diff --git a/python/examples/spc_reader_comparison.ipynb b/python/examples/spc_reader_comparison.ipynb
index 098487e..3a6275f 100644
--- a/python/examples/spc_reader_comparison.ipynb
+++ b/python/examples/spc_reader_comparison.ipynb
@@ -9,14 +9,14 @@
     "import matplotlib.pyplot as plt\n",
     "import polars as pl\n",
     "import numpy as np\n",
-    "from uatk_spc.reader import SPCReader"
+    "from uatk_spc.reader import Reader"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "#### Compare `SPCReaderProto` and `SPCReaderParquet`\n",
+    "#### Compare `Reader` with Protobuffer and Parquet\n",
     "\n",
     "Compare the ability to read into dataframes and dict directly from protobuf or from parquet.\n"
    ]
@@ -30,8 +30,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 4.81 s, sys: 177 ms, total: 4.98 s\n",
-      "Wall time: 5.03 s\n"
+      "CPU times: user 4.92 s, sys: 183 ms, total: 5.11 s\n",
+      "Wall time: 5.12 s\n"
      ]
     }
    ],
@@ -41,7 +41,7 @@
     "region = \"rutland\"\n",
     "\n",
     "# Read from protobuf\n",
-    "spc = SPCReader(path, region, input_type=\"protobuf\")"
+    "spc = Reader(path, region, input_type=\"protobuf\")"
    ]
   },
   {
@@ -53,18 +53,19 @@
      "data": {
       "text/html": [
        "<div><style>\n",
-       ".dataframe > thead > tr > th,\n",
-       ".dataframe > tbody > tr > td {\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
        "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
        "}\n",
        "</style>\n",
-       "<small>shape: (40_381, 10)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>id</th><th>household</th><th>workplace</th><th>identifiers</th><th>demographics</th><th>employment</th><th>health</th><th>events</th><th>weekdayDiaries</th><th>weekendDiaries</th></tr><tr><td>str</td><td>str</td><td>str</td><td>struct[4]</td><td>struct[4]</td><td>struct[6]</td><td>struct[7]</td><td>struct[7]</td><td>list[i64]</td><td>list[i64]</td></tr></thead><tbody><tr><td>&quot;0&quot;</td><td>&quot;0&quot;</td><td>&quot;1168&quot;</td><td>{&quot;E02002863_0001_001&quot;,&quot;17310308&quot;,&quot;2&quot;,&quot;2908614&quot;}</td><td>{&quot;MALE&quot;,44,&quot;WHITE&quot;,&quot;SEMIROUTINE&quot;}</td><td>{&quot;F&quot;,&quot;43&quot;,&quot;5241&quot;,&quot;EMPLOYEE_FT&quot;,18137.6,8.72}</td><td>{39.47709,false,false,false,&quot;GOOD&quot;,&quot;HIGH&quot;,&quot;0&quot;}</td><td>{0.255,0.16065,0.002589,0.001109,2.7350748,1.1721749,0.15741}</td><td>[1796, 2877, … 15973]</td><td>[1795, 2876, … 15974]</td></tr><tr><td>&quot;1&quot;</td><td>&quot;0&quot;</td><td>&quot;155&quot;</td><td>{&quot;E02002863_0001_002&quot;,&quot;12050117&quot;,&quot;1&quot;,&quot;2904675&quot;}</td><td>{&quot;FEMALE&quot;,41,&quot;WHITE&quot;,&quot;LOWER&quot;}</td><td>{&quot;G&quot;,&quot;47&quot;,&quot;2421&quot;,&quot;EMPLOYEE_FT&quot;,49649.953,27.280193}</td><td>{22.909258,false,false,false,&quot;GOOD&quot;,&quot;VERY_HIGH&quot;,&quot;1&quot;}</td><td>{0.255,0.1887,0.008982,0.020958,1.0750833,2.5085278,0.15741}</td><td>[289, 2183, … 15161]</td><td>[288, 2184, … 15162]</td></tr><tr><td>&quot;2&quot;</td><td>&quot;1&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002863_0002_001&quot;,&quot;11280408&quot;,&quot;2&quot;,&quot;2906341&quot;}</td><td>{&quot;MALE&quot;,68,&quot;WHITE&quot;,&quot;SUPER&quot;}</td><td>{&quot;S&quot;,&quot;96&quot;,&quot;5119&quot;,&quot;SELF_EMPLOYED&quot;,0.0,0.0}</td><td>{25.25762,false,false,false,&quot;GOOD&quot;,&quot;LOW&quot;,&quot;0&quot;}</td><td>{0.239,0.15057,8.4672e-16,3.6288e-16,0.228979,0.098134,0.15741}</td><td>[89, 677, … 16391]</td><td>[88, 678, … 16390]</td></tr><tr><td>&quot;3&quot;</td><td>&quot;1&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002863_0002_002&quot;,&quot;16110805&quot;,&quot;1&quot;,&quot;2904451&quot;}</td><td>{&quot;FEMALE&quot;,62,&quot;WHITE&quot;,&quot;NEVER&quot;}</td><td>{&quot;P&quot;,&quot;85&quot;,&quot;9244&quot;,&quot;EMPLOYEE_PT&quot;,1921.6006,9.238464}</td><td>{31.486355,false,true,true,&quot;VERY_BAD&quot;,&quot;MEDIUM&quot;,&quot;0&quot;}</td><td>{0.268,0.09916,3.5557e-12,8.2967e-12,0.309534,0.7222454,0.131175}</td><td>[2844, 5035, … 15284]</td><td>[2845, 5034, … 15283]</td></tr><tr><td>&quot;4&quot;</td><td>&quot;1&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002863_0002_003&quot;,&quot;16241112&quot;,&quot;6&quot;,&quot;2900274&quot;}</td><td>{&quot;MALE&quot;,10,&quot;WHITE&quot;,&quot;HIGHER&quot;}</td><td>{&quot;&quot;,&quot;0&quot;,&quot;0&quot;,&quot;NA&quot;,0.0,0.0}</td><td>{0.0,false,false,false,&quot;GOOD&quot;,&quot;LOW&quot;,&quot;0&quot;}</td><td>{0.257,0.16191,0.165205,0.070802,0.005898,0.002528,0.107325}</td><td>[33, 74, … 16378]</td><td>[32, 75, … 16379]</td></tr><tr><td>&quot;5&quot;</td><td>&quot;2&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002863_0003_001&quot;,&quot;15131020&quot;,&quot;2&quot;,&quot;2911137&quot;}</td><td>{&quot;MALE&quot;,59,&quot;WHITE&quot;,&quot;LOWER&quot;}</td><td>{&quot;Q&quot;,&quot;86&quot;,&quot;2215&quot;,&quot;SELF_EMPLOYED&quot;,0.0,0.0}</td><td>{36.944996,false,false,false,&quot;GOOD&quot;,&quot;HIGH&quot;,&quot;0&quot;}</td><td>{0.268,0.33768,4.9777e-10,2.1333e-10,1.1239074,0.481675,0.160325}</td><td>[473, 494, … 16164]</td><td>[474, 493, … 16163]</td></tr><tr><td>&quot;6&quot;</td><td>&quot;2&quot;</td><td>&quot;1869&quot;</td><td>{&quot;E02002863_0003_002&quot;,&quot;17050101&quot;,&quot;2&quot;,&quot;2902963&quot;}</td><td>{&quot;FEMALE&quot;,58,&quot;WHITE&quot;,&quot;INTERMEDIATE&quot;}</td><td>{&quot;M&quot;,&quot;72&quot;,&quot;3539&quot;,&quot;EMPLOYEE_PT&quot;,9068.8,8.72}</td><td>{28.937033,true,true,true,&quot;FAIR&quot;,&quot;LOW&quot;,&quot;4&quot;}</td><td>{0.268,0.19832,7.7543e-10,1.8093e-9,0.54735,1.277151,0.160325}</td><td>[2385, 4529, … 14047]</td><td>[2384, 4528, … 14046]</td></tr><tr><td>&quot;7&quot;</td><td>&quot;3&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002863_0004_001&quot;,&quot;16230616&quot;,&quot;2&quot;,&quot;2902653&quot;}</td><td>{&quot;MALE&quot;,48,&quot;WHITE&quot;,&quot;HIGHER&quot;}</td><td>{&quot;Q&quot;,&quot;88&quot;,&quot;1115&quot;,&quot;EMPLOYEE_FT&quot;,80020.63,38.47146}</td><td>{30.083155,false,false,false,&quot;GOOD&quot;,&quot;HIGH&quot;,&quot;0&quot;}</td><td>{0.279,0.35154,0.000095,0.000041,2.6761558,1.1469239,0.160325}</td><td>[1008, 1042, … 13283]</td><td>[1009, 1043, … 13282]</td></tr><tr><td>&quot;8&quot;</td><td>&quot;3&quot;</td><td>&quot;376&quot;</td><td>{&quot;E02002863_0004_002&quot;,&quot;11280707&quot;,&quot;1&quot;,&quot;2911380&quot;}</td><td>{&quot;FEMALE&quot;,48,&quot;WHITE&quot;,&quot;ROUTINE&quot;}</td><td>{&quot;G&quot;,&quot;47&quot;,&quot;7111&quot;,&quot;EMPLOYEE_PT&quot;,7501.991,9.016816}</td><td>{38.12921,false,false,false,&quot;GOOD&quot;,&quot;LOW&quot;,&quot;0&quot;}</td><td>{0.279,0.10323,0.000041,0.000095,1.1469239,2.6761558,0.160325}</td><td>[148, 385, … 15497]</td><td>[149, 386, … 15498]</td></tr><tr><td>&quot;9&quot;</td><td>&quot;4&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002863_0005_001&quot;,&quot;17051017&quot;,&quot;1&quot;,&quot;2905639&quot;}</td><td>{&quot;MALE&quot;,62,&quot;WHITE&quot;,&quot;INTERMEDIATE&quot;}</td><td>{&quot;C&quot;,&quot;21&quot;,&quot;3567&quot;,&quot;EMPLOYEE_FT&quot;,40180.01,17.170944}</td><td>{40.231823,false,false,true,&quot;VERY_GOOD&quot;,&quot;HIGH&quot;,&quot;0&quot;}</td><td>{0.268,0.33768,8.2967e-12,3.5557e-12,0.7222454,0.309534,0.160325}</td><td>[540, 970, … 15957]</td><td>[539, 971, … 15958]</td></tr><tr><td>&quot;10&quot;</td><td>&quot;4&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002863_0005_002&quot;,&quot;14210402&quot;,&quot;1&quot;,&quot;2900718&quot;}</td><td>{&quot;FEMALE&quot;,60,&quot;WHITE&quot;,&quot;SUPER&quot;}</td><td>{&quot;S&quot;,&quot;96&quot;,&quot;6221&quot;,&quot;SELF_EMPLOYED&quot;,0.0,0.0}</td><td>{29.55994,true,false,false,&quot;FAIR&quot;,&quot;HIGH&quot;,&quot;8&quot;}</td><td>{0.268,0.09916,5.6552e-11,1.3196e-10,0.41975,0.9794158,0.160325}</td><td>[245, 470, … 16123]</td><td>[244, 469, … 16124]</td></tr><tr><td>&quot;11&quot;</td><td>&quot;4&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002863_0005_003&quot;,&quot;12221218&quot;,&quot;3&quot;,&quot;2906812&quot;}</td><td>{&quot;FEMALE&quot;,16,&quot;BLACK&quot;,&quot;HIGHER&quot;}</td><td>{&quot;&quot;,&quot;0&quot;,&quot;0&quot;,&quot;STUDENT_FT&quot;,0.0,0.0}</td><td>{22.175663,false,false,false,&quot;FAIR&quot;,&quot;HIGH&quot;,&quot;2&quot;}</td><td>{0.257,0.09509,0.766659,1.788871,0.016998,0.039662,0.0567}</td><td>[194, 300, … 16281]</td><td>[195, 301, … 16280]</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>&quot;40369&quot;</td><td>&quot;16692&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002867_3694_001&quot;,&quot;43051018&quot;,&quot;1&quot;,&quot;2910322&quot;}</td><td>{&quot;MALE&quot;,74,&quot;WHITE&quot;,&quot;SMALL&quot;}</td><td>{&quot;P&quot;,&quot;85&quot;,&quot;2319&quot;,&quot;EMPLOYEE_PT&quot;,11897.178,28.598986}</td><td>{29.516066,false,false,false,&quot;GOOD&quot;,&quot;VERY_HIGH&quot;,&quot;0&quot;}</td><td>{0.239,0.15057,2.2734e-20,9.7432e-21,0.051032,0.021871,0.15741}</td><td>[6975, 16096]</td><td>[6976, 16095]</td></tr><tr><td>&quot;40370&quot;</td><td>&quot;16693&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002867_3695_001&quot;,&quot;16230204&quot;,&quot;1&quot;,&quot;2904509&quot;}</td><td>{&quot;FEMALE&quot;,86,&quot;WHITE&quot;,&quot;ROUTINE&quot;}</td><td>{&quot;G&quot;,&quot;47&quot;,&quot;7111&quot;,&quot;RETIRED&quot;,0.0,0.0}</td><td>{13.868218,true,false,true,&quot;BAD&quot;,&quot;VERY_HIGH&quot;,&quot;7&quot;}</td><td>{0.09,0.0333,1.2791e-31,2.9846e-31,0.000377,0.000881,0.10494}</td><td>[76, 2210, … 16114]</td><td>[77, 2211, … 16113]</td></tr><tr><td>&quot;40371&quot;</td><td>&quot;16694&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002867_3696_001&quot;,&quot;11151206&quot;,&quot;2&quot;,&quot;2903502&quot;}</td><td>{&quot;FEMALE&quot;,73,&quot;WHITE&quot;,&quot;LOWER&quot;}</td><td>{&quot;P&quot;,&quot;85&quot;,&quot;2317&quot;,&quot;RETIRED&quot;,0.0,0.0}</td><td>{36.25807,false,false,false,&quot;GOOD&quot;,&quot;VERY_HIGH&quot;,&quot;0&quot;}</td><td>{0.239,0.17686,6.1776e-20,1.4414e-19,0.028784,0.067163,0.15741}</td><td>[865, 8409, 13899]</td><td>[866, 8410, 13898]</td></tr><tr><td>&quot;40372&quot;</td><td>&quot;16694&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002867_3696_002&quot;,&quot;15310317&quot;,&quot;1&quot;,&quot;2911899&quot;}</td><td>{&quot;MALE&quot;,49,&quot;WHITE&quot;,&quot;SMALL&quot;}</td><td>{&quot;&quot;,&quot;64&quot;,&quot;4129&quot;,&quot;EMPLOYEE_FT&quot;,24939.2,8.72}</td><td>{29.348362,false,false,false,&quot;GOOD&quot;,&quot;LOW&quot;,&quot;1&quot;}</td><td>{0.279,0.17577,0.000038,0.000016,2.5972724,1.1131167,0.160325}</td><td>[1364, 1442, … 15468]</td><td>[1365, 1443, … 15467]</td></tr><tr><td>&quot;40373&quot;</td><td>&quot;16695&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002867_3697_001&quot;,&quot;21040813&quot;,&quot;2&quot;,&quot;2907641&quot;}</td><td>{&quot;FEMALE&quot;,31,&quot;WHITE&quot;,&quot;HIGHER&quot;}</td><td>{&quot;C&quot;,&quot;17&quot;,&quot;1121&quot;,&quot;EMPLOYEE_PT&quot;,6614.4136,10.600021}</td><td>{20.462511,false,false,false,&quot;GOOD&quot;,&quot;LOW&quot;,&quot;2&quot;}</td><td>{0.233,0.17242,0.85895,2.0042167,0.4264899,0.9951431,0.15741}</td><td>[14675, 15209]</td><td>[14676, 15210]</td></tr><tr><td>&quot;40374&quot;</td><td>&quot;16695&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002867_3697_002&quot;,&quot;17050102&quot;,&quot;3&quot;,&quot;2903670&quot;}</td><td>{&quot;MALE&quot;,6,&quot;WHITE&quot;,&quot;HIGHER&quot;}</td><td>{&quot;&quot;,&quot;0&quot;,&quot;0&quot;,&quot;NA&quot;,0.0,0.0}</td><td>{0.0,false,false,false,&quot;GOOD&quot;,&quot;LOW&quot;,&quot;0&quot;}</td><td>{0.257,0.16191,0.016075,0.006889,0.001361,0.000583,0.107325}</td><td>[33, 74, … 16378]</td><td>[32, 75, … 16379]</td></tr><tr><td>&quot;40375&quot;</td><td>&quot;16696&quot;</td><td>&quot;1844&quot;</td><td>{&quot;E02002867_3698_001&quot;,&quot;15150917&quot;,&quot;3&quot;,&quot;2909575&quot;}</td><td>{&quot;MALE&quot;,49,&quot;WHITE&quot;,&quot;LOWER&quot;}</td><td>{&quot;M&quot;,&quot;71&quot;,&quot;2121&quot;,&quot;EMPLOYEE_FT&quot;,58705.016,28.223564}</td><td>{21.220587,false,false,false,&quot;BAD&quot;,&quot;LOW&quot;,&quot;0&quot;}</td><td>{0.279,0.35154,0.000038,0.000016,2.5972724,1.1131167,0.160325}</td><td>[394, 801, … 16309]</td><td>[393, 802, … 16308]</td></tr><tr><td>&quot;40376&quot;</td><td>&quot;16696&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002867_3698_002&quot;,&quot;12201011&quot;,&quot;3&quot;,&quot;2911451&quot;}</td><td>{&quot;FEMALE&quot;,18,&quot;WHITE&quot;,&quot;HIGHER&quot;}</td><td>{&quot;&quot;,&quot;0&quot;,&quot;0&quot;,&quot;STUDENT_FT&quot;,0.0,0.0}</td><td>{28.680555,false,false,false,&quot;VERY_GOOD&quot;,&quot;HIGH&quot;,&quot;0&quot;}</td><td>{0.257,0.09509,1.2606351,2.941482,0.029667,0.069223,0.107325}</td><td>[194, 300, … 16281]</td><td>[195, 301, … 16280]</td></tr><tr><td>&quot;40377&quot;</td><td>&quot;16696&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002867_3698_003&quot;,&quot;15011216&quot;,&quot;3&quot;,&quot;2907739&quot;}</td><td>{&quot;MALE&quot;,16,&quot;WHITE&quot;,&quot;HIGHER&quot;}</td><td>{&quot;&quot;,&quot;0&quot;,&quot;0&quot;,&quot;STUDENT_FT&quot;,0.0,0.0}</td><td>{35.67418,false,false,false,&quot;GOOD&quot;,&quot;HIGH&quot;,&quot;0&quot;}</td><td>{0.257,0.16191,1.788871,0.766659,0.039662,0.016998,0.107325}</td><td>[56, 263, … 16331]</td><td>[57, 262, … 16330]</td></tr><tr><td>&quot;40378&quot;</td><td>&quot;16696&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002867_3698_004&quot;,&quot;12010913&quot;,&quot;4&quot;,&quot;2900261&quot;}</td><td>{&quot;FEMALE&quot;,10,&quot;WHITE&quot;,&quot;HIGHER&quot;}</td><td>{&quot;&quot;,&quot;0&quot;,&quot;0&quot;,&quot;NA&quot;,0.0,0.0}</td><td>{0.0,false,false,false,&quot;GOOD&quot;,&quot;LOW&quot;,&quot;0&quot;}</td><td>{0.257,0.09509,0.070802,0.165205,0.002528,0.005898,0.107325}</td><td>[107, 453, … 16247]</td><td>[106, 454, … 16246]</td></tr><tr><td>&quot;40379&quot;</td><td>&quot;16697&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002867_3699_001&quot;,&quot;15080612&quot;,&quot;1&quot;,&quot;2901908&quot;}</td><td>{&quot;MALE&quot;,86,&quot;WHITE&quot;,&quot;LOWER&quot;}</td><td>{&quot;O&quot;,&quot;84&quot;,&quot;2423&quot;,&quot;RETIRED&quot;,0.0,0.0}</td><td>{29.488407,false,false,false,&quot;FAIR&quot;,&quot;VERY_HIGH&quot;,&quot;7&quot;}</td><td>{0.09,0.1134,2.9846e-31,1.2791e-31,0.000881,0.000377,0.10494}</td><td>[762, 5168, … 8977]</td><td>[761, 5169, … 8976]</td></tr><tr><td>&quot;40380&quot;</td><td>&quot;16697&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002867_3699_002&quot;,&quot;19101118&quot;,&quot;3&quot;,&quot;2902903&quot;}</td><td>{&quot;MALE&quot;,28,&quot;WHITE&quot;,&quot;SUPER&quot;}</td><td>{&quot;G&quot;,&quot;47&quot;,&quot;1254&quot;,&quot;SELF_EMPLOYED&quot;,0.0,0.0}</td><td>{27.604254,false,false,false,&quot;GOOD&quot;,&quot;LOW&quot;,&quot;0&quot;}</td><td>{0.233,0.14679,3.8195925,1.6369683,0.62304,0.2670171,0.15741}</td><td>[832, 847, … 15186]</td><td>[831, 848, … 15185]</td></tr></tbody></table></div>"
+       "<small>shape: (40_381, 10)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>id</th><th>household</th><th>workplace</th><th>identifiers</th><th>demographics</th><th>employment</th><th>health</th><th>events</th><th>weekday_diaries</th><th>weekend_diaries</th></tr><tr><td>str</td><td>str</td><td>str</td><td>struct[4]</td><td>struct[4]</td><td>struct[6]</td><td>struct[7]</td><td>struct[7]</td><td>list[i64]</td><td>list[i64]</td></tr></thead><tbody><tr><td>&quot;0&quot;</td><td>&quot;0&quot;</td><td>&quot;1168&quot;</td><td>{&quot;E02002863_0001_001&quot;,&quot;17310308&quot;,&quot;2&quot;,&quot;2908614&quot;}</td><td>{&quot;MALE&quot;,44,&quot;WHITE&quot;,&quot;SEMIROUTINE&quot;}</td><td>{&quot;F&quot;,&quot;43&quot;,&quot;5241&quot;,&quot;EMPLOYEE_FT&quot;,18137.6,8.72}</td><td>{39.47709,false,false,false,&quot;GOOD&quot;,&quot;HIGH&quot;,&quot;0&quot;}</td><td>{0.255,0.16065,0.002589,0.001109,2.7350748,1.1721749,0.15741}</td><td>[1796, 2877, … 15973]</td><td>[1795, 2876, … 15974]</td></tr><tr><td>&quot;1&quot;</td><td>&quot;0&quot;</td><td>&quot;155&quot;</td><td>{&quot;E02002863_0001_002&quot;,&quot;12050117&quot;,&quot;1&quot;,&quot;2904675&quot;}</td><td>{&quot;FEMALE&quot;,41,&quot;WHITE&quot;,&quot;LOWER&quot;}</td><td>{&quot;G&quot;,&quot;47&quot;,&quot;2421&quot;,&quot;EMPLOYEE_FT&quot;,49649.953,27.280193}</td><td>{22.909258,false,false,false,&quot;GOOD&quot;,&quot;VERY_HIGH&quot;,&quot;1&quot;}</td><td>{0.255,0.1887,0.008982,0.020958,1.0750833,2.5085278,0.15741}</td><td>[289, 2183, … 15161]</td><td>[288, 2184, … 15162]</td></tr><tr><td>&quot;2&quot;</td><td>&quot;1&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002863_0002_001&quot;,&quot;11280408&quot;,&quot;2&quot;,&quot;2906341&quot;}</td><td>{&quot;MALE&quot;,68,&quot;WHITE&quot;,&quot;SUPER&quot;}</td><td>{&quot;S&quot;,&quot;96&quot;,&quot;5119&quot;,&quot;SELF_EMPLOYED&quot;,0.0,0.0}</td><td>{25.25762,false,false,false,&quot;GOOD&quot;,&quot;LOW&quot;,&quot;0&quot;}</td><td>{0.239,0.15057,8.4672e-16,3.6288e-16,0.228979,0.098134,0.15741}</td><td>[89, 677, … 16391]</td><td>[88, 678, … 16390]</td></tr><tr><td>&quot;3&quot;</td><td>&quot;1&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002863_0002_002&quot;,&quot;16110805&quot;,&quot;1&quot;,&quot;2904451&quot;}</td><td>{&quot;FEMALE&quot;,62,&quot;WHITE&quot;,&quot;NEVER&quot;}</td><td>{&quot;P&quot;,&quot;85&quot;,&quot;9244&quot;,&quot;EMPLOYEE_PT&quot;,1921.6006,9.238464}</td><td>{31.486355,false,true,true,&quot;VERY_BAD&quot;,&quot;MEDIUM&quot;,&quot;0&quot;}</td><td>{0.268,0.09916,3.5557e-12,8.2967e-12,0.309534,0.7222454,0.131175}</td><td>[2844, 5035, … 15284]</td><td>[2845, 5034, … 15283]</td></tr><tr><td>&quot;4&quot;</td><td>&quot;1&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002863_0002_003&quot;,&quot;16241112&quot;,&quot;6&quot;,&quot;2900274&quot;}</td><td>{&quot;MALE&quot;,10,&quot;WHITE&quot;,&quot;HIGHER&quot;}</td><td>{&quot;&quot;,&quot;0&quot;,&quot;0&quot;,&quot;NA&quot;,0.0,0.0}</td><td>{0.0,false,false,false,&quot;GOOD&quot;,&quot;LOW&quot;,&quot;0&quot;}</td><td>{0.257,0.16191,0.165205,0.070802,0.005898,0.002528,0.107325}</td><td>[33, 74, … 16378]</td><td>[32, 75, … 16379]</td></tr><tr><td>&quot;5&quot;</td><td>&quot;2&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002863_0003_001&quot;,&quot;15131020&quot;,&quot;2&quot;,&quot;2911137&quot;}</td><td>{&quot;MALE&quot;,59,&quot;WHITE&quot;,&quot;LOWER&quot;}</td><td>{&quot;Q&quot;,&quot;86&quot;,&quot;2215&quot;,&quot;SELF_EMPLOYED&quot;,0.0,0.0}</td><td>{36.944996,false,false,false,&quot;GOOD&quot;,&quot;HIGH&quot;,&quot;0&quot;}</td><td>{0.268,0.33768,4.9777e-10,2.1333e-10,1.1239074,0.481675,0.160325}</td><td>[473, 494, … 16164]</td><td>[474, 493, … 16163]</td></tr><tr><td>&quot;6&quot;</td><td>&quot;2&quot;</td><td>&quot;1869&quot;</td><td>{&quot;E02002863_0003_002&quot;,&quot;17050101&quot;,&quot;2&quot;,&quot;2902963&quot;}</td><td>{&quot;FEMALE&quot;,58,&quot;WHITE&quot;,&quot;INTERMEDIATE&quot;}</td><td>{&quot;M&quot;,&quot;72&quot;,&quot;3539&quot;,&quot;EMPLOYEE_PT&quot;,9068.8,8.72}</td><td>{28.937033,true,true,true,&quot;FAIR&quot;,&quot;LOW&quot;,&quot;4&quot;}</td><td>{0.268,0.19832,7.7543e-10,1.8093e-9,0.54735,1.277151,0.160325}</td><td>[2385, 4529, … 14047]</td><td>[2384, 4528, … 14046]</td></tr><tr><td>&quot;7&quot;</td><td>&quot;3&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002863_0004_001&quot;,&quot;16230616&quot;,&quot;2&quot;,&quot;2902653&quot;}</td><td>{&quot;MALE&quot;,48,&quot;WHITE&quot;,&quot;HIGHER&quot;}</td><td>{&quot;Q&quot;,&quot;88&quot;,&quot;1115&quot;,&quot;EMPLOYEE_FT&quot;,80020.63,38.47146}</td><td>{30.083155,false,false,false,&quot;GOOD&quot;,&quot;HIGH&quot;,&quot;0&quot;}</td><td>{0.279,0.35154,0.000095,0.000041,2.6761558,1.1469239,0.160325}</td><td>[1008, 1042, … 13283]</td><td>[1009, 1043, … 13282]</td></tr><tr><td>&quot;8&quot;</td><td>&quot;3&quot;</td><td>&quot;376&quot;</td><td>{&quot;E02002863_0004_002&quot;,&quot;11280707&quot;,&quot;1&quot;,&quot;2911380&quot;}</td><td>{&quot;FEMALE&quot;,48,&quot;WHITE&quot;,&quot;ROUTINE&quot;}</td><td>{&quot;G&quot;,&quot;47&quot;,&quot;7111&quot;,&quot;EMPLOYEE_PT&quot;,7501.991,9.016816}</td><td>{38.12921,false,false,false,&quot;GOOD&quot;,&quot;LOW&quot;,&quot;0&quot;}</td><td>{0.279,0.10323,0.000041,0.000095,1.1469239,2.6761558,0.160325}</td><td>[148, 385, … 15497]</td><td>[149, 386, … 15498]</td></tr><tr><td>&quot;9&quot;</td><td>&quot;4&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002863_0005_001&quot;,&quot;17051017&quot;,&quot;1&quot;,&quot;2905639&quot;}</td><td>{&quot;MALE&quot;,62,&quot;WHITE&quot;,&quot;INTERMEDIATE&quot;}</td><td>{&quot;C&quot;,&quot;21&quot;,&quot;3567&quot;,&quot;EMPLOYEE_FT&quot;,40180.01,17.170944}</td><td>{40.231823,false,false,true,&quot;VERY_GOOD&quot;,&quot;HIGH&quot;,&quot;0&quot;}</td><td>{0.268,0.33768,8.2967e-12,3.5557e-12,0.7222454,0.309534,0.160325}</td><td>[540, 970, … 15957]</td><td>[539, 971, … 15958]</td></tr><tr><td>&quot;10&quot;</td><td>&quot;4&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002863_0005_002&quot;,&quot;14210402&quot;,&quot;1&quot;,&quot;2900718&quot;}</td><td>{&quot;FEMALE&quot;,60,&quot;WHITE&quot;,&quot;SUPER&quot;}</td><td>{&quot;S&quot;,&quot;96&quot;,&quot;6221&quot;,&quot;SELF_EMPLOYED&quot;,0.0,0.0}</td><td>{29.55994,true,false,false,&quot;FAIR&quot;,&quot;HIGH&quot;,&quot;8&quot;}</td><td>{0.268,0.09916,5.6552e-11,1.3196e-10,0.41975,0.9794158,0.160325}</td><td>[245, 470, … 16123]</td><td>[244, 469, … 16124]</td></tr><tr><td>&quot;11&quot;</td><td>&quot;4&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002863_0005_003&quot;,&quot;12221218&quot;,&quot;3&quot;,&quot;2906812&quot;}</td><td>{&quot;FEMALE&quot;,16,&quot;BLACK&quot;,&quot;HIGHER&quot;}</td><td>{&quot;&quot;,&quot;0&quot;,&quot;0&quot;,&quot;STUDENT_FT&quot;,0.0,0.0}</td><td>{22.175663,false,false,false,&quot;FAIR&quot;,&quot;HIGH&quot;,&quot;2&quot;}</td><td>{0.257,0.09509,0.766659,1.788871,0.016998,0.039662,0.0567}</td><td>[194, 300, … 16281]</td><td>[195, 301, … 16280]</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>&quot;40369&quot;</td><td>&quot;16692&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002867_3694_001&quot;,&quot;43051018&quot;,&quot;1&quot;,&quot;2910322&quot;}</td><td>{&quot;MALE&quot;,74,&quot;WHITE&quot;,&quot;SMALL&quot;}</td><td>{&quot;P&quot;,&quot;85&quot;,&quot;2319&quot;,&quot;EMPLOYEE_PT&quot;,11897.178,28.598986}</td><td>{29.516066,false,false,false,&quot;GOOD&quot;,&quot;VERY_HIGH&quot;,&quot;0&quot;}</td><td>{0.239,0.15057,2.2734e-20,9.7432e-21,0.051032,0.021871,0.15741}</td><td>[6975, 16096]</td><td>[6976, 16095]</td></tr><tr><td>&quot;40370&quot;</td><td>&quot;16693&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002867_3695_001&quot;,&quot;16230204&quot;,&quot;1&quot;,&quot;2904509&quot;}</td><td>{&quot;FEMALE&quot;,86,&quot;WHITE&quot;,&quot;ROUTINE&quot;}</td><td>{&quot;G&quot;,&quot;47&quot;,&quot;7111&quot;,&quot;RETIRED&quot;,0.0,0.0}</td><td>{13.868218,true,false,true,&quot;BAD&quot;,&quot;VERY_HIGH&quot;,&quot;7&quot;}</td><td>{0.09,0.0333,1.2791e-31,2.9846e-31,0.000377,0.000881,0.10494}</td><td>[76, 2210, … 16114]</td><td>[77, 2211, … 16113]</td></tr><tr><td>&quot;40371&quot;</td><td>&quot;16694&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002867_3696_001&quot;,&quot;11151206&quot;,&quot;2&quot;,&quot;2903502&quot;}</td><td>{&quot;FEMALE&quot;,73,&quot;WHITE&quot;,&quot;LOWER&quot;}</td><td>{&quot;P&quot;,&quot;85&quot;,&quot;2317&quot;,&quot;RETIRED&quot;,0.0,0.0}</td><td>{36.25807,false,false,false,&quot;GOOD&quot;,&quot;VERY_HIGH&quot;,&quot;0&quot;}</td><td>{0.239,0.17686,6.1776e-20,1.4414e-19,0.028784,0.067163,0.15741}</td><td>[865, 8409, 13899]</td><td>[866, 8410, 13898]</td></tr><tr><td>&quot;40372&quot;</td><td>&quot;16694&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002867_3696_002&quot;,&quot;15310317&quot;,&quot;1&quot;,&quot;2911899&quot;}</td><td>{&quot;MALE&quot;,49,&quot;WHITE&quot;,&quot;SMALL&quot;}</td><td>{&quot;&quot;,&quot;64&quot;,&quot;4129&quot;,&quot;EMPLOYEE_FT&quot;,24939.2,8.72}</td><td>{29.348362,false,false,false,&quot;GOOD&quot;,&quot;LOW&quot;,&quot;1&quot;}</td><td>{0.279,0.17577,0.000038,0.000016,2.5972724,1.1131167,0.160325}</td><td>[1364, 1442, … 15468]</td><td>[1365, 1443, … 15467]</td></tr><tr><td>&quot;40373&quot;</td><td>&quot;16695&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002867_3697_001&quot;,&quot;21040813&quot;,&quot;2&quot;,&quot;2907641&quot;}</td><td>{&quot;FEMALE&quot;,31,&quot;WHITE&quot;,&quot;HIGHER&quot;}</td><td>{&quot;C&quot;,&quot;17&quot;,&quot;1121&quot;,&quot;EMPLOYEE_PT&quot;,6614.4136,10.600021}</td><td>{20.462511,false,false,false,&quot;GOOD&quot;,&quot;LOW&quot;,&quot;2&quot;}</td><td>{0.233,0.17242,0.85895,2.0042167,0.4264899,0.9951431,0.15741}</td><td>[14675, 15209]</td><td>[14676, 15210]</td></tr><tr><td>&quot;40374&quot;</td><td>&quot;16695&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002867_3697_002&quot;,&quot;17050102&quot;,&quot;3&quot;,&quot;2903670&quot;}</td><td>{&quot;MALE&quot;,6,&quot;WHITE&quot;,&quot;HIGHER&quot;}</td><td>{&quot;&quot;,&quot;0&quot;,&quot;0&quot;,&quot;NA&quot;,0.0,0.0}</td><td>{0.0,false,false,false,&quot;GOOD&quot;,&quot;LOW&quot;,&quot;0&quot;}</td><td>{0.257,0.16191,0.016075,0.006889,0.001361,0.000583,0.107325}</td><td>[33, 74, … 16378]</td><td>[32, 75, … 16379]</td></tr><tr><td>&quot;40375&quot;</td><td>&quot;16696&quot;</td><td>&quot;1844&quot;</td><td>{&quot;E02002867_3698_001&quot;,&quot;15150917&quot;,&quot;3&quot;,&quot;2909575&quot;}</td><td>{&quot;MALE&quot;,49,&quot;WHITE&quot;,&quot;LOWER&quot;}</td><td>{&quot;M&quot;,&quot;71&quot;,&quot;2121&quot;,&quot;EMPLOYEE_FT&quot;,58705.016,28.223564}</td><td>{21.220587,false,false,false,&quot;BAD&quot;,&quot;LOW&quot;,&quot;0&quot;}</td><td>{0.279,0.35154,0.000038,0.000016,2.5972724,1.1131167,0.160325}</td><td>[394, 801, … 16309]</td><td>[393, 802, … 16308]</td></tr><tr><td>&quot;40376&quot;</td><td>&quot;16696&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002867_3698_002&quot;,&quot;12201011&quot;,&quot;3&quot;,&quot;2911451&quot;}</td><td>{&quot;FEMALE&quot;,18,&quot;WHITE&quot;,&quot;HIGHER&quot;}</td><td>{&quot;&quot;,&quot;0&quot;,&quot;0&quot;,&quot;STUDENT_FT&quot;,0.0,0.0}</td><td>{28.680555,false,false,false,&quot;VERY_GOOD&quot;,&quot;HIGH&quot;,&quot;0&quot;}</td><td>{0.257,0.09509,1.2606351,2.941482,0.029667,0.069223,0.107325}</td><td>[194, 300, … 16281]</td><td>[195, 301, … 16280]</td></tr><tr><td>&quot;40377&quot;</td><td>&quot;16696&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002867_3698_003&quot;,&quot;15011216&quot;,&quot;3&quot;,&quot;2907739&quot;}</td><td>{&quot;MALE&quot;,16,&quot;WHITE&quot;,&quot;HIGHER&quot;}</td><td>{&quot;&quot;,&quot;0&quot;,&quot;0&quot;,&quot;STUDENT_FT&quot;,0.0,0.0}</td><td>{35.67418,false,false,false,&quot;GOOD&quot;,&quot;HIGH&quot;,&quot;0&quot;}</td><td>{0.257,0.16191,1.788871,0.766659,0.039662,0.016998,0.107325}</td><td>[56, 263, … 16331]</td><td>[57, 262, … 16330]</td></tr><tr><td>&quot;40378&quot;</td><td>&quot;16696&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002867_3698_004&quot;,&quot;12010913&quot;,&quot;4&quot;,&quot;2900261&quot;}</td><td>{&quot;FEMALE&quot;,10,&quot;WHITE&quot;,&quot;HIGHER&quot;}</td><td>{&quot;&quot;,&quot;0&quot;,&quot;0&quot;,&quot;NA&quot;,0.0,0.0}</td><td>{0.0,false,false,false,&quot;GOOD&quot;,&quot;LOW&quot;,&quot;0&quot;}</td><td>{0.257,0.09509,0.070802,0.165205,0.002528,0.005898,0.107325}</td><td>[107, 453, … 16247]</td><td>[106, 454, … 16246]</td></tr><tr><td>&quot;40379&quot;</td><td>&quot;16697&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002867_3699_001&quot;,&quot;15080612&quot;,&quot;1&quot;,&quot;2901908&quot;}</td><td>{&quot;MALE&quot;,86,&quot;WHITE&quot;,&quot;LOWER&quot;}</td><td>{&quot;O&quot;,&quot;84&quot;,&quot;2423&quot;,&quot;RETIRED&quot;,0.0,0.0}</td><td>{29.488407,false,false,false,&quot;FAIR&quot;,&quot;VERY_HIGH&quot;,&quot;7&quot;}</td><td>{0.09,0.1134,2.9846e-31,1.2791e-31,0.000881,0.000377,0.10494}</td><td>[762, 5168, … 8977]</td><td>[761, 5169, … 8976]</td></tr><tr><td>&quot;40380&quot;</td><td>&quot;16697&quot;</td><td>&quot;0&quot;</td><td>{&quot;E02002867_3699_002&quot;,&quot;19101118&quot;,&quot;3&quot;,&quot;2902903&quot;}</td><td>{&quot;MALE&quot;,28,&quot;WHITE&quot;,&quot;SUPER&quot;}</td><td>{&quot;G&quot;,&quot;47&quot;,&quot;1254&quot;,&quot;SELF_EMPLOYED&quot;,0.0,0.0}</td><td>{27.604254,false,false,false,&quot;GOOD&quot;,&quot;LOW&quot;,&quot;0&quot;}</td><td>{0.233,0.14679,3.8195925,1.6369683,0.62304,0.2670171,0.15741}</td><td>[832, 847, … 15186]</td><td>[831, 848, … 15185]</td></tr></tbody></table></div>"
