diff --git a/.gitignore b/.gitignore
index f985f9a..4377daf 100644
--- a/.gitignore
+++ b/.gitignore
@@ -4,6 +4,9 @@ __pycache__/
# ignore API keys
key.txt
+# ignore Google data
+*.nc
+
# ignore certain .csv files
impact_data_Mali.csv
impact_data_Mali_subraw.csv
@@ -11,7 +14,8 @@ impact_data_Mali_tidied.csv
missing_cercle_info.csv
missing_cercle_info_after_mod.csv
impact_events_per_admin_54.csv
-impact_events_per_admin_529.csv
+impact_events_per_admin_123.csv
+impact_events_per_admin_525.csv
impact_events_per_admin_673.csv
# ignore experimentation notebooks
diff --git a/GoogleFloodHub/data/floods_data/mali/2024-10-01_to_2024-10-10.csv b/GoogleFloodHub/data/floods_data/mali/2024-10-01_to_2024-10-10.csv
index e50c2e2..881d6e1 100644
--- a/GoogleFloodHub/data/floods_data/mali/2024-10-01_to_2024-10-10.csv
+++ b/GoogleFloodHub/data/floods_data/mali/2024-10-01_to_2024-10-10.csv
@@ -559,166 +559,166 @@
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diff --git a/GoogleFloodHub/data/floods_data/somalia/2024-10-01_to_2024-10-10.csv b/GoogleFloodHub/data/floods_data/somalia/2024-10-01_to_2024-10-10.csv
new file mode 100644
index 0000000..70a255c
--- /dev/null
+++ b/GoogleFloodHub/data/floods_data/somalia/2024-10-01_to_2024-10-10.csv
@@ -0,0 +1,561 @@
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+518;hybas_1121129140;2024-10-05;2024-10-05 13:48:23.836419+00:00;2024-10-10;55.8564453125
+519;hybas_1121129140;2024-10-05;2024-10-05 13:48:23.836419+00:00;2024-10-11;56.98130798339844
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+521;hybas_1121129140;2024-10-06;2024-10-06 13:33:32.398795+00:00;2024-10-06;55.089298248291016
+522;hybas_1121129140;2024-10-06;2024-10-06 13:33:32.398795+00:00;2024-10-07;56.378108978271484
+523;hybas_1121129140;2024-10-06;2024-10-06 13:33:32.398795+00:00;2024-10-08;55.51327133178711
+524;hybas_1121129140;2024-10-06;2024-10-06 13:33:32.398795+00:00;2024-10-09;54.25222396850586
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+526;hybas_1121129140;2024-10-06;2024-10-06 13:33:32.398795+00:00;2024-10-11;57.0412483215332
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+531;hybas_1121129140;2024-10-07;2024-10-07 13:55:25.662154+00:00;2024-10-09;53.911399841308594
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diff --git a/GoogleFloodHub/data/mappings/Cercle_to_PCODE.json b/GoogleFloodHub/data/mappings/Cercle_to_PCODE.json
new file mode 100644
index 0000000..220044a
--- /dev/null
+++ b/GoogleFloodHub/data/mappings/Cercle_to_PCODE.json
@@ -0,0 +1,55 @@
+{
+ "ML0101": "BAFOULABE",
+ "ML0102": "DIEMA",
+ "ML0103": "SANDIA",
+ "ML0104": "KENIEBA",
+ "ML0105": "KITA",
+ "ML0106": "NIORO",
+ "ML0107": "YELIMANE",
+ "ML0201": "BANAMBA",
+ "ML0202": "DIOILA",
+ "ML0203": "KENEKOUN",
+ "ML0204": "KATI",
+ "ML0205": "KOLOKANI",
+ "ML0206": "TOUBAKORO",
+ "ML0207": "NARA",
+ "ML0301": "BOUGOUNI",
+ "ML0302": "ZEGOUA",
+ "ML0303": "KOLONDIEBA",
+ "ML0304": "KOUTIALA",
+ "ML0305": "BIRAMABOUGOU",
+ "ML0306": "YANFOLILA",
+ "ML0307": "KOURY",
+ "ML0401": "BARAOUELI",
+ "ML0402": "BLA",
+ "ML0403": "MACINA",
+ "ML0404": "NIONO",
+ "ML0405": "SAN",
+ "ML0406": "SEGOU",
+ "ML0407": "TOMINIAN",
+ "ML0501": "BANDIAGARA",
+ "ML0502": "BANKASS",
+ "ML0503": "DJENNE",
+ "ML0504": "DOUENTZA",
+ "ML0505": "KORO",
+ "ML0506": "MOPTI",
+ "ML0507": "TENENKOU",
+ "ML0508": "YOUWAROU",
+ "ML0601": "DIRE",
+ "ML0602": "GOUNDAM",
+ "ML0603": "GOURMA-RHAROUS",
+ "ML0604": "NIAFUNKE",
+ "ML0605": "TOMBOUCTOU",
+ "ML0701": "ANSONGO",
+ "ML0702": "BOUREM",
+ "ML0703": "TAMKOUTAT",
+ "ML0801": "ABEIBARA",
+ "ML0802": "INTACHDAYTE",
+ "ML0803": "AGUELHOK",
+ "ML0804": "TIN-ESSAKO",
+ "ML0901": "BAMAKO",
+ "ML1001": "MENAKA",
+ "ML1002": "ANDERAMBOUKANE",
+ "ML1003": "INEKAR",
+ "ML1004": "TIDERMENE"
+}
\ No newline at end of file
diff --git a/GoogleFloodHub/data/mappings/PCODE_to_Cercle.json b/GoogleFloodHub/data/mappings/PCODE_to_Cercle.json
new file mode 100644
index 0000000..5835328
--- /dev/null
+++ b/GoogleFloodHub/data/mappings/PCODE_to_Cercle.json
@@ -0,0 +1,67 @@
+{
+ "BAFOULABE": "ML0101",
+ "DIEMA": "ML0102",
+ "KAYES": "ML0103",
+ "KENIEBA": "ML0104",
+ "KITA": "ML0105",
+ "NIORO": "ML0106",
+ "YELIMANE": "ML0107",
+ "BANAMBA": "ML0201",
+ "DIOILA": "ML0202",
+ "KANGABA": "ML0203",
+ "KATI": "ML0204",
+ "KOLOKANI": "ML0205",
+ "KOULIKORO": "ML0206",
+ "NARA": "ML0207",
+ "BOUGOUNI": "ML0301",
+ "KADIOLO": "ML0302",
+ "KOLONDIEBA": "ML0303",
+ "KOUTIALA": "ML0304",
+ "SIKASSO": "ML0305",
+ "YANFOLILA": "ML0306",
+ "YOROSSO": "ML0307",
+ "BARAOUELI": "ML0401",
+ "BLA": "ML0402",
+ "MACINA": "ML0403",
+ "NIONO": "ML0404",
+ "SAN": "ML0405",
+ "SEGOU": "ML0406",
+ "TOMINIAN": "ML0407",
+ "BANDIAGARA": "ML0501",
+ "BANKASS": "ML0502",
+ "DJENNE": "ML0503",
+ "DOUENTZA": "ML0504",
+ "KORO": "ML0505",
+ "MOPTI": "ML0506",
+ "TENENKOU": "ML0507",
+ "YOUWAROU": "ML0508",
+ "DIRE": "ML0601",
+ "GOUNDAM": "ML0602",
+ "GOURMA-RHAROUS": "ML0603",
+ "NIAFUNKE": "ML0604",
+ "TOMBOUCTOU": "ML0605",
+ "ANSONGO": "ML0701",
+ "BOUREM": "ML0702",
+ "GAO": "ML0703",
+ "ABEIBARA": "ML0801",
+ "KIDAL": "ML0802",
+ "TESSALIT": "ML0803",
+ "TIN-ESSAKO": "ML0804",
+ "BAMAKO": "ML0901",
+ "MENAKA": "ML1001",
+ "ANDERAMBOUKANE": "ML1002",
+ "INEKAR": "ML1003",
+ "TIDERMENE": "ML1004",
+ "GOUMERA": "ML0103",
+ "ESSOUK": "ML0802",
+ "INTACHDAYTE": "ML0802",
+ "AGUELHOK": "ML0803",
+ "TAMKOUTAT": "ML0703",
+ "ZEGOUA": "ML0302",
+ "SONA": "ML0307",
+ "KOURY": "ML0307",
+ "BIRAMABOUGOU": "ML0305",
+ "SANDIA": "ML0103",
+ "TOUBAKORO": "ML0206",
+ "KENEKOUN": "ML0203"
+}
\ No newline at end of file
diff --git a/GoogleFloodHub/data/country_code_conversions/country_codes.json b/GoogleFloodHub/data/mappings/country_codes.json
similarity index 100%
rename from GoogleFloodHub/data/country_code_conversions/country_codes.json
rename to GoogleFloodHub/data/mappings/country_codes.json
diff --git a/GoogleFloodHub/data/country_code_conversions/country_codes_to_ISO_A3.json b/GoogleFloodHub/data/mappings/country_codes_to_ISO_A3.json
similarity index 100%
rename from GoogleFloodHub/data/country_code_conversions/country_codes_to_ISO_A3.json
rename to GoogleFloodHub/data/mappings/country_codes_to_ISO_A3.json
diff --git a/GoogleFloodHub/data/processed/GetGaugeModel/Mali_gauge_models_metadata_unverified.csv b/GoogleFloodHub/data/processed/GetGaugeModel/Mali_gauge_models_metadata_unverified.csv
new file mode 100644
index 0000000..9f6d861
--- /dev/null
+++ b/GoogleFloodHub/data/processed/GetGaugeModel/Mali_gauge_models_metadata_unverified.csv
@@ -0,0 +1,17 @@
+gaugeId;gaugeValueUnit;qualityVerified;warningLevel;dangerLevel;extremeDangerLevel
+hybas_1120641660;CUBIC_METERS_PER_SECOND;True;2071.439697265625;2351.6884765625;2674.150390625
+hybas_1120650110;CUBIC_METERS_PER_SECOND;True;67.53443145751953;128.68450927734375;251.50196838378906
+hybas_1120661040;CUBIC_METERS_PER_SECOND;True;52.250953674316406;100.93582916259766;192.5716552734375
+hybas_1120679780;CUBIC_METERS_PER_SECOND;True;3336.14013671875;3779.9326171875;4213.734375
+hybas_1120689830;CUBIC_METERS_PER_SECOND;True;3632.66845703125;4076.93603515625;4501.068359375
+hybas_1120705070;CUBIC_METERS_PER_SECOND;True;3896.59375;4392.75634765625;4894.8916015625
+hybas_1120737100;CUBIC_METERS_PER_SECOND;True;3081.07373046875;3490.791748046875;3896.62841796875
+hybas_1120739110;CUBIC_METERS_PER_SECOND;True;635.864990234375;852.9635009765625;1097.7147216796875
+hybas_1120758950;CUBIC_METERS_PER_SECOND;True;554.3900756835938;729.4489135742188;919.7537231445312
+hybas_1120766460;CUBIC_METERS_PER_SECOND;True;834.0955200195312;1006.9996337890625;1238.7659912109375
+hybas_1121890140;CUBIC_METERS_PER_SECOND;True;2164.199951171875;2447.35107421875;2765.17578125
+hybas_1121893090;CUBIC_METERS_PER_SECOND;True;2487.1767578125;2800.095458984375;3149.558837890625
+hybas_1121895840;CUBIC_METERS_PER_SECOND;True;3312.148193359375;3752.041015625;4179.9990234375
+hybas_1121900350;CUBIC_METERS_PER_SECOND;True;3332.435791015625;3778.391845703125;4214.50927734375
+hybas_1121905290;CUBIC_METERS_PER_SECOND;True;3432.061279296875;3862.819580078125;4282.88427734375
+hybas_1121919510;CUBIC_METERS_PER_SECOND;True;3904.036376953125;4394.72998046875;4867.78173828125
diff --git a/GoogleFloodHub/data/processed/GetGaugeModel/Somalia_gauge_models_metadata_unverified.csv b/GoogleFloodHub/data/processed/GetGaugeModel/Somalia_gauge_models_metadata_unverified.csv
new file mode 100644
index 0000000..c38bb21
--- /dev/null
+++ b/GoogleFloodHub/data/processed/GetGaugeModel/Somalia_gauge_models_metadata_unverified.csv
@@ -0,0 +1,8 @@
+gaugeId;gaugeValueUnit;qualityVerified;warningLevel;dangerLevel;extremeDangerLevel
+hybas_1121107100;CUBIC_METERS_PER_SECOND;True;319.72576904296875;542.1416015625;892.085205078125
+hybas_1121118960;CUBIC_METERS_PER_SECOND;True;316.77227783203125;538.842529296875;893.172119140625
+hybas_1121129140;CUBIC_METERS_PER_SECOND;True;306.0406188964844;520.9566040039062;872.2642822265625
+hybas_1121132210;CUBIC_METERS_PER_SECOND;True;148.4223175048828;284.0182800292969;583.0240478515625
+hybas_1121133480;CUBIC_METERS_PER_SECOND;True;309.8502197265625;525.8154907226562;875.1937866210938
+hybas_1121138960;CUBIC_METERS_PER_SECOND;True;142.18370056152344;269.7467956542969;554.4031982421875
+hybas_1122079470;CUBIC_METERS_PER_SECOND;True;206.32691955566406;329.2409973144531;514.4306640625
diff --git a/GoogleFloodHub/data/processed/ListGauges/Mali_gauges_listed_unverified.csv b/GoogleFloodHub/data/processed/ListGauges/Mali_gauges_listed_unverified.csv
new file mode 100644
index 0000000..8219219
--- /dev/null
+++ b/GoogleFloodHub/data/processed/ListGauges/Mali_gauges_listed_unverified.csv
@@ -0,0 +1,1665 @@
+siteName;source;river;gaugeId;qualityVerified;hasModel;latitude;longitude
+;HYBAS;;hybas_1120040380;False;True;16.552083333332178;-4.918750000002717
+;HYBAS;;hybas_1120040400;False;True;19.31458333333205;-3.122916666669539
+;HYBAS;;hybas_1120040850;False;True;18.51041666666555;-2.4645833333361225
+;HYBAS;;hybas_1120040860;False;True;17.46041666666548;-2.672916666669437
+;HYBAS;;hybas_1120040960;False;True;20.70208333333209;-5.006250000002808
+;HYBAS;;hybas_1120041110;False;True;20.58541666666548;-4.097916666669335
+;HYBAS;;hybas_1120041510;False;True;16.789583333332246;-2.6395833333361907
+;HYBAS;;hybas_1120041730;False;True;17.377083333332223;-2.860416666669437
+;HYBAS;;hybas_1120043640;False;True;17.010416666665492;-3.0562500000028194
+;HYBAS;;hybas_1120303190;False;True;24.781249999998693;-6.418750000002774
+;HYBAS;;hybas_1120303810;False;True;24.760416666665375;-6.418750000002774
+;HYBAS;;hybas_1120397600;False;True;21.61874999999884;-5.9354166666694255
+;HYBAS;;hybas_1120410560;False;True;21.22708333333213;-5.514583333336134
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+;HYBAS;;hybas_1120429260;False;True;20.681249999998784;-5.018750000002683
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+;HYBAS;;hybas_1120471020;False;True;19.360416666665515;-3.3145833333360883
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+;HYBAS;;hybas_1120471950;False;True;19.3395833333322;-3.1354166666693573
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+;HYBAS;;hybas_1120472120;False;True;19.335416666665367;-3.4062500000027853
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+;HYBAS;;hybas_1120481330;False;True;19.05624999999884;-3.877083333336145
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+;HYBAS;;hybas_1120483990;False;True;18.98124999999885;-4.018750000002797
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+;HYBAS;;hybas_1120491030;False;True;18.74791666666539;0.6145833333305291
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diff --git a/GoogleFloodHub/data/processed/ListGauges/Somalia_gauges_listed_unverified.csv b/GoogleFloodHub/data/processed/ListGauges/Somalia_gauges_listed_unverified.csv
new file mode 100644
index 0000000..96664bb
--- /dev/null
+++ b/GoogleFloodHub/data/processed/ListGauges/Somalia_gauges_listed_unverified.csv
@@ -0,0 +1,1010 @@
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diff --git a/GoogleFloodHub/data/processed/flood_events/flood_events_per_admin_133.csv b/GoogleFloodHub/data/processed/flood_events/flood_events_per_admin_133.csv
new file mode 100644
index 0000000..0f34182
--- /dev/null
+++ b/GoogleFloodHub/data/processed/flood_events/flood_events_per_admin_133.csv
@@ -0,0 +1,134 @@
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diff --git a/GoogleFloodHub/data/processed/flood_events/flood_events_per_admin_141.csv b/GoogleFloodHub/data/processed/flood_events/flood_events_per_admin_141.csv
new file mode 100644
index 0000000..b47e385
--- /dev/null
+++ b/GoogleFloodHub/data/processed/flood_events/flood_events_per_admin_141.csv
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diff --git a/GoogleFloodHub/data/processed/flood_events/flood_events_per_admin_23.csv b/GoogleFloodHub/data/processed/flood_events/flood_events_per_admin_23.csv
new file mode 100644
index 0000000..9354e66
--- /dev/null
+++ b/GoogleFloodHub/data/processed/flood_events/flood_events_per_admin_23.csv
@@ -0,0 +1,24 @@
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diff --git a/GoogleFloodHub/data/processed/flood_events/flood_events_per_admin_405.csv b/GoogleFloodHub/data/processed/flood_events/flood_events_per_admin_405.csv
new file mode 100644
index 0000000..a00d109
--- /dev/null
+++ b/GoogleFloodHub/data/processed/flood_events/flood_events_per_admin_405.csv
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diff --git a/GoogleFloodHub/data/processed/flood_events/flood_events_per_admin_82.csv b/GoogleFloodHub/data/processed/flood_events/flood_events_per_admin_82.csv
new file mode 100644
index 0000000..8d01fa9
--- /dev/null
+++ b/GoogleFloodHub/data/processed/flood_events/flood_events_per_admin_82.csv
@@ -0,0 +1,83 @@
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diff --git a/GoogleFloodHub/data/processed/gauge_coords/Mali_gauge_coords.csv b/GoogleFloodHub/data/processed/gauge_coords/Mali_gauge_coords.csv
index b36f785..8ae3cd3 100644
--- a/GoogleFloodHub/data/processed/gauge_coords/Mali_gauge_coords.csv
+++ b/GoogleFloodHub/data/processed/gauge_coords/Mali_gauge_coords.csv
@@ -1,17 +1,1665 @@
gaugeId;latitude;longitude
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+hybas_1121904990;13.389583333332212;-9.197916666669414
+hybas_1121905090;13.381249999998944;-6.631250000002751
+hybas_1121905180;13.372916666665674;-10.368750000002647
+hybas_1121905290;13.360416666665628;-6.789583333336111
+hybas_1121905350;13.356249999999022;-10.272916666669405
+hybas_1121905590;13.339583333332314;-6.627083333336088
+hybas_1121905730;13.327083333332268;-9.289583333336054
+hybas_1121905800;13.322916666665606;-10.977083333335996
+hybas_1121905810;13.322916666665606;-8.202083333336077
+hybas_1121905840;13.318749999999;-7.243750000002649
+hybas_1121906240;13.297916666665683;-8.531250000002728
+hybas_1121906460;13.28541666666564;-8.085416666669346
+hybas_1121906660;13.27708333333237;-3.5770833333361907
+hybas_1121907090;13.247916666665615;-10.577083333336075
+hybas_1121907100;13.247916666665615;-10.481250000002715
+hybas_1121907480;13.222916666665697;-7.439583333336088
+hybas_1121907650;13.210416666665594;-9.627083333336032
+hybas_1121907760;13.202083333332212;-7.385416666669471
+hybas_1121907960;13.185416666665674;-6.868750000002819
+hybas_1121907970;13.185416666665674;-6.668750000002717
+hybas_1121907980;13.185416666665674;-6.160416666669391
+hybas_1121908100;13.177083333332234;-6.131250000002751
+hybas_1121908920;13.118749999998954;-5.606250000002717
+hybas_1121909060;13.106249999998852;-6.631250000002751
+hybas_1121909160;13.09791666666564;-9.731250000002774
+hybas_1121910100;13.031249999998863;-10.943750000002751
+hybas_1121910110;13.031249999998863;-6.239583333336043
+hybas_1121910560;13.006249999998944;-6.3104166666694255
+hybas_1121910650;12.997916666665674;-6.002083333336145
+hybas_1121910970;12.972916666665526;-9.593750000002672
+hybas_1121910980;12.972916666665526;-8.593750000002672
+hybas_1121911290;12.956249999998876;-7.460416666669403
+hybas_1121911430;12.947916666665606;-10.98541666666938
+hybas_1121911680;12.931249999998895;-7.76875000000274
+hybas_1121911810;12.922916666665683;-6.010416666669471
+hybas_1121911950;12.918749999998852;-5.652083333336066
+hybas_1121912140;12.906249999998977;-7.527083333336122
+hybas_1121912180;12.90208333333237;-11.027083333336009
+hybas_1121912970;12.852083333332304;-10.760416666669355
+hybas_1121913580;12.818749999998944;-5.63958333333602
+hybas_1121914060;12.785416666665526;-10.560416666669369
+hybas_1121914080;12.785416666665526;-7.668750000002717
+hybas_1121914430;12.760416666665606;-10.522916666669346
+hybas_1121914440;12.760416666665606;-7.572916666669471
+hybas_1121914740;12.739583333332291;-9.210416666669405
+hybas_1121914860;12.731249999999022;-5.239583333336043
+hybas_1121914930;12.727083333332246;-7.7479166666694255
+hybas_1121915130;12.71458333333237;-9.997916666669424
+hybas_1121915140;12.71458333333237;-9.45625000000274
+hybas_1121915150;12.71458333333237;-4.602083333336111
+hybas_1121915390;12.697916666665662;-6.4979166666694255
+hybas_1121915430;12.693749999998827;-10.764583333336075
+hybas_1121915620;12.681249999998954;-11.285416666669278
+hybas_1121915900;12.66041666666564;-11.222916666669336
+hybas_1121915910;12.66041666666564;-10.639583333336075
+hybas_1121915970;12.656249999999034;-5.264583333336077
+hybas_1121916030;12.6520833333322;-10.793750000002715
+hybas_1121916060;12.647916666665594;-9.9895833333361
+hybas_1121916080;12.647916666665594;-7.902083333336066
+hybas_1121916250;12.639583333332157;-7.92291666666938
+hybas_1121916400;12.631249999998886;-4.572916666669471
+hybas_1121916500;12.61874999999884;-6.2145833333361225
+hybas_1121916600;12.610416666665571;-8.847916666669448
+hybas_1121916680;12.606249999998964;-4.8395833333361225
+hybas_1121916910;12.59374999999892;-10.610416666669323
+hybas_1121917110;12.581249999999043;-10.847916666669391
+hybas_1121917290;12.568749999998944;-6.339583333336066
+hybas_1121917300;12.568749999998944;-4.593750000002785
+hybas_1121917810;12.531249999998977;-7.585416666669289
+hybas_1121917830;12.531249999998977;-4.868750000002763
+hybas_1121917850;12.527083333332314;-10.422916666669323
+hybas_1121917860;12.527083333332314;-9.51458333333602
+hybas_1121918190;12.506249999998827;-10.718750000002728
+hybas_1121918200;12.506249999998827;-10.597916666669391
+hybas_1121918320;12.493749999998954;-10.664583333336054
+hybas_1121919510;12.410416666665697;-8.106250000002774
+hybas_1121919710;12.397916666665653;-9.564583333336032
+hybas_1121919720;12.397916666665653;-9.452083333336075
+hybas_1121919800;12.389583333332212;-9.618750000002706
+hybas_1121920380;12.356249999999022;-7.206250000002797
+hybas_1121920590;12.343749999998977;-11.17291666666938
+hybas_1121920790;12.331249999998876;-6.006250000002751
+hybas_1121921020;12.318749999998827;-7.281250000002728
+hybas_1121921100;12.314583333332225;-9.6354166666693
+hybas_1121921400;12.293749999998909;-11.04375000000266
+hybas_1121922550;12.227083333332304;-11.206250000002626
+hybas_1121922880;12.202083333332212;-10.239583333336045
+hybas_1121923140;12.185416666665503;-7.022916666669346
+hybas_1121923150;12.185416666665509;-5.8062500000028185
+hybas_1121923300;12.172916666665628;-4.760416666669471
+hybas_1121924160;12.131249999999;-9.6770833333361
+hybas_1121924260;12.12291666666556;-10.51458333333602
+hybas_1121924350;12.118749999998956;-8.293750000002774
+hybas_1121924610;12.106249999998909;-6.960416666669403
+hybas_1121924810;12.093749999999034;-8.539583333335997
+hybas_1121924970;12.085416666665594;-11.35625000000266
+hybas_1121925500;12.052083333332178;-7.522916666669346
+hybas_1121925740;12.035416666665697;-8.702083333336077
+hybas_1121926130;12.014583333332212;-8.718750000002672
+hybas_1121926190;12.010416666665549;-4.9020833333361225
+hybas_1121926260;12.006249999998944;-4.952083333336134
+hybas_1121926670;11.96874999999892;-6.2145833333361225
+hybas_1121927280;11.931249999998956;-8.206250000002798
+hybas_1121927360;11.927083333332291;-6.164583333336111
+hybas_1121927400;11.922916666665683;-8.402083333336066
+hybas_1121927640;11.91041666666564;-7.143750000002797
+hybas_1121927840;11.897916666665594;-10.656250000002672
+hybas_1121928280;11.872916666665615;-6.127083333336143
+hybas_1121928360;11.868749999999013;-7.1770833333361
+hybas_1121928500;11.856249999998964;-5.581250000002797
+hybas_1121928630;11.847916666665697;-6.285416666669448
+hybas_1121928830;11.835416666665653;-6.0895833333361225
+hybas_1121929040;11.822916666665549;-7.143750000002797
+hybas_1121929140;11.814583333332337;-6.239583333336043
+hybas_1121929680;11.785416666665585;-6.035416666669447
+hybas_1121929850;11.777083333332314;-6.156250000002785
+hybas_1121929860;11.777083333332314;-6.018750000002741
+hybas_1121930330;11.743749999998954;-8.181250000002763
+hybas_1121930790;11.71458333333237;-8.497916666669369
+hybas_1121930800;11.714583333332367;-5.9645833333361225
+hybas_1121931200;11.685416666665615;-6.3729166666694255
+hybas_1121931460;11.672916666665571;-8.460416666669403
+hybas_1121931640;11.664583333332304;-6.4895833333361
+hybas_1121931980;11.639583333332384;-8.45625000000274
+hybas_1121932130;11.631249999998944;-7.252083333336145
+hybas_1121932420;11.606249999998964;-6.21041666666946
+hybas_1121932550;11.59374999999892;-8.506250000002638
+hybas_1121933410;11.543749999998852;-8.514583333336077
+hybas_1121933800;11.522916666665536;-7.335416666669403
+hybas_1121934500;11.464583333332255;-7.502083333336031
+hybas_1121934670;11.44791666666572;-8.589583333336066
+hybas_1121935030;11.427083333332234;-7.327083333336077
+hybas_1121935350;11.40624999999892;-7.377083333336145
+hybas_1121936790;11.331249999998931;-7.597916666669448
+hybas_1121937030;11.318749999998884;-5.739583333336044
+hybas_1121938800;11.206249999999043;-5.4354166666694255
+hybas_1121939410;11.152083333332367;-8.556250000002763
+hybas_1121939420;11.15208333333237;-6.656250000002785
+hybas_1121939430;11.15208333333237;-6.5895833333361225
+hybas_1121939720;11.13541666666566;-8.597916666669391
+hybas_1121939780;11.131249999999056;-8.485416666669323
+hybas_1121940130;11.110416666665516;-6.714583333336066
+hybas_1121940450;11.085416666665594;-6.172916666669494
+hybas_1121940880;11.06458333333228;-8.485416666669323
+hybas_1121942020;10.989583333332291;-6.297916666669438
+hybas_1121942570;10.95624999999893;-8.656250000002727
+hybas_1121942910;10.931249999998954;-6.247916666669369
+hybas_1121943580;10.88541666666572;-6.610416666669437
+hybas_1121943810;10.872916666665674;-6.102083333336111
+hybas_1121944140;10.847916666665697;-6.618750000002763
+hybas_1121944430;10.831249999999043;-6.656250000002784
+hybas_1121945470;10.764583333332268;-8.08125000000274
+hybas_1121947460;10.652083333332255;-7.410416666669448
+hybas_1121947780;10.631249999998944;-7.481250000002717
+hybas_1121948560;10.581249999998876;-7.3645833333361
+hybas_1121948660;10.572916666665662;-7.172916666669437
diff --git a/GoogleFloodHub/src/GRRR.ipynb b/GoogleFloodHub/src/GRRR.ipynb
index 2609767..6388cd8 100644
--- a/GoogleFloodHub/src/GRRR.ipynb
+++ b/GoogleFloodHub/src/GRRR.ipynb
@@ -35,7 +35,7 @@
},
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": 3,
"metadata": {},
"outputs": [
{
@@ -59,40 +59,35 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"df_Mali_gauges, df_Mali_gauge_models, df_Mali_forecasts = \\\n",
- " analyse.get_country_data('Mali','2024-07-08', '2024-10-08')"
+ " analyse.get_country_data('Mali','2024-07-08', '2024-10-08', True)"
]
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "0 hybas_1120641660\n",
- "1 hybas_1120650110\n",
- "2 hybas_1120661040\n",
- "3 hybas_1120679780\n",
- "4 hybas_1120689830\n",
- "5 hybas_1120705070\n",
- "6 hybas_1120737100\n",
- "7 hybas_1120739110\n",
- "8 hybas_1120758950\n",
- "9 hybas_1120766460\n",
- "10 hybas_1121890140\n",
- "11 hybas_1121893090\n",
- "12 hybas_1121895840\n",
- "13 hybas_1121900350\n",
- "14 hybas_1121905290\n",
- "15 hybas_1121919510\n",
- "Name: gaugeId, dtype: object\n"
+ "0 hybas_1120040380\n",
+ "1 hybas_1120040400\n",
+ "2 hybas_1120040850\n",
+ "3 hybas_1120040860\n",
+ "4 hybas_1120040960\n",
+ " ... \n",
+ "1659 hybas_1121945470\n",
+ "1660 hybas_1121947460\n",
+ "1661 hybas_1121947780\n",
+ "1662 hybas_1121948560\n",
+ "1663 hybas_1121948660\n",
+ "Name: gaugeId, Length: 1664, dtype: object\n"
]
}
],
@@ -100,25 +95,49 @@
"print(df_Mali_gauges['gaugeId'])"
]
},
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# import pandas as pd\n",
+ "\n",
+ "# def print_gauge_IDs(df: pd.DataFrame, width = 1):\n",
+ "# \"\"\"\n",
+ "# Prints the gauge IDs in the dataframe in a pretty format\n",
+ "\n",
+ "# :param df: dataframe containing gauge IDs\n",
+ "# :param width: width of the columns to print with\n",
+ "# \"\"\"\n",
+ "# print(\"Mali_hybases = [\")\n",
+ "# for idx in range(0, len(df), width):\n",
+ "# print(\" \" + \", \".join([f\"'{g}'\" for g in df[idx : idx + width]]) + \",\")\n",
+ "# print(\"]\")\n",
+ "\n",
+ "\n",
+ "# print_gauge_IDs(df_Mali_gauges['gaugeId'], 8)"
+ ]
+ },
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Replace the comment-block (1) with comment-block (2) in colab (of the aforementioned URL) for the Mali data to download"
+ "Replace the comment-block (1) with comment-block (2) for the verified gauges and comment-block (3) for the unverified gauges in addition to comment-block (4) in the colab (of the aforementioned URL) for the Mali data to download locally in the colab environment. Then, (if all processed correctly,) download it manually as a .zip (by converting: ``!zip -r gauge_data.zip /content/gauge_data`` -- and downloading: ``from google.colab import files`` and ``files.download('gauge_data.zip'))``"
]
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "\" comment-block (2)\\nMali_hybases = [\\n 'hybas_1120641660',\\n 'hybas_1120650110',\\n 'hybas_1120661040',\\n 'hybas_1120679780',\\n 'hybas_1120689830',\\n 'hybas_1120705070',\\n 'hybas_1120737100',\\n 'hybas_1120739110',\\n 'hybas_1120758950',\\n 'hybas_1120766460',\\n 'hybas_1121890140',\\n 'hybas_1121893090',\\n 'hybas_1121895840',\\n 'hybas_1121900350',\\n 'hybas_1121905290',\\n 'hybas_1121919510'\\n]\\n\\nfor hybas_id in Mali_hybases:\\n gauge_reforecast_ds = reforecast_ds.sel(gauge_id = hybas_id).compute()\\n gauge_reanalysis_ds = reanalysis_ds.sel(gauge_id = hybas_id).compute()\\n gauge_return_periods_ds = return_periods_ds.sel(gauge_id = hybas_id).compute()\\n\\n gauge_reforecast_ds.to_netcdf(f'{hybas_id}_reforecast_ds.nc')\\n gauge_reanalysis_ds.to_netcdf(f'{hybas_id}_reanalysis_ds.nc')\\n gauge_return_periods_ds.to_netcdf(f'{hybas_id}_return_periods_ds.nc')\\n\\n files.download(f'{hybas_id}_reforecast_ds.nc')\\n files.download(f'{hybas_id}_reanalysis_ds.nc')\\n files.download(f'{hybas_id}_return_periods_ds.nc')\\n\""
+ "\" comment-block (4)\\nimport os\\n\\nlocal_directory = '/content/gauge_data'\\nif not os.path.exists(local_directory):\\n os.makedirs(local_directory)\\n # for every hybas: get data and store locally\\ncount = 0 # in the directory /gauge_data/\\nexpected_count = len(Mali_hybases * 3)\\nfor hybas_id in Mali_hybases:\\n try:\\n gauge_reforecast_ds = reforecast_ds.sel(gauge_id = hybas_id).compute()\\n gauge_reanalysis_ds = reanalysis_ds.sel(gauge_id = hybas_id).compute()\\n gauge_return_periods_ds = return_periods_ds.sel(gauge_id = hybas_id).compute()\\n\\n reforecast_file = f'{local_directory}/{hybas_id}_reforecast_ds.nc'\\n reanalysis_file = f'{local_directory}/{hybas_id}_reanalysis_ds.nc'\\n return_periods_file = f'{local_directory}/{hybas_id}_return_periods_ds.nc'\\n\\n gauge_reforecast_ds.to_netcdf(reforecast_file)\\n gauge_reanalysis_ds.to_netcdf(reanalysis_file)\\n gauge_return_periods_ds.to_netcdf(return_periods_file)\\n\\n # check whether export OK\\n for file_path in [reforecast_file, reanalysis_file, return_periods_file]:\\n if os.path.exists(file_path):\\n file_size = os.path.getsize(file_path)\\n if file_size > 0:\\n count += 1\\n else:\\n print(f'Warning: {file_path} is empty')\\n else:\\n print(f'Error: file {file_path} not found after saving')\\n print(f'progress: {count}/{expected_count}, {count/expected_count * 100:.2f}%, countMOD3 = {count % 3}')\\n except Exception as exc:\\n print(f'An error occurred while processing {hybas_id}: {exc}')\\n\\nprint(f'\\n[actual/expected] downloaded files: {count}/{expected_count}')\\n\\nif os.path.exists(local_directory):\\n print(f'Compressing files in {local_directory} into {zip_file}...')\\n !zip -r {zip_file} {local_directory}\\n print(f'Compression complete: {zip_file}')\\nelse:\\n print(f'Error: the directory {local_directory} does not exist')\\n\\nif os.path.exists(zip_file): # download .zip file\\n files.download(zip_file)\\n\""
]
},
- "execution_count": 4,
+ "execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
@@ -149,19 +168,271 @@
" 'hybas_1121905290',\n",
" 'hybas_1121919510'\n",
"]\n",
+ "\"\"\"\n",
+ "\"\"\" comment-block (3)\n",
+ "Mali_hybases = [\n",
+ " 'hybas_1120040380', 'hybas_1120040400', 'hybas_1120040850', 'hybas_1120040860', 'hybas_1120040960', 'hybas_1120041110', 'hybas_1120041510', 'hybas_1120041730',\n",
+ " 'hybas_1120043640', 'hybas_1120303190', 'hybas_1120303810', 'hybas_1120397600', 'hybas_1120410560', 'hybas_1120411350', 'hybas_1120412240', 'hybas_1120429260',\n",
+ " 'hybas_1120432960', 'hybas_1120466750', 'hybas_1120470630', 'hybas_1120471020', 'hybas_1120471030', 'hybas_1120471950', 'hybas_1120471970', 'hybas_1120472120',\n",
+ " 'hybas_1120472270', 'hybas_1120472580', 'hybas_1120472590', 'hybas_1120473940', 'hybas_1120475600', 'hybas_1120477150', 'hybas_1120477170', 'hybas_1120478130',\n",
