{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Evals" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Min Train Loss: 2.921425\n", "Min Validation Loss: 3.0728\n", "Max Hellaswag eval: 0.3068\n" ] }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# parse and visualize the logfile\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline\n", "\n", "sz = \"124M\"\n", "\n", "loss_baseline = {\n", " \"124M\": 3.2924,\n", "}[sz]\n", "hella2_baseline = { # HellaSwag for GPT-2\n", " \"124M\": 0.294463,\n", " \"350M\": 0.375224,\n", " \"774M\": 0.431986,\n", " \"1558M\": 0.488946,\n", "}[sz]\n", "hella3_baseline = { # HellaSwag for GPT-3\n", " \"124M\": 0.337,\n", " \"350M\": 0.436,\n", " \"774M\": 0.510,\n", " \"1558M\": 0.547,\n", "}[sz]\n", "\n", "# load the log file\n", "with open(\"log/log.txt\", \"r\") as f:\n", " lines = f.readlines()\n", "\n", "# parse the individual lines, group by stream (train,val,hella)\n", "streams = {}\n", "for line in lines:\n", " step, stream, val = line.strip().split()\n", " if stream not in streams:\n", " streams[stream] = {}\n", " streams[stream][int(step)] = float(val)\n", "\n", "# convert each stream from {step: val} to (steps[], vals[])\n", "# so it's easier for plotting\n", "streams_xy = {}\n", "for k, v in streams.items():\n", " # get all (step, val) items, sort them\n", " xy = sorted(list(v.items()))\n", " # unpack the list of tuples to tuple of lists\n", " streams_xy[k] = list(zip(*xy))\n", "\n", "# create figure\n", "plt.figure(figsize=(16, 6))\n", "\n", "# Panel 1: losses: both train and val\n", "plt.subplot(121)\n", "xs, ys = streams_xy[\"train\"] # training loss\n", "ys = np.array(ys)\n", "plt.plot(xs, ys, label=f'nanogpt ({sz}) train loss')\n", "print(\"Min Train Loss:\", min(ys))\n", "xs, ys = streams_xy[\"val\"] # validation loss\n", "plt.plot(xs, ys, label=f'nanogpt ({sz}) val loss')\n", "# horizontal line at GPT-2 baseline\n", "if loss_baseline is not None:\n", " plt.axhline(y=loss_baseline, color='r', linestyle='--', label=f\"OpenAI GPT-2 ({sz}) checkpoint val loss\")\n", "plt.xlabel(\"steps\")\n", "plt.ylabel(\"loss\")\n", "plt.yscale('log')\n", "plt.ylim(top=4.0)\n", "plt.legend()\n", "plt.title(\"Loss\")\n", "print(\"Min Validation Loss:\", min(ys))\n", "\n", "# Panel 2: HellaSwag eval\n", "plt.subplot(122)\n", "xs, ys = streams_xy[\"hella\"] # HellaSwag eval\n", "ys = np.array(ys)\n", "plt.plot(xs, ys, label=f\"nanogpt ({sz})\")\n", "# horizontal line at GPT-2 baseline\n", "if hella2_baseline:\n", " plt.axhline(y=hella2_baseline, color='r', linestyle='--', label=f\"OpenAI GPT-2 ({sz}) checkpoint\")\n", "if hella3_baseline:\n", " plt.axhline(y=hella3_baseline, color='g', linestyle='--', label=f\"OpenAI GPT-3 ({sz}) checkpoint\")\n", "plt.xlabel(\"steps\")\n", "plt.ylabel(\"accuracy\")\n", "plt.legend()\n", "plt.title(\"HellaSwag eval\")\n", "print(\"Max Hellaswag eval:\", max(ys))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Training & SFT curves (loss + HellaSwag)\n", "\n", "These cells parse your existing outputs:\n", "- `log/log.txt` from `train-model.py` (train/val loss + `hella` accuracy)\n", "- `hf_sft_lora/**/trainer_state.json` from `sft_lora_ultrachat.py` (SFT loss)\n", "\n", "Adjust the paths in the config cell if needed.\n" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [], "source": [ "import os, json, re, glob\n", "from pathlib import Path\n", "\n", "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "\n", "# ---- CONFIG (edit if your folders differ)\n", "PROJECT_ROOT = Path.cwd() # run notebook from repo root\n", "PRETRAIN_LOG = PROJECT_ROOT / \"log\" / \"log.txt\"\n", "SFT_OUT_DIR = PROJECT_ROOT / \"hf_sft_lora\"\n", "HF_PRETRAIN_DIR = PROJECT_ROOT / \"hf_pretrained\"\n", "HF_SFT_MERGED_DIR = PROJECT_ROOT / \"hf_sft_merged\"\n" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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steptagvalue
00hella0.2482
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" ], "text/plain": [ " step tag value\n", "0 0 hella 0.2482\n", "1 250 hella 0.2450\n", "2 500 hella 0.2392\n", "3 750 hella 0.2463\n", "4 1000 hella 0.2558" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "def load_train_model_log(log_path: Path) -> pd.DataFrame:\n", " \"\"\"Parses log/log.txt lines written by train-model.py:\n", " train \n", " val \n", " hella \n", " \"\"\"\n", " if not log_path.exists():\n", " raise FileNotFoundError(f\"Missing {log_path}. Are you in the right folder?\")\n", "\n", " rows = []\n", " with log_path.open(\"r\") as f:\n", " for line in f:\n", " line = line.strip()\n", " if not line:\n", " continue\n", " parts = line.split()\n", " if len(parts) != 3:\n", " continue\n", " step_s, tag, value_s = parts\n", " if tag not in {\"train\", \"val\", \"hella\"}:\n", " continue\n", " try:\n", " step = int(step_s)\n", " value = float(value_s)\n", " except ValueError:\n", " continue\n", " rows.append({\"step\": step, \"tag\": tag, \"value\": value})\n", "\n", " df = pd.DataFrame(rows).sort_values([\"tag\", \"step\"]).reset_index(drop=True)\n", " return df\n", "\n", "log_df = load_train_model_log(PRETRAIN_LOG)\n", "log_df.head()\n" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "data": { "image/png": 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frhUrVkx9T/r06aMdOHBAve4bb7yh1vnoo4+08PBw9Zk5c+7mr7+v+ndPPhP5TqfXbV+O66GHHlLfa9m+DC+wdu1a9doyZIbz++O8jS+++EKrWrWqZrFYjO+wHLPc37hxo8O68p2Rz/qpp54ylsn/h/bt26v/e/J8+/8Xo0ePVt8l5/eLKK+Y5J/8CcWIiLImAylKxmT16tXu3hWPIRlNyfTJVCwy6rtk66R5TAaUzGsyurlkDKUo3H4C4fwkTbOS+ZLMYGaDjRK5EmuQiMijSDGvjKhdUEdMTm8uOWkKk2ZBGUNIyMjYzz33XJ6/ttRNSfOoNJPJKNbuIk150tytj7pNlB+YQSIi8iBSnyP1NlKzJON16UMl6LVEeUnqxyRIkmEoJGsjU8jI9Divv/46xowZk6evTeRpGCAREXkQGfxRgiQZ5FQGKJXhD2ReNinwloApL8kEsjIMhRRpx8fHqw4IMrijzOFGVNAwQCIiIiJywhokIiIiIicMkIiIiIgK2kCRMhKsDPEvg6FxgkMiIiLvoGmaGoxWBg3N78FdC0SAJMGR84zcRERE5B1OnTqlRuXPbz4fIOnD6MsbnJupC4iIiCj/yJRDkuDQz+P5zecDJL1ZTYIjBkhERETexeSm8hgWaRMRERE5YYBERERE5IQBEhEREVFBq0EiIqL8JZPcJiUluXs3yMP5+/vDYrHAUzFAIiIil41bc+7cOVy7ds3du0JeokiRIihTpoxHjlPIAImIiFxCD45KlSqFkJAQjzzpkecE07Gxsbhw4YK6X7ZsWXgaBkhEROSSZjU9OCpevLi7d4e8QHBwsLqWIEm+N57W3MYibSIiyjW95kgyR0TZpX9fPLFmza0B0j///IO7775bzbMiqdhFixY5PP7TTz+ha9eu6q8ReXzHjh1u21ciIsoam9XIV74vbg2Qbty4gUaNGuHjjz/O8PG2bdti2rRp+b5vREREVHC5tQapR48e6pKRRx55RF0fP348H/eKiIjIM7MtCxcuRJ8+feAJjh8/jipVqmD79u1o3LgxfI3P1SAlJCSoCe7sL0RERPmtcuXKeO+991y2vcjIyEyTCtmRXjlLTkVERKh9ql+/PnyRzwVIU6dORXh4uHGRDzAvXI9PwukrN3AlJj5Ptk9ERJ4pMTHRpb3/rFZrttaV8YICAwPhKcdnsVjUPvn5+WaHeJ8LkMaMGYOoqCjjcurUqTx5nT3fj0fZ98vj4IwhebJ9IiLKex07dsQzzzyjLvJHdYkSJfDqq6+qcXrsM0GTJ0/GwIEDERYWhqFDh6rla9asQbt27VR3dflj/Nlnn1W1s/p2T5w4geeee05lbfRi5FmzZqnBERcvXoy6deuqgOfkyZPYvHkz7rzzTvX6sh8dOnTAtm3bMsz+SPOW3JfOTJ06dVK9waSmd/369RkeqxyH6Nu3r3qufn/ChAmqiezLL79UTWZBQUFq+ZIlS1QdsOyvdJa66667cOTIEWN7+j7oHahWrlyp7i9fvhzNmjVT+9S6dWscOHAA3sjnAiT5sskX2P6SFzSTBRaTBj/N87omEhF5xECAicluudgHN9kxe/ZslQXZtGkT3n//fbzzzjsqWLD39ttvqwBE6m0kgJJAoXv37rjvvvuwa9cufP/99ypgkkBLSOBSoUIFTJo0STVDyUUnAyRK5yN5jb1796oxgK5fv45BgwapbWzYsAE1atRAz5491fLMjB07Fi+88IIKUmrWrIn+/fsjOTk53XUlCBMzZ85U+6PfF4cPH8aPP/6o9lsPeG7cuIFRo0Zhy5YtKugxm80quMoq4yX79L///U89T97Xxx57DN7IN/Ni+cBqsaU5LVbXpVqJiHxFXFIK6o5b6pbX3jepG0ICsn96k+zPu+++q7IftWrVwu7du9X9J554wljnjjvuwPPPP2/cHzJkCAYMGICRI0eq+xLQfPDBByrzM336dBQrVkw1QYWGhqpmKHsy5s8nn3yiAi777dv7/PPPVeZm1apVKnOTEQmOevXqpW5PnDgR9erVU8FO7dq106xbsmRJh+k9nJvVvv76a2MdIcGfva+++ko9vm/fvkzrjqZMmaLeB/Hyyy+r/YuPjzcyU97CrRmkmJgYFanq0eqxY8fUbUk3iitXrqj78mEISdPJfRnO3t2sJn917acxQCIi8mYtW7Z0GI+nVatWOHTokKoP0kmTkb2dO3eq5rLChQsbl27duqnsipzLMhMQEICGDRs6LDt//rwKyCTQkiY2af2Qc6R+PsyI/Xb06Tr06TtuRaVKlRyCIyHvgWSkqlatqvZHb5LLr30q0BkkSb9J26lOUnlC0ozyxZM22sGDBxuPP/jgg+p6/Pjxqs3UnVJSM0h+zCAREaUR7G9RmRx3vbarFSpUyOG+BC/Dhg1TdUfOKlasmPn+BQenGSBRznuXL19WTXwSrEi5iARqWRVM+/vb/lgX+jazW/Sd2fEJGchZ9uWLL75QAzrLdiVzlF/7VKADJCliy6yt+NFHH1UXT2Q1B6hr1iAREaUlJ8ZbaeZyp40bNzrc12uAMpsbrGnTpqp1o3r16plmiuyzUJlZu3atanaTuiMhHYwuXboEV5PgJTv7dPnyZdVqI8GRFKILqY8qSHyuSDu/a5DYxEZE5N2kyUhaMCQgmDt3Lj788EOMGDEi0+eMHj0a69atU0XZUvohzVE///yzUaQtpElKptQ6c+ZMlsGOBGTffPMN9u/frwI2qW/SJ3N1JdknKbiWUpWrV69muF7RokVVzzWphZKapr///tto5SkoGCDlNoNkZQaJiMibSff9uLg4NG/eHMOHD1fBkd6VP7M6GymgPnjwoMqwNGnSBOPGjVNNUTrpwSZd4atVq5amvsfZjBkzVMAimSmZRUKa7qR3m6tJ77Jly5apwnTZ54yYzWbMmzcPW7duVc1qMlzBW2+9hYLEpN1qf0gvIyNpS8GbjInkyi7/vy+ej57bnkBkQGWUfWWny7ZLROSNpJeSFCfbj6PjDaTUQ8YAcuWI1+Sa701enb+zixmkHNIs7MVGRETkqxgg5ZDVYot0GSARERH5Hu/oYuCBrBb2YiMi8nYyPQZRephBymWRtj/HQSIiIvI5DJBy2c3fn01sREREPocBUg5pqU1sFqQA1uwNBEZERETegQFSDlnNdt0RkxPcuStERETkYgyQctnNX0lhgERERORLGCDllNkPKVrqZIPMIBEREfkUBkg5ZDKZkYjULBIDJCIiyocJgBctWuTWfTh+/LjaD5l/ztcxQMohkwlIYIBERESZTAzryilMIiMj0aNHD5dtjzLHACmHzCbTzQwSa5CIiAqMxETXDe+SkpICq9WarXXLlCmDwEDbEDOU9xgg5SaDpDGDRETkzWSy2meeeUZdZGLUEiVK4NVXX4X9PO6SCZo8eTIGDhyoJk0dOnSoWr5mzRq0a9cOwcHBiIiIwLPPPosbN24Y2z1x4gSee+451SQlFzFr1iwUKVIEixcvRt26dVXAc/LkSWzevBl33nmnen3Zjw4dOmDbtm0ZNrHpTV0//fQTOnXqhJCQEDRq1Ajr16/P8Fgfeugh/Oc//3FYlpSUpF7z66+/VveXLFmCtm3bqn0sXrw47rrrLhw5cgQFEQOkXGWQUmdqYYBERORIAozEG+652AU32TF79mz4+flh06ZNeP/99/HOO+/gyy+/dFjn7bffVgHI9u3bVQAlQUP37t1x3333YdeuXfj+++9VwCSBlpDApUKFCpg0aZJqGpOLLjY2FtOmTVOvsXfvXpQqVQrXr1/HoEGD1DY2bNiAGjVqoGfPnmp5ZsaOHYsXXnhB1QTVrFkT/fv3R3JycrrrDhgwAL/88gtiYmKMZUuXLlX707dvX3VfArxRo0Zhy5YtWL58Ocxms3osu1kuX8K52HJVg2QbLBLJ8e7eHSIiz5IUC7xezj2v/cpZIKBQtleX7M+7776rMjK1atXC7t271f0nnnjCWOeOO+7A888/b9wfMmSICjhGjhyp7ktA88EHH6jMz/Tp01GsWDFYLBaEhoaqpjHnrM0nn3yiAi777dv7/PPPVRZn1apVKouTEQmOevXqpW5PnDgR9erVw+HDh1G7du0063br1g2FChXCwoUL8cgjj6hl3333He655x61n0ICPntfffUVSpYsiX379qF+/fooSJhBckUGKYXTjRAReauWLVsaTWCiVatWOHTokKoP0jVr1szhOTt37lTNZYULFzYuEoBIpuXYsWOZvl5AQAAaNmzosOz8+fMqIJNAS5rYpClPMj3S/JYZ++2ULVtWXV+4cCHddSVL1q9fP8yZM8fIFv38888q0NPJcUsWqmrVqmofpHlRZLUfvogZJJf0YmMGiYjIgX+ILZPjrtd2Mcm82JPgZdiwYaruyFnFihUz3ZbULNkHZEKa1y5fvqya+CpVqqRqkyRQy6og3N//5qDF+jYzaw6TYEiyXBJELVu2TO2LNBXq7r77bvX6X3zxBcqVK6e2JZkjVxamewsGSLnIIN0s0i54XxwiokzJyfoWmrncaePGjQ739RogaSLLSNOmTVWzU/Xq1TPNFNlnoTKzdu1a1ewmdUfi1KlTuHTpElytdevWqklRaqb++OMPPPDAA0aQJQHagQMHVHDUrl07tUxqogoqNrHlkJkZJCIinyDNR1KYLMHB3Llz8eGHH2LEiBGZPmf06NFYt26dKsqWAmlpmpLmKr1IW0jz1D///IMzZ85kGexIQPbNN99g//79KmCTTI9kd/KC9Gb79NNPVQbJvnmtaNGiquea1D8dPnwYf//9t3pfCioGSDkkqUz2YiMi8n7SfT8uLg7NmzfH8OHDVXCkd+XPrPZHCqgPHjyosi1NmjTBuHHjVLOUTnqwSXf8atWqqULnzMyYMQNXr15VmSkpoJamO+ndlhckKJLsV/ny5dGmTRtjufRYmzdvHrZu3aqa1WSIgrfeegsFlUmzH+zBB0VHR6uCt6ioKFVw5ip/7j2HmHmP417LGqDra0Dr/3PZtomIvE18fLwqTq5SpQqCgoLgLWS8osaNG7t0xGtyzfcmr87f2cUMkktqkNjERkRE5EsYIOWQ2Qy7JjYWaRMREfkS9mLLRQ0SB4okIvJuK1eudPcukIdiBimHZLQJDhRJRETkmxgg5RBrkIiI0vLxfj9UgL4vDJByNdUIB4okIhL6YIMy8SlRdunfF/sRwT0Fa5ByiANFEhHdJKNOy+Sq+jxgISEhaabTILLPHElwJN8X+d5kNmp5gQyQZIRRGYRKBqWKjIxUMwz36dPH4Q0cP368Gvb82rVrakArmSVZRhx1O5PUIKUGSKxBIiIyZq3PaLJUImcSHOnfG0/j1gBJZhJu1KgRHnvsMdx7771pHn/zzTfxwQcfYPbs2WoQqVdffVXNliwjgLp7IDLWIBEROZKMkcwoLyNAJyUluXt3yMP5+/t7ZObIIwKkHj16qEt6JHskI5v+97//Re/evdWyr7/+GqVLl8aiRYvw4IMPwv01SJxqhIjImZz0PPnER+TVRdoy9Pi5c+fQpUsXY5kMOd6iRQusX78+w+clJCSo4cntL3lfg8QAiYiIyJd4bIAkwZGQjJE9ua8/lp6pU6eqQEq/RERE5Mn+mRxqkBggERER+RKPDZByasyYMWpiO/1y6tSpPBxJmxkkIiIiX+SxAZJe1X7+/HmH5XI/s4r3wMBANeuv/SXvi7QZIBEREfkSjw2QpNeaBELLly83lkk90caNG9GqVSu4G2uQiIiIfJdbe7HFxMTg8OHDDoXZO3bsQLFixVCxYkWMHDkSr732mhr3SO/mX65cOYexktzFBPuRtNnNn4iIyJe4NUDasmULOnXqZNwfNWqUuh40aBBmzZqFl156SY2VNHToUDVQZNu2bbFkyRK3j4GkF2kbGSQOFElERORT3BogdezYMdOJ6qQQetKkSeriaThQJBERke/y2BokT2c2Szf/1PjSmgxYU9y9S0REROQiDJByUYOUgICbC1ioTURE5DMYIOWiF5uRQRIcLJKIiMhnMEDKIamPSoYFKTDZFjCDRERE5DMYIOUigwSHrv4MkIiIiHwFA6RcZJBEIkfTJiIi8jkMkHLIz5ZC4oS1REREPogBUg75WWwBUjyb2IiIiHwOA6Qc8rfY3rpELbUnGwMkIiIin8EAKYf8ZaRI4OZYSBxNm4iIyGcwQMohfz+9Bik1g8T52IiIiHwGA6Qc8jMySJyPjYiIyNcwQMoh/9Qi7ZsT1jKDRERE5CsYIOViHCTp6s8MEhERke9hgJTLrv5GDRJ7sREREfkMBki57Opv9GLjQJFEREQ+gwFSbgMkowaJTWxERES+ggFSLgu1bzaxsUibiIjIVzBAymVXfw4USURE5HsYIOVCgJ+ZA0USERH5IAZIuaC6+bMGiYiIyOcwQMplkXaiMQ4SM0hERES+ggFSLou0OVAkERGR72GA5KoMEmuQiIiIfAYDpFyOpM0aJCIiIt/DACnXGSRONUJERORrGCDleqoRPYPEAImIiMhXMEDKBYvZZFeDxACJiIjIVzBAyu04SMwgERER+RwGSLnMILFIm4iIyPd4fIB0/fp1jBw5EpUqVUJwcDBat26NzZs3u3u30skgsZs/ERGRr/D4AGnIkCFYtmwZvvnmG+zevRtdu3ZFly5dcObMGXfvGixm+5G0mUEiIiLyFR4dIMXFxeHHH3/Em2++ifbt26N69eqYMGGCup4+fbpnZZA4UCQREZHP8OgAKTk5GSkpKQgKCnJYLk1ta9asgbtZLCYkavo4SMwgERER+QqPDpBCQ0PRqlUrTJ48GWfPnlXB0rfffov169cjMjIy3eckJCQgOjra4ZIvGSRrMmBNybPXIiIiovzj0QGSkNojTdNQvnx5BAYG4oMPPkD//v1hNqe/61OnTkV4eLhxiYiIyNtebAi4uYBd/YmIiHyCxwdI1apVw6pVqxATE4NTp05h06ZNSEpKQtWqVdNdf8yYMYiKijIu8py8zCAZU40IDhZJRETkE+zO7p6tUKFC6nL16lUsXbpUFW6nR7JMcsmvXmzJsMAKM8ywMoNERETkIzw+QJJgSJrYatWqhcOHD+PFF19E7dq1MXjwYHfvmsogASakmPxh1hIYIBEREfkIj29ik2ay4cOHq6Bo4MCBaNu2rQqa/P1Ti6PdSGqQRJI5tQ6JARIREZFP8PgMUr9+/dTFE9kySECyKTVAYg0SERGRT/D4DJInk3GQRLKJE9YSERH5EgZILsggJekZJAZIREREPoEBUi57sYkkI4PE0bSJiIh8AQMkl9QgcT42IiIiX8IAyQW92BL10bSZQSIiIvIJDJBcUYOkz8fGGiQiIiKfwADJFRkk9mIjIiLyKQyQcsEvtZs/M0hERES+hQGSC3qxJeg1SBwokoiIyCcwQHJBDVKiPiA5i7SJiIh8AgMkl/ZiYzd/IiIiX8AAyQUZpHijBokZJCIiIl/AAMklGaTUJjYOFElEROQTGCDlgp9epK0xg0RERORLGCC5IIOUoOlF2swgERER+QIGSC4IkM7EaLYFzCARERH5BAZIuXD0Yoy6TtSLtFmDRERE5BMYIOVCo4gi6po1SERERL6FAVIu+Ftsb59fYJBtAacaISIi8gkMkFwwDlKcVS/SZoBERETkCxgguaBIO85qsS3gXGxEREQ+gQGSC5rY4owaJAZIREREvoABkgsySLEpnKyWiIjIlzBAygV/S+pAkcZcbOzmT0RE5AsYILlkLjZ28yciIvIlDJBcMRcbB4okIiLyKQyQcsEvtYkt0ZiLjRkkIiIiX8AAKRcsJqcaJGsyYE1x704RERFRrjFAygWz2QQpQzJqkAS7+hMREXk9Bki55Gcx38wgCQ4WSURE5PUYILlgupFkWKCZUt9KZpCIiIi8nkcHSCkpKXj11VdRpUoVBAcHo1q1apg8eTI0TYNnzcdmgmYJsC1ggEREROT1UrtfeaZp06Zh+vTpmD17NurVq4ctW7Zg8ODBCA8Px7PPPgtPaWITmiXQ1ouNARIREZHX8+gAad26dejduzd69eql7leuXBlz587Fpk2b4GmDRVrNgVBT1rIGiYiIyOt5dBNb69atsXz5chw8eFDd37lzJ9asWYMePXrAU/inBkgqgySYQSIiIvJ6Hp1BevnllxEdHY3atWvDYrGomqQpU6ZgwIABGT4nISFBXXTy/LxkSR0s0mrRpxthgEREROTtPDqDNH/+fMyZMwffffcdtm3bpmqR3n77bXWdkalTp6oaJf0SERGRL9ONSBObwtG0iYiIvJ5HB0gvvviiyiI9+OCDaNCgAR555BE899xzKgjKyJgxYxAVFWVcTp06lQ+92IAUc2ovNs7HRkRE5PU8uoktNjYW5tQMjU6a2qxWa4bPCQwMVJd8L9I2uvkzg0REROTtPDpAuvvuu1XNUcWKFVU3/+3bt+Odd97BY489Bk/hn9rN38ggsQaJiIjI63l0gPThhx+qgSKffvppXLhwAeXKlcOwYcMwbtw4eAo9g5Ri1CAxQCIiIvJ2Hh0ghYaG4r333lMXT2XUIJnYi42IiMhXeHSRtjfwS+3mn2wUaTNAIiIi8nYMkFzUzT/ZxCJtIiIiX8EAydUZpGR28yciIvJ2DJBcXoPEDBIREZG3Y4Dkol5siXoTGweKJCIi8noMkHLJL3UcJNYgERER+Q4GSC5qYksymtiYQSIiIvJ2DJBc1MSWxAwSERGRz2CAlEv+qd38k5CaQWINEhERkddjgJRLltRu/olgBomIiMhXMEDKJX+jiS111hZONUJEROT1GCDlkiW1iS3ByCAxQCIiIvJ2DJBcNJJ2oj7vL5vYiIiIvB4DJBd18zdqkFikTURE5PUYILkoQErQmEEiIiLyFQyQXFaDxIEiiYiIfAUDJFfVIGmcrJaIiMhXMEByURNbnF6kzRokIiIir8cAyUWT1bIGiYiIyHcwQHJRBileS+3FZk0GrCnu3SkiIiLKFQZILpqs9op94oiDRRIREXk1Bki5dPD8dXW98mj0zYUpDJCIiIi8GQOkXFpx4IK6ToYFMKW+ncwgEREReTUGSLnklzoOEmACLIG2mwyQiIiIvBoDJBfVICl+DJCIiIh8AQOkXLq9ctG0ARJrkIiIiApegHTq1CmcPn3auL9p0yaMHDkSn3/+OQqaR1pWvnmHGSQiIqKCGyA99NBDWLFihbp97tw53HnnnSpIGjt2LCZNmoSCJMjf9haGBfmxBomIiKggB0h79uxB8+bN1e358+ejfv36WLduHebMmYNZs2ahIBZpJ1s1wC/ItpCjaRMRERW8ACkpKQmBgbZsyV9//YV77rlH3a5duzYiIyNRECerjU1MgeaXOpo2M0hEREQFL0CqV68ePv30U6xevRrLli1D9+7d1fKzZ8+iePHiKIhTjYhYqz5hLQMkIiKiAhcgTZs2DZ999hk6duyI/v37o1GjRmr54sWLjaY3V6lcuTJMJlOay/Dhw+Fp3fwvxGq2G8wgERERebXUlMetkcDo0qVLiI6ORtGiN7u5Dx06FCEhIa7cP2zevBkpKSkO9U9SFP7AAw/AE5hNNwOkBM3fdoMBEhERUcELkOLi4qBpmhEcnThxAgsXLkSdOnXQrVs3l+5gyZIlHe6/8cYbqFatGjp06ABPYBcfIV5LfTsZIBERERW8JrbevXvj66+/VrevXbuGFi1a4H//+x/69OmD6dOnI68kJibi22+/xWOPPaaa2dKTkJCgMlv2l7wUHpyaNQIQEJSaPWMNEhERUcELkLZt24Z27dqp2z/88ANKly6tskgSNH3wwQfIK4sWLVIB2aOPPprhOlOnTkV4eLhxiYiIQF6yD9TCChey3WA3fyIiooIXIMXGxiI0NFTd/vPPP3HvvffCbDajZcuWKlDKKzNmzECPHj1Qrly5DNcZM2YMoqKijIuM+p3XWlYtpq6TTHo3/8Q8f00iIiLysACpevXqKpsjwcfSpUvRtWtXtfzChQsICwtDXpDAS8ZcGjJkSKbryfhMsg/2l7zmb0kdLBJ6kTYzSERERAUuQBo3bhxeeOEF1QVfuvW3atXKyCY1adIEeWHmzJkoVaoUevXqBU8T6Gd2zCClMINERERU4Hqx3X///Wjbtq0aNVsfA0l07twZffv2hatZrVYVIA0aNAh+fjna5XzJICXqbyczSERERF4tx9FGmTJl1OX06dPqfoUKFVw+SKROmtZOnjypeq95IiNAYg0SERFRwW1ik4zOpEmTVC+xSpUqqUuRIkUwefJk9ZirSY2TjLtUs2ZNeKIAP+cAiRkkIiKiApdBGjt2rOpRJoM2tmnTRi1bs2YNJkyYgPj4eEyZMgUFyZGLMer6931X0FbqtFmDREREVPACpNmzZ+PLL7/EPffcYyxr2LAhypcvj6effrrABUjbT15zmmqEGSQiIqIC18R25coV1K5dO81yWSaPFTRNKhZxKtLmSNpEREQFLkCSnmsfffRRmuWyTDJJBY3ezT/BGAeJARIREVGBa2J788031XhE0rtMHwNp/fr1auDI33//HQVNoJ9FXSdyoEgiIqKCm0Hq0KEDDh48qMY8krnR5CLTjezduxfffPMNCpogf6cMEou0iYiICuY4SDIfmnMx9s6dO1Xvts8//xwFSfHCgeqaRdpEREQFOINEjgoH+jnVIDGDRERE5M0YILmAn9mkrlmDRERE5BsYILlA6bAgdc0aJCIiogJYgySF2JmRYu2CqH/zihi/eC8SNU5WS0REVOACJJl7LavHBw4ciIJGn4vNyCBZkwFrCmC2df8nIiIiHw6QZs6cmXd74gOMGiR9sMiAEHfuDhEREeUQa5BcyMggiRSOpk1EROStGCC5UDIssGq2Hm2cboSIiMh7MUByKRPnYyMiIvIBDJBcjAESERGR92OAlFeF2qxBIiIi8loMkFzs5nxsDJCIiIi8FQMkF0vUR07gYJFEREReiwGSi1hS52NLQIBtATNIREREXosBkou0q1HCKYPEAImIiMhbMUBykUGtKjv0YtMYIBEREXktBkgu0rFWSYci7VX7Trl5j4iIiCinGCC5iMmk1yDZAqTDkVfcvEdERESUUwyQXEyvQTp5gQESERGRt2KA5GJ6L7aSwalzshEREZHXYYDkYomaLYPkZ2WRNhERkbdigORCrasVN2qQkhLj3L07RERElEMMkFyoT+PyuIpQdbsUruHQ+evu3iUiIiLKAQZILuRnMeGQtYK6XcN8Bt9vZld/IiIib+TxAdKZM2fw8MMPo3jx4ggODkaDBg2wZcsWeKLejcvjkFZe3a5hOgO/1OlHiIiIyLukzovhma5evYo2bdqgU6dO+OOPP1CyZEkcOnQIRYsWhafOx3YxoAKSNTPCTLEIS77k7l0iIiIiXwuQpk2bhoiICMycOdNYVqVKFXgys18gTiSVRjVTJEyXDsgsbe7eJSIiIvKlJrbFixejWbNmeOCBB1CqVCk0adIEX3zxRabPSUhIQHR0tMMlPxUJ8cchzVaHdP7Iznx9bSIiIioAAdLRo0cxffp01KhRA0uXLsVTTz2FZ599FrNnz87wOVOnTkV4eLhxkQxUfprUu75DHRIRERF5H5OmaRo8VEBAgMogrVu3zlgmAdLmzZuxfv36DDNIctFJBkmCpKioKISFheX5Pp+Lisfr0ybhg4CPsdFaG0FPLEWjiCJ5/rpERES+JDo6WiU68uv87VUZpLJly6Ju3boOy+rUqYOTJ09m+JzAwED1Rtpf8lOAnxmHUzNINU2n0fvjNfn6+kREROTjAZL0YDtwQAqdbzp48CAqVaoET1U0xB9HtHKwaiYUNcWgOPK3BoqIiIh8PEB67rnnsGHDBrz++us4fPgwvvvuO3z++ecYPnw4PJXJZELzGuVwUitlDBhJRERE3sWjA6Tbb78dCxcuxNy5c1G/fn1MnjwZ7733HgYMGABPdnejcjislVO3q7NQm4iIyOt49DhI4q677lIXb3L2WhyuaBXQBdtRw3Ta3btDREREvpRB8lZNKhbFIautULu66Sx+2sYgiYiIyJswQMoDtcuE3hwLyXwGo+ZzwEgiIiJvwgApD5QOC1I92UQp0zWEI8bdu0RERES3gAFSHrmBYJzWSqjbLNQmIiLyLgyQ8tDh1DokdvUnIiLyLgyQ8sizd1TnnGxEREReigFSHhnSvqpdgMRebERERN6EAVIeKRTgZzSxVTefwfzNp9y9S0RERJRNDJDyiMVsMiatLWe6gkk/bnD3LhEREVE2MUDKQ9EohHNaUWPASCIiIvIODJDymD6idg0z65CIiIi8BQOkPNSvWQWjmY1jIREREXkPBkh56OUedXBIq2B09d9x6pq7d4mIiIiygQFSHipWKOBmE5vpDPp8vNbdu0RERETZwAApj+ljIUWYLyIY8e7eHSIiIsoGBkh57BpCcVELU7ermiLdvTtERESUDQyQ8sFh6806JCIiIvJ8DJDy2LT7GtyccsR8Gvsjo929S0RERJQFBkh57LZKxRwmre3x/mp37xIRERFlgQFSHgsL8uNYSERERF6GAVIeKxUWZExaW8l0HoFIdPcuERERURYYIOWDiwjHNa0QLCYNVUzn3L07RERElAUGSPnCZNQh1TRxTjYiIiJPxwApH1QtWQgHrRHqdm3zSXfvDhEREWWBAVI++OWZttitVVG365uOuXt3iIiIKAsMkPJBoUA/7LFWVrcbmI/h1OUb7t4lIiIiygQDpHxyUItAomZBUVMM+r+9wN27Q0RERJlggJRPEuGPA5qtDonNbERERJ6NAVI+2m211SE1MB91964QERFRJhgg5aM9WlV13YAZJCIiIo/GACmfNIooYmSQ6puPwZpidfcuERERkbcGSBMmTIDJZHK41K5dG97m68HNVQ2SFGoXM8Vg6botSExmkEREROSJPD5AEvXq1UNkZKRxWbNmDbxNeIi/KtSW3mxi0R+/4dm52929W0RERJQOP3gBPz8/lClTBr5Amtnqm4+r8ZDe3st52YiIiDyRV2SQDh06hHLlyqFq1aoYMGAATp7MeLqOhIQEREdHO1w8yZ7UEbVZqE1EROS5PD5AatGiBWbNmoUlS5Zg+vTpOHbsGNq1a4fr16+nu/7UqVMRHh5uXCIibE1ansK+UBvQ3L07RERElA6TpmledZa+du0aKlWqhHfeeQePP/54uhkkuegkgyRBUlRUFMLCwuBOlV/+DYFIxJ7Ax+FvSkHr+A+w7o1Bbt0nIiIiTxQdHa0SHe46f3t8BslZkSJFULNmTRw+fDjdxwMDA9UbaX/xFN883hwJCMAhrYK6L3VIXhafEhERFQheFyDFxMTgyJEjKFu2LLxNuxol0zSzXY1NcvNeERERkdcFSC+88AJWrVqF48ePY926dejbty8sFgv69+8Pb7XbrlB71+lr7t4dIiIi8rYA6fTp0yoYqlWrFvr164fixYtjw4YNKFnSlo3xRnvsMkjbjl9x9+4QERGRt42DNG/ePPiSP59rj7vfTUSyZkYJUzQWrNiEUd28b2RwIiIiX+bxGSRfU7N0qEOhtq27PxEREXkSBkhuYl+oveLfC+7eHSIiIrLDAMkDCrUHz9rs7t0hIiIiOwyQ3KBZpaJGobaMhcQRtYmIiDwLAyQ3MJtN2KdVUoXaJU1RKI2r7t4lIiIissMAyQ1CAiyphdrl1X2OqE1ERORZGCC5waR76qtr+2a2VxbudvNeERERkY4BkhtULB6CuxuVw57UQu36pmOYu+mUu3eLiIiIUjFAcpN2NUoYXf1thdpERETkKRgguUmfxuVVoXaKZkIp0zWUYqE2ERGRx2CA5CYBfmY807UBDqcWajc2H8binWfdvVtERETEAMm92tcsiQ3WOup2F/M2PDt3u7t3iYiIiBgguZfFbMIf1hbqdlfLFvgh2d27RERERAyQ3OtabBI2WWvjkhaGIqYbaGne7+5dIiIiIgZI7mXVNFhhxtKU29X9nuaN2Hz8irt3i4iIqMBjgORGt1cupq7/sDY3mtn+8+labDh62c17RkREVLAxQHKjIH8LPhnQVBVqX9UKo4QpGs3N/3JUbSIiIjdjgORmwQEWJMMPf6Y0U/d7mDeC07IRERG5FwMkNysbHqSu/7Da6pC6WzYD1hQ37xUREVHBxgDJzcqGB6vrddb6iNZCUNp0DcWu7nT3bhERERVoDJDcLDzYX10nwh/LrE3V7Z6WTYiKTXLznhERERVcDJA8wMZXOqvrP1Jsg0b2sGxE40lL3LxXREREBRcDJA8QYLF9DKutDRCjBaGc6QoamY66e7eIiIgKLAZIHiAh2Wq7RgD+tjZRt7tbNiExdTkRERHlLwZIHqBMak828XtqM5uMqv34rE2IikuCxn7/RERE+YoBkoe4q2FZdb3K2hBxWgAqmi/iypEtaDTxT7z4wy537x4REVGBwgDJQ3z0kK0HWxyCsMLaWN3uYdmkrn/Yetqt+0ZERFTQMEDyQH+kNDea2QBb81qKlc1sRERE+YUBkgeSQu0EzR9Vzedwu+mAWjZ300l37xYREVGBwQDJA91AMH5Oaa1uv+3/KQojFq/+vMfdu0VERFRgMEDywAEjxWvJD+O0VgKVzBcw0X+WmsCWvdmIiIjyh1cFSG+88QZMJhNGjhwJX1Q67GZ3/2gUwsjEp5GimXCfZQ3uMa9DlTG/Yx6b2oiIiPKc1wRImzdvxmeffYaGDRuioNii1cZHKX3V7df8Z6CC6SJe/mk3tp+86u5dIyIi8mleESDFxMRgwIAB+OKLL1C0aFH4ssfaVHG4/0FyX2y11kCYKQ7v+n8MC1Jw8kqs2/aPiIioIPCKAGn48OHo1asXunTpkuW6CQkJiI6Odrh4k3F313W4nwILRiQNx3UtGLebD2K45Wd8t/Ek1h25hOQUTkVCRERUIAOkefPmYdu2bZg6dWq21pf1wsPDjUtERAS83WmtFF5NGqxuP+v3E5KOb8BDX2zE238e5PhIREREBS1AOnXqFEaMGIE5c+YgKOhmAXNmxowZg6ioKOMi2/A2a0Z3SrNskbUtFqW0hp/Jivf9P0YpXMWnq46g2iu/Y+F2jrRNRETkSibNg/uOL1q0CH379oXFYjGWpaSkqJ5sZrNZNafZP5YeaWKTTJIES2FhYfAWqw9dxCMzbFON6EIRi98Cxqh52k5YS2FA0isquySOv9HLTXtKRETkeu4+f3t0Bqlz587YvXs3duzYYVyaNWumCrbldlbBkTdrV6NkmqDnOkLwUNJYFRzJ+Eg/BExEdZMte7T1xBVsO3kVVquG/y7ajfEcWJKIiCjH/ODBQkNDUb9+fYdlhQoVQvHixdMsLygkY/RA4nh8EzAVtcynMT9gEgYmvoz7pqdd94VutRAa5J+t7UpglZhiRZC/7wadREREPpFBovRdQFH8J/FV7LBWRTFTDOYGTEFz0/4068UlpmR7mw9+sQH1xy9FVGySi/eWiIjI+3hdgLRy5Uq89957KCg+f+S2dJdfQygGJI7FBmsdhJri8HXAG+hk3u6wTvPXl+O9vw5mOUXJ1RuJ2HTsCpKtGv4+cN6l+09EROSNvC5AKmi61iuD1S+l7dWmT2o7KHE0lqc0QZApCTMD3lKDSZbDJWOd9/46hOX7L2T6Gk0mLzNuSywVn5SCP/eeQ0xCsguPhIiIyHswQPICEcVCcPC1HigZGpjmsQQEYFjSc5iTbJvotq9lLf4OfB7P+81HIcSpZUO+3oLKL/+GUfN3qMDnyo3ETLNKE3/Zi6HfbMXDX27kBLlERFQgMUDyEgF+Zky4u166jyXDD2OTH8ddCa9ho7W2yib9n98irAh8Hv0sK2CGbcTtn7adUYFP08nLUPO/f6jgZ9Iv+xy2JfHQ3E22saN2nLqG8Yv35sPREREReRYGSF6kR/0yGN6pWoaP79GqquLtYYnP4bi1NEqZruFN/y+wJGA07resgj9uNpklpWhoOXU5vlp7LNPX/Hr9CZceAxERkTdggORFzGYTXuxWG9MHNM1kLROWWm/HnYlvYXLSw4jSQlDTfAZv+3+GfwJH4gnLrygM22S356MT0jz7YkzaZURERAWNR4+k7QsjceaVt5cewEcrDme5Xhhu4CHLcgz2W4LSpmtqWbQWjO9SumBWclecQ/Est/Hr/7XF6auxOHwhBk+0r6qWBfpZcORiDGasOYZeDcqieZVi8Lcw3iYiIt84fzNA8nLbT15F30/WZbleAJLQ27IWQy2/oYb5jFqWopnwj7Uh5qd0xHJrUyQie4NKiiOv90Srqctx4bot49S6WnF890TLXBwJERGR55y/PXokbcpak4pFs7WeBD8LUjrih5T2uMO8HU/4/Y6W5v3oZNmpLle0wliU0lYFS/9qFbPc3pbjV4zgSKw7cjnb+5yYbMUrC3ejXY0S6N24fLafR0RElF+YQfIB93y0BrtOR93y8yqbIvGAZRXus6xGGdNVY/lBa3mVUZLxlbZrNZCC7E0/os8dJ+MoSXObxWxKd705G09g7ELbXHGcZJeIiDzx/M0Mkg+YM6QF9p6NxqerjmDlgYvZft5xrSzeSn4Q7yQ/gHbmXehnWYUu5q2qqFsuT/n9gqtaYay0NsLfKU2wzloPlxGe4fYWbT+Dc9HxeOOPf9X9h1tWxCs96yAkwE8NKbDy4EXULB2KKzGJLjluIiKivMIMkg+5HJOAbzacwNK957E/MjpH2whHDDqYd6GTZTs6mXegiOmGw+NHrWWwxVoLm7Va6vqYVkb1nMvMpw83RUKyFSPm7VD3R3apoUb4Fv9O7g6TCbgQnYDSYUFqvKf0muQkGeXHInAiogIjmkXavv0Gu8vWE1dgNpmyVcCdEQtS0MR0CJ0t29HRvAN1zLYBJO1d0sKw11oZ+7RK2G+thL1aJRzTysKayQgSVUoUwrFLtsArJMCCWLtJdTvULKkCorf7NUL5IsHqdrPXlqFISAD+yWDKlfRIM9/PO86gQ81SKBMedMvHTkREBfv8zQDJx325+ihe+22/S7YVhhg0NR/C7eYDaGY+iMamIwg0JaVZL17zx79aBHZZq2GHXLTqKtOk3cKwWzKtigRP3eqVwef/HFXLjk3tCZOkm9IRl5iC4ICbtVKv/75fPa9E4UBs+W8XuNKYn3YjOi4JHz3UJMP9ISIi7z5/M0AqIF5csBMLtp526TZl6IC6phOoaz6BuqbjqGM+idqmkyhkSjvYpAxYudNaDTu1athvrYiDWgUc18qoaVKy6+jrPdVgmRIMrTp4EddiE9GrYVlVd/V/c7djcJvKGN29NoL8Lej27j84cP66ywvBrVYNVV/5Xd1e8UJHlQ1zJv+lGDgREXn3+ZsBUgGin7i7vrsKB8/H5MlrmGBFJdN51DcdRyPzETQ2H0YD0zE1P5yzRM2CI1o5HNQicNBaAUe1suoigZNMwuusXHgQHm1TGeuPXMaKTIrRFz/TBqN/3G3UYclAl/XLh+PstTicvBKLllVvDo7549bTKlvVvmZJh21cuB6PsCB/FWzpvlpzDLPXH8eJy7aRyD975DbVlHdPo3JGQHQpJgG9P1qLe5uWx/Nda2XrPZPJg4sVSnu8REQFWTQDJN9+gz21mHv1oUvoWq80Hvpio5qUNi/5IRm1TKfQJDVYqmk+jRqm0yhsis/wOae1EjhqLYuTWilcQjguabbLZS1M3T+vFUUssl9b1K1eaVW8LmTkb6umoVFEEaPHnTTfJVs1vPfXQRy5cANL9p5Ty8ffXReD21RRtyu//Fu6225asQhmPtoc4SH+mPrHfny26miazNWNhGRsOn4FbaqVwD8HL6pA6637G+GfQxfx0g+78GjryqheqjB6NiiL33ZHIvJaHF7qXhueQMa8OnQhBv2bZz0+VnoOnb+uni/HRkTkLedvBkgF3JI95/Dkt1vz/XUl01QOl1WwJMGTjO5dxRSJqqbIND3nMguiDlnLq+a6Q3KxllcB1XWE3FLTnfjq0WYqsNl47Eq6j3euXQrL/72Q4fNLhwVi/cud8dKPu/BDalOmfYA08KtNKjCyd0ftUlhz+JIqRNc1q1QUW07YxqSa+0RLNKtc1GEKF2niux6frIZTqFUmFHnl6o1EhAX7q7Gs9MDwuyEt0Lp6iVvelv78bx5vjnY1HDN1IinFim83nEDraiXy9JiIyLtEM0Dy7TfY0x2/dAMd315p3O/duBzG9qqD5lOWu2mPNBTFdRUoVTVHooLpIkogGiVMUShuikYJ2K5DTXGZbiVWC8R1BOO6FoJohKjskwRP+uWUVgqntZLpNuW5SvPKxTD/yVaZZp8kAEmxZv5f8O/nO6BqycLYdzYaPT9YbSzXmw7TM3vdcWw7eRWPt62CT1YcwYvda6FaycLZ2m9pmuzx/mq0qlocnWqXxOu/27JsT7SrgrG96jqsKwHb0UsxatsZ1V3ZH/v8Ya3UvH32Zq49hom/7Eu3Xky2L5uNjktWEylPWLwX7WuWwND21bJ1LETkvaIZIPn2G+wNNh69jCGzt6BznVJ478EmaplkOyTr4amK4Dpqmk6rzJM019lun0ZJ062N/yTDFKhmO2m+g+32RXXb1pxna9KT63DEIjDLMZ+cjburLib9ajv554ZMyyLNos6qlSyk6qQk6Ghfo6Rqpvtp2xm8+9dBh/VkyIS1L9+R7rblJ0C2Xbl4IRQp5I9XF+3BzzvOprvujnF3YufpKEz5bZ8akmHh9jO4FJOI57rUxLOdq+PNpQdUrdg9jcsjPNg/3eDwhydbqe1L0CZ1Xs99v0NtxzlASk6x4q4P16hhGpwHQPWmEdj3no3CCwt2YXT3WuhYq5S7d4fIa0QzQPLtN9ib9f54LXbmcX1SXtQ7FUYcQk2xCDOub6CU6Roqmi4YlwjThSyzUM7itABcQSiitMJqhPGrKGy7jcIqUxWjMlbBuIEgxGghKoN1QSuKywi9pSEO8sqH/Zuo2qu21UvgWlwS5m8+hc9Sh1BwBck+2gdWL3arpQrqpRkxI7sndMXIeTuM5svPH7kNQ7/ZqrJXksmUACk9+pAPEnyUCQtC8cISvOZNL8INRy+r3ooykKm+fZHd12g9dTnORsW7NbCT2jrpDDCpd323vD6RN56/GSBRhqQ7/ZGLMSr7ID+wckKYte44fIOtKU8CJ9V8h2iUtGvGKybXpiiUSL2fXi+87JLeehdQVBWWn9PkulhqgBWKa1phXIMt4JLb0SikAqtbzVT5ojbVi2Pt4fQnQZ41+HZVI3XvJ+vUKOtHp9oCj12nr+Gej9bi6Y7VHIrcJRslI7FLc6asn1VwI+tLy+emY1fw8IyNRnAjTX73Tl8Hf4tJNRfabychOQWBfmnnLWwwfimuJyQb23A1Oabr8UlqMNWM6Fm85c93yHZTq6e61QCVvFc052IjTyUDL+o1LhNT//IsGx6EBhXC8dbSAwjys2D90fRPYJ7PhKsIw1UtDAey/BNBQwgSVMBUBDEoaopRTXzqWt2OUdkoyVwVQhwKm+IQijiEmWJV4BVgSkEFXEIFU8aZFHspmkkFSlFaIUShkAqcpJlP78mnLgjHFS0MUQhBtMpehWQ6erk3yig4ElN//9cY50oCGQlOTl2JU8GR+GTlEYy6s6YKiqSmqs/Ha1U9lmS4Cgf6YXKf+g61UPIHwNYTV/HfXnVRs3Rh3PG/VYiKS0K/ZhUcXvfopRtGr8/o+GSjGVFvkn6lZ+209VE5OI+v+PeCGvpBelpmZcCXG7Dh6BUse669amJ94uutCAvywzv/aawet/8bWArisyLB4ZXYRJQK9bwR6CUY7PvJWhQvFICZg5u7e3fIxzGDRDmif20kwyTd5+XHXLpxy1/WM1Yfw/+WOdbAFFTS5FcSUShjuoLSpqvGtQRVElzZgi25vo4iuJHuyOTZJc17UpAeqwUhAf5IhB8StADjttRQxWjBKpiSdaVJ0HY/SN2+kXr7RmozoVxSkDYj4iv+26sOejcuj193nTWKxMVDLSriu40ns8xiSQZJgqg765ZG8yl/4cL1BCNLJBkdGb5Bxsh6+rttsP+VfblHbTx4e4Sqq5KApnKJQmoohG0nr6kJnxtHFFFzKurbiklIRrC/RdUKSlPd/bdVSDc7NLR9VQxoUREd3rJ1ujj4Wg81t6H94KY/D2+DKiULqdqvjPT7dL0akmLR8DZqXzzJgXPX0e29f7yuDo288/zNAInyhHyt5C97+VF/6EtbEwVlLRCJCMcNhJtuqImD5VqCKGnmszX5RaXejkYx03WEIhbBpsQ8258EzQ9xCFTBVZyWeo1AxGsBiEfqRQtAHAJU1uuaynrZmgv12zc0CcCC1LhVtzr8gjd44LYKqshdhl4QoYF+RpNabm0e2wW3T/kLDSuEY9fpKCPIsc