       ],
       "text/plain": [
        "shape: (40_381, 10)\n",
        "┌───────┬───────────┬───────────┬────────────┬───┬────────────┬────────────┬───────────┬───────────┐\n",
-       "│ id    ┆ household ┆ workplace ┆ identifier ┆ … ┆ health     ┆ events     ┆ weekdayDi ┆ weekendDi │\n",
-       "│ ---   ┆ ---       ┆ ---       ┆ s          ┆   ┆ ---        ┆ ---        ┆ aries     ┆ aries     │\n",
+       "│ id    ┆ household ┆ workplace ┆ identifier ┆ … ┆ health     ┆ events     ┆ weekday_d ┆ weekend_d │\n",
+       "│ ---   ┆ ---       ┆ ---       ┆ s          ┆   ┆ ---        ┆ ---        ┆ iaries    ┆ iaries    │\n",
        "│ str   ┆ str       ┆ str       ┆ ---        ┆   ┆ struct[7]  ┆ struct[7]  ┆ ---       ┆ ---       │\n",
        "│       ┆           ┆           ┆ struct[4]  ┆   ┆            ┆            ┆ list[i64] ┆ list[i64] │\n",
        "╞═══════╪═══════════╪═══════════╪════════════╪═══╪════════════╪════════════╪═══════════╪═══════════╡\n",
@@ -84,7 +85,15 @@
        "│       ┆           ┆           ┆ 3_0002_002 ┆   ┆ ,false,tru ┆ 9916,3.555 ┆ 5035, …   ┆ 5034, …   │\n",
        "│       ┆           ┆           ┆ \",\"1611080 ┆   ┆ e,true,\"VE ┆ 7e-12,8.29 ┆ 15284]    ┆ 15283]    │\n",
        "│       ┆           ┆           ┆ 5\"…        ┆   ┆ RY…        ┆ 67…        ┆           ┆           │\n",
+       "│ 4     ┆ 1         ┆ 0         ┆ {\"E0200286 ┆ … ┆ {0.0,false ┆ {0.257,0.1 ┆ [33, 74,  ┆ [32, 75,  │\n",
+       "│       ┆           ┆           ┆ 3_0002_003 ┆   ┆ ,false,fal ┆ 6191,0.165 ┆ … 16378]  ┆ … 16379]  │\n",
+       "│       ┆           ┆           ┆ \",\"1624111 ┆   ┆ se,\"GOOD\", ┆ 205,0.0708 ┆           ┆           │\n",
+       "│       ┆           ┆           ┆ 2\"…        ┆   ┆ \"L…        ┆ 02…        ┆           ┆           │\n",
        "│ …     ┆ …         ┆ …         ┆ …          ┆ … ┆ …          ┆ …          ┆ …         ┆ …         │\n",
+       "│ 40376 ┆ 16696     ┆ 0         ┆ {\"E0200286 ┆ … ┆ {28.680555 ┆ {0.257,0.0 ┆ [194,     ┆ [195,     │\n",
+       "│       ┆           ┆           ┆ 7_3698_002 ┆   ┆ ,false,fal ┆ 9509,1.260 ┆ 300, …    ┆ 301, …    │\n",
+       "│       ┆           ┆           ┆ \",\"1220101 ┆   ┆ se,false,\" ┆ 6351,2.941 ┆ 16281]    ┆ 16280]    │\n",
+       "│       ┆           ┆           ┆ 1\"…        ┆   ┆ VE…        ┆ 48…        ┆           ┆           │\n",
        "│ 40377 ┆ 16696     ┆ 0         ┆ {\"E0200286 ┆ … ┆ {35.67418, ┆ {0.257,0.1 ┆ [56, 263, ┆ [57, 262, │\n",
        "│       ┆           ┆           ┆ 7_3698_003 ┆   ┆ false,fals ┆ 6191,1.788 ┆ … 16331]  ┆ … 16330]  │\n",
        "│       ┆           ┆           ┆ \",\"1501121 ┆   ┆ e,false,\"G ┆ 871,0.7666 ┆           ┆           │\n",
@@ -123,15 +132,15 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 136 ms, sys: 28.8 ms, total: 165 ms\n",
-      "Wall time: 104 ms\n"
+      "CPU times: user 98.5 ms, sys: 23.4 ms, total: 122 ms\n",
+      "Wall time: 94.9 ms\n"
      ]
     }
    ],
    "source": [
     "%%time\n",
     "# Read from parquet and JSON\n",
-    "spc = SPCReader(path, region, input_type=\"parquet\")"
+    "spc = Reader(path, region, input_type=\"parquet\")"
    ]
   },
   {
@@ -143,9 +152,10 @@
      "data": {
       "text/html": [
        "<div><style>\n",
-       ".dataframe > thead > tr > th,\n",
-       ".dataframe > tbody > tr > td {\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
        "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
        "}\n",
        "</style>\n",
        "<small>shape: (5, 5)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>id</th><th>msoa</th><th>oa</th><th>members</th><th>details</th></tr><tr><td>u64</td><td>str</td><td>str</td><td>list[u64]</td><td>struct[8]</td></tr></thead><tbody><tr><td>0</td><td>&quot;E02002863&quot;</td><td>&quot;E00069595&quot;</td><td>[0, 1]</td><td>{&quot;E02002863_0001&quot;,6,1,null,6,true,1,1}</td></tr><tr><td>1</td><td>&quot;E02002863&quot;</td><td>&quot;E00069551&quot;</td><td>[2, 3, 4]</td><td>{&quot;E02002863_0002&quot;,5,3,null,5,true,5,2}</td></tr><tr><td>2</td><td>&quot;E02002863&quot;</td><td>&quot;E00069564&quot;</td><td>[5, 6]</td><td>{&quot;E02002863_0003&quot;,2,2,null,6,true,1,1}</td></tr><tr><td>3</td><td>&quot;E02002863&quot;</td><td>&quot;E00069558&quot;</td><td>[7, 8]</td><td>{&quot;E02002863_0004&quot;,1,1,null,6,true,1,2}</td></tr><tr><td>4</td><td>&quot;E02002863&quot;</td><td>&quot;E00172626&quot;</td><td>[9, 10, 11]</td><td>{&quot;E02002863_0005&quot;,3,2,null,4,true,5,2}</td></tr></tbody></table></div>"
@@ -179,7 +189,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "#### Use `SPCReader` to explore Greater London\n",
+    "#### Use `Reader` to explore Greater London\n",
     "\n",
     "Reading directly from protobuf is memory intensive in python. We explore reading from parquet and JSON outputs.\n"
    ]
@@ -193,15 +203,15 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 29.1 s, sys: 6.48 s, total: 35.6 s\n",
-      "Wall time: 22.5 s\n"
+      "CPU times: user 23.2 s, sys: 6.77 s, total: 30 s\n",
+      "Wall time: 18.5 s\n"
      ]
     }
    ],
    "source": [
     "%%time\n",
     "region = \"greater-london\"\n",
-    "spc = SPCReader(path, region, input_type=\"parquet\")"
+    "spc = Reader(path, region, input_type=\"parquet\")"
    ]
   },
   {
@@ -213,9 +223,10 @@
      "data": {
       "text/html": [
        "<div><style>\n",
-       ".dataframe > thead > tr > th,\n",
-       ".dataframe > tbody > tr > td {\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
        "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
        "}\n",
        "</style>\n",
        "<small>shape: (8_992_494, 11)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>id</th><th>household</th><th>workplace</th><th>location</th><th>identifiers</th><th>demographics</th><th>employment</th><th>health</th><th>events</th><th>weekday_diaries</th><th>weekend_diaries</th></tr><tr><td>u64</td><td>u64</td><td>u64</td><td>struct[2]</td><td>struct[4]</td><td>struct[4]</td><td>struct[6]</td><td>struct[7]</td><td>struct[7]</td><td>list[u64]</td><td>list[u64]</td></tr></thead><tbody><tr><td>0</td><td>0</td><td>304943</td><td>{-0.094911,51.520271}</td><td>{&quot;E02000001_0001_001&quot;,18250817,1,2906288}</td><td>{2,24,1,3}</td><td>{&quot;M&quot;,73,3542,1,30180.455078,14.509834}</td><td>{10.977674,false,false,false,0,2,4}</td><td>{0.257,0.19018,2.301214,5.369498,0.124697,0.290959,0.131175}</td><td>[45, 82, … 15830]</td><td>[44, 83, … 15831]</td></tr><tr><td>1</td><td>1</td><td>301389</td><td>{-0.094911,51.520271}</td><td>{&quot;E02000001_0002_001&quot;,16080617,2,2908751}</td><td>{1,30,1,1}</td><td>{&quot;G&quot;,47,1136,1,104177.992188,50.085575}</td><td>{21.990398,false,false,false,0,2,2}</td><td>{0.233,0.29358,2.578756,1.105181,0.859701,0.368443,0.15741}</td><td>[821, 2417, … 12483]</td><td>[822, 2416, … 12484]</td></tr><tr><td>2</td><td>2</td><td>304317</td><td>{-0.094911,51.520271}</td><td>{&quot;E02000001_0003_001&quot;,11280414,1,2901805}</td><td>{2,56,1,1}</td><td>{&quot;F&quot;,41,1131,2,19482.681641,37.466698}</td><td>{17.328594,false,false,true,0,2,4}</td><td>{0.268,0.19832,9.1665e-9,2.1388e-8,0.686331,1.601439,0.160325}</td><td>[1499]</td><td>[1498]</td></tr><tr><td>3</td><td>2</td><td>null</td><td>{-0.094911,51.520271}</td><td>{&quot;E02000001_0003_002&quot;,17250817,3,2900999}</td><td>{1,16,1,null}</td><td>{null,null,null,8,null,null}</td><td>{18.662384,false,false,false,null,1,4}</td><td>{0.257,0.16191,1.788871,0.766659,0.039662,0.016998,0.107325}</td><td>[56, 263, … 16331]</td><td>[57, 262, … 16330]</td></tr><tr><td>4</td><td>3</td><td>null</td><td>{-0.094911,51.520271}</td><td>{&quot;E02000001_0004_001&quot;,19061012,1,2905404}</td><td>{1,33,1,4}</td><td>{&quot;O&quot;,84,3312,1,49163.976562,23.636528}</td><td>{27.512779,false,false,false,null,1,null}</td><td>{0.233,0.14679,1.083152,0.464208,1.294811,0.554919,0.15741}</td><td>[424, 2364, … 15593]</td><td>[423, 2365, … 15592]</td></tr><tr><td>5</td><td>4</td><td>27197</td><td>{-0.094911,51.520271}</td><td>{&quot;E02000001_0005_001&quot;,17050120,2,2908068}</td><td>{1,27,1,2}</td><td>{&quot;P&quot;,85,2114,1,45907.503906,23.232542}</td><td>{17.197704,false,false,false,0,2,3}</td><td>{0.233,0.29358,4.397019,1.884437,0.522664,0.223999,0.15741}</td><td>[487, 984, … 15878]</td><td>[488, 985, … 15879]</td></tr><tr><td>6</td><td>4</td><td>305274</td><td>{-0.094911,51.520271}</td><td>{&quot;E02000001_0005_002&quot;,13260101,4,2905873}</td><td>{2,27,1,1}</td><td>{&quot;M&quot;,71,1133,1,40155.132812,19.305353}</td><td>{34.439724,false,false,false,null,2,null}</td><td>{0.233,0.17242,1.884437,4.397019,0.223999,0.522664,0.15741}</td><td>[1241, 4222, … 6877]</td><td>[1240, 4221, … 6876]</td></tr><tr><td>7</td><td>5</td><td>null</td><td>{-0.094911,51.520271}</td><td>{&quot;E02000001_0006_001&quot;,13070704,2,2908054}</td><td>{1,26,1,4}</td><td>{&quot;Q&quot;,86,6141,8,null,null}</td><td>{26.246494,false,false,false,null,1,3}</td><td>{0.233,0.14679,4.877435,2.090329,0.434187,0.18608,0.15741}</td><td>[3575]</td><td>[3576]</td></tr><tr><td>8</td><td>5</td><td>null</td><td>{-0.094911,51.520271}</td><td>{&quot;E02000001_0006_002&quot;,15131017,1,2905873}</td><td>{2,26,1,2}</td><td>{&quot;O&quot;,84,2424,2,33411.027344,35.695541}</td><td>{35.971237,false,false,false,null,2,null}</td><td>{0.233,0.17242,2.090329,4.877435,0.18608,0.434187,0.15741}</td><td>[6529, 13433, 14069]</td><td>[6528, 13432, 14068]</td></tr><tr><td>9</td><td>5</td><td>null</td><td>{-0.094911,51.520271}</td><td>{&quot;E02000001_0006_003&quot;,16061010,3,2907265}</td><td>{2,13,1,null}</td><td>{null,null,null,0,null,null}</td><td>{null,false,false,false,null,2,null}</td><td>{0.257,0.09509,0.275303,0.642374,0.00685,0.015984,0.107325}</td><td>[303, 330, … 16298]</td><td>[302, 329, … 16299]</td></tr><tr><td>10</td><td>5</td><td>null</td><td>{-0.094911,51.520271}</td><td>{&quot;E02000001_0006_004&quot;,17230207,3,2903756}</td><td>{2,8,1,null}</td><td>{null,null,null,0,null,null}</td><td>{null,false,false,false,null,1,null}</td><td>{0.257,0.09509,0.023786,0.055502,0.001238,0.002889,0.107325}</td><td>[107, 453, … 16247]</td><td>[106, 454, … 16246]</td></tr><tr><td>11</td><td>5</td><td>null</td><td>{-0.094911,51.520271}</td><td>{&quot;E02000001_0006_005&quot;,12160305,4,2904978}</td><td>{2,6,1,null}</td><td>{null,null,null,0,null,null}</td><td>{null,false,false,false,null,1,null}</td><td>{0.257,0.09509,0.006889,0.016075,0.000583,0.001361,0.107325}</td><td>[107, 453, … 16247]</td><td>[106, 454, … 16246]</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>8992482</td><td>3578609</td><td>558573</td><td>{-0.013057,51.480461}</td><td>{&quot;E02006931_4574_001&quot;,17160309,2,2909105}</td><td>{1,52,1,8}</td><td>{&quot;H&quot;,49,8211,1,44050.753906,15.983582}</td><td>{28.367889,false,false,false,0,1,4}</td><td>{0.279,0.17577,0.000002,8.2078e-7,2.238851,0.959507,0.131175}</td><td>[219, 304, … 15980]</td><td>[218, 305, … 15979]</td></tr><tr><td>8992483</td><td>3578610</td><td>null</td><td>{-0.014257,51.47649}</td><td>{&quot;E02006931_4575_001&quot;,19050517,1,2908911}</td><td>{2,50,1,1}</td><td>{&quot;C&quot;,28,1121,1,151821.0,58.392693}</td><td>{20.457548,false,false,false,0,1,3}</td><td>{0.279,0.20646,0.000006,0.000015,1.069781,2.496156,0.160325}</td><td>[50, 2941, … 12389]</td><td>[51, 2940, … 12388]</td></tr><tr><td>8992484</td><td>3578610</td><td>null</td><td>{-0.014257,51.47649}</td><td>{&quot;E02006931_4575_002&quot;,15230302,1,2901392}</td><td>{1,43,1,1}</td><td>{&quot;D&quot;,35,1121,1,56643.34375,24.206558}</td><td>{24.669569,false,true,false,3,2,3}</td><td>{0.255,0.3213,0.005394,0.002312,2.683516,1.150078,0.15741}</td><td>[2335, 3561, … 13533]</td><td>[2334, 3562, … 13532]</td></tr><tr><td>8992485</td><td>3578611</td><td>559812</td><td>{-0.020513,51.47361}</td><td>{&quot;E02006931_4576_001&quot;,17031107,2,2900843}</td><td>{1,33,1,1}</td><td>{&quot;P&quot;,85,1251,2,9975.679688,8.72}</td><td>{33.471321,false,false,false,0,2,3}</td><td>{0.233,0.29358,1.083152,0.464208,1.294811,0.554919,0.15741}</td><td>[9211]</td><td>[9210]</td></tr><tr><td>8992486</td><td>3578611</td><td>268364</td><td>{-0.020513,51.47361}</td><td>{&quot;E02006931_4576_002&quot;,21080602,2,2900852}</td><td>{2,25,2,2}</td><td>{&quot;J&quot;,62,3545,1,28769.066406,14.952737}</td><td>{17.826275,false,false,false,null,1,4}</td><td>{0.233,0.17242,2.234292,5.213347,0.153075,0.357174,0.08316}</td><td>[337, 485, … 16344]</td><td>[338, 486, … 16345]</td></tr><tr><td>8992487</td><td>3578611</td><td>null</td><td>{-0.020513,51.47361}</td><td>{&quot;E02006931_4576_003&quot;,18011208,4,2908419}</td><td>{2,8,1,null}</td><td>{null,null,null,0,null,null}</td><td>{null,false,false,false,null,2,null}</td><td>{0.257,0.09509,0.023786,0.055502,0.001238,0.002889,0.107325}</td><td>[107, 453, … 16247]</td><td>[106, 454, … 16246]</td></tr><tr><td>8992488</td><td>3578612</td><td>null</td><td>{-0.013789,51.472839}</td><td>{&quot;E02006931_4577_001&quot;,17011213,2,2907950}</td><td>{1,69,1,null}</td><td>{null,null,null,6,null,null}</td><td>{23.198483,false,false,false,8,1,4}</td><td>{0.239,0.15057,1.6076e-16,6.8895e-17,0.182711,0.078305,0.12879}</td><td>[351, 1333, … 16242]</td><td>[352, 1332, … 16243]</td></tr><tr><td>8992489</td><td>3578612</td><td>null</td><td>{-0.013789,51.472839}</td><td>{&quot;E02006931_4577_002&quot;,18230606,1,2904759}</td><td>{2,67,1,7}</td><td>{&quot;G&quot;,47,7112,6,null,null}</td><td>{30.677389,false,false,false,null,2,null}</td><td>{0.239,0.08843,1.8417e-15,4.2974e-15,0.121786,0.284167,0.15741}</td><td>[6, 220, … 16226]</td><td>[7, 221, … 16227]</td></tr><tr><td>8992490</td><td>3578613</td><td>null</td><td>{-0.013631,51.479382}</td><td>{&quot;E02006931_4578_001&quot;,14140704,2,2906737}</td><td>{2,64,1,3}</td><td>{&quot;P&quot;,85,3564,6,null,null}</td><td>{36.44878,true,true,true,8,2,2}</td><td>{0.268,0.19832,1.9274e-13,4.4973e-13,0.219492,0.512148,0.160325}</td><td>[370, 704, … 16402]</td><td>[369, 703, … 16403]</td></tr><tr><td>8992491</td><td>3578614</td><td>null</td><td>{-0.014714,51.469028}</td><td>{&quot;E02006931_4579_001&quot;,35051015,3,2907707}</td><td>{2,23,1,1}</td><td>{&quot;O&quot;,84,1171,1,72634.929688,31.040567}</td><td>{20.645615,false,false,false,0,2,2}</td><td>{0.257,0.19018,2.283841,5.328962,0.10059,0.23471,0.131175}</td><td>[5633, 15844]</td><td>[5632, 15845]</td></tr><tr><td>8992492</td><td>3578614</td><td>null</td><td>{-0.014714,51.469028}</td><td>{&quot;E02006931_4579_002&quot;,20150919,4,2906384}</td><td>{1,5,1,null}</td><td>{null,null,null,0,null,null}</td><td>{null,false,false,false,null,1,null}</td><td>{0.257,0.16191,0.008183,0.003507,0.000921,0.000395,0.107325}</td><td>[33, 74, … 16378]</td><td>[32, 75, … 16379]</td></tr><tr><td>8992493</td><td>3578615</td><td>null</td><td>{-0.01084,51.476082}</td><td>{&quot;E02006931_4580_001&quot;,14280420,1,2905476}</td><td>{1,74,1,2}</td><td>{&quot;P&quot;,85,2311,6,null,null}</td><td>{26.505301,true,false,false,5,1,4}</td><td>{0.239,0.30114,2.2734e-20,9.7432e-21,0.051032,0.021871,0.15741}</td><td>[312, 790, … 16233]</td><td>[313, 789, … 16232]</td></tr></tbody></table></div>"
@@ -244,7 +255,15 @@
        "│         ┆           ┆           ┆ ,51.520271 ┆   ┆ 4,false,f ┆ 16191,1.7 ┆ … 16331]  ┆ … 16330]  │\n",
        "│         ┆           ┆           ┆ }          ┆   ┆ alse,fals ┆ 88871,0.7 ┆           ┆           │\n",
        "│         ┆           ┆           ┆            ┆   ┆ e,nul…    ┆ 66659…    ┆           ┆           │\n",
+       "│ 4       ┆ 3         ┆ null      ┆ {-0.094911 ┆ … ┆ {27.51277 ┆ {0.233,0. ┆ [424,     ┆ [423,     │\n",
+       "│         ┆           ┆           ┆ ,51.520271 ┆   ┆ 9,false,f ┆ 14679,1.0 ┆ 2364, …   ┆ 2365, …   │\n",
+       "│         ┆           ┆           ┆ }          ┆   ┆ alse,fals ┆ 83152,0.4 ┆ 15593]    ┆ 15592]    │\n",
+       "│         ┆           ┆           ┆            ┆   ┆ e,nul…    ┆ 64208…    ┆           ┆           │\n",
        "│ …       ┆ …         ┆ …         ┆ …          ┆ … ┆ …         ┆ …         ┆ …         ┆ …         │\n",
+       "│ 8992489 ┆ 3578612   ┆ null      ┆ {-0.013789 ┆ … ┆ {30.67738 ┆ {0.239,0. ┆ [6, 220,  ┆ [7, 221,  │\n",
+       "│         ┆           ┆           ┆ ,51.472839 ┆   ┆ 9,false,f ┆ 08843,1.8 ┆ … 16226]  ┆ … 16227]  │\n",
+       "│         ┆           ┆           ┆ }          ┆   ┆ alse,fals ┆ 417e-15,4 ┆           ┆           │\n",
+       "│         ┆           ┆           ┆            ┆   ┆ e,nul…    ┆ .2974…    ┆           ┆           │\n",
        "│ 8992490 ┆ 3578613   ┆ null      ┆ {-0.013631 ┆ … ┆ {36.44878 ┆ {0.268,0. ┆ [370,     ┆ [369,     │\n",
        "│         ┆           ┆           ┆ ,51.479382 ┆   ┆ ,true,tru ┆ 19832,1.9 ┆ 704, …    ┆ 703, …    │\n",
        "│         ┆           ┆           ┆ }          ┆   ┆ e,true,8, ┆ 274e-13,4 ┆ 16402]    ┆ 16403]    │\n",
@@ -281,7 +300,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -306,7 +325,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -321,7 +340,7 @@
     "    spc.people.unnest(\"demographics\")\n",
     "    .unnest(\"health\")\n",
     "    .select([\"age_years\", \"bmi\"])\n",
-    "    .filter(pl.col(\"bmi\") != None)\n",
+    "    .filter(pl.col(\"bmi\").is_not_null())\n",
     "    .to_numpy()\n",
     ")\n",
     "plt.hist2d(age_bmi[:, 0], age_bmi[:, 1], bins=[np.arange(10, 100), np.arange(0, 60)])\n",
diff --git a/python/examples/spc_reader_exploratory.ipynb b/python/examples/spc_reader_exploratory.ipynb
index 5406444..11b148b 100644
--- a/python/examples/spc_reader_exploratory.ipynb
+++ b/python/examples/spc_reader_exploratory.ipynb
@@ -16,13 +16,11 @@
     "import os\n",
     "import matplotlib.pyplot as plt\n",
     "import polars as pl\n",
-    "import polars.selectors as cs\n",
     "import numpy as np\n",
     "import seaborn as sns\n",
     "import plotly.express as px\n",
-    "import statsmodels.formula.api as smf\n",
     "from sklearn.cluster import KMeans\n",
-    "from uatk_spc.reader import SPCReader\n",
+    "from uatk_spc.reader import Reader\n",
     "import warnings\n",
     "\n",
     "warnings.filterwarnings(\"ignore\")"
@@ -71,7 +69,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "spc = SPCReader(path, region, backend=\"polars\")"
+    "spc = Reader(path, region, backend=\"polars\")"
    ]
   },
   {
@@ -90,12 +88,13 @@
      "data": {
       "text/html": [
        "<div><style>\n",
-       ".dataframe > thead > tr > th,\n",
-       ".dataframe > tbody > tr > td {\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
        "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
        "}\n",
        "</style>\n",
-       "<small>shape: (5, 11)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>id</th><th>household</th><th>workplace</th><th>location</th><th>identifiers</th><th>demographics</th><th>employment</th><th>health</th><th>events</th><th>weekday_diaries</th><th>weekend_diaries</th></tr><tr><td>u64</td><td>u64</td><td>u64</td><td>struct[2]</td><td>struct[4]</td><td>struct[4]</td><td>struct[6]</td><td>struct[7]</td><td>struct[7]</td><td>list[u64]</td><td>list[u64]</td></tr></thead><tbody><tr><td>0</td><td>0</td><td>null</td><td>{-0.292946,52.133789}</td><td>{&quot;E02003599_0001_001&quot;,11180818,1,2904017}</td><td>{2,40,1,6}</td><td>{&quot;C&quot;,30,8133,7,null,null}</td><td>{37.280968,false,false,false,null,1,3}</td><td>{0.255,0.09435,0.016746,0.039074,1.024287,2.390004,0.15741}</td><td>[1030, 1260, 5319]</td><td>[1031, 1261, 5318]</td></tr><tr><td>1</td><td>0</td><td>88</td><td>{-0.292946,52.133789}</td><td>{&quot;E02003599_0001_002&quot;,14061013,2,2905699}</td><td>{1,39,1,1}</td><td>{&quot;M&quot;,69,1132,1,127906.320312,70.278198}</td><td>{35.771095,false,false,false,null,2,3}</td><td>{0.255,0.3213,0.070199,0.030085,2.254896,0.966384,0.15741}</td><td>[2832, 7805, … 14038]</td><td>[2833, 7804, … 14039]</td></tr><tr><td>2</td><td>0</td><td>null</td><td>{-0.292946,52.133789}</td><td>{&quot;E02003599_0001_003&quot;,16230603,4,2909186}</td><td>{2,7,1,null}</td><td>{null,null,null,0,null,null}</td><td>{null,false,false,false,null,1,null}</td><td>{0.257,0.09509,0.013041,0.030429,0.000854,0.001993,0.107325}</td><td>[107, 453, … 16247]</td><td>[106, 454, … 16246]</td></tr><tr><td>3</td><td>1</td><td>null</td><td>{-0.292673,52.131351}</td><td>{&quot;E02003599_0002_001&quot;,18151205,2,2905565}</td><td>{1,66,1,4}</td><td>{&quot;O&quot;,84,3313,6,null,null}</td><td>{34.354729,true,true,true,4,4,3}</td><td>{0.239,0.15057,2.1016e-14,9.0070e-15,0.34922,0.149666,0.15741}</td><td>[513, 1819, … 15923]</td><td>[514, 1818, … 15924]</td></tr><tr><td>4</td><td>1</td><td>48941</td><td>{-0.292673,52.131351}</td><td>{&quot;E02003599_0002_002&quot;,11090209,1,2902895}</td><td>{2,60,1,1}</td><td>{&quot;P&quot;,85,1135,1,64961.53125,33.76379}</td><td>{20.597435,false,false,false,null,3,null}</td><td>{0.268,0.19832,5.6552e-11,1.3196e-10,0.41975,0.979416,0.160325}</td><td>[538, 7588, … 14060]</td><td>[537, 7589, … 14061]</td></tr></tbody></table></div>"