+ " 'hybas_1120479380', 'hybas_1120479830', 'hybas_1120481330', 'hybas_1120482130', 'hybas_1120483990', 'hybas_1120484930', 'hybas_1120487900', 'hybas_1120488260',\n",
+ " 'hybas_1120491030', 'hybas_1120491690', 'hybas_1120492490', 'hybas_1120493530', 'hybas_1120494590', 'hybas_1120496140', 'hybas_1120498360', 'hybas_1120504370',\n",
+ " 'hybas_1120504470', 'hybas_1120504640', 'hybas_1120505610', 'hybas_1120509630', 'hybas_1120510390', 'hybas_1120510890', 'hybas_1120512060', 'hybas_1120512280',\n",
+ " 'hybas_1120512460', 'hybas_1120513470', 'hybas_1120515750', 'hybas_1120517670', 'hybas_1120518390', 'hybas_1120518600', 'hybas_1120519840', 'hybas_1120520690',\n",
+ " 'hybas_1120520940', 'hybas_1120521780', 'hybas_1120522540', 'hybas_1120523280', 'hybas_1120523380', 'hybas_1120523420', 'hybas_1120523620', 'hybas_1120523630',\n",
+ " 'hybas_1120524850', 'hybas_1120525450', 'hybas_1120525650', 'hybas_1120527140', 'hybas_1120527350', 'hybas_1120527680', 'hybas_1120528640', 'hybas_1120529240',\n",
+ " 'hybas_1120529440', 'hybas_1120529940', 'hybas_1120530060', 'hybas_1120530160', 'hybas_1120530300', 'hybas_1120531120', 'hybas_1120531460', 'hybas_1120531880',\n",
+ " 'hybas_1120532050', 'hybas_1120532230', 'hybas_1120532750', 'hybas_1120532960', 'hybas_1120533300', 'hybas_1120533310', 'hybas_1120533700', 'hybas_1120533720',\n",
+ " 'hybas_1120533810', 'hybas_1120534130', 'hybas_1120534140', 'hybas_1120536810', 'hybas_1120538130', 'hybas_1120538290', 'hybas_1120539270', 'hybas_1120540030',\n",
+ " 'hybas_1120540480', 'hybas_1120540500', 'hybas_1120540680', 'hybas_1120540820', 'hybas_1120540830', 'hybas_1120544610', 'hybas_1120545390', 'hybas_1120545620',\n",
+ " 'hybas_1120547920', 'hybas_1120547940', 'hybas_1120548470', 'hybas_1120549740', 'hybas_1120550010', 'hybas_1120550020', 'hybas_1120550030', 'hybas_1120550230',\n",
+ " 'hybas_1120550380', 'hybas_1120550540', 'hybas_1120550770', 'hybas_1120550780', 'hybas_1120551370', 'hybas_1120551410', 'hybas_1120551560', 'hybas_1120551770',\n",
+ " 'hybas_1120551780', 'hybas_1120552270', 'hybas_1120552280', 'hybas_1120552460', 'hybas_1120552650', 'hybas_1120553250', 'hybas_1120553570', 'hybas_1120553740',\n",
+ " 'hybas_1120553750', 'hybas_1120554320', 'hybas_1120554770', 'hybas_1120554930', 'hybas_1120554940', 'hybas_1120555140', 'hybas_1120555550', 'hybas_1120555730',\n",
+ " 'hybas_1120556160', 'hybas_1120556480', 'hybas_1120556700', 'hybas_1120556990', 'hybas_1120557110', 'hybas_1120557170', 'hybas_1120557770', 'hybas_1120557870',\n",
+ " 'hybas_1120558440', 'hybas_1120558570', 'hybas_1120558910', 'hybas_1120559030', 'hybas_1120559430', 'hybas_1120559460', 'hybas_1120559600', 'hybas_1120559630',\n",
+ " 'hybas_1120560050', 'hybas_1120560230', 'hybas_1120560390', 'hybas_1120560420', 'hybas_1120560430', 'hybas_1120560650', 'hybas_1120561470', 'hybas_1120561650',\n",
+ " 'hybas_1120561810', 'hybas_1120561830', 'hybas_1120562900', 'hybas_1120562920', 'hybas_1120563590', 'hybas_1120563820', 'hybas_1120564590', 'hybas_1120564740',\n",
+ " 'hybas_1120564860', 'hybas_1120564960', 'hybas_1120564980', 'hybas_1120565220', 'hybas_1120565330', 'hybas_1120565450', 'hybas_1120565570', 'hybas_1120565730',\n",
+ " 'hybas_1120565890', 'hybas_1120565930', 'hybas_1120566540', 'hybas_1120566570', 'hybas_1120566910', 'hybas_1120567030', 'hybas_1120567200', 'hybas_1120567210',\n",
+ " 'hybas_1120567350', 'hybas_1120567380', 'hybas_1120567860', 'hybas_1120567870', 'hybas_1120567880', 'hybas_1120568290', 'hybas_1120568530', 'hybas_1120568560',\n",
+ " 'hybas_1120568750', 'hybas_1120568760', 'hybas_1120569130', 'hybas_1120569140', 'hybas_1120569160', 'hybas_1120569550', 'hybas_1120569730', 'hybas_1120570200',\n",
+ " 'hybas_1120570310', 'hybas_1120570840', 'hybas_1120571020', 'hybas_1120571170', 'hybas_1120571190', 'hybas_1120571210', 'hybas_1120571400', 'hybas_1120571780',\n",
+ " 'hybas_1120571790', 'hybas_1120571810', 'hybas_1120571920', 'hybas_1120572020', 'hybas_1120572030', 'hybas_1120572190', 'hybas_1120572200', 'hybas_1120572390',\n",
+ " 'hybas_1120572870', 'hybas_1120573290', 'hybas_1120573670', 'hybas_1120574720', 'hybas_1120574930', 'hybas_1120575020', 'hybas_1120575340', 'hybas_1120575820',\n",
+ " 'hybas_1120575840', 'hybas_1120576250', 'hybas_1120576260', 'hybas_1120576370', 'hybas_1120576380', 'hybas_1120576510', 'hybas_1120577130', 'hybas_1120577220',\n",
+ " 'hybas_1120577230', 'hybas_1120577590', 'hybas_1120577630', 'hybas_1120577750', 'hybas_1120577880', 'hybas_1120578220', 'hybas_1120579520', 'hybas_1120580940',\n",
+ " 'hybas_1120581610', 'hybas_1120582050', 'hybas_1120582390', 'hybas_1120582680', 'hybas_1120582840', 'hybas_1120582940', 'hybas_1120582950', 'hybas_1120583150',\n",
+ " 'hybas_1120583620', 'hybas_1120583640', 'hybas_1120584260', 'hybas_1120584350', 'hybas_1120584360', 'hybas_1120584370', 'hybas_1120584500', 'hybas_1120585080',\n",
+ " 'hybas_1120585100', 'hybas_1120585450', 'hybas_1120585480', 'hybas_1120585920', 'hybas_1120586040', 'hybas_1120586210', 'hybas_1120587030', 'hybas_1120587040',\n",
+ " 'hybas_1120587440', 'hybas_1120587780', 'hybas_1120587790', 'hybas_1120587880', 'hybas_1120588270', 'hybas_1120588310', 'hybas_1120588700', 'hybas_1120588980',\n",
+ " 'hybas_1120589130', 'hybas_1120589730', 'hybas_1120589740', 'hybas_1120589750', 'hybas_1120590180', 'hybas_1120590190', 'hybas_1120590750', 'hybas_1120591050',\n",
+ " 'hybas_1120591190', 'hybas_1120591200', 'hybas_1120591220', 'hybas_1120591420', 'hybas_1120591560', 'hybas_1120591740', 'hybas_1120591770', 'hybas_1120592240',\n",
+ " 'hybas_1120592250', 'hybas_1120592350', 'hybas_1120592790', 'hybas_1120593030', 'hybas_1120593040', 'hybas_1120593050', 'hybas_1120593470', 'hybas_1120594180',\n",
+ " 'hybas_1120594190', 'hybas_1120594490', 'hybas_1120594520', 'hybas_1120595390', 'hybas_1120595410', 'hybas_1120595660', 'hybas_1120595690', 'hybas_1120595820',\n",
+ " 'hybas_1120595960', 'hybas_1120596090', 'hybas_1120596100', 'hybas_1120596260', 'hybas_1120596300', 'hybas_1120596680', 'hybas_1120596900', 'hybas_1120596910',\n",
+ " 'hybas_1120597170', 'hybas_1120597370', 'hybas_1120597480', 'hybas_1120597500', 'hybas_1120597890', 'hybas_1120598090', 'hybas_1120598250', 'hybas_1120598480',\n",
+ " 'hybas_1120599220', 'hybas_1120599600', 'hybas_1120599620', 'hybas_1120600140', 'hybas_1120600480', 'hybas_1120600830', 'hybas_1120601080', 'hybas_1120601110',\n",
+ " 'hybas_1120601830', 'hybas_1120602200', 'hybas_1120602230', 'hybas_1120602680', 'hybas_1120602870', 'hybas_1120603030', 'hybas_1120603340', 'hybas_1120603370',\n",
+ " 'hybas_1120603580', 'hybas_1120603600', 'hybas_1120603890', 'hybas_1120603910', 'hybas_1120604170', 'hybas_1120604190', 'hybas_1120604370', 'hybas_1120604770',\n",
+ " 'hybas_1120605370', 'hybas_1120605610', 'hybas_1120605720', 'hybas_1120605730', 'hybas_1120605790', 'hybas_1120605800', 'hybas_1120605930', 'hybas_1120606420',\n",
+ " 'hybas_1120606590', 'hybas_1120606620', 'hybas_1120606800', 'hybas_1120606910', 'hybas_1120606920', 'hybas_1120607100', 'hybas_1120607120', 'hybas_1120607270',\n",
+ " 'hybas_1120608260', 'hybas_1120608270', 'hybas_1120608280', 'hybas_1120608450', 'hybas_1120609020', 'hybas_1120609100', 'hybas_1120609250', 'hybas_1120609270',\n",
+ " 'hybas_1120609400', 'hybas_1120609580', 'hybas_1120609590', 'hybas_1120609790', 'hybas_1120609940', 'hybas_1120609950', 'hybas_1120610400', 'hybas_1120610540',\n",
+ " 'hybas_1120610710', 'hybas_1120610850', 'hybas_1120611050', 'hybas_1120611180', 'hybas_1120611190', 'hybas_1120611200', 'hybas_1120611650', 'hybas_1120611660',\n",
+ " 'hybas_1120612020', 'hybas_1120612370', 'hybas_1120613290', 'hybas_1120613300', 'hybas_1120613430', 'hybas_1120613460', 'hybas_1120614120', 'hybas_1120614290',\n",
+ " 'hybas_1120614820', 'hybas_1120614850', 'hybas_1120614860', 'hybas_1120615070', 'hybas_1120615200', 'hybas_1120615740', 'hybas_1120616130', 'hybas_1120616150',\n",
+ " 'hybas_1120616250', 'hybas_1120616410', 'hybas_1120616420', 'hybas_1120616500', 'hybas_1120616670', 'hybas_1120616690', 'hybas_1120616700', 'hybas_1120617070',\n",
+ " 'hybas_1120617160', 'hybas_1120617360', 'hybas_1120617570', 'hybas_1120617870', 'hybas_1120617880', 'hybas_1120617930', 'hybas_1120618270', 'hybas_1120618560',\n",
+ " 'hybas_1120618570', 'hybas_1120618670', 'hybas_1120618790', 'hybas_1120618800', 'hybas_1120619400', 'hybas_1120619810', 'hybas_1120619820', 'hybas_1120619920',\n",
+ " 'hybas_1120619930', 'hybas_1120620140', 'hybas_1120620420', 'hybas_1120620550', 'hybas_1120620950', 'hybas_1120620980', 'hybas_1120621160', 'hybas_1120621340',\n",
+ " 'hybas_1120621490', 'hybas_1120621510', 'hybas_1120621520', 'hybas_1120621820', 'hybas_1120621980', 'hybas_1120622370', 'hybas_1120622540', 'hybas_1120623020',\n",
+ " 'hybas_1120623040', 'hybas_1120623900', 'hybas_1120623920', 'hybas_1120623930', 'hybas_1120624050', 'hybas_1120624420', 'hybas_1120624560', 'hybas_1120624690',\n",
+ " 'hybas_1120624700', 'hybas_1120624920', 'hybas_1120625000', 'hybas_1120625010', 'hybas_1120625310', 'hybas_1120625570', 'hybas_1120625970', 'hybas_1120626120',\n",
+ " 'hybas_1120626130', 'hybas_1120626240', 'hybas_1120626260', 'hybas_1120626430', 'hybas_1120626460', 'hybas_1120626560', 'hybas_1120626670', 'hybas_1120626700',\n",
+ " 'hybas_1120626730', 'hybas_1120626740', 'hybas_1120626870', 'hybas_1120627060', 'hybas_1120627170', 'hybas_1120627280', 'hybas_1120627290', 'hybas_1120627430',\n",
+ " 'hybas_1120627450', 'hybas_1120627460', 'hybas_1120627470', 'hybas_1120627480', 'hybas_1120627660', 'hybas_1120627670', 'hybas_1120627850', 'hybas_1120627860',\n",
+ " 'hybas_1120627960', 'hybas_1120627980', 'hybas_1120628110', 'hybas_1120628120', 'hybas_1120628260', 'hybas_1120628330', 'hybas_1120628350', 'hybas_1120628510',\n",
+ " 'hybas_1120628520', 'hybas_1120628530', 'hybas_1120628540', 'hybas_1120628550', 'hybas_1120628680', 'hybas_1120628730', 'hybas_1120629420', 'hybas_1120629430',\n",
+ " 'hybas_1120630150', 'hybas_1120630290', 'hybas_1120630440', 'hybas_1120630620', 'hybas_1120630640', 'hybas_1120630800', 'hybas_1120630930', 'hybas_1120631400',\n",
+ " 'hybas_1120631550', 'hybas_1120631730', 'hybas_1120631740', 'hybas_1120631890', 'hybas_1120632060', 'hybas_1120632070', 'hybas_1120632490', 'hybas_1120632620',\n",
+ " 'hybas_1120632630', 'hybas_1120633370', 'hybas_1120633580', 'hybas_1120633600', 'hybas_1120634230', 'hybas_1120634240', 'hybas_1120634440', 'hybas_1120634800',\n",
+ " 'hybas_1120634810', 'hybas_1120635400', 'hybas_1120635720', 'hybas_1120635740', 'hybas_1120636080', 'hybas_1120636160', 'hybas_1120636170', 'hybas_1120636660',\n",
+ " 'hybas_1120636820', 'hybas_1120636970', 'hybas_1120637330', 'hybas_1120637340', 'hybas_1120637510', 'hybas_1120637690', 'hybas_1120637880', 'hybas_1120638180',\n",
+ " 'hybas_1120638320', 'hybas_1120638470', 'hybas_1120638490', 'hybas_1120638510', 'hybas_1120638530', 'hybas_1120638640', 'hybas_1120638930', 'hybas_1120639070',\n",
+ " 'hybas_1120639310', 'hybas_1120639320', 'hybas_1120639330', 'hybas_1120639350', 'hybas_1120639370', 'hybas_1120639480', 'hybas_1120639620', 'hybas_1120639840',\n",
+ " 'hybas_1120639850', 'hybas_1120639990', 'hybas_1120640000', 'hybas_1120640160', 'hybas_1120640190', 'hybas_1120640350', 'hybas_1120640370', 'hybas_1120640580',\n",
+ " 'hybas_1120640680', 'hybas_1120640840', 'hybas_1120641440', 'hybas_1120641630', 'hybas_1120641640', 'hybas_1120641660', 'hybas_1120641680', 'hybas_1120642000',\n",
+ " 'hybas_1120642010', 'hybas_1120642020', 'hybas_1120642140', 'hybas_1120642160', 'hybas_1120642490', 'hybas_1120642990', 'hybas_1120643020', 'hybas_1120643170',\n",
+ " 'hybas_1120643390', 'hybas_1120643540', 'hybas_1120643800', 'hybas_1120643820', 'hybas_1120643950', 'hybas_1120644110', 'hybas_1120644270', 'hybas_1120644470',\n",
+ " 'hybas_1120644480', 'hybas_1120644490', 'hybas_1120644500', 'hybas_1120644510', 'hybas_1120644620', 'hybas_1120644920', 'hybas_1120645180', 'hybas_1120645190',\n",
+ " 'hybas_1120645630', 'hybas_1120645770', 'hybas_1120646000', 'hybas_1120646230', 'hybas_1120646630', 'hybas_1120646780', 'hybas_1120646950', 'hybas_1120646960',\n",
+ " 'hybas_1120646970', 'hybas_1120647210', 'hybas_1120647330', 'hybas_1120647580', 'hybas_1120647600', 'hybas_1120647730', 'hybas_1120647860', 'hybas_1120647880',\n",
+ " 'hybas_1120647910', 'hybas_1120648120', 'hybas_1120648650', 'hybas_1120648910', 'hybas_1120649070', 'hybas_1120649770', 'hybas_1120650110', 'hybas_1120650150',\n",
+ " 'hybas_1120650510', 'hybas_1120650760', 'hybas_1120650770', 'hybas_1120650880', 'hybas_1120651040', 'hybas_1120651140', 'hybas_1120651160', 'hybas_1120652080',\n",
+ " 'hybas_1120652110', 'hybas_1120652930', 'hybas_1120653070', 'hybas_1120653220', 'hybas_1120653430', 'hybas_1120653920', 'hybas_1120653930', 'hybas_1120653940',\n",
+ " 'hybas_1120654250', 'hybas_1120654440', 'hybas_1120654450', 'hybas_1120655200', 'hybas_1120655490', 'hybas_1120655670', 'hybas_1120655680', 'hybas_1120655880',\n",
+ " 'hybas_1120656040', 'hybas_1120656050', 'hybas_1120656400', 'hybas_1120656520', 'hybas_1120656740', 'hybas_1120656870', 'hybas_1120657320', 'hybas_1120657440',\n",
+ " 'hybas_1120657550', 'hybas_1120657740', 'hybas_1120657830', 'hybas_1120657850', 'hybas_1120657960', 'hybas_1120657990', 'hybas_1120658110', 'hybas_1120658270',\n",
+ " 'hybas_1120658280', 'hybas_1120658790', 'hybas_1120659170', 'hybas_1120659180', 'hybas_1120659570', 'hybas_1120659990', 'hybas_1120660180', 'hybas_1120660330',\n",
+ " 'hybas_1120660570', 'hybas_1120660580', 'hybas_1120660860', 'hybas_1120661020', 'hybas_1120661040', 'hybas_1120661190', 'hybas_1120661200', 'hybas_1120661220',\n",
+ " 'hybas_1120661290', 'hybas_1120661440', 'hybas_1120661550', 'hybas_1120661570', 'hybas_1120661810', 'hybas_1120661820', 'hybas_1120662020', 'hybas_1120662030',\n",
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+ " 'hybas_1121899110', 'hybas_1121899210', 'hybas_1121899250', 'hybas_1121899510', 'hybas_1121899570', 'hybas_1121899800', 'hybas_1121900020', 'hybas_1121900350',\n",
+ " 'hybas_1121900400', 'hybas_1121900510', 'hybas_1121900570', 'hybas_1121900700', 'hybas_1121900800', 'hybas_1121901020', 'hybas_1121901130', 'hybas_1121901200',\n",
+ " 'hybas_1121901370', 'hybas_1121901670', 'hybas_1121901680', 'hybas_1121901820', 'hybas_1121901960', 'hybas_1121902020', 'hybas_1121902250', 'hybas_1121902260',\n",
+ " 'hybas_1121902270', 'hybas_1121902350', 'hybas_1121902580', 'hybas_1121902750', 'hybas_1121902930', 'hybas_1121903010', 'hybas_1121903350', 'hybas_1121903540',\n",
+ " 'hybas_1121903600', 'hybas_1121903900', 'hybas_1121904080', 'hybas_1121904180', 'hybas_1121904990', 'hybas_1121905090', 'hybas_1121905180', 'hybas_1121905290',\n",
+ " 'hybas_1121905350', 'hybas_1121905590', 'hybas_1121905730', 'hybas_1121905800', 'hybas_1121905810', 'hybas_1121905840', 'hybas_1121906240', 'hybas_1121906460',\n",
+ " 'hybas_1121906660', 'hybas_1121907090', 'hybas_1121907100', 'hybas_1121907480', 'hybas_1121907650', 'hybas_1121907760', 'hybas_1121907960', 'hybas_1121907970',\n",
+ " 'hybas_1121907980', 'hybas_1121908100', 'hybas_1121908920', 'hybas_1121909060', 'hybas_1121909160', 'hybas_1121910100', 'hybas_1121910110', 'hybas_1121910560',\n",
+ " 'hybas_1121910650', 'hybas_1121910970', 'hybas_1121910980', 'hybas_1121911290', 'hybas_1121911430', 'hybas_1121911680', 'hybas_1121911810', 'hybas_1121911950',\n",
+ " 'hybas_1121912140', 'hybas_1121912180', 'hybas_1121912970', 'hybas_1121913580', 'hybas_1121914060', 'hybas_1121914080', 'hybas_1121914430', 'hybas_1121914440',\n",
+ " 'hybas_1121914740', 'hybas_1121914860', 'hybas_1121914930', 'hybas_1121915130', 'hybas_1121915140', 'hybas_1121915150', 'hybas_1121915390', 'hybas_1121915430',\n",
+ " 'hybas_1121915620', 'hybas_1121915900', 'hybas_1121915910', 'hybas_1121915970', 'hybas_1121916030', 'hybas_1121916060', 'hybas_1121916080', 'hybas_1121916250',\n",
+ " 'hybas_1121916400', 'hybas_1121916500', 'hybas_1121916600', 'hybas_1121916680', 'hybas_1121916910', 'hybas_1121917110', 'hybas_1121917290', 'hybas_1121917300',\n",
+ " 'hybas_1121917810', 'hybas_1121917830', 'hybas_1121917850', 'hybas_1121917860', 'hybas_1121918190', 'hybas_1121918200', 'hybas_1121918320', 'hybas_1121919510',\n",
+ " 'hybas_1121919710', 'hybas_1121919720', 'hybas_1121919800', 'hybas_1121920380', 'hybas_1121920590', 'hybas_1121920790', 'hybas_1121921020', 'hybas_1121921100',\n",
+ " 'hybas_1121921400', 'hybas_1121922550', 'hybas_1121922880', 'hybas_1121923140', 'hybas_1121923150', 'hybas_1121923300', 'hybas_1121924160', 'hybas_1121924260',\n",
+ " 'hybas_1121924350', 'hybas_1121924610', 'hybas_1121924810', 'hybas_1121924970', 'hybas_1121925500', 'hybas_1121925740', 'hybas_1121926130', 'hybas_1121926190',\n",
+ " 'hybas_1121926260', 'hybas_1121926670', 'hybas_1121927280', 'hybas_1121927360', 'hybas_1121927400', 'hybas_1121927640', 'hybas_1121927840', 'hybas_1121928280',\n",
+ " 'hybas_1121928360', 'hybas_1121928500', 'hybas_1121928630', 'hybas_1121928830', 'hybas_1121929040', 'hybas_1121929140', 'hybas_1121929680', 'hybas_1121929850',\n",
+ " 'hybas_1121929860', 'hybas_1121930330', 'hybas_1121930790', 'hybas_1121930800', 'hybas_1121931200', 'hybas_1121931460', 'hybas_1121931640', 'hybas_1121931980',\n",
+ " 'hybas_1121932130', 'hybas_1121932420', 'hybas_1121932550', 'hybas_1121933410', 'hybas_1121933800', 'hybas_1121934500', 'hybas_1121934670', 'hybas_1121935030',\n",
+ " 'hybas_1121935350', 'hybas_1121936790', 'hybas_1121937030', 'hybas_1121938800', 'hybas_1121939410', 'hybas_1121939420', 'hybas_1121939430', 'hybas_1121939720',\n",
+ " 'hybas_1121939780', 'hybas_1121940130', 'hybas_1121940450', 'hybas_1121940880', 'hybas_1121942020', 'hybas_1121942570', 'hybas_1121942910', 'hybas_1121943580',\n",
+ " 'hybas_1121943810', 'hybas_1121944140', 'hybas_1121944430', 'hybas_1121945470', 'hybas_1121947460', 'hybas_1121947780', 'hybas_1121948560', 'hybas_1121948660',\n",
+ "]\n",
+ "\"\"\"\n",
"\n",
- "for hybas_id in Mali_hybases:\n",
- " gauge_reforecast_ds = reforecast_ds.sel(gauge_id = hybas_id).compute()\n",
- " gauge_reanalysis_ds = reanalysis_ds.sel(gauge_id = hybas_id).compute()\n",
- " gauge_return_periods_ds = return_periods_ds.sel(gauge_id = hybas_id).compute()\n",
- "\n",
- " gauge_reforecast_ds.to_netcdf(f'{hybas_id}_reforecast_ds.nc')\n",
- " gauge_reanalysis_ds.to_netcdf(f'{hybas_id}_reanalysis_ds.nc')\n",
- " gauge_return_periods_ds.to_netcdf(f'{hybas_id}_return_periods_ds.nc')\n",
+ "\"\"\" comment-block (4)\n",
+ "import os\n",
"\n",
- " files.download(f'{hybas_id}_reforecast_ds.nc')\n",
- " files.download(f'{hybas_id}_reanalysis_ds.nc')\n",
- " files.download(f'{hybas_id}_return_periods_ds.nc')\n",
+ "local_directory = '/content/gauge_data'\n",
+ "if not os.path.exists(local_directory):\n",
+ " os.makedirs(local_directory)\n",
+ " # for every hybas: get data and store locally\n",
+ "count = 0 # in the directory /gauge_data/\n",
+ "expected_count = len(Mali_hybases * 3)\n",
+ "for hybas_id in Mali_hybases:\n",
+ " try:\n",
+ " gauge_reforecast_ds = reforecast_ds.sel(gauge_id = hybas_id).compute()\n",
+ " gauge_reanalysis_ds = reanalysis_ds.sel(gauge_id = hybas_id).compute()\n",
+ " gauge_return_periods_ds = return_periods_ds.sel(gauge_id = hybas_id).compute()\n",
+ "\n",
+ " reforecast_file = f'{local_directory}/{hybas_id}_reforecast_ds.nc'\n",
+ " reanalysis_file = f'{local_directory}/{hybas_id}_reanalysis_ds.nc'\n",
+ " return_periods_file = f'{local_directory}/{hybas_id}_return_periods_ds.nc'\n",
+ "\n",
+ " gauge_reforecast_ds.to_netcdf(reforecast_file)\n",
+ " gauge_reanalysis_ds.to_netcdf(reanalysis_file)\n",
+ " gauge_return_periods_ds.to_netcdf(return_periods_file)\n",
+ "\n",
+ " # check whether export OK\n",
+ " for file_path in [reforecast_file, reanalysis_file, return_periods_file]:\n",
+ " if os.path.exists(file_path):\n",
+ " file_size = os.path.getsize(file_path)\n",
+ " if file_size > 0:\n",
+ " count += 1\n",
+ " else:\n",
+ " print(f'Warning: {file_path} is empty')\n",
+ " else:\n",
+ " print(f'Error: file {file_path} not found after saving')\n",
+ " print(f'progress: {count}/{expected_count}, {count/expected_count * 100:.2f}%, countMOD3 = {count % 3}')\n",
+ " except Exception as exc:\n",
+ " print(f'An error occurred while processing {hybas_id}: {exc}')\n",
+ "\n",
+ "print(f'\\n[actual/expected] downloaded files: {count}/{expected_count}')\n",
+ "\n",
+ "from google.colab import files\n",
+ "zip_file = 'gauge_data.zip'\n",
+ "\n",
+ "if os.path.exists(local_directory):\n",
+ " print(f'Compressing files in {local_directory} into {zip_file}...')\n",
+ " !zip -r {zip_file} {local_directory}\n",
+ " print(f'Compression complete: {zip_file}')\n",
+ "else:\n",
+ " print(f'Error: the directory {local_directory} does not exist')\n",
+ "\n",
+ "if os.path.exists(zip_file): # download .zip file\n",
+ " files.download(zip_file)\n",
"\"\"\""
]
},
@@ -169,56 +440,59 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "This method is not robust, and due to many reoccuring downloads possible overloading colabs RAM or whatever, some files fail to download. This can probably worked around by using time.sleep() or some outer loop with a lag, but the safest option is to download one-by-one by uncommenting hybas ID's:"
+ "Now, download the manually added data (after putting it in folders (manually or with os/shutil package))"
]
},
{
"cell_type": "code",
- "execution_count": 5,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "\" \\n# hybas_id = 'hybas_1120641660'\\n# hybas_id = 'hybas_1120650110'\\n# hybas_id = 'hybas_1120661040'\\n# hybas_id = 'hybas_1120679780'\\n# hybas_id = 'hybas_1120689830'\\n# hybas_id = 'hybas_1120705070'\\n# hybas_id = 'hybas_1120737100'\\n# hybas_id = 'hybas_1120739110'\\n# hybas_id = 'hybas_1120758950'\\n# hybas_id = 'hybas_1120766460'\\n# hybas_id = 'hybas_1121890140'\\n# hybas_id = 'hybas_1121893090'\\n# hybas_id = 'hybas_1121895840'\\n# hybas_id = 'hybas_1121900350'\\n# hybas_id = 'hybas_1121905290'\\n# hybas_id = 'hybas_1121919510'\\n\""
- ]
- },
- "execution_count": 5,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "\"\"\" \n",
- "# hybas_id = 'hybas_1120641660'\n",
- "# hybas_id = 'hybas_1120650110'\n",
- "# hybas_id = 'hybas_1120661040'\n",
- "# hybas_id = 'hybas_1120679780'\n",
- "# hybas_id = 'hybas_1120689830'\n",
- "# hybas_id = 'hybas_1120705070'\n",
- "# hybas_id = 'hybas_1120737100'\n",
- "# hybas_id = 'hybas_1120739110'\n",
- "# hybas_id = 'hybas_1120758950'\n",
- "# hybas_id = 'hybas_1120766460'\n",
- "# hybas_id = 'hybas_1121890140'\n",
- "# hybas_id = 'hybas_1121893090'\n",
- "# hybas_id = 'hybas_1121895840'\n",
- "# hybas_id = 'hybas_1121900350'\n",
- "# hybas_id = 'hybas_1121905290'\n",
- "# hybas_id = 'hybas_1121919510'\n",
- "\"\"\""
- ]
- },
- {
- "cell_type": "markdown",
+ "execution_count": 9,
"metadata": {},
+ "outputs": [],
"source": [
- "Now, download the manually added data (after putting it in folders (manually or with os/shutil package))"
+ "# import os\n",
+ "# import shutil\n",
+ "# # create subdirectories (if non-existent)\n",
+ "# base_dir = '../data/GRRR'\n",
+ "# source_dir = os.path.join(base_dir, 'gauge_data')\n",
+ "# reanalysis_dir = os.path.join(base_dir, 'reanalysis')\n",
+ "# reforecast_dir = os.path.join(base_dir, 'reforecast')\n",
+ "# return_periods_dir = os.path.join(base_dir, 'return_periods')\n",
+ "\n",
+ "# goal_dirs = [reanalysis_dir, reforecast_dir, return_periods_dir]\n",
+ "# for subdir in goal_dirs:\n",
+ "# if not os.path.exists(subdir):\n",
+ "# os.makedirs(subdir)\n",
+ "# print(f'Created directory: {subdir}')\n",
+ "# # move files to respective subdirectories w/ shutil.move()\n",
+ "# all_files = os.listdir(source_dir)\n",
+ "# for filename in all_files:\n",
+ "# file_path = os.path.join(source_dir, filename)\n",
+ "# # skip directories (although there should be none)\n",
+ "# if os.path.isdir(file_path):\n",
+ "# continue\n",
+ "\n",
+ "# if filename.endswith('_reanalysis_ds.nc'):\n",
+ "# destination_dir = reanalysis_dir\n",
+ "# elif filename.endswith('_reforecast_ds.nc'):\n",
+ "# destination_dir = reforecast_dir\n",
+ "# elif filename.endswith('_return_periods_ds.nc'):\n",
+ "# destination_dir = return_periods_dir\n",
+ "# else:\n",
+ "# print(f'{filename} does not match any category')\n",
+ "# continue\n",
+ "\n",
+ "# # if it already exists, print and overwrite\n",
+ "# dest_file_path = os.path.join(destination_dir, filename)\n",
+ "# if os.path.exists(dest_file_path):\n",
+ "# os.remove(dest_file_path)\n",
+ "# print(f'Warning: replacing {filename} in {destination_dir}')\n",
+ "\n",
+ "# shutil.move(file_path, destination_dir)"
]
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
@@ -227,7 +501,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
@@ -241,7 +515,7 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 12,
"metadata": {},
"outputs": [
{
@@ -258,7 +532,7 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 13,
"metadata": {},
"outputs": [
{
@@ -289,22 +563,39 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 14,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "1664\n",
+ "1664\n",
+ "dict_keys(['ds_reforecast_1120040380', 'ds_reforecast_1120040400', 'ds_reforecast_1120040850', 'ds_reforecast_1120040860', 'ds_reforecast_1120040960', 'ds_reforecast_1120041110', 'ds_reforecast_1120041510', 'ds_reforecast_1120041730', 'ds_reforecast_1120043640', 'ds_reforecast_1120303190', 'ds_reforecast_1120303810', 'ds_reforecast_1120397600', 'ds_reforecast_1120410560', 'ds_reforecast_1120411350', 'ds_reforecast_1120412240', 'ds_reforecast_1120429260', 'ds_reforecast_1120432960', 'ds_reforecast_1120466750', 'ds_reforecast_1120470630', 'ds_reforecast_1120471020', 'ds_reforecast_1120471030', 'ds_reforecast_1120471950', 'ds_reforecast_1120471970', 'ds_reforecast_1120472120', 'ds_reforecast_1120472270', 'ds_reforecast_1120472580', 'ds_reforecast_1120472590', 'ds_reforecast_1120473940', 'ds_reforecast_1120475600', 'ds_reforecast_1120477150', 'ds_reforecast_1120477170', 'ds_reforecast_1120478130', 'ds_reforecast_1120479380', 'ds_reforecast_1120479830', 'ds_reforecast_1120481330', 'ds_reforecast_1120482130', 'ds_reforecast_1120483990', 'ds_reforecast_1120484930', 'ds_reforecast_1120487900', 'ds_reforecast_1120488260', 'ds_reforecast_1120491030', 'ds_reforecast_1120491690', 'ds_reforecast_1120492490', 'ds_reforecast_1120493530', 'ds_reforecast_1120494590', 'ds_reforecast_1120496140', 'ds_reforecast_1120498360', 'ds_reforecast_1120504370', 'ds_reforecast_1120504470', 'ds_reforecast_1120504640', 'ds_reforecast_1120505610', 'ds_reforecast_1120509630', 'ds_reforecast_1120510390', 'ds_reforecast_1120510890', 'ds_reforecast_1120512060', 'ds_reforecast_1120512280', 'ds_reforecast_1120512460', 'ds_reforecast_1120513470', 'ds_reforecast_1120515750', 'ds_reforecast_1120517670', 'ds_reforecast_1120518390', 'ds_reforecast_1120518600', 'ds_reforecast_1120519840', 'ds_reforecast_1120520690', 'ds_reforecast_1120520940', 'ds_reforecast_1120521780', 'ds_reforecast_1120522540', 'ds_reforecast_1120523280', 'ds_reforecast_1120523380', 'ds_reforecast_1120523420', 'ds_reforecast_1120523620', 'ds_reforecast_1120523630', 'ds_reforecast_1120524850', 'ds_reforecast_1120525450', 'ds_reforecast_1120525650', 'ds_reforecast_1120527140', 'ds_reforecast_1120527350', 'ds_reforecast_1120527680', 'ds_reforecast_1120528640', 'ds_reforecast_1120529240', 'ds_reforecast_1120529440', 'ds_reforecast_1120529940', 'ds_reforecast_1120530060', 'ds_reforecast_1120530160', 'ds_reforecast_1120530300', 'ds_reforecast_1120531120', 'ds_reforecast_1120531460', 'ds_reforecast_1120531880', 'ds_reforecast_1120532050', 'ds_reforecast_1120532230', 'ds_reforecast_1120532750', 'ds_reforecast_1120532960', 'ds_reforecast_1120533300', 'ds_reforecast_1120533310', 'ds_reforecast_1120533700', 'ds_reforecast_1120533720', 'ds_reforecast_1120533810', 'ds_reforecast_1120534130', 'ds_reforecast_1120534140', 'ds_reforecast_1120536810', 'ds_reforecast_1120538130', 'ds_reforecast_1120538290', 'ds_reforecast_1120539270', 'ds_reforecast_1120540030', 'ds_reforecast_1120540480', 'ds_reforecast_1120540500', 'ds_reforecast_1120540680', 'ds_reforecast_1120540820', 'ds_reforecast_1120540830', 'ds_reforecast_1120544610', 'ds_reforecast_1120545390', 'ds_reforecast_1120545620', 'ds_reforecast_1120547920', 'ds_reforecast_1120547940', 'ds_reforecast_1120548470', 'ds_reforecast_1120549740', 'ds_reforecast_1120550010', 'ds_reforecast_1120550020', 'ds_reforecast_1120550030', 'ds_reforecast_1120550230', 'ds_reforecast_1120550380', 'ds_reforecast_1120550540', 'ds_reforecast_1120550770', 'ds_reforecast_1120550780', 'ds_reforecast_1120551370', 'ds_reforecast_1120551410', 'ds_reforecast_1120551560', 'ds_reforecast_1120551770', 'ds_reforecast_1120551780', 'ds_reforecast_1120552270', 'ds_reforecast_1120552280', 'ds_reforecast_1120552460', 'ds_reforecast_1120552650', 'ds_reforecast_1120553250', 'ds_reforecast_1120553570', 'ds_reforecast_1120553740', 'ds_reforecast_1120553750', 'ds_reforecast_1120554320', 'ds_reforecast_1120554770', 'ds_reforecast_1120554930', 'ds_reforecast_1120554940', 'ds_reforecast_1120555140', 'ds_reforecast_1120555550', 'ds_reforecast_1120555730', 'ds_reforecast_1120556160', 'ds_reforecast_1120556480', 'ds_reforecast_1120556700', 'ds_reforecast_1120556990', 'ds_reforecast_1120557110', 'ds_reforecast_1120557170', 'ds_reforecast_1120557770', 'ds_reforecast_1120557870', 'ds_reforecast_1120558440', 'ds_reforecast_1120558570', 'ds_reforecast_1120558910', 'ds_reforecast_1120559030', 'ds_reforecast_1120559430', 'ds_reforecast_1120559460', 'ds_reforecast_1120559600', 'ds_reforecast_1120559630', 'ds_reforecast_1120560050', 'ds_reforecast_1120560230', 'ds_reforecast_1120560390', 'ds_reforecast_1120560420', 'ds_reforecast_1120560430', 'ds_reforecast_1120560650', 'ds_reforecast_1120561470', 'ds_reforecast_1120561650', 'ds_reforecast_1120561810', 'ds_reforecast_1120561830', 'ds_reforecast_1120562900', 'ds_reforecast_1120562920', 'ds_reforecast_1120563590', 'ds_reforecast_1120563820', 'ds_reforecast_1120564590', 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'ds_reforecast_1121903900', 'ds_reforecast_1121904080', 'ds_reforecast_1121904180', 'ds_reforecast_1121904990', 'ds_reforecast_1121905090', 'ds_reforecast_1121905180', 'ds_reforecast_1121905290', 'ds_reforecast_1121905350', 'ds_reforecast_1121905590', 'ds_reforecast_1121905730', 'ds_reforecast_1121905800', 'ds_reforecast_1121905810', 'ds_reforecast_1121905840', 'ds_reforecast_1121906240', 'ds_reforecast_1121906460', 'ds_reforecast_1121906660', 'ds_reforecast_1121907090', 'ds_reforecast_1121907100', 'ds_reforecast_1121907480', 'ds_reforecast_1121907650', 'ds_reforecast_1121907760', 'ds_reforecast_1121907960', 'ds_reforecast_1121907970', 'ds_reforecast_1121907980', 'ds_reforecast_1121908100', 'ds_reforecast_1121908920', 'ds_reforecast_1121909060', 'ds_reforecast_1121909160', 'ds_reforecast_1121910100', 'ds_reforecast_1121910110', 'ds_reforecast_1121910560', 'ds_reforecast_1121910650', 'ds_reforecast_1121910970', 'ds_reforecast_1121910980', 'ds_reforecast_1121911290', 'ds_reforecast_1121911430', 'ds_reforecast_1121911680', 'ds_reforecast_1121911810', 'ds_reforecast_1121911950', 'ds_reforecast_1121912140', 'ds_reforecast_1121912180', 'ds_reforecast_1121912970', 'ds_reforecast_1121913580', 'ds_reforecast_1121914060', 'ds_reforecast_1121914080', 'ds_reforecast_1121914430', 'ds_reforecast_1121914440', 'ds_reforecast_1121914740', 'ds_reforecast_1121914860', 'ds_reforecast_1121914930', 'ds_reforecast_1121915130', 'ds_reforecast_1121915140', 'ds_reforecast_1121915150', 'ds_reforecast_1121915390', 'ds_reforecast_1121915430', 'ds_reforecast_1121915620', 'ds_reforecast_1121915900', 'ds_reforecast_1121915910', 'ds_reforecast_1121915970', 'ds_reforecast_1121916030', 'ds_reforecast_1121916060', 'ds_reforecast_1121916080', 'ds_reforecast_1121916250', 'ds_reforecast_1121916400', 'ds_reforecast_1121916500', 'ds_reforecast_1121916600', 'ds_reforecast_1121916680', 'ds_reforecast_1121916910', 'ds_reforecast_1121917110', 'ds_reforecast_1121917290', 'ds_reforecast_1121917300', 'ds_reforecast_1121917810', 'ds_reforecast_1121917830', 'ds_reforecast_1121917850', 'ds_reforecast_1121917860', 'ds_reforecast_1121918190', 'ds_reforecast_1121918200', 'ds_reforecast_1121918320', 'ds_reforecast_1121919510', 'ds_reforecast_1121919710', 'ds_reforecast_1121919720', 'ds_reforecast_1121919800', 'ds_reforecast_1121920380', 'ds_reforecast_1121920590', 'ds_reforecast_1121920790', 'ds_reforecast_1121921020', 'ds_reforecast_1121921100', 'ds_reforecast_1121921400', 'ds_reforecast_1121922550', 'ds_reforecast_1121922880', 'ds_reforecast_1121923140', 'ds_reforecast_1121923150', 'ds_reforecast_1121923300', 'ds_reforecast_1121924160', 'ds_reforecast_1121924260', 'ds_reforecast_1121924350', 'ds_reforecast_1121924610', 'ds_reforecast_1121924810', 'ds_reforecast_1121924970', 'ds_reforecast_1121925500', 'ds_reforecast_1121925740', 'ds_reforecast_1121926130', 'ds_reforecast_1121926190', 'ds_reforecast_1121926260', 'ds_reforecast_1121926670', 'ds_reforecast_1121927280', 'ds_reforecast_1121927360', 'ds_reforecast_1121927400', 'ds_reforecast_1121927640', 'ds_reforecast_1121927840', 'ds_reforecast_1121928280', 'ds_reforecast_1121928360', 'ds_reforecast_1121928500', 'ds_reforecast_1121928630', 'ds_reforecast_1121928830', 'ds_reforecast_1121929040', 'ds_reforecast_1121929140', 'ds_reforecast_1121929680', 'ds_reforecast_1121929850', 'ds_reforecast_1121929860', 'ds_reforecast_1121930330', 'ds_reforecast_1121930790', 'ds_reforecast_1121930800', 'ds_reforecast_1121931200', 'ds_reforecast_1121931460', 'ds_reforecast_1121931640', 'ds_reforecast_1121931980', 'ds_reforecast_1121932130', 'ds_reforecast_1121932420', 'ds_reforecast_1121932550', 'ds_reforecast_1121933410', 'ds_reforecast_1121933800', 'ds_reforecast_1121934500', 'ds_reforecast_1121934670', 'ds_reforecast_1121935030', 'ds_reforecast_1121935350', 'ds_reforecast_1121936790', 'ds_reforecast_1121937030', 'ds_reforecast_1121938800', 'ds_reforecast_1121939410', 'ds_reforecast_1121939420', 'ds_reforecast_1121939430', 'ds_reforecast_1121939720', 'ds_reforecast_1121939780', 'ds_reforecast_1121940130', 'ds_reforecast_1121940450', 'ds_reforecast_1121940880', 'ds_reforecast_1121942020', 'ds_reforecast_1121942570', 'ds_reforecast_1121942910', 'ds_reforecast_1121943580', 'ds_reforecast_1121943810', 'ds_reforecast_1121944140', 'ds_reforecast_1121944430', 'ds_reforecast_1121945470', 'ds_reforecast_1121947460', 'ds_reforecast_1121947780', 'ds_reforecast_1121948560', 'ds_reforecast_1121948660'])\n"
+ ]
+ }
+ ],
"source": [
"# Now, download for all hybases:\n",
- "dict_ds_data_Mali = {}\n",
+ "# dict_ds_data_Mali = {}\n",
+ "dict_datasets = {}\n",
"dict_return_periods = {}\n",
"for hybas in df_Mali_gauges['gaugeId']:\n",
" ds_reanalysis = xr.open_dataset(f'../data/GRRR/reanalysis/{hybas}_reanalysis_ds.nc')\n",
" ds_reforecast = xr.open_dataset(f'../data/GRRR/reforecast/{hybas}_reforecast_ds.nc')\n",
" ds_return_ps = xr.open_dataset(f'../data/GRRR/return_periods/{hybas}_return_periods_ds.nc')\n",
"\n",
- " dict_ds_data_Mali[hybas] = {'reanalysis': ds_reanalysis,\n",
- " 'reforecast': ds_reforecast,\n",
- " 'return_periods': ds_return_ps}\n",
- " dict_return_periods[hybas] = ds_return_ps"
+ " # dict_ds_data_Mali[hybas] = {'reanalysis': ds_reanalysis,\n",
+ " # 'reforecast': ds_reforecast,\n",
+ " # 'return_periods': ds_return_ps}\n",
+ " dict_datasets[f'{hybas}'] = ds_reforecast\n",
+ " dict_return_periods[hybas] = ds_return_ps\n",
+ "\n",
+ "dict_datasets = {key.replace('hybas_', 'ds_reforecast_'): value for key, value in dict_datasets.items()}\n",
+ "print(len(dict_datasets))\n",
+ "print(len(dict_return_periods))\n",
+ "print(dict_datasets.keys())"
]
},
{
@@ -316,7 +607,7 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 15,
"metadata": {},
"outputs": [
{
@@ -340,7 +631,7 @@
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 16,
"metadata": {},
"outputs": [
{
@@ -364,7 +655,7 @@
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
@@ -382,7 +673,7 @@
},
{
"cell_type": "code",
- "execution_count": 14,
+ "execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
@@ -398,6 +689,16 @@
"# ds_reforecast, ds_return_ps)"
]
},
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# initialise all reforecast and return periods datasets available for Mali\n",
+ "# by making a dictionary with the hybas ID as the key"
+ ]
+ },
{
"cell_type": "markdown",
"metadata": {},
@@ -412,7 +713,7 @@
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": 20,
"metadata": {},
"outputs": [
{
@@ -788,21 +1089,21 @@
" gauge_id object ...\n",
" * lead_time (lead_time) timedelta64[ns] 0 days 1 days ... 6 days 7 days\n",
"Data variables:\n",
- " streamflow (issue_time, lead_time) float32 ...
"
],
"text/plain": [
"\n",
@@ -815,7 +1116,7 @@
" streamflow (issue_time, lead_time) float32 ..."
]
},
- "execution_count": 15,
+ "execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
@@ -827,17 +1128,7 @@
},
{
"cell_type": "code",
- "execution_count": 16,
- "metadata": {},
- "outputs": [],
- "source": [
- "# initialise all reforecast and return periods datasets available for Mali\n",
- "# by making a dictionary with the hybas ID as the key"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 17,
+ "execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
@@ -848,6 +1139,35 @@
"import xarray as xr\n",
"\n",
"\n",
+ "def index_country_gauge_coords(df_gauges: pd.DataFrame) -> pd.DataFrame:\n",
+ " \"\"\"\n",
+ " Return the DataFrame with gauge names and coordinates of a specific country\n",
+ "\n",
+ " :param df_gauges: DataFrame with gauge information\n",
+ " :param country_name: Name of the country\n",
+ " :return: DataFrame with gauge names and coordinates of a specific country\n",
+ " \"\"\"\n",
+ " return df_gauges.set_index('gaugeId')[['latitude', 'longitude']]\n",
+ "\n",
+ "\n",
+ "def export_country_gauge_coords(\n",
+ " df_gauges: pd.DataFrame, country_name: str = None\n",
+ " ) -> None:\n",
+ " \"\"\"\n",
+ " Export gauge names and coordinates of a specific country to .csv.\n",
+ " Optionally prints them as well (default = False)\n",
+ "\n",
+ " :param df_gauges: DataFrame with gauge information\n",
+ " :param country_name: Name of the country\n",
+ " \"\"\"\n",
+ " df_subset = index_country_gauge_coords(df_gauges)\n",
+ " df_subset.to_csv(f\"../data/processed/gauge_coords/{country_name}_gauge_coords.csv\",\n",
+ " index = True,\n",
+ " sep = ';',\n",
+ " decimal = '.',\n",
+ " encoding = 'utf-8')\n",
+ " \n",
+ "\n",
"def get_country_gauge_coords(country: str) -> pd.DataFrame:\n",
" \"\"\"\n",
" Get the coordinates of the gauges in a country, stored in data/ folder\n",
@@ -896,54 +1216,7 @@
},
{
"cell_type": "code",
- "execution_count": 18,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "{'ds_reforecast_1120641660': \n",
- "Dimensions: (issue_time: 2738, lead_time: 8)\n",
- "Coordinates:\n",
- " * issue_time (issue_time) datetime64[ns] 2016-01-01 2016-01-02 ... 2023-06-30\n",
- " gauge_id object ...\n",
- " * lead_time (lead_time) timedelta64[ns] 0 days 1 days ... 6 days 7 days\n",
- "Data variables:\n",
- " streamflow (issue_time, lead_time) float32 ...}\n"
- ]
- }
- ],
- "source": [
- "# create the dictionary with dataset names as keys and the datasets as values\n",
- "dict_datasets = {name: value for name, value in globals().items() if name.startswith('ds_reforecast_')}\n",
- "print(dict_datasets)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 19,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "dict_keys(['ds_reforecast_1120641660', 'ds_reforecast_1120650110', 'ds_reforecast_1120661040', 'ds_reforecast_1120679780', 'ds_reforecast_1120689830', 'ds_reforecast_1120705070', 'ds_reforecast_1120737100', 'ds_reforecast_1120739110', 'ds_reforecast_1120758950', 'ds_reforecast_1120766460', 'ds_reforecast_1121890140', 'ds_reforecast_1121893090', 'ds_reforecast_1121895840', 'ds_reforecast_1121900350', 'ds_reforecast_1121905290', 'ds_reforecast_1121919510'])\n"
- ]
- }
- ],
- "source": [
- "# get all reforecast datasets for Mali from dict_ds_data_Mali and change\n",
- "# they key from hybas_... to ds_reforecast_...\n",
- "dict_datasets = {key: value['reforecast'] for key, value in dict_ds_data_Mali.items()}\n",
- "dict_datasets = {key.replace('hybas_', 'ds_reforecast_'): value for key, value in dict_datasets.items()}\n",
- "print(dict_datasets.keys())"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 20,
+ "execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
@@ -1101,28 +1374,28 @@
},
{
"cell_type": "code",
- "execution_count": 21,
+ "execution_count": 23,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- " gauge_id longitude latitude \\\n",
- "0 1120641660 -4.20625 14.50625 \n",
+ " gauge_id longitude latitude \\\n",
+ "0 1120040380 -4.91875 16.552083 \n",
"\n",
" geometry index_adm Shape_Leng \\\n",
- "0 POLYGON ((-4.16133 14.50625, -4.16155 14.50185... 33 5.438311 \n",
+ "0 POLYGON ((-4.87383 16.55208, -4.87405 16.54768... 37 19.799568 \n",
"\n",
- " Shape_Area ADM2_FR ADM2_PCODE ADM2_REF ADM2ALT1FR ADM2ALT2FR ADM1_FR \\\n",
- "0 0.611429 Mopti ML0506 None None None Mopti \n",
+ " Shape_Area ADM2_FR ADM2_PCODE ADM2_REF ADM2ALT1FR ADM2ALT2FR ADM1_FR \\\n",
+ "0 9.833102 Goundam ML0602 None None None Tombouctou \n",
"\n",
" ADM1_PCODE ADM0_FR ADM0_PCODE date validOn validTo \n",
- "0 ML05 Mali (le) ML 2015-06-01 2021-12-20 0000/00/00 \n",
- "{'1120641660': ['ML0506'], '1120650110': ['ML0201', 'ML0207'], '1120661040': ['ML0201'], '1120679780': ['ML0406'], '1120689830': ['ML0206', 'ML0401'], '1120705070': ['ML0206'], '1120737100': ['ML0203', 'ML0204'], '1120739110': ['ML0202', 'ML0305'], '1120758950': ['ML0303', 'ML0301', 'ML0305'], '1120766460': ['ML0306'], '1121890140': ['ML0506'], '1121893090': ['ML0507'], '1121895840': ['ML0403'], '1121900350': ['ML0406'], '1121905290': ['ML0206', 'ML0401', 'ML0406'], '1121919510': ['ML0204']}\n",
+ "0 ML06 Mali (le) ML 2015-06-01 2021-12-20 0000/00/00 \n",
+ "{'1120040380': ['ML0602'], '1120040400': ['ML0605'], '1120040850': ['ML0605'], '1120040860': ['ML0605'], '1120040960': ['ML0602', 'ML0605'], '1120041110': ['ML0605'], '1120041510': ['ML0605'], '1120041730': ['ML0605'], '1120043640': ['ML0605'], '1120303190': ['ML0605'], '1120303810': ['ML0605'], '1120397600': ['ML0602'], '1120410560': ['ML0602'], '1120411350': ['ML0602'], '1120412240': ['ML0602'], '1120429260': ['ML0602', 'ML0605'], '1120432960': ['ML0605'], '1120466750': ['ML0605'], '1120470630': ['ML0605'], '1120471020': ['ML0605'], '1120471030': ['ML0605'], '1120471950': ['ML0605'], '1120471970': ['ML0605'], '1120472120': ['ML0605'], '1120472270': ['ML0605'], '1120472580': ['ML0605'], '1120472590': ['ML0605'], '1120473940': ['ML0605'], '1120475600': ['ML0605'], '1120477150': ['ML0605'], '1120477170': ['ML0605'], '1120478130': ['ML0605'], '1120479380': ['ML0605'], '1120479830': ['ML0605'], '1120481330': ['ML0605'], '1120482130': ['ML0605'], '1120483990': ['ML0605'], '1120484930': ['ML0605'], '1120487900': ['ML0602', 'ML0605'], '1120488260': ['ML0602'], '1120491030': ['ML0803'], '1120491690': ['ML0803'], '1120492490': ['ML0602'], '1120493530': ['ML0802', 'ML0803'], '1120494590': ['ML0602'], '1120496140': ['ML0802', 'ML0803'], '1120498360': ['ML0605'], '1120504370': ['ML0802'], '1120504470': ['ML0605'], '1120504640': ['ML0802'], '1120505610': ['ML0802'], '1120509630': ['ML0804'], '1120510390': ['ML0702', 'ML0802'], '1120510890': ['ML0802'], '1120512060': ['ML0804'], '1120512280': ['ML0804'], '1120512460': ['ML0804'], '1120513470': ['ML0802'], '1120515750': ['ML1003', 'ML0804'], '1120517670': ['ML0702', 'ML0802'], '1120518390': ['ML0702'], '1120518600': ['ML0702'], '1120519840': ['ML1003'], '1120520690': ['ML0702'], '1120520940': ['ML0702'], '1120521780': ['ML0602', 'ML0605'], '1120522540': ['ML0702', 'ML0802'], '1120523280': ['ML1003'], '1120523380': ['ML0605'], '1120523420': ['ML0702'], '1120523620': ['ML1003'], '1120523630': ['ML1003'], '1120524850': ['ML0605'], '1120525450': ['ML0605'], '1120525650': ['ML1003'], '1120527140': ['ML0605'], '1120527350': ['ML0702'], '1120527680': ['ML0605'], '1120528640': ['ML0605'], '1120529240': ['ML0605'], '1120529440': ['ML0605'], '1120529940': ['ML0605'], '1120530060': ['ML1003'], '1120530160': ['ML0605'], '1120530300': ['ML1003'], '1120531120': ['ML0605'], '1120531460': ['ML0605'], '1120531880': ['ML0605'], '1120532050': ['ML0605'], '1120532230': ['ML0702'], '1120532750': ['ML0605'], '1120532960': ['ML0605'], '1120533300': ['ML0605'], '1120533310': ['ML0605'], '1120533700': ['ML0605'], '1120533720': ['ML0605'], '1120533810': ['ML0605'], '1120534130': ['ML0605'], '1120534140': ['ML0605'], '1120536810': ['ML1003'], '1120538130': ['ML0605'], '1120538290': ['ML1003'], '1120539270': ['ML1003'], '1120540030': ['ML1003'], '1120540480': ['ML0702'], '1120540500': ['ML1003'], '1120540680': ['ML0702'], '1120540820': ['ML0602'], '1120540830': ['ML0602'], '1120544610': ['ML0702'], '1120545390': ['ML0602'], '1120545620': ['ML1003'], '1120547920': ['ML0602'], '1120547940': ['ML0702'], '1120548470': ['ML0602'], '1120549740': ['ML1003'], '1120550010': ['ML0702'], '1120550020': ['ML0702'], '1120550030': ['ML1004'], '1120550230': ['ML1003'], '1120550380': ['ML0702'], '1120550540': ['ML0702'], '1120550770': ['ML0702'], '1120550780': ['ML0703', 'ML0702'], '1120551370': ['ML0602'], '1120551410': ['ML0702'], '1120551560': ['ML0603', 'ML0605'], '1120551770': ['ML0603', 'ML0605'], '1120551780': ['ML0702'], '1120552270': ['ML0702'], '1120552280': ['ML0702'], '1120552460': ['ML0702'], '1120552650': ['ML1004'], '1120553250': ['ML0703', 'ML0702'], '1120553570': ['ML0702'], '1120553740': ['ML0603'], '1120553750': ['ML0702'], '1120554320': ['ML0603'], '1120554770': ['ML0702'], '1120554930': ['ML0605'], '1120554940': ['ML0603'], '1120555140': ['ML1004'], '1120555550': ['ML1003'], '1120555730': ['ML0603'], '1120556160': ['ML1003'], '1120556480': ['ML0602'], '1120556700': ['ML0603'], '1120556990': ['ML0702'], '1120557110': ['ML0602'], '1120557170': ['ML1004'], '1120557770': ['ML1003'], '1120557870': ['ML1004'], '1120558440': ['ML0702'], '1120558570': ['ML1004'], '1120558910': ['ML0602'], '1120559030': ['ML0603', 'ML0605'], '1120559430': ['ML0603'], '1120559460': ['ML1003'], '1120559600': ['ML0602'], '1120559630': ['ML0703'], '1120560050': ['ML0603'], '1120560230': ['ML0602'], '1120560390': ['ML0602'], '1120560420': ['ML0603'], '1120560430': ['ML0603'], '1120560650': ['ML0703'], '1120561470': ['ML0602'], '1120561650': ['ML0702'], '1120561810': ['ML0603', 'ML0605'], '1120561830': ['ML0603', 'ML0605'], '1120562900': ['ML0602'], '1120562920': ['ML1004'], '1120563590': ['ML1004'], '1120563820': ['ML0603', 'ML0605'], '1120564590': ['ML0703'], '1120564740': ['ML0603', 'ML0601', 'ML0605'], '1120564860': ['ML0603', 'ML0601', 'ML0605'], '1120564960': ['ML0603', 'ML0601', 'ML0605'], '1120564980': ['ML1003'], '1120565220': ['ML0601', 'ML0605'], '1120565330': ['ML0601', 'ML0602', 'ML0605'], '1120565450': ['ML0603'], '1120565570': ['ML0603'], '1120565730': ['ML0602'], '1120565890': ['ML0603'], '1120565930': ['ML1004'], '1120566540': ['ML0602', 'ML0605'], '1120566570': ['ML0703', 'ML0702'], '1120566910': ['ML1003'], '1120567030': ['ML0602'], '1120567200': ['ML0603'], '1120567210': ['ML0703'], '1120567350': ['ML0703'], '1120567380': ['ML1003'], '1120567860': ['ML0602'], '1120567870': ['ML0602'], '1120567880': ['ML0602'], '1120568290': ['ML0602'], '1120568530': ['ML0703'], '1120568560': ['ML1003'], '1120568750': ['ML0602'], '1120568760': ['ML0602'], '1120569130': ['ML0602'], '1120569140': ['ML0703'], '1120569160': ['ML1003'], '1120569550': ['ML0703'], '1120569730': ['ML0603', 'ML0601'], '1120570200': ['ML1003'], '1120570310': ['ML0602'], '1120570840': ['ML1004'], '1120571020': ['ML0703'], '1120571170': ['ML0602'], '1120571190': ['ML0603'], '1120571210': ['ML0703'], '1120571400': ['ML0602'], '1120571780': ['ML0602'], '1120571790': ['ML0602'], '1120571810': ['ML0603'], '1120571920': ['ML0602'], '1120572020': ['ML0602'], '1120572030': ['ML0602'], '1120572190': ['ML0603', 'ML0601'], '1120572200': ['ML0603', 'ML0601'], '1120572390': ['ML0703'], '1120572870': ['ML0602'], '1120573290': ['ML0703'], '1120573670': ['ML1003'], '1120574720': ['ML0602'], '1120574930': ['ML1003'], '1120575020': ['ML0601'], '1120575340': ['ML0703'], '1120575820': ['ML0602'], '1120575840': ['ML1001', 'ML1004'], '1120576250': ['ML0601'], '1120576260': ['ML1001', 'ML1004'], '1120576370': ['ML0603'], '1120576380': ['ML0703'], '1120576510': ['ML0602'], '1120577130': ['ML1001', 'ML0701', 'ML1004'], '1120577220': ['ML0703'], '1120577230': ['ML1003'], '1120577590': ['ML0603'], '1120577630': ['ML1003'], '1120577750': ['ML0703'], '1120577880': ['ML1001'], '1120578220': ['ML1003'], '1120579520': ['ML1001', 'ML1004'], '1120580940': ['ML0601'], '1120581610': ['ML0703'], '1120582050': ['ML0703'], '1120582390': ['ML0703'], '1120582680': ['ML0703'], '1120582840': ['ML1003'], '1120582940': ['ML0601', 'ML0604'], '1120582950': ['ML0601', 'ML0604'], '1120583150': ['ML0603'], '1120583620': ['ML0701'], '1120583640': ['ML1001', 'ML1004'], '1120584260': ['ML0703'], '1120584350': ['ML0604', 'ML0602'], '1120584360': ['ML0601', 'ML0604', 'ML0602'], '1120584370': ['ML1003'], '1120584500': ['ML1001', 'ML0701'], '1120585080': ['ML1001', 'ML0701'], '1120585100': ['ML1003'], '1120585450': ['ML0603'], '1120585480': ['ML0703'], '1120585920': ['ML0703'], '1120586040': ['ML0604'], '1120586210': ['ML1001'], '1120587030': ['ML0703'], '1120587040': ['ML1001'], '1120587440': ['ML1003'], '1120587780': ['ML0703'], '1120587790': ['ML1001'], '1120587880': ['ML0601', 'ML0604'], '1120588270': ['ML0601', 'ML0604'], '1120588310': ['ML1002', 'ML1003'], '1120588700': ['ML0603'], '1120588980': ['ML1002', 'ML1003'], '1120589130': ['ML1002'], '1120589730': ['ML0604'], '1120589740': ['ML0603'], '1120589750': ['ML0703'], '1120590180': ['ML0604'], '1120590190': ['ML1001', 'ML0701'], '1120590750': ['ML0604'], '1120591050': ['ML0603'], '1120591190': ['ML0604'], '1120591200': ['ML1001'], '1120591220': ['ML1002'], '1120591420': ['ML0604'], '1120591560': ['ML0604'], '1120591740': ['ML0604'], '1120591770': ['ML1001'], '1120592240': ['ML1001', 'ML0701'], '1120592250': ['ML1001', 'ML0701'], '1120592350': ['ML1002'], '1120592790': ['ML0703'], '1120593030': ['ML0604'], '1120593040': ['ML0504', 'ML0603', 'ML0604'], '1120593050': ['ML1001'], '1120593470': ['ML0701', 'ML0703'], '1120594180': ['ML0603'], '1120594190': ['ML1002'], '1120594490': ['ML0701', 'ML0703'], '1120594520': ['ML1002'], '1120595390': ['ML0604'], '1120595410': ['ML1002'], '1120595660': ['ML1001'], '1120595690': ['ML1002'], '1120595820': ['ML0604'], '1120595960': ['ML1001'], '1120596090': ['ML1001', 'ML0701'], '1120596100': ['ML1001'], '1120596260': ['ML0604'], '1120596300': ['ML1001'], '1120596680': ['ML0701'], '1120596900': ['ML0508', 'ML0604'], '1120596910': ['ML0701'], '1120597170': ['ML1001'], '1120597370': ['ML0701'], '1120597480': ['ML0604'], '1120597500': ['ML1001'], '1120597890': ['ML0604'], '1120598090': ['ML1002'], '1120598250': ['ML0604'], '1120598480': ['ML0603'], '1120599220': ['ML0604'], '1120599600': ['ML0701'], '1120599620': ['ML1002'], '1120600140': ['ML1001'], '1120600480': ['ML0604'], '1120600830': ['ML0604'], '1120601080': ['ML1001', 'ML0701'], '1120601110': ['ML1002'], '1120601830': ['ML1001', 'ML0701'], '1120602200': ['ML0504', 'ML0604'], '1120602230': ['ML1001'], '1120602680': ['ML0701'], '1120602870': ['ML1002'], '1120603030': ['ML0508', 'ML0604'], '1120603340': ['ML0508', 'ML0604'], '1120603370': ['ML1002'], '1120603580': ['ML0504'], '1120603600': ['ML1002'], '1120603890': ['ML0508'], '1120603910': ['ML1002'], '1120604170': ['ML0508', 'ML0604'], '1120604190': ['ML0701'], '1120604370': ['ML0504'], '1120604770': ['ML0508'], '1120605370': ['ML1001'], '1120605610': ['ML0404', 'ML0508', 'ML0604', 'ML0602'], '1120605720': ['ML0703'], '1120605730': ['ML1002'], '1120605790': ['ML0703'], '1120605800': ['ML1001'], '1120605930': ['ML0703'], '1120606420': ['ML0404', 'ML0508'], '1120606590': ['ML0404', 'ML0508'], '1120606620': ['ML0703'], '1120606800': ['ML0701'], '1120606910': ['ML0603', 'ML0703'], '1120606920': ['ML0703'], '1120607100': ['ML0508'], '1120607120': ['ML0701'], '1120607270': ['ML0404', 'ML0508'], '1120608260': ['ML0703'], '1120608270': ['ML0701'], '1120608280': ['ML0701'], '1120608450': ['ML0701'], '1120609020': ['ML1001'], '1120609100': ['ML0508'], '1120609250': ['ML0701'], '1120609270': ['ML0701'], '1120609400': ['ML0508'], '1120609580': ['ML0504', 'ML0603'], '1120609590': ['ML0701', 'ML0703'], '1120609790': ['ML0504'], '1120609940': ['ML0504'], '1120609950': ['ML1001'], '1120610400': ['ML1002'], '1120610540': ['ML0103'], '1120610710': ['ML0701', 'ML0703'], '1120610850': ['ML0701'], '1120611050': ['ML0603'], '1120611180': ['ML0603'], '1120611190': ['ML0603'], '1120611200': ['ML0603'], '1120611650': ['ML0504'], '1120611660': ['ML0701'], '1120612020': ['ML0701'], '1120612370': ['ML0504'], '1120613290': ['ML0508'], '1120613300': ['ML0504'], '1120613430': ['ML0504'], '1120613460': ['ML0603'], '1120614120': ['ML0701'], '1120614290': ['ML0508'], '1120614820': ['ML0404'], '1120614850': ['ML0701'], '1120614860': ['ML0701'], '1120615070': ['ML0504'], '1120615200': ['ML0504'], '1120615740': ['ML0504'], '1120616130': ['ML0504'], '1120616150': ['ML0701'], '1120616250': ['ML0508'], '1120616410': ['ML0701'], '1120616420': ['ML0701'], '1120616500': ['ML0504'], '1120616670': ['ML0207'], '1120616690': ['ML0504'], '1120616700': ['ML0504'], '1120617070': ['ML0703'], '1120617160': ['ML0103'], '1120617360': ['ML0701'], '1120617570': ['ML0703'], '1120617870': ['ML0404'], '1120617880': ['ML0701'], '1120617930': ['ML0701'], '1120618270': ['ML0508'], '1120618560': ['ML0507', 'ML0508'], '1120618570': ['ML0506', 'ML0508'], '1120618670': ['ML0107'], '1120618790': ['ML0107'], '1120618800': ['ML0404'], '1120619400': ['ML0207'], '1120619810': ['ML0103'], '1120619820': ['ML0507'], '1120619920': ['ML0107'], '1120619930': ['ML0508'], '1120620140': ['ML0504'], '1120620420': ['ML0107', 'ML0106'], '1120620550': ['ML0506'], '1120620950': ['ML0107'], '1120620980': ['ML0207'], '1120621160': ['ML0507'], '1120621340': ['ML0506'], '1120621490': ['ML0107'], '1120621510': ['ML0507', 'ML0404'], '1120621520': ['ML0701'], '1120621820': ['ML0107'], '1120621980': ['ML0701'], '1120622370': ['ML0504'], '1120622540': ['ML0506'], '1120623020': ['ML0507', 'ML0404'], '1120623040': ['ML0504', 'ML0603'], '1120623900': ['ML0107', 'ML0106'], '1120623920': ['ML0504'], '1120623930': ['ML0504', 'ML0603'], '1120624050': ['ML0106'], '1120624420': ['ML0103', 'ML0107'], '1120624560': ['ML0507', 'ML0404'], '1120624690': ['ML0207'], '1120624700': ['ML0207'], '1120624920': ['ML0507', 'ML0508'], '1120625000': ['ML0504'], '1120625010': ['ML0701'], '1120625310': ['ML0504'], '1120625570': ['ML0207'], '1120625970': ['ML0207'], '1120626120': ['ML0207'], '1120626130': ['ML0507'], '1120626240': ['ML0207'], '1120626260': ['ML0504'], '1120626430': ['ML0404'], '1120626460': ['ML0504'], '1120626560': ['ML0103'], '1120626670': ['ML0103'], '1120626700': ['ML0106'], '1120626730': ['ML0207'], '1120626740': ['ML0404'], '1120626870': ['ML0106'], '1120627060': ['ML0106'], '1120627170': ['ML0106'], '1120627280': ['ML0106'], '1120627290': ['ML0504'], '1120627430': ['ML0106'], '1120627450': ['ML0106'], '1120627460': ['ML0102', 'ML0106'], '1120627470': ['ML0504'], '1120627480': ['ML0504'], '1120627660': ['ML0207'], '1120627670': ['ML0404'], '1120627850': ['ML0106'], '1120627860': ['ML0404'], '1120627960': ['ML0506'], '1120627980': ['ML0504'], '1120628110': ['ML0106'], '1120628120': ['ML0207'], '1120628260': ['ML0207'], '1120628330': ['ML0207'], '1120628350': ['ML0207'], '1120628510': ['ML0207'], '1120628520': ['ML0207'], '1120628530': ['ML0404'], '1120628540': ['ML0507'], '1120628550': ['ML0507'], '1120628680': ['ML0207'], '1120628730': ['ML0504'], '1120629420': ['ML0404'], '1120629430': ['ML0504'], '1120630150': ['ML0207'], '1120630290': ['ML0504'], '1120630440': ['ML0103'], '1120630620': ['ML0103'], '1120630640': ['ML0207'], '1120630800': ['ML0207'], '1120630930': ['ML0507'], '1120631400': ['ML0507'], '1120631550': ['ML0404'], '1120631730': ['ML0507'], '1120631740': ['ML0507'], '1120631890': ['ML0504'], '1120632060': ['ML0504'], '1120632070': ['ML0504'], '1120632490': ['ML0504'], '1120632620': ['ML0404'], '1120632630': ['ML0506'], '1120633370': ['ML0103'], '1120633580': ['ML0207'], '1120633600': ['ML0506'], '1120634230': ['ML0404'], '1120634240': ['ML0507'], '1120634440': ['ML0507'], '1120634800': ['ML0207'], '1120634810': ['ML0506'], '1120635400': ['ML0207'], '1120635720': ['ML0103'], '1120635740': ['ML0102'], '1120636080': ['ML0507'], '1120636160': ['ML0103'], '1120636170': ['ML0207'], '1120636660': ['ML0207'], '1120636820': ['ML0102', 'ML0207'], '1120636970': ['ML0102', 'ML0207'], '1120637330': ['ML0207'], '1120637340': ['ML0404'], '1120637510': ['ML0507'], '1120637690': ['ML0102', 'ML0207'], '1120637880': ['ML0504'], '1120638180': ['ML0102'], '1120638320': ['ML0103'], '1120638470': ['ML0103'], '1120638490': ['ML0102'], '1120638510': ['ML0207'], '1120638530': ['ML0507'], '1120638640': ['ML0507'], '1120638930': ['ML0103'], '1120639070': ['ML0103'], '1120639310': ['ML0103'], '1120639320': ['ML0103'], '1120639330': ['ML0101'], '1120639350': ['ML0207'], '1120639370': ['ML0504'], '1120639480': ['ML0505'], '1120639620': ['ML0103'], '1120639840': ['ML0101', 'ML0103'], '1120639850': ['ML0501'], '1120639990': ['ML0102'], '1120640000': ['ML0404'], '1120640160': ['ML0103'], '1120640190': ['ML0102'], '1120640350': ['ML0102'], '1120640370': ['ML0507'], '1120640580': ['ML0102'], '1120640680': ['ML0103'], '1120640840': ['ML0103'], '1120641440': ['ML0507'], '1120641630': ['ML0103'], '1120641640': ['ML0102'], '1120641660': ['ML0506'], '1120641680': ['ML0501', 'ML0506'], '1120642000': ['ML0103'], '1120642010': ['ML0207', 'ML0404'], '1120642020': ['ML0507', 'ML0506'], '1120642140': ['ML0404'], '1120642160': ['ML0506'], '1120642490': ['ML0103'], '1120642990': ['ML0101'], '1120643020': ['ML0207'], '1120643170': ['ML0207'], '1120643390': ['ML0102'], '1120643540': ['ML0103'], '1120643800': ['ML0103'], '1120643820': ['ML0501'], '1120643950': ['ML0501'], '1120644110': ['ML0406', 'ML0207'], '1120644270': ['ML0103'], '1120644470': ['ML0103'], '1120644480': ['ML0103'], '1120644490': ['ML0103'], '1120644500': ['ML0507'], '1120644510': ['ML0506'], '1120644620': ['ML0507'], '1120644920': ['ML0103'], '1120645180': ['ML0102'], '1120645190': ['ML0506'], '1120645630': ['ML0101'], '1120645770': ['ML0105', 'ML0102'], '1120646000': ['ML0507'], '1120646230': ['ML0105', 'ML0102'], '1120646630': ['ML0207'], '1120646780': ['ML0207'], '1120646950': ['ML0105', 'ML0102'], '1120646960': ['ML0501'], '1120646970': ['ML0501'], '1120647210': ['ML0103'], '1120647330': ['ML0201', 'ML0207'], '1120647580': ['ML0101'], '1120647600': ['ML0506'], '1120647730': ['ML0101', 'ML0102'], '1120647860': ['ML0101'], '1120647880': ['ML0101', 'ML0102'], '1120647910': ['ML0505'], '1120648120': ['ML0403', 'ML0404'], '1120648650': ['ML0105', 'ML0102'], '1120648910': ['ML0403', 'ML0404'], '1120649070': ['ML0103'], '1120649770': ['ML0406'], '1120650110': ['ML0201', 'ML0207'], '1120650150': ['ML0505'], '1120650510': ['ML0403'], '1120650760': ['ML0101'], '1120650770': ['ML0406'], '1120650880': ['ML0103'], '1120651040': ['ML0505'], '1120651140': ['ML0103'], '1120651160': ['ML0506'], '1120652080': ['ML0205', 'ML0201'], '1120652110': ['ML0503', 'ML0506'], '1120652930': ['ML0201', 'ML0207'], '1120653070': ['ML0105', 'ML0205'], '1120653220': ['ML0406'], '1120653430': ['ML0101'], '1120653920': ['ML0205'], '1120653930': ['ML0201'], '1120653940': ['ML0201'], '1120654250': ['ML0503', 'ML0506'], '1120654440': ['ML0406'], '1120654450': ['ML0503', 'ML0506'], '1120655200': ['ML0404'], '1120655490': ['ML0105', 'ML0101'], '1120655670': ['ML0201'], '1120655680': ['ML0406', 'ML0201'], '1120655880': ['ML0503'], '1120656040': ['ML0105', 'ML0205'], '1120656050': ['ML0205'], '1120656400': ['ML0201'], '1120656520': ['ML0205'], '1120656740': ['ML0101'], '1120656870': ['ML0403', 'ML0507'], '1120657320': ['ML0103'], '1120657440': ['ML0205'], '1120657550': ['ML0403', 'ML0507'], '1120657740': ['ML0505'], '1120657830': ['ML0103'], '1120657850': ['ML0404'], '1120657960': ['ML0205', 'ML0201'], '1120657990': ['ML0505'], '1120658110': ['ML0503', 'ML0506'], '1120658270': ['ML0201'], '1120658280': ['ML0505'], '1120658790': ['ML0406'], '1120659170': ['ML0505'], '1120659180': ['ML0505'], '1120659570': ['ML0103'], '1120659990': ['ML0503', 'ML0506'], '1120660180': ['ML0105'], '1120660330': ['ML0101'], '1120660570': ['ML0105'], '1120660580': ['ML0403'], '1120660860': ['ML0503'], '1120661020': ['ML0101'], '1120661040': ['ML0201'], '1120661190': ['ML0101'], '1120661200': ['ML0105'], '1120661220': ['ML0503', 'ML0506'], '1120661290': ['ML0105'], '1120661440': ['ML0105'], '1120661550': ['ML0105'], '1120661570': ['ML0105'], '1120661810': ['ML0105'], '1120661820': ['ML0105', 'ML0205'], '1120662020': ['ML0101'], '1120662030': ['ML0406', 'ML0404'], '1120662040': ['ML0502'], '1120662150': ['ML0103'], '1120662160': ['ML0105', 'ML0205'], '1120662170': ['ML0503'], '1120662370': ['ML0505'], '1120662450': ['ML0103'], '1120662460': ['ML0503'], '1120662570': ['ML0105'], '1120662940': ['ML0105'], '1120663010': ['ML0105', 'ML0205'], '1120663210': ['ML0201'], '1120663220': ['ML0505'], '1120663330': ['ML0103'], '1120663340': ['ML0406'], '1120663550': ['ML0105'], '1120664010': ['ML0105'], '1120664030': ['ML0505'], '1120664620': ['ML0105'], '1120664760': ['ML0503'], '1120664890': ['ML0201'], '1120665270': ['ML0105', 'ML0205'], '1120665450': ['ML0201'], '1120665680': ['ML0103'], '1120665690': ['ML0105'], '1120665700': ['ML0201'], '1120665730': ['ML0503'], '1120665930': ['ML0105'], '1120666250': ['ML0105'], '1120666260': ['ML0406'], '1120666270': ['ML0407', 'ML0502', 'ML0501'], '1120666450': ['ML0101', 'ML0103'], '1120666460': ['ML0101', 'ML0103'], '1120666470': ['ML0201'], '1120666620': ['ML0105', 'ML0205'], '1120666640': ['ML0503'], '1120666890': ['ML0101'], '1120666920': ['ML0201'], '1120667130': ['ML0201'], '1120667360': ['ML0101'], '1120667560': ['ML0101'], '1120667570': ['ML0205'], '1120667880': ['ML0105'], '1120668080': ['ML0105'], '1120668110': ['ML0505'], '1120668220': ['ML0101'], '1120668310': ['ML0403'], '1120668430': ['ML0503'], '1120668580': ['ML0407'], '1120668750': ['ML0503'], '1120668890': ['ML0407'], '1120668900': ['ML0505'], '1120669370': ['ML0101', 'ML0103'], '1120669410': ['ML0403'], '1120669420': ['ML0407'], '1120669690': ['ML0101', 'ML0103'], '1120669700': ['ML0205'], '1120669950': ['ML0105'], '1120670290': ['ML0205'], '1120670530': ['ML0502'], '1120670650': ['ML0406'], '1120671040': ['ML0105'], '1120671050': ['ML0105'], '1120671150': ['ML0105'], '1120671380': ['ML0101'], '1120671410': ['ML0101'], '1120671550': ['ML0101'], '1120671560': ['ML0105'], '1120671750': ['ML0403'], '1120671900': ['ML0406', 'ML0403'], '1120671910': ['ML0406', 'ML0403'], '1120671920': ['ML0503'], '1120672510': ['ML0105', 'ML0205'], '1120673030': ['ML0101'], '1120673060': ['ML0502'], '1120673240': ['ML0406'], '1120673440': ['ML0101'], '1120673450': ['ML0101'], '1120673460': ['ML0105', 'ML0205'], '1120673470': ['ML0406'], '1120673740': ['ML0407'], '1120673890': ['ML0101'], '1120673900': ['ML0101'], '1120674630': ['ML0405', 'ML0503'], '1120674800': ['ML0105', 'ML0205'], '1120674900': ['ML0103'], '1120674920': ['ML0101'], '1120674930': ['ML0101'], '1120675110': ['ML0105'], '1120675120': ['ML0406'], '1120675320': ['ML0405', 'ML0403'], '1120675440': ['ML0103'], '1120675450': ['ML0101'], '1120675460': ['ML0101'], '1120675470': ['ML0406'], '1120676440': ['ML0105'], '1120676680': ['ML0105'], '1120676810': ['ML0101'], '1120676840': ['ML0405'], '1120677030': ['ML0205'], '1120677520': ['ML0105'], '1120677670': ['ML0406'], '1120677900': ['ML0105', 'ML0101'], '1120677910': ['ML0405'], '1120678060': ['ML0101'], '1120678070': ['ML0105'], '1120679250': ['ML0204', 'ML0105', 'ML0205'], '1120679750': ['ML0101'], '1120679780': ['ML0406'], '1120679900': ['ML0204', 'ML0105', 'ML0205'], '1120680040': ['ML0101'], '1120680250': ['ML0204', 'ML0205'], '1120680440': ['ML0405', 'ML0407'], '1120681230': ['ML0101'], '1120681490': ['ML0204', 'ML0205'], '1120681510': ['ML0405', 'ML0406'], '1120681700': ['ML0101'], '1120681730': ['ML0105'], '1120681900': ['ML0105', 'ML0101'], '1120682030': ['ML0101'], '1120682040': ['ML0105'], '1120682230': ['ML0405', 'ML0407'], '1120682720': ['ML0204', 'ML0105'], '1120682870': ['ML0105', 'ML0101'], '1120682900': ['ML0405'], '1120683000': ['ML0204', 'ML0205'], '1120683440': ['ML0204', 'ML0105'], '1120683450': ['ML0206'], '1120683650': ['ML0105'], '1120683670': ['ML0206', 'ML0205'], '1120683750': ['ML0405'], '1120684180': ['ML0101'], '1120684520': ['ML0101'], '1120684640': ['ML0206', 'ML0401'], '1120684820': ['ML0405'], '1120684830': ['ML0405'], '1120685060': ['ML0406'], '1120685070': ['ML0405'], '1120685220': ['ML0206', 'ML0401'], '1120685600': ['ML0101'], '1120685890': ['ML0104'], '1120686300': ['ML0205'], '1120686430': ['ML0105'], '1120687330': ['ML0401'], '1120687340': ['ML0401'], '1120687350': ['ML0402', 'ML0406'], '1120687650': ['ML0402', 'ML0405', 'ML0406'], '1120688060': ['ML0405', 'ML0407'], '1120688340': ['ML0502'], '1120688460': ['ML0204', 'ML0105'], '1120688690': ['ML0206', 'ML0205'], '1120688870': ['ML0206', 'ML0205'], '1120688880': ['ML0206', 'ML0401'], '1120689060': ['ML0105'], '1120689070': ['ML0105'], '1120689080': ['ML0206', 'ML0205'], '1120689090': ['ML0206', 'ML0401'], '1120689180': ['ML0101'], '1120689210': ['ML0402', 'ML0406'], '1120689430': ['ML0101'], '1120689440': ['ML0105'], '1120689470': ['ML0204', 'ML0205'], '1120689480': ['ML0401'], '1120689830': ['ML0206', 'ML0401'], '1120689850': ['ML0402', 'ML0406'], '1120689980': ['ML0105'], '1120690000': ['ML0402', 'ML0406'], '1120690130': ['ML0402', 'ML0406'], '1120690300': ['ML0402', 'ML0406'], '1120690510': ['ML0206'], '1120690730': ['ML0401', 'ML0406'], '1120690900': ['ML0402', 'ML0406'], '1120691130': ['ML0204', 'ML0105'], '1120691160': ['ML0405', 'ML0407'], '1120691400': ['ML0502'], '1120691540': ['ML0402', 'ML0406'], '1120691660': ['ML0204'], '1120692310': ['ML0407'], '1120692440': ['ML0101'], '1120692550': ['ML0101'], '1120692570': ['ML0206'], '1120692820': ['ML0101'], '1120693340': ['ML0104'], '1120693600': ['ML0206'], '1120693800': ['ML0101'], '1120693950': ['ML0101'], '1120694100': ['ML0206'], '1120694110': ['ML0407'], '1120694300': ['ML0104', 'ML0101'], '1120694600': ['ML0402', 'ML0406'], '1120694610': ['ML0402'], '1120694990': ['ML0204', 'ML0105'], '1120695240': ['ML0206'], '1120695630': ['ML0206'], '1120696030': ['ML0101'], '1120696310': ['ML0105'], '1120696830': ['ML0206'], '1120696840': ['ML0402', 'ML0401', 'ML0406'], '1120697160': ['ML0206'], '1120697620': ['ML0204', 'ML0105'], '1120697630': ['ML0206'], '1120697730': ['ML0105'], '1120697740': ['ML0105'], '1120697760': ['ML0405', 'ML0407'], '1120698040': ['ML0402'], '1120698390': ['ML0105'], '1120698600': ['ML0105'], '1120698610': ['ML0401'], '1120699220': ['ML0405', 'ML0407'], '1120699410': ['ML0101'], '1120699620': ['ML0101'], '1120699850': ['ML0402'], '1120700000': ['ML0206'], '1120700030': ['ML0402'], '1120700210': ['ML0105'], '1120700220': ['ML0105'], '1120700240': ['ML0206'], '1120700250': ['ML0206'], '1120700420': ['ML0204'], '1120700680': ['ML0204', 'ML0206'], '1120700840': ['ML0104'], '1120701160': ['ML0402', 'ML0401'], '1120701180': ['ML0304', 'ML0402', 'ML0405'], '1120701570': ['ML0105'], '1120702100': ['ML0101'], '1120702240': ['ML0101'], '1120702250': ['ML0105'], '1120702620': ['ML0105'], '1120702630': ['ML0105'], '1120702650': ['ML0204', 'ML0105'], '1120703110': ['ML0204'], '1120703660': ['ML0101'], '1120703670': ['ML0101'], '1120703920': ['ML0105'], '1120704050': ['ML0105'], '1120704600': ['ML0101'], '1120704610': ['ML0105'], '1120704760': ['ML0104', 'ML0105', 'ML0101'], '1120704900': ['ML0104', 'ML0105', 'ML0101'], '1120705070': ['ML0206'], '1120705080': ['ML0307', 'ML0405', 'ML0407'], '1120705240': ['ML0206'], '1120705440': ['ML0104', 'ML0105', 'ML0101'], '1120705580': ['ML0304', 'ML0405'], '1120705730': ['ML0307', 'ML0405', 'ML0407'], '1120705940': ['ML0105'], '1120705950': ['ML0105'], '1120706170': ['ML0105'], '1120706180': ['ML0105'], '1120706350': ['ML0402', 'ML0401'], '1120706520': ['ML0105'], '1120706530': ['ML0402', 'ML0401'], '1120706730': ['ML0307', 'ML0407'], '1120706900': ['ML0204', 'ML0105'], '1120707170': ['ML0304', 'ML0405'], '1120707570': ['ML0402', 'ML0401'], '1120707730': ['ML0105'], '1120707850': ['ML0304', 'ML0405'], '1120707970': ['ML0104', 'ML0101'], '1120707980': ['ML0104', 'ML0105'], '1120707990': ['ML0204', 'ML0105'], '1120708000': ['ML0204', 'ML0105'], '1120708130': ['ML0104', 'ML0101'], '1120708810': ['ML0402', 'ML0401'], '1120709490': ['ML0304'], '1120709510': ['ML0307', 'ML0405'], '1120709750': ['ML0204', 'ML0105'], '1120709950': ['ML0105'], '1120710240': ['ML0202', 'ML0402', 'ML0401'], '1120710930': ['ML0104', 'ML0105'], '1120711110': ['ML0204'], '1120711120': ['ML0204'], '1120711150': ['ML0307', 'ML0405'], '1120711290': ['ML0204'], '1120711310': ['ML0402'], '1120712000': ['ML0307', 'ML0405'], '1120712100': ['ML0105'], '1120712360': ['ML0204'], '1120712710': ['ML0204'], '1120712740': ['ML0304', 'ML0405'], '1120712890': ['ML0204'], '1120712910': ['ML0202'], '1120713090': ['ML0204'], '1120713430': ['ML0202', 'ML0402'], '1120713810': ['ML0105'], '1120713990': ['ML0104', 'ML0105'], '1120714260': ['ML0105'], '1120714560': ['ML0202'], '1120714730': ['ML0304'], '1120714890': ['ML0204', 'ML0105'], '1120714900': ['ML0204', 'ML0901'], '1120715340': ['ML0202'], '1120715970': ['ML0204'], '1120715980': ['ML0204'], '1120716000': ['ML0202'], '1120716140': ['ML0202'], '1120716370': ['ML0105'], '1120716510': ['ML0204'], '1120716930': ['ML0202'], '1120717080': ['ML0202'], '1120717590': ['ML0204', 'ML0901'], '1120717700': ['ML0202'], '1120717710': ['ML0202'], '1120717720': ['ML0202'], '1120717980': ['ML0204', 'ML0901'], '1120718150': ['ML0104', 'ML0105'], '1120718190': ['ML0202'], '1120718200': ['ML0304', 'ML0405'], '1120718480': ['ML0104'], '1120718500': ['ML0202'], '1120718910': ['ML0104'], '1120718920': ['ML0105'], '1120719200': ['ML0104'], '1120719300': ['ML0105'], '1120719310': ['ML0105'], '1120719480': ['ML0202'], '1120719720': ['ML0105'], '1120719840': ['ML0105'], '1120720050': ['ML0202'], '1120720250': ['ML0202', 'ML0304'], '1120721160': ['ML0104'], '1120721290': ['ML0204'], '1120721300': ['ML0304'], '1120721460': ['ML0104'], '1120721770': ['ML0301', 'ML0202'], '1120722020': ['ML0104'], '1120722180': ['ML0104'], '1120722200': ['ML0301', 'ML0202'], '1120722400': ['ML0202'], '1120722680': ['ML0104', 'ML0105'], '1120722900': ['ML0105'], '1120722910': ['ML0105'], '1120722920': ['ML0202', 'ML0304'], '1120723030': ['ML0104', 'ML0105'], '1120723040': ['ML0204'], '1120723240': ['ML0202', 'ML0304'], '1120723250': ['ML0202', 'ML0304'], '1120723380': ['ML0202'], '1120724310': ['ML0104'], '1120724320': ['ML0105'], '1120724330': ['ML0105'], '1120724680': ['ML0204'], '1120724830': ['ML0104'], '1120726130': ['ML0105'], '1120726300': ['ML0202', 'ML0304'], '1120726500': ['ML0104', 'ML0105'], '1120726900': ['ML0104'], '1120726910': ['ML0301', 'ML0202'], '1120727280': ['ML0105'], '1120727290': ['ML0105'], '1120727300': ['ML0204'], '1120727660': ['ML0204'], '1120727970': ['ML0104', 'ML0105'], '1120728250': ['ML0202'], '1120728560': ['ML0105'], '1120728760': ['ML0301', 'ML0202'], '1120728770': ['ML0301', 'ML0202'], '1120728930': ['ML0105'], '1120728950': ['ML0301', 'ML0202', 'ML0204'], '1120728960': ['ML0202'], '1120729190': ['ML0202', 'ML0305', 'ML0304'], '1120729430': ['ML0305', 'ML0304'], '1120729570': ['ML0104'], '1120729580': ['ML0204'], '1120729590': ['ML0204'], '1120729700': ['ML0104'], '1120729940': ['ML0104', 'ML0105'], '1120729950': ['ML0203'], '1120729960': ['ML0301', 'ML0202', 'ML0204'], '1120730140': ['ML0104'], '1120730150': ['ML0104'], '1120730460': ['ML0105'], '1120730650': ['ML0203'], '1120730840': ['ML0105'], '1120731010': ['ML0104'], '1120731020': ['ML0202', 'ML0305'], '1120731270': ['ML0104'], '1120731410': ['ML0104'], '1120731570': ['ML0204'], '1120731720': ['ML0202'], '1120731730': ['ML0202'], '1120732080': ['ML0105'], '1120732390': ['ML0105'], '1120732420': ['ML0202'], '1120732970': ['ML0104'], '1120732980': ['ML0301', 'ML0204'], '1120733370': ['ML0105'], '1120733820': ['ML0105'], '1120733900': ['ML0104'], '1120733920': ['ML0305', 'ML0304'], '1120734100': ['ML0105'], '1120734770': ['ML0301', 'ML0202'], '1120734820': ['ML0202', 'ML0305'], '1120734990': ['ML0202', 'ML0305'], '1120735330': ['ML0305', 'ML0304'], '1120735660': ['ML0105'], '1120735680': ['ML0305', 'ML0304'], '1120735690': ['ML0305', 'ML0304'], '1120735950': ['ML0203'], '1120736230': ['ML0203', 'ML0204'], '1120736540': ['ML0203', 'ML0204'], '1120736800': ['ML0104'], '1120737100': ['ML0203', 'ML0204'], '1120737520': ['ML0104'], '1120738120': ['ML0301', 'ML0204'], '1120738140': ['ML0301', 'ML0202'], '1120738150': ['ML0304'], '1120738320': ['ML0203', 'ML0204'], '1120738560': ['ML0305', 'ML0304'], '1120739050': ['ML0104'], '1120739060': ['ML0104'], '1120739090': ['ML0203'], '1120739110': ['ML0202', 'ML0305'], '1120739380': ['ML0301', 'ML0204'], '1120739800': ['ML0305', 'ML0304'], '1120739910': ['ML0301', 'ML0204'], '1120740080': ['ML0305', 'ML0304'], '1120741580': ['ML0305', 'ML0304'], '1120741590': ['ML0305', 'ML0304'], '1120741710': ['ML0202', 'ML0305'], '1120741720': ['ML0202', 'ML0305'], '1120741790': ['ML0305', 'ML0304'], '1120742920': ['ML0203'], '1120743410': ['ML0301'], '1120743810': ['ML0202', 'ML0305'], '1120744170': ['ML0203', 'ML0204'], '1120744580': ['ML0203'], '1120744600': ['ML0305', 'ML0304'], '1120744740': ['ML0203'], '1120744750': ['ML0203'], '1120744990': ['ML0202', 'ML0305'], '1120745160': ['ML0202', 'ML0305'], '1120745390': ['ML0301'], '1120746520': ['ML0301'], '1120747090': ['ML0305'], '1120747780': ['ML0301'], '1120748210': ['ML0203'], '1120748220': ['ML0301'], '1120748680': ['ML0203'], '1120748690': ['ML0306', 'ML0203', 'ML0204'], '1120749670': ['ML0305'], '1120750740': ['ML0301', 'ML0202', 'ML0305'], '1120751120': ['ML0301', 'ML0202', 'ML0305'], '1120751340': ['ML0305'], '1120751610': ['ML0301'], '1120751630': ['ML0305'], '1120751750': ['ML0301'], '1120752200': ['ML0305'], '1120752860': ['ML0301', 'ML0305'], '1120753110': ['ML0301'], '1120753120': ['ML0301'], '1120753520': ['ML0301', 'ML0305'], '1120753530': ['ML0301', 'ML0305'], '1120753720': ['ML0301'], '1120753730': ['ML0301'], '1120754480': ['ML0301'], '1120755450': ['ML0305'], '1120756360': ['ML0306', 'ML0203'], '1120758320': ['ML0301'], '1120758440': ['ML0301'], '1120758950': ['ML0303', 'ML0301', 'ML0305'], '1120759390': ['ML0303', 'ML0301', 'ML0305'], '1120759680': ['ML0303', 'ML0301', 'ML0305'], '1120760490': ['ML0303', 'ML0301'], '1120760630': ['ML0305'], '1120760640': ['ML0305'], '1120760650': ['ML0305'], '1120761040': ['ML0301'], '1120763240': ['ML0303', 'ML0305'], '1120764070': ['ML0301'], '1120764530': ['ML0303', 'ML0305'], '1120764550': ['ML0305'], '1120764870': ['ML0301'], '1120764880': ['ML0305'], '1120765350': ['ML0303', 'ML0305'], '1120765840': ['ML0305'], '1120766460': ['ML0306'], '1120766700': ['ML0306', 'ML0301'], '1120766810': ['ML0301'], '1120769340': ['ML0306'], '1120769890': ['ML0306', 'ML0301'], '1120770210': ['ML0306'], '1120771040': ['ML0303', 'ML0305'], '1120771890': ['ML0306', 'ML0301'], '1120772020': ['ML0303'], '1120772260': ['ML0303'], '1120772580': ['ML0305'], '1120774270': ['ML0303', 'ML0305'], '1120775120': ['ML0306'], '1120775680': ['ML0303'], '1120775880': ['ML0306'], '1120776340': ['ML0303'], '1120776760': ['ML0306', 'ML0301'], '1120777580': ['ML0306'], '1120777590': ['ML0303'], '1120778600': ['ML0306', 'ML0301'], '1120779390': ['ML0302', 'ML0305'], '1120779510': ['ML0303'], '1120779770': ['ML0302'], '1120779870': ['ML0302', 'ML0305'], '1120779990': ['ML0302'], '1120780240': ['ML0306', 'ML0301'], '1120780250': ['ML0302', 'ML0305'], '1120780530': ['ML0306'], '1120780540': ['ML0306'], '1120780550': ['ML0303', 'ML0302', 'ML0305'], '1120780560': ['ML0302', 'ML0305'], '1120780900': ['ML0303', 'ML0302', 'ML0305'], '1120781290': ['ML0302', 'ML0305'], '1120781490': ['ML0306', 'ML0301'], '1120782480': ['ML0306'], '1120783050': ['ML0301'], '1120783740': ['ML0303', 'ML0301'], '1120784270': ['ML0303', 'ML0301'], '1120784430': ['ML0303'], '1120784440': ['ML0303'], '1120784660': ['ML0303', 'ML0302'], '1120784870': ['ML0301'], '1120785340': ['ML0306', 'ML0301'], '1120785350': ['ML0302'], '1120785520': ['ML0306', 'ML0301'], '1120785540': ['ML0303'], '1120785950': ['ML0301'], '1120786380': ['ML0302'], '1120786990': ['ML0306'], '1120787010': ['ML0302'], '1120787150': ['ML0306'], '1120787170': ['ML0303', 'ML0301'], '1120788300': ['ML0303', 'ML0301'], '1120788560': ['ML0302'], '1120788820': ['ML0302'], '1120789240': ['ML0306'], '1120789450': ['ML0306', 'ML0301'], '1120791410': ['ML0306', 'ML0301'], '1120791820': ['ML0303', 'ML0301'], '1120793000': ['ML0306'], '1120793010': ['ML0301'], '1120793460': ['ML0306'], '1120794380': ['ML0306', 'ML0301'], '1120796030': ['ML0302'], '1120796190': ['ML0306', 'ML0301'], '1120797430': ['ML0306'], '1120797630': ['ML0303'], '1120797940': ['ML0302'], '1120798710': ['ML0301'], '1120799330': ['ML0303'], '1121749330': ['ML0605'], '1121801600': ['ML0605'], '1121816480': ['ML0605'], '1121818730': ['ML0605'], '1121819310': ['ML0605'], '1121830390': ['ML0602'], '1121830470': ['ML0802'], '1121834830': ['ML0702', 'ML0802'], '1121835270': ['ML0802'], '1121836460': ['ML0804'], '1121838070': ['ML0802'], '1121839340': ['ML1003'], '1121840160': ['ML0605'], '1121840170': ['ML0702'], '1121841450': ['ML0702'], '1121841500': ['ML1003'], '1121842020': ['ML0605'], '1121842590': ['ML1003'], '1121843060': ['ML0602'], '1121843470': ['ML0605'], '1121844840': ['ML1003'], '1121844910': ['ML1003'], '1121845300': ['ML0702'], '1121847490': ['ML1003'], '1121847590': ['ML0602'], '1121848030': ['ML1003'], '1121848210': ['ML0702'], '1121848430': ['ML1003'], '1121849050': ['ML0702'], '1121849550': ['ML0702'], '1121850030': ['ML1003'], '1121850580': ['ML0702'], '1121850950': ['ML0702'], '1121851680': ['ML0702'], '1121852270': ['ML0603'], '1121852820': ['ML0603'], '1121853410': ['ML0603', 'ML0605'], '1121853780': ['ML0603', 'ML0605'], '1121854000': ['ML0603'], '1121854220': ['ML0603'], '1121854350': ['ML0602'], '1121854820': ['ML0603', 'ML0605'], '1121855010': ['ML0602'], '1121855120': ['ML0602'], '1121855250': ['ML0602'], '1121855570': ['ML0603'], '1121855830': ['ML0703'], '1121856220': ['ML0602'], '1121856440': ['ML0602'], '1121856490': ['ML0603'], '1121856630': ['ML0603', 'ML0605'], '1121857000': ['ML0602'], '1121857220': ['ML0703'], '1121857430': ['ML0603'], '1121857720': ['ML0603'], '1121857860': ['ML0603'], '1121858150': ['ML0603'], '1121858650': ['ML0602'], '1121859400': ['ML0603'], '1121859690': ['ML0602'], '1121859700': ['ML1004'], '1121859890': ['ML0602'], '1121860750': ['ML0602'], '1121861150': ['ML0602'], '1121862050': ['ML0601'], '1121862110': ['ML0603'], '1121862400': ['ML1001', 'ML0701'], '1121862720': ['ML0703'], '1121863320': ['ML0703'], '1121864920': ['ML0701'], '1121865150': ['ML1001', 'ML0701'], '1121865370': ['ML0701', 'ML0703'], '1121865950': ['ML1001', 'ML1003'], '1121866060': ['ML1001'], '1121866140': ['ML0701'], '1121867220': ['ML0701'], '1121867500': ['ML0701'], '1121867640': ['ML0701'], '1121869140': ['ML0604', 'ML0602'], '1121869890': ['ML1002'], '1121869980': ['ML0701'], '1121870020': ['ML0504', 'ML0604'], '1121870490': ['ML0508', 'ML0604'], '1121870500': ['ML0604'], '1121870830': ['ML1002'], '1121872260': ['ML1001', 'ML0701'], '1121872360': ['ML0404', 'ML0602'], '1121872840': ['ML1002'], '1121872870': ['ML1001', 'ML0701'], '1121873010': ['ML0701'], '1121873350': ['ML0504'], '1121873650': ['ML1002'], '1121874520': ['ML0106'], '1121874830': ['ML1002'], '1121874880': ['ML0701'], '1121875740': ['ML0701'], '1121875790': ['ML0504'], '1121876500': ['ML0508'], '1121876780': ['ML0504'], '1121876860': ['ML0504'], '1121877040': ['ML0701'], '1121877200': ['ML0504'], '1121877770': ['ML0504'], '1121877900': ['ML0701'], '1121878070': ['ML0507', 'ML0508'], '1121878260': ['ML0107'], '1121878870': ['ML0701'], '1121879220': ['ML0106'], '1121879830': ['ML0507', 'ML0404'], '1121879860': ['ML0107'], '1121879870': ['ML0506', 'ML0508'], '1121879920': ['ML0504'], '1121879970': ['ML0507', 'ML0404'], '1121879980': ['ML0507', 'ML0506', 'ML0508'], '1121880270': ['ML0701'], '1121880360': ['ML0504'], '1121880500': ['ML0103', 'ML0107'], '1121880720': ['ML0207'], '1121880730': ['ML0507', 'ML0404'], '1121880840': ['ML0207'], '1121880970': ['ML0207'], '1121881070': ['ML0507', 'ML0404'], '1121881080': ['ML0506'], '1121881440': ['ML0404'], '1121881700': ['ML0106'], '1121882160': ['ML0103'], '1121882230': ['ML0207'], '1121882410': ['ML0504'], '1121882790': ['ML0507'], '1121882940': ['ML0207'], '1121882950': ['ML0504'], '1121883200': ['ML0207'], '1121883210': ['ML0507'], '1121883310': ['ML0504'], '1121883900': ['ML0207'], '1121884010': ['ML0404'], '1121884390': ['ML0102'], '1121884590': ['ML0507'], '1121884990': ['ML0107'], '1121885010': ['ML0504'], '1121885080': ['ML0207'], '1121885290': ['ML0207'], '1121885370': ['ML0504'], '1121885420': ['ML0101', 'ML0103', 'ML0107'], '1121885620': ['ML0207'], '1121886020': ['ML0506'], '1121886030': ['ML0504'], '1121886210': ['ML0507'], '1121886260': ['ML0103'], '1121886330': ['ML0507'], '1121886340': ['ML0505'], '1121887040': ['ML0404'], '1121887260': ['ML0102'], '1121887380': ['ML0501'], '1121887460': ['ML0207'], '1121887780': ['ML0403', 'ML0507'], '1121887790': ['ML0507'], '1121887900': ['ML0102'], '1121887990': ['ML0501'], '1121888000': ['ML0505'], '1121888050': ['ML0102'], '1121888250': ['ML0404'], '1121888350': ['ML0207'], '1121888360': ['ML0507', 'ML0506'], '1121888470': ['ML0102'], '1121888710': ['ML0101'], '1121888730': ['ML0403', 'ML0404'], '1121888820': ['ML0102'], '1121889070': ['ML0406'], '1121889260': ['ML0102'], '1121889380': ['ML0404'], '1121889530': ['ML0103'], '1121889650': ['ML0506'], '1121889730': ['ML0403', 'ML0507'], '1121889810': ['ML0207'], '1121890090': ['ML0103'], '1121890100': ['ML0105', 'ML0102'], '1121890110': ['ML0404'], '1121890140': ['ML0506'], '1121890200': ['ML0101'], '1121890500': ['ML0103'], '1121890510': ['ML0105', 'ML0205', 'ML0102'], '1121890720': ['ML0103'], '1121890800': ['ML0103'], '1121891110': ['ML0505'], '1121891280': ['ML0503'], '1121891450': ['ML0404'], '1121891570': ['ML0105', 'ML0102'], '1121891870': ['ML0503', 'ML0507'], '1121891920': ['ML0103'], '1121892020': ['ML0105', 'ML0102'], '1121892440': ['ML0503', 'ML0507'], '1121892630': ['ML0103'], '1121892640': ['ML0205', 'ML0201'], '1121892850': ['ML0105', 'ML0102'], '1121892910': ['ML0103'], '1121893090': ['ML0507'], '1121893130': ['ML0105', 'ML0102'], '1121893280': ['ML0101'], '1121893390': ['ML0105', 'ML0205'], '1121893580': ['ML0103'], '1121893730': ['ML0103'], '1121893740': ['ML0105'], '1121893880': ['ML0403'], '1121893950': ['ML0201'], '1121894010': ['ML0105', 'ML0101'], '1121894460': ['ML0105'], '1121894470': ['ML0105'], '1121894900': ['ML0205'], '1121894970': ['ML0205'], '1121895430': ['ML0503', 'ML0403'], '1121895500': ['ML0105'], '1121895580': ['ML0403'], '1121895690': ['ML0105', 'ML0205'], '1121895840': ['ML0403'], '1121895950': ['ML0103'], '1121896100': ['ML0103'], '1121896230': ['ML0105', 'ML0205'], '1121896320': ['ML0103'], '1121896370': ['ML0105'], '1121896390': ['ML0403'], '1121896450': ['ML0101'], '1121896810': ['ML0105', 'ML0205'], '1121896880': ['ML0201'], '1121897330': ['ML0403'], '1121897340': ['ML0503'], '1121897430': ['ML0505'], '1121897510': ['ML0105', 'ML0205'], '1121897620': ['ML0101'], '1121897710': ['ML0503', 'ML0403'], '1121898220': ['ML0105', 'ML0101'], '1121898390': ['ML0101'], '1121898520': ['ML0105'], '1121898580': ['ML0105', 'ML0101'], '1121898650': ['ML0105', 'ML0205'], '1121898720': ['ML0403'], '1121898800': ['ML0101'], '1121898920': ['ML0101'], '1121899050': ['ML0101'], '1121899110': ['ML0101'], '1121899210': ['ML0105'], '1121899250': ['ML0407', 'ML0502'], '1121899510': ['ML0406'], '1121899570': ['ML0105'], '1121899800': ['ML0406'], '1121900020': ['ML0105', 'ML0101'], '1121900350': ['ML0406'], '1121900400': ['ML0105'], '1121900510': ['ML0406'], '1121900570': ['ML0105'], '1121900700': ['ML0405', 'ML0503'], '1121900800': ['ML0101'], '1121901020': ['ML0405', 'ML0503', 'ML0403'], '1121901130': ['ML0205', 'ML0201'], '1121901200': ['ML0101'], '1121901370': ['ML0205'], '1121901670': ['ML0105'], '1121901680': ['ML0205'], '1121901820': ['ML0205'], '1121901960': ['ML0104', 'ML0103'], '1121902020': ['ML0104', 'ML0103'], '1121902250': ['ML0101'], '1121902260': ['ML0105'], '1121902270': ['ML0105'], '1121902350': ['ML0105'], '1121902580': ['ML0105'], '1121902750': ['ML0405'], '1121902930': ['ML0502'], '1121903010': ['ML0405'], '1121903350': ['ML0105'], '1121903540': ['ML0405', 'ML0406', 'ML0403'], '1121903600': ['ML0405'], '1121903900': ['ML0502'], '1121904080': ['ML0101'], '1121904180': ['ML0105', 'ML0101'], '1121904990': ['ML0105'], '1121905090': ['ML0401', 'ML0406'], '1121905180': ['ML0101'], '1121905290': ['ML0206', 'ML0401', 'ML0406'], '1121905350': ['ML0101'], '1121905590': ['ML0401', 'ML0406'], '1121905730': ['ML0105'], '1121905800': ['ML0104', 'ML0101'], '1121905810': ['ML0204', 'ML0205'], '1121905840': ['ML0206', 'ML0201'], '1121906240': ['ML0204', 'ML0105'], '1121906460': ['ML0205'], '1121906660': ['ML0502'], '1121907090': ['ML0101'], '1121907100': ['ML0101'], '1121907480': ['ML0206'], '1121907650': ['ML0105'], '1121907760': ['ML0206'], '1121907960': ['ML0401'], '1121907970': ['ML0401', 'ML0406'], '1121907980': ['ML0401', 'ML0406'], '1121908100': ['ML0401', 'ML0406'], '1121908920': ['ML0402'], '1121909060': ['ML0401', 'ML0406'], '1121909160': ['ML0105'], '1121910100': ['ML0104'], '1121910110': ['ML0402', 'ML0401'], '1121910560': ['ML0402', 'ML0401'], '1121910650': ['ML0402'], '1121910970': ['ML0105'], '1121910980': ['ML0204', 'ML0105'], '1121911290': ['ML0206'], '1121911430': ['ML0104'], '1121911680': ['ML0206'], '1121911810': ['ML0402'], '1121911950': ['ML0402'], '1121912140': ['ML0206'], '1121912180': ['ML0104'], '1121912970': ['ML0104', 'ML0101'], '1121913580': ['ML0304', 'ML0402'], '1121914060': ['ML0104', 'ML0101'], '1121914080': ['ML0204', 'ML0206'], '1121914430': ['ML0104', 'ML0101'], '1121914440': ['ML0204', 'ML0206'], '1121914740': ['ML0105'], '1121914860': ['ML0304'], '1121914930': ['ML0204', 'ML0206'], '1121915130': ['ML0105'], '1121915140': ['ML0105'], '1121915150': ['ML0307', 'ML0407'], '1121915390': ['ML0202', 'ML0401'], '1121915430': ['ML0104'], '1121915620': ['ML0104'], '1121915900': ['ML0104'], '1121915910': ['ML0104'], '1121915970': ['ML0304'], '1121916030': ['ML0104'], '1121916060': ['ML0105'], '1121916080': ['ML0204', 'ML0901'], '1121916250': ['ML0204', 'ML0901'], '1121916400': ['ML0307'], '1121916500': ['ML0304', 'ML0402'], '1121916600': ['ML0204', 'ML0105'], '1121916680': ['ML0307', 'ML0405'], '1121916910': ['ML0104'], '1121917110': ['ML0104'], '1121917290': ['ML0202', 'ML0402'], '1121917300': ['ML0307'], '1121917810': ['ML0204'], '1121917830': ['ML0307'], '1121917850': ['ML0104'], '1121917860': ['ML0105'], '1121918190': ['ML0104'], '1121918200': ['ML0104'], '1121918320': ['ML0104'], '1121919510': ['ML0204'], '1121919710': ['ML0105'], '1121919720': ['ML0105'], '1121919800': ['ML0105'], '1121920380': ['ML0301', 'ML0202'], '1121920590': ['ML0104'], '1121920790': ['ML0202', 'ML0304'], '1121921020': ['ML0301', 'ML0202'], '1121921100': ['ML0105'], '1121921400': ['ML0104'], '1121922550': ['ML0104'], '1121922880': ['ML0105'], '1121923140': ['ML0202'], '1121923150': ['ML0305', 'ML0304'], '1121923300': ['ML0307'], '1121924160': ['ML0105'], '1121924260': ['ML0104'], '1121924350': ['ML0204'], '1121924610': ['ML0202'], '1121924810': ['ML0203'], '1121924970': ['ML0104'], '1121925500': ['ML0301', 'ML0204'], '1121925740': ['ML0203'], '1121926130': ['ML0203'], '1121926190': ['ML0307'], '1121926260': ['ML0307'], '1121926670': ['ML0305'], '1121927280': ['ML0203', 'ML0204'], '1121927360': ['ML0305'], '1121927400': ['ML0203'], '1121927640': ['ML0301'], '1121927840': ['ML0104'], '1121928280': ['ML0305'], '1121928360': ['ML0301'], '1121928500': ['ML0305'], '1121928630': ['ML0305'], '1121928830': ['ML0305'], '1121929040': ['ML0301'], '1121929140': ['ML0305'], '1121929680': ['ML0305'], '1121929850': ['ML0305'], '1121929860': ['ML0305'], '1121930330': ['ML0306', 'ML0203', 'ML0204'], '1121930790': ['ML0203'], '1121930800': ['ML0305'], '1121931200': ['ML0305'], '1121931460': ['ML0306', 'ML0203'], '1121931640': ['ML0202', 'ML0305'], '1121931980': ['ML0306', 'ML0203'], '1121932130': ['ML0301'], '1121932420': ['ML0305'], '1121932550': ['ML0306', 'ML0203'], '1121933410': ['ML0306', 'ML0203'], '1121933800': ['ML0301'], '1121934500': ['ML0301'], '1121934670': ['ML0203'], '1121935030': ['ML0301'], '1121935350': ['ML0301'], '1121936790': ['ML0301'], '1121937030': ['ML0305'], '1121938800': ['ML0305'], '1121939410': ['ML0306'], '1121939420': ['ML0303'], '1121939430': ['ML0303'], '1121939720': ['ML0306'], '1121939780': ['ML0306'], '1121940130': ['ML0303'], '1121940450': ['ML0305'], '1121940880': ['ML0306'], '1121942020': ['ML0303', 'ML0305'], '1121942570': ['ML0306'], '1121942910': ['ML0303', 'ML0305'], '1121943580': ['ML0303'], '1121943810': ['ML0302', 'ML0305'], '1121944140': ['ML0303'], '1121944430': ['ML0303'], '1121945470': ['ML0306'], '1121947460': ['ML0301'], '1121947780': ['ML0301'], '1121948560': ['ML0301'], '1121948660': ['ML0301']}\n",
"\n",
"\n",
- " ('ds_reforecast_1120641660', \n",
+ " ('ds_reforecast_1120040380', \n",
"Dimensions: (issue_time: 2738, lead_time: 8)\n",
"Coordinates:\n",
" * issue_time (issue_time) datetime64[ns] 2016-01-01 2016-01-02 ... 2023-06-30\n",
@@ -1131,20 +1404,48 @@
"Data variables:\n",
" streamflow (issue_time, lead_time) float32 ...\n",
"Attributes:\n",
- " latitude: 14.506249999999\n",
- " longitude: -4.206250000002797\n",
- " gauge_id: 1120641660\n",
- " admin_unit: ['ML0506'])\n"
+ " latitude: 16.552083333332178\n",
+ " longitude: -4.918750000002717\n",
+ " gauge_id: 1120040380\n",
+ " admin_unit: ['ML0602'])\n"
]
}
],
"source": [
+ "# make sure country gauge coords are available and then assign them\n",
+ "export_country_gauge_coords(df_Mali_gauges, 'Mali')\n",
+ "\n",
"dict_datasets = assign_admin_unit_to_datasets(dict_datasets)"
]
},
{
"cell_type": "code",
- "execution_count": 22,
+ "execution_count": 24,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# check if all datasets in dict_datasets have been assigned the \n",
+ "# attributes: 'longitude', 'latitude', and 'admin_unit'\n",
+ "def assure_admin_units_assigned(dict_datasets: Dict[str, xr.Dataset]):\n",
+ " \"\"\" \n",
+ " Check if all datasets have been assigned an admin unit,\n",
+ " including coordinates and gauge_id\n",
+ "\n",
+ " :param dict_datasets: dict of datasets\n",
+ " \"\"\"\n",
+ " for ds in dict_datasets.values():\n",
+ " assert 'gauge_id' in ds.attrs, f'No gauge ID assigned to dataset {ds}'\n",
+ " assert 'admin_unit' in ds.attrs, f'No admin unit assigned to dataset {ds.attrs[\"gauge_id\"]}'\n",
+ " assert 'latitude' in ds.attrs, f'No latitude assigned to dataset {ds.attrs[\"gauge_id\"]}'\n",
+ " assert 'longitude' in ds.attrs, f'No longitude assigned to dataset {ds.attrs[\"gauge_id\"]}'\n",
+ "\n",
+ "\n",
+ "assure_admin_units_assigned(dict_datasets)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
"metadata": {},
"outputs": [
{
@@ -1173,7 +1474,36 @@
},
{
"cell_type": "code",
- "execution_count": 23,
+ "execution_count": 26,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# dict_return_periods"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Because not all gauges in the expert-data layer have \"correct\" data, it seems,\n",
+ "# we'll have to filter some of them out. We'll first do some basic checks, such as\n",
+ "# whether all gauges have discharge data and return periods, and if not, we'll\n",
+ "# filter them out. Practically, we'll do this by try adding the return periods\n",
+ "# from each gauge as attributes to the datasets, and doing checks in the process.\n",
+ "# for gauge_id, ds in dict_datasets.items():\n",
+ "# # try:\n",
+ "# print(dict_return_periods[gauge_id])\n",
+ "# # ds.attrs['return_periods'] = dict_return_periods[gauge_id]\n",
+ "# # except KeyError:\n",
+ "# # print(f'No return periods found for gauge {gauge_id}')\n",
+ "# # dict_datasets.pop(gauge_id)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 90,
"metadata": {},
"outputs": [],
"source": [
@@ -1233,8 +1563,8 @@
" # Plot using 510 colours\n",
" red, blue = '#DB0A13', '#092448'\n",
" fig, ax = plt.subplots(figsize = (10, 10))\n",
- " gpd_adm_units_Mali.plot(ax = ax, color = blue)\n",
- " gpd_adm_units_with_gauges.plot(ax = ax, color = red)\n",
+ " gpd_adm_units_Mali.plot(ax = ax, color = blue, edgecolor = 'black', linewidth = 0.5)\n",
+ " gpd_adm_units_with_gauges.plot(ax = ax, color = red, edgecolor = 'black', linewidth = 0.5)\n",
" # The coordinates of gauge 1120766460 seem to be slightly off, and\n",
" # coincidentally, it is placed outside of Mali and not within an admin unit \n",
" # ax.plot(-8.485416666669321, 11.22291666666553, 'go', markersize = 2)\n",
@@ -1246,7 +1576,7 @@
},
{
"cell_type": "code",
- "execution_count": 24,
+ "execution_count": 91,
"metadata": {},
"outputs": [
{
@@ -1254,12 +1584,12 @@
"output_type": "stream",
"text": [
"Administrative units in Mali: 53\n",
- "Administrative units with a gauge: 15\n"
+ "Administrative units with a gauge: 52\n"
]
},
{
"data": {
- "image/png": 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",
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22Wcf3nzzzbU+3h577MHVV19Nc3Mz7733Hn/5y1+oqKhgq6224r333qN3794AnQ5SnXmdtsUPP/zAvvvuy2abbcYtt9xC//79CQaDvPbaa9x6661tev20ZbGE1iw/9mOPPUafPn1W+/yKq9Sde+65HHroobzwwgtMnDiRyy67jGuvvZbJkyez3Xbbtfux0/V9PeaYY7jkkks47bTTqKysXOPvqSVLlrDXXntRVlbGlVdeyUYbbUQ4HOazzz7jT3/6U4ffpyKSOxSkRCQjnnjiCXr16tWyqtyKxo8fz4QJE7jnnnsoKipi4MCBLVeyV/Tdd991Ramdtssuu7DLLrtw9dVX8+STT3Lcccfx9NNP8/vf/75DS6X/5z//4fvvv+eRRx7hhBNOaLl90qRJq923vccfMWIEjzzyCG+99Rb//e9/sda2DOsD2HDDDQEIBALst99+7a59eXdl1f2dZsyY0e5jrc3anrfjOOy7777su+++3HLLLVxzzTX85S9/4e23317rcxoyZAjxeJynnnqK2bNntwSmPffcsyVIbbLJJi2BqiO1dVSvXr0Ih8Otru636m0vv/wysViMl156aaUuzfJhdSvq1q3baj+reDzO3LlzV7pt4MCBbXrs5UPrevXq1abXz0YbbcQFF1zABRdcQFVVFdtuuy0333wzjz/++Dq/NlMGDBjA7rvvzjvvvMPIkSPXuET5O++8Q3V1NePHj19pH7Hp06d3Vaki4jEN7RORtGtqamL8+PEccsgh/OY3v1ntY/To0dTX17csK/2rX/2Kjz/+mH/9618tx1i4cKHne06ty+LFi1e72r18Dsny4X3L51a0Z+PY5VfWVzy2tZbbb799tfsWFxe36/j77bcf3bt3Z9y4cYwbN46ddtqJQYMGtXy+V69eDB06lHvvvXe1k2lY+nNZm4EDB+Lz+VrmGi139913t6m+tlrT866pqVntvqv+TNZk5513JhAIcP3119O9e3e23HJLYGnA+vjjj5kyZUqbulHFxcVpH9bl8/nYb7/9eOGFF5gzZ07L7dOmTWtZin3F+8LKr5/a2loeeuih1Y670UYbrfazuu+++1brSB1wwAF89NFHfP755y231dTUrPYePeCAAygrK+Oaa65pdd7g8tdPNBqlubl5tVpKS0vbNTQ2U6666iouv/xyzj777DXep7XvczweT/trXUSylzpSIpJ2L730EvX19S1LRq9ql112admcd8SIEVx00UU89thjHHjggfzhD39oWf584MCBfPnll11cfds98sgj3H333RxxxBFstNFG1NfX8/e//52ysjJ+9atfAUuHmm2xxRaMGzeOTTbZhO7du7PVVlu1LDXems0224yNNtqICy+8kNmzZ1NWVsbzzz/f6lyPHXbYAYBzzjmHAw44AJ/Px9FHH73GYwcCAYYPH87TTz9NY2MjN91002r3ueuuu9hjjz3YeuutOe2009hwww2ZP38+H330EbNmzVptw9IVlZeX89vf/pY777wTYwwbbbQRr7zySlrnVcH/nvdf/vIXjj76aAKBAIceeihXXnkl7777LgcffDADBw5kwYIF3H333fTr14899thjrceMRCLssMMOfPzxxy17SMHSjlRjYyONjY1tClI77LAD48aN4/zzz2fHHXekpKSEQw89tNPP+YorruDNN99k9913Z+TIkaRSKf72t7+x1VZbrRRwhg0bRjAY5NBDD+WMM86goaGBv//97/Tq1Wu1cPz73/+eM888kyOPPJL999+fL774gokTJ7YsKb/cRRddxOOPP87+++/P2Wef3bL8+YABA6ipqWn5XpWVlTF27Fh+97vfsf3223P00UfTs2dPZs6cyauvvsruu+/O3/72N77//nv23XdfjjrqKLbYYgv8fj8TJkxg/vz5a339dpW99tprtW0CVrXbbrvRrVs3TjzxRM455xyMMTz22GNpG6IpItlPQUpE0u6JJ54gHA6z//77t/p5x3E4+OCDeeKJJ6iurma99dbj7bff5uyzz+a6666jsrKSM888k759+3Lqqad2cfVtt9dee/Gvf/2Lp59+mvnz51NeXs5OO+3EE088sVKX5/777+fss8/mvPPOIx6Pc/nll681SAUCAV5++WXOOeccrr32WsLhMEcccQSjR4/mF7/4xUr3HT58OGeffTZPP/00jz/+ONbadZ6Ijhgxgvvvvx9jDEcdddRqn99iiy349NNPGTNmDA8//DDV1dX06tWL7bbbjv/7v/9b5/flzjvvJJFIcM899xAKhTjqqKO48cYb1/qc22vHHXfkr3/9K/fccw9vvPEGrusyffp0DjvsMH766ScefPBBFi1aRI8ePdhrr70YM2ZMy+Ija7O8+7Ri6OrTpw8bb7wx06ZNa1OQOuuss/j888956KGHuPXWWxk4cGBagtQOO+zA66+/zoUXXshll11G//79ufLKK/nvf/+70gpxm266Kc899xyXXnopF154IX369GHkyJH07NmzZbPo5U477TSmT5/OAw88wBtvvMGQIUOYNGkS++6770r369+/P2+//TbnnHMO11xzDT179mTUqFEUFxdzzjnnEA6HW+577LHH0rdvX6677jpuvPFGYrEY66+/PkOGDOHkk09uOd4xxxzDW2+9xWOPPYbf72ezzTbjmWee4cgjj+z096orVFZW8sorr3DBBRdw6aWX0q1bN44//nj23XffNc4vFJH8YqwunYiIiOSsww8/nK+//rrVeYaZdu6553LvvffS0NCQ9oVDRESyneZIiYiI5IimpqaV/l1VVcVrr73G0KFDu/yxq6ureeyxx9hjjz0UokSkIKkjJSIikiPWW289TjrpJDbccENmzJjB2LFjicViTJ06tdW92NJp2223ZejQoWy++ebMnz+fBx54gDlz5vDWW2+ttGqdiEih0BwpERGRHHHggQfy1FNPMW/ePEKhELvuuivXXHNNxkMULF1d87nnnuO+++7DGMP222/PAw88oBAlIgVLHSkREREREZF20hwpERERERGRdlKQEhERERERaae8nyPlui5z5syhtLS0ZcNAEREREREpPNZa6uvr6du3L47TuZ5S3gepOXPm0L9/f6/LEBERERGRLPHzzz/Tr1+/Th0j74NUaWkpsPSbVVZW5nE1IiIiIiLilbq6Ovr379+SEToj74PU8uF8ZWVlClIiIiIiIpKWKT9abEJERERERKSdFKRERERERETaSUFKRERERESknRSkRERERERE2klBSkREREREpJ0UpERERERERNpJQUpERERERKSdFKRERERERETaSUFKRERERESknRSkRERERERE2klBSkREREREpJ0UpERERERERNpJQUpERERERKSdFKRERERERETaSUFKRERERESknRSkRERERERE2klBSkREREREpJ0UpERERERERNpJQUpERERERKSdFKRERERERETaSUFKRERERESknRSkRERERERE2klBSkREREREpJ0UpERERERERNpJQUpERERERKSdFKRERERERETaSUFKRERERESknRSkRERERERE2klBSkREREREpJ38XhcgIpLLxo0bxzvvvAPAtGnTmD9/PgBLliyhvr4+LY8RjUZXuy0ej7frGMFgEIBIJEJpaSkAFRUV9O7dG4CNN94YgKFDhzJixIjOlNti5MiRjB07Ni3HEhERyTbGWmu9LiKT6urqKC8vp7a2lrKyMq/LEZE8UGkcBjj/a+gbDKblv//3wQr/35r2/PJt7Tir3tbafewKj2PXcfvS29L3JyFmYYl1mYslz//UiIhIjkhnNlBHSkSknUqN4ZlQOcasLSYJwAfJOP+XaCRiDFGFKRERySOaIyUi0k4WWJLGzk0+290fZEK4nKG+IH2No/ApIiJ5Q0FKRKSdXGuZY12vy8gZZcbhjlApY4LFDDAOEYUpERHJAwpSIiLt1IBlvoJUu+3tD6k7JSIieUNBSkSknZYAc9yU12XkJHWnREQkXyhIiYh0wM/qSHWKulMiIpLrFKRERDrgZ6uOVGet2p0KK0yJiEgOUZASEWmnM888k4Vayjtt9vaHGB8uZ4gToK9x6Natm9cliYiIrJOClIhIO40dO5ZmBam0KjcOY8NlXBQspqS2TkP9REQk6ylIiYh0QFz7SGXEIf4Qz4TL2cXx08c47L///l6XJCIi0ioFKRGRDkiCulIZ0tM4PBoqY1QgwjdvTVZ3SkREspKClIhIR1i0l1QGGWM4JhDm8VAZ2zg+ehmHcePGeV2WiIhICwUpEZEOaMYyT0Eq4/o7Pp4NlXOCP8z5Rx+j7pSIiGQNBSkRkQ6oxjJXm/J2CccYzgxGuD9cxuZG3SkREckOClIiIh2QQpvydrXBjp/x4XJ+5w9zwdHHqjslIiKeUpASEemgmdqUt8v5jWFkMMIj4TK2c/z01sp+IiLiEQUpEZEOqKioYJY6Up4Z6PgYFypjdCDCt1rZT0REPKAgJSLSAYsXLyaq5c89tXxlv6dD5ezuBFjPOHTr1s3rskREpEAoSImIdFBMm/Jmhd6Ow0OhUi4OFlNaW0dY3SkREekCClIiIh0UBxLqSmUFYwwH+0OMD5cz1BdkfeNouJ+IiGSUgpSISAcZYKHmSWWVCuPwt1Apfw2WMNA4lChMiYhIhihIiYh0UAK0KW+W2tMf5MVwBQf7QupOiYhIRihIiYh0ULV1FaSyWLExXB0q4dZgCRsZh24KUyIikkYKUiIiHRRHm/Lmgu2Xdad+4w+zvuNTd0pERNJCQUpEpBNmuNqUNxeEjOFPwWLuC5WyufHR0ziMGzfO67JERCSHKUiJiHTCz1ZBKpds6viZEC7nRH+YC44+Vt0pERHpMAUpEZEOstZSr+XPc47PGM4MRngkXMZ2jp/exmH//ff3uiwREckxClIiIp2gTXlz10DHx7hQGaMDEf771mR1p0REpF0UpEREOiEOuOpK5SxjDMcEwowLlbO7E6Cv46Nbt25elyUiIjlAQUpEpJNq1JXKeb0dh4dCpVwUiFBaW0dY3SkREVkHBSkRkU5wrWW+lkDPC8YYDvGHeD5czl6+IH21ka+IiKyFgpSISCc0oCCVb7oZh7tCpVwZLGagcShRmBIRkVYoSImIdMISYI72kspLQ/0hXghXcIAvyPpGG/mKiMjKFKRERDrpZ3Wk8laJMVwfKuWmYDEbGocKhSkREVlGQUpEpJO0KW/+29Ef5KVwBYf7w6zvqDslIiIKUiIinXLmmWeyQB2pghAyhkuDxdwVKmWw8dHDGMaNG+d1WSIi4hFjbX5vgFJXV0d5eTm1tbWUlZV5XY6I5KHNHD+vFFV4XYZ0obi13JGI8nIqzhzrkud/SkVE8kY6s4E6UiIinRTXPlIFJ2gMFwaLuS9UyubGR0/jqDslIlJgFKRERDopCTSpI1GQNnX8jA+Xc6w/zPlHH6O5UyIiBURBSkSkk4xFe0kVML8xnB2McH+4jC2Mj17qTomIFARPg9S1117LjjvuSGlpKb169eLwww/nu+++a/W+1loOOuggjDG88MILXVuoiMhaxLQprwCDHT/Ph8s5Tt0pEZGC4GmQmjJlCqNGjeLjjz9m0qRJJBIJhg0bRmNj42r3ve222/RHSUSy0iKsNuUVYGl3alQwwoPhcrbU3CkRkbyWVav2LVy4kF69ejFlyhT23HPPlts///xzDjnkED799FPWW289JkyYwOGHH96mY2rVPhHJNGMM5/iLODsY8boUySIpa7k/2cxTiWZmo5X9RESyQd6u2ldbWwtA9+7dW26LRqMce+yx3HXXXfTp02edx4jFYtTV1a30ISKSaTO1Ka+swmcMZwSKeCRcxraOjz7qTomI5JWsCVKu63Luueey++67s9VWW7Xcft5557Hbbrvx61//uk3HufbaaykvL2/56N+/f6ZKFhEBoKKiglmaIyVrMNDxMS60bO7UMcdqmLqISJ7ImiA1atQovvrqK55++umW21566SUmT57Mbbfd1ubjXHLJJdTW1rZ8/PzzzxmoVkTkfxYvXkyjhm3JWjjGMDIY4W/BEgYbH5XGqDslIpLjsiJIjR49mldeeYW3336bfv36tdw+efJkfvjhByoqKvD7/fj9fgCOPPJIhg4d2uqxQqEQZWVlK32IiGRakzbllTbY2hfghXA5R6o7JSKS8zwNUtZaRo8ezYQJE5g8eTKDBg1a6fMXX3wxX375JZ9//nnLB8Ctt97KQw895EHFIiKtc4E6De+TNggaw0XBYu4JlbKp8dFDc6dERHKS38sHHzVqFE8++SQvvvgipaWlzJs3D4Dy8nKKioro06dPqwtMDBgwYLXQJSLiJWsts61LmcmKRr/kgM0dPy+Ey7krEeX8o4/h6KOP1sp+IiI5xNO/+GPHjqW2tpahQ4ey3nrrtXzoypyI5JrFWGa76khJ+/iN4Q/BYh4Il2nfKRGRHJNV+0hlgvaREpGuYIzhj4EIpweKvC5FclTKWv6eaOKpZIw52ndKRCQj8nYfKRGRXPajq72kpON8xnBmMMLD4TK2UndKRCTrKUiJiKRBMBhkhjbllTQY5Ph4LlzO8f4w5x99jFb2ExHJUgpSIiJpEIvFtJeUpI3PGEYFI9wfLmMzdadERLKSgpSISJo0ay8pSbPBjp8J4XKOUXdKRCTrKEiJiKRJEtSVkrTzG8M5y7pTWxgfvdSdEhHJCgpSIiJpYizM0TwpyZDBjp/xLXOnjlV3SkTEYwpSIiJp0ohljtVeUpI5PmM4KxjhoWUr+6k7JSLiHQUpEZE0qcYyU0ugSxfYcNnKficFitSdEhHxiIKUiEgaTXfVkZKu4TOG0wNFPBouYxtnaXdq5MiRXpclIlIwFKRERNJIe0lJVxvo+Hg2VM4pgSJevuc+dadERLqIgpSISJpYa6nWHCnxgGMMvw8U8ciy7lRvdadERDJOQUpEJI1i2ktKPLS8O3VqoIiX1J0SEckoBSkRkTSKWUhqLynxkGMMpwSKeCxcxi8cv7pTIiIZoiAlIpJGCSwfpRJelyHCAMfHM6EyTgsU8fK96k6JiKSbgpSISBrNw3JnosnrMkSApd2pkwJFPBoqY1t1p0RE0kpBSkQkjULAApviv27S61JEWgxwfIwLlXG6ulMiImmjICUikkYxYDaW2+NRr0sRWYljDCcGingsVMZ2jp8+6k6JiHSKgpSISJod5gvyvU0x19WeUpJ9+js+nlZ3SkSk0xSkRETSaJtttuFn6zLHuozVXCnJUo4xnBAo4vFQGdurOyUi0iEKUiIiafTFF1/QZC3fRir5wE1Qrw16JYv1W9adOkPdKRGRdlOQEhFJs+Zlm/JWW5fHEs0eVyOydsYYfrds7tTyfafGjRvndVkiIllPQUpEJM1coN66HAyMT8WIa4NeyQH9l+07dVKgiAuOPlbdKRGRdVCQEhFJM2sts63L1ZFKGqzl5WTM65JE2sQxhtMCRTwULmNL46OXulMiImukICUikmZ1WGa7S+dGVWN5INmEVVdKcsggx8dz4XKO9oc5/+hj1J0SEWmFgpSISJrVAj/ZpUufV0UqaQDeTyU8rUmkvfzGcE4wwn3hMjY1PnooTImIrERBSkQkA35YYQ+pudblTi2FLjlqU8fPhHA5w/1h1nd86k6JiCyjICUikmbl5eUtHSlY2pVaYF2+cZMeViXScQFjuChYzF2hUjY2PioUpkREFKRERNJtyZIlNKwyJ2o2LnfEox5VJJIeWzl+XgiXc6g/xPqOo+6UiBQ0BSkRkQxYvpfUclWRSr63KeauMORPJBeFjOHyYAm3BEoYZBxKFaZEpEApSImIZECKpXtJrWiOdRmruVKSJ3bwB3kxXMGvfCHWN5o7JSKFR0FKRCQDrLXMWSVIfRup5AM3sVrAEslVRcZwdaiEG4PF6k6JSMFRkBIRyYA6LLPc1QNTtXV5NNHsQUUimbOTP8gL4QoO8gXpazR3SkQKg4KUiEgG1AI/29XnQx0MTEjFiGuDXskzEWO4JlTKTUHNnRKRwqAgJSKSIT+2srDE1ZFKGqzl5WTMg4pEMm/F7pTmTolIPlOQEhHJkBmtdKQAqrE8kGzCqisleWp5d2r53KkyhSkRyUMKUiIiGWCtpW4NQakqUkkD8H4q0bVFiXSx5d2pA31B+qo7JSJ5RkFKRCRD1haT5lqXO7UUuhSA/82dUndKRPKLgpSISIYkWPPQvapIJQusyzdusgsrEvHOit2p9R2t7CciuU9BSkQkQxJAci3zoGbjckc82nUFiXhseXfq9mApGxsfFQpTIpLDFKRERDLEAZasoyv1vU0xt5XV/UTy2ba+AC+EyznUH1J3SkRyloKUiEiGuNayyK6+Ke+K5liXsZorJQUoZAyXB0u4NbB03yl1p0Qk1yhIiYhkSDOsM0h9G6nkfTdB/TruJ5KvtvcHeTFcwTCt7CciOUZBSkQkQ2qwVLvrDkg11uXRRHMXVCSSnYqWzZ26IVjMBsahVGFKRHKAgpSISIakWLrM+bocDExIxYhrg14pcLv4g4wPlzPEF6Sv0dwpEcluClIiIhnUliB1daSSBmt5KRnrgopEslupcbgjVMplwWL6GYeAwpSIZCkFKRGRDJrVxrlP1VgeTDZh1ZUSAWB/f4jnwuXs4gRYz/GxzTbbeF2SiMhKFKRERDJk4sSJVLcxSFVFKmkA3k8lMluUSA6pNA4Phko5z19EzVdfa6ifiGQVBSkRkQwZNmwY8bXsI7WqudblTi2FLrISYwzDA2GeDpWxk+Onj3HYf//9vS5LRERBSkQkk2Is3U+qLaoilSywLt+4ycwWJZKD+jg+Hg+VMTJQxH/fmqzulIh4TkFKRCTDFrejKzUbl9vj0QxWI5K7jDEcFyji8VAZ2zo+ehmHcePGeV2WiBQoBSkRkQxyrW3Tyn3LVUUqqbIp5rqpDFYlktv6OT7Ghco5OVDEBUcfq+6UiHhCQUpEJINqscxrw6a8K5pjXcZqrpTIWjnGcFqgiAfDZWxpfPRUd0pEupiClIhIBtUDP9v2dZe+jVTyvpugvh2dLJFCtaHj47lwOcf4w5x/jLpTItJ1FKRERDLspw4M06uxLo8mmjNQjUj+8RvDOcEI94VK2cT46K4wJSJdQEFKRCTDZrSzIwVwMDAhFSOuDXpF2mxTx8/4cDkH+0P0NY66UyKSUQpSIiIZZK1lSQfC0NWRShqs5aVkLANVieSvkDFcHizhxmAJA41DRGFKRDJEQUpEJMNi7Vj+fEXVWB5MNmHVlRJpt539QSaEyxniC9LXOHTr1s3rkkQkzyhIiYhkWAxIdiAMVUUqaQDeS8XTXpNIISg1DneFSrkoWExJbZ2G+olIWilIiYhkmAMs6OAKfHOty51adEKkUw7xh3g6VM5Ojp8+xmHkyJFelyQieUBBSkQkw+JY5nQwSFVFKllkXb52k2muSqSw9HYcHg+VcUagiJfuvU/dKRHpNAUpEZEMW2QtszuwBPpys3C5Ix5NY0UihckYw+8CRTwaKmNrR5v4ikjnKEiJiGRYApjegSXQl6uKVFJlU8ztRBgTkf8Z6Ph4NlTOcdrEV0Q6QUFKRKQL/NzBoX0rfv1diaY0VSMiPmMYHYxw77JNfLspTIlIOylIiYhk2KBBgzo8R2q5qkglH7oJ6jp5HBFZ2WbLNvH9tT/M+o428RWRtlOQEhHJsB9//JFoGvaCqrEuj2oFP5G0CxnDpcFibgmUMMg4lChMiUgbKEiJiHSBjm7Ku6KDgRdSMeLaoFckI3bwB5kQrmCfZZv4qjslImujICUi0gUSQKqTAejqSCUN1vJSMpaeokRkNcXGcEuolP8LFtPfOAQUpkRkDRSkRES6gGHpMuidVY3lwWQTVl0pkYzazx/i2XA5OzsB+joO+++/v9cliUiWUZASEekCSWB+GhaKqIpU0gC8l4p3+lgisnaVxuGhUCmj/BH++9ZkDfUTkZUoSImIdIFa66YlSAHMtS53atEJkS5hjGFEIMxjoTK20Sa+IrICBSkRkS7QAMzuxKa8K6qKVLLIunztJtNyPBFZt/6Oj2dC5RyrTXxFZBkFKRGRLjLTTd8eULNwuSMeTdvxRGTdfMZwdjDC2FApg42PCoUpkYKmICUi0kV+TlNHCpZ2pb63Kea46TumiLTNFo6fCeFyDvKH6Gt86k6JFCgFKRGRLjBx4kQWpWmO1HKzrMvdiaa0HlNE2iZkDH8NlnBtsJiBxqFYYUqk4ChIiYh0gWHDhqVlU94VVUUq+dBNUJfmgCYibbe7P8j4cDm7OQHWMw4DBgzwuiQR6SIKUiIiXSQGuGne/6nGujyqFfxEPFVmHMaGy/hjIIKdNVtD/UQKhIKUiEgXMcCiNHelDgZeSMWIa4NeEc8dFgjzVKiMHRw/vbVMukjeU5ASEekiSWBumheHuDpSSb21vJiMpfW4ItIxfRwfT4bKOClQxPlHa5l0kXymICUi0kWqrcucDMxnqsHyULIJq66USFZwjOG0QBH3h0vZ1PioVJgSyUueBqlrr72WHXfckdLSUnr16sXhhx/Od9991/L5mpoazj77bDbddFOKiooYMGAA55xzDrW1tR5WLSLSMc3AjAwsV14VqaQeeC8VT/uxRaTjBjt+xofLOcQfpq9x1J0SyTOeBqkpU6YwatQoPv74YyZNmkQikWDYsGE0NjYCMGfOHObMmcNNN93EV199xcMPP8wbb7zBqaee6mXZIiIdNj2Ne0mtaJ51uVOLTohknaAxXBYs5qZgCRsYh4jClEjeMDaLxoIsXLiQXr16MWXKFPbcc89W7/Pss89y/PHH09jYiN/vX+cx6+rqKC8vp7a2lrKysnSXLCLSZn369KH/wmqeCpdn5PhDo4u5K1zKls66fzeKSNerty6XxBv5MpWgqaKcxYsXe12SSMFJZzbIqjlSy4fsde/efa33KSsrW2OIisVi1NXVrfQhIpIN5s2bR2MGr13NxuX2eDRjxxeRzik1Dn8LlfKnYDEltXUa6ieS47ImSLmuy7nnnsvuu+/OVltt1ep9Fi1axF//+ldOP/30NR7n2muvpby8vOWjf//+mSpZRKTd0r0p74qqIpVMsynmZGAeloikz8H+EE+FytjJ8dPHOIwcOdLrkkSkA7JmaN/IkSN5/fXXef/99+nXr99qn6+rq2P//fene/fuvPTSSwQCgVaPE4vFiMViK31d//79NbRPRLLCQOPjtaIKQhm6Ej04Ws0IX4irQiUZOb6IpI+1lieSzfw92cwc62rlTZEukHdD+0aPHs0rr7zC22+/3WqIqq+v58ADD6S0tJQJEyasMUQBhEIhysrKVvoQEckm8zOwBPpyVZFKPnQT1GXwMUQkPYwxHB8o4rFQGds4PnppE1+RnOJpkLLWMnr0aCZMmMDkyZMZNGjQavepq6tj2LBhBINBXnrpJcLhsAeVioikRxzL3AyHnBrr8qhW8BPJGQMcH8+EyvmtP8SpRx/NFlts4XVJItIGngapUaNG8fjjj/Pkk09SWlrKvHnzmDdvHk1NTcD/QlRjYyMPPPAAdXV1LfdJpTQHQERyz0JsxucwHQy8kIoR1zAhkZzhM4bzgsUUYUh++z0bdutOIpHwuiwRWQtPg9TYsWOpra1l6NChrLfeei0fy9van332Gf/85z/5z3/+w8Ybb7zSfX7++WcvSxcR6ZAUMCvDHamrI5XUW8uLydi67ywiWeOxeJStHT8vhcs5oqGZQcEwF553ntdlicgaZM1iE5mifaREJJsYYxjuC3J9qDSjjzM4Ws1g4/BquEJLLIvkiL2jNfwpWMyB/hAAs9wUF8UbmONz+HBaFQMGDPC4QpHcl3eLTYiIFAqfz8fsLlgIoipSST3wbiqe8ccSkfRwjGFPX7Dl3/0cH0+EyjiXAHtsMIijf/tbD6sTkVUpSImIdKFkMklDFw0EmGdd/qZFJ0RywpREjN7GIbJKB9kYw+GBMM+Gy5kz/kX6B0LMnTvXoypFZEUKUiIiXSyewU15V1QVqWShdfnaTXbJ44lIx/010civfaE1fr7SODwQKuVcE2Dn9fvxu2OP7cLqRKQ1ClIiIl0sBl228eZsXG6PR7vksUSk46wx7O8PrvU+xhh+HQgzLlzO9HHP0S8YZNGiRV1UoYisSkFKRMQDtV3YlZpmUxlfcl1EOu7HRIJyDN1N207LehqHh0KlnE2QbXv15rbbbstsgSLSKgUpEZEuZq1lQRcsOLHcz9bl7kRTlz2eiLTPHxINHORf87C+1hhjODIQ5sFQGXeffyG7bvOLDFUnImuiICUi0sUagfldGKSqIpV86Cao68LHFJG2azRwkG/tw/rWZEPHx/Phcrp98y39AyFqa2vTXJ2IrImClIhIF6vBMtvt2lBTY10e1Qp+IlmnNpGgCEM/x9fhYxQZwx2hUs40Abao6M6DDz6YxgpFZE0UpEREPPCT7do5SwcDL6RixPN7D3aRnDM62chQXyAtxxoRCHNfuJTrf386W/brn5ZjisiaKUiJiHigq4PU1ZFK6q3lhWSsSx9XRNZulrUc2s75UWuzqeNnfLicHecvoq/j4/XXX0/bsUVkZQpSIiJdbOLEiSzs4qF9sHRI4cPJpi5bel1E1i6RSBA0sKnp+LC+1oSM4dJgMbcGihl18CHsuu12aT2+iCylICUi0sWGDRuGF7OVqiKV1APvpxIePLqIrOqSVBO/dAIYYzJy/B38QSaEK+j11Tes7/Pz1VdfZeRxRAqVgpSIiAeasZ50huZZlzu1FLpIVvjUpjgijcP6WlNsDDeHSvk/fxG/2uYXHDdiREYfT6SQKEiJiHhkcRdtyruiqkglC6zLt26yyx9bRFbmB7Zz/F3yWPv6QzwbLuf758azcUX3LnlMkXynICUi4gHXWuZ6tK/TbFxuT0Q9eWwRWepvsQY2c3z4MjSsrzWVxuHxUBn7NjbR1/Hx+eefd9lji+QjBSkREQ/UY5nnwYITsLQr9Z2bYp7btSsHisj/PJeKM9yX2WF9rfEZwx+DxVwTKObw7XfgoP326/IaRPKFgpSIiAdqgTldvAT6iuZYl/s0V0rEMz5j2N0X9Ozx9/AHeT5cTvLtd1nfH2DmzJme1SKSqxSkREQ8MtOjoX0AY4B33AQNWgpdpMu9mGiin3EIdeGwvtaUG4ex4TIudELsusEgbrvtNk/rEck1ClIiIh752cOO1IhIJbXW5amkFwuxixS22xNRjvBgWN+aHBoI83CojLvPv5A9dvil1+WI5AwFKRERD0ycOJGFHnakAHoBzySbSaorJdKlDA77+r0b1teaQY6P58LlRD7/kgGhMImE9psTWRcFKRERDwwbNoy4x/nl9UgljdYyMRX3thCRAvJlIkF341Bqsu8ULGIMd4VKOc76GBgK88knn3hdkkhWy753sYhIgYh5sI/UqhZiuTfR5MnmwCKF6KJEA4dmWTdqRcYYTg0UcX2gmOE778JfLr7Y65JEspaClIiIR1JA1OMAU7VsrtS/tUGvSJeIGzggi+ZHrcmu/iCPh8p46Yab2Kx3b6/LEclKClIiIl6xMN/jeVIAc7DaoFekC8xPJCjB0NvJjdOv9R0fz4TL2a2mjr6Oj48//tjrkkSySm68k0VE8lAzNiuCVFWkklnWZbo26BXJqLOSDezv4d5RHREwhj8Hi7kuUMzRu+3Onjvt5HVJIllDQUpExCMLsczNkvAyy7r8TV0pkYxabOFgf/YP62vNbv4gE8LldP/sC9b3+Xjvvfe8LknEcwpSIiIesXi7Ke+KqiKVTHWTVGdJPSL5JppIEDSwoePzupQOKzUON4VKucZfzAl7DWXnLbf2uiQRTylIiYh4yMtNeVe1wLo8lGjyugyRvLMokeDARD1H+8Nel5IWu/uDvBCuYMB337O+4+PVV1/1uiQRTyhIiYh4ZNCgQczOog7QZcDrqTgxLYUukjYfJOIMT9RzXiDCSYEir8tJm2JjuDZUyi2BYv5w6GFs3nd9beIrBUdBSkTEIz/++KPny5+vaESkkjrr8lyy2etSRPLCLbEGLk02cluwhCMC+dGNWtUO/iAvhivYc2ENGwRD3HLLLV6XJNJlFKRERDwU87qAVcSBx5LNuFkU8ERy0QlNS3jLTfJ4qIzts3gD3nQIGcMfg8XcHy7joT9eRP9IMTNnzvS6LJGMU5ASEfFQAksii0LLF5FKGqzlnVTc61JEctawaA3GGMaFy1k/hxeXaK/Bjp/nQ+WclTTsscEgDh42zOuSRDJKQUpExEMGWJRF86QA5mO5S4tOiLRbNJFgr2gNu/mCPBgqo8QYr0vqco4x/DYQZny4nJn/mMyNN97odUkiGaMgJSLioQQwL8uCVFWkkmpr+cpNel2KSM6YmkhwYLKBkYEIV4RK8BVgiFpRhXE4yB/i2Wef9boUkYxRkBIR8VCddVmURUP7lpuNy+1xbdAr0hb3xhs5P9nAjYFijs7TRSU6YmvHz5wv/uN1GSIZoyAlIuKhBmBuFu0ltVxVpJIfbIo5bvbVJpJNzmhawgupOA+Hytg5zxeVaK/tHD++hOZbSv5SkBIR8Vg27SW1op+ty92aKyWyRgdHa6g3hmfC5QwsoEUl2ipsDEEKe4ij5DcFKRERj83Owo4ULO1KfegmqM/SoCfilWgiwdBoDdv4AjwaKqPU6HSqNdZakmTf0GWRdNE7X0TEQ5dccglzszioVFuXxxPaoFdkuW+WLSpxSqCIa0Ol+At8UYm1SQAp5SjJYwpSIiIeuuaaa2jKwsUmltsGeD4Vy6q9rkS88lg8ylnJBq4JFHNCoMjrcrJeANDIPslnClIiIh6LAaksDSqPRSpptJZXkjGvSxHx1DnNdTyWivFgqIw9tKhEmxhj8HtdhEgGKUiJiGSB6iyeR7AIy/3JJmyWhj2RTDs0uph5WJ4Jl7OhFpVos0Zr0W50ks8UpEREPJaylvlu9s6TqopUUm8tH6USXpci0qUSiQRDm2oY7PPzRKiMCi0q0S4/uCmMo++Z5C+9ukVEPFaLZX4WLzgBMBfLnUkthS6FY0Yiwb6Jeo71F3FzsISAFpVot2luEl+fPl6XIZIxClIiIh5rIHuXQF+uKlLJXNfle1cDdST/jU80cUKyniuCxZweKMIoRHXIf22KnfbY3esyRDJGcwBFRLLAzCwe2rfcbFxuT0S5K1TmdSkiGXNRcx1TbYr7Q2UMdnSa1BmfpBK8ePXVXpchkjHqSImIZIFZWd6RgqVdqW9SKRZk+TBEkY46IrqYH6zL0+FyhahOilpLnbVstNFGXpcikjEKUiIiHps4cSILcySczMXlvrjmSkl+SSQS7B2tYX2fnyfD5VRqUYlOW2RdHEdDIiW/6TeFiIjHhg0bRtzrItpoDDDZjdOopdAlT8xOJNg30cBwf5g7gyWENB8qLZqx2FZ24/3uu+949dVXPahIJP3UtxYRyQLNWbyP1IpGRCq5IVrNU8lmfh8o8rockU55I9HMtYkm/hyMcKA/5HU5eaWHcYhbl9133x2fz8cP73+AA/QwhpSFs0uK+bGu1usyRTpFHSkRkSxggYYc6fL0AsYlm0nmSL0irbkiVs+NySbGhksVojKgu3G4P1TKzv+ayvYffcq1gWLeLurGs+EKnguX06MxyqWXXup1mSKdoiAlIpIFrIV5ObDgBMDrkUoareWNZMzrUkQ65KjoYqa6KZ4Kl7OFFpXImE0dP2cFI4wORtjNH2y53TGGk/xhHrjueg+rE+k8BSkRkSwQxTI3RxacAFiI5d5kM1ZdKckx+0ZrqHB8jAuX00uLSnhmf1+QQ4yf3o6PvsXFHHvssUSjUa/LEmkX/QYREckC1Vjm5sBeUstVRSqptS6fpBJelyLSJosSCfaM1nCgP8S9oVLCWlTCU8YY/hQs5o/+Is5LGMwz49mqpJT+oTA//PCD1+WJtImClIhIlpiRI0P7lpuL5faklkKX7DclEWN4ooELAxH+GCzGKERljcMDYY4IhBkTKuGNcAXnWz/7D96EAT4/G6y/vlb4k6ymICUikiVyLUhVRSqZY1P84OZW3VJYbog1MCYZ5Y5QCYcFwl6XI2vhGMOhgTATwxXcHSzhtwsWc+Ghv6av46O2Viv8SfZRkBIRyQKXXHIJ83JojtRys6zljoTmNUh2+l3TEt51kzwRKmNbX8DrcqSNjDFs5vg5Ixjh5aIK/uAvYvNu3Tho7328Lk1kJQpSIiJZ4JprrqE5B9dtqIpU8p9UkkU5GAIlvw2L1hAwDs+Ey1nP8XldjnTCkYEwL4Qr+HHKu1xxxRVelyPSQkFKRCRLxHJkU95VzcPl/oTmSkl2qF22qMSe/hD3h0qJaD5UXuhuHO4KlXLHmCu1GIVkDQUpEZEs4QKNObic+OXApFScphysXfLLp4kEhybqOTsQ4dJgMY5CVF7ZwPFhgAEDBnhdigigICUikj0szM/BIXIjIpUssS7jks1elyIF7O54I39MNnBLsITfalGJvLW142eHwYO9LkMEUJASEckaTdicXHACIAw8mWwmpa6UeODUpiW8korzWKiMX/qDXpcjGdTdGDbfcUevyxABFKRERLLG0k15c3Mp8Q8ilTRYy6RU3OtSpMAcFK0hZgzjwuX006ISeW+Rtbg5tHm55DcFKRGRLOGSe3tJrWghlrFadEK6SDSRYK9oDTv4gjwSKqPU6JSmEPR3HKoXL/a6DBFAQUpEJKvMzNGhfbB0KfQl1uWzVMLrUiTPfZSIc2CygdMDRVwVKsGnRSUKxhbGzzdT3mXu3LlelyKiICUiki222WYb5uZwkAKYg+U2bdArGfJjIsE+0RquSjZyU6CY4wJFXpckXWxEIMyFvjC/6Ls+VVVVXpcjBU5BSkQkS3zxxRc5v4R4VaSSn63LTzk610uyU20iwX7RGs5MNvCHQISXwxXspEUlCtb2vgAhY9hj6DD22GsfBSrxjIKUiEgWac7RTXlXNMu63KmulKRBIpHg0Ohihicb+F2giFfCFfw6ENb+UAXuxkSU2aEK6oo25dMZLsefeEqnj3nGyNGs338D/nb3WJqamrA5flFLuoaClIhIFklaiOX4H/CqSCWfuUmqc3yYonjr+KYlHJBsYF9/kJfDFZwYKCKoAFXwZrgpvnKThPvthDEGJ1DEjNmLeOWVV6mvr+fHH39kzpw5pFLt64q//c4UakKb8n/X38vgLbdn08235ueff87Qs5B8oSAlIpJFDLm5Ke+qFlmXh7SCn3TABc117B1dzIaOn+fD5ZwbLCaiACXLLO1GdVvptlp/P047+09ssd1uDBk2nE0235qxY+9Z6T6u63Ln3+7mqGOOp7a2tuX29957j5NO/j31TUmMcWgOrkeNbwNmN1eww067MWfOnC55XpKb/F4XICIi/xNbtinvAHJ7P5xLgftScUbbCGGdBEsb3Bhr4FU3wS8cH0+Gy1hPe0LJKv7XjVp5Q17j+Kl1+rf82/boyXU33cbJJ5/EK6++xquvvsZ3331L1ex6mkwJO+y0G5ttuim777YTN956N264F7HAQFb8TWUDpfhtmG7dVg5tIitSR0pEJIvUYJmXBws1jIhUUm9dnks2e12KZLlxiSh7RRfzjU3xQKiM20MKUdK66xONzAl1X+f9jOMnkUwyc+ZMzv/jJYyb9CVf/JygKdQPE+rG7GRf/vHFQq6682maSjYjHuyJaeWCT5Mt5v/+73KiUc35lNYpSImIZJEEub2X1IpiwGPJZtwcn/MlmfFBIs5e0RqeS8a5I1TCQ+FyNlKAkjWY7qb4xk0R7vfLNt2/1j+AfQ44jHrTA19xL5zI/8KScfw4wRJsZD3MWl5zzYGe3PPoeIbuvU9anoPkHwUpEZEsM8PmfkcK4ItIJQ3W8lYq7nUpkkV+TCTYO1rDtclG/hos4ZlwOb/wBbwuS7LcDfG2daOWcwIRakMbkwx0fGiecfykygbzw4w5TJ8+vcPHkfylICUikkXKy8uZnScdKYAFWMZq0QkBFq2wF9QFgQgvhSvY0x9sdUiVyIp+dFP817a9G5VugUgFzz8/gdmzZ3vy+JK9FKRERLLIkiVLaMijoXBVkUqqrcvnqYTXpYhHEokEv4ouZkSygRMDRbwaruAQ7QUl7XBDvJE54R6ePX6tsx5X3/EIe+0zTPtLyUoUpEREskwsDzblXdEcLLdrg96CdEx0McOSDRzoD/FKuILfBYoIKEBJO/zgpvjOpgivv71nNSxfFj3aHGvZn6otgSqRSJBMJjNdnnhIQUpEJMskgEQeXfWsilTyk3WZmQerEUrbnL1sL6jNfAEmhMs5JxihSAFKOuD6eCOzI729LoPSxM9cctEF+Hw+rr72err36MXuQ/Zio8Gb8s4776x2f9d12WHHXfnlzrsRi8W6vmDpEp4GqWuvvZYdd9yR0tJSevXqxeGHH85333230n2am5sZNWoUlZWVlJSUcOSRRzJ//nyPKhYRyTwDLMyjeVIAs6zLXepK5b0bYg0MbVqM3xieCpdxeaiECqNrttIxVW6S722K8Hq/8LoU4jbAKy+/RN8BG3HLfc/QXP4L/j3TZXasJyNHn0tjY2PLfa21zJgxg0X1cRZU11FTU+Nh5ZJJnv52mzJlCqNGjeLjjz9m0qRJJBIJhg0bttKL8bzzzuPll1/m2WefZcqUKcyZM4fhw4d7WLWISGalgAV5FqSqIpV84iZZkmfPS5Z6IhFlaHQx39kUD4bKuDVUSh8tZS6ddEM8ypxIH6/LACDgwD/+MYkloU1o8vfC+AI4wRKcUCkz60IcPvy3/Pzzz/zqkF8TCATZceddabLF1MZDTJo0yevyJUOMzaJZcwsXLqRXr15MmTKFPffck9raWnr27MmTTz7Jb37zGwC+/fZbNt98cz766CN22WWXdR6zrq6O8vJyamtrKSsry/RTEBHptB7G4cZQCUN8Qa9LSattotWc4g9zbrDY61IkTaYkYlyeaKSX8XFpsJhtfH6vS5I8UeUmOS1WT81Gw7wuBYBg/Xf4iyqI+lcfZmitpTQ1D59tJko5cacUHB/GOLiJKJt2b+SLzz71oGppTTqzQVb122trawHo3n3pPgH//ve/SSQS7Lfffi332WyzzRgwYAAfffRRq8eIxWLU1dWt9CEikktSWPJxjbu/AC+n4sSy5/qddND3iQRDozXclGziqmAJzxSVK0RJWl0fjzK3eD2vy2gRL9201RAFYIyhwb8etYFBJALdMb4AZtmQVicQYV5NMyef8nuee+75rixZukDW/NZzXZdzzz2X3Xffna222gqAefPmEQwGqaioWOm+vXv3Zt68ea0e59prr2XMmDGZLldEJGNiQDwPw8aISCU3R6uZkIxxdCDsdTnSCack6rkkWMyvfNoHStLvezfJNJsk1Gdrr0tJizpfX56c+CUvvjqRf0x+mz1225VNNhnM4sWLGTZsmN5DOSxrgtSoUaP46quveP/99zt1nEsuuYTzzz+/5d91dXX079+/s+WJiHSZJiCah0EKYAnwcLKJo/wh7SOUw4IYNnV8OgGUjLguHmVuyfqEvC4kTYzjwxeppMl24+GX/80TL39AJACxRJLaWV8xcMNNGTp0T/qu14ettticI48cTiiUL88+v2VFkBo9ejSvvPIK7777Lv369Wu5vU+fPsTjcZYsWbJSV2r+/Pn06dP65MNQKKQXn4jkvEV5tpfUct9HKhnSVMOUVJy9/fpdnasqjeHVZIw/BLPiNELyyLdukh9tklDvrbwuJe2McTDhClJAPYAPwhutz3zg6UlfY1NTCZqXuOGmW/j8s0+8LVbaxNM5UtZaRo8ezYQJE5g8eTKDBg1a6fM77LADgUCAt956q+W27777jpkzZ7Lrrrt2dbkiIl1mVh7vuTTPWu5KNHldhnTC3/zFvJXKx5l84rXr41HmlvRb9x3zhDEGYwxOqAxfpAepovWYuyTBOX84v2XzX8lengapUaNG8fjjj/Pkk09SWlrKvHnzmDdvHk1NS//AlpeXc+qpp3L++efz9ttv8+9//5uTTz6ZXXfdtU0r9omI5KoZNn//gFZFKllkLV+5Sa9LkQ7qHQjQgGW+q+XsJX3+6yaZ7qYI9d7S61I8Ve9bj0deeI/Bm/+CvfYZxjvvTPG6JFkDT4PU2LFjqa2tZejQoay33notH+PGjWu5z6233sohhxzCkUceyZ577kmfPn0YP368h1WLiGSWtZbaPJ0jtdxsXG6Pa4PeXBaw8GYq5nUZkkeuj0eZW1Y43ai1SQR7MM/2518/pTj65FGcfOppLFiwwOuyZBVZtY9UJmgfKRHJRYMdH68XdfO6jIzau2kxj4fKWF8bt+akqYkE1yWjjCsq97oUyQPfuElGNtezeOPs2Dcq29imRfQvbWbs325jyJAhBIP5tc9gV8rbfaRERGSpGJDM7+tczLIud2uuVM7aLhBgES71VsP7pPOuizcyr0yrLK+JKerBzKbuHHXqhQzefFu22Ho7dt5tT+4ee6/XpRU0BSkRkSxkgIV5foJaFankIzdBXZ4/z3yWsi5TknGvy5Ac97WbZKbrEuq1udelZDUnEKEp0IeFzkCmN/Xmy/lh/nrN9eT54LKspiAlIpKFksDcAggYi6zLo4lmr8uQDhodiDAhpSAlnXNdvJG55QO8LiOnGGPATTJ4ow21n5uHFKRERLJQtXWZncdLoC93KPBCKkZcV1Rz0m8CRUy3KeYWwGtVMuNrN8nPrkuo52Zel5Jz3OYl/PY3R3hdRkFTkBIRyUIxYGYBdKSujlRSby0vJbX6W646yAlwXKyOL7WvlHRAVSrJbKMFZzrEF6Rq2o9eV1HQFKRERLLUzDzeS2pFNVgeTDZpnH+O+mOohMv8Ec6ONfC6ArG0U9AYfOi93xEVgSZ+daBWOfSSgpSISBYqKipiVgF0pGDpohMNwPvqaOSsvQMhngmUcG08yl3xqEKxtFkAQ1BBqkMqIoYDDzzA6zIKmoKUiEgWikajNBbQyehc63KnlkLPab0DAd4KlPB8spnz4w0kCuj1Kx0XMChIdZAWmfCegpSISJaKFdDJRVWkkgXW5b9u0utSpBMCgQCTI92ZlkpyfKyO2gLpqkrHBQC/10XkqLpogi+//NLrMgqagpSISJaKA24BXdWfjcvt8ajXZUgavBzpRg8LI5prmakV/WQtAhgFqQ6qSZRx5dXXeV1GQVOQEhHJUgZYXGBdqe+0lHbeuKuonOG+ICfG6vhUm/bKGgTQyWhHRZwoQ/cc4nUZBU2vXRGRLOVay/wCGxo117rco7lSeeP0YDE3+ks4P97ABG28LK1YumqfdESPYsuos870uoyCpiAlIpKl6qHggtS3kUrecxPUF9jzzme/DAQYHyjltkSUG+ONWtFPVhIAjF4SHRKPJ2hu1gUKLylIiYhkqSVYZhfgMLfF1uUJdS/ySo9AgCmR7ryRjHFWrJ6YwpQsE8Cgtec6pjpRzJ8u/rPXZRQ0BSkRkSw2owA7M1sBz6ViWj47D70V6c58N8WxzbVUF+BrW1YXALSKd8ckA5WMe+ENpk6d6nUpBUtBSkQkixXiimePRSpptJZXkzGvS5EMGB/pxiDjcExzLT8U4OtbVhZQP6rjrIvfJOnbt6/XlRQsBSkRkSw1ceJEFhboVftFWP6ebNJ8mjx1U7iME/0hTo3V8YFW9CtoAeWoTrD07N6N3r17e11IwVKQEhHJUsOGDaNQezJVkUrqreWjVMLrUiRDjgtEuNtfwsWJRp7UnLiCFYAC2uQhvYzjZ9GSRmbPnu11KQVLQUpEJIvFsAXblZmL5c6klkLPZ1sEAkz0l3BvIsqVsYaC2oBalgpiFKQ6YVG8mKuu0aa8XlGQEhHJYpalq/cVoqpIJXNdl+/dpNelSAZFlq3o934qzmmxepoUpgqKH3WkOsOEu/P6xLeIRqNel1KQFKRERLKYtZa5BTpPCmA2LrcndIJQCN6MdKfZTXF0cy0LCvg1X2iaQUmqE4wxLIoVcdfYe7wupSApSImIZLFaLHPdwj2prIpU8k0qpRPrAvFEpBvbOT6Oba7lW3Ui894S63J8cy11uDQtWeJ1OTkr5S/jzUlveV1GQVKQEhHJYnXALFvYS0TPxeW+uOZKFYorQqWc6w9zRqyeyVoCP28ttC7HNdcx0BiO9odh0cdel5RzrLU4sUX08c/jLxdf5HU5BUlBSkQky/1UwB0pgDHAZDdOo+bOFIxDAkU86i/hikQjDyYUovPNbDfFcc217Oj4uC1czkH+EOtrP6l2K0nN4/dH7sk3X37G0KF7eV1OQVKQEhHJcjMLvCM1IlJJrXV5KqklsgvJwECAt/ylPJps5pJYPUkF6bzwg5vihFgdh/uCXBEqBWBL4yNgFKTaw7pJepYYbr3lJoqKirwup2ApSImIZLGJEydSrflB9ALGJZt1Ml1gAoEA7xR144tUgpNjdTTo55/TvnaT/D5Wx+n+EGcFi1tuN8awueOjaZrm+bRVOFnNxRedj1EA9ZSClIhIFhs2bBhxLWnF65FKGq3lDc2ZKUivRbrjt5YRzbXMcQu7Q5urPknGOStWz//5I4wIRFb7/GG+EN3RAiNtYd0UxaaeEUcd5XUpBU9BSkQkyyW8LiBLLMRyb7K5YDcoLnQPFVWwr+Pn+FgdX6b0rsgl7yRjXBBv5DZ/CXsHQq3eZ3dfkBJ1V9bJphJ0T83gwfvuJhRq/XspXUdBSkQky7lAvYb3UbVsrtQnOokuWOeHSrjcH2F0rIHX1J3MCa8kY/xfIsrDgRK2CwTWeL8iY+hpHJrmftmF1eUWm2ym0p3JuMcfZNiw/b0uR1CQEhHJetbCPAUpAOZiuT2pVdwK2V6BEM8GSrguHuVv8ag6lFnsqUQzN8QbGe8vYcO1hKjlfuULEmqc0wWV5R4br6d/uJpJr7/IHnvs7nU5soyClIhIlmvGMl9BCljalZpjU/ygeTIFrXcgwFuBEp5PNnN+vIGEwlTWuSfRxNhElDcCpfRoQ4gCGOYLUmkcmuZ/k+Hq2qa5OXtWCu3ur+O1l8ez+eabe12KrEBBSkQky1VjmV/ge0mtaJa13JGIel2GeCwQCPB2pDvTUkmOj9VRq4sNWePmeCNPJZp4K1BKpI0hCqCP4+P6QDF962dlRZjqMWsKFdMm4ps2kebGak9rMakmBg0a5GkNHRGLxTj99NPp0b07dXV1XpeTdgpSIiJZzgVmFPheUiuqilTyn1SSRTpxFuDlSDd6ASOaa5mhTqXn6q3LK8k4UyLdCbQjRC23iz/IjcFlYWreVxmosO2KjeH1om5cGChi8LzPqJg2kabZn3ZpDc3NSwhNe4P6GT/QOxzmhhtu6NLHb49YLMZJJ51Ej9JSBhiHgY6P7YqKmf3gI8QXL+GNN97wusS0U5ASEckBMxUaVjIPl/sTmislS90ZLucoX5CTYnV8mox7XU5B+ziVwHZyy4ad/EFuDhbTt3GOp4tPFGEoNobjAkW8Ei7njlAp+8Vr6fHDm7jT3szo0L/mmumU/TCRDWf/i/MCEd4pquACE+KBi/9M35LSjD1ue3z++ef0rKhggPEx0PGxfVExNY8/xXkxy9/CZbwRruClogpuD5WyneMnkci/hYL8XhcgIiJrt+eeezLn/Q+9LiOrXA7cl4rzBxuhSEsmC3BKsJhtEkHOj9dzjBtmF1+AjR0fpUbXjLvSG6k4B/iCnT7OL/1BbgXOi85lzlyXovW27fQx26O55icqV/jdYoxhW1+Asb4Ai63L04lmJsx+lyiWBSX9CffeIi2P2zT73/RtqqaHYxgVKGaoL4izrI7fBsIc5g/xx+YG1jMO39UuoaysLC2P2xYTJ05k5MiRNP00g6CFiDGc4Q+xa7iUjYwPfwH+LlaQEhHJclOmTGFzR7+uVzQiUskN0WrGJZs5KVDkdTmSJX4ZCPAypRyVaODZVAwDBIBSHDZ2fPzC8bOp41PAygBrLXcmmvg0leAfgfR0TLb3B7ndlHJudAGz50ylqO92aTluW9jaGWv8vdvNOIwMRjjDFvFBKsHfG+fw8w+zmGv8uH13IxwOt/vxmn58h342zsbGxzmhUrb2tf7YIWO4I1TKU4lmtqzoRr8dtuejTz5p9+Oty+eff86pp57KjC//Q3EqhR/oYRwOdQLsFCxhK8dPcTuCk4vt0FDPbKe/zCIiOSDWyaEy+SgMPJls5nf+ML4CvBIqrSsPBJgY6LbSbYsSCca6MR5INJEytASschx28/nZwxdka8dPUK+jDqm3Ln+INTDDTfKPQGlaT5i39QW4PVjCH5oWMnvWvynqt0Pajr02gVQzmwUia72PYwxD/EGG+IPMdVM8mmzmzdnv0mAtiys3J9xtwFq/vrm5mfCsd6k0sJsT4KxgGes7vjbVd0wgzAH+IKf8eyoDAkFmJjo+pPXKK6/knrvuwi5cRJCl8366GYdtHT+nOiG29vvpYxxMJ98fClIiIuKJJNBkrYaxreCDSCW7RWuYlIpzoD/kdTmSxXoEAlzGyidxX0Wr+SMuH6csL6TiOEA5hl19Afb0BfmF4yes99s6VblJRsfqWR/DW5HuGXmMX/gC3BEs4exYNXNmfUpRv19m5HFW1BMY1I6RAOs5Pv4ULOZ8G+HNVJyHFn/Hopr/MtsJUzRor5Xu29ywgG7zptLLGI7wh/hdIExZBzqk3Y3D+HA558Qb2KR3H76fP2+t94/FYvzpT3/iiYcfJlxbh2MMRRj6OQ4nOgG2CJawseOjB6bToWlV+XopUEFKRCQHmGWb8g4ybbtaWSgWYhmbaFKQknY7Bdjc8fNIuLzlttmJBJclG3ktFcPBUIbhl06AvfwBtncCRBSsVlLlJvl9rJ6z/CFGrKN701nb+ALcFSxhdKyG2T//i6L+O2X08XzGsIHT/nATMIaD/SEO9of4wU1xfyLKP394kyXWpb64D32iC+iH4dRAhEP9oU53QR1juDJYzGmLqhno+Oi5+eZ8+vXS1Q7/9Kc/8eB99xFeUotjDBGWPqdRToBtQmVs6vgIdeFrOhjs/Ny5