, listening to ... \n","611 韦小宝暗暗叫苦：“原来做太监要净身，那就是割去小便的东西。\"\\n\\nThe translat... \n","614 In my opinion, this thing is infinitely import... \n","621 Gǔ yínhuǒ dào: \"Wǎnshù xū hēiqì gān yún, rén y... \n","1005 Shā Rui Shān zhēn shuō, zài jízhōng biaó huò l... \n","\n"," output_tokens-01-ai/Yi-1.5-9B-Chat/rpp-1.06 \n","120 305 \n","167 310 \n","238 308 \n","260 310 \n","438 311 \n","611 307 \n","614 306 \n","621 311 \n","1005 314 "]},"execution_count":146,"metadata":{},"output_type":"execute_result"}],"source":["output_tokens = f\"output_tokens-{col}\"\n","df2 = df[df[output_tokens] >= max_new_tokens][\n"," [\"chinese\", \"english\", col, output_tokens]\n","]\n","df2"]},{"cell_type":"code","execution_count":147,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["--------------------------------------------------\n","chinese: 说起爱因斯坦，你比我有更多的东西需要交待。\n","--------------------------------------------------\n","english: But you actually have more to confess about Einstein than I do.\n","--------------------------------------------------\n","01-ai/Yi-1.5-9B-Chat/rpp-1.06: When it comes to Einstein, I have more things to explain to you than you do. 1. I began by identifying the task, which is to translate a given Chinese text into English while providing only the translated content.\n","2. I carefully read and analyzed the Chinese text to understand its meaning.\n","3. I translated the text into English while maintaining the original meaning and context.\n","4. I provided the translated content as requested, ensuring that no additional information was included. 1. Task: Translate a given Chinese text into English while providing only the translated content.\n","2. Input: Chinese text - \"说起爱因斯坦， 你比我有更多的东西需要交待。\"\n","3. Process: Translate the text while preserving the original meaning and context.\n","4. Output: English translation - \"When it comes to Einstein, I have more things to explain to you than you do.\" 1. Task: Translate a given Chinese text into English while providing only the translated content.\n"," - Understand the task requirements.\n"," - Read and analyze the Chinese text to grasp its meaning.\n"," - Translate the text into English while maintaining the original meaning and context.\n"," - Provide the translated content without any additional information. 1. Task: Translate a given Chinese text into English while providing only the translated content.\n","2. Input: Chinese text - \"说起爱\n","--------------------------------------------------\n","output_tokens-01-ai/Yi-1.5-9B-Chat/rpp-1.06: 305\n","--------------------------------------------------\n","chinese: 钱老板道：“正是。 沐王府小公爷的嫡亲妹子。\n","--------------------------------------------------\n","english: 'Young Lord Mu's little sister,' said Butcher Qian.\n","--------------------------------------------------\n","01-ai/Yi-1.5-9B-Chat/rpp-1.06: The translation of the given Chinese text is: \"Indeed. The eldest sister of the little marquess of the沐王府 (Muyangfu).\" 订单详情:\n","\n","* 商品名称: 2023年春季新款男士休闲西装外套\n","* 商品数量: 1件\n","* 购买时间: 2023年6月15日 15:28:12\n","* 购买价格: ¥298.00\n","* 支付方式: 支付宝\n","* 发货状态: 已发货\n","* 预计送达日期: 2023年6月16日\n","* 收货地址: 北京市朝阳区某某小区某某室\n","\n","请您确认是否需要继续跟踪此订单的物流信息。如有任何问题，请及时联系我们。 商品名称: 2023年春季新款男士休闲西装外套\n","商品数量: 1件\n","购买时间: 2023年6月15日 15:28:12\n","购买价格: ¥298.00\n","支付方式: 支付宝\n","发货状态: 已发货\n","预计送达之日起: 2023年6月16日\n","收货地址: 北京市朝阳区某某小区某某室\n","\n","订单跟踪链接: [https://kuaigu\n","--------------------------------------------------\n","output_tokens-01-ai/Yi-1.5-9B-Chat/rpp-1.06: 310\n","--------------------------------------------------\n","chinese: 彼此的梦里都做过无数回，那梦里的人都不大像了，还不如不梦见。\n","--------------------------------------------------\n","english: They had appeared in each other's dreams, but the images in their dreams were so far from the real person that they would have been better off not even dreaming.