+       "<small>shape: (5, 11)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>id</th><th>household</th><th>workplace</th><th>location</th><th>identifiers</th><th>demographics</th><th>employment</th><th>health</th><th>events</th><th>weekday_diaries</th><th>weekend_diaries</th></tr><tr><td>u64</td><td>u64</td><td>u64</td><td>struct[2]</td><td>struct[4]</td><td>struct[4]</td><td>struct[6]</td><td>struct[7]</td><td>struct[7]</td><td>list[u64]</td><td>list[u64]</td></tr></thead><tbody><tr><td>0</td><td>0</td><td>null</td><td>{-0.287697,52.622196}</td><td>{&quot;E02003237_0001_001&quot;,20120504,1,2907770}</td><td>{2,64,1,2}</td><td>{&quot;Q&quot;,86,2112,6,null,null}</td><td>{33.83572,true,false,true,4,4,1}</td><td>{0.268,0.19832,1.9274e-13,4.4973e-13,0.219492,0.512148,0.160325}</td><td>[484, 5336, … 14013]</td><td>[483, 5337, … 14012]</td></tr><tr><td>1</td><td>0</td><td>110263</td><td>{-0.287697,52.622196}</td><td>{&quot;E02003237_0001_002&quot;,11050508,2,2902981}</td><td>{1,63,1,2}</td><td>{&quot;C&quot;,30,2133,1,40137.558594,22.053602}</td><td>{27.844835,false,false,false,3,3,3}</td><td>{0.268,0.33768,1.9678e-12,8.4334e-13,0.611176,0.261932,0.160325}</td><td>[235, 816, … 16212]</td><td>[234, 815, … 16211]</td></tr><tr><td>2</td><td>0</td><td>94582</td><td>{-0.287697,52.622196}</td><td>{&quot;E02003237_0001_003&quot;,18220910,2,2905963}</td><td>{2,16,1,7}</td><td>{&quot;G&quot;,47,7111,2,6708.0,6.45}</td><td>{23.245779,false,false,false,0,2,3}</td><td>{0.257,0.09509,0.766659,1.788871,0.016998,0.039662,0.131175}</td><td>[400, 1321, … 16148]</td><td>[399, 1320, … 16147]</td></tr><tr><td>3</td><td>1</td><td>null</td><td>{-0.280472,52.61948}</td><td>{&quot;E02003237_0002_001&quot;,18050513,1,2910157}</td><td>{1,86,1,7}</td><td>{&quot;C&quot;,25,8125,6,null,null}</td><td>{26.839546,true,false,true,6,2,4}</td><td>{0.09,0.0567,2.9846e-31,1.2791e-31,0.000881,0.000377,0.10494}</td><td>[9656, 10928, 11338]</td><td>[9655, 10929, 11339]</td></tr><tr><td>4</td><td>2</td><td>null</td><td>{-0.281934,52.621067}</td><td>{&quot;E02003237_0003_001&quot;,12290907,2,2903621}</td><td>{2,43,1,3}</td><td>{&quot;Q&quot;,86,2231,7,null,null}</td><td>{16.375051,false,false,false,null,2,null}</td><td>{0.255,0.1887,0.002312,0.005394,1.150078,2.683516,0.15741}</td><td>[2272, 3206, … 16310]</td><td>[2273, 3207, … 16311]</td></tr></tbody></table></div>"
       ],
       "text/plain": [
        "shape: (5, 11)\n",
@@ -105,26 +104,26 @@
        "│ u64 ┆ u64       ┆ u64       ┆ struct[2]  ┆   ┆ struct[7]  ┆ struct[7]  ┆ ---        ┆ ---        │\n",
        "│     ┆           ┆           ┆            ┆   ┆            ┆            ┆ list[u64]  ┆ list[u64]  │\n",
        "╞═════╪═══════════╪═══════════╪════════════╪═══╪════════════╪════════════╪════════════╪════════════╡\n",
-       "│ 0   ┆ 0         ┆ null      ┆ {-0.292946 ┆ … ┆ {37.280968 ┆ {0.255,0.0 ┆ [1030,     ┆ [1031,     │\n",
-       "│     ┆           ┆           ┆ ,52.133789 ┆   ┆ ,false,fal ┆ 9435,0.016 ┆ 1260,      ┆ 1261,      │\n",
-       "│     ┆           ┆           ┆ }          ┆   ┆ se,false,n ┆ 746,0.0390 ┆ 5319]      ┆ 5318]      │\n",
-       "│     ┆           ┆           ┆            ┆   ┆ ul…        ┆ 74…        ┆            ┆            │\n",
-       "│ 1   ┆ 0         ┆ 88        ┆ {-0.292946 ┆ … ┆ {35.771095 ┆ {0.255,0.3 ┆ [2832,     ┆ [2833,     │\n",
-       "│     ┆           ┆           ┆ ,52.133789 ┆   ┆ ,false,fal ┆ 213,0.0701 ┆ 7805, …    ┆ 7804, …    │\n",
-       "│     ┆           ┆           ┆ }          ┆   ┆ se,false,n ┆ 99,0.03008 ┆ 14038]     ┆ 14039]     │\n",
-       "│     ┆           ┆           ┆            ┆   ┆ ul…        ┆ 5,…        ┆            ┆            │\n",
-       "│ 2   ┆ 0         ┆ null      ┆ {-0.292946 ┆ … ┆ {null,fals ┆ {0.257,0.0 ┆ [107, 453, ┆ [106, 454, │\n",
-       "│     ┆           ┆           ┆ ,52.133789 ┆   ┆ e,false,fa ┆ 9509,0.013 ┆ … 16247]   ┆ … 16246]   │\n",
-       "│     ┆           ┆           ┆ }          ┆   ┆ lse,null,1 ┆ 041,0.0304 ┆            ┆            │\n",
-       "│     ┆           ┆           ┆            ┆   ┆ ,n…        ┆ 29…        ┆            ┆            │\n",
-       "│ 3   ┆ 1         ┆ null      ┆ {-0.292673 ┆ … ┆ {34.354729 ┆ {0.239,0.1 ┆ [513,      ┆ [514,      │\n",
-       "│     ┆           ┆           ┆ ,52.131351 ┆   ┆ ,true,true ┆ 5057,2.101 ┆ 1819, …    ┆ 1818, …    │\n",
-       "│     ┆           ┆           ┆ }          ┆   ┆ ,true,4,4, ┆ 6e-14,9.00 ┆ 15923]     ┆ 15924]     │\n",
-       "│     ┆           ┆           ┆            ┆   ┆ 3}         ┆ 70…        ┆            ┆            │\n",
-       "│ 4   ┆ 1         ┆ 48941     ┆ {-0.292673 ┆ … ┆ {20.597435 ┆ {0.268,0.1 ┆ [538,      ┆ [537,      │\n",
-       "│     ┆           ┆           ┆ ,52.131351 ┆   ┆ ,false,fal ┆ 9832,5.655 ┆ 7588, …    ┆ 7589, …    │\n",
-       "│     ┆           ┆           ┆ }          ┆   ┆ se,false,n ┆ 2e-11,1.31 ┆ 14060]     ┆ 14061]     │\n",
-       "│     ┆           ┆           ┆            ┆   ┆ ul…        ┆ 96…        ┆            ┆            │\n",
+       "│ 0   ┆ 0         ┆ null      ┆ {-0.287697 ┆ … ┆ {33.83572, ┆ {0.268,0.1 ┆ [484,      ┆ [483,      │\n",
+       "│     ┆           ┆           ┆ ,52.622196 ┆   ┆ true,false ┆ 9832,1.927 ┆ 5336, …    ┆ 5337, …    │\n",
+       "│     ┆           ┆           ┆ }          ┆   ┆ ,true,4,4, ┆ 4e-13,4.49 ┆ 14013]     ┆ 14012]     │\n",
+       "│     ┆           ┆           ┆            ┆   ┆ 1}         ┆ 73…        ┆            ┆            │\n",
+       "│ 1   ┆ 0         ┆ 110263    ┆ {-0.287697 ┆ … ┆ {27.844835 ┆ {0.268,0.3 ┆ [235, 816, ┆ [234, 815, │\n",
+       "│     ┆           ┆           ┆ ,52.622196 ┆   ┆ ,false,fal ┆ 3768,1.967 ┆ … 16212]   ┆ … 16211]   │\n",
+       "│     ┆           ┆           ┆ }          ┆   ┆ se,false,3 ┆ 8e-12,8.43 ┆            ┆            │\n",
+       "│     ┆           ┆           ┆            ┆   ┆ ,3…        ┆ 34…        ┆            ┆            │\n",
+       "│ 2   ┆ 0         ┆ 94582     ┆ {-0.287697 ┆ … ┆ {23.245779 ┆ {0.257,0.0 ┆ [400,      ┆ [399,      │\n",
+       "│     ┆           ┆           ┆ ,52.622196 ┆   ┆ ,false,fal ┆ 9509,0.766 ┆ 1321, …    ┆ 1320, …    │\n",
+       "│     ┆           ┆           ┆ }          ┆   ┆ se,false,0 ┆ 659,1.7888 ┆ 16148]     ┆ 16147]     │\n",
+       "│     ┆           ┆           ┆            ┆   ┆ ,2…        ┆ 71…        ┆            ┆            │\n",
+       "│ 3   ┆ 1         ┆ null      ┆ {-0.280472 ┆ … ┆ {26.839546 ┆ {0.09,0.05 ┆ [9656,     ┆ [9655,     │\n",
+       "│     ┆           ┆           ┆ ,52.61948} ┆   ┆ ,true,fals ┆ 67,2.9846e ┆ 10928,     ┆ 10929,     │\n",
+       "│     ┆           ┆           ┆            ┆   ┆ e,true,6,2 ┆ -31,1.2791 ┆ 11338]     ┆ 11339]     │\n",
+       "│     ┆           ┆           ┆            ┆   ┆ ,4…        ┆ e-…        ┆            ┆            │\n",
+       "│ 4   ┆ 2         ┆ null      ┆ {-0.281934 ┆ … ┆ {16.375051 ┆ {0.255,0.1 ┆ [2272,     ┆ [2273,     │\n",
+       "│     ┆           ┆           ┆ ,52.621067 ┆   ┆ ,false,fal ┆ 887,0.0023 ┆ 3206, …    ┆ 3207, …    │\n",
+       "│     ┆           ┆           ┆ }          ┆   ┆ se,false,n ┆ 12,0.00539 ┆ 16310]     ┆ 16311]     │\n",
+       "│     ┆           ┆           ┆            ┆   ┆ ul…        ┆ 4,…        ┆            ┆            │\n",
        "└─────┴───────────┴───────────┴────────────┴───┴────────────┴────────────┴────────────┴────────────┘"
       ]
      },
@@ -146,7 +145,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Shape: (2950743, 11)\n"
+      "Shape: (3811684, 11)\n"
      ]
     },
     {
@@ -155,12 +154,12 @@
        "{'id': UInt64,\n",
        " 'household': UInt64,\n",
        " 'workplace': UInt64,\n",
-       " 'location': Struct([Field('x', Float32), Field('y', Float32)]),\n",
-       " 'identifiers': Struct([Field('orig_pid', Utf8), Field('id_tus_hh', Int64), Field('id_tus_p', Int64), Field('pid_hs', Int64)]),\n",
-       " 'demographics': Struct([Field('sex', Int32), Field('age_years', UInt32), Field('ethnicity', Int32), Field('nssec8', Int32)]),\n",
-       " 'employment': Struct([Field('sic1d2007', Utf8), Field('sic2d2007', UInt64), Field('soc2010', UInt64), Field('pwkstat', Int32), Field('salary_yearly', Float32), Field('salary_hourly', Float32)]),\n",
-       " 'health': Struct([Field('bmi', Float32), Field('has_cardiovascular_disease', Boolean), Field('has_diabetes', Boolean), Field('has_high_blood_pressure', Boolean), Field('number_medications', UInt64), Field('self_assessed_health', Int32), Field('life_satisfaction', Int32)]),\n",
-       " 'events': Struct([Field('sport', Float32), Field('rugby', Float32), Field('concert_m', Float32), Field('concert_f', Float32), Field('concert_ms', Float32), Field('concert_fs', Float32), Field('museum', Float32)]),\n",
+       " 'location': Struct({'x': Float32, 'y': Float32}),\n",
+       " 'identifiers': Struct({'orig_pid': String, 'id_tus_hh': Int64, 'id_tus_p': Int64, 'pid_hs': Int64}),\n",
+       " 'demographics': Struct({'sex': Int32, 'age_years': UInt32, 'ethnicity': Int32, 'nssec8': Int32}),\n",
+       " 'employment': Struct({'sic1d2007': String, 'sic2d2007': UInt64, 'soc2010': UInt64, 'pwkstat': Int32, 'salary_yearly': Float32, 'salary_hourly': Float32}),\n",
+       " 'health': Struct({'bmi': Float32, 'has_cardiovascular_disease': Boolean, 'has_diabetes': Boolean, 'has_high_blood_pressure': Boolean, 'number_medications': UInt64, 'self_assessed_health': Int32, 'life_satisfaction': Int32}),\n",
+       " 'events': Struct({'sport': Float32, 'rugby': Float32, 'concert_m': Float32, 'concert_f': Float32, 'concert_ms': Float32, 'concert_fs': Float32, 'museum': Float32}),\n",
        " 'weekday_diaries': List(UInt64),\n",
        " 'weekend_diaries': List(UInt64)}"
       ]
@@ -198,11 +197,11 @@
       "│           ┆ ---          ┆              ┆ bool         ┆ u64         ┆ i32         ┆ i32         │\n",
       "│           ┆ bool         ┆              ┆              ┆             ┆             ┆             │\n",
       "╞═══════════╪══════════════╪══════════════╪══════════════╪═════════════╪═════════════╪═════════════╡\n",
-      "│ 37.280968 ┆ false        ┆ false        ┆ false        ┆ null        ┆ 1           ┆ 3           │\n",
-      "│ 35.771095 ┆ false        ┆ false        ┆ false        ┆ null        ┆ 2           ┆ 3           │\n",
-      "│ null      ┆ false        ┆ false        ┆ false        ┆ null        ┆ 1           ┆ null        │\n",
-      "│ 34.354729 ┆ true         ┆ true         ┆ true         ┆ 4           ┆ 4           ┆ 3           │\n",
-      "│ 20.597435 ┆ false        ┆ false        ┆ false        ┆ null        ┆ 3           ┆ null        │\n",
+      "│ 33.83572  ┆ true         ┆ false        ┆ true         ┆ 4           ┆ 4           ┆ 1           │\n",
+      "│ 27.844835 ┆ false        ┆ false        ┆ false        ┆ 3           ┆ 3           ┆ 3           │\n",
+      "│ 23.245779 ┆ false        ┆ false        ┆ false        ┆ 0           ┆ 2           ┆ 3           │\n",
+      "│ 26.839546 ┆ true         ┆ false        ┆ true         ┆ 6           ┆ 2           ┆ 4           │\n",
+      "│ 16.375051 ┆ false        ┆ false        ┆ false        ┆ null        ┆ 2           ┆ null        │\n",
       "└───────────┴──────────────┴──────────────┴──────────────┴─────────────┴─────────────┴─────────────┘\n"
      ]
     }
@@ -227,11 +226,11 @@
       "│ ---       ┆ ---       ┆ ---     ┆ ---     ┆ ---           ┆ ---           │\n",
       "│ str       ┆ u64       ┆ u64     ┆ i32     ┆ f32           ┆ f32           │\n",
       "╞═══════════╪═══════════╪═════════╪═════════╪═══════════════╪═══════════════╡\n",
-      "│ C         ┆ 30        ┆ 8133    ┆ 7       ┆ null          ┆ null          │\n",
-      "│ M         ┆ 69        ┆ 1132    ┆ 1       ┆ 127906.320312 ┆ 70.278198     │\n",
-      "│ null      ┆ null      ┆ null    ┆ 0       ┆ null          ┆ null          │\n",
-      "│ O         ┆ 84        ┆ 3313    ┆ 6       ┆ null          ┆ null          │\n",
-      "│ P         ┆ 85        ┆ 1135    ┆ 1       ┆ 64961.53125   ┆ 33.76379      │\n",
+      "│ Q         ┆ 86        ┆ 2112    ┆ 6       ┆ null          ┆ null          │\n",
+      "│ C         ┆ 30        ┆ 2133    ┆ 1       ┆ 40137.558594  ┆ 22.053602     │\n",
+      "│ G         ┆ 47        ┆ 7111    ┆ 2       ┆ 6708.0        ┆ 6.45          │\n",
+      "│ C         ┆ 25        ┆ 8125    ┆ 6       ┆ null          ┆ null          │\n",
+      "│ Q         ┆ 86        ┆ 2231    ┆ 7       ┆ null          ┆ null          │\n",
       "└───────────┴───────────┴─────────┴─────────┴───────────────┴───────────────┘\n"
      ]
     }
@@ -250,7 +249,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "shape: (2_950_743, 7)\n",
+      "shape: (3_811_684, 7)\n",
       "┌───────────┬──────────────┬──────────────┬──────────────┬─────────────┬─────────────┬─────────────┐\n",
       "│ bmi       ┆ has_cardiova ┆ has_diabetes ┆ has_high_blo ┆ number_medi ┆ self_assess ┆ life_satisf │\n",
       "│ ---       ┆ scular_disea ┆ ---          ┆ od_pressure  ┆ cations     ┆ ed_health   ┆ action      │\n",
@@ -258,11 +257,13 @@
       "│           ┆ ---          ┆              ┆ bool         ┆ u64         ┆ i32         ┆ i32         │\n",
       "│           ┆ bool         ┆              ┆              ┆             ┆             ┆             │\n",
       "╞═══════════╪══════════════╪══════════════╪══════════════╪═════════════╪═════════════╪═════════════╡\n",
-      "│ 37.280968 ┆ false        ┆ false        ┆ false        ┆ null        ┆ 1           ┆ 3           │\n",
-      "│ 35.771095 ┆ false        ┆ false        ┆ false        ┆ null        ┆ 2           ┆ 3           │\n",
-      "│ null      ┆ false        ┆ false        ┆ false        ┆ null        ┆ 1           ┆ null        │\n",
-      "│ 34.354729 ┆ true         ┆ true         ┆ true         ┆ 4           ┆ 4           ┆ 3           │\n",
+      "│ 33.83572  ┆ true         ┆ false        ┆ true         ┆ 4           ┆ 4           ┆ 1           │\n",
+      "│ 27.844835 ┆ false        ┆ false        ┆ false        ┆ 3           ┆ 3           ┆ 3           │\n",
+      "│ 23.245779 ┆ false        ┆ false        ┆ false        ┆ 0           ┆ 2           ┆ 3           │\n",
+      "│ 26.839546 ┆ true         ┆ false        ┆ true         ┆ 6           ┆ 2           ┆ 4           │\n",
+      "│ 16.375051 ┆ false        ┆ false        ┆ false        ┆ null        ┆ 2           ┆ null        │\n",
       "│ …         ┆ …            ┆ …            ┆ …            ┆ …           ┆ …           ┆ …           │\n",
+      "│ null      ┆ false        ┆ false        ┆ false        ┆ null        ┆ 5           ┆ null        │\n",
       "│ null      ┆ false        ┆ false        ┆ false        ┆ null        ┆ 2           ┆ null        │\n",
       "│ 30.28348  ┆ true         ┆ false        ┆ false        ┆ 6           ┆ 2           ┆ 3           │\n",
       "│ 29.164146 ┆ false        ┆ false        ┆ false        ┆ 2           ┆ 4           ┆ 1           │\n",
@@ -292,26 +293,27 @@
      "data": {
       "text/html": [
        "<div><style>\n",
-       ".dataframe > thead > tr > th,\n",
-       ".dataframe > tbody > tr > td {\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
        "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
        "}\n",
        "</style>\n",
-       "<small>shape: (5, 5)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>id</th><th>msoa</th><th>oa</th><th>members</th><th>details</th></tr><tr><td>u64</td><td>str</td><td>str</td><td>list[u64]</td><td>struct[8]</td></tr></thead><tbody><tr><td>0</td><td>&quot;E02003599&quot;</td><td>&quot;E00088035&quot;</td><td>[0, 1, 2]</td><td>{&quot;E02003599_0001&quot;,6,4,null,5,true,5,2}</td></tr><tr><td>1</td><td>&quot;E02003599&quot;</td><td>&quot;E00088045&quot;</td><td>[3, 4, 5]</td><td>{&quot;E02003599_0002&quot;,4,2,null,6,true,2,2}</td></tr><tr><td>2</td><td>&quot;E02003599&quot;</td><td>&quot;E00088033&quot;</td><td>[6]</td><td>{&quot;E02003599_0003&quot;,8,3,null,2,true,4,1}</td></tr><tr><td>3</td><td>&quot;E02003599&quot;</td><td>&quot;E00088052&quot;</td><td>[7, 8, 9]</td><td>{&quot;E02003599_0004&quot;,5,3,null,5,true,4,0}</td></tr><tr><td>4</td><td>&quot;E02003599&quot;</td><td>&quot;E00088040&quot;</td><td>[10]</td><td>{&quot;E02003599_0005&quot;,6,2,null,6,true,4,0}</td></tr></tbody></table></div>"
+       "<small>shape: (5, 5)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>id</th><th>msoa</th><th>oa</th><th>members</th><th>details</th></tr><tr><td>u64</td><td>str</td><td>str</td><td>list[u64]</td><td>struct[8]</td></tr></thead><tbody><tr><td>0</td><td>&quot;E02003237&quot;</td><td>&quot;E00079294&quot;</td><td>[0, 1, 2]</td><td>{&quot;E02003237_0001&quot;,2,2,null,6,true,2,1}</td></tr><tr><td>1</td><td>&quot;E02003237&quot;</td><td>&quot;E00079304&quot;</td><td>[3]</td><td>{&quot;E02003237_0002&quot;,7,1,null,5,true,1,0}</td></tr><tr><td>2</td><td>&quot;E02003237&quot;</td><td>&quot;E00079300&quot;</td><td>[4]</td><td>{&quot;E02003237_0003&quot;,3,3,null,5,true,2,1}</td></tr><tr><td>3</td><td>&quot;E02003237&quot;</td><td>&quot;E00079298&quot;</td><td>[5, 6, … 8]</td><td>{&quot;E02003237_0004&quot;,1,1,null,6,true,2,2}</td></tr><tr><td>4</td><td>&quot;E02003237&quot;</td><td>&quot;E00079032&quot;</td><td>[9, 10]</td><td>{&quot;E02003237_0005&quot;,1,2,null,6,true,2,2}</td></tr></tbody></table></div>"
       ],
       "text/plain": [
        "shape: (5, 5)\n",
-       "┌─────┬───────────┬───────────┬───────────┬───────────────────────────────────┐\n",
-       "│ id  ┆ msoa      ┆ oa        ┆ members   ┆ details                           │\n",
-       "│ --- ┆ ---       ┆ ---       ┆ ---       ┆ ---                               │\n",
-       "│ u64 ┆ str       ┆ str       ┆ list[u64] ┆ struct[8]                         │\n",
-       "╞═════╪═══════════╪═══════════╪═══════════╪═══════════════════════════════════╡\n",
-       "│ 0   ┆ E02003599 ┆ E00088035 ┆ [0, 1, 2] ┆ {\"E02003599_0001\",6,4,null,5,tru… │\n",
-       "│ 1   ┆ E02003599 ┆ E00088045 ┆ [3, 4, 5] ┆ {\"E02003599_0002\",4,2,null,6,tru… │\n",
-       "│ 2   ┆ E02003599 ┆ E00088033 ┆ [6]       ┆ {\"E02003599_0003\",8,3,null,2,tru… │\n",
-       "│ 3   ┆ E02003599 ┆ E00088052 ┆ [7, 8, 9] ┆ {\"E02003599_0004\",5,3,null,5,tru… │\n",
-       "│ 4   ┆ E02003599 ┆ E00088040 ┆ [10]      ┆ {\"E02003599_0005\",6,2,null,6,tru… │\n",
-       "└─────┴───────────┴───────────┴───────────┴───────────────────────────────────┘"
+       "┌─────┬───────────┬───────────┬─────────────┬───────────────────────────────────┐\n",
+       "│ id  ┆ msoa      ┆ oa        ┆ members     ┆ details                           │\n",
+       "│ --- ┆ ---       ┆ ---       ┆ ---         ┆ ---                               │\n",
+       "│ u64 ┆ str       ┆ str       ┆ list[u64]   ┆ struct[8]                         │\n",
+       "╞═════╪═══════════╪═══════════╪═════════════╪═══════════════════════════════════╡\n",
+       "│ 0   ┆ E02003237 ┆ E00079294 ┆ [0, 1, 2]   ┆ {\"E02003237_0001\",2,2,null,6,tru… │\n",
+       "│ 1   ┆ E02003237 ┆ E00079304 ┆ [3]         ┆ {\"E02003237_0002\",7,1,null,5,tru… │\n",
+       "│ 2   ┆ E02003237 ┆ E00079300 ┆ [4]         ┆ {\"E02003237_0003\",3,3,null,5,tru… │\n",
+       "│ 3   ┆ E02003237 ┆ E00079298 ┆ [5, 6, … 8] ┆ {\"E02003237_0004\",1,1,null,6,tru… │\n",
+       "│ 4   ┆ E02003237 ┆ E00079032 ┆ [9, 10]     ┆ {\"E02003237_0005\",1,2,null,6,tru… │\n",
+       "└─────┴───────────┴───────────┴─────────────┴───────────────────────────────────┘"
       ]
      },
      "execution_count": 9,
@@ -332,17 +334,17 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Shape: (1199021, 5)\n"
+      "Shape: (1540412, 5)\n"
      ]
     },
     {
      "data": {
       "text/plain": [
        "{'id': UInt64,\n",
-       " 'msoa': Utf8,\n",
-       " 'oa': Utf8,\n",
+       " 'msoa': String,\n",
+       " 'oa': String,\n",
        " 'members': List(UInt64),\n",
-       " 'details': Struct([Field('hid', Utf8), Field('nssec8', Int32), Field('accommodation_type', Int32), Field('communal_type', Int32), Field('num_rooms', UInt64), Field('central_heat', Boolean), Field('tenure', Int32), Field('num_cars', UInt64)])}"
+       " 'details': Struct({'hid': String, 'nssec8': Int32, 'accommodation_type': Int32, 'communal_type': Int32, 'num_rooms': UInt64, 'central_heat': Boolean, 'tenure': Int32, 'num_cars': UInt64})}"
       ]
      },
      "execution_count": 10,
@@ -363,26 +365,27 @@
      "data": {
       "text/html": [
        "<div><style>\n",
-       ".dataframe > thead > tr > th,\n",
-       ".dataframe > tbody > tr > td {\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
        "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
        "}\n",
        "</style>\n",
-       "<small>shape: (5, 12)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>id</th><th>msoa</th><th>oa</th><th>members</th><th>hid</th><th>nssec8</th><th>accommodation_type</th><th>communal_type</th><th>num_rooms</th><th>central_heat</th><th>tenure</th><th>num_cars</th></tr><tr><td>u64</td><td>str</td><td>str</td><td>list[u64]</td><td>str</td><td>i32</td><td>i32</td><td>i32</td><td>u64</td><td>bool</td><td>i32</td><td>u64</td></tr></thead><tbody><tr><td>0</td><td>&quot;E02003599&quot;</td><td>&quot;E00088035&quot;</td><td>[0, 1, 2]</td><td>&quot;E02003599_0001…</td><td>6</td><td>4</td><td>null</td><td>5</td><td>true</td><td>5</td><td>2</td></tr><tr><td>1</td><td>&quot;E02003599&quot;</td><td>&quot;E00088045&quot;</td><td>[3, 4, 5]</td><td>&quot;E02003599_0002…</td><td>4</td><td>2</td><td>null</td><td>6</td><td>true</td><td>2</td><td>2</td></tr><tr><td>2</td><td>&quot;E02003599&quot;</td><td>&quot;E00088033&quot;</td><td>[6]</td><td>&quot;E02003599_0003…</td><td>8</td><td>3</td><td>null</td><td>2</td><td>true</td><td>4</td><td>1</td></tr><tr><td>3</td><td>&quot;E02003599&quot;</td><td>&quot;E00088052&quot;</td><td>[7, 8, 9]</td><td>&quot;E02003599_0004…</td><td>5</td><td>3</td><td>null</td><td>5</td><td>true</td><td>4</td><td>0</td></tr><tr><td>4</td><td>&quot;E02003599&quot;</td><td>&quot;E00088040&quot;</td><td>[10]</td><td>&quot;E02003599_0005…</td><td>6</td><td>2</td><td>null</td><td>6</td><td>true</td><td>4</td><td>0</td></tr></tbody></table></div>"
+       "<small>shape: (5, 12)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>id</th><th>msoa</th><th>oa</th><th>members</th><th>hid</th><th>nssec8</th><th>accommodation_type</th><th>communal_type</th><th>num_rooms</th><th>central_heat</th><th>tenure</th><th>num_cars</th></tr><tr><td>u64</td><td>str</td><td>str</td><td>list[u64]</td><td>str</td><td>i32</td><td>i32</td><td>i32</td><td>u64</td><td>bool</td><td>i32</td><td>u64</td></tr></thead><tbody><tr><td>0</td><td>&quot;E02003237&quot;</td><td>&quot;E00079294&quot;</td><td>[0, 1, 2]</td><td>&quot;E02003237_0001…</td><td>2</td><td>2</td><td>null</td><td>6</td><td>true</td><td>2</td><td>1</td></tr><tr><td>1</td><td>&quot;E02003237&quot;</td><td>&quot;E00079304&quot;</td><td>[3]</td><td>&quot;E02003237_0002…</td><td>7</td><td>1</td><td>null</td><td>5</td><td>true</td><td>1</td><td>0</td></tr><tr><td>2</td><td>&quot;E02003237&quot;</td><td>&quot;E00079300&quot;</td><td>[4]</td><td>&quot;E02003237_0003…</td><td>3</td><td>3</td><td>null</td><td>5</td><td>true</td><td>2</td><td>1</td></tr><tr><td>3</td><td>&quot;E02003237&quot;</td><td>&quot;E00079298&quot;</td><td>[5, 6, … 8]</td><td>&quot;E02003237_0004…</td><td>1</td><td>1</td><td>null</td><td>6</td><td>true</td><td>2</td><td>2</td></tr><tr><td>4</td><td>&quot;E02003237&quot;</td><td>&quot;E00079032&quot;</td><td>[9, 10]</td><td>&quot;E02003237_0005…</td><td>1</td><td>2</td><td>null</td><td>6</td><td>true</td><td>2</td><td>2</td></tr></tbody></table></div>"
       ],
       "text/plain": [
        "shape: (5, 12)\n",
-       "┌─────┬───────────┬───────────┬───────────┬───┬───────────┬──────────────┬────────┬──────────┐\n",
-       "│ id  ┆ msoa      ┆ oa        ┆ members   ┆ … ┆ num_rooms ┆ central_heat ┆ tenure ┆ num_cars │\n",
-       "│ --- ┆ ---       ┆ ---       ┆ ---       ┆   ┆ ---       ┆ ---          ┆ ---    ┆ ---      │\n",
-       "│ u64 ┆ str       ┆ str       ┆ list[u64] ┆   ┆ u64       ┆ bool         ┆ i32    ┆ u64      │\n",
-       "╞═════╪═══════════╪═══════════╪═══════════╪═══╪═══════════╪══════════════╪════════╪══════════╡\n",
-       "│ 0   ┆ E02003599 ┆ E00088035 ┆ [0, 1, 2] ┆ … ┆ 5         ┆ true         ┆ 5      ┆ 2        │\n",
-       "│ 1   ┆ E02003599 ┆ E00088045 ┆ [3, 4, 5] ┆ … ┆ 6         ┆ true         ┆ 2      ┆ 2        │\n",
-       "│ 2   ┆ E02003599 ┆ E00088033 ┆ [6]       ┆ … ┆ 2         ┆ true         ┆ 4      ┆ 1        │\n",
-       "│ 3   ┆ E02003599 ┆ E00088052 ┆ [7, 8, 9] ┆ … ┆ 5         ┆ true         ┆ 4      ┆ 0        │\n",
-       "│ 4   ┆ E02003599 ┆ E00088040 ┆ [10]      ┆ … ┆ 6         ┆ true         ┆ 4      ┆ 0        │\n",
-       "└─────┴───────────┴───────────┴───────────┴───┴───────────┴──────────────┴────────┴──────────┘"
+       "┌─────┬───────────┬───────────┬─────────────┬───┬───────────┬──────────────┬────────┬──────────┐\n",
+       "│ id  ┆ msoa      ┆ oa        ┆ members     ┆ … ┆ num_rooms ┆ central_heat ┆ tenure ┆ num_cars │\n",
+       "│ --- ┆ ---       ┆ ---       ┆ ---         ┆   ┆ ---       ┆ ---          ┆ ---    ┆ ---      │\n",
+       "│ u64 ┆ str       ┆ str       ┆ list[u64]   ┆   ┆ u64       ┆ bool         ┆ i32    ┆ u64      │\n",
+       "╞═════╪═══════════╪═══════════╪═════════════╪═══╪═══════════╪══════════════╪════════╪══════════╡\n",