bKMgJSKSA2JYFliXQShIragqUsle0Ro+SyXY3pd/w0YkcxYDZaucRK4fCPBgoKLl34sSCS5LRvlLLIbfGIoxbOf42dsfZAfHX9DzrFLWcmGsgZN9wYyHqOW28gW4O1TKWbElzJ75MUUDdsnYYwWg0z/fjRwf14ZKiVrLS8kY/2iq5qRAMbv7Amnt+HQ3Ds+Hy6mzLsP/+18GOD6KMAx0HM5yAmwbKmOTLg5Nq1JHSkREPLMIy3w3BQoLq5mD5bZElEd95eu+s8gKytaxC0yPQICxgf+9rqKJBJelmrgi1oBv2bCobRw/e/sC7OgLUFFAwerviSYarctJweIufdwtHD/3hEoZGatj1syPKBqwa9ofo7m5mSLSFzoixnB0IMzRgfYvQtEeZcZhwrIOazaGfL8//2JH/j0jEZE8lAJ+1l5SraqKVLJ302J+clNs0MaJ2iIA5e28Qh8JBLh5hQnziUSCMW4zV8cb8RlDGMMWjo+9fUF28gXokYUns+kww03xdDLGpDStztdemzl+7g2Vckasnlk/vE3RRnun9wHqptO3A8P6skE2Bqh8piAlIpIjZtiU1yVkrVnW5c5ElJtD2bFRpeSGsk52HQKBAFexcrC6yY1xY7wBYxxCwCaOn32cADv7AvTJg6DvWssF8XoO9wU8XYVtE8fPw6Eyzo7Vs2DaRKp77ExRRUWbv/5/m+ku+/9kHJIJwMXWz2LzNOyFJflPQUpEJAcMGjSIn2f87HUZWWt5V6raulTqiqy00apzpDorEAhwCQEuoaTltrvjjdyeaMQkHYIYNjAO+/qC7OoLtHmp62zyRLKZGtfl3EjJuu+cYQMdH+PD5fw90cRr1Z/gVLPaYE0DGAwLbIoexsG3bPl7AB8GZ9l9HMAHOBgc4zDMryCVbslk0usS0k5BSkQkB/z4449soU1512qRdXko0cSFXTxnQ3KTDzq05HR7nRUs5qwVXpMPxxu5OxFlbNIQYOnKgQcuC1ZdUU9nzHVTPJBs5kWPhvS1xm8MI4MRRrL2BS/2aVrMU+FyLWnvkXz9ruuvsohIjtCmvGt3KXBfKs5oG9HJkqxTKYZiD14nJwWLV1qg4cZYA9cum2NVjGFXJ8B+/iDbOn4CWfQ6ttbyx3gDezp+ynN0Y1Wd9HorHu/4psHZKrsvfYiISIskELUKU2syIlJJvXV5Ltm87jtLwQsDJVlwnfyPoRLeiXTnraJuPOYv5kc3wUXxBg5qXsIxzbU8n/D+9Zy0ljHxRubaFFfm8DzE3BtImT+8f6dlhsK5iEiusLDAumygTXnXKMbSORzH+cNp3adF8k8APOlIrU15IMDfV9jHamoiwTnJBrb1BdjIo/lU89wUo2P1NFiXtyLdPakhHQzod4LHEomE1yWknTpSIiI5Io5lvpZAX6svIpVEreVzN/8mNUt6GZYOpctm2wUCHOQEuCHe6MnjT0nGOCZWxy8cP2/kcIiC/O2I5AoHoyAlIiLeqcaywNUS6OsyB8uDySavy5AsZwyU5ECH4s+hEr63KX7swvd+zFr+Gm/ksniUe/0lXBbyfoW+ztIJr7cM6kiJiIiHEizdL0nWripSydduigbNJ5O1cCHrO1LL7dOFXan/ukmGNy/hX8k470a6sUmOLiyxqtz4SecvA6RS+XchUEFKRCSH/Kwg1Sa11uUFLToha2GAkNdFtNFloRK+symmZ7ArlbSW2+KNnBmr51R/mJcj3TL2WF5wFKU85QKlpbm7UMmaKEiJiOQIn8/HTJt/V/QyoQ4Yl4x5XYZkMT+5tfjAEMfPjYnMdKV+dFMc2VzL68kY//CXMDxQlJHH8VLu/KTzUwpLcXH+7fGnICUikiOSySR1Gq7WJlWRSuqt5RstOiFr4MuxU+srQ6X8100xI41dKdda/p5o4pTmOg72BZgY6U4gT4byrSq3ftr5xwUikbVvmpyLFKRERHJIXJvyttlsXB5MaNEJaV0ubiKwu+PnhjR1pWa7KY6O1fJ0oolJgRJOD+Zft2BFClLey8eQriAlIpJD4nbpilqyblWRSqa6SZr0/ZJW5GKQuipUyjed7EpZa3kq0cxxsTp+afy8lcddqBXphFcyQa8rEZEcYoB5WnCizeqty2uaKyWtyMUgBbCz8XFTB7tSC6zLCbE67ktEedFfwkV5sKx5W6kj5S2Llj8XERGPNWMVpNphMfCEVu+TVRwTrSaUQwtNrOi6cBlfuylmtrMr9VKimRHNtfTH8HakO+UF0IVaUW7+tPOHRUP7RETEY9VY5mpT3jarilSyGMsP+p7JCj4FSnP41PqXxsfNiWib7rvYupzeXMctiShP+0u4JlyW4eqyU+7+tPODBUpK8q8DqiAlIpJDUmgvqfaaZV0e1qITsoqyHO1IAdwQLuNLN8msdVwgeCsZ48jmWgLW8k6kO73zsCPQVrn7084PFu0jJSIiWUB7SbXPVcCHboK4Fp2QFZTl+Kn1DsbHTWvoStVblz/E6rky3sg9/hLuKirv4uqyT64tdy+5QUFKRCSH9O7dm9nqSLXLiEgljdYyKRX3uhTJIuUmt0+BbgqX8YWbZPYqXakPk3GOaK6lxk0xJdKdTQq4C7VcLKYFZ7zmADU1NV6XkXa5/VtERKTAzJs3jwZ1VtqtGssjCS06If9TnsND+5bbdoWuVJO1/DlWz5/jjdzoL+Gxogpvi8siCwF/7v+4c5oDNDQ0eF1G2ilIiYjkmJg25W23qkgli3D5WYtOyDK5PrQP4NZlXanXkzEOb17C96kk70S6sZ26UCuZB/i9LqLAOcCSJUu8LiPtFKRERHJMwkKzulLtNse6PKal0AUoAUpyfGjfcinrck28kYv9EZ6LdPO6nKw0H0swD4JzLrNAJBLxuoy0y4/fIiIiBcQAczVPqt3GAJNTcZIKoQWvCENxHgztA5gSqcQATfnxdDKiGlcdKY+5QDAY9LqMtFOQEhHJMU1Y5mjlvnYbEakkai3vaNGJghc0hmKvi0ijP+PjxkSUhbrA0qoaXIIKmp7ShrwiIpIVFmFZ5OqEqSMWYnlIw/sKns/mz9A+gAMj5dRYl/Nj9Vh1XFezxFoCGtrnuVAo5HUJaZc/v0VERAqERUP7OqoqUslc6zJPi04UNGPIq44UwBeRSqa7KZ7UhYLV1FtL/vVCJBsoSImI5KCfFaQ6bJ51eUonmwXNQt7MkVrRk/j4e7KZGbpQsJIGLTYhGaIgJSKSY4qKivhJc6Q67Ajg9VQcV0OgCpYFivPwxHpApBxjXc6L1ZPS67tFVB2prJCPGyMrSImI5JhoNKpNeTvh6kglUSwfphJelyIe8QFOHnakAN6OVDLPutyVaPK6lKzRBOpIecwBEon8+52rICUikoO07lznzLeWB5M60SxUvjw/qX4dH8+nYnzjJr0uJSvEsATy+0ee9RyWXgTMNwpSIiI5KIbVfkidUBWp5CfXpVpzzQpSvu8pVB4pp691uTBWT0y/J4hpjpTnDNDY2Oh1GWmnICUikoMcYJFCQKcswuWZhBadKEQ+rwvoAk9FKllgXa6N59/Ja3vFQXOkPGbyNMgqSImI5KAkMF9BqlPWB15MxbTvTgEqhCAF8GmkkrdTcf6VLOzBwEksgTydEyfeUpASEclBtdZlgQJAp7weqSRqLf/WPJKC8nS0Gn+eXh1vTT2WGxL5NzelPRJA0OsiCpwlP/9edThI/fDDD1x66aUcc8wxLFiwAIDXX3+dr7/+Om3FiYhI6xqA2VoCvdPmYnlAq5sVlOuA4gLJUftFq+lmHG4OlXpdiqeSQKCAwnM2coHy8nKvy0i7DgWpKVOmsPXWW/PPf/6T8ePH09DQAMAXX3zB5ZdfntYCRUSkdTNdDe3rrKpIJd/ZFHUaJlkwGoFyk/8DcvaNVoNxeChUxkCnUAYzts5FHSmvpYDi4mKvy0i7Dv0mufjii7nqqquYNGkSweD/Xpr77LMPH3/8cZuP8+6773LooYfSt29fjDG88MILK32+oaGB0aNH069fP4qKithiiy245557OlKyiEjeUUcqPRZblwnJ/NsoUtasLM+7E3tHqzHLQtSAAg9RsHQDZs2R8pYLlJSUeF1G2nVoBdD//Oc/PPnkk6vd3qtXLxYtWtTm4zQ2NvKLX/yCU045heHDh6/2+fPPP5/Jkyfz+OOPs8EGG/Dmm29y1lln0bdvXw477LCOlC4ikhcmTpzIHw/6lddl5AUXeCYZ4wR/GKOTrYJQluc/5ziGR0Kl9FeIApae7P4tEeXhZcN4V52ts+q/G7HUW8ufMBwe6dYVJUqO6lCQqqioYO7cuQwaNGil26dOncr666/f5uMcdNBBHHTQQWv8/IcffsiJJ57I0KFDATj99NO59957+de//qUgJSIFbdiwYfwhP+fudrkvIpUMjdbwlZtia1++7zAkAGV5PrQvhuW2RBN3Bkt0cQAow+FvoVIGO217f6esZXwyxl3JJq6NVnM3DjsoUHWKD1i8eLHXZaRdh/5iHH300fzpT3/i2WefxRiD67p88MEHXHjhhZxwwglpK2633XbjpZde4pRTTqFv37688847fP/999x6661r/JpYLEYs9r8hGnV1dWmrR0Qkm8TydBUkL8zG8kCyidt8hT0pv1Dk+9C+TyOVDInWcH+ymdMCRV6XkxUGmLZ353zG8NtAmMP8IZ5MNnNRspkl0Wr+gUO3LghUP0YX83fgE1wWAjGWzjGCpRvblrJ0zlcjUNHOoNzexV478lemta9pxHLBBRfw2WefdeCI2atDQeqaa65h1KhR9O/fn1QqxRZbbEEqleLYY4/l0ksvTVtxd955J6effjr9+vXD7/fjOA5///vf2XPPPdf4Nddeey1jxoxJWw0iItkqZSFmLSFdce60qkgl+zYtptFaivX9zEtfRas5HcNmxscQX/5vz/oKPg5NNrOV8bGrv7CXWggZOvR7MmQMJweKGOEP80CiiSNTMaqj1byzSqBqS/ApwhAAHAzGLA0bLktPxP0YHJZ2bXyA3zgUG9jC+CnFUIahzCz/cIhgeCrZzBQ3wUPB1i/+rC0AdfRzbfn8mlwcb2Dq1Kkd/Ors1aEgFQwG+fvf/85ll13GV199RUNDA9tttx2DBw9Oa3F33nknH3/8MS+99BIDBw7k3XffZdSoUfTt25f99tuv1a+55JJLOP/881v+XVdXR//+/dNal4hIVjBLN+Vtz5VWWbNa6/JyMsbRgbDXpUiaDY5Wsz4Ov/OHOC1QhL8AwnJ5pJzh0Vr+kmjkLsehBEMSSGBJAAlrScJKt/mBnZ1AXl2c+Sy6mEgnn0/EGM4ORjjRhrkr0cSIVJxg05KW8LNi8CnDLA0/KwSfYmMoxqz0/xEMEcDpYG0/2RRT3AQ75MhFgc0dH7NS+bc6aqcGgw8YMIABAwakq5aVNDU18ec//5kJEyZw8MEHA7DNNtvw+eefc9NNN60xSIVCIUKhUEZqEhHJJgns0iCFglQ61AJPJZsVpPLI2Gg1T2DY1vFxU7C04JYBPzdSzvPRakbH6pcOZrTgLtsa1TUGiyVpl3ZG4lgCGEqM4UBfkJMDRfTIg7lkZ+Gym5OejlyZcbgkWMwleL+Md64N2MyfaL6yNgepFbs863LLLbd0qJgVJRIJEokEjrPym9jn8+Fq7xQREWqsZZ6bghy5IpntqiKVDI0u5ns3ySZtnJQu2WtwtJp+xmGUv4ij/aGCXXThvUhlu+5fG61lt2QzryfjbOL4GB2MsFUOvx+qgc1zuP41CedtNMktbX5lrTqu8bPPPiOZTLLpppsC8P333+Pz+dhhhx3a/OANDQ1Mmzat5d/Tp0/n888/p3v37gwYMIC99tqLP/7xjxQVFTFw4ECmTJnCo48+mpagJiKS62LAz9pINq1m4/JQoolrQ1p0ItuMjVYzDpjL0g7K2vTGsIcT4PpQCb3yoKvSlcoj5Xy97L93i1YzurmeCmP4vT/MAf5Qzu3H1B3D4DzsRBaZpXOuxFttDlJvv/12y3/fcsstlJaW8sgjj9Ct29LJdosXL+bkk09myJAhbX7wTz/9lL333rvl38u7XieeeCIPP/wwTz/9NJdccgnHHXccNTU1DBw4kKuvvpozzzyzzY8hIpLPftKmvGm1fNEJLeLhjcHRavoah9Jlk++XfxjAb/wMMLAJhiJjCLP0qnwRhrCBIuNQtOy2/o6PXdWp7bQPl3Wz/hqt5epElNuSTRzqC/K7QBHdcySgFmMYlIfzSIMsfQ+It4y17V0IEdZff33efPNNttxyy5Vu/+qrrxg2bBhz5sxJW4GdVVdXR3l5ObW1tZSVlXldjohI2my44YZUzviZp8LlXpeSV3aO1nBJIMLhmivV5baOVvOXQLHmqWWpmdFaDiFJD+OwpePjwkBx1s8727dpMRPDFXm3wMh7qTgXxRr4KNLd61LaZHSsjompBB2IHWmXzmzQocsJdXV1LFy4cLXbFy5cSH19facKEhGRtvnxxx9pzII/SvmmBstjyWavyyhIPXHYUZ2krDUgUs6XkUomF3Xjw1SCE2N1/CMZW/cXeigEeReiAELk1tC+/PsJLNWhIHXEEUdw8sknM378eGbNmsWsWbN4/vnnOfXUUxk+fHi6axQRkTVo1qa8aVcVqWQxlhmuhk12NZ+BDXNkyFih+3ekkj9YhyvjjdwRj2ZFp2FVL0QXU9qxU92sF6LjS6d7weRplOrQq+uee+7hoIMO4thjj2XgwIEMHDiQY489lgMPPJC777473TWKiMgapIBoFp7A5LqfrcvDiSavyygou0Wr6YFTsKvr5aIjIuW8jI/nks2MjNXTlGW/iy7HZcMsH3rYUSFjcLLs+702+fqu7lCQikQi3H333VRXVzN16lSmTp1KTU0Nd999N8XF3q+tLyJSMCws1Mp9aXcV8K6bIJFDJyq5biGwu4b15ZzySDnvRrrzLzfBUc21zM2CTu7i6GL2jlYTBbbI1yCFyakuT372BTu5IW9xcTHbbLNNumoREZF2ShjLAusyUJvyptWISCW3R2uYnIpzgF+bvHeF9YzDbgpSOeuzSCW7Ras5LlbHDYFifunv2Ca41lrqsCy0LousZaGbYi6WOW6KudalxroMdvwc6A/yeKyed1g6zK0HBrNsSfCIMWztBDnK+Dg4T9+/QSCXmrc5VGq7dChI7b333mttvU+ePLnDBYmISNtVW6uOVIYsxPJQollBqosEgC3zcOPUQvJhpJK/Rms5P9HIGTbFsf4wxhistTQCi6zLIuuy0LrMsy5zXJc5NsVCa4lhiQNxLAawdukc0MVYEkAJ8EsMN+PjsFSMZ1MxNjAOp/uCbGZ8DPL5GWh8lORSuugEu+wjV+TrT6VDv7G23Xbblf6dSCT4/PPP+eqrrzjxxBPTUZeIiLRBHJijIJURVZFK9mlazBw3Rd88HR6ULcZGqykxPu3dlQeeJEnSwn2JJh5NNuPDEMdiAWMhbiyLraUZCAObA5fiZ5tIRZsf43Ng76Ya7g6VMrhAw/fnqQSLc+h3fy6Fvvbo0Kvv1ltvbfX2K664goaGhk4VJCIi7TMrC+Yk5KvZ1uXxZDMXBTX/N5NuAY4r0BPifDA4Wk3PZRslb+/42dcXZGdfgE2NLyNLj+8erWYjx1+wIQrgTTeRUxvy5utfqbS+Ao8//nh22mknbrrppnQeVkRE1mJ2Dl2VzDVXAven4lxgI/jULcmY7hiG+Do2p0a8cXO0mkeAHsZhPyfAb/0hdvMFCXfB+ySAw4WBwr648b2b5MNIpddlFLy0LqLx0UcfEQ7nUj4WEcltEydOpFpBKmNGRCppspZ3U3GvS8lrxcawva9wuwu5ZHC0mt2jNUw0Dmf6i3g+XM7YcBn7+ENdEqJ+Ha2mt3HYpoBfL3PcFAmvi2inVJ4O7uvQq3DVTXettcydO5dPP/2Uyy67LC2FiYjIug0bNgyd4mfWfCwfppLsrUUnMiYMdNNGvFnrkWg11wN9jMNOjp8z/GH28AU92RB2MYYbAkVd/rjZ5MNUQhfQskSHglRZWdlKq/Y5jsOmm27KlVdeybBhw9JWnIiIrFszFmutNjLNoBk2X0f4e++raDVx45C0NiPzaaTjBker6Y2hyDic6gtyrD/Meh4uvPKHaA3djcPOBb5M/qRUnJ5eFyFAB4PUww8/nOYyRESkoyxQj6UsbxeY9dZVwNO6+psxW0UqiUZreD0Z49CApgd47eZoNQ8BvYzDbo6fU5Z1n7JhjuBnBq4IFBX0RSNrLT/ZFJM0PyordKiPvuGGG1JdXb3a7UuWLGHDDTfsdFEiItIOFubpRD9jRkQqiefp+P7sYbk32Yy1+j57ZXC0mj2bFjPROJzhL2JcuJxHwuXs5Q9lRYi6K7qYUgz7FPiiJDOtS9LrIqRFhzpSP/30E6nU6sMcYrEYs2fP7nRRIiLSdo1Y5lmXTbwuJI81A661nswJKQQfRirZM1rDx6kEu/oL+0S5K02NVnMc0AeHvZwAp/jD7OILZOXr/HEsF/kjBd2NAngvFc/JC2f5+lNrV5B66aWXWv574sSJlJeXt/w7lUrx1ltvscEGG6StOBERWbdqLLPdFGjP2IwxQC2Wbnl7OuC9uVjuTDYpSHWBX0ermQeUGIeTfEFOCRTRI4sX+/gwupgSYzhUC74wKRVnB6+L6IB87TW3K0gdfvjhABhjOPHEE1f6XCAQYIMNNuDmm29OW3EiItI2M3LwCmUusRZqrKWbclTGVEUqGRpdzPdukk0KeKPVTBocraaPcSg2Dn/whxnuD3fJkuWd9QdcRvkjBb8YiWstc6yr+VFZpF2/qVx36R/qQYMG8cknn9CjR4+MFCUiIu0zU6vKZVTCWGqsy0Zq+2XUbFxuS0S5O1TmdSl5Z3C0mv7G4YpAhCG+YM4MkVscXUyZcTjar4VIvrUpkppHmFU61MedPn26QpSISJa45JJLWKCOVEYtsVb7tnSBqkgl37op5rm6MJBufXG4MVDMnv5QzoQogL1wOdQXzInOWaZNScaZlbeD5HJTmztSd9xxB6effjrhcJg77rhjrfc955xzOl2YiIi0zTXXXMOE627wuoy81gQsVJDqEnOsyz2JJq4IlXhdSt4YHK1mf1+AHXJw/lkP43BKgW/Au9w7qQQjO9YDkQxpc5C69dZbOe644wiHw9x6661rvJ8xRkFKRKSLxXSVMuM+dhP8Dp3QZdq3kUr2bVpMzFpC6kJ02tRoNf2MwxXB3Aumm0WrOcYXoiyLF8LoKglrqcbl/Eg3r0uRFbQ5SE2fPr3V/xYREe8lLTrxzKCqSCXDmhZjrc2pYVG5qsFaXkvGOEIb9HbamcAJvhC9cjCM9MVhZDDidRlZ4Us3ScLrIjohXy/1dehddeWVVxKNRle7vampiSuvvLLTRYmISPsYA4s09CyjEtbyjRb16BJJLE8mY16XkfO2i1ZTYRxOy8GhcVtEq/mFz5+TATATJqfizM3h3/EKUisYM2YMDQ0Nq90ejUYZM2ZMp4sSEZH2SQLzc/iPbC6YheXsWD0vJpqxWjkro0oBvxp/nVZqHC4ORAjmYBe1t3E4N6Bu1HIfphL8LYfnR+XrX6cO/UTWNLThiy++oHv37p0uSkRE2meRdRWkMqwqUkm1dbkp2cQJsTrmamW5jJkN7Ky9pNIiF+cX7RitZiPjY6Cj7QYAotZSh2WY5kdlnXb9lurWrRvGGIwxbLLJJiuFqVQqRUNDA2eeeWbaixQRkbWLAz8rSGXcF8s2whwcreaYWB2n+MP8zh/WvKk064VhJ1/urTCXbeZal/dScXbwBbwupV2KcThfc6Na/NtN0KQueFZqV5C67bbbsNZyyimnMGbMGMrLy1s+FwwG2WCDDdh1113TXqSIiKzbz+qQdJmqSCV/iVZzb6KJD1MJbg2VUqQwlRabR6sZZHxsq45Upw0CPkwlOdfrQtrh0Gg16zl+ttDPv8U/knEW5+0so9zWrlfpiSeeCMCgQYPYbbfdCARy6wqHiEg++1kLIXSpq5d1p3aIVvOb5lruCZXSX0OROuUX0Wo2MT4eDpcRUTDttDcjlezXtJiktfhz5PtZh+Eyf+4tjpFJ/3aTvJrD86Ogg3OJckCHntdee+3VEqKam5upq6tb6UNERLqWtZYlGvrhiX9HKvnepvhdrI73knGvy8lZ20er2cTx8Xi4jG45OK8nWyWt5b850q3+Q7SGbsZhxxwbiphJS6xLE5YNc3x+VG7E+Pbr0G+qaDTK6NGj6dWrF8XFxXTr1m2lDxER6XoJDf3wTFWkktnW5c/xBv4Wj2pVv3baPFrNZo6fx0LllCpEpdVsLB+mciPgfwaMDhRpzuEKPk4lqNPvk6zVod9Wf/zjH5k8eTJjx44lFApx//33M2bMGPr27cujjz6a7hpFRKQNmgFXf3A9UxWpZDSWx5LNvO/m8taZXeuraDW9jcNtoVLCOoFOuxJgSg68Hh+MLqbEGPbRIiMrmZSKY/PgIlm+vrM7FKRefvll7r77bo488kj8fj9Dhgzh0ksv5ZprruGJJ55Id40iItIGBqjJgz+4uWxEpJIaLItdraDYVicCv/IFtfFqhkyNVLLAull/keXvWH7vL8JRmF7JN26SSXkwwyhff6od+snU1NSw4YYbAlBWVkZNTQ0Ae+yxB++++276qhMRkTZLWctcncBnhToF2jYrxeG0gBYXyKQUlllZvD3Ch8u6UYf5Q16XklXmuSliQLccnx8FYPI0SnUoSG244YZMnz4dgM0224xnnnkGWNqpWnFJdBER6TpLsMzVyn1ZQXMa2i6OZWoq+4ee5arB0WrKcOifxR2/s3E5xh8moG7USj5IJajO4gDcHvn6k+3Qu+rkk0/miy++AODiiy/mrrvuIhwOc95553HRRReltUAREWmbBsjqq86FREGq7RZieT4V87qMvNUXw6WBSNYu4LA4upgK43CMP+x1KVnnzVScXl4XIWvVod3OzjvvvJb/3m+//fj222/597//TY8ePXj88cfTVpyIiLTPHAWprFCroX1t9lq4nDNj9aSsxZelJ/u5anC0mt0cPzv6s3cBh71wOdkX1obWq7DWMt2mmLRsv7pcl7390M5Jy/MaOHAgw4cPp7y8nAceeCAdhxQRkQ7Q0L7sUK9A2ybvJGP8qrmWMkzenmh1pUei1QyOVrN5tJqh0Rp6Y7gsWOx1WWvVwzicojlyq5luXZJ5dD2mQ52bHJCvz0tEpOAcddRRVD033usyhMJebGKJdXk/GedNN8FPboooFgfwY/ABPYzhllApIQzXJ6KUA8N8wawdepbtNolWsz4OfgMlxscRjo/tnQBbOH4GO76s7vRsFq1mhC9EeRbP3/LKu6k4c8mPCzJvJ2PMzNOLSwpSIiJ5Yty4cWzu6Ne6164CnivAOVJ11uXCWAPTbIo661LL0u/FiFWGJm0ereY3zbUYoNG6nAo8lYqxadLHPlq1rd3KgZGBIn7rD+VcGF0Ph7MCEa/LyEr/SMUZlidLNFyRiDLHuuy0005el5J2+osrIpJH4gXcCckWIyKVPN20xOsyulS1dTmhuY4ZNsVX65jT8d9WPv9utJq/JqLcmWgiiKHSGHoYh97GoadxqDQO3Yyh27L/L8Nov6FlyozDAf7c6+htEa1mmC9Ib0fdqFWlrGW+dXk80t3rUtIiwtI5X/moXUFq+PDha/38kiVLOlOLiIh0UsJCzFpCOXZSlW8KaabaXDfFSbE6frQuVR2cGP/UCl93VbSaR1Y55yplaWDwW8CACwSAAIYAEFoWvnoah17LPro7DpUsDWQ9jJOX74kdo9X8wgnk5NC43sbhPHWjWvW1myKRV8Ej/957y7UrSK1rj6jy8nJOOOGEThUkIiId5xhYZF3WNz6vSylohRKkZrgpTo3VMaMTIWpVl0YqubSdX3NhtJoXVznvrABKjIMPcC34DAQxBIGIMfQxDust++hlfPQwhsplISyc5aFrarSaszHs4gtyU7DE63LabZdoNVs6fgY6+j3VmndScWbn0egCN4+ey6raFaQeeuihTNUhIiJpkAAWWJf10QmKl/I9SKWs5Ws3xbnxen5OY4jqqJsildzUjvsfEK3mXyv8u4RlHS+W/uzO8xfx60B27mt0VrSar3AY4Q8xOlCUc0P66qxLNTDfWmqsS/cc7KZl2nupBFfmyTqW9dYl6XURGaQ5UiIieaTGuszL09WRckkyx6/AvpeMc22ikW7GIWGhednzsUAKS4ylXZ5ZeB+iOmLiWmq+MFrNzYko/3ATXBcsoTiLgsrgaDV9cbg4GOFXObgwR6O1nNhcRwj42aY4vrmWR8Pl9GhDmEpYy2dukleSMcqM4Sh/OC87WjFrqcHlmEg3r0tJi59cFzevhimuTEFKRCSPNAOzFKQ8l4Kc3mD2jkQTVdYF69IL+CAHw1JH3bTsuW4ZrebpZDOnZskeR4Oj1QwwDrcFS9jaF/C6nHaLWcspsTp+WmFBkq2j1RzfXMvDoTL6tBKKFluXKck4L6Zi/GxdYlgWWYsFXk/F2dzxcXuwFH+Ovs9a85mbpDmPgocxy/8nPylIiYjkmTmugpTXHCCKpTSLJ1nXWpePUglmW5cNjA+/gWrX5eVUjOoc7TSlUxz43E0A3gepbaPVbGZ8/D1U2mrgyHZxazktVscPbpKpK7yu/hOpZPtoNSfE6ngoVEZf4zDNppiYjPNWKk4dlsXWZQPgH628HneN1nBBvIHbgiU5N8RxTT5NJViQ4x3tFTVYSzKPguGqFKRERPLMnLyfoZMbGqylNIvO7aqty0WxBkIs7ZhV2RSLrUsDUIHBAeqxJKDgQxTABOAvWXBRYvdoDds7Af4WKiWSg2EhZS2jYvV87yb5tJXX1WeRSnaJVnNcbOmQv4SF2bhcj8Ph6xje9lGkO0ObFjPfuvTJkwV2NnZ8lHpdRBq9kGxmXh4Fw1UpSImI5JFLLrmE166/wesyCl6TtXzhJlkvi7oHl8cb+MBNtMRshaW12ypSSUPTYqy1nnU7tolWc6AvyHXBkpzcN8u1lvPjDXzjJvl4La+3jyOV/Du6mA2Bbu2cG+Rj6eqM+WJrx0+3PHo+i/M4RAF5siSIiIgAcM011xDL779bOWEhlvsSTV6X0eJfyTj/SaX4NlJJ1bIPaZs5Hs457GEcLg0W52SIstbyl3gD/04l+KANG8vuEOnW7hC1XHGHvio7rb9syf58ke8dGwUpEZE8E8/zK4C5oCpSSbV1+cr1fuHfmLVcnmhkDt4PU8s1DdZSZb0ZKjs4Ws1uToCyHOxOWGu5KtHI+6kE77chRHWGH/JmfhQsfS7lOLwZXex1KWkRzOJ5oumQe+9OERFZqwTk9eTeXDEHy/OJ5rQf11pLs7X8Ixmjfh3dkiZrOSlWx6Is2OspFxUZQ7kHJ4JTo9X0Mw6jsmTFwPa6LRHlzVSC9zIcogB8eXiivo3j5w95cuEj34NGvnfcREQKjgGqraV3Hl2lzVUz0jgszFrLQizfuUlGxeppAj4tWvNQqEXW5bTmOmbaFP9WiOoQHzDY6dpTpc2j1fQxDsf4Q1k1x66t7ks0MT4Z444u6ozn44nsTj4/L+bJmkG59wpun3x8/YmIFDTXWhbi0jvvrwVmv+JOZNmktUyzKQYZH/VYLoo1UOUmwRhiwFbGR/kahn397KY4OVbHDHWiOiUIlGTggsQvo9VLf3bLNjtevGy1xH44HOQLcnGwmF45OKTviUQTjyWauAPLdl30usvHE9ltHP8a39u5xp+HHcMV5ePrT0SkoDVgWaBNeT3XG8PBvlCb7lttXa6NN/KjmyJoDMf7QtyVbKLZgs/A5sbHe26iJRQNaarh3LUM+3orFVeI6qTDo9WUm/SeJm0SrWY9DAf5QpwVKKIBS7W1LHJT1GDZ3xfMyS4UwIREM/ckmvh9F4aoF6KLCTv5EThW1Mc4eXMZLPe2jm4fBSkRkTyzBJjrpvJ/TEWWc4zh41SCz9wkp/jDBI1hhpviBzfFK6kYC6xLMQ6/9gdZaC2vpeIkgO4WrnVTLMBSFalki2g1zda2hKLdo9WUGIchvuAaH3tnX4D1E/lyKuaNr4ET0jisb8doNYOMwzWBYnbw/+9nNxjAl9unm28mY9yajHI4lhO7MLw/ikufPPxFZ4xhmC/IkGhNl8wzy6R8nMO2IgUpEZE8lM65OdIxtdbliVSMAPCPVBzD0o1w51l36Ya4kUoGR6v5MZEkgmEg8HorJ6HfrHJbAjjOH17jktjWWt5OxjFavbFTwsC2HewODY5WAxABKjGkMPzKF+KSYDHhPJu7mLCWaxNRBljLBV3cAf0R2CxPhsCt6oJAhP+6KbaLVjM1hzvL+fVqX52ClIhIHprp0ZLN8j9frOHkJ2ktBzUvAZaGqT2aang93K1Nc3HGRaspMw4j/OFWP+9ay//FG5niJhitINUpPXHYzLfm06Qdo9UsYemJVE/jEGDpCmURDHs7ATZ1fGxmfAzy+RlgfBmZa5UNPnOTJIHHPTjZbwK65+n31TGGO/+fvfOOj6O62vBzZ2aLRs3yGmPTm+jFhF4CmObQawKE3kMPEEKvoX+hQwIhCYSEUEILvYMxvZpeTCjGYGN71Hd2p937/aGVkW1JVtkq3ef3W5C3zNydnZ297z3nvCdRy6+yrWzsOn02NNaUDi2kNBqNZpjx1FNPcdovdiz1MDQ9IJXiOK8dt5s9fQJBgKI/a7fnAL8wTBI9TB49pTjRa+cjGfarAaqmb0IUh2bb+DEnSMciqMod9yoEqxgWqwiT1QyLFQ2T5QyThmEaHemLtJKoErVbkHR+f4Yr1UJwS6KWA702LnCbuWCQDYs1hUMLKY1GoxlmbL/99pxY6kFoFiKjFL/z2vl4AaETqU6zif5OwpcW86ebNSvJf0KP+8IszUryll65zgu1wuDMmM0LUcByhsFKhsVywmBxYfSaVjkS2dpK8FDkM8F1mFrkc291KIum14VkKcPkilg1v/fTpR6Kpge0kNJoNJphiK/TusqKb2XEsV47M1XEu90mm42uw0rCZEXR/1qcF6KADSOfGHBbkOUrGTEHyVKgRVSeaHQdtjRibG7F2dzq3dRD08nl8Rr2zLbQ6DpFdYr8r51il0xL0faXb2QukrcoYb6hFacmcHnHbWY9HZUqK7SQ0mg0mmGIh+LR0GMnM47Qq+clRSnFMV4b03qwI59mp9gm09zvz6jLoOIMr4OYgFnd3Pw0+WXdIjfirWRsIbguUctR2Xb+4TpFde5zUfhKEa+g61yoFP8NPW4NM0TAmobFXlaCjYwYsV7ex5ZmjH3DLNOKO9QhY1TOxzIo9FVCo9FohiHR2LFcOXsO94ZZrojXVGxvmkpGKsX7MsSgM62vN8GjgDlKslg/U/u0cCo8YxCs3YfRhGZhVjEsjowl+UuY4eAi7lcpxVcqYtU89/wqBJFS3Bd6/C3M0KEURyA4zG7gZ67DW1HAOMPgvuSoHl+7o5Xg8dAr7oDzwHCvGiz/s06j0Wg0A2bWrFlAZz+S/bw2DraSHNyHZbYmf8yUEc9GPg+Gnb2iJDCnl1TLSa6DKQwahnHBfCViC8HKFTAxLzf2t5L8J/TY0nWYXCTBPxvFx1HIqmUeQfxChpzmdfCjkpyBYPdudZJd6b7bZJrxlOrRTGZ1YWJV4PW78kY8MIa7UNRoNJoRjVKKg844nVuDDHtmW5k2zAuzS4mvFOd4HezvtXF54PKhinjZHs2r9uheo0hfAWsZVkVOkIYzJjBWfyYDRgjBpmaMH4q4TxN4p4yva55SXO6nOcprx1URSwmD3Xupc4qU4gvZc+sKIQQNGLzqNhdyuHlnuAuN4f7+NBqNZsRz6aWXMltJPlYRR3rtXOan8UpkVzyc6CoUd5TkoSDLr7KtPBt5PF/VwMd2qt8peGP0T3FZ8Q/XoQahawsHwVcy4onIZ7si7vPvGHxWpkLqzdBn12wL94VZXqxq4Bk71acN0EwU78ug18c9FJtWmNnEcE8qL+84qEaj0WjyRlevl1FC8GLkc2Gsmo21I9mA+UZG/NZrpw1FHAjotCBvZ3D1S2MMLaTKiYuBPXRN4YCZGgWc7HfwvZK8WMQ6vvXsBjoyzSilykb8tivJhX6at6KQdVBcP4DjMVfJXh/LVpAba6AUt4VZHon8Ug+loGghpdFoNCOMltyE43Q/zbqRxwXxakaNwEaig2VqFPCZivgsT5PFMcO+iqCyiAM/M2KlHkZF8XzocaHvMpuFnSmLQQTMUpLxA2gj0J05SnKT7zJbSXzg/Hg1Sw9STD8VelwZuDQpyXs9HIu+pNCSwmAPK9njY1mlCCpER70S+lwUpGlVij/e9ncOOeSQUg+pYGghpdFoNCOQruhUQgg+yIacGbPZzkqUeFSVwdZWnGXCTF565owCGnREqmxodB1WFSa76u9Cv7knyHJT6NKAKprBxIK0KcUnMhqUO+m3MuIIr41vlWQ14HvgIK+NP8aqWW8AEfvZSnKG18GXMuQQBIf1cizSKAKlFrI5v9RtZpQQLNvLe5ilZEUsuTwQZLkqcMnU1tDW1lbq4RQcffXWaDSaEYynFN8pyR1httRDqRjqhNFvq/K+mOw6VAmDURUxPRr+NLoOywiDvybqsMskRaycUUpxrZ/mpsDlcKX4b4lEVKPr0ILi+cift0A0EK4I0sxWki/sFP+1U7xtp9hYwcl+Bw8E/bsuvhb67JNt5XUZ8JI9msP6qGNqU5KDvTbaF0jhuw3JhD4s96dGAekyT+0LlOKmMMNex/xmRIgo0EJKo9FoNMAGOpVpQPw+ZrOCMFjLdQb0ukbXYVXXYedMM9cLkzUNkxV0PU7JOcB1WAKD6+I1LK4jhIskUooz/A7uDz2uQxW1Ae+CxIElgZekzx7ZVt4KB1aTk0RQs8B9l9kNXIPgmsDlMj89z1imN96XITOU5JN+HIfX7BQfy5B9s23M7ObQdzcGz4YBtwWZhV4zXUZcG2Y4qswXXT6SIRHwpz/9qdRDKRr6aqHRaDQjnFEI1tLNR/vNvUGWaTLir4k6FhcGjQMQU9PsFIsjWNEwub9qFH9K1FGv69NKynuuw3QMzorbrGnqBYVF4SnFUV47r0QBU+zRrFsGDaJPj9cwpWo0cRXxOz/NQdlWvuynk18dgp5iJ+vZDUyxR/N46HGU106mDzFVO8AI5vt2ii9UxAFe2zzHwfXsBv4L3BZkuMRP87EM8ZUioxTHeO0ESvYZ6SoHHok85vRhljEc0VdvjUajGeHUCcGqgyzSHmk8E3rcELhcGqQ5xGsjRHHTALcx2R7N1CjkozK1bB5pnIhgHyvBJF0XtUjalOQAr5X3ZcDL3RrKlpJaBMmckLnXTjHZbuBTGXKk184pXjuzFzGxX9ewGIXgmF4WRKbYo3lPBuybbe11W7XCGHCsaJqdYrqSHO218VIuitZgN/BfBHeFWU7ItrFDtoUdsy3MVBGvlIFgXRSvRMGIa62hlyA1Go1mhGMC43RUpF/cFGQwUbw7xEnNDyiO89rZxYxzUsxeqPBcUxw2dB02NeMcG6sq9VDKHpmLjHwqIz4qo0l9AsHoBWTMW7nxrek6vJcNmWTGOT5mU9PD92y3WJIlhcFZQZr1XId3enhv79gp1nEd9su2cn2iljWM+afP1T2kB/aHaXaKrVyHc4I056PYxkrQYDfw0SC2VWo6I2ilHkXx0b+cGo1GM4JZYYUVqBdG2fRfKXeyqLz0yJlmp7hISe4PPfbKtvK/brUSmuKwmuuwnGFyZbxGn//94JYgwzdlJqIaXYelDYN1eknJ/MhO8YCCu8Isu2Zb+HuQwe8hYrK+Fefh5CgmmXG2dJt63Nb7dopxSnJstp3HQm8+Y4tqIagaZP3Si3aKH5VkVgWnxEmlOMfvYAaV+x4GixZSGo1GM4L5+uuvWceo/OSERtdhTddhfbeJlV2Hxtwtn7QrSZDH7W1pp3jNHs2nKuKwbBuPh14et65ZFIsj+H2smrgWUf3i0cjnxjJzjVtKGFwc7zsW1GA38L6d4v9UpxjcOduykBACSArBxfEaaoXg1F7E1J12ipOBK/w0u2VbeSb0yCrF05E3pCMzXhisWcHX4XtDj9lSDso1sdKp3E9No9FoNEOmBli/gn/A93EdpiNYQ5j80kqyhGHQrhQtSvJ05LOZ28Q/UKw0hFX0SCnuCbPcHmbpUJIvXYedAAnYgJt73mB7Sk2zUzS6DneFWXbUdTpF43sUUyKf9bXBRL+IQVkYS3QnDizXT9fL9ewG3gBucpu5zE9zi8hwTsxmw269ogwhODVmc56f7nU7u9sN7A6c6jZxkZ/GEC4ZJXlqCLEJU8HKFXod9pTi1pzl+UikMj81jUaj0eSF0cJYKN+/ErjLdbgOQbUwOMOqYhcrgbFAZOFAK8mfgwyHRR6B6/DaApPARtdhnBDEEQggojPqdDHwCzvFPq7DdclRHJ0rWE+hSACHCYMthcmywuQTFeIqRdMQV2Kn2Sl2ybQMaRuagbEd8GIUcHKpB1IhlJsdzcOuQ9UgTHKOsxs4Dtjfdfid38EyocmpMZvVDYsIeDzy+xWlvCqPZhsJAVUVGhl9IfLJKDWiLM+7U3m/nhqNRqPJGwad6TGVwhauQ4SgRhgcZSU50Er2atQghODYuM2GocXpQZpVXGdeBv84BHuZcfawkqxjWCSAJhQPhh43hR43ZlpICpN9s618j6IKsIXBOAx+F6uabxVbKsX22ZYhvzcXhVRqIUGoKQx/slNsnWmmWUkaKug7UCqSQrCb65Ss8e6C/B44cAj97+7MvY+NXYffeu2Yue9dk5JMLeJ7XMV12KQCF7OgsynzzUGGZqvcZHbxqMxPTqPRaDRDZsstt6QOURGF9qu6DmMR1AmT42NVbGfG5018FsX6Vpx7TYvHQo8s4CvFKobJdguk0aUQHBGr4ohuDm7TZMgtQYbVDIvdrQSp3IRbKsVzkc/XStKmJANrAdo7PyrJeG1FXzRaleSl0Ge3WLLUQyl7UsLgzVIPIsdmbhNjEOwRG3oq7OslFoYSWK9CG6I/G/nMRRIEI89koouSLsG89NJL7LLLLiyxxBIIIXjooYcWes6nn37KrrvuSn19PdXV1WywwQZMnz69+IPVaDSaYcZLL71U9ml9ja7Dlm4zPzMsLo7X8Eiynl9YiX6LqC5SwuCgWBVHxao4Pm4vJKJ63b9h8cdELYfHquaJKIAHQo8z/A7+L3C5Jczyqzw4bmWU4iul3fuKSRtwS5ihvYId04rFmEG60uWTCa7DZm4T25hxnqgaxeplfv3qD4shmFCBDdFDpbgzzPLjCDSY6E5JP7l0Os0666zDYYcdxp577rnQ4//73//YfPPNOfzww7nwwgupq6vj448/JpnUK0cajUYzVGxgwzKdiDS6DksJg+3MGMfF7LITfO/KgDYGbzDRE3NQfCkjNtMBqaIxLdcf6AivnTsSdSQqIDpbKhYrcfrj1a5DNYLz49VsZ8YrIpLeH6qEKGtBKJXieyX5QkZ8LEPelyE/KkkG1aOV/EijpJ/cDjvswA477NDr42effTY77rgjV1555bz7VlxxxWIMTaPRaIY9YzBYs4wcy750Hfam0wBjHzPBUbEqlumnI1cxmRoFPBt1GqEPxGJ9LIKkEBhALGdwIehMDRHAqsIkWQar/iON9+0UG7oOJ3jt3JyoHbY1atNlxBcyYpoM+UJFTJcRWRQKiCOwhWAJYbCyYbFXtzTWLkotpO5FsKMVH1YiCjon4gse62KglKIdxRylmKskTq6X1Q9SMlNFzFGKLAo3d460K0VzzuS9awHp6dDjbL+j6GMvJ8pWAkspeeyxx/j973/PpEmTeO+991h++eU588wz2X333Xt9ned5eN5PvTja2tqKMFqNRqOpQAQsUyZF9mu5DmOEwa/N+EJpdOVGQgjWNywEYIpOQWTmbgZg0CmWTOAr1Tl5PS5WxaqGxUqGyegKqUsbSbxpp9jMbeJcP83F8eph9/m8Evqc4adJI2nP3XcOcHC3iOqWrsNbQCLyuTvIsrppcnzMZtVctKRBGNQXfeQ/EQP2tpLD6rPZynVYXBRuKt6uJA+FHt9IySwVMVspfLpuORT4KJq63wfsA1y8iIj7JzKkpTBDrxjKVkjNnj2bjo4OLr/8ci6++GKuuOIKnnzySfbcc09eeOEFttxyyx5fd9lll3HhhRcWebQajUZTeSQQJV993911aMFgTzPByXGbUWUsoLpYzbD4U7KuX889JNtKM4qDuxlYaMqTV+zRbJFp5s9BhmPjdqmHkzc+lSFnBR0YKN7tY2I8uYf2AB9F7YwRgqNiVXwlIxIlipg2ug6bGVZZp8ANhu+BNYz8H1NfKf4ZZrkzzDJHSbK5+/sjjgZCTQVcrwtN2Z6RUnYWfu62226cfHJnl4cJEybw6quvcvPNN/cqpM4880xOOeWUef9ua2tj6aWXLvyANRqNpoIQQrBlGThFfQqcGkty1DAUGrNkxHQl81pHpSks1ynJSWGWpQ2TXYZBc+TvZcTxXjs/KDXg87Dr+Y2uwwV+mgBFayEG2Q/GITh8GF4jptkpJmaacZTMSxReKcXjkc91gUurUuyL4uQCXX8eDz3uDLOkUiP7+la2UnLMmDFYlsXqq68+3/2rrbZan659iUSCurq6+W4ajUajWZiNyqA+agkMtiyDcRSCO8Iss7QbXEWxrp1icxQ3Bi6ywgvpm5XkcK9tyGJ+mp3iVXs0b9kpvijRokAEmMO0fnC2klznu0Pezpuhz27ZVi7z0/hK8oY9uqAi6jI/zZk33sDcuXMLso9KoWwjUvF4nA022IDPP/98vvu/+OILll122RKNSqPRaIYH44XBz4qcJjPRbSYhBBkl+VuuaDkhDFYehn2TPKV4OvJ5mM5VYmBY1XYMZy61U2zuNjE58plYoVGprFIckW3j22EQEd0q00StECWtzyokH9spJrrNzFWSMYOISn0pQy7000yXET8w8MjjQFFKcUPgctJll3LssccWdF+VQEmFVEdHB19++eW8f3/99ddMnTqV0aNHs8wyy3Daaaexzz77sMUWWzBx4kSefPJJHnnkEV588cXSDVqj0WiGAZbqrPUZDI2uQzWQwqAJyXv9+OFex3X4lZXk7Hg1l/lpdguzbEGnQ99wFBi3h1nalGQlO8WemRYi4K5kPfYi3qtSiqO9duYoyb+S9VQPw2NTCfyI4pYgW5FCKlKKY7x2pquITytYRH3uOvwGg0bD4i+J2mF5nehiBpKL/TTXJmoX+VxfKT6SIS9HAS9HAXOQzCiiYP5aSTwFZ5xxRlH2V+6UVEi9/fbbTJw4cd6/u2qbDj74YG6//Xb22GMPbr75Zi677DJOPPFEVlllFe6//34233zzUg1Zo9FohgVJIRY5qe+NpYTBaTGb92TIHWF20S8AxgiDQ6zOHoBbmXEeDT1eRbHhME3XGYUgjmCbTDORgu+RXOKn+ZWVYK5SbGLG5h3/mTLimchnbyvJRX4Hn8sQF8UtQYaTY1XDegJZrnTWrjTxlYxYoQwt+HtDKcWZuXPorQoWUY2uQwOCQ6zEsDL+6It3o4A3Qp+NrPh892eUYqoMeSnyeSMKaEURADOVZEXghSJ/zt+oiHYqO+01n5RUSG211VbzUh5647DDDuOwww4r0og0Go1m+COEYKtBGk00ug4TjRg7Wgn+m/UW/YKufQJL5NJWbCAmBK5Swzbisk8syUQrTqAU3yrJGV4HT0cer8oAR0mOtar4TW6CeFeY5S9hlvdlyLsyZLI9mhtch3+HWTY1Y2w8TGvIyp0ZSnFz4HJlP6IE5UBaKf4UuLwWBbxqjy71cAbN5m4TiyG4J1nP0hUkYofKTBTnBWn+bVp8KEMmhz7vyJA0Ck8pfkQxCXigxAI5lrtpOinbGimNRqPRFI5NBzk5TyHYO5fuFALjMWh0HS4C9uvm8tWdJwCjWwpfK4psbhGtrgARKaUULShmSMkMFbG2YbFkCSZkY4XBy5HPmX6auch5aVYTXIfXZMC3XgczVMS3ShIBb0YBs3IrvSfYKa53HV6JfC2kSsQ0O8XWmWbSFSD4lVLsnm0hqxTXV3C0oNF1WF4Y3J+sp3aEWWufalVxW5jhl5lWsijmoDgWCmYYMVi+lhFzKvgcyzdaSGk0Gs0IYwkE6w6iPupL1yEpDDY3O1NP/pas42MZ8t/A498y4NZMMwawoxlnNWGSRvGDkhwjQ5bvZihRk2tYK4CV8ixwXgt9zgvSSECqzsnIVmaMGxOlcXC9KnDxuoko6BSgr8oQCDGAz3uZKO0OPBH5nKBs4mU+kR+uGHQ2K62ugBRUAayFYt0ym3gPhBpgDzMx4kQUQAC8UQGf3VQZEovpxZ0utJDSaDSaEYYlxHxGE0+6DpcJA4vOQvUfUYQwX/Hyl67DoQgOs5Lz1VatYViskejcVquSVCOwFjHpX8Ow2MlMEKDYPQ/F/FmlOMFrp1UpflQSheSlbmPfegiOWEPFAuwFJuEf9XOy9H92io1ch9vCLEcPwx46lcKoChBRU6KArFIcWeqBDBELWHwEiiiAsEKiPJ/IiOkzZpR6GGWDFlIajUYzgnj66aexESS6iZ3TgA2EwZ8SdXypIj6KQl6IfLbJNM97TiAM9rcSHNrHhL6+nxOghBCcnage9HvojqsUl/hpPpYhFmo+AdXFLCR/CzKcHs/PPgfCNYlaDvLaBv36A4A7gwyNwmDrCnSQq3QSlLdtvVKKv4RZ7gwziAqPRgHUCYPtR+h5HpV6AP1gjpIEKMaNG1fqoZQNWkhpNBrNCGLSpEnsYM7vCvWhnWLnTAtJIVhTWKxpWOwbS9KhFG1KUicMqimvCWWkFH8JMtwbebhK9pkScyzwQORzmKpisQKsdt8TZPFQ1CJY14yxXC5dsT3XjHcoR+0EO8V/XIcLApfvlOQgK1lWn8Nw5j3XIV7GPc4ipTjH7+BlGXC9qnwR1eg6bGHEqBmh53dYAQGpJ0KPFt1kfD60kNJoCshzzz3HNttsU+phaDTziAOb9eDYl8kZQCS7TWJqhKCmDCaSUikEPwk5pRSn+R28FgWcj+IXi5hAHm+nuM51+FW2lQ0Ni9/Fq/MmqF4Jfa4L3HnF10uFBmsbFvtaSc7zO1CwSHfaRfGSneIG1+HWIMMrUcDNiVqMETrZLCa/ArYq0zQzTymO99r5RIa8UsEOfd1ZDMH+IzQaBRCUeWpfu5LcEWY5/qyzSj2UskILKY2mQIwSghphYCiYriohaK8ZCYzFYF1z4Ut/BHwuQ9bJOcR1Tf5LHf14M/Q5PUhjAdcnalnNsLg+cHkzCnhtABPIad0cBd/LhpwSs1nbsFhiCGYXoVJcHKRRqPnqyRpdh/ejgO8XuH8onGCnOAHY1G3ijjDLIbpmqigsXYZCql1JDvfa+UaGvFnhUaju2ELw8wWi5cOdP7oODyJYU5j8uoy/0+1KcqTXTpOSXHLJJaUeTlmhhZRGUwAWFwbrGDGuTdSwe7a11MPRaOZhClixhyhTm5J8KyPWMWOonHmDg+L2RN189VTF5rwgTaQkc4FTvHb+lKjjwcjn9kGu3k6zU6zhOpzrd1AlBH9L1NE4CAdDgLvDLC1K8doCk9l8iaee2A/F7WGWPa0EdWU4yR9OjBcGk8osQvKjlBzutTFDRUwdRiKq0XXYxYwTGyGR1lmuw87AKGFwulXFLlai5ItWXXwnI75RESHgSsnDkc+XKqJFSdqGGF0fjmghNUJoaGigpaUF6LRztQCfoaecaOanubmZ1VNj2NKM84d4NZ+pCKmPsaZM2GeffahFYC7wg93oOqwhTH6RmzReG7i8L0M8FL/2Wvlroo6GEkzaXaXwFfMMJDZ2HQ712nCUZKUhTCI/zr12FdfhsdDjt/GB/xT+ICNuC7PsX+R0nBPsFA9lmklUgJNcJfOPnNX/BoMU2YXgKxlxlNfGt0oWVKyXgiUQ7G8lSz2MotDoOiwlDPYz4xwXs+dLpy4lSinO8jt4Q4ZklCJEEQCipob29vZSD69sKZ8rhKagdImo7c0YywiTJYTBv8IsQggtpvLEc889x4Hbbs/+VoKjY1UIIfgiDHXjOk3ZcO+99/Jrc/4V9mNyP+o3JmqJC8GtQYYHQ48pubS51VyHfbKt/CNRx/giNrXNKMWpXjsd/FTY/HqeJ4/XAVdGPkcqe0ANVzuU4kCvjR+U5PgSTGirFnBd1OSfy4DDzXjZ1KJNjQJO9juYMQxF1OeuQ1wYg+ptV0mc6Tq8gmBzw+LSeE1Rr6f94eLA5eUoYKY2kxgQw/us1QCdNQ6pXAPMSUacXWOdqz6rCZOTgzTPPPMM2223XWkHOQw4aNvtOCVms3vsp1W1t2WIadslHJVG8xP1wCbm/EYTHyM4J2azlGFya+Dyr8Dj793E/6d2isZcJOi3MZsfleQrGfGdimhRChdFgzBYQhjUItjYjPFc5LONGWcLM04V/auz8pSiRSl+UBH3hx6vy4AmJXm3gJPGX9gpznQdTvLa+csADBxejXza1PxNdotFo+uwTQ9mIZr8soQw2LdMIiTPhR4X+S5zGX4iCmBn4GCjfERrIZjgOowRBufE7LK0d/9bkOHp0NMiahBoITXMEUKwjDA4K1bNCobJ8t1WQNa34hygIg7cfhKz9JdnyCghWHKBFaZPZchLL71SohFpNPNTLwwmdFv13ch1mGQm2M6Mc52f5r7Q4zbUQmlz03Ji6vd+B5ncfQ3AycB+dootXIe36bT5vi/yAHg9CrgSFwTEABOBBZi5mwTC3C1AESkwROe/v1eSJ2BI6Xv95T07xeZuE2f6HVyRqO3Xa16MAloKO6w+WbXMVrKHG2u7DisLk6XL4DjfE2S5KXRpQDF5GIoo6HTr28oanosDe7oOTUKwoxnnrHhNWVq7vxb63B5keG/mD6UeSkWihdQwpqGhgXFCcEuilpV6CZkfZSWZEvk6xS8PzELxfOSzQbcV/wyK9dZbr4Sj0mh+wgLGdZscxhFUC8HRXjufqrBHEdVFXyvhPTXB7YsvXQcojlBaFF+6DiGC8f2sAftKRrwSBTxR4HH1xfsyLOHehzfvuQ71GBxdYgc1pRTXBy73hR5HoDi4DL4rhaIKwVJl0GahEHwNnGXZ/DJWHtHNBWlXknODNOvu8AvdZHeQaMufYcLSwmB5w2SsMKgXgjohaGht4wTL7lVEQWfEahOdJpIX7rjjDt6UwXz3adNzTbkghCCVEwtfypA/+mlmofhrmOUFGfBgclTRhM1KdqosRBTA/sCuVoITY4tOwf1eRhzrtfEDQzO7GArT7BQ/KKkXvgrAe67DSQgOiyXZroTpV1Gu6P/+yOP6YS6iuujvQkalMRqDCT20mygHlFKc4nXQpCSPP/54qYdTsZTnp6sZMIYQ3JGowxKCJ0OPKgS7Wgni/Qgj/yqW5CUZEBcCX/84D5oDDjiAsw86GE+peYXgEXDOOecwa9Ys2tvbaWpqYvTo0TQ2NgLwwAMP8OmnnwJgmibxeJwoioiiiKuvvpqNNtqI++67jw8//JC11lqLvffem4022og33nhj3v1dRiIAo0aNWuh5b7zxBgAnnnjivH+/+eabzJ07l2+//ZZjjjmGE088EYDrr7+exx9/nG+//RbXdeno6CCTyRBFETU1NYwdO5b6+npmzpyJ7/v4vg/ABhtswIUXXshGG21UpKPdM13vFRj0WLqO0XfffcfMmTOZO3fuQs8ZM2YM48ePZ+mll563n67XfPjhhwDzPodPPvmEKVOm8M4775DNZhk9ejTjx49n1KhRjBkzhg033JDVV1+d1VdfnU8++YRPPvmE7777DoBJkyax+uqrA/DJJ59w++2389RTTzF9+nTa2tqQcmApue/KkB0yzWQVzECyA3C9nWJD12FK6LNHma6aFop2JQFBh1Jc6busb1ps28sE+pXQ55wgXRbF/p6Cd6OA9ayR1XOn0JyEYF8ryaEljEZ1Ndr9WIa8Okwa7S6KmGDYmqcoAcuUYbStSUnO9Tr4XIba0nyICDXMl7Xa2tqor6+ntbWVurq6Ug+nIJx99tnccullXJ+oZUNzcNGlViU52mvnMxnSMbxPiYIy3jC5Ol4zL73vKj/N+zLEoLNGxKRTXAUoBPBWLkVnUyOGBKLc/QbQniv4NxEIOmtKZDcTACNnICJyN9XtJgGFyr2yE5V7rZG7t2v9L5q3X5EbJ/MeX/B5Mrd90e0GXbUuCtntPhb4W/X0d/c7RY9/zofq9pqu92rkXvDTmMS897rQa+dDzPtv1/O79mt0O3Ld32f3/f5063rtT59H1/MknTbZSxomMXr7nH7ajsjtt2sbXY93/berziiOICYgnvvbyo25J7q290DkEQJHA79bQAhs4Drz0vyM3N5MoA6Dw0u8Ol8oAqX4VbaVj7o1y14Cg4SABAIPRTJ3bC0hmCkjlkBxTxlEB7rsk/+eqJuv7lUzeH6eaWI3M8Hv4tUlG8NXMuIUr50fVDSsGu0uit0yLfy3alSph1EQdsy08HiZvbf7giw3hRlmK4k3Qud7+dQGWkgNA5YUBrvnUlMW7A8zEOYoyS+zrfxoGgRBsOgXlJDW1laWHjWKUcJAAnOVJDAM6qSkDoNAQG3jSnz++edFHZdhGBxpJjitnz/Gu7sOLcLgz4laVhvm1q8jlR0zzTxe1VDqYQyKQ1yHLxDclKhl3UEu0pQTSimO89v5XkpcFL5STO5h1f9i12FffqrhWtN18IDFEWyB4tIymOQ2ug7LCoM7E/UsbgzPtKhisYXbxHZWgnNidkmaonpKcUPg8mjo8T2q5BHPYrKN67CEYfHPZH2ph5J3/ug6vCUs7qkqr/e2TaaZ/777DhMmTCj1UEpGPrWBvvpWOEIIljZMTo5XD0lEASwmDC6LVbNYKAv2YzJhwgQWFwZCCF5++eX5Hps+fTrrr78+lmVhCYEtBKLbzbIsWltbGTduHGuMGs2vrSSPJEdxW6KOi2PVHG8kuDxey23JOv4vXsMSX37NSobJqobFsoZJnRCMEgI75w60+OKLI4QgmUzO20dCCEYLg6QQ/Otf/1rk+2lubuacc85h4403ZuzYsZimyZOR3+/j8ZCd4nsl+U22nadCb2AHU1P2NLoOS5ZhWkd/ud1OMQfFfcPk3FTAt1LSoiTPVDX0KKIAzlmghusjO8UXVaP5fczmTWGwsdvEwTnDjFIxzU7xrZIc6rXSql1Xh0RMiJKJqDdDn92yLfwnzHLNCBNRANOB5Sv4GtkXtwCrlGHEuA7BrFmzSj2MYYOOSFU4Qgh2MeNc3U/b3v7wVhRwstfOuHXWZurUqXnbLnSaYhwdt5ktJQ9HHlkUcSUwBCQRLG8YrChMVjQs4sAPSmIBrlL8iOQDGTIGgzPj1Sw7gAtUWilO8tp5SwasIExalGJxo7NrfYeCMUIwWghGCQNbCKbLiLtDj8y8lKrOm5FLz+tKf7Ny464VghoENRgsYxgcMsAc+91dhyYMJllxTo/ZWMM0X3yksYrrcFbM5uASO4ANhTddh4uFycNllp4yGF4MPW4Os3wnI14ZZP2JrxSPhR5/DbN0KNmrGCsWa+Wsum9M1JZVg89vZcQLkc+zkU+HUrnU5U4xG+USYncxExwYSzKqxEYDW7vNPFE1qqh1Oq1Kcr6f5r0oZCaSL0aYgOqi0XU4O2YP+DezEljFdbgoVs0+g6w9vT3I8HTks45h8TMjxoqGyTLCGPL8YI9MCx+OcOfPfGoDnUs0DFghz6s5G5gxTorZ/PWDDxknDA4/60wuueSSvGzbJdfoMJ7kaFXFBzJkMWGwuDCoKuCPWLUQbGvGmSID7k3WEwB2X/sz4cBYFTK3zlDoRoEP5X5EN3abeF8G3JyoY/QwdTEaSSyBYL0KT4nb0E6RzjTTrCQNFX5O/iFwiSvJK0OYtMaFYKww8FC09VB5V2w+tFOs5Trs77UxFoNDYkm2NuP9MhrKN6FS3Bi4PBH5hMAsJfHp2Tr/Btfh1jDDg5HHuobFsTGbFUskBBXwkQyL8l1VSvFw6HFdmGGuknwwQgVUF/UIlimjBYB8srgwaBzCe7s39Bi1/s/461tvUUuWBgwQnXbxo4RgNcNiDWGykmmxnDD73aNqeOQXlA9aSFU4iwsxX9+ifPHLWJK9rAR/CTL85dLLuPTSS/Nit9tiCF6NArYw4yQKNPbeWDlnDx8Tgv7utdid1l+3R9PoOhyZbePfyfph62Q0UjCEYJVhkLbiKcWHUcAWFW46MQaDjxh8GpzM2VK/FoU0IHm2TCbBH+bG0eg6TPfT/FG4bGrEOCxWxXJFmqTOkBEneu3MVJLLUWy5iGNzgp3ihNzfja7DuzJgnDA51qpiczNW1DS7GUhO8To4LlbFrwrsXHm41840FbGskjxfJudPKalDsGSFL9D0RgyGZAYjgTfffLPHx/baay9uf+ABEsBigcDIzWtsBMsZJmsYFisbJisIk/HCmDeXeTT0SOtU4LyihVSFk0SwfoFMCgwhODpWRaNhclHgUiUEmSGKqdFSMdoszUVzBcOECshknWan2MB1+HW2lfPjNaxdpj0oNH2zgeuworCIDQMx/COKV6Kw4oXUDclabgpcNnebeHkQKXn/DLO8FAVla0vdFfmZ7DocEXlMjgIOjyU50EoWVJj8N8hyTZjh+0Faw0/rJgTPCtJUB3CkVcWeVqIogmqaneIq1+HGMMOtYYYknb0YVxAm+1sJVs3Tgl+HUnyrIqZUqPlMIRCiM0tluKCUIkunM2+kIACalSSOIE7npLu/53TYR8T7/vvv7/H+qVOnstFGG/GI75JCzItSVSGoEoIfVcTZN904sDel6RM9Q6tgbCHYwIgN2WSiL4QQbGMlWMeMcbzXzmghaBqEGDn88MN54rbbsITgYKs0vWriiIqpPXrLTtHoOpzgtbOMYXBWvFq7+lUYHrDrMOnzcyNwvSxvJ8/+MFYYHGJV8XI48PcyQ0bcFma5sgzS+RbFlnaKafyUPvdqFPDHRG2/U3/6yywZ8YcgzQdRyFgULw4xwtIlqCa5DlcHLneFWS5P1PTZVD5fnGqnOLXbv7d0Hd6ks47kD3kSUrNU1FMfhhHL6jnnydoyEFKRUnSgaMv9v0Mp0rn/typJi1I0o2hTnY6frUrhoggV81qXRED3yqMIxa+zrfM+cpXrHWLQdRPz/hYw399CMKiF6wkTJuB5PSfv7bXXXrzbiwDTDB49M6tgxgiDaxM1RdvXHYk6TvM7GCcMZg0gNLyYEGQQXB+vYSMzVpJ0NaUUv/XaK8rdqvsq7TFeGysKkzPj1UWZVGiGzmLCYPsKj+B0MclOcUWmmW9lNCCTl3LEz/U7GwhKKU71O/heSTavoHSsrvS5dV2H3bIt1CBYx7DY3IyximGx5CAL17+WEdcEaT6SET8oyWd5PiZPdbv2HeG1s70Z55SYTbKIvx2Tc4tZA/mtWxSzlJxnYDTS+dx1WEwY/N8QjLKUUngwT/C0o2hXirRSpJWkPSd4mlG0KElr7jmBUrl+jj8JoIhuPQCVIhSQVdCWe3xB1lxzTe677z5WWWWVQY9/UeTbWa+3KJZmaOgZWYUihODnRqyoKzlxIbg2XsPVgcsShkFrVRXpdLrP1ywmBIsJk9/GqtiihKvzNwUZPpEh71bQJKiL7oLqK6+dSUacMxKlaxqpWTQHug51wmRMGay05ovvleSR0OP4uF3qoQyJFYSJOcD5+J1hlu9lVLHW1O/lxn2a63BXFPFE5FE3r3Ad6oXBKsJkdcNitGFQjcCmswWFTadZTxWCL1TE1X6ar5RkxiDT+AZC1/bXdx1eiHx2MRPsZiUqVsyvYVjUCEGj61TsuZQvDkGwgxmjCsHUKKA9J4ayuYjQHCVpUopmJM25+7uawks6094CujVLV50N6wNywqqHfVZVVXHwwQfz5z//uThvcoiMGzeu1EPQ9AMtpCqUpYXBWSWY0AghODVezXqhxbmZNNXV1X2KqaQwuDdZX9SVxAV5KfS5N8zyGJX549tF1w/vz90mRgcGRw1Du9jhwtvAb83hkdbXxQHA85HP8VS2kBIMLLvqexnx1zDL6cMgkvB/dor/6+H+dXNpbEbkUUtn7a0lBKbqTDECkKrzuM2g8AJqQd62UxzqOtwUZngo8rAR7GjGOSpWVdB07SUQHJvH62yDMLglUcehXhvrus48gTvSeCjI4qKYHAVMDgNC0Wlo045iwS6MQgh+/vOf8+bkySUZq0azKLSQqlAi1RnCLhVbWQkuBi7MuNQLQWsvY5GUtuvzDBlxfpDmUEzq7fLqLj5Y/ojid0GWlYXBVsMkdWy4MV4Y7DDMPptz7RTbuM20K5mXSLhUnavHxU71PdvvwOvntVMqxUl+O98ryS7DeNJbCRP627qN8VDX4fYwy1QZclOitiCGLo2uwwRhsW6enWWXN0yujFXzO7+Ds1yHSyvg2OeTfwQZ/hZkOeg3v6mYyJBG0xfDJ+9khGEgShrlAdjSSvBAsp52YJdddlno8QkTJrC4MErSzwQ6V7iO9dqRSnLoMBFRABvZKWYhuS3Mlnoomh641XWoGqa9UdpQTIkGZzqhlOL50ONCr4O9Mi1MyrawQ7aFU712Ps9jc8isUlzkpXkm7Lng+gsZEQETXWeR27olyDBTFj8Co+mb2+wUb9qj+UAGHOW191sYD4TFERxfICv0Da04p8ZsXqUyzI/ygVKKq/w0fw0y3PPSi1pEaYYNOiJVgdQIwRLCZNUy6E8zMdPMKASvPfrYfPfXx+I0RBGXx0pXy3NV4PKDini7SJOg6TLigTDLezIkjuCqRA11BaqRmWan2DnTXJBta4bGlcCRFd6EtzdaUVwfuPw39PhBSfaxEhwQqyJUqs8UK6UUF/hpno585qL4A7Bvt9q/d6KQRsPk/Hg1Sw1RgL4SBTwYeTwnfTY2F64jfbBqFDf4LteHmT6384UMuTvMctcwSOkbrryeaxVxuNfGXxN1eV1cdCls1sdusSR/GSGLYVIpzvXTvBT5zKwgwyeNpj/oiFSF8cwzzzBGGNydrCtqw8LeqEPw50QtiwljvqhUfRTx72Q965fIYKJNSZ6N/KKJKE8pDvDauCnMsryUvCkDDsi20VLAH40Fc8k15cFSGOwyzNL6ukgh+J+SvC0DblYRtwQZJmWa2SLTzB1Bhh9lz+f7RX6a5yKf1+zRTLNT80QUdC4KvGg38KIMONBr45Qhumu+HgU5+2LJX4KexdJYYfQZC/CU4mSvg7koltHRqLLmLTvF5zLkWK8tr9ttB54usOX/MsKgsR+R0UomUoqT/Q5e1CJKM0zRQqpCccuksawlBGsaFufFbN5+7HFqYp3CyQIWK2Hawt+CDHOLeNEWgKU6J4UX2A28b6eYriIOyLbxsQxRBfi8QkVBUlo0g2eC62ALyiJanG8aXYexwuCzqtG8Y6dY0k4xxR6NoSTLorgicDnFb1/odX8LMjwb+YtsgDvNTvFCVQNPRD639iKAFoVSilekz+nAw8BDocffetjWRCvOeGGwZi+T2Cv8NLNVxMdaRFUEb9kpvlGS6bIno+rBMc1O8UUeU057YqNhGrnuIsil178VBfyoRZRmmKKFVIWx3XbbMUNJjvQWnrCUgiSdxeIbWHHuS9TTEEWMHj0aE1GyiJmjJI9EPlOKkLmaVooDsq38ItvCgm93qp1ihoo4PtvGpGwLx2bbeCz0BtVkryciFB8X+IdeMzDqEJweqy6LaHG+WVIYXJmoWagB+BN2irvsFB/bqYVMZ14Off4RZLh7AOlx/wCejQYXb30p8mkHjsgJvbtR3B5kuGUBMTVWGNyZqCPVw2LPTBnxvAx4S4uoiuIHJbk3z6lyPp3nQ6H4ZBhfv7NKcYTXxvsyYLYWUZphjBZSFcaECRMYi+CEMrS+XtwwuDBeTXNzM+fFSmOR/KOUHJBtpVXJorj0Xemn+VCGPF/VwHNVDQs9PtVO8YI9mqerGvhYBlzgp9kp28IFXgdyiILqBxQ3Bu6QtqHJH42uw1KGWdJ+aYVibddhE8NilUU0g06jmJabHCqluDJwWQzFkgMQJRvaKbIK2gcx+fpv5M+38t0lpv4dZDgy28ZMGZFViqdCj/P8Dnqaxj4V+Th64ldxHAc8E/l5jf7PVZJXB2musiiUUkyVIfcWZOulpUMpDvLa+ESGzNVZE5phjjabqDDef/99DrKSbF8mNRgLrhtvYcZ5KTmK8UVyLJspI75QEdUImpXk8sClTUneKdJq8jsy5MV+rkdM7jamTdwm1got9hqCK9Q0O8XETDM/yIglhqFDXCWxreuwlDC4Jl5b6qHknetchzHC4Iz4oo1jZijJiV4758Zr+DgKaFGSlwb4XVzNddjQsBZpsd6kJG9HAWsbFuMME6kUn8iQFxZ43pJ2isl0Ct39vTYEnZFkF8UHPYzt0dBn0wGNWFMOnGCnuN9t4gMZsk6eUuYywN/CLAadPbQEnensis5V6AQChaJLdi9lmKzZx2JDlBMVphB8qiICBesOs8hni5IcnG3jGxWR1iJKMwLQQqrCsG2bR90MZ8bsgjYi7C9Rrk6ney+YYokoL7fq1aoUSdHZMHISJufaC0eGCkG7kmRQNAxif6cjuCHMsIUVZ7EhOPvNUJKbgwwXJWoGvQ3N0PERXByrZnFj+AX570HwGytJfT/O02l2inVdhzO8dlpQgxIkY4XBsYuIaN8TZLkxyJBBUicMjrKqmCpD2lXv0a/+WJi3KEkzkvuGOLntiooMxxTPcuZ7FHeG2SEJqXYlmRIF3BVmWRKDaSri98FPTee7GjqbQFXu767kv3oEtyTrWGMBMRUqxd1hltvCLALYzIgxU0lmMLwinz9KySFep4gKtIjSjBC0kKowXNdlnDC4wE9zaKyKFUsciQhQfCpDJpSgaPbp0KNNKd5cRBF7oRhKdvvudgPnuQ4HZFu5PVE3aPE5zU6xdaaZDqWo0ZO2krCJ28SuVmJYpvSt7Do0CoP9rf5HTofa3NUCGvv4PsxRklvCDMch2ddOcY3rcG3g0oHioyHu+9nQp3mIaX2zZMRpfgeuUtxfNWpI29IMjGl2im0zzbQpOaDWE9/IiKcjn6dCjxalaEXSCgNOExRC8Duvg4eS9fMWF98Mfc4PXFqVZM+jj+Loo4/mZz/7GV2J51f6afaxkixb4VkF38iII702vlGyIOZKGk25ooVUhWFZFpkw4r7I4xsV8a9k6RrNrus6LCPMRdZNFAJfKW4Js2xeQmfABmGQHML+P7BTrO86HOS1cVuibtD9c1qV5O4wyxFlWDc33Gl0HSYYJr8vUU1gITnRdRiL4LxY9UIGE4VE0bmy3xPtSnJoto3vlJxnoX6yneLkPO37kchjsN8ipRT3hh5/DjN8ryRLIrjST/P7fqREavJHk5Lsnm1lWzPOb2JVjO5BUPlK8Y4MeST0eEcGBApmIpHAeGHQqgYuoqDzNaOE4LIgzW+sKs7z03wuQ2YZgqhba4CubV966aWcffbZPBF51GKwgxlnr1iSsQXqP1goPpMhx3jtzNAiSjMCEWqYn/VtbW3U19fT2tpKXV1dqYeTN4ToTLc5tUQ/0r9yHZqFwV3JesYU+aKvcn0pXot83ihxfvnB2VaWkJLLhpBOuKnrYAuDvybqWG4QYupE12GqEBxkVXGQlSSuI1NF4VbX4d/C4J5kfcVNfBZFo+uwBAZnxG12KHI95raZZp5JjkIIwUwZ8a2SbGhYBMBBXhufyZD3C/S93zvTwtUqGnDvqG9lxJl+B9NlxAQUN+Zev0WmmV3NOKfGbJ3mV0Qmuw7HA2OEwQrCwESQRRHQmRLeisJTih9R/BXYpGo0FwdpXgwDrKWXZPr06UPa/xLCwBCC7wcgLNZcc02++vhjxgiDxYXB4VaSrcx4ryn87TkjjBalWN+MsZww+lzwUErxiYp4KfRZWhisZcZYRhhDPi9fDX3OCtIDeq8aTanJpzbQEakKpQ5YsYS9aj4D1hIGDSWICD0Werwlg5KLKIDVhMXtZLlsCNt41U4x0XU4zGvjlkQtjQOM8F1vp7jVdbg1yHBPmKUagQXUCEG9MFhRmGxoxljTsHT6Xx65EjjCjFekiDrRdXii27+XEAamAik66zmWFQbXJWoXqvUoBmFuwjcOgyO9dpqUpFoIbAQ/qKhgIgrAFoJzVacFe3+YoyT/56d5S4bMUHKhOqyXqhr4eaaJJiW5OF6Dob9/RWFLO8WHub+7Gt4awKbAXQt8Rj9KyT7ZVmaqKG8Ocz8MIj30o48+mve3EILpfhpbuKxsmCyGgYEgQpFBMU1GtKFoz5mmLB4YCAG1CFYxLDY0LNYzY4wRBq9FPg9HHp/JzrqlGShqgYbQoEEIrojX9lkioJQiTWfmQ0tun7NkxJcq4nUZMFtKZqK0iNKMWLSQqlCqheDnJazJ+MBOsanbxLFeOz8zY1QBSQS1QrBdH6toQ0UqxZ/CDEeo8sgnX9UwsfLQZuQFO8UursORXju3DkJMHWmncP00/wqzPGOneMN1OEz95Kq4eJgFIbg0Vj0sa3lKwZIIdioT98xFsarrcAxwI7AkBhkEWxgmFoINzRjrGha1QuAqRRZYyTBJlUgg/oDiBK8dQeeE9FM7xQuuw1H0zzBiKNQieKbbv7+XEW9FATtbifmuae1KclOQ4anIZ6aSfNbHuKZUjWZTt4mdsy1sZ8bZyUrQKEwdoSoSfZ0zb4U+pwdpviuzaEr3sfR0nqyxxhp82014ddGVKvh45LFYYKAAF4XTi9ARQnCE14qNwRZmjD2sBGmluCHIMFNFSOavBZaqM6rXlIvumaZJqFsFaEY4OrWvAhFCsIFh8e8S1kd1sYbrEMC8dpvVwOFWFSfEC1Mz8mzocYGf5uUSGUwsyHcy4mCvjed76CE1GH7mOmxhxrk2MTAb7VkyYj+vjQcUvboIru86jBcmj+gC+LywldvMjcnaPu2Oy4FDXIdXgJWEQatS3JCoZYwwKqq4/ZXI5zSvg1cL/L2fGgWc6nfwg5JsYlh8oyRtSrGkMLgmUcuSwuAfYZa7wyyOktwCbNxPcXe86/AUsDQGNUJwfaJ2UKm8mqGjlOIvYZY7wyxzLRPfH1wD6OHCMcccw80338xSGCgU3+sIk2aYk09tUHk5KRr23Xdf/icjvilgx/X+8rGd4gs7xbTcbTIWD0Ue2QJchJVS3Bhk+HkZnbZLGyY2glfd5rxs7107xeeD6Hb/hyDNLCX7tGJ/207homjVK4h54Xsk53kdZT/heAU40kryRFUDU6oaWM+MVZSIAnglCphD4Y/zBDPGAVaS0Qim5Bptv22P5hMVcWi2jR2zLfwtcNlXSd63U/0WUQA35q6Rz9sNfKoiTvLay/7cGY50KMVRXjv/CjI88OorI15EAfz5z39GKcV3KtKGERrNACmfGamm3zx89900oWgpwwlxvV1Pm5LcG2bzvu3XooBmJbnMHpX3bQ+FX5hxfpPHfiAenXn7/WWaDPlYRnzaj0ldOudWpRk60+wUs5Xk4dAr9VD6ZKluKYjFdN/LJ29FIWsXYT8zZcRtQZYzUPOlhE2zU1yB5BIlecNOcdQQUwyn2SnaUXQUQRxqfuJLGbJ3toV3ZMBMJdl4441LPSSNRlPhaCFVYYicgcCrVQ0l6d3UH07B4o5c6ku+iJTi0iDN+iW0O++N/WLJvDoXhiimq/5HGy/z03T081g7KD6NtJDKF2ujuD7M4JbxCm5MCFYroTHNUFFKMVNJtijwfr6VEfeGHgrFLj0IpY0HGIFaJIr52ifoBqaF5cEgy+FeO//LpWtqNBpNPtBCqoJYQhgshuD6eA2LlbFT2H52Pc1K8utsKzOGmH6olOJSL80vsi20KbhqCDbjhSIlDJYXJlvm3KGGSqjA7+dK9Zuhz1dS8vYAJnh1FRqVKEf+ZKdoUZIr/XSph9Ijja7DCsKsaLc4IQTHxqr4rzBYx3V4P0/fs+68FQVsm23h7jDLnUWKEgkB7Sh8pbjQ62CbTDP7ZFr5daaV/bOtPF3mkc5K4iyvg2sCly333UenrWk0mrxS3lXSGlZccUX8r78mhmATM8bl8ZqKcHt6x06xpetwlNfGY7meMIPhIj/NM5FfEHOJrFLcFLi8GgV4wO5WgoOtJLFBjHVXM87pMsjLuAJ+ctvri69kxO+DNJsMYNuC3pudagZH57nexPahz6Zl5og4XhgcbCVLPYwh8+tYkl2sODcFGU6OfNpdh03otP7PB2sbFuMxeKmICzVpJfmd18FiQvBc5PO2naLRdUgBjoKv/TSX+WkiOqOKCuiKKwY52+s3y6AFRLnzQujxcuQPypJco9FoFoUWUmXOV199xR5mnCsH6OJWDky2U2yTaWYOirGDmLwrpXhZBgURUS+HPhcFaZqU5BkMmoG9A5cIODpWNeDt1RoG+fqEvNwqdV/MlBFHe23ElOSygUSjgBqjfKOZlYqH4rwgzX9Mi4YyiRafmGv0vHGZpgAPlFphcEa8mpOUzb05x7Ut3CZeysP14SsVYRS5Xun1nHAC+CfwousQA2xhMBo4wqpiFdPCU4p1DQsFGEKglOIDGXKWn2Zd1+E9LaZ65b0o4IIgjVx8bKmHotFohinl8Ys/gnjmmZ+6lFQJwdLCZEy3CIgQYr5bCsH4MpmYDYaATovwwTAlChYpKAaKoyTHZNs4y+9gU9XpZNdgN7CC3cB5GDw2yHSaQCnyVXmUhT5rbqaEPr/22mhWkmcGOImyhaBOR6Tyzut2ih+V5KIySvGbAuxlJSsigj0QqoTg4FgVTyRHsYkZY5M8pPp9GoV8XwLjhy63043tFBdgcJSV5LZEHY9XNbBnLMkahsXPzBhCiHnpmUII1jFj/CdZz/pGjM3dJpwCpDtWKjNkxF+CDIdn2zjZa2eOZTFr1qxSD0uj0QxTdESqiEyYMIH333+fFYVBHMHPzRgnxmxO9joQuZXGOgRLC4MssJZhsreZYMMKXlH2lSI9iAnKVzLivCDNIeSvSP6DKOC3fgezleSjHgTI7nYD12eamS4jlhmAPfQMGfGvMEu+KhpqgJdlwB7Mn5LlKcW1gctjocfuCE4ZxEp0TImSNVod7nxop9g+04xSqizES4Mw2NEsr1TDfGIKwSXxGiZlW4a8raYSu+f93G0iJgQnxex+nzu2EPwlUcsNQYZ9Io8w08z3SvIvYKNhHKWSSvE/FfFJFDIbRZhbxPpORXwkI7J0mpOEoOuhNBpNwdFCqohMnTqV8cJgTyvJUd3Sx25O1HKm38E4YVAtBA8No4apLorMAH/MWpTkGK+NGiU5NE81Cy+EHhf4Lqsjeb6PScZMJbklyHBJoqbX52SU4nMZ8rYMeST0aEfxg5J8lqfJy7u5CXmzkjQIA08ppkQ+VwQuTUryLEaf/aL6REBtGUzyhyuhgi9VRKMo/aVVKUULiiVLPZACYglBLA8R1pkDaDeQb+52HRqEyb3J+gELcCEEJ8ZtjlVVfCBDngx9LpYBbqaZJiUZCzw1TERVu5L8O/S4P8wSKpiNXGjx6rXXXtOW5hqNpqiU/td+hHHYWWdyx2WXzyekljVM7kzU8UoUEAyzviIZGFBz3s9lyEleO3OU5N08TQDuCbLcGLociuCwRWzzUzvFxEwzX8iQZYVJCHwiQ96JAt6QAbOVJKsgFDBLSS7AYL8CFKg3Kcne2VZi/GQ+sYOCs4Z4TLI5EThmGEcqSsn3SF6IAhqN0l9aW1B8HYWsUQZjKST5iNfPReYx9j0wzgWOMWMkh7DAYQnBz8wYP8tlL8xVksmhz2ORx7aZZkKl+B7FhsCdFSasZsqIW8IML+X6CO6y3378+9//LvWwNBqNBtBCquhccskl3HHZ5WyVaWZdw+LqnAufEILNy8zxKx/UQr8mCEop7giz/D3IsgSSJ/PwY6+U4rrA5f7Q4x8IVuin4GlXkmO89nmSNkAxSym2BB4r0iRkIHbmA2E2iqdCn820kCoIY4HnQ3++hZJS0QG8IUN2LvVACkw+ahNnyIi/5mE7g2FJBFvn+fs4RhjsFUuyVyxJpBSfyIg3ZcCUyGdSppmAzsi/D0wGUmUormbKiP8LXN6TYWeqnk7T02g0ZYgWUiXgOxlRLQTPRj5ZoPRTrsLRIAzWXsSKeKuSnOx1ME2G3InJMnmI8CiluDRweTLyeRgxoFS4QomYcuAA4LnIZ79sK+fEq4d9tKLYTMk5VXpKkShxCuWSwuCXVqKkYyg0Sql+91zrCwlsXuTv/bquQwewrDBYp4DfQ1MI1jIt1jItDs8J/Jky4p0oYIoMOERGuLlz9kcUvwFOLeE10FOKqwKXZ0KfGUhd56TRaMoaPYsqES5gA2f4HVxXgdbm/aHVbcUQME4YTJMhywlzoR5Nb4c+ZwRp5irJ1EX8eP9PRlwfpPmflCToXHVdzTD5dayKsd0MFJRSnOeneTHymVIA6/RK5nw7xfl0Nmo9LtvOSobJOfFqlhuAuYambzJK8Urks3UJRcz7rsNoYbJ2BRvV9IdSm0QMlp+5DssIk52sBNua8aKbk4w3THY2THbOGdq4SvGhDHkt8nk9Ctku00ykYA6SOuCVIgmr10KfiwKXuSqiWQsojUZTAWghVSJWWGEF5n71NaOGceH/RELSCn6RbcFTYAkYKzq7tUQKQhRzlSSO4ncxm+cjnzhgITDo9OZvVYofVcTjkc/3KmKOUnxkp/jabeYMFfAXGfBw5LOyMDk8VsX/ZMR9UZZZUhak/9RwYVpuYtToOnzptbGNEefMuI01jM/HYjEHxd2hV1IhtTcwcQS4M34qwwGb2fREMc96x3VoEAb/TtZTXSbfN1sINjJjbJQT3lIpvlaSt6OAlyKfHTPNeEBaKZpQvEZ+0wFdpTjf7+D1KGAWSkehNBpNxaCFVIn46quv2M2Mc2asutRDKRjv2immu60sU1XPpzLkwGwr56rOyd3ywDL2KC5wm/kPigsDl1EIYnROakw6/+hQinZgOeCFbj/cy9sN3NNtXxNch0+8gDZgE+C+YZyel0+6BNXGrsP72YAbE7WM09GpITHNTrFtprnUw2DpESCk7g095lRYVOpaOk1fngw9JlkJaspETHXHEIIVhcmKhsk+sc6oVYuSvCdDHgs9dosCXs7DftqV5P7Q459hllYladECSqPRVBhaSJWIxRHsZMaH5NRUCSxj1wMwGoNRwmDLqvr5Hr/AbuCCPOxnqp3iLNfhFQyO6cO6XNMzr9spGl2H/bw2/pyoZVVdO1WxNLoOy4yA+qg3Q5/3o3DeYsBgeSTIMpfi2Z//wU4x2XU4L0jThOLIMjAm6Q+jhMFEM85WRoydsy3c5jocOshjP02G3BBk+EiGtCjJztqJT6PRVCh6tlRkttpqK7546SUsIZg4zCc63bEEBV83vtROsaHrcLLfwePJUSUv9q80puXE1DFeO39J1JaFhXelUqpY0D9dh6WFwT3JesYM84jU9WGGH4YogB4MslwTuhxW5EjIS3aK1VyH+qImFeYHIQSTzASXhhkO7cfzlVLMUJJXo4DnIp/vVERWoY0kNBrNsEDPlIrM5MmT2dqIcdMwNZjojTalCq+kgDftFFu5TUxTEWuWQVPUSqNLTB2lxdSgOdZ1kCUSMRcBKwLDfYnGV4pZSg4pGnVfkOX6wOU0FLuUIBV4MWGwUoWm0W5rxXkgzPb4WLuS/E9GfCYjXoh8vlERIfCj6mygq8WTRqMZTuhZUgkYI4wRV9TfoiRhkd7yTBTvRQFrahEwKLrE1JFeOzawimGxmxlnqxEUQR0KHyI4M2YXfb9KKVYQBj8qye7ZVs6I2WxXQZ9ZpBSPhR7/DD0iFCfHbH7eS2+992SIN8iVmVAprglcHgn9komoP7kOooKF1GrCnO837EsZ8vcgy1QZkkUh6RROIVo4aTSa4c3wzv0oU+YqSZsqXk5+OfCjkrhFes8SeD0KirKv4co0O8WLVQ2crySPRj5n+Wne1seU912Hxtztn66z0OONrsPKhsWOJRAw01REoOA9O4VUkj/4aY7MtjG3jK8138qIK/00u2RamJRt4crAJa1Csiri/CCN7GUS/mToMWsQE/RvZMTe2VbuDz3+hSyJiHrRdbhbGFwUs6mr0PRLIQSJbmmJNwQZ/hN53PHqy0yXETNkRKC0+55Goxn+6CX7IvP000+z7/aT+E5J1qjQH9GB0qIkVwUuLUXa3zQ7xY6ZYu1teLORnWIasKnbRLbC3NHyzT9dh1sR/NKMk0Rwtwy4LdPMHCUJgAgYJwQXxkvjxNmu1Lyob5fD5Wquwy+zrRxnVbGXlSh6v6Le+FKGnOx1kEbxvZLcC6yzgKiZmGlm12wrVQgWEwJbCJK5yfvkyOe8Ae7zRyk5KNvKLBRflMjV03EdzkVwmlXFlhUULeyJOPCF67CynSKdE0wbb7xxaQel0Wg0RUYLqSKz3XbbkQCeD33WiA//w6+U4nivnRlDrGcYKBmlmCZDXeOTJ5JC0DjCa86uAA63EpzcTSjNzNWBPBb5zJQRPyjFUiVK13o9CmhZIPr0qZ3iPNfhusDlvsjjrFg1a5ul/xxfigI+U1Gf14QXqhoAuM51uHEBDX88cOAAryefqxAfSiaiAPZAcGSsil1zluKVzOZmjF3CiM+BVhSnnHJKqYek0Wg0Raf0v6gjkDSqAr2aBsdjocfXMuLTIk9eZiD5Z5DlohFuhd6YSz8bqogVCurKJJpRTKRSfKoirsu2khIGBy1gVT3eMPm1UcWvY1XMUZJrfZeJbjMzkWwM3F7E8/7xyOOEHu6/qFvz5RO9NmqFwcFWkl2sRMmcLVc3LBZHsEemBUFn77iNzRin9RDNO8lOcVIe9jldRjhlEFXdzuy57qvS2MdK8ljkA511Z1dddVWJR6TRaDTFRwupEmAA90ceka/YKZfesdIwjJz4SnF9mMEtweTlKeAwGfBu6POzXgrWK4VG1xmUEFrNdVhFmNQJwaZuE6/aowc9hkjAZzJkXTM26G1UCrNkxJQo4MmcVXOgFAGCY6wkqT7ScRcTBpckapglo3mF97/INBMAnlL8mPseFCoyu5QwuVJJjuzl8a79bu46XBm4/CnMsIUR4/BYFUsXMYo2R0nO9zv4EcXLVaPm3b9LpoXTCrjfWkTJF7DaUBzltXNPsh67whcmljJMGhD83nUIRWWaZmg0Gs1QGX6z9wqgWSmEEDwY+dwaZqnNuXwNh3SP7twXZmlRkvdKkEqzgp2i1XU42U+zfuRxRryaxSqsJq3RdRifm/oNVEzd4TqMEwa3JetIITjSa2dV1+GzQX4WM5XknWEspNpUZwTzscjHQ+EoSZpO8bGO67ChEePXVv++n+MMk7MSP0VWmpTkcxnxoQx5NwrYOdNCBkUAHKnkgFPUemNXK8F7/qINQV7O7e9912HvyOMlGTBOGBxtJdnCjBe0jqpVSQ7OtvJVD6m+PopIKcwC7b/eMBhVYinlAx0o5ijJssNAfOxnJbk8SDO6DCJ9Go1GUwoqa2Y5jFBKMUNGNIwbRxuKiwO31EPKOw+FPukS7v89O8Vku4EnI599sq2c4bUzU0YlHNHAaEDwm1gV+5gJ6oA1enCJ642bERxqJVlMGBhCcFmihvFDEJKrAXeGWcJh6sJ1cLaNW8MMe6iI56oamGqnmGanWNV1GCsMrkrUDFpgjBYGm5gxjopVcXOyjkerRvF4chRjEFyUx/ewhRmjdgCX9HVy7/H5qgbekiFn+2kO99oXqrPKJy+Gfo8iCsBRiqdyqWKFwKK0K4ebuE2sbpjck6xn2Qq1PV+QHawEdRh0DNPrgkaj0SwKHZEqMTNnzkQIgU+nVWy5uGrlg1YkH5ewsLuLrjGs6jq8EYX80kpwbLx/fX4aXYdxObcwSeeK+tuLeE87uw6fA+MRJISgBkEAdCB5sar/6XXNKFqV4sJ4NbvIBFf46X7VPDW6DusZFgd0i6CMFQbbmHHWdh0+GOBnsofrMA0YD3gM7KKhcpPj6Uqyh5Uoy6jgtzKiFcXUBY7L+zkRdUWsOq821UopLvHTzM6zAcv7UUg4yMhA1zjWdB32yrZyZaya9QqQEtuMoqeljM1chziCxgIKjH8EWeaUIHJym+twGwY7mHHOilcPqx6C1UKwpmnyhG6NoNFoRihaSJUR78mQNQ2L+DD5oV1cGIOu7ykEn9kpvnIdDgmzvCIDdjbjbGXGGd/D5K3RdRiDYAVhcGrMZjszTho42GtlTdfhoz7ek4PgF2aMQ6wkEwwLUwiUUuyabR3Q8VgSg83MOKYQbGTGWNeI8XUkiQHruA4u8wuqVV2H8RisIAyuiddgLHAenRyzeU8GrOE6+EAt0JATCAkghiCNQioQotMAoApBrWHRICMUsFe2hSoEiwuDlQ2TccKgCkFSCOIIEgISCCwgJgTtSnGBn8ZBcW+Y5f5kPfVlJqb+G3p830MU5nBgLzOe1xo7pRTn+2mej3xeHkLN2oKESnFJkKZ9iELhIzvFWq7DyX4HZ1Cd935YTi/RrjgGV8SrC+qy+dUiXAILwbquQ70wOC9ms22Z2J23K0k1YqHrw2BZXpiAFlIajWZkooVUGdAVifqt14ElYJIZ5/QS9aLJJ780E3wmw1IPYz5WsFO8BKznOnwgQ/4aZkkgOMJKsmcsSaPrsDiCVYTJb6wkk6wEsdyEowa4LVHHr7NtfQqiaiH4Y7xmPkc0IQTLGyafRf1PLZyF5EsZzrOrPjdRzTnK5nw/zbORT0oIds60EOTqbXY34xweq2IlYfYY2awWgjsS9fw39JguI9YyLdY0LJYUxrxVcqkUXyuJDYwTRo/becN1OEBFPCd/mjzFgCSdIiomQCAwlMo5sika6JxEPxH67FtmtYBPRT6TFrhvouswShj8Nta/yGV/KJSIArg1yNCiFO/mQSh8aKc40XW43E8zV8mFnAqHQnMvKWBKwJoFrL/7NrcQUEw2ch2WESY3JWpLZom/IPcGWW4MMySAFYTJzmacn1txRg1hcSNZcgsPjUajKR1aSJUJ3TvAL2OYnKDsind1mmgluDbMlHoYPfJOtwnnf1yHawKX/wvSLCsMTrCq2MVK9LhiWycM/pGsY78+oktWLqVvQZYewGSl0XUYh1io548QgosSNTzmNrGKMLktWdfvbUKnmPp1H0LGEIIVF1EE39Wkt7+8GgX8zmsnjeL+0CsbISWV4onIJ60k1y/wOYbC4Pcxm6o8fgdbUEwugIh6LfS5K8rytzxKhevtFO+7DscHGQRwYJ7EVFMvEakWJdkp08LyhsGRVhWb5Dmt8O4wyw8FrP3qzou5prtbmXEuWmBBpVRkleI8v4PXo4D7X32FTTbZhGWWWYaLvvuOujBDHYKdrAQ79RKh74vKqTrVaDSa/FNeOTYaAFyleLmARdfFokYI7DJerWx0HSa6zdwgDGahWN2I8VhyFLvFkn2mvaSEwa2JOpbKpS4uiI/ihx5MLX5pJVmqn5OqJYXg8nhNr7b479ijmSZD2os0ORwK3+X693xsp3CQzCnhmH+Ukn8FGQ7OtjIp28KVfhq1gADpSuv8RZ77/cRydXY7DsA0ZFFklOK8II1SitXznLa2jp3CRfFsHq9FDooderh/qp3iBbvT9OIUv4Mpkc83eTKGkarzPTydl631zRauw/nC4HcxmysStWUhor6VEXtlW3kx8vlBSTbZZBMApk+fTrNSfCsj9rv4Iq4JXA7w2tgz28LLoT/f4l5fTFMRY8aMKeRb0Gg0mrJFC6kyxEHxrzDb7x+yciVSikwZ2+KmEBwXr+KcmM1mhsUf4tX9nvgsa5hcH69hCRYWUzOV5NEeJp/LGSYrCatH8dWdnV2HGILNFrEq34ziziDbr/GWko9kSJd0mqMkf/JdJkc+kyOfj2SIt8B57inFK5HPXUGGb2Q05O+BUoo3ooBDsq3s57VyReDyqgx5pqqByfZoJi8gQJZAcFbMzrvxS40QXByvJp3H7V4duDQpyZQC1f68Y6doG+LxD5Xi4SDLb712PpPhQtG/7nxop/BQnOel2T/bygle+5Ad4d6SIVlgmQIco4muw9ZuM9u4TUxwHaqFwd8StexWJlHXZ0KPg702WhZL0dTHcTzrrLPwcqJqzJZbcLbfwR7ZVqYsQlClleJDGfLZZ58VYvgajUZT9ujUvjJEKcVoYfBg5LFnP3vXlCOvRgHlGldrdB1WEya7mgniQrD9IArB1zJjXJeo4Vw/zSZuE6/lUrYsek9h+kO8mn29NnZ2HR7tZWL3ObB3P4ruRwG3h1mqhODgPNax5JuITtEKsCLwSOTxWOSjgGrAzLkiJgAPhUdnpKUFxeJBlpjorOfYzIyxgmGxnDBYoh/pRx1KcX+Y5e4wi6sUP6AWaTbQ6DpsaFhsUKAmzltaCTaKfNZwnSE7Wn4hQ56J/PnSVAtBMMjFkA+jgEt8FwdJu1I4/dxO9zqvdV2HPbItXBGrHpDpR6gU78iQ/4Yer0UBs8hvFPQuN83NeDQaMS6MV7N/tpXNzDhXxmuoLoMoFHTWQ90QuPzh1r9wxBFH9Pt1zz//PABbb701Z7/wIqOFwRkxm417OP73hVlalSSVKg9DIY1Goyk2WkiVKc0org0yFSuklFJcF7jMLLPUs0bXoQFYWZjcmKgdskPiBDPGg8l6rgpcds204KKYaMY5rhdhM84w2ddM8Pcw26dhxTsypFXJPh3uXrFTNLoOP5bZMV6Qi+LVTMn4THUdHupj0n+r63BkL483ug7PyoCxCOJCsJQwuCRewzI9CCqlOiO6fw+ztCnJ0sAT/RQbSwnBuQU2ejkzXs3b2aGZsGSV4mSvo0e3wXzjw4BaM3wnI64OXN6VITOV5IshCL337BRbuA4nB2l2kgGnxOw+7cOnRgE3BRm+VhE+ndFhQd/tAgZC2k2zJVlGCYM/xGrYIicussAuZrxsRNSdQYZbggwP5OqhBkOXoNpss834/auvsXYU46J4NaOFgVKK5yKfv4dZ/nL33fkcukaj0VQUWkiVKU8//TTHT+qpmqD8cZXi+sBlTp775OSDsQj2sZIcEavKm5mHJcSAXBaPjFURE4J/hllWcx1COid6Xf2nAL5XkuO8dv6VrO9zW1V0RmvKmc9UhAlMWMS50JuIgoUnwo2uw0HZNg6IJTnM+qmmbaaMOMXv4DsZsR2K8wdw/jW6DtsaMVYtoAU3dFrOjx5C7aBSit/5HfxYJDtvXykO8tq4NlFLqh+GKc9GPo9GPvfRWWc1VF7KbWMTt4kPZNjrd+LZ0OPCIM1cpfjUTuEpxSFeG9OG6By6qeuwEgb/QzFKGOxoJDgtblPb7VjUo7g7zPKLMrA4/0eQ4W9Blhc//4yVV155yNt75ZVXAEgKwd7ZkF3MBM9GPu0odv/N0eyzzz5D3odGo9FUKlpIlSnbb789B5bBj/JAeTL0+L/ApVlJrij1YLqxs+swC1jDsDghVlXSxsemEBweq2JnM8Gjkcdzkc+emRaqhMkGXTbkwFL9EEg+8FmeivILxZLCyFvPmi6m2SnecB1OCTI8FnqcHrP5Vkn+HGb4fpACfilhcGaR2g4M5RN7PvJ5NwoW2Rg6X7xoj2Y11+FX2Vb+EKtm00Wk2P0gO6Nk+RBR3XnNHs0umZZeH38hCpitFJ/n9vueDJkuoyEdp81dh1HCpBUwlOKuZF2PzZmfslNslWnmYxmyRoGFeG98KyOuCVzeiwI+nDsn7+l2WaW45557+PW++3LQIYdw22235XX7Go1GU4loIVWmmEBrhZlNvBcFXOynaUDxXBlFotZwHcYKgz3MOL8rgInAYFncMDjcqOLwAdY3NboOiyGwhcAAXpA+51C+fccahEEhYmYb2SleofN4nO53IIF1Ubw4iHNvVddhNzPeY6pgIRjKN3sZwyRRZDfMT+0U67kO5wZpnutFSEmlON3v4KECOY5u5zqM60WkPBN6vBwF851nywuTOIIfXIclBnk9ygDbGhbnxquRMK+nXE8klOT3XgcPJev7fF6++ViGXO27fKUiZgJhAdM999lnHx2B0mg0mm6U1LXvpZdeYpdddmGJJZZACMFDDz3U63N/85vfIITg2muvLdr4SskSwsCtMCH1RhTwI4pHykBENboOa7sOEzPN/MpMcF+ynrMH4MpXziTodAB8IFnPPlaCvycG1kuq2ERKFbTXzDQ7xWR7NFPs0X06wvXG+67DeGFwWhGbYA/leKwkTBICNsijjXp/aAM2NXpvmntrmOXlqLNJ8wFm/qPpWQQH9FAz+pWMuDRwmYTkk26f/+KGwY5WnF0Hub+0m6ZOGBwTszGFWKQ4espOMVdF3B4Wx0nzrdBn/2wrx2Xbeb/W5jsZEZZ5dFqj0WiGGyUVUul0mnXWWYebbrqpz+c9+OCDvP766yyxxBJFGllpeeaZZ8gqxQ2J2lIPZUCMEwalTkZsdB22yDSzgjA42qrivmQ95ydq+lXbUSl8ZKdoV4o6YXB+vIZlixRFGSztqDLuJgYHAZPMOGOKeI4MZYlECMElsWpsDHYqopgaLwx26yXduFlJ7gmzHJtzRnwxCpiZx0n92q7DOqbFpB72/1uvnZlKclYPIvqIWFWPqXj9YSuy7GzGWdzo3+sbXYc2YEKBaxY9pTjda+dUP83MJcczQ0W0tLQUdJ8ajUaj6ZmSpvbtsMMO7LBD34YK33//PSeccAJPPfUUO+20U5FGVlq23357tjNifbpTlSONpsWYoLRjXkoYXB6vYUPDKpsUvnzT6DrUIAbkpFZK0qp8hdQ/XYeUMHp1WSwEjpJD7q+2nhXnFCW5LHDzNKpFYwA9xaNCpTjRa2e2khyYEzMzkPw1yHJuIj9RvjohWFqYXO6lGSUER8Wq5tXdRSi27OV1T4Y+bYNMdeuKRvWXPYBXELwqAzagMPb5AHeEWZ6OfNorLGNBo9FohiNlXSMlpeTAAw/ktNNOY4011ujXazzPw/O8ef9ua2sr1PAKRh2C9c3eU2jKleWEmXdTgYHQ6DqsKyw2qsBj11+mug4W8GCyviJEFEAAQwvBFJAbgMPMxHwObIXmzShgdh7qWFY1LaqKuHDRqiSze5i8f6EivpMRH3WLCBlAWx57N/2oFH/NpcyNQfCxivhtzObJ0MNRimk9vKbTBj/DLwaxv63cZr5HMpDmE1faKRzXYffQY5ww2adATXkfDz0uuvrqgmxbo9FoNAOjrPOdrrjiCizL4sQTT+z3ay677DLq6+vn3ZZeeukCjrAwtKH4dIiWvaXgvSjonDSXiGl2asgr/eXO0Qh2M+MsW0GpigGqbD+VOmFwaJGbGa9kmNQgaHQdGgeZmucpxaOhR3OeG832RQfwg1o4Xc8CjAVijo1AUx4jJtPs1Lzba/Zo3osCjvLauD7MsCuqx15Vb0YB7UpxcT/r5u5y06zuOmyVaSYh4C/xmgFHUlN2ih9RfFnAWiUP+MMppxRs+xqNRqPpP2UbkXrnnXe47rrrePfddwe08n7mmWdySrcfmba2tooUU2/JkFkyYlyZ1790529hhlklbg7rosgoRVWFRGsGSgyII/hayQH1j/KUKpnRRgDIMpRSja7DRCNW9OPSaFhclajFUZL/hFk2c5v4E6rfduGRUuzvtfK9lJxT4LEuyHc9CIRxwmDBQ/gXYH8V4ShZkPrEl+3Ri3zOj0rS1M/zbrab5mZ8To7ZbGBYrGZYgz4vRiHY1CpcVHwvK8H1RUzp1Gg0Gk3vlK2QmjJlCrNnz2aZZZaZd18URZx66qlce+21fPPNNz2+LpFIkEiU2vJgaKjcpPcor52bE7UsUQFiqklJvpWlb8DrKcUHMhy26X1zUNwTeUyVIf/qpadNd5RSHOy18Y2SrCgMHKU4J2az4SJ6AeWTlYRJleiMwJT6/FiQDUt0nmya2+9OZpybggwnhR4v9vO1H8iQOVLyWj/ERD6JA09FPh9nW1lFmCxrmHwuI6bJkHABvbKEnWK26/Bo6HFwkSN+XSxtmIztp4jbS3j8xqpi/yGO9eduE6sYJpv04W44VB4JPS7WqX0ajUZTFpStkDrwwAPZdttt57tv0qRJHHjggRx66KElGlXx8HJGAvt7bVzSjyaYpebp0KepiGlGvfEjilcjf9gKqa5mo5u6TWycaebuRD01QrBcD01vPaWYmGnGAl6yR89LI7sqzHC3GStajVVcCC6N13CS316U/fWX8cJgnRI1T+3CEIIT4jaPRd6in5zj6cjnhxJE+D7OnXsTXYe3Ced5uB8PnNSDQBbAs5FfVCH1g4x4KPR4NvJpQfHdIiLkaTfNlmT5mRHj1z1Yqw+EDV2HZQ2T2xN1mAX6bs2UEW0oTj755IJsX6PRaDQDo6SziI6ODr788st5//7666+ZOnUqo0ePZpllllmoM3ssFmPcuHGsssoqxR5qSehyZbs/8speSP039EiXehA5XotChvs049WcMDrIayUNvFbVwJgFKjriwEQzzn25SXpXNGhDt4lnIp/te7GyLgQTzBhbGHHWdR3eK5OoVAxYrcRCCjq/5/XCYKtMMy9WNQCdk/I4ghiKFxY4XtNL3CtowfH0xK9chzHC4HcDcL0bLKFSPB/53BZmmaUkPyjJLwGfGMv3YV2+hetgCIP9zSTH5qFRty0Mfh+rLpiIAngi8plZ4vRpjUaj0fxESWcRb7/9NhMnTpz3767apoMPPpjbb7+9RKMqPyaUwWSvL+YqyWxKn9YHnWJh20wzUqmSOggWg/8AvwTqEbwRBey0gDB6OQp4VQYLxQljwPNRwHZmvKjOf2fGq3ktG3CQ63BHGZwrCaCmDM4RIQT3JOu5wOtgo1wvog0Miy2MGLf00Ny1BcU6xR9mvznOdfgRg6tj1axTwMjw1Cjg2cjnycjHVQoDxcsLnFdbuk28GHps1e27sYvbRLsQrGHEODdenbfU6YjOa2EheTry2WWPPQq6D41Go9H0n5LO0LfaaivUAJydequLGs4shqCxTIWUUoqHQ4/rwkxZrZJKBdNUxCqiPI9bvphgp5gGrOU6XOCnMekU3W9FAbvEkjwUeczo4XMxgPsjj1OwGVvEDk+2EBxmJbk2yBRtn72xsuuweZl9r86OV/NyNiCtJFuacTY2Y/wrzLKW67AHcFFOJCwpDB4s7VD7ZDKwumGwXgGj6J5SHOG104piMp01WT1xIUkuCFz+YVicm21jOrCcYXJ1vDrv19WfKcklfpqvZcSx8fxH4qbLiBky4u0HHsj7tjUajUYzOMprJqFZiKQQrFwgs4n/yYjfee3UCsFl8RqWHMB+5ijJ0dk25iCxlOLTMogwdDETyUtRwCplNlEuFB/aKRpdhxP8DpYSBq1K8bIMMICxCG5aoJ6mDcUFMbvfhfj5wleKWkRZNOdVwAYFNAQYDDEh2MyM0aIUSwmD5YWJEgJTKV4UBqvmeohVAWOBQ1yH23Pfu8bcY+MQdNAZtSpVhPgjO8VEt7mgTpFX+C4KFvket7JtVnR9DvFaGWeY3BivZs0CXReuy/WR2iv0eFUGXByvYbk8Xrsv89PMydvWNBqNRpMPRsZMs0J55plnUMDoAkx4P5chR3ptzFQKFOyfbWNvK8HRsSpi/Zj8/J+f5hMV8VkZCaguQuBfQZbNzBirjxAxteCEcjXXIaQz/W9Ct8eucR0E0JLHHj/95WCvjW9lRBOKzVyHV0p47lRRmO/VULkwXjPfvy+PVfOtkowXBo9EHmOFwerC5NYwy1coGl2HcQi2NmJMNOOsaVrMkBGPRR4T3WZmlCjlVgjIokgUQDa/HwU8G3m800/Xwr/Zo9jGbeLSRA3LF9gBNWWneBFY13U4JNvGBqZFk1JMVxH3J+sX6bLZG9NlxKcqIiqjyL9Go9FotJAqaw7efhIbm/lPjwmV4mSvnZnqp1XrZ1yHc8IMj0UeF8Wq2aCPtJw5SvJWFJaliIJOUdHoOpzotXN/sp76MpwwF5qeIoRTXYd/AOOFybElsKT+n4yoFYKVEWSAVV2nZOdQDPhXmOVXVqKodWIDZRMrzia5v7fs9p3cOZbkzdDnxjDDGfHq+RYM1jQsfmElmCkjrgpcts40M0dJ/gX97lU1VNqV4tUoYIc8G5o8GXpcGrgD7ks2G8V7UVBwIdXFe7no1GaRz1qAEgZtSlE3yFOtHYUoweKHRqPRaPpm5M0wK4QaIVjXjHFlombRTx4gH8qQtJo/9Wc7O8UbdoovleR3fpp9M63cEWSYkXMIi5Rilox4Kwo4yWtnbhlYnffFNDvFHCU51y8XL8HS80tgaWHyn2R9ScTDf5L1PJwcxWNVDfwnWc94YTA1Z8lebN6xU7QqydsyLMn+88GGVpw7kvW9Rl3HGyZ/TNTyn2Q9B1pJThYGGxTpeLegeCfK/7G9OnA5VMmFTCUWxXIIXpVB3sfTFyk7xWd2iv/YKaRStA/Bsl4qWKjrsUaj0WhKjhZSZcZ+++3HGGGwojC5Ip5/EQUwuY8+NNPsFJPtBt5RIVcELgd7bUzKNLN9toUDvDZO9Tt4S4Z8WKbRqO68b6d4Pwp4OFjY+WwkEqPzC18qp7plDZPq3L5TwmBDw+KXJRlJJzNR/DFII4f5Sn9KGPw+Xs1/k/WMKlJ0dkkMDooNrS/TgnwsQ3wFhw7i2nM3CT4voW18C4rPhiAsJaoEncM0Go1Gsyh0al8Z0SAEVRgcYCU5MlZVsELtKVHAUot4TjlYmeeDH1D8MXBpQXFQCdLZyoUt3CYaEPyhQOJ8MGxhxJgcFTdK0MXFrsN4BN9JyWl+B3+M15R1il8+qBUGqxomq7lOQc1hfuE6LGNYLJPHNLqMUpzqteMPMhJebVfjZgprgNEXiwGPRT57DFJcqtxNo9FoNOWFjkiVES5wX1U9x8ftgv3Ye0rxgYr61VRzODDNTlGH4rYgizNCC7UbXYcmFJOrGljbLI+1k8dCjz+GGZwSTQ//AexoJXjVHs2bUcBZfseAWjFUKhfFa1heGDQWMMXvVGCmkgR5Op5tSnKM18ZcJXl1CNetCPi0RKmcT9kpXpMBO2SaOSjbyuTQH9DrVzUs4vzUa1Gj0Wg05YEWUmVEHLglcAu6j80zTSwvDCZmmnm2RPUpxeZRO8UcJP8og/5FpWAJBH+P12KVScTlGj/N5X6apVXpmjgngbVztUVT7NFMiQKmVnC9VH9pEAa3J+tZW5j8PNPEjgW4BmxnpwiU4pM8HM8fpWSvbCvvyZC3h3iuBEryzx4aHBeLCXSacIzeYRLnBR3cFmS40Xc5w2tn20wzb/YhrpJCsJ0Z55prrinaeDUajUazaLSQKiPaleL5KKC9QJGT37oOdcLg4eQodjXjHFeQvZQny9GZWpMdAVGHBTGFYIJZPj2Tno58bkBxRwmjogk6J6ddJIVgtRFilT9WGNyXrOfMWDVhzoDiujwLKilgqEmb70cBh3ttfKMk7+fhXHnFTvFuFDKrRLVSd9opxgiDRx99lKU22IDLA5frwgwPG4o1d9yBE/wOrsuZ43wQBdwXZOeZ/QDsYyVZagQ6kGo0Gk05MzJmDhWEUIoZSrJann8wf+s6vILgKCtJUgh2thI8MsD0kkrmUTvF+q7D9YHL7+PVpR5OURGUT32FrxTl5qO4suuwkWHNJ6yGO0IIdrQSbGPG+UeY5cEwy4OZZl6sahjQdjZwHRqEQQaFoxTjhIEAAgWPRz4BsJQwSArBVzKi0TDn69/lKkUc5ouWZpXicj/NC9KnSeW3sXAayXWBy2WJ2rxtcyB0LZG98cYbCz3mOA5rjFmMPa0kx/sdeEoRDwVXxWv4VIbcFWa15YRGo9GUGVpIlRmhELwZBXlbHb/adbgdGCMMTrSS7G91FjuvJEyskTNvBGAc8EToc1isijEjaGU3rSRvyYDNC9CTbKDEhWAnM84hYZblXYcHSxSVEt0axSo662ekUhgjSEwBJITgqFgVR1pJTvU75uvt1eg6jBcCqeDlXPPbTVyHud1ev3QuupVR8LYMWMOwGCMMTso08c8wy1OhN0+gdhk9xIEkAp9OIRUTsIeZYGMzxkzVKXSalOStApwbb9opts40M1fJklwD+so1SKVSGAJO8dsJlcJRktraWk7uaCeD4ta772afffYp2lg1Go1Gs2i0kCozttznV/z17nswgAMH6TL3rOtwDDBOGCSEwdFmggNiyfka0woh2MyIMcF1mDpCjCcetVOs7TrcE2Q5Lm6XejhFwwc+kxGbF6cX6SL5bcymQRg8GXpslWlmppJ8XuRzsE4IVhadB2SanWIzt4n/C1xOH2HRyi6EEJwZr+a9bMj7rjOvce8qwiJpCLZwm4gLwQqGxUFGDAV8rySrGiZ1wqBOwE7GT813/zaAz/NU1+HqMMOSkUdaSRJQEBHVhaMkdwYZTirBZx0tIqL04Zw5LL744kx59RUA2tvbizEsjUaj0QwSLaTKjLvuuouzV1iBWy69jF9ZSbbLNGMAL+ZWhPui0XUYi8AWBvsaMXa2EqxnWL2aDJwct5mcDfit63DtCBFTGeC+yGNnmWDZPNozlzMR8GUJe+gsSFcU5KhYFbtlWhhYMtngudF1uA4Yh2A5w2Spbp//K/ZotnCbWMuw2NFK9L6RYcxiwmBnM87hYZa3gZWAL1XEs4lRTFeSZYVRkIjdVXaKq3J/r+o6/MIs7PFPAF5B99AzL4YemUUIqVQqRRgOf9MTjUajGS6MnPymCuKSSy4hQrFOpom1zRj7WEm2zTQz0W1iotvEWq7DAbni8EbXYQ3XYetMMxsZFhfFq3kiOYo/JGrYyIz16dRWJwxOi9l8IAx+5jojwsVvmp1ihpIc5LXx9yBDNALMJyTwrgx4pwxr4tY0LGZT2HS6VV2HiW4zzwmTQ8wkVyVquSNRt9DzJqC4wndLZpFdDhwXs0kJg1Vdhy+Bw6wkphAsb5hFSXt8GPLi9tcXGaC6wOfcgqSV4iw/zU0PPljU/Wo0Go2msAg1zJuntLW1UV9fT2trK3V1C0+eypmUEEw0E5wdt6lG8JmKiBS8KgMeCLMoYElhsLUZZ3szweLG4HSxqxS3Bi4PhB4miudHQHSq0XWoBh5KjmK5ERCZanQdlhEGz1U14ClFO6os6sSkUhzttfOODHi3AOfdl67D4cLglkQtq/aj7rDRdVhOGDyQrKe2DI5PKXgn9DnR72A2io2Bfxb5evCLTDMPJUcVzPxjddfh9JjNwUVs0K2U4hfZFv5XRpFhjUajGankUxuMzJlChXDPM8/wYuSxS7aV75RkdcNiLdPi6FgVT1U18FRyFLcl6zkwVjVoEQVgC8FJ8WrOiVcTCsHVIyQy5QEX+B2lHkpRmGankAqu89Nc4Kf5eaaZmWUwqTOE4OpEzXz1e/nkQAR7mvF+iSjoPE5NSvJYGUbvisV6VpwbErXsasb5X5EjN9Dp2rdftrVg0eKA4ue0CyGoFYKPPvqoyHvWaDQaTSHRQqqM2XbbbZmrFN8ryYFeK29H83dmEXlesd3OSnCCZfMggt+OADH1qZ3iGxWNmFXia5DcHmZ5JeoUCft6bUzMNLNvtpUPo6F2/Rk8PiDyOGdudB02c5vYNtPMVmaM42IDMxbxgceiUlTRlA8/M2P80kqW5AfiRXs0PyrJKzL/56SfE2c3BRmaC9SvrzdWExa77rprUfep0Wg0msKizSYqAKUUQghO8Tq4Il7NJlbhbKx/GUvSgeIvQaZg+ygXGl0HG/ifDFlxBKT3TbBTdLgOVcAnVaPnCfFG1+FcP81DVaOKOp67XIfz8ri9Td0mqoRgayPGr60Em5pxYoNYbBi5FVLzk0VRirjcmq5DozDZ2Mh/E+nWnNlDB4onQ59fWok+60jzydKGyYM//FCUfWk0Go2mOGghVSF0iamHIq+gQgrg11aSf4ZZrnYdThkG9VKNuejaGAS2EJh09rHZyLBYXVhsbOZ/wlauTLNTbOA28XYUsEHuPNoHeFBF7J1p4e5kfcEnlje6DvdiMEaY7GmYrCBMHog81ncdXKAOQQyYheJnwD39OAfXcx22NxOcH68eUm1No+uwvDC4tkQNW8sJT6lFuswVgnoEp8Wrief5PHwoyPJI5LMYgrrx47h85kwuDNK8XNVQlHrBxRCE3shNGdVoNJrhiBZSFcR4YbBTD9bAT4Uer0ch25uxvIishBDsYSb4e5jhlCFvrfQsJQz2NhOsZVqsZVg0jFATgS4yKLonTV1sp9jbdThURfzO7+DqeE1BHdpuAI6zEpzYrZfXoaqKp0NvXi1JAsG7UcADkUej6zBtEWKqRhhsY8aHLKKWEQa3JupIjfBzBDpt80vRntgUnde6fPG9jPhzkOHlKOB7JGPGjGHOzFmsKEwOtJKkivQuxxhG0az+NRqNRlMctJCqEM455xwSwM97iJ5cErjMVJLnIo/fqCo+lxGjhcFJQ2g6e3isisf7OYktZzZwHXY2EyOqAW9vbOg6gMADvlYRm3Z7bIKd4mTX4dYoYH+vjX8l6jALJKaWFAa7L9CrKS4EO8eS8923kRljlif5ph/1SnOU5GI/zW1hhlsSddQMYuxLCYO/JOp67S/WriQRnRGzgM4Fh+HMNmacNQyLdV2H94pwDZjoOkhhsJ2RYLk8CClXKY7w2pipJIFSzMrVRMXMGLuacc6J29Qg8l5r2hspYVA8n0CNRqPRFAMtpCqIDqX4Z5jloG62vVNCH6F+Sv07P3ABWFoY/Cyy2MyIDSq6YAvBDYlaDvfa2dV1eLgCxVSj69AoDM6IV5d6KGWBRPC7WBU7WYkerb0PslMcBGyZaeZsv4NL4jV5F1M3ug7VwmSZRdSkeUpxrt/BmzJk20Vs80vXIQBmI5ESmpWkRvSv5u0K1+FlYF2gVpgsIwxejHwSCAIUH0Yhn6uQ/0lJFoWgsy/Xd0ryULKeNfrpBliJJITgb4k6Dsy2MsF1mFrAa8A6rsM4YXBNopbV83RMX40CPpchrQu4/y297NL89+uveTsbIIAqBCsaJmfEbD6SIQawdQGaMo9GFKUXl0aj0WiKx/CdBQwzLr74Yr7++mtuvetuRguDna0ESimuDl1m5izPulqCCSFAwYleB48n6xnfz0nlgqxkWJwes7k8cNnEbeI1e3Te3k+haXQdxiO4KlE77CMH/WEn16EDWNwwF9kfaXJVAxu7TdwcZPIeyUsB/Uk+/UyGTI4CmlB8T6dYWmmBifzWmWZiCOLCZCej05xgeyvO6H5EM37uOhgI6oSJjeAuFVKtInbLtjBXKeJ0prbNzdUIdY/KruM6TMpFa4Y7thDclqxjj2wr77sO6xRATE1yHRqEwd8TdSyZR9OXqJf6rq+++oqPPvqINddcc959S4wdy35zHUI6r6NtSrH7AhHSoTJGGFQjGBVP0uJn87ptjUaj0ZSG4T8TGEbceeedrPTGG/zxq6/ZzIxxQLYNF4WU89v4dgmqpYTBDzJi/BAmJztaCSaZcU71O9jcbWI0ik+Bajr7sdQh8FG8U2YRq/EITorZrDYCJrv94Yvc/5frp6g+FsW/I4/jyK+Q2s9OcVumeV4EtTfWNiwOtJJ0KEULksNliMg0Y+bmxjEB2xlxzkwMPNq4ruswWhhcEqtm41xN4Zuuw/5ARkne7ONcXs11WFIYXDqCopw1CGoQ7A1My+N2b3MdbhMG1cLgT4navIqoUCn+EWaRNTU9Pt5dRAH8MHv2vL8/+ugjtl9rHWYqyTF5XEiwhOC4WBWnj5DedRqNRjMS0LPMCuPLL79kvDD4Za5h5Xd99EL5HsVVYYbbzdiQHLBMIbg2Uct/gyx/C7PsZJg0CpMVDJMaIbjATw9624VgE7eJX5hx9srzinIlMw7BzlaC5QcwWY0VqAg/qxTvyZCf9eGWKITg+G6T2G9lRKtSVAlYSphUDfJ8XtN1mGBY/DlRO19kbkM71S+RMI7OSX/dCDGjUEpxcZDmRyXzWiv5S9dhBoITrCR7W8m8O/RdGqT5Rka0t7cP+LVrrrkmU3+cybrjxnOgqhpUvV1vLG+YjNbtGzUajWbYoIVUBTKzn40klVKkhGBippkr4zVsNkRHv91iSXZbQJx4SlECh+QeaXQdlhYGO5gJztbmEvPRjqJxACmefwB+XaBo3kwU/w6zfQqpBenNAGKgjBEGl8drFpne2BtzkTwZ+qwcHx6XznYleSD0SCD4UIa8KQMui1WznhnjL2GWe8IskVK8nse03kddh9kYXBq32cqM583swVeKmUpymZ/mMxnx6dw5g97W2LFj8eJxdsu2sKUZ4yCriuX6cQ5OjQKaUUQK3pIBb0cBIZ11dQJIo8iWywVTo9FoNENmeMwGNL3i5FKorghc/mPG8l4v9GM/RV2h2TmXcnVnom5IqYzDmQkDEC6jEWxSoP5a0+wUO2daCrLtvtjUbWIzM8ZSQzg/UhhsMUz6jnUoxS+zrczMuRF6dNavneanqRKCdiUJULye57TdKxGcHreZmEdDh69lxGFeG4aCFuRCBhODYW42QzqdZunxS/BMRxvnxWy262PMH8uQI712QBEB5qhRTJny1kJphBqNRqMZPmghNUJwC7QKOlPJslhh/RyYZJhaRC3AU67DWQh+bsZZYQDHpgnFdYHLVkPszdQbbUoyXUaLdO/LB6u4DmOFwWZmjMvjPdfM9BdTwOKDjGZ9JSOu9NOsblhIFDtZCVYSZt7tt18MPXxguwWiPY8EWb5Wkh2sOI2GxauRT7tSvN+DUHrfdTgawUVDPF7decN1OA3BLlaCnfIkopRSnOR38JEMcRtG4ThOXrbbRXV1NU1trUyePJl9tpqIq9RCUfkuahDUCMF3sjwWlzQajUZTeLSQGiEcbCUL4l43V0mcMhBSACsN0p1wOHM8sIowuH6AE+JpdooNXIcr/DTnxavzPtkXQLHiOjFgFIL/S9QOeVtzlGRKFPCrAQrA6TLiSK+N6UrynOxsh/xw6CMEHGIlOTDWe4ehUClejwJuCjK4KMYJgzHC4LBYFSsuMI5PZcjZfpoIxd8NCxPYwohRJwQ3BBnmoLgv8ljfsHhHhoS9fHfXsVNUZ5r5uTn0Bt8Ae7oODga/jVWxZx5rF4UQZJXCUyrvIqo7W265Jc9++AHbrrU23ynJcbGqhb4TyxomdQjeeOMNNtpoo4KNRaPRaDTlgxZSI4RbwwwPRz5/SdTSkMdCeQMoB/kSB1bUQmohxgnB7+P2oITQW3aKiZlmpmRbqEWwv5VkTysxpF44u7sO3wBrGVbRoocf2Sm2yTTjKElqiOd+Bngi8vhVH2IgVIosEKKYqySzleJiv4PpPRg2bOo29WrXfnPg8njok6Fze7OU5D5gbxUBnTU4V8Rr+EZGuCj+GmYRwGwU0+wUja7DUsC1MqQGgdvt/kcif5HmERHgo6gaounIWq7D4jlnvnxaxs9Wkk9kyGWJGn6dbWXttdfmgw8+yNv2F2TNNdfknhdf4JdbTeShyPv/9u47TqrqfPz459w7bWcrO/QqmrUrohEFK4qiYkGNhdgDscVuLMSCDTX2GPsvRk2iEU3UJOpXAygWUFSaiKCgIL3N9r3T7r3n98cum13YNrszO1ue9+u1L2Xmzrnn7p07e595znkOWSj+Hcivd20dZnoZM2ZMq4pcCCGE6HwkkOoGtNbMmDGDC445lqjWpLIYW74yKEhTdbeWGm0Vc5TpbXMxja7Ig2LnNgSYH2b1AOBIK8zvExaFSrVqsdJ9HObhuQAAXAVJREFUrDAhZVCoTH7r8XNyGhY8bUqxdpltxzm5DdmQIitMH6WanH+zRbtcEC0ntm3xXg1RNCU1QUxdi6wwQWVwbANZnx9ch7/bUR7Xeoe1m7ZVFyyywlwTq6AMTQBFIZp362zbWKDU0up7W7XLJbEKXvHntSl4zkLxsj+fPkbqvsDZol3OiJYR0ZocpdDAxLPPTln7jTniiCPYXDMvtK8yOD1axnDTy2jDyzDTgws4lVLeXAghugsJpLqJY445ht2VSe8Ul20eZnjwZziQ0kox0ZPVooVYu5tKrUmkoJ1ZNZmMv9nRpAOp3a0w/ZTBEynOSCSjEpjr2pzchjYKUZxq+rnWW10RcoGTwAUGGyYBYJYd5zE70mDmqSFnAReaPrzbBSkxrbk5XsH6BoKoulJZjrwh3wRDHBUpwYE2F+yeZke5KkWVNFe5DpfEyqnQmvIMFrvpsftuLPn+e1YGPPy3qhJPXOGgWbVpU8b6JIQQon3JnWc3MX36dDZrl8/dVNxW/0+2Ugw3PRxiFae03WSs0y73xq2M7b+jGmaFiaFZ6topaW95MMRK7fJAvIrPnQQ/uU6T2+9phRltlTBIGTyXwSAKIITi523ev+a/Thwb+H+JCFfGKrguXsmEaBnjo2U8aFsUJLHeUgGK/Rvo06MJi5Wuk/ZAqSVM2v5HogTNG06MRAoq6QHcE6+itEdBRoMogKVLl+I41WtVbXBd1miH9dqld+/eGe2XEEKI9iOBVDcxZswYitHcEq/ibTvG8hTdXAM85MvhJI+fw61irrHSN+G7McuDIcK4hDtIKfaOwgb2N7wcnaKCAQCPapeX7Si/jVVwVrSseh2xRvRCcYsvm/8GCijKYBD1jhUmR1UvSNwWc4MhSrXLadEy/mpHeRLNR1k9mJHVg5lZPfg4q5B/JhH8hNG8aEdr/12hXd63Y/yfE+erDhBEAZRpzYOJtn1JsTwYwtCwUjcdeLdUoVJ4iktS0pYQQgjRFhJIdSNaa9Zpl9vilUyMVrDQSU12SinFzb5srvAGmacUJ2cgmCrXLguc1AWHXYECdjfMlFZr3C8YYlEwxKfBQvKVoskQTcEa7aS84l+ypgBneQI7DKFrjbHAcu3wcVaPJofdtcTyYIj1rstCJ8E3rs1xkVLuile1eMHtdCuywuQpxdmetlfZ0wrMFA0Bvs+Xw3DDQ48Mv6+EEEIICaS6Ga01FVpDzWT4VDrTG2CyN5sSZXBUOwdTpcC8FA9b7OyGAHNSFCw3xELzaMJqNCt1kNa8Xifjkgl/scIUKIPzUxAMANwVDPFdirJFRVaYdbjcGK/khlgFm9HMDhbyfQfJRg1Uij/6c9kpBdUV41qzJkUZKVMpHvbn0k+ZZPmkwIwQQojMkUCqm0qgeSIRSXm7J3j83OwN4qS5AMUhVpgxkRKOi5QyLlLKMGVyWjtXguvo3gmG2KxdVjYzl6m1TtOal+0oV8QaLvU8E/hFigKY1poKjDf9aVlDLVlFVpgiK8z+NXPHjjO9HGd6KdYuK5KYW9VeLA3rU7C47FQrzGY0Q1O4PIFfKf6fP4+etsOf/vSnlLUrhBBCJEOq9nVTW7QmVxl8asc5NMVlw8d5/EyzoxRZ4bTdHHpRHGl6OdeTRQ+lyJeKfQ3yAAPT9Lu5NhjiWuCUSGm9x39wHW6MlhJSBudkOJDqi2Kk2V5L/zasyAozQBmcZPrY3/DQR5nsY5j0bad1tFqrGM3LdoSj2/j5MBsYbXgZkuLj7WMY9FEGM2fOZNKkSSltWwghhGgJufvsxmw0f7QjXBurwEpRRa