8s6QHSY22qqHqpfakDpMpE0FLAv3TvOQz7xnEoj70Tu6msmQx6GpeUgiMXYjB3aEtUKl7I2J6MezX13gZwJRkPTCauzunAqPYBUmZTD/k6CXplVgFfF80mNvJF8sNlMUGNmyN/6ckPo/xwy7AC0jQh/8FljJ/cTKbri2TYgQty0YraFmTjzxd/JKtAKcx0QzXtSRNfAJJVsGW7TlKZqWAkqGZAedxWyC5NgbEoZIq3NQ0iHoVSH5NmQRFokucnq+yWK8qiJOCKTc1OScB1QwVeQUbgJcMz6IGXZL5sgZg/4hGoAi2VBUOwypLJNmR9WSbblPXdUbvlPIWPq4IjIcGR0IMjvfOEZK1kcNHn5+80ln+19pjDc/U/fZ2DI7Hx2GV8sdpx/UFfbcLKF29OCC3/R6WmS54vWS9pkvxtVySaViqKphVTv59Z/JEkwZBk2ab8th+DWlfCfdPX245nQlcjiyXjgEmmKzvsYwL5A0x+Y7LrXFQ8Hp25CQ+3rKQu3kpG75cgsVGFIvigfxOHGjtX2HMmCqeuxKJH6sCuMrH4X/vOq/fMfr7LgoAZJHKr+VtOqaYIsWZ0J7SdtkLdHtK2ihrZ2neKwr2LzLMnAZXUXoWY4m3XSECwKR7BSESQXEyp10hCkCkBYYg1arKKpGbA5H4hJOSq6TC7pHZLgix10QKQqJoW/e2aGyXQCkgNrFIDrNTAS54j68k66lpdbNkxWwBmC+Qk9JR1vaHeK8jfjPikrGuO7B2e0gPVx/6R5XqSvZHAUP7vNqlYBLEJKXj93voqYyXNgRN+2afG7ZJJneuUDVVDQ9iTjh8yxlbdsuF4ZeFufDKgKT5ecRgNyodjSLuqWLD1FIa1r5Ym07Rgyym8mPp7cWhKD/jZjSOWXoAgp7fjl2MRm5iML1cfM4aTkIFfn7mjOppULIp1Ry5h+sojeK1PfZVBu1XL959XxyxNpVKjKUHhF/8cRec6pVG3XJjRq1KaXUPTado8Hx2vBkqVpt2y4dJBA8a0RdLzsGbpUIdR7d/765DRM1Te+ztqlcKHKw5j+oCm6jVlmqSShQPTza7JH6p+FlOazgTSjCvvpXx+egbx59RMpX5/WPuqGNOzDgrS+ZsBErmV/JX647bT6odK6jHkrxf5wZD/6PLVlAECTWZg4bYzqF8+zPgL1BtJD6LRP+wyRsq+Fc92roEPlh+CN9dihUiGCgkqS1UI8QgxJRhBWLApNRhDggq8JPsVZBeISVCmMmCmOLWO7To+34Kv9DJhEkDpwZQEUnKtZ8Eko+XYLGkLtuQ5tiZKW7CWDAuS1Ltjsd3WbPflMT3Qk+yZLSdYsBL+UgAvdV766Op6D0Xdgde649m521UNpJzct756p3rO6aux+Ojvw7i3aQW8/vt+o6i+UYXwNIGaZOKW7bNNQSRZrCfbV1WZklKpQzpIdksyczLGmAQ79qRjgIw5Nuan3cayZ++orpK+H/592BjMVYr3i4b448hF2wwBklGXgVzXHr6Ed//TGPXGL1XL5fdPCu0l0y5BUY3UQFX2UYa/+HHbGbyw4GbGMD36MBn3Na2AKX3rqzHGpKPN8E7VVZBYd9xSVcC/a0I3I+skvZXrjFuiAup/J/cwAqL/PdAI991WwbgvhfG/j2iHFq/bBhGeeE89DGpdGb58/maARF5FilmLFgpAs9f+Mv6COnrxhkrjixGda+CpjtXUD0lkVLzqmeQp5IdR/lqV+e9KFA5QGbJrsUl4/8HGqoZFn6JE/DGinZpSZNm+c3imUw01z5suKjYJb/35L77dYCskrlA0GKev3tqYTroiIf4Y3LpKmoElvYkFKSp4UsFWaqAVpDcvmmzXkhGTpkYJtvTASjJjEqhJE6Osr5oi5dqUuq4KyhJV8CbbLmSyFWG7iwRPkgkzsmKpQZrKjqns183b+jp6E6QKslKzYeo5mm07sr4EZPr29GWJTvf1QC4Jlnwf0+vhlhWN73pWJCB5as5W1aMxN/4a1R6nrsZh1trjWJU6RZA+zINMJ1SvXJhDYX92BnXV/adZBL7fcirdx2SSawm6nHWqVTLTCbqzMqxDVRQNCTDmnpT7EqT98GRrNVJ9rw/WGJnBKmN+N+as/LB/E6PAPz0da5VUWbMKRUNUEOZr528GSOSVJK0ugx7az1Mm6eNCgWn/ypbBCvt/sSHN8k8fboonv92G/KL3upEsWUSxEAT6mZGQZFXBj/w3lKk0Ll1PRPHCAcaghNkt1pRiePnBlh9u+atwSp/6SLJase7IZTXoonRDP3MtTk1Z8sycbXj93ga4u1E5Yzvy1/m7yw7i+a61VFApo6pL84YEXjVK2aYRkaJeKQJuX7Mkftx6Gk+0q4q9Z6ONHlfiroZl8euuSDzSspJK9SelaPg7kznsvIumgiYJwPRgSw+qbM2Mcq03S6YGVYhXAZaeDZOCevvMmB9S1MVfXUuOKAUBqu7LFpzJtswmz/qJTtbMRrAkvRxtwZMFyZrttt48ebOGLMCh+VIP3mxBmWTdbOvEOdWfSUAo29dfx+Fas3vd1OBN3s28DN6kGU3+X8j325fULhOKf8/ZhszIjS3/7YISdgO2+sL5mwESFQiSDpdMk8wxZh+wXLyeYBTCSiGq/hdWXvCUbsmu7gEj76FMp/JSt1oq8HMmGa8hX2/G7ZWLqeaSEfN24LZKRY3s3ujutfFkh6qqduNqbKIq3h2/eK9DRs3exw81xfDv8i+wdS9NZcAk8JKAKSA1uxWoZ8VS78ttvTBflsltCdBszZO256rr1GBNZdVMtm3oGTbbMv3+zWWeFqBl3fR5MxCTLJiEnclOAVaSZsuc2bJlttv2y/QAUJ4r20iBWV2k9sz+tpZBp4BkmI3tqdcztmnb3s37tsdSNLPaR9mmPFf20/51rDCp27bX88zeaz0blMEnA27zqfO3xwdI06dPV5fjx23FuvXq1cO4cePQo0cPr3iDyTOnT5Hxmg5N6WkETwEWs8qS/Ln3nBp077fdZ3E+OsEnAyRP6IUjxaASWEmWSibszYxeA7H6pU6qOVE+Jylq/e+iPWq5TAMiPW30v4RlLrh1Yzobz6tVOlQNKqlf063Q1GlbZbaQrHpMqovJlu2yXeRxWW67L0GWXryvsmup9/VmTj3IswV+9sX+er2ZLUOnb99isqptS8igv4Z+25uCN1d2Rkg2sndm41qyZ/JuSBBlu9y8bdVMDgGe1biddrleB5fkFDw6B5m2ujlbwCfrbbdWxw9Tn3fpsbr7/O3xAdIvv/wCi8WCGjVqqGaI2bNn46233sL27dtVsOTpbzB5lrPX4lSx8+A2VYziz4xO4tKLxGwyYdGOM+h/e0U1inKN0oXVODef/3MUU28x28QAKWdkHB/pDfVAswiHJtYftp5SWSlpjtx28ipaVi3u0OQqzY5XY5PQvX6ZNJ+tDOwow03o05acvRaPyzEJamT4tx5opHohzdt8El8MbIZHZmxy+AylCFjqQWRS34zIYI5SKDvmJ1uPK+lJRa4np3Q9aNOHtLiZZbNl1vxNeiBnC+Ik4DOCPZP+XFtWTjV3GstuBoR+JltIYcvx6LfTP3VKSGJO8xq2ANPPWOYYcMp2JfTQh9fwRp8k34OnX/vGpdt09/nb4wOk9BQrVkwFSY8//rjHv8Hku2SiVOllZ1/fJN2HpTfMH3vOOayb7hQU5Fby0yfdm9Prem1v9aGLeHrONjVo4l0Nyzl8/lL4KkF0aJCfyoRJZiy9yXKlN5SMOi9ToPyy8+aEvqJ0WCCm9GmgatBOXolVXc6z69W76mLyr+kXC5N3MqUGYvrlZr7Hls3TAzUJ2ixGRs22zJYvgl3uyBZE6o+p9Ux2t+22Z2xXDzpNNwNFPbjzM4LNm9k8tY4pCctTmuKT1ye79L1w9/nbqwKklJQULFiwAIMGDVIZpLp163r8G0y+78TlG2pckgduizAGvJMxT+Q/1pLd59CtXhmHXmjkfVxZtyXb2n7qmhoLqEx42mJ86XYtBfzzNp/CT9tOq2ZD6eotc8g90qqSCoj6NimvuoU3rFBEDeq34sAF9f2TzGbTSkXQrkZJzN98SvW4kiL9LSeuqIJ53e2Vi2Lz8avo3bgcOtUqhZHf73DJsVHBdtzFWXJ3n7+9IkDavXs3WrVqhfj4eBQuXBjfffcdeva01Y84S0hIUBf7NzgiIoIBEhF5JWlOzKpOKyMy9k1IgJ+apFayUxMW78VjbauooMie9DhsPmV5mgEmKxYLUc+zVyo0UDVbfr3+BAoFWHAjMUUNcjiySw1jGzqp7UtMnSBXAjUZjkOfCoV8y5whLdCmegmXbpMBUjYkJibi5MmT6k364Ycf8OWXX2LVqlXpZpAmTJiAiRMnplnOAImIKGNzN51UY3P1qF9GjTr9n9sjVAG8aP/mChUoyYjXMim1DDIoWTAZ+VqaFXWSyRo8c7PDqMuSYd1y/Cr6NCmvAr1/z0WrTJcMy/Fg84pGsLbm0CU8PMM2b+PwTtVQvFCg6h2ZU85F+Stf6IgHPluPmPhkNQ6QZORkQFo5RhnANb2xiVa80BGd3rZN/kv5X2PJACkHunTpgmrVquGzzz5L8xgzSEREriVNxocvxKBxRJF8nSBWsmfVUgcqXPViR9UkeTkmUY2/JXPDTfxlL9pWL4GZa4+jZGggHm9bRY3XJRMHzxh0O7q+a5vY9vuhLdGiavFMX2vFvxcweNbmNCd7mX/OfliJLwc2U9OjyJhjXz16u5oTToI+fbDFOmXDsN8uSyb7N7F3PczdeFKtq8+ZJ6Nrt6pWHMH+fmo2gZyYdl8DjP7x5kje7tKlTml8OaiZy7fLACkH7rjjDlSsWBGzZs3y+DeYiIhyTgYnlSJ3GaD0Vsm0RTJBdlbBkZBToRTRy5Qi9k2QsrznB2uMoEdGm04vSJS5575ccxSj7qyJ45diMXPtMTXo6xv3NnSoX9t64orqbSn1Y7rFO8+q0fVlmQw1Ipm233dHqmlUJEv3w1Ot8Mfuc9h9Jgr3NCqn5qiUyYplrjS9bu3PfefUGGO6zWO7INDfjFHf78Bf+9MO1vrpw7fhyW9vTmQ8oEVFzNnoOGL5kLZVcPlGohpt23mEb9kPOY6IYsFq0Nj0BunNLXefvz0+QBozZowa80gCouvXr6v6o2nTpmHp0qW48847Pf4NJiIi7yanyV2no1RzYmbDg7iaDDUi88vZD1+RGRmUVUbMd543Tgr5T12NRetqjjVCMvlt8cKBRlOqTD/yx55I1bxZvmgwxvSobQSDEmiOXbQbkdfi8fnA21C9VN6/D+4+f3t8gCRd+ZcvX47IyEj1RjVs2BCjR4/OVnDkCW8wERER3Tp3n789fnroGTNmuHsXiIiIqIDJ32mZiYiIiLwAAyQiIiIiJwyQiIiIiJwwQCIiIiJywgCJiIiIyAkDJCIiIiInDJCIiIiInDBAIiIiInLCAImIiIjICQMkIiIiIicMkIiIiIicMEAiIiIicsIAiYiIiMiJH3ycpmnqOjo62t27QkRERNmkn7f183h+8/kA6fr16+o6IiLC3btCREREOTiPh4eHI7+ZNHeFZvnEarXi7NmzCA0Nhclkcnl0K4HXqVOnEBYWBl/GY/VNPFbfxGP1TQXxWPft24datWrBbM7/iiCfzyDJm1qhQoU8fQ35ovr6l1XHY/VNPFbfxGP1TQXpWMuXL++W4EiwSJuIiIjICQMkIiIiIicMkHIhMDAQ48ePV9e+jsfqm3isvonH6pt4rPnL54u0iYiIiG4VM0hEREREThggERERETlhgERERETkhAESERERkRMGSDn08ccfo3LlyggKCkKLFi2wadMmeLKpU6fi9ttvVyOKlypVCn369MGBAwcc1unYsaMabdz+8uSTTzqsc/LkSfTq1QshISFqOy+++CKSk5Md1lm5ciWaNm2qeh9Ur14ds2bNQn6aMGFCmuOoXbu28Xh8fDyGDx+O4sWLo3Dhwrjvvvtw/vx5rztOnXwPnY9XLnKM3v65/vPPP7j77rtRrlw5td+LFi1yeFz6mIwbNw5ly5ZFcHAwunTpgkOHDjmsc+XKFQwYMEANrFekSBE8/vjjiImJcVhn165daNeunfr/LKP3vvnmm2n2ZcGCBep7JOs0aNAAv//+e74da1JSEkaPHq1et1ChQmqdgQMHqlkCsvouvPHGG151rOLRRx9Ncxzdu3f3uc9VpPd/Vy5vvfWW132uU7NxnsnP399cn6elFxvdmnnz5mkBAQHaV199pe3du1d74okntCJFimjnz5/XPFW3bt20mTNnanv27NF27Nih9ezZU6tYsaIWExNjrNOhQwd1LJGRkcYlKirKeDw5OVmrX7++1qVLF2379u3a77//rpUoUUIbM2aMsc7Ro0e1kJAQbdSoUdq+ffu0Dz/8ULNYLNqSJUvy7VjHjx+v1atXz+E4Ll68aDz+5JNPahEREdry5cu1LVu2aC1bttRat27tdcepu3DhgsOxLlu2THqmaitWrPD6z1X2ZezYsdpPP/2kjmnhwoUOj7/xxhtaeHi4tmjRIm3nzp3aPffco1WpUkWLi4sz1unevbvWqFEjbcOGDdrq1au16tWra/379zcel/eidOnS2oABA9T/j7lz52rBwcHaZ599Zqyzdu1adbxvvvmmOv7//ve/mr+/v7Z79+58OdZr166pz+f777/X/v33X239+vVa8+bNtdtuu81hG5UqVdImTZrk8Fnb/x/3hmMVgwYNUp+b/XFcuXLFYR1f+FyF/THKRc4rJpNJO3LkiNd9rt2ycZ7Jr99fV5ynGSDlgPwwDR8+3LifkpKilStXTps6darmLeSkKv9ZV61aZSyTE+mIESMyfI58Uc1ms3bu3Dlj2fTp07WwsDAtISFB3X/ppZdUcGLvP//5j/qPk58BkvxwpkdONPKjsGDBAmPZ/v371XshJx1vOs6MyGdYrVo1zWq1+tTn6nxykeMrU6aM9tZbbzl8voGBgeoEIeTHU563efNmY50//vhDnYDOnDmj7n/yySda0aJFjWMVo0eP1mrVqmXc79evn9arVy+H/WnRooU2bNiwfDnW9GzatEmtd+LECYcT6bvvvpvhc7zlWCVA6t27d4bP8eXPVY77jjvucFjmjZ9reueZ/Pz9dcV5mk1stygxMRFbt25VqXydzBMj99evXw9vERUVpa6LFSvmsHzOnDkoUaIE6tevjzFjxiA2NtZ4TI5P0rKlS5c2lnXr1k1NKrh3715jHfv3Rl8nv98baWaRlHbVqlVVGl5StkI+O2musN9HSTlXrFjR2EdvOs70vp/ffvstHnvsMYfJmX3lc7V37NgxnDt3zmG/ZMZvSaXbf5bS/NKsWTNjHVlf/s9u3LjRWKd9+/YICAhwODZpGrh69arHHr/8H5bPWI7PnjS9SPNFkyZNVDONfdOENx2rNKFI84pMVPrUU0/h8uXLxmO++rlKU9Nvv/2mmgudeePnGuV0nsmv319Xnad9frJaV7t06RJSUlIcPjwh9//99194A6vVipEjR6JNmzbqhKl76KGHUKlSJRVYSHu21DzIf7CffvpJPS4no/SOW38ss3Xkyx0XF6fqRPKanCClPVp+WCMjIzFx4kTVNr9nzx61f/Ij4nxSkX3M6hj0xzzlONMj9Q3Xrl1TNRy+9rk60/ctvf2y3285ydrz8/NTP9j261SpUiXNNvTHihYtmuHx69vIb1LHIZ9j//79HSYtffbZZ1VdhhzfunXrVDAs/wfeeecdrzpWqTe699571b4eOXIEr7zyCnr06KFObhaLxWc/19mzZ6v6HTl2e974uVrTOc/k1++vBIWuOE8zQCqApEBOgoU1a9Y4LB86dKhxWyJ4KXzt3Lmz+oGqVq0avIX8kOoaNmyoAiYJEObPn++2wCW/zJgxQx2/BEO+9rmSjfwF3q9fP1WgPn36dIfHRo0a5fDdl5PRsGHDVPGsN01P8eCDDzp8Z+VY5LsqWSX57vqqr776SmW8pajY2z/X4RmcZ7wJm9hukTRTyF8wzlX3cr9MmTLwdM888wx+/fVXrFixAhUqVMh0XQksxOHDh9W1HF96x60/ltk68leuu4IT+WulZs2a6jhk/yT9KlkW533M6hj0xzz1OE+cOIG//voLQ4YMKRCfq75vmf1flOsLFy44PC5NE9IDyhWfd37/n9eDI/msly1b5pA9yuizluM9fvy41x2rPWkql99e+++sL32uYvXq1Sqzm9X/X2/4XJ/J4DyTX7+/rjpPM0C6RRK533bbbVi+fLlDKlHut2rVCp5K/tqUL+3ChQvx999/p0nHpmfHjh3qWjIOQo5v9+7dDj9M+o903bp1jXXs3xt9HXe+N9L1V7Ilchzy2fn7+zvso/woSY2Svo/eepwzZ85UzQ7SPbYgfK7yHZYfO/v9khS71KDYf5byYyz1CDr5/sv/WT1QlHWkK7YEH/bHJk200jThKcevB0dSXyeBsNSjZEU+a6m90JujvOVYnZ0+fVrVINl/Z33lc7XP/srvU6NGjbz2c9WyOM/k1++vy87T2S7nJofug9JTZtasWao3xdChQ1X3Qfuqe0/z1FNPqe7QK1eudOgqGhsbqx4/fPiw6kYq3S6PHTum/fzzz1rVqlW19u3bp+l+2bVrV9WFU7pUlixZMt3uly+++KLqnfDxxx/ne/f3559/Xh2nHId0bZXuotJNVHpU6N1Mpevp33//rY63VatW6uJtx2lPemjIMUnPFXve/rlev35ddfWVi/xcvfPOO+q23nNLuvnL/z05rl27dqkeQOl182/SpIm2ceNGbc2aNVqNGjUcuoNLzxrpIv3II4+o7sny/1uO1bmLtJ+fn/b222+r45eekq7uIp3ZsSYmJqohDCpUqKA+I/v/w3rPnnXr1qmeTvK4dBH/9ttv1ec4cOBArzpWeeyFF15QvZrkO/vXX39pTZs2VZ9bfHy8T32u9t30Zd+kt5Yzb/pcn8riPJOfv7+uOE8zQMohGXdBPmQZZ0G6E8pYHJ5M/mOmd5ExK8TJkyfVSbNYsWLqSyVjisiXz368HHH8+HGtR48eaowNCTokGElKSnJYR8bfady4sXpv5GSsv0Z+ke6eZcuWVa9fvnx5dV8CBZ2cPJ9++mnVLVb+k/Xt21f9J/a247S3dOlS9XkeOHDAYbm3f67ymul9b6UbuN7V/9VXX1UnBzm+zp07p3kPLl++rE6chQsXVl2FBw8erE5a9mQMpbZt26ptyHdGAi9n8+fP12rWrKmOX7oY//bbb/l2rBIoZPR/WB/vauvWrarbtpyggoKCtDp16mivv/66Q1DhDccqJ1M5OcpJUU7g0sVdxrBxPrH5wueqk0BG/u9JoOPMmz5XZHGeye/f39yep02pB0VEREREqViDREREROSEARIRERGREwZIRERERE4YIBERERE5YYBERERE5IQBEhEREZETBkhEREREThggERERETlhgEREHuHixYt46qmnULFiRTVDucyz1q1bN6xdu1Y9bjKZsGjRInfvJhEVEH7u3gEiInHfffepmb5nz56tZm+XmbdlckmZpJSIKL9xqhEicjuZmV1mHV+5ciU6dOiQ5vHKlSvjxIkTxv1KlSrh+PHj6vbPP/+MiRMnYt++fShXrhwGDRqEsWPHws/Pz8g8ffLJJ1i8eLHavswI/+abb+L+++/PxyMkIm/DJjYicrvChQurizShJSQkpHl88+bN6nrmzJmIjIw07q9evRoDBw7EiBEjVID02WefYdasWZgyZYrD81999VWVodq5cycGDBiABx98EPv378+noyMib8QMEhF5hB9//BFPPPEE4uLi0LRpU5VJkkCmYcOGRiZo4cKF6NOnj/GcLl26oHPnzhgzZoyx7Ntvv8VLL72Es2fPGs978sknMX36dGOdli1bqteQzBIRUXqYQSIijyAZHglqpCmse/fuqjlMghjJCGVEMkKTJk0yMlBykSBLskyxsbHGeq1atXJ4ntxnBomIMsMibSLyGEFBQbjzzjvVRZrFhgwZgvHjx+PRRx9Nd/2YmBhVf3Tvvfemuy0iopxiBomIPFbdunVx48YNddvf3x8pKSkOj0uG6cCBA6hevXqai9l88+dtw4YNDs+T+3Xq1MmnoyAib8QMEhG5nXTlf+CBB/DYY4+pmqPQ0FBs2bJF9Tbr3bu30ZNNuv23adNGjZMkvd7GjRuHu+66S42dJL3SJCiSZrc9e/bgtddeM7a/YMECNGvWDG3btsWcOXOwadMmzJgxw41HTESejkXaROR20nNtwoQJ+PPPP3HkyBEkJSUhIiJCBU2vvPIKgoOD8csvv2DUqFGqe3/58uWNbv5Lly5VdUjbt29XWabatWurpjmpRdKLtD/++GPVQ+6ff/5R3fynTZuGfv36ufmoiciTMUAiIp+WXu83IqKssAaJiIiIyAkDJCIiIiInLNImIp/GKgIiyglmkIiIiIicMEAiIiIicsIAiYiIiMgJAyQiIiIiJwyQiIiIiJwwQCIiIiJywgCJiIiIyAkDJCIiIiInDJCIiIiI4Oj/AWEPVPVRVqHvAAAAAElFTkSuQmCC", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Pretrain loss curves\n", "plt.figure()\n", "\n", "for tag in [\"train\", \"val\"]:\n", " sdf = log_df[log_df[\"tag\"] == tag]\n", " if len(sdf):\n", " plt.plot(sdf[\"step\"], sdf[\"value\"], label=f\"pretrain {tag}\")\n", "\n", "plt.title(\"Pretrain Loss (from log/log.txt)\")\n", "plt.xlabel(\"Step\")\n", "plt.ylabel(\"Loss\")\n", "plt.legend()\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "data": { "image/png": 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steptagvalue
7318250hella0.3068
7418500hella0.3062
7518750hella0.3061
7619000hella0.3047
7719072hella0.3042
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" ], "text/plain": [ " step tag value\n", "73 18250 hella 0.3068\n", "74 18500 hella 0.3062\n", "75 18750 hella 0.3061\n", "76 19000 hella 0.3047\n", "77 19072 hella 0.3042" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Pretrain HellaSwag accuracy curve (acc_norm)\n", "plt.figure()\n", "\n", "sdf = log_df[log_df[\"tag\"] == \"hella\"]\n", "if len(sdf) == 0:\n", " print(\"No 'hella' entries found in log/log.txt. (Did you run the HellaSwag eval in train-model.py?)\")\n", "else:\n", " plt.plot(sdf[\"step\"], sdf[\"value\"], label=\"pretrain hella acc_norm\")\n", " plt.title(\"Pretrain HellaSwag acc_norm (from log/log.txt)\")\n", " plt.xlabel(\"Step\")\n", " plt.ylabel(\"Accuracy\")\n", " plt.legend()\n", " plt.show()\n", "\n", "sdf.tail()\n" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Using: /Users/shrithkshahapure/repos/ml-training/GPT/GPT2/GPT2/hf_sft_lora/checkpoint-3248/trainer_state.json\n" ] }, { "data": { "text/html": [ "
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epochgrad_normlearning_ratelossstep
00.0076970.8658310.0001984.535525
10.0153940.7642030.0001973.551850
20.0230910.7519740.0001953.155475
30.0307880.8700100.0001942.9737100
40.0384850.8241000.0001922.8744125