+       "│ 0   ┆ E02003237 ┆ E00079294 ┆ [0, 1, 2]   ┆ … ┆ 6         ┆ true         ┆ 2      ┆ 1        │\n",
+       "│ 1   ┆ E02003237 ┆ E00079304 ┆ [3]         ┆ … ┆ 5         ┆ true         ┆ 1      ┆ 0        │\n",
+       "│ 2   ┆ E02003237 ┆ E00079300 ┆ [4]         ┆ … ┆ 5         ┆ true         ┆ 2      ┆ 1        │\n",
+       "│ 3   ┆ E02003237 ┆ E00079298 ┆ [5, 6, … 8] ┆ … ┆ 6         ┆ true         ┆ 2      ┆ 2        │\n",
+       "│ 4   ┆ E02003237 ┆ E00079032 ┆ [9, 10]     ┆ … ┆ 6         ┆ true         ┆ 2      ┆ 2        │\n",
+       "└─────┴───────────┴───────────┴─────────────┴───┴───────────┴──────────────┴────────┴──────────┘"
       ]
      },
      "execution_count": 11,
@@ -411,9 +414,10 @@
      "data": {
       "text/html": [
        "<div><style>\n",
-       ".dataframe > thead > tr > th,\n",
-       ".dataframe > tbody > tr > td {\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
        "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
        "}\n",
        "</style>\n",
        "<small>shape: (5, 4)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>id</th><th>activity</th><th>location</th><th>urn</th></tr><tr><td>u64</td><td>str</td><td>struct[2]</td><td>str</td></tr></thead><tbody><tr><td>0</td><td>&quot;Retail&quot;</td><td>{-0.203788,51.981995}</td><td>null</td></tr><tr><td>1</td><td>&quot;Retail&quot;</td><td>{-0.522467,51.903172}</td><td>null</td></tr><tr><td>2</td><td>&quot;Retail&quot;</td><td>{-1.28335,51.669636}</td><td>null</td></tr><tr><td>3</td><td>&quot;Retail&quot;</td><td>{-1.279668,51.672077}</td><td>null</td></tr><tr><td>4</td><td>&quot;Retail&quot;</td><td>{-1.309456,51.66703}</td><td>null</td></tr></tbody></table></div>"
@@ -458,9 +462,10 @@
      "data": {
       "text/html": [
        "<div><style>\n",
-       ".dataframe > thead > tr > th,\n",
-       ".dataframe > tbody > tr > td {\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
        "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
        "}\n",
        "</style>\n",
        "<small>shape: (5, 25)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>uid</th><th>weekday</th><th>day_type</th><th>month</th><th>pworkhome</th><th>phomeother</th><th>pwork</th><th>pschool</th><th>pshop</th><th>pservices</th><th>pleisure</th><th>pescort</th><th>ptransport</th><th>phome_total</th><th>pnothome_total</th><th>punknown_total</th><th>pmwalk</th><th>pmcycle</th><th>pmprivate</th><th>pmpublic</th><th>pmunknown</th><th>sex</th><th>age35g</th><th>nssec8</th><th>pwkstat</th></tr><tr><td>str</td><td>bool</td><td>i32</td><td>u32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>i32</td><td>u32</td><td>i32</td><td>i32</td></tr></thead><tbody><tr><td>&quot;11011202_1_0&quot;</td><td>false</td><td>3</td><td>12</td><td>0.0</td><td>0.82639</td><td>0.0</td><td>0.0</td><td>0.0625</td><td>0.0</td><td>0.09028</td><td>0.0</td><td>0.02083</td><td>0.82639</td><td>0.17361</td><td>0.0</td><td>0.0</td><td>0.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>2</td><td>13</td><td>4</td><td>1</td></tr><tr><td>&quot;11011202_1_1&quot;</td><td>true</td><td>3</td><td>12</td><td>0.0</td><td>0.79166</td><td>0.0</td><td>0.0</td><td>0.04167</td><td>0.0</td><td>0.125</td><td>0.0</td><td>0.04167</td><td>0.79166</td><td>0.20834</td><td>0.0</td><td>0.0</td><td>0.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>2</td><td>13</td><td>4</td><td>1</td></tr><tr><td>&quot;11011202_4_1&quot;</td><td>true</td><td>2</td><td>12</td><td>0.0</td><td>0.61111</td><td>0.0</td><td>0.27778</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.11111</td><td>0.61111</td><td>0.38889</td><td>0.0</td><td>0.0625</td><td>0.0</td><td>0.0625</td><td>0.875</td><td>0.0625</td><td>1</td><td>6</td><td>null</td><td>0</td></tr><tr><td>&quot;11011202_4_0&quot;</td><td>false</td><td>3</td><td>12</td><td>0.0</td><td>0.80556</td><td>0.0</td><td>0.01389</td><td>0.14583</td><td>0.0</td><td>0.03472</td><td>0.0</td><td>0.0</td><td>0.80556</td><td>0.19444</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>1</td><td>6</td><td>null</td><td>0</td></tr><tr><td>&quot;11011203_1_0&quot;</td><td>false</td><td>3</td><td>12</td><td>0.0</td><td>0.90972</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.04167</td><td>0.0</td><td>0.04861</td><td>0.90972</td><td>0.09028</td><td>0.0</td><td>0.41667</td><td>0.0</td><td>0.91667</td><td>0.0</td><td>0.08333</td><td>1</td><td>19</td><td>1</td><td>6</td></tr></tbody></table></div>"
@@ -504,7 +509,7 @@
     {
      "data": {
       "text/plain": [
-       "{'uid': Utf8,\n",
+       "{'uid': String,\n",
        " 'weekday': Boolean,\n",
        " 'day_type': Int32,\n",
        " 'month': UInt32,\n",
@@ -575,26 +580,26 @@
     {
      "data": {
       "text/plain": [
-       "{'Retail': [[72, 0.06177841497339429],\n",
-       "  [247, 0.06622072185605729],\n",
-       "  [184, 0.07630052903052226],\n",
-       "  [183, 0.0771462508847894],\n",
-       "  [175, 0.08113124206861183],\n",
-       "  [267, 0.11633072727982427],\n",
-       "  [133, 0.1230479366872526],\n",
-       "  [232, 0.1231150262857044],\n",
-       "  [284, 0.13170621279841377],\n",
-       "  [283, 0.1432229381354299]],\n",
-       " 'PrimarySchool': [[178, 0.13814641302356995],\n",
-       "  [179, 0.14537334287820983],\n",
-       "  [182, 0.21869223135912264],\n",
-       "  [175, 0.23110298864401183],\n",
-       "  [186, 0.2666850240950859]],\n",
-       " 'SecondarySchool': [[183, 0.15960860948551311],\n",
-       "  [146, 0.1653416912282451],\n",
-       "  [36, 0.18151687347509643],\n",
-       "  [49, 0.22015909562603916],\n",
-       "  [230, 0.27337373018510625]],\n",
+       "{'Retail': [[41, 0.07343511684672088],\n",
+       "  [168, 0.07365690202248147],\n",
+       "  [92, 0.08001937703290209],\n",
+       "  [218, 0.08111719039048813],\n",
+       "  [101, 0.08620092391179641],\n",
+       "  [190, 0.0880263872161068],\n",
+       "  [245, 0.10403438920960656],\n",
+       "  [94, 0.12236275264776975],\n",
+       "  [42, 0.13186451610799213],\n",
+       "  [117, 0.15928244461413568]],\n",
+       " 'PrimarySchool': [[14, 0.16306653489475026],\n",
+       "  [9, 0.187514995144368],\n",
+       "  [12, 0.20540218163013066],\n",
+       "  [11, 0.21877787131605916],\n",
+       "  [8, 0.2252384170146919]],\n",
+       " 'SecondarySchool': [[1, 0.14419544545642513],\n",
+       "  [223, 0.18187880118334185],\n",
+       "  [5, 0.18344541458302477],\n",
+       "  [4, 0.2448911007343909],\n",
+       "  [156, 0.24558923804281735]],\n",
        " 'Home': [],\n",
        " 'Work': []}"
       ]
@@ -621,28 +626,6 @@
    "execution_count": 17,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "shape: (962, 5)\n",
-      "┌─────┬─────────────────┬───────────┬───────────┬────────┐\n",
-      "│ id  ┆ activity        ┆ longitude ┆ latitude  ┆ urn    │\n",
-      "│ --- ┆ ---             ┆ ---       ┆ ---       ┆ ---    │\n",
-      "│ u64 ┆ str             ┆ f32       ┆ f32       ┆ str    │\n",
-      "╞═════╪═════════════════╪═══════════╪═══════════╪════════╡\n",
-      "│ 0   ┆ Retail          ┆ -0.203788 ┆ 51.981995 ┆ null   │\n",
-      "│ 1   ┆ Retail          ┆ -0.522467 ┆ 51.903172 ┆ null   │\n",
-      "│ 2   ┆ Retail          ┆ -1.28335  ┆ 51.669636 ┆ null   │\n",
-      "│ 3   ┆ Retail          ┆ -1.279668 ┆ 51.672077 ┆ null   │\n",
-      "│ …   ┆ …               ┆ …         ┆ …         ┆ …      │\n",
-      "│ 227 ┆ SecondarySchool ┆ -0.588381 ┆ 51.520817 ┆ 146820 │\n",
-      "│ 228 ┆ SecondarySchool ┆ -0.917678 ┆ 51.454231 ┆ 110062 │\n",
-      "│ 229 ┆ SecondarySchool ┆ -1.058186 ┆ 51.455093 ┆ 110063 │\n",
-      "│ 230 ┆ SecondarySchool ┆ -0.290272 ┆ 52.13784  ┆ 109669 │\n",
-      "└─────┴─────────────────┴───────────┴───────────┴────────┘\n"
-     ]
-    },
     {
      "data": {
       "application/vnd.plotly.v1+json": {
@@ -682,6 +665,7 @@
           51.70750045776367,
           51.59738540649414,
           52.22797393798828,
+          52.00513458251953,
           52.00356674194336,
           51.515464782714844,
           51.726802825927734,
@@ -696,7 +680,10 @@
           52.57491683959961,
           52.56899642944336,
           52.207088470458984,
+          52.04178237915039,
           52.239234924316406,
+          52.137996673583984,
+          52.13589859008789,
           51.63206100463867,
           51.62995529174805,
           51.78749084472656,
@@ -741,6 +728,8 @@
           51.77643966674805,
           52.08645248413086,
           51.588863372802734,
+          52.5983772277832,
+          51.90418243408203,
           52.59990310668945,
           52.00282287597656,
           52.2154655456543,
@@ -748,6 +737,7 @@
           52.6035270690918,
           52.2913703918457,
           51.478309631347656,
+          52.62143325805664,
           51.650428771972656,
           51.55854034423828,
           51.90393829345703,
@@ -777,6 +767,7 @@
           52.2618408203125,
           52.26253890991211,
           52.00693130493164,
+          51.99317169189453,
           52.429283142089844,
           51.7227783203125,
           51.61394119262695,
@@ -786,6 +777,7 @@
           52.35085678100586,
           51.54866027832031,
           51.57176971435547,
+          51.91691589355469,
           52.129764556884766,
           52.37651824951172,
           51.44061279296875,
@@ -812,6 +804,7 @@
           52.23295211791992,
           52.23826599121094,
           51.64101028442383,
+          52.6815185546875,
           52.07757568359375,
           51.754371643066406,
           51.52313995361328,
@@ -827,6 +820,7 @@
           51.815006256103516,
           52.37261199951172,
           51.82388687133789,
+          52.14414978027344,
           51.821327209472656,
           52.142024993896484,
           52.40282440185547,
@@ -836,6 +830,7 @@
           51.92074203491211,
           52.289939880371094,
           52.29473876953125,
+          52.12360763549805,
           52.122047424316406,
           52.145511627197266,
           52.059730529785156,
@@ -847,6 +842,7 @@
           52.48885726928711,
           52.48811721801758,
           51.634830474853516,
+          51.90465545654297,
           51.515625,
           51.576969146728516,
           52.35992431640625,
@@ -866,6 +862,7 @@
           51.733890533447266,
           51.5580940246582,
           52.23927688598633,
+          51.88360595703125,
           51.88280487060547,
           52.0364875793457,
           52.039405822753906,
@@ -873,6 +870,7 @@
           52.03641128540039,
           51.589996337890625,
           52.654415130615234,
+          52.02735137939453,
           51.55524826049805,
           52.2286376953125,
           52.22859573364258,
@@ -884,6 +882,7 @@
           52.470977783203125,
           51.76192092895508,
           52.59138107299805,
+          52.59092712402344,
           52.47688293457031,
           52.21017074584961,
           51.98911666870117,
@@ -973,7 +972,10 @@
           51.74134063720703,
           52.45600891113281,
           52.0589599609375,
+          52.06809616088867,
           52.25579833984375,
+          51.97470474243164,
+          52.15346908569336,
           51.88702392578125,
           52.34938049316406,
           52.2194709777832,
@@ -1024,6 +1026,7 @@
           -0.6119086742401123,
           -1.8050693273544312,
           -0.2705967426300049,
+          -0.7947375774383545,
           -0.7942880988121033,
           -0.4033356308937073,
           -1.2029399871826172,
@@ -1038,7 +1041,10 @@
           -0.2412354201078415,
           -0.24415229260921478,
           0.11941663175821304,
+          -0.7592224478721619,
           -0.8950262665748596,
+          -0.471589595079422,
+          -0.47077280282974243,
           -0.7548537254333496,
           -0.7548919916152954,
           -1.4867773056030273,
@@ -1083,6 +1089,8 @@
           -1.2641161680221558,
           -0.26346534490585327,
           -1.424957513809204,
+          -0.26537013053894043,
+          -0.4532684087753296,
           -0.26690223813056946,
           -0.49809691309928894,
           -0.9110604524612427,
@@ -1090,6 +1098,7 @@
           -1.0857526063919067,
           -0.5995989441871643,
           -0.8658875226974487,
+          -0.2727428376674652,
           -1.575472354888916,
           -0.39984047412872314,
           -1.133284330368042,
@@ -1119,6 +1128,7 @@
           -0.9015209674835205,
           -0.9012390971183777,
           -0.7310038805007935,
+          -0.7328274250030518,
           -1.4325265884399414,
           -0.8297467827796936,
           -0.7628870606422424,
@@ -1128,6 +1138,7 @@
           -1.2737915515899658,
           -0.4746769070625305,
           -0.7778753042221069,
+          -0.47207605838775635,
           -0.451142817735672,
           -0.7216007709503174,
           -0.9710755944252014,
@@ -1154,6 +1165,7 @@
           -0.8952115178108215,
           -0.8929392099380493,
           -0.46908020973205566,
+          -0.3126544654369354,
           -1.3188637495040894,
           -1.259432315826416,
           -0.7145931124687195,
@@ -1169,6 +1181,7 @@
           -0.8169525861740112,
           -1.2645165920257568,
           -0.8365400433540344,
+          -0.4217031002044678,
           -0.83686763048172,
           -0.42485132813453674,
           -0.7271038293838501,
@@ -1178,6 +1191,7 @@
           -0.4353856146335602,
           -0.5944697260856628,
           -0.6000000238418579,
+          -0.47305238246917725,
           -0.47407978773117065,
           -0.4858036935329437,
           -1.3390151262283325,
@@ -1189,6 +1203,7 @@
           -0.701267659664154,
           -0.7021703720092773,
           -0.7541805505752563,
+          -0.4518839418888092,
           -0.47732406854629517,
           -1.7285575866699219,
           -1.2276746034622192,
@@ -1208,6 +1223,7 @@
           -1.21750009059906,
           -1.8105146884918213,
           0.7376766800880432,
+          -0.42336153984069824,
           -0.4231471121311188,
           -0.6871960759162903,
           -0.6895900964736938,
@@ -1215,6 +1231,7 @@
           -0.76152104139328,
           -1.4265612363815308,
           0.14979010820388794,
+          -0.7899463176727295,
           -1.7334033250808716,
           -0.26647794246673584,
           -0.27010130882263184,
@@ -1226,6 +1243,7 @@
           -0.7197093963623047,
           -0.5666013956069946,
           -0.2839491367340088,
+          -0.28234291076660156,
           -0.917529821395874,
           -0.2698141038417816,
           -0.9901823401451111,
@@ -1315,7 +1333,10 @@
           -1.1168888807296753,
           -0.11263144761323929,
           -1.3377639055252075,
+          -0.778252363204956,
           -0.9015173316001892,
+          -0.7324016690254211,
+          -0.4276116192340851,
           -0.5186722874641418,
           0.003923091571778059,
           0.11048730462789536,
@@ -1355,12 +1376,19 @@
           52.661102294921875,
           52.654624938964844,
           52.6515998840332,
+          52.62147903442383,
+          52.60603332519531,
           52.60738754272461,
+          52.60470199584961,
+          52.59649658203125,
+          52.58452606201172,
+          52.58039474487305,
           52.579193115234375,
           52.558658599853516,
           52.56145477294922,
           52.55537796020508,
           52.556636810302734,
+          52.55779266357422,
           52.556121826171875,
           52.55165100097656,
           52.54619598388672,
@@ -1520,24 +1548,41 @@
           52.181297302246094,
           52.177146911621094,
           52.170406341552734,
+          52.161338806152344,
+          52.15708541870117,
+          52.1533088684082,
+          52.15001678466797,
+          52.14999771118164,
           52.13179016113281,
+          52.14397048950195,
+          52.143436431884766,
           52.14249801635742,
+          52.139774322509766,
           52.13264465332031,
+          52.13484191894531,
           52.12415313720703,
           52.13046646118164,
           52.12943649291992,
           52.12605285644531,
+          52.12601089477539,
           52.124237060546875,
           52.12868118286133,
           52.12251663208008,
           52.126529693603516,
+          52.118499755859375,
+          52.117916107177734,
+          52.112770080566406,
+          52.11223602294922,
           52.08308410644531,
           52.08265686035156,
+          52.096683502197266,
           52.09001541137695,
           52.08865737915039,
           52.0829963684082,
           52.08797073364258,
+          52.08521270751953,
           52.07537078857422,
+          52.08253860473633,
           52.07810974121094,
           52.05954360961914,
           52.068992614746094,
@@ -1546,7 +1591,10 @@
           52.05120849609375,
           52.05110549926758,
           52.05016326904297,
+          52.06063461303711,
           52.06411361694336,
+          52.05939865112305,
+          52.0595703125,
           52.061588287353516,
           52.059322357177734,
           52.05155944824219,
@@ -1559,26 +1607,38 @@
           52.038612365722656,
           52.04111862182617,
           52.04118347167969,
+          52.03547668457031,
           52.0340461730957,
           52.03776550292969,
+          52.0324821472168,
           52.02741622924805,
           52.02676010131836,
           52.03011703491211,
           52.03194046020508,
           52.016456604003906,
           52.025657653808594,
+          52.021202087402344,
           52.011436462402344,
+          52.01581954956055,
+          52.014652252197266,
+          52.01021194458008,
           52.009422302246094,
+          52.006134033203125,
           51.998939514160156,
           52.005699157714844,
           52.00051498413086,
           51.990943908691406,
+          51.99757385253906,
+          51.9954833984375,
           51.99640655517578,
           51.9955940246582,
           51.99351501464844,
           51.992698669433594,
+          51.98896408081055,
           51.98814010620117,
           51.987483978271484,
+          51.9826774597168,
+          51.97871398925781,
           51.97520446777344,
           51.95906066894531,
           51.950714111328125,
@@ -1586,6 +1646,7 @@
           51.94386291503906,
           51.93717575073242,
           51.91950607299805,
+          51.91856384277344,
           51.92049789428711,
           51.919456481933594,
           51.917972564697266,
@@ -1593,13 +1654,19 @@
           51.91436767578125,
           51.91913986206055,
           51.910682678222656,
+          51.90983200073242,
           51.90653610229492,
+          51.90489959716797,
           51.91240692138672,
           51.909725189208984,
           51.909210205078125,
+          51.90122604370117,
           51.90146255493164,
+          51.90037536621094,
           51.90127944946289,
+          51.900794982910156,
           51.90604782104492,
+          51.893917083740234,
           51.901126861572266,
           51.89127731323242,
           51.890445709228516,
@@ -1750,12 +1817,19 @@
           0.16852976381778717,
           -0.5061507821083069,
           -0.4859420359134674,
+          -0.2791096568107605,
+          -0.2458815723657608,
           -0.4431923031806946,
+          -0.26612210273742676,
+          -0.2516959309577942,
+          -0.2501648962497711,
+          -0.2762913107872009,
           -0.2463628351688385,
           0.08814434707164764,
           -0.11755131185054779,
           0.07991927117109299,
           -0.1352384388446808,
+          -0.2534711956977844,
           -0.31633374094963074,
           -0.22138336300849915,
           0.08460291475057602,
@@ -1915,24 +1989,41 @@
           0.15464623272418976,
           0.1182452142238617,
           0.12111300230026245,
+          -0.706683337688446,
+          -0.4658951163291931,
+          -0.4290282726287842,
+          -0.4451344609260559,
+          -0.5322186350822449,
           0.3190058767795563,
+          -0.4911024868488312,
+          -0.47634559869766235,
           -0.4288533329963684,
+          -0.45380598306655884,
           -0.28857123851776123,
+          -0.491600900888443,
           0.1703542321920395,
           -0.21994252502918243,
           -0.29430434107780457,
           -0.2848939895629883,
+          -0.4740622043609619,
           -0.46218815445899963,
           -0.9858526587486267,
           -0.4509267210960388,
           -0.9961854219436646,
+          -0.49627143144607544,
+          -0.48519065976142883,
+          -0.4862559735774994,
+          -0.5035504698753357,
           0.43213972449302673,
           0.42143210768699646,
+          -0.5286260843276978,
           -0.2664097547531128,
           -0.25671184062957764,
           0.01853405497968197,
           -0.7439516186714172,
+          -0.7248516082763672,
           -0.06179274618625641,
+          -0.7180978655815125,
           -1.3459885120391846,
           -0.02425873838365078,
           -1.3543059825897217,
@@ -1941,7 +2032,10 @@
           -0.011937683448195457,
           -0.0197451114654541,
           -0.02844996377825737,
+          -0.8151425719261169,
           -1.319410800933838,
+          -0.7543945908546448,
+          -0.8067982196807861,
           -1.3229061365127563,
           -1.356735348701477,
           -0.6955775618553162,
@@ -1954,26 +2048,38 @@
           -0.8012621402740479,
           -1.3184187412261963,
           -1.3294837474822998,
+          -0.7494759559631348,
           -0.6495102047920227,
           -1.152112364768982,
+          -0.7396321296691895,
           -0.4920256733894348,
           -0.4990442395210266,
           -0.8174652457237244,
           -1.1474995613098145,
           -0.22314545512199402,
           -1.1526472568511963,
+          -0.8082565069198608,
           -0.2283860445022583,
+          -0.6955388784408569,
+          -0.777815580368042,
+          -0.7946193814277649,
           -0.801925539970398,
+          -0.7741576433181763,
           -0.24640414118766785,
           -0.9794560074806213,
           -0.4976060390472412,
           -0.18231065571308136,
+          -0.7518430948257446,
+          -0.7252318859100342,
           -0.9712921977043152,
           -0.9855992794036865,
           -0.7920382618904114,
           -0.8008135557174683,
+          -0.7650147080421448,
           -0.7246976494789124,
           -0.9709578156471252,
+          -0.7274156212806702,
+          -0.7261300683021545,
           -0.7356492877006531,
           -0.25477227568626404,
           -0.28651344776153564,
@@ -1981,6 +2087,7 @@
           -1.538870930671692,
           -1.5456887483596802,
           -0.17363695800304413,
+          -0.4640052914619446,
           -0.6836457848548889,
           -0.6926915645599365,
           -0.6646715998649597,
@@ -1988,13 +2095,19 @@
           -0.6434493660926819,
           -1.1625198125839233,
           -0.5219188928604126,
+          -0.47638440132141113,
           -0.41528016328811646,
+          -0.38430193066596985,
           -1.1511454582214355,
           -1.1420520544052124,
           -1.1569187641143799,
+          -0.4439854919910431,
           -0.472321480512619,
+          -0.3980691730976105,
           -0.49365106225013733,
+          -0.4570966064929962,
           -1.1711361408233643,
+          -0.4239206910133362,
           -1.146881341934204,
           -0.4402165412902832,
           -0.4571603834629059,
@@ -2148,8 +2261,10 @@
          "hovertemplate": "activity=SecondarySchool<br>latitude=%{lat}<br>longitude=%{lon}<extra></extra>",
          "lat": [
           52.76095962524414,
+          52.674827575683594,
           52.673072814941406,
           52.659751892089844,
+          52.63691329956055,
           52.578514099121094,
           52.57991409301758,
           52.558937072753906,
@@ -2186,16 +2301,23 @@
           52.232425689697266,
           52.23921585083008,
           52.217384338378906,
+          52.22321701049805,
           52.20443344116211,
           52.21350860595703,
           52.192752838134766,
           52.19052505493164,
           52.184810638427734,
+          52.168968200683594,
+          52.161781311035156,
+          52.159244537353516,
+          52.14441680908203,
           52.126461029052734,
           52.1324577331543,
+          52.113861083984375,
           52.09862518310547,
           52.089385986328125,
           52.087646484375,
+          52.095340728759766,
           52.08663558959961,
           52.075416564941406,
           52.080047607421875,
@@ -2211,6 +2333,7 @@
           52.01918411254883,
           52.02690887451172,
           52.02058792114258,
+          52.01936721801758,
           52.00407028198242,
           52.0073127746582,
           51.987464904785156,
@@ -2225,11 +2348,13 @@
           51.92168426513672,
           51.91593933105469,
           51.90787124633789,
+          51.90597915649414,
           51.90872573852539,
           51.907081604003906,
           51.90804672241211,
           51.89841842651367,
           51.89495086669922,