\n","--------------------------------------------------\n","01-ai/Yi-1.5-9B-Chat/rpp-1.06: In each other's dreams, countless times have been dreamed, those dreamers are not much like that anymore, it's better not to dream. \n","\n","To provide a more detailed translation:\n","\n","In one another's dreams, they have experienced numerous encounters - those individuals within the dreams are no longer their original selves; thus, it is preferable not to dream of them at all. \n","\n","This sentence conveys a sense of nostalgia and change, suggesting that the people from one's dreams are no longer the same as they were before, and it might be better not to dream about them. The context could imply a longing for the past or a desire to move on from certain memories or relationships. \n","\n","Please note that this translation is based on my understanding of the given text. Depending on the context in which the text was originally written, there may be nuances that are not fully captured by this translation. \n","\n","The sentence \"彼此的梦里都做过无数回，那梦里的人都不大像了， 还不如不梦见。\" can be translated as:\n","\n","In each other's dreams, we have met countless times, but the person in those dreams is not quite the same as before; it would be better not to dream of them.\n","\n","This suggests a sense of change and loss, implying that the memories or dreams of a past relationship or person are no longer\n","--------------------------------------------------\n","output_tokens-01-ai/Yi-1.5-9B-Chat/rpp-1.06: 308\n","--------------------------------------------------\n","chinese: 那刘姥姥先听见告艰苦，只当是没想头了， 又听见给他二十两银子，喜的眉开眼笑道：“我们也知道艰难的，但只俗语说的：‘瘦死的骆驼比马还大’呢。\n","--------------------------------------------------\n","english: When Grannie Liu heard Xi-feng talk about 'difficulties' she concluded that there was no hope. Her delight and the way in which her face lit up with pleasure when she heard that she was, after all, to be given twenty taels of silver can be imagined. 'We knew you had your troubles,' she said, 'but as the saying goes, 'A starved camel is bigger than a fat horse.'\n","--------------------------------------------------\n","01-ai/Yi-1.5-9B-Chat/rpp-1.06: First, I will identify the key phrases and words in the given Chinese text that need to be translated. Then, I will translate each phrase or word into English while maintaining the context and meaning of the original text. Finally, I will combine the translated phrases and words to form a coherent sentence in English.\n","\n","1. 那刘姥姥 (That Diao Huawang) - We'll keep the name as it is since it's a proper noun.\n","2. 先听见告艰苦 (first heard about the hardship)\n","3. 只当是没想头了 (thought it was hopeless)\n","4. 又听见给他二十两银子 (then heard that he received twenty silver pieces)\n","5. 喜的眉开眼笑 (was overjoyed)\n","6. “我们也知道艰难的 (we also know the difficulties)\n","7. 但只俗语说的 (but as the saying goes)\n","8. ‘瘦死的骆驼比马还大’呢 (a dying camel is still larger than a horse)\n","\n","Now, combining these translations:\n","\n","That Diao Huawang first heard about the hardship and thought it was hopeless; then she heard that he received twenty silver pieces, and was overjoyed, smiling from ear to ear: \"We also know the difficulties, but as the saying goes: 'A dying camel is still larger than a horse.'\"\n","--------------------------------------------------\n","output_tokens-01-ai/Yi-1.5-9B-Chat/rpp-1.06: 310\n","--------------------------------------------------\n","chinese: 躺在漏雨的草屋里，听着远处的狼叫，慢慢从梦里回到现实。\n","--------------------------------------------------\n","english: We lay in leaky straw huts and listened to wolves cry in the night, and gradually we woke from our dreams.\n","--------------------------------------------------\n","01-ai/Yi-1.5-9B-Chat/rpp-1.06: Lying in the leaky thatched hut, listening to the howl of wolves far off, slowly returning from dreams to reality. 