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" ], "text/plain": [ " epoch grad_norm learning_rate loss step\n", "0 0.007697 0.865831 0.000198 4.5355 25\n", "1 0.015394 0.764203 0.000197 3.5518 50\n", "2 0.023091 0.751974 0.000195 3.1554 75\n", "3 0.030788 0.870010 0.000194 2.9737 100\n", "4 0.038485 0.824100 0.000192 2.8744 125" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "def find_latest_trainer_state(out_dir: Path) -> Path:\n", " candidates = list(out_dir.rglob(\"trainer_state.json\"))\n", " if not candidates:\n", " raise FileNotFoundError(f\"No trainer_state.json found under: {out_dir}\")\n", " candidates.sort(key=lambda p: p.stat().st_mtime, reverse=True)\n", " return candidates[0]\n", "\n", "def load_sft_trainer_loss(out_dir: Path) -> tuple[pd.DataFrame, Path]:\n", " ts_path = find_latest_trainer_state(out_dir)\n", " data = json.loads(ts_path.read_text())\n", " hist = data.get(\"log_history\", [])\n", " df = pd.DataFrame(hist)\n", "\n", " # keep only rows with train loss\n", " if \"loss\" not in df.columns or \"step\" not in df.columns:\n", " raise ValueError(f\"Unexpected trainer_state.json format at {ts_path}\")\n", " df = df[df[\"loss\"].notna()].copy()\n", " df = df.sort_values(\"step\").reset_index(drop=True)\n", " return df, ts_path\n", "\n", "sft_df, sft_state_path = load_sft_trainer_loss(SFT_OUT_DIR)\n", "print(\"Using:\", sft_state_path)\n", "sft_df.head()\n" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [ { "data": { "image/png": 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dXyvXXHONtXTpUrf7LVy40GratKnZBtfnmNX94JjaXq5cOTPF33OffP/999Zll11mfo560dfhoEGDrE2bNjnv4/h5/P777xnu36w+H92vDz/8sFW2bFkrIiLCql69utl/qampbvfTx9bt8KQ/Q8/lA5588knzfT0fA8GHc0sBQUxL+/qOXodPhg8fbvfmIA/65JNPTIVSVzPOTmO7t+mQl1ZQdeFAxwKZCF703ABBTHsldEjqvffeM42vgL9ps7/2yWRlNWZf0lmIOtSW3ppICD5UbgDAJnoaA62uZUQbwu0OBTl18OBB03ekp/jQ2U2c8gD+RLgBAJvoMInngnSudFadntQ0EOl2a4OwnhNMG4Z1EUDAXwg3AGATrWY4TliaHl1l1zGLCUDWEW4AAEBQoaEYAAAElTy3iJ8ub79v3z6zCBUnTgMAIDDoQJMu+qgLeXqelFjyerjRYBMXF2f3ZgAAgBzIyppJeS7cOJa9152jy30DAIDcLz4+3hQnXE+mmpE8F24cQ1EabAg3AAAElqy0lNBQDAAAggrhBgAABBXCDQAACCp5rucGAAKBnnMqKSnJ7s0A/EZPbKon+/UGwg0A5LK1PA4cOCAnTpywe1MAvytcuLCULl36ktehI9wAQC7iCDYlS5aU/Pnzs9go8kyoP3v2rBw6dMh8XqZMmUt6PMINAOSioShHsClWrJjdmwP4Vb58+cz/GnD0d+BShqhoKAaAXMLRY6MVGyAvyv/Pa/9S+80INwCQyzAUhbwqxEuvfcINAAAIKoQbAEBAu/322+WVV16R3Gb9+vXmBI9nzpzx6/e94447pGfPnrY/hp0INwCAS3b48GG57777pEKFChIVFWWm83bp0kUWLFjgvE+lSpXMsIPrRQ/+w4YNS3O95yUjq1atkmnTpslDDz3kvK5Dhw4yZMiQHD8X/XrH942OjpYaNWrIiBEjzIweT4sWLTKNr927d09zW506daRVq1byxhtvZPr99Pk3atRIvGX06NEyfvx4ycsIN15yLjFF9p44JwfjE+zeFADwuxtvvFFWrFghn332mWzevFl+/PFHExKOHj3qdr8XX3xR9u/f77zo1zz22GNu12ng8bxfRt555x25+eabpWDBgl59PgMGDDDfd9OmTTJ06FB57rnn5IMPPkhzv08++UQefPBBmTdvnuzbty/N7XfeeaeMGTNGkpOTL3mbstpkGxsba9aLycsIN14yY90BaTvyN3ls4iq7NwUA/Eqnr//xxx/y3//+V6644gqpWLGitGjRwoSC6667zu2+hQoVMlUdx6VEiRImmLhep5UQz/tlNHV+0qRJcu2112Zre7///nupW7euqTBpNen1119Pd9aOfl99LhpQGjRoIDNnznS7z+nTp+Xbb781FSut3KRXLbnqqqvk2LFjMnfu3HS3Rb/mhRdeMBUoR7XI8Tj6sQYj3YcFChSQl19+2Tzn/v37S+XKlc3U6Zo1a5pKTWZDSh06dDCVrSeeeEKKFi1qnpdWi7Lj/Pnz5jF0irZWsy677DJZsmSJ8/bjx49Lnz59zM9Tt6t69eoybtw4c1tiYqI88MADZu0a/Vrdp1oJ8yXWufGSiLALOfF8cqrdmwIgiOhQyLmkFFu+d76IsCzNXtFwopcpU6aYYRgNDf6wevVqOXnypDRr1izLX7Ns2TK55ZZbzMH91ltvlYULF8r9999v1hXSUJDe/p8/f75s3LjRHLBdfffdd1KrVi0TMP7v//7PDIVpoHPdZ5GRkWbIScNfx44d0zy+bsPatWvll19+kVmzZjkrLw66nSNHjpS33npLwsPDJTU11VS2Jk6caLZZt3/gwIEmOOjzyshnn30mjzzyiPz5559mKE2fa9u2bU34ygoNRhoK9XE0nLz66qtm2HHr1q0mMD377LOmx2j69OlSvHhxc/25c+fM17799tumkqf7S4ctd+/ebS55ItzoD09fFIMHDzY/xPRomtUE7Up/iRIS7B8Kigi78GJOSiHcAPAeDTZ1npthy/de/2IXyR958cOEHnT177MO5ejQTZMmTaR9+/Zy2223mYqHqyeffFL+85//OD/XRmDXfpns2Llzp6nyaDUhq7T/RUOGHoyV9tPoQXnUqFFu4eb999+XsWPHmqqDDgdpxcFzO3VISkON6tq1qwlaWqHRSomrsmXLmm1Nj1Y5NBjqPkyvQtW7d+80xz2t9DhoBUfDigaHzMJNgwYN5Pnnnzcfa0h79913Zfbs2VkKN9oQrRUk/Rl369bNXPfxxx+bSpbug8cff1x27doljRs3dgZNrYg56G36PbXao8FPw1GeGJbS0taHH36Y5pcgPTExMW7jsBm9YPwtIvzCriTcAMirPTfac6Lv0PVAP2fOHBNyPIdq9EC4cuVK56Vv3745/p5aGdA3uNlZG2XDhg2mYuFKP9+yZYsZ8nHQIRbdPm2I1gP6M888I23atHHerr04f/31l/Tq1ct8ruFEqzB6sE8vwOipBXIivarUe++9J02bNnUO6X300UcmQGSmgcfxVSs9jlMdXMzff/9tAp7rftOTXOrQo+5PpUNzEyZMMFUqrfJoRclBQ6PuS61waUD89ddfxddsr9zomKW+iDQFvvTSSxe9v76IMxp/tVPkP8NSSclpu+kB4FKGhrSCYtf3zg6tbmglQC9aGbn77rtNtcC1IqJDFtWqVfPK9uljaWjQ6ooO/3iTDg05tlOrIvqxDrl16tTJXKchRpuEtSrjOoSlYUurIq5DS9pzU7Vq1Rxth/bauNIAoQ3Y2ifUunVr05ukVScdbspMREREmmOpDnF5iwZALTbozDWt6Gh1bNCgQfLaa6+ZkLt9+3YzZKVDb1ph0v2o/VJBW7nRJ6+NWI4XTFbCkJa04uLipEePHrJu3bqLNkHFx8e7XXwhksoNAB/Qg5AODdlxudTVYnUqtC/XeHFMn9ZhpayqXbu22/R0pZ/r8FRG5zLS6oi2TGio0ACjoebzzz83AcO1CqVNwRp2vvnmG7ev154aHbLJiAYz16pRZnRbtYKkfUL6mBq6tLLiS1WrVjXb6LrftJKjoy76M3bQSlK/fv3kyy+/NO0lWlFyHXXRypYWMrQJW/t3NPQFZeVGE+jy5cvdOq4zoyWtTz/91JTXdGxTE6H+kDXgaINVerQj23V80tcNxYmEGwB5jE731unYd911l/n7rNWEpUuXmqZTfRPqK3ow1aqANvx6rhOj6+5o4PAcinn00UelefPmMnz4cHOw1X4VrbRoj01m7rnnHvM1elDWISidHaSzllwrNI7hOa3q3HvvvebzHTt2yN69ezN9A6/9KVrZ0O3VY5nuv4yasrV3RYPVjBkzTL/NF198YY6h+rGvFChQwAw76ZCiNg9rU7D+bLVqpvtA6VR5HSrTWWhaVPjpp59MkHT0Oem+1zAWGhpqmqF1BMaX09Vtq9xop7Qm4a+++sqUMrNCS3A6PqsvYm1Wmzx5snlxa79ORrRJWYOQ4+KrDm0aigHkVVrZaNmypbz55pvSrl07qVevnhmW0gZjDQ6+pENfehzx9PXXX5uDqetFqwYahnSYSd9c63bqQVnX1ElvppQrPajr8UdnL2l40bDiGWwc4UaDnc7kUlrF6dy5c6ZNtPo12qek0+j1mOZZ+fEMWTfccIMJZrrPNVhqFccfk35uvPFGsxq07kOdDaUBq0iRIuZ2rezo8VbDrb4GtAqm+1hpWNMwpP1DGiw18OnwlQYdXwmx0lty0Q90yuD111/vVgbUspyWQfUJa/LLyunO9d2CpujMXgyudFhKX5AadLRM5i1bDp6Sq96cJ0ULRMryZ7M2tQ4AXOnMT30Hr+/Cs/qmL6/TpmKt6utQh74Bzk20F0grLRq0PJuYkf3fgewcv20bltJmozVr1rhdp9PddM0AnSqYlWCjYUgf4+qrrxa7OYalkljnBgD8Rmci6TDNkSNHJLfRGUxPP/00wcYGtoUbLVNpSdBzXE8XJXJcryXAcuXKOVcy1NKhdqtrA5WuiKkd4tqdrWXJ3DIV/DzDUgDgV57ryuQWeqzy1swwBNhU8IulXtcxOW3g0jHcAwcOmHE+bV7SufSu3dp2ce250ZG+S51lAAAAgiDc6KJPmX2uzWp6yY0c69xoB1NKqiXh/4QdAADgX7avcxMsHD03KimFhfwA5JxN8zyAoHntE258EG5Y6wZATjhWkc3pUv1AoDv7z2vfc0XlgB6WCmSOnhvFWjcAckJnierCZo5z/uTPn5/+PeSZis3Zs2fNa19/B7IyYzozhBsv0T9A2nejVRvCDYCccpw7L6snNQSCSeHChb1y/kjCjZerN4kpnDwTwKW9UdKl6kuWLGnO3wPkFREREZdcsXEg3Hh7rZvEFHpuAFwy/SPvrT/0QF5DQ7EvVikm3AAAYBvCjQ/WuknkFAwAANiGcONFnBkcAAD7EW58MCxFzw0AAPYh3Pik54bZUgAA2IVw44MzgyfRcwMAgG0IN14UxWwpAABsR7jxoojwCw3F9NwAAGAfwo0X0XMDAID9CDdexCJ+AADYj3Djg0X8CDcAANiHcOODRfxYoRgAAPsQbryIRfwAALAf4cYn69zQUAwAgF0IN15Ezw0AAPYj3HhRpKNyQ7gBAMA2hBtfNBQTbgAAsA3hxotY5wYAAPsRbnwRbmgoBgDANoQbL6KhGAAA+xFuvIieGwAA7Ee48cE6N6xQDACAfQg3XkRDMQAA9iPc+KTnhoZiAADsQrjxIs4tBQCA/Qg3XsQKxQAA2I9w44PZUoQbAADsQ7jxRc8Ni/gBAGAbwo0PpoJTuQEAwD6EGy+ioRgAAPsRbnyxQjGL+AEAYBvCjRdxbikAAOxHuPHJCsU0FAMAYBfCjS/OLUXlBgAA2xBufLTOjWVRvQEAwA6EGy+KCgsz/2uuSUkl3AAAYAfCjRdFhF+o3Cj6bgAAsAfhxgcNxYq+GwAA7EG48aLwUNfKDeEGAAA7EG68KCQkhLVuAACwGeHGy1ilGAAAexFuvIyTZwIAYC/Cja9OnpnMbCkAAOxAuPEyem4AALAX4caHqxQDAAD/I9x4WSTnlwIAwFaEGy/jzOAAANiLcOOrcMNUcAAAbEG48TIaigEAsBfhxkcnz6TnBgAAexBufLbODeEGAAA7EG68jIZiAADsRbjxMnpuAACwF+HGy1jEDwAAexFufNVzQ7gBAMAWhBsfrVCcxIkzAQCwBeHGZw3FVG4AALAD4cZXlRvCDQAAeTvcjBw5UkJCQmTIkCGZ3m/ixIlSq1YtiY6Olvr168u0adMkNzYU03MDAEAeDjdLliyRDz/8UBo0aJDp/RYuXCi9evWS/v37y4oVK6Rnz57msnbtWsktGJYCACCPh5vTp09Lnz595OOPP5YiRYpket/Ro0dL165d5fHHH5fatWvL8OHDpUmTJvLuu+9KbsEKxQAA5PFwM2jQIOnevbt06tTpovddtGhRmvt16dLFXJ+R8+fPS3x8vNvFP4v4MVsKAAA7hIuNJkyYIMuXLzfDUllx4MABKVWqlNt1+rlen5ERI0bICy+8IP5Czw0AAHm0crN7924ZPHiwfPXVV6Y52FeGDh0qJ0+edF70+/pShHOdG8INAAB5qnKzbNkyOXTokOmZcUhJSZF58+aZHhodTgoLC3P7mtKlS8vBgwfdrtPP9fqMREVFmYu/0FAMAEAerdx07NhR1qxZIytXrnRemjVrZpqL9WPPYKNat24ts2fPdrtu5syZ5vrcIsq5zg09NwAA5KnKTaFChaRevXpu1xUoUECKFSvmvL5v375Srlw50zejdBirffv28vrrr5smZO3ZWbp0qXz00UeSW3BuKQAA8vhsqczs2rVL9u/f7/y8TZs28vXXX5sw07BhQ5k0aZJMmTIlTUiyE8NSAADk4dlSnubMmZPp5+rmm282l9zKMVuKcAMAgD1ydeUmEDnWuWERPwAA7EG48dVUcBqKAQCwBeHGyzj9AgAA9iLceBk9NwAA2Itw47NzSxFuAACwA+HGZ1PB6bkBAMAOhBsvi/ynoZhF/AAAsAfhxoeL+FkW1RsAAPyNcOOjnhvNNSmphBsAAPyNcONlEeEXZksp+m4AAPA/wo2PhqUUa90AAOB/hBsvCw/9t3JDUzEAAP5HuPGykJAQ1roBAMBGhBsfYJViAADsQ7jx6ckzCTcAAPgb4canJ89kthQAAP5GuPEBem4AALAP4caHp2Ag3AAA4H+EGx82FDMVHAAA/yPc+ABnBgcAwD6EG582FFO5AQDA3wg3PkBDMQAA9iHc+PDkmYQbAAD8j3DjAwxLAQBgH8KND9BQDACAfQg3PsA6NwAA2Idw4wM0FAMAYB/CjQ+wiB8AAPYh3Piy54YTZwIA4HeEG582FFO5AQDA3wg3PmwoZlgKAAD/I9z4sueGdW4AAPA7wo0PMCwFAIB9CDc+QLgBAMA+hBufrnPDbCkAAPyNcOMDNBQDAGAfwo1P17kh3AAA4G+EGx/OlqLnBgAA/yPc+PTEmfTcAADgb4QbHw5Lsc4NAAD+R7jxZbhhWAoAAL8j3PgAPTcAANiHcOPTdW4INwAA+BvhxgciaCgGAMA2hBsfoKEYAAD7EG58gGEpAADsQ7jxgchwGooBALAL4canZwWn5wYAAH8j3PgA69wAAGAfwo2PG4oti+oNAAD+RLjxYUOxSk4l3AAA4E+EGx+I+KehWNFUDACAfxFufDgspZKSqdwAAOBPhBsfCA/9t3JDUzEAAP5FuPGBkJAQFvIDAMAmhBsfiXSeX4pwAwCAPxFufCQijFWKAQCwA+HG52vd0FAMAIA/EW58fgoGKjcAAPgT4cbHPTfMlgIAwL8INz7uudFTMAAAAP8h3PhIgahw8//p88l2bwoAAHkK4cZHCkVHmP9PJRBuAADwJ8KNjxSKvlC5OZWQZPemAACQp9gabsaMGSMNGjSQmJgYc2ndurVMnz49w/uPHz/erP7reomOjpbcKMYZbqjcAADgTxeOwDYpX768jBw5UqpXry6WZclnn30mPXr0kBUrVkjdunXT/RoNQZs2bXJ+rgEndw9LUbkBACDPhJtrr73W7fOXX37ZVHMWL16cYbjRMFO6dGnJ7Qr901Acf47KDQAAebLnJiUlRSZMmCBnzpwxw1MZOX36tFSsWFHi4uJMlWfdunWZPu758+clPj7e7eIPMfn+qdycp3IDAECeCjdr1qyRggULSlRUlNx7773yww8/SJ06ddK9b82aNeXTTz+VqVOnypdffimpqanSpk0b2bNnT4aPP2LECImNjXVeNBT5t6GYyg0AAP4UYmmzSzbt3r3bDA9pz4z666+/5OuvvzahZODAgdl6rMTERNm1a5ecPHlSJk2aJGPHjpW5c+dmGHBcJSUlSe3ataVXr14yfPjwDCs3enHQyo0GHP1+2r/jKzPXH5QBny+VhnGFZeqgtj77PgAA5AXx8fGmSJGV43eOKje9e/eW33//3Xx84MABueqqq0zAeeaZZ+TFF1/M1mNFRkZKtWrVpGnTpqbK0rBhQxk9enSWvjYiIkIaN24sW7duzfA+WhFyzMZyXPyBqeAAANgjR+Fm7dq10qJFC/Pxd999J/Xq1ZOFCxfKV199ZaZrXwodanKttFysT0eHtcqUKSO5DcNSAAAE0GwpHQ7SioiaNWuWXHfddebjWrVqyf79+7P8OEOHDpVu3bpJhQoV5NSpU2Zoa86cOTJjxgxze9++faVcuXKmoqO0KtSqVStT6Tlx4oSMGjVKdu7cKXfffbfkNjFMBQcAIHDCjU7T/uCDD6R79+4yc+ZMZ7/Lvn37pFixYll+nEOHDpkAo4FIx9F0QT8NNjrMpbQXJzT03+LS8ePHZcCAAWYorEiRImYoSytGWenPsSvcJCSlmpNnOs4SDgAAcmFDsVZXrr/+etPc069fPzODST399NOyceNGmTx5sgRDQ9KlSEm1pOrT08zHy/7TSYoVvFDpAgAAvj1+56hy06FDBzly5Ij5RlpBcdCZUvnz58/JQwadsNAQKRAZJmcSU0zfDeEGAAD/yNFYyblz50zTryPYaN/LW2+9ZU6LULJkSW9vY8DizOAAAARIuNGVgT///HPzsTb2tmzZUl5//XXp2bOnOX0CLmA6OAAAARJuli9fLpdffrn5WBfeK1WqlKneaOB5++23vb2NAR9u4qncAACQu8PN2bNnpVChQubjX3/9VW644QYzq0mnaWvIwQWcGRwAgAAJN7rOzJQpU8xpGHTqdufOnZ1Tu/21AnAgcJw8k8oNAAC5PNw899xz8thjj0mlSpXMSsWOs3hrFUdPh4AL6LkBAMD/cjQV/KabbpLLLrvMLL6n54Jy6Nixo1n/BhdwCgYAAAIk3KjSpUuby549e8zneoZwx/mmcAGnYAAAIECGpfTklnqeJ10psGLFiuZSuHBhcxoGvQ0XULkBACBAKjfPPPOMfPLJJzJy5Ehp27atuW7+/PkybNgwSUhIkJdfftnb2xmQCDcAAARIuPnss89k7NixzrOBKz3ppZ7B+/777yfc/KNQlGO2FMNSAADk6mGpY8eOSa1atdJcr9fpbXCfCk7lBgCAXB5udIbUu+++m+Z6vU4rOLiAqeAAAATIsNSrr74q3bt3l1mzZjnXuFm0aJFZ1G/atGne3saAxekXAAAIkMpN+/btZfPmzWZNGz1xpl70FAzr1q2TL774wvtbGeCnX0hMTpXzySl2bw4AAHlCiGVZlrcebNWqVdKkSRNJScm9B/L4+Hgzhf3kyZM+P1VESqolVZ++UMla+p9OUrxglE+/HwAAwSo7x+8cVW6QNWGhIVIwiungAAD4E+HGx2IcfTfnaCoGAMAfCDd+6ruhcgMAQC6cLaVNw5nRxmK4Yzo4AAC5ONxoI8/Fbu/bt++lblNQ4RQMAADk4nAzbtw4321JkA9LcQoGAAD8g54bH6NyAwCAfxFufIyGYgAA/Itw42Mx+RynYGBYCgAAfyDc+K1yQ7gBAMAfCDd+WsSPYSkAAPyDcONjNBQDAOBfhBsfY1gKAAD/Itz4GJUbAAD8i3DjYzEuU8Ety7J7cwAACHqEGz9VbhJTUuV8cqrdmwMAQNAj3PhYgchwCQm58DFr3QAA4HuEGx8LDQ2RglH03QAA4C+EGz/33QAAAN8i3Ph1xhTDUgAA+Brhxg+YDg4AgP8Qbvw6LEXlBgAAXyPc+LFyE3+Oyg0AAL5GuPEDTsEAAID/EG78Wbmh5wYAAJ8j3Pi1ckO4AQDA1wg3fsBUcAAA/Idw4wdMBQcAwH8IN35QtECk+f/omfN2bwoAAEGPcOMH5YvkN//vPnZOLMuye3MAAAhqhBs/KFs42pwZ/FxSihw9k2j35gAAENQIN34QFR4mpWOizce7j521e3MAAAhqhBs/iXMMTR0/Z/emAAAQ1Ag3flK+aD7zP5UbAAB8i3Dj58rNnuOEGwAAfIlw4ydxRf+dMQUAAHyHcOMncUX+GZaicgMAgE8Rbvxcudl34pykpLLWDQAAvkK48ZNSMdESERYiSSmWHIhPsHtzAAAIWoQbPwkLDZFyhS8MTe06ytAUAAC+Qrixo6mYvhsAAHyGcGPDOab2sNYNAAA+Q7jxozjHQn6sUgwAgM8Qbuw4BQOVGwAAfIZw40f03AAA4HuEGxsW8jsYf14SklLs3hwAAIIS4caPihaIlPyRYebjvSfouwEAIOjCzZgxY6RBgwYSExNjLq1bt5bp06dn+jUTJ06UWrVqSXR0tNSvX1+mTZsmgSIkJIS+GwAAgjnclC9fXkaOHCnLli2TpUuXypVXXik9evSQdevWpXv/hQsXSq9evaR///6yYsUK6dmzp7msXbtWAgUzpgAA8K0Qy7Jy1YmOihYtKqNGjTIBxtOtt94qZ86ckZ9++sl5XatWraRRo0bywQcfZOnx4+PjJTY2Vk6ePGmqRf427Md1Mn7hDrmnXRUZenVtv39/AAACUXaO37mm5yYlJUUmTJhgwosOT6Vn0aJF0qlTJ7frunTpYq4PFBWYMQUAgE+Fi83WrFljwkxCQoIULFhQfvjhB6lTp0669z1w4ICUKlXK7Tr9XK/PyPnz583FNfnliungxxiWAgDAF2yv3NSsWVNWrlwpf/75p9x3333Sr18/Wb9+vdcef8SIEaaM5bjExcVJ7ui5oXIDAEBQhpvIyEipVq2aNG3a1ASRhg0byujRo9O9b+nSpeXgwYNu1+nnen1Ghg4dasbnHJfdu3eLnRyzpU6cTZJTCUm2bgsAAMHI9nDjKTU11W0YyZUOX82ePdvtupkzZ2bYo6OioqKcU80dFzsViAo3690ohqYAAAiynhutqnTr1k0qVKggp06dkq+//lrmzJkjM2bMMLf37dtXypUrZyo6avDgwdK+fXt5/fXXpXv37qYBWaeQf/TRRxJItO/m2JlE2XbktNQpa2/YAgAg2NhauTl06JAJMNp307FjR1myZIkJNldddZW5fdeuXbJ//37n/du0aWMCkIYZHb6aNGmSTJkyRerVqyeBpFH5WPP/0h3H7d4UAACCTq5b58bX7F7nRv1v1T558JsVUq9cjPz04OW2bAMAAIEkINe5yUuaVypq/l+/L56mYgAAvIxwY4PSsdFmSniqJbJi1wm7NwcAgKBCuLFJ84oXqjdLdhyze1MAAAgqhBubNK9MuAEAwBcINzZpXqmI+X/l7hOSmJxq9+YAABA0CDc2qVqioBTJHyEJSamydt9JuzcHAICgQbixSUhIiDT7Z9bUUoamAADwGsJNLhia+ms7i/kBAOAthJtcsN7Nsp3HJFXnhQMAgEtGuLFR3bKxEh0RKsfPJsnfh0/bvTkAAAQFwo2NIsNDpVFcYfPxEs4zBQCAVxBubNbin6Ep1rsBAMA7CDc2a1G5mPl/9oaDEs95pgAAuGSEG5u1rlpMqpUsKPEJyTJu/g67NwcAgIBHuLFZWGiIDO5Y3Xw8dv42OXmO6g0AAJeCcJMLdK9fRmqUKiinEpLlk/nb7d4cAAACGuEmFwgNDZEhnWqYjz+dv11OnE20e5MAAAhYhJtcomvd0lKrdCE5fT5ZPv5jm92bAwBAwCLc5KLqzcNXXajejF+wQ46doXoDAEBOEG5ykc51SkndsjFyJjFFxszZavfmAAAQkAg3uexM4Y91qWk+/mzRTtl34pzdmwQAQMAh3OQyHWqUkBaVi0picqqMnrXF7s0BACDgEG5yYfXmya4XqjcTl+2WrYc4oSYAANlBuMmFmlYsKp1ql5JUS+SNmZvs3hwAAAIK4SaXerxLTQkJEZm25oCs2n3C7s0BACBgEG5yqZqlC8n1jcuZj0fNoHoDAEBWEW5ysYc71ZCIsBCZv/WIzN9yxO7NAQAgIBBucrG4ovmlT8uK5uNXZ2wUy7Ls3iQAAHI9wk0u98CV1SR/ZJis3nNSfll7wO7NAQAg1yPc5HLFC0bJ3ZdXMR+P+nWTJKek2r1JAADkaoSbADDg8spSJH+EbDt8Rr5fvsfuzQEAIFcj3ASAQtERMuiKaubjt2ZtkYSkFLs3CQCAXItwEyD+r1VFKRsbLftPJsgn87fbvTkAAORahJsAER0RJk90rWU+fve3rZxUEwCADBBuAkiPRmWleaUici4pRV7+