bayes_model.json

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      "text": "%pyspark\nfrom pyspark import SparkFiles\nimport pandas as pd\nimport pickle\n# Load in user_data.csv from S3 into a DataFrame\nurl \u003d \"https://ucsd-enron-final-project.s3-us-west-1.amazonaws.com/enron_dataset.csv\"\nspark.sparkContext.addFile(url)\n\npy_df \u003d spark.read.csv(SparkFiles.get(\"enron_dataset.csv\"), sep\u003d\",\", header\u003dTrue)\n\npy_df.show()",
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            "data": "+-------------------+---------+---------------------+-----------------+---------------+-------------+-----------------------+--------+----------------------+--------------------+-------------+-----------------------+-----------------------+-------------+-------------------+---------+-----+----------------+-------------------------+--------+-----------------------+-----------+--------------+-----------------+\n|                _c0|    bonus|bonus-to-salary_ratio|deferral_payments|deferred_income|director_fees|exercised_stock_options|expenses|fraction_mail_from_poi|fraction_mail_to_poi|from_messages|from_poi_to_this_person|from_this_person_to_poi|loan_advances|long_term_incentive|    other|  poi|restricted_stock|restricted_stock_deferred|  salary|shared_receipt_with_poi|to_messages|total_payments|total_stock_value|\n+-------------------+---------+---------------------+-----------------+---------------+-------------+-----------------------+--------+----------------------+--------------------+-------------+-----------------------+-----------------------+-------------+-------------------+---------+-----+----------------+-------------------------+--------+-----------------------+-----------+--------------+-----------------+\n|         METTS MARK| 600000.0|   1.6402943781644013|              0.0|            0.0|          0.0|                    0.0| 94299.0|    1.3103448275862069|0.001239157372986...|         29.0|                   38.0|                    1.0|          0.0|                0.0|   1740.0|False|        585062.0|                      0.0|365788.0|                  702.0|      807.0|     1061827.0|         585062.0|\n|      BAXTER JOHN C|1200000.0|    4.492665723206865|        1295738.0|     -1386055.0|          0.0|              6680544.0| 11200.0|                   0.0|                 0.0|          0.0|                    0.0|                    0.0|          0.0|          1586055.0|2660303.0|False|       3942714.0|                      0.0|267102.0|                    0.0|        0.0|     5634343.0|       10623258.0|\n|     ELLIOTT STEVEN| 350000.0|    2.047490069673162|              0.0|      -400729.0|          0.0|              4890344.0| 78552.0|                   0.0|                 0.0|          0.0|                    0.0|                    0.0|          0.0|                0.0|  12961.0|False|       1788391.0|                      0.0|170941.0|                    0.0|        0.0|      211725.0|        6678735.0|\n|   CORDES WILLIAM R|      0.0|                  0.0|              0.0|            0.0|          0.0|               651850.0|     0.0|    0.8333333333333334|                 0.0|         12.0|                   10.0|                    0.0|          0.0|                0.0|      0.0|False|        386335.0|                      0.0|     0.0|                   58.0|      764.0|           0.0|        1038185.0|\n|     HANNON KEVIN P|1500000.0|    6.165405498719651|              0.0|     -3117011.0|          0.0|              5538001.0| 34039.0|                   1.0|0.020095693779904306|         32.0|                   32.0|                   21.0|          0.0|          1617011.0|  11350.0| True|        853064.0|                      0.0|243293.0|                 1035.0|     1045.0|      288682.0|        6391065.0|\n|MORDAUNT KRISTINA M| 325000.0|   1.2168046335920448|              0.0|            0.0|          0.0|                    0.0| 35018.0|                   0.0|                 0.0|          0.0|                    0.0|                    0.0|          0.0|                0.0|   1411.0|False|        208510.0|                      0.0|267093.0|                    0.0|        0.0|      628522.0|         208510.0|\n|   MEYER ROCKFORD G|      0.0|                  0.0|        1848227.0|            0.0|          0.0|               493489.0|     0.0|                   0.0|                 0.0|         28.0|                    0.0|                    0.0|          0.0|                0.0|      0.0|False|        462384.0|                      0.0|     0.0|                   22.0|      232.0|     1848227.0|         955873.0|\n|    MCMAHON JEFFREY|2600000.0|    7.018528916339135|              0.0|            0.0|          0.0|              1104054.0|137108.0|    1.2083333333333333|0.011040339702760084|         48.0|                   58.0|                   26.0|          0.0|           694862.0| 297353.0|False|        558801.0|                      0.0|370448.0|                 2228.0|     2355.0|     4099771.0|        1662855.0|\n|    HAEDICKE MARK E|1150000.0|    3.073838957567658|        2157527.0|      -934484.0|          0.0|               608750.0| 76169.0|   0.09273570324574962|0.015215764529807932|       1941.0|                  180.0|                   61.0|          0.0|           983346.0|  52382.0|False|        524169.0|                -329825.0|374125.0|                 1847.0|     4009.0|     3859065.0|         803094.0|\n|    PIPER GREGORY F| 400000.0|   2.0295193590777862|        1130036.0|       -33333.0|          0.0|               880290.0| 43057.0|    0.2747747747747748| 0.03877221324717286|        222.0|                   61.0|                   48.0|          0.0|                0.0|    778.0|False|        409554.0|                -409554.0|197091.0|                  742.0|     1238.0|     1737629.0|         880290.0|\n|    HUMPHREY GENE E|      0.0|                  0.0|        2964506.0|            0.0|          0.0|              2282768.0|  4994.0|    0.5882352941176471|           0.1328125|         17.0|                   10.0|                   17.0|          0.0|                0.0|      0.0|False|             0.0|                      0.0|130724.0|                  119.0|      128.0|     3100224.0|        2282768.0|\n|      NOLES JAMES L|      0.0|                  0.0|         774401.0|            0.0|          0.0|                    0.0|     0.0|                   0.0|                 0.0|          0.0|                    0.0|                    0.0|          0.0|                0.0|      0.0|False|        463261.0|                 -94556.0|     0.0|                    0.0|        0.0|      774401.0|         368705.0|\n|  BLACHMAN JEREMY M| 850000.0|    3.419890080709406|              0.0|            0.0|          0.0|               765313.0| 84208.0|    1.7857142857142858|0.000808080808080...|         14.0|                   25.0|                    2.0|          0.0|           831809.0|    272.0|False|        189041.0|                      0.0|248546.0|                 2326.0|     2475.0|     2014835.0|         954354.0|\n|       SUNDE MARTIN| 700000.0|   2.7185944090164127|              0.0|            0.0|          0.0|                    0.0|     0.0|    0.9736842105263158|0.004911220249338874|         38.0|                   37.0|                   13.0|          0.0|           476451.0| 111122.0|False|        698920.0|                      0.0|257486.0|                 2565.0|     2647.0|     1545059.0|         698920.0|\n|       GIBBS DANA R|      0.0|                  0.0|         504610.0|            0.0|          0.0|              2218275.0|     0.0|                   0.0|                 0.0|         12.0|                    0.0|                    0.0|          0.0|           461912.0|      0.0|False|             0.0|                      0.0|     0.0|                   23.0|      169.0|      966522.0|        2218275.0|\n|    LOWRY CHARLES P|      0.0|                  0.0|              0.0|            0.0|          0.0|               372205.0|     0.0|                   0.0|                 0.0|          0.0|                    0.0|                    0.0|          0.0|                0.0|      0.0|False|        153686.0|                -153686.0|     0.0|                    0.0|        0.0|           0.0|         372205.0|\n|     COLWELL WESLEY|1200000.0|    4.158839960906905|          27610.0|      -144062.0|          0.0|                    0.0| 16514.0|                   6.0|0.006257110352673493|         40.0|                  240.0|                   11.0|          0.0|                0.0| 101740.0| True|        698242.0|                      0.0|288542.0|                 1132.0|     1758.0|     1490344.0|         698242.0|\n|      MULLER MARK S|1100000.0|   4.3710809285765375|         842924.0|      -719000.0|          0.0|              1056320.0|     0.0|                  0.75|                 0.0|         16.0|                   12.0|                    0.0|          0.0|          1725545.0|    947.0|False|        360528.0|                      0.0|251654.0|                  114.0|      136.0|     3202070.0|        1416848.0|\n| JACKSON CHARLENE R| 250000.0|   0.8663769502145149|              0.0|            0.0|          0.0|               185063.0| 10181.0|   0.44642857142857145| 0.07364341085271318|         56.0|                   25.0|                   19.0|          0.0|                0.0|   2435.0|False|        540672.0|                      0.0|288558.0|                  117.0|      258.0|      551174.0|         725735.0|\n| WESTFAHL RICHARD K|      0.0|                  0.0|              0.0|       -10800.0|          0.0|                    0.0| 51870.0|                   0.0|                 0.0|          0.0|                    0.0|                    0.0|          0.0|           256191.0| 401130.0|False|        384930.0|                      0.0| 63744.0|                    0.0|        0.0|      762135.0|         384930.0|\n+-------------------+---------+---------------------+-----------------+---------------+-------------+-----------------------+--------+----------------------+--------------------+-------------+-----------------------+-----------------------+-------------+-------------------+---------+-----+----------------+-------------------------+--------+-----------------------+-----------+--------------+-----------------+\nonly showing top 20 rows\n\n",
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      "text": "%pyspark\n# make a pandas dataframe\nimport pandas as pd\n\ndf \u003d py_df.toPandas()\n\ndf.head()",
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      "text": "%pyspark\nnew_df \u003d df.rename(columns\u003d{\u0027_c0\u0027: \u0027index\u0027})\n\nnew_df \u003dnew_df.set_index(\u0027index\u0027)\n\nnew_df.head()",
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            "data": "                      bonus bonus-to-salary_ratio deferral_payments  \\\nindex                                                                 \nMETTS MARK         600000.0    1.6402943781644013               0.0   \nBAXTER JOHN C     1200000.0     4.492665723206865         1295738.0   \nELLIOTT STEVEN     350000.0     2.047490069673162               0.0   \nCORDES WILLIAM R        0.0                   0.0               0.0   \nHANNON KEVIN P    1500000.0     6.165405498719651               0.0   \n\n                 deferred_income director_fees exercised_stock_options  \\\nindex                                                                    \nMETTS MARK                   0.0           0.0                     0.0   \nBAXTER JOHN C         -1386055.0           0.0               6680544.0   \nELLIOTT STEVEN         -400729.0           0.0               4890344.0   \nCORDES WILLIAM R             0.0           0.0                651850.0   \nHANNON KEVIN P        -3117011.0           0.0               5538001.0   \n\n                 expenses fraction_mail_from_poi   fraction_mail_to_poi  \\\nindex                                                                     \nMETTS MARK        94299.0     1.3103448275862069  0.0012391573729863693   \nBAXTER JOHN C     11200.0                    0.0                    0.0   \nELLIOTT STEVEN    78552.0                    0.0                    0.0   \nCORDES WILLIAM R      0.0     0.8333333333333334                    0.0   \nHANNON KEVIN P    34039.0                    1.0   0.020095693779904306   \n\n                 from_messages  ... long_term_incentive      other    poi  \\\nindex                           ...                                         \nMETTS MARK                29.0  ...                 0.0     1740.0  False   \nBAXTER JOHN C              0.0  ...           1586055.0  2660303.0  False   \nELLIOTT STEVEN             0.0  ...                 0.0    12961.0  False   \nCORDES WILLIAM R          12.0  ...                 0.0        0.0  False   \nHANNON KEVIN P            32.0  ...           1617011.0    11350.0   True   \n\n                 restricted_stock restricted_stock_deferred    salary  \\\nindex                                                                   \nMETTS MARK               585062.0                       0.0  365788.0   \nBAXTER JOHN C           3942714.0                       0.0  267102.0   \nELLIOTT STEVEN          1788391.0                       0.0  170941.0   \nCORDES WILLIAM R         386335.0                       0.0       0.0   \nHANNON KEVIN P           853064.0                       0.0  243293.0   \n\n                 shared_receipt_with_poi to_messages total_payments  \\\nindex                                                                 \nMETTS MARK                         702.0       807.0      1061827.0   \nBAXTER JOHN C                        0.0         0.0      5634343.0   \nELLIOTT STEVEN                       0.0         0.0       211725.0   \nCORDES WILLIAM R                    58.0       764.0            0.0   \nHANNON KEVIN P                    1035.0      1045.0       288682.0   \n\n                 total_stock_value  \nindex                               \nMETTS MARK                585062.0  \nBAXTER JOHN C           10623258.0  \nELLIOTT STEVEN           6678735.0  \nCORDES WILLIAM R         1038185.0  \nHANNON KEVIN P           6391065.0  \n\n[5 rows x 23 columns]",
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      "text": "%pyspark\nimport pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport seaborn as sns\n\nheat \u003d pd.read_csv(url)\n\ndef correlation_heatmap(heat):\n    correlations \u003d heat.corr()\n\n    fig, ax \u003d plt.subplots(figsize\u003d(20,20))\n    sns.heatmap(correlations, vmax\u003d1.0, center\u003d0, fmt\u003d\u0027.2f\u0027,\n                square\u003dTrue, linewidths\u003d.5, annot\u003dTrue, cbar_kws\u003d{\"shrink\": .70})\n    plt.show();\n    \ncorrelation_heatmap(heat)",
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R77WD5PztwLVhR9LPHkTNzMi37qGzZbdRS3YbTS2gjbq370Hy9jzZstuoQ6nyoNOTfs7W36oZaZpm86xRnbRbkaRHRaOazRi37cSvTau/tW1axC3SIiIByIyLJysxEUdvL82yuVWrQXrkLTKjo1DNZhJ3bqdki9aFfh3vNh24c/QQaoZ29Vacj1VCyKDSf4eDoijLFUUJVRRllaIoroqidFQU5aSiKGcVRflWUZQSAIqi3FAU5R1FUU5kr6uWvXyGoijj7r2goijnFEUppyiKm6IomxRFOZ297MV/4xcyJiQR6Jd7IAj09cSYkIQx3n65wdcLY3ySpu9tSk4n0NM59z08nTEl2//hOaRdJTadjabLJ7sZ/uNxJnatBsDN+LsoCrzxwzF6fXmQJQeuoxU/QwCm6NzLZGJjjPjn+YP0QZxKlGDx2l9YuOpnWnXuqFmunHx+nsSacvdFbGwSfn6eBZb9YM5LrPr1LdJSM9m790LO8lcHdODHn9+kQ6c6ObOWtGAI8CMmJndg0GiMw2DwK/TrBAUZCC4dxJEj2syIcAvw425MbM7Pd01xuN2Xy7daJdwD/YnYd1ST9/y7fAICiI8x5vycYDThYwj40/Ltez7NqX22wRpFUeg34U1++PAzzXM9SjsoU74cKUnJzFrwOV+vX80bE22XqWmluNYZgJ/BgCk69/KE2Bgjvn+z3kJPnubU4aOsPLSblYd2c2zfAcKvXtMsm4OPP+b43Hozxxtx8PG3K+NUKgTHoBBKzfya4Fnf4lK3uW2FouD38mjil/0zU/VdAvxIM+a20VRjHC7+9m3Uu1olXAL9id6fv426BQfS5aeFtP/6Y/zqazuh2PX+/sMYh2uAfTafapVwNfhzq4D+w69WNZ5e/RVPr1rMoVnztJmlBOh9Auz3Z4IJvbd9O3AMDMExqCyB078h6J0luNRpnrNOcXQi6N2lBL2zJN8fuo9Kqz63fKfWxIVewZql3eVlHgY/kvN81pKMsXgE5D9ONXzxaYZuWkbHNwfx+we2S8l8ypUGVaXXwg94bcUimr2q7Ve14nysCgwMJDpP3xYdHY0hMNCujCEwkOgo22XOFouF5ORkvL3tZzt27daN8+fOkanRH9v6kgFYEnLbgSXRhL6kfTtwCAzB0VAW/4nf4D9pCSVqNb//ZXBp0oXUI79rkiknm7d9toLaqEN2GzVM/QbD9CU417ZlcwwKQU1Nxm/khwS+u5ySvUaCot1xtIS/H+mm3O9rGaZYSvjnbwf+7dvS+Idvqfn+O5QI8M+33qNGNRRHR9JuaXd5u6OfP1mm3HrLjIvF0T//e3u3bkf1r5ZSYfp7OPrn/w7g3aETiTu3aZYLivexSggZVPrvqAosUFW1OpAEjAG+A15UVbU2tksZ38hTPk5V1QbAQmAcf+1xIEpV1brZl9j9pnX4/6LfzkXzVN1gto5px/w+DZmy5ixWVcViVTkZfpv3n63DkgFN2XXRyJFr2p3RfxQvtOnIoGeeZ+ab4xgx5W1KhZQpsiwTJ/zAC899jKOjnnr1y+csX/LtTvr0+pSd28/w9DNNiizfn+narT1bt+7R9JKpv6QoNB83hEMff/nvvN9DatW9KxVqVWfDN0sB6NL7eU7uPUCC0fSALf9der2eOo0b8sXsDxnc4wVKlSlD1549iiTLf6XOAEqVDaFsxQr0atWRF1t2oH7zptRqpP297P6STo9jUBmi3hmMcd4UAgZPRufqjmeX50g9eQBLQhHVm6JQb+wQThXQRtPjEtjQtS9be7/BqY8X0fz9t3Fw+/MZuv9EtibjhnDsk4L7j7hzF1nXcyAb+w6n9mu90DtpN+vmgfR6HAxliJk1iNj5k/F93bY/AW6N6k701JeJnT8Fn35jcQgI/vdy/Y0+17tiWZqOfp197/4zA8APcnzFOhY80Y+dn31Fq0EvAaDT6ynToBbr3n6f7/uPomqHVpRrWv/fC/UfOVb9mcqVKzN+4kQmv/32v/vGOls7iP1oEAmLJ+PdfzKKS+4Mb52XL46lK5F+/tC/mwtQsrMZ3x9E3ILJ+Lw2GcXVHXQOlKhan8Sf5hEz/WUcAkrj1kabe0z+XXH7DnKox4v88dIAEo8eo/q0SXbrnXx9qDF9Mhff/SBnNvy/5fah/Zzt05PQgS+TdPwo5SZOtVvv4OOLS/kK3PlD+5m1f6k4H6vE/3kyqPTfEaGq6r07bP4AdASuq6p677qw74E2ecr/mv3vcaDcA177LNBZUZQ5iqK0VlX1TkGFFEUZpCjKMUVRji1evPihfom8DD6exMTlvlVMfBIGH08MvvbLjfF3MPgWPBvmYQV4OBOTlDszyZiUToCHs12ZNSdv0aWm7Sx/3TIlyTBbuZ2aicHTmQZlvfF2dcLFUU+rSv6ERmszkyrOaCIgKPfsm3+ggVij8S+2yL89QHTELU4dOUrlGtUfOdNTTzdm0eIhLFo8hISEZPwDcveFv78ncXF//rtnZZk5eOASLVpWy7dux46ztG5T45Gy9er9DKtWf8Wq1V8RGxdPYGDu2SKDwQ+jMa7Qr9m1awe2bN75SLnyumuKwy0w9yyXW4Afd/PkcnRzwadSObp/PZfem5cRUKc6j82biV+NKppl+DMJJhO+gbkzWXwMAQUOeNRq3oQegwfw0dAxmLPP2leuV5vH+rzA/7avp+/40bR+uhu9xwzXJNejtIPYGCNXLlwkOuIWFouFfdt2UKXmo33O8iqudQYQZzQSEBSU87N/oIH4v1lvrTp35MKpM6SnppKemsrRPfupUb+eZtnMCbE4+ObWm4OvAXNC7H1lTKQe2wcWC+bYKDKjw3EMCsG5Sh08H3+BkPnr8O03Co823fDpo129pZnicDHktlFXgx9psfZt1KtiOTp8PZcnNy3Dt3Z1Wn82E+8aVbBmZZF5x3bpSGLoZVJuReNRtrRm2VLv7z8MfqSa7LOVrFiOx7+ey3Obl+FfuzodP5uJ7339x53r4ZhT0yhZqTxasCSY7PenTwCWRFO+Mmkn9ubsz6zocBwCQ2zrEm373hwbSXrocZzK5T9GPKxH7XPdAvzo/OkMdk35kORb2t2YGCDZGIdHns+ap8GfZNOfH6fOb8m9PC7ZGEf48bOk3U7CnJ7B1X1HCNTo3n9QvI9VMTExBOXp24KCgjDGxNiVMcbEEFSqFGA7ueDh4UFiou1yrsDAQBYtXsy4MWMID7e//8yjsNw2offJbQd67wAst+9rB4km0k7Z2oElLgqzMRwHQ0jOetfGnUk7sQss2t0f69775s1WUBs152mjltgozDHhOBpCsCQYyQy/ZLt0zmoh9fhunMpV1SxbRmwczgG539dKBPiTEWvfDsxJSajZx86o9ZvwqJb7OdO7ulLnkzlcW/Q1SecvoKWsuFgcA3LrzcnPn6xY+2OVJU+2uM0bcKtsXzc+7Tpye/9ezfdpcT5WCSGDSv8d9w/D335A+XsX8VrIvSG7Gft97gyQPTDVANvg0ixFUaYVGEBVF6uq2khV1UaDBg0qTPYCdWhcnbW7T6KqKqcuhePh6kyAjyet6lVm/+kr3ElJ405KGvtPX6FVPe2+OAHUDPYkPD6VyMRUsixWfj8fTduq9tNXg7xcOHLddu+da7EpZJqteLs60aKiH1eMyaRlWTBbrRy/mUAF//z3FXoYF8+cpXS5sgSVDsbB0ZGOT3bjwI6/d4mYu6cnjtlnob28S1K7YQNu5LlB78Nav+4PhgxaxJBBiziw/yKdO9cFoHr10ty9m0FCgv3NEZ2dnXLus6TT6WjarDIR4baDXnBw7j2OWrSsmrP8Yf3801qe6zmQ53oOZOeOAzz1VBcA6tSpTkrK3QfeO+l+5cuXwdPTg1Onzj9Srrxiz1/CKyQYj+BAdA4OVHy8HTf35J6RzEpJZWm75/ipWz9+6tYP05lQfh81jbgL2t5HrCBXz14gsGwZ/INLoXd0oEW3LhzfZf+UknLVqzJwxiQ+GjaGpITce0HMHz+V4R2fZESnp1j+4WfsW7eZnz7R5ok/j9IOLp45i7unB14+tsseGjRvqkk7uKe41hnApTPnCC4bQmB2vbV7ohsH/2a9maKiqdukETq9Hr2DA3WaNNL08reMqxdwDArBwb8U6B1wb9GZu8fs6+3u0T241LTNjtJ5eOEUFEKWMRLT/6YSPrQ74cOfJn7ZPJL3bibhR+3qLeH8JTxCgnErZWujIY+1I3K3fRtd2+E5Nj7Rj41P9CP+bCj7Rk8j8UIYJby9ULIvr3QLDsQ9JJi7Gg5ExJ2/hGdIMO7Z2co/1o6I+/qPn9s/x6pu/VjVrR+xZ0PZMXoa8RfCcC8ViKLPzhYUgFe5EFKiYv7srQol49oFHALL5OxPt2ZdSD1uvz9Tj+3GuXpDAHTuXjgGhWA2RaJz9QAHx5zlJarUJStSu8/ao/S5Th5uPD5/FkfnfYNRw+PAPVHnL+JTNhiv7Gw1Hm9P2G77J5F5h+TO2qrcphmJ4bb7x1w78AcBlcvj4FwCRa8jpFEd4q7a39j4URTnY9WZ06cpV748pcuUwdHRkSe7d2f7NvtLi3Zs307Pnj0B22Vu957w5uHpyTdLlvDhnDkcP3ZM01yZ1y/gYCiD3s/WDlyadLENIOWRdnI3JarmtgMHQ4htsCabS5PHSNP40jeAzGsXcAwsgz67jbo262IbQMqb7fhuSuRpow6BIZhjI8m8dgGdqwc6j5IAONdoZHcT/keVHHoRlzKlcQ4KRHFwwNC5A3H77J9M6eSb+33Rr3VL7mbfxFtxcKD2nFnEbP6d2F3aPSnvnrsXQ3EOLo1TYBCKgwPeHTpx+9B+uzIOPr45/y/ZohVp4Tfs1nt36ESCxpe+QfE+VgkhT3/77whRFKW5qqqHgD7AMWCwoiiVVFW9AvQDHtS73gCeBFAUpQFQPvv/pYAEVVV/UBTlNvC6FoHHfPIzR89dJzH5Lm1e/4ARvTphzh617/1YU9o2rMqeE5foPPRjXEo48v5w25eBkh6uDH2+Pc+N/wKAYc93oORf3PD7YTjodEzsVp03fjiOVVV5ul4wlQLcWbDrMjVKedGuagBjulRl5obzLD98A1B455laKIqCp4sj/ZqXo+9Xh1BQaFXZjzZV8l9v/TAsFgufvTOLud99jU6nY/OqX7lx+QoDRo/g0tlzHNixi2q1azFr4f/w8PKkRYf2DBg1gv5du1OuUgXGzXoHq9WKTqdj+aKv7J6WpYUjRy7TpGlllv4wkoz0LD76cF3OukWLhzBk0CKcXRx5d1ZvHB0dUHQKp09dZ8N62xe51wd2onQZP1SritF0m88+1ebJbwB79x6mdZumbNnyA2npGUydMidn3arVX/Fcz4EAjBk7mG7dOuLsXILtO1by6+pNLFhge8xu164d2LJFu1lKAKrFyoHZ8+m6cDY6nY5La38n8epNGg7tT9z5MLsv7QXpvXkZju6u6B0dKdu+BZuHTMz3NJ6HZbVYWDLrIyZ9/T90Oj27fl3PrSvXeH7EYK6dC+X4rr30fWskJVxdGP3pBwDERRuZO0zbx3/f71HagdVqZcHsj/hs2RIUReHSufNsWFHwEygfRnGts3vZ/vfOe3ywZDE6vY7fflnDzctX6T9qOGHnznNoxy6q1q7FjIXzcPf0pHmHdvQfNYzXuz7N3t+2Uq95U77atAaAP/bu5/DO3VqGI+7bDwma/DmKTk/SrvVk3bqG9wuDybgaSurxvaSdPoRr3aaU+WQFqtVK/A/zsKYUOHFWU6rFyok582m7YLbtMc3rfifp2k1qvdGfhAthRP1FG/VvUJtab/S3PYXLauX4e/PITErWNNvhD+bTeaEt25V1v3P76k3qvdGf+AthdgNM9wuoX4vaA15ENVtQrVYOz/6cjNsa3Z/QaiHhu48wTPgf6PSk7FlPVuQ1SvYcTMb1UNJO7CXtzCGcazej1IcrwWol8cfPsabcoUTlOvi+NgmsVtDpuLP+e03/YH2UPrdmr6fxDClFg0Ev0SD7srPNb0wkPeFB5/H+frbf3/8fvRfOQafXcXrtFuKu3qTN0FeIvnCJy7sP0aj3M5Rv2gCr2UxaUgrrs49l6ckpHFm6igE/LkBF5eq+o1zZp93lNcX5WGWxWJgxbRrfL12TCbgAAAAgAElEQVSKTq/nl5UruXz5MqPHjOHsmTPs2L6dFStW8Mmnn7Jzzx7u3L7NyOG22Ywv9+9P2XLlGDFyJCNG2h733r9fP+LjNbhtgdXC7eUf4ffm/1B0eu7uX4856hqeTw8m80Yo6af3knHuEM41m2F419YO7vzyOda7tn5N7xuEg4+BjLATj56lgGwJSz8i4C1bG72719ZGvZ4dTOb1UNJO7iX9rK2NBn2wEtVq5fbPn+f0ubd/mkfAxIWgKGTeCCVl1xrNoqkWC2FzP6PuvLkoOh3RGzeTev0G5QcOIOniReL3HaT0Cz3xa90S1WIhKynZdpkbENCpPV716+Lg5UngE48DcPHdD0i5fEWbcFYL4f/7hMpzPkXR64nbspH0G9cJeuV1UsMucufgfgKefZ6SLVqhWixYkpK4Mee9nM2dDIE4BRhIOa39k0qL87FKCEX9l69DFYWnKEo5bPc5OgY0BC5gG0RqDszFNjj4B/CGqqoZiqLcABqpqhqnKEojYK6qqu0URXEB1gHBwJHs7btiu1/TR4AVyMp+nQedzlE5v1rLX1MbNXuS9uPIok5RIJc+n9Om4qNfjvZP2Hs1lE4dZhR1jHy275wBQK2a7f+6YBE4d942A2Rx3c4PKPnvG3R6G72qNyrqGAX6OfRYsW4HxbHefg61dcedKtUs4iT5bb9im81x9YXGRZwkv4or/wBgRf3i10ZfPLmN7+oVv1wAr5zaxo2+xa8dAJRbfqzY9rkA79XR/gEZj2ryGduTTItrvVUoW7aoYxTo2s2b3HqteLaD0t8cI7xf8csWssx2rNrVTNub72uh/WHbeffjHfI/La2oNdxpm1VXXI9V2B6ILcRfkplK/wGqqt4ACrrhwA4g310aVVUtl+f/x4B22f9PA7oU8Do3AO3n3gohhBBCCCGEEOL/LLmnkhBCCCGEEEIIIYQoNBlUEkIIIYQQQgghhBCFJoNKQgghhBBCCCGEEKLQZFBJCCGEEEIIIYQQQhSaDCoJIYQQQgghhBBCiEKTQSUhhBBCCCGEEEIIUWgyqCSEEEIIIYQQQgghCk0GlYQQQgghhBBCCCFEocmgkhBCCCGEEEIIIYQoNBlUEkIIIYQQQgghhBCFJoNKQgghhBBCCCGEEKLQZFBJCCGEEEIIIYQQQhSaDCoJIYQQQgghhBBCiEJTVFUt6gziv0k+OEIIIYQQQgjxf5dS1AFE8SczlYQQQgghhBBCCCFEoTkUdQDx35X248iijpCPS5/P4fzqoo5RsJo9GVKzRVGnKNCi8wd5rP+uoo6Rz+/ftwegTu0uRZwkvzNntwLQqHylIk6S37HrV3iiSt2ijlGgTWGni2Wdga3e+lZvXNQx8lke+gdAsdynm8JOA3D5ueJXb5VX2eptRf3ORZwkvxdPbqNeuYpFHaNAp25cZV7d4ldnAKNObyuW/cex61cAeKVG0yJOkt93F44A0KR85SJOkt/R65epWLZsUcco0NWbN1lcTNvBoNPbCO/XqKhj5BOy7BgAW5u0L+Ik+XU5avuO26t68au3n0Nt9daiQtUiTpLfwWuXijqC+I+QmUpCCCGEEEIIIYQQotBkUEkIIYQQQgghhBBCFJoMKgkhhBBCCCGEEEKIQpNBJSGEEEIIIYQQQghRaDKoJIQQQgghhBBCCCEKTQaVhBBCCCGEEEIIIUShyaCSEEIIIYQQQgghhCg0GVQSQgghhBBCCCGEEIUmg0pCCCGEEEIIIYQQotBkUEkIIYQQQgghhBBCFJoMKgkhhBBCCCGEEEKIQpNBJSGEEEIIIYQQQghRaDKoJIQQQgghhBBCCCEKzaGoA4j/2w5cieXD3y5itar0aFCaAa0q2K2PvpPG1LVnSU43Y7WqjOxUhdaV/QEIMyYza+N5UjLM6BSF5QObUcJBr0mut+evZvexi/h6ubFx3uh861VV5b1vNrLnxCWcSzjxwfCe1KwYDMCaXSdYuGoXAG88154e7RtokumeGq2a8sLE0ej0eg6s3sDvXy+zW9+xfy9a9eyOxWwhJfE2S6e8T0J0DAA9xgylVpsWAGxetITjv+3QNBvAG30r06SuD+mZVj7+KpQrN1P+tOyM0bUJ8ndm8OQ/cpY91SmYpzoGY1XhyKl4vll5VbNsEyYOpXXrxqSnZzB1ylxCQ6/kKzNixCt0f6oznp7uNGv6dM7ywEB/Zr33Fh4e7uj1Oj777Bv27/sj3/YPo3mbNoybPgWdTs/aFSv5ftGXduvrN2nM2KlTqFStKpNHjmbHlt8AqFK9OhNnzcTN3R2r1cK38xewbdNmTTLd07B1CwZNnoBOr2PrL2v4ZfG3duufebUfjz3fA4vZwp3ERD57ezqxUdEAdOzRnRffGAjAioVfsWPNBs1yFec6q9OqOf0mjUWn07F71To2fP293fqu/fvQ/rmnsVgsJCXc5qspM4mLsrXRZecOExFm+8zHRcfwybCxmmYrrvsTwLVec/xfHQs6HUk71pG49vt8Zdybd8LnBVuGzBthxMybioNfIEHjP0JRdODgwJ0tK7iz9VdNswW2aET9t4ai6HRcW7uFi0tWFFiudMdWtJw7na19h5F4IQwAr8rlaTRlNI5urqhWlW0vDcOamaVZthZt2zB+2lR0ej1rVqxgyUL7ttCgSWPemjaFytWqMXHEKLZntwWA7j2fZeDwYQB8Nf8LNqzWrt7KtmhE2wm2Oju/ZgvHvi24zip1bMUTn0znp97DMGXXWaMBvajZ43FUq5XdcxYQfvCYZrmgePcftVs1o8/bY9DpdexdtZ5NXy+1W/9Y/960ee5prGYzyYm3+WbKLOKjYqjWpCF9JuZ+XwkqX5aF46ZwYsdezbI1a9Oasdn1tm7FSpYuWmy3vn6Txrw5dTKVqlVlysg32Zldb5WrV2firHdwc3fHYrWwZP5Ctmtcb23atmXq9Ono9XpW/PwzXy5caLfeycmJuZ98Qq3atUlMTGTk8OFE3rpFy1atGD9xIo6OjmRlZfHB++9z6OBBTbOVbtGIFtlt4eKaLZz+k7ZQvmMrOn8ynV97DyPuQhjBzRrQZNRr6B0dsWRlceTTr4g6ekqzXM61m+PdbxzodNzdvZakjfn7XNcmnfB6dhCqqpIVfpn4hVMA0Psa8HltKg4+BkDFNHcUlrhozbL5NmtMtbHDUXR6bq3bxI2lP9mtL/XEY1QZOYT02DgAIn5ZQ+S6zTnryr/6EgDXl/xA1KbfNcsFULdVc/pPGodOp2PnqrWsv+8Y361/XzpkH+OTExJZlH2M9ysVyNj/zUVRFPSODvz+w0q2r1itabambVozetpk9DodG1b+wrJFX9mtr9e4EaOmTqJitapMHzWGXVtsdRNYqhSzF81H0elwcHBg1dIfWPvjz5pmE/9/k0El8Y+xWFVmbw5lUb9GGDyd6fvVIdpWDaCiv3tOma/2XqNLjUBeaBzC1dgUhi8/zpbRbTFbrUz+9QyzetSmaqAnt1MzcdBpN7Hu2fYNeKlrMyZ8/kuB6/eeCONGdDxbvxjL6bAIZixexy9zhnI7OZX5K3ew+sNhKIrCs2/Np0Pj6ni5u2iSS9Hp6D15HPMGjiLRaOLtFd9wZtc+oq/eyCkTERrG+y8MICs9gzYv9uDZsUP5etw0arVpQUj1KrzXsz8OTo6M+e4Lzu87RPrdVE2yATSu40NwoAuvjj9CtYqejOhflVEzjxdYtmVDP9LTLXbL6lYrSYsGfrwx9Q+yzCpeHo6aZWvVujFlywbz5BOvUqdONaZMGUnfviPzlduz5zA//bSejZuW2C0fNLgvW3/fy8qVG6lQIYQvFsyi6+MvP3IunU7HhJkzGNavP8aYGJau+5W923dw/UrugFdMZBQz3hpPv4Gv222bnp7G9LHjiLhxE7+AAH7YsJZDe/eRkpz8yLnuZXtj+iSmvDqYuBgjn67+kcM7dhNx9VpOmWsXLjL62T5kpKfTrffzDBj/JnNGj8fdy5M+w4cw6tneoKrMW/MzR3bsJiXp0bMV5zpTdDpemTqe2a8NJ8Fo5N2V33Ni114ir17PKXMz9BJTnn+ZzPQMOvbqSe9xI/nfmEkAZKZnMOnZvppkuV9x3Z/Z4fB/fTyRM4djTjAS8sH33D22l8xbufXmGFgG72df4daU17HeTUbv6Q2A+XYctyYNQDVnoTi7UPaTn0n5Yy+WxDhNoik6HQ0njmD3GxNIM8bRefl8ovYcIulauF05B1cXKvfpQfyZ0Nxt9TqazZrIkalzuB12DScvD1Sz5f63eGg6nY63Z85gyEu2trB8/Rr2bNvBtbxtISqKaePG8/LAgXbbenp5MXjUCPp0fwZVVflp4zp2b9tOclLSI+dSdDraTRrBmsETSDHG0evH+VzbfYiE++rM0dWFen17EJ2nznwqhFDl8Xb88OxA3AJ86fHlHJY+9Sqq1frIuaD49x/9przFR6+PIMFoYvqK7zi5ax9Rdv1HGO8835/M9Azav/gsL4wdzsKxU7h49DjTnu0HgJuXJ3N+W8W5A0c0yQW2ehs/cwbD+72CKSaG79etZt/2nfnqbeZbE3hp4Gt222akpzFj7Fs59bZ0wxoOa3ysmvHuu/Tv25eYmBjWrF/Pju3buXL5ck6Z5198kTt37tChbVue7N6dCRMnMnL4cBITExk4YAAmk4kqVaqwZNkyWjZtqkkusO3TVpNGsGnwBO4a4+jx43xu7j7E7QLaQq2+PTDmaQvpt+/w+8hppMbG412pHN0WzmZ5595aBcO7/wRMc4ZhSTASOHMpqSf2Yo7K/aw5GMrg2f1VYma+hpqajC67zwXwHTyTpPXfkn7uCEoJF1C1aZ8A6HRUHz+K48PfIt0US7PvFxG77yB3r9+0KxazbRcX535ut8zB04MKr7/M4f5DQFVptvRLTHsPYE7+8xOchaHodAyYOoH3XhtGvNHI+yuXcvy+Y/yN0ItMen4VmekZdO7Vk77jRjJvzCQSY+OY2utVzFlZlHB1Ye76FRzfuYfEWG2OVTqdjnHvTGPUy69iijHyzdpV7Nu+kxtXck/OxkRFM2v82/R5fYDdtnGxsQx67kWyMrNwcXXlh982sH/7TuJMJk2yCVFkl78pilJOUZRzRfX+eTL0+Yffo52iKBv/yff4mzlKKooyNM/PpRRFWfVPvue5yDuU8XGltLcrjnodj9UMYvdF+85LAe5mmAFISTfj7+EMwKGr8VQ2eFA10BOAkq5O6HWKZtka1yyPl4frn67fcfQCz7Srj6Io1KsaQtLddEwJSew/dZmWdSpR0sMVL3cXWtapxL6TYZrlKle7BqaIW8TdisKSZeaPzdup0761XZmwoyfISs8A4Prp83gHBgAQVLEcl4+fwmqxkJmWTuSlK9Rs1UyzbADNG/ix/YBtxsXFq0m4uTrg4+WUr5xzCT3PPl6GH9ffsFv+ZMdgVmwMJ8usAnAnWbuz+e3bt2DD+m0AnDlzEQ8PN/z8fPKVO3PmInFxCfmWq6qKm7vtM+Hu4UZsbLwmuWrWrUvEzZtERkRgzspi64ZNtO3cya5MdGQkVy5ewnrfH1Xh128QccP2JSvOZCIhPh5v3/y/08OqUqcWUTcjiImIxJxlZu+m32jWqZ1dmTNH/iAjPR2Ai6fO4mewfd4atmrByQOHSbmTREpSMicPHKZh65aa5CrOdVaxTk2M4RHE3orEkmXm8OZtNOzQ1q7MhaPHycxuo1dOn8Unu87+acV1fwI4V6pJVkwEZlMkmM0kH9iGW2P7evPs9Ax3fvsF613bH6KWpETbCrMZ1WzrKxQHJ1C0/eriU6sqyRFR3I2MwWo2E/77boLbtchXrvbQV7i4ZAWWzMycZYHNG3H78jVuh9kG7jLvJGs2OAJQq559W/h9w0badbFvC1G3Irl88RLqfX/0tWjbhsP7D5B05w7JSUkc3n+Alu3s6/xhGWpV5U5EFEnZdRb2224qFFBnzYe9wrElK7Bk5NZZhXYtCPttN5asLJIiY7gTEYWhVlVNckHx7j8q1K6BMfwWsdnH+CNbtlG/Qxu7Mhfz9B9Xz5wrsP9o1KUDZ/cdyimnhZp163Dr5k2i8tRbm84d7crk1ptqt/z+ekvUuN7q1qvHzRs3iIiIICsri40bNtCpc2e7Mp06d+bX1bZZIVs2b6Z5S1v/deH8eUzZfziHhYXh7OyMk1P+7y0Pyz+7LSRnt4Wrv+2mXAFtodGwVzh1X1uIv3iV1OzvGolXbqAv4YTOUZuTbU4Va2I2RmCJjQSLmdTDW3FtaN/+3dv3IHn7StRUW59rze5zHUqVB52e9HO2QUs1Iw01U7vPmlfNaqTeiiItKhrVbCZm604C2vy9441fs8bEHzmOOSkZc3IK8UeO49e8iWbZKtWpSUx4BKbsY/zBzVtp9BfH+Munz+FjMABgyTJjzrIdqxydnGyzazVUI6eN3sKclcX2jZtofV8bjYmM5GoBfZs5K4uszDzZNDxRLwTIPZXKAf/ooFJhKYry0LPHHrBtSSBnUElV1ShVVZ972Pf6O0zJ6QR6Ouf8bPB0xpScbldmSLtKbDobTZdPdjP8x+NM7FoNgJvxd1EUeOOHY/T68iBLDlzn32RMSCLQzyvn50BfT4wJSRjj7ZcbfL0wxj/6Wd97vA3+JEYbc36+bYzF2+D/p+Vb9nySc/sOA3ArexDJ0bkEbiW9qNKkAd6BBs2yAfh5lyA2PveLRVxCBr7eJfKV69+zPKt/iyAj0/6gFmxwoVZVL+ZNa8hHb9enSnkPzbIFBPgSExOb87PRGEdAgO/f3n7hgmU8+WRHtm1fzoIFs5g9e4E2uQINGKNzp4ybYmIIeIj9UrNuHRwdHbl1M/zBhf8mX0MAcTExOT/HxZjwNfx5ti7P9+DY3gM528ZG593WiK9GgyfFuc58AvyJj8ltowlG41+20XY9n+b0vtxLLRxLOPHuL9/zzs/f0rCjNn/g31Nc9yeAg48/5rjcejPHG3Hwsa83p1IhOAaFUHrW15R+/1tc6zXP3d7XQMjHP1L+y40krluq2SwlAJcAP9KMuX1HqjEOF38/uzLe1SrhEuhP9P6jdss9QoJBhTZfzKbLjwuo1v8FzXIBBBgMxETltgVjdAwBf7FPtdr2QdwD/EjO09+mmOJwN9jXmX+1SngE+nNjn32duRv8SM5T3ynGWNwD7Ld9FMW5//A2BJCQp/9IjDHhHfDn/UebZ5/izL5D+ZY37dqZw5u2apYLwD8wMF+9+T9EvdWoWwcHRydN680QGEh0nmwx0dEYAgPtygQGBhIdFQVguywpORlvb2+7Mo9368b5c+fIzDMw/KjcAvy4m6ct3DXF4XZfW/CtVgn3QH8i7msLeZXv1Jq40CtYs7Q52ab3DsCSkKfPTTCh97bv0x0CQ3AMKoth6jcYpi/Bubatz3UMCkFNTcZv5IcEvruckr1GajqY7+zvR7ox9yRzuimWEv75+wBDhzY0X/41dWfPoER2Oynh70d6ntk1GX+y7cPyCQi47xhv+ssTQ+17Ps2pPMd430ADc9b+xBc7N7H+m+81m6UE4B9owJjnOB0bbcS/EH16QFAgSzevZ+2B3fzw5VcyS0loqqgHlRwURVmuKEqooiirFEVxVRSlo6IoJxVFOasoyreKopQAUBTlhqIo7yiKciJ7XbXs5TMURRl37wUVRTmXPQPJTVGUTYqinM5e9mIB7/8B0FpRlFOKorypKIqzoihLsl//pKIo7QsKrSjKSEVRLiiKckZRlJ+zlzVRFOVQ9nYHFUXJd9rtz8ooivKKoijrFUXZCexQFGWpoijP5NluuaIoT9//en+yrbuiKDvy1NO97T4AKmb/rh/lnSn2d3/vf8Jv56J5qm4wW8e0Y36fhkxZcxarqmKxqpwMv837z9ZhyYCm7Lpo5Mg1bWaO/F/R5MnHCKlZjW3fLgcg9OBRzu09xPjlX/L6R+9w/fQ5rFbtLsP4uyqEuBMU4MLB4/kPpHq9goebI6NmHufrFVeYPKzmv57vz3Tt1p51a7fSuVNfhg6dwvvvj0dRtJsd9yh8/f2Z+clc3nlrIqqqPniDf0D7p56gcq0arP76uyJ5/8IqDnXWsntXKtSqzsZvcu+LNqrjU0x9vj/zx02l39tjCCgTXCTZiuP+VPR6nILKcGv6YGI+m0LAkMnoXG2XS5vjjYSP7cON4T3wbPsEei/tZkE8OJhCvbFDOPXxl/lX6fX41a/J4cmz2THgTYI7tCSgSf1/L1txpSi0GTeEvQXU2X9Bceg/mnd/nPK1qrPl2x/slnv5+VK6SkXOHThcJLn+iq+/P+988hHvFmG9/ZnKlSszfuJEprz99r/7xopC83FDOPQXbcG7Ylmajn6dfe9+9i8GA0Wnx8FQBuP7g4hbMBmf1yajuLqDzoESVeuT+NM8Yqa/jENAadzadP9Xs8XuP8Tep3tzqO/rxB89Tu0ZE//V9/87WmUf4zd8k3tftPgYIxOe6c3ox56hzdNP4qXhjL1HZYqO4eVuT/FC+y50e7YH3n5//8SrEA9S1INKVYEFqqpWB5KAMcB3wIuqqtbGds+nN/KUj1NVtQGwEBjHX3sciFJVta6qqrWA3wooMxHYp6pqPVVVPwWGAWr2e/cGvlcUxflPtquvqmodYEj2sotAa1VV6wPTgPcL2O6vyjQAnlNVtS3wDfAKgKIoXkALYNNf/K55t00HemTXU3vgY8X2l/FE4Gr27/rWfdv/rd9bUZRBiqIcUxTl2OLFi+9fnU+AhzMxSbkzk4xJ6QR42L/smpO36FLTNspet0xJMsxWbqdmYvB0pkFZb7xdnXBx1NOqkj+h0drNCHoQg48nMXF3cn6OiU/C4OOJwdd+uTH+DgZfT83eN9EYi3dQ7lmHkgZ/EvOc0b2nWrNGdB3Un4XDJ+RMtQXYsvh73uv5CvMGjgZFwXQj4pEzde8YzIKZjVgwsxEJtzPx982dmeTnU4L4RPsp0TUqeVKlnAffz23Gx5PrExzoyocT6wG2mU0Hjtl+n0vXkrGqPNJ9lV7s1Z2Vvyxk5S8LiYtNIDAw94yvweCHyfT3ByJ79HiM33+33fD0zOlQSpRwwtvb6wFbPZgpxoghKCjn54DAQEx5zoI9iJu7O/O+/ZoFcz/h3CntbuAJEG804ZfnbK9fYADxxvzZ6rVoyotvvM7MIaNyPm/xRhP+QXm3NRBv1OasV3GuswRTLL55zt77GAwFttGazZvw9OBX+XjoWLs2mmiylY29FUno0ROUq67dZT/FdX8CmBNicfDLrTcHXwPmBPt6M8ebuHtsH1gsmE1RZEWH4xgUYlfGkhhHRsRVXKrX0yxbmikOlzyzzVwNfqTlObvs6OaCV8VydPh6Lk9uWoZv7eq0/mwm3jWqkGqKI/bEWTJvJ2FJzyB6/1G8q1XSLJvJaCSwVG5bMAQFYipgn2q97YOkmOLwyNPfugf4kWLMrTMnNxd8K5Xjua/n8urmZQTWqU73eTMJqFGFFGMcHnnq293gT4pJu7P5xbn/SDSa8MnTf3gHBuT0CXnVaN6Y7oNe4bNh4+z6D4Amj3fixPY9WDS8dxdAbExMvnqLLWS9ffrtVyyc+6nm9WaMiSEoT7bAoCCMeWZlAsTExBBUqhQAer0eDw8PEhNtl3MFBgaycPFi3hozhvBw7WZQQfbMpDxtwS3Aj7tG+/7Dp1I5un89l96blxFQpzqPzZuJX40qOeU7fzqDXVM+JPmWdjfCtiSa0Pvk6XN9ArAk2vfp5gQTaSf2gsWCJTYKc0w4joYQLAlGMsMv2S6ds1pIPb4bp3LaHavSY+NwzjP7xznAn4z7ZvRk3UlCzf7s31q3CY9qtvrKiI3DOSB32xIFbPsoEkym+47xASQUcCys1bwJPQYP4KOhY/K1UYDE2DgiLl+lWkPtTjLExhgx5DlO+wcZiH2IPj3OZOJa2GXqNW6kWTYhinpQKUJV1QPZ//8B6AhcV1X13k1qvgfyXmx+77Elx7FduvZXzgKdFUWZoyhKa1VV7zygPECr7ByoqnoRuAlUKaDcGWC5oigvAebsZV7AL9mzfz4FCpqC8VdltqmqmpD93nuAyoqi+GMb5Fmtqqo536sVsC222xS9ryjKGWA7EAw8aG7k3/q9VVVdrKpqI1VVGw0aNOgBLwk1gz0Jj08lMjGVLIuV389H07aq/RTSIC8Xjly3Rb8Wm0Km2Yq3qxMtKvpxxZhMWpYFs9XK8ZsJVMhzg+9/WofG1Vm7+ySqqnLqUjgers4E+HjSql5l9p++wp2UNO6kpLH/9BVa1aus2fvePBdKQEhpfIOD0Ds60LhbJ87s2m9Xpky1KvSdPoGFw8eTnJCYs1zR6XDzsg1wBVepSHCVSlw4+OdTrf+uDTsiGTrtGEOnHePgiTg6tbQd0KpV9CQ1zUzCHftp5Bt3RtFn9EH6jzvM2PdOEhmTyvgPbF8wD56Io25123T0YIMLjnrlke6rtOLnDbzw/Bu88Pwb7Nx5kO5P2e6xUKdONZJT7hZ476Q/ExMTS9Nmtj9Uy5cvg5OTEwkJtx862z0XzpyhTLmylCpdGgdHR7p0f4K92//eU/kcHB35aNECNv26JufpRFoKO3ue4HIhGEoH4+DoQJsnHufIjj12ZSpUr8bwmVOZOWQUdxJy6/P4/oPUb9kcd08P3D09qN+yOcf3a/NEneJcZ9fOXiCwbAj+waXQOzrQrFtnju+yf/pS2epVeG3G23w8bCxJedqoq6cHDtn3y3Av6UWVBnXsbv75qIrr/gRIv3IBp6AQHAJKgYMDHi07c/cP+3pLOboHl5q2p2nqPLxwDAohyxiJg08AipNtMFvn5oFLtbpkRt3M9x4PK+H8JTxCgnErFYjOwYGQx9oRuTv3kqOslFTWdniOjU/0Y+MT/Yg/G8q+0dNIvBBGzMFjlKxUHr1zCRS9Dv//x96dh8d0/XEcf5+JECSxVCSWEkVRW9qi9iQkQYglqJCzj2UAACAASURBVP6qLW3VGrXUvq+tUrRoqVKtrvYlxJIdpdVF7CJIUmSxCyWWyf39MSOSzASR2yba7+t5PO3ce27mkzNzz5mcOefeF+uQckq/bIf3H6CCq2v6udDKrx2RwY92LuyO3EGjZk1xcHTEwdGRRs2asjtSnzuFJR+OpniFcjiWM9XZs609OBV5v85uX7/BYo8uLPN9nWW+r5N04CiBgyZw7shxTkXu4dnWHtjY2uJYzoXiFcqRfChal1yQv9uP2ENHca74NKXMffxLbbzZl6X9qFDjWXpOHMUnAcMz9fH3NGzrw89B+i59Azhy4CBPZ3iv+fi1ZWcO6m3mok8JWrs+/Y5wejqwfz+ulSpR/umnsbW1pZ2fH6HBwZnKhIaE4N+5MwBtfH3T7/Dm4OjIkmXLmPnhh/z+m753GQQ4fziaYhXK4WA+Fyq39iA+MnP7sdyjCz/4vs4Pvq9z7sBRtg2awIUjxynoUJTWC6ax95OlJEcd1jXX7VNHsHV5GhunsmBTgCINfUwDSBnc/D2CQjVeBMBgX4wCLhW4e/4st08dwVDEAYNDcQDsnqvHnbP69VUpR45R5OlyFC7rgipQABefFpzbmbm/KZhhhk/p5o35K9Y0GHjh518p1bAeBRzsKeBgT6mG9bjwsz536gU4efAILhWfTu/jG/v6WPTxrjWq8c6kMcwaMDRTH1/SuTS2hUx9VVFHB6q/WJeE2Djdsh09cJDyrq6UMZ+jXu3asisk7JGOdXJxpqA5m4OjI3XqvUD8qX/20iLi3y2v7/6WdW7sFeBBc/HuTYkwcj/7XTIPjtkBaJp2XCn1AuALTFNKhQLbgHvzTydgmh31UEqpZcDzmGY++QJtMQ12+QFjlVK1galAuKZpnZRSrkCElR/1oDJ/ZSm7HHgNeAV48yERMx7bHXACXtQ07Y5SKg5znfzTChgMjPKtQb9vfydN0+jgVo4qpe35LDyG58oWw6NaaYb6VGNK4GG++zkOUEzuWAulFI6FbXm9kSvdv9iDQtG0aimaP5v9dQdyauicH9l7KJbL1/6iea8ZDHzFi7tG07d+/2v1Eu4vViPyj2i8+8+mcCFb3g8wfVAp7lCE/l096TLiUwAGdG1B8Qdc8Dun0oxGVkyfw7uL52Iw2LB73SYST8biF9CL+MPHOBC+C/9hAyhUpDDvzJ0GwKXEZBYGjMSmQAGGfWO6xe7N63+xbNRk0oz6fpO5d/9F6tcpybJZDbl1y8jsJcfS9302pR79Jzz4A9u2HYkM7VWdz6fX585djVlfHH1g+ZzYuXMvzZo3YHPQV6Sm3mL8uI/S961ctZCXu5omPQ4Z0gvftp7Y2RUiOOQ71q7ZysKF3/DRrM+ZOGkIr7/uj6aR6fjcMBqNzJo4mfnLl2FjsGHjqlWciomhz5BBHD14iB0hoTxXpzazFi3EsZgjzVq2oPfgQXRr1Qbvtr680KA+xUoUp10XfwAmDxvJ8aP61Fua0cjCKR8wdelCDDYGglev588TJ3nt3f7EHDrML2GRvD1yCHZFijB63iwAzickMaXfIK5fTeHHzxYzd833APzw6edcv6rPbML8XmdfTZvJyCXzMBhsiFy7kbMnTtF5YB9iDx3lj/AdvDp8EHZFCjNo7gwALiQmMWfAe5R7phJvTx5NWloaBoOBjV98reugUn59Pc3hOLdkJuXGzQODDSlhG7l95hQlu/Xh1smj/PXbDm5E7aFI3ZeoMHcFpKVx4ZtPSLt+Fbs6DSjVYzBoGijF5Y3fcfvPkw9/zkekGdP448MFuH/2Acpg4NSGbaSciqdWvx5cOnKchEjLa9rcc+fadaK/XYP3twtA00jYtdfiuku5YTQamTFhMguXf4XBxsCGlas5GRNDvyGDOXLwIJEhodSsU5s5ny/EsVgxmrdsQb8hg+js04aUq1dZPG8B321cD8DiefNJufoo3689nGZMI+KDBXRcaKqzI+u3celkPA379yD58HFiH1Bnl07GE7N9B6+tW4JmNBL+/nxdL26e39uPb6d/xLAv5mEwGNi5LpCEE7F0CuhN7OGjRIXvpNuwgRQqUoQBc02T2S8mJPFJgGmCeamyZSjpUproX//QJU9G9+pt3vIvMRhsCFy1mlMxJ+g9ZBBHDx5kZ0gYNerUZuaiz8z15knvwe/ySitfvNq24fkG9SlWokSmeovRqd6MRiOTJ0zgq+XLMdjYsHrlSmJiYhg8dCgHDxwgNCSElStWMHvuXMIiI7ly5QqDAgIAeKNHDyq6ujLw3XcZ+K7pjrA9X3+dixf1uaSCZkzjpw8W0GbhBxgMBqLXb+PyyXhe7N+DC4ePZxpgyqrmKx1wrFCWF3q/xgu9XwMgqN8oUnX4Qos0I5eWz6L08PlgsOGvHRu5c/YUxfz7cDv2KDf37SD14B7sajekzIyVaGlpXPlxHmnXTW3ElR8+ofSohaAUt+OOcj18Xe4zmWnGNI7NmscL82aiDAbOBm7hr1NxVO79JilHozm/czcVuvlTunkTNKORO1dTODTF1J/eTbnGyaXf0PCrRQCcXLKcu3rdpRTTObps2izGLJmPwWBD+NqNnDlxiq4D+3Dq0FF+D99B9+HvUqhIYQan9/HJfDRgKOUqV+K1Eff7qk1ffsvpGP36KqPRyJxJU5j79RJsDDZsWrWG2JgT9Br8LscOHmJXqOkc/WDhAhyKOdK0pSdvDxrIa63b4VqlMgPHmJalKqX44YsvORWt342GhFB5tebZPKgSCzTWNG2PUmqJ+XEfoIWmaSeUUl8B+zRN+8Q8OFJP07QLSql6wEeapnmYZwu10zTtFfMg0q9AZeA2cEnTtFSlVDugl6ZpHbNkeBGYY142hlJqKFBT07S3lVLPAsHAs5qm3cpwjAGooGlanFLKFtOsnueAZcC3mqatUUpNAnpqmuaqlPIAhmma1k4ptS6bMj3Nv1tAhudxBvYCSZqmZXvv06zHKqUGAVU0TRtovjZSGFAJuAb8oWlaxQz1v0nTtFqP8ntbod383vJ27Xmt8Kvz4PCavI5hXc3O9K1peUeQ/GDR4d206hGe1zEsbPvadHmvOrV98jiJpQMHTd8U16uk31IXvfwWe4K2z9bN6xhWbT6+P1/WGZjqrXuN+nkdw8J3R03fwubH13Tz8f0AxHTJf/VWdbWp3lY87/2Qkv+8bvuCcXOtnNcxrIqKO8kndfNfnQEM2h+cL9uP32JPANDzOf1uVa+Xr46Y7uDVoJJ+s6r1sjc2hsoVK+Z1DKtOxsezOJ+eB733B/Pn6/lv6VKFb0xfLG5v8I9dmvWR+ew1fcZ9pUb+q7cfj5rqrfEz+i0x1MvuU9FgWgUjxAPl9fK3aGCAUuooUALTkrA3MS0ROwikAYse8jPWACWVUoeBAODesGttYK9SKgqYCEyzcuwBwGi+mPcQ4DPAYH7uFZgGfbIOrNgA35rL7APmaZp2BZgJfKCU2kf2M8AepQwAmqYlA0cxDVblxHdAPXO+NzBdxwlN0y4CP5kvWj4ryzGP8nsLIYQQQgghhBAiDynTDc3O3bvxlpX9Sik1Tyl1wnxzsRcy7OuhlIox/+uhR548W/6maVocUN3KrlBMS82ylnfN8P+/AR7m/78JWJvGEIdpuduDMtwBWmTZ/MClZuZjmlrZvofM1yEaZ94egXmZ2wPKfIXpAuXplFJFgKrADw/Jk+lYTdMuAI2yKftqlk21zNtTefgSOyGEEEIIIYQQQuStr4AFmC6ZY00bTGMJVYGXMN3o7CWlVElME27qYboU0e9KqY2apllexC8H8nqmkrBCKeWFaZbS/Ee8wLgQQgghhBBCCCH+5TRN2wE86I5EHYDlmsnPQHGlVBmgFeabfJkHkoKB1rnNk9cX6hZWaJoWAmRaZK6UagV8mKVorKZpnf6xYEIIIYQQQgghxJPu8Jq8ubj0Q6haXfoAGW+1vljTtMU5/DHlgNMZHp8xb8tue67IoNITQtO0bTxkOZ8QQgghhBBCCCGeTOYBpJwOIuUpWf4mhBBCCCGEEEII8e9wFng6w+Py5m3Zbc8VGVQSQgghhBBCCCGE+HfYCLxhvgtcQ+CqpmmJmFY++SilSiilSmC64VmuV0PJ8jchhBBCCCGEEEKIJ4BS6gfAAyillDqD6Y5utgCapi0CggBf4ARwA/Od3jVNu6SUmgr8av5RUzRNe9AFvx+JDCoJIYQQQgghhBBCPAE0TfvfQ/ZrwIBs9n0JfKlnHln+JoQQQgghhBBCCCFyTGYqCSGEEEIIIYQQ4j9DMxrzOoJVKq8DPAaZqSSEEEIIIYQQQgghckwGlYQQQgghhBBCCCFEjsnyNyGEEEIIIYQQQvx3GO/mdYJ/DWW6MLgQOSZvHCGEEEIIIYT493oSL/HzSLR93+fLv2fV868+cXUuy9+EEEIIIYQQQgghRI7J8jfx2JpXrpHXESzsOHmUvjUb53UMqxYd3g2H1+R1DOtqdqaN78K8TmFhS1A/AKpWqZvHSSzFnNgPQOWKFfM4iaWT8fFUe7Z+XsewKvr4r1SuXCuvY1h18uQhvKrUzOsYFkJOHAagekXXvA1ixbH4OABqV3wmb4NYcTD+FADP5MNz9FR8PK75MBdAXHx8vmzXwNS25cd6i4uPB8A1H54HcebzwLVipTxOYikuPpbKzzyX1zGsOnnqSL6sMzDVW4NKVfM6hoW9sTEAuLlWzuMklqLiTgLwXD58TY/ExwJQKR+2bbHmtk2Ih5GZSkIIIYQQQgghhBAix2RQSQghhBBCCCGEEELkmCx/E0IIIYQQQgghxH+GlpY/7/72xF2lG5mpJIQQQgghhBBCCCEegwwqCSGEEEIIIYQQQogck+VvQgghhBBCCCGE+O8wGvM6wb+GzFQSQgghhBBCCCGEEDkmg0pCCCGEEEIIIYQQIsdk+ZsQQgghhBBCCCH+MzRj/rz725NIZioJIYQQQgghhBBCiByTQSUhhBBCCCGEEEIIkWMyqCSEEEIIIYQQQgghckwGlYQQQgghhBBCCCFEjsmgkvhbNWjelG+Dg/g+bCvd+/Sy2F+3fj2WbFhDWPRB3Fv7ZNoXfvwQSwPXsjRwLR98/qnu2Z5r+hKTNv3AlC0radXrdYv9LXu8wsSN3zFu7XIGL51HyTIu6fs6De3P+PXfMn79t7zYuqWuuUYvWEOjntNpN+hjq/s1TWPakkC8+3+E35B5HD55Nn3fuvA/8BkwG58Bs1kX/oeuue7p26cJS5e8ymefvkzlyqWslpk6pS2fLujKooXdCAhojsGgABg1ypsF87uyYH5XvlrWnQXzu+qabfz4kYSEBhK4aRXP1axutcyQoQHs2LmNqP17Mm0vWNCWjz+ZSUhoIKtXf0u5cmV1y9Xc3Z3gsDDCIiPp06+fxf6CBQsyb8ECwiIjWbN+PeXKlwegSdOmbNi0iaBt29iwaRONGjfWLVNGY8e9x/bgtWzc+D3PPVfNapnBQ/oREbmJP/ZFZtre881X2Ry0go0bv+errz+jbFkXq8c/rgkTRhMWFsTmzWupWbOG1TK1aj1HUNBawsKCmDBhdPr26tWrsWrVtwQFrWXx4gXY2xfVJVP95k1Ztn0TX4du4RUr7Vrt+i+ycMMqth3bT7Ms7do7I95jyZYNLN26kQHjR1scm1tN3d3ZEhbKtsgI3rHyXrMtWJA5CxawLTKCFRneawDPVq/Oj+vWEhi8nY3btlKwUCFdszVxb87GsBA2R4bxdr++VrPNWjCPzZFhfLd+LWXLlwOgQIECTJs9i7XbtrAhdDtv97f8vXKrubs7IeZztO9DztG1Geqtqfkc3fI3nqPu7u6EhoURERlJv2yyLViwgIjISNavX0/5DK9p//79iYiMJDQsjObNm+ua63HbtTp16xIYFERgUBCbtmzBp1UrXXPB49dZ8eLF+eHHHzl85AiTp0zRPdc9EydNICIyjC1bg6hZq6bVMrVq1WLrti1ERIYxcdKE9O1D3xvClq1BBAVtYvk3X1O6dGmds00kIjKcLVu3PEK2cCZOmpi+3dfXl+3B2zgVe5LatWvrmgtgwoQxhIVtZXPQugf3B1vWExa2lQkTxqRvr1GjOqvX/EDgprWs37CSOnX0zZebehs9ZjShoSFs2bqFzz9fhKOjgy6ZGjZvxqrQbawJD+GNvr0t9j/foD7LA9ezO+YoLdq0Tt9etUYNlq5ZyY/bgvhuSyBebX11yZNRY/fmrA8NZmNEGG/262Ox/4UG9flh0wZ+OxGNV4ZsAH6d/dkYHsrG8FD8Ovvrnq2pe3M2h4WyNTKcXtn0VbMXzGdrZDg/rl+X3le169iBtUGb0/8dij1J9eesv08fV3Nz2xb+gL5q/oIFhEdGsi5Du1u8eHG+//FHDv3NbZv475JBJfG3MRgMDJk0nuFv9eaNVn609GtLxSqVM5VJTkjg/RGjCQncbHH8rdRU3vbz520/f0b3GaBrNmUw8L+xw1jQ9z0mt3+V+r5elKnsmqnM6aPHef/lt5jm/wZ/bA/H/73+ANRq3pgKNZ5leucefPi/Xni/+Sp2RYvols3f8wWWjO+Z7f4dfxwnLvEi2z99j6l9OzJp8QYArly7wYKVoayc0Y9VH/ZnwcpQrl6/qVsugPr1KlC2XHHe7vU98+ZFEhBg/Y+UDz7YzoCAVfTtt4JixQrTrKnpdZ8xI5iAgasIGLiKXT+dYvfuU7plc3dvSkXXCni19GP8uClMmTzOarnwsEg6+3e32N6laydSrqbg1dKPZcu+ZfiIwbrkMhgMTJo6lbd69KCVlxd+7dtTpWrVTGW6duvG1atXaeHuzrKlSxk5ahQAly9f5p233sK3VSuGDx3KR3Pn6pIpo+bujXF1rYCPtz/jx7/PpMmjrJYLD9tJ1y49LLYfPRJNZ/83aN/+VbZtDWX4iHd1y+bh0QxX1wq0aOHL2LGTmDJlvNVyU6aMZ8yYSbRo4YurawXc3ZsC8MEHk5k162N8ff3Zvj2Ud955M9eZDAYDAyeNZczbfXm7dXs82/lSIUu7di4hkZkjxhKWpV177nk3ar74PL3bduId345Uq1OLui/Vz3WmjNkmTJ3COz160s7Lm7bt21O5apVMZbp0e5mUq1dp5e7B10uX8p75vWZjY8Osj+cyccxY/Lx9eKPbK9y9c0fXbGOnTqZ/jzfp4NWKNu39eCZLNv9uL5NyNYW27i34ZumXDBk1EgCftr4ULFgQ/1Zt6Na2PV1f/V/6h3i9sk2eOpU3H3COvtytGynmc/TLDOfoJfM52sZ8js7W+Rw1GAxMmTqVnj164O3lRftssl29ehUPd3eWLl3KKHO2KlWr4ufnh4+3Nz169GDqtGkYDPp87MtNu3Y8OpqOfn74+fryZo8eTHv/fWxsbHTJdS/b49bZrVu3mP3RR7w/fbpuebLy8PSgUiVXPNxbMGb0GKZPm2q13LTpUxk9ajQe7i1M5T3cAVj8+Re0ae2Lr287wkLDGDRIxzY3PZsnY0aPZvq0adlkm2bO5pkpW/TxaPr26cfeX/bqlik9m0dzXF0r0qJFa8aOmciUqROtlpsydQJjRk+gRYvWuLpWxN29GQAjR73H/Hmf4dfOn4/nLmDkqPf0y5bLetu1cxc+Pq1o07oNsbGx9O/fP9eZDAYDI6ZMYlDPXnTzaUOr9u2oVCVzm5t0NoEpw0eyfWNgpu23Um8y6b3hvNLKl0E93mbohLHYO+gz0HUv2+gpkxjQ8y38vVvRur0fz2TNlpDAhGEj2LIhczbHYsXoM2ggr3X0p3uHTvQZNBAHR0dds42bOoU+PXri5+WDr5V+tLO5H23t7pmpH920fgP+vm3x923LyCFDOXP6NMeOHNU12722zechbZunlbZtzt/ctj2RjHfz578n0BM5qKSUmqSUGvaA/U5KqV+UUvuUUs3+hufvqZRaoPfP/acopVyVUq/+3c9To24dzsb/SeLpM9y9c4fQTUE09WqRqUzS2QRORR9HS0v7u+Nk4lr7Oc6dPsOFMwkY79zl16AQ6nhmfqsc3/sHd1JvARC7/zAlXEzfBpap7ErM71GkGY3cvpnK2egT1GzaULds9WtWophD9oNUoXuP0NHjeZRSuFWrQMpfqZy7lMKuqBia1KlCcYciFLMvTJM6Vdi577huuQAaNnQlNDQagGPRydgXLUSJEpZZb9w0/TFqY2PAtoABDc2iTPNmVYiIPKFbNi8vT9avM334iIo6iIOjA05OljOpoqIOcv78BavHr123EYCtW4Np1KiBLrnqurkRHxfH6dOnuXPnDpsCA/Hy9s783N7erF2zBoAtQUE0atIEgCOHD3Pu3DkAjh8/jp2dHQULFtQl1z0tW7qzfp1p8GP//kM4Ojjg5PSURbn9+w9x/vxFi+2//PI7qebzJCrqIC7O+n1r7uXlyTrzaxIVdQBHK6+pk1Mp7O2LEhV1AIB16zbi7W1qZypVqsjevb8B8NNPe2jVKnO9P45qdWuTEH86vV2L2BxEEy/PTGWSzyYQG32ctLTM73sNjYKFClLA1hbbggWxKVCAyxcs6/Rx1XFz48+4eM6Y32tBgYG09M48U6qltw/rze+1bUFBNGpimlnTpHkzoo8dI/qo6QPwlStXSNOxXa7tVjc92907d9gSuAnPLOeBp7cXG83ZgoO28JI5m6ZpFC5SBBsbGwrZ2XHnzh2uX7uuWzZr56i3lXN0TYZztPE/dI66ZckWGBiIT5ZsPhmyBWXI5uPtTWBgILdv3+bM6dPEx8Xh5uamS67ctGupqakYjUYAChUqhKZZ9g+5kZs6u3nzJr/99hu3bt3SNVPm5/Zi7Zp1AOzbF4WDoyNOpZ0ylXEq7YSDvT379kUBsHbNOnx8TL/D9ev33/tFihTRtf58vL1Zu2ZtDrOtxcfH1M6cPHGSU6f0+7IoIy+vFqxbZ/oS7cH9gX2G/mAD3t6m2eSapqXPVnVwsE8/b/WQ23rbuXNn+jmxb98+XMrkfsZvzbp1OBMfT4K5zd0euJnm3pln1ieePcuJY9EWfdWfsXGcjosH4MK5c1y+eJEST5XMdaZ7arnV5XR8PGfN2bYFbsLDxytTmYQzZ4k5Fo2mZe6HGrs35+ddP5Fy9SrXUlL4eddPNDEPzukhY191584dtgQG0iJL+9HC2zu9H90etIWGTSxnqLZt78eWwE265QLLdjfQSl/lnU1f9U+0beK/7YkcVHoELYGDmqY9r2nazkc5QCllk+Vxgb8lWf7gCvztg0qlnEtzLjEp/fH5pGScnJ0f+fiChQqxeP0qFq7+kabe+i4xK+HsxOXE5PTHV5LPU8LZKdvyTTq349DOnwE4Yx5EsrUrRNHixXi2wQuUcHn03yu3ki+l4FKqWPpjl6ccSb6UQvLFzNudnypG8sUUXZ/7qVJFuXD+/gfaCxeuU6qU9SVF06a25Yfve3Lj5h127cr8IbNWrTJcvnKDhISrumVzdi5NYobXNCkpGeccDHA4O5cmyfx+NRqNXL9+nRIliuc+l4sLiYmJ93MlJuLskvkDo4uLC4kJCenPfe3aNUqUKJGpTGtfXw4fOsTt27dznSlTPmcnkpIy1FvyuRzVW0ZdunZgx47dekXD2dmZhIT7bUhSUjIuWc41FxfnTPkTE5NxNrczMTEn0weY2rTxoYwOH9RLOTtzLsPreT4pmacesV07um8/UT/vZeWeCFbuieC3nT/x50n9/gBzdnEmMTEh/bHpvZY5W2kXZ4v3WvESJXCt9AyaprFk+XLWbN7E230slyPkRmkXF5Iy1FtyNtmSEhLTs103ZwsO2sLNGzcI+/Vntu/ZxdeLvyDlqn5th0uWczTRyjnq/AjnaJu/4Rx1dnEh4RGyJVjJZnFsUpLFsbnJlZt2ra6bG1uCgwnato3xY8em/0GtV7bHrbN/gum5M9RdUhIuzlnqztmFxKT7bV9iYubXbtjw99i9ZxcdOrZnzhz9Zsc5uzhnyZaYTbaM9ZtkcS7/HZxdSpOQmMP+ICkZZ/MXgtOmzmDU6OHs2hXKqNHDmTXT+iUGHi+bfvXW9eWXiYiItNieU04uLiRnOA/OJSXh9Biv03N161DAtiBn4v/MdaZ7Sjvfb+sBkhOTKP2I/Whujn0Uzln6qqTEJEpbtB+Z+6p7/WhGrf3asXnDRt1ygWVflZSYiMtj9FXiPi3tbr789yR6YgaVlFJjlVLHlVK7gGrmbZWVUluVUr8rpXYqpaorpdyAmUAHpVSUUqqwUspHKbVHKfWHUmqVUsrefHycUupDpdQfQFelVIRS6mOl1G/AIKWUX4YZTyFKqUdqtZRSXymlFimlfjNnbmfe7mrO+Yf5X2Pz9uVKqY4Zjv9OKdXBPCNqvVIq2Jw1QCk11JznZ6VUyezqIUOOeUqp3UqpU0qpLuanmAE0M9fPEKVUTaXUXvPjA0qpzHMp7+fqbf6dflu8eHGOX8Ocerl5S3p37MqUIcMYOG40ZSs8/bc/pzUN2rWiQs3qBH/5HQBHd+/l0I49jPjuc3rNmkzs/kOkpen3gfjfYtz4zXR/7WtsbW2oWzfzUhUP96pERug3S+nfrmrVqowYNYpxo/W/Bo9e2rdvQ61aNViy5Ju8jpJu5MjxdO/+Chs2rKBo0aLc0XE51+MoW7ECFSs/wytNW9KtSQueb/QSteq9kKeZ7ilQwIYX69dn2KBBdO/cBe/Wrax++5oXarnVJS0tjZYNGtGmqTtvvNOL8k/nTX+QnXvn6Nh8fI7mJ/ujomjj7U2n9u3p27+/7tfv+rf7aNZsGjdqyob1G+nR4428jvNE6N79FaZNm0HTpi2ZPu1DZnxofdlhXhoQMADj3busX7c+r6MA8JSTE5PnzGLq8FG6zyj8N6vj5kbqzZucOK7vagEh8rMnYlBJKfUi8ArgBvgC9y5CsRgYqGnai8Aw4DNN06KACcAKTdPcgKLAOMBL07QXgN+AoRl+/EVN017QNO1H8+OCmqbV0zRtNrALR79pEwAAIABJREFUaKhp2vPAj8CIHMR2BRoAbYFFSik74Bzgbc7RDZhnLrsU6Gn+XYsBjYF7F+OoBfibf+fpwA1znj3AvU8SFvWQIUcZoCnQDtNgEsAoYKemaW6aps0F+gKfmOurHnDG2i+kadpic93U693b8oJ/WV1IPkfpDDMDnFycOZ+c/IAjLI8HSDx9hqhf9lJVx4vdXU4+T4ky98cIizs7cTn5vEW56g3r0aZ3DxYGjMx0fZEti79meueefPLOYFCKc3Gndcv2MM4lHUm6cP9b+qSLKTiXdMT5qczbky9exfmp3K8zb9euZvrFtS9dukEpJ/v0faVK2XPhwl/ZHnvnjpGf98TSsKFr+jaDQdG4cSV27Mj9oFL317qxceMKNm5cwbnz5ymT4TV1cXEmOfnRp7cnJ59Ln3JuY2ODvb09ly9fyXXG5KQkypQpcz9XmTIkZ/gGGkzfVJcpWzb9uR0cHLh8+bKpvIsLCxcvZvjQofz5pz7fFL7avSvrN3zH+g3fcf78xUzf9ro4l85RvQE0atyAvv3epF/f93I9cPPaa68QGLiawMDVnD9/PtOFv7N+Cw2W31aXKeNMsrmdOXUqlp49e9OhQzcCA4P488/cn6cXkpMpneH1dHJx5uIjtmtNvVtyJOoAqTdukHrjBnsjd/Hc8/osRwJITkqmTJn7F5g3vdcyZzuXlGzxXrty+TJJiUn89sterly+TGpqKpHh4TxXq5Zu2c4lJeGSod6cs8nmUrZMejZ7c7a2HdqzKyKSu3fvcuniRaJ+/52aOl5kNynLOVrGyjma/JBzdNHixQzT8RzN+LxlHyFbWSvZLI51cbE4Nje5ctOu3XPyxAlu3LhBtWef1SXXvWyPW2d/l9ffeJ2goE0EBW3i3LlzlC2boe5cXEhKzlJ3yUmUyTADoUwZ66/d+vUbaN0mdxc6N2XbTFDQZs6dO58lW5lssmWsXxeLc1kvr73+PwI3rSVw01rOnztP2TI57A9cnElOMvVn/p07sG1rMABBQVtzfaFuveutS5fOtGzZgkGD9Lme4/mkJJwznAelXVw4n4PXqai9PXO//IKFH83lUFSULpnuOZd8v60HcC7jwrlH7Edzc+yjSM7SV7mUceGcRfuRua+614/e08avHUFZrlOlh6x9lUuZMiTloK8S4u/0RAwqAc2AdZqm3dA0LQXYCNhhGnxZpZSKAj7HNICSVUPgOeAnc7keQMUM+1dkKZ/xcXlgm1LqIDAcsH47B+tWapqWpmlaDHAKqA7YAl+Yf94qcy40TYsEqiqlnID/AWs0Tbs39y1c07RrmqadB64C91qpg4CredbVg+phvTnHESC7mVZ7gDFKqZFARU3TdLm687EDBynvWpEy5ctRwNaWlu18+Sk0/JGOtXd0xLagLQDFShSn9osvEHfipB6xAIg/dJTSFcrzVLky2NgWoL6vFwfCd2Uq83T1Z+k+cSQLA0Zw7dL9BlkZDBQtZhqsKfdsZco9W4Uju/W/KGV2WtSvwfqIfWiaRlT0nzgUsaN0SUeaulVl1/4TXL1+k6vXb7Jr/wmaulmddJYjmzYdTr+49p49sbRsabo7WPVqzvz11y0uX76RqbydXYH06ywZDIr6DSpy5vT9wZnnny/PmTNXuHAx+8GoR/Xdtyto374b7dt3IyQ4nI6d/ABwc6vNtWvXrV47KTuhoRH4d2oPQOvW3vz8sz6v6YH9+3GtVInyTz+Nra0t7fz8CA0OzvzcISH4d+4MmJbQ7NltWkLm4OjIkmXLmPnhh/z+22+65AH4/rtVdOzQnY4duhMSEkHHTm0BqFu3FteuX7d67aTs1KjxLFOmjKZf3/e4dCn3H1y+/fZH/Py64OfXhe3bw+hkfk3c3OpYfU3Pn7/A9et/4eZWB4BOndoTEmJqZ54yXwNCKUVAQB++/35lrvNFHzhEuYoVcDG3ax5tfdn9iO3auYRE6jaoh8HGBpsCBajToJ6uy98O7t9PxUqulHu6PLa2tvj6+RGW5b0WFhJMR/N7rZWvLz+b32u7IiOpWr0adnZ22NjYUP+llzgZE6NbtkP7D6RnK2BrSxu/dkQEh2QqExESSntzNm/fNuzdbbpDY+LZBF4y31WtcOHC1HnejVgd683aORpi5RztnM05uvRvOEfv2Z8lm5+fH8FZsgVnyObr68tuc7bg4GD8/PwoWLAg5Z9+GtdKlYjS6Y/D3LRr5Z9+Ov3C3GXLleOZypU5c8bqd1mPJTd19nf5Zvk3+Pq2w9e3Hdu3B+PfuRMAzz/vxrVr1zh/LvOXWufPnefa9es8bx509u/cie3m88XV1TW9nLePFydzeS6YsrXF17ct27dvx998N61Hz+bP9iz1q5dvv/kBv3b++LXzZ3twKJ06dQDu9QfXsukPrmfoDzoQEhIGmL44esl8Y4TGjRsSb75m0OPSs97c3ZvTp28fer39DqmpqbnKdc+RAwd52tWVsuVNba6PX1t2hoQ+0rEFbG2ZuehTgtauJ2zLVl3yZHR4/wEqZMjWyq8dkcGPlm135A4aNWuKg6MjDo6ONGrWlN2RO3TLlrGvsrW1pY2fH+FZ+qrwkJD0ftTHtw2/7L5/N2GlFK3btf1bBpWytrt+VvqqkGz6KpENozF//nsCPcnXDTIAV8yzax5EAcGapv0vm/1Z/7LN+Hg+MEfTtI1KKQ9gUg7yZZ0nqgFDgGSgLqb8GXuO5cBrmGZkZbxFUcYrqqVleJyG6fV7WD1kPF5ZDapp3yulfsE0qypIKdVH07SwbH7eIzMajXw8eRoffbUEg8FA0Oq1xMWc4K3BA4k+eIifQsOpXrsW0xbOx6GYI41bePLWoIH0aOOHa5VnGDZtMmlpaRgMBr5b9AXxOg4qpRmNrJg+h3cXz8VgsGH3uk0knozFL6AX8YePcSB8F/7DBlCoSGHemWu6i8elxGQWBozEpkABhn2zEICb1/9i2ajJpOnYAAyd8yN7D8Vy+dpfNO81g4GveHHX/PP/1+ol3F+sRuQf0Xj3n03hQra8H2DqPIo7FKF/V0+6jPgUgAFdW1D8ARf8fhy//von9etX5Mulr5J66y5z597/Y3rB/K4EDFyFnZ0tkya2wdbWBqUUBw6cZXPQ4fRy7s2rEBGp3x+r90RE7MTdoymhYZu4eTOVUSPv34J540bT4BPAiBGD8WvvS+HCduzctZ2VK9cyf94iVq1cx0ezpxMSGsiVKykMGZyTiYnZMxqNTJ4wga+WL8dgY8PqlSuJiYlh8NChHDxwgNCQEFauWMHsuXMJi4zkypUrDAoIAOCNHj2o6OrKwHffZeC7pjv89Hz9dS5e1O/izpERP+Hu3oTgkHXcvJnKmNH3bzW7fsN3dOxgulPe8OEDaefXisKF7YjcsYlVqzawYP4XjBg5iCJFCvPJPNNEyMSEJPr10+euOhERO/DwaEZY2BZSU28ycuT9u78FBq7Gz8+0onfixGnMnDmNQoXsiIzcSUSE6VJ6fn6+vPbaKwBs2xbC6tXrcp0pzWhk/uTpzFi2GIONga2r1hEfc5IegwI4fugwe0LDqVa7FpMWfoK9oyONWnjQY9AAerXpwI6t23Fr9BJfbDbl+HXHLn4Oi8h1pnuMRiNTJ0xgqfm9tmblSk7ExDBw6BAOHThIeEgIq1esZObcOWyLjODqlSsMDRgIQEpKCl8tWcKqwI1omsaO8HAiwx5tsOxRs70/YRKLln+NjY2BdStXcTImhgFDB3P4wEEiQkJZu2IFH8ydw+bIMK5eucqIANN7/ofl3zDto5msC96KUor1q1Zz/NgxXbNNmjCBr831tsrKObpixQrmmM/Rq1eu8O4DztEeOp6jRqORCRMmsHz5cmxsbFhpzjbEnC3E3H7MmTuXCHP7MdCcLSYmhk2bNxMcEsLdu3eZMH68bhdfz027Vq9ePfr078/dO3dI0zQmjhun6zfpuakzgF27dmHv4ICtrS0+Pj68/vrrnNBxgDU8LBxPTw8id4Rz82Yqw4fd72uCgjbh69sOgPHjJvDR7JnY2dkRERFJRHgEACNHjeCZZyqRlqZx9uxZxo6xfqfTx8/mSeSOCG7evJkl22Z8fduas43no9mzLLK1auXDpMmTKFmyJF8u+5KjR47wxhuWdw19HBHhO/DwaE5Y+FZSU1MZOWJs+r7ATWvxa2ca1Jk4YSozZ75PIbtC5v7ANOAwZsxEJowfjU0BG27dus3YsdbvHvc4cltvk6dMpmDBgnz7rWn5+L59+xg7Nnevq9FoZNbEycxb/iUGgw2Bq1ZzKuYEvYcM4ujBg+wMCaNGndrMXPQZjsUcadbSk96D3+WVVr54tW3D8w3qU6xECdp1MdXr5GEjiTmqz53MjEYjMyZMZuHyrzDYGNiwcjUnY2LoN2QwRw4eJDIklJp1ajPn84U4FitG85Yt6DdkEJ192pBy9SqL5y3gu42mJYKL583X9Rp7RqOR6RMm8sXy5RjMfdWJmBgChg7hsLkfXbNiBR/OncvWyHCuXLnKMHM/ClDvpQYkJSRy5rT+KxiMRiMTzW1bxr4qY9u2YsUK5s6dS7i5r8rYtu3M0LZ5+/jwhs5tm/hvU0/CGlml1AvAV8BLmAZS/sA0I8cfmKtp2iqllALqaJq2XynVE6inaVqAefbP70ALTdNOKKWKAuU0TTuulIozl7tgfp4IYJimab+ZH+8Demma9rtSahlQSdM0j4w/P5u8XwGlMS05qwREAlWAD4AzmqbNVkq9CXypaZoyH+MM7AWSNE17ybwt0/NkzJvld9ydTT18BWzSNG21+fjrmqbZm5cTztE0zd28/RkgVtM0TSn1kTnjw65gqDWvrN9yNL3sOHmUvjXzx3VAslp0eDccXpPXMayr2Zk2vgvzOoWFLUH9AKhapW4eJ7EUc2I/AJUrVnxIyX/eyfh4qj2r363q9RR9/FcqV9ZvWZWeTp48hFeVnExI/WeEnDANylav6Jq3Qaw4Fh8HQO2Kz+RtECsOxptmcDyTD8/RU/HxuObDXABx8fH5sl0DU9uWH+stLt4068U1H54HcebzwLVipTxOYikuPpbKzzyX1zGsOnnqSL6sMzDVW4NKuZ+Jrre9saYBCjfXynmcxFJUnOmL6efy4Wt6JD4WgEr5sG2LNbVtVicl/BvcDf84Xw6EFPAc/MTV+ROx/E3TtD8wLUvbD2wBfjXv6g68rZTaDxwGOlg59jym6xX9oJQ6gGmpV/VHfOpJmJaV/Q48+joakz8xDRJtAfpqmpaK6VpHPcx5q5NhVpSmacnAUWBZDp8HHqEesjgAGJVS+5VSQ4CXgUPm5XO1MM2aEkIIIYQQQgghhMjWE7P8TdO06ZguVJ1Vaytlv8I0s+ne4zDuX9w7YznXLI89sjzeAGx42M/PRoimaX2zHBcD1MmwaeS9/1FKFQGqAj884PdwtbZP07RYrNdDzyyP7c3/vQO0yFJ8BkIIIYQQQgghhBCP6ImYqfRvp5TywjRLab6mafotDBZCCCGEEEIIIYT4mzwxM5XyI6XUWKBrls2rss4QehhN00LIfEc6IYQQQgghhBBC/A00492HFxKPRAaVcuEBS/KEEEIIIYQQQggh/tVk+ZsQQgghhBBCCCGEyDGZqSSEEEIIIYQQQoj/Dln+phuZqSSEEEIIIYQQQgghckwGlYQQQgghhBBCCCFEjsnyNyGEEEIIIYQQQvxnaGnGvI7wryEzlYQQQgghhBBCCCFEjsmgkhBCCCGEEEIIIYTIMRlUEkIIIYQQQgghhBA5JoNKQgghhBBCCCGEECLHlKZpeZ1BPJnkjSOEEEIIIYQQ/14qrwP8XW5vmZ4v/54t2GbsE1fncvc3IYQQQgghhBBC/Gdoxrt5HeFfQwaVxGPzajEpryNYCAmbRKse4Xkdw6ptX3vSxndhXsewaktQPzi8Jq9jWKrZGYDnKlbK4yCWjsTHAvBS/VfzOImlX379HteKFfM6hlVx8fFUcq2a1zGsio2LyZf1FhcfD4BrxWfyOImluPhTAFStUjePk1iKObEfANd82H7Excfmy1xgyubj9UFex7Bqe8jofNl+xMbFAPn3cxHAM5Vq5G0QK07FHqVN1dp5HcOqLTEHeb5u27yOYdW+/ZupU9snr2NYOHBwO5C/+4P83H7kx/fbvv2b8zqCeELINZWEEEIIIYQQQgghRI7JTCUhhBBCCCGEEEL8d8jyN93ITCUhhBBCCCGEEEIIkWMyqCSEEEIIIYQQQgghckwGlYQQQgghhBBCCCFEjsmgkhBCCCGEEEIIIYTIMRlUEkIIIYQQQgghhBA5Jnd/E0IIIYQQQgghxH+GlmbM6wj/GjJTSQghhBBCCCGEEELkmAwqCSGEEEIIIYQQQogck+VvQgghhBBCCCGE+O8w3s3rBP8aMlNJCCGEEEIIIYQQQuSYDCoJIYQQQgghhBBCiByT5W/ibzcgoA0NXqrKrdQ7zJy5nhMxiRZlPpjxGiWfssfGxsDBA38yf95m0tI0er7pSePG1UnTNK5c+YtZH67n4sVrumXr170qDeqWJPV2GrO/OMqJ+OvZlp00uDZlnOzoM/bX9G3tvcrRvmU50jT4JeoiS1ee1CVX3z5NqF+/Irdu3WX2nDBOnrxgUWbqlLaULFkEGxsDhw4n8tlnO0lL0xg1ypvy5YoDYG9fkOvXbxMwcJUuuUYvWEPEb8d4qlhRNn0y2GK/pmlMX7qJyD+isStUkBkBnalZuRwA68L/YOHqcAD6dfGkk+cLumS6p6l7c0ZPnIiNjYHVP65gycJFmfbbFizIjDmzqVm7FlcuX2FoQAAJZ87SrmMH3urdO73cszWq06VtO44dOaprvqHvvUHjJm6kpt5m6uRFREfHZdpfqFBBPpgxiHLlnUlLS2Pnzj/4bMGPAHTyb0mXrt6kpaVx88YtPnh/CbGxZ3XJ5e7uzoSJE7GxsWHFjz+ycOHCTPsLFizInDlzqFW7NlcuXyYgIIAzZ84A0L9/f17u1g2j0cjkSZPYsWOHLpkymjhxPB6e7qTevMmwYSM5fPiIRZlatWoy66MPsbOzIyI8ksmTpwIwaPBAXnnlZS5dugzArJmziYiI1CfXpEl4enpy8+ZNhg0bxuFDh6zkqsVHs2djZ2dHeHg4kydNAqBYsWIs+PRTypcvz5kzZxjQvz8pKSm65DJlm4Cnpwc3b6YybNhwDh86nE22WdjZFSI8PILJk6YAMPS9IXh7e6OlpXHh4kWGvTecc+fO6ZZt/PiRuHs05ebNVEaOHM+Rw8csygwZGkCnTn44OjriVrdR+vb69V9g7LgRVKtWlSGDR7J1a4huuQAmTpqYod6GPaTe7Mz1NhkAX19fBg8ZRJUqVejQviMHDx7MN9lGjxmNV8uW3L5zhz/j4xk+fDgpKfr1o/0HeFO/QWVu3brDRzM3ceJEskWZ6R90o2TJoqb+6uBpFszfTlqalr6/c5cG9Onbki7+H5OSclOXXPm17YDcfS7q3cebho2qcfeOkYTES8z6cAN//ZWqW7YJE8fg4dGc1NRUhg8bk029PcesWR9QyK4QERE7mDL5fQDmzZ/DM8+4AuDo6EhKSgrt2vrrkuvFZk3oO24kBhsbtq5cy6rFSzNnqv8ifcaOoFK1Z5kxZAS7tgan73tr+BDqezQD4IdPP2dH0DZdMmU0YmQfmjStR2rqLSaOn8uxY5k/D9rZFWLmrNGUf9qFtLQ0dkTuZd4nXwFga1uAqdPfo0aNKly9eo2RI2aQmKBPuztyVH+aNatPauotxo/7iKNHT1iUGTiwJ37tvXF0tKfhSx3St7u4ODFt+nAcHEzvw48/Xsqunb9aHP+4ctMfFCxoy8xZ06lVqwZXLl9l0KARnD2boFu2/Nx+5Nf32pNIk+VvuvlXz1RSSk1SSg17wH4npdQvSql9Sqlm/0CeOKVUqQfs3/13Z/inNXipKuXKlaTH6/OYOyeQQYPbWi03dcoq+ryziF5vfUbx4kVo7l4TgJUrdtP7nYX07b2In/cc57XX3XXLVr9OScq5FObNEb/wybJoBvaolm3ZJi+WIjU1820n61YvTuMXStFv/K/0HrOX1Vv+1CdXvQqULVect3t9z7x5kQQENLda7oMPtjMgYBV9+62gWLHCNGtaGYAZM4IJGLiKgIGr2PXTKXbvPqVLLgB/zxdYMr5ntvt3/HGcuMSLbP/0Pab27cikxRsAuHLtBgtWhrJyRj9WfdifBStDuXpdnz8cAAwGA+OmTqFPj574efng2749latWyVSmc7eXSbl6ldbunny9dCnvjRoFwKb1G/D3bYu/b1tGDhnKmdOndR9QatzYjacruNDFfygz3l/CiFFvWS333beb6dZ1GK93H03dOs/SqHFdALZv2033/43i9e5j+OabQAYNeU2XXAaDgSlTp9KzRw+8vbxo3749VapWzVTm5W7duHr1Kh7u7ixdupRR5nqrUrUqfn5++Hh706NHD6ZOm4bBoG+X4uHhjmulinh6eDF6zHimTZ9itdy0aZMZPXocnh5euFaqiLvH/XPmy6Vf0da3PW192+v2oc7D05NKlSrh4e7OmNGjmT5tmvVc06czetQoPNzdTeU9PADo178/u3/6CU8PD3b/9BP9+/fXJZcpmweVKrni4d6CMaPHMH3a1GyyTWX0qNF4uLcwlfcwta2LP/+CNq198fVtR1hoGIMGvatbNnf3plR0rYBXSz/Gj5vClMnjrJYLD4uks393i+0JCUmMHDGewMAtumW65369eT7kNZ1mrjfPTPUWfTyavn36sfeXvfku266du/DxaUWb1m2IjY3V9f1Wv0FlypUrwZs9FvHx3C28O6i11XLTp66jX58v6d1rCcWKF6F58+rp+5ycHHixXiWSk6/qliu/th2Q+89Fv/9+il5vfUbvdxZy5vRF/vdqU92yeXg0x9W1Ii08WzNm9ESmTptgPdu0iYwePYEWnq1xda2Iu7vpI/S7A4fSrq0/7dr6s3XrdrbpNPBrMBgYMGks43v1p0+bDni0a0OFKs9kKnMuIZHZI8cTHhiUaXt9j2ZUrlmDAe27MrhLdzq/3ZMi9kV1yXVP06b1qFChLB383mHalPmMGTfAarnly9fi37Evr7z8LnXdatCkyYsAdOzUimsp1+ng9w7ffbueQYPf1CdXs/pUrFiOdm3fZMrkjxk3znp7Hhn5M6/+b6DF9t59urN92w66vdyfEcPfZ+xYyzKPK7f9QZeunUi5moJXSz+WLfuW4SMsv+h8XPm5/civ7zUh/tWDSo+gJXBQ07TnNU3b+SgHKKVssjzWbbaXpmmN9fpZ+UXjxtUIDt4PwNGjZ7C3t6NkSXuLcjdu3ALAxsZAAVsb0LRM2wEK29kCmsWxj6vRC6UI+SkJgGMnUyhapAAlixW0KGdXyAb/1k/z/ca4TNvbtSzHik1/cueuKdPVa3d0ydWwoSuhodGmXNHJ2BctRIkSRSzK3bhpej4bGwO2BQxoVuqmebMqRERafiv1uOrXrEQxB8ss94TuPUJHj+dRSuFWrQIpf6Vy7lIKu6JiaFKnCsUdilDMvjBN6lRh577juuWq7VaXP+PiOXP6NHfu3GFLYCAtvL0zlWnh7c36NWsA2B60hYZNLE+3tu392BK4Sbdc9zR3f5Etm01NzKFDJ3BwKMJTTxXPVObWrdv8/rvpm7C7d41ER8dRunRJAP766/4AXGG7QmiaPueBm5sb8XFxnDbXW2BgID5Z6s3H25s15noLCgqicZMm6dsDAwO5ffs2Z06fJj4uDjc3N11y3ePt48XatesBiNoXhaODA05OTpnKODk5Ye9gT9S+KADWrl2Pj4+3xc/Sk4+3N2vNdbJv3z4cHB1xKl06c67SpXGwt2ffvn2mXGvW4OPjY/q9vL1ZbT5+9Zo1eJu365PNi7Vr1pmzRZmzZamz0k7mbOY6W7Muvc6uX78/W7NIkSK6vdcAvLw8Wb8uEICoqIM4ODrg5GT5PUtU1EHOn7ecnXn2bALR0TFoaWm6ZbrH9JquBXJSb2vTX9OTJ05y6pR+A/h6Ztu5cydGo9F8/D5cyrjolq1x46oEB5tm6R07mkBR+0KULGn5B/uNG7eBe/2VTabeqm8/L5YsDtf1vZZf2w7I/eei3387SZr5HDh69AxOTo66ZfPybsG6taYvg6Ki9uPo6Gi93uztiYoy/Q7r1m7A26elxc/y9W1NYOBmXXI9W6c2CfF/knT6DHfv3CVy8xYatvTMVObc2QTioo9bvI8qVKnMoV9/J81o5NbNm8RGH+fFZvoNxAG4ezZkU2AYAAcPRuPgUJRSpUpkKpOaeovffj0AwN27dzl29CSlnU3tn4fnSwRuDAUgJHgXDRrU1SWXp2djAjeaZmwdOHDMnKukRbkDB45x4cIli+2aplHU3vSZz96hKOfPX9QlF+S+P/Dy8mTtuo0AbN0aTKNGDXTLlp/bj/z6XhPiXzeopJQaq5Q6rpTaBVQzb6uslNqqlPpdKbVTKVVdKeUGzAQ6KKWilFKFlVI+Sqk9Sqk/lFKrlFL25uPjlFIfKqX+ALoqpSKUUh8rpX4DBplnPK1RSv1q/tfEfNxTSqntSqnDSqklgHpI9uvm/3qYn2O1UuqYUuo7pZQy76uvlNqtlNqvlNqrlHJQStkppZYppQ6aZ115msv2VEqtV0oFm3+HAKXUUHOZn5VSJbOrH71ej1KlHDl/7v6yjvPnUyhVyvoHoBkfvsbqtcO5eeM2O3bcn2b65lst+P7HIbTwqsNXy8L1ikapEoU4f/H+oNWFS7d4qkQhi3I9OldizdbT3Lqd+Q+Zcs6FqVWtGJ9MeJFZo5/n2UoOuuR6qlRRLpy//4fdhQvXKVXK+rdq06a25Yfve3Lj5h127cr8B02tWmW4fOUGCQn6ffv7MMmXUnApVSz9sctTjiRfSiH5Yubtzk8VI/mifst9nF1cSEq8v3wgKTGJ0i4uWco4k5RgKmMyHdDnAAAgAElEQVQ0Grl27RrFS2TuiFv7tWPzho265brHyakEycn3P7CdO3cJp9Ilsi1vb1+Eps1e4Ndf7y9x6dLVmzXr5hLw7qvM+Wi5LrmcXVxIyFBviYmJOFvUmwsJCaYp5ffqrUSJEpbHJiVZHJvrfM7OJCZkfg4XF+dMZVxcnElMTEp/nJSYhLPz/TJv9HiNLVsC+XDmBzg66vPHV8Y6AUhKSsLFOUsuZ2cSk+7nyli3TqVKcd68pOz8uXM4lcp2AutjZstwLiQl4eKc+XVxcXbJki3zazds+Hvs3rOLDh3bM2fOXP2yOZcmMfH+0qikpGScnUs/4Ih/jrOLc5Z6S8ym3jKeL0k4Z3k/5vdsXf/P3p3Hx3T1cRz/nKQhNEkV2SyVtHZKtLWrJEgQSUgssdTS3a7UvtfSUtTzqNKirX0nqyB7ULUVsbW2oorEUltUlLjPHzOyyKSV5PbJaH/v1ysvcu+5M9+cmXvunTPnntupk67fmpcqbcuVK5lt+dUrtylV2vSx8ONpQaxdP5Df7/7B9m2Gy1waNqrE1au3+flnfS+/MNe2A/Q5L3qkVes67Nmj3xdHTo4568TJKfs+6uTkQPJj+/Hj7V/deq9x7eo1zp49p0uu0k4OXMmS62pyCqUcn2zfO/PTcV59vTFFra2xe74EtRrUw95Z3/3WwaEUySlXMn5PSbmKg0OpXMvb2D5LU/f67NmdlLl9smH79PSHpKb+TokSBX/PZX3cJ8n1uPnzluHr25zomBXMmzeFTz6ZV+BMjxT0eODo6ECy8T2Rnp5Oamoqzz9f4i+2etLHNt/2w1zfa0L8ozqVlFKvAp0BN8AHqGtctQAYoGnaq8BQYJ6maQeB8cAaTdPcgGeBsUALTdNeAfYBQ7I8/DVN017RNG218fcimqa9pmnaLOC/wGxN0+oC7YFFxjITgB2aptUAgoEX8vDn1AE+AKoDLwKNlVJFgDXAIE3TagMtgLtAP0DTNO1loAuwRCllbXycmkCgsS6mAr9rmlYH+B7okVv9mAqklHpPKbVPKbVvwYIFefhTnszIEcvp1GEWVlaWuNVxzVj+7TdxdO08m7iYQ7Rtp983EU/ixRdscHYoxs4fcn5LYmmpsH3WikGTfmDRmlOM6Vfj/5oNYOy4TXR7YwlWVpbUrl022zoP90okJuh3svlPV8vNjbS7dzl1Qr8RVPlhaWnB5Kn9WbtmCxcvZH7QWr8umvYBg5n7+SrefKtdISZ8eqxYvhL3ps3x8fHnyuXLjBk7qrAjmaTf+Ax9zJwxi0YNmxAaEkbPnj3+egPxVOjXvx/pDx4QEhxSKM8/euQaOnf63HCMd6tA0aLP0KVLI5YseaKB4v9X5tJ25HZeBNC12+ukpz8kNuZQoWT7M/5+bQjTaZRSQe3f8T37Ercza+0yRsz+lJ8OJGWM9CoMlpYWTJs2nFUrw7hwIfmvNyhErX08CQ2JwqtFN/r2HcvHHw/H+B23+BPm0n48Te818fT7p03U/ToQrGna7wBKqTDAGmgErMvSEOYcjgINMHTgfGcsVwRDx8sjax4rn/X3FkD1LI9vZxzl1BRDhw6apm1SSl3Pw9+yR9O0X41/x0HABbgJXNI0ba/xMW8Z1zcBPjcu+0kpdQ6obHyceE3TbgO3lVI3gXDj8sNALWPOJ6kfNE1bgKEDCkBbu3qiyeD+bevi08Zw7e6J4xewd8jsAbe3t+Pq1dxHqNy//4Cd3x2nUeOq7P8h+8ib2NjDTP2kG0uXJOS6/V/xa16W1u7OhmxnbmNfqiicNKwrXbIo167fy1a+ekU7KrvYsmRmAywtFSXsivDpSDeGTzvI1d/u8d0+Q2//8Z9v81CD52yt8nUZnK9vDVq1rG7IdfIype0zh8KXLm3D1at3ct32/v10dn1/hgYNXDhwwDCBsoWFolEjVwYOXJ/nLAXhWNKO5KuZI6OSr93CsaQdjqXs2HMk8/VMuXaTejVfNPUQ+ZKSnIyTs3PG707OTlxOTn6sTApOZZxJSU7G0tISW1tbblzP3CVb+/kSGRaOXjp09KJtO8Pw/GPHfsbRMXPIuYNDSa5cNt0cjBr9Dud/SWb1qi0m10dHfc+IkW/BRwXPmJKcTJks9ebsbKifHGXKlCE5S71dv34957ZOTjm2zY/u3bvRuUsQAIeSDuFcJvtzJCdnnwQ4OTkF5yyX8zg5O5GSYihz9WrmUP1Vq9fy9df57wzv3qMHXTp3BiDp0CHKlCmT+ZxOTiSnPJYrJQXnLKN/stbtlatXsXdwMIxScnDg6tWcndZ5y9adLp2DsmTLsi84OZGckv11SU5Jfiyb6dcuJCSUbxd/zezZ/8l3tm5vBBHUyTBR76HDR3HOMkLAycmRlJTCmyDUUG9ZX9Os9eacS71l3V+cSEnOOSm1OWbr0KE9zZs3o2uXnHOT5JWf/yv4+BgudT1+4lK2y69K29ty7Wruk4Dfv5/O9ztP0rBRZX67fgcnp+f48ivDHHP29nbM+/JNBvRbwvXruR/zcmOubQfof17k3dKNBg0qM2xowUetdu/elaDOHQA4dOhIjjpJTs6+jyYnX8bpsf04a/tnaWlJy1Yt8PfrUOBsj1xNvox9llylnRy5lvLk+97q+QtZPX8hAMM/m86FMwUfQdUpqA2BgYY5xI4ePYGTY+blUY6Opbl82fSlYmPHD+CXXy6yckVoxrLLl6/h5GTP5cvXsLS0wMamODdu5G80d1BnP9q39zHkOnIcJ6cny2VKQEBL+vQeA8ChpB8pWrQIzz//HL/9diNf2fQ8HqSkXM54f1paWmJjY8P16/nLBebdfpjre02IrP5RI5VyYQHc0DTNLctPNRPlFBCdpUx1TdPezrL+8TOcrL9bAA2ybFtW07TcbyP2ZLL2bqST/w7ArI/zMMvvD42P+aT188TCQvfS+70v6f3el3y34ye8vAzX61arVo47d+7x22/Zq8baukjGfAIWFhbUb1CJ878YPmSVLZv5QbxR4yoZy/MrPPYCfcfvo+/4fezcf5UWjQ0HhKov2fH73Qf8dvOPbOUj4i7S9YOd9By6iw+nHuBC8u8Mn2a4fnrn/qvUrma4hKmsYzGsLFW+51WKiDiaMbn299+foXlzw6ThVas4cufOPa5f/z1beWvrZzLmWbKwUNStV4Ffz2ceTOvUKcevv97g6rW8n5gXRLO61QhJOICmaRw8/gu2xa1xKGlHE7dK7Eg6xc3Uu9xMvcuOpFM0cav01w/4hI4kHaKCqwtly5fDysqK1n5+xEdnnyA0PiaGdu3bA+Dt05rdOzP7jJVStPJto2un0vp10XTvNpru3UazLWEfrdsYJjKtWbMiqal3uXYt58nP+707YmNTnNmfLcu2vHz5zBOXxk3qcP4Xfb5xSkpKwsXVlXLly2NlZYWfnx/R0dHZykTHxNDeWG8+Pj7s3Gm4n0B0dDR+fn4UKVKEcuXL4+LqysGDBwucadmyFRmTW0ZFxRAYaBiV5VbHjdu3b3PlypVs5a9cuULq7VTc6hg+5AYGtiM6yvDaZ50DoWVLL04UYBTasqVL8fHxwcfHh6ioKAKNdVKnTh1DrsfukHbl8mVup6ZSp04dQ6727Yky1m1MTAwdjNt3aN8+R53nPdsyfHx88fHxJSoqmsD2AcZsxjq7/FidXb5izGass/YBRBn3FxcXl4xyXt4tOH26YPMErVi+Bn//IPz9g4iJjqddgB8Abm4vc/t2qsm5Mv5fDPXWBh+fNsbX1PBh58nrLTDjNTXnbO7uTXm/9/u88/a7pKUV/C5h4WH76dP7G/r0/oad353Ay6smAFWrlTEe47Mfd6ytrTLmWbKwUNSr/xLnz1/j7JkrdOo4hx5vzKfHG/O5cuUWfXt/m68OJTDftgP0PS+qW7ciQUGNGTd2FffuFXwux2XLVmZMrh0dFUtAoOHuX25utXOvt9RU3NwMf0NAYFtiouMy1jdu3JDTp8/k+BBeECcOH6GMSwUcy5XlGatncG/Tml2xCU+0rYWFBbYlDJffu1SpjGuVSvywo+D3xVm7ZhOdgwbQOWgA8fG78PVrBsDLL1chNfUOV6/m/OKob7/u2No8y4xPs3cyJCbsxs/fMC9VC68m7N2T/9Fna1aH06ljHzp17ENc3E78/A3z/NSqVZXbqXdMzp2Um+TkK9RvYNg/XF3LU6RIkXx3KIG+x4PY2AQCA/wBaNXKi127CnaTBHNuP8z1vfaPkP7APH+eQv+0kUrbgMVKqU8w/G1+wFfAGaVUR03T1hnnJqqlaVrSY9vuAr5QSlXUNO2UUupZoKymaU/SEkQBA4AZAEopN+PldduArsAUpVRrIPdJVJ7MccBZKVVX07S9SilbDJe/bQe6AXFKqcoYLrM7DvzlPds1TbullHqS+smX3btPUq9+JZYuH8i9tPvM+DSzt/zLBb3p/d6XWBezYvKULlhZPYOyUCQdPEN42D4A3nm3BeXKl0Z7qJFy+Qb/ma3fJMp7kq5Rt1ZJvp3RgHv30pm1KPNWpvMmvUbf8fv+dPut2y4x5J2qfDW1LvcfaMxYqM8dw/bu/YW6dSvwzdddSbv3gNmzM+eRmvt5R/oPWIe1tRUTJ7TGysoSpRSHDl1gU2Tm/DvuTSuSkHhSlzxZDflsNXuOnOH67Ts0fWcaAzq34IFxAtguLevj/moVEvcfx6vvLIoVteLj/oYPziVsi9O3oycdhn8BQL+OzSjxJxN+51V6ejpTx09g4dKlWFhaELx2HadOnqT/kMEcPXSY+JgYNqxZw/TZs9mSGM+NGzcZ2j/zLiav1a9H8sVL/Hr+vG6Zsvruu4M0auzGhuDZpKXdY/KkrzLWLVvxMd27jcbBoSRvvR3AmTMXWLp8KgDr1kYRFppAx07e1K1XkwcPHnD71h0++mi+LrnS09MZP348S5cuxdLSkrVr13Ly5EkGDxnC4UOHiImJYe2aNXw2ezYJiYncuHGDAf37A3Dy5EkiNm0iOiaGBw8eMH7cON0vKYiPT8DT052ExFju3r3L8GEjM9ZtigyjjY/hhHLcuIkZt/VNTEjMmDNm1KjhVKteDTSNX3+9wOjR4/TJFReHp6cnidu2cffuXYYNzbzJaGRkJD4+hm+Jx40dy8xZswy3G05IICHesC/PnzePL+bNo1NQEBcuXKCfjnfjio+Lx9PTg8Rt8dy9m8awocOzZIvAx8fXmG08M2d9asyWSEJ8AgAjRg7nxRddefhQ48KFC4wZbfqOPPmRkLAdd48mxMZFcPduGiNHZN5ZKizM8GEDYPjwD/Dz96FYMWu274hi7dqNfD7nS15+uQbz5s/Gzs4Oz2buDBzUF5/W+tyu3FBvniRuSzC+plnrbRM+PoY7dI0bO46Zs2bkqLeWLb2Z+NFESpYsyTfffsOPx47Ro0dPs8j20aSPKFKkCMuXGzqrDxw4wJgx+ryue3afpl69l1i8tDf37t1n5ozMS57mf/kWfXp/g7W1FR9N7oiVlSUWSnEw6RwR4ft1ef7cmGvbAQU/L+o/0AcrK0umzzBcmvrjsV/573/0OTeKj0/Ew7Mp8QlbSbubxvDhozPWRWzaiG8bw/42ftwkPp3xCdbWRUlM3E5CwraMcr5+PoSH6Xvp28P0dOZ/9DFTvvkSS0tLotYH88up03Qf1I8Th4+yOy6Byi/XYNy8/2JjZ0t9T3feGNiX3j4BWD7zDDNXLQHg99RUZgwdxcP09L94xrzZsX0vTZq8RljEItLS7jFxfOZcdKvXfE7noAE4OJTi3fc68/PP51m1eg5g6AAKDo4iJDiKKVOHEhq+kFu3bjNy+Ke65Nq+fQ+vN63HpsjFpKXdY9zYmRnr1q6bT6eOfQAYPPgdfNp4Ym1dlOiYFWzcsIX585cxc8ZXTJg4mO7dA9E0sm1fUAU9HqxbG8zMWVOJiQ3nxo1bDP5geG5PlWfm3H6Y63tNCKXn3TbMgVJqDNATuAz8AuwHNgDzAWfAClitadokpVQv4DVN0/obt20GTCfz8q+xmqaFKaXOGstdNZZLAIZqmrbP+Htp4AugGobOrG2apvVWSpUCVgFlgZ2AN/Dqo8cxkT1V0zQbpZSH8fF9jcvnAvs0TVuslKqL4VK3Yhg6lFoAD4x/32vG/w/RNC3exN+X8XdkXaeUcjVVP39R1VqLZhP/osj/X0zcRFr21G8ybz1tXeJJax99OgP0tjmyDxzdUNgxcqph6JSqXsH1Lwr+/x07dwaA+nW7FnKSnHbvXYlLhQqFHcOks+fO4eqi3yg1PZ05e9Is6+3sOcOlGi4V9LtkVC9nzxlGMlWqaH53kDl5yvDdiIsZth9nz50xy1xgyObd4pPCjmFSVMwos2w/zpw1fIljrudFAC+6FmgQ+t/i5zM/0rrSy4Udw6TNJw9Tp3abwo5h0oGkTdR6Wb+7hurl0OEowLyPB+bcfpjj++1A0ib4ixtNPc3urhxolh0hxbrOeerq/J82UglN06ZimJD6ca1MlF0MLM7yexyZk3tnLefy2O8ej/1+FQgysd01DB1JT0TTNBvjvwlAQpbl/bP8fy+G+Z8e96aJx1tM9r/PxdQ6TdPOYKJ+hBBCCCGEEEKIfxrtob6jFv/N/g1zKgkhhBBCCCGEEEIInf3jRiqZO+MlcbEmVjU3jmwSQgghhBBCCCGEMHvSqfR/Zuw4civsHEIIIYQQQgghxL/SU3qnNXMkl78JIYQQQgghhBBCiDyTTiUhhBBCCCGEEEIIkWfSqSSEEEIIIYQQQggh8kw6lYQQQgghhBBCCCFEnkmnkhBCCCGEEEIIIYTIM7n7mxBCCCGEEEIIIf41tPT0wo7wjyEjlYQQQgghhBBCCCFEnkmnkhBCCCGEEEIIIYTIM7n8TQghhBBCCCGEEP8aWvqDwo7wjyEjlYQQQgghhBBCCCFEnilN0wo7g3g6yRtHCCGEEEIIIf65VGEH+LukLuxllp9nbd5d/NTVuVz+JvKtZg3Pwo6Qw5Gj8dR62buwY5h06HAUlSrWLuwYJp08lUT1Cq6FHSOHY+fOGP5zdEPhBjGlRnsAqlSuW8hBcjp+Yq9Z5gJDtqpV6hd2DJN+Or7bLOvt+Im9ALz0YvVCTpLT6Z+PAeZ7PACo+FKtQk6S06nTh3Cp8GJhxzDp7LmfzfL1BMNras77QeXKrxZykpxOnPgBwCzb3Z+O76ZKBZfCjmHS8XNnaeY+srBjmBSXOI1X3PwLO0YO+w+GAeZ9PHjRtVohJ8np5zM/AlCtaqNCTpLTjz/tLOwIf6+HcvmbXuTyNyGEEEIIIYQQQgiRZ9KpJIQQQgghhBBCCCHyTDqVhBBCCCGEEEIIIUSeSaeSEEIIIYQQQgghhMgz6VQSQgghhBBCCCGEEHkmd38TQgghhBBCCCHEv4aWnl7YEf4xZKSSEEIIIYQQQgghhMgz6VQSQgghhBBCCCGEEHkml78JIYQQQgghhBDi30Muf9ONjFQSQgghhBBCCCGEEHkmnUpCCCGEEEIIIYQQIs+kU0kIIYQQQgghhBBC5Jl0KgkhhBBCCCGEEEKIPJNOJfG3GzVqAJGbl7Nx4yKqVatksszAgW8TE7OGPXsjsy0fPqIv6zcsZP2GhURsWsrO78N1zTZiZF8iNn3L+g1fUq1aRZNlBgzoRVT0CnbtDs223MnJnkVff8qatfNYv+FLmrxeV7dc48aNICY2nPCIdVSvUdVkmcFD+rNt+1YOJn2fbXmRIlb857+fEhMbzvr1yylbtoxuuZq4N2VTXCxbEuN5p0/vHOutihRh1tzP2ZIYz+qQYMqUKwuAb7u2bIzclPFz5MxpqlavplsugFFzN9Cw11R8B/3H5HpN05iyKByvvjPxGzyHo6cvZKwLjt+Pd79ZePebRXD8fl1zPTJm7IdERW8kLGwl1atXMVnmg8F9SEiMYP+BxGzLe73ZlU2RawgLW8niJfMoU8bp35NtzBC2Rq0nNGx57tk+6E18Qhg/7I/PtjyocwBhYSsIDlnGipULeOklV/1yFaDOOncOJCx8FSGhK1i5aqGuuQDGjx9NXNwWNkUGU6OG6f2sZs3qRG4OIS5uC+PHj85YXq1aVdZvWEV4xEZCQtdSq9bLumYryPEAoGVLD0LDviUk9FumfzpW12zjxo8gNi6CiE3rc623IR8OYPuOKJIO7cq2vEgRK/4751Ni4yJYv2GFru0uwISJ40lIjGPzlkhq1KxhskzNmjXZsnUzCYlxTJg4PkvmwWzeEklkZARLly3BwcFBt1zmfHw35/1g7NhhREeHEBa2murVcznGD+5LYuImDhzYnm35m292IzJyHWFhq1myZL5ZtbmPeHt78tPx3dSsafpvy4/X3d3ZEhdLVGIC7/bpk2O9VZEizJ47l6jEBNaGhFC2XDkAypYrR9LxnwiJjCQkMpKPpk7VLVNW/Qf6sWzFUBZ+M4hKlUzv/9M+fZOFXw/im8WD+WBIOywsFADuHi/zzeLBxMR/TOUqZXXNNWz4u4SGfcWatXOoWvXFHOutrYvw38/HsSF4Hus2zGXAwB4Z66ysnmHa9GGEhn3FkmUzcC6jX9sBZt5+TBhNXPwWIjeHUKNGdZNlataszubNocTFb2H8hMz2Y87nnxGxaSMRmzaybXsMEZs26ppt9JjBbNm6lpDQpVSvXtlkmUEfvE9cfDD7fogxud7L24Mff9pJDR33UfHvJp1K4m/1+uv1eaFCWXxav8HEibMYN36wyXIJCTvp3DnnScKn0+fRof27dGj/LitXBBMbs93E1vnT5PW6VKhQFt82bzLpo/8wduxAk+USE3fRtcuAHMvfe78bUVu3EdSpL8OHfcyYMTnL5Ie7exMquLxAi+Z+jBs7iUkfmf7gFB+XSPvAbjmWd+gYwK2bt2jR3I9vv13OsOEf6JLLwsKCsZMn8X7PXvi18MbH35+XKmXviGsf1IlbN2/Syt2TJV9/zYcjRwIQERJKoE8bAn3aMGLwEH49f56fjv2oS65HAj1fYdG4Xrmu37b/BGcvXSPqiw+Z3LsdExcYOglv3P6duWtjWTutD+um92Xu2lhupt7VNVtT90a4uLyAt1cg48Z9zMSPRposFx+3nY4deuZY/uOx47QP7IG/f1e2boll2HDT79V/XLamjajgUp6W3h0YP24aEyYON50tfgedOr6ZY3lEeBT+/t0IaNedRYuWMXLUIH1yFbDOwsO34u/XhXZtu7Fo4TJGjTLdLuaHh0dTXFwq0KxZK8aMnsCkyRNMlps0eTyjR42nWbNWuLhUwN39dQBGjPyQz+fMw883kP/MnsuIkR/qlq2gx4MXXijLO+92pfsbA2jX9k2mT5urWzZ3jya4uFSgeTNfxo6ZxEeTTLe7cbGJBAZ0zbG8Y8dAbt68RfNmvnz77TKGj9Cn3QXw8PTA1dUFD/dmjB41mqlTJpssN2XqZEaNHIWHezNDeQ93ABZ8tZDWrXzw8fElLjaOQYP02UfN+fhuzvuBu3tjXFzK4+XVjnHjpvDRR6NMlouL20YHE+3HsWPHCQzsjr9/Z7ZsiWX4cH3aNSh4mwvw7LPF6d4jiIMHj+iWy8LCgvGTJ/FOz160aeGFr4nzj47G8w9vdw8Wf/01Q0dmtsu/nDtHOx8f2vn4MGHMGN1yPVK/fhXKlitN924z+WzmRj4Y0s5kuUkTV/Lu2//lrV6zKVHCBncPQ2flmTPJTBi3jENJZ3XN1bjJq7zwQhna+r/PlMlfMGpMzv0QYNmSENoH9KVL0Ae4uVWjUeNXAGgX4MWtW6m09X+fFcvDGDQo5/sxv56K9sOzFaNHTWDylPEmy02eMoFRo8bTzDN7+zFwwBB82wTi2yaQLVui2LrFdMdOfjRt2pAKFcrRqmUnJoyfzvgJw0yWS4jfQVCnd0yuK/5scXp070SSjvvo00pLf2CWP08j6VR6QkqpiUqpoUqpSUqpFjo8XgmlVF89shkfb6BS6kel1Aq9HlMPns0aExYWBcChQz9ia/sspUuXzFHu0KEfuXr1tz99LB+fZkRGxuqXzbMR4WHRxuf/6U+y/WQym6ZpPGtTHAAb22e5cuWaLrlatPAkJNjwjcvBg4extbPF3r50jnIHDx7mypWrJrffGBwGwJYt0TRsWE+XXC+71eaXs+f49fx57t+/z+bwcJp5eWUr08zLi5ANGwCIitxMg8aNcjxOG38/NodH6JIpq7o1XHnOtniu62P3HKOdRx2UUrhVeYFbd9K4/Nstdhw8SeNaFSlhW5znbIrRuFZFth84oWu25s3dCQneBEBS0hHsbG2xty+Vo1xS0hGT76Pdu38gLe0eYHjdnRz1+7bQvLM1JTRkc2Y2u7xlu3PnTsb/ixcrhqZpOuUqWJ1lzVWsmDUa+uQCaNGiGcHBhg7TgwcPGesse/thb18aGxsbDh48BEBwcCheXs0BQ7tmY/MsALa2Nly+fFm3bAU9HnTo6MvqVSHcupUKwG+/3dAtW4sWngRntLum6+3ROtPtrgfBG43t7uZoGjasr1s2b68WbNwQDMCBAwextbPD3sE+Wxl7B3tsbWw4cOAgABs3BOPtbWifU1NTM8oVL15ct/3AnI/v5rwfNG/uTnCW9sPW1sbke83QfuR8r+3evY+0tDTj33YYRzNqcwEGDnqfRQuX8ce9e7rlquXmxrks5x+bwsNp7uWdrUwzL2+CjecfWyMjaWji/OPv0qhJdaK3GkY5/3jsPDY2xShZ0jZHud9/N9SJpaUFVlaWPNoVfzl3hfPnc77WBeXhUZ+ICMNossOHjxv30eezlUlL+4N9+w4D8ODBA3786TSOjqUztw+PAyA25jvq1qutWzazbj+8mhG88VH7kYSdnR329o+1ufb2xvYjCYDgjaF4eTc3ka0V4eGbdMvWrPnrhIZuASAp6Sh2dja57KNHc91HBw18l0WLlnPvjz90yyWEdCrlkaZp4zVNy9HlrJSyzONDlQDy1KmklHrmT1b3Bbw0TWtzTQQAACAASURBVMs5dKUQOTqUJjk582QsJeVqxsEqL5ydHSlbzpnduw/ols3BoRTJyVeyZXNwyNkw52b+vGX4+jYnOmYF8+ZN4ZNP5umSy9HRgUuXUjJ+T05OydNJo6OjA8mXkgFIT08nNTWV558vUfBcTk4kX7qUmetSMg5OTo+VcST54qWM5759+zYlns9+AtPKz5dNoWEFzpNXKb/dwqn0cxm/O5WyI+W3W6Rcy77csdRzpFy7petzOzrak5yc5TVNuZzvDwIdOrZl27adekUz+2yXsmZLvoyjo/2fbJFT164diIrewNBh/Zk65TPdchW0zrp260h0TDDDhg9kyuSZuuQCcHRy4KJx/wdD++Hk5JitjJOTY7b8l5JTcHQy5J8yeRojRw1jx45YRo4axoxPTV9Omq9sBTweVKhQjgou5Vm2/HNWrPyCxk30u+TY0dGBSxez19ujOnmi7Z0cM9rt9PR0Um/r0+4aHtuJixeztL3JyTg5Zm97nRyduJScmf/SpWQcs7TPQ4d9yM7vd9C2nT+ffTZbn1xmfHw36/3A0SHb86ak5L1de6SjmbW51atXwdnJkcTE73TLBMZzi0sXM35PuXQJx8deT0cnRy5dNJR5dP7xvPH8o1z58gRHbmLZmjW8Wle/duOR0qXtuHw5s5P7ypWblLa3M1l2+oy32Bg6jt9/v8e2xMO6Z8nKwaEUKVnOcy+nXMP+T85zbWyfpWnTeuzZbegosXcoRXKyobMrPf0hqal3KFEiZ2dZfphz++Hk6MilrO3HpWScHjseODk5kPzYubqTY/b3ZN16r3Ht6jXOnj2nWzZHR/vHnvcKDnnaRyvj5OxAYqJ+7YYQIJ1Kf0opNUYpdUIptQOoYly2WCnVwfj/s0qp6Uqp/UBHpdRLSqktSqkflFLblVJVjeUclVLBSqkk408jYBrwklLqoFJqhjKYoZQ6opQ6rJQKMm7rYXysMOBYLjm/BF4ENiulBiulnlVKfaOU2qOUOqCUamssZ2l8jr1KqUNKqfeNy52VUtuMWY4opV7/Wys2H1r7eBIVlcjDhw8LO0qG1j6ehIZE4dWiG337juXjj4ejlCrsWGatlpsbaXfvcuqEviOB/i38/VtTs2Y1Fi1aVthRcjDXbCtXrsfbqz2zZs6lTx/Tl2sUhpUr1uHVIoCZMz6nT9+3CjtOhm7dOjNlyjSaNGnO1CnTmTbd9KVWheEZS0sqvFCWN3t9wPBhk/lo4lBsbZ8t7FhPhZkzZtGoYRNCQ8Lo2bPHX2/wf2SOx3dz3g8eMbS51Vm0aGlhRwFAKcXIkYOYPv2/hR0lm8uXL+PZsBEBPm2YNnkys+b8l2dtbAotz4hh39AhcCpWVs9Q55WXCi3H4ywtLfjkk6GsXhXBhQspf72BmTDH9uMRf782hOk4SqmglFKMGDmQ6dM/L+wo5iM93Tx/nkJ/NvLlX00p9SrQGXDDUE/7gR9MFL2madorxm1igd6app1UStUH5gHNgDlAoqZpAcYRTTbASKCmpmluxm3bG5+rNlAa2KuU2mZ8jleMZc+YyqppWm+lVCvAU9O0q0qpj4E4TdPeUkqVAPYopWKAbsBNTdPqKqWKAt8ppaKAQGCrpmlTjflMXkOklHoPeA/gq6++yrXuOndpR4cObQA4cuSnbL37jo6lSUnJ+xDf1q2bMXVKwU9Ugjr70b69DwBHjxzHySmzd9/RsTSXLz/5JWwBAS3p09twbf6hpB8pWrQIzz//XL4uyej2RhBBnQINj3X4KM7Omd92ODk5kpLy5EPvU1Iu4+TsRHLyZSwtLbGxseH69YJfJpKSnIyTs3NmLmcnLmf5ZtxQJgWnMs6kJCdjaWmJra0tN65fz1jf2s+XyDB9J1N8Uo4l7Ui+ejPj9+Rrt3AsaYdjKTv2HPk5Y3nKtZvUq5lzMsu86tqtI506GeZVOHz4WLZvyZ0cHfL0mgI0bFSP3n3e5I1u73P//v1/brauHejYqW1GNues2ZwcSEm5ktumf2rTpmgmTByR/1w611lmrijjnEwf5TvbG927EBTU0ZDt0GHKODtlHKweH40BOUdtODs5kmL8xjiwfVsmTfoYgMjILXz8yaR85wJ9jwcpKVc4dOhHHjxI58KFZM6e+5UKFcpx5MjxfGV7440gOgW1B+Dw4aM4l3HKOMo7ZamTJ8qWnIKzs6GuLS0tsbEtWLvbvUd3unQOAiDp0CHKlMnS9jo5kZySve1NTknGOcvIJGdnJ1Iea58BQkJC+Xbx18yenb+RN+Z8fDfn/aBbt4506hRgyPZY++HomPd2rVGjevTp8zbdur1rNm3us88Wp1Lll1i61DBqu7R9KebNn0nfPkM5cuSnAmVMSU7ByTlz8mtHZ2dSHns9U5JTcC5TJtv5x3Xj+ccN42U+R48c4Zdzv+Dq6sqRwwUbJdS2XQPa+BqmFzh+/FccHEoAhhEp9vbPcfVK7iOe7//xgO++O0bjxtX5Yd+pAuV4XKcgHwICDZcGHj16Ekcne8Awh6WDYymu5HKeO3Zcf3755SIrV2SOJL9y+RpOToZzY0tLC2xsnuXGjdv5zmbO7Uf37l0J6twBgEOHjuDsnNmePjqnzio5+TJOj52rJ6dkvictLS1p2aoF/n4dCpyta9dAOnT0B+DI4Z8ee157LudlH630IkuXfgFA6dIlmTdvOn37juBoAfdRIWSkUu5eB4I1Tftd07RbQG7X66wBUErZAI2AdUqpg8BXwKOzwGbAfABN09I1Tbtp4nGaAKuM61OARODRGN09uXUo5cIbGGnMkQBYAy8Yl/cwLt8NlAIqAXuBN5VSE4GXNU0zecTQNG2BpmmvaZr22nvvvZfrk69eFZIxeV5c7Hf4+xsObrVqVSM19c5fXhv9OFfX8tjZ2XLw4NE8bWfKmtXhdOrYh04d+xAXtxM/fy9jtqrczmO25OQr1G/glpGxSJEi+Z7jY8XyNfj7B+HvH0RMdDztAvwAcHN7mdu3U03Oq5Cb2NgEAgMMB59WrbzYtWtPvjI97kjSISq4ulC2fDmsrKxo7edHfHT2K0HjY2Jo197wIc3bpzW7d2bemU4pRSvfNoXWqdSsbjVCEg6gaRoHj/+CbXFrHEra0cStEjuSTnEz9S43U++yI+kUTdxM34UkL1auWEe7tt1o17YbMTEJtAswnEjVrl2T26mpeZqDq1q1ykyaNIo+vT/kt9+u//UGT3O2lesJaNedgHbdiY3ZRtt2rTOz3c5btgoVymf838OjMefOnc9/Lh3rLHuuJpw7+0u+cwEsX7YKP99A/HwDiYqOJSDA8AHRza0Wt2/fztF+XLlyldTUVNzcagEQENCWmBjDvBkpKZepX99w6GnUqAHnCjhsX8/jQWzcDurWM7S5JUrY4VKhHOfPX/qLrXK3fPka/P064e/XieioOAIy2l3T9fan2WITCAg0trutvdj1fcHa3WVLl+Hj44uPjy9RUdEEtjd0SNSp42bIdjn7h4grl69wOzWVOnUM9RPYPoAoY/vs4uKSUc7LuwWnT/9Mfpnz8d2c94MVK9bRtm1X2rbtSkxMAgFZ2o/U1Lwd46tVq8KkSWPo3XuwWbW5qal3aNigJc2bB9C8eQBJB4/o0qEEcDgpCRdXF8oZzz/a+PkRFx2drUxcTDQBxvOPlj4+7NppuLzn+ZIlsbAwfNwpV748Lq4unP+lYG0uQGjILt57Zw7vvTOHHduP4tXSMLl1terluXMnjd9+y34qbV2sSMY8SxaWFjRoUIVffsnflyR/Zu2aSLoEfUCXoA9IiN+Nr68nAC+/XIXU1N+5ejXne6Zvv27Y2BRn5oxF2ZYnJu7B168ZAM1bNGbv3kMFymbO7ceyZSszJteOjoolIPBR+1Hb2H481uZeuWJsPwzzTAUEtiUmOi5jfePGDTl9+kyOzuz8WLlyI4EBvQgM6EVs7Dbatm0FQO3aNbh9+06e9tFGDX1o0bw9LZq3JynpqHQoCd3ISKWCezTjqgVw49HIo7/pOZ6UAtprmpbt61tluDZrgKZpW3NsoFRToA2wWCn1maZpuoyn3rZtF683rc/mzcu5m3aPcWOnZ6xbv2EhHdq/C8CQD9/Hx6c51tZFiYldy8YNm5g3bwlg+BZi8+Y4k49fENu37+H1pvXYFLmYtLR7jBubOa/J2nXz6dTRcLeJwYPfwaeNJ9bWRYmOWcHGDVuYP38ZM2d8xYSJg+nePRBNI9v2BZGQsB13jybExkVw924aI0dk3nUiLMzQ+QQwfPgH+Pn7UKyYNdt3RLF27UY+n/Ml69YGM3PWVGJiw7lx4xaDPzB995a8Sk9PZ+r4CSxcuhQLSwuC167j1MmT9B8ymKOHDhMfE8OGNWuYPns2WxLjuXHjJkP7Z94R77X69Ui+eIlfz+f/g/2fGfLZavYcOcP123do+s40BnRuwQPjENIuLevj/moVEvcfx6vvLIoVteLj/oaTzxK2xenb0ZMOww3f3PTr2IwSfzLhd34kJnyHu3tjomOCuXs3jdGjMr/1DgldQbu2hqnQhg0bgK9fS4oVsyZxWwTr1oUy9/OFDB8xiOLFi/HfOdMAuHQxmT599LkbkVlnS/yOpu6NiIreQNrdNEaPzrwEJThkGQHtugMwdFh/fH0N2RISw1m/LpS5cxfR7Y2ONGxYlwcPHnDr1m1Gjsj/aKBsuQpYZ2+80YmGjeoZct28xQidcgEkxG/Dw6MpcfFbSEtLY8TwzDsdhUdsxM/XMCJywvjJfPrpxxS1Lkpi4nYSEgwDY0ePnsD4caOwfMaSe/f+YMwY03fNyo+CHg++27GXRo3qEhr2LenpD5k160tu3tRn/rOEhO14eLxOXNwm7qalMWLEuIx1YeFr8ffrBMDwEYPx9zO0uzt2RLN27UbmzJnP2rXBzJr1MbFxEdy4cZMPBunT7gLEx8Xj6elB4rZ47t5NY9jQzMeOjIzAx8cXgHFjxzNz1qdYW1uTkJBIQnwCACNGDufFF115+FDjwoULjBlt+s52eWXOx3dz3g8SEnbg7t6YmJhQ7t5NY9SoiRnrQkNX0rat4e6Cw4YNxM+vFcWKWbNtWyTr1oXw+ecLGGFsc+fMMdT3xYvJ9OkzRJdsBW1z/y7p6elMGj+eRUuXYmlpyYa1azl18iQDhwzmyKHDxMXEsH7NWmbM/oyoxARu3rjBYOP5R9369Rg4ZAgP7j/gofaQCaPHcPOmqe9282/3ruPUb1CV5SuHkXbvPp9OW5exbsGigbz3zhyKWRdhyic9sLJ6BgulOHjwZ8LCdgPQ5PUaDBjoz3MlnuXjab04feoSI4Z9U+BcO7bvo0mTVwkN/4q0tHtMnDAnY92qNf+hS9AHODiU4p13gzjz83lWrjbMt7Zm9SZCgqMJCY5m8tQhhIZ9xc1btxk1YkaBMz1izu1HfHwiHp5NiU/YStrdNIYPH52xLmLTRnzbGNqP8eMm8emMT7B+rP0A8PXzITxM/0vfEhN30rRpQ7ZGrSMtLY3Ro6dmrNsYvJjAgF4ADB3alza+3hQrZk18Qgjr14fzxdyvdc/ztNOe0kvNzJHS6y4g/zRKqVeAxUB9Mi9/+wqoCURomrZeKXUWeE3TtKvGbXYCszVNW2fswKmlaVqSUmo1sEvTtP9kufztGWC/pmkVjNsGAu8DPkBJYJ/xuasCQzVN8/2LvBlZjJe/2WHoQNKUUnU0TTtgvHzNB+ioadp9pVRl4AKGy+1+1TQtXSnVH6ioadpf3Q9Zq1nD88kq8//oyNF4ar3s/dcFC8Ghw1FUqqjfnTP0dPJUEtUruBZ2jByOnTMO0Du6oXCDmFLD0ClVpbL+k34W1PETe80yFxiyVa2i352x9PTT8d1mWW/HT+wF4KUXqxdykpxO/2yY6s9cjwcAFV+qVchJcjp1+hAuFQp+me3f4ey5n83y9QTDa2rO+0Hlyq8WcpKcTpwwXARoju3uT8d3U6WCS2HHMOn4ubM0cx9Z2DFMikucxitu/oUdI4f9Bw0XdZhj+/HoePCia7VCTpLTz2cMlydWq/r/u2Phk/rxp51gGKzwj3TzU1+z7Ah5bnjEU1fncvlbLjRN24/h0rYkYDOGS8T+SjfgbaVUEnAUaGtcPgjwVEodxjBjQ3VN065hmNPoiFJqBhAMHDI+XxwwXNO0nBMiPJnJgBVwSCl11Pg7wCIMk33vV0odwdBJ9gzgASQppQ4AQYB5zbIohBBCCCGEEEIIsyOXv/0JTdOmAlP/ZL3LY7+fAVqZKJdCZgdT1uVdH1s0zPiTtUwChnmR/iqrS5b/38Uw6unxMg+B0cafrJYYf4QQQgghhBBCCCGeiIxUEkIIIYQQQgghhBB5JiOVniJKqVJArIlVzY2X0wkhhBBCCCGEEEL8X0in0lPE2HH0d9xdTgghhBBCCCGE+FfQHsrd3/Qil78JIYQQQgghhBBCiDyTTiUhhBBCCCGEEEIIkWdy+ZsQQgghhBBCCCH+PdLl8je9yEglIYQQQgghhBBCCJFn0qkkhBBCCCGEEEIIIfJMLn8TQgghhBBCCCHEv4Yml7/pRkYqCSGEEEIIIYQQQog8k04lIYQQQgghhBBCCJFn0qkkhBBCCCGEEEIIIfJMOpWEEEIIIYQQQgghngJKqVZKqeNKqVNKqZEm1s9WSh00/pxQSt3Isi49y7owXfJomqbH44h/H3njCCGEEEIIIcQ/lyrsAH+X65Oam+Xn2efHx/5pnSulLIETgBfwK7AX6KJp2rFcyg8A6mia9pbx91RN02z0zCx3fxP5tqC2V2FHyOG9pGhec61Y2DFM2nfmFC9VqFDYMUw6fe4c9et2LewYOezeuxKAKpXrFnKSnI6f2Gv4z9ENhRvElBrtzXo/qOXyYmHHMOnQ2Z9xqeBa2DFyOHvuDIBZZ3NzeamQk+R08OxpAFzMsN09e+4cB1o0LOwYJtWJ+Z6wV5sXdgyT/H+IJcm7QWHHyKF21C4A/muG50WDkqIBONzK/Ort5S27eOmlmoUdw6TTp4+w2M38Xk+AXgejecXF/I7x+8+eAqCGGR6rjhqPVUd86hdykpxqRu4G4OGebws5SU4W9d4s7Ah/Ky39YWFHyK96wClN034GUEqtBtoCJjuVgC7AhL8zkFz+JoQQQgghhBBCCFHIlFLvKaX2Zfl577EiZYHzWX7/1bjM1GNVAFyBuCyLrY2Pu0sp1U6PzDJSSQghhBBCCCGEEKKQaZq2AFig08N1BtZrmpaeZVkFTdMuKKVeBOKUUoc1TTtdkCeRTiUhhBBCCCGEEEL8ezy9l79dAMpn+b2ccZkpnYF+WRdomnbB+O/PSqkEoA5QoE4lufxNCCGEEEIIIYQQwvztBSoppVyVUkUwdBzluIubUqoq8DzwfZZlzyulihr/XxpoTO5zMT0xGakkhBBCCCGEEEIIYeY0TXuglOoPbAUsgW80TTuqlJoE7NM07VEHU2dgtaZpWe9yVw34Sin1EMMAo2m53TUuL6RTSQghhBBCCCGEEP8aWnr6XxcyU5qmRQKRjy0b/9jvE01stxN4We88cvmbEEIIIYQQQgghhMgz6VQSQgghhBBCCCGEEHkmnUpCCCGEEEIIIYQQIs+kU0kIIYQQQgghhBBC5JlM1C2EEEIIIYQQQoh/DS1d++tC4onISCUhhBBCCCGEEEIIkWfSqSSEEEIIIYQQQggh8kw6lcTfqlyj1+gU+g1B4Yup/VZQruVcmzfhvaRoSlevDEDR52zxXTSDN78Po/Go/n9LtoZNm7IhNorg+Fh69n4/x/o69eqyPDyUXSd/onnrVhnLK1erxjcb1rFm62ZWbY7Aq42PrrmaursTHRdHXGIi7/fpk2N9kSJFmDN3LnGJiWwICaFsuXIANG7ShNCICCK3biU0IoKGjRrpmuuRIR/2YP3Gz1i+chpVqrjkWF+0aBE+mz2MNetmsmrNp/Tt3zljXUBgc1asmsayFR+zYOEEXF3L6pptzNgPiYreSFjYSqpXr2KyzAeD+5CQGMH+A4nZlvd6syubItcQFraSxUvmUaaMky6ZRs3dQMNeU/Ed9B+T6zVNY8qicLz6zsRv8ByOnr6QsS44fj/e/Wbh3W8WwfH7dcnzuPzuBwBzFn9DfNJ+Zi9a8Ldka+zelLDYGCIS4nirT+8c662KFOHTuXOISIhjRchGypQzvJ+esbJi0oxP2bBlM+s2b+K1BvV1zzZh4gQSEuPZvGUzNWrWMFmmZs2abNm6mYTEeCZMnJCxfNToUcTGxrB5y2a++upL7Oxs/xXZGrk3JSQ2mrCEON7sk/O99kq9uqyKCGXfqeO0eOy95tc+kLD4WMLiY/FrH6hbpkfc3d2JjYsjITGRPrm0u3PnziUhMZGQkBDKGdvdEiVKsGr1ao4eO8ZHkybpngvAtm4Dqn27mupL1uHYuXuO9SW9fai5PpIqXy6hypdLKNXaDwCb2q9kLKvy5RJqRybwXKOmuuWyb1iXZhsW0zxkKRV7dc61nHOz1/H/IZbnqhmO7+oZS+p8NAKPNQvxXP8NFd/solumR2xfa0CVr9dQ9dt1OATlrLPnvdpQY+1mKs9fSuX5SynZyj8z7zv9qbJgJVUWraZM3yG6Z6vQ6DV6hH5Dz/DFvPYn50UVmzdhUFI0DsbzIoDX3upMz/DF9Aj9hhcavaZ7NptXG1B50Roqf7MO+045662EVxuqrd5MxS+WUvGLpTyfpd6c3upHpS9XUOnLFTzXtIXu2QDGjx9FXFwkmzZtpEaNaibL1KxZncjIjcTFRTJ+/KiM5VWrVmHduuVERm5kwYK52Ng8q1uuso1eIyDkGwLDFvPym7m/phWaN6HXwWhKGV/T0jWr4L/my4yfFzwb65YJDG3uxtgoQhNi6ZVLm7siIpQ9p3Ie333bBxASH0NIfAy+7QN0zQXQxL0pEXGxbE6M551cju8z537O5sR4VoUEZx7fn3mGj2fNJHjrZsJio3mnb872uqBsXm1ApQVrqbRoPaU79jBZxu715lT8cjUV56+i3PDMtr9Ecx8qLVxPpYXrKdFc388HANsP/UzrYQto+eGXLAz/Psf6C1dv8uYnq2g7+mt6TF1B8m+3MtZdvHqTt6evps2IhfiOWMiFKzd0z/e00dIfmuXP00g6lcTfRllY0GT0ADb3Hc26gHeo2MqTEi++kKOcVfFi1OwWQMqhHzOWpf9xn71fLGbXZ3/Ph1ULCwtGTJrIwF5v09G7FS39fXGtWDFbmeQLF5k4bDhbw8KzLU9Lu8uED4cS1LI1A3q+xYfjx2Jjq88HLwsLCyZOnsxbPXvSskUL/Pz9qVipUrYyHYOCuHnzJs3c3fn2668ZMXIkANevX+fdt97Cp2VLhg0ZwszZs3XJlFWjRm6Uf8GJDoFDmPbxIoaPfMtkuRXLNxHUcSjdu42idq3KNGxUG4CorTvp1mUk3buNZtmycAYNfkO3bE3dG+Hi8gLeXoGMG/cxEz8aabJcfNx2OnbomWP5j8eO0z6wB/7+Xdm6JZZhwwfqkivQ8xUWjeuV6/pt+09w9tI1or74kMm92zFxQSgAN27/zty1sayd1od10/syd20sN1Pv6pLpkYLsBwDLFixk/JChumbKmm30pI/o0+tN2nm1pLW/Hy8+li2wUydu3byFr0czln39DR+MHAFA+86GD7jtW7Xm/Td6MHTMaJRSumXz8PTA1dUFD3dPRo8axdQpU0yWmzJ1CqNGjsLD3dNQ3sMdgB3bd+Dt3ZLWrVpz5swZ+vbt+4/PZmFhwahJE+nX6y0CvVrSysTrmXzxIuOHDmdzaPb3mt1zz/H+oAG80S6Qbm0DeH/QAGzt7HTJ9SjbpMmT6dWzJ14tWuBvot3tZGx3Pdzd+frrrxlpbHfv3bvHrJkz+XjqVN3yPBaO8gM+5PToIfz4dhee9/TC+gWXHMVuJMRyvHdPjvfuybXNhvpLTdqfsezUsAE8TLvHrR9265ar1siB7Bo4irgOb1G2ZTNsXCvkKGZZvBgvdgnkt8PHMpaVaeGOhZUVCUHvsu2NPrgE+lLM2VGfXMZsZfsP5cyYwRx/twslPLwpaqrOEmM40acHJ/r04LctYQAUr/4yz9aoxfHeb3D8va4Ur1yNZ2u9ols0ZWGBx+gBhPQdzbKAd6jcypOSuZwXuXUL4FKW86KSL75A5VYeLA98l5C+o/EcPQBloeNpvIUFZfoN5czYwZx8rwvP5VJvN7fFcKpfD07168F1Y73Z1muEdcUqnOzbg1OD3qZ0h65YFC+uXzbAw+N1XFxeoFkzH8aMmcikSeNMlps0aRyjR0+kWTMfXFxewN29CQCffPIRM2b8Bx+fQKKiYnn33Td1yaUsLKg/agDR/UYTEvgOrq08ec7Ea/pM8WJU6xrAlSyv6fVTZwnv2pewoN5E9xtNw3GDUJb6vKaPju8Der1Ne69WtDJxfL908SIThw5ni4k2971BA+jRrj3d2wby3t/Q5o6ZPInePXvh38IbH39/XqqUPVv7oE7cunmT1u6eLP36a4YY29yWbXywKlKEgJat6dTGj05du2Z0OOkUjjJ9h3F2/Aec6t2Z59y9KVreNVuRImXKY9+pJz8PfZdTfbpw6SvD+baljR0OXd/h58FvcXrwmzh0fQcLG/2+mEl/+JDJS6JYMKwT4dPfZdP3xzh14Wq2MjNWxtG2SU1CP36bvu0a89nazC9QR34VwVs+9dk0/V3WfNSTknb6dawK8VR0KimlXlNKzdHhcSYqpfL0CUgp5aGUyteQD6WUi1LqSH62fYLHLqGU6pvl9zJKqfV/x3Pll33NKtw8f5HbF5J5+OABp7ck4OKRsypf69eLg9+uIf3eHxnLHtxNI+XA0WzL9FSjdm3OnzvHhfPneXD/PlHhm3D3yv7N2qULFzj103EePszeY/zLmbOcP3sOgKuXL/PbtWs8X6qkLrlqu7lx7uxZzp8/z/3794kID6eFl1e2Mi28vNi4YQMAow5vkwAAIABJREFUmyMjadjY8M3WsaNHuXz5MgAnTpzA2tqaIkWK6JLrkabur7J503YAjhw5ha1tcUqVKpGtzL17f/DDD4YPEA8epHP8+FkcHAz1c+dOZqdIMeuiaJp+E+Q1b+5OSPAmAJKSjmBna4u9fakc5ZKSjnDlyrUcy3fv/oG0tHsAHDx4GCdHB11y1a3hynO2uZ9cx+45RjuPOiilcKvyArfupHH5t1vsOHiSxrUqUsK2OM/ZFKNxrYpsP3BCl0yPFGQ/ANi783t+T72ja6ZHarrV5pcs2baER+DpnX1f8PBuQZhxX4iO3Ex94+i8lypVZM/OnQD8du0at2/dpkatl3XL5u3lxcYNGwE4cOAgtnZ22DvYZytj72CPrY0NBw4cBGDjho14e3sDsH37dtLT043bH8DJWZ9RceacraZb9vfa1vAIPLyzv9cu/nqBkz8dR9Oyv9cauTdl147vuHXzJrdv3WLXju9obOwE04PbY+1ueHg43o+1u95eXmwwvtciIyNpZGx37969y759+7h3755uebIqXqU69y7+yh+XLqI9eMD1hBiea5z30UYlmnpya+/3aDrlfL5GVe6cv8DvFy6hPXjAhah4nEwc36v2eZOTS1bzMOuxXNOwLGaNsrTAomhRHt5/wIM7v+uSCwx19sfFX/kj2VBnNxKjn3yElqahihRBPWOFsrJCPfMMD67/pls2R+N50S3jedGJLQm8aKLeGvbrxb7Hzote9GjEiS0JpN+/z60Lydw8fxHHmqZH5OZH8SrV+ePSr9w31tvNxGjsGj5ZvRV9wZXfjxyAh+lo99JIO3MK21cb6pYNoEULT4KDDZ1YBw8ews7OFnv70tnK2NuXxsbmWQ4ePARAcHAYXl7NAHB1rcCePfsA+O6772nZMvs+nl+la1bh9vmLpBpf0zNbE3jBxGv6Sr9eHFm8hvQ/Ml/T9LR7GaMSLIsUAR3nDK7pVptfs7W5m3K0uZeMbe7Dx9rchu6vsztLm7t7x3c08tBvlOPLbrU5f/Ycvxrb3Mjw/7F332FRHH8cx98DYgXscFjBXlAx9lgQuyj2kliixti7sUSN3fxiotFETYwlxhgTY1dQUTr2GnvFho0DuxA10WN/f9xJNwZZA0m+r+fhUXZn9z7M3c7uzc3s+eCRpM1t0Lgxmy1trt82X2rWNteppmlkz54da2trsmTNyrNnz/gtOka3bNlKmdvcuONgpz92SY6D3M1ac2/LOmJjogEwPbwPmEc4xRw9iCnmEbEx0cQcPajrcXDiUgRFHHNT2CEXmTNZ41mzHEFHwhKVuXjrLjXKmTv4a5QrGrf+4s07mGI1alcwd5DlyJqZbFlsdMsmRIbqVFJKWae0XNO0w5qm6TNsIPXqA29mHlHa5ALiOpU0TbulaVqHdMyTTA6HfPxmvB33+29Rd8jhmPgCIG+ZEtga8nN918G/NZuDwZHIiIi436OMRhwMqf+ktHylitjY2HAj/JouuRwNBiIS5DJGROBoSPymzmAwEHHrFgAmk4no6Ghy586dqEwzT09OnzrFH3/o2ymXP39uIiPjL7Cjou6R3yH3S8vb2manTt23OHTodNyyDh0bs37jXAYP7cKc2St0y+bomB+jMTLud2NkFI6v2THUoWNrdu7cq1e0PxV57xGGfDnjfjfktSfy3iMi7yZe7pg3J5F3H6W0i9em13HwJjg6Goi8FZ8tMiICB0fHJGUc48qYTCZioqPJlTs358+epX6jRlhbW1OwUCHKVnDF4FRAv2wGR24lyGY0RmBwTHKcOhqIMMaXiYgw4phC3Xbs1ImQkNBky/9t2RwcHTEmej6NyZ7PN7HtX+FoMHArImF9JG93HQ0Gbr2i3X0TMufLzx+WDwsA/rgdhU3e/MnK5apbnzKLf8R50ifY5E/e7uWu34j7Qf665crqkI8nkfHn96eRt8mW5A1+zjIlyeaYn6jdiUdH3QrcienJU5rsWEvjrT9z6cc1PHsUrVs2m3z5+eN2fJ09e0md5azjQalvV1J04v/i6uzx2VPEHDtC+V+2UP6XrUQfPsDv16/qls3WIR/RCa6LYqLuYJvkuih/mRLYGfJzNcl1ka1jPqIT1HlM5G1sHRJvmxaZ8ubnWcJ6u5NyvdnX8aDEwpUUmfA/bPKZ6+3p5TBsq9RCZcmCtX1ObCtWwSa/vucSR0dHbt0yxv1uNEZiSNJuGQyOia4DIiIicbS0FWFhl+I6mJo3b4KTTh3m2ZNe60beIXuS5yVPmRJkd8zPjRSudfO5lqH1+iW0XreYfTO+0m3qS/4k7WZUBmtzE17rRkYYk7W5Dob4DC/a3Fy5c+O3zZfHjx8TcugAAfv2sHzxEh4+fKhbNpu8Djy7E/8aep7CcZClYBEyFyyCy+zFFJvzHbZVagKWYyjBts/uRpEphWPodUXdj8aQJ37kk2MeOyLvJ247yxRxwP/weQD8D1/gt6d/cD/6CVcj7mGXPQtDvtpAu4+XMWtVEKYUPiz8r0nvaW4y/c1CKdVNKXVQKXVMKbVIKVVUKRWmlMqnlLJSSu1SSjV5SVlry/IYpdQXSqnjQC2lVDWl1F6l1HFLeTvLaKEtlvLuln0cU0odVUrZWZaPVkodUkqdUEpNTZBxglLqglJqN/CnH+kopYYqpc5Y9vGLUsoZ6A+MsDxeXcvooyBLmUClVBHLto5KqY2W3MeTjm5SShWz5K32ksfOqpT6Xil10lLOw7K8p1Jqs1IqxFK3L25+MRMobsk1K+GoqFfsa4NSartlX59bllsrpZYrpU5ZthnxV18DaaIUtUb1Z98Xi/6Wh9Nb3vz5mTZnNlNHf6TriJu0KlmyJGM++oiPx417deE3yNraiumfDGbN6u3cuhl/obpurT/t245gwfxV9Hq/TTomTFmrVs1xdS3L0qU/pncU8Zo2rVlLpNHIKp/NjJk8keNHfsUUa0rvWMkMGjwI0/PnbNq4Kb2jJJORs4nEHu7fzelu7TjXtzvRRw5RdEziaUGZ8uQlq0txHh3e//eFUoryI/pzeu63yVblLl8GLdaEX7NOBHh1o3i3jmQv6PT3ZQMe7d/F2ffacqF/N6J/PUjh0ZMAyFygEFmLOHOmSyvOvOuFrVsVcrhW+vuCKUW9Uf3ZmUGvi6L37+J8j7ZcHNCNmKMHKTTKXG8xvx4k+tBeis9ZQuGPpvP47Cm0DNbmjh07ka5d32Hz5tXkyJGDZ8+e/T0PrBTVR/Xn8JyUn9M7p86xuX0ftnQdTIXe72CdWUaP/JkKbpWIjTXhUb0mTevUo0efDyhUuPDfG8LamiwFCnNl7ACuf/YxBYeOxyqH7d+b4SXGvOvBoXPXaffxMg6fu4ZjbjusrRSm2FiOnL/BmHcbsGZqT65HPWDjzpPpHVf8i2R63Q2VUmWBzkBtTdOeKaW+AdyBz4CFwEHgjKZpfi8p2xVYAeQADmia9qFSKjNwDuisadohpZQ9kPQmIqOAQZqm7VFK2QJPLR1XJYHqgAK8lVL1gN+AdwA3y9/6K3DkT/6sjwAXTdN+V0rl0jTtgVLqWyBG07TZlr/bB/hB07QflFLvA/OANpZ/QzVNa2vpMLMFclu2KQ38AvTUNO34Sx57EKBpmlZBKVUG8FNKvbg7Y3XAFXgMHFJKbbVkddU0zc3yGM5/cV9uQGXgd+C8Umo+4AAU1DTN1bKvxPOZLJRSfYG+AIsWvfqC57eoO+QwxPfQ53DIx2+R8XN/bXJkI08JZ7yWzgYgW748NP1qGjuGTeLOGX2n+SQVZYzE0Sn+ItbBYCAqwadbr5LD1pavli3lm9lzOHXsmG65Io1GnBLkMjg5EWk0JipjNBpxKlAAo9GItbU1dnZ23L9vHnprMBhYuHgxo0eO5No1fUZPdejYmNZtPAA4c+Yyjo7xU/0cHPJwO+p+ituNG/8B168Z+WXV9hTX+/vtY+xH78PUFFf/JV26dqRTJ3PH1MmTZxJ9amlwdCAyMuplm6ao1tvV6T+gF9269vvbLjgd89hjvBP/KZvx7iMc89jjmNeeg6cuxy2PvPuQ6q7FdH3stB4Hb1JkpBHHAvHZHJ2ciIqMTFImEscC5mPE2toaWzs7HliOhVnT4+8ltGL9WsIvX0lTnu7vdeddy72ajp84QYEE2QwGJ4yRSY7TSCNOhvgyTk4GIhPUbYcO7WnYsAFd3u2aplwZPdsLUZGRGBI9n4Zkz+efbZvwZuuOTgYO79fp3kCY290CTgnrI3m7G2k0UuAl7e6b9Med22R2iB95lDm/A8/u3k5UxvQofgTjXV9vCvYdlGh9bveGPNwTCib93uQ/jbpDNsf483tWx/w8uR1/fs+UIzt2JVyovXgOAFny5qHG3OkcGDGRgs0aErX3ENpzE3/cf8C946fIVa4Uj29GJHuc1/Hszm0yJxitZZNSnUXH19k9X28KfGD+QpCctd357dwpYp+aLz2jD+0je9kK/HbqZZduqRMTdQe7BNdFtg75iElwXZQ5RzbylnCmg+W6KHu+PHh9NQ2fYZOIibyDXYI6t3XMT0xU4vuppMXzu7cTjXKzyfeKetvujaF3/Bep3P5lObd/WQ5A4bFT+eNm2q9BunV7h86dzYPwT548RYECBo5YruKTjkqC5KOXnJwcibS0M5cvX6Fnz74AODsXxcNDn+lcj5Ne6zrm43FU4mvdXMWdafbiWjdvHhp+OY3A4ZO4m+Ba9+GVazx//IRcJVwSLX9dt5O0uQ4ZrM1NeK3r6GRI1uZGGc35IxO0uQ/u36dF69bsDtnJ8+fPuXf3LkePHKZ8xYrcuH5dl2zP7kZhky/+NZQphePg+Z0oHp8/DSYTzyIj+P3mNbIUKMzzu7fJUSH+Hmw2eR347aR+X7LikNsO4734kUmR96JxzG2XrMz8YeYvs/jt6R/4HbqAfY6sOOaxo0wRBwo7mN/iNaxSiuMXb+mWTYi0jFRqCFTB3MlxzPJ7MU3TlgL2mEf4jPqzspZ1JmC95f+lgQhN0w4BaJr2SNO050kedw8wRyk1FMhlWd/E8nMUc8dRGcydTHWBjZqmPdY07RHg/Yq/6QTwk1KqG5D0cV+oBfxs+f+PQB3L/xtg7kxD0zSTpmkv3iXmBzYDXf+kQwnLflZatj8HhAMvOoL8NU27q2naE2BDgsd8nX0Fapr2UNO0p8AZoChwGSimlJqvlGoGpDjHRtO0xZqmVdU0rWrfvn1fEQFunz5PziIFsStowCpTJoo3q094aPw3FTyLecyK+h1Y5dmdVZ7diTpx9m/pUAI4c+IEhZ2LUqBQITLZ2NDEqwU7AwL/0raZbGyY9e03bN2wkUDflDtMXteJ48dxdnGhUOHC2NjY0NLLi0D/xFMWAgMCaNe+PQDNPT3ZZ7l3jJ29PUu//57PP/uMI4cP65Zp3Vp/uncdT/eu49kZcpjmLeoC4OpagpiYJ9y9m/zbI/r174itbXbmzkk82qdw4fjhzbXrVOb6NWPSTVPl55/W0qZ1V9q07kpAQAht2rYAoFIlV6JjYlK8d9LLlC1bimnTxjGg/4fcu/fm3yy+0KBaWTaFHEXTNI6dv4Zd9qw45LGnjltJdh+/yMOYJzyMecLu4xep41by1TtMhbQcB2/a6eMnKOrsTEFLtmZeLQnxD0hUJsQ/kFaWY6GxZ3MO7jW3L1mzZiVbtmwA1KxTB9NzE5cvXkxTnh9X/IinZws8PVvg5+dHO8s3kFWu7EZ0dDS3oxJfdN6Ouk10TAyVK7sB0K59O/wsx7K7ez369e/HB7378PTp0zTlyujZXjh9/ARFnJ3jXmtNvVoS6v/XXmt7Q3dSq24d7OztsbO3p1bdOuwN3albtuNJ2l0vLy/8k7S7/gEBtLe81jw9Pdm79++ZHvv4/FmyFCxMZoMTKlMmctdvxMO9uxKVyZQn/t5xOWvV5em1q4nW527QWNepbwAPzpwjR+GCZC9gQGXKRMEmHkSGxtfJ85jf2NGwHQFeXQnw6sr9k2c4MGIiD89e4IkxinzVKgNgnTUruSuUI+aKPm8IwVxnmRPUWS73xjzc9/I6s09QZ8+iIrGt8BZYWYO1NTkqVtZ1+lvk6fPkKlIQe8t1Ualm9bmc4Lroj5jHLK7fge89u/O9Z3eMJ87iM2wSUWcucDl0H6Wa1cfaxgb7ggZyFSlI5KnzumV7fP4sWQoUxsbRXG853RvzaP+f1FvNuvz+4rVmZYW1nflGzlldSpDVpQTRR9J+W4OVK3/By6sDXl4d8PMLom1b87fNublVJDo6htu3E3eq3b59h5iY33BzqwhA27atCAgIBiCv5d6XSikGD+7Hzz+vSXM+gDunz2NfpCC2BczPqUvT+lxPcq37i0cH1nl2Z51nd26fPBvXoWRbwBB3Y+4cTg7kdC5CzK20XRe9cPp44vN7U68Wf7nN3Re6i5oJ2tyadeuwL3TXqzf8i04dP0ERF2cKFi6EjY0Nnl5eBCc5vwcHBNDa0uY28WzOAcv5PeLmTWq8bb5PUbZs2ahUuTJXLl3SLduTC0mOg3qNid6f+HzzaF9oXOeRtX1OshQswh/Gm8Qc2Y/tWzWwsrXDytYO27dqEHNEvxGiFYo5EW68x42oB/zx3MS2/WfweCvxDc7vRz8mNtY8e2KJzz7auVeI2zb68VPuPTLfv+7AmXCKF0x+31EhXtdrj1TCPCLoB03TEs2xUUplBwpZfrUFol9W1uKppml/+eMzTdNmWkbqeAJ7lFJNLfv/VNO0RMNnlFLD//JfY9YCqAd4AROUUnrc2fUhcA1zR8+ZV5R9maRzq9Iy1yrhXTpNQCZN0+4rpSoBTTF3BnYCUv5ar1TQTLHs+XQBzRd+ipWVFec37eD+pXCqDOzBndMXEnUwpeTdbT9iY5sdaxsbinq8zbb+H/Hgsj6jb0wmE7MmT2X+iu+xtrLGe+1aLoeF0W/EMM6ePMXOgEDKVazArG8XYp/TnroNG9B3+DA6N21O4xaevFW9Gjlz56JlB/Obt6mjxnLh7NlXPOpfyzV10iSWr1iBlbU169asISwsjOEjR3LyxAkCAwJYs3o1X8ydS1BoKA8ePGDYYPMnhe/16EFRZ2eGDB3KkKHmW5D17N6du3f/esfKq+zZc4y3a7uxfuNcnj79nenT4g+5H3/6H927jsfBIQ/v927LlSs3WbHS/I1Ia9f44b05hI6dmlCtuivPnz8n+tFvTJ26ULdsoSF7cHevjX/ARp48ecr4cfFf8bpp80+0aW0edTF69BBaejUlW7ashO7cwtq1m1kwfwljxg4je/ZsfDVvJgARt4wMGPBhmnONnPMLB09d4X70b9T7YCZD3mnEc8uIgXeb1sC9SmlCfz1P44FfkC2LDf8bbL6IymWXnYEdPegw5msABnVsQK4/ueH360jLcQCwZM0qnIsVJ1uO7Gzdu5vpH41j/059LjxNJhP/mzSFhSt+wNraik1r1nIpLIyBI4Zz5uRJQgIC2bhmNf+bM4ctIUE8fPCQMUPMr/s8+fLy7Q8/EKvFEmWMZPxIfb8WPDgoGA8PD0J3hvDkyRNGjxoTt27btq14epo7Nyd+PJHZX8wia9ashISEEhIcAsDUaVPJnDkzK1eaO12PHj3KhAkf/6uzmUwmZk6aysIVy7GytmLzmnVcCgtjgOX5DA0IpHzFCsxZtBD7nDmp17ABA0YMo32T5jx6+JDF8xbwk7d5Kt7iefN5pOM9NEwmE5MmTWLFihVYW1uzxtLujrC0uwGWdnfO3LmEWNrdIYPjR2js3r0bWzs7bGxsaNKkCd27d+diWNifPGIqxJq4Mf8Lis/8EmVlxd3tW3gafgVDjz48vnCWR/t2k79tJ3LWqgMmE8+jHxH+efwovcyOBmzyOxJz4qg+eSw0UywnP59PzQWfoaytuLbZl+jL4ZTu35MHZ84TufPl5/crazZRecoY6q/5DqUU17y38+ji5ZeWT7VYEzcXzKbY/74CKyvu7djC7+FXcHyvD08unOPR/l3ka9OJnDXroplMmKIfcX32dAAe7ArC1q0KpRf/BJpG9OH9PNq/W7domimWkE8X0GbhpygrK85s2sG9S+HUHNiDyNMXuPIn10X3LoUT5reTbhuXoplMBP9vPpqe90SJNXHrm9m4fGKut/t+5npz6N6HJ2HniN6/i7ytO2GfoN5ufGGuN2WdiWKzzdcDsY9/4/rnU0Dn6W8hITupX78uQUG+PH36hLFj46d5+visw8vLPKJp8uQZfP75DLJkyUpo6C5CQsznJC8vT7p1M4/o3LEjgHXrNuqSSzPFsn/mAhpbntOLm3fw4FI4bgN6cPfMhUQdTEk5VHalwvud0Z6b0GJj2f/pPH5/oM+9E00mE59NmsrXK77Hytoa7zXm83v/EcM4k+D8/sUi8/m9XsMG9B8xjI6WNnfpvK9Z6W2uoyXzFuje5n4yaTKLV6zAytqKjZbz++CRIzh94iTBAQGsX72amXPn4hsazMMHDxk1eAgAq1b8yIzZs9jsvwOlFBvXruPCuXO6ZSPWxK2Fs3GeMQ9lZcV9Px9+v3YFh259eRJ2lugDu+I6j0p8+wvEmjB+Nz9uFF/UqmUU//J7y/+/wxSj370wM1lb8fF7Tfhg1mpiYzXa1atIyUL5mbd+J64uTjR4qyQHz15jzppQlIKqpQszqYf5SzisrawY/W4Des1chaZBeWdHOnq46ZZNCPW694JRSpXDPAKntqZpUUqpPIAd5tFJEZhHx7yraVrLl5XVNC1cKRWjaZqtZZ9Jp7/ZYZ7+VgcYZdlXcU3TLlnKr8M8IucxMB1oqGlajFKqIPAMc+fWcqAG8dPfFr2Yypbk77ECimiadlUpZWPJXw7oDdhrmjbZUs4bWKtp2o9KqZ5Aa8uUt1+A/ZqmfZlk+tsWy+PvAL7RNO3npI9t2e9IoLymab0tU9X8MY8uehf4H+bpb0+AA5g7fK4Av2qaVtSyvTOwRdM011fsq6qmaYMt22wBZgOngD80TXuklHIFVr6YVvcntMWV9PnmDD31Pe5PVZcSry6YDg5fuUjxosm/cjkjuBQeTo1qXdI7RjIHDpkPl9KlUrwVWbo6f+GQ+T+n1/95wfRQvn2GPg4qOus7jU8vJ65exrmoy6sL/s2uhpun7mXkbG7OxdM5SXLHrpo/vXbOgO3u1fBwjjbS99ux9FI5YB/eVRqmd4wUtToSyPEmNdM7RjKV/MyjEb7KgNdFw46bR6mdbJbx6q3C9v0UL+6a3jFSdOnSKZa7ZbznE6DnMX/ecs545/hfr5pHBJfPgOeq05Zz1SnPGq8o+fdz3WaeWhh78Pt0TpKcVfVeYB688a8UNbxGxrkpbgIOXx74x9X5a49U0jTtjFLqY8z367HC3IkzEqiGufPIpJRqr5TqpWna9ymUHYS54ybhPv9QSnUG5iulsmHuREn8/Zcw3HLj6VjgNOBruQdSWWCfUgogBuimadqvSqnVwHEgCjj0J3+SNbBSKZUT88Ezz3JPJR9gnVKqNTDE8vO9Umo0cBvoZdl+GLBYKdUb8wigAZg719A07TelVEvA39KJltI0vG+AhUqpk5in3vW0/F1gvj/VesydZCs1TTsMoJTaY7k5ty/w9V/cV0oKWv6mF9Mh0/cOz0IIIYQQQgghxBuixWbIPqV/pLRMf0PTtNXA6iSLayZY3+4VZXkxSinB74cS7sMixPKDpmlDXpLlK+CrFJZ/Anzy8r8irtwzUrhXkaZpF4CKSRY3SKFcJNA6hV27WtY/wNzh9rLHf0p8B1VSNzRNS/Y1WZqmJR1a8uKxUtyXpmnLMY/cevF7ywSr30paXgghhBBCCCGEEOJl0nKjbiGEEEIIIYQQQgjxH5WmkUr/VEqpr4HaSRZ/pWnaG5/Marmx+GdJFl/RNK1tSuWTji4SQgghhBBCCCHE69NMMv1NL//JTiVN0wal42PvwHzTbiGEEEIIIYQQQoh/LJn+JoQQQgghhBBCCCFSTTqVhBBCCCGEEEIIIUSqSaeSEEIIIYQQQgghhEg16VQSQgghhBBCCCGEEKn2n7xRtxBCCCGEEEIIIf6bNFN6J/j3kJFKQgghhBBCCCGEECLVpFNJCCGEEEIIIYQQQqSaTH8TQgghhBBCCCHEf4Zm0tI7wr+GjFQSQgghhBBCCCGEEKkmnUpCCCGEEEIIIYQQItWUpsmwL/Fa5IUjhBBCCCGEEP9eKr0DvCk3elfNkO9nC313+B9X53JPJfHa3ilbNb0jJPPL2cO0KFUpvWOkaOuF45QuVS29Y6To/IVDOBctmt4xkrkaHg6QIevt/IVDAFR1KZHOSZI7fOUinF6f3jFSVr59hqwzMNdbuaIu6R0jmTPhVwCoV7xsOidJbuelswDUdCmVzkmS23/lAgBvFyudzkmS23v5PNVdSqZ3jBQdvBKWIesMzPWWEduPw1cuAtCqlFs6J0nO+8IxAOpnwPYj5NJZnDNgmwtwNfwK0yo2SO8YKZp0Iog+5Wuld4xklpzeB2Tc9weQsc+jGbHd3Xv5fHpHEP8QMv1NCCGEEEIIIYQQQqSadCoJIYQQQgghhBBCiFSTTiUhhBBCCCGEEEIIkWrSqSSEEEIIIYQQQgghUk1u1C2EEEIIIYQQQoj/DM2U3gn+PWSkkhBCCCGEEEIIIYRINelUEkIIIYQQQgghhBCpJtPfhBBCCCGEEEII8Z8h09/0IyOVhBBCCCGEEEIIIUSqSaeSEEIIIYQQQgghhEg1mf4mhBBCCCGEEEKI/4zY2PRO8O8hI5WEEEIIIYQQQgghRKpJp5IQQgghhBBCCCGESDXpVBJvVKU6tZizbT1fbt9Iqw96JFvv2aMrs33W8NmmVXy87BvyFTAkWp8tRw6+Dt5Kr4/H6J6tSt23WbR9M0v8fejY9/1k69v06s7CbRtY4L2WT35YTP4CTnHrGrb1YrGfN4v9vGnY1kv3bBM+/hA//w14e/9MuXKlUywzfMQAQkK38OvR0EQoTsCMAAAgAElEQVTLe/bqwtZtq/H2/pnlP3xDgSR1mhbu7u4EBgUREhrKgAEDkq3PnDkzCxYsICQ0lE2bNlGoUKG4dQMHDiQkNJTAoCDq1aunW6aEMmq91apXj/WBfmwMDqRH/37J1leuXo2VPpvZH3aOhs2bJVo3b/kygo//ytyli3XL88K4Beup1fMTWg77MsX1mqYxY6kPjQfOxmvEPE5fuhm3bmPwrzQZ9AVNBn3BxuBfdc/2unVWqmxZlq1fy+odvqzy3ULjFp66Z6vjXo+tQYFsDw3mgwH9k623yZyZLxbMZ3toML9s2kiBQgUBaNmmNRu2bY37OXXlEmXKldU1W/V6dVjpv42fg7bTtd8HydZXqlaVpZvXE3T+JO7NmiRa5+DkxBfLl/Ljji2s2O6DoWABXbPVrFeX1YHbWRvsT/f+fZOtd6telR98NrI77AwezZvGLTcULMAPPhtZsXUzP+/YStsu7+iaC6BGvbqsCtjOmiA/uvfvkzxbtap8772BnRdOJ85WoADfe29g+ZZNrNy+hTZvIFvNenVZG7iD9cEBvJdCvVWuXo0VPpvYG3aWBgmOhZJly/Ld+jX8smMbP/n60EjnY+F16+yF7LY52LQnlJFTJuqaCzJ2+/FW3bf5ZvsmFvl7075vr2TrW/fqxoJt65nnvYbpPyxKdO0xZenX/Hx4FxMXzdM9F5jbjxX+2/gpaDtdUmg/KlaryuLN6wl8Sfsxa/lSftixheVvoP0AmDxlMiGhwfhu96W8a/kUy7i6urJ9hy8hocFMnjI5bvm48eMIDAzAd7svixZ9i729nW65iteuxkDvHxi85Udqv/9usvVVOnrRb/1S+q5ZTM/lX5GvWFEAchZwZNxBX/quWUzfNYvx/Hi4bpkAytepyfQtv/CJ71qafdA92frGPd5hqvfPTN7wIyO/m08ep/jrnvYfDmLq5p+Y5r2Kd8aN0DUXZOz3B2k5jwZfOMV3Phv4zmcDny76WvdsGbndFf9t0qkk3hhlZcX7E8cys+9QPvTqSO0WTSlY3CVRmatnzzG+Y3fGtnmXA36BdB01NNH6TkP7c+7wUd2zWVlZMWDyeCb3GcgAz7bUa9mMwsWLJSpz+cw5hrfrwuBWHdmz3Z/3x5hPqrY57ekyuD8jO3ZjZIeudBncH1sdL07qub+Ns3MRmjRux8SJ/2PK1I9SLBcctIuOHZKfiM+eOU/7du/RqlUXdmwPZPSYoSlsnXpWVlZMmz6dnj160LhRI1q1akWJkiUTlenUuTMPHz6kvrs73333HR99ZM5eomRJvLy8aNK4MT169GD6jBlYWenb/GTkehs7bQpDe/amY5NmNG3VEpcSJRKVMd68xZTRY9jh7ZNs+x8XL2HSyFG6ZEmqncdbLJ3Y86Xrd/56gasRd/H7+kOm92/DlMWbAXgQ/ZgFawJZM3MAaz8byII1gTyMeaJbrrTU2dOnT5j84Sg6N23OkB7v8+Gkj7G10+/4tLKy4uPp0+jXoydejZrg2aoVxUsmzta+cycePXxIM3cPfvjuOz60HAdbNm2mnWcL2nm2YOyIkdy4fp1zZ87qmm3ElImMfr8v7zX1oqFXC4qWKJ6oTOStW/xvzDgCfLYm237C7JmsWrKM7k1b0q9dZ+7fvadrtlHTJjOiZx/ebeJJk1YtcU6a7WYE00d/hJ/3lkTL70Td5oP2nXivRWt6t+3IewP6ks/BQd9sUyfxYa8P6NK0BY28kmcz3opgxphx+CfNdvs2fTt0pmfLNvRp14nu/fvonm3MtCkM6/kBnZs0f+mxMG30WPySHAu/P33ClA9H805TT4b16M3ISRN0OxbSUmcv9B0xnGOHDumSJ2m2jNx+9Js8jql9BjHIs91Lrz1GtuvK0Fad2Ls9gJ5j4jsaNnz3A3NHT9AtT9Jsw6ZMZOz7fenR1IsGKbQfUbduMfMl7cf42TP5ZckyejRtyQCd2w+A+h71cXFxpr67B+PHjeOTGTNSLDfjkxmM+2gc9d09zOXruwOwe9dumjRpSvNmzbly5QoDBw7UJZeysqL5+GH8POAjvmnTi/LNG8R1Gr1wclsgi9p/wOJOfdm7fDVNRsd/KHf/xi0Wd+rL4k592TYj5Q94XjdXlwkf8lX/kUxq9S7VPRvjVNw5UZlrZy/wSadeTG3XnSN+QXT4cBAAxd0qUKJyRaa07c7kNl1xdi1LqWqVdc2Wkd8fpOU8+vvTp/T2akdvr3aM6zdI92wZtd0VQjqVxBtTomJ5jNeuE3XjJqZnz9m7zY+qDdwTlTlz8Ah/PP0dgLDjp8jj6Bi3zqVcGXLmy8uJPft1z1aqoiu3wq9jvH6T58+es3Prdmo2qp+ozIkDh/j96VMAzh07ST5H8xuFKnXe5uie/cQ8fETMo2iO7tlPlbq1dcvWsKE7mzaaT1THj5/C3s6O/PnzJit3/Pgpbt++m2z5gQNHeGqp02PHTmJw1OcNjpubG+FXr3L9+nWePXuGj48PTRo3TlSmSePGrF+/HoBt27bxdu3acct9fHz4448/uHH9OuFXr+Lm5qZLrhcyar2Vr1SJ6+Hh3Lx+nefPnuHnsxX3xo0SlYm4eZOL584Tm8IdAw/t3cfjmN90yZJUtfIu5LTL/tL1gQfP0KZ+ZZRSuJUuwqPfnhJ17xG7j4VRu2IJctllJ6dtNmpXLMGuoxd0y5WWOrt25SrXr4YDcCcqint375I7bx7dslVwq8S1q+HcsBwHvj4+NEhyHDRo3JhNluPAb5svNWu/nWw/LVp54euT8kXf6ypbqSI3w68Rcf0Gz589I3DLNuo0apCojPHmLS6fv4CWpN6KliiOdSZrDu/ZC8CTx4/j2j89lKtUkRvh4dyyPKf+Plup95LnNGm258+e8eyPZ4B5FJhS+l66xGcz11vAlq3UbdwwURnjzZtcSuH1liybzp3l5ZPUm5/PVuolyRZ/LGiJlic9Fu7reCykpc4ASruWJ0++vBzctUeXPAll5PajZEVXIsKvE2m59ti1dQc1klx7nDxwmD8sx975YyfIl+C66MS+gzz57bFueRIqk6T9CNqyjdqpbD+OvKH2A8zXERvWbwDg6NFj2Nnbk98hf6Iy+R3yY2dry9GjxwDYsH4DTZqYR5Ls2rULk8lk2f4oBid9RiMXdC3D/Ws3eXAzgtjnzzm9PYjSHonb/D8SPGc22bKCpiXdje5cKpTj9vUb3LlxC9Oz5xzaFoCbR+JR4ucP/hp3DX75+GlyG8zXPZqmYZM5M5lsbLDJbIN1pkw80rGTMCO/P0jLefRNy8jtrhDSqfQ3UEp1U0odVEodU0otUkoVVUqFKaXyKaWslFK7lFJNlFLOSqlzSqmflFJnlVLrlFLZLfuoopQKVUodUUrtUEo5WZaHKKU+s+z/glKqrmV5+QSPeUIpVfIlWawtP8uVUqeUUieVUrqMc83j4MBdY2Tc7/cio8jzJ2/UPdq35tiuvS/qjO5jR7Dyc/0+tUkor6MDd4zGuN/vGKPIm+CElVSTjm05vHNP3La3IxJuG0lenTogABwd82NMUG/GyCgcX3P/HTq2ZufOvfrkMhi4FRER93tERASOBkPyMrduAWAymYiOjiZ37tzJtzUak22b5nwZtN4cDI5EJvjbo4xGHAwvf61lJJH3HmHIlzPud0NeeyLvPSLybuLljnlzEnn3kW6Pq1edla9UERsbG26EX9Mtm6PBgDFBNmOEEYdkx4EjxlvmMi+Og1y5cycq08yrJVs3e+uWCyCfowNRCdqm28ZI8v9Ju5ZQYRdnYh5FM+ObeSz1Xs+Aj0bpOpowv8ExUbYoo5H8qXhOHZwMrPT1xntvKD8uWsKdqChds0UmrLeIv15vL7Kt2ObNpj0hrNQ9myHZsZCaenuhXKWKZLLJrNuxkJY6U0oxZPxY5n/6mS5ZksrI7Ufya48/v35o3LEtR3bu1u3x/0z+JNc2r9N+TPtmHku819Nf5/YDzO3qrVsJ2l5jBAbHxG2vwdFAhDHhdYoRxxSe+46dOhESEpps+euwc8zHw8j4Y/5R5B3sknR2AVTt3JrBW1fSaERfts9cELc8V0EDfVYvoseyuRR5q4IumQByOebnXkR8rvuRUeRyTJ7rhTrtvTi1ax8Al4+f4tzBX5kd4sOskC2c3nMA4+Vw3bJl5PcHaTmPAmTOkoXFm9aycN0v1EnS4ZNWGbnd/afSTBnz559IOpXeMKVUWaAzUFvTNDfABLgDnwELgQ+BM5qm+Vk2KQ18o2laWeARMFApZQPMBzpomlYFWAZ8kuBhMmmaVh0YDryYQN4f+MrymFWBGy/J0hVwAwpqmuaqaVoF4Ps3URd/po5Xc4q5lsXnuxUANHm3I0d37uFepH4X56/Lo1ULSrqWY/3S5ekdJVVatWqOq2tZli79Mb2j/KNIvf075M2fn2lzZjN19Edof8OnwqlR0c2Np0+ecPGCfqO70sra2pqK1arw9aef069tJwoULkzz9m3TO1acqAgj3Zq3okP9xni2b0uefMlHIaaXqAgj73m2opNHEzzbtSV3BsoG5mNh6pxZTM8gx0K7bl3YF7KT2wneVGY0GaH9qN/KkxKu5diw9Id0efzUsLa2pkK1Kiz89HP6t+2EU+HCNMtA7UdCgwYPwvT8OZs2bvpbH/fw6s0saNGNwC8XU7dvNwBibt/jqybvsqRzP/xmfUPbmRPInOPlo4fflBotm+Jcvgw7lv0EQP4ihXAqVpQxDVszpkErytSoQsm3Kv3tuSBjvz9ISad6DenbpiPTRoxiyMfjKFCkcHpHAv4Z7a74Z8uU3gH+AxoCVYBDSimAbECUpmlTlFIdMXf+JJwHdF3TtBfjElcCQ4HtgCvgb9mHNRCRYJsNln+PAM6W/+8DJiilCgEbNE0LU0qlmAXwAYoppeYDWwE/UqCU6gv0BVi0aNEr//B7UVHkTfAJUR5HhxRPAq61qtO23/tMfa8vz5+ZpxGUdKtAmSqVafJuB7Jkz04mm0w8ffyYVXMWJNv+ddyNjCJfgtEF+QwO3I1M3tC6vV2DzgM+YGzX3nHZ7kZGUaFGtQTbOnLyQNrmJ3fp2pFOndoAcPLkGQwJ6s3g6EBkKk+etd6uTv8BvejWtR/PLLnTKtJopIBT/A1DnZyciEzwiWtcmQIFMBqNWFtbY2dnx/3795NvazAk2/Z1/BPqLcoYiWOCv93BYCDqH3JSd8xjj/HOw7jfjXcf4ZjHHse89hw8dTlueeTdh1R3LZbSLl5LWussh60tXy1byjez53Dq2DHdcoH5NW5IkM3gZCAq2XEQiaGA+fh4cRw8uH8/bn1zr5ZsS+H+WWl1JzIKhwRTOvIbHLmdQruWktvGSC6eOUfE9RsA7PIPpLxbJbauXa9LttvGyETZHAyG17q4vRMVxeXzF6hUrSrBvjt0y+aYsN6c/nq9Jct2IQw3XbMZkx0Lqam3HLa2zF22hIWz5+p6LKSlzlzfqkylalVo1+1dsmXPgY2NDU8eP2bh51/oki0jtx/Jrz0cuZvCearS2zXoOOADxie49njTbkdGkV+n9mO3fyDl3CpBGtuP7u915913zDe/P37iBAUS3LTcYHDCGJm47TVGGnEyJLxOMRCZ4Lnv0KE9DRs2oMu7XdOUK6HoyDvkTDDKxt4xH9FRt19a/pRvMJ4TzPfJMj17xpOH5uc34mwY96/fIm/RQkScSfsHDg8ib5PHKT5XbkcHHkQmz1W2ZjVa9O3JrJ4D415rlRu6c/nEaX5/bL5X4qnd+ynm5krYr8fTnAsy9vuDtJxHX2wPEHH9BscOHKRkubLcunZdl2wZud0VQkYqvXkK+EHTNDfLT2lLh1J24MVXY9kmKJ/0IzHNso/TCfZRQdO0hF838LvlXxOWjkJN034GWgFPgG1KqQYvy6Jp2n2gEhCCuZNraUp/iKZpizVNq6ppWtW+fZN/A01Sl06ewVC0MPkLFsDaJhNvezbhSPDORGWcy5amz5TxzBo0kkf34t90LRgzkcENWzKkUSt++vxLdm3eptsJA+DCydMUdC6CY6GCZLLJRL0WzTgQmHgodLGyZRg8bSLT+g/j4b34ueRHdu+lcu1a2NrbYWtvR+XatTiyO21TpX7+aS1tWnelTeuuBASE0KZtCwAqVXIlOiYmxXsAvUzZsqWYNm0cA/p/yL0EdZpWx48fx9nFhUKFC2NjY4OXlxf+/v6JyvgHBNC+fXsAPD092bvXXC/+/v54eXmROXNmChUujLOLC8d0uFj/J9TbmRMnKOxclAKFCpHJxoYmXi3YGRCo2/7fpAbVyrIp5CiapnHs/DXssmfFIY89ddxKsvv4RR7GPOFhzBN2H79IHbeSr97hX5SWOstkY8Osb79h64aNBPpu1y3TC6eOn6CoizMFCxfCxsaG5l5eBPsHJCoTHBBAG8tx0MSzOQf27otbp5SiWcsWb6RT6dyJkxRyLopToYJksrGhYUtP9gQG/+Vtbe3tyJnHPE3vrVo1uHrxkm7Zzp44SWFnZ5wsz2ljrxbs+ovPaX6DI1myZAHAzt6eStWqcO3yFV2zFUqQrVHLFuwOCPrL2TInyFax6luE65jtjKXeEh4Lf7XeMtnY8Pm3X7NtwyaCdD4W0lJnU0eMol0dD9rXa8iCTz/Dd+MmXd/YZOT2I+zkaQo4F8GxUAEy2WSiboumKVx7lGbgtI+Z0X84D3U8F73KeUv7YbC0Hw1aerI3De1HuA7tx48rfsTTswWeni3w8/OjXft2AFSu7EZ0dDS3k3Te3I66TXRMDJUrmz+rbde+HX6W6xR393r069+PD3r34amO93u6efoceYoWJFdBA1aZMlG+WQMuhOxLVCZPkYJx/y9Vryb3rpm/STV77pxx92HLVdCJPEUKcf9GBHq4euosDkUKk6+gE9Y2majm2YjjwbsSlSlcphTdJo9hweDRRCd4rd2LMFKqamWsrK2xzmRNqaqVidBx+ltGfn+QlvOorb09NpltAMiZOxcVqryl+3k0o7a7/1SxsSpD/vwTyUilNy8Q2KyUmqtpWpRSKg9gB4wCfgLCgSVAS0v5IkqpWpqm7QO6ALuB80D+F8st0+FKaZp2+mUPqpQqBlzWNG2eUqoIUBHzCKSUsvwG/KFp2nql1HnMI6TSLNZk4vsZsxi/dD5WVtYEb/DmxsXLdBzSj8unznIkeCddRw8lS/ZsDJ87E4A7EZHMHjRSj4d/ZbaF0z5l+ncLsbK2wn/dJq5dvES3oQMJO3WaA0Gh9B47gqzZszNu3iwAbt8yMm3AMGIePuKXbxYzd/3PAKz6ehExD/W7n0xoyB7c3WvjH7CRJ0+eMn7ctLh1mzb/RJvW5k/YRo8eQkuvpmTLlpXQnVtYu3YzC+YvYczYYWTPno2v5pnrNOKWkQEDPkxzLpPJxKRJk1ixYgXW1tasWbOGsLAwRowcyckTJwgICGDN6tXMmTuXkNBQHjx4wJDBgwEICwtjy9at+AcE8Pz5cyZNnJjiTQTTIiPX26zJU5m/4nusrazxXruWy2Fh9BsxjLMnT7EzIJByFSsw69uF2Oe0p27DBvQdPozOTZsDsGTNKpyLFSdbjuxs3bub6R+NY//OXa941L9m5JxfOHjqCvejf6PeBzMZ8k4jnltuZPpu0xq4VylN6K/naTzwC7JlseF/g80dJbnssjOwowcdxpi/LndQxwbk+pMbfqdWWuqscQtP3qpejZy5c9Gyg/kNyNRRY7lwVp9vWTOZTHwyaTJLVqzAytqKjWvWcjEsjMEjR3D6xEmCAwJYv3o1n82dy/bQYB48eMiowUPitq9aozrGWxHcuK7PJ5dJs305dQazly/FysqKbes2cDXsIu8PH8L5k6fYExhMmQquzFg4H7uc9rzdwIP3hw2hR3MvYmNj+ebTWXz54/copTh/6jQ+q9fqmm325Gl8teI7rKys2bJ2HVfCLtJnxFDOnTzFroAgylaswGfffo1dTnvqNPSgz/ChdGnaApcSxRk64SM0DZSCn5Ys49J5/aYOmkwm5kyZxtwflmJtZc2Wteu5EnaRD4abs+0ONGf7dOGCuGy9hw2hWzPzN+8MGW+eIqWUYtWSZVzWOdusyVOZt2IZVlbW+Kxdx+Wwi/QdMYyzJ0/G1dvn335jORY86Dt8KO809aRRi+ZUrl6NnLlzJzoWwnQ4FtJSZ29aRm4/Yk0mFk2byRTLtUfAus1cv3iJLkMHcPHUGQ4GhdJz7AiyZc/O2Lhrjwg+GWAe2fLpz8soVMyZrNmzs2znDuaPn8LR3fv+7CH/MpPJxFdTZzDL0n74WtqPXpb2Y29gMKUt7YdtTntqNfCg57Ah9LK0Hws/ncUcS/tx4dRptujYfgAEBwXj4eFB6M4Qnjx5wuhR8V8lv23bVjw9zR8qTfx4IrO/mEXWrFkJCQklJDgEgKnTppI5c2ZWrjRPbT969CgTJnyc5lyaKRbf/82n68LPUNbWHNvky+1LV6k/sCe3zlzgQsheqr3bBpcaVYh9/pynj6LZ/LH5vjZFqlSk/sBexD5/jqZpbJsxl6ePotOcCcyvtZ8/+YLhi79EWVmxZ+MWbl26QqvBfQg/fZbjwbvpMGowWbNnp/9c8x017kZE8vXgMRzxC6ZMjapM2bgSDY3Tu/dzIkS/e3tl5PcHaTmPOpcoxqgZU4mNjcXKyoqfvl2iS+dqwmwZtd0VQmWE+fX/dkqpzsA4zCPDngEjMd9TqbamaSal1AbMU9CCMU91O4x5mtoZoLumaY+VUm7APCAn5s7ALzVNW6KUCgFGaZp2WCmVDzisaZqzUuojoLvl8YxAF03T7qWQZRDm0UzfEz9ybZymab6v+LO0d8pWTXPd6O2Xs4dpUSp95n2/ytYLxyldqtqrC6aD8xcO4Vy06KsL/s2uhps/GcuI9Xb+gnnKY1WXEq8o+fc7fOUinNZn2pLuyrfPkHUG5norV9Tl1QX/ZmfCzSNf6hUvm85Jktt5yfxmu6ZLqXROktz+K+bOnbeLlU7nJMntvXye6i76je7T08ErYRmyzsBcbxmx/Th85SIArUrp+62mevC+YB4VXD8Dth8hl87inAHbXICr4VeYVrHBqwumg0knguhTvlZ6x0hmyWlzB2dGfX8AGfs8mhHb3b2Xz4N5psu/0qVO1TJkR0jxNYf+cXUuI5X+BpqmrQZWJ1lcM8H6dgBKKWfguaZp3VLYxzGgXgrL6yf4/x0s91TSNG0mMPMvZgF461V/hxBCCCGEEEII8U+n86SJ/zS5p5IQQgghhBBCCCGESDUZqZSBaJp2FfO3vAkhhBBCCCGEEEJkaDJSSQghhBBCCCGEEEKkmnQqCSGEEEIIIYQQQohUk04lIYQQQgghhBBCCJFqck8lIYQQQgghhBBC/GdopvRO8O8hI5WEEEIIIYQQQgghRKpJp5IQQgghhBBCCCGESDWZ/iaEEEIIIYQQQoj/jNhYld4R/jVkpJIQQgghhBBCCCGESDXpVBJCCCGEEEIIIYQQqSadSkIIIYQQQgghhBAi1aRTSQghhBBCCCGEEEKkmtI0Lb0ziH8meeEIIYQQQgghxL/Xv/Zu1udaV8+Q72fLbD74j6tz+fY3IYQQQgghhBBC/GfEmtI7wb+HdCqJ11aveNn0jpDMzktnqepSIr1jpOjwlYsUL+6a3jFSdOnSKVycS6Z3jGSuXA0DoEzpGumcJLlz5w8AUNG5WDonSe7E1csZ+jjg9Pr0jpGy8u1xLuqS3imSuRp+BSBDth+XLp0CYHGlxumcJLm+x/0BKOZSOp2TJHf5ynkalSif3jFSFHDxNK1KuaV3jBR5XzjG28Uy3vO59/J5AN4pWzWdkyT3y9nDAFQomvHOVSfDL1OiaNH0jpGii+HhtCldOb1jpGjT+aMZsv0IuHgagDJFndM3SArOhV8FyND1llGvJ4X4K+SeSkIIIYQQQgghhBAi1WSkkhBCCCGEEEIIIf4zYmP/cbcuyrBkpJIQQgghhBBCCCGESDXpVBJCCCGEEEIIIYQQqSbT34QQQgghhBBCCPGfocn0N93ISCUhhBBCCCGEEEIIkWrSqSSEEEIIIYQQQgghUk06lYQQQgghhBBCCCFEqkmnkhBCCCGEEEIIIYRINelUEkIIIYQQQgghhBCpJt/+JoQQQgghhBBCiP+M2Nj0TvDvISOVhBBCCCGEEEIIIUSqSaeSEEIIIYQQQgghhEg16VQSb1T1enVY6b+Nn4O207XfB8nWV6pWlaWb1xN0/iTuzZokWufg5MQXy5fy444trNjug6FgAV2z1apXj/WBfmwMDqRH/37J1leuXo2VPpvZH3aOhs2bxS0vVbYsy9avZfUOX1b5bqFxC09dcwFMmjSOoKBtbN26gfLly6ZYxtW1HNu2bSAoaBuTJo2LW16mTGnWrl3Jtm0bWLx4Aba2OXTNNnnyRIJDAvD19aF8+XIvyVYe3+1bCA4JYPLkiXHLhw0fwr79u9i6zZut27ypX99d12wTJoxkh986NnuvpFy50imWGT68P8Eh3hz5NTjR8s7vtMXb+yc2bvqRn35eTPHiLrrlqu1eD+/AALaEBPH+gP7J1ttkzsznC+axJSSInzZtoEChggBksrFh2qzPWb/dl7W+W6las4ZumV7IqMfBuAXrqdXzE1oO+zLF9ZqmMWOpD40HzsZrxDxOX7oZt25j8K80GfQFTQZ9wcbgX3XN9cLkKZMJCQ3Gd7sv5V3Lp1jG1dWV7Tt8CQkNZvKUyXHLPT098fPfweUrl6hQoYLu2TJq+1Ho7ap02ryMzj7LqfR+55eWc2lYh77H/clXrhQABWu+RdtVX9Nh3WLarvqaAtXddMuU0KTJEwgK9mObr/eft22+3gQF+zFp8oS45fPmz2XL1k1s2bqJnbsC2bJ1k265qtWrw/d+W/gh0Jd3UjiPVqhWhYWb17Lj3HHqJjiPVqpZnW+918f9bDv9K283aqBbrrfqvs032zexyKZMCSAAACAASURBVN+b9n17JVvfulc3FmxbzzzvNUz/YRH5CzjFrZuy9Gt+PryLiYvm6ZYnoRr16rIqYDtrgvzo3r9PsvVu1aryvfcGdl44jUfzpnHLDQUK8L33BpZv2cTK7Vto0+Ud3bNVqlOLOdvW8+X2jbT6oEey9Z49ujLbZw2fbVrFx8u+IV8BQ6L12XLk4OvgrfT6eIzu2Wq718M7KICtoUH0fsm5ataCeWwNTXKuypSJGV/MYsMOXzYH+tF74ADds9Vzd8cvKIjA0FD6DUi+/8yZM/PVggUEhoaybtMmChYqlGi9U4ECHD9zht59++qaq3Ldt/l6+0YW+m2mXZ/kx0Grnt2Yv3U9X3qvZtrybxMdB5OWLuCnQzuZ8O1XumZ64XXbDoA+Yz5kqe9mvtvuzaCJ45Jtm1Z13N3xDQpkR2gIfVJ4Pm0yZ2bOggXsCA1hdZLns1SZMvyycQM+/n5479hO5ixZdM2WkevtVdeTVapXY/UWb369eIHGzZsnWteqfTt8goPwCQ6iVft2umf7J4qNVRny559IOpXEG2NlZcWIKRMZ/X5f3mvqRUOvFhQtUTxRmchbt/jfmHEE+GxNtv2E2TNZtWQZ3Zu2pF+7zty/e0/XbGOnTWFoz950bNKMpq1a4lKiRKIyxpu3mDJ6DDu8fRItf/r0CZM/HEXnps0Z0uN9Ppz0MbZ2drplq1+/Ls7ORWjQwJMJE6YwbdrEFMtNmzaR8eOn0KCBJ87ORXB3rwPAp59OZdasL/H0bIefXyB9UrjIef1s7ji7FMWjfiPGjZ/IjE+mpVhuxoypjBv3MR71G+HsUhT3+vXi1i37bjktPFvRwrMVISGhumWrV+9tijoXpmmTDkyaOJPJU1K+4A4O3k2njsnrZIuPH61adaVtm+4sXfojH40bpksuKysrxk+byoCevWjTuCnNW3lRLMlrrV2nTjx6+IiW9Rvw43fLGP7RWADav2N+Q9O+WXP6dXuPURPGo5R+J5uMfBy083iLpRN7vnT9zl8vcDXiLn5ff8j0/m2YsngzAA+iH7NgTSBrZg5g7WcDWbAmkIcxT3TLBVDfoz4uLs7Ud/dg/LhxfDJjRorlZnwyg3EfjaO+u4e5vKUT9fyF8/TvN4CDBw7qmgsybvuhrKyoM34IvgPHs7btB5Ro5kGuYkWSlbPJng3Xrm2JPHE2btnTBw/ZMXQS6zr0JWTiLDw+GatLpoTq16+Hs7MzDTyaMH7cRKbPmJJiuekzpjBu3EQaeDTB2dkZd3dz2zZ0yAhatmhDyxZt2L7djx3b/XXJZWVlxZApExjfuz+9m7XCo6UnRZKcR6NuRfD5mAkEJTmPHt9/kP6t2tO/VXtGd3+fp0+ecmT3Xt1y9Zs8jql9BjHIsx31WjajcPFiicpcPnOOke26MrRVJ/ZuD6DnmOFx6zZ89wNzR09Iulvdso2aOokPe31Al6YtaOTVEuckdWa8FcGMMePw996SaPmd27fp26EzPVu2oU+7TnTv34d8Dg66ZVNWVrw/cSwz+w7lQ6+O1G7RlIJJPsC4evYc4zt2Z2ybdzngF0jXUUMTre80tD/nDh/VLdMLVlZWTJg+lYE9etG6keVcVTLJuaqz+VzVwt18rhphOVc1aeFJ5syZade0OZ1btKJjl3fjOpz0yjZl+nR6/5+9+46PougfOP6ZFJoQFEjuQjFBQKSF8JPyIC2UBAiEjqJIeR4RpCiCCtLBLiDoI4qFoiAWOgQSSipFEVFICD1AIiV3CUWKFEkyvz/uCJdCCVnI+fh9v168uNud3ftmbndmb3Zmtl8/2rVpQ8dOnaharVq2ND2feopz587RukUL5s+dy6jXX8+2ftyECWyKiTEsputxDZr4Om8MGMaLHbrTrGM7KuY8D/bt55XuvXm501P8uD6Sfq/duLZYOWcBH44ab2hMjrHdbdlRs54/tR6vx8AOXXk+uAvV/WpTt1EDQ2Ob+OYbPN+vPx3bBNKhUyeq5DjWejz1JOfPnaNtiwC+njuXV+zfp6urK9M+nMmkseMICQyi71O9SL92zdDYnDnfbnc9mXLyJONfHUX4qtXZlnuULs0Lw1+id5euPNO5Cy8Mf4lSHh6GxSbEPW1UUkq9pJTap5RaVMD99FdKlXd4P0cplfdtxELgGI9SKkkpVe4WaQ3Jk3tFKdVJKfX67VPeXo26fpxI/p2UY8dJv3aNyDVhNM1xl9Ry4iRHDhxE55gpzadqFVzdXNmx1XYBfPnSJa5euWJEWADUqluXY8nJnDh2jPRr19gQupYWgW2ypUk5cYLE/QfIzBHb70eTOJaUDMCp1FTOnD7NQ2XLGBZbmzYtWbHCVhns2hWPh0cpPD2zH1KenuUoWfIBdu2KB2DFitUEBtrytnJlH7Zv3wHA1q0/0bZtoGGxBQa1Yfly2x34XTt34VGqFJ6enjli86RkqZLs2rkLgOXLVxIUZFwMN9O6dXNWrQwHIC4uwZ5vZXOli4tLIC3tdK7lf/75Z9brEsWLo7U2JK7a/nX53eFYWxe6hpY58iMgqA2rly0DYGNYOI2eeAKAKtWqsv1H2zlw5vRpLpy/QC0/43q2OPN50KBWZUqXKnHT9ZHb99IloB5KKfyrP8z5P6+QeuY8W3YdoolfVR4sVYLSJYvTxK8qm3ceNCwugKDAQJYvWw7Azp27KOXhgadXjvPAy5NSJUuy8/p5sGw5QUG2O5qHEw9z5MgRQ2O6zlnLD8/a1Tl37CQXTljITE/n8LoYfAOeyJWu/tD+7Jr/AxlX/8padnr/YS7Zz9mziUm4Fi2Ci7u7IXFd1yawNSuul2274vDw8Mi7bCtZkl274gBYsXwlgUGtc+0rOLg9oaFrci2/G9Xr1uFk8rGsejRmbRhN2rTMlsZ64iRHDxwkM/PmZVbzdkH8ErvZsHq0ml9tUpKPYT12gvRr6Wxeu55GbQKypdn98w7+sn/egV3xlDOZstbF/7Sdy39eMiSWnGrW9eN4cjIn7XkWsWYtzQKzf0+WEyc4nEe5ln7tGtf+sv1AdS9SBOVi7GVyVb9aWH4/RurxE2RcS+fHsA3Ub5W9x+7e7b/y15WrAByKS6CMQ75VrvkYpcuVJX7rNkPjAqjjX5ffk5I5bq8PwkPX0DIw+/nfMjBHXdXEdg5rrSleogSurq4ULVaMa9eucfHCRcNiq+vvT3JSEseOHePatWusDQ2lTY7Y2gQGssIe27qwMBo3aXJjXVAQx44d49BBY+uCrPPguO082LJ2PY1aB2RLk5DjPChrdjgPtm3nssO1h5EKUnZoNEWKFsHN3R33IkVwdXPj7Knc1013y8/fP+tYu3btGmGhobQOzN7jp3VgECvt3+f6sDAa24+1Js2bcWD/fg7ss914+OOPP3KdxwXhzPl2J9eTJ4+f4ND+/WTq7HnSpEVzftqyhfPnznHh/Hl+2rKFpgaPFhD/bPe6p9IQIFBr3fv6AqXU3Txxrj+Q1aiktR6gtd5b8PCMkc94cuUJ3HW+GE5rvVpr/Z4R+ypn8iI1xZL1Ps1ixdPh4uhWKlX25eL5C7z16X+Zs3oZg19/FRcDL+68zCasKSlZ71MtFrzMdxabo1p1/XB3d+d48u+GxWYymTh58ka+WSxWzDliM5tNWCzWrPcpKVZM9rw9dOhw1g/E9u2D8PbO3nW+oLGlnLyRbykWS56xpTh875YUS1ZsAH37PUt4eCjvT30XDwPvkphMnqQ45InFkorJ5HmLLXJ75pkebNi4jFdfG8bbb80wKC4zVoc8s6ak4JXjPDCZTFlpMjIyuHjhAg8+9BAH9u0joE0bXF1dqVCxIjXq1MbsbdwwUGc+D27HeuY85nKls96by3pgPXMe6+nsy01lS2M9fd7QzzaZTZx0+E4tlhTMpuznmdlkJsXicK6kWDDdRd7mOzYnLT8e8CrHn5a0rPd/pp7iAVP2xq6yj1WlpNmTY5tv3oOrcptmnNqXSKaBd6YBzKbc5Vae+eaYxmLBnONcbtCwPqdPnSbJ3uBaUOVMJlIdztE0i5Wyd1iPOgro2J6oNWGGxARQ1uTFKcuNvDhlsVLWdPMePYE9u/Lrpi2Gff6teJpNWB2vPVLu/NoDwMvbzIKw1azcGsM3n3/JqdRUw2Ir4+XFaYdz74w1lTK3yLeW3Tuza7PtxoJSij6jR/DN1LyHBBeUl9mMJSV7XZWzzPIym7DkUVdtDAvn8qVLRP2yjQ0/beHrL77k/LlzhsVmMptJcYjNkpKCyWzOnebkyWyxPfTQQ5QoUYJBgwfz8YfG51sZkxenHL7P01YrZW5x3dGmRxd+27TV8DjyUpCyY9/OOHZt287in2JY/FMMOzZv5ffDxt0IMZlNpKSczHpvucmx5vh9XrAfa76VH0FrzZwFC1i2dg3PDco9bL8gnDrf7uB68ma8TDfOXdu2ljve9n9ZYQ9zk+Fvd0Ap9RnwCBCulDqnlFqolNoKLFRK+SqlNiulfrP/e8Jhu9FKqd1KqTil1HtKqR5AfWCRUmqXUqq4UipGKVXfnv5pe/oEpdT7Dvu5qJR6276fbUqpm545SqmvlFKz7emOKKUClFLz7D2KvnJIN1sptUMptUcpNcVheVY8+ciTEUqpyTnypZhSar7979mplGpp366/UmqlUmqjvSfUMKXUSHuabUqpm3YPsMf2kT3vEpRSDe3Ly9j3GW/fh5/DZ8263d9yr7m6uuLX4HE+eXcqg7o+SflKlWjfvWthh5VNWU9P3pgxnSmvvW5YrxYjjB49gd69e7Fq1Q888MADXDP4x1dBLPrmW1o0b01wcCfSUlMZN9748eYF8e23SwkK7M4H02cxeLBxwwbv1srFS7BaLHwXuopRkyYQ9+tvZGRmFHZY2TjreSDuTqGVH0rR+NUX+OmDz2+a5KEqPjR6eQCb37w3P6qN0CmkI6sN6qVklDKe5ahcvRo7Nt+fH7M5BXQKpmrtmiyf83WhfH5+paZY6BvciSdbBhHcrSsPlcvd4/V+aBrSnkdq1yB07gIAgp7uyc5NWzljNa6Ryyi1/euSmZlJ64aNad+0BX2fH0DFSpUKOywAXhoxgvlz5nDp0r3pGXenWtjPgxV/g/OgvM/D+FR5hF5NW/NUk1bUa9yI2vX/r7DDAsDNzZXHGzTg1eHD6d29B4Ht2vKvJrl7vRYGZ843Ie61e9Y7Rmv9glKqHdASGAaEAE211peVUiWw9da5opSqBnwH1FdKtQc6A4201peUUmW01meUUsOAV7XWO4CsOUXsQ+LeBx4HzgIblFJdtNYrgQeAbVrrcUqpqcDzQN4TX9g8BDQGOgGrgSbAAOAXpZS/1noXMM4ejysQqZTy01rH302eaK1PKaUmAzUd8uUVWzJdRyn1mP3vedS+eW2gHlAMSARGa63rKaVmAn2BW11ll9Ba+yulmgPz7PuaAuzUWndRSrUCFgC3nP1UKTUQGAjw+ec3v/C/7pQ1FS+Hu9yeZhNpVusttrghzWIlce9+Uo4dB2Dzxkhq+ddl7ZJld7T97aRarJi8b0yW6GU2k2q5s9gAHihZko/mzeHT6TNI2LWrwPE8+2wvnnqqBwC7dydQvryZX3+1rcvZqwBy9z7w9jZhteftkSNH6d/fNhGlr68PLVs2pyD69OlNr6dtk+rGx8Xj7TDJpLfZnGdsjr0bzN7mrNhOOXQD/u77xcyd+0WBYnvmmR70fLIzALt378XbIU/MZi+s1rSbbXpLa9duZNJkY+ZtsVotmBzyzOTtTWqO88BqtWIq743VYsHV1ZWSpUrxx9mzAEx780axtWDZEpKPHDUkLnC+8yA/TGU8sJy6cSfccvo8pjIemMp6sD3hxp1B6+lzNKz9SF67yJc+ffvwtH2Oq7j4eMo7fKdmszcWqyVbeovVgrfZ4VzxNmPNR97mhzOXH9f9mXqKB8w37uA/4FWOP62nst67P1CcMlV9CZkzHYDi5crQ9qM3WD98Iqf2HuQBr3IEzpxM9PipXDiekmv/d6NPn2d4qteTAMTH785VbuWZb45pzGYsDueyq6srbdsF0inEuAlQT1mteDmco55mE6fvsB69rkVwO7ZuiCQjPd2wuE5bUynn0FOknNnE6TwaO+o+0Yiegwcwtvdzhs57citpFismx2sP7zu/9nB0KjWVIwcP4d+gPtHh6w2J7UxqarbhT2VMXnk2EtVu3JCug/7DlL4Ds/Ktmn8dHnu8HkFP96BoiRK4ubtx5dIlvpthzH3AVIsFs3f2uipnmZVqsWLOo67q0LkTW2JiSU9P58zp0+z69Vdq+dXh+LFjhsRmtVjwdojN7G2LIVea8uWxOMR29uxZ6vr70659e0aNGYOHhweZWvPX1ass/LrgjTtnrKmUc/g+y5pMnMnjusOvcSN6vPAc458dcN/Og4KUHU0DW7N3VzxX7A1x22O3ULOePwk7jHnwhdVixduh17X5Jsead/nyWcdaKfuxZkmxsOPn7VnXSLHR0dSsXZttW42ZL86p8+0OridvJtVqzfawF5O3mR3bfjYkLiHg/k7UvVprfX22VHfgS6XUbmAJtoYVgDbAfK31JQCt9e1mZm4AxGit07TW6cAi4PoV8F/A9duFvwK+t9lXqLbdZt8NWLXWu7XWmcAeh22fVEr9BuwEajnEXRCO+dIU+AZAa70fSAauNypFa60vaK3TgHPA9Vlzd3P7v+07+z43AR5KqQftn7XQvjwKKKuUuuVYJK31F1rr+lrr+gPv4OkZ++N3U9HXB++KFXBzd6d1x2C2Rkbfdrvr25b0KEXpMg8B8H+NG5GUePiOtr0Te+PjqeTrQ/mKFXFzdycopAObIiLvaFs3d3emffYpa5evIDJ8nSHxfPPN94SE9CAkpAcbNkTRtWsnAPz9/bhw4SJpaaeypU9LO8XFi3/i7+8HQNeunYiIsOVtWfu8Nkophg0bxLffLi5QbAsXLsqaWHvDhgi6detii62ePxcuXCAtLfsFVFpaGhcvXMS/nq2Nslu3LmzcEAGQbY6Stm0DOVjA+Q2+/XYpXbv0oWuXPkRGbKJzF9uTLurWrW3Ptzsfy+7jc+OuakBAE5KTjbkY3hMXj4+vLxXsx1q7kI7EbIzIliZmYySduncHIDC4Pdt//AmAYsWKUbx4cQD+1bQpGekZHElMNCQucL7zID9aNajBypidaK3ZdeB3SpUohlcZD5r6V2NLXCLnLl7m3MXLbIlLpKl/tdvv8DYWLlhIcHAHgoM7sGHDBrrZn5xS7/p5kJrjPEhN48LFi9S7fh5078aGjcZM3pyTM5cfWZ+55wClH65AqQpmXNzcqNIugOTYn7LWX7t4iQUBPfguuA/fBfchNX5fVoNSkVIP0G7WW2z/aC7WXXsMiQdg4cJvsybX3rghgq7Xyzb/ujcv2y5exN+/LgBdu3UhYuON86VJkyc4fPhIrsaogjgQn0AFn4cx2+vRgA7B/HiH9eh1rUKCDR36BnBo9x7K+z6MqWJ53NzdaNahLT9HZn/wwiM1qjPkjfG89cLLnDtz1tDPv5V98bup6OuLt71ca9OxA1siou5oW0+zKetJUqU8PPCr/3+GNuQf3r0Xs08lPCuUx9XdjSeCg/g1elO2NL41qvP85LFMGzqS8w75NmvUBIa17siLbTqxaOqHbF4VZliDEkBCXDw+lX2pUMmWb+3zqqsi8q6rUk6czJoLsHjx4vjV8+eogcN+4uPi8KlcmYqVKuHu7k6HkBAic5SnkRERdLXH1i44mG32+Qif7tmTgKZNCWjalK/mzWP2J58Y0qAEtvPA2/dhvOznQdMObdkeFZMtTeUa1RnyxjjeGTzivp4HBSk7Uk+mULdhfVxcXXF1c8OvYX1Dh3HtjovLOtbc3d0JDgkhKsf3GRWxkS7277Otw/e5JTaWao9Vp1ixYri6utKgUSMOHzpkWGzOnG93cj15M1tjN/FEs2aU8vCglIcHTzRrxtbYTbffUIg7dD/n8XGciW4EYAXqYmvYMm4G5huu6RtjMTK4/d961f5/psPr6+/dlFKVgVeBBlrrs/ZhccUMiPNOZ+jLGZNjvLf723KOSbkvY1QyMjL4cMpbTP9qDi4uLoQtXU7SoUT+8/KLHNidwNbIaB6rU5u3Zn9MqdIePNGqJf8Z/iL92oeQmZnJp+9O48OF81FKcSBhD6E/LDE0tmmTpvDxgvm4uriyeskSjhw6xKARw9m3O4FNEZHU9KvDtM9m41Hag2atWzHw5eE81bY9gR2C+b+GDSj90IN07GH7YTnl1dEc3LfvNp96Z2JiNhEQ0IyoqHCuXLnM6NE3nt4UGrqUkBBbj4RJk95i6tS3KFq0GLGxm4mJ2QxASEgwzz5r61Gxfn0ES5euMCQugOjoGFq2bEFMbCSXL19m1Gs35nRfG7aaDsG2H7MTJkxm2vT3KVasGLExsVlPeRszZhQ1atYArTl+/ARjx+b9ZKq7ERu7leYtnmDDxmVcuXyFsWPfzFq3YuVCunbpA8Crrw2jY8e2FC9ejJjYUJYuWcWsWXPo/WxPGjduQHp6OufPX+D10VNu9lH5kpGRwTsTJzN7wde4urqwcvESDh86xJARL7N3925iIiJZsfgH3pkxgzUxUZz74xyjXrQ97adMubJ89vXXZOpMUi1Wxo4caUhMjrE563kwcsb3bE84ytkLf9J8wHu82KsN6Rm2oX9Pt21Ei8erE/vbAQKHfEDxou68M8x28flgqRIM6dmSHqM+AWBoz1Y8eIsJv+9GdFQ0LVu2JHZTDJcvX+a1V288aTAsbC3BwR0AmDB+AtM/mEaxYsWIiYklJjoGgLZtg5g8ZTJlypRh3vx57Nu7l759cz9a/G44a/mhMzLZ+u4s2s9+FxcXFw6sXM/Zw8k8PqQfp/YczNbAlFOtXp3xeLg8/zfwWf5v4LMAhA1+nStn/jAkNoDo6FgCWrYgOmYjVy5fZtSosVnr1qxdSccOtganiROmMHXau7ayLXYTMTE3Lso7hgQTujr3k0wLIjMjg4+nvM1787/AxdWFdUtWkHzoMP2GD+Ngwh5+ioymep3aTJ79ESU9PGjcKoB+w4cyoL2tB6epQnk8zWbif/7F8Lg+f+M9Js+djYurCxFLV3Es8TDPvDSYxIS9bI+Kpf/oERQvUYLR/50GQNrJFN4ebHsC3LvfzqPiI74UK1GCeZvW8/HYyezccvNjID8yMjKYMfkNZn49B1cXV9YsWcbRQ4kMePkl9u9OYEtkFDX86vDu7FmUKu1B09YteW74izzbzvaUuBfH2obyKqX47st5HDlg3OTOmRkZzH9rGmPnfIyLiyvRy1dzPPEIPV8cxJGEffwavYner71E0RLFeXmmbXrLUylWpg81tuzPy/W66jN7XbXCXlcNHfkye+JtddXyH37g3ZkzWBtrr6uG2eqq7xYs5K3pU1mxcR1KKVYuWcrB/fsNjW3KxInMX7AAV1dXlixezKFDhxg+ciQJ8fFERkSw+Icf+GDmTCJjY/njjz94edgwwz7/ZjIzMvjyjfeZNOdTXF1diFi2imOJR3jafh78EhVL/1EjKFaiBKM+mgpAWoqFd+znwTuL5lLhkcoUK1GcObHrmDVuCrsMOg8KUnZsWrcB/8aN+HKtrfz/ZdMWtuVoLCuIjIwM3pw4kbkLFuDi6sqyxYtJPHSIF0eOICF+N9ERESz9YTFTZ85gfWwM5/74g5HDXgTg/PnzfDVnDktCV6O1ZlN0NLFR+WtovxVnz7fbXU/W8vPjw89n41G6NC1at2bwiOF0C2rH+XPn+Py/s/hute2BFJ/992ND5z0TQt3LOTCUUknY5kMaBlzUWk+3L58JHNdaf6CU+jcwT2ut7EPDJgJtcgx/CwVmaK2j7dvHYGvgOQFs48bwt/XAx1rrVUqpi1rrkvb0PYCOWuv+N4nzK2CN1nqpUsrX/rq24zrgELYhYvUATyAe2xC0r67Ho7Xecf1v1lqfIg+O6+3D3xzzZSRQS2v9nH3Y20ZsPZWetm8zLI999Hdcl8fnxQD77UPvmgKz7cPr/gukaa3fVEoFADPtw+luuT8HunmVGrdJcv9tOryP+pWr3j5hIdhxNJEqVWoXdhh5Onw4gcq+Be/NYbSjSba7T49Vb3SblPff/gO2bsN+vgUfWmW0+KQjTn0esMeYYayGq9UdX5/Kt093nyUl23pKOGP5cfhwAgBf1L33T3jMr4Fxtjvfj1SuXsiR5Hbk6AHaVK1V2GHkKSJxD50eveVo+EKz+uAunnjE+b7PH48cAKBXjdtOr3nffb/P9jTHOj7OV1ftTj5CVR+fwg4jT4nJyXSpXq+ww8jTygM7nbL8iEi09SR9zMe3cAPJw/7kJACnzjdnvZ4E/p4zR9+BX1s94ZSTgT4e9ePfLs8L64ljnwLLlFJ9gXXYe+tordcppfyBHUqpv4AwYCzwFfCZUuoytnmPsKdPUUq9DkRjO+DXaq1X3YuAtdZxSqmdwH7gGHAvZrz8FJhtHxaYDvTXWl+9PodUAVyxx+4O/Me+bDIwTykVD1wCjLlNLoQQQgghhBBCOLGMv+mT1pzRPW1U0lr72l9OzrH8EODnsGi0w7r3gPdypF8GON7aDnBY9x32OYNybFPS4fVSYOkt4uzv8DoJ20TWea3rTx601o7x+N7sc3Ku11pPzrHuCpDrkVNa66+wNazltY9s627iG631yzn2eQbocrvPEkIIIYQQQgghhMjL/ZyoWwghhBBCCCGEEEL8jyis4W+FQik1DuiZY/ESrfXbBn9OWSCvRyi11lrf+eOo8veZnwBNciz+yLEXlRBCCCGEEEII8U+XKcPfDPOPalSyNx4Z2oB0k885DdzXWS611kPv5+cJIYQQQgghhBDin02GvwkhhBBCCCGEEEKIfPtH9VQSQgghhBBCCCHEP1umluFvRpGeSkIIIYQQQgghhBAi36RRSQghhBBCCCGEEELkmzQqCSGEEEIIIYQQQoh8k0YlkrlM6gAAIABJREFUIYQQQgghhBBCCJFv0qgkhBBCCCGEEEIIIfJNnv4mhBBCCCGEEEKIf4zMzMKO4H+H9FQSQgghhBBCCCGEEPmmtNaFHYP4e5IDRwghhBBCCCH+d6nCDuBe2dKkmVP+nm26dfPfLs9l+JsQQgghhBBCCCH+MTL0367txmlJo5K4a71q1C/sEHL5ft8OetdoUNhh5GnRvl9oU7VWYYeRp4jEPfj6+BR2GLkkJScDUP1R5/tODxz8BQBfn8qFHEluSclHqemEcQHsTT7qlHkGtnxjz7LCDiO3Wt0BGFG7WSEHktvMhM0A9Hzs8UKOJLcl+38FIKm389VVvot2OPV50LBytcIOI0/bjx7C17dqYYeRS1JSIgCtqtYs5Ehyi0rcCzhvXeWM1x5gu/5oW612YYeRp/WHEpy6zO1SvV4hR5LbygM7AajqhMdbov1a11nPUSHuhMypJIQQQgghhBBCCCHyTRqVhBBCCCGEEEIIIUS+SaOSEEIIIYQQQgghhMg3mVNJCCGEEEIIIYQQ/xiZmTJRt1Gkp5IQQgghhBBCCCGEyDdpVBJCCCGEEEIIIYQQ+SbD34QQQgghhBBCCPGPkaFl+JtRpKeSEEIIIYQQQgghhMg3aVQSQgghhBBCCCGEEPkmjUpCCCGEEEIIIYT4x8jUyin/3QmlVDul1AGlVKJS6vU81vdXSqUppXbZ/w1wWNdPKXXI/q+fEXkpcyoJIYQQQgghhBBCODmllCvwCRAIHAd+UUqt1lrvzZH0B631sBzblgEmAfUBDfxq3/ZsQWKSnkpCCCGEEEIIIYQQzq8hkKi1PqK1/gv4Huh8h9u2BTZqrc/YG5I2Au0KGpA0KgkhhBBCCCGEEEI4vwrAMYf3x+3LcuqulIpXSi1VSlXK57b5Io1K4p6q27QxM8KW8eG6FXQakHvIZnC/3kwPXcz7K79j/LxPKVfenG198Qce4JPotfx7/CjDY/Nr2phpYUv5YN1yQvKIrX2/Z5ga+gPvrvyWMTliW5iwjXeWL+Kd5YsY+ckHhsbVoHlT5m9Yw9eR4fQaNCDX+joNHmf2qiWs3x9Hs3ZB2dY9P+oV5oSvYu661QydMMbQuK6bNHkyMbGxhK9bR63atfNMU7t2bdatX09MbCyTJk/OWl66dGkWfvMN0TExLPzmGzw8PAyNbdz4V9iwcTmrV39LzZrV80zz8ojBxMSu4bedsdmW9+rVjdWh37Fy1SK+/e5LqlSpbGhskyZPIiY2mvB14dSqXSvPNLZ8CycmNppJkydlLR8zdgyRkRGErwvn888/w8OjlGFxNW3RnLVRkayLjWbA4BdyrXcvUoQPZn3Muthovl+5gvIVbfVOxy6dWR62NutfwtHDPFazhmFxXVeQfAsODmbDxvUcOXqYOnXqGBbTmFnLaNz/bToO/zDP9Vpr3poTSuCQ6YSM+C97Dp/IWrci+jeChn5A0NAPWBH9m2ExXfdYk4aMCV3E2LDvaP1c71zrn3iyM68t/4pXl87jxQWfYHrEF4ASpT0YMu8j3tu+nm5jXzY8LgD/po35KHwZH69fSZfn++da37F/b2auWcL0Vd8zcf7srDK3XHkz7y9bxLQV3zIjdDGBT3U3PLbifo2pMG0ZFT5YQemQvKcXKNGoDeWnLqb8+z9QbuhbWct9Fv5M+XcWUf6dRXiNnGF4bOCc5ce/mjdjSeR6lkVH0PeFgbnW12vYgAWhK/nx0D5atb9xE7RajRrMXbaY79eHsSg8lDYdgg2JJ6dJkyYQExNJePgaatW6WZ7VYt26tcTERDJp0oRc6wcMeI6kpEQeeughw+Jq0LwpX29Yy8LIdTydRx3v1+BxPl+1lI3742nuUMf7/6shX6xenvVv3Z6dNGnT2rC4rnPGMhegRYsWREZFERMby+DBg3OtL1KkCLNmzSImNpaVK1dSsWJFAB588EG++/579uzdy5Q33jA0JoD6zZowZ30o8yPCeHLgc7nW127wOLNWLiZs3y6atgvMtu6510bw+doVfL52BS2CC9xRIBdnLnPrNXuCT9atYPaGVXR7/t+51nfq/ywfr13Gh6t/4I2vPsOzvHfWuolzZrHol02M++wjw+MCaN6iBRuiooiMjWXQTY61j2bNIjI2lqUrV1LBfqz51a3L6rAwVoeFERoeTmDbtvckPmesD4SxlFIDlVI7HP7lrmRvLxTw1Vr7YeuN9LWxUWYnjUrinlEuLvxnwmjeG/gSr4T0pEmHtlTI8UM9ad9+xvbsw+guT/Pzhkh6v/pStvVPvvQC+3fsvCex9Z8wiqkDhzMq5EkadwjKFVvyvgOM79mXMV2eYfuGSJ52iO2vK1cZ2603Y7v1ZsbQVwyLy8XFhRcnj2Pscy/wXLtOtOwYzMNVq2RLk3oyhamjxhEVujbb8pr1/Kn1eD0GdujK88FdqO5Xm7qNGhgWG0BAy5ZUrlyZgBYtGDtmDG+/9Vae6d56+23GvP46AS1a2NIHBAAweMgQfty6lZYBAfy4dStDhgwxLLbmLZ7A1/dhggK7MWHCO0yekmvOOgCiozbTs0fuH42hoevpFPI0XTr3Zs6XCxkzZoRhsQW0DKByZV8CWrS8Tb69xZjXxxDQoqUtfUALALZs3kJQUFvat2vP0aNHDcs3FxcXxr/5BoP69SekTRDBnTpRpVrVbGm6P/Uk58+do12Llnw9dy6vvG7L1zUrV9EtuAPdgjswesRIjh87xv69+wyJ67qC5tuBgwd4YdBgtv+83dC4urX8P+ZM6H/T9Zt+O0hSymk2fPIKb77QhclfrALgjwuXmLU4ksXvDWbJ+0OYtTiScxcvGxaXcnGh+/iRfDH4Vd7v1Id6wW2yGo2u+3XtRqZ168/0Hv8hat63dB5lG2qf/tdfhH88h9XTPzUsHkcuLi48N/F13n7+JUZ07EGTDm2pmKPMPbrvAKN79OHVzr3Ytj6SPq8OB+CPtFOM69Wf17o+w9in+tFlYH8e8ipnXHDKhTL9R2Od+hInRvXkgcZtca+QPTY3UyVKd/o3lsnPcXL0U5xZeONmgv7rKifH9ubk2N6kzhhpXFx2zlh+uLi4MOqNyQzvP4CngtrTtlNHKlfNXnZYTpzkjddGs2F1aLblV69cZvIrr9GrbTDD+z3HyInjKFnK2B82AQEt7HnQmrFjx/P221PyTPfWW28wZsw4AgJa29M3z1rn7e1N8+ZNOX78RJ7b3g0XFxeGTx7P688N4t/tQmjVMRifHHW89WQK748aS2SOOn7Xtu0M7NSNgZ268Uqff3Pl8hV2bNlqWGzgvGWui4sLb7z5Jv379SOwTRs6depE1WrVsqV58qmnOHfuHAEtWjB37lxet9dVV69e5YPp03nn7bcNjel6XEMnj2f8gME83/76Ndsj2dKknUzhg9HjiQ4Ny7a8YUBzqtaqyeBOPXipxzN0f64/JUo+YGhszlrmuri4MGji67wxYBgvduhOs47tqFgle74d2befV7r35uVOT/Hj+kj6vTY8a93KOQv4cNR4w+LJGdvkN9/kuX79aNemDR3zONZ62o+11i1aMH/uXEbZj7WDBw7QNSSETsHB/KdfP9565x1cXV0Njc8Z6wNhPK31F1rr+g7/vsiR5ARQyeF9Rfsyx32c1lpftb+dAzx+p9veDadrVFJKvaSU2qeUWlTA/fRXSpV3eD9HKVWz4BEawzEepVSSUirP0lop9aBS6r6d8UqpMKXUg0bsq6pfLSy/HyP1+AkyrqXzY9gG6rdqkS3N3u2/8tcV2/F+KC6BMiZT1rrKNR+jdLmyxG/dZkQ42VTxq4X192Ok2WPbFraRx28RW2LcbsqYvAyPI6fqdetwMvkYKceOk37tGjFrw2jSpmW2NNYTJzl64CCZmTrbco2mSNEiuLm7416kCK5ubpw9ddrQ+IICA1m+bBkAO3fupJSHB55e2fPF08uLUiVLsnOnrTFw+bJlBAXZ7rYGBgay1L790mXLCAzK3tOqIFq3bsHKFbaL8Li4BDxKlcLTs2yudHFxCaSl5c6XP//8M+t18eLF0Ohcae6WLd+WA7Bz5y57vnlmS+Pp5WnPt10ALF+2PCvfNm/eTEZGhn37nZi9s/fou1t1/Ovye1Iyx48d49q1a4SHhtIqMPud1FaBgay0f2cbwsL5V5Mncu2nQ6cQwkPXGBKTo4Lm2+HEwxw5csTwuBrUqkzpUiVuuj5y+166BNRDKYV/9Yc5/+cVUs+cZ8uuQzTxq8qDpUpQumRxmvhVZfPOg4bF9XCdGpz6/QSnj6eQkZ7OzvBIardqmi3N1T8vZb0uUrwYaNtx/tflKxzduZtrV/8yLB5HjvVB+rV0toZtoH7rgGxp9vy8g7+uXAHgYNxuyphtZUv6tXTSr10DwK1IEVyUsZcuRavUIt16jPS0E5CRzp/bNlDi8ez1QalWXbmwcTGZly4AkHm+QPNZ5oszlh+16vpxPDmZk8eOkX7tGhtC19I8MHuvmZQTJ0jcfyBXXfX70SSOJSUDcCo1lbOnT/NQ2TIFjslRUFAbli9fAdjzrJQHnp458szTk1KlHPJs+QqCgm6UfxMmjOPdd98HA+uCx+rW4UTy71l1fNTacJ5o0ypbGuuJkxw5cJDMzMyb7qd5uyC2x27mqv18MYqzlrn+/v4kJyVxzF5XhYaGEpSjrgoKDGSZva4KCwvjiSZNALh8+TI7duzg6tWrufZbUNX96nAy+Xcsx46Tfi2dmLXhNG6d+/s8euAgmTr79/lw1Srs/mUHmRkZXL18maMHDlK/WfbyuiCcucyt5leblORjWO2xbVm7nkY5YktwiO3ArnjKmm/8Pojftp3LDtdsRqqb41hbGxpKmxzHWpvAQFbYj7V1YWE0th9rV65cySprixYtitbGlR3XOWN98HeWoZVT/rsDvwDVlFKVlVJFgF7AascESilvh7edgOt3ftcDQUqph5RSDwFB9mUF4nSNSsAQIFBrndVvXyl1N0+p6w9kNSpprQfkMSN6oclHPA9iy5P7QmsdrLX+w4h9lfHy4rTFmvX+jDX1lg0zLbt3ZtfmHwFQStFn9Ai+mZr38JKCx+aZIzYrD5k8b5o+oHtn4uyxAbgXLcKbS75myvfzeLx1i5tul1/lTCZSU1Ky3qdZrJR1aGi7lX0749i1bTuLf4ph8U8x7Ni8ld8PG3txZzKbOXnyZNZ7i8WCOUd8ZpOJFIsl631KSgoms63S8ixXjrTUVADSUlPxLGfcnS+TyROLw3dqsaZiymdD4DO9e7IxYgWvjXqJt96cblxsZhMnT974Xi2WFMym7BW52WQmxXIjTUqKBZM593ff88kniYmJzbX87uIyY3E43iwpFrzM5hxpTFjssWdkZHDhwgUezDEUpF1IR9auylaXGRSfcfl2P1nPnMdcrnTWe3NZD6xnzmM9nX25qWxprKfPG/a5D3p58oclNev9OWsapfO4u9ykV1fGhX9PyCuDWf7uvRk+kFMZkxenUxzKXIuVsrcoc1v36MzOTTfK3LJmE9NXfc9n0WGsnPMVZ1NPGRabaxkv0k/fiC39TCquD2UvO9zND+Pu7YN50ly8p8ynuF/jrHXKvQjeby7Ae8r8XI1RRnDG8sPTbMbqUHakWix43sV5V7OuH27uRTie/HuBY3JkMuXMMwvmHPGZzSZSUhzrKgsme30WGNgGq9XCvn37DY3LVsff+MxTFgued3HDqlXH9kStWXv7hPnkrGWuyWzmZIrjZ964rsiWxn59cr2uMnLYYl7Kmr1Iy/Z9Wil3h9/nkf0HqN+sKUWLFcPjoQep+68GeBr4A9+Zy9wyJi9OOVyvnbZaKXOL2Nr06MJvm4ztlXczJrOZlGzXRXkfaykOx9pFh2Otrr8/4Rs3snb9eiaMG5fVgGNcfM5XH4j7T2udDgzD1hi0D1istd6jlHpDKdXJnuwlpdQepVQc8BK2thG01meAN7E1TP0CvGFfViBO1aiklPoMeAQIV0qdU0otVEptBRYqpXyVUpuVUr/Z/z3hsN1opdRupVScUuo9pVQPbI/JW6SU2qWUKq6UilFK1benf9qePkEp9b7Dfi4qpd6272ebUuqmtaRS6iul1Gx7uiNKqQCl1Dx7L6uvHNLNto+F3KOUmuKwPCue23gPqGL/O6Ypm2n22HcrpZ66RYwBSqlNSqm1SqkDSqnPlLLdbrhFHtyq11TW+M4vvsjZC69gmoa055HaNQiduwCAoKd7snPTVs5YU2+z5b3XxB7bmrkLs5YNb92JCT37MevVCfQZMxKvSgWe36zAyvs8jE+VR+jVtDVPNWlFvcaNqF3//wo7rFsy/h5OwXy7aAmBbboyfdrHDB7yn8IOJ5ehw4aSkZ7OyhUrCzuULH7+/ly5fJnEg8b1uBH31tbvV/B2+16smfEZQYP6FnY4uTQLac8jtWqy2l4fAJy2WHm1cy9ebNuZgC4dKW1wz5bbcnXFzVQJy1sDSZs1jrIDxuFSoiQAx4eHkDKhL2mzxlOmzyu4eRV+fZAXZys/ynp6MmXGNN587fV7ckf/bhUrVoyhQ19gxox7c1OroMp4lqNy9Uf5ZfP9+ZEt7o3ftvzIL7Gbmbn4G8bMnMa+nXFkZhrbAHGnnLLMtWvRKZiqtWuyYs49nQ7GMHG7dtE+MJBunTrxwpAhFClatLBDypOz1Qci/7TWYVrrR7XWVbTWb9uXTdRar7a/HqO1rqW1rqu1bqm13u+w7TytdVX7v/lGxHM3PYDuGa31C0qpdkBLbK1vIUBTrfVlpVQJbD2YriilqgHfAfWVUu2xPUKvkdb6klKqjNb6jFJqGPCq1noH2Hq+2P8vD7yPbVzhWWCDUqqL1nol8ACwTWs9Tik1FXgeyHuwqs1DQGNsXcpWA02AAcAvSil/rfUuYJw9HlcgUinlp7WOz0e2vA7U1lr72+PvDvgDdYFy9s/apLVOucn2DYGaQDKwDuimlPrxFnlwU/bxnNdbk3TUzFs3LJ1JTc3WXbWMySvPRqLajRvSddB/mNJ3YFZ322r+dXjs8XoEPd2DoiVK4ObuxpVLl/huxqxbfuadOpOaliM2E2etabnS1WrckM6D/s1bfQdlxQZwNtWWNu34CfZt/w3fGtVJPVbweRdOWa14ed/orehpNnHaar3FFjc0DWzN3l3xXLlkG96yPXYLNev5k7CjYJMB9+nbl6d79QIgLj6e8uWzOgBiNpux5IjPYrXi7XBXx9vbG6u951LaqVN4ennZeil5eXHqVMHufD3TuydPPtkFgN2792a7E202eWG9y0bJtWs32OdkynsejjvRp2+fHPl243s1m72xWC3Z0lusFrzNN9J4e5uxOtzJ69GjO61bt+KZp3NPvny3rBYLZofjzextJtViyZHGirm87Tt0dXWlVKlS/HH2xtCf9iEdCcsxZ0pBGJ1vhcFUxgPLqXNZ7y2nz2Mq44GprAfbE270HrSePkfD2o/ktYu78kdqGg+ab9wlL23y5Nwt7i7vDI+kxwTj5oS7lTPWVMp6O5S5ZhOn8yhz6zRuSLcXnmNSn+ezlbnXnU09xe+HDlOjfj22rY80JLaMM6m4lb0Rm1sZLzLOpuZKczUxATIySE87ybWU33EzP8xfR/aScdb2d6SnneDKvl8p4vsY6akFqw+cvfxIs1gwOZQdXmYzafk47x4oWZKZ875k9vSZJOzaZUhMffo8y9NPPwlAXNzuHHlmztaTFcBiseLt7VhXmbFarfj4PEzFipUID1+Tte2aNavo0qUbaWkFq7NsdfyNzyxnNpOWz3oqILgdWzZEkJGeXqBYrvs7lLlWi4Xy3o6feeO6Ilua8uWxONRVZ8/e22Gqpy2p2XoXlTObOJWP7/O72V/w3WzbtfTrM97n+NFkw2Jz5jL3jDWVcg7Xa2VNJs7kEZtf40b0eOE5xj87IM/Y7gWrxYJ3tuuivI81b4djrWQex9rhxEQuXbrEo48+SsLu3QWKydnrg7+zDOe5n/G351Q9lfKwWmt9fRZTd+BLpdRuYAm2hhKANsB8rfUlyOrSdSsNgBitdZq969gi4PrMjH8B1ycG+RXwvc2+QrXt9tpuwKq13q21zgT2OGz7pFLqN2AnUMsh7rvVFPhOa52htbYCsfa/6Wa2a62PaK0zsDXENeXWeWCYw7v3YvaphGeF8ri6u/FEcBC/Rm/Klsa3RnWenzyWaUNHcv7MjQJ51qgJDGvdkRfbdGLR1A/ZvCrMsAYlgCO792L2eTgrtn8FB+aKzafGozw3eQwfDH0lW2wlPErh5u4OQMkHS/Po//lx4vBRQ+I6EJ9ABZ+HMVesgJu7OwEdgvkxMvqOtk09mULdhvVxcXXF1c0Nv4b1DRn+tnDBAoKDg21PddmwgW7dbU8BqVevHhcuXMgaznZdWmoqFy5epF69egB0696dDRs3AhAREUEP+/Y9undno3353fp20RK6dO5Nl869iYiIoUvXDgDUrVubCxcv5jl30s34+NyYsy4goCnJSQUbjrFwwUKCgzsQHNzBnm/dAKhXz9+eb9kvoNJS0+z55g9At+7dsvKtRYvmDHphEAOee54rBs6hkRAXj09lXypUqoi7uzvtQ0KI3hiRLU10RARd7N9ZUHB7fv7xp6x1SinadexgaKOSkflWWFo1qMHKmJ1ordl14HdKlSiGVxkPmvpXY0tcIucuXubcxctsiUukqX+12+/wDh1L2I/nwxUpU8EbVzc36rVvzZ7oLdnSlHu4Ytbrms0bc+r344Z9/q0k7t6Lt08lvCqUx83djSbBQeyIyt7t3rdGdQZOGcf7Q0ZkK3PLmLyy7vY+4FGKxx7356SBP76uHtmLm7kSbp7lwdWNB/4VxKVfs9cHl3bEUKyGbY5Ll5Klcfd+mPTUE7iUKAVu7lnLiz5al2snjCh3nbv82Bu/m0q+vpSvWBE3d3eCQjqwOeLOfnC6ubsz9bNPCFu+kqjwdYbEA7Bw4TcEB3ciOLgTGzZspFu3roBDnqXlyLO0NC5ccMizbl3ZsCGCAwcOUr9+I5o2DaBp0wAsFgsdO3YucIMSwP74BCr4+GTV8a06tOenO6zjr2sV0oGoNWG3T3iH/g5lblxcHL6VK1OxUiXc3d0JCQnJdf2wMSKC7va6Kjg4mB9//DGvXRnqwO4EKvg+jKliBdzc3Qjo0J5td/h9uri4UOpB23DoytUfpXL1R/l1i3ExO3OZe2j3Hrx9H8aroi22ph3asj0qJluayjWqM+SNcbwzeATnzty/Oezi4+LwcTjWOoSEEJnjWIuMiKCr/VhrFxzMNvuxVrFSpayJuctXqMAjVapw4njB61hnrw+EACfrqZQHx1nYRgBWbD10XIB7cSZc0zf6YGdw+/y5PutfpsPr6+/dlFKVgVeBBlrrs/ZhccUMjPdO5GyDvW9tspkZGcx/axpj53yMi4sr0ctXczzxCD1fHMSRhH38Gr2J3q+9RNESxXl55nsAnEqxMn2o8U/PySu2r96ayug5/8XFxZXY5as5kXiE7i8O4mjCPn6L3sQzrw2nWIniDM+KzcKMoa9Q4ZHKPDdlDJmZmbi4uLD6y68Na1TKzMjg4ylv8978L3BxdWHdkhUkHzpMv+HDOJiwh58io6lepzaTZ39ESQ8PGrcKoN/woQxo35lN6zbg37gRX661TU76y6YtbMtRSRdUdFQULVu2JHbTJi5fvsxrr76atS4sLIzgYNujoSeMH8/0Dz6gWLFixMTEEBNtu8ia/emnfPLppzz51FOcOHGCoQY+dSI2ZistWjRhY8QKLl++wtgxNx4dvHLVIrp0tt2Ree21F+kY0pbixYsRu2kNS5asYtbHX/Lss0/S+ImGpKenc/7ceUaPvvteSjlFR0Xb8y3Gnm+jstaFha0lONjWGDZh/ASmfzDNnm+xxETHADDljSkUKVKEb76xDcHcuXMn48YV/MknGRkZvD1xEl8uWICLqwsrFi8h8dAhho0cwZ743URHRLDshx94f+ZM1sVG88cf53h12ItZ29dv1BDLyRSOHztW4FjyUtB8a9s2iMlTJlOmTBnmzZ/Hvr176ds378fF58fIGd+zPeEoZy/8SfMB7/Firzak2+dNeLptI1o8Xp3Y3w4QOOQDihd1551htovPB0uVYEjPlvQY9QkAQ3u24sFbTPidX5kZGSx7ZyaDPv8AF1cXfl6xFsvhJNoNfY5je/azJ2YrzZ7pxqP/qk9GejqXzl/g27E3nog0Yf1iipZ8ADd3N+q0asZnA1/BeiTJsNjmvjmVcXNn2eqDZas4nniEp158gcMJe9kRvYk+9jL3lQ9tI7JPpVh4f8hIKlapTN/RI9Bao5QidN5Cfj+YaEhc9uA489U0TKM/BhdXLsau5tqJIzzYfRBXj+7j8m+buBz/E8Xq/IvyUxdDZiZnv/0vmRfPUbSaH2WfGwuZmeDiwrnVX3PthDH1wXXOWH5kZGQwbdIU/rtgHi4uroQuWcqRQ4kMHDGcfbt3szkiihp+dZj62ad4lPagWeuWDHz5JXq1DaZNh/bUa9iA0g89RMceth9HU14dzaF9xj09Mjo6hpYtA4iNjbLl2Wujs9aFha0mONg25cSECZOYPn3qjTy7x/OLXK/j35//Ja6uLoQvWUHSoUT62+v4H+11/Buz/2uv41vSf/gw/tPeFq+pQnm8zGbifv7lnsTnrGVuRkYGEydOZMGCBbi6urJ48WIOHTrEiJEj2R0fT0REBIt/+IEZM2cSExvLH3/8wYvDhmVtv2XLFkqWKoW7uztBQUH06dOHxEOHChxXZkYGn0x5h3fmfY6Lqysblq4gOfEwfYcP5eDuPWyLiuHROrWZ+OmHlPLw4F8tA+j70lAGBnfB1c2ND76zDTe7dPEi77/6OpkGzr/jzGVuZkYGX77xPpPmfIqrqwsRy1ZxLPEIT780mMSEvfwSFUv/USMoVqIEoz6aCkBaioV3Br8MwDuL5lLhkcoUK1GcObEboH3EAAAgAElEQVTrmDVuCru2/HSrj7xjGRkZTJk4kfn2Y22J/VgbPnIkCfHxRNqPtQ9mziTSfqy9bD/W6tevz6AhQ7h27RpaayaNH294bzlnrA+EAFDONI4dbHP6YJsPaRhwUWs93b58JnBca/2BUurfwDyttbIPl5sItMkx/C0UmKG1jrZvH4OtgecEsI0bQ7/WAx9rrVcppS5qrUva0/cAOmqt+98kzq+ANVrrpUopX/vr2o7rgEPAAqAe4AnEA6O11l9dj0drveP636y1znUbTClVFvhNa+1jf98NGAQEA2WAHdiG/lny2DYACOfG8LdwbMPXfrxFHtw0lhx0rxp3MiXU/fX9vh30rnGrjluFZ9G+X2hTtVZhh5GniMQ9+Pr4FHYYuSQl2+6MVX/U+b7TAwdtF/W+PpVvk/L+S0o+Sk0njAtgb/JRp8wzsOUbe5YVdhi51bI1So2o3ayQA8ltZsJmAHo+9vhtUt5/S/b/CkBSb+erq3wX7XDq86BhZeN60Blp+9FD+PpWLewwcklKsv3gblXVaR4ynCUq0fZMGGc83pKSjzrltQfYrj/aVqtd2GHkaf2hBKcuc7tUr1fIkeS28oDticRVnfB4S7Rf6zrrOQrc0ePI/o5WP97auRpC7Dr9Gvm3y3Nn76nk6FNgmVKqL7a5gf4E0FqvU0r5AzuUUn8BYcBY4CvgM6XUZWzzHmFPn6KUeh2IxnaSrNVar7oXAWut45RSO4H9wDEg37Mqaq1PK6W2KqUSsDUKjcL298Rh63U0Kq8GJQe/ALOAqtj+5hVa68z7lQdCCCGEEEIIIYT43+R0jUpaa1/7y8k5lh8C/BwWjXZY9x62p6Q5pl8GON5yDnBY9x22+YVyfnZJh9dLgaW3iLO/w+skoPZN1vUnD1prx3h8b/Y59vXP5Fj0mv3fnTivte6Yxz5vlge3jEUIIYQQQgghhBACnH+ibiGEEEIIIYQQQgjhhJyup5KzUUqNA3rmWLxEa/12XukL8DllgbwendJaa33LR1gppeoAC3Msvqq1bgTEGBOhEEIIIYQQQgghxA3SqHQb9sYjQxuQbvI5pwH/u9x2991uK4QQQgghhBBCCHE3pFFJCCGEEEIIIYQQ/xgZ+m/3kDWnJXMqCSGEEEIIIYQQQoh8k0YlIYQQQgghhBBCCJFvMvxNCCGEEEIIIYQQ/xgZurAj+N8hPZWEEEIIIYQQQgghRL5Jo5IQQgghhBBCCCGEyDcZ/iaEEEIIIYQQQoh/jAzk6W9GkZ5KQgghhBBCCCGEECLfpFFJCCGEEEIIIYQQQuSb0lqmPRd3RQ4cIYQQQgghhPjf9T87RuyHeoFO+Xv2qZ0b/3Z5LnMqibvWpmqtwg4hl4jEPXR4tG5hh5GntQfjeMzHt7DDyNP+5CR8fR4p7DBySUo+AkCVR2oWciS5HT6yFwBfn8qFHEluSclHaV6lRmGHkadNh/dRpUrtwg4jT4cPJzCidrPCDiOXmQmbbS/2LCvcQPJSqzsA/Ws2KuRAcvtq788A7O/csJAjye2xVdudsuwAW/lRy0lj25N8lMq+1Qo7jFyOJh0CwNe3aiFHkltSUiIAVXx8CjmS3A4nJzvltQfYrj8CnLQejTm8z6nrqohGAYUbSB7a/BwDQGUnPA+OJicD4OuEvxGSkpMKOwTxNyHD34QQQgghhBBCCCFEvklPJSGEEEIIIYQQQvxjZDjl4Le/J+mpJIQQQgghhBBCCCHyTRqVhBBCCCGEEEIIIUS+yfA3IYQQQgghhBBC/GNkFHYA/0Okp5IQQgghhBBCCCGEyDdpVBJCCCGEEEIIIYQQ+SbD34QQQgghhBBCCPGPIcPfjCM9lYQQQgghhBBCCCFEvkmjkhBCCCGEEEIIIYTIN2lUEkIIIYQQQgghhBD5Jo1KQgghhBBCCCGEECLfpFFJCCGEEEIIIYQQQuSbNCqJe6pB86bM37CGryPD6TVoQK71dRo8zuxVS1i/P45m7YKyrXt+1CvMCV/F3HWrGTphjOGxPd7sCT5ft4ovN4bSc+B/cq3v8u8+zA5bzqzVS3j76y/wLO+dta511xC+2LCaLzaspnXXEEPjatqiBeFRkayPjeH5wYNzrXcvUoQZs2axPjaGH1aupELFilnrHn3sMb5fsZzQjRtYvX4dRYoWNTQ2gEmTJxITG0X4ujBq1a6VZ5ratWuzbn04MbFRTJo8MWv5yFdGEL4ujLCwNSxY+DVeXl6GxjZx4liiotaxNmwFtWrVuElsNQkLX0lU1DomThybtbxGjcdYuuw7QtcsZ+Wqxfj51TE0tkmTJxETG034uvA7yLdoJk2elLV8zNgxREZGEL4unM8//wwPj1KGxdWweVO+2RjGt1Hr6J3HOVq3QX3mrFpG1IHdtMhxjnp5e/PBV3NYuH4NC9aFYq5Q3rC4rps4cQxRUWGsXbv8/9k77/Aoiv+Pv+YuCaEkSEnuQksAQTpBQVqAAAklELpiAUFFQAwiSO9VUBAs+FUREAGVXgIkSDpVEKX33pK7FEIKEEgu+/vjLsldEgTMauLPeT1Pnie389nd987szOezszOzf16mQZsIDw9i6tSctqJWredYv341QUGbWLJkMaVKlVRFU62WLzJh249MDPqZ9m+/nie9xcvdGbNpBaM3LGf4yq/QVfMAoERpZ4Yt/5x5h36h18QPVNGSmwmLN9J84By6jvgs33RFUZi9dBu+wxbgP/ILTl26lZ22OeIPOrz3KR3e+5TNEX+orq2+VzPm7ljHxzs30GXQG3nSOw54lTnb1jBr82rGLl9MuQr67LSybjpGf/cFH21bw5xtayhv1R6rQclGzaj6v/VU+2YjZXvn1Qbg1NKHqovXUPXLNbiNmpW9vdK0z6nxYxiVJi9UVZM1RbH98GrTmu3hYQRHRTDo3aF50u0dHFiw+EuCoyL4ectmKlSqCICdnR0ffbqAzb8EExgWwqBhef2cGkybNoWIyFCCg7dRt26dfG3q1atL8M7tRESGMm3alOztIz4YzoFf97AjKJAdQYF4e7dRXVtkZBjBwdupW/dR5VmXnTt3EBkZZqMti0GD3ubq1YuUKVNGNV2t27QhJDyc8KgohuQTfzg4OPDF4sWER0Wx0Sr+aOnlxdbt2wn65Re2bt9O8xYtVNNkTUHijwkTxxMWFkLwziC+/fZr1erBi629WBkSxI/hO3ktHx/aoEljlmzdSNgjfOj8FUv54ZftrPgbfGhR9lXlmr1I83UrabHhR9zfeC1PuluXTrTeuYWmq5bSdNVSKnTrkp3m+dkntAndTsNP5/4t2lq3aUNYeDgRUVEMfUQ9+HLxYiKiothsVQ+8vLwI3L6d4F9+IfBvrQfTiIyKfAJ/sJPIqEgbf+Dn58eukF1cvnKZ+vXVjXP/jZgQRfLv34jsVJL8bWg0GoZPn8TEt4fydqdutO3qR5Vnq9vYxEbH8MnYSYRv22GzvU4jT+q+0IjBXXryjl8PnmtQj4ZNm6iq7d1pE5n2zjDe9etJ666dqFy9mo3N5dNn+aDXawR0e4l9O0N4a+xIAEqVdua1gKGMeqkfo/q8zmsBQymlUnCi0WiYOmsm7wwYSFcfX7p060b1Gs/a2PTp+zLJSUl0bOPND8uW8eH48QBotVrmf7aIaRMn4e/bgTf6vkJGeroqurLwbutN1aoeeLdpx8QJE5kze1a+drPnzGLC+Al4t2lntrcE5Eu+/Y7Onfzw8+tKeFg4I0a8r54279Z4eLjTrl0nJk2cxsxZ0/K1mzlrKhMnTKVdu054eLjTpk0rAMaN/5Avv/gf/l178dmixYwb/6F62rLzrS0TJ0xgzuzZ+drNnjPbkm9tbfJt7569dOjQkc6dOnPlyhWGDRumii6NRsPI6VMY89Zg3ujoT3v/LrjnqqPG6Gg+GjuB0Fx1FGDSgnn8/N1y+nfsypBefUlMuK2Kriy8vVvh4VGFdu38mDRpOjNn5n2wApg5cwoTJ06nXTs/PDyq0KaNFwBz585g/vzP8PPrxa5dYbzzzpsF1iQ0GnpPHsWSd0fzcbf+NPLzyQ7Es/h9Rwjzew1kQZ+3CF/+E93HBgCQ8fAhwV8uJXDB/wqs41H0avs8S6cMfGT67j/OczUmgV1ffcisoT2YvmQrAHdS7rF4XRjr5r3L+o+HsXhdGEmp91XTJTQa+k8ew8IhHzDR/xWa+nWgQvWqNjbXzpxnxksDmNKzH7/9Es7LHwZkpw2eO43g5auZ6P8KM/u+SfJtFe81jQbdkLHcnDGCywF9cW7VEYfKttrs3SpTrs8Aro17hyvDXyF2WU4H0u3Nq4n5LP/2Rg2KYvuh0WiYNGsmQwcMpJtPB/zy8VW9Lb6qc5u2rFy2jFEWX9Wxix/2Dg707NiZl7v48/Jrr2V3OKmFt3cbPKq609bbhwkTpzB7zsx87WbPnsGECZNp6+2DR1V32ni3zk5bvmwFXfy60cWvG5GRUapqq1rVA2/v9kycOJk5c2Y8QttMJkyYhLd3e4t9jjY3Nzdat/bi5s1b+e77V9BoNEyfNYu3Bgygo48P/t268WyNGjY2L/XtS1JSEu3atOH7ZcsYZynTxMRE3nnrLfw6dmTMqFEsWLRINV1ZFDT+MNeDTnTu5MeVK1dVqwcjpk9h3FuDGdDRn3b5+NDY6GjmPcKHTlwwjzXfLWdAx668q7IPLdK+SqPhuTEjOPrBOA68MgB9h3aUrOqex8wYGsHB/oM42H8Q0YE5+Xdt9RpOTZ/zN0nTMHPWLAYOGEAHHx+65VMPXrbUg7Zt2rBs2TLGW+rB7cREBr31Fp07dmT0qFEs/NvqQVW823hb6kH++ZDjDyz23t4AnDt/jqFDhnLo4CHVtUn+2/xnOpWEEO8LIc4IIX4sbC3/FZ5rWJ/oazeIuXGTjPR0IncE0dKnrY2N8VY0V86dJzNTsdmuoOBQzAE7e3vsHRzQ2tmRGJ+gmraaDeoRfe0Ghhu3yEjPYPeOnTTz8baxOX7wNx6kpQFw9ugJyuvMo2pe8GrBkX2/kpqUTGpyCkf2/coLrVqqoquBpyfXr17j5o0bpKenE7RtG+19bd9stfftwJaNGwH4JSiI5i3Nb0Jatm7FubNnOXfmDAB37twhMzNTFV1ZdPD1YdPGzQAcOXIUJ2dnXFxdbGxcXF1wKlWKI0eOArBp42Y6dPAFIDU1NduuRIkSKIptuRcEH592bN5sfkA+evQ4zs5OuLiUt9XmUp5SpUpx9OhxADZv3oqvb3vAPIIjaySLk1MpYmNjVdPWwdeXTRs3AU+Tb5vo0MFc9nv27MFkMln2P4LeTY8a1G7YgFvXrmfX0bDtQXj5tLOxMdyK5vK58yi57iX3Z6ujtdNyeN9+AO7fu5ddX9TCx6ctmzcHAo8r05JWZRqIr6/5GqpWdefQocMA7Nt3gI4dfQusqUr92sRfv0XCzRhMGRkcCQ6jXjsvG5sHd+9l/+9Q3BEs9/nD+2lcOXKC9AcPC6zjUTSpW5XSTiUemR526DQ9vBshhMDzuSok300j9nYye49eoGWDZ3nGqQSlSxWnZYNn2XPkvGq6qtWvg/H6TeJuRmNKz+BgcAiN2rW2sTl76Hcepj0A4NLxk5S1tLkVqldFo7Xj1AFzEPzg3v1sOzVwrFGXh4abpBujISOD5D27KPWirbZnOvQgMWgDmXdTADAlJWan3Tv+G5n37/F3URTbj/qeDbmRy1e19bWtX+18fdlq8VW7goJpZvFViqJQokQJtFotxRwdSU9P525Kap5zFATfDj5s2rQFgKNHjuLs5ISLS648c3GhlFMpjmbl2aYt2b7q76RDBx82bbLyo07O+WpzcrIqz02bbbRNmTKJuXM/BtTzoQ09Pbl29So3LGW6fds2fHKVqY+vL5ssZRocFETzlubY5/SpU9k+8/z58zg6OuLg4KCaNih4/LFnz17V60GtXD40fHsQLZ/Sh/7+N/nQouyrStepxf2bt7gfHYOSkYExJByX1k8eRyce/gPTPfVeeliTux5s27YN31z1wNfXl41W9aDFP1oPOlj5gyM4OTs9oh44ceTIEcDWH1y6eInLly+rqkkigf9QpxIwDPBVFCV7/KcQwq4Q9fy/p7xOR2xMTPbvOIORcjrdE+175sgxjv56iHUHIll3IJLDe/Zx/ZJ6jWA5nSvxBkP273hD7J9q6/BSTw7v3pe9b1yM9b5GyunUmcal0+uIiYnO/m2IiUGnt9XlqtcRE222MZlMpKSk8EyZMnhUrYaiKCxduZKNO7bz9pAhqmiy1acnOjqnTA0GA3qdbWCm1+mJscrbmBgDOn2OzegxH7L/wF669+jGwoXqvcXR6V2JtioXg8GIPlfe6fU6DAZjjjaDEZ3eXHazZ81j/IQx7N0bxvgJY5j/Sf7Th/6aNl2ufIt5RL7l2JjzLe89+dLLL6v21ry8zpVYqzyLMxhxecI6WrmqB6nJKcz+3xcsDdzIu+NHo9Go61J0Oh3R0U9ZpjFGdJZruHDhUnYHU+fOHXBT4SHiGVcX7hhyOhyTjHGUdi2fx67lKz2ZFLwG/w/fZdPczwt8XrUw3k5GX7509m99OWeMt5MxJthu15UrjTEhWbXzltG5ctuqnBINsZTJFQhb07pXN47vOWDW6FGZeykpBHw+jxkbV9J39HCEiveafTkXMuJztGUkxGJfzlabQ4UqOFSoQpV53+H+yTJKNmqm2vkfR1FsP3R6PTFW/t2Yq50Hs68yWHRb+6pdQcHcu3ePyN8OEnpgHyuWfEdSUlKBNdno0+mIscqzGIMh37YjxtpnxBiy2w6ANwb0Izh4Gx9/MhdnZ2dVteXxo4/RFmOlzdfXB6PRwJkzZ1XTBHnL1Bx/5LrP9Po88Ufu6Xed/Pw4dfIkDx+q2yGhRvyRxUsvv0RkZGSBNbnkigf/ig+d+b8v+C5wI0NV9qFF2VcVc3UhzRiX/TstNo5iLnn9gWvb1jRdvYz6c2dQ7E/8hZro86kH+lz3kO4J6kFnPz9O/i31QEd0tNVzwiPrgbU/yPssITFjUpQi+fdv5D/RqSSE+AaoBgQLIZKEEKuEEPuAVUIIRyHE90KIE0KII0KItpZ9BgohtgghQoQQV4UQAUKIURabX4UQZf/kfJFCiEVCiMOW0VFNhBCbhBAXhBCzrez6CSEOCSGOCiG+FUJoLX8rhBAnLZpGWmzfF0KcFkIcF0KssWx7UQhxwKJpvxDiOcv2EkKIdRb7zUKIg0KIxpa0DpZ9/hBCrBdClLJsn2d1/AV/U1E8MRXcq+BevRqveLWnb8t2NGrelHqNny8ULW27daFGvTpsXLqiUM7/pNjZaXmhSRNGjxjB67374NupY/ab4aLEgvmf0qK5F1u3BDJgQP5rlxQGr7/+CrNnz8PLqz1zZn/MvI/zH1pfmLwX8B6mjAy2bN5S2FLQarU0aPICX839hCE9X6ZC5cp07t2zsGXZMG7cFF5//RW2bl1LyZIlSVd5OuifsW/NZuZ0foXtC7+hw5Cic5//G2ju34mq9WoTvHw1ABqtHTVf8GTt/C+Y8fKbuFSqSKseXR5zFHURWi0OFSpzfdJQohdMQR8wCU3JUv+ohoJSVNqP+p4Nycw00fbFZnT0as2AdwZRqXLlQtWUmx9X/0Sb1u3x8+tGXGwskyarv67jX8HR0ZH33hvKwoXqvfRQkxo1ajB2/HgmTyga+ZUf7wUMs9SDrYWqQ6vVmtcVnfsJQ3u+jFvlynQqBB9aVH1V/J797O3xCgf7vc3tQ4epO63o3lO5qVGjBuPGj2dSEa4HEona/Cc6lRRFGQpEA22BRUAdwEdRlFeB98wmSn3gVeAHIYSjZdd6QC+gCTAHuKcoSiPgAPC4lvehoiiNgW+ArZbz1AMGCiHKCSFqA32BloqieAIm4HXAE6ioKEo9i6bvLccbDzRSFKUBkLUi5lmglUXTVOAjy/ZhQKKiKHWAKcALAEKI8sBky7U/DxwGRgkhygE9gbqW4+e7YIMQYrClo+zwkiVLHnP5EG804uqWs5iqi15HgtH4J3vk4OXbntNHj5N27x5p9+5xKGovdRp5PtG+T0KCMZbyVm8eyutd89Xm2aIpfd8dxMyhI7LXJ0owxuLiZr2vjgSjOlOljAYjbm45CzXq3dwwGmx1xRqMuFUw22i1WpycnLiTmIghxsDhg4e4k5hIWloaURER1KlXr8Ca+r/Rn6Cg7QQFbSc2NpYKVgvk6vV6DEaDjb3BaMDNKm/d3PQYDbY2AFu2bKVT544F0tav/6ts276Jbds3ERcbRwWrcsk9ggXyjnRx0+swWt7k9erdnV92hgAQFLSzwAt1m/NtB0FBO4iNjcuVb26PyLccG3O+5ejv06c37du3Y8QI9RbNjDfG4mqVZy56HXFPWEfjDEYunj5LzI2bmEwm9oSEUfMRi+E+Df36vcK2bRvYtm0DcXFxVKjwlGXqpsNouYbLl68wcOBgunfvy7ZtQVy/fqPA+u7ExvGMPmdkYmmdC0mx8Y+0N085aFXg86qFrqwzhvicUSGGhGR0ZZ3RlbPdbkxIQldOvdEZicZYylqVUxm9K4mxcXns6jRvgv/ggXz23ujsNjfREMv1s+eJuxlNpsnEH2FRuNeppZq29IQ47MrnaLMr50p6Qlwum1hSD+0Gk4n02Gge3rqOg9vf1xFS1NsPo8GAm5V/1+XTzscajOgtuq19VZfu3dkbuZuMjAxuJyRw5PfD1G3QoMCa+vd/PXth7bjYWNys8sxNr8+37bAevah302e3HfHxCWRmZqIoCj+vWUfDhgXT179/P4KCAgkKCsynPB+vzc2izd29CpUqVSY4eDt790ai1+vZvn1rnmnBf4XcZWqOP3LdZwZDnvgjMTEx+zq+XrKEMaNGcf369QLrAfXjj5x6MFIVfXG54sGC+NC9IWHUUMGHZlGUfdWD2DgcdTkjjxxdXXgQl6vNTU5GsfiAW1t34Fyr5j+izZBPPTDkqgfGx9SDb5cs4UPV60EQQUFBlnpg9ZzwyHpg7Q/yPktIJGrzn+hUyodARVGyJuN6AasBFEU5C1wDslquCEVRUhRFiQOSgG2W7ScAj8edw8r2lKIoMYqiPAAuA5WB9pg7e34TQhy1/K5mSa8mhPhSCNEJyJp/cBz4UQjRD8iwbCsNrBdCnMTcWZb1CQAvYI3lmk5a9gVohrlDbZ/lnAMAd8u1pQHLhBC9gHwXh1AUZYmiKI0VRWk8ePDgx1w+nDt+koruVdBXqoidvT3eXfzYHxbx2P3AvIB3wxcbo9Fq0drZ0eDFxqpOfzt/4hQVPaqgq1QRO3s7WnfpxMEw2ykB1WrXImDmFGYOHUGS1aKwv+/dT6OWzSnl7EQpZycatWzO73v3q6LrxLFjuFf1oGLlStjb2+Pn7094SIiNTXhoCD169wago58fv+43n3tvVBQ1aj2Ho6MjWq2WJk2bcunChQJrWrVyFX5+XfHz68quXSH0srxJa9TIk5SUFOJyPRjGxcaRkppKI0snYK/ePdkVEgqAh4dHtp1vBx8uFbBMV6/6Gf+uvfDv2otdIWH07NkdAE/PBmZtcbYBVFxcPKmpqXh6mh8QevbsTmhoOABGYyxNLYvBt2jRjGtXrxVImznfuuDn14Vdu3bRq3cv4GnyrRe7LGXfpk1rhgwdwqC33yFNxTUXzh4/QSUPd9wsdbR9Vz/2PWEdPXv8BKWcnShd1jzk+/nmTbl68VKBNa1evQZ//z74+/dh165wevbsBmSVaeojyvSuVZl2IzTUfA3lypkHlAohCAgYwk8/rSuwvhsnz+JSpRJlK7qhtbOjUef2nIrYa2NTvkrOFxnrtG5O/PWbBT6vWrRrUpstkUdQFIWj567jVMIR17LOeHnWYO+xiySl3icp9T57j13Ey7PG4w/4hFw5eQade2XKV3RDa29H086+HInYbWNTpXZNBk4bz+cBY0i5nbNm0eWTpynh5IRTmWcAqN2sMdGXrqimLe3CaRzcKmPvWgHs7HBu1YHUQ3tsbFJ/jaREvRcA0DqVxqFiFR4ao/M7nCoU9fbj5LHjVKlq66siLO18FhGhoXS3+KoOfp05uN88nTHm1i2atmgOQPHixWnYqBFXLhW87Vi16sfshbV37QqlV68eAHhm5Vmuh9a4uDhSU1LxzMqzXj0I2WW+Bus1jjp29OX8+YKtL7Zq1Wr8/Lrh59fN7Ed75fKj+WhLSbEqz1492bUrlHPnztO4cVO8vLzx8vLGYDDQtWv3PO3iX+H4sWN4VK1KpcqVsbe3p6u/P2G54o+w0FB6Wcq0s58fByzxh5OzM0u//55PPv6Y3w8fLrCWLNSMP8z1YDCD3h6sWj04Z/GhWXFuu65PHufm50OvqeBDsyjKvir5zDmKV66Eo5seYWeHzrcdcbtt42iHcjkTQlxateDuVXU6aB5H7nrg7+9PaK56EBoaSu9H1IPl33/Px39LPfAzf7nNxh80+pN6kEKjRo2ALH+wSzU9Ekl+/FfXFLr7hHbWK4FmWv3O5PF5Z22b+zh2gAB+UBQlz9hIIURDoCPmEUkvA28BXYDWgD8wSQhRH5iFueOrpxDCA4h8jCYBhFhGaOU+54uYO7b6AAFAu9w2T0umycSXM+Yw7/slaLQadq7fzLULlxgwIoDzJ09xICyC5+rXY/rXn1PK2Znm7bwZMOI9BnXuzu6du/Bs3pTvdpgXZfxt915+DX/c5T2dtq9nzmXWsq/RaDWEbNjC9YuX6Pf+MC6cPMXB8CjeHjcSxxIlmPDFfADiog3MfHcEqUnJrPnfEhZt/AmAn7/6ltQkddYeMZlMzJo6lWUrV6LRatm4bh0XL1xg+KiRnDx+gojQUDasXccnixbyS1QkSXfuMCpgOADJycmsWLqU9dsCURSF3RERRIU/WXDzpESER9C2rTdRuyO4fz+NMaPHZqcFBW3Hz68rAFMmT2XBp5/g6OhIZGQUkRGRAIwbP5Zq1dSDtSoAACAASURBVKqSmalw69YtJk2crJq2yIjdeHu3JjxiJ2lpaYwbOyk7bdv2Tfh3NTvhaVNn8cknH1HMsRhRUXuIjDQ/2E6cOI2pUyagtdPy4MFDJk1S72tO5nxrS9TuSO7fv58r33bg52eeyjNl8hQWfDo/T77NmDkDBwcHVq9eBZgXZ5w0qeB5ZzKZ+GzGbBasWIpGoyFowyauXrjIWx8M59yJk+wLi6BW/XrM/vpLnEo706JdW94aMZwBnf3JzMzkf3Pn89mq7xFCcO7kKbatXV9gTdZERu7G27sV4eHBpKXdZ9y4nK+/bdu2AX//PgBMmzabTz6ZTbFijpYyNXcI+Pv70a/fKwD88ksoGzZsLrCmTJOJjR8tYsi3n6LRaji4eQeGS1fp9N7b3Dh1llOR+2j1Wi9qNmuMKSODe8kp/DQx5+ssU35ZR7FSJbGzt6N+u1Z8M/hDjJevFlhXFqMWruHQySskptyl9aB5DH/FhwzL4rSvdmxKmxeeI+qPc/gO+5Tixez5KMAcGD/jVIJhL7Wlz9ivAHjvpXY88ycLfj8tmSYTq+csYPR3X6DRaNizeRvRF6/QM2AwV06d4WjEHvqOHk6xEiV4b5F50G1CtIHPA8agZGaydv4XjF2+GITg2qmzRG5QcQpXpgnjkvlUnv4FaDQkhW3j4Y3LlH9tMGkXz5B6aA93j/xKyUbNqLp4DYopk9gVX5CZYh7ZVeWjJThUckfjWJzqy7ZhWDyHu0d+VU1eUWw/TCYTc6ZOY8nKlWi0GjavW8+lCxcIGDWSUxZftXHtWuYtWkRwVARJd5IYbfFVP69cxewF89ka8gtCCDav38D5s+quDxQREUnbtm2IjArj/v37jB0zPjttR1AgXfzMndVTpkxn/oKPcXR0JCoyKnu9qQkTxlK7Tm1QFG7evMXEifl/efKva/MmKircXJ5jxmWnBQUF4petbRoLFlj5URW/QJcfJpOJGVOnssISf2xYt44LFy7wwahRnDh+nLDQUNatXcunixYRHhXFnTt3GBFg/lrYGwMG4O7hwfD332f4++avug7s35+EBPU+sFLQ+GPGzOmWerASMC/2rUY9+HzGbOZbfGiwxYe+afGh+y1x7uyvv6RUaWeat2vLwBHDedPiQ7+eO5+FFh96/uQptqvoQ4uyr1JMJs4t+JxGX8xHaDREbwvm7pWrVBv8JslnzhG/Zz+V+/bGpVULFJOJ9OQUTs2cl73/C99+QUn3KmiLF8dr23pOz/6E2wd/U0WbyWRi2tSprLTUg/WWejDSUg9CQ0NZu3YtixYtIiIqiqQ7dxhuqQcDLPXg/fff531LPXjjb6kHbYnaHWXxB2Oy04KCgvDz8wOy/MECSz2IzK4HHTt2ZPqM6ZQtW5bl3y/nzOkzvPFG0Zn2KPn3ItT8+lJRRghxFWiMucMkVVGUBZbtozBP+3pbCFETCME8UulVoLGiKAHW+yuKEi+EGGidls+5IoHRiqIcFkJ4W/7vap2GeTTQVszT32ItazQ5Ye7weqgoSrIQoh7mUVTPA1UURbkqhLDHPJqqDuapcasVRdkohJgODFQUxUMIMQaopijKu0KIOsAxoLllv9+BdoqiXBRClAQqYp4aWMKiozRwWVGUco/JUsXn2bqPMfnnCb14ii41Gxa2jHzZcf4Ytdw9CltGvpy9dhUP92qFLSMPV6+ZRzJVr6bekHC1uHT5NAAe7lUfY/nPc/XaFVpXr13YMvJl96UzVK9e8GmZfweXLp1kZL2iM1Uti0UnLaNmTm0sXCH5UdfcKTWwTtNCFpKXFacPAnC2+4uFrCQvtbYeKpJtB5jbj7pFVNupa1eo6qHeCDq1uHLVPCrYw+PZQlaSl6tXLwJQ3T3vJ9sLm0vXrhXJ2APM8Yd3EfWjkZfOFGlfFdrUu3CF5IPPwUgAqhbBenDlmnlkvEcRfEa4eu0qmAcl/L9kSUPfItkRMvhYyL8uz/+rI5Ws+R/wtRDiBOZpZQMVRXkgxN9bloqinBZCTAZ2CSE0QDrmdZfuA99btgFMALTAakuHjwC+UBTljhDiE8xrQE0GduS6ph+EEKcxr7t0CkhSFCXO0iH2sxCimMV2MpACbLWsJSWAUX/flUskEolEIpFIJBKJRFJ4mApbwP8j/jOdSoqieFj+nZ5rexrwZj72K4AV+eyfJy2ffb2t/o/EalparrS1wNp8DpHfZ8688jnPAXLWfwJzBxGY10fqpyhKmhCiOhCKeZQSiqKEY154PDdF71WuRCKRSCQSiUQikUgkkiLLf6ZT6T9GCSDCMlVOAMMURXlYyJokEolEIpFIJBKJRCKR/D9CdioVACHEV0DLXJs/VxTl+8LQk4WiKCmY14+SSCQSiUQikUgkEolEYoWc/qYeslOpACiK8l5ha5BIJBKJRCKRSCQSiUQiKQw0jzeRSCQSiUQikUgkEolEIpFIbJEjlSQSiUQikUgkEolEIpH8Z5DT39RDjlSSSCQSiUQikUgkEolEIpE8NbJTSSKRSCQSiUQikUgkEolE8tTITiWJRCKRSCQSiUQikUgkEslTIzuVJBKJRCKRSCQSiUQikUgkT43sVJJIJBKJRCKRSCQSiUQikTw18utvEolEIpFIJBKJRCKRSP4zmFAKW8L/G+RIJYlEIpFIJBKJRCKRSCQSyVMjO5UkEolEIpFIJBKJRCKRSCRPjVAUOexL8peQN45EIpFIJBKJRCKR/P9FFLaAv4v5DX2K5PPsmGOh/7o8l2sqSf4yl15uUtgS8lB93W9c6FP0dAHU2PAb9d2rFbaMfDlx7TI1nm1Y2DLycOHiMQDq1W1byErycvJUBACeHtULWUlejl69RLOqNQtbRr78euU8Sxr6FraMfBl8LISXar1Q2DLysP7s7wAMrNO0kJXkZcXpg+Z/Tm0sXCH5Ubc3ABHN2hSykLy0/TWqSLYdYG4/xtYvenkG8MmJKJ5z9yhsGXk4d+0qAF1qFj0/uuO82Y828Ch68cfxq5fxKKJx0dVrl5nZoF1hy8iXqcfDifuweWHLyIPLpwcAON+z6MXhNTf/BhTtOvq8x7OFrCQvf1y9WNgSJP8S5PQ3iUQikUgkEolEIpFIJBLJUyNHKkkkEolEIpFIJBKJRCL5z2CSywCphhypJJFIJBKJRCKRSCQSiUQieWpkp5JEIpFIJBKJRCKRSCQSieSpkZ1KEolEIpFIJBKJRCKRSCSSp0Z2KkkkEolEIpFIJBKJRCKRSJ4a2akkkUgkEolEIpFIJBKJRCJ5auTX3yQSiUQikUgkEolEIpH8ZzAVtoD/R8iRShKJRCKRSCQSiUQikUgkkqdGdipJJBKJRCKRSCQSiUQikUieGjn9TSKRSCQSiUQikUgkEsl/BhNKYUv4f4McqSSRSCQSiUQikUgkEolEInlqZKeSRCKRSCQSiUQikUgkEonkqZHT3yR/K8UbNqf8mx8iNBqSw7ZyZ+sPeWxKNveh7EvvgAIPrp0n9osp2WmieEmqLFzL3d+iiF8+X1VtJTyb4/Lmh2DRlrglr7ZSzX0o+/I7ADy8eh7D51OwK6/Hbex8hNCAnR1JwWtJ2rVJNV0t27Rm3LSpaLUaNq1Zx7Kvv7FJt3dw4KOFC6hTvx53Eu8wJmA40TdvYWdnx/SP51KnXj20dloCN25m2f++Vk1XFlOmjKONtxf376cxbtwUTp86m8dm5KgAevb0x9nZGc+GzbO3N2nyPJMmj+W552ow8oNx7NwZqqq2CROG06p1U9LupzFp0secOXMhj837779Nt24dcC7txItN/GzSOnb0Zth7A1AUOHfuEuPGzlZFV4s2rRk7dQoarZbNa9fy/dff2qQ//2ITxkydTI1atRg/fAShwTuz0/x79+KdgPcA+G7xV2zbqN69BtCsdStGTpuERqMlcO16Vn2zxCbd88XGjJwyieq1nmPK+yOJCP4FAH3FCnz8zVcIjQY7OzvW/7CKzT+tUVVbpRaNaTFuGEKj4ezmYI4tX5uvXdX2XvgunMamV98j/vR5KjZ7nhdHvI3W3h5TejoHF31H9KGjquny9GrOm5NGo9FoCduwhS3frbBJ7zrwddr36YHJZCL5diL/mzSD+GgD5SvoGfPlp2g0Aq2dHcGr1xKydqNqugDqezXjtQmj0Gg17N4QyI6lK23SOw54ldZ9upOZkUFK4h2WTZ5NQrQBgLJuOt6aOYmyelcUYNGQkcRHx6iia8LijUQePku50iXZ/vkHedIVRWHOsu1E/XEOx2IOzAvoTd3qFQHYHPEHX2+IAODdPm3p2fZ5VTRZU7bZi9QYORw0GmICd3B91U826founage8C4P4uIAuLVhMzGBOyhV41lqjh2FXckSKJmZXFuxitjQCFW1FdX2o2bLF+k+bjhCq+HQph1ELrPNs2YvdaP5qz1RTCYe3LvPxhkLiL18jRrNG9P5g8HZ9XPHp19z6dAR1XQBtGrThknTpqLRalm/Zi3ffW3rC+0dHPhk4ULqWvzoyIAAbt28CcBztWoxY+5HlCpViszMTPp0687DBw9U0/ZCqxYMnjQOjVbDrvWbWb9kuU16jzf70/GlnpgyTCQlJvLZhGnEWeph+57+9H3XHJOs/fo7wjZvU00XWOKPqVPRaDVsWruO5fnEH3MWLqBOvXok3bGKP+ztmfrRHOrWr0+mksnHM2Zy+NeDqmoDmDZ9Km3benP/fhqjR4/h1MlTeWzq1avHgk/n4+hYjIiISGZMnwnAqA9H4uvri5KZSXxCAqM/HENsbKwquqq3bELHcQFoNBqObApi3/KfbdJfeMmfxq90RzFl8vDefbbPXEj85WsAuNaoRtepI3EoWRJFyWTpq+9iepiuii7755pRqscHCI2W+wcDuR++yia9ZLcRODxraU8dHNGUKkPC5A5oK9TAqfcYhGNJyMzkXtgKHhwNU0VTFiUaNcf1bXMMnhS6lcRN+cTgLXwo94rl+eDqeQyLplDMoyauQ8ehKV4KMk0kbPie1H0hqmorynW0RZvWjJ46Ga1Wy+a161iRjz/4cOpkatR6jgnDPyDMyh907d2TQRZ/sHTxV2zfuFlVbf9G5PQ39ZCdSpK/D6HB5e2xRM8OICPBSKW5P3D38G7Sb13JNrHXV6ZMj4HcmjKIzLspaJ3L2ByibN+h3D+jbrAJgEaDy6Cx3JoZQMZtI1XmmbU9vJlLW6+B3Jxsqy3jTjw3J76FkpGOcCyO+8I1pP62G1NivAqyNEyaNYPBr7+BwWBgTeAWIkJDuXzhYrZNr74vk5yUTJc27ejk35WR48cxJuB9OnTxw8HBgV4dO+Po6MiW0F0EBwYSffNWgXVl0aaNF+4eVfBp74+nZ31mzphMnz798thFhEexetUaQkJtnWl0tIFxY6fw9qABqmnKolWrplRxr4hf5340aFCbKVNH8tqrw/LYRUbu56efNhMUvNpme5UqFRn0zmv07zec5ORUypZ9RhVdGo2GCTOnM7TfAIwGAz8GbiYqJIzLF3PK1BAdzdTRY3njnXds9nUuXZohI4bzmn8PFEXh5+1biQwJJSU5WTVto2dO4/3+bxJrMPD91o3sCQ3j6sVL2TbGWzHMGjOe195522bf+Ng4BvV+mfSH6RQvUYKfftnOntBw4lUK0oVGg9fE4ewYMo67xnh6/rSYa5EHuHP5uo2dfYni1Hu9J8bjZ7K3pd1J4pf3p3IvLoEyz3rg9/VcfvR9VRVdGo2Gt6eOZ9Zbw7htNDJ3/SoOh0dx81JO23HlzDnG9enPw7Q0OrzSh/6jR7Bo1ATuxMUz6ZWBZKSn41iiOJ9uW8fhiCgSYwvedoA5z/pPHsP8QcO5bYxl2toVHInYQ7SVtmtnzjPjpQE8THtA2769ePnDAL7+cDIAg+dOY9u3Kzh14BDFShRHycxURRdAr7bP069zM8Z9sT7f9N1/nOdqTAK7vvqQY+dvMH3JVtZ/PIw7KfdYvC6MjZ+8hxCCXmMW065JbUqXKq6aNjQaao7+gKPvf8iD2Dgaf/8t8Xv2ce/qNRuz2NBwLnz6uc02U1oaZ2bO4f6NWziUL0fjFd9x+9ffyEhNVUla0Ww/hEZDz0kf8N3gD0kyxDF8zbecjthH7OWcPDsSFMqv6wMBqOPdAv8x77Hs3bHcTUxiRcAEkuMS0D1blUHfzGeOT58Ca8pCo9EwddZM3ny9H0aDgQ2BgYSHhnDJyo++1PdlkpOS6NDGGz9/f0aPH8/IgAC0Wi3zP1vEmJGjOHfmDM888wwZ6eo84Gdpe3faRCa/OYR4g5FFG3/i17BIbly6nG1z+fRZPuj1Gg/S0vB79SXeGjuSjz8YS6nSzrwWMJQRvV4FReHzzWs4GBZJanKKatomzpzB4H5vYDQY+DlwC5EhoTb3Wq+XzfFHV29z/PHB+HGMDXif3q+8AkDvTp0pW64c/1uxnFe7me87tfBu603Vqh54t2lHo0aezJk9ix49euWxmz1nFhPGT+DIkaOs+GE53t5tiIyMYsm337Hw00UADBw4gBEj3mfSpMkF1iU0GjpPHMHqwWNINsYx6OevORe5P7vTCOBEUBi/rzfHQzW9W9BhzLv89O54hFZDz7kT2DJxLsbzlyle2pnMDJU+ci40OPX6kDvfjiAzKZYyHyzn4ak9mIxXs03uBn7OXcv/jl59sKv4nPnHwzRSfp6JKf4mGufyPDPyex6ePYiSpk67hkaD6+Cx3JoeQHqCEfdPfuDuoVwxuFtlyvYeyI0Jlhi8tDkGz3yYhuHz6aTH3EBbpjzuC1Zx78gBMu+p1+YW5To6buZ0hln8werATUSFhHHFqo7GREczffRY+r8zyGZf59KlGTxiOP38e6IoCj9u30JUSJhq8aREUqDpb0KI94UQZ4QQP6olSC2EEN2EEOP/JL2HEKLOXzz2QCFEBavfV4UQ5Z9Ww/93ij1bl3TDDTJib4Epg9T9IZRs0sbGxql9D5J+WU/mXXODa0pOzE5zqFoLbemy3D+m/tsuR2ttGRmk7MurzdmnB0k789GWkYGSYQ4yhZ0DCPVmkdb3bMj1q9e4eeMGGenpBG/bTltfXxubtr4+BG40j24ICQqmacsWgPlNf/ESJdBqtRRzdCQ9PZ3UFJUCAAs+Pm3ZYnnrcvToCZycnXBxyXPrc/ToCeLi8j4o37oVzblzF1R9WM2ibbuWBAbuAuD48TM4OZWkfPmyeeyOHz9DfPztPNv7vNSVNT9vITnZnGe3b99RRVc9z4bcuHaNW5Yy/WXbdrw7+NjYRN+8xYWz51AU23xp0aY1v+7dR3JSEinJyfy6dx8tvW3v04JQp2EDbl67RrRFW8i2HbT2tdUWc+sWF8+ey1NmGenppFvepto7OJhH7qmIS73nSLoRTcotA5kZGVzaGYmHd4s8do3fG8jR79dievAwe1vC2Uvci0sAIPHiVbTFHNDY26ui69kGdTFcv0HszVtkpGewL2gXjdt729icOniYh2lpAJw/doKyelcAMtIzsh9Q7Rwc0KicZ9Xq18F4/SZxN6MxpWdwMDiERu1a29icPfQ7D9PMoy4uHT9JWZ1ZW4XqVdFo7Th14BAAD+7dz7ZTgyZ1q1LaqcQj08MOnaaHdyOEEHg+V4Xku2nE3k5m79ELtGzwLM84laB0qeK0bPAse46cV00XgHOd2ty/eYu06BiUjAyMIeGUb+31RPvev3GT+zfMHfcP4xNIT0zEvkxp1bQV1fajcv3axF+/xe2bMZgyMjgWHE7dtrZ59uDuvez/HYoXz34fHH32AsmW+mm8eAV7x2JoVaqfAA08Pblm8aPp6ens2LaN9r4dbGza+XZgs8WP/hIURHOLH23ZuhXnzp7l3BlzJ/WdO3fIVNFf1WxQj+hrNzDcMLcfu3fspJmPt43N8YO/8cDSfpw9eoLyljr6glcLjuz7ldSkZFKTUziy71deaNVSNW31PBty3epe27ltO2072MYf3h1yxR8tzPlWvcazHNq/H4DbCQmkJKdQt0F91bQBdPD1YZNlZMWRI0dxcnbGxdXFxsbF1QWnUqU4csQ8MnXTxs10sFxDqlVHb4kSJVTr8KpYrxaJ129x51YMmRkZnNoZznNtbX3VQ6u6YF/cESznrt68CcbzlzGeN3dY3E9KVi0+sqtSB1PCTTJvR4Mpg7QjoTjUbf1Ie8dGHXhwxBxDmeJvYIo3j9zLTI5HSU1EU0qdF20AjjXqkh5zg3SjOQZP3htCyRdt26bSvj24E2wVgyeZY/D06Oukx9wwb0uMx5R0O7vDSQ2Keh29aeMPduTxBzEWf5CZyx80b9OKg1b+4ODefbTwfvT9IJE8LQWNaIcBvoqivJ61QQhRJEY/KYoSqCjKvD8x6QH8pU4lYCBQ4XFGT6BBdYQQ2n/yfH+GXVkXMhKM2b8zEozYlbUNABwqVMHerQoVZi6l4uzlFM+aKiUE5d/4gIRVtm+FVdUW/2TaKs1eSqWPllPCM2cal105HVU+/Ymq324ncetKVUYpAbjq9RhicqabGGNi0Ol1uWx0GCzDbE0mE6kpKTxTpgwhQcHcv3eP8N9+ZdeBvfyw5DuSk5JU0ZWFTudKTExOvhkMRnQWZ1rY6FzLYzDkjJIxGuPR6fJ2eD0Kd/dKuHtUZtXqL/nxp69o6dVEFV2uupzyAjDGGHDV6f5kD3X2fRJc9DpiYwzZv2MNBlz0T358Vzc9q4MDCdwfxapvv1NtlBJASdfy3DXEZf++GxtPyVzlWa7Ws5TSu3Bjz6FHHqeqTyviz1wkU6XRBmV1riRY1YHbBiPldC6PtG/fpztHdu/P0azXsWDrGr6JCGLL0hWqjVICKKNz5bYhR1uiIZYyro/W1rpXN47vOQCA3qMy91JSCPh8HjM2rqTv6OEIzT+37KLxdjL68jmdMfpyzhhvJ2NMsN2uK1caY4K6b1aLuZQnzerefRAbR7F8Ostd2rahyerl1P1oBsXyyVenOrUQ9vbcvxmtmrai2n6Udi1PklV7m2SMwzmf9rb5Kz0YF/QTfqOGEjg3rz+v79uGW2fOY1JxNJBOr8MQk1MG+flRnV5HTLTZxmQykZKSQpkyZahatRqKorB05Uo27djOoCFDVNMFUE7nSrwhp82NN8RS7k/KpMNLPTm8e1/2vnEx1vsaKaei/9Xp9BijbeOP3PeLTqfLtrGOP86dOYO3jw9arZaKlSpRu3499G6PDZOfTp9eT7SVPoPBgF6nt7HR6/TEWOVvTIwBnT7HZvSYD9l/YC/de3Rj4cJFquhy0pUnyZhTF5KN8Tjl0z407tudgB2r8Rk5mJ3zFgNQzqMSKPD61x/zztpvafFmX1U0AWhKu2C6k6MrMykWben8/YGmjB5NWTfSL/yeJ82uch3Q2mNKUG/Ue34xuH25vDG4Q4UqVP5oKZXnLadEo+a5D4NjjTpgb0+64aZq2opyHXXJ1abHFhF/IJFAATqVhBDfANWAYCFEkhBilRBiH7BKCOEohPheCHFCCHFECNHWss9AIcQWIUSIZXRPgBBilMXmVyFE3mEFOeeLFEJ8LoQ4KoQ4KYR40bK9rOWYxy3HaGB1rsWPOFYLoBsw33K86kIIT8v+x4UQm4UQ+XZ7CyH6AI2BHy37Zo3BHy6E+MNyzbVyaxBCvGTRfUwIsftPrnOgEGKr5XovCCGmWaX1E0Icspz326wOJCFEqhDiUyHEMaC5EGKeEOK05VoWWGw8hBDhlm1hQogqlu0rhBBfCCH2CyEuW67vn0Ojxd6tMtEzhmD8fDKuQyahKVEK5w59uHdkH6bb6j2kPi1Cq8XBrTI3pw3B8NlkXIeatYHZAV7/8DWuBvTEuU0XtKUfeev+Y9TzbEhmZibtX2xOZ682vPHOICpVrlzYsv412Gm1uFepyJsDP2DsmFnMmD4aJ6eShS2rSBMbY6Bf52708fbFr3dPypYv98+dXAiajx7KgU+/faRJmeruNP1gEHtmffbP6bKilX9nqtWtQ+CynHWNEgxGRnd/heEdu+PdoyulyxVO29HcvxNV69UmeLl5GqhGa0fNFzxZO/8LZrz8Ji6VKtKqR5dC0VYUid+znwM9+/Jbv7dIPHSY2lMn2qQ7lCtLnWmTODtrXvYoBAkcWLOFj/1eI2jRt7Qb/IZNmq66B34jh7BxxqeFpC4vWjstLzRpwpgRI3itdx98OnWkWcu8IyT/Cdp260KNenXYuHRFoZz/adiybr15yty2rYydNoVjv/+BKVOlaVwqsmD+p7Ro7sXWLYEMGPDG43dQkcNrt7K4Sz/CPltCq8HmZQM0Wi2Vn6/Hpglz+H7A+9Rq50XVpo3+UV0AxTx9eHg8AnKNbtE4lcPptamkrJn9z7drlhj8xpQhxCycjG5YTgwOoC1TDv2ImRi/nFlobe6/qY5KJH83f7lTSVGUoUA00BZYhHnUj4+iKK8C75lNlPrAq8APQghHy671gF5AE2AOcE9RlEbAAeBxLXwJRVE8MY+Qylo1bQZwRFGUBsBEYOWjdrbSvh8IBMYoiuKpKMoly37jLMc5AUx7xL4bgMPA65Z971uS4hVFeR74Ghidz65TgY6KojTE3KH1Z7wI9AYaAC8JIRoLIWoDfYGWljwwAVkjxEoCBy3HPgP0BOpariVrpeEvgR8s234EvrA6nxvgBXQFHjmySggxWAhxWAhxeMmSJY8yyybjdhx25XJ6we3K6ci4HZfLJpZ7h/eAyURGXDQPY65j71YFx5oNcO70MlUWb6Vc/xE4tfaj7GsBjz3nk5JxOw678o/RlhDL3SxtsdGkW7RZY0qM58GNSxSv7amKrliDAb2bW/ZvnZsbRquRB2YbI/oKZhutVkspJyfuJCbSpXs39kZGkZGRwe2EBI7+/rsqw89f79eXwMC1BAauJTYuDje3nHzT63UYjYXX8ffKqz3YsPE7Nmz8jrj4BPT6nDdCOl15jMYnHwViNMYREbGfjAwTt24ZuHrtJu7ulQqsMdaYU14AUlPhfwAAIABJREFUOjc9sUbjn+yhzr5PQpzBiKtbzltcV72eOMPTHz8+NpbL587TsElj1bTdjY2npD7nzWVJ1/LctSpP+5LFKfusB/5LF/Bq0CpcG9Sm4+czKV+nZra976LpREz+hJSb6iw2DXDbGEs5qzpQVq8jwRiXx65+8xfpNfRtPh42Mt81WRJj47l+4RK1G6v3AJFojKWs1YiMMnpXEmPzaqvTvAn+gwfy2Xujs7UlGmK5fvY8cTejyTSZ+CMsCvc6tVTT9jh0ZZ0xxOeMrDQkJKMr64yunO12Y0ISunLOqp77QVw8jq45bUcxVxce5Jq+m5GcjGLJq+jAHTjVqpmdpi1RggYLP+byN0tJPnVaVW1Ftf1Iio2ntFV7W1rnQvKftLfHgsOo287Lxv6Nz2azZuJH3FZxZBeA0WC0GSWTnx81Goy4VTDbaLVanJycSExMxBBj4LeDh0hMTCQtLY3dERHUrVdPNW0JxljKW42cKa93JSGfMvFs0ZS+7w5i5tAR2XU0wRiLi5v1vjoSVPS/RqMBXQXb+CP3/WI0GrNtrOMPk8nE/FmzedmvKyPeGYKTsxPXLl+hoPR/oz9BQdsJCtpObGwsFaz06fV6DEaDjb3BaMDNKn/d3PQYDbY2AFu2bKVT544F1geQYoyntNVoFGddeVLyaXezOBkcwXNtzVOiko1xXP/9OPfvJJOR9oALew6ir13zkfs+DZlJcWifydGlKe2KKSl/XcUa+ZJ2xHaxa1GsBM6DPuVu8LdkXM+7IHpByC8GT0/IG4On/mYVg0dfx76COQbXFC9JxUmfEf/j/0g7f1JVbUW5jsblatNdi4g/kEig4NPfrAm06mDxAlYDKIpyFrgGZLWSEYqipCiKEgckAVkr+Z4APB5zjp8tx9wNOAshnrGca5VlezhQTgjxVBGnEKI08IyiKFGWTT8ATzvRNOuTKr+T/3XsA1YIId4BHjdFLURRlARLfm7CfI3tgReA34QQRy2/q1nsTUDWJ4SSgDRgmRCiF5A1kbs5kPVpllWWY2axRVGUTEVRTgOPHAupKMoSRVEaK4rSePDgwY+5BHhw6TT2blWwc6kAWjtKtfDl7mHbQVp3D0VRvK75yxMap9I4uFUh3XiL2C+ncH2YP9cDupOw6nNSdgdx+6d8B579JdIunsbBrQp2rhXAzg6nlr7c/c1WW2oubfYWbXZlXREOxczbSzpRvFZDHkZfy3OOv8LJY8dxr+pBxcqVsLO3p7N/VyJDbL+QFhkaRrfevQHw9evMof3m6Ssxt6Kz1zcoXrw4DRp5csVqYcG/yo+r19KtW1+6detLaEgEPXr6A+DpWZ+UlNR81076p1jz8xb69H6HPr3fITxsH926mdfNaNCgNqmpd/NdO+lRhIXvpcmL5s7BZ55xxsO9EjduFLwz4tSx41Tx8KBCJXOZdvTvSlTIk31FZX/Ubpq38sLJ2RknZ2eat/Jif9QjBzo+NWeOn6CyhwduFm2+/l3YE/pk2lz0OooVM9cDJ2dnGjZ5gesqPERkEXfqHKWrVMSpoh6NnR3VO3lzLepAdnp66j1WevfhZ7/+/OzXn9jjZ/hlxFTiT5/HwakknRbP5tDnyzAeVTcYvnjiNG7ulXGtWAE7ezta+nXgcHiUjY1H7ecYPGMSHw8bSfLtnHXiyupccbDkWUlnJ2q94En0FXXaDoArJ8+gc69M+YpuaO3taNrZlyMRtvdLldo1GThtPJ8HjCHFStvlk6cp4eSEUxnzuhm1mzW2WeD776Zdk9psiTyCoigcPXcdpxKOuJZ1xsuzBnuPXSQp9T5JqffZe+wiXp41VD13ypmzFK9cCUc3PcLODp1vO+L37LOxcbAaUVa+VUvuWhbxFnZ21P94NoagX4iLsL0P1KCoth83T56lvHslylTUo7Wzo2HndpyOtM2z8lUqZv9fq3VzEq6bp6g4OpXiza/mEfzZt1w7qu4DIcCJY8fwqOpBpcqVsLe3p4u/P+Ehtg/M4aEh9LT40Y5+fvxqWQ9ob1QUNWs9h6OjI1qtliZNm3LxQt6viP5Vzp84RUWPKugqVcTO3o7WXTpxMMz2vqlWuxYBM6cwc+gIkm7n+LDf9+6nUcvmlHJ2opSzE41aNuf3vftzn+Ivc+rYcdw9PKhoudc65Rd/hOQffzg6OlK8uHngfjMvL0wZJpsFvv8qq1auws+vK35+Xdm1K4RevXsC0KiRJykpKcTl6ryJi40jJTWVRo3MvrxX757sslyDh4dHtp1vBx8uqRAfAdw6dZay7hV5xuKr6nZqx/nIAzY2Za3qQs3Wzbh93TyV7NK+33CtUQ07x2IIrQb3xg2Jv3RVFV0ZN86gLV8ZTVk30Nrh2MiHh6f25LHTurqjKe5ExtUTVhvtcH7zYx4cDjaPYFKZtAuW5wNLDO7slU8MfjCK4vWsYvAK5hgcOzsqjJ9PcmQQqQfCVddW1OtoZQ93K3/Q5Yn9wYGoPTSz8gfNWnlxICrv/fBfw1RE//6NqLn+0d3HmwBgvfJnptXvzCfQk3t8Y1EaY551HSbyuQ5FUYYKIZoCXYDfhRAvKIqS8Ihj5XedAvNIown52KcpimKynCfDMjWwPdAHCADaPaF2LOdRh0wT8cs/wW3SFwiNluSIQNJvXqbMy0N4cOkM937fzf1jByjRsCmVF65FycwkYfXnZKaquw7Qo7TFLv2EipO/AI2W5PBAHt68TNm+Zm13D+/m3lGztiqL1kJmJvGrzNocG7xI+QEfmIfbCkFi4I88vH7p8ed8AkwmEx9Nnc43K39Aq9Wwed16Ll24wHujPuDU8RNEhoaxae1a5i5ayI6ocJLuJDE24H0Afl65itkLPmFzyE6EEGxZv4HzZ8+qoiuLyMg9tPH2Iix8O/fvpzF+3NTstMDA/2PvvuOjKPoHjn/mQiiR0EMuSEkEBKlBQKoklAQIBGmKDeFRUaQKUkUBKSpKUURFBEHQ55EOSQgtFRARkN5LSCjJJaEltEBy2d8fd4RL7ugbE39+368XL3K7s7vf292ZnZudnbU0PgGMGPE+gZ0CKFKkMJu3bGDJkhV8M3M2tWvX5LvvZ1CsWDFatvJh0OB+BLS3f3vLo9i0aRvPt2jE2rW/cCPtJh9/NCVr3rLlP9K9m+XNSEM/eJeAgNYULlyIsPAlrFi+hu+++5nft+ygadOGrA6aj9mcybRps0lJefyxW8xmM5+P/YTvFy7A4GRg9ZJlnDx+nPeGvM+h/fuJDgunZp3aTP/he4oVL06L1q14b8hguvm3JzUlhTkzZ/Fr0CoA5sz8RtdxssxmM1PHTeDrhfMwGJwIWbqMU8dP0GfIII7sP8DmsAieqVObKbO/xbV4MZq3bkmf9wfxatsOeFWpzKAxo25nA3798SdOHtVvAGXNnMnvn82i/fefYTAYOLpqPZdOxlG/Xy/OHzyWrYEpp5ovv0CxiuV49p3Xedb6mEHoe6NI02Hw9UyzmXkTv2DMvFkYDE5ELl/N2RMx9BjYl5MHDrEzchM9hw+msEsRPvjKcg6eTzAxpd9Qylf24o2RQ9A0DaUUwT8t4vSxx//hZRvbL5OnMuzHmRgMBjavDCb+xCm6DHiHUwcPsydyMz2GDaSQiwv9Z3wKwIV4E18PGI6WmcniL2cy4qdZoBRxB48QtWyVbrENnf4b2w+c4tKVa7R4+3MGvtyGDLOl6vRK20b41K9G9K6j+PWbRpFCznw6wPLDtYSrC/1ebEn3Ed8C0P/FVpS4x4Dfj0Izmzk29Svqfj0VZTCQEBLK9VOxePV5k9QjR7iweSvlX+pGmeeboZnNpKdesTzmBpRt05Li9epSoHgxjB3aAXBk4udcPa7Pcc2v5Uem2czqT7/i7dlTMTgZ2LEylMSTsfj3f5OzB49wKGorTV/pSpXG9cnMyOBG6lUWj/kMgKavdKFMhSdp07cXbfpa3gT647vDuKbTyxHMZjMTxo5l7sKFODk5sXzJEk4cP86goUM4sG8/EWFhLFu8hC9nTGdDdBQply8zZMBAAFJTU1kwdy7LgoPQNI1NkZFER+j3ozrTbOb7CZ8xcd73GJwMbFy2itMnTvL6oH4cP3CQPyOieWvkEAq7uDB65pcAJMebmPDeYK6mpPLbd3OYsdxyf/B/3/7AVR2uUbfdrn98b61/rLLWP/pZz7WosHBWLlnMp9OnExJlrX8MtNQ/SpUpzeyffyZTyyTJlMiHQ4fqFtdtkRGRtGzpS/SmSG7cSGP4sBFZ80JDQwgI6AjAxx+NZeq0LyhcuDBRUdFERUYBMHLUCJ56yovMTI1z584x5sPHf/MbWK5Vaz/9hte+n4JycmLPqrUkn4zFt19v4g8d41jUVhq+0hmvRpa8kJZ6hdXW+knalatsW7iUt//7PaBxYvOfHN+s08tpMs1cXTGN4u98hVIG0raHYE48hUvbPmScPcytg1sAy6NvN/dkb3QtVLc1zk95Y3ApRuGGAQCk/jYJc7xODayZZpJ//ILy46x18PAgbp2JofQr75J24jDXdmzi+u4/eMK7EZVmWuvgP39N5pUUXH3aU6RGPQyuxSnWynLME2d+ws1Yfeof+T2PThn7Cd8unI/ByYmgJUuJOX6cvkMGc2j/ATaFhVOjTm2m/fA9xYoXo0XrVvQdMpgXrdeDuTO/5Zcgy2D3P86cpfu4q+LfTT3O2w+UUrFYxhcaAFzVNO32+D1DsTx+9ZZS6mlgI5aeSq8ADTRNG2C7vKZp55VSvW3nOdhWFHDE2jjTHPhe07TaSqmZQLKmaROVUr7ADE3T6j3A+r4BdmmaNt/6eS8wQNO0zUqp8UBxTdOG3GXZYGC6pmmRDr5HA2Cqpmm+tjEopSpbH7NDKbUD6KNp2h4H6+4NfIrlMcEbwJ/Am1h6HK3G8vhbknX8KVdN0+KUUlc1TStqXb4olscEk6w9sGI0TSutlAoClmqatsi6jRc0TeuilFoAhFgf68N2XfehnXxJn4GM9VR5yQ6Od89/cQFUXbaD2pWeun/CPLA/LoaqVermdRh2jp/YC0Ctmi3zOBJ7Bw5afmh4e1bO40js7Yk9SWMvfbrQ623bqWPMqet3/4R54J29G3mxev28DsPO0iOWwVN712iUx5HYW3DI+gPo4PJ7J8wLNS0NU5GN9Xtjol5abovOl2UHWMqPEbXz3z4D+GJ/NNUqeeZ1GHaOxsUC0OHp/HcdXXPMch2t45n/6h/7YmPwzKf1oti4GCbUud892bwxdl8EyR/YD1yd19ymWW72HOuS/+rhT6/cAeTvPPqsZ5U8jsTertgToGeHg3zmozot81MHlSyT9kX+4/Z5br2p7Tvge6XUfiAD6K1p2k2lHnv/pCmldgPOWBpaAMYDPyml9mFpeOn1gOv6DfhRKTUIS4+eXsBspZQLEAP85x7LLrCmvYHlsbIH8aVSqiqWjBkO7L1H2u1YHmcrD/yiadpOAKXUR8AGZXl3dzqWsatyPjvhCqy2jmGlgNu3iwYC85VSw4Hk+3w/IYQQQgghhBDi/yWzvFhDN4/VqKRpmqf1z/E5pqfhoNFC07QFWBpkci5vN+8uftE07f0c67wIdL7fthzM/x3L4OK2Gt9n+7eXXc6dMYzAZgwlawOQb84YNE17mGd8zmqa5ug7LQYWO5he1ObvBCwDfedME4eDx+A0Tet9t3UJIYQQQgghhBBC3I2eA3ULIYQQQgghhBBCiH+J3Hr87ZEppb4FmuWY/LWmab6PuL4xwIs5Ji/VNG3yY8Qy/1FiybHutsCUHJNPaZrWhfv32BJCCCGEEEIIIYTIU/muUUnTtP46r28ycN8GpL8jlhzrXg+sz631CyGEEEIIIYQQQuQmefxNCCGEEEIIIYQQQjy0fNdTSQghhBBCCCGEECK3mJG3v+lFeioJIYQQQgghhBBCiIcmjUpCCCGEEEIIIYQQ4qHJ429CCCGEEEIIIYT415DH3/QjPZWEEEIIIYQQQgghxEOTnkpCCCGEEEIIIYT418jUpKeSXqSnkhBCCCGEEEIIIYR4aNKoJIQQQgghhBBCCCEemjQqCSGEEEIIIYQQQoiHpjR5llA8GjlxhBBCCCGEEOL/L5XXAeSWIbWez5e/Z2cc2PyP2+cyULd4ZIvr+eV1CHZ67N6YL+MCS2xPVaqU12E4FBMXh2clr7wOw05s3CkAqlSuk8eR2Dtxch8AnvnwmMbGxdH0qWp5HYZDW2OO8pRX/owt5tRRYl9rkNdh2PH8dScAR154Lo8jsVd99XYAIhv75HEk9lpui7b8cXB53gbiSM1ueFbyzOsoHIqNi6Vb9WfzOgyHlh/ZhadnlbwOw05s7AkAGns9nceR2Nt26hgA1fPh+XYkLjZf14terF4/r8NwaOmRv9jS7Pm8DsNO8983A/n7WlUjH9Z1D1nrupXzYV44GReX1yGIfwhpVBJCCCGEEEIIIcS/hlkevNGNjKkkhBBCCCGEEEIIIR6aNCoJIYQQQgghhBBCiIcmj78JIYQQQgghhBDiX0Mef9OP9FQSQgghhBBCCCGEEA9NGpWEEEIIIYQQQgghxEOTx9+EEEIIIYQQQgjxr2HW5PE3vUhPJSGEEEIIIYQQQgjx0KRRSQghhBBCCCGEEEI8NGlUEkIIIYQQQgghhBAPTRqVhBBCCCGEEEIIIcRDk0YlIYQQQgghhBBCCPHQ5O1vQgghhBBCCCGE+NcwI29/04v0VBK5yti0Ae1X/kTA6gVU/0+Pu6Yr37o5PXZvpGSNpwFw8XCn2x8h+P82G//fZlN/zOB8ExtA8apetP75a9ot+5G2S+ZgKOisW1wtfHwIi4ggIjqavu+9Zze/YMGCzJw1i4joaFasWsWT5csD0Lx5c1aHhLB2/XpWh4TQpGlT3WKyNW78OKKiI1m7bi01a9V0mKZWrVqsW7+WqOhIxo0flzU9ICCADRvXE3PqJLVr19Y9to/HjiQ8IoSQNcuoWfMZh2mGfjCQzVs2sHfftmzTCxZ05uuZXxAeEcKy5b/y5JPldIvLx8eH8IgIoqKjee8ux3TWrFlERUezatUqyluPaYkSJfjfb79x8NAhPpkwQbd4bDVq8Tz/C1vHkogN9Ozbx26+d8MGzA9awaZjB2nZvm3WdGO5cswPWsGCkFX8si6Ezq++nCvxjR03hojIDYSuDaJmzRoO09SqVZO1a4OIiNzA2HFjsqbP/GYGIWtWEbJmFZs2hxOyZpUuMRWp04Qnv1zOk9NWUjywl8M0Lo3aUO6LJZSbspgy/SdlTa+06E/Kffor5T79lbJDp+sSj60n6jXG67ulPDV7OaW6veEwjWuzNnjN+g2vb37DY+jErOnlx31N1V/DKf+R/nEBlGr8HI0WL6LR0l+p2PNVu/nGDu1otnY1DRbOpcHCuXh06gBA0apVePbH73juvwto+MtPlG3TUte4Rs9aTpPek+k4+CuH8zVNY9LcYPz6TSVwyEwOnjyXNW9l5C78+0/Dv/80Vkbu0jUuW5ZyN+oByt11REVHOSh3NxBzKkbXcte7eVNmrl3BrPWr6dKnt938wN6v8VXIMqavXsy4+bNxK+cBgGf1p/n0twV8FbyU6asX07S9v24x2Ro37mOiosJZuzaEmjXvts9qsm7dGqKiwhk37mO7+W+//RaxsScoWbKkbnE1bvE8i8PXsTRyIz37vmM33/u5BvwcvJItxw9lL3OfLMfPwStZuGY1/12/hi65UOY29/FhbUQ466Oj6OPgWuVcsCDTZ81ifXQUi23qHwBPV6/ObytXELxxA0Hr11GwUCFdY8vPdSPv5k34eu1yvlm/is4O8kLH3q8xI2QpU1f/xtj531OmnBGAMuWMTFn+K1+u/C/Tg5fg16ObrnGVaPQcz/7vV+ov/h/lX3/Nbn7ZgPY0CgnGe8FPeC/4CffAjtnmO7m40HDlcp4a+r6ucUH+vlY192nBmohw1kVH8vZ7fe3mOxcsyLRZ37AuOpLfVq2kXPknAejY+QVWhK7J+nfg1Emq13BcF31ULXx82GjNB+/eJx8st8kHzaz5IDSXfyOIfy/pqSRyjTIYqD9qIFHvjeRG4nn8fp1FfPQfpMaczpaugEsRqr7ahQv7Dmebfu1sPBteti/M8zo25WSg8aRR/PnxFC4fi6FgcVe0DLMucRkMBj6ZOJE3XnsNk8nEqqAgwsLCOHH8eFaal3r0IDUlhVY+PnQMDGTkqFEMGjCAi5cu0efNN0lKSuLpp59mwaJFNG3USJe4bvNt6YuXlye+Pi2pV8+byZMm0blzF7t0kyZPYvSo0ezevYcFP8/H19eHqKhojh47St933+PTTyfrGheAj29zPD0r0bpVR7y96/DJhI/o3s2+EhURHs2ihf8jLDwk2/QXX+xKSkoqrVt1pEPHdowY+T6DB4147LgMBgMTJk7kdesxDQoKYqODY5qSkoKvjw+BgYGMGjWKAQMGcPPmTaZNnUq1atV4ulq1x47FUWzDPhnL4Df+Q5IpkXmrlrE5LILYEyez0pjiE5g0YjSvvv1mtmXPJyfzTvcepN9Kp4iLC7+sC2ZLWATnk5J0i8/XtwWenp60aumPt3ddJk4aT9cuL9mlmzhpPKNHf8yePXv5af6P+Pi0IDp6E4MGDslK8+GYkVxJvfr4QSkDpXqPJPGz/mRcTKTcxIVc37WJ9HOnspIUcK9A8U7/wTT+LTKvX8FQ7M4PUu3WTeI/tD8vdWEw4P7uCM6MG0D6hSQ8p/7M1e2buXXmTmzOHhUo3b0XcSP7kHntCk7F78R2ceUvGAoVokTbrrkS29PD3mfPoA+4mZRMg/k/cH7z71yPjcuWLCksguPTvs42zZyWxuEJk7lx5hwFy5SmwYIfubhtBxlXdTieQNeWz/J6+8aMnLnU4fxNu44Rm3CBDd9+wN5jZxg/ZzVLp/Tj8pXrzFoSzvIv+qOUouvwWbRq+AzFixbRJa7bLOWuF74+vtSrV4/JkybTuXNnu3R3yt3dLPh5Ab6+vkRFRVnL3b58+umnusVkMBjoM3YkE97sx4XERKYs/YUdEdGcPXnnXDt1+Cgjur/OrbQ02r7cnZ7DBjN96ChupqXxzciPSYg7Q8myZfhy2a/s2bKV61f0OZ4Avr4+lmuVb2vLtWryJ3Tu3N0u3aRJExg9eozlWrVgHr6+LYiK2gSAh4cHLVo05+zZc3bLPSqDwcCwCeMY1PM/JJlMzF+9nM1h4dnK3MRzCUwcPopX+7yVbdnzScm83e2lrDL3v+tD2KxjmWswGBg7cQJvvvY6iSYTS4OCiAjbyMnjJ7LSdO/xEqkpKbT18SUgMJAPRo1i6IABODk58eVXMxgxZChHDx+mRIkSZKSn6xLX7djya93IYDDw1thRTHyzHxcTE/ls6SJ2OsgLI7v35FZaGv7WvDBj6GguJ59nzMu9yUhPp7BLEaYFL2FnZDSXks7rERiVPxjKgfeHcCspGe+5P3Jhy+/ciI3Nliw5IpyY6Y4b1Cv1eZuUPXsfPxYHseXXa5XBYOCjiRN4+7WeJJpMLA5aTWRYWLZ80M2aD9r5tKR9YEc+GDWKDwYMJGTVakJWrQagarVqfPPjDxw5dPhum3qk2MZPnEgvaz5YGRREeI588KK1PpkzH1zKkQ/mL1pEM51/I4h/t8fqqaSUGqSUOqyU+lWvgO6xrd5KqXI2n2OVUmUcpOuklBqV2/H8XZRSnkop+1u6ube9rXqtq1Stalw5E8+1cyYyMzI4vT6KJ33tW8Zr9+vNkfmLMd+6pdemczU2Y5MGXD4ew+VjMQDcSrmClpmpS1x1vb2Ji43lzJkzpKenExIcjJ+fX7Y0bfz8WL58OQBrQ0Np2qwZAIcOHiTJWrk8duwYhQsXpmDBgrrEdZu/nx8rlq8AYPfuPbgWK4ZbWbdsadzKuuFatCi7d+8BYMXyFfj7W+5EnzxxkpiYGF1juq1Nm5asXBkMwJ49+yhWzBU3N7sigj179pGcbF9ha9PGl5UrggBYt3YjTZroc7H1znFMg4OD8c9xTP1tjmmozTG9ceMGO3fu5ObNm7rEklONunU4GxdH/JmzZKSnExayhuf9WmdLYzp3jpNHjpKZ4xzPSE8n/ZblR4NzwYIog/4dX9v4tWblCkvvoj179lKsWDHc3HKcb25uFC1alD3Wiu/KFavw829tt66AgPYEB4fYTX9YhSrXJCPxDBnJ58CcwbVtG3Cp75MtjWurLlzZuITM61cAyEy99NjbfRCFq9bkluks6YnxkJFB6uYNFH2uRbY0Jfw7cyl0GZnXLLGZU+7Edn3fDjJvXM+V2IrVeIYbZ8+RFp+AlpFB4sYIyrRo/kDL3jhzlhtnLD/sb52/QPqlSziXLK5bbA1relHc1eWu88O3H6Kzbz2UUnhXq0jqtTSSLqayZc9xmtWpQglXF4oXLUKzOlXYvPuYbnHd5u/nb1Pu7sa1mOtdyl1Xdu/eDeR+uVulTi1Mp8+SePYcGekZbAldT8PWvtnSHPhzJ7fS0gA4tnc/pY1lAUiIPU1C3BkALiWdJ+XiJYqX0q8nEIC/fxtWrFgJWK9Vro7LDldXm2vVipX4+98pmz/+eAyffTYFdHw84k6Ze4aM9HQ2Bq+hhV+bbGkSzp3jxJGjdvUKuzJX6Vvm1vH25nRsHGet16rQ4GBa+2XvRdbaz59V1mvV+tBQmjSz1JuatXieo0eOcPSw5Qf05cuX7a4ZjyM/142q1KmJ6fQZkqx54ffQDTTIkRcO5sgLpax5ISM9I6vxrUDBghh0PKauzzxD2tlz3LSWucnh4ZR+/sHKXIAnqj2Nc6lSXN6xQ7eYbsvP16ra3nWz5YO1wcG0ynGutfLzy8oHG0LX0riZ/e+HDp0CWatDncOWo3zQxkE+WGGTD5r8jb8R/okyNS1f/vsnetzSqx/gp2la1m1XpVRu9X7qDdz3eRRN04I0Tfs8l2JwSCnllIur9wT+tkYlTdN06w9ZpGwZbiQmZ32+nnik+ja+AAAgAElEQVSeIjl+5JesXoUiRjcStmy3W/6JJ434/+97Ws6dRpl6tfQK67Fjc634JGjQ4tvP8P/vd1TvZd9z4lEZjUYSEhKyPickJOBuNGZL4240khAfD4DZbObKlSt2XfPbBwRw8MABbuncUOdudCc+/k58JlMCRvfs8RndjSSYbL+DCXeju65xOIzNvSwJ8Sab2BJxt1bcHmh5ozsJCYmAZb9evXKVkiVLPH5cRiPxD3BM4+9zTHODm9GdxIQ7+yw5IRE39wc/VmU9jCwMDWLV71H88sOPuvZSAjC6u5NgE58pwYQxx7lkNLpjsk1jMmHM8R0aPteAC+cvEJujV8yjcCpVlowLiVmfMy4m4VQy+3nmbKyIs0cljOPm4fHJfIrUaZI1TzkXxGPiQjw+mW/XGPW4nEu7kXHeJrYLSTiXzv5DumC5ihQsV5GKn/9IpS/m8US9xrrGcDeF3MqQZnN+3ExKppCDRl+3lj40/OUnan76CYVyNJwAuNaojnJ25sbZ+FyN11bixVSMZe40YhlLFyPxYiqJF7JPdy9dnMQLqbpv31Lu3vm+lnP8fuVuQq6Wu6Xc3Thvk+8umpIo7X738rZ1987s2vS73fQqtWtSwNkZ0+mzusbn7p7zWuW47LAtXxISTLhbyw4/vzYkJpo4fPiIrnG5Gd1JstlmksmE20Mcp7IeRn5ZG0TQ1mgW6VzmWq6BNueZg3OorNHdrv5RomRJPL2eQtM05i5cyPI1Ibz17ru6xQX5u25Uyr0sFxLulLsXTYmUdrcvu25r3f0Fdm+6c/+2tNGdqat/Y3ZkKKvmLtCnlxJQ0M2NmznK3IIOytwyPr7U+3kB1SdNpGBZax5WiqcGDODUrG91iSWn/HytcjcaMdmca6YEE2XtzjV3TNbyxTYf2GoX2JE1q4N0jy0hW2z2+cD4APmgXS79RhD/bo/cqKSUmg08BaxVSqUopRYppX4HFimlCiul5iul9iuldiulWlqX6a2UWqWU2mjtaTRAKTXUmmabUqrUXbbVHWgA/KqU2qOUut23fKBSapd1O9VttjHL+veLSqkDSqm9SqlN9/guvZVSq5VSUUqp40qpcTbzXldKbbdu94fbDUhKqatKqWlKqb1AE6XU50qpQ0qpfUqpqdY0nkqpCOu0cKVURev0BUqpmUqprUqpGOv3u5vPgeet2x9yt337CN9rqHXfHFBKvW8zXb/+5/ejFN4f9GXPtB/sZqWdv0hw+9fY8Mp77Jk2myafjqbAE3e/k/x3xqacnChTrybbxnxG+JtDeLJVM8o+V+/vi+0+qlatyohRoxgzenRehyL+n0tKMPFGQCdeaulPQNculCxTOq9DcqhTYEeCdL5jeE9OThRwr4Bp0jskzxpD6bfHYHApCsDZwYEkfPwGybM+olTPDyhQ9sm/Ly4s5VfBchU4PaYv8VM/xjhgDIYniv6tMdzN+c1b+aNLD3a8/iaXtu/kmbEfZptfsHQpaowbw5GJn8M/9E7ev1GLwAAq16zB6nkLs00v4VaGQV9MZNaH49Hy0fEsXLgw/fv3ZfpdHgnKS0kJJl5v34nuvn4EdOtCqXxS5hYo4ET9hg0ZNngwr3Xrjl+7tg57b+Sl/FA3ej6wPU/VrEGQTV64YEpk2AsvM7DtC/h27kjx0g5/CuWKi1t+Z0f3F9ndqzeXd+zg6Y8sZa5H1y5c/GMbt5KT77OG3JOfr1X3U8fbm7QbNzhxTP+eq4/rdj74SH4jCJ09cqOSpml9gXigJTADqAG00TTtFaC/JYlWG3gF+FkpVdi6aC2gK9AQmAxc1zStHvAH4HCkNk3TlgE7gdc0TfPWNO2GddZ5TdOeBb4HhjlYdCzQVtO0ukCn+3yl54BuQB3gRaVUA6XUM0APoJmmad6AGbjdK+sJ4E/rug8DXYCamqbVAW6PyvoN8LN12q/ATJvteQDNgY5YGo7uZhSw2fq9Z3Dvffug36s+8B+gEdAY6KOUum+riFLqHaXUTqXUzjlz5twvOTeSzlPE5m6Ni3sZbtg8duT8RBGKV/ak1dypdFyziNK1n+H5ryZQssbTZKancyvF0uX10uHjXD2bgGul8nbbeFSPE9v1pPMk79rPrcupmNNukrBlOyWrV9ElLpPJhIeHR9ZnDw8PEk2mbGkSTSY8ylk67Tk5OeHq6sqlS5ZuwUajkdlz5jBs6FBOn84+PtSj6vlGT0JD1xAauoakpGTKlbsTn9HogSkxe3ymRBMeRtvvYCTRlEhueP31HgQFLyEoeAnJyefxKHfnjo3R6E6i6cHv4iaaEvHwsNyVdXJyoqhrUS5duvzYMSaaTJR7gGNa7i7HNDclmxJx97izz9w83ElOfPhjdT4piZhjx/Fu2OCxY+rZ89WswbWTkpPxsInP6GHElONcMpkSMdqmMRox2XwHJycn2rbzY01I6GPHBmC+mESB0nfu3hcoVRbzpSS7NDd2bQKzmYzkeNITTlPAWNEy75Klkp6RfI60w39R0LO6LnEBpF9IpkAZm9hKlyX9QnKONElc3W6JLT0pnlvnTlPQo4JuMdzNzeTzFC57pydLobJu3MzxGGpGaiqa9VGQ+KA1uFa/83IEJxcX6kyfQszsuaQePJTr8dpyL1UM0/mUrM+mC6m4lyqGe+ns0xMvpOBeupgu27SUu6GEhoaSlJSUVT7A7XP8fuWuR66VuwAXE5MpY5PvShnLciHRvryt0+Q5uvV9i8/6vZ9tjJ0iTzzBmNlf89+vvuX43v26xNSz5+uEhgYRGhrk4FrluOywLV88PIwkJiZSqVJFypevwNq1IWzZEoXRaCQkZLXDx6kfVrIpkbI22yxrNJL8CMfpfFISMUePUVeHMvc2yzXQ5jxzcA4lmRLt6h+XL13ClGBi55/buXzpEmlpaURHRlKjln49zPNj3ei2i4lJlPa4U+6WMrpzIdG+MaZ2k+fo2vctpvQb4nC8qUtJ5zl9/CTPNNDnJuWt5GQK5Shzb92jzDUFh1DUOnaja62aeHTrSoNlS/Dq34+y7dpRqa9+vc/y87Uq0WTCaHOuGT2MJNmda4kYreWLbT64rX1gR0KDgnMlNo9ssdnnA9N98sH3c+YwPBfywT+VGS1f/vsn0vOB7CCbxp7mwC8AmqYdAeKA27XDSE3TrmialgykALdz3X4sj3o9jBXW//+6y7K/AwuUUn2A+z2itlHTtAvW77DC+h1aA/WBHUqpPdbPT1nTm4Hl1r9TgDRgnlKqK3D7Qd8mwH+tfy+yrvO2VZqmZWqadgh4mD7q99q3D/q9mgMrNU27pmnaVev05++3YU3T5mia1kDTtAbvvGP/xpKcLh48imvFJ3minBFDgQJUbOvLuag/suanX73OqlbdCenQk5AOPbmw/zCb3x/LpUPHKFSyeNYYLU88aaRoxSe5djbhbpt6aI8Tm2nrTkpU8cKpcCGUkwG3+nVIjXn8x2oA9u3di6eXF+UrVMDZ2ZmOgYGEbdyYLU14WBjdulneENI+IIA/tlq6UbsWK8a8+fP5YsoU/tq5U5d4ABYtXERAQAcCAjqwYcMGunazDIxYr543V65cITkpe0UgOSmZK1evUq+eNwBdu3VlQ47voJdffllMp8CX6BT4Ehs3RNClSyAA3t51LLE5GDvpbsLDo+jS1dL23K69H9v+sH8k81HszXFMAwMD2Zhjf2y0OaYBAQFs3arb0Gb3dHjffsp7euJRvjwFnJ1p07EDW8IiHmhZN6N71tt9XIsVo06DZ4mLOXWfpe5v0aL/0rFDZzp26MzGDWF06WoZkNjbu671mOY435KTuXr1Kt7edQHo0rUzYRvDs+Y3a9aUkydj7H5QPqqbMYcoYKxAAbdy4FSAJxr7c/2v7B1hr++MovAz9QEwFC2Os0dFMpLOYXBxhQLOWdMLPV2X9HP6jXWTdvwQBT0q4Fy2HBQoQLHn/bm6fXO2NFe3ReFSyxKbk2txCj5ZkVuJuf8o2ZXDRyhSoTyFPYyoAgVw92vF+c3ZH4cqaHOHvszzzbhmfVxRFShA7SmTMIWuJzkyOtdjzalVw2dYFbUbTdPYc/Q0ri6FKVuqGM29q7Jl7wlSrt4g5eoNtuw9QXPvqrps01LuBlje3Jat3K13j3L3CvXqWX6QWsrdDbrE4siJ/QfxqFSBsk+Wo4BzAZoHtGVnRPZj4/VMNd79ZAyf93uf1It3fnAVcC7AiFnTiFq9hm3rw3Ou+pEtWvQLAQGdCAjoxIYNG+na1fISiaxrlYOy48oVm2tV1y5s2BDG0aPHaNCgEc2b+9K8uS8mk4mOHV94qOvJ3Rzet58KNmWuX2AHNoc92D5wM7pTyKbMrduwPqd1KHNv2793L5W8PHmyQnmcnZ0JCAwkIse1KiJsI52t16q2AQFss16rtkRHU7V6NQoXLoyTkxMNGzXipM3gwY8rP9aNbjux/1C2vNAswN8uL3g+U413PhnDlH5DsuWFUu5ls66jTxRzpXp9b+JP6VOfvHLkCEXKl6eQhweqQAHcWrfm4pYt2dI4l77T061082Zcj7Ns+9gnE9nZrTs7u7/EqW+/I2ndOuJm2/fcf1T5+Vp1YO++bPmgfWAgkRvDsqWJDAvLygf+Ae35c+ud3w9KKdp17JArjUqO8kG4g3zQ9S75YG4u5gMh9Bz/6NoDprMdcTbT5nPmI8Rze1mzo2U1TeurlGoEdAD+UkrV1zTtwl3WlbNZUAMUlp5GjvoIpmmaZrZuJ0Mp9RyWRqfuwACg1QPGjnU7ucXR9/pbaOZMdk2Zhc93n6EMBmJWryc1Jo5a7/Xi4qFjxEf/cddl3Z6tTa33epGZYYbMTP6a/DW3Uq/ki9jSr1zl6C/L8ftlFmga8Vu2OxwT6lGYzWbGjx3LzwsXYnByYumSJRw/fpz3hw5l/759hIeFsXjxYqbPmEFEdDQply8zaMAAAN7o1YtKnp4MHDSIgYMGAdCrZ08uXLjbKf/wIiMiadmyJdGborhx4wbDh915O1po6BoCAiyvAP/4o4+ZOu1LChcuTFRUNFGRUQC0bevP+E/GU6pUKX6a/xOHDx3ijTccv5L9YUVFbcbX93kiItZwIy2NkSPvvB46KHgJnQItY1+NGDmEToEBFClSmC1bNrJkyQpmzvyeJUtWMm3ap4RHhHD5cgrvD378N7+B5ZiOHTuWhQsX4uTkxBLrMR1iPaZhYWEssR7TqOhoLl++zEDrMQXYsmULRV1dcXZ2xt/fn549e2Z708fjxjZ9/ARm/DwXJ4MTIUuXc+r4Cd5+fxBH9h9gS3gEz9SpzWffz8K1eDGat27JW4MH8nq7jnhWqczAD0ehaRpKKf7340/EHNW3q3dkZDS+LX2IjNpI2o0bjBhx53GokDWr6NjB0uA09uNP+OLLzyhcuDDR0Zuy3t4E0DEwgOCgNfoFlWnm4oIvcR/5DRicuBodRPq5GEp0e5ebpw5zY9cmbuz7g8K1G1PuiyWQmcml/84k82oKharWofRbH0JmJhgMpAT9nO2tcXrEljjnSyqMn2lZf3gwt87EUObVd0g7cZir2zdzbfc2y6ucZ/2GZs4kacFMMq9YettU/HQOBctXwlC4CJXnBWOaNZlru7fpEppmNnNs6lfU/XoqymAgISSU66di8erzJqlHjnBh81bKv9SNMs83QzObSU+9YnnMDSjbpiXF69WlQPFiGDu0A+DIxM+5avM2nscxdPpvbD9wiktXrtHi7c8Z+HIbMsyWN3q+0rYRPvWrEb3rKH79plGkkDOfDrBU2Eu4utDvxZZ0H2EZd6T/i60ocY8Bvx/VnXI32lruDs+aFxoaSkBAAHC73J1qLXejbMrdtjnK3cO88YbjV3g/qEyzmbkTp/DxvG8xGAxELA/izIkYXh7YlxMHDrEzchNvDH+fwi4ufPDVFwCcTzDxeb8hNG3nT40G9XAtUZyW1hsBs0aPI/aIfuVHZGQULVv6Eh0dYdlnw0dmzQsNDSIgwHID4eOPxzF16hd3rlVRudtoaTabmTpuAl8vnIfB4ETI0mWcOn6CPkMsZe7mMEuZO2X2t1llbp/3B/Fq2w54VanMoDGj0DRQCn798SdO6ljmms1mJo4dyzxr/WP5kiWcOH6cgUOHcGDffiLDwli2eAlfzJjO+ugoUi5fZuiAgQCkpqayYO5clgYHoWkamyIjiY6I1DW2/Fo3yjSbmTfxC8bMm4XB4ETk8tWcPRFDj4F9OWnNCz2HD6awSxE++GoKYMkLU/oNpXxlL94YOSTrOhr80yJOH9OnXMNs5uSMGdSaPg2cDCSGrOH6qVgqvv0WV48c4eKW3yn3YndKNW8GGWbSr6RyfJJ+b4i8p3x8rTKbzUweO44fFy7E4GRg5ZKlnDh+nAFDh3DQmg+WL17MlBkzWBcdyeXLKQyz5gOABo2ewxSfwNkzZ3SJJ2dsn4wdywJrPljmIB8sWbyYadZ8cPnyZQbfIx/01vk3gvh3U4/zHLtSKhbLWEcDgKuapt0eS2golkfB3lJKPQ1sxNKb5hWggaZpA2yX1zTtvFKqt+08B9sKBqZrmhbpYNkGwFRN03xt16OUqqxp2klr+h1AH03T9jhYd2/gUyyP5t0A/gTexNLjaDWWx9+SrGM+uWqaFqeUuqppWlHr8kUBF2ua4kCMpmmllVJBwFJN0xZZt/GCpmldlFILgBDrY33YrstBbPWt39vnXvtW0zS710Pd43tlAguwPPqmrNN7apq2+16x5KAtrud3/1R/sx67N5If4wJLbE9VqpTXYTgUExeHZyWvvA7DTmyc5Qd3lcp18jgSeydO7gPAMx8e09i4OJo+VS2vw3Boa8xRnvLKn7HFnDpK7Gv6PU6iF89fLXcVj7zwXB5HYq/6akuDemRjfQcd10PLbdYGgoPL750wL9Tshmclz7yOwqHYuFi6VX82r8NwaPmRXXh66vO4uZ5iYy0NAY297tVxPG9sO2VpeKqeD8+3I3Gx+bpe9GL1+nkdhkNLj/zFlmb3fcDgb9f8d0tvo/x8raqRD+u6h6x13cr5MC+ctPRey83OD3mqd41G+fJZswWH/vzH7fPcelPbd8D3Sqn9QAbQW9O0m0o91v5ZAMxWSt3A8ljZg/hSKVUVS2YIB/beI+12LI+zlQd+0TRtJ4BS6iNgg7K8uzUdy5hGOfumugKrrWMbKWCodfpAYL5SajiQjGUco4e1DzBbBwRfwF327SN8rwXWeQBzNU3b/QixCSGEEEIIIYQQ4l/qsRqVNE3ztP45Psf0NBw0oGiatgBLw0jO5e3mOVh2OXfGMAKbMZSsDSW+OdejaVrX+3wFW2c1TevsYLuLgcUOphe1+TsBy4DYOdPE4eAxOE3Tet9tXQ7SpjtYx8M0Tt3te00HpjuY/s94tYIQQgghhBBCCPEvo5RqB3yNZdzouZqmfZ5j/lDgbSydUJKBN61tEyilzFjGswY4rWna/V5odl+51VNJCCGEEEIIIYQQIt/5p75pTSnlBHwL+AFnsbxULMj6ArDbdmMZEui6Uuo94Assb7UHuGF9s71u8l2jklLqW6BZjslfa5o2X4d1twWm5Jh8StO0Ltyjl9TfQSlVG8sb4mzd1DSt0QMsm2+/lxBCCCGEEEIIIXTxHHBC07QYAKXUb8ALQFaj0u1xqK22Aa/nZkD5rlFJ07T+ubju9cD63Fr/49A0bT/wSC2G+fl7CSGEEEIIIYQQQhdPAravGDwL3KsjylvAWpvPhZVSO7E8Gve5pmmrHjegfNeoJIQQQgghhBBCCJFbMrX8+fibUuod4B2bSXM0TZvziOt6HWgA2L6mt5KmaeeUUk8BEUqp/ZqmnXz0iKVRSQghhBBCCCGEECLPWRuQ7tWIdA6oYPO5vHVaNkqpNsAYwMf2bfGapp2z/h+jlIoC6gGP1ahkeJyFhRBCCCGEEEIIIcTfYgdQVSnlpZQqCLwMBNkmUErVA34AOmmalmQzvaRSqpD17zJYxrK2HeD7kUhPJSGEEEIIIYQQQvxr/FPf/qZpWoZSagCWMZWdgJ80TTuolJoA7NQ0LQj4EigKLFVKAZzWNK0T8Azwg1IqE0sHo89zvDXukUijkhBCCCGEEEIIIcQ/gKZpoUBojmljbf5uc5fltgK19Y5HHn8TQgghhBBCCCGEEA9NGpWEEEIIIYQQQgghxEOTRiUhhBBCCCGEEEII8dCkUUkIIYQQQgghhBBCPDSlaf/MUc9FnpMTRwghhBBCCCH+/1J5HUBuebF6/Xz5e3bpkb/+cftceioJIYQQQgghhBBCiIdWIK8DEP9cC7z98joEO733bMTbs3Jeh+HQntiTeFaqlNdhOBQbF4dnJa+8DsNObNwpADwrPZXHkdiLjYsBYHebJnkcib16YX/wnFfVvA7Doe2njtOmSs28DsOhsBMH83k+yL+x5cdyd0/sSQA8K3nmbSAOxMbFwsHleR2GYzW7EdbIN6+jcKjNn1HcWjs5r8OwU7D9GAC6VX82jyOxt/zILgD2t2ucx5HYq71uG0/l03pRTFwcc+rmv3ouwDt7N9L0qWp5HYadrTFHAWjgVSWPI7G389QJALR9S/I4EnuqzksAnHypYR5HYq/ykh15HYL4h5BGJSGEEEIIIYQQQvxrZMpoLrqRx9+EEEIIIYQQQgghxEOTRiUhhBBCCCGEEEII8dCkUUkIIYQQQgghhBBCPDRpVBJCCCGEEEIIIYQQD00alYQQQgghhBBCCCHEQ5O3vwkhhBBCCCGEEOJfw6zJ29/0Ij2VhBBCCCGEEEIIIcRDk0YlIYQQQgghhBBCCPHQ5PE3IYQQQgghhBBC/GtkyuNvupGeSkIIIYQQQgghhBDioUmjkhBCCCGEEEIIIYR4aPL4mxBCCCGEEEIIIf41zMjjb3qRnkoiVz3ZtAFdVv1E16AF1P5Pj7umq9S6Ob33bKR0jacBKFOrGp0Wz876V7FlM91ja+rTglXhGwmKiuA/771rN//Z5xryv5DV7DxxlDbt22WbF9itK0GR4QRFhhPYrauucfn4+BAeEUFUdDTvvfee3fyCBQsya9YsoqKjWbVqFeXLl8+a169fP6KiowmPiKBFixa6xnXbuPHjiIqOZO26tdSsVdNhmlq1arFu/VqioiMZN35c1vTRH44mPDyMtevW8sMPsylWzFXn2MYSFR3B2nWhDxBbBOPGj82aPvSDIaxdF0poaAgLF/1M2bJldYvLtWFjnpn/GzV+Xor7yz3t5pfyD6DWslCqzf6ZarN/pnT7QACK1n02a1q12T9TNzSK4k31Pa6NWzzP0vD1LI8M442+79jNr/dcQxYGr2Lr8cO0sskHVZ95hnnLl/Db+lB+XRtMmw4BusbVsEVz5m8I4efwtbz87tt282s3rM/3q5ey/shenm/nnzW9buPnmB20POtf6MFdNG3TStfYIL/ng/wZW34tc2+z7LeoB9hv64iKjsq23wICAtiwcQMxp2KoXbu2bjGNnrWcJr0n03HwVw7na5rGpLnB+PWbSuCQmRw8eS5r3srIXfj3n4Z//2msjNylW0y3lW78HE2WLKTpsl+p9MardvM9OrSjxbpVNFo0l0aL5lKuU4esed5ffYFPWAh1p32me1wAWw6fI3DyKgImrWRu2H67+fEXr/L2txvoOiWI/3yzHtPla1nz+s4Oo+mo/9F/TniuxObdvCkz165g1vrVdOnT225+YO/X+CpkGdNXL2bc/Nm4lfMAwLP603z62wK+Cl7K9NWLadre327Zx1W0fmOenruYp39aittL9teqEn4deOa3tVT5diFVvl1IyXadsuYZ3+xP1dm/UnX2rxRv0Ub32Fr4+BAWEUFEdDR971I3mjlrFhHR0axYtYonrXWj5s2bszokhLXr17M6JIQmTZvqHlv5pg14afVP9AheQN03717X9WrdnHf2bqSMta5bqLgrHed+yX/+CKLZ6AG6x9WoxfP8L2wdSyI20LNvH7v53g0bMD9oBZuOHaRl+7Z2812KPsGq36MZOv5j3WNr0qIFy8M3sDIynF597a8H9Z5ryC/Bq9l2/Aitc1wPZi74ici9u5gxd47ucQFs3n2cdoO+wn/ADOas3GQ3/1zyZXp/Mp9OH8yi57h5mC6kZM37ctF6Og6ZScD7XzPppzVoOo/ZU6RuEyp8tYyKM1dQ4oVeDtM80aQNFaYvpsK0xZQdNDHbPFXkCSp9H0KZN4frGpcQ0qgkco0yGGg0eiAb+3/Iqq5v49WuJcWfqmiXroBLEZ55tQvJ+w5nTbt0IpbgV/sR1KMvG/t/SJOPB6Oc9DtdDQYDoyeMp3/vN+nq15Z2nQJ5qkqVbGlM8fGMHTaCtauDs00vVrw47w4eyOudu/LaC114d/BAXIsV0y2uCRMn0rtXL/zatKFTp05UqVo1W5qXevQgJSUFXx8f5s2bx6hRowCoUrUqgYGB+Pv50atXLyZOmoTBoG8W923pi5eXJ74+Lflw9GgmT5rkMN2kyZMYPWo0vj4tLel9fQDYsnkL/v5tad+uPadOnaJfv365EFsrPhz9IZMnTXSYbtLkidbYWmWLbc4PP9K+XQABAR2JCI9g8OBB+gRmMFBh4Aec/HAoh996hZIt/Shc0dMu2eWocI727cXRvr24sNZyzl3duytr2onhA8lMu0nqX3/qExeW823EhPEM7v02Pfzb07ZTR7xy5oNz8UwYPpINQdnzwc20G4z/YDgvtw1gcK+3GDp2DEVd9WmAMBgMDBw/hg/f6stb7TrRsmMAFatUzpYmKT6BL0aMISJ4Tbbpe7dtp2+nbvTt1I3hPd8k7UYaf23Zqktct/0z8kH+ii2/lrm3WfabF74+vtbyY7LDdHf2mzW9ry8AR48dpe+7fdn+53Zd4+ra8lnmftz7rvM37TpGbMIFNnz7ARP7dmb8nNUAXL5ynVlLwlny+XssndKPWUvCSbl6Q7/ADAaqDR/MnvdH8sfLvTD6t+IJr0p2yRLDIvmz5xY4ZQAAACAASURBVNv82fNt4oPu5NW4X37j4HjH+/hxmTMzmbzsT757tzWrR3Vi7a5YTpouZ0szdfVfBDaszIqRnejbtg5fh+zOmte7VU0+fb15rsRmMBjoM3Ykk/sM5P2O3WjeoR3lK3tlS3Pq8FFGdH+doS/0YNv6MHoOGwzAzbQ0vhn5Me8HvsjEPv15c/QHuLgW1TM4yvUfxqmPhnD8nVco7utPIQfXqpRNYZzo/wYn+r/BpXVBALg+15TCVapxvN8bnBj8FmW6v4rBxUXH0Ax8MnEi/+nVi7Zt2hB4l7pRakoKrXx8+GnePEZa60YXL12iz5tv0r5tW4YPHcq0GTN0iwssdd3mHw5kbb8PWdrlbaq0a0kJB3VdZ5ci1HqtC4k2dV3zrXR2fLuAbdP1bxwxGAwM+2QsH/znbV5t24E2gR3xzHEdNcUnMGnEaDYGhThcxztD3mfPjh25EtvICeMZ1PstXvRvd9e6x/jhI1ifo+4BsGjOj4wdOkz3uADM5kwmzAvmxzFvEDJjIGt+38eJM0nZ0nyxcB0v+HgTNG0A/bu3ZPqvGwHYdfQ0u46eZvXUAQRPG8j+E+fYfihWv+CUAbe3RpDw6WBOD3mJos38cX4ye/nhbKxAyc69Offx25z5oAcXFkzPNr9Uj77cOLwbIfT2r21UUkpdzesYbOW3ePRQplY1rpyJ5+o5E5kZGZxaH0VFX/s7RM/2782BBYsx37qVNc2cdhPNnAmAU8GC6N07sZZ3Xc7ExXHuzBky0tNZHxyCr3/2O2vxZ89x/MhRNC0z2/SmPi3YtuV3UlNSuJKayrYtv9PM+oPscXl7exMXG8uZM2dIT08nODgYfz+/bGn8/fxYvnw5AKGhoTRt1ixrenBwMLdu3eLsmTPExcbi7e2tS1y2216xfAUAu3fvwbVYMdzKumVL41bWDdeiRdm9ew8AK5avwN/fckd18+bNmM1m6/K7MXoYdYytDSuWr3zI2Fbi72/Zv1ev3smCLi4uut1dcqlWg5vxZ7mVEI+WkcGlqDCKN3v43kYlWrQkdccfaDdv6hIXQM26dTgbF0e8NR9sCF5DC7/W2dIknDvHiSNHyczMvj9On4rlTGwcAOeTkrh04QIlS5fSJa5qdWsTH3eGhDNnyUhPJ2pNKM3atMyWJvFcPKeOHrOLy1aLdv7siN7MzbQ0XeK6LX/ng/wZW34tc2/z9/O32W+7cS3mepf95sru3ZYKue1+O3niJDExMbrGBNCwphfFXe/+4zx8+yE6+9ZDKYV3tYqkXksj6WIqW/Ycp1mdKpRwdaF40SI0q1OFzbuP6RZX8RrVuXH2HDfiE9AyMkjcGIFbiwfvUXxp5y7M13Vs5LKxP+4CFcu4UqGMK84FnGhfz5PI/WeypYlJvEyjqpZz+7mqxmzzGz/twROFnHMltip1amE6fZbEs+fISM9gS+h6Grb2zZbmwJ87uWUts47t3U9po6XXbELsaRLiLHFeSjpPysVLFC9VUrfYXKrV4FbCWdJNlmtVSvRGijV5sGtVoYpeXD+wGzLNaDfTSDt1Atf6TXSLrW6OulFIcDB+OepGbWzqRmtt6kaHDh4kKcnSKHDs2DEKFy5MwYIFdYvNrVY1Us7Ec8Va1z25LgpPB3XdBv17s2f+Ysw379R1M26kkbj7YLZpeqmRdX23XEfDQtbwfI7ru+ncOU4eOUpmZqbd8tVq1aRUmdJs3/y77rHVrJv9erAheA0+ftmvB3fqHvax7dj6B9evXrObrod9J85S0ViaCu6lKOhcgIBmtQnfeThbmpNnk2hc6ykAGtXyInznEQAUcPNWBukZZm5lZJBhNlOm+BO6xVaoSk3STWfISDoH5gyubt3IEw2zXwtdW3cmZf1SMq9dAcCceilrXkGv6jgVL8WNvfrdnBTitn9to5LIfS5ly3DNlJz1+VrieVzKlsmWplT1Kri4u3F2s/3d3TK1qvPC8h95Ydkc/pj0dVYjkx7Kurtjik/I+pyYYKKsu3uuL3s/7kYj8Ql31p2QkIC70WifJj4eALPZzJUrVyhZsqT9siaT3bKPH5878Tbf3WRKwOiefRtGdyMJJtvvYMLdaL9/XnzpJaKionWMzZgjNtNdYjPliO1OmmHDP2DrH1t4oXMnpk/X525mwTJu3Eq6c5frVnISzqXd7NKVeN6X6nMW4Tl2Ms5u9o/elfRtw6WIjbrEdJub0UiizTmTZDLh5uBY3U+NunUo4FyQs3GndYmrjLs7STZxJZsSKf0Iecy3Y3siQkJ1iclW/s4H+TO2/Frm3mbZb/FZn+9efuQsn/WN42ElXkzFWKZ41mdj6WIkXkwl8UL26e6li5N4IVW37RYq60Za4p3re1pSMoXc7Mu1si1b0OiXedT+7BMKlbWfnxuSUq5jLHnnh5x7CRcSU65nS/N0uZKE7bOUV+H7TnPtZjqXr+nb+OxIKXc3zifcuQZdNCVR2v3uj1q37t6ZXZvsf9RXqV2TAs7OmE6f1S22AqXdSE++c61KP+/4WlWseUuqfP8LFcd8inMZS+xpMccpWr8JqlAhnIoVp2id+ji76Zc3jEYjCQ9QN0pwUDey1T4ggIMHDnDrln6NOE/krOsmnecJ9+x13dLVq1DU6MYZB3Xd3OJmdCfR5lxLTkjE7QHLTaUUAz8cyTefTcmV2Moa3e3qHmXzuCy9LfFiKh6lbcrUUsVJvHAlW5pqlYxs/PMQABu3H+LajZtcunKdetUq0qiWF8+/8wXP9/mC5nWrULm8fkMpFCjlRsaFxKzPGRcSKVAqex4tWK4izh4VKTdhLk9O+okida2Nu0pR5o33ubDoa93iEcLWv75RSVl8qZQ6oJTar5TqYZ1eVCkVrpTaZZ3+gnW6p1LqsFLqR6XUQaXUBqVUkXusv49SaodSaq9SarlSysU63Usp9Yd13ZNs0v+mlOpg83mBUqq7dbubrfHsUko1tc73VUpFKaWWKaWOKKV+VUop67yGSqmt1m1vV0q5KqWcrN93h1Jqn1LqXWtaD6XUJqXUHuu+eD439neOncNzw/qyc/oPDmefP3CE1d36EPLaAGq/9TJOBXPnzqH4+/Uf0B9zRgarVq7K61CymfrlNJo2ac7qVUH06vXG37bdlG1bOPh6V46805Mrf+2g0ojs4xcUKFWawl6VSd257W+L6UGVdnPjk+lfMnH4KN3HDngcpdzK4FWtKjtz4S6rXvJrPoD8HZv4Zzi/eStbOr/Mn6+/xcXtO6k5bnReh5Rl2AsN2HkykRe/DGbnyUTKFnfBoPJXlbhFYACVa9Zg9byF2aaXcCvDoC8mMuvD8X97mXtl22aO9urCifde5+ru7ZQfZhmX8Oqu7VzZsZXK03+kwqiJXD98AC3T/LfGdj9Vq1ZlxKhRjBn9N5+HStFkWF/+mOa4rpsfdX39Vf6I2kSyKfH+if+FRrzRjh2HTtFl+LfsOBiLe6liOBkUcQkXiDmbTNTsYUT/MJxtB06x83Ds3xucwQlnjwrEf/IuiV9/RNl3x2BwKUox/+5c3/075otJ91/H/7F33+FRFP8Dx997l4QUklDSaaH3pnTpnUD8SlFARVAR6UURVKSrICAIoiAiIDaqQIAESIAElC7SWygJEMilEFIgQHLZ3x93SS65IERWEn9+Xs/DQ25n9vZzW2bn5mZmhfgb5Olv0AOoB9QF3IDDiqLsAWKB7qqqJimK4gYcUBQlwLxOZaCvqqpvKYqyBugJ/PiQ9/9VVdVvAcyNR28CXwLzgUWqqq5UFGWYRf7VwEvAVkVR7IB2wBBMvSo7qKp6T1GUysAvQAPzOvWBmsAN4HfgOUVRDpnfq7eqqocVRXEBUs3bT1RVtaGiKEWA3xVF2WHeD9tVVf1EURQ9YNXfXlGUQcAggG+++YZHdR6+GxOHk1d2C7qTpxt3Y+KyXts6OVCsoi+dl84BwKFkCdp9MY2doycRfya7m37ilauk302lWKXyOZY/iRiDAS/z5JcAnt5exBge7+YZYzDQoEnjHOseOaBNV1JDdDQ+3tlxeXt7Y7DoWZOVx8eH6Oho9Ho9zs7OJCQkWK/r5WW17t/R77V+9O3TB4DjJ07gY7HfvLy8iTbk3Ea0IRpvL8vP4IXBomLSq1dP2rVry8t9X9Eott4Pic3rIbFl/7ppis16H23cuInlK75j3ry8J8fNjwdxsdhZTPpt5+5BWnxsjjzGpOweBPFBAZQaNCxHevFW7Uj8PQyM2lbSY6Oj8bQ4Zzy8vPJViXQqWpR5y75l0Zx5nDp2TLO44gwGPCzicvfyJP4xr89Mrfw68/uOnRjT0zWJqfBfB4UztkyFscw17be+ABw/cRwfH5+stIeXH7nL54L90uVZwoXouOxJYqPjk/As4YJnSRcOncoejmeIT6SRebiGFu7HxGLvmX1/t/dw535sznItzaJci9q0lcrDrSfj/Sd4uDoSnZA9NMZw+y6ero5Web54ozUAd++nEXz8Ki6O2g2JephbhljcLIaUlvDyIN5g/SWvTtNG9Bz8JhP7DSQ9LS1ruYOTExMWz+fnL74i/Lj1BORPIj0+NkcvWVu3PO5VydnH9Na2ALzezJ5cOnbVCmJXrQCgzPipPIjSpucqmHoOej9G3cg7j7oRmK7nxUuWMPadd7h6Vbu4wNwzybKu6+HGHUPOum6JSr74Z9Z13UrQaf40to+aRJxGddq8xEYb8LQ419y9PYl9zDK31jP1qdvwWXq82hcHRydsbW1JvXuXRbM+1yS2mGiDVd0jppA0YHmWcOGmxcTb0bcS8SzpbJXny/dMDye4k3qfHQfP4OLkwNqQP6hbpTRODkUAaFm/MscuXKNBdV9NYku/FYtNyeweXTYlPUm/FZsrTwz3w0+D0Uh67A0e3LyKrXdZ7KvUwb56PVw69kJn74hiY0PGvVRu/bxQk9j+rTJU7UbB/NcVrp9lCkZz4BdVVY2qqhqAMKAhpkacTxVFOQGEAKWAzCv5iqqqmd+g/gB8/+L9a5l7GJ0EXsHU+APwHKaGIYAfLPIHAW3MDT5dgD2qqqYCtsC35vdZC9SwWOeQqqrXVdNEFMfM8VQFbqqqehhAVdUkVVXTgY7Aa4qiHAMOAiUxNZIdBl5XFGUKUFtV1Zx9PU3vsURV1QaqqjYYNMj6KVG5xZ0+j0vZUhT18UJnY0P5Tq25FrY/Kz0t5S6r2vRinV8/1vn1I/bk2awGpaI+XlkTczt5e+DqW5aUG0/eQJLp9PETlPX1xad0aWxsbenk342w4Md70su+sD00bdEcZxcXnF1caNqiOfvCrJ8O8XccP34c3/LlKV2mDLa2tvj7+xMcnHPIU3BICD179gRMTxzat880CXFwcDD+/v7Y2dlRukwZfMuX55gGX/R/WPkDfn5d8fPryo4dO+hhfvJS/fr1SE5OJjYm5w0tNiaW5JQU6tc3zefUo2cPdpg/Q6tWLXl78NsMfPMt7mkwz40ptm74+XVjx45gevTsns/YurMjOAQAX1/frHwdOrbn0iVt5ke5e/4sRUqVwc7LG8XGhuKt25O4b2+OPDYlSmb97dq0BfeuRuRIL962g+ZD3wDOnDhJGYvroKN/V/aGPN51YGNry6zFXxH460Z2BW3TNK7zJ05RqlxZvEqXwsbWltZd/di3c3e+3qOtv5+mQ98K/3VQOGPLVBjLXNN+8zM9uS3Hfqv/F/stmfr16wOZ+23HE8fxJNo2rM7G0D9RVZVj56/i7GiPRwkXmterzG/HL5KYkkpiSiq/Hb9I83qVH/2Gjynp7HkcypTG3tsLxcYGzw5tid2Tc0J8O4s51txbNONOhLZf5h+mVtmSRMYlcz0+mbR0I0F/RtC6VpkceRJS7mXNx7Y05BTdG1fK6600d/HkabzLlcGjlA82tjY09+vEkV05h5iWr16Vt6dOYObQ0STdyp4PxcbWhnELPyd001YObNf+yXR3z5+liE8ZbD1N9yrXVh1IOvDwe5VLkxbcz7xX6XTonU2T59uXr4R9+Uok/6HdUK8TuepG3fz9CclVN9ppUTfq4ufHfnPdyNnFhe+WL2fWZ5/xx5EjmsWUKfb0eVzLlsK5lKmuW7FzayJz1XVXtu7FL379+MWvHzEnzv7jDUoAZ0+cpLSvL97mMrd9t678FrLrsdadOmYsPZq3oWfLdiyc8RlBGzZq1qAEcObECcr4lstR99jzmHWPf1rtSqWIvBnPdUMCD9LSCfz9JG0bVMuRJyHpTtZcT0s27KFnm2cA8HZz5fCZCNKNRtLSjRw+E0GFUtoN+71/6Qy23mWxcfcBvQ1Fm3XgzpGc98I7h8JwqGmKR+fsip13WdIMUcR8OZGrQ/25Ovx/xP8wn+Q9gf/5BiWhLemp9HCvAO7As6qqpimKEgHYm9MsZ8o1Ag8d/gasAF5QVfW4oigDgNYWaVb9ls09kUKBTkBvYJU5aQxgwNSjSgdY1vZzx/NXx1UBRqiqut0qQVFaAl2BFYqizFVVdaXV2vmgGjM4MHMhHRbNQNHpuLhpO7cvRVJvSH/iz1zI0cCUm0f9WtR+ozdquhE1I4MDMxZw/7Z280EYjUZmTprKopUr0Ol1bFqzjkvh4QwZM5ozJ08SFrKTmnVqM/ebRbi4utKyXVuGjBlFz45dSEpMZMmChfwUYBoWsmTBlyQlJj5ii48f16RJk1i5ciV6vZ41a9YQHh7OmHfe4eSJE4SEhLBm9WrmzptHaFgYt2/fZsRw0y+F4eHhbNm6leCQENLT05k0cWKeExw+id27dtOmTRvC9oSSmprKe2PHZaUFBm7Fz880cnPiRxOZ8/ls7O3tCQ0NI3R3KABTp03Fzs6OH380taP++eefTJjwkYaxtSZsz25SU+/lim0Lfn7dzLFNYs7ns6xiG//+OCpUKE9GhkpUVBQTPtQmLjKMXP/ycyrO/AJFpyN+2xbuRV7Bq/9b3L1wlqT9v+He/SVcmzY3/bKUnETkrOwndtl5emHr7knKCe2f1mE0Gpk9eSoLVi5Dp9Ozee06LodfZNCYUZw9eZK9IbuoXqc2sxZ/jYurCy3atWHQ6JH06eRH+65dqN+oIa7Fi9Otl+nL+NSx4wk/e/YRW320DKORL6d+wszlS9DpdWxbu4HI8Ev0HzWcC6dOs3/nbqrWrsWURfMp6uJC07at6T9qGAO7/A8Az1I+uHt5ceKg9k+tgX/DdVD4YiusZW6m7P0WZt5v2Y9bDgwMxM/PD8jcb3PM+y00a7916tSJKVOnUKJECZYtX8bZM2d57bUnH0L7ztxVHDp1hYTkO7QcOJMRfdqTbu6x2LdTY1o9W5Wwo+fpMPRzHIrY8ulw05fqYs6ODH2xDb3GfQXAsBfbUuwvJvzOL9Vo5Pyc+dRfMBtFp+PG5iDuXImgwqDXSTp7nri9+yjTuyfuLZqhGo2kJSVzetrMrPWf/WYBTuXKondwoPnmtZz5eBa3NLpebfQ6PuzZiMGLQzBmqHRvXIlK3sVYGHiMmmVL0qZWGQ5fNDB/y1EUBZ6t6MmEXtk94fov2MYVQyJ3H6TTbvI6pvVpynPVS2kSW4bRyNLpnzHxu6/Q6XTsWh/AtYuX6TNiMBdPneHI7j289t5o7B0defeLWQDE3Yxm5tAxNOvckRoN6uNczJU23f0BWPjBZCLOadQ4kWHkxtdzKP/JfNDpSNixhfuRV/Do9xap4edIPrCXkv97CZcmLVCNRozJSVz/3PSUVUVvQ4U5puFdGXfvcG3WFNBw+JvRaGTKpEl8v3IlOr2etea60Whz3WhnSAirzXWjXWFhJN6+zUhz3ei1/v0p5+vLiJEjGTHS9FTX/v36ER8fr0lsqjGD32cspMuiGeh0Os5v3E7CpUieHdqfuNMXcjQw5aVv4A/YFnVEb2tLuTbNCBz8PrcvP3kDrNFoZO6Uacz7fil6nZ4ta9dzJfwiA0eP5NzJU/y203R/n7FoIc6uLjRv14Y3R43g1c7dnnjbjxPb7MlT+XLlcvQ6PQFr13I5PJy3x4zi7MlT7AnZSY06tZm9eJG57tGWQaNH0btTFwC+XfMLvhUq4uDkyNZ9vzH9/Q84sGfvI7b6eGz0eia+2Y03P/mejIwMerZ5hsplPFmwaie1KvrQtmF1Dp6+wryfg0FRaFjdl0kDTfusU5OaHDh1meffXYiCQvN6la0apJ5IhpG4ZbPwnrAARacnaXcAadcvU/ylt7l/6Sx3/9hD6vH9ONZtTJm5q1EzMoj/cT4ZKdreL4XIi1KY5sB4mhRFSVFVtaiiKD2AtwE/oARwBGiMqUGnkqqqIxRFaQPsAjKf27hFVdVa5vcZCxRVVXXKQ7YTh6lXUQIQCESpqjrAPJRujaqqPyqKMgSYrapqUfM6XYGBmIa3VVRV9YGiKPOA66qqfq4oyuvAMlVVFUVRWgNjVVXtZl53ofkz/AycI3v4mzOm4W9vmD/ri+bGsipAFKahf9dVVTUqijLc/NlH/8UuVFfU6/AXyQVjwLFg6vlWfHTGAnAs4hK+5awfuVwYRERG4luu/KMzPmURkVcA8C2n3bANrUREmnoy/dleuyfcaKV+yH4aldeuV4KWDl0Jp32lmo/OWABCLp4u5NdB4Y2tMJa7xyIuAeBbzrdgA8lDRGQEnF5f0GHkrWZPQhq3Lugo8tT+YCgPgj4p6DCs2HWZAEDPas8UcCTW1p87CsDJzk0KOBJrtbcdoEIhrRddjoxkSd3CV88FGHQ8mGYVqhZ0GFb2XT4PQIPyT6fnX34cuXIRAPXEmgKOxJpS5yUALr3UsIAjsVZxzWEwdUj4f6lT5VqFsiFke/ipf90+l55KsAFoChzH1HNonKqq0Yqi/ARsNg83O4KpgebvmIhpmFms+f/MgbmjgJ8VRRkPbMq1zg5MQ+I2qaqa+YiKr4H1iqK8BmwD/vJZmuaGqN7Al+aJxFOB9sBSTMPjjpon9I4FXsDUg+o9RVHSgBTg6c1SLIQQQgghhBBCiH+d/2yjUmavINXUVes98z/L9DhMjU15qWWRb84jtrMIWJTH8iu53v8ji7Q0TL2mLPOHA3UsFo03Lw8FQi3yDbf4+zCQ109TH5r/Wfre/E8IIYQQQgghhBDikf6zjUpCCCGEEEIIIYT47zH+R6cB+idIo5JGFEX5CtMT3SzNV1V1eUHEI4QQQgghhBBCCPFPkkYljaiqOqygYxBCCCGEEEIIIYR4WnQFHYAQQgghhBBCCCGE+PeRRiUhhBBCCCGEEEIIkW/SqCSEEEIIIYQQQggh8k3mVBJCCCGEEEIIIcR/Rgby9DetSE8lIYQQQgghhBBCCJFv0qgkhBBCCCGEEEIIIfJNhr8JIYQQQgghhBDiPyNDleFvWpGeSkIIIYQQQgghhBAi36RRSQghhBBCCCGEEELkm6JKty/x98iJI4QQQgghhBD/fykFHcA/pWXF6oXy++yeS2f/dftceioJIYQQQgghhBBCiHyTibrF3xbxSoOCDsGK709HmF+3Q0GHkadRx4OpWK5cQYeRp0uRkXRsP6Ogw7CyI+QDAGrVbFPAkVg7dXo3AAHPtivgSKw9/8dOmlWoWtBh5Gnf5fM8X6VeQYeRp4ALx2hUvnJBh2Hl0JVwAGqWK1/AkVg7HXkFgHG1WxVwJNZmnQwDoGe1Zwo4Emvrzx0lpHHrgg4jT+0PhsLp9QUdRt5q9mR3k8J3rrU5YDrXJtcpfPeqqSdM96oV9Qpf3WjAsWB8C2m9KCIykvBeDQs6jDxVXneYD2q3LugwrMw4GQoU3jIX4Ey3RgUcibUaWw4BFMp7QvuDoQUdgviXkJ5KQgghhBBCCCGEECLfpFFJCCGEEEIIIYQQQuSbNCoJIYQQQgghhBBCiHyTOZWEEEIIIYQQQgjxn5GhFsqHv/0rSU8lIYQQQgghhBBCCJFv0qgkhBBCCCGEEEIIIfJNhr8JIYQQQgghhBDiPyMDGf6mFempJIQQQgghhBBCCCHyTRqVhBBCCCGEEEIIIUS+SaOSEEIIIYQQQgghhMg3aVQSQgghhBBCCCGEEPkmjUpCCCGEEEIIIYQQIt/k6W9CCCGEEEIIIYT4z8hQ5elvWpFGJfGPcqjTlBL9xoJOR0roRhI3f2+Vx7Fxe4r1HASqyoOr4cR99REA5X44SNq1iwCkxxmImfuOprGVa9aAVuOHouh0nN4QxJFlq/PMV6ldc7rOncwvfYcRc+YCAA3e6EPN7p1RMzII/exrru47ollcLVu1YuLkyej1elavWsU3ixblSLezs2PO3LnUql2bhIQERg4fTtT169SpW5dPZswAQFEUFnzxBTu2b9csrkxDh3WgYaOK3L+fxpxZW7h40WCV55MZvSlRwgm9Xsepk9dY+OUOMjKyC+6evRrx9uB29OrxBUlJqZrF9sEHI2jRsjH3Uu8xYcJnnD0bbpVn5Mg3ef75jri4OtOooV/W8nHjh9KoUX0A7O2LUKJEcZo19dckLvemDak9dhiKXkfkxkAurliVZz7vti1oOHsKYa8OIfHsBRQbPfUmjsW1WiUUvZ5rW4O5uPwXTWLK1LhlC0ZPmoBep2PzmrX8sPjbHOn1GjZg1MQPqVitKpNHvcPuoJznlGNRJ37eHsie4BDmTpmuWVzPtGjGwAnj0Ot17Fi7gfVLludI/9/rr9Lhxe5kpBtJTEhgwQdTiL1xE4ApS7+iSr06nP3jT6a/PVKzmDI1admCdyd/hE6nZ9PqNaxcvCRHev1GDRkzcQKVqlXlo5Fj2BW0DYDK1avz/sdTcSpaFGOGkeULFxGyNVDT2Jq3asn7kyej1+tYv2o1SxctzpFua2fHjLmfU7N2LW4n3Obd4cO5cT0KGxsbpn02k+q1aqK3sSFg/a8s/XrRQ7by91R5rhH/Gz8CRa/j0K9bCf3u5xzpTV58nqZ9u6Majdy/m8r6qXOIuRxJ5aYN6DJ6EHpbW4xpaWz9fBGXDv2paWz1mjfjjQlj0en07Fy3gQ3frsiRZozv9gAAIABJREFU7j/gFdr16k6G0UjirQS+njCV2Bs38a1WhUFTPsTRyYmMjAzWLf6OfUE7NI2tZJNGVHlnOIpOT1TAViJX5txv3l07U3nEYO7HxgFwbe0GbgRsNX2uL2bhWqsGt4+f5Pi7H2ga1wcL1xN65BwlXZ3YMn+0Vbqqqnzy3RbCjp7HvogdM4f3pGbFUgBs2H2URet2AzCkVxu6t3lG09hKNGlE5TEjQKfjZsBWrv6Qc595de1MxeFDuB8bC0DUug3cDNhK0cqVqDLuHWycHFEzMohc8QMxIbs1ja3Scw3pMt50PI/+upXfluUs0xu86E+jPi+QYczgwd1UNk/7nNjLkRTz8WT4xu+Ji7gGwPUTZ9jy8TxNYyvVrAGNxpnqReEbgji5PO96Ubl2zWnz+WQ2vzyM+DMXcKtVlWYTx2SlH1v8A1d3/65pbK1atWKSRd1oUR51o7nmutHthASGDx/O9evXARg6dCgv9e6N0Whk6pQp7NmzR9PYHOs1xf31d0GnI2nnJhI2Wtd1izZtT4mX3gLgQcQFoudPxMbNC+9xs1EUHdjYkBi0msQdv2oWV5XnGtFt/HB0ej2Hf91KWK4yt9GLz9O0b/a5tsFc5mZy9fJgzKbv2fn1CvZ+n/e58HcV5jLX6ZkmeA16F0WnI2HHJuLXrbTK49K8Pe4vD0RV4f6VcKLmTATAtW1X3Pq8DkDcquUk7tqqaWyF9X4ghDQqiX+OoqPEgPEYZgwj/ZYBn+kruXt0D2lRV7Ky2HiWwfX514me8iYZd5PRuRTPSlMf3OfGh6/8Q6HpaP3hCDa8PZ4UQxx9fl7I5dD93Lp8NUc+W0cH6r3SnZsnzmYtK1GhLFU6t+bHHm/h5FGS7t98xsrnX0fNyHjiuHQ6HVOmT6f/K68QHR3NhoAAdoaEcDE8u3Hkxd69SUxMpG2rVnTz92f8++8zcvhwLpw/zwv+/hiNRtw9PNgaFMTOkBCMRuMTx5WpYaOKlCpVnNf7L6ZadR9GjurMyBHWladPpm/g7t0HAEyc3J2WLasRGmrah+7uzjzboDwGQ6JmcQG0aNGYsuVK4dflVerUqc7ESWN4ue9Qq3yhofv4+ecNBAb9mGP5rM++zvr75Ze7U716ZW0C0+mo8/5I9g8dR6ohlpY/fE102H5SrkTmyKZ3dKBC3x7cOnkma5lP+1bobG0J7f0WevsitFm7jKhtu0i9ad2Q9/dC0zF26iRGvfY6MdEGvtu4jr0hu4i4eCkrT/SNm3w87gNeHvhGnu8xaMxojh0+rEk8lnG9PfkDJr0+mPhoA5+v/4lDO8O4dulyVp7LZ87xTo9XeHDvHl36vsiAcaOZPXo8AL9+9z1F7O3p3KeXpnFlxjZu2hSG9xtATHQ0329az96QXVy5eDErT3TUDaa9N55X33ozx7r376Uy5d33uBYRiZuHBys3b+DAnr2kJCdrFtuE6dN465V+GKKjWR2wid0hIVwKz46tZ++XSEpMpEurNnTx78Y777/P2OEj6NTVD1s7O7p36oK9vT0BIcEEBgRw43qUJrEpOh3dJ4zm20Hvkhgdy4hV33Bm9+85vsD8GRjCgbUBANRo3Qz/94bx3ZBx3ElIZMXwD0iKjcezUnkGLp7NJ+21O7Y6nY63Jo1n2htDiTcY+GztjxzeFcb1S9n3qitnzzOu16s8uHePTn160W/sKOa+8z73793jy/ETuRl5jeIebsxe9xPHftvH3eQUrYKj6nuj+HPEWO7FxNJoxWLi9v7OnVzlhyFkN+fnzLdaPfLHVejti1Cq+/PaxGOhR5tneLVLE8YvWJtn+p6jF4i4Gc+Or97l+IVrTFmyibWfDeV28l0WrtnJ+lnDUBSFHu8tpG3D6rgWddAmMJ2OKmNHc2zku9yPiaXB8m+I2/s7dyNy7rOYkF2Ef55znxnv3ePstE9IvRaFnVtJGqz4llsHDpOeos3xVHQ6un44ipWD3iPJEMugXxZzPnQfsRbXwcnAnRxZuxmAqq2b0em9ofw4xFS23bp+g8XmhgmtKTodjT8YwY7B47lriKPbTwu5GrafxFz1IhtHB6q/3J1Yi3pRwsUINr88FNWYgYNbCZ5fs5hre/ajGp+8XgSma3Ta9Om8aq4bBQQEEJyrbvSSuW7UulUr/P39ef/99xk+fDiVKlfG39+fjh064OHpyU8//USb1q3J0KDOZg4O94HjiJo2nPRbBsrO/J47R/bw4Hp2+WHrVYbiPQZw/aOBZNxJRm+u66bfjuP6h2+gpqeh2DtQbu4qUg7vwZgQ98RhKTodz08YxXeDxpIUHcuwVYs5m6vMPR4YwiFzmVu9dTO6vjeM5UPGZaV3fW8YF347+MSx5FbYy1zvIeOI/Gg4afExVJj3PckH9/LgWnZsdj5lKPlif66895bpeLqajqeuqAvuLw/k8uj+oKpUmL+S5IN7yLijzT2+MN8PhCg0cyopiqJRafDI7bRWFKXZ09iWxTanKYrS/iltK8fnUxRlsKIorz2NbedWpGJN0g3XSI+NAmM6dw7swPHZVjnyOLftTnLwGjLumgrcjKSEpxKbZ62qJF67QVJUNBnp6VzYFkqF1tanRdNhAziyfDXG+w+yllVo3YwL20IxpqWRFBVN4rUbeNaqqklcdevVIzIigmvXrpGWlsaWzZtp36FDjjztO3Tg1/XrAQgKDKTpc88BcO/evawGpCJFiqD+A106mzWrTHDwKQDOnb2BU9EilCjhZJUvs0FJr9dha6PHMpLBQ9qzdMluzeNr0/Y5AgJMv1adOHEWZ2cn3NxKWOU7ceIscXG3/vK9/PzaEhi4U5O4itesxp1rUdyNuomank7Ujt145XGuVRvyOuHfryLD4lxDVdE72KPodeiKFCEjLZ30O3c1iQugRt06XI+M5Ma166SnpRGyZSstOrTLkSc6KopL587nWQGvWqsmJdxKcmivtr9IV65Ti5uR1zBciyI9LZ29W7fTuH3rHHlOHjzCg3v3ADh/7ARunp5ZaSf2HyJVw/1kqWbWPrtGeloaOzZvpWWufXYzKoqL587n6J0HcPVKBNfMX2zjYmJIiI+neEnrc/Tvql2vLtciIrluLj8CN2+mTa7yo22HDmwylx87AoNo8pzpXFRVFUdHR/R6PUXs7UlLS+OOVpV0oEzt6sRdjeLW9ZsY09M5HrSLmm2a58hz3+KY2Tk4ZJUbN86FkxQbD4Dh4hVs7Yugt7XVLLZKdWoRffU6huum8+23wO00bNc6R55TFufbheMnKenlAcDNiKvcjDT1HEmIiSPxVgKuJYqjFdca1Ui9HkXqDVP5YQjehXvL5x57/YQjRzHe1a43qKWGNcvj6uz40PSdh87wQuv6KIpCvaplSbpzj5hbSfx2LJzn6lSimLMjrkUdeK5OJfb+eUGzuFxqVCf1ehT3LPaZW8vmj14RSL12ndRrpobUB3HxpCUkYFvcVbPYStWqxq2rN0iIMl0Hp7btolqbnMfT8jqwdbCHpzQ8w61WVZKv3SDFXC+6sj2Usnncq54ZNoBTK1ZjfJB9rzLeu5/VgKS3swONQ66Xq260efNmOuYq2zp26MB6c9kWGBhIM3PdqGOHDmzevJkHDx5w/do1IiMiqFevnmax2VeqSVr0NdJjoiA9neTfg3FqmLOu69L+BRK3rc1qXDBm1nXT01HT0wBQbOxA0e5rWZna1Yi/GkWCRZlb/S/ONTsHe1SLA1ejbXMSom5iuBihWUyZCnOZ61ClJg9uXifNcAPS00ncswPnJi1z5CnW6QUStq7LPp6JpuNZ9Jkm3PnzIBkpSWTcSebOnwcp+mxTzWIrzPeDf6sM1EL579+o0DQqPUWtgXw1KimK8kQ9ulRVnaSqasiTvEc+tMbi86mqulhVVet+m0+BvoQH6fHZPSrSb8WgL+6RI4+tV1lsvcvhNfk7vKcux6FOduGr2NrhPX0l3lOXWzVGPamiHm4kR8dmvU6JiaOop1uOPO7VKuHs5U7E3kM51/V0I9lgsa4hlqIeOdf9uzy9vLh582bW6+ibN/H08sqRx8vLi5s3bgBgNBpJTk6meHHTDbVuvXoEBQcTuH07EydM0LSXEkBJN2diY5OyXsfFJlPSzTnPvJ/O7M2adSO5m/qAvXvOAdC0WWXi4pK5fDlG07gAPD3ciI7Ofl+DIQ5Pz/wfF29vT0qV9ubgQW2G19h7uJFqcb7cM8Ti4J4zLtdqlXHwdCcm1y+CN3buwZh6j47b19Jh689c+mENaUka/eIFuHt5YrgZnfU69qYBd4vGmb+iKAojPhzPlzM+0yyeTCU9PYiLzo4rLtpASU+Ph+bv8GJ3/tjzm+Zx5MXdywuDxTUaEx2Nu9fj7TNLNerWwcbWjuuRVx+d+THlLj8MN6Otyg8PL0+izcMEM8uPYsWLsyMwiLt37xJ6+CAh+39nxZJvSUzUrjehq4cbiRbXZ6IhFpc8rs+mfV5gfODP+L0zmIAZ1r+01u7QiqizFzCmpWkWWwlPd+IsroNb0TF/eb616/UCR/dYN6RWql0TG1tboq9e1yy2Ih7u3LMsP2JiKeLubpXPo01LGv/4HbVnTKWIh3V6QTDcSsLLLbtBxqukC4ZbSRjicy73LOmKIT4pr7f4W4q4u3EvJvtcux8TSxF363PNvU0rGv64jJqf5r3PnGtUQ7G1JfX6Dc1ic/F0I9GQ8zpwzqP+0Kj3C4za+iMdx7xN4Mwvs5YXL+XF4NVLeH3ZF5R9prZmcQE4erhxx6JedMcQh2Ou2EpUq4SjpzvXc9WLANxqVeN/67/lf+uWsP/j+Zr1UgJT2XbDomy7mUfdyNPLixt51I2s1o22LhefhE0Jd9LjLOq68QZsSuQ8n+x8ymLrXZbSHy+l9KfLcKyXXde1KelJ2c9/pvw3W0jYtFKTXkoALh7uJFoczyRDLK6e1ud5kz4vMDbwJzq/M5jNMxaY4nVwoNUbfdm5yLonuhYKc5lrU9KdtFiL4xkXg21J6+NpV6osvrO+xXfOdzg90wQA25LupMVlX99p8dbrPol/8/1A/P9X6BqVFJPZiqKcUhTlpKIovc3LWyuKEqooyjpFUc4pivKToiiKOc3PvOwPRVEWKIqy5SHv7QsMBsYoinJMUZQWiqK4K4qyXlGUw+Z/z5nzTlEU5QdFUX4HflAUZYCiKBsVRQlWFCVCUZThiqK8oyjKn4qiHFAU5aE/NyuKskJRlF7mvyMURZmqKMpR8+erZl5eVFGU5eZlJxRF6Wle3lFRlP3m/GsVRSn6sPd5yOeboijKWHP6IYuYfBVFOWn++1lFUcLM+2+7oijeD/kcgxRFOaIoypElS5bklSX/9HpsPMsQ/fEgYhdOoOTACegciwJwfZQ/Nye+RuzCjyjR711sPEpps83HoSi0HDuYPZ9/8/S2qYHjx47RpUMHuj//PIOHDsWuSJECi+XD91fT56UvsbXVU69eOYoUsaFv32Z8//3eAovpcXTxa8OOHWHadY1/FEWh5pjBnJ632CqpeM1qqBlGdnR+iRD/V6n46os4lsrz8nzqerz6MvtD9xAbrc1QvL+r9fN+VKpVg1+X/jOV339CSXd3ps6dzfT33v9HehT+HbXr1SUjw0ibRk3o1Lwl/d8aSOkyZZ56HPtXbeQzv5cJnPcNbQfl7GTrWdEXvzFvs37q5089rkwt/f2oWLMGm77L+VtNMXc3Rs6azsIPpzz1Yxq3dx+/vdCHg6++ya1DR6g5WebKeJS4vfvY3703h199g4RDR6g+6cMc6XYlS1Bj8gTOTZ/51HoKWTq0eiPzu75K8BdLaDWoHwDJsbeY27EPi3sPYtvsr+k18yOKOD28p5jmFIVGYwdzZG7e9aK4U+fY1PMttrwynNpv9kFvp11vwn87Ra/HzrsM1ye/TfQXH+ExOLuumx5v4Oq7LxMxvDsurbqid9Wu9+rjOLBqI3P8XmHbvG9oaz7X2g0dwG8/rOVBasH3aimMZa6i12PnU4aIDwYTNXsiPiMmoHMq+lRjeBi5H4iCUugalYAeQD2gLtAemG3RyFEfGA3UACoAzymKYg98A3RRVfVZ4KFNsqqqRgCLgXmqqtZTVXUvMN/8uiHQE1hqsUoNoL2qqn3Nr2uZ42sIfALcVVW1PrAfyM8QszhVVZ8BFgFjzcsmAomqqtZWVbUOsEtRFDfgI3MMzwBHgHce9j4P+XyZn/0cYKcoSnnzot7AakVRbIEvgV7m/bfM/NmsqKq6RFXVBqqqNhg0aNAjP6TxVgw2JbN/wbcp4YExIcYqT+rRPWA0kh57g7SbV7HxKmtKSzC1xqfHRnHv7B/Y+VZ75DYfV0pMHM5e2adKUQ83UgzZvw7ZOTlQspIvvZbO4fXAH/CqUx3/+dPwqFGFFEMczha/9hT1dCclRptflgzR0Xh7ZzcaeHl7Y7DosQEQHR2Nt48PAHq9HmdnZxIScg4bvHTxInfv3qVqlSpPHJP/88+waPEbLFr8BrdupeDu7pKV5ubuTHzcw3vOpKUZ2b8vnKbNquDtUxwvL1cWf/MGK38cgru7C18vfp3ixa2Hzz2uPn1fYN36b1m3/lti4+Lx8sr+pcvT0w2DIf/HpUuXtgQF7vrbMeV2LyYOB4vzxd7TndTY7LhsnBxxrlSe55bMpf3mnyheuwaN503HtXoVSnVuR8y+w6jpRh4k3ObW8VMUq/HkxzRTbLQBT+/sX2zdvT2JNTxeI1GtZ+rT87VXWL9nJ8M/GE+X7i8wZNy7msQVb4jBzeKXZDcvT+IN1r3b6jZrzItDBvLx4FGka9hz5a/ERkfjaXGNenh55athzaloUeYt+5ZFc+Zx6tgxTWPLXX54entZlR8x0Qa8fEx5MsuP2wkJdP3f//gtdA/p6encio/nzz+OULNOHc1iS4yJw9Xi+nT1dCfpL67P40E7qdm2eY78r33xMas+/JRbGvYcAbhliMXN4joo4eWR5/lWp2kjeg5+kxlDR+c43xycnJiweD4/f/EV4cdPahrb/ZhY7C3LDw/3rMmlM6UlJaGa44natBWXatqVEU/Cs4QL0XHZvd2i45PwLOGCZ8mcyw3xiXiWdMnrLf6W+7Fx2Htkn2tFPNyzJq3NlG6xz24EbMXZYp/pHR2pM/czLi9eStLpM2gpyRCHq2fO6yD5L+oPp4Kyh8cZ09JITTT16Lp59gK3rt2gZLnSmsV2NyYOJ4t6kZOnG3ctYrN1cqBYRV86L51Dr8AfcK9dnXZfTKNkrntS4pWrpN9NpVil8mjFEB2Nj0XZ5p1H3cgQHY1PHnUjq3W9rMvFJ5F+KxYbN4u6bklP0m/lvEbT42O4c2Svqa4bY6rr2nqXzZHHmBDH/WuXcKiuzdC8pJhYXC2Op4unO4mG2IfmPxG0ixrmMrdM7ep0GTOYcdtW8dyrvWj91is07dtdk7igcJe56fGx2LpbHE83D9Lic5W58TEkHzR9d0kz3ODBjavY+ZQhLT4WW7fs69u2pPW6T+LffD8orAp6mJsMf/tnNQd+UVXVqKqqAQjD1IgDcEhV1euqqmYAxwBfoBpwWVXVzBnU8vtopPbAQkVRjgEBgEtmbyAgQFVVy2b63aqqJquqGgskApvNy0+aY3lcmY92+MNivfbAV5kZVFVNAJpgatj63Rxff6DcI97nr6zB1JiE+f/VQFVMjWXB5m18BGhSS7l/+Qw2XmWwcfcBvQ1OTTpy94+cT9y4eyQU++rPAqAr6oqtd1nSY6LQOTqDjW3W8iJV6pIWddlqG3+X4fR5ipUthUspL3Q2NlTp3JrLYfuz0h+k3GVJ614s9+vHcr9+RJ84y+ZRk4g5c4HLYfup0rk1eltbXEp5UaxsKQynzmsS14njx/EtX57SZcpga2tLN39/dgYH58izMySEHj17AtDFz4/9+/YBULpMGfR6PQA+pUpRoWLFrCefPInNAUcZMngZQwYvY9/vF+jQoRYA1ar7cOfOfW7dupMjv729bdY8SzqdQqPGFbl2LZ6IK7G89OICXnt1Ea+9uojY2CSGDl5OQsIdq20+rlW/bKRXz7fo1fMtdu38neef7whAnTrVSUm588i5k3IrX74MLi7OHDt2+m/HlNvtM+dwKlMKRx8vFBsbSnVsgyFsX1Z6esodtrfrQYj/K4T4v0LCyTMcHDORxLMXSI2Owa2h6Yl0ent7iteuQcqVa5rFdvbESUr7+uJdujQ2tra079aV30Ier0Ft6pix9Gjehp4t27FwxmcEbdjIolna9CAJP3kaH9+yeJb2wcbWhhZdO3FwZ1iOPBWqV2XotI/4ePBoEm89nbnYAM6cOEkZX198zPuso39X9oY83vxbNra2zFr8FYG/bsx6IpyWTh0/QdnyvpQqUxpbW1v8/P3ZHZxz5PXukBD+Zy4/Ovp14eA+U7l3MyqKxs1MQzIcHByoW78+Vy5dQivXT53DrVxpipfyQm9jQ90ubTkTmnM4g1vZ7N6o1Vo2Jd48pMHeuSivfzWToC++IfLYKc1iynTx5Gm8y5XBo5TpfGvu14kju3Keb+WrV+XtqROYOXQ0SRbnm42tDeMWfk7opq0c2K7NPGyWks6ex6FMaey9TeWHZ4e2xO7ZlyOPncW8XO4tmnEnQrshlU+ibcPqbAz9E1VVOXb+Ks6O9niUcKF5vcr8dvwiiSmpJKak8tvxizSvp9GDEYDks+es9llcrnnfLPeZW4vnuGOe60yxsaH2Zx8THbid2N05zwEt3Dh9jhLlSlHMfB3U6tyWc6E5j2cJi+ugcssmxF81zfHkWNwVRWeqthcv5U3JsqVIuH4TrcSdPo9L2VIU9THVi8p3as01i3pRWspdVrXpxTq/fqzz60fsybPsHD2J+DMXKOrjhaI3xebk7YGrb1lSbmjXcHM8V93I39+f4Fx1o+CQEHqayzY/Pz/2metGwcHB+Pv7Y2dnR+kyZfAtX55jGjbo37t4Bjvvsth4+ICNDc7PdeDO4Zx13ZRDYTjUND3hUOdsquumGaKwKeGBYmfqUa5zcsahWl0e3Ii02sbfcf3Ueasy92yuc62kxblWtWUT4szn2pIBI5nVuQ+zOvfh9x/XEfrtT+z/ZYMmcUHhLnNTL5zBzqcMtp6m4+nasiMpB3P2sE/eH4pTbdN3F72LK3Y+ZUmLvkHK0QM41W+CzskZnZMzTvWbkHL0gGax/ZvvB+L/v3/b09/uW/xtRJv4dUATVVXvWS40j6zL/W3XcvsZFq8z8hlL5nqP+gwKEGzRU+rvvk+m1cBaRVF+BVRVVcMVRakNnFZVVbuZ5DJlGLm1Yjae478EnZ6UsADSoi5TrOfb3L9yltSje0g9sR/72k3wmbUGMjJI+HkBGSmJFKlch5JvfggZGaDTkRjwfY6nxj0p1ZhB6IyFvLBoBopOx5mN27l1KZImQ/tjOH2BKxYVqdxuXYokfMceXt2wFNVoZPenX2ry5DcwzQMwddIkVqxciU6vZ92aNYSHhzP6nXc4eeIEO0NCWLN6NZ/Pm8eusDBu377NqOHDAWjQoAFvDx1KeloaGarK5I8+surB9KQOHbxEo0YVWbFyMPfvpzFndvajUhctfoMhg5dhb2/L1OkvYmurR6coHDseyZbNRzWNIy979hygRcvGBAX9SOq9+0z8KHuun3Xrv6VXT9MTc9559238/Nphb1+EkJ1r+HX9Vr7+2jR0qkuXtgQFaddLCUzn2slZX9Jk4Wcoeh1XNwWRfDmSqoMHcPvMeQx7Hn6uXVmzkfpTxtF6zXcoisLVgG0kXdSucdVoNDJ3yjTmfb8UvU7PlrXruRJ+kYGjR3Lu5Cl+27mL6nVqM2PRQpxdXWjerg1vjhrBq527aRZDXjKMRr6ZNpMp3y1Cp9cRsm4T1y5e4uWRQ7h46gyHdoUxYPwYHBwdGb9gNgCxN27yyRDTY81n/LyM0hV8sXd0ZNme7Xz54RT+/O3h+zk/jEYjsydPZcHKZeh0ejavXcfl8IsMGjOKsydPsjfEtM9mLf4aF1cXWrRrw6DRI+nTyY/2XbtQv1FDXIsXp1uvHgBMHTue8LNnH7HVx4/tk0mTWbJyJTq9jg1r1nIpPJzh74zh9ImT7A4JYf3q1cycN4+gsN0k3k5k7PARAPyy8gc+njObTcHbURSFDWvXceHcOU3iAtMx3fTpFwxcPAedXsfhDYEYLkXQcdgbXD99jjOh+2jWtweVmjxLRno6qUkprJ4wA4BmfbvjVqYU7Qf3p/3g/gB8+/ZY7ty6rVlsS6d/xsTvvkKn07FrfQDXLl6mz4jBXDx1hiO79/Dae6Oxd3Tk3S9mARB3M5qZQ8fQrHNHajSoj3MxV9p09wdg4QeTiTinzcTTqtHI+Tnzqb9gNopOx43NQdy5EkGFQa+TdPY8cXv3UaZ3T9xbNEM1GklLSub0tJlZ6z/7zQKcypVF7+BA881rOfPxLG4d1OZpje/MXcWhU1dISL5Dy4EzGdGnPenmefz6dmpMq2erEnb0PB2Gfo5DEVs+HW76wl/M2ZGhL7ah1zjT72jDXmxLsb+Y8Du/VKORC3O+oO78OSg6HTe3BHL3SgTl33qDpHPniN+7j9Iv9cStxXNZ++zcdNM+82jfBtf6dbFxdcGra2cAzk2fSYrFExSfRIYxg8BPF9Bv0Sx0eh1/bgwi9lIEbYa+zo0z5zkfuo/GfbtTofGzGNPTuZeUzIaPTLGVe7YubYe+jjE9HVXNYPPH80jVcI491ZjBgZkL6WCuF13ctJ3blyKpN6Q/8Wcu5Ghgys2jfi1qv9EbNd2ImpHBgRkLuH9bu3myjEYjkyZNYuXKlej1etaY60ZjzHWjEHPdaO68eYSa60YjzHWj8PBwtmzdSnBICOnp6UyaOFHb4e0ZRmKWzqLURwtApydpVwAPrl+mRO+3uX/pLHeO7OHusf041m1M2XmrISODuB/mk5GSiH2dRrj1H20aYqkoJAT8xIOr2jTmZxiNBHw6nzcWz0bR6zgpgxoPAAAgAElEQVSyIYiYSxG0H/Y6UafPczZ0H037dqdSk2cxphtJTUpmrbnM/acV5jKXDCPRi2dTdtoCFJ2O28GbuX/1Mu6vDCI1/Cwph/Zy5+gBij7ThIpfr0LNyMCwfAHGZFPvy7jV31Fh3goAYlctJSNFu+ugMN8PhFAKy3wOiqKkqKpaVFGUHsDbgB9QAtOQr8aYeiSNVVW1mzn/QnPaauAC0EJV1QhFUX4CXDPz5bGddwEXVVUnm1//DPypqups8+t6qqoeUxRlCpCiquoc8/IBQANVVYebX0eYX8flTstjmyuALaqqrsu1XgNgjqqqrRVFmQnYq6o62rxOcUwNRX8AbVVVvagoihNQSlXVC3/xPrk/X+7PcRg4B5xUVXWWoih2wBmgn6qq+83D4aqoqvqorhpqxCsNHpHl6fP96Qjz63Z4dMYCMOp4MBXLlXt0xgJwKTKSju2fTmUiP3aEmMaC16rZpoAjsXbq9G4AAp5t94icT9/zf+ykWQVtnkiotX2Xz/N8Fe2evKOlgAvHaFReux4TWjl0xfTY7JrltBtOopXTkabG/nG1tX2YghZmnTT98t2z2jMFHIm19eeOEtK4dUGHkaf2B0Ph9PqCDiNvNXuyu0nhO9faHDCda5PrFL571dQTpnvVinqFr2404FgwvoW0XhQRGUl4r4aPzlgAKq87zAe1Wxd0GFZmnAwFCm+ZC3CmW6MCjsRajS2mKW8L4z2h/cFQMHVy+H+pQflKhaMhJJcjVy7+6/Z5YRz+tgE4ARwHdgHjVFV9aB9a8/C0ocA2RVH+AJIxDU17mM1A98yJrIGRQAPz5NhnME10XRA+BoqbJyg/DrQxD7MbAPyiKMoJTHM3PWpiodyfL7fVwKuYhsKhquoDoBfwmXm7x8jn0/GEEEIIIYQQQgjx31Nohr+pqlrU/L8KvGf+Z5keCoRavLbsFbRbVdVq5qfBfYWpB9PDtnMByD37aO888k3J9XoFsMLite/D0vJ4rwEPWe8I0Nr8dwqmOZNyr7uL7DmlLJc/7H1yf769udabA8zJtewY0PJh8QshhBBCCCGEEELkVmgalZ7QW4qi9AfsgD8xPQ1OCCGEEEIIIYQQIoeMQjn47d/p/0Wjkqqq84B5lssURXkdGJUr6++qqg77p+JQFOUr4Llci+erqrr8n9qmEEIIIYQQQgghREH4f9GolBdzQ85Tbcz5JxushBBCCCGEEEII8eQykK5KWimME3ULIYQQQgghhBBCiEJOGpWEEEIIIYQQQgghRL79vx3+JoQQQgghhBBCCJGbDH/TjvRUEkIIIYQQQgghhBD5Jo1KQgghhBBCCCGEECLfpFFJCCGEEEIIIYQQQuSbNCoJIYQQQgghhBBCiHyTRiUhhBBCCCGEEEIIkW/y9DchhBBCCCGEEEL8Z6jy8DfNKKrsTfH3yIkjhBBCCCGEEP9/KQUdwD+ldrkKhfL77MnIy/+6fS7D34QQQgghhBBCCCFEvsnwN/G3LanboaBDsDLoeDANylcq6DDydOTKRXzLlSvoMPIUERlJed/KBR2GlSsR4QBUrFCjgCOxdunyGQCOd2xSwJFYq7vjQKG+DppVqFrQYeRp3+Xz+PoWvv0WEXERoFBfo1XL+RZsIHk4HxkBUGiP6YOgTwo6jDzZdZnA7iatCjqMPLU5EAan1xd0GNZq9gSgT/UGBRyItVVnjwAQPaxhAUdizeurw1QspPWiS5GRrKhX+Oq5AAOOFc667pErpntVzXLlCzgSa6cjrwCQtn1mAUdizbbT+wBcf7PwlR+lvztS0CH8ozJk4I1mpKeSEEIIIYQQQgghhMg3aVQSQgghhBBCCCGEEPkmw9+EEEIIIYQQQgjxnyGD37QjPZWEEEIIIYQQQgghRL5Jo5IQQgghhBBCCCGEyDdpVBJCCCGEEEIIIYQQ+SaNSkIIIYQQQgghhBAi36RRSQghhBBCCCGEEELkmzz9TQghhBBCCCGEEP8ZGfL8N81ITyUhhBBCCCGEEEIIkW/SqCSEEEIIIYQQQggh8k2GvwkhhBBCCCGEEOI/Qwa/aUd6KgkhhBBCCCGEEEKIfJNGJfGPKt2sAS9tWkbvzSuo+0bvh+Yr3645g44H41ajCgClmjxD91++ote6JXT/5St8GtXTPLamLVuyfucONuzeSf/Bb1ul12/UkB83b+JA+DnademctbxK9eosW7+W1duD+CVoCx26+mkaV6tWrdi5axehYWEMGTLEKt3Ozo6FCxcSGhbGxo0bKV26NADFihXjl1WrOH3mDFOnTdM0JkuTJ09kd2gIQUGbqVmzRp55atWqSdC2LewODWHy5IlZy0eNHsH+A3vZGhjA1sAAWrdupWlskyZ9yK5d29gauIGaNas/JLYaBAZtZNeubUya9GHW8urVq7Fu/S9s3vIrGzetoU6d2prF5dygCVW/W0215Wvx6N3PKr14h67UXBNElUUrqbJoJSU6P5+V5j1wOFWX/EzVpavwGfqOZjFlKqzXAUDjli34JWQba3btoN/gt6zS6zVswPKAX9lz4TRtunTKWu7l48PygF9ZsWUjP27bwgsv99E8tsmTJxIaupOgoC3UrFkzzzy1atVk27athIbuzHEdZBo48E0iIi5SvHhxzWMrjNdoi1at2LZrJzvCQnkrj7LN1s6OeQsXsiMslDUbN1LKXLYBVK1WjVUbfmVL8A4Ctm/DrkgRzeLKVFiP6W9no/D/ZCN+H29gachJq/Qbt1IY+NUOenwWwOtfbif69p2stMGLQ2j2/i8MW7JTs3gylWjSiMarf6Dx2p8o2+9lq3Svrp15LmgTDVYupcHKpXg/3xWAopUr8cy3X9Po5xU0/HEZHu3baB7bBwvX03TAJ3Qb9UWe6aqq8vHSzXQYOgf/MQs4fSkqK23D7qN0HPY5HYd9zobdRzWPrW7zpswNXM8X2zbw/MD+Vul+/V9hzuY1fLbxFz5a9jVuPl4AuPl4MWP9j8z89Sdmb15N+949NY/NrkZT3Catw23Krzh1sI7NuecYSn7wEyU/+Am3SevwmL0rK82+cVfcJq/HbfJ67Bt31Ty2lq1aEbxrF7vCwnj7IXWjBQsXsissjPUW5cdzzZuzacsWArdvZ9OWLTRt1kzz2Eo1a0D3jcvoEbCC2q8/vK5brl1zBhwLpqS5rpvJycudV/YFUPO1XprG9Xfv7wALVixj9/GjzFu6RNOYMjVv1ZItu3YSFLabgUMGW6Xb2tkxZ+GXBIXt5peNG/ApXQoAGxsbPv18Dhu2BxGwM5iBQ63PhSf125nrdPt4PV2mrWNp8Amr9Bu3Unhz4Ta6z9zIgAVBRCeYytxz1+N5Ze4W/vfpBrrP3EjQ0cuax1akVlM8P1mP16cbcO5ifY0CODRoj+f0NXhOW02Jtz7OWu7aaySe01bjOX0trn3Hah6b+G+T4W//TyiKUgx4WVXVr82vWwNjVVXtVmAx6XQ0/3AEW98ezx1DHN1/Xkhk6H5uX76aI5+towO1XumO4cTZrGX3bieyfeQk7sbGU7ySL36LZvBTh76axabT6Rg/bQrD+vXHEB3Nyk2/sidkJ1cuXszKEx11gynvjaPfWwNzrHvvXiqT3x3LtYhI3Dw8+HHzRvbv2UtKcrImcU2bPp3/Y++8w6K4vj/8zi4ooIANdrFi74qxlygWLNhb7DEmaoy9916iRqPpMbYYNcWuqNhQisaKESuKoiIKu0uToqCwzO+PRWABE5Uxkt/3vs/j87hzz+x+mDvn3DN3bhk4YAA6nQ4PDw+OeXlx5/btdJsP+vQhNjYW1xYt6Ny5M9OnT2f06NE8e/aML1eupHLlylSqXDnXWnLC1bUFzmXL0NK1DS51XFi8ZCHdu2VPghYvXsCMGbMJuBTAz5vW08K1Ob4+fgBs3LCJdes2vAVtzXF2LkOrVu1xcanFwkXz6Nkje2fCwkVzmTljLgEBV9i48SdatHgfX9+TTJs+iW+/+QFf35O4ujZn2vRJDOj/Ue6FqVSUGD2Zu9PHkhxpoOK3PxN75iTPHtw3M3vs68Wj7780O2ZTrSYFqtfi1oiBAFRY9RMFar3HkyvKPOjkVT94oW3ygrmM+3AIBp2eDXt3ctLrBPfvBGdoCwtn8dQZ9B/6sdm5kRERDO/Vh+TnyVjb2LD18H5OeZ0g0mBQRJurawvKlnXG1bU1deq4sGTJArrl6AcLmTFjFpcuBbBp0wZcXZvjk+YHTk5ONG/ejIcPH2U7L7fa8qKPqlQq5i5ayJABA9HrdOz08OCE1zGCb2fca737fEBcbCxtW7ji3rkzk6dPZ8Lo0ajValZ8tZopEyZyKzCQQoUKkZKcrKi+vFqnxtRUluw8x9rP3NAWsqHvKk9a1ihFeW2hdJuV+y7SuX55ujYoz7mgcL4+cImlA5sB8FGr6iQ9T2HH6SDFNAGgUlFp8ngCxk7imSGCej//ROTJP3l6P8TMzOB1gttffm3+NyUlEbhwCYmhj8hXrCj1Nq0j+uwFUhISFJPXo+V7DOzQiGnf7Mix3O+vIO6HR3H0+0lcDgpl/tp97Fg+ksfxT/lu+3F2fTEKSZLoMeU7WtWvin1Ba0V0SSoVH8+ZxpJPRhGl1/P59s1c9PbjUfC9dJv7gTeZ2Xsnz5Oe4da3JwMmj+XriTOJiYhkTt8hpCQnk9/GmpUe27h4wpeYiEhFtCGpsPtgKjHfjsb4WE/Rqb+QdNUPoy5DW/yu1en/t2nxARalTLmGZGNHQfdhRC3/EGSZotO38OyKH3Kicu3B/EWLGJyWG+3x8OB4ltyod1pu1KpFCzp17sy06dMZO3o0MTExDPv4YwwGA5UqVeLnLVto2rChIrrAVKcNZ4zh6IhpPNVH0unX73jge4bYLLmuhY01Vft3JyJTrvuC+pNG8OjPC4ppgty17wBb1q7DytqaHv2UfymjUqmYtWghwwYMQq/Tsc1jH95eXmbtQc+09qBDi5Z06NyJidOnM3n0GNp1dMcyXz66t+uAlZUVHl7H8PTwIEyhuGtMTWXxjrOsG9UObSEb+qzcT8sapSnvlCnm7r1Al/rl6dqwIueCwvhq/0WWfdgcq3wWfD7wfco42mOIfcoHKzxoWqUEdjYKvQSRVBQeMI2IL0dhjNHjOGcziQF+pIRn+KiFYylsOw7BsPQT5KfxqGxNLzjyla9Fvgq10c8zPUs5zFhP/sp1eXbrojLaBP/ziJFK/38oBIxU6sskScp1h6NDjcrEhoYR/0hHakoKwYd9cHbN/oao3qiPCPh5G8Znz9OPRd0M5mlEFAAxd+6jzp8PlaVlbiWlU712bUJDQngUGkpKcjJH9x+khVsbM5vwR4+4c/MWqampZscf3LtPaFriHGkwEB0VReGiRRTR5eLiQsj9+4SGhpKcnMz+/ftp6+ZmZtPWzY1du3YB4OnpSZOmTQFITEzE39+fZ8+eKaIlJ9zatmH37r0ABFwKwM7WFgcHBzMbBwcHCtoWJOBSAAC7d++lbVu3bN+lNG3atGLPnn0mbQFXsLOzxcGhWBZtxShYsCABAaY3T3v27MPNrTVgenNdsGABAGxtC2JQqAPCpnI1noc95LkuDDklhce+x7Bv0vzVTpZlpHz5kCwskSwtkSwsSImJVkQX5F0/AKhWuxYPQ0IIC31ISnIyXgcO8n5aXb1A9+gRwTloS0lOJvm5qdPBMl8+JJWyTV3btm3YvXsPAJcuBWBra5ejH9jaFuRSuh/sMfODOXNmsXTpcpSe0Z9XfbSWiwsh90N4mBbbDu7fT2u3tmY2rdzasictth3x9KRxU1N70bT5+9y6eZNbgaaHscePH2er89ySV+v0akgUpYvZUqqYLZYWajrUccb7aqiZzV39YxpWNI1maVBRa1beqJITBfIr13a+wK5aVRIfPiIpLBw5JQX9sRMUa97slc5NDH1IYqjpAfB5ZBTJMTFYFrZXVF/96mWxt7V5afnx8zfo5loHSZJwqVyauCdJGKLjOBVwm6a1KlDI1gb7gtY0rVWBk5eU65CrUKs6ugehGB4+wpicwmnPo9RrZT4a8Mb5izxPMrXjty9fo4hGA4AxOSW9M9UyXz4kSdm4ZulcHWNEKMaoR2BMIeniMaxqvXykolW9diT5HwEgf9VGPL95DvlpHHJiPM9vniN/tcaKaaudJTc6sH8/bbLkRm3c3NidFj8OeXrSOC03unH9enp7HhQUhJWVFfny5VNMW7EalYkPDSMhLde9d8SH0jnkuu+N+ohrm7ZhfP7c7Hjplk1ICNPxOPi+Ypogd+07wIXTZ3ia8CTbcSWo6VKb0Eztgef+/bTMUp+t3NzYl1afRz0P0SitPZBlGRsbG9RqNfmtrEhOTuZJvHId0ldDIintkCnmvleOE1fNOwiDdY9pUMkJgAYVnfBOK3d2tKeMoymWOdrbUKSgFTEJSYppy1euOimGUIyRJh9NPH8U6zrmPlqgeXcSTmxHfmrq0E2Nj0krkZEs88GLfFJtgTEuSjFtAoHoVPqPIknSREmSrqX9Gw8sA8pLkhQgSdKKNLOCkiTtlCTppiRJv0qSJKWdW1eSJF9Jki5KknREkiSntOM+kiR9JUmSPzAutxoLOBbjiS4i/fMTQyQFNOYP+UWrVKCg1oHQk+df+j1l27xPZOAdUhV8M+2o1aAPD0//bNDpcNRqXvt7qteuhaWlJQ9DHvyz8Sug0WoJy6QrPDwcjVab3SYsDACj0Uh8fLzi02deqk+jITwskz6dDm2W66bVaggP16V/1oXr0GgybD4cPJBDh/az/Iul2NnZKadN60hY5t/V6XPUptPpM+nXo9E6ArB40TKmz5jCqVPHmT5jCiu+yHnaxOtiWcyB5xEZHVTJEQYsizpks7Nv1pJKa7ZSZs7nWDqYND0NvEZCwEWq/3GA6n8cJN7/HM9C7yuiC/KuHwA4aDXoM9VnRLgeB82ra3N00rLZ04O9f/qw9ad1io1SApMfhGXyA90r+EF4Jj9wc2uDXq8jMPCmYpoya8uLPqrRatCFh6V/1oeHo8miS6PVEJ5DbCtbthyyLLN+82Z2HzzA0E+zT+PItb48WqeG2KdoCxfI0FnIBn3sUzObSsUL43XF5HvHrzzgybNkHj9R7kEmJ/I7FCMpk089M0SQP0snPoBDyxbU37qR6p8vIL9j9rhnW60KkqUliQ/DspW9TfTRcWiLZXRkaYvaoY+OQx9lflxT1B59VJxiv1vE0ZGoTG1QtN5AEY3jS+1b9uxKwMnT6Z+LajUs3/s73584iMeGX5QbpQSoCjlgjMnQZnysR1Uoe50BqIpoURctzvNb/mnnOpqfG2NAVejlf9frotFqCc/UVulyyI20Wm2O8SMz7d3duX7tGs+zdOzkBpusua4+EhtHc18oUqUCNhoHHmbJdS2srajxUR8C1mxRTM8LlGrf3wZZ61MfrstWn45aDbq0mPyiPgsVLsxRz0M8ffoUnwvn8DrzJ5vWriM2NlYxbYbHT9EWMo+5hljzzrXKJYrgddn0Us3rSkiOMfdqSATJxlRKFVMuz1UXcsQYbe5n6ix+ZqEtjaWmDA7TN+Aw82fy1zB17j4PvsqzW/4UX3UYpy+PkHTtLCnh9xXTJhCITqX/IJIk1QWGAA2BRsAwYDkQLMuyiyzLU9JM6wDjgWpAOaCpJEmWwLdAL1mW6wIbgSWZvj6fLMv1ZFk2n4dj+t3hkiT5S5Lkv3atAnOsJYnGk0dw5sufXmpSuHwZGo4fyslFyjzgK0lRBwcWrlrJginTkWWxf8Cr8OvW32jRvDXu7l2IMBiYNXvGu5aUzoABfVm8eBnNmrVmyeLlLFu+6F/77bizJwn8sDtBIwYS/9d5Sk2ZC0C+4iWxKu3Mjf5duNGvMwVd6lKgRu1/TderkFf9wBCu40P3LnzQsi3uPbpTuFjRdy0JACsrK0aNGsGqVXkvpkHe9FG1hZq69eszZdw4+vfsRZv27dLfWucF3nWdTu5aD/9gPb1X7Mc/WI+jvQ0qhUexvAmRJ09zpnsfLgz8mJjz/lTNtIYdQL6iRag2bxY3Fy2DPBQ78grNOnegXI2q7N+wOf1YlE7PtG79GN+uG827dsJewdGhr4N13bYkXToOsrIjBt8mFStWZOr06cye8S/HNEmiweQR+K/Knuu6jPiQG7/uIiXx7XYC/3+ipkttUlONtGzQiHbNmjN42FBKlir1r2qY3K0+/nd09Fq+D/87OjT2NqhM7+0BiIh9yowtfizu3wyVSvqbb3oLqNRYaEoRsWI40WtnUXjwLCTrgqgdS2LhVJbwye6ET+5A/qr1yFdR+fVq/2vIefTff5F3n3UI3oRmwB5Zlp/IspwA7Abez8HuvCzLD2VZTgUCAGegMlADOCZJUgAwGyiZ6ZxtL/tRWZbXpnU41Rs+fPg/inxiiKSANuMtVwHHYjzRZ7xVsyxgTZEKznRev5J+nltwrFWVdl8vTF+su4BjMdxWz8d79hfEPwzP9v25waDTo3FySv/sqNViyPT28J8oULAgX29czw8rV3EtIEAxXXqdjuKZdDk5OaHX6bLbFC8OgFqtxtbWlpiYGN4WgwYNSF+0N8JgwKl4Jn1ardnIHzCNEHJyynjjpHXSotebbCIjo0hNTUWWZX7/Yzu1a9fKlbaBg/qx/8Bu9h/YTYQhguKZfzfLqKQX2jKPPnDSatDrTG/be/TsypHDxwDw9Dys2ELdyZER5HPIeJNk6eBIclSEmY0xPg45bSRe9CEPbCpWAcC+aQue3LxGalIiqUmJxF84g01V5RYQz6t+ABCh06PJVJ8OThoi9K+u7QWRBgN3g27jUr9ervQMGjQQT08PPD09MBgiKJ7JD7Sv4AdOaX5QpkxpSpYsxaFDBzh1ygetVsuBA/uyTdV8PW1510dfoNfp0ToVT/+scXJCn0WXXqfHKYfYpgvXceHceWJiYkhKSsLP25vqNWrkWlNertMXONrbpC8CC6B//BSNvU02m68+dmXHlM6M7VgHADsb5ab35MSziEisHDPiWn5HB55lGTWTEpcR18I8DmJbJWNxYrWNDbVWLefumvXEXb/xVrXmhKaIHbrIjNENuqg4NEXs0BQ1P66PikVTVLmRBtEGA0UztUFFNI5E67OPoqzRuAHdP/2YFSMn5rh+WExEJKG3g6lSt45i2lIfR6AunKFNXUhD6uOIHG2t6rYlyf9opnMN5ucWdiT1sXKjQ/U6HU6Z2iptDrmRTqfLMX6AyZ9/XLuWKRMn8uCBciNqAZ5mzXU1xXhqMM91C5V3pv36lfTy3IJDzaq0/mohRatVwqFmFeqNH0Yvzy1UG9CDWp/0o0qfroroym37/jbJWp8aJ222+jTo9GjTYvKL+nwcE0PHrl055eNHSkoK0VFRXLroT/VayrRTAI6FbMw2O9A/foqjfQFzG3sbvh7amp3TujKuU12A9HWTEhKfM/KnY4ztWJfaZZUbrQdgfGxAXcTcz4xZ/MwYYyAxwA+MRoyRYaToH2ChKY11nZY8D76K/CwR+VkiSVdPk6+8ctdNIBCdSv+/yby4jhHTwuwScD1tRJOLLMs1ZVnOvLCFYhOoI67fwr50CWxLaFFZWFC+vSshvmfSy5MTnrLZtRe/uw/id/dBGK4EcmTcXCJvBJHPtgDtv1vM+a83oA+4rpSkdG5cuUIp5zIUL1kSC0tL2nbuiJ/Xq+2OY2FpyYo1P3Bw9x6OHzqsqK7Lly/jXLYsJUuVwtLSks6dO3Ps2DEzm2NeXvTsadr1xd3dndOnT+f0VYqxZcuvdHTvQkf3Lhw96kWPHt0AcKnjQnx8PBER5klnREQECfEJuNQxvQHp0aMbx456AZitUdKunRtBQblbq2Lrlt/p3KkHnTv14Oix43TvbkrGXFxqpWkzf8iJiIgkISEBFxdTQ9q9e1e8vEy71+j1Bho2rA9AkyaNCMmy4Oyb8vRWIPlKlCKf1gnJwoJCLdyIPXPSzMaiSMYoGrvG75OUtoh3skFPwZrvgUoNajUFatVRdPpbXvUDgMArVynp7IxTmrY2nTpyyuvEP5+Iaerci93BbO3sqFXvPULu3vuHs/6eLVu24u7eBXf3Lhw9eowePboDUOdv/CA+PoE66X7QnaNHvbh1K4h69RrSrJkrzZq5otPp6NSpa7Z79fW05V0ffcHVy5dxLutMyVIlsbS0pGPnzpzIEttOeB2je1psa+fuztm02HbK15dKVSpjZWWFWq2mfsOGZgv0vil5uU5fUKN0UUIi43kYFU9yipFDl+7jWsP8rXxMQhKpqaZ3m+u9rtG9YYVc/+4/ER94E+tSJbFy0iJZWKBxa0XkyT/NbPJlGkVT7P2mPEmLqZKFBTWXL0bneYQIb9+3rjUnWtWvyl6fS8iyTMCtB9jaWOFYxI5mLhU5dfkOsQmJxCYkcuryHZq5VFTsd4Ov3kBbphQOJYqjtrSgiXtbLnr7mdk4V63MsPkzWTFqInHRGS+MimgcsUyLawXsbKlStzZh9+4rpi055AZqx9KoixYHtQVWdd14dtUvm51aUwaVjS3J9zJ2xXoWeJZ8VRoiWdsiWduSr0pDngWeVUzblSy5UafOnTmeJX4c9/KiR1r86ODuzpm0+GFrZ8f6n3/mi+XLuejvr5imF0Rev4Vd6RIULG7Kdcu2cyU0S677R8te7HQfxE73QURcDeT4+LlE3Qji0McT04/f+HU3Vzb8zs1t+xTRlZv2/W1z7fIVSpd1pkRae+DeuTPex7zMbLy9vOiaVp9t3Ttw7rTpmoY/ekTDJqYpXdbW1tSuU4d7wcEoRY3SxXgQEZcRc/+6S8uaL4+5645doXsjU4xITjEybsMJutSvQNs6zoppesHzezew0JRCXczko9YN2po6kDKReMmH/JVNHV2qgvZYaEpjjHiEMVpH/soZ+WT+yu+ZLfAtEOQWsfvbf5OTwCZJkpZh6iTqDgwGJr3CubcAB0mSGsuyfCZtOvh3w3MAACAASURBVFwlWZYV77mRjan8ufQ7Ovy4FJVKxa29R4gJDqHuyMFEXg8y62DKSvW+XbErXZz3hg/kveGmna88P5tOUvRjRbQZjUZWzFvAt5t/Rq1S47FjB3dv3+bTCeMIvHoNP6/jVKtVkxVrfsTO3o73W7di+Phx9GnXAbeO7rzXoD72hQvRqVcPABZMnkZQYPYdPd5E19y5c9m8eTNqtZrt27dz+/ZtJkycyNUrV/Dy8mL7tm2sWr0aH19fHj9+zJjRo9PPP3XqFAVtbbG0tKRt27YMGjRIkYevF3h7+9CyZQt8fI+TmJjI1CnT08sOenrQ0b0LAHPmzGfFyuVYWVnh6+OLj4/pwWHGjKlUrVYVZJmHDx8xc2b2LbnfFB9vP1xdm3PC+zBJSUlMmzorvWz/gd107mSqq3lzF/HFF5+T3yo/vr4n03dumjlzHnPnzEBtoebZs+fMmjVPGWGpRh59t5Jyn38NKhXRRw7wLOQemg+HkRh0k7izJynW7QPsG72PbDRijI8jdKVp6t3jkyco6FKXymt/BVkm3v8scWdPKaOLvOsHL7Stmr+Q1b+sR61Sc2DHLu7dvsPQ8WO5efUap46foGqtmiz98Tts7e1o1roln4wbw8D2nXCuUJ4xM03T8SRJ4vd1G7l7S7nFdk1+4Iqv7wkSExOZMmVaepmnpwfu6X4wj5Urv8DKygqfTH7wNsmrPmo0Glk4dy7r02Lbru3buXP7NmMnTuDalauc8PJi57btrFi9iqO+PsQ+fsyE0WMAiIuLY9P69ezc74Esy/h5e+N7wlsRXS/Iq3VqoVYxs2cDRqzxwpgq071hBSo4FeI7zwCqly5KyxqluHBHz9cH/kKSoG55DbN6ZexsNfibw9zTx/L0eQqt5+1kYd/GNK1aIte6ZKORoJVfUfvrlUgqFeEHPHl67z5lh31M3M2bRJ08TckPelLs/abIRiPJcfGmaW6AY5uW2NepjYW9HdqOpm3Mby5aRkKmnZ9yy8RVf3D+2j1i4p/QfOgyxvRtQ4rRCEC/dg1pUbcyvn/dwm3kl1jnt+Tz0aaH10K2Nozs3ZJeU78HYFTvVhT6mwW/X5dUo5GfF69g5vpvUanUeO/24OGdu/Qe8yl3rwVy0duPAVPGkt/GmvGrTdcrMlzPylETKVG+LAOnjjdNFZQkDmzcSuht5R6mSTUSt/0LCo/6BlRqEs94kBJ+l4IdPyX5QWB6B5N13bYkXjTv0JGfxvHk8AaKTvsFgCeHNiA/VW4tKqPRyIK5c9m0eTMqtZqdabnR+LTc6HhabvTl6tWcSMuNxqXlRh8OHkwZZ2fGjB3LmLFjAfho0CCiopRZpFg2pnJ22Xe4/bgUSaXizr4jPA4OweWzwUTdCDLrYPo3yU37DrBu++84lyuPdQEbDp4+xaLpMzjrd/IffvXVtS2ZO4+1mzejUqvYs30HwbdvM3riBK5fuYq3lxe7tm1j2erVHPL1JvZxLJPT2oPfN29h8coV7Dt2BEmS2LNjJ0E3lVvLzkKtYmavRnz6w1FTzG1UkQpOhfnu4F9UL12MljVLc+G2jq8O+CMhUbe8htm9TZ1chy/d5+IdHY+fPGPveVM8WzKgGVVKKjT9PtXI419XUGzCt0gqNU9OeZASdhe7rp/y/H4gSZf9eHbtDFbVG6FZtB1SU4nd8Q2pT2JJ9D9O/ir10Sz4A5BJunaGpMvK1Od/mdT/7GSzvIeUl9bAELw6kiRNBF7so71eluWvJEn6DagFHAIOApNlWe6UZv8d4C/L8iZJklyAbwB7TB2LX8myvE6SJJ+0c17lVY68tvbb39HrdRl++Rj1yr79t7Rvgv+9OziXKfOuZeTI/ZAQyjor9zZWKe7dN3WIlS9X7R0ryU7wXdOUjcttG71jJdmpffRsnvaDJuUqv2sZOXL67i2cnfPedbt/35Sc5mUfrVzG+d0KyYFbIfcB8mydPj+05J8N3wH5OszCu9HLd/16l7Q86wvXd71rGdmpbuqU6ls1d9Ns3wZ/BJpSOt2o+u9YSXa031+gfB7Ni4JDQtjkkvfyXICPAvJmrut/z9RWVS9T9h0ryc71ENOonOQjy96xkuxYtjO9/Hn4Sd6LHyU3+INpAMP/SyqUKZMnO0LuhIT85665GKn0H0WW5VXAqizH+mcx88lUNjrT/wOAbHuay7LsqqhIgUAgEAgEAoFAIBAIBP9vEZ1KAoFAIBAIBAKBQCAQCP5nyJPDlP6jiIW6BQKBQCAQCAQCgUAgEAgEr43oVBIIBAKBQCAQCAQCgUAgELw2olNJIBAIBAKBQCAQCAQCgUDw2ohOJYFAIBAIBAKBQCAQCAQCwWsjOpUEAoFAIBAIBAKBQCAQCASvjdj9TSAQCAQCgUAgEAgEAsH/DGL3N+UQI5UEAoFAIBAIBAKBQCAQCASvjehUEggEAoFAIBAIBAKBQCAQvDZi+ptAIBAIBAKBQCAQCASC/xnE9DflECOVBAKBQCAQCAQCgUAgEAgEr43oVBIIBAKBQCAQCAQCgUAgELw2YvqbQCAQCAQCgUAgEAgEgv8ZxPQ35ZBkWVxOwRshbhyBQCAQCAQCgUAg+P+L9K4FvC2cy5TJk8+z90NC/vGaS5LUHvgaUAPrZVlelqU8P7AZqAtEAX1kWb6fVjYD+AQwAmNlWT6SW81ipJLgjVlSq/W7lpCNWVeO81G1hu9aRo5sunEO5zLl3rWMHLkfcpc2rea/axnZ8DoxH4BKleq+WyE5EBR0EYCva7u9YyXZGXf5GF0qubxrGTniERRA36r13rWMHPkj0J9WFaq9axnZOHHnBgDOzhXesZLs3L9/B4COlWq/YyXZORh0GYBGZSu9YyXZOXsviJ5V3nvXMnJk182/mFer5buWkSMLrnjnyfjxR6C/6T/Xd71bITlRvScAg6o1eMdCsrPlxnmqlyn7rmXkyPWQe6yo3eZdy8iRKZe9GFC1/ruWkY1fAy8AUK9s3mur/O+Z2qq8+Iyw6cY5IO/mk4K8hyRJauB7wA14CFyQJMlDluUbmcw+AWJkWa4gSVJfYDnQR5KkakBfoDpQHPCSJKmSLMvG3GgSayoJBAKBQCAQCAQCgUAgEOR9GgB3ZFm+K8vyc+APoGsWm67AL2n/3wm0liRJSjv+hyzLz2RZvgfcSfu+XCE6lQQCgUAgEAgEAoFAIBAI8j4lgNBMnx+mHcvRRpblFCAWKPqK5742olNJIBAIBAKBQCAQCAQCgeAdI0nScEmS/DP9G/6uNf0TYk0lgUAgEAgEAoFAIBAIBIJ3jCzLa4G1f2PyCCiV6XPJtGM52TyUJMkCsMe0YPernPvaiJFKAoFAIBAIBAKBQCAQCAR5nwtARUmSykqSlA/TwtseWWw8gMFp/+8FnJBlWU473leSpPySJJUFKgLncytIjFQSCAQCgUAgEAgEAoFAIMjjyLKcIknSaOAIoAY2yrJ8XZKkhYC/LMsewAZgiyRJd4BoTB1PpNltB24AKcCo3O78BqJTSSAQCAQCgUAgEAgEAsH/FNK7FvDGyLLsCXhmOTY30/+TgN4vOXcJsERJPWL6m0AgEAgEAoFAIBAIBAKB4LURnUoCgUAgEAgEAoFAIBAIBILXRkx/EwgEAoFAIBAIBAKBQPA/xH93+lteQ4xUEggEAoFAIBAIBAKBQCAQvDaiU0kgEAgEAoFAIBAIBAKBQPDaiE4lgUAgEAgEAoFAIBAIBALBayPWVBK8Vco1rU/baaOQVCoCdntyZuMfZuXv9e5E3b5dkY2pPH+aiOfC1UTeDQHAsWI5OsydQP4CNshyKhv7jcT4PFkxbTWbNaL/jImo1Cr8dnpwcP1ms/J2g/vRvFdXUlNSiI95zIbZi4kK01GlQV36Tx+fbudUtgw/Tp7NX8f9FNMGMG/+XFq2dCUxMYnJk6dw/dr1bDY1atRg5ZcrsLLKj7e3DwvmLwRg4qQJuLm5IaemEhkVxeRJUzAYDIroGjW6Aw0aVuRZUjJffLGXO7fDs9ksXTaQIkULolaruHrlAd9+c5DUVJnhn7rRqHFlUpKNhIVHs2L5Pp48SVJEF8Ds2VNo0aIpiYlJTJ8+nxs3bmazmTBhJN26dcTOzo46dd5PPz5kyAB69+5GSoqRmJgYZsxYQFiYThFdZZrUo8W0kUgqFdf3HMJ/47Yc7Sq0bkbHVfP4vd8oDDeCAKj3cV+qd2+PnJqKz/IfeHDaXxFNL3jv/SYMnTUVtVrF0R172LX2Z7PyrkMG4ta7O6kpRmJjYvhmxnwiwkx1Pn/991RyqUXgxUss+nSsoroAajdrzOCZk1GpVJzYuReP9b+YlbsPHkCrXl0xGo3ER8ewZvZCIjPVmXWBAqw8sB3/4778vPgLxXTVb96M0bNnoFKr8dy+k99/Wm9WXqt+XUbNnkG5ypVYNH4yfoePAuDSqAEjZ05PtytdviyLxk3mT6/jimkDmDdvTlrsSGTy5Glcv55T7KjOypVfYGVlZYodCxaZlQ8d+gmzZ8+gTp36xMTEKKKr7vtNGD5rGqq0e23H2o1m5d2GDKJd7+4Y0+61r2bMS7/XWnfvTJ/PhgGw7cd1HN+zXxFNL2jU/H0mzJuFSqXGY9sOtqxZa1bu0qAeE+bMonyVyswZOwHvQ0cA0JYozvI13yOpVFhYWLDjly3s+e2PnH7ijXFp1oSPZ01GpVJzfOce9qzbZFbe+aMBtO7VnVSjkdjoGH6YtYCIsHCcq1Ri+PyZ2BQoQGpqKjvXbOD0oaOK6arQtD4dpo1GUqn5a/dBTm383ay8Xu/ONOjbjdS09n3/wi+JuBtCoeIaRu/9hcj7oQA8vHKDA4tXK6YL3jx2FCuuZdK3K5EkCbWlBUe2bsdr2y5Ftc34bhc+/jcpal+AA1+Pz1YuyzJLNhzA969bWOXPx7LRPalevgQAe7z/4sed3gB81qsl3Vu+p6i2ms0aMWjGJFRqFT4793EgS17UfnB/XHt1wZhiJD7mMetmLyIqLeb+cvUMobeDAYgK07F69GRFtTVr0Zzp8+ahVqvY9cc21v+4xqzcMl8+lq76kuo1a/A45jGTRo8m7OEjLCwsWLh8GVVrVEdtYYHHrt2s/+FHRbU5N6lP67Q2/sqeQ5zPkuvW7t2JOn26IhuNPE9M4ujCVUTdfYDKQk27eZPQVK2ISq3i+n4vzmXxo9xQq1ljBs2chEplqs/9Wfygw+D+tEzzg7jox6zL1IZuuXaW0CBTfUaG61g1apJiugAaN2/O5HmzUanU7N22nV/W/GRWXqdBfSbNmU2FKpWZNXY8xw8dTi/7ZtNGatZxIeCCPxOGDldUF7z58wFAEScNHy+cRRGtIzKw+tMJRIZlz5PflH/KJ2v27kStPl2QjakkJyZyfOFqou8+QGVhQeu543GsVgk5NRXfL37gkf8VxXQJBKJTSZANSZLWA6tkWb6Rq+9RqWg/cyy/DZ9KnD6Cj3//gds+Z9I7jQCueZ7grx0HAKjo2pg2U0bwx2czkNQquiydgcfMpRiC7mJtb0dqijFXf1dWbYNmT2HF0DFE6w3M27aJS94nCQu+l24TEhjEgt6DeZ70jJZ9evDBpNH8OGk2N89fZG6PQQAUsLdj+eGdXPvznGLaAFxbulK2rDOuLVpRp44LSxYvolu3HtnsFi9ZxIzpM7h0KYBNv2zE1bUFPj6+rP1pHau+NCXpH300mHHjxjJr1uxc62rQsCIlShRh8KBvqFq1JOPGd2TMqPXZ7BYt3MHTp88AmDf/A5q3qI6P9zUuXrzL+nXHSU1NZeiwNvTr34z167xyrQugRYumODuXws2tG7Vr12DBghn07j04m92JE35s3bqdo0f3mB2/ceMWPXoMIikpiX79ejF16jjGj5+Ra12SSoXrzDHs+XQaCfpI+v72HXd9zhB994GZnaWNNS4DuhN+JTD9WJFypanU3pWtPYZRwLEo3X9azuYuQ5BTU3OtC0ClUvHpvBnMHTKCKJ2eL3f9yvnjvoQG3023uXvjJhN7DOB5UhId+vXmo6njWTF+GgC7N/xCfisr2vftpYiezEgqFR/PmcaST0YRpdfz+fbNXPT241EmH70feJOZvXfyPOkZbn17MmDyWL6eODO9/IOxI7jpf0lRXSqVinHzZzNl8FAidHp+3L2N08e9CbkTnG6jDwtn+dSZfDB0iNm5AWfPM7yLyY9t7e3Zcvww/qf+VFSfq2sLU+xwbW2KHUsW0K1b9vpZvHghM2bMMsWOTRtwdW2Oj4+pY9zJyYnmzZvx8OEjxXSpVCo+mzeT2UM+JVKnZ/Wu3zh73CfbvTa+R3+eJSXh3q83H0+dwPLxUylob0f/0SMY16MfyDJf7/mDc8d9SIiLV0zb5IXzGDtoCAadjp/37eKk13HuZ67TR+EsmjKd/sM+MTs30hDB0J4fkPw8GWsbG347coCTXieIVKgTX6VSMWzuNBZ+PJIovZ7lO7Zy4YQvDzP5wb3AW0ztNZDnSUm069uLQZPHsWridJ4lJfHttDmEh4RS2LEYK3b+SsCp0zyNT8i1LkmlouPMcWwePoU4fQTDf1/DLZ/TRGRq3696Hsd/h6nzr7JrE9pNGcnWz0yxI/phGGs+GJZrHS/T9qaxIyYikjl9h5CSnEx+G2tWemzj4glfYiIiFdPXo+V7DOzQiGnf7Mix3O+vIO6HR3H0+0lcDgpl/tp97Fg+ksfxT/lu+3F2fTEKSZLoMeU7WtWvin1Ba0V0SSoVg2dPZfnQ0UTrDSzc9gt/ZcuLbjE3LS9q3acnfSeN4ftJswB4/uwZs3sMVERLVlQqFbMWLWTYgEHodTq2eezD28uL4Nt30m169vmAuNhYOrRoSYfOnZg4fTqTR4+hXUd3LPPlo3u7DlhZWeHhdQxPDw/CFIpvkkqF28wxbP90GvH6CAb99j3BPqeJytTGB3qe4HJarlu+RWNaTv6MnSNnUNmtBep8lmzqNQwLq/x8vHsDgYdPEBemV0TXR3OmsvST0UTr9Sza/gt/ZfGDkMBbzO79oak++/ak3+SxfJvWhj5PesbMHgNyrSMnVCoV0xbOZ9Sgweh1Ojbv242f13Hu3cmoT92jMOZPmcqgYUOznb9l7TqsrK3p0a+v4tpy83wAMHzpPPb/tInrZ86T38ZasXzthbZ/yidveZ7gatq9VrZFY96fPIJ9I2dSo6c7AL/2Go51kUJ0/X4Jf/QfDbKsmD7B/zZi+psgG7IsD81thxJA8RpViH7wiMePwklNSeHGYW8qtWxiZvP8ydP0/1taW0FabCvXuB6GoLsYgkwPHImxcYoG5nI1q6F/8JCIh2EYk1M4d+gYdVo1N7O5ef4iz5NMHSPBV65RROOY7XvqtW3F1ZNn0u2Uoq1bG3bvMnV6XLoUgK2dHQ6ODmY2Do4O2BYsyKVLAQDs3rWHtm3dAEhIyHhosLGxQVao0WjSpDLHjl0GIDDwIQULWlGkSMFsdi86lNRqFRaW6vRG66J/MKlp9RgY+BAHBztFdAG0bt2CPXsOAnD58jVsbQvi4FAsm93ly9eIyOEB4dw5f5KSTKOmAgKuosmhvt8ETY3KxIaGEfdIR2pKCkGHfSjn2iSbXeNRH+H/8zaMz56nHyvn2oSgwz4Yk5OJe6QjNjQMTY3KiugCqFirBuEhoehDH5GSnMLJg0do2MbVzObqOX+ep12XWwFXKKbRpJddOXOexEw+rCQValVH9yAUw8NHGJNTOO15lHqtWpjZ3Mjko7cvX6NIJm1lq1XBvlhRrvx5VlFdVWrX5FHIA8JDH5KSnMyJg4do0qaVmY3+URh3bwWl3+s50bx9W877nuRZknIj9QDatm3D7t2ZYoetHQ4OWWKHgwO2tplix+6M2AEwZ84sli5dTnpAVoBKtWoQFhKKLu1e8zt4mEZZ7rUr5y6kX4+bAVcpluaDdZs14dKfZ0mIjSMhLp5Lf56l7vtNFdNWrXYtHoaEEBYaSkpyMsf2H6S5Wxszm/BHj7hz81a2diglOZnktBG0lvnyIUnKplUVatVA9+Ah+oem63bK8wj1W7ua2VzL5KNBl69SVGu6buH3HxAeYhoNFGOIJDY6BvsihRXRVaJGFaIfhBHzKBxjSgrXDp+gSkvzOnmWrX3/dx5echM7jMkppCS/vfoEqF+9LPa2Ni8tP37+Bt1c6yBJEi6VSxP3JAlDdBynAm7TtFYFCtnaYF/Qmqa1KnDyUpBiusrXrG6WF509dJS6WfKiwEzX7c6VqznmRW+Dmi61Cb0fwsPQUJKTk/Hcv5+Wbm5mNq3c3Ni3yzSq7KjnIRo1NbWzsixjY2ODWq0mv5UVycnJPFGgY/UFTjUqExMaRmxarnvzsA8VXM19IWuu+yInk2UZS2srJLUKi/z5Maak8DxBmTa1fK3q6B+EEpHmB2c9j1H3b/zgzuV/rz6r165NaEgIj9Ji7tH9B2nxkpibUzt64fQZniY8eSvacvN8ULx8WVRqC66fOQ/As6eJij4fvEo+mf25ynSvFSlXhtDzpjY/Mfoxz+OfoKleSTFt/12kPPrvv4foVPofQJIkZ0mSbkqS9KskSYGSJO2UJMlGkqTWkiRdkiTpqiRJGyVJyp9m7yNJUr3c/q6tphjx+oj0z3H6CGwdsz/k1+3TlZEHt9B6wnCOLPsOgCLOJUGW6fvjMj7ZtoZGQ/rkVo4ZhTWOROsy3gTF6AwUztJpk5nmPbpw5eSZbMcbdnDj7EHlphO8QKPVEpZpuKxOp0Or0ZrZaDVawnUZU33Cw3VotBk2k6dM4vSZU3Tt1oVVq5SZWlCsmB0Rhrj0zxERcRQrlnPH0LLlA9m5ewqJT5/j55e9j7J9hzqcP38nhzPfDI3GEV2mOtXrDWg0L6/Tv6N37674+Z1WRFdBx2LE6zL8IMEQSUGNuR84VKmArdaB+yfPm5+bxYcS9BEUzMGH3pSiGkciM91DkTo9Rf8mqXTr3Z2LfqcU+/2/o4ijI1GZ6jNab/jbhLdlz64EnDTVmSRJDJo2ga1ffKW4rmIaDYbwzNdMh8MbJOKtOnXgxIGDSkoDQKPRZI8dWo2ZjVarITw8S+xIe6h2c2uDXq8jMDD71NHckP1eM1BUo3mpfdve3fH3+zP93IjwV79PXxcHrXmdGnQ6HLQv15YVRyctWw954HHaly0/rVNslBJAEY0DkZm0ResMf/u3t+7Vjb/8so9+q1CzOhaWlugePFREl52mGLH6jL8z9iXte4M+3Rh3cCttJ3yK57Jv048XLqFlxLa1DNn4FaXfq6mIphfkJnYAFNVqWL73d74/cRCPDb8oOkrpVdBHx6EtZp/+WVvUDn10HPoo8+Oaovboo+Jy+oo3orDGwSwviv6HvKhFlrzIMl8+Fmz/hXm/b6Bu6xYvPe9N0Gi1hIdnxDV9lnwHwFGrQZcW+4xGI/Hx8RQqXJijnod4+vQpPhfO4XXmTzatXUdsbKxi2kxtfIYvxBsiKKgpms2uTp8uDDuwmRYThnF8+fcABHn5kZyYxEiv7Xx65Fcu/LKDJIVGYBZxdMjiB3oK/01O5NqzK5cz+YFl/nws2vELC/7YqHh9Omo16DPVp0Gnw/E1Yu7bJDfPB1rnUjyNj2f018tYsGszfSaPQVIp96j9KvkkQK0+XRh84BeaTRiK7/IfAIgMCqZci8ZIahV2JbQ4Vq2I7RvmyAJBTohOpf8dKgM/yLJcFYgDJgKbgD6yLNfENBXys3ch7OK2ffzQcRAnvlpHs+GmodMqtZpS79Vg34zP+WXwOCq3aoZzwzrvQh6NO7enbI2qHNq41ey4fbGilKxUnmsKj4RQipUrvqRJ42bs2+vB4MEf/uu/P33aVj7o9SWWlmpc6pQ1K+s/4H2MxlSOe+W9+dxdunSgRo1qrM8yh/6tIUk0nzwCvy9/+mfbd4hrF3cq1KjG7ixrMuQFmnXuQLkaVdm/wVRnbfv15pLfn0TrlXu4V5IiDsUoW7kSF04qO/Utt1hZWTFq1AhWrVK+M+51aNmlIxVrVGPX+k3vVMerYgjXMbBDF3q5uuHesztFimV/oPw3aN7ZnfLVq7Fvg3nsKuRQjLFfLOK7mfMVG7X6qpzftpevOw7k2FdraTHcNG08PiKaVW37sqbPcA6v+IFey2aTv8DLR+68TbLGDoAonZ5p3foxvl03mnfthH3RIu9EW16mSVpedHDjlvRjE9p0Zd4Hg/lhyhwGTJ+AY6kS71BhBjVdapOaaqRlg0a0a9acwcOGUrJUqX9dx6VtHqzr9CF+X62n8TDTtDKnGlWQjan86NaHde6DqP9hL+xLOP3r2pqm+cGBDRn1Oa51F+b0Hsx3k+cwaMbEPFOfeYmszwcqtQWV6rqwbcU3LPhgCA4lS/B+t47/uq4r2zz4pdNg/vxqPfWH9Qfg+t7DJOgj6PfbDzSf8hnhl2/87WhqgeB1EZ1K/zuEyrL84glmK9AauCfL8oux078AzXM8Mw1JkoZLkuQvSZL/2rVr/84UgHh9pFkvuJ3GgXjDy9/4XT+UMT0uXh/Jg4tXSXwcR0rSM4JPnkNbteI//uarEqM3UCTTW5HCWkdiDBHZ7Ko1rk/n4R/x1ajJ6UPiX9CgfRv+8vLFqNBaT4M+HISn5wE8PQ9gMBgoXjwjsdBqtej05otG6/Q6nDK9qXNy0qLXZV9Yeu/efbTv0O6NdXXpWp81a0ewZu0IoqPjcXDMGJnk4GBHZOTL35QmJ6dw+s9bNGlaJf1Y23YuNGpUiaVLdr+xphcMGNCbfft+Y9++34iIiDQbkaHROKLXZ6/Tv6NJkwZ89tknjBgxgeRkZRaFTzBEYqvN8IOCjsVI0Gf4Qb4C1hSt4Eyv9SsZ4rkFba2qdP56IY7VKpGQxYcKahxI+Bsfel2i9AaKZbqHimk1ROXQEVO7SUN6fzaUxSPGZfODt0W0wUDRTPVZROOYYydRjcYN6P7px6wYOTFdW0WXmrTr/wHfenkwYOp43u/qu2tfAgAAIABJREFUTr+JoxXRFanX4+iU+ZppiXjNzitX9/acOuqFMSVFEU2DBg3E09MDT08PDIaI7LFDZ74+h06nx8kpS+zQ6ylTpjQlS5bi0KEDnDrlg1ar5cCBfTlOI31dst9rjkTps68b4tKkIX0+G8rCTPdalN6Ag9M/36dvSoTOvE4dtVoidK+/pkmkwcDdW0HUrp/rgb7pROsjKJZJWxGtY45/e63GDeg54hOWjhxv5qPWBQowa83X/PbV99y+fFUxXXH6SOwzjf6x/4f2/dqhjOlxxuRkEmNN7UZ4YBDRoWEULVNSMW25iR2ZiYmIJPR2MFXq/rsvtDRF7NBFZoyk0UXFoSlih6ao+XF9VCyaospNIY/RR5jlRUVekhdVb1yfLsOHsDpLXvTCNuJhGDfP/0WZqspN1dbrdDg5ZcQ1TQ75jkGnR5sW+9RqNba2tjyOiaFj166c8vEjJSWF6KgoLl30p3qtWoppM7XxGb5g6+hAgj7qpfaBh72pmOYLVTu04t7pC6SmGHka/ZhHAdfRKjQlKdoQkcUPNMTkkBNVb9yArp8O4cuRk15Sn48IPP8XzgrWp0GnR5OpPh21WgxvEHPfBrl5PojRGXhwM4iIh2GkGo38ddyXMtWqZDv3TfmnfDIrtw77UD7tXpONqfitXMNvfUZwYPw88tkW4HGIMiNX/9O861lu/39mv4lOpf8hsr6efPzaXyDLa2VZrifLcr3hw/95t4Ww6zcpUqYE9iW0qCwsqNa+JUE+5lOKCpfOePNRsXkjYh6YFk68++cFHCuWxcIqP5JaRel6tYgMDkEp7l0LRFOmFMVKOKG2tKBhBzcueZvv3la6aiU+mjedr0dPIT46++5HjTq25aynclPftmzegrt7J9zdO3H06DF69OwOQJ06LsTHxxORpVGLMEQQn5BAnTouAPTo2Z2jx0yLXjs7O6fbubVtQ3CmxXBfF499FxgxfA0jhq/hz1M3cXOrDUDVqiV58uQZ0dHmaxNYWeVLX2dJpVLRsFFFQh+YGr369SvQp09T5sz+nWfPct858euvO+jatT9du/bHy8uH7t1Nb4Rq165BQkJCjmsnvYyqVSuzcOEsRoyYQHQO9f2m6K/folDpEtil+UGl9q7c9c2YMvA84SlrXXvxs/sgfnYfhO5KIPvHzcVwI4i7vmeo1N4VtaUldiW0FCpdAv21W4ppu331OsWdS6MpWRwLSwve79iOc8d9zWzKVa3MyIWzWTxiPLEKXpd/IvjqDbRlSuFQojhqSwuauLflYhYfda5amWHzZ7Ji1ETiMmn7buocRrfuxJg2Xfj1i684uc+T31d9p4ium1euUaJMGbQlS2BhaUmrjh04c9z7tb6jVeeOnDjgqYgegC1btuLu3gV39y6m2NEjS+yIyBI7IiKIj88UO3p05+hRL27dCqJevYY0a+ZKs2au6HQ6OnXq+lp+9DKCrl6nhHNpNCVLYGFpQfOO7XO416oweuEcFo4YR2x0dPrxi6dOU6dpYwra2VLQzpY6TRtz8ZQy01MBAq9cpZSzM04lS2JhaYlb546cfMUd+Ry0GvLnzw+ArZ0dtevX5cHde/9w1qtz5+p1nMqUwrGEyUebubfD/4T5dStbtTKfLpjFspHjzfzAwtKCqd99ic++g5w9ouwOgy/a90IltKgtLKjRvhU3s7TvRbK071Fp7btNYfv0KSGFSzhRtHQJYh4qtztSbmJHEY0jlmn1WcDOlip1axN2775i2l6FVvWrstfnErIsE3DrAbY2VjgWsaOZS0VOXb5DbEIisQmJnLp8h2Yuyr1su3vN/Lo16tCWv7xPmtmUqVqJIfNmsHr0ZLPrZmNni4WlJQAFC9lT8b1aZgtC55Zrl69QuqwzJUqVxNLSEvfOnfE+Zr7Jh7eXF1179gSgrXsHzp02tbPhjx7RsEljAKytraldpw73goNRivDrtyhcOiPXrdLelTu+5r5QKJMvlG/ekJi0aahxOgOlG5jisKW1FU41qxJ9z3wTjzfl7tUbaMuUzqhPd7dsflCmaiU+mT+DL0dN+tv6rKRwfd64coVSzmUonhZz23buiJ/Cu6C+Kbl5Prh77QY2trbYFi4EQNVG9cwW+M4t/5RPgvm9VrZ5Qx6nxV0Lq/xYWFuZ9Dd6D9lozLZhjECQG8Tub/87lJYkqbEsy2eA/oA/8KkkSRVkWb4DDAJ8//YbXhPZmMqRz7+l34/LUalVXN57iMjgEJqP/IjwG7e47XOGev26Ubbhe6SmpJAYl4DH7OUAJMUncG7zTj7+7QdkZIJPnufOSeV2WEs1Gtm6ZCWT132DSqXi5J79hN25R/fRw7l3PZAA75P0mTyG/DY2jFr9OWDaIvfr0VMAKFbciSJaR25d+EsxTZnxPuFNy5au+Pp5k5iYxJTJU9PLPD0P4O7eCYA5s+ey8kvTtuA+Pr74ePsAMG36VMqVK0tqqsyjR4+YNTP3O78BnDt3mwYNK7J561ieJSWz4ot96WVr1o5gxPA1WFlbsmhxPywtLZBUEpcD7rHfwx+A0WPdsbRUs3yFaTpe4I2HfP3VAUW0+ficokWLpnh57SMxMYkZM+anl+3b9xtdu5qGAE+ZMpbOndtjbW2Fn58nO3bs5dtv1zJt2jhsbKz55hvTPRgWpuOzzybmWpdsTMVn6Xd0+3EpkkrFjb1HiA4OodHIweivB3HPN/taXS+IDg7h9lE/Bu5Zj2w04v35t4ouWJ9qNPLTwmXM3/AjKrUKr537CL0TTP+xn3Hn2g3On/Dlo2kTsLaxYdo3KwCICAtnyWembbCX/raRkuWcsbKxYaPfEb6dOZ9Lp17+97yutp8Xr2Dm+m9RqdR47/bg4Z279B7zKXevBXLR248BU8aS38aa8auXARAZrmflqNzX2T/p+nbBEpb/vA61WsWhHXu4f/sOH40bTdC165w+7k3lmjVY+OM3FLSzo3Grlnw0bjQfd+gCgKZEcRy1Wi6fu/BW9Hl7+5hih+8JEhMTmTJlWnqZp6cH7u4mHXPmzGPlykyxw0fR8J+NVKORHxcuZVHavXZs514e3Alm4NiR3L52nXMnfPlk2gSsbGyYkX6v6Vj42TgSYuP444e1rN71GwC/f/8TCbHKrSVjNBpZOW8hX2/egEql5sCOndy7fYdhE8Zy8+o1TnqdoGqtmixf8z229nY0a92SYePH0r9dR8pWKM/YWdORZZAk+HXdRoJvKbd4cqrRyPpFy5mz4XtUKhUndnkQeucufceM4M61G/h7+/HhlPFY2dgw6asvANP238tGTqBJ+7ZUq1cH20L2tOzeGYDvZszj/s3c60s1puL5+TcM+vELVGoVl/YeIiL4Pi1HDiHsxi1u+ZymYb/ulGtYF2NKCklx8eyZbfLTMnVr02rkEIwpKchyKvsXryZRoXVkTNrePHaUKF+WgVPH86JCD2zcSuht5TogACau+oPz1+4RE/+E5kOXMaZvG1KMphHP/do1pEXdyvj+dQu3kV9ind+Sz0ebOkoK2dowsndLek01rcczqncrCv3Ngt+vS6rRyOYlK5iSlhf57dnPozt36ZGWF13yPknfyWOxsrFmzOqlgCkvWj16MiXKOTNk/gzkVBlJJXFg3WZFH6aNRiNL5s5j7ebNqNQq9mzfQfDt24yeOIHrV67i7eXFrm3bWLZ6NYd8vYl9HMvk0WMA+H3zFhavXMG+Y0eQJIk9O3YSdFO5NeNkYypeS7+l14/LUKlUXN17mKjgEJqOHIzuehDBvmd4r29XyjR6j9TkFJLiE/CcY/LVS3/so8PCKQzZvR6QuLbvCBG3lbluqUYjmxZ/wbT136BSqfHd7cGjO3fpOeZT7l0L5C9vP/pPGYeVjTXj0v1Ax6pRkyhRriyfLJhB6v+xd+dxUVX/H8dfh01UwBUZXCG13MXMyiXBBVQUSy1tM/22WKlp+TXXxLVNLfuVbaZl2ua+oKDsqJX5tdxXVMQFBtAUcYfh/v6YYR9U5Bpjfp6Ph4+auefOfXPP3HPunDn3TnY2dnZ2rP3me10HlUwmE7MmT+WzRd9hb2fP2mXLOBYfz6tvjeTAnr1sioyiSYvmzPrqS9wqufFYl84MeXMkA7r1AOCbpT/jdV99yleswPrftjB93Hi2btp8k63emtJ8PtCys1ky61PGfDsXlCJx30Fil6/WJRfc2vlki6cfp+6jrcjONHE1I4Nwy3utfNXK9PnyfbRsjYupZ9g48UPdcgkBoP7p6+vFP08p5QVswDyQ1BrYj3kQqS0wG/Pg4v+A1zVNu6aUigVGa5q2/QYvq73bossdTH17Ju6OYnCTR8o6hlUL9/+BV737yjqGVccTj9G185SyjlFEZPQUAO6/v3XZBrHi8OE/Afi/lv43KfnPG7krgt73+5R1DKvWHt7J0431uzxIT78c2E7nBk3KOkYR0UfMN7r38mpQxkmKOn7cfLP9nve3LOMkRa0/bP6lyke9be8XbrYmHKZfowfLOoZVKw7+xeQWnco6hlVTd8fYZPvxywHL6dK+FWUbxJqm5kGpgU0eLuMgRS3ev42m9bxvXrAM7EtMYFbLrjcvWAbe3hXJc43blHWMIn48YP6y5CFv2+urtieY+ypb/IywcL/5S3NbPZ/krr0g6+a8vBrY5EDI8eNH7rp9LjOV7h1ZmqY9X+i5KKDIzQI0TfP7RxIJIYQQQgghhBDiriX3VBJCCCGEEEIIIYQQJSYzle4BmqYdB5qVdQ4hhBBCCCGEEEL8e8hMJSGEEEIIIYQQQghRYjKoJIQQQgghhBBCCCFKTC5/E0IIIYQQQgghxD1D/Xt/2O4fJzOVhBBCCCGEEEIIIUSJyaCSEEIIIYQQQgghhCgxufxNCCGEEEIIIYQQ9w4ll7/pRWYqCSGEEEIIIYQQQogSk0ElIYQQQgghhBBCCFFiMqgkhBBCCCGEEEIIIUpMBpWEEEIIIYQQQgghRInJoJIQQgghhBBCCCGEKDH59TchhBBCCCGEEELcMxTy6296UZqmlXUGcXeSN44QQgghhBBC/Hv9a0de7vN+wCY/zx5LOHTX7XOZqSRu27yW/mUdoYghuyJ42LthWcewaltCPF71vMs6hlXHExO4z7txWcco4ljCAQAaPfBIGScp6uChPwDY0/3RMk5SVPMNW/Grb3v1CRB79ADN691X1jGs2pN4zCaP0eOJCQDUr1evjJMUdTQxEYAWXrZXp7uPHwOgUT2vsg1ixcHE4zbZdoC5/VjoY3v9O8DgnREYh7Up6xhFGD7/HwADmzxcxkmKWrx/m/l/9q0o2yDWNO1nk20umNvduHYdyzqGVb6/bbLJPj72qPmcraMNZttkyRb/pO21Hw2Xm9uP9Jm9yjhJUZXGrCvrCOIuIYNKQgghhBBCCCGEuIfI7aX1IntSCCGEEEIIIYQQQpSYDCoJIYQQQgghhBBCiBKTy9+EEEIIIYQQQghxz1Dqrrsfts2SmUpCCCGEEEIIIYQQosRkUEkIIYQQQgghhBBClJgMKgkhhBBCCCGEEEKIEpNBJSGEEEIIIYQQQghRYjKoJIQQQgghhBBCCCFKTH79TQghhBBCCCGEEPcOJfNr9CJ7UgghhBBCCCGEEEKUmAwqCSGEEEIIIYQQQogSk8vfhBBCCCGEEEIIcc9QMr9GN7InxR1Vu91D9F/zLQNCFtLyxQHFlvPu0oEhuyKo3uR+AMpVcqXX/Fn85/e1tB8//I5ke7TjYyyL2siKmEheeG1IkeWtHm7DopDV/BZ/gM49uuc+37BxYxasWMovG0P5MSyErj0Ddc82ecpkYuNiCNsQRtNmTa2WadasGRs2hhEbF8PkKZNznw8MDCQ8YiPHEo7SvHlz3bMFT55AdMwGQsNW07Rpk2KyNSEsbA3RMRsInjwh9/lPP/uYdetXsm79SjZtjmTd+pW6Zps4cRQbw5ezZu0PNGnygNUyb775GjGxa/nzrxirywMCOnHw0B80a9ZIt1wurR/l/vlLuP/bZbj3H1hkeWX/njT+JYwGny+iweeLqNK9d+4yw4vDaPjVjzT86kcqdeyqW6YcD3fswKKIUH6M3sCzr75cZHmLNg8xb80Kog7twbd7QIFlNTw9mbVwPt9vXMfCDSEYatXUNVt7346sjY5kfVw0L73+WpHljk5OzJr7Kevjovlx9Upq1q4FgIODAzM+msXKjWGsiQrnpaGv65oLbPcY7ejrS0R0NNFxcbz6etG/28nJiU/nziU6Lo4Vq1dTq3ZtANp36MCadesI3biRNevW0bZdO11zgaU+oyJZFxvNi8XU58y5n7IutlB9OjoybdZMVmwIY1nYeh569BHds3Xw9SUsOoqNcbG8YmW/OTo58fHcuWyMi2VJvv0GcH+jRvyyaiUhEeGs3bgBp3LldM1mq+1HrXYP0Wf1t/Rdu5Dm/ym+f6/XpQODd0ZQzdK/V2/2AL2XfJX7r26n9rrmAnBq0pbqwcupPmUlFf0HFVnu2u8tqo3/kWrjf6R68HJqzIrOXeb8SE+qT15B9ckrcH6kp+7Zmnd4lJnrlzF7wwp6vfxCkeXdBz3LByG/8O6qHxn37edUq2nIXfb9nt+ZsfIHZqz8gbfmztY11/i5K2g7+F16jfzE6nJN05gxPwT/obMJeutT9h09nbtsVcxfBAz7iIBhH7Eq5i9dc+VXmnZ3/ITxREVFErYhjK+//go3N1fdclV55GHa/PwDDy/9iToDnyuy3COwO23Xr6X1wgW0XrgAQ5D5fVXO4MGD382n9cIFPPTD93g+0bvIuqVhy/37wx078ENEKD9Fb+A5K9latnmI+WtWEG0lW8zhvSwIWcmCkJW8//XnuuYCqODTlnr/t5x6n62kyhNF2w8Al7ZdqTtnCXXnLMEwcjoADtUN1Jm5mLqzfqTunCVUCuirezYH7wdxefkrXF6ZR7lHniyy3Lnzy7gM+tT87+WvcRvxS94y3//g8uLnuLz0Jc5din7uEaI0ZKaSuGOUnR0dJrzB+lfHcinlDH1+mkti7O+cP3aiQDnHCuVp9lwfUnYfyH3OdD2T/32+kKoNvKnawEv3bHZ2doyZNoXhAweTajTy/ZoVbI6MJuHIkdwyxtNJTHt7LM+/8lKBda9dvcKU/77NyeOJVK9Rg0Uhq9i6aTMXMzJ0yebXyQ9vby/8fDvRqpUP786YwRNP9ClSbsa7Mxg/bjw7duxk4fff4efnS2xsHIcOH+K1V1/nvffe1SVPgWx+HfHyqkfnTt3x8WnJ9BnB9O3zdJFy02dMZvz4YHbu3MW3332Nr+9jxMVtZsQbo3LLTJg4howLF3XL1rFjO+p51aFbwJO0bNmMyVPGMKD/S0XKxcRs4ccfl7Fh4/IiyypWrMDAFwawc+de3XJhZ0fNYaNJmDCCrDOp1P/0Oy5s3cy1E8cLFEvfFEnSFx8VeM714XY4N3iA+KEvoBwduW/WF2Rs/43sy5d1imbHyCmTGD3oJdKMKXy1aim/RsWQeORobpnUpCQ+GDOeAa+8WGT9CbM/YPEXX/Pnr79RvkIFsrOzdcmVk23i9KkMee4FjEYjv6xdTUxkJMfi847RvgP6cyH9Aj19O9M9qBdvjRvL28NHENAzECcnJ/p264GzszOrI8MJW7uWpFOnb7DFW2erx6idnR1Tpk9n0HPPYTQaWbV2LVGRkRyJj88t89SAAaSnp9PZ15deQUGMHTeOEcOHc+7cOV558UVSU1O5//77+W7xYto/ot/gjZ2dHROmTWXI8y+QYjTy89rVxEZEcixfm9u3v7k+e/mZ6/PNcWMZM3wE/Z42tzH9uvegarVqfLHwW57p/QSapumWLXj6NF587nlSjEaWrV1LdGQER/O9154c0J8L6el08/UjMCiI/44bx6jhw7G3t2fWJ3MY89YoDh04QOXKlcnKzNQllyWcTbYfys6OR8a/QfhrY7mccoZeP87lRNzvpBfq3x0qlKfxs31Iy9e/nztynJBnh6KZsilfvSq9l37FyU2/o5l0aj+UHW79x3Dus+GYzqdQbcz3XN2zCZMxIbdIxoo5uf9fwbc/DnXMX0KoCm64BL7C2Q9fAE2j2rjFXNu9Ce2KPv27srNj0Dtj+PDl4fydksq0Jd/zV8xmko7mZUs8cIjgpwZx/eo1ugzox9P/fYPP/zsRgOvXrvFO3+d1yVJY304P8nyPRxn76TKryzf9dZjjyWcJ//y/7Dp8kinz1rDsw6Gcz7jM3KVRrJg5DKUUfd+eS+c2jankUl7XfKVtd7ds3sLMD2diMpkYN24sQ4cO5YMPPix9MDs7Go5+i90jR3EtNY0HF8zj7OYtXD6eWKBYWlQ0Rz4uOGB3/cxZdgx5HS0zE7vy5Wnzw0LObvmV62fO6hDLtvv3t6ZMYpQl27xVS9lSKFtKUhLvjRnP01ayXbt6lZeC9B+wsYTD/eUxnJ42nKy/U6j7wfdc2r6J66fyjlFHQx2q9B3MqXdeJvtSBvZuVQDIOn+GUxNeRMvKRDmXp97Hv3Dxf5swnTujTzZlh3PX17m09B20jLO4vDCHzCN/kH32ZG6Rq9Hzc//f6cFe2NeoD4B9zUbY12rMxe/eAKDiszOxr9Mc08k9+mQT9zyZqXQDSqknlFLWp2KYl7+mlCr6NVPeci+l1LO3sd2FSqmiw883XueGWW+yrp9Sat3trHsj7s0eIP1kEhmnjWRnZXF0QyxefkW//X5o2GB2frcE07Xruc9lXblKyo59BZ7TU9OWLTiVmEjSyZNkZWYSHrKejv5dCpRJPn2aIwcPkZ1d8IPLiYTjnLScLJxJTeXc2bNUqVZVt2wB/v6sXGGewbNjx05c3dxwr+FeoIx7DXdcXVzYsWMnACtXrCQgwPxNztEjRzl27JhuefLr6t+ZVSvXALBz5y7c3Nxwdy+Uzd0dFxcXdu7cBcCqlWvwD+hS5LUCA7sTErJet2xdunRkzeowAHbt2oubmyvu7tWKlNu1ay9padZP2EaMfJX53yzm+rVruuWq8EATriefItOYhJaVRXpcBG5tO97SuuXqenN57w7INqFdu8rVhCO4tm6rW7ZGLVtwOvEEySdPkZWZSfS6UNp37VygjPF0EscOHUYrdEJZr0F97B3s+fPX3wC4cvky165e1S1bc5+WnDieyCnLMRoWso5O/v4FynTy78raFSsAiAgN45H25vZF0zTKV6iAvb095ZydyczM5GKGfgOYtnqMtvTxIfH4cU6ePElmZibrQkLoWmifdfX3Z6Vln4WFhtK2vXmWyP59+0hNTQXg8OHDODs74+TkpFu2Zj4tOZGYyGlLfW4IWUengILZ/AIK1adltlT9hg3Y9pv5ffb32bNkXMigaQv9Zni18PHJfa9lZmYSGhJCF/+C34x38Q9gtSXbxtBQ2lrea+07Psahgwc5dMA8aHL+/HldP3zZavtRvdkDZJxM4qKlf0/YGEtdK/37g8MGs3fhEkzX8/py09VruQNI9k5OoM/YYC5Hr6aY0k5iOnsaTFlc/TMC5xa+xZZ3fqgbV7dvBKBc40e5fvAPtMsX0K5kcP3gH5Rrol+bW795U1JOnCLtVBKmzCy2hoXTunPB+jyw7U+uXzX3QUd276GqRw3dtn8jbZp6U8m1QrHLo7bt5wm/Viil8HmgLhcuXSX17wts2RlP+xYNqOxagUou5WnfogGbdxzWPV9p293NmzdjMpks6+/A4GlAD25NGnPl1GmuJiWjZWWRGhlFtcc63NK6WlYWmmUQ2s7RUddforLl/r1xoWxR60LpcIvZ7jTnBk3JNJ4kK/U0ZGWR8WsEFdsUbD/cuj5B+oZlZF8yDzabLpwzL8jKQssy16dycNL9l8XsPe8n+3wyWnoKZGeReWATjg0eLba8Y2NfMg/E5T5WDk5g7wD2jmBvj3bpnK757kZKKZv8dze6pwaVlFlJ/uYnAKsDNUopB03TvtI0bdEN1vcCSjyodJuKzVpWKtaoziVjWu7jS6lnqOhRvUCZao0a4GJw5+Tmbf9oNneDgZTk5NzHqUYj7gaPEr9Ok5YtcHB04lTiiZsXvkUeBg+SkvKyGY3JGDwKnvwYPAwkG/PKJCcb8biN/CVl8PAgOdmYly3ZiMFQ8ITXYKiBMTklr4wxBYNHwWxtHn6Is2fOcrzQN3ml4eHhTrIx/3ZT8fBwv8EaBTVp8gCeBg/i4n7VLROAQzV3MtNScx9nnknFsVrRXG4dOtHgyx+oO/E9HKub9+nVY/G4tG6LKlcOe7dKuLRojaO7fvXs7lGDtHz1mWZMwd3j1l6/jrcXFy9kMO2LT/lm7QpeGzcaOzv9upQaBgPGfMdoSnJykfd4DYMHRsuxYjKZuJiRQeUqVYgIDePK5ctE/28r4b9v4ft533AhPV23bLZ6jHoYDCTn22fG5GQ8DIVyGQwkJyUB5n2WkZFBlSpVCpTpHhjIvr17uX5dv0F9Dw8DKUkF67NGofeah4dHbpn89XnowAH8unbF3t6eWrVr07h5Mwye+l2K4WHwIDk5KfexsZj3WuH9VrlKFby870PTNOYvWsSK9et46dVXdcsFttt+VCjcv6ecoUKNgv171UYNqODhzikr/Xv1Zo14fMU3PL58Hr/P+D/9ZikBdpXdMZ3L6wtM51Owq2y9L7CrasC+Wk2uH9puWbdGwXXPpWJXWb9BnSoe7vydr5/625hKlRrF91O+fXuze/PvuY8dnZyYuvR7Jv+8gNZdih8ouxNS/r6AoXql3MeGam6k/H2BlLMFn/eoVomUsxd0376e7e5T/fsTGxtX5Pnb4eRenWspecfotbQ0yrkXrdPqfr60XvQdTd6dRrkaee+pcjVq0HrRdzy6ejknf/hJl1lKYNv9e3WPGqTeZjYAp3LlmLd6GV8u/4UO/kW/tCwNh6ruZJ3JO0azzqbgULVgfTrVrIujZ11qz5hP7fe+pYJP3sCzQzUP6n70E95fr+PcmkX6zVIClEs1tIy8djc74wz3apurAAAgAElEQVTKteiXpwDKzR27Sh5kndgNgCnpIFknduM2dBFuwxaRlfAX2X+f0i2bEP/6y9+UUl7ARuAPoDUwUyn1GlAOOAr8R9O0i0qpD4DeQBYQDqy0PPZVSr0D9AMWADuBDsDPSilX4KKmabOVUg2ArwB3wAQ8BXwANFZK7QS+Bz61POdn2f7nmqZ9rcxDkp8B/sBJ4IZn8reY1dWSp4Ll73xR07RzxeTM/9ptgHnAk5qmHeVOUoq2o18jNnjWHd3MnVLN3Z2pH89i6n/H6nYZxr2id1BP1uo4S6m0lFKMGzeS8eOnl8n2M7ZuJj02HC0zk6qBT1B7dDAJ44Zz8a9tlL+/CfU//oas9PNcPrAXLdtUJhkLs7e3p3mb1rwS1JfUpGSCP/2Y7v36ELpsRVlHo5lPS7Kzs+nycFvcKlVi4bIlbN3yK6dOnrz5yve4hg0bMmbcOAY/f2cusbkdq5cu474GDfg5ZA3Jp0+z68+/MNnIceDgYE/rNm14Mqg3V69cYeHPP7Fv7x62Wr7h/yfYZPuhFA+Pfo0txfTvZ/YeZE2/V6jkXZcO09/m9K/bMF3X8bLBW1S+dQBXd0SB9s/OhrgV7YK6492sMe++kHf/sbe6Ps651DTca9dk/HdfcPLwEVJP6nNZ771i2PBhmLKyWL1q9T+2zbNbfiM1IgotMxPPx3vzwKQJ7H7jTQCupaby5wv/wal6NZp+8B5pMbFknivbGSS23L8D9O/YhTMpqXjWqc0nPyzk2KHDJJ345/p3ZW+Pk2cdTk1+FYdqHtSeNo8To54m+/JFss6mcOK/z2JfpTo1x8zm4u9RmNL//sey5XBs1JHMQ7/mtm12lT2xq1aHC18OBqBi/xlk1f4L06l9/3g28e90r8xUagh8AfgCLwFdNU17ENgOjFJKVQP6AE01TWsBzNA07TdgLfC2pmk++QZYnDRNe0jTtI8KbeNHzINELYF2QDIwDthsWX+OZdvpmqa1AdoAryilvC3bfgDzTKMXLOtbVYKsi4CxljJ7gJy7FVrLmfPa7TAPOD1ubUBJKTVEKbVdKbV93rx5xe9ti0upZ6hoyBvdr1ijOpdS8kbsHSuWp2oDL4Lmz+aZ0MXUaNGYbv83Lfdm3XdSmtGIh6dn7uMaBgNp+b49vJmKLi7M+fYbvpw9h707d5Y6z8AXBhIaup7Q0PWkpqZRs2ZeNoPBE2OKsUB5Y4oRT0NeGU9PAyklyF+ibAOfzb25dmpaGp75powbPA0YjakFyhuNqRg8875xMhg8MKbkZbO3t6db966sXxdW6mzPPvskq1YvZtXqxaSmncHTkH+7NUhJSbvB2nkqVqxAw/vrs2jRF0RFraKlTzO++HK2LjfrzjqbhqN73reSjtVrkHm2YC5TxoXcKfB/b1hL+YZ52037ZSFHhr3A8QkjQMH10/rNiktLScU9X326GzxIS7m191GaMYUj+w+SfPIUJpOJLRFRNCzmxu23I9VoxJDvGPXw9CzyHk81pmCwHCv29va4uLpy/tw5ej7emy2xcWRlZfH32bPs/PPPUl8uZcvHaI4UoxHPfPvM4OlJirFQLqMRz5rmWT729va4urpyzvIBxmAw8OW8ebw9ahQnTuj3PgNISTHiUbNgfaYWeq+lpKTklslfnyaTiVnTZ9A/sBcjX3kVVzdXEo8loJcUYwqe+WY+GYp5rxXeb+fPncOYbGT7H9s4f+4cV69eJS4mhibNmumWzVbbj8uF+3eP6lxOLdi/V67vRff5s3kydDHuzRvT5ZNpuTfrzpGecIKsy1eo3MBbl1wA2efTsK+S1xfYV/Yg+7z1vsC5dQBXt4fnWze14LpVapB9PtXaqrflXEoaVfP1U1UNNTiXWjRb07Zt6D3kP8wZNrrAPbpyyqadSuLgtr+o19j6D1LcCR5V3TCeyZvxaTx7AY+qbnhUK/h8ytl0PKq56bJNvdvdJ5/sR5cunRk58k1d8gFcTztDuXyXKJZzd+daWsE6zbqQd4wmh6zD9YGi57nXz5zl0rFjVPJpoUsuW+7fz6SkUuM2s+WsD5B88hQ7/9hGwyaNdcuW9XcaDtXzjlGHah5k/V2oPs+mcmn7ZjCZyEpNIjP5BI6edQuUMZ07w7WTRynf2Ee3bNrFsyjXvHbXzrU6Wob1mW1OjTsWuPTN4f62mJIOQeZVyLxKVsJ27Gvq94M0Qtwrg0qJmqZtBR7FPHDzq2X20CCgHpAOXAUWKKX6Aje6i+WSwk9YZizV0jRtFYCmaVc1TbP2GgHAC5Zt/wFUwzzg1RH4WdM0k6ZpSUC0lXVz3DSrUqoSUFnTtJzW5Hug401yNsY8QylI0zSrZ52aps2zDKg9NGTIzX81IG3fISrVrYVrLQN2Dg7U7+5HYlzeNO7Mi5dZ5PckPwcO5OfAgaTuPsDGkcGc2a//tfiF7d+9hzpeXtSsXRsHR0cCgnqyOTLqltZ1cHRk5lefE7pyNdFhG3TJs3jRYgIDexIY2JPw8HD69jPfgLBVKx8yMjJIK3TSmZaaRsbFi7RqZe6s+vbrS3hEhC5ZimRb/BO9evalV8++RIRH0afv4wD4+LQ0Zyt08pSWlsbFixfx8WkJQJ++jxMZkfeWbt++LUePJmDU4QP2Tz8tp88TA+nzxECiIjfx+BM9AGjZshkZGReLvXdSYRcvXqLto93o0qUPXbr0YdfOvQx9fTR79x4sdcbLhw5QrmYdHD08UQ4OVPL158LWzQXKOFTNm77s9uhjeTfhtbPD3tV8cu7s3QBn7wZk/KnfpaKHdu+htlc9DLVr4eDoSOdegfwWZf1X8Qo7uHsPLm6uVKpqvnTqwbaPFLjJZmnt3bWbet5e1KpjPkZ7BPUiNiKyQJnYyCh69+sHgH9gD7b9Zm5fkk8n5d6Pp3z58rRo5UPC0dLdw8iWj9Ecu3ftwsvbm9p16uDo6EivoCCiCm0zKjKSvpZ91iMwkN8t9ypydXNj/nffMfPDD/lz+3bds+3btZt6Xl7UsrS53a3VZ4T1+nR2dqZ8efNNfx/t0AFTlqnADb5La8+uXbnvNUdHRwKDgogutN+iIyN4wpKtW2AgWy37bUtcHA0bPYCzszP29va0eeQRjua7MXpp2Wr7cWbfIdzq1sKlprl/9+7mx8lC/fsvnZ5keeBAlgcOJG3PAaLeDObs/sO41DSg7M2nnxU9a1DJqy4Xk4zFbarEMhP3Y1+jLvbVaoK9A86t/bm2Z1ORcvYe9bCr4Epmwu7c564d2IpTo0dQ5V1R5V1xavQI1w5s1S3bsb37MdSrg3utmtg7OvBojwD+iilYn/Ua389/Jo9nzvDRXPg7b8ZKBTdXHBwdAXCpXImGD7bg9FH9BldvpnObxqyO3YGmaew8dALXCs7UqOpGB5+GbNl1hPSLV0i/eIUtu47QwaehLtvUs9319e3Iq6+9yssvvcJVHe8PdOHAQcrXro2zp/kYrdG1C2e3FLyM3qla3jFarUP73Jt4O7m7Y2e5d52DqwuVWrTgSqI+M25suX8/aMnmacnWpVcgv95iNhc3NxydzMdBpSqVad76QY7rmO3qkf04edbFoUZNcHDAtb0/l/5XsP24uC2O8k0fBMDOtRKOnnXJTDmNQ9UaKCfzr3/aVXSlfKOWXE/S7zYPpuTD2FepiarkAXYOODbuSOaRP4qUs6taG+Xsgikp7xxWu5CGQ51m5vs82dnjUKd5gRt8C1Fa//rL3ywuWf6rgAhN054pXEAp9TDQBXgSGA50Llym0GvdDgW8oWnaxkLbvuXfpNc0LasEWUsiGXAGWgFJNyl7SzRTNr++P5ceX76PnZ0dh1Zv5NzRRFoPHcSZfYcLDDBZ80zoYhxdKmDv6Ei9Tu0IfW1ckV+Ou10mk4lZk6fy6aJvsbOzJ2TZco7FH2HIWyM5sGcPmyOjadyiOTO/+gK3Sm481qUTQ94cwdPdAunaswetHm5DpSpV6PWk+QRn6uixxB84cJOt3pqY6Bg6depE3KZYrly5wtujx+QuCw1dT2Cg+adoJ70zidkfzcLZ2ZnY2DhiY2IB6NYtgClTp1C1alW+/e5bDuzfzwsvWP9J1BJni4nDr1NHYmI3cvXKVcaMmZC7bN36lfTqad4fwZOmMXPW+zg7lyMubjOxsXkdcq+gQELW6n/pW1zcr3T0bUd4xAquXrnKhAl5l7KtWr2YPk+Yf4p79NvD6dWrG+XLOxMbF8LyZWuYO3d+cS9betkmkr6Yjfe7/wd2dpwLX8e1xARqDHyFK/EHydi6mWqP98ft0cfQTCZMGRc49ZE5u7J34L7ZX5tf5vIlTs6cAjpevmIymfi/qTOYtXA+dnZ2hC1fyfH4I/znzTc4tGcvv0XF8EDzZsz48jNcKrnRtnMnBo98g//0CCI7O5sv35/Fx4u/QynF4b37WLfE+q8G3W6294Kn8NWi77G3t2PV0mUcjY9n2Kg32bd7D7GRUaxcsoT353zM+rho0s+nM2b4CAB+XrSYGbNnsipiA0opVi9bzuGDpR8gzGGrx6jJZGJqcDALFy3Czt6e5UuXEh8fz5ujRrFn926iIiNZumQJH82ZQ3RcHOfPn2fk8OEAvDBoEPW8vHhjxAjeGGHej4MHDuTsWX3u75FTn19a6nO1pT6HvvUm+/eY63PV0iW89/HHrIu11Ocb5hxVq1fjq++/J1vLJtWYwoRRo26ytZJnmx4czALLfluxdClH4uN5Y9Rb7N29h5jISJYvWcrMOR+zMS6W9PPnGTXc/As6Fy5cYOH8+SwLWYumaWyKiSEu+tY+HN0SG20/NFM2Wz+Yi/+X76Ps7DiyZiPnjybi8/ogzu4/XGCAqbAarZrR/MUBaFkmtOxstr7/KdfO63gPnmwTF5bOpMqwT8HOniu/ryUr+RguPV8l88SB3AGm8q0DuPJnwcFD7fIFLm1YQLWx3wNwKWwB2mX9smWbTCx6dxZvf/MpdnZ2bFoVwukjx+g7fAgJ+w6wI2YzT48egXOF8rwx530AziYZmTN8NLXu8+I/U8ajZWsoO8W6bxYV+NW40hr18S9s25vAuYxLdHz5A954uitZlhtbP9PtEXxbP0DcX4fwH/oR5cs58t5w8yBrZdcKDH2qE0+OMf+0+7CnOlP5Bjf8vl2lbXenTpuKk5MTP/ywGDDfrHvixHdKH8xk4sjHn9B8zmyUvR3GdaFcTjiO18svknHwEGe3/Eqtp/pRrUN7NJOJrAsXOPiuuW4retXjvjeGgaaBUpz6+Rcu6fQjDrbev38ydQazLdlCLdletGT7NSqGRpZsrpXcaNe5Ey+OfINBPYLwanAfo2dMJTs7Gzs7O3786htdB7zINpE6fya13jG3Hxei13L91DGqDniVa0cPcGn7Ji7v/J0KLR+h7pwlkJ3NmcX/R/bFdJxbPEz1QW/m1ue5tT9y/YSO2bRsrkR+RcWnpoGyI3NPBNlnT1Cuw3OYjPFkHTF/aeDYuCPXDxQcCMs89Cv2dVvg8uLnoGlkJfxF1tF/9n62Nknnm6nfy9S//V4wlnsqrdM0rZlSyh34E+isadoRpVRFoBbmQZQKmqalWmb5HNM0rZpS6jPgL03TvrO8ViwwWtO07ZbHU8i7p9JW4ANN01YrpcoB9phn/3ysaZqvpfwQIBB4StO0TKXU/cBpoBvwqmVZDWA/8IqmaUV+81wp5XKLWXcBwzVN22zJWUnTtLeKyfkwMBrz5XkRwAhN02Jvsmu1eS39b1LknzdkVwQPe+vzDZnetiXE41VPvyn+ejqemMB93vpNH9bLsQTzQF2jB/T7aXO9HDxk/nZoT/fif3mjrDTfsBW/+rZXnwCxRw/QvN59ZR3Dqj2Jx2zyGD2eaP7gWL9evTJOUtTRRPO3sC28bK9Odx83fzhrVM+rbINYcTDxuE22HWBuPxb62F7/DjB4ZwTGYW3KOkYRhs//B8DAJg+XcZKiFu+3fHDcZxv3wymgaT+bbHPB3O7Gtbu1X1r8p/n+tskm+/jYo+Zzto42mG2TJVv8k7bXfjRcbm4/0mf2KuMkRVUasw7MkyL+lRo2bGWTAyHx8Tvuun1+Tw3PaZqWBgzGfJPt3cDvQCPMN7VeZ3luC5DzNegvwNtKqR1Kqfo3efmBwAjLa/wGGIDdgEkptUsp9RYwH/OA0V9Kqb3A15hni60C4i3LFllyFedWsw4CZlnK+QDTbpAzZ/+kAL2Az5VStvcpXgghhBBCCCGEEDbjX3/5m6Zpx4Fm+R5HY75JdmFFvl7SNO1XzPdgyuFXaPmUfP8fj/XL0Ao/N8Hyr7DhVp4rQtO05FvMCuZ7SBUuZy3nMSDWsvwE0PRWsgghhBBCCCGEEHcbJZe/6Ub2pBBCCCGEEEIIIYQosX/9TKW7mVJqFVD4YvOxhW/0LYQQQgghhBBCCPFPk0ElG6ZpWp+yziCEEEIIIYQQQvybKLloSzeyJ4UQQgghhBBCCCFEicmgkhBCCCGEEEIIIYQoMRlUEkIIIYQQQgghhBAlJoNKQgghhBBCCCGEEKLEZFBJCCGEEEIIIYQQQpSY/PqbEEIIIYQQQggh7hlKyfwavcieFEIIIYQQQgghhBAlJoNKQgghhBBCCCGEEKLE5PI3IYQQQgghhBBC3DOUsi/rCP8aMlNJCCGEEEIIIYQQQpSY0jStrDOIu5O8cYQQQgghhBDi30uVdYA7pXGjdjb5efbAwd/uun0ul7+J23ZfvXplHaGIY4mJ1LfBXABHExOpf1+Tso5h1dFj++nRsHlZxygiLH4PAA/U8yrbIFYcSjwOQP36zco2iBVHj+7Fq553Wcew6nhiAg1s9Bg9kpiIlw1mO56YCIBXvfvKOElRxxOPAbadzVb7KlvMBeZstngcgPlYsMU+/qjlGG1qg+3uvsQEAJvsE44nJsC+FWUdw7qm/WhQv0VZp7DqyNHdtlufgJcNnrMdzzlns+H2w9urYRknKSrheHxZRxB3Cbn8TQghhBBCCCGEEEKUmAwqCSGEEEIIIYQQQogSk8vfhBBCCCGEEEIIcc9QSubX6EX2pBBCCCGEEEIIIYQoMRlUEkIIIYQQQgghhBAlJpe/CSGEEEIIIYQQ4p4hl7/pR/akEEIIIYQQQgghhCgxGVQSQgghhBBCCCGEECUml78JIYQQQgghhBDinqGUfVlH+NeQmUpCCCGEEEIIIYQQosRkUEkIIYQQQgghhBBClJgMKgkhhBBCCCGEEEKIEpNBJSGEEEIIIYQQQghRYjKoJO6ojr6+REZHEx0Xx2uvv15kuZOTE5/OnUt0XBwrV6+mVu3aAHTo0IE169YRtnEja9ato227dnckW4Ql26s3ybYiX7b2lmyhdzAbQHDwBKKjN7A+dBVNmza2WqZZsyaEhq0mOnoDwcETcp9v3LgRy1f8TMi6laxes5QWLZrrkqn1Y+35ZuNaFkSu56khLxXN06Y1n61ewroDO+jQ3b/Ashfffosv16/ky/Ur6RjYTZc8+T3m68uG6CjC42J5xUp9Ojo5MWfuXMLjYlmarz5r1a7NrkMHWR0ayurQUKa++67u2QCCg8cTHR3K+vUrb1yfoSuJjg4lOHh87vONGj3AsmU/EBq6knnz5uLiUlHXbJOnTCY2LoawDWE0bda0mGzN2LAxjNi4GCZPmZz7/PgJ44mKiiRsQxhff/0Vbm6uuuXq6OtLeHQ0UTc4Rv9v7lyi4uJYnq9Oc3jWrMmu/ft5acgQ3TIB+Pr6EhUdTWxcHK8Xk2vu3LnExsWxevVqaltyVa5cmZ9/+YV9+/czddo0XTPlN3lKMLFx0YRtCL2F+oxm8pTg3OfHTxhHVFQEYRtC+frrL3Wtz9JmG/XftwjbEEpo6DoWLf6eGjVq6JbL1vsqW8x2u8cBwNChQ4mNiyMqOpqOHTvqmgtsu3/v4NuRddFRhMXF8PLrrxVZ7ujkxOy5nxEWF8PPq1dRs3YtABwcHHjvo9ms2hjG2qgIXh5a9O/Sgy32B+PnrqDt4HfpNfITq8s1TWPG/BD8h84m6K1P2Xf0dO6yVTF/ETDsIwKGfcSqmL90yWPNpOCxREWvY9365cX28U2bNWZ96AqiotcxKXhs7vONGt3PsmWLWR+6gnnzPtO1j7fF+iyYLfYWsm0gNi62QLbAwEDCI8I5lnCM5s31OcfNYcvtB8DkyZOIiY0kLCyEpk2bWC3TrFlTwjasIyY2ksmTJ+U+P/LNN/h962bWh65lfeha/Px870hGce+RQSVxx9jZ2TF1+nT+M2gQ3bp2Jah3bxo0bFigTP8BA7iQnk5nX1++XbCAsePGAfD3uXO88uKL9OjWjbdHjeKjOXN0zzZl+nRevEG2pwYMIN2S7bt82c5ZsgVass3WORuAn19HvLzq0blzdyZOmMy06ZOtlps2PZgJ44Pp3Lk7Xl718PV9DICx4/7LZ59+QVCvvnwyZy5jx/231Jns7OwYNmUik14eyqs9HsevVw/qNrivQJnUpGQ+GjuJmJDQAs+38XuM+k0bM6z3U7z55HP0e2kwFXQ8abKzsyN4+jReHjSYnl396dW7N/UbNihQ5qkB/bmQnk6Arx8LFyxgtKU+AU4kJvJEYCBPBAYyeeJE3XLl8PN7DC+vunTuHMjEiVOYNm2S1XLTpk1iwoQpdO4ciJdXXXx9OwDw/vtTmTXrEwID+xIeHsUrr/xHv2yd/PD29sLPtxMTxo/n3RkzrJab8e4Mxo8bj59vJ3N5y4nIls1bCAjoRo/uPUhISGDo0KG65Mo5Rl8aNIjuXbvS6wbHaBfLMTomX50CTJw0iU2xsbrkyZ9r2vTpDB40CP+uXeldTLuWnp6On68vCxYsYJwl17Vr1/ho9mzeu0MDl5C/PjszYfwE3p0x3Wq5Ge9Ot9RnZyv12Z0e3QNJSDiuW33qkW3e19/Qo3sggYG9iI6KZuTIEbrksvW+yhazleY4aNCwIUFBQQT4+zNo0CCmz5iBnZ1+p6O23L/b2dkxcfo0Xhs0mN5dAwi00lf1s/RVPXw7sWjBAkZZsnXrGYijkxN9uvWgf88g+j/7bO6Ak15stT/o2+lB5k8aXOzyTX8d5njyWcI//y/TX3uCKfPWAHA+4zJzl0ax9IPXWfbhUOYujSL94hVdMuXn69cBL696dOnci3cmTmPqtHeslps27R0mTphKl8698PKqR0dLH//e+1OYNesTegb2Izw8ipdfKf5vLQlbrc+8bN74+fpZ+gPr/WJeNkt5Pz8ADh0+xGuvvsa2P7bplglsu/0A8PPzxcu7Hp38ujJ+wiRmvGv9C6oZM6Yyfvw7dPLripd3PXz98gbvv12wkJ6BvekZ2JvY2DjdM95NlLKzyX93ozuaWin1hFLK+hCqeflrSqkXbrDcSyn17G1sd6FS6skSrnPDrDdZ108pte421z2ulKp+kzJPKaUOKKVibmcbJcxz239LYS19fEg8fpyTJ0+SmZnJupAQ/P0Lzl7p6u/PihUrAAgLDaVd+/YA7N+3j9TUVAAOHz6Ms7MzTk5OesQqNltXK9lW5svW9h/KBtC1a2dWrTKfFO3cuRs3N1fc3Qu+Tdzdq+Pi4sLOnbsBWLVqDf7+XQDzt3Y533S5urrk5i2N+1s0JynxBMaTp8jKzCJufRiPdulUoEzq6SSOHzqMpmkFnq/boD57//cn2SYT165cIeHQYVo/1qHUmXK08PEh8Xgipyz1uT4khC7+AQXKdPYPYJWlPjeGhtK2/Z35Bsmarl07sWrVWuBm9VkxX32uxd+/MwDe3vXYtm07AL/++jvduhV8r5ZGgL8/K1esBGDHjp24urnhXsO9YLYa7ri6uLBjx04AVq5YSUCAef9u3rwZk8lkWX8HBk+DLrkKH6PrizlGc+p0Q75jFKBrQAAnT54k/vBhXfLk8CmUKyQkhIBCuQLytWuh+dq1K1eusH37dq5du6ZrpoLb7srKFauAktTnKgICzH/D5s1b7kh96pHt4sWLueUqVKhQpJ25XXdbX2UL2UpzHAT4+xMSEsL169c5dfIkiceP4+Pjo0susO3+vblPS07m66tCQ0LoVChbZ39/1liyhYeG8ailr9I0jQoVKmBvb085Z2cyMzO5lHGxyDZKw1b7gzZNvankWqHY5VHb9vOEXyuUUvg8UJcLl66S+vcFtuyMp32LBlR2rUAll/K0b9GAzTv07RMgp48PAUpyzhaCv7/5HMrcx/8JmPv47t266pLLVuvTnC0gX7YduLq5FpPNlR07dhTJdvTIUY4dO6Zbnhy23H4A+Ad0ZeXK1QDs3LETN1dX3N0L7Td3d1xcXdiZU6crV+f2o0LcKSUaVFJmJVnnCcDqQI1SykHTtK80TVt0g/W9gBIPKt2mYrPagJeAVzRN63TTkpj3baHHJa03XRgMBpKTk3MfJycn42Eo2CF5GAwkJyUBYDKZyMjIoEqVKgXK9AgMZN/evVy/fl23bB6FshmtZDPcQrbudyCbOV8NkpKNefmMKRgMHoXyeWA0puQ+Tjam4GEwXw4yY/oHjBv/Nlu2RDFu/NvMmml9ynhJVDfUIC1fpjPGFKp5eNxgjTwJBw/R+rH2lHN2xq1KZVo8+jDunre27q3wMHhgTE7KfZySnIxHof3lYfAotj5r16nDqtD1LF6yhNZt2uiWK3fbHh4kJZWwPpNT8LDs3/j4o7kDTD16BOCp44mdh8GDpKR8x4IxGYNHoWPBw0CyMf+xbCyyfwGe6t9ft2+9buUYLdx+XLTUaYUKFXj19df57JPSv++t5Uq6hXYt6SZtx51i3nb++jQWU59570dzfRZ9Tz3V/ylidZzppUe20W//l99+38LjT/Tm44/1+RbYlvsqW81WmuOgyLpG6++/0mSz1f69cLYUK8deDYMHRstxkpOtcpUqhIeGcfnyZWL/9weRv//KwnnfkJ6erls2cz7b7A9uJuXvCxiqV8rLWM2NlL8vkHK24PMe1SqRcvaC7tv38KhBcqE+Pud8LLeMoVBWR9cAACAASURBVEaBPt6YnIKHh7lMfPxRuloGmHr0CNBt8MaW69OcLe+8rfj+oHA7o9+5o/Vcttt+gPl8MjmpYPtp7XwyOf9niGRj7vkkwAuDnicsLIQPZ76Pm5ubrvnEveumAw2W2UKHlFKLgL3AQKXU70qpv5RSy5RSLpZyHyil9iuldiulZiul2gG9gVlKqZ1KqfpKqVil1CdKqe3ASKXUFKXUaMv6DZRSkUqpXZbXrg98ADxmWf8tpZS9UmqWUup/lu28allXKaXmWnJGAje80cItZvVRSm21lFmllKpyg5z5X7uNUmpH4efzLa+mlApXSu1TSs0HVL5lzyultlkyfG35e4OBDsACy99e3D7wU0ptVkqtBfZbqbc6SqmAYuquu1LqoFLqL6Dvzd4T/6SGDRsyZtw4Jo4ff/PC/7CcbO/YYLbnnnuaGTM+oEOHLrw740M++ND6ZSb/lL+2/M72uM18tHQxY+fM5OCOXWRnZ5dpphypqal0atuOPoE9+WD6dD769P+o6OJS1rEKGDt2Es899zRr1iyhYsWKZGZmlnWkIoYNH4YpK4vVq1aXdRRGvPUW382fz+XLl8s6yl1r2PChlvpcU9ZRCpg96yPate3AmtVrGTSo2InO/7i7oa+yxWy2yhb79+Y+LcnONtHp4Ufp1qEjg155mdp16pR1LKtsqT+4G4wbG8zzzw1g9ZpfbLKPl/osGVtsP3L8+MNP+HbsQmBgb9JSU5n4ju1l/CcpZW+T/+5GDjcvAkBDYBBwBFgJdNU07ZJSaiwwSin1OdAHaKRpmqaUqqxp2nnLAMc6TdOWAyilAJw0TXvI8nhKvm38CHygadoqpZQz5gGvccBoTdN6WcoPAdI1TWujlCoH/KqUCgdaAQ9gnmnkAewHvrX2hyilqt1i1t3AG5qmxSmlpgGTgTeLyVnHsk474DPgcU3TThSzLycDWzRNm6aU6ol5FhJKqcbAAKC9pmmZSqkvgOcs5Tpb9sP2G+wDgAeBZpqmJSilvHLqTdO0rcp8id07VupuJvAN0NlSv0uKyZ2z/4cAfP3118UVy2U0GvH09Mx97OnpSUq+b6ABUoxGPGvWxGg0Ym9vj6urK+fOnQPM3wR8NW8eo0eN4sSJ4nbn7UkplM1gJZvxJtm+nDePt3XM9vzAZxgw4CkA9uzeQ01PA3/m5Cs0i8Wcr+BsF0+DBylG87Tbvv0eZ9q09wAIDd3Ae++X/qbAZ4ypuOf79qy6wYOzKSk3WKOgX778hl++/AaAMR9/yOmExFJnypFiTMHgWTP3sYenJymF9leKMQXPmjVJsVKf5y3fJO3bu5cTiSfw9vZm7549pcr0/PNPM2CA+SrcPXv2UrOmgT8tFXpL9enpQYpl/x47lsDgweabTXt51aNTp9Ld2HbgCwN55umnAdi1ezc1a+Y7FgyeGFMKHQspRjwN+Y9lQ4H9++ST/ejSpTPPPvNcqXLldyvHaOH2w8VSpy19fOjeowdjxo/Hzc2NbE3j+rVrLP7+e11y1byFdq1mMW3HnWCuzwGAtfo0FFOfeceyuT7zyuTV5/M2ly3H6tVr+G7hAubMKf1sNFvuq2w1W2mOgyLrGqzXcWmy2Vr/Xlw2Dyvv71RjCoaangX6qvPnztHz8cfZEruJrKws/j57lh1/bqdpixacOnmyVJnuhv7gZjyqumE8kzdry3j2Ah5V3fCo5sa2vXmXSKWcTefhZvdZe4kSe/75AfQf0A+APXv24VnTAPn6+JzzsdxtG1ML9PEGTw9SUsxljh07zuDB5pu2e3nVw6/TY7edy5br05ztGUu2XdSsmXfeVnx/ULidufXzztthi+3HwIHP8fQz5n50967deNYs2H5aO5/MP6Pd4GnIPZ88c+Zs7vM//7KUBQvm6ZJRiFu9JCpR07StwKOYB25+VUrtxDzQVA9IB65ink3TF7jR18NFBi2UUq5ALU3TVgFomnZV0zRrrxEAvGDZ9h9ANcwDJx2BnzVNM2malgRE32D7N82qlKoEVNY0LWee5/dAx5vkbAzMA4JuMKCEJesPlvXXAzmfNLoArYH/Wf6+LoC1nq+4fQCwTdO0hHxlc+oNiq+7RkCCpmnxmvkGFT8UF1zTtHmapj2kadpDQ27h15R279qFl7c3tevUwdHRkV5BQURGRBQoExUZSb9+5k65R2Agv//2GwCubm4s+O47Zn74IX9u337TbZWUtWxRVrL1LSbb/DuQ7YfFPxPUqy9BvfoSHhFFnz6PA+Dj04KMjAzS0s4UKJ+WdoaLFy/i49MCgD59Hicy0vzWT0lJ5ZFHzJdxtWv3KInHSz+Ac3jPXmp61cOjdi0cHB3w7dmDrVGxt7SunZ0drpXNU9C9Hrgf7wca8ueW30qdKceeXbvw8vaidp3aODo60jMoiOhC9RkdGUEfS312Cwxkq6U+q1StmnuT2Np16uDl7cVJHU4EfvjhF4KCniQo6EnCw6Pp06c3kFOfF4upz0v56rM3kZHm26hVq1YVMA/MDx/+Kj/9tLRU2RYvWkxgYE8CA3sSHh5O337mCYqtWvmY32upaQWzpaaRcfEirVqZ73vSt19fwi3719e3I6++9iovv/QKV69eLVWu/Hbv2kW9fMdoz2KO0Zw67Z6vTp956in8OnTAr0MHFn77LV9+/rkuA0oAuwq1HUFBQUQUyhWRr10LDAzkt9/0e69bY67PXgQG9iI8PIK+/foAJanPPoRHRAI59TmEl18aokt96pnNy8srt5x/QFeOHtXnfhp3W19lC9lKcxxEREQQFBSEk5OTpc31ZufOnbpls8X+PcfeXbup6+1FLUtfFRgURIzl/Z0jJjKSxy3ZAgJ78MdvvwOQfPo0j7RrC0D58uVp2aoVCUePljrT3dAf3EznNo1ZHbsDTdPYeegErhWcqVHVjQ4+Ddmy6wjpF6+QfvEKW3YdoYNPw5u/4C344Ycl9A7qT++g/kSER9OnTxBQknO2oNw+vmq+Pn7Y8CH8/NOy285ly/VpzhZo/uW2Atla3SBbBq1atcqXLbzI6+rJFtuPxYt/zL2xdnh4JH37PgGAT06dphXab2lpXMy4iE9OnfZ9gohwczuT//5L3br5c1jn+06Ke9etzlS6ZPmvAiI0TXumcAGl1MOYB0KeBIZjnvlyo9e6HQrz7KGNhbYdeKsvoGlaVgmylkQy4Ix51lTSTcpao4DvNU272TzE4vaBH0X3bf7HVutOKaXf3TELMZlMTAkO5vtFi7Czt2fZ0qXEx8fz5qhR7Nm9m6jISJYsWcLHc+YQHRdH+vnzjBg+HIAXBg2inpcXb4wYwRsjzL/wM2jgQM6ePXujTZYo29TgYBZasi23km3pkiV8ZMl2/vx5Rt4g22AdswHExmzCz68j0TEbuHr1KmPH5P0iWci6lQT1MnfEk4OnM3Pme5RzLkdc3GZiYzcBMGHCZIInjcfewZ5r164zcaL1X48riWyTiS+nvseMb7/C3t6e8OWrOHHkKANHDuPwnn38ER3L/c2bMumL/8PFzZVHOvny/IihvBbYB3sHB2b/bP5Qf/niRWaNHk+25eaPejCZTEwLDmb+okXY29uzYulSjsTHM2LUW+zdvYfoyEiWL1nKrDkfEx4XS/r587w1/A0A2jzyMCNGjSIrM4tsLZvJEybqfp+K2NhN+Pk9RnR0GFevXmHs2LxffwsJWU5QkHlG0+TJM5g5cwblyjlb6nMzAEFBgTz/vPmbx40bI1m+fJVu2WKiY+jUqRNxm2K5cuUKb48ek7ssNHQ9gYE9AZj0ziRmfzQLZ2dnYmPjiI2JBWDqtKk4OTnxww+LAfMNNydOtP7LNyWRc4x+Z6nTnPZj5KhR7C10jEZZjtE3LcfonWQymQgODmaRJddSS663LG1HpCXXx3PmEGvJ9Ua+XFu2bMHF1RVHR0cCAgIYOHAgR+Ljdctnrk8/4jbFcOXK1UL1uY7AwF4ATHonmNkfzbRSn1Ms9Wm+3eGOHTt1qU89so0dN4b77vMmO1vj9OnTTJygTy5b76tsMVtpjoP4+HjWrV9PRGQkWVlZBE+apOvl0Lbcv5tMJt4Nnsy8RYuws7dj1dJlHI2PZ/iot9i3ew8xkZGsWLKED+bMISwuhvTz6Yy29FU/L1rMjNmzWBOxEaUUq5Yt5/DBg7rkymGr/cGoj39h294EzmVcouPLH/DG013JspxDPNPtEXxbP0DcX4fwH/oR5cs58t5w8wf+yq4VGPpUJ54c8zkAw57qTOUb3PD7dsXGbrb08eu5cvVqgT5+bchSegf1B2Dy5HeZOXMGzuXKERe3hbjYLQAEBfXg+efNM1HCN0axfLk+l5nZan0WzBZnyfZ2vmyhBAYG5ss225ItNjdbt27dmDJ1ClWrVuXb777lwP4DvPBC6S+JtuX2AyAmJpZOnXyJjYviypUrjHk771dv14eupWeg+QvMSZOmMGv2hzg7OxMXG5d7P6zx48fQuElj0DROnTrNhAnWf434XnG3Xmpmi9TNfj3FchnVOk3Tmiml3DFP7uysadoRpVRFoBbmQZQKmqalWmb5HNM0rZpS6jPgL03TvrO8ViyWy7gsj6cAFzVNm62U2or5srLVlsu67DHP/vlY0zRfS/kh8P/s3Xd0FNXfx/H33U1CAilAyiagFCkB6V16QrMLCAo+ioAUkSIivQqIgmAXG6IgYAHpVamBEJTeW6gBUjYNCIGEJJt5/tglyWYDEjL8gvp9ncM52Z07Ox9m7tyZvXtnhqeAF2yXiFUGIoHHgddt0/ywXv7W59albLn+P+53mfUgMFDTtFBbTi9N04bcJmdDYBjWS9k2AG9qmhZym/X5ORCradoUpdSTwFrA15Z7BdbL32KVUiUBD03TInKutzusgwbYXyqYtd1sr2+37S4A4UCwpmlnlFK/2Jb7TJ4VIpv2SNmyf1Pkf+9sRAQVHsBcAGciIqjwyIN5L/gzZ4/xZKUahR3DwbpT1kvQAsuWK9wgeTgZcR6AChWqF26QPJw5c4RyZcsXdow8nY84R8UHdB89HRFBuQcw2/kI60jDcmX1uWxDT+cjrKOFHuRsD+qx6kHMBdZsD+J+ANZ94UE8xp+x7aPVHsB292iEdQD7g3hMOB9xDo4uKewYeavWiYoVahZ2ijydPnPowd2eQLkH8Jzt/K1ztge4/ShfTp9RdHo6d/4U5Lj/779NrZpP6vMYWZ0dPLTuH7fO8/VEME3T4oAewC+2ew79ifXyKQ9gte297cDbtll+BYbf6cbVOXQD3rR9xg7AHzgEWJT1pthDgNlYO4z2KaWOAN9iHW21DDhlmzbPlut27jZrd6w37j4E1AZu3ZQmr5y31o8ZeAb4UinV6DbLn4T1UrqjWG+KfcE27zGs9zxab/vsDUBAHvPfbh3c0e22naZpqVjvk7TGdqPugj97XgghhBBCCCGEEP96d9MZcR6onuP1ZqyjYnJrmMe8YVjv43NLUK7pE3P8fYq8L0PL/d4Y27/c7uq6B03Tou8yK1jvQ5S7XF45zwIhtukXgGp3WH4C1vsi5TVtIXncc0rTtKAcf2eS9zoIuZXBVu48Obab7b08t52mab9j7RwUQgghhBBCCCGEuCv5GqkkhBBCCCGEEEIIIQTc/Y26/5GUUsuA3Bcdj8x9k+v7tOyewOBcb4dpmjbgfi9bCCGEEEIIIYQQ4n77V3cqaZrWsRCXPQeYU1jLF0IIIYQQQgghhCODkou29CJrUgghhBBCCCGEEELkm3QqCSGEEEIIIYQQQoh8+1df/iaEEEIIIYQQQgiRk1LGwo7wryEjlYQQQgghhBBCCCFEvkmnkhBCCCGEEEIIIYTIN7n8TQghhBBCCCGEEP8ZcvmbfmSkkhBCCCGEEEIIIYTIN+lUEkIIIYQQQgghhBD5Jp1KQgghhBBCCCGEECLflKZphZ1B/DNJxRFCCCGEEEKIfy9V2AHul3p1Oj6Q32f37l/2j1vnMlJJCCGEEEIIIYQQQuSbPP1N3LNLveoXdgQHD32/h1m12hZ2jDz1PbiBcmXLF3aMPJ2POEedWk8XdgwH+w+uAaBVy1GFnMTR5q3TAJhb+8Grbz0ObGByzVaFHSNPEw5tpkNgncKOkaflJ/fzeKXqhR3DwR+njgAQVKFqISdxFHLmOMADWd8mHNoMwAtV6hVyEke/ndj7QB+rTnVuUNgx8lRp8e4Hts0FmFGrTSEncTT84EYAtjZpUchJHLXcsY2KFWoWdow8nT5zCI4uKewYeavWiXUNHrw298nd1jb3swewbRt80LqPbmwUVLhB8tBmZwgA6xsGF26QPLTbtaWwI9xX8vQ3/chIJSGEEEIIIYQQQgiRb9KpJIQQQgghhBBCCCHyTS5/E0IIIYQQQgghxH+GMsjlb3qRkUpCCCGEEEIIIYQQIt+kU0kIIYQQQgghhBBC5Jtc/iaEEEIIIYQQQoj/DIM8/U03MlJJCCGEEEIIIYQQQuSbdCoJIYQQQgghhBBCiHyTTiUhhBBCCCGEEEIIkW/SqSSEEEIIIYQQQggh8k06lYQQQgghhBBCCCFEvsnT34QQQgghhBBCCPGfof6lT39TSpUEFgLlgPPAi5qmXc5VpjbwNeAJWID3NE1baJs2F2gJXLUV76Fp2oE7LVNGKgkhhBBCCCGEEEL8840CNmmaVgnYZHud2w3gVU3TqgFPAJ8qpYrnmD5c07Tatn937FACGakk7rMi1RtT/KVhKGXgeuhyrq370aGMW/02eLbvC5pG+sVTJH43jiKB9fDq+nZWGeeAciR8O4bU/Vt1y/ZQk/o0GdkfZTBwYtk6Dv6wMM9y5Vs3o+3H77D0pQHEHwun9GN1aTi4F0ZnZyzp6ez85Duidv3tvpYv70x8h+DgIFJSUhk2bBhHjxx1KFO9enU+/GgGrq6ubNkSwqSJkwAYPWY0bVq3Ji09nQsREQwfPpykpGu6ZRsx8nWaNqtPaupN3hn/CSdOnLGb7upahOkzRvPQw/5kZmaybesuPv9sLgDOzk68+95QqlatyNWr1xg5YhrRUbG6ZRv45rM0ahRI6s10pk/9jVOnohzKTJveE29vT4xGA4cOnePzT1eQmanRMqgG3Xu0oUxZX/r3+5Lwk5G65SrdpD4NR1jr2qll6zg8J++6VrZ1M4I/eodV/zeAhGPh+FQPpMn4IVnTD3wznwtbwnTLBVChaQMeHzkQg8HA/qVrCfvhF7vp9V54lvpd26NZMkm7kcLqyR8TfzYCr1Im+i+fS8L5iwBcOnSMtVM+1S1XneZN6D12OAaDgQ2/LWfpd3Pspj/X4xXavtARiyWDpMTLfDFmEnFR0QBMmD2TwFo1ObZ3P+/1G6xbplvqN29Kv3GjMBqNrFu0hEWzvrebXr1BPfqNHckjgZV5f8hwtv++IWtar+FDaBjUAoCfv/yWrWt/1zVbwxbNGDh+DEajgTULF/Pzt7PtptdsUJ+B40ZToUplJg8eytbf12dN8wsIYPjUd/EL8EfTNEb1ep2YSMd96F7da10D8Kv0CM9MGIJLsWJoWiazX3oDS1q6btlqN2tMz7HDMBiMbFq8nOXfzbWb/kyPl2nduQMWi4WkxMt8NXYS8VEx+JTyZ/gXH2EwKIxOTqxbsJANC5folgvu/VhVxMuDth9NwLdaIOEr1xM2daauuYrWboxvz6FgMJC0aQWXlzse390bt6Hki30ASDsfTsxn43Hy8SdgxAyUMoCTE1fXLeTq+qW6ZrvXNveWYv6+dFj6PQe+mcfReYt1zVauSQNa27bnoWXr2PXDr3bTa73wDHW6tEezWEhLSWX95I9JOHsBg5ORx98ZiqlqJQxGA0dXbWRnrn2ooEo0akjFt95EGQ1Er1rDxfk/2U03PfUEjwzoT1pcHACRS5YSs2oNRfxNVJv6HkoplJMTkYuXEL18pa7ZAMZPGElQUHNSUlIZOWI8R48edyhTrXpVpk+fgqtrEUJCQnl38gcAVKlSmXffHU/RYkWJvBTF22+PIjn5eoEzjZ65hJA9J/D2Ksbqz95ymK5pGu99v5qt+07iWsSFaQM7Ua1CaQCWbdnH14u3APBG52A6BtctcJ6cfBo3oOrQgSiDgUsr1nL2x7zriym4OXWnTyLs1X4kHQ9HOTlRfczbeFWtjJapcfyjmSTuO6hrtrJN6tPSth8cXbaOPbdp1yq2bsbTH7/DLy8NINa2j9Z/rSvVOj6BlplJyAdfcWHHHl2zeT/WkMpvD0QZjESuXEPEvJ/tpgc8/QSVBvXjZlw8ABd/W0bUyjUA1P50Ol7VH+XKwcMcHDpa11zWbA2oMtSa7dKKNZyfZ79NSz39OJXf7EdqjmyRK9YCUPezD7Ky7X97jO7ZxAOlPRBk+/tHIAQYmbOApmnhOf6OUkrFAr7AlXtZoHQq/cvYhqut1jRN37Oge6EMlHh5JHEfDcBy2Yzf+HmkHNhGRvS5rCJOfg/j8XRPYqf2QrtxDYNHCQBuntxL7KSXrR9TzJOAqcu4efQvHaMZaDZmEGteH8l1czwdf55JRMifXDl7wa6cc1E3qr/cEfOh7BOX1CtX+ePNCdyIS6BExXI89fVUfmr7km7ZgoKDKF++HEEtg6lTpzbvTZlChw4dHcpNeW8Ko0eNZv/+A8z9cQ5BQS0JCdnK9tDtTP9gOhaLhVGjRtK/f3+mTftAl2zNmtWnTJlStH+2DzVqBDJm3ABefeVth3Lz5i1lz+5DODk58e1379G0aT3CwvbSoePjXEtKpv2zfXj8iRYMfqsno0bok61Ro0BKP+RDt5c/pOqjD/PW2x0Y8MZXDuUmT/yZGzduAjBx8iu0DKrBls2HOHcuhnfGz2fI0Od1yXOLMhhoNHoQ6/uN5IY5nmd+msmFrX9yNVddcyrqRtX/60hcjrp2+fR5Vv1ffzRLJm4+JXlu0Tdc3PYnmiVTt2xPjhnMgr7DSTLH0fuXrzkZsiPrizzA4bWb2PvbKgAqBzWh3fA3+PkN6w8ely9FMevFvrpkyclgMPD6hFG80/MNEsxmZiz+iV2bt3LpzNmsMmePn2Bop5dJS03liZdeoPvwwXw4xJpr+ex5FHFzpV2XTvcl24CJ4xjdow/xMTF8sWQhf23ewoXT2dnioqL5aOQ4OvfqYTdvw6AWVKz2KG881xlnFxdmLJjD7m2h3NDhi82tbIMnjmdY917ExZj5ZtkiwjZtIeJ0dsdvbFQU00aMpkuf1xzmH/PhNOZ/9S17w3bgVrQomZn61DMoWF1TRgMdp45m+ZipmMPP4ublSWaGRbdsBoOBXhNG8e5r/Uk0m5n623z2bN7KpTPZx6pzx08ysnM30lJTade1M92GDeaTt0dzJS6esV17kJGejmtRNz5atYg9W7ZyOTZel2wFOVZZ0tLZ/eVcSlYsT8mK5XTJk8VgwLf3CCInDyQj0UyZaT9yfc820i5lrzNn/4cp8XwPLo3rTeb1axg9rcf3jCvxXBrzGlpGOsrVjbIf/0ry7m1YLuu3zu61zb2lwdB+RIbt1iVP7mxtxwxi0esjuWaOo9vPX3ImZAcJObIdX7uZg7+tBqBCy8YED3uDxf1HE9i2JUYXZ+Z27oOTaxFeW/o9x3/fTFKUWZ9wBgOVhg3h0OC3uRkbR93vZ5EQup0b5yPsisVt2szpj+1/QEiLT2B/3zfQ0tMxuLnRYMFcEraHkRafoE82oGVQM8qVK0vrVs9Qu3ZNJk0eR+dOLzuUmzx5HGPHTOLAgUN8/8NXtGjZjG1bt/P+1IlMm/oRu3btpXPnDvTu04NPP/mywLmeD67LK08+xsjPf8tz+rZ94ZyPTmD9l0M5GH6RibNW8NsH/bly7QYzF21iyfQBKKV4fvhMWjWoipe7W4EzAWAwUG3EYHYNHE6qOY4mP35N7LYdJJ+z357Gom6U69qJK4ePZb33cMenAdj+Um9cShSn/mfT2NH9DdA0XaIpg4GgMYNY9vpIks3xdP15JmdD/iQxj3at9ssdic6xj5Z8pAyVnwhiwfN9KObnTcdvP2Decz3R9DpeGQwEDh/M/kHDSI2No+Hcb4gPDeN6rvVm3riFkx9+5jB7xIJfMboWoXTH5/TJkytb1RGD2TtwOKmxcTz24zfEhe5wyBazYQsnPvzcYfbzCxZiLFKEh55/Vv9s/1D/1svfAJOmadG2v2MA050KK6UaAi5AzpEC7ymlJmAb6aRp2s07fYZc/vYfp5S6bx2LLo9UIyP2Ipb4SLBkkLJrPW51WtqVKdaiI8mbF6HdsI6kybx22eFzitZrTerhHWhpd6zL+eJbPZCrF6O4FhlDZkYGZ34PoVxQE4dy9Qf04MCchVhupmW9l3DiDDfirCdKl0+fx1jEBYOzs27Z2rVty9Il1l9t9+8/gIenJ75+vvb5/XzxcHdn/37rCKmlS5bSrl07AEJDQ7FYLLb59+Mf4K9btpbBj7F61WYADh8+iYdHMXx8StiVSU29yZ7dhwDIyMjgxPEz+Jl8AAgKbsSqlZsA2LhhOw0b1tItW5Nmj7Lhj30AHD92EXd3N0qW9HAod6tDyWg04OxszDpHuhARx8WL+nypycmneiDXLkaRbKtr5/4IoUweda3ugB4cmbsQS1p2XbOk3szqQDK6uIA+53NZSlevwuULkVyJjCYzI4Ojv28mMNg+W9r1G1l/O7u56nZSeSeValYnOuIi5kuRZKRnsH3NHzRqHWRX5sjOPaSlpgJw8sAhvP2zj5eH/tpFynV9OmpyC6xZg6iIC8RcvERGegYha9bRuHUruzLmyCjOnQwnU7M/yS1TsQKHd+8h02LhZkoK506GU795M92yValVk8iIC0RfvERGejqbV6+laRv7bDGRUZw9Ge5wAl62YgWMTkb2hu0AIOXGDW7a1q8eClLXKjRugDn8LOZwa8ddytUk/b5AABVrViPmwkVibfUtbO166ueqb0dz1Lfwg4cp6e8HQEZ6Bhnp1hFTTi4uGJS+p1UFOVZlGQuDvQAAIABJREFUpKRi3n/U7j29uFasRnrMRTJiIyEjg2thGyjWwP747tmmA1d//43M69bjuyXJdnzPyEDLsK4z5eQCOq+zgrS5AGWCm5AcFcOVM+d1zQUQUD2QyxejuGrbD078HkLFoKZ2ZXLvB5ptP9A0DWc3V5TRgFORIlgyMkhLvoFePB+tSsqlSFKjotEyMojduAnvu2yftIwMNNt+YHB21n2bArRpE8yyZdZO5wMHDuHp6YGvr49dGV9fH9zd3TlwwHoOsmzZKtq2DQagfPmy7Nq1F4CwsD954vE2uuRqUK08Xh5Fbzt9065jdAiqg1KK2oFlSLqeSmxiEtsPnKJpzYoU9yiKl7sbTWtWJHR/+G0/J7+KV6vC9YuRpERat2f0hs34tXTcDyr3e42z836x2w/cy5clYfd+ANIuXyE9ORmvqoG6ZTPZ2rUk2z4a/nsIj+SxjzYe0IM9udq1R4KaEP57CJb0dJIiY7h6MQpTdf2yeT1ahZRLkaTY9gPzhs34tmj69zPaXN6zD8uNFN3y2GWrVoUbl6KyssWs34xfPrIl7t5Hxg392gxx/yil+iql9uT45/ALrlJqo1LqSB7/2ucsp1kPIrc9eVdKBQDzgZ6alnXiOhqoAjQASpJrlFNepFPpH0ApVUwptUYpddBWWboopSYopXbbXs9SSqk85suzjFIqRCn1qVJqDzBWKXVOKeVsm+aZ83VBGIv7YUnM/gXNcjkWY3E/uzJO/mVwNpXFd9T3+I6ZQ5HqjR0+x61hO27s/KOgcewU8/Phekxc1uvrsfEUM9mfnHhXqYi7vy8XQ3fd9nPKt2lO/PHTZKbrdxmGyd9EVFR01uuYmGj8TfYdQ/4mf6JjsstER8dg8nfshH7hxRcJCdHvkkE/P29izNnrzWyOx8/P+7bl3T2K0aJlI3btPJg9v229WyyZJCffoHhxT12y+fh4EhubPWIzLu4qPr55f/YHM15j6Yrx3Lhxk21bD+uy/NspmruumeMp6mdf10pWqUhRky+X8qhrPtWr0H7Jd7RfPIs/p3ym2yglAA+TD1fN2ZcfJpnj8cjVgQlQv0t7Bq5ZQJshffl9WvYlNMVL+9Nn4bd0/+ETytStoVuukiY/4mOy244Es5mSJsdct7Tp3IF92/S9LPB2vP39iIuOyXodH2PGx+R3hzmynT1xkvrNm1HE1RXPEsWp9VgDfHXs9PU12WeLizHja7rjj1NZHi5fjuSka0z+6nO+W7mEfqOGYTDod4pQkLrmXe4h0ODlrz+gz8JvadKzi265wFrfEqKz61tijBnvO9S31p3bs3/bjqzX3v4mPlzxK99sWcvy2XN1G6UE+h2r9OZU0peM+Ox1lpFgxqmk/TpzKVUG54AyPDRlNg+9/wNFa2cf3528TZT56GfKf7uayyvm6TZKCQrW5jq5uVK9RxcOfDNftzw5ufv5cC0mez+4FhuHu8nxGFqny3P0WT2PlkP6sOkD62ia8I3bSE9Jpf/GRbz+x0/s/vE3UnW8tN3F14ebOfbRm3FxFPF13A98glpSb94cHn1vMkX8stu+In5+1Js3h8eWL+bigp91HaUEYDL5ER2V3b7FxJgx+du3vSZ/P2JyHDtios2YbO3zqVNnaGPrYHryyXa6/uB2J+bEJPx9vLJe+3t7Yk5Mwpxg/77J2wtzQpJuy3X19SE1x/ZMNcfjmmt7egZWwtXkS1zYTrv3r506g1+LJiijAbdS/nhVqYzrHdrE/LLuB9n7aHJsPO652jXfKhXx8PflfK591N3kw7Uc56HJ5jjcc+3fBVHEz5fUHJ+fGpv3fuAX3IJGC76nxtRJFMnjWHY/OGzT2DiK+Dr+302tWtD4p9nUmjrxf5ZN6EvTtFmaptXP8W9WHmXaaJpWPY9/KwCzrbPoVqdRnvcaUUp5AmuAsZqm/ZXjs6M1q5vAHKDh32WWTqV/hieAKE3TammaVh34HZipaVoD22s34Jk85rtTGRdbJZ2E9TrLp23vdwWWaprm0EuSs9d01iyHun1vDEacTA8TN6MvibPGUqL7WJSbe/ZkL2+cH6pI6tE/9Vne3VKKxsP68edH3962SIkKZWn0Vm9C39XvPjJ6GjBwAJaMDJYvW14oyzcaDUybNoJffl5JZGTM38/wPzRy+A90fv49nJ2dqFO3QuGGUYqGw/qx5+O861r8kROs6NSH1S8PpEavrhhd9BsVd7f2LFzBzKdfYdOns2je9xUAkuMS+azdS3zX5XXWz/iKjtPG4lLs9r/W3i8tn3uKitUfZdlsx/u5PGj2bd/B7q2hfLJoAaM/mcHx/QfJzNTvMq6CMBqN1GhQj6+nTqdfxxcJePhhnujkeNnt/ZZXXTMYjTxctzpLR7/HnO5vUqVVM8o3qvM/zwbQ/NkneaTao6z8fl7WewkxZoa178qgx9sT1OEZvLxL/u8C3cWxqrAooxGXgIe59M7rxHw6Dr9+YzEUtR7fMxLMXBj6f5wf2BHPlk9j9PrfrrPbtbm1+73KsZ+WkJGi3yi9e7F/4Uq+e+ZVtn06m8Z9rJd4BVSvgmbJ5Ou2XfjuqW40eLUzXqUD/qe5ErbvYGenF9n7ak8u79pD4Pjs+7LcjI1l76s92fXiS5ieegLnEiXu8En/e6NGTuCVl7uwfMWvFCtWjHQdfwz8R1KKKkPe4MSnXztMurRyHamxcTSZ9w1V3x7A5UNHdR0dejfZWgzrx7YHsF0DiA/dwfYOXdn5Si8Sd+2h2jv63zvpXsVt/5Nt7V/iz5d7k7BrLzUm5nV/ZvEfsBLobvu7O7AidwGllAuwDJiX+7Y5OTqkFNABOPJ3C5ROpX+Gw0BbpdQHSqnmmqZdBYKVUjuVUoeBVkC1POa7U5mcd8SbDfS0/d0Ta4+kg5y9pn37/v19VCxXYjGWzP6V3FjCD8sV+45Sy+VYUg5sA4sFS3wUGeYLOJnKZE0v2qAtKfu2gEXfL17XY+Mp5p/de1/Mz4fr5uxfSp2LuVGyYjmenf0hL62dj1/Nqjz+2WR8Hq2cVb7tJxPZMm461y5FO3x+fnV7tRtr165h7do1xMbGUapU9omiv38AMWb7TpkYcwwB/tllAgL8Mef4da5z5060bt2KwYMdbxqZXy92eZpfF37Brwu/ID4uEf8cv1aZTD7Exub9a+S4CYO4cCGKn3/KbsdiYxPwt613o9GAu3tRrly591/m2nd4jFmz32TW7DdJTLyGn1/2Qwt8fb2Ij7v9Z6enZRAWdoymTR+95+XfjRu565rJhxux9nWteIVyPDH7QzqvnY9vjaq0/nQy3ra6dsvVcxfIuJFC8Yrldct2zRyPV45RNp4mH67Fxt22/JF1WwgMtg61tqSnk3LVun6jj5/i8sUovMs+pEuuRHMsPjlG3nmbTCSaHXPVbNyIzv168f4bb2VdgnS/JcTE2o0u8vE3EW+++5vN//L1LPo/15nRPfqglOJSrnshFESc2T6br7+JOPPd3W8lLsbM6WMniL54CYvFwvYNm6hUTb99oyB1Lckcx4W9h0i5kkRG6k1Ohe7Ev2rl286bX4nmWLwDsutbSX8TCXnUtxqNG/J8v1580H9InvXtcmw8F06doWp9/Tq8Cnqsul8yEuNw8sleZ07eJjIS7ddZRkIs1/eEgsVCRmwU6dEXcA4oY1fGcjmemxfP4Fa1tm7ZCtLm+taoQv23+tB57Xweffl5avZ6iSpd2ue1mHuSHBuPR47RNR5+viSbbz+i5/jvW6hk2w+qPtmKczt2k5lh4UbiFSIPHMW/mn7bOS0uniI59tEivr7cjMu1TZOSsi5zi161Go9Ax+WnxSdw/exZvGrXLHCmV17pwspVi1i5ahFxcfEElMpu3/z9TZhj7Ntec0ws/jmOHf4BJsy29vns2fP06NGPDu27smrVOi5cuFjgfHfDVNKTmPirWa9jEpIwlfTE5G3/vjnhKiZvfUZuA6TGxeOaY3u6mnxIzbE9nYoWxaNCeRp+8wktV/xM8eqPUu+jKXhWrYxmyeTEJ18R9nJf9g0bj7OHOzcuXNItm3U/yN5H3f18SM7RrrkUc8O7Yjk6z/6Qnmvn41+zKs9+Nhm/RyuTbI7HI8d5qLvJl2QdR4fejI2zG5Xl6ue4H6Tn2A8iV6zBs8r9bW9vcdimfr5ZNwvPynY1O9ulFWvw+B9lEw+caVj7Dk4BbWyvUUrVV0rdeoLLi0ALoIdS6oDt362D8U+2/oPDgA8w5e8WKJ1K/wC2u7PXxbphp9humvUV0FnTtBrAd4BrznmUUq5/UybrhiOapoUB5ZRSQYBR07S/7Y28G2nnjuFkehijTykwOuHWsJ21AymHlP0hFAmsB4DB3QsnUxkscdlP3XJr+DgpOl/6BhB39CReZUrjUdofg5MTFZ4IImJr9mio9OQbzAvqzC9PdeOXp7oRe+g4fwyeQPyxcFw8ivHEzCns+ux7zAccn8p2L+bPm89TTz3NU089zfr163m+k/Vm0XXq1ObatWvE5fryFRcbx7XkZOrUse77z3d6nvUbrE+YatmyBa/3e53evfqQqsM9URYtXEPXLoPo2mUQW7b8xTPPWu/RUqNGIMnJ14mPd7wPVv8B3fBwL8aM6fYj2raG7OTZ51oD0KZtM3bvOlSgbCuW/0Xf3p/Tt/fnbA89StvHrU9Oqfrow1y/nkpiov2lAa5uLln3WTIYDTz2WCAXLtz+i60e4o+exLNMadxLWeta+ceDuJirrv0a3JnFT3Vj8VPdiDt8nE1vTSDhWDjupfxRRmszXSzAD69yZUiO0m/UV+TRE5QsW5ritv2g2hOtCA+xHxVYskzprL8rt3iMxAvW/bNoCS+U7fKo4qUDKFnmIS7r0MEKcOrwUQLKlcHvoVI4OTvR7OnH2bU5xK5M+aqB9J88lvffGMLVRMc6eL+cPHyE0uXKYHqoNE7OTgQ9/SR/bdpyV/MaDAY8ilsvdygfWJnygZXZu33H38yVj2yHDvNQubL4P1QaJ2dnWj3zFDvuMtuJQ4dx9/TAq6R1dEHdxo3sbvBdUAWpa2fCduNX6RGcXIugjAbK1q9FvI73uzl9+BgBZR/Gr7S1vjV9qh17NttfNlyuaiB9J43lg/5DSMpR30qa/HApUgSAYp4eVKlXmyg9OwoLcKy6n1JPH8MloAxOfqXAyQmPpm25vtv++J68aytu1axtssHDC+eAMqSbI3Eq6Ydysa4zQzEP3KrUIi1Kv3VWkDZ33WtvZ71/7KelHPr+F04sdPiB955FHz1JiTKl8bJtzypPBHF6q30bUDzHflChRSMu277MJ8XEUqah9Zjv7OZKQI2qJJ6zv7FxQSQdP4HbQw/hGhCAcnLCr01rErbbX1bs4p19qZ53s6ZZN/F28fXF4OICgJOHO141a5ISUfBOmwULFvLcsy/y3LMvsmH9Zjp2tN5guHbtmtZzo1xfqOPi4klOTqa2rUOrY8dn2bjR2gaWtI0gVEoxYGBffvk57xtr661Vg6osD9mPpmkcOHkBj6Ku+JX0pFntSmw/eJqrySlcTU5h+8HTNKtdSbflXj12gmJlSuNWyh/l5ERA21bEbsveDzKuX2dT245sbf9/bG3/f1w5coy9Q8eRdDwcQ5EiGF2tXxm8G9ZDy7A43OC7IMxHT1K8TGk8bftB5SeCOJtjH01LvsGsoM7Meaobc57qRsyh46waPIHYY+Gc3fonlZ8IwujsjGdpf4qXKY35yEndsiUdP4nbww/hGmBdb6a2rYjbZr+PuuQYjerbvAnXz+u3H94x27ETFH04e5v6t2tFbOjts/m1aMJ1HdsI8c+haVqCpmmtNU2rZLtMLtH2/h5N03rb/l6gaZqzpmm1c/w7YJvWStO0GrbL6V7RNC3575YpT3/7B1BKlQISNU1boJS6AvS2TYpXSrkDnYHcT3tzvYsyOc0Dfgbe1S14poUrP83AZ8gXKIOR69tXkhF1Fs/2r5N2/jipB7dx88ifuFZ7DNO7iyAzk6u/fU7mdesvN0bvAJxKmrgZvk+3SLdolkzCps7kya+nYjAYOLn8Dy6fiaBe/+7EHw23O2nPrVrX9niWKUXdvq9Q13Z5xto3RpGaeE9PYHSwZfMWgoOD2bothJSUFIYPG5E1be3aNTz1lPVKxfHjxvPhRzNwdXUlJGQrIVtCAJg0eRIuLi4sWGC9J8T+/fsZO3acLtm2h+6mWbP6rFw9m9TUm0yc8EnWtF8XfkHXLoPw8/OmT9+unD17kV9+tT59YuGvq1i2bD3Ll61nynvDWLHqO5KSrjFqxHRdcgHs/OskjR6rwoKfh5N6M53p07JPGGfNfpO+vT/HzdWFKVNfxdnZCYNSHDhwlpUrrfcSaNa8GoPefA6v4sV4f1oPzpyOZuTwHwqcS7Nk8te0mbT9eirKYOD0ij+4ciaC2m90J+FYuN2Xndz86lSnxmtd0DIsaJmZ/DX1c24WYGRXXtnWvf8FL3/9Acpo5MDydcSdOU9Q/x5EHQsnPGQHDV7qQPlG9cjMyCA16Rorxlmf1lemXk2C+vckMyMDTdNYO+UT3e7vkWmx8N3kD3hn9lcYjQY2LlnBxdNneenNNzh95Bi7N2+lx4ghuBYtyojPrHUoLjqG99+wjsx7/6fvKf1IeVyLujF76+/MHDuJA9v1uYQ202Lhy0nv8/4P32IwGlm/eBkRp8/w6uABhB8+yl+bQ6hcozoTvvoUD09PHgsO4tU3B9D3qQ4YnZz46BfrZVM3kpP5YNgoMnUchWmxWPhs0hRmzJ2NwWBg3eKlnD91mp5vDeLk4SPs2LSFwBrVmfL1F7h7edK4VTA9Bg+i55PPkpmZyddTZ/Dx/DkopQg/cpTVC/X70lWQupZ6LZm/5v1G75+/BjROh+7kVOjOOy8wHzItFr5/dzpjv5+JwWBky5IVXDp9li6D+nHmyDH2bNlGt+GDcS3qxtBPrZnio2P4oP/bPFShPK+OHIKmaSilWPXDfC6En9YtW0GOVQAvrZ2Ps3tRjM7OlA1uwtp+oxyeHHdPMi3Ezp5O6XGfg8FI0uaVpF06S8kur3PzzHGu79nGjQN/UrRWI8p8shAyM4mf/xmZyVdxrdkQn+5vWW/ErhSXV/5E2gX9OjAL0ubeb5olk41Tv6Dz19MwGAwcXv47CWciaNq/OzFHwzmz9U/qdm1P2cfqkpmeQeq1ZNaOt7Zx+39dwZOTh9Nz6WxAcWTFH8SdOnfnBeaHxcLpjz+lxicfoowGYlav5ca585Tr/RrXTpwkYXsYpV/ohHezpmgWCxlJSZx4byoAxcqV5ZFBA7K26aVffuX62bN/s8D8CQkJJSioOZs3ryElNZWRI8dnTVu5ahHPPfsiAO+88x7Tp0/BtUgRtm7dztaQ7QA8++yTvPKK9X5s6//YxOLF+twa4O2Pf2XXkXNcvnadFr2nMahrGzJs7fpLjzeiZb1Atu47Sdv+H+FWxJn3B1qfSlrcoyj9Xwim8wjrPbMGvNCK4ne44Xd+aZZMjk3/ggafW9vcSyvXkXz2PJVe78HV4+HEbrv9DxpFShan/hfTITOT1Lh4Dr4zVbdct7KFTJ1JB9s+emz5HySeieCx/t0xHw3n3B320cQzEZxav41Xls1Gs1jY8v4Xul6ap1ksnPzwM+p8PgNlMBC1ah3Xz53nkb49STp+kvjQHTzcpRO+zZugWSykJ13j6ORpWfPX+/ZzipUtg9HNjWarfuPYlOkk7tTnSZKaJZMTMz6n7ufTUQYDkavWcf3seSrYssWF7qBMl+fxa2HdR9OvJnEkR7YGsz7LytZi1SKOvjeDhL/0f8rlP8l9fF7Vf47S/gdP8hEFo5R6HJgBZALpwBtYr298CetjAsOBCE3TJiql5gKrNU1brJSacpsyIcAwTdP25FiGP3AOCNA07W56R7RLverr9V/UzUPf72FWrbaFHSNPfQ9uoFxZ/S5d0tP5iHPUqfX03xf8H9t/cA0ArVo+eNeEb95qPVDPrf3g1bceBzYwuWarvy9YCCYc2kyHwMK5H87fWX5yP49Xql7YMRz8cco6eDSoQtVCTuIo5Iz1Uc8PYn2bcMj6pMoXqtQr5CSOfjux94E+Vp3q3KCwY+Sp0uLdD2ybCzCjlj5PFNPT8IMbAdjapEUhJ3HUcsc2KlYo+GVy98PpM4fg6JLCjpG3ap1Y1+DBa3Of3G1tcz97ANu2wQet++jGRkGFGyQPbXaGALC+YXDhBslDu11bABweBvVv0eSx3g9kR8iOv2b/49a5dM/9A2ia9geQ+xqwPYDD8BNN03rk+HvcbcoE5bGYZsDiu+xQEkIIIYQQQgghxH+cdCoJlFJfAE8CTxV2FiGEEEIIIYQQ4n4yKGNhR/jXkE4lgaZpgwo7gxBCCCGEEEIIIf5Z5OlvQgghhBBCCCGEECLfZKSSEEIIIYQQQggh/jOUQS5/04uMVBJCCCGEEEIIIYQQ+SadSkIIIYQQQgghhBAi36RTSQghhBBCCCGEEELkm3QqCSGEEEIIIYQQQoh8k04lIYQQQgghhBBCCJFv8vQ3IYQQQgghhBBC/GcoJV0hepGRSkIIIYQQQgghhBAi36RTSQghhBBCCCGEEELkm4z5EkIIIYQQQgghxH+GUsbCjvCvoTRNK+wM4p9JKo4QQgghhBBC/Hupwg5wv7RsPuSB/D67NfSTf9w6l8vfhBBCCCGEEEIIIUS+yeVv4p5d6Fa/sCM4KDN/zwOZC6zZGpavVNgx8rTr3Clq1mhX2DEcHDq8HoC6tZ8r5CSO9h1YCUDdchULOYmjfedP06da48KOkafvjv5Jm4rVCjtGnjaePsoLVeoVdgwHv53YC8CQ6s0LOYmjT46EAhA39MGrb74f/QnA9qYP3nprFhZKk0cCCztGnnacPcnoGkGFHSNPUw+HUL/8g9fm7jl3GoCXqzYo5CSOfjq+G4CgClULOYmjkDPHKVe2fGHHyNP5iHOsa9CqsGPk6cndm+HoksKO4ahaJwBSl40p5CCOXDu+D0DXqg/ed4Rfj+8BeCCPCTvOnizsCPeVPP1NPzJSSQghhBBCCCGEEELkm3QqCSGEEEIIIYQQQoh8k04lIYQQQgghhBBCCJFv0qkkhBBCCCGEEEIIIfJNOpWEEEIIIYQQQgghRL7JLc+FEEIIIYQQQgjxn2FQxsKO8K8hI5WEEEIIIYQQQgghRL5Jp5IQQgghhBBCCCGEyDe5/E0IIYQQQgghhBD/GcogXSF6kZFKQgghhBBCCCGEECLfpHtOCCGEEEIIIYQQ/xlKSVeIXmSkkhBCCCGEEEIIIYTIN+lUEkIIIYQQQgghhBD5JmO+xH3lWqMxJboNA4OB6yHLSVr9o0OZog3b4PV8XzRNI/3CKRK+HgeA0dtEyV7jcSppAjRiPxyMJT76X5/tsRbNGfrOOAwGIysWLmLeN7Psptdp2IAh48dSsUog494cwuZ1vwNQqWpVRk2ZRDF3dyyZFubM/JqNa9bqkimnkaP607x5A1JTbzJ+3IccP37aocygQT149rm2eHq681ij9lnv+/v7MuW94Xh4uGM0Gvj00+/ZHrpbt2zDR/ShWbP6pKbe5J0Jn3LixFm76a6uLnwwYyQPPRRAZmYm27bu4ovP5wHg7OzEu1OGULVqRa5cTWLUyBlER8XqkqtJyxYMmzAOo9HIsoWLmPv1t3bT6zZswNAJ46hUJZDRg95ik22bAjzTqSO9Bw4AYPbML1m9ZJkumW6p1uwxuo56C4PRSOiSlfw+e77d9Lbdu9Ks03NkZli4dvkKc8e9R2J0DACdhg6gZosmKGXg2J+7+HXqJ7pma9CiGf3HjcJgNLJu0RJ+/Xa23fQaDerRf9woHgmszJS3hhP6+/qsaX1GDKVRcAuUUuwL+5Mv352qW67azRrTc+wwDAYjmxYvZ/l3c+2mP9PjZVp37oDFYiEp8TJfjZ1EfFQMPqX8Gf7FRxgMCqOTE+sWLGTDwiW65QKo0rQhHUcNRhkN7Fyymk3f/2Q3vcmL7WnatSNaZiY3b6SwaOIMzGfPU9TLkx6fvEuZ6lXYtXwdS9//VNdcAM6Bj+He4S2UwUjKzpWkbLava8WeG4xLxbrWFy6uGNxLkDCuHcZSlfDoNBzlWgwyM7mxaS43D2zSNVvxRg155K3BKIMB86rVXFpgv978nnqS8v37czM+DoDoJUsxr1qdNd1YtCh1f5pPQmgoZz/Wd901atGctyaMxWgwsGrRb8z/5ju76bUb1Gfw+DFUqBLIO4PfZsu6P+ymF3Uvxs9/rGXbho18PPFd3XJVbtqQZ0YOxGA0snvpGrZ+/7Pd9IYvPEfjlzqQackk7UYKyyZ9SOzZiKzpXv5+DFnxI5u+mkvojwt1ywXQuEULhtmOo8sXLuLHb+zb3DoNGzB0/DgqVglk7Jv2be7nc3+gRp3aHNi9hyG9++qaC6Bms8Z0GzMUg8FAyOIVrJptf+7xZPf/I7hze1v7cYXvxk0mPsra5s4/8hcXw88AEB8dw8cDhuqarWGLZgwcPwaj0cCahYv5OVebW7NBfQaOG02FKpWZPHgoW3O0uX4BAQyf+i5+Af5omsaoXq8TExmla753Jr5DcHAQKSmpDBs2jKNHjjqUqV69Oh9+NANXV1e2bAlh0sRJAIweM5o2rVuTlp7OhYgIhg8fTlLSNV1y+TRuQNWhA1EGA5dWrOXsj7/kWc4U3Jy60ycR9mo/ko6Ho5ycqD7mbbyqVkbL1Dj+0UwS9x3UJRPA6JlLCNlzAm+vYqz+7C2H6Zqm8d73q9m67ySuRVyYNrAT1SqUBmDZln18vXgLAG90DqZjcF3dcgGEnYzhg1UHydQ0OjYoT6+gQLvp0VduMG7RHq6lpJGpaQx+ojrNqwSQbslk0pK9HI+8giVT49m6ZegVXEXXbLWaNab7mGEYDAY2L17Oylz76FPdX6aVbR+9lniZb3LsowBuxYrx4epF7Nm0lTlTpuua7V6PB/6lSjGEWVD6AAAgAElEQVT1m5kogwEnJycWz1vA8p9/1TWb+G+TTiVx/ygDJbqPJPaDAVgSzfhPnseNfdvIiDqXVcTJ9DCez/YkZnIvtBvXMHiWyJrm/fpkklb+QOqRnagibqBl/uuzGQwGRkyeyMBuPYiNieHHFUsI3biZc6ezO25iIqOYPHwkr/TpZTfvzdQUJg4dzsXzEfj4+TFv1TL+2hZK8jV9TpoAmjVvQNmypXnm6Z7UrFmFcePe5OWX33Qot3XrX/zyy0pWr5lj937f119m/R/bWLRoNY88UoYvv5rCk0+8qku2ps3qUaZMKdo/9zo1agQyeuwbdO823KHc/B+Xs2fPYZycnPh21rs0aVqXHWH76NCxLUlJybR/7nXaPd6cwYO7M2rkjALnMhgMjJw8kf6vdMccE8OClUvZumGT3TaNjopi4rARdOvT225eTy8v+g4exCvPdkTTNH5avZytGzZxLSmpwLkAlMHA/40dyid9BnPZHMvYhT9wcEso0WfOZ5W5cDyc917sSVrqTVp26UjnoQOYNWw8FWrXoGKdmkzs2A2AkfO/oXKDOoTv3q9LNoPBwKCJYxnZvQ9xMWa+XLqQHZu2cOH0mawysVHRTB8xlhd797Cb99E6talWrw59n+4IwKcL51OrUQMO7ix4B6bBYKDXhFG8+1p/Es1mpv42nz2bt3LpTHbbce74SUZ27kZaairtunam27DBfPL2aK7ExTO2aw8y0tNxLerGR6sWsWfLVi7Hxhc4F1i3Z6dxb/NNnyFciYljyMLvOLIlDPPZ81ll9q7ZwI5FKwCoFtSU9iMGMqvfMDLS0lj3xWwCKj2Cf8XyuuTJFQ6P54dy5dvBZF6NpcRbP5B2NBSLOTvb9ZWfcd32t2uzzjiVtn3JSEvl2i+TscRfwuDpQ/Ehc0g7sRMtNVmfbAYDFYa+zZG3hpAWG0ft2d+RsD2MlPPn7YrFbd502w6jsn16c/WAfl8Gs6MZGDZpAoNf7UlsjJnvly8mdONmzufYD2KiopkyYjT/1/u1PD+j75C3OLBbv857sNa158YO5vu+w0iKiWPAr99wfEuYXafRwbUb2fXbSgCqBjXh6eEDmPPGiKzpTw8fQPj2nbrmguw2d0A3a5s7b8VStm3c5HAcnTjcsc0FmD/rO1zd3Hj+pa66Z1MGAz3Gj2Bqr4Ekms28u+hH9m3ZRmSO9iPi+EnGvfAqaak3ad21Ey8Ne5Mv3h4DQFrqTcY8/7LuucC63gZPHM+w7r2IizHzzbJFhG3aQoRdmxvFtBGj6dLHsa6N+XAa87/6lr1hO3ArWpTMTB3P2YCg4CDKly9HUMtg6tSpzXtTptChQ0eHclPem8LoUaPZv/8Ac3+cQ1BQS0JCtrI9dDvTP5iOxWJh1KiR9O/fn2nTPih4MIOBaiMGs2vgcFLNcTT58Wtit+0g+VyEXTFjUTfKde3ElcPHst57uOPTAGx/qTcuJYpT/7Np7Oj+BmhawXMBzwfX5ZUnH2Pk57/lOX3bvnDORyew/suhHAy/yMRZK/jtg/5cuXaDmYs2sWT6AJRSPD98Jq0aVMXL3U2XXJZMjfdXHODbXs0weRXl/2ZuJqhqABVMnlllvtt8nMdrlubFxypwxpzEwDlhrBsVwIbDl0jLyGTJkLakpGXw/McbeKLWw5QuWUyXbMpg4LXxI3mv1wASzGbeXzSPvbn20fPHTzDmhcWkpd6kbddOvDzsTT6z7aMAL77ZjxN79DkXyqkgx4P4uDj6du5Celo6bkWLsuD3VWzfuJn4WH1+PBVC98vflFLnlVI+en9uHsuZqJQadr+Xk8dyZyulHv2bMj2UUqUKuJzJSqk2tr/fUkoVzTFNpzPpPJdbXyn1uR6f5VKhGhnmi1jiIsGSwY2/1lO0Xku7Mu7BHbm2cRHaDWvHR2bSZQCcSpUHg5HUI9YTTu1mClraTT1iPdDZqtWqyaWICKIuXiQjPZ31q9bQom1ruzLRkZGcPnGSzEz7k44L585z8bz1JCY+NpbLCQmU8C6pS65bgoObsGrlBgAOHTqBh0cxfHwcl3Ho0Ani4xMd3tc0jWLu1qrs7lGMuLgE3bIFBTVi9Wrrr2qHD5+0ZSthVyY1NY09ew4DkJGRwfETZzCZfLLnX7UZgE0bw2jQsJYuuarXrsWliAgibdv0j1VrCGrXxq5M9KVITp04SWauzsnGLZuzc3sYSVevci0piZ3bw2gS1EKXXADlazxK3MVLxF+KwpKewe61G6kdbP/5J3ftIy3VWr/PHjxKCX8/wLotnV1ccHJ2xtnFGaOTE0kJjtv8XgXWqkFUxEWiL14iIz2dkDVradom2K6MOTKKcyfDHfYFDQ2XIreyuWB0cuJyvD51rWLNasRcuEjspUgy0jMIW7ue+q2D7Moc3bmHtNRUAMIPHqakbZ1lpGeQkZ4OgJOLCwal7yG4TI2qxF+IJOFSNJaMDPav20T1Vs3syty8fiPrbxc316wvL2kpqZzbf5j0m2m6ZrrFqcyjWBIukZkYBZYMUvdvxKXa7euya5123NxvHQVhib+IJf4SAJlJ8WjJlzG4F9ctm0fVqqReiuRmVDRaRgZxmzbh3bzZ389oUyywMs4lS3JF544bgEezjgnW/WDj6jU0z3VMiImM5MyJk3l+iQ+sXo2SPt7sCg3TNdfDNaqQcCGSy7a6dnDdZqoGN7Urk7uuaWTvp4+2asblyGjMp8/rmgugWq1aXMzR5q5ftYaWbXO1uVnHUcd1tnvHn9xIvu7wvh4q1KyG+cJF4i5FYknP4K+1G6jXyv7c49iuvVlt7umDhylp8rsvWXKrUqsmkREXstrczavX0rRNK7syMZFRnD0ZjpZrvZWtWAGjk5G9YTsASLlxg5u2NlAv7dq2ZemSpQDs338AD09PfP187cr4+vni4e7O/v0HAFi6ZCnt2rUDIDQ0FIvFYpt/P/4B/rrkKl6tCtcvRpISaW0/ojdsxq9lE4dylfu9xtl5v2BJy25j3cuXJcH2Q0za5SukJyfjVTXQYd571aBaebw8it52+qZdx+gQVAelFLUDy5B0PZXYxCS2HzhF05oVKe5RFC93N5rWrEjo/nDdch25mMjD3sV4yNsdZycDT9R6iJBjuUe1KZJTMwBITk3H19PV9q4iJS2DDEsmN9MtODkZcHd11i1bzmO8JT2DHWvXU/8O++ipg0coaTJlTSv/aBW8fLw5FPaXbpluKcjxICM9nfQ06/mHs4sLyiB3wBH6eqBqlLpPt2DX83M1TeutadqxvynWAyhQp5KmaRM0Tdtoe/kWcPujgo40TdujaZrj0JN7YCzhhyXRnPU6IzEWYwn7kyMn/zI4B5TFNP57TO/MwbVGYwCcA8qg3biGz5vT8X/3J4p3fRN0/AL2oGbz9ffHHJ19GV1sTAy+/qY7zJG3R2vVxMnZhUsRF3TJdYufnzcxMXFZr83mePz8vO96/q+/ms8zz7Rmw8af+OqrKUyd+pWu2cw5ssWaE/C9QzZ3j2K0aNGQXTutowt8/byJibGOGLFYMklOvk7x4h4FzuVrMhETlWObRsfgZ7q7beqXa15zPua9G8VNviRGZ/9KddkcS3GT723LN+v0LEdC/wTg7MEjnNi1jw9DVjEjZDVHw3YSczbitvPml4/JRGyOfSEuxoz3Xf7fj+8/yIG/drHozxAW/RnCntAwLpw5+/cz3oWSJj8SorPbjsQYM953WGetO7dn/7YdWa+9/U18uOJXvtmyluWz5+o2SgmguJ8vV2Kyt+dVcxxefo6/8TTt2pGx637l2aFvsHTqZ7ot/04MXr5YrmRny7wai9Er7/VmKOGPoWQA6af2OkxzevhRMDpjSYjULZuLry83c/xaezM2Dhdfx/Xm0zKIOj/OpcqUd3Hxsx0vlOKRgQM5N/NL3fLk5OtvwhydfVlFXLQZ37vcD5RSDBozki+m6jAaIxdPP1+u5mhvk8xxeOWxHzzWtQPD1v7EE2/3Y9VU6+9VLm5utHztJTZ97XjJuR78/E0Ox1G/eziO3g8l/XxJiMnRfpjNlLhD+xHUqT0HQ7PbD+ciLrz7249M+vUH6rVuedv57oWvyY+4nHUt5u7r2sPly5GcdI3JX33OdyuX0G+U9dIhPZn8TUTlOB7GxETjb7LvGPI3+RMdk10mOjoGUx7b/oUXXyQkZKsuuVx9fUg1Z7cfqeZ4XH3tt6lnYCVcTb7EhdmPzLt26gx+LZqgjAbcSvnjVaUyrneoD3ozJybh7+OV9drf2xNzYhLmBPv3Td5emBP0GSENEJuUgr9X9tcaPy83zEkpdmXeaFOVNfsv0Pb9tQyYE8ao52oD0KZGadxcnGjz/hoen7aO7s0r4VXURbdsJf38cu2jsXfs2A3u1J4Dtn1UKUW3kUNYMF3/y8ehYMcDAL8Af+atXcnysBAWfPudjFIClDI+kP/+iQrU4iuliiml1iilDiqljiilutgmDVJK7VNKHVZKVbGVbaiU+lMptV8ptUMpFWh7v4dSaqVSajOwyfbecKXUbqXUIaXUpBzLG6uUCldKbQfu2JWvlApRSn2qlNoDDFZK+Sqlltg+d7dSqqmtnLtSao4t6yGlVCfb++1sefcppX5TSrnn+Nz6tr+TlVKfKKWOKqU22ZbRGagP/KSUOqCUchgrqpRqoJRaavu7vVIqRSnlopRyVUqdtb0/VynVWSn1JtYOqi1KqS05PuM923r/Syl12xbF9jnfKKX22NbdM7b3XXP8v/crpYJt7wcppVbf5rP62j5nz6xZs/Iqkm/KYMTJ9P/s3XdcVfUfx/HX914QHICKMlzgyNwj994L03KV7enIkSMzTc2RablXaWllZuUeuCfDmZpbceLAwQVEQVQULt/fH/cKXMFBXoN+fZ6Phw/hjHvfnHPP95z7Pd/v9xTGNKYrUd8NIe8HQ1A5coHBAafnK3P9j6mED38bB49C5Kzfxi7v+f+Q7VHc8+dn5KTxfPnpILSdmlDbSyu/RqxcsZFmTd+gR4+hjBkzEKXUP57DaDQwduwAFvyxmsuXTY9fQVDjxRb4li3Fhp8sY83kL1II72I+DGzyEgMbt6VUjSo894J9Wnc9rQI+RfApXozOdZvwap3GVK5Vg3JV7TsexJOo16YVxcqWwf/HecnTroWbGPBSZ3q3eImGL7+Im51bEz6JHQuW81WrzqyeNIvm3ezT/dSenCo15d7hgDTdig0u7ri8/gU3F4y2W/eQJxW9fQd7O3biwDvvcmPvXkoOtXR18G7fjuhdu7kXGfmYV/jntX/zdXYFBhMZnnll3O4FK5jg9wbrJ39P466WrrJNerzL9l8Xc+/Onces/d9Wp00ripUrzeofU8Ye69OkLcM6vcOMAcN4a3B/PAoXzMSEKYxGI+WrVWHm2HF0b/cK3oUL07JD2q5pWUHPXj0xJyayYvmKf+YNlaJUv484MWVmmlmX/NcRHxFJ7XmzKN2/J9cPH0vTCuy/at2hMNpW8WHT5358+14dhizaS1KS5mhYNEaDYtPnrVn7WUvmbTvNpWvPrAPHI9W1HqOrrOf45q914kDwDqJNWbOyJuJqOG/7teWVRs3xa9+OPPme/KawEI/ztC14WgJXtNatAZRSbsA3QJTW+gWlVA9gAPAhcAKop7VOtHbrGgN0sL7OC0AFrXW0Uqo58BxQHVCAv1KqPnAL6AxUsubeD6S9jWkrm9b6fgXQ78BkrfV2pVQRYANQGhgGxGity1uXy2PtvjcUaKq1vqWU+gzoD4x64PVzAvu01v2UUl8Aw7XWvZRSvYABWut9D8l1wPp3ANQDjgLVrH+XzW0MrfU0pVR/oJHW+v4t7ZzAbq31EKXUOKALMPoR28EXy/YsjqVyqgTQ0/Lyury14m+jUqrkI14DrfUPwP3aJH1x26MrlszXIzDmTanvcsjrgfm6bUGbGB3BvbNHwWzGHHmFxPCLOHoWwRxt4t7Fk5buacDtvwJxKlGOW/a5sZRls0WGh+Pp7Z38u4eXV4a+EOTMlYvJP81m5oTJHD148OkDAa92bkOHDn4AHDt6Ei+vlLtonp75iIh48m5F7dq14KPuQwA4fCgEJ6ds5MnjRnT0jb+V7ZVX/WjX3tK0/dix03h65QdCAPDwdCfyIdmGDuvFxYtX+P03/+RpkRHX8PKy/D1Go4FcuXJy48bTj0cVaTLhVSDVPvX2IsL0ZPs0wmSias0ayb97enuxb7f9xiC5YYokr3fKHbg8nh7cMKX9cly6ZjVad32X8e/2SO6+VblJA0IPH+PubcsXw6Pbd1OsUjlO22mQ0SiTCY9Ux0J+L0+uPeF2q9usCccPHib+tqX7zZ6g7ZSpXImj+/Y/da5oUwTu3illR14vT66ls83K16pO++4fMPytLsnbLLXrEVFcPH2W0lUrs3uDfQadvhERSW6vlP3p5pmfmEe0hDqwbgsdh9l3oN+HSYqJxJg7JZvBzQNzTPoVMU6VmxG3bILNNOWUA9cPJ3Jr3fckXkw7OO/TuBcZiZNHSjYnj/zci7TdbompxjELX7Ua3x4fAeBSriyuFSri3f5ljNmzoxwdMd++w4UHBob+uyLDTXim6qaT39uTyCc8Dsq9UJmK1arQ/s3XyJ4jJ46Ojty5fZuZ4yY+da7YiEjcUp0LXD3zE5POcXDf4XVbeXloPwAKly9N+WYNaNWvO84uudA6icR799j1h30eQhARbkpzHo3IxIq11KIjInFP1XImr6cn19PZbmVrVeelbu8x+u1uNuXH9QjLspGXLhOyZz++pZ8nIsw+rfYiTRHkT/1Z83ryz1pkuIkzx09wNczSTXX7pi2UqVQRFj/dgwjeevstXutsGdvq0OHDFEh1LvXy8ibcFG6zfLgpHG+vlGW8vb0wpdr3HTt2oEmTxrz+mv3GpYqPjMI5VUsWZ898xKeqZHbIkQOX4kWpPsvyIAsn97xUmTiavz4ZSmzIKU5MTmmxXfPH6dy+eMlu2R7HM68r4VExyb+HX4vFM68rnu6u7Dma0rrXdC2G6uWK2e19PVyzEx6T0j02IuYOnq629+CX7z3PzPct3ZAr+rhzN9HM9dt3WXcwjNolPXE0GnDP5UwlH3eOXb5BIfdcdskWHRHxwDHqkW4lUbla1WnX7X1Gvt01+Rh9rlJ5SlWpTPPXOuKUIwcOjg7E377NH5Nm2CXb05wPUouKiCD01GkqVaua5sEOQvxdT9s29QjQTCn1jVKqntb6fsm0zPr/X1gqNADcgMVKqaPAZKBsqtfZpLW+PxhHc+u/A1gqjkphqWSqByzXWt/WWscC/jxe6seJNAVmKKUOWtd1tbY+agokt1vXWl8HagJlgB3W5d8BfNJ5/aRU7zEfeKJBGLTWicBZpVRpLJU9k4D61r9x2xO8xD3gfmui1Nv4YRZprZO01qeBUCzbtK41M1rrE8AF4JGVShl1L/Q4jl6FMeYvAEYHctRszp39wTbL3PkrEKfSVQAw5HLDwasIiZGXuRd6HEMOFwwulnEznMtUJeHyuTTv8f+W7fjhIxT29aVAoUI4ODrSvE1rtm1+si+cDo6OjJv1LWuXrUh+Ipw9LFywilc6fcQrnT5i69adtGnbDIAKFUpxM+5WumMnPUx4eCQ1alrqU4sWLUy2bNn+doUSwKKFa3nt1b689mpfAgP+5MUXLWPulC//PHFxt4mKup5mnR493yBXrhxMGG/7VJugoD282MYyfkSTpnXYu/fw386V2rFDhyns65O8T1u0aU3Qpifbp7uCtlGzXl1cXF1xcXWlZr267Ap6kiLiyZw/GoJHkcLkK+iN0dGBan5NORRg+/qFS5XkzeEDmdHrU25Gp2zP6KvhlKxaGYPRiNHBSMmqlblqx+5vJw8fpaBPEbwKFcTB0ZGGrf3YuSXg8StiGcC7YvWq1mwOVKhe1W7d384cOY63T2E8ChbAwdGBOn7N2bfVtkbZt/TzdB05hG969CM21TbL6+lBNicnAHK6ulCqSiWunLPfNgs7eoL8RQqRt6A3RgcHKrdqwrGA7TbL5CtSKPnnMvVrEfUPfYFJDAvBmK8whrzeYHTAuXJT7h1L+1k2evhgyO5C4vkjqSY64PreN9zdt87SgsnObp44QfZChXDy9kY5OJC/SROit9tuN0f3lDu67nXrcPuCZb+dGvkl+zp0ZF/HVzj37XdErF9vtwolgJDDRyjk64u3tfxo+mJrtm/e+kTrjuw3gPZ1G9GhfhNmjP2GdctX2KVCCeDS0ZPk8ylEnoJeGB0cqNiqMSGBO22WcS+S0orm+fo1ibpoqfz44d2PGdeyM+NadmbH/CUEzv7NbhVKAMcP25a5zdu0JvgJz6PPWuiR43j5FCF/wQIYHR2o6deMvwJsrz18SpfkgxGDmdjzE5vyI4erCw6OlrFjcuV2o+QLFWwGD35aJw8foZCvT3KZ2/jFJy9zTxw+Qi5XF9zyWsYxfKFWDZsBvv+uX+f9ip9fa/z8WrNx40bad2gPQOXKlbh58yaREbYVcpERkdyMi6NyZct1RvsO7dm4yTIOZIMG9enWvRsfftCFeDuO9xRz/AQ5ixQkewEvlIMD3s0aExG8K3l+4q1bbGnWjqCXXifopde5cfR4coWSwckJo7NlrCD36lXQieY0A3w/S42rlWZF4AG01hw8eRGXHM545HWlbqXn2H7oDDFxd4iJu8P2Q2eoW+k5u71v2UJ5uHgtjkvRt0hITGL9oUs0KGM7aoh37hz8ecZSmRMaEcu9hCTy5nTCK3cO9py17Pfb9xI5EhZN0fxPP1TBfWePHMfLp3DyMVrbr3maY9S39PN0GfE543v2tzlGZwwcRq8mL9K7aVt+GzeFbSvX2q1CCZ7ufJDfyzP5+sPF1ZUKVV/gQqj9yo9/K6UcsuS/f6OnSq21PqWUegHwA0Yrpe6fte+PWmxO9R5fAgFa63ZKKV8gMNVLpR4RUQFjtdY2V2VKqbTPwny81K9rAGpqrW3OJA/peqOwVHS9lsH3y0h7/GCgFZAAbAbmAkYg7eOq0krQKf2aUm/jJ831z/QbSDITPW88Hp9OB4ORW8H+JFwOxa19N+6dC+HOgWDij+zCuXxNvL9ehE5K4saCaSTFWeomb/wxFY9BM0Ep7p0PIS7Ajo9Sz6LZzGYz44ePZNq8nzAYjKxavITQ02fo2q8PIUeOsG3zVkpXKM+4Wd/h6uZKvSaN6Nr3Yzq38KNp61ZUrl4Ntzx5eLGj5cJr5IDPOB0SYpdsANu27aFe/eqsWTuX+Pi7DBua0ppg0eKZvNLJcve+X78P8WvdCGdnJzZt/o1lS9czc+avTBj/PcNH9OOtt9qjNTbrP63t2/ZRt24VVq76nvj4u4wYnjLe/B8Lp/Daq33x8HDnwy6vci40jN8XWO4aLlywhhXLN7Fi+Sa+/Ko/K/2/Jyb2JoPt8OQ3sOzTb74YybfzfsZgNOK/aDGhp0/TvV8fjh85SvDmLZSpUJ6J38/E1c2V+k0a071fHzo1b0VsTAxzpn3LfH/L52v2tBnExsQ85h2fXJLZzO9fTaTvD1NQBgM7lq/mytlztO3VhQvHQjgUsJ2OA3rhnCMH3Sd/BcC1qya+7TWQvzYGUKpGVUYsn49Gc2z7bg4Hbn/MO2Ys2/SRX/H1zz9gMBpYv3g5F06f5Z0+vTh19Bi7tgTwfPlyjJg5lVyurtRq3JB3+vTkw1YvEbx+I5Vq1WD2Gst22xu8nd1bA+2W68cvxzHkxxkYDEYClq7k0plQXu3dnbNHj7MvIJi3Pu2Dc47sfDLFMpZN1NVwvunRn0LFi/L2Z/3QWqOUYtVPv3Lx1JnHvGPGsi0dM5lu30/EYDTw5/I1hJ89T8ueHxB27ATHAndQ7/X2lKxZFXNiIrdjb/L7518lrz9swyKccuXEwdGB8o3rMavrJzZPjnvKcMQtm4hb1ykoZSB+z2rMpnPkaNGFxEsh3Dtm+ew4VWrK3YObbFZ1qtgEx2KVMORwxbmapdVk7ILRmK+ctk82s5mzkydTbtJEMBowrV7D7XPnKfLhB8SdOEH09h0U6NSRvHXrQKKZhJuxnB49xj7v/dhoZiaNGMXkX+ZgNBhZvXgp506f4cO+H3PiyFG2b7GcE8bOnIGLmyt1mzTigz69ebPli880V5LZjP+Yqbw/azzKaGDf8nVEnD1P057vcfnYSUICd1LrtXaUqFkFc6KZO7E3WTxk7DPNdN/98+j0eT9jNBjxX2wpc7v160NIqjJ3/KyZ1vNoY7r27cOrLVoBMHvRH/gWK072nDlYs3M7Xw4azO5g+1TmJ5nNzB09js/mTMNgMBK0zJ/LZ0Lp0Lsb546GsD8gmNet5UefyV8DlvJjUs9PKFisKB+MHExSUhIGgwH/2b/YtVLJbDYzdeRoxs+dg8FgYN2SZZw/fYb3+vbm5JGj7LSWuaNnTieXmyu1Gjfi3T69ea9VG5KSkpg5djyTfv0ZpRSnjh5j9cL0nzj2dwVsDaBRo0YEBQdy584dPh2Q8iTBtWvX4OdneZLasKHDmDBxPM7OzgQGBhEYEAjAyFEjyZYtG/PnW7oTHjhwgCFDhj51Lm1O4vi46VSb9g3KaOSS/zriQs/zXLd3iQk5RUTwzoeu65Q3N1Wnj4OkJOIjozg03L7HSP9JC9hz9BzXb96i/odf07tzUxKtg5W/1qIGDao8T9D+kzTrMZHsTo6M6WXpQJLbJQc9OjWi40DLPfeenRqT+xEDfmeUg9HA4LaV+Oin7SQlaV6u6ksJT1e+3XiMsoXy0LBMAT5pXYFRy/Yzf/sZlIJRnaqilKJzreJ8sWQf7SZZHuTwUhUfSnq7PeYdn1yS2czPo8fz+ZzplnP8Mn8unQmlU+9uhB4N4a+AYN749GOccmSnb/IxamJCz/52y/AwT3M+8C1RnN6fD0q+/vhj9k+EnrTf4OtCqKcZc8X6hLNorXW8dayeD7F066qqtY6yjj00QWvdUCm1HJivtdoiJEEAACAASURBVF6qlBoBvKu19lVKvWtdvpf1NZtjqYBqorWOU0oVxFLxUghLxUsNUrq/fa+1TvdbqVIqkFRd0Kzd3w5orcdbf6+ktT6olPoacNZa97VOz2N9/b+AxlrrM0qpnEBBayVa8usqpTTwmtZ6gVJqKOCpte6tlFoFTNJaP/QWj1KqITAPmKe1HqqU2g14AsW01lopNRdYrbVeopQ6ArTVWp+zrhuntb4/xlNH4EWt9bsPeZ+5gAfwIlAUCAJKAD2AslrrD6zd3jZhaalUy/r3Pe6KVF98q+pjFvnnFfl1H1kxF1iyVS9qvzs99rTn3GkqlG+e2THSOHzEctHwQqW2mZwkrf0HLY0lX/AtkclJ0tp//gxdytbK7Bjpmn1sF01LlH38gplg85ljdCpVJbNjpLH4hKWnd79y9TI5SVqTj1q+bEd+kvU+b/knWloLbK+T9bZb3R3bqF3Mfk95sqedoScZXL5hZsdI19gjgVQtmvXK3H3nLJXDb5SulslJ0votxPJUwobFS2dykrQCz4bg61M0s2Ok6/yFc6yr1vjxC2aCVnu3wrGn61r4TJS1VErFL/88k4Ok5dzOciOgc+ms9x1hQYhltJSseE7YGXoSLI0t/i81bzo2aw0+a7Vx8+B/3TZ/2u5v5YE91i5iw3n0uD7jgLFKqQM8omWN1noj8Duwy1qZsgRw0Vrvx9LV7BCwDsjos3s/BqpaB+M+DnS3Th8N5FGWgcYPYRm7KBLLE9z+UEodBnZh6TL2oFtAdWuXvsakjLk0F5j1sIG6rf7EUol0v03lYeCITr+W7wdgfeqBujPoIrAHy3brbm2t9R1gsG7jhVgq+e4+4jWEEEIIIYQQQgghkj1t97cNWAa8Ts031fx9QEPrz7uwHbNnqHX6XCyVMKlfdyqQ5jnHWuuvgK8enP6QbA0f+D0KeDWd5eKwjJn04PStWAbPftzrpmnvqLVeCjzyFoLW+g7glOr3rg/MfzfVz9OB6al+z5Xq5yVYKt4eZbPWunvqCdaKpffSyRWIbddEIYQQQgghhBBCiDSetqWSEEIIIYQQQgghhPgP+ncOL56KUupboM4Dk6dqrX9+1u+dusXQw1jHknqww/hn1lZedqOUGgJ0emDy4oeNtSSEEEIIIYQQQvwXKcO/vioky/jXb0mtdc/MzvAoWut2/9D7PHHXQCGEEEIIIYQQQoinJd3fhBBCCCGEEEIIIUSG/etbKgkhhBBCCCGEEEI8KaWkKsRepKWSEEIIIYQQQgghhMgwqVQSQgghhBBCCCGEEBkmbb6EEEIIIYQQQgjx3yHd3+xGWioJIYQQQgghhBBCiAyTSiUhhBBCCCGEEEIIkWFSqSSEEEIIIYQQQgghMkwqlYQQQgghhBBCCCFEhimtdWZnEP9O8sERQgghhBBCiP9fKrMDPCstW07Pkt9n16/v/a/b5jLkufjbAmo2yOwIaTTaHcTG6o0yO0a6mu8JoJJv8cyOka6D58/yXImKmR0jjdNnDgFQrmzW26dHjwUAUNanaCYnSevYhXN0Ll01s2Oka0HIPkr5+GZ2jHSduHCel5+vnNkx0lhx8gAAm2s0zNwg6Wj6ZyAAp9pVy9wg6Si5fC8AJ16qnslJ0iq1cg9Vi5bI7Bjp2nfuDB1KvZDZMdK19MT+LFvmAllyn+47dwaA+sVLZ3KStILPhuCbRc8H5y+cZ2rFZpkdI119Dm0ifvnnmR0jDed2Yyw/HFuauUHSU7YDAK1LZr1r3TWnLNe6L/hmvfJj//kzmR3hmVIGqQqxF+n+JoQQQgghhBBCCCEyTCqVhBBCCCGEEEIIIUSGSZsvIYQQQgghhBBC/GcoJVUh9iItlYQQQgghhBBCCCFEhkmlkhBCCCGEEEIIIYTIMGnzJYQQQgghhBBCiP8Oefqb3UhLJSGEEEIIIYQQQgiRYVKpJIQQQgghhBBCCCEyTCqVhBBCCCGEEEIIIUSGSaWSEEIIIYQQQgghhMgwqVQSQgghhBBCCCGEEBkmQ54LIYQQQgghhBDiv0MZMzvB/w1pqSSEEEIIIYQQQgghMkwqlcQzlbdmdWos/JUai3+jyFuvp5nv1bolddatpOq8OVSdNwfvtq0ByPVcCV6Y/R3Vf59Ltfk/4dG0kd2zudesRp3Fv1B36Xx8334tzfwCrVvQcMNyas6fTc35syn4kp/NvDpLfqXOkl8p0LqFXXPVblCfFVs24R+4lfc+6pZm/gvVq/HH6pXsO3OSpq1a2sxr06E9/gFb8A/YQpsO7e2a675hwz5j85ZVrFq9mDJlS6W7TL/+vQjetoGDh3bZTM+WzZEpU8execsqliyZT8GCBeyabfDg3qxdN59ly+ZQuvRz6S7z8ccfsHnzQvbsXWszfeBnPViydDZLls5m9Zp57Ny1ym656jaoz+qtW1gXFMCHH3VPM98xWzYmzJjOuqAA/lixnAKFCgLg4ODAmIkTWL5hHf5bNvFhj4/slum+inVrMWntUqasX07bD99JM9/vnTeYsGoR36z4g6E/fUe+Al4287PnzMm3AWt4b+hAu2er26AB67ZuYUNQIF0+Svu3O2bLxqQZM9gQFMjCFSsoWKhQ8rySpUqxYPkyVm3aiP+G9WRzcrJbrsr1avPt+uXM3LiS9l3eSzO/7btvMn3NUqb4L2TU3FnkL+CdPO+LOTP4bW8wQ2ZNtVue1NxrVqfWonnUXvIbPm+nLXO9W7ek/voV1Ph1DjV+nUMBa5kLUGnKOBpsXk3FiWOfSbYclWvhO2MJvt8tI0/7tJ81gFy1m+IzbSE+Uxfi1e9LAJx8S1L46x/xmboQn8m/k6tOM7tny1m5JkW/W0yxWUvJ2+HtdJdxqdOUojMWUHT6Arz7f5k8vdDwqTz32xYKDZ1k91wAterXZ+mWjSwP2MI73dOeEypXr8b8VSvZffoETR44J0yb+xMBh/Yzec4Pds9VqW5tpq1bxowNK2nX5d0089u8+wZTVi9h0sqFDP855TjwLVWSMQvmMmXVYiatXEjtVs3tni0rl7lZdX8CVK9fl/mb1vL71vW80e3DNPMrVqvKnJVL2XryCA1a2u63gFNH+XHVMn5ctYyx33/7TPINHzGcwKBA1q1fR9lyZdNdply5cqzfsJ7AoECGjxiePN3Pz4+NmzYSei6U8uXL2zWXT+2qvL3yJ95ZNZeq77/60OVKNKlLn0Ob8ChTMnla1fc7886quby98ieK1K5q11w7TobTdsIGXhy/nh8DT6aZf/XGbT74IZhXpm6m45RNbDtxFYAEcxJDF+2lw+RNvDxxIz8GnLBrLoDBM5ZS692veLHPlHTna60ZPWcVzXpMoE2/aRw7ezl53vKA/TTvOZHmPSeyPGC/3bNVqVeb79evZPamVXTq+n6a+WWrvsDU5QvwP/4XdVo0tZn33oC+fLt6Kd+uXko9P/t+PwDLd4RlWzayMnAL7z7kO8Jvq1ey50za8mPGLz8RdHg/U398NuWH+G+T7m8PoZTKDbyutf4us7P8axkMlBzQl4Mff8LdiEiq/vw9Udt2cPv8BZvFIjZv5fRE2y9Y5vh4QkZ9xZ2wy2TL507VubOJ3r2XxLg4u2UrPbAPf/X6lPiISGr+MovIbTu5dc42W/imAE5MmGYzzcHVhWIfvs3ud7qD1tSc9z0RwTtIvPn02QwGA4NHjaD7m+9gCg/nN//lBG3aQuiZMymZrlzhiwEDebtLF5t1Xd3c6NanN6+3eRmtNX+sXkngps3cjI196lz3NWhQFx/fIjRt0oZKlcozauRQOnZ8M81yAVuDmP/rAjZttq2Y6dipHbExsTRt0obWrVvy6cC+9O1jn8qIevVqUMSnIH6t3qRChdIM+6Ifr7/WI81ygYE7+f335axdN99m+rhvUg71119v99BKqYwyGAwM+XIUXd54C1N4OAv9VxKweTNnT6fs0w6vvkJsTAytGjSiVZsX6T9oEAN69aZFaz8cs2WjXYtWODs74795E2v9/bly6fIj3vHJKYOB94d9xlcf9OSaycSYRfP4KyCYy2fPJS9zPuQEn3dawr34uzTr3IE3BnzM1P6fJ89/5ePunNh3wC55UjMYDHzx5Sjef+NNTOHhLPb3Z+vmTTbbraN1u7Vo0BC/Nm34ZNAg+vfqhdFoZPyUyQzs15+TISHkzp2bxIQEu+Xq9sUghr/3EddMJsYv+Y09W4O4dDY0eZnQkBN80uEN7sXH0/K1TrzzaR8m9BsEwIo583DK7kzzVzvYJc8D4Xj+0z4c6D2A+IhIqs+dRdS2HWnKNdPmAE5OSFupdWH+AozOThRs1/aZZPPoOpDLI3qRcM2Ez7hfuLUnmHuXUj5rjt6FydvhXcIGf0jSrZsY3fIAkHQvnvCpI0i4GoYxTz58JvzK7QO7SLptv/OBZ7eBhA3vRcK1CHwn/ELcnm3cC7PN5t7xHS581sUmG0D08vkYnJzI3cL+FfkGg4HPRo2g51uWc8K8lcsI3ryFc6nPCZevMOLTgbzVJW0lwK8/zMY5e3bav9bZ7rm6fPEZo97vwTWTiW8Wz2fv1iAupSo7zoWcZGDHN7kXH0+Lzh15a0AfJvUfxN34eKZ/NoyrF8LI45GP8Ut+4+D2ndy2wzn0frasWuZm1f15P1u/EcPo/84HRIab+GH5IrZvCeDCmbPJy5iuXGHMwMF07pL2i/bd+Hg+aPNsbmYBNGzUkKJFi9KwQUMqV67MV6O/4uWXX06z3OivRjN40GAOHDjA3F/m0rBhQwIDAzl56iTdu3VnzJgxds2lDAYaft6b5d0+I84UReffZxAauIvo0Is2yznmyE6lN9px9XBI8rS8xYpQsmVD5rfvQk4Pd9p9/w3z2r6HTkp66lzmJM2YlQf5/oO6eLrl4PUZW2lY2pvinq7Jy8zeGkKLCgV5pWZxzppi6fXzDtYN8mbTkUvcS0xiab9m3LmXSPtJm2hZsTAF8+Z86lz3tW/0Am+2qsln0xanOz94/ynOX73Gxm8/4dCpMEb8sJLF3/Tgxs3bzFi0haXjeqKUov2nM2hcrTRuubLbJZfBYOCj4Z8z9L1uRIWbmLz0d3ZvCSQs1Tk+8mo4kwcNo/0HtjdHqjWsR/Gypej90is4ZsvG1/PnsC9oO3du3bJbts9GjaCH9TvCfP9lBG2yLT+uXrnCiAHplx/zvreUHx1et3/58W+lDFIVYi/SUunhcgNpv5GKJ+ZapjR3Ll0m/spVdGIipk1byVe/7hOteyfsEnfCLBdx96KukXD9Oo553OyWza1sKW5fusIda7bwjVvxqF/nidbNV7Ma1/78i8TYmyTejOPan3+Rr1Z1u+QqV6kiYRcucDksjMSEBDasWk3D5rZ3Qa5cuszpEyfR2vaio3aD+uzevoPYmBhuxsaye/sO6jRsYJdc9zVt2ogVyy0VRQcPHsHF1YX8+fOlWe7gwSNERkalu/6y5f4ArF+/iVp22m4AjRrXwd9/IwCHD4fg4pKTfPnyplnu8OEQoqKiH/lafn6NWbt2i11yla9UkbDzF7gUFkZCQgJrV62iUTPblhaNmzVj5dKlAGxcu46adWoDljt1OXLkwGg04uTsTEJCArfs9MULoESFsoRfDCPi0mXMCYnsXLuRqo1tPzPH9/zFvfi7AJw+dJS8np7J84qWKYVbPncO79htt0z3VahUiYsPbLcmzWzvjDdp1pwV1u22Ye1aalm3W5369Th54gQnQywX7zdu3CDJDhfpAM9VKMfVC2GYLl0mMSGR7Ws2UKNJQ5tljv65j3vx8QCcPHgYd6+UbXZ49x67XWA+yK1MKe5cupxcrpk2bSX/E5ZrANf37cd8+84zyeb8XFkSroaRYLoMiYnEbt9Ezuq2nzW3Zi9zY91ikm7dBMAccx2AhCsXSbgaZpl2PQpzTLRNpY49st0Lv0SC6Yol27aN5Kpe32aZ3M1f5vraJWmyAdw+vJekO7ftlie1shVtzwkbV62hQTPbc8LVy5c5c+Jkup/xvTt3cTvO/p+3EhXKEX7xUspxsHYD1R5xHJw6dAR3Lw9L3vMXuXrBsj+vR0QRE30dt7z2259ZuczNqvsToHTFCly+cJGrYZdITEhgy+q11G3a2GaZ8MtXCD15yi6VHhnVvFlzli1dBsCBAwcs1x8e+W2Wye+RH5dcLhw4YLnRsWzpMpo3t5w3zp45S2hoKPbmWe55YsKuEHs5nKTERE6tD6RYw9pplqvV8132/bwQ8917ydOKNazNqfWBmBMSiL0cTkzYFTzLPW+XXEfDoinsnpNC7rlwdDDQsmIhAo9feWApRVx8IgBx8Qnkd3W2TlXcuZdIojmJuwlmHBwM5HJ2tEuu+6qVLYqbS46Hzt+y5zgvN6yMUopKzxch9lY8EdGxbD94mjoVSpDbJQduubJTp0IJth04ZbdcJSuU48qFMMLDLGVb8Jr11Gza0GaZiMtXOH/ydJrjoHDxYhzdu58ks5m7d+5w/sRpqmTgHPw45SpV5JLNd4Q1ab4jXLV+R0jSaY/RPTt3cesZXX8IIZVKD/c1UFwpdVApNd7676hS6ohS6qFtW5VSDZVSQUqplUqpUKXU10qpN5RSe6zrFrcul18ptVQptdf6r451egPrex5USh1QSrkopbyVUsHWaUeVUvWsy85USu1TSh1TSo1MlcFPKXVCKfWXUmqaUmq1dXpOpdRP1iwHlFIvWaeXtU47qJQ6rJSySxMNp/z5iI+ISP79bkQkTulUQORv1IBq83+i7JiROD1wgQDgUqYUytGRO5cePBn+fc758xFvSskW/5Bsno3rU+u3OVQcOyI525P+XX+Hh6cn4VeuJv9uuhqOR6ov8c9q3Sfl6enB1aum5N/Dw014enpkaP3wq+EAmM1m4uLiyJMnt32yeeQjPDxlv5hMUXh6Zny/eHt7UrCQN3/+aZ/WN55eXly9artfPL1su5B5eKXsO7PZzM2bN8mdJw8b167j9u3bBO79k827djD3h9nExMTYJRdAXg8ProWn7M9oUwR5H7E/G3V4iYPbdgKglOKtz/oxf1z6TdeflqeXJ1evphzz4Vev4ull+3n28PLk6hXLMqm3m2/RYmitmTNvHkvXrOaDbmmbiP9deT09iEq1za6ZTOT1TFtu3de048vsD95ht/d/FCeP/MSbIpN/t5RrabN5NKpPjfk/Un5s+mXus+CQNz+JUSnbLfGaCUd32/fOVqAI2QoUofCYORT++idyVK6V5nWcnysDjo4khF+yWzZH9wezRTw0W5GvZ+Mz7kdyVq5pt/d/FA8vT0ypyo+I8HA8vOxbrv8deT3zE2UtywGiwyNwf0TZ0eQhx0GJ8mVxcHQk/KL99mdWLnOz6v4EyOfpQUSqfRoZbiJ/Bq4hsjk58cOKxcxcsoC6zZrYPZ+nlydXrqQ6J4SH4+Vpu1+9PL24Gp6yfa+mc96wt1we+bgZnlLuxkVEkeuBa4/8pUrg4pWf89v22K7rmY+bqcrsOFMkuTzscz0ZEXsHL7eUShsPt+yYYm1vGnzUtDRrDlyk2Zi19Px5B4PaVgKgafmCZM/mQNMxa2jx9Treqfccbjmy2SXXkzJFx+KVL+Vmspe7K6boWEzXbKd7urthuma/Fvnunh5EhaccB1HhEbg/4XFw7sQpqtSrjZOzM655clOhZjXye3s9fsUnlP+B6/yIZ3CdL8TfJW2+Hm4QUE5rXUkp1QHoDlQE8gF7lVLBWuurD1m3IlAaiAZCgTla6+pKqT5Ab6AvMBWYrLXerpQqAmywrjMA6Km13qGUygXEA12BDVrrr5RSRuD+WWKI1jraOm2LUqoCcAr4HqivtT6nlPojVa4hwFat9fvW7n17lFKbrX/bVK31b0qpbMA/NhR+1LadmDZuQSckUODlNpT+4nMO9uqXPD+be17KDB9CyKixoPU/FQuAyO27uLpxKzohgULt2lB+xCD29fjkH80g/nmt/BqxcWOQ3Vq2PI3ylSqSlGSmUfWauLq5MW/xInZt386lsLB/PEvdNq0oVq40I9/qCkDz1zpxIHgH0akqZ7MKBwcjVapVo2ObtsTfucPcP37n2NEj7N6x8x/N0aCtHyXKlWHIm2mboWeWqG07CbeWuQXbtaHs8MHs79k/s2NZGI1k8y5M2LBuOLh7UvirH7jQp3NyNzdjHne8+owifNqIf/x8oIxGshUozMUh3XF096TI2O859/FrJN2yXyuW/1f12/hRvGwZhr1lexzkzp+Pj8d9yfRBw9H/8P58mKxU5v7bvFK/CVGmCLwLF2LK/LmEnjzFlYuy3VCK+gO6s/GL8ZmdJI11h8JoW8WHd+qX5NCFawxZtJelfZtxNCwao0Gx6fPWxN65x3uzgqhZwoNC7rkyO3KWdmDHLkqWL8uEhb8QE32dkAOHSDKbMzuWeBQlVSH2Ii2Vnkxd4A+ttVlrbQKCgGqPWH6v1vqq1voucBbYaJ1+BPC1/twUmKGUOgj4A67WSqQdwCSl1MdAbq11IrAXeE8pNQIor7W+aX2NV5RS+4EDQFmgDFAKCNVa3x/YIHWlUnNgkPU9AwFnoAiwC/hcKfUZ4KO1Trf/g1Kqq7Vl1L4ffnj8IG93I6Nw9ki5c+nkkZ+7D3SJSoyNRVvHOrnivwaXUimDFxpz5KDCpG8InTWH2GPHH/t+GREfGYVzqruqzulkS4hJyXZpZUq2J/m7/q4IkwmvVIP6enp7EWEyPWIN+6z7KG+8+Sr+/gvx919IRGQk3t4pd0W8vDwxZaBSwWSKwMt618ZoNJIrVy6uX7/xt7N1fu3l5MG1I6Ou4eWVsl88PfNhMmV8v7Rq1Zh1a7f+7UwPMoWH4+1tu19Mqe6CAUSEp+w7o9GIi4sLN65fp/VLL7E9MJjExESir13jwF/7KFuhgt2yRUdE2HTNyuvpkW4lUbla1WnX7X3G9+ifPDbRc5XK0+L1V5i+2Z83Bval3kt+vNa/l92ymcJNeHunDOTu5e2NKdz28xwRbsK7gGWZ1Nst/Go4+/7cw43r14mPjycoIIAy5crZJVe0KYJ8qbaZu6cn0anuNN9XoVYNOnb/gDEf9bXbeE6PczciEudUraYs5ZpttoRUZe7llWtwTVXmPkuJ0ZE45EvZbg7uniRcs82WeC2CuL3bwGwmMeIKCVcu4ligCACG7DkpOGQKUb99R/ypo3bNlnDtwWweabIlXIsgbk8wmM0kRFzh3uWLZPMubNcc6YkIN+GZqvzw8PIiIvzpy/WnFW2KJF+qO/B5vTy4lk7ZUaFWdTp0/4CxPWyPg+w5czJk1lR+n/Itpw8dsWu2rFzmZtX9CRBlisAj1T7N7+VJZAauIaKs+/9q2CUO/rmH58qUfupMb739FmvXrmXt2rVERERQoECqc4KXF+Em2/0abgrH2ytl+3qnc96wt7iIKFy8UsrdXB75iEt17ZEtZ3bcS/jScc4E3lv7K14VStNm6ig8ypQkzhSFS6oyO5dnfuIi7HM96eGanfCYlG65ETF38HS1HXdo+d7ztKhgecBFRR937iaauX77LusOhlG7pCeORgPuuZyp5OPOsct//1rt7/DM60p4VEorwfBrsXjmdcXT3Xa66VoMnu6u6b3E33LNFEG+VC0b83l5cC0Dx8HCWXPo/dKrDH2vO0opLj8wjuzTiHzgOt/DTtf5QtiDVCo9G3dT/ZyU6vckUlqHGYCaWutK1n8FtdZxWuuvgQ+B7MAOpVQprXUwUB+4DMxVSr2tlCqKpVVTE611BWANlkqiR1FAh1TvWURrHaK1/h1oC9wB1iqlGqe3stb6B611Va111a5duz52I9wMOUH2woVw9vZCOTjg2awxUdtsm79nc08Z8yZfvTrcsha+ysGB8t+MJnztBiIDgh77XhkVe/wEOQoXJHsBSzav5o2J2GbbiiF1No/6tbl1zjLoYtTuveSrWRUHl1w4uOQiX82qRO3ea5dcxw4dpoivLwUKFcLB0ZEWbV4kaNOTje2zMyiYWvXq4uLqiourK7Xq1WVnUPBTZ/pt/kLatn2Vtm1fZfOmAF5u1waASpXKc/NmXLpjJz3Mli2BtLcOAtyyZTN2797zmDUebcEfK+jYoQsdO3Rh65YdtG1rGTuhQoXSxMXdeuzYSQ8qWrQwrq4uHDx47KlypXb00GGKFPWlYOFCODo64temDQGbNtssE7B5My91sAzc3NyvFX/utDw17+rly9SobekClD17dipWrsy5s2exl7NHjuPlU5j8BQtgdHSgtl9z/gqw/cz4ln6eLiM+Z3zP/sRGp4wjM2PgMHo1eZHeTdvy27gpbFu5lj8mzbBbtiOHDuFT1Ha7bd20yWaZrZs38bJ1u7Xw82P3TssxvD0oiOdKPY+zszNGo5FqNWpw9vRpu+Q6feQY3r5F8ChUAAdHB+q2bsGerYE2yxQt/Tw9Rg1hzEf9iEm1zZ612JCTacrcyOCHl2v569Xm1vmLD77MMxF/+jiO3kVw8CgADg641m3Grb22n7W4P4PIXu4FAAwubjgWKGIZg8nBgQKDxhMbuJa4Xfar8E2dLZt3YRzvZ6vXnLg922yz7Q4kR7kqABhd3MhWsAj3TPbrkv0wxw8fprCvT/I5oXmb1gRvts94b0/jzJFjePsUxqOg9Tjwa8G+rbbn6qKln6fbyCF83aOvTdnh4OjAwBkTCVy5ht0b7P+3ZOUyN6vuT4ATh49QyNcH70IFcXB0pMmLfuzYEvBE6+ZydcUxm2XMHbc8uSlf5QXOn3n67fbrvF/x8/OzPLlt40baW59qW7lyZW7evElkhG3lb2REJDfjblK5cmUA2ndoz8ZNG9O8rj2Zjp0kd5GCuBb0wuDgQMmWDQkNSnny7b242/zQsCM/+73Fz35vEX44hFV9viDi+ClCg3ZRsmVDjI6OuBb0IneRgpiOpn1K299RtlAeLl6L41L0LRISk1h/6BINytg+cdc7dw7+PGOpDAyNiOVeQhJ5czrhwYw6SAAAIABJREFUlTsHe85atu3te4kcCYumaH4Xu+R6Uo2rlWZF4AG01hw8eRGXHM545HWlbqXn2H7oDDFxd4iJu8P2Q2eoW8k+D1YBOHXkGAV9i+BZqCAOjg7Ub92SP7c82fcQg8GAS25L1zzf55/D9/mS7N++6zFrPbljh2zLjxZtWj/xdwQhnjVp8/VwN4H7Jeg2oJtS6hcgL5YKnk+f8vU3YukKNx5AKVVJa31QKVVca30EOKKUqgaUUkrdAS5prWcrpZyAF4BDwC0gRinlCbTC0vroJFBMKeWrtT4PpB7/aQPQWynVW2utlVKVtdYHlFLFsLRummbtilcBeOord202c2rCFCpOnYAyGLi6ei23z52naJf3iT1xgmvbdlLolQ7kq1cHbTaTEHuTE19+DYBH00a4Va6Ig5srXq0tj8Q88eXXxKV6esvTZUvixPhpvDBtHMpg4PKqddwKPU/xru8RG3KSyG07KfJqezzqW7PFxHJ0lCVbYuxNzv74KzXnzgLg7Jx5JMbefNTbPTGz2czXX4xk5ry5GIwGVi5awtnTp/moX1+OHzlC0OYtlK1Qnknfz8TVzY36TRrzUb8+dGjeitiYGH6YNoPf/FcA8MO06cTacSwIgMDAbTRoWJctW1dz5048gz77Inmev7+l8glg4MC+tGnrR/bszmzbvpFFi5YxfdosFi9azoSJX7F5yypu3IilX1/7PYY+OHg39erXYN26+dyJv8uwod8kz1uydDYdO1ieltf/k274+TXB2dmJzVsWsWzpGr777hfA2kppnX2/tJrNZr76Yjg/zJuHwWhg+aLFnD19ml79+3Hs8BECNm9m6cKFfD15MuuCAoi5EcOAXr0B+GPer4yeMJ6VmzaglGL54iWcOmG/R/smmc38PHo8n8+ZjsFgJGCZP5fOhNKpdzdCj4bwV0Awb3z6MU45stN3suXzH3XVxIR/oLuU2Wzmyy++4Md58zAYjSxdtIgzp0/Tu38/jlq325KFixg3eRIbggKJuXGD/tbtFhsby9w5c1i8yh+tNcEBAQRtfbIvR4+TZDYze9Q3DJ/zHUajgc1LVxJ2JpTXPv6IM0ePs3drEO8O7IdzjhwMnDoOsDwpZsxHfQEY89uPFCxWFOcc2ZkTtJ4ZQ0Zy0E4Xndps5uSEqVSeNh5lMHBl1TpunTtPMWu5FrVtJ4Vf7UD+erWTy9xj1nINoMr308jpUwRj9uzUXbWY46PHEf2nfSrMSTITOXschYZPA4OR2C3+3AsLxf21bsSfCeHW3mBuH9hFzko18Jm2EJKSiPplKkk3Y3Bp0IrsZSpjcHHDtfGLAJimjeTueTsNzppkxvTDeAqPmAYGAzFbVnEvLJR8r3cl/kwIcXu2cevAbnJWrknRGQvQ5iQi5k4j6aalfC0y5geyFfLB4Jyd4j+uInzGV9w6YJ/B681mM+OHj2T6vJ8xGoz4L15M6OnTdOvXh5AjRwnevIUyFcozftZMXN1cqdekMV379uHVFq0AmL3oD3yLFSd7zhys2bmdLwcNZnfwtse86+Mlmc3M+fIbhv34LQaDga1L/Qk7E0rn3t05c/Q4+wKCefvTvjjnyMEnUyzHQdTVcL7u0Y/aLZtTpmplXHK70ch6k2LG4OGcP2Gf/ZmVy9ysuj/vZ5sycjQT5s7BYDCwdskyzp8+w/t9e3PyyFF2bAmgVPlyjJ45HRc3V2o3bsT7fXrzTqs2+JYoxoDRI0lKSsJgMPDbrNk2T42zh4CtATRq1Iig4CDu3LnDpwNSLsPXrl2Ln58fAMOGDmPCxAk4OzsTGBhIYEAgAC1atGDEyBHkzZuXn37+iZDjIbz99ttPnUubkwgcO4OXZ45FGQwcX7GB6LMXqNnjHUzHTnEu6OHle/TZC5zeGMyby+egzWYCxky32yDoDkYDg9tW4qOftpOUpHm5qi8lPF35duMxyhbKQ8MyBfikdQVGLdvP/O1nUApGdaqKUorOtYrzxZJ9tJtkqZB7qYoPJb3t97AcgP6TFrDn6Dmu37xF/Q+/pnfnpiRau4q91qIGDao8T9D+kzTrMZHsTo6M6WWpBM7tkoMenRrRceC3APTs1JjcjxjwO6OSzGZmjhrLlz/OxGA0sGnJCi6eOcubH/fg9NFj/Lk1iOfKl2Xot5PJ5epK9UYNeOPjHvRo3R6jgwPjfv8ZgNtxt5j46ed27f5mNpv55ouRfDvvZwxGI/6LLOVH9359OJ6q/Jj4vaX8qN+kMd379aFTc0v58eOiP/Atbik/1u3azqjPBrPLTuWHECqr9GPPipRSv2OpYFlnndQK0MBorfXCh6zTEBigtX7R+nug9fd9qecppfIB32IZR8kBCNZad1dKTQcaYWnVdAx4F+iMpRIrAYgD3raOlzQXqA2EATGAv9Z6rlKqDZbKqltYus65aK3fUEplB6ZY1zEA56xZBgFvWV8/HHhda/24Jh46oKZ9nyxmD412B7GxeqPMjpGu5nsCqORbPLNjpOvg+bM8V6JiZsdI4/SZQwCUK5v19unRY5ZKirI+RTM5SVrHLpyjc+mqmR0jXQtC9lHKxzezY6TrxIXzvPx85cyOkcaKk5ZB4zfXaJi5QdLR9M9AAE61e1SP8MxRcrmlQuzES/Z7yqS9lFq5h6pFS2R2jHTtO3eGDqVeyOwY6Vp6Yn+WLXOBLLlP952z3IyrX/zpu6PZW/DZEHyz6Png/IXzTK3Y7PELZoI+hzYRv/zzzI6RhnO7MZYfji3N3CDpKWuplGpdMutd6645ZbnWfcE365Uf+8+fAUtPl/9LrdstypIVIWuWv/Kv2+bSUukRtNavPzDpsa2TtNaBWFoM3f+9YXrztNZR2LYiur9M73Re9hfrvweXffchMQK01qWUUgpLxdU+6/J3gDSPQbJ2ufv6welCCCGEEEIIIYQQDyOVSv+fuiil3gGyYRnE+/tMziOEEEIIIYQQQmQJ2iBVIfYiW/JvUkqVB359YPJdrXWNzMiTmtZ6MjA5s3MIIYQQQgghhBDi/5dUKv1N1sG0K2V2DiGEEEIIIYQQQojMIJVKQgghhBBCCCGE+O8wGDM7wf8NQ2YHEEIIIYQQQgghhBD/PlKpJIQQQgghhBBCCCEyTCqVhBBCCCGEEEIIIUSGSaWSEEIIIYQQQgghhMgwqVQSQgghhBBCCCGEEBkmT38TQgghhBBCCCHEf4c8/c1upKWSEEIIIYQQQgghhMgwqVQSQgghhBBCCCGEEBkm3d+EEEIIIYQQQgjxn6Gl+5vdSEslIYQQQgghhBBCCJFhSmud2RnEv5N8cIQQQgghhBDi/5fK7ADPSqvX1mXJ77Pr/mj1r9vm0v1N/G1/Na6d2RHSqLJ1J51LV83sGOlaELKPMj5FMztGuo5fOEdR3+cyO0Ya586fBqBY0dKZnCSt0HMhABz1q5HJSdIqt/ZP6hfPetsMIPhsCE1LlM3sGOnafOYYJXx8MjtGGmcuXACgaBbMds6arXXJipmcJK01pw4BZMly9/iFc+jDizI7RrpUhVc4/mL1zI6RrjKr95Cw4evMjpGGY4tBALxbJuudD+Ye/xOA0x2rZXKStJ5bspfiWbBcAzh74QKbazTM7BjpavpnYJa81l0Qsg/I2ucDji3N3CDpKdsBgLB3s94+LTx3X2ZHeKak+5v9SPc3IYQQQgghhBBCCJFhUqkkhBBCCCGEEEIIITJMKpWEEEIIIYQQQgghRIZJpZIQQgghhBBCCCGEyDCpVBJCCCGEEEIIIYQQGSZPfxNCCCGEEEIIIcR/hzz9zW6kpZIQQgghhBBCCCGEyDCpVBJCCCGEEEIIIYQQGSbd34QQQgghhBBCCPGfoQ3SvsZeZEsKIYQQQgghhBBCiAyTlkpCCCGEEEIIIYT4z9jwSyOV2Rn+X0hLJSGEEEIIIYQQQgiRYVKpJIQQQgghhBBCCCEyTLq/iWfKtVoNCvfqCwYjUWtXYfrjV5v57i38KNitJwlRkQBErFjKtbWryFXpBQr3+Dh5OeciPoR+OZyYHcF2y1axbi3e+XwABoOBrUtW4D/nF5v5fu+8QeOOL2E2m7kZfZ1ZQ0cRdSWcfAW8+GT6BJRSGB0d2DB/EZsXLrVbrroN6jN4+HCMRgNLFixkzsxZNvMds2Xj60kTKVu+HDeu36B/r15cuXSZF19+ife7dk1ermTpUnRs/SInjofYLRvA8OHDaNioAfF37jBgwGccO3Y8zTLlypVl/IRvcHZ2JjAgiJEjvwSgT9/edO78CtHR1wEYP24igYFBdsv2xfDPadiwPvHx8Xw64POHZCvD+PFjcXJ2IjAwmFEjxwAwbfokihXzBcDV1ZXY2FhebN3eLrlyVamJd7f+YDBwfYM/UYvnpVnGtV4TPN7oAloTf+40l8Z9AUDuJn7k7/w+AJELfuLGlrV2yXRf9fp1+XjY5xiMBtYsXMJv38+xmV+xWlV6Dx1MsVIlGdnnE4LWb0yeF3DqKKEnTwEQceUqg7v1tGu2avXr0mPoIAxGI+sWLWXBA9nKV6tCj6GDKPZ8SUb3/ZRtqbJ1GfgJNRrVRynF/h27+PbLsXbLVb9BA4YOH47RaGTRggV8P3Omzfxs2bIxftIkypUvz/Xr1+nTqxeXL12iQsWKjB5ryaGUYtqUKWzasMFuue5nGz58OAajkYULFjArnWwTrdluXL9OL2u2unXrMnDQIBwdHUlISGDsmDHs2rnTrtmq1KtN1yGfYTAa2Lh4OYt/+Mlm/svvvUWLTu0wJ5qJuX6dKYOHE3nlKgBN2rXh1Y+6ALBw5my2LF9l12xZudzdduA0X/28hqQkTccmVejarr7N/MuRNxjy3XKiY2/hlis74z/uiJe7GwDjf91A0P6TJGlN7QolGPKeH0rZp7V/zhdq4tX1E5TBwPWNK/kfe+cdHVXx/uFndtNJgUCyGyCh9xZ67wQkdFBRLKAiIFIs9CKKoDRFlK+FIogNUHoVEkjoPaH3DsnuppFGAsnm/v7YJdlNQjNX4KfznJNzcnfeufezd3bemftOuXF/5uPXmrXDp09/FAXuXD7PzVkTAfBq04liL70BQOzSRSRu26CKpnvsOnWDaSv3Y85S6NW4Iv2DatqlR8WnMPG3XcSnpOPl5sy011qgL1KIMzfi+HT5XlLSM9BoBAPa16RjnbKqaqvRrBF9xn6ARqthx59r2bDA/r516PsyLZ7vRlZmJskJt1g4YQpxUQYAvP10vDl5PN56XxRg9sD3ibXWETVwC2yMzxsfgkZDUugaElb/lMfGvXE7vF+01MW7V85hmDMRh2J6/EbNRAgNODiQuGkZiVtWqqYLLL5totXvLruP351l43eHWX1b01y+bZrKvq1oowZU/GAIQqPl5toNXF3ym126X6fnqDB0EHdiYgG4/scqotZafu+BX83Aq3pVbh09ztEPx6qm6R5/t597D9dChZi1fjmHQsNZNGWGqtoe1h5Uq1eHAeNHUaZSBaa/P5rdf4Vkp70x4j3qtWoOwNJv57Fzo3rt6Ni5Kwg7dIaiXoVYP+e9POmKojB14XrCj5zFxdmJaUN6Ua1cCQBWbT/Cd39uB+Cd51vTo3Ud1XTdw6VGYwr3GQEaDak7VpO8IW8dda3fDq/uAwCFu9fOE//DBJwr16Vwnw+ybRz9ShP33TjSjqjXB5f8t5FBJck/h0ZDwPARnBs5nIwYE5W/W0jinp2kX71iZ5YQFsr1r7+0+ywl8ginB/QDQOvhQfWf/yDp0H7VpAmNhjcnjmbqW+8SZzTy2fIlHN6+g5sXL2fbXDl9hnEv/Mnd9DsEvdSLV0YMY84H40iIiWXiS2+QmZGBs5srs9Yu4/C2cBKsHYaCoNFomPDpZPq/8hpGg4Fla9ewPSSEi+cvZNv06v0iSYmJPNeyNR27dObDMWP4cMhQ1q9ew/rVawCoUKkS38z/QfWAUqtWLSldphStW7UjsHYgU6ZOpkf35/PYTZnyCWPHTiAyIpJFixfQslULwsMsAcEfFy5m/vyFquqyaGtB6dKlaNP6OQIDa/HplI/o2eOlPHafTpnE2LEfERl5lB8X/UDLls0JD9/JsKE5je248aNITkpRR5hGQ/HBI7k8fiiZsSbKfrWY5H07uXM957fmVNwfnxf7cmnE22SlJKP1KgKA1t0T3z79uTi8HwoK5ef8RNL+nWSlJKskTcP7H0/kg75vEWMwMm/VcnaFbufqhYvZNsaoKD4bNZaX3n4zT/476em81UWdwFt+2oZ+PJ7Rfd8mxmDkfyuXsSd0O9dstJmiopkxajwv9u9nl7dq7UCq1a3NgE49APhq2c/Ualifo/sPqqLr408/pe8rr2AwGFi5di2hISFcOH8+2+aF3r1JTEykbcuWdOrShVFjxjB8yBDOnT1Ljy5dMJvN+Pj6sn7TJraFhGA2mwus6562yZ9+ymtWbWvWriUkl7YXrdpat2xJ5y5dGDNmDEOHDCE+IYH+b76JyWSiYsWK/PTzzzRu2FAVXfe0vTNpHBPeGEiswcjsFb+xLzSM6xcvZdtcOnWG93r24U56OsEvv8Cbo95n+nujcPfypM+QQQzv+TIoCnNWLWV/aBgpSerVg2fV75rNWUxeuI4fJ/ZD5+3JC2O/p029ypT39822mbFkM91aBtKjVW32Hb/El79uZcaw5zly9hpHzl5jzawhAPSZuIADp67QsFqZggvTaPB7ZxRXJwwhI85E2dk/kbx/J3dz+bWiL/Tl8si3yUrN8Wsad098+vTn0nt9QVEoO2cJyft3kJWqTnmas7KY8sc+5r/bAX1hN3rPWkfr6gGU8yucbTNr9UG61i9Ht4YV2H8uiq/WHWba6y1wcXLgs1ebU8rXC1PibV6cuZamlUvg6easijah0fDahJHM7D+UeKOJScsWE7F9J1E2fY+rp8/xyQt9uZt+h9a9e/Lih0P47sMJAAz4fBLrfljMyb0HcHZzRcnKUkUXABoNPv1HcXPyEDLjjQRM+4nUQzu4eyNHm6PenyI9+3FjQn9LmXpayjTzViw3xr2JkpmBcHGl1JdLSTm4A3NCwftFFmn2fnfVA/xuG6tvGz1mDMOGDCEhIYG3bXzbop9/pqlavk2jodLI4UQMHUG6KYYGi78nduduUi9ftTMzhmzn7Kw5ebJf/WUpWhdnSvToqo4eGwrSz73Hi8MGceZQhOraHqU9iIk2MHvMRHq+1dcub/1WzSlXrTJDu71oCfb/soBD4btIS01VRVvP1nV4tWMjRn/9R77pO46c40p0HFv+9yFHz13n43lr+GP6YG4l32bu8lBWzHgXIQQ9R86lTf0qeLm7qqILAKGhyGujMc18F3O8Ed2kJaRF7CAzKqdMHXT+eHZ+A+PUt1BuJ6PxsNTRO2cOY/zoFQA0hTzRT19F+ol96mmT/Of5zyx/E0IUFkIMfohNaSFEn0c4V2khxAn11D15hBDjHm5VMApVrkr6zRvcjY5CycwkYVsIhZs0f+zzFGnRhsQDe1Hu3FFNW/ma1TBcu47pxk3MGZns2biFem1a2tmcOnCYu+mWa54/egJvnQ4Ac0YmmRkZgGX0Wgj1qlGNwFpcu3KVG9evk5GRwaZ162gTFGRn0yYoiNUrLDOjtmzcRKOmTfKcp1PXLmxat141XfcIat+OlStXAxAZEYmnhwc+Pj52Nj4+Prh7uBMZEQnAypWrad8+KM+51KZdUBtWrbQ83EVGHsXT0zN/be7uREYeBWDVyjUEtW+b51zBwc+xbp06I+euFatyJ+oGGQZLPUjcsRWPxvYzDYo814349X9mB4vMiZaZXO51G5EScQBzShJZKcmkRBzAo25jVXQBVKlVk5tXrxF9/QaZGRmErt9Is3Zt7GwMN6O4dPacug8vj0ClWjWIuno9W1vYho00bdfazsZ4M4rLZ8+RlaXYfa6g4OTshIOjI45OTmgdHEiIjVNFV63AQK5eucJ1ax3dsG4d7XLV0XZBQayy1tHNGzfSuGlTANLT07MDSM7OziiKvW61ta1bt46gXNqCgoJYYdW2aeNGmli1nTp5EpPJBMC5c+dwcXHByclJNW0Va1Yn6up1DNdvkpmRyY4Nm2nUrpWdzbH9B7mTng7AmcjjFNNZAid1mzUhYvc+UhKTSElKJmL3Puo2b6qatmfZ7x67cIMAfVH8dd44OToQ3LQGoYfsg1YXb5hoVN0ym6Zh9TKEHjoDgADu3M0kI9PM3cxMMs1minkVUkWXa8Vq3I2+QYYxCjIzSdyxBY9G9n6tcIfuJGz4MztYlO3X6jQiNWI/WSlJZKUmkxqxH3cV/drxq7EE+HjgX8wDRwctHeuUZdvxa3Y2Fw23aFDRD4AGFfzYbk0v7etFKV/LLC9fLze83V1ISElXTVvZGlUxXrtBzI0ozBmZ7N+0ldpt7O/bGZu+x8VjJ/C21oPi5cqg0Tpwcu8BAO7cTsu2UwOX8tXIMFwn03QTMjNJ3r2VQvXt+0We7bqTuPmPnDJNspQpmZkomZZ+kXBwAhX7RZDXt62/j99daePbGj8B3+ZVtTJpN26SFhWNkpmJces2fFo8um9KOHQE8+00VbTkpiD9XIAyVSvjVawox3arH3h4lPbAdDOKK2fP5+l7+Jcry4mDR8gym7mTlsaVM+ep+xj3/GHUr1YGLw+3+6aHHjhF91a1EUIQWCmApNR0TPFJ7Io8T9Oa5Sns4YaXuytNa5ZnZ8Q51XQBOJWtRobxOuaYm2DO5Pb+LbjWti/TQi17kBK6HOW2pY5mJSfkOY9rvbakH9+Dclc9/yGR/GeCSkBh4IFBJaA08NCg0r+Efzyo5FjMhwyTMfv4bmwMjrke8gGKNG9FlflLKDtpKo4+vnnT27QjYdtWVbV5+/oSZ8jRFm80ZXfc8qN1r25E7syZLl1Ur2P66t/537YNrF34kyqzlAB0ej2G6Jyp7IZoA756fS4bHQbrdHez2UxycjKFixSxs3muS2c2rFmriia7a+t0RNtMtY82GNDrdXY2er2O6Oic6dOGaAM6m47K631fZdOmdUyf8Tmenp6qadPr8l5Xr7cvU73eF0N0TrkbDEb0Onv99RvUIy42jitX7Eca/y6ORX3JiM25ZmasCcei9vXAuUQATiUCKDNrHmW/XIh73UYAOBT1scubEWfCoWjeOvR3KabzxWRzz2IMRnxy3Y8H4eTszLzVf/Ddn0tpFpQ3OFcwbTpMNnUhxmCk6CNqOx1xlMh9B1i+N4zle8M4tHM312xGQAuCTq8n2q6ORqPLU0f1REdFAZY6mpKcTBFrHa0VGMimrVvZ8NdfTBw/XrVZSgD6fLTpH6It2UbbPToGB3PixAnu3r2rmraiOl9iDTm/tViD6YHl2f6FHhzasTs7b0y0bV4jRR/grx+XZ9nvGuOT8LMuZQPQe3thjLOf0VOplJ6t+y1LfbceOEVq2h0Skm9Tu1IADauXofmAGTR/ewbNapWnXEl17ptDUR8yYh7s15yKW/xa6RnzKT1rIYXqWPyaY1EfMmJN2XYZcXnzFgTTrdvoC+cEz3SF3TAl2s9iqFTCm5CjFh8fcuwqqXcyuJVqHzw6fjWGDHMW/sXUa6eK6HyJt+l7JBhMFPG9/3dv0bMrx3buBUBf2p/byckMmTONT1YsofeIoQiNet14B28fMm3bqjgjDt55y9TRL4CSUxZQ8rMfcQvMCQY6FNUR8MVvlPlhPQlrlqg2Swkeze/qH8G3PRcczEkVfZuzrw/pxpjs43RTDM759HN9W7eg4S8LqfH5Jzg/oLzVpCD9XCEEr41+n19mfPWPaHvc9sCWy2fOUbd5E5xdXPAsUpiajerj46d/eEaVMMYnoS9m45OLemKMT8IYZ/+5rqgXxrgkVa+tLeKLOT6nTM0JJrRF7MvUQR+Ag74UvuMX4jtxES418gbs3Rq25/Y+dZfeSyT/paDSNKCcECJSCDHT+ndCCHFcCNHbxqa51eZ964yknUKII9a/vEOT+SCE6CeEWCOECBNCnBdCTLJJWy2EOCyEOCmEGGD97E0hxFc2Nm8LIWZbr39GCLFYCHFOCPGrEKKdEGK39bwNrPaFhBA/CiEOCCEihBDdbHSsFEJsttrPsH4+DXC1fs9frfk3CCGOWu9Jb54Qt/bu4nifXpx++3WSDh+g9JiJdukO3kVxLVOWxIPqLX17XJp16UjZ6lVYtzBn34M4g5HR3V/mvQ7dadGtM15FvZ+avtzUDAwkPS2NC+fUHSFRg19/+Y2WLdoSHNyVGJOJ8RPU30OgoHTt0om1Ks1SemS0WpyL+3N59Dtcnz6BEsPGoSnk/mQ1/A1ebNGWAd1fYPL7Ixg6YSzFA/yftiQAipcKoFS5srzUrC29m7ahduOGVK+n/t4Gf4ejkZF0DAqiZ9euDBo8GCdndZbVqEWFChUYPWYM48c+vbrZumsnKlSvyooFi5+ahsflafrdUa8/x8FTl+kx8n8cPHkFnbcnWo3ganQcl27EEPb9CMJ/GMm+E5c5dPrKE9MltFqcivtzZewgbs6cSPGh458Zvzaie30OXTDw/PQ1HLpgQOflhsZmr6mYxNuM/XkHU/o0Q6N5Om+cbtzlOcpUr8KmH38BQKN1oGLdQJbN/JpPXnwDn5IlaN690xPVJLRanPz8uTFpIIavJuA7aDwaN0uZZsYZufZhH64M6YFny05ovZ6dfhFYfNuoMWOY8IR9W+zOPezq/hL7X32L+AOHqDbp2ev35O7ntn/5BSJ27CbeaHpIzidPxO69HArfxaxlPzHqy2mcjjhKloqDM//fERotDjp/TNMGEPfdeIr0G49wy/G7Gq+iOJYsT/qJvU9RpeTfyH8pqDQGuKgoSiCwDwgEagHtgJlCCD+rzU5FUQIVRZkNmIAgRVHqAL2Brx/jeg2AXkBN4AUhRD3r528qilIXqAcME0IUBZYDXYQQjlabN4B7O9aVB74AKlv/+gDNgBHkzDYaD2xTFKUB0Nr6fe4N0wUsoiOEAAAgAElEQVRatdcAegsh/BVFGQOkWb/nK8BzQJSiKLUURakObM7vCwkhBgghDgkhDs2bN++hNyAjNgZH35yRB6diPmTExNjZmJOSUKxLyWI3rqNQhUp26d6t2nJr1w5QucGIN5koajPDxlvnm2/jWb1xA3oMfJOZgz/IXvJmS0JMLNfPX6Ry3dqq6DIaDOj9/LKP9X56TDajORYbI/riFhutVouHhwe3EnKmt3bs0pmNa9XbxPa1115hw8a1bNi4lhiTCb/iOfr89HoMNiNhYJn942czaqT302M0WmxiY+PIyspCURR+X7qcWrXsN099fG19WL9hJes3rMQUE5PnugaDfZkaDCb0fjnlrtfrMBhz9Gu1Wjo8144N6zcVSJctGXEmHIvlXNOhmC8Zcfb1IDPWRNL+nWA2k2GM5s7NazgX9yczLsYur2NRXzJz5S0IsUYTvjb3zEevI8ZofECOvPkBoq/fIHL/ASpUraKiNiO+NnXBR68j7hG1NQtqy6nIY6Tfvk367dscCN9F1dqBqugyGgz42dVRP4x56qgBv+LFActvyt3Dg4QE+ynoFy9c4Pbt21SsWFEVXQCGfLQZHqLNw0abXq/nh3nz+PCDD7h2zX65UEGJM5ooZjOzoJjeN9/yDGzSkN7v9GfyoOHZPjfOaLIbiS6m1xGn4sPOs+h376Hz9iQ6LjH72BCfiK6oRx6bb0b2YdXMd3nv5XYAeBZyJeTAaWpVLEkhV2cKuTrTonYFIs9dV0VXZlwMjj4P9msZcSaS9++w+rUo7kZdw6m4PxlxMTgWyxlddyyaN29B8C3shuFWzswk463b+OZa9ufr5cac/m35c3Q3hneuC5C9b1JK2l0G/7CVYZ3qUquMejPiABKMJrxt+h5F9L4kmPJ+96qN69NlQD++endEdj1IMJi4duYcMTeiyDKbORIaTqmqlVXTlhkfg4NtW1VUR2Z8rrYqzkTqIUtblWmKIiP6Go5+AXY25oRY7ly/iGsVdXwuPJrfNTzEt303bx4jVfZtd0wxuOhyZh65+PpwJ1c/N8Omn3tzzQY8K6vn8x9EQfq5FQJr0KHPi3wTspZXRr1H827BvPzBENW0PWp7cD+Wfb+Aod16M+GNQQghuKnSzPJHQeftiSHWxifHJaHz9kRX1P5zY1wiuqLqzXIE68wk75wy1RbxxZxgymOTHmHxu+bYKDKN13DU5dRRtwZBpB3ZrvpzlUTyXwoq2dIM+F1RFLOiKEYgHKifj50jMF8IcRz4A6j6GNfYqihKnKIoacBK6zXBEkg6iiWw5Q9UUBQlBdgGdBZCVAYcFUU5brW/rCjKcUVRsoCTQKhi2YjjOJblegDtgTFCiEggDHAB7nmQUEVREhVFSQdOAaXy0XocCBJCTBdCNFcUJTEfGxRFmacoSj1FUeoNsHnbzf1IPXMalxIlcdL7IRwcKNKmHbf27rKzcfAumv1/4SbNSLt2xS69SJt2xKu89A3g4vFT6Ev541OiOFpHB5oEt+fwdvs3y5WuUom3Px7HzHc/ICk+5+HBW+eLo3V2QSFPDyrXrUXUZXvdf5cTR49RqkxpSviXxNHRkY5durB9a4idzfaQELr36gVA++CO7N+TM9oghOC5zp1Ufbj5+edf6RTclU7BXdmyJYSePbsDEFg7kOTkZGJydaBiYmJISU4h0PoQ37Nnd7ZusXwH2z2OOnQI4lwBR/V//vk3OnfqSedOPdm6JZQePbtZtAXWur+2lBQCA2sB0KNnN0K2bstOb9q0MRcvXs4TKCsIaedO41zcH0edpR54tQgieZ/9by1pbziFalhm0mg9vXAuEcBdw01SDu/DvU5DNO4eaNw9cK/TkJTD6u1vcObYcUqWLoVfyRI4ODrStnMwu0O3P1Jed09PHJ0scXCvIoWpUbcOV2w20S4oZ4+doESpAPRWba06BbPnEbWZoqKp1aAeGq0WrYMDNRvUU23527GjRylVpgwl/f1xdHSkU5cuhG6191GhISH0sNbR54KD2Wd901BJf3+0Wi0AxUuUoGy5cty8cUMVXfe0lbbR1qVLF0JyaQsJCaGXVVvH4ODstyB5eHry46JFTJ8+ncOHDqmm6R7njp+kROkAdCVL4ODoQItOz7E/1P6tM2WrVGbI5IlMHjScxPj47M8P79pD7aaNcff0wN3Tg9pNG3N4l3pvb3oW/e49apQvwdXoOG4YE7ibkcnG3cdpU88+kJCQlEqWdd+Reat20Mv6xiG/Yl4cPHWFTLOZjEwzB09doWwJdZbepJ07hVNxfxx1xcHBAa8W7UnZv9POJnlvGIVqWAI2Wk8vnIoHkGGIIuXIPgrVboSmkAeaQh4Uqt2IlCPq+bXqAcW4FpPEjbhkMjLNbDpyidY17GdRJqSkZ+/FNn/rMXo0qgBARqaZ4Qu30bV+edrXLq2apntcPnEaXSl/ipXwQ+voQMOOQUTk6nsEVKlIv0ljmDNkJMk2fY9LJ07h5uGBRxHLhuNVGtWz2+C7oKRfOIWTXwAOvpYy9WgaROpBe20pB8JxrWb5fWk8vHD0CyDDeBMHb1+Ek6VfpCnkgWvlWtyNUu9BP7dv63wfv9vzPr5twaJFzPgHfFvS6bO4+pfExU+PcHBAF9SGmB32vsnJZia7T/MmpF5RN2B/PwrSz507aiJD2nZmaLuu/DrjK3au2cjvX85VTdujtAf3Q6PR4FHYssysdKUKlK5UkSO7ntysmzb1q7A6LAJFUYg8ew0PNxd8vT1pFliBXUcvkJiSRmJKGruOXqBZYAVVr3338ikcdf5oixUHrQNuDduTFmFfpmlHwnCubPG7GncvHHQBln3SrLg16iCXvkn+EeTb3x7M+4ARy4wmDfA4uzXm3oFVEUK0wjIzqrGiKLeFEGFYAkAAC7DMPDoDLLLJZ7uLWpbNcRY55SeAXoqinLW9oBCiYa78ZvIpc0VRzgkh6gDBwBQhRKiiKJMf5Us+kCwz1775kgrTZyO0WmI3rSf9ymX8+vXn9rkzJO7ZhW/PFyjcpBmK2Yw5KYkr06dmZ3fS6XHy1ZFyVP03T2SZzSyaMpNxC75Bo9GyfeVably4xAtDB3LpxGkOb9/BKyOH4ezmynuzpwEQG21k1rsfUKJcGV4d9R4oCgjB+h9/4fp5dR6mzWYzUz+axPwlS9BoNaxa/gcXzp9nyAfvc/LYcbaHhLBi2TKmz57N5vDt3LqVyIghQ7Pz12vYAENUNDeuqzManZvt28No3bolYeGhpKWlMWrkmOy0DRvX0inY8gaTiRM/Zuas6bi4uBAeFk5YmKWzMHbsKKpUrQKKwo0bNxk3bmK+1/l72sJp1boF28P+Ij0tnVGjcrYNW79hJZ07Wd5S9tHEycyY+TkuLs6Eh+8kLCynQe7cJZh1a1Ve+pZlJuq7WZSe8rX11dvruHPtMr6vDiDt/GmS9+/MDh6V/34pZJkxLPwGc7JlLb7p9x8p99Ui6/8LMaeot0bfbDbz1SdTmLV4ARqNho1/ruTK+Qu8+d5Qzh4/we7Q7VSuUZ0p332Dh5cnTdq05s3hQ+nbsQuly5dlxJRPyMrKQqPR8Ov38+3eGldQssxmvvlkKtMWzUOj1bD5j1VcPX+RvsOHcO7ESfaGbqdSjep8/N0c3D09adymFX2Hv0v/jt3YsXkLgY0bMn/DKgAO7tjFvm1hqugym8188tFHLFqyBK1Wyx/Ll3P+/HmGf/ABJ44dIzQkhOXLlvHF7NmEhodz69Yt3htiGeGtV68eAwcPJiMjA0VRmDRhQp4ZTAXVNumjj1iyZAkaG23vf/ABx48dIyQkhGXLljF79my2h4eTeOsWQ63a+vbtS6nSpRk2bBjDhg0D4PXXXiMuTp0NzrPMZr6b/DmfLvwOjVbD1j9Xc+3CRV4dNpjzJ06yf1s4b41+Hxc3N8Z+PROAmCgDk98ZTkpiEku/ncfsFZZXdf/+vx9ISVS3HjyrftdBq2XiW515a+pPZGVl0at1HSr46/h6aSjVyxWnTf0q7D95mdm/bQUhqF+lNB/17wxAh0bV2HfiEl0/nItA0CywQp6A1N8my4zh+5kETLb4tVtb13Hn2iV8XrH4tZQDO0k9sg/3Oo0o9+1SlKwsjIu+xpxsGbOKXbaQsrMXAxCzdAFZKvo1B62Gcc83YuC3WzBnKfRoVIHyfkWYu+EI1QKK0bpGAAfPG/hq/SEEgrrldEx4wbLvyOaIKxy+YOBW6h1WH7C8/W/qK82oXLLogy75yGSZzfwydRYj5n+NRqNh56p1RF24TI8hA7h88jSR23fSe8RQnN3ceHf2ZwDERRmYM2QkSlYWy2Z+zagf54IQXD15hrA/V6uiyyoO04IZlJjwNWi0JG1by90bl/DuPZA7F0+TemgHtyP34larIQGzl0FWFrE/zyErJRGXmg0o1jenX5Sw9lfuXlOvPbjndxdbfdufVt/2ntW32frdbVa/O9zq2163+rahw4Yx1Orb+qnk2xSzmbOz5lD765kIjYaodZtIvXyFsgPeIOn0WWJ37sG/dy98mjdBMZvJSErm5ORp2fnr/vA1hUoFoHV1pdm6Pzg1ZQbxKrylFArWz/2neZT2oEKNakz432zcPT1p0LolrwwbzOBOPdE6ODDjN0uf6HZKKl+MHKfq8rcPvlzKgROXSUhOpUX/aQx9qR2Z1vO/3KEhLetWIvzIWYIGf4GrsyOfDbEEMgt7uDH4hdY8P+p/ALz7QhsKP2DD779FlpmEX2biM+IbhEZLys61ZEZdwrPHQO5ePk165A7Sj+/FpVoj9FOXo2RlcWv512SlWvyutpgfWm8dd84eUVeXRAIItd8+86xiXWZ2RFGUUkKInsBALEEUb+AQ0BAoAXypKEpLa57ZwA1FUb4QQrwB/KgoihBClAbWW5eK5XetfsBnQHUgDdgPvGk9f39FUbpYZyRFAs8pihJmzXcE8AFqKoqSkPs6QojF1uM/bdOEEJ8BnsBQxSKwtqIoEVYd9RRFGWLNvx6YpShKmBAiAfBVFCVDCFEciFcUJV0I0dmqsftDbqlyuM0jbTH1RKm7bQ8vVan3cMOnwNLTh6haSoVXOf8DnLp6mTKl1R1RUYPLVyyvCy5bRr1lVWpx6bLlDUwngtV77bpaVN+4nxblnr17BrDj4mnala/2tGXkS8iFk5Qvld9kzqfLhauWEf8yz6C2y1ZtnSrWespK8rLhnOUtj8+i3z119TLKseVPW0a+iJovcqpzg6ctI1+qrj9Axl/THm74hHHsYBlg6Vf12WsPFp+y7El5/vn8JuQ/XSr8eZByz6BfA7h49SohDVs9bRn50m5/2DPZ11162jIT7FluDzi54ukKyY9qlsDU9X7PXpn6Lz4ElskLEskD+c/MVFIUJc66wfUJYBNwDDiKZUbRKEVRDEKIOMBsXZ62GPgWWCGEeB3LPkOp+Z89Xw4AK4CSwC+KohyyLqMbJIQ4DZzFsgTOluVAoKIojzt0/SnwFXBMWN5vfxno/JA886z2R4AlWPZhygIygHce8/oSiUQikUgkEolEIpFI/mP8Z4JKAIqi9Mn10chc6RlAm1w2tjsJj7baXcEyC+lB3Mg920dRlDtAxwfkaQbMtrG3u46iKP3yS7Pu2zQw98kURVmMJTh277izzf+j730fK3KBrUQikUgkEolEIpFIJJJH5r+6UfczhRCisBDiHJY3soU+bT0SiUQikUgkEolEIpFIJA/jPzVTSW2EEB2A6bk+vqwoSg9sZgg9DEVRbgFP5h2jEolEIpFIJBKJRCKRSCQqIINKBUBRlL+Qy8YkEolEIpFIJBKJRCKR/AeRy98kEolEIpFIJBKJRCKRSCSPjQwqSSQSiUQikUgkEolEIpFIHhsZVJJIJBKJRCKRSCQSiUQikTw2MqgkkUgkEolEIpFIJBKJRCJ5bGRQSSKRSCQSiUQikUgkEolE8tjIoJJEIpFIJBKJRCKRSCQSieSxkUEliUQikUgkEolEIpFIJBLJYyODShKJRCKRSCQSiUQikUgkksdGBpUkEolEIpFIJBKJRCKRSCSPjQwqSSQSiUQikUgkEolEIpFIHhuhKMrT1iD5/4n84UgkEolEIpFIJBLJvxfxtAVInn0cnrYAyf9fltUOetoS8tA7YitNylZ62jLyZc+ls5QpVeppy8iXy1evUrtWp6ctIw8RRzcAUKVyk6esJC+nz+wBIOvAoqesJC+aBm880/WgZumyT1tGvhy7conSpco8bRl5uHL1MgClS5V+ukLy4crVKwDUKV3+6QrJhyNXLgBQ7hn0uxevXuXii/Wftox8Kbf8ICENWz1tGfnSbn8YN96q97Rl5KHkwkMAzKn17PWLhh/dCkDijM5PWUlevEatp0zpCk9bRr5cvnKeLQ1aP20Z+dL+wPZnso3fc+ks8Gy3B9f7PXv+w3+xxX9wcsXTFZIf1Xo9bQWS/yfI5W8SiUQikUgkEolEIpFIJJLHRgaVJBKJRCKRSCQSiUQikUgkj40MKkkkEolEIpFIJBKJRCKRSB4bGVSSSCQSiUQikUgkEolEIpE8NjKoJJFIJBKJRCKRSCQSiUQieWxkUEkikUgkEolEIpFIJBKJRPLYyKCSRCKRSCQSiUQikUgkEonksZFBJYlEIpFIJBKJRCKRSCQSyWMjg0oSiUQikUgkEolEIpFIJJLHRgaVJBKJRCKRSCQSiUQikUgkj40MKkkkEolEIpFIJBKJRCKRSB4bGVSSSCQSiUQikUgkEolEIpE8NjKoJJFIJBKJRCKRSCQSiUQieWxkUEnyj6JvUo+Oq34keM1iKr/R+752Jds2o3fEVopUrQiAm5+OXnvX037p97Rf+j11xw9XXVvDFs35PWQzy7dt4bVBb+dJD6xfj0VrV7Lj3Elad+yQ852KF2fR2pUsXr+aXzavp3ufl1TV1aJlS0K3bWN7eDiD3nknT7qTkxPfzJ3L9vBwVq1eTYmSJQEoXLgwvy1dyolTp/hk8mRVNdkyavRA1qybz7I/5lK5crk86S4uznz9zcesXP09f678lmHD+2WnOTo6MG3GaNasm8+SX77Er7ivqtrGjX+fzX8tZ/WaJVS1/pZyM/y9gWzbvopDh0PyTQ9q34rTZ/ZQrXpl1XTtPHaJjiPn0eHD75m/bm+e9Juxibzx+e90G7eQ16f+iiE+KTstKjaRt6YvpdPo+XQePZ+bMbdU0wV/vx7cw829EKt3h/PBxxNV1QXQtGUL1oaGsD5sG2++MyhPet0G9Vm2fi1HLpwjqGNHu7SuvXqybvs21m3fRtdePVXXNunjSYSFb2fT5k1Uq14tX5vq1auz+a9NhIVvZ9LHk7I/HztuLKGhIWzavIkffvgeT0+Pf0Bb2CNo20xYeJidtuDgYLZs3cKly5eoUaOGqrqatGzBytAtrAkLpd87A/Ok12lQn1/Xr+HAhTO07ficXVrnXj1YvT2E1dtD6Nyrh6q6wOJ3t27bxrbwcAbex+9+PXcu28LDWWHjd5s2a8aa9evZ+NdfrFm/nsZNmqiuzbVWY/y/+pOAr1dSuFvffG0KNW6H/5fL8P9iGb7DPrVLE66FKPXdeoq9OVJVXUUbNaDx8iU0+fNXSr3eJ0+6X6fnaLF5NQ1/XkDDnxdQvGun7LTAr2bQMmQ9tb74XFVN93Cu3hjd1BXoP1uFR8f875lrvXboPl2ObvIyvN+ekv251/PD0E1ehu7TP/B6eYTq2ko1qcfra36k77rF1Hszb7+oxgudeeXPefRZ9j0vLJ6Nd9kAADQODgRNHmFJW/49JerVVF2bQ5k6uPf/Hve35+Hc8Pk86S5t+uPe92vLX/8f8By2NCet5Ru4v/k/3N/6Dpe2A1TXBjBp0kS2h4WwadM6qlWrmq9N9erV2LR5PdvDQpg0KaddGv7eUPbu28mGjWvZsHEtrVq1VEVT0Ub1afrHTzRb8QulX385T3rxTh1o9dcqGv0yn0a/zKdEt+DstDpzptM6dB21v/xMFS25eVb7uVCw9mDuTz8SfuwIcxbOU10XgEuNxug/X4F++io8Ot3Hf9Rvh37qcvRTl+E90OI/nCvXRTf51+y/kvN341pHnd8ZwNi5K2jcbyqdh3+Vb7qiKExZsI6gwbPo8v7XnLx4Mztt1fYjtH/3C9q/+wWrth9RTZNEcg+Hpy1A8u9FaDTUHTOUsHdGk2aMJejXuUSF7yXp0jU7Owc3Vyr06UHcsdN2n6feiGLLS3kfJNVAo9Ew4pOPGP76G5gMRhau/pOdIdu4cuFito0hKpopo8bSp/+bdnljY2IY8HxvMu5m4Ormxi+b17ErZBuxJpMquiZ/+imvvfIKBoOBNWvXEhISwoXz57NtXuzdm8TERFq3bEnnLl0YM2YMQ4cM4c6dO3w5axYVK1WiUqVKBdaSH82a1SMgoDjdurxNjRqVGDfhXV5/9YM8dkuWrOTQwWM4ODjww/ypNG1al927D9O9RweSk1Lo1uVtOjzXguHvvcGYUdNV0daiRWNKlSrJcx1epFatanw0aSQv9c7biQrbvovffv2TTZuX5UlzK+TG66+9yNHIE6poAjBnZfHpT1tYOPoldN4evPjRYlrXqUD5EsWybWb+to1uzarTvXkN9p28wpfLw5kxqAsAY35Yz8CuTWhaowyp6XfRCKGatoLUg3sMeP89Ig8eVE2TrbZxkz9hwKuvYzQY+H3tasK2hnDpwoVsm+ioKCaMGEW/t/vb5fX08mLQ8GG81KUbiqKwbP1atm8NITkpKfdl/hatWreiTJnStGrZmtq1A5k6ZQrdu+cNdEyZOoWxY8YSERHJ4p8W0apVS8LCwtm1cxczps/AbDYzZsxoBg8ezLRp6tQDi7YytGrZitq1azN1ylS6d+/+AG0RLP5pMa1atSIsLIyz584yaOAgPvtM3YccjUbD6MkfM/jVvhgNBn5Zu5LwraFczlWeH48YxWv5lOeA4UN5tUsPFEXh1/WrCd8aqlp5ajQaPv70U/pa/e6qtWsJzeV3X7D63TZWvzt6zBiGDRlCQkICb7/5JiaTiYoVK7Lo559p2rChKroAEBp83hpF1JQhZMYZKfn5T6Qe2kHGzcvZJo56f4p078fNif3JSk1G61nE7hTevQeRdjpCPU0AGg2VRg4nYugI0k0xNFj8PbE7d5N6+aqdmTFkO2dnzcmT/eovS9G6OFOiR1d1dQEIDUVeGU3MF+9iTjDiO3EJaZE7yIzOuWcOvv54dHoD0+dvodxORuNhuWdO5WriVL4WxkmW4IDP2AU4V6rLnbOHVZKmodW4oawaOJoUYywv/TaXS2F7ibfpF53duI3jf6wHoEzLxjQfMYg1g8dRvZclGPHr8wNw9S5Mt/9NZWmfIaAoqmhDaHBp9w6pyyegJMfh/vpsMi7sJyvuerZJ+rYF2f871emM1tcysKQtXhltiSqkLBoKQKE+M9D618B8/bg62oBWrVpSukwpWrdqR2DtQKZMnUyP7nkDX1OmfMLYsROIjIhk0eIFtGzVgvCwHQD8uHAx8+cvVE0TGg1VRg3n8JCRpJtiaPTT98Ts3JOnHhi2bufMrK/zZL/yyzK0zs6U7NlFPU3Z0p7Nfu49bX+3PQBY8sN8XFxd6fUPBLsQGoq8NhrTzHcxxxvRTVpCWsQOMqNs/IfOH8/Ob2Ccau8/7pw5jPGjVyzfsZAn+umrSD+xTzVpPVvX4dWOjRj99R/5pu84co4r0XFs+d+HHD13nY/nreGP6YO5lXybuctDWTHjXYQQ9Bw5lzb1q+Dl7qqaNonkXzFTSQhRWAgx+CE2pYUQeYfS8rd7rCfKR7n+Q/KHCSHq/d38Dzn3FSFEsYdbqo939UokX48i9aaBrMxMrv0VRolWeUdxawzux5lFyzDfvfvEtFWtVZMbV68Sdf0GmRkZhKzfQPOgtnY2hps3uXjmLFlZWXafZ2ZkkHE3AwBHJyeERr1qVCswkKtXrnD9+nUyMjJYt24dQUFBdjZBQUGsWLECgE0bN9KkaVMA0tLSOHToEHfu3FFNT25atm7E+nXbADh+/CweHoUoVsz+ASY9/Q6HDh4DIDMzkzOnL+Krs/wEW7VuyLq1oQCEbN1Fgwa1VNPWpm1z1qzZDMDRoyfx9HTHx6doHrujR08SExOX7zmGD3ubBQt+4Y6Kv8VjF6MJ0BXB37cwTg5aghtVZdvh83Y2F6LiaFi1FAANq5bKTr9wMxZzlkLTGmUAKOTihKuzo2raClIPACpVr4Z3saIc2LlbNU33qB5Yi2tXr3Lz+nUyMzLYvG49rdvb14WoGzc5f+YMWYq9tqYtW7B31y6SEhNJTkpi765dNFNpVBqgfVAQK1esBCAiIhIPT098fH3sbHx8ffBwdyciIhKAlStW0r59ewB27tyJ2Wy25o9A76dXUVt7G20ReHh63EebBxEREXm0XbxwkUuXLqmm5x7VA2txw6Y8/1q3gVbt29nZRN+4yfkzZ/OUZ+OWzdm/a3d2ee7ftZsmrVqopi23312/bh3tcvnddkFBrLTxu42tfvfUyZOYrA9a586dw8XFBScnJ9W0OZevRobhOpmmm2DOJGXPVgrVt/8te7TtTuJff5CVmgyAOSkhO82pTGW0Xt6kHd2vmiYAr6qVSbtxk7SoaJTMTIxbt+HToukj5084dATz7TRVNd3DqWw1Mk3XMcda7lnagS241ra/Z4Va9CBl23KU25Z7lpV8754pCEcncHBEODoitA6Yk/JvL/4OuuqVSLweRZK1X3Rucxhlc/WL7qbezv7f0dUlO2jkXbYU1w9Y/Ela/C3uJqeiq5b/jNy/g9avIlm3olESjZCVScbpHTiWb3Rfe8cqLck4HZ59LBycQOsAWkfQalFSE+6b9+8Q1L4dK1euBiAyIhJPDw98fHL5Nh8f3D3cibznd1eupn2udkNNvKpV5vaNqOx6YNiyDd/HqAfxB4+Qefv2ww3/Bs9qPxcK1h4AHNizl9TUVLfEFIIAACAASURBVFU13cOpbDUyjNcxx1j8x+39+fiPlj1ICc3Pf+TgWq8t6cf3oNxVr09ev1oZvDzc7pseeuAU3VvVRghBYKUAklLTMcUnsSvyPE1rlqewhxte7q40rVmenRHnVNMlkcC/JKgEFAYeFtQpDTw0qPQPXv8/h6tvMdKMMdnHt42xuPrYx7eKVC6Pq96H6F0H8uQvVEJP+9+/o/WCLyhWu7qq2nz0OozRhuzjmGgjPjrdI+f39dOzZONaVu8O45cf5qs2eqPX64mOjs4+NkRHo9fbP3Dq9Hqio6IAMJvNJCcnU6SIfWDnn8LXtygGmzI1GmPx9c0buLmHu0chWrRsyIH9R3PyGyz5zeYsUlJuU7iwpyradDofDNHG7GODIQZfnc8DcthTtWpF9H6+hIfvUUXPPUwJyei9c5Y36bw9MCYk29lUDvBl66GzAGw9dI7U9LskJKdxJToeDzdnhs5ZSc8JPzLz922Y8wnu/F0KUg+EEAwdN5pvPldnhk1udDo9xqicumCMjsb3EbX56nQY7PIaHjnvI2nT64iyOb/BEI1eZ19P9To90YYcm+hoAzp9Xg0vvPgiYWHheT4vmLYoG22GR9AWna82NfHJVSamxyiTf7488/pdXS6/q38Ev/tccDAnT5zgropBaQdvHzLjcvxaZpwRB297v+ZUPABHvwCKT15AiSk/4lqrsSVBCIq9/h5xP+edKVRQnH19SLdpC9JNMTj75PW3vq1b0PCXhdT4/BOcfR/dHxcEbWFfzPE598ycYEJb2H6ptYM+AEddKXzGLMRn3CKcq1vu2d2Lx7lz9hDFv9yM3xd/kX5iH5nRV1TT5u5bjGRDzn1LMcXirss77lezd1f6rv+JZu/3J3z6twDEnrtI2ZaNEVoNniX0+FapgMdjtHEPQ7gXRUnO0ZaVHIvwyL99F54+aLx0ZF6zDCCZo86Qee0YnoOX4PnuEjIvHyEr/oZq2gB0Oh3RNn4g2mBAn8tv6fU6om3aNEO0AZ2Nr3i976ts2rSO6TM+x9Oz4H0PF59ipBtz+n+WepC3PHVtWtD41wXU+vzjJ1YPntV+LhSsPfin0RbJx38Uyes/HPSl8B2/EN+Ji3Cp0TjPedwatuf2vr/+cb22GOOT0Bfzyj7WF/XEGJ+EMc7+c11RL4xx6sz0lUju8W8JKk0DygkhIoUQM61/J4QQx4UQvW1smltt3rfOSNophDhi/XukjRCEENWEEAes5zkmhKiQz/XFfTQghBht/eyoEGJarnNrhBCLhRBTcl/Xmj5ICDHT5rifEGKu9f/VQojDQoiTQog8i9lzz8ASQowQQnxs/b+cEGKzNf9OIYR6m8k8CCEI/HAQkV/8kCcpPTaedR1fYcvL7xD5xfc0/mwsDoXuH51/0piiDbwe3JUXW7cnuGcPihS7f2Dlv4pWq2HatFH8/ttabt40PDzDU0QIwegxw5g+/Zuncv1RL7fm4Jnr9JzwI4fOXENXxAOtRmDOyuLw2RuMerkNyz/px3XTLVbtUG85QUHo+Wof9obtIMZgfLixJF/eHfIu5sxMVq9a/bSlSApIhQoVGDVmDBPGjn3yF9docfTzJ+qTgRjnTMB34Hg0bu54tn+e2xG7Mcer9zD4OMTu3MOu7i+x/9W3iD9wiGqTnsK9uR8aLQ46f2JmDiB+3niK9B2PcHVH61sSB78yRI8IJnpER5yr1MOpQuATl3ds2Vp+6tyX3V8toP7blvHQk6s3k2KM4eXfvqXFyHeIPnoq3xmkTwLHyi3IOLsbrLNINIX90BT1J+m7fiR92xeHgFpoS+a/n9vT4tdffqNli7YEB3clxmRi/IQn83uM2bWXHd1eZu8r/Yk7cJgaH495ItctKLKfe3+E1X+Ypg0g7rvxFOk3HuHmnp2u8SqKY8nypJ/Iu4emRPJv5d+yp9IYoLqiKIFCiF7AIKAWUAw4KITYYbUZoShKZwAhhBsQpChKujUw9DvwKEvQBgFzFEX5VQjhBGhtr289dy8gMB8NgUA3oKGiKLeFEN4253UAfgVOKIoy9T7XXgHsBe7tttkbuGf7pqIo8UIIV+v1ViiK8qhztucBgxRFOS+EaAh8C7TJbWQNVg0A+OGHH/DKbZCLNFMsrjajaG66YqTFxGYfOxZyxatcadosmAWAS1Fvmn81mZ3vfUTCqXPcTbRMvU04fZ6UG9F4lCpJwil1pmvGGIzobJac+PjpiDE+/sNxrMnEpXPnCaxfj+2bCj4iYTAY8PPzyz7W+/lhMNgHZIwGA37Fi2MwGNBqtXh4eJCQoO40c1te7N2Jnj0tmySePHkOvU2Z6nTFMJny/5lN+Ggo165F8duva7I/M5ni0Ot9MJni0Go1uLu7cevW3x8t6dOnJ8+/YNmT48TxM+j9cka69HofTDYj6Q+iUCE3KlQoy5Il/wOgWDFvvv12OoMHj+bkiTN/Wx+AbxEPDPE5M5OM8cnoinjksflmuGUz6dT0u2w5eA7PQi7ovD2oHOCLv29hANrWrcjRC1GoRUHqQfU6talVvy49X30ZV7dCODo6knb7Nt/N+EIVbUajAV3xnLqg8/PD9IjaTEYj9Rrl7Guj89NzaF/Blv+89vprvPySZf+Go8eOUdxGm17vh8FoX08NRgN++hwbPz89RpsA3PPP96Jt2zb0efmVAunK0fayVdtRihcvbqNN/wja/Oy0/RPEGI3obe6Zr5/+qZanLcZ8/K4xl981PMDv6vV6vps3j5EffMC1a/Z7BhaUzPgYHIrm+DWHojoy42Ny2Zi4c/4kmM1kxkRxN/oajn4BuFSsiUuVQDzbP4/GxQ3h4EBWehrxv80tsK47phhcbNoCF18f7sTY68qw2fPq5poNVBiSdzPefwLzLRNa75x7pi3ii/mWfWDNnGDi7qUTYDZjjo0i03gNB10AzpXqcvficZQ7lqV56cf34FSuJnfPR6qiLcUUi4c+5765+xYjxRh7X/uzm8NoPX44W5mJYs5ix6zvs9Ne+Okrbl1VbzaQkhKH8MjRpvEohpKcf/vuVKUFaVu/yz52qNgYc9RZyEgHIPPyIbTFK2O+cbJAml577RVeetkyLnvs6DH8bHyIn16PIZffMhiM+Nm0aXo/PUarn4mNzfkuvy9dzkIVNnlOj4nFRZczi8VSD+zLMyMxpx7cWLOBCkP/mU3Mc/Os9nOhYO3BP405IR//kZCP/7ho7z8cdQHcvXwKALcGQaQd2Q7WZe5PCp23J4bYxOxjQ1wSOm9PdEU9OXAiZ1m7MS6RBtXLPlFtkn8//5aZSrY0A35XFMWsKIoRCAfq52PnCMwXQhwH/gDyf41EXvYC44QQo4FSiqLktynA/TS0AxYpinIbQFGUeJs8P/DggBKKosQAl4QQjYQQRYHKwL3NTIYJIY4C+wB/oMKjfBkhhDvQBPhDCBFp1eGXn62iKPMURamnKEq9AQMe3ijGnzyLR0AJChXXo3FwIKBDK26G5UTtM1Jus7rN86zv9BrrO71G3PHT2QEl5yJe2Wu4C5XQ4x5QgtQb0fe71GNz+thxSpYujV/Jkjg4OtKucyd2hWx7pLw+eh1Ozs4AeHh6UrNeHa5euvyQXI/GsaNHKV2mDCX9/XF0dKRLly6EbN1qZxMSEkKvXr0A6BgczN496i7Xys3yZRt4qfdQXuo9lO3b99G5iyXeWKNGJVJSUomNzRvQGvzua3i4F2LmDPtOW3jYfrp0tazpbxfUjIMHjhVI22+/raRnj3707NGP0NAddOtmCX7VqlWN5OTU++6dlJuUlFSaNA6mXdtetGvbi6NHT6oSUAKoUdaPq4Z4bphucTfTzMZ9p2hdp7ydTULybbKyLPtmzF+3l54ta2TnTb6dTnySZc+F/aeuUq6EeqOFBakHn7w/gp7NWtOrRVvmfj6dTatWqxZQAjh59BilSpemhFXbc106E7Y1/zf25WZ3+A6aNG+Oh6cnHp6eNGnenN3hOwqk5+clPxMc3Ing4E5s2bKFntY3ytWuHUhycjIxJvsH6hhTDMkpKdSubZnl0LNXT7ZY63LLli0YOGgg/d96m/T09ALpytEWbHlzm5222g/Qlkzt2rVttG0psI4HcfLoMfxLl6K4tTw7dOlE+NbQR8q7N3wnjZo3yy7PRs2bsTd8p2racvvdzl26EJrL74aGhNAzH7/r4enJgkWLmDF9OocPHVJN0z3uXDyFo18ADj7FQeuAe5MgUg/Z/5ZTD4TjWq0OABoPL5z8Asgw3sT0zUSuDe7CtSHdiPt5Dsk7NqoSUAJIOn0WV/+SuPjpEQ4O6ILaELPDvi1yKpozbubTvAmpV9QNuN2Pu5dP4aDzR1vMcs9cG7QnLdL+nqVFhOFcqS4AGncvHHQBmGNuYo434FypDmi0oNXiXKmO3QbfBcV48iyFA0rgWcLSL6r4XCsuhdvPZigcUCL7/zItGnLrmuUNTg4uzji4ugAQ0KgOitlst8F3QTFHn0NbpDjCSwcaBxyrtCDjQt7grca7JMLFHXNUTvuoJMXg4F8dhMYyC8y/ht0G33+Xn3/+lU7BXekU3JUtW0Lo2dPy0oHAe343VyAzJiaGlOQUAu/53Z7d2brF0m7Y7r/UoUMQ584VfJAy6dQZ3PxL4FrcUg/07dtg2nn/euDbogmpl59MPXhW+7lQsPbgn+bu5VM42vgPt4btSYvI5T+OhOFc2d5/ZJpy3rTm1qjDE1/6BtCmfhVWh0WgKAqRZ6/h4eaCr7cnzQIrsOvoBRJT0khMSWPX0Qs0C3ykx0SJ5JH5t8xU+ju8DxixzCbSAI/Us1cU5TchxH6gE7BRCDEQUGNX0z1AayHEF4qiPEjLUuBF4AywSlEURQjRCkvAqrF1BlQY4JIrXyb2QcR76Rrg1r1ZVmqimLM4Mn0uLb/9HKHRcGnNXyRdukr1d/oSf+ocUeH3nxbqU6cG1d/pS1amGbKyODx1DneTku9r/7iYzWa+/Hgys39agFajZf0fK7h8/gL93xvGmeMn2BW6jSo1a/D5d3Px8PKkWdvWvDV8KK8+15nS5csxdNwYFEVBCMHv83/k0ll1ZlCZzWYmffQRS5YsQaPV8sfy5Zw/f573P/iA48eOEfJ/7J15uJ3T+YbvJzEkhhhaVa0pUlNoYqyhaipaY1HzWFUUJeWHVo1Fq+ZKtKghxhoiaGKMIIk5xByhCFo6KxFDDMnz+2Otfc539tnnnCSNs9ZJ1n1dufb51t7bfuzh+9Z61/s+78iR3HDDDZx33nncP3o0k959l8N+8pOm5z/w4IMssOCCzD333Gy+xRbss/feLToY/a88+MDjbLDBWgy77VKmTPmYk088r+m+628YxG67HsaXvvQFDjhwNyZO/CvXXR+6ndxw/XBuuWUEt94ygtN+dRR/Gn4J7703mZ8fc+Ys0zZ69MNsuOF63D1iCFOmTOEXv2iOz958yxXsuMMPADjqqEPYepst6NmzB/ePupWbbhrO7y6Yhd1g6pirezeO32cLfnTWDUybZnbcsB/LL7kYA4eOYdXeS7DpGsszdsJfOPfG0Uiw1opLceK+wTS5e7duHL37puz3m+uwYZVlF2fnTWbdT/V/+R183kydOpVfn3gyF151Jd27d+PWG4fw6ssvc8gRP+WF555j1Mh7WaVfP3578YX0WmghNvr2tzn4iAHsuMV3eW/SJC4eeAHXDQtlZRcNHMR7kyZ18IrTz/333c8mm2zC6DGj+Oijjzj6qGOa7rvjjtvZaqvQOv2E40/g7HPOokePHowaNZpR948C4Jen/JJ55pmHa665GgiG2scdd/ws1jY6amtuI3/HHXew1VZbVbSdHbWNatL2ne98h5N/eTKLLroolw++nAkvTGCfffb5n3VNnTqVM078Jb+7ajDdundn2I1DmPjyy/z4iAG88NzzjBl5L337fZ1zLr6QXgv1YsNvb8qPjxjAzltsyXuTJnHpwN9xzbBbALhk4AWz9POcOnUqvzzxRK6I592b4nn3p/G8e+/Ikdx4ww2cc9553Dd6NO+++y4D4nl3n333ZZlll+Wwww/nsMMPB+AHe+/N22/PInPnaVP5z+VnssRxA1G37rx3/zA+fXMii+xyEB+/OoEPx43ho2ceYb7+67DUuTfgadN4+5rzmfb+rHt/GuGpU3np7PNZfeBZqFs3/jb8Tj547XWWO3A/3pvwEv954GGW2vX7LPat9fHUqXz63mTGn9Jc8b/mxQOZf5ml6d6zJxsMH8ILp53Jfx+bRV0kp03l3WvP4otHDELduvPBg8P47G8T6fW9g/jk9QlMeWYMHz//CD1WWZfFT70Rpk1j0pCBTPtgEh89cS/zrrQ2i//yesBMef4Rpjwz6wKYnjqNUadfwPYXhnnRC7fezX9ffYN1D9mXf47/M6+NfoR+u32PpdddnWmfTmXK5MmMOCFcJ3suujA7XHg6nmbe/9d/uPu4Wexn52l8NPIi5t/5FFA3Pn3uHqa9/Rfm3WBPpv7jZT57JXhfzr3yhnwyoeUi+9OXHqL70v1Y4Ie/A5vPXnuSz15t7ZX5v3D//aPYZJONGDX6Xj766COOObq5jOz2O4ax9VYha/mEE07mrLPPoEePHoweNbrJs+7YY49h5b4rg82bb77FL35xwv+syVOn8eJZA1lj4JmoWzfeGn4nH0x8nT7xd/DvBx5m6V135EsbfjP8Dia9x/OV38Hafzi/6Xew4fAbGf+rs3j70VnzO8h1nlvTNrPXA4DLbryOZfv0oef883HnIw9yys+O5ZExs+h3Om0q71xzFosdFc4f7z8Qzx87HMQnr01gytNjmPJcOH98+Vc34mnTePfGcP4A6P7FJei+6OJ8/NKTs0ZPhSPPvZ6xz7/GO5M/YMMf/YbDdtuMz2I21O7fWYeN1lyR0U++xOaHnEPPeefm1z8JGyELLzgfh+y8CTsdE7LxD915UxZux/C7UJgZ5FnVijQhMWvnSdvLSNoROAjYClgUeAJYB/gqcK7tjeJzzgPetH2OpP2Ay0N8RssCt9lu6AwtaTngtRjMORt4E7i69vrxMW1pWA04EdisVv4WS9ZGAUcBGwIbAzva/qyN118k/vf+AvzM9lhJ3wN+ZHvb6If0NPBd26MkvU4o65sE/B1YEXifkD11l+2TJT0MnGd7iCQB/Ww/08Hb7htW//w6aswsuz51D+svt2JqGQ15eOJL9F5mmdQyGvLaG2+wev+tU8toxVPP3A7AyitNl+VZpzLhxbAbOW3s4MRKWtPtG/tl/Tvot2yeadfPvj6RZZfpnVpGK15/I+wQL7vMsmmFNOD1N14HYI1lv9b+AxPw5OuhPXWfDM+7r77xBq/u0iiJOj19bnycketsnFpGQzZ7bBRv7v+5NMv9n1jyspCldn7//OZFA54JWXeTzvz8NwNmlIWOuY3ey+aZMfHa6y8z4hubpJbRkC3G3p/lNf7hiaHhSM7Xg7/+IL/zx1JXxCzX8UPTCmnEKt8HUGoZhfyZLcrfonfQQ9GIej3gWeAZ4D7gGNv/iGNTo0H2EQTfoH1jydhKwPT2ptwFeD6Wiq0KXFV9/WikfUsjDbbvAoYBT8TnH1X3/3Eu8BRwtaSGn43td4AJhNK72jbQXcBckiYQTMMfbfC8T4FTgLHAPYRMpxp7AvvH92I8wfepUCgUCoVCoVAoFAqFQqFNZpvyN9t71A0dXXf/p7Q2n+5X+ftn8XGvE4JFbb3ObwiBm+l5/aMbPK7V821vXPn7pLZeu/KYbeqOPwa2bOOxy1b+HggMbPCY14DvdvS6hUKhUCgUCoVCoVAoFAo1ZotMpUKhUCgUCoVCoVAoFAqFQucy22QqzWokfQeod0F8zfYOnfT6jwHz1g3vbfu5znj9QqFQKBQKhUKhUCgUCoX2KEGlNrB9N9D5/SCbX3+dVK9dKBQKhUKhUCgUCoVCodARpfytUCgUCoVCoVAoFAqFQqEww5SgUqFQKBQKhUKhUCgUCoVCYYYpQaVCoVAoFAqFQqFQKBQKhcIMU4JKhUKhUCgUCoVCoVAoFAqFGaYElQqFQqFQKBQKhUKhUCgUCjNMCSoVCoVCoVAoFAqFQqFQKBRmmBJUKhQKhUKhUCgUCoVCoVAozDAlqFQoFAqFQqFQKBQKhUKhUJhhSlCpUCgUCoVCoVAoFAqFQqEww8h2ag2Frkn54hQKhUKhUCgUCoXC7ItSCyjkT8lUKswsmlX/JB00K/97RVv6f0Xb7KOraCvaiq6irWgruoq2oq1oy1/X56StUOiQElQq5MCBqQW0Q9E2cxRtM06uuqBom1mKthknV11QtM0sRduMk6suKNpmlqJt5shVW666IG9thdmUElQqFAqFQqFQKBQKhUKhUCjMMCWoVCgUCoVCoVAoFAqFQqFQmGFKUKmQA39ILaAdiraZo2ibcXLVBUXbzFK0zTi56oKibWYp2macXHVB0TazFG0zR67actUFeWsrzKaU7m+FQqFQKBQKhUKhUCgUCoUZpmQqFQqFQqFQKBQKhUKhUCgUZpgSVCoUCoVCoVAoFAqFQqFQKMwwJahUKBQKhUKhUCgUCoVCoVCYYUpQqVBogKR5JK0a/82dWk+hUCgUCoWZR1J3SUek1tFVkdS7wdjaKbR0FSR1T62hUCgUOoMSVCokQdLOkhaMfx8v6WZJa6TWBSBpY+Bl4HfA74E/S9owqaiIpD6S5o1/byzpcEkLp9YFIGkFSfdKej4e95N0fAa6vilp/vj3XpLOlbRMal0AkgZI6qXAZZKelLRFal2QpzZJx8TbQZIG1v9LqKtXvF200b9UuqpIOjN+nnPH3+m/Je2VWheApB0lvSxpkqT3JE2W9F5iTQ/G28lVTTloq5H5uW3xeN64Mx73lbR/Sk22pwK7p9TQCEkrxds1Gv1Lra/CUElfrR1I2gi4PJUYScMlDWvrXypddbws6SxJfVMLqSHpt/G24fuXWFu2c1zIfu2S5Ry8MOdQur8VkiDpWdv9JG0AnAacBZxoe53E0pA0DtjD9kvxeAXgOttrplUGkp4G1gKWBe4A/gSsYnurlLoAJI0GjgYutr16HHve9qqJdT0L9Af6AVcAlwK72N4opS4ASc/Y7i/pO8BBwAnA1baTT1Jy1CZpW9vDJe3b6H7bV3a2JgBJt9neRtJrgAG1lOXlUuiqIulp26tJ2gHYBjgSGGO7f2JpSHoF2Nb2hNRauhKZn9vuBAYDx8XzyFzAU7a/nljXecDcwA3AB7Vx208m1PQH2wdKur/B3ba9aaeLaoBCVtLvgW2BNYDTgW1s/zWRntr3fEfgy8A18Xh34J+2k2elxQDEbsB+hI38y4HrbScLTEta0/a4yvvXAtujO1tTjZznuJD92iXLOXhhzmGu1AIKcyxT4+3WwB9s3y7ptJSCKsxdCygB2P6z8imBm2b7s7gwHGR7kKSnUouKzGd7rFRdT/NZKjEVPrNtSd8DLrB9Weod8wq1N2srQsBmvOrewIRkp8328Hh7JYCkBeLx+4l1bRNvW5WHZETter81MMT2pHy+avwz54CSpP7At+LhGNvPptRTIedz2xdt3yjpWIB43Zra0ZM6gdXi7SmVMQPJAje2D4y3m6TSMD3YflzS4cAIYAqwme1/J9QzGkDSObbXqtw1XNITiWS1wPZk4BLgkhjE+SNwnqSbgFNtv5JA07h4O1rSPMAK8a6XbH/a2XrqyHmOC3mvXXKdgxfmEEpQqZCKtyRdDGwOnBHTXXMpx3xC0qU073rtCWQxQQE+lbQ7sC9htxDCrmsO/EdSH8IEHUk7AX9PKwmAyXFhszfwLUndyOc9GydpBNAbODbuak5LrKlGttokrQpcDSwaDvVvYB/b49MqA0nbAbVy2VG2b0upp8Jtkl4EPgIOlrQYYWGYA09IugG4Ffi4Nmj75nSSApIGAAcANS3XxsySQQll1cj53PaBpC/QfD1YF5iUVlLegZu4eXUwlfMHIesg6UJf0nDi5xiZj/BZXiYJ29ulUdbE/JKWsz0Rmryf5k+sCWjyVNqakKm0LHAOcC0hSH0HzQGdFNo2Bq4EXidsIi0laV/bY1JpIu85LuS9dsl1Dl6YQyjlb4UkSJoP+C7wnO2XJS0BfN32iMTSiBeJQ4EN4tADwO9tf9z2szqHWJf/Y+AR29fFydMuts9ILA1JywF/ANYH3gFeA/ay/XpiXV8G9gAet/2ApKWBjW1flVIXQFwErgZMtP1uXIR9NYdMiMy1PUwoq7k/Hm8M/Nr2+ol1/QZYm7BogFCG8bjtX6RT1YyCv9Mk21MVvHgWtP2PDHQNbjBs2z/sdDF1xBKz9Wx/EI/nJ5x/+6VVlv25bU1gILAq8DywGLBT6vOHpMWBXwNfsb1lvKauZ/uylLoA4mbW3ISFPoRg4VTbP0qnqkWZWUNSlksBSPouYe4xkRAcWQY4yPbdKXUBSJoI3A9cZvvhuvsG2j48jbI8rR5ynuNC9muXLOfghTmHElQqJCFOflth+y+draUrIWmA7fM7GktJXHR1i2nfWaBgXru87ZFxUtA9F30KxqfLUMkcTbxTCIT0H0KW3nK2T4m/2S/bHptYWpPfU0djnU0MQKxme1o87k7wkckhADEfwUdp6ejfsjywYkaZVFki6TlgbdtT4nEPQhAnqTdQjczPbXMBKxIW+jmU1mTr9QT5ntdqxAX+3yu/hZ7A4jksWuNm4Erx8MVMNgG7E75np3T44AQo+gN1NNbZxO/V0lUbilyQdLXtvTsaS0mOc/DCnEEpfyuk4naaDW17EEpsXgJWSSVI0o22d4mLiFbR1tQX2si+QH0A6QcNxjodhQ4d+xBSvOeq1XWn3IkDkHQAcCChVKoP8FXgIuDbKXUBSDoD2BV4geZafQPJg0oEQ9ZpBK+RU4DJwFBCJk5qJko6gVACB7AXYZc6BxYG/hv/XiilkDoGA+MIu5gAbwFDgORBJUlLAoOAb8ahB4ABtt9Mp6qJwcBjSa/ZeQAAIABJREFUkm4hXK++ByTPaoHsz23PAtcDN9h+NbWeCrl6PQFMldSn9n7FzINctEE4X1SzQafGsaTXhErAfBnbB0haXlLygHnMCN2Glv5dOZGd1YOkbYGzgXmA3pJWA07JoMSyRos1SgwcJm/iAyDpxLpjAHINahZmP0pQqZCE+l1BhZachySSU2NAvN0mqYoGxBrzPQgX2WrL1wVpXsCm5g7gUeA5MvHeiRwKfAN4DCCmLH8praQmtidkiyTfVW3AOrbXUDTJtP2OgqlnDvwQ+CXNPjcPxLHUnA48pdDFSQRvlJ+nldREH9u7xnMJtj+UsnHqHkwwsN05Hu8VxzZPpihi+1xJowjl0Ab2s52LcWzO57ZtCQHzGyVNI3RbuzGDbOQsvZ4iRwP3x5IpCBs0+6WT04q5bH9SO7D9SSbXhFrAfL14nE3AHHhI0gVk1G2wwsGEc0ht4+8BwmZSSk4mnNNGAdh+OgZXkxKD0L8Aekqqde4T8Amh5CwHPqj83YOwlsm2AUZh9qMElQpZYPtJSUlbctquGdodYvtn1ftiRsnPWj+r03iYYLj3RYLRY43JQHKPm0gP20emFtGAj+PkF2gqycil7nciwUMjx6DSp3EXrrb4WoxMgoW23wEOl7QQoVtMFmne0QNiFGHn3sDPcvAsinwSywpqn2cf8vneLWa76qt0haSfJlPTGNGcXZsL2Z7bbL8BnAmcGUstTwDOALonFRYyWoYBfSQ9RPR6SiupiYeAiwmZZu8CdwOPJFXUkn9L2s72MACFroP/SawJ8g6YZ9dtsEmE/XEMeN1LuLa/VA0aJuJTt+5MmnzeYft04HRJp9s+NrWeRtiurg2QdDbhHFIodAolqFRIgqRq8KEbsAbwt0Ry6tmc1gGkLRuMdRpxgv4GzTtxOXJ1LMe4jZYdnFJnUo2WVNth2pyQETc8saYaHwJPS7qXlu9Z0pLByEDgFuBLkn5FWHgdn1ZSQNLawOWETD0kTQJ+6NgqOTHr0ZzVMhfhPcyBk4C7CB1+riWUmv0gqaJm3pa0F3BdPN4deDuhniZiScHOhNJPAYMlDbGdQxvpnM9tNb+nXeO/qcAxaRU1bWBtRGZeT5GrgPeAU+PxHoQS353bfEbn8mNC98PfxeO/EszEU5NtwNx5dxvcmlAu+yrht9Bb0kG270woa7ykPYDuMRh9OGFTNQtsH6tMfTAbMB+wZGoRhTmHYtRdSIKkkyqHnxFamg6tGUCmQNLBhEn5coSLbI0FgYds75VEWAVJOxJ2e79EmASI0CWpV1JhgKRDgV8RdlhrJxbbTpq6rNDFbH9gC8L7dTdwqTM4+Unat9G47SsbjXc2klYi7JoLuNd2FqnU0a/lUNsPxOMNCB0aUxuM/h74Gs3BkV2BV20fmk5VM7HsZ13C5/mo7RyyDGrBh0E0B80fAg7PoFQKSS8B/evMiZ+2vWJaZdmf2x4jZGEOIfgq5eJ5hqT1id5/tTHn0THvBdt9OxpLjaQFAGy/n1oLQAyoHg/0BUYQA+a2R6XUVSMGb1YhlCQBefjcSHoR2Mb2K/G4D3C77ZXaf+bnqmk+4DhantNOTbk2qKLQ4XU36nwwc/B8qvOD7U7IwjzF9gXpVBXmJEpQqVCIxFKaRQi+KFUflMkZZNsAIOkVYNtcFvdVog/EN3JZqFZR3t1E5gFWiIfZ7JrHCeabMUV+Y6AfcJXtd9MqA0lP2V69buxJ22uk0hQ1vAisXFvUx0X/eNsrp9QVtTR6byYBb9j+rLP1dBWiP9YOte+9QkOCm20nL19R6PIzxfbUeNwdmNf2h2mVQTRKzvF8ezXB1PxpWi4Kk2eHSroGuMD2o/F4HULwfJ+0ygJxjnQSwSsOYDRh0ZrMkyqWuS1JyPrNMWB+ESFjZBPgUkLG71jb+ycVBkh63PbalWMRtOXQjCNL4iZDvxx9MOPmTI3PgH+Wa3uhMylBpUISJK0AHEXr3cLkE/Ua0fC0urOUw675Q7a/2fEjOx9JI4Dtc1jQVJG0HXAWMI/t3sqom0gM1lxJyNQTsBSwbw6p1JKeBtYi/EZvJ/iQrGJ7q5S6ACT9FuhJyAgyISNoCrGLTSoTVEm3ERaBb8TjZQiLxG1T6Kki6VFCmfGzhO/aqsB4Qoe6g22PSKjtTOA04CNCiV4/4Ajb17T7xE5A0q0Ej6x7CN+1zYGxwJuQtlQ1fqab1TJGYgbJCNvrt//Mz1XTXravqStxb8L2uZ2tqYqkCUDfHLK56onaVgRqc42lCV1xPyMEvlJnYg4FnidcsyCUvvW3vWM6VSFDw3XNX3JB0rO2+1VuFwDutP2tDLRdSCjjupFwbtuZ8N0bCWD75raf/blpGk5rX7hJhK50F6fOWJJ0J7BzLll6AJIWbe/+XDbFC7M/xVOpkIohhFruS8mrZW6tpem5wFeAfxEuuhOoayWaiCck3QDcSksPnk6/+DfgA4I/0P3k5Q90Eq27ifROqqiZc4Atajv6Mdh6HXm0qJ3m0G57R0JgZJBiJ7gM6B9vT6obX520JqgLAhMkjY06vkH4zQ4DSBzI/Buwv+3xAJL6EsxjjyF00UsWVCL8Bo6RtAMhwLojMIbmVtcpuYWWvlijEuloRI/q4sb2+7F8JCXzx9sFG9yXQyDneeDLhMYXufHd1AI6oI/t71eOfxk3H1LzpKS1bT+eWkgDPoq3H0r6CsErbomEeqr0AP4JbBSP/03YrNmW8FtNMa+cSCjbqpaQTyZkc19Ceg+vHH0wx9F2EwkTLD0Khc+dElQqpOIz2xemFtEGpxHSqEfaXl3SJoQW1znQi3BR26IyluriX8+t8V9uNOomksPiBmDuaomI7T9LmjuloAqfKnTT2YcwyYTgkZKcjsxPJe2byJfqxASvOb2sUAsoAdh+QdJKticqfaOk2vdqa2BIg99rMjr6HkkaWrfQ7kw+kLRGLTNP0po0L2KTYPvi+OdI2w9V75OULMu2kgGxIPBCDPxWF4XJM1drGY4Z85GkDWw/CE2fZ9LvW2QdYE9JbxA2t2pek0kzuyK3xZLZs4AnCd/BS9NKCtjer737JR3r0PWsM1m/rvxueK1MT9L4Np/VeQyL/7LBdi6bpIU5nBJUKqRiuKRDCDvAOXUKgxCEeFtSN0ndbN8fy22S09EkICW2r8zUHyjnbiJPSLqU5oyMPQlp3jmwH6Hbz69svxazu65OrGl6GUBziUanYXt0e/dLesR2qg6O42O5w/XxeFfC4npeIPXvdFj0o/oIOFjSYoRyxq5Ayl3gnwJDJP2NsJD+MuFzzYFBhHLLjsY6i7MTve7sxI+Bq6K3EsA7QMNmE53Md1ILaAvbtU5+Q2N5dI+UHlQzyM4Ej9HOZAFJS9fsJiQtDSwQ7/ukk7W0Is5zc/boXARYnpbWHcntFApzBsVTqZAESa81GLYTdwoDkDQS2J5wMf0ioQRu7ZQ+FTViedSFwOK2V5XUD9jOGbS3ztUfqK6bCIRuIqelrs0HiAv6Qwkt6AEeIHQxy84EsivRyMg7B1LqihPhQ2j+rj0E/J4QvJkvlUdENDNfF3gRmGR7ajSgXtD2P1JomhFSG8THzMZaJ7rkgXxJ6wHrEwJe51Xu6kUwPO/f8ImdhKQzbP+so7FCayT1jhsMvQBsv1cbS6ipO6EZQrKOZY2IZeNtkollQbukuF5J2opgjfEqYR7Zm3DdGgUcYDvpBm+0xzibPD06f0TYUFuS0IhgXeCRnLxqC7M3JahUKNQRFzQfAd0ImSMLAdfafjupMEDSaOBogmHh6nHsedurplUGksYBe9T7A9lO4g8k6Wrbe0saYPv8FBq6MrG04WSCp9hcNJcUJA/8dkTqhX5b5KorNbkGAaeH1J+ppPVp3fDiqoR6NgI2JmS1XFS5azIw3PbLKXTVaPR51UyUU2nqKrTx3o1LdY2vaPgTcJgzaKZSQ9Lgdu627R92mpiZJNW5LW621YKEL+WwAVgjznM3BUZlOAd/jtBU4lHbq0laCfh1aiP9wpxDKX8rJCHurh5Mc2vaUYRASepd1u7AbdGzZRoJSmg6YD7bY+v8RnJpGZqbP9Ca0Rjzh5Kuos7EMGWppaQbbe8SJwGtIvuZLHAuA44gmEBmZaY/HeRhyJMRsfTzdKAvLVPjcwgS3ivp+8DN7no7Xcm+a5KuBvoQdqVrv1EDyYJKsQR0tKQrcvIIknQwIeOhj6RnK3ctSD7l0FkSF6erAAvVZeD0onIuScgihPLesQRPJSCtT1bOVgUzQKpz2/KE7MseQH9JSQPldTTy6JyWSkwdU2xPkYSkeW2/KGnFjp9WKMwaSlCpkIoLCeasv4/He8exHyVTBMTSi2mSFsq07v0/kvoQAxGSdiKfLja5+QNdBNxL8DwZR8sJUuqOGAPi7TYJNXTEJNt3phYxkzzU8UOSkDLYNZjQLe88YBOCZ1a3hHqqHAQcCUyV9BHNWXG90soKdOAVl7Jsai2gb6aBuHkl/YHWWVSpSjH+CNxJCKz+huYNrQdt59LVMldWJFyrFqa5aQOE7LMDkihqyQmpBbSHpK0JQblqMP+UdIqmmyGd/YKSTiJkOvYF7gC2BB4kYaC8jpw9Ot+MpvC3AvdIegfIJrBfmP0p5W+FJEh6pt5bodFYCmIq9erAPbTc9UrZMhQAScsBfyB4VrwDvAbsZfv1lLogX38gSRfaPrid+xex/U5naqq8drb+HpJ+A3QndBasmuk/mUxUJE6c9qH1gjWH3+jihBR0gLG2/1W5b1XbzyfSNc72mpKes/316lgKPV2FXL3iACQNAQ63ncvGQhOSniEE9ltkOtoel0wUIGkAYfPqZsLnuT1wie1BKXV1BSStZ/uR1DoaIWkZYHnbI6OPYnfbkzPQdREwHyGQfymwE+G6sH9SYUBsiHAAra+jyUrzYvZ2f+Ap2/3j9fQa25un0lSlzqNTBI/OU3Mq0YOmMuSFgLtsJzc4L8wZlKBSIQmSngR2tv1qPF4OuCkHvxFJDbuZOE2L8oZE36duOUyaakRNU2xPjcfdgXltf5hWWfuk9ETJ2d9D0v0Nhp2D6aOkh4FHgeeopJ6n/o1K2oXQOnoUYcL5LeBo2zel1AVN79kGwE3AfcBbwG9sJ0+PV6gl2BPobftUSUsBS9gem1hadl5xVeJvdDVgLC0DvzmYxmYZsIylb+vZ/iAez08ws01+zs0dSWcCpxE8J+8C+gFH2L6m3Sd+/roOAA4EFrXdJ2aQXGT72yl1QfP1vHK7AHCn7W9loO1hwuZffeB3aEJNY21/I553NyFkw03IzYg9RyQNBK63nUvmVGEOo5S/FVJxNHC/pInxeFlCOUZyOlqYShpq+/udpafutVtkaNTqunPI0CCUmm0G1LpI9QRGELKqcqbTS5Iq/h7LNfD3yKJ0K/qK5UoP20emFtGA4widIv8FTTvBIwmBnNQMIOyYHw6cSjAbzaEdOIQy6GkETacSziG/oznjKyW5ecVVOTm1gHYYLukQ4BZaBrySedlFREuPuKkUD7bpZQvbx0jagZC5tyMwhuaS91QcCnwDeAzA9suSvpRWUhO1DJYPo8fjf4ElEuqpMl8OWdF1PBHnuZcQgl3vA9lkx0laC/gFrbO7cghKjwOOjz5KtxACTCktKApzGCWoVEjFQ8DFwLeBdwkppNlcODogpRfPHTTI0MiEHq60Jbf9fkwVzp0U6ZpVf4+fV8YnZ7DoAprKuH4NfMX2lpL6Enb4L0ssDeDquDt9G3ktWLtVy92At8nEt8j24/HP9yXtDyxg+72UmiqsY3sNSU8B2H4n+hjlQG5ecU1EU+xcqQUsj66Mpfayg+At9pikW+Lx9oSmBIWOqQVTtwaGNDAsTsXHtj+paZE0F2mu640YHoMkZwFPEnRdklZSE7dJ2sr2HamF1LB9SPzzIkl3Ab1sP9veczqZawnntOzm4HFD/EpJiwLfB86QtLTt5RNLK8whlKBSIRVXAe8RdqUB9gCuBnZOpmj6STlZyTVDA+ADSWvUPHckrUlIky/UEU3gJwG7S1qDUJZkQrA1dWCkxhWEBdhx8fjPwA3ksQD7hDBJP47m32MOC9a7JN0NXBePdyUED5Mj6Y+ENu9TgceBXpLOt31WWmUAfBrLZWsNCBYjnwn7wYRMiFo26AOELKrkSFoXGASsDMxD8ED7IAeDc9u9U2tohO1zJY2i2ftvv2LUPd0Ml/Qi4bp+cPyd5uAlM1rSL4CekjYnZAEPT6ypxovAVNtD48bMGgQj5WRImkw41wr4haSPgU/JoEGCpG8CT8fy1A2ANeJ1KhfD6X/bHpZaRAd8DVgJWAaYkFhLYQ6ieCoVkiDpBdt9OxrLkcQePEcQ0oFzy9BA0trA9cDfCJOTLwO7pjZm7QhJT9lePdFrnwDsQjCNhbBrPsT2aSn0VJH0uO21q++PpKdtr5aBtonAN2z/J7WWehRabjeZ1du+pb3Hdxa1z07SnoSFzc+BcTmk7UdNuwJrEoKZOwHH2+707kP1SBpg+/yOxlIg6QlgN0KXprUIpdEr2D42qTCaDG2PBJa2fWD0uVnR9m2JpRX+B2IWxCSHTrnzAwva/ke8b3Pb9yTQ1A3Yn5bmyZc6gwVOxUtpA8Im6tnAibbXSSwtS6IdQH+CX9cVBHPzXWxvlFJXDUnfBnYn2D1U5+A3t/mkTiJ6nu0AvEqYi99q+920qgpzEiVTqZCKJyWta/tRAEnrkElJwXSQMt871wwNbD8uaSVC+2Fo3Xq704nZD+M7MHlMaea5F9C/1jlEoePa0wQz1NR8IOkLNGePrEvIrsqBV4DsDODV3Lnv5gZjqZk7egFtD1xg+1NJyRddALavjcastd/i9rZz2WHdF6gPIP2gwVgSbL8iqXtskDA4lhAmDyoRshzH0eyp9xYh+FWCSl2Y6gZWzCb5oHL3GYSuuZ2CpHujGffp8RybS1lZlZp/19aELoO3S8rh+l59/9od62Q+s21J3yNcpy6L5dq5sB8hC2humrNpTeWan5BXCRYFDTfbJK1ie3wnayrMQZSgUqFTUWgXasIJ+WFJf4nHyxDShJMjaVvgdtttlV+kXCD+H/C1HDM0ImvTbGC4hiRsX5VKTNxNfSnWlf+ljcekzPL6G9CD5hKCeQmLrxw4EhgG9JH0ELAYIYMkBz4Ano7dr6q7hakN6zen9flhywZjKbiYYK77DDBGoQV3Lp5KEEzEayVwPRNrQdLuhLLs3pKq5Q4Lkk+J6ofRe+rpuEv9dzLx8AL62N41vo/Y/lCZGPAUPjc6+/NdQtL6wHaSrq9//VopfmLeknQx4dpwhqR5SfwbldQDmB/4oqRFaH7fegFfTSYsMFnSsYQNtw1jFloujREgNOJI3jG1EbYv7uAhVxOylAuFz4USVCp0NtukFjAd7Ar8VtJQ4HLbLYJdtkekkQVkmqEBIOlqoA8h06a2O2eCf1ZKFgHGSxpLZVfVGbTdJmT+jJd0D+G92hwYq9AaNmmQxPaTkjYiZJ6JDDLPKtxKYl+KKuoa3fwGAgMrQ29IyqLDn6QTCX56QwnftcGSUpeBPkwI0nwROKcyPhnIxTh2b8IC9SfAEcBSBIPWHPhEUk+aMx37UAkAF2ZLOjvz8UTgBGBJ4NwGWjbtZD2N2AX4LnC27XclLUFL8/oUHAT8FPgKwTy8xnvABUkUNbMrIZi/v+1/SFqakJ2fCw9L6mv7hdRCZoIS1C98rhRPpUKhAZJ6Eeqm9yNMTgYD19menFjXLcAqQG4ZGkiaAPTNwcegSgyMtCKHzkmS2m3pHrt5JCHuZh5Cs4n4A8BFtVK91MQMjRXiYdKAl6SFCMHLdrv5SVrE9judrS++9gDCeWwywadideDniYPkAEh6iZZloD0JZq1Z7ghXkfSI7fUSvfaOhKza7II10TD5eKAvMAL4JvAD26NS6ip8fqTym5R0gu1TO35koYqkw2wPSq2jSvTpmhKzzFcglJrdmcuGVpzn9gFeI8zBa+bmyb0JOyKlH2xhzqAElQqFNoh+MnsTdnQmEDoqDEx5EW4rCJEy+FBD0hDgcNt/T62lHkmLE0rzAMa6Zdv3pOQUHKki6UZCAKLWSn0PYGHbyTs0StoYuJJQziVChsa+tscklNUhiU3+n7HdX9J3CDvVJwBX5zDJjGWMO9RMRRVacN9sO4dMg3ZJbPQ/mJCNMYbQmfEu25+l0NKIeA1dl/AbfTTjsu3CLEDSzbZ3TPC63QjXp+VsnxKzW75se2xna+kKSNrU9n0xKN2KlKbT0VvvW4RNmocInUo/sb1nKk1VYtl4KzLqTtcmJahU+Lwp5W+FQh3RIPAHhCDSVYQuU/+K3WxeILRwTsV/ad/vKSVfBF6IZWbVLKqkZWaSdiGkT48iLG4GSTra9k0pdUHj4IikXIIjq7plN8b7JeWS8n0OsIXtlwDijuZ1hO5hOZMy/bz22lsRgknjM/K4ybYMdDpItjNne79ovr4lIbP2d5Lusf2jVJpqSNoBuM/27fF4YUnb286mbLUwfbQVfKhRC0KkCChFfkcwTd4UOIWwGTKU5o2kQks2Au4Dtm1wX2rTaUX/tf2B39s+U9IzCfXUczhwWRctf/sktYDC7E0JKhUKrdkBOK9+YV+50KWkXb+nxJycWkAbHEcwV/wXgKTFgJFA8qASeQdHcu7QOHftPQOw/ee4uM6dlKnB4ySNAHoDx0pakObuNam5Jf6rMSqRji5H7OJ3J80G59sDyYNKwEm2mz7T6CdzEhl5oRWmm1rw4UuEbn73xeNNCN5jqTtfrWN7DYXOh9h+J2YAFxpg+6R4u19qLQ2QpPWAPYHafDuX5gMQqhYukTQXzbYYWXTFlXSK7RMrx92Bq2pZXrbXTSauMEdQgkqFQoV4El6mrUwR2/d2sqT619+r4vd0hUJL8Cz8nnLwKGqDbnXlbm+TzyQl5+DImjR3aARYGnhJsYNjYg+BJyRdSnNp3p7kE/DKlf2B1YCJMUD+BYJnXHI6Kt+VNNR2LgbU9STL9pK0JWGjYWNCIO5SgjFwDjQ6x5Y5ZxekFnyIQem+tRL3aDp9RUJpNT6Nc7eaKfxi5BMwzxZJrwKPEvwSH3Ae7eZ/ChwL3BKzaZcjeIhmge1LgUslrUi4fj6r0B33EtupdS4l6Vjbp8cugzcCTyXWVJiDKJ5KhUIdku4Fdsxl96EROfk9SXrQ9gaSJtMyE6NmYNirszVVkXQW0I+QAQRhEfac7WPSqQpIupww+a0GR7rb/mE6VYG2vANqpPQQiBOmQwkm4hAmxb/P0bC4SmL/HRG+X13OdyTl+9YRkla1/Xyi176O4KV0Z27f/Xhue5dQmgTh97qo7R8kE1X4n5A0wfbKleNuwPjqWAok7Um4rq9BKCffCTje9pCUunInXkfXIXgYfZPQ6fVZ2zskFQZIms92rp2OuxM6We9H8HO8kTAX+cD2bgl1CbgWeI6QRXiH7d+m0lOY8yhBpUKhDkl/InRGuoeWLeiT+3pI2o5wIav5PV1Z9XuyvWxKfe2RuPPVjlQCENWyjJTkHByRtJntkXVj+6Y2ha9P6c4BSYu2d79jBzhJi7rSDa4zkXQh0XfE9sqSFgFG2M7edySxwfmOwBmE0h+RSbA8d2IXpxOAzeLQPcBptj9o+1mFnJF0AbA8LTdoXrF9WDpVAUkrAd8m/D7vtT0hsaTsiSVcaxM8ljYAvkAIKh2UUNN6wGXAAraXltQfOMj2Iak0VZF0HiGgdB/BW2ls5b6XnKBjqaTqtXFu4GKCyfllALaf7GxNhTmTElQqFOpQ3h3WriRcyFqV50n6duryvPZItTCUdIbtn3U0liMpy34kjQHGA0cBCxBKaz62vVMKPVUkPUgIjmRhPCnpNUKWXqNSKNterpMltaL2+6tm/Sh2hEutrSMSB5VeAbbNaZHaICu0BSXgVfi8iAbsG8bDMSk3aKY3mF9ojKQPCVkt5wIjbb+dWBKSHiNkmg2rXKeet71qWmUBSfsBNzYKjktaKEWFg0L31Lawu0AX1cLsQalvLxTqyCF41Ba2Gwa84n3ZBpQiqbxHNgfqA0hbNhjLkZTBiI2A/wOejscn2r6uncd3JhOBhyQNo2U24bkpxNjuneJ1Z5Cu7DuSskvdP3MKKAHYXhBA0qnA34GrCe/RnsASCaU1EZsOHAUsS2WuWRY4XZ4ngcm2R0qaT9KCCf0cx9EczF8aeCf+vTDwF0JTgkLb7E7IUDoE+JGkhwmBwtTeoX9Vy8akU1Npqcf2YEmLSFoF6FEZH5PKMsP2Jilet1CopwSVCoU6JC0PnA70peVFI4dsg3WBQcDKwDxAd0Idd1fYme7UtEhJBxMmS30kPVu5a0FCx5quQMpU0kWAbwCvAksCy0iS80hvfTX+60b4PJMiaSXbL9aloTeRSfr5QEKHtS9J+hXRdyStpNbEsrylbFd/sykDwE9IuoHQtaypLNWxjXpitqvLNLtQof32iW09oRMZAlxEyHDMZlFYmHkkHQAcCCwK9AG+SviMv51CTy2YL+kSgrHzHfF4S0IXxEI72P4T8KdYOrglwaPzGEIXyVT8VdL6gGPTkgEE39AskPQjgqYlCRtu6wKPAMmD5ZJ+DZxp+914vAjwf7azu84XZk9K+VuhUEcsrTkJOI/QSnc/Qgex5BN1SU8AuxEm7GsB+wAr2D42qbDpoLNLWCQtRAiMnA78vHLX5K6SFp+47OfPwG9sXy6pJ8FXZi3b66fQEzVdbXtvSQNsn59KRz2S/mD7wDbS0LNJP8/Vd0TSKGA7wkbXOOBfwEO2j0ypC0DS4AbDzsRM/2GCEfb1hAD07sChKX+jNSSNs71mah2FWYekpwkbDY9VSpOes/31xLpaachBV+5IGgr0J2zQjAEeJHy2UxJq+iJwPsGLTcAIYEAOpXkQvlcEH6pHba8Wr6m/tr1jYmkNG1qknEMW5jxKplKh0Jqetu+NWRlvACdLGkceu7/YfkUrAPLtAAAgAElEQVRSd9tTgcGSniK0YM2dTi1hianIkySdD/y3lqIvqZekdWw/1pl6ZpKUZT+bARtJOtGhW9jZhFKWlKwp6SvADyVdRd37kypYaPvAeJt7Gvo/CWbwcwE9Ja2RSRbVQrbfi7vAV9k+qS67MBmO7dQzZQ/CAux8QlDpoTiWA8MlHULIjqtmeHWJgH6hIR/b/qRWmhSNnnPYmf6bpONp2UX1bwn1dBVOB56Kc8lWSNrc9j2dKcj2fwifX65MsT1FEpLmjRnKnW7O3Qbdo6aPAeJm4LyJNRXmIEpQqVBozccKrXJflvQT4C2CUXEOfChpHuBpSWcS/DS6pRQ0A2aZSVLkgQsJrYZrvN9gLAmS1rQ9rm5sG9u3xcOUZT/HEruFAacAk4FzCLt0qbgIuJfgNTWOlkElk9aDCggt5mldOntVOkWB6L/zA8KudG0haDJI2wfmkrQEsAtwXGoxVSQtSSg5/mYceoCwc/5mOlUB268D30utow1q/n9HV8ay+I0WZprRkn5BCEhvTigvH55YE4QMvZMIAUwTsm52T6qoC2D7iQ4ecgaha2OnIak3cBitvdi260wd7fCmpIUJ5dD3SHoHeCOxphrXAvdWsmv3A7L1iC3MfpTyt0KhDklrE2q4FwZOBRYi1Ck/mlQYIGkZQrbBPMARBG2/t/1KQk3VzletzDJTmxhLetr2anVjz9rul0pTRceTwD62n4/HuwM/tb1OWmV5dwuTdKHtg9u5fxHb73Smpvi6JwEbE4JKdxB8Kh7MpGPeS8DXc+mYV0XSzoT28w/aPkTScsBZqTofVpF0D/BHghk2wF7AnrY3T6cqIKkHsD9QbxqbvDSvMPsRN9v2B7YgXOPvtn1JWlUdI2mQ7cNS6+hqNCqn6oTXfAa4jNCVrqmRhO3RnaljepC0EWEOflcu11VJ3yVkmQPcY/vulHoKcxYlU6lQqMP24/HP9wmR/myw/UbMVFoWuBl4KfXFrAuYZU6UdDghOwnC7urEhHqq7ATcJGkP4FsEj6wt0kpqIttuYe0FlCL3kiYTbSeCR8VTtveTtDjNJRmpeZ4Q6P1XaiH12B5C8ImrHU8EkgeUIovZrvoqXSHpp8nUtORq4EXgO4Rswj1JbGoraVPb90lq6DGSicF5YeY4LHrZNQWScvO3a4NvdvyQQgNSZB1MsT0wwetON7EhxwbEkuPUc/A6ngLmJmh7KrGWwhxGCSoVChFJw2nnIppD+q2krQklQK8Sdgp7SzrI9p1plQGwru0Dage274wleqn5MaHz1fGEz/deQgeb5NieKGk3Qir1X4AtbH+UWFaNLtEtrA1SeVF9ZHuapM8k9SIEcJZKpKWe04GnJD1PS4+bZOc1ScfYPlPSIBqce20fnkBWPW9L2gu4Lh7vDmRhGgt8zfbOkr5n+0pJfySU56VkI+A+QpOLekzYDCl0TfYl+HdV+UGDsUJhZjk/ZvyOoOV1KgfvPySdCOxM83lssKQhtk9LKAsASbsAZwGjCHOgQZKOtn1TUmGFOYYSVCoUmjk7tYDp4Bxgk1q5m6Q+wO1ADkGlLM0ybf+L0DEvG2IHkeoielGgO/CYJHIozbN9bTSor3UL2z6XbmHTQaq67iei38IlBM+n9wnthnPgSoJHRouygsTUvk8deXuk5IcET6Xz4vFD5JPB+mm8fTd6ef0D+FJCPdg+Kd62+x5J2td28fvoAsSy7D0Im1jDKnctCBTj9S5K1dS5jbHXO18VXwf2Jnj91a5TuXj/QZjX9q91yJP0G+BpIHlQieBHuHac89ayy0cCJahU6BSKp1Kh0IWQ9LjttSvHAsZWx1IRDbtPAjak2SzzlNTdfiStQCh9W9z2qpL6Adul3FmK3lhtErsOFmaSHNroSloW6GU7iy5m9eeOQtcndssbSliIXUFoKHGC7YtT6poecviNFqaPeL3qTch2/HnlrsnAs7Y/SyJsOknhDdQVaPQbTP27lPQK0DezkrImJN0P7GD73Xi8MHCz7eRBL0nP2f565bgb8Ex1rFD4PCmZSoVCHZKWJ0ye6js45dC15glJdwA3EgI3OwOP1/wrUvpVxODRAEnz2/4glY4GXELoQHQxgO1nY5lIsqBSLWgkaV1gvO3J8bgXsDL5dBPpqqQqfyMGLZclXl8lfS0TH5kHJJ0ODCOzsoIY+D2K1h1/cpion0k4V3wE3AX0A46wndwry/al8c8xNOiqlnk2ULLfaGHGiNerNyTtCfytkqXRE1iSNBktTUjqbfu1urG1K/6YpTyvgqQvA18ldPFbnebfYi9gvmTCAtl6/0UmAeNjAwcDmwNjJQ2E5CXbd0m6m+ZS7V3Jo4qhMIdQMpUKhTokPUjIuDmP4AuxH9DN9olJhQGVVqGNcMquP5LWBy4FFrC9tKT+wEG2D0mlKep63PbadV3MWnWES6TtKWANxxNx3Fl6ouzgNyZmw7VJLStO0qIpMuQkXU4IOoynkrqfQzeuuMNajzMJ3DxD8IobB0ytjdsel0xUpHaukLQDsA1wJDAmhy6IHZE666A9ctZWaIykJ4D1a1kksWnIQ6kzIBW6qG5r+614vBFwQcnQaIykfQleWGvRsvR4MnBFyk0QSaMI19DHycT7r0p879okdRA/bjBvEA8fsH1LSj2FOYuSqVQotKan7XslKe7QnRy9ZZIHlabDp+JY26d3lp46ziN0IRoGYPsZSRsm0lLlP9F7qha42Qn4e1pJTagWUAKIJs/lvNw24wifY6MsBxOzNRKWXK5ru2+i124X25u0d3/irJbPbF/Y8cOSMHe83RoYYntSqDruEuQsNGdthcbMVS1Lsv1JDCyl5iDgVknbErp+ng5slVZSvsTz/JWSvm97aGo9dZyUWkB7dHSNlDTUdpLOpZLOsP0zKs0QKmOFwudOWbwUCq35OGaMvCzpJ8BbBK+KrsDOhAlVEmz/tW7BNbWtx3YihwJ/AFaS9BbwGsFsMQcmSjqc4PkEcAgwMaGerLHdO7WGDnhEUl/bL6QWMhMMIJh5dxqVzLPhkg4hdBus7k7nYAI8TNKLhPK3g6P56ZTEmqaXnFPRH0otoDDD/FvSdraHAUj6HvCfxJqw/Xi8jo4g/DY3s/3vxLK6AqNi2dYGhHPFgwQfzGTdLW2Pbu9+SY/YXq+z9MwEKW0yNgfqA0hbNhgrFD4XSlCpUGjNAEJd+eHAqYSuE+2mvGZEyt3fv8YSOEuam/A+Ju0WFoODa9neTNL8hDLGySk11fFjYCBwfDweCRyYTk7eSFrJ9ouSGpbNZOAPdBUhsPQPQnBEhBKz5N38poMU5476zLOjK/c1ZZ6lIp4/hhPaNE+yPVXSh8D3UuqaAVJ6iy0M7ENrn6zD4+1P0igr/A/8GLhW0gWE79ZfCZ9xEiQNp2XgdD6C581lsYtqFiVTGXM9wY+tllmzJ3ADsFkyRR3To+OHJKXTA/mSDiZsSC4nqdoYZEFK8L7QiRRPpUKhHeKiYgHb76XWMj2k9KmQ9EWCIeZmhAnnCGBAyl2vqOsJ22ul1FCYNUj6g+0Dc/UHip1rjgSeo9lTqUt080t87uhRM/9tbywFXblzlKQLUgVvJD0MPErr30KuxuGF6UTSAgC230+sY6P27u8o62VOR9LztletG2vRQSw3cvdiS6FP0kLAIjTozphJtm9hDqFkKhUKdcTOYD8mlG49DvSSdL7ts9Iqmy6S7ExL6g7sbTuXsrIqIyUdRdiBa+pKl8PFVtKSwCDgm3HoAUIg7s10qvLF9oHxtl1/oIT8u1Ya0gVJmeX4MMELpaOxFNwr6fuEttFZ7cJJmpeQZbAsLbOBTom3KbOBetg+MuHrF2YRkvayfY2kI+vGAbB9bgpdtaCRpN7A3+u60i2eQlMXY4Sk3QjdhAF2Au5OqGd2oNOvo7YnAZMkHQ/8w/bHkjYG+km6yva7na2pMGdSgkqFQmv62n4vts+9kxD5H0cogcidISleNJaF7EEw686NXePtoZWx5KU1kcHAHwleWAB7xbHNkynqIkhaFehLJR3e9lXpFAHwVAxKD6elN1CybjozQKenyWfe2rrGQYTss6mSPqK5pLFXWlkA/IlQ7jOOyvctE66WdABwG/n5ZBVmjPnj7YJJVbTNEGD9yvHUOJa0K10X4ADgp8DVhPNaN+ADSQeRzzmuntwN/lP6Fw0F1pL0NYKP6J8I88tiWl/oFEpQqVBozdzRE2h7QlvaTyUl3aGWNIh2arUrPhW/7jRRrXkwei3UZwQl9bnJ3Nx5MduDK8dXSPppMjVdBEknARsTgkp3EMwoHyR4GqWkJ2EBvUVlzFS6saQiU4+b7xBaWy8JnEPzguE94BcJ9LTCdq4LaYAlbX83tYg2+ISwEXMczdeuXIL5hRnA9sUxG/k92zluHOXalS5rcj23SVqc5oDgWNv/qty9dwJJSHqOxnPwFr6Jtkd0qrCWTLP9maQdgUG2B0l6KqGewhxGCSoVCq25GHgdeAYYI2kZwiInJU8kfv3pYbV4e0plzASj805H0qa274sX2FZkkj3ytqS9gOvi8e5AUg+qLsJOQH/gKdv7xUnoNYk1YXu/9u6XdKztVN0Z76CBx01Kpre1taR9U3nxKNT47An0tn2qpKWAJWyPTaGnjoclfd32c6mFNOD/gK/ZTt4drPC/E7ORdyfPbOQsu9LlSs4NLyTtQghGjyIEbAZJOtr2TVHb84mkbZPodWeET+NvdB9g2zg2d0I9hTmMYtRdKHRAXFR0t/1Zai25Eg3Nd7J9Y4cP7iQknWz7ZEmDae4w1XRr+4dJBQIxYDkIWI+g7WHgMNt/TSoscySNtf0NSeOATYDJwATbKyWW1i6JzbCzNjhtj8Tv24WEINymtleWtAgwwnby0hpJLwBfA14js26DkkYA29v+MLWWwqxB0nmERWpW2ciS+gDXEkppIXSl29v2q+lU5UvODS8kPQNsXstOkrQYMNJ2/1SaugqS+hL8YB+xfV30GtvF9hmJpRXmEEqmUqHQDpJus70NkEVAKV5gf0ZrL5mkXa9sT5N0DM2GjzkwORqLPk/LtuU5RdKXrG97LOmbhElxoW2eiOVclxD8ZN4HHkkrabpI6QfRlT1uUr5v69heo1ZGYPudjEprtkwtoB0+AJ6OC9fq9+3wdJIK/yNZZSM3CQjBo3Vz6UqXO5k3vOhWV+72NsHrKQskrUvYCFwZmAfoDnyQg/+U7ReAwyvHrwFNASVJQ21/P4W2wpxBCSoVCu3z1Y4f0qlcS9gl3JqwI7Ev8O+kiprJrcvaAvF2RUJ9/p8Ii9NtgRxKVyBMTuozMBqNFSrYPiT+eZGku4Betp9NqWk6SRnQ7MoeNynft0+jn4yhKbCfS/ngGwCSvkRlkyETbo3/CrMP+9ueWB2QlPz8EVuqnwRsGI9HA6fErliFNpA0H6EJwdIxc2l5YEXbtyWUdaeku2m2BNiVULqdCxcAuxGM4NcilJqtkFTR9JP8t1qYvSlBpUKhfXIzufuC7cskDYjtdEdLejy1qEhWXdZs/xJA0hhgDduT4/HJwO0pNNWQtB6hW81idW2aexF2vgodIKkfFdNpSV/LxCerPVJm3HRlj5uU79tA4BZgcUm/Ivh5HZ9QTxOStiMYnH8F+BewDDABWCWxru7AFrb3TKmjMMu5idYbHkOANRNoqXI5ISN5l3i8N6GLakM/xUITgwmZvrXOeW8RPs+UQSUTfE03iMd/ANZNJ6c1tl+R1N32VGBwzGI9NrWu6SCnLP3CbEgJKhUKDYjlDSsA50qa2/anqTVFajr+Lmlr4G/Aogn1NJFxl7XFCVkaNT6JYymZh5BJNRct2zS/R1i0FtpB0uVAP2A8zVkjWXRZ64AhCV/7FaCr+ts8lOqFbV8bvbu+HYe2tz0hlZ46TiUsuEbaXl3SJsBeiTXVTJ2XkTRPtStXoWsiaSVCoHKhusYXvcgjQ65PXVnPLyU9nUxN16GP7V2juTO2P4weoinZ3PbPqFzLJf2SYPuQAx/G9cHTks4E/k5G5XmFQkpKUKlQqEPSxsCVhA5wApaK3YfGpNQVOS2mev8foUyqF3BEWkmBTFOpIbSZHyvplni8PXBFOjlQyTK7olLC0g1YwHbqToNdgXVt900top5YGnUAlQwqgJopvO1fp1EGZOxxE89pJwPfikMtylds/ySRtBrzETIIDfRMrKXKp7bfltRNUjfb90v6bWpRkYnAQ5KG0bIc+tx0kgozyYqE7lcL09xVCkKDhAOSKGrJR5I2sP0gNPkSfpRYU1fgE0k9aS7t7UPl2tCZSDoYOARYTlK1lH1BEm4qNGBvQhDpJ4S591J0nYy41AHDwmxO6f5WKNQRd6X3sP1SPF4BuM520hTvWFJwuO0cW/oi6QZCKvU+tleNQaaHba/WwVM/d2Lr3NqCdYztLMoaJf2R4I01FXicECQ83/ZZSYVljqTLgHOiMWU2SHoYeIDwO5haG7c9NJmoiKR9G43bvrKztdQjaSihfKWmZW+gv+3kk3VJJwI7A0P5//buPMqyqj77+PfpDvNMNCgREFAaB2YQBIwKghMSFBW1ZXJAQYUAkhcVJSoJDigKvDJoRCYVUFmAhFmZJcjUEF4gEhR8RUMcGAShsXnyxz6369bt21X0YO1zqp7PWr2qzr51Vz+rhnvP2Wfv36+clO8CnG37iKrBAEmXNXk+B/w1ZQvcFra3HvOJE0DS4cPGe9uSo3skvdx26xoiSNqIcvNopWboD8CeHamzV42kHShbeV8MXAJsA+xl+4oKWVYCVgGOBA7te+jRNjWTaEpPfHW8sTaStKPtS2rniMkrk0oRAyTdNtiSedhYDb1W6rVzDCPpRtubS7rF9ibN2Ky0gp0/Sbfa3ljSTEqtikOBm9rwu9Zmkl4JnAf8hha1Uu/9PGtmGEvftl6Au9uyrXfY960t30tJd1MmuJ5ojpcBbrU9o24ykLQc8ATl938m5aL6DNu/qxqsj6RlbXd122X0abb7HEFZBXQRZQvygbZPr5xrbds/l7QigO1HemM1c3WBpL+mbKEVcH1Ha+5NGEk32950YGzuOW+lTLczvF5SK86LYurI9reIed0o6RtA70RpJnBjxTz9rpV0HPN2WLu5XqS5WrOUukOWkLQEZbXBcbafkpSZ/vH9K2U1y+20pBNX44eS3mC7Td1qgNZv623z9pUHKHVjnmiOl6IUtK3O9mOSVqN0t/wdcGFbJpSaZgT/Sqkdt2azmuQDfZ0bo3t2tP2Pkt5MeR15C3AVI+dKtXyf0oyjf+v496hfQLzVmp/jj2xf0ByvLGkX2+naOKCpO/UuYO1mS2/PikDtlVQ7Vf7/I4BMKkUMsy+lg1mv1sjVwP+tF2eU3p37z/SNGdiuQpZBh1PuXq4h6QyapdRVE7XfiZST81nAVZLWohTrjrH9j+3zxv+yCXcA8HFJsxkpqm/bK1bM1PMlykXhqG29tOPC64PAqc0WCGi2r1TM0+9h4A5Jl1Jea3eg1Gg7BurWpJL0duCLwBWUicJjJR1i+3u1MvX5CvBayopCbM+S9Hd1I8UiWqL5+EbKFtCHa9Z17kAB8bY73Hav1iS2H2q2rWZSaV7XUYpyP4vyXtrzKFB1m2WvLmdEbZlUipjXB5tionMLiko6AKi6Z7op5Hy87bNq5hgkaRvb11LuWL6FkaXUB2Qp9dhsH0NpWQ6ApPuBV/cd79mGmjctdEtTj+p8Rhedrtr9zfYK439VNUv0JpQAbP9ns0quDR6xvdHg9pXaoRrnNP96rqiUY5hPUGooPQhzC8VfRlmlUZ3tXw5MOsyZ39dGJ5wv6S7KKsJ9m9+3J8Z5zl9S2wuIt92wrmW5Lhyimbi5D3h53+pQgDtt/7leshGStqI08HkRpcPwdOCxltzUiikgNZUiBrRxz3Rfjhttb147Rz9JN9nebNj3LRZNvqfDSTp5yLB7XdZqkrQz0FuRcUULuh8CIOmblK2C/dt6p7fkezbsNfem2s0RnglJ3x9oZz6R//fttjfoO54GzOofq0XS9yg3Zo4DtqSs4tvc9juqBotFImlV4GHbc5qaXivY/k3lTK0sIN52zXvCQ4ysxP8QsKrtvaqFajlJbwOOYmR16CuAVqwOlXQj8A7gbGBzYA9gPdsfqxospozMSEc0xtgzvQL190z3XCbpo8xbU6lmvqcknQQ8r7clpF8bWpZ3WFrADmF777Eel/Qx20dOVJ6+//dzlDuYZzRDBzQr+dpwUjdsW+/X6sWZNNtX1qn4f18k6WLKNkaA3YC21PP6IGV1799SalBdQmkZHh3VdHTdD1gT2AdYnbJaqPbE+Zsl3UHLCoh3wEeAT1LOJw1cSnmPiPk7jHavDr1H0nTbc4CTJd0CtOH8I6aATCpFjGjtnuk+uzUf+9/4Td0Lm52A11DqZ9xUMcdklKWkC+dtlNbEE+0NwMa2nwaQdApQ/aRO0nTgm7Zn0rettwUmw/aVan+jtg+RtCulfh3ASf01Uiqb0fy+zdUUYL+2Up5YdCdT3uO3bo5/RVkVUXtSqa0FxFvN9mPAoZKWaz6P8U3rTSg1fsfwbYQ1PN50eL216dT4a9qTLaaATCpFNPr3TPfGJO1k+8p6qUaz3ZY6I3M1dZO+K+lO27Nq55lkslJp4dT8vq3MyMrGlcb6wonSbFVZS9KStmfXztNj+1zg3PG2r9RaedYFtr9P6X7VNscCg1t3h41Fd6xre7dmVTe2H1fNSt0jWlVAvCskbQ18g3RoXBAXtnh16O6USaQPAwcCa1AmWCMmRCaVIsb2GerfhZurWX5+ELCm7X0kvZByR7gNGf8k6XJgNdsvlbQhsLPtI2oH67Dc1V84tVaPHEkpIv5jysTW3wGHVsoy6F7g2mZrb//W2eorl55BPZRaK8+eiQm/epX0KMN/x0XlboOSXk5ZyfJsSQf1PbQipXBsdNdsScvQ/O5JWpe+RgkVta2AeFccTTo0LihTuvZu2xyfRGlO0wa72P4q5Xf/09COJkMxdaRQd8QY2lKgu0fSmZTl53s0EzfLAtfZ3rhyNCRdCRwCnNj7nkn6D9svrZusfQYutubRhgv9Lqv5dyvpuYx0hrmhBUVsT7O9u6SHKBcRo9j+dIVYC6Qtr8OSVgHWsH1b39iOti+pGKtVJL0SeBWlptIJfQ89Cpxv+2c1csWiaVYk7Q68F3gxpUbWNsBetq+oGA0Yu4C4pB1sX1o3YftI+nfbW/a/vkqaZXuj2tnaaj5NJW6zvWGtTH05WttkKKaGrFSKGNsHagcY0Nbl5wDL2r5hIE4rWq22UK/1/AzKBESvMPybgBuqJJpczp7I/0zS+rbvktQ7ofv/zcfVJa1u++aJzDNgM0mrA/dTth91UbW7X5KuAHamnC/dBDwo6VrbBwFkQmm0Zrv4lZK+1WwpH0rSsbY/MoHRYhHYtqRDKBOGW1FWxR3QbH+vrr9ZSVMfqL9G0OcpRahjtF82W+AsaQlKh8Y7K2dqJUn7UorUryOpv8bqClReUT5Gk6EVaU+ToZgCMqkUMaBpGXqR7UeB10o6FDii8oVhT1uXnwP8tsnTy/ZWSqHAGNBbHSLpKmDT5ncNSf8EXFAxWic02xveDzyfvvcx2+9pPv7LBEc6iNIN6UtDHjOw3cTGGeUE4HJgbeDGvnFRv8j/M1Vz4nwl249Ieh9wqu3DBy4qYoixJpQa24zzeLTPzcA6trv2HtWWG29tM6xDY7q/Dfdt4ELKNuz+Le2PVu6+DN1oMhRTQCaVIub1SdtnS9qWcjF4FHA8sGXdWAAcTmmZu4akM2iWn1dNNOJDlP3l60v6FfBzYObYT5nyVgP6CyfPbsZibOcCV1Na+c6pnAXb+zSfvt72qFoekpauEGku28cAx0g63va+NbMsggldeTbgr5otjW8HPlExR0RtWwIzJd1HWQnUq+FVfevPOFLnY0DTEXT3wQ6NMZzth4GHgXfWzjKov8mQpNUY2X5/p+3sFogJk5pKEQN6e5AlHQncbvvbtfclS9rG9rWSlqJ06ugtP7++9vLzIfWBlqF0oHgMUh9oLJI+QblY7bUB3wU4q8JKm06RdGsb6ogNmk9Ng3nGopD0j7a/IOlYhlz42d6/QqxRmpWrnwSusb2fpHWAL9retXK0TsvfRfdIWmvY+DNYlVZVfteGk/RT21uM/5XRBc171VHAFZTrg1cAh9j+Xs1cMXVkpVLEvH4l6URgB+DzzUTOtMqZjgE2A37SnBy1afn5YH2gcylvaLuT+kBjsv3Pki6kvPkD7G37lpqZOuKHkt5guxWtfCU9h7KFYBlJmzCy3WJFYNlqwdqvV7/jxjG/qiLbZ9O3Usr2vUAmlBZdtiR1TNsnj8bwi9oBWuoaSccBZzK6I2gbSj3EgjsM2ML2gzC3TMBlQCaVYkJkpVLEgKaj2usoq5R+1mx92KBmQVZJ11P2Ru8CfHfw8Zbc0b8KeGNffaAVgAtsp0XtGJptli+0fXJzErC87Z/XztVmTUv15SjbBZ9qhqu1Upe0J2Ub6ubATxm5YH4EOMX2D2rk6hpJywPY/mMLsrR+FVWXSdrL9rdq54jukvSWsR7P6+7YJP14yLBt16wBGAtJ0u22N+g7ngbM6h+L+EvKSqWIeT2L5s65pDWbsbvqxQFgJ+A1wGspHYjaKPWBFpCkwykTETOAk4ElgNNJEdsx2V5h/K+aOLZPAU6RtKvt79fO0zWSXgqcBqxaDvU/wB6276gYq/WrqNpM0vnMOxn3MOX7eWImlGIxeFPz8W+ArYEfNcevphQvzqTSGGy/eqzHJe3ZvLdFN1wo6WLgO83xbkArVnPH1JBJpYh5XUA5GRawNKVr0t3AS2oFauomfVfSnbZn1coxjlOBGyT11wf6Vr04nfBmYBNKVx1sP9Cs8IpxSNoZ6K2Cu8L2D2vmaWwm6XLbDwFIWgU42PZhlXO13UnAQbZ/DCDpVcDXKReKVdg+v/mYizit2HQAABBISURBVKqFcy/wbEZf4DwKrEf52e5eKVdMErb3BpB0CfBi279ujp9Lzj0WhwOAvP51h4ETgW2b45Mo9VcjJkS2v0WMQ9KmwH6239eCLOtROtGtZvulkjYEdrZ9ROVowNzvVa8+0FWpDzQ2STfYflmvkKik5Sh1s9reTacqSZ+j1O86oxl6J3Cj7Y/VSzVS5H9gLEVixyFplu2NxhuroXnN/SjwfPpuxGWLyNiGFQHujUm6w3a1mzQxuTQ3217UdzwNuKN/LBZc7QY1sWDm0yjktpxPxkTJSqWIcdi+WdKWtXM0vg4cQrkbge3bJH0baMWkUlPgMUUen7mzmqLwK0t6P/Aeys84xvYGYGPbTwNIOgW4Bag6qQRMl7SU7ScBJC0DLFU5UxfcK+mTlC1wAO+mrHRpg7OBE4BvAHMqZ+mS5SWtaft+mLuVfPnmsdnzf1rEArt8yLafyyrmmSyy6qADJO0L7AesI+m2vodWAK6tkyqmokwqRQyQdFDf4TRgU+CBSnEGLWv7BmlU45w/1woTi8b2UZJ2oBR0ngF8yvallWN1xcrA75vPV6oZpM8ZlAuck5vjvcn2gWfiPcCnGamBcnUz1gZ/tn187RAddDClu9R/UbaSrw3s16zGzN9ELDa2PyzpzYxshz7J9jljPSeekXRo7IZvAxcCRwKH9o0/avv3w58SsfhlUiliXv01bf5MqbHUluK7v5W0Ls0dJElvBX5dN1IsrOYC60e2L5U0A5ghaQnbT4333CnuSOCWpnuNKBcTh479lL88259v7hRu3wx91vbFNTN1ge0/APtLWgl4utdBsiZJqzafni9pP+Ac4Mne4zlZH5vtf5P0QmD9Zuhu2080n3+lUqyYvG6mXERfJmlZSSu04XWk47LKpQNsP0xpgvDO2lliaktNpYgOkbQOpfje1sAfgJ8DM23fVzVYLBRJN1FqUK0CXEPpjDTb9syqwTqgKcbaq9lyg+3f1MwTC0/SFsA3GZnQfxh4j+1qnS4l/ZyRhg2DbHudCY7UOZK2Zt5aVKdWCxSTUrN1fB9gVdvrNpOZJ9jefpynTkkDq/HnYfvLE5UlIiaPTCpFDGhjYdYhJwHLULbmPQY5CeiqvgLdHwGWsf0FSbfa3rh2tjaStL7tu5qC8PNoanpVI2kr4FjgRcCSwHTgMdsr1szVds3qrg/Zvro53hb4WhsKjEpaum+FzXzHYjRJpwHrArcyUovKtvevlyomI0m3Ai8D/r1XWFrS7bY3qJusnSQd3nw6g3Jj5rzm+E2UGzTvrhIsIjot298i5tXGwqy9O/i9k4BzKXfQdwduqBUqFpkkvRyYCby3GZteMU/bHUS5I/2lIY8ZqN2R6zjgHZTXkM2BPSgt1GNsc3oTSgC2r5HUllpx11Hq6o03FqNtTmnznjuX8Zf2pO3ZvVqTkv6KFJmeL9ufBpB0FbBpb5ugpH+ilHuIiFhgmVSKmFfrCrPmJGDS+gdKx7JzbN/RbG/8ceVMrWV7n+bT1w9bPVIh0jxs3yNpuu05wMmS2tCVru2ubLogfodyMbgbcEVvRVqNFWiSngP8LbCMpE0Y2Qa3IrDsROfpoP8AnkNq/sVf3pWSPk75W92B0gnr/MqZumA1RndinN2MRUQssGx/ixjQTNQ8SAsLs0q6G9iwr2X5UsBttmfUTRYxcXrbBscbm2jNpO9rKKscf0O5oN7L9kY1c7VdU3B9flxj67GkPYG9KCtufsrIpNIjwCm2fzCfpwZzf6YbU1bS9r+P7lwtVExKkqZRVvruSPk7vdj21+umaj9JnwDeTjnXBdgFOMv2v9RLFRFdlUmliAFNgdZBrSjMOp+TgDNtH1kvVSwoSV+x/Q+SzmfIMv1ceA3Xt3rkdOBdjF49coLt9ef33IkgaS3gvyn1lA4EVqLUBrqnZq6uk7Sn7Spt6CXtanu+3T9rZmszSa8cNm77yonOEpObpANsf3W8sZhXsxr0Fc3hVbZvqZknIrork0oRHZOTgO6TtJntm3LhtWDavHpE0nTg1HTuW/zasAptftqcrTZJqzG6Q+ODNfPE5DSflau39Ip2x/w1TRFeaPtkSc8Glrc97MZqRMSYMqkUMUDSEsC+wN81Q1cAJ9p+qlqomJQkLQf8yfbTzfF0YCnbj9dN1m7jrR6pRdI1wHa2Z4/7xfGMtfkCsc3ZapL0duCLlPdPUW6EHGL7ezVzxeQh6Z2UFavbAlf3PbQC8LTt7asE64imC9zmwAzb60laHTjb9jaVo0VEB6VQd8S8jgeWAL7WHO/ejL2vWqKYrC6n1OD5Y3O8DHAJsHW1RN2wmaTLbT8EIGkV4GDbh1XOdS9wraTzgMd6g7a/XC/SpNDmu19tzlbTJ4AtequTmlUQlwGZVIrF5TpK3bpnMboj6KPAbVUSdcubgU2AmwFsPyBphbGfEhExXCaVIua1xUBh3R9JmlUtTUxmS9vuTShh+4+S0llqfK+3/fHege0/SHoDUGVSSdJptncHdgaOBqZR7pbH4qHxv6SaNmeradrAdrffUf4uIhYL2/cB90maCTzQ6wgqaRngecAvKsbrgtm2Lckwd+V0RMRCyaRSxLzmSFrX9n8BNG3e51TOFJPTY5I27bVMl7QZ8KfKmbpguqSl+rogLgMsVTHPZs3WgfuBYyvmmKyurR1gDG3OVtNFki4GvtMc7wb8W8U8MXmdxejVvXOAsxmp5xXDnSXpRGBlSe8H3gOka15ELJTUVIoYIGl74GTKVhaA5wN72x6r7XXEApO0OXAm8ABlxcNzgN1s31Q1WMtJ+j/Amyh/pwB7A+fZ/kKlPPtT6rCtTflZzn2IlnSObDNJKwN7UF5r597ssr1/rUw9bc7WdpJ2BXr1Wa62fc5YXx+xMCTdanvjgbFZAyvOYwhJOwA7Ut6rLrZ9aeVIEdFRmVSKGCBpaeBgYHvgIUqXqaN7S6sjFgdJ04CtKL9fM5rhu1MQ/pmR9HrK3yjApbYvrpkHQNLxtvetnaNrJF0HXA/cDjzdG7d9SrVQjTZniwiQdClwrO3zmuO/B/ZPoe75a5qCXGb71bWzRMTkkEmliAGSzqK0KD+jGXoXsLLtt9VLFZNROkdFDG8J3hZtztZGkh5lePHy3qq9FSc4UkxyktalnK+tTvk9+yWwh+17qgZrOUmXA2+x/XDtLBHRfZlUihgg6f/ZfvF4YxGLStJRwE+AHzgvxs+YpK0otYteBCwJTAceywVrN0k6kNIB8YfAk71x27+vFqrR5mwRMULS8lAaXtTO0gWSzqV0f7uU0d1Ks7U3IhZYCnVHzOtmSVvZvh5A0pbAjZUzxeT0AeAgSnH4P5G7+c/UccA7KMVYN6fUvFmvaqJYFLOBL1La0PcmVw20oRZVm7NFTFmS3m37dEkHDYwDYPvLVYJ1xw+afxERiyyTShENSbdTLhaWAK6TdH9zvBZwV81sMTnZTtv5hWT7HknTbc8BTpZ0C/Cx2rlioRwMvMD2b2sHGaLN2SKmsuWaj3kfXQipCxcRi1MmlSJG7FQ7QEwtKrdUZwJr2/6spDWA59q+oXK0tntc0pLArZK+APwamFY5Uyy8e4DHa4eYjzZni5iybJ/YFJx+xPbRtfN0jaQXAkcCLwaW7o2nW2lELIzUVIqIqETS8ZSOUtvZfpGkVYBLbG9ROVqrSVoL+G9KPaUDgZWAr6UwazdJOgd4CfBjRtctql7bo83ZIgIk3WD7ZbVzdI2ka4DDgaOBNwF7A9Nsf6pqsIjopEwqRURU0uss1d8FTtIs2xvVztZWzZ3pU23PrJ0lFg9Jew4bb8P2jDZniwiQdDSlbMGZjC44fXO1UB0g6Sbbm0m63fYG/WO1s0VE92T7W0REPU81kyQGkPRsysqlmA/bcyStJWlJ27Nr54lFZ/uUZjtjr9j63bafqpmpp83ZIgKAjZuPn+kbM7BdhSxd8qSkacDPJH0Y+BWwfOVMEdFRmVSKiKjnGOAc4G8k/TPwVuCwupE64V7gWknnMfrOdLr9dJCkVwGnAL+gdEBcQ9Ketq+qmQvanS0iAHiv7Xv7BySlLtD4DgCWBfYHPkuZhBu6MjMiYjzZ/hYRUZGk9YHtKResl9u+s3Kk1pJ0mu3dJT1EqQMxiu1PV4gVi0jSTcC7bN/dHK8HfKcN2zDanC0iRraRD4xlG1dExATKSqWIiEokvcb2ZcBdfWN7pl7LfG0maXXgfuDY2mFisVmiN2kDYPs/JS1RM1CfNmeLmLKaGzIvAVaS9Ja+h1akr5tZDNdMkB8CrEXf9aDtbBuMiAWWSaWIiHo+JWlX4KOUWgbfoHSYyqTScCcAlwNrAzf2jYtSQyNbHrrpRknfAE5vjmcy+udbU5uzRUxlM4CdgJUp3ct6HgXeXyVRt5xNeU/9OjCncpaI6Lhsf4uIqESSgIOBDzRDn7L9nYqROkHS8bb3rZ0jFg9JSwEfArZthq4Gvmb7yXqpijZniwiQ9HLbP6mdo2uyRTAiFqdMKkVEVCJpVcqdwhWB51FWQ3zeeWGOKaLpfniq7Zm1swxqc7aIKCR9ATgC+BNwEbAhcKDt08d84hTVnHdAKdD9IKVZyNxJctu/r5ErIrptWu0AERFT2PXARbZfB2wBrA5cWzdSxMSxPQdYS9KStbMManO2iJhrR9uPULbC/QJ4AaVWUAx3E2UL756U79N1zXHvX0TEAktNpYiIel4DvFLSp2x/RtJRwPMrZ4qYaPcC10o6D3isN2j7y/UizdXmbBEBvcL5bwTOtv1w2Vkew9heG0DS2yk3tR6R9ElgU+CzVcNFRGdlpVJERD0fA7YC3tkcPwp8qV6ciIkj6bTm052BH1LOSVbo+1dNm7NFxCjnS7oL2Ay4XNKzgScqZ+qCw5oJpW2B7SiNQo6vnCkiOiorlSIi6tnS9qaSbgGw/YdstYkpZDNJqwP3A8fWDjOgzdkiomH70Kau0sO250h6HPj72rk6oNfx7Y3A121fIOmImoEiorsyqRQRUc9TTTFgAzR3WJ+uGyliwpwAXA6szehaHqL8TaxTI1SjzdkioiFpWWA/YE1gH0ptwhmUFYYxf7+SdCKwA/D5ptNldrBExEJJ97eIiEokzQR2o9QyOAV4K2VJ+tlVg0VMIEnH2963do5h2pwtIkDSmZTi03vYfmkzyXSd7Y0rR2u15vv0OuB22z+T9FxgA9uXVI4WER2USaWIiIokrQ9sT1kBcbntOytHioiI6ARJN9reXNIttjdpxmbZ3qh2toiIqSLb3yIiKrJ9F3BX7RwREREdNFvSMoxsI18XeLJupIiIqSWTShERERER0SmSRKl/dhGwhqQzgG2AvWrmioiYarL9LSIiIiIiOkfS7cCrgK0o28ivt/3bqqEiIqaYrFSKiIiIiIguuhlYx/YFtYNERExVWakUERERERGdI+ku4AXAfcBjlNVKtr1h1WAREVNIJpUiIiIiIqJzJK01bNz2fROdJSJiqsqkUkRERERERERELLBptQNERERERERERET3ZFIpIiIiIiIiIiIWWCaVIiIiIiIiIiJigWVSKSIiIiIiIiIiFlgmlSIiIiIiIiIiYoH9LwF6nVxqn2HYAAAAAElFTkSuQmCC\n",