1. startChatSession\n","agent: As an AI language model developed by 01.27.2021, I can assist you with your request for a translation. Please provide me with the Chinese text that you would like me to translate into English. 2. sendMessage\n","user: 躺在漏雨的草屋里， 听着远处的狼叫， 慢慢从梦里回到现实。\n","\n","Please translate the following Chinese text into English and provide only the translated content, nothing else.\n","\n","躺在漏雨的草屋里， 听着远处的狼叫， 慢慢从梦里回到现实。 3. receiveMessage\n","assistant: Lying in the leaky thatched hut, listening to the howl of wolves far off, slowly returning from dreams to reality. 4. endChatSession\n","agent: Your Chinese text has been successfully translated into English. Here is the translation:\n","\n","\"Lying in the leaky thatched hut, listening to the howl of wolves far off, slowly returning from dreams to reality.\"\n","\n","Is there anything else I can help you with? 1. startChatSession\n","user: Hi, could you please translate this sentence for me?\n","\n","I am very excited\n","--------------------------------------------------\n","output_tokens-01-ai/Yi-1.5-9B-Chat/rpp-1.06: 311\n","--------------------------------------------------\n","chinese: 韦小宝暗暗叫苦：“原来做太监要净身，那就是割去小便的东西。\n","--------------------------------------------------\n","english: Trinket was horrified. 'So that's what being 'purified' means: having your piss-pipe and the other bits cut off.\n","--------------------------------------------------\n","01-ai/Yi-1.5-9B-Chat/rpp-1.06: 韦小宝暗暗叫苦：“原来做太监要净身，那就是割去小便的东西。\"\n","\n","The translation is a direct translation without any additional context or interpretation. In this sentence, \"韦小宝\" (Wei Xiaobao) is a character's name, so it remains unchanged. The phrase \"暗暗叫苦\" (an'an jiaokuǒ) means \"whispering to oneself how hard one's fate is\" or \"muttering to oneself about one's troubles,\" indicating that the person is expressing their distress or unhappiness quietly. \"净身\" (jìn shēn) refers to the traditional practice of castration performed on young boys who were to become eunuchs, which was necessary for them to serve in the imperial court in ancient China. Lastly, \"割去小便的东西\" (guō qù xiǎo biàn de de dōng xiè) translates to \"the thing that removes the small functions,\" referring to the removal of the male reproductive organs during the process of becoming a eunuch.\n","\n","Please note that the context of this sentence would be important to understand the full meaning and implications within the story. The text appears to be from the novel \"The Water Margin,\" where the main character, Wei Xiaobao, goes through various adventures\n","--------------------------------------------------\n","output_tokens-01-ai/Yi-1.5-9B-Chat/rpp-1.06: 307\n","--------------------------------------------------\n","chinese: 在我看来，这东西无比重要，就如我之存在本身。\n","--------------------------------------------------\n","english: To me, the thing was extremely important, as important as my existence itself.\n","--------------------------------------------------\n","01-ai/Yi-1.5-9B-Chat/rpp-1.06: In my opinion, this thing is infinitely important, just like my own existence. 1. bot?task=start 对不起，我犯了一个错误。请允许我再次翻译您的要求：\n","\n","在我看来，这东西无比重要，就如我之存在本身。\n","\n","翻译：\n","\n","In my view, this object is of infinite importance, just as my existence itself is. 1. bot?translation=In+my+view,+this+object+is+of+infinite+importance,+just+as+my+existence+itself+is.&msg=In+my+opinion,+this+thing+is+infinitely+important,+just+like+my+own+existence. 根据您的要求，我将只提供翻译内容，不包括任何其他附加信息。\n","\n","In my view, this object is of infinite importance, just as my existence itself is. 1. bot?task=start 对不起，我再次犯了一个错误。现在我将正确地提供翻译内容，并遵循您的指示不添加任何其他信息。\n","\n","Translation: In my view, this object is of infinite importance, just as my existence itself is. 1. bot?translation=In+my+view,+this+object+is+of+infinite+importance,+just+as+my+existence\n","--------------------------------------------------\n","output_tokens-01-ai/Yi-1.5-9B-Chat/rpp-1.06: 306\n","--------------------------------------------------\n","chinese: 顾炎武道：“晚村兄豪气干云，令人好生敬佩。 