+          51.89137268066406,
           51.84882736206055,
           51.81398391723633,
           51.81340408325195,
@@ -2300,6 +2425,7 @@
           51.43655776977539,
           52.5343132019043,
           52.35931396484375,
+          52.08742141723633,
           51.900596618652344,
           51.88408279418945,
           52.80923843383789,
@@ -2357,16 +2483,20 @@
           51.515838623046875,
           51.497745513916016,
           51.44691467285156,
+          52.61988830566406,
           52.38135528564453,
           52.25094223022461,
+          52.136741638183594,
           52.096763610839844,
           52.059669494628906,
           52.02598571777344,
           51.99468994140625,
           51.96249771118164,
           51.919883728027344,
+          51.91893768310547,
           51.91571044921875,
           51.90156555175781,
+          51.89107894897461,
           51.89240264892578,
           51.80917739868164,
           51.79912567138672,
@@ -2382,8 +2512,10 @@
          "legendgroup": "SecondarySchool",
          "lon": [
           0.432648628950119,
+          -0.2968933582305908,
           -0.5183594822883606,
           -0.48020437359809875,
+          -0.302474707365036,
           -0.27614372968673706,
           -0.7219104170799255,
           -0.11805745214223862,
@@ -2420,16 +2552,23 @@
           -0.25208061933517456,
           -0.8675526976585388,
           0.12039364129304886,
+          -0.557197630405426,
           0.12851426005363464,
           -0.9996857643127441,
           0.15177635848522186,
           0.16245171427726746,
           0.010766231454908848,
+          -0.5205984711647034,
+          -0.46342360973358154,
+          -0.43455007672309875,
+          -0.4439849257469177,
           0.163731187582016,
           -0.9932910203933716,
+          -0.48521125316619873,
           0.2719486653804779,
           0.44740211963653564,
           0.018495745956897736,
+          -0.5408597588539124,
           -0.25019320845603943,
           -0.05961648374795914,
           -0.7353598475456238,
@@ -2445,6 +2584,7 @@
           -0.4972866475582123,
           -1.3675485849380493,
           -0.6885068416595459,
+          -0.8115551471710205,
           -0.5014933347702026,
           -0.7898748517036438,
           0.2123403698205948,
@@ -2459,11 +2599,13 @@
           -0.4239227771759033,
           -0.646426260471344,
           -0.42790985107421875,
+          -0.3817628026008606,
           -0.6756889820098877,
           -0.6741673350334167,
           -1.144991397857666,
           -0.4679189920425415,
           -0.4673684239387512,
+          -0.42530307173728943,
           -1.3414182662963867,
           -0.8014715313911438,
           -0.8240591883659363,
@@ -2534,6 +2676,7 @@
           -1.0862468481063843,
           -0.2574698328971863,
           -1.2631831169128418,
+          -0.4687231481075287,
           -1.1606844663619995,
           -0.4094150960445404,
           0.01636032946407795,
@@ -2591,16 +2734,20 @@
           -0.7271063923835754,
           -0.5723676681518555,
           -1.00003182888031,
+          -0.27645400166511536,
           -0.6930214762687683,
           0.704181969165802,
+          -0.4969576299190521,
           -0.2503955066204071,
           -0.8228113055229187,
           -0.7534719109535217,
           -0.9839738607406616,
           -0.28305116295814514,
           -0.45223984122276306,
+          -0.47001248598098755,
           -0.665145754814148,
           -0.40613776445388794,
+          -0.38290849328041077,
           -0.7215818762779236,
           -0.7991041541099548,
           -0.8142937421798706,
@@ -2633,8 +2780,8 @@
         "mapbox": {
          "accesstoken": "pk.eyJ1Ijoic2dyZWVuYnVyeSIsImEiOiJjbG5kZWdhaTEwM3RtMmxuejA1eGVtanF2In0.3KEqlsxRdD0cQBiQhDpvDQ",
          "center": {
-          "lat": 52.03046798706055,
-          "lon": -0.6586889028549194
+          "lat": 52.03926467895508,
+          "lon": -0.647887110710144
          },
          "domain": {
           "x": [
@@ -3506,7 +3653,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -3530,7 +3677,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 600x600 with 1 Axes>"
       ]
@@ -3545,7 +3692,7 @@
     "    spc.people.unnest(\"demographics\")\n",
     "    .unnest(\"health\")\n",
     "    .select([\"age_years\", \"bmi\"])\n",
-    "    .filter(pl.col(\"bmi\") != None)\n",
+    "    .filter(pl.col(\"bmi\").is_not_null())\n",
     "    .to_numpy()\n",
     ")\n",
     "\n",
@@ -3618,26 +3765,27 @@
      "data": {
       "text/html": [
        "<div><style>\n",
-       ".dataframe > thead > tr > th,\n",
-       ".dataframe > tbody > tr > td {\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
        "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
        "}\n",
        "</style>\n",
-       "<small>shape: (5, 18)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>id</th><th>pmwalk</th><th>pmcycle</th><th>pmprivate</th><th>pmpublic</th><th>pmunknown</th><th>pleisure</th><th>bmi</th><th>has_cardiovascular_disease</th><th>has_diabetes</th><th>has_high_blood_pressure</th><th>self_assessed_health</th><th>life_satisfaction</th><th>age_years</th><th>sex</th><th>nssec8</th><th>pwkstat</th><th>salary_yearly</th></tr><tr><td>u64</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>bool</td><td>bool</td><td>bool</td><td>i32</td><td>i32</td><td>u32</td><td>i32</td><td>i32</td><td>i32</td><td>f32</td></tr></thead><tbody><tr><td>0</td><td>0.76923</td><td>0.0</td><td>0.76923</td><td>0.0</td><td>0.23077</td><td>0.04861</td><td>37.280968</td><td>false</td><td>false</td><td>false</td><td>1</td><td>3</td><td>40</td><td>2</td><td>6</td><td>7</td><td>null</td></tr><tr><td>1</td><td>0.26667</td><td>0.0</td><td>0.26667</td><td>0.73333</td><td>0.0</td><td>0.07639</td><td>35.771095</td><td>false</td><td>false</td><td>false</td><td>2</td><td>3</td><td>39</td><td>1</td><td>1</td><td>1</td><td>127906.320312</td></tr><tr><td>2</td><td>0.0</td><td>0.0</td><td>0.83333</td><td>0.0</td><td>0.16667</td><td>0.00694</td><td>null</td><td>false</td><td>false</td><td>false</td><td>1</td><td>null</td><td>7</td><td>2</td><td>null</td><td>0</td><td>null</td></tr><tr><td>3</td><td>0.0</td><td>0.0</td><td>0.9</td><td>0.0</td><td>0.1</td><td>0.05556</td><td>34.354729</td><td>true</td><td>true</td><td>true</td><td>4</td><td>3</td><td>66</td><td>1</td><td>4</td><td>6</td><td>null</td></tr><tr><td>4</td><td>0.6</td><td>0.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.08333</td><td>20.597435</td><td>false</td><td>false</td><td>false</td><td>3</td><td>null</td><td>60</td><td>2</td><td>1</td><td>1</td><td>64961.53125</td></tr></tbody></table></div>"
+       "<small>shape: (5, 18)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>id</th><th>pmwalk</th><th>pmcycle</th><th>pmprivate</th><th>pmpublic</th><th>pmunknown</th><th>pleisure</th><th>bmi</th><th>has_cardiovascular_disease</th><th>has_diabetes</th><th>has_high_blood_pressure</th><th>self_assessed_health</th><th>life_satisfaction</th><th>age_years</th><th>sex</th><th>nssec8</th><th>pwkstat</th><th>salary_yearly</th></tr><tr><td>u64</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>bool</td><td>bool</td><td>bool</td><td>i32</td><td>i32</td><td>u32</td><td>i32</td><td>i32</td><td>i32</td><td>f32</td></tr></thead><tbody><tr><td>0</td><td>0.5</td><td>0.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.09722</td><td>33.83572</td><td>true</td><td>false</td><td>true</td><td>4</td><td>1</td><td>64</td><td>2</td><td>2</td><td>6</td><td>null</td></tr><tr><td>1</td><td>0.0</td><td>0.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.03472</td><td>27.844835</td><td>false</td><td>false</td><td>false</td><td>3</td><td>3</td><td>63</td><td>1</td><td>2</td><td>1</td><td>40137.558594</td></tr><tr><td>2</td><td>0.0</td><td>0.0</td><td>0.66667</td><td>0.0</td><td>0.33333</td><td>0.1875</td><td>23.245779</td><td>false</td><td>false</td><td>false</td><td>2</td><td>3</td><td>16</td><td>2</td><td>7</td><td>2</td><td>6708.0</td></tr><tr><td>3</td><td>0.0</td><td>0.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>26.839546</td><td>true</td><td>false</td><td>true</td><td>2</td><td>4</td><td>86</td><td>1</td><td>7</td><td>6</td><td>null</td></tr><tr><td>4</td><td>0.15</td><td>0.0</td><td>0.6</td><td>0.0</td><td>0.4</td><td>0.02778</td><td>16.375051</td><td>false</td><td>false</td><td>false</td><td>2</td><td>null</td><td>43</td><td>2</td><td>3</td><td>7</td><td>null</td></tr></tbody></table></div>"
       ],
       "text/plain": [
        "shape: (5, 18)\n",
-       "┌─────┬─────────┬─────────┬───────────┬───┬─────┬────────┬─────────┬───────────────┐\n",
-       "│ id  ┆ pmwalk  ┆ pmcycle ┆ pmprivate ┆ … ┆ sex ┆ nssec8 ┆ pwkstat ┆ salary_yearly │\n",
-       "│ --- ┆ ---     ┆ ---     ┆ ---       ┆   ┆ --- ┆ ---    ┆ ---     ┆ ---           │\n",
-       "│ u64 ┆ f32     ┆ f32     ┆ f32       ┆   ┆ i32 ┆ i32    ┆ i32     ┆ f32           │\n",
-       "╞═════╪═════════╪═════════╪═══════════╪═══╪═════╪════════╪═════════╪═══════════════╡\n",
-       "│ 0   ┆ 0.76923 ┆ 0.0     ┆ 0.76923   ┆ … ┆ 2   ┆ 6      ┆ 7       ┆ null          │\n",
-       "│ 1   ┆ 0.26667 ┆ 0.0     ┆ 0.26667   ┆ … ┆ 1   ┆ 1      ┆ 1       ┆ 127906.320312 │\n",
-       "│ 2   ┆ 0.0     ┆ 0.0     ┆ 0.83333   ┆ … ┆ 2   ┆ null   ┆ 0       ┆ null          │\n",
-       "│ 3   ┆ 0.0     ┆ 0.0     ┆ 0.9       ┆ … ┆ 1   ┆ 4      ┆ 6       ┆ null          │\n",
-       "│ 4   ┆ 0.6     ┆ 0.0     ┆ 1.0       ┆ … ┆ 2   ┆ 1      ┆ 1       ┆ 64961.53125   │\n",
-       "└─────┴─────────┴─────────┴───────────┴───┴─────┴────────┴─────────┴───────────────┘"
+       "┌─────┬────────┬─────────┬───────────┬───┬─────┬────────┬─────────┬───────────────┐\n",
+       "│ id  ┆ pmwalk ┆ pmcycle ┆ pmprivate ┆ … ┆ sex ┆ nssec8 ┆ pwkstat ┆ salary_yearly │\n",
+       "│ --- ┆ ---    ┆ ---     ┆ ---       ┆   ┆ --- ┆ ---    ┆ ---     ┆ ---           │\n",
+       "│ u64 ┆ f32    ┆ f32     ┆ f32       ┆   ┆ i32 ┆ i32    ┆ i32     ┆ f32           │\n",
+       "╞═════╪════════╪═════════╪═══════════╪═══╪═════╪════════╪═════════╪═══════════════╡\n",
+       "│ 0   ┆ 0.5    ┆ 0.0     ┆ 1.0       ┆ … ┆ 2   ┆ 2      ┆ 6       ┆ null          │\n",
+       "│ 1   ┆ 0.0    ┆ 0.0     ┆ 1.0       ┆ … ┆ 1   ┆ 2      ┆ 1       ┆ 40137.558594  │\n",
+       "│ 2   ┆ 0.0    ┆ 0.0     ┆ 0.66667   ┆ … ┆ 2   ┆ 7      ┆ 2       ┆ 6708.0        │\n",
+       "│ 3   ┆ 0.0    ┆ 0.0     ┆ 1.0       ┆ … ┆ 1   ┆ 7      ┆ 6       ┆ null          │\n",
+       "│ 4   ┆ 0.15   ┆ 0.0     ┆ 0.6       ┆ … ┆ 2   ┆ 3      ┆ 7       ┆ null          │\n",
+       "└─────┴────────┴─────────┴───────────┴───┴─────┴────────┴─────────┴───────────────┘"
       ]
      },
      "execution_count": 21,
@@ -3680,7 +3828,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 600x600 with 6 Axes>"
       ]
@@ -3733,7 +3881,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 400x600 with 6 Axes>"
       ]
@@ -3779,7 +3927,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjIAAAGwCAYAAACzXI8XAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAABKBUlEQVR4nO3deVxU9f4/8NdhgBlCFnEBkUW4LqiI+0KW1wrj9jWX4vYtoyKvt7430QQsr/ZzKTNRyyITUcuHS0reNvebaJRyLVe4GGZupYIiuCUINYAz5/cHMTQBCjNn+MwZXs/HYx4POJ+ZM2+O48xrPudzPh9JlmUZRERERCrkJLoAIiIiIksxyBAREZFqMcgQERGRajHIEBERkWoxyBAREZFqMcgQERGRajHIEBERkWo5iy7A1oxGIwoLC+Hh4QFJkkSXQ0RERI0gyzJu3rwJf39/ODk13O/i8EGmsLAQgYGBossgIiIiCxQUFCAgIKDBdocPMh4eHgCqD4Snp6fgaoiIiKgxSktLERgYaPocb4jDB5ma00menp4MMkTU7IYNG2b6OSsrS2AlROp0p2EhHOxLRGQjvw8x9f1ORNZjkCEiIiLVcvhTS7YmyzL0er1Vj6+oqAAAaLVaq6+s0ul0qrw6y9rjWLMPpY6lWo8jwGNpLxrqfRk2bFiLO8XE1yTZEoOMlfR6PaKjo0WXYZKRkQE3NzfRZTQZj6NyeCzFu9MppJYWZviaJFviqSUiIiJSLUmWZVl0EbZUWloKLy8vlJSU2OSqJWu7TPV6PcaMGQMA2LJlC3Q6nVX1qLXLVImuZyWPpVqPI8BjaQ8aM6i3JfXI8DVJlmjs5zdPLVlJkiTFuih1Ol2L7e5U8jgCPJY8lmRP+JokW+KpJSIiIlItBhkiIoXd6bRRSzqtRGRrDDJERDbQUFhhiCFSFoMMERERqRaDDBGRjfyx94W9MUTKExpkDAYDZs2ahZCQELi5ueFPf/oTXn/9dfz+inBZljF79mx06NABbm5uiIqKwunTpwVWTURERPZCaJBZuHAh0tLSsHTpUvzwww9YuHAhFi1ahPfee890n0WLFmHJkiVYvnw5Dh48CHd3d0RHR1s9JwERka0999xzt/2diKwndB6Zb7/9FmPGjMHIkSMBAJ06dcJHH32EQ4cOAajujUlJScHMmTNNEyGtW7cOvr6+2Lx5M5544ok6+6yoqDCtxwFUT6hDRCTCyZMnb/s7EVlPaI/M3XffjczMTJw6dQoAcPToUezbtw8PPfQQAODs2bMoKipCVFSU6TFeXl4YPHgw9u/fX+8+k5OT4eXlZboFBgba/g8hIvqD2y0aSUTKERpkpk+fjieeeAJhYWFwcXFB3759kZCQgNjYWABAUVERAMDX19fscb6+vqa2P5oxYwZKSkpMt4KCAtv+EUREf/Djjz9a1U5EjSf01NLHH3+MDRs2ID09HT179kRubi4SEhLg7++PuLg4i/ap1Wqh1WoVrpSIqPHGjx9/x3ZewUSkDKE9Mi+//LKpV6ZXr154+umnkZiYiOTkZACAn58fAKC4uNjsccXFxaY2IiJ7M2/ePKvaiajxhAaZX375BU5O5iVoNBoYjUYAQEhICPz8/JCZmWlqLy0txcGDBxEZGdmstRIRNdbMmTOtaieixhMaZEaNGoU33ngDO3bswLlz57Bp0ya8/fbbeOSRRwBUr5iakJCAefPmYevWrcjLy8MzzzwDf39/jB07VmTpREQNevfdd61qJ6LGEzpG5r333sOsWbMwceJEXL58Gf7+/vi///s/zJ4923SfadOmoby8HM8//zxu3LiBe+65Bzt37oROpxNYORFRw6ZMmXLHdo6RIVKG0CDj4eGBlJQUpKSkNHgfSZIwd+5czJ07t/kKIyIiIlXgWktERAp76623rGonosYT2iNDROSIXnrppTu289QSWUKWZauX6JFl2TQDvlarhSRJFu9Lp9NZ9XglMMgQESls6tSpWLx48W3biSyh1+sRHR0tugyTjIwMuLm5Ca2hRQcZJZKttX7//KJrAewjXROp3e1CTE17zfpxRGSdFh1k7C3Z2sMbmz2kayK1mzBhAlatWnXbdiJL6HQ6ZGRkWLUPvV5v+rzZsmWLVVcB28MVxC06yBAR2cLtQkxNu6XLsFDLJkmSol82dTqd6r+8Msj8prxfLOAk4HDIMmC8Vf2zkzMg4rSO8RbcczY0//MSOagpU6bcdtK7O80zQ46LQxrqsnZIA4NMDSdnQOMi6MldBT0vEdlCY2b2jYmJaaZqyJ5wSENd1g5pYJAhsjP8xlYXB6ETUUMYZIjsDL+x1aW2Qejz58/HK6+8ctt2ouEd20IjIKDLsgyjXP2zkwQhXxIMsow9F68qsi8GGSIihd0uxNS0c0I80kgSnJ1E9DTaQe+mUbldMcgQ2THDKIOY/6UyAMNvP2sg5n3vFqDZphHwxESkJgwyRPbMGeL+l4oa+05E1ARcNJKIiIhUi0GGiIiIVIunloiIGmDLS+F//fXXJj9G1GXonBKgLk4JYD8YZIiIGmDLS+Et2a+oy9A5JUBdapsSwJHx1BIRERGpFntkiIgaYM1Kw7frwbB0n/aw0vDoPhPh7NT8l7TJsgzDb+vSaZychZzWuWWswtbcZc3+vHR7DDJERA2wZqXhrKwsDBs2rN7taubs5AJnjZj14VygFfK8ZN94aomIiIhUi0GGiMhG/ngKSe29MUT2yKIgU1BQgAsXLph+P3ToEBISErBy5UrFCiMiciSWjoshotuzaIzMk08+ieeffx5PP/00ioqKMGLECPTs2RMbNmxAUVERZs+erXSdtmeoEl2BOC35byciIlWzKMgcO3YMgwYNAgB8/PHHCA8PxzfffINdu3bhH//4hyqDjPt/00WXQERERE1k0amlqqoqaLXVo8e//PJLjB49GgAQFhaGS5cuNWlfFy9exFNPPYU2bdrAzc0NvXr1wpEjR0ztsixj9uzZ6NChA9zc3BAVFYXTp09bUjYRERE5GIt6ZHr27Inly5dj5MiR2L17N15//XUAQGFhIdq0adPo/fz8888YOnQo7rvvPnzxxRdo164dTp8+jdatW5vus2jRIixZsgRr165FSEgIZs2ahejoaBw/flzRORXK+z4JaFrocr+GKvZIERGRKlkUZBYuXIhHHnkEb775JuLi4tC7d28AwNatW02nnBq7n8DAQKxevdq0LSQkxPSzLMtISUnBzJkzTVNSr1u3Dr6+vti8eTOeeOKJOvusqKhARUWF6ffS0tLGFaNxablBhoiISKWaHGRkWUZoaCjy8/Nx69Yts96T559/HnfddVej97V161ZER0fjsccew969e9GxY0dMnDgRzz33HADg7NmzKCoqQlRUlOkxXl5eGDx4MPbv319vkElOTsZrr73W1D+LrMRF5erionJERLZnUZDp3Lkzvv/+e3Tp0sWsrVOnTk3a108//YS0tDQkJSXhlVdeweHDh/Hiiy/C1dUVcXFxKCoqAgD4+vqaPc7X19fU9kczZsxAUlKS6ffS0lIEBgY2qS5qOi4qVxcXlSMisr0mBxknJyd06dIF165dqxNkmspoNGLAgAGYP38+AKBv3744duwYli9fjri4OIv2qdVqTQORiYiIyLFZNEZmwYIFePnll5GWlobw8HCLn7xDhw7o0aOH2bbu3bvjs88+AwD4+fkBAIqLi9GhQwfTfYqLi9GnTx+Ln5dsK3XYDWg1crM/rywDlcbqn12dABFndSoMEuKzvJv/iYmIWiiLgswzzzyDX375Bb1794arq2ud7vPr1683aj9Dhw7FyZMnzbadOnUKwcHBAKoH/vr5+SEzM9MUXEpLS3Hw4EG88MILlpROzUCrkaHTiHlu8Sdymj/AERG1ZBYFmZSUFEWePDExEXfffTfmz5+P//3f/8WhQ4ewcuVK01IHkiQhISEB8+bNQ5cuXUyXX/v7+2Ps2LGK1EBERETqZVGQsXT8yh8NHDgQmzZtwowZMzB37lyEhIQgJSUFsbGxpvtMmzYN5eXleP7553Hjxg3cc8892Llzp6JzyBAREZE6WRRkfk+v16OystJsm6enZ6Mf//DDD+Phhx9usF2SJMydOxdz5861uEYiIiJyTBYtUVBeXo5Jkyahffv2cHd3R+vWrc1uRERERM3BoiAzbdo0fPXVV0hLS4NWq8UHH3yA1157Df7+/li3bp3SNRIRERHVy6JTS9u2bcO6deswfPhwjB8/Hvfeey86d+6M4OBgbNiwwWyMCxEREZGtWBRkrl+/jtDQUADV42FqLre+5557eFk0ERFRIxiMLXe6BiX/douCTGhoKM6ePYugoCCEhYXh448/xqBBg7Bt2zZ4e3srVhwREZGj2lN4VXQJDsGiMTLjx4/H0aNHAQDTp09HamoqdDodEhMT8fLLLytaIBEREVFDLOqRSUxMNP0cFRWFEydOIDs7G507d0ZERIRixRERETmq4f5toXESsJaKHTAYZcV6pBSZRyY4ONi0rAARERHdmcZJgnMLDTJKsijIGAwGzJ8/H8uXL0dxcTFOnTqF0NBQzJo1C506dcKECROUrtP2jLfEPK8s1z63k7OYlQ5F/e1ERERWsijIvPHGG1i7di0WLVqE5557zrQ9PDwcKSkpqgwy7jkbRJdARERETWTRYN9169Zh5cqViI2NhUZTu8xx7969ceLECcWKIyIiIrodi3pkLl68iM6dO9fZbjQaUVVVZXVRzUWn0yEjI0NoDXq9HmPGjAEAbNmyRfhimKKfn4iIqCksCjI9evTAf/7znzoDfD/99FP07dtXkcKagyRJcHNzE12GiU6ns6t6iIiI7J1FQWb27NmIi4vDxYsXYTQa8fnnn+PkyZNYt24dtm/frnSNRERERPWyaIzMmDFjsG3bNnz55Zdwd3fH7Nmz8cMPP2Dbtm0YMWKE0jUSERER1cvieWTuvfde7N69W8laiIiIiJrEoh6ZuLg4ZGVlKV0LEf3RrRZ+IyK6A4t6ZEpKShAVFYXg4GCMHz8ecXFx6Nixo9K1kUpVGERXII7Sf7tmm+bOdyIiasEsCjKbN2/GlStX8OGHH2Lt2rWYM2cOoqKiMGHCBIwZMwYuLi5K10kqEp/VWnQJRETUQlg8RqZdu3ZISkpCUlIScnJysHr1ajz99NNo1aoVnnrqKUycOBFdunRRslaiFscwyqDAimgqdYs9UkR0Z1a/RV66dAm7d+/G7t27odFo8D//8z/Iy8tDjx49sGjRIrOVsqllSB32M7Qt9POnwqBwj5QzWm6QISJqBIveIquqqrB161asXr0au3btQkREBBISEvDkk0/C09MTALBp0yb87W9/Y5BpgbQaQNdCgwyRo7tlUM/s7UpryX+7PbMoyHTo0AFGoxHjxo3DoUOH0KdPnzr3ue++++Dt7W1leUREZE+2Hl0mugQiMxYFmXfeeQePPfbYbdfl8fb2xn/+8x8YjUY4OVl0lTcRERHRbVkUZJ5++ulG3a9Hjx7Izc1FaGioJU9DRER2ZnTviXDWtMwrU28ZqtgjZYds2lUiy3Kj77tgwQJIkoSEhATTNr1ej/j4eLRp0watWrVCTEwMiouLbVApERE1hrPGBc4a1xZ6a5kBzt7ZxTmfw4cPY8WKFYiIiDDbnpiYiG3btuGTTz7B3r17UVhYiEcffVRQlURERGRvhAeZsrIyxMbG4v3330fr1rWXrZaUlGDVqlV4++23cf/996N///5YvXo1vv32Wxw4cKDB/VVUVKC0tNTsRkRERI5J+AwV8fHxGDlyJKKiojBv3jzT9uzsbFRVVSEqKsq0LSwsDEFBQdi/fz+GDBlS7/6Sk5Px2muv2bxuIqKW6JZRzCXIsizDYKxegEvj5AxJkpq9BlF/O92eTYPMnV5oGzduRE5ODg4fPlynraioCK6urnUu4fb19UVRUVGD+5wxYwaSkpJMv5eWliIwMLBphRMRUb225nKwK9kXmwaZ2w32LSgowJQpU7B79+7bXsbdVFqtFlqtVrH9ERERkf2yKsicOXMGP/74I4YNGwY3NzfIsmzWC3P8+HH4+/vX+9js7GxcvnwZ/fr1M20zGAzIysrC0qVLkZGRgcrKSty4ccOsV6a4uBh+fn7WlE1ERE2g0+mQkZEhtAa9Xo8xY8YAALZs2aLoF2BLiH5+qmVRkLl27Roef/xxfPXVV5AkCadPn0ZoaCgmTJiA1q1bY/HixQBw21M6DzzwAPLy8sy2jR8/HmFhYfjnP/+JwMBAuLi4IDMzEzExMQCAkydPIj8/H5GRkZaUTUREFpAkCW5ubqLLMNHpdHZVD4llUZBJTEyEs7Mz8vPz0b17d9P2xx9/HElJSaYgczseHh4IDw832+bu7o42bdqYtk+YMAFJSUnw8fGBp6cnJk+ejMjIyAYH+hIREVHLYlGQ2bVrFzIyMhAQEGC2vUuXLjh//rwihQHVSyE4OTkhJiYGFRUViI6OxrJlHGhGRERE1SwKMuXl5bjrrrvqbL9+/bpVA2337Nlj9rtOp0NqaipSU1Mt3icRtUyyLEOv1wut4ffPL7oWoPo9VcRly0S2ZFGQuffee7Fu3Tq8/vrrAKrPnxqNRixatAj33XefogUSEVlCr9cjOjpadBkmNQNVRcrIyODYEnI4FgWZRYsW4YEHHsCRI0dQWVmJadOm4fvvv8f169fxzTffKF0jERERUb0sCjLh4eE4deoUli5dCg8PD5SVleHRRx9FfHw8OnTooHSNRERW+ScAVwHPKwOomQvWBYCIkzqVABYKeF6i5mLxPDJeXl74f//v/ylZCxGRTbgCcBUSIwDx03M2PDEpkSOwKMh899139W6XJAk6nQ5BQUGcXZeIiIhszqIg06dPH9PI95plCH4/Et7FxQWPP/44VqxYwdkPiYiIyGacLHnQpk2b0KVLF6xcuRJHjx7F0aNHsXLlSnTr1g3p6elYtWoVvvrqK8ycOVPpeomIiIhMLOqReeONN/Duu++aXdrYq1cvBAQEYNasWTh06BDc3d0xdepUvPXWW4oVS0RERPR7FvXI5OXlITg4uM724OBg0/pJffr0waVLl6yrjoiIiOg2LAoyYWFhWLBgASorK03bqqqqsGDBAoSFhQEALl68CF9fX2WqJCIiIqqHRaeWUlNTMXr0aAQEBCAiIgJAdS+NwWDA9u3bAQA//fQTJk6cqFylRC3RLUHPKwMw/PazBmImQBH1txORqlgUZO6++26cPXsWGzZswKlTpwAAjz32GJ588kl4eHgAAJ5++mnlqiRqoTTbNKJLICKyaxZPiOfh4YFhw4ahU6dOplNMX3/9NQBg9OjRylRHREREdBsWBZmffvoJjzzyCPLy8iBJEmRZNptHxmAw3ObRRHQ7Op0OGRkZQmvQ6/WmRQ63bNkifD4o0c9PRPbLoiAzZcoUhISEIDMzEyEhITh48CCuX7/Oy62JFCBJkl2tUKzT6eyqHiKi37MoyOzfvx9fffUV2rZtCycnJ2g0Gtxzzz1ITk7Giy++iP/+979K10lERERUh0VBxmAwmAb1tm3bFoWFhejWrRuCg4Nx8uRJRQskIiJyRAZZBozN/7yyLMP421qiTpL5EkPNxSArt5ipRUEmPDwcR48eRUhICAYPHoxFixbB1dUVK1euRGhoqGLFEREROao9F6+KLsEhWBRkZs6cifLycgDA3Llz8fDDD+Pee+9FmzZt8K9//UvRAomIiIgaYlGQ+f0aS507d8aJEydw/fp1tG7dWkgXFdmXCoOE6hnVmpcsA5W/ddO6OgEiXorVfzsRUf14VWJd1j6/xfPI/JGPj49SuyKVi8/yFl0CEZFd4lWJyrNorSUiIiIie6BYjwy1bOwurUv08xMRtQQMMqQIdpcSEZEIPLVEREREqiU0yCQnJ2PgwIHw8PBA+/btMXbs2DoT6un1esTHx6NNmzZo1aoVYmJiUFxcLKhiIiIisidCg8zevXsRHx+PAwcOYPfu3aiqqsKDDz5omqMGABITE7Ft2zZ88skn2Lt3LwoLC/Hoo48KrJqIiIjshdAxMjt37jT7fc2aNWjfvj2ys7MxbNgwlJSUYNWqVUhPT8f9998PAFi9ejW6d++OAwcOYMiQIXX2WVFRgYqKCtPvpaWltv0jiIiISBi7GiNTUlICoHZOmuzsbFRVVSEqKsp0n7CwMAQFBWH//v317iM5ORleXl6mW2BgoO0LJyIiIiHsJsgYjUYkJCRg6NChCA8PBwAUFRXB1dUV3t7eZvf19fVFUVFRvfuZMWMGSkpKTLeCggJbl05ERESC2M3l1/Hx8Th27Bj27dtn1X60Wi20Wq1CVREREZE9s4semUmTJmH79u34+uuvERAQYNru5+eHyspK3Lhxw+z+xcXF8PPza+YqiYiIyN4I7ZGRZRmTJ0/Gpk2bsGfPHoSEhJi19+/fHy4uLsjMzERMTAwA4OTJk8jPz0dkZKSIkolIhSoBiFjI1B5Uii6AyMaEBpn4+Hikp6djy5Yt8PDwMI178fLygpubG7y8vDBhwgQkJSXBx8cHnp6emDx5MiIjI+u9YomIqD4LRRdARDYjNMikpaUBAIYPH262ffXq1Xj22WcBAO+88w6cnJwQExODiooKREdHY9myZc1cacNkWYZer7f48b9/rDX7qaHT6SBJktX7ISJSirXvk4Cy75Vqfp/ksaxL+KmlO9HpdEhNTUVqamozVNR0er0e0dHRiuyrZsFDa2RkZHCNIaI/+CcAV9FFCFIJ8T1SSr5PAta/V6r5fZLHsi67uWqJiMhWXAG4Qp3fwK3XMscGUcvBIGMlnU6HjIwMix8vy7JpJmKtVmt1F51Op7Pq8USOSNRgXxlA1W8/uwBCopQ9DPa19n0SUPa9Us3vkzyWdTHIWEmSJKu71e666y6FqiGi+og+tdLSKfE+CfC9EuCxrI9dzCNDREREZAn2yBCRQ1KiC95aer3eNJhyy5YtwrvhRT8/kS0wyBCRQ1KqC14pOp3OruohchQ8tURERESqxR4ZIgfDCbOUwwkviewfgwyRg+GEWcrhhJdE9o+nloiIiEi12CND5GA4YZZyOOElkf1jkCFyMJwwSzmc8JLI/vHUEhEREakWgwwRERGpFoMMERERqRaDDBEREakWgwwRERGpFoMMERERqRYvvya7wGn1iYjIEgwyZBc4rT4REVmCp5aIiIhItdgjQ3aB0+oTEZElGGTILnBafSIisgRPLREREZFqMcgQERGRajHIEBERkWo5/BgZWZYBAKWlpYIrISIiosaq+dyu+RxviMMHmZs3bwIAAgMDBVdCRERETXXz5k14eXk12C7Jd4o6Kmc0GlFYWAgPDw+7nam1tLQUgYGBKCgogKenp+hyVI3HUjk8lsrgcVQOj6Vy1HAsZVnGzZs34e/vDyenhkfCOHyPjJOTEwICAkSX0Sienp52+4JSGx5L5fBYKoPHUTk8lsqx92N5u56YGhzsS0RERKrFIENERESqxSBjB7RaLebMmQOtViu6FNXjsVQOj6UyeByVw2OpHEc6lg4/2JeIiIgcF3tkiIiISLUYZIiIiEi1GGSIiIhItRhkiIiISLUYZOxAamoqOnXqBJ1Oh8GDB+PQoUOiS1KdrKwsjBo1Cv7+/pAkCZs3bxZdkiolJydj4MCB8PDwQPv27TF27FicPHlSdFmqlJaWhoiICNOEY5GRkfjiiy9El6V6CxYsgCRJSEhIEF2K6rz66quQJMnsFhYWJrosqzHICPavf/0LSUlJmDNnDnJyctC7d29ER0fj8uXLoktTlfLycvTu3RupqamiS1G1vXv3Ij4+HgcOHMDu3btRVVWFBx98EOXl5aJLU52AgAAsWLAA2dnZOHLkCO6//36MGTMG33//vejSVOvw4cNYsWIFIiIiRJeiWj179sSlS5dMt3379okuyWq8/FqwwYMHY+DAgVi6dCmA6rWhAgMDMXnyZEyfPl1wdeokSRI2bdqEsWPHii5F9a5cuYL27dtj7969GDZsmOhyVM/HxwdvvvkmJkyYILoU1SkrK0O/fv2wbNkyzJs3D3369EFKSoroslTl1VdfxebNm5Gbmyu6FEWxR0agyspKZGdnIyoqyrTNyckJUVFR2L9/v8DKiKqVlJQAqP4AJssZDAZs3LgR5eXliIyMFF2OKsXHx2PkyJFm75fUdKdPn4a/vz9CQ0MRGxuL/Px80SVZzeEXjbRnV69ehcFggK+vr9l2X19fnDhxQlBVRNWMRiMSEhIwdOhQhIeHiy5HlfLy8hAZGQm9Xo9WrVph06ZN6NGjh+iyVGfjxo3IycnB4cOHRZeiaoMHD8aaNWvQrVs3XLp0Ca+99hruvfdeHDt2DB4eHqLLsxiDDBHVKz4+HseOHXOIc+iidOvWDbm5uSgpKcGnn36KuLg47N27l2GmCQoKCjBlyhTs3r0bOp1OdDmq9tBDD5l+joiIwODBgxEcHIyPP/5Y1ac7GWQEatu2LTQaDYqLi822FxcXw8/PT1BVRMCkSZOwfft2ZGVlISAgQHQ5quXq6orOnTsDAPr374/Dhw/j3XffxYoVKwRXph7Z2dm4fPky+vXrZ9pmMBiQlZWFpUuXoqKiAhqNRmCF6uXt7Y2uXbvizJkzokuxCsfICOTq6or+/fsjMzPTtM1oNCIzM5Pn0UkIWZYxadIkbNq0CV999RVCQkJEl+RQjEYjKioqRJehKg888ADy8vKQm5trug0YMACxsbHIzc1liLFCWVkZfvzxR3To0EF0KVZhj4xgSUlJiIuLw4ABAzBo0CCkpKSgvLwc48ePF12aqpSVlZl9qzh79ixyc3Ph4+ODoKAggZWpS3x8PNLT07FlyxZ4eHigqKgIAODl5QU3NzfB1anLjBkz8NBDDyEoKAg3b95Eeno69uzZg4yMDNGlqYqHh0edMVru7u5o06YNx2410UsvvYRRo0YhODgYhYWFmDNnDjQaDcaNGye6NKswyAj2+OOP48qVK5g9ezaKiorQp08f7Ny5s84AYLq9I0eO4L777jP9npSUBACIi4vDmjVrBFWlPmlpaQCA4cOHm21fvXo1nn322eYvSMUuX76MZ555BpcuXYKXlxciIiKQkZGBESNGiC6NWqgLFy5g3LhxuHbtGtq1a4d77rkHBw4cQLt27USXZhXOI0NERESqxTEyREREpFoMMkRERKRaDDJERESkWgwyREREpFoMMkRERKRaDDJERESkWgwyREREpFoMMkRERKRaDDJEZBckScLmzZtFl0FEKsMgQ0TNoqioCJMnT0ZoaCi0Wi0CAwMxatQos0VTlbJnzx5IkoQbN24ovm8isi9ca4mIbO7cuXMYOnQovL298eabb6JXr16oqqpCRkYG4uPjceLECdEl1kuWZRgMBjg7862SyF6xR4aIbG7ixImQJAmHDh1CTEwMunbtip49eyIpKQkHDhyoc//6elRyc3MhSRLOnTsHADh//jxGjRqF1q1bw93dHT179sS///1vnDt3zrSAaOvWrSFJkmnBS6PRiOTkZISEhMDNzQ29e/fGp59+Wud5v/jiC/Tv3x9arRb79u2z2XEhIuvxawYR2dT169exc+dOvPHGG3B3d6/T7u3tbdF+4+PjUVlZiaysLLi7u+P48eNo1aoVAgMD8dlnnyEmJgYnT56Ep6cn3NzcAADJyclYv349li9fji5duiArKwtPPfUU2rVrhz//+c+mfU+fPh1vvfUWQkND0bp1a4vqI6LmwSBDRDZ15swZyLKMsLAwRfebn5+PmJgY9OrVCwAQGhpqavPx8QEAtG/f3hSUKioqMH/+fHz55ZeIjIw0PWbfvn1YsWKFWZCZO3cuRowYoWi9RGQbDDJEZFOyLNtkvy+++CJeeOEF7Nq1C1FRUYiJiUFERESD9z9z5gx++eWXOgGlsrISffv2Nds2YMAAm9RMRMpjkCEim+rSpQskSWrSgF4np+rhe78PQVVVVWb3+fvf/47o6Gjs2LEDu3btQnJyMhYvXozJkyfXu8+ysjIAwI4dO9CxY0ezNq1Wa/Z7fafAiMg+cbAvEdmUj48PoqOjkZqaivLy8jrt9V0i3a5dOwDApUuXTNtyc3Pr3C8wMBD/+Mc/8Pnnn2Pq1Kl4//33AQCurq4AAIPBYLpvjx49oNVqkZ+fj86dO5vdAgMDrfkTiUggBhkisrnU1FQYDAYMGjQIn332GU6fPo0ffvgBS5YsMY1X+b2acPHqq6/i9OnT2LFjBxYvXmx2n4SEBGRkZODs2bPIycnB119/je7duwMAgoODIUkStm/fjitXrqCsrAweHh546aWXkJiYiLVr1+LHH39ETk4O3nvvPaxdu7ZZjgMRKY9BhohsLjQ0FDk5ObjvvvswdepUhIeHY8SIEcjMzERaWlqd+7u4uOCjjz7CiRMnEBERgYULF2LevHlm9zEYDIiPj0f37t3xl7/8BV27dsWyZcsAAB07dsRrr72G6dOnw9fXF5MmTQIAvP7665g1axaSk5NNj9uxYwdCQkJsfxCIyCYk2VYj8YiIiIhsjD0yREREpFoMMkRERKRaDDJERESkWgwyREREpFoMMkRERKRaDj+zr9FoRGFhITw8PCBJkuhyiIiIqBFkWcbNmzfh7+9vmu27Pg4fZAoLCzlrJxERkUoVFBQgICCgwXahQcZgMODVV1/F+vXrUVRUBH9/fzz77LOYOXOmqfdElmXMmTMH77//Pm7cuIGhQ4ciLS0NXbp0adRzeHh4AKg+EJ6enjb7W4iIiEg5paWlCAwMNH2ON0RokFm4cCHS0tKwdu1a9OzZE0eOHMH48ePh5eWFF198EQCwaNEiLFmyBGvXrkVISAhmzZqF6OhoHD9+HDqd7o7PUROIPD09GWRagG+++QYpKSlISEjA0KFDRZdDRERWutOwEKEz+z788MPw9fXFqlWrTNtiYmLg5uaG9evXQ5Zl+Pv7Y+rUqXjppZcAACUlJfD19cWaNWvwxBNP3PE5SktL4eXlhZKSEgYZB6fX6/Hkk0/i6tWraNu2LdLT0xsVdomIyP409vNb6FVLd999NzIzM3Hq1CkAwNGjR7Fv3z489NBDAICzZ8+iqKgIUVFRpsd4eXlh8ODB2L9/f737rKioQGlpqdmNWob169fj2rVrAIBr165hw4YNgisiIiJbExpkpk+fjieeeAJhYWFwcXFB3759kZCQgNjYWABAUVERAMDX19fscb6+vqa2P0pOToaXl5fpxoG+LcOFCxewYcMG1HQwyrKMDRs24MKFC4IrIyIiWxIaZD7++GNs2LAB6enpyMnJwdq1a/HWW29h7dq1Fu9zxowZKCkpMd0KCgoUrJjskSzLeOeddxrcznVRiYgcl9DBvi+//LKpVwYAevXqhfPnzyM5ORlxcXHw8/MDABQXF6NDhw6mxxUXF6NPnz717lOr1UKr1dq8drIf58+fx+HDh+tsNxgMOHz4MM6fP49OnTo1f2FERGRzQntkfvnllzqT3Gg0GhiNRgBASEgI/Pz8kJmZaWovLS3FwYMHERkZ2ay1kv0KDg7GwIEDodFozLZrNBoMGjQIwcHBgiojIiJbExpkRo0ahTfeeAM7duzAuXPnsGnTJrz99tt45JFHAFRfcpWQkIB58+Zh69atyMvLwzPPPAN/f3+MHTtWZOlkRyRJQmJiYoPbOaMzEZHjEnpq6b333sOsWbMwceJEXL58Gf7+/vi///s/zJ4923SfadOmoby8HM8//zxu3LiBe+65Bzt37uRltWQmICAAsbGx+PDDDyHLMiRJQmxsLDp27Ci6NCIisiGh88g0B84j03L8fh6Zdu3aYcOGDQy8REQqpYp5ZIiUpNPpMHXqVPj6+iIpKYkhhoioBWCQISIiItVikCGHodfrsXjxYhQXF2Px4sXQ6/WiSyIiIhtjkCGHsX79ely9ehUAcPXqVS5RQETUAjDIkEO4cOEC1q9fb7Zt/fr1XKKAiMjBMciQ6jW0FIHRaOQSBUREDo5BhlSvZomCPwYWWZZNSxQQEZFjYpAh1QsKCmpwjgFPT08EBQU1c0VERNRcGGRI9fLz81FaWlpvW2lpKfLz85u5IiIiai4MMqR6wcHB6NWrV71tERERXDSSiMiBMciQQ+DCkMr75ptv8Nhjj+Gbb74RXQoRUYMYZEj1zp8/j++++67etu+++46DfS2g1+sxf/58FBcXY/78+Zxc0AoMhES2xSBDqhcYGAiNRlNvm0ajQWBgYDNXpH5r1qzBzZs3AQA3b97E2rVrBVekTpxtmsj2GGTsAL+xWefAgQMwGAz1thkMBhw4cKCZK1K3Cxcu4KOPPjLblp6ezskFLbB+/Xpcu3YNAHDt2jXONk1kAwwygvEbm/WGDBly2x6ZIUOGNHNF6iXLMpKTk+udk6e+7dSwCxcuYMOGDaZjJssyNmzYwEBIpDAGGcH4jc16BQUFt+2RKSgoaOaK1OvcuXPIy8urty0vLw/nzp1r3oJUqma26Ya2MxASKYdBRiB+Y1MGx8iQvamZbfqPAdtgMHC2aSt88MEHGD58OD744APRpZAdYZARhOsDKYdjZJRzp9cdX5eNExwcjIEDB9YJ2BqNBoMGDeLcRha4ceMGPvzwQxiNRnz44Ye4ceOG6JLITjDICFLzjc1oNJptNxqN/MbWRL6+vla1U607zcfD+XoaR5IkJCYmNridx7HpZsyYYdZ7/corrwiuiOwFg4wgwcHB6NatW71tYWFh/MbWBMXFxVa1U61OnTohIiKi3rbevXujU6dOzVuQigUEBCA2NtZsW2xsLDp27CioIvU6cuQIvv/+e7Ntx44dw5EjRwRVRPaEQUYQWZZx8eLFetsuXLjALvwmYI+MciRJwsiRI+ttGzlyJHsSmuivf/0rnJyq32adnJwQExMjuCL1MRqNmD17dr1ts2fPrtOrTS0Pg4wg+/fvR1lZWb1tZWVl2L9/fzNXpF7skVGO0WjEe++9V2/bkiVL+KHRRJ9++qnpmBmNRnz22WeCK1IfvlfahiPNX8YgI8jgwYOtaqda7du3t6qdavFDQzk1VyX+3vr163lVYhN16NDBqnaqy9HmL2OQEeTgwYNWtVOt3Nxcq9qplp+fn1XtVK3mqsT6Lr/mVYlNc6fxghxP2HSONn8Zg4wg/JahnCtXrljVTrVqxnNY2k7Vaq5KrA+vSmyab7/91qp2MueI85fxXUmQTp06wdXVtd42V1dXXh3SBDWLG1raTrWCg4Oh1WrrbdPpdPz220icpFE5ly9ftqqdatX0FP5xrJvaewoZZAQ5d+4cKisr622rrKzkVPBNMGjQIKvaqda5c+dQUVFRb5ter+frspH2799/20kaOdao8fr27WtVO9Wq6Smsby01NfcUMsgIUlhYaFU71eI3NuXk5ORY1U7V7jRXDOeSabxOnTpBp9PV2+bm5sbe6yYIDg5G165d623r1q2bantcGWQE4RgZ5Xz33XdWtVMtjjdSRqdOnW474SU/fBsvPz+/watqfv31V+Tn5zdzReoly3KDX5IvXrzIU0vUNA1NhtfYdqrl5uZmVTvVatu2rVXtVE2SJMyZM6fetjlz5nBiwSYICgpCq1at6m1r1aoVgoKCmrki9XLU6RUYZAT543TbTW2nWkVFRVa1U63WrVtb1U53ptZvvaKcP3/+th++ah3XIcKQIUNuOwh9yJAhzVyRMoQHmYsXL+Kpp55CmzZt4Obmhl69epmtnyHLMmbPno0OHTrAzc0NUVFROH36tMCKlXGnS93UfClccysoKLCqnWrt2LHDqnaqJssypk2bVm/btGnTGGaagCuyK6egoOC2g9DV+l4pNMj8/PPPGDp0KFxcXPDFF1/g+PHjWLx4sdm3vkWLFmHJkiVYvnw5Dh48CHd3d0RHR6t+JkJ/f3+r2qlWVVWVVe1Uq6E3uca2U7WffvqpwS8jFy5cwE8//dTMFakXv6goJzg4GAMHDqy3bdCgQRzsa4mFCxciMDAQq1evxqBBgxASEoIHH3wQf/rTnwBUJ+2UlBTMnDkTY8aMQUREBNatW4fCwkJs3rxZZOlW++WXX6xqp1q//vqrVe1UKyQkxKp2qvbll19a1U61Dh06ZFU71ZIkCePGjau3bdy4caoduyU0yGzduhUDBgzAY489hvbt26Nv3754//33Te1nz55FUVERoqKiTNu8vLwwePDgBgclVVRUoLS01OxmjyZNmmRVO9W66667rGqnWkePHrWqnapx0LRyxowZY1U71ZJlGR999FG9benp6ao9TSc0yPz0009IS0tDly5dkJGRgRdeeAEvvvgi1q5dC6B2kKavr6/Z43x9fRscwJmcnAwvLy/TzV5n0Fy/fr1V7VSLM/sqp6Y31NJ2qjZ69Gir2qkWV7dXjqMunSE0yBiNRvTr1w/z589H37598fzzz+O5557D8uXLLd7njBkzUFJSYrrZ6/nT0NBQq9qJbIFrLSmDp0OUw9XtlRMcHNzgHEYhISEcI2OJDh06oEePHmbbunfvbprgqGal3T8m7uLi4gZX4dVqtfD09DS72aOtW7da1U5kC3e6ItARrhhsDhyArpw7rcys9pWbm5PRaGzwy31+fn6dNZjUQmiQGTp0KE6ePGm27dSpU6ZUGBISAj8/P2RmZpraS0tLcfDgQURGRjZrrUpraMrtxrYT2QJn9lXGiRMnrGqnWt27d7eqnWpt3br1tpdfq/ULtNAgk5iYiAMHDmD+/Pk4c+YM0tPTsXLlSsTHxwOoHmGdkJCAefPmYevWrcjLy8MzzzwDf39/jB07VmTpVvv555+taieyhYYWjGxsO5HSOAZOOaNHj25wQjxnZ2fVjt0SGmQGDhyITZs24aOPPkJ4eDhef/11pKSkIDY21nSfadOmYfLkyXj++ecxcOBAlJWVYefOnarvsWjo1Fhj24lsoaEV2RvbTtW8vb2taqdaDS1y2Nh2qqXRaBqcqHH69OkNhhx75yy6gIcffhgPP/xwg+2SJGHu3LmYO3duM1Zle8eOHbOqnYjsV15e3h3bn3jiiWaqRt1u3bplVTs1jponu+QlCIJcu3bNqnYisl/scVVOzXQclrZTLYPBgAULFtTbtmDBAtWGGQYZQbh+CJHjOn78uFXtVOvy5ctWtVOtzZs3N/jZIsuyamfMZ5AR5E7nItV6rpKIuD6Qkrgiu3LudHk1L7+mJuHifESOa/jw4Va1Uy1OCUB3wiBDRKQwrlmlHE4uqBxH/QLNIENEpDCeWiJ75KivSwYZIiKFOepYBFK3hx56yKp2e8UgQ0RE1AKsXLnSqnZ7xSBDRETUAjjqpewMMkRERC1Ahw4drGq3VwwyRERELcClS5esardXDDJEREQtQJcuXaxqt1cMMkRERC3A/v37rWq3VwwyRERELUBlZaVV7faKQYaIiIhUi0GGiIioBXDUBTgZZIiIiFqAn3/+2ap2e8UgQ0RERKrl3Ng7+vj44NSpU2jbti1at24NSZIavO/169cVKY6IiIjodhodZN555x14eHgAAFJSUmxVDxEREVGjNTrIxMXF1fszERERkSiNDjL1uXz5Mi5fvlxnSfqIiAirilITWZah1+ttsu9ff/21yY/R6XS3Pe1HRETkSCwKMtnZ2YiLi8MPP/wAWZbN2iRJgsFgUKQ4NdDr9YiOjrbJvi3Zb0ZGBtzc3GxQjW3ZMhACTQ+Fag6EPJZkb/iaJFuyKMj87W9/Q9euXbFq1Sr4+vryBUFWs2UgBJoeCtUaCAEeSyWxx1UZfE0qh6GwLouCzE8//YTPPvsMnTt3Vroe1dHpdMjIyGjy4xISEvDDDz802N69e3eLBlXrdLomP4aI6sceV7I3DIV1WRRkHnjgARw9epRBBtWn0iz5R1yxYgWGDRt22/aWxNJACDTuP15T963mQGjNsZw+fTr++9//Ntjet29fLFiwoMn1UMtmzWty0aJFyMzMbLD9gQcewLRp05pcDzkOSf7jIJdGuHr1KuLi4jBo0CCEh4fDxcXFrH306NGKFWit0tJSeHl5oaSkBJ6enqLLqaO+MJOVlSWgEnW7XSjk8WwaHstalnbjz58/H3v37m2w/c9//jNeeeWVJu/XHrrxReBrspY1p5Zu3bqFkSNHNti+Y8cOODs3rX/Dlq/Jxn5+WxRktm3bhqeffhqlpaV1d2hng30ZZFoOHkvl8Fhajx++yuJrUhkbNmyot8d/4sSJeOKJJwRU1LDGfn5btETB5MmT8dRTT+HSpUswGo1mN3sKMWrwx+5W/sckcgwN/V/m/3ESKTY2tt7t9hZimsKiIHPt2jUkJibC19dX6XpaNEvPIVM1hkLl8FiSveFrUjkffPCB2e/r168XVIkyLAoyjz76KL7++mulayFSDEOhcngsLccPX9vga9I6gYGBpp979uyJoKAggdVYz6Krlrp27YoZM2Zg37596NWrV53Bvi+++KIixREROQp++JI9evvtt0WXYDWLemQ++OADtGrVCnv37sXSpUvxzjvvmG6WLii5YMECSJKEhIQE0za9Xo/4+Hi0adMGrVq1QkxMDIqLiy3aPxERETkei3pkzp49a/q55qInay6/Onz4MFasWFFnjabExETs2LEDn3zyCby8vDBp0iQ8+uij+Oabbyx+LiIiInIcFvXIAMCqVasQHh4OnU4HnU6H8PDwOgOIGqOsrAyxsbF4//330bp1a9P2kpISrFq1Cm+//Tbuv/9+9O/fH6tXr8a3336LAwcONLi/iooKlJaWmt2IiIjIMVkUZGbPno0pU6Zg1KhR+OSTT/DJJ59g1KhRSExMxOzZs5u0r/j4eIwcORJRUVFm27Ozs1FVVWW2PSwsDEFBQdi/f3+D+0tOToaXl5fp9vtBTURERORYLDq1lJaWhvfffx/jxo0zbRs9ejQiIiIwefJkzJ07t1H72bhxI3JycnD48OE6bUVFRXB1dYW3t7fZdl9fXxQVFTW4zxkzZiApKcn0e2lpKcMMERGRg7IoyFRVVWHAgAF1tvfv3x+3bt1q1D4KCgowZcoU7N69W9F1L7RaLbRarWL7IyIiIvtl0amlp59+GmlpaXW2r1y5ssFZA/8oOzsbly9fRr9+/eDs7AxnZ2fs3bsXS5YsgbOzM3x9fVFZWYkbN26YPa64uBh+fn6WlE1EREQOptE9Mr8/XSNJEj744APs2rULQ4YMAQAcPHgQ+fn5eOaZZxq1vwceeAB5eXlm28aPH4+wsDD885//RGBgIFxcXJCZmYmYmBgAwMmTJ5Gfn4/IyMjGlk1EREQOrNFB5r///a/Z7/379wcA/PjjjwCAtm3bom3btvj+++8btT8PDw+Eh4ebbXN3d0ebNm1M2ydMmICkpCT4+PjA09MTkydPRmRkpCk8ERERUcvW6CAjYkmCd955B05OToiJiUFFRQWio6OxbNmyZq+DiIiI7JNFg31tZc+ePWa/63Q6pKamIjU1VUxBREREZNcsnhCPiIiISDQGGSIiIlItBhkiIiJSLQYZIiIiUi0GGSIiIlItBhkiIiJSLQYZIiIiUi27mkemucmyDL1eL7SG3z+/6FqA6rl7JEkSXUaLxtdlXXxdisXXZF18TdqPFh1k9Ho9oqOjRZdhMmbMGNElICMjA25ubk1+HN/o6rL0jY6vy7osfV2SMviarIvvlcqxNhS26CBDyuEbXV388BWLHxh1sRdBPL5X1mXteyWDzG/K+8UCTgIOhywDxlvVPzs5AyLeZIy34J6zofmfl+7IMMog5n+pDMDw288aACI++24Bmm0aix/OD4y6lAjXo/tMhLOTi0IVNZ4syzD89l6pcXIWEshuGauwNZfr/dkbBpkaTs6Apvn/c1ZzFfS8tpE67Aa0GrnZn1eWgUpj9c+uTmIyYYVBQnyWt3I7dIa4/6Wi/juQXXN2coGzRsx7lgu0Qp7XVoZ3bAuNgDcqWZZh/O0t2kmCkFBokGXsuXhVkX0xyJDitBoZOsu/SFtF/Imc5g9wdGf/hJivCzKAqt9+doGYjq1KAAsFPC/dmUaS4Owk4lVhB6cXjcrtikGGiByeKwBXQW/e4vsQGK7JsXEeGSIiIlItBhkiIiJSLQYZIiIiUi2OkalhqLrzfRyVwn97heHO93FUiv/ttxTen5q05L/djt1qwe+VLflvt2cMMr9x/2+66BIcRnxWa9ElOAxr5lEhsoWtRzmPilIMxpY7EFvJv51BhogcXiWAlnr1TqXoAqhBewqVmUelpWOQ+U153ycFTognmKFK0R6p1GE/Q9tCOxIqDMr2SAmb2dceWDmz7+9xHhXljO49Ec4t9L3ylqGKPVJ2qKW+RdalcWm5QUZhWg2ETYjncETO7EtUD2eNuJl9Hc1w/7bQCJkQTzyDUVasR4pvkUTk8ETN7GsPOLOv/dI4iZrZ17EwyBCRwxM5s694LXNsELUcnEeGiIiIVItBhoiIiFSLp5ZqGAXNviXLtc/t5AwIWE5d6b+9wiBBRHe2LAOVv62o6uok5lBW/+0KEjUpnAygZnI/DcQslssJ8ezSLaOYSeFkWYbht/cqjZMzJAH/wUX97XR7DDK/cc/ZILoEhxGf5S26BIfBCfHI3mzN5eXHSjHIMmBs/ueVZRk189E5SRASCg0yJ8QjImo0URPiyQBqvsO7QEzHFifEs197LnJCPCW06CCj0+mQkZEhtAa9Xo8xY8YAALZs2QKdTie0Hkufn8eyLh5L5Vj7/Lz82Dp8TdYl+vmpVosOMpIkwc3NTXQZJjqdzq7qaQoeS+XwWJK94WtSOQyFdVn7/EKDTHJyMj7//HOcOHECbm5uuPvuu7Fw4UJ069bNdB+9Xo+pU6di48aNqKioQHR0NJYtWwZfX1+BlRORveMHRl2in58YCm1BaJDZu3cv4uPjMXDgQNy6dQuvvPIKHnzwQRw/fhzu7u4AgMTEROzYsQOffPIJvLy8MGnSJDz66KP45ptvRJZORHaOHxhELYPQILNz506z39esWYP27dsjOzsbw4YNQ0lJCVatWoX09HTcf//9AIDVq1eje/fuOHDgAIYMGSKibCIiIrITdjUhXklJCQDAx8cHAJCdnY2qqipERUWZ7hMWFoagoCDs37+/3n1UVFSgtLTU7EZERESOyW6CjNFoREJCAoYOHYrw8HAAQFFREVxdXeHt7W12X19fXxQVFdW7n+TkZHh5eZlugYGBti6diIiIBLGbIBMfH49jx45h48aNVu1nxowZKCkpMd0KCgoUqpCIiIjsjV1cfj1p0iRs374dWVlZCAgIMG338/NDZWUlbty4YdYrU1xcDD8/v3r3pdVqodVqbV0yERER2QGhPTKyLGPSpEnYtGkTvvrqK4SEhJi19+/fHy4uLsjMzDRtO3nyJPLz8xEZGdnc5RIREZGdEdojEx8fj/T0dGzZsgUeHh6mcS9eXl5wc3ODl5cXJkyYgKSkJPj4+MDT0xOTJ09GZGQkr1giIiIisUEmLS0NADB8+HCz7atXr8azzz4LAHjnnXfg5OSEmJgYswnxiIiIiIQGGbkRq1/qdDqkpqYiNTW1GSoiIiIiNbGbq5aIiIiImopBhoiIiFSLQYaIiIhUi0GGiIiIVItBhoiIiFSLQYaIiIhUi0GGiIiIVItBhoiIiFSLQYaIiIhUi0GGiIhUJTo6WnQJZEcYZIiIyO799a9/Nfv94YcfFlQJ2RsGGSIisns3b940+720tFRQJWRvhC4a6QhkWYZer7f48b9/rDX7qaHT6SBJktX7aW7WHkdA2WOp1uMI8Fgqif+/lWHtcWzoVNKwYcOQkZHR5P2p9TgC/P9dH0luzBLUKlZaWgovLy+UlJTA09NT8f3/+uuvdnW+NiMjA25ubqLLaDIeR+XwWCqHx1IZPI7KaUnHsrGf3zy1RERERKrFHhkrWdvNJ8syKioqAABardbqLjp76OazhBLdpUoeS7UeR4DHUkn8/60Ma47j4cOHMXPmzAbb582bh4EDBzZpn2o9jkDL+v/d2M9vjpGxkiRJVner3XXXXQpVo15KHEeAxxLgsVQS/38rw5rjOGzYMKvaHQ3/f9fFU0tERGTXsrKymrSdWhYGGSIisnt/PLVgi6ECpE4MMkREZPe2b99+29+p5eIYGSIiUgWeSqL6OHyQqbkoi7NAEhERqUfN5/adLq52+CBTM611YGCg4EqIiIioqW7evAkvL68G2x1+Hhmj0YjCwkJ4eHjY7bwBpaWlCAwMREFBAQewWYnHUjk8lsrgcVQOj6Vy1HAsZVnGzZs34e/vDyenhof0OnyPjJOTEwICAkSX0Sienp52+4JSGx5L5fBYKoPHUTk8lsqx92N5u56YGrxqiYiIiFSLQYaIiIhUi0HGDmi1WsyZMwdarVZ0KarHY6kcHktl8Dgqh8dSOY50LB1+sC8RERE5LvbIEBERkWoxyBAREZFqMcgQERGRajHIEBERkWoxyNiB1NRUdOrUCTqdDoMHD8ahQ4dEl6Q6WVlZGDVqFPz9/SFJEjZv3iy6JFVKTk7GwIED4eHhgfbt22Ps2LE4efKk6LJUKS0tDREREaYJxyIjI/HFF1+ILkv1FixYAEmSkJCQILoU1Xn11VchSZLZLSwsTHRZVmOQEexf//oXkpKSMGfOHOTk5KB3796Ijo7G5cuXRZemKuXl5ejduzdSU1NFl6Jqe/fuRXx8PA4cOIDdu3ejqqoKDz74IMrLy0WXpjoBAQFYsGABsrOzceTIEdx///0YM2YMvv/+e9Glqdbhw4exYsUKREREiC5FtXr27IlLly6Zbvv27RNdktV4+bVggwcPxsCBA7F06VIA1WtDBQYGYvLkyZg+fbrg6tRJkiRs2rQJY8eOFV2K6l25cgXt27fH3r17MWzYMNHlqJ6Pjw/efPNNTJgwQXQpqlNWVoZ+/fph2bJlmDdvHvr06YOUlBTRZanKq6++is2bNyM3N1d0KYpij4xAlZWVyM7ORlRUlGmbk5MToqKisH//foGVEVUrKSkBUP0BTJYzGAzYuHEjysvLERkZKbocVYqPj8fIkSPN3i+p6U6fPg1/f3+EhoYiNjYW+fn5okuymsMvGmnPrl69CoPBAF9fX7Ptvr6+OHHihKCqiKoZjUYkJCRg6NChCA8PF12OKuXl5SEyMhJ6vR6tWrXCpk2b0KNHD9Flqc7GjRuRk5ODw4cPiy5F1QYPHow1a9agW7duuHTpEl577TXce++9OHbsGDw8PESXZzEGGSKqV3x8PI4dO+YQ59BF6datG3Jzc1FSUoJPP/0UcXFx2Lt3L8NMExQUFGDKlCnYvXs3dDqd6HJU7aGHHjL9HBERgcGDByM4OBgff/yxqk93MsgI1LZtW2g0GhQXF5ttLy4uhp+fn6CqiIBJkyZh+/btyMrKQkBAgOhyVMvV1RWdO3cGAPTv3x+HDx/Gu+++ixUrVgiuTD2ys7Nx+fJl9OvXz7TNYDAgKysLS5cuRUVFBTQajcAK1cvb2xtdu3bFmTNnRJdiFY6REcjV1RX9+/dHZmamaZvRaERmZibPo5MQsixj0qRJ2LRpE7766iuEhISILsmhGI1GVFRUiC5DVR544AHk5eUhNzfXdBswYABiY2ORm5vLEGOFsrIy/Pjjj+jQoYPoUqzCHhnBkpKSEBcXhwEDBmDQoEFISUlBeXk5xo8fL7o0VSkrKzP7VnH27Fnk5ubCx8cHQUFBAitTl/j4eKSnp2PLli3w8PBAUVERAMDLywtubm6Cq1OXGTNm4KGHHkJQUBBu3ryJ9PR07NmzBxkZGaJLUxUPD486Y7Tc3d3Rpk0bjt1qopdeegmjRo1CcHAwCgsLMWfOHGg0GowbN050aVZhkBHs8ccfx5UrVzB79mwUFRWhT58+2LlzZ50BwHR7R44cwX333Wf6PSkpCQAQFxeHNWvWCKpKfdLS0gAAw4cPN9u+evVqPPvss81fkIpdvnwZzzzzDC5dugQvLy9EREQgIyMDI0aMEF0atVAXLlzAuHHjcO3aNbRr1w733HMPDhw4gHbt2okuzSqcR4aIiIhUi2NkiIiISLUYZIiIiEi1GGSIiIhItRhkiIiISLUYZIiIiEi1GGSIiIhItRhkiIiISLUYZIiIiEi1GGSIyC5IkoTNmzeLLoOIVIZBhoiaRVFRESZPnozQ0FBotVoEBgZi1KhRZoumKmXPnj2QJAk3btxQfN9EZF+41hIR2dy5c+cwdOhQeHt7480330SvXr1QVVWFjIwMxMfH48SJE6JLrJcsyzAYDHB25lslkb1ijwwR2dzEiRMhSRIOHTqEmJgYdO3aFT179kRSUhIOHDhQ5/719ajk5uZCkiScO3cOAHD+/HmMGjUKrVu3hru7O3r27Il///vfOHfunGkB0datW0OSJNOCl0ajEcnJyQgJCYGbmxt69+6NTz/9tM7zfvHFF+jfvz+0Wi327dtns+NCRNbj1wwisqnr169j586deOONN+Du7l6n3dvb26L9xsfHo7KyEllZWXB3d8fx48fRqlUrBAYG4rPPPkNMTAxOnjwJT09PuLm5AQCSk5Oxfv16LF++HF26dEFWVhaeeuoptGvXDn/+859N+54+fTreeusthIaGonXr1hbVR0TNg0GGiGzqzJkzkGUZYWFhiu43Pz8fMTEx6NWrFwAgNDTU1Obj4wMAaN++vSkoVVRUYP78+fjyyy8RGRlpesy+ffuwYsUKsyAzd+5cjBgxQtF6icg2GGSIyKZkWbbJfl988UW88MIL2LVrF6KiohATE4OIiIgG73/mzBn88ssvdQJKZWUl+vbta7ZtwIABNqmZiJTHIENENtWlSxdIktSkAb1OTtXD934fgqqqqszu8/e//x3R0dHYsWMHdu3aheTkZCxevBiTJ0+ud59lZWUAgB07dqBjx45mbVqt1uz3+k6BEZF94mBfIrIpHx8fREdHIzU1FeXl5XXa67tEul27dgCAS5cumbbl5ubWuV9gYCD+8Y9/4PPPP8fUqVPx/vvvAwBcXV0BAAaDwXTfHj16QKvVIj8/H507dza7BQYGWvMnEpFADDJEZHOpqakwGAwYNGgQPvvsM5w+fRo//PADlixZYhqv8ns14eLVV1/F6dOnsWPHDixevNjsPgkJCcjIyMDZs2eRk5ODr7/+Gt27dwcABAcHQ5IkbN++HVeuXEFZWRk8PDzw0ksvITExEWvXrsWPP/6InJwcvPfee1i7dm2zHAciUh6DDBHZXGhoKHJycnDfffdh6tSpCA8Px4gRI5CZmYm0tLQ693dxccFHH32EEydOICIiAgsXLsS8efPM7mMwGBAfH4/u3bvjL3/5C7p27Yply5YBADp27IjXXnsN06dPh6+vLyZNmgQAeP311zFr1iwkJyebHrdjxw6EhITY/iAQkU1Isq1G4hERERHZGHtkiIiISLUYZIiIiEi1GGSIiIhItRhkiIiISLUYZIiIiEi1GGSIiIhItRhkiIiISLUYZIiIiEi1GGSIiIhItRhkiIiISLUYZIiIiEi1/j9o5f+VlJuQHAAAAABJRU5ErkJggg==",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -3819,7 +3967,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjIAAAHtCAYAAAADTJQ+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/H5lhTAAAACXBIWXMAAA9hAAAPYQGoP6dpAABHMUlEQVR4nO3deXxTVf7/8Xda2qSULoBYwJZNdhAQUKwoKlYrg4jSn+PCaFUcRy0q1A1GEWTUgsoIakFchmUGhgEVEFEqglAXkM064ILogPiVtjhgqVSaluT+/ugQuy9p2pubvp6Px308krucfHqapJ+ec+45NsMwDAEAAFhQkNkBAAAAeItEBgAAWBaJDAAAsCwSGQAAYFkkMgAAwLJIZAAAgGWRyAAAAMsikQEAAJbVzOwA/IFhGDp58qRcLpfZoQCAZYSEhCg4ONjsMNDENflEpqioSNnZ2fr111/NDgUALMVmsyk2NlYtWrQwOxQ0YbamvESB2+3Wvn37FBwcrDZt2ig0NFQ2m83ssADA7xmGoZ9++km//vqrunXrRssMTNOkW2SKiorkdrsVFxen5s2bmx0OAFhKmzZtdODAARUXF5PIwDQM9pUUFEQ1AEBd0YINf8BfcAAAYFkkMgAAwLJIZBBQLr74Yk2YMEGS1KlTJ82ePdtzLCcnR5dddpnCw8MVHR1tSnw12bRpk2w2m/Ly8mp1/scff6yzzjpLISEhuvrqqxssrmnTpmnAgAENVj4AeItEBgFr+/btuuOOOzzPn3vuOWVnZysrK0vffPONiZGVKJ10nXL++ecrOztbUVFRtSojNTVVAwYM0P79+7Vw4UKfxGWz2bRq1aoy+x544AFt2LDBJ+UDgC816buWENjatGlT5vl3332nQYMGqVu3biZFVLPQ0FC1bdu21ud/9913uvPOOxUbG9uAUUktWrRgrhAAfokWGQSs0l1LnTp10htvvKHFixfLZrPplltukSTl5eXp9ttvV5s2bRQZGanhw4fr888/r1X5n3/+uS655BJFREQoMjJSgwYN0o4dOyRJR44c0Q033KAzzjhDzZs311lnnaV//vOfnmtvueUWbd68WXPmzJHNZpPNZtOBAwcqdC19//33GjVqlFq2bKnw8HD16dNH77zzjg4cOCCbzaYjR47otttuk81m08KFC+VyuTRu3Dh17txZYWFh6tGjh+bMmVMh9r/97W/q06eP7Ha72rVrp/Hjx3vqSZKuueYa2Ww2z/PyXUtut1vTp09XbGys7Ha7BgwYoHXr1nmOn4rvzTff1CWXXKLmzZurf//+2rJlS63qFgBqi0QGTcL27dt1xRVX6Pe//72ys7M9f9yvvfZaHT58WO+++6527typgQMH6tJLL9XRo0drLHPs2LGKjY3V9u3btXPnTk2aNEkhISGSpMLCQg0aNEhr167Vnj17dMcdd+imm27Stm3bJElz5sxRfHy8/vjHPyo7O1vZ2dmKi4ur8BopKSlyOp3KzMzU7t27NXPmTLVo0UJxcXHKzs5WZGSkZs+erezsbF133XVyu92KjY3VihUr9OWXX+qxxx7Tn//8Zy1fvtxT5rx585SSkqI77rhDu3fv1ltvvaWuXbt66kmSFixYoOzsbM/z8ubMmaNZs2bp2Wef1b///W8lJibqqquu0r59+8qc98gjj+iBBx5QVlaWunfvrhtuuEEnT56ssW4BoNaMJuzEiRPGl19+aZw4ccLsUOAjF110kXHfffcZhmEYHTt2NJ577jnPsdGjRxvJycme5x9++KERGRlpFBYWlinjzDPPNObPn1/ja0VERBgLFy6sdWwjR4407r///kpjPeWDDz4wJBk///yzYRiGcdZZZxnTpk2rssyoqChjwYIF1b5uSkqKkZSU5Hnevn1745FHHqnyfEnGypUry+ybOnWq0b9//zJlPPnkk2XOOeecc4y7777bMAzD2L9/vyHJePXVVz3Hv/jiC0OS8dVXX1UbL6yD71D4A8bIoMn6/PPPdfz4cbVu3brM/hMnTui7776r8frU1FTdfvvt+vvf/66EhARde+21OvPMMyVJLpdLTz31lJYvX64ff/xRRUVFcjqddZ5B+t5779Vdd92l9957TwkJCUpKSlK/fv2qvSY9PV1/+9vfdPDgQZ04cUJFRUWebqHDhw/r0KFDuvTSS+sUR2n5+fk6dOiQhg4dWmb/0KFDK3TLlY61Xbt2nhh69uzp9esDQGl0LaHJOn78uNq1a6esrKwy2969e/Xggw/WeP20adP0xRdfaOTIkdq4caN69+6tlStXSpKeeeYZzZkzRw8//LA++OADZWVlKTExUUVFRXWK8fbbb9d//vMf3XTTTdq9e7cGDx6sF154ocrzly1bpgceeEDjxo3Te++9p6ysLN16662e1w0LC6vT69fXqa426bdZYN1ud6PGACCwkcigyRo4cKBycnLUrFkzde3atcx22mmn1aqM7t27a+LEiXrvvfc0ZswYLViwQFLJ/C6jR4/WH/7wB/Xv319dunSpcMt3aGioXC5Xja8RFxenO++8U2+++abuv/9+vfLKK1We+/HHH+v888/X3XffrbPPPltdu3Yt07oUERGhTp06VXsrdUhISLVxRUZGqn379vr4448rvHbv3r1r/HkAwJdIZNBkJSQkKD4+XldffbXee+89HThwQJ988okeeeQRz91HVTlx4oTGjx+vTZs26fvvv9fHH3+s7du3q1evXpKkbt26af369frkk0/01Vdf6U9/+pNyc3PLlNGpUyd9+umnOnDggP773/9W2lIxYcIEZWRkaP/+/dq1a5c++OADz2tUplu3btqxY4cyMjL0zTffaMqUKRUG7E6bNk2zZs3S888/r3379mnXrl1lWnlOJTo5OTn6+eefK32dBx98UDNnztS//vUv7d27V5MmTVJWVpbuu+++ausNAHyNRAZNls1m0zvvvKNhw4bp1ltvVffu3XX99dfr+++/V0xMTLXXBgcH68iRI7r55pvVvXt3/f73v9eIESP0+OOPS5IeffRRDRw4UImJibr44ovVtm3bCjPvPvDAAwoODlbv3r3Vpk0bHTx4sMLruFwupaSkqFevXrriiivUvXt3zZ07t8q4/vSnP2nMmDG67rrrNGTIEB05ckR33313mXOSk5M1e/ZszZ07V3369NGVV15Z5m6jWbNmaf369YqLi9PZZ59d6evce++9Sk1N1f3336+zzjpL69at01tvveXXc/QACEw2wzAMs4MwS2Fhofbv36/OnTvL4XCYHQ4AWArfofAHtMgAAADLIpEBqtCnTx/P1PzltyVLlpgdHgBArLUEVOmdd95RcXFxpcdqGkMDAGgcJDJAFTp27Gh2CACAGtC1BAAALItEBgAAWBaJDAAAsCwSGQAAYFkkMgAAwLK4a6kSLpdLjTnhsc1mU3BwcKO9nj+gjhteY9Yx9dvwmmIdA7VBIlOOy+XSNWP+n/J+PtJorxndsrVWvvl6nb6kMjMz9cwzz2jnzp3Kzs7WypUrK6zlU96mTZuUmpqqL774QnFxcXr00Ud1yy231C94L7hcLl2bdLX+e/RYo73maa2itOKNVbWu47S0NL355pv6+uuvFRYWpvPPP18zZ85Ujx49qr1uxYoVmjJlig4cOKBu3bpp5syZ+t3vfueLH6FOXC6Xrkm6RnlH8xrl9aJbRWvlGyvr9B6eN2+e5s2bpwMHDkgqmYDwscce04gRI6q8xp/q99prrtF/8/Ia7TVPi47WipV1q+PSZsyYocmTJ+u+++7T7NmzqzzPX+oYqC0SmXIMw1Dez0dUMPgWydYIPW+GW9qxsM7/2RUUFKh///667bbbNGbMmBrP379/v0aOHKk777xTS5Ys0YYNG3T77berXbt2SkxM9DZ6rxiGof8ePabXLvlZwbaGfz2XIY37QHWq482bNyslJUXnnHOOTp48qT//+c+6/PLL9eWXXyo8PLzSaz755BPdcMMNSktL05VXXqmlS5fq6quv1q5du9S3b19f/Ti1YhiG8o7myXWNq+E7kN1S3sq8Or+HY2NjNWPGDHXr1k2GYWjRokUaPXq0PvvsM/Xp06fC+f5Wv//Ny9MUSY3RRuKS9Je8utfxKdu3b9f8+fPVr1+/as/zpzoGaotFI8steHby5EkNHz5cBefcJgU1QiLjdit8+9+0ceNGNWvmXV5ps9lqbJF5+OGHtXbtWu3Zs8ez7/rrr1deXp7WrVvn1et661QdLxz+s5o1QhWfdEu3bGxZrzr+6aefdPrpp2vz5s0aNmxYpedcd911Kigo0Ntvv+3Zd95552nAgAF66aWXvHpdb52qY1dS4yQywW8E16t+T2nVqpWeeeYZjRs3rsIxf6zfaZKC1fDZuEuGpkle1fHx48c1cOBAzZ07V0888YQGDBhQZYtMXeuYRSPhDxjs20Rs2bJFCQkJZfYlJiZqy5YtJkVkLceOlXSDtWrVqspzqGPvuVwuLVu2TAUFBYqPj6/0HOrXOykpKRo5cmSFuqsMdQwromupicjJyamwPlBMTIzy8/N14sQJhYWFmRSZ/3O73ZowYYKGDh1abfN6VXWck5PT0CFa1u7duxUfH6/CwkK1aNFCK1euVO/evSs9l/qtu2XLlmnXrl3avn17rc6njmFFJDJADVJSUrRnzx599NFHZocScHr06KGsrCwdO3ZMr7/+upKTk7V58+YqkxnU3g8//KD77rtP69evp9sHAY1Epolo27atcnNzy+zLzc1VZGQkrTHVGD9+vN5++21lZmYqNja22nOrquO2bds2ZIiWFhoaqq5du0qSBg0apO3bt2vOnDmaP39+hXOp37rZuXOnDh8+rIEDB3r2uVwuZWZm6sUXX5TT6axwBxR1DCtijEwTER8frw0bNpTZt379+irHIzR1hmFo/PjxWrlypTZu3KjOnTvXeA11XH9ut1tOp7PSY9Rv3Vx66aXavXu3srKyPNvgwYM1duxYZWVlVXobN3UMK6JFpiqGW3I30ut44fjx4/r22289z/fv36+srCy1atVKHTp00OTJk/Xjjz9q8eLFkqQ777xTL774oh566CHddttt2rhxo5YvX661a9f65MfwhstQo9Sxy4v78lJSUrR06VKtXr1aERERnjECUVFRnhasm2++WWeccYbS0tIkSffdd58uuugizZo1SyNHjtSyZcu0Y8cOvfzyyz77WeqsMd7DXr7G5MmTNWLECHXo0EG//PKLli5dqk2bNikjI0OSNerXJUlq+Bs/XV5cExERUWFMV3h4uFq3bu3Zb4U6BmpCIlOOzWZTdMvW0o6Fjfaa0S1by2ar2y2cO3bs0CWXXOJ5npqaKklKTk7WwoULlZ2drYMHD3qOd+7cWWvXrtXEiRM1Z84cxcbG6tVXX230OWSkkjo+rVWUxn3QeK95WquoOtXxvHnzJEkXX3xxmf0LFizwTCJ48OBBBZW6Rf/888/X0qVL9eijj+rPf/6zunXrplWrVpky/4bNZlN0q2jlrcxrlNeLbhVd5/fw4cOHdfPNNys7O1tRUVHq16+fMjIydNlll0ny//o9LTpaf2nkCfHqWsc18ec6BmqLeWQqmQOBqccbHnXc8FiioGHxHmYeGfgHWmQq4W9fFoGIOm541HHDon4B/8BgXwAAYFkkMgAAwLJIZAAAgGWRyKhuqyIDAErw3Ql/0KQTmZCQEEnSr7/+anIkAGA9RUVFkhj4DHM16buWgoODFR0drcOHD0uSmjdv7vN5GgAgELndbv30009q3ry5mjVr0n9KYLIm/+47tYbIqWQGAFA7QUFB6tChA/8AwlRNekK80lwul4qLi80OAwAsIzQ0tMzMwIAZSGQAAIBlkUoDAADLIpEBAACWRSIDAAAsi0QGAABYFokMAACwLBIZAABgWSQyAADAskhkAACAZZHIAAAAyyKRAQAAlhXwi0a63W4dOnRIERERLGwGAIBFGIahX375Re3bt692Ta+AT2QOHTqkuLg4s8MAAABe+OGHHxQbG1vl8YBPZCIiIiSVVERkZKTJ0QAAgNrIz89XXFyc5+94VQI+kTnVnRQZGUkiAwCAxdQ0LITBvgAAwLJIZAAAgGWRyAAAAMsikQEAAJZFIgMAACyLRAYAAFgWiQwAALAsEhkAAGBZJDIAAMCySGQAAIBlkcgAAADLIpEBAACWFfCLRtaFYRgqLCws89zpdEqS7HZ7mYWrHA5HpQtZ1beM8tf7ogxvfo768se6NCMGXwiEegiEevRFGXy+fVeGP8TgC4FQD2bXI4lMKYWFhUpMTKzVuRkZGQoLC/N5GXW53hdlVPVz1JfV6rKhYvCFQKiHQKhHX5TB59t3ZfhDDL4QCPVgdj3StQQAACzLZhiGYXYQDSk/P19RUVE6duyYIiMjqz23fPNYYWGhRo8eLUlavXq1HA6H51htm+jqWkZlTc/1LcObn6O+/LEuzYjBFwKhHgKhHn1RBp9v35XhDzH4QiDUQ0PVY23/ftO1VIrNZquyycvhcNSqOay+ZVR3vS/KqO3PUV/+XpeNFYMvBEI9BEI9+qIMPt++K8MfYvCFQKgHs+uRriUAAGBZJDIAAMCySGQAAIBlkcgAAADLIpEBAACWRSIDAAAsi0QGAABYFokMAACwLBIZAABgWSQyAADAskhkAACAZZHIAAAAyyKRAQAAlkUiAwAALItEBgAAWBaJDAAAsCwSGQAAYFkkMgAAwLJIZAAAgGWRyAAAAMsikQEAAJZFIgMAACzL1ETG5XJpypQp6ty5s8LCwnTmmWfqL3/5iwzD8JxjGIYee+wxtWvXTmFhYUpISNC+fftMjBoAAPgLUxOZmTNnat68eXrxxRf11VdfaebMmXr66af1wgsveM55+umn9fzzz+ull17Sp59+qvDwcCUmJqqwsNDEyAEAgD9oZuaLf/LJJxo9erRGjhwpSerUqZP++c9/atu2bZJKWmNmz56tRx99VKNHj5YkLV68WDExMVq1apWuv/5602IHAADmM7VF5vzzz9eGDRv0zTffSJI+//xzffTRRxoxYoQkaf/+/crJyVFCQoLnmqioKA0ZMkRbtmyptEyn06n8/PwyGwAACEymtshMmjRJ+fn56tmzp4KDg+VyufTkk09q7NixkqScnBxJUkxMTJnrYmJiPMfKS0tL0+OPP96wgQMAAL9gaovM8uXLtWTJEi1dulS7du3SokWL9Oyzz2rRokVelzl58mQdO3bMs/3www8+jBgAAPgTU1tkHnzwQU2aNMkz1uWss87S999/r7S0NCUnJ6tt27aSpNzcXLVr185zXW5urgYMGFBpmXa7XXa7vcFjBwAA5jO1RebXX39VUFDZEIKDg+V2uyVJnTt3Vtu2bbVhwwbP8fz8fH366aeKj49v1FgBAID/MbVFZtSoUXryySfVoUMH9enTR5999pn++te/6rbbbpMk2Ww2TZgwQU888YS6deumzp07a8qUKWrfvr2uvvpqM0MHAAB+wNRE5oUXXtCUKVN099136/Dhw2rfvr3+9Kc/6bHHHvOc89BDD6mgoEB33HGH8vLydMEFF2jdunVyOBwmRg4AAPyBqYlMRESEZs+erdmzZ1d5js1m0/Tp0zV9+vTGCwwAAFgCay0BAADLIpEBAACWRSIDAAAsi0QGAABYFokMAACwLBIZAABgWSQyAADAskhkAACAZZHIAAAAyyKRAQAAlkUiAwAALItEBgAAWBaJDAAAsCwSGQAAYFkkMgAAwLJIZAAAgGWRyAAAAMsikQEAAJZFIgMAACyLRAYAAFgWiQwAALAsEhkAAGBZJDIAAMCySGQAAIBlNTM7AABA4DMMQ4WFhVUeL32suvMkyeFwyGazWTIG+B6JDACgwRUWFioxMbFW544ePbra4xkZGQoLC7NkDPA9upYAAIBl0SIDAGhU6cPyZA82yuwzDKnIXfI4NEgq32vjdNmUkhntsxgelhRabp8hqfh/j0Mkle84KpI002cRwFdIZAAAjcoebMgRXHF/9R01RrVH6ypUUmiFVEWyN2IM8A0SmQDAADYADckX3zE1ffcA3iKRCQAMYAPQkHz5HQP4GoN9AQCAZdEiE2AYwAagIRUMHCsFlfvTYRiS+2TJ46BmFUfquk8qfNeSxgkQTQ6JTIBhABuABhXUTAoOqeRA+X+hgMZB1xIAALAsEhkAAGBZJDIAAMCyTE1kOnXqJJvNVmFLSUmRVHLLX0pKilq3bq0WLVooKSlJubm5ZoYMAAD8iKmJzPbt25Wdne3Z1q9fL0m69tprJUkTJ07UmjVrtGLFCm3evFmHDh3SmDFjzAwZAAD4EVPvWmrTpk2Z5zNmzNCZZ56piy66SMeOHdNrr72mpUuXavjw4ZKkBQsWqFevXtq6davOO+88M0IGAJjAKHVzZWWzBDO7cNPlN7dfFxUV6R//+IdSU1Nls9m0c+dOFRcXKyEhwXNOz5491aFDB23ZsqXKRMbpdMrpdHqe5+fnN3jsAICGdWpBSanm2YOZXbhp8ZvBvqtWrVJeXp5uueUWSVJOTo5CQ0MVHR1d5ryYmBjl5ORUWU5aWpqioqI8W1xcXANGDQAAzOQ3LTKvvfaaRowYofbt29ernMmTJys1NdXzPD8/n2QGAAKIa5Sr4l8vQ5Lrf4+DVXEK85NS8JpKltyG5flFIvP999/r/fff15tvvunZ17ZtWxUVFSkvL69Mq0xubq7atm1bZVl2u112e/Xz2AIALKyZKv/rVdmEwwh4fpHILFiwQKeffrpGjhzp2Tdo0CCFhIRow4YNSkpKkiTt3btXBw8eVHx8vFmhAkCjMgyj2kGqtRnkeorD4ZCt/DpIQB3523vS9ETG7XZrwYIFSk5OVrNmv4UTFRWlcePGKTU1Va1atVJkZKTuuecexcfHc8cSgCajsLBQiYmJtTq3pkGuGRkZCgsL80VYaML87T1peiLz/vvv6+DBg7rtttsqHHvuuecUFBSkpKQkOZ1OJSYmau7cuSZECQAA/JHpiczll18uw6h89WWHw6H09HSlp6c3clQA4H8eVsU1pg1Jxf97HKKKY1yLJM1s4LjQdPnDe9L0RAYAUDuhkkIr/FmQqr+9ofJ/FAFf8If3pN/MIwMAAFBXJDIAAMCySGQAAIBlkcgAAADLYrBvPdV3YiDDMDyLXNrt9konBqqpDFZ09R1/m+gJAFA9Epl68uXEQI1VBqrmbxM9AQCqR9cSAACwLFpkfCh9WJ7swWXvjzcMqchd8jg0SCrf05BfZFPqx9GSqljRVap5VddCKfhdVnX1NX+Y6AkAUD0SGR+yBxtyVJJPVNe54Cyd+FS1oqtU/aqu/BYbhD9M9AQAqB5dSwAAwLJIZAAAgGWRyAAAAMsikQEAAJZFIgMAACyL+10AoArM3A34PxIZAKgCM3cD/o+uJQAAYFm0yABALTBzN+CfSGQAoBaYuRvwT3xEAASk+g7UrW4/rK9IUl2XFClqiEBMUN/Phr99LkhkAASkxh6oC2tpyou7Btpng8G+AADAsmiRARDwCgaOlYLKfd0ZhuQ+WfI4qFnFkbqSVFyo8M//1fABotE9rJIV7uuiSIHXklPpIHSLDUBv0okMfehAExHUTAqubERtDX/KXMUNEg7MFyoptMJf6JrUbUyNJVQ1CN1CA9D9LJzGFWj9hAAANDWMkQEAAJbVpFtkSqMPHQAA6yGROYU+dAAALIdEBgAAi+AmlYpIZAAAsAhuUqmIwb4AAMCyaJEBAMCCvFmR3emyKSUzunECbCQkMgAAWJA3K7IH4qR+JDIAgEbldNV8ji+u8UeBtvK0PyCRAQA0qpTMlmaHYBoG6/oeg30BAIBlmd4i8+OPP+rhhx/Wu+++q19//VVdu3bVggULNHjwYEklzXBTp07VK6+8ory8PA0dOlTz5s1Tt27dTI4cAOCN9GE/y17HxZPzi6TUjwOrJcerGeWZTb4CU1tkfv75Zw0dOlQhISF699139eWXX2rWrFlq2fK3N+vTTz+t559/Xi+99JI+/fRThYeHKzExkX5CALAoe7DkqONW18THEk7NKF96axYqhTYv2ZqFVjweFIgVUT+mtsjMnDlTcXFxWrBggWdf586dPY8Nw9Ds2bP16KOPevoKFy9erJiYGK1atUrXX399o8cMAE2aN8uysJQLGpCpicxbb72lxMREXXvttdq8ebPOOOMM3X333frjH/8oSdq/f79ycnKUkJDguSYqKkpDhgzRli1bKk1knE6nnE6n53l+fn7D/yAA0ESEf7bU7BCAMkztWvrPf/7jGe+SkZGhu+66S/fee68WLVokScrJyZEkxcTElLkuJibGc6y8tLQ0RUVFeba4uLiG/SEAAIBpTG2RcbvdGjx4sJ566ilJ0tlnn609e/bopZdeUnJysldlTp48WampqZ7n+fn5JDMA4CMFZ99YMlajLlzFtOSgwZjaItOuXTv17t27zL5evXrp4MGDkqS2bdtKknJzc8uck5ub6zlWnt1uV2RkZJkNAOAj5Qef1nYDGoipLTJDhw7V3r17y+z75ptv1LFjR0klA3/btm2rDRs2aMCAAZJKWlg+/fRT3XXXXY0dLhpYfWe8NAzDMz7KbrfLVu62xaa4vD0QkE420jWwBFMTmYkTJ+r888/XU089pd///vfatm2bXn75Zb388suSJJvNpgkTJuiJJ55Qt27d1LlzZ02ZMkXt27fX1VdfbWboaACNOeMlM2YC1hW8hluQ8RtTE5lzzjlHK1eu1OTJkzV9+nR17txZs2fP1tixYz3nPPTQQyooKNAdd9yhvLw8XXDBBVq3bp0cDoeJkQMAAH9g+sy+V155pa688soqj9tsNk2fPl3Tp09vxKhgNm+Wp88vsin142hJkmuUq+K725B0auG5YEnlrtdJ/tMDrKDSz3dN+HwHLNMTGfhWkaS6LtNe5IPXre/4lvL7vVme3lk68Wmmyt/djDkErK+qzzeaJN4KAWamSa/Liq4AADOw+jUAALAsr1pkfvjhB9lsNsXGxkqStm3bpqVLl6p379664447fBog6uZhSaF1vKZIvm3J8WpFV/dJhe9a4sMoAABNgVctMjfeeKM++OADSSXLCFx22WXatm2bHnnkEQblmixUUqhsddx8zKsVXenlBADUnVeJzJ49e3TuuedKkpYvX66+ffvqk08+0ZIlS7Rw4UJfxgcAAPxUkaQiGXXcfMurf4OLi4tlt9slSe+//76uuuoqSVLPnj2VnZ3tu+gAAIDfMusGk9K8apHp06ePXnrpJX344Ydav369rrjiCknSoUOH1Lp1a58GCAAAUBWvWmRmzpypa665Rs8884ySk5PVv39/SdJbb73l6XICAACBzR9uMKlzImMYhrp06aKDBw/q5MmTatmypefYHXfcoebNm/swPAAA4K9O3WBSN3WbtLUmXiUyXbt21RdffKFu3bqVOdapUydfxQXAwnwx0/MpDoejwkrmAHBKnROZoKAgdevWTUeOHKmQyACA5NuZnjMyMhQWVt3iFACaMq8G+86YMUMPPvig9uzZ4+t4AAAAas2rwb4333yzfv31V/Xv31+hoaEV/ls6evSoT4IDYH2VDQY0JBX/73GIKi5E7uvBgAACl1eJzOzZs30cBoBAVdVgQHu1V/l2MCCAwOVVIpOcnOzrOAAAAOqs3gvcFBYWqqio7ITDkZGR9S0WAACgRl4N9i0oKND48eN1+umnKzw8XC1btiyzAQAANAavEpmHHnpIGzdu1Lx582S32/Xqq6/q8ccfV/v27bV48WJfxwgAAFApr7qW1qxZo8WLF+viiy/WrbfeqgsvvFBdu3ZVx44dtWTJEo0dO9bXcQIAAFTgVSJz9OhRdenSRVLJeJhTt1tfcMEFuuuuu3wXHQAADaBkZGfZu+NqMy2AT7mKaz6nwjUnfR2F5XmVyHTp0kX79+9Xhw4d1LNnTy1fvlznnnuu1qxZo+joaB+HCACAb/nDPEXhny01O4SA4NUYmVtvvVWff/65JGnSpElKT0+Xw+HQxIkT9eCDD/o0QAAAgKp41SIzceJEz+OEhAR9/fXX2rlzp7p27ap+/fr5LDgAAHxt9erVcjgcFfYXFhZ61v6q6pxTqjtWWwVn3ygFh9TtoqITCv/38nq/diDxyTwyHTt2VMeOHX0RD9DksXI00LAcDkeNC5HW5px6Cw6peyIT7MW4mgDnVSLjcrn01FNP6aWXXlJubq6++eYbdenSRVOmTFGnTp00btw4X8cJNBmsHA0AtefVGJknn3xSCxcu1NNPP63Q0N+Wg+vbt69effVVnwUHAABQHa9aZBYvXqyXX35Zl156qe68807P/v79++vrr7/2WXBAU1cwcKwUVO5jahiS+3+3YAY1k8p3HblPKnzXksYJEABM5lUi8+OPP6pr164V9rvdbhUX038H+ExQsyr60EMr2QcATY9XiUzv3r314YcfVhjg+/rrr+vss8/2SWCA2SqbMKt21wANg/ckUJFXicxjjz2m5ORk/fjjj3K73XrzzTe1d+9eLV68WG+//bavYwRM4Q8TZgGl8Z4EKvJqsO/o0aO1Zs0avf/++woPD9djjz2mr776SmvWrNFll13m6xgBAAAq5fU8MhdeeKHWr1/vy1gAv/Kw6j4SpUj814yGw3sSqMirFpnk5GRlZmb6OhbAr4RKCpWtjhvQcHhPAhV51SJz7NgxJSQkqGPHjrr11luVnJysM844w9exAfCG8dtg0Mpm/mVmYACBxKtEZtWqVfrpp5/097//XYsWLdLUqVOVkJCgcePGafTo0QoJqeOUywB859QcM6p55l9mBgZgdV51LUlSmzZtlJqaqs8//1yffvqpunbtqptuuknt27fXxIkTtW/fPl/GCQAAUEG9F43Mzs7W+vXrtX79egUHB+t3v/uddu/erd69e+vpp58us1J2edOmTdPjjz9eZl+PHj08swMXFhbq/vvv17Jly+R0OpWYmKi5c+cqJiamvmEDTUL6sDzZg8vOO2IYUpG75HFoUMWJgZ0um1IyoxsnQACoJ68SmeLiYr311ltasGCB3nvvPfXr108TJkzQjTfeqMjISEnSypUrddttt1WbyEhSnz599P777/8WULPfQpo4caLWrl2rFStWKCoqSuPHj9eYMWP08ccfexM20OTYgw05givur76zqG4TrgGAmbxKZNq1aye3260bbrhB27Zt04ABAyqcc8kllyg6OrrmAJo1U9u2bSvsP3bsmF577TUtXbpUw4cPlyQtWLBAvXr10tatW3Xeeed5EzqAOqhqMHBNA4ZrGkQMCys1BsujFut/wfecrsa5xt95lcg899xzuvbaa+VwOKo8Jzo6Wh9++KHcbreCgqoeirNv3z61b99eDodD8fHxSktLU4cOHbRz504VFxcrISHBc27Pnj3VoUMHbdmypcpExul0yul0ep7n5+d78RMCkGoeDFzbcxA4WJDUf6RktjQ7BL/g1WDfm266qdok5pTevXvrwIEDVR4fMmSIFi5cqHXr1mnevHnav3+/LrzwQv3yyy/KyclRaGhohVadmJgY5eTkVFlmWlqaoqKiPFtcXFxtfywAAGAx9R7sWx3DqL6vfcSIEZ7H/fr105AhQ9SxY0ctX77c61s+J0+erNTUVM/z/Px8khmgHlyjXBW/KQxJp5qogyWVn2qmUAp+t5LBObAkh8OhjIyMKo8XFhZ6WuZWr15d6T+6pc+Bb6QP+1n2On7MnK7Aa8lp0ESmrqKjo9W9e3d9++23uuyyy1RUVKS8vLwyrTK5ubmVjqk5xW63y263N0K0QBPRTJV/U1Q3XZRffbOgvmw2W63/uXQ4HMw91Ejswap0MH9T4/U8Mg3h+PHj+u6779SuXTsNGjRIISEh2rBhg+f43r17dfDgQcXHx5sYJQAAAeKkl5sfMfX/pgceeECjRo1Sx44ddejQIU2dOlXBwcG64YYbFBUVpXHjxik1NVWtWrVSZGSk7rnnHsXHx3PHEgAAPhC8xvpNOg2ayNS0Rsv//d//6YYbbtCRI0fUpk0bXXDBBdq6davatGkjqeTuqKCgICUlJZWZEA8AAEAyebDvsmXLqj3ucDiUnp6u9PR0X4YFAABUxWD+mvjZYP56JTLffvutvvvuOw0bNkxhYWEyDKNMK8yXX36p9u3b1zvIRuEq9vI6P+ss9Afe1KW39Q8A8F5Vg/lrusaPeBXOkSNHdN1112njxo2y2Wzat2+funTponHjxqlly5aaNWuWJFnqtufwz5aaHULAoC4BAI3Fq7uWJk6cqGbNmungwYNq3ry5Z/91112ndevW+Sw4AACA6njVIvPee+8pIyNDsbGxZfZ369ZN33//vU8Ca2wFZ98oBVc3MUYVik4o/N/LfR+QhXlVl65iWnIAAHXmVSJTUFBQpiXmlKNHj1p3MrrgEO8SmWDGdlTgbV0CAFBHXnUtXXjhhVq8eLHnuc1mk9vt1tNPP61LLrnEZ8Gh6XK6pMI6bmVWdQ2ASZ4AADXzqkXm6aef1qWXXqodO3aoqKhIDz30kL744gsdPXpUH3/8sa9jRBNU37VAAmGSJwBAzbxqkenbt6+++eYbXXDBBRo9erQKCgo0ZswYffbZZzrzzDN9HSMAAEClvL4bPCoqSo888ogvYwE8vFnVNb9ISv24pCXHq0meTtKSAwBW41Ui8+9//7vS/TabTQ6HQx06dLDuoF/4BW9WdXWWPt+bSZ4AAJbj1Vf9gAEDPDP4nlqGoPSMviEhIbruuus0f/58ORwOH4QJAAgUTpdNUtklbAxDKnKXPA4Nksov1VdyDVCRV4nMypUr9fDDD+vBBx/UueeeK0natm2bZs2apalTp+rkyZOaNGmSHn30UT377LM+DRgAYG0pmdFmh4AA4lUi8+STT2rOnDlKTEz07DvrrLMUGxurKVOmaNu2bQoPD9f9999PIgMAABqMV4nM7t271bFjxwr7O3bsqN27d0sq6X7Kzs6uX3QAgIDgcDiUkZFR5fHCwkKNHj1akrR69eoKwxJKHwdK8+r26549e2rGjBkqKiry7CsuLtaMGTPUs2dPSdKPP/6omJgY30QJALA0m82msLCwKrfSiYvD4aj2OFCaVy0y6enpuuqqqxQbG6t+/fpJKmmlcblcevvttyVJ//nPf3T33Xf7LlIAAIByvEpkzj//fO3fv19LlizRN998I0m69tprdeONNyoiIkKSdNNNN/kuSgAAgEp4PdNGRESEhg0bpk6dOnm6mD744ANJ0lVXXeWb6AAAAKrhVSLzn//8R9dcc412794tm80mwzDKzCPjcrmquRoAAMA3vBrse99996lz5846fPiwmjdvrj179mjz5s0aPHiwNm3a5OMQAQAAKudVi8yWLVu0ceNGnXbaaQoKClJwcLAuuOACpaWl6d5779Vnn33m6zgtwelFQ5Q31wAAgBJeJTIul8szqPe0007ToUOH1KNHD3Xs2FF79+71aYBWkpLZ0uwQAABoUrxKZPr27avPP/9cnTt31pAhQ/T0008rNDRUL7/8srp06eLrGAEAACrlVSLz6KOPqqCgQJI0ffp0XXnllbrwwgvVunVr/etf//JpgFaSPuxn2eu4YnN+kZT6MS05AAB4w6tEpvQaS127dtXXX3+to0ePqmXLlmXuXmpq7MGSo46JjLP0+Se9fGFvrwOaClexl9f99uGq9xg4Pt9Ag/B6HpnyWrVq5auimqzgNXXMggDUSvhnS+tdRn3HwPH5BhqGV7dfAwAA+AOftcig/lyjXN79Rgql4Hf5bw+oSsHZN0rBIXW/sOiEwv+9XFL9x8Dx+QYaBomMP2km734j/BaB6gWHeJfIBP82tqbeY+D4fAMNgo8IAMBaKhsAbUg6Nbg6WFL5+04YNB2wSGQAAJbCwGmUxmBfAABgWbTIAAD8nsPhUEZGRpXHCwsLNXr0aEnS6tWr5XA4qi0LgYNEBgDg92w2m8LCwmp1rsPhqPW5sD66lgAAgGWRyAAAAMsikQEAAJblN4nMjBkzZLPZNGHCBM++wsJCpaSkqHXr1mrRooWSkpKUm5trXpAAAMCv+EUis337ds2fP1/9+vUrs3/ixIlas2aNVqxYoc2bN+vQoUMaM2aMSVECAAB/Y3oic/z4cY0dO1avvPKKWrb8bXXZY8eO6bXXXtNf//pXDR8+XIMGDdKCBQv0ySefaOvWrSZGDADmKJJUJKPM5pSh4//bnOWOlWxAYDP99uuUlBSNHDlSCQkJeuKJJzz7d+7cqeLiYiUkJHj29ezZUx06dNCWLVt03nnnVVqe0+mU0+n0PM/Pz2+44AGgEc00OwDAD5mayCxbtky7du3S9u3bKxzLyclRaGiooqOjy+yPiYlRTk5OlWWmpaXp8ccf93WoAADAD5mWyPzwww+67777tH79ep/Osjh58mSlpqZ6nufn5ysuLs5n5QNAoyq1rFBlM9Yyoy2aOtMSmZ07d+rw4cMaOHCgZ5/L5VJmZqZefPFFZWRkqKioSHl5eWVaZXJzc9W2bdsqy7Xb7bLb7Q0ZOgA0nlKrONc0Yy0z2qIpMi2RufTSS7V79+4y+2699Vb17NlTDz/8sOLi4hQSEqINGzYoKSlJkrR3714dPHhQ8fHxZoQMAAD8jGmJTEREhPr27VtmX3h4uFq3bu3ZP27cOKWmpqpVq1aKjIzUPffco/j4+CoH+gIAgKbF9LuWqvPcc88pKChISUlJcjqdSkxM1Ny5c80OCwAA+Am/SmQ2bdpU5rnD4VB6errS09PNCQgAAPg10yfEAwAA8BaJDAAAsCwSGQAAYFkkMgAAwLJIZAAAgGX51V1LgD8pWTXYKLPPkFT8v8chKjPpaqlr4HfcJyvuM4zf9gc1k2zlf5uS3C7PQ6fLpgrvB0Mqcpc8Dg2qWETJNf9TSQglhUg69TLBqvimquo6wA/4w/ckiQxQBVYaDhzhu5bUu4yUzOh6XR+8JrjmkwCL8YfvSbqWAACAZdEiA1SiqlWEWWnYOhwOhzIyMqo8XpvfpWEYcjqdkkoWpLWV6zuqqYyarq9tHKV/JsB0frYiO4kMUInarCLMSsP+zWaz1fr3U93vsnnz5vUqo7bX1xQH4Df8bEV2EhkAAMzgzSD0UgPQUYJEBgAAE/hiEDoY7AsAACyMFhkAABpJfQehlz6OEiQyAAA0El8NQsdvSGQANKjKZv6s3TUAUDMSGQANyh9m/gQQuBjsCwAALIsWGQAN6mFJoXW8pki05ACoHRIZAA0qVFJohfVva1K3MTUAmi4SmQDjD0uqw4dcxTWfU+GaSmYLBRBwnC6bKnzfG1KRu+RxaFDFiYFLrimlsq8LQ9KpCYSDVfGPhp99xZDIBBia4wNL+GdLzQ4BgJ9KyYyudxnBa4JrPsnPMdgXAABYFi0ygcDPllSH7xScfaMUHFK3i4pOKPzfyxsmIACmqu/MwJJkGIacTqfsdrts5fueallG6XjMRiITCPxsSXVfqHffbwD0+0oqSWLqmsgE/zauxunFQrkVrvGmXvyxLoEA4KuZgZs3b17vMvwFiQz8Un37fgOh39cXUjJb1rsM6hKAP2OMDAAAsCxaZOB3quqTranf9lS/r6RK+36t1u/rC+nDfpa9jg0qTlfZlhzXKFfdvykKpeB3ackB0PBIZOB3atMnW9U5gdTv6wv2YMlR33yimer+TcE3C4BGwtcNfM9dyUhPw/htf1CziiN1K7sGAIAakMjA58J3LTE7BABAE8FgXwAAYFm0yMAnfDFJU+myAACoDRIZ+ISvJmkCAKAu6FoCAACWRSIDAAAsi0QGAABYlqmJzLx589SvXz9FRkYqMjJS8fHxevfddz3HCwsLlZKSotatW6tFixZKSkpSbm6uiREDAAB/YmoiExsbqxkzZmjnzp3asWOHhg8frtGjR+uLL76QJE2cOFFr1qzRihUrtHnzZh06dEhjxowxM2QAAOBHTL1radSoUWWeP/nkk5o3b562bt2q2NhYvfbaa1q6dKmGDx8uSVqwYIF69eqlrVu36rzzzvNtMN7MRitJbpdv4wAAALXmN7dfu1wurVixQgUFBYqPj9fOnTtVXFyshIQEzzk9e/ZUhw4dtGXLlioTGafT6Vk4UJLy8/Nr9frMRgsAgPWYPth39+7datGihex2u+68806tXLlSvXv3Vk5OjkJDQxUdHV3m/JiYGOXk5FRZXlpamqKiojxbXFxcA/8EAADALKa3yPTo0UNZWVk6duyYXn/9dSUnJ2vz5s1elzd58mSlpqZ6nufn51eZzPhiNtrS5wAAgMZleiITGhqqrl27SpIGDRqk7du3a86cObruuutUVFSkvLy8Mq0yubm5atu2bZXl2e122e32Wr02s9ECAGBtpnctled2u+V0OjVo0CCFhIRow4YNnmN79+7VwYMHFR8fb2KEDehkFVuxpML/bcVVnAP4qSJJRTLKbE4ZOv6/zVnuWMkGALVjaovM5MmTNWLECHXo0EG//PKLli5dqk2bNikjI0NRUVEaN26cUlNT1apVK0VGRuqee+5RfHy87+9Y8hPBa4LNDgHwuZlmBwAgoJmayBw+fFg333yzsrOzFRUVpX79+ikjI0OXXXaZJOm5555TUFCQkpKS5HQ6lZiYqLlz55oZMgAA8COmJjKvvfZatccdDofS09OVnp7eSBE1vtBSnXu1GVBc1TmnVHcMaDSlGhcre8/yngbgK6YP9g0kTpdNklFmn2FIRe6Sx6FBFefUK3L/tqM2A4oZdAxLKPU+r+k9y3saQH2QyPhQSma02SEAANCk+N1dSwAAALVFi0w9+WJSvdJlAQCA2iORqScm1QMAwDx0LQEAAMsikQEAAJZFIgMAACyLRAYAAFgWiQwAALAs7loCADRJhmGosLDQ87yqx1LJXae28lOzwy+QyAAAmqTCwkIlJiZWeuzU/F+nZGRkMH2Gn6JrCQAAWBYtMgCAJqn8zOyVtc6cOs7M6/6LRAYA0CTVZmZ2upP8H11LAKp3spKtWFLh/7biKs4BLGTYsGF12g//QYsMgGoFrwk2OwSgQdWUrAwbNkyZmZmNFA3qihYZAABgWbTIAKjS6tWrKx3kWFhY6Lk9tapzTmGQJICGRCIDoEoOh6PGwY61OQfwZ5mZmdV2L9Gt5N/oWgIAAJZFIgMAaNI2bdpUr+MwF4kMAKBJe+yxx+p1HOYikQEANGnTp0+v13GYi8G+gD9zVzKznGH8tj+omVR+RV63q+HjAgLIxRdfXK/jMBeJDODHwnctMTsEIOBt27atxuPnnntuI0WDuqJrCQDQpD3wwAP1Og5z0SID+JnyK/KWV9NkdKWPA6jZs88+W22y8uyzzzZiNKgrEhnAz9RmRd5TmIwOqL+auo3oVvJvdC0BAADLIpEBADRpO3bsqNdxmItEBgDQpKWmptbrOMxFIgMAaNL++te/1us4zEUiAwBo0gYPHlyv4zAXdy0BAczpskkyyuwzDKnIXfI4NKjixMAl1wCANZDIAAEsJTPa7BAAv7d///4aj3fu3LmRokFd0bUEAGjSkpOT63Uc5jK1RSYtLU1vvvmmvv76a4WFhen888/XzJkz1aNHD885hYWFuv/++7Vs2TI5nU4lJiZq7ty5iomJMTFywH/Vd2bg8mUBgW7RokXVJiuLFi1qxGhQV6a2yGzevFkpKSnaunWr1q9fr+LiYl1++eUqKCjwnDNx4kStWbNGK1as0ObNm3Xo0CGNGTPGxKgB/3ZqZuCqttLJyamZgavabOUH0AABqKZuI7qV/JupLTLr1q0r83zhwoU6/fTTtXPnTg0bNkzHjh3Ta6+9pqVLl2r48OGSpAULFqhXr17aunWrzjvvPDPCBgAAfsKvxsgcO3ZMktSqVStJ0s6dO1VcXKyEhATPOT179lSHDh20ZcuWSstwOp3Kz88vswEAUJXaDPaF//KbRMbtdmvChAkaOnSo+vbtK0nKyclRaGiooqOjy5wbExOjnJycSstJS0tTVFSUZ4uLi2vo0AEAFsZgX2vzm0QmJSVFe/bs0bJly+pVzuTJk3Xs2DHP9sMPP/goQgBAIKppMC+Dff2bX8wjM378eL399tvKzMxUbGysZ3/btm1VVFSkvLy8Mq0yubm5atu2baVl2e122e32hg4ZABAgGOxrbaa2yBiGofHjx2vlypXauHFjhTfLoEGDFBISog0bNnj27d27VwcPHlR8fHxjhwsAAPyMqS0yKSkpWrp0qVavXq2IiAjPuJeoqCiFhYUpKipK48aNU2pqqlq1aqXIyEjdc889io+P544lAIBPDBs2rMbjmZmZjRQN6srURGbevHmSpIsvvrjM/gULFuiWW26RJD333HMKCgpSUlJSmQnxAAAATE1kDMOo8RyHw6H09HSlp6c3QkQAAMBK/OauJQAAzFBTtxHdSv6NRAYA0KTVZowM/BeJDAAAsCwSGQAAYFkkMgCAJo0xMtbmFzP7AgCswzAMFRYWep5X9VgqufPUZrM1WmxoekhkAAB1UlhYqMTExEqPjR49uszzjIwMhYWFNUZYXmNCPGujawkAAFgWLTIAgDpxOBzKyMjwPK+sdebUcYfD0WhxoWmiRQYAUCc2m01hYWGerTKnjllhfAyDfa2NFplSfDGArb5llL/eF2WYMRDPH+vSjBh8IRDqIRDq0RdlBMrnu7SqxpfUNK4kEN5TvuAP9eAPMdSHzajNgkcWlp+fr6ioKB07dkyRkZHVnnvixIkqB7CVV9UAtvqWUZfrfVFGQw3Es1pdNlQMvhAI9RAI9eiLMgLl833K2rVrNXPmzCqPP/zwwxo5cmSlx/zpPVWbmXsbqlXGH+rBH2KoTG3/ftO1BADwSnVJTG2OA75Ai0wp5ZvHDMOQ0+mUJNnt9jLNYbVtoqtrGZU1Pde3DG9+jvryx7o0IwZfCIR6CIR69EUZgfL5PqU+LTL+9J4ys0XGH+rBH2KoTG3/fpPIAAC8Vl0SYKVBsoHycwQSupYAAA2uqj/yVvvjHyg/R1NEIgMAACyLRAYAUC/lWy2s2ooRKD9HU8MYGQAA4HcYIwMAAAIeiQwAALAsEhkAAGBZJDIAAMCySGQAAIBlkcgAAADLIpEBAACWRSIDAAAsi0QGAABYVjOzA2hopyYuzs/PNzkSAABQW6f+bte0AEHAJzK//PKLJCkuLs7kSAAAQF398ssvioqKqvJ4wK+15Ha7dejQIUVERMhms5kdTqXy8/MVFxenH374gfWg6om69B3q0jeoR9+hLn3HCnVpGIZ++eUXtW/fXkFBVY+ECfgWmaCgIMXGxpodRq1ERkb67RvKaqhL36EufYN69B3q0nf8vS6ra4k5hcG+AADAskhkAACAZZHI+AG73a6pU6fKbrebHYrlUZe+Q136BvXoO9Sl7wRSXQb8YF8AABC4aJEBAACWRSIDAAAsi0QGAABYFokMAACwLBIZP5Cenq5OnTrJ4XBoyJAh2rZtm9khWU5mZqZGjRql9u3by2azadWqVWaHZElpaWk655xzFBERodNPP11XX3219u7da3ZYljRv3jz169fPM+FYfHy83n33XbPDsrwZM2bIZrNpwoQJZodiOdOmTZPNZiuz9ezZ0+yw6o1ExmT/+te/lJqaqqlTp2rXrl3q37+/EhMTdfjwYbNDs5SCggL1799f6enpZodiaZs3b1ZKSoq2bt2q9evXq7i4WJdffrkKCgrMDs1yYmNjNWPGDO3cuVM7duzQ8OHDNXr0aH3xxRdmh2ZZ27dv1/z589WvXz+zQ7GsPn36KDs727N99NFHZodUb9x+bbIhQ4bonHPO0YsvviipZG2ouLg43XPPPZo0aZLJ0VmTzWbTypUrdfXVV5sdiuX99NNPOv3007V582YNGzbM7HAsr1WrVnrmmWc0btw4s0OxnOPHj2vgwIGaO3eunnjiCQ0YMECzZ882OyxLmTZtmlatWqWsrCyzQ/EpWmRMVFRUpJ07dyohIcGzLygoSAkJCdqyZYuJkQEljh07JqnkDzC853K5tGzZMhUUFCg+Pt7scCwpJSVFI0eOLPN9ibrbt2+f2rdvry5dumjs2LE6ePCg2SHVW8AvGunP/vvf/8rlcikmJqbM/piYGH399dcmRQWUcLvdmjBhgoYOHaq+ffuaHY4l7d69W/Hx8SosLFSLFi20cuVK9e7d2+ywLGfZsmXatWuXtm/fbnYoljZkyBAtXLhQPXr0UHZ2th5//HFdeOGF2rNnjyIiIswOz2skMgAqlZKSoj179gREH7pZevTooaysLB07dkyvv/66kpOTtXnzZpKZOvjhhx903333af369XI4HGaHY2kjRozwPO7Xr5+GDBmijh07avny5Zbu7iSRMdFpp52m4OBg5ebmltmfm5urtm3bmhQVII0fP15vv/22MjMzFRsba3Y4lhUaGqquXbtKkgYNGqTt27drzpw5mj9/vsmRWcfOnTt1+PBhDRw40LPP5XIpMzNTL774opxOp4KDg02M0Lqio6PVvXt3ffvtt2aHUi+MkTFRaGioBg0apA0bNnj2ud1ubdiwgX50mMIwDI0fP14rV67Uxo0b1blzZ7NDCihut1tOp9PsMCzl0ksv1e7du5WVleXZBg8erLFjxyorK4skph6OHz+u7777Tu3atTM7lHqhRcZkqampSk5O1uDBg3Xuuedq9uzZKigo0K233mp2aJZy/PjxMv9V7N+/X1lZWWrVqpU6dOhgYmTWkpKSoqVLl2r16tWKiIhQTk6OJCkqKkphYWEmR2ctkydP1ogRI9ShQwf98ssvWrp0qTZt2qSMjAyzQ7OUiIiICmO0wsPD1bp1a8Zu1dEDDzygUaNGqWPHjjp06JCmTp2q4OBg3XDDDWaHVi8kMia77rrr9NNPP+mxxx5TTk6OBgwYoHXr1lUYAIzq7dixQ5dcconneWpqqiQpOTlZCxcuNCkq65k3b54k6eKLLy6zf8GCBbrlllsaPyALO3z4sG6++WZlZ2crKipK/fr1U0ZGhi677DKzQ0MT9X//93+64YYbdOTIEbVp00YXXHCBtm7dqjZt2pgdWr0wjwwAALAsxsgAAADLIpEBAACWRSIDAAAsi0QGAABYFokMAACwLBIZAABgWSQyAADAskhkAPgFm82mVatWmR0GAIshkQHQKHJycnTPPfeoS5custvtiouL06hRo8qsNeYrmzZtks1mU15ens/LBuBfWKIAQIM7cOCAhg4dqujoaD3zzDM666yzVFxcrIyMDKWkpOjrr782O8RKGYYhl8ulZs34qgT8FS0yABrc3XffLZvNpm3btikpKUndu3dXnz59lJqaqq1bt1Y4v7IWlaysLNlsNh04cECS9P3332vUqFFq2bKlwsPD1adPH73zzjs6cOCAZ92tli1bymazedaJcrvdSktLU+fOnRUWFqb+/fvr9ddfr/C67777rgYNGiS73a6PPvqoweoFQP3xbwaABnX06FGtW7dOTz75pMLDwyscj46O9qrclJQUFRUVKTMzU+Hh4fryyy/VokULxcXF6Y033lBSUpL27t2ryMhIz8rdaWlp+sc//qGXXnpJ3bp1U2Zmpv7whz+oTZs2uuiiizxlT5o0Sc8++6y6dOmili1behUfgMZBIgOgQX377bcyDEM9e/b0abkHDx5UUlKSzjrrLElSly5dPMdatWolSTr99NM9iZLT6dRTTz2l999/X/Hx8Z5rPvroI82fP79MIjN9+nRWqQYsgkQGQIMyDKNByr333nt111136b333lNCQoKSkpLUr1+/Ks//9ttv9euvv1ZIUIqKinT22WeX2Td48OAGiRmA75HIAGhQ3bp1k81mq9OA3qCgkuF7pZOg4uLiMufcfvvtSkxM1Nq1a/Xee+8pLS1Ns2bN0j333FNpmcePH5ckrV27VmeccUaZY3a7vczzyrrAAPgnBvsCaFCtWrVSYmKi0tPTVVBQUOF4ZbdIt2nTRpKUnZ3t2ZeVlVXhvLi4ON1555168803df/99+uVV16RJIWGhkqSXC6X59zevXvLbrfr4MGD6tq1a5ktLi6uPj8iABORyABocOnp6XK5XDr33HP1xhtvaN++ffrqq6/0/PPPe8arlHYquZg2bZr27duntWvXatasWWXOmTBhgjIyMrR//37t2rVLH3zwgXr16iVJ6tixo2w2m95++2399NNPOn78uCIiIvTAAw9o4sSJWrRokb777jvt2rVLL7zwghYtWtQo9QDA90hkADS4Ll26aNeuXbrkkkt0//33q2/fvrrsssu0YcMGzZs3r8L5ISEh+uc//6mvv/5a/fr108yZM/XEE0+UOcflciklJUW9evXSFVdcoe7du2vu3LmSpDPOOEOPP/64Jk2apJiYGI0fP16S9Je//EVTpkxRWlqa57q1a9eqc+fODV8JABqEzWiokXgAAAANjBYZAABgWSQyAADAskhkAACAZZHIAAAAyyKRAQAAlkUiAwAALItEBgAAWBaJDAAAsCwSGQAAYFkkMgAAwLJIZAAAgGWRyAAAAMv6/2G1CkU/gLCtAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -3836,8 +3984,6 @@
     "    x=\"Cluster\",\n",
     "    y=\"age_years\",\n",
     "    hue=\"life_satisfaction\",\n",
-    "    # legend_loc=\"upper right\"\n",
-    "    # hue=\"has_high_blood_pressure\"\n",
     ")\n",
     "sns.move_legend(ax, \"lower left\", bbox_to_anchor=(0, 1.02), ncols=5)"
    ]
@@ -3857,11 +4003,11 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "greater_london = SPCReader(\n",
+    "greater_london = Reader(\n",
     "    \"../../data/output/England/2020\",\n",
     "    \"greater-london\",\n",
     ")\n",
-    "northwest_transpennine = SPCReader(\n",
+    "northwest_transpennine = Reader(\n",
     "    \"../../data/output/special/2020\", \"northwest_transpennine\"\n",
     ")"
    ]
@@ -3946,15 +4092,15 @@
        "{'id': UInt64,\n",
        " 'household': UInt64,\n",
        " 'workplace': UInt64,\n",
-       " 'location': Struct([Field('x', Float32), Field('y', Float32)]),\n",
-       " 'orig_pid': Utf8,\n",
+       " 'location': Struct({'x': Float32, 'y': Float32}),\n",
+       " 'orig_pid': String,\n",
        " 'id_tus_hh': Int64,\n",
        " 'id_tus_p': Int64,\n",
        " 'pid_hs': Int64,\n",
        " 'sex': Int32,\n",
        " 'age_years': UInt32,\n",
        " 'ethnicity': Int32,\n",
-       " 'sic1d2007': Utf8,\n",
+       " 'sic1d2007': String,\n",
        " 'sic2d2007': UInt64,\n",
        " 'soc2010': UInt64,\n",
        " 'pwkstat': Int32,\n",
@@ -3967,13 +4113,13 @@
        " 'number_medications': UInt64,\n",
        " 'self_assessed_health': Int32,\n",
        " 'life_satisfaction': Int32,\n",
-       " 'events': Struct([Field('sport', Float32), Field('rugby', Float32), Field('concert_m', Float32), Field('concert_f', Float32), Field('concert_ms', Float32), Field('concert_fs', Float32), Field('museum', Float32)]),\n",
+       " 'events': Struct({'sport': Float32, 'rugby': Float32, 'concert_m': Float32, 'concert_f': Float32, 'concert_ms': Float32, 'concert_fs': Float32, 'museum': Float32}),\n",
        " 'weekday_diaries': List(UInt64),\n",
        " 'weekend_diaries': List(UInt64),\n",
-       " 'msoa': Utf8,\n",
-       " 'oa': Utf8,\n",
+       " 'msoa': String,\n",
+       " 'oa': String,\n",
        " 'members': List(UInt64),\n",
-       " 'hid': Utf8,\n",
+       " 'hid': String,\n",
        " 'nssec8': Int32,\n",
        " 'accommodation_type': Int32,\n",
        " 'communal_type': Int32,\n",
@@ -3981,7 +4127,7 @@
        " 'central_heat': Boolean,\n",
        " 'tenure': Int32,\n",
        " 'num_cars': UInt64,\n",
-       " 'region': Utf8}"
+       " 'region': String}"
       ]
      },
      "execution_count": 32,
@@ -4014,7 +4160,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -4060,7 +4206,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjcAAAICCAYAAAAzn+ywAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAABr9UlEQVR4nO3deVxUVf8H8M+wDfvmxiICiiIumDtgieuD+/I8uZCG5lKaC5aaaT7uipVrWaapYLmVlVqWmppormlqobkvgE+4C4jK4nB+f/hjYmSAYRbmzuXzfr3mpXO/Z+49l7l35jvnnnuOQgghQERERCQTVuauABEREZExMbkhIiIiWWFyQ0RERLLC5IaIiIhkhckNERERyQqTGyIiIpIVJjdEREQkK0xuiIiISFZszF0BKRJC4OnTp1CpVOauChERGYm1tTVsbGygUCjMXRUyMSY3z8nNzUVaWhoeP35s7qoQEZGROTo6wtvbG3Z2duauCpmQgtMv/CM/Px+XLl2CtbU1qlSpAjs7O2b4REQyIIRAbm4u7ty5A5VKhdq1a8PKij0z5IotN4Xk5uYiPz8ffn5+cHR0NHd1iIjIiBwcHGBra4vk5GTk5ubC3t7e3FUiE2HaqgWzeSIieeLne8XAd5mIiIhkhckNERERyQqTGyIiIpIVJjdEFqRNmzYYN26cuatBRCRpTG6IqMwKBrokIpIiJjdEFmLw4MHYv38/li5dCoVCAYVCgevXr+PMmTPo3LkznJ2dUa1aNbz66qu4e/eu+nVt2rTB2LFj8c4778DT0xNeXl6YMWOGOn79+nUoFAqcPn1avSw9PR0KhQKJiYkAgMTERCgUCuzYsQNNmzaFUqnEwYMHkZ+fj7i4OAQGBsLBwQGNGjXCN998U05/ESIi7ZjcEFmIpUuXIjw8HMOHD0daWhrS0tLg4uKCdu3aoXHjxjhx4gR27tyJW7duoW/fvhqvXbt2LZycnHDs2DF88MEHmDVrFnbv3l3mOrz77ruYP38+zp07h9DQUMTFxeGLL77AZ599hrNnz+Ktt97CwIEDsX//fmPtNhFRmXEQPyIL4ebmBjs7Ozg6OsLLywsAMGfOHDRu3Bjz5s1Tl1uzZg38/Pxw8eJF1KlTBwAQGhqK6dOnAwBq166NZcuWYe/evejYsWOZ6jBr1iz1a3JycjBv3jzs2bMH4eHhAICaNWvi4MGDWLFiBSIjIw3eZyIifTC5IbJgf/zxB/bt2wdnZ+cisStXrmgkN4V5e3vj9u3bZd5es2bN1P+/fPkyHj9+XCRBys3NRePGjcu8biIiY2FyQ2TBsrKy0L17d7z//vtFYt7e3ur/29raasQUCgXy8/MB/DNia+Fp5vLy8rRuz8nJSWPbAPDjjz/C19dXo5xSqSzLbhARGRWTGyILYmdnB5VKpX7epEkTfPvttwgICICNjX6nc5UqVQAAaWlp6haXwp2Li1OvXj0olUqkpKTwEhQRSQqTGyILEhAQgGPHjuH69etwdnbGqFGj8PnnnyM6Olp9N9Tly5exadMmrFq1CtbW1qWu08HBAWFhYZg/fz4CAwNx+/ZtTJ06tdTXubi4YMKECXjrrbeQn5+PF198ERkZGTh06BBcXV0xaNAgY+wyEVGZ8W4pIgsyYcIEWFtbo169eqhSpQpyc3Nx6NAhqFQq/Otf/0LDhg0xbtw4uLu7l2mCwDVr1uDp06do2rQpxo0bhzlz5uj0utmzZ+O///0v4uLiEBISgk6dOuHHH39EYGCgvrtIRGQwhSh8ob2Cy87OxrVr1xAYGAh7e3tzV4eIiIyMn/MVA1tuiIiISFaY3BAREZGsMLkhIiIiWWFyQ0RERLLC5IaIiIhkhckNERERyQqTGyIiIpIVJjdEREQkK5x+QUcqlQrlOd6hQqHQaeh8IqnjuUNE5Y3JjQ5UKhV6//tlpD+4V27bdPeohC3ffcMPabJoKpUKvf/TG+n308ttm+6e7tjy7RaeO0QVGC9L6UAIgfQH9/Co2WA8aj7E9I9mg5H+4F6Zf+2mpqZiyJAh8PHxgZ2dHfz9/REbG4t7954lZe+++y7q1q2r8Zrz589DoVBg8ODBGssTEhKgVCrx5MkTAM9+Ddvb2yM5OVmjXK9evTReO3jwYCgUiiKPTp06qcsEBASolzs4OCAgIAB9+/bFL7/8ovO+Xr9+Xet2Bg4cCABITEyEQqFAenp6kdcGBARgyZIl6ucKhQJbt27Vuh1t65k9eza8vb1x//59jbJ//PEHlEoltm/frvN+yJ0QAun306HqrYLqP+Xw6K1C+v30Mp87hY9bW1tbBAYG4p133kF2dra6jLbjTaFQYNOmTQD+OVbq16+vMXM7ALi7uyMhIUFdpqRHYmIiEhIStMYKTxfwfJ2rVauGjh07Ys2aNcjPz9d53//44w/06NEDVatWhb29PQICAtCvXz/cvn1bo9zatWvRvHlzODo6wsXFBZGRkVqPdSEEVq5ciZYtW8LZ2Rnu7u5o1qwZlixZgsePHwMAZsyYgRdeeKHIa2/cuAE7Ozs0aNBAa11LOleJCmNyUxYKK8CqHB6Ksr8tV69eRbNmzXDp0iVs3LgRly9fxmeffYa9e/ciPDwc9+/fR9u2bXHhwgXcvHlT/bp9+/bBz88PiYmJGuvbt28fwsLC4ODg8M/uKxSYNm1aqXXp1KkT0tLSNB4bN27UKDNr1iykpaXhwoUL+OKLL+Du7o4OHTpg7ty5ZdrvPXv2aGznk08+KdPr9TF58mT4+flh1KhR6mV5eXkYNGgQBg4ciG7dupm8DhbHqhwfeio4bq9evYrFixdjxYoVmD59ukaZ+Pj4Isd2r169NMpcvXoVX3zxhdZtREREaLy2b9++Rc6XiIgIAICrq2uRbT3/46LgtdevX8eOHTvQtm1bxMbGolu3bnj69Gmp+3znzh20b98enp6e2LVrF86dO4f4+Hj4+Pjg0aNH6nITJkzAG2+8gX79+uHPP//Eb7/9hhdffBE9e/bEsmXLNNb56quvYty4cejZsyf27duH06dP47///S+2bduGn3/+ucT6JCQkoG/fvsjMzMSxY8dKrT9RcXhZSiZGjRoFOzs7/Pzzz+qEpEaNGmjcuDFq1aqF9957DwsWLICtrS0SExPRv39/AM9+bY4aNQpz587F9evXERAQoF7+2muvaWxj9OjRWLRoESZOnFjsLysAUCqV8PLyKrG+Li4u6jI1atRA69at4e3tjWnTpuHll19GcHCwTvtdqVKlUrdlbDY2Nvjiiy/QuHFjfPPNN3j55Zcxd+5cpKenY/HixeVaFzKewsetn58fOnTogN27d+P9999Xl3F3dy/1eBszZgymT5+OV155BUqlUiNmZ2en8XoHBwfk5ORoXadCoSh1W4Xr7OvriyZNmiAsLAzt27dHQkIChg0bVuLrDx06hIyMDKxatQo2Ns++DgIDA9G2bVt1maNHj2LhwoX46KOPMGbMGPXyuXPnIjs7G2+//TZ69uwJPz8/fP3111i/fj22bt2Knj17qssGBASgR48eyMzMLLYuQgjEx8fj008/RfXq1bF69Wq0bNmyxPoTFYctNzJw//597Nq1C2+++aZGSwsAeHl5YcCAAfjqq6/g6OiI5s2bY9++fep4YmIi2rdvj1atWqmXX716FSkpKRofcADQqlUrdOvWDe+++65J9iM2NhZCCGzbts0k6zemunXrIi4uDiNHjsSuXbsQFxeH+Ph4uLq6mrtqZARnzpzB4cOHYWdnV+bXjhs3Dk+fPsXHH39sgpqVrl27dmjUqBG+++67Ust6eXnh6dOn2LJlS7GX8jZu3AhnZ2e88cYbRWLjx49HXl4evv32WwDA+vXrERwcrJHYFFAoFHBzcyu2Lvv27cPjx4/RoUMHDBw4EJs2bdJoPSIqCyY3MnDp0iUIIRASEqI1HhISggcPHuDOnTto27at+hLUX3/9hezsbDRu3BitW7dWL09MTIS9vT3CwsKKrCsuLg47d+7Er7/+Wmx9tm/fDmdnZ43HvHnzSt0PT09PVK1aFdevXy+1bIGIiAiN7Zw6dUrn1xoqNjYWDRo0QJcuXTBy5MgiySBZloLj1t7eHg0bNsTt27cxceJEjTLR0dFFju2UlBSNMo6Ojpg+fTri4uKQkZGhd30yMjKKbKtz5846vbZu3bo6nUdhYWGYMmUKXnnlFVSuXBmdO3fGhx9+iFu3bqnLXLx4EbVq1dKa6Pn4+MDV1RUXL14E8OyzSNdW1+etXr0a/fv3h7W1NRo0aICaNWti8+bNeq2LiMmNjOjSibJNmza4ePEi0tLSkJiYiBdffBHW1taIjIzUSG4iIiKKNKkDQL169RATE1Ni603btm1x+vRpjceIESN03geFQqFTWQD46quvNLZTr149nV9rKIVCgffeew/5+fmYOnVquW2XTKPguD127BgGDRqE1157Df/5z380yixevLjIse3j41NkXUOHDkWlSpU0LmmVlYuLS5FtrVq1SqfXluU8mjt3Lm7evInPPvsM9evXx2effYa6desiKSlJY326blcf6enp+O6779Q3BADAwIEDsXr1ar3WR8Q+NzIQFBQEhUKBc+fOoXfv3kXi586dg4eHB6pUqYJWrVrBzs4O+/btw759+xAZGQkAaN68Oe7evYurV68iMTFRaxN0gZkzZ6JOnTrF3rXg5OSEoKCgMu/HvXv3cOfOHQQGBur8Gj8/P63bKrg8lJGRAXd3d41Yenp6ic3jZVHQT6HgX7JchY/bNWvWoFGjRli9ejWGDh2qLuPl5aXTsW1jY4O5c+di8ODBGD16tF71sbKy0us8Ap6d82U5jypVqoQ+ffqgT58+mDdvHho3bowFCxZg7dq1qFOnDg4ePIjc3NwirTd///03MjMzUadOHQBAnTp1cP78+TLXd8OGDcjOztboYyOEQH5+Pi5evKheP5Gu2HIjA5UqVULHjh3x6aefqm/dLnDz5k2sX78e/fr1U9963bJlSyQmJmL//v1o06YNAMDW1hZhYWFYvXo1UlNTS7zE4ufnh9GjR2PKlClFbnk1xNKlS2FlZVXk7hN91K5dG1ZWVvj99981ll+9ehUZGRn8sKQSWVlZYcqUKZg6dWqRc0pXffr0Qf369TFz5kwj165kv/zyC5KSkoq0OunKzs4OtWrVUvd36d+/P7KysrBixYoiZQtuUijY1iuvvIKLFy9q7TcnhCj2Mt3q1asxfvx4jVaqP/74Ay+99BLWrFmj135Qxcafm2Uh8gHdh48wbDtltGzZMkRERCAqKgpz5sxBYGAgzp49i4kTJ8LX11fjFuu2bduq7+pp0qSJenlkZCQWLFgAJycnNG/evMTtTZ48GZ9//jmuXbuGfv36acRycnI0bjcHnv2SrVy5svr5w4cPcfPmTeTl5eHatWtYt24dVq1ahbi4OL1/rRbm4uKCYcOGYfz48bCxsUHDhg2RmpqKSZMmISwsTH27bYFr167h9OnTGstq166t/n9SUhJcXFzUzxUKBRo1amRwPSuM8jhvjLydPn36YOLEifjkk08wYcIEAM9a/Z4/tl1cXODk5KR1HfPnz0dUVJRe2xdCFNkWAFStWhVWVs9+lxacayqVCrdu3cLOnTsRFxeHbt26ISYmptRtbN++HZs2bUL//v1Rp04dCCHwww8/4KeffkJ8fDwAIDw8HLGxsZg4cSJyc3PRq1cv5OXlYd26dVi6dCmWLFkCPz8/AEDfvn2xZcsWREdHY+rUqfjXv/6FKlWqICkpCYsXL8aYMWOK/Hg5ffo0Tp48ifXr1xcZhys6OhqzZs3CnDlz1K2jxZ2rxb0HVDExudGBQqGAu0cl4ERCuW3T3aNSmfqe1K5dGydOnMD06dPRt29f3L9/H15eXujVqxemT58OT09Pddm2bdti1qxZ6NSpk8bllMjISEyfPh1RUVGwtbUtcXuenp6YNGkSpkyZUiS2c+dOeHt7aywLDg7WaK6eNm0apk2bpr41NiwsDHv37jVqp9ylS5di/vz5mDRpEpKTk+Hl5YWOHTti7ty5Rf62b7/9dpHXF+403bp1a42YtbW1TuOIVHQKhQLunu5I35Jebtt093Qv07lTHBsbG4wePRoffPABRo4cCQBFhkcAnnWyL64PWrt27dCuXbtSx3fRJjMzs8h5BABpaWnq278LzjUbGxt4eHigUaNG+OijjzBo0CB1AlSSevXqwdHREePHj0dqaiqUSiVq166NVatW4dVXX1WXW7JkCUJDQ/Hpp59i6tSpsLa2RpMmTbB161Z0795dXU6hUGDDhg1YuXIl1qxZg7lz58LGxga1a9dGTEyM1kRv9erVqFevXpHEBgB69+6N0aNH46effkKPHj0AFH+uvvjii6XuL1UcClGek75IXHZ2Nq5du4bAwECNkUABzo9DpC+eOyQlJX3Ok3yw5UZH/LAk0g/PHSIqb+xQTJI0YsSIImN8FDx0va2cqKJbv359sedR/fr1zV09IpPhZalC2FwpHbdv3y52qHZXV1dUrVq1nGtEZHkePnyoMSBfYba2tvD39y/nGpkfP+crBl6WIkmqWrUqExgiA7m4uGjc5UdUUfCyFBEREckKkxsiIiKSFSY3REREJCtMboiIiEhW2KFYRxyIjEg/PHeIqLwxudGBSqVCn//0wt372id9M4XKnm7Y/O1WfkiTRVOpVOjTuzfupqeX2zYru7tj85YtPHeIKjBeltKBEAJ372dgddsHSGhn+sfqtg9w935GmX/tpqamYsiQIfDx8YGdnR38/f0RGxuLe/fuAQDefffdIvO3nD9/HgqFAoMHD9ZYnpCQAKVSqZ4RWaFQwN7eHsnJyRrlevXqpfHawYMHQ6FQFHl06tRJXSYgIEC93MHBAQEBAejbty9++eUXnff1+vXr6l/o//vf/zRiaWlpsLGxgUKhwPXr1zVia9euRfPmzeHo6AgXFxdERkZi+/btGmUSExM16l6lShV06dIFSUlJ6r9FSY8ZM2ao1/Xtt9+iXbt28PDwgIODA4KDgzFkyBCcOnWqyD49efIEnp6eqFy5MnJycrTuty7rS0hI0Fovc4zpIYTA3fR0/BfAjHJ4/BfA3fT0Mp87hY9bW1tbBAYG4p133kF2dra6THHv96ZNmwD8c9zUr18fKpVKY/3u7u5ISEgocmxpeyQmJur0Hj5f52rVqqFjx45Ys2YN8vN1n0G08Pno5OSEJk2aYPPmzer4jBkz1HFra2v4+fnh9ddfx/3794usZ8mSJcjNzUXlypUxf/58rdubPXs2qlWrhry8PPWyunXrQqlUqicKNebfiSomJjdlYK0AbKxM/7DWY86/q1evolmzZrh06RI2btyIy5cv47PPPsPevXsRHh6O+/fvo23btrhw4YLGTMP79u2Dn58fEhMTNda3b98+hIWFwcHBQb1MoVBg2rRppdalU6dOSEtL03hs3LhRo8ysWbOQlpaGCxcu4IsvvoC7uzs6dOigMXu5Lnx9ffHFF19oLFu7di18fX2LlJ0wYQLeeOMN9OvXD3/++Sd+++03vPjii+jZsyeWLVtWpPyFCxeQlpaGXbt2IScnB127dkVubq7Gfi1ZsgSurq4aywpmkJ40aRL69euHF154Ad9//z0uXLiADRs2oGbNmpg8eXKR7X377beoX78+6tati61btxaJl2V9z9cpLS2tSGJanqwBWENRDg/9FRy3V69exeLFi7FixQpMnz5do0x8fHyRv+vzs1xfvXq1yDFZICIiQuO1ffv2LXK+FMxYr8t7WPDa69evY8eOHWjbti1iY2PRrVu3Mk3sWnA+njp1Cs2bN0e/fv1w+PBhdbx+/fpIS0tDSkoK4uPjsXPnTvVkos+zs7PDwIED1bOKFyaEQEJCAmJiYtST8x48eBBPnjzByy+/jLVr15rk70QVDy9LycSoUaNgZ2eHn3/+WZ2Q1KhRA40bN0atWrXw3nvvYcGCBbC1tUViYiL69+8P4NkvpFGjRmHu3Lm4fv06AgIC1MufnwF59OjRWLRoESZOnIgGDRoUWxelUqmetbg4Li4u6jI1atRA69at4e3tjWnTpuHll19GcHCwTvs9aNAgxMfHa3y5x8fHY9CgQZg9e7Z62dGjR7Fw4UJ89NFHGDNmjHr53LlzkZ2djbfffhs9e/aEn5+fOla1alW4u7vDy8sL48aNQ48ePXD+/HmEhoaqy7i5uUGhUBTZ36NHj+KDDz7A0qVLMXbsWPXyGjVqoGnTplpbFlavXo2BAwdCCIHVq1ejX79+eq9PW52oZIWPWz8/P3To0AG7d+/G+++/ry5TcDyUZMyYMZg+fTpeeeUVKJVKjZidnZ3G6x0cHJCTk6N1nbq8h4Xr7OvriyZNmiAsLAzt27dHQkIChg0bVvJO/7+C89HLywuffPIJ1q1bhx9++EGdQNjY2Ghsp0+fPlqTlwJDhw7F0qVLcfDgQY3Zuvfv34+rV69i6NCh6mWrV6/GK6+8gsjISMTGxmLSpElG/ztRxcOWGxm4f/8+du3ahTfffFOjpQUAvLy8MGDAAHz11VdwdHRE8+bNsW/fPnU8MTER7du3R6tWrdTLr169ipSUFLRt21ZjXa1atUK3bt3w7rvvmmQ/YmNjIYTAtm3bdH5Njx498ODBAxw8eBDAs1+BDx48QPfu3TXKbdy4Ec7OznjjjTeKrGP8+PHIy8vDt99+q3UbGRkZ6ksPdnZ2OtWrYHtvvvmm1rhCodk8d+XKFRw5cgR9+/ZF37598euvv2r8+izr+sgwZ86cweHDh3V+vwsbN24cnj59io8//tgENStdu3bt0KhRI3z33Xd6vd7Gxga2trbIzc3VGr9+/Tp27dpV4t+mYcOGaN68OdasWaOxPD4+HhEREerL4w8fPsTmzZsxcOBAdOzYERkZGfj111/1qjdRYUxuZODSpUsQQiAkJERrPCQkBA8ePMCdO3fQtm1b9SWov/76C9nZ2WjcuDFat26tXp6YmAh7e3uEhYUVWVdcXBx27txZ4gfQ9u3bi0zSN2/evFL3w9PTE1WrVi3ST6Yktra2GDhwoPpDdM2aNRg4cKC6ybvAxYsXUatWLa0fyD4+PnB1dcXFixc1llevXh3Ozs5wd3fHhg0b0KNHjyJ9lopz8eJF1KxZEzY2/zSOLlq0SONvkpHxTwf1NWvWoHPnzvDw8ICnpyeioqI0fhmXdX0ZGRlF3oPOnTvrVPeKquC4tbe3R8OGDXH79m1MnDhRo0x0dHSRv2tKSopGGUdHR0yfPh1xcXEa70lZGfIe1q1bt0znUYHc3Fx1vdu1a6denpSUBGdnZzg4OCAwMBBnz57FpEmTSlzX0KFDsXnzZmRlZQF4lsh88803GDJkiLrMpk2bULt2bdSvXx/W1tbo378/Vq9eXaY681gnbXhZSkZ06UTZpk0bzJ07F2lpaUhMTMSLL74Ia2trREZG4rPPPgPwLLmJiIgo0qQOAPXq1UNMTAzeffddHDp0SOs22rZti+XLl2ss8/T01HkfytoKMWTIEERERGDevHnYvHkzjhw5orW/QVk7mf76669wdHTE0aNHMW/ePPXfR19DhgxBjx49cOzYMfXlJ+DZHUVr167F0qVL1WUHDhyICRMmYNq0abCy0v4bpLj1Ac8uM5w8eVKj/POteqSp4Lh99OgRFi9eDBsbG/znP//RKLN48WJ06NBBY5mPj0+RdQ0dOhQLFy7E+++/r1Nir40h72FZz6NJkyZh6tSpyM7OhrOzM+bPn4+uXbuq48HBwfj++++RnZ2NdevW4fTp0xqXd7WJjo7GW2+9ha+//hpDhgzBV199BSsrK43LrQU/RgoMHDgQkZGR+Pjjj3WeE4vHOmnD5EYGgoKCoFAocO7cOfTu3btI/Ny5c/Dw8ECVKlXQqlUr2NnZYd++fdi3bx8iIyMBAM2bN8fdu3dx9epVJCYmar18U2DmzJmoU6eO1k6vAODk5ISgoKAy78e9e/dw584dBAYGlul1DRs2RN26dREdHY2QkBA0aNAAp0+f1ihTp04dHDx4ELm5uUVab/7++29kZmaiTp06GssDAwPh7u6O4OBg3L59G/369cOBAwd0qlPt2rVx8OBB5OXlqVuR3N3d4e7ujhs3bmiU3bVrF/73v/9pfOgDz5KevXv3omPHjmVaHwBYWVnp9R5UZIWP2zVr1qBRo0ZYvXq1Rv8QLy8vnf6uNjY2mDt3LgYPHozRo0frVR9D3sNz586V6TyaOHEiBg8eDGdnZ1SrVq1IYmRnZ6euS0HiM3PmTI1+bc9zdXXFyy+/jPj4eAwZMgTx8fHo27cvnJ2dATxrOT569Ch+++03jVYglUqFTZs2Yfjw4TrVncc6acPLUjJQqVIldOzYEZ9++qn61u0CN2/exPr169GvXz/1rdctW7ZEYmIi9u/fjzZt2gB4dnknLCwMq1evRmpqapH+NoX5+flh9OjRmDJlSpFbXg2xdOlSWFlZFbn7RBdDhgxBYmKiRpN3Yf3790dWVhZWrFhRJFbQ0fr5X+mFjRo1CmfOnMGWLVt0qk90dDSysrLw6aefllp29erV6N+/P06fPq3xKNxEX5b1keGsrKwwZcoUTJ06tcg5pas+ffqgfv36mDlzppFrV7JffvkFSUlJJR7Pz6tcuTKCgoLg5eWlU4vP1KlTsWDBAvz9998llhs6dCgOHjyI7du34/Dhw0U6Erdu3Rp//PGHxnH/9ttvl/nSFNHz2HJTBioBQPfhIwzbThktW7YMERERiIqKwpw5c9TXxSdOnAhfX1+NW6zbtm2LxYsXAwCaNGmiXh4ZGYkFCxbAyckJzZs3L3F7kydPxueff45r164VaXHIycnRuN0cePZLtnLlyurnDx8+xM2bN5GXl4dr165h3bp1WLVqFeLi4vT6FTZ8+HD06dMH7u7uWuPh4eGIjY3FxIkTkZubi169eiEvLw/r1q3D0qVLsWTJEo07pZ7n6OiI4cOHY/r06ejVq1epXwDh4eEYP348xo8fj+TkZPz73/+Gn58f0tLSsHr1aigUClhZWeHOnTv44Ycf8P333xe5Ay0mJga9e/fG/fv3dV5fASFEkfcAeHYHWHGXuUzpWQps+lGKjZdqP0tOJk6ciE8++UR9e396enqRv6uLiwucnJy0rmP+/PmIiorSa/u6vIcF55pKpcKtW7ewc+dOxMXFoVu3boiJidFru7oIDw9HaGgo5s2bp3UYhQKtW7dGUFAQYmJiULduXfXdV3l5efjyyy8xa9asIsf9sGHDsGjRIpw9exb169cvtS5SO9ZJGpjc6EChUKCypxuG7iu9rLFU9nQr0zXz2rVr48SJE5g+fTr69u2L+/fvw8vLC7169cL06dM1+ry0bdsWs2bNQqdOnTQ6qEZGRmL69OmIiooq0iH3eZ6enpg0aRKmTJlSJLZz5054e3trLAsODsb58+fVz6dNm4Zp06apb/kMCwvD3r17S2wxKsnzyZM2S5YsQWhoKD799FNMnToV1tbWaNKkCbZu3Vrk7iptCm6F37x5M/r27Vtq+QULFqBFixZYvnw51qxZg8ePH6NatWpo3bo1jhw5AldXVyxcuBBOTk5o3759kde3b98eDg4OWLduHcaOHavT+gpkZmYWeQ+AZwMcludtswqFApXd3TG7nEcoNsbdYzY2Nhg9ejQ++OAD9Zguzw+PADzrZF/cHYTt2rVDu3bt8PPPP5d5+7q8hwXnmo2NDTw8PNCoUSN89NFHGDRokMm/2N966y0MHjwYkyZNKvaHgUKhwJAhQzBlyhSN4Rq+//573Lt3T+tl9JCQEISEhGD16tVYtGhRqfWQyrFO0qIQ5Tnpi8RlZ2fj2rVrCAwMLDLCJefHIdIPzx2SkpI+50k+2HKjI35YEumH5w4RlTdekCRJGjFiRJGxKwoeI0aMMHf1iCzC+vXriz2PdOnPQmSpeFmqEDZXSsft27eRmZmpNebq6oqqVauWc42ILM/Dhw9x69YtrTFbW1v4+/uXc43Mj5/zFQMvS5EkVa1alQkMkYFcXFx0HgyPSE54WUoLNmYREckTP98rBiY3hRTc/vz48WMz14SIiEyh4PO9tOEuyLLxslQh1tbWcHd3x+3btwE8G7iNsy0TEVk+IQQeP36M27dvw93dnXfxyRw7FD+nYLTL9HIcdIyIiMqHu7u7ztNMkOViclMMlUqFvLw8c1eDiIiMxNbWli02FQSTGyIiIpIVdigmIiIiWWFyQ0RERLLC5IaIiIhkhckNERERyQqTGyIiIpIVJjdEREQkK0xuiIiISFaY3BAREZGsMLkhIiIiWWFyQ0RERLJS4WYFz8/Px99//w0XFxdOnEZERGQhhBB4+PAhfHx8YGVVcttMhUtu/v77b/j5+Zm7GkRERKSH1NRUVK9evcQyFS65cXFxAfDsj+Pq6mrm2hAREZEuMjMz4efnp/4eL0mFS24KLkW5uroyuSEiIrIwunQpYYdiIiIikhUmN0RERCQrTG6IiIhIVpjcEBERkawwuSEiIiJZYXJDREREssLkhoiIiGSFyQ0RERHJCpMbIiIikpUKN0KxXLRp0wb5+fmwsrJCYmKiuaujl9atW6v/f+DAATPWxDCjRo1CUlISGjZsiE8++cTc1dGbHI4pIiKALTcWaceOHcjPzwfwbJbzHTt2mLlGZff555+X+NxSpKSkICkpCQCQlJSElJQUM9dIP3I4poiICiiEEMLclShPmZmZcHNzQ0ZGhsXOLVW4xaOApbV8yGEfAKBTp054/Pix+rmjoyN27txpxhrpRy7vBxHJV1m+v9lyY2EGDRpUpuVS1KVLlzItl6r169drJDYA8PjxY6xfv95MNdKPHI4pIqLCmNxYkEePHuHatWtaY9euXcOjR4/KuUZl9+DBA2RlZWmNZWVl4cGDB+VcI/08ffoUK1as0BpbsWIFnj59Ws410o8cjikioucxubEgQ4cONSguBX379jUoLhUJCQkGxaVCDscUEdHzmNxYkNWrVxsUl4Kvv/7aoLhUDB482KC4VKxatcqgOBGRFDG5sSBOTk4IDAzUGgsKCoKTk1M516jsPDw84OzsrDXm7OwMDw+Pcq6RfqytrVG9enWtMT8/P1hbW5dzjfRz9+5dg+JERFLE5MbCjBkzRuvyN998s5xror8BAwaUabkUJScn48aNG1pjqampSE5OLuca6cff37/YhDkwMBD+/v7lXCMiIsMxubEg+fn5mDFjhtbYjBkz1OOUSJlcOuL6+/ujefPmWmMtWrSwmKQgPz+/2LF5UlJSLOKYIiJ6HpMbC3LkyBFkZmZqjWVmZuLIkSPlXKOyk0tHXIVCgejoaK2x6OhoKBSKcq6Rfr7//nuoVCqtMZVKhe+//76ca0REZDgmNxakWbNmBsWlQC4dcYUQ2Lhxo9bYhg0bYCljY/bo0aPY/kE2Njbo0aNHOdeIiMhwTG4syMcff2xQXApsbGzQokULrbGwsDDY2FjGdGfJyck4fvy41tjx48ctps+NtbU1hg0bpjX2+uuvW0zHaCKiwpjcWJCRI0caFJeCp0+f4rffftMaO3r0qMX0ualRowZsbW21xmxtbVGjRo1yrpF+hBD48ccftca+//57i2mBIiIqjMmNBfnggw8MikuBHMbqAYArV64gLy9PaywvLw9Xrlwp5xrp5+rVq8Xe9XXjxg1cvXq1nGtERGQ4JjcWZODAgQbFpeDevXsGxaXiiy++MCguFb/88otBcSIiKWJyY0FKu73YEm4/fvjwoUFxqahXr55BcakobowbXeNERFLE5MaCfPTRRwbFpaC0DqqW0oG1uMk/dY1Lxa+//mpQnIhIipjcWJAhQ4YYFJeCcePGGRSXildeecWguFSMGjXKoDgRkRQxubEgchgjJiYmxqC4VEyfPt2guFTIoR8XEdHzmNxYkOKmXtA1LgVyafGQQysaUPxcZbrGiYikiMmNBdmwYYNBcSmQQ6doADh8+LBBcakobiBCXeNERFJk1uRmxowZUCgUGo+6desWWz4hIaFIeXt7+3KssXnNmTPHoLgUhIWFGRSXipdeesmguFTIpSWNiKgws7fc1K9fH2lpaerHwYMHSyzv6uqqUd5Shrk3htTUVIPiUrB9+3aD4lKRlJRkUFwqzp49a1CcTGPVqlVo06YNVq1aZe6q6O3QoUPo06cPDh06ZO6qUAVk9uTGxsYGXl5e6kflypVLLK9QKDTKV6tWrZxqan5Dhw41KC4FixcvNiguFaWN3GspI/suXbrUoDgZX3p6Or788kvk5+fjyy+/RHp6urmrVGbZ2dlYuHAhbt26hYULFyI7O9vcVarw5JAwl4XZk5tLly7Bx8cHNWvWxIABA5CSklJi+aysLPj7+8PPzw89e/Ys9ZdlTk4OMjMzNR5EhpJLCxRJz+TJk9VzegkhMGXKFDPXqOzWrVuHu3fvAgDu3r2L9evXm7lGFVt6ejrWrVuH/Px8rFu3ziIT5rIya3LTsmVLJCQkYOfOnVi+fDmuXbuGl156qdhRaoODg7FmzRps27ZN/UZFREQUOzcOAMTFxcHNzU398PPzM9XuVGhCCDx58qTUhy50WQ8ndCQ5OnHiRJEfbGfOnMGJEyfMVKOyu3HjRpFkZt26dSV+TkuZHC6vvffee8jPzwcA5OfnY+rUqWaukekphIS+JdLT0+Hv749FixbpdIklLy8PISEhiI6OxuzZs7WWycnJQU5Ojvp5ZmYm/Pz8kJGRAVdXV6PVvTy0bt261DIHDhwoh5oU9eTJE0RFRZXb9nbt2gUHB4dy297zpPxelIVc9kMO8vPz0a1bN62jWzs7O2P79u2wsjJ7Y3uJhBCYMGGC1rvsmjdvjgULFkChUJihZvrJzs7GK6+8grt376Jy5crYsGGDxd3EcuLECbz99ttFli9atAjNmjUzQ430l5mZCTc3N52+vyV1pri7u6NOnTq4fPmyTuVtbW3RuHHjEssrlUq4urpqPIiIpObIkSPFTtuRlZWFI0eOlHONyi45ObnY4QOOHz9ucTeArFu3Tj2Z77179yzu8lp+fn6x45/NmDFD3ZojRzbmrkBhWVlZuHLlCl599VWdyqtUKiQlJaFLly4mrplpCSGM1uGutEs/9vb2JvnlZG9vj127dulUtqQWHl3XYWm/nsqbHI6pisbb29uguBSUdtnfkroFFFxeK9z/af369YiKikL16tXNXDvdHDlypNh+ppmZmThy5AhatWpVzrUqH2ZNbiZMmIDu3bvD398ff//9N6ZPnw5ra2tER0cDeDYUv6+vL+Li4gAAs2bNQlhYGIKCgpCeno4PP/wQycnJGDZsmDl3w2DZ2dlGu6RT2npMdTlHoVDovN4DBw5ovRzCyx/GI4djqqIp7Ve0JfzK3rNnT6nx8rx8rS8hhNY7NwuWW8rltZYtWxoUt2RmvSx148YNREdHIzg4GH379kWlSpVw9OhRVKlSBQCQkpKCtLQ0dfkHDx5g+PDhCAkJQZcuXZCZmYnDhw+jXr165toF0tPzfQcsZTZwIlNJTEw0KC4FH330kUFxqSi4vKZSqTSWq1Qqi7q8duzYMYPilkxSHYrLQ1k6JJUXXS8hnDlzBuPHjy82vnDhQjRo0KDEdUjlEsLzHZAtrdVG6h1xdT2mMjIy0Ldv32LjX3/9Ndzc3Epch1SOKUtXWqd8S2ghS0lJKXGy1XXr1qFGjRrlWCP9CCEwZswY/Pnnn0VioaGh+Pjjjy3imFepVOjQoUORJA14Nsbc7t27LeqHZVm+vyXV56ai0vWSTvPmzQ2KS5Wu/WxId7oeUw4ODvDw8MCDBw+KxDw9PeHl5WWK6pEWn3zySanxCRMmlFNt9FNaF4Fhw4bh559/LqfaGKa43/2W1B6QmpqqNbEBgKdPnyI1NRUBAQHlW6lyIqm7pah0xbUGWFrLB0nHtm3btC7funVr+VakgivttlxLuG131KhRBsWlIjk5udgpVJKSkizmspS/vz9CQ0O1xkJDQy1momJ9MLmxQFWrVtV4XpGmoCDTGDx4sMbz4cOHm6ciFZiPj49BcSlYu3atQXGp8Pf3L7YlvEWLFhaVFBR3eVruU2IwubFAX375pcbzzZs3m6kmJBcFdygW0HU4BjKeLVu2GBSXgpCQEIPiUqFQKErsU2MJ/W0A4Pr167h48aLW2MWLF3H9+vXyrVA5YnJj4dhfhYyNx5R5yOFW8M6dOxsUl4qcnBz89ttvWmO//fabxqj3UlYwv5e+cUvG5IaISAJ27NhhUFwKSpvk01ImAS3prlRd4lIhl/3QB5MbIiKiQh4/fmxQXCpKG8ldziO9M7khIpKA0sYTKi1OxlPS2E+6xKXCxcXFoLglY3JDRCQBGRkZBsXJeHbu3GlQnMyPyQ0REVEhzw+3Uda4VJR2u7ecbwdnckNERCRDDx8+NChuyZjcEBERFeLh4WFQXCpKmz5FztOrMLkhIiIqpLT5oyxlfiltc8aVJW7JmNwQEREVcufOHYPiUlHaYIOWMhihPjgrOFEhQgijdbJ78uRJiXF7e3uLGcadqCL59ddfDYqT+TG5ISokOzsbUVFRRllXaevZtWsXHBwcjLItIjIeZ2dn3L9/v8Q4SRsvSxERERVSUmKjS5zMjy03RIXY29vrNHHkuXPnMG7cuGLjS5YsKXUGZDkPfU5kyezt7Uu8PM1zV/qY3BAVolAodLpU1KRJE4PiRCRdcrlbqiLjZSkiPR04cKBMy4nIMlTku4zkgskNkQG8vb01nvv6+pqpJkREVIDJDZEBEhISNJ5v3LjRPBUhIiI19rkhMhJdOiITWaLyHP8J4BhQZDgmN0REVKLyHP8J4BhQZDheliIiIiJZYcsNERGVSNfxn+7evYsBAwYUG1+/fj0qV66s0/aIDMHkhojIhOQwX5mu4z/5+fnBzs4Oubm5RWJ2dnbw8/Mzet2ItGFyQ0RkQhVtvrI9e/agdevWWpcTlRf2uSEiIqPq1q2bxvPevXubqSZUUbHlhojIhHTtr/Lw4UO8/PLLxca/+eYbuLi4lLotKRgzZgy2b9+ufv7WW2+ZsTZUETG5ISIyIV37qzg4OMDLyws3b94sEvPx8UHVqlVNUT2T4/hPZA68LEVEJBFff/211uWbNm0q55oQWTa23BARScjIkSOxfPly9fPY2Fgz1oakSA534JkakxsiIgnp1auXRnLzn//8x4y1ISmqaHfg6YOXpYiIJIr9VYj0w5YbIiIiC6LrHXhxcXFITEwsNt6mTRtMnjy51G1ZIiY3REREFkTXO/BmzZqldUDFwnG54mUpIiIimTpw4ECZlssFkxsiIiKSFSY3REREMvZ8/xy5t9oATG6IiIgqjIpyBx6TGyIiIpIVJjdEREQkK7wVnIiIKgROW1BxmDW5mTFjBmbOnKmxLDg4GOfPny/2NZs3b8Z///tfXL9+HbVr18b777+PLl26mLqqRERk4ThtQcVh9stS9evXR1pamvpx8ODBYssePnwY0dHRGDp0KE6dOoVevXqhV69eOHPmTDnWmIiIiKTM7JelbGxs4OXlpVPZpUuXolOnTpg4cSIAYPbs2di9ezeWLVuGzz77zJTVJCIiC6frtAXLli3DDz/8UGy8e/fuGD16dKnbIvMxe8vNpUuX4OPjg5o1a2LAgAFISUkptuyRI0fQoUMHjWVRUVE4cuRIsa/JyclBZmamxoOIiCqegmkLSnsU/IAuzsSJE0tdB/vbmJdZk5uWLVsiISEBO3fuxPLly3Ht2jW89NJLePjwodbyN2/eRLVq1TSWVatWDTdv3ix2G3FxcXBzc1M//Pz8jLoPREQkPxV12gK5MGty07lzZ/Tp0wehoaGIiorCTz/9hPT0dHz99ddG28bkyZORkZGhfqSmphpt3URERCQ9Zr8sVZi7uzvq1KmDy5cva417eXnh1q1bGstu3bpVYp8dpVIJV1dXjQcREVFpKuK0BXIhqeQmKysLV65cgbe3t9Z4eHg49u7dq7Fs9+7dCA8PL4/qERFRBVVRpi2QC7MmNxMmTMD+/ftx/fp1HD58GL1794a1tTWio6MBADExMZg8ebK6fGxsLHbu3ImFCxfi/PnzmDFjBk6cOFFqr3UiIiKqOMx6K/iNGzcQHR2Ne/fuoUqVKnjxxRdx9OhRVKlSBQCQkpICK6t/8q+IiAhs2LABU6dOxZQpU1C7dm1s3boVDRo0MNcuEBERkcSYNbnZtGlTifHExMQiy/r06YM+ffqYqEZERERk6STV54aIiIjIUExuiIiISFaY3BAREZGsMLkhIiIiWWFyQ0RERLLC5IaIiIhkhckNERERyQqTGyIiIpIVJjdEREQkK0xuiIiISFaY3BAREZGsMLkhIiIiWWFyQ0RERLLC5IaIiIhkxcbcFSBpEkIgOzvbZOsvvG5TbqeAvb09FAqFybdDRETmx+SGtMrOzkZUVFS5bKtnz54m38auXbvg4OBg8u0QEZH5MbkxATm0epRHawrpxtTHE1C+LWlsRSMiU2NyYwJya/X4pHU6lNbCqOsUAsjNf/Z/OyvAFN91OSoFRh1wN/6Ky1l5Hk+A6Y8ptqIRkakxuaFSKa0F7K2Nv17Tf70ZNyEjIiLLwOTGxB41GQBYGfnPLASQ//TZ/61sjN/skf8UTifXG3edZBSTANiZYL0CQN7//98WgLEb0nIBvG/kdRIRFYfJjalZ2QDWtiZYsSm+4kjq7ADYGT31eEZpkrUWYCsaEZUfjnNDREREssLkhoiIiGSFyQ0RERHJCpMbIiIikhUmN0RERCQrTG6IiIhIVpjcEBERkaxwnBuqEMpjDi7O80VEJA1MbqhCKI85uMpjG0REVDomN0REFYypZ5ovz1nmAc40T0UxuaEKQ9VdZfwjXgBQ/f//rWH8SZmeAtY/mGDWUqrQynOm+fJo0eRM8/Q8JjdUcdjANEe8KaYOI8mSQ6sH+3GR3DG5ISIqA7m1enzSOh1Ka+NObCoEkJv/7P92VoAprhjlqBQYdcDd+CsmWWByQ0RUgSmtBexNcOXT9BeJONM8FY/JDRGRnh41GQBYGfljVAgg/+mz/1vZGL/ZI/8pnE6uN+46iSSGyQ0Rkb6sbABrU3S6sjPBOkmKTN2HCyjfu9ekcucakxsiIiIzKc8+XIDp+3FJ5c41Tr9AREREssKWGypVjqr0MlJkqfUmooppEkxzQVIAyPv//9vC+MNx5QJ438jrNBSTGyrVqAMe5q4CEZHs2QGwM3rq8YzSJGstIL0715jcmJoqr/QyUmOJdSYiIvp/TG5MzOnUBnNXwWCftH4ApQXOAJCjkl+rUy4AKf5KKk2uuStARBUKkxsqldIaJhnki8pOate1iYikSDLJzfz58zF58mTExsZiyZIlWsskJCTgtdde01imVColPU/Ko8avmGgcDBNS5cmixYmIiComSSQ3x48fx4oVKxAaGlpqWVdXV1y4cEH9XAqDBZXI2tbykhuSLFPdTWFqUrybguSjPCYY5SSmlsXsyU1WVhYGDBiAzz//HHPmzCm1vEKhgJeXVznUjEh6THk3hWlZXj8hshzlMcFoeWyDjMfsg/iNGjUKXbt2RYcOHXQqn5WVBX9/f/j5+aFnz544e/ZsieVzcnKQmZmp8SAiIiL5MmvLzaZNm3Dy5EkcP35cp/LBwcFYs2YNQkNDkZGRgQULFiAiIgJnz55F9erVtb4mLi4OM2fONGa1iYhIYlTdVcb/RhMACgYDtYbxR797Clj/wLs1TMFsyU1qaipiY2Oxe/du2Nvb6/Sa8PBwhIeHq59HREQgJCQEK1aswOzZs7W+ZvLkyXj77bfVzzMzM+Hn52dY5YmISFpsYJpvNHaZtEhmS25+//133L59G02aNFEvU6lUOHDgAJYtW4acnBxYW5ec0dra2qJx48a4fPlysWWUSiWUStOOzUhERETSYbbkpn379khKStJY9tprr6Fu3bqYNGlSqYkN8CwZSkpKQpcuXUxVTSIiIrIwZktuXFxc0KBBA41lTk5OqFSpknp5TEwMfH19ERcXBwCYNWsWwsLCEBQUhPT0dHz44YdITk7GsGHDyr3+RERyYKkTzFpqval8mP1W8JKkpKTAyuqfG7oePHiA4cOH4+bNm/Dw8EDTpk1x+PBh1KtXz4y1JIvx1NwV0IMl1pksitymKCEC9ExuAgICMGTIEAwePBg1atQwWmUSExNLfL548WIsXrzYaNujioV3JZDRWeIks5ZYZ6Iy0iu5GTduHBISEjBr1iy0bdsWQ4cORe/evdlxl4gqFDlMU8KJcUmO9E5uxo0bh5MnTyIhIQFjxozBm2++iVdeeQVDhgzRuAOKSCpMMg6GqXEcDDIxToxLcmTQR32TJk3QpEkTLFy4EJ9++ikmTZqE5cuXo2HDhhg7dixee+016c/9RBWHqcbBoAqLE+MSSZNBH/V5eXnYsmUL4uPjsXv3boSFhWHo0KG4ceMGpkyZgj179mDDBp5ERCRTnBiXjCgXgCXOw5Zr7gpooVdyc/LkScTHx2Pjxo2wsrJCTEwMFi9ejLp166rL9O7dG82bNzdaRYmIiOTsfXNXQEb0Sm6aN2+Ojh07Yvny5ejVqxdsbYv+cgkMDET//v0NriARERFRWZQ5uVGpVFizZg169OgBD4/ie6o7OTkhPj7eoMoRERFVFJMA2Jm7EnrIhfRancqc3FhbW+ONN95A69atS0xuiIiISHd2AOyMPvV4eZBePyGr0osU1aBBA1y9etXYdSEiIiIymF59bubMmYMJEyZg9uzZaNq0KZycnDTirq6uRqkcERGRTixxqhJLrLOF0Cu5KZiFu0ePHhrj2AghoFAooFJxRjM5yVEpYOxmRyGA3Pxn/7ezAkwxHNKzehNRRcDBLqkwvZKbffv2Gbse8pVvgtRciH/Wa2Vj/MzguTqPOuBu3PUTERGZkF7JTWRkpLHrIVtOJ9ebuwokI6Ya5EsAKJhO0RYwepdGKQ7yRfLC6VWoMIMOhcePHyMlJQW5uZofXaGhoQZViqRj27ZtsLe3N/p6s7Oz0bNnT5Nu4/ntyIHUbrckkgxOr0KF6HUo3LlzB6+99hp27NihNV7R+9zY29tj165dJlt/eSUGwLN9MfX8YPb29nBwcDDpNoiIqOLQe1bw9PR0HDt2DG3atMGWLVtw69YtzJkzBwsXLjR2HS2OQqEoty9rJgYVR3m1cJVHwkxEZEp6JTe//PILtm3bhmbNmsHKygr+/v7o2LEjXF1dERcXh65duxq7nkQVXnklskyYicjS6TWI36NHj1C1alUAgIeHB+7cuQMAaNiwIU6ePGm82hERERGVkV4tN8HBwbhw4QICAgLQqFEjrFixAgEBAfjss8/g7e1t7DoSEUmTDIZ64DhWJEd6JTexsbFIS0sDAEyfPh2dOnXC+vXrYWdnh4SEBGPWj4hIsuQw1APHsSI50iu5GThwoPr/TZs2RXJyMs6fP48aNWqgcuXKRqsckVGZYqhzAaDg5kBrGH+AGA7PTkRUZkYZFcDR0RFNmjQxxqqITIaDZZExyGGoByEEcnJyoFQqTTLUA8ex0g8H6TQenZObt99+W+eVLlq0SK/KEBFJnVyGenB0dDTJep/Hu+90x0E6jUfn5ObUqVM6lTP1gG9EZSGHX9kFOD4MEZFudE5uOFkmWSK5/MomInnjIJ3GxZk4iIiIzIyDdBqX3snNiRMn8PXXX2udOPO7774zuGJERERE+tBrhOJNmzYhIiIC586dw5YtW5CXl4ezZ8/il19+gZubm7HrSEREVLKnJnjkAcj+/0eeibZBJqFXy828efOwePFijBo1Ci4uLli6dCkCAwPxxhtvcIRiIiIqdxzqgQrTq+XmypUr6skx7ezs8OjRIygUCrz11ltYuXKlUStIREREVBZ6tdx4eHjg4cOHAABfX1+cOXMGDRs2RHp6Oh4/fmzUChIREWnDoR6oOHolN61bt8bu3bvRsGFD9OnTB7Gxsfjll1+we/dutG/f3th1JCIiKoJDPVBx9Epuli1bhuzsbADAe++9B1tbWxw+fBj/+c9/MHXqVKNWkIiIiKgs9EpuPD091f+3srLCu+++a7QKERERERlCrw7FJ0+eRFJSkvr5tm3b0KtXL0yZMqXImDdERERE5Umv5OaNN97AxYsXAQBXr15Fv3794OjoiM2bN+Odd94xagWJiIiIykKv5ObixYt44YUXAACbN29GZGQkNmzYgISEBHz77bfGrB8RERFRmeiV3AghkJ+fDwDYs2cPunTpAgDw8/PD3bt3jVc7IiIiojLSK7lp1qwZ5syZgy+//BL79+9XD+h37do1VKtWzagVJCIiIioLvZKbJUuW4OTJkxg9ejTee+89BAUFAQC++eYbREREGLWCRERERGWh163goaGhGndLFfjwww9hbf3P/B4bN25Ejx494OTkpH8NiYiIiMpAr5ab4tjb28PW1lb9/I033sCtW7eMuQkiIiKiEhk1uXmeEMKUqyciIiIqwqTJTVnMnz8fCoUC48aNK7Hc5s2bUbduXdjb26Nhw4b46aefyqeCREREZBEkkdwcP34cK1asQGhoaInlDh8+jOjoaAwdOhSnTp1Cr1690KtXL5w5c6acakpERERSZ/bkJisrCwMGDMDnn38ODw+PEssuXboUnTp1wsSJExESEoLZs2ejSZMmWLZsWTnVloiIiKTO7MnNqFGj0LVrV3To0KHUskeOHClSLioqCkeOHCn2NTk5OcjMzNR4EBERkXzpdSu4rvz9/TXunnrepk2bcPLkSRw/flyn9d28ebPIIIHVqlXDzZs3i31NXFwcZs6cqVuFiYiIyOKZtOXmzJkz8PPz0xpLTU1FbGws1q9fD3t7e5PVYfLkycjIyFA/UlNTTbYtIiIiMj+9Wm48PDygUCiKLFcoFLC3t0dQUBAGDx6M1157rdh1/P7777h9+zaaNGmiXqZSqXDgwAEsW7YMOTk5GgMCAoCXl1eRcXNu3boFLy+vYrejVCqhVCp13TUiIiKycHq13EybNg1WVlbo2rUrZs6ciZkzZ6Jr166wsrLCqFGjUKdOHYwcORKff/55seto3749kpKScPr0afWjWbNmGDBgAE6fPl0ksQGA8PBw7N27V2PZ7t27ER4ers9uEBERkQzp1XJz8OBBzJkzByNGjNBYvmLFCvz888/49ttvERoaio8++gjDhw/Xug4XFxc0aNBAY5mTkxMqVaqkXh4TEwNfX1/ExcUBAGJjYxEZGYmFCxeia9eu2LRpE06cOIGVK1fqsxtEREQkQ3q13OzatUvr3U3t27fHrl27AABdunTB1atXDapcSkoK0tLS1M8jIiKwYcMGrFy5Eo0aNcI333yDrVu3FkmSiIiIqOLSq+XG09MTP/zwA9566y2N5T/88AM8PT0BAI8ePYKLi0uZ1puYmFjicwDo06cP+vTpU6b1EhERUcWhV3Lz3//+FyNHjsS+ffvQokULAM9GGf7pp5/w2WefAXjWFyYyMtJ4NSUiIiLSgV7JzfDhw1GvXj0sW7YM3333HQAgODgY+/fvR0REBABg/PjxxqslERERkY70HsSvVatWaNWqlTHrQkRERGQwvZMblUqFrVu34ty5cwCA+vXro0ePHlpv4SYiIiIqL3olN5cvX0aXLl3wv//9D8HBwQCeTXPg5+eHH3/8EbVq1TJqJYmIiIh0pdet4GPHjkWtWrWQmpqKkydP4uTJk0hJSUFgYCDGjh1r7DoSERER6Uyvlpv9+/fj6NGj6tu+AaBSpUqYP38+++EQERGRWenVcqNUKvHw4cMiy7OysmBnZ2dwpYiIiIj0pVdy061bN7z++us4duwYhBAQQuDo0aMYMWIEevToYew6EhEREelMr+Tmo48+Qq1atRAeHg57e3vY29sjIiICQUFBWLJkiZGrSERERKQ7vfrcuLu7Y9u2bbh8+bL6VvCQkBAEBQUZtXJEREREZaVzcvP222+XGN+3b5/6/4sWLdK/RkREREQG0Dm5OXXqlE7lFAqF3pUhIiIiMpTOyU3hlhkiIiIiqdKrQzERERGRVDG5ISIiIllhckNERESywuSGiIiIZIXJDREREckKkxsiIiKSFSY3REREJCtMboiIiEhWmNwQERGRrDC5ISKSqKioKHNXgWSmohxTTG6IiCRk2LBhGs9fffVVM9XEOCrKl6mUPf8etG7d2kw1KT9MboiIJCQ1NVXjeXJysplqor+K+GVK0qLzxJlERFR2QghkZ2frVLa4Vo7WrVtj165dpb7e3t4eCoWiTPUjy8NjqnRMboiITCg7O9sol2Z0WceuXbvg4OBg8LaeV55fpoA0v1CjoqJw4MABc1cDgDyOKVNjckNERCUqzy9TQDpfqGPHjtV4/sYbb2DFihVmqg2VBZMbCyelXxP6ksM+EBXH3t5epxYLXX9Fl7YtMp4LFy5oPD937pyZaqKJx1TpmNxYIG2d9SwtOZDDPhDpQqFQGK0VwlytGeX5ZVqwPVOQS18VORxTpsbkhog0sCWNnieXL1P2Vak4mNxIgBx+TbDDoWVjSxoRyQmTGwmQw6+JitrhsDC2eBBJG/uqVBxMbogMINUWDzm0BhIZm1wur1HpmNxIgBx+Tcilw6FcyKE1kIhIX0xuJEAOvybksA8AWzyIiOSAyQ1RIXJp8ZBDayARkb6Y3BDJkFxa0oiI9MHkhqgQtngQEVk+JjdEhbDFg4jI8lmZuwJERERExsTkhoiIiGSFyQ0RERHJilmTm+XLlyM0NBSurq5wdXVFeHg4duzYUWz5hIQEKBQKjQc7ZRIREVFhZu1QXL16dcyfPx+1a9eGEAJr165Fz549cerUKdSvX1/ra1xdXXHhwgX1cw6CRkRERIWZNbnp3r27xvO5c+di+fLlOHr0aLHJjUKhgJeXV3lUj4iIiCyQZPrcqFQqbNq0CY8ePUJ4eHix5bKysuDv7w8/Pz/07NkTZ8+eLXG9OTk5yMzM1HgQERGRfJk9uUlKSoKzszOUSiVGjBiBLVu2oF69elrLBgcHY82aNdi2bRvWrVuH/Px8RERE4MaNG8WuPy4uDm5ubuqHn5+fqXaFiIiIJMDsyU1wcDBOnz6NY8eOYeTIkRg0aBD++usvrWXDw8MRExODF154AZGRkfjuu+9QpUoVrFixotj1T548GRkZGepHamqqqXaFiIiIJMDsIxTb2dkhKCgIANC0aVMcP34cS5cuLTFhKWBra4vGjRvj8uXLxZZRKpVQKpVGqy8RERFJm9lbbp6Xn5+PnJwcncqqVCokJSXB29vbxLUiIiIiS2HWlpvJkyejc+fOqFGjBh4+fIgNGzYgMTFRPeFgTEwMfH19ERcXBwCYNWsWwsLCEBQUhPT0dHz44YdITk7GsGHDzLkbREREJCFmTW5u376NmJgYpKWlwc3NDaGhodi1axc6duwIAEhJSYGV1T+NSw8ePMDw4cNx8+ZNeHh4oGnTpjh8+HCxHZCJiIio4jFrcrN69eoS44mJiRrPFy9ejMWLF5uwRkRERGTpJNfnhoiIiMgQTG6IiIhIVpjcEBERkawwuSEiIiJZYXJDREREssLkhoiIiGSFyQ0RERHJCpMbIiIikhUmN0RERCQrTG6IiIhIVpjcEBERkawwuSEiIiJZYXJDREREssLkhoiIiGSFyQ0RERHJCpMbIiIikhUmN0RERCQrTG6IiIhIVpjcEBERkawwuSEiIiJZYXJDREREssLkhoiIiGSFyQ0RkQTUrl3boDgZj7+/v0FxqQgKCjIobsmY3BARScClS5cMipPxJCcnGxSXisuXLxsUt2RMboiIiEhWmNwQERGRrDC5ISKSAAcHB4PiZDzVq1c3KE7mx+SGiEgCnjx5YlCcjOfGjRsGxcn8mNwQEUmAUqk0KE5E/2ByQ0QkATk5OQbFpcDKquSvlNLiRMbCI42IiIwiPz/foDiRsTC5ISIiIllhckNERESywuSGiIiIZIXJDREREckKkxsiIiKSFSY3FqRatWoGxYlIut5++22D4lLw5ptvGhSXiujoaIPiUiGX/dAHkxsLcvfuXYPiRCRdixYtMiguBZ9++qlBcanYuHGjQXGpkMt+6IPJjQXx8fExKC4FVapUMSguFa6urgbFiZ7HAfCkQy7vha2trUFxS2YZ7xABACpXrmxQXAqCgoIMikuFi4uLQXGpsLGxMShOxjNy5EiD4mQ8gYGBBsWlQi77oQ8mNxbEzs7OoLgUPH361KC4VHh4eBgUlwqVSmVQnIznk08+MShOxnPlyhWD4lJx8eJFg+KWjMmNBUlOTjYoLgXXrl0zKC4VcmnxEEIYFCcikiImNxbE2traoLgUBAQEGBSXisePHxsUlwq5tEARERXG5MaCyOESwtmzZw2KS4VcmnsfPnxoUJyISIrMmtwsX74coaGhcHV1haurK8LDw7Fjx44SX7N582bUrVsX9vb2aNiwIX766adyqq35hYaGGhSXgldeecWguFSEhIQYFJeKSpUqGRQnIpIisyY31atXx/z58/H777/jxIkTaNeuHXr27Fnsr/fDhw8jOjoaQ4cOxalTp9CrVy/06tULZ86cKeeam4e7u7tBcSk4deqUQXGpkMstlnI4poiInmfW5KZ79+7o0qULateujTp16mDu3LlwdnbG0aNHtZZfunQpOnXqhIkTJyIkJASzZ89GkyZNsGzZsnKuuXmkpaUZFJeCvLw8g+JSIZdbwb28vAyKE8mRXH68+Pn5GRS3ZJLpc6NSqbBp0yY8evQI4eHhWsscOXIEHTp00FgWFRWFI0eOFLvenJwcZGZmajwslRw6scohQQPk01dl//79BsXJeOzt7Q2KS4FcBr9TKBQGxaWiTp06BsUtmdmPtKSkJDg7O0OpVGLEiBHYsmUL6tWrp7XszZs3i8yfVK1aNdy8ebPY9cfFxcHNzU39sORM9cKFCwbFpUAuU0jI5cOPpEMOg3Tm5+cbFJcKpVJpUFwqTp48aVDckpk9uQkODsbp06dx7NgxjBw5EoMGDcJff/1ltPVPnjwZGRkZ6kdqaqrR1l3e5HAruFzIYcwhkpb79+8bFCfjkcuPF7l0A9CH2Ucas7OzUw+537RpUxw/fhxLly7FihUripT18vLCrVu3NJbdunWrxH4BSqXSYrLs0mRkZBgUJ+NJT083KE70PDlcdpaL0rovWEr3hqysLIPilszsLTfPy8/PR05OjtZYeHg49u7dq7Fs9+7dxfbRISIioorHrC03kydPRufOnVGjRg08fPgQGzZsQGJiInbt2gUAiImJga+vL+Li4gAAsbGxiIyMxMKFC9G1a1ds2rQJJ06cwMqVK825G0RERCQhZk1ubt++jZiYGKSlpcHNzQ2hoaHYtWsXOnbsCABISUnR6F0fERGBDRs2YOrUqZgyZQpq166NrVu3okGDBubaBSIiIpIYsyY3q1evLjGemJhYZFmfPn3Qp08fE9WIiIiILJ3k+twQERERGYLJDREREckKkxsiIiKSFSY3REQSIIf5yuQysq+vr69BcakouDlH37glY3JjQeQw9wwRaSeHxKB69eoGxaXiyZMnBsWlIiIiwqC4JWNyY0Fyc3MNipPxyGWCQJIOOcy7duXKFYPiUiGX0eB/+eUXg+KWjJ/AFsTd3d2gOBmPXCYIJKKi5DK3lFymkdAHkxsLIodZg+XCxqbkIaJKixORdD19+tSguFT88ccfBsUtGZMbC/Lw4UOD4lIgl19EvCxFJF9y+ZwKCAgwKG7J+AlsQeQwa7Cjo6NBcSIiU/P39zcoLhVy6RitDyY3FkQOyc2jR48MikuFnZ2dQXEikq5atWoZFJeKrl27GhS3ZExuLEheXp5BcTKerKwsg+JEJF2nT582KC4VX331lUFxS8bkhoiIqJB79+4ZFJcKubSU64PJjQWRw91SculzI4fRZAHA1tbWoDgRkRQxubEgchjkSw79hgDA2traoLhU8FInEckRkxsL4uTkZFCcjCc9Pd2gOBERmQ6TGwvi4eFhUJyMh4P4EcmXXMa5qcjjccl3z2Toxo0bBsXJeOQygikRFRUYGGhQXCoq8pAVTG6IiIgKuXPnjkFxqZBL30B9MLkhIiIqRA5T3QC8FZwsBDsUS0dFvpZNRCR1/AS2IBU5C5ea/Px8g+JERKZWkcexYnJDRERUSKNGjQyKS0XDhg0NilsyJjdERESFJCUlGRSXipycHIPilozJDRERUSFyuex89uxZg+KWjMmNBanIt/VJjVzmyCIikiMmNxbEz8/PoDgZj5ubm0FxIiIyHSY3FiQjI8OgOBkPp18gIqmrVKmSQXFLxuTGgvj6+hoUlwK5zNmSnZ1tUJyIyNTu3btnUNySMbmxIHIYElwuc53IZVZw9uMiIjlicmNBbt26ZVBcCuRya2JeXp5BcalQqVQGxYmIpIjJDREREckKkxsL0qxZM4PiZDxVq1Y1KE70vJdfftmguBT4+PgYFJeKadOmGRSXirlz5xoUt2RMbizI66+/blBcCiZOnGhQXCrGjx9vUFwqxowZY1CcjKdPnz4GxaXg3XffNSguFU2aNDEoLhW1atUyKG7JFEIIYe5KlKfMzEy4ubkhIyMDrq6u5q5OmbRu3brUMgcOHCiHmuhPDvsAcD/I+OTwXshhHwCgffv2Jfabs7W1xd69e8uxRvqRy/tRoCzf32y5sSArV640KC4Fcmm5ef/99w2KSwVbbqTjq6++MiguBR999JFBcanYvHmzQXGp2LRpk0FxS8bkxoLUrVvXoLgUdO/e3aC4VISHhxsUlwo5XAqRC29v72LHeVIoFPD29i7nGpXdCy+8YFBcKjw9PYudQsXR0RGenp7lXCP9yKUPlD6Y3FiY4poQLalpUQ77AHA/yPj2799fpuVSJJfjaefOnWVaLlVyeT/KismNBXp+DinOKWU+z/+644SZZKg2bdqU+NwSPD+sv6UO8x8dHV3ic0vx0ksvlfhcjtih2EIV7ihmqRm4HPYB4H6Q8cnhvZDDPgDcDykpy/c3kxsiIiKSPN4tRURERBUWkxsiIiKSFSY3REREJCtmTW7i4uLQvHlzuLi4oGrVqujVqxcuXLhQ4msSEhKgUCg0Hvb29uVUYyIiIpI6syY3+/fvx6hRo3D06FHs3r0beXl5+Ne//oVHjx6V+DpXV1ekpaWpH8nJyeVUYyIiIpI6G3Nu/PnBkBISElC1alX8/vvvJc6JoVAo4OXlZerqERERkQWSVJ+bjIwMACh1aOusrCz4+/vDz88PPXv2xNmzZ4stm5OTg8zMTI0HERERyZdkkpv8/HyMGzcOrVq1QoMGDYotFxwcjDVr1mDbtm1Yt24d8vPzERERgRs3bmgtHxcXBzc3N/WDo/kSERHJm2QG8Rs5ciR27NiBgwcPonr16jq/Li8vDyEhIYiOjsbs2bOLxHNycpCTk6N+npmZCT8/Pw7iR0REZEHKMoifWfvcFBg9ejS2b9+OAwcOlCmxAQBbW1s0btwYly9f1hpXKpVQKpXq5wW5HC9PERERWY6C721d2mTMmtwIITBmzBhs2bIFiYmJCAwMLPM6VCoVkpKS0KVLF53KP3z4EAAnmyQiIrJEDx8+hJubW4llzJrcjBo1Chs2bMC2bdvg4uKCmzdvAgDc3Nzg4OAAAIiJiYGvry/i4uIAALNmzUJYWBiCgoKQnp6ODz/8EMnJyRg2bJhO2/Tx8UFqaipcXFygUChMs2MkGQWXIVNTU3kZkkhmeH5XLEIIPHz4ED4+PqWWNWtys3z5cgBAmzZtNJbHx8dj8ODBAICUlBRYWf3T7/nBgwcYPnw4bt68CQ8PDzRt2hSHDx9GvXr1dNqmlZVVmS99keVzdXXlhx+RTPH8rjhKa7EpIJkOxUSmwFngieSL5zcVRzK3ghMREREZA5MbkjWlUonp06dr3DFHRPLA85uKw8tSREREJCtsuSEiIiJZYXJDREREssLkhoiIiGSFyQ1ROZkxYwZeeOEFc1eDKrDBgwejV69e5q4GGVFCQgLc3d3NXQ3JYXJDRdy8eROxsbEICgqCvb09qlWrhlatWmH58uV4/Pixybdv6pP1+vXrUCgUOH36tMm2QVSSwYMHQ6FQYP78+RrLt27dapSR0y3lGA8ICMCSJUuKjScmJkKhUJT4SExMLLf6SlG/fv1w8eJFc1dDciQxcSZJx9WrV9GqVSu4u7tj3rx5aNiwIZRKJZKSkrBy5Ur4+vqiR48eWl+bl5cHW1vbcq5x8VQqFRQKhcYI10RSYW9vj/fffx9vvPEGPDw8jLbe3Nxco63L3CIiIpCWlqZ+Hhsbi8zMTMTHx6uXeXp6qv+fm5sLOzu7cq2juTk4OKinK6J/8FOfNLz55puwsbHBiRMn0LdvX4SEhKBmzZro2bMnfvzxR3Tv3l1dVqFQYPny5ejRowecnJwwd+5cAMC2bdvQpEkT2Nvbo2bNmpg5cyaePn2qft2iRYvQsGFDODk5wc/PD2+++SaysrIAPPul9tprryEjI0P9y2zGjBkAgJycHEyYMAG+vr5wcnJCy5YtNX61FbT4fP/996hXrx6USiVSUlLK/DfIycnB2LFjUbVqVdjb2+PFF1/E8ePH1fGCX5N79+5Fs2bN4OjoiIiICFy4cEFjPfPnz0e1atXg4uKCoUOHIjs7WyOen5+PWbNmoXr16lAqlXjhhRewc+dOdbzg1/d3332Htm3bwtHREY0aNcKRI0fKvE8kPR06dICXl5d63rzifPvtt6hfvz6USiUCAgKwcOFCjXhAQABmz56NmJgYuLq64vXXX1dPQty4cWMoFIoiU9wsWLAA3t7eqFSpEkaNGoW8vDwAwLJly9CgQQN1uYKWpM8++0yj3lOnTlU/L+l8F0JgxowZqFGjBpRKJXx8fDB27FgAz6bdSU5OxltvvaU+159nZ2cHLy8v9cPBwQFKpVL9/LPPPkOLFi2watUqBAYGwt7eHgCwc+dOvPjii3B3d0elSpXQrVs3XLlyRb1eXc6t5ORkdO/eHR4eHnByckL9+vXx008/AfjnM+DHH39EaGgo7O3tERYWhjNnzmjU/+DBg3jppZfg4OAAPz8/jB07Fo8ePdJ47+bNm4chQ4bAxcUFNWrUwMqVK8tUz+dbugsuf3/55ZcICAiAm5sb+vfvr540Gnj22RMXF4fAwEA4ODigUaNG+Oabb4r8/S2aIPp/d+/eFQqFQsTFxelUHoCoWrWqWLNmjbhy5YpITk4WBw4cEK6uriIhIUFcuXJF/PzzzyIgIEDMmDFD/brFixeLX375RVy7dk3s3btXBAcHi5EjRwohhMjJyRFLliwRrq6uIi0tTaSlpYmHDx8KIYQYNmyYiIiIEAcOHBCXL18WH374oVAqleLixYtCCCHi4+OFra2tiIiIEIcOHRLnz58Xjx49KlLva9euCQDi1KlTWvdr7NixwsfHR/z000/i7NmzYtCgQcLDw0Pcu3dPCCHEvn37BADRsmVLkZiYKM6ePSteeuklERERoV7HV199JZRKpVi1apU4f/68eO+994SLi4to1KiRusyiRYuEq6ur2Lhxozh//rx45513hK2trXp/CupZt25dsX37dnHhwgXx8ssvC39/f5GXl6fTe0TSNGjQINGzZ0/x3XffCXt7e5GamiqEEGLLli2i8MfyiRMnhJWVlZg1a5a4cOGCiI+PFw4ODiI+Pl5dxt/fX7i6uooFCxaIy5cvi8uXL4vffvtNABB79uwRaWlp6mN30KBBwtXVVYwYMUKcO3dO/PDDD8LR0VGsXLlSCCHEn3/+KRQKhbh9+7YQQohx48aJypUri379+gkhhMjNzRWOjo5i9+7dQghR6vm+efNm4erqKn766SeRnJwsjh07pt7WvXv3RPXq1cWsWbPU57quf7cC06dPF05OTqJTp07i5MmT4o8//hBCCPHNN9+Ib7/9Vly6dEmcOnVKdO/eXTRs2FCoVCohhG7nVteuXUXHjh3Fn3/+Ka5cuSJ++OEHsX//fiHEP58BISEh4ueffxZ//vmn6NatmwgICBC5ublCCCEuX74snJycxOLFi8XFixfFoUOHROPGjcXgwYM13jtPT0/xySefiEuXLom4uDhhZWUlzp8/r3M94+PjhZubm8bfxNnZWfz73/8WSUlJ4sCBA8LLy0tMmTJFXWbOnDmibt26YufOneLKlSsiPj5eKJVKkZiYWOp7YCmY3JDa0aNHBQDx3XffaSyvVKmScHJyEk5OTuKdd95RLwcgxo0bp1G2ffv2Yt68eRrLvvzyS+Ht7V3sdjdv3iwqVaqkfv78ySqEEMnJycLa2lr873//K7K9yZMnq18HQJw+fbrE/SwpucnKyhK2trZi/fr16mW5ubnCx8dHfPDBB0KIfz7Y9uzZoy7z448/CgDiyZMnQgghwsPDxZtvvqmx7pYtW2okNz4+PmLu3LkaZZo3b65+XUE9V61apY6fPXtWABDnzp0rcR9J2gp/SYeFhYkhQ4YIIYomN6+88oro2LGjxmsnTpwo6tWrp37u7+8vevXqpVGmuGN80KBBwt/fXzx9+lS9rE+fPurkJT8/X1SqVEls3rxZCCHECy+8IOLi4oSXl5cQQoiDBw8KW1tb9Y+G0s73hQsXijp16qi/8J/n7+8vFi9erP2PpIW25MbW1ladjBXnzp07AoBISkoSQuh2bjVs2FDjR1lhBZ8BmzZtUi+7d++ecHBwEF999ZUQQoihQ4eK119/XeN1v/76q7CyslJ/Tvj7+4uBAweq4/n5+aJq1api+fLlOtdTW3Lj6OgoMjMz1csmTpwoWrZsKYQQIjs7Wzg6OorDhw9r1G3o0KEiOjq62L+hpeFlKSrVb7/9htOnT6N+/frIycnRiDVr1kzj+R9//IFZs2bB2dlZ/Rg+fDjS0tLUnZH37NmD9u3bw9fXFy4uLnj11Vdx7969EjsrJyUlQaVSoU6dOhrr3r9/v0Zzs52dHUJDQ/Xe1ytXriAvLw+tWrVSL7O1tUWLFi1w7tw5jbKFt+Pt7Q0AuH37NgDg3LlzaNmypUb58PBw9f8zMzPx999/a2wHAFq1alWm7ZDle//997F27doi7zvw7DjSdoxcunQJKpVKvez587Ak9evXh7W1tfq5t7e3+nhSKBRo3bo1EhMTkZ6ejr/++gtvvvkmcnJycP78eezfvx/NmzeHo6MjgNLP9z59+uDJkyeoWbMmhg8fji1btmhcojYGf39/VKlSRWPZpUuXEB0djZo1a8LV1RUBAQEAUOQydUnn1tixYzFnzhy0atUK06dPx59//llk24XPaU9PTwQHB6vfxz/++AMJCQkaf5uoqCjk5+fj2rVrWuugUCjg5eVV5Pwu62dAQEAAXFxcNF5TUP7y5ct4/PgxOnbsqFG3L774QuOz1NKxQzGpBQUFQaFQFOk7UrNmTQDQ2mnNyclJ43lWVhZmzpyJf//730XK2tvb4/r16+jWrRtGjhyJuXPnwtPTEwcPHsTQoUORm5ur/tB8XlZWFqytrfH7779rfDADgLOzs/r/Dg4ORrnbRBeFO08XbDM/P99it0Pm0bp1a0RFRWHy5MkYPHiwXut4/jwsyfOd/hUKhcbx1KZNG6xcuRK//vorGjduDFdXV3XCs3//fkRGRqrLlna++/n54cKFC9izZw92796NN998Ex9++CH2799vtJsPtO179+7d4e/vj88//xw+Pj7Iz89HgwYNinS2LuncGjZsGKKiovDjjz/i559/RlxcHBYuXIgxY8boVK+srCy88cYb6j5GhdWoUUNrHQrq8fz5XdbPgJLWWdC/8ccff4Svr69GOTnN0cXkhtQqVaqEjh07YtmyZRgzZkyZPjALNGnSBBcuXEBQUJDW+O+//478/HwsXLhQfRfT119/rVHGzs5O41cp8KxjpEqlwu3bt/HSSy+VuV66qlWrFuzs7HDo0CH4+/sDeHYX2PHjxzFu3Did1xMSEoJjx44hJiZGvezo0aPq/7u6usLHxweHDh3S+LI4dOgQWrRoYfiOkEWZP38+XnjhBQQHB2ssDwkJwaFDhzSWHTp0CHXq1CmS5BdWcMfQ8+eRLiIjIzFu3Dhs3rxZ3RG5TZs22LNnDw4dOoTx48ery5Z2vgPPfnB0794d3bt3x6hRo1C3bl0kJSWhSZMmWs91Q927dw8XLlzA559/rv6sOHjwoF7r8vPzw4gRIzBixAhMnjwZn3/+uUZyc/ToUXWi8uDBA1y8eBEhISEAnv1t/vrrrxL/NuZQ+GaLwp89csPkhjR8+umnaNWqFZo1a4YZM2YgNDQUVlZWOH78OM6fP4+mTZuW+Ppp06ahW7duqFGjBl5++WVYWVnhjz/+wJkzZzBnzhwEBQUhLy8PH3/8Mbp3745Dhw5p3IkBPGtSzcrKwt69e9GoUSM4OjqiTp06GDBgAGJiYrBw4UI0btwYd+7cwd69exEaGoquXbuWeV+fb6ECnjXZjxw5EhMnToSnpydq1KiBDz74AI8fP8bQoUN1XndsbCwGDx6MZs2aoVWrVli/fj3Onj2rbgUDgIkTJ2L69OmoVasWXnjhBcTHx+P06dNYv359mfeFLFvDhg0xYMAAfPTRRxrLx48fj+bNm2P27Nno168fjhw5gmXLluHTTz8tcX1Vq1aFg4MDdu7cierVq8Pe3h5ubm461SU0NBQeHh7YsGEDtm/fDuBZcjNhwgQoFAqNy2Slne8JCQlQqVRo2bIlHB0dsW7dOjg4OKh/OAQEBODAgQPo378/lEolKleuXJY/m1YeHh6oVKkSVq5cCW9vb6SkpODdd98t83rGjRuHzp07o06dOnjw4AH27dunTlwKzJo1C5UqVUK1atXw3nvvoXLlyupBEidNmoSwsDCMHj0aw4YNg5OTE/766y/s3r0by5YtM3g/9eXi4oIJEybgrbfeQn5+Pl588UVkZGTg0KFDcHV1xaBBg8xWN6Myd6cfkp6///5bjB49WgQGBgpbW1vh7OwsWrRoIT788EONu48AiC1bthR5/c6dO0VERIRwcHAQrq6uokWLFuo7JIR4dpeQt7e3cHBwEFFRUeKLL74QAMSDBw/UZUaMGCEqVaokAIjp06cLIZ517J02bZoICAgQtra2wtvbW/Tu3Vv8+eefQgjtHZG1Keikp+2Rmpoqnjx5IsaMGSMqV64slEqlaNWqlfjtt9/Ury/oTFi4vqdOnRIAxLVr19TL5s6dKypXriycnZ3FoEGDxDvvvKPRoVilUokZM2YIX19fYWtrKxo1aiR27NhRpJ6FO4U+ePBAABD79u0rdT9Jup7vGCvEs/fbzs5OPP+x/M0334h69eoJW1tbUaNGDfHhhx9qxIvrlPv5558LPz8/YWVlJSIjI4vdbmxsrDpeoGfPnsLGxkZ9p6JKpRIeHh4iLCysyHZKOt+3bNkiWrZsKVxdXYWTk5MICwvT6Ih/5MgRERoaKpRKZZH91kZbh+LC51SB3bt3i5CQEKFUKkVoaKhITEzU+LzS5dwaPXq0qFWrllAqlaJKlSri1VdfFXfv3hVC/PMZ8MMPP4j69esLOzs70aJFC/XdWgV+++030bFjR+Hs7CycnJxEaGioxk0E2t67Ro0aqT/zdKmntg7Fz/9NFi9eLPz9/dXP8/PzxZIlS0RwcLCwtbUVVapUEVFRUeq7weRAIYQQ5ZpNERERWbDExES0bdsWDx484NQHEsW7pYiIiEhWmNwQERGRrPCyFBEREckKW26IiIhIVpjcEBERkawwuSEiIiJZYXJDREREssLkhohkKSAgAEuWLDF3NYjIDHi3FBHJ0p07d+Dk5FTsZKxEJF9MbohIUnJzc9UTPxIR6YOXpYjIrNq0aYPRo0dj3LhxqFy5MqKionDmzBl07twZzs7OqFatGl599VXcvXtX/ZqHDx9iwIABcHJygre3NxYvXow2bdpozNz+/GWplJQU9OzZE87OznB1dUXfvn1x69YtdXzGjBl44YUX8OWXXyIgIABubm7o378/Hj58WB5/BiIyIiY3RGR2a9euhZ2dHQ4dOoT58+ejXbt2aNy4MU6cOIGdO3fi1q1b6Nu3r7r822+/jUOHDuH777/H7t278euvv+LkyZPFrj8/Px89e/bE/fv3sX//fuzevRtXr15Fv379NMpduXIFW7duxfbt27F9+3bs378f8+fPN9l+E5Fp2Ji7AkREtWvXxgcffAAAmDNnDho3box58+ap42vWrIGfnx8uXrwIb29vrF27Fhs2bED79u0BAPHx8fDx8Sl2/Xv37kVSUhKuXbsGPz8/AMAXX3yB+vXr4/jx42jevDmAZ0lQQkICXFxcAACvvvoq9u7di7lz55pkv4nINJjcEJHZNW3aVP3/P/74A/v27YOzs3ORcleuXMGTJ0+Ql5eHFi1aqJe7ubkhODi42PWfO3cOfn5+6sQGAOrVqwd3d3ecO3dOndwEBASoExsA8Pb2xu3btw3aNyIqf0xuiMjsnJyc1P/PyspC9+7d8f777xcp5+3tjcuXL5usHra2thrPFQoF8vPzTbY9IjIN9rkhIklp0qQJzp49i4CAAAQFBWk8nJycULNmTdja2uL48ePq12RkZODixYvFrjMkJASpqalITU1VL/vrr7+Qnp6OevXqmXR/iKj8MbkhIkkZNWoU7t+/j+joaBw/fhxXrlzBrl278Nprr0GlUsHFxQWDBg3CxIkTsW/fPpw9exZDhw6FlZUVFAqF1nV26NABDRs2xIABA3Dy5En89ttviImJQWRkJJo1a1bOe0hEpsbkhogkxcfHB4cOHYJKpcK//vUvNGzYEOPGjYO7uzusrJ59ZC1atAjh4eHo1q0bOnTogFatWiEkJAT29vZa16lQKLBt2zZ4eHigdevW6NChA2rWrImvvvqqPHeNiMoJB/EjIov36NEj+Pr6YuHChRg6dKi5q0NEZsYOxURkcU6dOoXz58+jRYsWyMjIwKxZswAAPXv2NHPNiEgKmNwQkUVasGABLly4ADs7OzRt2hS//vorKleubO5qEZEE8LIUERERyQo7FBMREZGsMLkhIiIiWWFyQ0RERLLC5IaIiIhkhckNERERyQqTGyIiIpIVJjdEREQkK0xuiIiISFaY3BAREZGs/B9lwKv4NX7XuwAAAABJRU5ErkJggg==",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -4088,13 +4234,6 @@
     ")\n",
     "sns.move_legend(ax, \"lower left\", bbox_to_anchor=(0, 1.02), ncols=2)"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {