Analyze the factors impact on revenue

promoimpact.ipynb

{
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   "execution_count": 87,
   "id": "55a28b86-cb55-4857-90b2-818867daec6e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "4d0e190e-9526-4ba9-bac1-d1f7d981726f",
   "metadata": {},
   "outputs": [],
   "source": [
    "his_sales = pd.read_csv(r'C:\\Users\\DELL\\Desktop\\Python\\Project_3_Phan_tich_tac_dong_tac_nhan_anh_huong_den_doanh_thu\\data\\historical_202103151658.csv', low_memory=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "b407ae15-9d11-4144-abf4-76a256c6008c",
   "metadata": {},
   "outputs": [],
   "source": [
    "promo_filter = pd.read_csv(r'C:\\Users\\DELL\\Desktop\\Python\\Project_3_Phan_tich_tac_dong_tac_nhan_anh_huong_den_doanh_thu\\data\\promo_filter.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "38ac1e65-6f3d-4caa-aa30-9a247d2c426a",
   "metadata": {},
   "outputs": [],
   "source": [
    "price_filter = pd.read_csv(r'C:\\Users\\DELL\\Desktop\\Python\\Project_3_Phan_tich_tac_dong_tac_nhan_anh_huong_den_doanh_thu\\data\\price_filter.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "bc574e07-378b-4224-9455-f4027f2c1a7e",
   "metadata": {},
   "outputs": [],
   "source": [
    "holiday = pd.read_csv(r'C:\\Users\\DELL\\Desktop\\Python\\Project_3_Phan_tich_tac_dong_tac_nhan_anh_huong_den_doanh_thu\\data\\holiday.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "32efcf78-2b43-4546-8aa9-1f89f0de0c3a",
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    {
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       "dtype('O')"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "holiday.TheDate.dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "4581b149-1859-4e08-84bc-160ec9e82206",
   "metadata": {},
   "outputs": [],
   "source": [
    "holiday.TheDate = holiday.TheDate.str[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "faf00407-a355-4530-88ff-7092728bca21",
   "metadata": {},
   "outputs": [],
   "source": [
    "holiday.TheDate = pd.to_datetime(holiday['TheDate'], format='%Y-%m-%d')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "519f5342-9a49-4a01-8801-e159917c9320",
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       "dtype('<M8[ns]')"
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     "execution_count": 95,
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    "holiday.TheDate.dtype"
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   "cell_type": "code",
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     "execution_count": 96,
     "metadata": {},
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   ],
   "source": [
    "his_sales.date.dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "0991bd16-a20a-4221-a8c5-f981df0eb33d",
   "metadata": {},
   "outputs": [],
   "source": [
    "his_sales.date = pd.to_datetime(his_sales['date'], format='%d/%m/%Y')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "548417ae-f6d9-4b52-b11d-0bc166e86fdc",
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     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "promo_filter.prm_weekEndDate.dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "03a80ae2-5b54-421b-9d34-d7dfe63ca02d",
   "metadata": {},
   "outputs": [],
   "source": [
    "promo_filter.prm_weekEndDate = promo_filter.prm_weekEndDate.astype('str')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "1f673001-787a-4996-a6ff-997995c7fefe",
   "metadata": {},
   "outputs": [],
   "source": [
    "promo_filter.prm_weekStartDate = promo_filter.prm_weekStartDate.astype('str')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "8b69c710-7c16-40e4-947f-852adca26d62",
   "metadata": {},
   "outputs": [],
   "source": [
    "promo_filter.prm_weekEndDate = pd.to_datetime(promo_filter.prm_weekEndDate, format='%Y%m%d')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "e680725c-5101-4a40-9ee6-fc949261e8bc",
   "metadata": {},
   "outputs": [],
   "source": [
    "promo_filter.prm_weekStartDate = pd.to_datetime(promo_filter.prm_weekStartDate, format='%Y%m%d')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
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     "execution_count": 103,
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   ],
   "source": [
    "price_filter.prc_startDate.dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "938bdd5a-a30e-4995-bc86-3b9b47e0343c",
   "metadata": {},
   "outputs": [],
   "source": [
    "price_filter.prc_startDate = price_filter.prc_startDate.astype('str')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "6a28be8c-4d14-422d-b0f0-36cab81bee04",
   "metadata": {},
   "outputs": [],
   "source": [
    "price_filter.prc_startDate = pd.to_datetime(price_filter.prc_startDate, format='%Y%m%d')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "eb72f922-6c13-4aff-bdc8-2498fb85bf49",
   "metadata": {},
   "outputs": [],
   "source": [
    "his_sales['revenue']= his_sales.sold * his_sales.price"
   ]
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  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "bdbcd138-1bfe-4482-8db9-7e5de248e1eb",
   "metadata": {},
   "outputs": [],
   "source": [
    "sum_his_sales = his_sales[['sku','revenue']].groupby('sku').sum().reset_index()"
   ]
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   "execution_count": 108,
   "id": "18b6062c-99aa-4e29-83a6-d13a98f466a1",
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       "          sku      revenue\n",
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   "source": [
    "sum_his_sales.sort_values(by='revenue', ascending=False)"
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   "cell_type": "code",
   "execution_count": 109,
   "id": "4cdfcf86-3df7-416d-b0ee-65e1c351fe31",
   "metadata": {},
   "outputs": [],
   "source": [
    "avg_his_sales = his_sales[['date','revenue']].groupby('date').mean().reset_index()"
   ]
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   "execution_count": 110,
   "id": "66a4111b-0fd0-4609-84a5-7353b271e7d1",
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       "          date      revenue\n",
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     "execution_count": 110,
     "metadata": {},
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   "source": [
    "avg_his_sales.sort_values(by='revenue', ascending=False)"
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  {
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   "execution_count": 111,
   "id": "e2ebe37f-6220-4995-a8b4-5b08a26ee9af",
   "metadata": {},
   "outputs": [],
   "source": [
    "his_sales['quarter'] = his_sales['date'].dt.quarter"
   ]
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   "cell_type": "code",
   "execution_count": 112,
   "id": "36035a70-d82e-4f2a-8785-abfc8a3393b5",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048570</th>\n",
       "      <td>V4C-00064</td>\n",
       "      <td>2021-01-17</td>\n",
       "      <td>0</td>\n",
       "      <td>1299.99</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048571</th>\n",
       "      <td>V4C-00064</td>\n",
       "      <td>2021-01-17</td>\n",
       "      <td>0</td>\n",
       "      <td>1299.99</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048572</th>\n",
       "      <td>V4C-00064</td>\n",
       "      <td>2021-01-17</td>\n",
       "      <td>1</td>\n",
       "      <td>1299.99</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1299.99</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048573</th>\n",
       "      <td>V4C-00064</td>\n",
       "      <td>2021-01-17</td>\n",
       "      <td>0</td>\n",
       "      <td>1299.99</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048574</th>\n",
       "      <td>V4C-00064</td>\n",
       "      <td>2021-01-17</td>\n",
       "      <td>0</td>\n",
       "      <td>1299.99</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1048575 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               sku       date  sold    price  promoprice promos  revenue  \\\n",
       "0        DAG-00114 2018-10-02     3  1299.00         0.0    NaN  3897.00   \n",
       "1        DAG-00114 2018-10-03     1  1299.00         0.0    NaN  1299.00   \n",
       "2        DAG-00114 2018-10-03     3  1299.00         0.0    NaN  3897.00   \n",
       "3        DAG-00114 2018-10-04     3  1299.00         0.0    NaN  3897.00   \n",
       "4        DAG-00114 2018-10-05     2  1299.00         0.0    NaN  2598.00   \n",
       "...            ...        ...   ...      ...         ...    ...      ...   \n",
       "1048570  V4C-00064 2021-01-17     0  1299.99         0.0    NaN     0.00   \n",
       "1048571  V4C-00064 2021-01-17     0  1299.99         0.0    NaN     0.00   \n",
       "1048572  V4C-00064 2021-01-17     1  1299.99         0.0    NaN  1299.99   \n",
       "1048573  V4C-00064 2021-01-17     0  1299.99         0.0    NaN     0.00   \n",
       "1048574  V4C-00064 2021-01-17     0  1299.99         0.0    NaN     0.00   \n",
       "\n",
       "         quarter  \n",
       "0              4  \n",
       "1              4  \n",
       "2              4  \n",
       "3              4  \n",
       "4              4  \n",
       "...          ...  \n",
       "1048570        1  \n",
       "1048571        1  \n",
       "1048572        1  \n",
       "1048573        1  \n",
       "1048574        1  \n",
       "\n",
       "[1048575 rows x 8 columns]"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "his_sales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "70b74d5c-14bd-4066-bc26-f50f807ada93",
   "metadata": {},
   "outputs": [],
   "source": [
    "sumbyq_his_sales = his_sales[['sku','quarter','revenue']].groupby(['sku','quarter']).sum().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "4df311e7-1edc-4aee-93b8-df3b5ebb6f05",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sku</th>\n",
       "      <th>quarter</th>\n",
       "      <th>revenue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>LQL-00001</td>\n",
       "      <td>3</td>\n",
       "      <td>18186795.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>V4C-00022</td>\n",
       "      <td>1</td>\n",
       "      <td>16730579.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>DAG-00114</td>\n",
       "      <td>3</td>\n",
       "      <td>15650352.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>LQL-00001</td>\n",
       "      <td>2</td>\n",
       "      <td>13483503.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>V4C-00022</td>\n",
       "      <td>4</td>\n",
       "      <td>12713675.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>LQQ-00024</td>\n",
       "      <td>1</td>\n",
       "      <td>129519.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>LQS-00024</td>\n",
       "      <td>1</td>\n",
       "      <td>92358.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>LQU-00001</td>\n",
       "      <td>2</td>\n",
       "      <td>86368.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>LQU-00001</td>\n",
       "      <td>1</td>\n",
       "      <td>80970.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>LQU-00001</td>\n",
       "      <td>4</td>\n",
       "      <td>72873.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>72 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          sku  quarter      revenue\n",
       "14  LQL-00001        3  18186795.00\n",
       "60  V4C-00022        1  16730579.97\n",
       "2   DAG-00114        3  15650352.00\n",
       "13  LQL-00001        2  13483503.00\n",
       "63  V4C-00022        4  12713675.97\n",
       "..        ...      ...          ...\n",
       "32  LQQ-00024        1    129519.00\n",
       "44  LQS-00024        1     92358.00\n",
       "53  LQU-00001        2     86368.00\n",
       "52  LQU-00001        1     80970.00\n",
       "55  LQU-00001        4     72873.00\n",
       "\n",
       "[72 rows x 3 columns]"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sumbyq_his_sales.sort_values(by='revenue', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "45112276-c4dd-46cc-ad9a-c5809b5d8ed6",
   "metadata": {},
   "outputs": [],
   "source": [
    "his_sales.quarter = his_sales.quarter.astype('str')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "790d8638-fb0a-43ea-a3bd-7a90bcc90dea",
   "metadata": {},
   "outputs": [],
   "source": [
    "q3_hissales = sumbyq_his_sales[sumbyq_his_sales.quarter == 3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "91ab1f4d-be2e-4918-bf3e-d1bf7299aafd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1e62f41e970>"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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3Qjrc9RauXqFUnjvD/k2z2bZ8DEV5e295e4QQQoibwa4jBkpLS+nQoQPjxo3jvvvuu2L9t99+m3/+85/W10ajkQ4dOvCnP/3Jpl6bNm1Yt26d9fX5fS2FEEIIUT+Unc0mO+17stO/p6LkwjZPnk1iMcQOJyjyLpxc6seQXUVRaBp2O/7NenBs7zIyd3xI8al9bFsxhqCoIUTFPY2Le1N7N1MIIYS4bnbtMd99993cfffdV13f29sbb29v6+sVK1ZQUFBQYyEHnU5X5/tGCiGEEOLGmIwVnDqyiey0leRnbQUsyxzpnD0JihpMSOxwPJvE2LeRtdBonWnR8VGCowdzcOu75Bz4ntyMnziVuYEWncfRvN3DaHUuV76QEEIIUc849KP0jz76iIEDB9bYczIjIwODwYBer6dnz57MmTOnxvYOF6uoqKCiosL6uri4+Ka1WQghhGhszp5JJzttBbkZq6mqKLKW+xq6EdJqBE1b9HOoDrWLWxPa3PEyzVo/QPrvb1B0ci+Htr5LdtoKonpOoWlY31pXuBZCCCHqG4cNBrKzs1m1ahWff/65TXlcXBxLly4lJiaGnJwcZs+eTZ8+fUhJScHT0/OS15ozZ84lt4YQQgghxPUxVpwl99D/yE5bSfGp/dZyF/dADDH3EBwzDDevG9932Z68A9rQdcQScjNWczBpIWXFWez533P4NYsjutdUPHxb2ruJQgghxFWpN9sVKorC8uXLGTFixFXVnzNnDvPmzSM7OxtnZ+fL1issLCQsLIz58+czfvz4S9a51IiB0NBQh9uSRAghhLAnVVUpzNlBVtpKTmauw2y0/G1VNDqahvXFEDsc/2Y9UDRaO7e07hmrznFkxxKO7vkU1VyFomhp1uZPtOz6l3qzVoIQ4vrIdoXCUTX47QpVVWXJkiU88sgjtYYCAD4+PkRHR3Pw4MHL1nFxccHFxXGGMAohhBD1SUXpKbLTfyA77XvKio9by919W2KIHU5w1BCcXX3t2MKbT+fkRmTcJAyxw8nYsoBTRzZxPGUZuQdXEdHtr4TE3tsgAxEhhBANg0MGA5s3b+bgwYOXHQFwsZKSEg4dOsQjjzxyC1omhBBCNA5mUxWnj/1GdtpKzhxPQFVNAGid3AiMGERI7Ai8Ato2urn2bt6hdIifx5kTSaQnvElpwWHSfp3DiX3fENN7Gr6GLvZuohBCCFGDXYOBkpISmyf5mZmZ7Nq1Cz8/P5o3b86sWbPIysriP//5j815H330EXFxcbRt27bGNadOncrQoUMJCwsjOzubl19+Ga1Wy+jRo2/6+xFCCCEautLCI2SnrSQn/Scqy85Yy72DOhASM4KAiIHonNzs2ML6wb9ZHHEPfMGJ/d9weNtiSvIzSP5hAgEtBxLVYzKunsH2bqIQQghhpbHnzbdv306nTp3o1KkTAFOmTKFTp0689NJLAOTk5HDs2DGbc4qKivj2228vO1rgxIkTjB49mpiYGB588EH8/f3ZsmULTZvK/sJCCCHE9TBVlZGd9j3bVo4j8cv7Obr7P1SWncHZ1Y+w9o/Q88Fv6DZ8CYbYYRIKXESj0dG87Sh6jVpOs9YPgKLh5OF1JH55P4e2LcZUVWbvJgohRL00ZswYFEVBURScnJwIDAzkzjvvZMmSJZjN5hr14+Pj0Wq1bNu27ZLXutI6dnv27KFPnz7o9XpCQ0N5/fXXa9T5+uuviY2NRa/X065dO37++Web46qq8tJLLxEcHIyrqysDBw4kIyPDps6OHTu488478fHxwd/fnwkTJlBSUmI9vnv3bkaPHk1oaCiurq60atWKt99+u9a21xW7jhi44447qG3tw6VLl9Yo8/b25ty5c5c9Z9myZXXRNCGEEKJRU1WV4pMpZKWtIO/QGkxV1X97FQ1NQnthiB1Ok+Z90Gid7NtQB+Ds6ktsn1mEtL6fA7+/SWFOMpk7PiA7/Xui4iYTGHFno5tyIYQQV3LXXXfx8ccfYzKZyMvLY/Xq1Tz77LN88803fP/99+h0lq7ssWPHSEhIYNKkSSxZsoRu3bpd032Ki4sZNGgQAwcOZPHixezdu5dx48bh4+PDhAkTAEhISGD06NHMmTOHe+65h88//5wRI0awY8cO6yj2119/nYULF/LJJ58QHh7Oiy++SHx8PPv370ev15Odnc3AgQMZOXIk77zzDsXFxUyePJkxY8bwzTffAJCcnExAQACffvopoaGhJCQkMGHCBLRaLZMmTarDn25N9WZXgvrEUVceFUIIIW5UZVkBORk/k522ktKCQ9ZyV69mGGKGExxzD3r3ADu20LGpqsrJw+vI2LKA8pJcAHyCOhHdeypeTWLt3DohxKU4at/gjyvSq6oKVeX2aYyT/poC0DFjxlBYWMiKFStsyjds2MCAAQP44IMPePzxxwGYPXs2aWlpvPzyy/To0YOcnBxcXV2veK3zFi1axAsvvEBubq51YfuZM2eyYsUK0tLSABg5ciSlpaX8+OOP1vN69OhBx44dWbx4MaqqYjAYeO6555g6dSpgGekeGBjI0qVLGTVqFO+//z4vvvgiOTk5aDSWgft79+6lffv2ZGRkEBkZecn2TZw4kdTUVDZs2HDVP7/zGvyuBEIIIYSoO6rZxJkTSWQfWMGpI5tRzUYANFoXAloOwBA7HN/gziiKXWcgNgiKohAYcSdNwvpwdPd/OLJrKYW5O9n67Z8JaXUvEd3+2uB3cBBC2ElVOZUvDrPLrZ3/3/fg7HrlilfQv39/OnTowHfffcfjjz+Oqqp8/PHHvPvuu8TGxhIZGck333xzTQvPJyYmcvvtt9vsdhcfH8/cuXMpKCjA19eXxMREpkyZYnNefHy8NWzIzMwkNzeXgQMHWo97e3sTFxdHYmIio0aNoqKiAmdnZ2soAFgDjN9+++2ywUBRURF+fn5X/X6ul/yFF0IIIRqpsuIsDm1bxG9fDGXXqqc5eXg9qtmIZ5NWxN42kz6P/I+2/f8ffoauEgrUMa1OT8suE+g18jsCI+IBlazU70hYNoJjez7HbKqydxOFEKJeio2N5ciRIwCsW7eOc+fOER8fD8Cf//xnPvroo2u6Xm5uLoGBgTZl51/n5ubWWufi4xefd6k6/fv3Jzc3lzfeeIPKykoKCgqYOXMmYFlb71ISEhL48ssvrVMabiYZMSCEEEI0IiZjBaeObCQ7bSX5WVut5ToXL4Kj7sYQOwJP/2g7trBx0XsE0W7gP2jW5k+kJ7zB2dMHSE+cR1bqd0T3eg7/0J72bqIQoqFw0lue3Nvp3nVFVVXrtIQlS5YwcuRI63oDo0ePZtq0aRw6dIiIiIga57Zp04ajR48C0KdPH1atWlVn7bqSNm3a8MknnzBlyhRmzZqFVqvlmWeeITAw0GYUwXkpKSkMHz6cl19+mUGDBt309kkwIIQQQjQCZ8+kk5W6gtyDqzBWFFvL/UK6Y4gdTtMW/dDqXOzYwsbNN7gT3e/9L9kHVnJw67uUFmay8+dJNAm7neieU3DzDrV3E4UQDk5RlDoZzm9vqamphIeHk5+fz/Lly6mqqmLRokXW4yaTiSVLlvDaa6/VOPfnn3+mqsoyIuv8MP6goCDy8vJs6p1/HRQUVGudi4+fLwsODrap07FjR+vrhx56iIceeoi8vDzc3d1RFIX58+fTsmVLm2vv37+fAQMGMGHCBP7+979f/Q/nBkgwIIQQQjRQVRVnyTu4mqy0lZw9nWotd3EPxBAzFEPMMFy9QuzYQnExRaMlpNV9BLS8k8PJ73Ni35ecPvoLZ44n0Lzdw4R3Ho/O2d3ezRRCCLvZsGEDe/fu5W9/+xufffYZzZo1q7Go4Jo1a5g3bx7/93//h1artTkWFhZW45o9e/bkhRdeoKqqCicny047a9euJSYmBl9fX2ud9evXM3nyZOt5a9eupWdPy6iu8PBwgoKCWL9+vTUIKC4uJikpiaeeeqrGPc9POViyZAl6vZ4777zTemzfvn3079+fxx577JLhxs0iwYADUE0qila2MRJCCHFlqqpSkJNMdtpKTh5ej9lUAYCi0dG0RV8MMSPwbxaHotFe4UrCXpxcPInp9RzNWt1HesI8zpxI5OjuT8jJ+JHI7k8THD1E1nwQQjR4FRUV5Obm2mxXeH67wEcffZQuXbrwwAMPWLcLPC80NJRZs2axevVqhgwZcsX7PPTQQ8yePZvx48czY8YMUlJSePvtt3nrrbesdZ599ln69u3LvHnzGDJkCMuWLWP79u28//77gGU0xuTJk3n11VeJioqybldoMBgYMWKE9TrvvPMOvXr1wsPDg7Vr1zJt2jT++c9/4uPjA1imD/Tv35/4+HimTJliXZ9Aq9XStGnTG/yJ1k6CgXquLKGKc5uM+D6rR+Mu4YAQQohLKy89Sc6BH8k+sJKy4hPWcnffCAyxwwmOGiyr3TsYd99wOg7+F6eP/Up6wnzKio+zf9MrnNj/NTG9puEd2M7eTRRCiJtm9erVBAcHo9Pp8PX1pUOHDixcuJDHHnuMnTt3snv3bj744IMa53l7ezNgwAA++ugjhgwZgtlstq5BcCne3t6sWbOGiRMn0qVLF5o0acJLL71ks+Bfr169+Pzzz/n73//O888/T1RUFCtWrLAJJaZPn05paSkTJkygsLCQ2267jdWrV9tsE7h161ZefvllSkpKiI2N5b333rPZQeGbb77h1KlTfPrpp3z66afW8rCwMOuCizeLoqqqelPv4IDqy16l5nKVMy+WYS5W0TXX4DtZwgEhhBAXmE1VnD72K9lpKzl9PAFUMwBaJzeCIuIxxA7HK6DtNe0dLeons6mSY3u/IHPHh5iqzgEQHD2EyO5P4+J+c58iCdHY1Ze+wbW6lj3sG7K77rqLyMhI3nnnHXs35Za7lt8BGTFQj2n0Cr5/05M/vwzjMTMFC8olHBBCCEFpQSbZaSvJyfiJyrJ8a7lPUEcMscMJbHknWifHX2BKXKDROtOi42MERw3m4NZ3yUn/gZz0nziZuZHwTuNo3v5hNFrnK19ICCEaiYKCAn7//Xc2bdrEk08+ae/m1HsyYuAS6lsqaMwyk/9WGepZZOSAEEI0Usaqc+QdWkt22kqK8nZby51d/QiOHoohdhjuPi3s10BxSxWdTOHA729QfDIFAFevZkT3nEKTsNtlhIgQday+9Q2uVmMfMXDvvfeybds2HnvsMV599dVG+W/jtfwOSDBwCfXxw2/MMpM/vwy1BHRh1eGAW+P75RZCiMZEVVWKT6aQlbaCvENrrEPIUTQ0Ce2NIXY4TZrfhkbrZN+GCrtQVTO5GavISFpI5bnTAPg160F0r+fw8G15hbOFEFerPvYNrkZjDwaETCVokHQhGvymuFqmFRy9aFqBhANCCNHgVJYVkJPxE9lpKyktOGwtd/UKxRA7DEP0UJlXLlAUDcHRQ2ja4g6O7PyYo3s+Jf/EFpK+HkWzNg/SsusEnFwcpxMjhBDCfiQYcCC6EA2+U1wpkHBACCEaHNVs4syJLWSnreTU0c2oZiMAGp0LAeEDCYkdjk9w50Y5FFLUTufsTmTcJAyxw8nY8hanjmzmeMoX5B5cRUS3vxISO0K2pxRCCFErmUpwCfV9uFDVCTMF88tQS0HXQmPZylDCASGEcEhlxVlkH1hJ9oEfqSjNs5Z7NW2NIXY4QRHx6Fw87dhC4WjOnNhC+u9vUlqYCYCHfwwxvabia+hs55YJ4Zjqe9/gcmQqgZA1Bm6QI3z4a4QDk/VoXCUcEEIIR2AyVnAqcwNZaSspyN5mLXdy8SYo6m4MscPx9I+2YwuFozObqjix/xsOb38PY+VZAAJb3klUj2fRewbbuXVCOBZH6BtcigQDQtYYaAScmmnw/ZuegrfKMR65aFqBhANCCFFvFZ9OIzttJbkZq6ydNVDwa9YdQ8wImrboi1bnYtc2ioZBo3WiebvRBEXexaHti8hKXU7e4bWcOvYLLTqMIazDI7KlpRBCCCsZMXAJjpQKVh03UfBWuYwcEEKIeqqqopjcjNVkH1jB2dMHrOUuHoEYoodhiB2Gq6fBji0UjcHZ0wc4kPAmhTk7ANB7BBHV41kCWt4p61YIcQWO1De4mIwYEDJioBFxCtXajBwofLscn2clHBBCCHtSVTMF2clkp63kZOYGzKYKABSNjqYt7iAkdjh+IXGyIJy4ZTybxNBl6PucPLyW9C0LKC/JZe+6WfgEf01Mr6l4NomxdxOFEELYkcbeDRA37nw4oLhDVaYlHDCXyUAQIYS41cpLT5K54yMSlo1gx49PkntwFWZTBe5+EUT3fI4+f15N+zvn4h/aS0IBccspikJgxCB6PfgtLbv8BY3OhcKcHSR992dSf/kHlWUF9m6iEEIAMGbMGBRFQVEUnJycCAwM5M4772TJkiWYzeYa9ePj49FqtWzbtu2S1xoxYsQ13X/Pnj306dMHvV5PaGgor7/+eo06X3/9NbGxsej1etq1a8fPP/9sc1xVVV566SWCg4NxdXVl4MCBZGRk2NTZsWMHd955Jz4+Pvj7+zNhwgRKSkqsx3fv3s3o0aMJDQ3F1dWVVq1a8fbbb1/Te7laEgw0EE6hWnwnSzgghBC3mtlUxcnDG9i56hl++2wIh7b9m7LiLLRO7oS0uo9u935Cjwe+pHn7h3B29bV3c4VA6+RKy64T6PXgtwRGDALVTFbqtyQsu5djez/HbKqydxOFEIK77rqLnJwcjhw5wqpVq+jXrx/PPvss99xzD0aj0Vrv2LFjJCQkMGnSJJYsWXLD9y0uLmbQoEGEhYWRnJzMG2+8wSuvvML7779vrZOQkMDo0aMZP348O3fuZMSIEYwYMYKUlBRrnddff52FCxeyePFikpKScHd3Jz4+nvLycgCys7MZOHAgkZGRJCUlsXr1avbt28eYMWOs10hOTiYgIIBPP/2Uffv28cILLzBr1izeeeedG36ffyRrDFyCo84jAqg6Vr3mwDlwaqnB5xmZViCEEDdDaUEmWWkryEn/iaryC09afYI6YYgdTmDLgbK4m3AIBdk7OJDwJiVnLGtguPu2JLrXc/g362HnlglRPzhq3+CP88tVVUU1ltulLYpOf03rmYwZM4bCwkJWrFhhU75hwwYGDBjABx98wOOPPw7A7NmzSUtL4+WXX6ZHjx7k5OTg6up6xWtdzqJFi3jhhRfIzc3F2dkZgJkzZ7JixQrS0tIAGDlyJKWlpfz444/W83r06EHHjh1ZvHgxqqpiMBh47rnnmDp1KgBFRUUEBgaydOlSRo0axfvvv8+LL75ITk4OGo3lef3evXtp3749GRkZREZGXrJ9EydOJDU1lQ0bNlzxvcgaA42YU/MLaw5UHTZTuLBcwgEhhKgjxqpz5B1aQ3baSory9ljLnV39CY6+B0PsMNx9WtivgUJcB19DZ+Lu+y9ZaSs5tO1dSgsOs/OniTQJ60t0z7/h5h1q7yYKIeqAaiwnbeFtdrl37DO/odRBWN6/f386dOjAd999x+OPP46qqnz88ce8++67xMbGEhkZyTfffMMjjzxy3fdITEzk9ttvt4YCYJmqMHfuXAoKCvD19SUxMZEpU6bYnBcfH28NHzIzM8nNzWXgwIHW497e3sTFxZGYmMioUaOoqKjA2dnZGgoA1kDjt99+u2wwUFRUhJ+f33W/v8uRqQQN0PlwQHHDEg78qxxzuQwMEUKI66GqKoW5e9i/+f/49b/xpG7+fxTl7UFRtDQJu5328fO47eGfiOrxjIQCwmEpGi3NWt9Hr1HLCW07GkXRcvroZhK/+hMHk/6FsbLU3k0UQggAYmNjOXLkCADr1q3j3LlzxMfHA/DnP/+Zjz766Iaun5ubS2BgoE3Z+de5ubm11rn4+MXnXapO//79yc3N5Y033qCyspKCggJmzpwJQE5OziXblpCQwJdffsmECRNu5C1ekowYaKBsRg4cumjkgF5GDgghxNWoLMsnJ/0nstNWUlqYaS13826OIWYYwdH34OLe1I4tFKLuObl4EdN7KiGt7yM9YR75J7ZwZNdSstN/JDLuaYKjBqMo8lxJCEek6PTEPvOb3e5dV1RVtU5LWLJkCSNHjkSns3RrR48ezbRp0zh06BARERFXvFabNm04evQoAH369GHVqlV11s6rufcnn3zClClTmDVrFlqtlmeeeYbAwECbUQTnpaSkMHz4cF5++WUGDRpU5+2RYKABc2puWZCwYIGEA0IIcTVUs4kzJxLJSlvJ6aObUc0mADQ6FwJbDsQQMwKf4E6y77to8Dx8W9Jp8DucPvoL6YnzKSs+wf6NL3Ni39fE9J6Gd0BbezdRCHGNFEWpk+H89paamkp4eDj5+fksX76cqqoqFi1aZD1uMplYsmQJr7322hWv9fPPP1NVZVlw9fww/qCgIPLy8mzqnX8dFBRUa52Lj58vCw4OtqnTsWNH6+uHHnqIhx56iLy8PNzd3VEUhfnz59OyZUuba+/fv58BAwYwYcIE/v73v1/xfV0PiXwbOKew6t0K3LCEAzKtQAghajhXfIKDW//Nb5/fw65Vz3IqcwOq2YRX0zbE9nme2//8P9r0+z98DZ0lFBCNhqIoNG3Rl54Pfk1k3NNondwoPpnCtuWPsW/jy1SUnrJ3E4UQjcyGDRvYu3cv999/P5999hnNmjVj9+7d7Nq1y/rfvHnzWLp0KSaT6YrXCwsLIzIyksjISEJCQgDo2bMnv/zyizUwAFi7di0xMTH4+vpa66xfv97mWmvXrqVnz54AhIeHExQUZFOnuLiYpKQka52LBQYG4uHhwZdffoler+fOO++0Htu3bx/9+vXjscceu6qw43rJiIFGwClMi++zegreLqfqoCUc8HlaRg4IIRo3k7Gck5kbyE5bSUH2dmu5k4s3QVGDCYkdjod/lB1bKET9oNE606LjGIKjhnBw6zvkpP9ITvqPnMzcQHjn8TRv9xAarfOVLySEENegoqKC3NxcTCYTeXl5rF69mjlz5nDPPffw6KOP0qVLFx544AHatrUdwRQaGsqsWbNYvXo1Q4YMASwL9u3atcumnr+/P6GhNRdXfeihh5g9ezbjx49nxowZpKSk8Pbbb/PWW29Z6zz77LP07duXefPmMWTIEJYtW8b27dutWxoqisLkyZN59dVXiYqKIjw8nBdffBGDwcCIESOs13nnnXfo1asXHh4erF27lmnTpvHPf/4THx8fwDJ9oH///sTHxzNlyhTr+gRarZamTet2OqNsV3gJjrolyZVUHTFRsKActQycIjUSDgghGqXiU6lkp60k9+BqjJVnq0sV/JrFERI7nKYt7pBOTgOkqipq5gmMv+0Ak4qmTQTa1hEoHm72bprDKcrby4GENyg+uQ8AV69QontOoUlYHxlRIxokR+0bXMtWdfXNmDFj+OSTTwDQ6XT4+vrSoUMHHnroIR577DF27txJ165d2bp1K926datx/uDBg9Hr9Xz33Xc217rY+PHj+fDDDy95/z179jBx4kS2bdtGkyZNePrpp5kxY4ZNna+//pq///3vHDlyhKioKF5//XUGDx5sPa6qKi+//DLvv/8+hYWF3Hbbbfz73/8mOjraWufRRx/lp59+oqSkhNjYWKZOnWqzo8Irr7zC7Nmza7QvLCzMugBjba7ld0CCgUtw1A//1ZBwQAjRGFVVFJObsZqstBXWvdoB9B5BBMcMwxAzDFfP4FquIByValYxpx7CuD4J9UiW7UFFQdOyGZp2UWjbRqH4edunkQ5IVc3kZPzMwaSFVJ47A4B/s55E93oOd99wO7dOiLrlqH0DRw4GRN2QYOAGOeqH/2pVZZooeLs6HIjS4DNJwgEhRMOjqmYKsreTnbaSk5kbMJsqAVA0TgS0uAND7HD8QrqjaLR2bqm4GVSTCfPONIwbklBzT1sKtVq03duieHlgSslAzTppc44SEoC2XTSatlEowU3k6fdVMFaWkrnzI47t+RzVXGXZ9rDNSFp2mYCTi6e9mydEnXDUvoEEA0KCgRvkqB/+a1GVWT1yoNwSDvg+rUdxkS9AQgjHV16SR3b6D+SkfU/Z2QtPiD38IjHEDicoajDOeh/7NVDcVGplFaatezFt2oaaX2QpdHFG26sjur5dUbw8rHXNZwoxpxzEtDcdNTMLLvpKpPj7WEYStItCCTOgXGLrKHHBuaLjpCe+xemjmwFw0vsQ0W0iIbHDJXwTDs9R+wYSDAgJBm6Qo374r5WEA0KIhsJsquLU0V/ITlvJmROJoJoB0Dq7ExRxF4bY4Xg1bS1PgBswtawc0+87Mf6SDCXnLIUebuhu74K2dycU19q/EKkl5zDtO4g5JQPzgSNgvGg1aw83tG0j0bSNQhMdhqKTtZsv58zxRNIT5lFamAmAh38MMb2n4Rvcyc4tE+L6OWrfQIIBIcHADXLUD//1sAkHojX4TpJwQAjhOEoKDpOdtoKc9J+pKi+wlvsEd8YQO5zA8AFoG8CezeLy1OISjJu3Y0rYBRWW6SL4eqHr1x1t93Yozk7Xfs2KSsxpmZj2ZmDefwjKKy4cdHFC06qlZcpBbEsUV5e6eSMNiNlUxYn9X3N4+3sYK0sACIwYRFSPZ9F7BNm5dUJcO0ftG0gwICQYuEGO+uG/XpWHTRS+LeGAEMIxGCtLyTu0huy0lRSd3Gstd3bzxxA9FEPscNy8m9uxheJWMJ8uwLRxK6ZtKdan+0pQE3T949B0ikXR1s3wddVownzoOOaUDEx7M6C45MJBrQZNVBiatlFo20baTFMQUFlWwKFti8hK/Q5Q0ehcaNFxDGEdHkWrk06KcByO2jeQYEBIMHCDHPXDfyNswoEYDb4TJRwQQtQfqqpSlLeH7LSV5B1ag8lYBoCiaPFvfhshsSPwb94LjUaGeDd05qw8jBuSMO86YF0TQGkRgm5AHJpWESiam/e3SzWrqMdzMe1Nx5ySgXoy/8JBBZQwA9q2UWjaRaFp6nfT2uFozp4+wIHf36Awdydg2Q0kqsdkAloOlOk9wiE4at9AggEhwcANctQP/42qEQ5M0qM4yx9sIYT9VJblk5P+I1lpKzlXeMRa7uYdhiF2GMFRQ3Bxb2q/BopbQlVV1MMnMK5Pwpx22FquiW2JbmAcSngzu3QwzXlnrCMJ1GM5NseUoCaWkQTtolCaBTb6DrCqqpw8vJb0LQuoKMkDwCe4CzG9p+LpH32Fs4WwL0ftG0gwICQYuEGO+uGvC5WHTBQulHBACGE/ZrOR/OOJZKWt5PSxX1DNlmHiGp2ewJYDMcSOwCeoY6PvaDUGqlnFnHoI4/ok1CPVO0woCpqOMej690ATEmDfBl5ELTxrWbxwbwbmg8fAbL5w0MfzwkiClqEo2sa7w4Gpqowju//D0V2fYDZVgKIhpNW9RHR9CmdXX3s3T4hLctS+gQQDwmGCgV9++YU33niD5ORkcnJyWL58OSNGjLhs/U2bNtGvX78a5Tk5OQQFXVjM5t133+WNN94gNzeXDh068K9//Yvu3btfdbsc9cNfVyoPVY8cqADnGA0+Eg4IIW6Bc0XHyT7wPTkHfqDi3ClruVdAGwwxIwiKHITOWeZwNwaqyYR5ZxrGDUmouacthTot2u7t0N7RDU2T+t2BVM+VY049ZFm8MC0TKqsuHHTTo2kdYVm8MKbFdS2O2BCUn80hY8vb5B1eC4DO2ZOW3Z6kWav70Wgb589E1F+O2jeQYEBcy++AXSdjlpaW0qFDB8aNG8d999131ecdOHDA5kMZEHDhicGXX37JlClTWLx4MXFxcSxYsID4+HgOHDhgU09cnnOEFp9n9RS+XU7lATOF75bjM1HCASFE3TMZyzl5eAPZB1ZQkJ1sLXfSexMUNYSQ2OF4+EXasYXiVlIrqzAl7cW4aSsUFFsKXZzR9u6E7vYuDrO4n+KmR9ulDdoubVArqzBnHMW8NwPTvoNQWoZ5+z7M2/eBkw5NTDjadlFoWkeguDeeHTT0nsG0u/OfNMv+EwcS3qTkTDrpv79B1v5vie41Ff9mcfZuohBCNCp2Hct299138+qrr3Lvvfde03kBAQEEBQVZ/9NoLryN+fPn88QTTzB27Fhat27N4sWLcXNzY8mSJXXd/AbtfDiguEBlmpnCf5ejVsqsEyFE3Sg+lUrar3P49b/x7Nv4YnUooODfrCftBv6TPn9eTUyv5yQUaCTUsnKMaxOpePU9jMvXWUIBDzd0g2/H5aUncbqnr8OEAn+kODuhbROJ06i7cXllIs4TR6O9vQuKnzdUGTGnZFD1xc9UvPwOlf9ehvHXZNTzoUgj4GvoQtx9nxLb53mc9N6UFhxm509/Zff/pnCu6Li9myeEsJMxY8bUOpI8ISGBwYMH4+vri16vp127dsyfPx+TyWRTT1EUVqxYcU33fvfdd2nRogV6vZ64uDi2bt1qc7y8vJyJEyfi7++Ph4cH999/P3l5eTZ1jh07xpAhQ3BzcyMgIIBp06ZhNBpt6mzatInOnTvj4uJCZGQkS5cutTn+yy+/MHToUAwGw3W9j2vlkMs3d+zYkYqKCtq2bcsrr7xC7969AaisrCQ5OZlZs2ZZ62o0GgYOHEhiYuJlr1dRUUFFxYU9iouLG88f5No4R2jxeUZP4cJyKlMt4YDPX2XkgBDi+lSVF5FzcBXZad9TcuaAtVzvEYwhdhiG6KHoPYPt2EJxq6nFJRg3b8eUsAsqKgFQ/LzR9uuOtlvbBjfMXtFqUCJC0USEog7vj5p90jLdYG8Gas4pzAePYT54DOPy9SjNAi0jCdpGoQQ1adBraigaLc1a309gxJ0c3v4+J/Z9xakjmzl9LIGw9n+mRedx6Jzc7N1MIUQ9sXz5ch588EHGjh3Lxo0b8fHxYd26dUyfPp3ExES++uqr6/4382pGn//tb3/jp59+4uuvv8bb25tJkyZx33338fvvvwNgMpkYMmQIQUFBJCQkkJOTw6OPPoqTkxP/+Mc/AMjMzGTIkCE8+eSTfPbZZ6xfv57HH3+c4OBg4uPjgesfXX+96s3ig4qiXHGNgQMHDrBp0ya6du1KRUUFH374If/9739JSkqic+fOZGdnExISQkJCAj179rSeN336dDZv3kxSUtIlr/vKK68we/bsGuWONo/oZqk8WL0gYQU4t9JIOCCEuGqqaqYgaztZB1ZwKnMjZlN150/jREB4PwyxI/AL6YaiNN7F2Boj86kCTBu3YtqWAtVPd5SgJpYtBzu2apSL85nPFFqmG6RkoGaegIu+nSlNfKp3OIhGCTPc1C0Z64OSgsOkJ7xJ/gnL9zZntyZExT1DUNTd8m+FsIuGssaAqqqYjeV2aYtGp7+mzvqYMWMoLCys8ZS8tLSUsLAw+vbty7fffmtz7IcffmDYsGEsW7aMkSNHAlfXx7xYXFwc3bp145133gHAbDYTGhrK008/zcyZMykqKqJp06Z8/vnnPPDAAwCkpaXRqlUrEhMT6dGjB6tWreKee+4hOzubwMBAABYvXsyMGTM4deoUzs7OzJgxg59++omUlBTrvUeNGkVhYSGrV6+u0a5rfR/nOcwaA9cqJiaGmJgY6+tevXpx6NAh3nrrLf773/9e93VnzZrFlClTrK+Li4sJDQ29obY2JM6RMnJACHFtyktyyT7wAzkHfqDsbJa13MMvCkPscIKi7sZZ72O/Bgq7MGflWbYc3H0Aqp9LKC1CLIFAq4gG3+GtjcbfB80d3dDd0Q31bCmmfYcwp6RjTj+KeroQ06ZtmDZtA093tG0iLTscRDVH0TnUV7mr4uHbkk6D3+XU0c1kJM6nrDiLfRtf4sS+r4nuPQ3vgDb2bqIQDslsLGfjktvscu9+435D63Tj66isWbOGM2fOMHXq1BrHhg4dSnR0NF988YU1GLgWVzP6PDk5maqqKgYOHGitExsbS/Pmza3BQGJiIu3atbOGAgDx8fE89dRT7Nu3j06dOpGYmGhzjfN1Jk+efM3trisO/9eke/fu/PbbbwA0adIErVZbY45HXl6eza4Ff+Ti4oKLi8tNbaejc47U4vO0nsJ/VYcDiyrwecpFwgEhhJXZVMWpo5vJTlvJmeOJnH/kqXV2JyjyLkJiR+DZpFWDHhItalJVFfXQcYwbkiwr9FfTtGppCQRaShD/R4qnO7oe7aFHe9TyCsxpmZhSMjDvPwRnSzFt2Y1py25wcUbTuqVlK8RWLVH0Dee7jKIoBLS4gyahvTi25zMyd3xE0cm9bFv+KMHRQ4mMm4SLWxN7N1MIcYulp6cD0KpVq0sej42Ntda5VqdPn8ZkMtl06AECAwNJS0sDIDc3F2dnZ3x8fGrUyc3Ntda51DXOH6utTnFxMWVlZbi63vrFaB0+GNi1axfBwZY5qc7OznTp0oX169dbh1mYzWbWr1/PpEmT7NjKhsE56qJwYL/JEg781QXFSb7kC9GYleQfIjttJTkZP1FVXmgt9wnuQkjscALC+9fJUwLhWFSzinn/QcuWg0eyLYWKgqZjLLr+cWhCZKegq6HoXdB2jEXbMRbVaMJ86Jh1ygHFpZh3pmHemQZaLZqoMDTtotC2jUTxdLd30+uERutMi05jCY6+h4Nb/0VO+k/kpP/AycwNhHd+nObtRqHROtu7mUI4BI1OT79xv9nt3nWpttnwzs5X/jfh119/5e6777a+fu+99+jXr1+dtM1R2TUYKCkp4eDBg9bXmZmZ7Nq1Cz8/P5o3b86sWbPIysriP//5DwALFiwgPDycNm3aUF5ezocffsiGDRtYs2aN9RpTpkzhscceo2vXrnTv3p0FCxZQWlrK2LFjb/n7a4ico7T4TNJT+E51OPBvCQeEaIyMlaXkHfofWWkrKT55YX6cs1sTDNFDMcQOx81bngQ3RqrJhHlnmiUQyD1tKdRp0XZvh/aObmia+Nq3gQ5M0WnRxoSjjQlHd9+dqMdzqhcvTEc9VYA57TDmtMMYv/kfSosQy0iCtlFomjr+z9zFvSlt+v0fzVr/iQMJb1B8ch8Hk94mK/U7ontNoUnzPjIaSYgrUBTF4YP6qKgoAFJTU+nVq1eN46mpqXTs2PGK1+natSu7du2yvg4MDMTFxeWKo8+DgoKorKyksLDQZtTAH+v8cSeD89e8uM6l7uPl5WWX0QJg52Bg+/btNsnM+Xn+jz32GEuXLiUnJ4djx45Zj1dWVvLcc8+RlZWFm5sb7du3Z926dTbXGDlyJKdOneKll14iNzeXjh07snr16hpDNcT1c462hAMF/5JwQIjGRFVVivJ2k5W6grzDa60LGCmKliZht2GIGYF/815oNA4/GE1cB7WyClPSXoybtlq2GwRwcUbbuxO627s47HaD9ZWiUVDCDGjCDHBPX8x5ZywjCfamox7PRc3MwpiZBT9sQglqYhlJ0C4KJSTQoTvQ3oHt6DZiKTnpP3Fw678oKz7O7tV/wz+0F9E9p+DuG27vJgohbqL4+Hj8/PyYN29ejWDg+++/JyMjgwULFlzxOq6urkRG1twS+Uqjz7t06YKTkxPr16/n/vvvBywL5B87dsy6+H3Pnj157bXXOHnypHUng7Vr1+Ll5UXr1q2tdX7++Webe69du9ZmAf1brd7sSlCfOOrKo7daZbqJgn+VQyU4t9Fa1hyQcECIBqfi3Bly0n8i+8AKzhUetZa7eYdhiB1OcPQQmevbiKnnyjH9vhPjr8lQcs5S6OGG7vauaHt3RHGt2+Gj4srUwrOWNQn2ZmA+dAzMF33V8/WqHkkQiaZlqEPvAGGsLCVzx0cc2/sZqtmIotES2mYU4V2ewMnF097NEw2Io/YNrmVF+vpmzJgxHD16lLfeesum3N/fn6SkJEaNGsW4ceOYNGkSXl5erF+/nmnTpvHAAw/w/vvvW+srisL8+fNrTBOIiorC3b3mlKsvv/ySxx57jPfee886+vyrr74iLS3N+qD5qaee4ueff2bp0qV4eXnx9NNPA5CQkABYtivs2LEjBoOB119/ndzcXB555BEef/xxm+0K27Zty8SJExk3bhwbNmzgmWee4aeffrJuV3jx6PpOnTpZ38f50fVX41p+ByQYuARH/fDbg0040FaLz5MSDgjREJjNRs4cTyA7bSWnj/2KarZsKafR6QlseSchscPxDuro0E8exY1Ri0swbt6OKWEXVFRvQ+nnjbZfd7Td2qI4O9m3gQKwBDfm/YcsUw4OZEJl1YWDbno0bSLRtotCE93CYf83O1d0jPTEtzh99BcAnPS+RHb/K4aY4SgarZ1bJxoCR+0bOHow8Mknn9QoHz9+PB9++CG//vorr732GomJiRQXW0apzZ07l+nTp9vUv9z3lF9//ZXbbrv0Dg3vvPMOb7zxhnX0+cKFC4mLi7MeLy8v57nnnuOLL76goqKC+Ph4/v3vf9ssdn/06FGeeuopNm3ahLu7O4899hj//Oc/0V20k8ymTZv429/+xv79+2nWrBkvvvgiY8aMsTl+qXUPzo+uvxoSDNwgR/3w20vlARMF70g4IERDcK7ouGUhwfQfqTh3ylruFdCWkNjhBEYMQucsQ8IbM/OpAkwbt2LalgImS2CkBDWx7DDQsZVDP4Fu6NTKKszpRzCnHMS07yCUll046OyEJqaFZTRB6wgUd8ebh3zmeAIHEuZxrvAIAJ5NYojpNQ2f4E72bZhweI7aN3DkYOBalJeXM3z4cI4fP87mzZtp2rSpvZtUb0gwcIMc9cNvT5UHqkcOVEk4IISjMVWVcTJzA1lpKynMSbaWO+l9CI4agiF2OB5+EXZsoagPzCfyLFsO7j4A1V8dlBYhlkCgdYSMHnEwqsmMmnkC0/kdDs6vCwGgUdBEhKJpG21Zl8DHcYblm01VnNj3NYeT38NYWQJAYEQ8UT2eQe9x+a2rhaiNo/YNGkswAJb3umDBAqKioqxz/4UEAzfMUT/89ibhgBCOQ1VVzp5OJSttBXkH/2f9Ag0K/qE9McQOp2lYXzRaxxxaLOqGqqqoh45jXJ9kGYZeTdOqJboBPdC0bGbH1om6oqoqatZJ67oEas4pm+NKaJBlukHbKJRAf4cIgSrLCji07d9kpS4HVDQ6PS06jiGswyNo63jbNNHwOWrfoDEFA+LSJBi4QY764a8PKtOqpxVUgXM7LT5/kXBAiPqkqryInIOryE5dQUl+hrVc72nAEDMMQ8xQeaomUM0q5v0HMa5PQj2abSlUFDSdYtH1i0MTEmDfBoqbyny6AHNKBqa9B1GPnICLvikqTX3RtK3e4aC5AUVTv//GF59OI/33NyjM3QWA3iOYqJ6TCQgf4BABh6gfHLVvIMGAkGDgBjnqh7++kHBAiPpFVc3kZ20jO20lp45sxGyyLBSn0TrTtEU/DLHD8QvphqLI3PDGTjWZMO9Mw7ghCTX3tKVQp0XbvR3aft3R+PvYtX3i1lPPlmLad9Cyw0H6Ueu6EgB4uqNtG4mmXTSayOYouvq50J+qquQdWktG0gIqSiz7hvsauhDdaxqe/lF2bp1wBI7aN5BgQEgwcIMc9cNfn1Skmih8V8IBIeyp/GwO2ek/kH3gB8rPZlvLPfyjLdsMRt6Nk97bji0U9YVaWYUpaS/GTVsvzDXXO6Pt1Qnd7V1QvGTBSQFqeQXmtEzLDgeph6C88sJBvTOaVhGWKQex4Sh6F/s19DJMVWUc2fUJR3f/B7OpAhQNzVrdR8tuT+Gs97F380Q95qh9AwkGhAQDN8hRP/z1jU040F6LzwQJB4S42cymSk4d2Ux22krOnNjC+THAOmcPgiLvwhA7As8msTKEVgCWrexMv+/A+EvyhRXqPdzQ9e2KtlcnFNf617kT9YNqNGE+eAzz3nRMKQfhbOmFg1otmugwNO2i0LaJRPGsuVe4PZWdzSFjywJOHl4HgM7Fi5Zd/0Kz1g+g0eiucLZojBy1byDBgJBg4AY56oe/PqoRDvzFBUUnHRIh6lpJ/kGy0laSm/ETVeVF1nJfQxcMMSMICO+H1snxth8TN4dadBbj5u2YEndBhWVfe8XPG22/7mi7tXXY/eyFfahmFfVYtmUkQUoG6qmCCwcVUFo0Q9uuespBPZqOUpCdzIGENyk5kw6Au28EMb2m4tesu51bJuobR+0bSDAgJBi4QY764a+vKvabKPy3JRxw6aDFe4KEA0LUBWNlCbkH15B9YAXFJ/dZy13cmhIcMxRDzDDcvEPt2EJR35hP5WPauBXTtn3WueJKcFN0/ePQdIxF0co6E+LGqKqKmncGc/U2iOrxXJvjSnBTy0iCtlEoIQF2H72kmk1kpS3n0LZ/W0PVpi36EdVzMm5esuuGsHDUvoEEA0KCgRvkqB/++kzCASHqhqqqFObuIjttBXmH12E2lgOgaLQ0aX47IbHD8QvtKcNhhQ3ziTyMG7Zg3p0O1X/2lfAQy5aDrVravXMmGi61oBhTykHMKemYDx0H80VfO3290J7f4SC8mV2DqaryIg4nv8eJfd+gqiY0Wmeat/8zLTqNRefkZrd2ifrBUfsGEgwICQZukKN++Ou7iv1GCt+tAKOEA0Jcq4pzp8lJ/4nstJWcKzpqLXfzCcMQM4Lg6CG4uPnbsYWivlFVFfOh45jWJ2E+kGkt17Ruia5/DzQt5WmouLXU0jLM+w9hSsnAnJYJVcYLB91d0baJRNM2Ek10C7tNZynJP0R6wjzys5IAywisyLhnCIq6WwK0RsxR+wYSDIhr+R2QMYPilnFprcNnogvooGK3iaIPKlCNkksJcTlms5FTR35h9/+m8NungzmYtJBzRUfR6lwJjhlG1+Ef0fPBb2nR8VEJBYSValYxpWRQufAzqv69zBIKKAqazq1wnjoG58cfkFBA2IXi7oq2W1ucx96Ly/97Gqdx96Lp1hbc9FBahmnrXqqWLKfipXeo/HgFpu37UM+V39I2evhF0GnIu7SPn4erVwgV506xb+OLbF85juJT+29pW4RozMaMGcOIESMuezwhIYHBgwfj6+uLXq+nXbt2zJ8/H9PFW6oCiqKg1+s5evSoTfmIESMYM2ZMrW1QVZWXXnqJ4OBgXF1dGThwIBkZGTZ18vPzefjhh/Hy8sLHx4fx48dTUlJiU2fPnj306dMHvV5PaGgor7/+eo17ff3118TGxlrfy88//2xz/LvvvmPQoEH4+/ujKAq7du2qte3XQ8aailvKpbUOn79C4b8rqNhlCQe8J7igaCWFF+K8c0XHyE5bSXb6j1SeO20t9w5ohyF2OIERg9A5169VvoX9qSYT5h2pGDckoeadsRTqtGi7t0Pbr3u9WvRNCMXZyTKNoG0UqsmM+fBxzCkHMaVkQEEx5r3pmPemg0aDJjIUTXVdxcfz5rdNUQhocQf+zXpybO9nHNmxhKK8PWz97lGCY4YS2X0iLm5Nbno7hBCXtnz5ch588EHGjh3Lxo0b8fHxYd26dUyfPp3ExES++uormxE+iqLw0ksv8cknn1zTfV5//XUWLlzIJ598Qnh4OC+++CLx8fHs37/f+vT94YcfJicnh7Vr11JVVcXYsWOZMGECn3/+OWAZbTJo0CAGDhzI4sWL2bt3L+PGjcPHx4cJEyYAlpBj9OjRzJkzh3vuuYfPP/+cESNGsGPHDtq2bQtAaWkpt912Gw8++CBPPPFEXfwYa5CpBJfgqMOFHElFipHCRdXTCjpqJRwQjZ6pqoy8zPVkp62kMGeHtdxJ70Nw9BAMMcPx8IuwYwtFfaVWVmFK2oNx0zYoKLYU6p3R9uqErm/XerdVnBC1UVUVNSvPssPB3gzU3NM2x5XQILTtotG0i0ITeGtGSpWXnuRg0jvkZvwEgNbJnZZdHie07Wg0WtnBozFw1L7BH4eRq6qKyXhrR+Gcp9Xpr2k6zpgxYygsLGTFihU25aWlpYSFhdG3b1++/fZbm2M//PADw4YNY9myZYwcORKwhAJTp05l/vz57N6929rRHjFiBD4+PixduvSS91dVFYPBwHPPPcfUqVMBKCoqIjAwkKVLlzJq1ChSU1Np3bo127Zto2vXrgCsXr2awYMHc+LECQwGA4sWLeKFF14gNzcXZ2dnAGbOnMmKFStIS0sDYOTIkZSWlvLjjz9a79+jRw86duzI4sWLbdp15MgRwsPD2blzJx07drziz/FaphLIiAFhFy5tdfg8BYWLLho58ISEA6JxUVWVs6dTyUpdQe6h1Zgqq/cBVzT4N+uJIXY4TcNuly+e4pLUc+WYft+B8ZdkKC2zFHq4oevbFW2vTiiuLvZtoBDXQVEUlGZBaJoFwd19MJ8qwJySgWlvBurRLNTjuRiP58LPv6AE+FlGErSLQgkNRtHcnO8QevcA2vb/P5q1foD0hDcpPrWPjC1vk5W6nOieU2gS1uem3FeIumYylvPl573tcu+RD/2Org62TV6zZg1nzpyxdtYvNnToUKKjo/niiy+swQBA7969SU9PZ+bMmTad79pkZmaSm5vLwIEDrWXe3t7ExcWRmJjIqFGjSExMxMfHxxoKAAwcOBCNRkNSUhL33nsviYmJ3H777dZQACA+Pp65c+dSUFCAr68viYmJTJkyxeb+8fHxNUKRm02CAWE3NuHATgkHRONRWV5IbsYqstNWUpJ/Ya6a3tOAIWYYhpih6D2C7NhCUZ+pRWcxbt6OKXEXVFQBoPh5o+3XHW23tnZbtE2Im0HT1BdNv+7o+nVHLS7BtO8Q5r0ZmDOOop7Mx7QhCdOGJPDyQNs20jKSIKI5ik5b523xCWpPt3uXkpP+IweT3uFc0TF2rZ6Mf2hvontNwd2nRZ3fUwhhKz09HYBWrVpd8nhsbKy1zsXmzJlD+/bt+fXXX+nT58phXm6uZavVwMBAm/LAwEDrsdzcXAICAmyO63Q6/Pz8bOqEh4fXuMb5Y76+vuTm5tZ6n1tFggFhVzXCgQ8r8H5cwgHR8KiqmfysrWSnreRk5kZUs6VDp9E60zS8HyExI/AN6YqiyJqw4tLMp/IxbdiKafs+qF5cSQluiq5/HJqOsXbd6k2IW0Hx8kDXswP07IBaXoE59bBlh4P9h6G4BFPCLkwJu0DvgqZ1S8uUg9hwFBfnK177qtugaDDEDCMgvD+ZO5ZwbO9nnDn+O1u+3kJo21G07PwEOpebvw6CENdDq9Mz8qHf7XbvulTbbPiLn86f17p1ax599FFmzpzJ77/b/gw+++wz/vKXv1hfr1q1Cq227sPF+k6CAWF3Lm11+DwJhYsrqNgh4YBoWMrP5pB94AeyD3xPeUmOtdzDP4aQ2OEERd2Nk4vjzFcUt575RC7G9UmY9xyA6u9BSngzdAPi0LRqKVuoiUZJ0bug7dQKbadWqEYj5oxjmPdmYNp3EM6WYt6RinlHKui0aKJbVC9eGIni4VYn99c5exDV4xlCWo0gPWE+p4/9yrE9n5GbsYqI7hMxRA9F0TS+joWo3xRFqZPh/PYUFRUFQGpqKr169apxPDU19bJz72fPnk10dHSNIfrDhg0jLi7O+jokJIScHMt3try8PIKDg63H8vLyrNcPCgri5MmTNtcyGo3k5+cTFBRkrZOXl2dT5/zrK9U5f/xWkWBA1Asu7f4QDnxUgfd4CQeEYzKbKjl1ZBNZaSvJP5HE+d6cztmDoMi7McQOx6vppYfACQGWJyHmQ8cxrd+C+cARa7mmdUt0/XvIdoNCXETR6dC2aom2VUt05kGoR7MtIwn2pqOeLsS8/xDm/Ycwfq2ghIegbReFpm1UnezU4ebdnI53L+D0sQTSE9/kXOFRUjf/P07s+5qY3tPwCep4w/cQQlwQHx+Pn58f8+bNqxEMfP/992RkZLBgwYJLnhsaGsqkSZN4/vnniYi4sKCzp6cnnp62I33Cw8MJCgpi/fr11iCguLiYpKQknnrqKQB69uxJYWEhycnJdOnSBYANGzZgNputQUPPnj154YUXqKqqwsnJMtVv7dq1xMTE4Ovra62zfv16Jk+ebL3/2rVr6dmz5/X9kK6TBAOi3rAJB5JNFCHhgHAsJWcyyEpbSe7Bn6kqL7KW+xq6YogdTkB4/zofSicaFtWsYt5/EOO6LajHqkeYaBQ0HVuh698djSGg9gsI0cgpGkvnXxMegnpPX9S8M5j3plsWLzyRh3r4BMbDJ2DlRhRDAJq2kWjbRaMYmt7Q6JsmzXvhF/Ilx/d9xeHk9zh7Oo3tK8cTGBlPVNyz6D0Cr3wRIYSNoqIidu3aZVPm7+/Pe++9x6hRo5gwYQKTJk3Cy8uL9evXM23aNJ544gkGDx582WvOmjWLDz74gMzMTJsFCv9IURQmT57Mq6++SlRUlHW7QoPBwIgRIwDLOgd33XUXTzzxBIsXL6aqqopJkyYxatQoDAYDAA899BCzZ89m/PjxzJgxg5SUFN5++23eeust672effZZ+vbty7x58xgyZAjLli1j+/btvP/++9Y6+fn5HDt2jOzsbAAOHDgAWEYb1NXIAgkGRL3i0k6Hz18kHBCOQ1VV8rO2kpn8PoW5u6zlLu4BBEcPxRAzFDfvUPs1UDgE1WTCvCMV44Yk1LwzlkKdFm1ce7R3dKuTJ5tCNDaKoqAENUET1ATdnb1QC4qrRxJkYD58HDX7JKbsk5jWJKD4eaNpF4W2bRRKeAiK5trX7NBonQhr/zDBUXdzaOu/yUpbQd7B/3HqyGZadBpLWPs/SzgsxDXYtGkTnTp1sikbP348H374IRs3buS1116jT58+FBdbtuqdO3cu06dPr/Wafn5+zJgxg+eff/6K958+fTqlpaVMmDCBwsJCbrvtNlavXm2z7d9nn33GpEmTGDBgABqNhvvvv5+FCxdaj3t7e7NmzRomTpxIly5daNKkCS+99BITJkyw1unVqxeff/45f//733n++eeJiopixYoV1q0VwTIaYuzYsdbXo0aNAuDll1/mlVdeueJ7uRqKWtvKDY2Uo+5V2pBU7DFSuLgCTODSRSvhgKh3zgcCh5Pfoyh3NwCKRkuTsL6ExA7Hv1lPmV8qrkitrMKUtAfjpm1QYPlig94Zbe/O6G7vguLpbt8GCtFAqaVlmPcfwrQ3A/OBTKgyXjjo7oq2TfUOB9EtUJyu7zla8alU0hPetIbGek8DUT0mExDeX9YGcTCO2je4lj3sHVl5eTnDhw/n+PHjbN68maZNm9q7SfXGtfwOSDBwCY764W9oKnYbKXyvOhzoqsV7nIQDwv5UVaUgaxuHk9+zftnTaJ0JaXUfYR0fQ+8uQ73FlannyjH9tgPjr8lQWmYp9HRHd3tXtL06ori62LeBQjQiamUV5gNHMO1Nx7zvEJSVXzjo7IQmNtyyLkHrCBTXa+tcqapK3qE1ZGx5m4pSy+JivoauxPSaiod/VF2+DXETOWrfoLEEA2B5rwsWLCAqKor777/f3s2pNyQYuEGO+uFviGzCgW5avMdKOCDso7ZAoEXHMbi4SzotrkwtPIvxl+2YEndBhWXLSsXPG23/7mi7tkVxdrJvA4Vo5FSTCfPhE5YdDlIyoPDshYMaDZrI5pYpB20iUXyufltCU1UZR3Yt5eju/2I2VYCioVmr+2nZ7Umc9T51/0ZEnXLUvkFjCgbEpUkwcIMc9cPfUJXvNlIk4YCwE1VVKcjexuHt71OYuxM4HwjcS1jHMTJCQFwV88l8TBu3Ytq+D0wmAJTgppYtBzvEomivfT6zEOLmUlUV9USeZbpBSgZq7mmb40rzYMtIgnZRaAL8r+qaZWezydiygJOH1wOgc/EioutThLS+D41Glv6qrxy1byDBgJBg4AY56oe/ISvfZaTofUs4oO+mxUvCAXGTSSAg6oL5RC7G9UmY9xw4v2slSstm6PrHoWnVUuYZC+FAzKfyrSMJ1CPZNseUAD807aItixeGBqFoav9s52dtIz3hTUryDwLg7hdBTK+p+IV0v2ntF9fPUfsGEgwICQZukKN++Bu68l3VIwfMoO+uxWuMhAOi7lkCge0cTn6fwpwdACgaJ8uUgU4SCIgrU1UV88FjmDYkYT5wxFquaR1hGSEQ3sx+jRNC1Am1uARTykHMKRmYM46CyXzhoLcH2rbVIwkiQlG0l16I1mw2kp26nEPbFlFVYdnitml4f6J7TMbVK+RWvA1xlRy1byDBgJBg4AY56oe/MagRDox1uWIqL8TVys/adulAoONjsge1uCLVrGLedxDj+i2ox3IshRoFTcdWlhECBlmHQoiGSC2rwJx22LJ4Yeph6/ohALi6oGkdYQkKYsNRXJxrnF9VXsSh7e+Rtf8bVNWERutM8/aPEN5pLFon11v4TsTlOGrfQIIBIcHADXLUD39jIeGAqGv52dstUwZykoHzgcC9tOg4RgIBcUWqyYR5RyrGDUmoeWcshTod2rh2aO/ohsbfx67tE0LcOqrRiDn9KOaUDEwpB6Hk3IWDOh2amDDLlIPWESgebjbnluQfJD1hHvlZWwFwcQ8gMu5pgiLvlmlHduaofQMJBoQEAzfIUT/8jUn5zuo1ByQcEDdAAgFxI9SKSkxJezFu2nph5XK9M9rendHd3gXF092+DRRC2JVqNqMezbYsXrg3A/VM4YWDioISHoK2XbRlyoGft+UcVeXUkU1kJL5F2dksALwDOxDTexpeTVvZ4V0IcNy+gQQDQoKBG+SoH/7GpnyHkaIPqsOBuOo1ByQcEFfhkoFA7AjLGgIeQXZunajv1NIyTL/vxPhrMpSWWQo93dHd3hVtr44ori72baAQot5RVRU157RlJMHedNSskzbHlZAA67oESnBTzKZKju35jCM7l2AylgEKhthhRHSbiIvb1e2AIOqOo/YNJBgQEgzcIEf98DdGNuFADx1ejzlLOCAuqyA7mcPJ71GQLYGAuHZq4VmMv2zHlLjLOodY8fdB268b2m7tUJxkqzEhxNVR84swpVhGEpgPn4CLvo4r/j5o2kaibRdFRVMnDm17l9yMnwHQOrvTsvMThLYdhUbrZK/mNzqO2jeQYEBcy++AbJwsHJq+sw7vJ1xAA+VbjBR/UolqlqxL2CrITib5hwkk/zCBguxkFI0TzVr/id6jVxDbZ6aEAqJW5pP5VH25iorX3sO0aRtUVKEEN8Xpz/fgPPNxdL06SSgghLgmip83utu74jxxNC6zJ6IbdTeaNpGg06GeKcS0eTuV73yB8sY3xJzqTecOr+LZpBWmylIytixgy9cjOX3sN3u/DSFumjFjxjBixIjLHk9ISGDw4MH4+vqi1+tp164d8+fPx2Qy2dRTFAW9Xs/Ro0dtykeMGMGYMWNqbYOqqrz00ksEBwfj6urKwIEDycjIsKmTn5/Pww8/jJeXFz4+PowfP56SkhKbOnv27KFPnz7o9XpCQ0N5/fXXbY5/8MEH9OnTB19fX3x9fRk4cCBbt269bLuefPJJFEVhwYIFtbb/Wsk3GeHw9J118AQUfVBB+RYjKOD1qIwcEFCQvaN6hMB2ABSNrnqEwFgJA8QVmY/nYtyQhHnPAajOG5WWzdAN6GFZXVwWAxNC1AHFww1d93bQvR1qRSXmA0csown2WRYvNCXtwS0J2rt05lRkFEfYzLmio+xa9Sz+zXsT3fM53H3C7P02hLhlli9fzoMPPsjYsWPZuHEjPj4+rFu3junTp5OYmMhXX31l8zdaURReeuklPvnkk2u6z+uvv87ChQv55JNPCA8P58UXXyQ+Pp79+/dbn74//PDD5OTksHbtWqqqqhg7diwTJkzg888/ByyjTQYNGsTAgQNZvHgxe/fuZdy4cfj4+DBhwgQANm3axOjRo+nVqxd6vZ65c+cyaNAg9u3bR0iI7daly5cvZ8uWLRgMhhv5EV6STCW4BEcdLtTYlScbKfqwelpBT52EA43YZQOBjmPQewbbuXWiPlNVFfPBY5jWJ2FOP2It17SOQDcgDk14M/s1TgjRqKgmE+ZDJzDvTceUkgFFlqeQRk0Vx5vsJ9s3HRUzikZHaNtRtOz8ODoXTzu3uu6oFSrmUhWtn/0HODtq3+CPw8hVVaXKVG6Xtjhp9dcUqI8ZM4bCwkJWrFhhU15aWkpYWBh9+/bl22+/tTn2ww8/MGzYMJYtW8bIkSMBSygwdepU5s+fz+7du2nbti1gGTHg4+PD0qVLL3l/VVUxGAw899xzTJ06FYCioiICAwNZunQpo0aNIjU1ldatW7Nt2za6du0KwOrVqxk8eDAnTpzAYDCwaNEiXnjhBXJzc3F2tmxXOnPmTFasWEFaWtol720ymfD19eWdd97h0UcftZZnZWURFxfH//73P4YMGcLkyZOZPHlyrT/Ha5lKICMGRIOh72L5dS76sILyRCMgIwcam4KcnRze/h4F2dsASyBgiB1OeMexEgiIWqlmFfO+gxjXb0E9lmMp1ChoOrZC1z8OjaGpfRsohGh0FK0WbXQY2ugwdPcNRD2eiyklA2VvBuF5TgQVtORwwE4KPHI4tudTcvatJKL9BEK6jUJR7N+ZvhrmMhXTSTOmkyrGU2ZMp6pfn1IxF6noWmjwn+Vq72Y2GFWmcuZ/29su955y/+846278f8s1a9Zw5swZa2f9YkOHDiU6OpovvvjCGgwA9O7dm/T0dGbOnMmPP/54VffJzMwkNzeXgQMHWsu8vb2Ji4sjMTGRUaNGkZiYiI+PjzUUABg4cCAajYakpCTuvfdeEhMTuf32262hAEB8fDxz586loKAAX1/fGvc+d+4cVVVV+Pn5WcvMZjOPPPII06ZNo02bNlf1Hq6VXYOBX375hTfeeIPk5GRycnJYvnx5rXNJvvvuOxYtWsSuXbuoqKigTZs2vPLKK8THx1vrvPLKK8yePdvmvJiYmMsmMqJh0XfRgQpFH1WHAwp4PSLhQEMngYC4XqrJhHlHKsYNSah5ZyyFOh3auHZo7+iGxt/Hru0TQgiwPPVUmgejaR4Mg2/HfPIMupSDtN0bw5kTyWQ23UmZy1nSds7jxLb/EGkYjV+XQSihQXad9qSqKmopGKs7/6ZTZst/1UGAWnKF80tlYLOwlZ6eDkCrVpfevjM2NtZa52Jz5syhffv2/Prrr/Tp0+eK98nNzQUgMNB2++rAwEDrsdzcXAICAmyO63Q6/Pz8bOqEh4fXuMb5Y5cKBmbMmIHBYLAJJebOnYtOp+OZZ565Ytuvl12DgdLSUjp06MC4ceO47777rlj/l19+4c477+Qf//gHPj4+fPzxxwwdOpSkpCQ6depkrdemTRvWrVtnfa3TycCIxkTftXrkwEcVlCdUjxyQcKBBKszZyeHk98nPsizQomh0GGKG06LTWFwlEBC1UCsqMSXtwbhpGxSetRTqXdDe1gldny4onu72baAQQtRCE+CPpr8/uv5xBBePoMmeVE7s+4qjpl8p0Z1i18mFNP1yBS0qeuPWqgOadtFoIpqhaLV13hZVVTEXq5aOf/XTfuOpC0GAWnaF9+IJ2gAN2qYatAEK2qYadNX/V+Mu393qkpNWz5T7f7fbvetSbbPhL346f17r1q159NFHmTlzJr//bvsz+Oyzz/jLX/5ifb1q1Sq0N+GzcjX++c9/smzZMjZt2mQd+p+cnMzbb7/Njh07bmrQZ9ce8913383dd9991fX/uPLiP/7xD1auXMkPP/xgEwzodDqCgmRhscZM37V65MASCQcaIgkExPVSS8sw/bYD4287oLT626qnO7q+XdH27Iji6mLfBgohxDVSvDxwvq0bLW/rhiE/m0Mb55FzehOnvI5xxpxFaGoKIQkxaPTuaNpEoG0bhSamBYpLzc7T5ahmFXOhpfNvrO78m6qH/htPmqGy9vM1PkqNTv/51xq9fDe7VRRFqZPh/PYUFRUFQGpqKr169apxPDU1lY4dO17y3NmzZxMdHV1j3YJhw4YRFxdnfR0SEkJOjmVaYV5eHsHBF75b5uXlWa8fFBTEyZMnba5lNBrJz8+39kWDgoLIy8uzqXP+9R/7q2+++Sb//Oc/WbduHe3bt7eW//rrr5w8eZLmzZtby0wmE8899xwLFizgyJEjl3y/18qhH6WbzWbOnj1rM/8CICMjA4PBgF6vp2fPnsyZM8fmB/lHFRUVVFRUWF8XFxfftDaLW0ff7Q8jBxTw+rOEA46sZiCgrQ4ExkkgIGqlFp7FuHkbpsTdUFkFWPYK1/brjrZbW9luUAjRIOj9DLS5fx6hp1I58NvrFJ3cw9Gme8n1zSQ8rwP+28swb98HOh2amBZo2kWhbR2B4uGGalIx5V946m86acZ4UQCAsZYbK6DxUy7q9GvQNlXQBWjQNlFQnOW7l6gb8fHx+Pn5MW/evBrBwPfff09GRsZlt/ELDQ1l0qRJPP/880RERFjLPT098fS0XbgzPDycoKAg1q9fbw0CiouLSUpK4qmnngKgZ8+eFBYWkpycTJcuXQDYsGEDZrPZGjT07NmTF154gaqqKpycnABYu3YtMTExNtMIXn/9dV577TX+97//2axZAPDII4/YTCs4/3N45JFHGDt27NX82K6KQ38TevPNNykpKeHBBx+0lsXFxbF06VJiYmLIyclh9uzZ9OnTh5SUlBr/g583Z86cGusSiIbBJhz4vXrkgIQDDqcwdxeHt79PflYSIIGAuHrmk/mYNiZh2r4PTGYAFEOAZYeB9jEoWsdYoEsIIa6FV9NWdB2xhLxD/yNjy9tUlJ4kLeR3fHSxhJ/og/MZX8y73DDvKMGsHsGs9cdc5Q5qLd+PNKBtoth2+ptWBwH+CoqTfLcSdauoqIhdu3bZlPn7+/Pee+8xatQoJkyYwKRJk/Dy8mL9+vVMmzaNJ554gsGDB1/2mrNmzeKDDz4gMzPTZoHCP1IUhcmTJ/Pqq68SFRVl3a7QYDBY18Rr1aoVd911F0888QSLFy+mqqqKSZMmMWrUKOt2gg899BCzZ89m/PjxzJgxg5SUFN5++23eeust673mzp3LSy+9xOeff06LFi2s6xN4eHjg4eGBv78//v7+Nu1zcnIiKCiImJiYa/mR1sphg4HPP/+c2bNns3LlSptFHy6emtC+fXvi4uIICwvjq6++Yvz48Ze81qxZs5gyZYr1dXFxMaGhoTev8eKW0nfToapQvMQSDigKeD4s4YAjuHwgMBZXz7rfv1U0HObjuRg3JGHecwCqpyEqLZuhG9ADTWy4XRfjEkKIm0mtVK1P+j1PDqC9uQ8luTmYTys4VQZgRFPz4b/p/P9jRONcitYfdGFuaMPd0AVo0QUoaHwVFK382ylunU2bNtlMFwcYP348H374IRs3buS1116jT58+1tHec+fOZfr06bVe08/PjxkzZvD8889f8f7Tp0+ntLSUCRMmUFhYyG233cbq1atttv377LPPmDRpEgMGDECj0XD//fezcOFC63Fvb2/WrFnDxIkT6dKlC02aNOGll15iwoQJ1jqLFi2isrKSBx54wOb+L7/8Mq+88soV21lXFLW2lRtuIUVRrrgrwXnLli1j3LhxfP311wwZMuSK9bt168bAgQOZM2fOVbXFUfcqFbUr22qkeEkFqOB6m07CgXqsMHc3h5PfI//ERYFA9DBadB4ngYC4LFVVMR88hml9Eub0I9ZyTZsIdP17oAkPsV/jhBCiDpnLLgzxtw75P7/NX2HtX+1NmnNUumRR5XoS9/BAvELD0J7NhqwDcPwgChfOV/x9LNMN2kWhhBlQNI1zlJWj9g2uZQ97R1ZeXs7w4cM5fvw4mzdvpmlT2WL4vGv5HXC4EQNffPEF48aNY9myZVcVCpSUlHDo0CEeeeSRW9A6UZ+5drf8uhcvqaDsN0tWLuFA/SKBgLgeqlnFnJJh2XLwmGWxIDQKmk6t0PWLQ2OQLwhCCMdyfps/0ynbTr8lBDCjnq39fMW1eqX/AAXdRQv9aZsqFJ7dx9HENynNPwQqeJREEt17Kn4h96KWnMO0/xDmvemYDxxBPVOIadM2TJu2gYcb2raRaNpGoYkOQ5Fdv0Q9odfrWblyJQsWLOCXX37h/vvvt3eTHJJdP9ElJSUcPHjQ+jozM5Ndu3bh5+dH8+bNmTVrFllZWfznP/8BLNMHHnvsMd5++23i4uKs8y9cXV3x9vYGYOrUqQwdOpSwsDCys7N5+eWX0Wq1jB49+ta/QVHvuHa37FZQ/HF1OKCA50MSDthbYe6e6kBgC2AJBIKjhxLeaRyuXvKUV1yaajRh2rEf04Yk1JP5lkKdDm1cO7R3dEPj72PX9gkhRG2s2/ydX+Dv5B+2+TtX+/mKJ9Wd/uq5/gEadNVz/hV3Ljtlyt+7O3H3f05W6ncc3raYkvyD7PjxSQLCBxDVczKu3dtB93aoFZWY0zIxpWRg3n8ISs5h2rIH05Y94OKEplVLtO2i0cS2lB1dhN3p9Xpmzpxp72Y4NLtOJdi0aRP9+vWrUf7YY4+xdOlSxowZw5EjR9i0aRMAd9xxB5s3b75sfYBRo0bxyy+/cObMGZo2bcptt93Ga6+9ZrPy5JU46nAhcfXKthgpXlo9reB2HZ6jJRywBwkExPVQKyoxJe3BuGkbFFY/NtO7oL2tE7o+XVA83e3bQCGEqKaaVcxFao1Ov7XzX1H7+RofxbbTf9GCfxrXG//eUlVexKHt75G1/xtU1YRG60xYh0do0XEsWqcL29qpJhPmQ8cx783AtDcDiksuXESrQRMVhqZtFNq2kSheHjfcrvrGUfsGjWUqgbi8a/kdqDdrDNQnjvrhF9dGwgH7KczdQ2by+5w5kQiAomgJjrmHFp3G4ebVzM6tE/WVWlqG6bcdGH/bAaVllkJPd3R9u6Lt1RFFL0+shBC3nmpSMReoGK2dfsuwf+NJM6bTKlTVcvL5bf6snf4Lw/51TRQUl1vzvaQk/yAHfn+TguxtALi4BxAV9wyBkXfVGHmgmlXU47mWkQR70y+M2Kp+P0qYAW3bKDTtotA0td1S3FE5at9AggEhwcANctQPv7h2NuFAXx2eoyQcuJkkEBDXQy08i3HzNkyJu6HS8g1b8fdB26872m5tUZxknqsQ4uZSjSqmM6ptp//83P/TKphrOfn8Nn9N/7DNX0D92uZPVVVOHdlIeuJblJ/NBsA7qAMxvabh1bTVZc8z553BnGIZSWBd56WaEtTEMpKgXRRKs0CH3RHGUfsGEgwICQZukKN++MX1KdtSRfHSygvhwGhnh/3DVV8V5e3l8Pb3bAOB6Hto0VkCAXF55pNnMG3cimn7PjBZvnUrhgB0A+LQtI9B0TbO1bGFEDeHWqliOv2HTv8pM8aTKuZ8FWr7xqzDOsTfZsh/gAatn2Nt82cyVnBsz6dk7lyC2VgOKBhihxPZfSLOrrWPAFALz2LadxDz3gzMB4+B+aLExMfzwkiClqEO9W+4o/YNJBgQEgzcIEf98IvrV5ZYRfEnEg7UtaK8vRxOfp8zxxMACQTE1TEfz8W4fgvmvenWL+JKy2boBvRAExsun00hxHUzl9vO8TdeNOf/Stv84cyFp/1NbVf81/goDW7EYXnpSQ5uWUjuwVUAaJ3dadllAqFtRqLROl3xfLWsHPP+Q5hSDmJOPWwd8QWAmx5N6wjL4oUxLVCcr3w9e3LUvoEEA0KCgRvkqB9+cWMkHKg7EgiIa6WqKuaDxzCt34I5/ai1XNMmAl3/HmjCZTFKIcTVMZfW7PSbTllGAZiLa//aq+gvs81fgILGS2mU3wsKc3dz4Pc3OHs6FQA3nzCiez5Hk+a9r/oaamUV5oyjlsUL9x28sE4MgJMOTUw42nZRaFpHoLi7Xv5CduKofQMJBoQEAzfIUT/84sbZhAN3VK850Ai/BFwvSyDwAWeO/w5YAoGg6CGEdxqHm3eonVsn6iPVrGJOycC4IenC3FSNgqZTK3T949AEN7VvA4UQ9Y6qqqhnqV7l/8Kwf2P1/73iNn8e/KHTf2Huf23b/DVmqmom+8APHNr6DpVllsUGmzS/jaieU3D3Cbu2a5nNqJlZ1YsXZqDmF104qFHQtAxF0y4KbdsoFN/68T3cUfsGEgwICQZukKN++EXdKEuoovg/Eg5ci6KTKRze/r4EAuKqqUYTph37MW1IurCitU6HNq4d2n7d0fh527eBQgi7sm7z94dOv+lU9TZ/5bWfr/H+wzZ/FwUBGjf5m369jBVnObzjQ46nfIFqNqFodDRvO5rwLo+jc772bQpVVUXNPnVh8cLskzbHlebBOD/9EIpWW1dv4bo4at9AggFxLb8DspSzEH/g2ssJVCj+byVlm4wAEg5cRtHJFMuUgWMXBQJRgwnvPF4CAXFJakUlpi17MG7eBoVnLYV6F7S3dUbXpzOKp7t9GyiEuGVUs2VRP+NFC/1Z5/6fuopt/nwV24X+zj/9b6Kg0cvf7JtB5+JJdM+/EdLqXtIT53Pm2O8c3fNfcjJ+JrL7JIJj7kFRrn5RQUVRUEIC0IQEoIvvjflM4YWQIDMLdFq7hwLCPsaMGUNhYSErVqy45PGEhAReffVVEhMTKSsrIyoqirFjx/Lss8+iveh3RlEUXFxcOHDgAGFhF0a3jBgxAh8fH5YuXXrZNqiqyssvv8wHH3xAYWEhvXv3ZtGiRURFRVnr5Ofn8/TTT/PDDz+g0Wi4//77efvtt/HwuBCU7dmzh4kTJ7Jt2zaaNm3K008/zfTp063Hv/vuO/7xj39w8OBBqqqqiIqK4rnnnuORRx6x1ikpKWHmzJmsWLGCM2fOEB4ezjPPPMOTTz55LT/WWkkwIMQluPa2LIJjDQcU8Bwp4cB5EgiIa6WWlmH6bQfGX5PhXPWjPk93dH27ou3VEUXvYt8GCiFuCtVkWen/fKffePGc/9MqmGo5WQNaf9un/dYgoEn92eavMXL3aUGnuxdy+thvpCfM51zRUfZvns2J/V8T3WsaPkHtr+u6Gn8fNH27oevbDfVsKerFaxEIUW358uU8+OCDjB07lo0bN+Lj48O6deuYPn06iYmJfPXVVzbf2RVF4aWXXuKTTz65pvu8/vrrLFy4kE8++YTw8HBefPFF4uPj2b9/v/Xp+8MPP0xOTg5r166lqqqKsWPHMmHCBD7//HPAMtpk0KBBDBw4kMWLF7N3717GjRuHj48PEyZMAMDPz48XXniB2NhYnJ2d+fHHHxk7diwBAQHEx8cDMGXKFDZs2MCnn35KixYtWLNmDX/9618xGAwMGzasLn6sMpXgUhx1uJCoe2W/V1H83+ppBf11eD7YuMOBopP7yEx+n9PHfrMUKBqCowYT3vlxCQTEJamFZzFu3oYpcbd1RWrF3wdt/+5ou7ZFcZJ8WghHp1ZZhvzbdPrPD/vPV8Fcy8k60Dap7vSfn/N/vvPv71jb/DVWZlMVx1OWcXjHB5gqSwEIihpMZNzT6N0D7Ny6uuGofYM/DiNXVZUK0xXm4dwkLlr9NX2HvtyIgdLSUsLCwujbty/ffvutzbEffviBYcOGsWzZMkaOHAlYQoGpU6cyf/58du/eTdu2bYErjxhQVRWDwcBzzz3H1KlTASgqKiIwMJClS5cyatQoUlNTad26Ndu2baNr164ArF69msGDB3PixAkMBgOLFi3ihRdeIDc3F2dnZwDrk/+0tLTLvv/OnTszZMgQ/t//+38AtG3blpEjR/Liiy9a63Tp0oW7776bV1999bLXkakEQtQR68iB/1RStsGIAng0wnDg8oHAeNy8m9u3caJeMp88g2nDVkzJ+8Bk6RUoIQGWBQU7xKBoHGf/aiHERdv8XTTX33jxNn+1PWZy4kKn/6Jh/7oABY1vw9vmr7HRaJ0I6/AIQVGDObTtXbLTvic342dOZW6kRadxNG//MFqdjAqrDypM5Yz++ep3k6hLXwz+Hb3uxnecWLNmDWfOnLF21i82dOhQoqOj+eKLL6zBAEDv3r1JT09n5syZ/Pjjj1d1n8zMTHJzcxk4cKC1zNvbm7i4OBITExk1ahSJiYn4+PhYQwGAgQMHotFoSEpK4t577yUxMZHbb7/dGgoAxMfHM3fuXAoKCvD19bW5r6qqbNiwgQMHDjB37lxrea9evfj+++8ZN24cBoOBTZs2kZ6ezltvvXVV7+dqSDAgxBW49r6w5sC5DZY1BxpLOFB8aj+Ht7/P6WO/WgoUDcFRd1ePEJBAQNRkPp6DcX0S5r3p1o6CEhFqCQRiwxvF50YIR2U+d1Gn/6KF/kwnr2Gbv6Z/ePofoKDxbpzb/DU2Lm7+tO77Es1a/4kDv79BUd5uS1BwYAVRPf5G0xZ3yO+BuGHp6ekAtGrV6pLHY2NjrXUuNmfOHNq3b8+vv/5Knz59rnif3NxcAAIDA23KAwMDrcdyc3MJCLAdFaPT6fDz87OpEx4eXuMa54+dDwaKiooICQmhoqICrVbLv//9b+68807rOf/617+YMGECzZo1Q6fTodFo+OCDD7j99tuv+F6ulgQDQlwF19ucUIGz58MBBTz+1HDDAQkExLVQVRVzxjFMG7ZgTj9qLde0iUQ3IA5NixA7tk4IcZ6qqqglVHf6Lxr2Xx0EqKW1n6+4g85mob/zIYAGxUO2+RMWXk1b0XX4R+QdXE1G0kLKirPYs2YqfiHdie41FQ+/CHs3sdFy0er5YvDvdrt3XaptNvzFT+fPa926NY8++igzZ87k999tfwafffYZf/nLX6yvV61aZbOA4a3g6enJrl27KCkpYf369UyZMoWWLVtyxx13AJZgYMuWLXz//feEhYXxyy+/MHHiRAwGg82ohhshwYAQV8ntNsvIgbOfVnJuffXIgQYWDkggIK6FalYxp2RgXL8F9bglGUejoOncGl2/7miCm9q3gUI0Qqpavc3f+dX9T9pOAbjiNn9eirXDr22q2AQBGveG8/dO3FyKohAUdTdNWvTlyM6lHNvzX/KztpL0zWhCWj9ARNe/4KSXbWlvNUVR6mQ4vz2d3xEgNTWVXr161TiemppKx44dL3nu7NmziY6OrrFuwbBhw4iLi7O+DgkJIScnB4C8vDyCg4Otx/Ly8qzXDwoK4uRJ2y02jUYj+fn5BAUFWevk5eXZ1Dn/+nwdAI1GQ2RkJAAdO3YkNTWVOXPmcMcdd1BWVsbzzz/P8uXLGTJkCADt27dn165dvPnmmxIMCGEPbn2qw4HPqsMBBTwecPxwoPhUKoeT3+f00V8sBYqGoMi7Ce88HnefsNpPFo2OajRh2rEf04Yk1JP5lkKdDm2P9mjv6IbGT77sCXEzqWYVc4Fao9Nv3eavsvbzNb6Wzr/u4oX+znf+ZZs/UYd0Tm5Edv8rIbHDSd+ygFOZGzix70vyDq0moutTGFrdi0Yj3RFx9eLj4/Hz82PevHk1goHvv/+ejIwMFixYcMlzQ0NDmTRpEs8//zwRERdGrnh6euLp6WlTNzw8nKCgINavX28NAoqLi0lKSuKpp54CoGfPnhQWFpKcnEyXLl0A2LBhA2az2Ro09OzZkxdeeIGqqiqcnCxrl61du5aYmJga6wtczGw2U1FRAUBVVRVVVVVo/rA+k1arxWyubXXXayOfRCGukdvtlg/12c8qObeuOhy43zHDAQkExLVQKyoxbdmDcfM2KDxrKdS7oL2tM7o+nVE83e3bQCEaENWkYjpzYc6/zdP/0yoYazlZqd7m7w/D/nVNq7f5c3a8v1fCsbl6hdBh0BvkZ23lQMKblOYfIu23f3Ji/7dE956Kn6HrlS8iGp2ioiJ27dplU+bv7897773HqFGjmDBhApMmTcLLy4v169czbdo0nnjiCQYPHnzZa86aNYsPPviAzMxMmwUK/0hRFCZPnsyrr75KVFSUdbtCg8HAiBEjAMs6B3fddRdPPPEEixcvpqqqikmTJjFq1CgMBgMADz30ELNnz2b8+PHMmDGDlJQU3n77bZtFA+fMmUPXrl2JiIigoqKCn3/+mf/+978sWrQIAC8vL/r27cu0adNwdXUlLCyMzZs385///If58+df50+3JgkGhLgONuHA2uppBQ4UDlgCgQ84fXSzpUDREBR5V3Ug0MKubRP1j1pahum3HRh/TYZz1eOQPd3R9e2KtldHFL2sNi3E9VCrVEynLZ1/40UL/ZlOmTGducI2f9rqbf6qO/+6i+b8a/0VFJ1j/D0SjYtfSHfi7v+crP3fcWj7IkryM9jxw18IaDmAqB5/w9Uz+MoXEY3Gpk2b6NSpk03Z+PHj+fDDD9m4cSOvvfYaffr0obi4GIC5c+cyffr0Wq/p5+fHjBkzeP755694/+nTp1NaWsqECRMoLCzktttuY/Xq1Tbb/n322WdMmjSJAQMGoNFouP/++1m4cKH1uLe3N2vWrGHixIl06dKFJk2a8NJLLzFhwgRrndLSUv76179y4sQJXF1diY2N5dNPP7UJLpYtW8asWbN4+OGHyc/PJywsjNdee40nn3zyiu/jailqbSs3NFKOulepuPXOba7i7OeWMZtudzrhcb9TvQ4HJBAQ10ItPItx8zZMibuhsgoApYkP2n5xaLu2QXGSbFmIK1ErVEun//yCf6cuBAHmgqvY5u8PC/1pAzTomipo/GSbP+HYKssLObz9PU7s/wZUMxqtC2EdHqFFxzFonerXPHhH7Rtcyx72jqy8vJzhw4dz/PhxNm/eTNOmssbRedfyOyDBwCU46odf2IdNODDICY/76l84UHw6jczk9zl15KJAICLeEgj4htd+smh0zCfPYNqwFVPyPjBZHlkqIQHoBvRA0z4a5Q9z3IRo7MxlFw35P//0v/q1uegK2/y5XLTNX3Wn//xrjbd0/kXDV3ImgwMJb1KQvR0AF/dAono8S2DEoHrzfcpR+waNJRgAy3tdsGABUVFR3H///fZuTr0hwcANctQPv7Cf+hoO1AgEUC6MEJBAQPyB+VgOxvVJmFPSrU8xlYhQSyAQ06Je/E4LYQ+qqqKWnt/m76Kn/ydVjKfMqCW1n6+4Y9nW7+KF/gI06JpqUDxlmz8hVFXlVOZG0re8RfnZbAB8gjoS3XsaXk1i7dw6x+0bNKZgQFzatfwOyDhQIeqAW9/q3Qq+qOTcmirLgoT32i8cOHv6AIeT3+fUkU3VJQpBkfGEd35cAgFhQ1VVzBlHMa1Pwpxx1FquaROJbkAcmhYhdmydELeOqqqYiy9s83e+03/+tVpW+/kaL8VmoT9tUw26ANnmT4iroSgKAS3749+8F0f3fMqRnR9TmLuL5O+foM/DP6Nz8bzyRYQQN0SCASHqiNsd1eHAskrO/c8yH/tWhwMSCIirpZpVzHvTMW5IQj2eaynUKGg6t0bXPw5NUBP7NlCIm8RcqmI8YbY8/b94u79TZtSK2s/V+F7o/OsCbEMA2eZPiBun1elp2flxDNFDOZi0EDefFhIKCHGLSDAgRB1y61e9W8H5cEABjxE3PxyQQEBcLdVowpS8D9PGragn8y2FOh3aHu3R3dENxc/bvg0U4iYxl6qUrq7i3MYqqLpMpfPb/DW9sNCftqmCLkC2+RPiVtJ7BNJ2wGvIjGchbh0JBoSoYzbhwOrqkQM3KRywBAIfcOrIxuoShcDIQbTs/IQEAsKGWlGJactujJu2QVH1hGhXF7S9O6Pr0xnF092+DRTiJlErVc5tqKL0f1Wo5yxl2iYK2qCLOv3n5/7LNn9C1Cuy/oYQt44EA0LcBH8MBxQF3IfXXThw9kw6h7e/L4GAuCK1tAzjr8mYftsB58othV7u6Pp2Q9uzA4rexb4NFOImUU0qZb8ZKf2pyrozgC5EweNeZ5zbaqXDIYQQQlxEggEhbhK3ftVrDnxZSekqy8iBGw0Hzp5Jt4wQyNxQXaIQGDGI8C6P4+Hbsg5aLRoKtfAsxk1bMW3ZA5WW3z+liQ/afnFou7VB0ck//6JhUs0qFckmSr6vxHTSEgho/BU8hjmj766V7f+EEEKIS5BvhkLcRG79q0cO3GA4cPZMhmUNAQkExBWY885g2rgVU/I+MJkBUEICLFsOto9G0Wjs3EIhbg5VValMNVGyvArjserffU/wGOyMax8dipMEAkIIIcTlSDAgxE3m1r965MBX1eGAAu7Dri4cOHsmg8zkDziZub66RCEw4k7COz+Oh1/EzW24cCjmYzkY1ydhTkmH6rWaNBGhaAf0QBPTQoZNiwatKtPE2eWVVB2oDgT04DbICbcBTrJbgBBCCHEV5NGRELeA2wAnPP7kDEDpz1WU/lBV60q7Z89ksGfNdJK+GVUdClhGCPT405e0GzhHQgEBWJ6QmtKPULnoSyoX/BfzXksooGkbifMzf8Z54mi0seESCogGy5hjpnBROfn/LLeEAjpwG6CjyWtueAxxllBACCEc1JgxYxgxYsRljyckJDB48GB8fX3R6/W0a9eO+fPnYzKZatT98ccf6du3L56enri5udGtWzeWLl16Ve0oLy9n4sSJ+Pv74+Hhwf33309eXp5NnWPHjjFkyBDc3NwICAhg2rRpGI1GmzqbNm2ic+fOuLi4EBkZecn7v/vuu7Ro0QK9Xk9cXBxbt261Of7+++9zxx134OXlhaIoFBYWXtV7uFoyYkCIW8R9oGVaQcnXlZT+VD2tYKjtyIGSMxkc3vEBJw9fNEKg5UDLlAG/yFvdZFFPqWYz5r0ZGDckoR7PtRRqFDSdW6PrH4cmqIl9GyjETWbKN1PyYxXlCUbLCBkF9D10eAxzQusnzzyEEKIhW758OQ8++CBjx45l48aN+Pj4sG7dOqZPn05iYiJfffWV9fv1v/71LyZPnsyMGTNYtGgRzs7OrFy5kieffJKUlBTefPPNWu/1t7/9jZ9++omvv/4ab29vJk2axH333cfvv/8OgMlkYsiQIQQFBZGQkEBOTg6PPvooTk5O/OMf/wAgMzOTIUOG8OSTT/LZZ5+xfv16Hn/8cYKDg4mPjwfgyy+/ZMqUKSxevJi4uDgWLFhAfHw8Bw4cICAgAIBz585x1113cddddzFr1qw6/7kqqmwQWkNxcTHe3t4UFRXh5eVl7+aIBqZ0XRUlX1cC4D7ECY9hzhIIiKuiGk2Ykvdh2rgV9WS+pdBJhzauPbo7uqH4edu3gULcZOYSldLVlZzbaITqhzEuHbV4DHdGZ5BAQAhxczhq36C8vJzMzEzCw8PR6/Woqkq5qdIubdFrna9pBOOYMWMoLCxkxYoVNuWlpaWEhYXRt29fvv32W5tjP/zwA8OGDWPZsmWMHDmS48ePExERwdNPP828efNs6v7rX//imWeeYcuWLcTFxV2yDUVFRTRt2pTPP/+cBx54AIC0tDRatWpFYmIiPXr0YNWqVdxzzz1kZ2cTGBgIwOLFi5kxYwanTp3C2dmZGTNm8NNPP5GSkmK99qhRoygsLGT16tUAxMXF0a1bN9555x0AzGYzoaGhPP3008ycOdOmXZs2baJfv34UFBTg4+NT68/xj78DtZERA0LcYu4DLWsOlHxjGTmQd3gdma4vWo8HtrxTAgFhQ62oxLRlN8ZN26CoxFLo6oL2ts7o+nRB8XCzbwOFuMnM5Srn1ldxbk0VavWum05RGsvWgxFa+zZOCCEcRLmpkj4/P2+Xe/86+B+46m58i+Q1a9Zw5swZpk6dWuPY0KFDiY6O5osvvmDkyJF88803VFVVXbLuX/7yF55//nm++OKLywYDycnJVFVVMXDgQGtZbGwszZs3twYDiYmJtGvXzhoKAMTHx/PUU0+xb98+OnXqRGJios01zteZPHkyAJWVlSQnJ9uMAtBoNAwcOJDExMRr+vncCAkGhLADtctRzqbvxXPPIDxS+xIQPAZ6n6BllyckEBBWamkZxl+TMf22A85V94a83NH17Ya2ZwcU/Y3/gRWiPlONKmW/Gin9uQpzsWWAoy5Ug8cIJ5zbaGX9DCGEaGTS09MBaNWq1SWPx8bGWuukp6fj7e1NcHBwjXrOzs60bNnSWvdScnNzcXZ2rvFUPjAwkNzcXGudi0OB88fPH6utTnFxMWVlZRQUFGAymS5ZJy0t7bLtq2sSDAhxC5XkH+Rw8gecPLwOdNAkJIPgrIkE5ozDvcIJDz9nezdR1ANqQTHGzdswbdkDlZb1KJQmPmj7x6Ht2gZFJ/90i4ZNNauUbzdRurIS02lLIKBtouA+3Bl9Vy2KRgIBIYS4VnqtM78O/ofd7l2XapsN7+x89fc6X/cf//iHdU0AgP37919/4xzUDX+7LC8vv+J8BSEau5L8Q/+fvfeOj6pM+//fp8ykzGTSSCOhhKKCDUWB4CJKMXZUXGGLAiIsPsIqqKj7qPt1F3XVdcW14a6uj/5WVCyAGBuEphIbikovgrQkhPSZZMopvz/OZJIhCZAQSCbc79crr2Tuc59z7pnMnDn3576u68POtf+m+Odl1HnJpfYaSa/rr0Vaa8f9rh/PEmsC6LxSiAMnK0ZxKfryr9DXbgQjaLuWmYo6cgjyWacgySKHWtC5MU0T/3od96IA2l7rMyC7JBxX2Ij5lYqkCkFAIBAIWoskSW0Szt+e9O3bF4BNmzYxdOjQRts3bdrEgAEDQn0rKyvZv38/Xbt2Devn9/vZsWNHqPjftGnTuOGGG0Lbu3btSnp6On6/n4qKirCogeLiYtLT0wFIT09v5B5Q51rQsM+hTgbFxcW4XC5iYmJQFAVFUZrsU3eME0Gr7jINw+Cvf/0rmZmZOJ1Ofv75ZwAeeOABXn755TYdoEAQybjLdvDT0nv58u1xFP+8FDBJ7TWSIde/yVmjH8eZ3BfHJTac11mOBZ4lAdx57VMURtB+GLsL8b+yEP/jL6N/sx4MA7l3N2x/+DX2WRNQBpwmRAFBp8e/Q6f8SS8Vz/rQ9hpI0eAcY6PLnBhiL7IJUUAgEAgE5ObmkpSU1KiYIMD777/Ptm3bmDhxIgDXX389qqo22XfevHnU1NRw0003AZCUlESfPn1CP6qqMnDgQGw2G/n5+aH9tmzZwu7du8nJyQEgJyeHn376iQMHDoT6LF26FJfLRf/+/UN9Gh6jrk/dMex2OwMHDgzrYxgG+fn5oT4nglZFDMyZM4dXX32Vxx9/nClTpoTazzjjDObOncvkyZPbbIACQSTiLtvBzu9eoniHJQYApGaPJHvgFOKS+zbq78i1ogTc7wXwvB+MHLhCRA50ZkzTxNj2C3r+lxjbdofa5TP6oI4Ygtyz62H2Fgg6D9p+A/ciP74fgt7TKsRebMNxqQ3ZKcQAgUAgOFmprKxk3bp1YW3Jycm8+OKLjB8/nqlTpzJ9+nRcLhf5+fncfffdTJkyhcsvvxyA7t278/jjj3PXXXcRHR3NjTfeiM1mY/HixfzpT39izpw5nHHGGc2ePz4+nsmTJzNr1iySkpJwuVzMmDGDnJwchgwZAsAll1xC//79ufHGG3n88ccpKiri/vvv57bbbiMqyorOmDZtGs8++yyzZ8/m5ptvZvny5SxYsIC8vLzQuWbNmsWECRM477zzGDRoEHPnzsXj8TBp0qRQn6KiIoqKiti+fTsAP/30E3FxcXTv3p2kpKRjfr1bJQy89tpr/Otf/2LkyJFMmzYt1H722Wef0AIJAkFHw13+s5UycJSCQEMcuXbLrWBhUByQwHm5EAc6G6ZhYPy0DS3/S8y9wZAxWUY+tx/qiMHI6V3ad4ACwQlCLzVwLwng/VKzLpcSRA9VcV5lQ0kUETICgUBwsrNy5UrOOeecsLbJkyfz0ksvsWLFCh5++GGGDRtGVVUVAI899hizZ88O6z9z5kx69erFk08+ydNPP43H4wHgjTfeYPz48Uccw1NPPYUsy4wdOxafz0dubi7PP/98aLuiKHzwwQfceuut5OTk4HA4mDBhAn/5y19CfbKzs8nLy2PmzJk8/fTTZGVl8dJLL4XSGADGjRtHSUkJDz74IEVFRQwYMICPP/44rCDhvHnzeOihh0KPL7zwQgBeeeWVUJTEsSCZh6vc0AwxMTFs3ryZHj16EBcXxw8//ECvXr3YuHEjgwYNwu12H9VxVq9ezRNPPMHatWspLCxk4cKFXHPNNYfdZ+XKlcyaNYsNGzbQrVs37r///kYvxHPPPccTTzxBUVERZ599Ns888wyDBg066ucXqV6lgvbDEgReonjHp9QJAinZI+g1cApxyae06Fiej/24FwajBsbYcAhxoFNgajr6txvQV3yFWVJuNdpUlMFnoV50PlJSfPsOUCA4QRjVJp6P/NSs0kCz2qLOVXCOsaOmC0FAIBB0PCJ1btASD/tIxuv1MmbMGPbs2cOqVatISUlptm9ZWRkjR47E5XLx0UcfERvbuS2fW/IeaFXEQP/+/fnss8/o0aNHWPs777zTSNU5HB6Ph7PPPpubb76Z66677oj9d+7cyRVXXMG0adN4/fXXyc/P55ZbbiEjIyOkuLz11lvMmjWLefPmMXjwYObOnUtubi5btmwhNTW1ZU9UIDgCbSkI1OG4NJhWsDCAe7ElEAhxIHIxfX70gh/QVn0DlUHRNCYK5Vfnog4biOTs3F9IAkEdhtekZmmAmqUBTJ/VZj9VxnmtHVu20r6DEwgEHQLTo2Hs8mLsqsXYVQtxClE3Zbb3sAQdnOjoaBYvXszcuXNZvXo1Y8eObbZvUlISy5Yt47nnnqOgoICRI0eewJF2bFolDDz44INMmDCBffv2YRgG7733Hlu2bOG1117jgw8+OOrjXHbZZVx22WVH3X/evHlkZ2eHCkj069ePzz//nKeeeiokDPzjH/9gypQpoXyMefPmkZeXx3/+8x/uvffeFjxLgaB5POU7+fm7f1O8ve0EgYY4Lg2mFSwKigMSOC4T4kAkYbpr0D7/Dv2z76DWazW6nKgXnYcy5Gyk6MiuCiwQHC1mwKT2Mw33h37MaqtN7W4JAvZ+MpIk6ggIBCcjplfH+MWL8UttSAgwSwJhfaR4Yc8rODqio6OPeq6XnJzMgw8+eJxHFHm06tM2ZswYlixZwl/+8hccDgcPPvgg5557LkuWLGH06NFtPcYQBQUFjBo1KqwtNzeXO+64A7BsJ9auXct9990X2i7LMqNGjaKgoKDZ4/p8Pnw+X+hxXZ6KQHAoTQoCPS+2BIEup7bpuRyXBcWBxQHci4LiwKVCHOjomOVVaCu/Qf/qR/BbNzhSSiLKxYNQzjsdSRU3OYKTA9Mw8X6t4X4/gFFqXS+VVAnnGDtR5ypIshAEBIKTBTNgYOypjwQwdnkxi3x1t1JhSCl25J7RyD1jkHvGYJqmEBAFghNAq+9Qhw0bxtKlS9tyLEekqKgorAADQFpaGlVVVdTW1lJeXo6u6032OVxRxEcffTSskINAcCgnUhBoiONyOybgWRwI1R04WcUB0zSh4Y/R8DHh25ro02j/un2MJvY7ZP/Dnzt4LMPA2LgDfe1GMCz/dSkzFXXkEOSzThF2g4KTBtM08f+o417kR9tvXS/leAnHlTZiLlCRFHGDLxB0ZkzNxNzvtaIBdtWi76rF3OcFvXFfKVFF7mEJAHJ2DHKPaCSHimmY4NVA04UoIBCcIMTSFXDfffcxa9as0OOqqiq6devWjiMSNId5uElgs5O2+n3Mw/Y59Djgqd7Nrh1vUVy0mjpBoEuXQfTs8WvinNlQYqIf2HGEcx9y/qM6d/0+0TYT4/QUajdk4F4YQN+6i5g+Rc0/T8Nosr2lz/3QtqOaHB/T5Lrhc2iiPYKQ+3RHGTkY+ZSe4oZGcFLh367jfs9PYEdQHIsFR66N2BE2JLv4LAgEnQ3TMDGL/fWRAL/UYuz2QqDue9uwfiQdYkFKVZGSZCSnhBQD6F6oqcbYFUDf6IeaAKbHD7UBMEHKdBF938Xt+AwFgpOHVgkDsnz4nEBdb0ISbAPS09MpLi4OaysuLsblchETE4OiKCiK0mSf9PT0Zo8bFRUV8pnsaOjfrMescodNpsyjnIg197jxyulhJmNNHPuIk/OjmRwfxTibPcYJoMZexZ7kDZTE7YbgWz2pOpPupafj3JIIX3xLgG9PzGAAO2DYBuILDKF2Qybm1l+Isn9/ws4fcUiAJB3+R274OLy/1GSf5vvX9ZMSXKjDBiL37NrOL4BAcGIJ7DVwL/Lj/yn4/W+D2JE2HJfYkB1CEBAIIhlTN6A2gOHxY+6vxfjFjbGvBrO4FrPMB5oGUgMBAAOidCTJCBf2daAQzMIW3M4Fjs+cQiAQNKZVwsDChQvDHgcCAb7//nteffXV4xqSn5OTw4cffhjWtnTpUnJycgCw2+0MHDiQ/Pz8kO2hYRjk5+czffr04zau44n2+XeYe4raexiRS5OTwSbagz81aiV74tZREv0zSNbXVrK/J91rz8NppEBCcxPLxhNHSZabOH/z5240yTxkAuqQdOSfd1O7ozvewFCk3lnE9C5qdtIqHXGMTb0mMsgNJsbNvVZHeu4tOvdhJuZHMzlv9DojVukFghOEftDA/b4f79e6dacvQ8yvVBxX2FASRPqMQNBRME0TfBpmTaB+Vb4mgFnjD7ZZv0N/ewLg9lv9DjM5l6D52UTd7F+WINaGFGuDWDtSrA0p1h5qkxx2iAn+rmur224TjiUCwYmi1cUHD+X666/n9NNP56233mLy5MlHdRy328327dtDj3fu3Mm6detISkqie/fu3Hfffezbt4/XXnsNgGnTpvHss88ye/Zsbr75ZpYvX86CBQvIy8sLHWPWrFlMmDCB8847j0GDBjF37lw8Hk/IpSDSUE7vg5mRcphJEoedtElNTaiammg1M2E+8gSNwx676fM3MebDTo6PYnLY3LmPEk/FLnaufYmiHZ+AaYXApvQcTva5U3Cl9DsO/9nWYQPkD/x4lgSo3dwd5fQ+OC6xtfewBALBSYZeZeL50E/tai2UNxw1UME5xo6aJgQBgeB4YQZ0qLUm9qFJfk3dJL8+DL9+e30/jGMLuzRNCVCQbKo1aXdFISVHI3WJRnI2nvDjsCPF2CBaFYK9QBABtGmNgSFDhjB16tSj7v/tt99y8cUXhx7X5flPmDCB//u//6OwsJDdu3eHtmdnZ5OXl8fMmTN5+umnycrK4qWXXgpZFQKMGzeOkpISHnzwQYqKihgwYAAff/xxo4KEkYJ6ydD2HkKnxlOxi53fvUzR9o9DgkCXHsPpNbBjCQINcV5pFR/0LAngftcPEjhGC3FAIBAcf4xak5qlAWqWBTCDZj72/grOa2zYeoiVPYHgaLAK6wWsVflDV+prAuCpa2sw4Q/+jf8YQ+tV2Vqdt6mYpgyaDF4wawEUMGXrN9ZvKSUaqbsDubcDpZcDOSsaySbEP4GgMyKZZttU9aqtreW+++7jo48+YsuWLW1xyHajqqqK+Ph4Kisrcblc7T0cwXHAU/ELO797KaIEgUNxL/Hj+cByKnBebxfigEAgOG6YAZOaVRqeD/2YHqtN7SkTd60d+2lCEBCcfJimaU3SmwrH94Sv1B+6va6wXquRsCb3sXZw2JDCwvAPCcePUjEqDcyDOkahhvmLD7PY3+T5pVQ7co96m0C5ezRStPh8Q+TODbxeLzt37iQ7O5vo6Oj2Ho6gHWjJe6BVEQOJiYlhIUGmaVJdXU1sbCz//e9/W3NIgeCEYAkCL1O0/aOIFQTqcF4VjBz4IID7HT8gIgcEAkHbYhom3i813EsCGGXWTEJJk3BeYyfqHEWEBwsiHlM36ifvnkAoDL/JCf0h/dCMYzu5XWl+Qn9IOH5Yv2gVSW782QvZBO6qxdjuRd9Vc3ibwDoBoGcMco8YJIcQAQQdh4kTJ1JRUcGiRYua3L5mzRrmzJlDQUEBtbW19O3bl0mTJnH77bejKOHv5Q8++IAnnniC7777Dl3XOf3007ntttuYOHHiEcfh9Xq58847efPNN/H5fOTm5vL888+HRaPv3r2bW2+9lRUrVuB0OpkwYQKPPvooqlo/1V65ciWzZs1iw4YNdOvWjfvvvz/s/I8++ijvvfcemzdvJiYmhqFDh/LYY49x6qmNbdFN0+Tyyy/n448/ZuHChaHaesdKq4SBuXPnhj2WZZmUlBQGDx5MYmJiW4xLEMQoD4BuInc5Ob3r24qmBYEL6TVwasQJAg1xXmUHEzx5QXFAAscoIQ4IBIJjwzRNfD/ouBf50QstQUBOkHBeZSM6R0VShCAg6DiYpgleLSy//tAQ/EPz70O5+b5jDM1XpAYF9eqL69VP6Bu0HdpPbX1IfiObwF21GHsa2gQ2wKmEBAClZwxyz2ikeHGvIIhcFi5cyA033MCkSZNYsWIFCQkJLFu2jNmzZ1NQUMCCBQtCwvUzzzzDHXfcwT333MMLL7yA3W5n8eLFTJs2jfXr1/P3v//9sOeaOXMmeXl5vP3228THxzN9+nSuu+46vvjiC8By47viiitIT09nzZo1FBYWctNNN2Gz2XjkkUcAq47eFVdcwbRp03j99dfJz8/nlltuISMjI5QSv2rVKm677TbOP/98NE3jT3/6E5dccgkbN27E4XCEjWnu3LnHRZhvs1SCzkRHChfyvbAb/Sc3tsu6oF7aReR1tZDOKgg0xDRNPEsCePKCaQW/tgtxQCAQtBr/Vh33e34CO61rphQLjsvsxF6kItmFICA4fph+3Vqdr20mHL+ZCT81TYfGt4iYugm7tSovOWwQE/xd13boxD/WZq36H+fIGdM0MQ8G6gWAX2oxfvGCt4mIhRgZuUddJICVFiAl2UR0zzHSkeYGLeHQMHLTNPHqWruMJVppWRHK5iIGPB4PPXr0YPjw4bz77rth25YsWcLVV1/Nm2++ybhx49izZw+9e/dmxowZPPnkk2F9n3nmGf74xz/y5ZdfMnjw4CbHUFlZSUpKCvPnz+f6668HYPPmzfTr14+CggKGDBnCRx99xJVXXsn+/ftDUQTz5s3jnnvuoaSkBLvdzj333ENeXh7r168PHXv8+PFUVFTw8ccfN3nukpISUlNTWbVqFRdeeGGofd26dVx55ZV8++23ZGRkHDFi4LinEgBUVFTw9ddfc+DAAQwj/MJ00003tfawggaYfgPTY0DAJPB+CVpBBbZxGahnx7X30Do8NZW72fndSxRuayAIdB9Gr/Om4krp386ja1skScJxlSUEePICuN8OphUIcUAgELSAwB4d98IA/g3BFVQ7OEbaiL3EhhwrJhWCo8M0zEMq5TcoqNfchL9uch84xtB8mxIejt9s/n34hJ8YW5Oh+e2FUdFABNjlxfilFtxNRDbYJeRu0WEpAVKqvUM9F0HHwqtrXLjkhXY59+qrbiVGPfZ7008//ZTS0lLuuuuuRtuuuuoqTjnlFN544w3GjRvHO++8QyAQaLLvH/7wB/70pz/xxhtvNCsMrF27lkAgwKhRo0Jtp512Gt27dw8JAwUFBZx55plhqQW5ubnceuutbNiwgXPOOYeCgoKwY9T1ueOOO5p9npWVlQAkJSWF2mpqavjtb3/Lc889R3p6erP7tpZWCQNLlizhd7/7HW63G5fLFab