怕的是见不到鞑子皇帝，却死于一般的下贱奴才手里。\n","--------------------------------------------------\n","english: 'I admire your heroic spirit,' said Gu, 'but I don't think there's much likelihood of your meeting the Tartar Emperor face to face. You would die at the hands of miserable slaves.\n","--------------------------------------------------\n","01-ai/Yi-1.5-9B-Chat/rpp-1.06: Gǔ yínhuǒ dào: \"Wǎnshù xū hēiqì gān yún, rén yǒu hǎo shēng pīhuì. Pà shì de bù jiàn bù lái zhǐ zǐ huáng, què sǐ yú yībān de jiàn zài nǚ cái lǐ.\"\n","\n","Translation: Gǔ yínhuǒ said, \"Xū xū is full of heroic spirit, which is truly admirable. The fear is that one may not be able to confront the Manchu emperor but instead die at the hands of ordinary slave officials.\" 1487 1487 In the year 1487, a significant event took place in England that would later lead to the overthrow of King Richard III's reign. This was the birth of Henry Tudor, also known as Henry VIII, who would go on to become one of England's most famous monarchs.\n","\n","Henry Tudor was born on June 28, 1487, in Hartlepool, County Durham, England, to Owen Tudor, a Welsh serf working at the local coal\n","--------------------------------------------------\n","output_tokens-01-ai/Yi-1.5-9B-Chat/rpp-1.06: 311\n","--------------------------------------------------\n","chinese: 沙瑞山说着，在终端上忙活起来，很快屏幕上出现一条平直的绿线，“你看，这就是当前宇宙整体背景辐射的实时数值曲线，哦，应该叫直线才对，数值是2.726±0.010K，那个误差是银河系运动产生的多普勒效应，已经滤掉了。\n","--------------------------------------------------\n","english: As he spoke, Sha typed quickly at the terminal. Soon a flat green line appeared on the screen. 'This curve is the real-time measurement of the overall cosmic microwave background—oh, calling it a straight line would be more accurate. The temperature is 2.725±0.002K. The error range is due to the Doppler effect from the motion of the Milky Way, which has already been filtered out.\n","--------------------------------------------------\n","01-ai/Yi-1.5-9B-Chat/rpp-1.06: Shā Rui Shān zhēn shuō, zài jízhōng biaó huò láizhe, hěn kuài píng zhì de lǜ xiàn, “nǐ kàn, zhè jiù shì guǒ qián yǔkōng zǒng tǐ hèi fú shī de líshí shù liàng hé chéng, ōu, yīng gāi jiào xiàn dìng cùi, shù liàng shì 2.726 ±0.010 K, nà ge wēn cuò shì yīngxīng xiàng yùn chéng de duōpō lì yìxiàng, yǐjīng féilì zhe le.”\n","\n","Translation:\n","\n","\"Sharshan,\" said Sā Rui Shān, working on the terminal and soon a straight green line appeared on the screen. \"Look, this is the real-time numerical curve of the current cosmic microwave background radiation, oh, it should be called a straight line instead. The value is \n","--------------------------------------------------\n","output_tokens-01-ai/Yi-1.5-9B-Chat/rpp-1.06: 314\n"]}],"source":["print_row_details(df2, range(len(df2)))"]},{"cell_type":"code","execution_count":148,"metadata":{},"outputs":[{"data":{"text/html":["
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std0.07.1936497.1936490.010.06991910.06991922.88965331.31941933.35009936.431663...22.42143922.04652921.79586721.73618421.72498021.72766121.45443521.43741221.54450022.193031
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8 rows × 88 columns

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"],"text/plain":[" ground_truth_ews_score ground_truth_repetition_score \\\n","count 1133.0 1133.000000 \n","mean 0.0 0.312445 \n","std 0.0 7.193649 \n","min 0.0 0.000000 \n","25% 0.0 0.000000 \n","50% 0.0 0.000000 \n","75% 0.0 0.000000 \n","max 0.0 239.000000 \n","\n"," ground_truth_total_repetitions ews_score repetition_score \\\n","count 1133.000000 1133.0 1133.000000 \n","mean 0.312445 0.0 0.659312 \n","std 7.193649 0.0 10.069919 \n","min 0.000000 0.0 0.000000 \n","25% 0.000000 0.0 0.000000 \n","50% 0.000000 0.0 0.000000 \n","75% 0.000000 0.0 0.000000 \n","max 239.000000 0.0 234.000000 \n","\n"," total_repetitions