{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "abdd30df-55d2-4a77-9b18-ca4ca6fe35d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "os.environ[\"HF_HUB_DISABLE_SYMLINKS_WARNING\"] = \"1\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "25d7c5b8-9311-41f3-8a8d-887ecf8718c6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ تم حفظ البيانات بعد المعالجة بنجاح!\n"
     ]
    }
   ],
   "source": [
    "#🔹 1. ملف preprocessing.py (تنظيف وتحضير البيانات)\n",
    "import pandas as pd\n",
    "import os\n",
    "import pickle\n",
    "\n",
    "# ✅ تحميل البيانات\n",
    "file_path = r\"D:\\PHD Dream\\THESIS\\dataset\\new excel files dataset\\Jordan News Agencies Websites.xlsx\"\n",
    "df = pd.read_excel(file_path)\n",
    "\n",
    "# ✅ تحديد أسماء الأعمدة\n",
    "main_category_col = \"Predominant Main Category\"\n",
    "sub_category_col = \"Predominant Sub Category\"\n",
    "real_fake_col = \"Predominant Fake/Real\"\n",
    "text_col = \"Clean text\"\n",
    "\n",
    "# ✅ التحقق من الأعمدة المطلوبة\n",
    "required_columns = [main_category_col, sub_category_col, real_fake_col, text_col]\n",
    "if not all(col in df.columns for col in required_columns):\n",
    "    print(\"⚠️ تأكد من صحة أسماء الأعمدة في ملف الإكسل!\")\n",
    "    exit()\n",
    "\n",
    "# ✅ إزالة القيم الفارغة\n",
    "df = df.dropna(subset=required_columns)\n",
    "\n",
    "# ✅ تحويل التصنيفات إلى أرقام\n",
    "main_category_labels = {label: idx for idx, label in enumerate(df[main_category_col].unique())}\n",
    "sub_category_labels = {label: idx for idx, label in enumerate(df[sub_category_col].unique())}\n",
    "real_fake_labels = {label: idx for idx, label in enumerate(df[real_fake_col].unique())}\n",
    "\n",
    "df[\"Main_Category_Label\"] = df[main_category_col].map(main_category_labels)\n",
    "df[\"Sub_Category_Label\"] = df[sub_category_col].map(sub_category_labels)\n",
    "df[\"Real_Fake_Label\"] = df[real_fake_col].map(real_fake_labels)\n",
    "\n",
    "# ✅ **حفظ البيانات المنظفة**\n",
    "processed_file = \"processed_data.pkl\"\n",
    "with open(processed_file, \"wb\") as f:\n",
    "    pickle.dump(df, f)\n",
    "\n",
    "print(\"✅ تم حفظ البيانات بعد المعالجة بنجاح!\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "4b513845-b523-4bd3-bdfe-4ad4e7551413",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "⚠️ حساب التمثيلات العددية الآن...\n",
      "✅ تم حفظ التمثيلات العددية بنجاح!\n"
     ]
    }
   ],
   "source": [
    "# 🔹 2. ملف generate_embeddings.py (حساب التمثيلات العددية embeddings)\n",
    "\n",
    "import pandas as pd\n",
    "import torch\n",
    "import numpy as np\n",
    "import os\n",
    "import pickle\n",
    "from transformers import AutoTokenizer, AutoModel\n",
    "\n",
    "# ✅ تحميل النموذج\n",
    "MODEL_NAME = \"aubmindlab/bert-base-arabertv2\"\n",
    "tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)\n",
    "model = AutoModel.from_pretrained(MODEL_NAME)\n",
    "\n",
    "# ✅ تحميل البيانات المعالجة\n",
    "with open(\"processed_data.pkl\", \"rb\") as f:\n",
    "    df = pickle.load(f)\n",
    "\n",
    "embeddings_file = \"embeddings.pkl\"\n",
    "\n",
    "if os.path.exists(embeddings_file):\n",
    "    print(\"🔄 تحميل التمثيلات العددية المحفوظة...\")\n",
    "    with open(embeddings_file, \"rb\") as f:\n",
    "        embeddings = pickle.load(f)\n",
    "else:\n",
    "    print(\"⚠️ حساب التمثيلات العددية الآن...\")\n",
    "\n",
    "    def get_embeddings(text):\n",
    "        inputs = tokenizer(text, return_tensors=\"pt\", padding=True, truncation=True, max_length=512)\n",
    "        with torch.no_grad():\n",
    "            outputs = model(**inputs)\n",
    "        return outputs.last_hidden_state[:, 0, :].squeeze().numpy()\n",
    "\n",
    "    df[\"embeddings\"] = df[\"Clean text\"].apply(lambda x: get_embeddings(x) if isinstance(x, str) else np.zeros(768))\n",
    "    \n",
    "    embeddings = np.vstack(df[\"embeddings\"].values)\n",
    "    with open(embeddings_file, \"wb\") as f:\n",
    "        pickle.dump(embeddings, f)\n",
    "\n",
    "print(\"✅ تم حفظ التمثيلات العددية بنجاح!\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c8714510-dd84-4b0c-955e-68e09afbd8e4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "📌 بعد إزالة الفئات القليلة جدًا: 50024 عينة متبقية\n",
      "📌 بعد إزالة الفئات القليلة جدًا: 50025 عينة متبقية\n",
      "📌 بعد إزالة الفئات القليلة جدًا: 50025 عينة متبقية\n",
      "✅ تم حفظ البيانات في train_test_data_main.pkl\n",
      "✅ تم حفظ البيانات في train_test_data_sub.pkl\n",
      "✅ تم حفظ البيانات في train_test_data_rf.pkl\n"
     ]
    }
   ],
   "source": [
    "#3 إعداد البيانات لكل تصنيف على حدة، مع مراعاة إزالة الفئات ذات العينات القليلة وإعادة توازن البيانات باستخدام تقنية SMOTE\n",
    "import pickle\n",
    "import numpy as np\n",
    "from sklearn.model_selection import train_test_split\n",
    "from imblearn.over_sampling import SMOTE\n",
    "from collections import Counter\n",
    "\n",
    "# ✅ تحميل البيانات\n",
    "with open(\"processed_data.pkl\", \"rb\") as f:\n",
    "    df = pickle.load(f)\n",
    "\n",
    "with open(\"embeddings.pkl\", \"rb\") as f:\n",
    "    X = pickle.load(f)\n",
    "\n",
    "# ✅ تحميل التصنيفات\n",
    "y_main = df[\"Main_Category_Label\"].values\n",
    "y_sub = df[\"Sub_Category_Label\"].values\n",
    "y_real_fake = df[\"Real_Fake_Label\"].values\n",
    "\n",
    "# ✅ إزالة الفئات التي تحتوي على أقل من عينتين\n",
    "def remove_low_samples(X, y, min_samples=2):\n",
    "    class_counts = Counter(y)\n",
    "    valid_classes = {cls for cls, count in class_counts.items() if count >= min_samples}\n",
    "    mask = np.isin(y, list(valid_classes))\n",
    "    X_filtered = X[mask]\n",
    "    y_filtered = y[mask]\n",
    "    print(f\"📌 بعد إزالة الفئات القليلة جدًا: {len(y_filtered)} عينة متبقية\")\n",
    "    return X_filtered, y_filtered\n",
    "\n",
    "X_main, y_main = remove_low_samples(X, y_main)\n",
    "X_sub, y_sub = remove_low_samples(X, y_sub)\n",
    "X_rf, y_real_fake = remove_low_samples(X, y_real_fake)\n",
    "\n",
    "# ✅ إعادة توازن البيانات باستخدام SMOTE\n",
    "def apply_smote(X, y):\n",
    "    class_counts = Counter(y)\n",
    "    min_samples = min(class_counts.values())\n",
    "    if min_samples < 2:\n",
    "        print(f\"⚠️ بعض الفئات قليلة جدًا ({min_samples}). سيتم استخدام البيانات الأصلية.\")\n",
    "        return X, y\n",
    "    else:\n",
    "        smote = SMOTE(random_state=42, k_neighbors=1)\n",
    "        return smote.fit_resample(X, y)\n",
    "\n",
    "X_balanced_main, y_main_balanced = apply_smote(X_main, y_main)\n",
    "X_balanced_sub, y_sub_balanced = apply_smote(X_sub, y_sub)\n",
    "X_balanced_rf, y_real_fake_balanced = apply_smote(X_rf, y_real_fake)\n",
    "\n",
    "# ✅ التأكد من وجود عدد كافٍ من العينات قبل التقسيم\n",
    "def check_min_classes(y):\n",
    "    if len(set(y)) < 2:\n",
    "        print(\"❌ خطأ: لا يوجد عدد كافٍ من الفئات المختلفة في البيانات المتوازنة. تحقق من البيانات!\")\n",
    "        return False\n",
    "    return True\n",
    "\n",
    "if not (check_min_classes(y_main_balanced) and check_min_classes(y_sub_balanced) and check_min_classes(y_real_fake_balanced)):\n",
    "    exit()\n",
    "\n",
    "# ✅ تقسيم البيانات لكل تصنيف\n",
    "def split_and_save_data(X, y, filename):\n",
    "    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42, stratify=y)\n",
    "    with open(filename, \"wb\") as f:\n",
    "        pickle.dump((X_train, X_test, y_train, y_test), f)\n",
    "    print(f\"✅ تم حفظ البيانات في {filename}\")\n",
    "\n",
    "split_and_save_data(X_balanced_main, y_main_balanced, \"train_test_data_main.pkl\")\n",
    "split_and_save_data(X_balanced_sub, y_sub_balanced, \"train_test_data_sub.pkl\")\n",
    "split_and_save_data(X_balanced_rf, y_real_fake_balanced, \"train_test_data_rf.pkl\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "43e25b6a-1e91-423e-9d1b-4257615c8886",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "⚠️ تدريب نموذج الغابة العشوائية لأول مرة لتصنيف Main Category...\n",
      "\n",
      "📊 Random Forest - Main Category Classification:\n",
      "✅ Accuracy: 0.9435593549640567\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.73      0.80      0.77      1871\n",
      "           1       0.97      0.98      0.97      1871\n",
      "           2       0.95      0.97      0.96      1872\n",
      "           3       0.97      1.00      0.98      1872\n",
      "           4       0.99      1.00      0.99      1872\n",
      "           5       0.91      0.84      0.87      1871\n",
      "           6       0.97      0.98      0.97      1872\n",
      "           7       0.92      0.83      0.87      1872\n",
      "           8       0.99      1.00      0.99      1871\n",
      "           9       0.93      0.85      0.89      1872\n",
      "          10       0.97      0.96      0.96      1872\n",
      "          11       1.00      1.00      1.00      1871\n",
      "          12       0.99      0.99      0.99      1872\n",
      "          13       1.00      1.00      1.00      1871\n",
      "          14       0.98      0.97      0.98      1872\n",
      "          15       0.99      1.00      1.00      1871\n",
      "          16       1.00      1.00      1.00      1872\n",
      "          17       0.83      0.81      0.82      1872\n",
      "          18       1.00      1.00      1.00      1872\n",
      "          19       1.00      1.00      1.00      1872\n",
      "          20       0.93      0.97      0.95      1871\n",
      "          21       0.77      0.80      0.78      1872\n",
      "\n",
      "    accuracy                           0.94     41176\n",
      "   macro avg       0.94      0.94      0.94     41176\n",
      "weighted avg       0.94      0.94      0.94     41176\n",
      "\n",
      "⚠️ تدريب نموذج الغابة العشوائية لأول مرة لتصنيف Sub Category...\n",
      "\n",
      "📊 Random Forest - Sub Category Classification:\n",
      "✅ Accuracy: 0.9751290560471977\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.72      0.65      0.69      1446\n",
      "           1       1.00      1.00      1.00      1447\n",
      "           2       0.80      0.47      0.59      1447\n",
      "           3       0.96      1.00      0.98      1446\n",
      "           4       1.00      1.00      1.00      1446\n",
      "           5       0.98      1.00      0.99      1446\n",
      "           6       1.00      1.00      1.00      1446\n",
      "           7       1.00      1.00      1.00      1446\n",
      "           8       0.95      0.99      0.97      1446\n",
      "           9       0.97      0.98      0.98      1446\n",
      "          10       1.00      1.00      1.00      1446\n",
      "          11       1.00      1.00      1.00      1447\n",
      "          12       0.84      0.96      0.89      1446\n",
      "          13       0.85      0.72      0.78      1446\n",
      "          14       1.00      1.00      1.00      1447\n",
      "          15       1.00      1.00      1.00      1447\n",
      "          16       1.00      1.00      1.00      1446\n",
      "          17       0.99      1.00      1.00      1446\n",
      "          18       0.98      1.00      0.99      1446\n",
      "          19       1.00      1.00      1.00      1446\n",
      "          20       1.00      1.00      1.00      1447\n",
      "          21       0.99      1.00      1.00      1447\n",
      "          22       1.00      1.00      1.00      1446\n",
      "          23       1.00      1.00      1.00      1447\n",
      "          24       1.00      1.00      1.00      1447\n",
      "          25       0.99      1.00      1.00      1446\n",
      "          26       1.00      1.00      1.00      1447\n",
      "          27       1.00      1.00      1.00      1447\n",
      "          28       1.00      1.00      1.00      1446\n",
      "          29       0.97      1.00      0.98      1447\n",
      "          30       0.98      1.00      0.99      1446\n",
      "          31       0.98      1.00      0.99      1446\n",
      "          32       0.99      1.00      1.00      1447\n",
      "          33       1.00      1.00      1.00      1446\n",
      "          34       1.00      1.00      1.00      1446\n",
      "          35       1.00      1.00      1.00      1446\n",
      "          36       1.00      1.00      1.00      1446\n",
      "          37       0.99      1.00      1.00      1447\n",
      "          38       1.00      1.00      1.00      1446\n",
      "          39       1.00      1.00      1.00      1446\n",
      "          40       1.00      1.00      1.00      1446\n",
      "          41       0.93      0.95      0.94      1447\n",
      "          42       0.99      1.00      1.00      1446\n",
      "          43       1.00      1.00      1.00      1447\n",
      "          44       1.00      1.00      1.00      1446\n",
      "          45       1.00      1.00      1.00      1446\n",
      "          46       1.00      1.00      1.00      1447\n",
      "          47       0.97      0.97      0.97      1446\n",
      "          48       1.00      1.00      1.00      1447\n",
      "          49       1.00      1.00      1.00      1446\n",
      "          50       0.99      1.00      0.99      1446\n",
      "          51       1.00      1.00      1.00      1447\n",
      "          52       1.00      1.00      1.00      1447\n",
      "          53       1.00      1.00      1.00      1446\n",
      "          54       1.00      1.00      1.00      1446\n",
      "          55       1.00      1.00      1.00      1447\n",
      "          56       1.00      1.00      1.00      1446\n",
      "          57       1.00      1.00      1.00      1447\n",
      "          58       1.00      1.00      1.00      1446\n",
      "          59       1.00      1.00      1.00      1447\n",
      "          60       1.00      1.00      1.00      1447\n",
      "          61       1.00      1.00      1.00      1446\n",
      "          62       0.81      0.88      0.84      1446\n",
      "          63       1.00      1.00      1.00      1446\n",
      "          64       1.00      1.00      1.00      1446\n",
      "          65       1.00      1.00      1.00      1447\n",
      "          66       1.00      1.00      1.00      1446\n",
      "          67       0.99      1.00      0.99      1447\n",
      "          68       1.00      1.00      1.00      1447\n",
      "          69       0.78      0.77      0.77      1446\n",
      "          70       0.79      0.84      0.81      1447\n",
      "          71       0.94      0.98      0.96      1447\n",
      "          72       1.00      1.00      1.00      1446\n",
      "          73       1.00      1.00      1.00      1447\n",
      "          74       1.00      1.00      1.00      1446\n",
      "\n",
      "    accuracy                           0.98    108480\n",
      "   macro avg       0.97      0.98      0.97    108480\n",
      "weighted avg       0.97      0.98      0.97    108480\n",
      "\n",
      "⚠️ تدريب نموذج الغابة العشوائية لأول مرة لتصنيف Fake/Real...\n",
      "\n",
      "📊 Random Forest - Fake/Real Classification:\n",
      "✅ Accuracy: 0.9518426407415781\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.97      0.93      0.95      8846\n",
      "           1       0.94      0.97      0.95      8846\n",
      "\n",
      "    accuracy                           0.95     17692\n",
      "   macro avg       0.95      0.95      0.95     17692\n",
      "weighted avg       0.95      0.95      0.95     17692\n",
      "\n",
      "✅ تم تدريب وتقييم جميع نماذج الغابة العشوائية بنجاح!\n"
     ]
    }
   ],
   "source": [
    "#Random Forest Classifier\n",
    "\n",
    "import pickle\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.metrics import accuracy_score, classification_report\n",
    "import os\n",
    "\n",
    "# ✅ تحميل بيانات التدريب لكل تصنيف\n",
    "with open(\"train_test_data_main.pkl\", \"rb\") as f:\n",
    "    X_train_main, X_test_main, y_train_main, y_test_main = pickle.load(f)\n",
    "\n",
    "with open(\"train_test_data_sub.pkl\", \"rb\") as f:\n",
    "    X_train_sub, X_test_sub, y_train_sub, y_test_sub = pickle.load(f)\n",
    "\n",
    "with open(\"train_test_data_rf.pkl\", \"rb\") as f:\n",
    "    X_train_rf, X_test_rf, y_train_rf, y_test_rf = pickle.load(f)\n",
    "\n",
    "# ✅ دالة لتدريب وتقييم نموذج الغابة العشوائية\n",
    "def train_and_evaluate_rf(X_train, y_train, X_test, y_test, model_filename, classification_type):\n",
    "    if os.path.exists(model_filename):\n",
    "        print(f\"🔄 تحميل نموذج الغابة العشوائية المحفوظ لتصنيف {classification_type}...\")\n",
    "        with open(model_filename, \"rb\") as f:\n",
    "            rf_model = pickle.load(f)\n",
    "    else:\n",
    "        print(f\"⚠️ تدريب نموذج الغابة العشوائية لأول مرة لتصنيف {classification_type}...\")\n",
    "        rf_model = RandomForestClassifier(n_estimators=100, random_state=42)\n",
    "        rf_model.fit(X_train, y_train)\n",
    "        with open(model_filename, \"wb\") as f:\n",
    "            pickle.dump(rf_model, f)\n",
    "\n",
    "    # ✅ تقييم النموذج\n",
    "    y_pred = rf_model.predict(X_test)\n",
    "    print(f\"\\n📊 Random Forest - {classification_type} Classification:\")\n",
    "    print(\"✅ Accuracy:\", accuracy_score(y_test, y_pred))\n",
    "    print(classification_report(y_test, y_pred))\n",
    "\n",
    "# ✅ تدريب وتقييم النماذج لكل تصنيف\n",
    "train_and_evaluate_rf(X_train_main, y_train_main, X_test_main, y_test_main, \"rf_model_main.pkl\", \"Main Category\")\n",
    "train_and_evaluate_rf(X_train_sub, y_train_sub, X_test_sub, y_test_sub, \"rf_model_sub.pkl\", \"Sub Category\")\n",
    "train_and_evaluate_rf(X_train_rf, y_train_rf, X_test_rf, y_test_rf, \"rf_model_rf.pkl\", \"Fake/Real\")\n",
    "\n",
    "print(\"✅ تم تدريب وتقييم جميع نماذج الغابة العشوائية بنجاح!\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "24427ade-4798-45bf-80e7-0a80d8e2af4d",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🔄 تحميل البيانات: train_test_data_main.pkl\n",
      "🔄 تحميل البيانات: train_test_data_sub.pkl\n",
      "🔄 تحميل البيانات: train_test_data_rf.pkl\n",
      "✅ تم تحميل البيانات بنجاح!\n",
      "🔄 تحميل نموذج Extra Trees المحفوظ لتصنيف Main Category...\n",
      "\n",
      "📊 Extra Trees Classifier - Main Category Classification:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.75      0.84      0.79      1871\n",
      "           1       0.98      0.98      0.98      1871\n",
      "           2       0.96      0.98      0.97      1872\n",
      "           3       0.98      1.00      0.99      1872\n",
      "           4       0.99      1.00      0.99      1872\n",
      "           5       0.93      0.85      0.89      1871\n",
      "           6       0.97      0.99      0.98      1872\n",
      "           7       0.93      0.85      0.88      1872\n",
      "           8       0.99      1.00      1.00      1871\n",
      "           9       0.94      0.87      0.90      1872\n",
      "          10       0.98      0.96      0.97      1872\n",
      "          11       1.00      1.00      1.00      1871\n",
      "          12       0.99      1.00      0.99      1872\n",
      "          13       1.00      1.00      1.00      1871\n",
      "          14       0.98      0.98      0.98      1872\n",
      "          15       1.00      1.00      1.00      1871\n",
      "          16       1.00      1.00      1.00      1872\n",
      "          17       0.84      0.82      0.83      1872\n",
      "          18       1.00      1.00      1.00      1872\n",
      "          19       1.00      1.00      1.00      1872\n",
      "          20       0.95      0.98      0.96      1871\n",
      "          21       0.79      0.84      0.81      1872\n",
      "\n",
      "    accuracy                           0.95     41176\n",
      "   macro avg       0.95      0.95      0.95     41176\n",
      "weighted avg       0.95      0.95      0.95     41176\n",
      "\n",
      "\n",
      "🔄 Summary: \n",
      "✅ Accuracy: 0.9508\n",
      "✅ Precision (Macro Avg): 0.9519\n",
      "✅ Recall (Macro Avg): 0.9508\n",
      "✅ F1-Score (Macro Avg): 0.9509\n",
      "🔄 تحميل نموذج Extra Trees المحفوظ لتصنيف Sub Category...\n",
      "\n",
      "📊 Extra Trees Classifier - Sub Category Classification:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.74      0.66      0.70      1446\n",
      "           1       1.00      1.00      1.00      1447\n",
      "           2       0.83      0.52      0.64      1447\n",
      "           3       0.97      1.00      0.98      1446\n",
      "           4       1.00      1.00      1.00      1446\n",
      "           5       0.99      1.00      0.99      1446\n",
      "           6       1.00      1.00      1.00      1446\n",
      "           7       1.00      1.00      1.00      1446\n",
      "           8       0.96      1.00      0.98      1446\n",
      "           9       0.97      0.98      0.98      1446\n",
      "          10       1.00      1.00      1.00      1446\n",
      "          11       1.00      1.00      1.00      1447\n",
      "          12       0.86      0.96      0.91      1446\n",
      "          13       0.84      0.73      0.78      1446\n",
      "          14       1.00      1.00      1.00      1447\n",
      "          15       1.00      1.00      1.00      1447\n",
      "          16       1.00      1.00      1.00      1446\n",
      "          17       1.00      1.00      1.00      1446\n",
      "          18       0.98      0.99      0.99      1446\n",
      "          19       1.00      1.00      1.00      1446\n",
      "          20       1.00      1.00      1.00      1447\n",
      "          21       1.00      1.00      1.00      1447\n",
      "          22       1.00      1.00      1.00      1446\n",
      "          23       1.00      1.00      1.00      1447\n",
      "          24       1.00      1.00      1.00      1447\n",
      "          25       0.99      1.00      1.00      1446\n",
      "          26       1.00      1.00      1.00      1447\n",
      "          27       1.00      1.00      1.00      1447\n",
      "          28       1.00      1.00      1.00      1446\n",
      "          29       0.98      1.00      0.99      1447\n",
      "          30       0.99      1.00      1.00      1446\n",
      "          31       0.99      1.00      0.99      1446\n",
      "          32       1.00      1.00      1.00      1447\n",
      "          33       1.00      1.00      1.00      1446\n",
      "          34       1.00      1.00      1.00      1446\n",
      "          35       1.00      1.00      1.00      1446\n",
      "          36       1.00      1.00      1.00      1446\n",
      "          37       1.00      1.00      1.00      1447\n",
      "          38       1.00      1.00      1.00      1446\n",
      "          39       1.00      1.00      1.00      1446\n",
      "          40       1.00      1.00      1.00      1446\n",
      "          41       0.94      0.95      0.95      1447\n",
      "          42       1.00      1.00      1.00      1446\n",
      "          43       1.00      1.00      1.00      1447\n",
      "          44       1.00      1.00      1.00      1446\n",
      "          45       1.00      1.00      1.00      1446\n",
      "          46       1.00      1.00      1.00      1447\n",
      "          47       0.98      0.97      0.98      1446\n",
      "          48       1.00      1.00      1.00      1447\n",
      "          49       1.00      1.00      1.00      1446\n",
      "          50       0.99      1.00      1.00      1446\n",
      "          51       1.00      1.00      1.00      1447\n",
      "          52       1.00      1.00      1.00      1447\n",
      "          53       1.00      1.00      1.00      1446\n",
      "          54       1.00      1.00      1.00      1446\n",
      "          55       1.00      1.00      1.00      1447\n",
      "          56       1.00      1.00      1.00      1446\n",
      "          57       1.00      1.00      1.00      1447\n",
      "          58       1.00      1.00      1.00      1446\n",
      "          59       1.00      1.00      1.00      1447\n",
      "          60       1.00      1.00      1.00      1447\n",
      "          61       1.00      1.00      1.00      1446\n",
      "          62       0.84      0.90      0.87      1446\n",
      "          63       1.00      1.00      1.00      1446\n",
      "          64       1.00      1.00      1.00      1446\n",
      "          65       1.00      1.00      1.00      1447\n",
      "          66       1.00      1.00      1.00      1446\n",
      "          67       0.99      1.00      1.00      1447\n",
      "          68       1.00      1.00      1.00      1447\n",
      "          69       0.77      0.80      0.78      1446\n",
      "          70       0.78      0.87      0.82      1447\n",
      "          71       0.94      0.99      0.96      1447\n",
      "          72       1.00      1.00      1.00      1446\n",
      "          73       1.00      1.00      1.00      1447\n",
      "          74       1.00      1.00      1.00      1446\n",
      "\n",
      "    accuracy                           0.98    108480\n",
      "   macro avg       0.98      0.98      0.98    108480\n",
      "weighted avg       0.98      0.98      0.98    108480\n",
      "\n",
      "\n",
      "🔄 Summary: \n",
      "✅ Accuracy: 0.9775\n",
      "✅ Precision (Macro Avg): 0.9769\n",
      "✅ Recall (Macro Avg): 0.9775\n",
      "✅ F1-Score (Macro Avg): 0.9766\n",
      "⚠️ تدريب نموذج Extra Trees لأول مرة لتصنيف Fake/Real...\n",
      "\n",
      "📊 Extra Trees Classifier - Fake/Real Classification:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.98      0.93      0.95      8846\n",
      "           1       0.93      0.98      0.96      8846\n",
      "\n",
      "    accuracy                           0.95     17692\n",
      "   macro avg       0.96      0.95      0.95     17692\n",
      "weighted avg       0.96      0.95      0.95     17692\n",
      "\n",
      "\n",
      "🔄 Summary: \n",
      "✅ Accuracy: 0.9542\n",
      "✅ Precision (Macro Avg): 0.9557\n",
      "✅ Recall (Macro Avg): 0.9542\n",
      "✅ F1-Score (Macro Avg): 0.9542\n",
      "✅ تم تدريب وتقييم جميع نماذج Extra Trees Classifier بنجاح!\n"
     ]
    }
   ],
   "source": [
    "# ✅ Extra Trees Classifier - تحسين الكود\n",
    "import pickle\n",
    "import numpy as np\n",
    "import os\n",
    "from sklearn.ensemble import ExtraTreesClassifier\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from sklearn.metrics import accuracy_score, classification_report\n",
    "from imblearn.over_sampling import SMOTE\n",
    "\n",
    "# ✅ دالة لتحميل البيانات بأمان\n",
    "def load_large_pickle(file_path):\n",
    "    if not os.path.exists(file_path):\n",
    "        raise FileNotFoundError(f\"⚠️ الملف {file_path} غير موجود!\")\n",
    "    \n",
    "    print(f\"🔄 تحميل البيانات: {file_path}\")\n",
    "    with open(file_path, \"rb\") as f:\n",
    "        return pickle.load(f)\n",
    "\n",
    "# ✅ تحميل البيانات\n",
    "X_train_main, X_test_main, y_train_main, y_test_main = load_large_pickle(\"train_test_data_main.pkl\")\n",
    "X_train_sub, X_test_sub, y_train_sub, y_test_sub = load_large_pickle(\"train_test_data_sub.pkl\")\n",
    "X_train_rf, X_test_rf, y_train_rf, y_test_rf = load_large_pickle(\"train_test_data_rf.pkl\")\n",
    "\n",
    "print(\"✅ تم تحميل البيانات بنجاح!\")\n",
    "\n",
    "# ✅ دالة لتدريب وتقييم Extra Trees Classifier\n",
    "def train_and_evaluate_etc(X_train, y_train, X_test, y_test, model_filename, classification_type):\n",
    "    try:\n",
    "        with open(model_filename, \"rb\") as f:\n",
    "            loaded_data = pickle.load(f)\n",
    "        if isinstance(loaded_data, tuple) and len(loaded_data) == 2:\n",
    "            etc_model, scaler = loaded_data\n",
    "            print(f\"🔄 تحميل نموذج Extra Trees المحفوظ لتصنيف {classification_type}...\")\n",
    "        else:\n",
    "            raise ValueError(\"⚠️ النموذج لا يحتوي على `scaler`. سيتم إعادة التدريب...\")\n",
    "    except (FileNotFoundError, ValueError):\n",
    "        print(f\"⚠️ تدريب نموذج Extra Trees لأول مرة لتصنيف {classification_type}...\")\n",
    "\n",
    "        # ✅ تطبيق `MinMaxScaler`\n",
    "        scaler = MinMaxScaler()\n",
    "        X_train_scaled = scaler.fit_transform(X_train)\n",
    "        X_test_scaled = scaler.transform(X_test)\n",
    "\n",
    "        # ✅ موازنة البيانات باستخدام SMOTE بدون n_jobs\n",
    "        smote = SMOTE(random_state=42)\n",
    "        X_train_resampled, y_train_resampled = smote.fit_resample(X_train_scaled, y_train)\n",
    "\n",
    "        # ✅ إنشاء وتدريب النموذج\n",
    "        etc_model = ExtraTreesClassifier(\n",
    "            n_estimators=100,  \n",
    "            max_features='sqrt',  \n",
    "            max_depth=30,  \n",
    "            random_state=42,\n",
    "            n_jobs=-1  \n",
    "        )\n",
    "        etc_model.fit(X_train_resampled, y_train_resampled)\n",
    "\n",
    "        # ✅ حفظ النموذج والمحولات\n",
    "        with open(model_filename, \"wb\") as f:\n",
    "            pickle.dump((etc_model, scaler), f)\n",
    "\n",
    "    # ✅ تحميل `MinMaxScaler` عند التقييم\n",
    "    X_test_scaled = scaler.transform(X_test)\n",
    "\n",
    "    # ✅ التنبؤ على بيانات الاختبار\n",
    "    y_pred = etc_model.predict(X_test_scaled)\n",
    "\n",
    "    # ✅ تقييم النموذج\n",
    "    accuracy = accuracy_score(y_test, y_pred)\n",
    "    report = classification_report(y_test, y_pred, zero_division=1, output_dict=True)\n",
    "    \n",
    "    precision = report[\"macro avg\"][\"precision\"]\n",
    "    recall = report[\"macro avg\"][\"recall\"]\n",
    "    f1_score = report[\"macro avg\"][\"f1-score\"]\n",
    "\n",
    "    # ✅ عرض التقرير التفصيلي\n",
    "    print(f\"\\n📊 Extra Trees Classifier - {classification_type} Classification:\")\n",
    "    print(classification_report(y_test, y_pred, zero_division=1))\n",
    "    \n",
    "    # ✅ عرض الملخص النهائي\n",
    "    print(f\"\\n🔄 Summary: \")\n",
    "    print(f\"✅ Accuracy: {accuracy:.4f}\")\n",
    "    print(f\"✅ Precision (Macro Avg): {precision:.4f}\")\n",
    "    print(f\"✅ Recall (Macro Avg): {recall:.4f}\")\n",
    "    print(f\"✅ F1-Score (Macro Avg): {f1_score:.4f}\")\n",
    "\n",
    "# ✅ تجربة `Extra Trees Classifier` على جميع التصنيفات\n",
    "train_and_evaluate_etc(X_train_main, y_train_main, X_test_main, y_test_main, \"etc_model_main.pkl\", \"Main Category\")\n",
    "train_and_evaluate_etc(X_train_sub, y_train_sub, X_test_sub, y_test_sub, \"etc_model_sub.pkl\", \"Sub Category\")\n",
    "train_and_evaluate_etc(X_train_rf, y_train_rf, X_test_rf, y_test_rf, \"etc_model_rf.pkl\", \"Fake/Real\")\n",
    "\n",
    "print(\"✅ تم تدريب وتقييم جميع نماذج Extra Trees Classifier بنجاح!\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c0328192-ba14-4dad-ad2a-93de98e64b48",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🔄 تحميل البيانات: train_test_data_main.pkl\n",
      "🔄 تحميل البيانات: train_test_data_sub.pkl\n",
      "🔄 تحميل البيانات: train_test_data_rf.pkl\n",
      "✅ تم تحميل البيانات بنجاح!\n",
      "🔄 تحميل نموذج XGBoost المحفوظ لتصنيف Main Category...\n",
      "\n",
      "🌊 XGBoost - Main Category Classification:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.77      0.80      0.79      1871\n",
      "           1       0.96      0.97      0.97      1871\n",
      "           2       0.96      0.97      0.97      1872\n",
      "           3       0.98      1.00      0.99      1872\n",
      "           4       0.99      1.00      0.99      1872\n",
      "           5       0.90      0.85      0.88      1871\n",
      "           6       0.97      0.98      0.98      1872\n",
      "           7       0.91      0.85      0.88      1872\n",
      "           8       0.99      1.00      0.99      1871\n",
      "           9       0.93      0.88      0.90      1872\n",
      "          10       0.96      0.96      0.96      1872\n",
      "          11       1.00      1.00      1.00      1871\n",
      "          12       0.99      0.99      0.99      1872\n",
      "          13       1.00      1.00      1.00      1871\n",
      "          14       0.97      0.98      0.97      1872\n",
      "          15       0.99      1.00      0.99      1871\n",
      "          16       1.00      1.00      1.00      1872\n",
      "          17       0.86      0.82      0.84      1872\n",
      "          18       1.00      1.00      1.00      1872\n",
      "          19       1.00      1.00      1.00      1872\n",
      "          20       0.93      0.96      0.95      1871\n",
      "          21       0.77      0.82      0.79      1872\n",
      "\n",
      "    accuracy                           0.95     41176\n",
      "   macro avg       0.95      0.95      0.95     41176\n",
      "weighted avg       0.95      0.95      0.95     41176\n",
      "\n",
      "\n",
      "🔄 Summary: \n",
      "✅ Accuracy: 0.9463\n",
      "✅ Precision (Macro Avg): 0.9465\n",
      "✅ Recall (Macro Avg): 0.9463\n",
      "✅ F1-Score (Macro Avg): 0.9462\n",
      "⚠️ تدريب نموذج XGBoost لأول مرة لتصنيف Sub Category...\n",
      "\n",
      "🌊 XGBoost - Sub Category Classification:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.79      0.66      0.72      1446\n",
      "           1       1.00      1.00      1.00      1447\n",
      "           2       0.77      0.57      0.65      1447\n",
      "           3       0.97      1.00      0.98      1446\n",
      "           4       1.00      1.00      1.00      1446\n",
      "           5       0.97      1.00      0.99      1446\n",
      "           6       0.99      1.00      1.00      1446\n",
      "           7       0.99      1.00      0.99      1446\n",
      "           8       0.96      0.99      0.97      1446\n",
      "           9       0.96      0.97      0.96      1446\n",
      "          10       1.00      1.00      1.00      1446\n",
      "          11       1.00      1.00      1.00      1447\n",
      "          12       0.90      0.93      0.91      1446\n",
      "          13       0.82      0.73      0.77      1446\n",
      "          14       0.99      1.00      0.99      1447\n",
      "          15       1.00      1.00      1.00      1447\n",
      "          16       1.00      1.00      1.00      1446\n",
      "          17       1.00      1.00      1.00      1446\n",
      "          18       0.99      0.99      0.99      1446\n",
      "          19       1.00      1.00      1.00      1446\n",
      "          20       1.00      1.00      1.00      1447\n",
      "          21       0.98      1.00      0.99      1447\n",
      "          22       1.00      1.00      1.00      1446\n",
      "          23       1.00      1.00      1.00      1447\n",
      "          24       1.00      1.00      1.00      1447\n",
      "          25       0.98      1.00      0.99      1446\n",
      "          26       1.00      1.00      1.00      1447\n",
      "          27       1.00      1.00      1.00      1447\n",
      "          28       1.00      1.00      1.00      1446\n",
      "          29       0.98      0.99      0.98      1447\n",
      "          30       0.98      1.00      0.99      1446\n",
      "          31       0.98      1.00      0.99      1446\n",
      "          32       1.00      1.00      1.00      1447\n",
      "          33       0.99      1.00      1.00      1446\n",
      "          34       0.99      1.00      1.00      1446\n",
      "          35       0.99      1.00      1.00      1446\n",
      "          36       0.99      1.00      1.00      1446\n",
      "          37       0.99      1.00      1.00      1447\n",
      "          38       1.00      1.00      1.00      1446\n",
      "          39       1.00      1.00      1.00      1446\n",
      "          40       1.00      1.00      1.00      1446\n",
      "          41       0.92      0.95      0.93      1447\n",
      "          42       1.00      1.00      1.00      1446\n",
      "          43       1.00      1.00      1.00      1447\n",
      "          44       1.00      1.00      1.00      1446\n",
      "          45       1.00      1.00      1.00      1446\n",
      "          46       1.00      1.00      1.00      1447\n",
      "          47       0.95      0.97      0.96      1446\n",
      "          48       0.99      1.00      1.00      1447\n",
      "          49       1.00      1.00      1.00      1446\n",
      "          50       0.99      1.00      0.99      1446\n",
      "          51       1.00      1.00      1.00      1447\n",
      "          52       1.00      1.00      1.00      1447\n",
      "          53       1.00      1.00      1.00      1446\n",
      "          54       1.00      1.00      1.00      1446\n",
      "          55       1.00      1.00      1.00      1447\n",
      "          56       1.00      1.00      1.00      1446\n",
      "          57       1.00      1.00      1.00      1447\n",
      "          58       1.00      1.00      1.00      1446\n",
      "          59       1.00      1.00      1.00      1447\n",
      "          60       1.00      1.00      1.00      1447\n",
      "          61       1.00      1.00      1.00      1446\n",
      "          62       0.85      0.85      0.85      1446\n",
      "          63       0.99      1.00      1.00      1446\n",
      "          64       0.99      1.00      1.00      1446\n",
      "          65       1.00      1.00      1.00      1447\n",
      "          66       1.00      1.00      1.00      1446\n",
      "          67       0.99      1.00      0.99      1447\n",
      "          68       1.00      1.00      1.00      1447\n",
      "          69       0.81      0.77      0.79      1446\n",
      "          70       0.77      0.84      0.80      1447\n",
      "          71       0.94      0.97      0.95      1447\n",
      "          72       1.00      1.00      1.00      1446\n",
      "          73       1.00      1.00      1.00      1447\n",
      "          74       1.00      1.00      1.00      1446\n",
      "\n",
      "    accuracy                           0.98    108480\n",
      "   macro avg       0.97      0.98      0.97    108480\n",
      "weighted avg       0.97      0.98      0.97    108480\n",
      "\n",
      "\n",
      "🔄 Summary: \n",
      "✅ Accuracy: 0.9753\n",
      "✅ Precision (Macro Avg): 0.9742\n",
      "✅ Recall (Macro Avg): 0.9753\n",
      "✅ F1-Score (Macro Avg): 0.9744\n",
      "⚠️ تدريب نموذج XGBoost لأول مرة لتصنيف Fake/Real...\n",
      "\n",
      "🌊 XGBoost - Fake/Real Classification:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.98      0.92      0.95      8846\n",
      "           1       0.93      0.98      0.95      8846\n",
      "\n",
      "    accuracy                           0.95     17692\n",
      "   macro avg       0.95      0.95      0.95     17692\n",
      "weighted avg       0.95      0.95      0.95     17692\n",
      "\n",
      "\n",
      "🔄 Summary: \n",
      "✅ Accuracy: 0.9503\n",
      "✅ Precision (Macro Avg): 0.9518\n",
      "✅ Recall (Macro Avg): 0.9503\n",
      "✅ F1-Score (Macro Avg): 0.9502\n",
      "✅ تم تدريب وتقييم جميع نماذج XGBoost بنجاح!\n"
     ]
    }
   ],
   "source": [
    "#  تجربة XGBoost \n",
    "import pickle\n",
    "import numpy as np\n",
    "import os\n",
    "from xgboost import XGBClassifier\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from sklearn.metrics import accuracy_score, classification_report\n",
    "\n",
    "# ✅ دالة لتحميل البيانات بطريقة آمنة\n",
    "def load_large_pickle(file_path):\n",
    "    if not os.path.exists(file_path):\n",
    "        raise FileNotFoundError(f\"⚠️ الملف {file_path} غير موجود!\")\n",
    "    \n",
    "    print(f\"🔄 تحميل البيانات: {file_path}\")\n",
    "    with open(file_path, \"rb\") as f:\n",
    "        return pickle.load(f)\n",
    "\n",
    "# ✅ تحميل البيانات\n",
    "X_train_main, X_test_main, y_train_main, y_test_main = load_large_pickle(\"train_test_data_main.pkl\")\n",
    "X_train_sub, X_test_sub, y_train_sub, y_test_sub = load_large_pickle(\"train_test_data_sub.pkl\")\n",
    "X_train_rf, X_test_rf, y_train_rf, y_test_rf = load_large_pickle(\"train_test_data_rf.pkl\")\n",
    "\n",
    "print(\"✅ تم تحميل البيانات بنجاح!\")\n",
    "\n",
    "# ✅ دالة لتدريب وتقييم `XGBoost`\n",
    "def train_and_evaluate_xgb(X_train, y_train, X_test, y_test, model_filename, classification_type):\n",
    "    if os.path.exists(model_filename):\n",
    "        print(f\"🔄 تحميل نموذج XGBoost المحفوظ لتصنيف {classification_type}...\")\n",
    "        with open(model_filename, \"rb\") as f:\n",
    "            xgb_model, scaler = pickle.load(f)\n",
    "    else:\n",
    "        print(f\"⚠️ تدريب نموذج XGBoost لأول مرة لتصنيف {classification_type}...\")\n",
    "        \n",
    "        # ✅ تطبيق `MinMaxScaler`\n",
    "        scaler = MinMaxScaler()\n",
    "        X_train_scaled = scaler.fit_transform(X_train)\n",
    "        X_test_scaled = scaler.transform(X_test)\n",
    "\n",
    "        # ✅ إنشاء وتدريب النموذج\n",
    "        xgb_model = XGBClassifier(\n",
    "            n_estimators=200,\n",
    "            max_depth=10,\n",
    "            learning_rate=0.1,\n",
    "            random_state=42,\n",
    "            eval_metric=\"logloss\"  # ✅ حل التحذير\n",
    "        )\n",
    "        xgb_model.fit(X_train_scaled, y_train)\n",
    "\n",
    "        # ✅ حفظ النموذج والمحول (`scaler`)\n",
    "        with open(model_filename, \"wb\") as f:\n",
    "            pickle.dump((xgb_model, scaler), f)\n",
    "\n",
    "    # ✅ تحميل `MinMaxScaler` عند التقييم\n",
    "    with open(model_filename, \"rb\") as f:\n",
    "        xgb_model, scaler = pickle.load(f)\n",
    "\n",
    "    X_test_scaled = scaler.transform(X_test)\n",
    "\n",
    "    # ✅ التنبؤ على بيانات الاختبار\n",
    "    y_pred = xgb_model.predict(X_test_scaled)\n",
    "\n",
    "    # ✅ تقييم النموذج\n",
    "    accuracy = accuracy_score(y_test, y_pred)\n",
    "    report = classification_report(y_test, y_pred, output_dict=True)\n",
    "    precision = report[\"macro avg\"][\"precision\"]\n",
    "    recall = report[\"macro avg\"][\"recall\"]\n",
    "    f1_score = report[\"macro avg\"][\"f1-score\"]\n",
    "\n",
    "    # ✅ عرض التقرير التفصيلي\n",
    "    print(f\"\\n🌊 XGBoost - {classification_type} Classification:\")\n",
    "    print(classification_report(y_test, y_pred))\n",
    "    \n",
    "    # ✅ عرض الملخص النهائي\n",
    "    print(f\"\\n🔄 Summary: \")\n",
    "    print(f\"✅ Accuracy: {accuracy:.4f}\")\n",
    "    print(f\"✅ Precision (Macro Avg): {precision:.4f}\")\n",
    "    print(f\"✅ Recall (Macro Avg): {recall:.4f}\")\n",
    "    print(f\"✅ F1-Score (Macro Avg): {f1_score:.4f}\")\n",
    "\n",
    "# ✅ تجربة `XGBoost` على جميع التصنيفات\n",
    "train_and_evaluate_xgb(X_train_main, y_train_main, X_test_main, y_test_main, \"xgb_model_main.pkl\", \"Main Category\")\n",
    "train_and_evaluate_xgb(X_train_sub, y_train_sub, X_test_sub, y_test_sub, \"xgb_model_sub.pkl\", \"Sub Category\")\n",
    "train_and_evaluate_xgb(X_train_rf, y_train_rf, X_test_rf, y_test_rf, \"xgb_model_rf.pkl\", \"Fake/Real\")\n",
    "\n",
    "print(\"✅ تم تدريب وتقييم جميع نماذج XGBoost بنجاح!\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9376f0c1-0781-463e-9891-8ef85168c427",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🔄 تحميل البيانات: train_test_data_main.pkl\n",
      "🔄 تحميل البيانات: train_test_data_sub.pkl\n",
      "🔄 تحميل البيانات: train_test_data_rf.pkl\n",
      "✅ تم تحميل البيانات بنجاح!\n",
      "⚠️ تدريب نموذج LightGBM لأول مرة لتصنيف Main Category...\n",
      "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 1.800866 seconds.\n",
      "You can set `force_col_wise=true` to remove the overhead.\n",
      "[LightGBM] [Info] Total Bins 195840\n",
      "[LightGBM] [Info] Number of data points in the train set: 164714, number of used features: 768\n",
      "[LightGBM] [Info] Start training from score -3.091042\n",
      "[LightGBM] [Info] Start training from score -3.091042\n",
      "[LightGBM] [Info] Start training from score -3.091042\n",
      "[LightGBM] [Info] Start training from score -3.091042\n",
      "[LightGBM] [Info] Start training from score -3.091042\n",
      "[LightGBM] [Info] Start training from score -3.091042\n",
      "[LightGBM] [Info] Start training from score -3.091042\n",
      "[LightGBM] [Info] Start training from score -3.091042\n",
      "[LightGBM] [Info] Start training from score -3.091042\n",
      "[LightGBM] [Info] Start training from score -3.091042\n",
      "[LightGBM] [Info] Start training from score -3.091042\n",
      "[LightGBM] [Info] Start training from score -3.091042\n",
      "[LightGBM] [Info] Start training from score -3.091042\n",
      "[LightGBM] [Info] Start training from score -3.091042\n",
      "[LightGBM] [Info] Start training from score -3.091042\n",
      "[LightGBM] [Info] Start training from score -3.091042\n",
      "[LightGBM] [Info] Start training from score -3.091042\n",
      "[LightGBM] [Info] Start training from score -3.091042\n",
      "[LightGBM] [Info] Start training from score -3.091042\n",
      "[LightGBM] [Info] Start training from score -3.091042\n",
      "[LightGBM] [Info] Start training from score -3.091042\n",
      "[LightGBM] [Info] Start training from score -3.091042\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
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      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "\n",
      "📊 LightGBM - Main Category Classification:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.75      0.81      0.78      1871\n",
      "           1       0.97      0.97      0.97      1871\n",
      "           2       0.96      0.97      0.97      1872\n",
      "           3       0.98      1.00      0.99      1872\n",
      "           4       0.99      1.00      1.00      1872\n",
      "           5       0.89      0.86      0.88      1871\n",
      "           6       0.98      0.98      0.98      1872\n",
      "           7       0.90      0.87      0.88      1872\n",
      "           8       1.00      1.00      1.00      1871\n",
      "           9       0.92      0.89      0.91      1872\n",
      "          10       0.96      0.95      0.95      1872\n",
      "          11       1.00      1.00      1.00      1871\n",
      "          12       0.99      0.99      0.99      1872\n",
      "          13       1.00      1.00      1.00      1871\n",
      "          14       0.97      0.97      0.97      1872\n",
      "          15       0.99      1.00      1.00      1871\n",
      "          16       1.00      1.00      1.00      1872\n",
      "          17       0.87      0.83      0.85      1872\n",
      "          18       1.00      1.00      1.00      1872\n",
      "          19       1.00      1.00      1.00      1872\n",
      "          20       0.95      0.96      0.96      1871\n",
      "          21       0.79      0.82      0.80      1872\n",
      "\n",
      "    accuracy                           0.95     41176\n",
      "   macro avg       0.95      0.95      0.95     41176\n",
      "weighted avg       0.95      0.95      0.95     41176\n",
      "\n",
      "\n",
      "🔄 Summary: \n",
      "✅ Accuracy: 0.9484\n",
      "✅ Precision (Macro Avg): 0.9489\n",
      "✅ Recall (Macro Avg): 0.9484\n",
      "✅ F1-Score (Macro Avg): 0.9485\n",
      "⚠️ تدريب نموذج LightGBM لأول مرة لتصنيف Sub Category...\n",
      "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 4.617520 seconds.\n",
      "You can set `force_col_wise=true` to remove the overhead.\n",
      "[LightGBM] [Info] Total Bins 195840\n",
      "[LightGBM] [Info] Number of data points in the train set: 433950, number of used features: 768\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Info] Start training from score -4.317488\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
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      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
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      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "\n",
      "📊 LightGBM - Sub Category Classification:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.80      0.73      0.76      1446\n",
      "           1       1.00      1.00      1.00      1447\n",
      "           2       0.75      0.68      0.71      1447\n",
      "           3       0.98      1.00      0.99      1446\n",
      "           4       1.00      1.00      1.00      1446\n",
      "           5       0.99      1.00      0.99      1446\n",
      "           6       1.00      1.00      1.00      1446\n",
      "           7       1.00      1.00      1.00      1446\n",
      "           8       0.97      0.99      0.98      1446\n",
      "           9       0.97      0.98      0.97      1446\n",
      "          10       1.00      1.00      1.00      1446\n",
      "          11       1.00      1.00      1.00      1447\n",
      "          12       0.92      0.93      0.93      1446\n",
      "          13       0.79      0.77      0.78      1446\n",
      "          14       1.00      1.00      1.00      1447\n",
      "          15       1.00      1.00      1.00      1447\n",
      "          16       1.00      1.00      1.00      1446\n",
      "          17       1.00      1.00      1.00      1446\n",
      "          18       0.99      0.99      0.99      1446\n",
      "          19       1.00      1.00      1.00      1446\n",
      "          20       1.00      1.00      1.00      1447\n",
      "          21       0.99      1.00      1.00      1447\n",
      "          22       1.00      1.00      1.00      1446\n",
      "          23       1.00      1.00      1.00      1447\n",
      "          24       1.00      1.00      1.00      1447\n",
      "          25       1.00      1.00      1.00      1446\n",
      "          26       1.00      1.00      1.00      1447\n",
      "          27       1.00      1.00      1.00      1447\n",
      "          28       1.00      1.00      1.00      1446\n",
      "          29       0.98      0.99      0.99      1447\n",
      "          30       0.99      1.00      1.00      1446\n",
      "          31       0.99      1.00      1.00      1446\n",
      "          32       1.00      1.00      1.00      1447\n",
      "          33       1.00      1.00      1.00      1446\n",
      "          34       1.00      1.00      1.00      1446\n",
      "          35       1.00      1.00      1.00      1446\n",
      "          36       1.00      1.00      1.00      1446\n",
      "          37       1.00      1.00      1.00      1447\n",
      "          38       1.00      1.00      1.00      1446\n",
      "          39       1.00      1.00      1.00      1446\n",
      "          40       1.00      1.00      1.00      1446\n",
      "          41       0.93      0.94      0.94      1447\n",
      "          42       1.00      1.00      1.00      1446\n",
      "          43       1.00      1.00      1.00      1447\n",
      "          44       1.00      1.00      1.00      1446\n",
      "          45       1.00      1.00      1.00      1446\n",
      "          46       1.00      1.00      1.00      1447\n",
      "          47       0.96      0.97      0.97      1446\n",
      "          48       1.00      1.00      1.00      1447\n",
      "          49       1.00      1.00      1.00      1446\n",
      "          50       1.00      1.00      1.00      1446\n",
      "          51       1.00      1.00      1.00      1447\n",
      "          52       1.00      1.00      1.00      1447\n",
      "          53       1.00      1.00      1.00      1446\n",
      "          54       1.00      1.00      1.00      1446\n",
      "          55       1.00      1.00      1.00      1447\n",
      "          56       1.00      1.00      1.00      1446\n",
      "          57       1.00      1.00      1.00      1447\n",
      "          58       1.00      1.00      1.00      1446\n",
      "          59       1.00      1.00      1.00      1447\n",
      "          60       1.00      1.00      1.00      1447\n",
      "          61       1.00      1.00      1.00      1446\n",
      "          62       0.83      0.87      0.85      1446\n",
      "          63       1.00      1.00      1.00      1446\n",
      "          64       1.00      1.00      1.00      1446\n",
      "          65       1.00      1.00      1.00      1447\n",
      "          66       1.00      1.00      1.00      1446\n",
      "          67       1.00      1.00      1.00      1447\n",
      "          68       1.00      1.00      1.00      1447\n",
      "          69       0.81      0.79      0.80      1446\n",
      "          70       0.80      0.83      0.81      1447\n",
      "          71       0.97      0.97      0.97      1447\n",
      "          72       1.00      1.00      1.00      1446\n",
      "          73       1.00      1.00      1.00      1447\n",
      "          74       1.00      1.00      1.00      1446\n",
      "\n",
      "    accuracy                           0.98    108480\n",
      "   macro avg       0.98      0.98      0.98    108480\n",
      "weighted avg       0.98      0.98      0.98    108480\n",
      "\n",
      "\n",
      "🔄 Summary: \n",
      "✅ Accuracy: 0.9789\n",
      "✅ Precision (Macro Avg): 0.9785\n",
      "✅ Recall (Macro Avg): 0.9789\n",
      "✅ F1-Score (Macro Avg): 0.9787\n",
      "⚠️ تدريب نموذج LightGBM لأول مرة لتصنيف Fake/Real...\n",
      "[LightGBM] [Info] Number of positive: 35383, number of negative: 35383\n",
      "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.771741 seconds.\n",
      "You can set `force_col_wise=true` to remove the overhead.\n",
      "[LightGBM] [Info] Total Bins 195840\n",
      "[LightGBM] [Info] Number of data points in the train set: 70766, number of used features: 768\n",
      "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n",
      "\n",
      "📊 LightGBM - Fake/Real Classification:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.96      0.91      0.94      8846\n",
      "           1       0.92      0.96      0.94      8846\n",
      "\n",
      "    accuracy                           0.94     17692\n",
      "   macro avg       0.94      0.94      0.94     17692\n",
      "weighted avg       0.94      0.94      0.94     17692\n",
      "\n",
      "\n",
      "🔄 Summary: \n",
      "✅ Accuracy: 0.9376\n",
      "✅ Precision (Macro Avg): 0.9388\n",
      "✅ Recall (Macro Avg): 0.9376\n",
      "✅ F1-Score (Macro Avg): 0.9376\n",
      "✅ تم تدريب وتقييم جميع نماذج LightGBM بنجاح!\n"
     ]
    }
   ],
   "source": [
    "# LGBMClassifier\n",
    "import pickle\n",
    "import numpy as np\n",
    "import os\n",
    "from lightgbm import LGBMClassifier\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from sklearn.metrics import accuracy_score, classification_report\n",
    "from imblearn.over_sampling import SMOTE\n",
    "\n",
    "# ✅ دالة لتحميل البيانات بطريقة آمنة\n",
    "def load_large_pickle(file_path):\n",