eYPdmwMAQK5EuAmwk2q+cF09CQ0R+XnNflmwlYX9AADwRLgJMHXKxsjtrS4s7Pf8j+skMTlV9p88Jx/O/VuemLRKDp86b/cmAgBgq3B7vz1y4pHONeWn1ftl66HT0nX0PNl+5Iw4Fi/OHxkuw66ra/cmAgBgGyo3ASg2X4Q8+U9zsa59o8GmRqmC5vOfVu9joT8AQJ5G5SZA3dS0vJw8lySpliXXNCwrJQtFSctXZsuR04my4O+j0r5GCbs3EQAAW1C5CVChoSEyoF0Vuad9VSlXOJ9EhIVK9/plzG1TV+y1e/MAALAN4SaI9Gxczvz/y7oDcjYx2e7NAQDAFoSbINKkQmGpUDS/nE1MkZnrD9q9OQAA2IJwE2Tr4OhCf2rqyn12bw4AALYg3ASZHo0uDE3N23xYjp1JtHtzAADwO8JNkKlWsqDUKxcjyamW/Lya6g0AIO8h3AShnv9UbyYt2yOpqf+s7gcAQB5BuAlC1zUsK5FhobJqz0l57ddNdm8OAAB+RbgJQiVjomXEDfXNx+/P+Vu+W7rb7k0CAMBvCDdB6sam5eXBK6uZj5+evEYWcgZxAEAeQbgJYo9cVUOubVjWNBff++UyWbbzuNvtlmXJF4t2yPXvL5Dlu9xvAwAgUBFugnzdm1E3NZCmFYtIfEKy3PzBQhkxbYMkJKWYaeIDPl8qz05dJyt2nZBXft5g9+YCAOAVIZa+fc9D4uPjJTY2Vk6ePCkxMTGSF+gJNl/4cZ1M/uecU1VKFJDTCcly6NR503isJ9/U6s60hy6XOmXzxj4BAATv8ZvKTR4Qmy9C3ri1kYzt28ycPXzb4TMm2OiaOFMGtZUu9Uqb+32xeKfdmwoAwCULv/SHQKDoVKeUNK9UVN6avVmiwsNkcMfqki8yTPq2qig/r94vU1bslae61TJhCACAQEW4yWNi80fI89fWdbuuReWiUrNUIdl08JR8v2yP3HVZZdu2DwCAS8WwFEzj8f+1rmg+/nLxTjOLCgCAQEW4gXF943JSMCpcth05Iwu2HrV7cwAAyDGGpWBosLmhSTn5fNFOeXXGRpm5vrAcOZMo5xJT5Or6ZUz4CQsNSfdrdf2ct2dvkeNnE+WedlWlW73SEprBfQEA8DWmgsNpy8FTctWb89K9TXtynuhaU66sVdIMY+laORv2x8vo2VtkzqbDbvetVbqQPNSxulQqVkBOJSTJqYRkKV4oShrFFfbTMwEA5OXjN+EGbrTnZvWeE1K8YJS5nD6fLJ/M327WylHFCkTKmcRkSUhKdX6NVnRualJeSsVGy7j52+XU+eR0H/u93k2ke4MyfnsuAIDgQbjJBOEm+06eTZIxc/+WcQu2y/nkf0ONLgB4TYMyF6o0xQs47zt2/jaZsGS36CsrJjpcJETM2jr5IsJk0n2tpW7ZWBufDQAgEBFuMkG4yTk9ZcPe4+ekcP4Ic9E+HR2iupiUVEvuGPeX/LHliJQrnE9+fKCtFCsY5ZdtBgAEB1Yohk8ULRAp9cvHSlzR/FIoOiJLwcYxbPVuryZSqVh+2XvinNz/1XJJSvm3AgQAgDfZGm5GjBghzZs3l0KFCknJkiWlZ8+esmnTpky/Zvz48eag6nqJjo722zYj54sHju3XzFR7/tx+zJy0c/exs3ZvFgAgCNkabubOnSuDBg2SxYsXy8yZMyUpKUk6d+4sZ86cyfTrtBy1f/9+52XnTs6JFAiqlSwko29rJBFhIWaGVac35so7s7fIkdPn5X+r9slD36yQZi/NkmE/rmMhQQBAjuWqnpvDhw+bCo6Gnnbt2mVYuRkyZIicOHEiR9+DnpvcMeX8uanrZNG2jBcLvPuyyvJM99pZHvoCAAS3+EDtudENVkWLFs30fqdPn5aKFStKXFyc9OjRQ9atW+enLYQ3VC9VSL4e0FLe7tXYnKVcVS1RQO5pX0Ue71LTfD52/nZ597etNm8pACAQ5ZrKTWpqqlx33XWmIjN//vwM77do0SLZsmWLNGjQwISh1157TebNm2cCTvny5dPc//z58+bimvw0FFG5yR0Sk1PlxLlEKVno376pT+dvlxd/Wm8+vq9DVQkLCZGVu0/I+v3xZur5iz3q2bjFAAA7BORU8Pvuu0+mT59ugk16ISUj2qdTu3Zt6dWrlwwfPjzN7cOGDZMXXnghzfWEm9xt9Kwt8uaszenfdlsj6dGoXIZfe/xMoqzYfVwuq1ZCIsNzVXESAJBXws0DDzwgU6dONRWYypUrZ/vrb775ZgkPD5dvvvkmzW1UbgKTviz11A6/rjsodcvGSOMKRWTrodPy6YLtUig6XH4Z0s6smePpwMkEufWjRbLz6Fkz9fypbrWlS91S9O4AQIALmHCj3/rBBx+UH374QebMmSPVq1fP9mOkpKRI3bp15eqrr5Y33njjovenoThwJaekyk0fLDJDVK2qFJWv727ldoLOQ6cS5LYPF5szm7tqUamo3NYizpxOoljBSBOKCuePtOEZAAByKjvHb1vPCq7TwL/++mtTtdG1bg4cOGCu143Pl+/Cu/K+fftKuXLlzJo46sUXX5RWrVpJtWrVTH/OqFGjzFTwu+++286nAj8IDwuVt25tJFe//Ycs3nbMnOZhYLuq5jadTt7n4z9NsNHw8ukdzeWn1fvk4z+2yV87jpmL83FCQ+T56+rK7a0q2vhsAAC+Ymu4GTNmjPm/Q4cObtePGzdO7rjjDvPxrl27JDT0376J48ePy4ABA0wQKlKkiDRt2lQWLlwoderU8fPWww56DqvnrqkjT01eIyOnb5Sxf2yXgtHh5szjh0+dl9Ix0WYmVsViBaRm6ZrSu2UF+XDuNtly6JQcPZ1oQtCR04ny7JS1JuT0alHB7TQR6/fFy/ajZ2TnkTOy4+hZc5qJjrVKSvPKRSUiLFRSUy3ZdPCULN52VE+ZJa2qFjNnTGfYCwByj1zRc+NPDEsFPn3JPjpxlUxevtft+hKFouTbga2kSomCmX7tyz9vMFPNNY+8emMD05w8ZcVec3LQ7R5DWg7a59MorrAJP0fPJLrdVrxgpLSpWlwGXF7FnJ4CAJCHe27sQLgJHnuOn5WT55LkdEKynE1KkSYVikhsvoiLfp2+5HUV5M8W7TQBR9faORh/oem8UFS41C4TIxWL5ZcKRfPLrmNn5beNh9wCjZ7dXCs5+jhLdhyThKQL58nS9p++rSvJo51rmHNvAQC8h3CTCcINlL7sn5myVr7+c5ez6jPg8srSu2VFc/4rVzpcpU3Ma/eeNMFHKziOKebnk1Nk5a4T8tWfu+THVfvMdTo09nT32nJ1vdKmT8hzNpcGqlIxnA8NALKDcJMJwg0ctH/mi8U7JSo8VHo2LifREWGX9HjzNh+WZ6euNdPQVamYKLm1WZxc07CsLN1xXKas3Ct/bT9mwo1e/2jnmiZUZcXp88kmXG05dNqcvmLP8XNyRc0S0qdlRbcZYwAQrAg3mSDcwJcSklJMA/MXi3eYxmVPGmwcv3FaIXrgympyZ9tKEhWeNlhpf8/vmw7J3M2HZfnO45KcmvZXtWXlovLazQ0lrmh+8/mphCRZtfukGVZzXAcAwYBwkwnCDfx1Wolf1x+QrxbvMicIrVW6kKkOXdewrOw7cc6cXmL1ngvnUqtesqCMurmhGe5SR0+fl2H/W2/OlO5Kp7jXLF3I3D9fZJh8NG+bnE1MkfyRYXJLszhZt++kLN91wgyjqWYVi8j1TcrJNfXLSmz+zHuA9M+A9hcVLRBJvxCAXIlwkwnCDfwtKSXVTCP3HBL7YcVeGTF9g6nw6MiSrtlTs3RBGf7TBjl25sJ1V9YqJe1rFJd2NUqY6e2udh49I49PXO22ho8qGxst++MTnBWi6IhQubd9VXNxHXrTbVix+4TMWHdAfll7wIQbrSbprK/+l1dO03sEAHYi3GSCcIPcRM+DNex/62TqSvcqjVZ6Xr2pgTQof6GakxGt0nz91y5ZtfuEmS12efXiZjhKG5d/XLXXTJffeOCUs/Lzn+61TWXml3X7zaktDp06n+6QWbECkSbgxBXJb3qStIFaq0ZlYtOe8gIA/IFwkwnCDXIjrZ4888NaOXkuUR64oro5G7o3Tvqpv97T1hyQl39eL/tOJqS5Xae+X1m7pHStW1our1FCft94SN6YuTnd9X40/LStWlxualpeutQtbYbGstOLpI874a9d5mu118izEpUTunDjuAXbpVu9MqwxBAS5eMJNxgg3yK00AGgPjfa9eNvZxGT5YM7f8tEf26RAZLh0rltKOtctLW2qFkvTzKzDaJOW7ZGZ6w+ar9P+Id0uRwVIFYgMk7bVLgyXta9RItPm5TV7Tsoj3600M70cwkJD5PrG5eTBi4QcrUxpb9En87dL7xZx8vBVNZyrQccnJMmtHy6WDfvjzRDaNwNaeSXg6J9ErWgVyR/JWeWBXIRwkwnCDfIy7bOx/gkX2bX72FkzzDVp+W7Zfeyc2211ysTIHW0rmYZp7evRPysaZr5ftscEE53ppScuHdypuszecFDmbDpsvk7Dw9ButaRf60ppprTr93v0u1VuPUW3NY+Tl3rWM4/X79O/5M/t/95WJH+ETLy3tVQrWShHw4M6K23+1iOycOsRU+XqXKeUfNS3WZr7Ov5kZvWUGzqDTZcA0OdRv1ysXNOgrNhNA6E+55ZViuXotQDYgXCTCcINcOkBac3ek2Zdn3lbDrvN0NJenavqlDIrN/99+N+hre71y8jwnvWcVSldFHHUjI2yYOtR87n2CumUdj2Xl06B19Dy7m9bzfo+WiXSWV+64KJ+my51S0mIhMgv6w6Yio2eJFWH3VbtOWkWUPzkjmbmMaat2W8ep2H5wvJYlxrStGLRNJUyHYabvGKvzNl0SJJS0v4pnPf4FVKh2L9Vqf0nz0mPdxdIvXKx8n6fJpmujaTP8cX/rTPb5dg/GiSmD75capTKfgDzBl0r6c2Zm2X2xkPmc10y4J52VeWGJpe+zhPga4SbTBBuAO86cTZRvl2yWz5buMOtrycyLFTa1SguNzeLM1UQz0qH/un5cvFOeennDXI+OdWEGA0YiSkXTmfhmM7+xi2NTMD4Ze1+eeiblc7b9fHH39XcnNdLqxC3fLjIbejL05W1Sprp+JsPnJIVu4+blaXPJKa4NXHrEJsOt30w929Z+PdReejKavJI55rO+7wybYMZJlMdapaQD29vmu4aRRqcOr4+V/aeuFDhqlQsv5kxp9unQe7zu1p4/WSrGjq3HTljGsdd+6F0Py/fdVw+mLvNDDUqLdYUiLpwwlmli0mOuqmBdKhZ0qvbBHgT4SYThBvAN5JTdG2fg/LntqPSpGIREyaysmbO1kOnZMi3K2Xt3njzuVZ3GscVNuFBT4fhOmyy8O8jMvDzZXImMVne691Erq5fxnmbzhDTgKNT2vVM7Xpbm2rFZNLSPTJp+R5n9cRVmdhoc+JU7f/R2WAOusbQg9+sMNPq/3jySrMNZ84nS6sRs00g0E1yVJHe7d0kzVT/937fKqNmbDJf/+09rU1Pkk7dv+qNeSacfdKvmXSsXUq8ZdnO4/LC/9aZtZP03Ge67/X5J6akyLgFO5xrKul26/N9qGN1s4L2N3/tlrF/bJP9JxNM1e23xzpk6fxsgB0IN5kg3AC5jzYtr9pzQkoVipa4ovkyrWocOpUg8eeSpVrJtGd/12EsreJ4NjhvO3zaDHNpU3TdsjHSqEJhs2hirdIx6facaOWl5SuzzYlZtcqijdOfL9ohz01dJ5WLF5Bh19WVAZ8tNUFF+4zevLWR83F0BleHUb+bqtBbtzYy1SIHXddIV7DWx5gxpN1FG5Y1MP68Zr+EhoSYoT3PvqRD8Qky8peNphfKczq/K/0+PRuVlYHtqqTpSdLzo109+g8zjNj/ssry7DV1JCvVus8X7ZTvl+/5ZyiytGlS15PNrth1Qv7Yctj83zAuVh68sjpDXvAKwk0mCDcAsuL5qWvNmeOvaVBG3r6tsXR8Y66ZIv9ij7rm7O+z1h+Ue79cZpqb9Txfo3s1lpjoCBk6eY1889cuaVg+Vn64v61bINHm4itemytHTp83aw7dfXmVdL+3Vpm0evTWrM2y459zldUrFyPPXVNXWlQuanp/NCTp99EhPXVz0/LyeNeapoKlgUgXZtTH0SbsXi0qSLGCGZ/HTJuptUE7PDREfhnSLt3gqPT7jv1ju/m+OoPOkw4Vug4rqhqlCspbtzaWOmX5e5sd+rObvHyPVC9VyLl6eV4XT7jJGOEGQFabb695Z745YI+8sb488t0qKRQdLouHdjT9Ko71iQZPWCEJSakmEDzRpaYJPDpkpTO3mldyb2JW3y7ZJU9+v8Y8Vuc6pWXvibOmNyc5xTJDQhqQNPxo/4xjmC4pOVVOnb/QH9O0YhFZveeEswG6SYXC8ty1dS/5ANh//BLTaKzDgePvbJFm6FB7dqau3Ov8vrXLxMiAyyubCtWv6w7I4m1HzW26vZdVK24qZB//sd08l4iwEHOi2IGXV0n3RK8XlhtINo91LjHZLA/gOdR3MVptU55VonOJKfL8j2vNjDX9PokpllmY8vEuNd2qarmJHpY1JE9YstsEzhE31De9axk976/+3CXLdh6TJ7vW8sr6UbkV4SYThBsAWaXDNev3x5tTWGiA0WGdp6+u7XYfDRoDPl8qB+P/Xe356vql5f0+TTN8R37du/Nl3b4LPUYZiYkOl3vaV5U72lSScy6LIDpah1pVKWqGfHStIm80J+vQXZe35pmAMu6O5mZGmFZ0tJF71oYLs6sc31dP5aHN167fV9cd0iG5ysUKOAOMniftqclrnI3MtzaLk1duqO8cwtM1lbRXyDETzkFncX3Zv6Xb8KIeqrQipffrWKukM2DqUOQnf2yXj//YZhqp3+3V2ExxVxqY+o9fas7v5km3QXufctJErUN5h+LPm9l9F+sr06FNrfjpOeEc25wZfZ7aZK9LKLh6uFMNeahjNec+d1R23pq1xdm4rk3xUwa1dQt4OoSoSy+0rFLUbyuML9h6xGuvS1eEm0wQbgBk1fgF281JTJUej+c9cYWUL5J2wcKD8Qky8POlZtq3VnpmPtIu03fQGiT03bZWOcoXyWdmOGlfjB4ItZ8oOTXVHHQ9m3t1fZofV+0zB/dm6VSFLpVjNpgjzDnoMUpnvGmoaVyhSLYeUw8xeoqQZ6esNcFEe3902r8Gtvu/Wi5/bDnivK+jB0krLLpPJgxsZQKOVl+e/H61ee5Km6Y71SklNUoWlPELd8jRM4luoUXXTrqtRQW5a/wSU7HRmXh6clrd1/o9Ppq7zSwBoNdrw7cGOd3O3zYeMjP/NDBpeEi1LDPsqDPRUixLkpItU4lyfD/djg9ub2qCniutZH23dLds2H/KGTxaVykmXw9oedEDvobYt2dvMR+/emMD2XH0jLw/52/zufZdFSsYKTuPnpUtB085Zydqc7iGUj0nXe+WFeSV6+s7hxH7jP1Tth0+Y36GWkns0aisXF2vjBTJxmKhui90iFRf59qQrs8lvQqc0gVAH5u4Sq5tWFZG39oow/vlBOEmE4QbAFllFrp7ZbbpI8msGuMYHvh0wXYzU8ubM6H8ybUnyNHn06HGhSn0GfXhZNXPq/ebITwNCxqUdFabNnhrQBh9WyO5olZJMxSlPUO9Pl5sqh0acHSK+vCfN5hgp8GlbOHoNItIaoP2kE7VTThxnKdNG501hOgpRj7r38Kce81Bw9Md4/4y0/1LFoqS/1xTRz6dv92sTZRVjhlzGgS/6N/SBAc9nGo4HDF9o9t9HY3e7/Zu7LaIo95fw52eG27fyXOy48hZZ5Vp2LV15I62lc3HXyzeaXrAPCf8afi9v0NV6demkllbqu+nf5nv83avxtKofGHpPXax7Dl+zqwHpYHNQQN413ql5bYWcSaoZBa4NNg8PmmVs2ld6c9F10a6s21ltxXVddZer48Wm98XXX1chyK9iXCTCcINgOwY9uM6825ee2j0HX6w01Cxbt9J07hcslC0Vx9bh6cGfbXc2XSs6+t82q95mtNmaIVAD5KOviNVvGCkmXbfsnJRM7VdqzgaeLo3KCO3NIszwUgPZzqLa/hP602I0qE9DR4N0+lH0mG0m8cskk0H/z2tiAYVbRbXfiENUmEhIRf+Dw0xFQjtfylWIEpKx0ZLgagwueeLZWbIRwPUVwNammDlGE7q07KCmUmnM/LGLdxuho80FMx+tL1z2OjDuX+nCUJK+4EGXVHN7br5W46Yk+FqY3jFovnN2k96Yl0NLg6vzdgk7/6+1VSkCkaHm6FSXWPpqwGtROOLNqlPWXlhvzno7RosW1UpJq0qF5PY/BHuwWbiKlPl0n2gywvogpeO9ZG0YqTN4q2rFpN9J87Jde8uMMFYl0gY06epV6s25mdGuMkY4QZAduifSP0jH57NBlekTw+OGnB0uGlsv2bpDvM5prnf9vFiM6SiM890+CerPSNaQZi4dLcJKpnN0tID8k1jFsqR0xeGc+6/omq2Ap0Ol/Ub95cZ+tKDv2MtpWeuri0D2lVxu9+Vr88x6wk91rmGPHDlhdOQ3P35UlNp0aqgrlpdtnA+cyqTnIZoXTqg98d/Ok9ZojPVtHepZEx0mvO96VDhjyv3ui1kqQUc7Q2qWzbWbIcuz/DT6v3mub3Tq7EJN1qh1JCqw1S6fIB+zQNXVDNVM+0j076f7+9rk6X+ouwi3GSCcAMA9tJG3+jwsIu+sz95Nkn+3H7UrDPkq7VydFsuVHkicjyUp30tWk3Syo72E6U3C0tnmg2esFLyR4aZla3v+3K5GSrSUPVyz3pea77VYb0+YxebqpgOo2Z2Il5dmPL3TYfMTLdFfx91O2WKQ/g/waaby4KZjv2mVc3vlu5xXqdDgVMfaJthYL1UhJtMEG4AAN7uzRo7f5u0r1HSDOelRw+1N45ZaM7F5qBDbF/e3TLb094vxrKsHIUlXSBTqzp6bjadJaj9OrqatZ4vLiMa2p6evEaSUi35+u6WPml0dyDcZIJwAwCwgzYO93hvgflYV+KeOuiyTCsrgRTuEpJTfD7VPDvHbwaRAQDwA21s1un0VUoUkLF9mwdFsFE6rdxfa+hkFZUbAACQ61G5AQAAeRbhBgAABBXCDQAACCqEGwAAEFQINwAAIKgQbgAAQFAh3AAAgKBCuAEAAEGFcAMAAIIK4QYAAAQVwg0AAAgqhBsAABBUCDcAACCoEG4AAEBQCZc8xrIs56nTAQBAYHActx3H8czkuXBz6tQp839cXJzdmwIAAHJwHI+Njc30PiFWViJQEElNTZV9+/ZJoUKFJCQk5JJTpIak3bt3S0xMjNe2MRiwb9LHfskY+yZ97Jf0sV/y3r6xLMsEm7Jly0poaOZdNXmucqM7pHz58l59TH3xBNMLyJvYN+ljv2SMfZM+9kv62C95a9/EXqRi40BDMQAACCqEGwAAEFQIN5cgKipKnn/+efM/3LFv0sd+yRj7Jn3sl/SxXzIWxb7Jew3FAAAguFG5AQAAQYVwAwAAggrhBgAABBXCDQAACCqEm0vw3nvvSaVKlSQ6Olpatmwpf/31lwSzYcOGmVWdXS+1atVy3p6QkCCDBg2SYsWKScGCBeXGG2+UgwcPuj3Grl27pHv37pI/f34pWbKkPP7445KcnCyBZN68eXLttdeaVTJ1H0yZMsXtdu3Rf+6556RMmTKSL18+6dSpk2zZssXtPseOHZM+ffqYBbYKFy4s/fv3l9OnT7vdZ/Xq1XL55Zeb15euNvrqq69KoO+bO+64I81rqGvXrkG9b0aMGCHNmzc3q6Lra75nz56yadMmt/t463dnzpw50qRJEzNLplq1ajJ+/HjJzbKybzp06JDmNXPvvfcG9b4ZM2aMNGjQwLkIX+vWrWX69OmS118v2aKzpZB9EyZMsCIjI61PP/3UWrdunTVgwACrcOHC1sGDB61g9fzzz1t169a19u/f77wcPnzYefu9995rxcXFWbNnz7aWLl1qtWrVymrTpo3z9uTkZKtevXpWp06drBUrVljTpk2zihcvbg0dOtQKJLrdzzzzjDV58mSdaWj98MMPbrePHDnSio2NtaZMmWKtWrXKuu6666zKlStb586dc96na9euVsOGDa3Fixdbf/zxh1WtWjWrV69ezttPnjxplSpVyurTp4+1du1a65tvvrHy5ctnffjhh1Yg75t+/fqZ5+76Gjp27JjbfYJt33Tp0sUaN26c2daVK1daV199tVWhQgXr9OnTXv3d2bZtm5U/f37rkUcesdavX2+98847VlhYmPXLL79YuVVW9k379u3N31fX14y+BoJ53/z444/Wzz//bG3evNnatGmT9fTTT1sRERFmP+Xl10t2EG5yqEWLFtagQYOcn6ekpFhly5a1RowYYQVzuNGDTnpOnDhhfvkmTpzovG7Dhg3mALdo0SLzuf6ChYaGWgcOHHDeZ8yYMVZMTIx1/vx5KxB5HsBTU1Ot0qVLW6NGjXLbN1FRUeYgrPQPiX7dkiVLnPeZPn26FRISYu3du9d8/v7771tFihRx2y9PPvmkVbNmTStQZBRuevTokeHX5IV9c+jQIfMc586d69XfnSeeeMK8+XB16623mgARKDz3jSPcDB48OMOvySv7Rl/zY8eO5fWSRQxL5UBiYqIsW7bMDDe4nrNKP1+0aJEEMx1e0SGHKlWqmKEDLX0q3R9JSUlu+0SHrCpUqODcJ/p//fr1pVSpUs77dOnSxZzkbd26dRIMtm/fLgcOHHDbD3ouFB22dN0POtzSrFkz5330/voa+vPPP533adeunURGRrrtKy3ZHz9+XAKZlsK1TF6zZk2577775OjRo87b8sK+OXnypPm/aNGiXv3d0fu4PobjPoH0N8lz3zh89dVXUrx4calXr54MHTpUzp4967wt2PdNSkqKTJgwQc6cOWOGp3i9ZE2eO3GmNxw5csS84FxfOEo/37hxowQrPUDrmKwelPbv3y8vvPCC6XtYu3atOaDrwUYPTJ77RG9T+n96+8xxWzBwPI/0nqfrftCDu6vw8HDzB931PpUrV07zGI7bihQpIoFI+2tuuOEG89z+/vtvefrpp6Vbt27mD2pYWFjQ75vU1FQZMmSItG3b1hyolbd+dzK6jx7Qzp07Z/q/crP09o3q3bu3VKxY0byp0l6rJ5980gTZyZMnB/W+WbNmjQkz2l+jfTU//PCD1KlTR1auXMnrJQsIN8gyPQg5aLObhh39o/Pdd98F/C8C/OO2225zfqzvLPV1VLVqVVPN6dixowQ7bQLVNwPz58+3e1NynYz2zcCBA91eM9qor68VDcf62glW+iZSg4xWsyZNmiT9+vWTuXPn2r1ZAYNhqRzQ8qi+y/TsTtfPS5cuLXmFvnOoUaOGbN261TxvHa47ceJEhvtE/09vnzluCwaO55HZa0P/P3TokNvtOotBZwnlpX2ldHhTf5/0NRTs++aBBx6Qn376SX7//XcpX76883pv/e5kdB+dbZPb33xktG/So2+qlOtrJhj3jVZndAZT06ZNzayyhg0byujRo3m9ZBHhJocvOn3BzZ49262kqp9rGTGv0Om5+u5J30np/oiIiHDbJ1o61p4cxz7R/7XU6nrwmjlzpvll0nJrMNDhEv2j4boftMyr/SKu+0H/MOnYucNvv/1mXkOOP9x6H51WrWPrrvtK383l5mGX7NqzZ4/pudHXULDuG+2t1oO3Divoc/EcUvPW747ex/UxHPfJzX+TLrZv0qPVDOX6mgnGfeNJfwfOnz+fp18v2ZLVzmOknQquM2DGjx9vZngMHDjQTAV37U4PNo8++qg1Z84ca/v27daCBQvMNEOdXqgzHBzTE3Ua52+//WamJ7Zu3dpcPKcndu7c2Uz71CmHJUqUCLip4KdOnTLTK/Wiv0JvvPGG+Xjnzp3OqeD6Wpg6daq1evVqMzsovangjRs3tv78809r/vz5VvXq1d2mO+uMCJ3ufPvtt5vpn/p602mbuXW6c1b2jd722GOPmRkd+hqaNWuW1aRJE/PcExISgnbf3HfffWZpAP3dcZ3OfPbsWed9vPG745ja+/jjj5vZM++9916un9p7sX2zdetW68UXXzT7RF8z+jtVpUoVq127dkG9b5566ikzY0yfs/4N0c91xuCvv/6ap18v2UG4uQS6LoC+wHS9G50arutyBDOdJlimTBnzfMuVK2c+1z8+Dnrwvv/++82URf2luf76680fKlc7duywunXrZtYl0WCkgSkpKckKJL///rs5cHtedJqzYzr4s88+aw7AGoA7duxo1qpwdfToUXPALliwoJmeeeedd5qDvytdI+eyyy4zj6H7W0NTIO8bPWDpH1v9I6tTWStWrGjWL/F8QxBs+ya9/aEXXd/F2787uv8bNWpkfkc1BLh+j0DcN7t27TJBpmjRouZnrWse6cHYdZ2bYNw3d911l/n90G3V3xf9G+IINnn59ZIdIfpP9mo9AAAAuRc9NwAAIKgQbgAAQFAh3AAAgKBCuAEAAEGFcAMAAIIK4QYAAAQVwg0AAAgqhBsAtqpUqZK89dZbdm8GgCBCuAGQJSEhIZlehg0blqPHXbJkiduZn/3p7NmzMnToUHN26ejoaClRooS0b99epk6d6rwP4QsIPOF2bwCAwLB//37nx99++60899xz5oR9DgULFnR+rAufp6SkSHj4xf/EaKDwNT2Lsp7w1tO9995rTmr6zjvvmBMK6kk8Fy5caP4HELio3ADIEj3bueMSGxtrqjWOzzdu3CiFChWS6dOnm7MWR0VFyfz5881Z43v06CGlSpUy4ad58+Yya9Yst8f1rIzo444dO1auv/56yZ8/v1SvXl1+/PFHt69Zu3atdOvWzTymPvbtt98uR44ccd7eoUMHc7bpIUOGSPHixaVLly7pPid93Kefflquvvpqsx267Q8++KDcddddzsfZuXOnPPzww84KlYM+v8svv1zy5csncXFx8tBDD8mZM2fcntfw4cOlV69eUqBAASlXrpy89957XvhJALgYwg0Ar3nqqadk5MiRsmHDBmnQoIGcPn3aBIfZs2fLihUrpGvXrnLttdfKrl27Mn2cF154QW655RZZvXq1+fo+ffrIsWPHzG0nTpyQK6+8Uho3bixLly6VX375RQ4ePGju7+qzzz4z1ZoFCxbIBx98kO730WA2bdo0OXXqVLq3T548WcqXLy8vvviiqVw5qlca2vS53HjjjWYbtZKlYUcDlatRo0ZJw4YNzXPXfTN48GCZOXNmtvYpgBzI1mk2AcCyzNmDY2Nj05wNfMqUKRf92rp161rvvPOO83M9+/Gbb77p/Fwf5z//+Y/z89OnT5vrpk+fbj4fPny4Obu4q927d5v7OM6+3r59e6tx48YX3Za5c+da5cuXN2cpb9asmTVkyBBr/vz5bvfx3D7Vv39/a+DAgW7X/fHHH1ZoaKg5Y7Pj67p27ep2n1tvvdWcqRmAb1G5AeA1zZo1c/tcKzePPfaY1K5dWwoXLmyGkbSqc7HKjVZ9HHRIJyYmRg4dOmQ+X7Vqlfz+++/msRyXWrVqOSsqDjrEdDHt2rWTbdu2mcrSTTfdJOvWrTNDTTqclBndhvHjx7ttgw59paamyvbt2533a926tdvX6ef6/AH4Fg3FALxGg4grDTY6DPPaa69JtWrVTH+Khght8M1MRESE2+fa66LBwRGYdGjrv//9b5qvK1OmTIbbktn30kCjlyeffFJeeuklMwylH6fXhOzYhnvuucf02XiqUKFClr4vAN8h3ADwGe13ueOOO0xzsCMU7Nix45Ies0mTJvL999+bht2szMbKLp01lZycLAkJCSbc6EVnfnluw/r1601gy8zixYvTfK5VLAC+xbAUAJ/RmU7alLty5UozlNO7d29nBSanBg0aZJqLdRaSrpGjQ1EzZsyQO++8M00IuRidDfXhhx/KsmXLTOjS5mKdPXXFFVeYoTClIWrevHmyd+9e54wsrerolHFtINbntmXLFrM2jmdDsYa7V199VTZv3mxmSk2cONE0FQPwLcINAJ954403pEiRItKmTRszlKR9KVr1uBRly5Y1oUGDTOfOnaV+/fpmyrf29ISGZu9Pmm6PzqrSx9GKik4D1+u+++475310iEqDjy7051iTR3uC5s6da0KLDmfpzC1d90e3zdWjjz5qZnTp7Trcpfsjo2npALwnRLuKvfh4AIB/Kj4auvQCwL+o3AAAgKBCuAEAAEGFYSkAABBUqNwAAICgQrgBAABBhXADAACCCuEGAAAEFcINAAAIKoQbAAAQVAg3AAAgqBBuAABAUCHcAAAACSb/D5gM/agjnRUGAAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# SFT