1t7vbl0B+DGWka4peD5j92jInRck6IlKZ1CFtnplX6L/IKNJGa98+riSgXRcv4us5zmaK1Zj2aKfGqlL+/W2qkFWY/w8ML/jwe8edyrjeLYzy+Dh9EQfUcrlXaZWMbM5onAj9oh00pyG5tb4zp441XX+X7779PedtCCCFEcySQ6saiwALX5r9OnFlOPKVtDzFMfukNMCVNQ/zeDoaYGwwxM9iDzWiWpbAKYVdRZIXZVZmYaR7WVqZdTo2WclqklKcSFpNqFp9dqV3Oj5ZRkubiCVu1yywnjq4TLEW05op4Jf2UYq12uLaR4YfpVGSFGWh4+Ls/j6GdIHBqyCbtMq+N19blwRCrtcu98aoU9ep/fukJcIkni6N224N+/fqlvH0hhBCiKRJIdXMaiAOL0xCI/NoToJ9hUNQOhScyl/fomCbU/M5Hp7D0eWPm1QRNh2mHj4OFnF8znHN5MMQK7TLdTm2QXtc/E1FOj5Zxc6yCX8bKWe86rHEdzoiW8ZkT5+OsQhYGQ/yUokIHyRqiDDwdYH5WslZYYQ6wwvRVBrunoHT9tcACnfrPmKBSXOULcrs/m/hGWQhXCCFE+5I5Ut1cHooeSpGOWSSGUjzhy+XSWAUHW2E+72CT6buq960wK1HsrQyOa6cCHI1VsvMDlWkKc1e6Do8lLC5HMyEYosgKc26sHA2s3a54Q6a+MerXSebubXJdshTkKYN9rDA9lcFFpp9J3iwCKQgELw+GmGaVsFm79E7D76QnBlmdMGAVQgjRuUkg1c2Vo5kb6JG2b837GiavB/KZGq/iyEgJs7J6pGU/shjv/1wB9AX+FsgnO4M3lzdaYXorgzPSFMy9moiysSaIAposbOKmuYpkQ3qi2DuDCxG31Bd2nBsSVXg0lKAZZXh5wJ+T8gIuFpoFToKxaXg/WGjsDM2DE0II0X11jq9LRVoEgEs8gbQPPfIqxa2+7LS82YqsMNnA+yme49WZ9QCqgOIMB5efobjCk0VumrIyn7kJ7mrhtpW4nBct47F4FYvbaeHmOJqHE1aHD/JXaIeN2mVmsAcVVK/3lJuGwLMKzZt2LOXtAsx3EmySAb5CCCHamQRS3ViU6oxUe/AoRTpm6/RFcZjp4+dGZktcdyRR4PVAPoM6QIGDvDQF6aXapapONqo5n2YVstm1edKOckWsnFMjpfzXjuGmMYuxbe7Y5Fhl2vaRCnsYntohiMuDIaq05oZ4JVUp/t18Gwyx0LVrKzym0krtkJ2dnfJ2hRBCiKZIINWNFQALHJvydvrGfHfDk7LCE0VWmCMjxZShWa8dbvfJTdQ2XhRv2tFMd4O9a0qPr0hDIZOnEhGqknzfvh8MsTwY4qNgIRXa4c54FeOiZZRrt7Y8upPim/zlwRDLtcOPaVoUORWKDA91Q+6PgoVMd+I8nrBSvi8FaVmq4GjTR1ZV6vsrhBBCNEUCqW6slOphPaXtNLfgt94gg1Xrq/g9YoWrAyirhAMMD0/4cvkiq5DvXIen03DT11nNCxYyzY7xaiKzwdTTwRD+ZoaIzbBj/DkRIdbC9+BW7XJ3vJL37FibipfMCIaYHSzEQjM5XsmYSAljIyWMi5bukKWq1NXl9WfYcf6RiDLTjrPQSdQrt96Utdrl/jSU/m6Irunro/EqTo+UcmusstngMKeBbPEbwLt2jMUpDnoMNFfGU1+KfpTpxS/FJoQQQrSzjj8TWqSN1poBymi34X0DDZO/+fO4JFbB/laY+U3cCI+0wmyt+f8coFAZZCmTXxoezvIG2LPOJH4P1XOkChMGZ3oC5MgNFQrN/YkqzvYGMtsPRaNFC76w49wZt4ji8qod5XDDy86GyWDDZKAy6aMMAlSX55/hxHnZjrJJu2zRLm+kqH9btcs3jmYamkFZhRwaKeb2eBWluKx1XSJobKqvlVI0FVS/HwMopviym6yK+IwV5mFgAAb7m+n7qK3Sms+dOO84cb5xbRIa1uIyEXjLcdnTNvmlN6vJNjzbBbw/C4bYaIW5LF7B5Z4gZ3n8bV6PTGvNCGAecIRVwrXeLMan6P251HWIdfC5aEIIIboeCaS6MVVzY9SzHSua9TNMXgvkc02sgpFWmM+2C6aKrDD9UPRVJocYJgOVwVBlcojHR89GbsgX1pS+fiRhsbvhYZQp86WitM8aUs1JaM0NsUr+6M+pV3Ti+lgF8xwbC5d5wRAXWmFecmLgQC8UWSi0ovadWaU1ETSLUlxCf8l27e2qNdOcGD7gPWBQI/u73ArzcMJitOlrMBNyvxXmHRRnmj5+482ifxLz1WJa82wiwhdugiqt2dUwuduXg6+B/ax1HX4dK6dUa7bWLIRcV4EV5tlEFBc4xxOovea319CVtTwY4u9WmKcSFv9xYrzgz2t1KfRlToKb41WEUbyAZi0ud9kRjvb4UlKMZIvr4GSgMqMQQojuTemWjk/ppMrLy8nPz6esrIy8vLxMd6fDKVSKy71BLmzmG+tUS2jNydFSVtSs9/OIFWZazZpWt3uzGeVpeRBwohWmAsU9/hwONbyN3ix2B+9bYX4HDFQmr2S4/Pk2w6wwOymTZ/y59FAGTyYs3rJjfBIsbPQ1Ca05LlrKzDSVy0+FA60wF3myuNwXrPd4kRWmEMWV3izObcV19edEhMcTFn2Ap4EJKA4zvfzWG6RvTUBWpTXT7Ch/taM7rJm1vRlWmClKMc7087tG5hKeGinlzayCRts43ComoBSvBvIpbEXg85dEhLsTVr1+7meFOdr0MdWXQ0ApvndtPCiGKqPRa3iD67DItTnG9NXLkJ0bLcM8eASzZ89Oum9CCCG6l1TGBpKR6qaUUgxQBg6Kt51YuwdSXqWY6s3mt4kqRlsleJXBRE+AizwBvC28+T/RClNJ9TGc683isA6Qgcm0ycChhpcH/LkpWUg1GV/E4+wJ5Pjqn4dFwRD7WGHOiZWDhgiavzYznNSrVIf/cHoDON+Jcbzr5/54FZu0y0/aoUiZTPYFOaQVlSRjWvOyHeVS4NKaoOPvVpgTnDjzXRsT8KOIoCnVLmcANzeTpRsTDDEGGB0p4VodbHDh2ubKgXwcLGR3K8xtsUqeDCT/R2dnw6TXdhmjmcBYJ85J0VJ6KIMtrosBGApyUChgJ8PkKNNHAMV0J8YXjk05LrNMH/f7cwH4ZyLKKtdhowRRQggh2llHv1cRaeIHTjR9TPRm0SNN6/w0Z3+Pj/dMLz9ph58pM+lM0ndAH6rLNx8tw/kossIcZHh40J/b7hPvr4yW84GboAfwqW/HG/vFrRiS50VxpRXmjykezpcqg4IhNlhhjo2Wsu3d5wBZ0OqgfpodpVK7tUEUwM7BEMva3Nvqvi1ybQ7e7lqp0C5WC+ZJLguGODJSwmbt0jvJzwyn5qeuUDDEV8DbVpj7tMvsOsf8vRXmVGCx4/CJk8BFU2kYOLq6lf7KYEykhLjWOMDNjzycVH+EEEKIVJCqfd2QUoo8FGd5AhkLorbxKUWR4WnVcLzlwRCbcJnlJriznaqidVSHWMUMVQa3+7LbLYjazwpzgBXmEKuYDbj8K5CPjWK0VZyS9seZPj5KSUvps6zm5v/bYIhvgyFcYFgr1zSLaM1f7SinprB/dW3QLnfFq3gqbvFOIlq7ntMXToLKFo7wdoHVrSjlvtZ1KWskWDsxGKoXRAHsGgzxiC+HPihKtEuZ1jjO//a7XrucM/lm1muXTdrl2muvTbpPQgghRFtJINVNeVG83AHWGmqrbXMuAt14ovnBVpjDTB/vBQrY1WifJPPN0XI8KEwU/84q4B+BAn5mePhrIA+donNxpjfQaIGRjmT7+UmbSa56XIV2+UO8ihOjpVRqt9mheq21bU2rR+0Iv0tUcUu8khLtMsNJUJxE5c6WhlFaaz6z45wVKeO5RIRkBw/PdOIUext/P0+dOjXJFoUQQojUkqF93dC2+iL9DIPLdFaj5ak7i92A1dpBa93tCk1MsMJ4lcFl3iyMdjz2T1ybqb5sxm5X/ttE0fL6dE0LKYNeGOxhhVnaQYf3bW95MMQRVglf2HFGNFMwZat2eToe4UM3TnFNSfed03ycdYO+w6xiTomUsgHN+y18va018Zqg6xM7zntOnAQaTfW8plt82XiUYqlrc3uskk3aZTO6NnOXjF97s5gTK2fw4MEsXryY/Pz8pNsQQggh0kkCqW5KKUUItcP6MZ3Rd0B/IAE7LCzalTxohXkDhU8p1muX/oCN4mZPFkOSKK+dCn6ldphrA6R8RbLBhsH85EeSZdR6XN5xGg+kNmuXh+JVfOXabNIu/yH9AVRDPgkW8qMVZmwS+9+CZp6T4DDTx/0Ji+/1/05OXxSjXR9v2DEWugnW6R3LsSejyPBwvzeHv67byO4FPXjgLy9x3nnntbo9IYQQItU6dypCtIkCVulOdpe6nSIrTB+luM0bbHCdna7kOeBI08eDvhwGKoMIiku9WZzUzovuHmEV4wEmRsu5N16FXWd+zdMJi6wUhlP9O2G2tAfwihPj1UQUrTWrXIcNNfOKirXLedEy3nTifJDVgyXBUEaCqG12DoaSCnZ8VC9+C1BUE7wvr2ljM5rJsUrec+LMyipsUxC1zaEeH88G8pjgCXDh+ee3uT0hhBAilSQj1Q3NmDGDLKoLPQzshDeq2zvR9DNmuyFmXVEhimM9PkaYXv4vUIAH8GQgeFSApasXVV1vV88H2rY+0WrX5U+enJTta4Bq30xbKnwRDLGnFebxhMWf7AgxqofTTvHl8FTCYnUz6z51ZIcDxVqT0JqfXIe6Z1oBN3mDnJyGwP5Ij49/dIE5nUIIIbqWzn8XLZJ2zDHHEAH2NjwscJtbQaZj64XifE/7ZmQyYYIVJlcpRtVUhAsolZEgCuANTw5Dlcm7nlxmeXL4wImTqDPv7lUdT9m++hkGPTvh8NNvgyH6o9mkXT7J6kExmtvjlfyknU4z36shTwdDbNEuJ0RL2ao1C+ocSwhFrzQNMR2kDAqUwQBD/mQJIYToOOSvUjd0yy23UAD814lzcayC5Z04mPIr1emLZTRnDyvMYuA409fu60M1pNDn469Z+ezk8+Hz+bC15tp4JT+4Dv2UwWwnkbJ9DVEmXuB9K5yyNtvLP4Kh2vWzvg2GKEMzuBNm2Lb3QbAH07N68EmwR73HA0oxLE1VI3OVwRP+XCIaFi9enJZ9CCGEEMnq2negokH33HMPr0+fDlRX2johWsbSThhMFVlhbKrLR3c0a12H38YqeD4R4dxoGTPtGL+IlnJ6pJRn4xYfOHF+ch2cJtbvedAKc3ikhJGGl1cD+fzam2wB6fYxK1hI1HWZFCvjPSfOdZ7slLU92DC5yJvFPZ0wK1XXkVYYBxjazkVB2svRVphdlEkwTYH+J3acc2LlBHv1ZJ999knLPoQQQohkyRypbmrMmDForclRCgNY5tjs0U5rEKXCiVaYfsrgH4F8enewjNRix+Z38UqWaYd/OdXD3FbFq9hUU4RhmR0h11YEgCxlcJ8vm/22q4BXVHN8kzwBzu+gAVRdf8pKX2nqi7xZLHdthllhFnXSYXHPA2egmOJLXZDZkURRnJemIbbF2uWWRBV3PPM0F198cVr2IYQQQrRGx7oDFe3ulF/+knwUyzpZ9b61wFGGt8MFURXa5cxYGcu0w7hx4xg3bhxaazZqF601WmtiWrNVu6zVLiu0w+WxCh6IV+HWZKeKrDADlcED3uxOEUS1h0u9waQW5y2ywhR1oOGAuwRDBIB/2rFMdyUtgkoxsoFy+KmwWbuYGgmihBBCdDidJwUh0uLbb7/FAW72BjPdlRY7wArTSxlc7+t4fc5VBpd4snjDifH22283u73WmhNPPJE333mXD50Em7RDAYq/+fMY0EWHgbXGIGW0+MNqnw4UQNXVF80ziQhHmj526ULndl8rzImmP23FTz53Emym4w3fFUIIITrW1/mi3S1cuJAcpVAdoIhBSxRZYXoogzcC+eR2sGzUNtf4guxveMhTRot+r2+//TZbtMuGYIAKwA+8IKWe61FKMUSZzWaZhllhvChyOuCcqjUoCpXiCyfOx068dm2pzi4LxXGNLD6cCu85ce687760tS+EEEK0Vse8ExVpV6AUXqXog6Iz3c71VYrJ3uwOG0Rt85g/l0meAIVJ3NBXVlbWDgN8xY52mRvtVDnK9NHU7XqRFaZQGbwSyKNAqQ63VlMMTRWaexIWN8YqmRAr5+F4Vaa71WYeBZ40Bq4hpXjwXgmkhBBCdDwd+25UpMXw4cOJAjd6gzziz+XdQPoKBaTaRq35xk1dee10OsMbIEcp+rcwM1VXArgwVs5y16ZMu3zt2PwnEWW+3fI1mjZvV80wUTNHq7PqpYwGA6m7auZDBYDTTT+VNfPQOpqvgyE+zSpkSTDE58FCZmX14B0nTnEHrDrZUvtYYQYrk4PTWKjmt95sgpWVaWtfCCGEaC2ZI9UNLVy4EIDzPIGMLeraGkVWmCDwUye58eylDN4NFLB3pDjp12qtUUoxKVqORylcYIt26akMXjFM+jcxxyauNffEq5jhxNnL8LC/4WGum2C1dilE8Xwgr1OuvWU2kPkossKEUPzcMDGBCd4AIWUw3PRQZIU7XFZqe2Htck+8ikf8ufUe33b+O6oyq4wTcNjH8PCkPxcjTX11taafMthVmfTv35/169enZT9CCCFEa3S+uynRZlprBimD9Z0kINlmkDK4y5fDTd7OU0J6oZOgB4px48Yl/VqtNbFQIT7gw6wefBMMsU67XBWvaHT9qdWuwy+iZfzXiTEnWMgsN8EjdoTZrs0HWT0o1priDpitaQmz5mebIitMFnC86ePvgXz+FsgnVBMgZnfAOVINWRQMscS12VJzLW7RLqdESjkoUsIHHbTC35lWmJOVy9meAH/z59EjTUH5EtdmRKSEwyMlHGp6URs2pmU/QgghRGtJINVNORqq6Fw31K7W3Bmv4v8lIpnuSou958YpQbeogl9D/OFizqqzPs/yYIgNrsvUBubW/CcR5fxYOUu1w+c1mZjlwVDtD4BSkJ7VftJvkWPj1nnP9kBxhzebKf6cHbbdWBOYvNVBK/jVFQd+ES3jvGgZJ0RKWacdStDcnbAy3bUd7GuFqVQGz/hzudIXTFsmCmCd62CjMXuGeCoRoXMM6BVCCNGdSCDVDSmliKE7ZGWzpuSgqUBT3ElKIVdpzUq39X01TZO+hsmF260lNTtYyAwnzpR4JV85CeY7CS6OlvNAwiJbu00OZ6vSLnfHq7A7WVbqr4kI0+wYd9d5zAcc1Ui1uKm+HEYZHh7rBB9xH2b14KOsHnzvOpSi2RYir61Ze6wjKUAx1ZeT9sW7tdYsdm2CKLZs2cIW7e4w508IIYTINJkj1c3MmDEDD3Cax8+gTraWzdvBEEVWmFlOokPNIVnpOjyWsIhpzVrtEkdziunnSzfBl67d6nb7a5jqb3gY40lonrNjfOgkUFqzHt2i+UCfB0McbBUzy4kzxuNvdd/a00InwSOJCC6asTXHeLhVzCZ0o0P4Bhkm13mDXB3rPEUK5gYLa///YCtMSJkd5j0OMMYK00eZDEtzEJXQmitjFSzRNjO/XpTWfQkhhBBtIYFUN3P+Mcfyc8PDpO2yHK0R1xqfUsS15hMnQVi7DFAGh6RxTZnlwRCHWsWE0fTsABk1rTWT45XM2y5get6OoFCYNdsky+PxcLgy+VkjN603BEPc0JoOA5VoIh0s09GUYYaHO71BHrcj1SXOqR4OtzirEG8jgUaV1twQr2RdJ8lebu9l4CKtOcQqZjMaL9BbGczK6pGxPlkozjR9aR0QHK25nua7iU47l08IIUT3IYFUN6KUYpAy+GsKyp1XaJf9IyXsbZiUak25djEAF8Vox8s9vhwCafg2fawVxgJGRkqY5AnwuZNgd8PD8R4f/ZRBUZq/La+rTLtcEC2nlNSXFXcchw9xKNcuecpIaQYuH0Wh0fGHvG2jlOL6RBW9awLnMz0BjjX9Tb6/vndtSrSmL4pJVpg/dfDqfdvbJRjiOCvMl8rkcV82Ye1yQ7yS4VaYSqAn8Fk7H1MhmufsCEGlODcFX8Rsb73r8JtYBau0w9rS0pS3L4QQQqSaBFLdTGGKKmy9b8cJoThl8s0A3HPPPQCcc845vPXKKxxhxzjJm7qyBj+4DtlAJYpEzXfiL9lREsAWx2WWEycCnO7xMcmThQP4lMLVmr4pHMK4znV4MmGxyHWIoNmqXaw0fHOutSZXKc6PlrNZu2xBMz+rR0oWIt6M5s+JKIeY6cscpkqRFa5dO+oSbxa7Gx5GmN5mXzfc9DItkM+7doy/2J2nOEldmupy7weYXrTW/COQz2dOgv/YMX7SLgdYYea1YzD1djDEA1YZr9oxJngCmCn+ouS6eCVLlcZ2JRMlhBCic1C6o81mTrHy8nLy8/MpKysjLy8v093JqMLCQpySUt4M5DO4jcHFEZES1jcyGV4pRT9lMCtQkJKqXqtch19GyzAAUynWuU6D223L2AzAIIZmK5ozTT9TG6jqlqzlrs0lsQoSGrbg4gDZ2dlUpnGh0IEDB7Ju3ToAsoFjTR8PbLfeUGuNjZTwfgaHibXEQVaYYuA008dV3iADknzPhrXLjbFKvnVtPqsz/6gjmWqFeRHYCVhV81gBiqBSKK3Z1fDwXGDHz61KrRkeKaYXMKedM1MjrWImerNSMjy4rgVOgstiFTz6l5c477zzUtq2EEIIsU0qY4POM75HtFlxcTHlVM8dqWhDBazvXBtba/bbb78Gn9da42rNjfFK3DbG6VprZjhxoLqkdWNB1LZttdas1Q5btEtvFK85MYqsMNMSUcKtPOZi7XJprII12mWDdrBr9pPOIApg7dq1tcfUZ+ededOJp2QIYZEVZvd2HALZGodaxfRTJh8GCvi9PzepIEprzbRElF9Fy/nYTXTYIArgPRSHG14KlYdDDQ9XebJ4wJ/Do74cngjk8UADXwJorXkoXkUuirIM9LkKzT9TvMbVIidBBBhqmFx//gUpbVsIIYRIl459NyVSTmtNL6UYFy3lZ8rD2R4/I01vi4eMPRav4i0nTgWaBQsWNLrdRu3SRxkcFy1lrOnjLE+AgS28GV7oJLg3YXGQ4WGVdvnCiVPcolfWt0m7KKUIAE8kLO5KVDHBE+BWX3IL+t4fr2JzhktR//jjjxxmeFMyT6oQxbgOPKyvyArTRyleCeQTbMXxbkFzW6KKIJCa/F3b/McKc12dfz8CnFRTgXKU4eH5BjJOjXkrEeWehEUZmp7A/HbMRj1jlfEyDvsaHh5LUWYUYI4d57fx6i8lHCBn8KCUtS2EEEKkkwRS3dCWmoBAKcU3cZtspXg/UICviZvWCu1yT7yKj50EW1tYXGFbIPOMHaVUa+5u4RC7ea7Nj67DgppKeNOnT2fMmDEteu326vZTKcW/7Bhv2DH2NzyElMFUXzaeZm7Wt2pNtFV7T50cYHiKskgaOnzVvv0Nb6uCKKiubnefN5tehsFtDSxc3J6KrDD9URxqmOQqg6jWPODanFTzfLJH+KQdoaxmjmB7FZv4yirjcmwKlMHt3mzGmL6UlmW/J1HF5VNu54477khZm0IIIUR7yOjQvo8//piTTjqJ/v37o5Tirbfeqn0ukUhw0003sc8++5CdnU3//v05//zzWb9+feY63MVorSmuWfdofjPrHS1wbWY68RYHUXX3AfCdbnxI3vaWuw5Z6n9D9VobRDXUlxLtUoHmIzfBh068RUOUBnWACne5yuDyFM1JKUHzcCLCAidR+1i8pvJiR+AD9lStn8M3164eCnpPvIotGTym/awwvZXiyUAeLwTyedyfy3OBPE7y+DnYCuOBpIuzH2X46K+M2jXDRlph/mOFKar5Sccx3KxcJnqD/CdQwDEefxrWtlISRAkhhOiUMpqRqqqqYtiwYfzqV7/itNNOq/ecZVnMnz+f2267jWHDhlFSUsLVV1/NySefzFdffZWhHndNca15ORFhqDLp00jQMFSZ5CiD0ibmKDUlP4nv3ktx2ZjGjImuk5F7NGHxVztKUCm2aJcDDQ93+HJqsyFznQTv23Gys5MbDphqFVrXfuuhtUZDqwt5LK8ZVvbbeCXTAvlscF0mxsoZYXh4IolhZumSC+xutu6jaYPrcGW8srokPbRokeJ0mGqFyVMGU7xB9t4uk3iDN8juyiSM5vQkF0We7M/m80iC0VZJdVU/ZfAg0Edr0pF764HBS/68pAt9NKVMu5wXLSeCxodiQwcJ4IUQQohkZTSQOv744zn++OMbfC4/P5/p06fXe+yJJ55gxIgRrF69msGDB7dHF7uFkpo1ipbFyviLP49+2900fWnHuTpeSUkrl+IModi/mWFprtZ86dp85MRZ4NjtErjUDai2HVqFk2BRtJSDTS8jDS8rtYMP2JrmwhLNyQYOjJTQQylWaZdjTC9P+Vsf9GwLpk6NlGGo6izVt9qpXWQ5k1wUzRc4b1ihMihQiixdfQxvWWHGZyCYehfFJE+AoxsIlJRSnNyGpQFeCOSxWVdXjtxDmSSAKJpJ0fLarFQqAsgDrDCHm76UBlEA98YtVmmndtmAsrJMlMwQQggh2q5TzZEqKytDKUVBQUGj28RiMWKx/w3XKi8vb4eedX5aawqV4qxoGYeaPo4yvfQzTC6KluOhegJ/a4stuD0KeLm0lIt0VqOLqK7RLhfGytk2wFC3Y+Cy/XEppfjRjvEmMUwgsyFUtY3a5ZhjjuHjGTMoKCjgq9Iy3rVjnJBkRqOubcHU8qzqm+7DIyW8a8c4JS3Dt1rmICuMB8UIo3WhlF8p/hUooArN3xIRHrZjjE9tF1vEA+zVhuGJTSlURr314PyAH8VxHj/ZTpzvXIeDrWLC6DYFVArITiKTbGnND65Drqpe622uk+DuhMXxpo8AioMND4MMk8+dBBvqLLibn9/2BcKFEEKITOg0gVQ0GuWmm25iwoQJTdZ8v++++7jzzjvbsWddR3GdDM0sJ45JdaaiLcUeoLrs+gDDZJN2GdLAzaWrNRtch2wUZW0I2FIl0/tvTN0Mrc/n47Z4FXsbnjatCVb3RnuLdnk0YfGUHeFI08cl3ixCKVrAuTlFVphsoJcyeDWQj7cNgVyWUmShWK1d3O2yqG9ZYW4DFqc5S7UezXtOghGe9quOONGbxURvFudGy/jOdfBQPccpi9YVpvg5is2NDLtbXjOncqFrs8J1+NxJsFW7mFQvIqwBG80ZZ53FtGnT8ADTnTi5QEQpCZ6EEEJ0CR1mQV6lFG+++Sbjx4/f4blEIsHpp5/O2rVrmTVrVpOBVEMZqUGDBsmCvBmmlOIM08+9DVTuuyBazgrXZnMHCKI6E6UUBxke/hZI7U3p+zXlugcqg3cDBZhpyE5tG4KmgD2BpcAFngC/S7I0fVMOsYqJA3mo2vJ4PiAGbNAuS9MYTI20whQqg3cytOjx/fEqvnMdDjA8PGtHyEGRg2Z6Ese82irjegWvZ/3v/TXbifP/EhGWuA5ZQDnVc7OCvgBVsUjqD0QIIYRIsVQuyNvhM1KJRIIzzzyTn376iQ8++KDZA/b7/fj9rR/uJNIjhGK9dijXLnl1shwV2mWNdtgkE86TZgInm6l/r48NhlhC9aK4b9sxTmnDfJ6GFFlhBiiDnhhYuCzTLr/yBLjBG0zpft7LKmCNdvGj8AHZSlGoDEq1y6mR9M7L+SwY4uhIyQ7v9/Zyc52A9HJvFrfEK2sXtm6pwcF84pFSoDpbeXa0jKjWVAazqKrKbFl5IYQQoiPo0IHUtiBq+fLlfPjhh4RCmanAJdoujOYL12ZcpIwH/TkcbFbPgXk0YVEiQVSr5KHolcbS7HE0j9kRjvD4KEhRMLAtiHrSl8NeNe8BV+tWVyBsSq4y2LOBfhcoAyPNU8CKrDADlYEv6ZWiUs9QirM8Ab5wbfazwixMIiuVoPrLjtMiZYDLJskYCyGEELUyGkhVVlayYsWK2n+vXLmShQsXUlhYSL9+/fjFL37B/Pnzefvtt3Ech40bNwJQWFiIz9d+cw9E29WtkPfbWAUepShSJstcu0MUc+iMcpXaobR2Kn0RDHGwVczXrs3hZtuut22BxXjTx2XeIDvXmdeVjiCqOenOEfXH4HFfbqPFVdrbfqaXgw0vbzvNr5tW12btckSkFAdNlQRRQgghRD0ZXWn0q6++Yvjw4QwfPhyA6667juHDh3P77bezbt06/v3vf7N27Vr2228/+vXrV/szZ86cTHZbtIHWmo3aJbDzUGa5CSbe8juZF9VKCuiZ5oxHGM0MO7khYXXtaoU5zCpmlOHhFX8eD/pz6wVRmVSUpoVsi6wwQw2TfVq5Fla6bNQuCti9hce7xnWIoalAs75OlT0hhBBCVMvoX/ojjzyyyZtoucHuuupmIkXyVq9eTQKwodVrLrVUa6sC7meFGaQMbvQGGduGMu3pUKRM9jc8FBke3rBjDLPCLEpB8YljrDD9lcGdKSyakSrPB/KYZce4KV7FkZESZm1XCCOqNRE0n9px9jO9jIuWYiOfw0IIIURjOtZXpkKIFjlgyE6c4wm0qUx4S82w40zyZrV4+0lWmO9QHG36uMOXTW4Gii0056nA/4rWnOXxc3q0rHpNrTYGU+uACYaPIR0k67a9Iz1+PjZ9HBopocgK4wPiwNO+HG6MVxFF4wESCShAsUXmLwohhBCN6nh3OEKIJpmmyQDD5LIkgpu2SCZWK7LCfI/iCm+Qh/25HTKI2l6uMnjWn8exppcxkRIOsYpbPdyvvzK4ytc+56W1/EoxQBn0VwZjTR/5KK6JV1KBJkH1wrp9Bw6UIEoIIYRohmSkhOhk/K7LXh5vWtZ3ashIo/nBgyOtMEEMhiqDR/257JXGIhjpMNQwedKfR0JrPncSvO5EOTpSwjrt0kcZRLSmBN1kxqrICnOw4SG/EwSPT/tzyVMG2UpRrl3ujFfhR/GxG6enUmyV4XxCCCFEszrX3Y4Qgr1+/nO+m7+wXfblAd5wYox3/Y3OlSqywuykDJ7y5zJQmWR1kEp1reFVisM8Pg7z+CjTLr+NVTLVn8MPjs1f7ShHREpwtGbTdkFVUc3cqN94OnY2apt+dc5lnjJ42J8LwE+uw5hoKX2UIWu7CSGEEM3o+F+dCiHq+eqrrziiBVmiVFgaDJHQmvWN3FRvWxfqaX8uRYanUwdR28tXBv8vkEdvZTDS4+OpQB4fBAp4wJ/LMaaX0VZx7bYDMHjQm83Bns69LMMQw+Tv/rx2y3YKIYQQnZkEUkJ0Mn1Q7GemP5D6eU1pcAfN8AaG6u1jhemHwcPebH7WyYbytZapFKNMLw/4ctE1wUaRFaZAKUZ08iBqm+GGR4YqCCGEEC0gfy+F6GT8SrFfmgOXf1hhfChGGx6WuQ7jItXZl37A50AfpeirDG72BjmgiwQQydiiXdw684jyulAG5yft4iJzpIQQQojmSCAlRCeyevVqgqi0DaErssL0RxFQBhd5AkzyBPiPHWOaE8MAPndtFHC/N4dRphejCwUQyRigDDxK1Vb3C6Z5YeT2lKsUqgsdjxBCCJEuEkgJ0YnstNNODEDxhZNgxHbD+2Ja429hYFNkhemNIqCqb5ldqsf5nmr6OMcTYF/Dg6pp62RvgJO9AZa7NhdFy7kGzaHdMAtVVwzNmpp5Y71QnNbBFhxui/+XiBCWQhNCCCFEsySQEqITWbVqFUOGDOHaWAU/MzwcbXoZqkx+0A4PJiz+Echnj2aG/e1Zk0W5z5fNSNOHVyl0zTA11UQgNtdJUILmF21ctLazK6qZG7aPMumrDI42fRzbRQKpYu3yvhPHkvLnQgghRLMkkBKiExk8eHC9oGehm8Cies5SAFjoJBoNpL61wpwC9AR2M7wcXufmv6kAapuPnATxth9Cl7C3YfJUIC/T3Ui5qNYktKa/YWJrzfP//hcnnXRSprslhBBCdEhStU+ITkprTZXWhEIhNrou4yZM4Fk7yhIn0eD25wAmsIvh4YWadYOas9J1+Ml1ANignSYXpO0u+imD48yuObSxv2Hy90A+j/lyONT0csnJp2S6S0IIIUSHJYGUEJ3c1q1bAXjllVdYp11ujlfVZq22udwKUwlMDxTwkj+vRRkogL8kIpwdLeO4SAkVMtwLAI+G3c2um8wfYpjsb3r5vS+HYDctJiKEEEK0hARSQnQhn3zyCSu0w6du/azUlzX/HWSYSS222lsZbEXzXlYPPgoWprCnnVcFmh9rsnRdmVKKgcpscdAthBBCdDcSSAnRxTjACKN+Rb/Smv9un6lqTkjJR8T2StE8mrBY4tqZ7kraHW/6yM50J4QQQogOSu6ShOhCDj30UPKAC2PlxLYLmvqgks4uHGR6GaAMxlhhvq2p9tfdLQ+G+FG7XB+ryHRX0m6JdqjKdCeEEEKIDkoCKSG6mFKtWeba/C5eyRLX5rVElCygyDCTbmuIYXKnNxtbGZyd+q52akNU8r/PziYH6JplNYQQQoi2k0BKiC7o908+yb+dOJdHK3goYREBNrRykdUjPD4OM7xEUtvFTms/K0wfFBM9gUx3Je3KtJaS90IIIUQjJJASogu6/PLL0VqzTjsUaxetNRENG1tZJKGXMpBSE9WqgLM9AUZ4un6u5hiPjwFIsQkhhBCiIRJICdFNWLicGytnTKSEa2IVfO/aJFpYfOIybxb9lElRJ5sndYkV5hCrmP1S1O9da9p5w4nxYLwKpwuXhP/WtbktXsU6uu4xCiGEEG0hgZQQ3USJ1rz7zWJWuQ7zHZuLoxWcGC3jylgFq5vJVHmV4o/+XAYog5s7UTC1FMUN3iDHmj6OjJSwmxXm5Vb0/wirmFFWMf2UwVuBfD7I6sEbdoz741Yaep15K1ybi6PlrK3JZgohhBBiRxJICdGN7LnnngCs1w6/vOF6olrzmZPggUTztdkGGSbXe7KY00mGeh1ohTnE9DLeG+ABfy5/9edxmSfA35TBUVZxi9spssLsbniIAz1R7GVUL8a7FU1XXU3qbTvGJrQEUUIIIUQTJJASopt68MEHOcPj56tgIU/481r0mpO8AX5uehlpFXfocuhFVpjeyuQOX07tY4MMk2t82bwbKCBkmBwdKeHnLTiGQcrgVl82D/qyecSfW++5zV00lJrfDdbIEkIIIdrKk+kOCCEy5w0nxruROCNNL7f5Wrb06oO+HJ5ORLjMjrLeCrM8GEpzL5NTZIUZpAwe9+fib2DdLKUUr/nzWKddXrCjHG4VMwbN7cEQRVYYL9VrbsWBBJqDTS+DDJNB25WPH4DiV54sSrXLStdhP8OT9DpdHZlhyPdsQgghRFPkL6UQ3Ui/fv3ob5gMUAZZWVmsdh1Wa4eW5aOqmUpxhS/IM4E8ipTRoqxOexlphdlXmfzdn88uTaybpZRioGFymy+bm3zZzMTgYKuYvZTJPd5sHvfncZU3yGjTx8O+3B1ev4cVxlSKRa7NadEyLo1V8Hc7ms5Da1c9lIHrtq5cvhBCCNFdSEZKiG7E2LiJG7xBCpXBQ1GLwYbJEGVyrjcr6bb2MDy8GSjgvngVo60SPgz2SEOPW+YuK8wMFMeYfm7zZeNNIjM0zuNnL8PDWu0wzPCQq6q/X9rH9HAWDa8VZQDHmT5esqMco13+i2KXLrRAb49OMg9OCCGEyCQJpIToRjTQ3zDZ3/TyhseH1rpNw9H8SnGHP4eJ0XKKMjTMr8gKM0AZ3OQNMs7jb1UbOxkmO9HyQCikDNZol3LtckswxMxICXuaXefjNKcLDVEUQggh0qXr/OUXQjRq2LBh/Pj118SAt5wY+5tegJTN6Tnf42dZfMcCBUVWmAIgVxlEtWYLmlxgfgoDrr4obvVmM6YdF8jdoF1cJ0HdwW++LpDF+cl1eDJhMde1ZY6UEEII0QwJpITo4gYaJr2UwSGmj3GmjwNrgqhUOtz0cZgZZ3SkBBfwaEDBYYaHU0w/h3l8fOkkeNuJEdaaoyMlRLRmTrCwzfveiOZNJ9qugdT2mTdLu5wbLeMRf+4ORSk6i//aMe6JW2xA1o4SQgghWkICKSG6OB/weiA/rftQSnGfL4dN2mW9dslViiHKxFcn4zXW42dszdA7S2vGREpSsu/lwRBHWSVs0S69VGayKJ/XVPz7faKqxaXkO5qX7KgEUUIIIUQSZOyGEF1cAtjgpn+9I6UUfWvmXxUZnnpB1PaCSjHQMDjAKqYoBVX/NuLy50Skze20xfJgiK8dh626c1a7y+kCQxOFEEKI9iSBlBBdVEgp+ikDV1eXs+5oBisTBaRittS/gP86cWIZzKYUWWECqnNWvHO0ZlMnDQCFEEKITOl4d1dCiJTIUwYP+nN5MpBLoINVYXO0ZrFr8xc0n6eg8ERRMESldnnTjqWgd62TDZxu+lmm05/9S6WvnQSnRsvYomVYnxBCCJEMmSMlRBf0j3/8gwqtGW548HewIApgRKSEbAV7prB6337AS3aEszz+lFUjTEYM+JsT5SU7ylRfNqNbWYo93eJas9S1+chJ8JEbJ6xd1mktQZQQQgiRJKW7+F/P8vJy8vPzKSsrIy+vc04CFyJZA5XJr7wBzt9uod1i7fK961ClNcNNDwEU79oxBiqDg9ux6t2VsQrec+IpX3fqSKuYPU0PT/hyMTIUQI6wivECJ5h+JvuCGetHQ26NVfKxG8fQsA5NQUEBJSWpKfohhBBCdAapjA0kIyVEF5Sr1A5BFMDTiQhv2FEMFHlKoTWU4+JHMVFn8asGXpNqrtac6fHzkRNPeduzgoUcYRXzjeuwb4YWyPUDVWj+z4nzKx2gEKPDZAUTaDZI9kkIIYRICZkjJUQXctppp9FfGRzRwFpRZdpluhPnjkceoUS7/OQ6rNYOpVrz4ZJveCkR5b92jHiab7JftaP8KlaRtpIM69G8ncG5Up8EC5kfDKHRHB4t5e92tF32G9OaH12HuU6C6XYcq4HzuKfhIaddeiOEEEJ0fTK0T4guZIAyudEXZFwD83PetWPcG69iYyPV2Xr27IkRLmaE6eUxf27a+uhqjQWcGy1jjXaYl+Lhfe9aYZ5QJu9mFaS03WTtZYUJUF0x8UZvkMNMH1kpzEy5WvOBE+d9J84y18FCg4YYmgiaAmVwpSeLU+rMGdvgOpwbK+endiiHL4QQQnREMrRPCNEgj2KHIGqxYzMlXkkxmlhB4wvzbt26FYChhpnWPmrgzGgZZdolHeUYTgiGeChSwhrXYVCaj6UpS2oCxCIrzM3xKiqo5HfeIBelaPjkowmL1+woxcAjwEnbBaQjrTCP2BHedGI84s8lpAzOjJVha02OP4vKWGbX3RJCCCE6OwmkhOhCDKpLi79tx5jmxKjUmlKt2WSA47QsC5Hu8b6mUpxs+njFjvEM6UmIb9Yub9kxrvQF09J+Mi4EXqw5zj8lIikLpD5zEtzKjgFU7fN1ArkzomWc6wmwsWYAwoBE5oY+CiGEEF2FzJESoguxtebYaCkPJiy+dm2WaocbHnmoxUEUgANpnyd1qS/ISNPDKVTf6KfaZOB1J8ZsO/UFLZJ1SzDE8mCIfQEDlbJCDwkaD6LqWh4M0UO7PJWw6I3izUA+aYpfhRBCiG5FMlJCdCFrGpn/lIxyrXnLjnGmN5CCHjXuJl82G2Iu81075W2fEwwxzQrzu0QVjyjFAQ0U32hvXwMjDKPBNa5+ch3+Y8fYzfDQ3zDYy2j+o3lnw6TICreohPw/62zjaN1hqggKIYQQnZlkpIQQ9eiC/HapNFeoDBTVC9nuloas1L+DIcLa5fpYJb+JlWe85HcuMMrwsty1+ciO8YWTqO3Ts4kIT9gRbolXcm60jArtYjfT3+NMH9mt6IcCwlqz1157teLVQgghhNhGMlJCiFp+v59Q3Obydppb9CtPFjE7wveuzeVWmKdSXMHvm5r2DouU8L4T57gGqhm2lzwUz9tRnrejVKDJRdFbKeJAWLs4wBc162AdEykljOabrEL8SuFozVzXpodS7GF40FqzwnXIakUReUMpnvPncvPSZfj9fmIxmS8lhBBCtIYEUkIIoHoNqp4Jm6cCuS0aWpYKh5teDje9XBOv5N00LNC7zUbt8o4Ty2ggtQ5NAVBa8+8D0XxQJ+u0bYjeR8FCAEZYxRwWKWFXw2SoMnnHiaFQ3OfL5o54FT7gd62c7LS/6eVpfx6/ipa1+niEEEKI7k4CKSEEAGVlZQRR7RZEAVwUK2ejdkn9LKkdveck2mEvjVseDFGlNftFigkCzzaTffsiWFg9B8p1+AGHCsCP5t64xRZ0i+ZGNWWrdqXmhBBCCNEGEkgJIQD4+IMPGNGOQdQCJ8GP2mWDdimANgcGjSmywuSjuMGb+VLoHzlxbvIG+YvdsjWctv+dFFlhZgV7pKQvr9pRtnrlT4AQQgjRWvJXVAjBbrvtxiBl8Jg/t932eVasPK0BFPyvtPoF3gBnpbkKYUtMjleioVVFIiB1v6uE1sx3beJ2y8viCyGEEKI+qdonhCAQCFClNWdGy1jppufm+rJoOX9ORPhFpJQ5TgJNej+AHrfC9ERxtSeLKztANgrgRX8e2ajaxXIz4fG4xchICSrDVQyFEEKIzk4yUkIIFi1aBECWUix0Egw1zJTvwwAeTlg4wORYJb1QXJfGWTpPAPsbJle0UwXC5qxxHS6LVVCW4ZlJgwwTH7A2BWuOCSGEEN2ZZKSEELXyUIzx+NLS9t3+HHqgWBYM8TQuc4KF/CJNmZm9rTAamOJr7SC61ivTLlu2C1Lm2HHOj5UTRqOBdWnK+rWEpV22SJkJIYQQos0kIyWEqBUH3rPjnJGG+UTXxSoor7mB3zPNQ9sU4AN2V6nPrDVli3Y5PVqKB8UgZfBLT4Ct2uVZO0qfYftSumIFe1lRBqQh49dSmyUTJYQQQqSEZKSEEAAMVAZ+FCenaa2lYq3xpqXlHS0OhihAscBNTWF1rTX3xKuYGq8i2sTcIg14Uax2Hea4NrfEK3nGjjDl6adYsGABdmUl+7ZjZcSGSHkJIYQQIjUkIyWEqKYUf/fn4Vcq5U3fHa9ks3ZRpL7txmxG85IdZX+z7eHbp26Ct+0YNpojTC+Hmg0PfwyhagfN6QYCLi/wf06cca6/XdfrqivYjudACCGE6MokIyWEAKq/VemnUvuRUKpd7olX8Rc7RhjNV8HClLbflFOAhU7bM1Ku1twRr6ISTRnwcNziYydOooFAyVQKXxOBSrnWlGmX8dEyPsvAAsGO1sxxM7swsRBCCNFVSCAlhAAgB4UnxdmooyOlvGRHAWi/FaqqPRQMAZov7Hib2vlRO1haE9UarTXLtMONsUomxMqJNRBMDTUMVCO/x2nTphED/uzPZWQKMmXJsoG5rk1uBudoCSGEEF2FBFJCCABK0IyNlHBGtAw7RWsMJdCYQACYn4G1k8Jo7klYuG04Hi+KuuUZElqzVbtscG1Oj5bxTNzi34koP7kOZdplpes2GkidddZZxIGvU5Apaw2/UlzrycLNYNVAIYQQoquQQEoIAVSX5P7BddjquvyoU3OjfaM3iEN18YdM+CYYoli7/NuOtbqN/sog0EBgtElrsobtw8N2hCmJKi6KlXN4pIT12sF1G66Md8ghh1CAYlQGslHb9FMGXpknJYQQQrSZBFJCiHqqcPlLIpqStg6sKahwsFWckvZaYy80T9iRJqvtNWWddlmvXZ599tkdnluwYAFaayq0ZrXr8Mgzz2A1sp9wOMyPn33O/b5shmcwkHrTieHKOlJCCCFEm0kgJYSo59MlS5jjJginYL2h3UwvPqqH2O1jhdveuVZ4NhiiTLs8l4i06vX/qJnjddRRRzW77SWXXNLoc2+++Sau1twar+K9NmTI2qJMu6xwHcpSNHRTCCGE6M4kkBJC1LPnnntSol2+TFFVuSXBEMebPjJZK+4VqjMxrQ0Oc4GioqI29WHSpEkU7FpEqcfkzngV50bLKG/nxXF/H7ewJBslhBBCpIQEUkKIHVQC7zttq3ZX16dOotGFYKvaITtSFAyxQbvcG69K+rUFqJQFgd999x2JRIIqNJu1m5Zj/8a1WVunmMS2wiFVWvOWE+PYU09N+T6FEEKI7kgCKSHEDrTW/LhdZbfvXJszo2X8O8n5U67WVNRkQQ7YbnjfPxNRRkWK+bxOifIn4hZHRUo4JVLKg/EqilOUtVkWDDHPtVnuJlcxb5zHzyBl0kMZXHDBBSnpSxaKm33Z9EtxGfJpiSgXRcs5N1bONbEKzo+Wc2CkmEfjFvPcBHko3njjjZTuUwghhOiuJJASQjQojMtsO84CJ8Gvo+VMilaw0LV5K8lMlaEUy7IK+aMvh0rgQKsYrTXXxCp4PGFhATfGq3gybjHTjvOaHeXxN/5JfJehPGdHuasVWaTGrNMudyTZXj/D5N2sAg42vfz7L39JST/sQJDb45VtWuPqHTvGUZESzouWcW2sgnOiZTyViPDMq3/njuee5QOfiTr4QP47Zw6v21EmxioIy7A+IYQQImUkkBJCNKhMayYnqrg6VsksN8EG7aCB4TWV+JJhKsVxHj8jDQ+laJ5MRFjg2KzTLlprBvx8fx6zI9yVqGIrmvHjx7N8+XKCVA+tS5XlwRBrXIf5Sc7/CmuXn1yH0hT1oyoRpVJrfmxltu2VRJSp8SquffghVvXuyec98uh1/FjWaYezzjqLSZMmYVkWs2fPZuTIkWzWLmeffTZbt25N0REIIYQQIvk7IiFEtxBpZP5OtA1ZjXXaRQF/tCP06tOn9vEvv/yywe0dSHkWZQOaJxIWfzbz6z2+1nW4NV7F73xBdt0uWPzGtVmqHXSK5jQFHYdJnizO9gaSel24pgjIEwmLf82pDpKuvfbaFr3273//e2u6KoQQQohGSEZKCNFiS5Ys4T92nHV15k8lUzBhb8NDLgpHazZu3Njs9pdefTWznDgbahYLrkxBILM8GGKR6/DXRIRvXZtNrstMO8a5sXJmuwl+Havg7GgZT8QtLK3RWrPIsQmlMDPmLSzkUTuS9HytM6Jl3Juw+MVllzJy5MiU9UcIIYQQyVM6VV+xdlDl5eXk5+dTVlZGXl5eprsjRKenlOJAw8Pppp8n7QhxrbncG+SXzWRX3k5EuTNhkQ2sTWJIm6kULjAQAxS8GcinQLX+O6By7XJApAQT6I0iBlhoolCbcRo1ahRff/YZhcpAUZ2du/uZp5tcJyoZAwyT+73ZjPT4knrd6EgJa9zG6h8KIYQQojmpjA0kIyWESIrWmkWuzUMJix777M0JF13Iq3bTlfzKtMtNiSqi6KSCKIBtW6/RDnGt+a4NgURcay6PVRCkuiz4eu0S1i6RmszTNnPmzKFSa1a7DjO+W8Zm7aYkiLr88svprwzWa5f5SWajKrRL1/7aSwghhOhcZI6UECJpse3u6Ae/+BIV2iW3iUxRHEhuRlC1ugFOWwfX/blmON/Lb77Z4te0dSHeup59+mlGGV5+bXo5zuNP6rW3xqvYSvsu4CuEEEKIxklGSgjRZhHt8kQi0uBzltaMj5bRB9VoAYuWyFIKVPU8K6iemzU3iep7n9txXrajBPv0Yfz48a3uR1ts3rqV712bMz0BerVgeOJjcYuRVjFXxSrYVZmtCkSFEEIIkR6SkRJCtNlHS5Zw9N77cIXO2iErdWq0lLB2sdo4Ls2LolRrZjtx3nXizHdtbK3JUgov4EHhoTrgOsP0c9p2c7amJiw2otEtKHKRLqFQCA+wd6SYxVmFBFTTObYcpdhK9TEvQPHLyy5rn44KIYQQolkSSAkh2uyQQw4hH/BtN/jutngl67XLfgcf3OZ9BPv0JrJpE7fHqzDQbG4kMMvLy+PRykoGKoMRdYo5HGV6qbA1SqmUlTFvjXXapa8yuCpWwdW+IHsqE9VAQGVpzet2lFNPPZU33ngjAz0VQgghRFOkap8Qos2UUpxg+viDP5dVrsOLiQivODEKUBS3ctHZtvZnoFIoFM/78xhqmAC8lohyX6KKig7wsefxeOjjaHwKclHkKUVIGRxv+hhimDyTiPChE6e8A/RVCCGE6CpSGRtIRkoI0Wb9MbjYEyCmNVfEKvhOV1fWy0QQBf8rUNFXGWzVLkOpDqTecGJUZqRHO7Lt6qp94XCYUCjEiSeeyP/99798Hq8igCKBliBKCCGE6MAkkBJCtFkczadOghvjVWzRTkaHztVlKMVa12GY4eE1O8om1+0wfdsmFAoB8Pbbb2e4J0IIIYRIhgRSQog22/eo0Tz2wQcYwIIlSzLdnVobtMtjCYsn7AhRrTlw3AmZ7pIQQgghuggJpIQQbTZz5sxMd6FBHS37JIQQQoiuQ9aREkIIIYQQQogkZTSQ+vjjjznppJPo378/Sineeuutes9rrbn99tvp168fWVlZjBkzhuXLl2ems0IIIYQQQghRI6OBVFVVFcOGDePJJ59s8PkHHniAxx9/nGeeeYa5c+eSnZ3N2LFjiUaj7dxTIYQQQgghhPifjM6ROv744zn++OMbfE5rzWOPPcatt97KKaecAsBf/vIX+vTpw1tvvcXZZ5/dnl0VQgghhBBCiFoddo7UypUr2bhxI2PGjKl9LD8/n4MOOojPPvus0dfFYjHKy8vr/QghhBBCCCFEKnXYQGrjxo0A9OnTp97jffr0qX2uIffddx/5+fm1P4MGDUprP4UQQgghhBDdT4cNpFpr8uTJlJWV1f6sWbMm010SQgghhBBCdDEdNpDq27cvAJs2bar3+KZNm2qfa4jf7ycvL6/ejxBCCCGEEEKkUocNpIYOHUrfvn3rLfRZXl7O3LlzGTlyZAZ7JoQQQgghhOjuMlq1r7KykhUrVtT+e+XKlSxcuJDCwkIGDx7MNddcwz333ENRURFDhw7ltttuo3///owfPz5znRZCCCGEEEJ0exkNpL766itGjx5d++/rrrsOgAsuuIAXX3yRG2+8kaqqKi6++GJKS0s59NBDee+99wgEApnqshBCCCGEEEKgtNY6051Ip/LycvLz8ykrK5P5UkIIIYQQQnRjqYwNOuwcKSGEEEIIIYToqCSQEkIIIYQQQogkSSAlhBBCCCGEEEmSQEoIIYQQQgghkiSBlBBCCCGEEEIkSQIpIYQQQgghhEiSBFJCCCGEEEIIkSQJpIQQQgghhBAiSRJICSGEEEIIIUSSJJASQgghhBBCiCRJICWEEEIIIYQQSZJASgghhBBCCCGSJIGUEEIIIYQQQiRJAikhhBBCCCGESJIEUkIIIYQQQgiRJAmkhBBCCCGEECJJEkgJIYQQQgghRJIkkBJCCCGEEEKIJEkgJYQQQgghhBBJ8mS6A+mmtQagvLw8wz0RQgghhBBCZNK2mGBbjNAWXT6QqqioAGDQoEEZ7okQQgghhBCiI6ioqCA/P79NbSidinCsA3Ndl/Xr15Obm4tSKuXtl5eXM2jQINasWUNeXl7K2xepI+eq85Bz1XnIueo85Fx1DnKeOg85V51H3XOVm5tLRUUF/fv3xzDaNsupy2ekDMNg4MCBad9PXl6eXESdhJyrzkPOVech56rzkHPVOch56jzkXHUe285VWzNR20ixCSGEEEIIIYRIkgRSQgghhBBCCJEkCaTayO/3M2XKFPx+f6a7Ipoh56rzkHPVeci56jzkXHUOcp46DzlXnUe6zlWXLzYhhBBCCCGEEKkmGSkhhBBCCCGESJIEUkIIIYQQQgiRJAmkhBBCCCGEECJJEkgJIYQQQgghRJIkkGrG1KlTGTVqFMFgkIKCgh2eX7RoERMmTGDQoEFkZWWxxx578Ic//KHZdnfaaSeUUvV+7r///jQcQffR3LkCWL16NePGjSMYDNK7d29uuOEGbNtust3i4mLOOecc8vLyKCgoYOLEiVRWVqbhCLqvWbNm7XA9bPv58ssvG33dkUceucP2l156aTv2vPtpzWdXNBrlN7/5DaFQiJycHE4//XQ2bdrUTj3unlatWsXEiRMZOnQoWVlZ7LLLLkyZMoV4PN7k6+Saah9PPvkkO+20E4FAgIMOOogvvviiye1ff/11dt99dwKBAPvssw/vvvtuO/W0+7rvvvs48MADyc3NpXfv3owfP57vvvuuyde8+OKLO1w/gUCgnXrcfd1xxx07/N533333Jl+TqmtKAqlmxONxzjjjDC677LIGn583bx69e/fmb3/7G0uWLOGWW25h8uTJPPHEE822fdddd7Fhw4banyuvvDLV3e9WmjtXjuMwbtw44vE4c+bM4aWXXuLFF1/k9ttvb7Ldc845hyVLljB9+nTefvttPv74Yy6++OJ0HEK3NWrUqHrXwoYNG5g0aRJDhw7l5z//eZOv/fWvf13vdQ888EA79br7Svaz69prr+U///kPr7/+Oh999BHr16/ntNNOa6fedk/Lli3DdV2effZZlixZwqOPPsozzzzD7373u2ZfK9dUek2bNo3rrruOKVOmMH/+fIYNG8bYsWPZvHlzg9vPmTOHCRMmMHHiRBYsWMD48eMZP34833zzTTv3vHv56KOP+M1vfsPnn3/O9OnTSSQSHHvssVRVVTX5ury8vHrXz08//dROPe7e9tprr3q/908//bTRbVN6TWnRIi+88ILOz89v0baXX365Hj16dJPbDBkyRD/66KNt75jYQWPn6t1339WGYeiNGzfWPvb000/rvLw8HYvFGmzr22+/1YD+8ssvax/7v//7P62U0uvWrUt530W1eDyue/Xqpe+6664mtzviiCP01Vdf3T6dElrr5D+7SktLtdfr1a+//nrtY0uXLtWA/uyzz9LQQ9GYBx54QA8dOrTJbeSaSr8RI0bo3/zmN7X/dhxH9+/fX993330Nbn/mmWfqcePG1XvsoIMO0pdcckla+ynq27x5swb0Rx991Og2ydwritSZMmWKHjZsWIu3T+U1JRmpNCgrK6OwsLDZ7e6//35CoRDDhw/nwQcfbHaImWibzz77jH322Yc+ffrUPjZ27FjKy8tZsmRJo68pKCiolxUZM2YMhmEwd+7ctPe5u/r3v/9NOBzmoosuanbbl19+mZ49e7L33nszefJkLMtqhx52b8l8ds2bN49EIsGYMWNqH9t9990ZPHgwn332WXt0V9Ro6d8muabSJx6PM2/evHrXg2EYjBkzptHr4bPPPqu3PVT/7ZLrp32VlZUBNHsNVVZWMmTIEAYNGsQpp5zS6P2FSK3ly5fTv39/dt55Z8455xxWr17d6LapvKY8Sb9CNGnOnDlMmzaNd955p8ntrrrqKvbff38KCwuZM2cOkydPZsOGDTzyyCPt1NPuZ+PGjfWCKKD23xs3bmz0Nb179673mMfjobCwsNHXiLZ7/vnnGTt2LAMHDmxyu1/+8pcMGTKE/v378/XXX3PTTTfx3Xff8cYbb7RTT7ufZD+7Nm7ciM/n22HeYp8+feQaakcrVqzgj3/8Iw899FCT28k1lV5bt27FcZwG/xYtW7aswdc09rdLrp/247ou11xzDYcccgh77713o9vttttu/PnPf2bfffelrKyMhx56iFGjRrFkyZJm/56J1jvooIN48cUX2W233diwYQN33nknhx12GN988w25ubk7bJ/Ka6pbBlI333wzv//975vcZunSpc1OVNveN998wymnnMKUKVM49thjm9z2uuuuq/3/fffdF5/PxyWXXMJ9992H3+9Par9dWbrOlWgfrTl/a9eu5f333+e1115rtv26c9X22Wcf+vXrx9FHH80PP/zALrvs0vqOdzPJnCf57Mqs1lxT69at47jjjuOMM87g17/+dZOvlWtKiB395je/4Ztvvmly3g3AyJEjGTlyZO2/R40axR577MGzzz7L3Xffne5udlvHH3987f/vu+++HHTQQQwZMoTXXnuNiRMnpnXf3TKQuv7667nwwgub3GbnnXdOqs1vv/2Wo48+mosvvphbb7016T4ddNBB2LbNqlWr2G233ZJ+fVeVynPVt2/fHSojbasc1rdv30Zfs/0EYNu2KS4ubvQ14n9ac/5eeOEFQqEQJ598ctL7O+igg4Dqb9/lpq/l2nKdNffZ1bdvX+LxOKWlpfWyUps2bZJrqBWSPVfr169n9OjRjBo1iueeey7p/ck1lVo9e/bENM0dqlY2dT307ds3qe1Fal1xxRW1haaSzSp5vV6GDx/OihUr0tQ70ZCCggJ23XXXRn/vqbymumUg1atXL3r16pWy9pYsWcJRRx3FBRdcwNSpU1vVxsKFCzEMY4dhZN1dKs/VyJEjmTp1Kps3b679PU+fPp28vDz23HPPRl9TWlrKvHnzOOCAAwD44IMPcF239gZDNC7Z86e15oUXXuD888/H6/Umvb+FCxcC0K9fv6Rf25215Tpr7rPrgAMOwOv1MnPmTE4//XQAvvvuO1avXl3vm1vRMsmcq3Xr1jF69GgOOOAAXnjhBQwj+WnRck2lls/n44ADDmDmzJmMHz8eqB42NnPmTK644ooGXzNy5EhmzpzJNddcU/vY9OnT5fpJM601V155JW+++SazZs1i6NChSbfhOA6LFy/mhBNOSEMPRWMqKyv54YcfOO+88xp8PqXXVNLlKbqZn376SS9YsEDfeeedOicnRy9YsEAvWLBAV1RUaK21Xrx4se7Vq5c+99xz9YYNG2p/Nm/eXNvG3Llz9W677abXrl2rtdZ6zpw5+tFHH9ULFy7UP/zwg/7b3/6me/Xqpc8///yMHGNX0dy5sm1b77333vrYY4/VCxcu1O+9957u1auXnjx5cm0b258rrbU+7rjj9PDhw/XcuXP1p59+qouKivSECRPa/fi6gxkzZmhAL126dIfn1q5dq3fbbTc9d+5crbXWK1as0HfddZf+6quv9MqVK/W//vUvvfPOO+vDDz+8vbvdbbTks2v786S11pdeeqkePHiw/uCDD/RXX32lR44cqUeOHJmJQ+g21q5dq3/2s5/po48+Wq9du7be36e628g11f5effVV7ff79Ysvvqi//fZbffHFF+uCgoLairLnnXeevvnmm2u3nz17tvZ4PPqhhx7SS5cu1VOmTNFer1cvXrw4U4fQLVx22WU6Pz9fz5o1q971Y1lW7Tbbn6s777xTv//++/qHH37Q8+bN02effbYOBAJ6yZIlmTiEbuP666/Xs2bN0itXrtSzZ8/WY8aM0T179qy9F0/nNSWBVDMuuOACDezw8+GHH2qtq0suNvT8kCFDatv48MMPNaBXrlyptdZ63rx5+qCDDtL5+fk6EAjoPfbYQ9977706Go22/wF2Ic2dK621XrVqlT7++ON1VlaW7tmzp77++ut1IpGofX77c6W11uFwWE+YMEHn5OTovLw8fdFFF9UGZyK1JkyYoEeNGtXgcytXrqx3PlevXq0PP/xwXVhYqP1+v/7Zz36mb7jhBl1WVtaOPe5eWvLZtf150lrrSCSiL7/8ct2jRw8dDAb1qaeeWu+GXqTeCy+80ODnYd3vT+Waypw//vGPevDgwdrn8+kRI0bozz//vPa5I444Ql9wwQX1tn/ttdf0rrvuqn0+n95rr730O++808497n4au35eeOGF2m22P1fXXHNN7Xnt06ePPuGEE/T8+fPbv/PdzFlnnaX79eunfT6fHjBggD7rrLP0ihUrap9P5zWltNY6+TyWEEIIIYQQQnRfso6UEEIIIYQQQiRJAikhhBBCCCGESJIEUkIIIYQQQgiRJAmkhBBCCCGEECJJEkgJIYQQQgghRJIkkBJCCCGEEEKIJEkgJYQQQgghhBBJkkBKCCFEl7dq1SqUUixcuDAt7SuleOutt9LSthBCiI5JAikhhBBpd+GFFzJ+/PiM7X/QoEFs2LCBvffeG4BZs2ahlKK0tDRjfRJCCNG5eTLdASGEECLdTNOkb9++me6GEEKILkQyUkIIITLqo48+YsSIEfj9fvr168fNN9+Mbdu1zx955JFcddVV3HjjjRQWFtK3b1/uuOOOem0sW7aMQw89lEAgwJ577smMGTPqDberO7Rv1apVjB49GoAePXqglOLCCy8EYKedduKxxx6r1/Z+++1Xb3/Lly/n8MMPr93X9OnTdzimNWvWcOaZZ1JQUEBhYSGnnHIKq1atauuvSgghRAcigZQQQoiMWbduHSeccAIHHnggixYt4umnn+b555/nnnvuqbfdSy+9RHZ2NnPnzuWBBx7grrvuqg1gHMdh/PjxBINB5s6dy3PPPcctt9zS6D4HDRrEP//5TwC+++47NmzYwB/+8IcW9dd1XU477TR8Ph9z587lmWee4aabbqq3TSKRYOzYseTm5vLJJ58we/ZscnJyOO6444jH48n8eoQQQnRgMrRPCCFExjz11FMMGjSIJ554AqUUu+++O+vXr+emm27i9ttvxzCqv+/bd999mTJlCgBFRUU88cQTzJw5k2OOOYbp06fzww8/MGvWrNrhe1OnTuWYY45pcJ+maVJYWAhA7969KSgoaHF/Z8yYwbJly3j//ffp378/APfeey/HH3987TbTpk3DdV3+9Kc/oZQC4IUXXqCgoIBZs2Zx7LHHJvdLEkII0SFJICWEECJjli5dysiRI2sDDoBDDjmEyspK1q5dy+DBg4HqQKqufv36sXnzZqA6qzRo0KB6c6BGjBiRtv4OGjSoNogCGDlyZL1tFi1axIoVK8jNza33eDQa5YcffkhLv4QQQrQ/CaSEEEJ0eF6vt96/lVK4rpvy/RiGgda63mOJRCKpNiorKznggAN4+eWXd3iuV69ebeqfEEKIjkMCKSGEEBmzxx578M9//hOtdW1Wavbs2eTm5jJw4MAWtbHbbruxZs0aNm3aRJ8+fQD48ssvm3yNz+cDqudX1dWrVy82bNhQ++/y8nJWrlxZr79r1qxhw4YN9OvXD4DPP/+8Xhv7778/06ZNo3fv3uTl5bXoGIQQQnQ+UmxCCCFEuygrK2PhwoX1fi6++GLWrFnDlVdeybJly/jXv/7FlClTuO6662rnRzXnmGOOYZddduGCCy7g66+/Zvbs2dx6660A9YYM1jVkyBCUUrz99tts2bKFyspKAI466ij++te/8sknn7B48WIuuOACTNOsfd2YMWPYddddueCCC1i0aBGffPLJDoUtzjnnHHr27Mkpp5zCJ598wsqVK5k1axZXXXUVa9eubc2vTgghRAckgZQQQoh2MWvWLIYPH17v5+677+bdd9/liy++YNiwYVx66aVMnDixNhBqCdM0eeutt6isrOTAAw9k0qRJtcFNIBBo8DUDBgzgzjvv5Oabb6ZPnz5cccUVAEyePJkjjjiCE088kXHjxjF+/Hh22WWX2tcZhsGbb75JJBJhxIgRTJo0ialTp9ZrOxgM8vHHHzN48GBOO+009thjDyZOnEg0GpUMlRBCdCFKbz8YXAghhOjkZs+ezaGHHsqKFSvqBUJCCCFEqkggJYQQotN78803ycnJoaioiBUrVnD11VfTo0cPPv3000x3TQghRBclxSaEEEJ0ehUVFdx0002sXr2anj17MmbMGB5++OFMd0sIIUQXJhkpIYQQQgghhEiSFJsQQgghhBBCiCRJICWEEEIIIYQQSZJASgghhBBCCCGSJIGUEEIIIYQQQiRJAikhhBBCCCGESJIEUkIIIYQQQgiRJAmkhBBCCCGEECJJEkgJIYQQQgghRJIkkBJCCCGEEEKIJP1/rVfWCj94tXoAAAAASUVORK5CYII=",
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