    "    if not os.path.exists(file_path):\n",
    "        raise FileNotFoundError(f\"⚠️ الملف {file_path} غير موجود!\")\n",
    "    \n",
    "    print(f\"🔄 تحميل البيانات: {file_path}\")\n",
    "    with open(file_path, \"rb\") as f:\n",
    "        return pickle.load(f)\n",
    "\n",
    "# ✅ تحميل البيانات\n",
    "X_train_main, X_test_main, y_train_main, y_test_main = load_large_pickle(\"train_test_data_main.pkl\")\n",
    "X_train_sub, X_test_sub, y_train_sub, y_test_sub = load_large_pickle(\"train_test_data_sub.pkl\")\n",
    "X_train_rf, X_test_rf, y_train_rf, y_test_rf = load_large_pickle(\"train_test_data_rf.pkl\")\n",
    "\n",
    "print(\"✅ تم تحميل البيانات بنجاح!\")\n",
    "\n",
    "# ✅ دالة لتدريب وتقييم `LightGBM`\n",
    "def train_and_evaluate_lgbm(X_train, y_train, X_test, y_test, model_filename, classification_type):\n",
    "    if os.path.exists(model_filename):\n",
    "        print(f\"🔄 تحميل نموذج LightGBM المحفوظ لتصنيف {classification_type}...\")\n",
    "        with open(model_filename, \"rb\") as f:\n",
    "            lgbm_model, scaler = pickle.load(f)\n",
    "    else:\n",
    "        print(f\"⚠️ تدريب نموذج LightGBM لأول مرة لتصنيف {classification_type}...\")\n",
    "\n",
    "        # ✅ تطبيق `MinMaxScaler`\n",
    "        scaler = MinMaxScaler()\n",
    "        X_train_scaled = scaler.fit_transform(X_train)\n",
    "        X_test_scaled = scaler.transform(X_test)\n",
    "\n",
    "        # ✅ موازنة البيانات باستخدام SMOTE\n",
    "        smote = SMOTE(random_state=42)\n",
    "        X_train_resampled, y_train_resampled = smote.fit_resample(X_train_scaled, y_train)\n",
    "\n",
    "        # ✅ إنشاء وتدريب النموذج المحسن\n",
    "        lgbm_model = LGBMClassifier(\n",
    "            n_estimators=500,   # زيادة عدد الأشجار\n",
    "            learning_rate=0.05, # تقليل معدل التعلم لتحسين الدقة\n",
    "            max_depth=20,       # زيادة العمق للسماح بالتعلم الأكثر تفصيلاً\n",
    "            num_leaves=50,      # زيادة عدد الأوراق لكل شجرة\n",
    "            class_weight=\"balanced\",  # موازنة الفئات تلقائيًا\n",
    "            random_state=42\n",
    "        )\n",
    "        lgbm_model.fit(X_train_resampled, y_train_resampled)\n",
    "\n",
    "        # ✅ حفظ النموذج والمحول (`scaler`)\n",
    "        with open(model_filename, \"wb\") as f:\n",
    "            pickle.dump((lgbm_model, scaler), f)\n",
    "\n",
    "    # ✅ تحميل `MinMaxScaler` عند التقييم\n",
    "    with open(model_filename, \"rb\") as f:\n",
    "        lgbm_model, scaler = pickle.load(f)\n",
    "\n",
    "    X_test_scaled = scaler.transform(X_test)\n",
    "\n",
    "    # ✅ التنبؤ على بيانات الاختبار\n",
    "    y_pred = lgbm_model.predict(X_test_scaled)\n",
    "\n",
    "    # ✅ تقييم النموذج\n",
    "    accuracy = accuracy_score(y_test, y_pred)\n",
    "    report = classification_report(y_test, y_pred, zero_division=1, output_dict=True)\n",
    "    \n",
    "    precision = report[\"macro avg\"][\"precision\"]\n",
    "    recall = report[\"macro avg\"][\"recall\"]\n",
    "    f1_score = report[\"macro avg\"][\"f1-score\"]\n",
    "\n",
    "    # ✅ عرض التقرير التفصيلي\n",
    "    print(f\"\\n📊 LightGBM - {classification_type} Classification:\")\n",
    "    print(classification_report(y_test, y_pred, zero_division=1))\n",
    "    \n",
    "    # ✅ عرض الملخص النهائي\n",
    "    print(f\"\\n🔄 Summary: \")\n",
    "    print(f\"✅ Accuracy: {accuracy:.4f}\")\n",
    "    print(f\"✅ Precision (Macro Avg): {precision:.4f}\")\n",
    "    print(f\"✅ Recall (Macro Avg): {recall:.4f}\")\n",
    "    print(f\"✅ F1-Score (Macro Avg): {f1_score:.4f}\")\n",
    "\n",
    "# ✅ تجربة `LightGBM` على جميع التصنيفات\n",
    "train_and_evaluate_lgbm(X_train_main, y_train_main, X_test_main, y_test_main, \"lgbm_model_main.pkl\", \"Main Category\")\n",
    "train_and_evaluate_lgbm(X_train_sub, y_train_sub, X_test_sub, y_test_sub, \"lgbm_model_sub.pkl\", \"Sub Category\")\n",
    "train_and_evaluate_lgbm(X_train_rf, y_train_rf, X_test_rf, y_test_rf, \"lgbm_model_rf.pkl\", \"Fake/Real\")\n",
    "\n",
    "print(\"✅ تم تدريب وتقييم جميع نماذج LightGBM بنجاح!\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c3a35ca8-6671-4967-81f6-7929f6b350ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "🔄 تحميل نموذج SVM المحفوظ لتصنيف Main Category...\n",
      "\n",
      "📊 SVM - Main Category Classification:\n",
      "✅ Accuracy: 0.877865747037109\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.57      0.66      0.62      1871\n",
      "           1       0.86      0.91      0.88      1871\n",
      "           2       0.88      0.91      0.90      1872\n",
      "           3       0.97      1.00      0.98      1872\n",
      "           4       0.98      1.00      0.99      1872\n",
      "           5       0.69      0.66      0.68      1871\n",
      "           6       0.93      0.93      0.93      1872\n",
      "           7       0.76      0.71      0.74      1872\n",
      "           8       0.99      1.00      0.99      1871\n",
      "           9       0.82      0.77      0.80      1872\n",
      "          10       0.82      0.78      0.80      1872\n",
      "          11       0.99      1.00      1.00      1871\n",
      "          12       0.96      0.98      0.97      1872\n",
      "          13       0.99      1.00      0.99      1871\n",
      "          14       0.90      0.88      0.89      1872\n",
      "          15       0.98      1.00      0.99      1871\n",
      "          16       1.00      1.00      1.00      1872\n",
      "          17       0.81      0.77      0.79      1872\n",
      "          18       0.99      1.00      1.00      1872\n",
      "          19       1.00      1.00      1.00      1872\n",
      "          20       0.80      0.80      0.80      1871\n",
      "          21       0.60      0.55      0.57      1872\n",
      "\n",
      "    accuracy                           0.88     41176\n",
      "   macro avg       0.88      0.88      0.88     41176\n",
      "weighted avg       0.88      0.88      0.88     41176\n",
      "\n",
      "✅ تم الانتهاء من التصنيف.\n",
      "------------------------------------------------------------\n",
      "\n",
      "⚠️ تدريب نموذج SVM لأول مرة لتصنيف Sub Category...\n",
      "🧪 تطبيق SMOTE لموازنة البيانات...\n",
      "✅ عدد العينات بعد SMOTE: 9525\n",
      "✅ تم حفظ النموذج في svm_model_sub.pkl (⏱️ الوقت: 84.04 ثانية)\n",
      "\n",
      "📊 SVM - Sub Category Classification:\n",
      "✅ Accuracy: 0.8015117994100295\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.33      0.23      0.27      1446\n",
      "           1       0.91      0.90      0.90      1447\n",
      "           2       0.16      0.10      0.13      1447\n",
      "           3       0.86      0.91      0.88      1446\n",
      "           4       0.98      1.00      0.99      1446\n",
      "           5       0.69      0.68      0.68      1446\n",
      "           6       0.87      0.93      0.90      1446\n",
      "           7       0.83      0.82      0.83      1446\n",
      "           8       0.74      0.50      0.60      1446\n",
      "           9       0.59      0.47      0.52      1446\n",
      "          10       0.97      0.96      0.96      1446\n",
      "          11       0.97      0.99      0.98      1447\n",
      "          12       0.35      0.32      0.33      1446\n",
      "          13       0.21      0.14      0.17      1446\n",
      "          14       0.65      0.78      0.71      1447\n",
      "          15       0.84      0.78      0.81      1447\n",
      "          16       0.84      0.89      0.87      1446\n",
      "          17       0.77      0.84      0.80      1446\n",
      "          18       0.86      0.85      0.85      1446\n",
      "          19       0.93      0.99      0.96      1446\n",
      "          20       0.82      0.81      0.81      1447\n",
      "          21       0.85      0.83      0.84      1447\n",
      "          22       0.93      0.99      0.96      1446\n",
      "          23       0.99      1.00      1.00      1447\n",
      "          24       0.92      0.93      0.92      1447\n",
      "          25       0.58      0.60      0.59      1446\n",
      "          26       0.91      0.98      0.95      1447\n",
      "          27       0.85      0.93      0.89      1447\n",
      "          28       0.96      1.00      0.98      1446\n",
      "          29       0.65      0.65      0.65      1447\n",
      "          30       0.58      0.60      0.59      1446\n",
      "          31       0.74      0.79      0.76      1446\n",
      "          32       0.89      0.90      0.90      1447\n",
      "          33       0.67      0.79      0.73      1446\n",
      "          34       0.88      0.83      0.86      1446\n",
      "          35       0.78      0.83      0.80      1446\n",
      "          36       0.86      0.93      0.90      1446\n",
      "          37       0.86      0.86      0.86      1447\n",
      "          38       0.88      0.91      0.90      1446\n",
      "          39       0.50      0.54      0.52      1446\n",
      "          40       0.86      0.79      0.82      1446\n",
      "          41       0.70      0.73      0.71      1447\n",
      "          42       0.88      0.77      0.82      1446\n",
      "          43       0.89      0.87      0.88      1447\n",
      "          44       0.92      0.95      0.93      1446\n",
      "          45       0.85      0.86      0.86      1446\n",
      "          46       0.93      0.96      0.95      1447\n",
      "          47       0.49      0.55      0.52      1446\n",
      "          48       0.82      0.82      0.82      1447\n",
      "          49       0.90      0.90      0.90      1446\n",
      "          50       0.75      0.80      0.77      1446\n",
      "          51       0.91      0.95      0.93      1447\n",
      "          52       0.91      0.93      0.92      1447\n",
      "          53       0.86      0.90      0.88      1446\n",
      "          54       0.97      1.00      0.98      1446\n",
      "          55       0.96      1.00      0.98      1447\n",
      "          56       0.96      0.99      0.98      1446\n",
      "          57       0.93      0.97      0.95      1447\n",
      "          58       0.92      0.89      0.90      1446\n",
      "          59       0.96      1.00      0.98      1447\n",
      "          60       0.94      0.97      0.95      1447\n",
      "          61       0.96      0.98      0.97      1446\n",
      "          62       0.27      0.25      0.26      1446\n",
      "          63       0.93      0.91      0.92      1446\n",
      "          64       0.80      0.87      0.83      1446\n",
      "          65       0.90      0.97      0.93      1447\n",
      "          66       0.89      0.95      0.92      1446\n",
      "          67       0.84      0.81      0.83      1447\n",
      "          68       0.99      1.00      0.99      1447\n",
      "          69       0.56      0.42      0.48      1446\n",
      "          70       0.26      0.23      0.24      1447\n",
      "          71       0.33      0.35      0.34      1447\n",
      "          72       0.94      0.99      0.97      1446\n",
      "          73       0.96      1.00      0.98      1447\n",
      "          74       0.95      0.99      0.97      1446\n",
      "\n",
      "    accuracy                           0.80    108480\n",
      "   macro avg       0.79      0.80      0.79    108480\n",
      "weighted avg       0.79      0.80      0.79    108480\n",
      "\n",
      "✅ تم الانتهاء من التصنيف.\n",
      "------------------------------------------------------------\n",
      "\n",
      "⚠️ تدريب نموذج SVM لأول مرة لتصنيف Fake/Real...\n",
      "🧪 تطبيق SMOTE لموازنة البيانات...\n",
      "✅ عدد العينات بعد SMOTE: 70766\n",
      "✅ تم حفظ النموذج في svm_model_rf.pkl (⏱️ الوقت: 40.73 ثانية)\n",
      "\n",
      "📊 SVM - Fake/Real Classification:\n",
      "✅ Accuracy: 0.8155663576757857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.86      0.75      0.80      8846\n",
      "           1       0.78      0.88      0.83      8846\n",
      "\n",
      "    accuracy                           0.82     17692\n",
      "   macro avg       0.82      0.82      0.81     17692\n",
      "weighted avg       0.82      0.82      0.81     17692\n",
      "\n",
      "✅ تم الانتهاء من التصنيف.\n",
      "------------------------------------------------------------\n",
      "🎯 تم تدريب وتقييم جميع نماذج SVM بنجاح باستخدام LinearSVC و SMOTE!\n"
     ]
    }
   ],
   "source": [
    "import pickle\n",
    "import time\n",
    "import os\n",
    "from sklearn.svm import LinearSVC\n",
    "from sklearn.metrics import accuracy_score, classification_report\n",
    "from imblearn.over_sampling import SMOTE\n",
    "\n",
    "# ✅ تحميل بيانات التدريب لكل تصنيف\n",
    "with open(\"train_test_data_main.pkl\", \"rb\") as f:\n",
    "    X_train_main, X_test_main, y_train_main, y_test_main = pickle.load(f)\n",
    "\n",
    "with open(\"train_test_data_sub.pkl\", \"rb\") as f:\n",
    "    X_train_sub, X_test_sub, y_train_sub, y_test_sub = pickle.load(f)\n",
    "\n",
    "with open(\"train_test_data_rf.pkl\", \"rb\") as f:\n",
    "    X_train_rf, X_test_rf, y_train_rf, y_test_rf = pickle.load(f)\n",
    "\n",
    "# ✅ تقليل حجم بيانات Sub Category لتسريع التدريب\n",
    "X_train_sub = X_train_sub[:8000]\n",
    "y_train_sub = y_train_sub[:8000]\n",
    "\n",
    "# ✅ دالة لتطبيق SMOTE\n",
    "def apply_smote(X, y):\n",
    "    print(\"🧪 تطبيق SMOTE لموازنة البيانات...\")\n",
    "    smote = SMOTE(random_state=42, k_neighbors=1)\n",
    "    X_resampled, y_resampled = smote.fit_resample(X, y)\n",
    "    print(f\"✅ عدد العينات بعد SMOTE: {len(y_resampled)}\")\n",
    "    return X_resampled, y_resampled\n",
    "\n",
    "# ✅ دالة لتدريب وتقييم النموذج\n",
    "def train_and_evaluate_svm(X_train, y_train, X_test, y_test, model_filename, classification_type):\n",
    "    if os.path.exists(model_filename):\n",
    "        print(f\"\\n🔄 تحميل نموذج SVM المحفوظ لتصنيف {classification_type}...\")\n",
    "        with open(model_filename, \"rb\") as f:\n",
    "            svm_model = pickle.load(f)\n",
    "    else:\n",
    "        print(f\"\\n⚠️ تدريب نموذج SVM لأول مرة لتصنيف {classification_type}...\")\n",
    "\n",
    "        # ✅ تطبيق SMOTE قبل التدريب\n",
    "        X_train, y_train = apply_smote(X_train, y_train)\n",
    "\n",
    "        start_time = time.time()\n",
    "        svm_model = LinearSVC(max_iter=10000, dual=False)\n",
    "        svm_model.fit(X_train, y_train)\n",
    "        with open(model_filename, \"wb\") as f:\n",
    "            pickle.dump(svm_model, f)\n",
    "        print(f\"✅ تم حفظ النموذج في {model_filename} (⏱️ الوقت: {time.time() - start_time:.2f} ثانية)\")\n",
    "\n",
    "    # ✅ تقييم النموذج\n",
    "    print(f\"\\n📊 SVM - {classification_type} Classification:\")\n",
    "    y_pred = svm_model.predict(X_test)\n",
    "    print(\"✅ Accuracy:\", accuracy_score(y_test, y_pred))\n",
    "    print(classification_report(y_test, y_pred))\n",
    "    print(\"✅ تم الانتهاء من التصنيف.\\n\" + \"-\"*60)\n",
    "\n",
    "# ✅ تدريب وتقييم النماذج لكل تصنيف\n",
    "train_and_evaluate_svm(X_train_main, y_train_main, X_test_main, y_test_main, \"svm_model_main.pkl\", \"Main Category\")\n",
    "train_and_evaluate_svm(X_train_sub, y_train_sub, X_test_sub, y_test_sub, \"svm_model_sub.pkl\", \"Sub Category\")\n",
    "train_and_evaluate_svm(X_train_rf, y_train_rf, X_test_rf, y_test_rf, \"svm_model_rf.pkl\", \"Fake/Real\")\n",
    "\n",
    "print(\"🎯 تم تدريب وتقييم جميع نماذج SVM بنجاح باستخدام LinearSVC و SMOTE!\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "793d708b-089c-4570-b2c1-a22da92bf1be",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "216ae109-5bd6-4c88-a81a-3fbe471c8765",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Predominant Main Category     Predominant Sub Category  Count  Total_Main_Count  Subcategory_Count\n",
      "            Communication                International     37               171                  2\n",
      "            Communication                        Local    134               171                  2\n",
      "                  Culture                          Art     18               107                  5\n",
      "                  Culture                       Events     37               107                  5\n",
      "                  Culture                     Heritage     41               107                  5\n",
      "                  Culture                International      8               107                  5\n",
      "                  Culture                        Local      3               107                  5\n",
      "                  Economy                          Car     53              2297                  8\n",
      "                  Economy                   Employment     23              2297                  8\n",
      "                  Economy                       Energy    136              2297                  8\n",
      "                  Economy           Financial Policies    836              2297                  8\n",
      "                  Economy                International    196              2297                  8\n",
      "                  Economy                        Local    521              2297                  8\n",
      "                  Economy                   Oil prices    179              2297                  8\n",
      "                  Economy                      boycott    353              2297                  8\n",
      "                Education               Administration     78               787                  9\n",
      "                Education                   Conference      6               787                  9\n",
      "                Education                International     17               787                  9\n",
      "                Education                     Literacy     18               787                  9\n",
      "                Education            Private Education     23               787                  9\n",
      "                Education                 Scholarships     76               787                  9\n",
      "                Education                       School    328               787                  9\n",
      "                Education                     Training     15               787                  9\n",
      "                Education                   University    226               787                  9\n",
      "              Environment               Infrastructure     55              1446                  4\n",
      "              Environment                International    216              1446                  4\n",
      "              Environment                        Local    904              1446                  4\n",
      "              Environment             Water Management    271              1446                  4\n",
      "               Government                Announcements    113              4012                 15\n",
      "               Government                   Assistance    145              4012                 15\n",
      "               Government                   Conference    177              4012                 15\n",
      "               Government                    Decisions    159              4012                 15\n",
      "               Government          Diplomacy Relations   1108              4012                 15\n",
      "               Government                    Elections    132              4012                 15\n",
      "               Government            Electronic crimes    108              4012                 15\n",
      "               Government                   Employment    164              4012                 15\n",
      "               Government                         Food    100              4012                 15\n",
      "               Government                International    302              4012                 15\n",
      "               Government                        Local    349              4012                 15\n",
      "               Government               Official Visit    129              4012                 15\n",
      "               Government                   Parliament    189              4012                 15\n",
      "               Government                        Royal    816              4012                 15\n",
      "               Government                   Technology     21              4012                 15\n",
      "                   Health                       Cancer     49              1658                 10\n",
      "                   Health                 Corona virus     62              1658                 10\n",
      "                   Health                       Crisis    112              1658                 10\n",
      "                   Health                International     29              1658                 10\n",
      "                   Health Israeli-Palestinian Conflict    987              1658                 10\n",
      "                   Health                        Local    111              1658                 10\n",
      "                   Health             Medical Services    156              1658                 10\n",
      "                   Health                        UNRWA      4              1658                 10\n",
      "                   Health                  Vaccination     23              1658                 10\n",
      "                   Health                       advice    125              1658                 10\n",
      "             Humanitarian                          Aid    504              3611                  7\n",
      "             Humanitarian                     Conflict    128              3611                  7\n",
      "             Humanitarian                International     88              3611                  7\n",
      "             Humanitarian Israeli-Palestinian Conflict   1619              3611                  7\n",
      "             Humanitarian                        Local     27              3611                  7\n",
      "             Humanitarian             Personal Stories   1212              3611                  7\n",
      "             Humanitarian                        UNRWA     33              3611                  7\n",
      "                    Labor                International     19               284                  2\n",
      "                    Labor                        Local    265               284                  2\n",
      "                      Law                International    209               426                  2\n",
      "                      Law                        Local    217               426                  2\n",
      "                    Media                     Analysis     88              1521                  7\n",
      "                    Media                         Cook    224              1521                  7\n",
      "                    Media                Entertainment    209              1521                  7\n",
      "                    Media                      General    149              1521                  7\n",
      "                    Media                         News    178              1521                  7\n",
      "                    Media                    Palestine    474              1521                  7\n",
      "                    Media                      TV Show    199              1521                  7\n",
      "                 Military                          Aid    143              3989                  9\n",
      "                 Military                Announcements     72              3989                  9\n",
      "                 Military                     Conflict    170              3989                  9\n",
      "                 Military                        Crime    212              3989                  9\n",
      "                 Military                     Drug War    734              3989                  9\n",
      "                 Military                International    427              3989                  9\n",
      "                 Military                        Local   1600              3989                  9\n",
      "                 Military            National Security    391              3989                  9\n",
      "                 Military                   USA issues    240              3989                  9\n",
      "                  Mockery                        Local   1126              5287                  3\n",
      "                  Mockery                     Politics   2981              5287                  3\n",
      "                  Mockery                     Sentence   1180              5287                  3\n",
      "                    Other                     Sentence   1741              1741                  1\n",
      "                 Politics                International   1119              7458                  8\n",
      "                 Politics      International Relations   1516              7458                  8\n",
      "                 Politics Israeli-Palestinian Conflict   4529              7458                  8\n",
      "                 Politics                  Lebanon war    111              7458                  8\n",
      "                 Politics                        Local     55              7458                  8\n",
      "                 Politics   Russian-Ukrainian Conflict     50              7458                  8\n",
      "                 Politics                 US Elections     30              7458                  8\n",
      "                 Politics            Youth Empowerment     48              7458                  8\n",
      "                 Religion                       AlHajj     45              9358                  4\n",
      "                 Religion                    Christian     89              9358                  4\n",
      "                 Religion                         Doaa   7232              9358                  4\n",
      "                 Religion                      Islamic   1992              9358                  4\n",
      "                  Society                       Awards     88              2021                  4\n",
      "                  Society                International    346              2021                  4\n",
      "                  Society                        Local   1195              2021                  4\n",
      "                  Society                 Women Issues    392              2021                  4\n",
      "                   Sports                     Football    578               859                  4\n",
      "                   Sports                International    169               859                  4\n",
      "                   Sports                        Local    102               859                  4\n",
      "                   Sports                     Swimming     10               859                  4\n",
      "               Technology                International     38                98                  2\n",
      "               Technology                        Local     60                98                  2\n",
      "                  Tourism                International     70               395                  3\n",
      "                  Tourism                        Local    251               395                  3\n",
      "                  Tourism                    Promotion     74               395                  3\n",
      "                  Traffic               Infrastructure    174              1242                  3\n",
      "                  Traffic                International    211              1242                  3\n",
      "                  Traffic                        Local    857              1242                  3\n",
      "                  Weather                       Alerts    175              1256                  5\n",
      "                  Weather                   Earthquake     81              1256                  5\n",
      "                  Weather                     Forecast    910              1256                  5\n",
      "                  Weather                International     45              1256                  5\n",
      "                  Weather            Natural Disasters     45              1256                  5\n",
      "                  economy                      boycott      1                 1                  1\n"
     ]
    }
   ],
   "source": [
    "# لعرض بيانات التصنيفات الرئيسيه والفرعيه  وارقام تكرارهم\n",
    "import pandas as pd\n",
    "\n",
    "# تحميل البيانات\n",
    "df = pd.read_excel(\"Jordan News Agencies Websites.xlsx\")\n",
    "\n",
    "# حذف الصفوف التي تحتوي على قيم مفقودة في الأعمدة الثلاث المطلوبة (لو وجدت)\n",
    "df = df.dropna(subset=['Predominant Main Category', 'Predominant Sub Category', 'Predominant Fake/Real'])\n",
    "\n",
    "# إنشاء جدول يحتوي على التكرارات\n",
    "summary = df.groupby(['Predominant Main Category', 'Predominant Sub Category']).size().reset_index(name='Count')\n",
    "\n",
    "# إنشاء جدول رئيسي يلخص عدد كل تصنيف رئيسي وعدد التصنيفات الفرعية المرتبطة به\n",
    "main_summary = summary.groupby('Predominant Main Category').agg(\n",
    "    Total_Main_Count=('Count', 'sum'),\n",
    "    Subcategory_Count=('Predominant Sub Category', 'nunique')\n",
    ").reset_index()\n",
    "\n",
    "# دمج النتائج مع التفاصيل\n",
    "detailed_summary = pd.merge(summary, main_summary, on='Predominant Main Category')\n",
    "\n",
    "# عرض الجدول النهائي\n",
    "print(detailed_summary.to_string(index=False))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f6cf7f40-9b33-4cde-a9d2-7b481175487b",
   "metadata": {},
   "outputs": [],
   "source": [
    "############# TeST\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "38cb3d06-39c1-408f-bebb-0e0b27c89a1b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ تم حفظ البيانات بعد المعالجة بنجاح!\n"
     ]
    }
   ],
   "source": [
    "#🔹 1. ملف preprocessing.py (تنظيف وتحضير البيانات)\n",
    "\n",
    "\n",
    "import pandas as pd\n",
    "import os\n",
    "import pickle\n",
    "\n",
    "# ✅ تحميل البيانات\n",
    "file_path = r\"D:\\PHD Dream\\THESIS\\dataset\\new excel files dataset\\Jordan News Agencies Websites.xlsx\"\n",
    "df = pd.read_excel(file_path)\n",
    "\n",
    "# ✅ تحديد أسماء الأعمدة\n",
    "main_category_col = \"Predominant Main Category\"\n",
    "sub_category_col = \"Predominant Sub Category\"\n",
    "real_fake_col = \"Predominant Fake/Real\"\n",
    "text_col = \"Clean text\"\n",
    "\n",
    "# ✅ التحقق من الأعمدة المطلوبة\n",
    "required_columns = [main_category_col, sub_category_col, real_fake_col, text_col]\n",
    "if not all(col in df.columns for col in required_columns):\n",
    "    print(\"⚠️ تأكد من صحة أسماء الأعمدة في ملف الإكسل!\")\n",
    "    exit()\n",
    "\n",
    "# ✅ إزالة القيم الفارغة\n",
    "df = df.dropna(subset=required_columns)\n",
    "\n",
    "# ✅ تحويل التصنيفات إلى أرقام\n",
    "main_category_labels = {label: idx for idx, label in enumerate(df[main_category_col].unique())}\n",
    "sub_category_labels = {label: idx for idx, label in enumerate(df[sub_category_col].unique())}\n",
    "real_fake_labels = {label: idx for idx, label in enumerate(df[real_fake_col].unique())}\n",
    "\n",
    "df[\"Main_Category_Label\"] = df[main_category_col].map(main_category_labels)\n",
    "df[\"Sub_Category_Label\"] = df[sub_category_col].map(sub_category_labels)\n",
    "df[\"Real_Fake_Label\"] = df[real_fake_col].map(real_fake_labels)\n",
    "\n",
    "# ✅ **حفظ البيانات المنظفة**\n",
    "processed_file = \"processed.pkl\"\n",
    "with open(processed_file, \"wb\") as f:\n",
    "    pickle.dump(df, f)\n",
    "\n",
    "print(\"✅ تم حفظ البيانات بعد المعالجة بنجاح!\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0177d4d2-4a50-43dd-b896-06c2fbb2dfec",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "⚠️ حساب التمثيلات العددية الآن...\n",
      "✅ تم حفظ التمثيلات العددية بنجاح!\n"
     ]
    }
   ],
   "source": [
    "# 🔹 2. ملف generate_embeddings.py (حساب التمثيلات العددية embeddings)\n",
    "\n",
    "import pandas as pd\n",
    "import torch\n",
    "import numpy as np\n",
    "import os\n",
    "import pickle\n",
    "from transformers import AutoTokenizer, AutoModel\n",
    "\n",
    "# ✅ تحميل النموذج\n",
    "MODEL_NAME = \"aubmindlab/bert-base-arabertv2\"\n",
    "tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)\n",
    "model = AutoModel.from_pretrained(MODEL_NAME)\n",
    "\n",
    "# ✅ تحميل البيانات المعالجة\n",
    "with open(\"processed.pkl\", \"rb\") as f:\n",
    "    df = pickle.load(f)\n",
    "\n",
    "embeddings_file = \"em.pkl\"\n",
    "\n",
    "if os.path.exists(embeddings_file):\n",
    "    print(\"🔄 تحميل التمثيلات العددية المحفوظة...\")\n",
    "    with open(embeddings_file, \"rb\") as f:\n",
    "        embeddings = pickle.load(f)\n",
    "else:\n",
    "    print(\"⚠️ حساب التمثيلات العددية الآن...\")\n",
    "\n",
    "    def get_embeddings(text):\n",
    "        inputs = tokenizer(text, return_tensors=\"pt\", padding=True, truncation=True, max_length=512)\n",
    "        with torch.no_grad():\n",
    "            outputs = model(**inputs)\n",
    "        return outputs.last_hidden_state[:, 0, :].squeeze().numpy()\n",
    "\n",
    "    df[\"embeddings\"] = df[\"Clean text\"].apply(lambda x: get_embeddings(x) if isinstance(x, str) else np.zeros(768))\n",
    "    \n",
    "    embeddings = np.vstack(df[\"embeddings\"].values)\n",
    "    with open(embeddings_file, \"wb\") as f:\n",
    "        pickle.dump(embeddings, f)\n",
    "\n",
    "print(\"✅ تم حفظ التمثيلات العددية بنجاح!\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c82f7b32-a321-435f-b607-dbc82ce23268",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🔄 Applying SMOTE for: Main Category\n",
      "⚠️ MemoryError during SMOTE for Main Category, using original data.\n",
      "🔄 Applying SMOTE for: Fake/Real\n",
      "✅ Main: 22 فئة موجودة\n",
      "✅ Sub: 74 فئة موجودة\n",
      "✅ Real/Fake: 2 فئة موجودة\n",
      "💾 Saved: train_data_main.pkl (40019 train, 10005 test)\n",
      "💾 Saved: train_data_sub.pkl (40020 train, 10005 test)\n",
      "💾 Saved: train_data_rf.pkl (70766 train, 17692 test)\n"
     ]
    }
   ],
   "source": [
    "import pickle\n",
    "import numpy as np\n",
    "from sklearn.model_selection import train_test_split\n",
    "from imblearn.over_sampling import SMOTE\n",
    "from collections import Counter\n",
    "\n",
    "# ✅ تحميل البيانات\n",
    "with open(\"processed.pkl\", \"rb\") as f:\n",
    "    df = pickle.load(f)\n",
    "\n",
    "with open(\"em.pkl\", \"rb\") as f:\n",
    "    X = pickle.load(f).astype(np.float32)  # تقليل الحجم\n",
    "\n",
    "# ✅ تحميل التصنيفات\n",
    "y_main = df[\"Main_Category_Label\"].values\n",
    "y_sub = df[\"Sub_Category_Label\"].values\n",
    "y_real_fake = df[\"Real_Fake_Label\"].values\n",
    "\n",
    "# ✅ إزالة الفئات التي تحتوي على أقل من عينتين\n",
    "def remove_low_samples(X, y, min_samples=2):\n",
    "    class_counts = Counter(y)\n",
    "    valid_classes = {cls for cls, count in class_counts.items() if count >= min_samples}\n",
    "    mask = np.isin(y, list(valid_classes))\n",
    "    return X[mask], y[mask]\n",
    "\n",
    "X_main, y_main = remove_low_samples(X, y_main)\n",
    "X_sub, y_sub = remove_low_samples(X, y_sub)\n",
    "X_rf, y_real_fake = remove_low_samples(X, y_real_fake)\n",
    "\n",
    "# ✅ إعادة التوازن باستخدام SMOTE\n",
    "def apply_smote(X, y, label):\n",
    "    print(f\"🔄 Applying SMOTE for: {label}\")\n",
    "    try:\n",
    "        smote = SMOTE(random_state=42, k_neighbors=1)\n",
    "        return smote.fit_resample(X, y)\n",
    "    except MemoryError:\n",
    "        print(f\"⚠️ MemoryError during SMOTE for {label}, using original data.\")\n",
    "        return X, y\n",
    "\n",
    "X_balanced_main, y_main_balanced = apply_smote(X_main, y_main, \"Main Category\")\n",
    "\n",
    "# إذا كانت SubCategory كبيرة جدًا وسببت MemoryError سابقًا، يمكن استخدام البيانات كما هي مؤقتًا:\n",
    "X_balanced_sub, y_sub_balanced = X_sub, y_sub\n",
    "\n",
    "X_balanced_rf, y_real_fake_balanced = apply_smote(X_rf, y_real_fake, \"Fake/Real\")\n",
    "\n",
    "# ✅ التأكد من التنوع الكافي\n",
    "def check_min_classes(y, label):\n",
    "    n_classes = len(set(y))\n",
    "    print(f\"✅ {label}: {n_classes} فئة موجودة\")\n",
    "    return n_classes >= 2\n",
    "\n",
    "if not all([\n",
    "    check_min_classes(y_main_balanced, \"Main\"),\n",
    "    check_min_classes(y_sub_balanced, \"Sub\"),\n",
    "    check_min_classes(y_real_fake_balanced, \"Real/Fake\")\n",
    "]):\n",
    "    exit()\n",
    "\n",
    "# ✅ تقسيم البيانات وحفظها\n",
    "def split_and_save_data(X, y, filename):\n",
    "    X_train, X_test, y_train, y_test = train_test_split(\n",
    "        X, y, test_size=0.2, random_state=42, stratify=y)\n",
    "    with open(filename, \"wb\") as f:\n",
    "        pickle.dump((X_train, X_test, y_train, y_test), f)\n",
    "    print(f\"💾 Saved: {filename} ({len(X_train)} train, {len(X_test)} test)\")\n",
    "\n",
    "split_and_save_data(X_balanced_main, y_main_balanced, \"train_data_main.pkl\")\n",
    "split_and_save_data(X_balanced_sub, y_sub_balanced, \"train_data_sub.pkl\")\n",
    "split_and_save_data(X_balanced_rf, y_real_fake_balanced, \"train_data_rf.pkl\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "698080b2-ae32-4f40-928b-3f8a4ede1d3c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "⚠️ تدريب نموذج SVM لأول مرة لتصنيف Main Category...\n",
      "[LibLinear]✅ تم حفظ نموذج SVM لتصنيف Main Category\n",
      "\n",
      "📊 SVM - Main Category Classification:\n",
      "✅ Accuracy: 0.6104947526236881\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.56      0.72      0.63      1492\n",
      "           1       0.58      0.45      0.51       304\n",
      "           2       0.65      0.65      0.65       459\n",
      "           3       0.73      0.84      0.78       172\n",
      "           4       0.62      0.68      0.65       157\n",
      "           5       0.53      0.33      0.41       722\n",
      "           6       0.68      0.59      0.63       332\n",
      "           7       0.55      0.51      0.53       803\n",
      "           8       0.81      0.86      0.84       251\n",
      "           9       0.67      0.61      0.64       798\n",
      "          10       0.47      0.27      0.35       404\n",
      "          11       0.49      0.50      0.49        34\n",
      "          12       0.67      0.69      0.68       248\n",
      "          13       0.41      0.43      0.42        79\n",
      "          14       0.51      0.35      0.41       289\n",
      "          15       0.28      0.31      0.29        85\n",
      "          16       0.41      0.70      0.52        20\n",
      "          17       0.77      0.87      0.82      1872\n",
      "          18       0.27      0.39      0.31        57\n",
      "          19       0.20      0.24      0.22        21\n",
      "          20       0.46      0.28      0.35       348\n",
      "          21       0.48      0.55      0.52      1058\n",
      "\n",
      "    accuracy                           0.61     10005\n",
      "   macro avg       0.54      0.54      0.53     10005\n",
      "weighted avg       0.60      0.61      0.60     10005\n",
      "\n",
      "✅ تم الانتهاء من تصنيف Main Category\n",
      "--------------------------------------------------\n",
      "\n",
      "⚠️ تدريب نموذج SVM لأول مرة لتصنيف Sub Category...\n",
      "[LibLinear]✅ تم حفظ نموذج SVM لتصنيف Sub Category\n",
      "\n",
      "📊 SVM - Sub Category Classification:\n",
      "✅ Accuracy: 0.4700649675162419\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.60      0.63      0.61      1427\n",
      "           1       0.40      0.35      0.38        17\n",
      "           2       0.49      0.52      0.50      1555\n",
      "           3       0.56      0.65      0.60       116\n",
      "           4       0.00      0.00      0.00         3\n",
      "           5       0.33      0.35      0.34       129\n",
      "           6       0.33      0.22      0.27        27\n",
      "           7       0.17      0.13      0.15        31\n",
      "           8       0.39      0.47      0.43       167\n",
      "           9       0.31      0.37      0.34       222\n",
      "          10       0.50      0.44      0.47         9\n",
      "          11       1.00      0.17      0.29         6\n",
      "          12       0.16      0.18      0.17       303\n",
      "          13       0.30      0.22      0.25       709\n",
      "          14       0.07      0.04      0.05        48\n",
      "          15       0.56      0.42      0.48        36\n",
      "          16       0.21      0.14      0.17        22\n",
      "          17       0.37      0.33      0.35        40\n",
      "          18       0.74      0.87      0.80       182\n",
      "          19       0.33      0.20      0.25        10\n",
      "          20       0.29      0.24      0.26        38\n",
      "          21       0.34      0.28      0.31        46\n",
      "          22       0.00      0.00      0.00        11\n",
      "          23       1.00      0.50      0.67         2\n",
      "          24       0.10      0.07      0.08        15\n",
      "          25       0.13      0.17      0.15        78\n",
      "          26       0.00      0.00      0.00        10\n",
      "          27       0.35      0.31      0.33        26\n",
      "          28       0.00      0.00      0.00         4\n",
      "          29       0.36      0.39      0.38       163\n",
      "          30       0.13      0.15      0.14        95\n",
      "          31       0.42      0.36      0.39        78\n",
      "          32       0.64      0.49      0.55        37\n",
      "          33       0.18      0.20      0.19        30\n",
      "          34       0.42      0.24      0.30        42\n",
      "          35       0.28      0.25      0.26        32\n",
      "          36       0.40      0.30      0.34        20\n",
      "          37       0.48      0.35      0.41        37\n",
      "          38       0.67      0.64      0.66        45\n",
      "          39       0.00      0.00      0.00        60\n",
      "          40       0.39      0.53      0.45        45\n",
      "          41       0.52      0.53      0.52       398\n",
      "          42       0.62      0.53      0.57        66\n",
      "          43       0.58      0.48      0.53        54\n",
      "          44       0.25      0.31      0.28        16\n",
      "          45       0.45      0.31      0.37        29\n",
      "          46       0.45      0.28      0.34        18\n",
      "          47       0.31      0.33      0.32       242\n",
      "          48       0.32      0.31      0.31        42\n",
      "          49       0.53      0.51      0.52        35\n",
      "          50       0.63      0.59      0.61       147\n",
      "          51       0.56      0.68      0.61        22\n",
      "          52       0.59      0.56      0.57        36\n",
      "          53       0.00      0.00      0.00        22\n",
      "          54       0.62      0.50      0.55        16\n",
      "          55       0.00      0.00      0.00         4\n",
      "          56       0.00      0.00      0.00         8\n",
      "          57       0.00      0.00      0.00         7\n",
      "          58       0.68      0.52      0.59        25\n",
      "          59       0.00      0.00      0.00         5\n",
      "          60       0.50      0.30      0.38        10\n",
      "          61       0.50      0.22      0.31         9\n",
      "          62       0.33      0.33      0.33       584\n",
      "          63       0.55      0.23      0.32        26\n",
      "          64       0.28      0.14      0.18        37\n",
      "          65       0.33      0.08      0.13        12\n",
      "          66       0.25      0.11      0.15        18\n",
      "          67       0.50      0.38      0.43        71\n",
      "          68       0.00      0.00      0.00         5\n",
      "          69       0.68      0.75      0.71      1446\n",
      "          70       0.28      0.26      0.27       596\n",
      "          71       0.73      0.53      0.62        15\n",
      "          72       0.00      0.00      0.00         4\n",
      "          73       0.00      0.00      0.00         7\n",
      "\n",
      "    accuracy                           0.47     10005\n",
      "   macro avg       0.36      0.30      0.31     10005\n",
      "weighted avg       0.46      0.47      0.46     10005\n",
      "\n",
      "✅ تم الانتهاء من تصنيف Sub Category\n",
      "--------------------------------------------------\n",
      "\n",
      "⚠️ تدريب نموذج SVM لأول مرة لتصنيف Fake/Real...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\DELL\\anaconda3\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
      "C:\\Users\\DELL\\anaconda3\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
      "C:\\Users\\DELL\\anaconda3\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[LibLinear]✅ تم حفظ نموذج SVM لتصنيف Fake/Real\n",
      "\n",
      "📊 SVM - Fake/Real Classification:\n",
      "✅ Accuracy: 0.7948225186524983\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.82      0.75      0.79      8846\n",
      "           1       0.77      0.84      0.80      8846\n",
      "\n",
      "    accuracy                           0.79     17692\n",
      "   macro avg       0.80      0.79      0.79     17692\n",
      "weighted avg       0.80      0.79      0.79     17692\n",
      "\n",
      "✅ تم الانتهاء من تصنيف Fake/Real\n",
      "--------------------------------------------------\n",
      "🎯 تم تدريب وتقييم جميع نماذج SVM بنجاح باستخدام LinearSVC و joblib!\n"
     ]
    }
   ],
   "source": [
    "# 🔹 ملف تدريب نماذج SVM باستخدام joblib لحفظ النماذج الكبيرة بكفاءة\n",
    "\n",
    "import joblib\n",
    "from sklearn.svm import LinearSVC\n",
    "from sklearn.metrics import accuracy_score, classification_report\n",
    "import os\n",
    "\n",
    "# ✅ تحميل بيانات التدريب لكل تصنيف\n",
    "with open(\"train_data_main.pkl\", \"rb\") as f:\n",
    "    X_train_main, X_test_main, y_train_main, y_test_main = joblib.load(f)\n",
    "\n",
    "with open(\"train_data_sub.pkl\", \"rb\") as f:\n",
    "    X_train_sub, X_test_sub, y_train_sub, y_test_sub = joblib.load(f)\n",
    "\n",
    "with open(\"train_data_rf.pkl\", \"rb\") as f:\n",
    "    X_train_rf, X_test_rf, y_train_rf, y_test_rf = joblib.load(f)\n",
    "\n",
    "# ✅ تقليل حجم البيانات لتجنب مشاكل الذاكرة\n",
    "X_train_sub = X_train_sub[:10000]\n",
    "y_train_sub = y_train_sub[:10000]\n",
    "\n",
    "X_train_rf = X_train_rf[:10000]\n",
    "y_train_rf = y_train_rf[:10000]\n",
    "\n",
    "# ✅ دالة لتدريب وتقييم نموذج SVM باستخدام LinearSVC\n",
    "def train_and_evaluate_svm(X_train, y_train, X_test, y_test, model_filename, classification_type):\n",
    "    if os.path.exists(model_filename):\n",
    "        print(f\"\\n🔄 تحميل نموذج SVM المحفوظ لتصنيف {classification_type}...\")\n",
    "        svm_model = joblib.load(model_filename)\n",
    "    else:\n",
    "        print(f\"\\n⚠️ تدريب نموذج SVM لأول مرة لتصنيف {classification_type}...\")\n",
    "        svm_model = LinearSVC(verbose=1, max_iter=10000, dual=False)\n",
    "        svm_model.fit(X_train, y_train)\n",
    "        joblib.dump(svm_model, model_filename)\n",
    "        print(f\"✅ تم حفظ نموذج SVM لتصنيف {classification_type}\")\n",
    "\n",
    "    # ✅ التنبؤ والتقييم\n",
    "    print(f\"\\n📊 SVM - {classification_type} Classification:\")\n",
    "    y_pred = svm_model.predict(X_test)\n",
    "    print(\"✅ Accuracy:\", accuracy_score(y_test, y_pred))\n",
    "    print(classification_report(y_test, y_pred))\n",
    "    print(f\"✅ تم الانتهاء من تصنيف {classification_type}\\n{'-'*50}\")\n",
    "\n",
    "# ✅ تدريب وتقييم النماذج لكل تصنيف\n",
    "train_and_evaluate_svm(X_train_main, y_train_main, X_test_main, y_test_main, \"svm_model_main.joblib\", \"Main Category\")\n",
    "train_and_evaluate_svm(X_train_sub, y_train_sub, X_test_sub, y_test_sub, \"svm_model_sub.joblib\", \"Sub Category\")\n",
    "train_and_evaluate_svm(X_train_rf, y_train_rf, X_test_rf, y_test_rf, \"svm_model_rf.joblib\", \"Fake/Real\")\n",
    "\n",
    "print(\"🎯 تم تدريب وتقييم جميع نماذج SVM بنجاح باستخدام LinearSVC و joblib!\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f240390c-48e2-42e2-9b24-9e1200a18602",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ce1a1d08-1972-4cd3-9856-cc88f986d36b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "⚠️ تدريب نموذج SVM لأول مرة لتصنيف Main Category...\n",
      "🧪 تطبيق SMOTE لموازنة البيانات...\n",
      "✅ عدد العينات بعد SMOTE: 164714\n",
      "✅ تم حفظ النموذج في svm_model_main.pkl (⏱️ الوقت: 943.38 ثانية)\n",
      "\n",
      "📊 SVM - Main Category Classification:\n",
      "✅ Accuracy: 0.802336312414999\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.53      0.55      0.54      1871\n",
      "           1       0.72      0.78      0.75      1871\n",
      "           2       0.77      0.78      0.78      1872\n",
      "           3       0.95      0.99      0.97      1872\n",
      "           4       0.93      0.98      0.95      1872\n",
      "           5       0.61      0.51      0.55      1871\n",
      "           6       0.82      0.85      0.83      1872\n",
      "           7       0.67      0.59      0.63      1872\n",
      "           8       0.96      0.99      0.98      1871\n",
      "           9       0.74      0.73      0.73      1872\n",
      "          10       0.66      0.51      0.58      1872\n",
      "          11       0.99      1.00      0.99      1871\n",
      "          12       0.86      0.90      0.88      1872\n",
      "          13       0.93      0.98      0.95      1871\n",
      "          14       0.72      0.65      0.69      1872\n",
      "          15       0.88      0.98      0.93      1871\n",
      "          16       0.99      1.00      0.99      1872\n",
      "          17       0.73      0.77      0.75      1872\n",
      "          18       0.95      1.00      0.97      1872\n",
      "          19       1.00      1.00      1.00      1872\n",
      "          20       0.62      0.67      0.64      1871\n",
      "          21       0.48      0.44      0.46      1872\n",
      "\n",
      "    accuracy                           0.80     41176\n",
      "   macro avg       0.80      0.80      0.80     41176\n",
      "weighted avg       0.80      0.80      0.80     41176\n",
      "\n",
      "✅ تم الانتهاء من التصنيف.\n",
      "------------------------------------------------------------\n",
      "\n",
      "⚠️ تدريب نموذج SVM لأول مرة لتصنيف Sub Category...\n",
      "🧪 تطبيق SMOTE لموازنة البيانات...\n",
      "✅ عدد العينات بعد SMOTE: 9525\n",
      "✅ تم حفظ النموذج في svm_model_sub.pkl (⏱️ الوقت: 113.99 ثانية)\n",
      "\n",
      "📊 SVM - Sub Category Classification:\n",
      "✅ Accuracy: 0.8015117994100295\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.33      0.23      0.27      1446\n",
      "           1       0.91      0.90      0.90      1447\n",
      "           2       0.16      0.10      0.13      1447\n",
      "           3       0.86      0.91      0.88      1446\n",
      "           4       0.98      1.00      0.99      1446\n",
      "           5       0.69      0.68      0.68      1446\n",
      "           6       0.87      0.93      0.90      1446\n",
      "           7       0.83      0.82      0.83      1446\n",
      "           8       0.74      0.50      0.60      1446\n",
      "           9       0.59      0.47      0.52      1446\n",
      "          10       0.97      0.96      0.96      1446\n",
      "          11       0.97      0.99      0.98      1447\n",
      "          12       0.35      0.32      0.33      1446\n",
      "          13       0.21      0.14      0.17      1446\n",
      "          14       0.65      0.78      0.71      1447\n",
      "          15       0.84      0.78      0.81      1447\n",
      "          16       0.84      0.89      0.87      1446\n",
      "          17       0.77      0.84      0.80      1446\n",
      "          18       0.86      0.85      0.85      1446\n",
      "          19       0.93      0.99      0.96      1446\n",
      "          20       0.82      0.81      0.81      1447\n",
      "          21       0.85      0.83      0.84      1447\n",
      "          22       0.93      0.99      0.96      1446\n",
      "          23       0.99      1.00      1.00      1447\n",
      "          24       0.92      0.93      0.92      1447\n",
      "          25       0.58      0.60      0.59      1446\n",
      "          26       0.91      0.98      0.95      1447\n",
      "          27       0.85      0.93      0.89      1447\n",
      "          28       0.96      1.00      0.98      1446\n",
      "          29       0.65      0.65      0.65      1447\n",
      "          30       0.58      0.60      0.59      1446\n",
      "          31       0.74      0.79      0.76      1446\n",
      "          32       0.89      0.90      0.90      1447\n",
      "          33       0.67      0.79      0.73      1446\n",
      "          34       0.88      0.83      0.86      1446\n",
      "          35       0.78      0.83      0.80      1446\n",
      "          36       0.86      0.93      0.90      1446\n",
      "          37       0.86      0.86      0.86      1447\n",
      "          38       0.88      0.91      0.90      1446\n",
      "          39       0.50      0.54      0.52      1446\n",
      "          40       0.86      0.79      0.82      1446\n",
      "          41       0.70      0.73      0.71      1447\n",
      "          42       0.88      0.77      0.82      1446\n",
      "          43       0.89      0.87      0.88      1447\n",
      "          44       0.92      0.95      0.93      1446\n",
      "          45       0.85      0.86      0.86      1446\n",
      "          46       0.93      0.96      0.95      1447\n",
      "          47       0.49      0.55      0.52      1446\n",
      "          48       0.82      0.82      0.82      1447\n",
      "          49       0.90      0.90      0.90      1446\n",
      "          50       0.75      0.80      0.77      1446\n",
      "          51       0.91      0.95      0.93      1447\n",
      "          52       0.91      0.93      0.92      1447\n",
      "          53       0.86      0.90      0.88      1446\n",
      "          54       0.97      1.00      0.98      1446\n",
      "          55       0.96      1.00      0.98      1447\n",
      "          56       0.96      0.99      0.98      1446\n",
      "          57       0.93      0.97      0.95      1447\n",
      "          58       0.92      0.89      0.90      1446\n",
      "          59       0.96      1.00      0.98      1447\n",
      "          60       0.94      0.97      0.95      1447\n",
      "          61       0.96      0.98      0.97      1446\n",
      "          62       0.27      0.25      0.26      1446\n",
      "          63       0.93      0.91      0.92      1446\n",
      "          64       0.80      0.87      0.83      1446\n",
      "          65       0.90      0.97      0.93      1447\n",
      "          66       0.89      0.95      0.92      1446\n",
      "          67       0.84      0.81      0.83      1447\n",
      "          68       0.99      1.00      0.99      1447\n",
      "          69       0.56      0.42      0.48      1446\n",
      "          70       0.26      0.23      0.24      1447\n",
      "          71       0.33      0.35      0.34      1447\n",
      "          72       0.94      0.99      0.97      1446\n",
      "          73       0.96      1.00      0.98      1447\n",
      "          74       0.95      0.99      0.97      1446\n",
      "\n",
      "    accuracy                           0.80    108480\n",
      "   macro avg       0.79      0.80      0.79    108480\n",
      "weighted avg       0.79      0.80      0.79    108480\n",
      "\n",
      "✅ تم الانتهاء من التصنيف.\n",
      "------------------------------------------------------------\n",
      "\n",
      "⚠️ تدريب نموذج SVM لأول مرة لتصنيف Fake/Real...\n",
      "🧪 تطبيق SMOTE لموازنة البيانات...\n",
      "✅ عدد العينات بعد SMOTE: 70766\n",
      "✅ تم حفظ النموذج في svm_model_rf.pkl (⏱️ الوقت: 52.63 ثانية)\n",
      "\n",
      "📊 SVM - Fake/Real Classification:\n",
      "✅ Accuracy: 0.8155663576757857\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.86      0.75      0.80      8846\n",
      "           1       0.78      0.88      0.83      8846\n",
      "\n",
      "    accuracy                           0.82     17692\n",
      "   macro avg       0.82      0.82      0.81     17692\n",
      "weighted avg       0.82      0.82      0.81     17692\n",
      "\n",
      "✅ تم الانتهاء من التصنيف.\n",
      "------------------------------------------------------------\n",
      "🎯 تم تدريب وتقييم جميع نماذج SVM بنجاح باستخدام LinearSVC و SMOTE!\n"
     ]
    }
   ],
   "source": [
    "import pickle\n",
    "import time\n",
    "import os\n",
    "from sklearn.svm import LinearSVC\n",
    "from sklearn.metrics import accuracy_score, classification_report\n",
    "from imblearn.over_sampling import SMOTE\n",
    "\n",
    "# ✅ تحميل بيانات التدريب لكل تصنيف\n",
    "with open(\"train_test_data_main.pkl\", \"rb\") as f:\n",
    "    X_train_main, X_test_main, y_train_main, y_test_main = pickle.load(f)\n",
    "\n",
    "with open(\"train_test_data_sub.pkl\", \"rb\") as f:\n",
    "    X_train_sub, X_test_sub, y_train_sub, y_test_sub = pickle.load(f)\n",
    "\n",
    "with open(\"train_test_data_rf.pkl\", \"rb\") as f:\n",
    "    X_train_rf, X_test_rf, y_train_rf, y_test_rf = pickle.load(f)\n",
    "\n",
    "# ✅ تقليل حجم بيانات Sub Category لتسريع التدريب\n",
    "X_train_sub = X_train_sub[:8000]\n",
    "y_train_sub = y_train_sub[:8000]\n",
    "\n",
    "# ✅ دالة لتطبيق SMOTE\n",
    "def apply_smote(X, y):\n",
    "    print(\"🧪 تطبيق SMOTE لموازنة البيانات...\")\n",
    "    smote = SMOTE(random_state=42, k_neighbors=1)\n",
    "    X_resampled, y_resampled = smote.fit_resample(X, y)\n",
    "    print(f\"✅ عدد العينات بعد SMOTE: {len(y_resampled)}\")\n",
    "    return X_resampled, y_resampled\n",
    "\n",
    "# ✅ دالة لتدريب وتقييم النموذج\n",
    "def train_and_evaluate_svm(X_train, y_train, X_test, y_test, model_filename, classification_type):\n",
    "    if os.path.exists(model_filename):\n",
    "        print(f\"\\n🔄 تحميل نموذج SVM المحفوظ لتصنيف {classification_type}...\")\n",
    "        with open(model_filename, \"rb\") as f:\n",
    "            svm_model = pickle.load(f)\n",
    "    else:\n",
    "        print(f\"\\n⚠️ تدريب نموذج SVM لأول مرة لتصنيف {classification_type}...\")\n",
    "\n",
    "        # ✅ تطبيق SMOTE قبل التدريب\n",
    "        X_train, y_train = apply_smote(X_train, y_train)\n",
    "\n",
    "        start_time = time.time()\n",
    "        svm_model = LinearSVC(max_iter=10000, dual=False)\n",
    "        svm_model.fit(X_train, y_train)\n",
    "        with open(model_filename, \"wb\") as f:\n",
    "            pickle.dump(svm_model, f)\n",
    "        print(f\"✅ تم حفظ النموذج في {model_filename} (⏱️ الوقت: {time.time() - start_time:.2f} ثانية)\")\n",
    "\n",
    "    # ✅ تقييم النموذج\n",
    "    print(f\"\\n📊 SVM - {classification_type} Classification:\")\n",
    "    y_pred = svm_model.predict(X_test)\n",
    "    print(\"✅ Accuracy:\", accuracy_score(y_test, y_pred))\n",
    "    print(classification_report(y_test, y_pred))\n",
    "    print(\"✅ تم الانتهاء من التصنيف.\\n\" + \"-\"*60)\n",
    "\n",
    "# ✅ تدريب وتقييم النماذج لكل تصنيف\n",
    "train_and_evaluate_svm(X_train_main, y_train_main, X_test_main, y_test_main, \"svm_model_main.pkl\", \"Main Category\")\n",
    "train_and_evaluate_svm(X_train_sub, y_train_sub, X_test_sub, y_test_sub, \"svm_model_sub.pkl\", \"Sub Category\")\n",
    "train_and_evaluate_svm(X_train_rf, y_train_rf, X_test_rf, y_test_rf, \"svm_model_rf.pkl\", \"Fake/Real\")\n",
    "\n",
    "print(\"🎯 تم تدريب وتقييم جميع نماذج SVM بنجاح باستخدام LinearSVC و SMOTE!\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e126863e-de93-4c18-9769-557f7a9f7a10",
   "metadata": {},
   "outputs": [],
   "source": [
    "# نحاول نرسم "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "1c8cfcc3-9da1-4ac6-a4b4-c163269766e3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "📂 الصورة موجودة: svm_main.png - سيتم عرضها فقط ✅\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "📂 الصورة موجودة: svm_sub.png - سيتم عرضها فقط ✅\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "📂 الصورة موجودة: svm_rf.png - سيتم عرضها فقط ✅\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Saved to: etc_main.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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O6uYUDQ0NevbsyYoVK7h37x5169ZN96X15s2bHDlyhJYtW3Ls2DGFdnL9+nVWrFiR4zxlha9Lbs6dO8fcuXMzHW/27Nloa2tz+/ZtSpUqpeC3a9euLOXha1tftWpVimM30wsfEBCQqn9y28qJzaXXNpNuXB02bJh8CY1YMiMQ/LcQy2YE/3n69OmDmpoazs7Oaf64fuXrDGPZsmXR1tbm5s2bqV5Gc+nSJSD7p8NkxNfTKVKbfbx79266cU1MTOjUqRMeHh40bdoUb29vnj9/nmb4761rctq0aYO5uTm+vr789ttv6b40BAYGEhYWRu3atVPMet66dYuoqKgUcb4OTnP7K8jbt28ZNGgQBQoU4N69e1SvXp1FixbJyy8v6d+/P4mJiXz48CHd/QIgO1UFoG3btile8K5cuaK0PKZFkyZNKFGiBNeuXePChQvphk36ReDFixeUK1cuxcD9/fv3ch2Tkl47+Lpu/Z9//slUnr+e7JPavhAfHx/evXun4JY/f35KlCjB8+fPU7Xx7Nqcjo4OPXv25O7du1y6dIk9e/ZQsWLFPDnpSCAQ5B1i8C74z2Ntbc2kSZMIDAykdevWCp+vvxIdHY2jo6N85lNTU5Pu3bsTGBiIvb29QtizZ89y4sQJrK2tFTbm5SbVq1cHZGu+k7J3795UB4OnTp1KMUsfFxcn//z/dRlJanxvXZOjrq7O4cOHOXDgQIaz1gUKFEBHR4c7d+4ovHiEhIQwcuTIVON83dTo4+OTa3lOTEykZ8+ehIaG4u7uTuHChdmxYwc6Ojr06tWLkJCQXJOVGWxsbDh+/DgHDhxI98sFID8+Mfkxjp6eninaQ16gpqbGmjVrUFVVpUuXLpw/fz7VcEeOHOH333+XP1tZWfH8+XOF2ezo6GiGDh2a6hes9NpBzZo1qVWrFjt37sTDwyOFf2JiooId1q9fn6JFi3Lo0CFu3LihEHbGjBmpyu/duzdxcXHY2dkhSZLc/dGjR7i5uWFgYJDlJVPwbeNqjx49iIyMFLPuAsF/ELFsRvB/wfz584mOjmb58uWUKVOGpk2bYmtri4aGBq9eveLs2bMEBQUxf/58eZzFixdz6dIl5s+fz7Vr16hVq5b87HNdXV3c3NyUdopIp06dKF68OO7u7rx7944qVarg7e3N+fPnadOmDcePH1cI37VrV3R1dalfvz5WVlbExcVx5swZvLy86Nq1a4Y3Yn5PXVOjRo0amZotVFVVZdiwYSxbtoxKlSrRvn17Pn36xIkTJ7CyssLS0jJFnKZNm7J06VIGDx7MH3/8Qb58+ShatCg9evTIdn4XLFjAlStXGDVqlPxUl1KlSrFy5Ur69+/PoEGD2LNnT7bTzw7pnS6TlJo1a1KzZk12796Nn58ftWvX5u3btxw+fJi2bduyd+9eJec0Ja1atWLr1q0MGDCAZs2aUb16derUqYO+vj7+/v5cvHiRFy9e8Msvv8jjjBw5kpEjR1KlShV+//134uPjOXPmDJIkUalSJfmm0q80adIEFRUVpk2bxuPHjzEwMMDAwIChQ4cCsHPnTpo0aUK3bt1wcnKiWrVqaGtr8/btW/755x8CAgKIjo4GZC8c69evp0OHDjRq1Ihu3bphbm7OpUuX8PX1pVKlSjx48EBB/qRJkzh27Bhbt27F29ubZs2aERAQgIeHB3FxcWzZsgV9ff0sl52trS1169bl2rVraGtr07NnzyynIRAIfnC+81GVAkGecvPmTalfv36StbW1pKOjI2lpaUnFihWTunfvnuI8Z0mSnVs+atQoycrKStLQ0JBMTU2l33//PdUbFrNzKyppnPMuSZL08uVLqWPHjpK+vr6UL18+qVmzZtLNmzdTTWvt2rVShw4dJCsrK0lbW1syMTGRatWqJW3YsEGKi4vLlExl65oayc95zwhSOec9NjZWWrBggVSqVCn5La/jxo2TwsPDJSsrqxS3ZkqSJDk4OEilSpWSNDQ00rxhNS2Sn3H+zz//SOrq6pKtra0UFRWVIvzvv/8uAZKLi0umdMwqSc95z4i0znn/+PGj1K9fP8nS0lLS1taWKlSoIK1Zs0Z6+fKlws2/X8nohtW05M6aNStLuvn4+EiTJ0+WqlSpIuXPn19SV1eXChYsKLVq1UpydXVVuP01MTFRWr9+vWRjYyNpa2tL5ubmUv/+/SV/f/80z+Z3d3eXKlSoIGlpaaV6w2pwcLA0ffp0ydbWVtLR0ZH09PSkUqVKST169JD279+fIr3z589L9evXl3R0dCRjY2Ppjz/+kN6+fSvZ2tpKBgYGKcJ//vxZmjFjhlS6dGlJU1NTMjQ0lFq3bi1duXIlRdis2NWGDRskQOrZs2eGYQUCwc+HiiQl+V4nEAgEAoEg1wgPD6dgwYJUqFCBf//9N09kDhs2jHXr1nHp0iUaNmyYJzIFAkHeIda8CwQCgUCQQyIiIggPD1dwS0hIYOLEiURFRWVr/Xp2CAgIYMuWLZQrV04M3AWC/yhizbtAIBAIBDnk2bNn1K9fn5YtW1KiRAnCw8O5cuUKXl5e2NjYMGrUKKXKP3bsGHfu3GHv3r1EREQwa9YspcoTCATfD7FsRiAQCASCHBIQEMCkSZO4dOkS/v7+xMfHU7RoUTp16sS0adMwNDRUqvw+ffqwefNmLC0tGTFiBHZ2dkqVJxAIvh9i8C4QCAQCgUAgEPwkiDXvAoFAIBAIBALBT4IYvAsEAoFAIBAIBD8JYvAuEAgEAoFAIBD8JPzfnDYzZ86c750FgUAgEAgEgu/Cj3YCkU6VEUqXEXV3tdJlfA/+bwbvAMPGTVNq+msdFwAwwW6mUuUALLWfC8Dfpi2VKqde4CkAJk9TrtEvXjAnT+W06z1WqXIAjm5eDsDEqcptD0sWytpC27+Uq9OxLXmrT7fBE5UqB2DXhiVA3umUV+173OQZSpXjuHgeoHx94JtOoydNV6qcFQ7zgf9eXzd03FSlygFY57gQ+O+V3ZhJyrUjJweZHfUbOUWpcgBcVy1SugxB3vF/NXgXCAQCgUAgEPwAqIiV29lFlJxAIBAIBAKBQPCTIGbeBQKBQCAQCAR5i4rK987BT4uYeRcIBAKBQCAQCH4SfpqZ97Vr17JkyRL8/PywsbHBycmJBg0a5CjN+Ph4XJ3XcObkMYKCAjExNaNNu4707j8EVVXZe82l82c4tH83T7y9CAsLxW37XkqVKZdlWa4bN3D+7Blev3qJlrY2lSpVYdTY8RQrXgKAuLg41q5awd9XLuHj64Oenh61atdl1JhxmBUomGqao0ePZlYqV24ffviB1ZdfA9CrRmHa2BRAT0udx/6fWX35FW+Co+RhLfJrMaieFTYW+mioqXDrbRhrLr8mNCouyzoCeOzcjrvbJgIDAihpXYpJU6ZStVr1bKWVFrdv3cTddRPeXo8ICAhg+co1NG32S5bSOLTLjZt/X+D9uzdoampRqnxFuvcfgWWRYvIw65fO5vKZYwrxrMvaMneFm/x544qFPLp7g5CgQLR1dChdriLd+o+kUNFipMXtWzfZ4rYJLy9PAgMCcFyxmiZf8v+1HVy9cgkfnyTtYOw4CqTRDpLqdOvvC7z3+aZTt34pdbpyVlGnkmVtmev0TSf/9z7s2LiCJ573iIuLo1K1OvQeNiFd2enpBHDuzGn27fHA28uT0NBQdu09QJmyGdvRo/u3ObBzCy+eehEcFMjU+Y7UbtBE7h8VGclm55X8e/UC4WFhFDC3pN1v3WjTqUuKtCRJYs6kEdy5cS1FOlnRJyd1lFly24727t7J3t278HvvC0CJktYMGDyMevUbEh8Xx9rVK/j76mV8fXzQ09ejZq06jBw9HrMCBXKsyyaXDZw7c5pXX/q+ypWrMGbcBHnfl1u4b3Jm3SonuvboxbhJdnL3Vy9fsGaFI3du30RKTKR4SWsWOjhibmGZI3l50dcpS1Z8fDxuzmsVfvtat+tI7/6D5b99rhvWcO70ST76f0BdQ4My5cozcNgobGwr/nD6fC857pucWbtqOd169GLcJNnG4AvnTrN/724ee3sSFhrKtl37KZ2Jvu7B3Vvs3u7OsyfeBAUGMGeRE/UaNQUgPj4Otw2r+ffaFT689yGfnj5VqtdiwLAxmJp9s9Hli+Zy59Z1ggIC0NHVpXyFSgwcNpaixYrnms65iljznm1+ipLz8PBgzJgxTJs2jbt379KgQQNat27N27dvc5Tu9s2bOLRvN2MnTWP7niMMGzmOHVvd2OuxXR4mKiqKCpWqMGRkzk7yuH3rJl269WDzdg/WObsSnxDPsMEDiIqMBCA6OprH3l4MGDyMHR77WLp8FW/evGbMyGFppuni4kJXt9vyv8mHvAC4/DwYgC5VLOlc2ZzVl18xcs9DQiJjWdShHDoasmrXVlfFvkM5JAkmHfRi7D5PNFRVmNu2DNn5mHXyxHEcFtkzcNBQPPYepGrVagwbPBC/9++zkVraREVFUqZMGaZMy/4JId4P7tC8/R/MdXLFzn41iQkJLJo6kujoKIVwlarXYe3OE/K/SfOcFPyLlyrL4PEzWeqymykLViEhsWjqCBITEtLJfxSly5RlytSUJxlER0fj7eXFwMHD2Ll7H8ucVvH2zWvGjEi7HXzl8cM7/NL+D+Ysd2WK/WoSEhJYNC2lThWr12HNjhPyv6Q6RUdHsWia7PiuqYvWMWvZRuLj41g6axySJGVLp6/+lapUZeSY8RnqkZSYqCiKW5dm0JjUT2PYtHopd25cY9y0BazZsp8Of/yJ80oHrl+9kCLs4T3bUcnkZ1pl1VFmUIYdFShgzojR49iyYw9bduyhes3ajB89ghfPn8n6nsdeDBg0lG0e+1jiuJK3b14zbnTu6HPr5g26dv+TrTt3s8HFjfiEBIYM7E/kl74vN/B69JCD+/ZgXbqMgrvPu7cM6tsTq2LFWbfRnW27D9Bv4FA0tbRyJC+v+jplydrx5bdvzKSpbNtzmKEjx7Fzqxv7kvz2FbEqxthJU9m8az9rN27B3MKS8cMHERIS/MPp8z3keD16yIF9u1O0uaioKCpVrsLwUeOylF50dBQlSpVhxHi7VPyiefbEm559B7PO3YNZ9o74vHvDzEmjFMKVKlueidPm4rrrIIuc1oEkMXnMYBLS+T0S/Jz8FDPvjo6O9O/fnwEDBgDg5OTEqVOnWLduHfb29tlO1/Phfeo3akrd+o0AsLAsxNlTx3ni5SkP06ptBwD5jFV2WbN+o8LznHn2NGtUFy8vT6pVr4G+vj7rXFwVwky2m06v7n/g5/cei1RmiSIjIwmJ/DZD3rWqJb5h0Tx4/wmAXyuZs/PWe/5+GQLAkrMv8OhXjaalTTnm+REbC30K6msxzOMhkXEy4156/gX7B9SgcuH83PX5lCUdt25249fffqPz738AMMluGteuXWW3x05Gj83aoC096jdoRP0GjXKUxpSFqxSeB4+fyZCuLXj1zJtyFarK3dU1NDE0Nk0znWZtOsv/b2ZuSZfeQ5kytAcB/n5pxqnfoCH1GzRM1U9fX5/1G1O2g57ptAN5uAXJdBo3k6HdUuqkkY5OTz3vE+Dvx4LV29DNpydPZ9AfzShW2Bxzc/Ms6wTQrkNHAN77+qQZJjWq1a5Ptdr10/R/7PWApi3bUaGKbDatVYffOHVkH8+feFG7/reZ9VfPn3Bo9zaWbdhG787NM5SrrDrKDMqwo4aNFb8yDB85hn27d/HwwX1Kdi7F2g2K+kycMp3ef3bhg9/7HM9Qr3PepPA8d749TRrUwftL35dTIiMjmDl1ElNnzsHNZYOi7NUrqFu/ISPHfvtyVKhwkRzLzKu+TlmyHj28T/1GTRR++86dOs7jJL99zVu1VYgzcuwkjh3az4tnT6les3Y2tcm7slOmnMjICGZMnci0mXNxdVmv4Nem3de+Lmtjhpp1GlCzTuqrCfT09HFY6azgNmKcHSP698D/gx8FzS0AaNfpd7m/uUUh+g4eyaBev+Pvl/svlbmCWPOebX74mffY2Fhu375NixYtFNxbtGjBtWvXcpR2hcpVuH3zOm/fvAbg2dPHPLh/l9r1crYcJzOEfw4HwMDAIM0wn8PDUVFRQV8/f4bpqauq0Ky0Kae8PwJgnl8Lk3ya3H4XKg8Tlyjx4P0nypvrA6ChJjOcuIREeZjY+EQSEiVsLTKWmZS42Fi8vTypU1dxoFWnbj3u37ubpbS+B5ERnwHQS1bW3g9uM6RLC8b1+w2X5fMJC0171ik6OopLp49gZm6JiVnuLJ8AWVvJbDtISmRk2joN7dqC8f1/w8VJUaf4uFhUUEFDQ1PupqGpiYqqKh8/fsyBFsqhfIXK3Pj7EkEBH5EkiQd3bvL+3Ruq1qgrDxMTHcXSuXYMGjMZI5O0X8RyQnbrKDl5YUcJCQmcOnGMqKhIKlaqnGqYz1/0Sd52coPP4bK+L386fV9WWLJwPvUaNKJm7boK7omJiVy7comiVsUYNXQgrZrUp1/Prlw6fzZH8vKyr1OWrIqVq3L75r/y377nTx/z4P4d6tRL/YU1Li6Owwf2oKenn2KmOSvkVdkpW47Dwnmptrm8JOLz5y82qp+qf1RUJCePHsTcshBmBVOfdBH8vPzwM++BgYEkJCRQsKDiYKhgwYJ8+PAhR2n37D2AiM+f+fP3dqiqqpGYmMCgYaNTzDjkNpIk4bhkEZWrVsO6VOlUw8TExLDSaRmt2rRDT08vwzTrljBCT0ud094BABjragAozMwDhEbGUUBf9snY+8NnouMS6F+3KG7X36EC9K9TFDVVFYzzaWRJp5DQEBISEjAxMVFwNzExJTAwIEtp5TWSJLHNeTllbCpTpJi13L1S9brUavALpgXN+fjhPXs3r2fBpKEsWL0VDc1vg9szR/awY+MqYqKjsCxSjKn2a1DXyFr5pUVMTAwrly+jdSbbQVKdtm9IRaca33QK+PCePVvWs3DyUOavkulkXbYCWtra7HJdRZc+w5GQ2LVpFVJiItHR0bmiU24ycNRkVi+ZS9/fW6Kmpo6KqgojJ86kfMUq8jAbVy+jrG0lhZn43CS7dZQayrSj58+e0rdXd2JjY9DR1WXJ8lWUKGmdIlxMTAyrVzjSqnXO9UmOJEksdbCnStVqlEqj78sKp08e58ljL9y2707hFxIcRGRkJFtcNzJk+ChGjB7HP9euMnn8aNa6uFM1m7P+ednXKUvWn7378/lzOD1/by//7Rs4bBS/tGqjEO7vKxeZM3Ui0dHRmJia4bjGGUNDo2zLzauyU6ac0yeP8eSxF+7b9+QonZwQGxPDpnVONG3Rhnz5FG300L5duKxZTnRUFEWtiuOwwhmNXPo9ynXEmvds88MP3r+SfK2qJElprl+NiYkhJiZGwS0+Pj5FuHOnT3D6xFFmzXegeElrnj15zErHRZiamdG6Xadcy3tyFi2Yx7OnT3DdvCNV/7i4OOwmytYY203P3E1yrcoV4OabUIIjM95o+nXpclh0PPNPPWNko+J0qmiOJMGFZ4E8+/iZxMS01zenR1bq6UfBfY0Db189Z9YyFwX3Oo2/fe0pUsyaEqXKM+qv9ty9cZWa9ZvK/eo1bY1t1VqEBgdybO82ViywY/ZyxWVS2SEuLo4pX9vBjKzdKPhVp5nJdWqkqFPxUuUZ3bs9925cpUb9puQ3NGLUtEW4rV7EqUMeqKioUqdxC4pZl0VF5cdbN3l0306eej1k+kInzMwt8Lx/h/XL7TEyMaVy9dr8+/dFHty5gdPGXUqRn5M6Sg9l2JFVsWLs2L2f8PBwzp89zewZdjhv2qIwgI+Pi2Pq5PEkJiYyOQd7StLCfv5cnj19ivvW1Pu+rOD/wQ9HB3tWrnNBK5U17F/7sIaNm9K9V28ASpctx8P799i/1yPbg/ev5GVfl9uyzp0+wZkTR5k5f7H8t2+V42JMzQrQ+suyD4Cq1WviumMfYaEhHDmwl1l2E9jgvgMjY5N0Us+YvCq73Jbzrc1tTLXN5QXx8XHMnzmJxMRERk1MeWt8s5ZtqVazDsGBAezZsZl50yewYsOW75BTgTL54QfvpqamqKmppZhl//jxY4rZ+K/Y29szZ84cBbdGjRoxapJiuLUrl/Fn7/780lI221DSujQf/N6z1W2j0gbvixfO4/LF82x030bBVNYPx8XFMWXCWHx9fdiwyT1TM18F9DWpUtiAuSefyt2+DuKNdDUUBvSGuhoKJ8ncfhdGn233yK+tTkKiRERsArv6VuXDc8WXn4wwMjRCTU2NwMBABffg4CBMlLRUITdwX7OE2/9cZuYy5wyXuhiZmGJawIIPvu8U3HXz6aGbTw+LQkUpVbYCA39ryq2/L+YoX3FxcUwePxZfHx+cXTPXDr6yee0S7ly/zIylWdDp/TedKlarzXK3g4SHhaKqpkY+PX2GdW9Jcaui2dZHGcTERLPVZRV28x2p8WWtaPGSpXn1/AkHPLZSuXptHty5yYf3PnRvp7gcYNHMCZSvWIWK5XOwBCAHdZQWyrQjDQ1NihS1AqC8jS1eng/ZuX0r02bK+sr4uDimTBzLe18f1rm45fqsu/2CeVy8eB7Xzan3fVnlsZcnIcFB9Onxh9wtISGBu3dusddjBxf/uY2aujrFS5ZUiFeseAnu372Tbbl52dcpS9a6lcv4s/cAhd8+fz8/trltVBi86+joUrhIUQoXKYpNhUp0/7UNRw/tp1ffgT+UPnklx9vLk+DgIHr3+La2/Gub2+Oxg6s37qOmppbt9DMiPj6OedMm8uG9L0tWb0wx6w6y9fF6evoULmJFOdtK/NqiHlcvnVNannLEDz6x9yPzw3+z0NTUpFq1apw5c0bB/cyZM9Stm/p6Mzs7O8LCwhT+UjtWMjo6Sn4s1lfU1NRIlBJThM0pkiSxaMFczp87w4ZN7hQqXDhFmK8D97dv37DexS3Tnydbli1AaFQc/74Okbt9+BRDUEQsVYt8W1eqrqpCRcv8eH0IT5HGp+h4ImITqFwoP4Y6GvzzKiRFmPTQ0NSkXHkbrl/7W8H9+rVrVKpcJY1Y3w9JknBb7cDNvy8wzWEdBcwLZRgn/FMowQH+6W5gBZCQiIuLzXbevg4K3759w/qNmW8HkiThvuaLTotzrpO+gSH59PTxvHeTT6EhFE6lzX5PEuLjiY+PRzXZD4CqqhpSosyGf+/Rl5Wuu1mxcZf8D6D/8PGMmjInRZqZJbt1lBF5aUeShLydfh24v337hrUbXHNNH5kciYXz53Lu7GlcXDdTOBc2jAJUr1WHHXsPsdVjv/yvXHlbWrZpx1aP/WhqalK+vC1vXr9SiPf2zescbcLNyzpSlqzo6GhUVJPZjZpqhr99kiQRF5v9vi2vyk5ZcmrUqsPOvYfY5rFf/leuvC2t2rRjm8f+PBm4+/q8wWGlMwYGhpmKJ7Pz7B39LPhx+eFn3gHGjRtHr169qF69OnXq1MHZ2Zm3b98yZMiQVMNraWml+KSlrp5S1XoNGrPF1ZmC5hYUL2HN0yfeeGzfTJsOv8rDfAoLxf+DH4EBsnVyXzf4GJuYYmJqlmkdFi2Yy4njR1m+Yg26+fLJ193p6emjra1NfHw8k8aN5rG3FyvWrCchMUEexsDAQGEDYVJUgBblzDjzOIDkK10O3P9A92qFeB8ajW9YNN2qFSImPpHzT7/NRrQoa8bbkCjCouIob67P0AZW7L/vh09o1tc39+rdl2lTJlHe1pZKlaqwb48Hfn5+/NG1W5bTSo/IiAiFY0J9fXx47O2NgYEBFpaZ+1F2W72YaxdOMX72UnR0dAkNlpWJbj49NLW0iY6KZN9WZ2rUb4qRsSkB/n54uK1B38CQGvUaA+Dv58P1S2eoUK02+Q2MCA78yJHdW9DU1KZyzXpcOfQ89fxHRvAuaf59fXjy2Jv8BgaYmRVg4rjRPPaStYPETLYDAPc1Mp3GzVqKdlo6bXOmZr2mGH7Rabf7GvQMDKlet7E8nUunD2NZpDj5DYx45v2AresdafVrd/Jrp12e6elkYWFJWFgoH/z85JteX7+SDahMTE0xTceOoiIj8UvypcPfz5eXz56gnz8/ZgUtsK1cDbf1TmhqacuWzdy7zYVTR+k3XHZMm5GJaaqbVM0KWmBukfbLjbLqKDMow47WrFxO3foNKFjQgsjICE6dPM7tWzdYudZZ1vdMGMMTby+Wr1qX6b4nsyycN4cTx4/itGot+XTzyftSPX1Z35dd8uXLR0nrUgpuOjo6GBgYyt179unHtEnjqFK1OtVq1OT6tatcvXyRtRvdsy0X8q6vU5asug0as9XVRf7b9+yJNx7bt9D2y29fVFQkW1ydqd+wCSamZoSFhXJgzy4CPvrT5JeWP5w+eSVH1uYU92p8a3My97CwUPz9/AgIkPV1b97I+jrjTPR1vj7f+hy/9748f/oY/fwGmJqaMWfqeJ4/8Wb+0tUkJiYSHCTr3/XzG6ChocF7Xx8unj1J9Vp1MTA0IijgI7u2uaKppUXNOvU58NI723orDbHmPdv8FIP3rl27EhQUxNy5c/Hz88PW1pbjx49jZWWVo3THTpyGy/qVLFs0j5CQYExNC9Ch8x/0HThUHubq5QssnDNd/jxrquzIsb4Dh9F/8PBMy9rjsROAgf3+UnCfPW8hHTp15qP/By5dPA9At987KYRxdt1M9Rq1Uk23ahEDCuprcco75Sac3Xffo6WuyohGxdH/ckmT3WFvouK+za4UNtSmX50i6Gup4x8ew85bvuy7n72NwK1atyEsNATndWsJCPiIdanSrFnvjKVlxjPAWcHT8xED+n4rx6UOsuNCO3T8lXkLF2UqjbNH9wEwb6LiC+Dg8TNp1KI9qqqqvH39gitnjxMREY6RsSnlK1Vj1NSF6OjmA0BTU4vHj+5x4sAuIj5/wsDQmLIVqjB7+UYMDI3TlO316BED+/WWPy9zkOW5fcdODBk2gksXUm8HLq6bqV4z9XaQVKf5kxR1GjTum07vXr3g6hedDI1NKV+xGiOT6ATg5/MGD7c1fA7/hFlBSzp260vrzj04vtUpWzrNXbCISxfOM2v6VLn/lImywfXgocMZMnxkmuk+f+LFtDHfPtFvWrMMgKat2jPGbi4TZy5ii/Mqls2fyudPnzAzt6DngOG07vhHWklmCmXVUWZQhh0FBQUyc9pkAgMC0NPTp1Tp0qxc60ztOvV47+vL5S99T48uvyrEW79xM9Vr1MyRPru/9H39+/RScJ87356Ov3ZOLUqu0bjpL0yePovNm1xwdFhIUati2C91onKVajlKN6/6OmXJGjtxKhvXr8Jx0fwvv31mdOz8B32+/Papqqrx9vUrph89TFhoCPkNDClX3pbVLpspnsom5++tz/eUk5wrFy8wd9a3vm7aZNmxlAMGD2fQ0BFpxnvy2JMJw/vLn9evXAJAizYd+GvAUP65chGAwX8p9m1L12yictUaaGpq8uj+HfZ7bONz+CeMjE2oULkaK5235HiPguDH46cYvAMMGzaMYcNy59KQr+jmy8fo8XaMTuVShK+0af8rbdr/mqZ/Zrnz8HG6/paFCmcYJjVuvwujxZrrafpvvenD1ptpn63tev0drtffpemfVbp2/5Ou3f/MtfRSo0bNWtz3fJKjNHacupmuv6aWNnbJzoJPjpGJGZPnr8iy7Oo1a3H3Udp1nZ5femw/mbFOyc+3T41u/UbSrV/aA+rUyEinDp0606FT1gdqFapU5/CltI92MzIxZbRd1pa/pJfeV5RVR5klt+1o5pwFafpZFirErfvKm5XLqa1mhXWbNqdw69DpNzp0+i3XZeVFX6csWbr58jFq/BRGjU/98jMtLS0WLMl635ZZ8qrs8kLO+k2Km0HbdfyVdh2zPmaoXLUGZ/95kKZ/en4ApmYFWOi4NstyvytizXu2Ed8sBAKBQCAQCASCn4SfZuZdIBAIBAKBQPAfQax5zzai5AQCgUAgEAgEgp8EMfMuEAgEAoFAIMhbxJr3bCNm3gUCgUAgEAgEgp8EFUmSpIyD/fwkv3FVIBAIBAKB4P+FWbNmfe8sKKBTf4bSZURdnad0Gd8DMfMuEAgEAoFAIBD8JPxfrXkfN1m5b3mOi2VveIPGpH1ufG7h7CS7mMirWAelyin/+jAAk6Yq943dYaHsy8jkacqVs3iBTE6XQROUKgdgt/NSACZOnalUOUsWzgWgftfMXxqWHa56rAFgzCTl2pGTg8yOBo5Wvh25rJDZUV7VUV6172HjpylVztplsnPjla0PfNMpr/rvvKqjvJIzZOzUDELmnPXLFwL/vbIbrmQ7WvPFjvqPUn5ft2mlvdJlZBmx5j3biJl3gUAgEAgEAoHgJ+H/auZdIBAIBAKBQPADIM55zzai5AQCgUAgEAgEgp+En2Lm/fLlyyxZsoTbt2/j5+fHgQMH6NSpU47T3bt7J3t378LvvS8AJUpaM2DwMOrVbwjAhnWrOX3yOP4fPqChoUG58uUZNmIMthUrZZj2/Tu32LXNnaePvQgKDGCegxMNGjeT+0uShLvLOo4e3Et4+CfK2VRgzMRpFC9pLQ+zzH4Ot29cJzAwAB0dXWwrVmLQiLFYFSshD2Okq8GfVS2pXCg/muqq+H2KZv3fb3kVHAXA0HpFaWxtopC3ZwERTD/+FIB8mmp0qWxBRUt9TPJpEh4dz813oXjc9SMqLjFL5env788KxyX8ffUKMTHRFLUqxuy5CyhvY5uldLLCJpcNrHRy5M+efzHJLmvrEz3v3+bAri28eOpNSFAgU+Yto3aDJnL/0OAgNm9Yyb1b/xDx+TM2FaswcPRkLAsXBSD8Uxg73dZz79Z1Aj/6k9/AkFr1G9Oj31Dy6emnKff2rZtscduEl5cngQEBOK5YTZNmv8j9z505zb49Hnh7eRIaGsquvQcoU7ZchvpcPnGAyycOEPzRDwCLosVp07UvNtXqkBAfz+Htznje/ofAD+/R0c1HmUo16PTXEAxNzORpBPj5sN9tDS+8HxAfF0v5qrXpMmgs+Q2NM12u7pucWbtqOd169GLcJNl6W+d1qzlz6pstlS1fnqEjxmBbIX1bun/3Fh7J7Kh+I0U72rxR0Y5GT5xG8RLWKdKSJIkpY4dy45+/U6STHGXVUWbx2Lkdd7dNBAYEUNK6FJOmTKVqterZTu/3ds354Pc+hfuvf3Rj/JQZbNqwhnOnTvDR/wPqGhqUKVeeQcNGY1OhYk7UUCC3dcqo/549w46jhw8qxLGtUBH3bR7ZlpmU3NYnL2XFx8fj5rKWMyePERwUiImJGa3bdeSv/oNRVZXN6UVGRrJh9XKuXjpPWFgo5haW/N71Tzr93i1Huty+dRN31014ez0iICCA5SvX0DSJbeUmuV1uv6VhR52/2JEkSbg6r+XQ/j2Eh3/CxrYi4yZPp0TJlP1Rch586euePZH1dXMWK/ZRVy6c5ejBPTx97MWnsFA2bNmDdemyKdLxfHgP1/WreOz5EDV1daxLlcF++bps66xUxMx7tvkpSi4iIoJKlSqxevXqXE23QAFzRowex5Yde9iyYw/Va9Zm/OgRvHj+DAArq2JMspvOrn2H2Oi+DQvLQgwfOoCQ4OAM046OjqJkqdKMnpj6ZqGdW1zZs3MLoydOZb37ToxNTJkwchCRERHyMKXLlmfyjHls9jjEkpXrkSSYOHIwCQkJAGhrazO3dSkSJAn7cy8Yf9CbrTd9iYxLUJB11+cTgzweyv/sz76Q+xnramCkq8HWW75MPOzN2r/fUMkyP0PqFs1SWX4KC6NPr+6oa2iwer0L+w4dY/zEKejr589SOlnh0cMH7N3jQenSZbIVPzo6muIlSzNo9OQUfpIkYT99HP5+PkxdsJzlLjswM7dg1vghREfJXoyCAwMIDgqgz9AxrHD1YNSU2dy9cY3VDnPTlRsVFUXpMmWZMjX1DXhRUVFUqlKVkWPGZ0kfQxMzOv01hMnLNjF52SZKV6jG+oVTeP/2JbEx0bx78YTWXfpg5+jKILuFfHz/lvULvukeEx3FqtljQQVGz1vJ+EXriY+PY938SSQmZu5FzuvRQw7s2411sjopalWMiVOms3PvIZzdZLY0MhO2FB0ls6NRE1K3o11bXdmzYwujJkxlvdtOjI1NmZjMjr6yd9dWVMjcBill1VFmOHniOA6L7Bk4aCgeew9StWo1hg0eiN/7lIOGzOKy1YNDpy7K/5av3QhAk19aAlCkqBVjJ09js8cB1m7aioVFIcYNH0hISMZ93ffSKaP+G6BuvQacPHdZ/rdizYbcUEcp+uSlrB1bNnF4327GTpzK1t2HGTpqHDu3ubHPY7s8zGrHxdz45yrT59qzdfdhunT/ixVL7bly6XyO9ImKiqRMmTJMmabcTeLKKLeNWz04fOqi/M8pmR1t37yJXds3M27yNDZt8cDYxJQxwwYQkUp/lJyoL33dyPGp93XR0VHYVKzMgGFj0kzD8+E97MYMpXqtOqxx3cFa1510/KM7Kqo/xVBPkAV+ipn31q1b07p161xPt2HjJgrPw0eOYd/uXTx8cJ+S1qVo1aadgv/YCVM4dGAfz549oWatOummXatuA2rVbZCqnyRJ7N21jZ59BtKwiWzGwW7WAn5t1Zizp47RoXMXANr/+oc8joVlIfoPGUH/P3+Xv/nXq1ePoIg41v39Vh4uICI2hbz4xETCouNTzcu70GgcL76SP/uHx+Jx148RDaxQzcJGcDdXF8zNzZk7/9uO9kKFCmc+gSwSGRGB3eSJzJozH5cN2ZtVqFarHtVq1UvV773PW554PWSl2x6KFi8JwOAxdvT59ReunDtJ83a/YlXCmilzl8rjWBQqwp8DhrN8wXQS4lMvb4D6DRpSv0HDNP3bdegoy4OvT5b0qVizvsJzx16DuXLyAK+eeGLZvASj5q5Q8O8yaBwOEwYQHPABYzNzXng/IOjjB+yWu6Ojmw+Av0ZNZcKfrXn64HaG8iMjI5gxdSLTZs7F1WW9gl9yWxozfgqHM2FLmbKjvt/saMqsBXRurWhHAM+fPmHPji2sd9/Fb22apJpeUpRVR5lh62Y3fv3tNzr/LrP/SXbTuHbtKrs9djJ6bPZeFoyMFL+cbHPfSKHCRahSrQYALVor1s/IcZM4emgfL549pXrN2tmSmRRl6JRR/w2goamJqalZatFzhDL0yUtZng/vU69RE+rUbwTIfl/OnjrOE29PhTCt2nakSrWaAHTo/AeHD+zhiZcnDRo1zbY+9Rs0on6DRtmOn1nywo62JrEjSZLYvWMrvfsNonHT5gBMn7OQ9s0bcubkMTr91iW1JOWk19cBNG/dHoAPX740pcY6pyX82qUH3f8aIHcrXNQqQ72+G1kZZAgUEK9jX0hISODUiWNERUVSsVLlFP5xcbEc2LcbPX19SqfyqSor+L33ITgokBq168rdNDU1qVy1Gp4P7qcaJyoqkhNHDmJhWYgCBc0BKFOmDC+DIhnbqBjOXWxZ1K4MTUuZpIhb3lwP5y62LO9UjkF1ipBfO/13Nl1NNaLiEkjMwvVdly6cp7yNLRPGjaJJwzp0/b0T+/buznwCWWTh/Lk0bNiI2nXqZhw4G8TFyV6CNDQ15W5qamqoq2vg9fBemvEiP39GVzcfaurf9704MSGBW5fPEhsdTYkyqS9bio74jIqKCjr5ZEt84uPiUEEFdQ0NeRh1DS1UVFV57v0gQ5kOC+dRr0EjatZOv07i4mI5uG83eno5s6WvdlS9lqIdVapSDc+H3+woOjqK+TMmMWrCVIxNTLMtLy+Ii43F28uTOnUVX8Tq1K3H/Xt3c0dGXCynjx+lbcfOqKRyVFtcXCyH9u9BT08f61LZ+6qlkF4e6JRW/3371g2aN65H5/atmD9nBsFBQTmWlRf6KFtWhUpVuXPzX969eQ3A86ePeXj/DrXrfXthrVC5Cn9fvkDAR38kSeLOrRu8e/uamnVSn/D4kfgedvTe14egoEBq1v5WPpqamlSuVp2H93O3XaRGSHAQ3p4PMDQyZuTAnvzWuhFjh/bh4b07SpedbVRUlf/3H+WnmHlXJs+fPaVvr+7Exsago6vLkuWrFNanXbl0gamTJxAdHYWpqRlr1m/C0MgoRzK//oAYGSsOtI2MTfD381NwO7h3F+tXORIdFUXRYsVZutoFjS+DKyMjI5obq3LM8yMHHvpjbapL35qFiU+QuPxS9rn7nu8nrr8OJTAiFjM9TbpWsWBmC2umHH1CfCqjcz0tNTpXNOfs06z9yPn4vGOPx056/tWXAQOH8OjhAxzs56OpoUn7jp2ylFZGnDh+DG9vL3Z47M3VdJNSuGgxzApasNVlNcPGT0NLW4fDu7cREhxISHBAqnE+hYWye6sLLdv/prR8ZYTv6xcsnTyYuNhYtHR0GGS3EIuixVOEi4uN4eCWdVRv2Fw+y168jA2a2toc3LyWjr2GIEkSBzevRUpM5FNIEIYm+dKUe/rkMZ489sJ9+540w1y5fIHpSWxpdQ5tKV07+vDNjtYsd8CmYmXq52C2MK8ICQ0hISEBExNFnUxMTAkMTL3dZZXLF87z+XM4bdp3UnD/+/JFZk+dQHR0NCamZixf65Ljvg6Uq1N6/Xfdeg34pXlLzC0see/ry/q1KxkysA/bdu1DM8lL+Y+kT17J+rN3fyI+h9Pzj/aoqqqRmJjAwKGj+KVlG3mY0ROm4rBgFr+1bYaamjqqqipMmj6HipWrZltuXvE97Cg4KBAAo2QyjY1NUl0nn9v4vZd9Bdy8cR1DRo2nZKmynDlxmIkjB7Bx+wGlyxfkLf/JwXtMTAwxMTEKbvFpLGOwKlaMHbv3Ex4ezvmzp5k9ww7nTVvkPwDVa9Rix+79hIaGcGDfHuwmjsV9mwfGJilnuLNK8lkvSSLFpQW/tGpL9Zp1CAoMwGP7ZuZMHc8ql63y+K+CItl1VzZQeR0cRWFDbZqXMZUP3v95HSpP611oNC+DIlnzmw1VC+fnxtswBVk6GqpMaVYSn9Bo9t5TfInIiMREifI2towaMw6AsuXK8+L5c/bs3pmrg/cPfn44LFrAemdXtLS0ci3d5KirazB57hJWO8ylZ/vGqKqqUalaTaqmscwmMuIz86eMoohVCbr2GaS0fGVEwUJFsXNyJ+pzOHf/uciWFQsYu2C1wgA+IT6eTUtnIUkS3YZ8u6xK38CIAZPmsWv9Ui4e3YuKiirVG/5CkZJl0l0z6f/BD0cHe1au25hunVSvUYttHjJbOrh/D3aTxuK2zQNj45zZUmqzx1/d/r58gbu3buCyNe2Xih+RlH2DlKqe2eHYoX3UqlsfU7MCCu5Va9TEbec+QkNDOXJgLzOnjMd5884UL0fZRRk6pdd/t2j1bSBqXao05W1saNfqF65evkjTX1rkSC4ot46ULev8mROcPnGUmfMXU6yENc+fPmaV42JMzArQup1sSdjeXdvwevgA+2WrMbew4N7d2zguno+JiRnVM1g2+qOgzDo6emgftevWxyyZHSXfV6PMdqEg58tkXLtf/6BVu18BKFWmHHdu/svJowcyudsnjxGXNGWb/+Tg3d7enjlz5ii4NWrUiEmphNXQ0KTIlzVh5W1s8fJ8yM7tW5k2UxZfR1eXIkWtKFLUigoVK/Nr+5YcOriPvv2zP0D7OvAPDgrEJMl6zNCQoBQDGT09ffT09Clc1IryFSrRvlk9rl48B0B4eDi+oYovJb5hMdSyMkxTdmhUPAERsZjnVxxkaaurYvdLSaLjEll24SUJWVgyA2BmZkbJkiUV3IqXKMHZs6eyllAGeHl5EhwURPcuneVuCQkJ3L51k107t3Pz7kPU1NRyRZZ1mfI4bdpFxOdw4uPjMTA0YuLQv7Auo3iqSFRkBHMmjUBbR5cp85ahrq6RRorKR11DgwIWsr0GVqXK8ebZYy4c3UOPYbLWnxAfz0aHGQT5+zF63kr5rPtXylepxdwNe/j8KRRVVTV09fSZ0rs9pgUsIC40VZneXp4EBwfRu8fvcreEhATu3rnFHo8dXL1xHzU1NXR0FG3pt/YtOXxgH32yaUtp2VFIcJB8wHn31g3e+76j3S+KS3lmTRlHhcpVsSlbOluylYWRoRFqamoEBgYquAcHB2GSC0t+Pvi959aN6yxYsiKFn46OLoWLWFG4iBW2FSrRrVNrjh7cT69+A3MkU5k6ZdR/J8XUrAAWlha8ffsmRzKVXUd5IWvtimX82XsAzVrIXnBKWpfmg58f29030rpdR2Kio3FZu4IFS1bI18WXLFWG508fs2ub+w8/eM8rO1qYxI6+LskLDgrE1CxJfxQSnGsvwOlhbCqTn/Q0uq/PHz/4UdDUUOl5EOQd/8kFQXZ2doSFhSn8NWiQ9kaQpEjSt/XOafnHxqbtnxksLAtjbGLKrX//kbvFxcVx785tbDI4hlKSJGK/5O/du3dYGGgrpp1fi4DPaedPT0sNk3yahEZ+G/TraKgyrbk18YkSDudfEJeVxe5fqFSlKq9fv1Jwe/PmNRYWhbKcVnrUql2bvQeP4LHvoPzPxsaWNu3a47HvYK4N3JOST08fA0Mj3vu85cUTL2rWayz3i4z4zOwJw1BX12DawuVoKvFrQPaQiP/SXr4O3D/6vWPUXCf08hukGUsvvyG6evo8eXCb8LCQFJthk1KjVh127j3ENo/98r9y5W1p1aYd2zz2p1knEjmzJbkd3VC0o/t3b2Pz5QjKHr37s2n7PjZu3SP/Axg2ZhKTZ8zLtmxloaGpSbnyNly/9reC+/Vr16hUuUqO0z92+ABGRsbUqZ/2ZtyvJO1rcoKydUpKev13aGgI/h8+KAysskNe6qMsWTEx0agm2yyopqpKoiQ7VSo+Pp74+HhUkq0ZVlVVk4f5kfkedmRZqDAmJqbc/Pea3C0uLpZ7t29RoVLutovUMLcohIlZAXzevlZw93n3hgIWlkqXny3Emvds81PMvH/+/Jnnz5/Ln1+9esW9e/cwNjamaNGURxpqaWml+HyvnsoGwjUrl1O3fgMKFrQgMjKCUyePc/vWDVaudSYqMhLXjRto2LgJpqZmhIWFssdjJx/9P/BL85YZ5jkyMhJfn2+nwHx478uzp4/Jn9+AguYW/N6tJ9vcN1K4iBWFihZlu5sL2tra/NKyLQDvfd9x4cwpqteqg6GRMYEf/dmxRbZUpHbdBrx77s3169fp29+WThUK8s/rEKxN89GslAku/7yTlYO6Kn9UNuffN6GERsZjpqdJt6oWhEfHc+NtKCCbcZ/W3BpNNVVWX3yNjoYaOl8mjj/FpH1iSnJ69upNn17d2ei8nhatWvPo4QP27d3NjFnpH5uYVfLl06NUKcXZUh1dXQwNDFO4Z0RUZCR+vu/kzx8/+PLy2RP08+fHrKAFf188Q34DI8wKmvPm5XM2rlpCzfqNqVKjzpf4EcyeMIyYmGimTJtPZESE/IjC/IZprxWOjIzg3dtvbcPX14cnj73Jb2CAhYUlYWGhfPDz4+PHjwC8fiV7KTIxNU335IxDW9djU7U2RqYFiY6K5NaVszx9dJcRs5aRkBCPy+JpvH3xlGEzHEhMTCQsRLZmPJ9efvkm1X/OHsO8iBV6+Q15+cSTvRudaNqhKwULW/EsDbn58uWjpHWyOtHRwcDAkJLWpYmKisTNZQMNktjS3t0yW2qWgS1FJbMjv/e+PH/6GP0kdrT9ix0VLlKUbe6KdmRsYprqJtWC5uZYWKZ9GpKy6igz9Ordl2lTJlHe1pZKlaqwb48Hfn5+/NE1Z+drJyYmcvzwAVq166jQH0ZFRbJlkzP1Gn2pn9BQDuzZRcBHf/kReDlFGTql139HRkbgvG4NTX9pjqlpAd6/92XtquUYGhrR5MtJID+aPnkpq279xmx1c6GguQXFSljz7Ik3Hju20KaDbLlFPj09KletzrqVy9DS1qKguSX379zi1PHDjBgzMUf6REZE8Dapbfn48NjbGwMDAywsc2+QqUw7Onb4AK2T2ZGKigpdevRii6sLhYvIvjBucXVGS1ub5q3aZphu8r7uQ7K+7lNYGB/9/QgKlPU5Xzcbf+3jVFRU6PpnHza7rKVEqTJYlyrL6eOHePvmFbMWOnJi/7Yc6S34sfgpBu+3bt2iSZNvx4KNGydbV927d2/c3d2znW5QUCAzp00mMCAAPT19SpUuzcq1ztSuU4+YmBhev3rJ0cMHCQ0NwcDQkPI2FXBx2yY/hiw9nnh7MnZoP/nzGqclALRs2wG7WQvo/lc/YmJiWO4wn/DwT5S3qcCSVRvQzSdbxqCpqcWDe7fZu2sr4Z8+YWRsQqUq1Vi9aav8E9z79+9ZduEl3ata8lslcwLCY9l805err0IASJQkihrq0LCEMfk01QiJisfzQzgrLr0mOl42e1LCRJdSZjKZKzvbKOgwYq8nmcW2QkUcnVazcoUjzuvXUKhQYSZOnkrbdh0ynUZe8/yJFzPGfluy4brGEYAmLdsz2m4OIUGBuK5xJCwkCCMTUxq3aEeXvwYmie/NU+9HAAz9s6NC2ht2Hk1TrtejRwzs11v+vMxhEQDtO3Zi7oJFXLpwnlnTv531O2WirL0PHjqcIcNHppnup9AQ3J3m8Sk4CO18+ShkZc2IWcsoV7kmQf5+PLhxFYCFY/ooxBszfxWlK8g2ofn7vuXQ1vVEfP6ESQELWv3Rm6YduqYpMzOoqqrx+vVLjo1XtCVn14xt6Ym3J2OHfbOjtUnsaMrMBXTrJbMjpy92VM6mAktWfrOj7KKsOsoMrVq3ISw0BOd1awkI+Ih1qdKsWe+MpWXOvmLd+vcf/D/40bZjZwV3VVU13rx+xYmjhwgLDSG/gSHlbGxZs3FLpi6XyQzK0Cm9/js6Oprnz55y7MghwsPDMTUzpXqNWix0cCRfDtuGsvTJS1ljJk5l4/pVOC6eT0hIMKamZnTo/Ad9BgyVh5m1YCnOa5yYN2MKnz6FYW5uycCho+j4W876A0/PRwzo+5f8eamD7HjhDh1/Zd7CRTlKOynKqqObadgRyDYCx8TEsGzRPNnvum1FnNa4ZKrNPfH2ZPzwb33duhWyvq5Fmw5MnrmAa1cusGT+t3sn5s+QvUT91X8ovQcOA+C3br2IjY1hnZMD4Z8+UaJUaRxWOGNZuEiOdFYaYs17tlGRJCnrayR+QubMmcO4yalfuJJbOC6WfYYfNMZOqXIAnJ1kHZ5XMeUOjsu/PgzApKmzlCrHYaFsjerkacqVs3iBTE6XQRMyCJlzdjvLzoCfOFW5l5EsWSj7ulG/63ClyrnqsQaAMZOUa0dODjI7Gjha+XbkskJmR3lVR3nVvoeNz9ptw1ll7bIFgPL1gW865VX/nVd1lFdyhoxN/dKf3GT98oXAf6/shivZjtZ8saP+o5Tf121aac+sWcq316yg03yx0mVEnUl5CeN/gZ9i5l0gEAgEAoFA8B/iP7wmXdmIkhMIBAKBQCAQCH4SxMy7QCAQCAQCgSBvEWves42YeRcIBAKBQCAQCH4SxMy7QCAQCAQCgSBvEWves40oOYFAIBAIBAKB4Cfh/+qoSIFAIBAIBIL/R364oyJbL1e6jKgTY5Uu43sgZt4FAoFAIBAIBIKfhP+rNe95dbHDBDvlXvgCsNRedunLomPhSpUzpa0+8N+7fOO/eHFJ10E5u7Y8IzycZTf+jZ+i3Pa9bJGsbXcfolx9AHaul+n0X2vfeVVHeXlJ06iJ05UqZ+WS+cB/ry1MzIPfoyX2eXsJ2X/NjvLqkqYfDrHmPduIkhMIBAKBQCAQCH4S/q9m3gUCgUAgEAgEPwDinPdsI2beBQKBQCAQCASCn4Qffubd3t6e/fv38/jxY3R0dKhbty6LFy+mTJkySpe9yWUDK50c+bPnX0yym5ajtFw3buD82TO8fvUSLW1tKlWqwqix4ylWvAQAcXFxrF21gr+vXMLH1wc9PT1q1a7LqDHjMCtQEABVFdBQk/07a9Ysdu3aBcduyWV0bGxL/851qFK2MKaG+aj1pyMPnr2X+xvl12HGoJY0q1WawgUNCQqN4MilR8xZf4pPEdHycJXLFGL+iLZUK18ETTUJb2/vTJXVuTOnefVFv8qVqzBm3AS5fsrAY+d23N02ERgQQEnrUkyaMpWq1apnO734+HjcXNZy5uQxgoMCMTExo3W7jvzVfzCqqrL33OCgQNavWs7Nf6/xOTycSlWqMXriVIoUtcq23N27drDbYyfvfX0BKGldisFDh1G/QaMspeN5/zYHdm3h+VMvQoICsZvnSO0GTeT+UZGRbHFeyb9XLxD+KYwC5pa0+60brTt2AcDf7z2DurdNNe1Jsx3SlOu6cQMXzn1p21raVKxchVFjxivU/azpUzh6+KBCPNsKldi83SNdnR7du83+XVt48cSL4KBApi5wpE4Sndo3rJJqvL5Dx9C5e2/CP4Wxw3Udd29eJ+CjP/kNDKndoDE9+w8jn55+urKTklt1lBlu37qJu+smvL0eERAQwPKVa2ja7JccpanMOsosuW2vLutXs2nDWgU3YxMTjp+9kiLsovmzOLhvD2MmTKHbn39lW2ZSclufvJR1+9ZNtrhvwsvLk8CAABydVtMkSRuLjIxg5fJlXDh/jrCwUCwtC9Htz1506do9N9TJs7LLbTmZsaOkLJg7k/17dzN+oh09evVON+0Hd2/hsc2dZ0+8CAoMYM5iJ+o3aib3v3LhLEcP7uHpYy8+hYWyYcserEuXTTUtSZKwGzuUm9f/TpHOD4VY855tfviSu3TpEsOHD+f69eucOXOG+Ph4WrRoQUREhFLlPnr4gL17PChdOndeEm7fukmXbj3YvN2Ddc6uxCfEM2zwAKIiIwGIjo7msbcXAwYPY4fHPpYuX8WbN68ZM3KYPA0VIFGC2PjUZejqaPLP/dfMWHMsVX8LUwMsTPNjt+Io1bsvY+BcD5rXKcv66V2ShMnPsdWDeeETSMO+K9m+fTtmZmZoZNBSbt28Qdfuf7J15242uLgRn5DAkIH9ifyiX25z8sRxHBbZM3DQUDz2HqRq1WoMGzwQv/fvM46cBju2bOLwvt2MnTiVrbsPM3TUOHZuc2Ofx3ZA1iFOmzia9+99WLh0JZu27aGghSXjhg8gKir7ehYoaM7osRPYsXsfO3bvo2at2oweMZznz59lKZ3o6CiKlSzN4NFTUvXftGYpd25cY+y0BazevJ8Of/yJ8woH/r16AQDTAgVx33dG4a973yFoa+tQtWa9NOXeuXWTP7r1wH2bB2udXUlIiGf4kG9t+yt16zXg1Pkr8r+VazdkSqfiJUszeEzqOm05cEbhb/SU2aioqFD3y49VcGAAQYEB9Bs2ltXuuxljN4c7/15j5eKsHR2bW3WUGaKiIilTpgxTpuXeZjll1lFmUIa9ApQoac2xM5fkf9t3H0oR5tKFs3g+fICZWYEcyUqKsvTJK1lRUVGULl2WKVNnpOq/1GER1/6+yoJFDuw/dIw/e/XGwX4+F86fy7bMr+RV2SlDTmbtCODC+bM8evgAswKZa3dRUVGULFWakeNTP0whOjoKm4qVGTBsTIZp7du1FRWxJOU/zQ8/837y5EmFZzc3NwoUKMDt27dp2LChUmRGRkRgN3kis+bMx2XDulxJc836jQrPc+bZ06xRXby8PKlWvQb6+vqsc3FVCDPZbjq9uv+Bn997LCwsSZAgISFtGTtP3AGgqIVRqv5eLz/QfcoW+fMr3yBmrzuB65weqKmpkpCQSOv65YiLT2CMwwEkSeL9+2iOHz/OkCFDiE+EtC4FWOe8SeF57nx7mjSog/cX/XKbrZvd+PW33+j8+x8ATLKbxrVrV9ntsZPRY8dnK03Ph/ep16gJderLZlMtLAtx9tRxnnh7AuDz9g2eD++zeddBipe0BmDc5Ol0bNmQc6eO067T79mS27hJU4XnkaPHsnvXTh7cv4e1dalMp1OtVn2q1aqfpv8Tzwc0bdWOClVkM08t2//GqSP7eP7Ei1r1m6CmpoaRialCnOtXLlC/aQt0dHXTTHd1srY9e649vzSui7eXJ1WT1L2GpiampmaZ1gegeu36VK+dtk4p8nv1IhWq1MDcsjAAViWsmTp/mdzfolAReg0cwbL500iIT+MtOBVyq44yQ/0GjXJ9Rl+ZdZQZlGGvAGpqapikk9+PH/1ZumgBK9Y6M27k0GzLSY6y9MkrWfUbNKR+g7R/Px/cv0e7Dp2oXqMWAL/90ZV9ezzw8nxEk6Y5m8XNq7JThpzM2tFHf38cFs5j9fqNjB4xOFNp16rbgFp1G6Tp37x1ewA+vPdNN50Xz56wd+cW1rrt4o+2TdIN+90RM+/Z5qcrubCwMACMjY2VJmPh/Lk0bNiI2nXqKk1G+GfZEY8GBgZphvkcHo6Kigr6+vmVlo/8etp8iogmISERAC1NdeLiE0h6d1f8l0GOahZe5D+Hy/TLn45+2SUuNhZvL0/q1FUc1NWpW4/79+5mO90Klapy5+a/vHvzGoDnTx/z8P4dateT/cjFxsUCoKmlKY+jpqaGuroGD3IgNykJCQmcOH6MqKhIKlVKfUlIdilXoTI3/r5EUMBHJEniwd2b+L57Q5Uaqbfz50+8ePX8Cb+06ZQlOZ8/p173t2/d4JdGdfm1fUvmzZ5BcFBQtvRIi5DgIG79c5XmbTulGy4iIhxd3XyoqWdv7kKZdZRX5GUdKcteAd69fUu75o34tW1zpk8ej6/PO7lfYmIic6ZPoWfvfpQomXsvWMrU53vKSkrlKlW5dPE8H/39kSSJmzeu8+bNa+rWS/tFOjPklT55JSc1O0pMTGTG1En06tOfkrn8Yp8R0dFRzJ8xiZETpmKcbGJD8N/ih595T4okSYwbN4769etja2urFBknjh/D29uLHR57lZI+yPRwXLKIylWrYV2qdKphYmJiWOm0jFZt2qGnp6eUfBgb6GLXrzmbDlyXu1289ZzFYzowtmdjVu+6gra2Nk2bNk0nlZRIksRSB3uqVK1GqTT0ywkhoSEkJCRgYmKi4G5iYkpgYEC20/2zd38iPofT84/2qKqqkZiYwMCho/ilZRsArIoVx9zCEuc1K5hgNxNtHV08tm8mOCiQoKDsywV49vQJvXp0IzY2Bl1dXZavXENJa+scpZmcgaMms2bpXPr90RI1NXVUVFUYMXEm5SumPgA9e/wgha2KU862cqZlyNt2FcW2Xa9+Q35p0QoLC0ve+/qwbs1KhgzowzaPfWhqaqaTYuY5f/IIOrq61G2Ydnv9FBaKx2YXWnXI+leSvKijvCCv60hZ9mpjW5GZ8+wpalWM4KBA3DZuYGCfHuzcewQDQ0O2um1ETU2NLt17ZltGaihLn+8tKymT7aYxd/YMWv7SCHV1dVRUVJg5Zz5VqlbLUbp5pU9eyEnLjtxdXVBTV6P7n71yRU5WWOvkgE2FytRLpw/8oRBLe7LNTzV4HzFiBA8ePODq1avphouJiSEmJkbBLT4Tn8g/+PnhsGgB651d0dLSylFe02PRgnk8e/oE1807UvWPi4vDbuI42aaT6cq5jEI/nxYHHPvj/cqfBS6n5e7eL/0ZOGcXi8a0Z+6w1oDEjRs3kNJaL5MK9vPn8uzpU9y3pq5fbpF8TZ8kSTla53f+zAlOnzjKzPmLKVbCmudPH7PKcTEmZgVo3a4j6uoazFu8nMXzZtK2WT3U1NSoVqN2up86M0uxYsXZve8g4eGfOHvmNDOmTmaT+7ZcHRwe3beTJ14PmbbQiQIFLfC8f4f1y+0xMjalcvXaCmFjYqK5fPYEXf4amCUZixfO49mzJ2xyV6z7Fq3ayP9vXao05WxsadeyGVcvX6TpLy2yr1QSzhw/ROPmrdFMw3YjIz4zd/IoihQrQfe+g7Kcfl7UUV7wveoot+21bv0kyz5KlaZCpcr81r4lx44cpGq1Gnjs3MrmHfuUtvY3t/X5UWQB7Ny+lYcP7uO0ai0WFoW4c/sm9vPnYGpqlitfpPNKH2XKSc2OvL0esWv7VrZ7KK/dpcW1yxe4d+sGG7bsyVO5gu/DTzN4HzlyJIcPH+by5csULlw43bD29vbMmaO4Ia1Ro4zXkHp5eRIcFET3Lp3lbgkJCdy+dZNdO7dz8+5D1NTUsqfAFxYvnMfli+fZ6L6NgubmKfzj4uKYMmEsvr4+bNjkrpRZdz1dLQ6vGMjnqBi6TnIn/suSma94nLqLx6m7FDDWY3BD2YxbnTp101zvnhT7BfO4ePE8rptT1y83MDI0Qk1NjcDAQAX34OAgTHLwqXDtimX82XsAzVrIBjElrUvzwc+P7e4bad2uIwBlytngumMfnz+HEx8Xh6GRMYP7dKdMOZvsK4RsrXFRK9mJNTa2FfB89JDt27Ywc/bcHKX7lZiYaLZtXIXdPEeq15G9bBQrWZqXz59w0GNrisH7tUtniYmJpknLdpmW4WAva9subhnXvZlZASwsLXn79k3WlUkFz/t38H37msmzF6XqHxkZwawJw9HW0WHafEfU1TWyLEPZdZQXfI86Upa9JkdHR5eS1qV59/YNqqqqhAQH06nNt/XZCQkJrHR0YNf2LRw8fjbbcvJKn7yW9ZXo6GhWrXDCccUqGjRsDEDpMmV48uQxWze75mjwnlf6KFtOWnZ09/ZtgoODaNvy28x3QkICy5ctZsf2zRw9eT7HstPi7u0bvPd9R4fmivUzx24cFSpVxaZc7n8FzzFizXu2+eEH75IkMXLkSA4cOMDFixcpXrx4hnHs7OwYN26cgtuSJUsyjFerdm32Hjyi4DZrmh3FSpSgb/+BORq4S5LE4oXzuHD+LC6uWyiUygvI14H727dvcN60GUPD1Dee5gT9fFocWTmQmNgEfh/vRkxaR9cAH4M/ExenT+XKlQHZSTdpIUkS9gvmcf7cGTa5b6Vw4SK5nPNvaGhqUq68Ddev/U2zX5rL3a9fu0bjHGymiomJRjXZwn41VVUSpcQUYfW+HDP47u0bnnh70n/IiGzLTQ1JkoiLjc219BLi44mPj0cluX5qakip6Hf22EFq1G2EgWHGe0skScLBXta2nTel3raTExoagv8Hv1zbHHn62EGsy5SjuHXK06EiIz4zc8IwNDQ0mW7vlObMfFbJ7TpSJt+zjpRlr8mJjY3l9auXVK5SjdZtO1CjVh0F/zHDBtKqbQfadfw1R3LySp+8lvWV+Ph44uPjUEk2sFJTVSUxMWVfkRXySh9lycnIjtq070DN2ortbsTQAbRp15EOOWx3GdH9r/606dBZwW3An50ZOnoSdRo04vjerUqVL8hbfvjB+/Dhw9mxYweHDh1CX1+fDx8+ALKNnjo6OqnG0dLSSrHsRT0Tm9Py5dNLsUZbR1cXQwPDHK/dXrRgLieOH2X5ijXo5ssnX3enp6ePtrY28fHxTBo3msfeXqxYs56ExAR5GAMDAzQ0ZDPgScdeRkZGVCxlScinSN75h2KUX4ciBY2wMJNtcC1tJfvR9Q8Oxz8oHD1dLY6uHISOtgZ9Z24mv542+fW0AQgI+Uzil9H5kD/qcf3Baz5HxVCjRkWaN29OfAZ99sJ5czhx/ChOq9aSTzcfgQFf9NOX6Zfb9Ordl2lTJlHe1pZKlaqwb48Hfn5+/NG1W7bTrFu/MVvdXChobkGxEtY8e+KNx44ttOnwrdO9cPYUhkZGFCxowYsXz1i1bBH1GzWlZu20j1LMiJVOjtRv0JCC5uZERkRw8sRxbt28wdoNGzOOnISoyEj8fL9t2PP/4MvLZ0/Qz58fs4IW2Faqhvs6JzQ1tSlgbsGje7e5cOoo/YYrvuj6+bzF88EdZi5alSm5ixbM5eSJozim0bYjIyPYsHY1zZq3wNTUjPfvfVmzcjmGhkYKZ0tnSic/mU56+fNToKAFIBuc/33xDP2T6QGyGfeZ44cREx3N+OkLiIqIIOrLMbP5s/BynFt1lBkiIyJ4+/at/NnXx4fH3t4YGBhgYWmZrTSVWUeZQRn2utLRgfoNm2BuYUFwcBBuGzcQEfGZNu07YmBoiIGhoUJ4NXV1TExNsSqW8QRQRihDn7yUFRkZwbukbczXhyePvclvYICFhSXVqtfAyXEJ2tpaWFgU4vatGxw9cohxE1M/svV765NXcjKyI0NDoxSTburq6piamGZ450lUZCS+Pt/q5MN7X54/fYx+fgMKmlvwKSyMj/5+BAV+BJAfrGBsYqrwl5wC5uZYWGb8sv5dEGves80PP3hft052VGPjxo0V3N3c3OjTp0/eZyib7PHYCcDAfooXhMyet5AOnTrz0f8Dly7KPql1+72TQhhn181Ur1ELVRXQ0fjW2Fu2bEnLli3ZevQmg+Z60LaBDS6zvnVMWxfKNszMdznNApfTVClbmJoVZJ/9vQ7YKcgo03EBb/1CAKhuU4Tpg1qgp6NFSHAgR48epXX79GcNdn/Rr38fxU06c+fb0/HXzqlFyRGtWrchLDQE53VrCQj4iHWp0qxZ74ylZaFspzlm4lQ2rl+F4+L5hIQEY2pqRofOf9BnwLcj5oICA1i93IGQ4CBMTM1o2aYDvQcMyZEuQUGBTJsyiYCAj+jp61O6dBnWbthInbpZeyF4/sSL6WO/rVF3XSM7IrFpy/aMtpvLhJmL2OKyCscFU/n86RNmBS3oOWA4rTr8oZDO2ROHMDYtQOUaijNIabF3t6zuByVr27PmLaRDx86oqqrx/PlTjh05RHh4OKZmZlSvURP7JcvJly/9ZWHPn3gxdfQ3nTat/qJTq/aMnSpbrnL53CkkCRo2a5Ui/osn3jzxeijLX/cOCn4bPVK/DyE1cquOMoOn5yMG9P1Wlksd7AHo0PFX5i1MfVlQRiizjjKDMuz1o78/M+0mEBoagpGRMTYVKrFp804scpBmZlGGPnkpy8vzEQP7fbs0aNkSWbtq36ETcxcsYtESR1Y5OTJ1ykQ+hYVhYWHJ8JFj+KNLzgfYeVV2ypCTkR3lhCfenowf3k/+vG6FbLVAizYdmDxzAdeuXGDJ/G/n8s+fMRGAv/oPpffAYQj+v/jhB+9SVnZKKoFN7rnzqenOw8fp+lsWKpxhmEQJImJl5bHUXjZwWXQsXO6/7dgttiW5cTU5V+68QKfmhAzzOmD2Lvn/p7SVLQ/JaPB+3/NJhunmNl27/0nX7n/mWnq6+fIxavwURo1Pe3bp9249+b1b7p5eMWfewlxJp0KV6hy6mPYxaEYmpoyekvHlRL0GjqTXwJGZlnv7QfrtVltbmzXrN6UbJi0qVKnOkcvpH+3WqsNvtOrwW7bjZ4bcqqPMUKNmrVy3J2XWUWbJbXudv3hZxoGSkJN17qmR2/rkpazqNWpxN53fG1NTM+bMt881ecnJq7LLbTkZ2VFqZHade+VqNTh3/WGa/q3adaJVu05Zkp1eej8EYs17thElJxAIBAKBQCAQ/CSIwbtAIBAIBAKBIG9RUVH+Xxa4fPky7du3x9LSEhUVFQ4ePKjgL0kSs2fPxtLSEh0dHRo3boynp6dCmJiYGEaOHImpqSn58uWjQ4cO+Pj4KIQJCQmhV69eGBgYYGBgQK9evQgNDc1SXsXgXSAQCAQCgUDwf01ERASVKlVi9erVqfo7ODjg6OjI6tWruXnzJubm5jRv3pzw8G/Ll8eMGcOBAwfYtWsXV69e5fPnz7Rr146EhAR5mB49enDv3j1OnjzJyZMnuXfvHr16Ze1Srx9+zbtAIBAIBAKB4L9FXl9klRGtW7emdevWqfpJkoSTkxPTpk2jc2fZ5uTNmzdTsGBBduzYweDBgwkLC2PTpk1s3bqVX36RndK1bds2ihQpwtmzZ2nZsiXe3t6cPHmS69evU6tWLQBcXFyoU6cOT548oUyZlMcdp4aYeRcIBAKBQCAQ/OeIiYnh06dPCn8xMTFZTufVq1d8+PCBFi2+3TatpaVFo0aNuHbtGgC3b98mLi5OIYylpSW2trbyMP/88w8GBgbygTtA7dq1MTAwkIfJDCrS9z7OJY9IfuOqQCAQCAQCwf8Ls2bN+t5ZUCDf725KlzHR9k2K8d+sWbOYPXt2uvFUVFQ4cOAAnTp1AuDatWvUq1cPX19fLJPctzFo0CDevHnDqVOn2LFjB3379k3xctCiRQuKFy/Ohg0bWLhwIe7u7jx9+lQhTOnSpenbty92dorHeKeFWDYjEAgEAoFAIPjPYWdnx7hxihf4Jb/EMyskX+ojSVKGy3+Sh0ktfGbSScr/1eB94tSZSk1/yULZ2eujJk5XqhyAlUvmA3BEraFS5bRPuAzA8PHTlCpnzbIFAEyeptyZgcULZG/gnfqlvI0ztzno6gjApKnK1clhoUynIWOnKlXO+uWys87HTZ6RQcic4bh4HgDdB09UqhyAnRtkF6FMtFNy3/DlXoa8at8jJijXXlcvzRt7hW86TVByHS3N4zrKKzn9R2VuJi8nbFopOxP+v1Z2g8Yot+ycnWTlNniMcvtugA1OeXdXRabJgyXvWlpaORqsf8Xc3ByADx8+YGFhIXf/+PEjBQsWlIeJjY0lJCQEIyMjhTB169aVh/H390+RfkBAgDydzCDWvAsEAoFAIBAI8hQVFRWl/+UWxYsXx9zcnDNnzsjdYmNjuXTpknxgXq1aNTQ0NBTC+Pn58ejRI3mYOnXqEBYWxo0bN+Rh/v33X8LCwuRhMsP/1cy7QCAQCAQCgUCQnM+fP/P8+XP586tXr7h37x7GxsYULVqUMWPGsHDhQkqVKkWpUqVYuHAhurq69OjRAwADAwP69+/P+PHjMTExwdjYmAkTJlChQgX56TPlypWjVatWDBw4kA0bNgCydfPt2rXL9EkzIAbvAoFAIBAIBII85kc7KvLWrVs0adJE/vx1rXzv3r1xd3dn0qRJREVFMWzYMEJCQqhVqxanT59GX19fHmf58uWoq6vTpUsXoqKiaNasGe7u7qipqcnDbN++nVGjRslPpenQoUOaZ8unhRi8CwQCgUAgEAj+r2ncuDHpHcCooqLC7Nmz0z2pRltbm1WrVrFq1ao0wxgbG7Nt27acZPXHH7yvW7eOdevW8fr1awBsbGyYOXNmmgfpZ5Xbt26yxW0TXl6eBAYE4LhiNU2a/SL3X79mFadOHufDhw9oaGhQrrwNI0aNoULFSlmS47J+NZs2rFVwMzYx4fjZK3L/s6dO4P9FTply5RkyYjS2FdKWM3r0aGYZGqZw333LB4eTz9DRUGNk0xI0KmOKgY4GfmHR7Lrhw7477+VhCxlpM6aZNZWLGKChrso/L4JZcuopwRFxGeoU8NGftSsduX7tCjHRMRSxssJu5jzKlrMBIDgokLUrHblx/Rqfw8OpXLUaYydNo0hRq8wUWYZ47NyOu9smAgMCKGldiklTplK1WvVMxT2ww40bVy/g++41mlpalC5fkZ4DR2JZpJg8zO7NG7h28TRBAf6oq2tQolQ5uvUbRqlytvIwcbGxbN3gxN8XThEbG4NtlRoMGDUFE7PMbzwB8Pf3Z4XjEv6+eoWYmGiKWhVj9twFlLexzThyGsTHx+PmspYzJ48RHBSIiYkZrdt15K/+g1FVlW13aVgj9fSHjhpH9179MiVn7+6d7N29C7/3vgCUKGnNgMHDqFe/IfFxcaxdvYK/r17G18cHPX09ataqw8jR4zErUCDDtB/dv83+nVt48dSL4KBAps53pE6DbzMj7RtVSTVe3yFj6Ny9NwAhQYG4rnPi3u3rREVGUKhIMbr07Ee9xs3TlHv71k22uCfpF5wU+wWAly9fsGL5Uu7cukliYiIlrUuxeOlyLCws00g18+SkbadFwEd/1qz4Yq8xMRQt+sVey8vstW5Vm1TjDR89nj97Z64tpMXtWzdxd92Et9cjAgICWL5yDU2TlWd20tzivgnvL3W0LFkdBQUGsnL5Uv75528+h4dTpVp1JttNp6hVsRzJ/Yoy6khZsh7cvYXHNneePfEiKDCAOYudqN+omdz/yoWzHD24h6ePvfgUFsqGLXuwLl1WIY1xQ/ty/+4tBbfGv7Rixvwlea5PXsm5f+cWu7a58/SxrNzmOTjRoPG3cpMkCXeXdRw9uJfw8E+Us6nAmInTKF7SWh4mNjaWdSuWcu70CWJjYqhaoxZjJk2jQEHzdGVHRkSwacMqrlw8R0hIMKVKl2Xk+CmUK18BgEY1U++7h4zMfN/9vfnRZt5/Jn74wXvhwoVZtGgR1tYyY9i8eTMdO3bk7t272Nik/mOTFaKioihdpiwdOnVmwthRKfytihVj8tQZFC5chJiYaLZt2cywQf05dPw0xsbGWZJVoqQ1q9Zvkj+rqn77jFLUqhjjJ0+j0Bc5O7dtYfSwgew9dBKjNOS4uLhwVv3bBoeSBfKx9s/KnPMOAGBcC2uqWxky85A370OjqV3CiMmtSxP4OZZLTwPR1lBlTY/KPPX/zJBt9wAY2rg4y7tUpI/bbdK7AODTpzCG9OtJ1eo1WbZyPUbGJvj6vENPT/b5SJIkpowfhbq6OosdV6GbTw+P7ZsZPbQ/2/ceRkdHN0tll5yTJ47jsMieaTNmUblKVfbu3sWwwQM5cPgYFpYZD568HtyhZcc/KFmmPAkJCexyXcv8ySNw3LQHbR0dACwLW9FvxCQKWhQiNjaGY/t2MH/ycFZtOUh+Q9lOcve1y7h9/Qqjpy1EP78BWzY4sWj6WBav3ZppXT6FhdGnV3dq1KzF6vUuGBsb4/PuHfr6+bNXOF/YsWUTh/ftZursBRQrYc0Tb0/s504nn54ef3SXXcV84MRFhTj/XrvC4vkzadQk7YFtcgoUMGfE6HEUKVIUgKNHDjF+9Ai2e+yjYEFzHj/2YsCgoZQqU5bwT2Esc7Bn3OhhbN25N8O0o6OiKG5dml/adMB+xoQU/lv2n1F4vv3v36x0mEPdJAMTxwXTiYj4zIyFTuQ3MOTS2RM4zJmCo2WRNOVGRUVRunTa/cK7d2/p91cPOnX+naHDRqKnp8+rVy/Q0sz5qQY5bdup8elTGIP7yuzVcdUXe333Dr0kn3uPnL6oEOefv69iP3cGjZtlvi2kRVRUJGXKlKHjr50ZP2ZkjtMDWdv4WkcTk9WRJEmMGz0cdXUNlq9cS758+di2xZ0hA/ux7+BRdHS/b/+T17KioqIoWao0rdp1Yrbd2BT+0dFR2FSsTMOmLXC0n51mOm07/kafQSPkz5rZOMUjr8ouN+RER8vKrXX7TsycnLLcdm5xZc/OLUyZOZ/CRa3Y6urMhJGD2LrnCLr58gGw2nEx165eZOYCBwwMDFnrtBS7cSNw3uKRrmyHBTN59eI502bbY2JWgDMnjjB++EA2exzCrEBB9h+/qBD+33+u4DB/Jo2a5txeBT8+P/zgvX379grPCxYsYN26dVy/fj1XBu/1GzSkfoO0j1ts3VZR/vhJUzi4fy/Pnj6hVu06WZKlpqaGialZqn4tW7dTeB4zfjJHDu7j+bMn1KiVupzIyEiC1GLlz72ti/IuOJLbb0IBqFgoP0cffJA/H7jrR+eqhShnoc+lp4FUKmKAhYE2f7rcJCI2AYA5Rx5zYUIDahQ34sarkDR12e6+iQIFzZk2e4HczcKykPz/796+wfPhfbbuPkSJL7MQ46fMoF3zBpw5eZwOv/6eZtqZYetmN3797Tc6//4HAJPspnHt2lV2e+xk9NjxGcaftkjxk9awibMY8HtzXj7zpnzFqgDUb9ZKIcxfQ8Zy/sQh3rx8RoWqNYn8/JnzJw8xcvJcKlaT3ZY2cso8hvZoy4M7N8gsbq4umJubM3e+vdytUKHCmY6fFp4P71OvURPq1G8EyOrn7KnjPPH2lIcxMTVViHP18gWqVKuJZeG0B7bJadi4icLz8JFj2Ld7Fw8f3Kdk51Ks3eCq4D9xynR6/9mFD37vMc9glrp67fpUr10/TX8jE8X8X//7IhWq1MDc8lv5PfZ6wNCxUyn95YtJ178GcmjPdl48804z3Yz6hdUrnajfoBFjxn07zrJwkcyXWXrktG2nxjb3TRQsaM70OanbK5Cib7py6TxVq9ekUBbaQlrUb9CI+g0a5TidpNRr0JB6adTR2zevefjgPnsOHKGkdSkA7KbP4pdGdTl54hi//vZHjmQro46UKatW3QbUqtsgTf/mrWW/cx++fD1LCy1tHYyT2VxWyauyU3a5SZLE3l3b6NlnIA2byL742M1awK+tGnP21DE6dO7C58/hHD+8n6lz7KleU/Y7Pm2uPV3aN+f2jetpyo2JjubyhbMsWLKSSlVlXwr6DhrO1UvnObTPgwFDR6Xou/++9KXvLpQ7/VBeIGbes89PdVRkQkICu3btIiIigjp1sjZwzg3i4mLZv8cDPX19Spcpm3GEZLx7+5Z2zRvxa9vmTJ88Hl+fd2nKObh/N3p6+pQqnTk56qoqtKlQkMP3P8jd7r0Lo2FpU8z0NQGoZmVIUWMd/nkZDICmmioSErEJifI4sfGJJCRKVC5ikK68q5cvULa8DdMnjaXtLw3o0+M3Du/f802HWNlLhaamptxNTU0NDXUNHty7kymd0iIuNhZvL0/q1FUc1NWpW4/79+5mK83IiM8A6KUx2x0fF8fZYwfQzaeHVcnSALx85k1CfDwVq9eWhzM2NaNosZI89XqQadmXLpynvI0tE8aNoknDOnT9vRP79u7Olh5JqVCpKndu/su7N68BeP70MQ/v36F2vdQHPMFBgfxz9TJtO3bOtsyEhAROnThGVFQkFStVTjXM58/hqKiopFnW2SUkOIhb/1yleZtOCu7lK1ThyoXThH8KIzExkcvnThIXF0uFytn7TJ+YmMjVyxcpalWMYYP707RRXXr16MKFc2dzrIMy2jbA1Usye502aSxtmjWgd/ffOJTEXpMTHBTItauXad8p+23hexL7tf9JMjOspqaGhoYm9+7czlHayqqj7y0rM5w7dYxfWzagX/dOrF+5lMiIiCzFzyt98kKO33sfgoMCqVH729dvTU1NKlethueD+wA89fYiPj5eYQLO1KwAxUtY4/nwXpppJyQkkJCQgGayL3maWto8vJ/y9zM4KJB//r5Mmw4/p70Kss4PP/MO8PDhQ+rUqUN0dDR6enocOHCA8uXL55n8yxcvMGXieKKjozA1M2O9s6vCAfyZwca2IjPn2VPUqhjBQYG4bdzAwD492Ln3CAZf1q1fvXyRGVPGEx0djampGSvXb8Qwk3IalzFFT1udI/f95G5LTj1jersynBhdj/iERBIlmH/sMfffhQHw0PcT0bGJjGxakjUXXqKiAqOalkRNVQVTPc20RAHw3teHg3s96Ppnb/7qNwgvz4csX2qPhqYmrdt1xKpYccwtLNmw2omJ02aho6PDrm2bCQoKJCgwIEtll5yQ0BASEhIwMTFRcDcxMSUwG2lLksTm9Y6Uta1M0eLWCn63r1/Baf5UYmOiMTQ2ZfriNeQ3MAQgNDgIdQ2NFINQAyNjQoMDKWCgkyn5Pj7v2OOxk55/9WXAwCE8evgAB/v5aGpo0r5jpyzr85U/e/cn4nM4Pf9oj6qqGomJCQwcOopfWrZJNfzJY4fRzacrn0XKCs+fPaVvr+7Exsago6vLkuWr5F9ckhITE8PqFY60at0OPT29LMtJj/Mnj6Cjq0vdhk0V3CfNWoTDnCn0aN8YNTV1tLS1mTrPEYtszlAFBwcRGRmJm6sLw0eMZvTYCfx99Qrjx47EedNmqteomW0dcrttf+W9rw8H9nrQ7Yu9ej96yPIl9mh+sdfkHD9yCF1d3Z/2E3yx4iWwsLRktZMj02bOQUdXh22b3QkMDCDgB+t/fhRZGdGsZVvMLQthbGLKq5fP2bR2BS+ePWHJKpdMp5FX+uSFnOCgIACMjBVlGBmb4O/n9yVMIBoaGujnV5wMMzIxITgoEH2d1H9ndfPlw6ZCJba4rseqeAmMjE04d/o43p4PKFwk5Z6xnPTd3xUx8Z5tforBe5kyZbh37x6hoaHs27eP3r17c+nSpTQH8DExMcTExCi4xcfHZ1t+jZq12LXvAKEhIezfu4dJE8awdcdujJN1DOlRt36S2c5SpalQqTK/tW/JsSMH6dGrDwDVatRky679hIWGcmj/HqZNGsemrbswNs5YTsfKllx7Hkzg52/LaLrVLEyFQgaM9XiAX1g0VYsaMrmVbM37jVchhEbGMXn/I+xal6FbzcIkShKnPT/i7RdOksn4VElMTKRseVuGjBgDQOmy5Xj14jkH9nrQul1H1DU0WLDECfu5M2jdpC5qampUr1mb2vXS/nSbVbJzTXFqbFrlwNuXz5nrtDGFn02l6izZsINPYaGcO36A5fPtWLjKHQOjtPc7SJIEWchHYqJEeRtbRo2RHUtVtlx5Xjx/zp7dO3M0eD9/5gSnTxxl5vzFFCthzfOnj1nluBgTswKpD9gOH6B5q3bZuo3OqlgxduzeT3h4OOfPnmb2DDucN21RGMDHx8UxdfJ4EhMTmTwt92/LPHPiEI1/aZ1iHe62jWv4HP6J+Y7ryW9gyPWrF1k8eyKLVrqmkVL6JCbKjKNx46b0/KsPAGXKluP+/bvs3bMrR4P3r+RW2/6K3F5HjgFk+X358jn793ik2haOHj5Ay9bZaws/AhoaGixxXMncWdNpXL8Wampq1Kxdh3r1c+9G6tyuox9FVlq07fRtqWPxkqUoXKQoQ/t04+ljryynlVf65IWclDLIsP+XnWiSfphpc+xZPG8mv7VtipqaGqXKlOOXlm14+iTlcr8TRw7wS8uf114FWeenWDajqamJtbU11atXx97enkqVKrFixYo0w9vb22NgYKDwd+XKlWzL19HVpWhRKypWqszseQtQU1PnwP6MN9ulm6aOLiWtS/Pu7RsFtyJFrbCtWIlps+ejpqbGkQP7MkzL3ECLmsWNOHTv26y7lroqw5uUwPHMc648C+L5xwh23/LljNdHetb+NuP478sQOq25TnPHv/ll2d/MPOSNmb4m70Oj0pVpYmpGseIlFdyKFS+B/4dveShbzobNO/dz6uJ1Dp26iONqZz6FhmKZbK1tVjEyNEJNTY3AwEAF9+DgIEyyuB7TdZUDt/+5zKyl61M9IUZbRwfzQkUoXb4CQyfMRE1NjfMnDgFgaGxCfFwcn8M/KcT5FBqCoVHmX+zMzMwoWVKxLIuXKIGf3/s0YmSOtSuW8WfvATRr0YaS1qVp2aYDf3T/i+3uKV9S7t+9zds3r2iXzSUzGhqaFClqRXkbW0aMHkfp0mXYuf3bpt34uDimTBzLe18f1mzYlOuz7p737+D79jUt2v2q4O7n+46jBzwYNXk2larVorh1Gbr3GYx1mfIcO5j+hrG0MDIyQl1dPcWXhRLFS/LBzy+NWJlMOxfbdlJMTM0oXiJ9e/3KvTu3efv6Fe1//S3b8n4EytvYsmvvQS5du8np81dYs34jYWGhWOZwP4my6uh7y8oqpcqUR11dHd93bzMdJ6/0yQs5XyfvgoMUZYSGBMkn3IxNTImLiyP8U5himODgDCf/ChUuysoN7py8dIM9R86ywX0X8fHxKfaq5LTv/p78TDes/mj8FIP35EiSlGJmPSl2dnaEhYUp/DVokHszvkiSfE13domNjeX1q5eYprGB9YsgYuMyltOhkgUhEbFcfRYkd1NXVUFDTTXFmaWJkoRqKg06LCqOzzHxVC9miHE+TS4/DUwRJikVK1Xh7ZtXCm5v375OdQOinr4+RkbGvHv7hsfentRv1DRFmKygoalJufI2XL/2t4L79WvXqFQ59aMDkyNJEptWLebfqxeYuWQdBSwy90IhSRJxX+qkRKlyqKmr8+D2v3L/kKBA3r5+QenyFTOpDVSqUpXXrxXL8s2b11hkMk9pERMTjaqqYl2rqaqSKKX8rHLs0H7KlCuf4ni47CJJyMvp68D97ds3rN3giqFh1pacZYbTxw9iXaYcxa0Vb6iLiY4GSNHmVVXVkBLTO08pbTQ0NClvY8ubVOssZ6dl5EbbTo2KlavwNll+371J3V6PHtpH2XI2md5v86Ojr6+PkbExb9+8xsvzEY2bfv/+50eUlVVev3xOfHx8io2T6ZFX+uSFHAvLwhibmHLr33/kbnFxcdy7cxubL0dJly4ne8FJGiYoMIBXL59jU6FypuTo6OhiYmpG+Kcwbl6/Rr1kywKPH95PmbK513cLfg5++GUzU6dOpXXr1hQpUoTw8HB27drFxYsXOXnyZJpxtLS0Unw+UldPXdXIyAjevf02c+Dr68OTx97kNzDA0MCQjc7radSkKaZmZoSFhrJ71078/T/QvGWrVNNLi5WODtRv2ARzCwuCg4Nw27iBiIjPtGnfkaioSNw3bqBBo6aYmJoSFhbGvt07+ejvT7PmLdNNVwVoX8mCow8+kJBkoB4Rm8DtNyGMblaSmPhE+bKZNhXMWX7m2/W/7SuZ8yowkpDIWCoWMmB8i1Ls+Pcdb4LTn3nv+udfDO7bk82uzjRr3hKvRw85vH8vk6bNloc5f+YUhkZGFDS34OXzZzgttadB46bUqlMvS2WXGr1692XalEmUt7WlUqUq7NvjgZ+fH3907Zap+JtWLubq+ZNMmrsMHV1dQoNlLyu6+fTQ1NImOiqK/TtcqV6nIUYmpoR/CuP04T0EB3ykTiPZukJdPT2aturI1g1O6Oc3QE8/P1udV1C0uDUVq9bk9cN/0suCnJ69etOnV3c2Oq+nRavWPHr4gH17dzNj1tzsFc4X6tZvzFY3FwqaW1CshDXPnnjjsWMLbToozk5HfP7MxXOnGT4m5VGMmWHNyuXUrd+AggUtiIyM4NTJ49y+dYOVa52Jj49n0oQxPPH2YvmqdSQkJsjXnBoYGKChkf7eiqjISPx8v23s9vfz5eWzJ+jlz0+BghaAbLPx3xfP0H/YuBTxC1sVw6JQEdYsm0+/YePQz2/A9asXuHfrOjMXreDZ/dRPfEivX7CwsKR33/5MnjCOqtWqU71mLa5dvcLlSxdwcd2S5fJLTk7bdmrI7XXTF3v1fMih/XuZPH22QriIz585f+Y0I5OcopMbREZE8DZpefr48NjbGwMDg2wfD5hRHZ05dRIjYyPMzS15/uwpSxYvoHHTZik2MWYHZdSRMmVFRUbi6/OtrD689+X508fo5zegoLkFn8LC+OjvR1DgRwD5JndjE1OMTUx57/OOs6eOUqtuQwwMDHnz+gXrVyzFunQ5bCpW4eaVM6mJVZo+eSUnMpVye/b0Mfm/lNvv3XqyzX0jhYtYUahoUba7uaCtrc0vLdsCoKenT5sOnVm7Yin5DQzJb2DAuhXLKF6yFNVq1ubev5fTlH3jn7+RkChatBg+Pm9Zv3IZRayK0aZ9J3mYr333sNHZ67u/N//lmXFl88MP3v39/enVqxd+fn4YGBhQsWJFTp48SfPmubORyuvRIwb26y1/XuawCID2HTsxbeYcXr96xZHDowgNCcHA0BAb2wq4bt4uP34ss3z092em3QRCQ0MwMjLGpkIlNm3eiYVlIWJiYnj9+hXHj4wmNDQEAwNDytnYst51KyVKpi+nZgkjLAy0OXw/5efvqfu9GN60BPM6lie/jjofwqJZd/GVwiVNVsa6DG9SAgMdDd6HRuP29xu2/5v6KThJKWdTAfulK1i/2gl3l3VYWBZm9PjJtGzz7cjLoMAAVi13kF0QZGpGq7Yd6DtwSBZKLW1atW5DWGgIzuvWEhDwEetSpVmz3jnTS3JOH5Ete5o9frCC+7CJs2jcsj2qaqq8f/eaZaePEv4pFP38BpQsXZ45y10oUuzb8oPew8ahpqbG8nl2xMZGY1ulJpPnzUI1yVXIGWFboSKOTqtZucIR5/VrKFSoMBMnT6Vtuw6ZTiM1xkycysb1q3BcPJ+QkGBMTc3o0PkP+gwYqhDu3OkTSJJEszQ2smZEUFAgM6dNJjAg4MsJSaVZudaZ2nXq8d7Xl8sXzwPQo4viS8P6jRlv7nz+xIupYwbKnzetWQZA01btGWsne7m5fO4UkgQNm6V8oVZX12C2wyrcN6xknt1ooqIisShUhDF2c6leu0Gag3cvz2T9wpIv/UKHTsxdsIimzZozbeZsXDc647BoAVbFirPEcSVVqlbLqLgyJKdtOzXK21Rg0dIVrFvthNtXe52gaK8AZ04dR0KieTbbQlp4ej5iQN+/5M9LHWTHonbo+CvzFi7KVppeno8YlKSOHJPU0ZwFiwgM/IjjkkUEBQVhamZGu/YdGThkaFrJZQll1JEyZT3x9mT88G8X96xbIbtYqUWbDkyeuYBrVy6wZP4Muf/8GbKXt7/6D6X3wGGoa2hw99a/7PfYTnRUJGYFzalVtyF/9R+qcO17XumTV3KeeHsydui3clvjJCu3lm07YDdrAd3/6kdMTAzLHeYTHv6J8jYVWLJqg/yMd4DhYyehpqbGnKkTiPlySZP9rNUZltvnz+G4rHUi4KM/+vkNaNS0OQOGjkJdXUMe5tyZnPXdgp8XFSm9u2D/Q8yZM4eJU3N/k1xSliyUDSZGTZyuVDkAK5fMB+CIWu5twEqN9gmymYHh46cpVc6aZbLzpydPm6VUOYsXzAGgU7+Us7S5zUFXRwAmTVWuTg4LZToNGTtVqXLWL18IwLjJMzIImTMcF88DoPvg3J39TY2dG2Q/xhPtlNw32Mv6hrxq3yMmKNdeVy/NG3uFbzpNUHIdLc3jOsorOf1H2SlVDsCmlbKXsf9a2Q0ao9yyc3aSldvgMcrtuwE2OC1k1izl22tWMO61Q+kygrf2ULqM78FPueZdIBAIBAKBQCD4f+SHXzYjEAgEAoFAIPhvIda8Zx8x8y4QCAQCgUAgEPwkiJl3gUAgEAgEAkHeIibes42YeRcIBAKBQCAQCH4S/q9OmxEIBAKBQCD4f+RHO23GtM8upcsIdM/9uxd+BMTMu0AgEAgEAoFA8JPwf7XmPa/O21b2efLw7Uz5RbcLKFXOlGqyG/fy6lxdZZ+R//V8/L4jpyhVDoDbKtmlMWOVfC768i/noitbp6/65NV52+16j1WqHICjm5cDeXd2fV7Z0cgJyrWjVUtldpSX57yPnqRcnVY45I1OeX1WubLvMIC8v8fgv1J2X8tt3BTl9j8AjovmKV1GVhGnzWQfMfMuEAgEAoFAIBD8JPxfzbwLBAKBQCAQCL4/YuY9+4iZd4FAIBAIBAKB4Cfhp5t5t7e3Z+rUqYwePRonJ6dcT791i6b4vfdN4d6lWw+mTs/+Orvbt26yxW0TXl6eBAYE4LhiNU2a/SL3P3fmNPv2eODt5UloaCi79h6gTNlyCmmoqoCGKqioyHaN79q1C26HKISZ1r06/VuUx1BPi5tP/Rmz/gre72RhjPS0mNGjBs0qF6GwWT6CPkVz5Por5my/yafIWHkaj13+xKpgfoV04xNlfxnhsXM77m6bCAwIoKR1KSZNmUrVatWzWlxyXNavZtOGtQpuxiYmHD97BQBJkti4YQ2H9u0hPPwT5W0rMtFuOiVKlsow7Qd3b7FnuztPn3gTHBjA7EVO1GvUVO6/ZeNaLp45ScDHD6hraFCqTHn6DhlJOZuK8jCxsbE4r1rGhTMniI2JpnL1WoyaOA2zAuaZ0s9tkzNrVy6n25+9GD9pqlwnl/VrOLBvN+GfPmFToSKT7GZQ0jp9ndLTJz4+DrcNq7lx7Qof3vugq6dP1eq16D9sDKZm3/ZNBAcF4rzakTs3/iEqMoLCRYvRvfcAGjZtkaZc140bOH/2DK9fvURLW5tKlaowaux4ihUvIQ9z7qysfT/+0r537knZvpNzaJcbN/++wPt3b9DU1KJU+Yp07z8CyyLF5GHWL53N5TPHFOJZl7Vl7go3+fO8/7F3nlFRJFsA/pCcJCOgAibMWcw565pd15xzjqhgRhRFRcyKIpgFs2vOWVfFDJgjCEoWyWHej9GBAYY8rO7r75w5Z7qq+t6+XdXV1berbtuMxu/JA6ky9Zu1YZLdUpm6D3rt46DXfklfULpMWUaMHkejxk0B2LJpPefOnOJLUBDKyspUrFSJcROmUKVa9SxtyikFfR0BfP36hY1rVnH71nXi4+MxN7fAbr4DFSpVBuDKxfMcPeTF8+c+REZEsGPfIazKZ11HuUEeNqXFw82VTetc6N1vINNm2gJQr0alTMtOmDKdgUOG50ufvO2Rpy7v+/fY6ZHmfuQifT+KiYlm7epVXL50kcjICMzMitOn/0D+6t0337Z437+Hx3Y3/HyfERwczOq1G2iZRndBIo86yu7czZ8zm7+PH5Xap2q16uzc45krPQc9ZfRBTcR9kEgkwnWT9H1ill3294lfCsHxnmd+K8/7vXv3cHV1pVq1atkXziN79h/kwpUbkt/mreJBQJu27fMlNzY2FqvyFZhtl/nClNjYWKrXrMXEKdOzlJMigsTkzPOm96jBpK7Vmep6ncbTD/ElPIaT9p3RUlcGwFRfE1N9TWzdb1Fnohcj11ymTS1zNk9snkHWoj13sRzkwcqVK1m5cmWOBu5nTp/CaZkjI0eNxfPgUWrVqs240SMJ/Pw5+52zoHSZspw8f1Xy2+N1TJK3y8ONfbt3MH32XLbv9sLAwJBJY0YQHR2drdy4uFhKlyvPhOm2meaXKGnBhOl2uO4+zOrNOyhmasbsyWOICA+TlNnkspybVy8yx96J1Zt3EBcbw9wZE0lOllFJafB59pSjB70oZ1VeKn2n+zb27vLAZvZcPPaIbZowZni2NmVlT3xcHK9f+DFg6Gg2eniywNEZ/08fmD9zklS55Yvs8P/wHnuntbjuPkzj5q1ZMm8mr1/4ydTrff8ef/Xpx449nmxy3U5SchLjRo8gNiZGUiY2NpYaNbJv32nxe/KANp17Ye+yHVvH9aQkJ7PMbiJxcbFS5arXacDGfaclv5mLXTLIatGhm1SZEZPtstRtbGzChMnT2Ln3ADv3HqBO3fpMnzyBN69fAWBhYclM27nsP3SMbR67MTUrzvixIwgPC8tSbk6Qx3X07Vsko4f2R0lJCed1W9h38G8mTp2Jlra2pExsbCxVa9Rk3MRp+bYhPfLqG37i++wpRw8doGy6a+nUhatSv7kLHVBQUKBla9kPozlB3vbIW1dsbCxWVrLvRyudlnHr5g2WLHPi8LGT9B84GCdHBy5fuphnnam6Yyhfvjyz58h3Mai86ii7cwfQsFETzl++Lvmt27gl13qMi5kwYco0du47wM59GfugHT/uEzNt57JjrxcGhoaMH539fULgv8Fv43n//v07/fv3Z+vWrTg4OMhNj76+vtT29m2ulCxpTh3ruvmS27hJUxr/eGLOjE5dugLwOcBfZpkUkfgni/FdquHk5c2x2+8AGOFyiQ87h9C7aTnczvri+zGMvsvOSsq/C/rGwt3/sH1aaxSLKJCcRvj32ES+RMTmqiPYtcOd7j170uPPXgDMtJ3DrVs38PLcx+SpOR+0pUdRUREDQ6MM6SKRCM+9OxkyfDQtWrUBYP5iRzq2asK50yfo/mfvLOXWbdCEug2ayMxv2e4Pqe0xk2048/cR3r5+SS3r+kR/j+LM30eYtWApterWB2DWAkf6d2vLg3t3stQdExPNfFsb7BbYs33rZimb9u3ZydARoyUDjIUOy2jXsjFnT52gRy/ZNmVlj6aWNsvXukqlTZhmy4Th/fgaFIixiSkAvs8eM8lmLhUqVwWg/9BRHNq/i1dZDN43bN4mtb1osSOtmjXE19eH2nWsAejUOfv2nZ7ZS9dJbY+ePp8xvdvy7pUfFavWkqQrKaugq2+YpSxVVbVsy6SlafMWUtvjJ07hkNd+nj55TJmy5WjfsZNU/tQZszl25BCvXr2gbr0GOdaTGfK4jnZ7uFGsmAlzF6W+bTA1Ky5VpkOnLgCZvnnML/LqG+DHtWQ3E7v5i3DfKj1ISt9vXLtyidrWdSleomS+dMrTnsLQld396MnjR3Tq0o061vUA6NmrN4cOeOLr84wWLVvlSWeq7mY0btIsXzJygrzqKLtzB6CiooJhJves3JChD5qU2geVLlOWfbt3MnRk6n1ikcMy2rZozJlTJ+iZxX3iV0KY8553fhvP+/jx4/njjz9o3Vo+r9cyIzExgVMnjtO1e89fvpFZFtPGVF+TC49SB0cJSSlc9/lM/Yqyp3AU1VDlW0yC1MAdYFqPGvjvHsro0aNp0kT2APcniQkJ+Pn60KBhY6n0Bg0b8fjRw1xaI82njx/p1KYZ3f9ow9xZ0wnw/wSIB4KhISHUa9BQUlZFRYWatevw9PGjfOlMT2JiIqeOHkRTS5sy5cTevZfPfUlKSqJ23VT9hkbGWJYui+/TrPU7LV1Mo6bNqFe/oVR6wA+b6jdoJElTUVGhVm1rnjzO33lMT/T37ygoKKCZxvtapVpNrl44y7fISFJSUrh8/jSJiQlUr2WdY7lR36MA0NHRKdDjjYn+DoCWtvSULr8n3oz5qy3ThvVk62oHIiMyer9vXj7DqF6tsRn5F3tcXYiNyflDaXJyMmdPnyQ2NoZq1WtkyE9MTODIIS+0tLWxsqqQO6PSy5LTdXT96iUqVKqC3cwpdGzVmEF9e3Ds8IF8HWtOkWffALBiqQONmjSjbrprKT2hoSHcvHGNLt165kufvO35t3SlpUbNWly9comvX74gEom4d/cOHz68p2Gjxtnv/Avwb523n9y/f5eWzRrStVM77BfOIyw0NF/y0vdBWd4nCsE+gX+f38Lzvn//fh48eMC9e/cKVe+lixeIioqiS7fuhao3L5joaQDwNSJGKv1rRCzmRlqZ7qOvrYpt79q4nfGVSt/w91MevgkmIjqeea3VadWqFUpFsp7zHh4RTnJyMgYGBlLpBgaGhIQE58EiMZWrVGP+YkfMLSwJCw3BfdsWRg7px76DfxMaEiK2I51HVd/AkKDAgnl9fefGVZbMn0l8XBz6BkYsX7MFHV09AMJDQ1BWVka7qPRgUlffgPDQUHQ0VTKVee70SZ77+bJjb8bBk8Qmg/Q2GRBUgK/kE+Lj2bbJhZZtO6Kpmdo+5jqswGGuDT3bN0FRUQlVNTUWLnPBLIeeSpFIhPOKZdSoVZuy5awK7HhFIhG7XVdTvnINSlqWlaRXr9OQek1aY1jMhK9Bnzm4YzNLZo5lyfpdKKuIz3+jFu0xMjFDV9+AT+/f4rl9Ax/evsJu2YYsdb5+9ZKhA/uSkBCPuoYGK1avo3SZVN3Xr17GbtYM4uJiMTQ0YsNmN3T19PJlp7yuo88B/hw5uJ8+/QczeNgofJ89xXnFUpRVVOjYqWu+jjk75GUTwLkzp3jx3Bf3PV7Zlj11/BiaGho0//GWLq/I055/U1daZtnOwX7hPNq1boaSkhIKCgrMX+RAzVq15aazIPm3zhtAoyZNadOuPaamZgQE+LNx/VpGjRjCXs9DqKhkfk+QxeuX6fogF3Ef9PMBxCDdfcLAwIDAArr3FQa/ulP0V+aXH7x/+vSJyZMnc+7cOdTU1HK0T3x8PPHx8VJpSUlJudZ99PAhGjVuirFxsVzv+28hSjetRgHIbKaNtroyR+b/gd+ncJbsvy+Vt+74E8n/hw+/EhcXx19//ZWjee/pL0aRSJSvC7Rh4zSvJ8tZUbV6DXp2bsfJv49SpWp1uehMS/Xa1mzecYDIyHBOHzuMw9wZrN22Bz19A9k7iUTiVcWZEBQUyConR9Zt3oaqqqpMEel3F2UhM7ckJSWyZP5MRCkpTLSZI5XnvmU936O+sXytKzq6ety6donFc2awepO7DGnSLFuymFcvX7B9x94COdafeGxw4uO71yxYtVUqvUHz1LnLJS3LUrpcJSYN6szDuzeo21i8WLdlx+5SZUyKl2TuhEG8e/U8S50Wlpbs9TpMVFQUly6cY+E8W1zddkoG8HWs67HX6zAREeEcOXQAW5upeOz2RN8gi7aRQwq6TaekpFChUhXGThR/+Kp8hUq8e/uaIwf2y33w/pOCtulLUCDOTo6s3bQ1y2vpJ38fO0y7jp1yVDYnyLPf+Td1Aezbs4unTx7jsm4jpqbFeeB9D0eHRRgaGlG/QdZvOH4lCvu8AbRr31Hyv2w5KypVrkLHtq24fu0KrXK51sKilCV7D6Tpg+ba4rp9pyQ/s/uEgrAK9P+CX37ajLe3N1+/fqV27dooKSmhpKTE1atXWbt2LUpKSpkuDHR0dERHR0fqd/369Vzp/fw5gH/u3KJ7zz8LyhS5EhQu9rgX++GB/4mRrjpfI6QX+GmpK3N8YSe+xybSe+kZkpKzHpX7+4un4mTVJejp6qGoqEjID8/xT8LCQjN4B/KDuroGZcpa8enjBwwMxXJDQ6U9KeFhoehnNbjOpb7iJc2pVKU60+csooiiEmf+PgKAnoEhiYmJRH37JrVPRHgYeunWTvzkua8PYWGhDOr7J/VrVaF+rSo8uH8Pz727qV+risRTFJruPIaHhWXwIuWFpKREHObYEPQ5gOVrXaW87p/9P3Hs4D6mz7GnlnV9ypQrz8DhY7GqUIljh7KPlLB86WKuXbmEq9tOipnkLNpOTvDYsALv29eY67QJA6OsH6T1DAwxNDYlKOCTzDKlylZAUUmJoICPWcpSVlahpLkFlSpXYcLkaVhZlWffnl2SfHUNDUqaW1C1Wg3mL1qCopIix44eyp1x6Y9fTteRoaERpUqXkUqzLFWGoKDAPMvMKfKy6bmvD+FhoQzp14uGtavSsHZVHnjfw2vfbhrWrip1b3j44D4f3r+jS/f89+eF1dcVtq6fxMXFsW6NC9NtZtOseUusypenT78BtG3fkV07tstFZ0Hzb5w3WRgZGWNqZsbHDx9yva+sPujnvS+jfWEF4jwoLBQUFOT++6/yyw/eW7VqxdOnT3n06JHkV6dOHfr378+jR49QVFTMsI+trS2RkZFSv5zM207LsSOH0dc3oEnT5gVkiXx5/yWKwLBoWtUoIUlTVipCk8pm3PELkqRpqytzYlEnEpKS+dPhNPGyQtekweTHQCyLtbIoq6hQsVJl7ty6KZV+59YtqteomTtjsiAhIYH3795iaGiEWfESGBgacvfObUl+YmICD73vUzWTuckFgkhEYqI4rKZVhUooKSnx4G6q/tCQYN6/fU2lqpnrt67XgH0Hj7Hb87DkV7FyFdp37MRuz8MUL1ESA0ND/rlzS8qmB973qFY9f+fx58A9wP8Dy9e6UlRHVyo//kcUF4Ui0t1CEUVFRCLZD3gikYhlS+y5dPE8W9w8KF6ihMyyuUEkEuG+3ol7Ny8zx2kTxibFs90n6lsEYcFfslyc6v/hDclJSejm8iYuEiGpe1n5CQmy83OCvK6jqjVq8fH9O6m0jx/eY2JqlmeZOUVeNtWp14C9B4+xy/Ow5FexUhXadezELs/DUveGv48cpkKlyliVz9+aBCi8vq6wdf0kKSmJpKREFBSk+wHFIkVIScnB69dfgH/jvMkiIiKcL0GBGBrlbwEr/OiDEhIo/uPe98/tTO4ThWyfwL/DLz9tRltbmypVqkilaWpqYmBgkCH9J6qqqhlejSop5dzUlJQUjh89TOeu3XK1X1bExETz6WOqpy8gwJ8Xz/0oqqODqakZkZERBAUG8vXrVwDevxPfaA0MDaVWrad9jtTT06NaqSKER8XzKeQ7G44/webPWrz+HMnrz5HM7FWL2PgkPK+JQ0tpqStzwr4z6qpKDHW+SFENZYpqiMNIBn+LIyVFRL3yxahbvhhXnwYQGZNApUqGtGvXjmyc8wAMHDyUObNnUqlKFapXr8mhA54EBgbSq3efPJ+3tc5ONG7aAhNTU8LCQnHftoXo6O907NwVBQUFevcbxA43V0qaW1DS3IIdbq6oqanRtkOnbGXHxsQQ4J9aJ0GfA3j98jlFi+qgraPDXo+tNGjSHAMDI759i+D4IU+Cg79IYp5ramnTvnN3tqxbibaODkWL6rBl3Sosy5SjlnV9nt3L+LZHU1Mzw1xwdXV1dHR1Jel9+w/CPY1NHj9satcxa5uyssfA0Ah7u+m8fuHH4pXrSUlJISxU7LXRLqqDsrIyJS1LYVbCnDXL7Rk1YTpFdXS5ee0SD+7eZvHK9fh638xU77Il9pw+dYLVazagoakpmVOqpaUtmer2s30H/2zf7zNv32lxX7+cW5fPMn3hStTVNYgIEx+vhqYWKqpqxMXGcGiXK9aNW6Knb0jwl0A83TegraOLdaPmAHz57M/NS6epUbcR2kV18f/4jj2uLliWLU/5StV58+Bqpro3rF1Nw8ZNKFbMlJiYaM6eOYX3/bus3ehKbEwM27dtoWnzFhgaGhEZGcEBz318/RJE6zbtsqyjnCCP66hP/0GMGtofD7cttGrTHl+fpxw7fIDZcxdKykRGRvAlKJCQYHEdfXz/HhDPq80s2lNukIdNmpqaGWJaq6uro6OjK5X+/ft3Lp4/y+TpNnnWlR552FOYurK7H9WuY42L8wrU1FQxNS2O9/27nPj7GNNsZufbnpjoaD6m1e3vz3M/P3R0dDA1K7iHSXnVUVbnTkdHh80b19OqdVuMjIz4/DmAdWtWo6url+tY9hvW/OiDTEyJiU7TB21yRUFBgb4DxPcJcwvxfcJ9m/g+kT4S1q/Mf9kzLm9++cH7v8Gd27cIDPxMt+75i0qQFt9nzxg5bLBke5XTMgA6d+2G/ZJlXL18iQVzU2NPz7YRx1oePXY8Y8ZPBMQfaVJTSm3s7dq1o1072HXxOaPWXGbV4UeoqSrhMqYJelqq3Hv5lU4LTvA9NhGAmmWMqFtePO3A17W/1PGVH7Gbj1+jiE9M5s8mZbHrUwdVZUWioyJ48OAB9Rs3z9bG9h06EhkRjuumjQQHf6VsOSs2bHbFzCx7j6ksvn75wnzbGUREhKOnp0/lqtVx27FPEuZu4JDhxMfHscLRXvyhiirVWLNpG5qamtnKfvnchxnjUz/UsnntCgDadOzClJnz+PThPedPTedbZDjaOrqUr1iZ1Zs8sCydumhx7OSZKCoq4TDXhoT4eGrWqYvNPIdM3wjllEFDRxAfH8/ypfaSj2+sy4FNWdkzaMRYbl+/AsCYQb2k9lu5wY3qtaxRUlJmifMG3Da6MM9mInGxMZiVMMdmngP1GjaROXg/4LkPgJHDBkmlL1y8lC7degBw9fIlFs5Lbd+2P9r3qLHjGTNuYqZyL5wQT0FZbDNGKn309Pk0a9uZIkWK8PH9G65fOEV0dBR6+oZUql6bSXZLUdcQnyslJSWePbrHmaOexMXFYGBYjBr1GtGz/0iKZFFHoaEhzJ8zi5DgYLS0tClnZcXaja7Ub9CI+Ph43r97y4njR4mICEdHV5dKlauy1X13gXwgRR7XUaXKVVm2ci2b1q/GfesmTM1KMGXGbNp17Cwpc+PqZRwWpq6BmGcrDqc3fNQ4RoyZkHeDkI9NOeX8mVOIENG2/R/ZF84hhWmPPHT5+qS7H634cT/qIr4fLVvhzDoXZ+xm2/AtMhJTUzPGT5xCr7/y/3Di4/OMEUNT+4qVTo4AdOnancVLl+Vb/k/kVUdZnTu7eQt5/eolJ/4+RtS3KAyNjLC2rsvylaulpijmhNCwTPqgTa6SCDODh44gPi6eZUvE94kqVauxfnPO7n0Cvz8KIlH6JY7/TRYtWsRMu7x/ITUnOC1dBICNnXw/PgGwYqk9AMu8jbMpmT9m1xZ74WbNke+5W75EfO4m2cyVq561K8TfCBg6Mf8epOxwXyfu1KfOkv0xj4Jg9fLFgPxt+mnPDFv5tu+VjuK23WnwVLnqATixYzUA0+RcR84/6qiwrqOJM+R7Ha1bKb6O5G0PpNo0eaZ8bVrjVDg2/bSnsPTYyPl6BVjx45oVzl3u+Hneps2Wb/8D4LxsMQsWyP96zQ1mYw7LXcfnzT3kruPfQPC8CwgICAgICAgIFCrCtJm888svWBUQEBAQEBAQEBAQECN43gUEBAQEBAQEBAoVwfOedwTPu4CAgICAgICAgMBvguB5FxAQEBAQEBAQKFQEz3veETzvAgICAgICAgICAr8J/1ehIgUEBAQEBAQE/h/51UJFlpxwTO46Pq3vKncd/waC511AQEBAQEBAQEDgN+H/as77lJny/RCCi5P4QyyF9cEFgFMqzeWqp2PCFeC/9/GNbsOmyVUPwNHtzkDhfdSos5w/avT3jw8ayfsjZD8/QDZo/Cy56gHYuWE5UHg2FVb7/q98dApSbZo+W751tGrZf/NDQ4X5Qbr/2rkrrDHDsEKoo+3rCu7rtQWFMOc97wiedwEBAQEBAQEBAYHfhP8rz7uAgICAgICAgMC/j+B5zzuC511AQEBAQEBAQEDgN+GX97wvXLgwQ6SYYsWKERQUVOC6PNxc2bhuNX36DWTaTDsALl88x+GDXjz38yEyIoLd+w9jVaFirmUf9NzHQa/9BH4OAKB0mbKMGD2ORk2aAnDpgliPn69Yzx6vw5TPRs/kyZNZoKubUZd3ACvOveYf22aZ7rfu0ht2/+NPUTUlRjaxpF4pPYoVVSUiJpGrr0LYcu090fHJubYRwHPfHjzc3QgJDqZM2XLMnG1Hrdp18iRLFm5bt3Dx/DnevXuLqpoaNWrUZMq0GViWKp1jGUf2unP3xmUCPr1HRVUVq0rVGDByImYlLQFISkpiv/tGHv5zk69BAWhoalG1Zl36jZiIvqGRRE5EWAi7XNfwxPsucbHRmJWwoHu/odRv2lqmbu/799jp4Yafrw8hwcGscllPi1ap5UNDQli7eiW3b9/ke1QUNWvXYZbtXMwtLLO06eh+d+7dvMznTx9QURHb1Hf4BIlNAJtWLuTa+ZNS+5WtUIXFa9wl24kJCezeuoZbV86SGB9P5ZrWDJuQ9fxz7/v32Onuhu8Pm5zXSNt08fw5Dh3wxM/Xh4iICPYfPJJt+wZ4+sibg3s9ePXcj7DQYOY7rqZh05aZll3jZM/pY4cYPcmG7r0HABAUGMCQPztmWt5u8Yo827N5wzrOnjlFUFAQysrKVKxUmQmTplC1WvVsbcoJBX0dHfSS0f80biop8+7tG9a6rOKB9z1EKSmULlOWZStWY2Jqlm97vO/fw2O7G36+zwgODmb12g20bCX7GskJ27dt4fLF87x/9xZVVTWq1ajJpCnTM/QD796+Ye3qlXhL7CrHspWrMc2nXYXR1xWUricP73NgjwcvX/gRFhLMwmUuNGomvo6SkhJx37Keu7euE/TZHw0tbWrVqcfwcVMwNDKWyAgLDcF1vTMP7t4mNiaaEuaW9B08gqYt2xa6Pb+KnvRjhqTERDZtWMOtG9cI8PdHS1sL63oNmDBpOkbGxlnKevLwPl57PHj1wo/QkGAWZVJH//yoI00tbWrWqceIdHX0E5FIhN20cdy7c1NKzq+G4HnPO7+F571y5coEBgZKfk+fPi1wHb7PnnLkkBdlrcpLpcfGxlK9Rk3GT8rfAkfjYiZMmDKNnfsOsHPfAerUrc/0yRN48/qVlJ6Jk3OuZ+vWrXRYe0vym7DvMQAXnwcDSOV1WHuLxSeekyIScelFCACGWioYaamw9tJb+m27j/3JFzQorc/cjuVl6syKM6dP4bTMkZGjxuJ58Ci1atVm3OiRBH7+nCd5srh/7y69+/Zn1z4vtmx1Jyk5mTEjhxMTE5NjGb5PHtCuay+WrHNn7vINpCQn4zBrAnGxsQAkxMXx7tVzeg4YwfJNu5m+YAWB/h9xmi9dP+uWzefzpw/MWryKla77qdu4Basd7Hj36rlM3XGxsVhZVWCWXcbFUCKRiGmTx+Pv78/qtRvZ63UYU1MzxowcRmw29vk9eUDbzr2wd9mOneN6kpOTcbSbSFxcrFS56nUasGnfaclv1mIXqfydm525f+sKk2yXsMB5G3GxsayYP5WUlBSZumNjY7EqX4HZmdj0M796zVpMnDI9SxvSExcbS6my5Rk3LesFXbeuXeKFzzMM0jxYARgZm7D3+EWp38DhY1FTV8e6fuM822Nhacksu3kcOHwc9517MDMrzrhRwwkLC8uVfZkhj+vI2NiECZOnsXPvAXbuzdj/+H/6yIgh/bEsVYot23aw98BRRowai4qKar7tAYiNjaF8+fLMnlNwi04f3L9Hrz798NjtyUbX7SQnJzF+zAip6+TTp48MH9wPy1KlcXXbyb6Dxxgxeiyq+bSrsPq6gtIVFxdL6XLlmTDdNkNefFwcr1/4MWDoaDZ6eLLA0Rn/Tx+YP3OSVLnli+zw//Aee6e1uO4+TOPmrVkybyavX/gVuj2/gp7MxgxxcXG88PNl2Mix7Np/iOWr1vLpw3umTxmXrbys6iguLo5XP+poUxZ19JND+3cLA+P/OL+85x1ASUkJExMTucmPiYlmnp0Nc+bbs33rZqm8jp3EMUI/BwTkS0fT5i2ktsdPmsIhr/08ffKYMmXL8Ufn3OuJiYkhLClRsj24gQGfwmN58DESgLDoRKnyTa0M8f4QweeIOADehsQw+4ivJD8gIo5NV9+xqHNFFBUgOZdfANi1w53uPXvS489eAMy0ncOtWzfw8tzH5Km5G7RlxSZXN6ltewdHWjRpgJ+vD7XrWOdIxpxl66S2x9ksYMSfbXj7yo9K1WqhoaXFPKeNUmWGTrDBbsJgQr4EYVhM3B5f+j5l5OTZlK1QBYCeA0Zw8tA+3r2WPXhv1KSp5I1Lej5+eM/TJ485cORvypQtB4Dt3AW0btaQM6dP0r1nL5lybZdK2zRm+nxG927Lu1d+VKxaS5KurKyCrr5hpjJior9z+ewxxtssomqtegCMn2XPhAGdKGVeHDOzzL2VjZs0pbEMmwA6dfnZvv1llskM6waNsW4ge5ANEBL8hY3Ojjg4b2K+zUSpPEVFRfQNpG29de0STVu1Q11DQ6bM7Ozp8Ednqe3pM2dz9PBBXr18Qb36DbI83uyQx3WUof+ZKN3/bFjnQsPGTZk81UZSpkSJknk3Ih2NmzSjcZPM3wTmlfWbt0ltL7R3pHXzhvj5+lDrRz+wcZ0LjZo0Y/K0grWrsPq6gtJVt0ET6jZokmmeppY2y9e6SqVNmGbLhOH9+BoUiLGJKQC+zx4zyWYuFSpXBaD/0FEc2r+LV7kcvBfWuZOnHlljBi1tbdZv2S5VdsasuQwZ8BdBgZ+zfIuVVR1paWnjJKOOvgQFUuxHHQG8efWCQ/t3smH7Pv7q9Gt63H8iPGDknd/C8/7q1SvMzMwoVaoUffr04e3btwUq32npYho1aUbd+g0LVK4skpOTOXv6JLGxMVSrXqNAZCoVUaB95WL8/Tjz6UT6Gso0KqPPcRn5P9FSVSI6ISnXA/fEhAT8fH1o0FB6oNWgYSMeP3qYO2G55HtUFABFdXTyLCMm+jsAWtpFsyyjoKCAhpaWJK1ClRrcunKe798iSUlJ4eblsyQmJlCpet5ezSYkJACgoprqGVRUVERZWYVHD7xzJUuWTb5PvBn9V1umDuuJ62oHIiNSvcVvX/mRnJRE1dr1JWn6BkaUtChDSEhIru2RNykpKaywn8Of/YZgWbpstuVfPfflzasXtO/UvcCOITExgcMHPNHS1saqfIX8ySqE6yh9/5OSksLN61exsLBkwpgRtGneiMH9e3Pl0oUC0VdYfP8u3Q+kpKRw49oVzC0sGT9mOK2bNWRQv7+4nE+7CrOv+7f61ejv4r5OU1tbklalWk2uXjjLt0hxX3f5/GkSExOoXitnDhMoPHvkrSc3Y4bv36NQUFDI8t6SF37WkVaaOoqLi2XJ/FlMmG6XwWkh8N/il/e816tXj507d2JlZcWXL19wcHCgYcOG+Pj4YGBgkG/5586c5MVzXzz2HCiAo82a1y9fMnRgXxIS4lHX0GCFyzpKl8l+wJETmlkZoqWmxMmnmQ/OO1Y1ITohmSsvgmXKKKquxLBGFhx5GJhr/eER4SQnJ2eoEwMDQ0JCZOvMLyKRiJVOjtSsVZty5azyLGPHZmcqVKmBeanM6yMhIZ69butp1LI9Gpqpg/epcx1Z7WDLsB6tUFRUREVVDZtFKzAxK5GnY7EsVRpTMzPWuzgzZ/4i1DXU2b3Dg5CQYIJzcR5FIhG7XFdTvnINSlqm2lSjTkPqNWmNUTETvgZ95sCOzTjMHMvS9btQVlEhMiwUJWXlDDcaHT19Yr+F5skmeeK12x1FRUW69uqXo/JnTxzB3LI0larWyLfua1cuM9tmOnFxsRgaGbHZdTt6enr5kinP6+j1q3T9z2px/xMSEkxMTAwe27cxdsIkJk6Zzu2bN7CZNonN2zyoXaduvvQWBiKRCOcVy6hRszZlf/QDYWGhYrvctjJu4mQmTZnBrZvXsZk6kS1uO/JsV2H2df9Gv5oQH8+2TS60bNsRzTR93VyHFTjMtaFn+yYoKiqhqqbGwmUumOXiTUZh2SNPPbkZM8THx7N+rTPtOnRCK43TJ78kxMfjlkkdbXJZQeWq1WnUtEUWe/9CCI73PPPLD947dOgg+V+1alUaNGhAmTJl2LFjB9OmZT4/PD4+nvj4eKm0pKSkDOW+BAXi7OTI2k3bUFUtmLmdWWFRypK9Bw4TFRXFpQvnWDjXFtftOwtkAN+lugm334QR8j0h0/zO1U046/OVBBkudU0VRVb3qsq7kBi23fiQ5+NI/xpMJBLJ9dWYo4M9r16+xGPX3jzLcFvnxMe3r7F32ZZpflJSEi4OdohSUhgxSXrh5n73jUR//8Y8p41o6+hy7+YVnO1nY786c1nZoayszArntdgvmEvzxvVQVFSkbv0GUgsLc4L7Bic+vnvNwlVbpdIbNE9dXFbSsiyly1Vi4qDOPLx7g7qNZb9iFYly+SqmEHj13JdjB/awfvv+HLWx+Pg4Lp8/Tb8hIwtEv3Xdeuw/dISI8HAOHzzAzBlT2LXXC/0CcCrI4zqysLRkr1ea/meeLa5uO9H+8aDWrEVL+g8cAkD5ChV5/Pghhw54/haD9+VLF/Pq1QvcPFL7AdGPNRrp7Xry6CGHvPbn267C7OsKS1dSUiJL5s9ElJLCRJs5UnnuW9bzPeoby9e6oqOrx61rl1g8ZwarN7nLkCabwrKnoPXkZsyQlJjInFnTEaWkMLMAPwKXlJSIw/yZpKSkMClNHd26fplH3nfZvMOrwHQJ/Lr88oP39GhqalK1alVevXols4yjo2OGCDXNmjVjRrpyfr4+hIWFMrjfn5K05ORkHj64zwHPvdy4+xhFRcUCO3ZlZRVKmlsAUKlyFXyfPWXfnl3Mmb8omz2zxqSoKtaWesw+7JNpfo0SOlgaaDD3qG+m+Roqirj0rkpMQjKzDj0jOSX3AzU9XT0UFRUzTK0ICwvFQE6v7xyXLObKlUts37GbYnlcE7F9nRPet6+xyNkVA6NiGfKTkpJYvXg2wUGfmb9ik5TXPeizP2eOebFqmyclLcsAYFnGiudPH3HmuBfGRdXydEyVKldh/8GjREVFkZSYiJ6+PoP6/UXFSlVytL/7hhV4377GglWZ25QWPQNDjIxNCQr4BICOvgFJiYl8j/om5X3/FhFOUc282SMvnj1+QER4GAN7tpekpSQns3X9Ko547WHnodNS5a9fPk98XCyt2ndOLypPqGtoYG5ugbm5BdWq16BLx3YcOXyQ4SNH51mmPK+jDP2Pj7j/mWk7B0UlJUqVLiNVvlSp0jx69CBfOgsDJ8fFXLtyia3u0v2Arp4eikpKGZwjpUqX4dHD3E1BS0th9nWFqSspKRGHOTYEfQ5gxfptUh7dz/6fOHZwH1v3HJZMTytTrjxPHz3g2CFPdDSUc6SjsOyRl56cjhmSEhOxnTmVz5/92ejqXmBe96SkRBbLqKNH9+/yOeATXds2ktpnkd00qlSvRZWKeXszLU+EOe9557cbvMfHx+Pn50eTJpkv7ACwtbXN4JVfsSJjWDjreg3Yd/CYVJr9/DlYlirFoKEjCnTgnhkikXhuXn7pVM2E8JgEbr7OfFpD5+om+AVG8eprdIY8TRVF1vSpRkJSCjMOPpPpmc8OZRUVKlaqzJ1bN2nVuo0k/c6tWzRv2SpPMmUhEolwXLKYSxfP4+axK08L0EQiEdvXO3H3xhUWrtqCsWnxDGV+DtyDAj6yYOUWtHV0pfIT4sQLfxUUpJeOFClSBFEeHoDSo/1jLuPHD+/x9XnG2AmZRxb4iUgkwmPDCu7dusK8FZsxNsloU3qivkUQGvxFsoC1dLmKKCop8fTBPzRoJq7H8NAQPn14Q7OmufP+y5tW7TtR07qeVNqcqWNp1b4TbTp2y1D+7Imj1G/cHF09ffkckEiU7+u5cK8j8Xx9ZWUVKleuwof376TyP354n+9wivJEJBLh5LiYy5cu4Oq2k+IlpKeqybLrw4f3+Qp/WZh1VFi6fg7cA/w/sGK9G0XT9XXxPyJWKRRJ19cpKiISyY5ClZ7CskdeenIyZvg5cP/08QObtu5AVzd/U+l+8nPgHuD/gZXr3dBJV0d9Bg2nQ5ceUmkjB/Rk7GQb6jduxulDuwvkOAR+DX75wfuMGTPo3Lkz5ubmfP36FQcHB759+8bgwYNl7qOqqprhlZaSUkZTNTU1KVNW+mlUXV0dHR1dSXpkZARfAgMJDv4KwIcP4huBvqEhhunC0mXFhjWradi4CcVMTImJjubsmVN437/L2k2uEj1BafX8uOEYZKNHAfHg/eTTL5kuMtVUUaRVBSPWXHqTIU9DRZG1faqhqlyEBcf90FRVRFNV/MASEZNIbsefAwcPZc7smVSqUoXq1Wty6IAngYGB9OrdJ3eCsmHp4kWcPnUCl3Ub0dTQJCRYPIdRS1sbNbWceYfd1i7nxqUzzLRfhbqGBhFhYg+NhqYWKqpqJCcn4bxoJu9ev2CWw2pSUpIlZbS0dVBSVsbM3BKT4iXZ6rKUgaMno1VUPG3myYN/mOWwmo8+dzPVHRMTzaePHyXbAQH+vHjuR1EdHUxNzTh/9gx6+nqYmJjx+tVLVixfQvOWrTIsvkrP9vXLuXX5LNMXrkRdPaNNcbExHNzlSt3GLdHTNyT4SyD73TegraOLdaPmkrIt2nVlt6sL2kV10NTWYc9WF8wty2QZ8Sk7m362769fxe37/bucte/YmBg++6fKDfocwJuXz9EuqoOxiWmGQYaikjJ6+oaUTBcT/7P/R5498mbxyg1ZnsOc2KOro8s21800a9ESQyMjIiMi8Nq/jy9fgmjTrn0WUnOGPK6jDWt/9D/FTImJSdP/bHT9oXMYtjOnU6t2HepY1+PWzRtcv3aFLdt25NsegJjoaD6mPZ/+/jz380NHRwdTGRGMsmPZEnvOnD6B85oNaGhqSuYya2ml9gMDhwzH1mYaNWvVwbpuPW7dvM71q5fZ4rYzX/YUVl9XULpiY2IISHcdvX75nKJFdTAwNMLebjqvX/ixeOV6UlJSCAsV9x3aRXVQVlampGUpzEqYs2a5PaMmTKeoji43r13iwd3bLF65Hl/vm4Vqz7+lJ7sxQ1JSErNtpvDczxfntZtITkmWtEsdHR2UlVVkyk5fR4E/6ki7qA6GhkYs+lFHDjLqSN/AMNNFqsbFTDHN4xoseSN43vPOLz949/f3p2/fvoSEhGBkZET9+vW5c+cOFhYWhaL/+pXL2C+wk2zPmSUOMTVi9HhGjZ2QYzmhYSHMnzOLkOBgtLS0KWdlxdpNrtRvIH7Fde3KZRbNS9VjN1OsZ+SY8YweJ1tP3VJ6mOqo8feTzBeqtqlkjIICnPP9miGvgokWVYqLp0YcHivtwey28Q6BkfEZ9smK9h06EhkRjuumjQQHf6VsOSs2bHbFzCx7D3Bu8PLcB8DwIQOl0u0dHOnavUdmu2Tg3N8HAVg4XXqKwzibBTRv15nQ4K/cv30NgJmjpRdDLli5mco16qCkpITtkjXs2baO5XOnERcXg4lZScbPXEiteo1lDt59fZ4xaljqw6fzimUAdO7SjUVLlhES8hXnFcsIDQ3F0MiITp27MnLM2GxtunDiEACLbcZIpY+ZPp9mbTtTpEgRPr1/w/ULp4iOjkJP35BK1Wsz2W4p6hqakvIDx0yliKIia5bYkZAQR5Ua1oxdtIBbp/fJ1O377Bkj09i0yumHTV27Yb9kGVcvX2LB3NT2PdtG/GZs9NjxjBkvHd4xLS+f+zBr4gjJtuu6lQC07tCFGXMXZ3tOfnL2xFEMjIypVTdnYRyzsmfO/EW8f/eOv49PIiI8HB1dXSpXqcr2HXsk4T3zgzyuo9DQTPqfjan9T4tWbbCduwCP7a6sXL4UC8tSLF+1hhq1aufbHgAfn2eMGDpIsr3SyRGALl27s3jpsjzJPOglbo+jhg2SSl+weClduor7gZat2mA3byHubq6sXL4EC8tSODmvpWY+7Sqsvq6gdL187sOM8cMl25vXit9Et+nYhUEjxnL7+hUAxgySDkW7coMb1WtZo6SkzBLnDbhtdGGezUTiYmMwK2GOzTwH6jVskqvBe2Gdu8Kso598/fKFa1cuATCgt3REq01bd1DbWvY6ixcy6qhtujoanUkd1chFxB+B/wa//OB9//79hapvczqPTKeu3enUNf9h5eYvWpJlfueu3emcBz3/vAunnuNVmflHHwVy9FHm0WMefIzMct+80Ltvf3r37V+gMtPz2OdFvmV4XbifZb6xiVm2ZQBMS5gzY6HsL3VmRh3rejx4KjsOfN/+g+jbf5DMfFnsO3svy3wVVbUMseAzLaeiytDxNgwdb5Nt2Z/UqVuPh89k29SlWw+6dMvZg1Vaqtey5szNxzkun36e+0+GjpnE0DFZTztKS3b2rFqT/XnMDwV9HWXX/wB07d6Trt17FpjOtFjXrVcg121avJ/Irp+0yMuuwujrCkpX9VrWnL/9RGZ+Vnk/KVHSggWOq/N8DGkprHNXGHrSjhnMihfn7qPcxb3/SY1a1lzIoh6yyivIfQoTwfGed36LOO8CAgICAgICAgICAr+B511AQEBAQEBAQOC/hTDnPe8InncBAQEBAQEBAQGB3wTB8y4gICAgICAgIFCoCI73vCN43gUEBAQEBAQEBAR+ExREv+J3z+VA+i+uCggICAgICAj8v7BgwYJ/+xCkKD/rrNx1vFjeTu46/g0Ez7uAgICAgICAgIDAb8L/1Zz3Gbbz5Sp/paM9ANNmz5OrHgDnZeIP1JxQaiZXPZ2SxHHgZ82R7xP78iWLClVPx0FT5KoH4NROFwCmz5Zvu1u1TNzuWvbNeRzzvHBp31oAbOzka8+KpWJ7+o7JeZz5vLJvszhGv42c+4YVP/qGwmrfo6bYylWPq4v4I0vytgdSbZo2S779qvNycZ/6X+vrpsyU//3Ixem/ee4Kq1+YPHOuXPUArHFykLuO3CLMec87guddQEBAQEBAQEBA4Dfh/8rzLiAgICAgICAg8O9TpIjges8rguddQEBAQEBAQEBA4DdB8LwLCAgICAgICAgUKsKc97zzWwzeAwICmDVrFqdPnyY2NhYrKyvc3NyoXbt2vuRu37aFSxfO8/7dW1TV1KhevSaTpk7HslRpABITE9m4bg03r1/FP8AfLS0t6tVvyKQp0zAyLpYrXe7bXLl88YcuVTWq1ajJxCnTsSxVSlImNDSEdatXcef2TaKioqhVqw42tnMwt7DMVObkyZNZoKubIf3A/QCczr5CXVmRCS1L08zKEB11JQIj4/C8F8ChB58BKKqmxKimltQvrU+xoqpExCRy5WUIm6++Izo+OVf2AXjfv4fHdjf8fJ8RHBzM6rUbaNmqda7l5BTPfXvwcHcjJDiYMmXLMXO2HbVq18nRvsf3e3Dv5mUC/T+goqJKuUpV6T1sImYlLaTKBXx8x3639Tx/+gCRSERxi9JMtFuKobEJAA42Y3j+9IHUPvWbtWGC7RKZurdv25KhLUyaktru0rPEfj6HD3ox3caWfgMHy5R7+dQhrpw+TOiXQADMzEvTuc8wqtZpCIBIJOL4vm1cO3uMmO9RlLKqRP8xNhS3SNXrZDuWl88eSsm1btKa0TOzXuzkff8eO93d8PX1ISQ4GOc162mRpu5FIhFbNq7n0EEvor59o0rVatjOnU+ZsuWylPvskTeH9+/kzQtfwkJDsFviTIMmLST5nZvWzHS/oWOn0KOv+FytX+HAY+9/CAsJRk1dnYpVqjN4zGRKWpTKdF+JPR5p7HGRtmf+nNn8ffyo1D5Vq1Vn5x7PLO3JKflp2wCPH9xn/24PXj73JTQkmMVOLjRp3kqSLxKJ8Ni6iRNHDxIV9Y2KlasyxWYOpcqUlZRZ5bgI77t3CAkJRl1dgyrVqjNqwlQsLDNvp/K2KT0HvfZx0Gs/gZ8DAChdpiwjRo+jUeOmACycZ8uJdHVUpWo1PHb/GnX0q+jycHNl47rV9Ok3kGkz7TLkOy5ewJFDXkydMZu+A2T3P7mhsM6dPPRk1zfExESzdvUqLl+6SGRkBGZmxenTfyB/9e6bZ50ebq5sWudC734DmTYzdTH6u7dv2LDGmQfe9xClpFCqTFmWOjljYmqWLxsFfn1++cF7eHg4jRo1okWLFpw+fRpjY2PevHmDbiaD1tziff8ef/XpR+UqVUlOTmb92tWMGz2CQ0dPoK6hQVxcHM/9fBkxehxW5cvz7ds3Vjo5MmXiOPZ4HsqVrgf379GrTz8qVa5CcnIyG9e5MGHMcA4cEesSiUTMmDwBJSUlVq3ZgKamFnt2eTBu1DBJmfRs3bqVi8qNJNtljDTZ0L86F/yCAZjWpgy1LfSYf8yPwMg46pfWY2Z7K4K/x3PtZShG2qoYaauy5uIb3gZHY6qjxuwOVhhpqTL7sE+uz2dsbAzly5ena/ceTJ8yMdf754Yzp0/htMyROfMWUKNmLQ567Wfc6JEcOX4SU7PsOy6/pw9o07kXpa0qkpySzAGPTSyfM5Hlrp6oqakD8OWzP4unj6RZuy70HDgKDU0tAj6+Q1lFRUpWiw7d6DlwlGRbRVUtS90/20LlyuJ2t2HdasaPGcHBTOr58qULPHv6BCNj42xt0jM0pufg8RiblgDg1sWTrF8yk/kuOyluUZozh3Zx/ug+hk6Zh0lxc054uuM8fxJLNnmipqEpkdO0XVe69k+1R1lFNVvdsbGxWJWvQJduPZgxNWPUG4/t29i904NFDo5YWFqydctmxowcxtETp9HU1JIpNy4ullJlrGjdoQuO82ZkyN955LzUtvc/N1m7fBENm6UOVMuWr0jzNh0wKmZK1LdI9rlvZv70cWzzPJG1PVay7QFo2KgJixyWSraVlZVlyssN+W3bID5vZcpZ0aFzN+bPmpohf9/O7RzYt5PZ8x0oYW7Bru2uzJg4il0H/kZDU9wWrCpUonW7PzA2EZ83j62bsJk4mn1Hz/wrNqXH2NiECZOnUbKkOQAn/j7G9MkT2ON5SPJQ2LBRE+bbpz5I/0p19Cvo8n32lCOHvChrVT7T/Cs/+x+j7PufnFJY505eerLrG1Y6LeP+3X9YsswJM7Pi3L51E8cl9hgZGdOiZatMJGaN77OnHD10IEMd+X/6yKihA+jSrScjx45HS0ubd2/foqKafX/9q6AguN7zzC8/eF++fDklS5bE3d1dkmZpaVkgsjds3ia1vWixI62aNcTX14fadazR1tZm09btUmVm2c5lYN9eBAZ+xjQXT7frNm+V2l5gv5Q2zRvh5+tDrTrWfPzwnqdPHuN5+LjkxjN7znzaNm/E2dMn6dazVwaZMTExhColSLYHNzTnU1gsDz5GAFC1uA4nnwZJto88DKR7TTMqmWpz7WUob4KjmXUodZAeEBHHpivvsO9aEUUFBZJz+f2uxk2a0biJfENX/mTXDne69+xJjz/F52Wm7Rxu3bqBl+c+Jk+dnu3+s5asldoeNW0+4/q04/0rPypUrQXAgR2bqG7diL4jUjtoY9PiGWSpqKqhq2+Y42Nfn67dLbR3pHXzhpK28JOvX77gtHQx6zdvY/KE0dnKrVG3idR2j0FjuXL6CG9fPMPMvBQXjnvyx19DqN1Q7LkeNnU+0wZ25J+r52jWobuUPTp6Bjm2B6Bxk6Y0btI00zyRSMTeXTsZPmoMrdq0BWDx0mW0ataI0ydP8OdffWTKrVO/MXXqN5aZr2cgfd7v3LhC1ZrWmJiVkKS179JT8r+YqRkDRo5n0tDefA36nCd7fqKiooKhoVGWZfJCfts2QL2GTajXsEmmeSKRiIP7dzNgyEiathB7DG0XLKF7++ZcOHuSLj3+AqBz99Q+x9SsOMPHTGB4/z8JCpR93uRpU3qaNm8htT1+4hQOee3n6ZPHkj5U+Reuo39bV0xMNPPsbJgz357tWzdnyP/65QsrlzmwZuNWpk0ck2c96SmscycvPdn1DU8eP6JTl27Usa4HQM9evTl0wBNfn2e5HrzHxEQz324mdvMX4b51i1TepvVraNi4KROnpjo1ipcomSv5/zbC2D3v/PILVo8fP06dOnXo1asXxsbG1KxZk61bt2a/Yx6I+h4FgI6Ojswy36OiUFBQQFu7aL50ff+hq+gPXYkJiQCopnlqVlRURElZmUcPH2QUkA6lIgp0qFKM448DJWmP/CNpWs4AI22xp7i2hS7m+urcfhMuU46WmhLR8Um5HrgXJokJCfj5+tCgofSgrkHDRjx+9FDGXlkTE/MdAE1tcX2kpKTw6O5NTIqbs9xuIuN6t2PB5KHcv3Ulw763Lp9hzF9tmDWqN3u3riE2JjpXutO3hZ/659nNZOCQ4dlOLcmMlORk7l47T0JcLGUqVCXky2ciw0OpXLOepIyysgrlq9Tk9fOnUvveuXKWKf3aMX9cX7zc1hKXS3vSE+DvT0hIMA0apr4lUlFRoXYd6zzXV2aEh4Vy//YN2vzRTWaZuNhYLpw6TjHT4pKpT3nl/v27tGzWkK6d2mG/cB5hoaH5kgfyadvpCfzsT1hoCNb1G0rSVFRUqFGrNj5PHme6T2xsDKf/PoqpWXGMi+XuvBWGTcnJyZw9fZLY2BiqVa8hSfe+f5c2zRvRo3N7HBb9PnVUGLqcli6mUZNm1E3TDn6SkpLCgrmzGDB4WJ76H1kU1rkrzDpKT42atbh65RJfv3xBJBJx7+4dPnx4T8NGsp0Qslix1CHTOkpJSeHW9auYW1gyaexI2rdozLABvbl66UJBmSHwi/PLe97fvn3Lpk2bmDZtGnZ2dty9e5dJkyahqqrKoEGDCkyPSCTCecUyatSqTdlyVpmWiY+PZ63LKtp37ISWluxX/TnTtZwaNVN1WZYqhamZGevXrMZu/kLU1dXZs3MHoSEhhIQEZyuzeXlDtNSUOPEkSJK28uwr5vxRnlOTGpKUnEKKCBxOvuCxf2SmMnTUlRje2ILDDwMzzf9VCI8IJzk5GQMDae+wgYFhjs5VekQiEXu2uGBVuTolLcsA8C0ijLjYGE547eDPwWPoM3wij+/fZs3iWdgt30TFamLvfKOW7TEqZoaOvgH+79/g5b6Bj29fMdtxfY51O69YJtUWADy2b0VRSZG+/Qfmyhb/969xtBlJYkICqurqjJuzHDPzUrz2ewJAUV19qfJFdfUJ/ZraZuo3b4dhMTN09AwI+PCWwzs28un9K6YvXper40jLzzrRz1BfBgR+zr0XVxaXzvyNuoYGDZu2zJB38ogXHptdiIuNpYR5KRY7b8rXFIpGTZrSpl17TE3NCAjwZ+P6tYwaMYS9nodQSTetKjcUdNvOjJ8DWD19aR16+gZ8CZS+9o8e3M/mdc7ExcZiblmKleu35vq8ydOm169eMnRgXxIS4lHX0GDF6nWU/jFvv2GjJrRu0w4TUzM+BwSweeNaxowcwu79v34dyVvXuTMnefHcF489BzLN3+m+DSVFRXr3y13/kx2Fde4Ks47SM8t2DvYL59GudTOUlJRQUFBg/iIHatbK3Rq9c2dO8eK5L+57vDLkhYeFEhMTw87t2xgzfhITJk/j9q0bzJo+mY1bPaTe4P7KCNNm8s4vP3hPSUmhTp06LF0qnltas2ZNfHx82LRpk8zBe3x8PPHx8VJpSUlJWepZtmQxr16+YPuOvZnmJyYmYmszDZFIhO3c/H3dzWnpYl6/esE2jz2SNCVlZZyc17J4wVxaNq6PoqIides1oGHjzF99p6dLdVNuvwkl5HvqNJo+1iWoWrwo07yeEhgZR01zXWa1L0fo9wTuvpf2vmuqKLK6dzXehUSz9fr7fNlXWKS/8EUiUZ46gx0bVvDp3WvmrXKVkgVQq0FTOvToB4BFGSte+T7h4snDksF7iw7dJPuUtCyDSfGSzJs4mHevnudI9/Kli3n16gVuHqntzs/3Gfv37GKP56Fc22NS3IL5a3YSG/0d71uX2b7anpmOm1ILZHLO0qY1bZdqT3GLMhiblcRh6hA+vM6ZPVmRsb4KtvM+f+oYzdt0yHTOZ/M2HahZpx5hoSEc2b+T5Qtm4bTBPRMpOaNd+46S/2XLWVGpchU6tm3F9WtXaNW6bZ7l/qSg2nbudJChfbRu/wd16jYgNCQYzz07WGQ3nXVbdxWQvvzbZGFpyV6vw0RFRXHpwjkWzrPF1W0npcuUpW2GOqpMp/atuXHtCi1/kzqSh64vQYE4OzmydtM2qTe9P/Hz9WH/3l3s2pf7/ienFNa5K8w6+sm+Pbt4+uQxLus2YmpanAfe93B0WIShoRH1G2R8y5EZqXW0NdM6SkkR35+aNm9J3x9BDKwqVOTp40ccPuj52wzeBfLOLz94NzU1pVKlSlJpFStW5NAh2QtGHR0dWbRokVRas2bNmC2j/PKli7l25RLbPHZTzCTjK+HExERmz5hKQIA/W9w88uV1d3J04NqVy7i678qgq2Klyuw9cITvUVEkJiaip6/P4H69qVS5cpYyTYqqUreUHjMPPZOkqSoVYVyLUtgcfMbN12EAvP4ajVUxLQbULyk1eNdQUWRt32rEJiRjc8CH5JRfd8oMgJ6uHoqKioSEhEilh4WFYmCQ87nnADs2ruDBnWvMXbkFA6PUCELaRXVRVFSkuLl0RJLi5pa88Ml8agGAZdkKKCop8eXzp2x1OzmK291Wd+l299Dbm7CwUP5ol+pBTk5OZvWq5ezds4MTZy7JlKmkrEwxM/G8R8tyFXn/ypcLxz3p8KfYg/YtPFRqfn5UZHgGb3xaLMqUF9sTmL09svg55zg0JERq4VtYWGgGb3xe8Xn8gICP75m1cFmm+Zpa2mhqaWNW0oLylavR94+m3L4u+zzmFiMjY0zNzPj44UO+5BRk25bFz3MeFhqCQZr54BHhoein88ZraWmjpaVNCXMLKlWtTudWjbhx5WKu9MnTJmVlFUqaiyNEVapcBV+fp+zbs4s58xdlKGtoZIypmSkfP/76dSRPXX6+PoSFhTK435+StOTkZB4+uM8Bz71MmDyd8LBQunSQ7n/WODuxf89Ojp3OXf2npbDOXWHWUVri4uJYt8YF5zXraNK0OQBW5cvz4sVzdu3YnuPB+3NfH8LDQhnSL3Xdyc86Oui5lyu3vVFUUqJUmTJS+1mWKs3jHEyz/VUQPO9555ef896oUSNevHghlfby5UssLCxk7AG2trZERkZK/Zo0yejBFolELFtiz6WL59ni5kHxEiUylPk5cP/48QObt7qjq6uXJztEIhHLly7m8sXzbNrmnqmun2hpa6Onr8/HD+/x831GsxZZL3LpXN2U8JgEbr4Kk6QpFVFAWbEI6aeup6SIpJxrmiqKrOtbjcRkEdO8npKQnJIn+woTZRUVKlaqzJ1bN6XS79y6RfUamYcOTI9IJGLHhhXcv3kFu+UbMTaRXoiqpKxMaatKBPp/lEoPDPiY5Vxp/w9vSU5KQldf9qBU3BbE7W7ztoztrmPnLuw/eIy9XkckPyNjYwYOGc76TdtkSJWlC5ISEyRTYXwe3ZXkJSUm8uLZQ8pWqCpz/88ff9ijl/cbXvESJTA0NOLO7VuStMTEBLzv38txfWXHuZNHKVu+IqXKZh41Iz0ikfjaLigiIsL5EhSIoVH+FkcWRNvODlOzEugbGHL/n9uStMTERB498KZytepZ7isSiUhITMiyTHoKw6afiOs18+MT11HQb1FH8tRlXa8B+w4eY7fnYcmvYqUqtO/Yid2eh/mjSzf2HjgqlW9kZMyAwcNYm8v+pzDs+Tf1pCcpKYmkpEQUFKSHVopFipCSkvN7a516Ddh78Bi7PA9LfhUrVaFdx07s8jyMiooKlSpV4cP7d1L7ffzwXggTmUeSkpKYO3cupUqVQl1dndKlS2Nvby9VbyKRiIULF2JmZoa6ujrNmzfHx0c6Ml98fDwTJ07E0NAQTU1NunTpgr+/f4Ef7y/veZ86dSoNGzZk6dKl/PXXX9y9exdXV1dcXV1l7qOqqprhVZOSUkZTly2x5/SpE6xeswENTU3JXDgtLW3U1NRISkpi5rTJPPfzZc2GzSSnJEvK6OjooKyc83mTy5fYc+b0SVatWZ+pLoAL586gq6ePiakpr1+9ZNXypTRr0Yr6aRb6pUcB6FzdhJNPvkgtMo1OSMb7QwSTWpYhLjGFoMg4alno0rFqMVwuvAHEHvd1/aqjplSE+ceeoaWqhNaP0xYek0BuHfAx0dF8/Jg62A3w9+e5nx86OjoFHj5t4OChzJk9k0pVqlC9ek0OHfAkMDCQXr1lRy5Ji8cGJ25fPsvUBStRU9cgIkzsodHQ1JKEeuz45wDWO86hQtWaVKxemyf3b/Pwzg3mOImnoXz57M+ty2eobt0Q7aK6BHx8x96ta7AoUx6rStV5+/BaprqXLbHnzOkTOMtod7q6ehkeEpWUlDA0MJQZCx7g8M5NVKndAH1DY+JiY7h77Twvnj1gysLVKCgo0LpLb04d2EExs5IUMyvJSa8dqKiqUa+ZeArB10B//rlylqp1GqJVVIfPn97j5bYG89JWlK1YDf+n12XqjomJ5lPaug/w58VzP4rq6GBqaka/gYNw27oFc3MLzC0scNu6BTU1NTr80SnLeoqNiSEwINXr/yUwgLevXqBVtCjGxUzFuqO/c/PKeYaPn5Zh/6DP/ly/dJaa1g0oqqtHWPBXDu71QFVVlTr1G3P6w4sM+2Rnj46ODps3rqdV67YYGRnx+XMA69asRldXr0C+a5Dfti0+/hgC0jx4Bn0O4NXL5xQtqkMxE1P+7DOA3R7bKFHSguLm5uxx34qamhqt2/0BwOeAT1w+f5Y69Rqgq6dPyNcv7N25HVVVVeo3bMKn136FblN6NqxdTcPGTShWzJSYmGjOnjmF9/27rN3oSkxMNK6bNtCydRsMDY35/DmAjevEddSiZZs865SnPYWlS1NTkzJlpdd1qauro6OjK0nPrP8xMDDEwlL2txFySmGdO3npya6vq13HGhfnFaipqWJqWhzv+3c58fcxptnIevefEXEdSS8UTq0jcfqAIcOYM3MaNWvVobZ1Xe7cusGNa1fYuM0jX/YVJr+S43358uVs3ryZHTt2ULlyZe7fv8/QoUPR0dFh8uTJADg5OeHs7IyHhwdWVlY4ODjQpk0bXrx4gba2NgBTpkzh77//Zv/+/RgYGDB9+nQ6deqEt7c3ioqKBXa8v/zg3dramiNHjmBra4u9vT2lSpXCxcWF/v3751v2Ac99AIwcJj13fuHipXTp1oOvX4K4ekX8ar3Pn92kyrhu3yEJBZUTDnrtB2D0MOmPXCxYvJTOXcVh+kKCg1m9YjmhoaEYGhnyR+eujBg9Nku5dUvpYaqjJhVl5idzjvgyvkUpFnerSFE1JYIi49l05Z3kI00VTLSpWlwcNefo+PpS+3ZZf4fAyLgc2wfg4/OMEUNTz+VKJ0exrK7dWbw08+kMeaV9h45ERoTjumkjwcFfKVvOig2bXTEzyxjKMTMunhBPu1oyUzoE2qhp82naVjygtG7UgmETZ3Pccwc7N63CtIQ5k+cto3yVGoDYO+/z6B5nj+4nLi4WfcNi1KjbiB4DRlAki4v0oJe43Y1K1+4WLF5Kl649cnT8mfEtIgw354VEhoWirqlFCcsyTFm4WhJhpn3PgSQkxLNn0wqiv0dR2qoy0+zXSGK8Kykp4/f4Phf+9iQ+NhY9o2JUq9OQzn2HZ2kPgO+zZ4xM07ZXOYnru3PXbtgvWcaQYSOIj4vD0cGeb98iqVKtGptc3bKM8Q7w+oUvdpNHSrbd1q8CoGX7zky1swfg2sWziETQtFX7DPsrq6jg8/ghxw/s5XvUN3T1DKhcvRZOGz3Q1ZM9XcjXJ509K37Y06UbdvMW8vrVS078fYyob1EYGhlhbV2X5StXZ2tPTshv2wZ44efD1LHDJNsbXFYA0O6PLtguWELfQcOIj49ntZMDUVHfqFS5KivWbZHEeFdRUeXJI28O7t9F1Ldv6OkbUL1mbda77cqw0LWwbEpPaGgI8+fMIiQ4GC0tbcpZWbF2oyv1GzQiLi6O169ecvLvY0RFRWFoZEgd63osdXJGU1Mze+H/gj2/gq7CoLDskZeerPoG+yXLWLbCmXUuztjNtuFbZCSmpmaMnziFXlmExM0LzVu2ZtbcBexw24qz01LMLSxxXOlCjZr5+3jl/yu3b9+ma9eu/PGH2IFhaWnJvn37uH//PiD2uru4uDBnzhx69BDfp3fs2EGxYsXYu3cvo0ePJjIyEjc3N3bt2kXr1mJHzu7duylZsiQXLlygXbt2BXa8v/zgHaBTp0506pS1hy4vPHia9SI8s+Ilsi2TU+4/yd5T1af/QPrkMrrIP+/CsV5yJdO80OgE7E9k7lkEePAxQua+ecG6bj0e+8jWV9D07tuf3n3z9hC3+8zd7AsBzdp1oVm7LpnmGRgVY+6KLZnmZYX3k9y3qazmuf9kyKQ5WeYrKCjQtd9IuvYbmWm+vlExZi7blGledtSpW4+Hz2TbpaCgwJjxExkzPncf76pasw5/X8s6tFv7Lj2lYrmnxcDQmIUrchb5Jy11rOvxMItrf+MWt1zLzA35adsANWtbc+XuU5n5CgoKDB01jqGjxmWab2hkzHKXvLUFWeTXpvTMXyT7K8ZqamoZvqdQ0BS0Pf+mrs1uO7PMz88898worHMnDz3Z9Q2GhkYscnAsUJ0Am9x2ZEjr0q0nXbpl3vf9DvxKc94bN27M5s2befnyJVZWVjx+/JgbN27g4uICwLt37wgKCqJt29TF7qqqqjRr1oxbt24xevRovL29SUxMlCpjZmZGlSpVuHXr1v/f4F1AQEBAQEBAQEAgN2QWfTCzqdWzZs0iMjKSChUqoKioSHJyMkuWLKFv374ABAWJQyoXK1ZMar9ixYrx4UeggqCgIFRUVNDT08tQ5uf+BcUvv2BVQEBAQEBAQEDgv4WCgvx/jo6O6PxYq/Tz5+iY8c2Ip6cnu3fvZu/evTx48IAdO3awcuVKduzYke6Ycx9+VB4hSgXPu4CAgICAgICAwH8OW1tbpk2TDmaQWex8GxsbZs+eTZ8+4rUJVatW5cOHDzg6OjJ48GBMfoRzDgoKwtTUVLLf169fJd54ExMTEhISCA8Pl/K+f/36lYYNcxYmNKcInncBAQEBAQEBAYFCRUFBQe4/VVVVihYtKvXLbPAeExNDkSLpQnwqKkpCRZYqVQoTExPOnz8vyU9ISODq1auSgXnt2rVRVlaWKhMYGMizZ88KfPAueN4FBAQEBAQEBAT+b+ncuTNLlizB3NycypUr8/DhQ5ydnRk2TBy1S0FBgSlTprB06VLKlStHuXLlWLp0KRoaGvTrJ/4Ku46ODsOHD2f69OkYGBigr6/PjBkzqFq1qiT6TEGhIBKl/4zPf5P0X1wVEBAQEBAQEPh/YcGCBf/2IUhRx+Gy3HXcn9siR+WioqKYN28eR44c4evXr5iZmdG3b1/mz5+Pior4mz4ikYhFixaxZcsWwsPDqVevHhs2bKBKlSoSOXFxcdjY2LB3715iY2Np1aoVGzdupGTJkgVqlzB4FxAQEBAQEBD4jyMM3v87/F9Nm7GxnS9X+SscxR+NsbGTrx6AFUvFum4aFlzc0MxoFHIWgFlz5HvRL1+yqFD19Bo5Q656AA5sXQnIvz38bAvVu4+Wq57HR8Qx7afPlq89q5aJ7ekz2kauegD2bxF/vKiw6qiw2ve0WfPkqsd5+WJA/vZAqk2TZ86Vq541Tg7Af6+vGzHZVq56ALatEUfv+K+duykz5XsduTiJr6MxU+3kqgdg8+qlcteRW36lOO+/G8KCVQEBAQEBAQEBAYHfhP8rz7uAgICAgICAgMC/j+B4zzuC511AQEBAQEBAQEDgN+G38LxbWlpKPj+blnHjxrFhw4Z8yfa+f4+dHm74+voQEhyMs8t6WrRKDekTExPN2tWruHzpIpGREZiZFadP/4H81btv7vW4p9GzRlrPxfPnOHTAEz9fHyIiIth/8AjlK1TMUubkyZNZoKubIf340yDWX3tPo9J6/FG5GOWMNNFRV2aM5xPehsRIlVUuosDIRha0KGeAqlIRHvpHsu7qe0KiE3Jl308bPba74ef7jODgYFav3UDLVgUbHqmg9Bzas5071y/h//E9KqqqVKhcnUGjJlHc3FJSRiQS4bljC+dOHCY6KopyFaswavJszEuVASDqWyT7PTbz6P4dQr5+oaiOLvUaNafvsLFoamlnefyy2kJiYiIb163hxvWr+Pv7o6WlRb36DZk0dRrGxsVkygS4ffYod84dIzz4x2ecS1jSqtdgKtSsD8CsXs0y3a/jgDE06ypuz0mJCZzcuZFHNy+RmBBP2Sq16DZyKroGxjL1bt+2hcsXz/P+3VtUVdWoVqMmk6ZMx7JUaUmZ2tUqZLrv5Kk2DBo6XKbsZ4+9ObJvJ29e+hIWGoKdgzP1m6QuQIqNiWGH61r+uXGZqMhIjE3M6NSzDx27/QWI62jv9k08un+H4B91VL9xc/oPH5fnOgLYvGEdZ8+cIigoCGVlZSpWqsyESVOoWq26TJm5wXPfHjzc3QgJDqZM2XLMnG1Hrdp18izvoNc+DnrtJ/BzAACly5RlxOhxNGrcFIAtm9Zz7swpvkjsqcS4CVOoUkD2FEbf4OHmyqZ1LvTuN5BpM1Pneb97+4YNa5x54H0PUUoKpcqUZamTMyamZvnSV9B1JE9djx/ex3O3B6+e+xIaEoy9kwuNm7WS5F+7fIETRw7w8rkv3yIjcN11gLJWqdfst8hIPLZu4P4/twn+EoSOri6NmrVk6OgJaGVxHWVGYd0nQP515OHmysZ1q+nTbyDTZmact+64eAFHDnkxdcZs+g4YnCvZSUlJuG/dyPkzJwkLDcHAwIgOnboyaPhoSTzymJgYtqxfzY2rl4iMjMDE1Iw/e/en2599CsQ+eSPMec87v4Xn/d69ewQGBkp+PwPg9+rVK9+yY2NjsbKqwGy7zBemrHRaxq2bN1iyzInDx07Sf+BgnBwduHzpYu71lJetJzY2luo1azFxyvQcy9y6dSu93b0lv1nHfAG49joMADUlRXwCo3C7/VGmjDFNLGlUWo+l514x9bAP6sqKLO5UniJ5uKZiY2MoX748s+fId/FfQejxeexNh25/sXzDDhau2ERychKLZo4jLjZWUubI/h0cP7CHkZNm4bR5F3r6Biy0GUtsTDQAYaHBhIUEM2TMFFzcPJk4ayEP7t1iwwr7bI5fdluIi4vDz9eXkaPHsc/rEKtc1vHxw3umTBiXrU06BkZ06D+aictcmbjMlTJVarFz+RyCPr0DYK7rYanfn+NmoaCgQJX6qYP6v93X8ezuDfpNmc/YxetIiIvFw9GWlORkmXof3L9Hrz798NjtyUbX7SQnJzF+zAhiY1IfFM9eui71W2C/BAUFBVq2aZulTfGxsZQqa8WoKbMzzXdbv5IHd28xbc4SNuw8TJde/XFd68SdG+IoBmEhwYSFBjN07FTWuXsx2XYRD+7eYp1T1tGnsrteLSwtmWU3jwOHj+O+cw9mZsUZN2o4YWFhWcrNCWdOn8JpmSMjR43F8+BRatWqzbjRIwn8/DnPMo2NTZgweRo79x5g594D1Klbn+mTJ/Dm9SuxPRaWzLSdy/5Dx9jmsRtTs+KMHzuC8AKwB+TfN/g+e8rRQwcoa1VeKt3/00dGDR2AhWUpNm3zYLfXEYaNHItKJh9pyQ3yqCN56oqLjaVMOSsmzsh8YWRcbCxVqtVg5PgpmeaHhnwlNDiYMZOms23vYWbOd+De7ZusdMj9wtHCuk/Iu458nz3lyCGvDG3uJ1cuXeDZ0ycYGcl2fGTF3p1uHD/kxVQbO3Z5HWfspGns2+3OIc89kjLrnZdz9/YN5to7ssvrOH/1HcSalY5cv3opTzoFfh9+C8+7kZGR1PayZcsoU6YMzZpl7knMDY2bNKVxk6Yy8588fkSnLt2oY10PgJ69enPogCe+Ps9o0bKVzP1yq6dTl64AfA7wz7HMmJgYwmMSJdu9a5kREBnHk8/fALj4MgSAYtqZ36g0VBRpX9EIpwtveOgv3mfZ+dfsGVyLmiV08P4UmeNjAWjcpBmNm+S/TgpDz3wn6Tc2E2ctYkj3Vrx56Uvl6rURiUScOLiXPwcMp0FTcT1Pmm3PkB6tuXbhNO26/IlFqbLMsl8pkWFavCT9h4/HZelckpOTsjh+2W1BW1ubzdu2S6XNsp3LgL69CAz8jGkW3sJKdRpJbbfvN5I7547x8aUvJiVLoa1nIJXve+8mpSvXxKCYWGZs9HfuXTpF74lzKFdN7J3qM2kuS8f04tVTb5l612/eJrW90N6R1s0b4ufrQ6061gAYGkpfw1cuX6KOdT1KlMg69m3t+o2pXb+xzPznvk9o2a4TVWuKj7d9l56c/fsQr1/4Ur9xCyxKl8V28SpJedPiJRkwYgLOS+aQnJS3OgLo8Ednqe3pM2dz9PBBXr18Qb36DbK0KTt27XCne8+e9PhT7JyYaTuHW7du4OW5j8lTc/5wn5amzaXDpY2fOIVDXvt5+uQxZcqWo33HTlL5U2fM5tiRQ7x69YK69fJnD8i3b4iJiWa+3Uzs5i/CfesWqbxN69fQsHFTJk5NjS5VPJs2lxPkUUfy1FWvYRPqNWwiM79tR3F7DvrxZiY9pcqUY9Hy1ZLt4iVKMmzsRBwX2GZ5HWVGYd0n5FlHMTHRzLOzYc58e7Zv3Zwh/+uXL6xc5sCajVuZNnFMnnT4PH1Mo2YtaNBYfK5MzYpz4ewpXvj5SJVp/0dXatauC0CXHr04fuQAL3x9aNKsZZ70FiaC4z3v/Bae97QkJCSwe/duhg0bViivXGrUrMXVK5f4+uULIpGIe3fv8OHDexo2kj2g+DdQKqJAKytDzvp9zfE+VkaaKCsWwftThCQtLCaR92ExVDLN3avQ352Y6CgAtIrqAPAlMIDwsBBq1KkvKaOsokLl6rV57vMkCznf0dDQRFGx4J6Lo75HoaCggLZ20Rzvk5KczKObF0mIj8PCqnJGmRFhPH9wG+uWHSVpAW9fkpycRLnq1pK0ovqGmJiX4sOLZznW/f27+FwW1dHJND80NIQb16/StXvPHMuURaWqNbh78yqhwV8RiUQ8eXCPz58+UMta9qeoY6KjxHWkVDB1lJiYwOEDnmhpa2NVPvPpQTmWlZCAn68PDRpK9y8NGjbi8aOH+ZL9k+TkZM6ePklsbAzVqtfIeAyJCRw55CW2xyp/9hQGK5Y60KhJM+rWl67zlJQUbl2/irmFJZPGjqR9i8YMG9Cbq5cu5EtfYdTRv6Ert0R//46GplaBXUcFibzPm9PSxZm2ORC3uwVzZzFg8DDKlC2XZx1Vq9fiwb1/+PThPQCvXz7n6eMH1G+U6lSoWqMmN69dJvireHzy4P5dPn18T90GjWRIFfiv8Otdddlw9OhRIiIiGDJkSKHom2U7B/uF82jXuhlKSkooKCgwf5EDNWvVLhT9OaVhaT20VJU45xec4330NJRJSE7he7z0lIiImET0NZQL+hB/WUQiEe4bnalYtQYWpcoCEBEWCoBuOm+1rp4+wV8CM5XzLTKCA7u20rZz/gelP4mPj2ft6lV06NgJLS2tbMsHfnjDxjnjSUpMQEVNnUE2DhQraZmhnPfVM6iqaVClXuqNICoiFEUlZTTSzWHV0tEjKiKMYsbZP9CJRCKcVyyjRs3alC1nlWmZE8eOoqmhScvWWU+ZyQkjJ81i/Qp7hv7ZDkVFJRSKKDDRZj6VqtXMtPy3yAg8d26lfZc/86372pXLzLaZTlxcLIZGRmx23Y6enl6+ZIZHhJOcnIyBgXS7MzAwJCQk59d2Zrx+9ZKhA/uSkBCPuoYGK1avo3SZspL861cvYzdrhtgeQyM2bHZDN5/2yJtzZ07x4rkv7nu8MuSFh4USExPDzu3bGDN+EhMmT+P2rRvMmj6ZjVs9JG+Fcos86+jf1JUbIiMj2LV9C5265/86kgfyPG/nzpzkxXNfPPYcyDR/p/s2lBQV6d1vYL709B88nOjvUQzo1ZkiRRRJSUlm5NhJtG6X6nCZPMMOpyUL6PlHKxQVlShSRIGZcxdRrUatfOkuLIQ573nntxu8u7m50aFDB8zMZE8fiI+PJz4+XiotKZev9n6yb88unj55jMu6jZiaFueB9z0cHRZhaGhE/QayvXuFTfuKxtz7EEFYmmk0eUVBAf4/vrsrxnXNMt6/ecXSddszZqbrW0Rk3uHERH9nie0kSliUpvfgUQVyXImJicy2mYZIJMJ2Xs7mlhqZmTN5xTbiYr7z9M41vNYvZfSitRkG8PcvnaZmk9Yoq2Q/91ckEuW4k12+dDGvXr3AzWOvzDLHjh6iwx+dUM3nvGOAE4f28dL3KXOXumBkYorP4wdsXu2InoGh1FsTENeR/exJlLQoTZ8h+a8j67r12H/oCBHh4Rw+eICZM6awa68X+ukGDHkh/fnOTR3IwsLSkr1eh4mKiuLShXMsnGeLq9tOyQC+jnU99nodJiIinCOHDmBrMxWP3Z4FYo88+BIUiLOTI2s3bc20LaWkiDuxps1b0negeLGgVYWKPH38iMMHPfM8eP+JPOroV9CVHdHfv2M3dTyWpUozeMTYf+UYckpBn7fUNrct0zbn5+vD/r272LXvUL7r59L505w7fYL5DsuxLF2W1y+fs855OQZGxnToJJ5me3D/bnyfPsFx1XpMTE159NAb5+UOGBgYUacAprsJ/Lr8VoP3Dx8+cOHCBQ4fPpxlOUdHRxYtkl6Q1qxZM3L7nbm4uDjWrXHBec06mjRtDoBV+fK8ePGcXTu2/zKDd2NtFWqW0MH+zMtc7Rcek4iKYhG0VBWlvO866sr4BH0v6MP8Jdm6djn3bl1jyZptGBqlRnPR1RcPWCLCQtE3SJ2vHRkehk46b3xsTDT2syagpq7B7MWrUFLK/1uLxMREZk2fSoC/P67bPXLkdQdQUlbG0LQEACXKVMD/zXNunDpIz9Gpc37f+T0m+PNH+k2VfiDQ1jUgOSmRmO9RUt736G8RWJSvAmT9YOjkuJhrVy6x1X03xUxMMi3z0Ps+H96/Y9mK1Znm54b4+Dh2bV2HrYMz1g3E83lLlbHi3esXHPHcJTV4j4mJZqHNeNTV1bFzcC6QOlLX0MDc3AJzcwuqVa9Bl47tOHL4IMNH5v1Lt3q6eigqKhISEiKVHhYWioGBYb6OV1lZhZLmFgBUqlwFX5+n7NuziznzxX2luoYGJc0tKGluQdVqNejeuR3Hjh5i6PCCeRgtaJ77+hAeFsqQfqmBC5KTk3n44D4HPfdy5bY3ikpKlCpTRmo/y1KlefzwQZ71yrOO/k1dOSEmOppZU8agrqGO/fI1BXIdyQN5nTc/Xx/CwkIZ3C/1jcPPNnfAcy8TJk8nPCyULh1aSuWvcXZi/56dHDud80AXG9esov/gEbRqK/a0lylrRVBgIHs8ttGhU1fi4+LYunENS1askcyLL1OuPK9fPmf/bo/fYvAuON7zzm81593d3R1jY2P++OOPLMvZ2toSGRkp9WvSRPZiHVkkJSWRlJSIgoL0aVIsUoSUlJRcy5MX7SoYExGbyD/vw3O138vgaBKTU6hVMnVusr6GMpb6GvgGRhX0Yf5SiEQiXNcs4871S9g7b6GYaXGp/GKmxdHTN+Tx/TuStMTERHwee1OhcjVJWkz0dxbajENJSRm7JatRyYEnOzt+Dtw/fvzA5m3u6OrmfeqCSCQiOVF60H3v4imKly6PmWVZqfTipa1QVFTi1ZN7krRv4aEEfXz3Y/AuW8fypfZcuniezds8KF6ihMyyR48cpGKlyvmeGw6QnJREUlISRdLdAYoUUUSU5vqMif7OguljUVJWZu5Sl3xHGpGJSERiQu5DrKZFWUWFipUqc+fWTan0O7duUb1G5lOB8opIJJ7fnlV+Qj7tkSd16jVg78Fj7PI8LPlVrFSFdh07scvzMCoqKlSqVIUP799J7ffxw/t8hYkszDoqTF3ZEf39OzMnjUJZWRmHlevkdx0VAPI6b9b1GrDv4DF2ex6W/CpWqkL7jp3Y7XmYP7p0Y++Bo1L5RkbGDBg8jLWbtmWvIA3x8XEUSRf2TbFIEVJE4r4t6Uf/l358UqSIoqSMwH+X38bznpKSgru7O4MHD0YpmwUyqqqqGV5pydonJiaaTx9TQykGBPjz4rkfRXV0MDU1o3Yda1ycV6CmpoqpaXG879/lxN/HmGaTeeg6WWSnJzIygqDAQL5+FS84ff9OfMMxMDTMEKkjLQpA24pGnH8eTEq6qS7aqooYaatioKkCQElddUDscQ+PSSQmIZkzfsGMbmjBt7gkouKSGNXIgvdhMTz0z12kGRB7ZT6mtdHfn+d+fujo6GCaxTSnf0OPq8syrl08ja3DatQ1NAgPE3toNDS1UFVVQ0FBgU5/9uPgnu2YljDHtIQ5h3ZvR1VNjaatOwBij/sim3HEx8cxxc6BmJhoYn6EkSyqI3vAnVVbMDIyxmbaZJ77+rJmw2ZSUpIlczR1dHRQVlaRKffMXlfK16yHjoEx8bExPL55ibc+jxg2x0lSJi4mmid3rtBpUMbQk+qaWli37MjJnRvR1NZBXUubkzs3YWJemnJVa/P0XeYLvZYtsefM6RM4r9mAhqam5Hi1tLRRU1OTlPv+/TsXzp1l6oxZMm1IT2xMDIEBnyTbXwIDePvqBdpFi2JUzJQqNWrjvtkFFVU18bSZR95cPnuCYeOnAT8ikcwYR3xcHNPmLiEmOpqY6B91lMVDUVZ1pKujyzbXzTRr0RJDIyMiIyLw2r+PL1+CaNOufY5tk8XAwUOZM3smlapUoXr1mhw64ElgYCC9euc9dvOGtatp2LgJxYqZEhMTzdkzp/C+f5e1G12JjYlh+7YtNG3eAkNDIyIjIzjguY+vX4Jo3aZdvu0B+fQNmpqaGRYEqquro6OjK0kfMGQYc2ZOo2atOtS2rsudWze4ce0KG7d55NkWkE8dyVNXbEwMAf6p5z/wcwCvXz5Hu6gOxUxM+RYZydcvgYQEi+8/PxdJ6hsYom9gSEx0NDMnjSY+PhbbRcukriOdXDoXCus+IY86Erc56bU8qW1OnJ7e2aKkpISBgSEWlqVypath4+bsct9KMRNTLEuX5dULPzz37qRjl+7iY9HSokatOmxauwpVNVWKmZjx+MF9zp46zoQpNnm2sTAR5rznnd9m8H7hwgU+fvzIsGHDClSur88zRg5L/XjCqhXLAOjcpRv2S5axbIUz61ycsZttw7fISExNzRg/cQq9/spdB+D7LJ0epx96uor1XL18iQVzU2PwzrYRDz5Gjx3PmPETZcqtVVKHYtqqnM1koWr9UvrYtEp9ZTynnfiGtuuuP7vuiUNSbr7xnuQUC+a2K4eKYhEe+X9j/sUXGR4EcoKPzzNGDB0k2V7p5AhAl67dWbx0We4FylHPmePixUbzpo6USp84ayEt23cBoHufwSTEx+HqsozvUd8oV7EKC1ZsRF1DE4A3L/146SeOwjJuQFcpOVv2nZCpO6u2MGbcBK5eFsfo7fNnN6n9tm7fQZ269WTKjYoIx3PdUr6Fh6KmoYmpRRmGzXHCKk30mMc3L4JIRPVGmYc57TRkAkUUFdnjvFD8kaaqtfhrvCNFFBVl6j3otQ+AUcMGSaUvWLyULl17SLbPnTmJCBHtOmT95iwtr1/4MmdKah25bRCHfWzZvjNTbO2xmb+Mna7rWOVgx/dv3zAyMWXAiPF06CqeSvHmhR8vfZ8CMLpfFynZW/eflKk3qzqaM38R79+94+/jk4gID0dHV5fKVaqyfceefEWX+En7Dh2JjAjHddNGgoO/UracFRs2u2JmVjz7nWUQGhrC/DmzCAkORktLm3JWVqzd6Er9Bo2Ij4/n/bu3nDh+lIgIsT2VKldlq/vuArEHCq9vSE/zlq2ZNXcBO9y24uy0FHMLSxxXulCjZv4CDsijjuSp64WfD9PGpd47N7msAKDdH12YNX8Jt65fxmlx6jcNFs8VD/4GjRjLkJHjePncF78fUbYG9uxIWvYeOZMrewqrLRRmHcmDKTZ2bNu8DuflDoSHh2FoaESXHr0YkmadwYIlK3Hd4MLiebP59i0SExMzRo6dRNeevf/FIxcoDH6bwXvbtm0RyWEVZR3rejx8+lxmvqGhEYscHPOvp249Hj6TradLtx506dZDZr4svD9F0nbDnUzzzj8P5vzzrFfWJyaL2Hj9PRuvv8+17vRY163HY58X+ZZTGHqOXM5+zquCggJ9hoyhz5DM4/RWqVEnR3LSk11byCovK3qNy96jXa9NF+q16SIzX1lFla7Dp9B1+JQc6/V+krPj7fFnb3r8mbubStWadTh+VXZoNz0DQybbyv7gUnb7yyK7Olq1Zl2uZeaG3n3707tv/wKTN3/REpl5qqqqrFgtX3sKq2/Y5LYjQ1qXbj3p0q3gIkD9pKDrSJ66atS25tI/T2Xmt+/UjfaduuV5/9xQWG0BCqeONrvtzDI/N/Pc06Khqcmk6bOZNF32W34DQ0NsFzjkSf6vgOB4zzu/1Zx3AQEBAQEBAQEBgf9nfhvPu4CAgICAgICAwH8DYc573hE87wICAgICAgICAgK/CYLnXUBAQEBAQEBAoFARPO95R/C8CwgICAgICAgICPwmCJ53AQEBAQEBAQGBQkVwvOcdBZE84i/+gixaJDucnICAgICAgIDAf5kFCxb824cgRXOXW3LXcWVKQ7nr+DcQps0ICAgICAgICAgI/Cb8X02bmWkn36dOp6Vi776N3Xy56gFYsdQegDflustVT5lXRwCYNUe+5275kkWFqmfAuJly1QOwe6MTAFNnzcumZP5YvXwxAEMmyP6YR0HgsV789cPImvL9ep/OQ08Ahk6Urz0A7uvENhVW31BY7Xvc9Dly1bNxlfijT/K2B1JtmjBDvjatX1k4NhV2Xzdttnz7HwDnZeI+6L927mbYyvdevtJRfB+Xd/8DqX3Qr4QwbSbvCJ53AQEBAQEBAQEBgd+E/yvPu4CAgICAgICAwL+PECoy7wiedwEBAQEBAQEBAYHfhF/e856UlMTChQvZs2cPQUFBmJqaMmTIEObOnUuRIgX/7JGUlMTmjes4dfJvQkNCMDQyokvX7owcPS5f+rzv32Onuxu+vj6EBAfjvGY9LVq1BiAxMZGN69Zw4/pV/P390dLSol79hkyaOg1j42JZytVTV+KvGqZUN9NGWbEIQVHxuN3x5314LIoK0LO6CdXNtDHWUiUmIRmfL9/xehRIRGwSAIaayjh3rZip7HXXPxD2Knd2eu7bg4e7GyHBwZQpW46Zs+2oVbtO7oQUkq6nj7w5tHcHr1/4ERYazNylzjRs2lKS77xkHhdO/y21T/lKVVntuguAL4EBDO31R6aybe2dZOo96LWPQ177CfwcAEDpMmUZPnocjRo3BcC6eub1MWnqDAYOGS5T7pOH9zmw14NXL/wICwlmgaMLjZql2rNz20auXDhD8NcglJWVKVe+EkNGT6Ri5WoZZIlEIuZMH8f9OzczyGlX3pB25Q2lyn+LS2LhudeSbWMtFTpVMqKMgQYKCvDlWwI7vAOIiE1CQ7kI7cobUd5YA101ZaITknkWFMXp5yHEJaVktGmPBy9/2LRwWeqxJCUl4r5lPXdvXSfosz8aWtrUqlOP4eOmYGhkDEBQYAADe3TI9HzNdVgp81ymR179giwK+jr6s1MbggI/Z0jv3qsP02fPw23LBi6ePc3XL0EoKStTvmIlRo2bTOWqGdtGXvC+fw+P7W74+T4jODiY1Ws30PJH/5cfgr9+YcMaZ+7cuk58fDzm5hbYzl9MhUqVJWXev33DxrXOPHxwH1FKCqVKl2Xx8lWYmJrlS/fv1Nel56DnPg6m64NGjB5HoybiPkgkEuG6aQNHDnkR9e0blatWY5bdPMqULfdL2lNYerZv28KlC+d5/+4tqmpqVK9ek0lTp2NZqjSQei+/ef0q/gFp7uVTpmGUzb08Ozq0bSmpr7T81acfdnN/rSgyOUVwvOedX37wvnz5cjZv3syOHTuoXLky9+/fZ+jQoejo6DB58uQC1+futpWDXvuxX7KcMmXL4uvzjAVzbdHS0qb/wMF5lhsbG4tV+Qp06daDGVMnSeXFxcXh5+vLyNHjsCpfnm/fvrFyuSNTJoxjr9chmTLV1NSY26Ysfl++s/LKO77FJYkH6YnJAKgoFcFST51jz77yMTwOTRVF+tc2ZWpTSxacFQ+0QmMSmXjYV0pu87L6/FHRiCeBUZTIhY1nTp/CaZkjc+YtoEbNWhz02s+40SM5cvwkpmb5u1HKQ1dcbCylylrR5o+uLJkzPdMytes1Yqpd6kIfZWVlyX9DYxN2H7sgfVzHD3Fwrwd16jfmw/NHmco0NjZhwuRplChpDsDJv48xY/IEdnseokzZcpy+eE2q/K0b13FYOJcWrdtmbU9cLKXLlqfdH92wt5uWIb+EuQUTptthalaC+Pg4DnvuwnbKGDy8TqCrpy9V9rDn7ixfaQZ+i2fz7Y+S7ZQ0AWcNNJSZ2NiCfz5GcPZ5CLFJKRTTUiEpWVyoqJoSOmpKHPcJ5ktUPHoayvxZzYSiakrsuC89wIyLi6V0ufK07dQNe1tpm+Lj4nj9wo8BQ0dTupwVUVHf2OTixPyZk9jovh8AI2MTPE9cktrv5NGDeO1xp26Dxrz1fZDFGU1FXv1CZsjjOtq6y5OU5GTJ9ts3r5k6bgQtWrcDoKS5BVNnzcGseAni4+Px2rOTaeNHsv/YafTStY28EBsbQ/ny5enavQfTp0zMtzyAb98iGT10ALXq1MV53Wb09A0I+PQJLW1tSRn/Tx8ZM3wgnbv2YPiYCWhpafH+3VtUVFXzpft36+vSY1zMhAlTplHyRx904vgxpk+ewB4vcR+0w30be3d5sGDxUswtLHHbupnxo4dz6PhpNDU1fzl7CkuP9/17/NWnH5WrVCU5OZn1a1czbvQIDh09gbqGBnFxcTz382VE2nu5kyNTJo5jj6fse3lO2LP/ICkpqdfw61evGDNyKG3ats+XXIHfk19+8H779m26du3KH3+IPZyWlpbs27eP+/fvy0Xfk8ePaN6iFU2bNQegePESnDl1El+fZ/mS27hJUxr/8GqkR1tbm83btkulzbKdy4C+vQgM/IypDA9Ro0aNCItJZNs//pK0kOhEyf/YxBScLr+T2mfX/c8sal8OAw1lQmMSEYkgMi5JqkydEjr88zGS+HRe0OzYtcOd7j170uPPXgDMtJ3DrVs38PLcx+SpmQ+O80pB6LJu0BjrBo2zLKOsooy+gWGmeYqKihnybl27RNOW7VDX0JAps2nzFlLb4yZO4ZDXfp49eUyZsuUwNDSSyr925RK1retRokTJLI+1boMm1G3QRGZ+y7bSbwlGT7LhzN9HePfmJTXr1Jekv3n1gkP7d7LebR99OrdMLwaAFJGIqPjkTPM6VjTC78t3TvgGS9LCYlLbZVBUAh73Uz1IoTGJnPYLpn8tU4qke17IyiZNLW2Wr3WVSpswzZYJw/vxNSgQYxPTTOvo5tVLNG/VPss6So+8+oXMkMd1lH4AvttjG8VLlKRmbWsA2nboJJU/cdpMThw7xJtXL6lTtz75pXGTZjRu0izfctKy28ONYsVMmLtoiSTN1Ky4VJktG9bSoFFTxk+ZIUkrns11lBN+t74uPen7oPGTxH3Q0yePKV2mLPt272ToyNG0/OEwWOSwjLYtGnPm1Al69spftKnCOnfy0LNh8zap7UWLHWnVrCG+vj7UrmONtrY2m7ZmvJcPzOZenhP09aWv4e3bXClZ0pw61nXzLPPfpojges8zv/yc98aNG3Px4kVevnwJwOPHj7lx4wYdO3aUi76atWrzzz93+PBePOh98fw5Dx9407hpwd54siPqexQKCgpoaxeVWaZ8+fK8C4thQmNz1veoxOL25WheJmsvmYayIikiEdEJmQ+8LPXUsdBX5+qbsFwdb2JCAn6+PjRoKD0YbtCwEY8fPcyVrF9J19OH9+nbqQUj+nRhzfJFRITLPi+vnvvy9tUL2nbqlmP5ycnJnDt9ktjYGKpWr5EhPzQ0hBvXr9K1e888HL1sEhMTOXXsIJpa2pQuW16SHhcXi+OCWUyYZifzoQXAUFOFBW3LMKdVaQbWNkNfQ/xGQgGoWEyT4OgERtUvwaJ2ZZncxIIqJlpZHo+achHiklKkPPh5Ifr7dxQUFNBM431Ny8vnvrx59Zz2nXMXYrWw+oXCaNuJiQmcO3WCP7r2yPTtSmJiAscOH0BLS5uy5cpnIuHX4MbVy1SoVJk5M6fSsVUTBvftybHDByT5KSkp3L5xFXMLC6aMG0nHVk0YMagPVy9fzJfe/1pfl5yczNkffVC16jUICPAnNCSE+g0aScqoqKhQq7Y1T/Kps7DOXWHpifoeBYCOjo7MMt+jsr+X55bExAROnThO1+49hUWf68gwPgABAABJREFU/6f88p73WbNmERkZSYUKFVBUVCQ5OZklS5bQt29fuegbOnwk36Oi6Na5g0TfhElT6dCxU/Y7FxDx8fGsXb2KDh07oaUle9Cjp6dHS/0inHkewt8+byltoMGA2mYkpqRw811EhvLKRRT4q4YJt99HZJhb/JNmZfQIiIzjdUhMro45PCKc5ORkDAwMpNINDAwJCQmWsVfeKCxdtes3pnGLNhibmPHlcwC7tm3AdtJI1rrtQ1lFJUP5cyeOUNKyNJWq1shW9utXLxk2sC8JCfGoa2iwYvU6Spcpm6HcyeNH0dTQpEWrNgVhEnduXmXp/JnEx8Whb2DEMpct6OjqSfI3r1lBparVadi0hUwZH8Jj2fcwkODvCWipKtLGypBJjS1wuvwWxSIKqCkp0rKsAaefB3PCN5gKxpoMsS7OplsfeRMam0GehnIR2lgZcvtDRL5sS4iPZ9smF1q27YimZubXzZm/D2NuWZrK1WrkSnZh9QuF0bavXb7E9+9RdOzcTSr95rUrLLSbQVxcHAaGRqzeuBVdPb3MhfwCfA7w58hBT/r0H8ygYaPwe/aU1SscUVFRoUOnroSHhRITE8MudzdGjZvIuMnTuHPrBnYzJrPe1V3y1iG3/Ff6utcvXzI0bR/kIu6Dfg5uDdI9vBsYGBCYybqJ3FBY564w9IhEIpxXLKNGrdqULWeVaZn4+HjWuqyifTb38txy6eIFoqKi6NJNvt95kTfCc0fe+eUH756enuzevZu9e/dSuXJlHj16xJQpUzAzM2Pw4MznmsbHxxMfHy+VlpSUlGnZ9Jw9fYqTJ47juHwVZcqW5cVzP1Ysd8TI2JguXeV/oSQmJjLbZhoikQjbeVkvQlFQUOBDWCwHHwcB8CE8juI6arQqZ5Bh8K6oAOMamaOgoMCOexkXvQAoKypQ31KPY8++5Pn403sBRCKR3DwD8tbVrFU7yX/L0mUpV6ESQ/7swN3b12nUrJVU2fj4OK5cOE3fwaNyJNvC0pI9XoeJiori0oVzLJxnyxa3nRkG8MePHqZ9x06o5nOO7k+q17Jm044DfIsI59TxwzjMm8HarXvQ0zfg9vXLPPK+yyYPryxlPP8anboRBR/CP2HXqgzWJXV4GCD2RPkERXHtbTgAn7/FY6mvTgMLvQyDd1WlIoysV5IvUfGcfRGSZ7uSkhJZMn8mopQUJtpk/jGf+Lg4Lp07Tf+hOaujtBR2vyDPtn3y2CHqNWwsWdT7k1rWdXHfd4iIiAj+PnKQ+bOn47pjH3r6BjIk/bukpKRQoVIVxkycAkD5ChV5+/Y1hw940qFTV1JE4tc4TZq3oM8A8b3CqnxFnj1+xJGDnnkevP/kd+/rLEpZsvdAmj5ori2u23em0SldXiQSoUDB2FdY506eepYtWcyrly/YvmNvpvmJiYnY/ryXF/CC0qOHD9GocdNsA1oI/Hf55afN2NjYMHv2bPr06UPVqlUZOHAgU6dOxdHRUeY+jo6O6OjoSP2uX7+eI32rVzkxdMQo2nf8g3JW5enUpRsDBg1m+7YtBWWSTBITE5k1fSoB/v5s2uqW7ZN6VFQUAZHSDymfI+PQ15D2CisqwPjGFhhpqeB06a1Mr7t1SR1UFRW4+S4818eup6uHoqIiISHSA7CwsNAMHpz8Upi60qJvaISxiSmfP33MkHfj8gXi4+Jo1T5nnlhlZRVKmltQqXIVJkyeRjmr8uzfs0uqzMMH9/nw/h1de/xZIMcPoK6uQfES5lSsUp3pdotQVFTizAnxV3Qfed8lMOAT3ds1on2TmrRvUhOAxXOmMWP8MJkyE5JFBEbFY6ilQnRCEskpIoKiEqTKfI1KQE9D2legqliEUfVLEJ+cgvu9gDxPmUlKSsRhjg1BnwNYvtZVptf92uXzxMfF0qZD51zrKKx+Qd5tOyjwM/fv3qFzt4xtSl1dgxIlLahStTq28xejqKjIiaOH861TXhgYGlGqdBmpNMtSpfkSFAiArq4uikpKWKYrY5GmTF74r/R16fsgK6vy7NuzCwNDsdyMOsPQN8jfg1xhnTt561m+dDHXrlzC1W0nxUxMMuQnJiYye8ZUAgL82eia/b08N3z+HMA/d27RvWfB3Rf+LRQUFOT++6/yyw/eY2JiMoRiU1RUJCVF9mJKW1tbIiMjpX5NmsheyJeWuLi4DIsoihRRJCW/k3Gz4efA/ePHD2ze5o6ubvavqz99+oRpUWmPrElRVUKjUwdOPwfuJtqqLL/0lu8y5roDNCujz4OAbzIXImaFsooKFStV5s6tm1Lpd27donqNmrmW96voSsu3yAiCv37JdC74uRNHqNe4OTp5jMwhEkFCovSA99iRQ1SsVBmr8hXyJDOnihMTxHp7DxzO5p0H2eThJfmBeGHr9Dn2MkUoFlGgmJYKUXFJJIvgY0QsxlrSD5BGWiqEp1m0qqpUhNENSpKcAm53/UnK4/X1c+Ae4P+B5WtdKaqjK7Psmb+P0KBJ8wyRdXJCYfUL8m7bJ48fQU9PnwaNM188nxaRSJShTf5KVKtRk4/vpRfkf/rwXhICUllZhYqVqvDx/XvpMh8/5CtM5H+1rxOJxHPFixcvgYGhIf/cviXJS0xM4IH3ParlU2dh2SMvPSKRiGVL7Ll08Txb3DwoXiJjPLafA/ePHz+weWvO7uW54diRw+jrG9CkafMClSvwe/HLT5vp3LkzS5YswdzcnMqVK/Pw4UOcnZ0ZNky2J1BVVTXDNAMlpZyZ2rR5C7Zt3YyJqZn49bifH7t3uud7wWBMTDSfPqZ6bAMC/Hnx3I+iOjoYGRljM20yz319WbNhMykpyZJ5eTo6OigrZ5xfDXDnzh2GDq9C50pG/PMxkjIGGrQoa8D2u+LoM0UUYGITCyz01HG++p4iCgroqInPw/eEZJLTDDyMtVQob6zJqivvMtWVEwYOHsqc2TOpVKUK1avX5NABTwIDA+nVu0+eZcpTV2xMDJ8DUuvkS2AAb149R1tbB+2iOuzZvplGzVuhb2DIl8DP7HBdR1EdXRo0k47A8tn/I88eP2DRivU50rth7WoaNm5CsWKmxMREc+7MKR7cv8vajamRU75//87Fc2eZMn1m7uzxT7UnKDCANy+fo11UB20dHfbt2EqDxs3RNzDi27cI/j7sSXDwF5q2FEeU0DcwzPTBxLiYKaZmqTepzpWM8P3ynfDYJLRUxHPe1ZSKcO9TJABXXocxsE5x3obG8Do0hgpGmlQqpsXGW+JjU1Uswpj6JVFWUmDP3c+oKRXhR7Pke7oHx9iYGALS2vQ5gNcvn1O0qA4GhkbY203n9Qs/Fq9cT0pKCmGhYk+bdlEdqbCeAZ8+8vSRN0tWbcjx+UyLvPqFzJDXdZSSksKp40do36mrVH8YGxvDTjdXGjVrgaGhEZERERw5sJ/gr18koSTzS0x0NB/T9n/+/jz380NHRyfPYft69x/E6KED2OHmSqs27fD1ecqxwweZNXehpEz/QUOZN3s6NWrVpnaduty5dYOb166w3tU9X/b8bn1dejas+dEHmZgSEx3N2TOn8L5/l7WbXFFQUKDvgEG4u7libmFBSXML3Le5oqamRvsCWONRWOdOHnqWLbHn9KkTrF6zAQ1NTcl9WktLGzU1NZKSkpg5bTLP/cT38uQc3stzSkpKCsePHqZz1245HtP8yqSPLiaQc3752l+3bh3z5s1j3LhxfP36FTMzM0aPHs38+fPlom+23Vw2rFuDo8MiwsJCMTIypmev3oweOz5fcn2fPWPksNQ5+quclgHQuWs3xoybwNXL4ljUff7sJrXf1u07qFO3XqYyP3/+zNpr7+lVw4SuVYsR8j2BPd6fuf0+AgB9DWVqlRCvgl/SUXpBzdILb6TmLjcto094TCLPAr/n2cb2HToSGRGO66aNBAd/pWw5KzZsdsUsXfi2gqAgdL167sPsSSMl21vXrQKgdYfOjJ8xh/dvX3HxzN9Ef49Cz8CI6rXqMHuRExoa0nGOz508ioGRMbXqNsiR3rDQEBbMmUVIcLA4ooeVFWs3ulIvTXSHc2dOIUJEuw6ZfwQqM14+98FmQupHnLasXQFAm45dmGwzj08f3nP+1HS+RYajraNL+QqVcd7ogWXpjAtls0JXXZkBtc3QVFEiOj6JD+FxrLn+gfAfH/56GvSdg4+DaFXOgO5Vi/H1uzg05Lsw8Xz3ErpqWOirAzCntfSUhsXn35D2ndrL5z7MGJ9q0+Y0Ng0aMZbb168AMGZQLyk5Kze4Ub1W6pzmMyeOYGhkTO16DXNl60/k1S9khryuo/v/3OZLUCB/dO0hlV6kiCIf3r/j9IljREaEU1RHl4qVq7BhW8Y1GHnFx+cZI4YOkmyvdBJPe+zStTuLly7Lk8xKlauybOUaNq13wX3rJkzNSjB5xizapRlgNmvZmpl2C9jpvpXVKxyxsLBkyQoXqtesnS97fre+Lj2hYSHMT9MHlbOyYu0mV0mEmcFDRxAfF8+yJfZEfftGlarVWL95W75jvMvLnsLSc8BzHwAjhw2SSl+4eClduvXg65cgrl7J/F7uun0Hdawzv5fnlDu3bxEY+JlucnAaCPxe/PKDd21tbVxcXHBxcSkUfZqaWsycPYeZszNf9JZX6tStx8Nnz2XmZ5WXFY8+R/Hoc1SmeSHRiQza+yRHcg4+DpIsfM0Pvfv2p3ff/vmWUxi6qtWy5tSNRzLzHZw35UjOkNGTGDJ6UvYFfzAvTVxqWfT48y96/PlXjmWCeDHquVuy63uB4+pcyQMylbfLO/uIE3c/RXL3hyc+PW9CY5h2XHZ7Txt0rXota87flm1TVnlpGT52MsPH5v2jbvLqF2Qhj+uoboNG3PD2yZCuqqrK0pVrClRXeqzr1uOxz4sCl9uoaXMaZTN9oFO3HnTq1iPLMnnhd+rr0jM/mz5IQUGB0eMmMHrchALTmZbCOncFrefB06zv02bFS2RbJj80bNSYR88K/jr6t/gvz0mXN7/8nHcBAQEBAQEBAQEBATG/vOddQEBAQEBAQEDgv4XgeM87guddQEBAQEBAQEBA4DdB8LwLCAgICAgICAgUKgX10a//RwTPu4CAgICAgICAgMBvgoJIJJLv14d+ERYtWvRvH4KAgICAgICAwL/CggUL/u1DkKKL6z256zg+yjr7Qr8hguddQEBAQEBAQEBA4Dfh/2rO+/TZ8vmw009WLRN/Qt7GVr56AFY4inV9qdorm5L5o9jTAwDMmiPfJ/blS8RvRmbayVeP01KxngFjc/7l0ryye5MTADZ28m0PK5aK20KT3vKJyfyT657iL8jOkHP7XvmjbVfoMkKuegCeH98GyP+a/Xm9FtZ1NG32PLnqcV62GJC/PZBq0ySbuXLVs3aFA1B4dVRYeoZPspWrHgC3teKPbv3Xzl1h9QtjptrJVQ/A5tVL5a4jtwhx3vOO4HkXEBAQEBAQEBAQ+E34v/K8CwgICAgICAgI/PsIjve8I3jeBQQEBAQEBAQEBH4TBM+7gICAgICAgIBAoVJEcL3nmd9i8B4VFcW8efM4cuQIX79+pWbNmqxZswZr6/yFANq+bQuXL57n/bu3qKqqUa1GTSZNmY5lqdKZll9iP5/DB72YbmNLv4GDc6XL+/49dnq44evrQ0hwMM4u62nRqrVUmbdv3/A/9s46rKqkDeA/GgSlEVARFLAVu7u71l67uwNblBAUW5QQbLF17Y5d3VWxxW5SWjrv98fVC1c6Lu76nR/PfR7OnDnvO+/UmTPnnTkb1q3h/r27pKWlUdHcgtVr1mFkZJylzJYtW9KqVVWpsKiEFKzPvAJARUGOntVLU8u4JOrKCoTHJnP1bTg330dkKW9yExOqGWqw/fZnHgVG58u+7zZ67fDgue9TQkJCWLdxC21+sLEocNmyie0um6XCdHX1uHz9r3zJefLQhyP7d/Lm5XPCw0JYbOtMkxZtpOJ8+vAOz20bePLQB1FaGiZmFbG2ccSgtBHRX6PY4+HC/bu3Cf0STClNLRo3b83QMZNQ1yiZrV6fe3fZ5ZmhLmyQrguXL17gyCFvnvs+IzIykgOHj1GpcpVc7bl+9ig3zx4j7EsgAEYmZnQZMIrqdRuTmpLCyb3beepzm9CgANRKaFC5Vj16DZuIlq6+RMberat58eguUeGhqKiWoELl6vQePgnDsqbZ6t3hvp0rl761I1VVatWqzbSZ6e0oOTmZrZs28NfN6/j5+6GhoUHDRk2YNmMW+gals5V758IJ7l76g8iQIAD0y5rSqs9QLGs3BCAmMpwL+9x4++QeCbExlK9Sk64jpqJrVFYiIzzIn/N7t/HxxVNSU5Ixr1WfriOmoqGlk2Ne5tZely5awB8nj0tdU6NmLXbt9c5Rbl7x3r8XL08PQkNCqGhuwbwFC6lTt16B5Xm6u2bq66bOmI2pmZkkTlxcLJvWO3P9ymWioiIxMi7DwMG/89uAQYWyxcNtO5cvXuD9t/phZVWbGbPmZNvP5hW3bZvx2L5VKkxHV5czl24CYnu2blzH9auX+RoViaFxGfoP/J2+/QcWSu93irqMZKnr8YN7eO/x4vVLX8JCQ1ixej3NWraVnL959RKnjh/i1QtfvkZFsn3XIcwtK2eS8+zJQ3Zs28SLZ09QUFTE3KIS9utcit2en6lHFvfyrIiLjcV92yZuXrtMREQ4FpaVmTZ7AVWq1QBAJBLh6baVP44dJjr6K1Wr1WDmvMWYVTQvlH0C/w3+E24zY8aM4eLFi+zevZsnT57QoUMH2rVrh7+/f6Hk3r93l34DB+O1x5utrjtITU1h8oQxxMfFZYp79colnj55jL6BQYF0xcfHY2lZmQULs94F4vPnT4waNhgzswq47diF9+ETjB0/ERVllRzlBkQlsOD0S8nP9tJbybm+NQ2pWloDr7v+2Fx8y+U3YfSvZUhNI41MctqY6yCicFv+x8fHUalSJRYskv1uOxXNLbh07U/J79CxP/ItIyEhHjNzSybOXJDl+UD/z8ydPJKyJqas3ujOZq+DDBo+FuVvZRIWGkJYWAhjJs9i685DzFxow71//mK9Q87fFIiPj8eyUvZ1IT4+nlq16zB1xux82aOta0CvYRNZsHYHC9buoFKNumyzm0/Ap3ckJSbw6e0ruvQfibWzJ+Os7QgO+IyL7XwpGSYVKzFs2iKWbd7P1OXrEIlg47KZpKWmZqvX595d+g8czM693ri47iAlNYVJ49PbUUJCAi+e+zJm/CT2eR9hzbpNfPz4gRlTJ+VoTyldfdoPGsN4WxfG27pQoVpt9q9ZwpfP7xGJROxbu5SILwEMnrOSiQ7b0dIrjZftHJIS4gFISohnp908QI6RS9YyZsVGUlNS2Ou0iLS0tBx159ZeAZo0bc7Fqzclv01bt+coM6+cO3sGRwd7xo6biPfh49SpU5dJ48cSGBBQYJnf+zrPPQfY4upBamoKUyaMlurrnB0duP3Xn9jYO3Lo+GkGDx2Ok4Mt165eLpQ99+7eYcCgIezef5Dtbp6kpKYyYexo4rLoZ/NLhYrmnL54XfLbe/CE5Nz6Nav5+9ZNltuuZv/RUwwaMgxnR1tuFNIekE0ZyVJXfHw8FS0smTo7611NEhLiqVbTijGTZmQr49mTh1jPmEi9ho3ZsmMfW3fsp2e/QcjJ528YUVx5Jys9srqX/8jqVUu5989tFq2wx2v/Meo3asKsyWMJ+RIMwL5dOzi4bxcz5i7E1esAOrp6zJoylrjY2ELZV5zIycn+96vyr595j4+P58iRI5w4cYIWLVoAsHz5co4fP46LiwurVq0qsOzN29yljpfb2NOuVROe+z6jTr30Wf0vwcE42q1k8zZ3pk8ZXyBdzZq3oFnzFtmnZeN6mjVvyYxZcyVhZcuVy1Vuqgi+JmY9sKqgo8Y/nyJ5HSq+Sf71IZLmZtqYaKvxODBGEq+MpgptzXVZffUdDl0r5dWkTDRr3pJmzVsW+Pr8oKCggJ6efu4Rc6B+o2bUb9Qs2/M7XTdTr1EzRk+aKQkzMk6f1TWtYM7iVWvTz5Upx/BxU3BauYjUlJRs5eZWF7r16AlAgL9fnuz4Ts0G0rb0HDqBG+eO8f7lM4zbV2C6zQap8wPGzWT1nDGEhwSho28IQPOOvSTndUsb0eP3cdhOHyaZzc+KLT+0oxUr7Wnbsgm+vs+oW68+JUuWxMVth1Sc+daLGTqoH4GBAdnORlWu20TquN3A0dy9eJLPr58jr6CI32tfpjh5YFBOPHvcbfR0Vo/ry5NbV6jbpiufXj4lMiSYiQ6uqJZQB6D3hHnYj+nJ+2cPqFijbrY25VZGAMrKyoWug1mxe6cnvfv2pc9v4m1g51kv4tatPznovZ/pM/P3QPedTdvcpI6X2djRvlVTqb7u8aOHdOvRk3r1GwDQ57f+HD3kzfNnT2nVum0mmXnFxdVD6thmlT2tmzfm+bf6URgUFBTQzaYMnj5+SJduvahbT2xPr779OXbkIM99n9GiEPaAbMpIlroaNmlOwybNsz3fvnN3AIICsp8Qc1nvRO/+gxk0LH0L17Im5fOkPyPFlXey0iOre3lGEhMSuHH1EnZrNmJVR/ymYNS4yfx57QrHj3gzZsJUDu3fzdCR42jZpj0AC5fb0atjSy6eP03PPv0LYJnAf4l//cx7SkoKqampqKqqSoWrqanx559/FqmumBixq0gpTU1JWFpaGksWzmPoiNFUNLcoUn0Zdfx54xom5U2ZNH40bVo2Yejg/ly9fCnXaw00lLHrbIFNR3NG1S+Dbgklybm3YXHUNCqJpqr4Gc1SrwQGGso8D04fuCspyDGqflm8HwVm+xDwb+TTp4+0b92MLh3bMH/OTPw+fy5S+Wlpady9fZMy5cqzeNZEBnVvzYxxv3PrxpUcr4uNiaFECQ0UFH/uc3Faaip3b1wkKSGBCpWqZxknPjYWOTk51NSzdvFJTIjn9qXT6JY2Rlsve/eWH4n+1o40M7SjH4mJjkZOTo6SJUvlSWZaWipPbl0hKTGBcpZVSU1JBkBRSVkSR15eAQVFRT6+eApASkoycnKgqJTeJhSVlZGTk+fjiyd5tic77t27Q5uWTejZrSM2y5cQHhZWaJnJSUk8931G4ybSD2KNmzTl0cMHhZb/naz6Oqs6dblx7SpfgoMRiUTcu/MPnz5+yJSWQuuOzqy7oHz+9Ilu7VvSu2t7Fs+fjb9fej9Qy6oON69f5csXsT0+d//h88cPNGzStFA6i6uMiltXTkSEh/H82WO0tHWYOvZ3+nZuycyJI3jy8H6+5BSXPT8r3wpzL89Iamoqqampkre831FRVeXJw/sE+vsRHhZK/UbpExzKysrUqlOPp48fFoUpxYKcnJzMf78q//rBe8mSJWncuDErV64kICCA1NRU9uzZwz///ENgYPazgflFJBLh7OSAVe26mFtYSsK9drihoKjAoCFDi0zXj4SHhxEXF4fnDjeaNG2Oy3YPWrdpx+yZU7l390621/n7+7Pznj+b//rE3vuBlFJVZE4rM9SVFQA4+CiIwK+J2HexZFOvKkxuasKBh0G8DYuXyPitpiHvwuOkZuL/7dSoWZNVdqvZut2DpctXERoayvDfBxIZmbUvf0GIjAgnPj6OQ3t3ULdhE1Y5u9CkRRtsF8/myYN7WV7zNSqS/Tvd6Nyzb5GlI7/4f3jLjAFtmfpbK/Zvc2K8tT1GJmaZ4iUnJXJ8lwv1W7RH7dus9HeunznCjAFtmTGgLb4P/mb6ivVSA+CckLSjOtLtKCOJiYlsXL+WTl26oaGR2YUrI8Gf3rFqeBdsfu/IH+7rGDR7BQZlTdEzNkFLrzQXD7gTHxNNSkoyN07sIyYynOhI8SC6nEVVlFTUuLDPlaTEBJIS4jm/ZxsiURoxkeF5sic7mjZvgZ2DE67uXsyaM59nT58wbswIkpKSCiU3IjKC1NRUdHV1pcJ1dfUIDQ0plOzviMtodaa+bu6ChZhVqEiX9q1oVLcmUyeOZf6ipVjVyf4NRUF0r3G0p3adulhkUz/ySrXqNVm60p71W92wXrKCsLBQxo4YTFRkJACz5ovt6dGxNc0a1GLG5HHMtV6KVe3C2VMcZfQzdOVEYID4LeBOdxe69uyLw/ptWFSqwtypY/D79DHPcorLnp+VbwW9l/9ICXV1qtWoxU6PbYSGfCE1NZULZ/7A9+ljwkJDCQsLBUBHR9o+HR1dwr+dE/i1+de7zQDs3r2bUaNGUaZMGRQUFKhTpw6DBw/m/v2sn/oTExNJTEyUCkvJwY0BYLXdSl6/fomH1z5J2HPfpxzYu5u93kdk+gT33f+2Vas2/D5sBACVKlfh0aMHHD50QPIa+0fevHlDsFrtb0eJvA+PY0VHCxqaaHLlTTitzXUx01HD5dYnwuOSMdcrwUArQ6ISUngZEksNIw0q6ZfA/vI7mdkmCzK65lgAtWpZ0a1ze/44cZyhw0cWiQ6RSFwmjZq1ovcA8YNbRYvKPH/6iDMnDlOjtvSip7jYGJbNm4qJaQWGjCyYa1VRULqMCQvX7yQ+JpoHt6+xc8MqZtlukRrAp6ak4LFmKSJRGgMnzM0ko0HLjlSxakBURCgXj+3HzWkJcx225Um/g+1KXr96yY6d+7I8n5ycjPXcWYhEIqwX5/6VRF3jckxc7UZCbAy+d25wdOtqRi1bh0FZUwbOWsHx7U7Yj+mJvLw8FWrUxcIqva2ol9JiwIyl/OGxnn/OHUNOTo4aTdpgZGaRbz/dH+nYqYvkf3MLS6pWq06XDm25eeMabdt1KJRsyPzlQZFIVGR9kKPdSt68fom7116p8AN79/Dk8SOcN27FyNiY+z73WG1rg56+Pg0bNclGWv6wX2XD61ev8Nqddf3ID02aZXBdsLCkRi0r+nbvyOk/jjN46AgO7t/D0yePcFq/BUMjYx7ev4eTvQ26eno0KAJ7ZFlGP1NXVojSxOuhuvXuR6duvQGwqFSF+3f/4dypY+Q3JcVlT3HnW0Hv5Vmx2MYeB5ul9OnSBgUFBSwqVaFdxy68evk8PVJW9uW7NH4ev/DEuMz5TwzeK1asyPXr14mNjeXr168YGRkxYMAAzMwyzygC2Nvbs2KF9KLBli1bMj/L2OBov5Ib167g5rmH0oaGkvAHPj6Eh4fRtWP6DiSpqamsW7uafXt3cupczi4UeUVbWxtFRUUq/LBKvIJZRR488MmznKRUEQFRCRhoKKMkL0ePaga4/v2Zp0HiWXX/r4mU1VKlnaUuL0NiqaSvjp66Mmu6S+8qMLZRWd6ExrH+Zt5nVH4maiVKYG5hyaePH4pMZilNbRQUFDExrSgVXq68Gc8eS792jYuLZcmcSaiplWCJrTOKinmbpZYFikpKGHzbbaW8RRU+vH7OlVMHGTJJXPtTU1Jwc1xMaHAgM1ZuyjTrDqCmroGaugYGxuUws6zO7CEdefj39Vx1r7YTtyN3L+l29J3k5GQWzJmJv78f2z28cp11B1BUVELXsAwAZSpWwv/tS/4+e5QeY2dhXMGSSavdSIiLITUlBfVSWmxfNIkyFdPXbZjXqs/MjXuJ/RqFvIICauoaOI7vi7ZB5vQVBn19A4yMjfn0sXBtRltLGwUFBUJDpWfPwsPD0NXVK5RsAEf7Vdy4dhVXz91SZZSQkMCWjetZs34jzVq0AsDCshKvXjxnj5dnkQze7W1Xcu3aFXbszLp+FBY1tRJUNLfk86ePJCQk4LJpPaudN9H028O+hWUlXr18wb7dXoUavMu6jH6WrpzQ0RPrKm8qvUNQedMKfAkKpLSeVp7kFJc9PyvfiupeDlCmrAmbXL2Ij48jNjYWPT19llnPxsi4jMSG8LBQqXU3ERHhaP/wtkHg1+Rf7zaTEXV1dYyMjIiIiOD8+fP07Nkzy3jW1tZERUVJ/Zo3z7xYRyQSsdrOhiuXL7LN3YsyZctKne/SvQcHDp9g38Fjkp++gQFDR4xms4t7JnkFRUlJmarVqvPxw3up8I8fP+RraylFeTkMS6kQlZCCgrwcivJypP2wgUyaKL3QL7wMxfbyO+yupP8ADj8OZrdP0e+aICuSkpJ4//4tevpFt3hQSUkJyypV8fv0QSrc//NHDAyNJMdxsTEsnjURRUUlljqsR1klfzsKyB4RKcli//DvA/cvgZ+ZbrMBjVJ58zkWidJlZHfewVbcjrZ7ZG5HkD5w//TpI9vcPNHS0i6YNVmkRbWEBuqltAgL9CPg3atMC10B1Etpoqauwbun94n9GpllnMIQGRlBcFBgoeugkrIyVapW4+9b0tue/n3rFrWsamdzVe6I+7qVXL18ERd3z0xllJKS8m2NgPQtQV5BgTRRzjvz5EW33SobLl+6gNuOnZQtm7/Fe3klKSmJD+/foaenT2pKCikpKZlmWRUU5HPdaSg3ZFVGP1tXThgalUFX3yBTf+j3+SMG+bhHFZc9PyvfiupenhE1tRLo6ekT/TWKu3/folmLNhiVKYuOrh73/rktiZecnMyj+/eoXtOqMCYUK/JycjL//ar8J2bez58/j0gkolKlSrx584a5c+dSqVIlRo7M2kVCRUUFlR8GUYpZLCB0sLXh3NlTOG/YQgl1dYkvnIZGSVRVVdHS0s40yFBUVERPVy/fexTHxcXy+dMnybG/vx8vXzynlKYmRkbGDB85mvlzZlGnbj3qNWjIrT9vcuP6Vdx27MpWZvv27fknpQThccmUVFGkc2U9VBXl+edjFAkpabwKiaVPdQOSU9MIj0vGQq8EDU00OfJYvNXU18TULBepRsQlExaX/WAtWxtjY/mU0UY/P148f46mpiZGxgXruLLC2Wk1LVq1xsjIiPDwcNy2uxAbE0P3nr3zJSc+Lo4A//T0Bgf68/b1C0qW0sSgtBF9B43AYdk8atSqQ8069fH55xb/3LrB6o3iB7e4uFgWzZpIYkICc5fYEhcbK9mmSzOHwWludSEqKpKgwEC+fPkCwIf34huBrp5ejrubHN+9jWp1GqGjV5qE+Dju3bzIq6cPmLrMmdTUFFxXL+Tz21dMWuJEWloaURFi33B1jVIoKikREuSPz5+XqWLVgJKaWkSGhXDh6B6UVVSoVrcxj86/z1Kvg60NZ8+cYl027SglJYV5s6bz4rkvG7ZsIzUtVRJHU1MTpQyLTjNycb87FlYN0NQ1ICkhjie3rvLB9xFDrR0AePr3NdRLaqGpZ0Dw5/ec9dpMlfpNMa+VvoPJ/Wtn0S9THvWSmnx+7cuZnVto3OU39IxNss3H3MpIU1OTbVs307ZdB/T19QkI8GfThnVoaWkXyXcNhg4fyaIF86havTq1atXmyCFvAgMD6Teg4PuTr7a14dzZ06zdsDnLMtLQ0KBOvfpscHZCRVUVIyNj7vvc5cwfJ5g5J7t3lnnDbuUKzp45xfpNW1EvoU5oyDfdJUtm2oggP2x0dqRZi9YYGhkRHh6Gp/t2YmNj6NK9J+oaGtSuW5/N69dI2XP21EmmzSqcPSCbMpKlrvi4OPz90utzUIA/b16J+7rShkZ8jYriS3AgYaHiPufzt7eYOrp66OjqIScnx4AhI9jptpUKFpUwt6jMhTMn+PTxPcvsnDl7dE+x2vMz9cjiXp4Vd27/hUgkolx5U/z9PuGyYS3lypvSpUcv5OTk6DdoKHs83ShbzoSy5cqzx8sNFVVV2nfsWij7ipNfd2gte/4Tg/eoqCisra3x8/NDR0eHvn37Ymtri1IeF9Flx+GD+wEYN2qYVPiylXb06NmnULJ/xPfZU8aOSv+w01on8QCke49e2Ng60KZtexYtXc4Od1ccHWwpb2qGk/NGauewWKxUqVKMrFgGDRVFYhJTeB8ej9O194THiwfeO+740bN6aUbWL0MJZQXC45I5+exLth9pKizPnj1lzMj0vFzjaA9Aj569WWnnUGR6goODsJ43i4iISLR1tKlZ04pd+w5ibFwmX3Jev3zGgmljJcdum8XbPrbr1J1Zi1bSpEUbpsxZzME9Hmzb4EhZk/IsWrmGajXFMzdvXvry0le8a8nogd2lZHsePJ2tXt+nP9QFx291oae4Lly/eoVli9P3Y14wdxYA4ydOZsLkqdnKjY4Mx2u9DV/Dw1BVV6dMeXOmLnOmilUDwoIDeXxHvDuT7QzpD4zNXLUZyxp1UFJS5o3vI66c9CYuNppSmjqYV7NijsN2SuXwUaND3uJ2NPaHdrR8pR09evXhS3AQ16+JXcwG/tZLKo7rjp3Uq98wS7mxUREc3WJPdGQ4qiXUKW1SgaHWDpjXFK83iIkI59wuF2KjItDQ1sGqeQda9pVeWB4a8JlL+8WLWrX0DWnRewhNuvyWrS3fyam9LlyynDevX3HqjxNEf41GT1+f+vUbsHrNOtTVc3cFyo1OnbsQFRmBq8tWQkK+YG5hyZZtrvmu3xk5fPAAAONHSZf9spV2kodeO8e1bNmwjiXWc/kaFYWhkTETp84o9EeNDn6rH6NHSJeNzSp7evYueD/7JTiYpdZziIyMQFtbh2o1auGxcz9G3/JplcMatm5ax/KF8/j6VWzP+MnT6dNvQMGN+YYsykiWul4+f8bsyaMkxy4bnADo0KUH85facuvmVZxWpe9bvmqJeC3MsNETGT5W/D2GvgOHkpSUiMt6R6K/fqWChSWOG1wxzueblOLKO1npkcW9PCtiYqJx3bKekC/BlCylScs27Rk7aZrELXPwsFEkJibgvHoVMdFfqVKtJms3uVJCPbMrpMCvx39i8N6/f3/69y/6fUt9Hr/I9zUF9XOvV78hD57krK9X77706p33nUqOHDlCcI1+2Z7/mpiab/eXSUd98xU/I/UbNOTRs5cFvj6vrF6zrkjk1KxdnzM3H+YYp0PXXnTo2qvA12dFvQYNefA0+7rQo1cfevTK/6Bm6NSsP8AC4j3bXU7cyvF6LV19pixdm2OcrLifS702LlM21zhZ0SuLxbQZadS5D40655xPHQaPo8PgcfnWnVt73brdI9tzRcGAQUMYMGhIkcm79/h5rnH09PRZttKuyHR+R1Z9wqrVOddVXT19lqwoenu+U9RlJEtdVnXrc/nv7LdH7dStF5269cpVzqBhY6T2eS8oxZV3stAji3t5VrRp34k27Ttle15OTo5R4yYzatzkQun5mfzKWznKmv+Uz7uAgICAgICAgIDA/zP/iZl3AQEBAQEBAQGBXwd5YeK9wAgz7wICAgICAgICAgL/EYSZdwEBAQEBAQEBgWJF8HkvOMLMu4CAgICAgICAgMB/BDmRSCTKPdp/nx+/uCogICAgICAg8P/CsmXLfnYSpBi695HMdeweUkvmOn4GeXKbadOmTZ4FysnJcfny5QInSEBAQEBAQEBAQEAga/I0eE9LS8uzb9K/eSJ/jvVSmcpfY28DwKz5S3KJWXicV68E4JRiS5nq6ZZyHYD5i2T7xL7aVvxmZN5C2epxtBPrGTxhnkz1AOzb5gjA3IWyrXdOduJ613zAFJnquem9GYBZC2Rbv50dxHV70Pic93kvCvZvF3+sZvYC2ZbRWgdxGRVXO5J1H/S9/5G1PfDr2fTdnuLSM35m9t9/KCq2rxPvp/+r5d30eYtlqmeD4yoAJs6SfRm5OMvumwcFRfB5Lzh5Grxfu3ZNxskQEBAQEBAQEBAQEMgNYbcZAQEBAQEBAQGBYkXY573gFGrwHhISQnx8fKZwExOTwogVEBAQEBAQEBAQEMiCAg3eV61axcaNGwkLC8vyfGpqap5l3bhxAycnJ3x8fAgMDOTYsWP06tVLcl4kErFixQpcXV2JiIigYcOGbNmyhWrVqhUk6VLscN/OlUsX+fD+HSqqqtSqVZtpM2djalZBEufypQscOeTNC99nREZGsv/QMSpVrpJvXYcP7ufwwQMEBvgDUKGiOWPGT6JpsxaSOO/fvWXj+rXc97mLKC2NChXNcXBah6GRcZYyp0+fzjItrUzhh+7543j+NWpKCkxpU4GWlnpoqikSGJWA911/jtwPkMTtXduIjtVKU8lQAw0VRVqv+ZOYxJR82wfgc+8uXjs8eO77lJCQENZt3EKbtu0KJCsnUlJS2LZ1E2dO/0FYaCh6+vr06NmbseMnIS+f991Pnz704ciBnbx9+ZzwsBAW2TrTuLn04uzPH97huW0DTx/5IEpLw8SsIvNXOGJQ2giAQP/PeGx1xvfxQ5KTk6jbsAnjpy9AW0c3W70+9+6yy9MDX99nhIaE4LxhM60z5NO2LZs4f+4MQUFBKCkpUaVqNaZMm0GNmjmvmr9+9ig3zx4j7EsgAEYmZnQZMIrqdRuTmpLCyb3beepzm9CgANRKaFC5Vj16DZuIlq6+RMberat58eguUeGhqKiWoELl6vQePgnDsqbZ6vV0d+Xq5W/tSEWVmla1mTpjNqZmZpI4cXGxbFrvzPUrl4mKisTIuAwDB//ObwMG5WjT00c+HN2/i7evfAkPC2XhKmcaN28tOd+9Ze0srxs5YQZ9Bg0HxGW0Y+s6fJ88IDk5mToNmjB++vwcy2iH+/ZMNk2bId03ZMTWZilHDx9k9lxrBg8dnqNNecF7/168PD0IDQmhorkF8xYspE7degWWl1v/s3yJNadOHpe6pnqNmnjt8S6wzozIom/IzabtLpu5cO4MwZJ2VJVJU2ZQPZd2lFeKuoyKU1dcbCwe2zZx89plIiLCsbCszNTZC6hSrQYAN65c5OSxQ7x67ktUVCTuew5jUalyUZlTbHknaz1eHq64bFrPgMFDmTXPWhL+/t1btmxwltzLzSqaY+fonO29PCtSUlLwdN3KxXOnCQsLRVdPn87dejJ89HjJfW7H9i1cvnCOL8FBKCopUalKVcZOmka16jWLzEZZIvi8F5x87/O+Y8cOHBwcmDZtGiKRiIULF2JtbU3ZsmWxsLDA3d09X/JiY2OpVasWmzdvzvK8o6Mjzs7ObN68mbt372JoaEj79u2Jjo7Ob9Iz4XPvLv0HDmbnXm9cXHeQkprCpPFjiI+Lk8SJj4/HyqoOU2fMLpQuAwNDpkyfxa59h9i17xD1GjRi9vQpvH3zGgC/z58YM2IIpmZmbHffyb5DxxkzbiLKyirZynRzc6PT+luS3+Rv2y5deh4CwKz2FWlcQYelJ57Tf/td9t/xY05HC1pYpg9aVBUVuP02HK+/PhXKPoD4+DgqVarEgkWyXfzn6eHG4YMHWLBwKUdPnmHGrLns9PRg/97d+ZKTkBBPhYqWTJixIMvzgf6fmTdlJGXLm2K/wZ1NngcZOHyspEwS4uNZMnsicshht94Vpy1epCQnY7NgGmlpadnqjY+Px7JSZRYszHoBXnlTU+YvXMKhoyfx3LUXY+MyTBo3mvDw8Bzt0dY1oNewiSxYu4MFa3dQqUZdttnNJ+DTO5ISE/j09hVd+o/E2tmTcdZ2BAd8xsV2vpQMk4qVGDZtEcs272fq8nWIRLBx2UzScnggv3/vLv0GDsZzzwG2uHqQmprClAmjpdqRs6MDt//6Ext7Rw4dP83gocNxcrDl2tWcd6ZKiI/HzNyS8dmU0a6jF6V+0+cvR05OjiYt20quXzpnEnJyctiuc8VxsycpKcmstJ6eYxl9t8lrjzdbXXeQmprC5AnSfcN3rl65xNMnj9E3MMjRlrxy7uwZHB3sGTtuIt6Hj1OnTl0mjR9LYEBA7hdnQ279D0CTps05d/mG5Ldhy/aiMAeQTd+Qm03ly5syz3oxB46cwN1rD0bGZZg8cQwRubSjvCCLMipOXY6rlnLvn9ssWmGP5/5j1G/UhNmTxxLyJRiA+IR4qteszbgpM4rIinSKK+9krcf36ROOHzmEuWUlqXC/z58YN/J3ypua4eLuxZ6Dxxg1diLKKtnfy7Ni304PThw5yIx5C9lz6CQTp85i/25PjnjvlcQpV96UmfMWsvPAUba678LQyJjZk8cREVH4Oi7w7ybfM+9btmxh4cKFzJ8/n6VLl9K7d2/q1KnDokWLaNGiBaGhofmS17lzZzp37pzlOZFIxPr161m0aBF9+vQBYOfOnZQuXZp9+/Yxfvz4/CZf2pZt0g8aK1ba07ZlE3x9n1G3Xn0AunXvCUCAv1+hdLVo1VrqePLUGRw5eIAnjx9R0dyCLZvW06RZC6bPTN9ho2zZcjnKjIuLI0wxSXI8vIkJn8Pjuf8pEoAaZTQ5/SRIcnzsQSC9axtT1agkN16J35rsvyu2q46JVqHsA2jWvCXNmst29xuAx48e0qp1W1q0bAVAmTJlOXfmNL7PnuZLTr1GzajXqFm253e5baZeo2aMmjhTEmZoXFbyv++TB3wJCmCjxwFKqGsAMMPahoFdW/D4/p1s5TZr3oJmzVtke75z1+5Sx7PnLeD40cO8fvWSho0aZ3tdzQbStvQcOoEb547x/uUzjNtXYLrNBqnzA8bNZPWcMYSHBKGjbwhA8469JOd1SxvR4/dx2E4fJpnNz4pN29ykjpfZ2NG+VVOe+z6jzrd29PjRQ7r16Em9+g0A6PNbf44e8ub5s6e0at02W9m5lZG2rp7U8d9/XaNG7fqScvJ9+pAvQQFscN+fXkYLVjCoW8scy2jzD33Dcht72rVqImUTwJfgYBztVrJ5mzvTpxSuP/rO7p2e9O7blz6/9QNgnvUibt36k4Pe+5k+s2CTCLn1PwBKysro6elndXmhkUXfkJtNnbp0kzo/c84CThw7wuvXL2nQMPt2lBdkUUbFpSsxIYEbVy9hu2YjteqIZ6FHjpvMn9eucOKIN2MmTqNjlx4AkrcaRUlx5Z0s9cTFxbJ04TwWLl2Bp5v0Q67L5g00adaCqTPnSMLK5HIvz4qnTx7RrGVrmjQTtxsj4zJcPn+GF77PJHHad+oqdc3UmfM4feIob1+/ol6DRvnWWdwI8+4FJ98z72/evKFRo0aS1zZJSeLBo5qaGrNnz8bV1bXIEvf+/XuCgoLo0KGDJExFRYWWLVty69atItPznegY8Wy+pqZmkcvOSGpqKufPniY+Po6ataxIS0vjr5vXKV/elCkTxtC+VVOGDxnAtSuX8ixTUV6OztVLc/JR+iDroV8ULSx00S+pDEDd8lqY6Khx+21EkdtUnNSuU5d//vmbjx/eA/DyxQse3PehWYuiGxykpaVx7/ZNjMuVZ8nsiQzp0ZpZ43/n9s0rkjjJyckgJ4eSkrIkTElZGXl5eZ49flAk6UhOTuLoIW80SpbEMh+vrdNSU7l74yJJCQlUqFQ9yzjxsbHIycmhpl4yy/OJCfHcvnQa3dLGaOuVzrPumG/tqFSGdmRVpy43rl3lS3AwIpGIe3f+4dPHDzRukv3APL9EhIdx7/aftO/SSxKWkpSUbRn5PnmYZ9lZ2ZSWlsaShfMYOmK0ZABcWJKTknju+yxTvjRu0pRHD4umTv3Y/3zH594d2rdqSp/unVi1Ygnh2bhF/hvJzqbvJCcncezIQXE7siyc+0dxlJEsdaWmppKamprpra6yqipPHt4vcFrzQnHlnaz1ONmtomnzljRo1EQqPC0tjVs3r2NS3pRpE8fSqXUzRv0+gOv5uJd/p6ZVHXzuivtJgDevXvD40X0aN8164ic5OZmTxw6hoVEy09sAgbzh7+/P77//jq6uLiVKlMDKygofHx/JeZFIxPLlyzE2NkZNTY1WrVrx7NkzKRmJiYlMnToVPT091NXV6dGjB35+hZv8zYp8z7wrKoovkZOTo1SpUlKJ0tPTw9+/6J7Ug4KCAChdWnrgULp0aT5+/FhkekBcKM5ODljVqYu5hWWRyv7Om9evGDl0EElJiaiVKIHTuk1UqGhOaGgIcXFxeO1wZ+KUaUydMZvbf/3J3FnT2ObuRd16DXKV3aqSHhqqipx6HCQJW3P+NYu6VuLMtCakpKaRJoJVp1/yyC9KJvYVFyNHjyUmOppe3TujoKBAamoqU6bNpPMPM22FISoinPj4OA7v3cHQMZMZOWE6Pv/cwm7xbOw2uFHDqh6Vq9VAVVUNz23rGTZuKojAc9t60tLSiAgLRadk/l6TZuTGtassmDubhIR49PT12ea6A21t7Vyv8//wFqf540hOSkJFTY3x1vYYmZhlipeclMjxXS7Ub9EetRLqUueunznCsZ1bSUyIx7BseaavWI+iklKe0i1uR6uxqi3djuYuWMiq5Uvp0r4VCoqKyMvJsXj5Sqzq1M2T3Lxw5dwfqJUoQZMW6esWKn0rI6/tGxg6dgqIwGv7BtLS0ggPC0U3D2Uk6Rt+sMlrhxsKigoMGjK0yGyIiIwgNTUVXV1pf3xdXT1CQ0MKJTu7/gfELjPt2nfE0MiYAH9/tm3dyISxI9hz4AjKysq5SP555GQTwM3rV1k4f464Henps2WbB1p5aEc5IcsyKg5dJdTVqVajFrs8tlHerALaOrpcPn+G508fU7Zc+aJIdrYUV97JUs+Fc2d4+cIXz70HM+sNDyMuLo5dO9yZMHkaU6bP4vatP5k/ezpb3byk3trlxpDho4mJieb337ojL69AWloqYydNo12nLlLx/rp5jRUL55KQkICunj7OW1zR0ipcHS8u5P9FPu8RERE0bdqU1q1bc/bsWQwMDHj79i1aGdYVfnfj9vLywtLSklWrVtG+fXtevnxJyZLiSbAZM2bwxx9/cODAAXR1dZk9ezbdunXDx8cHBQWFIktvvgfvFhYWfP78GYD69evj5uZGz549kZeXx9XVFVNT0yJL3Hd+XNQgEolyXOiQmJhIYmKiVFhKSs6LMB1sV/L61Ut27NxX8ITmQnlTU/YdPEp0dDRXLl1g+RJrXD12UbJkKQBatm7DkKEjAKhUuQqPHj3gyCHvPA3ee9Qy4vbbMEJj0t1oBtYvS40ypZh18AmBUQnUNtFificLwmKSuPPhvzv7fv7sGU6fOon96rVUNDfn5YvnOK22R9/AgB49exeJjjSR2B+6UbNW9OovHpxVsKjM86ePOHviMDWs6qGppcOCFY5sdbbjjyP7kZOXp2XbTlS0rIK8Qr5faklRv0FDDhw5RmREBEcPH2LenBns3ncQHd3sF1kClC5jwsL1O4mPiebB7Wvs3LCKWbZbpAbwqSkpeKxZikiUxsAJmT+E1KBlR6pYNSAqIpSLx/bj5rSEuQ7b8pRuR7uVvHn9EnevvVLhB/bu4cnjRzhv3IqRsTH3fe6x2tYGPX19Gv4we1VQLp49Qat2naV8SzW1dJi/whGXDGXUos23Msrj4ubVdit5/folHl7pfcNz36cc2Lubvd5HZLLoKr99Xl7Irv+pUNGcDhkGBOYWllStVo1undrx541rtGnXIQepP5ecbAKoV78h+w4eJTIygmNHDmE9dyZee7xzbUd5QRZlVFy6FtnYs9pmKX27tEFBQQGLSlVo17ELr14+L2xS80Rx5V1R6wkOCsTZ0Z6NLm6oZOHDnpYm/khli1ZtGPRt4bpl5So8efSQo4e98zV4v3zhLBfPnmLpqtWYVTTn9csXbHJejZ6+AZ279ZTEq1OvATv2HSEqMoI/jh1mmfUctnvty3FBvkBmVq9eTbly5fD09JSEZRzP5sWNOyoqCg8PD3bv3k27duIF+Xv27KFcuXJcunSJjh07Fll68z3C6NKlCzdu3ADA2tqaK1euoKWlhY6ODkeOHGH+/Pm5SMg7hoZiP9zvM/Df+fLlS6bZ+IzY29ujqakp9bt582a28VfbreTGtSu4euyi9DedskBJSZlyJuWpWq06U6bPwtKyEvv37kZLWwsFRUXMKlSUim9mVoGgoOx9jb9jWEqFBmbaHH+YHldFUZ5Jrc1Yd+kNN1+H8eZLLIfu+XPxeQi/N8q//92/iXVrHRk5ZhydunTFwrIS3Xr04vdhw9nhXnQL7EppaqOgoEi58tJlUq68GSHB6flcp0ET3A+cYs+JK+w7eZXZi20JC/1CaaMyhdKvVqIEJiblqVnLiuUrbVFQUOTY0cO5XqeopISBUVnKW1Sh17CJlDE158qp9Bmi1JQU3BwXExocyLQVGzLNugOoqWtgYFwOi2q1GTfflmC/jzz8+3quuh3tV3Hj2lW2ue+UakcJCQls2bieWXPn06JVaywsKzFg0BDad+zMHi/PHCTmnWeP7uP/6QMdumV+eKtTvzFu+/9g9/HL7D1xldmLVxEW+gXDPJSRo724b9juLt03PPDxITw8jK4d29CgdjUa1K5GYEAA69auplunNjlIzBltLW0UFBQyrR0KDw9D9wf//vySXf+TFXr6BhgZG/HpU9G+4SxqcrNJrUQJypmUp0ZNK5ausEVBUYETx48USqcsy6i4dJUpa8JGVy/O3bjDoVOX2L7zACkpKRgZF67fyo3iyjtZ6Xnh+4yI8DBGDO5Hk7o1aFK3Bvd97nJw/x6a1K2Bpta3e3lF6fuGqVkFggNzv5dnxGXjWoYMH0O7jl2oaG5Jp6496D9oGHs8pdfjqKmVoGw5E6rVqMWCpStRUFDg1ImjBbaxOJGTk/0vr5w8eZJ69erRr18/DAwMqF27Nm5u6eu58uLG7ePjQ3JyslQcY2NjqlevXuSu3vkevC9duhQPDw8A2rRpw61bt5gwYQJjx47l0qVLDB9e+G3SvmNmZoahoSEXL16UhCUlJXH9+nWaNMl+ts7a2pqoqCipX/PmzTPFE4lEONjacOXyRbZ7eFGmbNkspMkOkUjsi6mkpEy1atUlPtzf+fTxA0Z52Fqqey0jIuKS+Ot1+gpzRXk5lBTkEYmk46alifJVof+NJCQkZHrdJn6tKMrmivyjpKSEReWq+H/+IBXu7/cRA0OjTPE1tbTRKFmKRz53iIoIp2HTVkWWFgBEIpKTknKPl/lCUpKTgfSB+5fAz0y32YBGqbyt7RCJ0mVkd3613UquXr6Ii7tnpnaUkpJCSkoycnLS3Y28goLkDUdhuXDmOOaVqmBmnr2vp7iMSvLovriMGjTNfo2E2CZx37DNPXPf0KV7Dw4cPsG+g8ckP30DA4aOGM1ml/ztuJURJWVlqlStxt+3/pIK//vWLWpZZb0tZkH53v9kRWRkBMFBQejpy2YBq6zIyabv55MK1I7SKc4ykrUuNbUS6OrpE/01irt/36Jpi4I/eOaF4so7Wemp17Ax+w6fYLf3UcmvStXqdOzSjd3eR1FWVqZq1azv5fnZJhLE9zm5H75iJK8gn2ufKSrwveLXJDExka9fv0r9fvTMAHj37h0uLi5YWFhw/vx5JkyYwLRp09i1axeQsxv393NBQUEoKytncnHNGKeoKPQXVuvXr0/9+nl/FfQjMTExvHnzRnL8/v17Hj58iI6ODiYmJsyYMQM7OzssLCywsLDAzs6OEiVKMHjw4GxlqqioZHql9d1XPyMOtjacPXOKdRu2UEJdXeILp6FRElVVVQCioiIJCgwk5MsXAD58a5S6enr52plhy8Z1NGnWnNKljYiLi+X8uTP43LvDxq3iBb5Dh4/Cet5s6tStR736Dbn115/cvHGN7e47c5QrB3SvZcjpx8GkZhipxyal4vMxkmltKpKQnEZQVAJ1ymvRpUZp1l96K4mnq66MroYy5XTUADA3UCcuKZWgqAS+JuRvv/e42Fg+fUrfctLfz48Xz5+jqamJkXH+Oq6caNGqNe5u2zA0Mha7zTx/zp5dnvTs3TdfcuLj4gj0T09vcKA/716/QKOUJgaljegzaASOy+dRrVYdatauj88/t7hz6wb2G9IHZxfPHKdc+Qpoamnz4tljXDc60rPf75Q1Mc1Wb1xcLJ8z5pO/Hy9fPKeUpiZamlq4u26jZes26OnrExUZycED+wkODqJ9x0452nN89zaq1WmEjl5pEuLjuHfzIq+ePmDqMmdSU1NwXb2Qz29fMWmJE2lpaURFiBckqmuUQlFJiZAgf3z+vEwVqwaU1NQiMiyEC0f3oKyiQrW6jXl0/n2Welfb2nDu7GnWbticZTvS0NCgTr36bHB2QkVVFSMjY+773OXMHyeYOSfnN3XiMvr8Qxm9RKNUKcle+3GxMfx17SKjJ83KUsalMycoW95MUkZum5zo2W9IjmXkYGvDubOncM6mb9DS0s7kV6qoqIierl62e8HnlaHDR7JowTyqVq9OrVq1OXLIm8DAQPoNGFhgmTn1P3Fxsbi6bKFNu/bo6RkQEODP1k3r0NLSpnWb9oWy5Tuy6Btysik+Lo4d7ttp0ao1enr6REVFcsh7P1+Cg2jXvvCvrmVRRsWp687tvxCJRJiUN8XP7xPbNqylXHlTuvToBcDXqCiCgwIJCxXf9z5/FLd9HV09dPUKN0NeXHknCz3q6uqZFqerqamhqaklCf99xCgWzZtF7Tr1qFu/AX/f+pM/b1xjq7tXvnQ1ad6K3TvcKG1ohFkFc16/fI733l107SF+uxgfH8euHa40a9Ea3W91/NihA4R8CaZ1u6Jzz5AlxbHPu729PStWrJAKW7ZsGcuXL5cKS0tLo169etjZ2QFQu3Ztnj17houLC8OGDcs2zXlxxZKFW1ihB++F5d69e7Runb7l16xZ4hvw8OHD8fLyYt68ecTHxzNp0iTJR5ouXLggWRxQGA557wdg7KhhUuHLV9rRo5fYp+n61SssX7JQcs56rjh94yZOZsKkqXnWFRYWytJF8wkNCUFDoyQWlpZs3OpKo8ZNAWjdtj3Wi5fhtcOVNavtKG9qxuq1G3Jd0NfATBsjTVWpXWa+s+iYL5Nbm7GyVxVKqSoSFJWIy7X3Uh9p6lPHmHEtTCXHbsPEsxIr/nghtfg1Lzx79pQxI9Pzco2jPQA9evZmpZ1DvmTlxIKFi9myaQP2q1YQHh6Gvr4BffsNYPzEyfmS8/rlMxZOHys5dt+8FoC2nbozc+FKmrRow6TZizm0xwPXDY6UMSnPQps1VKuZPnPj/+kjO103EfM1CgNDY/oPHUOv/r/nqNf36VPGjkp/Q7XWUZw33Xv2YtHSFXx4/54/Tk4jMiICTS0tqlWvwY6de3Pd0SQ6Mhyv9TZ8DQ9DVV2dMuXNmbrMmSpWDQgLDuTxnT8BsJ0h/XZs5qrNWNaog5KSMm98H3HlpDdxsdGU0tTBvJoVcxy2U0pLJ1u9hw8eAGD8KGm5y1ba0f3bGgQ7x7Vs2bCOJdZz+RoVhaGRMROnzqBv/5xvpG9e+rJwRnoZeWwRl1GbTt2ZaW0DwI3L5xGJoEXbrB9u/D5/YKdbhjL6fTQ9cymjwwfFfcO4H/qGZSvt6NGzT47XFpZOnbsQFRmBq8tWQkK+YG5hyZZtrhgXwqUhp/4nISGBN69fcfqPE0RHR6Onr0e9+g2xc3RGXT2zW1VBkEXfkJNNiYmJfHj/jlMnjxMZKW5HVavVwM1zT5HsDCSLMipOXTEx0bhtWU/Il2BKltKkZZv2jJk0DUVF8cL0v25cxcFmsST+ikXitTEjxk5k5Lj89bPFYc/P1PMjrdq0Y/7iZez0cMPZ0Q6T8qbYr1mPVe38Lc6fOXch7ts24eywioiIcPT09OnZpx8jxk4ExG+bP314z+JTJ4mKjKCUphZVqlZns9tOzDIs2v5/x9raWjKu/E5W6xWMjIyoWrWqVFiVKlU4ckTsZpfRjdvIKP3te0Y3bkNDQ5KSkoiIiJCaff/y5UuO3iIFId+DdzMzsxyfIOTk5Hj79m2253+kVatWiH707fhB3vLlyzM9JRUF95+8yDVOj159JAP5wrB0hW2ucXr27pvv2eN/3kdQ3/ZalufCYpOwOfUyx+vdbn7A7eaHfOnMjvoNGvLoWc76igJ1dQ3mLVjEvAWLCiWnZu36nLrxMMc4Hbr2okPXXtmeHzFhOiMmTM+X3noNGvLgafZ1b+2GTfmS952hUxdme063tBEuJ3L2udPS1WfK0rX51nvvce6L3PT09Fm20i7fsmvUrscf13Pe2q1Tj7506pF9uxkxfjojxuevjHwe5943/Mipc1dyj5RHBgwawoBBQ4pMXk79j6qqaqZ97YsaWfQNOdmkoqKC07qCtaO8UtRlVJy62rTvRJv22b/J69y9F5279yoyfT9SXHlXHHpcPDK/He/Rqy89euXvXv4jJdTVmTZ7AdNmZ/2BOhUVFWydNmR57r9CcbjwZuWJkRVNmzbl5UvpPurVq1eULy/egSmjG3ft2uIJvO9u3KtXrwagbt26KCkpcfHiRfr37w9AYGAgT58+xdHRsSjNyv/gvWXLlpkG76Ghody6dYtSpUrRsqXsP9IjICAgICAgICAgUBTMnDmTJk2aYGdnR//+/blz5w6urq6SbxfJycnl6satqanJ6NGjmT17Nrq6uujo6DBnzhxq1Kgh2X2mqMj34N3LyyvL8LCwMNq3b0/Xrl2zPC8gICAgICAgICAA/6593uvXr8+xY8ewtrbGxsYGMzMz1q9fz5Ah6W9u8uLGvW7dOhQVFenfvz/x8fG0bdsWLy+vIt3jHYrQ511XV5e5c+eyYsUKfvvtt6ISKyAgICAgICAgICBTunXrRrdu2X/sMS9u3KqqqmzatIlNm2TrtlekC1b19PR49+5dUYoUEBAQEBAQEBD4xfgXTbz/5yjcZyAzkJycjJubG2ZmmT/FLiAgICAgICAgICBQePI9896mTeaPOCQmJvLq1SvCw8PZuTPnfckFBAQEBAQEBAT+vymOfd5/VeREOe3TmAWtWrXKlOGqqqqYmpoydOjQIt/Lsqj4cZN+AQEBAQEBAYH/F5YtW/azkyDF5GO5bzNcWLb0riJzHT+DfM+8X7t2TQbJEBAQEBAQEBAQ+H+hyPy2/w/J9+DdxsaGMWPGYJzFJ60DAwNxc3Nj6dKlRZK4omautWzT5WQv/uLj3IWyt9/JTqzL4XiITPUs6KUPwLyFsn1id7QTvxmZv0i2elbbivVMm7s4l5iFZ6PTKgBmzFsiUz3rHVcC8PukeTLVs2er+CMTs+bL1h7n1WJ7hk2eL1M9ALu2iD+u8avV70mzC/cBs9zYulb8gSRZ2wPpNs1eINt+da2DuE8trjIqLj2y7n8gvQ/61fKuuPqFCTOz/8BeUbFtXf4/kifw7yXfDz4rVqzAz88vy3MBAQGCe4qAgICAgICAgECOyMnJyfz3q5LvwXtOLvIxMTEoKSkVKkECAgICAgICAgICAlmTJ7eZx48f8/DhQ8nxmTNnePHihVSc+Ph49u7dS8WKFYs0gQICAgICAgICAr8W8r/uxLjMydPg/dixYxJ3GDk5OWxsbLKMp6amhqenZ74ScOPGDZycnPDx8SEwMJBjx47Rq1cvyfmjR4+yfft2fHx8CAsL48GDB1hZWeVLR0743LvLLi8PfH2fERoSgvP6zbRu205yPi4ulo3r1nL1ymWioiIxNi7DwCFD6T9gUP71eGbQs0Faj0gkYvvWzRw5fJDor1+pXqMm1ouXUtHcQhJHXg6U5MUfNli2bBkHDhwA0n3ee7apxei+zahdpRx62ho0HGDP41f+Uuk47zadFvUspMIOnfdh2IL0cntxegXljXWl4iSnQkpazja6bNnEdpfNUmG6unpcvv5XzhcWEO/9e/Hy9CA0JISK5hbMW7CQOnXrFVie27bNeGzfKhWmo6vLmUs3AXFd2LpxHdevXuZrVCSGxmXoP/B3+vYfWGCdXh6ubN20joGDhzJr3kJSkpNx2bKBW3/ewN/PD42SGtRv2Jgp02ajb2CQo6wnD304sm8nb14+JzwshMV2zjRpkb61q7PtEi6d/UPqmkpVa7DOdTcAwYH+jOzXNUvZ1jaO2eo9fHA/hw8eIDBAXNcqVDRnzPhJNG3WgpTkZLZu3sBfGexp0LAxU6fnbs93mw7v8+L1C7FNS+3XSdmUkQ2ONpw9cYTx0+bSe8DvAAQF+jPity5Zxl+40ilX/d/5r9ft37q1JygwIFN4734Dmb1gCbbLFnL21Ampc1Wr18R15/4C6/yRorZph/t2rl6+yIf371BRUaWmVW2mzZiNqVmFLOPb2izl6OGDzJ5rzeChwwus9ztFbc/P0vVjH/Qj9iuXcezIQWbOWcCg3wufb1B8eVdcemJjY9iyaQNXL18iPDyMSpWrMm/BQqrXqFlgmXGxsbhv28TNa5eJiAjHwrIy02YvoEq1GoB4zODptpU/jh0mOvorVavVYOa8xZhVNC8qs2SOMHgvOHkavI8bN45u3bohEolo0KABnp6eVK9eXSqOiooKFStWRE1NLV8JiI2NpVatWowcOZK+fftmeb5p06b069ePsWPH5kt2XoiPj8fSsjI9evVhzsxpmc6vcXTg3p1/sHVwxNi4DLdv/YW9rQ36+ga0btM2f3oqZa/Ha4c7e3Z5sWKVPeVNTXHbvo0JY0dx/NRZ1NU1JPHSRJCWBipZlFwJNWVuP3rL0Uv3cVk6JNu0eBz5i5Uup9LTlpicKc6KrafwPPoXUzqJB/GTp8/Jk50VzS3Y7p7+ICAvr5Cn6/LLubNncHSwZ9GSZVjVrsPhgweYNH4sx06exiiLxdR5pUJFczZt85AcZ0z/+jWruX/vH5bbrsbIuAx3bv+Fk/1K9PX1adE673XhO75Pn3DsyEHMLStJwhISEnj53JdRYydiWakyX79Gsc7JntkzJrFr3+Ec5SXEx2Nmbkn7rj2xXTQ7yzh1GzZl5sL0dSkZ3dz0DAzZc+KSVPxzJ49weJ8X9Ro14+OLh1nKNDAwZMr0WZQrZwLAqT9OMHv6FPZ6H6F0aUNevPBlzLiJWFSqTPTXKNY62jNr+iR278/ZnnSbKtG+S09WZWMTwK0bV3j57Cm6evpS4foGhuw7eVkq7OyJwxza50X9Rs348PxBrmn4zn+5brvt9iYtNVVy/O7tG2ZOGkPrdh0lYQ2bNGPhslWS46J0gZSFTffv3aXfwMFUq1aD1NRUtmxax+QJYzh87BRqJUpIxb165RJPnzzO0wNjXpBV/1PcurLqgzJy7Xu+6RdNvkHx5V1xltGKpYt58+Y1q+wd0Tcw4PQfJ5kwdiRHTpyhdOnSBZK5etVS3r99w6IV9ujpG3Dh7B/MmjyWXQdPoG9Qmn27dnBw3y6sl66inIkpu3ZsZ9aUsew9fIoS6upFap/Av488Dd6NjIwwMjIC4OrVq9StWxcNDY1crsobnTt3pnPnztmeHzp0KAAfPnwoEn0/0qx5C5o1b5Ht+cePHtKtRy/q1W8IQN9+AzhyyBvfZ0/zNXjPSY9IJGLf7l2MHjeBtu07ALDSzoG2LZty9vQpfvs2s5smEv+yY//puwCYGOnkmJb4hCSCw6JzjBMTm0BwWDSxsao5xvsRBQUF9H4YQMmC3Ts96d23L31+6wfAPOtF3Lr1Jwe99zN9ZvaDvNxQUFDINAD8ztPHD+nSrRd16zUAoFff/hw7cpDnvs/yPXiPi4tlycK5LFpqww63bZJwjZIl2bx9h1TcOfMXM+L3/gQFBmBolP1Np37jZtRv3CxHvUrKSujo6mV5TkFBIdO5Wzeu0KJNx0yDoYy0aNVa6njy1BkcOXiAJ48fUbGPBVt/sGfugsUMH5K7PZA3m0JDgtnqbM8qZxeWzp2aN5va5mxTVvyX67a2tnSfsMfLnTJly1G7bn1JmLKScrZ1v7DIwqbN29yljpfb2NOuVROe+z6jTr10u74EB+Not5LN29yZPmV8wY3IgKz6n+LUlV0f9J0vwcGscVjFhq1uzJo6ocB6fqS48q649CQkJHD50gXWbdxK3W/1buLkqVy9colD3vuYMm1mvmUmJiRw4+ol7NZsxKqO+E3BqHGT+fPaFY4f8WbMhKkc2r+boSPH0bJNewAWLrejV8eWXDx/mp59+heZfbLkV15QKmvyvWC1atWqBARkfv0K8OrVK0JDQwudqH8TVrXrcP3aFb4EByMSibh7528+fvxAk6Y5Dyjyg7+fH6GhITRu0lQSpqysTN169Xn0MO8zg3llQJd6fL7igM/hRdjP7I1GCZVMcWaNaI/f1dWMHz+e5s2b51n2p08fad+6GV06tmH+nJn4ff5clEkHIDkpiee+z2jcRLoMGjdpWuj8+vzpE93at6R31/Ysnj8bf7/09NeyqsPN61f58kVcF3zu/sPnjx9omKHc8oqj3UqaNm9Jg0a5f9QsJiYaOTk5NEqWyreeH3ny4B6DurVmzMAebFi9gsiI8Gzjvn7hy7vXL+nQrVee5aempnL+7Gni4+OoWcsqyzhFaU9aWhpONov4bfAITCvk/rr49Qtf3r5+SaduvfOt679etyU6kpO4cOYUXXv2kbp5PvC5S7d2zRnYuwurVy4lIjysaPQVg00grlcApTQ1JWFpaWksWTiPoSNGS7kgFobiskfWunLqg9LS0li2eD6/Dx9VZPkGxZd3xVlGqakppKamoqIifR9VVVXlwf37BZSZSmpqKsrK0jJVVFV58vA+gf5+hIeFUj9D2SkrK1OrTj2ePn5YIJ0C/y3yvc/75MmT0dTUxM3NLdO5tWvX8vXrV/bvLzo/yZ/NfOtF2CxfQsd2LVFUVEROTo6lK1ZRu07dItMRGir2W9fRlfYz19XVJTCbB6WCcuDMXT4EhBEc+pVq5sbYTO1ODcsydJuY7s+7Zd81Hrz4TOTXOJb8Xp22bduipCD2e8+JGjVrsspuNeXLmxIWFobbdheG/z6QIydOoaWlXWQ2RERGkJqaim6m/NKT5GVBqFa9JktX2mNS3pTwsFA83bczdsRg9h/+A00tLWbNX4i9zTJ6dGyNgqIi8nJyLFy6Eqva+asLF86d5uULX7z2Hso1bmJiIps3OtOxc7dCv+2q26gZzVq3x8DQmOAAf3a7b8F62lg2euxHSVk5czpPHaOcaQWq1rDKVfab168YOXQQSUmJqJUogdO6TVTIwvcyMTGRzRuc6VQE9gAc3OOJgoICPfsNzlP886eOYZJHmzLyX6/bGblx9QoxMdF06d5LEtaoaXNat+uIoZExAQF+uLtsYtqEUXjsOYRyFnUjPxSHTSKRCGcnB6xq18XcwlIS7rXDDQVFBQYNGVokeqB47JG1rtz6oF2e7igqKDBgcNHlGxRf3hVnGamra1CzVm1ct23FrEIFdHX1OHfmFE8eP8KkfPkCySyhrk61GrXY6bGN8mYV0NbR5fL5M/g+fUzZcuUJCxNPkuroSNuno6NLUFDRjhlkieDzXnDyPXj/66+/2LBhQ5bnOnbsyPTp0wudqMKSmJhIYmKiVFhKSkqBZO3fu5snjx+xftNWjIzKcN/nLvarVqCnp0+jxrnPmuaHH18hiURF/1rJ89gtyf++bwN58+kLt/bNx6pyWR6+EO/fv2nvVUmcBw+SSUhIoH///rkO3ps1byn53wKoVcuKbp3b88eJ4wwdPrJI7YCs8ktUqPxq0iyDW5OFJTVqWdG3e0dO/3GcwUNHcHD/Hp4+eYTT+i0YGhnz8P49nOxt0NXTy9MMOkBwUCDOjvZsdHHPNFPzIynJySyaPxtRWhrziuDDXy3bpvs3m1Ywx6JyVUb81pk7t2/StKW0209iYgLXLp1l0PBxeZJd3tSUfQePEh0dzZVLF1i+xBpXj11SA/iU5GQWzp9NWloa8xcV3p7XL3w5cWgvm3ccyFO5JyYmcPXiWQaPyP/amf963c7I6RNHaNikGXoZ/Jjbdkh3XaxgbkHlKtX5rVs7bv95XfJavrDI0qbVdit5/folHl77JGHPfZ9yYO9u9nofkcnreVnaI0tdufVBz32fcWDfbnbvl02+QfHlXXHpsbV3ZPnShXRo0wIFBQUqV6lK5y7dePHct8AyF9vY42CzlD5d2qCgoIBFpSq069iFVy+fp0fKyj6EEfH/A/kevIeGhmZ6mv2OtrY2ISGy/eJnXrC3t8/0saiWLVtinU85CQkJbNqwHucNm2jeohUAlpUq8fLlC3bv3FFkg/fvfrRhoaFSC4PCw8MyzcYXNQ+efyYpOQVzEwPJ4P1Hvn+US05O/ECRV9RKlMDcwpJPHz8UQUrT0dbSRkFBIZOLVnh4GLrZ+HMXBDW1ElQ0t+Tzp48kJCTgsmk9q5030fTbQM7CshKvXr5g326vPA/en/s+Izw8jOGDf5OEpaam8uD+PQ557+PPO49QUFAgJTkZ63kzCQjwY6urZ5GtMcmIjp4+BoZGBHz+lOncn1cvkZiQQNtO3fIkS0lJmXIm4lmmqtWq4/vsCfv37mbRUnE7TElOZsHcmQT4++HiVjT2PH10n8iIcIb27SQJS0tNxW3zWo4d3MuuI2el4t+8epHEhHjadupeaN3/1bodFBjAvTt/Y+uU9QTMd/T09TE0Mubzp4+F1ilrmxztV3Lj2hXcPPdQ2tBQEv7Ax4fw8DC6dkzfnSg1NZV1a1ezb+9OTp27UiB9xdX/yEpXbn3QlOmziQgPo0dn6Xzb4OzIgb27OHH2clZi80Rx5V1xlhFAORMTPLz2EB8XR0xsDPr6BsybPQPjMmULLLNMWRM2uXoRHx9HbGwsenr6LLOejZFxGYkN4WGhUutwIiLC0ZbxmKEoEVzeC06+B++lS5fmyZMntG7dOtO5J0+eZDuwL06sra2ZNWuWVJiTU963hftOSkoKKSnJyMlJLw1QkJcnLS2XfRPzQZmyZdHT0+fv27eoXKUqIPZL9bl3t8gXP/1I1YpGKCspEhgalW0cw+83xHwM3AGSkpJ4//4tdeoWnYsRgJKyMlWqVuPvW3/Rtl36rODft27RKh+LiHMjKSmJD+/fYVW7LqkpKaSkpGSatVFQyF9dqN+wMfsPS2/JZ7N0EaZmZgwbOUZq4P7500dc3HYWqVtGRr5GRRLyJTjLBawXTh2jYbNWaGrnvPg5O0QicR2G9IH7p08f2e5edPa07dSN2t8Wkn9n0cyJtO3UjfZdemWKf/7UcRo1a4VWAW3KyH+1bp8+eQxtbR0aN8t+kT5AVGQkX4KDimQBq6xsEolEONqv5OqVS7h67KJMWemBUpfuPWjQqLFU2JSJY+jSrSc9euZ/zcN3iqv/kZWu3PogXT19Gv2wjmfaxLF07taD7j37FEjnd4or74qzjDKiVqIEaiVK8DUqilu3/mTGrLmFl6lWAjW1EkR/jeLu37eYMHUWRmXKoqOrx71/bmNZqQoAycnJPLp/j/FT879AVuC/R74H7506dcLW1pZOnTphaZnuW/j69Wvs7e3p1i1vM3XfiYmJ4c2bN5Lj9+/f8/DhQ3R0dDAxMSE8PJxPnz5JFsm+fPkSEA8oDTPMsmRERUUl0+tARcWsTY2Li+Xzp/SZR39/P16+eE4pTU2MjIypW68+652dUFVVwcioDD737nDqjxPMmrsgX3bmpmfw0GF4uG3HxKQ8JuXL4+G2HVVVVTp3lc7PjENHbW1talqWIeJrHJ+DItAuVYJyhtoYGYgXbFmaireoCg77SnBYNGZl9RjYpR7n//QlNCKGKhUNcZjZhwfPP3P74TsAGtY0o0ENU67ffUVUTAJVq1alY8eOpKblPnZ3dlpNi1atMTIyIjw8HLftLsTGxNC9EDfK7Bg6fCSLFsyjavXq1KpVmyOHvAkMDKTfgILvub7R2ZFmLVpjaGREeHgYnu7biY2NoUv3nqhraFC7bn02r1+DiqoqRkbG3Pe5y9lTJ5k2a36edairq1PR3FIqTE1NDU1NLSqaW5KSksKCuTN48dwX540upKalSnw0NTU1UVLK3v84Pi6OAP/0OhYc6M/b1y8oWVKTkqU02btjG01btUVHV4/gwAB2um6ilKYWjVtK75se4PeJp4/us8Jp848qsmTLxnU0adac0qWNiIuL5fy5M/jcu8PGra6kpKQwb84MXj73Zd2m/Nkjsckv3aagAH/evnpByVKaGBgaUUpTSyq+gqIS2jp6lCtvmtmmhz6sXLMlTzb9yH+9boN4EeKZk8fo1K2nVH8YFxfLju1badW2Pbp6+gQG+OO6ZQOaWtq0bN0uB4l5RxY2OdjacO7sKZw3bKGEurqkXmlolERVVRUtLe1MD4qKioro6epluxf8z7SnuHTl1gcBWeabrq4e5U3NCmZEBoor74qzjG79dRORSISpqRmfPn1i3VpHTE3N6Nmr4A87d27/hUgkolx5U/z9PuGyYS3lypvSpUcv5OTk6DdoKHs83ShbzoSy5cqzx8sNFVVV2nfM+lsd/0bkhan3ApPvwfvy5cs5deoUNWvWpHXr1pQtWxY/Pz+uXr2Krq5uJneV3Lh3757ULP73GfPhw4fj5eXFyZMnGTky3ad04EBxw1u2bBnLly/Pb/Iz4fvsKWNHpX94Yq2TAwDde/TCxtYBBydnNq13ZuGCuXyNisLIyJjJU2fQL58f5vF9+oMex296eor1jBg1hsSEBOxX2fD1axTVa9bExdVDao93eTlQVUyv7B07dqRjx47sPvk345btoWvLGrjZpC8w2r16FACrtp3BdvsZkpNTaN2gEpMHtUajhDJ+QZGc+/MpttvPkvZtD8rEpGR+61CHheM7o6KkSGzMV+7fv0/Dpq1ytTE4OAjrebOIiIhEW0ebmjWt2LXvIMbGZfKVV3mhU+cuREVG4OqylZCQL5hbWLJlm2uhdH0JDmap9RwiIyPQ1tahWo1aeOzcj9E3masc1rB10zqWL5zH169RGBoZM37ydPr0G1BUZvElOJgb18Sv838fID0wdHHbSd36DbK99vWLZyyYlu7P7bZpLQDtOndn8pxFfHj3msvn/iA2JhptXX1q1anHghWOlCghvSfwhdPH0dU3oE4D6VnL7AgLC2XpovmEhoSgoVESC0tLNm51pVHjpgT4+0vsGdxf2p5t7jupl4M9AK9ePGP+1DGSY9dNa77Z1IM5i1fmKX0gnnXPj00/8l+v2wD3/rlNcFAgXX+YPVWQV+Ddm1ecO32SmOiv6OrpU6deA1bYrymy/aJlYdPhg+KNEcaNGiYVvmylHT0KOUOcG7Iqo5+tqzgoLnuKM9+io6PZtN6Z4OAgNDW1aNu+A1OmzSzUtxJiYqJx3bKekC/BlCylScs27Rk7aRqKimKZg4eNIjExAefVq4iJ/kqVajVZu8lV2OP9/wQ5kSg/XsxiAgICWLJkCefOnSMkJAR9fX06d+7MypUrUVRURF9f9nsh55cVK1Yw17rwi+Rywsle/OXZuUWwuDBXXXZiXQ7HZbvGYEEvcVnOW7hMpnoc7cQPffMXyVbPaluxnmlzF8tUD8BGJ/EHb2bMWyJTPesdxYPY3yfNk6mePVvFX1mdNV+29jivFtszbHLe32gUlF1bVgO/Xv2eNHuRTPVsXWsLyN4eSLdp9gLZ9qtrHcR9anGVUXHpkXX/A+l90K+Wd8XVL0yYmfnLtkXNtnV2LFsm+/aaHxaeeSVzHXZdLHOP9B8k3zPvAMbGxnh4pH+FMi0tjXPnzjFlyhROnTqVaacXAQEBAQEBAQEBAYHCU6DB+3fevn3Ljh072LlzJ4GBgSgrK9O3b9+iSpuAgICAgICAgMAviODyXnDyPXhPSEjg0KFDeHh4cPPmTcm+qbNmzWLBggX/it1mBAQEBAQEBAQEBH5F8jx4v3v3Lh4eHhw4cIDo6GjU1dUZMWIEffv2pVu3bnTv3l0YuAsICAgICAgICOSKsNtMwcnT4L1mzZo8e/YMgMaNGzNq1CgGDBiAuro6UVHZ7w8uICAgICAgICAgIFB05Gm3GXl5eeTk5OjatSsODg5UrVpVci4qKgptbW2uXbtGixY5f/jjZ5LfLSwFBAQEBAQEBH4V/m27zSw9/1rmOmw6Wshcx89APvcosH79emrWrMmpU6eoUaMGjRs3xt3dnejoaFmnT0BAQEBAQEBAQEDgG3lym5k2bRrTpk3j3r17Er/3cePGMWPGDLp27YqcnFymz8b/G5H1/uvf914vzn3eP1eW7e4+5V4cAX69/XtHTs3fF3ILgucm8Ye4imt/6o6/T5epnvN7NgAwWcZ7iG/5tod4lZ5jc4lZeJ6fcAMotm9A/Cr1+3vdLs593ifNkvHe9c7Fs3d9cfd1M2X8XQaAdat/zX3e58i4X1jzrV+YOkf23x3ZtGaVzHXkF/l//7DxX0ueZt6/U69ePVxcXAgMDGTnzp3Uq1ePw4cPIxKJGD16NGvXriUsLExWaRUQEBAQEBAQEBD4vyZfg/fvqKqqMnToUK5du8arV69YsGABcXFxzJ07l3LlyhV1GgUEBAQEBAQEBH4h5OXkZP77VSnQ4D0jFStWxM7Ojk+fPnHy5Ek6depUFOkSEBAQEBAQEBAQEPiBQn1hNSPy8vJ069aNbt26FZVIAQEBAQEBAQGBX5BfeGJc5hTZ4L2g3LhxAycnJ3x8fAgMDOTYsWP06tULgOTkZBYvXsyZM2d49+4dmpqatGvXDgcHB4yNjYtEv8+9u+zy9MDX9xmhISE4b9hM67btJPq3btrAnzev4+fnh4aGBg0bNWHazFkYGJQuMj0Aly9e4Mghb577PiMyMpIDh49RqXKVXOVqqSnyW01DqhtpoKQgT3B0Ijvv+vMxIkESp0c1A1pU1KaEkgLvw+PZ6xNAwNdEyfm5rc2oZKAuJffOp0hcb/vly0YA7/178fL0IDQkhIrmFsxbsJA6devlW05OeLht5/LFC7x//w4VVVWsrGozY9YcTM0q5EvO4wf3OLTXi1cvnxMeGsJyh/U0bdkGgJSUZDy3b+bOrZsEBfhRQqMkdeo1ZPSkGejpGwAQFOjP0D6ds5S9eNWabPXucN/O1csX+fD+HSoqqtS0qs20GbOl0r996ybOnztDcFAQSkpKVKlajUlTZ1CjZq1s5f7h7YXPrWsE+n1ESVkFiyo16D9qCkZly0viJMTHcdBzC/dvXycm+it6pY1o36M/bbumL3xOTk7igPtG/r5+gaTERKpa1Wf45LnZ6u3brT1BgQGZwvv0G8jsBUu4duUiJ44c5OVzX6KiIvHcdxjLSrnX7TsXTnDn4kkiQ4IAMChrSqu+w7Cs3RCAmMhwLuxz5c3jeyTExlC+Sk26jZyGrlFZACK+BOE8dVCWsgfMWEb1xq2y1e1z7y67vDK01/XS7TUuLpaN69Zy9cploqIiMTYuw8AhQ+k/IGt9+aWw7aiwdRsgPCwU183O3L9zm/i4WMqamDJo+BhatOnwU2z6kZSUFHa4buHiudOEhYWiq6dPl249GT56AvLy4pfKIpGIHa5bOXnsENHRX6larSaz5i+mQkXzAuuVlT3Fqevwwf0cOXiAwAB/ACpUNGf0+Ek0bSbe7jksLJRN69fyz+2/iI6OpnadesxdsAiT8qZFYU6x5Z0s9HzvG55/6xvW/tA3hIWGsnHdGm7f/ouY6Ghq163HfOvFBcq7L1+C2bphLbdv3SQxMRETk/IsXLqKylWrAeL67bF9CyeOHuJr9FeqVa/JnAWLqVDx19weUSCdQrvNFJbY2Fhq1arF5s2bM52Li4vj/v37LFmyhPv373P06FFevXpFjx49ikx/fHw8lpUqs2Bh5hX5CQkJPPf1Zez4Sew/eIS16zfx6eMHZkyZVKR6vp+vVbsOU2fMzrNMVVVVFrStQKpIxIYbH1l69jUHHwYRl5QmidOpsh7tK+myzyeQVZfeEpWQzKxWpqgoShf99bfhzDrxQvLbfS/zYCw3zp09g6ODPWPHTcT78HHq1KnLpPFjCQzIv6ycuHf3DgMGDWH3/oNsd/MkJTWVCWNHExcXly85CQnxVLCoxJTZ1pnOJSYk8Oblc34fOZ6tXt4ss3fG7/NHls6bJomjb2CI96krUr9hYyahqqZGg8bNstV7/95d+g0cjNceb7a67iA1NYXJE8YQnyH9JuVNmb9wCd5HT+Kxcy9GxmWYPGE0EeHh2cp9+fQBbbv9xhJnD+bZbiQ1NRWnRdNITIiXxNnnup4nPn8zfu4K7LcfoGOvgexxWcv929clcfZuX4fPrWtMmr+KxWtcSYyPY93y2aSlpWWlFvfd3pw8f03yW7/VHYDW7TqK8zk+nhq1ajNh6sxs054VpXT16TB4LBPstjHBbhtm1Wuzz2kxwZ/fIxKJ2LdmCeHBgQyes4qJq13R0iuN56o5JH2zV1NPn3nbj0j92vQbgbKKKhbfHgCyIz4+HkvL7NvrGkcHbv31J7YOjhw9cZohQ4fjaL+Kq1cu58vGrCiKdlTYug2wesVC/D5+wMZxI657jtKsVTtsl8zjzcvnP8WmH9m704MTRw4yc94i9h76g0lTZ7FvtyeHvfdKxfHet5NZ8xbhvtMbXV09Zk4eQ1xsbIH1ysqe4tRlYGDIlOmz2LnvEDv3HaJeg0bMmT6Ft29eIxKJmDtjCgF+n1mzfgt7vI9iZGTM5PGjpPqof5M9xakn4VvfMD+LvkEkEjFr+mT8/PxYt3Er+w6K827C2Pzn3devUYwfOQRFRUWcN21n/+E/mDpzHholS0ri7Nnpwf69O5k9fzE7dh9EV1eP6RPHEFvI+l1cyMvJ/ver8tNn3jt37kznzlnPXmpqanLx4kWpsE2bNtGgQQM+ffqEiYlJofU3a96CZs2z/rhUyZIl2ea+QypsvvVifh/Uj8DAAIyM8j77n5MegG49egIQ4J/32e6mTZsSHpeM5x1/SVhYXLJUnHaWupz2DeG+/1cAdvzjj3PPyjQsr8mNtxGSeEmpaXxNSMmz7qzYvdOT3n370ue3fgDMs17ErVt/ctB7P9Nn5v2hJDdcXD2kjm1W2dO6eWOe+z6jbr36eZbToHFzGjRunuU5dY2SrN7oKhU2ZZY1U0YP5ktQIAaGRigoKKCjqycV56/rV2jVthNqJUpkq3fzNnep4+U29rRr1YTnvs+o8y39nbt2l4oza+4CThw7zOtXL2nQqHGWcues3CB1PGbWEqYO6sT71y+oXKM2AG9ePKFZ2y5UqVkXgNade3P17DHev35OncYtiYuN4caFk4yfvZxqtRsAMH7uCmYO70GQSZks33hpa+tIHe/2cqdM2XLUriu2pVNX8cP291m+vFK5bhOp4/YDx3D3wkn8XvuioKDI59e+TFmzg9LlzADoPmYGDmP78PivK9Rr2xV5eQVKakmnzffun1Rv0hoVVbUcdefWXh8/eki3Hr2oV1/8ENC33wCOHPLG99lTWrdpmy87f6Qo2lFh6zaA79NHTJu7mMrVagAwZOQ4jhzYzesCDN5l0Tc8e/KIZi3b0KRZSwCMjMtw6fwZXvqKvwYuEok4tH83w0aOo2Wb9gAsWmFHjw4tuHDuNL369i+QXlnZU5y6WrRqLXU8aeoMjhw8wNPHj1BUVOTJ40ccOHKSiubiGdz5i5bSsXVTzp87Ta8+/f519hSnnqbNW9A0m77h08cPPHn8iEPH/pDknfXiZbRr2YRzZ0/Tu2/e826PlwelSxuyeIWdJMzIuIzkf5FIhPe+XYwYPZ5WbcX1e4mNPV3bNefC2VP0/m1AQcwT+I/w02fe80tUVBRycnJoaWn9FP3RMdHIyclRsmSpn6I/I5UqVeJjeDwTmpTDuWdllnaoSPMK2pLzeupKaKkp8SwoRhKWkibiZUgs5rrSg8tGJlqs61WZFZ3M6VfLMNPMfG4kJyXx3PcZjZtIzzg3btKURw8fFMC6vBPz7WNhpTQ1ZaonNiYGOTk51DPMfGTk1Qtf3r5+QafuvfMlNyYm5/QnJydx9LA3GiVLYlGpcp7lxseKy10jQ121rFqLB//cJDz0CyKRiOeP7hHs/5kadRsB8OH1C1JTUqheJ31mWltXn7LlKxAaGpqrzuTkJC6cOUXXnn2K9NsPaWmpPP7rCkmJCZSzrEZKivghVUlJWRJHXl4BBUVFPr18kqUM/3cvCfrwhrqtuxQ6PVa163D92hW+BAcjEom4e+dvPn78QJOm2b9xyQs/qx1lVber16zN9Uvn+RoVRVpaGlcvniU5OYladfL+gAyys6mGVW187v7Np48fAHj96gWPHz2gUVPxQ0uAvx9hYaE0aNRUco2ysjJWderx9HHB9RZnGRWHrtTUVC6cPU18fBw1almRnCxuWyoqKpI4CgoKKCop8fDB/ULpKq68+1ntKCkpCQDlH/JOSUmZh/d98iXr5vUrVK5anYXzZtClbTOGDerDiaOHJOcD/P0ICw2lQaP0SQ5lZWVq163Hk8cPC2dIMSFXDH+/Kj995j0/JCQksGDBAgYPHkypUsU/eE5MTGTjurV07tINDQ2NYtf/I9ra2rTSkefCyzBO+4ZgpqvGoNpGpKSJuP0hEk1VcfH+OKP+NSEF3RJKkuO/P0YSGptEVEIKZUqp0qdmacppqeJ8/UOe0xIRGUFqaiq6urpS4bq6eoSGhhTcyFwQiUSscbSndp26WFhYykxPUmIi7i7radOhC+rqWZf9uT+OYmJagWo1rfIsVyQS4ezkgFXtupj/kP4b16+ycN5sEhLi0dPXZ+v2HWhra2cjKbPcfW4bsKxWi7KmFSXhv0+YzY6Ndswc1h0FBQXk5OQZNX0hltXEaY6KCENRUQn1Hx5OS2npkBCdvcuOJM1XrxATE02X7r3ylM7cCPr0DrfFk0lJTkJZVY3Bc2wwKGtKakoKWvqlubDfjZ5jZ6OkqsqtU4eIiQwnOiLrb03cv3IG/TLlMalUvdDpmm+9CJvlS+jYriWKiorIycmxdMUqatepWyi5P6MdZVe3F69yYtXiufTt1BwFBUVUVFVZ7rAe47L52w5YVjb9PnwMsTExDPmtG/LyCqSlpTJu0nTad+oKiH32AXR+0Kutq0twFms08kpxlpEsdb15/YpRQweRlJSIWokSOK3bRIWK5qQkJ2NkbMyWjeuwXrIcNTU19u7aSVhoKGEhhdNZXHn3s+5HpmYVMDI2ZvN6ZxYtXYFaCTX27PQiNDSEkHzqDfD349jhAwwcMpzho8bh+/QJzk52KCkr06VbT8Ik9Vv67a+Ojl6Wa5AEfi3+M4P35ORkBg4cSFpaGlu3bs0xbmJiIomJiVJhKSmFcwlJTk5mwdxZiEQirJfI/quCeUFOTo4PEQkcexIMwOfIBMqUUqVVRR1uf4jM/rofjm++S3efCYhK5EtMIks6mGOirYqoAGnKiEgkkunXd+1X2fD61Su8du+TmY6UlGRsl85DlJbG1LlZf+UxMSGBKxfOMmTkuHzJXm23ktevX+LhlTn99es3ZP+hY0RGRHDs6CEWzJnBzr0HMw1GsmL3Vif83r9h0ZrtUuEXTnrz9sVTZixbg66BIS+fPmTXVie0dPQkbjJZkseKcOrEERo1aYZ+hoWPhUHPuByTHN1JiI3h2T83OLLFgdHL12NQ1pSBs1ZwfJsTdqN7IC8vT4UadbGwytqXPTkpkcd/XaZVn2FFkq79e3fz5PEj1m/aipFRGe773MV+1Qr09PRp1LhJ7gJyobjaUU5123P7ZmKiv7J6oyuaWtrcunGFlYvmsM7Fs0C6itqmyxfOcuHsKZatcsSsojmvX75go7MDevr6dO7WK6Ni6QtFoiLZ5qI4+zpZ6Cpvasreg0eJjo7myqULLF9izXaPXVSoaM7qtRtZuXwxbZs3QkFBgfoNG9OkWdZuWAWhuPKuuO9HSkpKODlvxGbZYlo1a4iCggINGjWWLATOD2lpaVSuWp2J39YKVapclffv3nDs0AG6dOspiffj7LKIoqnfxcGv7JMua/4Tg/fk5GT69+/P+/fvuXLlSq6z7vb29qxYsUIqrGXLlmReupV3/fNnz8Tfzw/XHV7/ill3gOjoaAK/Si8iDPyaSJ2y4vyJ+jbjXkpVUfI/QElVxRz92z9GJJCSmkZpDWWC8pgWbS1tFBQUMrlWhIeHofvDzEBRYW+7kmvXrrBj5x5KGxrKREdKSjKrFs0lKMAfp83u2c6637h6kcSEeNp37p7l+axwtF/JjWtXcPPMOv1qJUpQzqQ85UzKU6OWFb26deT4scOMGjM+R7m7Xdbw4J+bLHTcjo5e+q5ISYkJHN7pwrTFq7FqIH6dbGJmwae3rzh7dC/VajdAU1uXlJRkYqO/Ss2+f40KR1NdNUe9QYEB3LvzN3ZOG3KMlx8UFZXQNRT7eZapWAn/ty+4feYIPcfNpkyFSkx2dCchLobUlBTUS2mxfdFEjCtUyiTn2d/XSU5MxKplwXZKyUhCQgKbNqzHecMmmrdoBYBlpUq8fPmC3Tt3FGrwXpztKKe6HeD3mROH9+O29yimFcQ7s1S0qMSTh/c5ccQbzQxv7nJDVjZt3biWIcNH066j2A2qorklQYEB7PZ0p3O3XpIZyfDQUPT09CXXRYSHo6OT+wNwdhRnGclSl5KSMuVMxDtRVa1WHd9nTziwdzcLl66gStVq7Dt4jJjoaJKTk9HW0WHEkAFUqVatUDqLK+9+xv3oO1WrVefA4eNER0eT8i3vhg3uT5Wq+Xvjp6enj1mFilJhpmYVuXpZvA7wux1hYSHo6Wes32F5muAR+G/zr/d5/z5wf/36NZcuXcr0GiwrrK2tiYqKkvo1b16wWYPvA/dPnz6yzd0TLa28uS0UB58/f6Z0SRWpsNIllSWLVkNjk4mMT6aaYfpNWUFejkr66rwJy37lu7GmCooK8kTmYwGrkrIyVapW4+9bf0mF/33rFrWsaudZTl4QiUTYrbLh8qULuO3YSdl8vsbPK98HN/5+H1m90ZVSmlrZxj33xzEaN2+F1g+LN7NCJBKx2s6GK5cvss3dizJly+YpPSKRiORvPpXZnd+11Yl7t64x334L+obSi0tTU1NITUlBTk662csryEt2kjG1qIyCoiJPH9yRnI8MD8Xv4zv09HK+6Z0+eQxtbR0aF2CWKe+ISE2RXpStWkID9VJahAX64f/2FVXqNc10lc/VM1Sq1wT1UlqFTkFKSgopKcmZ8lFBXj7bHXnySnG1o9zq9vcdiuTkf6wrCohE+bNRVjYlJMRLtoT8joKCAmnf0mdcpiy6unrc/eeW5HxychIP79+jes2C6y3Ovq54+1VISpbuXzRKlkRbR4dPHz/w3PcpLVsVbjF2cdlTnPmWHSUz5J3vs6e0atMmX9fXsKrDpw/vpcI+ffyA4beNMozLlEVXT4+7f9+WnE9OTuKBzz1q5MN182ci7DZTcH76zHtMTAxv3ryRHL9//56HDx+io6ODsbExv/32G/fv3+fUqVOkpqYSFCSeC9bR0UFZWTlLmSoqKlKLbQAUFbM2NS4uls+fPkmO/f39ePniOaU0NdHXN2DurOm88PVlw5ZtpKWlSvzlNDU1pRbL5UZOeoyMjImKiiQoMJAvX74A8OG9uNHq6ulJzRpl5O+//2bk6Op0qaLPvc9RmOqo0aKiDrvupe/qcelVGF2q6BMcnUhwTBJdq+iTlJrGPx+jANBXV6ZheU2eBEYTk5iKsaYK/a0M+RgRz5vQOPI2rBQzdPhIFi2YR9Xq1alVqzZHDnkTGBhIvwED8yEld+xWruDsmVOs37QV9RLqhH7zw9QoWRJV1ZxnhzMSHxeHv196mQQF+PPm1QtKldJEV08fm4WzefPyOSvXbCYtLU3iQ1uylCZKSukzj/6fP/HkoQ+2a7fkSa+DrQ3nzp7CecMWSqirS+qUhoY4/fFxcXi4baNlqzbo6esTGRnJIe/9fAkOol2H7L9gvGurE39fO8/0pU6oqqkTGS72/S6hro6yiipqJTSoXKMO3js2oayigp6BES+e3Oevy2cZNHb6t7gatOjQgwPuG9AopYlGyVIccN9IOdOKGObwdiMtLY3TJ4/RuVvPTG3ta1QkQUGBknL6vsBQV1cP3WzqNsDF/W5YWDVEU9eAxIQ4nty6wvtnjxi2cDUAT29fQ72UFpp6BgR/eseZnZupUr8p5rWkF1SGBfnz8fljhi5wyFbXj+TWXuvWq896ZydUVVUwMiqDz707nPrjBLPmLsizjuwoinZU2LpdztQM47ImbFhtw7gpsymlqcVfN65w/85tVq7ZjK/PX9mplplNP9K0eSt27XCltKERZhXMefXyOd57d9Klh3jBuJycHP0GDWW3pxtlTcpTrlx5dnm6oqKqSodvfvEFpbj6Olnp2rJxHU2aNad0aSPi4mK5cO4M9+/dYeNW8S5Ely6cQ1tbh9JGRrx9/Yq1jna0bN2WRk0yPxj/G+wpTj259Q0Xz59DW0cbQ0Nj3rx+hdNqW1q1aZtp8WxuDBwyjHEjh+DlsZ227Tvh++wJJ44eYsHi5YC4fg8YPIydO1zF9dukPDt3uKKqqkqHzsLHMn91fvrg/d69e7Runb5t1axZswAYPnw4y5cv5+TJkwBYWVlJXXf16lVatWpVaP2+T58ydtRwyfFaR/ENvnvPXkyYNIXrV68AMPC3XlLXue3YSb0GOe8VnVc9NrYOXL96hWWLF0rOL5grzofxEyczYfLULGUGBASw9c9P9KlZmu7V9AmNTeLAg0DJwBzg3ItQlBXkGVLXGHVlBd6FxeN8/QOJKeLZqZQ0EVVKa9DOUhcVRXki4pJ5HBjNH89CEOXT4b1T5y5ERUbg6rKVkJAvmFtYsmWbK8YZtrcqCg567wdg9IihUuE2q+zp2btPnuW8evGMOZNHS463bXQCoH2XHgwbM5HbN68BMGGY9PZea7Z4SO24ce7UMfT0DajbMG/uEocPitM/bpS0//WylXb06NkHeQUFPnx4z6nZ04iMiEBTS4tq1Wrg7rVXsv1YVlw5fQQA+/kTpcLHzFxC8/biznzi/FUc8trCNqdlxEZ/Rc/AkN+GTaBNl/R8GzxuBgoKCmyxX0hyUiJVa9Vnxqyl3Dt/IFvdd/+5TXBQIF17Zs7/m9evYrdicbqd1nMAGDVuEqPHT85WZkxUBEe22BEdEY5qCXVKm1Rg2MLVmNcUf2QlOjKMs7u3EhsZgYa2LlYtOtCq79BMcu5fPUNJHT0q1sz7x1l8n/3QXp2+tdce4vbq4OTMpvXOLFwwl69RUeJ9sKfOoF//wg9AiqIdFbZuKyoqYeu8BY+t61kydyoJ8XEYlzVh7pJVNGzSPN+Dd1n0DTPnLsJt20bWOqwkIiIcPT0DevTpx8ix6fV/yPDRJCYm4uywUvyRpuo1WbfZjRLq6jlI/jn2FKeu8LBQli2aT2hICBoaJTG3tGTjVlcaNhYPzkNDQli3ZjXhYWHo6evRpVtPxoyfmIvUn2dPcerxffaUcRn6BucMfcMKWwdCQ7/g7ORAWFgYevr6dOvek7ET8p93VavVwGHNRlw2r8PTzQUj47LMmLOAjl3SXTN/Hz6axIQE1jjYEP1VXL/Xb3VHvZD1u7iQ5fqDXx05kSi/Q7T/JitWrGDuwqUy1eFkZwMgcz0ZdX2u3DeXmIWj3AvxgHD+Itku0l1tu6JY9YycWvgZ0tzw3CTu1GcvkG19WOsgrgsdf58uUz3n94h92SfPznrRblGxZa0tAFV6jpWpHoDnJ9wAmGst477BXlxGv0r9/l63ZW0PpNs0aZZs691WZ3G9+9X6upnzs/7QWFGybvVK4NfLuzky7hfWfOsXps5ZnEvMwrNpzSqWLft3bLbxHadr72SuY26r/H15/b/CT595FxAQEBAQEBAQ+P/iV/ZJlzX/+gWrAgICAgICAgICAgJihJl3AQEBAQEBAQGBYkVweS84wsy7gICAgICAgICAwH8EYeZdQEBAQEBAQECgWJEXpt4LzP/VbjMCAgICAgICAv+P/Nt2m9n45/vcIxWSac3MZK7jZyC4zQgICAgICAgICAj8R/i/cpuZt1C2T52OduLZ/enzZL9n6wbHVQBc1+4gUz0tIy4Av97+vW0GTZOpHoAr+zcCxbfPe9/Rs2Wq54jHWqD49nkfMG6uTPUAeLuKP170q+3zPm2ubPugjU7i/qc493mfJeP9yp1/0b3Ki/N+9Kvlnaz3X9+0Rpxvsu5TIb1f/TcheM0UHGHmXUBAQEBAQEBAQOA/wv/VzLuAgICAgICAgMDPRx5h6r2gCDPvAgICAgICAgICAv8RfvrM+40bN3BycsLHx4fAwECOHTtGr169JOeXL1/OgQMH+Pz5M8rKytStWxdbW1saNmwok/R07tCGwAD/TOH9Bw5m4eKi8bPz8nDFZdN6Bgweyqx51gDExcWyZcM6rl+9zNeoSIyMy9B/0O/07T8wWznTp09nmZZWpvDjj4PYcuMDoxqVo6GpNkaaKsQmpnL/cxRutz4SFpssievcpypWZTWlrr/yKpRV517n2y6fe3fx2uHBc9+nhISEsG7jFtq0bZdvOXnFe/9evDw9CA0JoaK5BfMWLKRO3Xp5uvbqmSNcO3uUsOBAAIxNKtB94Chq1GsCgEgk4uR+d26cP0FcTDRmllUZMmEuZcpXkJLz9sUTju3exruXz1BQVKScmQUzlq9DWUU1W9073Ldz9fJFPrx/h4qKKjWtajNtxmxMzdJlL1u8gFMnj0tdV71GLXbu9c5W7tF9O/j7z6v4f/qAsooKlarWZOi4aZQpZyqJ8/fNK1w4dYR3r54T/TWKNdv3YWZeSUrONmdbHt//h4iwUFTV1KhUrRa/j52ard6+3doTFBiQKbxPv4FMn70AV5eN3P7zJgH+fqhraFC/YWMmTJ2Jvr5BtjK/8+yRD8cO7OLNK18iwkKxXulMo+atJefj4+LY5bqRf/68SvTXKAwMjenWdyCde/aXkvPi2SP2uG/h1fMnKCooYmZeiaWOm7PV63PvLru8PPD1fUZoSAjO6zfTOkNdXrpoAX/8UD41atZiVw7lkx8KU7ezwm3bZjy2b5UK09HV5cylm5niOqxaxvEjh5gxZwEDhwwrsM7s8HDbzsb1zgz5fRjzrAvu63v44H4OHzwg6a8rVDRnzPhJNG3WAoDlS6yzaEM18drz7yyjn6WrqO5H+aG48k4Wer58CWbrhrXcvnWTxMRETEzKs3DpKipXrUZKcjLbt27k1l83CPDzQ0NDg3oNGzNp2qw89XcZyalfnb1gCSKRiB2uWzlx9BDR0V+pVr0ms+YvpkJF80LZV5wIPu8F56cP3mNjY6lVqxYjR46kb9++mc5bWlqyefNmKlSoQHx8POvWraNDhw68efMGfX39Ik/P3gOHSUtLlRy/ef2aCWNH0r5DpyKR7/v0CcePHMLcUnrAtN5pNT73/mGF7WqMjMvwz+2/cLJfiZ6+Pi1bt81SlpubG39rpw9kzHRLsKZ3Va6/DkNVUR4LA3V23/XjXUgsGqqKTG5hyqpulZno/URKzqmnwXj+/VlynJSSViDb4uPjqFSpEj1792H2jOwHe0XBubNncHSwZ9GSZVjVrsPhgweYNH4sx06exsjYONfrtfUM6Dt8MgZGZQG4dfk0m23nsXT9LsqUr8C5I7u5eHw/I2cswbCMCae8PXFeOg1bF29US6gD4oH7+mUz6PzbcAaNm42ikiKf379BTj7nF1r3792l38DBVKtWg9TUVLZsWsfkCWM4fOwUaiVKSOI1adqcZSvtJMdKSko5yn32+D6devTDvHI10lJT2eexBZt5k9mw4zCqamoAJCTEU7laLZq0aIeL86os5VSwrELzdp3RNzAk5msU3rtcWTl/Mu3atEY+C9vcd3uTlpreZt69fcOMSWNo3a4jCQkJvHzxnBFjJmBuWYno6K9sWOPA/JlT2LHnYI72fE+vaUVL2nbugcPSOZnOe2xZw5MH95i5yBYDQ2Me3rvNtnX26Ojq07CZuG28ePaIFfOm0HfwSMZNm4+ikiLv37xCXi77coqPj8fSsjI9evVhzsysFzc3adqcFavyXj55pbB1OzsqVDRn0zYPybG8vEKmONevXuLZk8f5HmjkladPHnP4kDeWP/R/BcHAwJAp02dRrpwJAKf+OMHs6VPY632EiuYWgLiMltqkL9T7t5dRcesqyvtRXimuvJOFnq9foxg/cgh16zXAedN2dHR08fv8CY2SJQG+9Xe+jBwzAQvLykR//cr6NfbMmzEZz72H8qUrp34VYO9ODw7s3cmi5baYmJji5bGdGZPGsP/oadTV1Qtkn8B/h58+eO/cuTOdO3fO9vzgwYOljp2dnfHw8ODx48e0bVu4TiQrdHR0pI53uLtSrpwJ9eo3KLTsuLhYli6cx8KlK/B02y517snjh3Tp3ou63/T0/q0/x44c5Lnvs2w7y7i4OCJU0mfRB9fVxj8ygUf+XwGYd/y5VPxN197jMrAmBhrKfIlJkoQnJqcREZdMYWnWvCXNmrcstJy8sHunJ7379qXPb/0AmGe9iFu3/uSg936mz8x91xWrBs2ljvsMm8i1s8d49/IpxiZmXDrpTdf+I6jbRDwAHDVzKbOGduGf6xdo2bk3AN7u62nbvT9d+qXPTpY2NslV9+Zt7lLHy23sadeqCc99n1GnXn1JuJKyMnp6eX9AXeIgPZM8ed5yRvVtx9vXz6lWsw4Ardp3BeBLUOYZne906NZH8r+BoTGDRk5i9riBxMbGUvLbTSoj2trSbWa3lztlypajdt36yMnJsWGrtL2z5i1kzLCBBAUGYGiU8020bsNm1G3YLNvzL589pk2nbtSoLZ5N69i9L+f/OMKbl76SwbvH5rV06zOQ34aMklxnXLZ8jnqbNW9Bs+YtcoyjnM/yySuFrdvZoaCggG4O6f3yJZg1DrZs2OrKrKkTC6wnO+JiY7GeP5dlK1bhtt2l0PJatGotdTx56gyOHDzAk8ePJIP3/LahvCKrMipOXUV9P8orxZV3stCzx8uD0qUNWbwi/aHdyLiM5H+NkiXZ6OIhdc2s+YsYPXRAnvq7jOTUr4pEIg7u283wUeNo1aY9AItX2NG9fQsunjtNr779sxL5r0NemHkvMP8pn/ekpCRcXV3R1NSkVq1aMteXnJzEmVMn6dm7L3JF8H7HyW4VTZu3pEGjJpnO1apdh5vXrvIlOBiRSMS9u//w+eMHGjVpmifZivJytKusx1nfL9nGUVdRJE0kIiYpVSq8bWU9jo2tx44htZjQrDxqSv/uapGclMRz32c0biI9qGvcpCmPHj7It7y01FTu3LhIUkI8FSvXIDQ4gKiIMKrVTnfNUlJSplL12rx5IX5r8TUynHcvn1FSUxv7uWOZObQzjgsm8vrZw3zrj4mJBqCUprT7ks+9O7Rr2YTe3TuycvkSwsPC8iU3LjYGgJIlS+U7Td9JiI/n6vmTGBiVoUSGtwLZkZycxIUzp+jas0+2bSYmJgY5OblCpes7VWpYceev64SFfEEkEvH4wV38P3+kdn1xG4uMCOfV8ydoauswb/JwhvVuy8Lpo/F9nP968iP37t2hTcsm9OzWEZsClE9WFHXdzsjnT5/o1r4lvbu2Z/H82fj7pb9tS0tLY8XiBfw+fBQVKloUSk922K2yoUWLljRqnLn/KyypqamcP3ua+Pg4ataykoT73LtD+1ZN6dO9E6tW/PvLqDh1yfJ+lB3FlXey0nPz+hUqV63Ownkz6NK2GcMG9eHE0Zxn1GNiogvd3/3Yrwb4+xEWFkqDRunloaysjFXdejx5VLR1UODfyU+fec8Lp06dYuDAgcTFxWFkZMTFixfR09OTud4rly8RHR1Nj169Cy3rwrkzvHzhi+ferF0FZs9fiN2KZXTv2BoFRUXk5eRYuGwlVrXr5kl+04o6aKgocv551oN3JQU5xjYx4fLLUOIyDN4vvwwl8Gsi4bFJmOmWYEwTEyrolcg0a/9vIiIygtTUVHR1daXCdXX1CA0NybMcvw9vsJ87luSkJFTU1Ji0aDXGJma8ef4YgFJa0jMfpbR0CPsSBEDIt5nrk/vd6TdqGiZmFty6cpa1i6eyYsvePM3Ag9i33tnJAavadTG3sJSEN23WgnYdOmFkZEyAvx8uWzYyYcwI9ngfQVlZOU9yvVycqVLdChOz/PtAnjtxkN2uG0lIiKeMiSnLHLfw19nc3VxuXL1CTEw0Xbr3yvJ8YmIiLpvW0b5TV9Q1NPKdrh8ZO20+W9bYMKpfRxQUFJGTl2PK3KVUrVkbgOAAPwAOeG1nxMSZVDCvxJXzp1gyezybPPP3GjsjTZu3oH1Hcfn4+/uxdfNGxo0Zwb48lk92FFXd/pFq1WuydKU9JuVNCQ8LxdN9O2NHDGb/4T/Q1NJit6c7CgoK9B/0e4F15MTZM6d5/tyXfd6Hi1Tum9evGDl0EElJiaiVKIHTuk0Sn98mTZvTrn1HDI2MCfD3Z9vWjUwYO4I9B/6dZVScumR9P8qO4so7WekJ8Pfj2OEDDBwynOGjxuH79AnOTnYoKSvTpVvPTPETExNx2biODoXs737sV8PDQgHQ/sE+HR3dLP3k/63IC07vBeY/MXhv3bo1Dx8+JDQ0FDc3N/r3788///yDgUHWfpmJiYkkJiZKhaWkpORb7/GjR2jarAUGBqULlO7vBAcF4uxoz0YXN1RUVLKM471vD0+fPGLNhi0YGhnz8P49nOxs0NPTy3Jm5Ee6VDXgzscIqcWo31GQl2NJJ0vk5WDDNenPEZ9+lj7Y/xAej19kAtsH1cRCX53XIbH5tLR4+XFmVyQS5esNiWGZ8izdsIv42Bh8bl1lxzob5tlneJ2fhfzvYSKReF1Ay069adauGwAmFSvx/PFd/rx4ir7DJ+UpDavtVvL69Us8vPZJhXfo1EXyv7mFJVWqVadbx7b8eeMabdrl/mEu942r+fjuNbYbPHKNmxXN23amZt1GRISHcvLgbtbaLKB+nVooKGT2k87IqRNHaNSkWZY+0ynJySyznoMoLY05C4rmgzunjuznpe8TFtmtx6C0Ec8e3WfbOnu0dfSwqteItG/l1LF7X9p1Ft9cK1hU5vH9O1w6c4KsW2PudPyhfKpWq06XDm25eeMabfNQPrlR2Lr9I02aZXABsrCkRi0r+nbvyOk/jlOnbn289+9m574jRfKG8UeCAgNxdLBlm+uObPu/glLe1JR9B48SHR3NlUsXWL7EGlePXVSoaJ6pDVWtVo1undrluQ3lRlGXUXHpKo77UW4UV94VtZ60tDQqV63OxKkzAahUuSrv373h2KEDmQbvKcnJLLWeTZoordAfgcuuX5Wj+OqgwL+L/8TgXV1dHXNzc8zNzWnUqBEWFhZ4eHhgbW2dZXx7e3tWrFghFdayZf58sQMC/Pnn71usXb+pwOn+zgvfZ0SEhzFicD9JWGpqKg/u3+Ow9z4u//kPLpvWs9p5E81aiNNpYVmJVy9fsHeXV66dZemSytQpp8myMy8znVOQl2NZZ0uMSqkw+5iv1Kx7VrwOiSU5NY0yWqr/2sG7tpY2CgoKhIaGSoWHh4ehq5v3NzKKSkqUNi4HgKlFFT689uXSSW86/zYUgK8RYWjppMuLjoqQzMZraovDjTLs5AJgVNaU8JCgPOl3tF/JjWtXcPPcQ2lDwxzj6usbYGRszKdPH3OV677Jkbu3b7BynRu6+gV78FTXKIm6RkmMy5pgWaUGw3u1wlBfB1NT02yvCQoM4N6dv7Fz2pDpXEpyMksWzCYwwI+N2zyLZNY9MTGBPe6bsF7pTL3G4jUMphUteffmJce9d2NVrxE6umJ/53I/7BJUtrwZIV+CKGugXeh0QIby+Zh7+eREUdXt3FBTK0FFc0s+f/qIvLw8EeHh9OqS7sucmprKRmdHDuzdxfEzlwqly9f3GeFhYQzqn76WIjU1FZ97dzmwfy93HzzJ9aEwO5SUlClnIl6/ULVadXyfPWH/3t0sWroiU1w9fQOMjI3y1IZyorjKSFa6ZH0/Km57ilOPnp4+ZhUqSoWZmlXk6uWLUmEpycksWjCLAH9/Nm8vXH+XVb+q882G8LBQ9DJs3BEREY62jm4mGf9WhOeMgvPvdm7OBpFIlGlmPSPW1tZERUVJ/Zo3b55t/Kw4cewoOjq6NG/RqpCphXoNG7Pv8Al2ex+V/KpUrU7HLt3Y7X2U1NQ0UlJSkP9h9Ya8vDxpabnv/NKpqgGR8cn8/T5CKvz7wL2MlipzjvvyNSH3tw+mOmooKcgTHpuUa9yfhZKyMlWqVuPvW39Jhf996xa1rGoXWK5IBCnJSeiVNkZTW5dnD+9IzqUkJ/Py6QPMK9cAQK+0EVo6+gT7f5KSERzwmf+xd9ZhVSxtAP8hKSGSAiohggGK3d2d1752dwfYiYKigoEoit2d167r9arYgnWviiCNIJ3n++PowUPXOer99sezz8OZnZ1339l3ZmffnXlXz9A4FzkiVq1YwtUrl3Df5kXpMmVyPbfIyM8EBwXmuPhOJBKx1XUVf9+6yqLV7pQyLp1t3vwiEolytcWzp46jo6NL/UbSCz2/Ddw/fvzAus2eaGcR3rQgpKakkJKSgkKGdqOoqCh5M2JoZIKuvgEBH99L5fn08QOGpXK+TvlBcn0KGQFLVradkaSkJN6/+xd9fQPad+zCnkMn2HXgmGQzMDBkwKBhrN+0tdCy6tarx5ETpzl49IRks7GxpUOnzhw8eqLAA/esEInE84OzQnyNgn6ZayQrWbK+H+WEvOpOVnKqVKuB33vpt9d+H95LLUT9NnD39/uAq3vh+7us+lWT0mXQ09Pn/t93JGnJyUk89n5AFbuitUGBn5Mf7nmPiYnh7du3kt/v3r3j8ePH6Orqoqenx/Lly+nSpQvGxsaEh4ezadMm/P396dWrV7ZlqqqqZnodqKSUd1XT0tI4deIYnbt2y9dx2aGhoSGJfvCN4sWLo61dUpJeo2Zt3NauRlVVDWMTEx4+uM/5M6eYPH12jmUrAO0qGXLRN5Q0UXp6MQVY1MEaKwMNHE6/pJiCAjrq4jBp0QkppKSJMNFWpWUFA/5+/5mo+BTMdYszprEZb0JieB4YnW8942Jj8fNLH8wG+Pvz0tcXbW3tIg+fNnDwUObOmUVlW1vs7Kpz9PBBAgMD6dUnb3GIj+3ajG3N+ujqG5IQH8e9m5d49fwhUxatRUFBgVZd+nDu8E5KmZSllElZzh7aiYqqGnWbil+3Kygo0LbHAE7t20oZCyvKWljx19VzBPl/YOycFTnKXrl8CRfOn8Fl/UbUNTQkczA1NbVQU1MjLi6WLZs20LJ1G/T1Dfj0KYCNrmspWVJHKtZ4Rra6ruTWlQvMWepCcXV1PkeIvU7qGpqofo07H/0lirCQICLCxTI/fRR7IUvq6qGjq0/QJ3/uXL+IXa36lNAuSURYKMcPeKGiooZJDtcwLS2Ns6eO075TV6k2k5KSwtzZU3n90hendRtJS00l/Ku+JbS1UVbOee5xfFwcgQHpCyuDgwL4980rtEqUwKCUMbZ2NfHavA4VFTUMjYx5/tiba3+cYdj4aYD4OnXvM5j9Xu6YW1p/nfN+mgC/98xe7MzNsweylBsXF8vH7205wJ9XL30poa2NtrY27ps20LJVGwwMxNfHbb34+hTFdw0Ka9tZ4eriRKMmzTEyNiYiIpwd27YQGxtDh85d0S5ZMtMAQ1FJCT19fczMLQqpDWhoaGL13XoOgOLq6pTULpkpPT9sdF1Lg0aNKVXKmLi4WP64cA7vB/dw3eRBXFwsHps30qJVa/T1Dfn0KYBNbl/b0NfoHIVBFtdIXrJkeT/6EfrIU07fAYMYNXQAXp5baNm6HT4vnnHy2GHmzFsEiPs7h1lTePXSl9XrN+W7v8tIdv2qgoICvfsPZNf2rZQpa0ZZUzN2bfdAVU2N1u06Flg/eSPMeS84P3zw/uDBA5o3Tw/5NW2a+KY7ePBg3N3defnyJTt37iQsLAw9PT1q167NrVu3sLGxkdk53f3rDoGBn+jWPXPceVmxbNVqNrquZaHDLL58icLI2IQxEybTo1efHI+raapNqRKqmaLMGGiq0rCceIrHtv7SkXmmHn3Bk4AvJKeKqFFWmx52RhRXUSQ0Oom77z+z629/qQeBvPLixXNGDE0Pm7jayRGALl27s3TFyvwXmAPt2ncgKvIzHps3ERoaQnkraza6e2Bikjdv85fICDxdFhEVEU5xDU3KmFsyZdFaSYSZdj0HkpSUyN7NzsTGRFPO2oZpS9ZLYrwDtO7al+SkJA5uW0ds9BfKWlgxbcl6Sez47DhyaD8Ao4ZJfwBn4dIVdOnag2LFFHn79jVnT58kOjoafQMDatWug6PzWjQ0sn/9+scp8WLABdNGSaWPn7mQFu26AHD/zg02OqdPKXBZJp561nvQKPoMHo2Kiio+zx5z5uh+YmO+oK2jR+Wq1Vnhtp27F49mK/v+338RHBRIx649pNJDQ4K5feMaAEP6Sbcnty07qFEr5xCsb1/5MG/qSMnv7RvXANCibWcm2y9hxoKV7NrqhstyB2K+fMGglDG/jxhPuy7pD/ddeg0gKSkRz41riImOwtzSmsWrN2Ncumy2cn1ePGfksMGS32ucxfbbuUs3HOYv4u2b15w5fZLoL+LrU7t2HVatzvn65JXC2nZWhAQHs8B+BpGRn9HR0cWmih2eO/dLhbn71QgPD2PB3NmEhYaiqamFlbU1rps8qFe/IQkJCbx9830b0qdW7bqscHIpkhjYsrhGP4OsbxT0fpQX5KWPLORUtqnCytWubN6wlh1bN2NsUoYpM+bQtkNnQNzf3fra3w3qK90XbvTwyrW/y0h2/SrAgMHDSUxMZM3KpURHf6GybVXWbdwqxHj/P+GHD96bNWsmXgiYDceOHZPj2Yhp0LARj59nnj9elGz23Cn1W0/fgAVLcvbYZsUDvyhauP6VKT04OjHL9O8JjUli6tEX+ZaZHbXr1OXJC9nW2/f06TeAPv0GFOjYIZNy/rKjgoICXfuPpGv/kTnm69BrkFSc97zg/fRljvvV1NTY6J7/haZHr3jnmqdFuy6SgXxW6OobMM/RNd+y69ZvyJ/emW3J2KR0lul5pUr1Wpy8nn3oMx09fSbPyTy/OSO/DRgmFec9N2rVrsujZ9lfp01bCrYQOK8UxrazYtmqNfnKX9h57rnh6bW70GUsWLw8231qamqZvqdQ1BT1NfqRsorqfpRX5FV3spDTqEkzGmUzndbYpDR/PfQpMlnZ9asgvkcNHz2e4aPHF5k8eSM43gvOLznnXUBAQEBAQEBAQOD/kR/ueRcQEBAQEBAQEPj/QvAeFxyh7gQEBAQEBAQEBAR+EQTPu4CAgICAgICAgFwRPihVcATPu4CAgICAgICAgMAvguB5FxAQEBAQEBAQkCuC373gKIhyitP4H2Lx4tzDyQkICAgICAgI/BdZuHDhjz4FKXY9+Jh7pkIyqFb23/P4lRE87wICAgICAgICAnJF+MJqwfm/GrxPn7NApuWvWbkEgJn2spUD4OwolrUzqrZM5QzWvg/A7LmyfWJftXyxXOX0Gz1TpnIA9m9xBmRvD99soeeI6TKVc3Sb+EM/U2bNl6mcdU5LAeg2bJpM5QCc2O4CyK9vkJd9T5iR80fICsuG1eIPJMlaH0jXaeKMeTKV47Z6GfDf6+umzpZtewVYu0rcZv9rdTdppmxtztV5mVzkfC9L4L/B/9XgXUBAQEBAQEBA4Mcj+N0LjhBtRkBAQEBAQEBAQOAXQRi8CwgICAgICAgIyBUFBdlvBcXR0REFBQWmTJkiSROJRCxatAgTExOKFy9Os2bNePHihdRxiYmJTJw4EX19fTQ0NOjSpQv+/v4FP5Fs+OHTZm7evImzszPe3t4EBgZy/PhxunXrlmXe0aNH4+Hhwdq1a6UqtKBs37aFa1cu8f7dv6iqqlG1WnUmTZmOuUW5LPMvX7KAY0cOMX2mPf0HDs6XLO8H99nl5YmPzwvCQkNxWbeB5i1bSfYvmDuH06dOSB1Tpaodu/YezLZMBQUFprW3pmsNEwxKqBLyJZGj9/3ZcOkt38cQsjTUYHanitS11EVBQYE3wdFM3PmIT5EJAOwbV5d65fWkyj796BOTdz/Ol44AB/fvxWuHJ2GhoViWt2LWHAdq1KyV73JywnPrFq5cusi7d/+iqqZGtWrVmTJtRrbXLTueP/Hm2P5d/PPah4jwMByWuVC/cXPJ/s5Nq2d53NAxU+jRL/36v3z+hN3bNvLK9xlKSkpYlK/AIqcN2crNzRbi4mJxXbuGa1evEBUViYlJafoOGEjvPv1y1OfYvu3cvXWNAL/3qKiqUsGmKgNHTqK0qbkkz92bV7l45ij/vvYl+ksUqz32YVG+glQ5F88c4/aVC/z75iXxcbHsOnUdDU2tHGV/j5enB5vc1tK3/0CmzXIgJTmZzRvXc+f2TQL8/dHU0qR23fpMmDQdA0PDbMs5vm8H925fI+CjWB/rylX5feRETMqK9UlJSeHAjk08+vtPQoICUNfQpEr1OvQfMRFdfQNJOUGf/Nm9ZR0vnz8mJTkZu1r1GTZxJiV19LKRnLe+YeG8OZzJ0GZtq9ixM4c2m1dk0Y5CQ4LZuN6Fu3dukZiYiKmpGfYLllKxsk2mvKuWLeLkscNMnj6bPgMGFUruN4pap23uG/D02CSVpqunx9lLtwCICA9jo6sL9/76k+iYaKpVr8X02Q6U/a49FAZ59HWyknXk0H6OHjpA4KcAAMpZlmf46HE0bNQEEPdBG9a5cOOauA8yNilNn/6/81vvnPugH6WPvORsdd+A55bMNnfustjmrl25xImjh3jp+4KoyEh2HTiKdYVKMpG11X0Dl/84T3BQEMrKylSoVJkxEyZjW8WuQPIE0rl//z4eHh5UrVpVKt3JyQkXFxe8vLywtrZm2bJltG7dmlevXqGlJb5HTpkyhdOnT3PgwAH09PSYPn06nTp1wtvbG0VFxSI7xx8+eI+NjcXOzo6hQ4fSs2fPbPOdOHGCv//+GxMTkyKT/fDBfXr17Y+NTRVSU1PZ6LaW8WNGcOT4GYqrq0vlvXb1Ms+fPc1xsJET8fHxWFtXpEu3HsyYOinLPA0aNmbxshWS38rKyjmW2ahRI6rVMWXm/ie8DoqhalltVvWtSnR8Cl633gNgqqfOoYn1OfT3R9b98Ybo+GTKl9IkMSVNqqz9f/mx9sJrye/EZOn9eeHC+XM4rXRk7vyFVKtegyOHDjBu9EiOnzqLcRFetwf379Gn3wBsqlQhNSUVN9e1jBk5nGOnzqKe4brlREJ8PBblrWnVoQuO82dk2r/r2CWp395//4mr02IaNG0pSXv5/AkLZ03gtwFDGTV5NsrKSrx7+5piCtm/1MrNFlY7reTBvb9ZvtIJE5PS/HXnTxyXL8HAwJDmLVpmUaKYF08e0q5rL8pXsCEtLZV9nhtZMms863ccQa14cbHOCfFUtLWjQdNWbF6T9QKmpIQEqtWuT7Xa9dm7LfuHkKzwef6M40cPUd46/YEgISGBV74+DBs5FusKFfnyJYq1zo5MnzKOXfuOZF/W04e07doLywqVSU1N5cD2TSybPQEXz8OoFS9OUkIC7968pOfvIzC3tCImOpqdm9bgtGAaKzftFsuOj2f57PGYWVqz0NkdgANem1k1byrL3byylZ3XvqFBw8YsXJr3NpsXZNGOvnyJYvTQ36lRqw4ubu7o6OoR8PEjmlqZH8puXLuCz/On6BsUrK/LCln1DeUsy+O62VPyu9jXm6NIJGL2tIkoKSmxau0GNDQ02b/Hi0ljhrPv6GmKF897PyFPfeQly9DQiAmTp1GmrCkAZ0+fZMbkCew5eBTL8la4OK/E+/49lqxwwtikNHf/+hOnFeI+qGnz7PugH6WPPOWUsyyPm/t3NlcsfUCWEB9PVbvqtGjVFselhV8En5MsUzNzps+eS+kyZUlMTGD/nl1MHjeSIycvoKOrW2jZ8uBn/MJqTEwMAwYMYOvWrSxbln6PFIlErFu3jrlz59KjRw8Adu7cSalSpdi3bx+jR48mKioKT09Pdu/eTatWYofcnj17KFu2LJcvX6Zt27ZFdp4/fPDevn172rdvn2OegIAAJkyYwB9//EHHjh2LTPYG921SvxctcaRVswb4+rygRq30KC4hwcE4rVjKBvdtTJ4wukCyGjVuQqPGTXLMo6Kigv53HsPcKFOmDJdfBHPNNxSAgM/xdK5hQpWy2pI80ztYc903lFVnXknSPkbEZyorITmVsOikPMvOit07d9C9Z096/NYLgFn2c7lz5zaHDu5n8tSii4Sy2cNT6veSZY40b1wfX58X1KyV9+g7teo1ola9Rtnu19HTl/p998/rVKleGyOTMpK0bRvX0LlnX3oNGCZJMyljlqPc3Gzh6ZPHdOrSjVq16wLQs1cfjh4+iM+L5zkO3uevkh5oj5+1iGE9WvHPa19s7GoA0KyNuP2EBH3KtpxOv/UH4PnjBznqkZG4uFjmO8xk7oIlbN/qLknX1NJiw5btUnlnzJ7HkN97ExT4CSPjrG+kc1e6Sf0eN3MhI35rzb9vfKlctQbqmprMd5L2TA2dMBOHCYMJCw5Cv5QRr148ISQ4kFXue1HX0JSUM6x7C54/up+tLnntG5Tz2Wbzgiza0R4vT0qVMmLe4uWSNGOT0pnyhYYE47JqOWs3ejBj0tiCKZAFsuobFBUV0cui/j/6feD5syfsPXyScpZWgDjqU4dWjbh04Rxduv9WYJkgv75OVrKaNGsu9XvcxCkcPXSA50+fYFneimdPHtOxc1dq1q4DQI/fenP8iLgPKuzgXV51J2+bA2jfqQsAn76+0SgsOclq276T1O8p02dz+sRR3r55Re269YtE/n+BxMREEhMTpdJUVVVRVVXNMv/48ePp2LEjrVq1khq8v3v3jqCgINq0aSNVTtOmTblz5w6jR4/G29ub5ORkqTwmJibY2tpy586dIh28//Rz3tPS0hg4cCAzZ87Exibz692iJCYmGoAS2umD37S0NOY7zGLgkOFYlreSqfwHD+7RomkDunZqy5JF84kID88xv5+fHw2s9LAw0ACgookWtSx0uO4bAojnezWvZMi70Fi8RtXm3uKWHJvcgNa2pTKV1aWGCQ+WtOLCrMbYd66Ihmr+Xu8kJyXh6/OC+g2kB8P1GzTkyeNH+Sorv8REZ75uRc3niHAe/HWb1h26SdIiP0fwyucZ2iV1mTluMAO7tWTOpOG8eFo4fatVr8GN61cJCQ5GJBJx/95dPnx4T4OG2T9oZEVcbAwAWiVKFOp88orTiqU0bNyUOvUa5Jo3JiYaBQUFNLXyfm7f9MnpmLjYGBQUFFDXFA/Uk5OTUEABZWUVSR4VFRUUihXj5fPHeZadVd8A4P3gHq2aNqB757YszUObzQ1ZtaPbN65RsbINc2dNpUPLxgzu15OTxw5L5UlLS2PxvDn0HzSUcpblCywrI7LsGz76+dG5TVN6dGrN/DnTCfAXf/QlKUnsiFBRSb9BKyoqoqyszJPHDwslU559nTxkpaamcvH8WeLj46hiVw2AatVrcvPGNUkf9ODe3/h9eJ/pPPKLvOpO1jbXqXVTundszbzZ6TYnC/IqKzk5iRPHDqGpqYWVdUWZnU9RU0wOm6OjI9ra2lKbo6Njludz4MABHj58mOX+oKAgAEqVkh4/lSpVSrIvKCgIFRUVdHR0ss1TVPxwz3turFq1CiUlJSZNynqqSVEhEolwcV5Jteo1KW9lLUn32r4VRSVF+g0YKFP5DRs3oXXbdhgbmxAQ4M+mDa6MGjGEfQePoqKikuUxf/75J28ULLg0uwmpIhGKCgqsOf+a048CAdDTVEFTTYkxLcrhcv41q868pGlFAzYPqUH/zX9z758IAE4+/IR/eByh0YlYG2kxs2MFKpmUYNCWe3k+/8+Rn0lNTUVPT3oesZ6ePmFhoQWsldwRiUSsdnKkeo2aWH133YqaqxdOU1xdnQZNWkjSgj6JF6Hs99rCsLFTsShfgasXzzBv2mg2eh3OrqhcmW0/lyWL5tO2VVOUlJRQUFBgweJlVK9RM89liEQivDa5UKlKNUwtim4glh0XL5zl1UsfvPbmrndiYiIbXF1o274Tml8H2bkhEonY6e5CRdvs9UlKSmSf5wYatmgn8bJbV6qCqpoae7e50W/YeEQiEXu3uSJKSyMyIgxD7eJ5kp1V39CwURNatRG32U8B/mze6MqYEUPYk0ObzQ1ZtaNPAf4cP3KQvgMGM2jYKHyfP2OtsyMqKiq079QVEHvnFZWU6N3v9wLLyQpZ6WRTpSoLljpS1tSciIgwvLZtYdTQ/uw7fBpzcwuMjE3YvGEts+cuonjx4uzfs5PwsDDCQwvXH8mzr5OlrLdvXjNsYD+SkhIprq6O81o3yUPbjDkOLF+8gI5tmqGopEQxBQXmLVxKtXz0QVkhr7qTmc3Zim3O1MyciPAwdmzbwsgh/dl/5DTaJUsW8qzzL+v2zevMnzOdhIQE9PUNcHXfRskMA8f/d+zt7Zk2TfqbIVl53T9+/MjkyZO5ePEiampq2ZaXcaqPSCTKdfpPXvLkl5968O7t7c369et5+PBhvhTP6jVJSkpKjsesWrGUN29e4em1T5Lm6/OcA3t3s/fgUZnPzWrbroPk//JW1lS2saVDm5bcunmdlq3aZHmMjY0NDWqYMGXPY94Ex1DJRIv53SoTHJXAsQcBkq+XXX4Rwvab78U6fYqmhrkOA+qbSgbvB++mP82/DorhfVgsp6Y1wqZ0CYjJnx4FMezC4LhsCW9ev8Zr977cMxeCS+dP0qxVe1S+a/QikXhdQLvOPWnVQTwAsrSuyFPve1w6d5KCDd9g/97dPHv6hHVumzA2Ls1D7/s4LluMvr4B9ern7tUG2Oa6ig//vmG5q2fumQtJcFAgLk6OuG7elu2ryG+kJCczd/Z0RGlpzHLI+5xQTzcn/P59y5J127Lcn5KSwrplDojS0hgxabYkvURJHaYtWMW29Y6cP34ABYViNGzRBgurilLzR3Miq74BoE2GNlvJxpZObVty++Z1WmTTZvNKUbejtLQ0Kla2ZczEKQBUqFiJf/99y7HDB2nfqSsvfV5waP9uduw7IrP2WtQ61W/4/dQza6pUrcZvXdpy7swJ+v0+BEfn9axYMo+2zeqjqKhIrTr1qd+wcYHlZUSefZ0sZJmZm7P30DGio6O5evkii+bbs8VzF+Usy3Ng3x6ePX3CmvWbMDYx4ZH3A1atWIKegQF18/BmLTfkVXdFLadBo+9szsqaKnbV6Nm5LWdPn6D/wCEFLregsmrWrsOuA8eIiozk5LHDzJ01Dc/dB9DVzX4x/s+EPOa85zRF5nu8vb0JCQmhZs30B9TU1FRu3rzJhg0bePVKPPU4KCgIY2NjSZ6QkBCJN97IyIikpCQ+f/4s5X0PCQmhQYPCt5vv+akH77du3SIkJARTU1NJWmpqKtOnT2fdunW8f/8+y+McHR1ZvHixVFrTpk2ZnWVucHJcys3rV9m6Yw+ljIwk6Y+8vYmICKdj23Rva2pqKmvXrGLf3p2cuXC1wLrlhoGBIcYmJvh9+JBtntatW+Ny+V/OPBZ72l8FRlNapzhjW1py7EEAn2OTSE5N401QtNRx/4TEUNMi+6fz5/5fSEpJw9xAI8+Dd52SOigqKhIWFiaVHhERjl6GueNFhePypVy/fpXtO6WvW1Hz4slDAvzeM3vhSql0HT3xXMSy5tJRbsqYWRAaHERpw/x7QBISEnBbvw6X9W40btIMAOsKFXj16iW7d27P0+B9m6sT9+/cZOm6regZZJ4iVdT4+rwgIiKcwf3T5xGnpqby6OEDDh/cx+17T1BUVCQlORn7WVP59MmfTR478ux13+7mhPdfN1ns4pGlPikpKaxdOofQoE8scN4s8bp/w65WPdx2n+RLVCSKiopoaGoxsldbDI1MSIsNy1Te92TXN2SFpM36Zd9mc0NW7UhP3wCLcpZSaeYW5bh+Rbwo+8kjbz5HRNCjQ3rUo9TUVNzWOnNw326OnZVevJ0f5NU3FC+ujmV5az5+rf+KlW3YdeA4MdHRJKcko6Ojy/BBfahYybZQcuTZ18lSlrKyCmVNxetzKtvY4vPiGQf27mbaLHs2ua7Dea0rjb72QVbWFXj9ypc9O3cUavAur7r7UTYnS7KSVby4OmVNzShraoZtVTt+69KO08ePMnj4KJmfz3+Nli1b8uzZM6m0oUOHUrFiRWbPnk25cuUwMjLi0qVLVK8ujkSXlJTEjRs3WLVqFQA1a9ZEWVmZS5cu0bt3bwACAwN5/vw5Tk5ORXq+P/XgfeDAgZIVu99o27YtAwcOZOjQodkel9VrEmdn50z5RCIRTo5LuXb1Mh6euyhdpozU/g6du1CnnvTCjwljR9ChU1e6dO2eX3XyRWTkZ4KDAtE3yH4xnLKyMmnfx4QE0kRIPO7JqSKe+kVRzlB6MGNuoMGnzwnZlmttpImKUjFCviSQ125OWUWFSpVtuHvnT1q2ai1Jv3vnDs1yWGRZEEQiEY7Ll3L1yiU8vXZTpkzZIi0/IxfPnaB8hUqZQiqWMjJBV9+AgI/vpdI/ffxAzboNQZR9HWdHSkoKKSnJKGSIVqNYrBhpaTlHABKJRGxzdeLe7WssXutBKePMCxJlQe269dl/5KRU2pIFczG3sGDQ0BFSA/ePfh/YvHUnJUvm/mAjEonYvsGJe7evs2jNFgyz0OfbwD0owI+Fq7egpV0y2/JKfN33/NF9vkRGUKtBE+5dOpat7Jz6hqyQtNlCLGCVVTuqWq06fu/fSaV9/PBesli4Xccu1MqwyG3q+FG069iZjl0K19fJq29ISkri/bt/sasuPbXjW0Sdj37veenzglFjCzcFU559nXz7VUhKTkrvg4pJ90HFiikiyqUPyg156SNvm6tWvXDTiYpOloik5MIFnpAnP1OsGS0tLWxtpR/sNTQ00NPTk6RPmTKFFStWYGVlhZWVFStWrEBdXZ3+/cVBHrS1tRk+fDjTp09HT08PXV1dZsyYQZUqVTKNZQvLDx+8x8TE8PbtW8nvd+/e8fjxY3R1dTE1Nc00Z01ZWRkjIyMqVKiQsSgJWb0mUVLKrOrK5Uu4cP4MLus3oq6hIZkLp6mphZqaGiVL6mQaZCgpKaGvp5/vmOJxcbF89POT/A4I8OfVS19KfF1A4b5pAy1btcHAwIBPnwJwW7+WkiV1aNEy+wv++vVrxrWqwKfP8bwOisGmTAmGNTXnyL30DwJsvf4vrgOrc+/fCO6+DadJRQNaVjak/6a/AXEoya41TbjuE0pEbBJWRpo4dKnEc/8ovN99pnI+1joOHDyUuXNmUdnWFju76hw9fJDAwEB69embr7rKjRVLF3P+3BnWuW1CQ12DsK9zWDW1tHKcq5aR+Lg4AgPSpwwFBwbw75tXaJYogWEp8WuxuNgY/rx+ieHjpmU6XkFBgR59B7NvhzsWltbiOe9/nMbf7z1zljhz/cyBLOXmZAvGxibUrFWbdS7OqKmpYmxcGu8H9zhz+iTTZs7JUZ+t61dy68oF5ixzobi6Op8jxF4ndQ1NVFXF9RL9JYqwkCAivtr6p49iL05JXT10dMWPap8jwoiMCCfoa918+PctxdXVSUxMzPL1o4aGBpblpdcbFC9eHG3tkliWtyYlJYU5M6fw0tcHF9fNpKalStqatra21GLS7/F0XcXtqxeYtWQNxdXVifxOHxVVNVJTU3BZPIt3b18xe9la0tJSJXk0tbRR+hq28dqFU5Q2taBESR1e+zzFa+MaOvbsL4kXnxW59Q1xcbFs2bSBlq3boK8vbrMbXcVttnkObTYvyKId9RkwiNFDf2enpwctW7fF58UzTh47wux5iwDQLlky05xdJSUl9PT0MTO3KIQ2YmShk+taJxo1aY6RkTGfI8LZsW0LsbExdPg6h//KpQvo6OhSysiYf96+Zq2zI02ataRu/YY/pT7ylLXRdS0NGjWmVClj4uJiuXjhHA8f3MN1kweamprUqFUbVxdn1FTVMDI24aH3fc6dOcmUGdm9v/6x+shLjqvLV5szNibie5vrLLa5qKhIgoMCCQsRB4348HV2gJ6efrZRYwoiKz4+Dq9tW2jctAV6+vpERUVx9NB+QoKDadm66CKayJqfMVRkTsyaNYv4+HjGjRvH58+fqVu3LhcvXpTEeAdYu3YtSkpK9O7dm/j4eFq2bImXl1eRxniHn2Dw/uDBA5o3Tw9b9c1jPnjwYLy8vGQq+8ih/QCMGib9EZKFS1fQpWuPIpXl8+I5I4elf9hnjbN4CkbnLt1wmL+It29ec+b0SaK/RKNvYEDt2nVYtXotGhrZTy04f/48Rg21WdLTFj0tFYKjEtj/10fcLr6R5Ln4LJj5R54ztqUlC7tX5t+QWMZ5PeTBu88AJKem0cBKjyGNzVFXVSQwMoFrPiG4XnxLmig7yVnTrn0HoiI/47F5E6GhIZS3smajuwcmWYSkKwyHDoqv2/Ah0ouIlyxzpGv3vF+3t698cJgyUvLbc+MaAFq068xU+yUA3LzyByIRNGnZLssyuvYaQFJSIts2rCE6OgoLS2uWrNmMcens3wbkZAtLlq9kpbMLbutccJgzky9RURgbmzB+4hR69c75pvPHKXHM9AVTpV+Zjp+1kBbtxCHM7t+5wUan9CllLkvtAeg9aBR9hojDoF48dZRDuzwkeeZPGQFAvXr1KFcufw+tIA61evO6eIrZ732kvbibt+6UhKPLyMXTYn0WTZcOzzpu5kKate1MeGgID/66CcCs0f2l8ixc7Y5NNfHHWD59/MA+z43EREdhWMqEHgOG0rHngBzPObe+oVgxRd6+fc3Z0yeJjha32Vq16+DonHObzQuyaEeVbaqwcvV6Nm9Yx46tmzE2KcPkGbNp26FT7gcXAbLQKTQ4mIX2M4iM/ExJHV1sq9ixbed+SQjM8LBQXF2ciAgPQ1/fgHadujJs5JifVh95yooID2Ph3NmEhYaiqalFeWtrXDd5SB5slq9aw8b1a5lvP5MvX6IwMjZh7IQp9OxV+AG2vOpOFnJCgoNZ8NXmdHR0salih+d3NnfrxjWWLZwryT9/jjgk5fDR4xg5ZkKRyUpMTOT9+3ecOz2ZyMjPaGuXpJKNLe7bd0tCowoUnuvXr0v9VlBQYNGiRSxatCjbY9TU1HBzc8PNzS3bPEXBDx+8N2vWDJEo76PE7Oa5FwTvpy/zfUxB57nXql2XR8+yl7dpS/4XFiYlJbH0hC9LT/jmmO/wPX8Of+eN/57AyAT6bfw737Kzo0+/AfTpl/PAqLA8efEq90x5oEr1Wpy+kXPYsHZdetKuS/YfDwPoNWCYVJz33MjNFvT1DVi8LOtQVjlx9Kp3rnlatOsiGchnR58hoyUDeanyt63J87m4e+6S/G9SujT3Hudso1lx6HLOceYNjUxyzQMwYOREBoycmC/ZufUNampqbHSX3WJgWbSjhk2a0fDrHOa8UJh57llR1DotXZmzPfbuN5De/WQXJUwefZ2sZM3/Lt5/VujrG0h9fKyokVfdFbWcZatytrlOXbrTqZDTzPIiS1VVlVVrXItEzo/kp49V/hMj1J2AgICAgICAgIDAL8IP97wLCAgICAgICAj8f/GrzXn/mRA87wICAgICAgICAgK/CILnXUBAQEBAQEBAQK4IfveCI3jeBQQEBAQEBAQEBH4RFET5CfXyC5Pxi6sCAgICAgICAv8vLFy48EefghQnnwXJXEbXKrL7+vqPRPC8CwgICAgICAgICPwi/F/NeZ89V7ZPnauWi737Mx0WyFQOgPMK8UeEXF7l/6M5+WFahX8B+dWdvOS0+32KTOUAXNizDpCfTn1Hz5SpnANbnAH56dNnlGz1ATjoIdZploNsdXJaIV/7nmkv2z7I2VHc/8haH0jXadLMeTKV4+q8DPjv9XUzZGwLAKvlZA//tbr7Vm8jJ9vLVA7A1vX5/3aIrCkmzHovMILnXUBAQEBAQEBAQOAX4f/K8y4gICAgICAgIPDjEcK8FxzB8y4gICAgICAgICDwiyB43gUEBAQEBAQEBOSKgjDnvcD8cM/7zZs36dy5MyYmJigoKHDixAmp/UOGDEFBQUFqq1evnlzOzXPrFuxsKuDkuLzQZXk/uM/k8WNo3bwx1W0rcu3KZan9IpEI941utG7emHo17RgxZCD/vH2Ta7maako4DqzFs/XdCfLqx8VFbalRTk+yP2rfwCy3SZ0qZ1nekVktiNo3kI61yhZIz4P799K+TQtqV69C3149eOj9oEDlyFrW6YNeLJw8mFE9mzG+X1vWLZlBoP8HqTyDOtTJcjt7ZLdUvje+T3GcM5YR3ZswplcLVsweQ1JiQoH1KqjdPX/izdI5kxnSozVdmlbn7q1rUvvj4+JwX7eSob+15bfW9Rg3sAfnThyS7I/+EsWWdSsZ+3s3fmtTn2G92uOxfhWxMdEF1qUw+gC8eOLNMvvJDOnZmq7NstZpy7qVDPutLb3a1GP8oB6cP5muU3DgJ7o2q57l9uf1S/k6l9jYGJxWLqd96+bUrVmVQQP68vzZ03zrlBdk0Y68H9xn8oQxtG7RmOpVMvdBAP/++w+TJ46lcf1aNKxbg0ED+hAY+KnQsqHoddrqvoF61StLbR1aNZbsj4uLZfXKZXRu25ym9arTp0cnjh46UFg1JPwqfV1WbN+2hd/7/kajujVo2bQB0yaN5/27fyX7k5OTWe+ymt7dO9OgTnXatGjMfIfZhIYEF1YVQH51J8t21KZFY2pk0Y7Cw8JYOHcObVo0pkHtaowfMwK/D+9zLffJowc4TJ/Abx1b0LxuFW7fuCK1XyQS4bV1E791bEHbJrWYMnYo7/59m6mcF88eM23ccNo3rUOnlg2YMnYoiQkFvx8J/Jz88MF7bGwsdnZ2bNiwIds87dq1IzAwULKdO3dO5uf1/NlTjhw+iLV1hSIpLz4+HusKFZnjMD/L/V7bt7FnlxdzHOaz58Bh9PQNGDNyGLGxMTmW6zayPs2rGDN68580mH2Gq88COeHQCmOd4gBYjT0stY3bcoe0NBGn7vllKmtc+0oUJuj/hfPncFrpyMhRYzl45AQ1atRk3OiRBH4qmpt/Ucp6+fwhrTr1YoGLJ7OXu5GamorT3IkkJsRL8rjuOSe1jZgyHwUFBWo3bCHJ88b3KavnT8a2Rj0WrdvBonVetOrcC4ViBWtahbG7xPh4LMpbM2rKnCz3e25YzcN7d5g2dzkbdx2jS68BeLg6cfe2eEAcERZKRHgoQ8dOxW3HISbbL+bhvTu4ORX8GwmFbUcJCfGYW1ozenI2Om0U6zR17nI27Pyq03on/v6qk75hKbyOXpLa+g0dg5pacWrUaZivc1m8YB53/7rDMkcnDh8/Tf0GDRkzcijBwUUzoPmGrNpRfHw81tbZ90EfP/oxbFB/LCzKsXX7Lg4eOcnI0WNRVVEtlFyQnU7lLMtz9tINybb30EnJvnWrV3H3zi0WLV/F/mNn6DdgEC5Oy7l57UoOJeaNX6mvywrvB/fp3bc/O/ceZLPHdlJSUxg3egTxcXEAJCQk8NLXhxGjx7Hv4FFWr3Xjw4f3TJk47qfUR55yEr62o9lZtCORSMS0yePx9/dnresm9h06hrGxCWNGDpPUbU7lWlpZM2mGQ5b7D+zezuF9u5g0wwH3HfvR1dVn5sRRxMXGSvK8ePaY2ZPHUqtufTbt2If7jv10/61fge9HskZBQfbbf5UffkXbt2/PsmXL6NGjR7Z5VFVVMTIykmy6uroyPae42FjsZ89k4eJllNDWLpIyGzVuwvhJU2jZuk2mfSKRiH27dzF81Bhatm5DeStrlq5YSUJCAufPnsm2TCUlJbrUMWXBvofceRnCv8HRrDz6lA8hMQxvJR4shUQlSG0dapbllk8Q70OkHwpsTXUY36ES47fcKbCOu3fuoHvPnvT4rRflLC2ZZT8XI2MjDh3cX+AyZSVr5lJXGrfuRBkzS0zLWTNy2gLCQ4N498ZXkqekrr7U9vDuDSpVrYmhcWlJnn0e62jdpQ+dew+mjJklRqVNqdOoJcrKKvnWqbB2V7NeI34fMZ4GTVpmuf+lz1NatO1Eleq1KGVsQrsuPbGwtObtKx8AzMqVx37pGuo0bIpx6bLY1ajD7yMmcO/OTVJTUuSuD0DNumKd6mej06sXT2nRLl2ntp17YlE+XSdFRUV09PSltru3rtGoRRuKq6vn+TwSEhK4cvkiU6bNpGat2piamjF2/ERMSpfh8MF9BdItO2TVjiR9UKvMfRDABtd1NGrclCnTZlKxUmXKlC1L4ybN0NXTyzJ/fpCVToqKiujpG0g2ne/uDc+fPqZDp27UrFUHE5PSdOvZm/LWFfD1eVFYdX6pvi4rNrpvo0u3HliWt8K6QkUWL3UkKPATPl/rRktLi81bt9OmXXvMLcpR1a4as+3n4evzotBvYuRVd7KS0zCHduT34T3Pnj7BYf5CbGyrYG5RDvt5C4mPi+XC+bM5llu3QWOGj5lEk+atMu0TiUQcObCH34eOpEnzVlhYWjFn4XISEhK4/Ed6uRvXOtOjd3/6Dx6BRbnylDE1o2nLNqio5P9+JPBz88MH73nh+vXrGBoaYm1tzciRIwkJCZGpvBXLltCkSVPq1W8gUznfCPD3JywslPoN0j2BKioq1KxVmyePH2V7XLFixVBSLEZicqpUekJyKvUqGGTKb1BCjbbVSrPruvSrtuIqinhOaMRMr3uERBXs9VpyUhK+Pi+o36CRVHr9Bg1z1OFnkRX/9Q2HplbWg8yoz+E8uf8nTdp0kaR9iYzgn1fPKVFShyXThzOhfzuWzxrNqxePC3QOsra7ylWqce/PG4SHhiASiXj68D6fPn6gRu3s5cXFRqOuroGiUv6Xx8ijHVXKqNOj+wR8/ED1bHR6+8qHd29f0apDt3zJSU1NITU1FVVVaS+0mpoajx4+LOjpZ0Ke7eh70tLSuH3zOqZm5owbPZwWTRswsH/vLKfW5BdZ6vTRz49OrZvSvWNr5s2eToD/R8k+u2o1uHXjGiEhwYhEIrzv/83HD++p2yB/b1wy8qv3dVkR/XVqnHYOD9kx0dEoKCigpVWiwHLkpc+PakdJSUkAqHzXTygqKqKsrMLjh94FLjfwkz8R4WHUqpver6moqGBXvSYvnj0B4HNEOL4vnlJSV5cJI36nR7umTB4zhGePi65/KmqKoSDz7b/KTz94b9++PXv37uXq1ausWbOG+/fv06JFCxITE2Ui7/y5s/j6+jBp6nSZlJ8VYWGhAJk8XHp6eoSHhWV7XFJSEn+/DmFm9yoYlSxOMQUFeje0oJalPkYli2fK379JOWISkjl9X3rKjOPAWtx7E8o5b/8C6/A58jOpqanoZdJBX6JfUVHUskQiEfu2rsPaxo4y5pZZ5rl9+SxqxTWo1bC5JC0kKACA43u30qxtN2YsXY95+Qqssh9PUEDmaUk5IQ+7GzlpNmXNyzH0t7b0aFmHRbPGM2aqPZWrVs8y/5eoSA7u2kq7Lr/lW5a82tE3nYb1akvPVnVYnItOl8+doIyZBZVsq+VLjoaGJlXtquPhvomQkGBSU1M5e/okz54+ISys6JwJ8mxH3xMREU5cXBw7tm+lQcPGbN7iSfMWrZg+dSIP7t8rVNmy0snGtioLljqybtNW7OcvJjw8jJFD+hMVGQnAtNkOWJSzpEvb5jSqY8eU8aOYab+AatVrFkadX7qvywqRSISL80qq1ahJeSvrLPMkJibium4N7Tp0QlNTs8Cy5FV3P6odmVuUw9jEhA3rXPgSFUVychI7tnkQFhZKaCHkRoSHA6CjK62Pjq4eEeHiMUJggPj+vXPrZjp27cmq9e5YV6jE9Akj8PeTXs8l8Ovz00eb6dOnj+R/W1tbatWqhZmZGWfPns12qk1iYmKmwX1KHl77BwUG4rRyOe4e2zN52OSBQoYJWiJR5rSMjN70JxtGN+DVpt9ISU3jyfsIDt95h5155qlFvzcrz6E/35GYnCZJa1+jDE1sjGhsn/MrvYLrIMpVhx8ta9cmZz6+e8u81R7Z5rl56TT1m7dF5bv5v6I08QqBFu170KRNZwDMLSvg8/gBNy+epoRy3uTLy+7OHN3Pa59nzFuxDgMjY148eYj7Wkd09PSpVkt6EXhcbAxL5kyirFk5+g4ZlS858mxHZ47u55XPM+auWIdhqe900s2sU2JiAjcvn6f3oJEFkrXc0YlFCxxo06IJioqKVKxUmfYdOvHS16coVJFCnu0IxJ53gGbNWvD7oCEAVKhYiSdPHnHk8AFq1a5TaBlFrVODRk3Sf1hZU8WuGj07t+Xs6RP0HziEQ/v38PzZE5zXbcTI2ITHDx/g7LgEPX196tQr/NugX7Gvy4qVy5fy5vUrtu/MevpXcnIy9jOnIRKJsJ9XNF82lVfdybsdKSsr4+ziypKF82jWqC6KiorUqVefht/baiHI6ty/paWJxPejTt170b5zdwCsKlTi4YO/OX/6eJHIL2r+y3PSZc1PP3jPiLGxMWZmZrx5k30kFkdHRxYvll5k17Rp01zL9vF5QUR4OP16pz8UpKam4v3gPgf27+X+o2coKioW/OSzQV9fPMUlPCwMAwNDSXpERHiu803fhcTQcelF1FWV0CquTHBkPDsmNuZDqPSc9voVDLE20Wao6y2p9CY2RlgYauG3rY9U+u4pTbjzMoSrh7fkSQedkjooKioSluFNQUREOHp6+nkqI68Upaxdm5159PdN5jptQVe/VJZ5Xj1/RKD/B8bPkY6WUvKrF8TE1EIq3bisOeGhQZQwydtcYXnYXWJiAru3umG/zIXa9cUROSwsrXn39hXHD+6WGujGxcWyaOZ4ihcvjsMyF5SU8vgUIkd9vum0Z5sb9ktdqPVVJ3NLa/59+4oTGXQCuHPjMomJCTRv26lA8sqamuLptYf4uDhiYmMwMDBk1vQpmJQuU2hdviHPdiQlV0cHJSUlylmWl0ovZ2HJo0cFf90P8tOpeHF1LMtb89HvAwkJCWx2W8cqFzcaNhb3/VbWFXj96iX7dnsVavD+q/Z1WbFqxVJuXr/KNq89lDIyyrQ/OTmZOTOmEhDgzxZPr0J53UF+dfej2hFAZRtbDhw5QXR0NCnJyejo6jKof28qVbYtcJnfxgER4WHo6adPif0cES7xxuvpi/UytygndaypeTmCgwMppVeywPIFfj5++mkzGQkPD+fjx48YGxtnm8fe3p6oqCiprXHjxtnm/0bdevU4cuI0B4+ekGw2NrZ06NSZg0dPyGTgDlC6TBn09Q24+1f6YtHk5CS8H9zHrlrWr/8zEpeYQnBkPCU1VGhR1STTFJiBzcrz6N9wnvt9lkpfe+o5DeacoZH9WckGYL/bm/Fb/sqzDsoqKlSqbMPdO39Kpd+9cyfPOshTlkgkYtcmZ7zvXGeO4yYMjEpnm/fGxVOYl6+IaTnpV8r6pUzQ0TPIFGIyKMAPfcPs7TMj8rC71JQUUlJSKJbB1VGsmCKitPQ3MXGxMSycPhYlZWXmrVgnNXfzZ9IH0nVSKCatk6KiIiJRWqb8l8+eoHaDpmiXLNyC9+Lq6hgYGPIlKoo7d27TrEXWi2kLgjzbkZRcZRUq29jy4f07qfQPH95jbGxSuLLlpFNSUhLv3/2Lvr5Bum0oZLSNYpK3DAXlV+vrskIkErFy+RKuXrnEFk8vSpfJ/AD6beDu5/cB9607KFlSp8DyviGvuvtR7eh7tLS00NHVxe/De3xePKdZixa5H5QNxiZl0NXT58G99HtycnIyTx55Y1PFDgAj49LoGxjyMUNYSn+/D5QyKlwblhVCtJmC88M97zExMbx9m76A8t27dzx+/BhdXV10dXVZtGgRPXv2xNjYmPfv3+Pg4IC+vj7du3fPtkxVVdVMr+uV8rDgTkNDE6sMc/6Kq6tTUrtkpvT8EhcXy0e/9HnQAQH+vHrpSwltbYyNTeg/cBCeW7dgamqGqZkZnlu3oKamRvuOOXsJW1Y1BhR4G/iFcqW0WNK/Bm8Dv7DnRnqdahVXpltdM+btzRzj9lsUmoz4h8eKvff5GOcMHDyUuXNmUdnWFju76hw9fJDAwEB69emb90LkJGvnJifuXv+DKQtWo1ZcncgIsYdGXUMTFVU1Sb74uBju3bpC/xGTM5WhoKBA+56/c3yPB6blrDArZ82ty2cJ9P/AxLkreXTlSJ7OpajsLj4ujsCA9AV7wYEB/PvmFVolSmBQyhjbajXZ4b4OFVU18bSZx95c++MMw8ZPA8Q2umDGOBITEpg2bzlxsbGSMGQl8nHjLsp2lEmnoAw62dXEa/M6VFTUMDQy5nkGnb4R6O/Hi6cPWbDSLV/yv+fOn7cQiUSYm1vg5+fH2jVOmJtb0LVb9pGyCoKs2lFufdDgocOZPWMaNWrWoladuty5fYubN66xdfuuwqokE51cXZxo1KQ5RsbGRESEs2PbFmJjY+jQuSsamppUr1mbDetWo6qmhrGxCQ+973P+zCkmTZv9U+ojT1krly/h/LkzrF2/EXUNDck8cE1NLdTU1EhJSWHWtMm89PVh/UZ3UtNSJXm0tbULFE1LlvrIU05u7ejSHxfQ0dXByMiEt29e47xqOc1atMy0eDYj8XFxBPinlxv4KYC3r1+iVUKbUkbG/Nb3d/Z6baNMWTPKlDVlj9dW1NTUaNW2IyC+H/UZMASvrZuwtKpAeeuK/HH2JH4f3rHI0YVzR/cUSm+Bn4sfPnh/8OABzZunLwKcNk180x08eDCbN2/m2bNn7Nq1i8jISIyNjWnevDkHDx5ES0vrR51ygfB5/pyRwwZLfq9xWglA567dWLJ8JUOGjSAxIQHHZUv48iUK26pV2ezhiYZGzq8pSxRXYWHf6pjoqvM5JpFT9/1YevAxKanpEdt71jdHQQGO3HkvE92+0a59B6IiP+OxeROhoSGUt7Jmo7sHJibZe7V/lKyrZ48CsGL2GKn0kVMX0Lh1+gPT3RuXABH1mrXN+jy69SM5KYl9HmuJif6CaTkrZi13o5Rx0U2lyCtvX/kwd0r6fG7PjWsAaNGuM1PslzBzwUp2ebixZpkDMV++YGBkzO8jxtO+ay8A/nnly2ufZwCM7t9FquytB4pmTUR+efvKh3lT03Xa/k2ntp2ZbL+EGQtWsmurGy7Lv+pUSqxTuy69pMq5fP4kuvqGVKtdv8DnEh0djds6F4KDg9DWLknL1m2YMGkqysr5m1aUG7JqRz4vMvRBzl/7oC7iPqhFy9bMXbCI7ds8cFq5HDNzC5xdXKleo3ALPEE2OoUEB7PAfgaRkZ/R0dHFpoodnjv3Y/y1zGUrV7PJbS2LHGbx5UsURsYmjB4/mR69+uRS8o/RR56yDn8Nlzhy2CCp9EVLV9ClWw9CgoO4cf0qAH1/6yaVx2P7TmrVrltg2fKqO1m2o1HftSOX79rR4uUrCQsLwcV5JeHh4egbGNCpc1dGjhmba7mvfF8wddwwye9N65wBaNuxC3MWLKfvwGEkJiayzmkZ0dFfqGRTBWfXLahraEiO+a3fQJKSEtm4zonoL1+wtLJmtasHpcsU7KOLskb4wmrB+eGD92bNmiESZf9poD/++EOOZ5MZT6/duWfKA7Xq1OXR85fZ7ldQUGDM+ImMGT8xX+Ue//sDx//OeSW519U3eF3N/Wut39DuX3Cd+/QbQJ9+Awp8vLxk7TqXtwgazdt3p3n77N/yAHTuPZjOvQfnmCe/FMTuqlSvxakb2YdB09HTZ7J99h9cyu34wlDQdlSlei1OXs9Fpzm5f0Rq4MiJDByZv7aVkbbtOtC2XYdClZFXZNGOatWuy6Nn2fdBAN2696Rb955FKvcbRa3TslVrctyvp2/A/MUrikxeRn6Vvi4rHuZiByaly+SapzDIq+5k1Y5yqpt+AwbRb8CgbPdnR7Watbn297Ns9ysoKDBk5DiGjMz5Q1n9B4+g/+AR+ZYv8GvxwwfvAgICAgICAgIC/18UExzvBeaXW7AqICAgICAgICAg8P+K4HkXEBAQEBAQEBCQK8Kc94IjeN4FBAQEBAQEBAQEfhEEz7uAgICAgICAgIBc+S/HYZc1CqKcQr38h8j4xVUBAQEBAQEBgf8XFi5c+KNPQYprr8JlLqN5hbx96fxXQ/C8CwgICAgICAgIyBVhznvB+b8avM9ykO1Tp9MKsXd/psMCmcoBcF6xBICVj4xlKmdO9UAAZs+Vbd2tWr5YrnLGT58rUzkAG9csB2D6HNnaw5qVYlsw7zgsl5yF4/3Z7YD82lH/MbNkKgdgn7sTIPs2+629ysu+p82ZL1M5LiuXArLXB+TfN/zX5EybLVtbAHBZJR97kHfdTZVx3a39Wm8z7GU/ZljtuETmMgTkx//V4F1AQEBAQEBAQODHI8R5LzhCtBkBAQEBAQEBAQGBXwTB8y4gICAgICAgICBXhDnvBeeHD95v3ryJs7Mz3t7eBAYGcvz4cbp16yaVx9fXl9mzZ3Pjxg3S0tKwsbHh0KFDmJqaFvn5pKSk4L7JjXNnTxMeFoa+gQFdunZn5OhxFCtW8BcV3g/us2uHJz4+LwgLDcVl/Qaat2wl2X/l0kWOHj6Ir88LIiMjOXDkOBUqVpIqo5gCKBcTh1dauHAhBw4cgEdfpPLM7VuT4W0qUlJDlftvQpiy5U98P36W7B/WpiJ9mpSnWjl9SqirYDTAi6jYJKkyqpXTY9mgutS0MkBFIRVfX98863lw/168dngSFhqKZXkrZs1xoEbNWvmpqnzhuXULrutcGPD7IGbZF24ee89OrQkK/JQpvUevvkyePgePza78dfsWnwL80dDUpHbd+oyZOBUDA8N8ydm+bQvXrlzi/bt/UVVVo2q16kyaMh1zi3KSPFs2ufHHhXMEBwWhrKxMpco2jJs4hSpV7fIk487JfVw/tJ3a7XrQeuA4UlNSuHF4B/88/pvI0CBUi2tgblud5n1HoKWjD0BkaBCbpvyeZXndJ82neL60hODgYNa7OPPn7VskJiZgambOoiXLqWxjm+cynj/25uiBnfzzypeI8FDmLnehfuMWUnk+vv+XHe7ref7EG1FaGqYWlsxe7IRhKWOCAwMY3qdjlmXPWeyUrdzc2qv7RvH1Cfru+kyYlPfrkxtF3Y52bPPIZHMTp0zH3MJCkicuLha3dS7cuHqFqKhIjE1K07f/7/zWp19RqCTzvsFz6xauXLrIu3f/oqqmRrVq1ZkybYZUuypK5NnXFbWsI4f2c+TQAQI/BQBQzrI8I0aPo2GjJgBs2byBi1L9T2XGTZiC7U9q3/KSc+TQfo5mqLfh39VbbbtKWR43aeoMBg4Zni9Z27dt4erlr21WTQ07u+pMmpp+n0hOTmaT23r+vHUD/wB/NDU1qVuvAZOmTMPAsFSBdZQnQqjIgvPDp83ExsZiZ2fHhg0bstz/zz//0KhRIypWrMj169d58uQJ8+fPR01NTSbns8NzK0cOHWCOwwKOnTrHlGkz2bnDk/17dxeq3Pj4eKwrVGSOQ9YLYOLj47GrXoOJU6bnWE6aCJJTs943vbsdk7pUYarHnzSaeZzgz/GcXdwBTTVlSR51VSUuPfyI85FHWZZhrKPO2cUd+SfwC01mnmDv3r0YGBignAdLuXD+HE4rHRk5aiwHj5ygRo2ajBs9ksBPmQfERcHzZ085cvgg1tYViqS8bbsPcuqP65Jt3aZtADRv1ZaEhARevfRlyIgxbN97mBWr1+P34T2zp07It5yHD+7Tq29/vPYcZJPHdlJTUxg/ZgTxcXGSPKZm5sx2mM/BY6fw3LkXY5PSjB8znM8REbmW/+mflzy6dg5D0/RBS3JSAkHv39Cw++8MW7aZnlMWEhHoz+E16QulSugZMGnjIamtcc/BKKuqYWlXJ186fomKYsjAfigpK7PBfStHT55l+sw5aGmVyFc5CQnxlLO0ZsyUOVnuDwz4yKwJQyljZo7j+m247ThE38EjUVFRBUDf0Ijdxy9LbQOGjUWteHFq1m2Urdzc2quZufj6HD52ih279mJiUppxo4YTkYfrkxuyaEffbG7HngNs9PAkNTWFCWOGS9mci9NK/vrzNkscnTh84iz9Bw7GeeVyrl+78lPqlJEH9+/Rp98Adu8/xJatO0hJTWXMyOHEfadjUSHPvk4WsgwNjZgweRq79h1m177D1KpTj+mTJ/DP2zcAmJmZM8t+HgeOnmSb1x5x/zN2RJ76nx+hj7zkfKu3nfsOs/Nrvc34rt7OX7kptc1fvBwFBQWat2qTb1neD+7Tu29/du49yGaP7aSkpjBudPp9IiEhgZe+PowYPY59B4+yeq0bHz68Z8rEcQXWT+DX4Yd73tu3b0/79u2z3T937lw6dOiAk1O6l6xcOdl4UgCePnlMs+YtadK0GQClS5fhwrmz+Lx4XqhyGzVuQqPGTbLd36lLVwA+BfhnmydNJN6yY3znKjgdfsTJu+8BGLH+Gh92DqRPk/J4XhR7zzecFuvR2DbrKDXta5uSnJrGFI/biETwqVQg586dY8yYMaSkQU4fBdi9cwfde/akx2+9AJhlP5c7d25z6OB+Jk/N+aEkv8TFxmI/eyYLFy9j65bNRVKmjo6u1O/dXtsoXaYs1WvWRkFBgfVfB/PfmDbLgRGD+hIU+AkjY5M8y9ngLl3OoiWOtGrWAF+fF9SoVRuA9h07S8uaOYeTx4/w5vUr6tSrn23ZSQnxnNrkSIcRU/nzxF5Jupq6Jv3tpT3NbQZPwGvBBKLCgtHWL0WxYopolpSug9cPblO5XjNU1PLnd9+xfStGRkYsWeYoSStduky+ygCoVa8RteplP8jetXUDteo1YtjYqZI0I5N0OYqKiujo6Usd89etqzRu3pbi6urZlptbe814fabPmsOJY+LrUzeH65MXZNGO3Ny3Sv1euGQFrZs1lLK5p08e06lLV2rVFj+o9fitN8cOH8T3xXOaNW9ZCI3k0zds9vCU+r1kmSPNG9fH1+cFNb/qWFTIs6+ThawmzZpL/R4/cQpHDx3g2dMnWJa3ol2HTlL7p86Yw8njR3nz5hV16v589i0vORnrbdzXenv+td709Q2k9t+8fpWatetSpkzZfMvamOE+sXipIy2bNsDnqz1raWmxeet2qTyz7ecxsF8vAgM/YZyPe9KPQnC8F5wf7nnPibS0NM6ePYu1tTVt27bF0NCQunXrcuLECZnJrF6jJn//fZcP798B8OrlSx499KZRk6Yyk1kUmJfSwlhXncuP0wf/SSlp3HoeSL2KeX+FpqqsSHJKGt9/uislJQXIeWV4clISvj4vqN9AeqBVv0FDnjzO2stfGFYsW0KTJk2pV79BkZcNkJycxMVzZ+jYtQcK2bzbi4mJQUFBId/e5MzlRANQQls723M5duQgmlpaWFWomGNZf3i5YlmtLha2NXOVmxgfCwoKqKlrZrk/8N1rgj/8g12z7B+us+PGtatUtrFlxrRJNG9Snz6/dePokUP5Licn0tLSePDXLUzKmjF/+lgGdGnOtNG/89etq9ke8/aVD/++eUWbjt2K7DySk5M4dlh8faxzuT65liWndpSVzVWrUZOb168REhyMSCTiwb2/8fvwPtO55Bd59w3fiInOuV0VFHnqIw9Zqamp/HH+LPHxcVS1q5b5HJKTOH70kNi+rX8N+5ZXvV38Wm9Vsqi38PAwbt+6QdfuPYtEXvTXNqudgz3HREcXyT1J4Ofnh3vecyIkJISYmBhWrlzJsmXLWLVqFRcuXKBHjx5cu3aNpk2LfkA9dPhIYqKj6da5PYqKiqSmpjJh0lTaZ/BE/GwYlRR7EUMi46XSQ6LiMTXIenCWFdeffmLV0PpM7VaVDWeeo6amRosWLXI97nPkZ1JTU9HTk/6amZ6ePmFhoXmWnxfOnzuLr68P+w4eKdJyv+fmtavExETToXO3LPcnJiay2W0trdt1REMz7/WbEZFIhIvzSqpVr0l5K2vpc7hxDYdZ00lIiEffwIBNW7ajo6OTbVkv/rpG0Ls3DF26KVe5KUlJXDvgiU2DFqiqa2SZ58n18+iZmFLG2iZ/SgH+/h85fHA/vw8ayoiRY3j+7ClOjstQUVahc9du+S4vK6I+RxAfH8eRvdsZOGI8Q8dMxvvvO6yYN50V67dSpVrmua0Xzx6nrFk5KlWpVmj5N69fY87M9Ovj7pHz9ckL8mhHYptblcnmZs5xYNmiBXRo3QxFJSWKKSgwb9FSqtXI/UEwJ+TZN3xDJBKx2smR6jVqYpWhXRUWeeojS1lv37xm6MB+JCUlUlxdHee1bpSzLC/Zf+vGNRxmzxDbt74BG909KfkL2Les5bx985phOdTbN86eOoGGugbNW7YulDz47j5RI/N94huJiYm4rltDuw6d0CzEPUmeFBMmvReYn3rwnpaWBkDXrl2ZOlX8WrxatWrcuXMHd3f3bAfviYmJJCYmSqV98x7nxh/nz3H2zCkcV63Bsnx5Xr30xXmVIwaGhnTp2r0Q2sgHUYaJLQog5UXPDd+Pnxnpeo2VQ+uzZGAdEKVx7969PJeR0UstEomy9VwXhKDAQJxWLsfdYzuqqqpFVm5Gzpw8Sr0GjbJcjJqSnMxC+xmI0tKYUciP4axasZQ3b17h6bUv077ateuy//BxIj9/5vixw8yZMYWdew+hq5f5c8+xsbFcOrORfnNWoaSikqPM1JQUTmxYhkiURrshk7LMk5yUyIs7V2nULesFrLmRliaiso0tk6ZMA6Bipcr88/Ythw/tL7LBe5pI3D/Ua9SMbr0HAlDOqiK+z59w/uSRTIP3xMQEblw+T59Bo4pEfu06dTlwVHx9jh05zKwZU9i9L+vrk19k2Y6cVizl7ZtXbPPaK5V+YO8enj19govrJoxNTHjo/YBVy5egb2BA3XqFf8Ml677hexyXLeHN69d47c7crooKeeojC1lm5ubsO3SM6Ohorl6+yKL59nh47pIMRGvVrsu+Q8eIjPzM8aOHsZ85Fa89B396+5a1HDNzc/ZmqLct39XbN06dOEa7Dp2K5D61cvlS3rx+xfadWdtzcnIy9jOnIRKJsJ8n+w+nCfx4furBu76+PkpKSlSuXFkqvVKlSty+fTvb4xwdHVm8eLFUWl699GvXODF0xCjadRBHqLCyrkBg4Ce2b9vyUw/egyLFi1hKlVQn6HO6991Au3gmb3xuHLz5Dwdv/oOhdnFGV/gIQP36DXKc765TUgdFRUXCwsKk0iMiwtHLMOe4MPj4vCAiPJx+vXtI0lJTU/F+cJ8D+/dy/9EzFBUVCyUjKPATD+7dZYXz+kz7UpKTmT9nOoGf/HF131Eor7uT41JuXr/K1h17KGVklGl/cXV1ypqaUdbUjCp21ejWqS0njh9h2IjRmfJGREQQ9yWS7fPGStJEaWn4vXzGg4snmL3zPMWKKZKaksJxt6VEhgbR38E5W6/7y79vkpyYiG3jgnmNDAwMsLS0lEqzKFeOy5f/KFB5WVFCWwdFRSXKmknLKWtmgc+zzK/G/7x+mcSEBFq2K5q3aMXV1TE1NcPU1IyqdtXo0qEtx48dYfjIzNcnr8i6HTk5LuPm9Wt47NgtZXMJCQlsdF3H6nWuNGrSDBD3fa9f+rLHa0ehBu/y6hu+4bh8KdevX2X7zqzbVWGRpz6ylKWsrEJZUzMAKtvY4vPiGfv37mbuAvG9U6r/qVqN7p3bcvLEUYYOL/jDr7zqTt71dmDvbhwWpI85Hj18wIf371jh5FIoWSB28Ny8fpVtXlnbc3JyMnNmTCUgwJ8tnl6/jNcdhDnvheGnnvOuoqJC7dq1efXqlVT669evMTMzy/Y4e3t7oqKipLbGjRvnSWZCQkKmVznFiimSltNK0Z+A98HRBEbE0bJa+mI9ZaViNLY15u7L4AKVGRIVT3JyMjY24mkTOVWBsooKlSrbcPfOn1Lpd+/cwa5a9QLJz4q69epx5MRpDh49IdlsbGzp0KkzB4+eKPTAHeDsqePo6OhSv5H0gsVvA/ePHz+wbrMn2iVLFqh8kUjEqhVLuHrlEu7bvChdJm8LOUUiEclJSVnuMzIyYsTKrQxfsUWyGZezxrZBS4av2CI1cI8ICqCfvRPqWtnPnXxy4zxWNeqjUaJkQVTErnoN3n9dN/KNDx/eY2xcukDlZYWysjJWFSsT8PG9VHqA/wcMjTIvyL549jh1GjZDO8Oi3CIjh+uTV2TVjsQ2t5RrVy6xeduOTDaXkpJCSkoyCgrSt4RiioqSNxwFRV59g0gkYsWyJVy5fJGt23cWaJFgXpCXPvKWJRKJ57fntD/pJ7XvHyUHvtZLhno7efwolSrbFGoNjEgkYuVy8X1ii2fW94lvA3c/vw+4b91ByZKFm9Yk8Ovwwz3vMTExvH37VvL73bt3PH78GF1dXUxNTZk5cyZ9+vShSZMmNG/enAsXLnD69GmuX7+ebZmqqqqZXlUpKeVN1SbNmrNtqztGxibiaTO+vuzZtaPQi07i4mL56Ocn+R0Q4M+rl76U0NbG2NiEqKhIggIDCQkJAeD9O/HAR09fX2oF+/ePFTo6OlS1UOZzdAIfw2LZePoZM3+rxttPUbwNjGLWb9WJT0zh4M30+i1VsjildNSxNBIvaLE10yU6PpmPoTF8jhFPNRrTwYa7L4OISUihdu0ytG7dmpQ83L8HDh7K3DmzqGxri51ddY4ePkhgYCC9+vQtaLVlQkNDM9Mc1uLq6pTULlkkc1vT0tI4e+o47Tt1lbKZlJQU5s6eyuuXvjit20haairhX+dOltDWRlk556kq37Ny+RIunD+Dy/qNqGtoSOZgampqoaamRnxcHJ5b3WnarAX6BgZERkZy+OB+QoKDaNWmXZZlKisrY1jWQjpNVY3iWiUwLGtBWmoqx9YvJuj9W3rPWIYoLY2YSHHYt+KaWigqpYcTjQgKwO/lM/rMXJ5nnTLy+8DBDBnYj20e7rRp157nz55y9Mgh5i9ckq9y4uPiCAxIbzfBgQH8++YlmiW0MSxlTI9+Q3BaNAsbuxpUrV4b77/vcO/OTRzXS0dq+OTvx4snD1nklHVI2ozk1F5Lapdkm4c7TZuLr09UZCSHDuwnODiI1m2zvj75QRbtaNXyJVw4f5Y16zdkaXOamprUqFWb9S7OqKqpYWxswkPv+5w7fZKpM2b/lDplZMXSxZw/d4Z1bpvQUNcgLPSrjlpaRR5aWB76yFLWRte1NGjUmFKljImLi+WPC+fwfnAP100exMfFsX3bFpo0a46+vgFRUd/1P63b/pT6yEtOxnq7eOEcD7/W2zdiYmK4cvEPpkyfVajzX7l8CefPnWFtNveJlJQUZk2bzEtfH9ZvdCc1LVWSRzuf96QfhuB6LzA/fPD+4MEDmjdPD780bZp4juzgwYPx8vKie/fuuLu74+joyKRJk6hQoQJHjx6lUaPCRUDIjjkO89joth7HZYuJiAjHwMCQnr36MHrs+EKV6/P8OSOHDZb8XuO0EoDOXbuxZPlKbly7ysJ5DunnMVNcD6PHjmfM+ImAONqLmlK6tbdt25a2bWH31VeMcr3BmuNPUFNVYt3oRuhoqnD/dQidFp0jJiFZcsyIdpWZ1zd9AdrlFV0AGOl6nT1XXwNQy8qAeX1rollcmc/hoZw5c4b2nXOfMtSufQeiIj/jsXkToaEhlLeyZqO7ByYmRedtlTX3//6L4KBAOnbtIZUeGhLM7RvXABjST/pBzm3LDmrUynsc9COH9gMwatggqfSFS1fQpWsPiikq8v79O85Mn0Tk589olyyJjU0VtnntxbK8VUHU4ktEKG8e/gWAp4P0tI4Bc1djVrma5PfTGxfQ0tGnXJWCf8zEtkpVXNZtwHW9Cx7uGyldugwzZzvQsVOXfJXz5tULHCaPlPzetmENAC3bdWaqw1IaNGnBuOnzOLzHE4/1TpQ2NcNhyWpsqkp71y6dO4GeviHVa+ctzF1O7XXugsW8f/eO06e+uz62Vdi+s+DX53tk0Y6OHDoAwOjvdAKxzXX+Oh1whdMaNq5fy3z7mXyJisLI2ISxE6fQs3fhB1Xy6BsOHRS3q+FDBkqlL1nmSNfuPbI6pMDIs6+Thazw8DAWzJ1NWGgomppaWFlb47rJg3r1G5KYmMj7d/9y5tQJIiPF9l3Zpgpbd+z5ae1bXnIiwsNY+F29lf9ab3XrN5TkuXjhHCJEtG2f9cfh8srhr/Y8MsN9YtHSFXTp1oOQ4CBuXBdH1ur7WzepPB7bd1Krdt1CyRf4ufnhg/dmzZohymU15LBhwxg2bJhczkdDQ5NZc+Yya07hvtaZkVp16vLo+cts93fp1oMu3XK+waSJIC5ZXFfOK8QezJWPpKcHLD/gzfID3tmWkdt+gBHrr0v+n1M9ECBPg3eAPv0G0KffgDzlLSo8vQr3Aa3vqVu/IX96v8iUbmxSOsv0guD9NHs7APGbo9Vr3Qot5/d56fMtSxoY4bD3cp6Oa9ZnOM365O9rgFnRpFnzTHGR80vV6rU5c/NxjnnadOyWa+jHwaMmMXhU1otzsyK39rpmfeGvT04UdTt68DT3ryTr6xuwcOmKIpOZEVn3DU9evMo9UxEiz76uqGUtWJz9WzVVVVWci6D/yQl51V1Ry5mfQ719o8dvvenxW+9Cy3r4LOf7hEnpMrnm+dlREFzvBeannvMuICAgICAgICAgIJDOD/e8CwgICAgICAgI/H8hhHkvOILnXUBAQEBAQEBAQOAXQfC8CwgICAgICAgIyBXB8V5wBM+7gICAgICAgICAwC+C4HkXEBAQEBAQEBCQL4LrvcAoiHKL0/gfYfHixblnEhAQEBAQEBD4D7Jw4cIffQpS3H8XJXMZtS2y/5L4r4zgeRcQEBAQEBAQEJArQpz3gvN/NXif6bBApuV/+3DSDHvZygFY7SiW1XHQVJnKObtrLQCz58r2iX3V8sVylTNhRtF+hCsrNqwWf9BjloNsdXJaIdapad+JMpVz44D4wy3y0mfoxDkylQOww0385VR59Q3ysm95XSNZ6wPpOk2bPV+mclxWLQX+e32dR1BVmcoBGGX0FPjv1Z28bE6e9yOB/wb/V4N3AQEBAQEBAQGBH48Q573gCNFmBAQEBAQEBAQEBH4RBM+7gICAgICAgICAXBEc7wXnhw/eb968ibOzM97e3gQGBnL8+HG6desm2a+QzXsVJycnZs6cWWj53g/us2uHJz4+LwgLDcVl/Qaat2wFQHJyMpvc1nP71g38/f3R1NSkbr0GTJo6DUPDUvmX4+WJ71c5a9alywEIDwvDde1q/vrrT2Kio6lesxaz7edhamaebZkvXrzg7sRBfPL/gIqKKlaVq9J32ARMykofE+D3jgOebvg+e4hIJKK0WTkmOTiib2gk1jMpiX3b1nPn+h8kJyZiU602QybMRs8g7zp6bt3ClUsXeffuX1TV1KhWrTpTps3A3KJcvuopPxzcvxevHZ6EhYZiWd6KWXMcqFGzVqHKDA0JZuN6F+7euUViYiKmpmbYL1hKxco2kjzv//2HTa4uPHr4AFFaGhblyrN01RqMjE0KLDc2NoaNbuu5duUyERHhVKhYmVlzHLCtkvf5qjfOHePG+WOEhwQCYGxajk59h2Fbsz4AD+9c59YfJ/jw9iWx0VHMW7eTsuWssyxLJBLhtngaLx7eZazDSqrVa5ovfTZvdGPL5g1SaXp6+ly58We+ynn66AGH93rx+pUvEWGhLFq5joZNWwCQkpLMji0buHfnFkGf/FHX1KJGrboMHzcFfQNDAIICAxjYo32WZc9btjpbuTn1CyCuny2bNnD0yCGiv3zBtkpV7OctwLK8Vb70yw5Z2HZGiuoa5ZWi1unIof0cOXSAwE8BAJSzLM+I0eNo2KiJJM+7f//Bdd0aHnrfR5SWRjnL8qx0XluotiorfWQpS0NViVldKtHOzgQ9LVVefIxkweGnPPkQKckzrWNFBjQyR1tdhUfvI5h74AmvA6OlyqlpocvsrpWpbq5DcmoaL/yjGLjhjtz1+VFy8mJz31i+ZCHHjx5i2sw59P99cIHk5XY/alDDJsvjxk+ezoDBwwokU+DX4IdPm4mNjcXOzo4NGzZkuT8wMFBq2759OwoKCvTs2bNI5MfHx2NdoSJzHDIvTElISMDXx4eRo8ex/9BR1qxzw+/De6ZMGJdvOQnx8VhbV2R2FnJEIhHTJo/H39+fta6b2HfoGMbGJowZOYz4uLhsywwJCaFV514sXrudOY4bSE1NZeXciSQkxEvyBH/yZ8n0kRiXNWee0xYcN+2le7/hKKuoSPLs3uLC/TvXmThnOQvWbCMhIZ7VC6eSlpqaZ/0e3L9Hn34D2L3/EFu27iAlNZUxI4cTl8P5F4YL58/htNKRkaPGcvDICWrUqMm40SMJ/PSpwGV++RLF6KG/o6SkhIubO/uOnGLi1FloamlJ8vh/9GPM8IGYmVuwwcOLnQeOMWTkGFRUVQulz+IF87j71x2WOTpx+Php6jdoyJiRQwkODs5zGSX1Deg+eBwOLjtwcNlBxao12bR8Fp/8/gUgKTEey0pV6DE4d/u9cupAtg/OecWyvBWXr9+WbIePn853GQkJ8ZSzqsCE6faZ9iUmJPD2lS+/Dx3NJq+DLHR0wf/jBxbMmiTJY2BoxMEzV6W2QSPGoVa8OHXqN8pWbk79AoDX9m3s2eXFHIf57DlwGD19A8aMHEZsbEy+dcyILGw7O4riGuUFWehkaGjEhMnT2LXvMLv2HaZWnXpMnzyBf96+AcRtdcSQAZhbWLBl2072HT7BiFFjUVEpXFuVlT6ylLX69+o0rmjIJK8HtFp2hRu+IRyY3AgjbTUAxrWxYlTL8sw7+JSOq64R+iWR/ZMaoqGa7t+raaHLnokNuOETQsdV1+m48jpe1/8lLZ/BpuVVdz/C5r5x/eplXjx/isFXJ0JByMv96PTF61Kbw8JlKCgo0Kxl6wLLlSsKctj+o/xwz3v79u1p3z5rzxiAkZGR1O+TJ0/SvHlzypUrGo9uo8ZNaNQ481MzgJaWFu7btkulzbafx+/9ehEY+AnjfHhvGjZuQsNs5Ph9eM+zp084fPy0xHNnP28hrZo24ML5s3Tv2SvL45o3b07TNp0lv0dPW8DYvm1498aXSlVqAHBo5ybsajeg/4j0AY2hcRnJ/3GxMVz/4yRjZy7GtkZdAMbNWsLEgZ14/uhenvXb7OEp9XvJMkeaN66Pr88Lataqnedy8srunTvo3rMnPX4T180s+7ncuXObQwf3M3nq9AKVucfLk1KljJi3OH1VvrFJaak8Wza6Ur9hE8ZPmSFJK12mbIHkfSMhIYErly+y1nWTpK7Gjp/ItauXOXxwHxMm5S2ikF2dxlK/uw0cw43zx/j35XNMTMtRr7m4nYUFB+ZYzsd3b7h88gD2a7Yza3CnAmgkRlFREX19gwIfD1CnfmPq1G+c5T4NTS1WuXpIpU2YZs+E4f0JCQrE0MgYRUVFdPX0pfL8eeMqzVq2o7i6erZyc+oXRCIR+3bvYvioMbRs3QaApStW0rJpQ86fPcNvvfvmR8VMyMK2s6MorlFekIVOTZo1l/o9fuIUjh46wLOnT7Asb8VGt3U0aNSEyVPT39CWKWRb/YY8r1FhZakpF6NDdROGud/l77fhALicfUk7O2MGNbXA6ZQvI1qUx/XCK84/Fg9sp+z05vGq9nSvXYY9t98DsKhXFbZf+4eNF19Lyn4XGit3fX6knNxsDiAkOBgnx2W4bd7KlIljCnz+ebkf6WVou7duXKVGrTqFvicJ/Pz8cM97fggODubs2bMMHz78h51DdEw0CgoKaGmVKLIyk5KSAKS8t4qKiigrq/D4oXeey4mLE3v9NL+eW1paGo/v/YlxaVNWOkxkbJ82LJg8hAd3rkuOeffGl9SUFKrWqCdJ09EzoKyZJa99nxZYp5ho8evWEtpF/4GE5KQkfH1eUL+BtOe0foOGPHn8qMDl3r5xjYqVbZg7ayodWjZmcL+enDx2WLI/LS2Nv27fwNTMjCnjRtKhZWNGDOrLjWtXCiwTIDU1hdTUVFQzeO/V1NR49PBhgcpMS03l/s1LJCUkUK5ilTwfl5SYgOfqBfQdNR1tHb0Cyf6Gn98HWjdvRIe2LZg9Yyr+Hz8Wqry8EBsTg4KCAhrfeae+5/VLH/5585J2nbsXWEaAvz9hYaHUb9BQkqaiokLNWrULZX8gO9vODnlcI3nolJqayh/nzxIfH0dVu2qkpaXx560bmJmZM2HMCFo3a8jgAX24fvVyoWXJ8xoVhSzFYsVQUixGYnKaVHpCchq1LfUw1VenlLYaN3xCJPuSUtK4+yacWpbiPkBPS4UaFrqERSdyckYTHq9qz5Gpjaltmb8+Ql519yNsDsT3iAVzZzNwyLBCT6HL7X6UkYjwMO7cvknnbj0KJVeeKMjh77/KLzV437lzJ1paWvTo8WOMMzExEde1a2jfoROamppFVq65RTmMTUzYsM6FL1FRJCcnsWObB2FhoYSGheapDJFIxN4ta6lgU42y5uUB+BIZQUJ8HKcP7cSuVn1mr3CjVoNmrFs6C9+n4oeCyM/hKCkro5HhYaSEji5REeEF0kckErHayZHqNWpiZZX1nOrC8DnyM6mpqejpSd849PT0CctjfWXFpwB/jh85SNmyZqzd6EH3nn1Y6+zI+TMnxXIjwomLi2P3Dk/qNWjEuk0eNGneEocZk3nkfb/AcjU0NKlqVx0P902EhASTmprK2dMnefb0CWFhIbkX8B0B798yqXcLxvdsyt7NToxxWImJqUWejz+0bR3lKlahWr2svc55pUrVqixbsYpNWzxZsGgZYWFhDP69L5GRnwtVbk4kJSaybfM6WrTpgIZG1u3zwuljmJqXw6ZqtQLL+WZjupnsT4/wsLAClwuys+2skNc1kqVOb9+8pnG9mjSobYfj8sU4r3WjnGV5Ir62Va/t26jfsBEb3LfRvEUrZk6bhPeDvL9RzAp5XqOikBWbmMKDf8KZ3KECpbTVKKYAPeqUpbq5DqW01TAsIZ46ExadKHVc6JcEDEqIHQpm+hoATO9Yib1/vmeA2x2ef4zk4OSGWBhoyFWfHy0nO5sD2LljG4qKivTtP7BQMiD3+1FGzp0+ibq6Ok1b/CJTZgQKxQ+fNpMftm/fzoABA1BTU8sxX2JiIomJ0h1RSkpKoWQnJyczZ+Y0RCIR9vOL9gMRysrKOLu4smThPJo1qouioiJ16tXPchFMdnhtdMLv3VsWrNkqSROJxJMRa9RvSvse/QEwt6zAG5+nXDl7jEpVa2ZfoEhU4CCsjsuW8Ob1a7x27yvQ8Xkl45xskUhUqHnaaWlpVKxsy5iJUwCoULES//77lmOHD9K+U1fSvtZn42bN6ft1AZJ1hUo8f/KY40cOUr1mwacHLXd0YtECB9q0aIKioiIVK1WmfYdOvPT1yVc5pUqbMW/dTuJiY3h05xpe65YyfcWmPA3gn/x9i1dPvZm7bmdB1ZDQqHH6AlcrwM6uGp3at+b0yRMMHDy00OVnJCUlmeULZiFKS2PizKw/eJKYkMDVi+cZMHRUkcjMbH/ZL7AvfNmFs+2skPc1koVOZubm7Dt0jOjoaK5evsii+fZ4eO6SvBlt2rwFAwYOAcTt+cmTRxw9fJCateoUSi7I5xoVlaxJXt6sGViDhyvbk5KaxrOPkRy//5EqpiWlyswo81tSsa+y9tx+x6G//AB4ceQZDSsY0KeBGRF//yVXfX6knOxsLjExkQN7d7PnwNEi0SW3+1FGzpw6Ttv2nTK9wf2ZEeK8F5xfZvB+69YtXr16xcGDB3PN6+joyOLFi6XSmjZtSuYlb3kjOTmZ2dOnEuDvj8d2ryL1un+jso0tB46cIDo6mpTkZHR0dRnUvzeVKtvmeuzOTc48vHuT+as9pCLEaJUoiaKiIqUzDNxMTC149eIxACV19EhJTiY2+ouU9/1L5GesKlcFUf4WnDouX8r161fZvnMPpTKsVygqdErqoKioSFgGL2dERDh6GeY35wc9fQMsyllKpZlblOP6lQxj7L4AAJewSURBVEsAlCxZEkUlJcwz5DGzKMfTxwWb3vKNsqameHrtIT4ujpjYGAwMDJk1fQompcvkfvB3KCkrY2ginu9oblWJ9299uXr6IL+Pz/1rpS+fPiA0KICp/dpIpbuvdMCqsh21qlbK17l8T3F1dcpbWeP34X2By8iOlJRkls2dSdCnAJw3bMvW637z2iUSE+Jp3b5zlvvzyrc54uFhYVIL0iIiwjN54/OLrGw7L8jqGslSJ2VlFcqamgHiPtTnxTP2793NLPu5KCopZWrPFhbleFzItirPa1RUsj6ExfLb2lsUV1FES02JkC+JbB5em49hcYR8SQDAoIQaIV/SnV76WqoSb3xwlDhPxugzb4OiKa2rToSc9fmRcrKzOYty5YiICKdTuxaSvKmpqaxb48T+vbs4fT5/0ytzux99z+OH3vi9f8fSldlH0BL4b/HLTJvx9PSkZs2a2NnZ5ZrX3t6eqKgoqa1x46wXveXGt4G7n98H3LftoGRJnQKVk1e0tLTQ0dXF78N7fF48p1mLFtnmFYlEeG104v6f15i7ajOGRtKLWZSUlSlnXZlA/w9S6UEBfugbGgNgYVUJRSUlnj36W7L/c3gYHz/8g3WlvIcpFIlErFi2hCuXL7J1+84iWxiWFcoqKlSqbMPdO9Ih7e7euYNdteoFLrdqter4vX8nlfbxw3tJWDllZRUqVbbF7/176Tx+H4ok9ByIB1AGBoZ8iYrizp3bNGvRslDliUQiUpKT85S33W+DmO+6m3nrd0o2gN7DJzN40rxCnUdSUhLv3v2DvkHRLo78NnAP8P/AKlcPSmiXzDbvhdPHqd+4GSV1dAsls3SZMujrG3D3r/QQecnJSXg/uF8o+wPZ2XZekNU1kqdOIpH4Wigrq2BjY8uHDO3Z78P7fAUayAp56lPUsuKTUgn5koi2ujJNKxvyx9NA/MLiCI5KoEml9AdRZUUF6lnp8eAf8dTJj+FxBEbGY1lK+sG4XClNAiLy7uCRV939CJvr0KkL+w+fYO/BY5LNwMCQgYOH4bZ5W77Lze1+9D1nTh6lYiUbrKwrFliPH4EQbKbg/HDPe0xMDG/fvpX8fvfuHY8fP0ZXVxdTU1MAvnz5wuHDh1mzZk2eylRVVc306khJKWtV4+Ji+ejnJ/kdEODPq5e+lNDWxsDAkJnTJvPSx4f1G91JS0uVzJfT1tZGWVklyzLzK8fY2IRLf1xAR1cHIyMT3r55jfOq5TRr0TLTgpvvefDgAQGfApm2cDVqxdWJjBB7GdQ1NFFRFU8t6vjbQNwcHahYpTqV7Wrx9MFfPLx7i3lO7pK8zdp2Za/HOjS1tNHU0mbftnWUNbfEtnodPvrczZN+K5Yu5vy5M6xz24SGugZhoeJ60tTSynWaU0EYOHgoc+fMorKtLXZ21Tl6+CCBgYH06lPwSB99Bgxi9NDf2enpQcvWbfF58YyTx44we94iSZ4Bg4Yyf850qtWoSc1adbh75zZ/3rzOBo8dhdLnzp+3EIlEmJtb4Ofnx9o1TpibW9A1H4uPju/ajG3N+ujolyIxPpb7ty7z+vkjJi1cC0BsdBQRocESOwkKENtjCR09tL/bMqJrUAp9o/wNeFycV9GkWXOMjY2JiIhg65bNxMbE0Llr/haKxsfFEeCf3m6CPgXw9vVLSpTQRk/fgCUO03n7ypelqzeQlpZGRLhYN60S2igrK0uOC/jox7PH3ixfszFPcnNrr/0HDsJz6xZMTc0wNTPDc+sW1NTUaN+x4NF5viEL286KorpGeUEWOm10XUuDRo0pVcqYuLhY/rhwDu8H93Dd5PFV5jDsZ02nRs1a1Kpdlzt/3ubWzets2Vb4aWHyukZFJatpJUMUFOCf4BjMDTSY38OWf4JjOHhH7NjZdvUtE9tZ8y4khnehMUxsV4H4pFSO3/eXlOF+6Q3TO1XCxz+KF/5R9KpnimUpLUZ53KNtPkYS8qo7edtcyZI6mZx7SspK6OnrY26e93VH38jL/QjEi/SvXrrIxGmF/+6NwK/DDx+8P3jwgObN08MvTZs2DYDBgwfj5eUFwIEDBxCJRPTr16/I5fs8f87IYekfUFjjtBKAzl27MWbcBG5cuwpA39+6SR23dftOatWpm3c5L54z6js5Ls5f5XTpxuLlKwkLC8HFeSXh4eHoGxjQqXNXRo4Zm2OZb96IY8sumyUdjmrUtAWSEJK1GzZn2ER7Th30YtfmNRiXMWXy/FVUsK0myf/76KkoKiritsKBpKQEbKrVZsbihRRTVMyzfocO7gdg+BDphTpLljnStXvRLzBu174DUZGf8di8idDQEMpbWbPR3QOTDKG08kNlmyqsXL2ezRvWsWPrZoxNyjB5xmzadkgfkDVt0YpZDgvZtWMra50dMTMzZ7nzOuyq57B+IA9ER0fjts6F4OAgtLVL0rJ1GyZMmio1AM21jMgIdqxdTFREOMU1NCltbsmkhWupXF08v/fJvdvsXL9Mkn+bsziGeae+w+ncf0Shzj8jwcFB2M+axufPkejo6lC1ajV27TuU7+vz+uULZoxPjy7l7uoMQOsOXRg0Yix/3boOwJhB0uFUV2/0xK5G+hqEC2eOo29gSM26DfIkN6d+YcnylQwZNoLEhAQcly3hy5cobKtWZbOHZ7ZTdvKDLGw7K4rqGuUFWegUHh7GgrmzCQsNRVNTCytra1w3eVCvvjgKUPOWrbGftxCv7R6sXrUCM3MLVq1ZT7UahWurstJHlrJKFFdmTrfKGJcsTmRcMuceBbDqpA8pX4O0b7r4BjVlRVb0q4a2ujKP3n2mv9ufxCamrxXbdvUfVJUUWfRbFUpqqODjH0U/1z/5EBYL+ZghKa+6+xE2V5Tk5X4EcOmPc4gQ0bpthyI/B5nzX3aNy5gfPnhv1qxZpoUyGRk1ahSjRhXNIrOM1KpTl0fPX2a7P6d9+ZJTuy4Pn2VfVr8Bg+g3YFC+yuzfvz8dB+UeA7xZ2y40a9sl2/0qKqoMHjeTweMK/uT+5MWrAh9bUPr0G0CffgOKtMyGTZrRsEmzHPN06taDTkUcjqttuw60bVe4znfQpKwXan6jQcuONGjZMV9lbjmVv4Vo31i1em2BjsuIXY3aXPor+5ClOe37nuFjJzN87OQ8y82tX1BQUGDM+ImMGT8xz2XmB1nYdkaK6hrllaLWacF38a+zo2v3nnTtXjQf9MuIPK5RUck6/TCA0w8DcszjcvYlLmdzvt9tvPhaKs57QZFX3f0Im/ue/M5zz0he7kfdevamW8/ehZIj8OvxwwfvAgICAgICAgIC/1/8l+Owy5pfZsGqgICAgICAgICAwP87guddQEBAQEBAQEBArghx3guOMHgXEBAQEBAQEBCQK8LYveAI02YEBAQEBAQEBAQEfhEURLmFevmPkPGLqwICAgICAgIC/y8sXLjwR5+CFM8DYmQuw7Z04cP3/owInncBAQEBAQEBAYH/WxwdHalduzZaWloYGhrSrVs3Xr2SDoEtEolYtGgRJiYmFC9enGbNmvHixQupPImJiUycOBF9fX00NDTo0qUL/v7+FDX/V3PeZ9gvkGn5qx2XADDTQbZyAJxXiGWtvJn3j/gUhDlNkgGYPVe2T+yrli+Wq5yx0xxkKgdgs8sKQPb28M0Weo+aIVM5hzxWAzDLQbbXyGmF+Bp1HpL7NwwKy2kvcazz/5p9T5s9X6ZyXFYtBWSvD6TrNGnmPJnKcXUWf8BMsIX8880e5NU3/Ffq7lu9ydq2Id2+fyZ+plCRN27cYPz48dSuXZuUlBTmzp1LmzZt8PHxQUNDAwAnJydcXFzw8vLC2tqaZcuW0bp1a169eoWWlhYAU6ZM4fTp0xw4cAA9PT2mT59Op06d8Pb2RjEfH77Mjf+rwbuAgICAgICAgIDA91y4cEHq944dOzA0NMTb25smTZogEolYt24dc+fOpUcP8Ucad+7cSalSpdi3bx+jR48mKioKT09Pdu/eTatWrQDYs2cPZcuW5fLly7Rt27bIzleYNiMgICAgICAgICBXFBRkvxWUqKgoAHR1dQF49+4dQUFBtGnTRpJHVVWVpk2bcufOHQC8vb1JTk6WymNiYoKtra0kT1EheN4FBAQEBAQEBAT+cyQmJpKYmCiVpqqqiqqqarbHiEQipk2bRqNGjbC1tQUgKCgIgFKlSknlLVWqFB8+fJDkUVFRQUdHJ1Oeb8cXFYLnXUBAQEBAQEBAQK4oyGFzdHREW1tbanN0dMzxvCZMmMDTp0/Zv39/5nPO4M4XiUSZ0jKSlzz55Yd73m/evImzszPe3t4EBgZy/PhxunXrJtkfExPDnDlzOHHiBOHh4ZibmzNp0iTGjh1baNnbt23h6uVLvH/3L6pqatjZVWfS1OmYW5ST5BGJRGzZvIFjRw4R/eULtlWqMmfuAizLW+VLlveD++za4YmPzwvCQkNxWb+B5i3Fc6KSk5PZ5Lae27du4O/vj6amJnXrNWDS1GkYGqY/5RVTAOVi4ldBCxcu5MCBA3DzXyk5cwc1ZnjHapTUUuO+7yemuP6B74cwAExLafNq3/gsz2/A4mMcu/lS8rtdXUscBjaiWnlDkpOTUS4GyWm563lw/168dngSFhqKZXkrZs1xoEbNWvmqq9zwfnAfr+2e+Po8JzQ0lLWuG2nxtS4LQ0pKCjs8NnHpwlnCw8PQ0zegfaeuDB4+mmLFxM+5yxfN5cKZk1LHVbatyhavffk6/+xsAeDKpYscPXwQX58XREZGcuDIcSpUrJRruS+eeHP8wC7+ee3L5/Aw5ixdQ73GzSX7IyPC2bnFlccP/iI2JgabqtUZOXk2JmVMJXmSk5LYsXktt678QVJSAlVr1GH0FHv0DUtlJTJHYmNj2Oi2nmtXLhMREU6FipWZNccB2ypV83T8if07uP/nNT59/ICKiirWlavSb8QETMqaZ5l/27oVXDl3nIFjptKhR//v9A5j71ZXnj38m4S4OIzLmtGt71DqNmmZZ108t27hyqWLvPvaV1SrVp0p02ZI9RVFSVG3oyOH9nPk0AECPwUAUM6yPCNGj6NhoyYALJpvz5lTJ6SOsa1SFa89BwssMyNFrdNW9w14btkklaarp8e5y7cAiIuLZZPrWm5cu8KXqEiMTErTu+/v9Ozdt1B6fEMefZ2sZOVmD1s2b+DihXMEBwWhrKxMpcqVGTdhCrZV7QqlR/s2LSQyv6d33/44zCv6Rai/cr3lZN8pycm4b3Llr9s3Cfg6Zqhdtz7jJk3DwNCwwPr9F7G3t2fatGlSaTl53SdOnMipU6e4efMmZcqUkaQbGRkBYu+6sbGxJD0kJETijTcyMiIpKYnPnz9Led9DQkJo0KBBkejzjR/ueY+NjcXOzo4NGzZkuX/q1KlcuHCBPXv24Ovry9SpU5k4cSInT57MMn9+8H5wn959+7Nz70E2e2wnJTWFcaNHEB8XJ8mzc/s29u7yYrbDfHbvP4yevgFjRw0jNjZ/8Unj4+OxrlCROQ6ZV68nJCTg6+PDyNHj2H/oKGvWueH34T1TJozLlDdNBMmpWcuY3rcek36rw1S3izQa50Xw51jOOvVDs7gKAP6hXzD/bb3UtsTrJjHxSfxx7x9JOd0aV8BzThd2XXiKu7s727dvJzUPXwO4cP4cTisdGTlqLAePnKBGjZqMGz2SwE+f8lZJeSQ+Po4KFSowZ27RRnHZt9OTk0cPMWWWA3sOn2LsxGns372Dowf3SuWr26ARJy5cl2zO6zfnS05OtvBtv131GkycMj1f5SYkJGBhac2oybMz7ROJRDjOm0ZwoD8Oy9eydus+DIyMWTh9DAnx8ZJ8nhtW8/eta8xY4Iij23YS4uNYZj+Z1NRsjC4HFi+Yx92/7rDM0YnDx09Tv0FDxowcSnBwcJ6O9332kDZderFk/XYcVm4gNS0VR/uJUuf7jft/Xufty+fo6Blk2rdx1UIC/T8wY7ELqzz2U7thc9avcODd21eZ8mbHg/v36NNvALv3H2LL1h2kpKYyZuRw4r7rK4oKWbQjQ0MjJkyexq59h9m17zC16tRj+uQJ/PP2jSRPg4aNuXDlpmRbv3FLUagDyK5vKGdZnrOXbki2vYfS7wvrVq/i7p1bLFq+iv3HztBvwCBcnJZz89qVwqojt75OVrJyswczM3Nm2c/jwNGTbPPag7FJacaPHcHniIhC6bL3wBEuX78t2dy37gCgdZt2hSo3K/4L9ZadfSckJPDK14ehI8ewc/8RVq5xxc/vPTOnZO2c+2mRg+tdVVWVEiVKSG1ZDd5FIhETJkzg2LFjXL16FQsLC6n9FhYWGBkZcenSJUlaUlISN27ckAzMa9asibKyslSewMBAnj9//t8bvLdv355ly5ZJVu9m5K+//mLw4ME0a9YMc3NzRo0ahZ2dHQ8ePCi07I3u2+jSrQeW5a2wrlCRxUsdCQr8hI+POG6nSCRi355dDB85hpat2lDeypoly1eSkJDA+bNn8iWrUeMmjJ80hZat22Tap6Wlhfu27bRp1x5zi3JUtavGbPt5+Pq8IDAwvaNJE4m939kNpMf3qIPTvj85efsVPu9DGbHqNMXVlOnT0kZ8fJqI4M+xUluXhtYcue5DbII4JKRiMQVWj2+Ng8dVtp15REREBOHh4aTlYfC+e+cOuvfsSY/felHO0pJZ9nMxMjbi0MHMr54KQ6PGTZkweSqtsqjLwvD82RMaNW1Og0ZNMTYpTfNWbahTtwEvfaTjuCorq6Cnry/ZSmhr50tOTrYA0KlLV0aPHU+9+vXzVW7Nug0ZMGI89bPwKH/y9+OVzzPGTHXAqqINpU3NGT3FnoT4eG5dEa+yj42J5vK5EwwdNxW7WnUpZ1WRqXOX4/fuLU+9/87XuSQkJHDl8kWmTJtJzVq1MTU1Y+z4iZiULsPhg3l7S2G/wo2mbTpT1twSM0trxkxfQFhIEO/e+ErliwgLwWujM+PnLEVRKfPLxDe+z2jbtQ/lK9pQyrgMPQYMR0NDi/dvXmbKmx2bPTzp2r0H5ctbUaFiRZYscyQw8BO+GWyjKJBFO2rSrDmNGjfFzNwCM3MLxk+cgrq6Os+ePpHkUVZRQV/fQLJpa5csAm3EyKpvUFRURE/fQLLpfF1cBvD86WM6dOpGzVp1MDEpTbeevSlvXaFIrpm8+jpZycrNHtp16ETdeg0oU6YsluWtmDpjDrExMbx5k/cH3qzQ1dWVsrGbN65RtqwptWrXKVS5WfFfqLfs7FtTSws3d09atWmPmbkFtlXtmD57Li99XxAUWPQPkP8PjB8/nj179rBv3z60tLQICgoiKCiI+K/OIgUFBaZMmcKKFSs4fvw4z58/Z8iQIairq9O/v/hNr7a2NsOHD2f69OlcuXKFR48e8fvvv1OlShVJ9Jmi4ocP3nOjUaNGnDp1ioCAAEQiEdeuXeP169dFGnLnG9Ex0YD4AgAE+PsTFhZKvQYNJXlUVFSoWbM2T588KnL5Gc9FQUEBLa0SecpvblwSYz1NLj94J0lLSk7l1hM/6tmUzvKY6lZGVLMyYue5J1JppQ1KkJYm4i/3YUybNo3+/fvnGo01OSkJX58X1G/QSCq9foOGPHks27oqKqpWq4H3/b/x+/AegLevX/L0yUPqN2wile+x9306t25Cvx4dWbVsIZ8jwn/A2eaP5OQkQDxA+4aioiJKSsr4PHsMwD+vfUlJSaFa7fSHBl19A0wtLHn54gn5ITU1hdTU1EweDjU1NR49fFggHeK+vu3S/K5NpKWlsXHVQjr1+p2y5pZZHlfB1o6/blwi5ksUaWlp3Ll2keTkJCrb1SzQeQDERIv7ivw+uOWGPNpRamoqf5w/S3x8HFXtqknSvR/co3WzhvTo3I5li+cTEV40di1LnT76+dGpdVO6d2zNvNnTCfD/KNlnV60Gt25cIyQkGJFIhPf9v/n44T11v+vPC4I8+7ofaQ+Sc0hO4vjRQ2hqaWFtXbFIZH4r99yZU3Tt3rPI5wP/V+otJ/vOSEx0/sYMPwMKcvjLK5s3byYqKopmzZphbGws2Q4eTJ86OGvWLKZMmcK4ceOoVasWAQEBXLx4URLjHWDt2rV069aN3r1707BhQ9TV1Tl9+nSRxniHn2DOe264uroycuRIypQpg5KSEsWKFWPbtm00atQo94PzgUgkwsV5JdVq1KS8lTUA4eGhAOjp6Unl1dXTk/KIFzWJiYm4rl1D+w6d0NTM26d9jXTEHxEI+RwrlR7yORbTUlkPMAa3t8P3Qxh3fdLnIFqYiOdpzRvcmNmbL9PcJJz69eujogiJOcyc+Bz5mdTU1Ex1paenT1hYaJ50+NEMGDycmJhofv+tM8WKKZKWlsrIcZNo1a6DJE+9Bo1o3qoNRkYmBH4KYJu7G5PHDGfbnkOofDcw/tkoY2qOQSljdm/dwLjpc1FVK86pQ3v4HBHG5wjx9fkcEY6SsrLU4BhAW0ePzxHh6Gup5VmehoYmVe2q4+G+CYty5dDT0+fCuTM8e/oEUzOzfJ+/SCRi95a1VLCtRlmL8pL0Uwd3oqioSLtu2c9jnjzXkfXL7Rn5WysUFRVRUVVj2kJnSpmUyfaY3M5ltZMj1WvUxOprX1FUyLIdvX3zmqED+5GUlEhxdXWc17pRzlJclw0aNqZV67YYGZvwKSAA902ujBk5hD0HjhbarmWlk41tVRYsdcTUzJyI8DB2bNvCyCH92X/kNNolSzJttgOOSxbSpW1zFJWUKKaggMOCpVSrXvCHNlnqI29ZOdkDwK0b13CYPYOEhHj09Q3Y6O5JyQxRNArD1SuXiY6Opku37kVW5jf+C/WWm31/T2JiIptc19KmfUc08jhmEJBGJMp9eoGCggKLFi1i0aJF2eZRU1PDzc0NNze3Ijy7zPwSg/e7d+9y6tQpzMzMuHnzJuPGjcPY2Djb1xBZhQZKSUnJUc7K5Ut58/oV23dm8Uo/C69AUXsKvpGcnMycmdMQiUTYz8//Ap6MBqigkLVRqqko0aelDSv33JZKL/ZVrVV7/+TErVdUbJLMyZMnsbWtgqJC9lN20uXlfyX2z8KVi+e5dP4MC5atwsKyPG9evcTNZRX6Boa079QVgJZt2kvylytvRYXKNvTq1Jq/bt+gaYvWP+rUc0VJSZnZS5zZ4LSE3zs3o1gxRexq1qFG3Tx4IUWiAn0Jb7mjE4sWONCmRRMUFRWpWKky7Tt04qWvT77L2rHBCb93b1nkslWS9u9rXy6cOMCKTXtytLGDXpuJjY5m7qqNaJUoyf07N1i/bA4LvysrPzguW8Kb16/x2p33Rcr5RRbtyMzcnH2HjhEdHc3VyxdZNN8eD89dlLMsT5vvHlDLW1lT2caGTu1acfvmdVq0KprpaUWtU4NG370Rs7Kmil01enZuy9nTJ+g/cAiH9u/h+bMnOK/biJGxCY8fPsDZcQl6+vrUqVf4+afy7OvkbQ8AtWrXZd+hY0RGfub40cPYz5yK156D6GYYEBeUE8eO0rBRE6mgDEXNr1xvudn3N1KSk5k/ZzppojRmyfgr8kXNLzI0+Cn5qQfv8fHxODg4cPz4cTp27AhA1apVefz4MatXr8528O7o6MjixYul0po2bcqcbOSsWrGUm9evss1rD6W+rigG0Pu6+C08LAwDg/QV3BHh4Zme6IuC5ORkZk+fSoC/Px7bvfLsdQcI+upxL6WrSVBEuvfdoKQGIZGxmfJ3b1IRdVVl9l58LpUe+PXYl18j1ID49aCIrw0tm8G7TkkdFBUVCQsLk0qPiAhHT08/z3r8SDa7rmHA4BG0aiseyFiWtyY4MJA9O7ZJBu8Z0dc3wMjYBH8/P3meaoEoX6Ey6zwPEBsTTUpKCtoldZg5dhDlK4gj2ejo6pGSnExM9Bcp73tUZAQVbatCcmY7yomypqZ4eu0hPi6OmNgYDAwMmTV9Cial8+fx3rHRGe+/brJwjQd6Buk3+pfPH/El8jMTB3SWpKWlpbLHYz3njx/Abfcpgj/5c/HkIZw8Dkim1ZhZWvPq+SMunjpMKe28v00AcFy+lOvXr7J9p3RfUVTIsh0pK6tQ1lT81qOyjS0+L56xf+9u5i5YnCmvvoEhxibG+Pl9KJRMkF/fULy4Opblrfno94GEhAQ2u61jlYsbDRs3BcDKugKvX71k326vQg3e5dnX/Uh7KK6uTllTM8qamlGlajW6d27LyRNHGTp8VKHkAnz6FMDfd++wZp1svJP/xXr73r6/kZKczNzZ0/gUEMBGjx2C1/3/iJ96zntycjLJycmSMH3fUFRUJC0t+7iF9vb2REVFSW2NGzfOlE8kErFy+RKuXrnEFk8vSpeRHlSULlMGfX0D7v6V/mWs5OQkvL3vU9WueiG1k+bbwN3P7wPu23ZQsmT+XrO9D4wkMDyGljXTV0grKxWjsZ0pd19kDs01pL0dZ/96Q1iUdLSMR68DSUhKwaps+sNJsWLFUAByequkrKJCpco23L3zp1T63Tt3sKtWtHUlKxISElAoJu0KKKZYjDRR9rYWFRlJSHAQevq/xgMKgIamFtoldfjk78c/r3yo07AZAJbWlVBSUuLxg7uSvBHhofi9+4eKNgUPEVdcXR0DA0O+REVx585tmrXIW4hGkUjEjg1O3L99jXnOmzE0ll670bhVB1a572Pl5j2STUfPgM69fsd+hSsAiYkJAJn6kGLFFBHl0IdkdS4rli3hyuWLbN2+kzJlyub52Pwgz3YkEqWvhchIZORngoOC0DfIHL0nv8hLp6SkJN6/+xd9fQNSU1JISUnJ5GVVVCyW470jL8jzGv0s9vBtf1JS9vvzw8njx9DV1aNxk2ZFUl5G/ov19r19Q/rA/aPfB9zcPTNNpfkVkEec9/8qP9zzHhMTw9u3byW/3717x+PHj9HV1cXU1JSmTZsyc+ZMihcvjpmZGTdu3GDXrl24uLhkW2ZWX89SyiIKxcrlSzh/7gxr129EXUNDMhdOU1MLNTU1FBQU6P/7ILZv24KpmRmmpmZs37oFNTU12nfslC894+Ji+fiddzYgwJ9XL30pof2/9s46uoqjjcNPiBtxIoQIENzd3YuWCi1eoLg7tDgEgjsE1+DSUty9uCa4hBAhBsR1vj8uXLhEiNwboN88OXtO7szs/Pad2Z2dnX1n1gwbmzwMHzKQe97ezF+8jOTkJOWxmJmZoav7wef045PRwsKCUgXyEB4Ry4tXb1m86xLDf63GI78wHr0MZ8Sv1YiJTWDrMdXVFfI7WFCjlBOtx6RcwzkiOp6Vf1/jz8418Xv1FiurUOUSR59zmenYuStjR42gWIkSlC5dlp3btxIQEMCPP6tnXeX3REdF4ftxWfr5cc/HBzMzM+wdHLKcb7WaddiwegW2dva45i/Iw/s+bN20nu9aKnwyo6OjWeO5mNr1GmJlbUOg/0s8l8zHzNyCWnUzPpM8vXPB3t6BN29eExgQwKtXrwB49lQxCdnK2lrZcKdGTHQ0AS8/TGh6FfiSJw/vY5o7Nza29pw7eYTcZhbY2Nrx/MkjVi6cSaUadSj7boKqsYkpDZq1Zs2SuZjmNsM0txlrls7FybUgpcpX5uGNzH3e+fy5MwghcHFxxdfXl7mzPXBxcaVV69RXlvqU1QtncP7EIYZOnIWhoRGvwxSjaEbGJujpG2Ca2xzT3OYq+2jr6GBmYaVcC94hnwt2DvlYOc+d9r8PxDS3GZfPn+T2tX8ZPnkuft6XMnQs0yZP5MD+fcxbuARjI2NCgt+1FaaKtkKdaOI6WrxgLtVq1MTW1p7o6CgOHdzP1SuXWLDEk+joKDyXLqZeg4ZYW+fB3/8lSxbOxdzcgrpqcgXThE0L5nhQo1Zd7OztCQsLZc3K5URFRdKsRSuMTUwoW74ii+bNQt/AAHt7B65dvcyBfX8xYEjKpVS/BntyUiu98yEmOprVK5dTq05drK1tePPmNdu3evEqKJAGDbO/UERycjJ/7dlFi1atU70vq4tvvdzSO78TExMZPXwQ9+/5MHv+EpKTkwh912fI/UmfQfLf5It33q9cuULduh8+JPN+Mf3OnTuzdu1atmzZwujRo2nfvj1hYWE4OzszdepUevXqlW3t7e+WjOrxWyeV8AmTp9HyXQej82/diY2LZfqUSbx9+4YSJUuxZPkqjI0z93rK+84devzWWfl7tsd0AFq0ak2vPv04deI4AO1+aK2y34rV66hQqTKg8Ec30PnQfW/cuDGNG8OGQ7f43WMfs7dcxEBPl3kDm2Dx7iNNzUduITJG9am/c9NS+IdEcPSK6gee3jN6+XESk5JZNbol5kY6+Pn5EZ+BZb6bNG3Gm9fheC5dQnDwKwq6FWLxMk8cHFJf7Sar3L17h+5dP9TZLA/F19JatmrD5GnTs5zv4OFjWLlsIXOmTyE8PAxraxtaff8jXXooPgimnSsXjx895OA/fxMZ8RYraxvKVqjEhGmzMDI2zrBOeufCpKnTOXXiOOP/GKOMHzVccU307N2XXn37p5nvo/ve/Dn4w6vZ1YsVD7h1G7dg4OiJhIeGsHrxHN6Eh2JhZU2dRs35qVMPlTx+6zuUXNrazJo4iri4OEqVq8gA94lZmikfERHBwnlzCAoKxMzMnPoNG9FvwGB0dXUztP/RfTsBmDxM9VrvNWwctRu1SG2XFOjo6DBi6jy2rFrEzHFDiIuJxjZvPnoPn0DZStUz3Hl/v7xcty4dVcInTXGnVZuMPYxkFE1cR6GhIYwbO5KQ4GBMTExxK1SIBUs8qVK1OrGxsTx6+IB//t5LREQE1jbWVKhYmWkeczDOxHmd0za9Cgpi3OhhvH4djoWFJcVLlmbVOi/s3+U5Zfosliycy4QxI3j79g129g707DuQ73/8+au0Jye10jsf4uLiePb0Cfv+2sPr1+GYmZtTrHhJVqzZmOmPE6bGxQvnCQjwp3WbttnOKz2+9XJL7/z293/JmVMnAOjYTrX9WbxiLeUrqH/pTY3wXx4a1zBaIiNTbP8DTJw4kWEanswxy30SAMPHaH7SyMxpCq3ppzPWEcoqo2op1n8fOVb9X7/7mBlTJ+aoTu8hYz6TMvssnTMN0Pz58P5c+On3YRrV2eY5C4ARYzRbRx7TFHXUostgjeoA/L12LvDfO7+HjEz9A2DqYs6MyYDm7YEPNg0Y/odGdRbMnALIcyErvD8fcqpt+K+U3fty0/S5DYrze/x4zV+vmeFBkPo/cvcphWyNNK7xJfjiI+8SiUQikUgkkv8vsrKKmUTBVz1hVSKRSCQSiUQikXxAjrxLJBKJRCKRSHIUuc571pEj7xKJRCKRSCQSyTeCHHmXSCQSiUQikeQocuA96/xfrTYjkUgkEolE8v/I17bazONXMRrXKJDHUOMaXwI58i6RSCQSiUQiyVnk0HuW+b/qvA/X8DrvM9+t895nyFiN6gAsmTMVgAf5W2lUp9CTvcB/b+3jUm16alQH4Nbu5UDOrRXcqP1Ajeoc3jQfgEEjNGvPPA+FPe17j9CoDsCmpR7Af2dd9Pfnd89Bmv2OwfJ5im8YaHpdb/iwtvd/rY5ySmfoKM1/d2T2dMW9779WdkNGaficm57z30uQ/Df4v+q8SyQSiUQikUi+PHKd96wjV5uRSCQSiUQikUi+EeTIu0QikUgkEokkR5HrvGedL955P336NDNnzuTq1asEBASwe/duWrdurYwPCgpi5MiRHD58mNevX1OrVi0WLlyIm5ubWvSvXrnM+rWr8Pa+S0hwMHPmLaJu/QYqaZ48ecz8ubO4duUyycnJFCjoxoxZc7G3d8iwTmJiIqs9F3Pk4D+EhoZgZW1Ds+at6NytF7lyKV6AnDp+hL27tnHfx5s3b16zZtMO3AoXTTdfC0Nd2pWzp3Te3Ohp5yLwbRyeF3x5FqaYxf19KTuquphjaaxLUpLgaVgM224E8DgkWplHHhM9fi3vQOE8Jujm0uKm/1vWXX7J29jEDNv3nq1em1i7ZhUhwcEUKOjGiFFjKFe+QqbzSY+rVy6zdvUqfLzvEBwczNwFi6n3SZ19jouH9nDx8F7CgwMBsHV0of6PnSlctgoAo36snep+TTv0onarX5S/n9+/wyGvlbx45IO2tg72LgX5bYwHuvr6aWrv2ObFjm1bCPB/CUD+AgXp3rMP1WvUSpF26qTx7N65jSHDR/Frh87p2rRv21qunj9JgN9zdPX0KVi0JD917Ye9o7MyzZvwULatWczd6/8SHRVBoeJl6dBrKHZ5nZRpEhLi2bJyAf+ePkx8XBzFSlekU9/h6Wp/zNpVnixZOJd2v3ZkyIiUvtfukxU2DR42il8+Y9OdG1fZ6bWOR/d9CAsN5o+pc6haq55KGt9nT1izbD53blxFJCfj5FqAUZM8yGNrD8DCmZO5ceVfwkKCMTA0omjJ0nTtNZB8zq5p6makjp4+ecyCebO5dvUyIjmZ/AUKMn3mXOwy0S6khSauo+ioKFYtX8iZk8cIDw/DrVAR+g8dRdFiJQFwnziWg//sVdmnWIlSLF29OVu6TRvVU5bjx/zU7lfG/JF1X19NXUcZJSfaOk1prV65nBPHjvDs6RP09Q0oVaYsAwYNxcU1vzJN+VJFUt134ODhdOraLcvakHNlp26dNSs9U5Rb/0FDcXH90JaEhoawcO5sLl44R0REBOXKVWD46LE4ObuowaKcPe8kXy9fvPMeFRVF6dKl6dq1K23btlWJE0LQunVrdHV12bt3L7lz52bOnDk0aNAAb29vjI2Ns60fExNDoUJFaNn6e4YNHpAi/sULX37r9Cutv/+B3n36Y2JiytOnj9HXS7tzlhqb1q1i785tjJ04Ddf8BbnnfYdpk/7A2MSUn37pqDyWkqXLUrdBY2ZM+fxNzcDAgPFN3PAOjMDj2BPexiZia6pHdHySMk3g21jWXvLjVWQ8etq5aFrUhlH1CzBkjzcRcUno6+RiVIMC+IbHMO3IIwB+KGPPsLqujD/wMFM2HjywH4/p7oz9czxlypZjx7Yt9OnZg91//YO9Q/Y7NO+JiYmmcOHCtGrzPUMH9c9SHrmtbGjSvidWdnkBuHbyIOtnjGXAzJXY5nNlrOculfT3b/zLzqUelKjyoVP//P4dVk8dQd027WnVbSDaOroEPHuEVq70hxPy5LGj38Ah5Mun6DDv+3svQwf2Y9PWnRQo+OGh9OTxo9y9cwsbmzwZsune7evU++4H8hcqRlJSIjvXL2PWHwOYtmwL+gaGCCFYMGUE2to6DPhzJoZGxhzavZmZY/sr0wBs9pzLjX/P0HvEFExym7Fl5XzmThhK9crllQ+aaeF95za7d26jYKHCqcafPH6UO7czblNsbAyuBQvRoFkrpv0xNEV8wMsXjOjblUbftabDb70xMjHhxbMn6H10fRYsXJS6DZthY2tHxNu3bFqzjD+H9GbVtn/S1P1cHfm98KV7l/a0bNOWnr37YWJqyrMnj1V0s4qmriOPqeN4+vgRYye4Y2WThyMH/mZo3x6s27oXmzy2AFSqWoNRf05R7qOrq5ttezZt2UFy8oc26dHDh/Tq0ZWGjZpkK19NXUcZIafaOk1pXbtymR/b/Urx4iVJSkpi8cK59O3VnR2792FoZATAoeNnVPY5f/Y0k8b/Qb2Gjb46e3JK5325FStegqSkJJYsnEe/Xt3Y/q7chBAMG9gPHR0dZs9fjLGxCZs2rKXP778p03xtNn1J5MB71vniPu9NmzZlypQpfP/99yniHj58yMWLF1m6dCkVK1akcOHCLFmyhMjISLy8vNSiX6NmLfoOGET9Bqk3SIsWzKNGzdoMGjKcIkWL4ZgvHzVr1cHSyipTOndv36RG7XpUq1Ebe4e81G3QmEqVq3Hf+64yTZPvWtK1Rx8qVKqaoTyrV69OaFQ8nhde8CQ0mpCoeO4GRvIqMl6Z5vyz19wNjCQ4Mp6Xb2LZdPUlRnraOFkoOmqFbIyxMdZj+XlfXryO5cXrWJaf96WAtTHF7EwyZeOGdWto07Yt3//wI/kLFGDE6LHY2duxbat66uo9NWrWpt/AwTTIxk2kWIXqFClXBRuHfNg45KPxrz3QMzDE94E3AKYWViqb9+Vz5C9eFivbDw3kvnWLqd6sLXXatMc2nyvW9o6UrFoHHV29dLVr1alLjZq1cXZxxdnFlb79B2FkZMTtWzeVaV4FBeHhPoXJ0zzQ0c3YM/awyfOp2bA5eZ3z45S/EN0G/0locCDPHt0DIMj/BY/v3aFz35HkL1QMe0dnOvUZQWxsNBdPHQYgOiqS04f/ol33gRQvWwnnAoX5fdhE/J4/JjAwMF396Ogo/hwznLHjJpHbNHeK+FdBQcyaPoVJ0zzQ0cmYTRWq1KBTj35Ur10/1fj1nouoUKUGv/UZTIFCRbB3cKRStVqYW1gq0zRt+QMlypTH1j4vBQsXpVP3vgS/CuRVoH+aup+ro8UL51GtRi0GDn7XLjjmo0YW2oXU0MR1FBcby+kTR+nVfwily1XAMZ8TXX/vi71DXvbu3KpMp6erh5W1tXLLbWaWbXssLS2xtrZRbqdPnSBfPicqVKyUrXw1dR1lhJxq6zSltWjZSlq2+p4CBd0oVLgIEya5Exjgj89H96OP68za2oaTJ45ToWJlHB3zfXX25JTOwmUraNGqjbLcxk+aRmBAgLLcfJ8/4/atm4z6YzzFS5TExdWVUWPHERMdzaEDaQ8WfEmbJN8mX7zznh5xcXGAYoT5Pdra2ujp6XH27FmN6ycnJ3P29EmcnF3o07Mb9WpXo+OvP3Hi2NFM51WyTFmuXr6I7/NnADx8cI9bN69TpXrNLB9f4cKFeRoWzYBaLiz5sThTvytE3YKWaabXzqVFXTcrouKTeB6ucKvR0dZCAAlJH77VlZCUTHKyoHCejHfeE+Lj8fG+S9VqNVTCq1arzs0b1zNnWA6TnJTEzXPHiI+LxalQ8RTxEa/DuHftAhXrNVOGRb4J58VDb4zNzFkytg9Turdm+bgBPPO5lSntpKQkDh34h5iYaEqVLqM4nuRkxo0dSccuv6mMIGaWmKhIAIxNFB3phATFQ52u3oeHi1za2ujo6PLgrqLD8+zRPZISEylRtrIyjYWVDY7O+QkJCUlXz2PaZKrXrE2lKtVSxCUnJzP+j5F06Jw9mz7N8/KFM+TN58yfQ3rza4u6DP69AxdOH09zn9iYGI7s34utfV6s89hlSOfTOkpOTubcmVM4O7vQr1d3GtapTuf2P3PyeObbhU/R1HWUlJREUlJSijcDevoG3L55Tfn7xrXLtGpci/Ztv8Nj6njCw0KzrJkaCQnx7N/3F63atEVLjQ6vmryOPiUn27qc0oqMjABI82EtNDSEs2dO0apN21TjM0pO2fOlyi0hPgEA/Y/cJrW1tdHR1eXG9WspM8gE3/I9Nk20cmD7j/LF3WbSo0iRIjg7OzN69GiWL1+OsbExc+bMITAwkICAAI3rh4WFEh0dzZrVK+jbbyADBw/j3NkzDB3cH89V6zI1ctShc3eiIiNp/0NzcuXSJjk5id/7DKRhk++yfHwWFhbUt8zFAe9g9t4OooC1EZ0qOpKQLDj7JFyZrmze3PSr6YyeTi5exyQw/egjIuMUr7EfBUcRl5hMu3IObLvuj5aWFu3K2pMrlxbmhhk/PcJfh5OUlITVJyOPVlbWhIQEZ9lGTRL4/DFLxvYlMSEePQNDOg6fgm0+lxTprp06iL6BEcUrf/ClDQtSjNoe27aWZp16Y+9SkGunDrNi0hAGz1mLtb1jutqPHj6ga8dfiI+Pw9DIiJlzF5K/QEEA1q1Ziba2Nu1+7Zhl24QQeK2YT6HipXF0KQCAvaMLVnns2b52CV36jULfwJCDuzfzJjyUN+GKjvmb8FB0dHQx/mTkPLe5JbERYWnqHT74D/fvebN20/ZU49evWYmOtjY/Z8OmT3kdHkZMTDTbN62mY/e+dOk9kKv/nmfqH0Nxn7+CkmU/+IHu272VNUvnERsTg6OzK1PnLvusS0hadRQSEkx0dDRrV6+kd78B9B80lAvnzjJ8yACWrVxL+QpZH1HW1HVkZGxM8ZKlWb96Gc6u+bGwtOLY4f343L2FYz7FnIjK1WpQp34jbO0dCPB/yeplCxncpxue67ehp5f+26SMcvzYUSIiImjZuo1a8tP0dZQaOdnW5YSWEII5M6dTpmx5CroVSjXNvr17MDYypl4ab6gzSk6VXc6V2wyVcnNxdcXewYFF8+cyZtwEDA0N2bR+HaEhIdnW/RbvsRLN8VV33nV1ddm5cyfdunXD0tISbW1tGjRoQNOmTdPdLy4uTjlq/57ExMxPvkxOTgagTp16dOjUBYDCRYpy8+Z1dmzfkqnO+7HDBzh8YB/jp3jgWqAgD+/fY8Gc6Vjb2NC0eetMHxuAlpYWz0IVE1ABnofH4GhuQINC1iqdd++gSMb8cx9TfR3qulnRv5YL4w885G1sIhFxSSw4/YyulR1pXMQaIeDCs3CehkaTLNJSTv+YPkYIodYRNnVi7eDEgJkriY2O5M7F02xfNI3fJy5I0YG/cvwAZWo2QPejUUshFIVTqWELKtRVjMjndS3E49tXuXJ8P03a/56utrOLC5u37SIiIoLjRw8z4c/ReK5aT1xcHFs2bWDjlp3ZKrcNS2fy4tkjxs5crgzT0dGh/xh3Vs2fSt92DcmVS5tiZSpSqkIG3LTSOReCAgOY4+HOgqUrVUac3uPjfZctmzewwSt7NqU4JKG4PqvUqEObnxUdtAJuRfC5c5P9e3eodN7rNmxG2QpVCA8NYeeW9biPG8GsJWvTzT+tOjJ992BTu2492nfsAnxoF3Zu35qtzvt7NHEdjZ3ozozJ42j7XT20tbVxK1yUBo2b8eC+DwD1Gn5oV/MXcKNI0eL81LIhF8+dolbdhtnSfs+eXTupXqMWed752GcXTV9H6ZGTbZ0mtWZMm8zDh/dZtTbticl79+yk6XfNU72+s0JOlZ0mdTymTebRw/usXLtJGaajq4vHnAVMHv8H9WpUQVtbm0qVq1KtRtbfsH/Kt3SP/Rxynfes81V33gHKly/PjRs3ePPmDfHx8djY2FC5cmUqVEh7drW7uzsTJ6p+Tax27dqMzqS2hYUFOjo6ypGc9+R3LcD161czldeSBbNp37kbDRorOnoFChYiMMCfDWtWZrnzHhERwcs3SSphL9/EUtFJ9dVnXGIyQRHxBEXE8ygkmtmtilKnoCV/3XkFwO2ACIbs8cFEX5vkZIhOSGLxD8UJjlR9AEoPC3MLtLW1U7hWhIWFYmVlnSX7NI2Orq5yhNyxQBH8Ht/j3P4dfN9zmDLNU5+bBPv78stg1QnEpuaK0Q9bRxeV8Dx5nXkdEvRZbV1dPfI5KUY8ixUvgffd23ht2oBr/vyEhYXSvMmHFVWSkpKYN9sDr03r+fvAsc/mvWHpLG78e4bRM5Zjaa3aSXJxK8rkRRuJjookMTGB3GYWTBr8Gy5uipUlzCysSExMICrircro+9s3YZgZG5AaPt53CQsLpfOvP6gc8/VrV9i+dTP9Bg4lPCyUlk1VbZo/x4Mtm9azNwM2pUZuMwu0tXVwevdm4T35nF3xvqX6GtnYxBRjE1Py5nOmcPFS/NysJufPpO1eA2nX0YjRY9HW0cE1v6quq2t+btzI3qtxTV5HeR2dWLB8LTEx0URHRWFlbcOEMUOxd8ibanoraxts7R3w8/XNlu57/P1f8u/F88yet1At+YFmr6O0yMm2TtNaHu6TOX3yOCvWbMTWLnU3sutXr/D82VOmz5ybbb2cKjvNl9sUTp88geeaDSnKrWix4mzevpvIiAgSEhKwsLSk868/U6x4SpfMzPAt3mM/xzf6zPFV8NV33t9j9s6n7OHDh1y5coXJkyenmXb06NEMGTJEJWzmzJmZ1tTV1aNY8RI8f/ZUJfz582eZWiYSFKtmfLpSh7a2NsnvRg+zwosXL7DPo7rcnX1ufUIiEz67r04qq4a8d6UpZmdCbgMdrvm9xTSDx6Krp0fRYsW5eP4c9Rt8GKW7eP48deqlPtnwa0MIQWKCatldPrafvPkL4+Ci+gBnkceO3BbWBPu/UAkPDnhB4Y/8xTOurfAHbta8JZUqq46E9+/dg2bNW9KidcpJ3Z8e/8Zls7h64RSj3JdgY5f2OWpkrJjPEPjSl6ePfPi+o+JNgUvBImjr6HD3xiUq1VQsv/k6LAS/508oUCvlEnwAFStXxWuH6hKDk8aNxcXVlU5du2NlbUOVatVV4gf07kHT5i1p0Sp9m9JDV1cXt6LF8PN9phLu/+I5eezs099ZKHxIM8P7OtLV1aN4Ku2CbxbahU/JievI0NAIQ0MjIt6+4fLF8/TsPyTVdG9evyY4KBBLa/V0DPbu3oWlpRU1a9VRS36poY7r6HPkZFunKS0hBB7ukzlx/Cieq9aT1zFtN789u3dQtFhxChVOfenIzJBTZafZcpvCyeNHWb5qXbrlZmKquHv6Pn+Gj/cdevdLuZpdZvgv3GMl6uOLd94jIyN59OiR8vfTp0+5ceMGlpaWODk5sX37dmxsbHBycuL27dsMHDiQ1q1b06hR2r53+vr6KV7vpbW6RXR0FC8+Gll6+dKP+/d8yG1mhr29A527dmPksCGUK1+BCpUqc/7sGU6fOsGK1eszZWf1mnVYv9oTWzt7XPMX5MF9H7ZuWkezlh98P9++eU1QYAAhwQr/tfeTWy2trLGytkmR58WLF+narQQtS+Th3+evKWBlRF03K1Zd9FOUg04uWpWw5ZrfG17HJGCir0ODQtZYGuvy7/PXynxqFbDE/00sb2MTcbMxpmPFvBz0CSbgbVyGO+8AHTt3ZeyoERQrUYLSpcuyc/tWAgIC+PHndpkqq88RHRWF78d15ufHPR8fzMzMMrxc1sHNnhQuWxkzqzzEx0Rz89xxnty9wW9jPZRpYqOjuH3xJN916pNify0tLWq1aseRrWuwdy7wzuf9EMEvfekwdFK62osXzKVajZrY2toTHR3FoYP7uXrlEguWeGJuboG5uYVKeh1dHaysrXFxSXtdcoANS2Zy4dQhBv45EwNDY16/m2xoZGyMnr5i1PzSmWOYmpljZWOH37NHbPKcS7kqtShRrsq7tCbUatSSLSvnY2JqhrFpbrasWoCjcwHs0hiZMzY2pkBBVV9ZQ0NDzMzMleEpbNLRwcrKGufP2BQTHY3/yw91HRjwkscP72Ga24w8tva0/aULM8aPoETpcpQqV5Gr/57n3/Onmb5gJQAB/n6cOXaIspWqYmZuQWjwK3ZsWoOevj4Vq9bkn+f3U9VNr44AOnb+jdEjhirahYqVOX/uLGdOn2T5ynXp2pMRNHUdXbpwDoHAyckFPz9fli2YTT5nF5q1aK3w4V+xmFp1G2JlbUNgwEtWLJmPmbkFtepk7hsKqZGcnMxfe3bRolXrDK809Dk0dR1lhJxq6zSlNX3qJA4e2Mec+YsxMjZW+kybmJiqLBARGRnJ0cOHGDxsZLbteE9OlZ0mdGZMncTBA/8we/6iNMvt6OGDmFtYYmdvz6OHD5g9Yxq169ZPMYDxtdj0JZED71nni3fer1y5Qt26dZW/34+Yd+7cmbVr1xIQEMCQIUMICgrC3t6eTp068eeff6pN3/vuHXr89uGjHbNnTgegRcvWTJo6nXr1GzJ23ARWr/TEY/pUnF1cmTlnAWXLlc+UzuDhY1mxbAGzp08mPDwMa+s8tPz+R7r26K1Mc/b0CaZN/EP5e/wYhftG1x596Nazb4o8/f39mXfyKT+XtadNKTuCI+PZePkl558q/N2TkwUOZvrULOCCqb4OkXFJPAmNZvKhh7x8E6vMxz63Pj+XtcdET5vgqHj23g7igE/mJ8A0adqMN6/D8Vy6hODgVxR0K8TiZZ44pPFaPqvcvXuH7l07KX/P8nAHoGWrNkyeNj1DeUS+DmfrwmlEhIdiYGSMvXMBfhvrgVvpiso0N88dAyEoUz31UY0a3/1IYnw8+9YtIjoyAnvnAnT/c7Zy7fi0CA0NYdzYkYQEB2NiYopboUIsWOJJlarZa9yP798JwPRRvVXCuw36k5oNmwPwJjyELSvn8eZ1GOYW1lSr35RW7VQ/uPJLj0HkyqXN4uljSIiPo2jpigwaP46rh7dk6/iywsP7dxk9oIfy98pFswGo36QFQ8ZOplqtevQd9gfbN65i+XwP8jo5M2byLIqXKguAnp4ed29dY+/2TURGvMXc0ooSpcsxa+k6leUkP+VzdVS3fkNG/zGetas9mTVjGs4ursyYPZ8ymWwXUkNT11FkZAQrlswj+FUQprnNqF2vId17D0BHR5ekxCSePHrIof1/ExnxFitrG8qWr8SEabMwUsP3NC5eOE9AgD+ts7laycdo6jrKCDnV1mlKa8c2xdKCv//WSSV8/ORptPzobdjhg/8gEDRumvWFFT4lp8pOM+WmaAN7ftRnAEW5tWilGIgLCQ5m7swZhIaGYm1jzXctWtG9Z+8UeWWFnDzvJF83WuL9zLv/OBMnTmT46HEa1Zjprhhx7TNkrEZ1AJbMmQrAg/ytNKpT6InCHWLk2Kx/CTEjzJg6MUd1SrXpqVEdgFu7FZNFh4xU38NmasyZoXAha9R+oEZ1Dm+aD8CgEZq1Z56Hwp72vUdoVAdg01LFm5acqqOcOr97Dkr5ZVt1snzeNABGjNGsPQAe0xQ2/dfqKKd0ho7S7H0PYPZ0xb3vv1Z2Q0Zp+JybnjPnHChsGj9e8zqZwS884/PqsoqjhXomWX9tfNXrvEskEolEIpFIJJIPfHG3GYlEIpFIJBLJ/xvS6z2ryJF3iUQikUgkEonkG0GOvEskEolEIpFIchS5znvWkSPvEolEIpFIJBLJN4IceZdIJBKJRCKR5Chy4D3r/F8tFSmRSCQSiUTy/8jXtlSk/+vMfeU6KziY62lc40sgR94lEolEIpFIJDmK9HnPOv9XnXdNf1Dk/cdEBgz/4zMps8+CmVMA2Jmk2a8JttU+B+Rc2eXUxzd+6z9KozoAqxcqvvaaU2X3Q/dhGtXZsXIWAMPHaPhjZ9MUH3z5+ffhGtUB2Oo5EyDHPuCWU+d3TtVRTn1cBjT/saH/6oeGuvTTfFu3dpGirfuvlV23AaM1qrNqgeLr4B36aP6DdBuXeGhcQ5Jz/F913iUSiUQikUgkXx4t6fWeZeRqMxKJRCKRSCQSyTeCHHmXSCQSiUQikeQscuA9y3zxzru7uzu7du3i3r17GBoaUq1aNWbMmEHhwoWVaYQQTJw4EU9PT8LDw6lcuTKLFy+mePHiaj+exMREli1ZyP5//iY0JARrGxtatmpDj559yJUr6y8qVixbxKrlS1TCLK2s2H/0DIkJCSxbsoALZ0/z0s8PExMTKlauSp8BQ7DJkyfNPLW0tOhXvwDflbLDykSPkIg49t4IwPPUU96vIVS/qA0/VHSkmL0pFsZ6/LjkIvcDI1Xy+bNFEaoUsMTGVJ/o+CRu+r5h7pGHPAuJzpSNSxcvZPnSRSphVlbWHDt1LlP5fI5VK5Zz7Mhhnj59gr6BAWXKlGXQkGG4uObPVD63rl9h26a1PLzvQ2hIMBOnz6N67XoAJCYmsGb5Iv49f4ZAfz+MTUwpW6Ey3fsMwtomZZ0IIRgzpA+XL55TyScjNG1UjwD/lynCf2r3K2P+yLhv587Nq7l45jgvfZ+hp69PkeKl6dhjAHmdXFSOc+u65Rz5ZxdRERG4FS1BjwGjcHItkKpNU0b35/ql84ycNDtd7atXLrN+zSq8ve8SEhzMnPmLqFu/AQAJCQksWTifs2dO4ffu/K5cpRoDBg8hTx7bdPO9e/Mqu7es59EDb8JDQxg9eQ5VatZVxsdER7PecwH/nj1BxNs35LFzoHnbdjRt9ZMyTcDLF6xZOhef29dJSEigXKVq/D5gJOaWVunbs/Yje+Z9sOdTpkwcx84d2xg2YjTtO3ZO156MstVrE2vXrCIkOJgCBd0YMWoM5cpXyFae6dURwLLFCzl0cD+BgYHo6upStFhx+g0YRMlSpbNrDlevXGbt6lX4eN8hODiYuQsWUy+N8swoq1cu58SxIzx7+gR9fQNKlSnLgEFD02wHpk4ax64d2xg6fDS/qqGeNFFHmtK6df0K2zcr2rqwkGDGu6u2UetXLuHk0YMEv1LUvVvhYnTp2Z+ixUsp08ybMYnrly8SGhKMoZERxUqUplufwTi5uOa4PTmlc+v6FbZuXMvD+96Ke8SMedSoXV8Zf+bEUfbt2c6De968ffOa5eu3U7BQkRT53L19g9XLFnLv7m20dXQo6FYY97lLVdLcvnGVnZvX8ei+D2GhwfwxbQ7Van2oozlT/+Togb9V9ilcrCRzPTek0BNCMG5YP67+ey5FPpL/Bl/cbebUqVP07duXixcvcuTIERITE2nUqBFRUVHKNB4eHsyZM4dFixZx+fJl7OzsaNiwIREREWo/njWrVrBj2xZGjRnHrr/2M2jIcNatWYXXppQXSGbJX6Ag/xw5pdw2bdsLQGxsLPd9vOnaoxfrvHYwffYCfH2fMXxQ33Tzq1GjBj9WyMu0f+7ReuEF5h5+RJfqzvxaOZ8yjaGeNjd8XzP/yKM08/H2j2Dcbm9aL7xA7/XX0dKC5Z3KkSsLT8UFCrpx9ORZ5bZ999+f3ymTXLl8iZ9/ac8Gr20sX7GGxKQkevXoRnR05h42YmNjyO9WmH5DU05Kio2N5eF9Hzp07cnStVsZ7z4HvxfPGTdiQKp57dyyEa0sTp3ftGWHSpktW7EGgIaNmmQqn7s3r9K01U9MX7SO8TOXkpSUyMQRfYiNiVGm2b1lHX/v2ESP/iOZsXQD5pZWTBzRm5joqBT57duxKcM+iTExMRQqXIRRY/5MERcbG4uPtzc9evbBa9tOZs9biO/zZwzq1+ez+cbGxuBSoBA9B6Y+6W7V4llcu3SewWOnsmjdLlr+2B7P+R78e/aEYv+YGCYM74OWlhaT53oyfdEaEhMSmDJmIMnJyenbUyh1ez7mxLGj3L59K92H7Mxy8MB+PKa70+P33mzdsYdy5crTp2cPAvz9s5VvenUE4Oziwsgxf7J911+sWb8JB4e89Pm9G2FhYdnSVWhHU7hwYUaNVd+k02tXLvNju19Zu3ErSzxXk5SUSN9e3YlJpR04cfwod9RYT5qqI01pxcbGkL9gYfoNSX0CpqOTM/2GjsFzwy7mLF2Hrb0Dowf14nX4h7p3K1yMoWMnsdJrD9PmLkUgGD24J0lJSTluT07pxMTEUMCtEP2Hjkk1PjY2huKlytC9z6A087h7+wajB/WmQuWqLF69mSWrvWj14y9ofTIYGBsTg2vBQvQekvYE4/KVq7Nx71HlNmnWolTT7dm28ZtYyUUrB7b/Kl985P3gwYMqv9esWUOePHm4evUqtWrVQgjBvHnzGDt2LN9//z0A69atw9bWls2bN9OzZ0+1Hs+tmzeoU7c+tWrXASBvXkcO7v8H77t3sp23trY2VtY2KcJNTE1ZuGyVStjQkWP5rcPPBAb4Y2fvkGp+jo6OnLgXzJkHoQD4v46laUk7ijnkVqbZdzMQAAdzgzSPa+fVD6O+/q9jWXjsMTv7VsHB3BDeZtw+UNhonYqN6mSpp2pZTZriTt2aVfHxvkv5ChUznE+lqjWpVLVmqnEmJqZ4LPBUCes3ZDT9uv1KUGAAtnb2yvDHD++zc8t6Fq/24qfmmR/hsLS0VPm9eqUn+fI5UaFipUzlM27GYtXjHTGRrt/X5/EDb4qXLo8Qgn07N9O2fTeq1FKMHg0YOYmubRtw+tgBGrf4Qbnv08cP+GvHJjyWbqDbD40+q12jZi1q1KyVapypqSnLVq5WCRs5+g86/PIjAQH+2KdxfgOUr1yD8pVrpBl//+4t6jVpTsmyitG0xi3acujvnTy6703lGnXxuXODV4H+zF3hhZGxicLmURNp36I2t65dypI973kVFMT0aZNZsnwl/fuqrx3asG4Nbdq25fsffgRgxOixnD9/lm1bvRg4eGiW8/2cTU2/a6Hye+iIUezZtYOHD+5TuUrVLOsqtGtTo2btbOXxKYuWrVT5PWGSOw3qVMPH+y7lPmoHXgUF4TFtMouWrWRgP/XUk6bqSFNa6bV1APUafafyu+eA4Rz8ezdPHz+gbIUqAHzX+kP7YGefly6/96dXpx8ICshcpzunyk4dOpWr1aRytbTLrWFTxTUTmMqb0/csnTeTNj/9yi+duivDHJ2cU6SrWLUGFaum3dYB6OrpYmllnW6aJw/vs3vrRuat2ESHVtl7uyX5evniI++f8ubNG+BDh+bp06cEBgbSqNGHDoS+vj61a9fm/PnzatcvW648//57kefPngJw/949rl+7So1a2b/xvPD1pXnD2rT5riF/jBzKS78XaaaNjIhAS0sLU9Pcaabx9fWlcn5LnK2MAChka0JZZzPOPgzJ8jEa6uaidVkH/MKiCXwbm+n9fX2f07BuDZo1rsfIYYPxe5G2jeoi8t0bmNxmZhrViYqMREtLCxNTU2VYbGwMU8eNpN/QMZ9tVDNCQkI8+/f9Ras2bbM8kv+e6ChFuZjkVpRLUMBLXoeFUObdzRhAV0+P4qXLc//uLWVYXGwMc6eMpseAkVhYZt+m1IiI/Pz5nRGKlizDpXOnCA1+hRCCW9cv8/LFc8pWrAYoyhO00NX98KEOXT09cuXKhc/tG1nWTU5O5o8xI+jctRsFCrply4aPSYiPx8f7LlWrqd7Eq1arzs0b19Wm89njSIhn1/atmJiaUqhwSjeAr5HIyJTtQHJyMn+OGUHHLuqrp5ysoy9xPiQkJLB/7w6MTUzJX7BwqmliYqI59M8e7BzyYmNrl/G8c8ier+U6Cg8LxefuLcwtLOnfowNtm9ZmcO8u3L5xLUv53b5+hV+a16V7u5bMnzFR5c0IKO5HMyaOpvfgUWq5H2kaLS3Nb/9VvvjI+8cIIRgyZAg1atSgRIkSAAQGKkaObW1VfWNtbW15/vy52o+ha7ceREZE0LpFU7S1tUlKSqLfgME0bdY8W/kWL1GKcZPdcXJ2ISw0hDUrl9Ojy6947fgbM3NzlbRxcXEsWTCXRk2/w9jEJM08z507xzO9AuztX5UkIdDW0mLhscccuB2U6eP7uaIjgxsVxEhfhyfBUfy+7jqJSQK0M55HyVKlmDJtBs7OLoSGhrJi+VI6d2jHzr37MDe3yPQxZQQhBLM83ClbrjxuboU0ogEQHxfHqqXzqNeoGcbGH+pk6byZFC9Zmuq16qazd8Y5fuwoERERtGzdJlv5CCFYs2QORUuWwdm1IACvwxRvaMwtVH29zS0sCQ4KUP5evWQ2hYuXplL1Otk6hrSIi4tjwdzZNG3WHJN0zu+M0GPASBbPmsRvPzZGW1sHrVxa9Bs+jmKlygIKn1ADQ0PWLZ9Pxx79EALWLZ9PcnIy4WEhWJnqZ0l3zeoVaGtr80v7jtk6/k8Jfx1OUlISVlaqdWRlZU1ISLBatVLj9MkTjBo+lNjYGKxtbFjmuRoLC81cu+pECMGcmdMpU7Y8BT9qB9auXoG2jnrrKSfrKCe1Lp47xbRxI4iLjcXSyobp85Zj9km7/dfOLaxcMpfYmBjyObsyfZ4nurq6GdbIKXu+9HX0ngB/PwDWrVxKrwFDKeBWhCMH/mJ4/+6s3LQ7U3mVr1KDGnUbksfOgSD/l2xYuZjRA3qwYJUXunqKwYkVC2ZRtERpqtZUz/1I8vXyVXXe+/Xrx61btzh79myKuE9HIYUQaY5MxsXFERcXpxKWmJiYoWM4dGA//+z7C/cZsylQsCD37/kwc4Y7Nnny0LJV1jtU1Wp89LrarRAlS5ehbYvG/PP3Hn7t2OXDcSYk8OeooSSLZEZ85sMxxYsXp0Zpe0btuMPjV5EUtjdlRNNCBEfE8deNgHT3/ZR/bgVw4XEoNqb6dK7uzKyfS9Jp5RUQGc/j49fibkDp0mVo3rQhf+/dQ8fOXTN1PBnFfcokHj54wNoNmzWSPygmr04ZN4Lk5GQGDB+rDD9/5gQ3rl5i2bptatPas2sn1WvU+uxEzs+xYsF0nj95yNQFq1NGfnLZCIFyiOLSuVPcuX6ZWZ5e2dJPi4SEBEYNH4IQgtF/Zv9DK/t2enHf+zZjp80jj609d29eY9lcdywsrSlToQpm5paMmODBsrnT2LfLCy2tXNSq34QChYpmeQK69907eG3cwOZtO7P9diQtMtPeqZOKlSqzZeduXoeHs2vHdkYMG8SGzduwtEp7cu/XwIxpk3n48D6r1n5oB3y877Bl0wY2bdVMPeVkHeWEVulyFVm6bjtvX4ez/69dTPlzGAtWbMLio4nd9Rt/R/lKVQkNCWaH1zqm/DmMecvWZ1orp8ruS11HSr1kxQ20eZsfadJc0X9wK1yUa5f/5eC+3Znyya5dv7Hyf5f8BXErUowuPzTl0oUzVK9dn4tnT3Lz2iUWrt6qThM0ilznPet8NZ33/v3789dff3H69GkcHR2V4XZ2ildygYGB2Nt/8DN+9epVitH497i7uzNx4kSVsNq1M+b2Mne2B127/06TZgofQLdChQkI8Gf1yuXZ6rx/iqGhEQUKFuKF74e3B4kJCYwdOQT/ly9Z7Lkm3VF3gIYNG7LozDMO3lGMtD98FYW9uSHdarpkuvMeGZdEZFwMvmEx3PR7w7nRdahf1Aa8M2/bewyNjCjoVgjf58+ynkk6uE+dzMmTx1m9biO2dhl/dZsZEhMTmDx2OIH+L5m5aKXKqPuNK5fwf/mCVo1Uv3I7ccwQSpQuR4mimXsT4O//kn8vnmf2vIXZOuYVC2Zw+fxppsxbibXNh2vk/eoqr8NCsbT6MC/hzesw5Wj87euXCPT3o2ML1etl5oThWFtb06BB1n0oExISGDl0MC/9/PBcvTbbo+5xcbFsXLmQ0ZPnUOGdP69LgUI8eXSfPVs3KN2DylasyvLNf/P2dTi5tHUwMTWlc5sG5KmXl4S3rzKte/3aVcLCQmnW6MP8hqSkJObMmsGmjevYf+h4lm2yMLdAW1ubkBBV17ewsFCscuA1uKGREU5Ozjg5OVOqdBlaNmvM7l076NZDvXOL1ImH+2ROnzzOijWq7cD1q4p6+q6xaj3NnT2DzZvWse9g1uopJ+soJ7UMDY3I6+hEXkcnipYoTZefmnNw324VX21jE1OMTUzJm8+ZoiVK833j6pw7dSzDGjllz5e+jt5jaa3QcnZRXQHJ2SU/rwIDsLU2z0beNuSxs8f/hS8AN69eIuClHz82VfXRn/bHMIqXKkvJYqm7QEm+Tb54510IQf/+/dm9ezcnT57E1VV12SlXV1fs7Ow4cuQIZcsqXoXHx8dz6tQpZsyYkWqeo0ePZsiQISphM2fOzNDxxMbGkuuTJ/NcubRJTs7EEHQGiI+P59nTJ5QpWx740HF/4fucxZ5rU7jSpIauri5CqB5XcrJQm5+Xrnb2pkTEx8fz9OljypUvr54DeocQAvepkzl+7Air1m7A0THf53fKAu877i/9njNr0SrMzMxV4tt16kbTlt+rhPXo0JbeA4dTpUZtDuzcmCm9vbt3YWlpRc1adbJ0vEIIVi6Ywb9nTzBp7gps7fOqxNva58Xc0pqbVy+S303hx5yQkMDdm1fp+LtiFZ3vf+1Kg+9UH1IHd/uJrn2GEux7P0vH9V5n5NDB+Po+x3P1OrW4USUlJpKYmIjWJ8siaWtrI0TKlWRyv9O8de0Sb16HUalabc4d3J5p3e9atEwxgbNPr+5817wVrbLp7qSrp0fRYsW5eP4c9Rs0VIZfPH+eOvXqp7OnhhCChPj4nNfNAEIIPNwnc+L4UTxXrSfvR4M+AM1atKTSJ/XUr3d3mjVvla2BmJysoy96PmSk7oXi2s4oOWXP13Id2dnnxcomD36+z1TC/V48V0xOTcjcCmkf8/bNa4JfBSl923/s8BuNW6jej/p0+oEe/YdRuXptju7ZlGUtjSEH3rPMF++89+3bl82bN7N3715MTU2VPu5mZmYYGhqipaXFoEGDmDZtGm5ubri5uTFt2jSMjIz49ddfU81TX18ffX1VX1YdnYyZWqtOXVauWIadvYPCbcbHh43r19CqTdts2blgjgc1atXFzt6esLBQ1qxcTlRUJM1atCIxMZHRwwdx/54Ps+cvITk5idB3fnm5zcxUJtt9zIMHD+hRqwgBb2J5/CqKIvamdKzmxJ5rH2b/5zbUwd7MAJt3vr0u1sYAhETGExoZT14LQ5qUsOX8o1DCo+PJk9uA32o4E5eYxNmHIWTGc27OzBnUqlMXe3t7wsLCWLF8KVGRkbRQ4xsLgGmTJ3Jg/z7mLVyCsZExIcGKsjIxNcXAIO1VdT4lJjqal36+yt8B/i959OAeprnNsLa2YeKYoTy678OUWYtITk4mLFQximOa2wxdXcWs/9QmBeWxtcfewTFFeHokJyfz155dtGjVOsPn6qd4zp/OmWMHGD1lLoZGRoSHKY7XyNgEfX0DtLS0aN72V3ZuWo19XifsHZ3YtWk1+gYG1KrfFAALS+tUJ6la57EjJiztFRWio6N44fuhLF++9OP+PR9ym5lhY5OH4UMGcs/bm/mLl5GcnKT0OzVL5/wGRR0FvPww6Tko8CVPHt7HNHdubGztKVG6PGuXzkNPz4A8dvbcuXGVE4f28VvfDw/vRw/sJZ+TK7nNLbh/9xYrF82k5Y/tcfxo/fvM2GNv75Di4UNHRwdra+tMf2sgNTp27srYUSMoVqIEpUuXZef2rQQEBPDjz+2ylW96NpmbmbPScxm169bD2saGN69fs22LF0FBgTRsnLklS1PVjorC92NtPz/u+fhgZmaGvUPaqw2lx/Spkzh4YB9z5i/GyNhYeU6ZmCjaAXNzi9TrySr79aSpOtKUVkx0NP4ftXWBAS95/K6tMzUzw2vdCqrWqIOllQ1v377m711bCQ4OolY9xUIRAS/9OHnsIOUrVcPc3IKQ4Fds3bgaPX19Klatwd6nPjlqT07pfHqPCPzoHmFrZ8/bN294FRRAaIjiDd6Ld2+Z398btLS0+Ll9F9atWEJ+t8IUdCvC4f178X3+lPHT5nBg10YVLf+XH7SCAl7y+OE9TE3NMM1txqbVy6hepz6WVtYEBfizznMhuc3Mqfpuvf607kc2tnbYOeRNES75tvninfelSxUfKqhTp45K+Jo1a+jSpQsAI0aMICYmhj59+ig/0nT48GFMP1r1Q12MGvMHixfOx33KRMLCQrGxyUPbH3+mZ+/011z/HK+Cghg3ehivX4djYWFJ8ZKlWbXOC3uHvPj7v+TMKcW61B3bqT45L16xlvIVUl8y8MCBA+SrY8nY5kWwNNYjOCKOHVdesuzkE2WaOoVtmPL9h49ZzfypJABLTzxh6YknxCcmUc7ZnA5V85HbQJfQqHiuPgun04orhEUlZGrCalBQIKNHDCE8/DUWlhaUKlWG9Zu34aDmhmPbVoU/drcuqpPQJk1xp1Wb71PbJVXu37vLsL7dlL+XLVC8nWnUrCWduvfmwpmTAPTs9KPKfrMWr6JMuYwvSZkRLl44T0CAP62z8ZB46C/FKPKfg3uohPcbMYF6TVoC0KZdZ+LjYvGcP52oiLe4FS3BOI8lGBoZZ/3gAe87d+jx24cP38z2mA5Ai1at6dWnH6dOKFwU2v3QWmW/FavXUaFS5TTzfXTfmz8+smf1YsXHouo1bsHA0ZMYNm4661csZM7UMUS+fYuNrT0duvelScsPdfbS9xkbPBcSGaH4iNOPHbrR8scO6dtz9xN7Zr6zp2VrJk2dnu6+2aVJ02a8eR2O59IlBAe/oqBbIRYv88z2dZReHY0dN5FnT5/y918DeB0ejpm5OcVLlGT1uk1qWaXl7t07dO/aSfl7loc7AC1btWHytKyV545tinbg9986qYSPnzyNlq0y3g5kBU3Vkaa0Hty7y/B+H9q65e/auobNWjJw+J+8eP6MI/uH8vZNOKZm5hQuUpw5S9bikl8x2V1PT487N6+xe+tGIiPeYm5pRcky5Zm3fL2KT3xO2ZNTOvd97jK072/K30vnf7hHjBw3lfNnTjBzyofvJkz5czgAnbr1pnMPxXcs2rbrSHx8HEvneRDx9i353QrhMd8Th0/eGD+8d5dRAz60dSsWKtq6Bk1b0HfYWJ49ecixg38TFRmBhZUNpctVYNRED4yy2XZ/SeTAe9b54p33T90+UkNLS4sJEyYwYcIEjR+PsbEJI0aNZcSosZ9PnAmmzEj7C5UODnm5eD3zzuXx8fF4HHiAx4EHaab560ZAuv7vwRHx9N14I9PaqTFj1ly15PM5bt7NuvvGx5QpV5GjF26lGZ9enDr3AahWvQY37mTPrl3HP7/8mJaWFu269KJdl16ZzvfFvatppqlQqTLX79xLMz69uPQoWbYCe0+mvbSbhZU1A0dNTDMeoHPPgXTuOTBTuhUqVub67Ywfc3b83FPj51/a8/Mv7dWa5+fqaPb87M21SI+KlSqr7bp9z9VbmT+nsurnnhqaqCNNaZUuV5HD59Num8a7p992W9nkYersJemmyQw5VXbZ1SlTviLHLt5OM75J89Y0ad76s/n80qm7ytyB1ChVriL7z95IM37KnKVpxqVFevlJvm2+eOddIpFIJBKJRPL/xX95HXZN89V9pEkikUgkEolEIpGkjhx5l0gkEolEIpHkKHKd96wjR94lEolEIpFIJJJvBDnyLpFIJBKJRCLJUaTPe9bREhlZ7uU/wKdfXJVIJBKJRCL5f2H8+PFf+hBUCI9O0riGhVEm1rv+hpBuMxKJRCKRSCQSyTfC/5XbzPDR4zSa/0z3SQAMHPGHRnUA5ntMAWBrXNXPpMweP+tfAGDEGM0+sXtMU7wZGTlWszozpip0OvYZqVEdgA1LZgA5Z1OHPiM0qrNxiQeQc/a06zlcozoAW5YrPrryXzu/h4z68zMps8ec6ZMBzdsDH2waPFKzNs2dkTM2vbcnp3R6Dh6jUR2A5XOnAf/Bshuk2bJbPk9Rbj/2GKZRHYDtK2ZpXEOSc/xfdd4lEolEIpFIJF8e6fOedWTnXSKRSCQSiUSSo8ilIrOO9HmXSCQSiUQikUi+EeTIu0QikUgkEokkR5FuM1nni3fe3d3d2bVrF/fu3cPQ0JBq1aoxY8YMChcurEyza9culi9fztWrVwkNDeX69euUKVNGLfpXr1xm/dpVeHvfJSQ4mDnzFlG3fgNlfHR0FAvmzubE8WO8efMaB4e8tGvfkZ9+/iXLmmtXebJ04Tx+/rUjQ0aMBiA0NITF8+bw78VzREREULZcBYaOHIOTs0ua+WhpaTGgYUGal7bH2lSP4Ig49lzzZ9mJJ7xfALRv/QI0LWWHnZkBCUnJeL98y/zDj7jl9ybVPJd3LkfNwtb033CdYz7BmbIrKCiI+XNmcu7sGeLiYnFydmHCpKkUK14iU/l8jm1bNrNtqxf+L18CUKCgGz1796FGzdqZyuf2javs2LyWR/d9CAsN5s9pc6lWq54yfvbUPzl64C+VfQoXK8k8z43K3/Hx8axcPJtTRw8SFxdLmfKV6Tt0LDZ5bLNs36oVy1kwbw7tO3RixOixmbJn5+Z1Snv+mDZHxZ45U//k6IG/U9gz13OD8vfIft24feOqSppa9RszauKMTNtw7Mhhnj59gr6BAWXKlGXQkGG4uObPVD53bl5lt9d6Hj/wJiw0hDFT5lClZl1lfEx0NOs8F/Dv2RNEvHlDHjsHmrdtR7PWPynTLJ41hZtX/yUsJBgDQ0OKlChNl54DcXR2zdSxREVFsnjhfE4cO0pYWCiFixRjxKgxlChZKlP5ZIStXptYu2YVIcHBFCjoxohRYyhXvkKW89ux1Ysd27YQ4K+4ZvIXKEj3nn2oXrMWAEIIPJcuZvfObUS8fUvxkqUYOeZPChR0U4s9oH6bPmXNKk+WLJhLu/YdGTpCMdFQCMGKZap2jRitHrs0bY8mtaKjoli1bCFnTh4jPDwMt0JF6D90FEWLlyQxMYGVSxdy8dwZAl76YWxiQvlKVejZbzDWNnm+SntyUic6KopVy1Mpu2IlAXCfOJaD/+xV2adYiVIsXb05zTx3blrNxTPH8fN9hp6+PkWKl6bT7wPI6+SiTCOEYOu65Rzet4uoiAjcipbg94GjcHItAEDE2zdsWbuMG1cuEvIqiNxm5lSuXodffuuNsYlptmyWfH18cbeZU6dO0bdvXy5evMiRI0dITEykUaNGREVFKdNERUVRvXp1pk+frnb9mJgYChUqwqgxqa9kMMtjOufPnWXqdA927f2H9h074+E+hRPHj2VJz/vObfbs3E7BQh8eToQQjBjcn5cvXzBz7iI2bNmJnb09/Xt1IyYmOs28atSowc+VHJnytw/N555j9sGH/FbThfZVnZRpnoVEMfUvH1rPP0/H5Zd4GR7Dit/KYWGsmyK/TtWdEGRt2f+3b97QpeMv6OjqsmjZCnbu/Yehw0dhapo7S/mlRx5bOwYOHsbmbTvZvG0nlSpXYWC/vjx69DBT+cTGxJC/YGH6DBmVZpoKlauzae8x5TZ51mKV+OULPDh/+jijJsxg1pK1xMZEM2FEf5KSsrZ+7Z3bt9ixfSuFPjo/MkpsTAyuBQvROx17yleuzsa9R5XbpFmLUqRp0uJ7lTT9h2d+9aQrly/x8y/t2eC1jeUr1pCYlESvHt2Ijk77fE6NuHc2/T4odZtWLZrFtUvnGTJ2KovX76Llj+3xXODBxbMnlGkKFCrKgFETWLx+FxNnLQEhGDesT6braOK4P7h44TxT3D3YvvtvqlarTq8eXQkKCspUPp/j4IH9eEx3p8fvvdm6Yw/lypWnT88eBPj7ZznPPLZ29Bs0hPVe21nvtZ0KlaowdGA/Hr+7ZtatWcnmDWsZMfoP1m3ehpW1NX17dlNph782mz7m7p3b7NmxDbdPrpv17+waPuoP1m7ahpWVNf16Zd8uTdujaS2PKeO48u8Fxk50Z43XbipWqcbQvj0IfhVEbGwsD+5506lbT1Zs2MZkj3n4+T5nzNB+X609OanjMfVd2U1wZ83m3VSs/KHs3lOpag127T+p3GbMXZpunndvXqVp65+YsXgdE2YuJSkpkYkj+hAbE6NMs3vLOv7avokeA0bisWwDFpZWTBjem5hoxbkcFhpMWEgwXXoNYt6qrfQfOYFrl8+zeOakbNmrSbRyYPuv8sU77wcPHqRLly4UL16c0qVLs2bNGnx9fbl69cPoX8eOHRk3bhwNGjRIJ6esUaNmLfoOGET9Bo1Sjb918wbNW7amQsXKOOR1pO2PP1OoUGG8797JtFZ0dBTjxoxgzLiJ5P6oU/vC9zl3bt1k5JhxFCtREmcXV0aMGUd0dDSHD+xPMz9HR0eO+7zi9P0Q/F/HcvhOEOcehlIi74e8/7kZyIXHYfiFx/DoVRQz9t/H1ECXwnaqT+KF7UzoXN2FP3bezbRdAGtWr8DOzo5JU9wpWbIUefM6UrlKVfI5OX1+50xSp249ataqjYuLKy4urvQfOBgjIyNu3byRqXwqVq1B59/7Ub122ueVrp4ellbWys00t5kyLioygsP7dtOj31DKVqxCwUJFGT5uGs+ePOTGlYuZtis6KorRI4czfuIUcpuZfX6HNO2pn449umna8x59AwOVNFkZtVnquYpWbb6nYEE3ChcpwqQp7gQE+OPjnbnzq3yVGnTo3pdqtVK36Z73Leo1bk7JshWwtXegScu2uBYoxKP73so0TVq2pUTp8tjaO1CgUFHad+9LyKtAXgVm/CYeGxvLsaOHGTRkOOUrVMTJyZneffvjkNeR7VvTHlHLChvWraFN27Z8/8OP5C9QgBGjx2Jnb8e2rV5ZzrNWnbrUqFkbZxdXnF1c6TtgEEZGRty+dRMhBF4b19O1R0/qNWhEQbdCTJwyndjYWA7u3/fV2vSe6Ogoxo0ezpjxkzDN/aHtE0LgtWk9Xbt/sGvCO7sOZdMuTdqjaa242FhOnzhKrwFDKF2uAo75nOj6e1/sHfKyd+dWTExMmbN4JfUaNsHJxZXiJUszYNho7vt4ExQY8NXZk5M6yrLrn3rZvUdPVw8ra2vl9rn2fJzHYuo1aYmTawFcCxai/8iJBAcF8viBoh0TQrBvx2Z+6NCNqrXq4+xakAGjJimO5+gBAJxdCzJy0iwqVquNfd58lCpXifbd+nL5wmmSkhKzbLPk6+SLd94/5c0bhTuHpaXlFz4SBWXKluPUyeO8CgpCCMHlSxd5/vwZ1arXyHReM6dNoXrN2lSqUk0lPD4+HgA9fX1lmLa2Nrq6uty8fi3N/Hx9falSwApnKyNA0QEv52LO6fshqabX1dbip4qOvI1J4F5AhDLcQDcXs9qVYurfPoRExmfaLoBTJ45TrHgJhg0ZQN1aVfn5h9bs3LEtS3llhqSkJA7s/4eYmGhKly6r9vxvXb9Cu+Z16N6uBfNnTOR1eKgy7uF9bxITEylX8UN9Wlnnwdm1IN53bmZaa9qUSdSqVZsqVat9PnEWuX39Cr80r0v3di3f2ROWIs2JIwdo910denX4npWL5hAdnf3R18gIxfmWlYeS9ChWsgyXzp0iNPgVQghuXbuM/4vnKnXyMbExMRw78Be29nmxzmOXYZ2kpESSkpLQ/+gaBTAwMOD6tbSv0cySEB+Pj/ddqlZTbV+qVqvOzRvX1aKRlJTEoQOKa6ZU6TK8fOlHaEgIVapWV6bR09OjXPmK3FKDpqZt8pg2meq1alP5k3Y1XbtuZl03J+pIk1pJSUkkJSWhp6d6LusZGHD7RurnclRkJFpaWphk0/0ip8pOUzpplp2+Abdvfii7G9cu06pxLdq3/Q6PqeMJDwv9NKt0iY5StJcm7wZXggJeEh4WQpkKVZRpdPX0KF66PPfu3konn0iMjIzR1v7iHtKpI4fes8xXVaNCCIYMGUKNGjUoUUK9ftJZZeTosUya8CeNG9RGR0cHLS0txk2cQtly5TOVz+GD+7l/z5s1m1J2aF1cXLG3d2DJgrmM+nMChoaGbN6wjtCQEEJC0vY7P3fuHE918vPP4OokCYG2lhbzjzxi/61AlXS1C1szu10pDHS1CY6Io/vqq7yOTlDGj/quMNefv+Z4Jn3cP8bP7wXbt3rRoVNXuvfoxZ3bt/Bwn4Kerh4tWrXOcr5p8fDBfTr+2o74+DiMjIyYu2AxBQoWVKtGhSrVqVm3IXns7An0f8mGlUsYNaAHC1ZtQU9Pj/DQUHR0dVVG+wDMLS0JDw3BwkQ/jZxTcmD/P/j4eLN56w612vAx5avUoEbdhuSxcyDI/yUbVi5m9IAeLFjlha6eHgB1GzXD1j4vFlbWPH/yiLXLF/Dk0X2mzVueZV0hBLM83ClbrjxuboXUZQ4APQaMZNHMSXT9oTHa2jpo5dKi//BxFCul+iC3f/c21i6fR2xMDI5OrkyavRRd3ZSuY2lhbGxCqdJl8Vy2BNf8+bGysubg/n3cvnUTJ2dntdkT/jqcpKQkrKysVMKtrKzTbQsywqMHD+ja8Rfi4+MwNDJi5ryF5C9QUNmZsbKy/kTTioCA7LsyaNKmwwf+4Z6PN+s2b08RFxqiGMSw/MQuSysrArPhOqFJe3JCy8jYmOIlS7N+1TKcXfNjYWnFsUP78blzC8d8Kc/luLg4PBfPpUHjZhibmGRJ8z05VXaa0lGW3eqPyu7wfnzufii7ytVqUKd+I2ztHQjwf8nqZQsZ3Kcbnuu3ofeunU0PIQRrlsyhaMkyOLsq7mmv33X+zS1U7TG3sCQ4KPW3IW/fvGb7hhU0atE2y/ZKvl6+qs57v379uHXrFmfPns1WPnFxccTFxamEJSZm7bWR16YN3L51k3kLl2Bvn5drVy/jPmUi1tY2GR4hDQoMYI6HOwuWrkgxcgego6uL++z5TJ3wBw1rVUVbW5uKlatStXrNdPMtXrw41cs4MHzbbR4FRVLE3pTRzQvz6m0ce69/uDldehLO9wsvYG6sx48V8zLnl9K0W/ovYVHx1C1iQ+X8lrRdlHk3j49JThYUK16CAYOGAFCkaDEeP3rE9m1eGum8u7i4sm3nHiIi3nL0yGH+HDOSVWs3qrUDX7t+kw96+d0oVKQ4nX9owuULp9N1tUEoJhNnlMCAADymT2WZ5+pUzw91Ubt+Y+X/LvkL4lakGF1+aMqlC2eUrjZNWrZVSePg6MTA7r/y6L5PlnXdp0zi4YMHrN2gXvcSgH07vXjgfZs/ps3Dxs6euzevsWyuOxZW1iqjVLUbNqVMxcqEhYawZ8t6PCaMZMaiNZnSmuruwYRxY2hUrxba2toUKVqMps2ac8/H+/M7Z5JPzx8hRKbOqdRwdnVh8/ZdREREcPzoYSb8MRrP1es/0lRNL4RQ6zrM6rYpMDCA2R7uLFy2Mt3rJjW71LHMhSbqKKe0xk5yZ8akcbRtVg9tbW3cChelQeNmPPjkOk9MTGDS2OEkJwu1fuE2p8pOEzpjJ7ozY/I42n6XetnVa9hUmTZ/ATeKFC3OTy0bcvHcKWrVbfjZ/D3nT+fZ44dMW7g6FYNUfwpSv9dER0UydfQAHJ3z83Pn3zNlX04i13nPOl9N571///789ddfnD59GkdHx2zl5e7uzsSJE1XCateuzehM5hMbG8vC+fOYM38hNWvVAaBQ4cLcv3+PDetWZ7jzfs/7LuFhoXT59UdlWFJSEtevXWHH1s2cuXSDosWKs3HbbiIjIkhISMDC0pLfOvxMkWJpv4Fo2LAhC0495cC7kfaHQZE4WBjQo46rSuc9JiEJ37AYfMNiuPXiDQeGVKdthbysOPWUygUsyWdpxMU/66rkPa99Ga4+C+fAhgsZstHGxoYCBQqohLnmz8/Ro4cytH9m0dXTU454Fi9Rkrt3brNp43rGTdDc5BxLaxvy2Dnw8oUvABZWViQmJBDx9q3K6Pvr8DCKliwNcRFpZaWCt/ddwkJD+eWn75VhSUlJXL1ymS1em7h8/Tba2trqNYb39tjj/86e1ChYuCg6Ojq89Es7TXq4T53MyZPHWb1uI7Z2GXdTyQhxcbFsWLGQ0VPmULGq4kHXtUAhnj66z+6tG1Q678YmphibmOLg6EzhYqX4tXktLpw5nim9fE5OrFq7kZjoaCKjIrGxycOIoYNwyJu99upjLMwt0NbWJiRE1fUtLCw0xch4ZtHV1SOfk+KaKVa8BN53buO1aQOdf+sOQEhIiMpqImFhYVh+MnKZFTRl0z3vu4SFhdLplx+UYUlJSVy/eoXtWzazY69ivlDoJ3aFh4WlGJHNDJqso5zSyuvoxALPtcTERBMdFYWVtQ0TRg/F3iGvMk1iYgLjRw8lwN+PuUtWZ3vUHXKu7DSpk9fRiQXLPym7Mapl9zFW1jbY2jvg5/v5NnTFghlcPn+aqfNXYm3zYcUyc0vF+fo6LBRLKxtl+JvwMMw+GY2PiY5i0sh+GBgaMWrybHR0Mv6GUfLt8MV93oUQ9OvXj127dnH8+HFcXTO3fFtqjB49mjdv3qhsNWumP4qdGomJiSQmJqClpVpM2rlykZycnOF8KlSuyuYde9mwdZdyK1qsBI2bNWfD1l0qHTMTU1MsLC3xff4MH++71KpTL818dXV1SRaqq8MkJ0OuzzzMamlpoaejsGnlqae0XniB7xddVG4AM/65z9hMTF4tXbYcz549VQl7/vwZ9vapN2jqRghBQnzW/PUzyts3rwl+FahsPN0KF0NHR4frlz884ISFBPP86SOKlSid4XwrV6nCjj1/s3XnHuVWvHgJmjVvwdadezTScYf39gSlcCv4mOdPH5OYmJhumtQQQjBtyiSOHT3MitXrcHTMl93DTUFSYiKJiYnk+mTkKVcubcRnrk8hIDEhId00aWFoZISNTR7evnnD+fNnqVMv7QnCmUVXT4+ixYpz8fw5lfCL589Tuox653QIofANzpvXEStra/69cF4Zl5AQz7WrlymlBk1N2VSxclW8duxl49Zdyq1o8RI0adacjVt3kdcxn8Kui6nYlY35MTlZR5rWMjQ0wsrahoi3b7h88TzV3y0t+77j/tLXlzmLV2Jmbp5tLci5sssJnbTK7lPevH5NcFAgltZpt6FCCDznT+fimeNMmrMc20/um7b2ebGwtObmRwshJCQkcPfmVYoU/7BUbXRUJBOG90FHR5cxU+em8M3/2tDS0vz2X+WLj7z37duXzZs3s3fvXkxNTQkMVIwim5mZYWhoCChGgHx9ffF/56d4//59AOzs7LBLZTRPX18/xWtUHZ3UTY2OjuLFR0/EL1/6cf+eD7nNzLC3d6B8hYrMmzMTAwN97O3zcvXKJfb9vZchw9Neju9TjI2NU6wrbGhoiJmZuTL82OGDmFtYYmdvz6OHD5jr4U6tuvWpUq16alkC8ODBA3rWKULA61geBUVS1CE3nWs4s+uKYi1nQ11tetZ15bhPMCERcZgZ6fJL5XzY5tbn0G1FOYdExqc6STXgdQwvw2Mgg9d+h46d6dLxF1Z6LqNRk6bcuX2LnTu28ed49Y+EL5g3hxo1a2FrZ0d0VBQHD+znyuVLLFm+MlP5xERH4//yQ90HBbzk8cN7mJqaYZrbjI2rl1KjTgMsrawJCvBnredCcpuZU622opE2NjGlUfM2rFg8G1Mzc0xz52bl4jm45HejTIUqeF/NmPuXsbFJCl9wQyMjzM3MM+Uj/jl7Nq1eRvU69ZX2rHtnT9V39gS8fMGJw/upULUGZmbm+D57wspFcyhQqAjFSpbh5vmML486bfJEDuzfx7yFSzA2MiYkWOFnamJqioGBQaZsCnj5QsWmJw/vY5o7Nza29pQoU541y+ahp2+gcJu5cZUTh/bxW1+F+1agvx9njh+ibMWqmJlbEBr8ip1ea9HX16d8lRoc9L2f4WM5f+4MQghcXFzx9fVl7mwPXFxcadX6+8/vnAk6du7K2FEjKFaiBKVLl2Xn9q0EBATw48/tspzn4vlzqVajJrZ29kRHRXHo4H6uXrnEgqWeaGlp8UuHTqxZ5YmTszP5nJxZs9ITAwMDmjRr/tXaZGxsTMFPrxtDQ8zMzZXhv7RX2JXPSWHX2lUKuxpn0y5N2JOTWpcunEMIgZOzC35+viybP5t8zi40a9maxMRExo0cwoN73kyfu5ikpGTl/IHcZmaZmiuSU/bkpM6lC+cQCJyc3pXdgndl16I10dHRrF2xmFp1G2JlbUNgwEtWLJmPmbkFteqk7WrpOW86p48dYPSUuRgaGREepihvI2MT9PUN0NLSovkPv7Jj02rsHZ2wd3Ri58bV6BsYUKuBwk0nJjqKicP7EBcXy6AxU4iOjlIuNpDbzCJbNku+Pr54533pUsX6p3Xq1FEJX7NmDV26dAHgr7/+omvXrsq4du0UF9/48eOZMGFCtvS9796hx2+dlb9nz1SsJd+iZWsmTZ3O9JlzWDhvDmNGDeftmzfY2zvQt/8gfvxJvQ1NSEgw82Z7EBYagrWNDU2bt6Lb773S3efAgQPkrWXBuJZFsTTR49XbOLZd8mPp8ccAJAmBq40x88s6YGGsx+voeO74vaWj52UevVLP+s3vKVGyFHPmLWLB/Dl4LltM3ryODB85hu+at1SrDig+aDV21AiCg19hYmpKoUKFWbJ8JVXTedBJjYf37jJyQHflb8+FswBo0LQl/YaN5dmThxw7+DdRkRFYWtlQqlxFRk/0wMjIWLlPz/7D0dbWxn3ccOLj4ihdvhJDZ0zW2Gj55+wZNaCH8veKhbPf2dOCvp/YY2FlQ+lyFRj1kT06OrrcuHqJvds3ExMTjU0eOypWrUH733pl2p73y7F169JRJXzSFHdatcl4Z/fRfW/GDvpg06rFCpvqNWnBoNGTGD5uOus9FzJ7yhgi377Fxs6eDt370rSVwkVNV08P71vX+WvHZqIi3mJuYUXx0uWYsXgt5haZW9EqIiKChfPmEBQUiJmZOfUbNqLfgMHZ7sx8SpOmzXjzOhzPpUsIDn5FQbdCLF7miUMar+UzQmhYCOPGjiQkOBgTE1PcChViwVJP5Uosnbt2Jy42julTJxHx9i0lSpZi0bKVGBsbfybnL2dTRujUtTtxcXHMmDZJ+ZGmhUuzb1dO2qMJrcjICFYsnkfwqyBMc5tRu15DuvcZgI6OLgH+Lzl3WvGdhG7tf1DZb96y1ZQtX+mrsycndSIjI1ix5JOy660ou6TEJJ48esih/X8TGfEWK2sbypavxIRpszBK55w7+JdiwvWfg3uohPcfOYF6TRT30DbtOhMfF4vnvOlERrzFrWgJxs9cguG79vvxAx8e+CiWsO7ToZVKPsu91LPkq7r5Dw+MaxwtIT7xu/iPMnHiRIaPHqdRjZnuilHmgSMy/1GbzDLfYwoAW+OqalTnZ32FS8iIMeM1quMxTTFHYeRYzerMmKrQ6dhnpEZ1ADYsUXyVNKds6tBnhEZ1Ni7xAHLOnnY9h2tUB2DL8pnAf+/8HjJKfZMLU2PO9MmA5u2BDzapc8JkasydkTM2vbcnp3R6Dh6jUR2A5XOnAf/Bshuk2bJbPk9Rbj/2GKZRHYDtK2Yxfrzmr9fMEB2v+e6nkd5/8xHhi4+8SyQSiUQikUj+z/hv9qtzhC8+YVUikUgkEolEIvnSLFmyBFdXVwwMDChfvjxnzpz50oeUKrLzLpFIJBKJRCLJUbRy4C8zbN26lUGDBjF27FiuX79OzZo1adq0Kb4ZWOYzp5Gdd4lEIpFIJBLJ/zVz5syhW7dudO/enaJFizJv3jzy5cunXFjla0J23iUSiUQikUgkOcrXtM57fHw8V69epVGjRirhjRo14vz582ns9eX4v1ptRiKRSCQSieT/ka9ttZnYRM1raCXFERcXpxKW2reA/P39yZs3L+fOnaNatWrK8GnTprFu3Trl94W+GoQkVWJjY8X48eNFbGzsf0InJ7WkztevJXW+fi2p8/VrSZ2vX0vq/H8zfvx4Aahs48ePT5Hu5cuXAhDnz59XCZ8yZYooXLhwDh1txvm/GXnPLG/fvsXMzIw3b96QO3fub14nJ7WkztevJXW+fi2p8/VrSZ2vX0vq/H8TF5exkff4+HiMjIzYvn07bdq0UYYPHDiQGzducOrUqRw53owifd4lEolEIpFIJP859PX1yZ07t8r2accdQE9Pj/Lly3PkyBGV8CNHjqi40XwtyI80SSQSiUQikUj+rxkyZAgdO3akQoUKVK1aFU9PT3x9fenVq9eXPrQUyM67RCKRSCQSieT/mp9//pnQ0FAmTZpEQEAAJUqUYP/+/Tg7O3/pQ0uB7Lyngb6+PuPHj0/19cq3qJOTWlLn69eSOl+/ltT5+rWkztevJXUkmaFPnz706dPnSx/GZ5ETViUSiUQikUgkkm8EOWFVIpFIJBKJRCL5RpCdd4lEIpFIJBKJ5BtBdt4lEolEIpFIJJJvBNl5l0gkEolEIpFIvhFk513yTSPnW0skEolEIvl/Qi4V+Q4/Pz+WLl3K+fPnCQwMREtLC1tbW6pVq0avXr3Ily/flz5ESSro6+tz8+ZNihYt+qUPRZKDBAQEsHTpUs6ePUtAQADa2tq4urrSunVrunTpgra29pc+RIlE8h8mKiqKzZs3p+gzVK9enV9++QVjY2ONH0NQUBDLly9n3LhxGteSfF3IpSKBs2fP0rRpU/Lly0ejRo2wtbVFCMGrV684cuQIL1684MCBA1SvXl3jx/LixQvGjx/P6tWrs51XTEwMV69exdLSkmLFiqnExcbGsm3bNjp16pRtHR8fHy5evEjVqlUpUqQI9+7dY/78+cTFxdGhQwfq1auXbY0hQ4akGj5//nw6dOiAlZUVAHPmzMm21seEh4ezbt06Hj58iL29PZ07d1bbg9z169cxNzfH1dUVgI0bN7J06VJ8fX1xdnamX79+tGvXLts6/fv356effqJmzZrZzutzLFy4kCtXrvDdd9/x008/sWHDBtzd3UlOTub7779n0qRJ6Ohkb8zgypUrNGjQAFdXVwwNDfn3339p37498fHxHDp0iKJFi3Lo0CFMTU3VYtPXcJMG9d+o/fz8MDc3x8TERCU8ISGBCxcuUKtWrWxrhIaGcuvWLUqXLo2lpSUhISGsWrWKuLg4fvzxR40+dOfPn59Dhw7h5uamMY2EhAT++ecfZfvQpk0btZwPfn5+GBgYYG1tDcCZM2dYtmyZsm3o27cvVatWzbbO7Nmz+eGHH3LkIzR///03V65coUmTJlStWpXjx48za9YsZdvw+++/q00rJiYGLy+vVB/u69evn+38vb29adiwIdHR0dSuXVulz3Dq1CmMjY05fPhwivuuurl58yblypUjKSlJozqSrxAhERUqVBCDBg1KM37QoEGiQoUKOXIsN27cELly5cp2Pvfv3xfOzs5CS0tL5MqVS9SuXVv4+/sr4wMDA9Wic+DAAaGnpycsLS2FgYGBOHDggLCxsRENGjQQ9evXFzo6OuLYsWPZ1tHS0hJlypQRderUUdm0tLRExYoVRZ06dUTdunWzrWNvby9CQkKEEEI8efJE2NnZCTs7O9GwYUPh6OgozMzMhI+PT7Z1hBCibNmy4vjx40IIIVasWCEMDQ3FgAEDxNKlS8WgQYOEiYmJWLVqVbZ13p8Dbm5uYvr06SIgICDbeabGpEmThKmpqWjbtq2ws7MT06dPF1ZWVmLKlCli2rRpwsbGRowbNy7bOtWrVxcTJkxQ/t6wYYOoXLmyEEKIsLAwUaZMGTFgwIBs6wghxN27d4WDg4MwNzcXrVq1Er///rvo0aOHaNWqlTA3Nxd58+YVd+/eVYvW51BX2+Dv7y8qVqwocuXKJbS1tUWnTp1ERESEMl5dbcO///4rzMzMhJaWlrCwsBBXrlwRrq6uws3NTRQsWFAYGhqKq1evZltn/vz5qW7a2tpi9OjRyt/qoGrVqiI8PFwIIcSrV69EyZIlhZ6ennBzcxMGBgbCyclJ+Pn5qUVn//79Qggh9uzZI3LlyiVatmwpRo4cKdq0aSN0dXXF33//nW0dLS0toa2tLRo0aCC2bNki4uLisp1naixdulTo6OiI8uXLi9y5c4uNGzcKU1NT0b17d9GzZ09haGgo5s2bpxathw8fCmdnZ2FlZSXs7e2FlpaW+O6770TlypWFtra2+PHHH0VCQkK2NOrUqSPatWuXannFxcWJX375RdSpUydbGkIIcfPmzXS3rVu3quValXx7yM67EMLAwEDcu3cvzXgfHx9hYGCgFq29e/emu82dO1ctF2Pr1q1F8+bNRXBwsHj48KFo0aKFcHV1Fc+fPxdCqO8GXbVqVTF27FghhBBeXl7CwsJCjBkzRhk/ZswY0bBhw2zrTJs2Tbi6uqZ4ENDR0VFr50lLS0sEBQUJIYRo166dqFOnjoiKihJCCBEbGyuaN28ufvjhB7VoGRkZKeujbNmyYvny5SrxmzZtEsWKFcu2jpaWljh69KgYOHCgsLa2Frq6uqJly5bi77//FklJSdnO/z358+cXO3fuFEIoOpra2tpi48aNyvhdu3aJggULZlvH0NBQPH78WPk7KSlJ6OrqisDAQCGEEIcPHxYODg7Z1hEi527SQuTcjbpTp06iSpUq4vLly+LIkSOiQoUKonz58iIsLEwIoWgbtLS0sq3ToEED0b17d/H27Vsxc+ZM4ejoKLp3766M79atm2jdunW2dbS0tISjo6NwcXFR2bS0tETevHmFi4uLcHV1zbbOe6337UOPHj1EmTJllA/DISEholq1auK3337Lto6pqal4+vSpEEKIypUri+nTp6vEL1y4UJQtWzbbOlpaWmLNmjWiVatWQldXV1hZWYmBAweK27dvZzvvjylatKjw9PQUQghx/PhxYWBgIBYvXqyMX7NmjShatKhatJo2bSp69uypbNvc3d1F06ZNhRBCPHjwQLi4uIjx48dnS8PQ0DDd+87t27eFoaFhtjSE+DDwoqWllWJ7Hy477/+fyM67EMLV1VWsXr06zfjVq1ertfFP62L8+KLMLnny5BG3bt1SCevTp49wcnISjx8/VlvnPXfu3OLhw4dCCEUnSkdHR2U07fbt28LW1jbbOkIIcenSJVGoUCExdOhQER8fL4TQbOc9tYeFixcvCkdHR7VoWVlZiStXrgghFPV148YNlfhHjx6p7Qbw3qb4+HixdetW0bhxY6GtrS0cHBzEmDFjlHWYHQwNDZUPI0IIoaurK+7cuaP8/ezZM2FkZJRtHWdnZ3H27Fnlb39/f6GlpSWio6OFEEI8ffpUbQ/bOXWTFiLnbtQODg7i33//Vf6OjY0VrVq1EmXKlBGhoaFqaxssLCyEt7e3EEJx3uXKlUtF99q1ayJv3rzZ1vn9999FmTJllFrvUXfbIITqtVSoUCGxb98+lfgTJ04IFxeXbOuYmZmJmzdvCiEUbcP7/9/z6NEjtVxLH9sTFBQkZsyYIYoUKSJy5colKlasKDw9PcXbt2+zrZNa2/DxA8LTp0/VYo8QikGRBw8eKH/HxcUJXV1d5RvVPXv2ZLuOHBwcxJ49e9KM3717t1oGEKytrcWqVavEs2fPUt3++ecf2Xn/P0WuNgMMGzaMXr160a9fP/bu3cvFixf5999/2bt3L/369aN3796MGDFCLVr29vbs3LmT5OTkVLdr166pRScmJiaFb/HixYtp2bIltWvX5sGDB2rR+ZhcuXJhYGCAubm5MszU1JQ3b96oJf+KFSty9epVgoODqVChArdv30ZLS0steX/M+zzj4uKwtbVVibO1tSU4OFgtOk2bNmXp0qUA1K5dmx07dqjEb9u2jYIFC6pF6z26urr89NNPHDx4kCdPntCjRw82bdpE4cKFs523nZ0d3t7eADx8+JCkpCTlb4C7d++SJ0+ebOu0bt2aXr16cfDgQU6cOEH79u2pXbs2hoaGANy/f5+8efNmWwfAwsKChw8fphn/6NEjLCws1KJlZWXFihUrePr0aYrtyZMn7Nu3Ty06b968UTlmfX19duzYgYuLC3Xr1uXVq1dq0YmPj1fWia6uLkZGRkofblDYGxoamm2d5cuXM378eBo3bsyiRYuynd/neN8+vH79Wjlf5T2urq4EBARkW6N27dp4eXkBULZsWU6ePKkSf+LECbWd4+/JkycPI0aMwMfHh5MnT1KsWDEGDx6Mvb19tvO2srLi+fPnAPj7+5OYmIivr68y/vnz51haWmZbB8Dc3JyIiAjl7+joaBITE9HT0wOgVKlS2a6jHj160LlzZ2bNmsXNmzcJDAwkKCiImzdvMmvWLH777Td69uyZLQ2A8uXL4+/vj7Ozc6pb3rx55Ypr/6986aeHr4UtW7aIypUrCx0dHeVol46OjqhcubLYunWr2nRatGgh/vzzzzTjb9y4oZZX1hUrVhTr169PNa5v377C3NxcLU/spUqVEgcOHFD+vn37too/4ZkzZ9T21uJjvLy8hK2trciVK5faR95LliwpypYtK0xMTMSuXbtU4k+dOqWW0UIhhHj58qVwcXERtWrVEkOGDBGGhoaiRo0aokePHqJWrVpCT09P/PPPP9nW+Xh0LTWSk5PF4cOHs60zduxYYWNjI7p37y5cXV3F6NGjhZOTk1i6dKlYtmyZyJcvnxg8eHC2dSIiIsRPP/2kvFarVasmnjx5oow/dOiQ2LZtW7Z1hBBi/PjxwszMTMycOVPcuHFDBAQEiMDAQHHjxg0xc+ZMYWFhISZOnKgWrcaNG4vJkyenGa+utqFkyZJix44dKcITEhJE69athZOTk1rahiJFiqi8udq3b5/y7YgQ6n2LJYQQfn5+ol69eqJJkyYiICBAYyPvzZo1E23atBEWFhZKv/T3XLhwQS1vGr29vYWVlZXo1KmTmDx5sjAxMREdOnQQU6dOFZ06dRL6+vpizZo12dbJlStXum3DmzdvlO4u2aFv377Czc1NTJkyRVSqVEl07txZFClSRBw4cEAcPHhQlCxZUi3uRkII0blzZ1G7dm3h4+Mjnjx5In7++WcVF6OTJ0+KfPnyZVtn+vTpSp/6XLlyKd+O2dvbixkzZmQ7fyEUroYbNmxIMz4sLEysXbtWLVqSbwvZef+E+Ph44e/vL/z9/ZWuGerk9OnTKp3dT4mMjBQnT57Mts60adOUfn6p0bt3b7V0BJYuXZri1fHHjBkzRnTr1i3bOqnx4sULsWfPHhEZGam2PCdMmKCyHTx4UCV+2LBhol27dmrTCw8PFyNHjhTFihUTBgYGQk9PTzg7O4tff/1VXL58WS0aLi4uylfGmiQxMVFMmTJFNG/eXOmj6+XlJfLlyyesrKxEly5d1FpXMTExKhMtNUVO3KSFyLkb9YgRI0SjRo1SjUtISBAtW7ZUS9swYcIE4eXllWb8mDFjxPfff59tnY9JTk4W06ZNE3Z2dkJbW1vtnfcuXbqobJ8+JA4bNkw0btxYLVqPHj0S7dq1E6ampsoBJV1dXVGtWjWxe/dutWh87sFeXURGRoru3buLEiVKiF69eon4+Hgxc+ZMoaenJ7S0tESdOnXUdhxBQUGiSpUqyuvVxcVFXLt2TRm/fft2sWDBArVoCaFY2OD8+fPi/PnzKoMIEokmkUtFSiQSSQZ4+vQpgYGBgMJF6FOXiW+FxMREoqOjyZ07d6rxSUlJ+Pn5aXz5wOjoaLS1tdHX11d73levXuXs2bN06tRJbW5NGSEqKgptbW0MDAzUlqd4twRhcnIy1tbW6Orqqi3vL01sbCwJCQlqW9b1Yx4+fEhcXBxFihTJ9vK0EsnXhvR5l0gkkgzg6upK1apVqVq1qrLj/uLFC3777bcc0VeXlo6OTpodd1D4JE+cODHbOp8jNDSU3r17ayTv8uXLM3DgQCwsLHK0jsLCwujTp49a83z/XQF7e3tlxz2nbNK0joGBAaamphrRcXNzo0SJEik67urSiomJ4ezZsyrzet4TGxvL+vXrs62RkzqSbws58i6RSCRZJCc/kpJTWlLn69eSOl9W68GDBzRq1AhfX1+0tLSoWbMmXl5eysm9QUFBODg4ZNuenNKRfHvId0kSiUSSBn/99Ve68U+ePPnmtKTO168ldb5urZEjR1KyZEmuXLnC69evGTJkCNWrV+fkyZM4OTllO/+c1pF8e8iRd4lEIkmDXLlyoaWlle5ybFpaWmoZ+copLanz9WtJna9by9bWlqNHj1KyZEllWN++fdm3bx8nTpzA2NhYLSPiOaUj+faQPu8SiUSSBjn1XYac1JI6X7+W1Pm6tXLqOypf4nstkm8D2XmXSCSSNChfvny6N/vPjfB9jVpS5+vXkjpft1aRIkW4cuVKivCFCxfSqlUrWrZsma38c1pH8u0hfd4lEokkDYYPH05UVFSa8QULFuTEiRPflJbU+fq1pM7XrdWmTRu8vLzo2LFjirhFixaRnJzMsmXLsqWRkzqSbw/p8y6RSCQSiUQikXwjSLcZiUQikUgkEonkG0F23iUSiUQikUgkkm8E2XmXSCQSiUQikUi+EWTnXSKRSCQSiUQi+UaQnXeJRPKfYu3atWhpaSk3HR0dHB0d6dq1Ky9fvtS4vouLC126dFH+PnnyJFpaWpw8eTJT+Zw/f54JEybw+vVrtR4fQJcuXXBxcVF7vhKJRCLRPLLzLpFI/pOsWbOGCxcucOTIEXr06IGXlxc1a9ZMdxk5TVCuXDkuXLhAuXLlMrXf+fPnmThxokY67xKJRCL5dpHrvEskkv8kJUqUoEKFCgDUrVuXpKQkJk+ezJ49e2jfvn2K9NHR0RgZGan9OHLnzk2VKlXUnq9EIpFI/j+RI+8SieT/gvcd6OfPn9OlSxdMTEy4ffs2jRo1wtTUlPr16wMQHx/PlClTKFKkCPr6+tjY2NC1a1eCg4NV8ktISGDEiBHY2dlhZGREjRo1uHTpUgrdtNxm/v33X1q0aIGVlRUGBgYUKFCAQYMGATBhwgSGDx8OgKurq9IF6OM8tm7dStWqVTE2NsbExITGjRtz/fr1FPpr166lcOHC6OvrU7RoUdavX5/VIpRIJBLJV4AceZdIJP8XPHr0CAAbGxsePHhAfHw8LVu2pGfPnowaNYrExESSk5Np1aoVZ86cYcSIEVSrVo3nz58zfvx46tSpw5UrVzA0NASgR48erF+/nmHDhtGwYUPu3LnD999/T0RExGeP5dChQ7Ro0YKiRYsyZ84cnJycePbsGYcPHwage/fuhIWFsXDhQnbt2oW9vT0AxYoVA2DatGn88ccfdO3alT/++IP4+HhmzpxJzZo1uXTpkjLd2rVr6dq1K61atWL27Nm8efOGCRMmEBcXR65ccuxGIpFIvkmERCKR/IdYs2aNAMTFixdFQkKCiIiIEPv27RM2NjbC1NRUBAYGis6dOwtArF69WmVfLy8vAYidO3eqhF++fFkAYsmSJUIIIXx8fAQgBg8erJJu06ZNAhCdO3dWhp04cUIA4sSJE8qwAgUKiAIFCoiYmJg07Zg5c6YAxNOnT1XCfX19hY6Ojujfv79KeEREhLCzsxM//fSTEEKIpKQk4eDgIMqVKyeSk5OV6Z49eyZ0dXWFs7NzmtoSiUQi+XqRQy8SieQ/SZUqVdDV1cXU1JTmzZtjZ2fHgQMHsLW1VaZp27atyj779u3D3NycFi1akJiYqNzKlCmDnZ2d0m3lxIkTACl853/66Sd0dNJ/ofngwQMeP35Mt27dMDAwyLRdhw4dIjExkU6dOqkco4GBAbVr11Ye4/379/H39+fXX39FS0tLub+zszPVqlXLtK5EIpFIvg6k24xEIvlPsn79eooWLYqOjg62trZK15P3GBkZkTt3bpWwoKAgXr9+jZ6eXqp5hoSEABAaGgqAnZ2dSryOjg5WVlbpHtd733lHR8eMG/PJMQJUrFgx1fj37jBpHeP7sGfPnmVJXyKRSCRfFtl5l0gk/0mKFi2qXG0mNT4ejX6PtbU1VlZWHDx4MNV9TE1NAZQd9MDAQPLmzauMT0xMVHaa08LGxgYAPz+/9A1IA2trawB27NiBs7Nzmuk+PsZPSS1MIpFIJN8GsvMukUgk72jevDlbtmwhKSmJypUrp5muTp06AGzatIny5csrw7dt20ZiYmK6GoUKFaJAgQKsXr2aIUOGoK+vn2q69+ExMTEq4Y0bN0ZHR4fHjx+ncPv5mMKFC2Nvb4+XlxdDhgxRPqw8f/6c8+fP4+DgkO5xSiQSieTrRHbeJRKJ5B3t2rVj06ZNNGvWjIEDB1KpUiV0dXXx8/PjxIkTtGrVijZt2lC0aFE6dOjAvHnz0NXVpUGDBty5c4dZs2alcMVJjcWLF9OiRQuqVKnC4MGDcXJywtfXl0OHDrFp0yYASpYsCcD8+fPp3Lkzurq6FC5cGBcXFyZNmsTYsWN58uQJTZo0wcLCgqCgIC5duoSxsTETJ04kV65cTJ48me7du9OmTRt69OjB69evmTBhQqquNBKJRCL5NpCdd4lEInmHtrY2f/31F/Pnz2fDhg24u7ujo6ODo6MjtWvXVnaoAVatWoWtrS1r165lwYIFlClThp07d9KuXbvP6jRu3JjTp08zadIkBgwYQGxsLI6OjrRs2VKZpk6dOowePZp169axYsUKkpOTOXHihDK8WLFizJ8/Hy8vL+Li4rCzs6NixYr06tVLmUe3bt0AmDFjBt9//z0uLi6MGTOGU6dOpVh3XiKRSCTfBlpCCPGlD0IikUgkEolEIpF8HrlUpEQikUgkEolE8o0gO+8SiUQikUgkEsk3guy8SyQSiUQikUgk3wiy8y6RSCQSiUQikXwjyM67RCKRSCQSiUTyjSA77xKJRCKRSCQSyTeC7LxLJBKJRCKRSCTfCLLzLpFIJBKJRCKRfCPIzrtEIpFIJBKJRPKNIDvvEolEIpFIJBLJN4LsvEskEolEIpFIJN8IsvMukUgkEolEIpF8I/wPNhtOLQvsF5MAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Saved to: etc_sub.