loss curve\n", "plt.figure()\n", "plt.plot(sft_df[\"step\"], sft_df[\"loss\"], label=\"SFT (LoRA) train loss\")\n", "plt.title(\"SFT Loss (from trainer_state.json)\")\n", "plt.xlabel(\"Trainer Step\")\n", "plt.ylabel(\"Loss\")\n", "plt.legend()\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [ { "data": { "image/png": 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njUGGiIg8MnnZkSNH9Bs2hsxmNYEZkWEYEhcXJ8ePH9frFSpUyPVjMcgQEVGepaSk6IEJs7AWKVLE17tDASA8PFzPEWbKli2b62YmRmYiIsozu92u5yEhIb7eFQogZuhNTk7O9WMwyBARkcdwTTvy9u8LgwwREREFLAYZIiKiAKleTJs2TfzFvn37dJ/WrVvn0/1gkCEiIsoH1atXl5EjR3rs8TAqrEePHn4ThqpUqaL71LhxY/EljlrKpTNxSXI+IUkiQoOkeNEwX+8OERF5cb4cT3VqRidphIucDFfHfCv+9PpsNpvX9ikrrMjk0vZvH5LKn1eSzb8M8/WuEBFRLl199dXy5JNP6ql48eJSunRpGTp0qM5z4l5ZGT58uNx3330SGRkpjzzyiG5ftGiRdOrUSYcRozrx9NNPy4ULF1yPu3//fhk8eLAGFbNT6/jx43USuOnTp0vDhg0lNDRUDhw4ICtXrpRu3brp82M/OnfuLGvWrMm0mmI26/z222/SpUsXHf3TrFkzWbp0aaavFa8Dbr75Zr2vef3NN9+U5s2by7fffis1atSQsDDnl/OZM2dKx44ddX9LlSolN954o+zevTvTpqX58+fr9blz50qrVq10n9q3by/bt2+X/MQgk0uGxTne3WbnVNxERBlOeJaU4pOTewjJiQkTJkhQUJCsWLFCPvvsM/nkk0/0oO7uo48+0qCwdu1aDTo4oF9//fVy6623yoYNG+Snn37SYINABAgYlStXlmHDhmnzC04mzLfz/vvv63Ns3rxZ51A5d+6c9O/fXx9j2bJlUqdOHbnhhht0e1aGDBkizz//vIaJunXryt13361z+mQEYQnGjRun+2Neh127dsn//d//6X6bwQSh7Nlnn5VVq1ZpOEHVCCEou5mbsU8ff/yx3g/v64MPPij5iU1LuZRidZbdrI5EX+8KEZHfiU+2S8PXZ/nkubcM6y5FQnJ+eEM15dNPP9VqQr169WTjxo16fcCAAa7bdO3aVZ577jnX9Ycfflj69esngwYN0usIHp9//rlWUkaNGiUlS5bUppeIiIhLml8wZ8rXX3+twcj98d2NGTNGKyELFizQSkhmnn/+eenZs6defuutt6RRo0YaSurXr3/JbcuUKZNmWYD0zUk//PCD6zaAkObu+++/159v2bIly34x77zzjr4P8PLLL+v+JSQkuCo9nsaKTC6lWJ0fiI1BhogooLVt2zbNfCbt2rWTnTt3uib5AzSVuFu/fr02ExUrVsx16t69u1YrsN5UVtD/pGnTpmm2HTt2TIMTAhGaltCEdf78eW12ykpTt8cxp/k3p/2/HNWqVUsTYgDvASo8NWvW1P0xm6K8tU85xYpMLtlTKzJBDjYtERGlFx5s08qIr57b04oWLZrmOkLGo48+qv1i0qtatWrW+xcefslEcGhWOnXqlDZtIVSg7wwCVXYriQcHB7sum4+Zm0U7078+6NWrl+7L2LFjdekJPC4qMd7ap5xikMkluzVUz1mRISK6FA5gl9O840vLly9Pc93so5LV2j8tW7bUJpbatWtnWXlxr+pkZfHixdrchH4xEB0dLSdPnhRPCw4OztE+IVShky5CDDo0A/rv+CM2LeVSisVZkWGQISIKbGgqQadWHLgnT54sX3zxhTzzzDNZ3uell16SJUuWaOdedI5FM8zvv//u6uwLaIpZuHChHDp0KNtQguD0448/ytatWzVYof+NuaiiJ1WvXl077h49elRiYmIyvV1UVJSOVEJfHfS5+ffff/U98kcMMrlkt5kVGTYtEREFMgyrjo+Pl9atW8vAgQM1xJhDrLPqB4KOuDt27NCKRYsWLeT111/XJhgTRixhiHKtWrUu6X+S3nfffafBApWee++9V5usMJrJ0z7++GOZPXu2dnDGPmcGI5SmTJkiq1ev1uYkDCP/8MMPxR9ZjMsdpxZgYmNjtePU2bNntbOSp0yb8In02fuW7I1sLTWene2xxyUiCkQYlYJOru7zkAQCzPeCOVQ8OQMveeb3JqfHb1Zk8tjZ12awIkNEROQrDDJ57OzLUUtERES+Exhdyv25IsPOvkREAQvT6lNgY0Uml1JszrY8VmSIiIh8h0EmlzghHhERke8xyOSSI3X4dZDBpiUiIiJfYZDJJXb2JSIi8j0GmVxyuJqWWJEhIiLyFQaZvM7sK3YRe4qvd4eIiKhQYpDJYx8ZZWdVhoiI8n8hzmnTpvl0H/bt26f7gfWl/AWDTC4ZNmfTkkphkCEioksXaPTk0gdHjhyRHj16eOzxCgoGmdyyBEmykbrEe0qCr/eGiIi8JCnJc4M87Ha7OByOHN22fPnyEhrq1hpAikEml6xWiyRKsPMKgwwRUUDCopFPPvmknrBAYenSpWXo0KHivp4yKivDhw/XVbKxeKG5MvaiRYt05evw8HBdTRorVl+4cMH1uPv379dVo9EUgxOMHz9eSpQoIdOnT5eGDRtqMDlw4ICsXLlSunXrps+P/ejcubOsWbMm06Yls4nnt99+ky5dukiRIkWkWbNmsnTp0kxfa9++feXOO+9Msy05OVmf84cfftDrM2fOlI4dO+o+lipVSm688UbZvXu3+DMGmVzC72SCpDYvsWmJiCgtBIGkC745uYWQnJgwYYIEBQXJihUr5LPPPpNPPvlEvv322zS3+eijjzQorF27VoMODu7XX3+93HrrrbJhwwb56aefNNggEAECRuXKlWXYsGHaJISTKS4uTt5//319js2bN0vZsmXl3Llz0r9/f32MZcuWSZ06deSGG27Q7VkZMmSIPP/889pnpW7dunL33XdLSkrGA1D69esnf/zxh5w/f961bdasWbo/N998s15HEHv22Wdl1apVMnfuXLFarfqznFaNfIFrLeWS1cKKDBFRppLjRN6t6JvnfvWwSEjRHN8c1ZRPP/1UKxz16tWTjRs36vUBAwa4btO1a1d57rnnXNcffvhhDQaDBg3S6wgen3/+uVZSRo0aJSVLlhSbzSYRERHaJJS+CvL1119rMHJ/fHdjxozRqsiCBQu0KpKZ559/Xnr27KmX33rrLWnUqJHs2rVL6tevf8ltu3fvLkWLFpWpU6fKvffeq9smTZokvXv31v0EBDN333//vZQpU0a2bNkijRs3Fn/EikwuWS0iiUZqkElmkCEiClRt27Z1Nf1Au3btZOfOndp/xdSqVas091m/fr02ExUrVsx1QlBA5WLv3r1ZPl9ISIg0bdo0zbZjx45pcEIgQtMSmrBQOUGzU1aauj1OhQoV9Pz48eMZ3hZVpzvuuEMmTpzoqr78/vvvGshMeN2o6tSsWVP3Ac1qkN1++BIrMrnEigwRURaCizgrI756bg9DJcMdQsajjz6q/WLSq1q1apaPhT417sEJ0Kx06tQpbdqqVq2a9p1BoMquY3FwcHCaPjSQVTMQQguqRgg7s2fP1n1BE5mpV69e+vxjx46VihUr6mOhEuPJDs6exiCTS5Y0QYZ9ZIiI0sBB9TKad3xp+fLlaa6bfVTQNJSZli1banNL7dq1s6y8uFd1srJ48WJtbkK/GIiOjpaTJ0+Kp7Vv316b0tCn5++//5bbb7/dFYYQpLZv364hBp2YAX12/B2blvLStOTq7MuKDBFRoEKzCTq44iA+efJk+eKLL+SZZ57J8j4vvfSSLFmyRDv3oqMtmmTQTGN29gU0yyxcuFAOHTqUbShBcPrxxx9l69atGqxQOUG1JD/07dtXRo8erRUZ92alqKgoHamE/jnoZ/Pvv//q++LvGGRyCQU8Vx8ZVmSIiAIWhlXHx8dL69atZeDAgRpizCHWWfVNQUfcHTt2aPWiRYsW8vrrr2tzjAkjljBMulatWtphNivfffedxMTEaKUHHXHRZIXRTPmhX79+Wk2qVKmSdOjQwbUdI5SmTJkiq1ev1uYkDB3/8MMPxd9ZDPfB8gVQbGysdpw6e/asdlzylB+W7pMKMx6QbrY1Ir0+F7miv8cem4go0CQkJGgn1xo1akhYWJgECsz30rx5c4/OwEue+b3J6fGbFZlcYh8ZIiIi32OQySX2kSEiIvI9jlrKy/Br9pEhIgpo8+fP9/UuUB6xIpOniowZZOJ9vTtERESFkk+DDIalYfId9PJ2XwzLhH7I6AWO2QoxDO3aa6/VIW7+00eGay0REREV2iCD6ZGx1sRXX32V4c8/+OADXbsC490xrh4zK2IKaPRy9jXO7EtERFTI+8j06NFDTxlBNQbD4V577TW56aabdBuWGS9XrpxWbu666y7xm7WWGGSIiIh8wm/7yGBc+dGjR7U5yYTx5G3atJGlS5dmer/ExEQde+5+yq/Ztzn8moiIyLf8NsggxAAqMO5w3fxZRkaMGKGBxzxhTYn8wKYlIiIi3/PbIJNbr7zyis4CaJ6w8FZ+4IR4RETkD958802dnbiw8tsgU758eT0/duxYmu24bv4sI1j6HFMZu5/yq49MgsEJ8YiIAtmJEyfk8ccfl6pVq+rxA8cXDCrBatTuiz/iy6v7qXLlyhog0m9Pf8rI+PHjpUSJEh57Dc8//7zMnTtXCiu/nRAP6y7gFwofjpk00d8Fo5fwS+draZuWWJEhIgpEt956qyQlJcmECROkZs2a+mUZx51Tp06luR0WgBwwYIDrus1m02lBHnvsMde2K6+8UhebdL9dXmC/QkJSvzBnoVixYnoqrHwaZM6fP69Lhbt38MVy6CVLltR0PGjQIHn77bd1eXMEm6FDh+qcM3369BG/WqIgmRPiEREFmjNnzsh///2ns/t27txZt1WrVk1XwU4vIiIiw9YA9wCBcJPZ7Ux4rgceeEAvmxWbN954Q6s7qPw89NBDOl8aRufecsstWr156aWXZOrUqXLw4EF9bKxejTnWgoOdX6ZxX9wex0+4//779bV17NhRPv74Yw1EGOmLkcDmfQoSnwaZVatWSZcuXVzXn332WT3v37+/fngvvviizjWDhGt+KDNnzvSLlVXZR4aIKHOYQiPeR7OehweFZ9qsk1ElAyGgbdu22rSU39q3b6+BAkFk+/btrv0wffTRR/ozhBsTwhGOifgiv3HjRq34YBuOkZmZN2+eTiaLcxQM7rzzTm3d8FS1yJ8E+Xr5dPyyZwa/iCjn4eTfay2xjwwRkTuEmDaT2vjkuZf3XS5Fgotke7ugoCANCDi4Y+LVli1bamUG1YumTZumuS2qIpjXzPTuu+/K008/fdn7hqYijKjF8S2jyk3Xrl3lueeeS7PN/XlRtUGfmClTpmQZZKKiouTLL7/UKlH9+vWlZ8+e2mRWEIOM33b2Day1lliRISIK1D4yhw8flunTp8v111+vTT8INAg47l544QVtujFP9913X77sT6tWrS7Z9tNPP0mHDh00+KB6g2Bz4MCBLB+nUaNGGmJMqM4cP35cCiK/7ezr79JOiMeKDBFR+uYdVEZ89dyXA90VunXrpif0xXz44Ye1aQd9TUylS5eW2rVrS37DUjzuMAEs+sS89dZbOpoK1RxUY9D3JSvB6frCoALkcDikIGKQySUuGklElPXfyJw07/ijhg0bXrKIsSeheclut+fotkuWLNEOyEOGDHFt279/f77tWyBikPFUHxn09clB5zIiIvIPGGJ9++23y4MPPqh9YtCBFoNQsGCxucZffkA/F4zaRZ8VLJxcpEgRPWUEo3bRjIQqDIZ3//XXXzqCiS5iH5m8TIhnVmTEELEn+3iPiIjocqC/Cdbv+/TTT+Wqq66Sxo0ba9MSOsSio2x+jlzC/DMYSVSmTBkNTpnp3bu3DB48WJ588kkddYQKDfaRLrIYWQ0bKgAwiR7aFLFcgSdn+V2y66Tc/+0i2RHW37nh5WiRsPyZRZiIyN8lJCToXGCY88sfpsigwP+9yenxmxWZXAoOskqSe8scO/wSERF5HYNMLgXb8Na5d/hlkCEiIvI2BplcCrY5O/ZyLhkiIiLfYZDJpRCtyHAuGSIiIl9ikMlT05K4DcFmRYaIqICPHyE//H1hkMmloEualliRIaLCy5wOHystE+VUXFycnudlVW5OiJfHpqUEVGSQaRhkiKgQwwKMmNTtxIkTelCyWvk9mbKuxCDEYP2nEiVKpFkX6nIxyOS1aYmdfYmIdEkCLEyIOUE4hT7lFEJMRquAXw4GmTzMIwMJBodfExGZawhhSn02L1FOoHKXl0qMiUHGU8OvkxlkiIjQpMSZfcmb2IiZS8Gp7b+cEI+IiMh3GGRyyWq1SJAVM/uyjwwREZGvMMjkscPvxXlkWJEhIiLyNgaZPPaTYUWGiIjIdxhk8lqR4YR4REREPsMg47Egw4oMERGRtzHI5EFwkEUSOY8MERGRzzDI5LEik8CKDBERkc8wyORxLpmL88jE+3p3iIiICh0GmTywcR4ZIiIin2KQyYMgDL/mPDJEREQ+wyCTB5zZl4iIyLcYZPIgSPvIsCJDRETkKwwyee4jY3b2ZUWGiIjI2xhk8oB9ZIiIiHyLQSYP2EeGiIjItxhk8sBmxYR4nNmXiIjIVxhkPLX6dTKDDBERkbcxyOS1sy/7yBAREfkMg4yn+sg4kkUcdl/vEhERUaHCIJMHQTa3tZaAHX6JiIi8ikHGUxUZYPMSERGRVzHI5LGPjF1s4hCbcwMrMkRERF7FIJMHwTbn25di5RBsIiIiX2CQyWNFJm2QYUWGiIjImxhk8thHBlIsoc4NrMgQERF5FYNMHtdagmQ2LREREfkEg0welyiAFAuDDBERkS8wyHigaSnZFWTYR4aIiMibGGQ80bTEigwREZFPMMh4oCKTZDHXW2JFhoiIyJsYZDzQRybZXKaAFRkiIiKvYpDxSEWGfWSIiIh8gUHGA31kksz1lliRISIi8ioGGQ9UZFwrYDPIEBEReRWDjAf6yLhWwE5mkCEiIvImBpk82HTorJ7vOWN3bmBFhoiIyKsYZPKgTERo2ooMO/sSERF5FYNMHjSsEKnnURERzg2syBAREXkVg4wHRi0lsCJDRETkEwwyeWBLHbWUYHD4NRERkS8wyORBsM2aLsiwIkNERORNDDIemEcm3hHk3MCKDBERkVcxyORBUOo8MvGsyBAREfkEg4wHOvvGOcwgE+/bHSIiIipkGGTyINgMMobZtMSKDBERkTcxyHiiaclVkWEfGSIiIm9ikPHA8Os4h825gRUZIiIir2KQ8cDw6zg7KzJERES+wCDjgc6+F9hHhoiIyCf8OsjY7XYZOnSo1KhRQ8LDw6VWrVoyfPhwMQxD/EFwah+ZRPeZff1k34iIiAqD1FKCf3r//fdl1KhRMmHCBGnUqJGsWrVKHnjgASlevLg8/fTTvt49saVWZFyrXxsOEUeKiC31OhERERXeILNkyRK56aabpGfPnnq9evXqMnnyZFmxYoX408y+iRJycSOqMgwyREREXuHXTUvt27eXuXPnyo4dO/T6+vXrZdGiRdKjRw/xp86+rooMJLPDLxERkbf4dUXm5ZdfltjYWKlfv77YbDbtM/POO+9Iv379Mr1PYmKinky4f35JLciIiEUMW6hY7IkcuURERORFfl2R+fnnn2XixIkyadIkWbNmjfaV+eijj/Q8MyNGjNA+NOapSpUq+bZ/FovFNbuvERTq3MiRS0RERF5jMfxlCFAGEEJQlRk4cKBr29tvvy3/+9//ZNu2bTmuyOBxzp49K5GRkR7fxwZDZ0p8sl12l3xGbHEnRB5bLFK+scefh4iIqDCJjY3VgkR2x2+/blqKi4sTa+oQZxOamBwOR6b3CQ0N1ZNX55JJFnHYQkXn92VFhoiIyGv8Osj06tVL+8RUrVpVh1+vXbtWPvnkE3nwwQfFX5gjl9BHRrGPDBERkdf4dZD54osvdEK8J554Qo4fPy4VK1aURx99VF5//XXxF0GpI5dQkVEMMkRERF7j10EmIiJCRo4cqSd/FZxakbFb2dmXiIjI2/x61FIgMGf3ddhSJ8VjRYaIiMhrGGQ8tN6S3Rbm3MAgQ0RE5DUMMh5aAdtuZUWGiIjI2xhk8ijIrMiwjwwREZHXMcjkESsyREREvsMg46F5ZJItZpBhRYaIiMhbGGQ8NI9MiqtpiRUZIiIib2GQ8VBFJsUS7NzAigwREZHXMMh4qiJjYUWGiIjI2xhkPDSzb7KVFRkiIiJvY5Dx0KilJEmtyCTH+3aHiIiIChEGGQ/NI5PsGn7NigwREZG3MMh4rCJjNi2xjwwREZG3MMh4qiLDeWSIiIi8jkEmj4JdFRnO7EtERORtDDJ5ZEsdtZToalpiRYaIiMhbGGTyKDh1Hhn2kSEiIvI+BhkPzeybwIoMERGR1zHI5JEttY9MgoN9ZIiIiLyNQSaPlu4+pec/rTvu3MAgQ0RE5DUMMnm04eBZPU8wWJEhIiLyNgYZD3GNWrIniTgcvt4dIiKiQoFBxtNBBuzs8EtEROQNDDJ51LJqiUuDDJuXiIiIvIJBJo8Gdqmt5zXKFBexpL6dHIJNRETkFQwyeRQS5HwLbZgYLyjMuZEVGSIiIq9gkPHQopE7jp0TCQp1bmRFhoiIyCsYZPLoTFySnjsMpBpWZIiIiLyJQSaPomPiXJcdttSKTDKDDBERkTcwyORRipZinOxmkGFFhoiIyCsYZPLIanGutQSGK8iwjwwREZE3MMjkUcfapV2Xky1cpoCIiMibGGTyqHGl4q7LBkctEREReRWDjAdUjgrXc7uVfWSIiIi8iUHGg5Pi2dm0RERE5P9BJjo6Wg4ePOi6vmLFChk0aJCMGTNGCqMQzOqL/GI1gwybloiIiPw2yPTt21fmzZunl48ePSrdunXTMDNkyBAZNmyYFNaKzMUgw4oMERGR3waZTZs2SevWrfXyzz//LI0bN5YlS5bIxIkTZfz48VJYKzIctURERBQAQSY5OVlCQ50dW+fMmSO9e/fWy/Xr15cjR45IYXPsnDO4nIg3V79mkCEiIvLbINOoUSMZPXq0/PfffzJ79my5/vrrdfvhw4elVKlSUthEn47X8yUHzjs3sI8MERGR/waZ999/X7755hu5+uqr5e6775ZmzZrp9unTp7uanAqjRINNS0RERN4UlJs7IcCcPHlSYmNjJSoqyrX9kUcekSJFikhhlSjBzgusyBAREflvRSY+Pl4SExNdIWb//v0ycuRI2b59u5QtW1YKq4tBhhUZIiIivw0yN910k/zwww96+cyZM9KmTRv5+OOPpU+fPjJq1CgprFiRISIiCoAgs2bNGunUqZNe/vXXX6VcuXJalUG4+fzzz6WwSjRYkSEiIvL7IBMXFycRERF6+Z9//pFbbrlFrFartG3bVgNNYVO1pLNfUKJwZl8iIiK/DzK1a9eWadOm6VIFs2bNkuuuu063Hz9+XCIjI6WwKRoalLZpKdk5HJuIiIj8MMi8/vrr8vzzz0v16tV1uHW7du1c1ZkWLVpIYdOkkjO8JbAiQ0RE5P9B5rbbbpMDBw7IqlWrtCJjuuaaa+TTTz+Vwub1Xo30nH1kiIiIAmAeGShfvryezFWwK1euXGgnwyuWvmmJFRkiIiL/rcg4HA5d5bp48eJSrVo1PZUoUUKGDx+uPyusOI8MERFRAFRkhgwZIt99952899570qFDB922aNEiefPNNyUhIUHeeecdKYxYkSEiIgqAIDNhwgT59ttvXateQ9OmTaVSpUryxBNPFN4gw7WWiIiI/L9p6fTp01K/fv1LtmMbflZYuSoyhl3EnuLr3SEiIirwchVksNr1l19+ecl2bENlRgp7kAFWZYiIiPyzaemDDz6Qnj17ypw5c1xzyCxdulQnyJsxY4YUVknpg0xoMV/uDhERUYGXq4pM586dZceOHXLzzTfropE4YZmCzZs3y48//iiFlUOskmTYnFdYkSEiIvLfeWQqVqx4Safe9evX62imMWPGSGGF2X1DJJ4jl4iIiPy1IkOZ41wyRERE3sMg4yGPda6VbgVsBhkiIqL8xiDjIc9dVzfNektnzp338R4REREVfJfVRwYderOCTr+FVbDNmmbk0pnYWCnh430iIiIq6C4ryGBtpex+ft9990lhZvaR2bjvuFQvnGtoEhER+WeQGTduXP7tSQELMtWKpw7DJiIionzDPjIeZvaR+Xfjfl/vChERUYHHIONh8RKq56djTolhGL7eHSIiogKNQcaDykaEyj6jnF6uZTksaw7E+HqXiIiICjS/DzKHDh2Se+65R0qVKiXh4eHSpEkTWbVqlfijl66vL9sdVfRyfWu0xMZzBWwiIqJCG2RiYmKkQ4cOEhwcLH///bds2bJFPv74Y4mKihJ/dOsVlWWbUVUv17NEi83i6z0iIiIq2HK91pI3vP/++1KlSpU0o6Vq1Kgh/myXUUlSDKuUsFwQOXcEDU6+3iUiIqICy68rMtOnT5dWrVrJ7bffLmXLlpUWLVrI2LFjs7xPYmKixMbGpjl5EybE22tU0MuT/vjbq89NRERU2Ph1kNmzZ4+MGjVK6tSpI7NmzZLHH39cnn76aZkwYUKm9xkxYoROzGeeUNHxptuuqCzbDedzVkvZ59XnJiIiKmz8Osg4HA5p2bKlvPvuu1qNeeSRR2TAgAEyevToTO/zyiuvyNmzZ12n6Ohor+7z1fXKyLbUDr/1rNFy4lyiV5+fiIioMPHrIFOhQgVp2LBhmm0NGjSQAwcOZHqf0NBQiYyMTHPypuLhwa4Ov/Ut0XLlO3O8+vxERESFiV8HGYxY2r59e5ptO3bskGrVqom/alezlGxLbVqqbTkoQcIh2ERERIUyyAwePFiWLVumTUu7du2SSZMmyZgxY2TgwIHir4JsVrEUryLnjTAJsdilbSQnxSMiIiqUQebKK6+UqVOnyuTJk6Vx48YyfPhwGTlypPTr10/8WcmIcNlhVNbLUed3+np3iIiICiy/nkcGbrzxRj0FkvXRZ2RbUBVpad2lHX4vJKZI0VC/f6uJiIgCjl9XZALV7elm+B04aY2vd4mIiKhAYpDJB/3bV5ftDmeQaWA9IPO3n/D1LhERERVIDDL5oF75CNfIpcqWk1JM4ny9S0RERAUSg0w+SLY75KwUk6OGc3HLupaDvt4lIiKiAolBJh+EB9v0fHvqDL/1rd6dXZiIiKiwYJDJBxaLRf58qqNsdXX4zXwmYiIiIso9Bpl8EmyzpqnIrNp32te7REREVOAwyOST2mWLuVbBrm85ILeNXuLrXSIiIipwGGTyidUissuoJCmGVYpb4qS8sCJDRETkaQwy+dhPJkmCZa9RQa+zwy8REZHnMcjkM3M+GczwS0RERJ7FIJOPfh/YQbalzvBb33pA/txw2Ne7REREVKAwyOSjqiWLuHX4jZZnf17v610iIiIqUBhk8lF4iM3VtFTLckiCjBRf7xIREVGBwiCTj8KCbXLIKC3njTAJsdilkoNNS0RERJ7EIJPPDLGmmU8mMcXu610iIiIqMBhk8tnbfRq7zfB7QB6esMrXu0RERFRgMMjksxJFgtMMwf5v50lf7xIREVGBwSCTz3o0riDbXUOwOZcMERGRJzHI5DOb1eKqyFS2nJRiEufrXSIiIiowGGS84KwUkyNGSb3MGX6JiIg8h0HGS7Y4qul5E+teX+8KERFRgcEg4wXr37hO1jtq6eXm1l2+3h0iIqICg0HGC4qHB8s6IzXIWHbLuugzvt4lIiKiAoFBxkvWpVZkqluPyf1fzfT17hARERUIDDJeEivFZLejgl5ubt3t690hIiIqEBhkvGi92bzEfjJEREQewSDjg+Yl9JMhIiKivGOQ8ZJv7r1C1jlq6+Vm1t1itzt8vUtEREQBj0HGS7o3Ki9bjWqSaARLlOW8XPPa9zJ/+3Ff7xYREVFAY5DxomQJks1GNVfz0v3jVvp6l4iIiAIag4yXuTcvERERUd4wyPgoyLTgyCUiIqI8Y5DxMnOG3waW/RIiyb7eHSIiooDGIONFo++5Qg4YZeWUESGhlhRpaNnv610iIiIKaAwyXnR94/IiYuECkkRERB7CIOPDfjIIMqcvJPl6d4iIiAIWg4wP+8k0s+yWY7EJvt4dIiKigMUg42UrhlzjWqqghvWY3P3ZDF/vEhERUcBikPGyshFhl6yEbRiGr3eLiIgoIDHI+MFK2F/NY6dfIiKi3GCQ8YOVsD/6Z4evd4eIiCggMcj4xVIFbFoiIiLKDQYZH3FfCbu65aivd4eIiCggMcj4wJh7r0izEjaGYa/ef9rXu0VERBRwGGR84LpG5dNNjLdbfll10Md7RUREFHgYZHzklhaV0qyE/deGI77eJSIiooDDIOMjw/s0TrMSdmJivK93iYiIKOAwyOSRw3Dk6n5FQ4OkUcOmrpWwW1hYlSEiIrpcDDK5NGL5CGk9sbVM3Dox14/RuV5Z+dfeQi/faFsqAyet8eAeEhERFXwMMrlktVglPiVeTsafzPVjRMfEye+ODnq5p22ZBEmKB/eQiIio4GOQyaVS4aX0PC9B5lhsoix1NJQTRnEpaTkvHa0bxe7g5HhEREQ5xSCTS6XCnEHmVMKpXD9GpzqlxS42+dPeVq/3sS2WWq/OkKSU3PW7ISIiKmwYZHKpdHhpPT8Vn/sg06tpRT3/3e5sXrrOulrCJUHGL9nrob0kIiIq2Bhk8ti0lJcgY7VapF3NUjoMe5+jnBSxJEo36xrZezLOg3tKRERUcDHI5LEiczrhtNgd9lw/TmR4kIhY5HdHe73e27aYi0gSERHlEINMLkWFRYlFLGI37HIm8UyuH+fmFpX1fLrdGWQ6WzdIyvncdyAmIiIqTBhkcinYGiwlQkvkucPv1fXK6Pluo5JsclSXYItdQrb/IQnJua/yEBERFRYMMj4egh0WbJPR91yhl6eldvrtbVsi9YfO9NBeEhERFVwMMj4euXSxn4zoMGyHYZE21m1SUdi8RERElB0GGR+PXIIth2P1/KiUkuWOBq6qzNm4ZA/sJRERUcHFIJMHpcNK57lpCW5uUcl12Ry9dJNtibR+d478sf6wnI1noCEiIsoIg4wnKjJ56Oyrj1MsVO5sVUUv/21vLUmGTRpYD0g1+355avJaufe75R7ZXyIiooKGQcYDfWTyWpGB57rX1fOzUkzmO5q7mpdgw8GzeX58IiKigohBxg8qMhAaZHNdNpcsuMm6RCziXHcpPonDsYmIiNJjkPHEwpF57OwLxUKdI5dgrqOFxBrhUsV6Qh63/aHbfl93KM/PQUREVNAwyHigaSkmIUZSHCl5eiyb1SIPdqihlxMkVN5JuUcvPxf0s7SzbpaXf9vogT0mIiIqWAIqyLz33ntisVhk0KBB4g8ws6/VYhVDDA0zefVSj3quyz/Zr5afUzqLzWLIF8FfSDk5Lbd8vViiT3NBSSIiooALMitXrpRvvvlGmjZtKv7CZrVJybCSHuvw695PBgtJDk15QLY4qklpS6x8GfK5bDhwUjp9MI/LFxAREQVSkDl//rz069dPxo4dK1FRUeKXs/t6oMNveokSIo8nP6P9Za607pCXgybr9ljOK0NERBQ4QWbgwIHSs2dPufbaa7O9bWJiosTGxqY5eaPDrycqMrD+jevSXN9vlJfnkx/Tyw8H/S09rMvljw1HZNW+02IYhkeek4iIKFD5fZCZMmWKrFmzRkaMGJGj2+N2xYsXd52qVHFONOfPC0e6Kx4efMm2fxxXyuiUXnr5w+BvZOJfc+S20Utl+vrDcj4xb52MiYiIAplfB5no6Gh55plnZOLEiRIWFpaj+7zyyity9uxZ1wmPEQjrLbn76+mOl2z7MOUOWeZoIMUsCTIm+BPt/PvMlHXS+I1Z8teGIx57biIiokDi10Fm9erVcvz4cWnZsqUEBQXpacGCBfL555/rZbv90k6voaGhEhkZmebkjfWWPBlkGlUsLqPvaZlmm11s8lTSU3LUiJLa1sMyNfR1qW85oD976f82pLltUoqDzU5ERFQo+HWQueaaa2Tjxo2ybt0616lVq1ba8ReXbTb3UT4Fq7Pv9Y0ryL73eqbZdkJKyG1Jb8pORyWpaDktv4S8JR2tG7V56fXfN8mzP6+TDQfPSIth/0j/cSs9uj9ERET+6OJ0sn4oIiJCGjdunGZb0aJFpVSpUpds9xVP95HJzkGjjNya9IaMCflU2lq3yrjgD+TVlIfkh6VX689/W+OcAXjhjhOX9bjL9pwSh8OQ9rWdwYyIiCgQ+HVFprAtHJlTsVJM7kt6WabZ20uwxS4fBo+RwUG/iEja5qTtR89pM1N2ElPscteYZdL32+VyLoFDu4mIKHAEXJCZP3++jBw5UvyFOfw6NilWkuxJHn/8BS84Ky3pJUmwDEoeKF+k9NHrzwRNlVHBI6WK5ZjrNt1HLpQrhs+WFHvmYQZ9aV6fttl1naOgiIgokARckPE3kaGREmR1ttCdTjjt8cevVqqozi1zVd0yGfzUIh+n3CEvJz8sKYZVethWyr8hz8vbQd/pqCY4l5giK/fFyIgZW3V5AzQfudtyJFZ+WnVxZBf6CM/YeEQ6ffCvbDx41uOvh4iIyJMYZPIIay15chXszOaW+eHB1nJdw3IZ/nyKvavclDRcFtibalPTPUFzZUHoYHklaKJESazcPXaZfLNwjy5vUPPVGVL95b/ktzUH9b6/rHKeu3ti4hqJPh0vvb5cJJsOMcwQEZH/YpAJoA6/L/eon+nPNhs1pH/yy3Jn4lBZ6agrYZZkeTToL1kYOlheCJoiFSRtyHr25/Vy5zdLZfySfWm2px+0fdvoJR59DURERJ7EIBNAHX5rlikmu9+9QaqWLJLpbZYbDeT2pDfk/qQXZLOjmkRY4mVg0HT5L/QZ+Sp4pLS2bHXFleV7L20Ku5Cuj0xCcvadhYmIiHyFQcbPF45Mz2a1yL/PdZaaZYpmcSuLzHe0kBuT3pFHkwbrjMBBFof0tK2Qn0OHy4yQV+VO2zwJk8RL7nndpwsv2XY8NkFmbjqqJ3QcNifb23nsnHwxd6f2vSEiIvIFi1HAp4DFopFYcwnLFeTXLL+fr/lcxm4cK3fXv1tebfOqeIM9tdPuO39tle8X78329pgF+D7bLLnZtljCLc7RVeeNMJnlaCW/2zvIYkdjnT04pzBZH/ramJ7qWlueu65erl4LERFRbo/frMj46XpLOanM4PR6r4Y5uv02o6q8mjJA2iZ+Ke8k95X9jrK6btOttkXyQ8j7siz0SXkjaII0s+zKoKfMpc7Gp51v5ot/cb+cOXk+UQb8sErmbTue4/sQEREF3My+gcLbs/umV7pYqIaDnDgrxWSs/UYZa+8pLS07pY9tsdxoWyplLGflgaBZesJ6Tv/Zm8h/jqayyNFYTsulSbjZW/9k+hx7T16QUsVCJDLs0pW84d2/tsrsLcf0lH4ZBiIiosvBIOPJhSO90EcmI/8+31kOno6XV6ZulPXRZ3J4L4usMerKmpS6MizlXulk3aihppt1tZS3xMjtQQvldlkoDsMim4zq8p+jiax01JN1jtpyRiIyfMT/LdsvI+fsdIWqjrVLy/f3XykhQVadaG/0/N1yY7MKcuxcggdfPRERFWbsI+MB+87uk17Tekmx4GKytO9S8ZXTF5Jk/vbjMnfbcflrw5FcPUaoJEkr63a5yrpBrrJulAZW5wrb7vY6yslao46sddTWYLPDqCyJEpLpYzasECnHzyXIyfPOvjm1yxaTXcfP6+XFL3eVI2fiZfGuU9K2ZklpXaOkJKY4JCz4Yn+dRTtPSpWS4To5IBERFQ6xOTx+M8h4QFxynLSd1FYMMWTeHfNco5h8CaHmYEyc9P5ycZ4ep4zEaLWmg22zNLfsklrWSwOS3bDIfqOc7DCqyHajsmx34LyK7DUqiCOX3bBmPN1J++GgH9Ad3zjD4eU0Q2FW4hF/b5VXejSQJpWLiydhlFaREJuUKhbq0cclIqKLGGS8GGTglum3yM6YnTLy6pFyTbVrxF8s33NKfl51UP4vdSbfvCou56W5dbeGmubWXdLUukdKWc5leNs4I1S2GNVko6OGbHLUkI1GDdltVLys0VHuMgsyCBZ/bDgs/dpU01mQof7Qv3UOHDRr7Xi7h3gKms1avT0ny/0hIiLvHb/ZR8ZDmpdprkFm3Yl1fhVk2tQspafWNaK0yaZKVBF5YPzKXD8eOgsvcDSTBdJMxI4thpSWWKlrjZZ6lmipazko9VIvF7UkSivLDmll3eG6f4IRrJWaXUZF2eWoJLuMShpu9hrls2yeglmbj8pVdcrIP1uOyjNT1jm3DbpKF8eED2Zul/EPXClX1yvrmsgvu9W/sfaU1WrJ0WvffPisTFyetqkN3wMslov3T0i2y08ro6Vr/bJSJYuJC4mIyDNYkfGQP3b/Ia8uelWalWkm/7vhf+LPvv1vjw6XblG1hMzffiJfnsMqDqlhOSJNLHuliXWvNLbulUaWfTrkOyPoVHxESsp+RzltpsJpn1FeDhml5bQRIaclQuIlLEfPHRkWJLEJaWco3jKsu7w2bZMcPZsgn93VQmcwRrWm/Xv/SpDVIrvevUFvdy4hWZu03vpji9QtV0zub19DykQ4m5Dc582BG5qUlxkbj8rmt7pL0VDndwIszol1rcKDbbJ1+PUZhp4Dp+Jk69FYXTtr06FYGb1wt7zUvb6O9MLj7Dp+TkJsNqlayj+CUHySXeyGIcVSX2Nu5jzCCe83EVFOsWnJy0Em+ly03PDbDRJsDdYOv6G2wOg/8dq0jfK/ZZd26M0PFnFIFcsJqW05pKdaliNS2+q8XNyS/ezA8UaInJJIDTZHjZKyx6gou40KstuB84paLcotBJ3vF+2Vj/65WD0yoXPy/e2raxDKzMg7m0ufFpXkxi/+03CSvulp7MI98uGs7fLuLU3k+V/W67bv+reShyasSvM4n9zRTNfBSn9/d+Y/WfdKUH7Bc9UZ8rekOAzZNvz6NJ2wc6rrR/Nlz8kLmd4fz4Eh++jMjT5RRETAIOPlIIO3scvPXXQI9g89fpAWZVtIIEB15u2/sP7SRQ93rCHfLsp+tmDPMaSUxEo1yzGpajku1a1H9XJ1yzEpbzktJSVWQi1pKywZOWlEasA5L+FyzgjX8/Op5yeMEnLQKC2HjDISbaAxDCOgPHvQbFwp0hVi4PO7W0jvZhUzrOZA+cgwORqb9VD00sVCZMnL12g1A5WaB8evkgOn46RBhUj548kOEmTLuMqBOXrQrIZ9wsSDd7WumuMQglDx5KQ1MrBLbX2MQT85m/FmD75K6pS7dOg9qi1ZBRDztb9+Y0O548oql1R2Ji7fL0OmbpI+zSvKyLtaZNoEmJBil1Hzd0u3huWkaeUSOXotRBS4GGS8HGRg8LzBMufAHBl8xWB5sPGDEggSU+zS//sVsmzPaVdlokhIkAyZuvGS/iC+Y0hRSZCSllgpJef0vLLlhNS0HJFalsNSy3pYKlouXQAzK7FGuDZbIeCg2eq0ESmnjEiJkQg5haYsIzJ1e4RWenI7+urPpzpKn68Wa0UjL56+po58998euZCkHZPUna2qSJDNohMidqhdWioUD9NmsD83HHFVfUwDu9SSF7pnvHq6e0XEYRhy95hlsmp/zCW3iwgNkjWvd5P9p+Lk43+2yx2tqsiq/adl/OJ98stj7aVe+QiZtOKAtKhSQhpVjHRVjNxDXFSRYPnxoTay6dBZufPKKnqbdiPmypGzCZdUofC7+fj/1uhr+3lltGw/drFTeSB1tN5yOFa/MAzuVpf9poguA4OMD4LMhM0T5KNVH8nVVa6WL7p+IYHkxLlEKVEkWILdvuFnVEXwV0UkQfvklLbESoTESTFLvBSTeF39G9fLWmI0/FSynJQylotVk5zA8PIzUkxijAg9P2MUlbNSVM4axeRs6uULEqbVH5xfMMLkQmpV6KQUz7YTs7egKatiiXCpXqqonI5LkvGL98rY//ZK08rFZcPBs3l67FbVoiTJ7nA9Dio0Q25oIPtPXZAJS/dneJ9bWlSS4X0aS+cP57smURx9T0t57H9r5IXu9aRk0RB55beNGd7XDDK7T5zXDuz51f8Gfx43HjordcpGSHiILcMO3tmp8cpfgr+yqI79+VQn8YWRc3ZIucgwubt1VZ88P1FuMMj4IMisP7Fe7plxj0SFRsmCOxd4pQ9DfsLq1juOnZfqpYvIe39vk/92+mYJBk/Dqt8INDiVlrNS0nJOSllipaRWe5wVHzRn4XJO+u5kB8HnuFFCT8ckSqtAsUZRDUVmEDLDEbajKSy3Q9QLks51y8iCHRl3RsdEiqv2ndbRa1dWj9KKEGCF9sf+t1o+u6u53NS8kuv2aCJD2DHPs4PRZ+gE/tuaQ/Li/23QjvFTn+ig23t/uUiuqFZSRtzS5JJO0WbYcWd+IQixWWXHO56bCsC9cpWQ5JDiRTJeEmT70XOukX2BVMnyxEhDCmwcfu0DDUo2kBBriMQkxsj+2P1SvXh1CWToD2H2iUBzAP6ID/5pndzasrK89H8b5IpqUfLPlmMSaBIkVHbrsO+LB7rMBEmKRMl5iUoNO5FyQUpYLuh8OsUtF6SEXNDzohIvRSyJWgVCM1hRS4JESpyEWpL19jjVlUM53kesTB4rReScUUQDj47cMiLlpHZ2dnZ4RjMYqkDntPpTRM/jBZ3MC8Yf+cxCDLw1fbPrd2/lvhhJtjtk5b7TGmIAAQdD9aOKhmh/ISxS+uhVNXWl+Koli2glqH2t0q4D4+MTV+vM08NvaizVShWRJm/O0qY2VClh7QHn0h/fLdqr4R4n9yDz49J9MvT3za5O3xnBhJk5ge+WaNZtXqWENK6U/WSO7Uf8K6cuJMnaod00SN3y9RJpX6uUvHZjwwwXeM1OzIUkvU/10v43k3ZsQrJc8/ECDbkf3d7M17tDfoIVGQ/r/3d/WXN8jQzvMFz61O4jBRUOHPjGuubAGVm866QeMG6/orKuqYQytrdGQvk3Q4NPWcsZPZWTGD0vbTkrxTUQOcPQxXB0QcNQXqQYVg0zSRIkSRIsSUbquQQhVskF7fyM5i9nM5j7ZUxgqE1jEq6X8Ti4T7wRKgkSopdTCtB3H4xEe7BDDbnnu+XagfpyIbSgo/OtV1RO0wyLqgc6ZqOT9APta8hz6for3XZFZXmgQ3X5Z/Mx7czdvnZpnSMJS3Es3XNKm8rM/dk74gbtQF6jTFGZsuKAVpPua5f2C5L53N/f30pOnkvSCpK5H+akmHeOWeaadwmzUqOvDgIcisbpK8fm4/33Yhe/69MzYck+eWP65gJTXaKssSLjI83KNtMgs+74ugIdZMy+NKjK4GTCyJi3+zTRb7b4I4+gYy4xUPhYJFaKSaxRTHYZlXN0D1SA0KcHfXsQcCItcVoR0o7Oqc1fpSxndTZlVIUizL5AEic2iyFBFofOuOO2Cx6VbNg01CRKsPPcQEgKlngJ0aqQs3nMeY5mM4wOizPCnCFKwjQU4XKcXg7RsIT7GrnsTJ0X45fs01NumaO5dhxPO7O1e6hJH2Lg19UH9ZQZ91D1+7rD+jzuK9zXLRehfZLSj1g7dCZBhmYwRcB7M7e5LptNTLve6SE9PvtPJ8k0n2/hC13SzF205kCMVI4K15+jipWXpnKzX9HS3aekaKgt16PO8tpaj/ewVNGQgG/2R1BGfzcMzCAGGY9rUaaFjJNxsvb4WinM8IcCI2qwCCS+OaGCc+p8khw+Gy+JyQ5JcTikQvFwufaTBb7eVb+CikeMREqMkfrtI8f1UkPCJVFDTLgF3YtTJESSJRQnS7Jex8/RCVqbvrT5y/2y87yIJUGK6TY8TpKESZJ2pEZIgmCLXWOLKyx56HiAGZ/NUJNgOIOS8+QMS2ZFCJUihCBnpch5jhPuo9tSL+P2ZlUqWatSQZIsQfpznHvSNwv2SH4xw5IZYuCu1OoKhqGj2cyUPsTg39yZuGRXs5i720YvlZ2pC7ea0Fw88eE2ruu7T1yQ+75foX3jBl1bR1Lshnw5b5eM6tdSejSpoBWdmLgkncQRE02mb4rCyDR0AEdT1Qu/bpBXb2jgGk236rVrJSIsSM4npMj6g2ekc92yur/ZTRGQlwDy25qDOkfTgE41ZNC1dV2TWCJknUtMkciwjPsY+RuzwoaQ+dsT7SXUZtP3EKP7PDEP02dzdupn8Xz3enodlUA0437Zt4XfBic2LXlYTEKMXPXTVXp50V2LpHioZxcsLGjwzRR/3NAXYdkr10j9oTN1Oy6j3P7Z3J26ACb5kqFBCJ2ki0iiBiPEAYQcPbckuUKUNpWlNpPhHP2EcB80mSEQOS87zxGUfAFVJbPZzGxCM6tLCE9JZohKDVAXA5bzHNfN27pun3rdvG282+Pmdui+L3SsXVoW7cq+Uz/CzOCf17mWAoE3ejWUddFntIqUE0VDbBIZHqxD769vVF5mbj6q21/r2UC+/W+vHqRRdTBhNu5Gb8xyXccXpNX7Y2T1/tNa4Wlbs1SGFaCfV0Vrf6NP5+zQYOf+GhDIBk5cI39tPKJTJbhPG5AT6Dz+6I+rdD8x/cF97avLvpMXtC8hglvHOqV1HqfaZSN0wMRL19fTfofo65Oc4tCFZyctPyBjFu6W0fdeIfXLXzxG/bB0n4ZB9HVCyEK/pWZv/ZPpvrzVu5H0bFpBX+9tLStL2cgwXYeubGSohAbZ9D2ZvCJaGlSIkBZVoy7pk4W5qfCzhq873+OVQ67V6RzMCuPLPerLI51qyoZDZ3Xm8ppliqYZ5ZofOGrJR0EGek3tJfti98lX13wlV1V2hhrKHFbprlg8XEciYIkA/CFxnzQN3/z2n47TP3z4JonVrP/acOkq3P5u+9vXS7+xyzOcoyUrd11ZRZ65to5OBhdktWqH1YIAMz0jDIXrCcEmUS+HpIYjrSalBiaEnnBXELoYisz7hKduNytICFvBWpVK0fOcTKiYX5yB6GJTHM6dFSPsmU2DFc7dT2a/JOcpWEPUxeAUJEnapHex/5PZH8oMVsli08qUK6QJqg2B15wy9MaG0r9dNQ05qDjFuAWR/3u8ndw66mKz9bs3N9F/K2guHPanc4kRdMq+HPhCNenhttKwovNYgWD2yA+rZEjPBq5RcBjyj79XaHrr9+3yS6YUQCd1dL4G9yZB08Y3r5Mmb/6T4eze6MM0ZuEe6dawrE5DACiyTBvYQXp/uTjLfW9VLUpD4aEz8dqXClUVHN0bVoiUnx5tq53hMaEm4PH2nDgvt7SsLPO2H5cHxjnX39vw5nXSNHXfzD5S7k2l7lVAhJklL3fVuadQ3crNrN/ZYZDxYZAZunioTNs1Te6sd6e81vY1rzxnYfPOX1v0W0bXBmV12Cu+ee07dUGeu66eVIkKl7nbjmvpGv/oxi3OfT8IT8I3SHPW3Ceuri1rD8QI5sl79Yb6OondlJUH9I/QNfXL6bfb2PgUOZ+UIpXcvpUC/sluO3pO9py4IL+ujpZhNzWWGz77T8vjpp8eaauP+eOy/foH/tWpl87HgiHFn9/VQv94m39YTejIbU7ihw6xwUGWfG1C8V5VyRl60JSm4Sc1AKF7tHsznHkdgcq8jwam1LBk3tYMW2b4cgYp31WbMoO1zMxQhOY6hCdn4EH4cTa7IRwlm5cl9ecGem3ZNBhhO5o+cTnFcG7DNAHpQ5h7tcqsbDkDlzN0mdfxvGb1yxd9pLJSNiJUwwj6+Zn+eLKjxCfbC1yfv+evq+tamuW5bnXl49nOy1j4tnzxMK0YZQcTXa59/TqP7xuDjA+DzPIjy+Xhfx7Wodgzbpkh5YqW88rzUsbwzQRNVu5/lMwOj3ePXabDd70hP0dZHD+XIEt2ndJqFUIIhg67w2gyfLPDxIco/fdvVz3NvCP4M4DgklWpGKt/41sX3keUvHs1qyg2i0X7cUxff1iHI2MhTFSc8C0QfwTRr2Lckr26MnlWsDzBtNQmiUeuqqnfSgO92oSAo6EmtTkOIUdDkAYgZxgKEkdqPHBIkPY/claQwlxVKWeIMq87q0ypYSs1dJnX9dzi9nNUtywXZ4L2Z2bVCiEL/aWcvbysaYKSXawaoPQ8XXhCqEIQMytSSWmCmfM+uGzeFwHN/JnZfypFtzkDm/kz87a4H5oInecW1+XMOPcJn6p/BbT8tPq1a7WpzJMYZHwYZPCW3j/zfh291Ld+X3mlzSteeV7KnlkmRTPV5mHX62Ri3y/ap6MhMOV+y+Gz8+25C+twUbOChMU30c6PNnx82/t11UFpXrWEzgkSka6jJfoeLNxxQvtrmCOL3u7T2DW3Ss/P/5PNh2Oz7C9gDtMtzHAIN5vvwtya7pzBJ0WC3YJPcLpt2iSnIcsuQRb83O68LM7A5dzu0OfAz3CObZlVq5ydzy8+nzW1A3lBhkpYmlCUevlipeti0ELowTY9N5zX3cOTIRbXZTPg2Q3nz3HdvA3eVee5synRvB9O7o+hj596f+dzOX9m7hcCnrPylhr09GfOc31+w3ndvG3ZitVl4lPdPfr+Mcj4MMgAqzL+CQfR13/fJN/1v1J7+aeHagNGVM3ZclxHAkxfd1iHi6L5ZuraQzrHB/r0/JLF8NnMFNYgkxfoH4V5XvC+v39bU9d2tO+/+OsGGdi1tlgtFvl97SF5o1cj2XT4rAadyLAgnRQPfRTQdGc3DAm24g+3ocHIfaHUxzrXkuV7T7lG96CyZC6N0Lp6SVmx7+I6Xug3MGrB7hyV2ykrxsXQk9oPymyaM4OQMxg5g1JQ6qHaFZgszuvuwcpZpUJgSnE9rjNsXQxg7idUr8xAZla0zNvjedx/hsO8RoxCEL5y67XkB+Ttd0aKJzHI+DjIsCrjv7JbrTmnn+8ns3dI8fDgNAdFrA+U0SgrTILGmUj9R4rdof2V0Bn0hibltYM5QhOY09+jWod+WBiVMmvzMXmlR315tHMt/RlGndz1zTId1YG+RliLKTomTu5tW022HonVUTTocGmOnlm255SOxJmz9VimfQzcO7KSv0JvHiO1bnJxxFZ6rrCUGoZQ5XI2G2J7yiXb8XjOx3QGPDw2zvGbaLU4tzvrJnhuZ4hz3sYZ9PT+FtRUJF09RlJDGK5ffI6Lj+VIE9Jw2QxwFzvLO/fTfE1mwMTrwHQM5m2HJ98rI98d4dF3m0HGx0EGWJUpHP5Yf1hnZB3Wu5EGJHS6RX+V+OQUWbH3tIaYFlWiuD5MgEIz145j5y57aG5mAWpttHM2bCzeiVEg5nwmgD/HS3af0gnoMFwXw4JNGN7bvVF5mbzigPRpXkmH9qKf0t8bj8i/247LoG515YVf1ku/NtXk6npl5NEfV+doKDU6e7sPSybKLU9XnRlk/CDIsCpDRHmBEXmYdM59PpWcrr6NitLOY+c1gO07FSfromN0sjPMvI0QhFCF2YHRGf77RXtlxN8XZwDOTrMqJWR99MWJ9jCy7tludTOcyZgKh8kD2kq7Whfn8vEEBhk/CDLuVZkga5CMvna0tKlwceZMIiJ/gMMAKkC1yhTTkDJ+yV55+po6Ovu2eyf5GU930jlW0Gl7ya6T0qV+2TTzh2Cuo/dnbtNQ81TX2hq4UJVERatfm6qSbDd03pJxi/fqCDlMQ2Ae/DCD7MupfZMwcg2rdme1cGh2bmxaQacgME0a0Eb6jnXO+4IO5nit/dtX0/5Xfb5eLBsOnr3kMTDfSp+vsp6/hfKvDyCDjJ8EGby9zy94Xv7Z/48UDS4q33f/XhqWcq5KS0QUCDC8H8sQ5HaNpNzCzLSdPpinl5e/eo32QcPMueiPhFlwP5q1Xa5rVE5em7ZZrm1QVpveMBt4QrJdJg1o6xqFaM5Sm9XfafRhemfG1ksOys/+tE5+W3tx5XpzEruHOtbQCfviklJk1/HzrgnrMAWBuTI74DZYjw4DB/afuqBzXAHWfLq+cXlZtS9Gth9Lu15XTiEwfpI674svvXh9PQ2lnsYg4ydBBhLtifL4nMdl5dGVUjKspPzQ4wepFlnNJ/tCRBRI0FEaAQaLZV4uhC/MoYSh/9lBExtW10azm/tSAWiCu+qDeXL4bILOOL7prYyHGG84eEZmbDyqlSiMgPtzw2F93oc71UxzO8wIXC4yzDXRJQ7BuF/9ChE6yg5LLmA9OrzuSSsOyJNd6siTXWtrX7wLSSnSsmqULu3ycKcarorZhcQUnbn3/tQZelGNev/Wptpnb9CUda7lH7DyeVySXfdryA0N5IHxzttXK1VEO6q7D1yAb+9rpf200DyZ/mfDbmokB07FaQXvhiYVPLLOU3oMMn4UZOB80nl5cNaDsvX0VqlUrJKM6TZGqkZW9dn+EBFRzuGgXbJYSJrlU/IbwtXlrGeUkGzXFc0xmtLdqfOJ2qyHSSrdobqFUBUe4mwe/HlltC7BEBpsk7Y1S0r7WhenqDgemyDfLdorx2IT5MPbm+X7OkvAIONnQQZOxp+U/n/3lwPnDojNYpPetXrLgKYDpEpEFZ/uFxERUaAevwvP/Ml+oHR4aRl73VhpX7G92A27TN01VReYfG3Ra3IglhNsERERXS5WZHxk/Yn1Mmr9KFl8yNlBDBWanjV7yiNNH2H/GSIiKvRi2bTk30HGtPHERg00/x36T69bLVbpUaOHPNLkEalZIm0nMSIiosIilkEmMIKMadPJTTJ6/WhZcHCBXreIRa6rfp1WaOpG1fX17hEREXkVg0yABRnTllNbZMyGMTL3wFzXNkyid2+De6VT5U5asQHzY8vrlOlERET+iEEmQIOMafvp7TJ241iZvX+2OAzn4mQYtl08tLiOfjodf1rnpBnSdoh0rdrV17tLRETkUQwyAR5kTIfPH5bJ2ybL/+38PzmXlPHsj3fXv1uea/WchNoyn7mSiIgokDDIFJAgY4pLjpOlh5fqmk2lwktJVFiUTN46WSZsmaA/rxNVR5674jm5svyVEmIL8fXuEhER5QmDTAELMplZdGiRDFk0RE4nnNbrRYKKSIdKHaRDxQ5Sr2Q9qVm8phQJLiJ2h132x+6X7THbtamqW7VuDDxEROS3GGQKSZAB9JkZtW6UzIueJyfi064Wi9FP5YuWl5iEGEmwJ7i2V4+sLq+3e10rOERERP6GQaYQBRkTKi1bT22V+Qfny9pja2XnmZ2uSg2EB4XrUO6D5w7KqYRTug3LJKA6k+JIkWRHso6KqlysslSOqKwdi9M/PkIT7n/o/CGt6OB2uH362xIREeUFg0whDDIZORV/SpuU0K8GazohqMQmxcrnaz6Xn7f/LIZk/vEjnITZwjTkYEkF9NNJciRleFvcDnA7nBBuMJrqmqrXSNMyTV3DxomIiHKCQSZVYQ8yWdlwYoPOKnw28ax2Ig62BkuSPUkOnj+olZeMYCkFNFVhKHiiPTFNdSczGCZev2R9bc6qUbyGjq46k3hGm7viU+KlSZkmuv4U1qIiIiICBplUDDK5g+oLAk2yPVlDDk5hQWFStkhZDTzuEEZOxp0Uq9WqQQf9crCWFCb1W3hwoZxPPp+j56wXVU+qRlaV80nn9T5o6mpTvo30rt0709mNMSR99bHVWmVCxalqRFUNTpwokIgosDHIpGKQ8S1UeDaf2ix7z+6VfWf36XmykSwlQ0vqEHKEnlXHVumMxlk1c6Gi07ZCWw1RaKbC464+vlo2n9ysTVnuigYXlaJBRZ1VJluwBht0asb9m5Vpprc5euGo9vNBH6KElATtCI3HxH1LhJbQfUPlCAEpNjFWz3E9MiRSIkMjpVSYs6kOj09ERJ7HIJOKQSYwIFCsOLJCzyNCIqRYcDFtupq1b5Z2XkY/ncxgtfDyRcrLgXMHNKBkFYgQhPBYWd0mp1B9QphBcxma2soVKacVq2IhxfR1oH8Smt0QfnAbDIXHvmY27B2VKFSYUI3CCZcvJF/Qc1Sn8FyoTOF5zIoTKmZxKXH6ftmstjy/JiIif8Egk4pBJvCdSTgj/+z/RzstY+SUGWoalmqoVZYKxSq4bovwg9mQUWXB7dA5+UDsAVl2ZJmezFFcGMFVoWgFKRNeRi+HBoVqxQXBAX13YhJjJDElUasvCCIIV3hss0KDYe64bW7CD0Z6IdjgFJ8cL7vP7pbdZ3anGWGWlYjgCA1L6NuEEAOoUqHyhH5GCHXVi1fX0ITnwnPgsfGa9ByvLyFGA5LZCRy3w33xOPgPoQidvbEN1Sc0K14O/Fk5FndMnwfvMx7LE819+Pzx/pcIK5HnxyIi/8Ygk4pBhkz4VUfn5KIhRSUqNCpPB1Y81vG447Ln7B49oRKE6zihmmKGCjwPOjajSQ23y66/EJrDzKCCKot5jgCkzXOx+y5pSvMG7BNCD15T+hNCIAILQhI6ie85s0eH/rsvqYEmO1StUJXCRI2oLGFkW7w93lWJwmvbEbNDdpzeoY+FoNqyXEtpXqa5HI8/rpM/Ljm0RAMZwhc6iOOEMIrb44RwWa5oOX1s3Ab7diHpgpxLPqfPY4ZUc3/Ny6h43V73drm6ytWXhGisSF+xWEXdj6yaErE+GvqGmWEXIbN1+dY6cs/b1TIE+SMXjsiR80fk8IXDehnVSLwOBEv0JcP7ROTPGGRSMciQv8A/NVRyEGgQSnDCsPVaJWpJ7RK1tUKDWZizgn48uB+qQ+jLg0oHKkqoziBE4IS+PwgF6JOEywhC6PODEwKWeY5wgoAQfS5aTzhoo8kN+5lipOh1PF5mQ+6zg/CF/ctppckfYF6lF698Ud+zX3b8Il+s/UKDCeB9blWula5G36R0E2lQqoF+flg6ZNzmcVrxywgC3L0N75Uba97o+gzx+aH6hfcIIQfBA58VgjaCB6qAqKjhhM8ZP8NnhOqi+XnhtqcTT2tYNj9XBDlUJLMbSQjoSH9fo/ukY6WOl0yPgN8B/E4hAGkQSg1EaC51/33C/XA7nNDpH5U9hNT0TaDehv3Be4EKHn6n8dn5+6hIhHmEYQx4QBN1VvD7g8/ociulgYZBJhWDDFHu4c8DqhkINDiImWHJPGEbDmCo1pgHU3zbx4EMwQz9gXCQxsEVB99dZ3Y5qy4xO+TYhWMa3HBgRJUMB3zzIIiD84aTG2Tt8bU6TQACEZbdwPIb+PmaY2tkyeElGh7wRx3PjRMOWEfjjjoP8ukmg8TzoEnK7GiOgGDuM/pXTdw6UQ98ZcPL6jYs5wEIEzjIpA9kCCF43ajCmdfR1IkDJvYXj/Xnnj+1IucLWK7ErMDghKoTwgg+CwQj7B+gStaibAs9+JvTIiDAmM2WuYX3FsEPHe0R/PAeo2K17vg6fXw8v1YXDedacQiIqGCVKVJGJ/bcdHKT/p7gdwjvM5o4EfrMIIdwhduicocTmn9XH10tK4+u1Oba9PBl4arKV+kJAcAMg/g9RjM09sfcJ9e54+J1nNCMjSogXhd+d/G7hwEH606s099nvGcY8YnwdG3Va6Vb9W5pRnmiTxt+rxCycF+EWrxGhOGNJze6qq0Vi1aUZmWb6b8l3AaDEXAfvG8Is/idQ/W2U6VO0qNmD+lcubN+bhg4seroKv25+YXFPJn/Rs3fefybyAj2H//u1hxfo9dR8cQJFTx86XK/H97Dfw/8q6fX2r6mn6MnMcikYpAhKpzwhx8HKDRr4Y9+dnCAHbp4qFazAAfGp1o8pU1OqDzsjNmpBxz8kcdBx1wOBH/Yb61zq1ZdEBzcIeT9sfsP+WHLD9rHC/BY6I9lVr6wjzjYIcihooGD2Nmks3p7nPAYCFf4GZrLzBO+ueOghABiNq0hvOBgi8fIql8SwsykrZPk152/ZtnXC4+PxzIfEyHtQoqzHxmeD68Bz2NOnrk3dq++T6ga+qIJ1B32B68f/yEImMHNE/D7hKCOqicCYmYQIPs16Kdzb+Fg/9/B//SLQWZQiUGwutx9DbIE6e/S5cDvCgINqn/4Hca/EzR943c7s8EV+N3FfGD4MoGwiM/a9GTzJ+XRZo+KJzHIpGKQIaKcQmj4buN3ev5Qk4f0QJ5VZ2Y0EzYq1SjbJTpwe3xbR3UBBx33gGH+Cc4odOBnOFDm1wKv6Dc0Y+8MbYpChco84cCLg3Bumy5QbcCUCqiO4ITLCF/NyzbXKRBQBUIYwIERrw9VN4xaXH50uVa/MKdUo9KNtNKCQKQjAONP6cHa7P+E0IhAhsfGFA8IdHh8VHWuKHeFHqRN+NniQ4tl4aGFGkbdl2JBExj6PplNfenP8bmY82Nti9mm/bRQ2TKhUoSKltk0jICA9/PXHb9m2KyK9xeBEOEVgRaVjnYV2km7iu30NaEigmokgjVCDQIZ+nohbGBfzRCLn83cO1M/P1TYsI/4Xbyi/BVSI7KGK+BiX8ygq6f409k2F+OzRyUNz3ki7oScTHAuTZNRVRLVqS5Vu2hfMPzeeBKDTCoGGSKiwIDDEf7z5yVNsI9oJtsVs0ubUhAsMgqhCHN/7v5Tftr+k1aE0PyDgz2a2TzZ+dtI3R80/2TXx868PapwZrBBFQbhCduwXwhlCHkZvSaEmq2nt2olBtUjNNPl5zp7DDKpGGSIiIgK7vHbf2MvERERUTYYZIiIiChgMcgQERFRwGKQISIiooDFIENEREQBy6+DzIgRI+TKK6+UiIgIKVu2rPTp00e2b3fOtklERETk10FmwYIFMnDgQFm2bJnMnj1bkpOT5brrrpMLFy5/1WEiIiIqeAJqHpkTJ05oZQYB56qrrsrRfTiPDBERUeApkPPI4MVAyZIZTxtOREREhUv2K6n5CaxCOmjQIOnQoYM0btw409slJibqyT3RERERUcEUMBUZ9JXZtGmTTJkyJdsOwihFmacqVap4bR+JiIjIuwKij8yTTz4pv//+uyxcuFBq1KiR5W0zqsggzLCPDBERUcHrI+PXTUvIWE899ZRMnTpV5s+fn22IgdDQUD0RERFRwRfk781JkyZN0moM5pI5evSobkdCCw8P9/XuERERkY/5ddOSxWLJcPu4cePk/vvvz9FjoCRVokQJiY6OZtMSERFRgDC7hpw5c0YLGAFZkfFExjp37pyes9MvERFR4MFxPKsg49cVGU8N2z58+LA2TWVW4clLUmSlJ//xvfYOvs/ewffZO/g+B/77jHiCEFOxYkWxWq2BWZHxBLz4ypUr59vj44PjPxLv4HvtHXyfvYPvs3fwfQ7s9zmrSkzAzSNDRERElB6DDBEREQUsBplcwlw1b7zxBues8QK+197B99k7+D57B9/nwvM+F/jOvkRERFRwsSJDREREAYtBhoiIiAIWgwwREREFLAYZIiIiClgMMln46quvpHr16hIWFiZt2rSRFStWZHn7X375RerXr6+3b9KkicyYMcNr+1qY3uuxY8dKp06dJCoqSk/XXntttp8N5e532jRlyhSdGbtPnz75vo+F8X3GWjJYJLdChQo6+qNu3br8+5EP7/PIkSOlXr16uugwZqMdPHiwJCQkeG1/A9HChQulV69eOrsu/gZMmzYt2/vMnz9fWrZsqb/LtWvXlvHjx+fvTmLUEl1qypQpRkhIiPH9998bmzdvNgYMGGCUKFHCOHbsWIa3X7x4sWGz2YwPPvjA2LJli/Haa68ZwcHBxsaNG72+7wX9ve7bt6/x1VdfGWvXrjW2bt1q3H///Ubx4sWNgwcPen3fC/L7bNq7d69RqVIlo1OnTsZNN93ktf0tLO9zYmKi0apVK+OGG24wFi1apO/3/PnzjXXr1nl93wvy+zxx4kQjNDRUz/Eez5o1y6hQoYIxePBgr+97IJkxY4YxZMgQ47fffsMIZ2Pq1KlZ3n7Pnj1GkSJFjGeffVaPhV988YUeG2fOnJlv+8ggk4nWrVsbAwcOdF232+1GxYoVjREjRmR4+zvuuMPo2bNnmm1t2rQxHn300Xzf18L2XqeXkpJiREREGBMmTMjHvSyc7zPe2/bt2xvffvut0b9/fwaZfHifR40aZdSsWdNISkry4l4WvvcZt+3atWuabTjYdujQId/3taCQHASZF1980WjUqFGabXfeeafRvXv3fNsvNi1lICkpSVavXq1NFu5rNuH60qVLM7wPtrvfHrp3757p7Sn373V6cXFxkpycLCVLlszHPS2c7/OwYcOkbNmy8tBDD3lpTwvf+zx9+nRp166dNi2VK1dOGjduLO+++67Y7XYv7nnBf5/bt2+v9zGbn/bs2aPNdzfccIPX9rswWOqDY2GBXzQyN06ePKl/RPBHxR2ub9u2LcP7HD16NMPbYzt59r1O76WXXtL22/T/eChv7/OiRYvku+++k3Xr1nlpLwvn+4wD6r///iv9+vXTA+uuXbvkiSee0HCOGVPJM+9z37599X4dO3bUVZVTUlLksccek1dffdVLe104HM3kWIhVsuPj47V/kqexIkMB7b333tOOqFOnTtUOf+QZ586dk3vvvVc7VpcuXdrXu1OgORwOrXqNGTNGrrjiCrnzzjtlyJAhMnr0aF/vWoGCDqiodH399deyZs0a+e233+Svv/6S4cOH+3rXKI9YkckA/nDbbDY5duxYmu24Xr58+Qzvg+2Xc3vK/Xtt+uijjzTIzJkzR5o2bZrPe1q43ufdu3fLvn37dLSC+wEXgoKCZPv27VKrVi0v7HnB/33GSKXg4GC9n6lBgwb6zRZNKCEhIfm+34XhfR46dKiG84cfflivY2TphQsX5JFHHtHgiKYpyrvMjoWRkZH5Uo0BfnIZwB8OfDOaO3dumj/iuI627Ixgu/vtYfbs2ZnennL/XsMHH3yg36RmzpwprVq18tLeFp73GdMIbNy4UZuVzFPv3r2lS5cuehlDV8kzv88dOnTQ5iQzKMKOHTs04DDEeO59Rl+69GHFDI9cctBzfHIszLduxAVgaB+G6o0fP16HkD3yyCM6tO/o0aP683vvvdd4+eWX0wy/DgoKMj766CMdEvzGG29w+HU+vdfvvfeeDrv89ddfjSNHjrhO586d8+GrKHjvc3octZQ/7/OBAwd01N2TTz5pbN++3fjzzz+NsmXLGm+//bYPX0XBe5/xNxnv8+TJk3WI8D///GPUqlVLR5xS5vB3FVNd4ITI8Mknn+jl/fv368/xHuO9Tj/8+oUXXtBjIabK4PBrH8L496pVq+pBE0P9li1b5vpZ586d9Q+7u59//tmoW7eu3h7Dz/766y8f7HXBf6+rVaum/6DSn/CHijz7O+2OQSb/3uclS5bodA04MGMo9jvvvKND38lz73NycrLx5ptvangJCwszqlSpYjzxxBNGTEyMj/Y+MMybNy/Dv7fme4tzvNfp79O8eXP9XPD7PG7cuHzdRwv+l3/1HiIiIqL8wz4yREREFLAYZIiIiChgMcgQERFRwGKQISIiooDFIENEREQBi0GGiIiIAhaDDBEREQUsBhkiKpSwsvd1113n033AEhvNmzdPszwBEV0eBhmiQuj+++8Xi8WiJ6xbU7t2bRk2bJikpKRIYZCQkKCLCL7xxhtptv/yyy+6zhRWUseigjNmzMjT8zz99NO6JlBoaKgGlvSuv/56XTBy4sSJeXoeosKMQYaokMJB9MiRI7Jz50557rnn5M0335QPP/www9tiFeb8kp+PnZlff/1VV+PFgo2mJUuWyN133y0PPfSQrF27Vvr06aOnTZs25em5HnzwQbnzzjuzDJWff/55np6DqDBjkCEqpFAlKF++vFSrVk0ef/xxufbaa2X69OmugysO4u+8845UrFhR6tWrp9uxInbXrl0lPDxcSpUqJY888oicP3/e9Zio6KAKUaJECf35Sy+9JP3799fHMl199dXy5JNPyqBBg6R06dLSvXt33Y7A0KNHDylWrJiUK1dO7r33Xjl58mSa8IEqifnc2N8LFy7oz+bPny+tW7eWokWL6nMjoOzfvz/T1z5lyhTp1atXmm2fffaZhrsXXnhBGjRooKurt2zZUr788sts30usrLx3795LtiOgDBw4UGrWrJnpfbEfq1atkt27d2f7PER0KQYZIlIICO7Vkblz58r27dtl9uzZ8ueff2poQOiIioqSlStXajPMnDlzNJSY3n//fW0mGTdunCxevFhiY2Nl2rRplzzXhAkTtEkLtxk9erScOXNGA1KLFi30oI6+I8eOHZM77rhDb4/KEaolqG5s3bpVg8stt9yCRW81PCEode7cWTZs2CBLly7VgIVms8wsWrRIWrVqlWYb7odw5A6vF9uz8+2330qnTp1yFUaqVq2qwe2///677PsSkUiQr3eAiHwLYQChZdasWfLUU0+5tqO6gQM0AgeMHTtW+5b88MMP+jNAtQIVBQQYHIy/+OILeeWVV+Tmm292/TyjfiZ16tSRDz74wHX97bff1hDz7rvvurZ9//33UqVKFdmxY4dWfRBYEF5QQQJUZ+D06dNy9uxZufHGG6VWrVq6DRWVzCA04faoNLk7evSovgZ3uI7t2cH7hopSly5dNGRlVYHJCPYlqwoSEWWOQYaokEKVBc04ycnJOmqmb9++2k/GhKBghhhAJaRZs2auEANowsF9UblBB1lUUdDEY7LZbNrZNf2oHGxzt379epk3b57uT3qocmB00TXXXKP7hCoJrt92221aHSpZsqQ2hWF7t27dtKqCSk6FChUyfN3x8fF6jv29HOPHj5cHHngg29sNGDBAg+HlVsPQPEVEl49NS0SFFKoH69at086+OLijucc9pLhf9rT0j42KCyo72B/3E/btqquu0kCEJq6///5bGjZsqJUf9Nsx+6WgKQtNQO3bt5effvpJ6tatK8uWLcvwudG/Bs1OMTExabajvxCCmDtcx3ZAlQlhLrMTmrMQxNC35nKhqlSmTJnLvh8RMcgQFVoIExh2jT4aQUHZF2fRXIPKidnBFtDHxWq1aqgoXry4NsWg/4zJbrfLmjVrsn1sdKrdvHmzVK9eXffJ/WSGHoQPVIDeeustHVWEatHUqVNdj4GmKTRrYfRR48aNZdKkSRk+F+6HMLRly5Y029u1a3dJJQXhCdsBrw9DszM6IUTh+RC0EKYuB5rrUHXC/hPR5WOQIaIc6devnzbHYBQS+oOgKQh9QzC6yOxbgusjRoyQ33//XZubnnnmGa18ZNXxFjCyB1UJdOhFEMKBHX120JSDMLR8+XLtP4OOwAcOHJDffvtNTpw4oeEKVRkEGIQJ9DP5559/tJKTVT8ZNEOhw6877Cs6GX/88ceybds2bWbD87l3Zs4MRjthfzt27Jhm+65du7SyhH42qHqZlSb3TtWoHGEEmRmYiOjysI8MEeVIkSJF9GCNA/6VV16p12+99Vb55JNPXLfBcGsctO+77z5tDkJzC0IDLmfX2RXVHdwf/V8SExO1Uy8CAio+mPNl4cKFMnLkSB0JhZ8hcGC4Npp/EDzQNHbq1CntG4Ng9Oijj2b6fJgrBqOW0OkXlRZAJQVVlddee01effVV7ZCMEVeo7mQHz5lRn5yHH35YFixY4LpuVl0QvlB9gsmTJ2tIxPtJRJfPYmDIAhFRPkAnX1RG0Pk2N31H8tPtt9+uTVqo5vgK5slBsxwqPzVq1PDZfhAFMjYtEZHHoGkHw7QxZBqT52GiPVQfMCLK32AW44xGSXnTvn375Ouvv2aIIcoDVmSIyGOio6Plrrvu0j40+NOCZpn33ntPRx4REeUHBhkiIiIKWGxaIiIiooDFIENEREQBi0GGiIiIAhaDDBEREQUsBhkiIiIKWAwyREREFLAYZIiIiChgMcgQERFRwGKQISIiIglU/w/tOBe9qVAAoAAAAABJRU5ErkJggg==", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Compare loss curve shapes (normalize x to 0→1 since step scales differ)\n", "def normalize01(x):\n", " x = np.asarray(x, dtype=float)\n", " if len(x) == 0:\n", " return x\n", " lo, hi = float(np.min(x)), float(np.max(x))\n", " if hi == lo:\n", " return np.zeros_like(x)\n", " return (x - lo) / (hi - lo)\n", "\n", "pre_train = log_df[log_df[\"tag\"] == \"train\"]\n", "pre_val = log_df[log_df[\"tag\"] == \"val\"]\n", "\n", "plt.figure()\n", "\n", "if len(pre_train):\n", " plt.plot(normalize01(pre_train[\"step\"]), pre_train[\"value\"], label=\"pretrain train\")\n", "if len(pre_val):\n", " plt.plot(normalize01(pre_val[\"step\"]), pre_val[\"value\"], label=\"pretrain val\")\n", "if len(sft_df):\n", " plt.plot(normalize01(sft_df[\"step\"]), sft_df[\"loss\"], label=\"SFT train\")\n", "\n", "plt.title(\"Loss Curves (x normalized)\")\n", "plt.xlabel(\"Progress (0→1)\")\n", "plt.ylabel(\"Loss\")\n", "plt.legend()\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n", "To disable this warning, you can either:\n", "\t- Avoid using `tokenizers` before the fork if possible\n", "\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n" ] } ], "source": [ "# Optional: run HellaSwag evals (pre vs post-SFT) and plot as a bar chart\n", "# This runs evals.py as a subprocess and parses the final acc_norm printed.\n", "\n", "import subprocess\n", "\n", "def run_hellaswag_acc(model_dir: Path, device: str = \"cpu\") -> float:\n", " model_dir = Path(model_dir)\n", " if not model_dir.exists():\n", " raise FileNotFoundError(f\"Missing model dir: {model_dir}\")\n", " cmd = [\"python\", \"evals.py\", \"-m\", str(model_dir), \"-d\", device]\n", " p = subprocess.run(cmd, capture_output=True, text=True)\n", " if p.returncode != 0:\n", " raise RuntimeError(p.stderr[-2000:])\n", "\n", " matches = re.findall(r\"acc_norm:\\s*\\d+/\\d+=([0-9.]+)\", p.stdout)\n", " if not matches:\n", " raise ValueError(\"Could not parse acc_norm from eval output.\\n\" + p.stdout[-2000:])\n", " return float(matches[-1])\n", "\n", "# device: use 'cuda' if you have a GPU locally; otherwise 'cpu'\n", "device = \"mps\"\n", "\n", "pre_acc = run_hellaswag_acc(HF_PRETRAIN_DIR, device=device)\n", "sft_acc = run_hellaswag_acc(HF_SFT_MERGED_DIR, device=device)\n", "\n", "acc_df = pd.DataFrame([\n", " {\"stage\": \"pretrained\", \"acc_norm\": pre_acc},\n", " {\"stage\": \"after_sft_merged\", \"acc_norm\": sft_acc},\n", "])\n", "\n", "plt.figure()\n", "plt.bar(acc_df[\"stage\"], acc_df[\"acc_norm\"])\n", "plt.title(\"HellaSwag acc_norm (Pretrain vs After SFT)\")\n", "plt.xlabel(\"Stage\")\n", "plt.ylabel(\"Accuracy\")\n", "plt.show()\n", "\n", "acc_df\n" ] } ], "metadata": { "kernelspec": { "display_name": ".venv", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.6" } }, "nbformat": 4, "nbformat_minor": 4 }