diff --git a/optimization202/ESUPS_case_study/README.md b/optimization202/ESUPS_case_study/README.md index e80447b..48b21bf 100644 --- a/optimization202/ESUPS_case_study/README.md +++ b/optimization202/ESUPS_case_study/README.md @@ -9,11 +9,6 @@ The goal is to decide: - How much of each supply to store in certain locations - How to respond to disaster events at minimal cost -## Google Colab -[Google Colab Link - ESUPS Case Study](https://colab.research.google.com/github/Gurobi/modeling-examples/blob/master/optimization202/ESUPS_case_study/opti202_disaster_prepositioning.ipynb) - -Note that you must sign in with a Google account to be able to run the code in Colab. - ---- For details on licensing or on running the notebooks, see the overview on [Modeling Examples](../../) diff --git a/optimization202/ESUPS_case_study/data/Book3.xlsx b/optimization202/ESUPS_case_study/data/Book3.xlsx deleted file mode 100644 index d2a5b35..0000000 Binary files a/optimization202/ESUPS_case_study/data/Book3.xlsx and /dev/null differ diff --git a/optimization202/ESUPS_case_study/data/madagascar/depotCoordinates.csv b/optimization202/ESUPS_case_study/data/madagascar/depotCoordinates.csv index f308141..5908a7f 100644 --- a/optimization202/ESUPS_case_study/data/madagascar/depotCoordinates.csv +++ b/optimization202/ESUPS_case_study/data/madagascar/depotCoordinates.csv @@ -1,28 +1,28 @@ -depotCity,depotCountry,gglCountryAscii,gglAddressAscii,gglLat,gglLong -Ambatondrazaka,Madagascar,Madagascar,"Ambatondrazaka, Madagascar",-17.8237,48.4263 -Ambositra,Madagascar,Madagascar,"Ambositra, Madagascar",-20.5167,47.25 -Antananarivo Renivohitra,Madagascar,Madagascar,"Antananarivo Renivohitra, Madagascar",-18.9085,47.5375 -Fenerive Est,Madagascar,Madagascar,"Fenerive Est, Madagascar",-17.3843,49.4098 -Sainte-Marie,Madagascar,Madagascar,"Sainte-Marie, Madagascar",-16.9167,49.9 -Maroantsetra,Madagascar,Madagascar,"Maroantsetra, Madagascar",-15.4309,49.7583 -Mananara,Madagascar,Madagascar,"Mananara, Madagascar",-16.1702,49.7741 -Soanierana Ivongo,Madagascar,Madagascar,"Soanierana Ivongo, Madagascar",-16.9261,49.5871 -Ambovombe,Madagascar,Madagascar,"Ambovombe, Madagascar",-25.17613271,46.08937803 -Taolagnaro,Madagascar,Madagascar,"Taolagnaro, Madagascar",-25.0316,46.99 -Ampanihy,Madagascar,Madagascar,"Ampanihy, Madagascar",-24.2064,45.8658 -Toliary I,Madagascar,Madagascar,"Toliara, Madagascar",-23.35,43.6667 -Benenitra,Madagascar,Madagascar,"Benenitra, Madagascar",-23.4522,45.0781 -Midongy,Madagascar,Madagascar,"Midongy, Madagascar",-23.42605,47.05908 -Farafangana,Madagascar,Madagascar,"Farafangana, Madagascar",-22.8167,47.8167 -Vangaindrano,Madagascar,Madagascar,"Vangaindrano, Madagascar",-23.3505,47.6088 -Toamasina I,Madagascar,Madagascar,"Toamasina I, Madagascar",-18.1499,49.4023 -Maevatanana,Madagascar,Madagascar,"Maevatanana, Madagascar",-16.9504,46.8281 -Mahajanga I,Madagascar,Madagascar,"Mahajanga I, Madagascar",-15.7167,46.3167 -Ambanja,Madagascar,Madagascar,"Ambanja, Madagascar",-13.6804,48.4555 -Miarinarivo,Madagascar,Madagascar,"Miarinarivo, Madagascar",-18.9608,46.9036 -Maintirano,Madagascar,Madagascar,"Maintirano, Madagascar",-18.0646,44.0295 -Morondava,Madagascar,Madagascar,"Morondava, Madagascar",-20.2847,44.3175 -Antalaha,Madagascar,Madagascar,"Antalaha, Madagascar",-14.8833,50.2833 -Sambava,Madagascar,Madagascar,"Sambava, Madagascar",-14.2667,50.1667 -Antsohihy,Madagascar,Madagascar,"Antsohihy, Madagascar",-14.8762,47.9835 -Manakara,Madagascar,Madagascar,"Manakara, Madagascar",-22.15,48 +depotCity,depotCountry,gglCountryAscii,gglAddressAscii,gglLat,gglLong +Ambatondrazaka,Madagascar,Madagascar,"Ambatondrazaka, Madagascar",-17.7237,48.4363 +Ambositra,Madagascar,Madagascar,"Ambositra, Madagascar",-20.5967,47.22 +Antananarivo Renivohitra,Madagascar,Madagascar,"Antananarivo Renivohitra, Madagascar",-18.9185,47.5475 +Fenerive Est,Madagascar,Madagascar,"Fenerive Est, Madagascar",-17.4043,49.3098 +Sainte-Marie,Madagascar,Madagascar,"Sainte-Marie, Madagascar",-16.8467,49.82 +Maroantsetra,Madagascar,Madagascar,"Maroantsetra, Madagascar",-15.4109,49.8583 +Mananara,Madagascar,Madagascar,"Mananara, Madagascar",-16.1502,49.6941 +Soanierana Ivongo,Madagascar,Madagascar,"Soanierana Ivongo, Madagascar",-16.8961,49.5671 +Ambovombe,Madagascar,Madagascar,"Ambovombe, Madagascar",-25.18613271,46.00937803 +Taolagnaro,Madagascar,Madagascar,"Taolagnaro, Madagascar",-24.9916,46.94 +Ampanihy,Madagascar,Madagascar,"Ampanihy, Madagascar",-24.2364,45.9658 +Toliary I,Madagascar,Madagascar,"Toliara, Madagascar",-23.36,43.7067 +Benenitra,Madagascar,Madagascar,"Benenitra, Madagascar",-23.4922,45.0081 +Midongy,Madagascar,Madagascar,"Midongy, Madagascar",-23.47605,47.02908 +Farafangana,Madagascar,Madagascar,"Farafangana, Madagascar",-22.8367,47.7267 +Vangaindrano,Madagascar,Madagascar,"Vangaindrano, Madagascar",-23.2705,47.5788 +Toamasina I,Madagascar,Madagascar,"Toamasina I, Madagascar",-18.2399,49.4823 +Maevatanana,Madagascar,Madagascar,"Maevatanana, Madagascar",-16.9504,46.7881 +Mahajanga I,Madagascar,Madagascar,"Mahajanga I, Madagascar",-15.7067,46.3167 +Ambanja,Madagascar,Madagascar,"Ambanja, Madagascar",-13.6804,48.4455 +Miarinarivo,Madagascar,Madagascar,"Miarinarivo, Madagascar",-18.9608,46.9636 +Maintirano,Madagascar,Madagascar,"Maintirano, Madagascar",-18.0946,43.9495 +Morondava,Madagascar,Madagascar,"Morondava, Madagascar",-20.3547,44.2475 +Antalaha,Madagascar,Madagascar,"Antalaha, Madagascar",-14.8233,50.3633 +Sambava,Madagascar,Madagascar,"Sambava, Madagascar",-14.2167,50.1767 +Antsohihy,Madagascar,Madagascar,"Antsohihy, Madagascar",-14.9562,48.0735 +Manakara,Madagascar,Madagascar,"Manakara, Madagascar",-22.15,48.05 \ No newline at end of file diff --git a/optimization202/ESUPS_case_study/data/vanuatu/abilityToRespond.csv b/optimization202/ESUPS_case_study/data/vanuatu/abilityToRespond.csv deleted file mode 100644 index 958db29..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu/abilityToRespond.csv +++ /dev/null @@ -1,216 +0,0 @@ -gglCountry,item,capacityToRespond -Afghanistan,DEFAULT,10 -Albania,DEFAULT,10 -Algeria,DEFAULT,10 -American Samoa,DEFAULT,10 -Angola,DEFAULT,10 -Anguilla,DEFAULT,10 -Antigua and Barbuda,DEFAULT,10 -Argentina,DEFAULT,10 -Armenia,DEFAULT,10 -Australia,DEFAULT,2.00E+15 -Austria,DEFAULT,2.00E+15 -Azerbaijan,DEFAULT,10 -Bahrain,DEFAULT,10 -Bangladesh,DEFAULT,10 -Barbados,DEFAULT,10 -Belarus,DEFAULT,10 -Belgium,DEFAULT,2.00E+15 -Belize,DEFAULT,10 -Benin,DEFAULT,10 -Bermuda,DEFAULT,10 -Bhutan,DEFAULT,10 -Bolivia,DEFAULT,10 -Bosnia and Herzegovina,DEFAULT,10 -Botswana,DEFAULT,10 -Brazil,DEFAULT,10 -British Virgin Islands,DEFAULT,10 -Brunei,DEFAULT,10 -Bulgaria,DEFAULT,2.00E+15 -Burkina Faso,DEFAULT,10 -Burundi,DEFAULT,10 -Cambodia,DEFAULT,10 -Cameroon,DEFAULT,10 -Canada,DEFAULT,2.00E+15 -Cape Verde,DEFAULT,10 -Cayman Islands,DEFAULT,10 -Central African Republic,DEFAULT,10 -Chad,DEFAULT,10 -Chile,DEFAULT,10 -China,DEFAULT,10 -Colombia,DEFAULT,10 -Comoros,DEFAULT,10 -Congo,DEFAULT,10 -Cook Islands,DEFAULT,10 -Costa Rica,DEFAULT,10 -Cote d'Ivoire,DEFAULT,10 -Croatia,DEFAULT,2.00E+15 -Cuba,DEFAULT,10 -Curacao,DEFAULT,10 -Czech Republic,DEFAULT,2.00E+15 -Democratic Republic of the Congo,DEFAULT,10 -Denmark,DEFAULT,2.00E+15 -Djibouti,DEFAULT,10 -Dominica,DEFAULT,10 -Dominican Republic,DEFAULT,10 -Ecuador,DEFAULT,10 -Egypt,DEFAULT,10 -El Salvador,DEFAULT,10 -Equatorial Guinea,DEFAULT,10 -Eritrea,DEFAULT,10 -Estonia,DEFAULT,2.00E+15 -Ethiopia,DEFAULT,10 -Fiji,DEFAULT,10 -Finland,DEFAULT,2.00E+15 -France,DEFAULT,2.00E+15 -French Guiana,DEFAULT,10 -French Polynesia,DEFAULT,10 -Gabon,DEFAULT,10 -Georgia,DEFAULT,10 -Germany,DEFAULT,2.00E+15 -Ghana,DEFAULT,10 -Greece,DEFAULT,2.00E+15 -Grenada,DEFAULT,10 -Guadeloupe,DEFAULT,10 -Guam,DEFAULT,10 -Guatemala,DEFAULT,10 -Guinea,DEFAULT,10 -Guinea-Bissau,DEFAULT,10 -Guyana,DEFAULT,10 -Haiti,DEFAULT,10 -Honduras,DEFAULT,10 -Hong Kong,DEFAULT,10 -Hungary,DEFAULT,2.00E+15 -Iceland,DEFAULT,2.00E+15 -India,DEFAULT,10 -Indonesia,DEFAULT,10 -Iran,DEFAULT,10 -Iraq,DEFAULT,10 -Ireland,DEFAULT,2.00E+15 -Israel,DEFAULT,10 -Italy,DEFAULT,2.00E+15 -Jamaica,DEFAULT,10 -Japan,DEFAULT,10 -Jordan,DEFAULT,10 -Kazakhstan,DEFAULT,10 -Kenya,DEFAULT,10 -Kiribati,DEFAULT,10 -Kuwait,DEFAULT,10 -Kyrgyzstan,DEFAULT,10 -Laos,DEFAULT,10 -Latvia,DEFAULT,2.00E+15 -Lebanon,DEFAULT,10 -Lesotho,DEFAULT,10 -Liberia,DEFAULT,10 -Libya,DEFAULT,10 -Lithuania,DEFAULT,2.00E+15 -Luxembourg,DEFAULT,2.00E+15 -Macau,DEFAULT,10 -Macedonia (FYROM),DEFAULT,10 -Madagascar,DEFAULT,10 -Malawi,DEFAULT,10 -Malaysia,DEFAULT,10 -Maldives,DEFAULT,10 -Mali,DEFAULT,10 -Malta,DEFAULT,2.00E+15 -Marshall Islands,DEFAULT,10 -Martinique,DEFAULT,10 -Mauritania,DEFAULT,10 -Mauritius,DEFAULT,10 -Mayotte,DEFAULT,10 -Mexico,DEFAULT,10 -Micronesia,DEFAULT,10 -Moldova,DEFAULT,10 -Mongolia,DEFAULT,10 -Montenegro,DEFAULT,10 -Montserrat,DEFAULT,10 -Morocco,DEFAULT,10 -Mozambique,DEFAULT,10 -Namibia,DEFAULT,10 -Nepal,DEFAULT,10 -New Caledonia,DEFAULT,10 -New Zealand,DEFAULT,2.00E+15 -Nicaragua,DEFAULT,10 -Nicosia,DEFAULT,2.00E+15 -Niger,DEFAULT,10 -Nigeria,DEFAULT,10 -Niue,DEFAULT,10 -North Korea,DEFAULT,10 -Northern Mariana Islands,DEFAULT,10 -Norway,DEFAULT,2.00E+15 -Oman,DEFAULT,10 -Pakistan,DEFAULT,10 -Palau,DEFAULT,10 -Panama,DEFAULT,10 -Papua New Guinea,DEFAULT,10 -Paraguay,DEFAULT,10 -Peru,DEFAULT,10 -Philippines,DEFAULT,10 -Poland,DEFAULT,2.00E+15 -Portugal,DEFAULT,2.00E+15 -Puerto Rico,DEFAULT,10 -Qatar,DEFAULT,10 -Republic of the Union of Myanmar,DEFAULT,10 -Reunion,DEFAULT,10 -Romania,DEFAULT,2.00E+15 -Russia,DEFAULT,10 -Rwanda,DEFAULT,10 -Saint Helena,DEFAULT,10 -Saint Kitts and Nevis,DEFAULT,10 -Saint Lucia,DEFAULT,10 -Saint Vincent and the Grenadines,DEFAULT,10 -Samoa,DEFAULT,10 -Sao Tome and Principe,DEFAULT,10 -Saudi Arabia,DEFAULT,10 -Senegal,DEFAULT,10 -Serbia,DEFAULT,10 -Seychelles,DEFAULT,10 -Sierra Leone,DEFAULT,10 -Singapore,DEFAULT,10 -Slovakia,DEFAULT,2.00E+15 -Slovenia,DEFAULT,2.00E+15 -Solomon Islands,DEFAULT,10 -Somalia,DEFAULT,10 -South Africa,DEFAULT,10 -South Korea,DEFAULT,10 -South Sudan,DEFAULT,10 -Spain,DEFAULT,2.00E+15 -Sri Lanka,DEFAULT,10 -Sudan,DEFAULT,10 -Suriname,DEFAULT,10 -Swaziland,DEFAULT,10 -Sweden,DEFAULT,2.00E+15 -Switzerland,DEFAULT,2.00E+15 -Syria,DEFAULT,10 -Taiwan,DEFAULT,10 -Tajikistan,DEFAULT,10 -Tanzania,DEFAULT,10 -Thailand,DEFAULT,10 -The Bahamas,DEFAULT,10 -The Gambia,DEFAULT,10 -The Netherlands,DEFAULT,2.00E+15 -Timor-Leste,DEFAULT,10 -Togo,DEFAULT,10 -Tokelau,DEFAULT,10 -Tonga,DEFAULT,10 -Trinidad and Tobago,DEFAULT,10 -Tunisia,DEFAULT,10 -Turkey,DEFAULT,10 -Turkmenistan,DEFAULT,10 -Turks and Caicos Islands,DEFAULT,10 -Tuvalu,DEFAULT,10 -U.S. Virgin Islands,DEFAULT,10 -Uganda,DEFAULT,10 -Ukraine,DEFAULT,10 -United Arab Emirates,DEFAULT,10 -United Kingdom,DEFAULT,2.00E+15 -United States,DEFAULT,2.00E+15 -Uruguay,DEFAULT,10 -Uzbekistan,DEFAULT,10 -Vanuatu,DEFAULT,10 -Venezuela,DEFAULT,10 -Vietnam,DEFAULT,10 -Wallis and Futuna,DEFAULT,10 -Yemen,DEFAULT,10 -Zambia,DEFAULT,10 -Zimbabwe,DEFAULT,10 diff --git a/optimization202/ESUPS_case_study/data/vanuatu/countryContinents.csv b/optimization202/ESUPS_case_study/data/vanuatu/countryContinents.csv deleted file mode 100644 index 43921a4..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu/countryContinents.csv +++ /dev/null @@ -1,216 +0,0 @@ -gglCountry,Continent -Central African Republic,Africa -Sao Tome and Principe,Africa -Cote d'Ivoire,Africa -Libya,Africa -Democratic Republic of the Congo,Africa -The Gambia,Africa -Guinea-Bissau,Africa -Cape Verde,Africa -Reunion,Africa -Saint Helena,Africa -Mayotte,Africa -Tanzania,Africa -South Sudan,Africa -Congo,Africa -Algeria,Africa -Angola,Africa -Benin,Africa -Botswana,Africa -Burkina Faso,Africa -Burundi,Africa -Cameroon,Africa -Chad,Africa -Comoros,Africa -Djibouti,Africa -Egypt,Africa -Equatorial Guinea,Africa -Eritrea,Africa -Ethiopia,Africa -Gabon,Africa -Ghana,Africa -Guinea,Africa -Kenya,Africa -Lesotho,Africa -Liberia,Africa -Madagascar,Africa -Malawi,Africa -Mali,Africa -Mauritania,Africa -Mauritius,Africa -Morocco,Africa -Mozambique,Africa -Namibia,Africa -Niger,Africa -Nigeria,Africa -Rwanda,Africa -Senegal,Africa -Seychelles,Africa -Sierra Leone,Africa -Somalia,Africa -South Africa,Africa -Sudan,Africa -Swaziland,Africa -Togo,Africa -Tunisia,Africa -Uganda,Africa -Zambia,Africa -Zimbabwe,Africa -Taiwan,Asia -Macau,Asia -North Korea,Asia -Vietnam,Asia -Timor-Leste,Asia -Syria,Asia -Brunei,Asia -Iran,Asia -South Korea,Asia -Israel,Asia -Yemen,Asia -Hong Kong,Asia -Laos,Asia -China,Asia -Russia,Asia -Afghanistan,Asia -Bahrain,Asia -Bangladesh,Asia -Bhutan,Asia -Cambodia,Asia -India,Asia -Indonesia,Asia -Iraq,Asia -Japan,Asia -Jordan,Asia -Kazakhstan,Asia -Kuwait,Asia -Kyrgyzstan,Asia -Lebanon,Asia -Malaysia,Asia -Maldives,Asia -Mongolia,Asia -Republic of the Union of Myanmar,Asia -Nepal,Asia -Oman,Asia -Pakistan,Asia -Philippines,Asia -Qatar,Asia -Saudi Arabia,Asia -Singapore,Asia -Sri Lanka,Asia -Tajikistan,Asia -Thailand,Asia -Turkey,Asia -Turkmenistan,Asia -United Arab Emirates,Asia -Uzbekistan,Asia -Germany,Europe -Portugal,Europe -Czech Republic,Europe -Moldova,Europe -Macedonia (FYROM),Europe -Bosnia and Herzegovina,Europe -Spain,Europe -United Kingdom,Europe -Serbia,Europe -Albania,Europe -Armenia,Europe -Austria,Europe -Azerbaijan,Europe -Belarus,Europe -Belgium,Europe -Bulgaria,Europe -Croatia,Europe -Nicosia,Europe -Denmark,Europe -Estonia,Europe -Finland,Europe -France,Europe -Georgia,Europe -Greece,Europe -Hungary,Europe -Iceland,Europe -Ireland,Europe -Italy,Europe -Latvia,Europe -Lithuania,Europe -Luxembourg,Europe -Malta,Europe -Montenegro,Europe -The Netherlands,Europe -Norway,Europe -Poland,Europe -Romania,Europe -Slovakia,Europe -Slovenia,Europe -Sweden,Europe -Switzerland,Europe -Ukraine,Europe -Saint Vincent and the Grenadines,NorthAmerica -British Virgin Islands,NorthAmerica -Dominican Republic,NorthAmerica -U.S. Virgin Islands,NorthAmerica -Curacao,NorthAmerica -Turks and Caicos Islands,NorthAmerica -Saint Kitts and Nevis,NorthAmerica -Martinique,NorthAmerica -Saint Lucia,NorthAmerica -Guadeloupe,NorthAmerica -Anguilla,NorthAmerica -Antigua and Barbuda,NorthAmerica -The Bahamas,NorthAmerica -Barbados,NorthAmerica -Belize,NorthAmerica -Bermuda,NorthAmerica -Canada,NorthAmerica -Cayman Islands,NorthAmerica -Costa Rica,NorthAmerica -Cuba,NorthAmerica -Dominica,NorthAmerica -El Salvador,NorthAmerica -Grenada,NorthAmerica -Guatemala,NorthAmerica -Haiti,NorthAmerica -Honduras,NorthAmerica -Jamaica,NorthAmerica -Mexico,NorthAmerica -Montserrat,NorthAmerica -Nicaragua,NorthAmerica -Panama,NorthAmerica -Puerto Rico,NorthAmerica -Trinidad and Tobago,NorthAmerica -United States,NorthAmerica -Wallis and Futuna,Oceania -Marshall Islands,Oceania -Cook Islands,Oceania -Northern Mariana Islands,Oceania -Tokelau,Oceania -Solomon Islands,Oceania -Micronesia,Oceania -American Samoa,Oceania -Australia,Oceania -Fiji,Oceania -French Polynesia,Oceania -Guam,Oceania -Kiribati,Oceania -New Caledonia,Oceania -New Zealand,Oceania -Niue,Oceania -Palau,Oceania -Papua New Guinea,Oceania -Samoa,Oceania -Tonga,Oceania -Tuvalu,Oceania -Vanuatu,Oceania -Argentina,SouthAmerica -Bolivia,SouthAmerica -Brazil,SouthAmerica -Chile,SouthAmerica -Colombia,SouthAmerica -Ecuador,SouthAmerica -French Guiana,SouthAmerica -Guyana,SouthAmerica -Paraguay,SouthAmerica -Peru,SouthAmerica -Suriname,SouthAmerica -Uruguay,SouthAmerica -Venezuela,SouthAmerica diff --git a/optimization202/ESUPS_case_study/data/vanuatu/depotCoordinates.csv b/optimization202/ESUPS_case_study/data/vanuatu/depotCoordinates.csv deleted file mode 100644 index bf93432..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu/depotCoordinates.csv +++ /dev/null @@ -1,7 +0,0 @@ -depotCity,gglLat,gglLong,gglCountryAscii,gglAddressAscii -Torba,-13.873643999999956,167.5495830000001,Vanuatu,"Torba, Vanuatu" -Sanma,-15.513757933999957,167.1799922040001,Vanuatu,"Sanma, Vanuatu" -Penama,-15.548909039999955,168.1484143,Vanuatu,"Penama, Vanuatu" -Malampa,-16.10622799099997,167.41678100600006,Vanuatu,"Malampa, Vanuatu" -Shefa,-17.73763299799998,168.3157348850001,Vanuatu,"Shefa, Vanuatu" -Tafea,-19.54447261799993,169.2801722150001,Vanuatu,"Tafea, Vanuatu" diff --git a/optimization202/ESUPS_case_study/data/vanuatu/depotMapping.csv b/optimization202/ESUPS_case_study/data/vanuatu/depotMapping.csv deleted file mode 100644 index 63bcef6..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu/depotMapping.csv +++ /dev/null @@ -1,7 +0,0 @@ -gglAddressAsciiMapFrom,gglAddressAsciiMapTo -"Torba, Vanuatu","Torba, Vanuatu" -"Sanma, Vanuatu","Sanma, Vanuatu" -"Penama, Vanuatu","Penama, Vanuatu" -"Malampa, Vanuatu","Malampa, Vanuatu" -"Shefa, Vanuatu","Shefa, Vanuatu" -"Tafea, Vanuatu","Tafea, Vanuatu" diff --git a/optimization202/ESUPS_case_study/data/vanuatu/depotSelection.csv b/optimization202/ESUPS_case_study/data/vanuatu/depotSelection.csv deleted file mode 100644 index 7cb5bda..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu/depotSelection.csv +++ /dev/null @@ -1,7 +0,0 @@ -gglAddressAscii,gglCountry,include -"Torba, Vanuatu",Vanuatu,1 -"Sanma, Vanuatu",Vanuatu,1 -"Penama, Vanuatu",Vanuatu,1 -"Malampa, Vanuatu",Vanuatu,1 -"Shefa, Vanuatu",Vanuatu,1 -"Tafea, Vanuatu",Vanuatu,1 diff --git a/optimization202/ESUPS_case_study/data/vanuatu/disasterCoordinates.csv b/optimization202/ESUPS_case_study/data/vanuatu/disasterCoordinates.csv deleted file mode 100644 index cad4a3f..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu/disasterCoordinates.csv +++ /dev/null @@ -1,7 +0,0 @@ -emdatCity,gglLat,gglLong,gglCountryAscii,gglAddressAscii -Torba,-13.873643999999956,167.5495830000001,Vanuatu,"Torba, Vanuatu" -Sanma,-15.513757933999957,167.1799922040001,Vanuatu,"Sanma, Vanuatu" -Penama,-15.548909039999955,168.1484143,Vanuatu,"Penama, Vanuatu" -Malampa,-16.10622799099997,167.41678100600006,Vanuatu,"Malampa, Vanuatu" -Shefa,-17.73763299799998,168.3157348850001,Vanuatu,"Shefa, Vanuatu" -Tafea,-19.54447261799993,169.2801722150001,Vanuatu,"Tafea, Vanuatu" diff --git a/optimization202/ESUPS_case_study/data/vanuatu/disasterTypeSelection.csv b/optimization202/ESUPS_case_study/data/vanuatu/disasterTypeSelection.csv deleted file mode 100644 index b1e235a..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu/disasterTypeSelection.csv +++ /dev/null @@ -1,22 +0,0 @@ -disasterType,include -Complex Disasters, -Drought, -Earthquake (seismic activity),1 -Earthquake,1 -Epidemic,1 -Extreme temperature, -Flood,1 -Industrial Accident, -Insect Infestation, -Insect infestation, -Landslide,1 -Mass movement dry,1 -Mass Movement Dry,1 -Mass Movement Wet,1 -Mass movement wet,1 -Miscellaneous accident, -Storm,1 -Transport accident, -Transport Accident, -Volcano,1 -Wildfire,1 diff --git a/optimization202/ESUPS_case_study/data/vanuatu/disasters.csv b/optimization202/ESUPS_case_study/data/vanuatu/disasters.csv deleted file mode 100644 index 8061f64..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu/disasters.csv +++ /dev/null @@ -1,64 +0,0 @@ -Day,Month,Year,origDistrict,Type,DisasterID,TotAffected,gglCountry,gglAddress -16.0,1.0,1985,Penama,Storm,1985-0020-VUT,28870.0,Vanuatu,"Penama, Vanuatu" -16.0,1.0,1985,Sanma,Storm,1985-0020-VUT,42148.0,Vanuatu,"Sanma, Vanuatu" -7.0,2.0,1987,Shefa,Storm,1987-0057-VUT,33969.0,Vanuatu,"Shefa, Vanuatu" -7.0,2.0,1987,Tafea,Storm,1987-0057-VUT,14031.0,Vanuatu,"Tafea, Vanuatu" -11.0,1.0,1988,Sanma,Storm,1988-0040-VUT,3903.0,Vanuatu,"Sanma, Vanuatu" -11.0,1.0,1988,Torba,Storm,1988-0040-VUT,797.0,Vanuatu,"Torba, Vanuatu" -,8.0,1988,Malampa,Storm,1988-0676-VUT,636.0,Vanuatu,"Malampa, Vanuatu" -,8.0,1988,Shefa,Storm,1988-0676-VUT,1364.0,Vanuatu,"Shefa, Vanuatu" -9.0,3.0,1992,Shefa,Storm,1992-0050-VUT,1150.0,Vanuatu,"Shefa, Vanuatu" -30.0,3.0,1993,Shefa,Storm,1993-0024-VUT,12005.0,Vanuatu,"Shefa, Vanuatu" -21.0,3.0,1998,Sanma,Storm,1998-0090-VUT,1254.0,Vanuatu,"Sanma, Vanuatu" -21.0,3.0,1998,Tafea,Storm,1998-0090-VUT,890.0,Vanuatu,"Tafea, Vanuatu" -21.0,3.0,1998,Torba,Storm,1998-0090-VUT,256.0,Vanuatu,"Torba, Vanuatu" -27.0,11.0,1999,Malampa,Earthquake,1999-0524-VUT,3526.0,Vanuatu,"Malampa, Vanuatu" -27.0,11.0,1999,Penama,Earthquake,1999-0524-VUT,3016.0,Vanuatu,"Penama, Vanuatu" -27.0,11.0,1999,Shefa,Earthquake,1999-0524-VUT,7558.0,Vanuatu,"Shefa, Vanuatu" -7.0,4.0,2001,Malampa,Storm,2001-0143-VUT,130.0,Vanuatu,"Malampa, Vanuatu" -7.0,4.0,2001,Penama,Storm,2001-0143-VUT,112.0,Vanuatu,"Penama, Vanuatu" -7.0,4.0,2001,Sanma,Storm,2001-0143-VUT,163.0,Vanuatu,"Sanma, Vanuatu" -7.0,4.0,2001,Shefa,Storm,2001-0143-VUT,280.0,Vanuatu,"Shefa, Vanuatu" -7.0,4.0,2001,Tafea,Storm,2001-0143-VUT,115.0,Vanuatu,"Tafea, Vanuatu" -8.0,6.0,2001,Malampa,Volcanic activity,2001-0254-VUT,1627.0,Vanuatu,"Malampa, Vanuatu" -3.0,1.0,2002,Shefa,Earthquake,2002-0002-VUT,500.0,Vanuatu,"Shefa, Vanuatu" -27.0,11.0,2002,Torba,Earthquake,2002-0770-VUT,503.0,Vanuatu,"Torba, Vanuatu" -21.0,12.0,2002,Tafea,Flood,2002-0829-VUT,3001.0,Vanuatu,"Tafea, Vanuatu" -25.0,2.0,2004,Malampa,Storm,2004-0080-VUT,11057.0,Vanuatu,"Malampa, Vanuatu" -25.0,2.0,2004,Penama,Storm,2004-0080-VUT,9458.0,Vanuatu,"Penama, Vanuatu" -25.0,2.0,2004,Shefa,Storm,2004-0080-VUT,23703.0,Vanuatu,"Shefa, Vanuatu" -25.0,2.0,2004,Tafea,Storm,2004-0080-VUT,9791.0,Vanuatu,"Tafea, Vanuatu" -27.0,11.0,2005,Penama,Volcanic activity,2005-0664-VUT,5000.0,Vanuatu,"Penama, Vanuatu" -9.0,5.0,2006,Malampa,Volcanic activity,2006-0281-VUT,1572.0,Vanuatu,"Malampa, Vanuatu" -,12.0,2008,Malampa,Volcanic activity,2008-0659-VUT,7275.0,Vanuatu,"Malampa, Vanuatu" -15.0,4.0,2009,Malampa,Flood,2009-0171-VUT,950.0,Vanuatu,"Malampa, Vanuatu" -26.0,11.0,2009,Torba,Volcanic activity,2009-0553-VUT,400.0,Vanuatu,"Torba, Vanuatu" -12.0,1.0,2011,Tafea,Storm,2011-0071-VUT,32000.0,Vanuatu,"Tafea, Vanuatu" -9.0,3.0,2014,Malampa,Storm,2014-0096-VUT,3636.0,Vanuatu,"Malampa, Vanuatu" -9.0,3.0,2014,Penama,Storm,2014-0096-VUT,3110.0,Vanuatu,"Penama, Vanuatu" -9.0,3.0,2014,Sanma,Storm,2014-0096-VUT,4540.0,Vanuatu,"Sanma, Vanuatu" -9.0,3.0,2014,Shefa,Storm,2014-0096-VUT,7794.0,Vanuatu,"Shefa, Vanuatu" -9.0,3.0,2014,Torba,Storm,2014-0096-VUT,927.0,Vanuatu,"Torba, Vanuatu" -12.0,3.0,2015,Malampa,Storm,2015-0093-VUT,29428.0,Vanuatu,"Malampa, Vanuatu" -12.0,3.0,2015,Penama,Storm,2015-0093-VUT,25173.0,Vanuatu,"Penama, Vanuatu" -12.0,3.0,2015,Sanma,Storm,2015-0093-VUT,36751.0,Vanuatu,"Sanma, Vanuatu" -12.0,3.0,2015,Shefa,Storm,2015-0093-VUT,63087.0,Vanuatu,"Shefa, Vanuatu" -12.0,3.0,2015,Tafea,Storm,2015-0093-VUT,26059.0,Vanuatu,"Tafea, Vanuatu" -12.0,3.0,2015,Torba,Storm,2015-0093-VUT,7500.0,Vanuatu,"Torba, Vanuatu" -30.0,11.0,2016,Malampa,Epidemic,2016-0528-VUT,63.0,Vanuatu,"Malampa, Vanuatu" -30.0,11.0,2016,Sanma,Epidemic,2016-0528-VUT,79.0,Vanuatu,"Sanma, Vanuatu" -30.0,11.0,2016,Shefa,Epidemic,2016-0528-VUT,136.0,Vanuatu,"Shefa, Vanuatu" -30.0,11.0,2016,Tafea,Epidemic,2016-0528-VUT,56.0,Vanuatu,"Tafea, Vanuatu" -30.0,11.0,2016,Torba,Epidemic,2016-0528-VUT,16.0,Vanuatu,"Torba, Vanuatu" -7.0,5.0,2017,Malampa,Storm,2017-0231-VUT,1024.0,Vanuatu,"Malampa, Vanuatu" -7.0,5.0,2017,Sanma,Storm,2017-0231-VUT,1279.0,Vanuatu,"Sanma, Vanuatu" -7.0,5.0,2017,Torba,Storm,2017-0231-VUT,261.0,Vanuatu,"Torba, Vanuatu" -23.0,9.0,2017,Penama,Volcanic activity,2017-0394-VUT,11000.0,Vanuatu,"Penama, Vanuatu" -,3.0,2018,Penama,Volcanic activity,2018-0147-VUT,6300.0,Vanuatu,"Penama, Vanuatu" -15.0,12.0,2018,Malampa,Volcanic activity,2018-0456-VUT,7286.0,Vanuatu,"Malampa, Vanuatu" -6.0,4.0,2020,Malampa,Storm,2020-0132-VUT,23646.0,Vanuatu,"Malampa, Vanuatu" -6.0,4.0,2020,Penama,Storm,2020-0132-VUT,20227.0,Vanuatu,"Penama, Vanuatu" -6.0,4.0,2020,Sanma,Storm,2020-0132-VUT,29530.0,Vanuatu,"Sanma, Vanuatu" -6.0,4.0,2020,Shefa,Storm,2020-0132-VUT,50691.0,Vanuatu,"Shefa, Vanuatu" -6.0,4.0,2020,Torba,Storm,2020-0132-VUT,6026.0,Vanuatu,"Torba, Vanuatu" -21.0,10.0,2021,Tafea,Volcanic activity,2021-0847-VUT,3586.0,Vanuatu,"Tafea, Vanuatu" diff --git a/optimization202/ESUPS_case_study/data/vanuatu/distanceMatrix.csv b/optimization202/ESUPS_case_study/data/vanuatu/distanceMatrix.csv deleted file mode 100644 index df72334..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu/distanceMatrix.csv +++ /dev/null @@ -1,37 +0,0 @@ -emdatCity,depotCity,distance_km,drivingTime_hrs,depotCountry,emdatCountry,gglCountryAscii_depot,gglCountryAscii_disaster,depotGglAddressAscii,disasterGglAddressAscii,depotGglLat,depotGglLong,disasterGglLat,disasterGglLong -Torba,Torba,0.0,0.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Torba, Vanuatu","Torba, Vanuatu",-13.873643999999956,167.5495830000001,-13.873643999999956,167.5495830000001 -Torba,Sanma,184.0,12.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Sanma, Vanuatu","Torba, Vanuatu",-15.513757933999955,167.1799922040001,-13.873643999999956,167.5495830000001 -Torba,Penama,195.0,12.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Penama, Vanuatu","Torba, Vanuatu",-15.548909039999955,168.1484143,-13.873643999999956,167.5495830000001 -Torba,Malampa,241.0,16.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Malampa, Vanuatu","Torba, Vanuatu",-16.10622799099997,167.41678100600006,-13.873643999999956,167.5495830000001 -Torba,Shefa,430.0,26.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Shefa, Vanuatu","Torba, Vanuatu",-17.73763299799998,168.3157348850001,-13.873643999999956,167.5495830000001 -Torba,Tafea,657.0,36.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Tafea, Vanuatu","Torba, Vanuatu",-19.54447261799993,169.2801722150001,-13.873643999999956,167.5495830000001 -Sanma,Torba,184.0,12.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Torba, Vanuatu","Sanma, Vanuatu",-13.873643999999956,167.5495830000001,-15.513757933999955,167.1799922040001 -Sanma,Sanma,0.0,0.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Sanma, Vanuatu","Sanma, Vanuatu",-15.513757933999955,167.1799922040001,-15.513757933999955,167.1799922040001 -Sanma,Penama,103.0,9.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Penama, Vanuatu","Sanma, Vanuatu",-15.548909039999955,168.1484143,-15.513757933999955,167.1799922040001 -Sanma,Malampa,68.0,4.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Malampa, Vanuatu","Sanma, Vanuatu",-16.10622799099997,167.41678100600006,-15.513757933999955,167.1799922040001 -Sanma,Shefa,274.0,16.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Shefa, Vanuatu","Sanma, Vanuatu",-17.73763299799998,168.3157348850001,-15.513757933999955,167.1799922040001 -Sanma,Tafea,499.0,28.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Tafea, Vanuatu","Sanma, Vanuatu",-19.54447261799993,169.2801722150001,-15.513757933999955,167.1799922040001 -Penama,Torba,195.0,12.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Torba, Vanuatu","Penama, Vanuatu",-13.873643999999956,167.5495830000001,-15.548909039999955,168.1484143 -Penama,Sanma,103.0,9.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Sanma, Vanuatu","Penama, Vanuatu",-15.513757933999955,167.1799922040001,-15.548909039999955,168.1484143 -Penama,Penama,0.0,0.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Penama, Vanuatu","Penama, Vanuatu",-15.548909039999955,168.1484143,-15.548909039999955,168.1484143 -Penama,Malampa,97.0,6.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Malampa, Vanuatu","Penama, Vanuatu",-16.10622799099997,167.41678100600006,-15.548909039999955,168.1484143 -Penama,Shefa,244.0,14.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Shefa, Vanuatu","Penama, Vanuatu",-17.73763299799998,168.3157348850001,-15.548909039999955,168.1484143 -Penama,Tafea,461.0,26.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Tafea, Vanuatu","Penama, Vanuatu",-19.54447261799993,169.2801722150001,-15.548909039999955,168.1484143 -Malampa,Torba,241.0,16.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Torba, Vanuatu","Malampa, Vanuatu",-13.873643999999956,167.5495830000001,-16.10622799099997,167.41678100600006 -Malampa,Sanma,68.0,4.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Sanma, Vanuatu","Malampa, Vanuatu",-15.513757933999955,167.1799922040001,-16.10622799099997,167.41678100600006 -Malampa,Penama,97.0,6.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Penama, Vanuatu","Malampa, Vanuatu",-15.548909039999955,168.1484143,-16.10622799099997,167.41678100600006 -Malampa,Malampa,0.0,0.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Malampa, Vanuatu","Malampa, Vanuatu",-16.10622799099997,167.41678100600006,-16.10622799099997,167.41678100600006 -Malampa,Shefa,205.0,12.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Shefa, Vanuatu","Malampa, Vanuatu",-17.73763299799998,168.3157348850001,-16.10622799099997,167.41678100600006 -Malampa,Tafea,431.0,24.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Tafea, Vanuatu","Malampa, Vanuatu",-19.54447261799993,169.2801722150001,-16.10622799099997,167.41678100600006 -Shefa,Torba,430.0,26.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Torba, Vanuatu","Shefa, Vanuatu",-13.873643999999956,167.5495830000001,-17.73763299799998,168.3157348850001 -Shefa,Sanma,274.0,16.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Sanma, Vanuatu","Shefa, Vanuatu",-15.513757933999955,167.1799922040001,-17.73763299799998,168.3157348850001 -Shefa,Penama,244.0,14.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Penama, Vanuatu","Shefa, Vanuatu",-15.548909039999955,168.1484143,-17.73763299799998,168.3157348850001 -Shefa,Malampa,205.0,12.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Malampa, Vanuatu","Shefa, Vanuatu",-16.10622799099997,167.41678100600006,-17.73763299799998,168.3157348850001 -Shefa,Shefa,0.0,0.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Shefa, Vanuatu","Shefa, Vanuatu",-17.73763299799998,168.3157348850001,-17.73763299799998,168.3157348850001 -Shefa,Tafea,227.0,12.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Tafea, Vanuatu","Shefa, Vanuatu",-19.54447261799993,169.2801722150001,-17.73763299799998,168.3157348850001 -Tafea,Torba,657.0,36.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Torba, Vanuatu","Tafea, Vanuatu",-13.873643999999956,167.5495830000001,-19.54447261799993,169.2801722150001 -Tafea,Sanma,499.0,28.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Sanma, Vanuatu","Tafea, Vanuatu",-15.513757933999955,167.1799922040001,-19.54447261799993,169.2801722150001 -Tafea,Penama,461.0,26.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Penama, Vanuatu","Tafea, Vanuatu",-15.548909039999955,168.1484143,-19.54447261799993,169.2801722150001 -Tafea,Malampa,431.0,24.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Malampa, Vanuatu","Tafea, Vanuatu",-16.10622799099997,167.41678100600006,-19.54447261799993,169.2801722150001 -Tafea,Shefa,227.0,12.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Shefa, Vanuatu","Tafea, Vanuatu",-17.73763299799998,168.3157348850001,-19.54447261799993,169.2801722150001 -Tafea,Tafea,0.0,0.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Tafea, Vanuatu","Tafea, Vanuatu",-19.54447261799993,169.2801722150001,-19.54447261799993,169.2801722150001 diff --git a/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual.csv b/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual.csv deleted file mode 100644 index a39de43..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual.csv +++ /dev/null @@ -1,56 +0,0 @@ -ItemName,Wharehouse(Region),gglAddress,Country,Total -Blankets,Oceania,"Malampa, Vanuatu",Vanuatu,260 -Hygiene Kits,Oceania,"Malampa, Vanuatu",Vanuatu,64 -Kitchen sets,Oceania,"Malampa, Vanuatu",Vanuatu,118 -Shelter tool kits,Oceania,"Malampa, Vanuatu",Vanuatu,93 -Sleeping mats,Oceania,"Malampa, Vanuatu",Vanuatu,280 -Tarpaulins,Oceania,"Malampa, Vanuatu",Vanuatu,415 -Water Containers,Oceania,"Malampa, Vanuatu",Vanuatu,225 -mosquito nets,Oceania,"Malampa, Vanuatu",Vanuatu,400 -Blankets,Oceania,"Penama, Vanuatu",Vanuatu,160 -Hygiene Kits,Oceania,"Penama, Vanuatu",Vanuatu,140 -Kitchen sets,Oceania,"Penama, Vanuatu",Vanuatu,180 -Shelter tool kits,Oceania,"Penama, Vanuatu",Vanuatu,170 -Sleeping mats,Oceania,"Penama, Vanuatu",Vanuatu,159 -Tarpaulins,Oceania,"Penama, Vanuatu",Vanuatu,227 -Water Containers,Oceania,"Penama, Vanuatu",Vanuatu,215 -mosquito nets,Oceania,"Penama, Vanuatu",Vanuatu,190 -Blankets,Oceania,"Sanma, Vanuatu",Vanuatu,954 -Buckets,Oceania,"Sanma, Vanuatu",Vanuatu,209 -Dignity Kits,Oceania,"Sanma, Vanuatu",Vanuatu,295 -Hygiene Kits,Oceania,"Sanma, Vanuatu",Vanuatu,1175 -Kitchen sets,Oceania,"Sanma, Vanuatu",Vanuatu,601 -Shelter tool kits,Oceania,"Sanma, Vanuatu",Vanuatu,760 -Sleeping mats,Oceania,"Sanma, Vanuatu",Vanuatu,2400 -Tarpaulins,Oceania,"Sanma, Vanuatu",Vanuatu,2370 -Water Containers,Oceania,"Sanma, Vanuatu",Vanuatu,4260 -mosquito nets,Oceania,"Sanma, Vanuatu",Vanuatu,50 -Blankets,Oceania,"Shefa, Vanuatu",Vanuatu,2808 -Buckets,Oceania,"Shefa, Vanuatu",Vanuatu,2659 -Dignity Kits,Oceania,"Shefa, Vanuatu",Vanuatu,263 -Hygiene Kits,Oceania,"Shefa, Vanuatu",Vanuatu,3913 -Kitchen sets,Oceania,"Shefa, Vanuatu",Vanuatu,953 -Personal Protection Equipment kit (PPE),Oceania,"Shefa, Vanuatu",Vanuatu,27119 -Shelter tool kits,Oceania,"Shefa, Vanuatu",Vanuatu,201 -Sleeping mats,Oceania,"Shefa, Vanuatu",Vanuatu,840 -Tarpaulins,Oceania,"Shefa, Vanuatu",Vanuatu,5301 -Water Containers,Oceania,"Shefa, Vanuatu",Vanuatu,7123 -Water Purification Tablets,Oceania,"Shefa, Vanuatu",Vanuatu,6000 -mosquito nets,Oceania,"Shefa, Vanuatu",Vanuatu,2063 -Blankets,Oceania,"Tafea, Vanuatu",Vanuatu,243 -Dignity Kits,Oceania,"Tafea, Vanuatu",Vanuatu,199 -Hygiene Kits,Oceania,"Tafea, Vanuatu",Vanuatu,600 -Kitchen sets,Oceania,"Tafea, Vanuatu",Vanuatu,100 -Shelter tool kits,Oceania,"Tafea, Vanuatu",Vanuatu,136 -Sleeping mats,Oceania,"Tafea, Vanuatu",Vanuatu,125 -Tarpaulins,Oceania,"Tafea, Vanuatu",Vanuatu,1200 -Water Containers,Oceania,"Tafea, Vanuatu",Vanuatu,1180 -mosquito nets,Oceania,"Tafea, Vanuatu",Vanuatu,198 -Blankets,Oceania,"Torba, Vanuatu",Vanuatu,319 -Hygiene Kits,Oceania,"Torba, Vanuatu",Vanuatu,192 -Kitchen sets,Oceania,"Torba, Vanuatu",Vanuatu,168 -Shelter tool kits,Oceania,"Torba, Vanuatu",Vanuatu,254 -Sleeping mats,Oceania,"Torba, Vanuatu",Vanuatu,400 -Tarpaulins,Oceania,"Torba, Vanuatu",Vanuatu,466 -Water Containers,Oceania,"Torba, Vanuatu",Vanuatu,286 -mosquito nets,Oceania,"Torba, Vanuatu",Vanuatu,465 diff --git a/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual_50pct.csv b/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual_50pct.csv deleted file mode 100644 index 37a94cb..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual_50pct.csv +++ /dev/null @@ -1,14 +0,0 @@ -ItemName,Wharehouse(Region),gglAddress,Country,Total -Blankets,Oceania,"Shefa, Vanuatu",Vanuatu,6417 -Buckets,Oceania,"Shefa, Vanuatu",Vanuatu,1540 -Hygiene Kits,Oceania,"Shefa, Vanuatu",Vanuatu,770 -Dignity Kits,Oceania,"Shefa, Vanuatu",Vanuatu,3850 -Kitchen sets,Oceania,"Shefa, Vanuatu",Vanuatu,770 -mosquito nets,Oceania,"Shefa, Vanuatu",Vanuatu,1540 -Personal Protection Equipment kit (PPE),Oceania,"Shefa, Vanuatu",Vanuatu,3850 -Water Purification Tablets,Oceania,"Shefa, Vanuatu",Vanuatu,3850 -Shelter tool kits,Oceania,"Shefa, Vanuatu",Vanuatu,770 -Sleeping mats,Oceania,"Shefa, Vanuatu",Vanuatu,3850 -Tarpaulins,Oceania,"Shefa, Vanuatu",Vanuatu,1540 -Family Tents,Oceania,"Shefa, Vanuatu",Vanuatu,770 -Water Containers,Oceania,"Shefa, Vanuatu",Vanuatu,1540 diff --git a/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual_55pct.csv b/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual_55pct.csv deleted file mode 100644 index 4535c1c..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual_55pct.csv +++ /dev/null @@ -1,14 +0,0 @@ -ItemName,Wharehouse(Region),gglAddress,Country,Total -Blankets,Oceania,"Shefa, Vanuatu",Vanuatu,14530 -Buckets,Oceania,"Shefa, Vanuatu",Vanuatu,3487 -Hygiene Kits,Oceania,"Shefa, Vanuatu",Vanuatu,1744 -Dignity Kits,Oceania,"Shefa, Vanuatu",Vanuatu,8718 -Kitchen sets,Oceania,"Shefa, Vanuatu",Vanuatu,1744 -mosquito nets,Oceania,"Shefa, Vanuatu",Vanuatu,3487 -Personal Protection Equipment kit (PPE),Oceania,"Shefa, Vanuatu",Vanuatu,8718 -Water Purification Tablets,Oceania,"Shefa, Vanuatu",Vanuatu,8718 -Shelter tool kits,Oceania,"Shefa, Vanuatu",Vanuatu,1744 -Sleeping mats,Oceania,"Shefa, Vanuatu",Vanuatu,8718 -Tarpaulins,Oceania,"Shefa, Vanuatu",Vanuatu,3487 -Family Tents,Oceania,"Shefa, Vanuatu",Vanuatu,1744 -Water Containers,Oceania,"Shefa, Vanuatu",Vanuatu,3487 diff --git a/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual_60pct.csv b/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual_60pct.csv deleted file mode 100644 index 6251db8..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual_60pct.csv +++ /dev/null @@ -1,14 +0,0 @@ -ItemName,Wharehouse(Region),gglAddress,Country,Total -Blankets,Oceania,"Shefa, Vanuatu",Vanuatu,22103 -Buckets,Oceania,"Shefa, Vanuatu",Vanuatu,5305 -Hygiene Kits,Oceania,"Shefa, Vanuatu",Vanuatu,2652 -Dignity Kits,Oceania,"Shefa, Vanuatu",Vanuatu,13262 -Kitchen sets,Oceania,"Shefa, Vanuatu",Vanuatu,2652 -mosquito nets,Oceania,"Shefa, Vanuatu",Vanuatu,5305 -Personal Protection Equipment kit (PPE),Oceania,"Shefa, Vanuatu",Vanuatu,13262 -Water Purification Tablets,Oceania,"Shefa, Vanuatu",Vanuatu,13262 -Shelter tool kits,Oceania,"Shefa, Vanuatu",Vanuatu,2652 -Sleeping mats,Oceania,"Shefa, Vanuatu",Vanuatu,13262 -Tarpaulins,Oceania,"Shefa, Vanuatu",Vanuatu,5305 -Family Tents,Oceania,"Shefa, Vanuatu",Vanuatu,2652 -Water Containers,Oceania,"Shefa, Vanuatu",Vanuatu,5305 diff --git a/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual_65pct.csv b/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual_65pct.csv deleted file mode 100644 index 730c023..