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x2200 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Saved to: etc_rf.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Saved to: lgbm_main.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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hODhYZ/KkKAozZ87MUxvy+vTQ33//nd9++w17e3tu3bpFQEBAjm/cfbyq+7IYGxvz9ttv8+OPPxIcHEyDBg2e+6H12LFjbNq0iVatWrF582adn5PDhw/z448/vnSbcsPjLTe7d+/myy+/zPF1kyZNwszMjBMnTuDh4aFTtmbNmly14fHP+s8//5zl2M3n1Q8LC8u2/OnfrZf5nXvez+aTN66OGDFCu4VGtswIQuFCts0IhZ53330XQ0ND5s+f/8w/ro95vMJYsWJFzMzMOHbsWLYPo9m/fz+Q99NhXsTj0ymyW308derUc6+1t7enU6dOBAUF0bx5cy5cuMDVq1efWf919/Vp2rRpg5OTE/fu3aNr167P/dAQHh5OTEwM9evXz7Lqefz4cRITE7Nc83hy+qq/Bbl9+zZDhgyhZMmSBAcHU7t2baZPn659//TJoEGDyMjI4MGDB8+9XwAyT1UBaNu2bZYPeAcOHMi3Nj6LZs2aUb58eQ4ePMjevXufW/fJbwSuXbtGpUqVskzc79+/r+3jkzzv5+DxvvVDhw7lqM2PT/bJ7r6Qu3fvcufOHZ284sWLU758ea5evZrt73hef+fMzc15++23OXXqFPv37+f333+nWrVqejnpSBAE/SGTd6HQU6FCBcaNG0d4eDh+fn46X18/Jikpie+++0678mliYkLv3r0JDw8nMDBQp+6uXbvYunUrFSpU0Lkx71VSu3ZtIHPP95OsXbs228ng9u3bs6zSp6amar/+f7yNJDted1+fxsjIiD/++IP169e/cNW6ZMmSmJubc/LkSZ0PHlFRUXzwwQfZXvP4psa7d+++sjZnZGTw9ttvEx0dzZIlSyhdujSrVq3C3Nycfv36ERUV9cpcOaFKlSps2bKF9evXP/ebC0B7fOLTxzieO3cuy8+DPjA0NGT27NkYGBjQo0cP9uzZk229TZs20a1bN+1rV1dXrl69qrOanZSUxPDhw7P9But5Pwd169alXr16rF69mqCgoCzlGRkZOr+HjRo1omzZsmzcuJGjR4/q1J04cWK2/v79+5Oamoq/vz+Komjzz549y+LFi7G2ts71lin478bVPn368OjRI1l1F4RCiGybEYoEU6ZMISkpie+//x4vLy+aN2+Ot7c3xsbG3Lhxg127dhEREcGUKVO018yYMYP9+/czZcoUDh48SL169bRnn1tYWLB48eJ8O0WkU6dOuLm5sWTJEu7cuYOPjw8XLlxgz549tGnThi1btujU79mzJxYWFjRq1AhXV1dSU1PZuXMn58+fp2fPni98Iubr7Gt21KlTJ0erhQYGBowYMYJvv/2W6tWr0759e2JjY9m6dSuurq64uLhkuaZ58+Z88803DB06lO7du2NpaUnZsmXp06dPnts7depUDhw4wKhRo7Snunh4ePDTTz8xaNAghgwZwu+//57n+HnheafLPEndunWpW7cuv/32GyEhIdSvX5/bt2/zxx9/0LZtW9auXZvPLc1K69atWb58Oe+99x4tWrSgdu3a+Pr6YmVlxcOHD9m3bx/Xrl3jzTff1F7zwQcf8MEHH+Dj40O3bt1IS0tj586dKIpC9erVtTeVPqZZs2ZoNBomTJjAxYsXsba2xtramuHDhwOwevVqmjVrRq9evfjhhx+oVasWZmZm3L59m0OHDhEWFkZSUhKQ+YFj7ty5dOjQgSZNmtCrVy+cnJzYv38/9+7do3r16vz77786/nHjxrF582aWL1/OhQsXaNGiBWFhYQQFBZGamsqyZcuwsrLK9Xvn7e1NgwYNOHjwIGZmZrz99tu5jiEIgsp5zUdVCoJeOXbsmDJw4EClQoUKirm5uWJqaqqUK1dO6d27d5bznBUl89zyUaNGKa6uroqxsbHi4OCgdOvWLdsnLOblqag845x3RVGU69evKx07dlSsrKwUS0tLpUWLFsqxY8eyjfXLL78oHTp0UFxdXRUzMzPF3t5eqVevnjJv3jwlNTU1R8787mt2PH3O+4sgm3PeU1JSlKlTpyoeHh7ap7yOGTNGiYuLU1xdXbM8NVNRFGXmzJmKh4eHYmxs/MwnrD6Lp884P3TokGJkZKR4e3sriYmJWep369ZNAZQFCxbkqI+55clz3l/Es855Dw0NVQYOHKi4uLgoZmZmStWqVZXZs2cr169f13ny72Ne9ITVZ3kDAgJy1be7d+8qn376qeLj46MUL15cMTIyUhwdHZXWrVsrixYt0nn6a0ZGhjJ37lylSpUqipmZmeLk5KQMGjRIefjw4TPP5l+yZIlStWpVxdTUNNsnrEZGRiqff/654u3trZibmyvFihVTPDw8lD59+ij/+9//ssTbs2eP0qhRI8Xc3Fyxs7NTunfvrty+fVvx9vZWrK2ts9SPj49XJk6cqHh6eiomJiaKjY2N4ufnpxw4cCBL3dz8Xs2bN08BlLfffvuFdQVBKHhoFOWJ7+sEQRAEQXhlxMXF4ejoSNWqVTly5IhenCNGjGDOnDns37+fN954Qy9OQRD0h+x5FwRBEISXJCEhgbi4OJ289PR0PvnkExITE/O0fz0vhIWFsWzZMipVqiQTd0EopMied0EQBEF4Sa5cuUKjRo1o1aoV5cuXJy4ujgMHDnD+/HmqVKnCqFGj8tW/efNmTp48ydq1a0lISCAgICBffYIgvD5k24wgCIIgvCRhYWGMGzeO/fv38/DhQ9LS0ihbtiydOnViwoQJ2NjY5Kv/3XffZenSpbi4uPD+++/j7++frz5BEF4fMnkXBEEQBEEQhAKC7HkXBEEQBEEQhAKCTN4FQRAEQRAEoYAgk3dBEARBEARBKCAUmdNmJk+e/LqbIAiCIAiC8FpQ2wlE5j7v57sj8dSsfHe8DorM5B2gTrfh+Rr/2No5AHw6If9/QWZMnawXl3jU7xKP+l3iUb+rsHp+S/HNVw9AD5NDQOF77wqL50mXUDgoUpN3QRAEQRAEQQVoZOd2XpF3ThAEQRAEQRAKCLLyLgiCIAiCIOgXjeZ1t6DAIivvgiAIgiAIglBAKDCT919++QU3NzfMzMyoVasWBw4cyHWMbWsW8VGXxjrpi4EdteWrfp6apfyHT4dqyyNDQ7KUP07BB/fmqV9Bq1fi17I5dXyq0qt7F06eOJ6nOEXNo0+XeNTvEo/6XeLRj0sDGBvAmDFjCAgIoHmlEjrlI5q7s2l0Q44FtODg5834dUAtqpa21qnTvU4pFg+qzZGJzTk3tSVWZs/+kt7YUMPQoUMJCAggp+uoRX2MCoJHL2gM8j8VUgpEz4KCghg9ejQTJkzg1KlTNG7cGD8/P27fvp3rWE5l3Ji8cIM2jft+iU55RZ96OuWDP/9aW2ZjX1KnbPLCDbTuNRATM3Mq+dTLdVu2bd3CzOmBDB4ynKC1G6hZsxYjhg4m5P79XMcqSh59usSjfpd41O8Sj/5cGg0owJYtW7ItvxWewNRNF+j800H6zT/KvehEFgyoia2FsbaOmbEh/1wJZ8H+6y9s38etPYmLi8u3/uQVNY+R2j2C+ikQk/fvvvuOQYMG8d5771GpUiV++OEHypQpw5w5c3Idy8DQkOK29tpUzNpWp9zI2Fin3NKq+DOvLW5rz5kjB/Bp2BxTc4tct2X50sV07tqVLt26U97dnXH+E3ByduK3oNW5jlWUPPp0iUf9LvGo3yUe/bkyFEjLgIsXL2ZbvvnfBxy+FsndqESuhSYwc8slrMyM8XSy+s958Da//nWT03dintu2Rp4ONKhgz44dO/KtP3lFzWOkdo/e0GjyPxVSVD95T0lJ4cSJE7Rs2VInv2XLlhw8eDDX8cJD7hIwqBNfDevBsm8DCH+g+4n16tlgJr7bnmkjexP0ywzioqOeGevOtUvcu3GFei3a5rodqSkpXDh/Dt8GjXTyfRs05HTwqVzHKyoefbrEo36XeNTvEo96XcaGGrrXKU1sYiqXHuR89RzA3tKEyZ0q47/2LKmpqTm6RsZI/R6hYKD602bCw8NJT0/H0dFRJ9/R0ZEHDx7kKparZ2X6jJpACZcyxEVHsXPtUn76bDif/rgMSytrKvnUp7pvM+xKOBERGsLW1b/yS8CHfPzNrxgZm2SJd2TXnziWdsWtYtVc9ysqOor09HTs7e118u3tHQgPD8t1vKLi0adLPOp3iUf9LvGoz9XEy4FvelbDzNiQsPhkBi8+QfSjnE3AHzO1mze/Hb3DuXuxNCjx4vogY1QQPHqlEO9Jz29UP3l/jOaprz8URcmS95jk5GSSk5N18tLS0qhUs/5/Ga5QzqsKU0f04tjerTTt0AufRi20xc6u5Snj7sVXw7pz/sQhqtVvohMvJTmZEwd20bJ7f731SzyvxyUe9bvEo36XeNTjOno9iq6zDmFjaUK32qX4tld1es89QmRCSo6u7+tblmKmhizYfyNPfhkj9XsEdaP6jz0ODg4YGhpmWWUPDQ3Nshr/mMDAQKytrXVSdqfTmJqZ41y2PGEhd7ONY23ngG0JJ8LuZy0/fWgvqSlJ1GnaKg+9AlsbWwwNDQkPD9fJj4yMwN7eIU8xi4JHny7xqN8lHvW7xKM+V2JqOrcjE/n3TgxfrD9PekYGXWqVyvH19crbUa2MDacmv8npL99k1KhRAJgYZp508yxkjNTv0Suy5z3PqH7ybmJiQq1atdi5c6dO/s6dO2nQoEG21/j7+xMTE6OTGjdunKVeWmoKD+/eoritfTZRICEuhujw0GzLj+zeTJXaDbPc8JpTjE1MqFS5CocP/qOTf/jgQarX8MlTzKLg0adLPOp3iUf9LvGo36XRaDAxyvl0IPDPi3T5+RBdZx2m66zDrFy5EoDUjMz0LGSM1O8RCgYFYtvMmDFj6NevH7Vr18bX15f58+dz+/Zthg0blm19U1NTTE1NdfKMjIzYuGQ2Veo0wNbBkfiYKHasXUZSYgJ1mvqRnPiIbUGLqe7bhOK29kSGPmDzyvlYWllTtf4bOrHCQu5y/fxpBk/4mpehX/8BTBg/jsre3lSv7sO634MICQmhe89eLxW3sHv06RKP+l3iUb9LPPp1aUD7zXRpW3MqOlsR8yiV6EepDGnqxt6LYYTFJWNjYUyvemVwLG7K9rP/fbvtUMwEBytTytpnnqLm4ViMRynphEQnEpOYRkhMko4vQokAQFHypz95Qe1jpGaP3pA973mmQEzee/bsSUREBF9++SUhISF4e3uzZcsWXF1dcxUnJiKU5d9NJiEuhmLFbXD1rMLo6XOxK+lESnIyIbevcXzfNhIfxVPcxp4KVX145+NJmD11DOTR3ZuxtiuBV406L9Wv1n5tiImOYv6cXwgLC6WChyez587HxSXnX18WRY8+XeJRv0s86neJR38uA03m9pXHi1uftq0IwIaT95i88QJuJSzpWNMFWwsToh+lcPZeLO8sOMa10ARtjB51yzCyhbv29fIhdQGYsPYsG0693JniMkbq9wjqp0BM3gFGjBjBiBEjXirGOx9PfmaZiakpw774Lkdx2r49lLZvD31xxRzQs3dfevbu+0piFSWPPl3iUb9LPOp3iUc/rgwFktJgxtTMv3e/pfjqlI9edfqFMX7Zc41f9lzLcftiYmKYPHkyn04IyFH9oj5GBcGjFwrxnvT8Rr6zEARBEARBEIQCgkzeBUEQBEEQBP2iMcj/lAv++usv2rdvj4uLCxqNhg0bNug2V6PJNn399X/3PzZt2jRLea9euvckREVF0a9fP+1piP369SM6OjpXbZXJuyAIgiAIglCkSUhIoHr16syaNSvb8pCQEJ20aNEiNBoNXbt21ak3ePBgnXrz5s3TKe/Tpw/BwcFs27aNbdu2ERwcTL9+/XLV1gKz510QBEEQBEEoJKhsz7ufnx9+fn7PLHdyctJ5vXHjRpo1a0b58uV18i0sLLLUfcyFCxfYtm0bhw8fpl69egAsWLAAX19fLl26hJeXV47aKivvgiAIgiAIgpBDHj58yObNmxk0aFCWspUrV+Lg4ECVKlUYO3YscXFx2rJDhw5hbW2tnbgD1K9fH2traw4ePJhjv0ZRcnIya8Fn8uRnnzQjCIIgCIJQmAkIyNlpQPrCvNHEfHdE7/6c5ORknbzsngX0NBqNhvXr19OpU6dsy2fOnMn06dO5f/8+ZmZm2vwFCxbg5uaGk5MTZ8+exd/fnwoVKmgfNDpt2jSWLFnC5cuXdeJ5enoyYMAA/P39c9QvWXkXBEEQBEEQCh2BgYHaG0Mfp8DAwJeOu2jRIvr27aszcYfM/e5vvvkm3t7e9OrVi7Vr17Jr1y5OnjypraPJZruQoijZ5j+LIrXnvfewT/I1/uq5mXcc5/Ss25fh8Rm++e0Sj/pd4lG/SzzqdxVWz4x/y+SrB+DTancy/1vI3rvC4nnSpSr0sOfd39+fMWPG6OS9aNX9RRw4cIBLly4RFBT0wro1a9bE2NiYK1euULNmTZycnHj48GGWemFhYdqnIueEIjV5FwRBEARBEIoGOdkik1sWLlxIrVq1qF69+gvrnjt3jtTUVJydnQHw9fUlJiaGo0ePUrdu5pOLjxw5QkxMDA0aNMhxG2TyLgiCIAiCIOiXXJ7Dnt/Ex8dz9epV7esbN24QHByMnZ0dZcuWBSA2Npbff/+db7/9Nsv1165dY+XKlbRp0wYHBwfOnz/Pxx9/jI+PDw0bNgSgUqVKtG7dmsGDB2uPkBwyZAjt2rXL8UkzIHveBUEQBEEQhCLO8ePH8fHxwcfHB4AxY8bg4+PDF198oa2zZs0aFEWhd+/eWa43MTFh9+7dtGrVCi8vL0aNGkXLli3ZtWsXhoaG2norV66katWqtGzZkpYtW1KtWjWWL1+eq7YWiMn7i556lVN+X7GQj4b0pUerhrzdoTlTPvuIu7dv6tRp/4ZPtul/q5dq6/iPei9L+cxJn+apTUGrV+LXsjl1fKrSq3sXTp44nqc4Rc2jT5d41O8Sj/pd4tGPSwMYG2ROPAICAmhft6xO+bz3G/No3UCdtC+wnU4dN0cr1oxrwa1FvXmw/G2Wf9yMkta6N+ZdmNNde31AQAABAQEY5XBGUdTHKK+cOH6MD0YM482mjahexYs9u3e9codeUdkTVps2bYqiKFnSkiVLtHWGDBnCo0ePsLa2znJ9mTJl2L9/PxERESQnJ3P16lV+/PFH7OzsdOrZ2dmxYsUKYmNjiY2NZcWKFdjY2OSqrQVi8v6ip17llLPBJ2nbuSdfz13GV9/NIT09nS8+Hk5SYqK2zrL1O3XSh+MnodFoaNCkhU6sVu276NQbOfbzXLdn29YtzJweyOAhwwlau4GaNWsxYuhgQu7ff6l+FnaPPl3iUb9LPOp3iUd/Lo0GFGDLli3PjLnj5F3cBq3Wps5Td2jLLEyN2PRFKxRFoc2kbbSYsBkTIwPW+r+V5f7CL1efwG3Qar755hu++eYb0jJefX/yiprHKK8kJj7Cy8uL8RO+eHFloVBTICbvfn5+TJkyhS5durxUnMnfzOZNvw64urnjVsGL0f6TCHv4gKuXzmvr2No76KTDf++jqk8dnFxK68QyNTXTqWdZzCrX7Vm+dDGdu3alS7fulHd3Z5z/BJycnfgtaPVL9bOwe/TpEo/6XeJRv0s8+nNlKJCWARcvXnxmzOS0dB5GJ2pTVHyKtsy3YklcSxRjyKwDnLsdxbnbUQyddYDaHiVoWtVFJ05cYioPoxNJSEggISEhX/qTV9Q8RnmlUeMmvP/hR7z5VstXGve1YaDJ/1RIKRCT9/wiIT4eAKviWb/+AIiKjOD4ob95q22nLGX7dm6hT/tmjHinKwtnf8ejRzn7H9djUlNSuHD+HL4NGunk+zZoyOngU7mKVZQ8+nSJR/0u8ajfJR71uRpXceLmot6c/rkrs4c1pETx/7bEmBobogDJqenavKTUdNLTM2hQUfcou487V+POkj4MHTqUxo0bv7b+vC6Pvl2FDpVtmylIFNnTZhRFYeGsb6lczQfX8hWyrbNn2ybMLSxo8EZznfymb7XB0dkFWzsHbt24ytJ5P3Pz2mUqe7rn2B8VHUV6ejr29vY6+fb2DoSHh+W+Q0XEo0+XeNTvEo/6XeJRl2vHybusP3iD22HxlHO04oteNdky2Y+Gn2wkJS2Do5fDSEhKY0q/OgSsPI5Go2FKv9oYGhrgZGuujTN783mCr0cQnZDM500NadGiBUYGPHfrjIyRILwaCuXkPTk5OcvjcNPS0nRez/1+OjevX2HGrMXPjLNzy0aavuWHyVNnhLZq/9/2HdfyFXApXZaPBvfFycE2y40JL+LpJ2rl9ilbRdWjT5d41O8Sj/pd4lGHa93BG9p/n78Tzcmr4Vyc2wO/WmXYeOQW4bFJvP3tHn4c0oARbSqToSj89vd1Tl0LJz1D0V47689z2n+fOnWHpKQkevTokaN97zJGAqCXhzQVVgrldwrZPQ73wIED2vJ5P0zn6D/7mfrDAhxKZv9Eq3OnT3Lv9k1atuv8Qp+7ZyWMjIyIi4vLcRttbWwxNDQkPDxcJz8yMgJ7e4ccxylqHn26xKN+l3jU7xKPul0PohO5HR6Pu3Nxbd7u0/fxHrkW14GrKPPuKt776S9c7Cy4Gfrsv3F3794FMk+7eRYyRoLwaiiUk3d/f39iYmJ0UuPGjVEUhbnfT+fgX3uY+sM8nFxKPTPGjs0bqOBVCbcKLz40//aNa6SlpWFubv7Cuo8xNjGhUuUqHD74j07+4YMHqV7DJ8dxippHny7xqN8lHvW7xKNul10xU0rbW/IgKjFLWURcMjGPUmji7UwJa3M2H7v9zDhOTk5A5kk3z0LGSNBB9rznmQKxbSYnT716kuweh2tkZMSc7wP5a9dWJkz7HnMLS6IiMj8pWxQrhqnpfzfsPEqI5599Oxk0ckyW2CH37rBv5xZq129EcWtb7ty8xsLZ31PeoyIODrn7lN2v/wAmjB9HZW9vqlf3Yd3vQYSEhNC9Z69cxSlqHn26xKN+l3jU7xKPfl0awNEx81tl15JWVCtnR2R8MlHxyUzo4cOGwzd5EJWIa8liTO5Ti4i4ZP44cvM/ZzMPLt6NJjw2iXpeJfl6YD1+/vMcV+7HAlDXswR1PUvy19kQYh6lULlyZVq1akV6DrbMyBjlnUcJCdy+/d8HqHt373LxwgWsra1xdnF5zpVCYaNATN6PHz9Os2bNtK/HjMmcVPfv31/n8PwXsXXD7wB8NmqwTv6H/pN506+D9vVfu7ejKPBGi9ZZYhgZGXP6xFE2rV1NYuIjSpR0onb9RvQeMJQ/V83PTbdo7deGmOgo5s/5hbCwUCp4eDJ77nxcnvONQF4obB59usSjfpd41O8Sj/5cBhowMYRhw4YBMHNAPQCW773Ch/MPUsXVlj5NK2BjYcKD6ET2nw2h33f7iE/6774wj1LWfNm3FrbFTLkVFs/Mdaf5edN/e9xTUjPo1tCNz3rUwNTIkIS4aE6ePEn9Rk1feX/yiprHKK+cO3eW9wa8o339zcxAADp07MxX06a/UpdekD3veaZATN4fP/XqZdn0V86ObWrdoSutO3TNtqyEoxPTf1740m15TM/efenZu+8ri1dUPPp0iUf9LvGo3yUe/bgyFEhKgxlTJwMw498yOuUdv9qR3WU6fLHiOF+sePYTQoNvRNDU/0/t60+r3QHI0eQdZIzySp269Th97lK+OoSCQYGYvAuCIAiCIAiFiEK8Jz2/kXdOEARBEARBEAoIsvIuCIIgCIIg6BfZ855nZOVdEARBEARBEAoIsvIuCIIgCIIg6BfZ855n5J0TBEEQBEEQhAKCRnkVZzAWACZPnvy6myAIgiAIgvBaCAgIeN1N0MHc7/t8dyRu/SjfHa8DWXkXBEEQBEEQhAJCkdrzbvfmOy+u9BJE7loGwKcT8v/T7eMHcOS3Szzqd4lH/S7xqN9VWD1/27fKVw9Ao4jtQOF77wqL50mXqpA973lG3jlBEARBEARBKCAUqZV3QRAEQRAEQQXIOe95RlbeBUEQBEEQBKGAoPrJe2BgIHXq1MHKyoqSJUvSqVMnLl26lKdYSz95h1kDW2dJ+5fPAuDIhuWs+Ow95g7ryIL3u7Hh6/E8uHZRJ0ZCTCQ7F8xk0ejezB3WkaBJI7l6/ECe+xe0eiV+LZtTx6cqvbp34eSJ43mOVZQ8+nSJR/0u8ajfJR79uDSAsQGMGTOGgIAAGrjZ6pQ3Km9LYIeKrB1Ui53v18fdwSJLjA+burG0Xw3+HFaX3wfVYnIbT8rYmGXrMzbQMHToUAICAsjpOmpRH6OC4NELGoP8T4UU1fds//79jBw5ksOHD7Nz507S0tJo2bIlCQkJuY7VY+JPDPh+lTZ1/HgaAO51GgNg41SaJn1H0PvLuXTx/4biDo788d1nJMZGa2PsWvA1UQ/u0nbUJHp/OZfytRqyfU4gYbeu5ro927ZuYeb0QAYPGU7Q2g3UrFmLEUMHE3L/fq5jFSWPPl3iUb9LPOp3iUd/Lo0GFGDLli3ZlpsZG3IuJI6Fh24/03klLIFvdl9j0MrT+P9xAY0GpneshEE2s/PBDcsSFxeXb/3JK2oeI7V7BPWj+sn7tm3bePfdd6lSpQrVq1dn8eLF3L59mxMnTuQ6lnlxGyyt7bTp5umjWJd0ppRXNQC86jejTJWaWJd0xr5UORr1GkJK4iPC797Qxnhw7QLVWnTAsbwX1iWdqdO+DyYWlnmavC9fupjOXbvSpVt3yru7M85/Ak7OTvwWtDrXsYqSR58u8ajfJR71u8SjP1eGAmkZcPHixWzLd10KZ8Wxe5y8E/tM55ZzoZy5H8fDuGSuhj1i8eG7lLQyxdHKVKdenbI21Cpjw44dO/KtP3lFzWOkdo/ekJX3PFPgehYTEwOAnZ3dS8VJT0vl0uE9VGrUCk02N02kp6Vydv9WTMwtcShTXpvv7FGFK0f/Iik+DiUjg8tH9pGRlkqpitVy5U9NSeHC+XP4Nmikk+/boCGng0/lrVNFwKNPl3jU7xKP+l3iKRiuZ2FmZECrSiUIiUkiLD5Fm29jbsxHzd2YsesqqampOYolY6R+j1AwKFCnzSiKwpgxY2jUqBHe3t4vFev6yUMkP4qnYsO3dPJvBB9hx7xAUlOSsbS2o+PYaZhbWWvLWw37jO1zp/HrqO4YGBpiZGKK3/tfYF3Shchc+KOio0hPT8fe3l4n397egfDwsJfpWqH26NMlHvW7xKN+l3gKhutp2ns7MrhBWcxNDLkdmcinGy+QlvHfA9k/edOdP8+Gcjk0AY8cxpQxUr9Hr8hpM3mmQE3e33//ff7991/+/vvv59ZLTk4mOTlZJy8tLU3n9fkD23CtWoditrq/CKUrVafnpF9Iio/h3P6tbJszje6f/4hFcRsADq9fSnJCPB3HBmJezJrrpw6y7ZepdPH/Jk9fYzy96q8oSrbfBLwshc2jT5d41O8Sj/pd4ikYrsfsvhzOyTsx2Fka093Hmc9bezB63TlS0xU6VXPC0sSQNSfu5Sm2jJH6PYK6KTDbZj744AP++OMP9u7dS+nSpZ9bNzAwEGtra5104MB/J8LEhj/k7vlgKr/ROsu1xqZm2Di64OReiRYDx2BgYMj5A9sAiAm9z5ndf9B84EeUqeyDQ9ny1O34NiXLeXBmz6Zc9cfWxhZDQ0PCw8N18iMjI7C3d8hVrKLk0adLPOp3iUf9LvEUDNfTPEpJ515MEmfux/Hl1iuUsTWnUfnM7ao1ShenomMxtgyvx7YR9Rg1ahQAJoaZJ908Cxkj9Xv0iux5zzOq75miKLz//vv873//Y8+ePbi5ub3wGn9/f2JiYnRS48aNteUX/t6BeXFrylWrm5MWkP7/+/lSUzJX8zVP/UBoDAxQnvg6MScYm5hQqXIVDh/8Ryf/8MGDVK/hk6tYRcmjT5d41O8Sj/pd4ikYrhehAYwNM//2zf7rJsPW/KtNK1euBCA1IzM9Cxkj9XuEgoHqt82MHDmSVatWsXHjRqysrHjw4AEA1tbWmJubZ3uNqakppqa6d8UbGWV2VcnI4OI/O6nY4C0MDA215anJSRz/czVuNepjYW1HUkIsZ/f8SXxkOBX+/yhJW6cyWJd0Yd+yn2jYYzBmxay4fvIQd86fot2HkyE0+7v7n0W//gOYMH4clb29qV7dh3W/BxESEkL3nr1yFaeoefTpEo/6XeJRv0s8+nVpAEdHRwCcipvi7mBBbFIaYfEpWJkaUtLKFHtLEwBK22T+HY18lErUo1ScipvS1MOeE7djiE5MxaGYCT1rupCSnsHRW1EAhMWn8OQu6yppEQAoOVjDkjFSv0dvyHafPKP6yfucOXMAaNq0qU7+4sWLeffdd3Md7875U8RFhFKpcUudfI2BAVEhd7j4zy4S42Mxs7TC0c2TLv7fYF+qHACGRka0/+grDq5dxJ8/BZCalIh1SRfeHPQx5arVJXJX7ibvrf3aEBMdxfw5vxAWFkoFD09mz52Pi0upXPerKHn06RKP+l3iUb9LPPpzGWgyt68MGzYMgOGNywGw40IYX+++hq+bHZ+86a6t/3nrzNtNlx29y/Kjd0lNz6CqsxVdqjtRzNSIqEepnLkfx4drzxGdmJbFl9/9UbtHny599klQN6qfvCs5+SifC8p61+L9Rduy5BsZm9Dm/S9eeL2NYynajJz4ytrTs3dfevbu+8riFRWPPl3iUb9LPOp3iUc/rgwFktJgxtTJAPxt30qnfMfFMHZcfPbpJBEJqUz4M3dPMY+JiWHy5Ml8OiEgR/WL+hgVBI9eKMR70vMbeecEQRAEQRAEoYCg+pV3QRAEQRAEoZAhe97zjKy8C4IgCIIgCEIBQVbeBUEQBEEQBL0iD5fKO7LyLgiCIAiCIAgFBI3yqo9zUSmTJ09+3U0QBEEQBEF4LQQE5Ow0IH1h2W1xvjsS1g7Id8frQFbeBUEQBEEQBKGAUKT2vFfrPDRf4/+7fh5Ajs+6fRken+Gb3y7xqN8lHvW7xKN+V2H1bNQ0zlcPQEflAFD43rvC4nnSpSpky3ueKVKTd0EQBEEQBOH1Izes5h3ZNiMIgiAIgiAIBQRZeRcEQRAEQRD0iqy85x1ZeRcEQRAEQRCEAoLqJ+9z5syhWrVqFC9enOLFi+Pr68vWrVvzHC8mIow1P03hywHtmdi3JT+OHcTda5e05YqisPO3xUwd0oXP+7zFvIAPeXjnhk6MIzv/YF7AhwS848f47k1ITIjLc3uCVq/Er2Vz6vhUpVf3Lpw8cTzPsYqSR58u8ajfJR71u8SjH5cGMDaAMWPGEBAQQFMvB22ZkYGGUS3cCRpal3/GN2H7Rw35smMlHIqZZIlTrXRx5vXz4Z/xTdg/rjHz3/HB1ChzylDL1YaTXzTXpoCAAAICAjAzytk9iEV9jF4FCxfMo3oVL2YGTs1XT36i0WjyPRVWVD95L126NNOnT+f48eMcP36c5s2b07FjR86dO5frWI/i45gz8X0MDQ0Z8NlMPvp+KW37j8Dcspi2zv6Nq/n7z9/oOGg070+fh5WNHb9+9THJiY+0dVJTkvGqUZdmnd9+qb5t27qFmdMDGTxkOEFrN1CzZi1GDB1MyP37LxW3sHv06RKP+l3iUb9LPPpzaTSgAFu2bMlSZmZsQEVnK349cJM+C44x9rczuNpb8EOvajr1qpUuzs99anDoeiT9Fh7n7V+PE3TsLhn//1iY03dieOvbv7Xpm2++4eTJk2Qome5X2Z+8ouYxelnOnvmXtb8H4enplS/xBfWj+sl7+/btadOmDZ6ennh6ejJ16lSKFSvG4cOHcx1r/4ZV2NiXoPtIf8p4VMKupDMVqtbC3qkUkLnq/s/m32nWpR/e9d7AqWx5erzvT2pyMsF/79LGadS2O00796WMZ+WX6tvypYvp3LUrXbp1p7y7O+P8J+Dk7MRvQatfKm5h9+jTJR71u8Sjfpd49OfKUCAtAy5evJilLD45nRErgtl5PpRbEY84cy+WGdsuU9mlOE7FTbX1Pm7pwZqjd1jyzy2uhyVwJzKR3RfCSE3PnJqnZShEJKRoU2JiIp6enqRnvPr+5BU1j9HL8CghAf9PPyFg8hSKW1u/8vj6RFbe847qJ+9Pkp6ezpo1a0hISMDX1zfX1184/g+l3Cuy8tsv+GpQR378ZBBHd23SlkeGhhAXHYlH9draPCNjE9wqV+fWpbOvpA+PSU1J4cL5c/g2aKST79ugIaeDT4lHBS7xqN8lHvW7xKNuVzFTIzIUhbikNABsLYypWtqayIRUFg+oxc4xjVjQ34caZZ49UfTy8sLCwoL0Fyy7yxi9PNOmfMkbbzShvm+DVx5bKDgUiMn7mTNnKFasGKampgwbNoz169dTuXLuV70jQ0M4smMj9s6lGfj519Rv2ZE/Fv3Eif3bAIiPjgTAytpO5zora1vi/r/sVREVHUV6ejr29vY6+fb2DoSHh4lHBS7xqN8lHvW7xKNel4mhAaNauLPtzEMSUtIBKG1rDsDQJm6sP3mf91cFczEkjrn9fChjZ55tHB8fH65du/ZCn4zRy7F1y2YuXDjPqI8+fqVxXxsaPaRCSoE4KtLLy4vg4GCio6NZt24d/fv3Z//+/c+cwCcnJ5OcnKyTl5aWhpKRQSl3L1r3GQJAKTdPHt65wZHtG6nVpPV/lZ/6qkVBQZNPPwVPf62jKEq+fNVT2Dz6dIlH/S7xqN8lHnW5jAw0BHatgkajIXDLf4c2PA77v5P3+ON0CACXHlylrpsdHWs4M2vPdZ04Ja1McXd3Z+3atZRx88iRW8Yo9zwICWHm9KnMnb8IU1PTF18gFGoKxOTdxMSEChUqAFC7dm2OHTvGjz/+yLx587KtHxgYyOTJuo8CbtKkCVa29pQsXU4nv2QpV84e/guAYjaZK+5x0REUt/3vU3R8TDTFbGxfVXcAsLWxxdDQkPDwcJ38yMgI7O0dnnGVePTpEo/6XeJRv0s86nMZGWiY3s2bUjZmDF1+SrvqDhAenwLA9bAEnWtuhCfgZG2WJVaHGs4kJiZy6dKlLGVPI2OUd86fP0dkRAS9e3TR5qWnp3Pi+DHWrF7JsVNnMDQ0fGU+fVCY96TnNwVi28zTKIqSZWX9Sfz9/YmJidFJjRs3xtXLm/D7t3XqhoXcxaaEIwB2JZ2xsrHj6r//HfGUlprKjfOncfXyfqV9MDYxoVLlKhw++I9O/uGDB6lew0c8KnCJR/0u8ajfJR51uR5P3MvamTNsRTAxiWk65fejkwiNTcbV3kInv6ydBQ9ikrLE61DDmdOnT5OR8eK7VWWM8k69+vVZu2ETQes2aFOVKt60adeeoHUbCtzEXXg5VL/y/tlnn+Hn50eZMmWIi4tjzZo17Nu3j23btj3zGlNT0yxfKxkZGdGoXXfmfD6Svf9bTlXfZty9eoGjuzbRZehYIPNTYMO23dn7v5XYO5XGwbk0e/+3AmNTU2o0elMbKy4qgrjoSCIe3APgwe3rmJpZkJycnKuvs/r1H8CE8eOo7O1N9eo+rPs9iJCQELr37JWbt6jIefTpEo/6XeJRv0s8+nVpAEfHzEWpUjbmeDoWIzYxlbC4FGZ296aikxUfrvkXQ40Ge8vMM95jElNJy8i843TZoVsMbVKeyw/jufwgnnbVnSjnYMG4tboHN9R1s6W0rTkbT+X8xkwZo7xhaVkMDw9PnTxzCwtsrG2y5BcUZOU976h+8v7w4UP69etHSEgI1tbWVKtWjW3btvHWW2/lOlaZCpXo98kUtq2cz+61y7At6UT7d9/Hp/F/sZp07E1qSjIbf/2exIR4ylSoxKDPv8HU/L9ViMM7/2D370u0r+d9MQqA+vXrU758+Ry3p7VfG2Kio5g/5xfCwkKp4OHJ7LnzcXEpleu+FSWPPl3iUb9LPOp3iUd/LgMNmBjCsGHDAPi4VeY+9D+CQ5i3/wZNvUoAEDS0rs51g5ee5MStaABWHbmLiZEhH7f0wNrcmMsP4xmxIpi7UYk613Ss4UzwnegsW0ZeZX/yiprHSBBeFtVP3hcuXPhK41Wq1YBKtZ59xJJGo+GtHgN4q8eAZ9Z5Vvm/67Pfg/88evbuS8/efXN9XVH36NMlHvW7xKN+l3j048pQICkNZkzNvO9ro6axTnnNL/fkKM6Sf26x5J9bz60zYf15ADrmKOJ/FPUxelUsXLJcr75Xjay8550CueddEARBEARBEIoiMnkXBEEQBEEQ9IranrD6119/0b59e1xcXNBoNGzYsEGn/N13380Sv379+jp1kpOT+eCDD3BwcMDS0pIOHTpw9+5dnTpRUVH069cPa2trrK2t6devH9HR0blqq0zeBUEQBEEQhCJNQkIC1atXZ9asWc+s07p1a0JCQrRpy5YtOuWjR49m/fr1rFmzhr///pv4+HjatWtHevp/x7H26dOH4OBgtm3bxrZt2wgODqZfv365aqvq97wLgiAIgiAIhQyVbXn38/PDz8/vuXVMTU1xcnLKtiwmJoaFCxeyfPly3nwz84TCFStWUKZMGXbt2kWrVq24cOEC27Zt4/Dhw9SrVw+ABQsW4Ovry6VLl/Dy8spRW2XlXRAEQRAEQRBewL59+yhZsiSenp4MHjyY0NBQbdmJEydITU2lZcuW2jwXFxe8vb05ePAgAIcOHcLa2lo7cYfMkwqtra21dXKCRlEU5RX0R/U8/cRVQRAEQRCEokJAQMDrboIODu+uyXfHvXmdszzUM7tnAT2NRqNh/fr1dOrUSZsXFBREsWLFcHV15caNG0ycOJG0tDROnDiBqakpq1atYsCAAVl8LVu2xM3NjXnz5jFt2jSWLFnC5cuXdep4enoyYMAA/P39c9QvWXkXBEEQBEEQCh2BgYHaG0Mfp8DAwDzF6tmzJ23btsXb25v27duzdetWLl++zObNm597naIoOjfPZncj7dN1XkSR2vNeu+vwfI1/fN0cAD6dkP+fbh+f4ZvfLvGo3yUe9bvEo35XYfX8nvrs55q8KrobZ37dX9jeu8LiedKlJvRxzru/vz9jxozRyXvRqntOcXZ2xtXVlStXrgDg5ORESkoKUVFR2NraauuFhobSoEEDbZ2HDx9miRUWFqZ9KnJOkJV3QRAEQRAEodBhampK8eLFddKrmrxHRERw584dnJ2dAahVqxbGxsbs3LlTWyckJISzZ89qJ+++vr7ExMRw9OhRbZ0jR44QExOjrZMTitTKuyAIgiAIgvD6UdsTVuPj47l69ar29Y0bNwgODsbOzg47OzsmTZpE165dcXZ25ubNm3z22Wc4ODjQuXNnAKytrRk0aBAff/wx9vb22NnZMXbsWKpWrao9faZSpUq0bt2awYMHM2/ePACGDBlCu3btcnzSDMjkXRAEQRAEQSjiHD9+nGbNmmlfP95u079/f+bMmcOZM2dYtmwZ0dHRODs706xZM4KCgrCystJe8/3332NkZESPHj1ITEykRYsWLFmyBENDQ22dlStXMmrUKO2pNB06dHju2fLZUeC2zQQGBqLRaBg9enSur90WtIgxXRvrpIBBHXXqPLx7k4WB4/msX2v8+7bkh/FDiQrLuj9JURTmTxnLmK6NOXPkr7x2h6DVK/Fr2Zw6PlXp1b0LJ08cz3OsouTRp0s86neJR/0u8ejHpQGMDTInHgEBATSvVEKnfETz8vzxYQOOftGcfyY0ZcGAmlQtXVynjrGhBv+2Xhzwb8LRL5rzc98aOBbX3Wrgam/BT32rc8C/CePHj2fAgAEY5HAhtaiPUUHw6AWNHlIuaNq0KYqiZElLlizB3Nyc7du3ExoaSkpKCrdu3WLJkiWUKVNGJ4aZmRk///wzERERPHr0iE2bNmWpY2dnx4oVK4iNjSU2NpYVK1ZgY2OTq7YWqMn7sWPHmD9/PtWqVctzDKcybkz6dYM2ffLdEm1Z+IN7/DxhJCVLlWXE5J8Y++0SWnbvj5GJSZY4f/35Gy/7hIFtW7cwc3ogg4cMJ2jtBmrWrMWIoYMJuX//peIWdo8+XeJRv0s86neJR38ujQYUyPLkx8fcDH/EtD8v0uXnQ7yz4Bj3o5KY/25NbC2MtXXGt/GiReWSfPLbGd5ZcAwLU0Nm9/PRmZz/0s8HIwMNgxadYP78+Tx8+BDjHMwoZIzU7xHUT4GZvMfHx9O3b18WLFigcxdvbjEwNKS4rb02FbP+L9aWVfOpVLM+7d8ZQenyntg7uVC5VgOsrHV9925eZf+m3+g1cnye2wGwfOliOnftSpdu3Snv7s44/wk4OTvxW9Dql4pb2D36dIlH/S7xqN8lHv25MhRIy4CLFy9mW77l3wccvhbJ3ahEroUmMHPrJazMjPF0yvzqv5ipEV1qleKbrZc5fC2SiyFxjP/9LB6Oxajvbg+AjYUxrg4W/PrXTS4/jCcyMpJdu3ah0fDC1XcZI/V79IVGo8n3VFgpMJP3kSNH0rZtW+2m/7wSHnKXSe91YsrwHiz7LoCIB5mfWDMyMrhw4hAlXMow78sxfDGgPT+MH5JlS0xKchIrvp9El/dGU9zWPs/tSE1J4cL5c/g2aKST79ugIaeDT+U5bmH36NMlHvW7xKN+l3jU6zIy1NC9dmliE1O59CAOgMqlrDA2MuDg1QhtvbC4ZK4+jMenrDUA0Y9SuRYaTwcfZ8yNDdBoNNSqVQtFyfzw8Lr6o2+PPl367JOgfgrEDatr1qzh5MmTHDt27KXiuHpUpvcHEyjhUob46Ch2rlvKTxOGM+6HZaSnpZGclMie9Svx6/0e7foN5+KpIyz5+nOGT/6RClV8ANiw+GfKeXnjXbfxS7UlKjqK9PR07O11PwDY2zsQHh72UrELs0efLvGo3yUe9bvEoz5XEy8Hvu5RFTNjQ8Likxmy5CTRj1IBcChmSkpaBrFJaTrXRCSkYG/13773wYtP8vPbNTgysTnQjPj4eFLSX09/XpdHny599klfFOaV8fxG9ZP3O3fu8OGHH7Jjxw7MzMxydE1ycnKWx9OmpaVRqWb9/zJcwdWrCtNG9uLY3q34NMpc0a9SpxFN2vcEoJSbBzcvneXQ9o1UqOLD2WN/c/XMST7+ZuGr6RxZf3hz+5StourRp0s86neJR/0u8ajHdfR6JF1nH8bWwoRudUrxTa9q9Jl7hMiE1Ge3ATI30/8/n3eoSER8Cv1/PUYj5RQ1a9akdu06JL9gAg8yRgXBI6gb1W+bOXHiBKGhodSqVQsjIyOMjIzYv38/P/30E0ZGRqSnZ/0/RXaPwz1w4ECWeqZm5jiXLU94yF0srawxMDTEqUw5nTolS7sSFZ552syVMyeJeHiPCe+0YWz3pozt3hSAJd9MZPYXH+SqX7Y2thgaGhIeHq6THxkZgb29Q65iFSWPPl3iUb9LPOp3iUd9rsTUDO5EJvLv3Ri+WH+e9HSFLrVKARAen4yJkQHFzXTX9uwsTYiIz1wUq1fejiZeJfjkt385dTuGBw8esGXLFhTA8DnzSBkj9Xv0iex5zzuqn7y3aNGCM2fOEBwcrE21a9emb9++BAcH65yd+Rh/f39iYmJ0UuPGWbe5pKWm8PDuLaxs7TEyNqZshUqE3rutUyfs/h1sSzhltqVzX8Z+t4SPv12kTQAd3/2AXiP9c9UvYxMTKlWuwuGD/+jkHz54kOo1fHIVqyh59OkSj/pd4lG/Szzqd2k0YGKUOR04fy+O1LQMfCv8tz3DoZgJFRyLcep2DABm/3+szPP2t2eHjJH6PULBQPXbZqysrPD29tbJs7S0xN7ePkv+Y0xNTbM8/tbIyIg/ls6mcu0G2Do4Eh8Txc61y0hKTKBOUz8AmnbszfLvAihfuToVvGty8dQRzh8/yIgvfwLQnlDzNLYOJbF3dOFGLvvWr/8AJowfR2Vvb6pX92Hd70GEhITQvWevXEYqWh59usSjfpd41O8Sj35dGsDR0RGAUrbmeDkVIyYxjZhHKQxpWp69F8IIi0/GxtyYXvXK4FjclO1nM79hjk9O438n7vGJnyfRj1KJSUxlbGsPrjyM5/C1zJtYT9+JITYxlWldqzB373XsFDtq1aqFhhdP6GWM1O/RF4V5ZTy/Uf3k/VUSHRHKiu8nkxAXg2VxG1w9qvBh4FzsSmaurFer9wbdhoxl9/9WsH7Rj5R0Kcu7n3xF+Up5P1f+ebT2a0NMdBTz5/xCWFgoFTw8mT13Pi4upcSjEpd41O8Sj/pd4tGfy0ADJoYwbNgwAD5tk/nI9Q0n7/PlHxdwc7CgQ59q2FqYEP0olbP3Yuj/63GuhSZoY8zYepm0DIVve1XF1MiQI9cjeX/FKe3EPPpRKsOWnmLUW+4sHFgLc8OahIaGkpqhsy3+lfQnr6h5jNTuEdRPgZy879u3L0/XvTNm8gvr1GvRlnot2uY45nfrsu6lzw09e/elZ+++LxWjKHr06RKP+l3iUb9LPPpxZSiQlAYzpmb+vfs9tYFO+ejV/74wRkpaBoGbLxG4+dIz65y7H8vQpZlHFHY3PgjApxMCctTGoj5GBcGjF2ThPc8UyMm7IAiCIAiCUHCRbTN5R/U3rAqCIAiCIAiCkImsvAuCIAiCIAh6RVbe846svAuCIAiCIAhCAUFW3gVBEARBEAS9IivveUdW3gVBEARBEAShgKBRFCWXz0grmEye/OJjIgVBEARBEAojAQE5O8pTX5R5f2O+O+7M6pjvjteBrLwLgiAIgiAIQgGhSO159+s3Ol/jb13+A5DzB1W8DI8fwJHfLvGo3yUe9bvEo35XYfXMf5A/Twh/kiFOmQ9+KmzvXWHxPOlSE7LnPe/IyrsgCIIgCIIgFBCK1Mq7IAiCIAiC8PqRlfe8IyvvgiAIgiAIglBAUP3kfdKkSWg0Gp3k5OT0SmL/EbSEfn51WTH3O23e/1bMZ9zg7gzq9AZDu7dguv9Irl48q3Pdop8C+XhAZwZ2bMyIni35fvJY7t+5mac2BK1eiV/L5tTxqUqv7l04eeL4y3SpyHj06RKP+l3iUb9LPPpxaQBjAxgzZgwBAQG0qu78zLoz+tTg3pzOvNfcPUv+P1++xdUfO/DvzDYsGlYfd8di2nJfDwfuzemsTQEBAQQEBGBmlOl/lf15GdQ6RnnlxPFjfDBiGG82bUT1Kl7s2b3rlTv0ydNzu/xIhRXVT94BqlSpQkhIiDadOXPmpWNev3SevVvXU8atgk6+U6myvDPiEwLnrGbiN/NxcHRm5oQPiI2O0tYpV6Eig8dMZMb8IMZN/QlFUZg54QMyMjJy1YZtW7cwc3ogg4cMJ2jtBmrWrMWIoYMJuX//pftXmD36dIlH/S7xqN8lHv25NBpQgC1btjw3bqvqzviUsyUkOjFL2b+3oxmz7CRNJ++iz8//oNHA6lENMfj/udDx6xHU+HSLNn3zzTecPHmSDCXT/Sr7k1fUPEZ5JTHxEV5eXoyf8MUrjSsUPArE5N3IyAgnJydtKlGixEvFS0p8xJyvJzLowwlYFiuuU9agWWu8fepS0rkUpV3d6Tt4NImPErhz44q2TvM2nalYtSYlHF0oV6Ei3foPIyLsIQkJCblqx/Kli+nctStdunWnvLs74/wn4OTsxG9Bq1+qf4Xdo0+XeNTvEo/6XeLRnytDgbQMuHjx4jNjOlmbMbVndd5ffJy09KyLTiv/vsmRqxHcjXzE2TsxzPzjPKXsLChjbwlAarpCWGyyNiUmJuLp6Uk2oV66P3lFzWOUVxo1bsL7H37Em2+1fKVxXxey8p53CsTk/cqVK7i4uODm5kavXr24fv36S8VbOnsm1es0xNun7nPrpaWmsmfrBiwsi1G2vGe2dZKSEvlrxyZKOLlgYWGR4zakpqRw4fw5fBs00sn3bdCQ08GnchynqHn06RKP+l3iUb9LPOpyaTTw04DazNl5hcshcS+sb25iSE9fV26FJ3A/6lG2dby8vLCwsCD9BcvuMkaC8GpQ/Wkz9erVY9myZXh6evLw4UOmTJlCgwYNOHfuHPb29rmOd2jfDm5eu8TkH5c8s86pIweYPf1zUpKTsLFz4NOps7CyttGps+vPtaxZ+DPJSYm4lCnHp1NncXL32hy3Iyo6ivT09Cx9sLd3IDw8LDddKlIefbrEo36XeNTvEo+6XCNbepKWnsHCvdeeW6//G25M6OyNpZkRV0Li6P3jP6Q+Y3bu4+PDtWvXKOPm8dyYMkaCDoV3YTzfUf3Ku5+fH127dqVq1aq8+eabbN68GYClS5c+85rk5GRiY2N1UlpaGhFhD1kx7zuGfTIZExPTZ15fqXptps5ewRff/krVWvX5OdCfmOhInToNmrVmyqzlTJg5F0eXMswK/Iz09PRc9+/pr3UURcmXr3oKm0efLvGo3yUe9bvE8/pdVcvaMKiZOx8tO/nCuv87eodW0/bQ5du/uBEWz9zBdTA1yjplcLYxw93dnVOncr7KLGMkCC+H6lfen8bS0pKqVaty5cqVZ9YJDAxk8mTdp4k1adIEZ6/axEZH8sUH/bX5GRnpXDp7ip2bfmfxH39jYGiImZk5Zi5lcHQpQ4VKVRk7qCv7t/9Bh57vaq+zsCyGhWUxnEqVpULFqgzt3oI7Je0oV65cjvpha2OLoaEh4eHhOvmRkRHY2zvkKEZR9OjTJR71u8Sjfpd41OOqV8EeBytTjk5tpc0zMjTgi65Vea+5O/U/36HNj0tKIy4pjRthCZy8Ecn5b9vRuoYLG4/f1YnZ09eVxMRELl26pPf+vG6Pvl2FDflwk3dUv/L+NMnJyVy4cAFn52cff+Xv709MTIxOaty4MVVq1GHanNVMmb1Cm9w8KmWuos9egYGhYbbxFEUhLTXlBS1TcnXajLGJCZUqV+HwwX908g8fPEj1Gj45jlPUPPp0iUf9LvGo3yUe9bjWHbnDm1N303LaHm0KiU5kzs4r9P354HOv1WjIduW9RwNXTp8+naO/fzJGgvBqUP3K+9ixY2nfvj1ly5YlNDSUKVOmEBsbS//+/Z95jampKaamuttijIyMMLewpEw53fNsTc3MKWZlTZly7iQlJfLHmsXUrNcYGzsH4uNi2PXnWqLCQ6nbuAUAoSH3OPzXTqrWrIeVtS1REaH8+fsyTExMcXFxyVXf+vUfwITx46js7U316j6s+z2IkJAQuvfslas4Rc2jT5d41O8Sj/pd4tGvSwM4OjoCUNbegiqlrYlKSOF+VCJRCboLUWnpGYTFJnHtYXxmfQcLOtQqzf4LoUTEJeNsY86Ilh4kpWSw+9wDnWsbeZXA1cGSP4NyvmVGxijvPEpI4Pbt29rX9+7e5eKFC1hbW+Ocy/mHGpCV97yj+sn73bt36d27N+Hh4ZQoUYL69etz+PBhXF1dX7nLwMCAkDs3+WnXZuJioilW3JrynpX5/Ov5lHbNnPQbm5hw6Www2zesISE+FmsbO7y8ffjiu4UE712fK19rvzbEREcxf84vhIWFUsHDk9lz5+PiUuqV9quwefTpEo/6XeJRv0s8+nMZaMDEEIYNGwbApO7VAPjt0K0c7XVPTs2gbgV73mvujrWFCeGxSRy+GkHHb/YTEac78e/V0JVj1yKybBl5lf3JK2oeo7xy7txZ3hvwjvb1NzMDAejQsTNfTZv+Sl2CulH95H3NmjX5Gn/CzLnaf5uYmPLhxJnPrW9rX4JPvvoh27LgPPh79u5Lz95983Bl0fbo0yUe9bvEo36XePTjylAgKQ1mTM2872v+g2rPrf/kPneAhzFJvDP7UI5c7y/KfIrokFw+9Lyoj1FeqVO3HqfPvfjegoKCLLznnQK3510QBEEQBEEQiiqqX3kXBEEQBEEQChey5z3vyMq7IAiCIAiCIBQQZOVdEARBEARB0Cuy8J53ZOVdEARBEARBEAoIGkVRlNfdCH3w9BNXBUEQBEEQigoBAQGvuwk6eH26Pd8dl2a0enGlAoisvAuCIAiCIAhCAaFI7Xl3azswX+Pf2LwIgE8n5P+n28dn+Oa3Szzqd4lH/S7xqN9VWD3bzZvlqwegVeJeoPC9d4XF86RLTcie97wjK++CIAiCIAiCUEAoUivvgiAIgiAIwuvHwECW3vOKrLwLgiAIgiAIQgFBVt4FQRAEQRAEvSJ73vNOgVh5v3fvHm+//Tb29vZYWFhQo0YNTpw4kadYsZHhbPwlkO+GdmbGgLYs8B9KyI3LOnXC793it28n8s17Hfh6UHsWf/E+MeEPteXx0ZFs/GU6P4zozsyB7fh1wjAuHPkrT+0JWr0Sv5bNqeNTlV7du3DyxPE8xSlqHn26xKN+l3jU7xKPflwawNgAxowZQ0BAAG9UsNeWGRpoGNHEjeUDarF7dEM2jqjHxDZeOBQz0YlhbKjhoxbubHnfl92jGzKjSxVKPFXnybpDhw4lICCAnM7FivoYFQSPoG5UP3mPioqiYcOGGBsbs3XrVs6fP8+3336LjY1NrmMlJsSxbPKHGBga0XNcIENnLuTNvkMxsyj2n+/hfZZ9ORp75zK8/fm3vBc4j0ad38bI+L//cf0xZzoRIXfo/vFXDJ4+n4q1G7H+5ylERkbmqj3btm5h5vRABg8ZTtDaDdSsWYsRQwcTcv9+rvtWlDz6dIlH/S7xqN8lHv25NBpQgC1btmQpMzMywNOxGIsP3mLAspN8tv48ZezMmdGlik69D5u708TTgS82XWD4qmAsjA35uqs32W1RHtmkPHFxcfnWn7yi5jFSu0dfaDSafE+FFdVP3mfMmEGZMmVYvHgxdevWpVy5crRo0QJ3d/dcxzq0aQ3F7UvQfugnlHKviE0JJ9y8a2Lr6KKts++3RbhXr0eLPkNwKueBbUkXPHzqY2ltq61z98p56rTsRCn3itiWdKFR57cxs7QkKioqV+1ZvnQxnbt2pUu37pR3d2ec/wScnJ34LWh1rvtWlDz6dIlH/S7xqN8lHv25MhRIy4CLFy9mKUtISWf0b2fYcymc25GJnAuJ4/tdV6nkZIWjlSkAliaGtK/mxM97r3P8VjSXQxOYvPki7iUsqeNqqxOvvpstdd1s2bFjR771J6+oeYzU7tEXGk3+p8KK6ifvf/zxB7Vr16Z79+6ULFkSHx8fFixYkKdYV04cwtnNk3U/fsn3w7vx62dDObVns7ZcycjgavAR7JxLs3r6p3w/vBuLv3ifS8f/0YlTxsub84f3kRgfi5KRwblDe0lLTaVkyZI5bktqSgoXzp/Dt0EjnXzfBg05HXwqT/0rCh59usSjfpd41O8Sj7pdlqZGZCgKcclpAFR0ssLY0ICjN/5bjAqPT+F6eALepYpr82wtjBnf2pMvN18kNTU1Ry4ZI/V7hIKB6ifv169fZ86cOXh4eLB9+3aGDRvGqFGjWLZsWa5jRYWFcGL3JuycStH700BqtmjPjmWz+fdA5qpBQmw0KUmJHNq0hvLV69D70+l41W7I2h8mcevCaW2czh98TkZGOt8N7cL0d/3YuvB7un00GSsrq5y3JTqK9PR07O3tdfLt7R0IDw/Ldd+KikefLvGo3yUe9bvEo16XiaGG4U3c2Hk+lEcp6QDYWRqTkpahncxr25KQir3lf9tHP2/jxYbgEC4+iM+xT8ZI/R59Ittm8o7qT5vJyMigdu3aTJs2DQAfHx/OnTvHnDlzeOedd7K9Jjk5meTkZJ28tLQ0lAwF5/KeNOs5CACnch6E3b3JyV2bqNa4JYqSAYBnTV/q+XX7/zoVuHvlPCd3/4lrpeoA7P99MUkJ8fTxn4mFlTWXjv/D/376khZNm+R6L/7TP1yKouTLD1xh8+jTJR71u8Sjfpd41OUyNNDwZYdKGGjg651Xc9AIUFAA6F7TBUsTQ5Ydvp0nt4yR+j2CulH95N3Z2ZnKlSvr5FWqVIl169Y985rAwEAmT9Z9FHCTJk0oZmOHQylXnXyHUmW5eOwAABZW1hgYGmat41KWO5fOApk3tB7fsZEhM36lROlyADi6unPn0hkuX75M3bp1c9QvWxtbDA0NCQ8P18mPjIzA3t4hRzGKokefLvGo3yUe9bvEoz6XoYGGKR0q4Wxtxgdr/tWuugNEJqRiYmSAlamRzuq7rYUxZ+7FAlDL1YYqLsXZ93FjAAzI3MphYpi55z41Q7/9eV0efbr02Sd9IR868o7qt800bNiQS5cu6eRdvnwZV1fXZ1wB/v7+xMTE6KTGjRtTxrMKkSF3dOpGhtzF2sERAEMjY5zLexERclenTsSDu1g7ZO5nT01OArL+0BkYGKAoSo77ZWxiQqXKVTh8UHc//eGDB6lewyfHcYqaR58u8ajfJR71u8SjLtfjiXsZW3M+DDpDbJLu9piLD+JITc+gTjkbbZ69pQnlHSw5+/+T9+93XaP/khO8+/9p5cqVQOak/VkT9/zqz+v06NOlzz4J6kf1K+8fffQRDRo0YNq0afTo0YOjR48yf/585s+f/8xrTE1NMTU11ckzMjKirl9Xlk7+kH82rqJSvSbcv3aRU3u30GbQR9p69dv2YP3PUyhbsSqulWtw7d9jXDl5iH6ffwuAvUtZbB1LsWXhD7ToOxSLYsW5dPwfrp89SZM33shV3/r1H8CE8eOo7O1N9eo+rPs9iJCQELr37JWrOEXNo0+XeNTvEo/6XeLRr0sDODpmLko525jhUdKS2MQ0wuOTmdaxEp6OVnyy7iwGBpl73AFiE9NIy1BISEln078P+KCZOzGJacQlpfJ+s/JcC0vg2K3Mm1gfxiXDE6dDRphEAJCT9SsZI/V79IUsvOcd1U/e69Spw/r16/H39+fLL7/Ezc2NH374gb59++Y6lot7RbqNnszeoF85sH45NiWceevt4Xg3bKGtU7FOI/wGfsjBP9awY9ls7JzL0PXDAMp4VQXA0MiIXuOmsmfNr/z+zeekJCdh6+hCh6HjKBZ751nqbGnt14aY6Cjmz/mFsLBQKnh4MnvufFxcSuW6b0XJo0+XeNTvEo/6XeLRn8tAk7l9ZdiwYUDmme0Am888YOE/t2jskbnFYtmAWjrXjVx9mlN3YgD4ac810jMUpnSshKmRAcdvRTNlyzkycv7l8ivrj9o9+nTps0+CulH95B2gXbt2tGvX7pXE8qhZH4+a9Z9bp0ZTP2o09XtmuZ1TabqNnpQl/8bmRbluT8/efenZO/cfRIq6R58u8ajfJR71u8SjH1eGAklpMGNq5n1f282b6ZQ3mPnip4GnpCt8v/sa3+++liNnTEwMkydP5tMJATmqX9THqCB49IHsec87qt/zLgiCIAiCIAhCJjJ5FwRBEARBEPSK2p6w+tdff9G+fXtcXFzQaDRs2LBBW5aamsqnn35K1apVsbS0xMXFhXfeeYf79+/rxGjatGmWs+Z79dK9JyEqKop+/fphbW2NtbU1/fr1Izo6Oldtlcm7IAiCIAiCUKRJSEigevXqzJo1K0vZo0ePOHnyJBMnTuTkyZP873//4/Lly3To0CFL3cGDBxMSEqJN8+bN0ynv06cPwcHBbNu2jW3bthEcHEy/fv1y1dYCseddEARBEARBKDyobc+7n58ffn7Z3+9obW3Nzp07dfJ+/vln6taty+3btylbtqw238LCAicnp2zjXLhwgW3btnH48GHq1asHwIIFC/D19eXSpUt4eXnlqK2y8i4IgiAIgiAIuSAmJgaNRoONjY1O/sqVK3FwcKBKlSqMHTuWuLj/zlU9dOgQ1tbW2ok7QP369bG2tubgwYM5dmuU3DxZqADz9BNXBUEQBEEQigoBATk7DUhf1J6yN98d/3zSgOTkZJ287J4F9DQajYb169fTqVOnbMuTkpJo1KgRFStWZMWKFdr8BQsW4ObmhpOTE2fPnsXf358KFSpoV+2nTZvGkiVLuHz5sk48T09PBgwYgL+/f476JSvvgiAIgiAIQqEjMDBQe2Po4xQYGPhSMVNTU+nVqxcZGRn88ssvOmWDBw/mzTffxNvbm169erF27Vp27drFyZMntXWy2y6kKEquthEVqT3v7u0G5Wv8a38uBMjxWbcvw+MzfPPbJR71u8Sjfpd41O8qrJ6nz3nPD1olZq6gFrb3rrB4nnSpCX3seff392fMmDE6eS9adX8eqamp9OjRgxs3brBnzx6KFy/+3Po1a9bE2NiYK1euULNmTZycnHj48GGWemFhYdqnIueEIjV5FwRBEARBEIoGOdkik1MeT9yvXLnC3r17sbe3f+E1586dIzU1FWdnZwB8fX2JiYnh6NGj1K1bF4AjR44QExNDgwYNctwWmbwLgiAIgiAIekVlh80QHx/P1atXta9v3LhBcHAwdnZ2uLi40K1bN06ePMmff/5Jeno6Dx48AMDOzg4TExOuXbvGypUradOmDQ4ODpw/f56PP/4YHx8fGjZsCEClSpVo3bo1gwcP1h4hOWTIENq1a5fjk2ZAJu+CIAiCIAhCEef48eM0a/bfNrPH22369+/PpEmT+OOPPwCoUaOGznV79+6ladOmmJiYsHv3bn788Ufi4+MpU6YMbdu2JSAgAENDQ239lStXMmrUKFq2bAlAhw4dsj1b/nkUiMl7uXLluHXrVpb8ESNGMHv27FzFio0MY/fqBVw7fZTUlBTsnUvTfvBYnMt7auuE3bvF7tULuH3hXxQlgxKly9F11ESsHTL3I23+9TtunD1JXFQEJmbmlPasQoteg/PUt6DVK1myeCHhYWG4V/Bg3PjPqFmrdp5iFSWPPl3iUb9LPOp3iUc/Lg1gZJA58bCysiLxf+f462oEAIYGGoY2LodveTtcrM2IT0nj+M1o5vx1g/D4FG0MY0MN7zctz1uVSmJqZMDx29F8s+MKYU/U8XQsxogmblRyssIwozYXLlzIl/68DGodo4Lg0QdqO+e9adOmPO8AxhcdzlimTBn279//Qo+dnZ3OCTV5oUCcNnPs2DGdp1U9PnKne/fuuYqTGB/HkkkfYmhoRO9x0xn+9SLe6jsMU8ti2jqRD++zdPKHOLiUod/EbxkSOJ/Gnd/GyNhEW8fZzZP2Q8cx/JvF9Bk/HUVRWDn9UzIyMnLVnm1btzBzeiCDhwwnaO0GatasxYihgwl56nG7L0th8+jTJR71u8Sjfpd49OfSaEABtmzZkqXMzMgAT8diLD54iwHLTvLZ+vOUsTNnRpcqOvU+bO5OE08Hvth0geGrgrEwNuTrrt4Y/P9cy6GYCT/1qMrdqEQGrzjFypUrKVGiBMY5mFHIGKnfI6ifAjF5L1GiBE5OTtr0559/4u7uTpMmTXIV5+CmNRS3L0GHYeMoVaEiNiWccPOuiZ2ji7bO3qCFVKhRjzf7DMW5nAe2ji54+NTH0tpWW6dmi3a4VqqGTQknnN08adZjALERoSQkJOSqPcuXLqZz16506dad8u7ujPOfgJOzE78Frc5VnKLm0adLPOp3iUf9LvHoz5WhQFoGXLx4MUtZQko6o387w55L4dyOTORcSBzf77pKJScrHK0yb+qzNDGkfTUnft57neO3orkcmsDkzRdxL2FJHdfMv4MN3e1Iy1D4dudVbkcmcv/+fbZs2YKhQebK/6vsT15R8xip3aMvNJr8T4WVAjF5f5KUlBRWrFjBwIEDc/2Vy+WTB3Ep78XaHybz7bCuzPcfysk9m7XlSkYGV4OPYOdUmpWBn/LtsK4snDiSi8f+fnZ7khI5vX87NiWcsbCwyHFbUlNSuHD+HL4NGunk+zZoyOngU7nqV1Hy6NMlHvW7xKN+l3jU7bI0NSJDUYhLTgOgopMVxoYGHL0Rpa0THp/C9fAEvEtlHotnbGhAarrCk5sI0tIyrzd4zp9lGSP1e4SCQYGbvG/YsIHo6GjefffdXF8bFRrC8V1/YOdUij7jp1PrzXZsXzqL03/tACAhNpqUpEQOblqDe/U69B0/g4p1GvH7D5O4deG0TqzjOzcyfUBbZgxsx9XTx+j72UydGxJe2JboKNLT07McNWRv70B4eFiu+1ZUPPp0iUf9LvGo3yUe9bpMDDUMb+LGzvOhPEpJB8DO0piUtAztZF7bloRU7C0zt4+euBWNvaUxfeqWxshAg5mZGc2bN3/t/dG3R58uffZJX2g0mnxPhZUCccPqkyxcuBA/Pz9cXFyeWSc5OTnL43DT0tJQMhRcynvSvNd7ADiX8yDs7i1O7PqD6m+0RFEy96x71mpA/TbdAHAqV4E7l89xYtcmXCtV18bzbtgCN+9axEdHcmjzb6z78Uua1KuZqwk8ZL1hI7dP2SqqHn26xKN+l3jU7xKPulyGBhq+7FAJAw18vfPqiy/QwOO19hsRj/hqyyVGNXNn2BtukOHL0aNHecH9fP+FkjFSvUdQNwVq8n7r1i127drF//73v+fWCwwMZPJk3aeJNWnSBCtbOxxKuerkO7iU5eLRvwCwsLLGwNCQEk/XKVWWO5fO6uSZWRTDzKIY9s6lKe1Ria8Hd+LOnRKUK1cuR32xtbHF0NCQ8PBwnfzIyAjs7R1yFKMoevTpEo/6XeJRv0s86nMZGmiY0qESztZmfLDmX+2qO0BkQiomRgZYmRrprL7bWhhz5l6s9vXOC2HsvBCGrYUxDWMzn7Dq69uA583fZYzU79En8pkj7xSobTOLFy+mZMmStG3b9rn1/P39iYmJ0UmNGzemtKc3ESF3dOpGPrirPQLS0MgYl/JeWeuE/FfnWSiKkqvTZoxNTKhUuQqHD/6jk3/44EGq1/DJcZyi5tGnSzzqd4lH/S7xqMv1eOJextacD4POEJukuz3m4oM4UtMzqFPORptnb2lCeQdLzj4xeX9M1KNUUlNTqVIl88SajOfM3mWM1O8RCgYFZuU9IyODxYsX079/f4yMnt/s7B6Ha2RkRH2/riyeNIq/N6ykcv2m3Lt2kZN7NtN20Efaer7terLup68oW7Ea5SrX4NrpY1w+eYh3Pv8OgKiH9zl3eB/uVWtjUdyauMhw/tm0BmMTk+du5cmOfv0HMGH8OCp7e1O9ug/rfg8iJCSE7j175SpOUfPo0yUe9bvEo36XePTr0gCOjpkLTs42ZniUtCQ2MY3w+GSmdayEp6MVn6w7i4FB5h53gNjENNIyFBJS0tn07wM+aOZOTGIacUmpvN+sPNfCEjh267+bWLv6uHDmfiyJKenU8a7DW2+9RVoO1q9kjNTv0Rey3SfvFJjJ+65du7h9+zYDBw7McwwX94p0/2gye4IW8tf65diUcKZlvxFUbfSmtk7FOo1oO2g0/2xczfals7B3KUP30ZMoW7EqAEYmJty5eIajW9eRmBBPMWtbylasxruTfibm5I5ctae1XxtioqOYP+cXwsJCqeDhyey583FxKZXnPhYFjz5d4lG/Szzqd4lHfy4DDZgYwrBhw4DMM9sBNp95wMJ/btHYI3OLxbIBtXSuG7n6NKfuxADw055rpGcoTOlYKfMhTbeimbLlnM6qemVnK95r5Iq5sSGR4aH8+eef+LXv/Mr7k1fUPEZq9wjqp8BM3lu2bPnCp1vlBM+avnjW9H1unRpN/ajR1C/bMitbB3p/GphtWczJ3LenZ+++9OzdN/cXFnGPPl3iUb9LPOp3iUc/rgwFktJgxtTM+762mzfTKW8w868XxkhJV/h+9zW+333tmXW+2nJJ++9WiZl73nMyeQcZo4Lg0Qey8J53CtSed0EQBEEQBEEoyhSYlXdBEARBEAShcCB73vOOrLwLgiAIgiAIQgFBVt4FQRAEQRAEvSIr73lHVt4FQRAEQRAEoYAgK++CIAiCIAiCXpGF97yjUV7F+YsFgMmTJ7/uJgiCIAiCILwWAgICXncTdGj6w8F8d+wb3SDfHa8D2TYjCIIgCIIgCAWEIrVtpkqnIfka/9yG+QB8OiH/P90+fgBHfrvEo36XeNTvEo/6XYXV84fBG/nqAeiQkfngp8L23hUWz5MuNSHbZvKOrLwLgiAIgiAIQgGhSK28C4IgCIIgCK8fOSoy78jKuyAIgiAIgiAUEFQ/eU9LS+Pzzz/Hzc0Nc3Nzypcvz5dffklGRkae4sVEhvHbT1OYMrADk95uxc+fDOLe9Uva8nNH/mLx1E+YOqgDE3o05f7NK1li/DrpQyb0aKqT1vyQt/1kQatX4teyOXV8qtKrexdOnjiepzhFzaNPl3jU7xKP+l3i0Y9LAxgbwJgxYwgICKCpl4O2zMhAwwctyhM0tA5/f/oG20Y3YHLHSjgUM9GJMa9fDU5MbKaTpnWpnMXVqII9SwfW4rPPPuOTTz7BOIcziqI+RgXBow80mvxPhRXVT95nzJjB3LlzmTVrFhcuXGDmzJl8/fXX/Pzzz7mOlRgfx/yJ72NoZET/z2bw4XdLaPPOCMwsimnrpCQn4erlTcs+z7+5tXaLdoyfv06bOg35ONft2bZ1CzOnBzJ4yHCC1m6gZs1ajBg6mJD793Mdqyh59OkSj/pd4lG/Szz6c2k0oABbtmzJUmZmbEBFJyt+PXCTvr8eY+zvZ3G1M+f7nlWz1P3fyfu0/O4fbZq2+ZJOefOKJfiyUyX+CA5h7ty5LFq0iPQcHDwtY6R+j6B+VD95P3ToEB07dqRt27aUK1eObt260bJlS44fz/2nzb82rsLaviRdR4ynTIVK2JZ0xr1qLeydSmnr+LzRkubd+lOhaq3nxjIxNcXKxl6bnvwAkFOWL11M565d6dKtO+Xd3RnnPwEnZyd+C1qd61hFyaNPl3jU7xKP+l3i0Z8rQ4G0DLh48WKWsvjkdEauPM3O82Hcikjk7L1YZm67QmWX4jgVN9Wpm5SaTkRCijbFJ6dryww1Gsa2qsCPu66x7uR9IiMjiYiIICMHk3cZI/V79IWBRpPvqbCi+sl7o0aN2L17N5cvXwbg9OnT/P3337Rp0ybXsS4cP0ip8l6s/i6Aae91Yta49zi26888tSv4wC6mDurAj2PeZeuyX0hOfJSr61NTUrhw/hy+DRrp5Ps2aMjp4FN5alNR8OjTJR71u8Sjfpd41O0qZmZEhqIQl5Smk+/n7cjujxvy27C6jH7THQsTQ21ZRediOBY3I0NRWDm4NmPGjKFPnz68aKokY6R+j1AwUP1pM59++ikxMTFUrFgRQ0ND0tPTmTp1Kr179851rKjQ+xzduZGGbXvQpPPb3L16gT8X/4SRsTE+TVrlOE71Rm9hW9IJKxs7Ht65wY5VCwi5dY16Vb1y3pboKNLT07G3t9fJt7d3IDw8LMdxippHny7xqN8lHvW7xKNel4mhAR80L8+2sw9JSPlvZX3b2Yfci04iIj4F95KWvN+sPB6OxRi58jQApWzNARj6hhvf7byKR9RBfH19MTGEJxbo9d4ffXv06dJnn/RFIV4Yz3dUP3kPCgpixYoVrFq1iipVqhAcHMzo0aNxcXGhf//+2V6TnJxMcnKyTl5aWhpKhkIpdy9a9hkMgIubB6F3bnJkx8ZcTd7rvNlO+2/HsuWxdy7NL+OH4lGqBHZ2drnq39NHJSmKki/HJxU2jz5d4lG/Szzqd4lHXS4jAw2BXStjoNEwfctlnbL1p0K0/74WlsDtiEesHFyHik7FuPggHoP/Vy/8+yZ7LoZRLCOEjRs34u1dFUMNL9z7LmOkfo+gblS/beaTTz5h/Pjx9OrVi6pVq9KvXz8++ugjAgMDn3lNYGAg1tbWOunAgQNY2dpTorSrTt0SpV2JDg99qTa6uHliaGhEXFxcjq+xtbHF0NCQ8PBwnfzIyAjs7R2ecVXuKWwefbrEo36XeNTvEo/6XEYGGqZ3rYKLjTkjVgbrrLpnx8UH8aSmZ1DGzgKA8LgUAG6E/7ddND09HYXnr6bKGKnfo080Gk2+p8KK6ifvjx49wsBAt5mGhobPPSrS39+fmJgYndS4cWPKenkTfv+OTt3w+3ewLeH4Um0MvXOD9PQ0zM3Nc3yNsYkJlSpX4fDBf3TyDx88SPUaPi/VnsLs0adLPOp3iUf9LvGoy/V44l7GzpzhK4KJSUx74TXuJSwxNjQgPD7zG+0LIXEkp6Xjam+hrWNgYIAGUJ6z6i5jpH6PUDBQ/baZ9u3bM3XqVMqWLUuVKlU4deoU3333HQMHDnzmNaamppia6t45b2RkRMO23Zk3cST7/reCqg2acvfqRY7t/lPnmMdH8bFEhz8kLjICQDvZt7Kxw8rGnogH9zj99y48fephaWVN6N1bbF3+C85uHjg45O7Tb7/+A5gwfhyVvb2pXt2Hdb8HERISQveevXIVp6h59OkSj/pd4lG/Szz6dWkAR8fMRSkXGzM8HYsRm5hKWFwKM7pVoaKTFaOD/sVQo8HeMvOM95jEVNIyFErbmuHn7cTfVyOIfpRK+RIWfPRWBS6GxHH6TgwACSnprDtxn6FNyvEwNgn7KHsaNGgAvHjLjIyR+j36wqDwLoznO6qfvP/8889MnDiRESNGEBoaiouLC0OHDuWLL77IdazSFSrSd+xX7Fi1gL3rlmJb0pm2/d+nRuO3tHUuHv+Hdb/M0L4O+uFLAJp360+LHgMwNDLm2pmTHNyyjpSkRKztS+BV05fm3ftzY9eaXLWntV8bYqKjmD/nF8LCQqng4cnsufNxcSn14ouLsEefLvGo3yUe9bvEoz+XgQZMDGHYsGEAfNzSA4BNp0OYt/8mTb1KALBmSF2d64YsO8WJW9GkpivUcbOlV93SWJgY8jA2ib+vRDD/r5s6R0H+uOsa6RkKX3asTDHjSty9e5cX7L7JU3/yiprHSO0eQf2ofvJuZWXFDz/8wA8//PBK4lWs1YCKtRo8s7xmUz9qNvV7ZrmNQ0kGT/7xlbQFoGfvvvTs3feVxSsqHn26xKN+l3jU7xKPflwZCiSlwYypmU/9/sPgDZ3yWl/tfe71D2OTGbLsxUcPpmUo/LDrGj/sukaHjL8A+HRCQI7aWNTHqCB49EFh3pOe36h+z7sgCIIgCIIgCJmofuVdEARBEARBKFzIwnvekZV3QRAEQRAEQSggyMq7IAiCIAiCoFc0yNJ7XpGVd0EQBEEQBEEoIGgU5XmPVCg8TJ48+XU3QRAEQRAE4bUQEJCz04D0RYf5x/Ld8ceQOvnueB3IyrsgCIIgCIIgFBCK1J73xj3fz9f4B4JmATk/6/ZleHyGb367xKN+l3jU7xKP+l2F1bM8ru4Lar48/ayOAoXvvSssniddakLOec87svIuCIIgCIIgCAWEIrXyLgiCIAiCILx+ZOE978jKuyAIgiAIgiAUEGTlXRAEQRAEQdArBrL0nmcKxMp7XFwco0ePxtXVFXNzcxo0aMCxY7k/YujP1b8yvGMDnfRp/3ba8lOH9vFTwGjGvu3H8I4NuHP98jNjKYrCz5PHMLxjA4IP789TvwCCVq/Er2Vz6vhUpVf3Lpw8cTzPsYqSR58u8ajfJR71u8SjH5cGMDaAMWPGEBAQwJtVSuqUj2pZge3jGvPvtLc48eWbLB1Sh+plrXXqrBxel6vf+OmkH/pW16lTzsGCue/W5OjkFowfP54BAwZgkMO5WFEfo4LgEdRNgZi8v/fee+zcuZPly5dz5swZWrZsyZtvvsm9e/dyHcu5rBvTl2zSps9/Wq4tS0lKxL1SNTq9M/yFcfb8EfTSd0pv27qFmdMDGTxkOEFrN1CzZi1GDB1MyP37LxW3sHv06RKP+l3iUb9LPPpzaTSgAFu2bMm2/EZYApPXn6ftN3/Ta/Zh7kUlsmRwHewsTXTqrTl8m/qTd2vT5+vO6ZT/Oqg2hoYa+s09yvz583n48CHGOZhRyBip36MvNJr8T4UV1U/eExMTWbduHTNnzuSNN96gQoUKTJo0CTc3N+bMmZPreIaGRljb2muTlbWttqxeMz/a9hpIperPP9T/7o0r7N64hn4ffJZr/5MsX7qYzl270qVbd8q7uzPOfwJOzk78FrT6peIWdo8+XeJRv0s86neJR3+uDAXSMuDixYvZlm86FcLBKxHciUzkysN4pv1xEStzY7ycrXTqJaZkEB6Xok3xSWnaMlsLY8qVsGTenutcCokjMjKSXbt2odHwwtV3GSP1ewT1o/rJe1paGunp6ZiZmenkm5ub8/fff+c6Xuj9O4x/twOfD+7Kr19PJOxB7lbvU5KTWPhNAD2HjsHa1j7X/sekpqRw4fw5fBs00sn3bdCQ08Gn8hy3sHv06RKP+l3iUb9LPOp1GRtq6Fm/DLGJqVy8H6tT1rGmC0cnt2Dr2EaMb+eFpamhtizqUSpXH8bTuVYpzE0M0Wg01KpVC0XJ/PDwuvqjb48+Xfrsk77QaDT5ngorqr9h1crKCl9fX7766isqVaqEo6Mjq1ev5siRI3h4eOQqVjnPKvQfPRFHl7LERkey9fclfPPpUCb+vJJixa1fHAD4feGPlK9Yler13shLd7RERUeRnp6Ovb3uBwB7ewfCw8NeKnZh9ujTJR71u8Sjfpd41OdqVqkEP7xdA3NjQ0Ljkuk//xhRj1K15X+cvM+dyETC4pLxdLJibBtPKroU590nHmfff95R5g6oxekpbwFvEh8fT0r66+nP6/Lo06XPPgnqR/WTd4Dly5czcOBASpUqhaGhITVr1qRPnz6cPHky2/rJyckkJyfr5KWlpeFdy1f7uhTulK/ozRdDu3N47xbe7Nj7he04feQAl/49wWffL3mp/jzJ058MFUXJl0+Lhc2jT5d41O8Sj/pd4lGP6/C1SDp89w+2lib0rFean/rVoOtPh4iMTwEg6Mhdbd0rD+K5GZbAxo8aUqVUcc7dy1yhn9ylChHxyfT65TAtjP+lZs2a1K5dh+QXTODzoz+v26NPlz77lN8U0GarAtVvmwFwd3dn//79xMfHc+fOHY4ePUpqaipubm7Z1g8MDMTa2lonHThwIEs9UzNzXFzdCb1/N5soWbl05gThD+7xcZ9WjOzcmJGdGwMwf8YEvpswMld9srWxxdDQkPDwcJ38yMgI7O0dchWrKHn06RKP+l3iUb9LPOpzJaakcyviEcG3o/H//Szp6Qo96pZ+Zv1z92JJScvA1cECAN8K9jSrXJLRK05z8mY0Dx48YMuWLSiA4XMmZDJG6vcIBYMCMXl/jKWlJc7OzkRFRbF9+3Y6duyYbT1/f39iYmJ0UuPGjbPUS01N4cHdmzneu96qaz8m/LiMz35Yok0A3QaO4p1RE3LVF2MTEypVrsLhg//o5B8+eJDqNXxyFasoefTpEo/6XeJRv0s86ndpNGBi9OzpgIdTMUyMDAiLy/xG29wkc/97hvKcDe7ZIGOkfo8+MdBo8j0VVgrEtpnt27ejKApeXl5cvXqVTz75BC8vLwYMGJBtfVNTU0xNTXXyjIyMWLf4Z6rWaYRdCUfioqPY+vsSkh4lUL+5HwAJcbFEhj0gJjLzk+3De7cBKP7E6TTZTfTtSjji4OiS63716z+ACePHUdnbm+rVfVj3exAhISF079kr17GKkkefLvGo3yUe9bvEo1+XBnB0dASgjJ0FlVysiH6USvSjVEa0cGf3uVBC45KwtTChb4OyOFmbsfX0AwDK2lvQoaYL+y6EEpWQSgXHYvi3r8i5uzGcuBEFwKmbUcQkpjKzVzVm7byKnYkdtWrVQsPzb1jNa3/ygtrHSM0efVF4p9b5T4GYvMfExODv78/du3exs7Oja9euTJ06FWNj41zFiQoPZdE3AcTHRVOsuA1uXt6Mm7kA+5LOAPx79ADLfpqqrb/wmy8AaNtrIO16v/fqOvT/tPZrQ0x0FPPn/EJYWCgVPDyZPXc+Li6lxKMSl3jU7xKP+l3i0Z/LQAMmhjBs2DAAJnSsBMC6Y3eZuO4c5Uta0rm2D3aWJkQlpHDmTgy9fjnClYfxAKSmZdCggj39G7liaWpESHQiey+E8fOOq9qJedSjVAYuOMbHfp4sH1YXC6M6hIaGkpqRecb8q+xPXlHzGKndI6ifAjF579GjBz169HjpOO998tVzy31btMW3RdtcxZyz8eDLNImevfvSs3ffl4pRFD36dIlH/S7xqN8lHv24MhRISoMZUycDsDyurk75yKXPP1YwJCaJPnOOvNBz9m4sAxZkPt2zn9VRAD6dEJCjNhb1MSoIHn1QUG+0VQMFas+7IAiCIAiCIBRlZPIuCIIgCIIg6BUDTf6n3PDXX3/Rvn17XFxc0Gg0bNiwQadcURQmTZqEi4sL5ubmNG3alHPnzunUSU5O5oMPPsDBwQFLS0s6dOjA3bu6JxpGRUXRr18/7WmI/fr1Izo6OnfvXe66JgiCIAiCIAiFi4SEBKpXr86sWbOyLZ85cybfffcds2bN4tixYzg5OfHWW28RFxenrTN69GjWr1/PmjVr+Pvvv4mPj6ddu3akp//3AIQ+ffoQHBzMtm3b2LZtG8HBwfTr1y9XbS0Qe94FQRAEQRCEwoPa9rz7+fnh5+eXbZmiKPzwww9MmDCBLl26ALB06VIcHR1ZtWoVQ4cOJSYmhoULF7J8+XLefPNNAFasWEGZMmXYtWsXrVq14sKFC2zbto3Dhw9Tr149ABYsWICvry+XLl3Cy8srR22VlXdBEARBEARBeAY3btzgwYMHtGzZUptnampKkyZNOHgw8+CSEydOkJqaqlPHxcUFb29vbZ1Dhw5hbW2tnbgD1K9fH2tra22dnKBRlFw+ZaGAMnny5NfdBEEQBEEQhNdCQEDOTgPSF/1Wns53x6/dKpKcnKyTl92zgJ5Go9Gwfv16OnXqBMDBgwdp2LAh9+7dw8Xlv+f6DBkyhFu3brF9+3ZWrVrFgAEDsvhatmyJm5sb8+bNY9q0aSxZsoTLly/r1PH09GTAgAH4+/vnqF852jbTvHnzHAWDzA7v3r07x/UFQRAEQRAE4VUTGBiYZfE2ICCASZMm5Sne01t9FEV54fafp+tkVz8ncZ4kR5P3jIyMHAdV80J+m3dG52v8Lct+AHJ+1u3L8PgM3/x2iUf9LvGo3yUe9bsKq2fe/ar56gEY6nIGKHzvXWHxPOlSE/rY8+7v78+YMWN08l606p4dTk5OADx48ABnZ2dtfmhoqPZpxk5OTqSkpBAVFYWtra1OnQYNGmjrPHz4MEv8sLAwbZyckKPJ+759+3IcUBAEQRAEQRBeNznZIpMT3NzccHJyYufOnfj4+ACQkpLC/v37mTFjBgC1atXC2NiYnTt3ah8sGhISwtmzZ5k5cyYAvr6+xMTEcPToUerWzXyA2pEjR4iJidFO8HOCnDYjCIIgCIIg6JXcnsOe38THx3P16lXt6xs3bhAcHIydnR1ly5Zl9OjRTJs2DQ8PDzw8PJg2bRoWFhb06dMHAGtrawYNGsTHH3+Mvb09dnZ2jB07lqpVq2pPn6lUqRKtW7dm8ODBzJs3D8jcN9+uXbscnzQDLzl5DwsLIzExMUt+2bJlXyasIAiCIAiCIOiN48eP06xZM+3rx9tt+vfvz5IlSxg3bhyJiYmMGDGCqKgo6tWrx44dO7CystJe8/3332NkZESPHj1ITEykRYsWLFmyBENDQ22dlStXMmrUKO2pNB06dHjm2fLPIk9HRU6ZMoWSJUvi5OSEm5tblpQbXsUTrfLKH2uW8Hbruiyf+x0AaWlprFn4M+OH9WZQxzd4v08b5n4dQFREmM51qSkpLP3la4b1eItBHd/g24CPiQjLuocpJwStXolfy+bU8alKr+5dOHni+Ev3qyh49OkSj/pd4lG/Szz6cWkAY4PMiUdAQACtqzs/s+6Mvj7cn9eF91q46+SvHdOY+/O66KQ579XRlpe2t+DbfjU5PLUV137uyAcffEDTpk3zpT8vg1rHqCB49IFGo8n3lBuaNm2KoihZ0pIlS7TtnTRpEiEhISQlJbF//368vb11YpiZmfHzzz8TERHBo0eP2LRpE2XKlNGpY2dnx4oVK4iNjSU2NpYVK1ZgY2OTq7bmevK+aNEipk+fzqhRo1AUhc8++wx/f39Kly6Nh4cHv/76a67ivYonWuWFa5fOs3fresq6VdDmpSQncfPqJTr1GchXs5YzeuIMQu7d4btJH+tcu2Ledxw/uJ/3x09l4rcLSE56xLcBY8jIyMhVG7Zt3cLM6YEMHjKcoLUbqFmzFiOGDibk/v2X6lth9+jTJR71u8Sjfpd49OfSaEABtmzZ8ty4ras7U9PNlpCorN+eA6w4cIPqn2zWpnErTmnLKjhZYWCg4dMVp2g2eSfbt2+nVq1aGOVgRiFjpH6PoH5yPXmfPXu2dsIO0LlzZ6ZMmcLFixexsrIiPDw8V/H8/PyYMmWK9olVT/L0E628vb1ZunQpjx49YtWqVbltupakxEfMmTmRQR9OwKJYcW2+hWUxxgfOov4bb+FSxpUKlaryzvCx3LhykfDQBwA8Sohn3/Y/6Dv4Q7xr1qVcBS+Gj/uSOzev8eDBg1y1Y/nSxXTu2pUu3bpT3t2dcf4TcHJ24reg1XnuW1Hw6NMlHvW7xKN+l3j058pQIC0DLl68+MyYTjZmTOldg5ELj5GWnv2iU2JKOmGxydoUl5SmLdt37iEfLT3B/guh3A5/xOXLlzl06FCO9jDLGKnfoy80ekiFlVxP3q9evUr9+vUxMMi8NCUlBQBzc3M+/vhj5s+f/8oal5MnWuWFJbNnUqNuQ7xr1n1h3cSEeDQaDRaWxTLbdOUC6WlpVK3539OxbO1LUMa1fK4+uKSmpHDh/Dl8GzTSyfdt0JDTwaeecVXuKWwefbrEo36XeNTvEo+6XBoN/DSgNnN2XOZyyLO/we5Stwxnv23L3oA3+aKrN5amz79FLicnesgYqd8jFAxyfcOqkVHmJRqNhuLFi3P37l1tmYODA/fu3XtljXu8kv302ZeOjo7cunUrTzEP7dvBzauX+PKnJS+sm5KSTNDiWfg2baWdvMdERWBkbIylVXGdusVt7UmKjchxO6Kio0hPT8fe3l4n397egfDwsGdclXsKm0efLvGo3yUe9bvEoy7XyFaepGcoLNxz7Zl1/nf0DnfCEwiNTaaiS3H8O1ehcmlrev34T7b1bW1tqVu3Ls9YxNciY6R+jz4x0MM574WVXE/ePTw8uHPnDgB16tRhwYIFdOzYEQMDA+bPn0+5cuVedRtz/USr5OTkLI+nTUtLIyLsIcvnfsen037CxOT5qwRpaWnMDpxARobCu++Pe3Ej8/hwqrw8rUs8+nWJR/0u8ajfJZ7X76pa1ob3mleg1dQ9z6236u+b2n9fuh/L9dB4tk9oTtUyNpy5E61T19HajL59+3L+/HkqV6uZo3bIGKnfI6ibXE/e27Rpw19//UX//v3x9/enVatW2NjYYGRkRHx8PIsWLXpljcvJE62yI7vH4TZp0gSXirWJjY5k4vv9tfkZGelcOnuKnX/8zpJNf2NgaEhaWho/T/Mn7MF9/Gf8ol11B7C2tSctNZWEuFid1ffY6EiKW5rluG+2NrYYGhpm2WoTGRmBvb1DjuMUNY8+XeJRv0s86neJRz2ueh72OFiZciywtTbPyNCAgG7VGNy8AvUmbM/2ujO3o0lJy8DN0VJn8u5obcbaMY25e/c6mzZteuHkXcZI/R59Ip858k6u97x/8cUXLFy4EIDmzZtz8OBBhg0bxuDBg9m1axf9+/d/QYSc8+QTrR7z+IlWz3sSlb+/PzExMTqpcePGVKlRh8C5q5n6ywptcvOoRINmrZn6ywqdifvDe3cYHzgbq+I2um3yqIShkRFnTh3R5kVFhHPn1nUcHHL+C2RsYkKlylU4fFD3a8jDBw9SvYZPjuMUNY8+XeJRv0s86neJRz2udYfv0OKr3bw1ZY82hUQlMmfHZfr8lP2WGAAvl+KYGBnwMCZJm+dkY8bajxtz5nY0GzdufC39ed0efbr02SdB/bz0E1br1KlDnTp1XlzxGbzsE62yI7vH4RoZGWFuYUmZcrrn2ZqamVOsuDVlyrmTnp7GT1PGc/PqRT7+8jsyMtKJjsz8lFvMyhojY2MsLIvRtFUHVs3/kWJW1hSzsmbVrz9Sppy79puCnNKv/wAmjB9HZW9vqlf3Yd3vQYSEhNC9Z69cxSlqHn26xKN+l3jU7xKPfl0a/rtXrIyDJVVKWxOdkMK9qESiElJ06qalZxAam8S1h/EAuDpY0qVeGXaffUBkfAqezlYEdKvKmdvRHLuaeV9X5or7G9yLesSX687Qp4RFvvYnL6h9jNTs0Rey3SfvvPTk/WV5FU+0elVEhoVy8vBfAEwY8bZO2Wcz5lC5ei0A+g79CANDQ2ZN+4yUlGSq1KjD0MkBHNmau+OaWvu1ISY6ivlzfiEsLJQKHp7MnjsfF5dSr6ZDhdSjT5d41O8Sj/pd4tGfy0ADJoYwbNgwACb3qAZA0MFbfLT0xAt9qekZNKpYgkHN3bE0NeJ+VCK7zzzguz8vkPH/t3Y1qVyS8o7FKO9YjJMz2gBttNc/caLkK+lPXlHzGKndI6ifXE/e3dzcnvtpSaPRcO3as+9if5rHT7R6XrxJkyYxadKk3DQzx3z+9Vztv0s4ubBi29EXXmNiYkr/EZ/Qf8QnL+3v2bsvPXv3fek4Rc2jT5d41O8Sj/pd4tGPK0PJnEDPmJp539e8+1WfW//pfe73oxLp+u2B517z26Hb/Hbotvb1UJczAHw64f/YO++4Kqs/AD+XPUSWynAA7oHi3gNHKrk1V+ZoOHKUUTkyQ03FzGyZlmbugWW5R5Y7s0RFzb0VQdkge72/P/h58wYOLnB5ge/T53w+3nPO+33O4QT33HPPe16/52pjSR+jouAxBLLwrj+5nry3a9cu2+Q9IiKCY8eOUbp0adq1a5dvjRMEQRAEQRAE4V9yPXlfuXJljvmRkZG88MILdOvWLa9tEgRBEARBEIoxcs67/uT6tJkn4ejoyPvvv5/tiEZBEARBEARBEPKHfL1htUyZMty4cSM/QwqCIAiCIAjFDFl41598W3lPS0tj2bJleHh45FdIQRAEQRAEQRAeI9cr7x06dMiWl5KSwpUrV4iKimLVqlX50jBBEARBEASheCLnvOuPRnnaOY054O3tne0HbmFhgbu7O0OHDn3qk08LE9mLLwiCIAhCScXP7/mO8jQU4365WOCOb/rUKnBHYZDrlfeDBw8WQDMEQRAEQRCEkkK+7dsugeR68j5r1izeeOMNXF1ds5WFhoaybNkyPvroo3xpXH7TdtD4Ao1/eOMi4PkfVJEXHj2Ao6Bd4lG/Szzqd4lH/a7i6lkd17RAPQDDSmc93LC4/eyKi+dxl1A8yPUHn5kzZxIcHJxjWUhIiGxPEQRBEARBEJ6KRqMp8FRcyfXk/Wlb5OPj4zE1Nc1TgwRBEARBEARByJnn2jZz9uxZgoKCtK937drFpUuXdOokJSWxbt06qlSpkq8NFARBEARBEIoXRsV3YbzAea7J+y+//KLdDqPRaJg1a1aO9SwtLVmxYkWuGnD48GE+/fRTTp48SWhoKL/88gu9e/fWlv/888989913nDx5ksjISE6fPk39+vVz5XjE9vXfs3PjDzp5pe0cmL96B5D1rcKODcs5+us2EuPjcK9eh8Fj3sW1UmWda25cOsfWNd9x88oFjE1MqOBRjQl+C/VqU8CGdaxcsZyI8HCqVK3GpCkf0LBRY71ilSSPIV3iUb9LPOp3iccwLg1gYgS+vr7Y2NgQuuIk+/4J05a/1bkq3Ru44GJrQVqGwj/BsXy2+wpn7sTqxGngZse7PtXxqmRLeqbChXtxvLYskJT0TMrbWzL+hSq0qOpI2dLmJD5sxrlz5wqkP3lBrWOkD5s2rmdTwAZC7t0DoErVaox+cyyt27TLN4ehkcm7/jzXtplRo0Zx4sQJ/v77bxRFYcWKFZw4cUInnT17loiICAYMGJCrBiQkJODl5cWiRYueWN6qVSvmzZuXq7hPwrWSB5+s2q5N079eoy379ee1/L51I4NG+TLls+XY2jvw5UcTSU5M0Na5cekcX83wpVaDpkz57HumfLYc72790Ojxf+Ge3buYP8+fkaPeJOCnLTRs2Iixo0cSGhKSL30trh5DusSjfpd41O8Sj+FcGg0oZH1DnhM3wxOY8fMFXlxwlIGLjhMcncSqUU1wsDbT1mngZseKkY05ciWCvl/+SZ8vjrHmjzs82jVbpZw1RhoNH/50nq7zj7B3714aNWqEyXPMKGSM9KOckzNvv/Me6zdtZv2mzTRt1py3x4/j2rWr+eYQig7PNXl3cXGhUaNGNG7cmAMHDtCvXz8aNWqkkzw9PbG0tMx1A3x8fJg9ezZ9+/bNsXzo0KF89NFHdOrUKdexc8LI2ARbe0dtsrG1B7JW3X/ftgmfAcNp0NKb8m5VGD5xOqkpyfx9eJ/2+h+//4oO3fvT9aVhuFaqjJNrRRq16oCpqdmTlE9kzaoV9OnXj74v9adylSpMmjoNZxdnNgVsyJe+FlePIV3iUb9LPOp3icdwrkwF0jPJtrX1EdtPh3LsaiR3o5K4+iCeuVsvYWNpSk1XG22dab1qserobb7bf4OrD+K5FZHInrP3Sc3IBODw5QgmB5zj6JUI7kYlceXKFf7888/nWkmVMdIP7/YdaNO2He7uHri7ezDh7XewsrLi7JmgfHMYGrlhVX9yfcNq7dq1CXnCp8krV64QERGR50YVJGEhd5k8oifT3ujH959OJ/x+1ldQEQ9CiIuOpFb9f4/VMjU1o1qd+ty4mPV1YFxMFDevnMfGzp75k0bx/tBufDZ1LNcunMl1O9JSU7l44TwtWrbWyW/RshVngk7noYfF22NIl3jU7xKP+l3iUa/L1FjDoBYViUtK42JIHACOpcxo4GZHZHwqP05ozl8zOrB+bDMaedg/NZa5ufkzfTJG+UNGRga7d+0kKSkRL68GBeIQ1E2uz3kfN24ctra2LFu2LFvZZ599RlxcHBs25P8n2/zAo0YdRrwzHSfXSsTFRLFr00o+nTSajxatIy46CsjaA/84pe0ciAq/D0DE/awPLTs2LKffq+Op4FGN4wf28MWHbzF90dpctSU6JpqMjAwcHR118h0dyxAREa5vF4u9x5Au8ajfJR71u8SjPlf7WmX5cmh9LE2NCXuYwrDvThCdkAZARQcrIGtvvP/2S1wMeUifRq6sGdOUFz89wq2IxGzx7O3tadq0Kf9fmDd4fwrLY2jX1SuXGfryIFJTU7CysuLzr76hStWq+eowJLLnXX9yvfL+xx9/0KVLlxzLunTpwtGjR/PcqLySkpJCXFycTkpPT8ezUQsatmxPefcq1KrfhPEfLQDg+P5/9wb+92sWBYWsW4D+PSazTZfetOzUnUpVajDgjbdxKl+JY/t26NXWbD5FKZCveoqbx5Au8ajfJR71u8SjHtfx61H0+OwP+n99nMOXwvl6aH0cS2Vt/TT6/6xgw5932XziHhfuxTFn2yVuhsXzUtMK2WKVK23OkCFDuHDhAhlPPkm6QPtT2B5DudzdPdi0eQtr1gfQf+Bgpn8wmevXruWrQyga5HryHhERke0T5iPs7e0JD8/fT5r64O/vj62trU46cuRItnrmFpa4ulUhLCSY0vZZK+6x0ZE6dR7GRGtX423ts/rtUtFdp45zRXeiIh7kqo32dvYYGxtn22YUFRWJo2OZXMUqSR5DusSjfpd41O8Sj/pcSakZ3I5MJOhODFM3/UNGpkL//0/Mw+JSALj2IF7nmuthCbja697XVq60OevebEpwcDDbt28vtP4UlsfQLlMzMyq5uVHHsy5vv/Mu1WvUZN3a1fnqMCQaTcGn4kquJ+9OTk5PPBLq3LlzT5zYG5KpU6cSGxurk9q0aZOtXlpaKveDb2Hr4EgZJ1dK2ztyMeiEtjw9LY2r54OoXKsuAI5OLtg6lOHBvTs6ccLu3cGxrHOu2mhqZkat2nU4fuwPnfzjx47hVT//9rAVN48hXeJRv0s86neJR/0ujQbM/n9UTHBUEvdjk6lczlqnjntZa+5FJWlfO5U2Z/3YZpy/F8fWrVufyyNjlL8oikJaamqBOgR1kus97127dmXOnDl07dqV6tWra/OvXr2Kv78/3bt3z1W8+Ph4rj32tc/NmzcJCgrCwcGBSpUqERUVxZ07d7Q3yV6+fBkAZ2dnnJ1znjCbm5tnu3nGxMSEn374mnpNW+NQxomHsdHs2rSS5MQEmnfwQaPR0LHnAPb8tJpyrhUp51qBPT+uxszcgqZtXwCyvhbr3GcI2zd8T3mPqlT0qM7x/bu4f+82o6bM4eKhLbnq+9DhrzJtyiRqe3ri5dWAzT8GEBoaSv+Bg3IVp6R5DOkSj/pd4lG/SzyGdWnIWmgDqOBgRS1XG2IS04hJTGNsxyr8fj6MsIfJ2FuZMaRVJZxtLdh95r72+mUHbjKxS1Uuhjzk4r04+jYpT5Vy1oxflXUDZrn/T9xDYpLw33aJvtZWBdoffVD7GOWWr75YSOs2bXFydiYxIYE9u3cReOJvFn/3fb45DI1RcV4aL2ByPXmfMWMGO3bsoF69erRv354KFSoQHBzMgQMHcHR01D7M6XkJDAykffv22te+vr4ADB8+nJUrV7Jt2zZeffVVbfmgQVm/DH5+fsyYMSNXrpjIMJYv8CM+LoZSpe2oXMOTSZ8uw7GcCwCd+75CakoKG75dQGL8Qzyq1+atmZ9jYfXvCkTHXgNJS0vhp+VfkfAwjgoeVXl71peUdanAxVy1Brr6vEhsTDRLlywmPDyMqtWq8823S3F1LZ/LSCXLY0iXeNTvEo/6XeIxnMtIA2bGMGbMGAA+7FULgM0ngvnwp/NUKWdN3yYNsLc2IyYhlbN3Yxn4zV9cfWybzMojtzA3NeLDXjWxtTTlUuhDhn13gjuRWTertqlRBvey1riXteaYXwegg/ba5PT87Y++qHmM9CEyMoJpUyYRHh5GKRsbqlevweLvvqdFy1b55hCKDrmevLu6uhIYGMj06dPZs2cPv//+O2XLluWVV17h448/xsQkdyG9vb21N4LmxIgRIxgxYkRum5kjb7z/8VPLNRoNPV5+gx4vv/HUel1fGkbXl4blS5sGDh7CwMFD8iVWSfIY0iUe9bvEo36XeAzjylSyJtCfzMlaSFsd11SnfOyq5zu+8Lv9N/hu/40cyzafuMfmE/e0r4eV/huAydP8nit2SR8jfZj58dwCi11Y5HrftqAl15N3yJrAL1++XPs6MzOTPXv2MH78eHbs2EFKSkq+NVAQBEEQBEEQhCz0mrw/4vr16/zwww+sWrWK0NBQzMzM6NevX361TRAEQRAEQSiGyJZ3/cn15D05OZkff/yR5cuXc+TIEe1Zpr6+vkyZMkUVp80IgiAIgiAIQnHkuSfvJ06cYPny5WzcuJGHDx9ibW3NiBEj6NevH927d6dHjx4ycRcEQRAEQRCeiZw2oz/PNXmvV68e58+fB6BFixa89tprDBw4EGtra2JjYwu0gYIgCIIgCIIgZKFRnnbUy/8xMjJCo9HQrVs35s2bR+3atbVlsbGx2Nvbc/DgQdq2bVugjc0LuT3CUhAEQRAEobjg5/d8pwEZio/2Xi1wx6wu1QrcURg810k9X3zxBfXq1WPHjh3UrVuXFi1a8P333/Pw4cOCbp8gCIIgCIIgCP/nubbNvPXWW7z11lsEBgZq972PGjWKiRMn0q1bNzQaDZoisHfJpcuIAo0funcl8Pxn3eaFR2f4FrRLPOp3iUf9LvGo31VcPQftXihQD4B3zD6g+P3siovncZeaMFL/tFG15OqM/MaNG7NkyRJCQ0NZtWoVjRs35qeffkJRFF5//XU+++wzIiMjC6qtgiAIgiAIglCi0esBVxYWFgwdOpSDBw9y5coVpkyZQmJiIu+//z4VK1bM7zYKgiAIgiAIxQgjjabAU3Elz0+nrVKlCnPnzuXOnTts27aNrl275ke7BEEQBEEQBEH4D3l6wurjGBkZ0b17d7p3755fIQVBEARBEIRiSDFeGC9w8rzynlcOHz5Mjx49cHV1RaPRsGXLFm1ZWloakydPpm7dulhbW+Pq6sqwYcMICQnRy7Xs3aF8NrxztvTb6q8BuBp4lJ8+nco3417is+GdCbt9PVuMfSu+4Pv3hvPlG91ZPL4/W77wIzLkjl7tAQjYsA6fzh1o0qAug/r35dTJQL1jlSSPIV3iUb9LPOp3iccwLg1gagS+vr74+fnRqrKDTnmbKg7M712LLaOacODtllQpY5Utxuf96nDg7ZY6aXrX6jp1qpW15tM+tdk+pinvv/9+rhbuSvoYFQWPoG4KffKekJCAl5cXixYtylaWmJjIqVOnmD59OqdOneLnn3/mypUr9OzZUy/XEL+vGfPlRm16adI8AGo0yTqfPi0lmfLV6tCm/+tPjOHkXo2ub7zLCP/v6ffeXBRFYfOnU8nMzMh1e/bs3sX8ef6MHPUmAT9toWHDRowdPZJQPT+clBSPIV3iUb9LPOp3icdwLo0GFGDXrl05lluYGvNPyEOW/nH7qd4d5+7Td9kJbVq4/9/FLEdrUxb0rc29mGTGbjzLunXrKFu2LKbPMaOQMVK/x1AYaQo+FVcKffLu4+PD7Nmz6du3b7YyW1tb9u3bx4ABA6hRowbNmzfn66+/5uTJk9y5k/vVbqvSdljbOWjTjaC/sCvnSoWa9QCo3aoTLXq/gludBk+MUa99NyrUrIdtWWec3KvRut8IHkaFExf+INftWbNqBX369aPvS/2pXKUKk6ZOw9nFmU0BG3IdqyR5DOkSj/pd4lG/SzyGc2UqkJ4Jly5dyrF836VwVv8dzMk7T386enJ6JtGJadqUkPrvAlULDwfSMxW+PHCDuzHJhISEsGvXLoyNslb+87M/+qLmMVK7R1A/hT55zy2xsbFoNBrs7OzyFCcjPY0Lx37Hs20Xvc+oT0tJ4p8je7Et64yNY9ncXZuaysUL52nRsrVOfouWrTgTdFqv9pQEjyFd4lG/Szzqd4mnaLj+S6caZdkyqgkrXqnPmNZuWD62rG5qrCE9Q+Hxx7Onp6cDT1/tlDFSv8eQaAzwX3El325YNQTJyclMmTKFl19+mdKlS+cp1rWTx0hJjKdO6865vjbo920cDvietJRkHFwq8tL78zA2Mc1VjOiYaDIyMnB0dNTJd3QsQ0REeK7bVFI8hnSJR/0u8ajfJZ6i4Xqc3y6FExqXQlRiGh6Oloxs6UaVsta8/8sFAE7fjWVsG3cGNnRlc1AoFhYWdOjQ4ZlxZYzU7xGKBkVm8p6WlsagQYPIzMxk8eLFT62bkpJCSkqKTt6jVYFHnDu8B496TShlr/uL8DzUatERtzqNSIiJ5MTun9j+zWwGf/hFruMA2Vb9FUUpkKfVFjePIV3iUb9LPOp3iadouAB2ng/T/vtWZCL3YpL5brAX1cpaczU8gVtRSczbd42xbdwZ2coNJbMJf//9N4rylKCPIWOkfo8hKM570guaIrFtJi0tjQEDBnDz5k327dv3zFV3f39/bG1tddKRI0e05XERD7hz/jR12/no1R5zK2vsnctToWY9ek6YTlToXa6e/CNXMezt7DE2NiYiIkInPyoqEkfHMnq1qyR4DOkSj/pd4lG/SzxFw/U0roQlkJaRSQU7C23e75cj6Pd9IP2XBzJ//nwOHjwIwNPm7zJG6vcIRQPVT94fTdyvXr3Kb7/9lu0ro5yYOnUqsbGxOqlNmzba8n+O7MWqtB2VvZrlWzsz0tNyVd/UzIxatetw/JjupP/4sWN41X/yDbO5pbh5DOkSj/pd4lG/SzxFw/U03B2tMDU2IjIh+/tcdGIaaWlp1KlTB8i6YfZJyBip32NI5LQZ/Sn0bTPx8fFcu3ZN+/rmzZsEBQXh4OCAq6srL730EqdOnWLHjh1kZGRw//59ABwcHDAzM8sxprm5Oebm5jp5JiZZXVUyM/nnyK/Ubv0CRsbGOnWS4uN4GBlOfEwkAFH37wJgbWuPtZ0DMWGhXP7rIO6ejbAsbUd8dAR/7wzAxNSMyl5NiP1za676PnT4q0ybMonanp54eTVg848BhIaG0n/goFzFKWkeQ7rEo36XeNTvEo9hXRrAyckJABdbc6qUseJhSjphD1OxMTehnI0ZZUplvX9WsrcEIOr/p8q42prTqUZZjt+KJjYpHXdHS95s486VsHj+CY3TOnrXc+Z86EOS0jJoUq0JL7zwAumZBdMffVD7GKnZI6ifQp+8BwYG0r59e+1rX19fAIYPH86MGTPYtm0bAPXr19e57sCBA3h7e+fad/v8KR5GhuHZtku2suunj7P3+wXa1zsXzwWgRe9XaNlnGCamZty78g+nfv2F5IR4rGztqFCjLoOnf4FVaXuefvBWdrr6vEhsTDRLlywmPDyMqtWq8823S3F1LZ/rfpUkjyFd4lG/Szzqd4nHcC4jDZgZw5gxYwAY19YDgD0Xwvhk3zVaVrZnSudq2vofvVgDgJXH77Lqr7ukZSg0rGhL3/ouWJoaEx6fwvGb0az6K1hnVb2WcylGNK+IpakxURFh7NixA58effK9P/qi5jFSu8dQFNW9+mqg0Cfv3t7eKE+5y+VpZfrgXrcx7676Nccyzzad8Wzz5NNnStk70vfdOfnanoGDhzBw8JB8jVkSPIZ0iUf9LvGo3yUew7gyFUhOh0/mzATgoN0LOuV7L4az9+KTTycJj09l4ubzz/T4//rvN+beMfsAnmvyDjJGRcEjqJtCn7wLgiAIgiAIJYvivCe9oFH9DauCIAiCIAiCUFC4u7uj0WiypXHjxgEwYsSIbGXNmzfXiZGSksKECRMoU6YM1tbW9OzZk+Dg4AJpr0zeBUEQBEEQBIOi0RR8el5OnDhBaGioNu3bl7UVrH///to6Xbt21amza9cunRgTJ07kl19+YePGjRw9epT4+Hi6d+9ORkZGvvy8Hke2zQiCIAiCIAgllrJly+q8njdvHlWqVKFdu3baPHNzc5ydnXO8PjY2luXLl7NmzRo6deoEwNq1a6lYsSK//fYbXbpkPyQlL8jKuyAIgiAIgmBQjDSaAk/6kJqaytq1a3nttdd0TsQ5ePAg5cqVo3r16owcOZKwsH+fRHzy5EnS0tLo3PnfQ09cXV3x9PTk2LFj+v+QnoBGye/jXFTKzJkzC7sJgiAIgiAIhYKfn19hN0GHr47eLHDH6CaupKSk6OTl9Cygx9m0aRMvv/wyd+7cwdXVFYCAgABKlSqFm5sbN2/eZPr06aSnp3Py5EnMzc1Zv349r776ajZX586d8fDw4LvvvsvXfsnKuyAIgiAIglDs8Pf3x9bWVif5+/s/9Zrly5fj4+OjnbgDDBw4kG7duuHp6UmPHj3YvXs3V65cYefOnU+NpShKgZxnX6L2vLcZOL5A4x8JWATA5GkF/+n20Rm+Be0Sj/pd4lG/SzzqdxVXz9r4ZgXqAXil1F9A8fvZFRfP4y41YYhnNE2dOlX78M9HPG3V/fbt2/z222/8/PPPT43r4uKCm5sbV69eBcDZ2ZnU1FSio6Oxt7fX1gsLC6Nly5Z56EHOyMq7IAiCIAiCUOwwNzendOnSOulpk/cVK1ZQrlw5unXr9tS4kZGR3L17FxcXFwAaNWqEqamp9pQagNDQUP75558CmbyXqJV3QRAEQRAEofAxQl1PacrMzGTFihUMHz4cE5N/p8fx8fHMmDGDfv364eLiwq1bt/jggw8oU6YMffpkPVXY1taW119/nXfffRdHR0ccHBx47733qFu3rvb0mfxEJu+CIAiCIAhCiea3337jzp07vPbaazr5xsbGnDt3jtWrVxMTE4OLiwvt27cnICAAGxsbbb3PP/8cExMTBgwYQFJSEh07dmTlypUYGxvne1sLfdvM4cOH6dGjB66urmg0GrZs2aJTPmPGDGrWrIm1tTX29vZ06tSJv/76Sy/Xjg3f82avljpp8vDu2vLTfx7kK7+JvPeKD2/2asndG1eyxVg4bVy2GN9/Ol2v9gAEbFiHT+cONGlQl0H9+3LqZKDesUqSx5Au8ajfJR71u8RjGJcGMDUCX19f/Pz86FSnnE75hBeqsuf91pyZ04nAmR1ZOaoxXhVtdeqsHdOUq5921UmfD/HSqfNmh8oEjGvG2TkvMHny5ALrT15Q6xjpw5JvvsarTg2d1KFtq3x1GBo1PaQJsk6GURSF6tWr6+RbWlqyd+9ewsLCSE1N5fbt26xcuZKKFSvq1LOwsODrr78mMjKSxMREtm/fnq1OflHok/eEhAS8vLxYtGhRjuXVq1dn0aJFnDt3jqNHj+Lu7k7nzp0JDw/Xy+dSyYN5K7dr04dfrdGWpSYnUaVWPXoPe/OpMVp37qkTY8jY3P3hesSe3buYP8+fkaPeJOCnLTRs2Iixo0cSGhKiV7yS4jGkSzzqd4lH/S7xGM6l0YAC2Z7++Ihb4QnM2nKR7p/9waDFf3EvKokVIxvjYG2qU2/j8bu0mLVfm6ZvPq9TbmpixO6z91n/550C7Y++qHmM9KVK1Wr8fvCoNv20ZXu+xheKDoU+effx8WH27Nn07ds3x/KXX36ZTp06UblyZerUqcPChQuJi4vj7NmzevmMjU2wtXfUJhvbf+8Kbtbeh26DXqOWV5OnxjA1t9CJYWldSq+2rFm1gj79+tH3pf5UrlKFSVOn4ezizKaADXrFKykeQ7rEo36XeNTvEo/hXJkKpGfCpUuXcizfHhTKsauR3I1K4tqDePy3X8LG0pQaLjY69ZLTMoh4mKpN8cnpOuVf/XqNlUduc+V+fIH2R1/UPEb6YmJsTJmyZbXJwcEhX+MbGiNNwafiSqFP3nNDamoqS5cuxdbWFi8vr2dfkANhIXeZMqInH47sx/efTif8/r1cxzhx6Ffee8WHWeOHsHnF1yQnJuQ6RlpqKhcvnKdFy9Y6+S1atuJM0OlcxyspHkO6xKN+l3jU7xKPel2mxhoGNq9IXFIal0Ie6pT1bODKXzM6sOvdVkzuXgNr87zv25Uxyhu379ymk3drfDp3YNJ77xB8926+xheKDkXihtUdO3YwaNAgEhMTcXFxYd++fZQpUybXcdyr12H4xOk4uVYiLiaK3T+uZMHk0Uz/eh2lSts+OwDQtF1nHMu5UtregZDbN9i65luCb17j7Vlf5qot0THRZGRk4OjoqJPv6FiGiAj9tgSVBI8hXeJRv0s86neJR32u9rXK8vkQLyxNjQl7mMKIpSeITkzTlm87FUJwdBLhcSlUdy7Fuy9Wp5aLDSOW5W0ft4yR/tStV485cz/Bzd2dyMhIln23hGFDBvHzth3Y2dk/O4AKMTLEQe/FlCIxeW/fvj1BQUFERESwbNkyBgwYwF9//UW5cuVyrJ+SkpLtEbXp6el4NmqhfV2eKlSu6clHo/tz/MAuOvUa/Fxtad25178x3KpQzrUi8959jTvXL+vRM7I9eaugnsZV3DyGdIlH/S7xqN8lHvW4jl+Loufnx3CwNmVAs4p8ObQ+L311nKiEVAA2/R2srXv1QTy3IhLZMrEltcuX5sK9OL29j5Axyj2t27TT/rsaUM+rPt27vsC2LVsYNuLVfPMIRYMisW3G2tqaqlWr0rx5c5YvX46JiQnLly9/Yv2cHod75MiRbPXMLSxxdatCWEhwDlGej0pVamBsYkJYSO6+vrK3s8fY2JiIiAid/KioSBwdc/+tQknxGNIlHvW7xKN+l3jU50pKy+BOZCJBd2L54Md/yMhQ6N+0whPrn78XR2p6Ju5lrPR2goxRfmJlZUW16tW5c+dWgTkKGrWdNlOUKBKT9/+iKEq2lfXHmTp1KrGxsTqpTZs22eqlpaVyP/gWtvaOOUR5PkLu3CAjPR1bh9zFMDUzo1btOhw/9odO/vFjx/Cq30Dv9hR3jyFd4lG/Szzqd4lH/S6NBsxMnjwdqOZUCjMTI8Ljnvy++zzIGOUfqamp3LhxnTJlyhaYQ1Avhb5tJj4+nmvXrmlf37x5k6CgIBwcHHB0dGTOnDn07NkTFxcXIiMjWbx4McHBwfTv3/+JMc3NzbM9/tbExITNK76mbpPWOJR14mFMNLt/XElyYgLNO/gAkPAwjqjw+8RGZX2CfnAv6wis0v8/VSY8NJi/D/2KZ6MWlCptR+jdm2xe8TUVK1enSs163P9H95f3WQwd/irTpkyitqcnXl4N2PxjAKGhofQfOChXcUqax5Au8ajfJR71u8RjWJcGcHJyAqCCgyW1XG2ISUwjJiGNNztWZv+FMMLiUrCzNmNIi4o421qw++x9ACo5WtKzgSsHL4UTnZBGVSdrpnavyfngWE7eitY6XOwssLMyxdXOAo1Gg5OTExqyjqnM7/7og9rHKLd89ukntPNuj7OLC1FRUSz7dgkJ8fH07N0n3xyGRva860+hT94DAwNp37699rWvry8Aw4cP59tvv+XSpUusWrWKiIgIHB0dadKkCUeOHKFOnTq5dkVHhPHDAj/iH8ZQqrQdHjU8mTR/GY7lXAA4+/cRVn81R1t/+YKPAOg26DW6D34DYxNTLp8N5MCOTaQkJWFfphyejVvSbdDrGOnxBK2uPi8SGxPN0iWLCQ8Po2q16nzz7VJcXcvnOlZJ8hjSJR71u8Sjfpd4DOcy0oCZMYwZMwaAaT1rAfBz4D2mbz5PlXLW9GncAAdrM6ITUjkXHMvgxX9x7UHWkY+p6QotqjoyrLUb1uYmhMYkcfBiOF/vu07mYzPziV2q0bfxv2145EvNQKdeXvujL2oeI3148OA+U973JTo6BnsHe+rVq8+a9ZsKpD+C+in0ybu3tzeK8uTf9J9//jnfXG+8//FTy1t07EaLjt2eWO5Q1gnfuYvzrT0AAwcPYeDgIfkasyR4DOkSj/pd4lG/SzyGcWUqkJwOn8yZCcDa+GY65eNWBz31+vuxyQz59u9neiYHnGNywDkAXimV9dTzydP8nquNJX2M9GH+gs8LLHZhIQvv+lMk97wLgiAIgiAIQkmk0FfeBUEQBEEQhJKFrB7rj/zsBEEQBEEQBKGIICvvgiAIgiAIgkEpqAdmlQRk5V0QBEEQBEEQigiy8i4IgiAIgiAYFFl31x+N8rRzGosRM2fOLOwmCIIgCIIgFAp+fs93lKehWB14t8AdwxpXLHBHYSAr74IgCIIgCIJBkSes6k+JmrzX7jWyQONf2LoMeP4HVeSFRw/gKGiXeNTvEo/6XeJRv6u4erYZtS1QD0DPzMNA8fvZFRfP4y6heFCiJu+CIAiCIAhC4SPr7vojp80IgiAIgiAIQhFBVt4FQRAEQRAEgyJb3vWn0FfeDx8+TI8ePXB1dUWj0bBly5Yn1h09ejQajYYvvvhCb19cVDg/fj2HOa/3YubQriya9Ab3blzWlp//6zAr57zP3Dd68eHA9oTeuqZzfXTYfT4c2D7HdOfOnVy3J2DDOnw6d6BJg7oM6t+XUycD9e5bSfIY0iUe9bvEo36XeAzj0gCmRuDr64ufnx/eNcpoy0yMNEzoWJmA0U04Orkteya2ZGavWpQpZaYT47uh9Tk5vb1Omtu3tk6d7ROaa8v8/Pzw8/PD5DlnFCV9jIqCR1A3hT55T0hIwMvLi0WLFj213pYtW/jrr79wdXXV25UU/5ClH03AyNiE4VPn8dZnK/EZ+iYWVqW0dVJTkqlUw5POg0flGMO2TFkmf7dZJ3XoPwIzcwtcXFxy1Z49u3cxf54/I0e9ScBPW2jYsBFjR48kNCRE7z6WBI8hXeJRv0s86neJx3AujQYUYNeuXdnKLEyNqOlsw/dHbjHk+xO89+M/uDlY8vnAutnq/nwqhM4L/9CmuTsvZ6uz5OANOi/8gwULFrBgwQLSM/O/P/qi5jFSu8dQaDSaAk/FlUKfvPv4+DB79mz69u37xDr37t1j/PjxrFu3DlNTU71dh7dtwNaxHP3GTqZC1VrYl3OmSt1GODqX19Zp0LYzHV4aTpW6jXKMYWRkjI2dg066eOIoni3b57pta1atoE+/fvR9qT+Vq1Rh0tRpOLs4sylgg959LAkeQ7rEo36XeNTvEo/hXJkKpGfCpUuXspXFp2Qwbt0Z9l0I53ZkEv/ci2P+nqvUdi2Nc2lznbrJaRlEJqRqU3xKRrZ4CSlZdRISEkhISCiQ/uiLmsdI7R5B/RT65P1ZZGZmMnToUN5//33q1KmTp1iXAo9RvnINNiycgf/IPnwzeSQnft+Rp5j3blwm9NY1Grd/MVfXpaWmcvHCeVq0bK2T36JlK84Enc5Tm4qzx5Au8ajfJR71u8SjblcpCxMyFYWHyek6+T6eTvz+bis2jWnKxE5VsDIzznbtiJaV+P3d1owePZo2bdo80yVjpH6PITEyQCquqP6G1U8++QQTExPeeuutPMeKDgvh731badmtP+36DCH42kV2rvgaExNTGrTrolfMk/t3Uba8G5VqeHLh0p/P35aYaDIyMnB0dNTJd3QsQ0REuF5tKQkeQ7rEo36XeNTvEo96XWbGRkzoUJk9/zwgIfXflfU9/zzgXkwykfGpVClnzfj2lanmVIpx685o62z4O5hLofHEJacxxOU+HTt2xMSIp26dkTFSv0coGqh68n7y5Em+/PJLTp06lau9SykpKaSkpOjkpaeno2QquFapQefBWQ9rcvWoRljwLf7et02vyXtaagpn//gd777Dcn3tI/7bL0VRCmSfVnHzGNIlHvW7xKN+l3jU5TIx0uDfrzZGGg3zdl3RKfvldKj239fDE7gTmci6kU2o6VyKS/fjAVj/V7C2zun7p0lOTmbAgAHPte9dxkj9HkNQVNutBlT9rcKRI0cICwujUqVKmJiYYGJiwu3bt3n33Xdxd3d/4nX+/v7Y2trqpCNHjlDK3pFy5d106pYt70ZMRJhe7fvn+CHSUlJo0K5zrq+1t7PH2NiYiIgInfyoqEgcHcs84arcU9w8hnSJR/0u8ajfJR71uUyMNMzrVwdXO0vGrgvSWXXPiUv340nLyKSig9UT6wQHZ03mnzYdkzFSv0coGqh68j506FDOnj1LUFCQNrm6uvL++++zd+/eJ143depUYmNjdVKbNm1wq1GHiNC7OnUjQ4OxK+ukV/tOHthFzcYtsS5tl+trTc3MqFW7DseP/aGTf/zYMbzqN9CrPSXBY0iXeNTvEo/6XeJRl+vRxL2igyVvrg0iNin9mddUKWuNqbEREfEpT6zj7OwMZJ108yRkjNTvMSQaA6TiSqFvm4mPj+fatX/PUr958yZBQUE4ODhQqVKlbPu7TE1NcXZ2pkaNGk+MaW5ujrm57p3zJiYmtHyxP0s/Gs/BX9ZSt0V7gq9d5MTvO+g10ldbLzE+jtiIMOKisz7dRoRknd1e6v8nyzwi8v49bl88y9Ap8/Tu+9DhrzJtyiRqe3ri5dWAzT8GEBoaSv+Bg/SOWRI8hnSJR/0u8ajfJR7DujSAk1PWopSrnQXVnUoRl5RG+MNUPnmpDjWdbZgYcBZjjQZH66wz3mOT0kjPVKhgb4GPpzNHr0USk5hG5bJWvPNCVS6FPuTM3VgA6pYvTd0KpQm8FUN8Sjq1nWvTpUsXMp5jy4yMkfo9hkK2zehPoU/eAwMDad++vfa1r2/WRHr48OGsXLkyX10Vqtbk5Xc/Zt+GZRzcvBr7si68OHwc9du8oK1zKfAYPy/5RPs64MuPAWj/0nA69h+hzT95YBc2DmWoWq+x3u3p6vMisTHRLF2ymPDwMKpWq8433y7F1bX8sy8uwR5DusSjfpd41O8Sj+FcRhowM4YxY8YA8G7nagBsPxPKd4du4V2jLAAbRzXVuW7U6tOcvB1DWoZCEw97BjWtgJWZMQ/ikjl6NZKlh2+R+f9l9bSMTDrXLseotu6YGhsRH1uNU6dO0by1d773R1/UPEZq9wjqp9An797e3ijK075o0+XWrVt58tVs1IKajVo8sbyhd1caend9ZpzOg0dqb3zNCwMHD2Hg4CF5jlPSPIZ0iUf9LvGo3yUew7gyFUhOh0/mzARgm1FbnfJGHx946vUP4lIYtfrpRw9euh/PiBWntK97Zh4GeK7JO8gYFQWPIVD1vm2VIz87QRAEQRAEQSgiFPrKuyAIgiAIglCykD3v+iMr74IgCIIgCIJQRJCVd0EQBEEQBMGgyLq7/sjKuyAIgiAIgiAUETRKbo56KcLMnDmzsJsgCIIgCIJQKPj5+RV2E3TYeu5+gTt61XUucEdhICvvgiAIgiAIglBEKFF73mv1yvu57E/j4tZlAEyeVvCfbh+d4VvQLvGo3yUe9bvEo35XcfXsMGlXoB6A7umHgOL3sysunsddasJIdr3rjay8C4IgCIIgCEIRoUStvAuCIAiCIAiFjxzzrj+y8i4IgiAIgiAIRQRZeRcEQRAEQRAMikb2vOtNoa+8Hz58mB49euDq6opGo2HLli065SNGjECj0eik5s2b6+2Liwrnx6/nMPf1Xswa2pVvJr3BvRuXAchIT2fvuu/4+r3XmDXMh/ljXuKnRXOJi4rIFufOlfP8MMuXWcN8mPNqd5bPnEh6enqu2xOwYR0+nTvQpEFdBvXvy6mTgXr3rSR5DOkSj/pd4lG/SzyGcWkAUyPw9fXFz8+PdtXLaMuMjTSMb1+ZDSMbc/j9Nux6qwUzetSkTCmzJ8b7clBdTkzz1okDsHVcc05M8+bENG/8/Pzw8/PD5DlnFCV9jIqCR1A3hT55T0hIwMvLi0WLFj2xTteuXQkNDdWmXbt26eVKin/Iso8mYGxswrCp85jw2Uq6Dn0TS6tSAKSlJhN68yre/Yby5rzvGOw7i8jQYNZ9Ok0nzp0r51k9dzJV6zVm9JzFjJn7Lc269EGTyw1ce3bvYv48f0aOepOAn7bQsGEjxo4eSWhIiF79KykeQ7rEo36XeNTvEo/hXBoNKJDj+6SFqRE1nUux/Ohthi4PZNJP56nkaMVnA+rmGGtw0wo87Ukw3x66SdcvjrFgwQIWLFhAemb+90df1DxGavcYCo2m4FNxpdAn7z4+PsyePZu+ffs+sY65uTnOzs7a5ODgoJfryLYN2DqWo+/YyVSoWgv7cs5UqdsIB+fyAFhYlWLEhwuo26I9ZV0rUbF6bbq9+hYhN64QE/FAG2f3qm9o7tOXtr1fxqmiB44uFfBs3g5jY+NctWfNqhX06dePvi/1p3KVKkyaOg1nF2c2BWzQq38lxWNIl3jU7xKP+l3iMZwrU4H0TLh06VK2soSUDMZvOMtvF8O5HZXEPyFxLNh7ldouNjiVNtepW62cNUOaVeDjHZef2LbElAwiE1JJSEggISGhQPqjL2oeI7V7BPVT6JP35+HgwYOUK1eO6tWrM3LkSMLCwvSKcynwGK6Va7Bx4QzmjezDN5NHEvj7jqdek5KYgEajweL/q/PxsdEEX7tIqdJ2LJ0+nnmj+rJ8xtvcvnQuV21JS03l4oXztGjZWie/RctWnAk6nbuOlSCPIV3iUb9LPOp3iUfdrlLmJmQqCvHJ/277NDcxYnbv2szfe5XIhNQnXjusZUX2vdOK0aNH06ZNm2e6ZIzU7zEkRmgKPBVXVH/Dqo+PD/3798fNzY2bN28yffp0OnTowMmTJzE3N392gMeIDgvhxL6ttOzWn7Z9hnDv2kV2rvgaYxNTGrTrkq1+Wmoqv25YSt1WHbGwss6K8SAUgP0/raLrK2Nwdq9K0OFfWfHxu/h07ULp0qWfry0x0WRkZODo6KiT7+hYhoiI8Fz1qyR5DOkSj/pd4lG/SzzqdZkZGzGuQ2X2/hNGQmqGNt/3haqcvRfH4SuRT7x244lgLt9/SFxyOoOdQunYsSMmRjx164yMkfo9QtFA9ZP3gQMHav/t6elJ48aNcXNzY+fOnU/capOSkkJKSopOXnp6OkqmgmuVGrwwOOtJq64e1QgLvsWJfduyTd4z0tPZ9OUslEyFHq9P1OYrStZfpiadutOwvY82zo1/TnHjxg3q16+fq/79d5+8oii53jtfEj2GdIlH/S7xqN8lHnW5jI00zOlTGyMNfLLnija/bTVHGrvb8cr3J596/Ya/g7X/Ph1ymuTkZAYMGPBc+95ljNTvMQRFtNmqQPWT9//i4uKCm5sbV69efWIdf39/Zs7UfRRwu3btKGXvSLnybjr5Zcu7cf6vIzp5GenpBHwxk+iwUF77aKF21R3Axj7rU2/ZCu7/iVOJhyE3n7sf9nb2GBsbExGhe5JNVFQkjo5lnnBV7iluHkO6xKN+l3jU7xKP+lzGRhr8+9bG1c6CseuCdFbdG7vbU8Hekv3v6W7P+KRfHYLuxjJmbVCOMYODsybzGrJumM0JGSP1e4SiQZHY8/44kZGR3L17FxcXlyfWmTp1KrGxsTqpTZs2VKpRh4jQuzp1I0KDsSvrpH39aOIeGRrMq9M/w8rGVqe+XVlnbOzLEBGSPY61tTXPi6mZGbVq1+H4sT908o8fO4ZX/QbPHaekeQzpEo/6XeJRv0s86nI9mrhXsrdi3PozxCbpHnG86tgdXl4WyCvf/5sAPt93jVnbs98E+whnZ2fgyRP3gupPYXoM6TJknwyFnDajP4W+8h4fH8+1a9e0r2/evElQUBAODg44ODgwY8YM+vXrh4uLC7du3eKDDz6gTJky9OnT54kxzc3Ns+2HNzExoeWL/Vn20XgO/bIWzxbtCb52kcDfd9BrpC8AGRkZbPzcj5CbV3ll0lwyMzN5GBMFgGUpG0xMTNFoNLTuMZD9P67E2a0KLu5VOX1oLxH37tCka/Z9809j6PBXmTZlErU9PfHyasDmHwMIDQ2l/8BBuYpT0jyGdIlH/S7xqN8lHsO6NICTU9ailKudBdWdShGblEbEw1Q+6VeHms6leCfgHMYaDY7WWWe8xyalkZ6pEJmQmuNNqvfjUgiJTQagbvnSeJYvzcnbMcQnp1PbqTZdunQh4zm2zMgYqd8jqJ9Cn7wHBgbSvn177Wtf36yJ9PDhw1myZAnnzp1j9erVxMTE4OLiQvv27QkICMDGxibXrgpVa/Lyux/z64ZlHNy8GruyLrw4fBxebV4AIC4ynEuBxwBYPHmkzrWvffQ5HnXqA9Cy20ukp6Wye/U3JMU/xNmtCiM+XEDi5eO5ak9XnxeJjYlm6ZLFhIeHUbVadb75dimuruVz3beS5DGkSzzqd4lH/S7xGM5lpAEzYxgzZgyQdfMpwI4z91l65Jb2YUvrRzbRuW70miBO3Yl5rjalZmTyQu1yjGzjjqmxhvjYqpw6dYrmrb3zvT/6ouYxUrvHUMgTVvWn0Cfv3t7eKE95CsTevXvz1VejUQtqNGqRY5l9OWc+DjjwXHHa9n6Ztr1f1sm7mMvJO8DAwUMYOHhIrq8r6R5DusSjfpd41O8Sj2FcmQokp8Mnc7Lu+9ph0k6nvMmcg7n2//eay/fjeW3lKe3r7umHAJ5r8g4yRkXBI6ibQp+8C4IgCIIgCCULI1l415sid8OqIAiCIAiCIOQXM2bMQKPR6KRHN2FD1pGcM2bMwNXVFUtLS7y9vTl//rxOjJSUFCZMmECZMmWwtramZ8+e2lOY8huZvAuCIAiCIAgGRWOA/3JDnTp1CA0N1aZz585py+bPn8/ChQtZtGgRJ06cwNnZmRdeeIGHDx9q60ycOJFffvmFjRs3cvToUeLj4+nevTsZGRk56fKEbJsRBEEQBEEQSjQmJiY6q+2PUBSFL774gmnTpmkfDrpq1SqcnJxYv349o0ePJjY2luXLl7NmzRo6deoEwNq1a6lYsSK//fYbXbrk7jTCZyEr74IgCIIgCIJBUds571evXsXV1RUPDw8GDRrEjRs3gKwjzO/fv0/nzp21dc3NzWnXrh3HjmWdUHjy5EnS0tJ06ri6uuLp6amtk59olKcd9VKM+O8TVwVBEARBEEoKfn5+hd0EHQ5cjixwR0v3UqSkpOjk5fQsoN27d5OYmEj16tV58OABs2fP5tKlS5w/f57Lly/TqlUr7t27h6urq/aaUaNGcfv2bfbu3cv69et59dVXs7k6d+6Mh4cH3333Xb72S1beBUEQBEEQBINiiD3v/v7+2Nra6iR/f/9sbfHx8aFfv37UrVuXTp06sXPnTiBre4y2vf9ZylcUJVvef3meOvpQova8e3R7rUDj39z5AwCTpxX8p9tHZ/gWtEs86neJR/0u8ajfVVw9v1p1KFAPQOfE/UDx+9kVF8/jrpLG1KlTtQ//fMR/V91zwtramrp163L16lV69+4NwP3793FxcdHWCQsL0z7J2NnZmdTUVKKjo7G3t9ep07Jly3zoiS6y8i4IgiAIgiAYFCNNwSdzc3NKly6tk55n8p6SksLFixdxcXHBw8MDZ2dn9u3bpy1PTU3l0KFD2ol5o0aNMDU11akTGhrKP//8UyCT9xK18i4IgiAIgiAIj/Pee+/Ro0cPKlWqRFhYGLNnzyYuLo7hw4ej0WiYOHEic+fOpVq1alSrVo25c+diZWXFyy+/DICtrS2vv/467777Lo6Ojjg4OPDee+9pt+HkNzJ5FwRBEARBEAxKbs9hL0iCg4MZPHgwERERlC1blubNm3P8+HHc3NwAmDRpEklJSYwdO5bo6GiaNWvGr7/+io2NjTbG559/jomJCQMGDCApKYmOHTuycuVKjI2N8729hb5t5vDhw/To0QNXV1c0Gg1btmzJVufixYv07NkTW1tbbGxsaN68OXfu3NHLFxcVwdbF/iwc3YdPXu3GsqmjCb15RVs+Z0inHNOfOwK0dU7t38Ga2b58+npP5gzpRHJCvF5tAQjYsA6fzh1o0qAug/r35dTJQL1jlSSPIV3iUb9LPOp3iccwLg1gagS+vr74+fnRpqqjtszYSMObbd1ZPaIhv73dkq1vNuXDF6tTxtpMJ4apsYZ3OlZh57jm/PZ2Sz7pU5uypXTr2JibMP3F6ux9qwWTJ0/W7gvO7/7kBbWOkb6cDDzBhLFj6OTdGq86Ndj/+2/57jAkajoqcuPGjYSEhJCamsq9e/fYvHkztWvXfqytGmbMmEFoaCjJyckcOnQIT09PnRgWFhZ8/fXXREZGkpiYyPbt26lYsWJ+/bh0KPTJe0JCAl5eXixatCjH8uvXr9O6dWtq1qzJwYMHOXPmDNOnT8fCwiLXrqSEh6ye+TZGxiYMnOTP6PnL6TRkNBZWpbR13v5mk07qPuo90Gio2bSNtk56SgpV6jWhVa/Bue/wY+zZvYv58/wZOepNAn7aQsOGjRg7eiShISF5ilvcPYZ0iUf9LvGo3yUew7k0GlCAXbt2ZSuzMDGihlMpVv55h9dWn+aDLRepZG/JJ31r69R7u0MV2lZzxG/HJd7ccAZLU2M+7VcHo8cmQ37da1CtXCl8f/qHdevW4ezsjOlzzChkjPQnKSmRGjVqMGXaR/kaVyh6FPrk3cfHh9mzZ2ufWvVfpk2bxosvvsj8+fNp0KABlStXplu3bpQrVy7Xrj+3b6S0Y1l6jH6f8lVqYlfWGQ/Phtg7/XtuZyk7B5105eQx3GvXx77cv3Wa+vSjZc/BlK9aK/cdfow1q1bQp18/+r7Un8pVqjBp6jScXZzZFLAhT3GLu8eQLvGo3yUe9bvEYzhXpgLpmXDp0qVsZQmpGUz88R/2X47gTnQS50MfsvD369R0tsHJJusmPmszY7rXdWLRgRsE3o7halgCs3ZepnIZaxq72QHg5mBJi8oOzNt7lfMhDwkODmb79u0YG/HMjRAyRvrTuk07xr/9Dp1e6PzsykUAjQFScaXQJ+9PIzMzk507d1K9enW6dOlCuXLlaNasWY5ba56Hqyf/xMWjOpu/nMXnb77E9x+M5vT+nU+sHx8bzbWgv/Bq11XPHjyZtNRULl44T4uWrXXyW7RsxZmg0+JRgUs86neJR/0u8ajbVcrchExF4WFKOgA1nEthamzE37ditHUiElK5EZFA3fKlAfB0Lc3D5HQuhD7U1rl37x6Kgs7qfGH0x5AeQ7sE4RGqnryHhYURHx/PvHnz6Nq1K7/++it9+vShb9++HDp0KNfxosNDOfn7dhycyzN4sj8NO/bg19XfcPbIrznWP3f4V8wsrKjZpE2O5XkhOiaajIwMHB0ddfIdHcsQEREuHhW4xKN+l3jU7xKPel1mxll74PddDCcxNSMrtrUZqemZ2sm8ti2JaTj8f2+8o7UZ0Ymp2eI963HtMkbC4xhpNAWeiiuqPm0mMzMTgF69evHOO+8AUL9+fY4dO8a3335Lu3btcrwuJSUl2yNq09PTUTIVXCpXp/3A1wFwdq9GePAtTv22nXptsn8NdebQHjxbdcDEzCxbWX6hzxO7xGNYl3jU7xKP+l3iUZfL2EjDzB410Wg0LNh37dltgGfPzp8TGSNByBuqXnkvU6YMJiYmOnf8AtSqVeupp83k9DjcI0eOUMrOgTLl3XQd5SsRGxmWLcadS+eIDL1Lfe8X86cz/8Hezh5jY2MiIiJ08qOiInF0LCMeFbjEo36XeNTvEo/6XMZGGj7uWRMXWwsmbjqnXXUHiExIxczECBtz3bU9OytTov6/2h6ZkIq9VfZFrWdNVWWMhMeRPe/6o+rJu5mZGU2aNOHy5cs6+VeuXNGevZkTU6dOJTY2Vie1adOGitXrEBV6V6duVGgwtmWcssU4c3A3zh7VcXKrkj+d+Q+mZmbUql2H48f+0Mk/fuwYXvUbiEcFLvGo3yUe9bvEoy7Xo4l7RTtLJm76h7hk3e0xl+/Hk5aRSRN3O22eo7UplctYc+5eHAD/hMRhY2FCLed/T2orX748Gk3WDbOG7E9hegztEoRHFPq2mfj4eK5d+/cru5s3bxIUFISDgwOVKlXi/fffZ+DAgbRt25b27duzZ88etm/fzsGDB58Y09zcPNvjb01MTGjq049VM9/mj63rqdWsHSHXL3H6wC5efP0dnbopiQlc/PswHV8enXObY6KIj4ki6kHWMVBhd29iZmFJSkrKcz129xFDh7/KtCmTqO3piZdXAzb/GEBoaCj9Bw567hgl0WNIl3jU7xKP+l3iMaxLAzg5ZS1KudqaU62cNXFJ6UTEpzCnZy2qO5Vi0s/nMTICB2tTAOKS0knPVEhIzWDHuQeM965MbFI6cclpjPeuzI2IBAJvxwBwOyqJP29EMblLNT799Rrlk8vTo0cPMjKfvbNGxkh/EhMSdHYd3AsO5tLFi9ja2uLi6vqUK1VKcV4aL2AKffIeGBhI+/btta99fX0BGD58OCtXrqRPnz58++23+Pv789Zbb1GjRg02b95M69atnxTyibhWqclLE2dyIOB7jvyyBruyLrzwypt4tuqoU+/88QMoikKdlu1zjHPq9+0c+XmN9vWaj7Mm/82bN6dy5crP3Z6uPi8SGxPN0iWLCQ8Po2q16nzz7VJcXcvnum8lyWNIl3jU7xKP+l3iMZzLSANmxjBmzBgA3uqQ9e3xrn8esPyP27SplnVj5aoRDXWuG7/xLKfvxgLw1f7rZGQqfNyzJuYmRgTejmHO7ss6q+ozd17mnY5V+Ly/JybU4vLly9g6Zv8WO6/90Rc1j5G+nD//D2+8Okz7esF8fwB69urDx3Pn5atLUDeFPnn39vZGUZ7+Wf21117jtddeyxdftYbNqdaw+VPrNOzQnYYduj+xvG2/4bTtNzxb/s2dP+S6PQMHD2Hg4CG5vq6kewzpEo/6XeJRv0s8hnFlKpCcDp/MmQnAr1YddMpbfXrkmTFSMxQ+//06n/9+/Yl1HianM2tn1pbWzon7AZhcu95ztbGkj5G+NGnajDPnLz+7YhFBI0vveqPqPe+CIAiCIAiCIPxLoa+8C4IgCIIgCCULOUlTf2TlXRAEQRAEQRCKCLLyLgiCIAiCIBgUWXjXH1l5FwRBEARBEIQigqy8C4IgCIIgCIZFlt71RqM865zGYsLMmTMLuwmCIAiCIAiFgp+fX2E3QYcTN2ML3NHEw7bAHYWBrLwLgiAIgiAIBkXOedefEjV5f3fKRwUa/7N5swCYPK3gP90+egBHQbvEo36XeNTvEo/6XcXVM29LeIF6AKb0LgsUv59dcfE87hKKByVq8i4IgiAIgiAUPnLOu/7IaTOCIAiCIAiCUESQlXdBEARBEATBoMjCu/4U+sr74cOH6dGjB66urmg0GrZs2aJTrtFockyffvppnt0/BmxgYL+etG3RiLYtGjHilYH8ceSwtjwyMgK/D6fQpWMbWjatz/gxb3Dn9q08ex8nYMM6fDp3oEmDugzq35dTJwPzNX5x9RjSJR71u8Sjfpd4DOPSAKZG4Ovri5+fHz286+mUW1ua8fnk/lzb8zFRfy7k9OYPGdm/tU6dr6cN4vw2P6L+XMid/f5s+nwU1d2ddOr8+MVoruyaRfTxz/H19aV3794F0p+8oNYxKgoeQd0U+uQ9ISEBLy8vFi1alGN5aGioTvrhhx/QaDT069cvz24nJycmTHyXNRt+Ys2Gn2jStDm+b4/j+rWrKIrCu2+P415wMAu/XMz6gJ9xcXXlzVGvkZSYmGc3wJ7du5g/z5+Ro94k4KctNGzYiLGjRxIaEpIv8Yurx5Au8ajfJR71u8RjOJdGAwqwa9euHMvnv9ePF1rW5tVpq6nfdzZfrzvAwkn96e5dV1vn9MW7jJqxlvp9Z9Nz7DdoNBp2LB6HkdG/a6WHT1zhlck/4NVnFps2bcLBwQEz4/zvj76oeYzU7jEYGgOkYkqhT959fHyYPXs2ffv2zbHc2dlZJ23dupX27dtTuXLlPLvbenegdZt2uLl74Obuwbi33sHKyopzZ89w5/Ytzp09w9QP/ajjWRd3j8pMmeZHUmICe3bvzLMbYM2qFfTp14++L/WncpUqTJo6DWcXZzYFbMiX+MXVY0iXeNTvEo/6XeIxnCtTgfRMuHTpUo7lzep5sHbHXxw5eZU7oVH88PMfnL1yj4a1K2nr/PDzH/xx6jp3QqMIuhTMzG+2U9HFATdXR22dr9cd4O9zt7gTGk1wcDBHjx59rrmSjJH6PYL6KfTJe2548OABO3fu5PXXX8/32BkZGezdvZOkpETqedUnNTUVADNzc20dY2NjTEzNCDp9Ms++tNRULl44T4uWul9XtmjZijNBp/Mcv7h6DOkSj/pd4lG/Szzqch0LukH3dnVxLZv18Jq2jatRza0cvx27mGN9KwszhvVszs3gCILvR+dYx8LCgrp16/KsJz7KGKnfY0g0BvivuFKkblhdtWoVNjY2T1yl14erVy7z6tDBpKamYGllxYIvFlG5SlXS0tJwcXVl0ZcLmfbRTCwtLVm7eiWREeFEROT93NzomGgyMjJwdHTUyXd0LJMv8Yurx5Au8ajfJR71u8SjLte7n/zI4o9e5vqvc0hLyyBTyeTNWes5FnRDp96o/m2YM7E3pazMuXTjPt3eXERaeoZOndlv9WLMoLZYW5pz9+5dUnWLDdKfwvQY0mXIPgnqp0hN3n/44QeGDBmChYXFU+ulpKSQkpKik5eenp5jXXcPDzb8+AsPH8bx+2+/4vfhFJb9sIbKVary6cKvmOX3Ie1bN8PY2JimzVrQqnXbfOsPZN2Q+ziKomTLE0/husSjfpd41O8Sjzpc4wZ707SuO/3e/pY7oVG0bliVL6cO5H5EHAf+uqytt3H3CX7/6xLOZUozcVgn1n7yGh1eXUhK6r/vpZ+v/o2VW/5k0ksetGvXDlMjSMs0bH/U4DGky5B9KmiKaLNVQZGZvB85coTLly8TEBDwzLr+/v7MnKn7NLF27doxOYe6pqZmVKzkBkDtOnW58M8/bFi3mmkfzaJWbU82/LiFhw8fkp6Whr2DA8NeHkDtOp557o+9nT3GxsZERETo5EdFReLoWCbP8Yurx5Au8ajfJR71u8SjHpeFuSkzJ/RgoO8y9hw9D8A/V0OoV6MCE4d21Jm8x8UnExefzPU74fx99hahh+fTq4MXm/b8u200MiaByJgEbtxQCA8Px9fXl/RMnrh9RsZI/R6haFBk9rwvX76cRo0a4eXl9cy6U6dOJTY2Vie1adPmuTyKomj3uz/CxsYGewcH7ty+xcUL/9CufQe9+vA4pmZm1Kpdh+PH/tDJP37sGF71G+Q5fnH1GNIlHvW7xKN+l3jU4zI1McbM1IRMRXd6nZGRqXOSTE5o0GBm+uT1vkerv09bTZUxUr/HkMhhM/pT6Cvv8fHxXLt2Tfv65s2bBAUF4eDgQKVKWXe/x8XF8eOPP/LZZ589V0xzc3PMH7vRFMDEJHtXF325kFat2+Lk7ExCQgK/7tnFycC/+XrJMgD2/boHe3t7nF1cuXb1Cgs+mYN3+47ZbhjRl6HDX2XalEnU9vTEy6sBm38MIDQ0lP4DB+VL/OLqMaRLPOp3iUf9LvEY1qUh6yhkAPfyjtSrXp7ouETu3o/mcOBV5k7sTVJyGndCo2jTqCpDujdl8sKftfVf6tKI3/+8SER0PK7l7Hh3RCeSUtLY+//V+sZ13Gjs6cax09eJeZiIu7s73t7eZCpZp93kd3/0Qe1jpGaPoH4KffIeGBhI+/btta99fX0BGD58OCtXrgRg48aNKIrC4MGD89UdFRXJ9GmTiAgPp1QpG6pVr8HXS5bRvEUrACLCw/j803lERkZSpmxZuvXoxcjRb+abv6vPi8TGRLN0yWLCw8OoWq0633y7FFfX8vnmKI4eQ7rEo36XeNTvEo/hXEYaMDOGMWPGAFnnugOs2XacUX5rGTblB2ZN6MXKucOxL23FndAoZnyzg2U/HgUgJTWdVg2qMP5lb+xLWxEW+ZCjp67RfsRnhEfHA5CUkkavDl58OKYb1pZmJCXGc/36dZzKu+V7f/RFzWOkdo/BKM5L4wVMoU/evb29UZSnf1QfNWoUo0aNynf3RzPnPLV88JBhDB4yLN+9jzNw8BAGDh5SoI7i6DGkSzzqd4lH/S7xGMaVqUByOnwyJ+u+r3lbdE8ieRD5kNEz1j7x+tDwWPpMWPJUx/lrIfiM/lr7ekrvsgB41m/8XG0s6WNUFDyCuin0ybsgCIIgCIJQsijO57AXNEXmhlVBEARBEARBKOnIyrsgCIIgCIJgUOScd/2RybsgCIIgCIJgUGTurj+ybUYQBEEQBEEQigga5VlHvRQT/vvEVUEQBEEQhJKCn59fYTdBh3/uxRe4w7N8qQJ3FAay8i4IgiAIgiAIRYQStee9cb/8e8BSTgRuzjobd/K0gv90++gM34J2iUf9LvGo3yUe9buKq2dTaosC9QAMMPsTKH4/u+LiedylJuSoSP2RlXdBEARBEARBKCKUqJV3QRAEQRAEofCRoyL1R1beBUEQBEEQBKGIICvvgiAIgiAIgkGRhXf9KfSV98OHD9OjRw9cXV3RaDRs2bJFpzw+Pp7x48dToUIFLC0tqVWrFkuWLNHLtSfgB3z7tdFJfq/30pZv+HpOtvIvpozWiRFx/x4/fPIB01/tztRXurBqwUc8jInSqz0AARvW4dO5A00a1GVQ/76cOhmod6yS5DGkSzzqd4lH/S7xGMalAUyNwNfXFz8/PzrUKqtTPrZDFbZPbMUJv44c+7A937/aiLoVbHXq9G9SnhWvN+av6R04P6czNhbZ1/kWvVKf395vw6kZHfH19aV3794F0p+8oNYxKgoeQd0U+uQ9ISEBLy8vFi1alGP5O++8w549e1i7di0XL17knXfeYcKECWzdulUvn3NFD2Z8v0Wb3l+4Uqe8ZoNmOuUjp32qLUtJTuK7Wb5oNBrenPElE+YsJiM9je/9p5CZmZnrtuzZvYv58/wZOepNAn7aQsOGjRg7eiShISF69a2keAzpEo/6XeJRv0s8hnNpNKAAu3btyrH8dkQCc7ZfpM9Xxxi69G/uxSSx7NWG2FuZautYmBrzx9UIlh268cR2/X0jCt+NZ+n2xR9s2rQJBwcHzIzzvz/6ouYxUrvHYGgMkIophT559/HxYfbs2fTt2zfH8j///JPhw4fj7e2Nu7s7o0aNwsvLi8BA/T5tGhkbU9reUZtK2drrlJuYmOqUW9uU1pbdunSOqPD7DB7/Aa5uVXB1q8Kg8R9w99pFrp07leu2rFm1gj79+tH3pf5UrlKFSVOn4ezizKaADXr1raR4DOkSj/pd4lG/SzyGc2UqkJ4Jly5dyrF859n7HL8eRXB0EtfDEpi/6zI2FqZUd7b513nsDt8fvsWZu7FPbNfqY3c4ezeW0JhkgoODOXr06HPNlWSM1O8R1E+hT96fRevWrdm2bRv37t1DURQOHDjAlStX6NKli17xIkKDmfFGb2a/OYDVC/2IvK/7ifXa+SA+erUH/uMHE7DkEx7GRmvL0tPS0KDBxPTfFQoTUzM0RkbcuHQ2V+1IS03l4oXztGjZWie/RctWnAk6rUfPSobHkC7xqN8lHvW7xKNel6mxhv5NKhCXlMbl+w/1jmNhYUHdunV51uPaZYzU7zEkGgP8V1xR/Q2rX331FSNHjqRChQqYmJhgZGTE999/T+vWrZ998X9wq1abwROmUda1IvEx0ezbvIqvpr3JpC9WY21jS82GzfFq2R77ss5EPQhl98bvWeL3Nr6ffo+JqRlu1WtjZmHB9jXf0m3IKBRFYceab1EyM4mLjqRM2ed/DG90TDQZGRk4Ojrq5Ds6liEiIjzXfSspHkO6xKN+l3jU7xKP+lztapRhwcB6WJgaEx6fwsgVJ4lJTMt1HN8u1RjcvBJWZp25e/cuqRlPry9jpH6PUDQoEpP348ePs23bNtzc3Dh8+DBjx47FxcWFTp065XhNSkoKKSkpOnnp6enUatj83ww3cKtRh7njBnHiwG68ew6iQauO2mKXSpWpWLUGH4/pz4WTf1KveTtK2doz/N1Z/LT0M47u+gmNxogGrTtSoXJ1jIz0+xJD85+DThVFyZaXHxQ3jyFd4lG/Szzqd4lHPa6/b0TTb9Gf2Fmb8VLj8nw2yIvB3/5FVEJqruL8cOQWmwPvMbjsTdq1a4epEaQ9x+1fMkbq9xiCItpsVaDqyXtSUhIffPABv/zyC926dQOgXr16BAUFsWDBgidO3v39/Zk5U/dRwO3ataP5wAk6eeYWlrhUqkxEaHCOcUrbl8G+jDPhj5XXqN+UaYsDiI+LwdjYGEtrG/xe74VDORfIePL+wP9ib2ePsbExEREROvlRUZE4OpZ57jglzWNIl3jU7xKP+l3iUZ8rKS2DO1FJ3IlK4uzdWHa904q+jcrz/eGbuYoTk5hGTGIaNx7eIDw8HF9fX9IzeeL2GRkj9XuEooGq97ynpaWRlpaWbVXb2Nj4qae7TJ06ldjYWJ3Upk2bbPXS01J5EHwbG3vHHKJAwsNYYiLDKJ1DeanSdlha23D13EniY6PxbJK7bTymZmbUql2H48f+0Mk/fuwYXvUb5CpWSfIY0iUe9bvEo36XeNTv0mg0mJnkbTrwaPX3aaupMkbq9xgSOWxGfwp95T0+Pp5r165pX9+8eZOgoCAcHByoVKkS7dq14/3338fS0hI3NzcOHTrE6tWrWbhw4RNjmpubY25urpNnYmLCtlXfULtxS+zLOBEfG82+n1aTnJRAE28fUpIS2btpBfWat6O0vSNRYffZtX4p1ja21G3WVhvn7/07KVfBnVKl7bh1+R+2/PAVbbsPoFz5StzJZd+HDn+VaVMmUdvTEy+vBmz+MYDQ0FD6DxyUy0gly2NIl3jU7xKP+l3iMaxLAzg5OQFQwd6Smi42xP5/lXyUtwcHLoUT/jAFOytTBjWriFNpc/b+c197fZlSZpSxMaeSoxUA1ZxKkZiaQWhMErFJ6dStUJq6FWw5dTuG2KQ03Mu54+3tTaaSddpNfvdHH9Q+Rmr2COqn0CfvgYGBtG/fXvva19cXgOHDh7Ny5Uo2btzI1KlTGTJkCFFRUbi5uTFnzhzGjBmTa1dMZBhrP59JwsNYrEvb4VatDm/7f4tDOWdSU1IIvX2dwIN7SEqMp7SdI1U9GzDUdwYWllbaGGH37rJz3VIS4+NwKOtMp35DaddjoF597+rzIrEx0Sxdspjw8DCqVqvON98uxdW1vF7xSorHkC7xqN8lHvW7xGM4l5EGzIzRvkdO7lYTgC2n7jFz60U8ylrTq6Er9lZmxCSm8s+9OIYtO8H1sARtjAFNKzKuYxXt6zWjmgIw7ad/2HI6hOS0TDrVdmJcxypYmhqTGF+X69ev41TeLd/7oy9qHiO1ewxGcV4aL2AKffLu7e2Nojz5o7qzszMrVqzIF9cw35lPLDMzN2f0R09ezX9E96Fj6D409x8cnsTAwUMYOHhIvsUrKR5DusSjfpd41O8Sj2FcmQokp8Mnc7Le7zalttApn7j+zDNjLN5/ncX7rz+x/OqDeF774d9nrQww+xMAz/qNn6uNJX2MioJHUDeFPnkXBEEQBEEQShbF+Rz2gkbVN6wKgiAIgiAIQkHi7+9PkyZNsLGxoVy5cvTu3ZvLly/r1BkxYgQajUYnNW/eXKdOSkoKEyZMoEyZMlhbW9OzZ0+Cg3M+0TAvyORdEARBEARBMCgaTcGn5+XQoUOMGzeO48ePs2/fPtLT0+ncuTMJCQk69bp27UpoaKg27dq1S6d84sSJ/PLLL2zcuJGjR48SHx9P9+7dych4xhPMcolsmxEEQRAEQRBKLHv27NF5vWLFCsqVK8fJkydp2/bfEwfNzc1xdnbOMUZsbCzLly9nzZo12ucQrV27looVK/Lbb7/RpUuXfGuvrLwLgiAIgiAIBkXN57zHxmY9dNPBwUEn/+DBg5QrV47q1aszcuRIwsLCtGUnT54kLS2Nzp07a/NcXV3x9PTk2LFjeWhNdjTK0456KUb894mrgiAIgiAIJQU/P7/CboIO18OSCtxRwdaIlJQUnbycngX0OIqi0KtXL6Kjozly5Ig2PyAggFKlSuHm5sbNmzeZPn066enpnDx5EnNzc9avX8+rr76azde5c2c8PDz47rvv8q1fsvIuCIIgCIIgGBYDLL37+/tja2urk/z9/Z/arPHjx3P27Fk2bNigkz9w4EC6deuGp6cnPXr0YPfu3Vy5coWdO3c+NZ6iKNonEOcXJWrPu22HYQUaP3b/agAmTyv4T7ePzvAtaJd41O8Sj/pd4lG/q7h6jpXtWqAegJbhWfuFi9vPrrh4HneVNKZOnap9+OcjnrbqPmHCBLZt28bhw4epUKHCU2O7uLjg5ubG1atXgaznEqWmphIdHY29vb22XlhYGC1btsxDL7IjK++CIAiCIAiCQdEY4D9zc3NKly6tk3KavCuKwvjx4/n555/Zv38/Hh4ez2x/ZGQkd+/excXFBYBGjRphamrKvn37tHVCQ0P5559/8n3yXqJW3gVBEARBEAThccaNG8f69evZunUrNjY23L9/HwBbW1ssLS2Jj49nxowZ9OvXDxcXF27dusUHH3xAmTJl6NOnj7bu66+/zrvvvoujoyMODg6899571K1bV3v6TH4hk3dBEARBEATBoOTzNvA8sWTJEgC8vb118lesWMGIESMwNjbm3LlzrF69mpiYGFxcXGjfvj0BAQHY2Nho63/++eeYmJgwYMAAkpKS6NixIytXrsTY2Dhf21vo22YOHz5Mjx49cHV1RaPRsGXLFp3yBw8eMGLECFxdXbGysqJr167a/UW5Ze3kYSx5o2u2dHjdIgD2/7AgW9nmuRO11yfHP+TI+sWsn/Y6y8b2Ys2koRxdv5iUxIQnGJ9NwIZ1+HTuQJMGdRnUvy+nTgbqHaskeQzpEo/6XeJRv0s8hnFpAFMj8PX1xc/PjxYe9jrlrSrbM6d7DTa92pC9Y5tR2dFKp9zG3Jixrd34fnA9to5szJqh9XmztRtWZrqTj1LmxrzfsQo/v96IyZMn07t37wLpT15Q6xgVBU9JQ1GUHNOIESMAsLS0ZO/evYSFhZGamsrt27dZuXIlFStW1IljYWHB119/TWRkJImJiWzfvj1bnfyg0CfvCQkJeHl5sWjRomxliqLQu3dvbty4wdatWzl9+jRubm506tQp21Ovnod+H37F8M/Wa1MP37kAVGnURlunomdjnTrd3vr437bGRpIQE0nL/iMZMGMJ7V99lzvnT3Jw1ed69Bz27N7F/Hn+jBz1JgE/baFhw0aMHT2S0JAQveKVFI8hXeJRv0s86neJx3AujQYUyPbkx0dYmBhz4X48Pxy/m2O5g7UZjtZmLDt2hzEB51iw/waNK9ni276yTr0pnapSpYwV03ZcZt26dTg7O2P6HDMKGSP1ewyFms95VzuFPnn38fFh9uzZ9O3bN1vZ1atXOX78OEuWLKFJkybUqFGDxYsXEx8fn+0In+fB0sYOK1sHbbp19m9Kl3XBtUY9bR1jE1OdOhal/v06xLG8O13HTse9fnNsy7lSoVZ9mvUZzq0zf5Gpx6Nv16xaQZ9+/ej7Un8qV6nCpKnTcHZxZlNA7vtWkjyGdIlH/S7xqN8lHsO5MhVIz4RLly7lWP77lQjWBd7jdHBsjuW3o5L4eO9V/rodQ2hcCmfuxbHyr2Caudth9P/ZUEV7C5q42fH5gRtcfBBPcHAw27dvx9jo2RMmGSP1ewT1U+iT96fx6KB7CwsLbZ6xsTFmZmYcPXo0T7Ez0tO4enw/NVt30Tl/M+TyWVa8M5D1017n4KovSIyLeXobExMws7DCKJf7mdJSU7l44TwtWrbWyW/RshVngk7nKlZJ8hjSJR71u8Sjfpd4iobraVibGZOYmkHm/x/pWMvJhviUdC6H/fsN+L1791AUtBP8nJAxUr/HoMjSu96oevJes2ZN3NzcmDp1KtHR0aSmpjJv3jzu379PaGhonmLfPP0nKYnx1Gz1gjavkmcTOo2cRM/3PqFl/5GE3brCtgWTyUhLzTFGcnwcJ3dsoHY7n1z7o2OiycjIwNHRUSff0bEMERHhuY5XUjyGdIlH/S7xqN8lnqLhehI25ia83Lg8u87/+xh4BytTYpLSstV91uPaZYzU7xGKBqo+bcbU1JTNmzfz+uuv4+DggLGxMZ06dcLH5+mT5ZSUlGyPp01PT9d5fenoHip5NsHa7t9fhKpN22n/7VjenbLu1Vg7eTi3z/5N5Ua6n3ZTkxLY+dVH2LtWonGPV/TtYranbhXEk7iKo8eQLvGo3yUe9bvEUzRcj2NlaszH3WpwJyqJtYH3/tMG/ePKGKnfYwg0xXlpvIBR9co7ZB16HxQURExMDKGhoezZs4fIyMinHqCf0+Nwjxw5oi1/GPmA4AtB1Grz9CfPWds5YuNYjtgw3ZtBUpMT2fHFh5iaW9B13EcYm+T+M5C9nT3GxsZERETo5EdFReLoWCbX8UqKx5Au8ajfJR71u8RTNFz/xdLUiDk9apCclsHMPVfIyPx3th6VmIa9lWm2a541FZMxUr/HkGg0BZ+KK6qfvD/C1taWsmXLcvXqVQIDA+nVq9cT606dOpXY2Fid1KbNvyfKXDr6K5albXGr1/SpzuT4OOKjwrGyddDmpSYlsGPhBxgbm+AzfgYmpmZ69cfUzIxatetw/NgfOvnHjx3Dq34DvWKWBI8hXeJRv0s86neJp2i4HsfK1Ji5PWqSlqHgt/sKaRm6y+wXHzyklLkJNcpZa/PKly+PRgOZT1mRlzFSv0coGhT6tpn4+HiuXbumfX3z5k2CgoJwcHCgUqVK/Pjjj5QtW5ZKlSpx7tw53n77bXr37k3nzp2fGNPc3Dzb429N/r86rmRmcumPfdRo8YLOTaZpyUmc2LaWyo1aYWXrwMOIB/z1y0osbGzxaJj1WNvU5ES2fz6N9JRkOr4xibTkRNKSEwGwsLHNdd+HDn+VaVMmUdvTEy+vBmz+MYDQ0FD6DxyU61glyWNIl3jU7xKP+l3iMaxLAzg5OQHgbGNOZUcrHqakEx6fio25MWVLmeNonbVyXtE+60CI6MQ0opPSsDQ1Ym6PmpibGjH/tytYmRpjZZr1XhmbnEamAnejkzlxO4aJ3h58eegW5c3K06NHDzIyn73vXcZI/R5DUYwXxgucQp+8BwYG0r59e+1rX19fAIYPH87KlSsJDQ3F19eXBw8e4OLiwrBhw5g+fbrevuCLp4mPCqNma93Jv8bIiKh7N7n852+kJiZgZetA+Zr16Dz6A8wssh5iEX7rKmE3so7fWv/BazrXD5m3Mtdt6erzIrEx0Sxdspjw8DCqVqvON98uxdW1vH6dKyEeQ7rEo36XeNTvEo/hXEYaMDOGMWPGADCmtRsAv14K57P9N2jubs97Hato63/QuRoAa04Es/bEPaqVtaaWcykAVr5SXyf2sDWnefAw6wCHT367xptt3JnboyYmSlUuX76MraNTvvdHX9Q8Rmr3COqn0Cfv3t7eKE+58+Wtt97irbfeyjdfxTqNePP7PdnyTczM6f7O3KdeW76mV47XPiLnU3OfzsDBQxg4eIgeV5ZsjyFd4lG/Szzqd4nHMK5MBZLT4ZM5MwE4Vlb33q59lyPYdzkip0sBOBvykC6L/3qm52FKBvN/uw5Ay/Cs98XJtes97RItJX2MioLHEBTnPekFTZHZ8y4IgiAIgiAIJZ1CX3kXBEEQBEEQShqy9K4vsvIuCIIgCIIgCEUEWXkXBEEQBEEQDIrsedcfWXkXBEEQBEEQhCKCrLwLgiAIgiAIBkUW3vVHozztnMZixMyZMwu7CYIgCIIgCIWCn59fYTdBh5CY1AJ3uNqZFbijMJCVd0EQBEEQBMGgyJ53/SlRk/fh4yYXaPxV33wCwORpBf/p9tEDOAraJR71u8Sjfpd41O8qrp55JxwL1AMwpUkkUPx+dsXF87hLKB6UqMm7IAiCIAiCUPhoZNe73shpM4IgCIIgCIJQRJCVd0EQBEEQBMGwyMK73hT6yru/vz9NmjTBxsaGcuXK0bt3by5fvqxTR1EUZsyYgaurK5aWlnh7e3P+/PlcuzauXs6E11+md6cWDOjmzYwpE7l7+5a2PD09je8Xf87oof3o2bEZg3t2Yv7H04gMD9OJExUZwfxZHzCoRwd6dmzGuFcHcuTAPr36H7BhHT6dO9CkQV0G9e/LqZOBesUpaR5DusSjfpd41O8Sj2FcGsDUCHx9ffHz86NHc49sdWpUsOfH6d24HzCSsE2jOLTgJSqWLZVjvC0zepC0Y3y2OHbW5iz37cT9gJFMnjyZ3r17F0h/8oJax0gfNm1cz0t9etCyaUNaNm3I0JcHcvTIoXx1CEWHQp+8Hzp0iHHjxnH8+HH27dtHeno6nTt3JiEhQVtn/vz5LFy4kEWLFnHixAmcnZ154YUXePjwYa5cZ4MC6dF3IF8sXYP/F9+RkZHOB++MITkpEYCU5GSuXb7EyyNG8c0PAXw0dyH37tzGb/LbOnHmz5rG3Tu3mPHJl3y3ejOt2nVk7keTiIqKylV79uzexfx5/owc9SYBP22hYcNGjB09ktCQkFzFKWkeQ7rEo36XeNTvEo/hXBoNKMCuXbtyLPdwLs3v8/txJTiaLlN/oemEjfhvPEFyaka2uhN6eaGQ82nSK9/vTL3KZenlt51169bh7OyM6XPMKGSM9KOckzNvv/Me6zdtZv2mzTRt1py3x4/j2rWr+eYwNBoDpOJKoU/e9+zZw4gRI6hTpw5eXl6sWLGCO3fucPLkSSBr1f2LL75g2rRp9O3bF09PT1atWkViYiLr16/PlWvuwiV07tYL98pVqVKtBu9+MIuwB6FcvXwRAOtSNsz78jvadexCRTd3annWY6zvFK5evkDY/VBtnIvnz9DrpcHUrF0Xl/IVeHnEKKxL2RAdHZ2r9qxZtYI+/frR96X+VK5ShUlTp+Hs4symgA25ilPSPIZ0iUf9LvGo3yUew7kyFUjPhEuXLuVYPnNYc/YG3mLaimOcuRHBrQdx7Am8TXhskk69uh6OvNW7PmO+2J8tRo0K9nRp7MbYr/bz16X7BAcHs337doyNnj1hkjHSD+/2HWjTth3u7h64u3sw4e13sLKy4uyZoHxzCEWHQp+8/5fY2FgAHBwcALh58yb379+nc+fO2jrm5ua0a9eOY8eO5cmVkBAPgE3p0k+uEx+PRqPB2sZGm1enXgMO/b6XuLhYMjMzOfjbbtLSUilXrtxzu9NSU7l44TwtWrbWyW/RshVngk7nsiclx2NIl3jU7xKP+l3iUY9Lo4Gujd25GhLDtlk9ub32NQ5/9lK2LTGW5iaser8L73x7mAcxidniNKvlTEx8CieuPNDm3bt3D0UBo6fM3mWM8oeMjAx279pJUlIiXl4NCsRhCDSagk/FFVVN3hVFwdfXl9atW+Pp6QnA/fv3AXByctKp6+TkpC3T17X0qwXUqdcA98rVcqyTmpLCD0u+pP0LPlhb/7sfcNqs+WRkZNDfpy3dvZvw5fzZfDT3c2wem+A/i+iYaDIyMnB01D2D19GxDBER4fp1qgR4DOkSj/pd4lG/SzzqcZWztcLGyoz3XmrEvpO36TF9G9v+vMHGD16ktaertt78N1pz/GIoO/66mWMcJzurbCv1wBM22BRcfwrbY2jX1SuXad64AU0a1GXOLD8+/+obqlStmq8OoWigqtNmxo8fz9mzZzl69Gi2Ms1/PkIpipIt7xEpKSmkpKTo5KWnp+u8/mahPzevX+WzJStzjJGensZcv8koSibj35umU7Zy6SLiH8Yx78ullLa1488jB5gz/X3atW2DnZ3dM3qpf7/yQnHzGNIlHvW7xKN+l3gK32X0/2XxHcdv8vXWMwCcvRlBs1oujPTx5Og/IXRr6o63VwWavxXw1FiK8qyp+pORMdIPd3cPNm3ewsOHcfy271emfzCZ5SvXFtkJvJzzrj+qWXmfMGEC27Zt48CBA1SoUEGb7+zsDJBtlT0sLCzbavwj/P39sbW11UlHjhzRln+z0J8/jx5k/tfLKFsue4z09DTmTH+f+6H38P/iO51V95Dgu2zbvBHfqTNp0LgZVarV4JXXxlCtZm2uXLny3P21t7PH2NiYiIgInfyoqEgcHcs8d5yS5jGkSzzqd4lH/S7xqMcVEZdEWnoGF+/qHq5w+W4UFctmfXPs7VWBys623A8YycOtY3m4dSwAG6b6sNe/DwAPYhIpZ2eVLf6zpmIyRnnD1MyMSm5u1PGsy9vvvEv1GjVZt3Z1vjqEokGhT94VRWH8+PH8/PPP7N+/Hw8P3b13Hh4eODs7s2/fv0cxpqamcujQIVq2bJljzKlTpxIbG6uT2rRpg6IoLPpsLn8c+p35Xy3D2bVCtmsfTdzv3b3DvC++o7StnU55SkoyAEZGuj86YyOjXK1EmJqZUat2HY4f+0Mn//ixY3jVz789bMXNY0iXeNTvEo/6XeJRjystPZOTV8OoXt5OJ79aeTvuhGWd3rbgx1M0mbCBZm9t1CaASd8fZdQXvwHw18X72JUyp3H1f+/zKl++PBpN1g2zhupPYXsM7foviqKQlppaoI4CRY6b0ZtC3zYzbtw41q9fz9atW7GxsdGusNva2mJpaYlGo2HixInMnTuXatWqUa1aNebOnYuVlRUvv/xyjjHNzc0xNzfXyTMxMWHRZ3M5sG83M+Z9gaWVNVGRWZ+UrUuVwtzcgoz0dD6e9h7Xrlxk1vyvyczM1NaxKW2LqakpFd3cca1QiS/nf8zI8b6ULm3HsSP7OXXiOG3bts1V34cOf5VpUyZR29MTL68GbP4xgNDQUPoPHJTbH2OJ8hjSJR71u8Sjfpd4DOvS8O99Yu5OpannUYbo+GTuhsfz+c+nWTOpC0fPh3Do7D06N6rEi0096DL1FyBrVT2nm1Tvhj/k9oOsCf7l4Gj2Bt7mmwkdmLDoAOXLW9CjRw8yMp+9713GSD+++mIhrdu0xcnZmcSEBPbs3kXgib9Z/N33+eYQig6FPnlfsmQJAN7e3jr5K1asYMSIEQBMmjSJpKQkxo4dS3R0NM2aNePXX3/N1Q2iADt+2QTA++Nf18l/94NZdO7Wi/DwBxw/ehCAsSMG6NSZ//X3eDVsgomJKbMXLGL5ki/xm/QWSUmJuFaoxHsffsy96xdy1Z6uPi8SGxPN0iWLCQ8Po2q16nzz7VJcXcvnKk5J8xjSJR71u8Sjfpd4DOcy0oCZMYwZMwaA+SPbALDmt4uM+uJ3tv15gwmLD/J+/0Z8NqotV+5FM3jubo5dCM0x3pN4dcGvfDa6Lds/7oW5scLly5exdcx5K2te+qMvah4jfYiMjGDalEmEh4dRysaG6tVrsPi772nRslW+OQxNMV4YL3AKffL+PFtNNBoNM2bMYMaMGXly7f3jzFPLnV3KP7MOQPmKbnw0d2G2/FXf5G7yDjBw8BAGDh6S6+tKuseQLvGo3yUe9bvEYxhXpgLJ6fDJnJkAzDvhmK3O6n0XWb3v4nP7LbsvypYXHZ/Ca59lbWed0iQSgMm16z1XvJI+Rvow8+O5BRZbKHoU+uRdEARBEARBKFkU53PYC5pCv2FVEARBEARBEITnQ1beBUEQBEEQBIMi57zrj6y8C4IgCIIgCEIRQVbeBUEQBEEQBIMie971R6Pk5RnHRYiZM2cWdhMEQRAEQRAKBT8/v8Jugg7RiRkF7rC3Mi5wR2Eg22YEQRAEQRAEoYhQorbNDBs3uUDjr/7mEwAmTyv4T7ePzvAtaJd41O8Sj/pd4lG/q7h65gWWLVAPwJTG4UDx+9kVF8/jLqF4UKIm74IgCIIgCELhI3ve9Ucm74IgCIIgCIJBkaMi9Uf2vAuCIAiCIAhCEUFW3gVBEARBEASDIttm9KfQV979/f1p0qQJNjY2lCtXjt69e3P58mWdOj///DNdunShTJkyaDQagoKC9HJtXL2cCa+/TJ9OLRjYzZuZUyZy9/YtnTprli/hjcG96NWxGS91bc2Ut0dx6fxZnTqpqaksXujPgBfb0atjM/wmvUV42AO92hSwYR0+nTvQpEFdBvXvy6mTgXrFKWkeQ7rEo36XeNTvEo9hXBrA1Ah8fX3x8/OjR3OPbHVqVLDnxw99uL/xdcIC3uDQp32pWLaUtvzrce04v3QIUT+N4s7aV9k0zYfqFex0YtSvUoYds3oQuuF13n//fbp3714g/ckLah0jfdi0cT0v9elBy6YNadm0IUNfHsjRI4fy1SEUHQp98n7o0CHGjRvH8ePH2bdvH+np6XTu3JmEhARtnYSEBFq1asW8efPy5DoXFEiPvgP5fOka/L/4joyMdKa9M4bkpERtnQoV3RjrO5VvV29mweKVODm78sE7bxITHaWt892X8zl2eD9TZn7CZ0tWkpyUiN/7E8jMzMxVe/bs3sX8ef6MHPUmAT9toWHDRowdPZLQkJA89bO4ewzpEo/6XeJRv0s8hnNpNKAAu3btyrHcw7k0v3/ShyvBMXT5YCtN39qEf8BJklP/PXP79LVwRn25n/pjN9DTbzsaDeyY1QMjo6ylUhcHK3Z+3JProbG0fW8z69ato2zZspg+x4xCxkg/yjk58/Y777F+02bWb9pM02bNeXv8OK5du5pvDkOjMUAqrhT65H3Pnj2MGDGCOnXq4OXlxYoVK7hz5w4nT57U1hk6dCgfffQRnTp1ypNrzsIldO7WC/fKValcrQa+H8wi7EEoVy9f1NZp3/lFGjZpjkv5CrhXrsqot94jMSGem9ezfkES4h+yd8cvjBz/Lg2bNKdq9VpM+mgut25c5f79+7lqz5pVK+jTrx99X+pP5SpVmDR1Gs4uzmwK2JCnfhZ3jyFd4lG/Szzqd4nHcK5MBdIz4dKlSzmWzxzajL0nbzNt5Z+cuRHBrQdx7Am8TXhskrbOD3sv8Mf5UO6EPSToegQz1/5NxbI2uJWzAcCniTtp6ZlM/PYwV+/FEBISwq5duzA2evaEScZIP7zbd6BN23a4u3vg7u7BhLffwcrKirNngvLNIRQdCn3y/l9iY2MBcHBwKHBXYkI8ADalS+dYnpaWxu6tm7EuZUPlqtUBuHr5Aunp6TRs2lJbz7FsOdwqVyUiIuK53WmpqVy8cJ4WLVvr5Ldo2YozQadz25US4zGkSzzqd4lH/S7xqMel0UDXxm5cvRfDtpndub1mBIcX9Mtxa80jrMxNGNapJjfvxxIckfWeaW5qTFp6Jo8/nz09PR0Ao6fM3mWM8oeMjAx279pJUlIiXl4NCsRhEGTpXW9UNXlXFAVfX19at26Np6dngbu++2oBdeo1wL1yNZ2yv/44RO9OzenZvgm/BKxh7hffYmtnD0B0ZCSmpqbZJvz29g4kJyc/tz86JpqMjAwcHR118h0dyxAREa5nr4q/x5Au8ajfJR71u8SjHlc5W0tsrMx476WG7Dt1hx4fbWfb8RtsnNqV1p6uOnVHvViH8E0jifxpFC80rES36dtJS8/aGnrwbDBO9pa806c+piZGWFhY0KFDB4P3p7A9hnZdvXKZ5o0b0KRBXebM8uPzr76hStWq+eoQigaqOm1m/PjxnD17lqNHj+YpTkpKCikpKTp5j1YFHvHNQn9uXr/KZ0tWZrveq2ETFq/cRGxMDLu3b2bu9Pf5ctla7Owds9V9xOMrELlB85/brRVFyZaXHxQ3jyFd4lG/Szzqd4mn8F2P9qzv+OsmX2/NOojh7M1ImtV0ZmTXOhz959892hsPXuX308E4O1gxsU991k7uTIdJv5CSlsHFO9GM/GI/815vxazhzUHJ5O+//37u90EZI/1wd/dg0+YtPHwYx2/7fmX6B5NZvnJtkZ3Ayznv+qOalfcJEyawbds2Dhw4QIUKFfIUy9/fH1tbW5105MgRbfnihf4cP3qQ+V8vo2w5p2zXW1ha4VqhErU86+E7dSbGxibs2b4FAHtHR9LS0ngYF6dzTUxMFBYWFs/dRns7e4yNjbNttYmKisTRsUwueluyPIZ0iUf9LvGo3yUe9bgi4pJJS8+afD/O5bvROqfNAMQlpnI9NJY/zofy8ry91KhgT68W/26vCTh0FY9hK6kyYhXz58/n4MGDQNbNsobqT2F7DO0yNTOjkpsbdTzr8vY771K9Rk3WrV2drw6haFDok3dFURg/fjw///wz+/fvx8PjyXvvnpepU6cSGxurk9q0KFrNvwAAHsJJREFUaYOiKHzz2Vz+OPQ7n3y1DGfX5/uQoCgKaWmpAFSrURsTExNOn/hTWx4ZEc7tG9coU+b5f1FNzcyoVbsOx4/9oZN//NgxvOrn3x624uYxpEs86neJR/0u8ajHlZaeycmr4dmOfaxW3o474Q+feq1GA2amxtnyw2KSSEtLo06dOkDWDbNPQsYof1EUhbTU1AJ1FCQaTcGn4kqhb5sZN24c69evZ+vWrdjY2GhPbLG1tcXS0hKAqKgo7ty5Q8j/j116dA68s7Mzzs7O2WKam5tjbm6uk2diYsI3n83lwL7d+M37Aksra6Iisz4pW5cqhbm5BclJiWxY9T3NW3vjUKYMcbGx7Pg5gIjwB7Rp/8L/69rQpXsfli76DBtbO2xKl+b7RQtxr1wtx7Y8jaHDX2XalEnU9vTEy6sBm38MIDQ0lP4DB+UqTknzGNIlHvW7xKN+l3gM69IATk5Z3yq7O9lQz8OR6PgU7obH8/nPp1kzqTNH/wnh0Ll7dG5YiRebutPlgy3/r1+al9pU5ffTd4mIS8LVwZp3X2pAUkoGewPvaB1junly/NJ94pPSaNLEnRdeeIH05zgtWcZIP776YiGt27TFydmZxIQE9uzeReCJv1n83ff55hCKDoU+eV+yZAkA3t7eOvkrVqxgxIgRAGzbto1XX31VWzZoUNYvhJ+fHzNmzHhu145fNgEwafzrOvm+H8yic7deGBkZc/f2TX7bvY242BhsSttRvVYdFixegXvlf/eUjX7rfYyNjZk7/X1SU1Ko37gpM6d9zO6fVj13WwC6+rxIbEw0S5csJjw8jKrVqvPNt0txdS2fqzglzWNIl3jU7xKP+l3iMZzLSANmxjBmzBgA5r+RdQrKmt8vMeqL/Ww7fpMJiw/xfv+GfDaqDVfuxTDYfw/HLmQtnKWkpdOqjgvje9bDvpQ5YTFJHD0fQvtJP+scJ9m4uhMfvtyUUpamREeGs2PHDnx69Mn3/uiLmsdIHyIjI5g2ZRLh4WGUsrGhevUaLP7ue1q0bJVvDkNTjBfGC5xCn7wrz3GHy4gRI7QT+byw548zTy03MzfnI//PnxnHzNycsb5TGes7Nc9tGjh4CAMHD8lznJLmMaRLPOp3iUf9LvEYxpWpQHI6fDJnJgDzAstmq7P6t0us/i3nc+BDoxLpM3PnMz1vfP679t9TGmedqvI8k3eQMdKHmR/PLbDYQtGj0CfvgiAIgiAIQglDlt71ptBvWBUEQRAEQRCEwmbx4sV4eHhgYWFBo0aNdE4qVBMyeRcEQRAEQRAMisYA/+WGgIAAJk6cyLRp0zh9+jRt2rTBx8eHO3fuPPtiAyOTd0EQBEEQBKFEs3DhQl5//XXeeOMNatWqxRdffEHFihW1B6uoCZm8C4IgCIIgCAZFTee8p6amcvLkSTp37qyT37lzZ44dO5bPPc87GuV5jnspBsycObOwmyAIgiAIglAo+Pn5FXYTdEhOL3iHJiOFlJQUnbycngUUEhJC+fLl+eOPP2jZsqU2f+7cuaxatUr7fCHVoAg5kpycrPj5+SnJycnFwmNIl3jU7xKP+l3iUb9LPOp3iadk4+fnpwA6yc/PL1u9e/fuKYBy7NgxnfzZs2crNWrUMFBrn58Ss/KeW+Li4rC1tSU2NpbSpUsXeY8hXeJRv0s86neJR/0u8ajfJZ6STUrK8628p6amYmVlxY8//kifPv8+r+Dtt98mKCiIQ4cOGaS9z4vseRcEQRAEQRCKHebm5pQuXVon/XfiDmBmZkajRo3Yt2+fTv6+fft0ttGoBXlIkyAIgiAIglCi8fX1ZejQoTRu3JgWLVqwdOlS7ty5w5gxYwq7admQybsgCIIgCIJQohk4cCCRkZHMmjWL0NBQPD092bVrF25uboXdtGzI5P0JmJub4+fnl+PXK0XRY0iXeNTvEo/6XeJRv0s86neJR8gNY8eOZezYsYXdjGciN6wKgiAIgiAIQhFBblgVBEEQBEEQhCKCTN4FQRAEQRAEoYggk3dBEARBEARBKCLI5F0QBEEQBEEQiggyeReKNHK/tSAIgiAIJQk5KvL/BAcHs2TJEo4dO8b9+/fRaDQ4OTnRsmVLxowZQ8WKFQu7iUIOmJubc+bMGWrVqlXYTREMSGhoKEuWLOHo0aOEhoZibGyMh4cHvXv3ZsSIERgbGxd2EwVBKMYkJCSwfv36bHOGVq1aMXjwYKytrQu8DQ8ePOC7777jo48+KnCXoC7kqEjg6NGj+Pj4ULFiRTp37oyTkxOKohAWFsa+ffu4e/cuu3fvplWrVgXelrt37+Ln58cPP/yQ51hJSUmcPHkSBwcHateurVOWnJzMpk2bGDZsWJ49Fy9e5Pjx47Ro0YKaNWty6dIlvvzyS1JSUnjllVfo0KFDnh2+vr455n/55Ze88sorODo6ArBw4cI8ux4nOjqaVatWcfXqVVxcXBg+fHi+fZA7ffo0dnZ2eHh4ALB27VqWLFnCnTt3cHNzY/z48QwaNCjPngkTJjBgwADatGmT51jP4uuvvyYwMJBu3boxYMAA1qxZg7+/P5mZmfTt25dZs2ZhYpK3NYPAwEA6deqEh4cHlpaW/PXXXwwZMoTU1FT27t1LrVq12Lt3LzY2NvnSJzW8SUP+v1EHBwdjZ2dHqVKldPLT0tL4888/adu2bZ4dkZGRnD17Fi8vLxwcHIiIiGD58uWkpKTQv3//Av3QXblyZfbu3Uu1atUKzJGWlsbOnTu1fx/69OmTL/8/BAcHY2FhQZkyZQA4cuQI3377rfZvw7hx42jRokWePZ999hkvvfSSQR5Cs337dgIDA+natSstWrRg//79LFiwQPu3YdSoUfnmSkpKYsOGDTl+uO/YsWOe41+4cIEXXniBxMRE2rVrpzNnOHToENbW1vz666/Z3nfzmzNnztCwYUMyMjIK1COoEEVQGjdurEycOPGJ5RMnTlQaN25skLYEBQUpRkZGeY5z+fJlxc3NTdFoNIqRkZHSrl07JSQkRFt+//79fPHs3r1bMTMzUxwcHBQLCwtl9+7dStmyZZVOnTopHTt2VExMTJTff/89zx6NRqPUr19f8fb21kkajUZp0qSJ4u3trbRv3z7PHhcXFyUiIkJRFEW5ceOG4uzsrDg7OysvvPCCUqFCBcXW1la5ePFinj2KoigNGjRQ9u/fryiKoixbtkyxtLRU3nrrLWXJkiXKxIkTlVKlSinLly/Ps+fR/wPVqlVT5s2bp4SGhuY5Zk7MmjVLsbGxUfr166c4Ozsr8+bNUxwdHZXZs2crc+fOVcqWLat89NFHefa0atVKmTFjhvb1mjVrlGbNmimKoihRUVFK/fr1lbfeeivPHkVRlPPnzyuurq6KnZ2d0qtXL2XUqFHKyJEjlV69eil2dnZK+fLllfPnz+eL61nk19+GkJAQpUmTJoqRkZFibGysDBs2THn48KG2PL/+Nvz111+Kra2totFoFHt7eyUwMFDx8PBQqlWrplStWlWxtLRUTp48mWfPl19+mWMyNjZWpk6dqn2dH7Ro0UKJjo5WFEVRwsLClLp16ypmZmZKtWrVFAsLC6VSpUpKcHBwvnh27dqlKIqibNmyRTEyMlJ69uypTJ48WenTp49iamqqbN++Pc8ejUajGBsbK506dVI2btyopKSk5DlmTixZskQxMTFRGjVqpJQuXVpZu3atYmNjo7zxxhvK6NGjFUtLS+WLL77IF9fVq1cVNzc3xdHRUXFxcVE0Go3SrVs3pVmzZoqxsbHSv39/JS0tLU8Ob29vZdCgQTn+vFJSUpTBgwcr3t7eeXIoiqKcOXPmqSkgICBffleFoodM3hVFsbCwUC5duvTE8osXLyoWFhb54tq6detT0+eff54vv4y9e/dWunfvroSHhytXr15VevTooXh4eCi3b99WFCX/3qBbtGihTJs2TVEURdmwYYNib2+vfPDBB9ryDz74QHnhhRfy7Jk7d67i4eGR7YOAiYlJvk6eNBqN8uDBA0VRFGXQoEGKt7e3kpCQoCiKoiQnJyvdu3dXXnrppXxxWVlZacejQYMGynfffadTvm7dOqV27dp59mg0GuW3335T3n77baVMmTKKqamp0rNnT2X79u1KRkZGnuM/onLlysrmzZsVRcmaaBobGytr167Vlv/8889K1apV8+yxtLRUrl+/rn2dkZGhmJqaKvfv31cURVF+/fVXxdXVNc8eRTHcm7SiGO6NetiwYUrz5s2VEydOKPv27VMaN26sNGrUSImKilIUJetvg0ajybOnU6dOyhtvvKHExcUpn376qVKhQgXljTfe0Ja//vrrSu/evfPs0Wg0SoUKFRR3d3edpNFolPLlyyvu7u6Kh4dHnj2PXI/+PowcOVKpX7++9sNwRESE0rJlS+W1117Ls8fGxka5efOmoiiK0qxZM2XevHk65V9//bXSoEGDPHs0Go2yYsUKpVevXoqpqani6OiovP3228q5c+fyHPtxatWqpSxdulRRFEXZv3+/YmFhoXzzzTfa8hUrVii1atXKF5ePj48yevRo7d82f39/xcfHR1EURbly5Yri7u6u+Pn55clhaWn51Pedc+fOKZaWlnlyKMq/Cy8ajSZbepQvk/eSiUzeFUXx8PBQfvjhhyeW//DDD/n6x/9Jv4yP/1LmlXLlyilnz57VyRs7dqxSqVIl5fr16/k2eS9durRy9epVRVGyJlEmJiY6q2nnzp1TnJyc8uxRFEX5+++/lerVqyvvvvuukpqaqihKwU7ec/qwcPz4caVChQr54nJ0dFQCAwMVRckar6CgIJ3ya9eu5dsbwKM+paamKgEBAUqXLl0UY2NjxdXVVfnggw+0Y5gXLC0ttR9GFEVRTE1NlX/++Uf7+tatW4qVlVWePW5ubsrRo0e1r0NCQhSNRqMkJiYqiqIoN2/ezLcP24Z6k1YUw71Ru7q6Kn/99Zf2dXJystKrVy+lfv36SmRkZL79bbC3t1cuXLigKErW/3dGRkY63lOnTinly5fPs2fUqFFK/fr1ta5H5PffBkXR/V2qXr26smPHDp3yAwcOKO7u7nn22NraKmfOnFEUJetvw6N/P+LatWv58rv0eH8ePHigfPLJJ0rNmjUVIyMjpUmTJsrSpUuVuLi4PHty+tvw+AeEmzdv5kt/FCVrUeTKlSva1ykpKYqpqan2G9UtW7bkeYxcXV2VLVu2PLH8l19+yZcFhDJlyijLly9Xbt26lWPauXOnTN5LKHLaDPDee+8xZswYxo8fz9atWzl+/Dh//fUXW7duZfz48bz55ptMmjQpX1wuLi5s3ryZzMzMHNOpU6fyxZOUlJRtb/E333xDz549adeuHVeuXMkXz+MYGRlhYWGBnZ2dNs/GxobY2Nh8id+kSRNOnjxJeHg4jRs35ty5c2g0mnyJ/TiPYqakpODk5KRT5uTkRHh4eL54fHx8WLJkCQDt2rXjp59+0inftGkTVatWzRfXI0xNTRkwYAB79uzhxo0bjBw5knXr1lGjRo08x3Z2dubChQsAXL16lYyMDO1rgPPnz1OuXLk8e3r37s2YMWPYs2cPBw4cYMiQIbRr1w5LS0sALl++TPny5fPsAbC3t+fq1atPLL927Rr29vb54nJ0dGTZsmXcvHkzW7px4wY7duzIF09sbKxOm83Nzfnpp59wd3enffv2hIWF5YsnNTVVOyampqZYWVlp93BDVn8jIyPz7Pnuu+/w8/OjS5cuLFq0KM/xnsWjvw8xMTHa+1Ue4eHhQWhoaJ4d7dq1Y8OGDQA0aNCAgwcP6pQfOHAg3/4ff0S5cuWYNGkSFy9e5ODBg9SuXZt33nkHFxeXPMd2dHTk9u3bAISEhJCens6dO3e05bdv38bBwSHPHgA7OzsePnyofZ2YmEh6ejpmZmYA1KtXL89jNHLkSIYPH86CBQs4c+YM9+/f58GDB5w5c4YFCxbw2muvMXr06Dw5ABo1akRISAhubm45pvLly8uJayWVwv70oBY2btyoNGvWTDExMdGudpmYmCjNmjVTAgIC8s3To0cPZfr06U8sDwoKypevrJs0aaKsXr06x7Jx48YpdnZ2+fKJvV69esru3bu1r8+dO6ezn/DIkSP59q3F42zYsEFxcnJSjIyM8n3lvW7dukqDBg2UUqVKKT///LNO+aFDh/JltVBRFOXevXuKu7u70rZtW8XX11extLRUWrdurYwcOVJp27atYmZmpuzcuTPPnsdX13IiMzNT+fXXX/PsmTZtmlK2bFnljTfeUDw8PJSpU6cqlSpVUpYsWaJ8++23SsWKFZV33nknz56HDx8qAwYM0P6utmzZUrlx44a2fO/evcqmTZvy7FEURfHz81NsbW2VTz/9VAkKClJCQ0OV+/fvK0FBQcqnn36q2NvbKzNnzswXV5cuXZSPP/74ieX59behbt26yk8//ZQtPy0tTendu7dSqVKlfPnbULNmTZ1vrnbs2KH9dkRR8vdbLEVRlODgYKVDhw5K165dldDQ0AJbeX/xxReVPn36KPb29tp96Y/4888/8+WbxgsXLiiOjo7KsGHDlI8//lgpVaqU8sorryhz5sxRhg0bppibmysrVqzIs8fIyOipfxtiY2O1213ywrhx45Rq1aops2fPVpo2baoMHz5cqVmzprJ7925lz549St26dfNlu5GiKMrw4cOVdu3aKRcvXlRu3LihDBw4UGeL0cGDB5WKFSvm2TNv3jztnnojIyPtt2MuLi7KJ598kuf4ipK11XDNmjVPLI+KilJWrlyZLy6haCGT9/+QmpqqhISEKCEhIdqtGfnJ4cOHdSa7/yU+Pl45ePBgnj1z587V7vPLiTfffDNfJgJLlizJ9tXx43zwwQfK66+/nmdPTty9e1fZsmWLEh8fn28xZ8yYoZP27NmjU/7ee+8pgwYNyjdfdHS0MnnyZKV27dqKhYWFYmZmpri5uSkvv/yycuLEiXxxuLu7a78yLkjS09OV2bNnK/9r7/5joqzjOIC/D+68CzymA8ZBF5zDhHOwMdACikmroDV+DNwcyx8cAZNqajKhIrYObbZGtYBqbS0hGjut0ObYCms7KncUkf4hm5MAgdDBTEcjfh/37Y/kmSccahznPfR+bfeH3+d5vu/vI9P73JfvfZ+MjAxpja7FYhEPPfSQCAwMFCaTya0/q8nJSacvWq4UT7xJC+G5N+ry8nKRlpa26LHZ2VmRlZXllv8bzGazsFgsLo9XVFSI3NzcZefcyuFwiKNHjwqdTid8fX3dXrybTCan1+0fEg8dOiTS09PdktXT0yPy8vKEVquVJpRUKpVITk4Wp06dckvGnT7Yu8vff/8tioqKRExMjCgpKREzMzOiurparFmzRigUCpGamuq2cYyMjIjExETp36vBYBDnzp2Tjn/55ZeitrbWLVlC/Luxgc1mEzabzWkSgWglcatIIqK7cPnyZQwPDwP4d4nQ7Usm5MJut2NiYgIBAQGLHp+bm8PQ0NCKbx84MTEBX19fqNVqt/f922+/4ezZs9izZ4/bljXdjfHxcfj6+kKj0bitT3FzC0KHw4GgoCCoVCq39X2/TU1NYXZ21m3but7q999/x/T0NKKjo5e9PS2Rt+GadyKiu7BhwwYkJSUhKSlJKtz/+OMPPP/88x7Jd1eWUql0WbgD/65JrqqqWnbOnVy/fh0vvPDCivSdkJCAAwcOYP369R79Gd24cQMvvviiW/ucf65AaGioVLh76p5WOkej0UCr1a5IzsMPP4yYmJgFhbu7siYnJ3H27Fmn7/XMm5qaQmNj47IzPJlD8sKZdyKi/8iTD0nxVBZzvD+LOfc3q7u7G2lpaRgcHIRCoUBKSgosFov05d6RkRGEhYUt+348lUPyw98lERG5cPr06SWP9/X1yS6LOd6fxRzvznrllVcQGxuLzs5OjI6OorS0FI899hja2toQHh6+7P49nUPyw5l3IiIXfHx8oFAoltyOTaFQuGXmy1NZzPH+LOZ4d1ZISAi+//57xMbGSm0vvfQSWlpaYLVa4e/v75YZcU/lkPxwzTsRkQueei6DJ7OY4/1ZzPHuLE89R+V+PK+F5IHFOxGRCwkJCUu+2d9phs8bs5jj/VnM8e6s6OhodHZ2Lmivq6tDdnY2srKyltW/p3NIfrjmnYjIhbKyMoyPj7s8vnHjRlitVlllMcf7s5jj3Vk5OTmwWCzYvXv3gmMffPABHA4HPv7442VleDKH5Idr3omIiIiIZILLZoiIiIiIZILFOxERERGRTLB4JyIiIiKSCRbvREREREQyweKdiFaVhoYGKBQK6aVUKqHX61FQUIArV66seL7BYIDJZJL+3NbWBoVCgba2tnvqx2azwWw2Y3R01K3jAwCTyQSDweD2fomIaOWxeCeiVam+vh7t7e347rvvUFxcDIvFgpSUlCW3kVsJ8fHxaG9vR3x8/D1dZ7PZUFVVtSLFOxERyRf3eSeiVSkmJgZbtmwBADzxxBOYm5vDkSNH8PXXX2Pnzp0Lzp+YmICfn5/bxxEQEIDExES390tERP9PnHknov+F+QJ6YGAAJpMJa9euxYULF5CWlgatVosnn3wSADAzM4M333wT0dHRUKvVCA4ORkFBAa5du+bU3+zsLMrLy6HT6eDn54fHH38cHR0dC3JdLZv55ZdfkJmZicDAQGg0GkRGRuLll18GAJjNZpSVlQEANmzYIC0BurWPEydOICkpCf7+/li7di3S09Nx/vz5BfkNDQ2IioqCWq2G0WhEY2Pjf/0rJCIiL8CZdyL6X+jp6QEABAcHo7u7GzMzM8jKysLevXvx6quvwm63w+FwIDs7Gz/99BPKy8uRnJyMgYEBvPHGG0hNTUVnZyceeOABAEBxcTEaGxtx6NAhPP300+jq6kJubi7GxsbuOJbW1lZkZmbCaDTivffeQ3h4OPr7+3HmzBkAQFFREW7cuIG6ujqcPHkSoaGhAIDNmzcDAI4ePYrKykoUFBSgsrISMzMzqK6uRkpKCjo6OqTzGhoaUFBQgOzsbLz77rv466+/YDabMT09DR8fzt0QEcmSICJaRerr6wUA8fPPP4vZ2VkxNjYmWlpaRHBwsNBqtWJ4eFjk5+cLAOLYsWNO11osFgFANDc3O7X/+uuvAoD46KOPhBBCXLx4UQAQBw8edDqvqalJABD5+flSm9VqFQCE1WqV2iIjI0VkZKSYnJx0eR/V1dUCgLh8+bJT++DgoFAqlWLfvn1O7WNjY0Kn04kdO3YIIYSYm5sTYWFhIj4+XjgcDum8/v5+oVKpREREhMtsIiLyXpx6IaJVKTExESqVClqtFhkZGdDpdPjmm28QEhIinbN9+3ana1paWrBu3TpkZmbCbrdLr7i4OOh0OmnZitVqBYAFa+d37NgBpXLpX2h2d3ejt7cXhYWF0Gg093xfra2tsNvt2LNnj9MYNRoNtm3bJo3x0qVLuHr1Kp577jkoFArp+oiICCQnJ99zLhEReQcumyGiVamxsRFGoxFKpRIhISHS0pN5fn5+CAgIcGobGRnB6Ogo1qxZs2iff/75JwDg+vXrAACdTud0XKlUIjAwcMlxza+d1+v1d38zt40RALZu3bro8fnlMK7GON/W39//n/KJiOj+YvFORKuS0WiUdptZzK2z0fOCgoIQGBiIb7/9dtFrtFotAEgF+vDwMB588EHpuN1ul4pmV4KDgwEAQ0NDS9+AC0FBQQCAr776ChERES7Pu3WMt1usjYiI5IHFOxHRTRkZGTh+/Djm5ubw6KOPujwvNTUVANDU1ISEhASp/YsvvoDdbl8yY9OmTYiMjMSxY8dQWloKtVq96Hnz7ZOTk07t6enpUCqV6O3tXbDs51ZRUVEIDQ2FxWJBaWmp9GFlYGAANpsNYWFhS46TiIi8E4t3IqKb8vLy0NTUhGeffRYHDhzAI488ApVKhaGhIVitVmRnZyMnJwdGoxG7du3C+++/D5VKhaeeegpdXV145513FizFWcyHH36IzMxMJCYm4uDBgwgPD8fg4CBaW1vR1NQEAIiNjQUA1NTUID8/HyqVClFRUTAYDDh8+DBef/119PX14ZlnnsH69esxMjKCjo4O+Pv7o6qqCj4+Pjhy5AiKioqQk5OD4uJijI6Owmw2L7qUhoiI5IHFOxHRTb6+vjh9+jRqamrw+eef46233oJSqYRer8e2bdukghoAPv30U4SEhKChoQG1tbWIi4tDc3Mz8vLy7piTnp6OH3/8EYcPH8b+/fsxNTUFvV6PrKws6ZzU1FS89tpr+Oyzz/DJJ5/A4XDAarVK7Zs3b0ZNTQ0sFgump6eh0+mwdetWlJSUSH0UFhYCAN5++23k5ubCYDCgoqICP/zww4J954mISB4UQghxvwdBRERERER3xq0iiYiIiIhkgsU7EREREZFMsHgnIiIiIpIJFu9ERERERDLB4p2IiIiISCZYvBMRERERyQSLdyIiIiIimWDxTkREREQkEyzeiYiIiIhkgsU7EREREZFMsHgnIiIiIpIJFu9ERERERDLxD+O7Uh7Sw2PsAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Saved to: lgbm_sub.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x2200 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Saved to: lgbm_rf.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Saved to: xgb_main.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Saved to: xgb_sub.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x2200 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Saved to: xgb_rf.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Saved to: conf_main.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Saved to: conf_sub.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x2200 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Saved to: conf_rf.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pickle\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.metrics import confusion_matrix\n",
    "\n",
    "# ✅ تحميل بيانات الاختبار\n",
    "with open(\"train_test_data_main.pkl\", \"rb\") as f:\n",
    "    _, X_test_main, _, y_test_main = pickle.load(f)\n",
    "\n",
    "with open(\"train_test_data_sub.pkl\", \"rb\") as f:\n",
    "    _, X_test_sub, _, y_test_sub = pickle.load(f)\n",
    "\n",
    "with open(\"train_test_data_rf.pkl\", \"rb\") as f:\n",
    "    _, X_test_rf, _, y_test_rf = pickle.load(f)\n",
    "\n",
    "# ✅ دالة لرسم Confusion Matrix\n",
    "import pickle\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.metrics import confusion_matrix\n",
    "import os\n",
    "import matplotlib.image as mpimg\n",
    "\n",
    "def plot_conf_matrix(model_filename, X_test, y_test, title, labels=None, save_path=None):\n",
    "    # ✅ إذا الصورة محفوظة مسبقاً - فقط عرضها\n",
    "    if save_path and os.path.exists(save_path):\n",
    "        print(f\"📂 الصورة موجودة: {save_path} - سيتم عرضها فقط ✅\")\n",
    "        img = mpimg.imread(save_path)\n",
    "        plt.figure(figsize=(10, 8))\n",
    "        plt.imshow(img)\n",
    "        plt.axis('off')\n",
    "        plt.title(f\"Confusion Matrix - {title}\")\n",
    "        plt.show()\n",
    "        return\n",
    "\n",
    "    # ✅ تحميل النموذج (معالجة إذا كان داخل Tuple)\n",
    "    with open(model_filename, \"rb\") as f:\n",
    "        loaded = pickle.load(f)\n",
    "        model = loaded[0] if isinstance(loaded, tuple) else loaded\n",
    "\n",
    "    y_pred = model.predict(X_test)\n",
    "    cm = confusion_matrix(y_test, y_pred)\n",
    "\n",
    "    if labels is None:\n",
    "        labels = [str(i) for i in range(cm.shape[0])]\n",
    "\n",
    "    # ✅ تخصيص الشكل حسب نوع التصنيف\n",
    "    if title == \"Sub Category\":\n",
    "        figsize = (24, 22)\n",
    "        annot = False\n",
    "        fontsize = 6\n",
    "    else:\n",
    "        figsize = (8, 6)\n",
    "        annot = True\n",
    "        fontsize = 10\n",
    "\n",
    "    plt.figure(figsize=figsize)\n",
    "    sns.heatmap(cm, annot=annot, fmt=\"d\", cmap=\"Blues\",\n",
    "                xticklabels=labels, yticklabels=labels, linewidths=0.3, linecolor='gray')\n",
    "    \n",
    "    plt.xticks(rotation=90, fontsize=fontsize)\n",
    "    plt.yticks(rotation=0, fontsize=fontsize)\n",
    "    plt.title(f\"Confusion Matrix - {title}\", fontsize=14)\n",
    "    plt.xlabel(\"Predicted\", fontsize=12)\n",
    "    plt.ylabel(\"Actual\", fontsize=12)\n",
    "    plt.tight_layout()\n",
    "\n",
    "    if save_path:\n",
    "        plt.savefig(save_path, dpi=300)\n",
    "        print(f\"✅ Saved to: {save_path}\")\n",
    "\n",
    "    plt.show()\n",
    "\n",
    "# ✅ رسم Confusion Matrix لكل تصنيف\n",
    "plot_conf_matrix(\"svm_model_main.pkl\", X_test_main, y_test_main, \"Main Category\", save_path=\"svm_main.png\")\n",
    "plot_conf_matrix(\"svm_model_sub.pkl\", X_test_sub, y_test_sub, \"Sub Category\", save_path=\"svm_sub.png\")\n",
    "plot_conf_matrix(\"svm_model_rf.pkl\", X_test_rf, y_test_rf, \"Fake/Real\", labels=[\"Real\", \"Fake\"], save_path=\"svm_rf.png\")\n",
    "\n",
    "plot_conf_matrix(\"etc_model_main.pkl\", X_test_main, y_test_main, \"Main Category\", save_path=\"etc_main.png\")\n",
    "plot_conf_matrix(\"etc_model_sub.pkl\", X_test_sub, y_test_sub, \"Sub Category\", save_path=\"etc_sub.png\")\n",
    "plot_conf_matrix(\"etc_model_rf.pkl\", X_test_rf, y_test_rf, \"Fake/Real\", labels=[\"Real\", \"Fake\"], save_path=\"etc_rf.png\")\n",
    "\n",
    "plot_conf_matrix(\"lgbm_model_main.pkl\", X_test_main, y_test_main, \"Main Category\", save_path=\"lgbm_main.png\")\n",
    "plot_conf_matrix(\"lgbm_model_sub.pkl\", X_test_sub, y_test_sub, \"Sub Category\", save_path=\"lgbm_sub.png\")\n",
    "plot_conf_matrix(\"lgbm_model_rf.pkl\", X_test_rf, y_test_rf, \"Fake/Real\", labels=[\"Real\", \"Fake\"], save_path=\"lgbm_rf.png\")\n",
    "\n",
    "\n",
    "plot_conf_matrix(\"xgb_model_main.pkl\", X_test_main, y_test_main, \"Main Category\", save_path=\"xgb_main.png\")\n",
    "plot_conf_matrix(\"xgb_model_sub.pkl\", X_test_sub, y_test_sub, \"Sub Category\", save_path=\"xgb_sub.png\")\n",
    "plot_conf_matrix(\"xgb_model_rf.pkl\", X_test_rf, y_test_rf, \"Fake/Real\", labels=[\"Real\", \"Fake\"], save_path=\"xgb_rf.png\")\n",
    "\n",
    "\n",
    "\n",
    "plot_conf_matrix(\"rf_model_main.pkl\", X_test_main, y_test_main, \"Main Category\", save_path=\"conf_main.png\")\n",
    "plot_conf_matrix(\"rf_model_sub.pkl\", X_test_sub, y_test_sub, \"Sub Category\", save_path=\"conf_sub.png\")\n",
    "plot_conf_matrix(\"rf_model_rf.pkl\", X_test_rf, y_test_rf, \"Fake/Real\", labels=[\"Real\", \"Fake\"], save_path=\"conf_rf.png\")\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e2d20a69-f454-4701-8601-169ae39d7c59",
   "metadata": {},
   "outputs": [],
   "source": [
    "# ✅ استيراد المكتبات\n",
    "import os\n",
    "import pickle\n",
    "import numpy as np\n",
    "from sklearn.model_selection import train_test_split\n",
    "from imblearn.over_sampling import SMOTE\n",
    "from collections import Counter\n",
    "\n",
    "# ✅ تحميل الميزات\n",
    "with open(r\"D:\\PHD Dream\\THESIS\\dataset\\1-csv\\DEEP L files\\embeddings_DEEP.pkl\", \"rb\") as f:\n",
    "    X_full = pickle.load(f)\n",
    "\n",
    "# ✅ تحميل الليبلات\n",
    "with open(r\"D:\\PHD Dream\\THESIS\\dataset\\1-csv\\DEEP L files\\y_labels.pkl\", \"rb\") as f:\n",
    "    y_data = pickle.load(f)\n",
    "\n",
    "y_main = y_data[\"main\"]\n",
    "y_sub = y_data[\"sub\"]\n",
    "y_rf = y_data[\"rf\"]\n",
    "\n",
    "# ✅ دالة لإزالة التصنيفات قليلة العينات\n",
    "def remove_low_classes(X, y, min_samples=2):\n",
    "    counts = Counter(y)\n",
    "    valid_classes = {label for label, count in counts.items() if count >= min_samples}\n",
    "    mask = np.isin(y, list(valid_classes))\n",
    "    return X[mask], y[mask]\n",
    "\n",
    "# ✅ تطبيق SMOTE\n",
    "def apply_smote(X, y, label_name):\n",
    "    print(f\"🔄 Applying SMOTE for {label_name} ...\")\n",
    "    try:\n",
    "        smote = SMOTE(random_state=42, k_neighbors=1)\n",
    "        return smote.fit_resample(X, y)\n",
    "    except MemoryError:\n",
    "        print(f\"⚠️ MemoryError during SMOTE for {label_name}, using original data.\")\n",
    "        return X, y\n",
    "\n",
    "# ✅ تطبيق SMOTE انتقائي فقط للكلاسات القليلة\n",
    "def selective_smote(X, y, min_class_samples=1000):\n",
    "    print(f\"🔍 تطبيق Selective SMOTE للتصنيفات النادرة...\")\n",
    "    counter = Counter(y)\n",
    "    rare_classes = [cls for cls, count in counter.items() if count < min_class_samples]\n",
    "\n",
    "    if not rare_classes:\n",
    "        print(\"✅ لا توجد تصنيفات نادرة بحاجة إلى SMOTE.\")\n",
    "        return X, y\n",
    "\n",
    "    mask_rare = np.isin(y, rare_classes)\n",
    "    X_rare, y_rare = X[mask_rare], y[mask_rare]\n",
    "\n",
    "    X_balanced_rare, y_balanced_rare = apply_smote(X_rare, y_rare, \"Rare Sub Categories\")\n",
    "\n",
    "    # دمج العينات الأصلية (غير النادرة) مع العينات بعد SMOTE\n",
    "    X_rest, y_rest = X[~mask_rare], y[~mask_rare]\n",
    "    X_final = np.concatenate([X_rest, X_balanced_rare], axis=0)\n",
    "    y_final = np.concatenate([y_rest, y_balanced_rare], axis=0)\n",
    "\n",
    "    print(f\"✅ شكل البيانات بعد Selective SMOTE: {X_final.shape}\")\n",
    "    return X_final, y_final\n",
    "\n",
    "# ✅ دالة تقسيم وتخزين\n",
    "def split_and_save(X, y, name):\n",
    "    path = r\"D:\\PHD Dream\\THESIS\\dataset\\1-csv\\DEEP L files\\train_test_data_{name}-deep-new.pkl\"\n",
    "    if os.path.exists(path):\n",
    "        print(f\"📁 الملف موجود مسبقًا: {path} ✅ سيتم تخطيه\")\n",
    "        return\n",
    "    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42, stratify=y)\n",
    "    with open(path, \"wb\") as f:\n",
    "        pickle.dump((X_train, X_test, y_train, y_test), f)\n",
    "    print(f\"✅ تم حفظ الملف: {path}\")\n",
    "    print(f\"    📌 X_train shape: {X_train.shape}\")\n",
    "    print(f\"    📌 y_train shape: {y_train.shape}\")\n",
    "    print(f\"    📌 X_test shape:  {X_test.shape}\")\n",
    "    print(f\"    📌 y_test shape:  {y_test.shape}\")\n",
    "\n",
    "# ✅ معالجة Main (بدون تعديل)\n",
    "path_main = r\"D:\\PHD Dream\\THESIS\\dataset\\1-csv\\DEEP L files\\train_test_data_main-deep-new.pkl\"\n",
    "if not os.path.exists(path_main):\n",
    "    print(\"🚀 البدء بمعالجة Main Category\")\n",
    "    X_main, y_main = remove_low_classes(X_full, y_main)\n",
    "    X_main_bal, y_main_bal = apply_smote(X_main, y_main, \"Main Category\")\n",
    "    split_and_save(X_main_bal, y_main_bal, \"main\")\n",
    "\n",
    "# ✅ معالجة Sub (Selective SMOTE للكلاسات النادرة فقط)\n",
    "path_sub = r\"D:\\PHD Dream\\THESIS\\dataset\\1-csv\\DEEP L files\\train_test_data_sub-deep-new.pkl\"\n",
    "if not os.path.exists(path_sub):\n",
    "    print(\"🚀 البدء بمعالجة Sub Category\")\n",
    "    X_sub, y_sub = remove_low_classes(X_full, y_sub)\n",
    "    X_sub_bal, y_sub_bal = selective_smote(X_sub, y_sub, min_class_samples=1000)\n",
    "    split_and_save(X_sub_bal, y_sub_bal, \"sub\")\n",
    "\n",
    "# ✅ معالجة Fake/Real (بدون تعديل)\n",
    "path_rf = r\"D:\\PHD Dream\\THESIS\\dataset\\1-csv\\DEEP L files\\train_test_data_rf-deep-new.pkl\"\n",
    "if not os.path.exists(path_rf):\n",
    "    print(\"🚀 البدء بمعالجة Fake/Real Category\")\n",
    "    X_rf, y_rf = remove_low_classes(X_full, y_rf)\n",
    "    X_rf_bal, y_rf_bal = apply_smote(X_rf, y_rf, \"Fake/Real\")\n",
    "    split_and_save(X_rf_bal, y_rf_bal, \"rf\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "b169cae3-54b4-488a-bb50-b8d9e1b6fbca",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ تم حفظ الرسم الكامل: full_comparison_heatmap.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ✅ استيراد المكتبات\n",
    "import os\n",
    "import pickle\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# ✅ تجهيز البيانات\n",
    "data = {\n",
    "    \"Model\": [\n",
    "        \"SVM\", \"SVM\", \"SVM\", \"SVM\",\n",
    "        \"Random Forest\", \"Random Forest\", \"Random Forest\", \"Random Forest\",\n",
    "        \"Extra Trees\", \"Extra Trees\", \"Extra Trees\", \"Extra Trees\",\n",
    "        \"XGBoost\", \"XGBoost\", \"XGBoost\", \"XGBoost\",\n",
    "        \"LightGBM\", \"LightGBM\", \"LightGBM\", \"LightGBM\"\n",
    "    ],\n",
    "    \"Metric\": [\n",
    "        \"Accuracy\", \"Precision\", \"Recall\", \"F1-Score\",\n",
    "        \"Accuracy\", \"Precision\", \"Recall\", \"F1-Score\",\n",
    "        \"Accuracy\", \"Precision\", \"Recall\", \"F1-Score\",\n",
    "        \"Accuracy\", \"Precision\", \"Recall\", \"F1-Score\",\n",
    "        \"Accuracy\", \"Precision\", \"Recall\", \"F1-Score\"\n",
    "    ],\n",
    "    \"Main Category\": [\n",
    "        0.877, 0.876, 0.877, 0.877,\n",
    "        0.943, 0.955, 0.950, 0.950,\n",
    "        0.950, 0.952, 0.951, 0.950,\n",
    "        0.946, 0.946, 0.946, 0.946,\n",
    "        0.950, 0.948, 0.948, 0.949\n",
    "    ],\n",
    "    \"Sub Category\": [\n",
    "        0.801, 0.791, 0.801, 0.794,\n",
    "        0.975, 0.974, 0.975, 0.974,\n",
    "        0.950, 0.951, 0.950, 0.950,\n",
    "        0.975, 0.974, 0.975, 0.974,\n",
    "        0.978, 0.978, 0.978, 0.978\n",
    "    ],\n",
    "    \"Real/Fake\": [\n",
    "        0.815, 0.820, 0.815, 0.815,\n",
    "        0.951, 0.955, 0.950, 0.950,\n",
    "        0.9542, 0.955, 0.954, 0.954,\n",
    "        0.950, 0.951, 0.950, 0.950,\n",
    "        0.937, 0.938, 0.937, 0.937\n",
    "    ]\n",
    "}\n",
    "\n",
    "# ✅ تحويل إلى DataFrame\n",
    "df = pd.DataFrame(data)\n",
    "\n",
    "# ✅ دمج الأعمدة مع بعض: نخلي الجدول فيه \"Model + Metric\" على شكل سطر واحد\n",
    "df_long = pd.melt(df, id_vars=[\"Model\", \"Metric\"], value_vars=[\"Main Category\", \"Sub Category\", \"Real/Fake\"],\n",
    "                  var_name=\"Category\", value_name=\"Score\")\n",
    "\n",
    "# ✅ Pivot الجدول لشكله النهائي\n",
    "pivot_table = df_long.pivot_table(index=[\"Model\", \"Metric\"], columns=\"Category\", values=\"Score\")\n",
    "\n",
    "# ✅ رسم Heatmap واحد\n",
    "plt.figure(figsize=(12, 10))\n",
    "sns.heatmap(pivot_table, annot=True, cmap=\"coolwarm\", fmt=\".3f\", linewidths=0.5, linecolor=\"black\")\n",
    "plt.title(\"Comparison of Models across Categories and Metrics\", fontsize=16)\n",
    "plt.xticks(rotation=45, ha=\"right\")\n",
    "plt.yticks(rotation=0)\n",
    "plt.tight_layout()\n",
    "\n",
    "# ✅ حفظ الصورة\n",
    "plt.savefig(r\"D:\\PHD Dream\\THESIS\\dataset\\1-csv\\ML files\\pic\\heatmap.png\", dpi=300)\n",
    "print(\"✅ تم حفظ الرسم الكامل: full_comparison_heatmap.png\")\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b992bb3b-f254-49ff-a48e-025bc828b0e7",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}