+SJIkhIE2QrLLRN3ZA/3bKgILijBLAvif3Y12phP7+AzkVJFecCgnkyDQkJA4YILnQ0sckCSIHSnEAYFAcHi0Awae9/14vwlOPGSIGabiuMKGEi+i1E5GGnne1/jBEwhO7P1NT/zr2mqPcTWyzvM+pn5V/rD59xHueW+6tdDkv04MMCuaeA0VCTkrKlQPQM6OQcqIEmk9gpOOrVu3AtCvX9ORv6eddlqoz9atW4mPjycjI6NRP7vdTq9evUJ9m6KoqAi73U5CQkJYe1paGkVFRaE+h7rf1T0+Up+qqipqa2uJiYkJ22YYBnfccQcXXHABZ5xxRqh95syZDB06lDFjxjQ75mOhVcLAnXfeyc0338wjjzxCbGxsW49J0ABJklDPj0c500nggxK0ZWUYP7nxbtqOemkXbJd2QYoSN241lXssl4FtH2Ga1s1tl+6/InvgVOJTT2/n0Z0YJEnCcXVQHPgoQPUCK3JAiAMCgaAp9EoDT16A2s80CC7URp+v4BhjR00R3yudgZDnfU1TE/rD598fq+c90Wp46H3DcPxGBfUa9OvEnvemV8f4xRuWEmCWBBp3lEDqGtUgJSAGOStKpJMKjploRWX1Vbe227nbksNlw9vtR794Wtf3kUceCdUEANi4cWPrB3eM3Hbbbaxfv57PP/881Pb++++zfPlyvv/+++N23lb9h/bt28cf//hHIQqcQKRoBfv16agXJOJ/sxBjowftgxL0ggps49JRBsR12i/SwyEEgXAkScIxJphWUCcOSBA7QogDAoHAwqg1qfkkgCc/AJZ+iP0MBec1NmzdIm/FtbMT8rwP87c/xPP+kIJ7oW1t4XnfZH59w7YmtsfakJSTexJrBgyM3d76mgC7vJhFvuZtAnvG1FsFCptAwXFCkqQ2CedvT/r27QvApk2bGDp0aKPtmzZtYsCAAaG+lZWV7N+/n65du4b18/v97NixI1T8b9q0adxwww2h7V27diU9PR2/309FRUVY1EBxcXEolD89PZ2vv/467NjFxcWhbXW/69oa9nG5XI2iBaZPn84HH3zA6tWrycrKCrUvX76cHTt2NIpeGDt2LMOGDWPlypWNXouW0iphIDc3l2+//ZZevXod8wAELUPOiCLqjh7o31Vb6QWlAfzP70E+w4l9XDpyelR7D/GEYAkCL1O07cOQIJDc/QJ6DZxKfOoZR9i7c9NIHHgrGDkgxAGB4KTG9JvUrNTwfOzH9FhttmwZ53V27KeIScjxxDRNCOhWOP5h8u+t7YeG5p9Az3uHDalBwT1swpLyaGhoE6gH0wKatQlMstULAMImUCBoMbm5uSQlJfHkk082Egbef/99tm3bFnLQu/7667nnnnt48sknGxUfnDdvHjU1NaEU+KSkpLB8foCBAwdis9nIz89n7NixAGzZsoXdu3eTk5MDQE5ODg8//DAHDhwgNTUVgKVLl+Jyuejfv3+oz4cffhh27KVLl4aOAdb3xIwZM1i4cCErV64kOzs7rP+9997LLbfcEtZ25pln8tRTT3HVVVcd3Yt3BFolDFxxxRXcfffdbNy4kTPPPBObLXzCcfXVV7fJ4ARNI0kS6kAXyhlOAh+WoH1airHejXfzDtTRydiuSOm06QVCEDg66sQB04Saj4PigASxFwtxQCA42TB1k9oCDc+SAEaFNcNUMiSc19iJOltM/FpCQ8/7sHD8o8i/72ie94LWEbIJ3FlbXxegOZvAuAY2gT2ETaBA0FIqKytZt25dWFtycjIvvvgi48ePZ+rUqUyfPh2Xy0V+fj533303U6ZM4fLLLwege/fuPP7449x1111ER0dz4403YrPZWLx4MX/605+YM2dOWA7/ocTHxzN58mRmzZpFUlISLpeLGTNmkJOTw5AhQwC45JJL6N+/PzfeeCOPP/44RUVF3H///dx2221ERVkLttOmTePZZ59l9uzZ3HzzzSxfvpwFCxaQl5cXOtdtt93G/PnzWbx4MXFxcaH6BPHx8cTExJCent5kwcHu3bs3EhFaS6vsCmW5+UmnJEno+jGGrrUzkWZJYhT78L9ZhLHeDVhqtO2GNJRzXZ3mhq+mcg87v/8PRVvzhCDQAkzTxL0oQM3HVg5j3Hi7EAcEgpME0zTxfa/jXuRHL7a+6uVECefVNqKHnLyTxZDn/aHh+IfJvw+t6HvboLCeownP+yby7xv1OwbPe0HraGQTuKsWY/fR2AQGRQBhE9hpiLS5QR0tsarraEycOJFXX321UfvkyZN56aWX+Oyzz3j44YcpKCigqqoKgMcee4zZs2c32mfx4sU8+eSTfPfdd3g8VsjcG2+8wfjx4484Dq/Xy5133skbb7yBz+cjNzeX559/PmyS/ssvv3DrrbeycuVKHA4HEyZM4G9/+xuqWr8Gv3LlSmbOnMnGjRvJysrigQceYOLEiaHtzV0rXnnllbB+DZEkqU3tClslDHR2IvHDb5om+g/VBN600gsA5H4O7L/JQM6I3PSCJgWBbhfQa+AU4tPObOfRRQamaeJeGKDmEyEOCAQnC/7NOtUL/Wi7rAmM5ADH5XZih6tItpNzomJ6A2hf/IK+YgdmhffYDhajhlvfHSH/ntjgKv4J8LwXtJ4W2QR2tyb/dWKAsAns3ETi3AAiWxhoCV6vlzFjxrBnzx5WrVpFSkpKs33LysoYOXIkLpeLjz76qNPXzGvJe+CYy0N6vd5O/UaLFCRJQh3gQunvJPDRQbSPD2Js8uB9aDvqqGRsV6ZEVCGbmqq97PruPxRu/UAIAseIJEk4r7WEgJpPAlS/GUwruEiIAwJBZyPwi457oR//pqAgEAWxo2zEjrYhx5yckxazyou28me0z3ZZ+fp1tMTzvm7CHxNsExPAiCdkE9jQIeBINoHBH2ETKBB0LKKjo1m8eDFz585l9erVoXoATZGUlMSyZct47rnnKCgoYOTIkSdwpB2bVkUM6LrOI488wrx58yguLmbr1q306tWLBx54gJ49ezJ58uTjMdYTRqSqgg0xDvgJLChC/6EaAClBxfbrdJTzO3Z6QdOCwFArZUAIAseEaZq43wtQ82kwcuC3dmKHC3FAIOgMaMUG7sV+fGuDq5sKxFyo4rzcjuzquNf844lR4kHL347+5e5Qfr+U5kQd1Qfl3EykqLa1zhJ0XBrZBO6qxTx4GJvAYFFAYRMoqCNS5wYnS8SAoHmOe8TAww8/zKuvvsrjjz/OlClTQu1nnHEGc+fOjXhhoDMgp9qJmt4d/cdq/G8WYpYE8P97L/JqB/bfpCNndqyLgxAEjj+SJOG8Lhg58GmA6vlBtwIhDggEEYteYeD5IEDtFxoYgATRg1WcV9lQupyckxljTwXa0u3o3+8LVfOXeiZiG90X+cx0sdrfyTH9BsaehpEAR2ET2DPoEtBN2AQKBIKTl1YJA6+99hr/+te/GDlyJNOmTQu1n3322WzevLnNBic4dpSz4oju50D75CCBDw9ibPHg/csO1BHJ2K5OQYpp3y/A2qp97Pz+ZUsQMIKCQFYO2QOnkpB+VruOrTMSEgdMqFkqxAGBIFIxPCaeTwLULA9AcOHTfqaC8xo7tqyTTxAwTRNj60G0pdswNpeE2uXT01BH90Hundyho+UEraORTeCuWsz9h7EJbFATQNgECgQCQTitEgb27dtHnz59GrUbhkEg0ERolqBdkWwytitTUYYkEHirCH1dNdqyUrRvKrFfn4YyOP6E3zAJQaD9kCQJ51gbYFKzVLPEAQliLxTigEDQ0TH9JjXLA3g+CWDWWG223jLO6+zY+5x8kxzTMDHW7SewdBvmnkqrUZZQBmaijuqDnBkf3t80KfcdJKD7cdpdxKgOZOnkE1IikTCbwGBNgKOyCayrC+ASqSMCgUBwOFp1lezfvz+fffYZPXr0CGt/5513OOecc9pkYIK2R+5iJ+q27ujrq/G/UYR5wI//5X3Iq8ux/zYDOev4pxdYgsB/KNy6JCQIJGUNodfAqSSkn33czy+wsMQBO4AlDrwejBwQ4oBA0CExdZPaLzQ8HwQwKq2JkNpVwnmtHfuZJ1+lezOgo3+1By1/O2aJZT2FTUEZ2h11RB+MRBuFNfvYW/gde9272Fu9k33uXexz76JGc4eOIyERa3PitLlw2OJw2OKa/NtpcxFri8Npi8Npd+FQ43DYXdhkcc08HjRpE/iLF3zN2AT2jGlQF0DYBAoEAkFraJUw8OCDDzJhwgT27duHYRi89957bNmyhddee40PPvigrccoaGOUM+KI/n8OtKWlBPJKMLbV4P3rDtSLk7BdnYoU2/arTrXV+9n53ctCEOhAhMQBE2qWCXFAIOiImIaJ7zsd92I/+gFLEJCTJZxX24gepJ50+fJmTQDts51oK3+Gah8AeoxM4bkm35+6m5+1Fez7YRdFnj1oZhMV5gFZUlBlG37di4mJJ1CNJ1DdqvFEKdFBEcGF8zDCgsPmwmmPw6EGhQWbi2glRkxeg4RsAndaAsBR2QTWpQMIm0CBQCBoE1olDIwZM4YlS5bwl7/8BYfDwYMPPsi5557LkiVLGD16dFuPUXAckGwytstTUAbHE3i7GH1tFVp+GdrXldjHpqHkJLTJF21t9X52ffcf9m99XwgCHRBJknBeHxQH8oPigASxw4Q4IBC0J6Zp4t9k4F7oR9sdrKgfB87L7cQMU5FsJ89EyDRNyg/spzZ/E65v3ah+67mXxVTzQfcvWJH5HT41AHvD94tWYsh09iTT2ZOsuGyynNlkxWWTHpuFTbET0P14AtW4A1W4A1V4Am48ob+rQ9vqftcE3FZff1Uo6sCne/HpXsq8JYcO+4gokorD5mwkLFh/10UqWJEJIUFBdVqPbXEoUmSmjlg2gbVhVoFm5WFsArPrHQKETaBAIBAcP1plV9jZiVRLkmNB3+jG/0YhZpG1aiz3jrHSC7rHtOp4TQsCg4OCwIC2GragjTBNE/fbfmryrZuzuN/bhTggELQTgZ067oV+/FuCgkA0xI62ETvKhhzdeSdFuqFRVLOXvdVWyP9e9068+0sY8FNXhuzrh8201jJ2O4v5oOcaCtLXo8sGCVHJZDmzGwgA1u+k6NTjVj9AN3VqA54GIkIV7kPEhPC/q3D7q0N/NxfN0BJiVEdQTHA1iE5whgkLjgapD057fVuUcmKcicJsAndadQGOaBNYlxIgbAIFHYhInRsIu0LBcbcrvOWWW/j973/PRRdd1JrdBR0Qpb+T6D/3RssvI7CkBGNHLd45P6MOT8R2TdpRV+6trS5k1/f/Yf+WxUIQiCAkScL562DkwHKN6v8GIwd+JcQBgeBEoRUZuBf58X0fDKFWIXa4iuMyO3Jc5xEEarUaa+JfvZO97p2hvxuG//euyOSqXRdw3oFLkLGe+47kIn466wCB01wMiLuWK52zyHT2xGk/8TfpiqTgtLtadW7TNPHrXtyHCgeB6gZ/WxEMoe3++u1e3ao6Wat5qNU8lNQWtXgMNtneZB2FsLaw1If67c0VbGxkE7irFrPYf3Q2gd1jkKKECCAQCATtSauEgZKSEi699FJSUlIYP348v/vd7xgwYEAbD01wopFUGVtuF5RB8QTeLkL/pgptZTnat1XYr0tDuaD59IJ6QeB9TMO6sUvKHEyvgVNIyBAFKSMBSZJw3hAsSLhco/r/8yMBMUIcEAiOK3q5gXtJAO8azZpESRA9RMV5lQ0lOTInS3XV//e5d7Gv2lr9rysCWOotbmYnGFjej2t/GU6vkrRQs69fHLG5p3NGnzTOOEHjP55IkkSUGkOUGkNyTGqL99eMQDDtoU5YqEt3aCwsWIJC/faaQDUGBgHDT4WvlApfaYvPLyPjVFz0qelLn8o+9CzvQdfSdJLLE5GNxu9XLcHE6K4i94wlulc8tp5OYRMoEAiOyMSJE6moqGDRokVNbl+zZg1z5syhoKCA2tpa+vbty6RJk7j99ttRlPBrzAcffMATTzzBd999h67rnH766dx2221MnDjxiOPwer3ceeedvPnmm/h8PnJzc3n++edJS6v/ntq9eze33norK1aswOl0MmHCBB599FFUtX6qvXLlSmbNmsWGDRvo1q0b999/f9j5X3jhBV544QV27doFwOmnn86DDz7IZZddFupTVFTE3XffzdKlS6murubUU0/lf//3fxk7duyRX9CjoFXCwOLFiykvL+ftt99m/vz5/OMf/+C0007jd7/7Hb/97W/p2bNnmwxO0D7IiTaipnZDv9CDf34hZqEP/2v7kT8rx/bbDJSe9ekFQhDoXBwqDlQFIwdiLhDigEDQ1hhuE8/HAWpWBCAYWR51toLzGjtq18gQBKzw/32hVf99bisKYG91ePX/Q0mISrZC/53ZZDl60u+XDNK+1FAKgx6MsoRyfhbqqD7EZERO2O6JQJVtxEclEh+V2OJ9DdPAq9U0WVPBHRQVPIFq3P76dAiPrxpneQxpJSl0L+9G74pedK/qjt2wNzp+pb2SnxN+5ueEnaHfVVFV1kYT2AHRu2JCtRQcIUeIpmsqNKy74LDFiYKNAoEAgIULF3LDDTcwadIkVqxYQUJCAsuWLWP27NkUFBSwYMGC0LXimWee4Y477uCee+7hhRdewG63s3jxYqZNm8b69ev5+9//fthzzZw5k7y8PN5++23i4+OZPn061113HV988QUAuq5zxRVXkJ6ezpo1aygsLOSmm27CZrPxyCOPALBz506uuOIKpk2bxuuvv05+fj633HILGRkZ5ObmApCVlcXf/vY3+vbti2mavPrqq4wZM4bvv/+e008/HYCbbrqJiooK3n//fbp06cL8+fO54YYb+Pbbb9vEGbBNagzs3buXN954g//85z9s27YNTTv23Ln2JFLziI4HpmairSgl8H4JeA2QQB2WiDba5JetrwZTBuoEgUFkD5xKohAEIh7TNKle4Kd2uQYSuG60C3FAIGgjTJ+JJz9AzScBTK/VZusrW9aDvTvmSmqtVsN+9y72NLD92+veSaF7d/PV/5FJc2SGBIDMuJ6hWgBx9nhMv4ZesBtt+Q7M0qAgYFdQf9UT9eLeSImtq3EjaD0tsQk0ok1qu2pUZdRQmlZJcUoJB6MO4tHDhYU64eFwQtHRYhVsrE93CCvYGEx9cDRIfXDa4oI2ky5ibc6ILdgoaH8idW5waH65aZp49SYcP04A0UrLrHWbixjweDz06NGD4cOH8+6774ZtW7JkCVdffTVvvvkm48aNY8+ePfTu3ZsZM2bw5JNPhvV95pln+OMf/8iXX37J4MGDmxxDZWUlKSkpzJ8/n+uvvx6AzZs3069fPwoKChgyZAgfffQRV155Jfv37w9FEcybN4977rmHkpIS7HY799xzD3l5eaxfvz507PHjx1NRUcHHH3/c7GuQlJTEE088weTJkwFwOp288MIL3HjjjaE+ycnJPPbYY9xyyy1NHuO41xhoSCAQ4Ntvv+Wrr75i165dYWEVgshHUiVso7ugnh+P/91i9C8r0VaXE/jCjZZZhpmik5QlBIHOhiRJxN1g1RyoXaFR9f9ZRSmFOCAQtB5TM6n9XMOTF8CosjR5NUvGea0N++ktu2E6LuMzTSp8pQ3y/3eFagAcPEweu12Jtgr+NSgAmOnsSYajG3YlqvF5PH4C+VvQVv0MbuvagtOOelEv1GHZSI7GK9GC44NRHsD4JVgYsE4E8ByFTWDPGKQUO05ZIgXofRTn0k2dmmAKRKNijf4qPFp1sEBjeGpEnbCgmxq6qVHlL6fKX96q5xurOhvVVgiJCPamizfWbW/qvSwQRBpeXeei999ql3OvvHocMeoxTz359NNPKS0t5a677mq07aqrruKUU07hjTfeYNy4cbzzzjsEAoEm+/7hD3/gT3/6E2+88UazwsDatWsJBAKMGjUq1HbaaafRvXv3kDBQUFDAmWeeGTYHzs3N5dZbb2XDhg2cc845FBQUhB2jrs8dd9zR5Hl1Xeftt9/G4/GQk5MTah86dChvvfUWV1xxBQkJCSxYsACv19tmdf9a/d9ZsWIF8+fP591338UwDK677jo++OADRowY0SYDE3QsfMpBdp7yGtWVG8ne9Tsctd3pvXsS2doEYi7pjZIR295DFLQxkiQRNy4oDqwMigMSxAwV4oBA0BJMw8T7rY5nsR/9oCUIKF0kHGPsRJ+nnHAPdt3QKK7Zb036DxEAPIHqZveLtyeFVv2zGggAXWLSj6r6v1Fei7Z8O/oXv4DfmnxKybGoI/ugDOmOZBeruccTs1qzRIAGVoFHtAkMOgS0hU2gIinE2eOJs8e3fOymiU/3Nqqp4A4KCs0LC1XBgo21ANRobmo0NyW1hS0eg12OalpUCLk91KdGHCo6xKiOdhf+BILOwtatWwHo169fk9tPO+20UJ+tW7cSHx9PRkZGo352u51evXqF+jZFUVERdrudhISEsPa0tDSKiopCfQ5dGK97fKQ+VVVV1NbWEhNjRcj99NNP5OTk4PV6cTqdLFy4kP79+4f2WbBgAePGjSM5ORlVVYmNjWXhwoX06dOn2efQElolDGRmZlJWVsall17Kv/71L6666iqiooSS2hnxVheyc90r7N8cTBlwwO6R79NXn4a60o68H3yP7kS5IAH72DSkuGNXAgUdB0mSiBtvrd7VrtSoei0oDuQIcUAgOBKmaeLfoONeFEDbY4Viyy4JxxU2Yn6lIqnHd6Lg1WpDIf8NowAKPbvRjCYs47DC/1NjuzYQALJDAkBrJnQARmEV2tLt6N/uBcMSRqRMF+rovijndEVSIqOeQiRh1gZtAhtEA5ilR2ET2DMGObPj2QRKkkS0GkO0GkOXmJZHpgaMQH3NhIbCQUhQCHeFOFRYMDHxGz78Ph/lvoMtPr+MHExpqBcLYm1xOO0NRYZDUiNC7U5UWXznCtqGaEVh5dXj2u3cbcnhsuHt9qOPPKvr+8gjj4RqAgBs3Lix9YNrJaeeeirr1q2jsrKSd955hwkTJrBq1aqQOPDAAw9QUVHBsmXL6NKlC4sWLeKGG27gs88+48wzzzzm87dqFvf//t//49e//nUj9UTQefC6i9j1/Svs27woVEMgsev59Bo4lcSu5wJgjtKs9II1FehfVFD7fRW2a1JRhyed8BUwwfGjkTjwajCtQIgDAkGz+HfouBf5CWy1BAEpGmJzbThG2pCi2u76aJomlb6yBqv+O4NFAHcd1sbOrkST6egRmvRnxVlRABmO7m0WMq3vKEVbuh1jff045FO6oI7qi9wvRaygthGtsgnMjkHuEX3S2ATaZBsJUUkkRCW1eF/DNKjVPGE1E+ojFapDwkLY9kAVNUG7yYDhx8DAHajEHahs1fijlZhw4cBeJxw0UbzxEGEhSokWnzVBCEmS2iScvz3p27cvAJs2bWLo0KGNtm/atCnklte3b18qKyvZv38/Xbt2Devn9/vZsWNHqPjftGnTuOGGG0Lbu3btSnp6On6/n4qKirB5b3FxMenp6QCkp6fz9ddfhx27uLg4tK3ud11bwz4ulysULQCWSFG3+j9w4EC++eYbnn76aV588UV27NjBs88+y/r160PFCM8++2w+++wznnvuOebNm3cUr97hadU7Y8qUKQBs376dHTt2cOGFFxITE4NpmuLiE+E0LQicFxQEBob1lVwqUZMy0Ycl4n+jEHO3l8D8IrTPKrD/NgOlj0gv6CyExAETalcJcUAgaA5tv4F7kR/fD8E8bRViL1ZxXGpHdrb++1E3NA4Ew//3hhwArCKA7kBVs/u57IlhYf+WAJB91OH/LcU0TIwNxWhLt2H8XGY1SiCfnYFtdF/kHi2vpC+ox9RMzH1WJIC+qxZjpxdzvxca1wZESrIFowCi61MCYkW6RkuRJTmUFtAafLq3QbRCvbBQE0x9qKuhEF6s0XKNqCvY6NVr8eq1zVt9HgZVUuuFgwYFGuuEhYYigrOBA0RdwcbjcZ0QCI6F3NxckpKSePLJJxsJA++//z7btm1j7ty5AFx//fXcc889PPnkk42KD86bN4+amhpuuukmwCr0l5QULh4OHDgQm81Gfn5+yBJwy5Yt7N69O5T7n5OTw8MPP8yBAwdITbUsaJcuXYrL5Qqt9Ofk5PDhhx+GHXvp0qVh9QOawjAMfD4fADU1VpFeWQ7/TCqKgmE08SXQClolDJSWlnLDDTewYsUKJEli27Zt9OrVi8mTJ5OYmNjohRd0fCxB4P+CgoAVbticIHAoSp9Yov+3F9qqcgKLijH3ePE9thMlJx779elIrshWJgUWkiQR95tg5IAQBwSCMPRSA/eSAN4vNWulVoLooSrOK20oSUd/Y10X/m+lANQLAPs9vzQb/i8hkRqbSVaD8P9MZ08y43risie0zRM8AqZuoH+7F23ZdszCYJ0CVUYZ1A11ZB/kNOcJGUdnwjRMzCJfqB6AsasWY48XtCZCAeIU5J4xKA1SAsR3b8cgSokmSokmKTqlxfvqhoZHc9eLBg1rKtTVWQhUUROKVKhPh3AHqjFMHc3UqPSXUekvA0/Lzi8hEaM6rDoKahyOBqkPh9ZROPRvp82FTRGFRAXHRmVlJevWrQtrS05O5sUXX2T8+PFMnTqV6dOn43K5yM/P5+6772bKlClcfvnlAHTv3p3HH3+cu+66i+joaG688UZsNhuLFy/mT3/6E3PmzOGMM85o9vzx8fFMnjyZWbNmkZSUhMvlYsaMGeTk5DBkyBAALrnkEvr378+NN97I448/TlFREffffz+33XZbKNV+2rRpPPvss8yePZubb76Z5cuXs2DBAvLy8kLnuu+++7jsssvo3r071dXVzJ8/n5UrV/LJJ58AVu2EPn368Ic//IG///3vJCcns2jRIpYuXcoHH3zQJq93q741Zs6cic1mY/fu3WGFH8aNG8esWbOEMBBBNC0IDCR74FSSup531MeRZAnbxUmo57nwLyxG/6wCvaCS2nXV2K5ORb046ZgLFwnan7C0gjpxQIKYIUIcEJycGG4Tz4d+alZpEKzjFnWOgnOMHTWjaUHANE0q/eXBSf/OYBFAKxXgsOH/chRdnT1CYf91AkBXZ492q5hu+jT0Nb9YloPlVoE3otV6y8H4w1sjCSxM08QsCTQoDti8TSCxMnKPmLC6AFKiKiI2OyGKrOKyJ7RK4LNs6Wob1EyoChZnrBMOrKiE+r8toaFOZPDpXkzMUMHG1mBXonGozmCBxoapD+E1FQ5Nh3DaXUQrseI9LWDlypWcc06469nkyZN56aWXWLFiBQ8//DDDhg2jqsqKnHvssceYPXt2WP+ZM2fSq1cvnnzySZ5++mk8Hkshe+ONNxg/fvwRx/DUU08hyzJjx47F5/ORm5vL888/H9quKAoffPABt956Kzk5OTgcDiZMmMBf/vKXUJ/s7Gzy8vKYOXMmTz/9NFlZWbz00kuhNAaAAwcOcNNNN1FYWEh8fDxnnXUWn3zyCaNHjwbAZrPx4Ycfcu+993LVVVfhdrvp06cPr776akgIOVYk83CVG5ohPT2dTz75hLPPPpu4uDh++OEHevXqxc8//8xZZ52F233sXrXtSaR6lbYEr7u4QcqAJQgkZAyk13ktEwSaQ99ZQ+D1QuvGBpAyo6z0glMcx3xsQftjGibVb/ipXa2BBK6JUcQMEatTgpMHw2tSsyxAzdIApnWZw3aqTNy1dmzZVri2bupW+H9w1b+hAHD48P8Ea9If15PMugKAzp6kxGZ0mLBes9qHtupntNU7oSYYyeCKQr24N+qveiLFCLHwcBjlgbCaAEe2CYwJpQVIqXYxYRIcd+oLNobXVHA3EBoOFRY8oQgGN2ZTRS5agCwpOGxxdHNm8/CvXm6jZ9V6InVu0BIP+0jG6/UyZswY9uzZw6pVq0hJaT5Cp6ysjJEjR+Jyufjoo4+Ije3cqc8teQ+06k7e4/E0+SKWlZUJd4IOjtddzK51/8e+TQsbCALn0uu8P7SJIFCHkh2L/Kde6J+X43/vAOY+H74ndqEMjsd2fRpygrhpjGQkuUFawWqNqv+z8p+EOCDo7JgBk9rPNNwf+jGDEfNKN/DkHmBr+hb2eHay71srBaDQs5uA4W/yOFb4f9fQqn+oBoCzJ66ojpuHbxz0oC3fgV6wGwJBy8EUB+qoPiiDuiHZRA77oRy1TaAqIWdF19cE6Bm0CRTFfAXtQFsVbAwVawyroVDdSExo+LdmBDBMnWp/xWEtVAWCOqKjo1m8eDFz585l9erVoXoATZGUlMSyZct47rnnKCgoYOTIkSdwpB2bVkUMXH755QwcOJC//vWvxMXF8eOPP9KjRw/Gjx+PYRi88847x2OsJ4xIVQUPx4kSBJrCdGsEFh1AW11u5d5GydiuTkEdkXzc7boExxfTMKme76f2s2DkwKQoYgYLcUDQ+TB0g4qCarwfGCjllihWGXeQj/v/f6xMXogpNf1VGgr/d/ZsIABk09XZnSglclZvjL2VaMu2o3+3r95ysHuCVVDw7AwxeQ0Ssgls6BAQwTaBAsGJxjQta8i6mgomBj1cfdt7WBE7NzhZIgYEzXPcIwaeeOIJRowYwbfffovf72f27Nls2LCBsrIyvvjii1YNWnB88HoOWDUENr0XLggMnEpi1/NOSDii5FSx/74r6rBE/K8XYuysJfB2MdrnQfeC00R6QaQiyRJxvw26FXyuUfWKz6o5MEiIA4LIpC78f19d4b/qXdg2Ozj/u1y6VmWjABVRB8nr+wpfdMvDkK1V8zh7QnDynx1WA6BLbDqKFJmr6KZpYmwrRVu2DWPjgVC7fFoK6ui+yKd0OalD2ltkE5hmDxcBukWfFDaBAkFLkSTpmAo2CgSC1tPiu/dAIMAf//hHlixZwtKlS4mLi8PtdnPddddx2223kZGRcTzGKWghTQoC6efQ67w/nDBB4FDkHjFE3ZuNvqYC/7vFmIU+fE/uQjnfhe36dOQkkV4QiUiyRNzvgmkFn2tU/SeYViDEAUEHxqfVst+zO1j5/+eQELC/Qfh/77IzuWbzH+hbfjYANWo1n/d7nz0DNpOekMkf4u4LCQAdOfy/pZiGifFTIYFPt2H+UmE1SqCcm4k6qg9yt4T2HF67UGcTqO+qtdIChE2gQCAQCDoZLb5zt9ls/PjjjyQmJvK///u/x2NMgmPA6znAL8GUAUO3bm7bWxBoiCRLqL9KRDnHRWDxAbSVZejfVKH/6MZ2ZQrqqCQkVayiRBpCHBB0VCp95Vbl/+qdlgjgtgoBltQUNlscq7v7VG7YNp0++wcAYKg6+q9qSL/CxY2uqSdw9CcWM6Cjf7MXLX87ZnGwiLBNRhnSHXVEH+SUkyO6q0U2gS4VuWc0So8Y5OygCCBsAgUCgUAQgbTq2+v3v/89L7/8Mn/729/aejyCVuLzlLBr3SuHCAIDgoLA+e0uCByK5FCw/zYD9VcJ+OcXYuyoJfBuMdoX5dh/k4HSX3heRxpNiQOSBNHni5tkwfFFN3VKagpDq/4NBYBqf0Wz+zlt8WFh/921U8j4rC/S2igrHFyGmAtUHFfEoCRGTk5pSzFrA2hf7EJb8TNUBi0WYmyoF2ajXtQLKa7zFhUO2QTWRQIIm0CBQCAQnKS06o5d0zT+85//sGzZMgYOHIjDEb6K8I9//KNFx3vuued44oknKCoq4uyzz+aZZ55h0KBBTfa96KKLWLVqVaP2yy+/nLy8PAAmTpzIq6++GrY9NzeXjz/+uEXjigQsQcBKGYgEQeBQ5O4xRN2TjV5QaaUXFPnxPfULyrkubDekISfb23uIghZQJw6YJni/0Kh82YocEOKAoC3w6V72u3cHbf92hib/+9278Ru+ZvdLje0arPhviQCZcT3JcvbCZU9AkiSMKhP3R35qV2kQdIyLGqjgHGNHTeu8EUxmlRdtxc9on++E2mCV/IRoy3Lwgh5I0Z0vvcs0TIzNHvQtnpBLADVN2ARGycjdo+uFgOxopBRhEygQCASCzkur7tbXr1/PueeeC8DWrVvDtrX0S/Ott95i1qxZzJs3j8GDBzN37lxyc3PZsmULqampjfq/9957+P319k+lpaWcffbZ/PrXvw7rd+mll/LKK6+EHnc2G8WmBIH49LPpPXAaiZkdXxBoiCRJqEMTUAbEEXj/ANqKMvTvqtDXV2O7PAX1kmRRqTmCkGQJ1+8tQUeIA4LWUOUrr1/1r65f/T9Qs7/Z8H+bbKerozuZDSIAsuKy6eroTpQa0+Q+Rq2JZ6mfmmUBzKCuYO8n47zGjq1n580JN0rcaMt2oH+1GzRrZVxKc1qWg+d365TpXKbPQPuyAm1ZKWbRIRaSwiZQIBAIBILWCQMrVqxoswH84x//YMqUKUyaNAmAefPmkZeXx3/+8x/uvffeRv2TksL9VN98801iY2MbCQNRUVGkp6e32Tg7CpYg8GpQELDuZCNVEDgUKVbBPj4D9VeJ+N8oxNhaY9kcrqnAPj4d5cy49h6i4CgJiQMmeNdoVP7HciuIPk+IAwILwzQoqSlkrzsY+l+906oFcMTwf1do0p/ZwAIwNbbrUVf/NwMmNas0PB/5MYOp9GpPSxCI6teJBYHdFWhLt6Gv2x+qnC9nJ1oOA2ekd8qJsFERQFtRZtnluoORAdEyyrku5OwYlOwYpMyoTimGCAQCgUDQEtr1Lt3v97N27Vruu+++UJssy4waNYqCgoKjOsbLL7/M+PHjG6UzrFy5ktTUVBITExkxYgRz5swhOTm5yWP4fD58vvow1KqqqlY8m+NLk4JA2tn0Ou8PJGUOimhB4FDkrGii7uqJ/nUlgbeLMQ/48f1zN8qAOGzj0pG7iPSCSECSJVw3BiMH1gQjBySIHijEgZMJn+6lsC78v0ENgP3uXw4b/p8Sk2Gt/AcFAOt3NvH2xFZf70zDxPuVhvv9AEaZNTNW0iRLEDhH6VTX0TpM08TYUoK2dBvGloOhdvn0NEsQ6J3UKZ+38UstgWWl6N9UgW79r6UuNtSRyagXJCDFdF4BSCAQCASC1tCud+gHDx5E13XS0tLC2tPS0ti8efMR9//6669Zv349L7/8clj7pZdeynXXXUd2djY7duzgT3/6E5dddhkFBQUoSuObgUcffZSHHnro2J7MceJkEgQaIkkS6uAElLPiCHxQgpZfir6uGn2DG9tlXVAv7SLSCyKAkDhggrdAo/KlYFqBEAc6HVX+iuCq/6763+5dHKjZ12z4vyrb6OroEZr41wkBXR09iG4m/L81mKaJ7wcd9yI/eqE1FjlBwnGVjZgcFUnpfNdR0zDR1+1HW7oNc0+l1ShLKAMzUUf1Rc7sfMUUredcjbasFGNbTahd7hOLOjoZZUBcp4yKEAgEgs7IxIkTqaioYNGiRU1uX7NmDXPmzKGgoIDa2lr69u3LpEmTuP3228Pme6tWreKhhx5i3bp1eL1eMjMzGTp0KP/+97+x25tfbFy5ciWzZs1iw4YNdOvWjfvvv5+JEyeG9TlSnTyv18udd97Jm2++ic/nIzc3l+effz5s7rt7925uvfVWVqxYgdPpZMKECTz66KOoqnWvXFhYyJ133sm3337L9u3b+eMf/8jcuXNb/oIeBRF9d/7yyy9z5plnNipUOH78+NDfZ555JmeddRa9e/dm5cqVjBw5stFx7rvvPmbNmhV6XFVVRbdu3Y7fwI8SQ/fz5Tu/IeAtB+oEgakkZQ7utILAoUgxCvZfp6NekIB/fhHGFg+B90vQCiqwjctAPVukF3R0JFnCdVMwckCIAxGNYRocrC1iTyjsv74GQNVhwv8dtriw8P+6IoCpjsyjDv9vLf6tOu6FfgI/B3PpY8FxmZ3Yi1Qke+e7jpoBHf3L3Wj5OzAPeqxGu4IytAfqiN7ISbHtO8DjgOnV0T6vQFteilkSsBoVUAbGW4JAz7YTmQQCgUDQ/ixcuJAbbriBSZMmsWLFChISEli2bBmzZ8+moKCABQsWIEkSGzdu5NJLL2XGjBn885//JCYmhm3btvHuu++i600Ung2yc+dOrrjiCqZNm8brr79Ofn4+t9xyCxkZGeTm5gJHVydv5syZ5OXl8fbbbxMfH8/06dO57rrr+OKLLwDQdZ0rrriC9PR01qxZQ2FhITfddBM2m41HHnkEsCLbU1JSuP/++3nqqaeO6+sqmabZ9FLOCcDv9xMbG8s777zDNddcE2qfMGECFRUVLF68uNl9PR4PXbt25S9/+Qu33377Ec+VkpLCnDlz+MMf/nDEvlVVVcTHx1NZWYnL1b6rKtu/eobywu+CEQInjyDQFKZpon9bRWBBEWaFVUFbPtOJfXwGcqpIL+jomIZJ1Wt+vAUayBB/S5QQBzooft3HfvcvwVV/K/R/X/Uu9nl+wa97m90vJSY9LOy/TgCIjzrx4eqBPTruRQH864Nf/DZwjLIRe4kNObbzXUfNmgDaZzvRVv4M1cEUjVgb6kW9UC/MRnJ2rgK8AMZBP9ryMrTPy6E2aC/oUFAvTES9OAk5sfO5KggEgvahI80NWoLX62Xnzp1kZ2cTHR2NaZp4DzMhPp5EKy1L2WsuYsDj8dCjRw+GDx/Ou+++G7ZtyZIlXH311bz55puMGzeOuXPn8vTTT7Nz584WjfWee+4hLy+P9evXh9rGjx9PRUVFyOVu8ODBnH/++Tz77LMAGIZBt27dmDFjBvfeey+VlZWkpKQwf/58rr/+egA2b95Mv379KCgoYMiQIXz00UdceeWV7N+/PxRFMG/ePO655x5KSkoaRTRcdNFFDBgwoEURA4e+Bw5Hu96V2+12Bg4cSH5+fkgYMAyD/Px8pk+ffth93377bXw+H7///e+PeJ69e/dSWlpKRkZGWwz7hNLrvGlIsvBJhmB6wfnxKGc6CeQdRFtaivGTG++m7aiXdsF2aRekKJFe0FEJRQ6Y4P0yGDkgQfS5QhxoL6r9lQ3C/q0IgL3VRw7/z3B0D0YAWKv/mc6edHX2IEZt/9VorcTA874f79fBGx8ZYoapOK6wocR3vuuDWVFrWQ5+sQu8lmAqJcagjuyNktMDKapzfb5M08TYUYu2tBT9+6pQEUUp3W7VD8hJEN8DAoFA0AxeXefiRZ+2y7lXXHMJMeqxfyd9+umnlJaWctdddzXadtVVV3HKKafwxhtvMG7cONLT0yksLGT16tVceOGFR32OgoICRo0aFdaWm5vLHXfcARxdnby1a9cSCATCjnPaaafRvXv3kDBQUFDAmWeeGZZakJuby6233sqGDRs455xzjnrMbUG73zHMmjWLCRMmcN555zFo0CDmzp2Lx+MJuRTcdNNNZGZm8uijj4bt9/LLL3PNNdc0Kijodrt56KGHGDt2LOnp6ezYsYPZs2fTp0+fUOhHJCErYsXjUKRoBfvYNCu94I1CjI0etA9K0AsqsI1Lt/JIhZDSIZFkCdeEYFrBlxqV//bBFCEOHE/qwv+tSX94AcAqf3mz+8WqzmDef3aDIoDZpMV2RZE73v9LrzTw5AWo/UyD4OJx9PkKjqvtqKmdb6JoFFWj5W9H/3pPfXG9jDjU0X1RBmYiKZ3rOZuaib62yqofsKs21C73c2AbnYx8ulPUDxAIBIKTgK1btwLQr1+/JrefdtppoT6//vWv+eSTTxg+fDjp6ekMGTKEkSNHctNNNx028qOoqKjJGnhVVVXU1tZSXl5+xDp5RUVF2O12EhISGvUpKio67Hnqtp1o2v3ubty4cZSUlPDggw9SVFTEgAED+Pjjj0Mvyu7du5Hl8BucLVu28Pnnn/Ppp40VL0VR+PHHH3n11VepqKiga9euXHLJJfz1r38lKqrzhVKezMjpUUTd0QP9u2orvaA0gP/5PchnOLGPS0dOF//vjogQB44Pft1HoWd3A+u/4O8jhP93iUkny9nTCv0PFgDMdPYkISo5IgQ2o9ak5pMAnvwABO3p7acrOK+xYeve+SrPGzvLCCzdhvFTUb3lYO9k1Ev6IvdPjYj/WUswPRra6nK05WWhFDJUCWVIPLaRychZhw+LFAgEAkE90YrCimsuabdztyWHy4avC8FXFIVXXnmFOXPmsHz5cr766iseeeQRHnvsMb7++msyMjJwOp2h/X7/+98zb968Nh1nJNEh7sSnT5/ebOrAypUrG7Wdeuqpzb4ZYmJi+OSTT9pyeIIOjCRJqANdKGc4CXxYgvZpKcZ6N97NO1BHJ2O7IkWElXZAQuKAaeL9SrfEgakQfU6HuCR1aKr9lQ1W/esFgAM1+zHqlsoPQZVUMpzdQ2H/dQJAV2fPDhH+3xrMgEnNSg3PR37MYI09W7aM81o79lM7lyBgmibGxgOW5eD20lC7fFY66qi+KL2S2nF0xwejyIeWX4q2pgL8we97l4rtokTU4UlILnGtEAgEgpYiSVKbhPO3J3379gVg06ZNDB06tNH2TZs2MWDAgLC2zMxMbrzxRm688Ub++te/csoppzBv3ryQW0EddVEE6enpFBcXhx2juLgYl8tFTEwMiqKgKEqTfdLT00PH8Pv9VFRUhEUNHNrn66+/bnSMum0nmsh+ZwgEQaQoGfu1aahDE/C/WYSx3o320UH0ryqx3ZCGcq6r062kRTqSLOGaGAWmD+/XOpX/EuJAHXXh/w3D/uscACr9Zc3uVx/+Xx8BkOnsSXpsZocM/28Npm7iLdBwfxDAKLcmjEqGhPMaO1Fnt6ywUUfH1A307/ahLduOua/KalQklPO7oY7qg5zeuVxZTNPE2OwhEKwfU4eUFYVtVDLKoHhhUysQCAQnObm5uSQlJfHkk082Egbef/99tm3bdtjifImJiWRkZODxWKsKffr0adQnJyeHDz/8MKxt6dKl5OTkAEdXJ2/gwIHYbDby8/MZO3YsYEW97969O3ScnJwcHn74YQ4cOBByMli6dCkul4v+/fu38JU5djrHnaJAEEROiyLqj93Rf6gm8GYwvWDeXuR+Duy/yUDOEOkFHQlJlnBNigIaiAN/gOgBJ8elKaD72e/ZHWb7t8+9i33uXfgOE/6fHJ0WEgCynNlkBosARkr4f2swTRPf9zruxX70IksQkBMlnFfbiB6idqr8ctOvoRfsRsvfjlkWzKePUlAv6Il6cW+kxM5lv2cGDPSvKgksK8XcF3RUkEA5Kw51VDLyqbGd9n0tEAgEguaprKwMW9EHSE5O5sUXX2T8+PFMnTqV6dOn43K5yM/P5+6772bKlClcfvnlALz44ousW7eOa6+9lt69e+P1ennttdfYsGEDzzzzTLPnnTZtGs8++yyzZ8/m5ptvZvny5SxYsIC8vLxQnyPVyYuPj2fy5MnMmjWLpKQkXC4XM2bMICcnhyFDhgBwySWX0L9/f2688UYef/xxioqKuP/++7ntttvCUuDrXgO3201JSQnr1q3Dbre3uXhwctx9C04qJElCHeBC6e8k8NFBtI8PYmzy4H1oO+qoZGxXpiBFd65Q40imkTjwYucTB9z+qlDV/4YCQLFnX7Ph/4qkkuHoFlr1zwpFAPQgRnWc4GfQvvg361Qv9KPtsl4ryQGOy+3EDleRbJ1nwmi6/Zbl4KqfwR0smOC011sOxnYuW1azSiOwsgxtZRlUB10k7BLqBYmoI5OQ04SQKxAIBCczK1eubFSZf/Lkybz00kusWLGChx9+mGHDhlFVZUXVPfbYY8yePTvUd9CgQXz++edMmzaN/fv343Q6Of3001m0aBHDhw9v9rzZ2dnk5eUxc+ZMnn76abKysnjppZfCCtkfqU4ewFNPPYUsy4wdOxafz0dubi7PP/98aLuiKHzwwQfceuut5OTk4HA4mDBhAn/5y1/CxtPwNVi7di3z58+nR48e7Nq1q2Uv6BGQzMNVbjhJiVSvUkHTGAf8BBYUof9QDYCUoGL7dTrK+SK9oCNh6iZVr/jwfqODDPF/iIooccAwDUpri9nn3sWeQwSACl9ps/tZ4f/B0P8GNQDSYruiyie3K0lgt457YQD/RmvSKEVB7CgbsaNtyDGd57NrlNWgLd+BvuYX8Aefa5dY1JF9UAZ3R7J3LiHT2OslsKwU/atK0IKOCokq6ohk1