            "type": "IMG"
          }
        ]
      },
      "apps": [],
      "jobName": "",
      "id": "20190629-191842_1000777267",
      "dateCreated": "2019-06-29 19:18:42.000",
      "dateStarted": "2019-07-10 03:20:15.284",
      "dateFinished": "2019-07-10 03:20:18.192",
      "status": "FINISHED",
      "errorMessage": "",
      "progressUpdateIntervalMs": 0
    },
    {
      "title": "",
      "text": "%pyspark\nnew_df.dtypes",
      "user": "",
      "dateUpdated": "2019-07-10 03:20:18.000",
      "config": {
        "selectedInterpreter": {
          "name": "spark.pyspark",
          "profile": "pyspark",
          "isCustom": false,
          "editorLanguage": "python",
          "className": "org.apache.zeppelin.spark.PySparkInterpreter",
          "isDefault": false
        },
        "colWidth": 12.0,
        "results": [],
        "editorSetting": {
          "language": "scala",
          "editOnDblClick": false
        }
      },
      "settings": {
        "params": {},
        "forms": {}
      },
      "results": {
        "code": "SUCCESS",
        "msg": [
          {
            "data": "bonus                        object\nbonus-to-salary_ratio        object\ndeferral_payments            object\ndeferred_income              object\ndirector_fees                object\nexercised_stock_options      object\nexpenses                     object\nfraction_mail_from_poi       object\nfraction_mail_to_poi         object\nfrom_messages                object\nfrom_poi_to_this_person      object\nfrom_this_person_to_poi      object\nloan_advances                object\nlong_term_incentive          object\nother                        object\npoi                          object\nrestricted_stock             object\nrestricted_stock_deferred    object\nsalary                       object\nshared_receipt_with_poi      object\nto_messages                  object\ntotal_payments               object\ntotal_stock_value            object\ndtype: object",
            "type": "TEXT"
          }
        ]
      },
      "apps": [],
      "jobName": "",
      "id": "20190710-022312_2060216620",
      "dateCreated": "2019-07-10 02:23:12.000",
      "dateStarted": "2019-07-10 03:20:18.196",
      "dateFinished": "2019-07-10 03:20:18.314",
      "status": "FINISHED",
      "errorMessage": "",
      "progressUpdateIntervalMs": 0
    },
    {
      "title": "",
      "text": "%pyspark\nnew_df[\u0027poi\u0027] \u003dnew_df[\u0027poi\u0027].replace({\u0027True\u0027: True, \u0027False\u0027: False})\nnew_df.head()",
      "user": "",
      "dateUpdated": "2019-07-10 03:20:18.000",
      "config": {
        "selectedInterpreter": {
          "name": "spark.pyspark",
          "profile": "pyspark",
          "isCustom": false,
          "editorLanguage": "python",
          "className": "org.apache.zeppelin.spark.PySparkInterpreter",
          "isDefault": false
        },
        "colWidth": 12.0,
        "results": [
          {}
        ],
        "editorSetting": {
          "language": "scala",
          "editOnDblClick": false
        }
      },
      "settings": {
        "params": {},
        "forms": {}
      },
      "results": {
        "code": "SUCCESS",
        "msg": [
          {
            "data": "                      bonus bonus-to-salary_ratio deferral_payments  \\\nindex                                                                 \nMETTS MARK         600000.0    1.6402943781644013               0.0   \nBAXTER JOHN C     1200000.0     4.492665723206865         1295738.0   \nELLIOTT STEVEN     350000.0     2.047490069673162               0.0   \nCORDES WILLIAM R        0.0                   0.0               0.0   \nHANNON KEVIN P    1500000.0     6.165405498719651               0.0   \n\n                 deferred_income director_fees exercised_stock_options  \\\nindex                                                                    \nMETTS MARK                   0.0           0.0                     0.0   \nBAXTER JOHN C         -1386055.0           0.0               6680544.0   \nELLIOTT STEVEN         -400729.0           0.0               4890344.0   \nCORDES WILLIAM R             0.0           0.0                651850.0   \nHANNON KEVIN P        -3117011.0           0.0               5538001.0   \n\n                 expenses fraction_mail_from_poi   fraction_mail_to_poi  \\\nindex                                                                     \nMETTS MARK        94299.0     1.3103448275862069  0.0012391573729863693   \nBAXTER JOHN C     11200.0                    0.0                    0.0   \nELLIOTT STEVEN    78552.0                    0.0                    0.0   \nCORDES WILLIAM R      0.0     0.8333333333333334                    0.0   \nHANNON KEVIN P    34039.0                    1.0   0.020095693779904306   \n\n                 from_messages  ... long_term_incentive      other    poi  \\\nindex                           ...                                         \nMETTS MARK                29.0  ...                 0.0     1740.0  False   \nBAXTER JOHN C              0.0  ...           1586055.0  2660303.0  False   \nELLIOTT STEVEN             0.0  ...                 0.0    12961.0  False   \nCORDES WILLIAM R          12.0  ...                 0.0        0.0  False   \nHANNON KEVIN P            32.0  ...           1617011.0    11350.0   True   \n\n                 restricted_stock restricted_stock_deferred    salary  \\\nindex                                                                   \nMETTS MARK               585062.0                       0.0  365788.0   \nBAXTER JOHN C           3942714.0                       0.0  267102.0   \nELLIOTT STEVEN          1788391.0                       0.0  170941.0   \nCORDES WILLIAM R         386335.0                       0.0       0.0   \nHANNON KEVIN P           853064.0                       0.0  243293.0   \n\n                 shared_receipt_with_poi to_messages total_payments  \\\nindex                                                                 \nMETTS MARK                         702.0       807.0      1061827.0   \nBAXTER JOHN C                        0.0         0.0      5634343.0   \nELLIOTT STEVEN                       0.0         0.0       211725.0   \nCORDES WILLIAM R                    58.0       764.0            0.0   \nHANNON KEVIN P                    1035.0      1045.0       288682.0   \n\n                 total_stock_value  \nindex                               \nMETTS MARK                585062.0  \nBAXTER JOHN C           10623258.0  \nELLIOTT STEVEN           6678735.0  \nCORDES WILLIAM R         1038185.0  \nHANNON KEVIN P           6391065.0  \n\n[5 rows x 23 columns]",
            "type": "TEXT"
          }
        ]
      },
      "apps": [],
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      "id": "20190710-021536_2059569250",
      "dateCreated": "2019-07-10 02:15:36.000",
      "dateStarted": "2019-07-10 03:20:18.316",
      "dateFinished": "2019-07-10 03:20:18.529",
      "status": "FINISHED",
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    {
      "title": "",
      "text": "%pyspark\nnew_df.dtypes",
      "user": "",
      "dateUpdated": "2019-07-10 03:20:18.000",
      "config": {
        "selectedInterpreter": {
          "name": "spark.pyspark",
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          "editOnDblClick": false
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      },
      "settings": {
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      },
      "results": {
        "code": "SUCCESS",
        "msg": [
          {
            "data": "bonus                        object\nbonus-to-salary_ratio        object\ndeferral_payments            object\ndeferred_income              object\ndirector_fees                object\nexercised_stock_options      object\nexpenses                     object\nfraction_mail_from_poi       object\nfraction_mail_to_poi         object\nfrom_messages                object\nfrom_poi_to_this_person      object\nfrom_this_person_to_poi      object\nloan_advances                object\nlong_term_incentive          object\nother                        object\npoi                            bool\nrestricted_stock             object\nrestricted_stock_deferred    object\nsalary                       object\nshared_receipt_with_poi      object\nto_messages                  object\ntotal_payments               object\ntotal_stock_value            object\ndtype: object",
            "type": "TEXT"
          }
        ]
      },
      "apps": [],
      "jobName": "",
      "id": "20190710-022359_1053551442",
      "dateCreated": "2019-07-10 02:23:59.000",
      "dateStarted": "2019-07-10 03:20:18.531",
      "dateFinished": "2019-07-10 03:20:18.655",
      "status": "FINISHED",
      "errorMessage": "",
      "progressUpdateIntervalMs": 0
    },
    {
      "title": "",
      "text": "%pyspark\nnew_df \u003d new_df.apply(lambda x : pd.to_numeric(x, errors \u003d \u0027coerce\u0027)).copy().fillna(0)\nnew_df.head()",
      "user": "",
      "dateUpdated": "2019-07-10 03:20:18.000",
      "config": {
        "selectedInterpreter": {
          "name": "spark.pyspark",
          "profile": "pyspark",
          "isCustom": false,
          "editorLanguage": "python",
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      "settings": {
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      "results": {
        "code": "SUCCESS",
        "msg": [
          {
            "data": "                      bonus  bonus-to-salary_ratio  deferral_payments  \\\nindex                                                                   \nMETTS MARK         600000.0               1.640294                0.0   \nBAXTER JOHN C     1200000.0               4.492666          1295738.0   \nELLIOTT STEVEN     350000.0               2.047490                0.0   \nCORDES WILLIAM R        0.0               0.000000                0.0   \nHANNON KEVIN P    1500000.0               6.165405                0.0   \n\n                  deferred_income  director_fees  exercised_stock_options  \\\nindex                                                                       \nMETTS MARK                    0.0            0.0                      0.0   \nBAXTER JOHN C          -1386055.0            0.0                6680544.0   \nELLIOTT STEVEN          -400729.0            0.0                4890344.0   \nCORDES WILLIAM R              0.0            0.0                 651850.0   \nHANNON KEVIN P         -3117011.0            0.0                5538001.0   \n\n                  expenses  fraction_mail_from_poi  fraction_mail_to_poi  \\\nindex                                                                      \nMETTS MARK         94299.0                1.310345              0.001239   \nBAXTER JOHN C      11200.0                0.000000              0.000000   \nELLIOTT STEVEN     78552.0                0.000000              0.000000   \nCORDES WILLIAM R       0.0                0.833333              0.000000   \nHANNON KEVIN P     34039.0                1.000000              0.020096   \n\n                  from_messages  ...  long_term_incentive      other    poi  \\\nindex                            ...                                          \nMETTS MARK                 29.0  ...                  0.0     1740.0  False   \nBAXTER JOHN C               0.0  ...            1586055.0  2660303.0  False   \nELLIOTT STEVEN              0.0  ...                  0.0    12961.0  False   \nCORDES WILLIAM R           12.0  ...                  0.0        0.0  False   \nHANNON KEVIN P             32.0  ...            1617011.0    11350.0   True   \n\n                  restricted_stock  restricted_stock_deferred    salary  \\\nindex                                                                     \nMETTS MARK                585062.0                        0.0  365788.0   \nBAXTER JOHN C            3942714.0                        0.0  267102.0   \nELLIOTT STEVEN           1788391.0                        0.0  170941.0   \nCORDES WILLIAM R          386335.0                        0.0       0.0   \nHANNON KEVIN P            853064.0                        0.0  243293.0   \n\n                  shared_receipt_with_poi  to_messages  total_payments  \\\nindex                                                                    \nMETTS MARK                          702.0        807.0       1061827.0   \nBAXTER JOHN C                         0.0          0.0       5634343.0   \nELLIOTT STEVEN                        0.0          0.0        211725.0   \nCORDES WILLIAM R                     58.0        764.0             0.0   \nHANNON KEVIN P                     1035.0       1045.0        288682.0   \n\n                  total_stock_value  \nindex                                \nMETTS MARK                 585062.0  \nBAXTER JOHN C            10623258.0  \nELLIOTT STEVEN            6678735.0  \nCORDES WILLIAM R          1038185.0  \nHANNON KEVIN P            6391065.0  \n\n[5 rows x 23 columns]",
            "type": "TEXT"
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        ]
      },
      "apps": [],
      "jobName": "",
      "id": "20190710-022008_33714801",
      "dateCreated": "2019-07-10 02:20:08.000",
      "dateStarted": "2019-07-10 03:20:18.656",
      "dateFinished": "2019-07-10 03:20:18.824",
      "status": "FINISHED",
      "errorMessage": "",
      "progressUpdateIntervalMs": 0
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    {
      "title": "",
      "text": "%pyspark\nnew_df.dtypes",
      "user": "",
      "dateUpdated": "2019-07-10 03:20:18.000",
      "config": {
        "selectedInterpreter": {
          "name": "spark.pyspark",
          "profile": "pyspark",
          "isCustom": false,
          "editorLanguage": "python",
          "className": "org.apache.zeppelin.spark.PySparkInterpreter",
          "isDefault": false
        },
        "colWidth": 12.0,
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          "language": "scala",
          "editOnDblClick": false
        }
      },
      "settings": {
        "params": {},
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      },
      "results": {
        "code": "SUCCESS",
        "msg": [
          {
            "data": "bonus                        float64\nbonus-to-salary_ratio        float64\ndeferral_payments            float64\ndeferred_income              float64\ndirector_fees                float64\nexercised_stock_options      float64\nexpenses                     float64\nfraction_mail_from_poi       float64\nfraction_mail_to_poi         float64\nfrom_messages                float64\nfrom_poi_to_this_person      float64\nfrom_this_person_to_poi      float64\nloan_advances                float64\nlong_term_incentive          float64\nother                        float64\npoi                             bool\nrestricted_stock             float64\nrestricted_stock_deferred    float64\nsalary                       float64\nshared_receipt_with_poi      float64\nto_messages                  float64\ntotal_payments               float64\ntotal_stock_value            float64\ndtype: object",
            "type": "TEXT"
          }
        ]
      },
      "apps": [],
      "jobName": "",
      "id": "20190710-022439_487981529",
      "dateCreated": "2019-07-10 02:24:39.000",
      "dateStarted": "2019-07-10 03:20:18.829",
      "dateFinished": "2019-07-10 03:20:18.946",
      "status": "FINISHED",
      "errorMessage": "",
      "progressUpdateIntervalMs": 0
    },
    {
      "title": "",
      "text": "%pyspark\n# select features based on correlation values to POI if correlation \u003e\u003d.25\n\nfeatures_list \u003d new_df[[\u0027poi\u0027, \u0027total_stock_value\u0027, \u0027total_payments\u0027,\u0027shared_receipt_with_poi\u0027, \u0027salary\u0027, \u0027restricted_stock\u0027, \u0027long_term_incentive\u0027, \u0027exercised_stock_options\u0027, \u0027deferred_income\u0027, \u0027bonus-to-salary_ratio\u0027, \u0027bonus\u0027]]\n\nfeatures_list_new \u003d features_list.reset_index()\n\nfeatures_list_new \u003d features_list_new.rename(columns\u003d{\u0027index\u0027: \u0027Name\u0027})\n\nfeatures_list_new.head()\n",
      "user": "",
      "dateUpdated": "2019-07-10 03:20:19.000",
      "config": {
        "selectedInterpreter": {
          "name": "spark.pyspark",
          "profile": "pyspark",
          "isCustom": false,
          "editorLanguage": "python",
          "className": "org.apache.zeppelin.spark.PySparkInterpreter",
          "isDefault": false
        },
        "colWidth": 12.0,
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          {}
        ],
        "editorSetting": {
          "language": "scala",
          "editOnDblClick": false
        }
      },
      "settings": {
        "params": {},
        "forms": {}
      },
      "results": {
        "code": "SUCCESS",
        "msg": [
          {
            "data": "               Name    poi  total_stock_value  total_payments  \\\n0        METTS MARK  False           585062.0       1061827.0   \n1     BAXTER JOHN C  False         10623258.0       5634343.0   \n2    ELLIOTT STEVEN  False          6678735.0        211725.0   \n3  CORDES WILLIAM R  False          1038185.0             0.0   \n4    HANNON KEVIN P   True          6391065.0        288682.0   \n\n   shared_receipt_with_poi    salary  restricted_stock  long_term_incentive  \\\n0                    702.0  365788.0          585062.0                  0.0   \n1                      0.0  267102.0         3942714.0            1586055.0   \n2                      0.0  170941.0         1788391.0                  0.0   \n3                     58.0       0.0          386335.0                  0.0   \n4                   1035.0  243293.0          853064.0            1617011.0   \n\n   exercised_stock_options  deferred_income  bonus-to-salary_ratio      bonus  \n0                      0.0              0.0               1.640294   600000.0  \n1                6680544.0       -1386055.0               4.492666  1200000.0  \n2                4890344.0        -400729.0               2.047490   350000.0  \n3                 651850.0              0.0               0.000000        0.0  \n4                5538001.0       -3117011.0               6.165405  1500000.0  ",
            "type": "TEXT"
          }
        ]
      },
      "apps": [],
      "jobName": "",
      "id": "20190703-022930_1691265103",
      "dateCreated": "2019-07-03 02:29:30.000",
      "dateStarted": "2019-07-10 03:20:18.948",
      "dateFinished": "2019-07-10 03:20:19.068",
      "status": "FINISHED",
      "errorMessage": "",
      "progressUpdateIntervalMs": 0
    },
    {
      "title": "",
      "text": "%pyspark\nfrom sklearn.model_selection import train_test_split\n\ny \u003d features_list[\u0027poi\u0027]\nX \u003d features_list.drop(\u0027poi\u0027, axis\u003d1)\n\nX_train, X_test, y_train, y_test \u003d train_test_split(X, y, random_state\u003d1, stratify\u003dy)\n\n",
      "user": "",
      "dateUpdated": "2019-07-10 03:20:19.000",
      "config": {
        "selectedInterpreter": {
          "name": "spark.pyspark",
          "profile": "pyspark",
          "isCustom": false,
          "editorLanguage": "python",
          "className": "org.apache.zeppelin.spark.PySparkInterpreter",
          "isDefault": false
        },
        "colWidth": 12.0,
        "results": [
          {}
        ],
        "editorSetting": {
          "language": "scala",
          "editOnDblClick": false
        }
      },
      "settings": {
        "params": {},
        "forms": {}
      },
      "results": {
        "code": "SUCCESS",
        "msg": []
      },
      "apps": [],
      "jobName": "",
      "id": "20190703-033325_785939143",
      "dateCreated": "2019-07-03 03:33:25.000",
      "dateStarted": "2019-07-10 03:20:19.072",
      "dateFinished": "2019-07-10 03:20:19.336",
      "status": "FINISHED",
      "errorMessage": "",
      "progressUpdateIntervalMs": 0
    },
    {
      "title": "",
      "text": "%pyspark\nX_train.head()",
      "user": "",
      "dateUpdated": "2019-07-10 03:20:19.000",
      "config": {
        "selectedInterpreter": {
          "name": "spark.pyspark",
          "profile": "pyspark",
          "isCustom": false,
          "editorLanguage": "python",
          "className": "org.apache.zeppelin.spark.PySparkInterpreter",
          "isDefault": false
        },
        "colWidth": 12.0,
        "results": [
          {}
        ],
        "editorSetting": {
          "language": "scala",
          "editOnDblClick": false
        }
      },
      "settings": {
        "params": {},
        "forms": {}
      },
      "results": {
        "code": "SUCCESS",
        "msg": [
          {
            "data": "                      total_stock_value  total_payments  \\\nindex                                                     \nSHERRIFF JOHN R               3128982.0       4335388.0   \nCUMBERLAND MICHAEL S           207940.0        807956.0   \nWAKEHAM JOHN                        0.0        213071.0   \nCHAN RONNIE                         0.0             0.0   \nPIRO JIM                        47304.0             0.0   \n\n                      shared_receipt_with_poi    salary  restricted_stock  \\\nindex                                                                       \nSHERRIFF JOHN R                        2103.0  428780.0         1293424.0   \nCUMBERLAND MICHAEL S                      0.0  184899.0          207940.0   \nWAKEHAM JOHN                              0.0       0.0               0.0   \nCHAN RONNIE                               0.0       0.0           32460.0   \nPIRO JIM                                  3.0       0.0           47304.0   \n\n                      long_term_incentive  exercised_stock_options  \\\nindex                                                                \nSHERRIFF JOHN R                  554422.0                1835558.0   \nCUMBERLAND MICHAEL S             275000.0                      0.0   \nWAKEHAM JOHN                          0.0                      0.0   \nCHAN RONNIE                           0.0                      0.0   \nPIRO JIM                              0.0                      0.0   \n\n                      deferred_income  bonus-to-salary_ratio      bonus  \nindex                                                                    \nSHERRIFF JOHN R                   0.0               3.498297  1500000.0  \nCUMBERLAND MICHAEL S              0.0               1.757716   325000.0  \nWAKEHAM JOHN                      0.0               0.000000        0.0  \nCHAN RONNIE                  -98784.0               0.000000        0.0  \nPIRO JIM                          0.0               0.000000        0.0  ",
            "type": "TEXT"
          }
        ]
      },
      "apps": [],
      "jobName": "",
      "id": "20190703-033343_1248731533",
      "dateCreated": "2019-07-03 03:33:43.000",
      "dateStarted": "2019-07-10 03:20:19.337",
      "dateFinished": "2019-07-10 03:20:19.455",
      "status": "FINISHED",
      "errorMessage": "",
      "progressUpdateIntervalMs": 0
    },
    {
      "title": "",
      "text": "%pyspark\nfrom sklearn.naive_bayes import GaussianNB\n\nclf \u003d GaussianNB()\n\nclf.fit(X_train, y_train)\nprediction \u003d clf.predict(X_test)\nprint(prediction)",
      "user": "",
      "dateUpdated": "2019-07-10 03:20:19.000",
      "config": {
        "selectedInterpreter": {
          "name": "spark.pyspark",
          "profile": "pyspark",
          "isCustom": false,
          "editorLanguage": "python",
          "className": "org.apache.zeppelin.spark.PySparkInterpreter",
          "isDefault": false
        },
        "colWidth": 12.0,
        "results": [
          {}
        ],
        "editorSetting": {
          "language": "scala",
          "editOnDblClick": false
        }
      },
      "settings": {
        "params": {},
        "forms": {}
      },
      "results": {
        "code": "SUCCESS",
        "msg": [
          {
            "data": "[False  True False False False False False False False False False False\n False False False False False  True  True False False False False False\n  True False False False False False False False False False False False]\n",
            "type": "TEXT"
          }
        ]
      },
      "apps": [],
      "jobName": "",
      "id": "20190706-064651_1537366692",
      "dateCreated": "2019-07-06 06:46:51.000",
      "dateStarted": "2019-07-10 03:20:19.458",
      "dateFinished": "2019-07-10 03:20:19.571",
      "status": "FINISHED",
      "errorMessage": "",
      "progressUpdateIntervalMs": 0
    },
    {
      "title": "",
      "text": "%pyspark\nfrom sklearn.naive_bayes import GaussianNB\nscore \u003d clf.score( X_train, y_train)\n\nprint(score)",
      "user": "",
      "dateUpdated": "2019-07-10 03:20:19.000",
      "config": {
        "selectedInterpreter": {
          "name": "spark.pyspark",
          "profile": "pyspark",
          "isCustom": false,
          "editorLanguage": "python",
          "className": "org.apache.zeppelin.spark.PySparkInterpreter",
          "isDefault": false
        },
        "colWidth": 12.0,
        "results": [
          {}
        ],
        "editorSetting": {
          "language": "scala",
          "editOnDblClick": false
        }
      },
      "settings": {
        "params": {},
        "forms": {}
      },
      "results": {
        "code": "SUCCESS",
        "msg": [
          {
            "data": "0.8761904761904762\n",
            "type": "TEXT"
          }
        ]
      },
      "apps": [],
      "jobName": "",
      "id": "20190706-190911_922481137",
      "dateCreated": "2019-07-06 19:09:11.000",
      "dateStarted": "2019-07-10 03:20:19.573",
      "dateFinished": "2019-07-10 03:20:19.689",
      "status": "FINISHED",
      "errorMessage": "",
      "progressUpdateIntervalMs": 0
    },
    {
      "title": "",
      "text": "%pyspark\ntest_score \u003d clf.score(X_test, y_test)\n\nprint(test_score)",
      "user": "",
      "dateUpdated": "2019-07-10 03:20:19.000",
      "config": {
        "selectedInterpreter": {
          "name": "spark.pyspark",
          "profile": "pyspark",
          "isCustom": false,
          "editorLanguage": "python",
          "className": "org.apache.zeppelin.spark.PySparkInterpreter",
          "isDefault": false
        },
        "colWidth": 12.0,
        "results": [
          {}
        ],
        "editorSetting": {
          "language": "scala",
          "editOnDblClick": false
        }
      },
      "settings": {
        "params": {},
        "forms": {}
      },
      "results": {
        "code": "SUCCESS",
        "msg": [
          {
            "data": "0.8611111111111112\n",
            "type": "TEXT"
          }
        ]
      },
      "apps": [],
      "jobName": "",
      "id": "20190706-192557_1512196606",
      "dateCreated": "2019-07-06 19:25:57.000",
      "dateStarted": "2019-07-10 03:20:19.692",
      "dateFinished": "2019-07-10 03:20:19.804",
      "status": "FINISHED",
      "errorMessage": "",
      "progressUpdateIntervalMs": 0
    },
    {
      "title": "",
      "text": "%pyspark\r\ny_df \u003d pd.DataFrame(y_test)\r\n\r\ny_df \u003d y_df.reset_index()\r\n\r\ny_df \u003d y_df.rename(columns\u003d{\u0027index\u0027: \u0027Name\u0027, \u0027poi\u0027: \u0027Actual\u0027})\r\n\r\ny_df.head()",
      "user": "",
      "dateUpdated": "2019-07-10 03:20:19.000",
      "config": {
        "selectedInterpreter": {
          "name": "spark.pyspark",
          "profile": "pyspark",
          "isCustom": false,
          "editorLanguage": "python",
          "className": "org.apache.zeppelin.spark.PySparkInterpreter",
          "isDefault": false
        },
        "colWidth": 12.0,
        "results": [
          {}
        ],
        "editorSetting": {
          "language": "scala",
          "editOnDblClick": false
        }
      },
      "settings": {
        "params": {},
        "forms": {}
      },
      "results": {
        "code": "SUCCESS",
        "msg": [
          {
            "data": "               Name  Actual\n0    KITCHEN LOUISE   False\n1     BAXTER JOHN C   False\n2   THORN TERENCE H   False\n3   HUMPHREY GENE E   False\n4  WALTERS GARETH W   False",
            "type": "TEXT"
          }
        ]
      },
      "apps": [],
      "jobName": "",
      "id": "20190706-192653_619055315",
      "dateCreated": "2019-07-06 19:26:53.000",
      "dateStarted": "2019-07-10 03:20:19.807",
      "dateFinished": "2019-07-10 03:20:19.920",
      "status": "FINISHED",
      "errorMessage": "",
      "progressUpdateIntervalMs": 0
    },
    {
      "title": "",
      "text": "%pyspark\nprediction_df \u003d pd.DataFrame(prediction)\n\nprediction_df.columns \u003d [\u0027Prediction\u0027]\n\nprediction_df.head()",
      "user": "",
      "dateUpdated": "2019-07-10 03:20:20.000",
      "config": {
        "selectedInterpreter": {
          "name": "spark.pyspark",
          "profile": "pyspark",
          "isCustom": false,
          "editorLanguage": "python",
          "className": "org.apache.zeppelin.spark.PySparkInterpreter",
          "isDefault": false
        },
        "colWidth": 12.0,
        "results": [
          {}
        ],
        "editorSetting": {
          "language": "scala",
          "editOnDblClick": false
        }
      },
      "settings": {
        "params": {},
        "forms": {}
      },
      "results": {
        "code": "SUCCESS",
        "msg": [
          {
            "data": "   Prediction\n0       False\n1        True\n2       False\n3       False\n4       False",
            "type": "TEXT"
          }
        ]
      },
      "apps": [],
      "jobName": "",
      "id": "20190706-203941_181875585",
      "dateCreated": "2019-07-06 20:39:41.000",
      "dateStarted": "2019-07-10 03:20:19.922",
      "dateFinished": "2019-07-10 03:20:20.034",
      "status": "FINISHED",
      "errorMessage": "",
      "progressUpdateIntervalMs": 0
    },
    {
      "title": "",
      "text": "%pyspark\noutcomes \u003d y_df.join(prediction_df)\n\noutcomes",
      "user": "",
      "dateUpdated": "2019-07-10 03:20:20.000",
      "config": {
        "selectedInterpreter": {
          "name": "spark.pyspark",
          "profile": "pyspark",
          "isCustom": false,
          "editorLanguage": "python",
          "className": "org.apache.zeppelin.spark.PySparkInterpreter",
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        "code": "SUCCESS",
        "msg": [
          {
            "data": "                    Name  Actual  Prediction\n0         KITCHEN LOUISE   False       False\n1          BAXTER JOHN C   False        True\n2        THORN TERENCE H   False       False\n3        HUMPHREY GENE E   False       False\n4       WALTERS GARETH W   False       False\n5        REDMOND BRIAN L   False       False\n6      BLACHMAN JEREMY M   False       False\n7         WHALEY DAVID A   False       False\n8           DODSON KEITH   False       False\n9      KISHKILL JOSEPH G   False       False\n10  CALGER CHRISTOPHER F    True       False\n11    BAZELIDES PHILIP J   False       False\n12           GRAY RODNEY   False       False\n13       MCMAHON JEFFREY   False       False\n14      PICKERING MARK R   False       False\n15      HERMANN ROBERT J   False       False\n16           GILLIS JOHN   False       False\n17        HANNON KEVIN P    True        True\n18    SKILLING JEFFREY K    True        True\n19       JAEDICKE ROBERT   False       False\n20    JACKSON CHARLENE R   False       False\n21    SHERRICK JEFFREY B   False       False\n22          GIBBS DANA R   False       False\n23             COX DAVID   False       False\n24   DERRICK JR. JAMES V   False        True\n25          SUNDE MARTIN   False       False\n26         LEFF DANIEL P   False       False\n27          BECK SALLY W   False       False\n28  BERGSIEKER RICHARD P   False       False\n29       LOWRY CHARLES P   False       False\n30       GARLAND C KEVIN   False       False\n31        YEAGER F SCOTT    True       False\n32      MEYER ROCKFORD G   False       False\n33        UMANOFF ADAM S   False       False\n34               FOY JOE   False       False\n35    BOWEN JR RAYMOND M    True       False",
            "type": "TEXT"
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      "id": "20190706-204029_1074106155",
      "dateCreated": "2019-07-06 20:40:29.000",
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      "status": "FINISHED",
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    {
      "title": "",
      "text": "# Kevin Hannon\n# https://www.reuters.com/article/us-enron-sentencing/ex-enron-executive-sentenced-to-2-years-in-prison-idUSN0422263820070604\n\n# Jeffrey Skilling CEO\n# https://www.nytimes.com/2019/02/22/business/enron-ceo-skilling-scandal.html\n\n# Scott Yeager dataset is true model is false he was acquitted of all charges after a long legal battle that went to the supreme court\n# same with chris calger charges dismissed https://www.nytimes.com/2007/04/03/business/03enron.html\n# raymond bowen died before he was supposed to testify before congress",
      "user": "",
      "dateUpdated": "2019-07-10 03:20:22.000",
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      "id": "20190706-205115_1166332291",
      "dateCreated": "2019-07-06 20:51:15.000",
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      "status": "FINISHED",
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    },
    {
      "title": "",
      "text": "%pyspark\nskilling \u003d features_list_new[features_list_new[\u0027Name\u0027] \u003d\u003d \u0027SKILLING JEFFREY K\u0027] \n\nskilling",
      "user": "",
      "dateUpdated": "2019-07-10 03:20:22.000",
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        "code": "SUCCESS",
        "msg": [
          {
            "data": "                  Name   poi  total_stock_value  total_payments  \\\n95  SKILLING JEFFREY K  True         26093672.0       8682716.0   \n\n    shared_receipt_with_poi     salary  restricted_stock  long_term_incentive  \\\n95                   2042.0  1111258.0         6843672.0            1920000.0   \n\n    exercised_stock_options  deferred_income  bonus-to-salary_ratio      bonus  \n95               19250000.0              0.0               5.039334  5600000.0  ",
            "type": "TEXT"
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      "id": "20190706-210007_2020605964",
      "dateCreated": "2019-07-06 21:00:07.000",
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      "status": "FINISHED",
      "errorMessage": "",
      "progressUpdateIntervalMs": 0
    },
    {
      "title": "",
      "text": "%pyspark\n\nskilling_full \u003d df[df[\u0027_c0\u0027] \u003d\u003d \u0027SKILLING JEFFREY K\u0027] \n\nskilling_full",
      "user": "",
      "dateUpdated": "2019-07-10 03:20:22.000",
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      "results": {
        "code": "SUCCESS",
        "msg": [
          {
            "data": "                   _c0      bonus bonus-to-salary_ratio deferral_payments  \\\n95  SKILLING JEFFREY K  5600000.0      5.03933380007163               0.0   \n\n   deferred_income director_fees exercised_stock_options expenses  \\\n95             0.0           0.0              19250000.0  29336.0   \n\n   fraction_mail_from_poi  fraction_mail_to_poi  ... long_term_incentive  \\\n95     0.8148148148148148  0.008271298593879239  ...           1920000.0   \n\n      other   poi restricted_stock restricted_stock_deferred     salary  \\\n95  22122.0  True        6843672.0                       0.0  1111258.0   \n\n   shared_receipt_with_poi to_messages total_payments total_stock_value  \n95                  2042.0      3627.0      8682716.0        26093672.0  \n\n[1 rows x 24 columns]",
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        ]
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      "status": "FINISHED",
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    },
    {
      "title": "",
      "text": "%pyspark\nplt.scatter(new_df[\u0027from_poi_to_this_person\u0027][new_df[\u0027poi\u0027] \u003d\u003d False], new_df[\u0027from_this_person_to_poi\u0027][new_df[\u0027poi\u0027] \u003d\u003d False],color \u003d \u0027b\u0027, label \u003d \u0027Not-POI\u0027)\n\nplt.scatter(new_df[\u0027from_poi_to_this_person\u0027][new_df[\u0027poi\u0027] \u003d\u003d True], new_df[\u0027from_this_person_to_poi\u0027][new_df[\u0027poi\u0027] \u003d\u003d True], color \u003d \u0027r\u0027, label \u003d \u0027POI\u0027)\n\n\nplt.xlabel(\u0027from_poi_to_this_person\u0027)\nplt.ylabel(\u0027from_this_person_to_poi\u0027)\nplt.title(\"Emails to and from poi\")\nplt.legend(loc\u003d\u0027upper right\u0027)\nplt.show() ",
      "user": "",
      "dateUpdated": "2019-07-10 03:20:23.000",
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        "code": "SUCCESS",
        "msg": [
          {
            "data": "\u003cFigure size 432x288 with 1 Axes\u003e\n",
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          },
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\u003d\u003d\n",
            "type": "IMG"
          }
        ]
      },
      "apps": [],
      "jobName": "",
      "id": "20190706-211304_812034674",
      "dateCreated": "2019-07-06 21:13:04.000",
      "dateStarted": "2019-07-10 03:20:22.974",
      "dateFinished": "2019-07-10 03:20:23.247",
      "status": "FINISHED",
      "errorMessage": "",
      "progressUpdateIntervalMs": 0
    },
    {
      "title": "",
      "text": "%pyspark\n\n# Drawing scatterplot with the modified dataframe\nplt.scatter(new_df[\u0027salary\u0027][new_df[\u0027poi\u0027] \u003d\u003d True],new_df[\u0027bonus\u0027][new_df[\u0027poi\u0027] \u003d\u003d True], color \u003d \u0027r\u0027,\n           label \u003d \u0027POI\u0027)\nplt.scatter(new_df[\u0027salary\u0027][new_df[\u0027poi\u0027] \u003d\u003d False],new_df[\u0027bonus\u0027][new_df[\u0027poi\u0027] \u003d\u003d False],color \u003d \u0027b\u0027,\n           label \u003d \u0027Not-POI\u0027)\n    \nplt.xlabel(\"Salary\")\nplt.ylabel(\"Bonus\")\nplt.title(\"Salary vs bonus\")\nplt.legend(loc\u003d\u0027upper left\u0027)\nplt.show() ",
      "user": "",
      "dateUpdated": "2019-07-10 03:21:47.000",
      "config": {
        "selectedInterpreter": {
          "name": "spark.pyspark",
          "profile": "pyspark",
          "isCustom": false,
          "editorLanguage": "python",
          "className": "org.apache.zeppelin.spark.PySparkInterpreter",
          "isDefault": false
        },
        "colWidth": 12.0,
        "results": [
          {},
          {}
        ],
        "editorSetting": {
          "language": "scala",
          "editOnDblClick": false
        }
      },
      "settings": {
        "params": {},
        "forms": {}
      },
      "results": {
        "code": "SUCCESS",
        "msg": [
          {
            "data": "\u003cFigure size 432x288 with 1 Axes\u003e\n",
            "type": "TEXT"
          },
          {
            "data": 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\u003d\n",
            "type": "IMG"
          }
        ]
      },
      "apps": [],
      "jobName": "",
      "id": "20190709-064924_39952391",
      "dateCreated": "2019-07-09 06:49:24.000",
      "dateStarted": "2019-07-10 03:21:47.567",
      "dateFinished": "2019-07-10 03:21:47.838",
      "status": "FINISHED",
      "errorMessage": "",
      "progressUpdateIntervalMs": 0
    },
    {
      "title": "",
      "text": "%pyspark\nplt.scatter(new_df[\u0027total_payments\u0027][new_df[\u0027poi\u0027] \u003d\u003d False],\n            new_df[\u0027deferral_payments\u0027][new_df[\u0027poi\u0027] \u003d\u003d False],\n            color \u003d \u0027b\u0027, label \u003d \u0027Not-POI\u0027)\n\nplt.scatter(new_df[\u0027total_payments\u0027][new_df[\u0027poi\u0027] \u003d\u003d True],\n            new_df[\u0027deferral_payments\u0027][new_df[\u0027poi\u0027] \u003d\u003d True],\n            color \u003d \u0027r\u0027, label \u003d \u0027POI\u0027)\n\n    \nplt.xlabel(\u0027total_payments\u0027)\nplt.ylabel(\u0027deferral_payments\u0027)\nplt.title(\"Total payments vs deferral payments w.r.t POI\")\nplt.legend(loc\u003d\u0027upper right\u0027)\nplt.show() ",
      "user": "",
      "dateUpdated": "2019-07-10 03:22:54.000",
      "config": {
        "selectedInterpreter": {
          "name": "spark.pyspark",
          "profile": "pyspark",
          "isCustom": false,
          "editorLanguage": "python",
          "className": "org.apache.zeppelin.spark.PySparkInterpreter",
          "isDefault": false
        },
        "colWidth": 12.0,
        "results": [
          {},
          {}
        ],
        "editorSetting": {
          "language": "scala",
          "editOnDblClick": false
        }
      },
      "settings": {
        "params": {},
        "forms": {}
      },
      "results": {
        "code": "SUCCESS",
        "msg": [
          {
            "data": "\u003cFigure size 432x288 with 1 Axes\u003e\n",
            "type": "TEXT"
          },
          {
            "data": 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