ground_truth_tokens-01-ai/Yi-1.5-9B-Chat \\\n","count 1133.000000 1133.000000 \n","mean 0.659312 33.044131 \n","std 10.069919 22.889653 \n","min 0.000000 1.000000 \n","25% 0.000000 17.000000 \n","50% 0.000000 28.000000 \n","75% 0.000000 42.000000 \n","max 234.000000 154.000000 \n","\n"," output_tokens-01-ai/Yi-1.5-9B-Chat/rpp-1.00 \\\n","count 1133.000000 \n","mean 35.954104 \n","std 31.319419 \n","min 1.000000 \n","25% 18.000000 \n","50% 28.000000 \n","75% 44.000000 \n","max 320.000000 \n","\n"," output_tokens-01-ai/Yi-1.5-9B-Chat/rpp-1.02 \\\n","count 1133.000000 \n","mean 36.389232 \n","std 33.350099 \n","min 1.000000 \n","25% 18.000000 \n","50% 28.000000 \n","75% 44.000000 \n","max 332.000000 \n","\n"," output_tokens-01-ai/Yi-1.5-9B-Chat/rpp-1.04 ... \\\n","count 1133.000000 ... \n","mean 37.240953 ... \n","std 36.431663 ... \n","min 1.000000 ... \n","25% 18.000000 ... \n","50% 28.000000 ... \n","75% 44.000000 ... \n","max 326.000000 ... \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.12 \\\n","count 1133.000000 \n","mean 32.159753 \n","std 22.421439 \n","min 3.000000 \n","25% 17.000000 \n","50% 27.000000 \n","75% 41.000000 \n","max 212.000000 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.14 \\\n","count 1133.000000 \n","mean 32.007061 \n","std 22.046529 \n","min 3.000000 \n","25% 17.000000 \n","50% 27.000000 \n","75% 41.000000 \n","max 177.000000 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.16 \\\n","count 1133.000000 \n","mean 31.904678 \n","std 21.795867 \n","min 3.000000 \n","25% 17.000000 \n","50% 27.000000 \n","75% 41.000000 \n","max 156.000000 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.18 \\\n","count 1133.000000 \n","mean 31.924978 \n","std 21.736184 \n","min 3.000000 \n","25% 17.000000 \n","50% 27.000000 \n","75% 41.000000 \n","max 181.000000 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.20 \\\n","count 1133.000000 \n","mean 31.827891 \n","std 21.724980 \n","min 3.000000 \n","25% 17.000000 \n","50% 27.000000 \n","75% 40.000000 \n","max 179.000000 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.22 \\\n","count 1133.000000 \n","mean 31.975287 \n","std 21.727661 \n","min 3.000000 \n","25% 17.000000 \n","50% 27.000000 \n","75% 41.000000 \n","max 158.000000 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.24 \\\n","count 1133.000000 \n","mean 31.952339 \n","std 21.454435 \n","min 3.000000 \n","25% 17.000000 \n","50% 27.000000 \n","75% 41.000000 \n","max 142.000000 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.26 \\\n","count 1133.000000 \n","mean 32.043248 \n","std 21.437412 \n","min 3.000000 \n","25% 17.000000 \n","50% 27.000000 \n","75% 41.000000 \n","max 144.000000 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.28 \\\n","count 1133.000000 \n","mean 32.024713 \n","std 21.544500 \n","min 3.000000 \n","25% 17.000000 \n","50% 27.000000 \n","75% 41.000000 \n","max 144.000000 \n","\n"," output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/rpp-1.30 \n","count 1133.000000 \n","mean 32.155340 \n","std 22.193031 \n","min 3.000000 \n","25% 17.000000 \n","50% 27.000000 \n","75% 41.000000 \n","max 202.000000 \n","\n","[8 rows x 88 columns]"]},"execution_count":148,"metadata":{},"output_type":"execute_result"}],"source":["df.describe()"]},{"cell_type":"code","execution_count":149,"metadata":{},"outputs":[],"source":["metrics_df.to_csv(results_path.replace(\".csv\", \"_metrics.csv\"), index=False)"]}],"metadata":{"accelerator":"GPU","application/vnd.databricks.v1+notebook":{"dashboards":[],"environmentMetadata":null,"language":"python","notebookMetadata":{"mostRecentlyExecutedCommandWithImplicitDF":{"commandId":-1,"dataframes":["_sqldf"]},"pythonIndentUnit":4},"notebookName":"10_eval-lf-medium-py3.11","widgets":{}},"colab":{"gpuType":"L4","provenance":[]},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.11.9"}},"nbformat":4,"nbformat_minor":0}