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual_65pct.csv +++ /dev/null @@ -1,14 +0,0 @@ -ItemName,Wharehouse(Region),gglAddress,Country,Total -Blankets,Oceania,"Shefa, Vanuatu",Vanuatu,29900 -Buckets,Oceania,"Shefa, Vanuatu",Vanuatu,7176 -Hygiene Kits,Oceania,"Shefa, Vanuatu",Vanuatu,3588 -Dignity Kits,Oceania,"Shefa, Vanuatu",Vanuatu,17940 -Kitchen sets,Oceania,"Shefa, Vanuatu",Vanuatu,3588 -mosquito nets,Oceania,"Shefa, Vanuatu",Vanuatu,7176 -Personal Protection Equipment kit (PPE),Oceania,"Shefa, Vanuatu",Vanuatu,17940 -Water Purification Tablets,Oceania,"Shefa, Vanuatu",Vanuatu,17940 -Shelter tool kits,Oceania,"Shefa, Vanuatu",Vanuatu,3588 -Sleeping mats,Oceania,"Shefa, Vanuatu",Vanuatu,17940 -Tarpaulins,Oceania,"Shefa, Vanuatu",Vanuatu,7176 -Family Tents,Oceania,"Shefa, Vanuatu",Vanuatu,3588 -Water Containers,Oceania,"Shefa, Vanuatu",Vanuatu,7176 diff --git a/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual_70pct.csv b/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual_70pct.csv deleted file mode 100644 index fa8600a..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual_70pct.csv +++ /dev/null @@ -1,14 +0,0 @@ -ItemName,Wharehouse(Region),gglAddress,Country,Total -Blankets,Oceania,"Shefa, Vanuatu",Vanuatu,47337 -Buckets,Oceania,"Shefa, Vanuatu",Vanuatu,11361 -Hygiene Kits,Oceania,"Shefa, Vanuatu",Vanuatu,5680 -Dignity Kits,Oceania,"Shefa, Vanuatu",Vanuatu,28402 -Kitchen sets,Oceania,"Shefa, Vanuatu",Vanuatu,5680 -mosquito nets,Oceania,"Shefa, Vanuatu",Vanuatu,11361 -Personal Protection Equipment kit (PPE),Oceania,"Shefa, Vanuatu",Vanuatu,28402 -Water Purification Tablets,Oceania,"Shefa, Vanuatu",Vanuatu,28402 -Shelter tool kits,Oceania,"Shefa, Vanuatu",Vanuatu,5680 -Sleeping mats,Oceania,"Shefa, Vanuatu",Vanuatu,28402 -Tarpaulins,Oceania,"Shefa, Vanuatu",Vanuatu,11361 -Family Tents,Oceania,"Shefa, Vanuatu",Vanuatu,5680 -Water Containers,Oceania,"Shefa, Vanuatu",Vanuatu,11361 diff --git a/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual_75pct.csv b/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual_75pct.csv deleted file mode 100644 index d243049..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual_75pct.csv +++ /dev/null @@ -1,14 +0,0 @@ -ItemName,Wharehouse(Region),gglAddress,Country,Total -Blankets,Oceania,"Shefa, Vanuatu",Vanuatu,73333 -Buckets,Oceania,"Shefa, Vanuatu",Vanuatu,17600 -Hygiene Kits,Oceania,"Shefa, Vanuatu",Vanuatu,8800 -Dignity Kits,Oceania,"Shefa, Vanuatu",Vanuatu,44000 -Kitchen sets,Oceania,"Shefa, Vanuatu",Vanuatu,8800 -mosquito nets,Oceania,"Shefa, Vanuatu",Vanuatu,17600 -Personal Protection Equipment kit (PPE),Oceania,"Shefa, Vanuatu",Vanuatu,44000 -Water Purification Tablets,Oceania,"Shefa, Vanuatu",Vanuatu,44000 -Shelter tool kits,Oceania,"Shefa, Vanuatu",Vanuatu,8800 -Sleeping mats,Oceania,"Shefa, Vanuatu",Vanuatu,44000 -Tarpaulins,Oceania,"Shefa, Vanuatu",Vanuatu,17600 -Family Tents,Oceania,"Shefa, Vanuatu",Vanuatu,8800 -Water Containers,Oceania,"Shefa, Vanuatu",Vanuatu,17600 diff --git a/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual_80pct.csv b/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual_80pct.csv deleted file mode 100644 index 809025b..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual_80pct.csv +++ /dev/null @@ -1,14 +0,0 @@ -ItemName,Wharehouse(Region),gglAddress,Country,Total -Blankets,Oceania,"Shefa, Vanuatu",Vanuatu,88012 -Buckets,Oceania,"Shefa, Vanuatu",Vanuatu,21123 -Hygiene Kits,Oceania,"Shefa, Vanuatu",Vanuatu,10561 -Dignity Kits,Oceania,"Shefa, Vanuatu",Vanuatu,52807 -Kitchen sets,Oceania,"Shefa, Vanuatu",Vanuatu,10561 -mosquito nets,Oceania,"Shefa, Vanuatu",Vanuatu,21123 -Personal Protection Equipment kit (PPE),Oceania,"Shefa, Vanuatu",Vanuatu,52807 -Water Purification Tablets,Oceania,"Shefa, Vanuatu",Vanuatu,52807 -Shelter tool kits,Oceania,"Shefa, Vanuatu",Vanuatu,10561 -Sleeping mats,Oceania,"Shefa, Vanuatu",Vanuatu,52807 -Tarpaulins,Oceania,"Shefa, Vanuatu",Vanuatu,21123 -Family Tents,Oceania,"Shefa, Vanuatu",Vanuatu,10561 -Water Containers,Oceania,"Shefa, Vanuatu",Vanuatu,21123 diff --git a/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual_85pct.csv b/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual_85pct.csv deleted file mode 100644 index 6f3d507..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual_85pct.csv +++ /dev/null @@ -1,14 +0,0 @@ -ItemName,Wharehouse(Region),gglAddress,Country,Total -Blankets,Oceania,"Shefa, Vanuatu",Vanuatu,114112 -Buckets,Oceania,"Shefa, Vanuatu",Vanuatu,27387 -Hygiene Kits,Oceania,"Shefa, Vanuatu",Vanuatu,13693 -Dignity Kits,Oceania,"Shefa, Vanuatu",Vanuatu,68467 -Kitchen sets,Oceania,"Shefa, Vanuatu",Vanuatu,13693 -mosquito nets,Oceania,"Shefa, Vanuatu",Vanuatu,27387 -Personal Protection Equipment kit (PPE),Oceania,"Shefa, Vanuatu",Vanuatu,68467 -Water Purification Tablets,Oceania,"Shefa, Vanuatu",Vanuatu,68467 -Shelter tool kits,Oceania,"Shefa, Vanuatu",Vanuatu,13693 -Sleeping mats,Oceania,"Shefa, Vanuatu",Vanuatu,68467 -Tarpaulins,Oceania,"Shefa, Vanuatu",Vanuatu,27387 -Family Tents,Oceania,"Shefa, Vanuatu",Vanuatu,13693 -Water Containers,Oceania,"Shefa, Vanuatu",Vanuatu,27387 diff --git a/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual_90pct.csv b/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual_90pct.csv deleted file mode 100644 index a46ece3..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual_90pct.csv +++ /dev/null @@ -1,14 +0,0 @@ -ItemName,Wharehouse(Region),gglAddress,Country,Total -Blankets,Oceania,"Shefa, Vanuatu",Vanuatu,207017 -Buckets,Oceania,"Shefa, Vanuatu",Vanuatu,49684 -Hygiene Kits,Oceania,"Shefa, Vanuatu",Vanuatu,24842 -Dignity Kits,Oceania,"Shefa, Vanuatu",Vanuatu,124210 -Kitchen sets,Oceania,"Shefa, Vanuatu",Vanuatu,24842 -mosquito nets,Oceania,"Shefa, Vanuatu",Vanuatu,49684 -Personal Protection Equipment kit (PPE),Oceania,"Shefa, Vanuatu",Vanuatu,124210 -Water Purification Tablets,Oceania,"Shefa, Vanuatu",Vanuatu,124210 -Shelter tool kits,Oceania,"Shefa, Vanuatu",Vanuatu,24842 -Sleeping mats,Oceania,"Shefa, Vanuatu",Vanuatu,124210 -Tarpaulins,Oceania,"Shefa, Vanuatu",Vanuatu,49684 -Family Tents,Oceania,"Shefa, Vanuatu",Vanuatu,24842 -Water Containers,Oceania,"Shefa, Vanuatu",Vanuatu,49684 diff --git a/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual_95pct.csv b/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual_95pct.csv deleted file mode 100644 index 20400a9..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu/inventory/actual_95pct.csv +++ /dev/null @@ -1,14 +0,0 @@ -ItemName,Wharehouse(Region),gglAddress,Country,Total -Blankets,Oceania,"Shefa, Vanuatu",Vanuatu,308507 -Buckets,Oceania,"Shefa, Vanuatu",Vanuatu,74042 -Hygiene Kits,Oceania,"Shefa, Vanuatu",Vanuatu,37021 -Dignity Kits,Oceania,"Shefa, Vanuatu",Vanuatu,185104 -Kitchen sets,Oceania,"Shefa, Vanuatu",Vanuatu,37021 -mosquito nets,Oceania,"Shefa, Vanuatu",Vanuatu,74042 -Personal Protection Equipment kit (PPE),Oceania,"Shefa, Vanuatu",Vanuatu,185104 -Water Purification Tablets,Oceania,"Shefa, Vanuatu",Vanuatu,185104 -Shelter tool kits,Oceania,"Shefa, Vanuatu",Vanuatu,37021 -Sleeping mats,Oceania,"Shefa, Vanuatu",Vanuatu,185104 -Tarpaulins,Oceania,"Shefa, Vanuatu",Vanuatu,74042 -Family Tents,Oceania,"Shefa, Vanuatu",Vanuatu,37021 -Water Containers,Oceania,"Shefa, Vanuatu",Vanuatu,74042 diff --git a/optimization202/ESUPS_case_study/data/vanuatu/inventory/rm_data.py b/optimization202/ESUPS_case_study/data/vanuatu/inventory/rm_data.py deleted file mode 100644 index db5fb01..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu/inventory/rm_data.py +++ /dev/null @@ -1,13 +0,0 @@ -import pandas as pd - -df=pd.read_csv('actual.csv') -print(df) - -# Drop rows where ItemName is not 'Blankets' or 'Bucket' -df_filtered = df[df['ItemName'].isin(['Blankets', 'Bucket'])] - -# Display filtered DataFrame -print("\nFiltered DataFrame:") -print(df_filtered) - -df_filtered.to_csv('actual.csv', index=False) \ No newline at end of file diff --git a/optimization202/ESUPS_case_study/data/vanuatu/items.csv b/optimization202/ESUPS_case_study/data/vanuatu/items.csv deleted file mode 100644 index 6c91933..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu/items.csv +++ /dev/null @@ -1,14 +0,0 @@ -ItemName,WeightMetricTon,CubicMeters -Blankets,0.0015,0.01 -Buckets,0.00091,0.00617 -Dignity Kits,0.0056,0.0262 -Family Tents,0.0528,0.19 -Hygiene Kits,0.0056,0.0262 -Kitchen sets,0.00499,0.01763 -mosquito nets,0.0004435,0.00135 -Personal Protection Equipment kit (PPE),0.0035,0.0000288 -Shelter tool kits,0.010421,0.02819 -Sleeping mats,0.00144,0.00745 -Water Containers,0.0001738,0.0021 -Water Purification Tablets,0.00000577,0.00003 -Tarpaulins,0.0041626,0.00943 diff --git a/optimization202/ESUPS_case_study/data/vanuatu/personsPerItem.csv b/optimization202/ESUPS_case_study/data/vanuatu/personsPerItem.csv deleted file mode 100644 index 7599498..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu/personsPerItem.csv +++ /dev/null @@ -1,29 +0,0 @@ -Item,Disaster Type,Month,gglCountry,PersonsPerItem -Blankets,DEFAULT,DEFAULT,DEFAULT,0.6 -Buckets,DEFAULT,DEFAULT,DEFAULT,2.5 -Dignity Kits,DEFAULT,DEFAULT,DEFAULT,1 -Family Tents,DEFAULT,DEFAULT,DEFAULT,5 -Hygiene Kits,DEFAULT,DEFAULT,DEFAULT,5 -Kitchen sets,DEFAULT,DEFAULT,DEFAULT,5 -mosquito nets,DEFAULT,DEFAULT,DEFAULT,2.5 -Personal Protection Equipment kit (PPE),DEFAULT,DEFAULT,DEFAULT,1 -Shelter tool kits,DEFAULT,DEFAULT,DEFAULT,5 -Solar Lights,DEFAULT,DEFAULT,DEFAULT,5 -Sleeping mats,DEFAULT,DEFAULT,DEFAULT,5 -Tarpaulins,DEFAULT,DEFAULT,DEFAULT,2.5 -Water Containers,DEFAULT,DEFAULT,DEFAULT,2.5 -Water Purification Tablets,DEFAULT,DEFAULT,DEFAULT,1 -Blankets,DEFAULT,-1,DEFAULT,0.6 -Buckets,DEFAULT,-1,DEFAULT,2.5 -Dignity Kits,DEFAULT,-1,DEFAULT,1 -Family Tents,DEFAULT,-1,DEFAULT,5 -Hygiene Kits,DEFAULT,-1,DEFAULT,5 -Kitchen sets,DEFAULT,-1,DEFAULT,5 -mosquito nets,DEFAULT,-1,DEFAULT,2.5 -Personal Protection Equipment kit (PPE),DEFAULT,-1,DEFAULT,1 -Shelter tool kits,DEFAULT,-1,DEFAULT,5 -Solar Lights,DEFAULT,-1,DEFAULT,5 -Sleeping mats,DEFAULT,-1,DEFAULT,5 -Tarpaulins,DEFAULT,-1,DEFAULT,2.5 -Water Containers,DEFAULT,-1,DEFAULT,2.5 -Water Purification Tablets,DEFAULT,-1,DEFAULT,1 diff --git a/optimization202/ESUPS_case_study/data/vanuatu/province_lookup.csv b/optimization202/ESUPS_case_study/data/vanuatu/province_lookup.csv deleted file mode 100644 index 24e7618..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu/province_lookup.csv +++ /dev/null @@ -1,7 +0,0 @@ -province,warehouse_id -Torba,Torba -Sanma,Sanma -Penama,Penama -Malampa,Malampa -Shefa,Shefa -Tafea,Tafea diff --git a/optimization202/ESUPS_case_study/data/vanuatu/transportModes.csv b/optimization202/ESUPS_case_study/data/vanuatu/transportModes.csv deleted file mode 100644 index 35c098e..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu/transportModes.csv +++ /dev/null @@ -1,3 +0,0 @@ -Mode,DistanceMethod,BigMCostElim,MaxDrivingTimeCutAboveHrs -Truck,google,1e9,100 -Air,crowScale,1e9,100 diff --git a/optimization202/ESUPS_case_study/data/vanuatu/transportParameters.csv b/optimization202/ESUPS_case_study/data/vanuatu/transportParameters.csv deleted file mode 100644 index 9bc70ca..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu/transportParameters.csv +++ /dev/null @@ -1,12 +0,0 @@ -Attribute,Mode,gglAddress,Number -FixedAddlTime_Hrs,Truck,DEFAULT,24 -FixedAddlTime_Hrs,Air,DEFAULT,100000000 -StretchTimeFactor,Truck,DEFAULT,1.1 -StretchTimeFactor,Air,DEFAULT,100000000 -SpeedKmPerHr,Air,DEFAULT,0.000001 -FixedAddlCost_USD,Truck,DEFAULT,600 -FixedAddlCost_USD,Air,DEFAULT,1.00E+08 -VarCost_USD_ton_km,Truck,DEFAULT,1.2 -VarCost_USD_ton_km,Air,DEFAULT,1.00E+08 -StretchDistanceFactor,Truck,DEFAULT,1 -StretchDistanceFactor,Air,DEFAULT,1 diff --git a/optimization202/ESUPS_case_study/data/vanuatu_simple/abilityToRespond.csv b/optimization202/ESUPS_case_study/data/vanuatu_simple/abilityToRespond.csv deleted file mode 100644 index 958db29..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu_simple/abilityToRespond.csv +++ /dev/null @@ -1,216 +0,0 @@ -gglCountry,item,capacityToRespond -Afghanistan,DEFAULT,10 -Albania,DEFAULT,10 -Algeria,DEFAULT,10 -American Samoa,DEFAULT,10 -Angola,DEFAULT,10 -Anguilla,DEFAULT,10 -Antigua and Barbuda,DEFAULT,10 -Argentina,DEFAULT,10 -Armenia,DEFAULT,10 -Australia,DEFAULT,2.00E+15 -Austria,DEFAULT,2.00E+15 -Azerbaijan,DEFAULT,10 -Bahrain,DEFAULT,10 -Bangladesh,DEFAULT,10 -Barbados,DEFAULT,10 -Belarus,DEFAULT,10 -Belgium,DEFAULT,2.00E+15 -Belize,DEFAULT,10 -Benin,DEFAULT,10 -Bermuda,DEFAULT,10 -Bhutan,DEFAULT,10 -Bolivia,DEFAULT,10 -Bosnia and Herzegovina,DEFAULT,10 -Botswana,DEFAULT,10 -Brazil,DEFAULT,10 -British Virgin Islands,DEFAULT,10 -Brunei,DEFAULT,10 -Bulgaria,DEFAULT,2.00E+15 -Burkina Faso,DEFAULT,10 -Burundi,DEFAULT,10 -Cambodia,DEFAULT,10 -Cameroon,DEFAULT,10 -Canada,DEFAULT,2.00E+15 -Cape Verde,DEFAULT,10 -Cayman Islands,DEFAULT,10 -Central African Republic,DEFAULT,10 -Chad,DEFAULT,10 -Chile,DEFAULT,10 -China,DEFAULT,10 -Colombia,DEFAULT,10 -Comoros,DEFAULT,10 -Congo,DEFAULT,10 -Cook Islands,DEFAULT,10 -Costa Rica,DEFAULT,10 -Cote d'Ivoire,DEFAULT,10 -Croatia,DEFAULT,2.00E+15 -Cuba,DEFAULT,10 -Curacao,DEFAULT,10 -Czech Republic,DEFAULT,2.00E+15 -Democratic Republic of the Congo,DEFAULT,10 -Denmark,DEFAULT,2.00E+15 -Djibouti,DEFAULT,10 -Dominica,DEFAULT,10 -Dominican Republic,DEFAULT,10 -Ecuador,DEFAULT,10 -Egypt,DEFAULT,10 -El Salvador,DEFAULT,10 -Equatorial Guinea,DEFAULT,10 -Eritrea,DEFAULT,10 -Estonia,DEFAULT,2.00E+15 -Ethiopia,DEFAULT,10 -Fiji,DEFAULT,10 -Finland,DEFAULT,2.00E+15 -France,DEFAULT,2.00E+15 -French Guiana,DEFAULT,10 -French Polynesia,DEFAULT,10 -Gabon,DEFAULT,10 -Georgia,DEFAULT,10 -Germany,DEFAULT,2.00E+15 -Ghana,DEFAULT,10 -Greece,DEFAULT,2.00E+15 -Grenada,DEFAULT,10 -Guadeloupe,DEFAULT,10 -Guam,DEFAULT,10 -Guatemala,DEFAULT,10 -Guinea,DEFAULT,10 -Guinea-Bissau,DEFAULT,10 -Guyana,DEFAULT,10 -Haiti,DEFAULT,10 -Honduras,DEFAULT,10 -Hong Kong,DEFAULT,10 -Hungary,DEFAULT,2.00E+15 -Iceland,DEFAULT,2.00E+15 -India,DEFAULT,10 -Indonesia,DEFAULT,10 -Iran,DEFAULT,10 -Iraq,DEFAULT,10 -Ireland,DEFAULT,2.00E+15 -Israel,DEFAULT,10 -Italy,DEFAULT,2.00E+15 -Jamaica,DEFAULT,10 -Japan,DEFAULT,10 -Jordan,DEFAULT,10 -Kazakhstan,DEFAULT,10 -Kenya,DEFAULT,10 -Kiribati,DEFAULT,10 -Kuwait,DEFAULT,10 -Kyrgyzstan,DEFAULT,10 -Laos,DEFAULT,10 -Latvia,DEFAULT,2.00E+15 -Lebanon,DEFAULT,10 -Lesotho,DEFAULT,10 -Liberia,DEFAULT,10 -Libya,DEFAULT,10 -Lithuania,DEFAULT,2.00E+15 -Luxembourg,DEFAULT,2.00E+15 -Macau,DEFAULT,10 -Macedonia (FYROM),DEFAULT,10 -Madagascar,DEFAULT,10 -Malawi,DEFAULT,10 -Malaysia,DEFAULT,10 -Maldives,DEFAULT,10 -Mali,DEFAULT,10 -Malta,DEFAULT,2.00E+15 -Marshall Islands,DEFAULT,10 -Martinique,DEFAULT,10 -Mauritania,DEFAULT,10 -Mauritius,DEFAULT,10 -Mayotte,DEFAULT,10 -Mexico,DEFAULT,10 -Micronesia,DEFAULT,10 -Moldova,DEFAULT,10 -Mongolia,DEFAULT,10 -Montenegro,DEFAULT,10 -Montserrat,DEFAULT,10 -Morocco,DEFAULT,10 -Mozambique,DEFAULT,10 -Namibia,DEFAULT,10 -Nepal,DEFAULT,10 -New Caledonia,DEFAULT,10 -New Zealand,DEFAULT,2.00E+15 -Nicaragua,DEFAULT,10 -Nicosia,DEFAULT,2.00E+15 -Niger,DEFAULT,10 -Nigeria,DEFAULT,10 -Niue,DEFAULT,10 -North Korea,DEFAULT,10 -Northern Mariana Islands,DEFAULT,10 -Norway,DEFAULT,2.00E+15 -Oman,DEFAULT,10 -Pakistan,DEFAULT,10 -Palau,DEFAULT,10 -Panama,DEFAULT,10 -Papua New Guinea,DEFAULT,10 -Paraguay,DEFAULT,10 -Peru,DEFAULT,10 -Philippines,DEFAULT,10 -Poland,DEFAULT,2.00E+15 -Portugal,DEFAULT,2.00E+15 -Puerto Rico,DEFAULT,10 -Qatar,DEFAULT,10 -Republic of the Union of Myanmar,DEFAULT,10 -Reunion,DEFAULT,10 -Romania,DEFAULT,2.00E+15 -Russia,DEFAULT,10 -Rwanda,DEFAULT,10 -Saint Helena,DEFAULT,10 -Saint Kitts and Nevis,DEFAULT,10 -Saint Lucia,DEFAULT,10 -Saint Vincent and the Grenadines,DEFAULT,10 -Samoa,DEFAULT,10 -Sao Tome and Principe,DEFAULT,10 -Saudi Arabia,DEFAULT,10 -Senegal,DEFAULT,10 -Serbia,DEFAULT,10 -Seychelles,DEFAULT,10 -Sierra Leone,DEFAULT,10 -Singapore,DEFAULT,10 -Slovakia,DEFAULT,2.00E+15 -Slovenia,DEFAULT,2.00E+15 -Solomon Islands,DEFAULT,10 -Somalia,DEFAULT,10 -South Africa,DEFAULT,10 -South Korea,DEFAULT,10 -South Sudan,DEFAULT,10 -Spain,DEFAULT,2.00E+15 -Sri Lanka,DEFAULT,10 -Sudan,DEFAULT,10 -Suriname,DEFAULT,10 -Swaziland,DEFAULT,10 -Sweden,DEFAULT,2.00E+15 -Switzerland,DEFAULT,2.00E+15 -Syria,DEFAULT,10 -Taiwan,DEFAULT,10 -Tajikistan,DEFAULT,10 -Tanzania,DEFAULT,10 -Thailand,DEFAULT,10 -The Bahamas,DEFAULT,10 -The Gambia,DEFAULT,10 -The Netherlands,DEFAULT,2.00E+15 -Timor-Leste,DEFAULT,10 -Togo,DEFAULT,10 -Tokelau,DEFAULT,10 -Tonga,DEFAULT,10 -Trinidad and Tobago,DEFAULT,10 -Tunisia,DEFAULT,10 -Turkey,DEFAULT,10 -Turkmenistan,DEFAULT,10 -Turks and Caicos Islands,DEFAULT,10 -Tuvalu,DEFAULT,10 -U.S. Virgin Islands,DEFAULT,10 -Uganda,DEFAULT,10 -Ukraine,DEFAULT,10 -United Arab Emirates,DEFAULT,10 -United Kingdom,DEFAULT,2.00E+15 -United States,DEFAULT,2.00E+15 -Uruguay,DEFAULT,10 -Uzbekistan,DEFAULT,10 -Vanuatu,DEFAULT,10 -Venezuela,DEFAULT,10 -Vietnam,DEFAULT,10 -Wallis and Futuna,DEFAULT,10 -Yemen,DEFAULT,10 -Zambia,DEFAULT,10 -Zimbabwe,DEFAULT,10 diff --git a/optimization202/ESUPS_case_study/data/vanuatu_simple/countryContinents.csv b/optimization202/ESUPS_case_study/data/vanuatu_simple/countryContinents.csv deleted file mode 100644 index 43921a4..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu_simple/countryContinents.csv +++ /dev/null @@ -1,216 +0,0 @@ -gglCountry,Continent -Central African Republic,Africa -Sao Tome and Principe,Africa -Cote d'Ivoire,Africa -Libya,Africa -Democratic Republic of the Congo,Africa -The Gambia,Africa -Guinea-Bissau,Africa -Cape Verde,Africa -Reunion,Africa -Saint Helena,Africa -Mayotte,Africa -Tanzania,Africa -South Sudan,Africa -Congo,Africa -Algeria,Africa -Angola,Africa -Benin,Africa -Botswana,Africa -Burkina Faso,Africa -Burundi,Africa -Cameroon,Africa -Chad,Africa -Comoros,Africa -Djibouti,Africa -Egypt,Africa -Equatorial Guinea,Africa -Eritrea,Africa -Ethiopia,Africa -Gabon,Africa -Ghana,Africa -Guinea,Africa -Kenya,Africa -Lesotho,Africa -Liberia,Africa -Madagascar,Africa -Malawi,Africa -Mali,Africa -Mauritania,Africa -Mauritius,Africa -Morocco,Africa -Mozambique,Africa -Namibia,Africa -Niger,Africa -Nigeria,Africa -Rwanda,Africa -Senegal,Africa -Seychelles,Africa -Sierra Leone,Africa -Somalia,Africa -South Africa,Africa -Sudan,Africa -Swaziland,Africa -Togo,Africa -Tunisia,Africa -Uganda,Africa -Zambia,Africa -Zimbabwe,Africa -Taiwan,Asia -Macau,Asia -North Korea,Asia -Vietnam,Asia -Timor-Leste,Asia -Syria,Asia -Brunei,Asia -Iran,Asia -South Korea,Asia -Israel,Asia -Yemen,Asia -Hong Kong,Asia -Laos,Asia -China,Asia -Russia,Asia -Afghanistan,Asia -Bahrain,Asia -Bangladesh,Asia -Bhutan,Asia -Cambodia,Asia -India,Asia -Indonesia,Asia -Iraq,Asia -Japan,Asia -Jordan,Asia -Kazakhstan,Asia -Kuwait,Asia -Kyrgyzstan,Asia -Lebanon,Asia -Malaysia,Asia -Maldives,Asia -Mongolia,Asia -Republic of the Union of Myanmar,Asia -Nepal,Asia -Oman,Asia -Pakistan,Asia -Philippines,Asia -Qatar,Asia -Saudi Arabia,Asia -Singapore,Asia -Sri Lanka,Asia -Tajikistan,Asia -Thailand,Asia -Turkey,Asia -Turkmenistan,Asia -United Arab Emirates,Asia -Uzbekistan,Asia -Germany,Europe -Portugal,Europe -Czech Republic,Europe -Moldova,Europe -Macedonia (FYROM),Europe -Bosnia and Herzegovina,Europe -Spain,Europe -United Kingdom,Europe -Serbia,Europe -Albania,Europe -Armenia,Europe -Austria,Europe -Azerbaijan,Europe -Belarus,Europe -Belgium,Europe -Bulgaria,Europe -Croatia,Europe -Nicosia,Europe -Denmark,Europe -Estonia,Europe -Finland,Europe -France,Europe -Georgia,Europe -Greece,Europe -Hungary,Europe -Iceland,Europe -Ireland,Europe -Italy,Europe -Latvia,Europe -Lithuania,Europe -Luxembourg,Europe -Malta,Europe -Montenegro,Europe -The Netherlands,Europe -Norway,Europe -Poland,Europe -Romania,Europe -Slovakia,Europe -Slovenia,Europe -Sweden,Europe -Switzerland,Europe -Ukraine,Europe -Saint Vincent and the Grenadines,NorthAmerica -British Virgin Islands,NorthAmerica -Dominican Republic,NorthAmerica -U.S. Virgin Islands,NorthAmerica -Curacao,NorthAmerica -Turks and Caicos Islands,NorthAmerica -Saint Kitts and Nevis,NorthAmerica -Martinique,NorthAmerica -Saint Lucia,NorthAmerica -Guadeloupe,NorthAmerica -Anguilla,NorthAmerica -Antigua and Barbuda,NorthAmerica -The Bahamas,NorthAmerica -Barbados,NorthAmerica -Belize,NorthAmerica -Bermuda,NorthAmerica -Canada,NorthAmerica -Cayman Islands,NorthAmerica -Costa Rica,NorthAmerica -Cuba,NorthAmerica -Dominica,NorthAmerica -El Salvador,NorthAmerica -Grenada,NorthAmerica -Guatemala,NorthAmerica -Haiti,NorthAmerica -Honduras,NorthAmerica -Jamaica,NorthAmerica -Mexico,NorthAmerica -Montserrat,NorthAmerica -Nicaragua,NorthAmerica -Panama,NorthAmerica -Puerto Rico,NorthAmerica -Trinidad and Tobago,NorthAmerica -United States,NorthAmerica -Wallis and Futuna,Oceania -Marshall Islands,Oceania -Cook Islands,Oceania -Northern Mariana Islands,Oceania -Tokelau,Oceania -Solomon Islands,Oceania -Micronesia,Oceania -American Samoa,Oceania -Australia,Oceania -Fiji,Oceania -French Polynesia,Oceania -Guam,Oceania -Kiribati,Oceania -New Caledonia,Oceania -New Zealand,Oceania -Niue,Oceania -Palau,Oceania -Papua New Guinea,Oceania -Samoa,Oceania -Tonga,Oceania -Tuvalu,Oceania -Vanuatu,Oceania -Argentina,SouthAmerica -Bolivia,SouthAmerica -Brazil,SouthAmerica -Chile,SouthAmerica -Colombia,SouthAmerica -Ecuador,SouthAmerica -French Guiana,SouthAmerica -Guyana,SouthAmerica -Paraguay,SouthAmerica -Peru,SouthAmerica -Suriname,SouthAmerica -Uruguay,SouthAmerica -Venezuela,SouthAmerica diff --git a/optimization202/ESUPS_case_study/data/vanuatu_simple/depotCoordinates.csv b/optimization202/ESUPS_case_study/data/vanuatu_simple/depotCoordinates.csv deleted file mode 100644 index bf93432..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu_simple/depotCoordinates.csv +++ /dev/null @@ -1,7 +0,0 @@ -depotCity,gglLat,gglLong,gglCountryAscii,gglAddressAscii -Torba,-13.873643999999956,167.5495830000001,Vanuatu,"Torba, Vanuatu" -Sanma,-15.513757933999957,167.1799922040001,Vanuatu,"Sanma, Vanuatu" -Penama,-15.548909039999955,168.1484143,Vanuatu,"Penama, Vanuatu" -Malampa,-16.10622799099997,167.41678100600006,Vanuatu,"Malampa, Vanuatu" -Shefa,-17.73763299799998,168.3157348850001,Vanuatu,"Shefa, Vanuatu" -Tafea,-19.54447261799993,169.2801722150001,Vanuatu,"Tafea, Vanuatu" diff --git a/optimization202/ESUPS_case_study/data/vanuatu_simple/depotMapping.csv b/optimization202/ESUPS_case_study/data/vanuatu_simple/depotMapping.csv deleted file mode 100644 index 63bcef6..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu_simple/depotMapping.csv +++ /dev/null @@ -1,7 +0,0 @@ -gglAddressAsciiMapFrom,gglAddressAsciiMapTo -"Torba, Vanuatu","Torba, Vanuatu" -"Sanma, Vanuatu","Sanma, Vanuatu" -"Penama, Vanuatu","Penama, Vanuatu" -"Malampa, Vanuatu","Malampa, Vanuatu" -"Shefa, Vanuatu","Shefa, Vanuatu" -"Tafea, Vanuatu","Tafea, Vanuatu" diff --git a/optimization202/ESUPS_case_study/data/vanuatu_simple/depotSelection.csv b/optimization202/ESUPS_case_study/data/vanuatu_simple/depotSelection.csv deleted file mode 100644 index 7cb5bda..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu_simple/depotSelection.csv +++ /dev/null @@ -1,7 +0,0 @@ -gglAddressAscii,gglCountry,include -"Torba, Vanuatu",Vanuatu,1 -"Sanma, Vanuatu",Vanuatu,1 -"Penama, Vanuatu",Vanuatu,1 -"Malampa, Vanuatu",Vanuatu,1 -"Shefa, Vanuatu",Vanuatu,1 -"Tafea, Vanuatu",Vanuatu,1 diff --git a/optimization202/ESUPS_case_study/data/vanuatu_simple/disasterCoordinates.csv b/optimization202/ESUPS_case_study/data/vanuatu_simple/disasterCoordinates.csv deleted file mode 100644 index cad4a3f..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu_simple/disasterCoordinates.csv +++ /dev/null @@ -1,7 +0,0 @@ -emdatCity,gglLat,gglLong,gglCountryAscii,gglAddressAscii -Torba,-13.873643999999956,167.5495830000001,Vanuatu,"Torba, Vanuatu" -Sanma,-15.513757933999957,167.1799922040001,Vanuatu,"Sanma, Vanuatu" -Penama,-15.548909039999955,168.1484143,Vanuatu,"Penama, Vanuatu" -Malampa,-16.10622799099997,167.41678100600006,Vanuatu,"Malampa, Vanuatu" -Shefa,-17.73763299799998,168.3157348850001,Vanuatu,"Shefa, Vanuatu" -Tafea,-19.54447261799993,169.2801722150001,Vanuatu,"Tafea, Vanuatu" diff --git a/optimization202/ESUPS_case_study/data/vanuatu_simple/disasterTypeSelection.csv b/optimization202/ESUPS_case_study/data/vanuatu_simple/disasterTypeSelection.csv deleted file mode 100644 index b1e235a..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu_simple/disasterTypeSelection.csv +++ /dev/null @@ -1,22 +0,0 @@ -disasterType,include -Complex Disasters, -Drought, -Earthquake (seismic activity),1 -Earthquake,1 -Epidemic,1 -Extreme temperature, -Flood,1 -Industrial Accident, -Insect Infestation, -Insect infestation, -Landslide,1 -Mass movement dry,1 -Mass Movement Dry,1 -Mass Movement Wet,1 -Mass movement wet,1 -Miscellaneous accident, -Storm,1 -Transport accident, -Transport Accident, -Volcano,1 -Wildfire,1 diff --git a/optimization202/ESUPS_case_study/data/vanuatu_simple/disasters.csv b/optimization202/ESUPS_case_study/data/vanuatu_simple/disasters.csv deleted file mode 100644 index 8061f64..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu_simple/disasters.csv +++ /dev/null @@ -1,64 +0,0 @@ -Day,Month,Year,origDistrict,Type,DisasterID,TotAffected,gglCountry,gglAddress -16.0,1.0,1985,Penama,Storm,1985-0020-VUT,28870.0,Vanuatu,"Penama, Vanuatu" -16.0,1.0,1985,Sanma,Storm,1985-0020-VUT,42148.0,Vanuatu,"Sanma, Vanuatu" -7.0,2.0,1987,Shefa,Storm,1987-0057-VUT,33969.0,Vanuatu,"Shefa, Vanuatu" -7.0,2.0,1987,Tafea,Storm,1987-0057-VUT,14031.0,Vanuatu,"Tafea, Vanuatu" -11.0,1.0,1988,Sanma,Storm,1988-0040-VUT,3903.0,Vanuatu,"Sanma, Vanuatu" -11.0,1.0,1988,Torba,Storm,1988-0040-VUT,797.0,Vanuatu,"Torba, Vanuatu" -,8.0,1988,Malampa,Storm,1988-0676-VUT,636.0,Vanuatu,"Malampa, Vanuatu" -,8.0,1988,Shefa,Storm,1988-0676-VUT,1364.0,Vanuatu,"Shefa, Vanuatu" -9.0,3.0,1992,Shefa,Storm,1992-0050-VUT,1150.0,Vanuatu,"Shefa, Vanuatu" -30.0,3.0,1993,Shefa,Storm,1993-0024-VUT,12005.0,Vanuatu,"Shefa, Vanuatu" -21.0,3.0,1998,Sanma,Storm,1998-0090-VUT,1254.0,Vanuatu,"Sanma, Vanuatu" -21.0,3.0,1998,Tafea,Storm,1998-0090-VUT,890.0,Vanuatu,"Tafea, Vanuatu" -21.0,3.0,1998,Torba,Storm,1998-0090-VUT,256.0,Vanuatu,"Torba, Vanuatu" -27.0,11.0,1999,Malampa,Earthquake,1999-0524-VUT,3526.0,Vanuatu,"Malampa, Vanuatu" -27.0,11.0,1999,Penama,Earthquake,1999-0524-VUT,3016.0,Vanuatu,"Penama, Vanuatu" -27.0,11.0,1999,Shefa,Earthquake,1999-0524-VUT,7558.0,Vanuatu,"Shefa, Vanuatu" -7.0,4.0,2001,Malampa,Storm,2001-0143-VUT,130.0,Vanuatu,"Malampa, Vanuatu" -7.0,4.0,2001,Penama,Storm,2001-0143-VUT,112.0,Vanuatu,"Penama, Vanuatu" -7.0,4.0,2001,Sanma,Storm,2001-0143-VUT,163.0,Vanuatu,"Sanma, Vanuatu" -7.0,4.0,2001,Shefa,Storm,2001-0143-VUT,280.0,Vanuatu,"Shefa, Vanuatu" -7.0,4.0,2001,Tafea,Storm,2001-0143-VUT,115.0,Vanuatu,"Tafea, Vanuatu" -8.0,6.0,2001,Malampa,Volcanic activity,2001-0254-VUT,1627.0,Vanuatu,"Malampa, Vanuatu" -3.0,1.0,2002,Shefa,Earthquake,2002-0002-VUT,500.0,Vanuatu,"Shefa, Vanuatu" -27.0,11.0,2002,Torba,Earthquake,2002-0770-VUT,503.0,Vanuatu,"Torba, Vanuatu" -21.0,12.0,2002,Tafea,Flood,2002-0829-VUT,3001.0,Vanuatu,"Tafea, Vanuatu" -25.0,2.0,2004,Malampa,Storm,2004-0080-VUT,11057.0,Vanuatu,"Malampa, Vanuatu" -25.0,2.0,2004,Penama,Storm,2004-0080-VUT,9458.0,Vanuatu,"Penama, Vanuatu" -25.0,2.0,2004,Shefa,Storm,2004-0080-VUT,23703.0,Vanuatu,"Shefa, Vanuatu" -25.0,2.0,2004,Tafea,Storm,2004-0080-VUT,9791.0,Vanuatu,"Tafea, Vanuatu" -27.0,11.0,2005,Penama,Volcanic activity,2005-0664-VUT,5000.0,Vanuatu,"Penama, Vanuatu" -9.0,5.0,2006,Malampa,Volcanic activity,2006-0281-VUT,1572.0,Vanuatu,"Malampa, Vanuatu" -,12.0,2008,Malampa,Volcanic activity,2008-0659-VUT,7275.0,Vanuatu,"Malampa, Vanuatu" -15.0,4.0,2009,Malampa,Flood,2009-0171-VUT,950.0,Vanuatu,"Malampa, Vanuatu" -26.0,11.0,2009,Torba,Volcanic activity,2009-0553-VUT,400.0,Vanuatu,"Torba, Vanuatu" -12.0,1.0,2011,Tafea,Storm,2011-0071-VUT,32000.0,Vanuatu,"Tafea, Vanuatu" -9.0,3.0,2014,Malampa,Storm,2014-0096-VUT,3636.0,Vanuatu,"Malampa, Vanuatu" -9.0,3.0,2014,Penama,Storm,2014-0096-VUT,3110.0,Vanuatu,"Penama, Vanuatu" -9.0,3.0,2014,Sanma,Storm,2014-0096-VUT,4540.0,Vanuatu,"Sanma, Vanuatu" -9.0,3.0,2014,Shefa,Storm,2014-0096-VUT,7794.0,Vanuatu,"Shefa, Vanuatu" -9.0,3.0,2014,Torba,Storm,2014-0096-VUT,927.0,Vanuatu,"Torba, Vanuatu" -12.0,3.0,2015,Malampa,Storm,2015-0093-VUT,29428.0,Vanuatu,"Malampa, Vanuatu" -12.0,3.0,2015,Penama,Storm,2015-0093-VUT,25173.0,Vanuatu,"Penama, Vanuatu" -12.0,3.0,2015,Sanma,Storm,2015-0093-VUT,36751.0,Vanuatu,"Sanma, Vanuatu" -12.0,3.0,2015,Shefa,Storm,2015-0093-VUT,63087.0,Vanuatu,"Shefa, Vanuatu" -12.0,3.0,2015,Tafea,Storm,2015-0093-VUT,26059.0,Vanuatu,"Tafea, Vanuatu" -12.0,3.0,2015,Torba,Storm,2015-0093-VUT,7500.0,Vanuatu,"Torba, Vanuatu" -30.0,11.0,2016,Malampa,Epidemic,2016-0528-VUT,63.0,Vanuatu,"Malampa, Vanuatu" -30.0,11.0,2016,Sanma,Epidemic,2016-0528-VUT,79.0,Vanuatu,"Sanma, Vanuatu" -30.0,11.0,2016,Shefa,Epidemic,2016-0528-VUT,136.0,Vanuatu,"Shefa, Vanuatu" -30.0,11.0,2016,Tafea,Epidemic,2016-0528-VUT,56.0,Vanuatu,"Tafea, Vanuatu" -30.0,11.0,2016,Torba,Epidemic,2016-0528-VUT,16.0,Vanuatu,"Torba, Vanuatu" -7.0,5.0,2017,Malampa,Storm,2017-0231-VUT,1024.0,Vanuatu,"Malampa, Vanuatu" -7.0,5.0,2017,Sanma,Storm,2017-0231-VUT,1279.0,Vanuatu,"Sanma, Vanuatu" -7.0,5.0,2017,Torba,Storm,2017-0231-VUT,261.0,Vanuatu,"Torba, Vanuatu" -23.0,9.0,2017,Penama,Volcanic activity,2017-0394-VUT,11000.0,Vanuatu,"Penama, Vanuatu" -,3.0,2018,Penama,Volcanic activity,2018-0147-VUT,6300.0,Vanuatu,"Penama, Vanuatu" -15.0,12.0,2018,Malampa,Volcanic activity,2018-0456-VUT,7286.0,Vanuatu,"Malampa, Vanuatu" -6.0,4.0,2020,Malampa,Storm,2020-0132-VUT,23646.0,Vanuatu,"Malampa, Vanuatu" -6.0,4.0,2020,Penama,Storm,2020-0132-VUT,20227.0,Vanuatu,"Penama, Vanuatu" -6.0,4.0,2020,Sanma,Storm,2020-0132-VUT,29530.0,Vanuatu,"Sanma, Vanuatu" -6.0,4.0,2020,Shefa,Storm,2020-0132-VUT,50691.0,Vanuatu,"Shefa, Vanuatu" -6.0,4.0,2020,Torba,Storm,2020-0132-VUT,6026.0,Vanuatu,"Torba, Vanuatu" -21.0,10.0,2021,Tafea,Volcanic activity,2021-0847-VUT,3586.0,Vanuatu,"Tafea, Vanuatu" diff --git a/optimization202/ESUPS_case_study/data/vanuatu_simple/distanceMatrix.csv b/optimization202/ESUPS_case_study/data/vanuatu_simple/distanceMatrix.csv deleted file mode 100644 index df72334..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu_simple/distanceMatrix.csv +++ /dev/null @@ -1,37 +0,0 @@ -emdatCity,depotCity,distance_km,drivingTime_hrs,depotCountry,emdatCountry,gglCountryAscii_depot,gglCountryAscii_disaster,depotGglAddressAscii,disasterGglAddressAscii,depotGglLat,depotGglLong,disasterGglLat,disasterGglLong -Torba,Torba,0.0,0.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Torba, Vanuatu","Torba, Vanuatu",-13.873643999999956,167.5495830000001,-13.873643999999956,167.5495830000001 -Torba,Sanma,184.0,12.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Sanma, Vanuatu","Torba, Vanuatu",-15.513757933999955,167.1799922040001,-13.873643999999956,167.5495830000001 -Torba,Penama,195.0,12.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Penama, Vanuatu","Torba, Vanuatu",-15.548909039999955,168.1484143,-13.873643999999956,167.5495830000001 -Torba,Malampa,241.0,16.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Malampa, Vanuatu","Torba, Vanuatu",-16.10622799099997,167.41678100600006,-13.873643999999956,167.5495830000001 -Torba,Shefa,430.0,26.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Shefa, Vanuatu","Torba, Vanuatu",-17.73763299799998,168.3157348850001,-13.873643999999956,167.5495830000001 -Torba,Tafea,657.0,36.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Tafea, Vanuatu","Torba, Vanuatu",-19.54447261799993,169.2801722150001,-13.873643999999956,167.5495830000001 -Sanma,Torba,184.0,12.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Torba, Vanuatu","Sanma, Vanuatu",-13.873643999999956,167.5495830000001,-15.513757933999955,167.1799922040001 -Sanma,Sanma,0.0,0.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Sanma, Vanuatu","Sanma, Vanuatu",-15.513757933999955,167.1799922040001,-15.513757933999955,167.1799922040001 -Sanma,Penama,103.0,9.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Penama, Vanuatu","Sanma, Vanuatu",-15.548909039999955,168.1484143,-15.513757933999955,167.1799922040001 -Sanma,Malampa,68.0,4.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Malampa, Vanuatu","Sanma, Vanuatu",-16.10622799099997,167.41678100600006,-15.513757933999955,167.1799922040001 -Sanma,Shefa,274.0,16.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Shefa, Vanuatu","Sanma, Vanuatu",-17.73763299799998,168.3157348850001,-15.513757933999955,167.1799922040001 -Sanma,Tafea,499.0,28.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Tafea, Vanuatu","Sanma, Vanuatu",-19.54447261799993,169.2801722150001,-15.513757933999955,167.1799922040001 -Penama,Torba,195.0,12.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Torba, Vanuatu","Penama, Vanuatu",-13.873643999999956,167.5495830000001,-15.548909039999955,168.1484143 -Penama,Sanma,103.0,9.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Sanma, Vanuatu","Penama, Vanuatu",-15.513757933999955,167.1799922040001,-15.548909039999955,168.1484143 -Penama,Penama,0.0,0.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Penama, Vanuatu","Penama, Vanuatu",-15.548909039999955,168.1484143,-15.548909039999955,168.1484143 -Penama,Malampa,97.0,6.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Malampa, Vanuatu","Penama, Vanuatu",-16.10622799099997,167.41678100600006,-15.548909039999955,168.1484143 -Penama,Shefa,244.0,14.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Shefa, Vanuatu","Penama, Vanuatu",-17.73763299799998,168.3157348850001,-15.548909039999955,168.1484143 -Penama,Tafea,461.0,26.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Tafea, Vanuatu","Penama, Vanuatu",-19.54447261799993,169.2801722150001,-15.548909039999955,168.1484143 -Malampa,Torba,241.0,16.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Torba, Vanuatu","Malampa, Vanuatu",-13.873643999999956,167.5495830000001,-16.10622799099997,167.41678100600006 -Malampa,Sanma,68.0,4.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Sanma, Vanuatu","Malampa, Vanuatu",-15.513757933999955,167.1799922040001,-16.10622799099997,167.41678100600006 -Malampa,Penama,97.0,6.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Penama, Vanuatu","Malampa, Vanuatu",-15.548909039999955,168.1484143,-16.10622799099997,167.41678100600006 -Malampa,Malampa,0.0,0.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Malampa, Vanuatu","Malampa, Vanuatu",-16.10622799099997,167.41678100600006,-16.10622799099997,167.41678100600006 -Malampa,Shefa,205.0,12.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Shefa, Vanuatu","Malampa, Vanuatu",-17.73763299799998,168.3157348850001,-16.10622799099997,167.41678100600006 -Malampa,Tafea,431.0,24.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Tafea, Vanuatu","Malampa, Vanuatu",-19.54447261799993,169.2801722150001,-16.10622799099997,167.41678100600006 -Shefa,Torba,430.0,26.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Torba, Vanuatu","Shefa, Vanuatu",-13.873643999999956,167.5495830000001,-17.73763299799998,168.3157348850001 -Shefa,Sanma,274.0,16.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Sanma, Vanuatu","Shefa, Vanuatu",-15.513757933999955,167.1799922040001,-17.73763299799998,168.3157348850001 -Shefa,Penama,244.0,14.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Penama, Vanuatu","Shefa, Vanuatu",-15.548909039999955,168.1484143,-17.73763299799998,168.3157348850001 -Shefa,Malampa,205.0,12.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Malampa, Vanuatu","Shefa, Vanuatu",-16.10622799099997,167.41678100600006,-17.73763299799998,168.3157348850001 -Shefa,Shefa,0.0,0.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Shefa, Vanuatu","Shefa, Vanuatu",-17.73763299799998,168.3157348850001,-17.73763299799998,168.3157348850001 -Shefa,Tafea,227.0,12.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Tafea, Vanuatu","Shefa, Vanuatu",-19.54447261799993,169.2801722150001,-17.73763299799998,168.3157348850001 -Tafea,Torba,657.0,36.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Torba, Vanuatu","Tafea, Vanuatu",-13.873643999999956,167.5495830000001,-19.54447261799993,169.2801722150001 -Tafea,Sanma,499.0,28.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Sanma, Vanuatu","Tafea, Vanuatu",-15.513757933999955,167.1799922040001,-19.54447261799993,169.2801722150001 -Tafea,Penama,461.0,26.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Penama, Vanuatu","Tafea, Vanuatu",-15.548909039999955,168.1484143,-19.54447261799993,169.2801722150001 -Tafea,Malampa,431.0,24.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Malampa, Vanuatu","Tafea, Vanuatu",-16.10622799099997,167.41678100600006,-19.54447261799993,169.2801722150001 -Tafea,Shefa,227.0,12.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Shefa, Vanuatu","Tafea, Vanuatu",-17.73763299799998,168.3157348850001,-19.54447261799993,169.2801722150001 -Tafea,Tafea,0.0,0.0,Vanuatu,Vanuatu,Vanuatu,Vanuatu,"Tafea, Vanuatu","Tafea, Vanuatu",-19.54447261799993,169.2801722150001,-19.54447261799993,169.2801722150001 diff --git a/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual.csv b/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual.csv deleted file mode 100644 index 8f01e33..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual.csv +++ /dev/null @@ -1,7 +0,0 @@ -ItemName,Wharehouse(Region),gglAddress,Country,Total -Blankets,Oceania,"Malampa, Vanuatu",Vanuatu,260 -Blankets,Oceania,"Penama, Vanuatu",Vanuatu,160 -Blankets,Oceania,"Sanma, Vanuatu",Vanuatu,954 -Blankets,Oceania,"Shefa, Vanuatu",Vanuatu,2808 -Blankets,Oceania,"Tafea, Vanuatu",Vanuatu,243 -Blankets,Oceania,"Torba, Vanuatu",Vanuatu,319 diff --git a/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual_50pct.csv b/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual_50pct.csv deleted file mode 100644 index 933a166..