GGJSI7O9XwFAkHkE6lzg5Z42EcyXq+XMWPGsGfPHlatWkVKSkp7D6nD0JL3QOTcdQsErUROtRM1vTv6j9X43yzELAng//de5NUO7L9JR87svBfKSEJSrMgBEx++bxqkFZzdcS5TuqlTWltMoWcPhZ49FHn2UOTZa/1ds/ew1f+To1PDwv7rBIDEqC5CoDoErdjA/b4f37fBVWQFYi5UcVxuR3F1ntfK2F+Ftmwb+rf7wAhOkLPiLcvBARmdynLQNEyMn9wElpVibPaE2uXsGNTRySjnuJDUzvO/FQgEAsGJIzo6msWLFzN37lxWr14dyukXtIyOc8ctEBxnlLPiiO7nQPvkIIEPD2Js8eD9yw7UEcnYrk5BihGrVO2NpEjET4qisk4ceNGH9AeIOoHigGYEKKkppLDGmvjXiwB7KfbsRTO1ZvetC/9vWPnfKgLY86QL/28NeoWBJy9A7ecaGIAE0YMUHFfZUVM6zyRZ31FqOQysr69mLJ/SBXV0X+TTUjqVUGT6DLQ1FWj5pZjFwfQICZRzXZYg0DsyXTEEAoFA0LGIjo7m3nvvbe9hRDRCGBCcVEg2GduVqShDEqz0gu+r0ZaVon1Tif36NJTB8Z3qpjwSOVQcqHjRR0IbiwMB3U9xzb7Qqn/D3wdqCzFMvdl9VdlGWmwm6Y4sMhzdyHB0I93RjYzYbqTEZpz04f+twfCYeD4NUJMfgIDVZj9TwXmNHVtW5xAETMPEWF+Etmw7xs9BZwkJ5AFdsY3qg9wjsX0H2MYYZQG0FWVoq8uhJvh5ipFRhyWijkhCTu5c9RIEAoFAIIh0hDAgOCmRu9iJ+p/u6Ovd+N8oxDzgx//yPuTV5dh/m4GcJdIL2pOQOGD68H0bFAemQdRZR3/J8mm1FNXsDQv7r/t9sLYYk+bLq9jlKGuy7+jWSABIjklDkUR0SVtg+k1qlgfwfBLArLHabL1lnNfasfftHK+xqRno3+61LAeLrDonqDLKoG6oI/sgpznbd4BtjL6zBm1pKfraKurqakopdtSRSagXJIjCrwKBQCAQdFCEMCA4qVHOcBL9/3qjLS0lkFeCsa0G7193oF6chO3qVKRYcRPbXkiKRPzNQXFgrU7FvMbiQE3AHZr8h4f976HMW3LY40crsfWr/Q1X/h3dSIzugix1jpXqjoipm9R+oeHJC2BUWAKN2lXCeY0d+1lKp4jaMb0BtC9+QV+xA7MiWHsiWkUd1hP1ot5I8Z1HfDR1E31dFdrSUowdtaF2+ZRYK13grLhOZScpEAgEAkFnRAgDgpMeySZjuzwFZXA8gbeL0ddWoeWXoX1diX1sGkpOgripbSckRUK+0UfA78P2k4OyeTV8Nvo9vu+yikLPHir9ZYfd32GLI8PRPWzSnx5rRQDERyV1igloJGEaJr7vddyL/ejFliAgJ0s4r7YRPUjtFJ8zs9qHtupntNU7oSaYF+GKQr24N+qveiLFdJ5UE7NGR/u8HG15GWZp8LkqEsogF7ZRycjdY9p3gAKBQCAQCI4aIQwIBEHkZDtR07qhbwymFxT58f/ffuTPgukF4ib3uGCaJpX+8kYr/nW/3YEq5CyFyQcfZGDhCIZ+OoafBn5NZaolCrjsiY1W/Ot+x9nj2/nZCerwbdRxL/Sj7bbiy6U4cF5uJ2aYimSLfEHAOOhBy9+O/uVuCASfY4rDchg4PwvJ1nmij4wDfrTlpWifV4AvmC/gVFCHJ2K7KAkpofOIHwKBQCAQnCwIYUAgOASlv5PoP/dGyy8jsKQEY0ct3jk/Wze916QiOcTHpqWYpkm57yCFnt0NJv57QwJAreY57P7xMYkUjHif1IJMuv18Krd99xjemw6SMrALDlvcCXoWgtYQ2GUJAv7NwclyFMReYiN2lA05uhMIAnsr0ZZuQ/9uH3VlK6QeCdhG9UU+O6NTREGA9Rk2tgXrB/xQXf9cM6KwjUpCGZKAZBfpNwKBQCAQRCpihiMQNIGkythyu6AMiifwTjH615VoK8vRvq3Cfl0aygUiveBQDNOgtLa4yXz/opq9+HRvs/tKSHSJSWu04p/h6EZabBbRqhWtYV5gUvmSD993EPP/paI6o+CME/UMBS1BKzJwL/bj+y5YkV6F2OEqjsvsyHGR/dmxJskH0ZZux9h0INQu90tFHd0HuW+XTpOmYmoG+jdVBJaVYu6u/wzLZzitdIH+jk7zXAUCgUAgOJkRwoBAcBjkRBtRU7LQL0zEP78Qc78P/2tWeoHttxkoPU+u9ALd0DhQW9jI4q/Qs4cDNfsJGP5m95WRSYntSoYjq1HBv7TYTOxK1BHPLykS8bdEBcUBnYoXfCTcClFniEtZR0EvN/B8EKB2jWZVpZcgeoiK80obSpfIXlE2DRPjh0ICy7Zh/lJhNUqgnJuJOqoPcreE9hxem2JWa2iry9FWlGFWalajTULNSUAdmYTctfMUTxQIBAKBQCCEAYHgqFBOdRD9QG+0FaUE3i/B2FmL75GfUYclYrs2FcnZeT5KAd3Pgdr9Teb7H6gpRDe1ZvdVJZU0RxbpsVmNVv9TYjOwyceeexwSB/7tw/e9EAc6CobHxPNxgJoVAQjWoYs6W8E5xo6aGeGCQEBH/3oPWv52zAPBtBebjDKku2U52MXRvgNsQ4xCH9qyUrSCCghY+QJSvIp6cRLqhYlIceJzJhAIBILjz8SJE6moqGDRokVNbl+zZg1z5syhoKCA2tpa+vbty6RJk7j99ttRlPq6PqtWreKhhx5i3bp1eL1eMjMzGTp0KP/+97+x2+3Nnn/lypXMmjWLDRs20K1bN+6//34mTpwY1ue5557jiSeeoKioiLPPPptnnnmGQYMGhbZ7vV7uvPNO3nzzTXw+H7m5uTz//POkpaUB8MMPP/C3v/2Nzz//nIMHD9KzZ0+mTZvG7bff3uSYvvjiC4YPH84ZZ5zBunXrju6FbAHiG14gOEokVcI2ugvq+fH43y1G/7LSWlFbW4XtmlTrpjlC0gt8updiz75GE//Cmj0crCnCqDMgbwK7HEWaI6tRwb8MRzeSY9JQpONfZE1SJOKnHCIO/A9EnS4uaSca02dSszyA55MAZtCpztZHxnmdHXvvyC64Z9YG0D7fhbZiB1T5rMZYG+qF2ajDeyHFHTnKJRIwTRNjg4dAfinGeneoXeoejW10Msp5LiQ1ssUdgUAgEHQeFi5cyA033MCkSZNYsWIFCQkJLFu2jNmzZ1NQUMCCBQuQJImNGzdy6aWXMmPGDP75z38SExPDtm3bePfdd9F1vdnj79y5kyuuuIJp06bx+uuvk5+fzy233EJGRga5ubkAvPXWW8yaNYt58+YxePBg5s6dS25uLlu2bCE1NRWAmTNnkpeXx9tvv018fDzTp0/nuuuu44svvgBg7dq1pKam8t///pdu3bqxZs0apk6diqIoTJ8+PWxMFRUV3HTTTYwcOZLi4uLj8rpKpmmax+XIEUxVVRXx8fFUVlbicrnaeziCDoq+1WO5F+y1Jgxyj2hsv8lA6R3bziOzqNU8FHn2NrnyX+o9cNh9o5WYJvP90x3dSIpOQZY6xiTB1E0q/+XDt04HFRL+J0qIAycIUzep/VzD80EAo8r6GlGzZJzX2rCfrkR03rlZ6UVbuQPts13gDUbIJERjG9EHZWh3pOjOUXXf9BvoX1YQWFaGWRgUPiRQzo5DHZ2M3Dc2ov+PAoFA0FZE6tzA6/Wyc+dOsrOziY6OxjRNvHrziz/Hk2hFbtF3SnMRAx6Phx49ejB8+HDefffdsG1Llizh6quv5s0332TcuHHMnTuXp59+mp07d7ZorPfccw95eXmsX78+1DZ+/HgqKir4+OOPARg8eDDnn38+zz77LACGYdCtWzdmzJjBvffeS2VlJSkpKcyfP5/rr78egM2bN9OvXz8KCgoYMmRIk+e+7bbb2LRpE8uXLw9rHz9+PH379kVRFBYtWnTUEQOHvgcOh7iDFghaiXKKg+j7e6OtLCOw+ADGL158f9uJckEC9rFpJyTk1hOobjTxr/u7wld62H1jVSddnd1Jd3QjPTYrTARIiEqOiAlBWOTAOp2K530k3AZR/cWl7XhhGia+tTruxX70EksQULpIOMbYiT5PiZiomaYwDrjRlm1H/3oPaEEXhXQn6qi+KOdldZpVc7MiQGBlGdqqcnAHV0yiZNRfJaCOSEZObT60UiAQCASRi1c3GPHud+1y7uVjzyVGPfZIwk8//ZTS0lLuuuuuRtuuuuoqTjnlFN544w3GjRtHeno6hYWFrF69mgsvvPCoz1FQUMCoUaPC2nJzc7njjjsA8Pv9rF27lvvuuy+0XZZlRo0aRUFBAWBFAwQCgbDjnHbaaXTv3v2wwkBlZSVJSUlhba+88go///wz//3vf5kzZ85RP4+WIu6eBYJjQFIkbCOT69ML1lSgf1FB7ffB9ILhScc0UTJNkyp/BYWe3VZ1/2AEQFGNZfdX7a847P4ue0KjFf+633G2+IiY/B8JSQ2KA//y4ftBp+I5IQ4cD0zTxL9Bx70ogLbHmjTLLgnH5TZihqlIauS+l4xfygks246xbn/Ihk/ulWQVFDwjPaLFjoYYu2sJLCtF/7oK9GD9gGQb6ogk1F8lIsVGduqHQCAQCDo/W7duBaBfv35Nbj/ttNNCfX7961/zySefMHz4cNLT0xkyZAgjR47kpptuOmzkR1FRUagOQB1paWlUVVVRW1tLeXk5uq432Wfz5s2hY9jtdhISEhr1KSoqavK8a9as4a233iIvLy/Utm3bNu69914+++wzVPX43tuKO2eBoA2QXCpRkzLRhyVa6QW7vQTmF6F9VoH9txkofZpPLzBNk3LfwUYr/oVBIaBGcze7L0BiVBfSHVlNhv07bHFt/VQ7JJIqET+1gTjwvI+E/5GI6i8mOm2B/2cd90I/ga3BVfRoiM21ETvChhwdmZNm0zQxNpegLd2GsfVgqF0+PQ31kr4ovZPbcXRth2mY6D9Woy0txdhaE2qXe8egjk5GGeBCUiLzfygQCASClhGtyCwfe267nbstOVw2fF1RQUVReOWVV5gzZw7Lly/nq6++4pFHHuGxxx7j66+/JiMjA6fTGdrv97//PfPmzWvTcR4t69evZ8yYMfz5z3/mkksuAUDXdX7729/y0EMPccoppxz3MQhhQCBoQ5Q+sUT/by+0VeUEFhVj7vHie2wnck487itkCpUmCv559uDTvYc9bpeY9NDkPyPWmvRbP1nEqB2jpkF701gc8JJwWzRR/YQ40Fq0/QbuxX6rhgOACrEXqzgutSM7I3MyaeoG+rpCtKXbMPdWWo2yhHJeJuqovshdIyd39HCYXh3tiwq0/DLMkqCNqAzKefGoo5JQssV1QyAQCE42JElqk3D+9qRv374AbNq0iaFDhzbavmnTJgYMGBDWlpmZyY033siNN97IX//6V0455RTmzZsXciuooy6KID09vVGBv+LiYlwuFzExMSiKgqIoTfZJT08PHcPv91NRUREWNdCwTx0bN25k5MiRTJ06lfvvvz/UXl1dzbfffsv3338fKkZoGAamaaKqKp9++ikjRow4ilft6BDCgEDQRuiGRkltEUWevRT13EPZ74rovborp285BQoq4Zsavjj1XZb2XIYhhxd+kZFJic1osuBfamxXohThGX40NBIHnhPiQGvQywzcSwJ4CzQrtF6C6KEqzittKEmRmWdv+nX0r3ZbloMHgyvndgVlaA/UEb2RkzrHRNko9aMtL0P7rBxqg9eZWAX1wkTUi5OQkzpH4USBQCAQnJzk5uaSlJTEk08+2UgYeP/999m2bRtz585tdv/ExEQyMjLweCz74T59+jTqk5OTw4cffhjWtnTpUnJycgArImHgwIHk5+dzzTXXANaEPT8/PzSBHzhwIDabjfz8fMaOHQvAli1b2L17d+g4ABs2bGDEiBFMmDCBhx9+OOycLpeLn376Kazt+eefZ/ny5bzzzjtkZ2c3+zxbgxAGBIIWEDACHKjZ32jFv9CzhwM1+9FNLXyHU6BXSi8m/jSB3pW9uGnDjVy2/3LWjdiKcoojJAKkxnbFJosb9ragThyoeNGH/0chDrQEw23i+dBPzSoNgm/lqHMUnGPsqBkRKgjU+NFW70RbtROqg5X3HXbU4dmoF/ZCcnaOQnv6jhq0paXo31dR5zYqpdpRRyWjDk1AiorM/59AIBAITl4qKysbVd9PTk7mxRdfZPz48UydOpXp06fjcrnIz8/n7rvvZsqUKVx++eUAvPjii6xbt45rr72W3r174/V6ee2119iwYQPPPPNMs+edNm0azz77LLNnz+bmm29m+fLlLFiwICz3f9asWUyYMIHzzjuPQYMGMXfuXDweD5MmTQIgPj6eyZMnM2vWLJKSknC5XMyYMYOcnJxQ4cH169czYsQIcnNzmTVrVqj2gKIopKSkIMsyZ5xxRtjYUlNTiY6ObtTeFghhQCA4BL/uo7hmX5M2fyU1hRg0b/Nik+2kO7KsFf/Y+tX/lOsyUdfGoC06SEp5MqPfzUEZHI/t+jRkpxAE2hpJlUioEwd+EuLAkTC8JjX5AWo+DWAGs1psp8rEXWvHlh2Zr5lZXou2YgfaF7vAZ6VCSEkxqCP6oOR0R4qK/K8/UzfRv6uy6gfsrA21y/0c2EYmI5/p7DSFEwUCgUBw8rFy5UrOOeecsLbJkyfz0ksvsWLFCh5++GGGDRtGVVUVAI899hizZ88O9R00aBCff/4506ZNY//+/TidTk4//XQWLVrE8OHDmz1vdnY2eXl5zJw5k6effpqsrCxeeuklcnNzQ33GjRtHSUkJDz74IEVFRQwYMICPP/44rCDhU089hSzLjB07Fp/PR25uLs8//3xo+zvvvENJSQn//e9/+e9//xtq79GjB7t27Wr169ZaJPNwlRtOUjqSV6n+UxHoBlJWPFKy8JRuK2q1Givkv27iX1Nf7K+0thiT5j8WUUp0owr/dWH/SdGpyFLzK3OmWyOw6ADa6nIrRDtKxnZ1CuqI5Iiu6t5RMQNmSBzABonTo7GfFpkT3eOBqZnUfqbhyfNjVFttajcZ53U27P2UiLzeGEXVluXgN3vqK+93daGO7oNybiZSGxc/ag9Mj472WTnaijLMsoDVqEqW2DgqGTlLpB4JBAJBW9KR5gYtoSUe9pGM1+tlzJgx7Nmzh1WrVpGSktLeQ+owtOQ9EPlLJp0c7dOtGDvLrQexNuSseORuCUjd4pGz4pFSxYpQc3gC1c1W+i/3HTzsvrGqs9lK/4lRXVo9YZKcKvbfd0Udloj/9UKMnbUE3i5G+zzoXnCao1XHFTSNZJNI+EN95ED5s14hDmBVqvd+reNZ4kc/aE2elVQJ59V2ogYqEXlN0X8uQ1u2DePHegsguU8y6ui+yP1TI1LkOBSj2IeWX4a2pgJ8wcilOAX1oiRsFyUhucRXukAgEAhOPqKjo1m8eDFz585l9erVoZx+QcsQEQNN0JFUQf87P2FsL8UsrPedDsOuWAJBVjxyt6BokBHXKVbFjoRpmlQHKpvM9y/y7KHKX3HY/ePsCWQ4skiPbbzyH2dPOO4TCdMw0ddU4H+3GNxWqLNyngvbr9NFgbA2plHkwIxo7KeefOKAaZr41+u4FwXQ9loTSzlewnGljZgL1IizrTNNE2PjAbRPt2HsKA21y2elYxvdFzk7qR1H1zaYpomxpQZtWSn6j9XUBTNJmVHYRiWjDI5HsnX+671AIBC0Jx1pbtASTpaIAUHziIiBToT9+jMBMDUDs7AKY08lxp4KzL2VGHurwK9j/FwGP5eh1+2kykgZccjdEurFgq4uJHvkTYRM06TCVxq+4l+zN/S3J1B92P0TopIbrfhnOLqRHpuF096+F3ZJllB/lYhyjovA4gNoK8vQv61C/8mN7YouqKOTkVRxw98WhCIH5vnwr9cpf8Z70okD/u067oV+AtstQUCKAcelNmJH2JDsESYI6Ab62n1oy7Zj7rfyClEklEHdUEf2QU6Pa98BtgFmwED/upLAsjLMvfV2pvKZTmyjk5FPc3SKKAiBQCAQCAQdAyEMRAiSKiN1S0DulgD0AKwVZ7O4GmNPpSUUBEUDvBrmnkr0PZX1YoEsIaU5Q2KB1C0BOdOFFNP+K9OGaVDmLWkm7H8PXr32sPsnR6cFJ/1Zh4gAWcSoHT80X3Io2H+bgfqrBPxvFGFsryHw3gG0NRXYf5OB0t/Z3kPsFEg2iYRpJ584ENhn4F7kx/9j8Gpgg9iLbTgutSE7Imtiafo09IJf0PJ3YJYHrwtRCuoFPVFH9EZKiGnfAbYBZrWGtrKMwMpyqApaQ9gl1KEJqCOTkdOj2neAAoFAIBAIOiUilaAJIjVcCIJiQWlNUCioqBcL3P4m+0spjrCaBXK3eCRn29946qZOaW1xo4l/oWcPxZ69+A1fs/vKyHSJTScjtnHBvzRHJlFK5wmNMk0TvaDSSi8ITgqUc13YbkhDTu4ctmrtjRkwQ+IA9mBawSmdTxzQDxq4lwTwfqVZ4ecyxFyg4rjChpIYWZEoptuHtmon2uqd4Aley+KiUC/qhTqsJ1Js5H82jH1eAstK0b+sBC1YNDFBRR2RhHphIpJD6PgCgUDQXkTq3ECkEghEKsFJjCRLSCkOSHGgnNMVsCabVHpDIkFdhIFZXotZ4kEv8cB3++qPkRhjCQXdEkJiAfHRRwxb1YwAB2oKQxP/ogaV/os9e9FMrdl9ZUkhLbZrk5X+U2O6YlMi/8b/aJAka2VQGRBH4P0DaCvK0L+rQl9fje3yFNRLkkU+8TESihx4wYd/Q4PIgU4iDhhVJu6P/NSu0qgLGYoaqOC82o6aHlnvHaOsBm35DvQ1v4A/aDnYJRZ1ZB+Uwd0jMj2qIaZhYmxwE1hWirHRE2qXe8agjkpGGegSbiUCgUAgEAhOCEIYOAmQJAkSYlASYlDOTA+1m9U+jL0NahbsqcQs8ViCQXltWHVv4qKQu8VjZjqpTNUoTChnt20/hTV1q/97KaktxDD1JkZgoco20mPrK/03rPqfEpOOKrd/WkNHQYpVsI/PQP1VIv43CjG21lg2h2sqsI9PRzkz8nOo2xPJJpFwa+cSB4xak5plAWqWBjCDATj2fjLOa+zYekbW8zL2VaEt24a+dh8YwdXzrHjUS/qiDOgaka4JDTF9BlpBBVp+KWZRMAJCAuUcF+roZOTeMaJ+gEAgEAgEghOKEAZOYqS4KJR+qSj9UkNtZm0A7y8HqN65h8DuUmz7fTjKZORqH8bGA7DxAC7ABWSpKrviYtjpisPhSkSJ81Lq8pDuyGyy4F9STCqKFFkTlPZGzoom6q6eVhGyt4sxD/jx/XM3yoA4bDekI6ecHJEUx4OQOPC8D//GyBUHzIBJ7WoN94d+TLfVpvaQcV5rJ6pf5DwX0zQxdpShLd2GsaE41C6f2gV1VF/k01IifrJslAfQVpShrS4HT1BEjZFRf5WIenGS+DwLBAKBQCBoN4QwcJJSE3A3tvgLVvsv85ZYnTKsH7uu0q06jezqDHpWZdCruitZ7hQcWgynl2dzenl2/YEPtU+MT0BKjBPV9Y8BSZJQByegnBVH4IMStPxS9HXV6Bvc2C7tgnppFyS7eH1bg2STSPifenGg4lkvCTOisfft+BNq0zDxfqXhfj+AUWatqitpEs4xdqLOVSJmEm0aJsb6IksQ2FluNUqgDOiKOqoPco/E9h1gG6DvqrXsBr+tDKV3SF1sqCOTUS9IQIrp+O83gUAgEAgEnRshDHRiqv2VjSr814kAVf7yw+7rtMWHVfevD//vRrw9EXQTs6g6rGaBsbfyKO0T45G6xkd8fvCJRopRsP86HfWCBPzzizC2eAgsKUH7sgLbuAzUs0V6QWtoJA4807HFAdM08f2o417kR99vCQJygoTjKhsxOSqSEiGCgGagf7MHLX87ZlFdqIOMMjhoOZga2W4cpmGir6tGW1qKsb0m1C6fEos6MhllQFzEp0QIBAKBQCDoPAhhIIIxTZNKf3mzNn/uQNVh94+3JzUq9FeX+x9njz/8yVXJigrIioec4HgME/OA26pZsKcyVL+A2sPZJ1pFDuuO1RHsEzs6ctdoou7sgf5tFYEFRZglAfzP7kY704l9fAZyqghHbin1aQVe/JsMSxz4YzT2Ph1LHPBv03Ev9BPYYQAgxYLjUhuxF9uQ7JExyTS9AbQvfkFbsQMqvFZjtIo6LBv14l5IrsiummzW6mhfBOsHHAxYjQoo58djG5WM3CPyLRUFAoFAIDjeTJw4kYqKChYtWtTk9jVr1jBnzhwKCgqora2lb9++TJo0idtvvx1Fqb9/W7VqFQ899BDr1q3D6/WSmZnJ0KFD+fe//43d3vw988qVK5k1axYbNmygW7du3H///UycODGsz3PPPccTTzxBUVERZ599Ns888wyDBg0Kbfd6vdx55528+eab+Hw+cnNzef7550lLSwOgtLSU3/3ud/z444+UlpaSmprKmDFjeOSRR8LcL15//XUef/xxtm3bRnx8PJdddhlPPPEEycnJrXhlm0cIAx0cwzQo9x5sbPFXs5dCzx5qNc9h90+KTmky3z89NotYW9uuyEmyhJQeh5weB+d3AyzxwiytsYSCPRVBsaASqn2YhdXohdXoX++tP0aKw4ooyKp3RZDihG/3oUiShHp+PMqZTgJ5B61VyZ/ceDdtR720C7ZLuyBFifSCliDZJRL+J7peHPhnxxEHAnt03IsClsUigA1iR9pw5NqQYyNEEKj2oa382bIcrA1OmF1RqCN6o17QM+JFQaPEj7a8DO3zcvBawg0OBXV4sH5AQmQ/P4FAIBAIOgoLFy7khhtuYNKkSaxYsYKEhASWLVvG7NmzKSgoYMGCBUiSxMaNG7n00kuZMWMG//znP4mJiWHbtm28++676HrzBdN37tzJFVdcwbRp03j99dfJz8/nlltuISMjg9zcXADeeustZs2axbx58xg8eDBz584lNzeXLVu2kJpq1W+bOXMmeXl5vP3228THxzN9+nSuu+46vvjiCwBkWWbMmDHMmTOHlJQUtm/fzm233UZZWRnz588H4IsvvuCmm27iqaee4qqrrmLfvn1MmzaNKVOm8N5777Xp6yqZpmm26RFbwZHUlob83//9H5MmTQpri4qKwuv1hh6bpsmf//xn/v3vf1NRUcEFF1zACy+8QN++fY9qPB3Jq/SPK65nT/XPzW6XkOgSk970yn9sJlFqx1udCrNPrHNF2GPZJzaFlBhTX7MgmI5wNPaJJxNGkc9yLwhanknJNmw3pKOcEydepxZi+s2QOCBF0a7igFZi4Hnfj/cbHUxAhphhKo4rbCjxkSH8GAc9aPnb0b/cDYFgpEOa07IcPD8Lydb+wktrMU0TY3uNVT/g+2rrfwRI6XbUUcmoQxKEQCcQCASdgI40N2gJh3rYm6aJt/n58HElWqFF96TNRQx4PB569OjB8OHDeffdd8O2LVmyhKuvvpo333yTcePGMXfuXJ5++ml27tzZorHec8895OXlsX79+lDb+PHjqaio4OOPPwZg8ODBnH/++Tz77LMAGIZBt27dmDFjBvfeey+VlZWkpKQwf/58rr/+egA2b95Mv379KCgoYMiQIU2e+5///CdPPPEEe/bsAeDvf/87L7zwAjt27Aj1eeaZZ3jsscfYu3dvk8doyKHvgcPR7hEDR6O2HIrL5WLLli2hx4e+yR5//HH++c9/8uqrr5Kdnc0DDzxAbm4uGzduPOIL0tFIik5ln/sXUmMywlf8g7/TYjOxKZEVOt6sfaLbFxIL6iIMwuwTf2pgn+i0N6hZYKUiSF1iT9pJsJweRdQdPdC/rybwVhFmaQD/C3uQT3diH5+OnC6iLo6WjhA5oFeZePL81H6mhYrVRZ2v4LzajpoaGRNNY08F2tLt6N/vq58w90jAdklf5DMzIjq/3tRM9LWVVqTOL/WitNzfgW10MnJ/Z0Q/P4FAIBB0Trw6jH6zrF3OvXR8EjFtMPP89NNPKS0t5a677mq07aqrruKUU07hjTfeYNy4caSnp1NYWMjq1au58MILj/ocBQUFjBo1KqwtNzeXO+64AwC/38/atWu57777QttlWWbUqFEUFBQAsHbtWgKBQNhxTjvtNLp3796sMLB//37ee+89hg8fHmrLycnhT3/6Ex9++CGXXXYZBw4c4J133uHyyy8/6udztLS7MPCPf/yDKVOmhKIA5s2bR15eHv/5z3+49957m9xHkiTS09Ob3GaaJnPnzuX+++9nzJgxALz22mukpaWxaNEixo8ff3yeyHFi1rkPE2tzosqdPwxVcjZtn2jsq8IMFjk09lRgFrvB7cfYdABj04H6A8SoyFkJDVIR4pHSTp4CX5IkoZ7rQjndSeDDErRPSzE2uPE+tAN1dDK2K1LE6uVREhIHnvPi3xwUB26Pxt77+IoDRq1JzacBavIDmD6rzX66gvMaG7buHX9l3TRNjK0HLYeBzSWhdrl/qmU52Dc5osU706OhrSpHW1GGWaFZjaqEkhOPbWQycmZkCc8CgUAgEEQaW7duBaBfv35Nbj/ttNNCfX7961/zySefMHz4cNLT0xkyZAgjR47kpptuOmzkR1FRUagOQB1paWlUVVVRW1tLeXk5uq432Wfz5s2hY9jtdhISEhr1KSoqCmv7zW9+w+LFi6mtreWqq67ipZdeCm274IILeP311xk3bhxerxdN07jqqqt47rnnDvMqtY52FQaORm1pCrfbTY8ePTAMg3PPPZdHHnmE008/HbByQoqKisLUmfj4eAYPHkxBQUGTwoDP58Pn84UeV1UdvmjficQVFflWXceCFGND6ZMMfeqLa5h+HXN/VcgRwdhbibm/Cmo1jG0HMbYdrD+AXUHOdNXXLOgWj5Th6tT2iVKUjP3aNNShCfjfLMJY70b76CD6V5XYbkhDOdcV0ZOzE4Vkl0i4LZqKZ734tzSIHDgO4oAZMKlZqeH5yI8ZLBtiy5ZxXmvHfmoECAKGifFDIYGl2zB3V1iNsoRybqZlOZh1hGKmHRyjyIe2rBStoAL8wfAHl4rt4kTU4UlIce2usQsEAoFAcESiFWvlvr3O3ZYcLhu+rqigoii88sorzJkzh+XLl/PVV1/xyCOP8Nhjj/H111+TkZGB01lfc+33v/898+bNa9uBHgVPPfUUf/7zn9m6dSv33Xcfs2bN4vnnnwdg48aN3H777Tz44IPk5uZSWFjI3XffzbRp03j55ZfbdBztejdz8ODBI6oth3Lqqafyn//8h7POOovKykr+/ve/M3ToUDZs2EBWVlZIgWnqmIeqM3U8+uijPPTQQ23wjAQnAsmuIPVMRO5ZL5qYuoFZWB0qcFjnioBft7zRd5bXOyIoElKGK6xmgZTpQrJ3rpt7OS2KqD92R/+hmsCbwfSCeXuR+zmw/yYDOUOkFxwJyS6RMP34iQOmbuL9UsO9JIBRbn3BKRkSzjF2ogYoHV7AMQM6+td70JZtxyypUzQUlJzuqCN6I3dxtO8AjwHTNDE2eQgsswp71iF1i8Y2KhnlfBeSrfMKjAKBQCDofEiS1Cbh/O1JXc24TZs2MXTo0EbbN23axIABA8LaMjMzufHGG7nxxhv561//yimnnMK8efNCbgV11EURpKenU1xcHHaM4uJiXC4XMTExKIqCoihN9qmLak9PT8fv91NRUREWNdCwTx3p6emkp6dz2mmnkZSUxLBhw3jggQfIyMjg0Ucf5YILLuDuu+8G4KyzzsLhcDBs2DDmzJlDRkbG0b94RyDi3ho5OTnk5OSEHg8dOpR+/frx4osv8te//rVVx6xTZuqoqqqiW7duxzxWwYlDUuR6+8QgIfvEBjULjD2VUBvA3FuJvrcSvWB38AAgpcWF2yd2i3z7REmSUAe4UPo7CXx8EO2jgxibPHgf2o46KhnblSlIbS3hdjLqxIHyZ70E2kgcME0T3zod92I/eqElCMiJEs6rbEQPUZGUDi4I1AbQPt9lWQ5WBaOtYm2oF2ajDu8V0U4iZsBA/7KSQH4p5r7gc5NAOSsOdXQy8iknby0TgUAgEAjam9zcXJKSknjyyScbCQPvv/8+27ZtY+7cuc3un5iYSEZGBh6PtaDRp0+fRn1ycnL48MMPw9qWLl0amoPa7XYGDhxIfn4+11xzDWAVH8zPz2f69OkADBw4EJvNRn5+PmPHjgVgy5Yt7N69O2wueyiGYRVqrotmr6mpQVXDp+x1doxt7SHQrsJAly5djqi2HAmbzcY555zD9u3bAUL7FRcXhykoxcXFjdSjOqKiooiKitwbWUHThNknnpcFBO0Ty2rDahaE7BOLqtGLqtG/aWCf2OUQ+8RukWmfKNll7FenouYkEHirCP2HarRPSq30gl+nW6ufYrLTLJJdIvFQceD2aOy9Wi4O+LfouBf6CewMVuh3gOMyO7EXqUi2jv0/MCu9aCt2oH2+C7xWjr2UGIM6ojfK0B5IURGnNYcwqzQCK8rQVpVBdV3FRxl1aALqqCTk1Mj73AsEAoFAEMlUVlaGregDJCcn8+KLLzJ+/HimTp3K9OnTcblc5Ofnc/fddzNlypRQYb4XX3yRdevWce2119K7d2+8Xi+vvfYaGzZs4Jlnnmn2vNOmTePZZ59l9uzZ3HzzzSxfvpwFCxaQl5cX6jNr1iwmTJjAeeedx6BBg5g7dy4ejydUNy8+Pp7Jkycza9YskpKScLlczJgxg5ycnFDhwQ8//JDi4mLOP/98nE4nGzZs4O677+aCCy6gZ8+egFVQccqUKbzwwguhVII77riDQYMG0bVr1zZ8tdtZGDgateVI6LrOTz/9FHoDZGdnk56eTn5+fkgIqKqq4quvvuLWW289Hk9DEEFIkoSUHAvJsSgD6j9MZqU3vGbBngpLQDjoQT/oge/31x8jIRopq84RwRIMSIgM+0Q5xU7U9O7oP1bjf7MQsySA/997kVc7sP8mXRRPOwySXSLxtqA4sNWg4mkviXdEY8s+OnEgsFvHvTCAf6M16ZSiIHaUjdjRNuSYjv3eMYrdluXg13tACwoa6XGoo/ugnJeFpERuSL2xx0tgWSn615WgWcq7lGRDHZGEOiwRKVZE1AgEAoFA0B6sXLmSc845J6xt8uTJvPTSS6xYsYKHH36YYcOGherDPfbYY8yePTvUd9CgQXz++edMmzaN/fv343Q6Of3001m0aFFY5f9Dyc7OJi8vj5kzZ/L000+TlZXFSy+9RG5ubqjPuHHjKCkp4cEHH6SoqIgBAwbw8ccfh6WzP/XUU8iyzNixY/H5fOTm5oZqBwDExMTw73//m5kzZ+Lz+ejWrRvXXXddWAH+iRMnUl1dzbPPPsudd95JQkICI0aM4LHHHmv9C9sMktnWMQgt5K233mLChAm8+OKLIbVlMFx9pwAAfSxJREFUwYIFbN68mbS0NG666SYyMzN59NFHAfjLX/7CkCFD6NOnDxUVFTzxxBMsWrSItWvX0r9/f8B6U/ztb38Lsyv88ccfj9quMFK9SgVti+n2Y+ytCLdPPOBpurPTjtwwqqBbPFKyo0M7IpgBA+2TgwQ+PAgBE2RQRyRjuzoFKUZMhprD9JkhcUCK5ojigHbAwL3Yj+/b4Cq0AjHDVBxX2FFcHff9AWDsKiewdBvGj4Uhy0G5VxLq6L7Ip6d16Pf34TANE/0nN9qyUozN9Z9puVcM6qhkq0BnB0/nEAgEAsGJI1LnBi3xsI9kvF4vY8aMYc+ePaxatYqUlJT2HlKHoSXvgXaP+zyS2rJ7925kuX41qry8nClTplBUVERiYiIDBw5kzZo1IVEAYPbs2Xg8HqZOnUpFRQW/+tWv+Pjjjzv1B0LQ9khOO8ppqSinNbBP9B5qn1iJWVRt2SduLgmzaCNaRc6KR+pWH10gpTo7zOqqZJOxXZmKMiSBwIIi9O+rrcrr31Rivz4NZXB8RERBnGikqAZpBVsNyuc2HTmgVxp4PghQ+7kGBiBB9PkKjqvtqCkd4z3QFFbRvRK0ZdswttY7fMhnpFsRAr2TD7N3x8b06mgFFWjLyjAP+K1GGZSBLtSRySi9Y9t3gAKBQCAQCFpMdHQ0ixcvZu7cuaxevTqU0y9oGe0eMdARiVRVUNA+mH4ds7CqvmbB3krMfVWhkOswbApS5iGOCOlxSLb2X6HX17vxv1EYmjDJfWKx/zYDuZsQ1JrC9JmUP+MlsC08csCoMfF8EqAmPwABq6/9TAXnGBu2bu3/f24OUzfQv99vOQzsrbQaZQnlvCzU0X2QMyL3WmiUBdCWl6J9Vg41wc9ljIx6YSLqxUnIyfb2HaBAIBAIOjSROjc4WSIGBM3TkveAEAaaIFI//IKOg6kbmEXVYTULjD2WfWIjGton1kUYZLrapZCbGTDQlpUS+KDE8muXQL04CduYVJFr3QRh4kAMxAy3Ubs6gFljbbf1lnFea8fet+O+dqZfQy/YjbZ8B2ZpcOB2BeWCHqgX90ZOitxVdP3nGrRlpehrq6yoDUBKtaOOTEIdmiAcOQQCgUBwVETq3EAIA4KISiUQCDojkiIjZcYjZx5in1jisWoV7G3giFDTwD4xdACQ0pxh1olyVgJS7PG1T5RsMrbLUlAGB9ML1lahLS+z0gvGpqHkJERsXvnxQIqyrAwrnvES2G5Q87EVIqB0lYi7xo79LKXDpmOYHj/aZzvRVv4M7mBYvdOOOrwX6oXZSI7IXEU3dRP9+yqrfsCO2lC7fKoDdXQyyplO8R4WCAQCgUAgOAQhDAgEJwhJlqzJfpoz3D6xvDasZoGxpwKqfJhFbvQiN4TZJ8ZaEQVZ9Y4Ix8M+UU6yETWtG/rGYHpBkR///+1H/qzcSi/oHtPm54xU5GiJhBnRVL7kQy8xcFxqI3qw2mEnn0Z5LdryHehf7ApFsEjJsZblYE53JHtkfi2YNTra5+Voy8swS4M5HKqEcn48tlFJ4j0rEAgEAoFAcBgi8w5QIOgkSJKElBQLSbEoZx9in9ggqsDcW4lZWoN50PoxGtgnkhB9iCNCgmWp2AYr1Up/J9F/7o2WX0ZgSQnGjlq8c35GHZ6I7ZpUJIe4hIAlDiRO79ghekZhFdqy7ejf7AUjaMuX6UId1Rfl3K4dpihmSzEO+NHyS9G+qABfMF/AqaBelITtokSk+OMbZSPo2JimiddbSkXZNsrLt1FRvo2Kiu3omg+b3Yk9yoXdFofdHoc9Kg6bPfi3PQ673YXd3rDNiSyL95NAIBAIOifirl4g6IBI8dEo8dEop9d7oZoef1AsCNYs2FuJecANFV6MCi/G+uL6Azjs9U4IwQgDqUvr7BMlVcaW2wVlUDyBd4rRv65EW1mO9m0V9uvSUC4Q6QUdGf3nMrSl2zB+Kgq1yX27WAUF+6V22FSHw2GaJsbWYP2AH6pDVopS1yhso5ItRw17ZAodgtaj6z4qK3ZSUV4vApSXb8XnLW+zc6hqTFAocGG3O5sREOLCH0cFt9scSJJ4XwoEAoGgYyKEAYEgQpAcdpRTU1BOrfdmNX1asLhhA0eEwmrwHM4+MT4UYSClHb19opxoI2pKFvqFifjnF2Lu9+F/zUovsP02A6WnCNXuKJiGibGh2LIc3FFmNUogn5WBbXQf5J5J7TvAVmJqBvo3VQSWlWLu9oba5TOc2EYnI/dzRKTQIWgZpmlSW3OgweR/GxVlW6mq+gXTbKLAKxJxru4kJp5CQmJfEhP7YrM78furCfir8fur8furgo/dob8b/mgBDwCaVoum1VJbc6AVI5ew253NCwghgSFccKjro6ox4v0tEAgEguOGEAYEgghGilItX/kG3vJmQMfcXxVyRDD2VFj2iV4NY3spbC+tL3JoCxZJbFizIOPw9onKqQ6iH+iNtqKUwPslGDtr8T3yM+qwRGzXpiI5xWWlvTB1A/3bvZblYGG11ahIKIO6oY7qg5wW174DbCVmtYa2qpzAyjKo1KxGu4Sak4A6Mhk5o+3rbAg6BppWS2XFz6HJf50Y4PdXNdnfbneRmGQJAHUiQHxCL1T12IRLw9AIBDz4fVX4A3WCgtt6HBQPAoeICX5/VaifrnsBM7TN04oxSJIaFqXQMMXBHhV8bKuLUHA2EB0sgUFRIrOgqEAgEAhODOIOXiDoZEg2BalHInKPxFCbZZ/oxtgbrFmwpxJjbwX4dMxd5ei7yuvFAllCyogLq1lwqH2ipErYRndBPT8e/7vF6F9Woq0uR1tbhe2aVNQLE0V6wQnE9Gnoa36xLAfLg5X4o1XUX/VEvagXUkJkRnMY+70ElpWhf1kBgWBdhAQV9eIk6z0mRKhOg2maeDyFwVoAW0ORANVVuwnlijRAkhRc8T1Dk/+63zGxxyc9RpZVoqLiiYqKP3LnJtB1fxMRCu4GbQ2iFHzBtkD9Y9PUME0Nn68Cn6+iVWNQlKhG0QqWwOCkyboKUXGh+gs2uxNZFp83gUBw4pg4cSIVFRUsWrSoye1r1qxhzpw5FBQUUFtbS9++fZk0aRK33347imItcO3atYvs7Gy+//57BgwYELb/RRddxIABA5g7d26zYygrK2PGjBksWbIEWZYZO3YsTz/9NE6nM9Tnxx9/5LbbbuObb74hJSWFGTNmMHv27LDjvP322zzwwAPs2rWLvn378thjj3H55ZeHtpumyZ///Gf+/e9/U1FRwQUXXMALL7xA3759Q30efvhh8vLyWLduHXa7nYqKiqN7IVuAuMoLBCcBln2iCznTBYOttpB94t7KBq4IFZZ94r4q9H1V6F/WHQCk1KB9Yrf6CAMpwU7U5Cz0YYmWe8FeH4HXC9E/L8f2mwyU3rHt9ZRPCky3D23VTrRVP0NNsBJ/XBTqxb1Qf5V93O0tjwemaWJs8BBYVoqxwR1ql3tEo45KRjnPhaSKPO1IJhDwUFG+vb4YYPk2Ksq3Ewi4m+wfFZ0YlgaQkNiX+IRsFCVyIkUUxU5MTDIxMclH7nwIpmmia96wSISmIhTCBQZ3WMQCmOi6D73Wh7f2YKueg2pz1EcoHKmuQoO0iCi7C9UWK+orCASCNmPhwoXccMMNTJo0iRUrVpCQkMCyZcuYPXs2BQUFLFiwoE1E4t/97ncUFhaydOlSAoEAkyZNYurUqcyfPx+AqqoqLrnkEkaNGsW8efP46aefuPnmm0lISGDq1KmAJWD85je/4dFHH+XKK69k/vz5XHPNNXz33XecccYZADz++OP885//5NVXXyU7O5sHHniA3NxcNm7cSHS0Vdza//+3d+7xUZRn3//dM7O7OZ8I5MBBIwRELQehYgAFJRKL1WppOYgPVVKpvoDwWCoiioK2ctCXQ7GgiKBv4cGqlVataARRHk0poCh45KQcJEFINiHH3Zm53z9mdnZmdzbZhCSbJdf389nPzNynuWcmm53fdV/3dXs8+PWvf428vDysW7fuvK/NDsY5DzbFd3AqKyuRnJyMiooKJCUlRbo7BNFm+JdP9McsUI9XABV1tuVZpzjDUMC6JkM9xiG/4wZqtejw4rAUOMdmgCWSDbIlUc/WQN52CErxMcCrLzmYHg8pvxfEId0bnArSXuEeFcq/3fC+VwZ+ql5LZIA4IBFSficIuXE0vzrK4FzFuXMndOH/LcrLDsFdfhBVVSdsywuChOTkSyzTAFLSejdLTBN+OFe1aRCBUx70aRBer+aVEBhXwVdOlmvOuw+MCXA4EoINCPqqEA7TlAhfvsuYLpEAUWyZlXYIorlEqzaoq6vD0aNHkZOTYwjMaCGUx0B1dTUuuugijBgxAq+99pol74033sAtt9yCzZs3Y/z48eflMfDVV1/hsssuw+7duzF48GAAwNatWzFmzBicOHEC2dnZWL16NebNm4eSkhI4ndp0rQcffBBbtmzB119/DQAYP348qqur8eabbxptX3311RgwYADWrFkDzjmys7Px+9//HrNnzwYAVFRUICMjAxs2bMCECRMs/dqwYQNmzZoVtsdAU/4G6G2dIAgD6/KJWUY6r6yzxiw4ri+fqH/Ufaf8bSS5gMQY8LMClOIq1H5yFtKt2XCM7ETTC84T9WSFtuTg3pP+JQe7J8NxQy6EAdlReX+52wvv+2WQPywHqvQJLTECpOEpkK7vBKEzzYuOBurrK02j/3pAQPchKLK9UTE2tjNS0nweAL2RmpqLpOSLaDnAVoAxwRDkzUFVvfB4qvxxFUweC/UmrwRrXAV/DAZV9YBzVa9nHxuiMQRBCo6rYDlOCgjsaA3cKIr0d0UQgDYA5JUjc26HhBYx8L377rs4e/asIaLN3Hzzzejduzf+53/+B+PHjz+v8xQXFyMlJcUwCgBAfn4+BEHArl27cNttt6G4uBjXXnutYRQAgIKCAixevBjl5eVITU1FcXEx7r//fkvbBQUFhsHj6NGjKCkpQX5+vpGfnJyMIUOGoLi4OMgw0JqQYYAgiEZhSTEQLw9YPrHGvHyibjA4XQVU1gOoB/P9d1EB+bXvobwRC6FfZ4j90jUPg87NWz6xo8E5h3rorLbk4Jf+SOhCn86QRudC6J0elSNp6rFaeIvOQtldCSi6kaOTA9KoNEjDU8Fio8/roSOgqjLOVR6zTAMoLz+ImuoS2/Ki6EJyyiW6B4AvKGAvxMSk2pYn2h+C4EBMTGqzn5mi1Fs8FPxGhkpbDwW/gUEzNnCuQFVl1NWVoa6urFl9EKUYI16CFqhR914wgjWGmhaRBIcjHoJA/4+ICwOvDKx47vy9gJrDzKlxcLaAje7bb78FAPTt29c2/9JLLzXKnA8lJSXo0qWLJU2SJKSlpaGkpMQok5OTYymTkZFh5KWmpqKkpMRIM5cxt2GuZ1emrSDDAEEQzYLFOSH27gyxd8DyiScrLTEL+A/nwKAC3mqoe6uh7v1OKxwjQegasHxiZvjLJ17ocJVD3X8K3qJD4N/p67AzQByYDSk/F0KPlIj2rzlwlUP57Bzk985C/db/YiL0itPiBwxMJGNRO6KurtzqAVB+EBXuI1CUetvycfGZfg+ANG06QGJidwpa18ERRRdiY12IjU1vcl3OOWS51hpXod4fmNEbYHCweiycM+JWKHIdauU61Nb+2MgZ7bGdBhFyWoR/SoTTmQhJomlQBNEaNDQb3jyCHw733HMP/vrXvxrHVVX2MW8udOjXmiCIFoO5JIiXpAGXpBlp3KtAPeyG983jUA+XA6weEDxgdTLUw2eBwwHLJ2YnQeiWoi+fmAyWnRSVc+abC/cq/iUHS/UfJkmAeHUPSKN6Quic0HAD7RBep0D+yA15Wxn4jx4tUQTEQcmaQSAnOldNuFBQFC8qK7/zGwHKtFUBakMEqROlGKSk9DKWBfQFBGyuqzpBhIIxBocjDg5HHOLjM5tcX1UVeL3VQR4KwUtLWr0UfMtS+qbCeL1V8HqrUF19qpEz2l2DaARiDFr5ISiQo3+pSZ+xIZqCbBLtH4ekjdxH6twtgS9S/1dffYWhQ4cG5X/11VdGPAFfPIiKioqgcm63G8nJ2kozCxcuDJqakJmZidOnT1vSZFlGWVkZMjMzjTKlpaWWMr7jxsqY831pWVlZljKBcRFaGzIMEATRqjCHCPHSThAv7QTlaA28G09B/b4WnHnA0lQIvQSgqgbqiQqgTgb/3g3le3fw8ok+rwJfsEPXhfXvi9d6IX/0PeT3D/uDPcZKkK7J0ZYcTIquoEEAoJ71QN5eBnlnuRGQEnEipBGpkEamQUijeb9tCeccdXVn9SUB/csCVlYcharaTzpNSOxmCH+fESAhsRtFmCeiAkEQ4XIlweVKAtC1yfUVxQuvt8ofqLHRuArWFSJUVQbnynktMykITt1IYPJQMKZA2MdVMBseKG4HYYYx1iLu/JGkoKAAaWlpePrpp4MMA//85z9x8OBBI6BgWloa0tPTsXfvXowYMcIoV1lZiUOHDqF3794AgC5dugRNG8jLy4Pb7cbevXsxaNAgAMD27duhqiqGDBlilJk3bx68Xi8cDu3GFhUVoU+fPkhNTTXKbNu2DbNmzTLaLioqQl5eHgAgJycHmZmZ2LZtm2EIqKysxK5du3Dvvfe2wB0LnwvrzZogiHaNmBMH4aFLoPxvOTyvnwY/q0A5C4hXdYHzoS5gikePWeCbilABVHv8yyfuOq415Fs+sVsyWHfdu6BbMlh89AWq45V1kHccgbzzKFCri7PkGEjX9YQ07CKw2Oj6BeecQz1cC/m9s1A+qTSWoGeZTkijOkHKSwFzkahsbRSlHhXuo4b4900HqK8rty3vcCQgJbWXxQMgJbUXHI74Nu45QbQfRNEBUWxefAXOORSlzhRTISCuQr1uQPD6V4kwB3j0eqvAuQpV9aCu7izq6s426xokKdYUqDEBgYEZg4wJpmkQDkc8GQGJiFJRUYF9+/ZZ0jp16oRnn30WEyZMwNSpUzF9+nQkJSVh27Zt+MMf/oC7774bY8aMMcrff//9+NOf/oSMjAxcffXVOHv2LB5//HF07twZv/zlL0Oeu2/fvrjxxhtx9913Y82aNfB6vZg+fTomTJiA7OxsAMDtt9+OBQsWoLCwEHPmzMGBAwewYsUKLFu2zGhn5syZGDFiBJ5++mncdNNN2Lx5M/bs2YPnnnsOgGasmTVrFp544gnk5uYayxVmZ2fj1ltvNdo5duwYysrKcOzYMSiKYtyXXr16ISGhZbxJablCG6J1SRKCiCZ4lQzvltNaNHoOwCXAcUtnSNd3ApO0+Zicc3B3ncVQoJ5wA+4Glk/slqxPQ9AMBu11pF39sVpbcvDfxwBZG01nGQnakoODu0Xd9AkucyifVGrxA47WGulC33g4bugE4fIEih/QCnDOUVtzGuXl32pxAMo0I0Bl5ffgXAkqz5iAxMQeAUsC5iI+PovmQRNEO4JzFbK3JsQykg0FbtSXmfRWt0AvWIBXQmLAtAffcUKQx4LTmQRRunCWmYxWbRDtyxW++OKLQemFhYV4/vnnsXPnTvzxj39EcXExKiu1FU8WL16MBx54wFJeURT85S9/wdq1a3H48GGkpaVh2LBhWLRoES6++OIG+1BWVobp06fjjTfegCAIGDt2LFauXGkR4p9//jmmTZuG3bt3Iz09HTNmzMCcOXMs7bzyyit4+OGH8d133yE3NxdLliyxGC8453j00Ufx3HPPwe12Y/jw4fjLX/5ieDQ0dD/ef/99jBw5MuQ1NOVvgAwDNkTrl58gohH1+1p4Np4yxCTLcsF5exbES0OPVPLKOmNFBPWE5mHAz4SIspvkMowEQnfNw4ClxkbsZUU97oZcdBDKpz/4R9MvTtWWHPxJZtSJZ16tQP6wDPL7ZeDluseDxCAOSYYjvxOEbtH1ItKekeVauMsPBwUEDLUEnNOZZMQB8K0KkJySA0mimA4EcaGjqrI/ZoLXFLgxVFwFc4BHTxUUxd4A3xQYkzQvBSMwoy92gp2BwR+DwVdOFNuPF2C0aoNoNgw0hbq6OvziF7/A8ePH8cEHH6Bz586NV+ogkGHgPInWLz9BRCtc5VCK3fC8WmqsZS8OToLj15lhz0PnNV7dWOAG921LqwzxbSHOYXgV+DwMWOfWG9HmnEP99gzkdw9C/cYfFVu4rAukG3Ih9OoUdaMqakk95G1nIX/sBjz6TU4U4bguDdKINLAkmqnWXDjnqK76IWhJwHOVx2D3B82YiKTkiy1LAqam5iI2rnPU/V0RBNE+0JaZDFxa0iauQr3Ja8HrWyWiCpzbxy1pCtpypz3xs5//tfHCrUy0aoOOYhgAtGtdvnw5cnNzMXbs2Eh3p93QlL8BenMjCCLiMIFBGpYKcUASvP84DXlHGZQ9lVD2V8FxUzqkGzqBSQ3Pc2RxDoi90yH29i+JZVk+Ufcw4KcqgRov1G/OQP3GFHXdJfpjFviMBZmJ57V8Ilc51H0/wFt0EPy4HhFXYBAHdYWU3wtC1+Rmtx0JOOdQv66G972zUPf7jS6smwuO/E4Qr0oGc9B81Kbg9VbDXX4oyAgQyg3YFZOK1NTemgFAXxIwOTmnXY2sEQQR/fiXmezU5LqccyhyXXBcBYuHQkOBG6sAcChKPVTV2/IXR1yQxMTE4MEHH4x0N6IaMgwQBNFuYPEinLdnQRqeAs//lEA9VAPv309D/tgN58QsiJc1LbhKqOUTeck5PWaBFruAn6wE6hWoh8uAw2X+FREkAaxrkrEiQrjLJ3KvAmXXccjbDoH/qAs8hwgxrwekUb0gdIrMUkHNhXtVKP+pgPe9s+An/GvYC/0StOkCl8bTyHQjqKqCqqqTuvj/FuVlh+Au/xZVVSdtywuChOTkS5CS1tuyKkBzXtIJgiDaEsYYJEcsJEcs4uK7NF4hAM5VeL3V8HjOhVwxhSCIlocMAwRBtDuEHrFwPXAxlOIKeF4rBS/xoH7Z9xCvTIJjXAaETs0fHWUOUV/JIAXARQAArqjgp6uMAIc+DwPr8onf651jYJmJlpgFQtcksBgHeI0X8s6jkHccAc7pAjrOAWnEJZCuzQFLjK71qHmlDHlHGbw7yoBzurnEqXl3SNenQciMrutpK+rrK4PiALjdh4w10QOJje0cEAsgF0nJF9EyYwRBdEgYE4wghgRBtB1kGCAIol3CGIM0NAXigER43zgNeXsZlE8qoRw4B8eYzpBGd2oxt3UmCmBZSRCykoCrugPQpgHwszWmFRF0Y0GVB/yHSig/BCyf2DkevLIeqNNGN1hqLKTre0IcehGYK7r+1aon6uB97yyUXRWArM0XYKkSpOs7QbomFSw+ulZMaC1UVca5ymO6+NdXBSg/hJrqEtvyvvmyZg+AlNRezVoKjSAIgiAIoiWJrrdVgiA6HCxOhHN8FqRhqfD8zymo39Zoyxx+7IZzQibEn7TOiAITGFjneKBzPMQruwLQ5k3CXWdMQTBWRHDXgZ/WpgywrERIN+RCHNT1vOITtDVc5VC/qIK36CzUr/zz24WcWEj5nSBemWQsI9kRqasr1zwAyr41vAHc7iNQVY9t+fj4LL8HgB4LIDGxBwSBjCoEQRAEQbQ/yDBAEERUIHSLgWv2xdpc91dKwU97UL/yGMQBiXCMy4TQufWDrzHGgNRYiKmxEPtlGen8XD3U4xWAJGgrDETRkoO8XoVc7Ia87Sx4iS5yGSBemQTphk4Qe0ZXPITzRVG8qKz8Du6yby0BAWtrz9iWl6RYpKT2skwDSEnNJRdYgiAIgiCiCjIMEAQRNTDGIA1JgdgvEd43f4S87SyUfeegfFEFx43pkG5MB3O2/Sg9S3RBvKzpAZYiiVruhfx+GeQPyoEaPX5ArADpGj1+wHnEcYgGOOeoqz1jiH/ftrLiaMhgVwmJ3Qzh71sWMCGxKxiLHs8QgiAIgiAIO8gwQBBE1MFiRTh/nQlpmL56wdfV8L7xI+RiNxwTsiD1p9HaUCjf1UIuOgtlbwV8yy+wzg5IozpBGpYCFnPhuborSj0q3EeClgSsryu3Le9wJBheAKn6qgDJKb3gcHQs7wmCIAiCIDoOZBggCCJqEbJj4Lr/Iih7KuH9Wwn4GS88q45B/kkCnBOyIHS5sEe9w4WrHMqn5yC/dxbqoRojXegdp00X6JcYVdMfQsE5R01Nqd8DoEz3Aqj8HpwrQeUZE5CY2MMSByAlNRfx8Vm0/CJBEARBEB0K8n8kCCKqYYxB+mkyYh7vBenGdEBkUPdXoe7RQ/D84zR4vRrpLkYMXqvAW3QGdQ8dhGfNcc0oIDKIVycj5uFLEPOHHEgDkqLSKCB7a3HmxwM49O3r2LNrCYq23o1XN1+HLa+OwY5tM/HZJ6vw/XfvoKLiCDhX4HQlIyNzMPr0nYirh87HjTf9FeNu34mbb/s7rhm5GFf0+y26dR+BhIRsMgoQBEEQRIS4+eabceONN9rm7dy5E4wxfP7550ba2bNn0a1bNzDG4Ha7LeU9Hg+WLFmC/v37Iy4uDunp6Rg2bBjWr18Pr9cbsg+cc8yfPx9ZWVmIjY1Ffn4+Dh48aClTVlaGSZMmISkpCSkpKSgsLERVVZWlzOeff45rrrkGMTEx6N69O5YsWRJ0rldeeQWXXnopYmJi8JOf/AT/+te/LPl///vfMXr0aHTq1AmMMezbty9kv88X8hggCOKCgMWIcI7N0KcXnIL6ZTXkN3+EUuyGY1wmxIGJHUbwqT96IG87C/kjN1CnG0YSREjXpkK6Lg1CiiOi/WsKnKuorjoVMA3gW5yrPA6AB5VnTEJS8sWWJQFTU3MRG9e5wzx/giAIgohWCgsLMXbsWJw4cQLdunWz5K1fvx6DBw9Gv379LOX79euHkydPWsp6PB4UFBTgs88+w+OPP45hw4YhKSkJ//73v/HUU09h4MCBGDBggG0flixZgpUrV+LFF19ETk4OHnnkERQUFODLL79ETEwMAGDSpEk4deoUioqK4PV6cdddd2Hq1KnYtGkTAKCyshKjR49Gfn4+1qxZg/3792PKlClISUnB1KlTAQAff/wxJk6ciCeffBI///nPsWnTJtx666345JNPcMUVVwAAqqurMXz4cIwbNw533313i9zjUDDOefCbVQensrISycnJqKioQFJSUqS7QxBEE+Fcc533vlwCXqZZhIXLE+CckAkh0xXh3rUOnHOoB2sgv6cFZPRpZpblgiM/DeLVKREJzNgUvJ4quN2H9WkA+qoA7kOQvdW25WNiOvlXAtCnAiQn50AUaQoJQRAE0XJEqzaoq6vD0aNHkZOTYwja9o4sy+jWrRumT5+Ohx9+2EivqqpCVlYWli5dinvuuQcAsHr1arz88suYP38+Ro0ahfLycqSkpADQxP3cuXOxZ88eDBw40HIOr9cLj8eD+Pj4oPNzzpGdnY3f//73mD17NgCgoqICGRkZ2LBhAyZMmICvvvoKl112GXbv3o3BgwcDALZu3YoxY8bgxIkTyM7OxurVqzFv3jyUlJTA6dTeSx588EFs2bIFX3/9NQBg/PjxqK6uxptvvmmc/+qrr8aAAQOwZs0aS7++++475OTk4NNPPw1p0LCjKX8D5DFAEMQFB2MM0pVJEC9PgPdfP0J+9yzUL6pQ99hhSKM7wXFTZzBX+xbJ4cJlFcqeSi1+wPd1RrpweQIc+Z0gXB7f7kbKVVVBVdXJoCUBq6pO2pYXBAeSUy6xLAeYkpqL2NhObdxzgiAIgoheOOdQQ3vQtyqCA2G9j0iShMmTJ2PDhg2YN2+eUeeVV16BoiiYOHEiAODLL7/EwoULsWvXLhw5ciSonY0bNyI/Pz/IKAAADocDDoe99+TRo0dRUlKC/Px8Iy05ORlDhgxBcXExJkyYgOLiYqSkpBhGAQDIz8+HIAjYtWsXbrvtNhQXF+Paa681jAIAUFBQgMWLF6O8vBypqakoLi7G/fffbzl/QUEBtmzZ0uh9ag3IMEAQxAULcwlw3pYBaWgKPJtLoB6ogvz2GSi7KuAYlwHxyqR2J5rDhVfJkD8oh7yjDNytL6/nYBCvToEjPw1CdvsYGaivr7SsBODWvQAUuc62fGxcl4BpAL2RlNwDghA90x8IgiAIoj2ieoH3l9Q0XrAVuO6BOITr0DdlyhQsXboUH3zwAUaOHAlAm0YwduxYJCcno76+HhMnTsTSpUvRo0cPW8PAwYMHjbpNoaSkBACQkZFhSc/IyDDySkpK0KWLdZlqSZKQlpZmKZOTkxPUhi8vNTUVJSUlDZ6nrSHDAEEQFzxChguu+3pA+ewcvJtLwM964VlzAkLfeDgnZkHIip7pBeqpesjvnYX8bzfg0eYLsGQJ0nVpkK5NBUuMzL91VZVxrvKYLv59ngCHUFNt/+Mmii4kp/Q0jACpab2RktILrpiUtu04QRAEQRDtiksvvRRDhw7FCy+8gJEjR+LQoUPYuXMnFi5cCACYO3cu+vbtizvuuCNkG+HMlt+4cSN+97vfGcdvv/02RPHCW7Y5XMgwQBBEh4AxBmlAEsTLEuDdegby22egflWNugWHIOV3guPnncFi2uePAecc6lfV8BadhXrAH/GW9YiBI78TxJ8mgUltNzWirq5cE/9l/mkAbvcRqKrHtnx8fJbfAyCtN1JTc5GQ2B2C0D7vN0EQBEFciAgObeQ+UuduCoWFhZgxYwaeeeYZrF+/Hj179sSIESMAANu3b8f+/fvx6quvAvAbAdLT0zFv3jwsWLAAvXv3Nubyh+KWW27BkCFDjOOuXbvi1KlTAIDS0lJkZWUZeaWlpcbc/szMTJw+fdrSlizLKCsrQ2ZmplGmtLTUUsZ33FgZX35bQ4YBgiA6FMwpwHlLF0h5KfC+XALls3OQ3zmrTS/4VSbEq9rP9ALuUaHsqoD3vbPgP9RriQwQ+ydCuqEThNy4Vu2ronhRWXHUOg2g/CBqa8/YlpekWKSk9kJKam/TdIBecDoTW62PBEEQBEGEB2MsbHf+SDNu3DjMnDkTmzZtwksvvYR7773XeOd57bXXUFtba5TdvXs3pkyZgp07d6Jnz54AgNtvvx0PPfQQPv3005DBBxMTE5GYaH1HycnJQWZmJrZt22YYAiorK7Fr1y7ce++9AIC8vDy43W7s3bsXgwYNAqAZK1RVNQwNeXl5mDdvHrxerxHPoKioCH369EFqaqpRZtu2bZg1a5Zx/qKiIuTl5bXELWwyZBggCKJDInR2wjW9B5TPz8GzuQT8Rw88z5+AsDNOm17QNXJz9HmFF94dWvwAVClaokuANDwF0vWdIHRp2V91zjnqas8Y4t83HaDC/R04l23rJCR2Q2pqb0tAwITErmDswgjqSBAEQRBE5EhISMD48eMxd+5cVFZW4s477zTyfOLfx5kz2oBF3759jVUJZs2ahbfeegujRo3C448/juHDhyMxMRF79uzB4sWLsW7dOtvo/owxzJo1C0888QRyc3ON5Qqzs7Nx6623Gue58cYbcffdd2PNmjXwer2YPn06JkyYgOzsbACaYWLBggUoLCzEnDlzcODAAaxYsQLLli0zzjVz5kyMGDECTz/9NG666SZs3rwZe/bswXPPPWeUKSsrw7Fjx/DDDz8AAL755hsAmrdBS3sWtAvDwDPPPIOlS5eipKQE/fv3x5///GdcddVVtmXXrl2Ll156CQcOHAAADBo0CH/6058s5e+88068+OKLlnoFBQXYunVr610EQRBRidgvETF94yG/cxbet3+E+k0N6hYehnR9Jzhu6QwW23bu7urxOniLzkLZXQHIevyANAekUWmQhqeCxZ1/XxSlHhXuI34jQNm3cJcfRH2927a8w5FgWRIwNTUXySm94HBExhWRIAiCIIiOQWFhIdatW4cxY8YYgjtcXC4XioqKsGzZMjz77LOYPXs24uLi0LdvX9x333244oorQtZ94IEHUF1djalTp8LtdmP48OHYunWrZbm/jRs3Yvr06Rg1ahQEQcDYsWOxcuVKIz85ORnvvvsupk2bhkGDBiE9PR3z58/H1KlTjTJDhw7Fpk2b8PDDD+Ohhx5Cbm4utmzZYunbP//5T9x1113G8YQJEwAAjz76KB577LEm3ZPGYDycyAytyMsvv4zJkydjzZo1GDJkCJYvX45XXnkF33zzTVC0RwCYNGkShg0bhqFDhyImJgaLFy/G66+/ji+++AJdu3YFoBkGSktLsX79eqOey+Uy3DYaoz2tVfrRznmocB+BKDohii4IohOi4NKPtTRRdEIQXZZjS/lGy+rpgrPduFATRCRQz3q06QWfntMSkiU4f5UBcUhyq303uMqhfH4O8ntlUL+pNtKFnrGQbugEcUASmNj0c3POUVNTahH/5eUHca7yGDhXgsozJiAxqUfQkoDx8Vn0f4EgCILo0LQnbdAUmrKGPXFh0pS/gYgbBoYMGYKf/vSnWLVqFQBAVVV0794dM2bMwIMPPthofUVRkJqailWrVmHy5MkANMOA2+1u9hqQ7enL//Ybt6OsrOHAGS2JIJiNCo4g44HV4BCcJ4guiIIvzRHSCBHchmaYoGBkRHtAOVAFz/+cAj+tBdMTesXBeXsWhO4t96PK6xTIH7shbyszzgMBEAclaQaBnPBH5GVvLdzuw6bVALSPx3POtrzTlexfDSA1FylpvZGcfAkkiV4aCIIgCCKQ9qQNmgIZBoim/A1EdCqBx+PB3r17MXfuXCNNEATk5+ejuLg4rDZqamrg9XqRlpZmSd+xYwe6dOmC1NRUXH/99XjiiSfQqVMn2zbq6+tRX19vHFdWVjbjalqHq/Lmob6+AorigaLUQ9W32rF/X1UDjo0y1rJ29QG/bUhVtba83qrQnWpFBEHSjQsOGw+Hhg0LljzB0UDZ0EYOQWgXs2uICCNekYCYx3pCfu8svG/+CPVQDeoePwzpujQ4ftHlvFz61TIv5O1nIe8sB2pULTFOgHRtGqTr0iCkhQ7by7mK6qpTKC//1hIQ8FzlcZi/xz4Yk5CUfLFpScBcpKT2RmxsOnkBEARBEARBEAYRVUFnzpyBoijIyMiwpGdkZDS6vISPOXPmIDs7G/n5+UbajTfeiF/+8pfIycnB4cOH8dBDD+FnP/sZiouLbdemfPLJJ7FgwYLzu5hWolP65a3aPuccnMtBhoZgI0JgutXAYJRVGytbby2veCxuzaoqQ1Vl2Ic7a30YE/2eEoKNN4TdFIwgg4WNp4VgXzZwiocgSCTY2gnMIcDxs84Qh6TA+7cSKHsrIW8vg7y7As6xGRDzUsCE8J+VcrgG8razUPZWAro9gHVxQsrvBGloCpjLGrTP66lCufsQ3GWmgIDuQ5C91TatAzExnQJiAfRGUvLFEKMl/DBBEARBEAQRMaJ6eHTRokXYvHkzduzYYXGN8AVlAICf/OQn6NevH3r27IkdO3Zg1KhRQe3MnTsX999/v3FcWVmJ7t27t27n2wmMMTDmgCA44HDER6QPqipDVbzBRgg10PshlNGhYW8KI0+18bRQPFBVr9EXzhUosgJFrovIvQAQnqdEyDgTdp4W4cSk8HlZOCmqfABCmgOue7pD+VKfXlDigWfDDxB2lmvTC3rEhqzLFQ7lk0rI752FesS/rI5waTwc+Z0g/CQBHCrOnTsO9ynrkoBVVSft+yM4kJxyiW4E6G0sCRgba+8RRRAEQRAEQRCNEVHDQHp6OkRRRGlpqSW9tLS00eUXnnrqKSxatAjvvfce+vXr12DZSy65BOnp6Th06JCtYcDlcsHlcjX9AogWQRAkCIIEyRFaYLUmnKsmz4dgD4lQeYHTN+y8IRrynjDXN6Pl1wOwnx/e2giWaRzhTcEQhdBlw4ozoZ9TENtvnAnxsgTEPNoT8rYyeN/4EerhWtQ9cQTSiFQ4bu0CFu//d8prFMg7yyFvLwMv0w1PEgMbFIuqQeUoi9mvGQHe1rwAQhmiYuO6BC0JmJTcA4IQeroBQRAEQbQ1mgeqApWrpq0Klcv61pSuyqZ8xbQNqK8qkKQYdEvvH+nLI4gOQUQNA06nE4MGDcK2bduMdSFVVcW2bdswffr0kPWWLFmCP/7xj3jnnXcwePDgRs9z4sQJnD17FllZWS3VdeICgjEBkhQTscBrnHOoqrdBI4LtFA+9Tsi4Ew3GmfD4p33IgXEmvFBVL7ze0H1uTRiTGvBwsDMsOI1pHw3GnQhpuLAeMxZ6OgeTBDgK0iFelQzvq6VQ/lMBeUc55D2VcP4yA0JunDbd4ONyoF67p3KMByU9P8fB9DfhVg4Dnwe3K4oxSEnpiZQ0U0DAlF5wxaS04p0mCIIgfLSWsLXmh1POl95IPTVUORWc2/RPtbkOu/qqEnD9Nv21qce52irPpVNSDu7+2Wut0jZBEFYiPpXg/vvvx29+8xsMHjwYV111FZYvX47q6mpjvcbJkyeja9euePLJJwEAixcvxvz587Fp0yZcfPHFKCkpAQAkJCQgISEBVVVVWLBgAcaOHYvMzEwcPnwYDzzwAHr16oWCgoKIXSdBhIIxZojSSNC8OBPeEAaHxuNM2MWo4Fw29UeGLMuQ5ZqI3A/GBJMnQwPeD72cSEruhu67r0KsOxmel36wtFMRdxyHs7fieJdiqIIX0ENpxCdkW5YDTE3NRUJi93brKUEQRHRAwrZ9CltCgzERAhMgMBGMidpvrW8riMa+L913nJLQLdJdJ4gOQ8QNA+PHj8ePP/6I+fPno6SkBAMGDMDWrVuNgITHjh2DIPjnPK9evRoejwe/+tWvLO08+uijeOyxxyCKIj7//HO8+OKLcLvdyM7OxujRo/H444/TdAGCsCH64kw0FneioTgTNp4TSn1AnAkVilwXdpyJLy/biEtO3YC+x34JhxKLktR9ONR1K8o7HUVKWi9cknqLyRDQC05nYmvdRoKICNqqx1wXVxwcasA+10UXD5Hv3wfn4Oa2uGppg4PrZezP4dsP7k9gWzYCOlzh6ROaJGw7FM0Vtr56zJcmmOoxAQKTAsr50wRTuiDYnFfvS+hypvMG1NPK2fSPNdI/QUvz9dV/XyTL9QfeF4Ig2j+Ma7+ghIloXauUIIjmEXaciQaWBeXVKpw8DgndeyAlrTcSErIvqJehUCLNLEgayrcKOpu2bIVhcBsWgRki3yIMzfkmQWnpSwhRi7DyQ5Xx9TXwfjQt37gn5vsVcC4j33y9pnuEEPcoWETb5ZuebQP5RPunUQEo2Ag7G+HJBNFSz9+eWdja1DOJUWt9KaCcvy9B9W0Eue15SNgSLUy0aoOmrGFPXJg05W8g4h4DBEEQrYlvdFBRvVBUGYrqhapvfR81RJ7KZSiK11RW1tIs9bxQuAw1xgtVLQM/fRy8dKetiDov0Wsr5BoeOQVHC4ysan0iiJaD6QKMgUEw7TNdgIXKF/T4H+eZz1hUCdug/gmNjEiHGBkmCIIgiIYgwwBBEE2Cc66LYzlAUJuFtmwR4vZiXLava4jxAIEeIOID2wvdpgwStm0PY4IhxPxij1nSrPuaYGso39JOiHyfAPLtMxuRCJMINdczl4Wv7QbzBTDzuQL6j6D+WYUqgq4VQUIWgddqvh7bc5jOpdeDzT1iAc8IgffT5h7B9n4FXrP9/Qp8fgRBEGa4qgD1tUB9Dbi+RV0NIEoQetKqBB2Jm2++GV6vF1u3bg3K27lzJ6699lp89tlnxqp0Z8+eRf/+/XHy5EmUl5cjJSXFKO/xeLB8+XJs3LgRBw8eRFxcHPr06YPf/va3uOOOO+Bw2K/yxDnHo48+irVr18LtdmPYsGFYvXo1cnNzjTJlZWWYMWMG3njjDQiCgLFjx2LFihVISEgwynz++eeYNm0adu/ejc6dO2PGjBl44IEHjPy1a9fipZdewoEDBwAAgwYNwp/+9CdcddVVAACv14uHH34Y//rXv3DkyBEkJycjPz8fixYtQnZ2dvNvcgjIMEAQEUZblUAOEsB2Yjd4dNs0kh1SKPvyvTb7plFwxWs9Bw9u03cc7QiCpC2RKDggMP++KEjaco16vhAi3ahrHGv55jmmgQIqWPQGCyiL6A0latGw6LWMmIYUaT6xaD+iahGUzRydJQiCIC5suOwNEPPVQH0tuC7qDYFfX6OlGWVN+3X6vtc+rg/LuBjO+9e28ZURkaSwsBBjx47FiRMn0K2bNfjk+vXrMXjwYMtS9YWFhejXrx9OnjxpKevxeFBQUIDPPvsMjz/+OIYNG4akpCT8+9//xlNPPYWBAwdiwIABtn1YsmQJVq5ciRdffBE5OTl45JFHUFBQgC+//NJwx580aRJOnTqFoqIieL1e3HXXXZg6dSo2bdoEQJt+Mnr0aOTn52PNmjXYv38/pkyZgpSUFEydOhUAsGPHDkycOBFDhw5FTEwMFi9ejNGjR+OLL75A165dUVNTg08++QSPPPII+vfvj/LycsycORO33HIL9uzZ01K33IBiDNgQrfOICA3OVXu3cENQBwpjsyDXBLJPGNuPhNuL5UbFt537ui6+o51goezftwhvURfRzFwutPgWbIV4oGgPLCeFqOuAyCTdxZeEK0EQBNGx4JwDskcX67W6KLcR9fW1urD3CfhqQ+SbRT3k8AcKtKgsMZBZPGQWB5nFQ0G8fqx9FN++mARZTITCEuCKqceA+we23k0Jk2jVBtEYY0CWZXTr1g3Tp0/Hww8/bKRXVVUhKysLS5cuxT333ANAC0r/8ssvY/78+Rg1apTFY2DJkiWYO3cu9uzZg4EDrX9DXq8XHo8H8fHBQbc558jOzsbvf/97zJ49GwBQUVGBjIwMbNiwARMmTMBXX32Fyy67DLt378bgwYMBAFu3bsWYMWNw4sQJZGdnY/Xq1Zg3bx5KSkrgdGorjz344IPYsmULvv76a9trVxQFqampWLVqFSZPnmxbZvfu3bjqqqvw/fffo0ePHo3eT4oxQLQomtAOT+yGEsrB5WSo3C/ErUK5mS7oPtHPLwSh7TQJ5YbErhRQLnAUXNLFuD/NKsSt7QWOgvvLhxLjkh6wiYQ2QRAEQbQ0nHPAU2cS5TWWUXm/mDeJfLOo95hG5etrAFVpXj/AoCBOF/FpkFk3KFI8ZOhCXkqGIiVDFhKhCLrA57HaR3VCVpwAmhDrQguBA9lF7xctifb3FKGTOxHW+6IkSZg8eTI2bNiAefPmGXVeeeUVKIqCiRMnAgC+/PJLLFy4ELt27cKRI0eC2tm4cSPy8/ODjAIA4HA4Qk4jOHr0KEpKSpCfn2+kJScnY8iQISguLsaECRNQXFyMlJQUwygAAPn5+RAEAbt27cJtt92G4uJiXHvttYZRAAAKCgqwePFilJeXIzU1NejcNTU18Hq9SEtLC3l/KioqwBizTJloKcgw0M754ewB1HkqzkMoNzBXWwkOpmbXJufN+xFpP7AA8duQu3jDQjl4dNt0HDAy7huhDjWSHmokXFtmiH4ICYIgCCIa0ebL24n56iAXelsX+zr/CD08tUALOPeqEPVReV3cO1KhOFMhSylQxCTIYpIu6BMgwyfoXZAVJ2TFAUUWATTybqLqnwZgAiDFAJKLwRHDILkAKYZpH9O+Q993xNH7UIviAU7fVxORU3dZGQeEuXL8lClTsHTpUnzwwQcYOXIkAG0awdixY5GcnIz6+npMnDgRS5cuRY8ePWwNAwcPHjTqNoWSkhIAQEZGhiU9IyPDyCspKUGXLl0s+ZIkIS0tzVImJycnqA1fnp1hYM6cOcjOzrYYJczU1dVhzpw5mDhxYqt4rpBhoJ3z7t5FKCn/MtLdsMCYaDuCHTxXu7XcxW3OKZrKssBzi5G+ZQRBEARBtGO4IhsB7+zmxhsj9B7zaH1gWW20PtR8+Wb3DYDKXFBc6ZCdaYagl6VkKEIiZCEBspAAxSfoeYwh6GVZguwVocohRutl/RMmggRDxDsaEPSSixkGACmGwRGjpQtSeKPGRMfm0ksvxdChQ/HCCy9g5MiROHToEHbu3ImFCxcCAObOnYu+ffvijjvuCNlGOLPlN27ciN/97nfG8dtvvw1RjIxuWLRoETZv3owdO3bYuvx7vV6MGzcOnHOsXr26VfpAhoF2Tqeki8Ghhh5pZnYiOhwXdF+eFEJ829cVmERCmyAIgiCIiKLNl/cGzY33zZsPNULvd633iXp9fn0T5suHjSACMXHgzjiorhTIjjQoDl3Qi0mQhUT//HrEQFZjtFF62QlZ0QS97BEgexgM500OoF7/NAPRCb9QdwUIe98ovjkvRjcAuLRygkSiPqpx6iP3ETp3UygsLMSMGTPwzDPPYP369ejZsydGjBgBANi+fTv279+PV199FYDfCJCeno558+ZhwYIF6N27d8i5/D5uueUWDBkyxDju2rUrTp06BQAoLS1FVlaWkVdaWmoEK8zMzMTp06ctbcmyjLKyMmRmZhplSktLLWV8x74yPp566iksWrQI7733niWwog+fUeD777/H9u3bWy3OBRkG2jk3X/1EpLtAEARBEARx3nDOtdH0UBHrQwa800fiPab985gv3yCSE3DFAa5YsJg4bd8ZB9mRorvdJ0IWkvQR+jir273qgCI74DUJermOQ64H0BLe2wz2I/WuAAEfE5BuMgAwgYR9R4YxFrY7f6QZN24cZs6ciU2bNuGll17Cvffea3ibvPbaa6itrTXK7t69G1OmTMHOnTvRs2dPAMDtt9+Ohx56CJ9++mnI4IOJiYlITEy05OXk5CAzMxPbtm0zDAGVlZXYtWsX7r33XgBAXl4e3G439u7di0GDBgHQjBWqqhqGhry8PMybNw9er9eIZ1BUVIQ+ffpYphEsWbIEf/zjH/HOO+9YYhaY+zpu3DgcPHgQ77//Pjp16tTse9oYtCqBDdEaeZQgCIIgCKIlCT1f3kbAm4LcBS9JV6MF0eONTEJvDs4YwBUHpgt6uOL8ot4VC+5IgCxpI/QKS9BH6GPh1d3uFcWpudzLEuR6Brmew1vHIdcBcj2H0kLB2pgAOGIbGakPIeilGAYxzOBt7QlZVVEte1Ht9aLK69X3PUZataynm/dNeVlx8fjz8FGRvoyo1QbRuCqBmd/+9rf4+9//jsrKShw7dgzZ2dm25Xbs2IHrrrvOsipBfX09brjhBhw4cACPP/44hg8fjsTEROzZsweLFy/GunXrQi5XuHjxYixatMiyXOHnn39uWa7wZz/7GUpLS7FmzRpjucLBgwcbyxVWVFSgT58+GD16NObMmYMDBw5gypQpWLZsmbFc4eLFizF//nxs2rQJw4YNM86fkJCAhIQEeL1e/OpXv8Inn3yCN9980xL3IC0tzRLYMBS0KsEFhPLRFvCKHwFR0lzSRFGb4CWIYKKkH4t6vqmMKIEZ5fU6ok2+ENCGqTwTmhA9liAIgiCIdoExX97iWl9ju+ScbcA7c6R7T8vOlwcAMAY4Y4GYeDBdyGvCPtZmtD4WqqTNo1f0pe68agwUHgNZcWku97qYl3Ux763nkGs45HJAruMIf1Xgho0WggPWgHl2I/VmF3zTvuSKrvn1sqqixkaom0W8JvBlU54nSODXK+fn1UHjlx2bwsJCrFu3DmPGjAlpFAiFy+VCUVERli1bhmeffRazZ89GXFwc+vbti/vuuw9XXHFFyLoPPPAAqqurMXXqVLjdbgwfPhxbt261COuNGzdi+vTpGDVqFARBwNixY7Fy5UojPzk5Ge+++y6mTZuGQYMGIT09HfPnzzeMAoC23KLH48GvfvUry/kfffRRPPbYYzh58iT++c9/AkCQEeP9999vVnDFhiCPARvak1Xw7LJFUE+fgINXQuKVkFDdWEzYloMJFkOCZjDwGxGYjbHCXJaZ6wQYMZhNeYtRQrTJNxkxWIARI7TRQwjOJ6MHQRAE0Y7wz5e3zo1vcEm6QLFvXpJOboX1yPT58lYB799nrrhgUe+KBZzxUIQ4eBGviXnEQJYdkOthjMjLptF5uY7DWw/dBV9Lbykng0BB7x+tDx7FD5pr7wIEsf2LeoWrqPHKqJI9JgFvFfiBYj9wW+X1oO48BX0gLlFEvORAvMOBBH1rHDuciJckPc1pyUt2unBJUnKL9qU5tCdt0BSi3WOAOH/IY+AC4rB4ByrjzctZqHCIdXCItXAINdqHVcPBauBgVXDgHCScg4NXwcEr4OCVENU6zRVQkbX5eIoCqLJ1a/ery1VAUQHFPiBPYxaldm1xYizYWyIco0dgviAGGSUgiJrhI5QnRkijhxCcb7QTYBQhowdBEEREMebLNxTwzjQfnge43VsEfl0bzJd3mUbonXFATKDAD3TDjwVzxUGV9Hn0igTFJOYNV3uTgPdWcGNOvSb29fn11juH5iykzhj8Yt4s4G1G6m2D6Dnb9/x6hauo1UffLSJe9qDaK5tEvSekqK/yelGrNGGJgTBwCSLidKGe4AgQ9CaBH5gXLzm1NP1YoncTgmj3kGGgnRPTNR1eQYWnxjfHTYBXiYNXiQMQXvAJwQE447S1YJ2xDI44aPtxDI5YBmc8gxTD4YjhcLoUOJwqGHxGBM1w4DcsmIwLir8MVxVLeZgNEaoMrtjkq7JRhpvbUwPaNpdv0rl97dkZPbhm8LiQjR523h7GFJNAj4swjB5mb49Ag4rJeBGcH4bRQ0+zN8iYjCK0IgZBdCg45/oa7lz/x8tNa7oHppmOtcqh870ebQTeE2puvJ2oD9yvbeX58gGj8jHxhlj3i/24gDS/qIcrDkyUoMj6KLx5RD5A0MvVHPJZ00i9SdxrP5NNXNPOBkGCZaQ+bEGvB9sTHO3TDV/lHDWGO70nhMu9F1VBIt4q8GvklhX0TkEwCXWnSbBL+gi9b7TeLOaDBb6DfncJosNAhoF2Tr+xfpcPRebw1mgfTw3grfXt6+m1HJ5qfVsDeGs4uAqoXqCugqOuInw564iV4Ih1+A0IPsNCHIMjFkFp7TkgDldVk8HBbGCwM0oEGBcUWa8vw+JxEcroYeORETrfdP4QRg+oSrC3h7mvjRk9bOweHcLoIQgmo4RdfqBxojGjR2NTYHyeIoIhWngooRJSzISRbydwDOHUSBtGN6xtcKONRs7RQBuN5jco5hBwDfbXzxu6h80RjJa2wnlOCGg/uA3/Y2jo+gPOa3sc+hyNtxHeOXjIexnGOYL62MC9ao6oj7YZjr758gEB7+xc60OO0BtlYywGUM61QQFDwOti3izy5UroYj9gtL6+HnJdfYs5IohOWObR2y5rFxhUz+S2L7azZe5UzrURept59NWBc+VDCPwqr6fFBb3EBEOcB7rcW0frnQHu+FaB74zQWuwEQUQvZBiIIkSJQUxiiAlzahPnHEo9NMOBxYgAeGo5vNVc29b482Q9xpC3VjM8oCy8FzQmwvBAcMSZDAexfsOCtoWR1lZr4TJB0IQiHPb5bdKL1oGrKrQpH+F4YgR7c3C7aSUmjwuu2BhFzEaPIGOG1fBi8fYIMLjYGj0s3h4dzOhBEETbIYiaEPe50we41mtb0wh9jM3IvCtWS3fEhDSMc1UT6l47QV9uEvTGSL3HJOz1+fUt9I/LLOIdNiP12ih+8Bx8RwyD6AKEduKGzzlHrSLbCvdGBX7AqH1L/iaIjBkj8Q253Dck8BMcJOgJgogcZBi4gGHM/8MeLqrKIdfC8EKwbGtN3gq+9FoO1QtwBag/x1F/LvyfWdEZ4HkQaFQweyvEap4K7dUrIVJo8QT00XG7/LbtTovCOW+CJ0Yoo0foKTA80Hsk0Chia/TwG154UJ/0D2MAmL5F8LElrbH8gDbg2zAjjbHA/BDnNdpnQW2g0TZgbavBNoLzmfk4VLuh7k/gOWCX5mujkfyG2rD0s5E2gp4DTNdg/5wavYfh3mO9fRb0jMK4x7bPIaDvYbfRwPUbt6AJ97DRe9zAPQr7OVnLhPN7oio8eE79OQ75R3O6J2Ck3m8AUILm1zcPJqDBdeqNEXzTSL35uD149XHOUaco1gj2IYLhWY4tLveaQUBtQUkvMmYS5uYgePqx2cU+hMBPcDjhFISI32OCIIjzgQwDhAVBYHDGA8748H/cFG+gESF4moPZsOCt0Qd+PUCth6PWHeYPPIN/GkMsgyPeZ0yweiT40pxx7XdOItE4jDE9vsCFZ/QgCKL1URVdrNdzKPUcsgfa1veps59Tbwj7Ji1z1zCCBP9IvU/Qm6PfW1zvg9Mjucwd5xz1itKAiA8t8AO3SgtOExEZCx6Bt3GrN+bT27ncOxxwCSK9JxAEQYAMA0QLIDoYxGSGmOTwynOujbRYYiPU+I0GHpM3gs8zQa4HwAGv7q0QrlO4IMEIsOiIhcULwT/1wTrNIRqWIyIIgrgQ4VwLdqcJeF3U++bYW8S9VfAHllPqWzbIv+hCcLA8y7J21rXtHQEj+pH4XeGco15VrOK8gbnyDQXKa0lBL8A3Qq8FwYsL4XIf7I5vHb13iSToCYIgWhIyDBBtDmO6SI9l4S6sAFXxGRFCTHMwDAww0rju5d3UKQ5SDCyxERoKuuiI014G6eWEIIiOjKqYhbku3j3mfatoN/I8PKAOWjwYiOgARN8IvVObL2871z6UsHehzZe5q1eUAKHuCVPgW/PkFlw1gQENuNWHdrlPCHC5jyFBTxAE0S4hwwARFQgigyuRwZUYXnnfqFNwgEUEeSn4