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual_50pct.csv +++ /dev/null @@ -1,3 +0,0 @@ -ItemName,Wharehouse(Region),gglAddress,Country,Total -Blankets,Oceania,"Shefa, Vanuatu",Vanuatu,6417 -Buckets,Oceania,"Shefa, Vanuatu",Vanuatu,1540 diff --git a/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual_55pct.csv b/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual_55pct.csv deleted file mode 100644 index 59eb849..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual_55pct.csv +++ /dev/null @@ -1,3 +0,0 @@ -ItemName,Wharehouse(Region),gglAddress,Country,Total -Blankets,Oceania,"Shefa, Vanuatu",Vanuatu,14530 -Buckets,Oceania,"Shefa, Vanuatu",Vanuatu,3487 diff --git a/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual_60pct.csv b/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual_60pct.csv deleted file mode 100644 index a238f51..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual_60pct.csv +++ /dev/null @@ -1,3 +0,0 @@ -ItemName,Wharehouse(Region),gglAddress,Country,Total -Blankets,Oceania,"Shefa, Vanuatu",Vanuatu,22103 -Buckets,Oceania,"Shefa, Vanuatu",Vanuatu,5305 diff --git a/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual_65pct.csv b/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual_65pct.csv deleted file mode 100644 index 5ce1085..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual_65pct.csv +++ /dev/null @@ -1,3 +0,0 @@ -ItemName,Wharehouse(Region),gglAddress,Country,Total -Blankets,Oceania,"Shefa, Vanuatu",Vanuatu,29900 -Buckets,Oceania,"Shefa, Vanuatu",Vanuatu,7176 diff --git a/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual_70pct.csv b/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual_70pct.csv deleted file mode 100644 index c7c822a..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual_70pct.csv +++ /dev/null @@ -1,3 +0,0 @@ -ItemName,Wharehouse(Region),gglAddress,Country,Total -Blankets,Oceania,"Shefa, Vanuatu",Vanuatu,47337 -Buckets,Oceania,"Shefa, Vanuatu",Vanuatu,11361 diff --git a/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual_75pct.csv b/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual_75pct.csv deleted file mode 100644 index e39712b..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual_75pct.csv +++ /dev/null @@ -1,3 +0,0 @@ -ItemName,Wharehouse(Region),gglAddress,Country,Total -Blankets,Oceania,"Shefa, Vanuatu",Vanuatu,73333 -Buckets,Oceania,"Shefa, Vanuatu",Vanuatu,17600 diff --git a/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual_80pct.csv b/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual_80pct.csv deleted file mode 100644 index 23906a7..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual_80pct.csv +++ /dev/null @@ -1,3 +0,0 @@ -ItemName,Wharehouse(Region),gglAddress,Country,Total -Blankets,Oceania,"Shefa, Vanuatu",Vanuatu,88012 -Buckets,Oceania,"Shefa, Vanuatu",Vanuatu,21123 diff --git a/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual_85pct.csv b/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual_85pct.csv deleted file mode 100644 index 71e7643..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual_85pct.csv +++ /dev/null @@ -1,3 +0,0 @@ -ItemName,Wharehouse(Region),gglAddress,Country,Total -Blankets,Oceania,"Shefa, Vanuatu",Vanuatu,114112 -Buckets,Oceania,"Shefa, Vanuatu",Vanuatu,27387 diff --git a/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual_90pct.csv b/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual_90pct.csv deleted file mode 100644 index a5bb6ff..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual_90pct.csv +++ /dev/null @@ -1,3 +0,0 @@ -ItemName,Wharehouse(Region),gglAddress,Country,Total -Blankets,Oceania,"Shefa, Vanuatu",Vanuatu,207017 -Buckets,Oceania,"Shefa, Vanuatu",Vanuatu,49684 diff --git a/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual_95pct.csv b/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual_95pct.csv deleted file mode 100644 index b4b7e64..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/actual_95pct.csv +++ /dev/null @@ -1,3 +0,0 @@ -ItemName,Wharehouse(Region),gglAddress,Country,Total -Blankets,Oceania,"Shefa, Vanuatu",Vanuatu,308507 -Buckets,Oceania,"Shefa, Vanuatu",Vanuatu,74042 diff --git a/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/rm_data.py b/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/rm_data.py deleted file mode 100644 index db5fb01..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu_simple/inventory/rm_data.py +++ /dev/null @@ -1,13 +0,0 @@ -import pandas as pd - -df=pd.read_csv('actual.csv') -print(df) - -# Drop rows where ItemName is not 'Blankets' or 'Bucket' -df_filtered = df[df['ItemName'].isin(['Blankets', 'Bucket'])] - -# Display filtered DataFrame -print("\nFiltered DataFrame:") -print(df_filtered) - -df_filtered.to_csv('actual.csv', index=False) \ No newline at end of file diff --git a/optimization202/ESUPS_case_study/data/vanuatu_simple/items.csv b/optimization202/ESUPS_case_study/data/vanuatu_simple/items.csv deleted file mode 100644 index b6a1a2f..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu_simple/items.csv +++ /dev/null @@ -1,3 +0,0 @@ -ItemName,WeightMetricTon,CubicMeters -Blankets,0.0015,0.01 -Buckets,0.00091,0.00617 diff --git a/optimization202/ESUPS_case_study/data/vanuatu_simple/personsPerItem.csv b/optimization202/ESUPS_case_study/data/vanuatu_simple/personsPerItem.csv deleted file mode 100644 index 7599498..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu_simple/personsPerItem.csv +++ /dev/null @@ -1,29 +0,0 @@ -Item,Disaster Type,Month,gglCountry,PersonsPerItem -Blankets,DEFAULT,DEFAULT,DEFAULT,0.6 -Buckets,DEFAULT,DEFAULT,DEFAULT,2.5 -Dignity Kits,DEFAULT,DEFAULT,DEFAULT,1 -Family Tents,DEFAULT,DEFAULT,DEFAULT,5 -Hygiene Kits,DEFAULT,DEFAULT,DEFAULT,5 -Kitchen sets,DEFAULT,DEFAULT,DEFAULT,5 -mosquito nets,DEFAULT,DEFAULT,DEFAULT,2.5 -Personal Protection Equipment kit (PPE),DEFAULT,DEFAULT,DEFAULT,1 -Shelter tool kits,DEFAULT,DEFAULT,DEFAULT,5 -Solar Lights,DEFAULT,DEFAULT,DEFAULT,5 -Sleeping mats,DEFAULT,DEFAULT,DEFAULT,5 -Tarpaulins,DEFAULT,DEFAULT,DEFAULT,2.5 -Water Containers,DEFAULT,DEFAULT,DEFAULT,2.5 -Water Purification Tablets,DEFAULT,DEFAULT,DEFAULT,1 -Blankets,DEFAULT,-1,DEFAULT,0.6 -Buckets,DEFAULT,-1,DEFAULT,2.5 -Dignity Kits,DEFAULT,-1,DEFAULT,1 -Family Tents,DEFAULT,-1,DEFAULT,5 -Hygiene Kits,DEFAULT,-1,DEFAULT,5 -Kitchen sets,DEFAULT,-1,DEFAULT,5 -mosquito nets,DEFAULT,-1,DEFAULT,2.5 -Personal Protection Equipment kit (PPE),DEFAULT,-1,DEFAULT,1 -Shelter tool kits,DEFAULT,-1,DEFAULT,5 -Solar Lights,DEFAULT,-1,DEFAULT,5 -Sleeping mats,DEFAULT,-1,DEFAULT,5 -Tarpaulins,DEFAULT,-1,DEFAULT,2.5 -Water Containers,DEFAULT,-1,DEFAULT,2.5 -Water Purification Tablets,DEFAULT,-1,DEFAULT,1 diff --git a/optimization202/ESUPS_case_study/data/vanuatu_simple/province_lookup.csv b/optimization202/ESUPS_case_study/data/vanuatu_simple/province_lookup.csv deleted file mode 100644 index 24e7618..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu_simple/province_lookup.csv +++ /dev/null @@ -1,7 +0,0 @@ -province,warehouse_id -Torba,Torba -Sanma,Sanma -Penama,Penama -Malampa,Malampa -Shefa,Shefa -Tafea,Tafea diff --git a/optimization202/ESUPS_case_study/data/vanuatu_simple/transportModes.csv b/optimization202/ESUPS_case_study/data/vanuatu_simple/transportModes.csv deleted file mode 100644 index 35c098e..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu_simple/transportModes.csv +++ /dev/null @@ -1,3 +0,0 @@ -Mode,DistanceMethod,BigMCostElim,MaxDrivingTimeCutAboveHrs -Truck,google,1e9,100 -Air,crowScale,1e9,100 diff --git a/optimization202/ESUPS_case_study/data/vanuatu_simple/transportParameters.csv b/optimization202/ESUPS_case_study/data/vanuatu_simple/transportParameters.csv deleted file mode 100644 index 9bc70ca..0000000 --- a/optimization202/ESUPS_case_study/data/vanuatu_simple/transportParameters.csv +++ /dev/null @@ -1,12 +0,0 @@ -Attribute,Mode,gglAddress,Number -FixedAddlTime_Hrs,Truck,DEFAULT,24 -FixedAddlTime_Hrs,Air,DEFAULT,100000000 -StretchTimeFactor,Truck,DEFAULT,1.1 -StretchTimeFactor,Air,DEFAULT,100000000 -SpeedKmPerHr,Air,DEFAULT,0.000001 -FixedAddlCost_USD,Truck,DEFAULT,600 -FixedAddlCost_USD,Air,DEFAULT,1.00E+08 -VarCost_USD_ton_km,Truck,DEFAULT,1.2 -VarCost_USD_ton_km,Air,DEFAULT,1.00E+08 -StretchDistanceFactor,Truck,DEFAULT,1 -StretchDistanceFactor,Air,DEFAULT,1 diff --git a/optimization202/ESUPS_case_study/opti202_disaster_prepositioning.ipynb b/optimization202/ESUPS_case_study/opti202_disaster_prepositioning.ipynb index 1dfee01..68a3bed 100644 --- a/optimization202/ESUPS_case_study/opti202_disaster_prepositioning.ipynb +++ b/optimization202/ESUPS_case_study/opti202_disaster_prepositioning.ipynb @@ -11,7 +11,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -21,7 +21,7 @@ "" ] }, - "execution_count": 4, + "execution_count": 21, "metadata": { "image/png": { "width": 600 @@ -70,58 +70,9 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Requirement already satisfied: gurobipy==11.0.3 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from -r requirements.txt (line 1)) (11.0.3)\n", - "Requirement already satisfied: ipython==8.26.0 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from -r requirements.txt (line 2)) (8.26.0)\n", - "Requirement already satisfied: ipywidgets==8.1.3 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from -r requirements.txt (line 3)) (8.1.3)\n", - "Requirement already satisfied: numpy<2 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from -r requirements.txt (line 4)) (1.26.4)\n", - "Requirement already satisfied: pandas==2.2.2 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from -r requirements.txt (line 5)) (2.2.2)\n", - "Requirement already satisfied: pandera==0.20.3 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from -r requirements.txt (line 6)) (0.20.3)\n", - "Requirement already satisfied: plotly==5.23.0 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from -r requirements.txt (line 7)) (5.23.0)\n", - "Requirement already satisfied: pydantic==2.8.2 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from -r requirements.txt (line 8)) (2.8.2)\n", - "Requirement already satisfied: scipy==1.14.1 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from -r requirements.txt (line 9)) (1.14.1)\n", - "Requirement already satisfied: tqdm==4.66.4 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from -r requirements.txt (line 10)) (4.66.4)\n", - "Requirement already satisfied: typing_extensions==4.12.2 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from -r requirements.txt (line 11)) (4.12.2)\n", - "Requirement already satisfied: networkx in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from -r requirements.txt (line 12)) (3.4.2)\n", - "Requirement already satisfied: decorator in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from ipython==8.26.0->-r requirements.txt (line 2)) (5.1.1)\n", - "Requirement already satisfied: jedi>=0.16 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from ipython==8.26.0->-r requirements.txt (line 2)) (0.19.1)\n", - "Requirement already satisfied: matplotlib-inline in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from ipython==8.26.0->-r requirements.txt (line 2)) (0.1.6)\n", - "Requirement already satisfied: prompt-toolkit<3.1.0,>=3.0.41 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from ipython==8.26.0->-r requirements.txt (line 2)) (3.0.48)\n", - "Requirement already satisfied: pygments>=2.4.0 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from ipython==8.26.0->-r requirements.txt (line 2)) (2.16.1)\n", - "Requirement already satisfied: stack-data in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from ipython==8.26.0->-r requirements.txt (line 2)) (0.6.2)\n", - "Requirement already satisfied: traitlets>=5.13.0 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from ipython==8.26.0->-r requirements.txt (line 2)) (5.14.3)\n", - "Requirement already satisfied: pexpect>4.3 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from ipython==8.26.0->-r requirements.txt (line 2)) (4.8.0)\n", - "Requirement already satisfied: comm>=0.1.3 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from ipywidgets==8.1.3->-r requirements.txt (line 3)) (0.1.4)\n", - "Requirement already satisfied: widgetsnbextension~=4.0.11 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from ipywidgets==8.1.3->-r requirements.txt (line 3)) (4.0.13)\n", - "Requirement already satisfied: jupyterlab-widgets~=3.0.11 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from ipywidgets==8.1.3->-r requirements.txt (line 3)) (3.0.13)\n", - "Requirement already satisfied: python-dateutil>=2.8.2 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from pandas==2.2.2->-r requirements.txt (line 5)) (2.8.2)\n", - "Requirement already satisfied: pytz>=2020.1 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from pandas==2.2.2->-r requirements.txt (line 5)) (2023.3.post1)\n", - "Requirement already satisfied: tzdata>=2022.7 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from pandas==2.2.2->-r requirements.txt (line 5)) (2023.3)\n", - "Requirement already satisfied: multimethod<=1.10.0 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from pandera==0.20.3->-r requirements.txt (line 6)) (1.10)\n", - "Requirement already satisfied: packaging>=20.0 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from pandera==0.20.3->-r requirements.txt (line 6)) (23.2)\n", - "Requirement already satisfied: typeguard in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from pandera==0.20.3->-r requirements.txt (line 6)) (4.4.1)\n", - "Requirement already satisfied: typing-inspect>=0.6.0 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from pandera==0.20.3->-r requirements.txt (line 6)) (0.9.0)\n", - "Requirement already satisfied: wrapt in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from pandera==0.20.3->-r requirements.txt (line 6)) (1.16.0)\n", - "Requirement already satisfied: tenacity>=6.2.0 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from plotly==5.23.0->-r requirements.txt (line 7)) (8.2.3)\n", - "Requirement already satisfied: annotated-types>=0.4.0 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from pydantic==2.8.2->-r requirements.txt (line 8)) (0.7.0)\n", - "Requirement already satisfied: pydantic-core==2.20.1 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from pydantic==2.8.2->-r requirements.txt (line 8)) (2.20.1)\n", - "Requirement already satisfied: parso<0.9.0,>=0.8.3 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from jedi>=0.16->ipython==8.26.0->-r requirements.txt (line 2)) (0.8.3)\n", - "Requirement already satisfied: ptyprocess>=0.5 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from pexpect>4.3->ipython==8.26.0->-r requirements.txt (line 2)) (0.7.0)\n", - "Requirement already satisfied: wcwidth in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from prompt-toolkit<3.1.0,>=3.0.41->ipython==8.26.0->-r requirements.txt (line 2)) (0.2.8)\n", - "Requirement already satisfied: six>=1.5 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from python-dateutil>=2.8.2->pandas==2.2.2->-r requirements.txt (line 5)) (1.16.0)\n", - "Requirement already satisfied: mypy-extensions>=0.3.0 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from typing-inspect>=0.6.0->pandera==0.20.3->-r requirements.txt (line 6)) (1.0.0)\n", - "Requirement already satisfied: executing>=1.2.0 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from stack-data->ipython==8.26.0->-r requirements.txt (line 2)) (1.2.0)\n", - "Requirement already satisfied: asttokens>=2.1.0 in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from stack-data->ipython==8.26.0->-r requirements.txt (line 2)) (2.4.0)\n", - "Requirement already satisfied: pure-eval in /Users/yurchisin/opt/anaconda3/envs/gurobi_ml/lib/python3.11/site-packages (from stack-data->ipython==8.26.0->-r requirements.txt (line 2)) (0.2.2)\n" - ] - } - ], + "outputs": [], "source": [ "!pip install -r requirements.txt \n", "\n", @@ -165,7 +116,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -185,7 +136,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -220,7 +171,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -264,1001 +215,9 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "hovertemplate": "Type=warehouses
Lat=%{lat}
Long=%{lon}", - "lat": [ - -17.77894314476976, - -20.462014296657365, - -18.994257078658144, - -17.312712197175355, - -16.980944278407236, - -15.356399282911772, - -16.09327527636095, - -16.92141415027276, - -25.09845704532008, - -24.966681380935178, - -24.21050733130002, - -23.263429573496445, - -23.53118864780314, - -23.52198596049615, - -22.7754613821366, - -23.36941861779099, - -18.170832532381937, - -16.85899983577535, - -15.693763947398534, - -13.602620317187474, - -18.91903945215396, - -17.98846474934045, - -20.216909926744982, - -14.872881472367888, - -14.223758712256165, - -14.807889946380673, - -22.248583653601926 - ], - "legendgroup": "warehouses", - "lon": [ - 48.46428069374902, - 47.26425036272793, - 47.48501190009251, - 49.35085759114971, - 49.83228540208875, - 49.81531446665422, - 49.870048811361485, - 49.513519354675125, - 46.016530324977396, - 47.00105509303528, - 45.898821887613785, - 43.61692819848681, - 45.12725671413959, - 47.11222003271682, - 47.75519528161623, - 47.63100660426537, - 49.328643810285534, - 46.86842952427535, - 46.27436697399826, - 48.49150991133213, - 46.80689969549144, - 43.93009348392967, - 44.27222103356215, - 50.24609421190418, - 50.17338206087388, - 48.025907865123926, - 48.094420079128945 - ], - "marker": { - "color": "rgb(136, 204, 238)" - }, - "mode": "markers", - "name": "warehouses", - "showlegend": true, - "subplot": "mapbox", - "type": "scattermapbox" - }, - { - "hovertemplate": "Type=disasters
Lat=%{lat}
Long=%{lon}", - "lat": [ - -12.265973997525196, - -23.25792579275496, - -20.29970387005154, - -14.355725018212004, - -17.889552417606556, - -17.369814650567093, - -18.832824209453822, - -25.09892948718984, - -24.931694863459512, - -22.74639649451664, - -18.240377098002654, - -16.90689822715254, - -15.684946293124062, - -18.85281037346962, - -21.430501579078573, - -22.31706786523393, - -19.014951412130767, - -18.061074862183272, - -14.838390519397585, - -19.809865274355918, - -21.170036987090235, - -22.203223068471864 - ], - "legendgroup": "disasters", - "lon": [ - 49.24362158998228, - 43.57373344847025, - 44.401662231815074, - 50.09309786258654, - 48.34449570042201, - 49.31153431140597, - 47.55981383895864, - 46.12058872048772, - 46.916237203496024, - 47.86622662317293, - 49.35785726523589, - 46.8850294049546, - 46.22806405151074, - 46.07704598634166, - 47.13001298503796, - 46.164597193592265, - 46.82102922615268, - 44.06647053884179, - 48.02366428384587, - 46.963910525732125, - 48.330947128124485, - 48.01013764767548 - ], - "marker": { - "color": "rgb(204, 102, 119)" - }, - "mode": "markers", - "name": "disasters", - "showlegend": true, - "subplot": "mapbox", - "type": "scattermapbox" - } - ], - "layout": { - "legend": { - "title": { - "text": "Type" - }, - "tracegroupgap": 0 - }, - "mapbox": { - "center": { - "lat": -19.26162282757366, - "lon": 47.38278222728772 - }, - "domain": { - "x": [ - 0, - 1 - ], - "y": [ - 0, - 1 - ] - }, - "style": "open-street-map", - "zoom": 4.5 - }, - "margin": { - "b": 0, - "l": 0, - "r": 0, - "t": 0 - }, - "template": { - "data": { - "bar": [ - { - "error_x": { - "color": "#2a3f5f" - }, - "error_y": { - "color": "#2a3f5f" - }, - "marker": { - "line": { - "color": "#E5ECF6", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "bar" - } - ], - "barpolar": [ - { - "marker": { - "line": { - "color": "#E5ECF6", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "barpolar" - } - ], - "carpet": [ - { - "aaxis": { - "endlinecolor": "#2a3f5f", - "gridcolor": "white", - "linecolor": "white", - "minorgridcolor": "white", - "startlinecolor": "#2a3f5f" - }, - "baxis": { - "endlinecolor": "#2a3f5f", - "gridcolor": "white", - "linecolor": "white", - "minorgridcolor": "white", - "startlinecolor": "#2a3f5f" - }, - "type": "carpet" - } - ], - "choropleth": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "choropleth" - } - ], - "contour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "contour" - } - ], - "contourcarpet": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "contourcarpet" - } - ], - "heatmap": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmap" - } - ], - "heatmapgl": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmapgl" - } - ], - "histogram": [ - { - "marker": { - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "histogram" - } - ], - "histogram2d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2d" - } - ], - "histogram2dcontour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2dcontour" - } - ], - "mesh3d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "mesh3d" - } - ], - "parcoords": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "parcoords" - } - ], - "pie": [ - { - "automargin": true, - "type": "pie" - } - ], - "scatter": [ - { - "fillpattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - }, - "type": "scatter" - } - ], - "scatter3d": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatter3d" - } - ], - "scattercarpet": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattercarpet" - } - ], - "scattergeo": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergeo" - } - ], - "scattergl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergl" - } - ], - "scattermapbox": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattermapbox" - } - ], - "scatterpolar": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolar" - } - ], - "scatterpolargl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolargl" - } - ], - "scatterternary": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterternary" - } - ], - "surface": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "surface" - } - ], - "table": [ - { - "cells": { - "fill": { - "color": "#EBF0F8" - }, - "line": { - "color": "white" - } - }, - "header": { - "fill": { - "color": "#C8D4E3" - }, - "line": { - "color": "white" - } - }, - "type": "table" - } - ] - }, - "layout": { - "annotationdefaults": { - "arrowcolor": "#2a3f5f", - "arrowhead": 0, - "arrowwidth": 1 - }, - "autotypenumbers": "strict", - "coloraxis": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "colorscale": { - "diverging": [ - [ - 0, - "#8e0152" - ], - [ - 0.1, - "#c51b7d" - ], - [ - 0.2, - "#de77ae" - ], - [ - 0.3, - "#f1b6da" - ], - [ - 0.4, - "#fde0ef" - ], - [ - 0.5, - "#f7f7f7" - ], - [ - 0.6, - "#e6f5d0" - ], - [ - 0.7, - "#b8e186" - ], - [ - 0.8, - "#7fbc41" - ], - [ - 0.9, - "#4d9221" - ], - [ - 1, - "#276419" - ] - ], - "sequential": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "sequentialminus": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ] - }, - "colorway": [ - "#636efa", - "#EF553B", - "#00cc96", - "#ab63fa", - "#FFA15A", - "#19d3f3", - "#FF6692", - "#B6E880", - "#FF97FF", - "#FECB52" - ], - "font": { - "color": "#2a3f5f" - }, - "geo": { - "bgcolor": "white", - "lakecolor": "white", - "landcolor": "#E5ECF6", - "showlakes": true, - "showland": true, - "subunitcolor": "white" - }, - "hoverlabel": { - "align": "left" - }, - "hovermode": "closest", - "mapbox": { - "style": "light" - }, - "paper_bgcolor": "white", - "plot_bgcolor": "#E5ECF6", - "polar": { - "angularaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "radialaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "scene": { - "xaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "yaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "zaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - } - }, - "shapedefaults": { - "line": { - "color": "#2a3f5f" - } - }, - "ternary": { - "aaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "baxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "caxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "title": { - "x": 0.05 - }, - "xaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - }, - "yaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - } - } - } - } - } - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "def graph_locations():\n", " h = 0.1\n", @@ -1329,1003 +288,9 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "hovertemplate": "%{x}
Quantity: %{y}", - "marker": { - "color": [ - 1, - 0.7675871701257014, - 0.7192178579304599, - 0.41728945627404374, - 0.2058268604052829, - 0.16571512582392003, - 0.14116292176128986, - 0.10820612089877729, - 0.08233074416211315, - 0.07537183602460121, - 0.02572835755066036, - 0.006983411335179241, - 0.0009801279066918233, - 0.00017152238367106908, - 0.00009801279066918233 - ], - "colorscale": [ - [ - 0, - "#00224e" - ], - [ - 0.1111111111111111, - "#123570" - ], - [ - 0.2222222222222222, - "#3b496c" - ], - [ - 0.3333333333333333, - "#575d6d" - ], - [ - 0.4444444444444444, - "#707173" - ], - [ - 0.5555555555555556, - "#8a8678" - ], - [ - 0.6666666666666666, - "#a59c74" - ], - [ - 0.7777777777777778, - "#c3b369" - ], - [ - 0.8888888888888888, - "#e1cc55" - ], - [ - 1, - "#fee838" - ] - ], - "showscale": false - }, - "text": [ - "41k", - "31k", - "29k", - "17k", - "8k", - "7k", - "6k", - "4k", - "3k", - "3k", - "1k", - "285", - "40", - "7", - "4" - ], - "textposition": "auto", - "texttemplate": "%{text}", - "type": "bar", - "x": [ - "Buckets", - "WaterContainers", - "Mosquitonets", - "Tarpaulins", - "Blankets", - "PersonalProtectionEquipmentkit(PPE)", - "Kitchenset", - "SchoolPlaykits", - "Clothes", - "HygieneAndDignityKits", - "ShelterToolKit", - "Tents", - "SafeDeliverykits", - "Otherlampslanterns", - "Sleepingmats" - ], - "y": [ - 40811, - 31326, - 29352, - 17030, - 8400, - 6763, - 5761, - 4416, - 3360, - 3076, - 1050, - 285, - 40, - 7, - 4 - ] - } - ], - "layout": { - "annotations": [ - { - "arrowhead": 2, - "ax": -40, - "ay": -40, - "showarrow": true, - "text": "Highest Quantity", - "x": "Buckets", - "y": 40811 - } - ], - "margin": { - "b": 100, - "l": 40, - "r": 40, - "t": 80 - }, - "plot_bgcolor": "white", - "template": { - "data": { - "bar": [ - { - "error_x": { - "color": "#2a3f5f" - }, - "error_y": { - "color": "#2a3f5f" - }, - "marker": { - "line": { - "color": "#E5ECF6", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "bar" - } - ], - "barpolar": [ - { - "marker": { - "line": { - "color": "#E5ECF6", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "barpolar" - } - ], - "carpet": [ - { - "aaxis": { - "endlinecolor": "#2a3f5f", - "gridcolor": "white", - "linecolor": "white", - "minorgridcolor": "white", - "startlinecolor": "#2a3f5f" - }, - "baxis": { - "endlinecolor": "#2a3f5f", - "gridcolor": "white", - "linecolor": "white", - "minorgridcolor": "white", - "startlinecolor": "#2a3f5f" - }, - "type": "carpet" - } - ], - "choropleth": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "choropleth" - } - ], - "contour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "contour" - } - ], - "contourcarpet": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "contourcarpet" - } - ], - "heatmap": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmap" - } - ], - "heatmapgl": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmapgl" - } - ], - "histogram": [ - { - "marker": { - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "histogram" - } - ], - "histogram2d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2d" - } - ], - "histogram2dcontour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2dcontour" - } - ], - "mesh3d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "mesh3d" - } - ], - "parcoords": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "parcoords" - } - ], - "pie": [ - { - "automargin": true, - "type": "pie" - } - ], - "scatter": [ - { - "fillpattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - }, - "type": "scatter" - } - ], - "scatter3d": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatter3d" - } - ], - "scattercarpet": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattercarpet" - } - ], - "scattergeo": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergeo" - } - ], - "scattergl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergl" - } - ], - "scattermapbox": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattermapbox" - } - ], - "scatterpolar": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolar" - } - ], - "scatterpolargl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolargl" - } - ], - "scatterternary": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterternary" - } - ], - "surface": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "surface" - } - ], - "table": [ - { - "cells": { - "fill": { - "color": "#EBF0F8" - }, - "line": { - "color": "white" - } - }, - "header": { - "fill": { - "color": "#C8D4E3" - }, - "line": { - "color": "white" - } - }, - "type": "table" - } - ] - }, - "layout": { - "annotationdefaults": { - "arrowcolor": "#2a3f5f", - "arrowhead": 0, - "arrowwidth": 1 - }, - "autotypenumbers": "strict", - "coloraxis": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "colorscale": { - "diverging": [ - [ - 0, - "#8e0152" - ], - [ - 0.1, - "#c51b7d" - ], - [ - 0.2, - "#de77ae" - ], - [ - 0.3, - "#f1b6da" - ], - [ - 0.4, - "#fde0ef" - ], - [ - 0.5, - "#f7f7f7" - ], - [ - 0.6, - "#e6f5d0" - ], - [ - 0.7, - "#b8e186" - ], - [ - 0.8, - "#7fbc41" - ], - [ - 0.9, - "#4d9221" - ], - [ - 1, - "#276419" - ] - ], - "sequential": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "sequentialminus": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ] - }, - "colorway": [ - "#636efa", - "#EF553B", - "#00cc96", - "#ab63fa", - "#FFA15A", - "#19d3f3", - "#FF6692", - "#B6E880", - "#FF97FF", - "#FECB52" - ], - "font": { - "color": "#2a3f5f" - }, - "geo": { - "bgcolor": "white", - "lakecolor": "white", - "landcolor": "#E5ECF6", - "showlakes": true, - "showland": true, - "subunitcolor": "white" - }, - "hoverlabel": { - "align": "left" - }, - "hovermode": "closest", - "mapbox": { - "style": "light" - }, - "paper_bgcolor": "white", - "plot_bgcolor": "#E5ECF6", - "polar": { - "angularaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "radialaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "scene": { - "xaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "yaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "zaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - } - }, - "shapedefaults": { - "line": { - "color": "#2a3f5f" - } - }, - "ternary": { - "aaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "baxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "caxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "title": { - "x": 0.05 - }, - "xaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - }, - "yaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - } - } - }, - "title": { - "text": "Distribution of Supplies for Disaster Relief", - "x": 0.5, - "xanchor": "center", - "y": 0.95, - "yanchor": "top" - }, - "xaxis": { - "tickangle": -45, - "tickfont": { - "size": 10 - }, - "title": { - "text": "Supplies" - } - }, - "yaxis": { - "tickfont": { - "size": 10 - }, - "title": { - "text": "Quantity" - }, - "type": "log" - } - } - } - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "import plotly.graph_objects as go\n", "\n", @@ -2439,937 +404,9 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "hovertemplate": "Buckets=%{marker.size}
Lat=%{lat}
Long=%{lon}", - "lat": [ - -13.6804, - -17.8237, - -20.5167, - -25.17613271, - -18.9085, - -14.8762, - -22.8167, - -17.3843, - -15.7167, - -18.0646, - -22.15, - -18.9608, - -20.2847, - -14.2667, - -18.1499, - -23.35 - ], - "legendgroup": "", - "lon": [ - 48.4555, - 48.4263, - 47.25, - 46.08937803, - 47.5375, - 47.9835, - 47.8167, - 49.4098, - 46.3167, - 44.0295, - 48, - 46.9036, - 44.3175, - 50.1667, - 49.4023, - 43.6667 - ], - "marker": { - "color": "rgb(136, 204, 238)", - "size": [ - 375, - 26, - 41, - 2322, - 9046, - 610, - 5201, - 6689, - 150, - 2460, - 4235, - 3, - 736, - 5700, - 1580, - 1637 - ], - "sizemode": "area", - "sizeref": 22.615 - }, - "mode": "markers", - "name": "", - "showlegend": false, - "subplot": "mapbox", - "type": "scattermapbox" - } - ], - "layout": { - "legend": { - "itemsizing": "constant", - "tracegroupgap": 0 - }, - "mapbox": { - "center": { - "lat": -18.882877044375, - "lon": 47.235729876875 - }, - "domain": { - "x": [ - 0, - 1 - ], - "y": [ - 0, - 1 - ] - }, - "style": "carto-positron", - "zoom": 4.5 - }, - "margin": { - "b": 0, - "l": 0, - "r": 0, - "t": 0 - }, - "template": { - "data": { - "bar": [ - { - "error_x": { - "color": "#2a3f5f" - }, - "error_y": { - "color": "#2a3f5f" - }, - "marker": { - "line": { - "color": "#E5ECF6", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "bar" - } - ], - "barpolar": [ - { - "marker": { - "line": { - "color": "#E5ECF6", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "barpolar" - } - ], - "carpet": [ - { - "aaxis": { - "endlinecolor": "#2a3f5f", - "gridcolor": "white", - "linecolor": "white", - "minorgridcolor": "white", - "startlinecolor": "#2a3f5f" - }, - "baxis": { - "endlinecolor": "#2a3f5f", - "gridcolor": "white", - "linecolor": "white", - "minorgridcolor": "white", - "startlinecolor": "#2a3f5f" - }, - "type": "carpet" - } - ], - "choropleth": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "choropleth" - } - ], - "contour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "contour" - } - ], - "contourcarpet": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "contourcarpet" - } - ], - "heatmap": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmap" - } - ], - "heatmapgl": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmapgl" - } - ], - "histogram": [ - { - "marker": { - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "histogram" - } - ], - "histogram2d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2d" - } - ], - "histogram2dcontour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2dcontour" - } - ], - "mesh3d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "mesh3d" - } - ], - "parcoords": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "parcoords" - } - ], - "pie": [ - { - "automargin": true, - "type": "pie" - } - ], - "scatter": [ - { - "fillpattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - }, - "type": "scatter" - } - ], - "scatter3d": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatter3d" - } - ], - "scattercarpet": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattercarpet" - } - ], - "scattergeo": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergeo" - } - ], - "scattergl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergl" - } - ], - "scattermapbox": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattermapbox" - } - ], - "scatterpolar": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolar" - } - ], - "scatterpolargl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolargl" - } - ], - "scatterternary": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterternary" - } - ], - "surface": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "surface" - } - ], - "table": [ - { - "cells": { - "fill": { - "color": "#EBF0F8" - }, - "line": { - "color": "white" - } - }, - "header": { - "fill": { - "color": "#C8D4E3" - }, - "line": { - "color": "white" - } - }, - "type": "table" - } - ] - }, - "layout": { - "annotationdefaults": { - "arrowcolor": "#2a3f5f", - "arrowhead": 0, - "arrowwidth": 1 - }, - "autotypenumbers": "strict", - "coloraxis": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "colorscale": { - "diverging": [ - [ - 0, - "#8e0152" - ], - [ - 0.1, - "#c51b7d" - ], - [ - 0.2, - "#de77ae" - ], - [ - 0.3, - "#f1b6da" - ], - [ - 0.4, - "#fde0ef" - ], - [ - 0.5, - "#f7f7f7" - ], - [ - 0.6, - "#e6f5d0" - ], - [ - 0.7, - "#b8e186" - ], - [ - 0.8, - "#7fbc41" - ], - [ - 0.9, - "#4d9221" - ], - [ - 1, - "#276419" - ] - ], - "sequential": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "sequentialminus": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ] - }, - "colorway": [ - "#636efa", - "#EF553B", - "#00cc96", - "#ab63fa", - "#FFA15A", - "#19d3f3", - "#FF6692", - "#B6E880", - "#FF97FF", - "#FECB52" - ], - "font": { - "color": "#2a3f5f" - }, - "geo": { - "bgcolor": "white", - "lakecolor": "white", - "landcolor": "#E5ECF6", - "showlakes": true, - "showland": true, - "subunitcolor": "white" - }, - "hoverlabel": { - "align": "left" - }, - "hovermode": "closest", - "mapbox": { - "style": "light" - }, - "paper_bgcolor": "white", - "plot_bgcolor": "#E5ECF6", - "polar": { - "angularaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "radialaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "scene": { - "xaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "yaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "zaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - } - }, - "shapedefaults": { - "line": { - "color": "#2a3f5f" - } - }, - "ternary": { - "aaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "baxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "caxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "title": { - "x": 0.05 - }, - "xaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - }, - "yaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - } - } - } - } - } - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "def graph_supplies():\n", " supplies=[[x[0].latitude,\n", @@ -3419,998 +456,9 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "hovertemplate": "Type=Storm
People Impacted=%{marker.size}
Lat=%{lat}
Long=%{lon}", - "lat": [ - -12.2667, - -23.35, - -20.2847, - -14.2667, - -17.8237, - -18.9085, - -25.17613271, - -25.0316, - -22.8167, - -18.1499, - -21.447, - -22.3961, - -18.9608, - -18.0646, - -21.2367, - -22.15 - ], - "legendgroup": "Storm", - "lon": [ - 49.2833, - 43.6667, - 44.3175, - 50.1667, - 48.4263, - 47.5375, - 46.08937803, - 46.99, - 47.8167, - 49.4023, - 47.0872, - 46.1217, - 46.9036, - 44.0295, - 48.3461, - 48 - ], - "marker": { - "color": "rgb(136, 204, 238)", - "size": [ - 118000, - 70000, - 13561, - 100215, - 84309, - 55345, - 250000, - 540043, - 100000, - 600000, - 736938, - 369272, - 1900, - 526200, - 500, - 162086 - ], - "sizemode": "area", - "sizeref": 1842.345 - }, - "mode": "markers", - "name": "Storm", - "showlegend": true, - "subplot": "mapbox", - "type": "scattermapbox" - }, - { - "hovertemplate": "Type=Flood
People Impacted=%{marker.size}
Lat=%{lat}
Long=%{lon}", - "lat": [ - -17.3843, - -16.9504, - -19.8667 - ], - "legendgroup": "Flood", - "lon": [ - 49.4098, - 46.8281, - 47.0333 - ], - "marker": { - "color": "rgb(204, 102, 119)", - "size": [ - 28223, - 20000, - 23369 - ], - "sizemode": "area", - "sizeref": 1842.345 - }, - "mode": "markers", - "name": "Flood", - "showlegend": true, - "subplot": "mapbox", - "type": "scattermapbox" - }, - { - "hovertemplate": "Type=Epidemic
People Impacted=%{marker.size}
Lat=%{lat}
Long=%{lon}", - "lat": [ - -15.7167, - -18.7698, - -14.8762 - ], - "legendgroup": "Epidemic", - "lon": [ - 46.3167, - 46.05, - 47.9835 - ], - "marker": { - "color": "rgb(221, 204, 119)", - "size": [ - 15172, - 3055, - 21976 - ], - "sizemode": "area", - "sizeref": 1842.345 - }, - "mode": "markers", - "name": "Epidemic", - "showlegend": true, - "subplot": "mapbox", - "type": "scattermapbox" - } - ], - "layout": { - "legend": { - "itemsizing": "constant", - "title": { - "text": "Type" - }, - "tracegroupgap": 0 - }, - "mapbox": { - "center": { - "lat": -19.358815123181813, - "lon": 47.17299445590909 - }, - "domain": { - "x": [ - 0, - 1 - ], - "y": [ - 0, - 1 - ] - }, - "style": "carto-positron", - "zoom": 4.5 - }, - "margin": { - "b": 0, - "l": 0, - "r": 0, - "t": 0 - }, - "template": { - "data": { - "bar": [ - { - "error_x": { - "color": "#2a3f5f" - }, - "error_y": { - "color": "#2a3f5f" - }, - "marker": { - "line": { - "color": "#E5ECF6", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "bar" - } - ], - "barpolar": [ - { - "marker": { - "line": { - "color": "#E5ECF6", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "barpolar" - } - ], - "carpet": [ - { - "aaxis": { - "endlinecolor": "#2a3f5f", - "gridcolor": "white", - "linecolor": "white", - "minorgridcolor": "white", - "startlinecolor": "#2a3f5f" - }, - "baxis": { - "endlinecolor": "#2a3f5f", - "gridcolor": "white", - "linecolor": "white", - "minorgridcolor": "white", - "startlinecolor": "#2a3f5f" - }, - "type": "carpet" - } - ], - "choropleth": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "choropleth" - } - ], - "contour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "contour" - } - ], - "contourcarpet": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "contourcarpet" - } - ], - "heatmap": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmap" - } - ], - "heatmapgl": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmapgl" - } - ], - "histogram": [ - { - "marker": { - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "histogram" - } - ], - "histogram2d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2d" - } - ], - "histogram2dcontour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2dcontour" - } - ], - "mesh3d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "mesh3d" - } - ], - "parcoords": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "parcoords" - } - ], - "pie": [ - { - "automargin": true, - "type": "pie" - } - ], - "scatter": [ - { - "fillpattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - }, - "type": "scatter" - } - ], - "scatter3d": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatter3d" - } - ], - "scattercarpet": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattercarpet" - } - ], - "scattergeo": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergeo" - } - ], - "scattergl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergl" - } - ], - "scattermapbox": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattermapbox" - } - ], - "scatterpolar": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolar" - } - ], - "scatterpolargl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolargl" - } - ], - "scatterternary": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterternary" - } - ], - "surface": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "surface" - } - ], - "table": [ - { - "cells": { - "fill": { - "color": "#EBF0F8" - }, - "line": { - "color": "white" - } - }, - "header": { - "fill": { - "color": "#C8D4E3" - }, - "line": { - "color": "white" - } - }, - "type": "table" - } - ] - }, - "layout": { - "annotationdefaults": { - "arrowcolor": "#2a3f5f", - "arrowhead": 0, - "arrowwidth": 1 - }, - "autotypenumbers": "strict", - "coloraxis": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "colorscale": { - "diverging": [ - [ - 0, - "#8e0152" - ], - [ - 0.1, - "#c51b7d" - ], - [ - 0.2, - "#de77ae" - ], - [ - 0.3, - "#f1b6da" - ], - [ - 0.4, - "#fde0ef" - ], - [ - 0.5, - "#f7f7f7" - ], - [ - 0.6, - "#e6f5d0" - ], - [ - 0.7, - "#b8e186" - ], - [ - 0.8, - "#7fbc41" - ], - [ - 0.9, - "#4d9221" - ], - [ - 1, - "#276419" - ] - ], - "sequential": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "sequentialminus": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ] - }, - "colorway": [ - "#636efa", - "#EF553B", - "#00cc96", - "#ab63fa", - "#FFA15A", - "#19d3f3", - "#FF6692", - "#B6E880", - "#FF97FF", - "#FECB52" - ], - "font": { - "color": "#2a3f5f" - }, - "geo": { - "bgcolor": "white", - "lakecolor": "white", - "landcolor": "#E5ECF6", - "showlakes": true, - "showland": true, - "subunitcolor": "white" - }, - "hoverlabel": { - "align": "left" - }, - "hovermode": "closest", - "mapbox": { - "style": "light" - }, - "paper_bgcolor": "white", - "plot_bgcolor": "#E5ECF6", - "polar": { - "angularaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "radialaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "scene": { - "xaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "yaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "zaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - } - }, - "shapedefaults": { - "line": { - "color": "#2a3f5f" - } - }, - "ternary": { - "aaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "baxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "caxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "title": { - "x": 0.05 - }, - "xaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - }, - "yaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - } - } - } - } - } - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "def graph_impacts():\n", " \n", @@ -4469,1026 +517,9 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "hovertemplate": "Type=supplies
Scale=%{marker.size}
Lat=%{lat}
Long=%{lon}", - "lat": [ - -13.6804, - -17.8237, - -20.5167, - -25.17613271, - -18.9085, - -14.8762, - -22.8167, - -17.3843, - -15.7167, - -18.0646, - -22.15, - -18.9608, - -20.2847, - -14.2667, - -18.1499, - -23.35 - ], - "legendgroup": "supplies", - "lon": [ - 48.4555, - 48.4263, - 47.25, - 46.08937803, - 47.5375, - 47.9835, - 47.8167, - 49.4098, - 46.3167, - 44.0295, - 48, - 46.9036, - 44.3175, - 50.1667, - 49.4023, - 43.6667 - ], - "marker": { - "color": "rgb(136, 204, 238)", - "size": [ - 937.5, - 65, - 102.5, - 5805, - 22615, - 1525, - 13002.5, - 16722.5, - 375, - 6150, - 10587.5, - 7.5, - 1840, - 14250, - 3950, - 4092.5 - ], - "sizemode": "area", - "sizeref": 460.58625 - }, - "mode": "markers", - "name": "supplies", - "showlegend": true, - "subplot": "mapbox", - "type": "scattermapbox" - }, - { - "hovertemplate": "Type=disasters
Scale=%{marker.size}
Lat=%{lat}
Long=%{lon}", - "lat": [ - -12.2667, - -23.35, - -20.2847, - -14.2667, - -17.8237, - -17.3843, - -18.9085, - -25.17613271, - -25.0316, - -22.8167, - -18.1499, - -16.9504, - -15.7167, - -18.7698, - -21.447, - -22.3961, - -18.9608, - -18.0646, - -14.8762, - -19.8667, - -21.2367, - -22.15 - ], - "legendgroup": "disasters", - "lon": [ - 49.2833, - 43.6667, - 44.3175, - 50.1667, - 48.4263, - 49.4098, - 47.5375, - 46.08937803, - 46.99, - 47.8167, - 49.4023, - 46.8281, - 46.3167, - 46.05, - 47.0872, - 46.1217, - 46.9036, - 44.0295, - 47.9835, - 47.0333, - 48.3461, - 48 - ], - "marker": { - "color": "rgb(204, 102, 119)", - "size": [ - 118000, - 70000, - 13561, - 100215, - 84309, - 28223, - 55345, - 250000, - 540043, - 100000, - 600000, - 20000, - 15172, - 3055, - 736938, - 369272, - 1900, - 526200, - 21976, - 23369, - 500, - 162086 - ], - "sizemode": "area", - "sizeref": 460.58625 - }, - "mode": "markers", - "name": "disasters", - "showlegend": true, - "subplot": "mapbox", - "type": "scattermapbox" - } - ], - "layout": { - "legend": { - "itemsizing": "constant", - "title": { - "text": "Type" - }, - "tracegroupgap": 0 - }, - "mapbox": { - "center": { - "lat": -19.158420142631584, - "lon": 47.19940937 - }, - "domain": { - "x": [ - 0, - 1 - ], - "y": [ - 0, - 1 - ] - }, - "style": "carto-positron", - "zoom": 4.5 - }, - "margin": { - "b": 0, - "l": 0, - "r": 0, - "t": 0 - }, - "template": { - "data": { - "bar": [ - { - "error_x": { - "color": "#2a3f5f" - }, - "error_y": { - "color": "#2a3f5f" - }, - "marker": { - "line": { - "color": "#E5ECF6", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "bar" - } - ], - "barpolar": [ - { - "marker": { - "line": { - "color": "#E5ECF6", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "barpolar" - } - ], - "carpet": [ - { - "aaxis": { - "endlinecolor": "#2a3f5f", - "gridcolor": "white", - "linecolor": "white", - "minorgridcolor": "white", - "startlinecolor": "#2a3f5f" - }, - "baxis": { - "endlinecolor": "#2a3f5f", - "gridcolor": "white", - "linecolor": "white", - "minorgridcolor": "white", - "startlinecolor": "#2a3f5f" - }, - "type": "carpet" - } - ], - "choropleth": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "choropleth" - } - ], - "contour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "contour" - } - ], - "contourcarpet": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "contourcarpet" - } - ], - "heatmap": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmap" - } - ], - "heatmapgl": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmapgl" - } - ], - "histogram": [ - { - "marker": { - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "histogram" - } - ], - "histogram2d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2d" - } - ], - "histogram2dcontour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2dcontour" - } - ], - "mesh3d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "mesh3d" - } - ], - "parcoords": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "parcoords" - } - ], - "pie": [ - { - "automargin": true, - "type": "pie" - } - ], - "scatter": [ - { - "fillpattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - }, - "type": "scatter" - } - ], - "scatter3d": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatter3d" - } - ], - "scattercarpet": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattercarpet" - } - ], - "scattergeo": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergeo" - } - ], - "scattergl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergl" - } - ], - "scattermapbox": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattermapbox" - } - ], - "scatterpolar": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolar" - } - ], - "scatterpolargl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolargl" - } - ], - "scatterternary": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterternary" - } - ], - "surface": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "surface" - } - ], - "table": [ - { - "cells": { - "fill": { - "color": "#EBF0F8" - }, - "line": { - "color": "white" - } - }, - "header": { - "fill": { - "color": "#C8D4E3" - }, - "line": { - "color": "white" - } - }, - "type": "table" - } - ] - }, - "layout": { - "annotationdefaults": { - "arrowcolor": "#2a3f5f", - "arrowhead": 0, - "arrowwidth": 1 - }, - "autotypenumbers": "strict", - "coloraxis": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "colorscale": { - "diverging": [ - [ - 0, - "#8e0152" - ], - [ - 0.1, - "#c51b7d" - ], - [ - 0.2, - "#de77ae" - ], - [ - 0.3, - "#f1b6da" - ], - [ - 0.4, - "#fde0ef" - ], - [ - 0.5, - "#f7f7f7" - ], - [ - 0.6, - "#e6f5d0" - ], - [ - 0.7, - "#b8e186" - ], - [ - 0.8, - "#7fbc41" - ], - [ - 0.9, - "#4d9221" - ], - [ - 1, - "#276419" - ] - ], - "sequential": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "sequentialminus": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ] - }, - "colorway": [ - "#636efa", - "#EF553B", - "#00cc96", - "#ab63fa", - "#FFA15A", - "#19d3f3", - "#FF6692", - "#B6E880", - "#FF97FF", - "#FECB52" - ], - "font": { - "color": "#2a3f5f" - }, - "geo": { - "bgcolor": "white", - "lakecolor": "white", - "landcolor": "#E5ECF6", - "showlakes": true, - "showland": true, - "subunitcolor": "white" - }, - "hoverlabel": { - "align": "left" - }, - "hovermode": "closest", - "mapbox": { - "style": "light" - }, - "paper_bgcolor": "white", - "plot_bgcolor": "#E5ECF6", - "polar": { - "angularaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "radialaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "scene": { - "xaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "yaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "zaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - } - }, - "shapedefaults": { - "line": { - "color": "#2a3f5f" - } - }, - "ternary": { - "aaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "baxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "caxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "title": { - "x": 0.05 - }, - "xaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - }, - "yaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - } - } - } - } - } - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "def graph_overlap():\n", " supplies=[['supplies',\n", @@ -5579,25 +610,9 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "" - ] - }, - "execution_count": 20, - "metadata": { - "image/png": { - "width": 1200 - } - }, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "Image(filename='images/Old_Stockholm.png', width=1200)" ] @@ -5615,25 +630,9 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAACQgAAAUUCAYAAACZbm1JAAAMPWlDQ1BJQ0MgUHJvZmlsZQAASImVVwdYU8kWnltSIbQAAlJCb4KAlABSQmgBpBfBRkgChBJjQlCxo4sKrl0sYENXRRQ7IHbEziLY+2JBQVkXC3blTQrouq98b/LNzJ9/zvznzLlzywCgeZIrFuehWgDkiwok8WFBjNGpaQxSFyACGvwNBWQuTypmxcZGAVgG+r+XdzcAIu+vOsm1/jn+X4s2XyDlAYDEQpzBl/LyIT4IAF7JE0sKACDKecvJBWI5hhXoSmCAEC+Q4ywlrpTjDCXeq7BJjGdD3AwAWZ3LlWQBoNEGeUYhLwtqaPRC7CLiC0UAaDIg9s/Pn8iHOB1iO2gjhliuz8z4QSfrb5oZg5pcbtYgVq5FUcjBQqk4jzv1/0zH/y75ebIBHzawqmdLwuPla4Z5u5U7MVKO1SHuEWVEx0CsA/EHIV9hDzFKzZaFJyntUWOelA1zBvQhduFzgyMhNoY4VJQXHaXiMzKFoRyI4Q5BpwgLOIkQG0C8QCANSVDZbJJMjFf5QusyJWyWij/PlSj8yn09kOUmsVT6r7MFHJU+plGUnZgCMRViq0JhcjTEGhA7S3MTIlU2I4uy2dEDNhJZvDx+K4jjBaKwIKU+VpgpCY1X2ZfmSwfWi23KFnKiVXh/QXZiuDI/WDOPq4gfrgVrE4hYSQM6AunoqIG18AXBIcq1Y10CUVKCSueDuCAoXjkXp4rzYlX2uIUgL0zOW0DsLi1MUM3FkwvghlTq45nigthEZZx4UQ43IlYZD74URAE2CAYMIIM1A0wEOUDY2lPfA/8pR0IBF0hAFhAAJxUzMCNFMSKCbQIoAn9CJADSwXlBilEBKIT810FW2TqBTMVooWJGLngKcT6IBHnwv0wxSzToLRk8gYzwH965sPJgvHmwysf/PT/AfmdYkIlSMbIBjwzNAUtiCDGYGE4MJdrjRrg/7otHwTYQVjeciXsPrOO7PeEpoZ3wiHCd0EG4PUFYLPkpylGgA+qHqnKR8WMucBuo6YEH4X5QHSrj+rgRcMLdoR8WHgA9e0CWrYpbnhXGT9p/W8EPV0NlR3GhoJQhlECK3c8zNRw0PAZV5Ln+MT/KWDMG880eHPnZP/uH7PNhH/mzJbYAO4Cdw05hF7CjWD1gYCewBqwFOybHg7vriWJ3DXiLV8STC3WE//A3cGXlmZS61Lh0u3xRjhUIpsif0YA9UTxVIszKLmCw4BtBwOCIeM7DGG4ubu4AyN8vysfXmzjFewPRb/nOzf0DAL8T/f39R75zEScA2OcFb//D3zk7Jnx1qAFw/jBPJilUcri8IcCnhCa80wyBKbAEdnA9bsAT+IJAEAIiQAxIBKlgPIw+G+5zCZgMpoM5oASUgaVgFVgHNoItYAfYDfaDenAUnAJnwSXQBq6Du3D3dIIXoBe8A58RBCEhNISOGCJmiDXiiLghTMQfCUGikHgkFUlHshARIkOmI3ORMmQ5sg7ZjFQj+5DDyCnkAtKO3EYeIt3Ia+QTiqHqqC5qgtqgw1EmykIj0UR0HJqFTkKL0HnoYnQNWoXuQuvQU+gl9Dragb5A+zCAqWH6mDnmhDExNhaDpWGZmASbiZVi5VgVVos1wut8FevAerCPOBGn4wzcCe7gcDwJ5+GT8Jn4InwdvgOvw5vxq/hDvBf/RqARjAmOBB8ChzCakEWYTCghlBO2EQ4RzsB7qZPwjkgk6hNtiV7wXkwl5hCnERcR1xP3EE8S24mPiX0kEsmQ5EjyI8WQuKQCUglpLWkX6QTpCqmT9IGsRjYju5FDyWlkEbmYXE7eST5OvkJ+Rv5M0aJYU3woMRQ+ZSplCWUrpZFymdJJ+UzVptpS/aiJ1BzqHOoaai31DPUe9Y2ampqFmrdanJpQbbbaGrW9aufVHqp9VNdRd1Bnq49Vl6kvVt+uflL9tvobGo1mQwukpdEKaItp1bTTtAe0Dxp0DWcNjgZfY5ZGhUadxhWNl5oUTWtNluZ4zSLNcs0Dmpc1e7QoWjZabC2u1kytCq3DWje1+rTp2q7aMdr52ou0d2pf0O7SIenY6ITo8HXm6WzROa3zmI7RLelsOo8+l76VfobeqUvUtdXl6Obolunu1m3V7dXT0XPXS9abolehd0yvQx/Tt9Hn6OfpL9Hfr39D/9MQkyGsIYIhC4fUDrky5L3BUINAA4FBqcEeg+sGnwwZhiGGuYbLDOsN7xvhRg5GcUaTjTYYnTHqGao71Hcob2jp0P1D7xijxg7G8cbTjLcYtxj3mZiahJmITdaanDbpMdU3DTTNMV1pety024xu5m8mNFtpdsLsOUOPwWLkMdYwmhm95sbm4eYy883mreafLWwtkiyKLfZY3LekWjItMy1XWjZZ9lqZWY2ymm5VY3XHmmLNtM62Xm19zvq9ja1Nis18m3qbLlsDW45tkW2N7T07ml2A3SS7Krtr9kR7pn2u/Xr7NgfUwcMh26HC4bIj6ujpKHRc79g+jDDMe5hoWNWwm07qTiynQqcap4fO+s5RzsXO9c4vh1sNTxu+bPi54d9cPFzyXLa63HXVcY1wLXZtdH3t5uDGc6twuzaCNiJ0xKwRDSNeuTu6C9w3uN/yoHuM8pjv0eTx1dPLU+JZ69ntZeWV7lXpdZOpy4xlLmKe9yZ4B3nP8j7q/dHH06fAZ7/PX75Ovrm+O327RtqOFIzcOvKxn4Uf12+zX4c/wz/df5N/R4B5ADegKuBRoGUgP3Bb4DOWPSuHtYv1MsglSBJ0KOg924c9g30yGAsOCy4Nbg3RCUkKWRfyINQiNCu0JrQ3zCNsWtjJcEJ4ZPiy8JscEw6PU83pjfCKmBHRHKkemRC5LvJRlEOUJKpxFDoqYtSKUfeiraNF0fUxIIYTsyLmfqxt7KTYI3HEuNi4irin8a7x0+PPJdATJiTsTHiXGJS4JPFukl2SLKkpWTN5bHJ18vuU4JTlKR2jh4+eMfpSqlGqMLUhjZSWnLYtrW9MyJhVYzrHeowtGXtjnO24KeMujDcanzf+2ATNCdwJB9IJ6SnpO9O/cGO4Vdy+DE5GZUYvj81bzXvBD+Sv5HcL/ATLBc8y/TKXZ3Zl+WWtyOrODsguz+4RsoXrhK9ywnM25rzPjcndntufl5K3J5+cn55/WKQjyhU1TzSdOGViu9hRXCLumOQzadWkXkmkZJsUkY6TNhTowg/5Fpmd7BfZw0L/worCD5OTJx+Yoj1FNKVlqsPUhVOfFYUW/TYNn8ab1jTdfPqc6Q9nsGZsnonMzJjZNMty1rxZnbPDZu+YQ52TO+f3Ypfi5cVv56bMbZxnMm/2vMe/hP1SU6JRIim5Od93/sYF+ALhgtaFIxauXfitlF96scylrLzsyyLeoou/uv665tf+xZmLW5d4LtmwlLhUtPTGsoBlO5ZrLy9a/njFqBV1KxkrS1e+XTVh1YVy9/KNq6mrZas71kStaVhrtXbp2i/rstddrwiq2FNpXLmw8v16/vorGwI31G402Vi28dMm4aZbm8M211XZVJVvIW4p3PJ0a/LWc78xf6veZrStbNvX7aLtHTvidzRXe1VX7zTeuaQGrZHVdO8au6ttd/Duhlqn2s179PeU7QV7ZXuf70vfd2N/5P6mA8wDtQetD1Yeoh8qrUPqptb11mfXdzSkNrQfjjjc1OjbeOiI85HtR82PVhzTO7bkOPX4vOP9J4pO9J0Un+w5lXXqcdOEprunR5++1hzX3Hom8sz5s6FnT59jnTtx3u/80Qs+Fw5fZF6sv+R5qa7Fo+XQ7x6/H2r1bK277HW5oc27rbF9ZPvxKwFXTl0Nvnr2GufapevR19tvJN24dXPszY5b/Ftdt/Nuv7pTeOfz3dn3CPdK72vdL39g/KDqD/s/9nR4dhx7GPyw5VHCo7uPeY9fPJE++dI57yntafkzs2fVXW5dR7tDu9uej3ne+UL84nNPyZ/af1a+tHt58K/Av1p6R/d2vpK86n+96I3hm+1v3d829cX2PXiX/+7z+9IPhh92fGR+PPcp5dOzz5O/kL6s+Wr/tfFb5Ld7/fn9/WKuhKv4FMBgRTMzAXi9HQBaKgB0eD6jjlGe/xQFUZ5ZFQj8J6w8IyqKJwC18Ps9rgd+3dwEYO9WePyC+ppjAYilAZDoDdARIwbrwFlNca6UFyI8B2xK/ZqRnwH+TVGeOX+I++ceyFXdwc/9vwCmuHxYbjW17gAAAIplWElmTU0AKgAAAAgABAEaAAUAAAABAAAAPgEbAAUAAAABAAAARgEoAAMAAAABAAIAAIdpAAQAAAABAAAATgAAAAAAAACQAAAAAQAAAJAAAAABAAOShgAHAAAAEgAAAHigAgAEAAAAAQAACQigAwAEAAAAAQAABRQAAAAAQVNDSUkAAABTY3JlZW5zaG90G/bAqwAAAAlwSFlzAAAWJQAAFiUBSVIk8AAAAdhpVFh0WE1MOmNvbS5hZG9iZS54bXAAAAAAADx4OnhtcG1ldGEgeG1sbnM6eD0iYWRvYmU6bnM6bWV0YS8iIHg6eG1wdGs9IlhNUCBDb3JlIDYuMC4wIj4KICAgPHJkZjpSREYgeG1sbnM6cmRmPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5LzAyLzIyLXJkZi1zeW50YXgtbnMjIj4KICAgICAgPHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9IiIKICAgICAgICAgICAgeG1sbnM6ZXhpZj0iaHR0cDovL25zLmFkb2JlLmNvbS9leGlmLzEuMC8iPgogICAgICAgICA8ZXhpZjpQaXhlbFlEaW1lbnNpb24+MTMwMDwvZXhpZjpQaXhlbFlEaW1lbnNpb24+CiAgICAgICAgIDxleGlmOlBpeGVsWERpbWVuc2lvbj4yMzEyPC9leGlmOlBpeGVsWERpbWVuc2lvbj4KICAgICAgICAgPGV4aWY6VXNlckNvbW1lbnQ+U2NyZWVuc2hvdDwvZXhpZjpVc2VyQ29tbWVudD4KICAgICAgPC9yZGY6RGVzY3JpcHRpb24+CiAgIDwvcmRmOlJERj4KPC94OnhtcG1ldGE+Co+GT4gAAAAcaURPVAAAAAIAAAAAAAACigAAACgAAAKKAAACigADCw7xY9FmAABAAElEQVR4AezdBbwV1fbA8WVhP7FbAQMV9CkGJY1YKCAqDRIqIo0gKCEhDYK0qIBKIyUCgoRiYDz1/+wAExExUB8GBv+9RvfcOXPn9Jx7uef+th8807PnO3tO3Fmz9l47d+7cLRQEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBDISoG9CBDKyvPKQSGAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggg4AgQIERDQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAgiwUIEMrik8uhIYAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCBAgBBtAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBLBYgQCiLTy6HhgACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAUK0AQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEsliAAKEsPrkcGgIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACBAjRBhBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQyGIBAoSy+ORyaAgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIECBEG0AAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAIIsFCBDK4pPLoSGAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggQIAQbQABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgSwWIEAoi08uh4YAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAFCtAEEEEAAAQQQQAABBBBAAAEEEAgU+Pzzz+XDDz+UrVu3yo8//ii7du2SQw89VI466ig59dRTpVSpUrLvvvsGrstEBBBAAAEEEEAAAQQQQAABBBBAAAEEENhzBAgQ2nPOBTVBAAEEEMiAwO+//y5r166Rgw86WCpUrCh77713BvbCJhFAIBWB//3vf1K9WlV31RIlTpM5c+e649kwwHvQ32cRh2xozRxDYRH47bffZOHChbJy5UrZsGGDbNu2Leah77XXXlKuXDmpUaOGXHvttU7AUMwVmIkAAggggAACCCCAAAIIIIAAAggggAAC+SIQaoDQX3/9JX/++WfMA9E/HvJ0YUyiQjszkfajONp+tB2lW/z722effTISOODfT7R6a9CC1oGCQLYIJNr299tvv4wdst7guvaa2u6NrTPOPFPmzZsfyntIxirNhrNGwH8N8D6f+9RqgNClFSu4M0477TR5fOEid7ygD/Ae9PcZxKFgt+Rff/1VRo4YIe+//54MGTJUTjr55LQPSAPG/vOfV+WjDz+Sb7/7VnT8mGOOkRNPPEnKly8vBx10UNr70A3s3r1btmzZIh999JHz7+edO+W000+T008/XYoXLyFFihQJZT9BG8mEW9B+wpy2efNmmTRpkkyfPl1+/vnnlDddtWpVufnmm6Vu3bopb4MVEUAAAQQQQAABBBBAAAEEEEAAAQQQQCB8gVADhO67b7TMMH9MjFcOO+ww5w/LJ590snk9SUqYP85eVquWZPImcbw6MT//BRJtP0X239/cPDhRnPZz0klSpUoVKWueWE22+PfX7Y47pFmz5sluJu7y/v3EWuFIk6bfHpem669br54cffTRsVZhHgJ7rECibV8D4w4x3VRoVxX/Mv9OOOEEKV36XDn33HPl7HPOSesm4dKlS6Vvn94RRhMnTZYKFXICEiJmMoJAiAK9775bli17wt3iscceKytWPpWRYFR3JwVsINsDhHgP+rtB4lDALkxPdTWwpkf37rJ58yZn6vwFj8sZZ5zhWSK5QQ2aGTfuflm0aJFosE5QOfDAA53fhh07dnK6sApaJt40DdCcP2+eTJw4QX744YfAxfc23z9q164tXbp0lcMPPzxwmVQnhu2Waj0SXe+PP/6Q/v37y+jRoxNdJaHlKleuLL1795aKJoMjBQEEEEAAAQQQQAABBBBAAAEEEEAAAQTyXyBfAoSCDvskE+jRoWNHqVXrcjI7BAEVgmmJBhMEUZQtW1Y6dupk0tmXDpodOM2/vz0hQMhfUQ2GatigobRs1Sr0Gxf+fTGOQNgC/mssle1rxrDqpruKBuY6uPDCC5PexKJFC6X/PfdErDd+/AS5tFKliGmMIBC2gAa+1KxRXfRmuLfQ/rwaItkeIMR70N/nG4fIdl8QxjR7zJQpk2XmY4+JBo/Ykk6A0P+98Yb06dNHPvvsU7u5mK9FTdDOwIEDpVKlyjGX88/873//K/cOGuRkPPLPCxrXAOX27TvIjQ0apP07NBNuQXUOc9ratWula9eu8uGHH4a52YhtdTdBZvf4vo9FLMAIAggggAACCCCAAAIIIIAAAggggAACCOSJwB4TIGSPVrNGDDB/CC5RooSdxGshEQgjmKBXr7ukQcOGCYn597cnBgjZA9FuFiaadP/nn3+BncRrARXYtWuXvPTSRrn44kvkgAMOKKBHkVi1/ddYYmtFX0q7B+vTp6+cd9550RfyzdHgjKuvvkq+/eYbZ45mPZhruhjTrp4oiQsUpnabuErsJR9fsMDc2B6Qa6GaNWvKyFHhZmjItZMCNCHbA4R4D/q7MeJQcC5K7epr6ZIlMnnyZNm+/etcFU81QGjy5Ekm4GiK7DaZfbxFg+FLms/3HSbLz+effead5QxrhtnJk6fIhRddlGte0ISPTRdZjRo1zBWcqdkKS5guDDWT7fvvvSc//fRTrtU7d+4iN7VsmWt6IhMy5ZbIvtNZZsKECdKjR490NpHwupdffrk8/PDDUrRo0YTXYUEEEEAAAQQQQAABBBBAAAEEEEAAAQQQCFcgowFCGsxwZskzI2r8yy+/yNatW2Xrl1/Ktm3bIp5ItQsWN8FBc+bMlf3NH4wphUfAH0wQ1H5+3vmzfP31Nvnqq22BTx9rtpGHHnpY/n3++XHh/PvLqwChoOPSyv6w4wfZsmWLfLHlC9nx/fe56n/MMcc4gQ2Hh9wFQq4dMSEjAs8/95zT1dCzGzbITpNZZO269XLEEUdkZF97ykb911i0tq+fC3qjTv998fnnzmdDtGPQG3y33dZOWrVunXCQz65dv8nq1avlkEMONVkIKiW8XrQ6FKbphbHdhnV+mzVtIm+++WauzenN7lWrnyYr3D8y2R4gpIfJe9DfJxuHfxr9Hvry448/OoFBM2bMCAwMstVOJUDopZdekltvudluwnnVbkR73NlTzj77bNHv71q+/fZbee65DTJs2LCI7sf+9a9/yYLHF4p+F45VtI01adJEPvzgA3cx7a6sS9duUrduHSlSJOe3pWYZGjigf0TWHK3HjEceSSojaSbd3IPI0IBmZxo6dGjcrVevXl2qVasmZcqUcR7iOfLII51z5nxv++ILefvtt+X555+XFStWmN9puYPKvDs43/xGmz9/vtOdrHc6wwgggAACCCCAAAIIIIAAAggggAACCCCQNwIZDRCKF3ChTxPPnTtXpk97WL73BURoFhjNBkMpPAL+YIJ47UfT4M+YPt0JuvAqHX30MbJk6VLRrDuxSrL7i7WtWPNS2c/69etl/Lj75aOPPorYdNly5WTSpMkEOESoFIyRRg0byLvvvutWtjAGCMW7pi2O3lzSG3crli+XdevXyV9//mlnua9XXHGlDDE3tfbaay93GgPhCxTGdhuG4qZNm6T+dfXcTV1yySXy8ssvu+N33NFdmjZr5o4X5oHCECBUmM8vx77nC7z22mvyyCMzRANCNQuOt2hQ7qEmOMcbuJ5sgJAG7dSvXz8iO5C+/2m2HhsY5N2nDut7aMcO7Z3AeTuvXr3rpF+cLqr837m167CZs2bLKaecYjcT8arHe8cd3eQZ873blpPNsosXLxE99lgl026x9h3GPA0M0gChaEUf1Olouv9uZbo5juYXtO4Ckz1vksl6unHjxqDZzjQNElpuvuNpNicKAggggAACCCCAAAIIIIAAAggggAACCOStQL4GCNlD1ewRnTt3kpd8f0icaAIhKlSoYBfjNcsF/H/UTzSY4L7Ro2XGjOkROg9MfVD0hmyskur+Ym0zaF6q+/nLdMHQuVMnefbZZyI2O+WBqVK2bNmIaYzs+QKFMdAi1bbvPZtfmYxzEydNdLIaeKfr8K23tpXb2rXzT2Y8RIHC2G7D4Bs9apRzw91ua/z4CdK+/e12VE4//XQnG4Y7oRAPECBUiE8+h75HCNw7aJDJ6DIvV12OP/4EGTxkiDz44FQneMgukGyA0P1jx5pupR6yq4sGu0+Z8oA7Hm1As2rWufYaN9vs3iZgZ9GixXLqqadGW0WuveaaiAyjffv2k+tMcFKs8t1330m9enVNJs8d7mJz5s6Ts846yx0PGsi0W9A+w5r22GOPme9Qt0bdXNOmTaV///5y3HHHRV0m3oxp06aZh316BXblputqd2MLFy6MtxnmI4AAAggggAACCCCAAAIIIIAAAggggEDIAntEgJAe0zfbt0v96+tH/HG2du1rZNC994Z8yGxuTxVINZhAA2muNTcQtGsiWzp16iwtzROvsUqq+4u1zaB56exnx47v5frrr3euD7vtzl26yk033WRHeS0gAoUx0CKdtu8/rStXrpQB/e+Rn3/+OWLW2PvHSZUqVSKmMRKeQGFst+nq/fHHH1LrspqiN521aFcsq59eIw1NFrEP3n/f3fxjM2dJ6dKl3fHCOkCAUGE98xz3niLgD3TRLrmaN2/hdOWpWWRuv71dygFCen1XrVLZDfLRrDwaYFTCdCedSPHX7eZbbjH1aR+4qnZ3VbnSpbJ7925nvnbjumbtuoQyDfqDmPr06Wt+l14fuB870V+3MN3sPjLx+s4770g5E6T1Z0B2Rt3fuHHjnKxBYex78+bNTiDSCy+8ELi5Hj16SL9+/QLnMREBBBBAAAEEEEAAAQQQQAABBBBAAAEEMiOwxwQI6eHNnTNHhgwZ7B5pyZJnydx5uZ9odRdgIKsE0gkm6NWrp9MdkQWpZZ5KHT58hB0NfE1nf4EbjDIx3f2MHDlCHnv0UXfrl19+hQwbPtwdZ6BgCBTGQIt0277/zGr3J+1NlyO7TVCgLWeccYbMm78goRuAdh1eExcojO02cZ3gJdeuXSNdu3RxZzYxmRi6d+9hMt3NkPtGj3Kn681nvQld2AsBQoW9BXD8+S1gA10OP/xw0S6eGzZsJEWLFnWrlU6A0Jo1a6Rb15z3w6rVqsmYMWPdbccb2LZtm9S++iq367PiJrBIswgFlY0bX5S2nqw4iWYq0m2tXrXKvE/f4W623nWmO7N+97jjQQOZdAvaX1jTrjFZltauXRu4Oe0e7Morrwycl+pEfZCjQYMGTpdiQdtYZewrVqwYNItpCCCAAAIIIIAAAggggAACCCCAAAIIIJABgT0qQOitt96Spk0au4dZpEgR2fjSy7L33nu70xjIXoF0ggmmTJkskyZOdHHq1K1rUuMPcMeDBtLZX9D2ok1Ldz9Lly6Vvn16u5s/5ZRTZekTT7jjDBQMgcIYaJFu2w86s9NNlxVjxtwXMWvU6PukRo0aEdMYCUegMLbbdOU6dugQ0TXk7Dlz5eyzz3YywdW6vJb89U/WhkMOOUSeXrNWDjjggHR3WaDXJ0CoQJ8+Kp8FAhrUeNBBB8nFF18imuHHX9IJEBphAtpnznzM3eQtt9wq7W7P6W7RnRFjoHGjhqJZb2x5cvkKOfHEE+2o++oP8knkt4Bd2f8btOZll8nIkTkBnXY572sm3bz7CXP4UfPAQdu2bQM3OXPmTKlrfj/FKhMmTDDdxT0csYhmTnrOBHDHKhokpF2KBWUSqlSpkmiWSAoCCCCAAAIIIIAAAggggAACCCCAAAII5I3AHhUgpF3HVKxQ3k0NrwSLFi+R4sWLx9TYtWuXvPHGG/LSxo3y0aaPZMeOHfLDDz/IQeYPlvo07MmnnGJSqZeXSy65xPkDeKyNffXVV/Lhhx+4ixx5xJFyTqlS7ni8gf/85z+mC5ydzmIHHXiQXHjRRfFWceZrF2vvvveuu6wGgZx66qnueLSBr7/+2jwFukZeffVV2W628T+TXr9YseJyxplnSMmSJeXss86W444/PtrquaZruvkXXnjenX7QQQfLhRde6I7v2vWbPPnkk/Luu+/Kt9986/yBvuKll0rZsmXdZVIdSCeYoI8JoHnCBNLY0qFjR2nduo0dDXxNZ3+BG4wyMd39vPTSS3LrLTe7Wz/uuONk5VOr3PFEBsJsJ/HaiNbn22+/dc7He++9J3pN/fDjD861qHWvUKGCVK5cRf71r38lUvWYy4R57Xt3FO8YE7kOntuwQXab/2wZNmxYRDd4gwcPkUP/daid7b5ecEEZ0cCBbCjptv0gA+2+6ZratWXr1i/d2WXMe9TDD09zx70D8c6ld9mg4R9//NG5cfXpJ5/IF1u+kC+//FL2NTdQjzDdRh111FFyYZkLpVLlyk77Dlo/aJoew4svviCffvKpbNmyxfmnx3OouSaKFSvm/CtVqnTEe2/QdqJNS6fOmW63eflelMh1Gs0w1en6We4NAjrttNPk8YWL3M3d3u42ef75nM/YgYPuFc3mkExJpE3rzfTly5+Uzz79TLZ+tVUOPfRQKXlmSTmz5JlykflecvLJpySzS3fZTLTdRAKEPvjgA9m27Su3Htp1kF4jqZTXXntNdu78n7vq+edf4Pi4EzwD6VxLdjOJnC+7bNBrGHUI2m6y09KtR7IOiSyfqXbut9m0aZO5bp8TDSLRrgO/N//226+IHHX0UXL00UdLGfM5UM1kxknmszvM90J/fcMeTydAqEeP7rLqqafcKmkGTM2EmUy503RD9dRTOQEkmoFIMxH5y/vvvycNbrzRnXzuuefKo4/NdMdjDSxevEju8XR1pb8h9LdEOiUdt3T2G2vdMmXKyPueri7tstrNl3b3Fa/cc889MmJEZIZWDS7T36DxinY3pr8BtCs4f0kkOMm/DuMIIIAAAggggAACCCCAAAIIIIAAAgggkJrAHhUgpIdQvlxZ+eWXX9yjmW665NCbN0FFl5sze7ZMnzFdfjBBQfHKQQcfLM2bN5dmzZrLwWY4qPj/uKxPqOqTqokUDXCqWqWyaNCCFs2AtOG552X//fePu/qECeNl6gMPuMuNGXu/VK1a1R33D2gAxtixY5wgjN27c4IQ/MvtZbIv3dzmZml7220JZWKKdaNOb2gPGjjQuZnt3U8iafi9y0cbTieYQG8I6LmzZeKkyc4foe140Gs6+wvaXrRp6e5n1qyZMtwEl9hSoUJFmThpkh2N+ZqJdhKrjezcuVOGmm4CV6xYIXojOVrRmwm3tr1NmjRpIvvuu2+0xaJOz8S1791ZrGNM9Dq46MIyMQ28+/MOz5w1K+Ub397t7AnD6bb9aMcwd+5cGTL4Xnf2fvvt57zXBmViiXUu3Q0EDHzxxRfy2GOPypLFiyM+kwIWFX2f1a6irjNdksQqeoN9wYL5zueW3hyOV2rWrCk9e/YyN6GPjreoMz+MOmeq3eb1e1Gi12lCsEksNM1kVtDPZls6deosLVu1sqPOe2Ovnne64xpE/NBDkdkY3JlRBmK16U8//VR6332XvPnmm1HW/vu7SXdzI/iGG3JupEdd+J8ZmWy7sY7H1mu5CUy+665edtQJyNPsS0HZTtyFAgY0gLxmjerue/Nhphul1aufdr6veRcP41qy20vk+Oyy3tcw6+DdbrLDYdUjWYdYy2eqnfttnnnmGRk/7n7z4MCH/lm5xvVzqNsddzjdc+Wa6ZmQifdCz+YzMphOoMstN7eRl19+2a3XlAemJv1Qgf83Uvv2HaTNzTmB83bjv/32m3N92wAU/f21/plnRTPcxCt9+/aRpUuWuIvF+x3mLhhjIB23GJtNedY80213y5Ytc62v3XtpN1+JlHQChHT700wWyPbt2+falf7m1QdQKAgggAACCCCAAAIIIIAAAggggAACCCCQeYE9KkBIM41cYbrf8JalTyyTU0wGIH/RzCSdO3V0spP458Ub16CfCRMnOVkagpbVOmhdbIlWBzvfvq5Zs0a6de1iR51X3Y/+4TVeada0iXtDr4j5g/azz26I2u3If0y2oM6dOwU+gRltP5qVZMjQoaIZXGKVaDdkNDNS21tvkd9//z3X6vkdIPT666+bbEGt3G5bzjJZk2bPmSN77bVXrrp6J2QqeMG7Dx1Odz/9+vV1ghTsdps2ayZ33NHdjkZ9zVQ7idZGPjZPBmu71Bt3iRa9Nu4bM8bcnI0fRGe3mclr3+4j2jEmcx1kKtDC1rEgvKbb9qMdo2aI02BMb3DklCkPSNly5XKtEu1c5lrQM+Htt9+Sm83Nx59NwFuipXPnLnJTwI03u75mP+jXt6/8+uuvdlJCr5qRYsKEifLv88+PuXxYdc5Eu83r96JkrtOYqCnMrHPtNe57oAaOrVz5lBx77LHulvQGdvXq1WTn//7OYKOfU9plZDIZfaK16Q0bnjUBZT3dbbs7jTJQy3T3opnM4gVpZrrtRjseb7U1G1RN042gBirZkuj3K7u8vs413w2GmCBWW5o0bSrdu0dmzQjrWrL7SOT47LL2New62O0m+xpmPZJ1iLZ8ptq510b3fafJfOPN9uWdH224efMW0rVbt2izJVPvhVF3GNKMdAJdevXqKSuWL3dr0rtPH7n++hvc8UQG5syZbYLPh7iL1q59jQy6NydI2J1hBiaaLrAeeGCKO+nGBg1McOHd7njQgAZUtmjR3P0dUbxECVloMr/F+x0RtC3vtHTcvNsJa1i7D1u9enWuzWlgjgboJFLSDRDSfWiXsBtN1l9/0YyppUunlhnOvy3GEUAAAQQQQAABBBBAAAEEEEAAAQQQQCC6wB4VIKR/9O/geapQnwx//oUXcwXKPP/cc9KtW9dcN1o1Q5B2oVHyrJImEOZ4+eTjj+WDD96Xjz76yM3qYykOO+wwmT59hugfgf1lsMlMMc9kqLClV6+7pEHDhnY06muf3nfLE+ZGn7ckEsyhT7pWMTe7/zLde2m5tFIlGT9+gncz7vCzzz5rgkO6yS5zk9EWvbmn3aCdddZZcsIJJ5puaz6R981xv2u6GPHeQNfu1pYsfSJm105BN2SmPviQ1K1zbcSNuaJmW7+ZG92aySU/A4Q0UODGG643XY9ssxwybvx4qVSpsjsebSBTwQv+/aWzH33SvH7962TH99+7m03k+DLZToLayEOme6eGDW50A+s0Q9CZ5lo8++yznZvjH370oWhXIJ+Ytrn7r7/cY9GBmpddJiNHjoqYFm0k09e+3W/QMSZ7HWQi0MLWr6C8ptP24x3jDea6/9B0O2TLrbe2ldvatbOj7mvQufR2+eQu+M+AZopoYwIO9b3FFs1MVLVqNSdYVbuF2/rlVtGsGps3b3Jedbl4AUJ6w1JvXHqLdrN3+hlnmGvlTDn++BPk888+cwJFvdnQdHm9jmbOmh01C1yYdQ673eb1e1Gy16n3fKQ7/MYbr8tNLVq4m9FuTR+Y+qA7bgf6my5aFi1aaEeltcny16FDB3c83kBQmx42fIQ0bdLY+V6kN7WLFy8hpUqXktNOO122mLaq3YK+8+477vcMu4++/e6Jm/kqk21X6xF0PEHX6DAT5Dx79ixbdYkVJOAu5BtoarLWvfVWTnalhYsWSwnP98AwryW760SPzy6fiTrYbSfzGnY9knUIWj6T7dza6AMC7UzWTX1/9xa9rjSQT9+P9XfGzv/tlM0fb5ZNH22Szz77OzA6VoBQJt8LvfXMxHA6gS4PPfSgjLv/frdaifwuchf+Z2CwCQaaNy/nd1mVKlVk7P3j/Is54/rZ3UC/j27d6ozreetn3nPr1q0XuLx+L+1o3n/tOdTAzvtNfRP5HRG4Qc/EdNw8mwllULsAK1asWK5tVa9ePddv11wLeSaEESC0YMECE5CV81lpN9+7d2/p1SsnU5ydzisCCCCAAAIIIIAAAggggAACCCCAAAIIhCuwRwUIDR06xOl6xR7ixRdfIlMfjLy5ptlJGjduFPGEvKb179K1qzRq1DjwaU/N2KBPni5evMhu2nktV768TJ6c85SpnalPDN/e7jY7aoJ3ov8h2i70lwl6qFataq6uzk477TQJutFl19NXf+ahu80fSIO6/vj888/MH70bRGS1OMPcWNYMAGeYm8z+8tyGDdK7T++I4BLNcKE3sqOVoBsy1cwfjx+cOtXJMqBp/auYp0yLFy/ubELrtHnzx45RtG0mOj2ZYAL1Xrp0iUw2XW15sz1pJgDNCJBISWZ/iWwv2jLp7Kd9+9tFz6Mt0W442/n6mul24m8jGmSnWblsPfVpbc1wpF3s+cv//d//SXcT4ObvXmnGjEfiZkjJi2vf1td/jHodJ3sd+LNtNTPt8r333rW7kKdWrZYjjjjCHbcDGvCnN7SyoaTT9uMdv/+GYR3zZHz//gNyrRZ0LmO9JzcxQRZvv/WWu52q1aqJ3hArWvRwd5p34CXzFPz06dOd7EU33XSTd1bEsA2y0HNbt149k6HoFhPQeULEMnbk0UcfkbEms5a3m77+AwZInTp17SIRr2HWOcx2m9fvRalcpxGQaY7c069fxPeMAQMHybXXXptrq5rhqHWrlu70Y445RlY+tSpqAJi74D8D/jatwWX771/ECcDUQGDNFliuXHn/ak42FM2Kouvbom1QsyTGyiKUybar9fAfT7TvTR+YgEANCLZFg8LXrVufUDeuus7HJmi8Xt06dnWn+1rtxtZbwryW7HYTPT67fCbqYLedzGvY9UjWwb98ptu52mgXwS2aN3MC6rxWGrivny9HHnmkd7I7rJlPJk6cIP8+79+BGYQy/V7oViRDA+kEumg3bZ065gRAakbTaeYzM5nib4sXXXyxPGgeXohWNm3a5JxHbUO26Gd5s6bN5CwT4KVdjm02WS+fffYZmTJ5svzmeehCM0BpoFcYJR23MPbv3cYckz2tdevW3knO8FTz+65x48a5pkebsHDhQlm2bFnEbP2+P9k4JlP0d6T/t0B587v86aefTmYzLIsAAggggAACCCCAAAIIIIAAAggggAACKQjsMQFC+sd17cLKm/Gml0kJrwExtmhQSMOGDeSD99+3k+Skk0+W4ebJ+XPOOcedFm1g2bInZKC5yer9Q7A+gaoBQN6iNwi0+5qff/7Zmaw3obTLr1g30Lw3/E42XaJpJghbVq1+WvQGYLRy76BBMn/+PHe2Bg54uyTRGXrsTU03ZO+8/ba7XM2aNc2NwGGiAVLRigbPXHddPTeoaP/995dlTy6Xo48+OnAV/w0Z7ZJMHdRs5KhRoTxRG7hjM9EfTKABGRebmwC2/GkyLH219SuTseNzkyHpA/fpYJ1/sOmGp2uXrlL/+pybh3a9aK/+/XW74w5p1qx5tMVTnp7Kfr4xT/qOGjVSVqxY4e53b5NRa+7ceYHBYHahvGgn/jZi9603XAbdO9jpOsBOC3r97rvvnJtF2qWDLUHBgHaevubVtW/36T/GMK6DRua9S7N42LLW3NgOChCy87PhNZW2n+hxT33gAdP11nh3cQ1cHDs2J0uBneE/l9GCD3R57b5Is7nZLFf6+bLQ3AxLpAs8/dwICoqz9dAgi/Xr1ztdnSTShcZo8377yCM5wQsaDDp//gK7Ofc1k3XWnaTabvPjvSiM69SFTXJAPydr1qjufm/QrFN6jWs2NX/R7zlXX3WlfPnll+4szRqoQQiJFH+btuucfvrpMnHS5JjfNzTIRrNr2Dau6/bt20+uq1/fbibXa6bart2R/3hiXaP+QIHhI0ZIrVqX203FfNUsJprNxBZ/AFemrqVkji9TdbDHnOhrJuqRjIPW07+8rXum2rlu3/99XL/3d+zUyflumEjgrmZ99AcR5cV7obXJ1Gs6gS5btmxx3u+8dUvm/U67ZWvTpnXE70P9zTdr9hzvJnMNa3e0Pe/s4QROemfqedTPau9vQZ2v0zQ4qGHDRt7F0xpOxy2tHQes3KVLF9P12gO55ujvxEMPPTTX9GgTNGOrP7Bnb5N1qZTJZJtMuf32253gav86O3bsiPm71r884wgggAACCCCAAAIIIIAAAggggAACCCCQvMAeESCkmUHamKcat2//2j0CzUiyaPGSiBuuT69e7XSvZRfSgIkFCx6P6B7Czov2qhlnJk+e5M4+5ZRTZeGiRbmCf7qZjERr1uQ8xfjQQw/LhRdd5K7nHxg1cqRo1gctbU3XBNOnTXO7QIuV+UGXr137avni8891UEqWPEvmzssJFnImmv+tXbvGBMDkZP45+uhjTGaihTG7C7PrTpkyWSZNnGhH5frrbzCZhfq4496BaDdk7unfP2p6fu/66Qz7gwkS2ZYGR7Vu3cbJGpTMH7h12/795VWAUDvzR/Ebb7wx1+F9ve1r2WSeaNYsM/Pnz3eDunRBDVIbaoLBKleO3XVaXrSTaG2kU6fO0rJVq1zHFTRBu/3TLqK8N6m1Kx7NkBRU8vLa1/1HO8Z0roNUAy2CPArKtExeY3NNN5BDTHeQtkTLSuA/l7GCD9atWytdOne2mzTXaQO56+673fF0Braa7k408FNvpCVSvvnmG7nqyivc7jE1uHPjSy/nyi6VyTprPVNtt/n5XpTOdZrIuQlaRjMUagYhW666+monu58d979qd3MaeGNLjRo1ZdTo0XY05qu/TevCetN7umZi+/e/Y66rMzt37iTr161zl7v88itk2PDh7rh/IFNt1+7HfzyxrtHHTdc0AwcOsKuKZgUZM2asOx5tQIM09HqyGQf1+8LTa9ZGZB/K1LWUzPFlqg7RXKJNz0Q9knHQevmX12mZbOefmK6m6tWrG/G9RL8r63fmdEpevBemU79E1k030KWlya73+uuvubsqVqyYzDMBr7GCanXhnTt3yg3X148IptTppUqXlpkzc7ob1GlBZceO7033tw3c6z5oGTtt6LDhcsUVV9jRUF7TdQulEv9spFatWk4WOe829SEMDVxOpvQ3vweH+z4v9P3Uvrcmuq2ZM2fKLbfckmtxzeJ7/vnn55rOBAQQQAABBBBAAAEEEEAAAQQQQAABBBAITyBfA4S2mywpmtp90aKFotlhbNnL3EAdZzL7+J+mb9qkibz1Vk7Wkbp164neCEym6A2HK6+4XH766Sd3tX6m+5h69a5zx3Vg6dKl0td0z2VL6zY3S4cOOSny7XT76g3y0W7RxpobVrauV1xxpQwdNswuGvHqf7L2lltuFQ0g8ZfmpsuD/5rumWwJynxk5/lff/nlF6lRvZqb2UCzGWlWo6ASdENGg5FWrFyZK4gqaP10pvmDCRLdltavfIXyUr58BbnssssSrqd/f3kVIJTocdnlNFhOz7c+NR+v5EU7CWojmjVr4cJFST312/POO2XlypwMSbFuUuflta/GQceY7nWQaqBFvHO+J8/P5DW2Yvly6dWrp3v42s3ifBMw6i/+cxkr+GCu6YJjyJDB7iauvOoqMz7UHc/rAX+befrpNXKUL/tbpuvsr0Oima/y670o3es01XN8U4sW8sYbr7urayafChUquOP+Ae1y6Jratd3JmqlktTm/2kVYvOJv07p8Mm315ZdflltubuPu5rzzzpNHHn3MHQ9jwN9ugtqu3Y//eGJdoxowoJma9HuNFg0S1jYZL0DYf8wNGjY07x932So4r5m6lpI5vkzVIeJAExjJRD2ScdAq+pfXaZls5/369ZUlixfrbpxyZsmSMmfO3ISDOu16/te8eC/07zPs8XQDXTQovMGNN0T81jvrrLPl3sGDRa/3oKIZgPr27RORNdYul0h3u5qBc+yY+xIOXNnHPHTSyHS11bbtbXKIyUoaRknXLYw62G3odyRv1jqd3sJ8bk30PEBil431GlaAkHY5HPQZOWvWLNOdak5XkLHqwjwEEEAAAQQQQAABBBBAAAEEEEAAAQQQSE0gowFClSpVljJlyrg1+2v3X05acg2K0X+aNef3339359uBO3v2lEaNGttR51W7Japerao7rYjJpvDEE8tydcXlLhBjQJ/a16f3bQm6UaRPnVYzT6bbDCex0tlvNllfrjNPHWvRm1Tr1j8jk0ymoocenOpMK2pu+K1duy7wJsPCxx+XAQNygpxmmj+MlipV2lnP/k+7LNAAH1sOK1pU1pkbYolmotD1vDfr9Ansl8wNwqBuc4JuyCSTGcbWMZVXfzBBKtvQ86RPAZ9iAlbiFf/+9rQAoTIXXmiy7Nwo2pVcrG7k7HHmVTsJaiP+rlpsnWK9andb2i5tOfvss2W2uRnnL3l97ev+g44x3evAew3qPhINtNBlC2rJ5DXmf+8MI4PQK6+8LDe3yQmcOPKoo+TxxxdKUfOemx/Fn+ll2vQZcsEFF0RUJdN1TqXd5ud7UbrXaQRugiOaeaRunWvdpTWIa5XpKjTeZ3SLFs3l/954w10v0c+goPenhx6eJheaz4xEin99bedrTDadMEsibdfuz1+fWAFCuo5matKMTbb07XeP6Uo1MsjbzrOvfXrfbb4zPmFHZd68+aIBIN6SqWspmePLVB28x5nIcCbqkYyD1tG/vE7LVDvX3yKXVqwQ0e1UvMyhWp94Ja/eC+PVI935YQS6jDHBOppd1Vv0t1zdunWd7qk0g6oGSr7zzjtOsKUGa9mHR/SBEO81Hy9zmD/YS/epQfb6PaHkWSWd7Kvvv/e+k7FTgwe9v0U1KH+GycbmD8b11jvR4TDcEt1XvOU0+FS7QvWWu+66S+5OMktiWAFCem0E/Va733QF2dpkFaYggAACCCCAAAIIIIAAAggggAACCCCAQOYEMhoglGy19Y+y3bv3cLqM8K/r72IokadH/duw4//973+lebOmdtTJPDPJZDLyF29GAM1qtM50yVG0aO6n+x966EGT8eh+Z3X7dLNmEtD1bZk1a7acU6qUHXVfu3e/Q1avWuWM6006fcpeA3i8ZdWqp6RH9+7upCuvvFKGmO6mkik9enSXVU895a6yaNFiKV6ihDtuB4JuyGiXZ/qH+0wXfzBBq1atpY65ceAtmj1AM099/fU2J8jsyWVPRnRNp8sedNBBMmLkKKlYsaJ31VzD/v0lenM214biTPDvJ87izuzzTDcxw4ePkOOOOy6RxZ1l8qqdBLURzdyiTycnU3bt+k3Kmi7Fdu/e7aymwXUbnns+1yby49oPOsZ0r4NUAi1yYSQ44bfffou40ZnIagceeGBCgWiJbMsu42/7YV5j3vdd3V/16jVk9H332V27r/5zGSv4YMeOHVLrspoRN9Gca9EEHR53/PHuNjM5oF0haVcdn3/2mTxostHpjXpbRo4a7QQM2nF9zXSdU2m3+flelO516rVNdHjs2DEy7eGH3cWbN28hXbt1c8ejDSxYMF8GDRzoztYb2AtMQFq84m/TunyyAYfly5V1s/DEChqOVxfv/GTbrl3XfzyxrlFdRzNPtDBZFW25+OJLRDM3RiuabUgDzG3WodKlz5XHTPc2/pKpaymZ48tUHfzHGm88E/VIxkHr519ep2Wqnb/++uvS8qac7+waPKZBZOmWvHovTLee8dYPI9BFr79OHTuIBuQkU/RBE/090L59TnbV2rWvkUH35nQx6t2ePxBJv9t07NRJGjZslOv3la73wQcfmCCZu+RD82rLGWeeKdOmTU87k1AYbrZO6bxqAFRQoPO9xrCzp1vVRPYRVoCQBisFZcwbbLJKdTLni4IAAggggAACCCCAAAIIIIAAAggggAACmRPYIwKE9jdPkLYyTwu2bNkyMKuNHr4G4OgNYVuuq1/fpJ7vZ0eTevU/0auBSU8uz+nqyG5Mb/jpjT9bNDPNFVdcYUfdVw020qAjLSNGjJTLatUSvVFWtUpl+fHHH53p7Tt0lDaezBQ6UZepVrWK/PDDD84y2s2ZdnfmL/4/dleuXEX+ff6//YvFHN/w7IaI7k/GjR8vmuHJX4JuyDxj1j3ssMP8i4Y+nkowwR9//OEEPt0/7n75autWt07azcziJUvk4IMPdqf5B1LZn38biYz791O2bFnRG5RaNKvWNybgSTNQvPnmmxGb05saIzXQ6dJLI6ZHG8mrduJvI3ubbhk2bnzJXLtFolUt6vSaNWs4x28XeHbDc86T3XZcX/Pj2vcfo9Yj3esglUAL3W8qZfDge2Xe3NzZmGJtK5UsULG2p/P8bT/MAKFRI0fKo48+4lbh+utvkN59+rjjdsB/LuMFH/gDj3Q7muWgYYOGotnm9PMijKLv/++++45z3X/26Wfyucmop91OaXY9bzYD7770/aCm6UbRXzJZ51TabX69F6lLutep3zbeuGa4uPzyWhHvY0HZaYK2o12danZAb1aHRx+bKeee+/fnQ9A6Os3fpvXzWY87mXLtNdfIZ5996q6i3Zsd7eu+zp3pGwiz7eqm/ccT7xrVda6rV082b96kg6IB3JqxKVr9ly17Qnp7smTEyjiUiWsp2ePLRB0cqCT/F3Y9knXwL5/Jdu4/1lhdnibDmFfvhcnUKZVlwwp00YDwWSY4b+z9Y2WXCWSOV/R3ypChQ831vUoG9L/HXbxps2Zyxx05D07YGU8//bTc0a2rHXU+u/UBjXhd9OpnbqeOHeWFF5531611+eVOoL47IYWBsNxS2HXEKuoe1G3aQBOg2rVrjlfESlFGwgoQ0oCxo8yDMf4yYsQIadeunX8y4wgggAACCCCAAAIIIIAAAggggAACCCAQokC+BAhp2vZTTz1VihUr5vyrWfMyOT5Odgbthku7lLEl3W5Eyl5ysZthQwMcXnrp5VzZMz42XYfV+6frMN3vtXXqmO7Acp7212nffPONXGaCHPSPrxogod2L2aCUO3v0kKeeWqmLyYUXXWQCnHIyDOi0d95+Wxo3bqSDThkzZmxg9iR/dxp2+XRee/bq5TxN69+G/4aMBqm8aII/8qKkE0zw4YcfOhkFfv75Z7eqTZo0le7mHEQr6ewv2jaDpie6H20PQ4cNlf+a7Ai2aNdikydPcdqPnRbtNa/aib+NRAuwi1ZP73R/FztBmbby49r3H2MY10EqgRZeq2SGC0OAUKuWN8lrr73mskT7TPCfy3jBBxr80KVLZ3lm/Xp323ZAM61UqFBBGpv3Fn31Z3uzy8V6XblypfO58Oorr4gGiCRTogUIZbLOqbTb/HovCuM6TeZ86LLPPvusdOzQ3l3tpJNPlqlTH5TIPIDu7FwD95ib3htffNGdXv/666VPn77ueNBAsm06aBtNmzSRt97KCUpdtfppOeaYY4IWdadlou3qxlM5nscefdQE0I5w66bBAho0EFRuvfUWeWnjRmfWQSZoWDM1aqbBoJKJaynZ48tEHYKONd60sOuRrEOyywcdT6LtfOjQITJn9mx3E7fe2lZuCyFIIa/eC92KZ2gg7EAX7Zp5isnc+o4JktXupm0mSVt9DaKvf319qVOnrtNV4+TJk2Sy6brZFn2YQh+q8Jcbb7xBPnj/fXdytO8F7gKeAX3IQH/z2Uxj+vm+cOGiwGyrntViDobtFnNncWZqRlL/d44uXbrIoEGD4qwZOTusACENij7rrNzZaadMmSJNm+Zk+Y3cO2MIIIAAAggggAACCCCAAAIIIIAAAgggEIZARgOEWrduY/7YWi+inocfcYQbQBMxI85IN/OE45o1T7tLRbtR6i4QZ6Bu3Tryyccfu0stWfqEE7TkTvhnoHbtq50/Xuuo3jzTm2jeokFLGsCg5dJKlWT8+Anu7CeeeEL69L7bGd93331Fs6N4b0p5n1jWDBXPmgwABxxwgLu+HejcuZOsN92bhVmi/dHcf0NGA7nUJi9KooE00eqy1GQM6ts3J4OIZqbS4Ka9TXaBoJLu/oK2GTQtmf38+uuvojcU/vPqq+6mNKBu/vwFgan43YXMQF61E38biRdw4a2jf7hNm9aigRK2TJs+Qy644AI76rzmx7XvP8YwroNUAi0iIJIYGTJkcEoZhK4xWUXCLMm0/WT2q9dJpUsrRmTamT1nrpx99tm5NuM/l4m219mzZ5kMSPdFzXJQrHhxJ+vdtdfWSShQaKu5+ThwwICIDAW5KvvPBA02PfGkk+QXE/Co3Y3ZEu9zL+w6635Tabf59V4UxnVqrRN97WpusK5duybRxeMud/Ahh5jvOmsDvwvYlVNt03Z9fW3WtElE1rpYAUKZbrupHI92gaXB2TbblnbhqgGm/rJt2zaT+fFy2W0C/7QkEoCly4V5LaVyfGHXQbeXagnLIlmHZJcPOr5E23nPO++UlStzMokOGTJUtMvgdEtevRemW89462cy0EW7Dn7vvffk22+/MVnAjpETTjhBjj322Igq9TeBlIsW5nS/OHPWLClVqnTEMs9t2BDRDZl2C7rcZIeN9hsgYuV/RvyBSNdce60MHJhcAI13u5l08+4nkWH9bq3dqXlLHfPgyyxjmUwJK0BovQnCvvrqq3PteunSpVKjRo1c05mAAAIIIIAAAggggAACCCCAAAIIIIAAAuEJZDRAKMzuZDp16hiR0WG4SUFeq9blKUtcfdWVTlcudgPLlj0p+uS/v+gT6vqkui0LHl8Ykaq+Y4cOJrDnGWe2PvWvN59s+e6775zuQ+yTsWPvHydVqlSxs+Vm0+XYK6+87Iz7g4vchcxAr149ZcXy5e4k/aP3ITG6znIXjDGgT9rXrRsZvKWLh3FDJsZuY85KN5jA33Wc7ky7jovWJVC6+4t5MJ6Zye5HsyDpU9D6VLUtiXR3kVftJMw2Uvvqq+SLL76wh+kE4PmzWOTHtR/mMdqDSyXQwq5bUF+TbfuJHuczzzxjugPp4C5+hAk8XbN2XWCgTjrnUjPEzTY3z+bNm5vryXu787Llykn/e/qLvi9HKxpgcb3JhrDzf/+LWEQDQjWwQbuUKmYy6p1sPoNOOulkJxhVb2qOGDFcZj72mLtOvAAhXTCsOtudptJuC+J7kT3eZF71M77WZTVFu7oMswwcdK/ECtZLp03beiYaOJEXbTfV4/FmadTjCgr0fvjhh+T+sWPtYcus2XPknHPOccdjDYR1LaV6fFq3sOoQ6zgTmRdGPZJ1SHb5oONItJ37A3lGjhotNWvWDNpkUtPy6r0wqUqlsHB+B7rc3u42ef75v7v/0i4FX3xxY64gytGjRskjj8xwj07Pn57HZIr+JtPfZrZo1p2VT62yo0m/5rebt8INGjSQZcuWeSc5D8a88847EdPijYQVIDR69GiTLS/noQ6733fffVdOOeUUO8orAggggAACCCCAAAIIIIAAAggggAACCGRAoMAECPXr11eWLF7sErTv0FHaeP6I685IYEC7Tbj4ogvlzz//dJfe8Nzzcuihh7rjdsD/x2Jv0JOmoa9SpbKTYUJT0a823VYcddRRdlXnVbsQ066jtDRs1Eh69uzlDPszYNx1d28TFHKjM8//v4kTJsgDD0xxJ0frHsxdII2BMG7IpLr7MIIJLjM3BLZv/9qtwrjx46VSpcruuHcgjP15txdtOJX9aNdJrVu1jOh2Idax6L7zqp2E1UY0cO6Siy9yM0BoFi3t6s/fbVN+XPthHaO3TaQSaOFdvyAOp9L2EzlOf9d0Qd0/2u2EcS41aE9vrD2+YIG8//57dtPu6+GHH+5k+dJsX0Gl3W23RWQO0mDUW26+Ra4yT89rdrloJZUAIbutdOtst5NKuy1o70X2WJN91ZvRelM67FLmwgvl4YenRd1sGG060cCJvGi7qR6Pdhum3YfZ0tZcZ23b3mZHnVftMki7i9WiGcY001iyJd1rKdXj89Yz3Tp4t5XOcDr1SNYh2eWDjivRdn6fCVaYMWO6u4mOnTpJq1at3fFUB/LqvTDV+iW6Xn4GuuhvNs0Wpg8BaClZ8iyZO29erqp3aN9eNmx41p1+++3t5eZbct4f3BkxBjQzWVXzu84W/T76/AsvRmR/tfMSec1PN3/9hgwZEtid2EsvvSSlS0dmY/Kv6x0PK0DoWpOdac2ayOx7+oDAx57svt79MowAAggggAACCCCAAAIIIIAAAggggAAC4QkUmAAh/43mWDeE4/HoE/FXmi4nbNGuqDYGBCbofA0i0j8W//TTT87i5ctXkEmTJzvD2q2Idi+i5bx//9s8uZqTaciZaP43aeJEmTLl7+W93Z/ok7D6RKwtT61anSulvp3n7apMp914YwO56+6/uy6zy4T1GsYNmVTr4j/H3mCsRLdZ/7p6smnTJnfxocOGm+5FrnDHvQNh7M+7vWjDqe5n2NChTjcndrvHH3+CLFy0SA488EA7KeI1r9qJv40caYLitEucZMs327ebJ/RruKuVKHGac3zuhH8G/H55ce37jzHRbqn8dfeOpxJo4V2/IA77z10q17T/uDdufFHa3nqrO1mzCTxuMruVKFHCneYdCPtcvvrqK05Gkv/+97/e3cjFF18iUx54IFd3Jv5sR3q9zJ07L1cwacTG/hnRLhO160RbEskgZJf1viZbZ++6qbTb/HovCuM69R57vOHrTBeqmzfnfN5oBsGTTQaoZIt+v9AuR23Rm9JLTRelJ598ip0U8RpGm04kcCKv2m6qx6NBppqFbsuWLY6P9zuWTtDgbA3StuXu3r3lhhuCA7HtMvFeU7mWUj2+aHVJpQ7RtpXO9GTrkaxDsssHHUsi7VzXW7JksfTr29fdRJ26daV//wHueKoDefVemGr9El0vPwNdtJ21aZ0TrBXtARH/+3GvXndJg4YNEz1EZzntsrBs2UvkL88DJI8vXCT62ZJKyU83f303mC7Ygn4P9ezZMzCTj399Ox5GgJBmDi1ZsqTdpPtav35981v6EXecAQQQQAABBBBAAAEEEEAAAQQQQAABBBDIjECBCRBauXKl9Lyzh6tw/vkXyPQZOank3RkJDPj/2Kw3dqc+mHNzzr+JXj3vlBUrVjiTNZhow3PPSZEi+4v35m3nzl3kppYt/avKm2++KXqDwpblK1bKCSecIKNGjpRHH/37j6DRnoa167zxxutyU4sWdlQuvOgiczPxYXc8zIEwbsikWp90gwl27dol5cuVjcgMtWjxEilevHhgldLdX+BGAyamuh89F3WuvcZ9alo33bx5C+narVvAXkTyqp3424hWZr3p8qlo0cMD6xVt4vPmOtKbJ7ZUrlxF7h83zo66r/lx7fuPMYzAg1QCLVyEAjqQatuPdriaQaBxo4aybds2d5FrzFPoAwcOcsf9A5k4l7qP4cOGyaxZMyN2N8cE/px11lkR07R7I+3myJZkMsA1bdJE3nrrTbuqpBogZDeQaJ3t8vqaSrvNr/eiMK5T77HHGvZ/th9kuv1ct2696HeEVIo/uLV16zbSoWPHwE2F0aYTCZzIq7abzvFMNUF5EyaMd528XYgNHTpE5sye7czTwNqnTSDrwWl2z2p3lMy1lM7x2f0FvSZTh6D1w5qWaD2SdUh2+aDjSaSd63oa8Nm8WVN3E+n8xnA3Ygby6r3Qu89MDOdnoEv//vfIooUL3cOK1iW0P7PgjaZLrbvuSu5hCs0Q2MCXzXXV6qedbj/dCiQxkJ9uQdUsVqyYybK6PWKWdqPmfbAiYmbASBgBQgMGDJBh5juUv0ydOtUEdTb2T2YcAQQQQAABBBBAAAEEEEAAAQQQQAABku9eYwAAQABJREFUBEIWKDABQv5sI5o1Yq7pKuLMgCcQ4xn1v8f8sXlRzh+bb2vXznRT0Tbqav4ABc0gVLZsOalevZrs+P57Z73FS5aK/uHVXzQ1vne5Pn36imYZuOH6+vLhhx86i99yy63S7vbb/au64998843UrFHdHT/kkENEMw6FdaPL3bAZCOOGjHd7yQynG0zw1ltvSdMmOX9YPuigg+S551/IldHD1ind/dntxHtNZz/+p8/32Wcfk1VoTmC7z6t24m8jevwPTH1QLrnkkngUEfPbtr1VNr74ojtNA+w00M5f8uPa9x9jGIEH/kCLNWvXyZFHHuk/3KwaT6ft+yF+++03ufnmNvLf//s/d5be9Nen+zXoMlrJxLm0+2pi3m/eNu87ttzTv7/UrVvPjjqvnTp1lGfWr3enaXCnBnnGK5odpWKF8qJd+tiSboCQbieROtv96Wsq7Ta/3ovCuE69xx5reODAAU6Xc3aZeIFqdrlor/7uyrSrlZVPrQr8/AqjTScSOJFXbTed4/n6669NVozL3YwfzZo1F81U9scffzgZ6ux3tLAywnjPX6LXUjrH591f0HCidQhaN8xpidQjWYdklw86nkTaua63c+dO5/3WbmNv811LM72dccYZdlJKr3n1XphS5ZJYKb8CXT7//DOpZ7I56fWs5dxzz5VHH4sMzLWHcWePHvLUUyvtaEoPUyxb9oT09mRo1S5ANcNsrK5A3R0GDOSXW0BVnEndu3eXiSazrb8MHDhQunbt6p8cOJ5ugJAGeJ9zzjmiXW17i36f08xCBxxwgHcywwgggAACCCCAAAIIIIAAAggggAACCCCQAYECEyCkx968ebOIm8Nly5Y1XbpMTYpF/9hct04dN8uMBhotMcE9p5wS3JWHbly7/9BuxrS7MS2axaVa9erS8qa/s/oUMxlqFptMNdHKXXf1kuVPPunMrlmzpvQ0ae+9AT+PzZwlpUuXjra6M71unWvlk08+cZeJlUnGXSiFgTBuyKSwW2eVdIIJ9Ny0bHlTRPu44IIyMm369KjVSWd/UTcaMCOd/WiQwE2mnf3fG2+4Wy5d+lx55NFHA28c50U78bcRrVjFihVlwsRJbh3jDbz77rtO4IFdbr/99pMnnlgmxx1/vJ0U8ZrX177/GMMIPNDsBN5uqRYuWhy1W6yIgy/AI+m0fe9h6/t2N5M564P333cn63v3faPvk6rVqrnTggYycS7tfjRziWYwsaV1m5ulQ4cOdtR59QaD6oR58xfImWeeGbFM0MiTTy6Tu++6K2JWGAFCidTZu9NU221+vBeFcZ16jz3asN7YrGGCdneaLG+2TJ4yRcqVK29Hk37V7Fi1Lqvpfs/QDYwbP14qVaqca1thtOlEAifyqu2mezwdzTX37LPPOE42sOpZk9Wuc+dOrt0jjz4m5513njsexkCi11K6xxerronWIdY2wpiXSD2SdUh2+aDjSKSd2/X8y2rQswY/p1vy4r0w3TrGWz8/Al30+29nDbA117Itsd5n9cEPfQDEFv1eqZ+30bKI2uXsq+6vlQlUf/311+wkKVuunOkmOucz3p2R4EB+uMWqmj5Iob+d/aVIkSLy6quvJtSVWroBQm3btjUZdHN3yX3bbbeZLIkj/VVjHAEEEEAAAQQQQAABBBBAAAEEEEAAAQQyIFCgAoT0j8SdOkbefL1vzBipVi0nu048I293Ybpsrcsvl+HDR8RbTW4xmStefvllZ7kyZcpIhYqXyvhx9zvjrVq1lo6dcm5E+Te2Yvly6dWrpzP56KOPMQFCvaRb178zpRx51FHy9NNrZK+99vKvFjG+ft26iJtd+jTrfP3Dd4kSEcvFG/n000/l1FNPjbpYGDdkom48zoxUgwk0S9Po0aPkMd8fnAcMGCjXmmCwaCXV/UXbXrTp6e5Huzxo1KiRmyFB99PLBJk1aNgw1y7zop3424itxJChw+TKK6+0o1Ff9Xx1Ml3nbNjwrLtMo0aN5c6ef18j7kTPQF5f+/5jDCPwoEeP7rLqqafco4p1o8tdqIAPpNv2NXvOwscfl0mTJ0UEYyhLl67dpIWn68VoVJk4l3Zf/uMbZQKWatSoYWc7r/4sLAMH3SvXXHNNxDL+EQ1K1e4Fv/vuu4hZYQQIJVJn705Tbbf58V4UxnXqPfZow/4sE/o5vtp0Q7O3CVpLp+j3G+/N8Bo1asqo0aNzbTKMNu0PhgjqRiev2m66x+Nvaw89PE3mzJktq1etcuw0C8z8BY/nckx3QqLXUrrHF6ueidYh1jbCmJdIPZJ1SHb5oONIpJ3b9d555x0nw9pu8x3FljDec/3tM1Pf322dM/GaH4Eu4+6/33SnnBOgVfHSS013grmz39jj/d5kdL3qyivkl19+sZOkzIUXOl0yx/uNpSvoe8bQIUPcdXWgnwk4qlfvuohpyYzkh1u8+t10003m9+P8XItVNw++aNbSeEV/R37++ecRi2l20/Ll4wfITps2Tdq3bx+xrh3RbjtLJPmb1q7LKwIIIIAAAggggAACCCCAAAIIIIAAAggkJ1CgAoT06c7WrVrKa6/lPN2pT4h2MMEG2q1ErD8A643mQYMGupl8lOmggw82fxCeGzN7kOWc+dhjMmLEcGf0iCOOcP7o/PTq1c64prvXtPfRyo4dO0wQU1WxNx0aN24is2b9nSJf//Csf4BOpLTSY//Pf9xFTzzxRNEgmES6q/nss8+cIJrvTJYCfZI+Wgnjhky0bceb7r/BpN2E6HmNVfRm6rj7x8pHH30UsZjegNcb8bFKKvuLtb1o88LYz5Ahg02XenPcXRxsuplbYrJWHXX00e40O5DpduJvI3a///rXvxzzKlWq2Em5XrUbjx7d75Dnn3/enafdCSx7crkcZW6yRyt5fe37jzGMwIMxY+6T6ebmiC3X1a8vffv2s6NZ+ZpK29ebe9qN2IsbX3SCg3788ccIG80cdHu726XNzTdHTI82ksy5fHDqVNm1a5e0MDfQ4nXhqJ8pjRs3kk8+/tjZtX7+rFv/jBQtWjSiKv7MGhqgOdt87mgXiEFlx47v5S4TAPjCCznXiF0u6GZ1Jups96ev6bTbvH4vCuM69R57tOE2bVrLq6+84s5u0rSpdO/ewx1PdWDt2jXStcvfwcO6DQ0kWG0CiA8//PCITSbTpiNW9IwkEjiR6bZrq5Pu8WgGwVq1LpNvTXesWlq2auV0/2bfOzT4VINQ45VMXUvJHF+m6hDv2P3zM1GPZBy0Psku7z8GHU+knXvXGzZ0qOnGdZY7Sa9B7QL4pptaxg0AfGnjRtnxww65/PIr3PXtQKbfC+1+MvUaRqDL1q1b5fgoWSK99d616zcZc98Y93eSztPvvDNNttVixYp5F8017M8ipAvUu+46ueOO7lE/0/X75aKFC83DIsMiur3STDuTTfYg/WxPtYThluq+o62ngXAXX3xx4GwNHpowYULgvHQnrlixQq43XWwHlS7mc2/QoEFBs5iGAAIIIIAAAggggAACCCCAAAIIIIAAAhkQKFABQnr827dvlwY33pArs0KFChWldZs2UrJkSTnE/CHZFu224+2335ZRI0eIPvXoLcOGDw/8Q753GTv8xRdfSO2rr7KjUmT//WXXb785ARqaOSDeH5C93bQceOCB7hOuY8aMjdtFjt3pO+Y4mjRpLPrHbFt0vw0bNpIbbrzRCXTSmxm26LFr4Mwz69fLvHlz5Y8//nACmTSgKVoJ44ZMtG3Hm+4PJtCgq9PNk//+olk1tpjzsWXLFtfRu0yJEqfJzFmzRJ1jFf/+EglIirW9aPPC2I/e6NSMIvqEtC2X1aplgtZyp+PPdDvxtxG9ea03aO3N2BtuuNEJsNAANntdaNCDPh081mT88gdzxcvAZY83L699/zGGEXjg7zJKu3S46+67pW7devYQRbteO/LII0W7ycmG4m/7Qdf07r92mxvBP5kbqz/IDtO+PzYBN7Y7R79BUdPWhpobuMl05ZTMuRw7doxMe/hhOcwE+bRs2UoqVKhgbkieKkWK7B9Rlddff13GmQxy3oDN88+/QKbPmBGxnI78x3Tb0bp1q4jp2tVRz5695JxSpdzpGhj14osvyL333usEOmjg3PkXXCAbX3zRXSYoQCgTdXZ3aAbSabd5/V4UxnXqPfag4S9M5oRrrqkd8Tk8a9bsiHMZtF4i0/Qz+rKaNSLe54M+l5Jp09H2m0jgRKbbrq1bGMdz/9ix8vDDDzmb1ODvn00wqpb9zXc1DbLSANZ4JVPXUjLHl6k6xDt2//xM1CMZB61Pssv7j0HHE2nn3vU0iLmO6dL3G/Nbw1s0E03btrc5vzEOO+wwd5YGiurn9kMPPugEdeoybU1XSf6S6fdC//7CHg8j0KVa1SpO95r6HbGcyTbj/a2m9dXvkCtXrnQCg2zgrU7X3zWaOUi7+0qkdDdB6DZ7mF1ev1PpuSlVupTpcqyE6MMlX375pXzwwfsm8GhmRMCnrqPfARaYrGNHBwTh220m8hqGWyL7SXaZwYMHO981gtbLRJDQkiVLTEB1cJDm6aefLv8xD794f78G1YtpCCCAAAIIIIAAAggggAACCCCAAAIIIBCeQIELENJD1z+0dzBdcdinxf0cGphwnHlK9ePNm3MFEumye++zj9zZ487ALpr82/KOX1evnmzevMk7yTwNeYP07tMnYlrQyAMPTJGJvqcyNcjomWeejRvI4t3elCmTZdLE4BT7+sdVzU6hNy82mWP/wWQu8he9QV9QAoT8dU9k/JJLLnGyspx08slxF/cHLwTdiI27kQQWCGs/ixcvknv6RWacGT9+glxaqVKuWmSynQTdtOva7Q7TbcDtbpYsrZDe/Dn99DPkm2+2iwbYBRXNNjRy1GjnZk3QfP+0vLr2g47x8YWL/NVJalxv/terV1c+N9m8vOXQQw+Vk085xQmO0SfsHzM3q0qVKu1dpMAO+9t+qgei7221a18jt7VrJ8cee2xSm0nmXNqb4t4daMYi/Uw58YQTnBuYX3/9tWjwpbfo+652axQtC9aAAf2dbEjedXRYb1rqudfPsk9Nu7BZ5nRe/wEDzM3LD0Sz19kSK0DILqOvYdTZbi/ddpvX70XpXqf2uKO9jh8/TjS7ii2a0WLxkqV2NO1XzVToPedBQU/JtOloFUo0cCKTbdfWLYzj+fzzz+RakznQG0Ct29f3jUEm6C6RkqnrP5njy1QdEjl+7zKZqEcyDlqXZJf31t8OJ9rO7fL6+sYbrzvdoP5gglaDin4G6fv2lyZIXT+zvW0uWoCQbieT74VB9QxzWhiBLlVNgJAGAdui331OPPEk2f+A/WXbtm2y3Xy2+oODNZC6v8mUemUC3dfa7WoXnU3NwxT+h0LsfP0NeID5/aXBXUFFg4dGjBwlVatWDZqd1LQw3JLaYRIL165dW9aZ7quDinY3NsYE9OvnT7plxIgRcs8990TdzNKlS3N1zRp1YWYggAACCCCAAAIIIIAAAggggAACCCCAQCgCBTJASI/8K/NHeX1KVLOSJFOOPvoY6WeCLIKCKuJtx/uEul12wsRJUrFiRTsa9VUDG7Q7Gm+peOmlzlOx3mmJDM+fP09Gmj+4/mYyGCVTipcoIe1uayeaeSZaCeOGTLRtx5ueTjCBBgR169bNdOVWPd5u3Pn+/e3pAUJ6E0ozUXnb/AkmaGHhosWi2Ub8JVPtJFob0T/yazd+mlkrkaKZczS4LtmnhvPi2o92jIkcV6xltAshbafeQBD/8pr9igChv1X0Kf6rr7pamrdoIccdd5yfKqHxZM5l0E3xeDs55ZRTZarJHhErcElvRLZu1dLJNBFve3rzsnPnztK8eQunW0tvsEiiAULx9pFInb3bSLfd5vV7kbfuYQ7/9ddfcuUVlzs3s+12NWjt1lvb2tG0Xz94/3250WRJ9BZ/N6bJtGnvdrzDiQZOZLLt2vqEcTy6rZtNFslXXnnZbtZ5fXjadClTpkzEtGgjmbr+kzm+TNUh2jFHm56JeiTjoPVKdvmgY0m0nfvX1W55u3XrKh+aIM1kSvv2HWJ2f5mp98Jk6pjKsmEEuvgDhOLVo2TJs+Rek+lGM8wkW7SbsodNNkDNCJjMbyX9Pdfjzp7OwxbJ7jNo+TDcgrYbxjQN3L/ssstE23pQ0eCsPuY7eteuXYNmx5223mSv1YyPGzZsiLqszu/QoUPU+cxAAAEEEEAAAQQQQAABBBBAAAEEEEAAgcwIFNgAIcuxZs0amTF9mrz51lsxb7rrDdHrrrtOGpkU59rlRCrl/954Q1q0aO6uqt1YaAYgfdo0XtHgjpo1qkdknrjr7t7mRuCN8VYNnK9P22omoVWrV7ldaQQuaCZq1qBWrVubp2GruV0+RVs2jBsy0bYdb7o/YCfa8vpH61PM09vFihc33f8Uc7LU1KhRI6Hz4N2mf397eoCQ1v2dd975u5s5c6PalhY33SRdugT/AT8T7SRWG9Gb26NGj5KXX3op4ql6W1cNftCbte3a3Z7wTVu7rv81k9d+rGP01yPZcX0f6du3T+DT7freNHvOXClhgvmyofivsaBj0mw32v1PUZP5TLsQ0y49LrigjFx80UVyxplnxn3PCtqmd1oy5/Krr76SJUsWy5PLnjQ3zSK7pPRuU4e1y5nGjRpLNfOk/T6mXccrGlwyf948ExQ63u2Oz7+OHvftJhPXRRdd7MzyZ5MJChDKZJ299Uu33eb1e5G37mENP//883J7u8jug5aZtpJIxrpk6tCwQQN577133VWuq1/fyYxnJyTTpu06/tdkAicy1XZtncI4Ht3WiuXLpVevnnazokHRi0wAbaIlU9dSMseXqTokamCXy0Q9knHQeiS7vK279zWZdu5dT4e13T/55JPyyCMzYgYK6WeYBpbceGMDudQE/u9txmOVTLwXxtpfGPPCCHTRLKrLVywX7aYxWtFuabW7Ts1uU6du3aQDyP3b1QxPY+67z+n+TTMLBRUNUtdsl9o1XNWqVYMWSXlaGG4p7zyBFbVrr7rGWbtujlaONxl5W5gg7Xomi27p0rGzW6rxsmXLTDdxs2Tt2rXRNulMv/POO83nWt+YyzATAQQQQAABBBBAAAEEEEAAAQQQQAABBDIjEGqAUGaqmNhWd5jutF599VXnyf7vv//OSVN/uLnZfOSRRzp/bNYuYrKxaPcv2h3Cpk2bRY/7119/dTJtHH/8CaJ/1NXjPtgEMlEKt0CY7SSRm3ZbTNcbeuNhmwm42PnzTuc61O6ULrmkrOh1GWYpiNf+77//7nRXuHnzx87NMg021Aw55cqV43oNs3GksS3t3mvLli/k66+3m39fy74mCOi4449z3ldPPvkU5701lc1rRpZNmzaZALFP5LNPP5N99t1Hjj/ueCltAjnTDQzLVJ3tcYbRbsN8L7L14jVvBDLZdsM4As3Ocu+gQe6m0gn6zfS15FYyxsCeUAet3p5SjxhUGZ+lnwH/Mb8xtpsuUzWY4sADD3Tet7U74+ImWF0DW5MthfW9UNvTRx9+KN98+43pXtN017mXdrd5rBxrviOeU6qUaGbMTJTt27fLZvPZ+5H59/POnU4A4WkmiFC7i0s2k2Um6pdf23zttdfMgwdNomYS8tZLu1M9//zzna7HjjjiCCeAWz8X9Du/PsDw8suRGdy863qHe/fubYI5e3knMYwAAggggAACCCCAAAIIIIAAAggggAACeSiQNQFCeWjGrhAo1AKJBAgVaiAOHgEEEEAgzwXqX1fPCb7THWumwVWrV0vRouEGpOb5QbFDBBBAIMMC2t1Y27ZtZd26dRndk2ZbnGAySTVr1iyj+2HjCCCAAAIIIIAAAggggAACCCCAAAIIIBBbgACh2D7MRQABnwABQj4QRhFAAAEE8lXglVdelpvbtHHrcMUVV8rQYcPccQYQQAABBGILDB48WO69997YC6U4t7rpjnXo0KFSymSJoiCAAAIIIIAAAggggAACCCCAAAIIIIBA/goQIJS//uwdgQInQIBQgTtlVBgBBBDIaoFuXbvKmjVPu8c49cEH5eKLL3HHGUAAAQQQiC/w9ttvy4gRI2T+/PnxF05giTPPPFO6dOkizZs3T2BpFkEAAQQQQAABBBBAAAEEEEAAAQQQQACBvBAgQCgvlNkHAlkkQIBQFp1MDgUBBBAo4AJffvml1K59tfz155/OkZxjMlTMmjW7gB8V1UcAAQTyT+DNN9+UGTNmyIIFC2T79u1JV6RmzZrSuHFjadCgQdLrsgICCCCAAAIIIIAAAggggAACCCCAAAIIZFaAAKHM+rJ1BLJOgAChrDulHBACCCBQYAX69L5bnnjiCbf+948bL5UrV3bHGUAAAQQQSF1gw4YN8txzz8nrr78uH3zwgWzdulX0t4CW/fbbT4466igpXry4031YuXLlRLsTO+aYY1LfIWsigAACCCCAAAIIIIAAAggggAACCCCAQEYFCBDKKC8bRyD7BAgQyr5zyhEhgAACBVFg1aqn5M4775Tdf/3lVP+cc86RWbPnFMRDoc4IIIBAgRH4y7zn/vHHH1KkSJECU2cqigACCCCAAAIIIIAAAggggAACCCCAAAJ/CxAgREtAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQCCLBQgQyuKTy6EhgAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIECAEG0AAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIEsFiBAKItPLoeGAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAABQrQBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQSyWIAAoSw+uRwaAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIECNEGEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBDIYgEChLL45HJoCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggQIEQbQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAgiwUIEMrik8uhIYAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCBAgBBtAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBLBYgQCiLTy6HhgACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAUK0AQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEsliAAKEsPrkcGgIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACBAjRBhBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQyGIBAoSy+ORyaAgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIECBEG0AAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAIIsFCBDK4pPLoSGAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggQIAQbQABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgSwWIEAoi08uh4YAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAFCtAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBLJYgAChLD65HBoCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgQI0QYQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEMhiAQKEsvjkcmgIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCBAgRBtAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQCCLBQgQyuKTy6EhgAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIECAEG0AAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIEsFiBAKItPLoeGAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAABQrQBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQSyWIAAoSw+uRwaAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIECNEGEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBDIYgEChLL45HJoCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggQIEQbQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAgiwUIEMrik8uhIYAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCBAgBBtAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBLBYgQCiLTy6HhgACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAUK0AQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEsliAAKEsPrkcGgIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACBAjRBhBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQyGIBAoSy+ORyaAgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIECBEG0AAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAIIsFCBDK4pPLoSGAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggQIAQbQABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgSwWIEAoi08uh4YAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAFCtAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBLJYgAChLD65HBoCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgQI0QYQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEMhiAQKEsvjkcmgIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCAQGCBUvXly+/vprdBBAIMsEDjnkENm2bVuWHRWHgwACCCCAAAIIIIAAAggggAACCCCAAAKZEDj44IMzsVm2iQACBVhg586dBbj2VB0BBBBAAIHCLUCAUOE+/xx9IRMgQKiQnXAOFwEEEEAAAQQQQAABBBBAAAEEEEAAgTQECBBKA49VEchSAQKEsvTEclgIIIAAAoVCgAChQnGaOUgE/hYgQIiWgAACCCCAAAIIIIAAAggggAACCCCAAAKJChAglKgUyyFQeAQIECo855ojRQABBBDIPgEChLLvnHJECEQVIEAoKg0zEEAAAQQQQAABBBBAAAEEEEAAAQQQQMAnQICQD4RRBBAQAoRoBAgggAACCBRcAQKECu65o+YIJC1AgFDSZKyAAAIIIIAAAggggAACCCCAAAIIIIBAoRUgQKjQnnoOHIGoAgQIRaVhBgIIIIAAAnu8QMIBQuXLl5errrpqjz8gKogAAn8LLF++XF588cUIDgKEIjgYQQABBBBAAAEEEEAAAQQQQAABBBBAAIEYAkEBQrVq1ZJKlSrFWItZCCCQDQK//PKLDB48ONehECCUi4QJCCCAAAIIFBiBhAOEbr/9dhk+fHiBOTAqikBhF+jRo4dMmDAhgoEAoQgORhBAAAEEEEAAAQQQQAABBBBAAAEEEEAghkBQgNDAgQOla9euMdZiFgIIZIPAjh075MQTT8x1KAQI5SJhAgIIIIAAAgVGgAChAnOqqCgCyQkQIJScF0sjgAACCCCAAAIIIIAAAggggAACCCCAQKQAAUKRHowhUJgECBAqTGebY0UAAQQQKCwCBAgVljPNcRY6AQKECt0p54ARQAABBBBAAAEEEEAAAQQQQAABBBAIVYAAoVA52RgCBUqAAKECdbqoLAIIIIAAAgkJECCUEBMLIVDwBAgQKnjnjBojgAACCCCAAAIIIIAAAggggAACCCCwJwkQILQnnQ3qgkDeChAglLfe7A0BBBBAAIG8ECBAKC+U2QcC+SBAgFA+oLNLBBBAAAEEEEAAAQQQQAABBBBAAAEEskiAAKEsOpkcCgJJChAglCQYiyOAAAIIIFAABAgQKgAniSoikIoAAUKpqLEOAggggAACCCCAAAIIIIAAAggggAACCFgBAoSsBK8IFD4BAoQK3znniBFAAAEEsl+AAKHsP8ccYSEVIECokJ54DhsBBBBAAAEEEEAAAQQQQAABBBBAAIGQBAgQCgmSzSBQAAUIECqAJ40qI4AAAgggEEeAAKE4QMxGoKAKECBUUM8c9UYAAQQQQAABBBBAAAEEEEAAAQQQQGDPECBAaM84D9QCgfwQIEAoP9TZJwIIIIAAApkVIEAos75sHYF8EyBAKN/o2TECCCCAAAIIIIAAAggggAACCCCAAAJZIUCAUFacRg4CgZQECBBKiY2VEEAAAQQQ2KMFCBDao08PlUMgdQEChFK3Y00EEEAAAQQQQAABBBBAAAEEEEAAAQQQECFAiFaAQOEVIECo8J57jhwBBBBAIHsFCBDK3nPLkRVyAQKECnkD4PARQAABBBBAAAEEEEAAAQQQQAABBBBIU4AAoTQBWR2BAixAgFABPnlUHQEEEEAAgSgCBAhFgWEyAgVdgAChgn4GqT8CCCCAAAIIIIAAAggggAACCCCAAAL5K0CAUP76s3cE8lOAAKH81GffCCCAAAIIZEaAAKHMuLJVBPJdgAChfD8FVAABBBBAAAEEEEAAAQQQQAABBBBAAIECLUCAUIE+fVQegbQECBBKi4+VEUAAAQQQ2CMFCBDaI08LlUIgfQEChNI3ZAsIIIAAAggggAACCCCAAAIIIIAAAggUZgEChArz2efYC7sAAUKFvQVw/AgggAAC2ShAgFA2nlWOCQEjQIAQzQABBBBAAAEEEEAAAQQQQAABBBBAAAEE0hEgQCgdPdZFoGALECBUsM8ftUcAAQQQQCBIIOsChP766y/59ddf5bfffpM//vhDdHzvvfeWffbZRw444AA58MADZa+99nIsfv/9d/nll1+cZYJwdJquo/+07N69W3766aeYyxcpUsRZXvcZr/zvf/9z6uhdztZ13333Ff2n47a+3uV0+M8//3Tqr/XS49Ll/UWP8eeff/5/9s4DTJaiav/1qcSPoOR8yTnnfMlwCZJBiSJKzkFyDpeckSuCF0ElCxIlyiWKEiQrWYJkEAQD/v3mP7/CM5ytrZ7pmZ3dnZ19z/Psdk93xbequ0+deutU4AgWCGlSzkkmmSSep3HsNxiCJflPOumkheWw8HYEU+Ll8AdL8v/kk09q5bF49Y5f//rX423q8dlnn9ULGiaeeOJYPwJRBsoDVl6oE3iBw3jjjedv9TonDfLMYUheOdx7JTIIF0QQGgTQlaUQEAJCQAgIASEgBISAEBACQkAICAEhIASEgBDoIgREEKrfmBAosM9PPvnkdW3t9VPR3U5DQO36RYuIINRpPVPlEQJCQAgIASHQdwS6iiAEeefZZ58NN910U7j//vvDK6+8EiDhTDbZZGGGGWYI3/zmN8Oee+4ZyTRAR5ixY8eGt99+O4skxJGtttoqbLHFFvE+hJmdd945vPfee9nwXFxzzTXDtttuG6accsrCMNz4/PPPw9FHHx2eeOKJWjiIMwwkZp555jDTTDOFWWedNcw999zxHAJQKq+//nq48MILw4cffhi+//3vh0UXXbRHkFdffTXcd9994frrrw9/+tOfwvvvvx/JLJSNsMccc0wYMWJElvjDoOaqq64Kv/zlLyOJ5qyzzmpYJ/B54YUXwo033hhuv/328MYbb4SPP/44EnZmnHHGiP92220Xpp9++ogj98sIuJAmZXrsscfCkUceWRgNItjee+8dVl999RjmueeeCxdddFH44x//2CMOhCfwXWqppcJyyy0Xpp122kgi6xGo+oMy/va3vw1XX311TOPdd9+NeIHhQgstFA455JCwwAILdOTgTwShtDX1WwgIASEgBISAEBACQkAICAEhIASEgBAQAkJACAiBZhAQQagnWizCveWWW8IFF1wQHn300bigmBAsSJ133nnD4YcfHjbaaKNapDvuuCMcfPDBtd+5k7PPPjusuOKK8RaLfVdaaaVcsNo15isOOuig2u+iE+Yx1llnnR63sZ9jq59tttni3AA27tVWW61HGP+Dhb6rrrqqv9TrfOuttw777bdfnGs577zzet0vunDKKafU7PgW5vLLLw+nnXZanCdhjqHe4lzmfzbbbLMwxxxzxLkMS4Pj/vvvH+65557AvEYjPAnfbLsSZziICELDoZVVRyEgBISAEBhuCHQNQQhFFRIHCh/eXiC+QAyCVIIHGcgxU0wxRQzDEYH8csQRR4SPPvookkVQjr1AENphhx0i4YfrpAOxBtLIggsuWPNS4+OMGjUq7LTTTmGqqabyl3ud42Fnk002CePGjYsDBzzRUFaIQwwCIDtRj4UXXjhss802UQmnTpBlTCC9QAKB4HTyySf3UNS5d+CBB4YHH3wwzD777GGaaaaJyjTpQ9qBXAQBaNlll80ShD744IOwzz77RGIOHnQuu+yysPHGG1vWvY6QgxgYHXroodE7EEo5Xn8YGIEb6THwOO6448IiiywSiVeUwQQ8+E1ekKMg8JiQxr333huV9LvuuisOsCDoEC5tM34zOKIdEMg9kHieeeaZMMsss0RyGDhTXvoEOK+77rrhgAMOiIQf8jJ58cUXY1wGcdQHEhF9Ak9C9Df6wbnnnhvzqjdQsfQG+iiC0EAjrvyEgBAQAkJACAgBISAEhIAQEAJCQAgIASEgBIRAdyEggtCX7QmJZMcdd6yRUeabb75oo2Z+4c9//nNcWMzi1RNPPLEW6Zprrgnbb799tOsXebK/4oorwlprrRXjsOAZOzQywQQTxGP6jzKceuqp6eVev//yl7+EueaaK163tPC0jw3eC3MElHmZZZbxl+M5i5NZ0IxYGvGH+7frrruGE044Ic7NHHvsse7OFx7+yRP7eWrLv+SSS+KiYh9h5ZVXjsQrrjHfg+2+SFgUvfjii8f5FchaXiBR3XzzzQ3TIE4r7erz6uZzEYS6uXVVNyEgBISAEBiuCHQFQQjCBwQSCC0om9/5znfC+uuvHxVX7kFOwZPMyy+/HMk2bK2FGEEI70J407Hr1hkg40Cs4Q/xBCHi4gknFchHRiRJ7/nfniCEIjzPPPNEghADALzUvPnmm+Hxxx8PDzzwQEAJQxFGyfZ5FhGEwAAFGDLNhhtuGActrATACxGEmNdeey16FsKjEisFPCnGygg7/7DDDovKMYMbWPbXXnttD4KSheWIZx8GApR7jz32CBtssEGNdAX+lPWtt94Kq6yyShw0obxD0jEhD1YGQF7aa6+9wpJLLmm3YvkoP4q6EYRoXwZbaZtRF4hD3/jGN2J8IwhBuoIww4CIPgGmTz/9dBwgQB7C6xOrO4w8BoZ4i7ryyivjKotddtklksPIjzaCzAT5igELA8F0cFMr/CCeiCA0iOArayEgBISAEBACQkAICAEhIASEgBAQAkJACAgBIdAFCIgg9GUj4vGGeYQ555wz4Olm/vnn//Jm9Qxv/njtYWGwiRGENt9888A8QCMxghALaIt2PmiUht03ghALd59//nm7HNPF+w67MZxxxhmBnQgQ6sZCWi9GEGLBLvMKzQqefMaMGRPzwd5eTygPHv/BlXPmGCBPFUm7CEKttGtRmbrtughC3daiqo8QEAJCQAgIgarny6qXmkoKBKQRSCpedt9994Ci1IkCcecnP/lJ9Pay2267RQ8yRhDx5YUYghghxghCuP4kPtt71RNPEEJBxaNPq+IJQmx1tthii/VKCkLNnXfeGXDLiQKPJxxIHyZFBCGU+yWWWCKSZ4jPNmWppFj4+5SNFQi4ScU1KIMdCDGQsMAqJ3huguCDK1S8DeVWQ9TLE2WevBhwjB49OhKJ0nw8QYityk466aSGbWYEIdLCVSsemUxYKXHbbbdFYhMegkjPVklQX7Ype+eddyIRiG3EUqlXnzTsYPwWQWgwUFeeQkAICAEhIASEgBAQAkJACAgBISAEhIAQEAJCoHsQEEHoy7Y07zY33XRTD2/+X4bofdaJBCFfShbxYtvH8w82fRYse1v4QBKE2IoNj/0QimynghdeeKG2gNuXm/N2EYRaade0LN36WwShbm1Z1UsICAEhIASGMwJdQRDCheeZZ54Z/4488shINCnj0aXTCUJ0TEgsY8eODccff3x0w3n99dfHrbC4V0QQgsgDux5vOHhOmnDCCQleWoiDAo5Xnx/96EfRi87FF18cPQOxRVhOUN4Jg/emMu5N0zQGgyBEGSBTUWa2DKNueCZCHn744bDllltGT0Os1GgWw5jIIP8TQWiQG0DZCwEhIASEgBAQAkJACAgBISAEhIAQEAJCQAgIgSGOgAhCXzYgXnRYXItH+llnnfXLG3XOOp0gZEXfZpttwnXXXRe37GJ+wRZZDxRB6N///nf0zMROANjsmedhboJdFdg5IiftIgi10q658nTjNRGEurFVVSchIASEgBAY7gh0BUEIpRFyCh52Ntpoo8h2n3322Ru27VAgCFEJlHD2FWZ7LZj8phAXEYReeumluEXX+OOPH3784x/32se3HjB4xbnqqqsiQWi99daLR7Zmwy0qXpnwyJPztIQr0tNPPz1u78UKiqmnnrpeNr3uDRZBCKy23nrruH0Zg40111wzlg1yFB6EIAfRtyALDTURQWiotZjKKwSEgBAQAkJACAgBISAEhIAQEAJCQAgIASEgBDoLARGEvmyPZZddNjz11FPhxBNPDHvvvfeXN+qcDRWCEJ702doLApTfPWGgCEK/+tWvwlZbbRXt8Oz28Mgjj4SRI0eGeeaZJzz22GNZhNtFEGqlXbMF6sKLIgh1YaOqSkJACAgBITDsEegKghCkloceeigceOCBAcLHqFGjAnvbzjfffKGeJ6GhQhCil8KYP//88yMBCsIKUkQQgm2/6667Rs8/KNB77bVXYI/jiSaaKMar9+/9998PJ598cvj5z38etwzbYostwn/+85+w9tprh8cffzySZTbbbLNeSaCM44kH70NsM3b44YcHFOuyMhgEIXC64YYbwi677BIHGxCcbNs4PDcddNBB4cILLwyzzDJL9J7Etma5AXHZOg50OBGEBhpx5ScEhIAQEAJCQAgIASEgBISAEBACQkAICAEhIAS6C4GcPRRP7Pvtt193VbREbSCu7LnnntHTPxjsscce4Stf+UrdmEOFIEQlll9++fDEE08EyDprrLFGrNdAEYQ23XTT8Otf/7pH3osttlh4/vnnw9133x2WWWaZXji3iyDUSrv2KkyXXhBBqEsbVtUSAkJACAiBYY1AVxCEaEGY7TfeeGN0Ofnaa6+F6aabLrLNd9999zDVVFNlG9kIQhBn8CKTEmhmmGGGqBRb/H/84x9h0UUXDW+88UYkwOBRx8sEE0wQVltttRrJxN9LzykvXnnGjRsX7r///oCyW09++tOfBggfeEaCDIUUEYS49+6774bddtst3HbbbeHrX/96VKDBAvIOewkXye9+97s4uAOLk046KSyxxBIx6HnnnRfYRmyttdYK4JbK//3f/4V77rknkpHAf9ppp43bdUFUmnvuudPgvX43SxBaeumlw4Ybbthr6y+8G33729+upY/HIzxLIWeffXZYeOGF4zlbil177bVxOzQIZkcccUTsL55QBllq3333ja5VJ5tssthGYMrgiLbudBFBqNNbSOUTAkJACAgBISAEhIAQEAJCQAgIASEgBISAEBACnY2ACEI928fbXPG4w0JZ7NRFYgShpZZaKuy00069gk0xxRRhnXXWqV3/9NNPo20d+/w555xTu+5PmFeYcMIJ/aXs+V/+8pcw11xzhRlnnDESbbKB3MXtt98+UN5TTjklMJeAGEFokkkmCWeeeaYL/eUpC4rZzSAnLOQeM2ZMYAeCnXfeORckvPXWW9FTELsSQAgyG/1pp50WjjrqqEC5fvjDH/aK2y6CEAk32669CtOlF0QQ6tKGVbWEgBAQAkJgWCPQNQQhWhGSyh/+8IcwevTouB0XHmIg9xx66KFxi66UzW8EIbaTSu+R3gorrBBJMosssgg/gycImZIab/z3H0Qc9sXFg1EjaZYgBNFnhx12iOWEoITUIwhxn63X8ICD8o0ijxK/wQYbRM84c845J0F6CHjhOQiPQ6x+gBAEMQaBLEMcBizXX399jWjjE4BogzIP3gwk2KcYohCK/3e/+93AXr5F0ixBiLRzbQaBij5gYgQhvB9Rl6997Wuxn6DYIpCXIAexnVouPTwJQc46/vjjw3vvvRcmnnjiSBACm4UWWqi2F7Pl10lHP6ixctEHcBcrEQJCQAgIASEgBISAEBACQkAICAEhIASEgBAQAkJACDRCQASh3gixUBn78KuvvhpvspgVr/wcUzGCUHrdfrNwmAXEJkYQst+5I/lCpmkkzRKEDjvssHDWWWeFffbZJy7EJn0jCNXLi3xYuJuTMgQhIwIxL8HcjgnzIOwSgU3+5Zdf7uXdv50EIfJspl2tjN1+FEGo21tY9RMCQkAICIHhiEBXEYSsASG63HLLLZEYw365kHEgxqBo4hXIxAhCsO233HLLrAehlVdeuaZse4IQ20+lHoRgyeNhZ7bZZrMsCo/NEoTGjh0bBx0LLLBAdKlJwo0IQoSBtPPKK6/E1Qa4BkWhh+iDd6BVVlmlhzeh119/PTAIePDBBwMuUtmWzMs222wTiVe4UYVUA0mnSPByRB6kBcmGLcpYTcGqihwRp1mC0JJLLhlJPanXJ0hArCgwMYIQ+xQzkIDYxZZpkKfmnXfe8LOf/SziUa8uYPj2228HvChdccUVkSzFtmOsXlh//fVLrdaw8gzkUQShgURbeQkBISAEhIAQEAJCQAgIASEgBISAEBACQkAICIHuQ0AEoXybfv755+HHP/5xnHPAmz9252OPPTaSa3wMIwhBBNp22239rXgO0QePQCZGEGLO4sQTT7TLPY7bbbddr7mMHgH++6NZghDp4nX/3HPPjQt+ScYIQvQD5gxywsLmvngQYoH2iy++GLDlsyjXy7rrrht3YcALUYpfuwlC5Fu2XX0Zu/lcBKFubl3VTQgIASEgBIYrAl1JELLGhNDD/rEotHhNgczBOZ5+ECMIQRQhXBHL3adnW4xBPBoxYoTdavrYLEEI4g5KMEq6ufIsQxCygkHSefjhh+MKALYCw7PPZZddFrdMgxwDCQYyD1ut4SVoq622ituZWXyO9913Xxz04A6VgU09j0CEh4Rzww03xK29nnvuuehq9eijj84SqJolCIEDBKRGbWYEIbxLnXrqqdFVKSssIPtAmFpwwQXDBRdcEK9T5noCsejJJ5+MGNrWbbg2HTlyZM3tab34A31PBKGBRlz5CQEhIASEgBAQAkJACAgBISAEhIAQEAJCQAgIge5CQASh+u352WefReLM+eefHz3XYy/2C1iNIMRi3EsuuaR+YtW7RhCadNJJ46LVhhHqBGiWIIQHpGeeeSYuUF5mmWViykYQYi7gtddeq5Nb/lYjD0IPPPBAXHTNnA32/lTuuuuucPXVV4fll18+3HHHHT1u9wdByDJo1K4WrtuPIgh1ewurfkJACAgBITAcEehqgpA1KC46YZfD4merqG9961vx1lAhCKGEMaiA2ANJ6Nvf/nYsfzMEIcMCcgyefG6++eaICV6VYPcz8IA0c8IJJ8TVB2zFlROITWzbxuoF9hZuJBBzUPLZdozBBWScTTfdNG715eP2N0GIvM4+++za1mh4mWIbteuuuy7Wg/oYccyXK3fOwIrweBNif2n2ZG5Elsql09/XRBDqb4SVvhAQAkJACAgBISAEhIAQEAJCQAgIASEgBISAEOhuBEQQKte+EISwx+Lhnq2xmItAhgpBCC9ILKTGg85bb70VICgh/U0Q2nnnnaOX/5hZg39PPPFE3A3AgvUnQcjyKGpXu9/tRxGEur2FVT8hIASEgBAYjggMC4IQnl923XXX6M2GI1tDIUOBIITnn5/+9KdxFcI000wTvd5MP/30sfytEISIiOegY445JpDO7bffHglBsP/xHsRWWuuss06YccYZYx7+H16G8KCD9xxISpCL0i2+fHg7x5MT7P8zzjgjEoV23333OFCy+xwHmiBEnrgtZds0lFxIUxDHiohRhPdy/fXXhyOPPDJuW4bb1RxePvxgnIsgNBioK08hIASEgBAQAkJACAgBISAEhIAQEAJCQAgIASHQPQiIIFSuLZmDmGGGGeJC3N///vdh/vnnjxGHCkGIBdbMl7CzAFunmfQnQYhFy7PPPntgUfLJJ59caJtnke+4cePCfvvt12Obs4EgCBW1q+HT7UcRhLq9hVU/ISAEhIAQGI4IdAVBCC81EGmK9rlFidtnn33i/rl4jcGbDdLpBKGPP/44bus1evTo8Prrr8etxfC+Y1JEEEKhZo/iIsHzDeSWWWaZJdx0000Rt1tuuSVuX7baaquFc845Jw5m0vgQhB555JHwzW9+M8w111zRIw97JyP/+te/wnjjjRe+8pWvpNHiqgMUfDztsMUYqwImmWSSHuEGgyDEaojLL788HHLIIWHJJZeMXoHYcgyhPvQntl/LCR6YIBWxkgI8Gfx1mogg1GktovIIASEgBISAEBACQkAICAEhIASEgBAQAkJACAiBoYWACELl2wt7+wcffBCw288888wx4lAgCI0dOzZ628fGjf1/8sknr1W6PwlCLIzebbfdwuqrrx4Xd9cyTU4gB6277rphuummiwuNbZHvQBCEKEquXZMidu1PEYS6tmlVMSEgBISAEBjGCHQFQQgl5d57740Mc/bGnWKKKWrEDshDDz74YPQgxLZSeL1Zf/31Y5N3GkEIAg6s+XfeeSf8+c9/jnWCiIISDoP/wAMP7EGsKSIIUd9nn302rLrqqmG22WarkXZIny3G2B4L1j3elCAKgdEuu+wSPQPh3QfCTI7oA2gMcL73ve+FRx99NBxwwAFhzz33jFj/4he/iGVjL2C2IDOBhPO73/0ubl32+OOPhwsvvDCst956NRerFm4wCELkzXZh1Jf9ixmMQCBjqzEGQk899VTc2xgylOEBhm+++WYka/385z+PXocgPZXdnszqOxBHEYQGAmXlIZCu68QAAEAASURBVASEgBAQAkJACAgBISAEhIAQEAJCQAgIASEgBLoXARGEvmjbv//973HB7N577x29yqctbkQgPM0///zztdt2ffPNNw+XXHJJ7XrRCfMD0047bVyYirf/vgi2b2zbaZksTeYXsPH/5je/iYt/r7766rDmmmva7XjsT4IQxKDf/va30WMRnouKBJs8HpnYBYEyQhZC2kEQarVdi8rabddFEOq2FlV9hIAQEAJCQAiE0BUEIfbExUMNJKG55547uqWceuqpA4Qg9vuFzIKyuMMOO4SDDz44TDnllLHtjSCEt5jlllsuKsFpp1hiiSXCZpttFpVytspadNFFY5qQjHKDI4gie+21V5h11lnTpHr8xsvPJptsEl1jrrXWWuEb3/hGQNFFIf3kk08iEYd6se8v22CtvfbasQzeo00RQQjiCtuogQUEoREjRsS6vf/++5E4hItT0oUstcgii0TS0MorrxyJPXgPWmmllXqU1f8AK8hADIQ22mijuHUYKwt23HHHAAGI/Oacc85YVohHDELA/6WXXorhDzrooNrqCZ9uswQh8sF7EV6LvIAPdYNMhTDAgACEnH322WHhhReO5/YPz1N33nlnHAjhdQny1BprrBG3coP4w6oE8qI9uc+ACNzBcKaZZorEJ0hRtmrB0u2EowhCndAKKoMQEAJCQAgIASEgBISAEBACQkAICAEhIASEgBAYugjkbODHHXdc3O5p6Naq+ZJ/9tlnYZpppgmTTTZZGDVqVPRIz0JZbO4s2L3hhhtiopdeemm0g1sORhDCvrziiiva5R7HxRdfPHrd56IRhLB7b7nllj3C2Q/unXfeefaz8GgEoYknnjjORRCQOZOXX345kpjYwQBZYYUVou18vvnmi7/9PyMITTDBBAGSU04mmmiicNZZZ+Vuhf333z+MGTMmnHHGGbU6EhASFfZ94rKoOd1xIE3s+OOPD+y0wLzMlVdeGW+XIQitssoq0Y6fpsfvE044IebfSrvm0uvGayIIdWOrqk5CQAgIASEw3BHoCoLQ3/72t7h9GEoxyu1Xv/rVSOaAoALhBnb5FltsEf+mn376WpsbQQgF1BNvagGqJ2ynxYBnjjnmCJ4gVBSe9FFQUerriScIWVp4qYHYxGCBP9KArAPRJ7dlWBFB6MknnwxHHHFEeOihh+L2XgziSBtyD96VIMBst912NYINyjuehLh+2WWXZYlPVhdITKS//fbbxzRRzGHs4w6UvYnxusMABcWesAw4cMEJyYrt0dhT2LzxWJocmyUIEcdw49yEayNHjoxbp3GtEUGIMAxywOD8888PG2+8ccSOfkPd7rrrrtjuYEi/wiMS24rhnQniFh6rcm1DuoMtIggNdgsofyEgBISAEBACQkAICAEhIASEgBAQAkJACAgBITC0ERBB6Iv2wy684YYbhvvuuy/avdNWXWihhcKhhx4a5xP8PSMI+WvpOemyKBcxglAaxv/GHo2n/0ZiBKE0HItdWRQ7zzzzxPLivSdnayeeEYTSNPxv7OVF3o6KCEKHHXZYtMkzb8DcQiN55ZVXAhhjo3/hhRciWasMQaheuk8//XT0rtRKu9ZLt5vuiSDUTa2puggBISAEhIAQ+AKBriAImecdlFW258LVJIx+vPlA2OGP83Qwg7INwx8vMkVCHFYCQHohH7b+qhceBRWPOjDq6wlpoaBDOvKCck7c8ccfP5JsINoUKecMSqz8lJGVAAikHLBgBQDkp3fffTeWH284lI2wrHSgrAhpoOhRV0+gijcz/8gXnP/zn/9Eb0wMAMCbNBiYQNLinL2KyY988dpE+XLkILIgzffeey+m6euSZg9xB9zqCZjhNhWBiEX9EMhXuXahLcCKcJSR/CnnRx99FK/T5gxwuOYxpH6d6DkoVrb6TwQhQ0JHISAEhIAQEAJCQAgIASEgBISAEBACQkAICAEhIARaQSC1qZPGcPQgZNhhQ37sscei3Z15AuzpeNSHvJITdgt4/fXXc7dq17Cvs8gWYdHzc889V7uXO2G+gEXRjYTyQaLxgn3cdhzw14vOmQNgoXI9wW6e8z5EHHZJYK4CnFi8bMIcArZ+rtuOD3av6EhdmPtgcTUeh1gQ/eKLL0abP23ghTkiFpbXE7ZfYx4GabZd66XbTfdEEOqm1lRdhIAQEAJCQAh8gUBXEIR8Y0L2QIlGUJTtz4cZTudgASYIWBQRdNqFieHP0fLjOJRloDFsF1YiCLULSaUjBISAEBACQkAICAEhIASEgBAQAkJACAgBISAEhicCIggNz3ZXrYUACIggpH4gBISAEBACQqD7EOg6glD3NZFqJARaQ0AEodZwUywhIASEgBAQAkJACAgBISAEhIAQEAJCQAgIASEgBL5AQAQh9QQhMHwREEFo+La9ai4EhIAQEALdi4AIQt3btqrZMEdABKFh3gFUfSEgBISAEBACQkAICAEhIASEgBAQAkJACAgBIdBHBEQQ6iOAii4EhjACIggN4cZT0YWAEBACQkAIFCAgglABMLosBIY6AiIIDfUWVPmFgBAQAkJACAgBISAEhIAQEAJCQAgIASEgBITA4CIggtDg4q/chcBgIiCC0GCir7yFgBAQAkJACPQPAiII9Q+uSlUIDDoCIggNehOoAEJACAgBISAEhIAQEAJCQAgIASEgBISAEBACQmBIIyCC0JBuPhVeCPQJARGE+gSfIgsBISAEhIAQ6EgERBDqyGZRoYRA3xEQQajvGCoFISAEhIAQEAJCQAgIASEgBISAEBACQkAICAEhMJwREEFoOLe+6j7cERBBaLj3ANVfCAgBISAEuhEBEYS6sVVVJyFQRUAEIXUDISAEhIAQEAJCQAgIASEgBISAEBACQkAICAEhIAT6goAIQn1BT3GFwNBGQAShod1+Kr0QEAJCQAgIgRwCIgjlUNE1IdAFCIgg1AWNqCoIASEgBISAEBACQkAICAEhIASEgBAQAkJACAiBQURABKFBBF9ZC4FBRkAEoUFuAGUvBISAEBACQqAfEBBBqB9AVZJCoBMQEEGoE1pBZRACQkAICAEhIASEgBAQAkJACAgBISAEhIAQEAJDFwERhIZu26nkQqCvCIgg1FcEFV8ICAEhIASEQOchIIJQ57WJSiQE2oKACEJtgVGJCAEhIASEgBAQAkJACAgBISAEhIAQEAJCQAgIgWGLgAhCw7bpVXEhEEQQUicQAkJACAgBIdB9CIgg1H1tqhoJgYiACELqCEJACAgBISAEhIAQEAJCQAgIASEgBISAEBACQkAI9AUBEYT6gp7iCoGhjYAIQkO7/VR6ISAEhIAQEAI5BEQQyqGia0KgCxAQQagLGlFVEAJCQAgIASEgBISAEBACQkAICAEhIASEgBAQAoOIgAhCgwi+shYCg4yACEKD3ADKXggIASEgBIRAPyBQmiC03XbbhUMOOaQfiqAkhYAQ6A8ERo8eHS699NIeSU8yySThnXfe6XFNP4SAEBACQkAICAEhIASEgBAQAkJACAgBISAEhIAQEAI5BHIEob322ivssMMOueC6JgSEQBch8Mknn4SRI0f2qtFnn33W65ouCAEhIASEgBAQAkMDgdIEoaFRHZVSCAiBegiIIFQPHd0TAkJACAgBISAEhIAQEAJCQAgIASEgBISAEBACQsAjkCMI+fs6FwJCYPghIILQ8Gtz1VgICAEhIAS6BwERhLqnLVUTIdAQARGEGkKkAEJACAgBISAEhIAQEAJCQAgIASEgBISAEBACQkAI/BcBEYTUFYSAEEgREEEoRUS/hYAQEAJCQAgMHQREEBo6baWSCoE+IyCCUJ8hVAJCQAgIASEgBISAEBACQkAICAEhIASEgBAQAkJg2CAggtCwaWpVVAiURkAEodJQKaAQEAJCQAgIgY5DQAShjmsSFUgI9B8CIgj1H7ZKWQgIASEgBISAEBACQkAICAEhIASEgBAQAkJACHQbAiIIdVuLqj5CoO8IiCDUdwyVghAQAkJACAiBwUJABKHBQl75CoFBQEAEoUEAXVkKASEgBISAEBACQkAICAEhIASEgBAQAkJACAiBIYqACEJDtOFUbCHQjwiIINSP4CppISAEhIAQEAL9jECWIHT77bf3c7ZKXggIgcFA4Gtf+1pYd911w1e+8pXByF55CgEhIASEgBAQAoOAwN///vdByLU4y//5n/8JX/3qVwPH3F9xTN0RAkJACAgBISAEhIAQEALdhUClUgm5v//85z/xenfV9ovaMAbANskRsTGBnceL+icEhEBHI+Cf4Y4uqAonBISAEBACQqDDEciNBbjWn+OBLEEInCaeeOKm4aKw//rXv8Lf/va38Pnnn4d///vfUdkfb7zxwvjjjx8mnXTSeGw6YUXodwRoO1jff/3rX5vO6xvf+EYY7JUkTHx99NFHceA80UQThSmnnLJWD/oi9eJIP5xqqql6EWToqx9//HH45z//GeivU0wxRTzWEil58n//93/hk08+CZ9++mmc+Jp88slbepZKZtf2YGD0/vvvB+ox4YQTRqyaycT6EP2JfsF7xAb7zaSjsEJACAgBISAEhED7EOgEghDGQ0hB/OWIyugOiB3bV3ulJASEgBAQAkJACAgBISAEOhcBs5vZ0ZcU+xwTA/xxPpRF44Gh3HoquxAQAkJACAgBISAEhEB/IWDjADv6fPprPNA2gtA//vGP8NJLL4X7778/3H333fH8rbfeCpA1ZphhhjDHHHOE1VZbLSyyyCJhlllmieQBX0GdDy4CELt++ctfhlNOOaXpghx22GFhk002yU72NJ1YixFuvPHGcOKJJ0aC2uqrrx5OPfXUWkpPPPFEOO2008LTTz8d5p133jBmzJgAccfLiy++GM4888zw4IMPhtlnnz3G59isQI4777zzwlVXXRWmnnrqsO+++4ZRo0Y1m8yghX/22WfDTjvtFMliCy64YLjgggsC25KVEd4BV155Zaw/houjjz46rLfeegGvRRIhIASEgBAQAkJg8BAYTIIQhCDI154UBAnIiEAMfHKDn8FDSzkLASEgBISAEBACQkAICIHBQaCenszkAAscsbkNJdF4YCi1lsoqBISAEBACQkAICAEhMJgIDNR4oC0EIbyuXHfddZEY8Pvf/z4OVnLgMTEwzzzzhK222ipsueWWYa655uoR7NVXXw3vvPNOnCSYeeaZw/TTT9/jvn70HwKQOy666KKw1157NZ0JJBJIJX7ip+lE+hjh0ksvDbvuumugHptuumm4+uqraylC+tlvv/3Cww8/HBZbbLFwxx139PAwREDIQwceeGD49a9/Heaff/4Yn6MJnnUgEUEAwlvSiBEjokcsu29HvBgdccQR4fzzzw8zzjhjJFzR34eKPPLIIwGCFV6Q8MJ08cUXhw033LBU8Z977rlIiLrtttti+J/85Cdhm222ackTU6kMFUgICAEhIASEgBAohcBgEITQCyEGMSGA2OBGhKBSTaZAQkAICAEhIASEgBAQAkIgq0NDFMJO2ekehTQeUAcWAkJACAgBISAEhIAQEAJ9QyBnU2/HeKDPBCEK9qtf/SqSKyBQMAkAuQfyD1sMMWCBNMG9N998M5J/IF6cfvrpYe211+6BCt5rrrnmmjiZANkDcoFkYBBICUK032yzzVZqRfeee+4Z1l133VJh+6s2EHvOOOOM6EFo5MiR4dhjj61lVYYg9PLLL0dvOZCIZp111hifownEtSOPPDI89thjYYEFFgj77LNPWHTRRe127QiBCKIVhDm2MqMfr7nmmrX7nX7iCUJM6m288caRJNTIixAeqCBl7b777pFcRD1FEOr01lb5hIAQEAJCYLggMJAEIQhA6BDmQdAGMYNJJB8u7ax6CgEhIASEgBAQAkJACHQvAkwEeLL9//t//y8u0kXf7iTReKCTWkNlEQJCQAgIASEgBISAEOgWBNo5HugzQQjvQSuuuGJ49NFHw8QTTxy9j+AxBRLFFFNMEQlCH374YfjTn/4UPbg89NBDkUyy//779/LAArmA7Z/GH3/8cNxxx4UDDjigW9qs4+uREoTwJLTjjjvWVn3XqwBbyEEGG0x5//33Ax6oeDjod3POOWetOGUIQtT/tddeCx9//HHcFo/4bI9n8vrrr4dtt902jBs3Liy99NJxy7KVVlrJbteOuPl94403oics+jFkOTzxDBXxBCHKzDZrPJONSE6Q/+gzbFNnIoKQIaGjEBACQkAICIHBRWCgCEIsFED/YVJAxKDBbXPlLgSEgBAQAkJACAgBIdCdCPiJAXRuFud2yrZjGg90Z59TrYSAEBACQkAICAEhIAQ6B4F2jAf6TBB68skn47ZNDEiWXXbZuM0YnlVyq4QhCv3xj38Ms8wyS5hpppl6ISmCUC9IBuxCShA6/vjjw8EHH1yKIDRghWwxozIEoUZJlyUINUqn0++nBCFIUttvv30488wzw4QTTpgtPkaI22+/PW4d+Ne//rUWRgShGhQ6EQJCQAgIASEwqAgMBEEIj0GQgxA/SBnUiitzISAEhIAQEAJCQAgIASHQhQikZPx///vf0ZvQYFZV44HBRF95CwEhIASEgBAQAkJACAwnBPo6HugzQeiHP/xh3FYIIsH3vve9SCRgtUAr0heCECQFJj+YmJhggglayT7G+eCDD8L//u//FpIhLGEINZ9++mmYbLLJWsqPLZn4I69W8WLyhTQgY/WlztSpPwhClI82YSXLpJNOGrebMPyaOX722WdxFXqjba6K0ux0ghA44YmL7Tj4a0XYxo+BODj3RVKCEGkttthi4eyzzw45j0nc/+STT8Iee+wRLrvsMn7WpBFBCFfIPEP0X9o2RyqsJdbghLTow319/htko9tCQAgIASEgBIYkAv1NEDIdhoEJek2ruu2QBFeFFgJCQAgIASEgBISAEBACg4QA9nDsaXjwxDaGDXYwROOBwUBdeQoBISAEhIAQEAJCQAgMdwRaHQ+0lSDEllTnnntu023x7LPPhsMPPzzcd999ga2iGNhMP/30Ydpppw1LLbVUOOSQQ8KIESN6pcsExBNPPBEuuOCC8MwzzwRIEhCVZptttvDtb387jBo1Km57lkZ8/vnnw1lnnRW3PGMLpRNOOCHcc8894ac//WmAIATZZp555glbbLFFWHvttWukC9KHBHHTTTcFtlQCdLyqsMUW5SRP4jEoywnhf//738d8Hn/88UisgNCx+uqrh5133jn86Ec/CrfddlusO2Qpyp+TP//5z+Hiiy8Ojz32WOCcNBZaaKGwwQYbhFVXXTWSjnLx6l1rJ0Ho3XffDRDHwJRzJosgQuE1apVVVglbb711mHrqqesVJ25Jd8MNN4Tf/va3gfairaebbroazgsvvHAPnGmT0aNHR8LUaqutFk455ZRa+mUIQi+++GIkwRCW/kN8+gZy6623hh/84AdxCzMILWylR10gtey9996xn5h3nb/97W+x7ldddVWsI/dz7UhfwJsW/Ym+8Je//CVu07bIIouETTbZJG7bV48sBB6Ulfh/+MMfYl/iufn6178e5ptvvthvwboRzjWQ/nuSIwjRdvvss084+uijIwkpjUM/JC/q7iVHEMJY8dRTT4WxY8fGZ8E8DrFFHZ7F6MM8R0VkobvuuiucfPLJ8Tldcskl43uD5+buu+8OpAVhj2dhp512isQmSFMSISAEhIAQEALDHYH+JAjZSuF01cJwx1z1FwJCQAgIASEgBISAEBACA4EANkJs0fwNhichjQcGopWVhxAQAkJACAgBISAEhIAQyCPQ0nig6p2lkvurGvlLSZXAUakWp1IdhFSqJJnKww8/XCqeD/S73/2uUiXWxHRIy/9VyTOVP/3pTz547bxKRqpMOeWUlSqRIuZv5agOTCpV8kalSkSpVEkLtfB2UiVUVNZcc82YT5XoUVl++eUrVWJBLQ3SIY255pqrcvnll8doxFl55ZUrVXJIpUpe6FHG6irpSpVUFMNfeumlEU/Ly45VAk7l5z//eWWOOeboVV7iVklG8R55zzrrrDGsxfVHyjH33HPH/MjX6gwGVXJI5cQTT6xUSSw+Sqnz6sRR5ZxzzqnVq7rFWKVK5igV1wcaN25cZcYZZ4zl8zjRPyhvlcBVqZJgKg888ECl2mF91HjOtTvuuKNS3a4uhrU6Uk/SAyvwOf300yuU2aRK7qpUiSwxzOabb26X45G8lllmmVi3qjecSpWE1uM+P6qklUqVyBPDzD///JUq4awWhnYj/9zfqaee2qO9qySySpXcFcOCA3FToY533nlnpUpA6oET9at6wKlMMcUUlTFjxqTRar/p0/vuu29lmmmm6dGXfF8AiyWWWKLyi1/8oqn+UCWwxWeBtOhTVdJOrEuVAFR59NFHa2XwJ1VyWwxDnlVSXw2nKkGoUl25VAvKeZUYFMtNPekThinnPHOkUSW5VV5++eVaPH9yzTXXVKrkwRiPZ8YwtLQ4WrmvuOKKHvn7dHQuBISAEBACQmA4IZDT9dtxreoBMcKIblMlPw8nSFVXISAEhIAQEAJCQAgIASHQMQigi5udFR29Hbp+mTQ0HuiYLqCCCAEhIASEgBAQAkJACAxjBJodD/TZgxBbI1VJL9EDSnWyP1RJNWG//fYLm266afSIUiU9FHoDITyCBxI8fuBZxFyh4pEFTz4jR44MVTJImHPOOb8I/N//eIzZcMMNo2eZKikgbs1EeDyzUKbqoCiG3GuvvaK3IMKY4HXowAMPDFUiSrzEvSoRJXofwisMXoRY/bDDDjuEk046KXqKufnmm2McvNkQHu9G/L3zzjvxj3yr/S56OqqSikKV4NLDww1eYvCMUiU7xevkN/nkk8dtkagznlVMZp111ujVaKuttrJL8Qg+VaJLjOPrTF3xAGR1rpKEoscb8igrqQeh4447Lhx00EENt4igfb3g2QhvM6xUZ7snPEHh4QgPOXhgoozghJebKjEsYuvj0660Dd51fLvQHnjvMZzxElMl54S11lorRq8Ss8Kuu+4acaDvXX311bVky3gQevrpp2O+v/71r0OVIBTjc0TwBsT2eWBEO4Er/ZMygROes/AqhFDHI444Ipx//vmhShCKnojSdqyS6EKVcBP7KXW0bbFI2/fdKkkoepaKCf/3H1vK0b54wGJrL8pCG5B/lRgTPv7444gxOJPu0VWvP7vttlv0rOPTKTr3HoTwPkRb4t2L5+LYY48NPE++zen/9FfKtfjii4cqKSlceOGFMfnUgxB1qxLPwhlnnBGf8yoZKGJE4Ndffz3iS/uS/rrrrhuuvfbaWAdfVq6xndnbb79du0w78OxTf99H8DhlHqFqgXUiBISAEBACQmAYItAfHoTQYdCHOKJ3eP2gEcToVBIhIASEgBAQAkJACAgBISAE6iOAp/yy4nVy9G3sr/0pGg/0J7pKWwgIASEgBISAEBACQkAIhMhdKYtDU+OBotUAZUlW1cwq1W2xoleQ6sRAzSMInn2++c1vVqrbf1WqZI/Ke++9V6mSCOomWyUyRA8w1cmGCp5ZigQPOXjRqQISPa5UtyWqVElGlergp1LdcqtSJbbE8lQHKjG9KiGoR1LegxBlrhIbKtXtrOLK5ypBIXovwfNLddupHvFIu0qQqNx+++21VRl4Ralub1RZaaWVYl6UCQ8yH374YS1ulchROfTQQ2N5q4SOGJY0wANvMOSNJxTi8lclXPTyPFN1EVupEk1qaSy33HKVe++9N3pIeeONNypVUlaluk1TvI9nmSpxo5Z/mZPUg9Aaa6xROeaYYypVAkzhHxjRrqng8WmXXXaJ3qToHwjp4+WHdqNdqGd1G68eUaskokqVbBPv0S4LLLBApUoIiateSId2+853vlOpbi1VqZJ2eqxUJ228O5H2Zptt1iPdsh6E1llnnZh36kGIxF577bVKlawW7y+99NIR+x6Z/PcH7V7PgxD9pbptXUwHLzpVIkwFrz1cx2vO9ttvH+sBPnjKqW6b1SMbPB3RNtzHSxaenujfeHui71LO6vZusaz0CTBtRrwHIbwH8RtPWuRXJeTFZ9nSo00OOOCAeA+vR1ViVOWoo46KvwmfehAiHn2+SsKKfeuFF16wpCpVYlPlyCOPrNV9qqmmqlx55ZW1+3aCB6Eq8aeWB/2JvkD8KgEpPpsrrrhi9FZFGXheJUJACAgBISAEhjsCRfp+X66jdyB2HO4Yq/5CQAgIASEgBISAEBACQmCwETDdnGNfdP0ycX1eg11v5S8EhIAQEAJCQAgIASEgBITAl7b6RuOBUKTwNwMixBy2MmKrLohBkGCYnLc/tg2qenqJYaqeQgq3ripLEIIkAIkIMgjbVUHc8UKdqh6J4hZVlIEtkLx4ghAkDLZJMyKLD1f2nLg/+9nP4tZa5AeRxBMz3nrrrdqWZiNGjMgSH9iaDZyInyMIVT0QVSBNcJ+tqyizl6rXo8qWW24Zt1cizOjRo/3thucpQYg0Gv3Rps8++2zDtC0AOB1yyCGVqkehmPYmm2xit+LkEkSpmWeeOd6DlALxCuKLF8hhr776qr8Uz4cKQYh2o9/yt+iii0Zyj68MxC76j5Htqp6I/O3KLbfcUllwwQUjRhCacgQtIkBK469ZSQlC9F3IbTzT9D+20IOshkBMY1s76gLJjueqEUGoXnl4WdnWf5CfIByl4glCbFcH2SgVtgXkGaL/Lrzwwult/RYCQkAICAEhMOwQKNL3W70OsRmxSYFWASU+eoXpFmXSQZ+0OH3Nv0x+/RnG178vY5H+LGMnpG04NdvejCOsr+SOzdStm/pdM/UeDmGtfzXzHhpIXHzfy/XjZp+LTq/vQGLbKXk1auNcu/trnVIPlUMICIHOQcD0SnT2VvX9RvH6Yzzg323+3OrTOQj3T0m87to/ObSeqv9WtZqK6SD1dBfLJ50PaDXPboxnGPGM1MNyqNfd3gGt9AXra6RR9v3hcW0lz07C29elm/tIXzE3nJptb9+/rJ/6Y7PlsrjNlqPZfBR+YBHw/aTse2hgS1ipay+jXw61PmnPNGXXu69S+/7VGw+0hSBExwVwPKCcdtppleoWT9HLC0QWvKQY0QRSD15wHnrooWwDlSUIVbc9qlS3FYp/eDDJyY033liZYYYZamQT3yE8QQgvNXi86avcd999ler2XzE/vAF5EgsEJvPCsvrqq0ciRZofnXbllVeO8XMEobPPPjt6jAFLPDNBykr/fvSjH9W8q0DWakZSghAkHshTYFj0V90yrVLdcq2ZbCJJjH5BParbhNXiMvA8+eST43XIMRCJID2VlaFCEKpu+RXrWN0Sq/L973+/VxvSpuBgZDG89njBaxQejMBv3nnnjYSh6nZb0XuOD9fqeUoQwisPRK3qNoIxz2233bZGyMPDFOWAqAOZBy8+RzXwINSoXNVtzGr44C0qFU8QwnuQf64tLH0SD1uUDa9SQ+1DZvXQUQgIASEgBIRAuxBoZOBv5j66CsLAq6+DXMjifK/5w/NgGaluVVqLUzQOKJNOJ4TZf//9a3W55JJLOqFIHVWG8847r7YAgz6C7tyMoCtb/8odq9s9R8L+FltskSWd+7x+9atf1dL67ne/62/pfIgjsN5669XaNl2E0wlVu+eee2rly/Vjxs4zzTRT9FL8gx/8IHqUrVfuUaNG1dKrbvldL6juDRACv/zlL2ttkmvjetcYi0uEgBAQAikCXk9Hd29G1y8Ttr/GA0XvO2yoSyyxRAXbeKPdCVIshtLveeaZp/Y9eP/99zuq6CxKtvZhXqUZYVG53zkB3SuVRx55JNq7bdE5erokj8CZZ55Zawt2FuhGeeWVV2p1ZCeJZgVcrL/usccepaJ7nXu11VYrFadTA7Hrh9Vfuyv0biUW4LODCIvewYnvSzOyzTbb1PA1nP0R/Xy++ear8K5jztIItbk8cKZhcXEmIOkeBJgvtbZlx5dOExxxWPnqHXEQgQ3huuuu67Qq9CrPxRdfXKsTtpHhLmXGA20jCHmw8VyCsemiiy6q7LvvvrEDTT311LFxbFulJ5980keJ52UJQmwphiGMAQJKZk4gK80555wxT8KxlZdJXwhCeAa6//77K7feemvc/ortjfjoHn744TUSBQQYFBkTysK2XzxofBhyhCQIQqZs5whCTCBAsCKNVVZZJXoIwkuQ/8NojgcnwrANUzOTNilBCGIK28NBOir