pzlodX2Rn2vLwwy8KCAo6GKwN4JpmkM8a3fRmQmC6HhwrrnKW4S5LtotI/H19iP2isc/ct9SLvc+GINfwLsA0ckC9rU80aWtT29bzqXNrW/LoHkek8u9fUT78AS+1y74ajNhAOIC3eht3eqdwYLeVC5WlEjQEwRBXMCQYYC4IGFMf1l0MsSmhleHq9q8UosXgmlKg8WooC8LqXi0RQE81RyeaqA6zKEu0YEgbwS7aQ7aFAg98GI7iQhNEERk4WqwS70m5hEg3oMFvNnlXqlv+ZUBjbXqdWEuOREg3k0j9r48y76W19Zz6r0BLve2wfAsc+plU3n/HHtPCwp6AIiTpKAgeI253Meb5tQnOByIlSQIJOgJgiCIRiDDAEHoMIHBqY/6x4dZR5EDvBFqA4wKNtMcuKqvuFfBUVcR/lu5z3gQvASkPs0h3uql0B6iUBMEocE51xa3MI++B4h2y77hbh8s+BWbpTrPF0PIG6JdF/Bm13sbAS/po/K+bVvOpQ8Milcthw58V6OvV28n/mu8XtS3ZEAC+AV9fJBbfXgu9/EOJ+JI0BME0QG5+eab4fV6sXXr1qC8nTt34tprr8Vnn32Gfv36AQDOnj2L/v374+TJkygvL0dKSopR3uPxYPny5di4cSMOHjyIuLg49OnTB7/97W9xxx13wOGwX8qcc45HH30Ua9euhdvtxrBhw7B69Wrk5uYaZcrKyjBjxgy88cYbEAQBY8eOxYoVK5CQkGCU+fzzzzFt2jTs3r0bnTt3xowZM/DAAw/YnnPz5s2YOHEifvGLX2DLli1G+mOPPYbNmzfj+PHjcDqdGDRoEP74xz9iyJAhTbmtYUGGAYI4D0SJQUxiiEkKrzzn2kt+cIBF+6CLnhotUCMAeGs1w0O4E3CZ6F/BwRkH2yUg/QYGLZ8CLxKEFc5t5s4Hutl7QrvbmwV/C073BgAIIiyiXWzApb6hEXuxjVdvUbiKGm+wUK9pQNhrol9GTStGuQeAWFEKcrGPC3Kr97ncm0bzzS73kgSRCS3aL4IgiI5CYWEhxo4dixMnTqBbt26WvPXr12Pw4MGGUcBXvl+/fjh58qSlrMfjQUFBAT777DM8/vjjGDZsGJKSkvDvf/8bTz31FAYOHIgBAwbY9mHJkiVYuXIlXnzxReTk5OCRRx5BQUEBvvzyS8TExAAAJk2ahFOnTqGoqAherxd33XUXpk6dik2bNgEAKisrMXr0aOTn52PNmjXYv38/pkyZgpSUFEydOtVyvu+++w6zZ8/GNddcE9SX3r17Y9WqVbjkkktQW1uLZcuWYfTo0Th06BA6d+7c5PvbEIzzlnYkjH4qKyuRnJyMiooKJCWFqfgIopVQVc1wEHIJyGoOTy0sxoTmzvcVXWhwCcjA6Q5SDHklEO0TVTaLd/Pc+RAj9h5uGwlf8bR83ywC3iTagwLkBYp7I0/bb+vReY+qhhbtYQj7Gt39vlZp2YAE5qB4PiFvN1rv28ZJweI/QXIiVpIgCSToCYIIJlq1QV1dHY4ePYqcnBzExMSAcw54IiT9nCysd0ZZltGtWzdMnz4dDz/8sJFeVVWFrKwsLF26FPfccw8AYPXq1Xj55Zcxf/58jBo1yuIxsGTJEsydOxd79uzBwIEDLefwer3weDyIjw/2EeacIzs7G7///e8xe/ZsAEBFRQUyMjKwYcMGTJgwAV999RUuu+wy7N69G4MHDwYAbN26FWPGjMGJEyeQnZ2N1atXY968eSgpKYHT6QQAPPjgg9iyZQu+/vpr43yKouDaa6/FlClTsHPnTrjdbovHQCC+v8X33nsPo0aNavR+Bv4NNAR5DBBEO0cQGFwJgCshfBGgeAONCLDERrCb5gCuuTnX1nPUusP80WAIXq3BLuiiyUNBdJIhgbDHPDpvGaU3Ra63zpE3R7u3RsLnLesZDibANuCd7Yi9ee68C0Hu9m09Ol9rzIcPHqW3CPegEfrWW7IOAJyCELT+fLzksCxfZ9kawl+y5FFQPIIgiDDxcNRO/yoip45d1RdwNf6/WpIkTJ48GRs2bMC8efOM/++vvPIKFEXBxIkTAQBffvklFi5ciF27duHIkSNB7WzcuBH5+flBRgEAcDgcIacRHD16FCUlJcjPzzfSkpOTMWTIEBQXF2PChAkoLi5GSkqKYRQAgPz8fAiCgF27duG2225DcXExrr32WsMoAAAFBQVYvHgxysvLkZqqBUFbuHAhunTpgsLCQuzcubPBe+PxePDcc88hOTkZ/fv3b7BscyDDAEFcgIgOBjGZISY5vPKca1MW7JaAtJvm4KnRRl7BoXkz1IQ/xUGQgMaWgLQsFxkbmTXAifBRFetyc2aBbp0jbx2lNwfI843mtzSi0xrFPlC0WyLcW6LdW0fshTZeSSQwun3oEXnZNCJvP0rf0oSaPx/OaH2CLuzjJAecotjifSMIgiCinylTpmDp0qX44IMPMHLkSADaNIKxY8ciOTkZ9fX1mDhxIpYuXYoePXrYGgYOHjxo1G0KJSUlAICMjAxLekZGhpFXUlKCLl26WPIlSUJaWpqlTE5OTlAbvrzU1FT87//+L9atW4d9+/Y12Kc333wTEyZMQE1NDbKyslBUVIT09PQmX1tjkGGAIAgwpq+MEMuATuHVUZVGloA0jAn+lR64AqgyUF/JUV8Z/uijFAOL0SBomkM8s0x3kFw0xaExOOdQvf6gdo0FvGto7nxrLFUnxfhFu3m+fKBo9+9bI9wbo/NtuJqHyrk2Ot8sV3vZIuxbcrk6AJCYoItyn0iXmiXsKcI9QTQO5xzgCriqau5LnINzBVBVcK4CXN+qCji4ttWPAQ6uKv4yXDXaabhd6zHgq6dq7Vna1cvqx/7+BLfjO/af13wN1naMsr7rCbddo4wa1I4jpRsuHvdshJ/oBYSTaSP3ETp3uFx66aUYOnQoXnjhBYwcORKHDh3Czp07sXDhQgDA3Llz0bdvX9xxxx0h2whntvzGjRvxu9/9zjh+++23IbaR0frcuXP4r//6L6xdu7ZRkX/ddddh3759OHPmDNauXYtx48Zh165dQcaJ84UMAwRBNAtBZHAlMrgSwyvvcxMP9DzweRwYMRMsHgtaXbkOkOs4UBZm4EUB/tUaApaANBsRzEEZxTYeEW4uquoX7Ya7vWXufBgR7vW8MJ08wkZwIEiYB86dNwt481x784h9pJaqq5HloGXqmjKHvlaWW/qWBo3OxwWJdSksYU+j8x0TTUiaxKFFbAYc61u/aAsUdWqAgFNMojW4XX+anaC0tmsVv2pAuyFErF27aoDYtGs3QKgGt+M/tgh4i4gNEPQB5yJaDia5It2FCwrGWFju/O2BwsJCzJgxA8888wzWr1+Pnj17YsSIEQCA7du3Y//+/Xj11VcB+I0A6enpmDdvHhYsWIDevXtb5vLbccstt1ii+3ft2hWnTp0CAJSWliIrK8vIKy0tNYIVZmZm4vTp05a2ZFlGWVkZMjMzjTKlpaWWMr7jzMxMHD58GN999x1uvvlmI1/VBwUkScI333yDnj17AgDi4+PRq1cv9OrVC1dffTVyc3Oxbt06zJ07t7Hb2CTIMEAQRJvAmF8AxqaGV4erHN46BHshBCwBaU5TPNo7mqeKw1MFVIcp1UQH0NgSkBYDQ2zjo9G+HyrOuRYMrx5Q6lWrePcASl3gqL11fr1mANDS1ZZeqo5xzb3eqS9Z5+QQHYDk4lqakcchOjkkB9dG6R0cokurKzhUSE7NIGO6eN9OwLE/zfJkOAcUQKnhUEKUN1dQuYpaRdXFuoJqRUatomj7sowa374io0ZWUK0oqFEULQCeovjTZAWeFp47LzIgXhQRJ4qIFwXEiYKxH2tKixdFxAmC6VhArCggXtCOY0QBomEgCbyPvq0McK8/zwvAC/Aa/73zAAHXGNiGqfkGnhfs7lNQf8yjNOGV96Vxm+fc0N+P8XcUbnke0EfTSKVFFFpGPANHaQPFovXYGBENEsx6fZjEY0OjyBaxaTN6jGDBayfgW9z6R7QcTAQTBO0fJxPAmAAIIhiYtg1MZ6aygqDVZ8zUjggwBsZEQBDAIGhbZiprtKOXFUT/OWza1dJM7RplTO1arqGxds3XYF/Gf83alkkNB0sjLlzGjRuHmTNnYtOmTXjppZdw7733GoMGr732Gmpra42yu3fvNoL3+cT07bffjoceegiffvppyOCDiYmJSEy0jnDl5OQgMzMT27ZtMwwBlZWV2LVrF+69914AQF5eHtxuN/bu3YtBgwYB0IwVqqoahoa8vDzMmzcPXq/XiGdQVFSEPn36IDU1FbGxsdi/f7/l3A8//DDOnTuHFStWoHv37iHvjaqqqK9v+fmXZBggiCjAMupjvDD6XkB5gJsgtx8FsilvN9oTsq6vjmXkJLhflpdUmEeXzHVs6qqBfeDWl2fOjXwnV+FQVcQJKniCCsT521EVAbIcC1WOhSzHQZFjoSjxUOQ4bWt8EqEq8VDUBAASFC+gVHDUVYT7Iq1CYOcgoAICc0NgFQA84DweHHFQjW0cOOLR8v9u6yGgGozV6NtqCKgBYzVgqIYQsDXn++oxVIOhDowBkPVPdeBVap+WskfIEFAnOFEnOFHLnKgVnKgVXEFpdXp6rZ5m5JuOeQsvCedSPYhRPYhVPYjh2jZW9SBGrdf2uSlf9SCW1/v3VQ9i1XrEcC8cXMb5jMfU6J+OBAegQISXiZCZBJmJ8DIJMkz7ep5RBtq+EpgP/76/rgQZ/nIcDCJUCFw1tgKs++Y8bcut6Xb1TXUFcOPYSA8qYz7mpvMpYHb1A/rEwM/rbw2AVZg2IAQN4SeYygaI0IbFoRgggk1ljXat57YK0cB2teNgER3cju+aDHFqcw0WsRsgolnAeewEu//Yeh47Ec1oOUuCaJSEhASMHz8ec+fORWVlJe68804jzyf+fZw5cwYA0LdvX2NVglmzZuGtt97CqFGj8Pjjj2P48OFITEzEnj17sHjxYqxbt852uULGGGbNmoUnnngCubm5xnKF2dnZuPXWW43z3Hjjjbj77ruxZs0aeL1eTJ8+HRMmTEB2djYAzTCxYMECFBYWYs6cOThw4ABWrFiBZcuWAQBiYmJwxRVXWM7t67svvbq6Gn/84x9xyy23ICsrC2fOnMEzzzyDkydP4te//vX53F5byDDQwbGKL6tIsxeI5jQeMB+Ohy5nHkGBqa5J9NmdzxihsZyjIfEbOJqiBtTxC9LzErAwj9CY+2CtaxHttvc1tPgNvH6ieYj6xwKD9t9P0h8Z4qHyFKhIhsqTtX2eDBXaVrHkJYMjCYCgl0kGeI8we6OCmcW5RbjX6MK92rT1C3iBVYOhVt/WgLGWDyoXCg7AwyRNwDOHIdgN8c6cqBNdhmCvFUzinpmEP3PAI9hHAW4uAlcRyz2IVb2I4R7EcC9iVS9iuddIN+/HcN+x9onR82MgQwQHTDLLP5uBBSboIgOAwPR8F8Bcemmb8rZp1hMxsKA02Mk+mzxmVz5E/zURLkCGqH2YCC8ETXBD0IW171jL85U1yjDBn8dEeOGr68v3H2v1A+r40kzlieYhMkBkDCJjEEz72rG2lQTBfywwSEyAKDAITEvX0vzlRYFBZILetqAfm9rTywimc4mCqbwpX7K0GaJPAWXsj7V+sIb6wMJbDo0giOigsLAQ69atw5gxYwzBHS4ulwtFRUVYtmwZnn32WcyePRtxcXHo27cv7rvvviBRbuaBBx5AdXU1pk6dCrfbjeHDh2Pr1q2W5f42btyI6dOnY9SoURAEAWPHjsXKlSuN/OTkZLz77ruYNm0aBg0ahPT0dMyfPx9Tp04N+xpEUcTXX3+NF198EWfOnEGnTp3w05/+FDt37sTll1/epPsRDoyHE5mhg9Ge1io9ufUx1J89YhWwZsFoEqRB4tc3B64BAUtcaDCbER7z1jeSYd4Gjp4El9NGXqwjMsFtB6aZ6vpGoGBX13wO36iOfg0IdFsMdV79HPCfK2Q5yygTs5zD9t4EuDUCDCoXoXgEeOskyHUCvHUCvHUiuKoHynPq7vZO6G732lZ06NrM9OIaLCIbEHamcvbi01peVlXdpV53t9fXkA9atk4/rvH686wR7mWoLWyccolig2vMNxQAz7zvEn3Psf0iqyq8qgqPqsKr6FtVhUexpnvN5ULkm9vwqCo8ihKw9deVuf/Yq3KjfVnl7d7UyMAhMOgfbZ/5tuAQGAdjXBsx17dgHEwfRQfjAFQwphuKoeVxwwcGEJg20s3AjO+23bG2ZcaWm/bBzWP22r72VsXAAXDu22ppKodxzLnWE85hpKucQ9WPVa73Vk8jwkMAdCOFvYFBMB1LluOG60iC30AhMJtzhDRs6OV1w0awASawjlZeCjCw+PIly7HQiDGFDCUtRXvSBk2hKWvYExcmTfkbII+Bdk792SOoK/ki0t0IFlU2ossQV7Zizl/XTvz5hak53y/OjHaC5s01In59YpHZ1QkhfoPcIhsRv2EJ0uD71Oi9CbqvJoFtU87oDxHVcM5RrwfDMz6WteYDRb1NgDz9uE5pWeOfAIY4hxQQ6E5bei5OkhArSYiVRMSK2jbGt5VExIgiXKKIGFGAU9RefDXBw6FC1ff9W4VzcHAoXIXKPVB5PWoVjipZNaWr/ja4ChUcsqrAo3DIqgoP9wlq/VjlUDg3xLHlwzkUlUPm0LYqoHAOhetbFVB0waZwzfnHd6zqgk/lTBd5pi18HgXtF81MoAZ8OMD8xzxEOgLqcmafDlM6D0o3leW+dAAmwW1secA2MD/U1ra8KVYBCzg23Z3wtg3kNeXxh/pzCep/Ix8enCYybf66wEQITIAAQTeO+I8ZtN8UwTCQaL83PiOIEMJgAtOx9W/e3xcOaHkBxhLNIKJfovG90f4/+PJUw5DiN5yEQoU2/7alw7FEKz5Dic84Ye/tEWxcEKAZKXweH0KIcsHGkwBPkMaMISYDi9UAox3HOyRc2TnM5ZIIgjgvyDDQzskYMQtqfZW9ADQFqQka0bUTzGGM1AYHt9F/7ElwElEK55qI9H1Uro2kKqoKFdrWnG8up3AVsk05WVWgcBVe7ktXdOGpoE5RUScrqFNk1MoK6lUVdbKKekVBvaKN4HpUVdtXuT6iy+FVuD6q2/ITR3wjrAJT9VFXVR9lVYwRVcZUaGH/VHDIABRw4yND5TJUrqAaHFUyh2J0VDB9dIHA/cfMku/LYwH1BLAQ6Zqo0MuYz8OF4LLG+Zp+h9pKvFtFuGnfIsIDhbp+zLjl2F/ON0LOA9rl+tVxY8aDb4Rd0A4ggIMJDIzrItA3Gs50QcdgGS2H3qJ5yy2iVQDXnxuHSSL7RsrB/fvcf6ya0vUb1ba08vkMec5Mx4HOQSbjBIPPq8NnXOAwgpn676R+//z7DRkwFJ+XoC9YZWPGDltjSTMMI3Zlw/m62ThRBZ0qHCNJCEOJ1bDh//gMJgJEv5HEZCwRmDYYoBlVtP9PPi8T/3fF3nDi74/Wd7MRxeddAjD9u8ACvit+A4rhZaJ7nYRjKPEfRRcXJcbj5YIRke4GQXQIyDDQzjng6I5K/UdcYKbXMmb+OWPGeyEz5QWV8+0bL3oAY6r+06XqL4D6Txnz/VRp+4JeH7A7h+nnT3+78Z9HOxaYv10EnIPpjZj76T8PjBdY7Tp9IzsAOMCZ9jIJrlXQXpAYfK+gWhlzvu8F1DcSof2a+kYmOOemF1R+HuX1cTF9CMTvCsr1H3ZTGcB4sbOUMZ2TI/DYdE5oP/qyMdKqjaJq4lc7g8K5kR641fb9o7TBo7i+Y249Nq6dG31SzH00pZvvS+D95Kbr978EmV59DUHhT4chIHz1jT8J/9YsMoy/qPPft8wDb0X8ok/RPlwxxKNfAPjEIjdqMMtV63/4YFB8opwLYCaxrUVgcCBQbDOYhHqQCGcQjTLtG7+rOUzu59C2xv82U5opz3htZ36xBua7x9w4NkleYx+cQ2XaVv+mGB4Ovr9933co8LvY3Cv1CxArHJp3A5rbdEjsRGHroc2L941gCrobtW+0UTDmzQfmScaxz61b+w77/g8qqs94aDIi2qVxbhgIfXVlPc33LENh3P5Gb1lDajhEw0YNuzrhpDVWpglt8DDK6AhgAe8leimTxYRxZvqOadfo/5X3/X8zT43Rf/dNvxBcn5IB02+Pv7MMgQ/CP9nEDDflmr9MLOB/bmCdxp5jYJlm7jPoLzu+A8G0H46hxHhzC1EeAWUF/dnpRhHo3o/+t0HTbwiMcg2dy/eELdfHGarqos+YQRDRChkG2jl/3PMZTtd6It2NC4rmza5t7kvv+bwst/U5z6evAT/mrXq+Ruox293WO5/N6X2GMG1+tPby6zOuaS/Bgqbnmc/1FuCq/nJkjAAJprnGvhGhpr7Qh0oLOLZtu+nnM7/g+1O5bhA0v477X6zNI56wiCubrWEUDMwLtc/8hsGAl017AWa3H1yO8cBygX//LEReQBkefA6xgXNrI5YwRiYNV2/oL9qmF/PgY39//MbhwJd0s7hklqPQ1xhi39BczDg05xvHAc/GnM5typuNgBz66owBRsBAQ2GoNPv+N4BR2V/eHNw0nP8UPGgn+PyNt9PU/7XRS+C9sPvm2xH4DaLQlm1Da9gfq+SKFm6RIIhQkGGgnXOupjMEr9MmJ9SLQTgvDM19qWhKvXDLtmZ/g+uyJv9iNfXc5/vC1nLX2j7PZ4JHw709vzr+kafQAjscDwTfOH200tDXLlBu0gt8eAS9gOsHocwZFuneSFn/vv7XyRtv19haRrBDbf1miib1u8G+sCaU9WO+jz4bhVV82jjoB5Wxbs32A6sJLESdRtqzlmmgHVj/rQb1O6BvLU34Rvem/hA3pXyUtW08hyjrdwN1Gq7dnLZpcIwg2op2YRh45plnsHTpUpSUlKB///7485//jKuuuipk+VdeeQWPPPIIvvvuO+Tm5mLx4sUYM2aMkc85x6OPPoq1a9fC7XZj2LBhWL16NXJzc9vicloUjzcegpoa6W60HC1tSg5BW46ntNW5LrTzhENYfWmBv6mWvOZGxVAIIWRbhzdWJmDWd8i2eXAa97vAtoSYbE7ZUNfZ4D0JqmsSmfowdbjn8e+b74X1OTXcBwaAWzwIwhXDDeYHbrmN6LWpSxBNw95yYvw1Bf6xmvPDsQSZ8+2sNvq+1bkkdPkgo4ZNus944itjf6z1y/Lfj1kNG9xSRj8Ps/7cGLnM3ljDmdWUYxwx05RAPZ9Dn6roy2OwTqkD908i4xyqTT7n2j00pusxbnig+SdT+M+t6tfsm+IH+Caqmafw+aZEwWjBt5KG5bpNHjnMSNOOgu6rqaxx823R0h2iF8ClIcoQBNGSRNww8PLLL+P+++/HmjVrMGTIECxfvhwFBQX45ptv0KVLl6DyH3/8MSZOnIgnn3wSP//5z7Fp0ybceuut+OSTT4z1KJcsWYKVK1fixRdfRE5ODh555BEUFBTgyy+/jLqlOq45l4JU2XVebbTUKyO9fBIEQVy4MAb/XO/AfT3fvG/EjPHFhbGkhahrPrapa64fqk1LGQbLPPWgc4foEwCAwxrcTR9iNx/7hJhdHszlbNN4cBmYzhN4Ll01mcsiVN2AfjQPk9I1tcMDywTQGvb982nTzmhGtA2B31O77571/wVr4LvOjf8X3EjnSIxr00siiA4N4/z8flbOlyFDhuCnP/0pVq1aBUALota9e3fMmDEDDz74YFD58ePHo7q6Gm+++aaRdvXVV2PAgAFYs2YNOOfIzs7G73//e8yePRsAUFFRgYyMDGzYsAETJkxotE/taa3Sx9eVIabu/AwDBEG0LbZCxkZw2YufAKFkqhOqTf8+C9EmQrZpFW8shPALUT8gD4zZXpulbkjhyKx9sulDw/c1xLlDtBl8X1kD97Xhe2iuH+r5NnxfWVCb5vrh/M20xN8cEZ0EGSBM+0GGDovxgodp4DC3YW/sCDR0WI+5vSHEtmzo8zR23OC5Astbzs1DGl1C1TPO01ifGrvfjTwrjuDrsTVoNXLvGr7XTfhjiwBpqQyFt0feOtCetEFTaMoa9sSFSVP+BiLqMeDxeLB3717MnTvXSBMEAfn5+SguLratU1xcjPvvv9+SVlBQgC1btgAAjh49ipKSEuTn5xv5ycnJGDJkCIqLi20NA/X19aivrzeOKysrz+eyWpT7J6ZCbWgdGpheHtuAlniBbKn+tkQ7YTURRqFGi7REG+HSSEMX4jW3yN9Ci/1dksgiCKLtMBsTm1izxftCRC8+w0WjRhg0wQhhyvMfhzBImeuZ0qSI+zYTRMchol+3M2fOQFEUZGRkWNIzMjLw9ddf29YpKSmxLV9SUmLk+9JClQnkySefxIIFC5p1Da1NfJw+7EMQBEEQBEEQrYDZ86gJtVqjKwRBRIhoDnTdYsydOxcVFRXG5/jx45HuEkEQBEEQBEEQRIfi5ptvxo033mibt3PnTjDG8PnnnxtpZ8+eRbdu3cAYg9vttpT3eDxYsmQJ+vfvj7i4OKSnp2PYsGFYv349vF5vyD5wzjF//nxkZWUhNjYW+fn5OHjwoKVMWVkZJk2ahKSkJKSkpKCwsBBVVVWWMp9//jmuueYaxMTEoHv37liyZEnQudxuN6ZNm4asrCy4XC707t0b//rXv2z7tWjRIjDGMGvWrJB9Px8iahhIT0+HKIooLS21pJeWliIzM9O2TmZmZoPlfdumtOlyuZCUlGT5EARBEARBEARBEG1HYWEhioqKcOLEiaC89evXY/DgwejXr5+lvPnYh8fjQUFBARYtWoSpU6fi448/xn/+8x9MmzYNf/7zn/HFF1+E7IMvkP2aNWuwa9cuxMfHo6CgAHV1dUaZSZMm4YsvvkBRURHefPNNfPjhh5g6daqRX1lZidGjR+Oiiy7C3r17sXTpUjz22GN47rnnLH284YYb8N133+HVV1/FN998g7Vr16Jr165Bfdq9ezeeffZZ22ttKSJqGHA6nRg0aBC2bdtmpKmqim3btiEvL8+2Tl5enqU8ABQVFRnlc3JykJmZaSlTWVmJXbt2hWyTIAiCIAiCIAjiQoZzDl4vR+YTZqTLn//85+jcuTM2bNhgSa+qqsIrr7yCwsJCI2316tVwu91GwHkzy5cvx4cffoht27Zh2rRpGDBgAC655BLcfvvt2LVrV8hl7DnnWL58OR5++GH84he/QL9+/fDSSy/hhx9+MGLaffXVV9i6dSuef/55DBkyBMOHD8ef//xnbN68GT/88AMAYOPGjfB4PHjhhRdw+eWXY8KECbjvvvvwf//v/zXO9cILL6CsrAxbtmzBsGHDcPHFF2PEiBHo379/0LVPmjQJa9euRWpqalj3sTlEPKTH/fffj9/85jcYPHgwrrrqKixfvhzV1dW46667AACTJ09G165d8eSTTwIAZs6ciREjRuDpp5/GTTfdhM2bN2PPnj2G9cXnXvHEE08gNzfXWK4wOzsbt956a6QukyAIgiAIgiAIInJ4FNT9/q2InDrm6ZsAV+PSU5IkTJ48GRs2bMC8efOMAKuvvPIKFEXBxIkTAQBffvklFi5ciF27duHIkSNB7WzcuBH5+fkYOHBgUJ7D4YDD4bA9fziB7IuLi5GSkoLBgwcbZfLz8yEIAnbt2oXbbrsNxcXFuPbaa+F0Oo0yBQUFWLx4McrLy5Gamop//vOfyMvLw7Rp0/CPf/wDnTt3xu233445c+ZAFEWj3rRp03DTTTchPz8fTzzxRKP3sLlE3DAwfvx4/Pjjj5g/fz5KSkowYMAAbN261QgeeOzYMQiC37Fh6NCh2LRpEx5++GE89NBDyM3NxZYtW3DFFVcYZR544AFUV1dj6tSpcLvdGD58OLZu3UrLdBAEQRAEQRAEQbRjpkyZgqVLl+KDDz7AyJEjAWjTCMaOHYvk5GTU19dj4sSJWLp0KXr06GFrGDh48KBRtymEE8i+pKQEXbp0seRLkoS0tDRLmZycnKA2fHmpqak4cuQItm/fjkmTJuFf//oXDh06hP/zf/4PvF4vHn30UQDA5s2b8cknn2D37t1NvpamEnHDAABMnz4d06dPt83bsWNHUNqvf/1r/PrXvw7ZHmMMCxcuxMKFC1uqiwRBEARBEARBENGLU9RG7iN07nC59NJLMXToULzwwgsYOXIkDh06hJ07dxrabu7cuejbty/uuOOOkG2EM3Vh48aN+N3vfmccv/3225aR+tZGVVV06dIFzz33HERRxKBBg3Dy5EksXboUjz76KI4fP46ZM2eiqKioTQa424VhgCAIgiAIgiAIgmg9GGNhufO3BwoLCzFjxgw888wzWL9+PXr27IkRI0YAALZv3479+/fj1VdfBeA3AqSnp2PevHlYsGABevfuja+//rrBc9xyyy0YMmSIcdy1a1ecOnUKgBa4Pisry8grLS3FgAEDAGjB7k+fPm1pS5ZllJWVWQLi2wXD9+UBQFZWFhwOh8UY0bdvX5SUlMDj8WDv3r04ffo0rrzySiNfURR8+OGHWLVqFerr61vUkEHLFRIEQRAEQRAEQRDthnHjxkEQBGzatAkvvfQSpkyZYsQbeO211/DZZ59h37592LdvH55//nkA2nKG06ZNAwDcfvvteO+99/Dpp58Gte31elFdXY3ExET06tXL+MTGxoYVyD4vLw9utxt79+41ymzfvh2qqhqGhry8PHz44YeWZRGLiorQp08fI4DgsGHDcOjQIaiqapT59ttvkZWVBafTiVGjRmH//v3Gde7btw+DBw/GpEmTsG/fvhb3biDDAEEQBEEQBEEQBNFuSEhIwPjx4zF37lycOnUKd955p5HXs2dPXHHFFcbHN5e/b9++xtz/WbNmYdiwYRg1ahSeeeYZfPbZZzhy5Aj+9re/4eqrr8bBgwdtz2sOZP/Pf/4T+/fvx+TJky2B7Pv27Ysbb7wRd999N/7zn//go48+wvTp0zFhwgRkZ2cD0AwTTqcThYWF+OKLL/Dyyy9jxYoVuP/++41z3XvvvSgrK8PMmTPx7bff4q233sKf/vQnw7iRmJhouc4rrrgC8fHx6NSpkyW+XksRHb4kBEEQBEEQBEEQRIehsLAQ69atw5gxYwzBHS4ulwtFRUVYtmwZnn32WcyePRtxcXHo27cv7rvvvgaFdTiB7Ddu3Ijp06dj1KhREAQBY8eOxcqVK4385ORkvPvuu5g2bRoGDRqE9PR0zJ8/H1OnTjXKdO/eHe+88w7++7//G/369UPXrl0xc+ZMzJkzp0nX2lIwHu6ikh2IyspKJCcno6KiAklJSZHuDkEQBEEQBEEQESJatUFdXR2OHj2KnJwcWp2tg9KUvwGaSkAQBEEQBEEQBEEQHRgyDBAEQRAEQRAEQRBEB4YMAwRBEARBEARBEATRgaHggzb4wi5UVlZGuCcEQRAEQRAEQUQSnyag0GzEhQwZBmw4d+4cAC1SJEEQBEEQBEEQxLlz55CcnBzpbjQZMmh0XJry7MkwYEN2djaOHz+OxMREMMYi2pfKykp0794dx48fj6ooqETD0HO98KBnemFCz/XCg57phQc90wuT9vRcOec4d+5ck5fMizQOhwMAUFNTg9jY2Aj3hogENTU1APx/Cw1BhgEbBEFAt27dIt0NC0lJSRH/p0i0PPRcLzzomV6Y0HO98KBneuFBz/TCpL0812j0FBBFESkpKTh9+jQAIC4uLuKDnkTbwDlHTU0NTp8+jZSUFIii2GgdMgwQBEEQBEEQBEFcgGRmZgKAYRwgOhYpKSnG30BjkGGAIAiCIAiCIAjiAoQxhqysLHTp0gVerzfS3SHaEIfDEZangA8yDLRzXC4XHn30Ubhcrkh3hWhB6LleeNAzvTCh53rhQc/0woOe6YUJPdeWRRTFJolEouPBOIWpJAiCIAiCIAiCIIgOixDpDhAEQRAEQRAEQRAEETnIMEAQBEEQBEEQBEEQHRgyDBAEQRAEQRAEQRBEB4YMAwRBEARBEARBEATRgSHDQIT58MMPcfPNNyM7OxuMMWzZsqXROjt27MCVV14Jl8uFXr16YcOGDa3eTyJ8mvpMd+zYAcZY0KekpKRtOkw0ypNPPomf/vSnSExMRJcuXXDrrbfim2++abTeK6+8gksvvRQxMTH4yU9+gn/9619t0FsiXJrzXDds2BD0XY2JiWmjHhONsXr1avTr1w9JSUlISkpCXl4e3n777Qbr0Pe0/dPU50rf0+hj0aJFYIxh1qxZDZaj7ytBtB5kGIgw1dXV6N+/P5555pmwyh89ehQ33XQTrrvuOuzbtw+zZs3Cb3/7W7zzzjut3FMiXJr6TH188803OHXqlPHp0qVLK/WQaCoffPABpk2bhn//+98oKiqC1+vF6NGjUV1dHbLOxx9/jIkTJ6KwsBCffvopbr31Vtx66604cOBAG/acaIjmPFcASEpKsnxXv//++zbqMdEY3bp1w6JFi7B3717s2bMH119/PX7xi1/giy++sC1P39PooKnPFaDvaTSxe/duPPvss+jXr1+D5ej7ShCtCy1X2I5gjOH111/HrbfeGrLMnDlz8NZbb1n+CU6YMAFutxtbt25tg14STSGcZ7pjxw5cd911KC8vR0pKSpv1jWg+P/74I7p06YIPPvgA1157rW2Z8ePHo7q6Gm+++aaRdvXVV2PAgAFYs2ZNW3WVaALhPNcNGzZg1qxZcLvdbds5otmkpaVh6dKlKCwsDMqj72n00tBzpe9p9FBVVYUrr7wSf/nLX/DEE09gwIABWL58uW1Z+r4SROtCHgNRRnFxMfLz8y1pBQUFKC4ujlCPiJZiwIAByMrKwg033ICPPvoo0t0hGqCiogKA9mIaCvquRh/hPFdAe5G96KKL0L1790ZHLYnIoSgKNm/ejOrqauTl5dmWoe9p9BHOcwXoexotTJs2DTfddFPQ99AO+r4SROsiRboDRNMoKSlBRkaGJS0jIwOVlZWora1FbGxshHpGNJesrCysWbMGgwcPRn19PZ5//nmMHDkSu3btwpVXXhnp7hEBqKqKWbNmYdiwYbjiiitClgv1XaXYEe2TcJ9rnz598MILL6Bfv36oqKjAU089haFDh+KLL75At27d2rDHRCj279+PvLw81NXVISEhAa+//jouu+wy27L0PY0emvJc6XsaHWzevBmffPIJdu/eHVZ5+r4SROtChgGCiDB9+vRBnz59jOOhQ4fi8OHDWLZsGf7f//t/EewZYce0adNw4MAB/O///m+ku0K0IOE+17y8PMso5dChQ9G3b188++yzePzxx1u7m0QY9OnTB/v27UNFRQVeffVV/OY3v8EHH3wQUkQS0UFTnit9T9s/x48fx8yZM1FUVESBIQminUCGgSgjMzMTpaWllrTS0lIkJSWRt8AFxFVXXUXCsx0yffp0vPnmm/jwww8bHXUK9V3NzMxszS4SzaApzzUQh8OBgQMH4tChQ63UO6KpOJ1O9OrVCwAwaNAg7N69GytWrMCzzz4bVJa+p9FDU55rIPQ9bX/s3bsXp0+ftnhGKoqCDz/8EKtWrUJ9fT1EUbTUoe8rQbQuFGMgysjLy8O2bdssaUVFRQ3OsyOij3379iErKyvS3SB0OOeYPn06Xn/9dWzfvh05OTmN1qHvavunOc81EEVRsH//fvq+tmNUVUV9fb1tHn1Po5eGnmsg9D1tf4waNQr79+/Hvn37jM/gwYMxadIk7Nu3L8goAND3lSBaG/IYiDBVVVUWC/bRo0exb98+pKWloUePHpg7dy5OnjyJl156CQBwzz33YNWqVXjggQcwZcoUbN++HX/729/w1ltvReoSiACa+kyXL1+OnJwcXH755airq8Pzzz+P7du34913343UJRABTJs2DZs2bcI//vEPJCYmGvMZk5OTDU+dyZMno2vXrnjyyScBADNnzsSIESPw9NNP46abbsLmzZuxZ88ePPfccxG7DsJKc57rwoULcfXVV6NXr15wu91YunQpvv/+e/z2t7+N2HUQfubOnYuf/exn6NGjB86dO4dNmzZhx44dxpK+9D2NTpr6XOl72v5JTEwMiucSHx+PTp06Gen0fSWINoYTEeX999/nAII+v/nNbzjnnP/mN7/hI0aMCKozYMAA7nQ6+SWXXMLXr1/f5v0mQtPUZ7p48WLes2dPHhMTw9PS0vjIkSP59u3bI9N5wha75wnA8t0bMWKE8Yx9/O1vf+O9e/fmTqeTX3755fytt95q244TDdKc5zpr1izeo0cP7nQ6eUZGBh8zZgz/5JNP2r7zhC1TpkzhF110EXc6nbxz58581KhR/N133zXy6XsanTT1udL3NDoZMWIEnzlzpuWYvq8E0XYwzjlvS0MEQRAEQRAEQRAEQRDtB4oxQBAEQRAEQRAEQRAdGDIMEARBEARBEARBEEQHhgwDBEEQBEEQBEEQBNGBIcMAQRAEQRAEQRAEQXRgyDBAEARBEARBEARBEB0YMgwQBEEQBEEQBEEQRAeGDAMEQRAEQRAEQRAE0YEhwwBBEARBEARBEARBdGDIMEAQBEEQzWDkyJGYNWtWpLtBEARBEARx3pBhgCAIgiCagMfjadftEQRBEARBNBUyDBAEQRBRS3V1NSZPnoyEhARkZWXh6aeftozkM8awZcsWS52UlBRs2LDBOJ4zZw569+6NuLg4XHLJJXjkkUfg9XqN/MceewwDBgzA888/j5ycHMTExODOO+/EBx98gBUrVoAxBsYYvvvuOwDAgQMH8LOf/QwJCQnIyMjAf/3Xf+HMmTNGeyNHjsT06dMxa9YspKeno6CgoLVuD0EQBEEQRFiQYYAgCIKIWv7whz/ggw8+wD/+8Q+8++672LFjBz755JMmtZGYmIgNGzbgyy+/xIoVK7B27VosW7bMUubQoUN47bXX8Pe//x379u3DihUrkJeXh7vvvhunTp3CqVOn0L17d7jdblx//fUYOHAg9uzZg61bt6K0tBTjxo2ztPfiiy/C6XTio48+wpo1a877PhAEQRAEQZwPUqQ7QBAEQRDNoaqqCuvWrcNf//pXjBo1CoAmuLt169akdh5++GFj/+KLL8bs2bOxefNmPPDAA0a6x+PBSy+9hM6dOxtpTqcTcXFxyMzMNNJWrVqFgQMH4k9/+pOR9sILL6B79+749ttv0bt3bwBAbm4ulixZ0rQLJgiCIAiCaCXIMEAQBEFEJYcPH4bH48GQIUOMtLS0NPTp06dJ7bz88stYuXIlDh8+jKqqKsiyjKSkJEuZiy66yGIUCMVnn32G999/HwkJCbb99RkGBg0a1KQ+EgRBEARBtCZkGCAIgiAuWBhj4Jxb0szxA4qLizFp0iQsWLAABQUFSE5OxubNm/H0009b6sTHx4d1vqqqKtx8881YvHhxUF5WVlaT2yMIgiAIgmgLyDBAEARBRCU9e/aEw+HArl270KNHDwBAeXk5vv32W4wYMQIA0LlzZ5w6dcqoc/DgQdTU1BjHH3/8MS666CLMmzfPSPv+++/DOr/T6YSiKJa0K6+8Eq+99houvvhiSBL9xBIEQRAEER1Q8EGCIAgiKklISEBhYSH+8Ic/YPv27Thw4ADuvPNOCIL/p+3666/HqlWr8Omnn2LPnj2455574HA4jPzc3FwcO3YMmzdvxuHDh7Fy5Uq8/vrrYZ3/4osvxq5du/Ddd9/hzJkzUFUV06ZNQ1lZGSZOnIjdu3fj8OHDeOedd3DXXXcFGREIgiAIgiDaC2QYIAiCIKKWpUuX4pprrsHNN9+M/Px8DB8+3DJ//+mnn0b37t1xzTXX4Pbbb8fs2bMRFxdn5N9yyy347//+b0yfPh0DBgzAxx9/jEceeSSsc8+ePRuiKOKyyy5D586dcezYMWRnZ+Ojjz6CoigYPXo0fvKTn2DWrFlISUmxGCwIgiAIgiDaE4wHTr4kCIIgiChm5MiRGDBgAJYvXx7prhAEQRAEQUQFNHxBEARBEARBEARBEB0YMgwQBEEQBEEQBEEQRAeGphIQBEEQBEEQBEEQRAeGPAYIgiAIgiAIgiAIogNDhgGCIAiCIAiCIAiC6MCQYYAgCIIgCIIgCIIgOjBkGCAIgiAIgiAIgiCIDgwZBgiCIAiCIAiCIAiiA0OGAYIgCIIgCIIgCILowJBhgCAIgiAIgiAIgiA6MGQYIAiCIAiCIAiCIIgODBkGCIIgCIIgCIIgCKID8/8Bb1UYhtl3h74AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize =(10, 5))\n",
    "sns.lineplot(data = sumbyq_his_sales, x='quarter', y='revenue', hue='sku')\n",
    "plt.legend(bbox_to_anchor=(1.05, 1), loc='upper left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "7480e286-dfc4-4012-b6a7-5bcddc6a791e",
   "metadata": {},
   "outputs": [],
   "source": [
    "avgbyq_his_sales = his_sales[['sku','quarter','revenue']].groupby(['sku','quarter']).mean().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "9cfd18c5-2a3b-48fc-b8c4-ac5cb2416484",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sku</th>\n",
       "      <th>quarter</th>\n",
       "      <th>revenue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>DAL-00092</td>\n",
       "      <td>4</td>\n",
       "      <td>3433.906404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>LQQ-00038</td>\n",
       "      <td>4</td>\n",
       "      <td>2527.611801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>DAJ-00092</td>\n",
       "      <td>4</td>\n",
       "      <td>2003.527888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>DAJ-00092</td>\n",
       "      <td>3</td>\n",
       "      <td>1985.520863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>DAL-00092</td>\n",
       "      <td>3</td>\n",
       "      <td>1842.019481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>LQS-00024</td>\n",
       "      <td>1</td>\n",
       "      <td>95.018519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>V4C-00043</td>\n",
       "      <td>1</td>\n",
       "      <td>92.417131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>V4C-00064</td>\n",
       "      <td>2</td>\n",
       "      <td>70.686481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>V4C-00022</td>\n",
       "      <td>2</td>\n",
       "      <td>63.970218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>V4C-00043</td>\n",
       "      <td>2</td>\n",
       "      <td>31.003233</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>72 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          sku quarter      revenue\n",
       "11  DAL-00092       4  3433.906404\n",
       "39  LQQ-00038       4  2527.611801\n",
       "7   DAJ-00092       4  2003.527888\n",
       "6   DAJ-00092       3  1985.520863\n",
       "10  DAL-00092       3  1842.019481\n",
       "..        ...     ...          ...\n",
       "44  LQS-00024       1    95.018519\n",
       "64  V4C-00043       1    92.417131\n",
       "69  V4C-00064       2    70.686481\n",
       "61  V4C-00022       2    63.970218\n",
       "65  V4C-00043       2    31.003233\n",
       "\n",
       "[72 rows x 3 columns]"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "avgbyq_his_sales.sort_values(by='revenue', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "f29f1bb3-fb11-4d67-9d03-8e241016570a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1e629efc760>"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize =(10, 10))\n",
    "sns.lineplot(data = avgbyq_his_sales, x='quarter', y='revenue', hue='sku')\n",
    "plt.legend(bbox_to_anchor=(1.05, 1), loc='upper left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "c47d3a58-6415-4ee8-836d-41af8ce67636",
   "metadata": {},
   "outputs": [],
   "source": [
    "hissales_extractedsku = his_sales.drop(columns=['sku'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "6568aa8a-c799-498f-85b8-0eee40e7601f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>sold</th>\n",
       "      <th>price</th>\n",
       "      <th>promoprice</th>\n",
       "      <th>promos</th>\n",
       "      <th>revenue</th>\n",
       "      <th>quarter</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-10-02</td>\n",
       "      <td>3</td>\n",
       "      <td>1299.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3897.00</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-10-03</td>\n",
       "      <td>1</td>\n",
       "      <td>1299.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1299.00</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-10-03</td>\n",
       "      <td>3</td>\n",
       "      <td>1299.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3897.00</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-10-04</td>\n",
       "      <td>3</td>\n",
       "      <td>1299.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3897.00</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-10-05</td>\n",
       "      <td>2</td>\n",
       "      <td>1299.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2598.00</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048570</th>\n",
       "      <td>2021-01-17</td>\n",
       "      <td>0</td>\n",
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       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>1048571</th>\n",
       "      <td>2021-01-17</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>1048572</th>\n",
       "      <td>2021-01-17</td>\n",
       "      <td>1</td>\n",
       "      <td>1299.99</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1299.99</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048573</th>\n",
       "      <td>2021-01-17</td>\n",
       "      <td>0</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048574</th>\n",
       "      <td>2021-01-17</td>\n",
       "      <td>0</td>\n",
       "      <td>1299.99</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1048575 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              date  sold    price  promoprice promos  revenue quarter\n",
       "0       2018-10-02     3  1299.00         0.0    NaN  3897.00       4\n",
       "1       2018-10-03     1  1299.00         0.0    NaN  1299.00       4\n",
       "2       2018-10-03     3  1299.00         0.0    NaN  3897.00       4\n",
       "3       2018-10-04     3  1299.00         0.0    NaN  3897.00       4\n",
       "4       2018-10-05     2  1299.00         0.0    NaN  2598.00       4\n",
       "...            ...   ...      ...         ...    ...      ...     ...\n",
       "1048570 2021-01-17     0  1299.99         0.0    NaN     0.00       1\n",
       "1048571 2021-01-17     0  1299.99         0.0    NaN     0.00       1\n",
       "1048572 2021-01-17     1  1299.99         0.0    NaN  1299.99       1\n",
       "1048573 2021-01-17     0  1299.99         0.0    NaN     0.00       1\n",
       "1048574 2021-01-17     0  1299.99         0.0    NaN     0.00       1\n",
       "\n",
       "[1048575 rows x 7 columns]"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hissales_extractedsku"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "ab17214b-d974-48d4-860e-27aad1424ce9",
   "metadata": {},
   "outputs": [],
   "source": [
    "avg_revenue_bydate = hissales_extractedsku[['date','revenue']].resample('D', on='date').mean().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "375711fc-5094-4ffc-ae98-ac2255cd68b1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7172.0"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "avg_revenue_bydate.revenue.max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "9f7ee41a-d88a-4d44-814b-a30d99e149b5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5.525047258979206"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "avg_revenue_bydate.revenue.min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "eee36290-9011-46b5-a0f2-a745ef05df14",
   "metadata": {},
   "outputs": [],
   "source": [
    "sales_holiday = pd.merge(his_sales, holiday, left_on='date', right_on='TheDate', how='outer', indicator=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "8b28dc28-bdaf-4f2a-aa50-65a6ed55f506",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "_merge\n",
       "left_only     1008383\n",
       "both            40192\n",
       "right_only        384\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales_holiday._merge.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "fdc5e516-9e9f-4ccd-abaf-e1c03b8d2990",
   "metadata": {},
   "outputs": [],
   "source": [
    "sales_holiday = sales_holiday[sales_holiday._merge != 'right_only']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "cc55a4f7-6c43-4e7e-b4a3-c0e844fe9a69",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sku</th>\n",
       "      <th>date</th>\n",
       "      <th>sold</th>\n",
       "      <th>price</th>\n",
       "      <th>promoprice</th>\n",
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       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1048575 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               sku       date  sold    price  promoprice promos  revenue  \\\n",
       "0        DAG-00114 2018-10-02   3.0  1299.00         0.0    NaN   3897.0   \n",
       "1        DAJ-00092 2018-10-02   2.0  1599.00         0.0    NaN   3198.0   \n",
       "2        DAL-00092 2018-10-02   2.0  2199.00         0.0    NaN   4398.0   \n",
       "3        LQL-00001 2018-10-02   1.0   999.00         0.0    NaN    999.0   \n",
       "4        LQQ-00038 2018-10-02   1.0  1599.00         0.0    NaN   1599.0   \n",
       "...            ...        ...   ...      ...         ...    ...      ...   \n",
       "1048570  V4C-00043 2021-03-10   0.0  1299.99         0.0    NaN      0.0   \n",
       "1048571  V4C-00043 2021-03-10   0.0  1299.99         0.0    NaN      0.0   \n",
       "1048572  V4C-00043 2021-03-10   0.0  1299.99         0.0    NaN      0.0   \n",
       "1048573  V4C-00043 2021-03-10   0.0  1299.99         0.0    NaN      0.0   \n",
       "1048574  V4C-00043 2021-03-10  30.0  1299.99         0.0    NaN  38999.7   \n",
       "\n",
       "        quarter TheDate HolidayText     _merge  \n",
       "0             4     NaT         NaN  left_only  \n",
       "1             4     NaT         NaN  left_only  \n",
       "2             4     NaT         NaN  left_only  \n",
       "3             4     NaT         NaN  left_only  \n",
       "4             4     NaT         NaN  left_only  \n",
       "...         ...     ...         ...        ...  \n",
       "1048570       1     NaT         NaN  left_only  \n",
       "1048571       1     NaT         NaN  left_only  \n",
       "1048572       1     NaT         NaN  left_only  \n",
       "1048573       1     NaT         NaN  left_only  \n",
       "1048574       1     NaT         NaN  left_only  \n",
       "\n",
       "[1048575 rows x 11 columns]"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales_holiday"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "65b9197e-ec3c-448f-bbf4-4ab5d5c449b0",
   "metadata": {},
   "outputs": [],
   "source": [
    "arr_HolidayText = sales_holiday[~sales_holiday.HolidayText.isnull()].HolidayText.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "cbf1c062-7a9c-4b19-be8b-1a326e171f24",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2018-10-08 00:00:00 Columbus Day\n",
      "2018-10-08 00:00:00 Columbus Day\n",
      "2018-10-08 00:00:00 Columbus Day\n",
      "2018-10-08 00:00:00 Columbus Day\n",
      "2018-10-08 00:00:00 Columbus Day\n",
      "2018-10-08 00:00:00 Columbus Day\n",
      "2018-10-08 00:00:00 Columbus Day\n",
      "2018-10-08 00:00:00 Columbus Day\n",
      "2018-10-08 00:00:00 Columbus Day\n",
      "2018-10-08 00:00:00 Columbus Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-11 00:00:00 Veterans' Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
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      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
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      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
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      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
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      "2018-11-22 00:00:00 Thanksgiving Day\n",
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      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
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      "2018-11-22 00:00:00 Thanksgiving Day\n",
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      "2018-11-22 00:00:00 Thanksgiving Day\n",
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      "2018-11-22 00:00:00 Thanksgiving Day\n",
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      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-22 00:00:00 Thanksgiving Day\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-11-23 00:00:00 Black Friday\n",
      "2018-12-25 00:00:00 Christmas Day\n",
      "2018-12-25 00:00:00 Christmas Day\n",
      "2018-12-25 00:00:00 Christmas Day\n",
      "2018-12-25 00:00:00 Christmas Day\n",
      "2018-12-25 00:00:00 Christmas Day\n",
      "2018-12-25 00:00:00 Christmas Day\n",
      "2018-12-25 00:00:00 Christmas Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-01 00:00:00 New Year's Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-01-21 00:00:00 Martin Luther King Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
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      "2019-02-18 00:00:00 President's Day\n",
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      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
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      "2019-02-18 00:00:00 President's Day\n",
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      "2019-02-18 00:00:00 President's Day\n",
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      "2019-02-18 00:00:00 President's Day\n",
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      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
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      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-02-18 00:00:00 President's Day\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-19 00:00:00 Good Friday\n",
      "2019-04-21 00:00:00 Easter Sunday\n",
      "2019-04-21 00:00:00 Easter Sunday\n",
      "2019-04-21 00:00:00 Easter Sunday\n",
      "2019-04-21 00:00:00 Easter Sunday\n",
      "2019-04-21 00:00:00 Easter Sunday\n",
      "2019-04-21 00:00:00 Easter Sunday\n",
      "2019-04-21 00:00:00 Easter Sunday\n",
      "2019-04-21 00:00:00 Easter Sunday\n",
      "2019-04-21 00:00:00 Easter Sunday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
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      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
      "2019-04-22 00:00:00 Easter Monday\n",
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      "2019-04-22 00:00:00 Easter Monday\n",
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      "2019-04-22 00:00:00 Easter Monday\n",
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      "2019-04-22 00:00:00 Easter Monday\n",
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      "2019-04-22 00:00:00 Easter Monday\n",
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      "2019-05-27 00:00:00 Memorial Day\n",
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      "2019-05-27 00:00:00 Memorial Day\n",
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      "2019-07-04 00:00:00 Independence Day\n",
      "2019-07-04 00:00:00 Independence Day\n",
      "2019-07-04 00:00:00 Independence Day\n",
      "2019-07-04 00:00:00 Independence Day\n",
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      "2019-07-04 00:00:00 Independence Day\n",
      "2019-07-04 00:00:00 Independence Day\n",
      "2019-07-04 00:00:00 Independence Day\n",
      "2019-07-04 00:00:00 Independence Day\n",
      "2019-07-04 00:00:00 Independence Day\n",
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      "2019-07-04 00:00:00 Independence Day\n",
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      "2019-07-04 00:00:00 Independence Day\n",
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      "2019-07-04 00:00:00 Independence Day\n",
      "2019-07-04 00:00:00 Independence Day\n",
      "2019-07-04 00:00:00 Independence Day\n",
      "2019-07-04 00:00:00 Independence Day\n",
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      "2019-07-04 00:00:00 Independence Day\n",
      "2019-07-04 00:00:00 Independence Day\n",
      "2019-07-04 00:00:00 Independence Day\n",
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      "2019-07-04 00:00:00 Independence Day\n",
      "2019-07-04 00:00:00 Independence Day\n",
      "2019-07-04 00:00:00 Independence Day\n",
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      "2019-09-02 00:00:00 Labour Day\n",
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      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
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      "2019-09-02 00:00:00 Labour Day\n",
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      "2019-09-02 00:00:00 Labour Day\n",
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      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
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      "2019-09-02 00:00:00 Labour Day\n",
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      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
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      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
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      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
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      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
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      "2019-09-02 00:00:00 Labour Day\n",
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      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
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      "2019-09-02 00:00:00 Labour Day\n",
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      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
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      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
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      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
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      "2019-09-02 00:00:00 Labour Day\n",
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      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
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      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-09-02 00:00:00 Labour Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-10-14 00:00:00 Columbus Day\n",
      "2019-11-28 00:00:00 Thanksgiving Day\n",
      "2019-11-28 00:00:00 Thanksgiving Day\n",
      "2019-11-28 00:00:00 Thanksgiving Day\n",
      "2019-11-28 00:00:00 Thanksgiving Day\n",
      "2019-11-28 00:00:00 Thanksgiving Day\n",
      "2019-11-28 00:00:00 Thanksgiving Day\n",
      "2019-11-28 00:00:00 Thanksgiving Day\n",
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      "2019-11-28 00:00:00 Thanksgiving Day\n",
      "2019-11-28 00:00:00 Thanksgiving Day\n",
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      "2019-11-28 00:00:00 Thanksgiving Day\n",
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      "2019-11-28 00:00:00 Thanksgiving Day\n",
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      "2019-11-28 00:00:00 Thanksgiving Day\n",
      "2019-11-28 00:00:00 Thanksgiving Day\n",
      "2019-11-28 00:00:00 Thanksgiving Day\n",
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      "2019-11-28 00:00:00 Thanksgiving Day\n",
      "2019-11-28 00:00:00 Thanksgiving Day\n",
      "2019-11-28 00:00:00 Thanksgiving Day\n",
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      "2019-11-28 00:00:00 Thanksgiving Day\n",
      "2019-11-28 00:00:00 Thanksgiving Day\n",
      "2019-11-28 00:00:00 Thanksgiving Day\n",
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      "2019-11-29 00:00:00 Black Friday\n",
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      "2019-12-25 00:00:00 Christmas Day\n",
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      "2020-01-01 00:00:00 New Year's Day\n",
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      "2020-01-01 00:00:00 New Year's Day\n",
      "2020-01-01 00:00:00 New Year's Day\n",
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      "2020-01-20 00:00:00 Martin Luther King Day\n",
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      "2020-02-17 00:00:00 President's Day\n",
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      "2020-04-10 00:00:00 Good Friday\n",
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      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
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      "2020-04-10 00:00:00 Good Friday\n",
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      "2020-04-10 00:00:00 Good Friday\n",
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      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
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      "2020-04-10 00:00:00 Good Friday\n",
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      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
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      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-10 00:00:00 Good Friday\n",
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      "2020-04-10 00:00:00 Good Friday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
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      "2020-04-12 00:00:00 Easter Sunday\n",
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      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "2020-04-12 00:00:00 Easter Sunday\n",
      "20