6u/nmm3tspWb15QhBaty4cRXCQOpguyi8LNHGthUapBOTd999twLxi7IzCMBI1kz5hwpBaLvttot1pE+yvZhvPzuHGGNtjYcsjwNee7beeuuapyiUGTCFVMTEEsQ4BlXp1mSGc6NjShBi4I0XIbZNY5BG36ZNaV8UHdqLQR7bCJYlCGFIeO655yLxCK9R1j/wTsT2cKQ53njjVSCgpeIJQjwHOXnzzTdrZDvSwrghEQJCQAgIASEwnBEoY+gvG8aItzmSbrMYe4IQ+iE6RyMRQagRQt1xH6Mdepz/azdByKfNOYZBDHQ56XaCEM8/nkz5G26681AnCKX9mIVUeIAtkm4nCOFh1/qyH0cX4dEJ10UQ6oRWUBmEQPchYLo6x7J6ftlw/TUeSL9pud94VX/hhRe6r8GqNepUghA2ZrNT0yb77bdfafzZEcEm4a09U4IQcxI2b2JhOo0gBAamX9Sb7C8NTB8CiiDUGDxPEGIOkbm8RiKCUCOEuuP+a6+91sOhBe+cdhOE7D1mR+bTcJiRk24nCDG3aO9O5g6Hk3QLQcj6Mcf111+/ArGoU0UEod4t02g80C8EIV8MiC+QB3784x/H7X7oSHingVDDPS9lCUKrrrpqJAihnGI8zglMe1OsIRvgZcWkFYIQBCO2LmLF6LLLLhu9t7BSDyIOpBwIH/aw1CMI8RAVEYQgRJBGjiDEPepheTQ6QubwpCire9ExJQihSNmAryhO7vpHH31UOffccyvf+ta3ohcpPCeBBzgx8ePr4AlCEE6s/ly/6667cskXXhsqBCFILY3azt/He5N/6fLM3HTTTdFbFcZfC8tgi225wI7ngxX1eLXCA1AzkiMI8RKBmGPbdu2yyy6Vgw46qOblCGIXxtdGBCHCQJajb+EFC1Y05CLqOO2001Ymm2yy2qCxDEGoiM0vglAzLa6wQkAICAEhMBwQKGvsbxTO9Ip2Tbp6ghA6jd9+tqhdRBAqQqa7rkOINz2XMRd63+mnn95UJb0HIUj1iy22WI8/vKVaHnacZZZZ4ja6aUZsa4u+yh8LYLpNTjrppBoWp556ardVr259hhJBiPFe2o/xyssqVevDdmSBR07w6Gx9mUm7bhMbs4JDM/aQwcQBj71pu/Lbv8No41wYPOdKhIAQEAJFCJjOjg7fSM8ve78/xwMjRoyI3ub5tvm/2Wabrcd3jt/ezl9U/6F23eYx+IZ1kgch5nRMv+CIjb/snMGBBx5Yi8vicXT6lMjsifjM9YwcObLC4vBOko022qhWD+ztgykiCDVG3xOE6LPoVPbuKootglARMt11HZuCvc8gIjKPxlxXM+I9CDH2SHV05rtSYiS7heTeHcxj2diMnWe6TW6//fYa3jlnAN1WX1+foUQQgkjp9S5/bg5J7LlZe+21ezi08HUe7HOcydjzdNxxxw12cTom/3rjgX4nCHkU8CJjL8eNN964gjceL+0kCLFyzBTrvhKEYDriRYctjXhYeBggM/AbN4crrrhiJA3Zw9IfBCHvNQZFHMWm0R9eecpKOwhCeIY57LDDah6CwApMMMgvtdRSUcFffPHFawZMTxBiGzaMlWDLR/TOO+8sW/QYbqgQhPjQU0cIXBBjGrUhW8WlW62h0KK0QtKBrMYAy54re1FDWGNARbiUiFcP2BxBiPC0D32QfOwlS/vyHOANCGlEEOKZxIMSBEHKiTcxMFh44YUj4YlBIlv+cU8EoQip/gkBISAEhIAQaAsCZQ3+jcL5lQftKFhKEEIHuPrqq+smLYJQXXi65uYKK6wQdUL6RM7zbJmKomcTn7+ibZHRT5n0gHhhYfHqOtxEBKEv+kmnbzFWtECCdzOLstguz/oxR4gnw02GIkGoqI2eeuqpWnsyZpYIASEgBJpFwOvujfT8svd9ms2WJxfejweuv/76XJB4je8cNmX7zu28886FYYfqDZvHoI6dRBBaaaWVargb/kULtlPsN99881pcCPc5Yes4S5cF5Z0oIggNbKuwM4f1ib5uMWbpHHLIIXUrIYJQXXi65uaee+5Z61utbvPuCUJFu9uwUIFdOFiAZH0Q+8RgeyAb6IYUQegLO0OnbzHGHG89weMtW41ZX25kt62Xlu4NPAJed0/1/QElCMGItI4EO/OJJ57ogUZZghDeRyAnQIJge6+cvPTSS7UtxiAiUHGTZj0IPfPMM5HhTp4QJGCV8nLDNdyjjz4a6wH5CYWFhyRHEIJUwT1WKDKoSQUSh3nQwaiV1os988ydJ+71ybvRXzP7MreDIPTAAw9UWOFLPTGysyIAT0AYWh977LEKBq7zzjsvkkII4wlCGOdZjct1CCTXXnttU0zEoUIQwgMVdYQ1jEvWRm3IdmE5xQHWH4NFVn3+5je/iXjhuYkBsm2th4chVmqAbVkpIgixMoTJEwg9lN/+vve971XsBdOIIMR2fLa6FYWIFQ8o32xHSD2efvrp2GdIu50EIfq2RAgIASEgBITAcEYgHQC08hsiOGIrD9qBp58QMN0CnTklR/u8RBDyaHTvOZ4mrU8UbfvVqPZlCEKWBuNDCPyWJ14vh5OIIDS0CUK+r+6xxx61frzWWmv5W8PiXAShYdHMqqQQEAJNIGC6O7p8K2MAH6e/xwP1CEJUma1hbNEhcwIffvhhE0h0ftBOJAihE9uiVD/Rzc4BZWTdddet6SUPP/xwNsqJJ55YC9Osx9Bsgv1wUQShfgC1TpL9QRBinoT5qSIRQagIme66bnNzjPvxXtaKlCEIWbp8p7znYubHhpOIINQdBCH6LPwHs5fB7ZAMLQSKxgN9JghBHChakZlCBEHEtkWC5INi76UsQQjSAwQC0mJ7o5wwqLCXLwq2AUDYZglCkFWMdEHnf+utt3pliZJrjPqUIEQ9zTMKq/5yyggEIVar8pDlCEIQa2xlK9uU+fr0KkwLF9pBEGLCBuILdYDsxHZjqVx33XU15qwnCJE/7uyJy8CDNm5mtcRQIQiZi0sGspBr2tWOkHTAEK9Rl112WcXc72IUbmZv7iKCEO344osvVkaNGlX7EED28dvlNSII8XzTvlNNNVXlhBNO6LF1mvWTs846K4bpC0EIj0Z4ViIvtrUzApPloaMQEAJCQAgIgeGGgDfst3puHgnb+V3NEYT4fm+//faFTSSCUCE0XXVjoAlCgOe3NYN4P5xEBKHuIQgxhmaBFO/SdKHUcOjTIggNh1ZWHYWAEGgGAdsKCl2+1XGAxevv8UAjghD1hpjCN46/+++/vxkoOj5sJxKEjjnmmBreeAwwL07YhLEDNxIRhBoh1Px9bTHWGDObf+E9YQQ3ztkKyt5jaSoiCKWIdOfvgSYIgaJ/ZuvZuroRcRGEuocghD5pzh9Y2CkZWggUjQf6TBCCyDHXXHNVrrjiiroT8Xx8jQDD6kw8naQf5N133z16BsJTDmSRIoHdad50WBn66quv9ggKUeI73/lO9DDEx59VdF6aJQiNHTu2MvPMM0eFmHIbmD7NO+64o7LIIovEMClB6J133qkY0xwPOznXc2+88UZlmmmmifFzBKFnn302biVFfSBY3HrrrT772jneiZrxHGQR20EQYnsxe0kU7fHHVm3mTckThCDKeLd7rEpgm7EU608//bRXe1OHsgQhJhtyxCPIa+uss07Eny3R8BrlBZLXKqusEu8vvfTSlXvvvdffrp3DCqYf0070g9QTFH3PFFP6blE6RVspsL0Y/fGGG26IhKBaxu6ENK0vMhCD2FNW6hGEmBA85ZRT4rZx1I9JFD9J2IggtNlmm9X6N++LnJgXqTIEIZ6lnDeuSy+9tEZCY3sKiRAQAkJACAiB4Y6AGfX7cjRSs//29xVXTxA68sgjawsJ0DOKXNB7gtD+++/fqwhrrrlmZb755ot/6I05QRe3MDkiCPqT3YfwjlFjgw02iLrdxBNPHA2LkJr9WAavohibiIc+zJHxSLogwpeH8lNX/nBvDdEbD5PEhXSPd1J+4566kaAjgg2Y4vERPQndi3LWGxuwCsjqSlhWa2K0Ig0WJ7D3ONva1qtHUdnQ48eMGVOBsM5YivSoE+Mptq/NCVsiUR7I9IYNCzW4Rh9pRprxIES6fnuDvffeu0dWVi7KwZinSNhCG/f1jBfYapl2JA4LPMCi3hbQjHE33XTTiBX1Zxvh5ZZbLrYHXkXLCLr8tttuW1lwwQUr9FXGjUzksM0v6dNPUsFQbuNQMOecMrNFdD1hUQLpsu32FFNMEcdSRx99dN06MsYibf5YLPHXv/419i/GhYzvaWu85eYW1FB2PJqyYIf+BEaMm9lW+aijjoreSOuVt+geHn6tr+H5Fk/EO+ywQ9z2Gi8FbCfO4oZ0XEp6YGr14XmvJ2ynbWHLtifptTJZQT5WJ9sO2sq200471crBGLhI8ATMO4TniLZhDE+/Jj62jxwepEWbYguwZwCSEu279tprV+gfn3zySVGWteu09UUXXRS9OGMX8G3NewDPs6kwqUy9GUda3Zlo5dppp52WBq/9fvvtt2O5KB+LS4jDOzAdx9ci/PeEulh73nbbbdErLn2JNHgelllmmcrJJ59cavI0Tdt+0z5Wl3pbjO244461srAgq0h4j1uZ+VZ6YbsFu0f/vPHGGyt8C1l0h8t5bCGjR4/u8d3z8f05300m5sCDdxDtj+3g4osvbtsCKZ+fzoWAEKiPADq86fF9GQsQ19Lpr/FAGYLQscceW3s3ooukgi151113jfo633EW8zJ3kdp503j2G9smHvH5/qPL8R5beeWV47eink7O4mJ7j/Ld4fuLrsM7kLEB9mh2JEBXLJJmCELo0mzHtfrqq1cmn3zyuDCZ7wHbgLRTbME0ejxzB9iF7dvEt7pI+FaDhy12Jg56G9fAwQT7NTqvpWl6KHpEkaAbYXtfYoklokcpbL8HHHBA6W2JmUc64ogjom5CG0833XSxjdHh00Xh2J0ps3muopwjRoyI18C7SPC2hTckxmZ8S21sxngjt1NAmg6LfU3PRg+iHRifcN2TDfjeNis8x4yHGZ8wd4GuBgb0efosc1BFQv+1fs64hbowxll++eXjriGkg05VTx+xtMGIZw2diWeEtidN9Co8V1mf6OsWY/QVm4siTTxW5cTr3DnvGOBvdWc3hJww72NheA+lwrvI7kNwZP4HvdPGQsyx0g/9onv6K/EYs/E88Rwxz8i4r0jQYw2/vfbaqwLWPLuMCxmfMvfVyFbh02auhTEm5UPPZQE55MF6u1agx1pdGT8wRmCHFHsn1hv3+byLzm+66aYKDigoE/2H8S8E0iJc0PkpD+9Lw4bnkmuMeZqRZjwIkS67rlie6VwV7xzDifdFkfD9wV7DNw1bDeMzsOQbgI5eb/6P/oqtivC0P7o9/YktIMt8dykTzyTPAH2IHYJIA8w33njjaMuifVNB//ee54hjdS2yB5FGq99x+jXp4ziAsSrvW8ZQYEU5eL8w/5wK70TmWrH50S9554Ixthien/vuu6+m/6Rx6/3mO2PtzhZjeErnGcCRCO0AlqSfI9vyrjesKEc9vYvvgIXlWS0r2EutfLRNGaEPEQfHLaYT5uLR5xlfYlPi+0kdmPfN2Xly8fmGbLjhhrEdeGb5TtD/sROAG/VFr0ol1cXS+/YbWy79Y4011oh5UH/0Dngk9fS01J6FXsQ3mbikwTuFMTB9uNOE9rI28+OBPhGEUHitE6FMYJxDOeeFRGPxIPLy5aMESBaWF3fu5YOxB/IQRh2UIDopjWUFN1BJ1wy+hEdRp3OhlOCCngfLXvZsC5Z6UGmWIIRiYh6AUALZKs0LRkQ85hjxIyUIpeQbFFgmPSgvBnsUEDAxfHIEIfLjY2pheKlBsqAxEXDmZcDAhQ98GWUzRvzvv7SMpFVk9PPx/PnYKnHFFGbaO3X1isGVl4LhxAvFC0QqlCerIw8UkxYoMfQBFIstttgiesfhZedfjPUIQrS3kXtQ/FG+wN3Xj7TrEYR4MfBSomxg/7Of/SyWy5eBujQiCBGGjxHpgAMDIRQa6ojQf1H6UGx4ifr0KfP5558fFWY+VCgjTEZZPWhzlEtv5OZZANeyUo8gRBo820xm8fEHMy+NCEI839SbuvGy9ZN2tC8vfiYyCFOGIEQ4njX6HWlRf54rni/u8YfyKxECQkAICAEhMNwR8Mp/K+emp3i9pB2YeoIQYwOIF/YNR+fOGeEbEYTMiyLpFE1E45nT8smRTrxx3hY4WHh/xBCKjohx2F/354xJmEzPiScIobNhhPBx7ZxxSLogwqeHrseA28KnR8ZoOYI8aUDet/CEY3Lbfvsj95oRjIUYnXwa/hx9EP09FQgXPpw/hzjSjNh4kTTKeLylPJYfBBEvvlwY13JCfMbElkbuiHEKQzhjLxN0fBsf5OJwjXEDBvuiZ5DrjAGL4tt1iDXpYhXawu77I+O6nFBexuo+rD/nGSyahGPsYmEx6vg2suscmVzwzy+TM4wNfZjcOeM1xubNiB87YcTzE1k+DzwBp8Y7DKG0KeEYvxRtj8h7ArsE4WiDonbMldtPVlCGMuLfB+l2Ht4jbG5yg/e9jYt9/dNz2i8lctK+fgImjcNv7jP+LRI81JZpayYEvCHcP79pvoyvc8KW995oncbj3V5kV4HoaOExJpunbLtmRwyhrQrjbUunHkEI4pyFY8KoSMxjM2EPPvjgHsEY31sa5GXn6RGDez37Au9a/w1N4zMR4d9/PQqhH0JACPQbAmY3xFbfyliAOAM1HmgEAuQSe7eki2fxiGjfWwtjR/SaW265pW7y2K09adri2hFdvWhyCxKkhYM8jd3WfvsjZBi+7Tnx788i3Z14Dz30UN3vLQsMmtE1cmXhmp/UZqIXYVLX7PrMxxQJ9mVfb3+O7mVShBNjqJwwEee3BfbpMuGam2/y6bDwg7kBH8+fo9dhZzZBV/D3/XlKtrU4zNEwmenD+nPmKIp0RtJgYtHmtXw8ztE36F92vVmCEONrCAUWP3ckjyLdifa3OOhQXue063YsGjNRR3QJJnktbHpkot+u9ZUgxHifSWNLjzbOLTj2OneOIOTHa0XP8IMPPljLBwJWKjxHVg5sIZ7Ybtc5gi0kQ95pRc8I7XTOOeekWcTfniAE+QUMffp2zvuonic2vhm+zBbPjsztpYsRrED+HUB7+vebxecIgS5n97F00iNzxb4tfFqc835igVMqzLmlYe03c0nNSLMEIcbGlhcLsLz4cuUID4RlPAcxy9LIHak3JK6U5Ej/t3d2Lh7XGGPWeydBdix671qakCPSxQSQoex+ekzn6w2TvnzHrZ58C1iklubJb54b75gBMp7nLeTicI05bZ7vZsQThNhZBRtnLn3e6Tk8jI9AnKJ3DnOqNnamjVLeQr3yNksQ4jk1HYvnuUguuOCCwrEx71/m++uJOd/IYYUNgjbkHmml4nUxyFg5ASPSyaXPNexB11xzTS5qnIu3eKRRb9xc9B3NJjxAF3PjgT4RhCCoYODJGUL5eKUfOToQyjST9inpBwxIL42D0uK3MTKsIO3w4rEGIW3IBb4slCH3QWiWIIRBDwOUdT4M5yiz21cZvigMfEx5AdlLKCUIUWYecgxtlgblJh37yPMAW92LCEKkgUHRv5B54TF4sXRIl3NWVDQj7SAIYaCzlQW0By8nDE2slkQxpr3sJUI5U4IQ5WVwh4LocaJd/WQFOKPYsKrRBIMg4biXsn5pP675vMnf72vciCAE8YcBlrUx8fnDyOaJLmUIQuTFc+DLAzaQu6wPkDYvOZiMJhjbwNK3NeH4TZ8jvJWLtFG+WO2ce9YszfTYiCCUhve/GxGEGFjaM8tzykcOZjdtA+OYuhsmnEO6S4WXMxMG1JOw1h7UnbTtN88Ixst6TPY0bf0WAkJACAgBIdCtCLQ6EWDxbILUBhPtwiklCEE88IPg1Aso+Q40Qch0K/Q0jAKpQdnrX+ii6LGe+E989HevLxp+niBk+ZgOl+aDzpQT2sb0b0sDHdsTpbiOISo3UeAJQhYfnQpdm3S4hh5ej6CUlot8mDCw9Dhi0EoH4eh7qTdN89Tj9V3wJG6OzJXm7X978kl/E4QYw/gxGnVGP8fYmLYl40rfFowf/LNAfTEoszqQ1XkeRyZFcsK22z6c9SPGA/RLf48FB16a9SDEBL9PD3sAz63p8dyjDzEGS8UThCwN2ppFE6QBhqTjSXV4XTKjl8Vhko8+yrPl8wVzjKzNiCcIWfr0TYw9KVkIrzGp+K1OilbSs9rN0oYg1oz4yYqBIAj5vkiZGZeDBUZA/1yCezoJx4SWtRXjPYzCkGcY6/nxPe+UXP9g7EabGlYcra2ZKPFtzXjaezajLLwnaDuLT5m5lvMgxDvNty9p0wfTiWEM7TnxBCHLj7gYmG2re967fSHDlCUIMQ43oh/fJE+u82X3E3HpxJgnCFl9aEOezfQdxqRITpjM9pMXjM3B3/CwdP3EcC4dXRMCQqD9CJgOj95o+n2zx4EaD9SrPWXw5AhPCmZi0t4zHNFFeIf5eQL0jN/85jfZLJgwMnujpYN93r5rdo3fOaKkn5SysBzR002ntuukkRsb+An0IoIQ3wb/Peb7yvfGv3/JJ/WGma10g4v+W4dnORMWSZAH73m8SuQk50GI8QnfBe9ZhQlx/+1FryQM8wipeM855I+OQHyPB99z5oxygucIr0uQBm1Dn/J6Ct8tmyxnTorykBfh+aNfcA3yfiqMZ9P25jdxLD5H+qYfD1g6EDI8eZm6oVvg5cDrLZZWswQh9C/SsvjoPuhqEH18Hbmf86boCUKWBpiCIXpGOu5ggXVO/CJ40iE+JHZfd0sfnb9ZAReLb2NIFp3bNbwlpfMlXuceCIKQlYV2ZcyY6sDezkD/pK141n1f5f2WI+h4gpDlw5F+mGLMmDnXF8E81Q95RzK+tPkX0mS8CikuFU8QsjLQn9Nxn5/fS9PI/WZBvaXHER2YsYrHhet4bPFCGXlu/fgazLnG+LYZGUiCEN85Py9K3fiNbYrxkMeCtsS2YMK3H5KEvfdoP+anITem+rmRQC2uHXHS4PPgnH7Eu9djyfXUqxpp+v7Gdxm8+ct5EOrrd9z3S8pDvcGEd5ONlfDwasI7ICU58kxhH+G97ceVPI/MbTYjniBkGFJGyuQ953EPG1Eq3mMfBKOcYE+ztGnbZqRZghCEF8uryHtyal+Eu0Bf8e8zMEjtCFbu9N1FPNojR5rlXipeF8sRhPhG802xenCkLbz+xTX6C7arVHL2LN499OlUHyGddEFVmt5A/86NB/pEEKICMCDpEHzIUUZpGHvpAALKN8oByh4Gop/85CeFRhI6JUomH0Z7oIsIQuTNSikaj/BmkCUeZUDZZlVBjoHaLEGIvDB2YehGWbKyUT86AHWjEzBxwLUcQQh267hx4+ILmJe4lResMLjAajQFG4U5XdlJGRAMOWBCXtTTysKRBw4mIgp8urrxi9jF/9tBECL1yy+/PL5A7aULHvyhAIALyowpi7xoU+HFzMQA7iipo1fywZoPDy8FPvIMZk3qEYQIc+GFF8Y+6l/szRCEUJQYRNLfKJPh3gpBiDqy2gOjP23v0yNd+tjss89ewdDv60g9mNxAEeJ548XolR/i8hEjTcgx9CFb4UPcMtKfBCEGOXyEeTZ9u1Ju+gT9HkWX/kI7NSIIoQTZB8Lag+eKPoIiz0fbXnr3jMKSAABAAElEQVRl6q4wQkAICAEhIAS6FYFmJwDS8PY9LTIctYqbn4i2ASIeLUxP5vuermgbaIIQegX6rRkQmZhg+xzTcTmizzP495Oy6Hp+UjW3lVlKEGLy3ya8wRqiuOVDHjmSC4QEC4ORh5XPJhg5/WTBVVddZbdqRz+AJw/q5vVHJiEYwzQjELqtTIwJ8BZifYcJFepp9zHI5ITBtYVplvBh6WF4sTRy2Fk4O3oPJM16EPKrGPEYkpaZ1eakyWRHqt9b/hjQWd3qhTGa91DFeI9xpRd+m0EfHRujih8L0mdpA7Bm+4WcsFLPsKq31bdfRc1Y1E8cMEGEwdjSyeWVGlTwROQJ/UxapFtjsIrb0qQOrPiz/kRdiIMxEeMj4/xmJSUIQQgxt/5g543QPE/+OScvyGFWPsb0OWFsZmHK9EWfhp+s6G+CEGQsG1dhs2AizfdX+iOLuhjTF61YBjsmYtJngL7jJ8fwmpaKfwZ5VnJtTV/FmP/444+n0eNvn0fOFmSRMLJam2A0tncv93mv2jib92JuwZqfNMUexfPr+yX2o1w8y7/MsSxBiLQYO1t9cpNxlMXu0x9TSSeA8DDE+N0EO57/NvuVtxaGrW4sD96/vq/z/eGdYfdz3qssHR2FgBBoPwL2fkKnT/X8sr8HcjyQQ4A6oGPZe8Rv08K32U+gopdbndGJvPe8om8p3yVLG5usn3RHv8CWafdzi5H9pBTh8BLjV/KThicAoLuk4ieoighCnpiMXdnISoxVGCfZdxydMEfGTfMs+s03wCZ/wZZJNRN0AMOi0QJltqu0sKlXQ0uPLZ8sjLfV232O6CCeSMTEn/VJvvfm9Z90mF9Jhf4AYdnygVDgPTaA1fbVheAQ9XOkJzz0WVy2mykS5h8sHHZr/71jvsP305yHAj82Q6fxugT9HP3a2ph8miUIUW76Ch4ePCGf63jG9GMa+nwqKUGI+RuPI+QET8ThWUrljTfe6KFnoVua0E7MZ/hxdLsIQui5NncHdngV9uJ17oEgCKFX0ff92JuxoJ+7opwsFvfvEvonJBvrZ/TbVNJJdt4tzPmYQKLzelnOTuDHbYzpfTvhJMCPtVPPlOSTEoQoZ6Nxn5Wv6Ei+6OZWd0iD9m7i+fD6PeO2HBETz1YWHy/BrchAEoQ8aYb3KXPDZpui7K9Ut4hHB2dejfOcMEeGbcnbEUgjJV3m9HvvBYj3jSeDkQZedVj8z7vAp2/lwGub4Z2b67Nw7fiO+3cj5fZjEb4TkJ08dt62wfsOu5cf/6A/8G3nPZZ7RqzsRceUIAQx0b4vlMN/Lyg75fHCd8nGX5Bn7Zvnw/g+759RH6bo3BOEGM/yvcn9/aY6J+49SPOO8p58LX2eRa8roVdhT0H4hvtvA3O6OfHx4ZxYe4AXdiJIZtafeIel4nWxHEGIMa3Fx4YGQdH6BO9Zb7ehT6fi34ukQ9/3dgSeD++NGYJvJ4npxn480GeCEBUkQYwXKHGQclCaILHARoSBCWsdBcczGIuAgRWJsoNih7GOFXYoDjmh8XhwUMyZYCBP4sBC5gVPx8sJDyJbGBAW1npR+mlc9mAlHsxqFAXy48XGw8yDQqcjTR4Y/7L06fCQ8WIHFxjb1BMFHiWF9OhYfLQ9M9/H5xzlH2WcsvNhYHDDKlMmGVDu7MOYxqv3mzjstUj5+eOFYh2mXrzcPZRfDKmUDZzoBxi2UXIwoPJwk0eOaW/p8QJndStbCRAfrBgEMWlBm6dlwwBHHwCH3F6y9AWUI9qGMOTv98N9pfoBxZDJdfpwjsVKGpSfMtEHCEud7EVF2fnYQF7iHnnRL3JC+emHtD048OKgHUmXvWbTyTCfBi9WPr6sYIWJiyGagSd5ouTwwec5spebj9voHNzpm6RFO+U+7EVpYFTAGElc/lAA0vhgSD+jP/CSpX9Qd8hQDLB40RMX1mxuezDvQYi41JM9b8GN54eX8gknnNBy/YvqputCQAgIASEgBIYyAmUN/0XhTKdI9a++YpIjCJEmOrUN2jA8eV1roAlCEH1y4j3k5CYJiDNmzJhaPXLbY3mCEMSK3NgFHcewSElGtIv3HpTbT90PgHOus70RGh24HeLdOZN+KhgivIE/Z4gaagQhW4GHwdL317TurTxDpOdXtDMm9QJRwvoIY6Z6Ys9yGqYsQciTEI466qg0mThOM6MtRiYmGrx4gwqrHssIz47VLyUP+fitYEt8xh6WPhOIKUb8ZnGGhUknU7CFWPtDKvGGb9JnzGdxcxNWhKknfrKiaFIzje9XQqaTcX6S1E9akUaZrfQI1yrW2BgMC96hqXjSTW7SzMLXy78MQQh7ik2KcMQWkAoe7Kysufe3Lyv2oP6QZghCrE608vLdSIUxs93n25SKJwgxps4JEzuWRvpuxw5iE8kYsnPvdewtFp8JSIkQEAIDh4B92zgW6fuNrlsa9d7BrdTIjweYCMfum/6hazOZZO8Q3jN8H038Foq5dyCTfH61vp8oJw1sl0a2ZpIu1bUI43UYJp5THPykFHkx2ZnK1VdfXatDrpyNCEJ+cpxFo8wlpAKGhlPRGCWNk/vty5p6hWALG9P3INTUk3YRhBgHWb2YJ0iF8YX3ppGSeCCdWHz06qI5qhyhgLzKEIR4Rrz3IOYQUvGLO3K6sF8YAHE6J8yVWV1aIQjl0rRr6O62sJs8UqKaJwhR19TuTzqMXTzBJx0PMOdl5Uf/yAk6qoVpF0GIfLwuyljFz/94nZs5h1Q8ecq/f3y4ZrYYS8f2lg47WFjdi8Z2jzzySC1MbqLdE4SYUM/puozlLJ90cQxlYX7I7vNOToUFMPYeII/0necJQjmPYGl6ZX5DRLIyoYunwjPo7TSXXHJJGiTOnVkaQ4Eg5O1B9ba4Sr9JvSpecIE+ZnhAoPHC822ENb579aQo/7IEob5+xymbEYRYVFX0Lvd1gChpdYdkVSRFdSsKb9c9QYj3ZfqMEG7LLbeslcF7N7I0PNkk9bZF+5huwzjMkw0tfr0jGFn9yx555vmO5cTrQZChUuHb4Mfqqbc/iDZWDgjVOY6D/4a2QhDyBCAWgqbCYidPQkrfnV4X5NtkurFPB53TvFdSxhyxy4cfyHMrL0fT+9tCEEorQedE0cJI0OoDlKbZ6Dd5onDkDOuN4jZ7nzqhhONuknxbEUgelNfiY6TCww4PAQoiH/pGYg1JOXjArIEbxRuo+zzE4MRD0Zd+wMuTNLpVaDfqyDNjrMpm6kqfB+dW4jaTTzvDUmc+QpSbl1HZvusJQt5ATl/jecp9ONpZbqUlBISAEBACQmAoImCKf6tH6lz2W90MPn5CwDwIEZ+BrV+RBnnaZKAJQqlR1MqBwd0Gr5QpJ35FEit8U/EEoSKvLd6lc+qRhRVFVgZWjOWEwagf4NIHvHiCULNbH/l07Jz8MMhQLgbDjAdz4rfESldvEn6oEYRoX2uLIoNJDoey15gIsfQh23tBBzbjLKuS2dKhWSlLEPIrutDjc8LCBStrajz3BpUibztpmhjKLD0MaIx72ymeIFS0SMdPxOTa17vbTokTflV8K0QSP1nhxz/1MGiVIIR3aMMa413qBahenmXusbjD0mcSLxVvGGZSopW29kbHovcPHrWsHEVEFVbnWhi+R6l4glA9MlMar5nfzRCEePfaxCheI3gveLFvKu9l85Dl73uCkF9I5cOwGMgw4R3uxU+I5SbVCIvNywz3kEQlQkAIDCwCZpft5PGAvWPqHSEHjR07tgd4LDK0OOmEkwX0k+6p7u7JCPXIvH6rxpQI6SfGUkKNlYF3s5UTkn8qjQhCflyQI6+Snn8f16tLmnf6209Kp+RowqKTWF3qTVq3iyDkPQ8UTep7fS1dPOy9hqD3NitlCEIsQDdMcrsmkCfzQJ6Mlk7oenKD92Lly+u9frSbIEQ+3juN907LPU8Q4nkoEr9gJF1w48fzOU9apPlKlbxtWLaTIETa3gbB5LuJ17lzuky7CUJFW894ch6Ev5yg96HTgRHHVDxBqMhrC2NGwzg3xrAFKuhutuVemg8kAEsjXezuCUIe5zSNZn7zTrP80oUOlo5/T/Lcp+LfBUXvkjRO+nsgPQh5z3m7775728kG2NoMU9uOz9cXEqjdT+0QPlzReVmCUF+/4+Rv44xGZCYrK982qxv2p6J+buGbPXqCEIs1csI40sqQ20YMEovdT0lxfoFIK4v9miUIYQsqGidSN5xNWFlz5BvC8M2yMCkpC/3N7hVteYcOa7av3LvP62KpByHimpdgCFVF88j+HZGS5sras7y+6L3sgcFgSzoe6BeC0GBXshPzZ1IFAxsrPFNDFwQPmLi8xOjgGCmLPBB1Yt1UJiEwUAgUEYQGKn/lIwSEgBAQAkJgKCLQ6kSAxaPONohoZ/29cc4ThMgDQ7MN/BjEsUIN8QZFCDapQJSxQWVuhQ7hIaRYmJwRpJFxnjTwWGhppJMM3EcaGTY9QSi3uo00WP1q+TBh7gVX0XaPSXE8XuT+zLsJYSEAeGk3QciTltiCuUj8yh8mbFIZagQh7xkDnNnCAK+2Z511VvSq6d3Cp3X1vyE00EYYqyCroPuyss0b5nJedDCcW1/gucGzJriCM89S0bNgeZchCGFAsWcSN/O5vsY133bpBF5Zg4qVi6OftKOOEAswdGNcAgsmT/ryfvIEoXQSxMrB1uaGL4a+VDyRA+y9sIUFccEsJW34cEXnfrIiZ7zPxWuVIITNAvflVldWvjGxByGSVewY+ssuyOJdQNvh2QzjOyv38cZsaecIIn41NOGsrbGV4Lm3TFuXIQh5LwQszirqy2ZAxPiYkmQ7jSBEP/De97zXAba1MdzxypwTTxC69957c0GiQdjSSb1B+4ko+nwRpkYgJZ0yK3uzBdFFISAEWkLAvpW8x03Hb+ZIppZGSwUoiOTHA/aOKTpCyE69/5DsQgstVHvP4Qkj9w7yZGu83nvxXkXSCTgfzm+xkY5d6k1KWRqQQ6xuTL6n0mgM4r3BgUWunkwSWh6MAVoRCJ32DeRbDBkhFb81Sj3M2kUQ4ntt9WI72FzdvaeFlEDlyfxFxJu0jv53GYKQH7cxJs2VkWtGvKA+aVm8pyy/bYkvS7sIQuil6LBMyjLugJjCONkIx5QvJX2UJQjhjdDaK91dwffjoi1rG42jPR65cz8JnY73mXODQGDlM53J69yDSRDyk+RFBCHq7L00pRh4vSy3rS/hef8bBimhje+E3UN3K+rLNs4h7GWXXdajGP1BEPLPTtGYBLuRlZ2FK6n4yf+hQBCClGP14YhnFd6BjN8pf1nyAfPRhOV55HlnHM13i75u6ecWjGHTsPscsTtAZOFdwbaJRYuGDPeyBKG+fsfJr1mCEGMRFlZY/ejrvOsZs/IMMY9fRCKx+tU7eoIQO87kxNtHsEukQj/HYyBlxFuQ/x57Qk6RHSNNz//2BCG++ZAg0z+/NWoR6cfSHDlyZA1L7DW594YnH6ckIMb71hb0uyKx8WSzBCG/AKieVzNvc2YHHy++veotePOL5vjOdpKYLm/jARGEBqB1AJ2txVCYGZCwFRtGFz5YMP2YHEDhtgedLaL8wz4ARVQWQmBIICCC0JBoJhVSCAgBISAEOgyBZoz/ubBUxwYR7ayanxBIjezk41f6YizFqO4Ha8OBIOS9EKXkAO/NwQbSjY54zvDSboIQYx4rQ71Vy37wnxrwKZ8nmbTqxcQ8ZlAev/+8r78/xzhsZU/drGN8s3u5lYgMrv1KagvrjxgJbrnlFp9l7ZwVnEzc22SMj5ee5whCTC54YkcaB8MX2wPRPjkpQxACwzTdRr9Tg3xZg0paRk/Iy+U5++yzV0477bSad940fr3fZQhCV155Za3uuZV9pM8WfpQNzwZMrCHeI089A38MXPDPT1ak74CCKJVWCUKkx0QQWy7kcOYaq94x9hWR3tjWEIJcUXy7niMIkT8ryS1M7siEG56GzBMzcbyUIQj5b0suj9w1CE9eOpEg5FeCewOz93hXtFq9rwQhPxGXwy93rRVvZ74NdC4EhEBzCJgubxMCOZ2/3jVyszSay7l+aD8ewCMf39z0j8nMV199tTChet+t3Ptn/fXX75GWJwKzhU2ReA+Y6WT4QBCE/GRgrl7pNSZLUw81RXXz15mXsLSK9B68rNrWM3iwTBdDW3rtIghNNdVUtTJZ2eod062ZbMEEZPeislqZc8cyBCHvuaRe2fy9dGwwEAQhCNwbbrhhjfjvy5OedyNBiPb142jIQpCGvM49HAhC4MC4hTbHm4YXtllM+0Kj38cee6xPIpI5LU67PAjVIwZY5nwrLN/cFutDjSBEvSC1Wp1yR7arZwvhdEEDcenbe++9d81zWS6+XcsRhNjxxHtDsbB25DvDe75ogUFZglBfv+PUtVmCEHGw89i3zOrkjxDxGEsVbUtJGkVShiAEacvyY/urnGAvszDm0Y/vmBGHct5uc+mk1zxBCK/jObnqqqtqeWOjqyezzDJLLayVt94xtRd6G2F/EITKkhZZvGnlTm3OZe1ZIgjV6ynD8B6DL1Z+YkxDEcUYxgO19NJLV3iBs5qQTsfLiIGRvAcNw06iKpdCQAShUjApkBAQAkJACAiBHgjUM/aXuUdi/T0hkCMIoUN7zym4ih9uBCFWLdngNDV0e/fjFqbRMV31026CkCeRQFIoEnQ6K2tu8D8YBCG83ViZ0q0hGhGEqCf9lf4599xz19Kx9OyI0QqDtBcw8ytALSxGMsaNeGLCaGvXcwQh0sMYysQVkzQWNj2SXo4kVIYg5FcMp+kW/cYlupeyBhUfx85pA54BM/zl8sTde84wamnkjmUIQt61N+SYnPjJNMb+iDcKYhxtRfxkRVmCECviDJ/U08KoUaNq94pc80Pc4BkwI7yl5Y+8m1O7hd9OzcJCeqP/4pLcE4eKCEJgxEpZFlaZxypLyx8hXOW+S2UIQt6Vvk+z3nn63HQiQQjsjKiG9yfbSswwYUv7ooVofSUI+e3h6uHo76VbjlB+iRAQAv2HgL0zy+j+uTCUzNJoZyk9QSg3HiiTV06P8u+b9JxV7l68Z8t0SwofDk8cllaqzw0EQch/e6wcjY7vvfeer0Kpcz8ZzAQk5Jrcn5ELKAPjkpy0iyDEN6xRXf391DuAfQsJU7QFaa78dq0MQcgTyn1Z6p0Tx0t/E4Tw1pjT75izYrHBAgss0IMo3q0EITD3nizweOR17uFCEDJdO92SyW8LXK//+nsQPL2UnYz3cRqdG4mExS9F8vLLL9feFbnt6QaDIOS9zbKFnxcWQxmO9QgYeLTxW6xZHH9MPTPjRdhvGWhhmYvmu8lWl95jWI4gRFnxNsZigHoEEMYeuYUIZQlCff2OU06zE6T9mXv15OGHH46Ltbw3IcPKjnixa+SVOc3D2wKKPAiVWWDnvdPZ4jq2+rKyYctpRcoQhND7vH2r3jZz3nZrZat3xGuUl/4mCHlvxfW8/7Dgycp9wAEH+CJWytqzhgJByHR9eRDq0cT98wMjDEY2XJHmlDA6HC6x+JC++OKL/VMIpSoEugABEYS6oBFVBSEgBISAEBhwBEzxb/VIgQdrQoCVSDbQR19mWxMbrKWrOShnmS3G/PYyqYcT0mjk3p8w3qMJpJCcNHKNTvmtLkVbjOEC2sLgStqLH+CyZztjjkZ/KXmi3QQhXExbeVNX5b7sECgsXG4iZjAIQqx6tDJBIPBShiDkwzMZM27cuArGBdrZT0pgsPLtwApey5fJfdo8NT55EksRQcjyJ236HiuSzz///Og5yI9BU1fOxCtDEOIdYKvrmCRq1Ne4n743yhpUrC65I+8x0mE7ELaeWmGFFWr4gSNb7zUjHtsi19y+v/Ls54Q2N3wwCCEYXSkT5JgUi1wauWt+sqIsQcgbeiF2eSlDELLwtCEENgyBEKC22GKLWh2pl39O8LBj72ruYUzDtkEaJt4AXo8gZOEh3VlbY5RO2xpjaSr+WSuaAPTbouA2vExfTvPxk7SMUftD/GQCWziUEbbqAH/+eP+wxaD9ZvVrkfSVIORJn0ygt4JpUdl0XQgIgfYgYN8h3q2tjAkohaXRnhJ9kUo7CEJ+q9U33nij4TsorYd/h6VeJH1d2TLD3qmpV86BIAh5fc12H2j0vvXlL3PuvdFZXcscIVvkpF0EoRVXXLGGvekX9eqetrHfYs62rs6Vt+haGYKQ3xaX8PXKZ/f8mIC8+5sg5L1MQpSDrMsksRe/nVs3E4TwhukXYbAIwPp6qwQhvwV46qkMjBmHWR45MgVhBmqLsY8//rhWFohhXvDUaQRAthiy/lrvmD5z/UEQYkxl+FH+nED2sDDpAivCDwZBiHG5lYl3kRc/PqpHELI42AmoI4QhbFn+nUEekLtMGCtbvmCHN5iUNHrUUUfVwhQRhCw9jm+99VblrrvuquB5j2fGb/uW22K+LEGor99xymZj0WYJQsRFPv/88+gBGHsL3omxsVma4IgdsRkpQxDy/ZXtvYoE2xplgEjF88m4nN88p+g9rUgZghDpev2G70ORQLqx/vbkk0+Wem/4tPqbIITuYOXjuSmSk08+uRYOG4SXsvasoUAQsvGACEK+hfvxnI/kBx98UMENGPsY8sCjbEAawo02CldqCO7H4ihpITAkEbjzzjvjalJe4rnV5kOyUiq0EBACQkAICIF+RqCVSQAfh+KlBp92FLnshIBfrWsDOo45gpA3kBTtx+63W+l0gpDf9goDgxfcHBseTLa3sj96uwlClI+90SkXxgoMSDnxWyTkyFEDTRDCOO9X17Eiy0uzBCEfl3OML37FHfufm9B24AW5xLamsnt29CSWRgQhi+OPEF+sr7AdVyp+wglPIEVihBfSSj2qFMXx18saVHycMudsn2b1w5jXjHhsiwhC3uMMxtgiMbIXq3GZOLQyeSJNUdyi680ShPzEBESudOKpGYJQrkzezbgRoQhHv7T6brnllrmoFW8AL0MQyiXi3x2nnHJKryBlCEKMKa2suQmgXolmLnQqQcgT1djOwX8/2YqwSMoQhDyxKv0eMdlqmKYro4vy1HUhIAQGFgHT5W1CwOv6Zc4praXRzpKXHQ/Uy9MmyngPpd4y68Wze347ndwEJ+H4ntoEHfngpcKLn0DLkd8JC5nW3pW5yalGixT8N7jeRKIvV7PnlN3KiLcOJiPr/RmJAD2WhQKptIsgxPyJlWts1etns8JWaRY/9XBZJq0yBCG2XbM88MbTyths9dVXr6UBUTgnftI/nbzMhbdrlMc8ZDCBXkSk7m+CkF+sQ11y4knSOS8wuTj+GrhYW+TG+xbWbyVj4Tnm9EO8a1qY1POTpee9SHU6QchjzHgoFa9Te9JJGq7od38QhDwBASJVTjxZHj04lcEgCEE8tb7DvLAXPz4qQxDycTnnu4zOb+l773b+/WtbU6XxmyUIpfF57+GBjPwh05gHUwtXliDU1+84+RmZp1WCkJXZH88666wats1uGV6GIOS9gufsm1aWY445plYOSM0TTzxx/L322mtbkKaPZQlCEKcgClofu/XWW7N57bLLLrUwLFRrVvzCFsamRWJ1ZwFpKvV0MYhVtnCOuHjGyonXS1PbW1l7lghCOWR1LSLAgAK2LR2SP855kaeGO8ElBIRAbwR4Tnhu+DDx7EiEgBAQAkJACAiBxgiUMfrXC0MOgzkhwMAVUoMNSO2YG0DjZcfus7I2FSZFvIv6nMGwkXGeNNvtQchcBaflxbBo9bn00kvT2xW/mpZFBzlhMqKIqNMfBKFvfetbtTLniBF4NLGBOUSK1MMJdRhIghB9G0Od4cwWXTwPXhoRhFh9i0tv9NQi8eQ1DIEI+izuuMmbiYQiwf2ylS81UhAHL1b1JsT8hFTqypn4fpVUjnRBGIQ6WjkwnOTkH//4R4WJtpyUNaj4uBDhMKqyyrdIvPHNtvcqCpte9wShHLmI8Yd3l120LRfpepKMeRMCr1bIVFbOZghCr732Wg+i2957723J1I6NCEI8sxBoisSvcvSTCZ48clR1JWpOWBRl/SdHEMKgTFvXWwVJ2pZGzvBYxoscz7cRGUmraILhmWeeqdCfc9KpBCHKapOYGMlt4jbdaiWtkycI5b6thPfeF1jh6YV3n8e+6H2ERyotjPPI6VwIDBwCpst3I0GICVH7NqDHF727izzH8K3344Pc5JffzoP3XSp+UmrppZfuNUlKeL8dac5T0bzzzlurR+rlgfhMxNoWO7zj+SbnhJX79XTSXByu0Uc8DnwHGwnbuxr2ubGXn6AuKq/fovT000/PZum9PIF/qqtbJHTNnNx99921cjIOwVNSKvV0WP+dxMNtkfgtgNCvc4JOm27TauE8kSlH/qGN/BZwuTCWVnr0BKbceIDwjE28J8r+8CDkCQNF5B+v7xWFSevnf5clCBHH68bWl3MEoTPPPLPWh1ickBM81lganUIQwgNn7p2IHcTKyjbVqXiS+eabb57ejr/5nhQR0PuDIMQ41cpMu9l3zQrHe2H++eevhWEMn8pAE4QgjZk+znv7iSee6FGkRgQhxkWUmTFxkWBLMlz8Qie+RXbd7A9pGn7xRc6DEN6P8LhaNHfNO8M8O7G1dNrXICZZGbATFUlfv+Ok2yxBiLLjBQnP3EXiv/1FNruiuN5GUbQVuidGjRkzpiipSEq2+nk7Q9GYqzAhd6MsQYgoXn/BE11OvKcsdImiMV/Rd5ryWB0nm2yybJ/3ukCzBCHK7HUSdI9UsNsYvhxTXaysPUsEoRRZ/RYCQkAICAEhIASEgBAQAkJgUBDAUNKXPwqdGl/aURG/MuP666+vmyRGXRssmoEhN4nJ3t52nwEjv5l0pv4Yc/2KSMJ1CkGIsuB9BA8mGNowHHvSCit3GTCn4g0u4MPkPp6TMOCwiveiiy6Kbp8xpOdICv1BEPIeTKgXhhHyxg34zTff3IPsxUR2TtpNEMKww2De/2HAwHNOum1RjnRQjyAEOQgDBnXF2A6Ri1XlPDPUmfueNIVXFy++rn7FH2EwqnjjLHmkBCE8/nCdP/CkT9D21geou/eOxOrXVPw+62wRQR969dVX02BxMmOiiSaq5cfq9T/84Q9xMoGyshUVWyExeZVzm1/WoGIZYwi1SRCeAbaBY9Lrn//8Z/yDbMAEgJGswIA8mhFPEOIZgvjBiloWJOCG2k98NVrVycpsymntwbHIgFa2jJ4gxPvL92HOmWy77LLL4pZekNssb85TgxZ5+kmQlOy05557xvgYsVmpzxZevD8xnkIypH96EggrGU28l6q55567F6Hr8ccfr+CVwcqXEoTIx1zLs+qTtNO2hpjp25qJh1S8IRxvTzyLeHJOxZPiWIUIsQwiHc/tK9Ut+uhX9PWVVlopO8nbyQQhb8g2vBsR5/zEJ3FYicykIEZ+Vo3vuuuutbabaqqpsgZbthqw/GgnJnkhrfEuYlKC37wreaaLJkbTdtJvISAE2oeA6fLdSBDiO8W3x95BbNmK3s87DJ2B9xnfP77z/5+984CPozj7/6MuWcWSXOTeKe7YGNwwYLrpb+gktD8thEAgAUJLSEgCJPASAg4JCQnhDRCaQwnNJtjYgMGAAdu427j3Jsnq0p3+8xsx573R3ulWOkl3p9/4I9/e7uzszHf2dnZmfvM8sAbgFiC0N+fjPQaWRfCsQtuA92nn+4+be2GnQAjpwNoQJu7QBkGYYaeB91A7oM0xecC7GdownOsMTkuonTt31vmEBUrUL97f0H/ApBbK69Z3cKZlbzuFG7bLITuu+f6f//wnkGdwt4NzMq4lAiG0JSNGjAhcC++2eEfC/Yw6huUB4w4mlDDHKd7Auwbea/CuhPd11AfeQ2AJAxzsACv2pm7AGG2j2wIMp3so3G+YcMf7JPKPekJbiUUBWPyC91g7OK1JoC8La7K4j3E++lPGWqXJixeBEK5lxD/Im/2ujnvNaakJ12gNgRDe743FEVwDbM07Kz4xaWsmaHG8tQVCeEcxfTnD1U0g5HzXRTxY20KfHX0GvJM7J/pxPFYEQoYh6hsWM8AfzyvzTo17wU0wh7IZi1NIA+Vz9vswfoPfJOrSzTpNawiEcI8a6yHIE1y2QdyB5wCe+ag37Mcf+ixoG+wQbYEQ+id2/wxjVxBUoK9s8oNPN2FoOIEQxEHGgi9+u3iXxkIc3HMoM0ScaBOw6Arpoy6dQqCrrroqcH0s9DHvAWACESnGysy5ON8WCOG5aO6BCRMm1OP5ZN7t0XfDM9j5jHezjId7xjCAgBf5R9tmi1ij0Y6j/LhWJBaEcD1YvUV8lPH666/X/WqMaSBv4IgFMM5FJXh+ewlOgRCug3YZY2UYm0T74XRxj2cQmIYLcAtpWOITLhJtQVa48+1jXgRCyDP6gOb6oRYUOcdbIdZDPFwH4yQYezj33HN1GhCduQXn2Az69XiO4Fy0o3j3cv7+myMQggDclAH3C9obtOdgj2eaUySN9tAO+K2b82HRLFSgQCgUGe4nARIgARIgARIgARIgARJoUwItEQfhXATnYEK0Mu9FIIRrOico0SlzEwhhsAQCBdNpM59msMB8N5+xJBAyeXLLKwYPQgVjLcKcj0/nQI/ZDwsSGFx2htYQCCF95yC6ub5dLggpQpkrd4pmnINczrw3te1chW3y0NQnVu263evhBEL2wI+5hlsd4Jgt8HGuhMRxTHDBVDQm0Y2lJZOmfT4GhGyBk4nrdn0M6rhZZ8HAqjnPfGKw1y04V3mbuG7XwsCcPakV6YCKue57770XWClvroVPt+thv5v4yaQV6tM5COW8hn2/4hhcezQVsArRmQ5+Yy0JToGQM91w2xhgnDt3rutlQwmEICpzrrh1pu/GG1aVnKsCMXDnFABh8A6DepiMw8C2zdMWCGEg3VhFaOraOO42wI4COwfCTTq33nprIxZwq+FWXreyQgxkh1gWCKEddA7gYvC0qQFnWyBk2Nn1hv2YtHYLuK5ToGXScGMaaiW6W7rcRwIkEB0C5v0mEQVCIASRspnwDvf8wTPJFsjifPR5jCjZnO/2ifdptwk5WyDkdq7ZF8oKo/0Ogfi2ixwIKJxiXZOm27PWzZInyhoqOEXR4foezvPR/mOS0uTDtjrknDxuiUAI14TAwUxWm+u5lRttly1swfkQKzvF1EjDrZ1DHFtcPH369EAZzbVhWc8t2CIexHfLJ0Tkdt8M3+37EGIZt3ckpOtVIHTLLbcEyoGy410I/Q4IrpwiOFNGmyMsv5pjyGeoYCaBEXfOnDmNojnd5Zj07Lox+1tbIITMOUXOuK6bQAjxIEgx+TKfbvcQjsWSQMjkFZ92fkMt2EF5nQIGk4bbvewmHm8NgRDyBCsrJi/m0y4TLNm4iZZwfrQFQiYPTX3innL2nZAXhHACIQhy7HYN13GrA+yHeNEZIM5wsoH4AX0ziH3sRS043xYIOS0TOcvndn0wx+ISO6DP5TamAUGrHVrajpuyRiIQwjiU022Ws3wmHec+tP3o63gJocaJ3NK//fbbm0zauagLeXProzaZiCOCF4EQTkN7Y5gcffTRjpQObGLswiniQXy3+wX73cS4qBf0Xc118OnGC/ubIxBCTp2L98x17GtAkOc2bhbpeBYFQgfuCW6RAAmQAAmQAAmQAAmQAAm0I4FEEQhhcKF///6BzqKbQAiYsSrJ6ZLJdPrwCdGI0zd2rAiEYNbbTdiEPEO0Yq+wct5OmPDBBIDdqXWWG6vXzMpM57mtJRDC4Akm6kPlCeICWNYJFdpaIISJlnAmncMJhFCG5557LsgykpO92e7Ro4cefLbLjPqzVxeac/CJlXZm5SC+2wIjTMxg5aBzJa7zfLON1VxY+Roq2JMZoQRCOB8rrt0mEcy1IBKAFR47RDqg4jwP6ThXg5prOD8xcIrfCSY9vQanQAiD4MZEujN9DGrBUlMkAZOO5lwwCuXbPpK0EMeLQAi/N1iAguWdUCGUQAjxMWgNcZ89KGfKYz6PP/54V3cCMJmP+9zEc34ib85JQlsghOtj9fJxxx3ner5JC3UNsagRr+I8Z4CbA1hUMPHx6SYQwjloU5xCVec52MaEHFbb4jdmh1gWCCGvzklmrI5tKjgFQriHMMhv8wB7uNcIFzBp7nRVYKeB3xLusVD1Fy5tHiMBEmgZgUQXCIEOrMjAUqP97DHfBwwYoC3FhCKJySBMepn49ifaqFAW0JwCIbiZgpUY+3x8xzMZFmvcAlbIY2LTeZ4tEMJ5EK9g5boznnMb7TgmJt2sZ7hdF/vsSVw3y6OhznU+9/FO6gzOtr+lAiGkC9GB27uaKT8mfN3cCpk8wXKFs59hzjOf6KO4vS/jHcn5Po74oQRC+K1hstek6fYJAY0tpDd5xMS501qS83yIsZwupr0KhPBOE+5dCxZAjJUhXLe1BEJ4X7hMuelyls1s453R+X7eFgIhsHe6Ug0lEEKdwcqiyavzE4ILpyAgVgRCuNecPJ15hlikKRE5rFiF6xtAbGILA8GztQRCSBtWwkL1RVEP4dwutbVACM90CHdg6cwthBMIIT7aNYhTnPVmb0OAg2eO2zMf/dtQAg0Iu5xp2wIhXB9WhpxWVexr4zvaVoiZQgU3QaCbQAjnt6QdN2NPkQiEcC1Ydbvoootc+z3OcqKf1JxFa87nASwUwcqeM12zjXvSrb+JPDoD2iGn+CbceJrzvFDbXgVCeFY4ra2FWpAEq1FuQmZTXrQx4e4XWANzu+dQv1hcZ377zRUIof1xE3ua/MGCIgTFbiHS8ax4EggloWOuCt8oqJut0T7uIAESIAESIAESIAESIAESiC8CatK8RRlGv0CtZhQ1sNCidOyTlcsT+eKLL/Ru1WEWNVhrR2n0Xa1KEuXCSe9XA+OirBA0ioMdSqAiaoWNqMl6WbdunfTr10/UYKio1SKizPqKcsmjz1OiCFGr5oLSUGIbUYP/et9jjz0masVm0HF8eeONN2TGjBl6vxpUEOTFDmoAUdTEtN6tBk3knnvuCYqi/NGLWgmr9ykxjajBGVHiD522MuktSjAkaiJe1OBi0HmhvqiOuKhBXFHWYEQNfosaHBMllBI1AR6SrRIfiBr000niOkqoEir5Zu1XHWhRg/SiRFuiBhREiV1EDYzIJZdcImqyOWSaYKXMV+vjypSwqBWlIeOGOqAGuESZbg51WPNRAxeiLPboe0O5VQoZVw0QyKOPPqqPK/cPogZxGsXFb0SZ4RY1GCpqgkfUJJOoySFB3SthmuA+UYMZjc4zO5QFFVE+1UWtmhI1gKjvWSXm0Pe4cnsmSnyhoyo3UKJW7JrTAp9qwEifD9ZIQwlTdBq4vhq4FaQVLuA3g98W8q8GqHRe8RsNFZQLMlErgvX9pgaF9e9ETZzo+xX3rRrAaXSqWnUsypy03q8mPkSJ/BrFCbUD5cfvBWXDH1iibMpFg6iBb13WUOeG269cjQTYqkE8UQIX/XxA2ZQJflGTEqIG1UVZagqXTOAYnlFqclF/R50r8VjgWHM21ASdKFd4IU9VQg5Rk2GahVqJLmpiK2RcHMDvSYmudBwlkBT8BuygxIT6XsK1cS+rQTSdPnirCRNRE1P2KYHvaG+UOXZ9X+A3jHrCswy/eeRTCW50XDW4KMr0fuA854YSOOm6xrWddY28oq6VUNQZvdE2znnqqadEuYXRbZeanBTlFqFRPOxQA3+C5yDuezw71UCx/t3ieYznIcrsFvDcxHkIaL9wn0Q7oB24++67dbJgpwb4I76EWvEryp2Njq9MqYuazAp7LtoJ5ZpMx1GDspqBcq8jqAsE8EBbiTYlkoB2Vk0Ea6Z4FipBmH72o/6aukcjSZ9xSIAEvBMw7/J4puPZ5zW0Vn9AWWYRvC8iKDGMKIGC16wFxVfiGVFWE3SaeH/D+x2eocpKiigBpCgLNEHx3b4oKwaCZyHeqfA+oyzk6fYP7wOhAvodypKhPqxcDwn6E3ivwrs5+gTo56Av0tR7Pd6vkBaenagz9DEuvvjiRpfFMWVpUT9n0X6h3HiHUeIk3VaqCbhG54TbgX4E3okQlEsVUcLocNGDjuF5b94Z1aSeKJc7geNKWBpoS/Cehfc2Ozj7Veiroa7CBfQpUMcoN+oYdYQ6VgIPUW7Gwr5vI128ZyvrIoG2XwmCdduE9yi0daH6BGCMtlW5BhMlAhK8yyqLPCGziryhPXT2zfBOpCabQ/bNTGJqvk7QDoMt+rJoR/F+qVye6HwrAYSOivYb97XXgHtcuX7W71koC953wA59YyU60tdEmuhPOdttMDBlxvuYea+3r4++C8qNoERjui9kx8F39BPRB8J7vprs1b9/vDOivOH60W5pOfehbMpdjN4FPihbUwH9FJQdAX23cP0U9NnQV1DCdP17QV9LWbfUv0OTBn7zP/rRj4Iui3dkNamv9yF93EN2UIJ5Ua6k9G6kq0TpdhT9HX1CNcGvt/He6wxK5CZqIZDehd8FniF4b33++ef1/Ys+G54VymqYoC/RVMA9iPNRp6bfh/sCzzM819z6fXiWKWGIThrvj6YP0NS1Ij2OfoZatKKf03hnRj8BPFEP4cYO8HxFfw2huW2Osx7d8qsW2ujfFJ534K8EPG7R9D48zwwbjFkZZvYJqFP8VtA/Qn2gL4XfrXJnqce48JsJFdCWKRGrKFGOHpNBXCVgECXS02nid4gQajxILVbTv1U809DPwhgL2hhcH3WLMTk8R8MF/B7x3EVfEe8gSuihf+du5zS3HUfdI4A33i0iDUr8o8fhwBZ/5pmIewrtkdvYSyRpo2+FZy0Cnt3HHHOMfi5hH+5fsEPf2h6PDJU2xiaUCFqPdWJcbcWKFaGiRrQfYz5q8aSOiz67EoM1eR7uI/P7QZsZ6vmkhNCBdhpjvqhzJe4VJUrU7Uy43wQygXsA4yi475WlY1GiHf2OhXsO9z4CtvFbcAbkDb9xBIwBhBovxnE8i/H+gee4EknrsUq10E0/L0M9FyMdz1IixkD9/OpXv9JlxzVjIdj9AQqEYqFWmAcSIAESIAESIAESIAESaCUCsSoQaqXiMlkSIAESaDcCyjqKKDcF+vozZ850FQ+2W+Z44Q5BABOfmCTGwCwG7zEAHWqy0wCxBUIQQjKQAAkkFgF7QsBr6VpLIOQ1H7Ea3xYIYXKIgQRIgARIgARIgASiQUBZvBZlSVcndf/994uyGhWNZOMqDWW1SIvbkGksgMFCGAZvBOz+AAVC3vgxNgmQAAmQAAmQAAmQAAnEFQEKhOKquphZEiCBOCUAQQZWU+MTK9mxcjbaltfiFA2z3YYEYCEPq1QRMHCMAeSmAgVCTRHicRKIfwL2hIDXElEgFJ4YBULh+fAoCZAACZAACZBA8wnAEjes8WDhByzZwGJfIgZYqIK1R+UqLqh4eI+FFSZYZkSAlTlYomLwRsDuD1Ag5I0fY5MACZAACZAACZAACZBAXBForisBU0hOCBgS/CQBEiABdwJw0YYVfcakNdxrwC0DAwm0JQGI0jBwaqwGwQ1AUy7ZkD8KhNqylngtEmgfAvaEgNdcsD8QnhgFQuH58CgJkAAJkAAJkIB3AnDPBdfcN998sz4ZbrDh5jARA9ymwTIQXJDB1Slca0IQBTeoWPgC968IOTk52jUY3JYxeCNg9wcoEPLGj7FJgARIgARIgARIgARIIK4I0IJQXFUXM0sCJBBnBLp37y7FxcVSW1urc47VfEuXLpXOnTvHWUmY3Xgl8Nprr8l3v/tdQXuPQWQECNYef/zxiIpEgVBEmBiJBOKagD0h4LUwFAiFJ0aBUHg+PEoCJEACJEACJOCNwEknnaRFMdXV1frE9PR0WbhwoYwYMcJbQnEQG++pI0eOlGXLlgXlFhaZccwZIB665ZZbnLu4HSEBuz9AgVCE4BiNBEiABEiABEiABEiABOKRAAVC8VhrzDMJkEC8EMAKN/OchSjolVdekalTp8ZL9pnPBCAwY8YMOffccwMlmThxosycOVNyc3MD+8JtUCAUjg6PkUBiELAnBLyWigKh8MQoEArPh0dJgARIgARIgAS8EZgyZUrApVZqaqpMnz5drr32Wm+JxFHs5cuXa8u2sCTkFvLz8+Xhhx+WK664wu0w90VAwO4PUCAUATRGIQESIAESIAESIAESIIF4JWAmrpubf04INJcczyMBEugIBCZPniwZGRlyxBFHyDXXXCODBw/uCMVmGWOIwHvvvSe33XabDBo0SDCQDOtBaWlpEecQKzDnzJmj4z/55JMyZsyYiM9lRBIggfggYE8IeM01+wPhicGS27333qsjXXbZZXLjjTeGP4FHSYAESIAESIAESCAMgSuvvFIglhk7dqxcdNFFMmnSpDCxE+MQ3lex4Oqjjz6SVatWSWVlpQwbNkyGDx8uZ511lvTs2TMxCtpOpbD7AxQItVNF8LIkQAIkQAIkQAIkQAIk0BYEKBBqC8q8BgmQAAmQAAmQAAmQAAnEJgF7QsBrLikQ8kqM8UmABEiABEiABEiABEggdgjY/QEKhGKnbpgTEiABEiABEiABEiABEog6AQqEoo6UCZIACZAACZAACZAACZBA3BCwJwS8ZpwCIa/EGJ8ESIAESIAESIAESIAEYoeA3R+gQCh26oY5IQESIAESIAESIAESIIGoE6BAKOpImSAJkAAJkAAJkAAJkAAJxA0Be0LAa8YpEPJKjPFJgARIgARIgARIgARIIHYI2P0BCoRip26YExIgARIgARIgARIgARKIOgEKhKKOlAmSAAmQAAmQAAmQAAmQQNwQsCcEvGacAiGvxBifBEiABEiABEiABEiABGKHgN0foEAoduqGOSEBEiABEiABEiABEiCBqBOgQCjqSJkgCZAACZAACZAACZAACcQNAXtCwGvGKRDySozxSYAESIAESIAESIAESCB2CNj9AQqEYqdumBMSIAESIAESIAESIAESiDoBCoSijpQJkgAJkAAJkAAJkAAJkEDcELAnBLxmnAIhr8QYnwRIgARIgARIgARIgARih4DdH6BAKHbqhjkhARIgARIgARIgARIggagToEAo6kiZIAmQAAmQAAmQAAmQAAnEDQF7QsBrxikQ8kqM8UmABEiABEiABEiABEggdgjY/QEKhGKnbpgTEiABEiABEiABEiABEog6gWgJhGpra6OeNyZIAiRAAiRAAiRAAiRAAiTQugTS0tIkOTlZKisrpb6+3vPFjECI/QHP6HgCCZAACZAACZAACZAACbQ7Abs/QIFQu1cJM0ACJEACJEACJEACJEACrUcgWgKhqqqq1sskUyYBEiABEiABEiABEiABEmgVApmZmVERCLE/0CrVw0RJgARIgARIgARIgARIoFUJ2P0BCoRaFTcTJwESIAESIAESIAESIIH2JUCBUPvy59VJgARIgARIgARIgARIoD0J2BMCXvNiLAhRIOSVHOOTAAmQAAmQAAmQAAmQQPsTsPsDFAi1f50wByRAAiRAAiRAAiRAAiTQagQoEGo1tEyYBEiABEiABEiABEiABGKegD0h4DXDFAh5Jcb4JEACJEACJEACJEACJBA7BOz+AAVCsVM3zAkJkAAJkAAJkAAJkAAJRJ0ABUJRR8oESYAESIAESIAESIAESCBuCNgTAl4zToGQV2KMTwIkQAIkQAIkQAIkQAKxQ8DuD1AgFDt1w5yQAAmQAAmQAAmQAAmQQNQJUCAUdaRMkARIgARIgARIgARIgATihoA9IeA14xQIeSXG+CRAAiRAAiRAAiRAAiQQOwTs/gAFQrFTN8wJCSQ0AUxO7t27V6qrqyUpKUlycnIkPz9f0tPTE7rcLBwJkAAJkAAJtDcBCoTauwZ4fRIgARIgARIgARIgARJoPwL2hIDXnFAg5JUY45MACZAACZAACZAACZBA7BCw+wMUCMVO3TAnJJCQBDZv3iyfffaZLFu2TL755hspLS2VlJQU6datmxx00EEyevRoGTNmjOTl5cVN+Xfv3q3L0b9/f10WZBzlWrJkiRZAjR8/XrKzs3V5/H6/7Nq1S2pra6VXr16SnJwcN+W0M4pylJeXS9++fQPltuPY3zEpvXz5ci0OO+yww3S923E6yvePPvpI9uzZIxMnTuzQHDpKfbOcJBBLBCgQiqXaYF5IgARIgARIgARIgARIoG0J2BMCXq9OgZBXYoxPAiRAAiRAAiRAAiRAArFDwO4PUCAUO3XDnJBAQhGoqamRWbNmycsvvyyzZ8+WTZs2NSpfVlaWDBs2TE466SS5/PLLtWAI1oXcwsaNG2XRokVaoOJ2HKKjkSNHyqGHHup2OGr7fD6f/PjHP5aSkhL54Q9/KOPGjdNpr1ixQu655x6BeOipp56Sfv366f0Q1fz85z8XlPWaa65p9fxFraBWQnV1dXLzzTdLVVWVXH/99QKxTyQBArGHHnpIi8R++9vfylFHHRXJaU3GgfAK99SXX34pW7ZskX379klqaqoWZg0cOFCOOOIIKSoqajKdtoxw4YUXyoIFC+SZZ56RyZMnt+WleS0SIIEOTiDWBEL//e9/paysLOJagfC2Z8+eEcdnRBIgARIgARIgARIgARIggQME7AmBA0ci20oUgRAWvWHxFhYxoj9y8MEHy2mnnRZY5GfTwNjT119/rc+prKyUCRMm6PGmtLQ0O6q88cYbeh/GOQcNGtTouNsOLKjcsWOHXoiHBZQMJEACJEACJEACJEACkRGAQQq807mF3r17a8MU9jF4uZk/f7589dVX+j0Q83SIGyp4jR8qnVjYb/cHKBCKhVphHkggwQig0/zss8/K9OnTdUcaoppwAQMNxx9/vPzqV7/SFoXc4r7++uvyu9/9TotB3I5nZGTIT37yE7n66qvdDkdtH4QyAwYMEAig/vSnP8k555yj0168eLHccMMNsn37dnnrrbdk8ODBev+GDRvkyCOPlB49esgjjzwiU6dODcoL2GBQonPnzkH7Y+0Lyg2LSbCA9Mc//lHOPPPMoCxi0AQDLbm5uUH7169fL3fddZd88MEH8re//U1OPPHEoOPN+QJeb775prz44ov6/oIoa//+/dqqERo5DPDccsstct555wUlDytPcG3XXlacjjnmGJk3b568++67csIJJwTljV9IgARIoDUJxJpAaNSoUbJ27dqIi/z888/LGWecEXF8RiQBEiABEiABEiABEiABEjhAwJ4QOHAksq1EEAh9+OGHcu211wrGqTCGiPE4jHXB2jcW+tkL2mAJHIsZX331VT3eVF9fLxj7wrgexqPAxBkw3oQ4xx57rB6zch5z28bYFiyrY6zq0ksv1WOMbvG4jwRIgARIgARIgARIoDGB+++/X3796183PqD2XHDBBfL3v/896BjeBb/zne/oecz09HQ9x4t3QsxlT5s2LSguvniN3yiBGNth9wcoEIqxCmJ2SCDeCaCD/cILL+gH88qVK3XnOZIywQLQlClT9MMYnXM7/Otf/5I77rhD8ODGQxyfzgDrMRAZtbZlFnT233nnHe0qCpaPunfvrrMRSiAEsRQEIRhEgECkoKAgkO05c+boQQjk+7LLLgvsj8UNlBvCJwxcQNwCF3EmfPLJJ/L0009rcResJDkFOBh4iaZACBaMXnnlFS0mQ17QcMNlV2FhoXZjBkEWVmBhBRgsHSGgDpA/5P+vf/1ru1kWokDI3DH8JAESaGsCFAi1NXFejwRIgARIgARIgARIgARih4A9IeA1Z4kgEMI4Eca2YP0bC/kgDpoxY4b84Ac/0GN1CxculPz8/AAaiINeeukl+dnPfqaFRRjXg2VsLJo7++yz9fhlILLagEAIY5tI99NPP5Xhw4c7Dzfafuyxx+Tuu+/W8SkQaoSHO0iABEiABEiABEggLIGf/vSn2kiFm3Ab3kVg1dEEWAyC8QIjDIfl272k4QAAQABJREFURryvXXzxxdo7yfvvvx/kNcVrfHOdWP60+wMUCMVybTFvJBCHBPDgvP322wXuQ5qyHGQXDx1pWACCZR47GIHQ0KFD5cknn9QdbzsOHnBQfLZ2wKAAVhI5rxVKIIS8gAPOsU0Qw2LSgw8+KLfddpseFGjtfLc0fZQBAx22OOvxxx/Xgp3vfe978sADD+gBEXOtaAuE1qxZo4VisMSD++yiiy7S4iCwRZ1ADAR3Y7gXYLUJARaG/t//+3/y9ttvC86HJaT2CBQItQd1XpMESAAEYk0gBLEmntUmQDCL5zoC2hgIgp0BwuAhQ4Y4d3GbBEiABEiABEiABEiABEggQgL2hECEpwWiJYJA6LXXXtPWsJOSkgLlwsbPf/5z+d///V8t+IHwB2HdunUycuRIOf/884NWn2Nc7OSTTxYslFu1alWQG2QIhMaNGyeff/65XHLJJa5jmzpx9R/GCUeMGCF9+vTRbi4oEDJk+EkCJEACJEACJEACkRHAXDKMVZSUlIj9fmenYOLiPQ0eSEyYPXu2tlp/1VVXyR/+8AezW89TI+1I4wdOjOENuz9AgVAMVxazRgLxRgACjd///vdy7733ajNtzck/VuvA4g461c5gBEJwS/Lcc8+5CoSc8dt6O5xAKFReYFkHvO688864EAiFKgfKcN9992krSFhNBaGXCdEWCMGs35VXXqkHYR566KFG94m5rvNz586dAvHSe++9J/BLSoGQkw63SYAEOgKBWBMI2cwhmIXAFAED6zt27LCjRO07XJvB6pzTol+oxCEwha/pgQMHNhL5hjqH+0mABEiABEiABEiABEgg1gjYEwJe85cIAqFQZYYLewiBYFkIC/gQMK6J8S1YosZiL2fAosUf/ehH8pvf/EZuuummwCH0Y2AhHJavMZkEq+pdu3YNHHduvPzyy3oMDW4xYEWIAiEnHW6TAAmQAAmQAAmQQNMEzjvvPC3a3rRpU9jIcOuKsd0xY8bIrFmzguLCuuTgwYOlurpaC8SxcNVr/KAEY/iL3R+gQCiGK4tZI4F4I2Csu6Cj29wASzA/+clPBP4jncGrQAgP9g8++EC7m8LKHwxmwIQwOuuhJgVxzp49e+Sjjz4SWEIqLy/XbrMmTZokffv2FbgxQ4CLMVjSgWurLl266H2hBEKwaAPLCHj4Hn744dK5c2f58ssvBROUKNMbb7wh//M//yPnnHOOFtb07NlTsrOz9UACVivBH7lTcKMvpv7D5CnKB7ELRFNOa0aIg7Ls2rVL5s6dq83mjR8/PpB/kwbMJ4MNuPTr18/s1p+oy+XLl+uGE1abkAeUG+kiLUyuYrDj66+/lv/85z/y73//Ww+aQIiDuLDeA//ttkAI/JcsWaItTOHaY8eOlVNPPTVg7ScoEy5fYOoP7tiQX6zwQt5DBbggW7Rokc4nTDcjr9OnT9cDNKhL1J+xMmTSgIAILspQ/5hQh6lBlLcp09C4V1AfqFtwR3y4uxs0aFDA4lIoC0IYPMJ5mzdvlt69e2vRk22lyeSPnyRAAiTQHALxLBDC8xirdE2AdSHnQDyev4ceeqj2G404EBHjWeocyIfwGG0Y3AFA9IOA1SIY3Efb7Axo55544gmBCHXbtm36EN5Njj32WHn00UcbtZfOc7lNAiRAAiRAAiRAAiRAArFIwJ4Q8JrHRBYIwS3FFVdcod/1sSANYerUqbJ06VLZsmVLo4UCGM/DONwFF1wQZF0IAiH0Ga655hpt7RrCH9syquE+ZcoU3dd4/fXX5YgjjqBAyIDhJwmQAAmQAAmQAAlESAAuwzBPirnZcAHebs466yz5xS9+IbfeemujqPA+AmtBSAdiIa/xGyUYozvs/gAFQjFaUcwWCcQjAQhhsIoGApDmBpiCgyBj/vz5QWbhvAiEIPDAqh+s2IFYBRN7EPRABQpRCMRH6IA7zc5h8vSVV14R+K2EtQDzsIRVJJj8ffbZZwM+KDERCRUpfJEjPYRQAqGtW7dqoQiEP3/5y1+0CWE0Qn/729+0AKmmpkaLeyAIgcgHAwyYrLzhhhsELlVgVcG2eINrY5ISVnsw2IC/5OTkRsgh8kH+kF+4bYP5YhNgzhjiGky8QpD1u9/9zhzS7tDAD+cgnxAvgSEmU2FOGXUBfjC5h/whPygH4qAMyMtJJ50kGGRxCoTgTg1WfGDW2bgrw8QufIHCChEGUpx1EsiQYwMin5tvvlnfH7C8dO2112qxklv5ly1bpn3FQxUMoRbKDPEV4mLg5umnn9Z+R42YCi5vUGaYJEQ5sB/1jzxhgOeWW24R+C51Boh7UCb4rIeloqysLJ0+7jesFEO5zjjjDH2Km0AI5cd9gZVpEK4hD6gzN1GY87rcJgESIAEvBOJZIIRy4rloOntou/C+YQIG1eFuEqF79+6yevVqbe4f7ZQJ6DBCJGQHPOthmc74pMZzH6uHsVLYLeTm5moRKUTDDCRAAiRAAiRAAiRAAiQQLwTMGBfGRvDO6zUkskAI7sCw6O3TTz8NLA7DQjmMcZk+iJMXGGK8B2NYsD5kAsaZMO6DRXRYbIaxMiyssxeAof+BBRC//OUv5fTTT9djgLQgZCjykwRIgARIgARIgAQiI4B5VMz5Pfzww3o+b8iQIY3m75DSM888o+cR//73v+v5Vzt1iLoxj4exYxiL8BrfTi9Wv9v9AQqEYrWmmC8SiEMCmKT74Q9/KE2ZdGuqaHiQw/ILBiBMMAIhTOI99dRTWuhhjuETggojTnn++ee1lQA8zDGpCNUnrLPAIsDMmTO12ANqUWNJCCIQmAaGaV+IYCDSQUcfE4ErVqyQL774QjcgsOaD0FKB0McffywQr2AAAo0OLOicdtppugy4Ph7UEO3AcgEEI0cffXSQcGbDhg3y3e9+V4teYEUHeXULEKxcd911WgSE8l144YWBaBjkQLoQTWHgAtZvMPiBAFHT9ddfrwVWsLhgrOfYAiGkAREWmGIyFbyNJSSIqjDgsX79eoErNcRBPcBiDyZyYR0J1npgoQFiMPh5//Of/xywyBTIqLUBQQ7EWvARv3//fs0BCl/kDdaZnGHfvn2yYMECzRpCJ1hEgjgM1o9QVlgzwiQvLP5gP+JgEAhWkCZMmKBFTBBQQTQEsRXuC/A214EI6PHHH9cu4pAmyoVJ6G7dumkLUWCDuoUlJQRbIARxEO5V1A3udYi0cL6pB2dZuE0CJEACLSEQ7wIhPJ9vvPFGjQCiTbQfEAMhQMCJdgEBImWIZ9HGOgVCOIb3B4h/IFKF1TYT0P6Y8//xj3/o9g/H8CyHawGIayHihMU/hHPPPVcLTPUX/kcCJEACJEACJEACJEACcUDAnhDwmuVEFQjhHR9jZRi7wSI3EzDGg3ErWOV2C7AmjjEuiIpMMAIhiIYwvoVxPSwIw/idM8AdBqxjr1q1Sq96x+RWtAVCmCzDWCfqPVyA2AkL3cIF9CWd47NucaMVJ5L8YFwQ47/hFhhirBPjxMYSvFuewQdiOVvA5YxLjuTY1O+D92PTzwf+rptmFMkzlBzJsannUST3UbTi2Pej/R1tqf18xHe0uW4L/Z1tr5dtvItt37496BR49IBRA4z3moA5PcwnwkAEDBvYAQKjn/3sZ9oqPSwNeY1vpxer3+3+AAVCsVpTzBcJxCEBCF5gSQVm3VoS8BCHuMIIeJCWEQjBAgyEGOgMOgNcTsEEMCYMMTGIjiCERk5LLHAdBvdUEK9AmDJu3DidBFbvYDAAAwBwN3LCCSc4k9bWh9BwmcarpQIhkziEM1CmwhIOVKomwIINJjhhJQiikauuuirQYYflHVisgXUhiHEQJy8vz5wa9ImGGQIjpP/jH/9YN4Kmc4x0IYjCBCp4wWyeEQJhoAIDGRBEoXHs1auXTtcWCJmLoQzIL9hiEtXJ3AiE4PIF9QNXX5ikRUceHXGIjKZNm6YnYnEtiHaaCrDwBBUvhGIQcCF/EPVg5RXKYA9cQCiF4+CGSWWnRSYMCGCyGNaB4If0gQce0ExMXSOPEAldfvnl2uIThEQYzEGAcOziiy/W7mrAGa7inAEDCSinScspEIJoCII6rBjDcbygnHnmmY3ua2d63CYBEiCB5hJAB7AlobUnBNBxw/MXAQPr9nsEBJV4N8AqXAS4CsNzGc/ZAQMGaMt/2A8LgmhjbIEQBKszZswIDCLjeYs2AQHvE3Aviuc12j2IZBHwvDeiJKz8hUtMBHSmICw1z3a9k/+RAAmQAAmQAAmQAAmQQAwTsCcEvGa1tfsDXvMTjfgYw4RVaiwcmz17tuTn5+tksRgNi9uOO+44bQ3I7VoYg8TiMacFdadACP0XjKEh7U8++SSQBKydjhkzRq6++mo9HogxrdYQCGHsC3nAYodQQhos7iwuLpZDDjkkpEgGk27o+6AvhvFYt4C+FPpQKKthaMcrLS0VLHYEVyzEcAsYw8TiPIivzDikHQ8L9bD4D+OgzrE9Ox7cw6Gfh3HhUAECLYyxYow3VCBHcuT9yN91KBEhn49sZ9jONLTXEOWiTcVcLuZdEez2Gu0t2ma8K2EOLloBomy8o2LBPYwtYFwYVoLwTuEUad9+++16XhJjwTAMYAcYlsD8KRaoQjjuNb6dXqx+t/sDFAjFak0xXyQQhwRgJQausdDhbUnAKh2IL4yYBWkZgRAmDdHY2BNzsF4Dq0CYGLQDGiSIbmCVCIIMWJaBqMWIUfDQx0ohqERxvKnQ2gIhXB8TmXB3Br/mjzzyiGDwAQGNG8QsEJfAsgH8pIcKELdA/AQxEURPUL6ikw13YFDCotFEfUEMBGEPBkYQ0CDec889WlgEcZIR3LREIAQfnnBJBn/uaIhMgHjn+9//fsDKkXETY46H+oTiGIIv1BsETfABD3EQrAmhvBiYMCGcQAjHYMEH7sbAEwxs8Rkm1mFFCPUBXmCFzgHqAavCMEk9ffp0c7mQn0Yg9Pbbb+tJbYiCUA68cEDsZTiHTIAHSIAESKCZBOJdIIRiwzoQRLwIEPXCzacxz499GGjHdwRbIIR2DUJRE9CuQqRrAt5bsBLHdGSxH9aGjAAX7SmsC0GQhID0ww1I60j8jwRIgARIgARIgARIgARihIA9IeA1W4kkEMIkFcZ/HnzwQb2Q7Z///GfQAkUch9AFwh2na2MnMxzHokMstjPBKRDCPoz5YBwOY0Cw4I2ABQiYuML4JFa9t5ZACOOeGPsrKirS13X7D6IdiIh69uzpdljvQz8SIqJQgh1EwsTg7t279bWc47jORNGPwmQ6xBbOMUFnHGxDaIQ+GFiGChjLxP1orHu7xcPYMSYLsRA0VECe0c8LJVjCeeRIjrwfi4LmZ5y/J/6u+XxkO8N2xrTXaL/hjQV/JtjtNd4DMO/mNAph4kbz8+uvv9aePPAesF55N8F7B4wbYA4QhgJs4xC4Nt4JMbcMy5IwcuA1fjTz35pp2f0BCoRakzbTJoEORgCiHogmQnWgI8EB6zNw3wHXS85gBEJoQCAosUUc6NDCGo7p/G3ZskWv5IFwBCIQdPywOgaWidBwYXIQE4x4kYGLLXTKsQol3MoRk5+2EAhhZc3NN98scEf28ssva1dpEEXBVRoGFiCAgagFlhPCBay+gds3dGphNWnKlClarQvrCRDjQACESdUzzjhDp4fBAYiDILxB+mgQzWqjlgiEMCDyf//3f9rKjzO/yBcmaV999VXdCMNVjJcAa0Iw+Qy1MNJAfUI0ddttt0nv3r11UuEEQuADdTBWBWHgBlYm7IABA1wDx2A9CJaOcB/CYhDKNW/ePJk8ebJ9WqPvRiAEIRpcy2GVFcRBcF0WaiVWo0S4gwRIgASaQSARBEJYnWtWeUDMs3HjRm0yFpb0EPBsNkJXWyAES3DGTSjiol2F1TsTMECP9ujYEC47TTzziTbBWCE0+/hJAiRAAiRAAiRAAiRAArFKwJ4Q8JrPRBEI4Z3/kksu0WM8GDeCxW2nFWzDBeIdjB2in2AHjJvBejkWp0FcZALiY9wH41MImCzDIka4ssAYG8YlYa0Hlomw2AGhtQRCOnH+RwIkQAIkQAIkQAIdkADmGJ999lltYOCwww7T4mws/IdHEiwItQPeB2HcYOHChXp+GGJuL/Ht9GL1u90foEAoVmuK+SKBOCQAwQNW4cD1h1ll77UYEP7AlJvto9sIhGBRB+6qjDrVLX0IlLDSH4IliEMgFIEZWzwAoSBFgAWh0047TYuGMOGI1SVwXYI4TYW2EAiBHwQ9UK9i0AIiHwzIwLUW3LjhO1yE2ZaU7LzDchLK+vjjj2vLNxDPwBoOLCVBUIMVURABYcUPrBIhPq4Hq0uYbHUKploiEIKIBg3riSeeGJRFXA+uZVAuCJOuu+66oOORfoECGRasoPTF6iYI1e644w7NJ5xACC7OYNoZq5zAe+LEia6XhF95uDDDcQiJcP9ByAZT0RBzGTGS68nf7jQCIVg6gtlFiLRQF+FWK4VLj8dIgARIIFICiSAQQlnRXuF5jIBBdogsIfDEuwMEwWYVii0QQvtmrAbiXFjOgwU4BLSjGKzHAD5M8JuAzmSolbKYVMB7BQMJkAAJkAAJkAAJkAAJxAMBe0LAa54TQSAE12FYKAjroRhXhFAnVIBbeLgZxiI9e4EiREOwYg4Lp1hhboItEMJ+WNFGvwWLHWBZG2Om77zzjl68h+MUCIECAwmQAAmQAAmQAAlEj8D999+v507hpeWUU07Ri/wxl4eF+xhLtgNEQzAEYCwhYdtLfDu9WP1u9wcoEIrVmmK+SCAOCcAML8y0QZiBjnRzAqwA4QEMs7POEKlACMILCFzgdurSSy/V1gAg3oBJUAiYIALBxKERCKGzD4EQTN5hJZFxJ+K8tr3dFgIhXBPik+uvv15bl4G1A6xQgsAGgxkYWBg/frydtUbfUScQAsGqAqwF3XrrrVpcBE6zZs3SJnkhNIKgCsIurJy66aabdAMIkY3TZG9LBEIffPCBFn61lkAIBYeoCu5nIDLCQA9WcsGyVDiBEHyfwiIVBFK4N4zZZxskLDnBgtC0adO0cAqCIrgFw35YIYrEd6oRCGFiGr7uYeYQ9yrc3tgDTvb1+Z0ESIAEWkIgUQRCGMiHqBMBHTW0jQiw6AahqQm2QAjuJx977DF9GO0ixLFoBxEGDRqkB+yxv2vXrro9wH6sFHnggQewyUACJEACJEACJEACJEACcU3AnhDwWphEEAhh7Adji3ALhrHHcAGLz7BgD2M3tqVpuJ2H0Afjjs503ARCRkyEsR+M48E12fz58wOXpkAogIIbJEACJEACJEACJBAVArAajzFjeIzp16+fwK0qxn9h2RGGDJyhqqpKx4H4G/OoCF7jO9OL5W27P0CBUCzXFvNGAnFIACIbrKB54oknBKtzvAR0pl955RVXP5CRCoTgxgpKUHTSYekFrriMlR00CFjhA9+TRiBUW1srsEqETjnEHsZ9Sbh8t5VAqLKyUotdwAQrjCCawqQm/GTCBVukohJYUkK5cT4sCMHfJsQqGNBAo4Byw8UYrBJBUIPjv/vd77TrK8MOPGJdIIQ8wpoPTDaPHDlSi4XgPi6cQAj3wk9/+lNZsGCBvl8g+rEDrCnBRDTMR0NoBctKEAidffbZWswGyxSwRtVUMAIh+DLFSwYEWBCkwcUa3IxBMMRAAiRAAq1BIFEEQui0DRkyRAt6IWg11grNihDDzhYIwVUmBvaxYhhC5vfee89E1c9+TBYgQBQEa3cImASB0BhtLiwJrVu3TncuYcUPnUYGEiABEiABEiABEiABEogXAvaEgNd8x7tAaNeuXbofgYUFWCDXVMC7P8aVpkyZoq1tm/EaWB6FdSEIfbCozxncBEI4joVmGHPCwjRYTL/wwgsDp1EgFEDBDRIgARIgARIgARKImADGujE/aruK/fzzz7UVecwRGiv0SBQLTjHHjHFhp5V5zBPffffd+hg8fpjgNb45L5Y/7f4ABUKxXFvMGwnEIYH6+nptghfiBzxs0QGOJOBhDjdYmIyD+MIOkQqEsNof4paLL75Yr/xHBx0BlgFmz56tfY3n5uYGBEI4dvnll2trMxCAwPQvJhLDhWgJhLAiCXnF9VF2twBrCVhpBHcm4IIG6y9/+Ysun1t8t30QyMCNFywGwUUWVjn99a9/1Q0hBEAwnYeJUwxwDB06VCtrIa468sgjg5ILJRCCVQakjzQw0OJslCHAgQAmWhaEampqBKKu7OzsoLyZL5999pm2rHTsscfq1Vlw3wXLUXBZBxdkOA6RlaljCHXgXxRiKVhrgr9RWGpyBgwA3XzzzZrfz3/+cx0Px1GuRx99VIvRMNls0nSe69w2AqF3331X1wP8oOJ6yCNEWXgBcbv3nWlwmwRIgASaQyBRBEIoO0zBGmtA+A5XX7AG5Gx7bIEQ2n030TIEwnPnzpX09HQkpV1Uou3bsmWL/u72n9MlgNtx7iMBEiABEiABEiABEiCBWCNgTwh4zV+8C4Q+/PBDPWY1duzYsAsDMUFkLGljXBNu4bFgAJafy8vL9XgcrEhjgQLEQ84QSiBk3FRgQR4WLhqxEc6lQMhJkNskQAIkQAIkQAIkEBkBvNvBkwjmVmEZCHOGEG//+c9/1vN0GO8dMWJEIDF4ZcE7Hearf/zjH2shOOYsMcaMBaWYq3POzXmNH7hQDG/Y/QEKhGK4spg1EohnAsXFxdoyCyz6YMV/uIDJPTy4YYXF+RB2nhOpQAgupu655x5tNQgNAtyLQbSEDjwEIDAlDOsDxoIQrgGrM5gkRCMCF1xwkYaHJQIajIULF2rrOXA9ghAtgRDKjOv16dNHuz1zE5js3btX+8nE5C4sCkHoBLdYGJyJNKD8EBVhoAOTpBCkgCfM6iGUlJToCVeY3SsoKJCpU6dqwY8tlAklEEJaKEdWVpbOm5loRdrRFgih/tBow9oDBDdODmvXrtWWeMAHLwYYyEGAhYnzzjtPmwiEoAfWH5yWkaAkxksBJpRR99dcc01gQAj3BMxKQ0AEARSEVYYLhFXwYYrrwbIQRFVggIDzsB+iqwEDBuh9ToEQXkYwWY174Je//KW+T+HiDa7RnHnTJ/I/EiABEmghgVgXCBnLdSgmBtbDCXTQQTvssMMCROAWE+c7gy0QgiU+uAIwq3whSsbqYbQJtuAUbSIsEUKgi3bXBAzk49kNK3IwT8tAAiRAAiRAAiRAAiRAAvFCwJ4Q8JrveBcIwVUYFt41FbDwAOOIJqBfgHEgs9gA42JY4IfFd3YIJRDCmNyYMWP09eFy3hkoEHLS4DYJkAAJkAAJkAAJREYA71DwioI5OhOwePTEE0/UY8CYA7YDzoH7sa+//lofwrsb5g0feeQR13lpr/Ht68Xad7s/QIFQrNUQ80MCCUQAneA5c+boBzIst0A0AYELhDAQQUBwc9ZZZ8mNN96oRRRuAhmDI1KBEMwAQ6yB62IAA6IjpAuRzwAl1EAjgclFp0AI14AvcLgWQacf8WBlBpOBX375pbYsADPAMC+MEC2B0MqVK3WDtWnTJi1AgtUCNFwQODkDBiSQX6xWgsgH1nq8BvDAQATKA6EURClwOYaAeoE4CFZ2MFH661//Wrsks68RSiD0zTffaBPJYAyXbhDCQIg0ffr0qAuEYLkB+YQADflHntCQ79ixQ5YsWaIFOhA4QShmhDwox0MPPaSFPhBc4SUBQh64VENcuBCD5SgwgaAJ9Yv6x/2LMmGACN9h7Wny5MlBWN566y2dzubNm/Ug0vjx47XbMOQFE/KYkIaICMEWCGEf8gMBEkRPmHCGkAsDTU5LGIjHQAIkQAItIRDrAiEvZVu8eHHQgDye03huO4MtEMKqEgzKw7XA9u3btStKp5jVea7ZRhuA9hnx0d5gxa9TlGri8ZMESIAESIAESIAESIAEYp2APSHgNb/xLhDyWl5nfCw6wwIw9Aew4I6BBEiABEiABEiABEig/QlgrhnzwRjvzcvLk8GDB2u3Y03lDB5DICwaPnx4RPNwXuM3df32Om73BygQaq+a4HVJoIMRgIDiq6++0u6eYCUIYgg8gAsLCyMiASEGlJzwHQnRRbhJOviZhJgDk4hwSQUrLieddJI2CfzPf/5TK0R/+tOfytFHHx10bcSH+AYTi7B6BGERJgXPPvtsueqqqwIDAVCmYrIVVgRGjx6t04CI5L777hM0FrBcA6EMAhonmCLGIAJcitnK1eeff16fB/EPhC7wRQ4rNs6Aic1zzjlHi5eQRzsNZ9xQ2+APCzewwAMBEMzmOc0aw8wx/GqivLCmAzGLHSC2woQp2DrN8yHeG2+8oV26bdu2TTfC8LGO66GhhYUGTODCCo+9ygqCrCeeeEKfD5OAF1xwgX3ZoO8oB9yYwU0XJm1Rv6gnlAWM4VoOaaAczgA3Y/fff79AYASLEBCnIV8Q9CCgXLAkhJVgEFGVlZXplwO8WEBEBHEVBoPcAgRScD22aNEifV8gDu45CJFgjchYaoJVI3DA6rMJEyYEkgIjiITgAg9ccV8VFRUFjnODBEiABFpKIJEEQueff768+eabGgks+sCdqR1CCYTsePxOAiRAAiRAAiRAAiRAAh2BgD0h4LXMHVkg5JUV45MACZAACZAACZAACZBArBGw+wMUCMVaDTE/JEACUSEAqzAQXsBCC0RFxvVTU4lDKFJaWqrdm8CKS69evbRwJ5x1o6bSbOo4xCgQvsC9l5swBNaTYPUHgqZXX321qeTa7TgmoOGuDf7aIaZpTWYQBu3cuVP/QRwEwQ8EQqFc1AEK6haiItwTEO2EuicgWkI5MADWv3//iFTESB/l37hxo7aShfJDJNSaDHBNBhIgARKIhEC8C4Rg4Q+CYggxIRBFwPMVolen4NKwoEDIkOAnCZAACZAACZAACZAACYjYEwJemVAg5JUY45MACZAACZAACZAACZBA7BCw+wMUCMVO3TAnJEACJNCIAMRKV1xxhcycOVNmzJghJ598cqM43EECJEACJEAC4QjEu0AIIiC4bnQGuOO87bbbnLsC2xQIBVBwgwRIgARIgARIgARIgAQoEOI9QAIkQAIkQAIkQAIkQAIdmAAFQh248ll0EiCB+CIAP+cvvviingA9+OCDtRuuUFZv4qtkzC0JkAAJkEBbEoh3gdDpp58u77//vrYEB8tud911l3z3u98NiZACoZBoeIAESIAESIAESIAESKADErAnBLwioAUhr8QYnwRIgARIgARIgARIgARih4DdH6AFodipG+aEBEiABDSBtWvXyscff6zdnL3wwgvaJdbjjz8u06ZNo8sq3iMkQAIkQAKeCcS7QAgFrq6u1n95eXkRlR8iWxPgMpSBBEiABEiABEiABEiABDoqAXtCwCsHCoS8EmN8EiABEiABEiABEiABEogdAnZ/gAKh2Kkb5oQESIAENIHXX39d7rzzTi0Q6tmzp9x4441yySWXSHZ2NgmRAAmQAAmQgGcCiSAQ8lxonkACJEACJEACJEACJEACJKAJ2BMCXrFQIOSVGOOTAAmQAAmQAAmQAAmQQOwQsPsDFAjFTt0wJyRAAiSgCWzYsEHmzZsnycnJAtdiQ4cOlZycHNIhARIgARIggWYRoECoWdh4EgmQAAmQAAmQAAmQAAkkBAF7QsBroSgQ8kqM8UmABEiABEiABEiABEggdgjY/QEKhGKnbpgTEiABEtAE/H6/1NbWandiaWlpdCvG+4IESIAESKBFBCgQahE+nkwCJEACJEACJEACJEACcU3AnhDwWhgKhLwSY3wSIAESIAESIAESIAESiB0Cdn+AAqHYqRvmhARIgARIgARIgARIgASiToACoagjZYIkQAIkQAIkQAIkQAIkEDcE7AkBrxmnQMgrMcYnARIgARIgARIgARIggdghYPcHKBCKnbphTkiABEiABEiABEiABEgg6gQoEIo6UiZIAiRAAiRAAiRAAiRAAnFDwJ4Q8JpxCoS8EmN8EiABEiABEiABEiABEogdAnZ/gAKh2Kkb5oQESIAESIAESIAESIAEok6AAqGoI2WCJEACJEACJEACJEACJBA3BOwJAa8Zp0DIKzHGJwESIAESIAESIAESIIHYIWD3BygQip26YU5IgARIgARIgARIgARIIOoEKBCKOlImSAIkQAIkQAIkQAIkQAJxQ8CeEPCacQqEvBJjfBIgARIgARIgARIgARKIHQJ2f4ACodipG+aEBEiABEiABEiABEiABKJOgAKhqCNlgiRAAiRAAiRAAiRAAiQQNwTsCQGvGadAyCsxxicBEiABEiABEiABEiCB2CFg9wcoEIqdumFOSIAESIAESIAESIAESCDqBCgQijpSJkgCJEACJEACJEACJEACcUPAnhDwmnEKhLwSY3wSIAESIAESIAESIAESiB0Cdn+AAqHYqRvmhARIgARIgARIgARIgASiToACoagjZYIkQAIkQAIkQAIkQAIkEDcE7AkBrxmnQMgrMcYnARIgARIgARIgARIggdghYPcHKBCKnbphTkiABEiABEiABEiABEgg6gQoEIo6UiZIAiRAAiRAAiRAAiRAAnFDwJ4Q8JpxCoS8EmN8EiABEiABEiABEiABEogdAnZ/gAKh2Kkb5oQESIAESIAESIAESIAEok6AAqGoI2WCJEACJEACJEACJEACJBA3BOwJAa8Zp0DIKzHGJwESIAESIAESIAESIIHYIWD3B1okENpTUS+1vtgpHHNCAvFOIEkVIDPVL1kpPklJFinfXyal+/ZJp5wcyemcJykpKeKrqxOf3/2Hl5yUIsnqxOTkZPH56sTv80u9+meC8zj21fnVNepSpcaHKzeE3PQ6yUj26+tWlldIXkG+ZGVni1+SpLI2Rar9yeI/kKQ5jZ8kQAIdjEBKinpWpFVLfb1fav11Haz0B4qbnJQkqclpB3aorRT1vMxS+2rUo7q4OvhYUMQO/qXe0ZboturbHbin0HTVq++OKJpW4z2xCzFJ3QfOYL4lJasjSaqR/zYEb5u9kX1mqdurc6ZJOfQ58SIQQv0u3blMPtv2uWwu3Swl1SWSnZYtRdlFMrbnGBnbY4ykp6SHLiiPkAAJkAAJkAAJkAAJkAAJNCJgTwg0itDEDgqEmgDEwyRAAiRAAiRAAiRAAiQQwwTs/kCLBEJz1vpkX6U9dRPDpWfWSCDGCUCYc3B+uXTvVCMle3bL/JmzJSU1VcYeNUG69ewhmFT87P0PZdXir8WvVDoQAjnDgIOHyIgjD5f8wgL5ZvlK+erjT2V/SakWFmGeMi0tTQt+Dho5TPoOGiipGVmyuriTbCnPEF99wwTjsMIy6Z1dJXu275SP33tf0jMy5PApk6SwqLvsqEiXdaVZUlab6rwst0mABDoYgaz0CumWv13SUmul2lctJVUlHYzAgeImKYFQSnKqpKm/3PRcfSBZPXDTlGCzojpT1u/ufSAytwIEIP4xQW9DDKQFQQ2fokRCJo75VDvMKfHzqe4PBNwnBz4bBELYp/ebTx3jQNxvv4b9GFCQLGN7B78LuJ0QDwKhZbuWyVOLnpZv9q1zK4LeV5hVKBeNuECOGzA1ZBweIAESIAESIAESIAESIAESCCZgTwgEH236GwVCTTNiDBIgARIgARIgARIgARKIVQJ2f4ACoVitKearQxIoyKiVg/KV1Z7UGvniw49lw6o1MnrikTLgkIO0UAgmFd7/zzuybOFXMmjowdKjT28tGjKw8rsUSpHal9Wpkyz/arF88NYsKejWVSAcSlVCI4iF1qs0IRaafNLxMlClu6m8k2zYnyVVvoYJxj45VTIgt1Iykmpl5aIlslRd66ARw2To2NHiS8mSlcXZsquSq/cNc36SQEckkJO1X4oKtuqid3SBkKl/N6FQdU2mbN3TV1lda1rAYdLpKJ9G9KM/jTjoW1EQLAjV+xsEQkHx4hROkDhIiYEg7m0QB+GzYVttNIiFVBlN/EiKmygCoTdXvyX/WPx/SvysrEdFEKYOOFa+f/g1ynpXZILlyspK2bVrl+Tl5ek/W2AdwSUZhQRIgARIgARIgARIgATiloA9IeC1IBQIeSXG+CRAAiRAAiRAAiRAAiQQOwTs/gAFQrFTN8wJCWjLPQPzKqVy7w4lBHpbIPgZd/RkySko1HSSlKOvuW+8o4U7R51yggwZPjRoIjFZuSBLSVVuxtSEIwRC896cKYceNlLGTJ4gGZmZUqfck61avFQWKMtAh4weKUdOPVpKUwrlm5JOytVYir5GZopfkIcenaqlsrRY5r01U+8fr+J2UVaMlu/Nlq3lmY3cvrD6SIAEOgYBWA/qrqwHpSrrQQgUCAXXuxEKpSalSmZyV9mxr5fU1FFU6aRkRD+wCKT/KYt4WhSkhEFpSkuVkmS+41NZDfrWclDgPGdiMb4dEPtAAIR/2r0YWvNk7YKuQSCkRELYD/WuiocQOK+J8iWCQGj2+jnyx8/+1ERJGx8+YdDxct3h1zY+8O2ekpISeeKJJ+Qf//iHbNiwIRAvNzdXbrrpJrn99tsD+7hBAiRAAiRAAiRAAiRAAolMwJ4Q8FpWCoS8EmN8EiABEiABEiABEiABEogdAnZ/gAKh2Kkb5oQEZHBehfTNrZI1X30pH//3fTls0ngZpVyGVSVlSaqaMM1I8WmB0KrFS+SY00+VQ0YNbzSJWONT1gnU/OLqxYu0uGfE4WPl8KMnSWZWlia8ZcNGeftfLytLQ71kyrSTpDqrh6x1uA3D1GT3rBoZ1LlCslNq5ZPZc2XN18tl/HHHyMHKNRksCG0uy1STmw2TmKw2EiCBjkMAv/pcZT2o27fWg7KS0iRViTvWVjRYE+o4JJouKQQeSfXZUlHZV2prujZ9QgeKYYQ+RvwDcRAsx8Bq0BH9M2Rwt8QXVG0vrZM5qyobrAkpi0IQ9kIcZIRB5rOp2yLeBULby3bITbN+LLW+BsFhU+W1j/9k4s0yqc9Ee7dAHHTKKafI4sWLZfTo0XLMMccIOkGbNm2STz75RIYOHSovvfRS4LwZM2bIunXr5JZbbgns4wYJkAAJkAAJkAAJkAAJJAoBe0LAa7koEPJKjPFJgARIgARIgARIgARIIHYI2P0BCoRip26YExKQQ/LLtRWh+e/MkjVLl8uUU0+SIcMOlZ1VGZKlLPvkpNUGLAhNOvE4OWjkcD25aNClpilXG8rdRpKyybBykbIgpKz/DBtzmIw7ZrJ2O4YJ2GULv5R5b7+rLQhNOO5oKUnpIuscFoSQVk5anRykBEJds2pl+ReL5KNZ72mh0tijJsr6inzZpARCdfUUCBnu/CSBjkJAWw8qUNaDlHgQweevk/KaMuWisKajIPBYzmRlua1AKsuHeTwvsaM7BULGnRjaJ7/fJ+MHZHUMgVBJncxeVa7acGX1Dy7HtNuxb92NqervKAKhRxY8Kh9s/LDZN3yPnCJ57JQ/NAisHKnccccd8uijj8qdd94pd911l+OIaDHasmXLZMSIEYH9sCo0ceJEmTVrVmAfN0iABEiABEiABEiABEggUQjYEwJey0WBkFdijE8CJEACJEACJEACJEACsUPA7g9QIBQ7dcOckIAMKyiX7pnlMuvFf0vxrt1yzBmnSN9BA2WjEuRkp/qkIKNGC4Q+e3+eZGVnS3ZebmASsYeyCHT4lMnSrVdPTXLFty7GOhcUSN/BAwTux0r2FcumNd+oczvJ5JOPl/4HDZFN5Z1kw/4sNcGvrBd8G9KT/XJQfoV2M7Z57VqZ9dKrMujQg2WiEiVt9XVVAqEsqfVTIGR48ZMEOgIBuH3KU9aDCvO3BYpL92IBFCE3fL48qSgbHfJ4RzwQsBwEB2PKAhWEQQ1/fi0QGtI9I+GxbCupldkrynTb7BQJKWmQbtc7gkCosq5Srnj9qmZbDzI3yb3H/kKGdwsW4U2aNElbD9q+fbvk5OSYqCE/KRAKiYYHSIAESIAEokSgXlnLq64Wqav1qT+//vPV+cXnUyJp84n3Il+Di1W8IxlPq/XKkvBblS8pq8KpkqoWBKUqgXGK/lTbSSl6X1pKmnRK6yTZadmSk67GCtRntuMzLTktSiVhMiRAAvFIwJ4Q8FoGCoS8EmN8EiABEiABEiABEiABEogdAnZ/gAKh2Kkb5oQEZHhhmXRN3S9vPveiVFdUaIFQz379ZJ1yAZaXXieF3wqEvv5sofQe0F+69OiOqURNLrNTpgwePlQKu3XT3yEQmvPam+Kr80leYb6ehN2zY5dyLdZTuwvrd9BgSU3LlFXKetDW8gzxOSwCwZ0ZBEK9sqtlx6YGl2Q9+/dVLslOlJ3SQwuWav0HBEWsOhIggcQn0CWzRgYU7pViKQkUlgKhAIqQGxQIBaMx1oMw44Vt417M7/OpCbI6mTCokwzpnhl8UgJ+g0DoveX7JUWJd5NTlOW/ZroZi2cXY59vWyj3f/jbFtfud4b+j3x3xEVB6cAaENyLLV++XPqp96hQ4bHHHpPi4mL57W9/K71795bvfe97OuqUKVPk2GOPDZxWXl4uzz77rHz99deyfv16GTBggBx22GFyySWXSFpa8ITrvHnzZO7cuXLppZdKlnLv+txzz+m83HvvvdKnTx958MEHpXPnznLNNdfIO++8I++++67s2LFDTj31VDnrrLMkWwnAcb1XX31VZs+eLVVVVTJhwgS57rrrJDVVWYpkIAESIAESiDECStRTVyr+2r3qs0T9lSmRz36p96nPuv1qu0zq1b6qukPkm7WjmpX31Ixk+e2eO5p1rjkpIzVd8jPzpTCri3TJKtR/9nZhVkEjq3zmfH6SAAnENwF7QsBraSgQ8kqM8UmABEiABEiABEiABEggdgjY/QEKhGKnbpgTEvhWIFQqb/3rJaksK1cCoWnSq38/Wa8EQrkOgdDKRUuUNZ+pyv3YUDWpeMCST3pGhtSrlYHJSuCzSrkYm/vGO8pK0GAZccThmu6C2XOlZO8+Oea0k2XQ0EOk2p8qK4s7ya5KdZ6DPwRCQ74VCO1SAiHkp5cSJB11CgRCRUogRAtCDlzcJIGEJ1CYWSuDCvZJWXKp1Nb7dHmzktIkVa1sXluxNeHL35ICQiBUWTZSPWMpqgRHWyDkr/crASvEQcqKEARCA7NlSFEHEAgVQyBUqryCpgbcjMGSkDIfFLAMGIkVoXgWCL29dqY8+cXfWvLz0udO6XeU3DT+xqB0fvazn8nDDz8sRx99tBboFChrim5h9OjRWvBTV1enuUOwhXDrrbfK3Xffrbfnz58vV199tY7Xv39/6du3r6xcuVJ27dolo0aNkmeeeUYGDx6s4+K/3/zmN3LffffJjBkz5OabbxZYMaqtrZUPPvhAxowZIz179tQCowsuuEAeeughGT58uKxYsUJ2794t5513nvzlL3+Rs88+W5YsWSJDhw7VIqe9e/fKySefLP/+978D1+EGCZAACZBA2xKA+MdXs1MLgXwQA9Xu+1YUVKzebxrej8PlqK5+gKxePSlclJDHoiEQCpm44wCsE8F9Z6/cXg1/OT31Z2/1PS8jzxGTmyRAAvFGwJ4Q8Jp/CoS8EmN8EiABEiABEiABEiABEogdAnZ/gAKh2Kkb5oQElIuxMinKrJB3X35V9qjV5Mecfor0GzxINpdlKHPhPslPr9Win1WLl6hj0+SQUSPEryad1Ry9FvjUKas+JTWpkptWJ5uWfinz3popww8fI+OOniwQD634aolAJNRn0AA58tgpkqsmzOBazGkNSFk0VxaFMpW1olrtYmzTGuViTOVnoHIxNokuxniXkkCHJFDUqVoO6rJHtqnV0Cb4/HVSXqNWQ/tqzC5+uhDw+3OksnyocqGV+KIXl+I32uUqENLWg4wFoWw5qEMIhGrkv0oglKKsB8GCUDIsCHUwgdArK16VZ5Y81+ge8brjiF7j5PbJtwWdVllZqS3yfPrpp9K9e3e588475bLLLpP09PSgeOZLKBdj+/btE4iIcN8+9dRTcsIJJ5hTBNaH7rjjDoG1IlgBMsEIhMaOHatFPbfccou2CIROGKwDQSBUrXzMHHHEEVpEBBdoFcpq5DnnnCOwPgTLRBA0vfjii4KJmLKyMl2WhQsXyn//+199PXMtfpIACZAACUSfQL2/SguBfNU71eeOhm0lDML+lgSfFMqqVac0K4m2EgiFy1xOeo70zustA/MHyKD8gWrxwCDpm9dHuzcLdx6PkQAJxAYBe0LAa64oEPJKjPFJgAQSkcCLn2yXNdsrErFoHbJMl0zpJX27cLy2Q1Y+C00CHZCA3R+gQKgD3gQscuwSODi/XHpnV8kXc+fJ0oVfakHOwaOGy56qDMlM8Uu2Ev7AKlCDQOhUJRAaLvtq0mS7chFWqYQ+PiUQSlLWfwblVcrOFQu1QGjE4WPl8KMnSaZyc1GuJpk+ePtd2bpho0w8YaocPHK4dm+C/cV79kpefr7kdM6TjfvVJJYSJHVRVkOWqXzMf3eOjJ5whIyZPEHWl3eWTWWZUudwSRa7RJkzEiCBlhJwsx6ENOleLDKyfn+WVFcOlLq6LpGdkOCxGgmE/H4lnqpT1oOMQCin4wiEljVYENJuxpQ4qKMJhOasf1+mf/Z4i+/4EwedIN8//JpG6dTU1Ajcev3xj38UbA8cOFB+8YtfyLnnntsobiiBEMQ9f/rTn+TJJ5+Uiy4KdmOGRCA6evnll7VlH1j4QTACoUGDBmkrQHqn4z8IhEpLS+X555+XM844I3AE4qBp06bp7xAcTZp0wMoE4l555ZVy//33y403BltLCiTADRIgARIgAe8ElOUfiIDqqjY3/FVv0VaBvCfU9Bn1kiIrVl3QdESXGLEgEHLJlqSlpEm/vL4ysEAJhpRoaLASDQ1UnykQPTOQAAnEFAF7QsBr5igQ8kqM8UmABBKRwENvrJcv15UmYtE6ZJl+fs5gOaRXdocsOwtNAiTQ8QjY/QEKhDrePcASxzCBAbmV0i+3SravXSnvvzFTho0dLaMnHil1KZ0kRQl/0pN9WiC0eskybV3o4JHDZKcSD60ryZKy2hRlRShJslJ9ckhBuexWAqEPlRho+LgxMvaoiVoghInZtctWyNw3Z0r3Xj1k0knHS5fu3WTxgs/ly/mfaGtDI48cJ/slRzKUICkntU7m/3eOrF26QiYcf4wcNGKYrCzJVhaNMpXVogOuzWIYKbNGAiTQQgJu1oOQJAVCkYJNlrraAqmsGBbpCQkdr7FASLkWUy7GDgiEYEEoK6EZoHDbipUFISMQgjhIubbqaAKhdcXr5ZZ3gy3/NKfirx57pZwyuEGc43b++vXrtWjnhRde0K7szj//fHn88cclSwmnTQglEBo/frxs3LhRtmzZoq08mfjmE0IeuAO76667tJUi7DcCoSuuuEKmT59uogY+jQWhTZs2aYtC5gBckcFVGSwerV27Nuh6CxYskOOOO05uuOEGeeCBB8wp/CQBEiABEvBIoN5XIbWV68VXtUnqlBjIV71NWYmr85hK86OvXvc99V7o95xArAqE3AqSkZohB3c5SIZ1HSpD1R+2M1Iy3KJyHwmQQBsSsCcEvF6aAiGvxBifBEggEQlQIJRYtUqBUGLVJ0tDAiQQnoDdH6BAKDwvHiWBNiXQQ7nxgfUff/lemfP6W5LVKUvGHXOU5HftqsU/yUoktGbpctmzfYcMHnaodO3ZQ3ZWpstaLRBK1XmFQOhQJRCq2/mNbFDuwYr69JY+A/pLclqGti5UU1Ulq5csVS5vKnQahUogtGXdBlm/crX0HTJIuR/rLz5JU47L6qWitFhZHJqlzkvSLskKi4pk+b5s7YJMeSJjIAESSHACyUoHmJ9VJt0LtkutWmFtQlZSmqQoyy/fVGwzu/gZhoDPlycVZaPDxOg4hygQaqhrCoQaOFz31vWys3xXs38AeD954rTHpUtW0xa6Fi9eLNdcc4226nPppZdqy0Dmwm4CIdyr3bp1k0MOOUQ++ugjEzXoc82aNdoF2YUXXih/+9vf9DEjEHr66addrRVBINSvXz+B6McZ4EqsSL1nnXLKKdr1mPPYihUr5PDDD9f5//3vf+88xG0SIAESIIEwBOr91VJXuUH9rVPCoHXaXViDc+4wJ7XioXWbL5GqigPv1JFeKp4EQnaZUpNTtTuyYV0PlWHdhslw9ZeZSlcONid+J4HWJmBPCHi9HgVCXokxPgmQQCISoEAosWqVAqHEqk+WhgRIIDwBuz9AgVB4XjxKAm1KID+9TuBmLC+tRhZ98pmy9rNcRh15hAwadoikpDYIgGqr1SBnnU/SM9IlWe3bpNyBbdifJVXKxRhCerJfhhaWS2GqEgnV1EpKWqqkpaVJeV2qpCbXS4Y6XlNTLb66OpVGhk63rrZWapX7jbT0dElVcU2AezH8HTpmtBx62CipTcqQlcXZskuJkhhIgAQSn0CXzBrpX7BXSpJKggrrUy6hymvK1HOnJmg/v7gToEDoABcKhBpYUCDUwGHm2lnyly+ePHCDeNw6uv8U+dGRN0R81r59+wRWgWARaPXq1dKrVy99rptAqE69J3VVAu3hw4eHFAitWrVKxowZI5dffrl2ZYbEjEBo5syZctRRRzXKGwRCAwYMkI8//jjomBEInXrqqfLSSy8FHaNAKAgHv5AACZBAGAL1ylXYJqktX61FQXXKQpCId4s9YS7QokObdnxPykq85yeeBUI2MLglG6rEQmN6KEvHPQ6TPnl97Cj8TgIk0AoE7AkBr5egQMgrMcYnARJIRAIUCCVWrVIglFj1ydKQAAmEJ2D3BygQCs+LR0mgTQlA3HNQfoX06FQjFSXF8un7H0hVZaWMnTxBivr2lnWl2bKn6oCAx69cilUrYVCN+jMWfeD4C1aE0pQYKOnbvdiq8ycpS0CiXZWZ/SgcjiE07EuSAcqCUbesGtm+abN8pq6fm58vh006UjoXdpHtFcqdWWmWEhul6HP4HwmQQGIToHux6NQvBEKVZaMCz9vopBqfqVAg1FBvFAg1cPAp93J3zLlb1u5d6/mGzs3IlYdO+K107dTV07k/+MEPBNZ9XnvtNTnhhBP0uW4CIRwYO3asbN26VQuKUpQbODu88847cs4558h9990nP/rRj/RhCoRsSvxOAiRAAq1LAFaCaivWqL9V+hNuxGI1bNtzkRTvaeh/e8ljIgmE7HJ3y+6mxEKH6b9R3UfSupANiN9JIEoE7AkBr8lSIOSVGOOTAAkkIgEKhBKrVikQSqz6ZGlIgATCE7D7AxQIhefFoyTQpgQwVIgJ+YFKpJOdUie7tm1TFny+0m7CBisrQqsrusi28gZz3EYQFC6DZujRjuu23+wbVlgmPbMqZclnC6V07z45aMRw6darh1T40+Ub5cpsV1W6+OtN7HBX5zESIIF4J5Cn3Iv1Kgx2L4YyVfuqpaQq2KpQvJe1NfPv8+UodxLDxO/PaM3LxEXaFAg1VBMFQgdu1z2Ve+XO2XfJ7oo9B3Y2sZWeki53TblDRnQb7hoTloIKCgpcj51++ukyZ84cgVWevn376jiFhYV6e9GiRUHn3HTTTfLXv/5Vpk+fLldccUXQMXw5//zz5e2335b58+fLyJEj9XEKhBph4g4SIAESiDoBf12JshK0XP0pUVDVRrXqxbvbrqhnKoIEd5WcJ7t3HFjwE8EpOkoiC4ScDGBd6LCi0TKxzwQ5otc46ZTWyXmY2yRAAi0gYE8IeE2KAiGvxBifBEggEQlQIJRYtUqBUGLVJ0tDAiQQnoDdH6BAKDwvHiWBNieQpqwI9cmpVn9Vki61ygR5qaSmp0lWp06ydF+ebFNWfFozDFcCoV7ZVbK/GJP/SdIpJ1uUMzLZWJaprw2LRQwkQAIdg0BO5n4pKtwaVNispDRJ8fvlmwq4bGCIhIDfnyXVlYOVe0h3wUIkaSRKHAqEGibc8sUAAEAASURBVGqSAqHgO3pf1T558OOHZeXulcEHXL516dRFbpv4ExlSOMTlaMMuuAW7+OKL5ayzzpJhw4ZJcnKybN++XQt9fv/738u4ceNk7ty5gfNHjx4ta9askU8++UQLfcrLyyU7W1lt3LNHcKxWuWL9wx/+oAVBSKtGuWWFEOihhx6Sq6++Wh555JFAWhQIBVBwgwRIgASiSsDvK5PasqVSo/7qqjartO1lMFG9XKsktrfsbNmx1bvopaMIhJzQIRYaXTQqIBbKTst2HuY2CZCARwL2hIDH04UCIa/EGJ8ESCARCVAglFi1SoFQYtUnS0MCJBCegN0foEAoPC8eJYF2IZCZ4pfeSqTTK7taMlPUakhlsMfnT5av92bLzsrWFQgNzquQfrlVkprk12Wv9KUoq0UZWhxUqVyLxd8wbLtUIS9KAglBwE0glJOcLmnq8bCyHBMzDJERSJa62kKprBgaWfQEjkWBUEPlUiDU+CbHvTFv4wfyxuo3ZV3xOlFfg0L37O5ywsDj5PSDT5OMlPDvQoMHD9aCICQA12CpqalSXV2t0xszZoy8+uqr0rXrAddkEPjcdddd+nhRUZFcdtllcs899+jvCxYskKuuukq++eYbLRrq1auXrF+/XouGrrzySrn//vv1fh1Z/UeBkCHBTxIgARJoOQG4C6tRloJqyr6WusoNKkGrcWj5Jdo0hZLKabJ1k3fBeEcUCDkrJjUlVUZ3HyWT+06SCb3HS0Zq+PcA57ncJgESaCBgTwh45UKBkFdijE8CJJCIBCgQSqxapUAoseqTpSEBEghPwO4PUCAUnhePkkC7EFB6IIElofSUeklOahgExUQZBDp1rezeK0Nf1y9JyIQKcCdW40uSWiVQiu/h2Iby8H8SiCUCnTLKJDO9UorLuqjJ8Nj7jeVmlUr3gm1ByHz+OimvKZMqX03Qfn4JT8Dny5XKslHqOdqxrbBRINRwn1AgFP73ske5G9u8f4uUVJcILAYUKXFQn7w+4U9yHC0tLZVZs2bJl19+KVu3bhV0gHr37i1Tp06VyZMnO2Ie2JwxY4bMmzdPOnfuLOeee66MGjUqcBAWhV577TVZunSp7N69W4YOHSqTJk2SI488MhDHbHz++eeycOFCOfPMM6Vnz55md+DzqaeektzcXH2NwE61AStFf//736V///5yyimnOA9JcXGxvPDCCwLLSEcddVTQMX4hARIggYQjUO+X2opVUl36pdRWrlGaoIaFK4lQzrLqqbJpQ+O2oamydXSBkJNPVlqWTO4zUaYOmCqHdj3EeYjbJEACYQjYEwJhoroeokDIFQt3kgAJdDACFAglVoVTIJRY9cnSkAAJhCdg9wcoEArPi0dJgARIgARIoNUI5GaVSNfOu6TWlyoVVTmyd/8BixatdtEIE05WVsRyOyF/O4POqPZVS0kVXBAyeCFQL0rgWdNVqioP9nJawsWlQKihSikQSrhbmwUiARIgARJoIQFf7W6pUaKgmv2LxO8rb2FqsXl6Zd14Wf/NYM+Zo0DIHVmv3J5KKHSsHNP/GOmSVegeiXtJgAQ0AXtCwCsWCoS8EmN8EiCBRCRAgVBi1SoFQolVnywNCZBAeAJ2f4ACofC8eJQESIAESIAEWo0ABELdC7br9PdX5MnOYu8rilsrc50yyqVb/nZJTakLugQFQkE4PH3x+XKksny4shaV7um8RIpMgVBDbVIglEh3NctCAiRAAiTQXAL19TVSW7ZUWwuqq9rU3GTi5rwa33BZu3a05/xSIBQeWXJSsowuGiUnDT5RxvU8XFlh7tgWO8PT4tGOSsCeEPDKgQIhr8QYnwRIIBEJUCCUWLVKgVBi1SdLQwIkEJ6A3R+gQCg8Lx4lARIgARIggVYjEMsCoZzM/VJUuLVR2SkQaoQk4h3ailBtF6mq6LjuECgQarhdKBCK+GfDiCRAAiRAAglIwF9XLNUln2phUL2/KgFL6F6kOn8/Wb3Gu6tICoTcebrt7Z7dTU4ZfLIcP/A4yUnPcYvCfSTQIQnYEwJeIVAg5JUY45MACSQiAQqEEqtWKRBKrPpkaUiABMITsPsDFAiF58WjJEACJEACJNAiAt2yamRIfkUgjd2VabKuJEt89cmSY1kQ2qUsCNUHYrbvhptAqMZXI/tr9ovP72vfzMXx1f3+bGVF6FDx+zvFcSman3UKhBrYUSDU/HuIZ5IACZAACcQvgbrKdVKlhEG15StVIWLlrbftePrrO8vK1ad5viAFQp6RSUZqhkzpd5ScOmSa9O/cz3sCPIMEEoyAPSHgtXgUCHklxvgkQAKJSIACocSqVQqEEqs+WRoSIIHwBOz+AAVC4XnxKAmQAAmQAAm0iEBmil8GdK6UAbmVOp0af5LsqfHJHn+lpCT5JDW1Vu+vqMqW3SVFUutLa9H1onWym0CI1oNaTrdekqVOWxE6tOWJxWEK7SEQ8vv9kpSUpP9iBRkFQrFSE8wHCZAACZBAaxOor6+Tmv2LlcWgBeKr2dnal4vx9JNl+eoLPWujKBBqQbUmiQzvNkxOG3KqHNnriJh6H2xBqXgqCXgmYE8IeE2AAiGvxBifBEggEQlQIJRYtUqBUGLVJ0tDAiQQnoDdH6BAKDwvHiUBEiABEiCBFhFQY9LSO6dKRnQp0+mU19fIrrpyqRV/ULp+f7KUVuTLntJuQfvb60tOZqlyMbYt6PIUCAXhaPaX+vpsqasaKlU1Wc1OI15PbGuBUGVllWzctFmyO3WSvLxcyczMkPT09HbHR4FQu1cBM0ACJEACJNDKBOr91cqF2OdSXfyx+H3lrXy1+El+9frvSV1NcD+gqdxTINQUociO98nrI9859Gw5qt9ktVAjJbKTGIsEEoSAPSHgtVgUCHklxvgkQAKJSIACocSqVQqEEqs+WRoSIIHwBOz+AAVC4XnxKAmQAAmQAAm0mAAEQiO/FQiVqsmSHb4GsZCd8P6KPNmp3Iy1d0hSLh9yO5VKt/ztQVmhQCgIRwu+JIuvrotUKFdjHS20tUBo//798uY778qmzVukZ48iGdC/n/Tp3Utyc3MlJ7uTZGRktEsVUCDULth5URIgARIggTYgUO+rUG7EFiiLQZ9Kvb+qDa4YX5dYt/kSqarw5q6XAqHo1nH37O5y9iFnytQBUyU9JTast0a3hEyNBBoTsCcEGscIv4cCofB8eJQESKBjEKBAKLHqmQKhxKpPloYESCA8Abs/QIFQeF48SgIkQAIkQAItJmAEQqGsB5kLQCC0SwmE6s2OdvrMyiiX7vk7JDWlwf2ZyQYFQoZEFD7rO4m/5hApr8qJQmLxk0RbC4RwvTlzP5CFX3wlNbUN9zNEQb179dRCoaLu3aWgoLN0zstrU8tCFAjFzz3LnJIACZAACURGwF+3X1kLmq+sBn0h9cpiJoM7gc07vif7S2hByJ1O2+4tyMqXMw46XU4afKJkpXY8y55tS5tXa28C9oSA1/xQIOSVGOOTAAkkIgEKhBKrVikQSqz6ZGlIgATCE7D7AxQIhefFoyRAAiRAAiTQYgJGIBTOehAuArHI7pLuUudr35WsOZn7lXuxrUHlrvHVyP6a/eLze1vxHJQIvwQIpCanS0ZSH9mxt3e7C8ICmWqDjbYWCKFIq9eslVnvzZHi4pKgEiYlJUm2siIEkVCPou7SvVs36datixQWFEhKSuu6naBAKKgq+IUESIAESCCOCdQr92GV++ZJTelCJQzie2JTVbl9z0Wybw+cEEceaEEoclbNiZmTniNnH3qmnDpkmmSktI91yebkm+eQgBcC9oSAl3MRlwIhr8QYnwRIIBEJUCCUWLVKgVBi1SdLQwIkEJ6A3R+gQCg8Lx4lARIgARIggRYTyEjxS9ecUsnN3iW1EnrFsN+fLKUV+bKntFuLr9mSBNwEQtV11VJSHSywaMk1Ovq5acqdQX5GFymrzFVu5Xp0GBztIRAqr6iQf7/6H+1mLHB9i3hycrLk5uRIly6F0q1rFyUYKpKePYu0WAhComgHCoSiTZTpkQAJkAAJtDUBuA+rgsWg4gW0GOQB/q6S82T3Dm+LASgQ8gC4BVELsgrkvKHnyAkDj5eU5NYVi7cgmzyVBJpFwJ4Q8JoIBUJeiTE+CZBAIhKgQCixapUCocSqT5aGBEggPAG7P0CBUHhePEoCJEACJEACUSGQ16lEuuVvbzItuBnbqdyMtWegQKj16UMgVJBZINU1WbJ1d78wsrHWz0tbXiEg0FGuv7DtVxap9J/PJz5fnUwYlC0HFUXfxcN7c+bKwi8XSe23bsbClRnWg3JysiW/c2clFuoqw4YeIn379A53iudjFAh5RsYTSIAESIAEYoRAfX2tEgV9qsRBH0m9vzJGchU/2dhbdpbs2JrtKcMUCHnC1eLIPXJ6yIXDz5ej+k6W1hCKtziDTIAEmkHAnhDwmgQFQl6JMT4JkEAiEqBAKLFqlQKhxKpPlub/s3cegFFV2Rv/MpPJpFdCCOmB0AQFAUWUJoJdV1BRWTu6u+7quutf7F0Xe9+1rItl14J9sWJdBUQFLPSaAgkJ6b1N+7/74ozJy8xkZjL1zXd1mDfvtnN+d5LMm/u9c0iABJwTUF4PUCDknBdrSYAESIAESMArBBIkgdDQEBUIMb2YV94CfQYRmw16bTQSopLCKopQoARCJaVlWPn+R2hta+uzDs5eiA/NRSMKMfnwicga7l3RHgVCzsizjgRIgARIICgJWMzoav4BnQ1fwWxqDUoTQ8Go5o4TULE/1S1TKRByC5fXGucn5+G88edicubhXhuTA5FAoAgoNwTctYMCIXeJsT0JkIAaCVAgpK5VpUBIXetJb0iABJwTUF4PUCDknBdrSYAESIAESMArBFwVCLV1xqOmMQMmc6RX5vVkkISYZiQnlqHN0COmMEsbQiYp0guLdwlYowh1d0ejqi4HBovGuxME4WiBEgiJyEEvvbwCVQcPOqUSFRUlRwsaXTQSeXk5iNZHQ6+Pgogq5M1CgZA3aXIsEiABEiABXxMwdhSjvXYVTN3Vvp5K9eO3ds/G/tLhbvlJgZBbuLze+NCMCbhk4kXISczx+tgckAT8RUC5IeDuvBQIuUuM7UmABNRIgAIhda0qBULqWk96QwIk4JyA8nqAAiHnvFhLAiRAAiRAAl4hoNN2S2KDTimtEqSUShrpWYhBIiC9RKy+DSkJdfI8oq65PRl1zelemdfdQSIiTIiKqkZMbAlFQe7Cc7O9VSBkMenR2jwc1R1Rbo4Qes0DJRASpL7832p8u36D9PNntgtuaPoQnDD/OGQOy4BGo5Efdht64SQFQl6AyCFIgARIgAR8TsBsqEd73ScwtO30+VzhMkGHcSpKi4vccpcCIbdw+aSxVqPFCSPmY9G4sxEX5V6KOJ8YxEFJwE0Cyg0BN7uDAiF3ibE9CZCAGglQIKSuVaVASF3rSW9IgAScE1BeD1Ag5JwXa0mABEiABEjAKwSEFCgiwiL+hawKkkaVj6VnrcaEpLgGWSTU3hmH2qYMGEy6AecVwqLUhFq0d8WhvmXIgO0HbmBBpK4B+pg90ER0DdycLQZFwCoQgiUCnV3xqKh3727yQU0eoM6BFAiVVxzAKyvehIgm5KiMGzsGc+fMRGJCgqMmXjlPgZBXMHIQEiABEiABHxGwmLukVGKr0dX0rSRqZxRJb2LuNo3D3r0T3RqSAiG3cPm0caI+EeeOPwfHFRwrXS+pP/qnT2FycL8SUG4IuDs5BULuEmN7EiABNRKgQEhdq0qBkLrWk96QAAk4J6C8HqBAyDkv1pIACZAACZCAXwgIkVCk1iBFN9G6JA4SRsVLqcAyUirlPs1tSbJIyCo6csdobWQj9NElcpeICKMUOaXTne5s6yEBm0BI6t/ZHYOK2lwPRwqdboEUCIm5n13+Impre6J1CWoiUlBERARMpl83Pw8ZNxbHzp7hU5EQBUKh856lpSRAAiQQbgS6W35GR91nMJtaw811v/hrtGRj9+6Zbs1FgZBbuPzSuCClAJdOvBhjh4zxy3ychAQGS0C5IeDueBQIuUuM7UmABNRIgAIhda0qBULqWk96QwIk4JyA8nqAAiHnvFhLAiRAAiRAAkFLoHfkISEsaulIQENLmpQaLHJAmyNghlZXhyh9uSSQoChoQGA+aCCEKXptNBL1CRQISQIdk8mIaYVxKMqI8QHtniG/XvMNVq9dJ78Q/IekpSE1JRml+/ajq+vXqFmHjB2LObOPQVJiok9soUDIJ1g5KAmQAAmQwCAIyOnEat6HoaNHND6IodjVCQGzJQE7d5/qpEX/KgqE+jMJhjPis+ScvFm48LALEB8VHwwm0QYScEhAuSHgsKGDCgqEHIDhaRIggbAiQIGQupabAiF1rSe9IQEScE5AeT1AgZBzXqwlARIgARIggaAmkCBFERoqRRESxWzWwCilJmvrjHeQckxKIRbZgKjoMrl9hMbAVGIyicD9Y40i1PVLBCFL4Ezxy8yBjCAkHKyuqcHyF1+WIwbpdDpMnjQREw+bgO/Xb8S27TukVG+/ioTGjhmNWTOORlpqitfZUCDkdaQckARIgARIwFMCUgqxzsZvpJRiX0vpxIyejsJ+bhDYsXuxxNr1T30UCLkBNwBNk6OTcIkUTejonOkBmJ1TkoBrBJQbAq71+rUVBUK/suARCZBA+BKgQEhda0+BkLrWk96QAAk4J6C8HqBAyDkv1pIACZAACZBAUBPQSWnJkuPrkBjXZLOzw2BCXUssujrz5XM9oqBS+ZjRgmQMQfOPTSBkiEZlXbYU/UkbNLb5whDbZpi0KSaOzWZTz8NPEYTEnM+/9Aoqq6qQnJSEeXPnYFTRCNTVN8gioa2SSMgaSUjcFT5m9CjMmD4N6elDvIqDAiGv4uRgJEACJEACHhIwdu5HuxQ1yNRd7eEI7OYJgT2lv4Wh2+xyVwqEXEYV0IZThk/GZZOWYEhsWkDt4OQkYI+AckPAXhtn5ygQckaHdSRAAuFCgAIhda00BULqWk96QwIk4JyA8nqAAiHnvFhLAiRAAiRAAkFNIAIWxMc2IzlhH9oMbbKtZotZiiQkJREz96RqioiQIgVpOoPaj3A1zioQ6jZGoaYhE52SUEjNJdACIcH22+/W44uvViM7OwsLTz8VcXGxMvJ6SST0nRRJaMvWbeg2GORzkZGROHT8ITju2FkQEYe8VSgQ8hZJjkMCJEACJOAJAYu5Gx11n6KreaPU3fVINp7MxT79CZRWnI+ONlP/CgdnKBByACYIT8foYrB4/Lk4YcTxUhrniCC0kCaFKwHlhoC7HCgQcpcY25MACaiRAAVC6lpVCoTUtZ70hgRIwDkB5fUABULOebGWBEiABEiABIKeQFRULWLjdknRZ1zfaAh6p8LEQKtAyGKJkFPDHWwYrmrPg0EgJKIFvfTya5hwyDhZ+NMbeGNjE76RBESbNm+R05DFx8Vh9oxjMH78WGi13ovuRIFQb+o8JgESIAES8CcBY6ckKq9+F2ZDgz+n5Vy9CJRX/xYtjYwg1AuJ6g7HDBmNP039IzLjh6nONzoUmgSUGwLuekGBkLvE2J4ESECNBCgQUteqUiCkrvWkNyRAAs4JKK8HKBByzou1JEACJEACJBD0BESEoCj9AemxL+htpYF9CYg7i/XaaCTqE9DZHYOK2ty+DVT2KhgEQkajEV9+tQZjRhUhJyerH+Hmlhas+eY7bNu2A8cfdyxGjy5CVJT3ogeJCSkQ6oedJ0iABEiABHxNwGJER/2X6GxcJ83EqEG+xu1s/Kr6c9FQ63p0GUYQckYzeOuiI6Nx0WEXYF7hccFrJC0LGwLKDQF3HadAyF1ibE8CJKBGAhQIqWtVKRBS13rSGxIgAecElNcDFAg558VaEiABEiABEggJAjpdNaJjd4aErTSyLwFrFCEKhIyYVhiHooye1Hh9KXn3VUdHhyT6iXIYFahdqq+prUNW5jCINGPeLhQIeZsoxyMBEiABEnBGwNRVKUcNMnVXO2vGOj8RqGk+E7VVUS7PRoGQy6iCsuHU4VPwhym/Q5I+KSjto1HhQUC5IeCu1xQIuUuM7UmABNRIgAIhda0qBULqWk96QwIk4JyA8nqAAiHnvFhLAiRAAiRAAgEnYDYZ0d1Sh/aGA+hubYDZZIAmMgr6+FTEpA6XntOgjeyWIgjthy6qKuD20gD3CFAgZJLe0yYppZf/BEKurJCIdiQiPPmiUCDkC6ockwRIgARIoD8BMzob1qCj4WspaBBT0fbnE5gzDW2noaoi3uXJKRByGVXQNkyKTsIVU36PKZmTg9ZGGqZuAsoNAXe9pUDIXWJsTwIkoEYCFAipa1UpEFLXetIbEiAB5wSU1wMUCDnnxVoSIAESIAESCBiB7rZGNOzbjJaqvTB1d8Js7JKEFEZpg8cMRGig0eqg0emhi45DwrACpI/IQEJqZcDs5cSeEbAKhLq6o+UUY5IsxbOBQqBXMKQYCwZMFAgNvApmSaDV0mZAXEwkIrWagTuwBQmQAAmQQB8CZmML2g6+BWNnWZ/zfBF4As0dx6Nif5rLhlAg5DKqoG4odOfHFRwnpx0T6cdYSMCfBJQbAu7OTYGQu8TYngRIQI0EKBBS16pSIKSu9aQ3JEACzgkorwcoEHLOi7UkQAIkQAIkIBHokWz4S7ghxEDNB3aidu8GGNqb0NpUj3379qGkpAQNDQ0wGAxyeqS0tDQUFBQgNzcPMfFJiE2NR8aoFKSPzFCxxER9b0irQKjboEdlfRaMJp36nPzFIwqEekBQIGT/LX6woQPvrC7G6k0HUFbVAqPZAo20mTY0ORbTxw/DqdPzMTYvxX5nniUBEiABErARMLTvkVKKvSMFDWq3neNB8BBo656JfaXZLhtEgZDLqEKiYVZiFv5v2l+Rm5QTEvbSSHUQUG4IuOsVBULuEmN7EiABNRKgQEhdq0qBkLrWk96QAAk4J6C8HqBAyDkv1pIACZAACYQ9AZFmyCg9zDCb9T6n0S0JgupLfkJD6c+orz6AzZs3Yfv27Whra0NHR4csDrKmPoqKikJMTAySkpIwevRoTDp8khRBKBFDizKQNSFHSjum9bm9nGDwBEQaK702GjHaNNQ2DUV7V9zgBw3SESgQ6lkYCoT6vkFFtKDlH+7Avz/ZiS6D4xQ4IrbW/Kk5WHruJMRFq1dI15eOa6+EcNRsNkOv9/3fKdcsYisSIIGAEJCiTHbUf4HOxm+k6S0BMYGTDkyg0zgZJcWjB274SwsKhFxGFTIN9ZF6XH74EszOmxUyNtPQ0Cag3BBw1xsKhNwlxvYkQAJqJECBkLpWlQIhda0nvSEBEnBOQHk9QIGQc16sJQESIAESCHsCZklo0ypRMMNkTJZpaDTt0EUdRKy+A7qIVDS3JaHTEDNoUob2ZtSV/Ij64o0oK96N1atXo7y8HO3t7bAJK+zMotFoIL6wKywsxLRp05BbmIeM0ZnInZQnZSITW+oswU5ARBFK1qeivTMOVQ1ZwW6ux/bZ3seSIEQcm82mnofJBJOUPm9aYRyKMgb/s+SxgX7qSIHQr6CNJjNu/Od3+FqKGuRqKRiWgMevmoH0ZPvvlc7OTuzfv7/PcMnJyUhPT+9zTk0v5s+fj3Xr1qGlpUVNbtEXEiABNwiYjU2/pBTr+/vPjSHY1E8EDObR2LNnssuzUSDkMqqQa3hc4VxcOvFiRGmjQs52GhxaBJQbAu5aT4GQu8TYngRIQI0EKBBS16pSIKSu9aQ3JEACzgkorwcoEHLOi7UkQAIkQAJhTiAiwiCJgaqg0XTAbIpDZFSNFE3IJD26odWYER0ZB70mCS3tiWhoTfOYltloQOP+raja8gX27tqOL774AgcOHIDRaHR5TBFRSKQcO/roozFybBGGj8/G8EPUKzZxGUwINLSmGevsjkFFbW4IWOyZiRQI9XCjQOjX98+9r/yAd9eU/HrCxaNxUqqxp/46C3pd/0hp3377LebOndtvpLi4OOTl5WH8+PFYunQpxo4d269NqJ6gQChUV452k4B3CMgpxQ6+DYu5wzsDchSfEjBahmP37tkuz0GBkMuoQrJhQUq+nHJsWPywkLSfRocGAeWGgLtWUyDkLjG2JwESUCMBCoTUtaoUCKlrPekNCZCAcwLK6wEKhJzzYi0JkAAJkEAYEYjU1SJKX27z2GRKkDZadNK5SumcWXpoZGGQrYE4E6FBjC4G0dpEScyjQ4ck8GhqTYXJrJUSO7gevae1ugQHfv4UJTt+xldffSXdVbxHiqjiONVObxt6H+t0OnnTW2yO54zJRd6UQiSkJ/RuwuMgJECBECMIaTSS0EVKNydSzolifXb2ds1P0eDwLI2zJnKdiEI2mOKrDYENO6vxp8dWe2za7049BBefOKZff6tA6KijjsJJJ50k19fV1aG0tBQ7d+6U0zZqtVpccMEFuO+++yCEQ6FePBEIPfjgg3jnnXewdu3aUHef9pNAWBPobFgrpRX7XGLAlGKh8kawIA47dp3usrkUCLmMKmQbxupi8aepV+DIrCNC1gcaHtwElBsC7lrrq+sBd+1gexIgARIIJAEKhAJJ3/tzUyDkfaYckQRIIHgJKK8HKBAK3rWiZSRAAiRAAn4moIuqRHTMHtusFkgb9hYhCjLYztk7sIqE4nRxUrokLZqklGMNLUNcFggZu9pRt3cDyn74FBs3bpAFQgaD8znt2WE9FxMTgylTpmDe8fPkVGMFR46wVvE5SAlYBULdBj0ONmSi26gPUksHZxYjCPXwYwShHg6XP/g/bCqu8/hNFRcdifeWnSyle4zsM4ZVIHTFFVfggQce6FMnXqxatQo33HCDLBa6/PLL8cgjj/RrE2onPBEIHXnkkXIay4qKilBzl/aSAAlIBCwWA9qr/4vu1q3kEYIEduxZLN2I4JqoiwKhEFxgD0wW4vAzxy7AokPOlm4zcf1GEw+mYpcwJKDcEHAXAQVC7hJjexIgATUSoEBIXatKgZC61pPekAAJOCegvB6gQMg5L9aSAAmQAAmEEQGlQMgd14VISCtFAInSRsFizERNYwbMkrjIldJaXYrKTZ9i6w/r5I3r6upqV7o5bCO+XM7Pz8fxxx+P0YePQeH0IsQkxjhsz4rAExBrptdGIyEqEW2d8ZJIaHjgjfKBBRQI9UClQAiobuzA6Td+OOh4F39bciSOPTy7z7t1IIGQaFxfX49JkyZBRBYSgiGRmjFYi/i5GSiilD2B0ED9KBAK1hWnXSQwMAGzsRGtlStg6q4auDFbBCWBPWXnw9DlWrRQCoSCcgl9ZtS07CNx1dQ/QR+pzhsGfAaOAzsloNwQcNrYTiUFQnag8BQJkEDYEaBASF1LToGQutaT3pAACTgnoLweoEDIOS/WkgAJkAAJhBGBhNh6xMaWoN3geToeIRQym9LR0VYIo7lvVAu7KKUbhxv2b8G+7/6LH3/ciA8++ECKQiTSmQ2uiJQ5RxxxBOadPB9Zh+Ygc4w6BSeDoxRcva1RhLq6o3GgLsdlgVlweeHcGgqEevhQIAR8tqEcNy//zvkbxoXas2ePxF/PPqxPS1cEQqLDq6++iiVLluDMM8/Eiy++KI9RWVmJxYsX48QTT8Rvf/tb3H///Vi5ciUuu+wyXH/99XKb7u5uPPzww7KwaNu2bbJ4Z9y4cTjrrLPw+9//vo+YZ9OmTbj66qtx0UUXySnN5AF6/XPGGWcgJSUFy5cv73UWEHPcc889+OSTT7Bjxw4UFhbilFNOwbXXXovTTjsNIn2aqLeW3gKhf//733j55Zexfv16pKenY8GCBbjtttug1/dsNN50001Yt24dNm/ejK6uLjninBhHiKTuuusu65B8JgESCFICxo4StB58ExaT559Xg9S1sDKr7MD5aG+lQCisFt0NZwtTCnDd9KUYEpvmRi82JQHHBJQbAo5b2q+hQMg+F54lARIILwIUCKlrvSkQUtd60hsSIAHnBJTXAxQIOefFWhIgARIggTAhECHFsUiMa0RcXBlauloG5bUFkdIdwcPR1Zk34DhmQzfqSn7AzjVvyxu2YmPbG0VEm5gwYQIWnrkQQ0cNwwgpihBLcBOwCoQsUuSp1o54KcJKZnAb7IF1FAj1QKNASBLnfL4bj721yYN3Ud8ux07Kwt8um9bnpKsCocbGRmRlZcm/K62/e0tKSjB+/Hicf/75EGKhffv2ITs7G5MnT8btt98unzv11FOxfft2zJo1C9OmTUN7ezs+//xzCLHQ3Llz8c4770CrlVJUSmXNmjVyNDchyrnxxhv72Cle5ObmYujQodiwYYOtrqWlBWIOIfAR48+cOVOe46233pLteP/993HSSSfhjTfesPWxCoSWLVuGJ598UhYFCRvefPNN2YdLLrkETzzxhNxeCIvE2EIk1NnZiTlz5sjnRUQhkXqNhQRIIHgJVP+wEbr4nwHt/uA1kpa5RKCiejGaG5lizCVYYdooJToZS6dfi1FpvI4L07eAV91Wbgi4OzgFQu4SY3sSIAE1EqBASF2rSoGQutaT3pAACTgnoLweoEDIOS/WkgAJkAAJhAkBrcaI5PgG6KMrBi0QEsgM3Rno7Bg1ID1DezNqdn+HzV+/iy+//BK7d+8esI+rDcaOHQsRnSJzTBZGzx7raje2CxABq0BITC+iCJXXDiwwC5CpHk9LgVAPOgqEvCcQmjMxC8su90wgJFYjLy8PbW1tqKmpkSP/WAVCQrQjogj9/e9/7xMRSAiH3n77bfm8iApkLQaDAb/73e+wYsUKPProo3LEIVHniUDo7rvvhhD6XHPNNbjjjjts8zc0NGDevHmyOMmeQGjt2rWyuOnjjz+WoxKJ+UUKtUMPPVT2sbS0FMnJyeK0XJhizEqCzyQQGgTKv/wCFau/hjZah5FnpcBirgkNw2mlXQJV9eegoda1dMRMMWYXYVicFNcHV0z5PWbmzggLf+mk7wgoNwTcnYkCIXeJsT0JkIAaCVAgpK5VpUBIXetJb0iABJwTUF4PUCDknBdrSYAESIAEwoSALrIbKfF1iItplFOMDSbNmEDmqkCoq6Ue1Tu/wc9fr8Snn36K8vJyrxEfNWoUTj/9dOSOz8foORQIeQ2sjwbqLRDqNkahuiETXYZoH80WmGEpEOrhToEQ8OmG/bhl+feDfiOePXuElGJsYp9xXI0gJDpNmTJFFtxUV1dLEeTiYBUIiboffvgBo0ePFody2bJlC4SoRoh03n33Xetp27MQ4whhpkjrtXXrVvm8uwKhjo4O5OfnywIfkQJMp9PZxhcHq1atkqMDORIIiehFIppQ73LllVfKKcy+/vprOQKRtY4CISsJPpNAcBOwmEwoeX8lan6WIgf9UmLS45F7ghT/0txqPcXnECNQ23wmaqqiXLKaAiGXMKm2kRQYFmePO1t6nKlaH+mY7wkoNwTcnZECIXeJsT0JkIAaCVAgpK5VpUBIXetJb0iABJwTUF4PUCDknBdrSYAESIAEwoRAfEwz0pOqodGY0GHsGHQUIVcFQt2tDTaB0GeffSangvEWcrGxLQRCOYfkUSDkLag+HEekhdNro5GoT4DFEoG2zngcbBjuwxn9P3R/gZAZZrMRZmnz02QyYlphPIoy1CWKske5j0BISgOl0fQ8pFAxtmgx4v0wUMlP0eDwrIGjD4gUWIMpvtgQqG7owOk3fSgldxxcuefSIzF3cnafQVwVCIn3oxDzpKWlYefOnfIYVoFQZmYm9uzZ02fcV199FUuWLJFTeF188cV96qwvTjjhBDlqkIhIFBMT43YEIZGmbOrUqbj88svxyCOPWIe1PYtx8yUBkSOB0IEDB5CUlGRrLw4efPBB3HbbbXj99ddx8skn2+ooELKh4AEJBC0BU1cXdr/xOpqK9/azMXnUEGQc0Sx9ZjD0q+OJ4CfQ0HYaqiriXTKUAiGXMKm+0fEj5mHJpEuhiRj4s5/qYdBBtwkoNwTcHcAX1wPu2sD2JEACJBBoAhQIBXoFvDs/BULe5cnRSIAEgpuA8nqAAqHgXi9aRwIkQAIk4CcCibGNSE8+KM/mT4GQsbMNtXvWY+vqd/DVV1/Zok54w+1x48Zh4ZkLkVGUiVGzxnhjSI7hYwK9owiJ6EEHanNgtqhnE6CfQMhihoiMYLIJhOLCRyC0vRlabSQ04qHRyCKhcBIIiR+lyx74HzaX1Hn8UxWrj8T7y05GbHRknzFcFQiVlZVB/J48/vjj5bRhYhCrQGjhwoV46aWX+ox755134r777sP777+POXPm9Kmzvrj00kvx2muv4aeffkJRUZHbAiEx9qJFi3DXXXfhr3/9q3VY23NraysyMjLsCoTWrVuHlpYWW1vrgUiTtnTpUgiB02mnnWY9LUdDElHrKioqbOd4QAIkEDwEuqWf552vvoz2qiqHRmUelYOEQvEzPFi5pcMpWOEjAs2d81Gxb4hLo1Mg5BKmsGh0ZPYRuPqIPyNKSj3GQgLuEFBuCLjTV7SlQMhdYmxPAiSgRgIUCKlrVSkQUtd60hsSIAHnBJTXAxQIOefFWhIgARIggTAhECiBkMVsQn3pT9iz9m1s2LABX3zxhVeIa6WoJIcddhjOWHgGMsYMR/7UAq+My0F8S6C3QMgiCYNaO+JR3Zjp20n9OLpdgZD0MyAEQmYRQaggDiPDIoKQAZ9LAiFNpBAHiehB4SkQ+n5HNa56fLXH78DLThmHS0/qnz7RVYHQTTfdhEcffRRC+HPNNdfIdlgFQhdccAGeeuqpPraJtqLPf/7zH5xxxhl96qwvzjzzTHz00UeorKxEYmIi1q5dK6f8uv7663HLLbdYm9mehw8fDvEQv/9FWblyJc4991y5reijLFWSUGDEiBEUCCnB8DUJqIxAR001dr7yMrqamgb0LP/kfEQllw3Yjg2Ci0Bb9wzsK81xySgKhFzCFDaNxqWPxfVHL0WcLi5sfKajgyeg3BBwd0Q1CoQ6Oztxzz334MILL8TIkSP7ISkuLoaI7mmvZGVlYdKkSX2qhNBfFHEDQmFhYZ86Ry/Wr1+PgwcPIicnR/7+xlE7nicBEggOAhQIBcc6eMsKCoS8RZLjkAAJhAIB5fUABUKhsGq0kQRIgARIwOcEeguEzFJUk3ZDu/zwdGJXU4yJG74by7dh/8b38fMPG+TIFAbD4FNFDBkyBDNmzMBRc6Yjd3I+UnPSPHWF/fxIoLdASEzb1R2N8to8P1rg26mUAiGL9LNmNksPWwShWIwcGgYpxpqEQKhFiiAkiYOkCEIRQiAk0kWEUYox6zvtb//ZiJXflFpfuvw8JicZz1wzG/oobb8+rgiEfvjhB8yePVuO8vPNN99Ar9fL4zgTCH344Yc466yzZDGREBUpi3h/jx8/Hh0dHRAbCqLs3r0bEydOxEUXXQQRyad3aWxshNhcGDt2rE0gtHXrVhxxxBEQQqMXX3yxd3P5WIhITz31VK8JhPbv3w+RloyFBEggeAi07NuHXa+9AqO0celSiQCKzs5FROR+l5qzUXAQ6DQdjpK9rkX4pEAoONYsmKzIS8rFzTNuRGpMajCZRVuCmIByQ8BdU9UmEPr0009x7bXXyp/VP//8c0ybNq0fkmXLluHuu+/ud16cEBE/ly9f3qcuPj5eSvtpka8xPvjggz519l6IyKAi4mhzczPs3Zxgrw/PkQAJBJYABUKB5e/t2SkQ8jZRjkcCJBDMBJTXAxQIBfNq0TYSIAESIAG/EegtEBKTDjbNmMGQga72Ikn/I+3aDFA6mqpxcNvX2PPj13KaMUd3qQ0wTJ/qMWPGyKlkssbkSOnFRkOr65uCp09jvggaAkqBkMEYheqGYeg0xASNjYM1RBYJSV+cyv+ZLZJASIoeJD/MODI/RhII9Qg1BjtPMPevlARCX+xolcRBInpQTwQhIRKSFEKSRqjn4Yr9+SkaHJ4l+jkv7e3tzhsMUOvLDQGD0Yzrn12HtVscp9BRmpeXkYAnrpqBoSn2fy6cCYSMRiOefPJJ/O1vf0NXVxe+/PJLHH744bYpnAmERPouEZmtra1NTiGWmdk3utfrr7+Oiy++WN5suP322+UxhVho6NChyM7OxubNmxEpRY2ylocffliOFNRbINTd3Y1DDjkENTU12LhxoxwtyNpe/OycdNJJ+Prrr70iEDr22GPx3XffQaRaE6JSFhIggcATaC4tkcRBr8Ik/S5wp2illIsjz0qTNiar3enGtgEk0G0ehb17prhkAQVCLmEKu0bpcem4bcbNyEzo+3kk7EDQYZcIKDcEXOrUq5Evrwd6TePTQxG19uWXX5aFPSJyj2Aiogg5Eghdd9118nWD+Iwv/O9dRMpfESmodxECIXEDiLje+P777+XP9L3rlcdPPPEEbr75Zrk9BUJKOnxNAsFJgAKh4FwXT62iQMhTcuxHAiQQigSU1wMUCIXiKtJmEiABEiABrxPwvkAoHV0dkkDI0j+6hdJ4i5Raqb5sE/Zv+ABbtmyGuJtN3E3maRGb0bNmzcKkIw5H1qE5yBw73NOh2M/PBIQ4RK+NRqI+QZ7ZYolAe2ccqhqy/GyJ76aTBULS8OJZRBCyiAhC8sMkC4RGpEf5bvIgGbmqyYgvdrX1EQdFSBGExPqLYn0eyFw1CISEj2ZJKPbPD7bh5U93oVsSDDkqgs6xh2fjhsWHIz5G56gZrAKho446ShbSiIYiNZeI5iNEOiL914QJE/DYY4/hyCOP7DOOM4GQaGgVAQlxkEhJIKL9CBHQxx9/jLvuukuOCCQ2BHpvIlxyySVYsWKFHBVI3Kks6t5991289NJLcvSe3NxcWwQhMYc4/4c//EFOPfbAAw9gypQpEJF+7rvvPggB0VdffeUVgZCYQ8z1+9//HkuWLIGIaCSYsZAACQSGQNPePdj1+gqYPYwkGZ0ai7yTddLf1ebAOMBZ3SJgsgzDrt3HutSHAiGXMIVlo5SYFNwx61ZkJajnWiEsF9IPTis3BNydUg0CoSYpbadI7SvSAC9duhT19fUQgn1HAqHLLrtM/gwv+rlyfSYEQuJzu0gdfP755/dLV9ybuRAricij4iYCEc2UAqHedHhMAsFLgAKh4F0bTyyjQMgTauxDAiQQqgSU1wMUCIXqStJuEiABEiABrxLwtkDIYtFJm956GA1p6O7KHdDWrpYaVO9cg4pt6+WoEWIDWHxp5G5JSEiQv5SaJm3yDh89HIXTi6DTO95Id3d8tvc9AWUUoW5DNKrqcmAwDxwpxvfWDX6G3gIhSSEki4SEQEgIhabm6REWAqFmI77c1SEJhCRRkPTwJL2YWAm1CISs76rKuna8/fVerN5UiX3VrTBL7w8hChqSFI3p44fh1OkFGF8wcCoNq0DIOq71WWwIjB49GieeeCJ+97vf9YnmY20zkEBItBOpxv74xz+iurpvpI4FCxbIoqPU1L42ihReixcvlu8kts4jUoutWrVKFnMKUafYSOhdRJQjcUdx75STIrWYEDUVFhZi4cKFsrjH2mf+/PlYt24dRJQjZRGpzcQmyKuvvipHlrPWC8HUvHnz5GhF4twpp5wib4JY6/lMAiTgPwKNu3Zh95uvwyxFHRhMSSpMw7DprdLfVvciEA1mTvb1jIDFEoMdu89wqTMFQi5hCttGydFJuF0SCeUk5oQtAzo+MAHlhsDAPfq2UINASIj6X3vtNVm0L743ERE/hRjfkUBIpBYW1xVCqO9KEQKhuXPnylGJxGf7nTt3OozS+eabb+LCCy+UU5iJz/wUCLlCmG1IIPAEKBAK/Bp40wIKhLxJk2ORAAkEOwHl9QAFQsG+YrSPBEiABEjALwSS4hqlTeiDtrnMUmSTdkO7/LCd9OBACIW6u4YPKBLSamvQ2bgB5T/uxoG9FbJISGz2imgRrhZxJ9zkyZPlR+aI4Sg4cgTih/REonF1DLYLPAGlQEgH6b/udGyuVcdaWgVCsjhIJBqTosfIkYSknzmdpIHSRlhfi2eLCDUkL4qtX+CXyGULbHeairRh4j9NT/owMzTolvR/PVGDhEiop146IY9t6zfATGoTCPV21yS9Lxpbu5AgRQqK0g0cia13X/Hlf3l5ee9TEBF/xJf2AxUhyCktLZXvLBapAxwVkZ5sx44d8iMtLU1OIaBMOda7r0g18NNPP2HPnj0YNWqUnKpMpCDYu3evnIogPz+/d3P5uLa2Fj/++CNEijgR2UcIiUQEpGnTpuGaa67BnXfeaesjNi5EioSioiLbOeuBiAwkUpYJgVRcXJz1tPws6sRdy+I9N3XqVIebGH068QUJkIBXCdTv2I49b70JiwfCcHuGDJ2aheRRlVJVz99Pe214LjgI7NyzWI6iN5A1FAgNRIj1ifpE3DbrFuQn5REGCdgloNwQsNvIyUk1CISU7g0kEBJC+oMHD2LTpk3KrnZfi2uN2bNn4/LLL8e5554ri/1vuOEGu21nzJghRzVduXKl/BmcAiG7mHiSBIKOAAVCQbckgzKIAqFB4WNnEiCBECOgvB6gQCjEFpDmkgAJkAAJeJ9AhLSBIgRCaUl9o0F0GDvQ0tU/GoO7FgiRkKE7QxIJZUtaB/vRfHS6g9BFbUdDeT3Kf9qHmv3Vcjqc9evXo6KiwumUIgqJiEYhNo3z8vKQkT8MeVMLkZSRJAsPnHZmZdARUAqEJPkITIZYFNdkB52tnhpkFftYBUDiuUck9MuziCgknwtdcZCVjVXsI57lh/Tz2nMsnnuOpQP5nOhjbW/t7+xZzQIhZ36Hc93y5ctx5ZVXQkQFuuiii8IZBX0nAVUQqNu6BXvfeVuOoudNh/KOz4d+SJk3h+RYPiCwt+x86fpg4IihFAj5AL4Kh0yQUhTfOvNmFCYXqNA7ujRYAsoNAXfHC0eBkLj5SkR1FmnI9Ho9Ro4cCWc3EAiBkEj1/t5778k3A4i08SKKUFRU3xTaa9aswfHHH4877rhDjuAp5qFAyN13JNuTQGAIUCAUGO6+mpUCIV+R5bgkQALBSEB5PUCBUDCuEm0iARIgARLwO4GkWCmCUPKvEYSEAd4SCImxLJZI6Q7haOmoJ0KIONe7REQYpHRDnTAZTWg+2IzKbRU4uKcSIt+9SE+zfft2ObS1iIwhhBNCFCS+pMvNzcWYMWPkyBDJKclILxiK7Il5iEuNk9v0noPHoUFAKRASVnd1R6O8Vj13BMvCoF+WQz7+RQwkyYPk97e0U9rzLLWxtZXahFyRhD+iWEU/Pc9CDGQVCUn1vcRBvdvKHQf4hwKhAQCFaLVIEybSHihLfX29LAQVEYVEJKGUlBRlE74mARIIIQK1m35G8cr/el0cZEUw8qw8aKL2WV/yOQgJlB04H+2tFAgF4dKErEnxUXG4ZcbNGJk6ImR9oOG+IaDcEHB3lnAUCI0YMQJVVVV9UIlUv3fddRd+85vf9DkvXlgFQh988AGefvppOeLns88+K6ca7t1YpC773//+h11SelERocgXAiEhbBKRUcW6Oyvi+6WYmBhnTeRopmL9nRVxfeKvNiJqqhBdie/EHBUR7VVEa42MjHTUROYjvmtQCrh6dyBHclS+rykQ6v0TEvrHzgRC/P3I34/8O+P4Z9yVv/uu/L12PANrfEFAeT1AgZAvKHNMEiABEiCBkCMQFdmFlIQ6xMf8GjHImwIhd4CYTWZ0tXWhYX8dqnZUormmCeLuM/HByixFVrEW8YWH+MMuvohKGpqMjDGZSMlOhT5ebxMkWNvyOXQICBGJXhuNROkuYGtRm0BI+GUT/tiOJQGQ+F+IhXoO+rSxsgjV51/FQUIUZBUN/Ro5SPhlFRK56iMFQq6SCq12V1xxBUpKSrBw4UI5HZn4gnvr1q149NFH5VRhjz32GJYsWRJaTtFaEiCBPgTqNm/C3nff8enfOY2UnrFo0VBpjr6bm30M4YuAEqioWYzmhoEF0IwgFNBlCrnJ46JicfvM21CYUhByttNg3xFQbgi4O1M4CoSE0Ef4rdPp5HRgIrqziOYpNo3tCX96C4Ta2trkz/E5OTn49ttvbbh3796NSZMm4bLLLsMjjzwipyv2hUCouLgYwobx48c7vMYUKYpFuuHRo0c7FMkIgZRIVSyEUcpUxVan6urq5JvahK/JycnW032em5ubUVZWhmHDhiE9Pb1PnfWF4CrSMYv0zSI1sr0i0jaLm+cSExPl6Nn22ohz4trJGvXJURsR3Ul8vzZ27FhHTUCO5Kh8P1Ig5PDHJSQrHAmE+PuRvx/5d8Y/f69D8hdHCButvB6gQCiEF5OmkwAJkAAJeI+ASDOWKKUZG9IrzZhZimLSbmiXH96byfWRjAYjulq70NncgaYDjWipbpaEQ5JIyGSBNlIjCYGikSClEUsaloToxBhExekRKW0GsYQ+AWUUITUKhMQq9RYJCXVQT5CgX4RCskgo9NfS5oGsC+oRB4lzVsGQtd5dcZDoR4GQlZ66nl955RU899xz+Pnnn2VhqNU7kdZAbCQce+yx1lN8JgESCEECjVLEgF1vrIBFurvf1yUqKRoFp8VIUYoafT0Vx/eAwMGGc1Bf4zgCgnVICoSsJPjsKoFEfSLunnMHshKyXO3CdionoNwQcNfdcBQI2WO0ZcsWOY2YEA2Vlpb2idDTWyAk+t5666146KGH8NFHH2HmzJnycFdddZUsMhKf80WEoh07dvgkglBDQwO6u7udpkQToh0hIsrMzLTnqnxORAgQIiJHgh3RSNzMUFtbK8/lKGKPiMQjxEZCbCHei46KiJ4tNmUFS0dFjCOiHiUlJTlqgurqajl6UGpqqsM2wmbxfYQjwZLoSI7kqHw/UiDk8EcqJCscCYT4+5G/H/l3xj9/r0PyF4cPjRZpaFetWoU777xT3jcQQuabb74Zb731lizCvuaaa3D22Wd7bIHyeoACIY9RsiMJkAAJkIDaCERqjEiKr0dyfIPNtUBFEbIZIB2IDwPGLiOM3UZJHCRFEJL0EyJzkUargTYqEpF6nRReWTrBohoC4SIQEgumFAnJiyhrhAa+oz7UFlyKFyT98Fqtth04vKvT2tLRMwVCjsio47xIC7Bp0yb5b0BRUZHDO3LV4S29IIHwINBcVoqdr7wMs/Tz7a+SkJuC4bM6JZFQp7+m5DwuEqhtXoiaKv2ArSkQGhARG9ghkBabhrtn34mhcfajddjpwlMqJqDcEHDXVQqEfiV2+eWX4+WXX8batWsxceJEW4VSICTELuPGjcP8+fPx+uuvyyIaEa1HiP3feOMNuZ+vBEI2o3hAAiTgVQIUCHkVZ8AHcyQQCrhhNIAESCAsCYgUtp9++ik+++wzHHXUUfLNo3/+85/ltKlif1DsoXz88ceYMWOGR3yU1wMUCHmEkZ1IgARIgATUSiAxthHpyQdt7gWDQMhmDA/ChkA4CYR6FtUaPaj3EqtPINRLHSQ7KoR+ynO9CQx0TIHQQIRYTwIkQALBQ6Ct8gC2v/QiTNKd9v4u6ZOkNLTjqqVpf01V628bOF9/Ao1tp6CyIrF/heIMBUIKIHzpMoFh8cOkSEJ3IiXaftoflwdiw5AnoNwQcNchCoR+JbZs2TLcfffd8t3cJ5xwgq1CKRASFZdeeqksDtq8eTNWrFgh3xHee2OHAiEbPh6QQEgQoEAoJJbJZSMpEHIZFRuSAAn4mICIyJiRkSFHmNy4caM823HHHYd169bh+++/h0jpeuKJJ+LUU0/Fa6+95pE1yusBCoQ8wshOJEACJEACaiWglaIIJcc1IDmhXnaRAiG1rnRw+xV+AqH+69E3slD/+lA840kaMWd+UiDkjA7rSIAESCB4CHRIaSy2v7AcBilVR6BKznF5iMnYF6jpOa8dAi2d81C+b+DoLhQI2YHHUy4TyEvKxZ2zb0d8lOOUPS4PxoYhS0C5IeCuIxQI/UrswgsvxJtvvont27cjNzfXVmHRYEbdAABAAElEQVRPICRSiU2fPh1Lly6VBULJycn45ptvbH0oELKh4AEJhAQBCoRCYplcNpICIZdRsSEJkICPCezduxeHHnooFi9ejGeffVaeTaSBHTJkCITQXJSCggI5uvyPP/4ov3b3H+X1AAVC7hJkexIgARIgAdUTiIrsRkp8HeJjm2G2mNFuaJcfqnecDgYNASEk0WujkahPkG3q6o5GeW1e0NhHQ4KDAAVCwbEOtIIESIAEnBHoamrEtueXo7u52Vkzv9SNWJgPbXSZX+biJAMTaDccjbKSgT/fUSA0MEu2cE6gKG0kbp95K6Ijo503ZK1qCSg3BNx1NNwEQu2SoFev18spHXqz2rBhA+bOnQuRKkzczd272BMIiXpxt/d3330HcWf4v/71L5xzzjm2bhQI2VDwgARCggAFQiGxTC4bSYGQy6jYkARIwMcESkpKMH78eFuEIJGqtqioCCKK0H//+1959gkTJqClpQWlpaUeWaO8HqBAyCOM7EQCJEACJKBmAhGwIDGuEUOSRCoGgFGE1Lzawetb7yhCFAgF7zoF0jIKhAJJn3OTAAmQwMAEDG2tkjjoeXTW1w3c2A8tIrQaFJ2TKc10wA+zcYqBCHQZJ6G4eOxAzUCB0ICI2MAFAhOHHYYbj7ke2gitC63ZRG0ElBsC7voXbgKhNWvW4A9/+AMuuugijBs3DgaDAd9++y2efvppiJt5vvrqK3kTpzdHRwKhjz76CGeeeSbEXeAi6pBOp7N1o0DIhoIHJBASBCgQCollctlICoRcRsWGJEACPiZgNBqRn58vf8785JNP8M477+Cee+7B//3f/+GOO+6QhUHZ2dk47LDD8PXXX3tkjfJ6gAIhjzCyEwmQAAmQgNoJyKnG4qVUY/H1FAipfbGD1D8KhIJ0YYLILAqEgmgxaAoJkAAJKAiYpc3EbS88j7bK4BLj6BKiUfibOFjMPel0FWbzpR8JGMwjsWfPEQPOSIHQgIjYwEUCxxXOxR8m/87F1mymJgLKDQF3fQs3gZAQ7px66qkQd29bi1arxbx583Dfffdh5MiR1tO2Z0cCIZE6e9KkSTj//PNxzTXX2NqLAwqE+uDgCxIIegIUCAX9ErllIAVCbuFiYxIgAR8TeOCBB3D77bfbZhGf30XEyhEjRuC2227Dgw8+iKuuugrLli2ztXHnQHk9QIGQO/TYlgRIgARIIKwIREe1Iy2xFhZNPVq6WsLKdzobeAIUCAV+DYLdAgqEgn2FaB8JkEDYEpA2A3e/8Trqd2wPSgRxWUnIPtYgiYQ6gtK+cDHKZBmKXbuPG9BdCoQGRMQGbhBYPOE8LBjzGzd6sKkaCCg3BNz1SY0CoYEYmM1miHQPNTU1SExMlDdnRNoxFhIggfAlQIGQutaeAiF1rSe9IQE1EHjooYfw9ttvY+jQobj66qsxa9Ys2a0LL7wQq1atwvr165GTk+ORq8rrAQqEPMLITiRAAiRAAuFAQBNhRqTWiLiYBkTpy9FuaA8Ht+ljkBCgQChIFiKIzaBAKIgXh6aRAAmENYH9n3+GA2vXBDWDtAnDkHZYLWAxBbWd6jZOj+27Fg7oIgVCAyJiAzcIiPRIfznyzzg6Z7obvdg01AkoNwTc9SccBULuMmJ7EiAB9ROgQEhda0yBkLrWk96QgJoJiBRkW7ZswcSJEz12U3k9QIGQxyjZkQRIgARIIFwIiHRjkdp2RERWQRd1MFzcpp8BJiC+vNdro5GoT0BXdzTKa/MCbBGnDzYCFAgF24rQHhIgARIAan76EcUr/xsSKLJn5yI2a39I2KpWI3fuXQyzyeLUPQqEnOJhpQcExI0It8+8FWOGjPagN7uEIgHlhoC7PlAg5C4xticBElAjAQqE1LWqFAipaz3pDQmEOoFnnnkG8+fPR0FBgU9cUV4PUCDkE8wclARIgARIQH0ELIiI6JYiCVVKD26kqG99g9MjaxQhCoSCc30CbRUFQoFeAc5PAiRAAn0JNJeVYsd//i0F5QmdqDyFvylAZFxpX0f4ym8Eivedj65O5+8XCoT8thxhNZG4CeFvx96DzPhhYeV3uDqr3BBwlwMFQu4SY3sSIAE1EqBASF2rSoGQutaT3pBAKBPo7OyUU4elpaVh27Zt0Gg0XndHeT1AgZDXEXNAEiABEiABtRKIiDBI4qAKCoTUusBB6FdvgVBFbS4kmVoQWkmTAkWAAqFAkee8JEACJNCfQGd9Hbb+6zkYOzr6VwbxmQhNBIrOyQIiKoLYSvWatq/yt2hrMTt1kAIhp3hYOQgCwxMycd/cZYjVxQ5iFHYNBQLKDQF3baZAyF1ibE8CJKBGAhQIqWtVKRBS13rSGxIIZQI7d+7E4YcfjkWLFmH58uU+cUV5PUCBkE8wc1ASIAESIAE1EojU1SA6pliOJKRG/+hT8BGgQCj41iSYLKJAKJhWg7aQAAmEMwEhCtq6/Dl01tWFJAZdbBQKFybCYg5N+0MS+i9GH6hZjKYGphgL5TUMddunDJ+M66cvla5xeSNCqK+lM/uVGwLO2tqro0DIHhWeIwESCDcCFAipa8UpEFLXetIbEghlAo2NjcjLy8OCBQvw/PPP+8QV5fUABUI+wcxBSYAESIAE1ERAE2FGXHQrYmL2o8NUrybX6EuQE6BAKMgXKMDmUSAU4AXg9CRAAiQgEbBYLNj58r/RVFwc0jxihyUgZ55FEgm1hbQfoWb8wYZFqK/ROjWbEYSc4mGlFwicfchZWDTuLC+MxCGClYByQ8BdOykQcpcY25MACaiRAAVC6lpVCoTUtZ70hgRCncCtt96Kp59+GmvWrMGoUaO87o7yeoACIa8j5oAkQAIkQAJqICBEQfExLUiMbZRSLgBajQkGSzNaulrU4B59CBEC4k5evTYa+oh0MMVYiCyaH82kQMiPsDkVCZAACTggUP7lF6hY/bWD2tA6nTp2KNInN0iiJ2NoGR7C1ta1LEB1ZbRTDygQcoqHlV4gIK45rj96KaZkTvbCaBwiGAkoNwTctZECIXeJsT0JkIAaCVAgpK5VpUBIXetJb0gglAlUV1dj/PjxaGtrg06ng/jsbq8UFRVh9erV9qoGPKe8HqBAaEBkbEACJEACJBCOBCJggVZrRFJcA5LjG2QEZosZ7YYO6cE7q8PxPREon0UUoVhtJg7U5sBs0QTKDM4bhAQoEArCRaFJJEACYUWgcfdu7HrtFTmKkFocH350DuLzy9XiTtD70dh+CirLE53aSYGQUzys9BKBWF0s7pu7DMMTMr00IocJJgLKDQF3baNAyF1ibE8CJKBGAhQIqWtVKRBS13rSGxIIZQJCIDRx4sQBXRACoa+++mrAdvYaKK8HKBCyR4nnSIAESIAESOAXAlpNj0goJaEntViHsYNRhPju8CsBCoT8ijukJqNAKKSWi8aSAAmojEBXUyO2PPsMjB0dKvMMKDg1H7rEMtX5FYwOtXQdh/KyoU5No0DIKR5WepFATmI2ls29BzGRMV4clUMFAwHlhoC7NlEg5C4xticBElAjAQqE1LWqFAipaz3pDQmQgHMCyusBCoSc82ItCZAACZAACUjpxYxIFpGEJJEQBUJ8Q/ibgFUgVFmXDZNZ6+/pOV8QE6BAKIgXh6aRAAmomoDFZMK2F5ajtaJClX6KdEMjF2UjQstIQr5e4HbDdJSV5DudhgIhp3hY6WUCR2VPw/8d9Vcvj8rhAk1AuSHgrj0UCLlLjO1JgATUSIACIXWtKgVC6lpPekMCJOCcgPJ6gAIh57xYSwIkQAIkQAIyAatISB9TwQhCfE/4lUCPQGgYKutyKBDyK/ngn4wCoeBfI1pIAiSgTgKlH32Ig+u/V6dzv3iljdZh5FkpsJhrVO1noJ3rNB2Gkr2HODWDAiGneFjpAwKXHb4EJ4yY74OROWSgCCg3BNy1gwIhd4mxPQmQgBoJUCCkrlWlQEhd60lvSEAtBEzSDWklJSUoLS3FkCFDbKnHDAYDdDqdx24qrwcoEPIYJTuSAAmQAAmEGwEhEkqMq0OUvhzthvZwc5/+BoiAuIs/wpKEttaxMJoiA2QFpw1GAhQIBeOq0CYSIAG1E6jbshl73n5L7W7K/kUPiUfeiRpJJNQSFv4GwkmDuRB79kxzOjUFQk7xsNIHBKK0Ubhv7t+Qm5Trg9E5ZCAIKDcE3LWBAiF3ibE9CZCAGglQIKSuVaVASF3rSW9IQA0EXnjhBdx///0oK+tJ+X7ppZfi8ccfx08//YSLLroIn332mSwa8sRX5fUABUKeUGQfEiABEiCBsCUgREKR2jZERB6ELupg2HKg4/4jYDKY0FZvQktNKro7DYjQREIXm4jopKGIkp5ZwpcABULhu/b0nARIIDAEOmprsPW5f8LU3R0YAwIwa3LREGQc2QyLxRCA2dU/pdkyBDt3O4/UQoGQ+t8HwehhTlK2JBJaBr1WH4zm0SY3CSg3BNzsDgqE3CXG9iRAAmokQIGQulaVAiF1rSe9IYFQJ/DPf/4TV199NTQaDaZOnYrvvvsOVoHQQw89hFtvvRVXXXUVli1b5pGryusBCoQ8wshOJEACJEACaiagiejxzmxx5KUFmohu6PQH5GhCjlrxPAl4SsBsMqP5YBMO7qxCZ0sHTAaztBmphdlshhxRSBsJbWQUtPpYxA8tRGreoYiMjvN0OvYLUQJqFQgZWlvQUVsLQ1ub9L6Ohj45BdFpaSG6SjSbBEhALQQsUpjnrf96Dm1VlWpxyWU/hk3LRuKIA1J7hx+OXR6LDfsSsECHHbvO6ntS8YoCIQUQvvQbgXmFx+H3ky/323ycyHcElBsC7s5EgZC7xNieBEhAjQQoEFLXqlIgpK71pDckEOoEcnJyINKIffDBBygsLER2drZNINQt3aQm6ocPH44ff/zRI1eV1wMUCHmEkZ1IgARIgATUTGBobDfidUaUNMU63AaJ1NVBH10sKXo71YyCvvmZgNh262hsx/6fytBa04Ku1k40NTbJOWerqqrQ0dEBrVaL1NRU5ObmSh8KsxAVEw994hAk5xyCtMJJ0gi/KNz8bDun8z8BVQmELBbUbd2Kqu/Woe3AASlSRd9N6GjpPT/08MnImHoENIPIt+z/VeKMJEACaiGw/4vPcWDNarW447Yf+ScVICql1O1+7DAwgV3Fv4XJaHbYkAIhh2hY4WsC0mXF/037K47Kdp4Gz9dmcPzBE1BuCLg7IgVC7hJjexIgATUSoEBIXatKgZC61pPekEAoEygpKcH48eOxaNEiLF++HA0NDX0EQsK3Qw89FE1NTbb0Y+76q7weoEDIXYJsTwIkQAIkoHoC2fGdGJ7UiN1NOjS02o9aoYuqQnTMbtWzoIP+IyCiBjVVNaJsfQla61tQvq9cDiVZV1cnC4O6urpsEYR0kkBCfKhLSEjAyJEjMfWIIxCbmIbEzCJkTpgLTaTOf4ZzpoARUItASEQK2v3G62jZ15Nf2RlQfXIyis5ahLjMTGfNXK5bt24dWltbMW/ePJf7+KNhrRRBacOGDRg1apR814g/5uQcJEACjgm07t+PbS8+D4sUyS+cS9HZeYjQ7QtnBD7xvXj/+ejqMDkcmwIhh2hY4QcCcVFxeGje/UiPTffDbJzCVwSUGwLuzuMrgdB7772HFStWuGsOFi9ejBNPPNHtfuxAAiRAAoMhQIHQYOgFX18KhIJvTWgRCYQrAfHddKb0XbdILfbFF1/0EwiJG8fFd8RHHXUUVq1a5REm5fUABUIeYWQnEiABEiABNRMQAqGclFpUGqToLa0p/URCmgiTFD2oEpFRJWrGQN/8SECkDmuqbETxN3tQV1mLjRs3YvPmzWhsbITRaHRoichJK76sFSEnp0+fjvzCIiRmjUH2pBMQIaUhY1E3ATUIhAwtLdj6/L/QJb3XXS0igtCYxb9FQm6e3S4HDx7Eu+++a7dOnDzssMMwbVrPnfAzZ87E9u3bUVNT47B9ICo++eQTnHHGGbj77rvxl7/8JRAmcE4SIIFfCJikUM5bnn0anfX1Yc9Eq9Ni5KJ0KcrbwbBn4U0A+6p+i7Zmx+IzCoS8SZtjeUJgXPpY3DnrdjnVsSf92SfwBJQbAu5a5CuB0MMPP4xbbrnFXXNw77334sorr3S7HzuQAAmQwGAIUCA0GHrB15cCoeBbE1pEAuFMYP78+Vi7di3OOeccnH/++Tj55JNx3nnnyVGFbrzxRmyVIu/feeeduOaaazzCpLweoEDII4zsRAIkQAIkoGYCVoFQtakNJrO2n0hIp6uFPqZY+oK0S80Y6JsfCbTVt2LX/7ajqqxK/iAoPvC1SVFVXC2RkZHIysrCMcccg9HjJiA1fyIyD53rane2C1ECoS4QEpE4tj2/HK0V5W6vgC42DuMv/x2iEhP79f32228xd67j9//VV1+Ne+65R+5HgVA/fDxBAiSgIFDywXuoloS7LD0EolNikXeKToqm1EwkXiJwoPY8NDnRn1Eg5CXQHGZQBC6ZeBFOLjppUGOwc+AIKDcE3LXEVwIhIewvL//1WkDcOHP22WcjKioKL7zwgvxstbWsrAzXXnutnIpYbJ6Iu6xZSIAESMCfBCgQ8idt389FgZDvGXMGEiAB1wlUVFRgzpw5EM/2ygknnIDXX38dWq3WXvWA55TXAxQIDYiMDUiABEiABMKNQFykCWkJDdDF1Mmu9xUJWaQvqSolgdDecMNCf31EoKutC2UbSrBvc4kUOegHWSDU2dnp9mziw2Fubi5OPOkkZBeMlgRC86SUYyPdHocdQodAqAuEqjduQMkH73sMfIgUCWjE6Wf0628VCJ111ln485//3K9+6NChsqBOVFAg1A8PT5AACfQi0Lh7F3a+9gpg6XWSh0gsSEXm0e3SJi3F8t54O1Q3no26aseRHykQ8gZljjFYAvpIPR6e9wCGxQ8b7FDsHwACyg0Bd03wlUBIacdHH32EM888E88//7wsFFLWv/LKK7jsssvwxhtv4CTpupeFBEiABPxJgAIhf9L2/VwUCPmeMWcgARJwj0BHR4cskv/yyy8hxPF6vR4FBQVyFKHBfvZVXg9QIOTe2rA1CZAACZBAGBDQRliQFNeIlMRqm7fNbUmoaRqGSF2dlF6sGBqN+wIO22A8IIFfCFgsFjm12PZPt6C0uFT+olPknPW06ETqpTFjsPDMsxCfUYiC6WdDCnXl6XDsF+QEQl0g9NMTj6GrocFjyhHSe3vi1X9BVELfKEJWgdAVV1yBBx54wOn4FAg5xcNKEghrAsb2dmx6+h8wDOLvspoBDp2SheTRVZKLjlNjqdl/b/pW37IAByujHQ5JgZBDNKzwMwGmGvMzcC9Op9wQcHdofwmEbrjhBjz++OP44YcfMHr06H5mrl+/HrNnz8Z1112HW2+9tV89T5AACZCALwlQIORLuv4fmwIh/zPnjCRAAoEjoLweoEAocGvBmUmABEiABIKUgJBTJMY2YkjyQdnCLlMXGlrjpZRPhdBJ0YOiY/YEqeU0K9QIiOhB+38sw67vd0Aow3/++edBu5CamirfTTn2sKnImXwK4tJzBz0mBwhOAqEsEGo/WIXNzzw9aLAFJ52MoVOm9hnHmwIho9GI4uJiiPQHo0aNQkZGRp+57L0QEcB27dolpwkcN24ckpKS7DXrc27//v3Yt28fDj30UCQkJOCTTz7BGWecgbvvvht/+ctf+rTlCxIgAf8Q2P3G66jfvs0/k4XoLLnz8xGdXhai1geP2U0dJ+PAfsd/KygQCp61oiUAU42F5rtAuSHgrhf+EggtW7ZM/vwr0gGLtMDKcsstt+Dhhx/GvffeiyuvvFJZzdckQAIk4FMCFAj5FK/fB6dAyO/IOSEJkEAACSivBygQCuBicGoSIAESIIHgJSAEQumSQEiIg1q7W9HZmQ6jMZXRg4J3yULSsta6FmxbJUUP2lOC//znP9L7bPCRqaxRhM5cdC5Scicga9IJIcmGRg9MIJQFQrU//4S9/313YCcHaDF08mQUnHxqn1beEAi1S5FD7rjjDjz77LPo7u62jV9YWIinnnoKxxxzjO2c9UCIiISY57333oPZ/GtEjWnTpuGZZ57ByJH9U/59/fXXWLJkiS2/tEajkdMqiNQKZ599NgVCVrh8JgE/E2jYuRO7Vrzq51lDc7qRZ+ZDo6dIaDCr19o1F/vLHAtQKRAaDF329TYBphrzNlH/jKfcEHB3Vn8JhDZv3owZM2bAYDBg+vTpyM7OtplaUlICEUEoJiYG4vO+vc/WtsY8IAESIAEfEKBAyAdQAzgkBUIBhM+pSYAE+hBoamrCn//8Z/n7ZvE9sb3yxz/+EYmJiRCCek+K8nqAAiFPKLIPCZAACZCA6gno9QcRF1cCs8UMk9kEQ/cwmEwJUvSg3ar3nQ76h4BFmqa5qhE/rdyInTt24s033/TaxFlZWbj4kkuQkJ6HkXMu9Nq4HCi4CISyQKhy7Rrs+/yzQQNNkVIPjJLEcL3LYAVCXV1dOProo7F9+3acd955+M1vfoOUlBQ51YG4W7mxsRErVqzAySefbJtWRAA66qij0NLSgquuugpz5syRUlFqIARA4i5nIdxbt25dn42M999/Xx4/LS0NN954IyZMmAAxzn333QeRc7q0tJQCIRthHpCA/wiYJFHg5qf+ji7pCxqWgQloIjUoWjQMFlQO3Jgt7BLoMByF0pICu3XiJAVCDtGwIkAEmGosQOAHMa1yQ8DdofwlEBJ2rVy5Etdeey3Ky8v7mZmXl4dHHnkExx9/fL86niABEiABXxOgQMjXhP07PgVC/uXN2UiABPoTEDeoiptMxU2nIqr8okWL5HS7ypatra3y98ZCPP/jjz8qq116rbweoEDIJWxsRAIkQAIkoBYCkREWDIvrQlZ8J6rb9ShtjpE2NJTFgqioKuh7pRKjQEjJiK8HS8BsMqN+Xx1+fH+DfCfk//73v8EOaes/dOhQnHvuucjMH4ORx16CCEmowKI+AqEsEDq4/nuUfvThoBdlyPgJGLFgYZ9xrAKhqVOnYt68eX3qxAuRriAuLk4+P3PmTFkIVFNTY2v3t7/9DSKtwW233YalS5fazosDkW5MjJuZmYmNGzdCr9fL9eecc44cOeitt97CCSf0jdr18ccfY+HChfJ5US+KuCt6shT9SFwAbtiwATk5OfJ58Y+4ODzyyCPluZhizIaFByTgNwL7PlmFym/X+W0+NUwUlRiNgtOlz9TmRjW443cfukwTULx3gsN5KRByiIYVASTwu8mXYX5h/89ZATSJUzshoNwQcNLUbpU/BULCALFRUlZWJn9Wtho0bNgw5ObmyiJ86zk+kwAJkIA/CVAg5E/avp+LAiHfM+YMJEACzglMmTJF/l7aeatfa0888USPbzJXXg9QIPQrVx6RAAmQAAmEAYGM2C6MTW1DtNYspQ/ToN2oRX0XsK9Vjy5DtEwgUlfXL5UYBUJh8Obws4smgwk1xdX48cMNWL16tSwS8JYJIiKJECQUjJ2IkbMuhEYX5a2hOU4QEQhlgVDDLil9z2uvDprm8GNmIOfYuX3GsQqE+pzs9UKIfDIyelK52BMICbGOuGjaunWrJBbt/7MjQr4+99xzEMIfkQKhoqICo0aNkqMGiahA9oqIKPT999/jwIEDSEpKwkcffSSnEhNiJSFGUpYnn3wS1113HSMIKcHwNQn4mEB7VRW2PPesJHT5NU2gj6dUzfDxOcnImt0lsRt8ulTVQHHREaOlALt3H+WwNQVCDtGwIoAE4qPi8cQJjyJRnxhAKzi1qwSUGwKu9rO287dAyDovn0mABEggmAhQIBRMqzF4WygQGjxDjkACJDA4AuKG071798o3ku7evVv+zlhkhlAW8f30uHHj5JtZe6fgVbZz9lp5PUCBkDNarCMBEiABElAVgaGSOGhMSjtiI002v1ot3ag2dKLDqJEeBjR3SNEgLFpZIGRrJB1QINSbBo+9QcBklARCe6vx00cbZYHQ+vXrvTGsPMaQIUOwYMGCHoHQbEkgFNlf5OC1yThQwAiEskDIJKXx+uGhB2A2GgfFb+wFFyExP7/PGFaB0AUXXICbb765T514IaL/iPRfoigFQnV1dfKdyaeccoqcRkxupPjnhRdegMj7LEQ8F198Mb788kuI9iJN2E033aRo3fPyr3/9K5555hk55ZiIHPTYY4/J7V977TWceuqp/fpYBUSMINQPDU+QgO8IWCzYuvw5tEqiPxbPCAyZmInUQ6qlzhRYuUPQbEnFzt19o8/17k+BUG8aPA4mAscWzMEfp/whmEyiLQ4IKDcEHDRzeDoQAiGRcnffvn1yqrEjjjgCCQkJsn0iupD1s7xDg1lBAiRAAj4gQIGQD6AGcEgKhAIIn1OTAAn0IVBfX48zzjgDIkLQ9ddf36fOWy+U1wMUCHmLLMchARIgARIIagKaCCA3oUMSCLXZ7BTioFpTO1qN7Wg3SPk+LWYYpahCFmihieh79zMFQjZsPPASAfHFZsO+ejnFmEhV9Pnnn3tpZMjRURYvXoyhuUUoklKMSTnGvDY2BwoeAqEsEBIU97z1Juq2bvEYqD4lBYf98cp+KfSsAqErrrgCDzzwgNPxlQIhkcf5mGOOwWWXXYZHH33Ubt8PP/wQZ511li0F2Ysvvggx1xNPPIFLLpF+3uyUe++9F3fddResKciuueYaPP300zbBkLLLJ598Il8YUiCkJMPXJOA7At5Kfeg7C0Nj5Oxj8xCbuS80jA0SKy3SzQk7di9yaA0FQg7RsCLABCIiInD37DsxZsjoAFvC6QcioNwQGKi9st6fAqHGxkY5wqYQ5YvUu6KsXbsWEydOlD9Pi3PLli1TmsjXJEACJOBzAhQI+RyxXyegQMivuDkZCZBAgAkorwcoEArwgnB6EiABEiAB/xAQqcWEOCgmsueO5t7ioNbuVpjMv0YVsmcRBUL2qPDcYAk0VTXh55Ub5VCSr746+HRLVnuGDx+OS5csQUJ6PkbMPt96ms8qIxDqAqFO6e6ITU/9HRaT89+/jpZt5IIzkTZ+fL/qwQiEqqurUVBQgJNOOglvvPFGv7HFiX/961+46qqrIDYthFDos88+w+mnny7f4XHLLbfY7WNNSyYESCIdmRD+iI0Nq2BI2enll1/G5ZdfzhRjSjB8TQI+ItDd0oJN/3gSIroZy+AJjFiQD21M2eAHCqMRdhf/Fkaj/chLFAiF0RshBF3NT87D/cfdC22ENgStDx+TlRsC7nruL4FQd3e3HF1zzZo1csQgERm3pKREFgiJtAoiEmdpaSl++uknjBgxwl032J4ESIAEBkWAAqFB4Qu6zhQIBd2S0CASCGsC4mZy8VlYfG63FosU6VqkIEtOTob4XDyYorweoEBoMDTZlwRIgARIICQIxEgpxQqTOpAT3xMVqNUsRQ4y90QOckUcJJykQCgkljrkjGytb8WOT7egeGcxhECore3XCFeeOqPX6zFeEk2cLoknUgsOR+aEYz0div2CnECoC4QE3uoffkDJ+yvdJp0+cRIKTzvdbr/BCITEgDk5OXLagm3btiEuLq7fHCJK0IoVKyDSAoqNivLycowePRpHHnkkvvjii37txcWcSItQXFyMqqoq6HQ6vPLKK3KUomuvvRa33357vz5XXnklli9fToFQPzI8QQK+IbDnzTdQt22rbwYPw1EjtBoULcqUIhgeCEPvPXO5pPx8dLbbF8xSIOQZU/byH4GLJ16IU4pO9t+EnMltAsoNAXcH8JdA6L333sM555yDOXPmQAjmn3vuOdx66622CEIvvfQS/vCHP+D++++XU/666wfbkwAJkMBgCFAgNBh6wdeXAqHgWxNaRALhTEBEqP/3v/+N119/HampqRBpx04++WRs2rRJxnLBBRfI0esjIyM9wqS8HqBAyCOM7EQCJEACJBAqBKTMYsiMk6IHpbahG51oMHeg3diJJkOLnFJsoMhBVj8pELKS4LM3CXR3dOPAlnLs/GY71q1bh2+++WbQwws1+YIFC5A/ajzypi1EdNLQQY/JAYKTgBoEQoJspfTe3//5p7BId0q4UoZMOFQWB0Vo7d+pPliB0IMPPiinDxNpxh5++GFZLGS1S/yczp8/X44wJERC1iIu0kQ0IJGWTPTrXcTGhoggdOONN+Kmm26SqxoaGmRxkRAPiZ/7wsJCWxeRcnDu3LkwGAwUCNmo8IAEfEegZd8+bHthue8mCNORdXF6FC6Il36314cpAffc3l/1W7Q22/87SIGQeyzZ2v8EYnQxePz4R5Aak+r/yTmjSwSUGwIuderVyF8Codtuuw3is/iqVavktL8PPfRQH4HQ6tWrccIJJ2Dp0qXy5/VeJvKQBEiABHxOgAIhnyP26wQUCPkVNycjARIYgMD06dOxefNmbNiwQb4R1fq5eOzYsejo6JCjaD711FMQ30F7UpTXAxQIeUKRfUiABEiABEKGgEgtNjqlHWZNh9tRg3o76Y5AKCpSj7jIWHSbutFmGHxEmN528FhdBIQ4oKmyCds+2YSykjK88847aGxs9NhJ8UFv4sSJmH/8iUjJGYOcqacjQmNfROHxJOwYNATUIhASQJul1AFln3yM9oMHHfLVxccje/YcDD18ssM2omKwAiEhzDn++OPx3XffYdq0aXKag5SUFIj0YCKtWEZGBj799FPk5uba7KisrMTs2bPlaEKnnXYaZs2aJQuLRHoEIRyaMmWKvNEhfkat5cknn8R1110nh4kV6cREmgRxISjulr7wwgtlsZFIRfaXv/zF2oXPJEAC3iYg/R3euvw5tFZUeHtkjicRiMtMRPZxJkkk1E4eAxCorD0PjQ60VBQIDQCP1UFBYHb+LFw59Y9BYQuN6E9AuSHQv4XzM/4SCD3++OO44YYb5MhB5557LpQCISHeFyl9hQBf1LOQAAmQgD8JUCDkT9q+n4sCId8z5gwkQAKuEWiR0t4PGzZMFsgLobwoIhr9rl27UFZWBlEvhELHHHMMPvroI9cGVbRSXg9QIKQAxJckQAIkQALqIaDXmpGf2IH0+CbUmqSUYuLR3QpXowb1JmGx6GCxaKUN3540Zb3rrMdWYZAmQgOtJMrolCIVNXc1W6v5TAJ2CRg6DTiwtQLF3+/G9u3b8f7778NoNNpt6+ykVoqmkp+fDyFOSM8qQO6RCxCTnOGsC+tCnICaBELyUgjBXEkxGnftRHtNDYxt7dBKghp9SjKSRxYhZdRoaKT0XAMVIeRZtGiRfEfFzTff7LT5woULsXv3blu4Vmtj8TMo7l4WoV3FhZgQ82VmZuLEE0/EPffcg8TERGtT27O4WBNRgj744AMclIROERERKCgowHnnnQeRSsxeCFgRNvbOO+9EiSSQioqKwuTJkyFs1mg0WLJkidxPGZHINiEPSIAEBk2gbstm7Hn7rUGPwwEcE0g7JANDJtVJv0ftp89y3DO8aqobz0Zdtf1Q4RQIhdd7IVS91Uife+4/7j4UJOeHqguqtlu5IeCus/4SCAmxvLh7Ojk5Gffeey927NghR/RcuXIl9u7dK3/WFp/Lf5DSFOfl5bnrBtuTAAmQwKAIUCA0KHxB15kCoaBbEhpEAmFLQHzmFd8JX3TRRfj73/8Ok8mE9PR0+WbS9evXy1yEQEgUsX/kSVFeD1Ag5AlF9iEBEiABEggJAsOk6EE5yQ1oQeugxEEDOasUBlnbUyBkJcFnZwTEF5ztDe0oXV+Mqj0H5Agin332Gbq7u51161MnhAfiC1IRbn1YdgEyxs1Aav5EKXqQpk87vlAXAdUJhIJ0edrapBSV0s+jiCLkahF5ovV6KZpcXJxLXUTkMHGhJh4sJEAC/iFgloSAm/7xJLoGEbnPP5aG/ixZM3MRl7M/9B3xoQf1rb/BwQOxdmegQMguFp4MQgKHZRyKW2c6F2cHodlhYZJyQ8Bdp/0lEBJ2WaNs2rNRiOifeeYZWYBvr57nSIAESMCXBCgQ8iVd/49NgZD/mXNGEiAB+wSqqqpkMdDMmTPlCEFCBCSi0Z9++ul45ZVX5E6jRo2Sb2AVN7p6UpTXAxQIeUKRfUiABEiABIKegEgtlpXUiAZzLZoMLTBbzB5FDnLmqF5KJRYrpRKzRgxStqVASEmErx0RMJstaKluQtmGUtSUHURxcTG++eYbVLiQ8kR8WTtp0iT5kTE8F0OKjkBa4WRooyg0cMRbLecpEFLLStIPEiCBQBA4sHYN9n/+WSCmDss5C0/PR2R8WVj67orTTR0n4cD+ZLtNKRCyi4Ung5TAzTNuxKRhE4PUuvA1S7kh4C4JfwqEhG0iktA//vEP+Q5pEZlTRPIcP348rrzyShQVFblrPtuTAAmQgFcIUCDkFYxBMwgFQkGzFDSEBEhAIiD2d0QU+7vuugtfffWVHKH+vvvuw5/+9Cc58rz4LDxjxgx8/PHHHvFSXg9QIOQRRnYiARIgARIIZgIaWJAa34yEuHI0dDf5XRhkZUOBkJUEn10hYDaZ0VrbgsptFajaVYm6ujpUVlbKX47u378fBoPBNoy4c1KEXR8zZoz8EJFNUoYOR8bYmUgcPgqRevt3oNsG4IEqCFAgpIplpBMkQAIBIGBsb8NPTz4BU6fj1LEBMEvVU0ZoIlC0KBvQlKvaT0+da+2ag/1lmXa7UyBkFwtPBimBvKRcPDjvfvkmmiA1MSzNUm4IuAvB3wIhd+1jexIgARLwBwEKhPxB2X9zUCDkP9aciQRIYGACH374Ic4991wYpWjXohQUFGDNmjXyHtDChQtlYZBVMDTwaP1bKK8HKBDqz4hnSIAESIAEQpxAfHQL4iVxUKe5wavioIEiBimxUSCkJMLXAxGwSJGEOls70XSgARVbytFc04SWlhZ0ShuYIveseERERECkFNPpdHL6osTkVCRljUHaiCnQJ6RBq9MPNA3rVUKAAiGVLCTdIAES8DuB0o8+wMFf8rj7ffIwnjAyJgojzkyCRYrwydKXQIdxGkqLC/ue/OUVBUJ2sfBkEBO4YsrvMbfg2CC2MPxMU24IuEuAAiF3ibE9CZCAGglQIKSuVaVASF3rSW9IQA0Evv/+e6xcufL/2TsP+Kiq7I//kkmvJCEhEELvHQsqgg1ERRQromBf17LWtazriu2v6yrWdW2oi2VdXXV17X0t2AsgVTqhhISE9DqZmfzfueyEzMskmTf1zczv+okzc9+95577vQnz3ru/dw7y8vIwZ84c5Ofnq2lJit1Fixbhyy+/VPtB3sxVfz1AgZA3FNmHBEiABEjA1ASSEkuQlLLZb+Igo8IgJxwKhJwk+GqUgL3FjsaaRu2nAZXbKlBbWo3mhmY4bA7EaNGDLPFJSMrMQ3qvwUjN7Yf45HQkJGdAUw8ZHYrtw5gABUJhvHh0nQRIIGQEGsvLsfKJxzSRiiNkPkTzwMl56eh3DDT+ddGMocPcm+1jsHnTuA71UkGBkFssrDQxgezkbPztuIeRaOGDC2ZZJv2GgFG/giUQkien3377bVx//fUYNKijaHLZsmVqc+S0007DtGnTjE6D7UmABEjAJwIUCPmEz3SdKRAy3ZLQIRIggS4I1NfXey0OErP66wEKhLqAzUMkQAIkQALhSSA+oRhJyZt8dt5bYZBzYAqEnCT46i0BSTvW0tgCm7UF8r61VTbUErV0Y/01MVC2SiUmYiEKg7wlHN79KBAK7/Wj9yRAAqEhsPHfr2LP6tWhGZyjKgJZw3ORd2C1dl6zL31qtKOxOfpjw8ZD3WKgQMgtFlaanMD8sWfh5BEnmdzL6HFPvyFgdOaBFghJpFwpf/nLX/DnP/8Zn3zyCSZNmtTBzb///e+4+uqrVbsrrriiw3FWkAAJkEAgCVAgFEi6wbdNgVDwmXNEEiCB0BHQXw9QIBS6teDIJEACJEACASLgi0DIKQoS12JjtEgtsRavvaRAyGt07NgFAYcjCc2NQ7R8tFldtOKhaCBAgVA0rDLnSAIk4E8CjWVle6MHieKWJaQEek8uRPrAnZoPXAtZCAd6YN36mW7XhAIht1hYaXICGYnpeHzmo0iK0x5mYAk5Af2GgFGHAikQ+u677wxHA3rppZdw4oknGp0G25MACZCATwQoEPIJn+k6UyBkuiWhQyQQ9QRKSkrw7rvvoqioCA43Ua979uypxPLegNJfD1Ag5A1F9iEBEiABEjA1AW8EQk5hkK+ioPZgKBBqT4Pv/UXA0ZoIa+NALYpQrr9M0k6YEqBAKEwXjm6TAAmEjMDG11/DnlWrQjY+B3YlMGDWQCRkbnWtjNJPrYjFr+vnup09BUJusbAyDAjMHzcPJw+fHQaeRr6L+g0BozMOpEBo+fLlmD9/vnKpsrISVVVV6N27t0qDoPczMzMTs2bNwo033qgF0WV6bT0ffiYBEggsAQqEAss32NYpEAo2cY5HAiTQFYEffvgBJ598sjoX7qzd0KFDIefO3hT99QAFQt5QZB8SIAESIAFTE4iNbUBC0nbEx+/u1s9ACIOcgzpaHWhoadR+6p1VfCUBPxCIVdGDGutH+cEWTYQzAQqEwnn16DsJkECwCTSWl2Pl449qaa0YsSbY7DsbTzZ3h5xRiBjL9s6aRFX9hi3zYWtxdJgzBUIdkLAiTAhkJGZoUYT+xihCJlgv/YaAUZcCKRBq78vTTz+NJ598EpJKbOzYse0P8T0JkAAJhJwABUIhXwK/OkCBkF9x0hgJkICPBKZOnYqlS5fitNNOw+TJk3HdddcpYfz06dPx+eef4/XXX8ett96KG264wauR9NcDFAh5hZGdSIAESIAEzEwgJsaBhMRi7WdLp24GUhjUflBGEWpPg+/9RcBuT0dD3QR/maOdMCVAgVCYLhzdJgESCAmBTW/8G+UrV4ZkbA7aOQFLYhyGnJ6jCbe6F/Z3biUyjmzZcTaaGuwdJkOBUAckrAgjAmdrUYROYhShkK+YfkPAqEPBEggZ9YvtSYAESCCYBCgQCibtwI9FgVDgGXMEEiABzwjU19cjLy8PU6ZMwYcffqg69e/fH+eddx5uv/122O12JZ4X4ZAI6r0p+usBCoS8ocg+JEACJEACpiYggabjNYFQYtKmDn4GSxjkHJgCIScJvvqTAAVC/qQZvrYoEArftaPnJEACwSXQtKccKx5/DK1ucrgH1xOO5o5AUk4q+s+0aOtT6+5w1NRtL52PumpGEIqaBY+SiWYmaVGEjnsUch3OEjoC+g0Bo54EUyC0evVq9OrVCz179uzg5q5du1BXVwdJr8BCAiRAAsEmQIFQsIkHdjwKhALLl9ZJgAQ8J7B27VoccMABuOqqq/DnP/9ZdRw2bJiKIPTAAw+oz3PnzsXPP/+MDRs2eG64XUv99QAFQu3g8C0JkAAJkEDkEIhPKEZS8j6BULCFQU6SFAg5SfDVnwQoEPInzfC1RYFQ+K4dPScBEggugU3/eR3lK1YEd1COZohA5uAc5B9Sp0USshrqF0mNd+05E1V75FEH18IIQq48+Cn8CJwzbj5mDz8x/ByPII/1GwJGpxYsgVBjYyPGjRuHgoICfPrpp7BYLG2uWq1W9VR1Q0MDli1bpqWUj287xjckQAIkEAwCFAgFg3LwxqBAKHisORIJkEDXBLZv344RI0Zgzpw5WLx4sWos0YLkHPyTTz5Rn48++mhs2rQJmzdv7tpYJ0f11wMUCHUCitUkQAIkQALhTSA9ZY/2BboV9lY7UuJSEBsTC0vsvptLwZodBULBIh1d41AgFF3r3dlsKRDqjAzrSYAESGAfgaY9e7ToQY8yetA+JKZ912tSX2QOLdb8azWtj4F0rKz6dJSXdtzwpkAokNRpOxgEMpMy8cTMR5FgSQjGcBzDDQH9hoCbJl1WBUsg9K9//QsXXHABfvvb3+LBBx/s4JPUv/jii3j55ZdxwgkndDjOChIgARIIJAEKhAJJN/i2KRAKPnOOSAIk0DmBsWPHorS0FFu3blXCIIkmJOnEJHJQeno6nnrqKcyYMQNvvPFG50a6OKK/HqBAqAtYPEQCJEACJBC+BDJTK5GdUaI9hdwaEmGQkxwFQk4SfPUnAQqE/EkzfG1RIBS+a0fPSYAEgkdg81tvomz5suANyJF8ItD/2AFIzCnyyUa4dq6oOwmlxSkd3KdAqAMSVoQhgYv3vwgzBh0dhp5Hhsv6DQGjswqWQGjBggWQNAofffQRDj300A5uSv3JJ5+MW2+9FTfccEOH46wgARIggUASoEAokHSDb5sCoeAz54gkQAKdE/j4448hqcauvPJK1UiEQscccwx27NihPufk5OCtt97ChAkTOjfSxRH99QAFQl3A4iESIAESIIHwJSACoZ6Zu0M+AQqEQr4EEekABUIRuayGJ0WBkGFk7EACJBBlBFrq67H84QfhsNmibObhPd0hp/dHbMK28J6EF97XNB6HnduzOvSkQKgDElaEIYGCjAI8fMwDiNH+Ywk+Af2GgFEPgiUQuueee3DHHXfgn//8J2bPnt3BTYkeJFGEpN3ll1/e4TgrSIAESCCQBCgQCiTd4NumQCj4zDkiCZCAMQLV1dX48ssv4XA4VKpdEQl5W/TXAxQIeUuS/UiABEiABExNwJ1AqKEpBTZ7PDJSq4PmOwVCQUMdVQNRIBRVy93pZCkQ6hQND5AACZCAIrDzi8+xQ/thCS8CsfEWDD0jT4sEWhJejvvobb31CGzb2qeDFQqEOiBhRZgSuGnKjdi/935h6n14u63fEDA6m2AJhD777DPMmjULQ4cOxbvvvouCgoI2V+Up6pkzZ6KoqAjSbtKkSW3H+IYESIAEgkGAAqFgUA7eGBQIBY81RyIBEgg9Af31AAVCoV8TekACJEACJBAAAvEWK3qkVbiIgWrqM1HT0EPVpyXXBmDUjiYpEOrIhDW+E6BAyHeGkWCBAqFIWEXOgQRIIFAEWu12LNOiB7XU1QVqCNoNIIGEHskYeEIiWh3BE/YHcDoemW5smYStW4Z0aEuBUAckrAhTAmPzxuC2w28JU+/D2239hoDR2QRLICR+nXXWWXjzzTeRmJiI6dOno2/fvti2bRs++eQTtLS0YO7cuXjmmWeMToHtSYAESMBnAhQI+YzQVAYoEDLVctAZEoh6AitXrsQ333yDiy++uI3FY489htdffx09evTA1VdfraIItR00+EZ/PUCBkEGAbE4CJEACJBAeBGLQCokilJNZphxubE5BRW1PNFuTXOoDPRsKhAJNODrtUyAUneuunzUFQnoi/EwCJEAC+wiU/7Icm978z74Kvgs7Ahn9s9H7sAZNJNQcdr5747DVMQqbNk7o0JUCoQ5IWBGuBLTsYvdNvxcDewwI1xmErd/6DQGjEwmmQKheSw8qKcQef/xxNDQ0tLmampqKK664Atdddx2Sk5Pb6vmGBEiABIJFgAKhYJEOzjgUCAWHM0chARLwjMD8+fPxxhtvKFH8IYccgldeeQXnn39+W2eLxYIlS5Zg/PjxbXVG3uivBygQMkKPbUmABEiABMKKQPs0YzUNmSiv6qXJhmKQlNCI7PRyJCfuu9kUqIk5Wh1oaGnUfuoDNQTtRiGBvQIhORnU7rKzRC0BCoSiduk5cRIgAQ8IrFr0BOpLoitFlQdYwq5J7n59kDWyVPPbEXa+G3XY1lqIDRumduhGgVAHJKwIYwJH9D8MV0y6PIxnEJ6u6zcEjM4imAIhp28iFNq4cSOKi4tVFKHBgwdD/GAhARIggVARoEAoVOQDMy4FQoHhSqskQALGCUiUzN69e6NXr15YtWoVYmJiVGrdL774QkXWLCsrw29+8xucfvrpePbZZ40PoPXQXw9QIOQVRnYiARIgARIIBwKZqVXomVmKhqZUVNbmwNFqQUpSnfYF60BdYwYssfZupyFt0pJrtB/vU5IxilC3mNnAIAGHPRUN9WPR2hpvsCebRxIBCoQiaTU5FxIgAX8SqCnairXPPetPk7QVQgKFRw9Acl5RCD0IztCO1gys2zCrw2AUCHVAwoowJhAXG4fHZz6K7OSsMJ5F+Lmu3xAwOoNQCISM+sj2JEACJBBoAhQIBZpwcO1TIBRc3hyNBEigcwJbt27F6NGjXVLpFhYWKnH8unXrVEf5nJ+fjx9//LFzQ10c0V8PUCDUBSweIgESIAESCF8CqUm1yMkoQ3xcC+wOC2z2eC3WSqsSBTVak1FenafVx3U7QekTZ7HBov2IzR5pld320TegQEhPhJ99JeBwJKG5aSBsLT19NcX+YUyAAqEwXjy6TgIkEFAC6195GZW//hrQMWg8uASGnDoAsUmRLhKKwa8bztIE4K0ucCkQcsHBDxFAYM6o03DG6DkRMJPwmYJ+Q8Co58EWCDkcDnz66adYs2YNdu7ciSuvvFJFEaqtrUVTUxNyc3ONToHtSYAESMBnAhQI+YzQVAYoEDLVctAZEohqAhI1U1KHnXrqqXj++echEYMGDBiAww8/HO+9955iI8erqqpQVOTdfRH99QAFQlH9K8fJkwAJkEDkEmifXkw/S4cmGKqqy0JlXY7+UIfPIhCSLE6trTHISKlCbg9JcWCsUCBkjBdbe0IgFjZbDzTWj/akMdtEKAEKhCJ0YTktEiABnwg0V1bil0cfQau2ucgSOQRiLbEYOjdfOzPfFTmTcjOTjVvno8Xq+rtLgZAbUKwKawI5KTl4QosiFBsTG9bzCCfn9RsCRn0PpkDo559/xgUXXKDSizn9/Prrr9VT1bNnz4bdbseHH37oPMRXEiABEggaAQqEgoY6KANRIBQUzByEBEjAAwJWq1WJ4TMyMvDNN9+otGJXX301Lr/8ctxzzz1KIN+nTx+MGDFCHffAZIcm+usBCoQ6IGIFCZAACZBAuBOIjbGrSD9Z6Xs6nYrdHoeq+ixNKJTttk2sloZM0orFWVpUGyUQUinLdrtt31UlBUJd0eExbwnY7eloqJvgbXf2iwACFAhFwCJyCiRAAn4nsP3TT1D89Vd+t0uDoSeQkJ6EgSelaOIv4xE9Q++9Zx5s3Xm2JgB3TYNMgZBn7NgqvAjcNOUP2L/3/uHldBh7q98QMDqVYAmEdu/ejYMPPhilpaWYPn06YmNj8dFHH0EEQvLU9Mknn4yPP/5YCYSmTJlidBpsTwIkQAI+EaBAyCd8putMgZDploQOkUBUE/jjH/+Iv/71r0hOTkZzc7NiIefA48aNU/Vy/MILL1TvvQGlvx6gQMgbiuxDAiRAAiRgagJpyTUqvZikBuuquBMJxcS07k0lllqp0oo1NKeivKoXpD5TSy+WnV7elUm3xygQcouFlT4ScDhSNYHQaC26VaKPltg9XAlQIBSuK0e/SYAEAkVAogYtf/hBWLUUJCyRSSCtbw8UHGnVREKNETnBHaXzUFvNFGMRubiclAuBA/scgBsPvcGljh8CR0C/IWB0pGAJhF544QVccskluOaaa3DnnXfi/vvvxy233KIEQhMmTMDbb7+NuXPn4rbbbsP1119vdBpsTwIkQAI+EaBAyCd8putMgZDploQOkUBUE2hpaVHnt6+//jry8vJwww03YM6cvWmZZ82apc6Hv/vuOwwfPtwrTvrrAQqEvMLITiRAAiRAAmYloIQ8mrgnJ6PMIxfrGtOxpzoPNkecah+vRQzqkVaBDC1akJSa+kyUVeerSEJSn/m/enXQw/9RIOQhKDYzRKAVFthactDU4N1JoaHB2NiUBCgQMuWy0CkSIIEQEqjasB7rXvpnCD3g0MEg0HNcPrLHaaL9VtdIO8EYO9BjlFScicpyLb9xu8IIQu1g8G3EELDEWlSasexk9xF9I2aiJpmIfkPAqFvBEgj96U9/wkMPPYRPP/1URRLSC4Sk/sQTT4S0u+mmm4xOg+1JgARIwCcCFAj5hM90nSkQMt2S0CESIIFOCNTX1yuB0IwZMzpp0X21/nqAAqHumbEFCZAACU28yQAAQABJREFUCZBAEAjExzoQq90Lb7bH+jRaWlItcjLLlKDHE0MOh0VLNdYDVbU9Ic/qdiYQErs9M3erqEKe2G3fhgKh9jT43p8EmGbMnzTDz1YkCoQkIkRL/QbYrWVadIh6xMQmIzauB+JTh6rX8FslekwCJBBMAhtefQUVa9cEc0iOFSICfY/sh5Q+20M0euCGLas+DeWlCS4DUCDkgoMfIojAmWPm4rSRp0TQjMw7Ff2GgFFPgyUQev7553HppZfixhtvxIIFCzpEELr44ovxj3/8A6+88gqOP/54o9NgexIgARLwiQAFQj7hM11nCoRMtyR0iARIIIAE9NcDFAgFEDZNkwAJkAAJeEYgP6UZAzIaUdqQiC01yZ51ctMqRpP4SISfHE3IY6S0TzVmibWpVGJZWrQgKc4IQhkpVcjtUWrEbFtbR6sDDS2N2k99Wx3fkIA/COwVCI3XTLk+ae4P27RhfgKRJBBy2GrRVPEZmmt/0cA73MKPTx6E5JzpsCT2dnuclSRAAtFNwNbQgKUP3q8FlYm8qDLRvbKdz37QyQMQl1LUeYMwPFJZNxslxakunlMg5IKDHyKIQF5qHh477hEtnTevZQK9rPoNAaPjBUsgVFJSgoMOOgh79uzBKaecAqvVqtKKiWBo+fLl+OCDDzBw4EB8++23SE9PNzoNticBEiABnwhQIOQTPtN1pkDIdEtCh0ggagg4HA5s2rQJCQkJ6N+/P+zafazNmzd3O//4+HgMGDCg23buGuivBygQckeJdSRAAiRAAkEjIOKgYVkNSImzY6smDvq10vWGuBFHVPQgLbVYXFyLkW6qrVMkVKNFE8rUUpRlZ5TD2pKIyrocSBoyXwRCMgBFQoaXhB08IOBwpKCxfiTklSX6CESKQMjWuAV1Ja9qEYMaPVjEWKT0PAaJmZM8aBuYJrW1tfjll18wefJkxMZ6FvVOnnReuXIlbrnlFqSmev89568Zff/992pzRXJas5BApBAo+f47FH34QaRMh/PwgECMFn506NwCTSe904PW4dGkpvFY7NzumnKJAqHwWDt66R2BBYf9CRN6yQMPLIEkoN8QMDpWsARC4pecp55//vkoKuooAB06dChefPFFjB492ugU2J4ESIAEfCZAgZDPCE1lgAIhUy0HnSGBqCJQVVWFgoICjBs3TgnfS0tLMWjQoG4ZDBs2DMuWLeu2nbsG+usBCoTcUWIdCZAACZBAUAi0FwfJgFtrk7GuIlWl+vLGARH2SBowb0t9UxoqanKRnFiPHinFKC9pwo6iJjRU1yEupg4pyVakZqYiq1c2evTsgbjEeENDUSRkCBcbe0CgFbGwteSgqWGEB63ZJNIIRIJAyNa0DbXFz0ML+WFoeVJyNJFQj4Pd9tmwYYNKSeD2oFZ5wgknYN68eZ0d7rZeNiwkrcHTTz+NM888s9v20mD+/Pl44403sG3bNuTk5HjUJ1CNfvrpJxx++OGYMGGCyl8dqHFolwSCTWDlk4+jQbupwhJdBOJTEjDo1AxNZLonIiZebz0c27Zqoqd2hQKhdjD4NuIIHNZ/Kq6adEXEzctsE9JvCBj1L5gCIfHNZrPhnXfewdq1ayEbJr1798aYMWNw3HHHeSzQNzpHticBEiCB7ghQINQdofA6ToFQeK0XvSWBSCJQX1+v7imLKOihhx6CCIbOOeecbqfYt29fPPbYY922c9dAfz1AgZA7SqwjARIgARIIOAG9OEgGLK5PxDotglCz3bOIDO2d9CV6kNOOw2FB2e5WFK3drqW62YDmhhY0N9ngsGkRibQ0YTGaW5Y4CxI0YVBCciKy83PQb2R/ZORkOk10+yoiIbvDDqvdinqmHOuWFxt0T8BuT0ND7UTtV9QOm7VB+321amH6Y2FJSNZ+EjUDDNnfPcXwbBHuAiGJGFS97VFNG+RN+sVYpBech7ikwg6L991332HatGlITEyEXPzoy6WXXtqlgEjfXv/5hRdewOOPP64EQqNGjdIfdvvZTAIhSdlw6qmnYsaMGbjpppvc+stKEgg3AvW7irHqqUXh5jb99ROB1Px09D3aoZ0LNfjJYujMNNkOwJbNw1wcoEDIBQc/RBiB5PgkPHPC00i0JETYzMw1Hf2GgFHvgi0QMuof25MACZBAMAhQIBQMysEbgwKh4LHmSCRAAqEnoL8eoEAo9GtCD0iABEgg6gi4EwcJBKsjFluqk7FFSzVmtPgaPchmtaF4805sWqGluqmsR01VOYq2FmHLli2orKxUT7DFxcUhIyND5QUdNGggsrUoEGlZaSgYWogBowchLiHOY7dFKNTY0kiRkMfE2NAdgZbmFpRtqkD5lhbYW5qVSKhVxGzyX6wFMZY4JKT2QHa/cUjN6+/OBOvCmEC4C4Qa93yEpqpvvV4BEQelF1zQob9TIHTZZZdh4cKFHY6HosJMAqFQzJ9jkkCgCWx9/z2U/vhDoIehfRMTyB6Vh9z9KtHaajOxl927ZrWPxKZNE10aUiDkgoMfIpDAtYdcg8l9D4nAmZlnSvoNAaOeBUogtGrVKkh0SxH3FxYWqjS+kjbh+OOPR25urlE32Z4ESIAEAkqAAqGA4g26cQqEgo6cA5IACYSQgP56gAKhEC4GhyYBEiCBaCTQmTjIyWKrJg76VYsiZKSkJtUiJ6MM8XFapB8vSlNdoxY1aCu2rtqM0l27sWrlShXKuq6uDg0NDWhpadE2G1q1qCwxEJGQ3BxLT0/HwIEDsd9++6FXn17oO6wfhkwYiuT0FI89oEjIY1RsqCOghEEbSzVx0G5YG6xormtGbW0NJDKIhKiU39MePXqoVEaJyamIT85AUmYucgYdgDQKhXQ0w/djWAuEtJRiVVvv00RtTT4tQEbfi2FJzHexQYGQCw5+IIGIJ9DqcGDZg/ejRfv+Y4luAgVTC5Hab0dYQ7C1FmDDhsNd5kCBkAsOfohAAgcVTMINk6+LwJmZZ0r6DQGjngVKIPTAAw+oyJ7//Oc/MXv2bNx9992488478d///hcHHXSQUTfZngRIgAQCSoACoYDiDbpxCoSCjpwDkgAJuCGwdOlSvPHGG9ixYwfsdrtLi/j4eIwcORJnnHGGEtO7HDT4QX89QIGQQYBsTgIkQAIk4D2B7sRBYnlrbTLWVaSi1cAwvkQPam5oQtGardi4fAM2b9iEb7/9FkVFRUpkIaKgzoqIhZKTk9GvXz/sv//+GDV6FAq1dGPDDxiBxJSOKW06s8OUY52RYX1nBBqrG7D5241o0CJdVZVXYcWKFVi/fj2am5thtVpVtKvY2FglEpITv+zsbEyYMAEDBg5GYno2MnoPQ/6YIzozz/owIhDOAiFb41bUFj/nM+3k7KOQlDXVxY4RgZD8ey9PLk+cOBF9+vTBxo0b8eWXX6K0tBTjx4/HUUdp9nVpytauXYvNmzdjypQpyMx0TTEpgtKvv/4a8uSz/B0efPDBanOjqwhC8ne7ZMkSyAWhXPjJuEcccYQSpbaf2IcffqgEqlOnTlUXjV988YXyc+bMmRgxYkRbU/FPNlWamprU+IceemjbMXkj9Z9++ikKCgrUvw0uB7UPIo4VhsJFfJPvOPkR0SELCZiRQM3WrVj7/LNmdI0+hYDAwBMHIj59awhG9s+QDqRh3foTXYxRIOSCgx8ikEC8JR5/P+EppMR7/rBNBGII6JT0GwJGBwuUQGjx4sW4/PLL0bNnTxWpedeuXSguLsbw4cORlpbWqZvSZ86cOZ0e5wESIAESCAQBCoQCQTV0NikQCh17jkwCJLCXwE033YSHH364WxyyD/nYY4/5dP6rvx6gQKhb7GxAAiRAAiTgDwKeiINknOL6RKzTIgg122M9GtaX6EHyxPn2dduw+puVWL92vdoU3rZtm4oY5NHgWiPZzJVNZdkEHjdxPAaPH4oRB46EluHJUGE0IUO4orZxQ1U9NnzxK6p3V2PL5i1KVCAp8GRDvzNBm/yOZmVlYcCAATj88MORkZWLHoWj0GfCMVHLMVImHs4Coeaan9FQ9o7PS5GQPl5Ln3eSix0jAqGnn34aV111FZ577jkltrv//vuV+LOxsVHZHDduHF566SX19+McxHnx9tVXXylhkbN+586dECHQDz/8oMQ9cuEldi655BKUlJTgP//5D+Q7JkdLT+ksmzZtwjnnnIPly5cjMTFRCfzkaZEZM2bg73//u/rbdbbt3bu38uP2229XT45IpDCJciflj3/8I26++WZcc801WLRokRISOY/9/ve/x//93/85zUD8HDZsGObOnYtnnnmmrV7efPLJJ7j00kvVxozYt1gsSnx46qmn4vnnn3dpyw8kYBYCTC9mlpUwhx8i4h86ty8QG76RhH7dMM/lvI4CIXP8btGLwBK4/MDLcOSAIwI7SBRb128IGEURKIGQXMeeeeaZ+Oyzz1z+3evOP4k0dOWVV3bXjMdJgARIwK8EKBDyK86QG6NAKORLQAdIIKoJvPzyy7jwwgtVWt1rr70Wo0ePVvdh20ORB8LlodJHH31URReS1LxDhw5t38Tj9/rrAQqEPEbHhiRAAiRAAt4S8FQcJPatjlhsqU7GFi3VmCfFl+hB5TvLsObbVVizbLWK+CBRF2w2myfDurSRTdRBgwbhsMMOw+gJYzDioFHoPaiPSxtPPlAk5Aml6G3ToEUOEnHQnp3lWLtmLUScUFFR4dGNVNksS0hIUL+n06cfjbzeBcgaMBG9xx4ZvUAjYObhLBBqqvwKjRWf+rwK8SnDkNb7TBc73giEJEKORPyRC65Ro0ahuroaCxcuxEMPPaQEoBJxx1ncCYTku+OAAw5QkYXuuOMOnH/++cjIyMCPP/6Iiy++WEWmk4u69gIhSQco0YIkos/jjz+O4447TglUH3nkEYgISC4S//rXvzqHhQiExEcRpcrT1mPGjMG6deuUWEgiGongR8RJImiS8LOrV6/GaaedpqINSXQi5wVkZwIhiTp0wgknKPt/+9vflKBQ/t345Zdf1M95553X5gvfkIBpCGjRHpc99ACstbWmcYmOhJ6AJSkeQ07P0tJYloXeGS882Fh0Nlqa7W09KRBqQ8E3EUxgQv54LJj6pwieYWinpt8QMOpNoARCTj/kfLhW+y6Xc2/5ef3111U6d+dx/WtqaqoSxOvr+ZkESIAEAkmAAqFA0g2+bQqEgs+cI5IACewjIHuJP//8sxLKT5o0ad8BN+/kPu0f/vAH/O53v8O9997rpkX3VfrrAQqEumfGFiRAAiRAAj4Q0IuDah1WlFqr4ND+S4nrGEK8rikNu6uz0WCL63bUGC0RWWZaJXIyjN/8t7XYsGXlZqxYsgw//fiT+iKWm1LeFtlElQ3mGcfMwMCxgzFu6gTEWjyLgtR+TKYca0+D750EmuuasPXHzSjZsAubNm7CBx98gKqqKudhj18lmtCQIUNw4oknIrNnH/Qef7SWcsw71bnHg7JhwAiEs0CouWapFkHobZ/ZJKZPQErebBc7ToGQRL8RAae+iBi0V69eqtoZQSgvL09FEEpPT3dpLgKb999/H++++65K+yUH3QmEJNrPFVdcgRtvvBELFixwsSFRgg488EAViae9QEjaPfDAA7jrrrtw9dVXu/SRlGGSYmHDhg0Q36SIQKimpkZFCJo3b15b+zfffBNnnXWW+vzqq69CUo45yxNPPAF5CkUiI0kkIynuBEIiXpKLUTkmYiJJn8lCAuFAoHb7NqxZ/PdwcJU+BplAcm4a+h2rXS046oI8su/DbS0+G411FAj5TpIWwomAJdaCp2Y9iczEjHByO2x81W8IGHU80AIhpz+S3lZS9koaBRHGs5AACZCAmQhQIGSm1fDdFwqEfGdICyRAAt4TkBS78vPrr792a0TuEcuejmSHeO+997pt766B/nqAAiF3lFhHAiRAAiTgFwKWmFYMzGjEkB57U6CIOGiPvQHVLbUQIUxaQsec8tV1WSiv2bsZ2p0TaUm1yMksQ5ylpbumHY5XlOzB2u9W46evfoRETSgqKurQxmiFRHU48sgjMWnqQRh1yBjk9vVsHu7GYTQhd1Sis87haEX1zkqs+2wNSopL8Nprr2H37t1ew5CTwQkTJuDY42YiLW8gBk6Z67UtdgwtgXAWCNkai1Bb/KzPAJOzpyEpa4qLHadASCLm7Lfffi7H5MODDz6IzMxMVe8UCImIRiL/6Mtbb72l0h7IMWkjxZ1AaNasWfj888+xfft2l7RgTnvTpk2D+NVeICTpy8rKyrB+/XrohUnXXXediiokYsCpU6cqMyIQkjQMW7ZsUReQTttiUyIGyZPU8l7+xp3l66+/VunKRIAkQiQp7gRCX375pYpgJKkaJGUDCwmEC4GiDz9AyfffhYu79DPIBHoM64lek2q0aIvGrxWC7KrLcDt3z0NNVWtbHSMItaHgmwgncNkBl2DawKMifJahmZ5+Q8CoF4ESCEmaBImMKw+wSFTm77//Ht9++62KkCnnviwkQAIkYCYCFAiZaTV894UCId8Z0gIJkIB3BOQBUDnXlXu+cu/Xk5KVlYWBAweqBzs9aa9vo78eoEBIT4ifSYAESIAE/EagT2ozhvaoR3KcA05xUJ2tAXUtdUi0JHYQCNU3pqGiNhdWW4JHPviSXmzbr0X45fNl+PH7H1R0CHlKzdciUYQkxczxJxyPQeOHYORBo30ySZGQT/gipnOjpBZbsg6lW0pUuqIvvvjCo7RinQGQdGO5ubk46aST0G/wcPQZdzQy+47srDnrTUwgnAVC0KLIVW25T4vs0OgT4YzCS2FJcBVjOgVCl112mUoT1tUAToHQk08+ifnz53dounLlSpVi7IILLoCk/pLiTiAkeaIlCs/GjRs72JAKsf3GG2+0CYTk6Wh5SkQiHMmrvkj6MYkSJhGAzj77bHVYLhxFiCrhZ9sXEQ1JRCQRIYmgqX2RaEnyvfTb3/5WCaPkmDuB0KJFi3DNNdeo1GVz5sxpb4LvScDUBJY//CCatZSALCTQGYHeh/RF+qBi7fA+wU1nbc1SX1IxF5Xl+yJnUCBklpWhH4EmMKngQPxh8vWBHiYq7es3BIxCCJRASKJpSlTNf/zjHzj55JOVUP3OO+9UD3EddNBBRt1kexIgARIIKAEKhAKKN+jGKRAKOnIOSAIk8D8Ccs+3oKAAkmZMItd7UrKzs9G/f38sW7bMk+Yd2uivBygQ6oCIFSRAAiRAAv4g0D61mFMc1AI7Glo0gZC1ToWLTo1LRXJ8cttwRqIH+ZJerFWLyLJl5Sb88NF3KqKDRH3wV5GIECeccAKGTBiGiUft77NZphzzGWFYG2ht1aIHlVRjzQcrULKrBC+//LJXqcX0EBITEzF27FjMOuFEpPcajAGHUhCgZxQOn8NbIAQ0VvwXTZVLvEYdlzwA6X3O7dDfG4HQc889B0knpi/yFPNRRx2Fyy+/HPfcc4867E4gJCKfAQMGQJ6CdlckBZikAnNGEKqoqEBhYaG6GDz22GPddVF1ItaZMmVvhCQRCMkY8lR1++IUCElqMUkx1r5ImFpJf9mdQOj2229XOazFx+nTp7c3wfckYFoCdVpKvNXPPGVa/+iYeQgMOH4AEnr4Hi00WDMqrzkNZSX7HpigQChY5DlOqAkkxSXh2dnPID42PtSuRNz4+g0BoxMMlEDo+eefx6WXXqoiYcq5rpwjy0/fvn1domLq/ZVom04Rvf4YP5MACZBAoAhQIBQosqGxS4FQaLhzVBIgAaj9HQqE+JtAAiRAAiQQkQSSLHakJ9iRllyLxKRKiDio2dasogfZHXY155T4lLYoQkajB/mSXsxmbcGm5Rvx9ftLVDjrpUuX+m0Nhg8fDtnsHXvweOw37QDEWvY9/evLIIwm5Au98O3b0tSCXWt2oujnLdi6dat6slJEQ74WiSIkJ6ESFSUlqzeGTrsQ0OpYwotAuAuEWh3NqNn+KBy2WuPgYyzIKLgQlsSOqQe8EQj99a9/xYUXan8HuvLKK6/g/PPPx3333ac2L+SwO4HQ+PHjUVJSgtLSUp2FvR9F5CNPeDgFQlKbn5+vwsl6+uRHIAVCzs2Zhx56CBdddJHbObCSBMxGYNsnH2PXN1+bzS36Y0YC2inO0Dn9EBO33YzedfCpsv5ElOzcl4qZAqEOiFgRwQRunnoTJuZPiOAZhmZqZhUINTQ04OKLL1ZPTjc2eh5ZVFLiSmpcFhIgARIIJgEKhIJJO/BjUSAUeMYcgQRIwD0BZwShvLw8HHnkke4b6WrlodAhQ4YwgpCOCz+SAAmQAAmYkIDIDeIsLbBYbMo7R6sd9lYb4uPLEJ9QgvYCISPRg8SYL+nFrI1aGphlG/Dlu5/jyy+/xJo1a5R//vjfoEGDMGPGDOw/9UAtgtB+iEvw39OPSiRka0S9td4frtJGGBBokPRiX/yKPTvKsWLFCrz33nt+81rSjEnao9y+gzBwyllISMnwm20aCg6BcBcICSV7czFqdz6rpc0zluYxJXcWEjPcR2nzRiAk0YMkipC+nHjiifj000+VmHTixInqsDuBkET6effdd9Xf6OGHH+5ipqioCBMmTICkFWsvEJKUYD/++KNKGTZ06FCXPu4+BFIg5EylNmnSJJXSQUSELCRgdgIrHn8MjWW7ze4m/TMJAUtCHIbMydG+b8z/O1PTNAM7t+1LP0mBkEl+iehGUAgcO+QYXDSxo2g7KINH8CBmFQi1Ry7nygsXLlRROyXVwoEHHtj+sMt7i8Wi3WeyuNTxAwmQAAkEmgAFQoEmHFz7FAgFlzdHIwES2EfAKRDaV+PZu2HDhlEg5BkqtiIBEiABEjAbAREHJSRt1VKMNbUJhIxGD4qJaUWP1EpkZ5R5NT1rk1WLILQBS979AkuWLIFsjPqriIpXBEL7TdkfE7QUY3Hxcf4yrexQJORXnKY3VrenFqveW4Gaymp888036sdfTkve2lNOOQUDh41G3/1PQFpef3+Zpp0gEYgEgZCgsjXtQH3Jv+Cw13VLLkaLHCTioIT0zp8s90YgJAM//fTTOPPMM9t8eOKJJ3DttddCn7rLnUBIvksketzIkSPxn//8R6VFEEOSIkHSi0nqMXkqur1A6IMPPsCpp54KEeW89NJLKqKQc3ARrsrf/G9+8xtnlYo2FKgUYzLIeeedp1KUXX311bjttts0Me9egWtTUxMk0t7kyZPbfOEbEgg1AWtNDZY99ECo3eD4YUYgKTsF/Y+PR6ujxtSe11unYtvWwjYfKRBqQ8E3UUAgN7Unnpj5WBTMNLhTDAeBUHCJcDQSIAESME6AAiHjzMzcgwIhM68OfSOByCZgs9nw+eefG56kpP319v6s/nogpr6+3m2eChmku/LZJjsqG912764rj5MACZAACUQhgThNHJT4P3GQTN8ZQcho9CBJW5ajiYMkOpE3xWFzYNOKjfj2/a/w7bffqh9v7LjrM2rUKBx//PEYuf8oTJx+gJa1yf9RGEQkJGnarA4rowm5W4QIqqstq8XKd5ahtqZWRTD5/vvv/Ta7rKwsnHzyyRg0fAwKJsxARp/hfrNNQ8EhECkCIaHVam9AU+USNNf83Ek0oRgkpA5HUs40WOL3RVVwR9opEHJ3TOr69u2LdevWqcMiCrrqqqtwxRVXqAhC8iTG4MGDsXr1aqxatQryb/prr72G/v33CejcCYTE2DXXXINFixYhIyNDXayJwEZEPmeccQaKi4uVcKi9QKh9n/T0dBx00EHIycnBr7/+qsYWsdKTTz6p/JT/BTKCkNjfvXs35s6dC/l3prCwEPvvvz/sdrv6fNRRR+GZZ56RZiwkYAoCZcuXYfNbb5rCFzoRXgQyB2Ujf3K99l1jNa3jTbb9sWXzvvMyCoRMu1R0LEAE7p+xEAMy9517BWiYqDKr3xAwOnnZJ3A4HBDheCjLjh07lLBeHsySa1lfiszlrrvuwrnnnqvSNbizJXOWa4Kvv/5aif0PPvhgFdnIKaRv3+edd95RH+X6QSJLe1IkmqikKJZzb0lZzEICJGBuAhQImXt9jHpHgZBRYmxPAuYn8N///heSwlYe4E9ISOjgsDzIKfdqly9fDrkHfOihh6KgoKBDO2eF0fbOfmZ81V8PUCBkxlWiTyRAAiQQYQRiYmxaJJ3dSEjcqSIHOacnAqEYez4qanNhtXX8wna207/6kl5M2dK0rVtWbcLST3/CDz/8gA8//FA/hFefRQwkN3Vmn3QSBo0bjPGH701H45WxbjpZ7VbUWmuVUKibpjwcxgScAqGG+gYVgUROcv1VevbsqcQAvfsNRt8DtAhCubwJ7y+2wbITSQIhJzNJNWZr2Ay7tUwTDdUjxpKE2LgsxKcM1t6nOpt1+bpp0ybce++9nbaR6Fl33323Ou4UCEl6MbkwlM/yvZCfn68EO1deeSVSU13HFcHQxx9/DBEKtRcOicFXXnlFCYE2bNiAMWPGqDzS55xzjhL6SBSeBx54oIM9SR3473//W4mS4uLi0K9fPxW1SIRF7TcfJLKP/N3efPPNLnOTzQ0ROY0bNw6/+93vXI7t2rVLRQM64ogj2qIjSRjbP/zhD2p+F1xwgUt7EQQJA0m/uX79eowYMQKHHXYYjj76aEj0IhYSMAuBja+/hj3ahh0LCXhDoNeBBcgctkvrql0UmLC0OIZj48Z9aTQpEDLhItGlgBI4a8xcnDrylICOEW3G9RsCRucfSoGQ9nCzOr9+8cUXVQRoEe3Iubycp3tb5Fz++uuvh5yzSzphEf7oS0tLi4qwKdFBJZ1Za2urEkkdeeSR6pxf/3B1WlqaaiPn3ZJ6uLtSV1cHSTNco0VFlOuFxx9/vLsuPE4CJBBiAhQIhXgB/Dw8BUJ+BkpzJBBiAvLAozzgKGX79u2Q+7/ty1dffaWyKci5pYiHJL1tYmIi5BzzuOOOa99UvTfavoMBk1XorwcoEDLZAtEdEiABEog0AhI1aK8wyKpF02l2mZ4IhOzWQpTX5LnUd/UhVksvlplaoaUXK++qWbfHdm0uxqqvVuCHb75XAiG5KeNrcUaNmHbMNAzbfwT6jx7oq0m3/SkOcoslIivr9tRh9fsr0FTfqG0UbcS//vUvv82zV69eKn1RalY+Bk45U4vOkuk32zQUHAKRKBAKDrl9o7QXCJ122mn7DvAdCZCAeQloG3RL71+IFu2pMBYS8JZAv2MGIKlnkbfdA9rP1tpb27Q+sm0MCoTaUPBNlBAYlTsS/3fE7VEy2+BMU78hYHTUYAuERAQkaRdkw+btt9+GbORIkUg7kqJX0vAOHGjsfosI4cXe3//+d0jkHmEiQvvOBELO9LsLFizAxRdfrMRB99xzDx599FGcpD0UJrbaFxEIiZBIUkbIAwejR49uf7jD+0ceeUQJ/6U9BUId8LCCBExJgAIhUy6L105RIOQ1OnYkAVMSOPbYY5WYXJzTC4QkYpA8/NinTx8sXrxYPeQv52tnnXUWKisr1XnnhAkT2uZltH1bRxO/0V8PUCBk4sWiayRAAiQQ7gTiEyRqUJFL1KD2c3LY89DSNNBQ9CBP0os125tVZB0RIHVWGmsbsH7pOiz78mcVLlpuEPlahg8frtTGIyaO0qIHTUByeufj+zJWk60JNc2+C5p88YF9g0OgsboBG5asQ21pDSSc+vPPPw95ktHXIjcuJY2SpDBK6tELQ4+6ADGxFl/Nsn+QCVAg5DtwCoR8Z0gLJBBsAvVayr5VTy8K9rAcLwIJDDm9P2ITtpluZq2tKfh1w0ltflEg1IaCb6KEQLwlHs/PXowEi+dRhqMEjdfT1G8IGDUULIHQ2rVrlfBGHoyRFL1S5NpVxD033nijEtR4m8a9urpabQrJg1033HADJGWERPd0JxDasmULxo4dizlz5ihBkZOXCJeOOeYYSEpjibYpKYCdRQRCBxxwgIr8e/bZZ3cZEUjmI9FGJfWxpLmgQMhJka8kYG4CFAiZe32MekeBkFFibE8C5iXw5ptvYt68eSrNq0SW1wuELrroIvXg9U8//aQiyDtnItkaTjjhBCU+f/jhh53VMNq+raOJ3+ivBygQMvFi0TUSIAESCFcCllg70pJrVOSgJntlp9OwWvuguXFwp8fdHeguvZiIg+qsdSq0s0UTPCRaEuFOKNTqaMWO9duw4svlWPnLSnz22Wcq97u7MT2py8nJwZQpUzDpkIMwdOIwDN1/uBYxKcaTrobaMHqQIVxh37iluQW71hRj+9KtkBuactK6YsUKn+eVmZmpbmyOGj0WGfmD0X/y6T7bpIHgE6BAyHfmFAj5zpAWSCDYBIq/WoLt//002MNyvAgkEBtvwdAz8rTrhhLTzW7dxnlatIq9KdAoEDLd8tChIBC47fAFGJs3NggjRccQ+g0Bo7MOpECovLxcpez65z//iWXLlinXRMQjmzWnn346ioqKVDrd+++/H5dccolR19vaNzY24uWXX4ZEDU1PT1dpeBcuXOhWIHTHHXdAogVJKuDDDz+8zYa8cV4/3HXXXZAUwM4iAqFp06apqESy+bRu3TqVHth5vP2rpCw+99xzceeddyrREwVC7enwPQmYlwAFQuZdG288o0DIG2rsQwLmI1BVVYX99tsPM2bMUOdhr776qotASNK6SuTJiRMn4qOPPnKZgKSQlYeom5ubIQJxST1mtL2LQRN/0F8PUCBk4sWiayRAAiQQjgREGNQjtRI21KHJXq0i+bibh62lJ5qbBmg3vpPdHXZbFxvjQI+0SmSlu08v5hQH2R32tv6xMbFKIOROJCRpmzYsXY/V363EL7/8gi+//LItdHWbAQ/epKamqpOQyZMnY9DoIRgn0YPS3M9LBD71LXvDYydo4qXULqIcuRua0YPcUYncOjlJrd5VhTUfrFShyrdu3Qo5yZWTVm+LPIE5aNAgFZo9PasXCvabifT8Qd6aY78QEqBAyHf4zhv8zz33nNos8N0iLZAACQSawNrnn0WN9n3IQgL+IJCQmYSBJyaj1VHlD3N+s7Gp6GxYm/de01Ag5DesNBRGBE4beQrOHDM3jDw2t6v6DQGj3gZKICRpui677DJ1rStjHH/88eo6VTZ4EhMTlZvPPvssfve738FXgZB+zrfddhs6EwgdeeSRWL16NXbu3In4+HiXrvJU+rhx43DGGWe4RBcSgdARRxyB3/72typS780334w//vGPLn2dH6ZOnYpdu3bhrbfewoEHHsgIQk4wfCUBkxOgQMjkC2TQPQqEDAJjcxIwKQGJ9vP+++9D0oJdd911au+kfQShTz75BLNnz1bi8Ouvv77DLC644AIVXUgeyhaxkNH2HQyatEJ/PUCBkEkXim6RAAmQQDgSSNfEQdmaeMeGWiWCaS/U0c/Hai3QogcZEyWI+CgnoxxxFvcplhptjahtrtUPBREJuY0mpIkvKndXYd2Pa7Bp1UYVmUVCRUukFk+LPHkm6mMJJT1g2ECMmjwGPfvkAm6CB+mj/zj98lQopO/vqY9sF94EmmqbsOW7jajYtgfy1OPPP/+snnL0dlY9e/bEKaecgj4FBUjt2R8DJs9BbJzrTU9vbbNfcAlQIOQ7b4keJ+KgSy+9FAcddJDvBmmBBEggoATsVit+XngPWrXUHCwk4C8C6f2y0OfwJk0k1OQvkz7bKSqej4Y6h7JDgZDPOGkgDAmM6Dkcdx35f2HouTld1m8IGPUyUAKhRx55RKUOE38KtOvT8847T0UNGjp0aJuLoRAIjRw5UgmD3EXvlWtyuaYWMdC7777b5qcIhCTa0Ntvv43x48erp88lipA8id6+fPXVVyqa7+23345Zs2Zh//33p0CoPSC+JwETE6BAyMSL44VrFAh5AY1dSMBkBORBajl/XLx4sUoNK+/1EYT+8Y9/4OKLL1bCbhF464uIuh988EF8/PHHkAAARtvr7XnyuaWlRWWKyM3NVYEH5GHwzz//XJ0PSxraQBT99QAFQoGgTJskQAIkEGUERLiTmVqlCXdsSrzT0NKg0nx1hsFmy94bPcie2lkTt/VdpRdzFz1Ib8QpyGmfdsxhc2DPrnItktA6bP11CyRCi4S13rhxo0pTprfh/BwbG6u+sCdNmoQBAwagcHA/jJg0CnmFeZrYwuJs1vbalbjH6VdXQqGu+rcNwjcRSUDSS1TtrMC6/66BvcWOmpoafP/99/j2228NzzcrKwszZ85UEYSSMnLQ78CTkJJTYNgOO5iDAAVC5lgHekECJBA8AtWbN+HXf7wQvAE5UtQQyJ3YG1mjdmvz3SvKCfXEd5bNQ00lU4yFeh04fugIxMXG4fnZi5EYtzeKTOg8iYyR9RsCRmcVKIGQ+CHXtpJeTNJuSYoIKRKhR9KLnXrqqSodfLAjCGVnZ2Ps2LH44osvlD/6/0mKeXnC/Icffmg75BQIiWjoiSeewLXXXotFixZh3rx5bW3kjcxLNoDWr1+v0twHQiBk14TUsvEk695VEbFTcrL76NfOfg0NDZD176oEs01TU5MSXck9uc6KbLJJ5OS4uLjOmig+ErFZL+Bq34EcyVH/u0+BUPu/kPB/35VAiP8+8t9Hfs90/jeu/9539/ei/77Wf+7cuudHJKqjCHqOPvpoJeqRnu4EQhKF8pZbbsEbb7yh0pDpR3jggQewYMECdT4qkYaMttfb8+SznPOKOP6YY47B66+/rs4JJePD/Pnz8eSTT3piwnAb/fUABUKGEbIDCZAACZBAewIqqo8WNSgubm9UH0mBJSm0uooe1NqaoIXM76v9eC5MSEuqRXZGGeL/N057HzwRB7Vv7xTkOIVCdpsmuiivxpaVm7B59SZUVVapL+XNmzcrwZBEFJIbA3KDQSIG9evXT90Mys/PR3ZONgoGF2LY/sPRIzcLlnhj4iB3fiVYErTUY67iKaYWa08q+t7bmm3Y9Wsxtv20RUvL50Btba0Keb5kyRKVW7c7IvK727dvXxx11FHo06cPktOzkD/mSPQoHIOYLm6sdWeXx0NLgAKh0PLn6CRAAsEnsPPLL7Dj88+CPzBHjAoChdP6Izl/mynmWlo5FxVlezc/GUHIFEtCJ0JA4JbD/oTxvcaHYOTIG1K/IWB0hoEUCDl9EVGHpIeQtGPyBLcIXKTk5eVh9+7duPfee1WqMWd7X187SzEm19pyr0eunSUakLsi94QyMzOxcuXKtsPtBUL19fUYNmwYCgsLIVGqnWXDhg0qArWkwpAn1X/99deARBCSe1niw+jRo9HZBqek3pDNqeHDh3cqkikpKUFZWZl6wCg11fUelXNOe/bsQXFxsZprjx49nNUur/KQU1FRkeIqT8q7K7K5KA/qifhK7lm4KzabDWvXrkVGRgb69+/vromqk/RwkqJuyJAhnbaR6E5yb0WiRXVWyJEc9b+PFAh19tcSnvWdCYT47yP/feT3TD48/b6W8zcRPctDybL3IEX/fS3ft/LdLOdKAwcO9Ms/GHKeM23aNLVH8s0336jzMjHsTiB04403QqJWfvrppzj44IM7jC+CnN///vd45plnMHfuXBXd0kj7DgY9qBDBlJzjSipbSW0r572S2kzOHSUSZWdFREUiaPKm6K8HKBDyhiL7kAAJkAAJKALuUn51Fz3IiU7EQc1Ng5wfu3z1pzio/UDthULJliQ01jehbPtubFu7FaXbS1BfVw9RRMsXtDxZFBMTo55Akies0tPTkNO7J/qPHIi8/vlIzUhxK7TwJvKP0y+nUMgbG+3nyffhT0CeH7fWNaF49U4Ur9qhfh/lRFJuxMlNRTnJlhtq+iLCILm5KWnw5AaaPAmZkJKBXqMOQ1ahdrMwnk/k6pmF02cKhMJptegrCZCAPwis++c/UKVtHrGQQKAIDD51ACxJRYEy77Hd8ppTUVay9zyNAiGPsbFhhBE4ZcTJmDf2zAibVWimo98QMOpFMARC7X0qLy/HK6+8op7klgjPUiQajKTwOu200yBPd4tAx5fSmUBINrFE6CKRfSQdsbsixyXNvGzkOEt7gZDUyZPq8gS6iJ4OO+ww1ezKK69U6S1++eUX9dBZoARClZWVsGppWXv16uV0r8OriHZkc613794djjkr5H6YiIg6E+xIO9kYlPWSsTqL2CMP3InYSMQW8rvYWZH7G7IpKyw7K2JH7sl1tf4iKBNf5P5HZ0V8lvt8nW2ASj9yJEf97yMFQp39RYVnfWcCIf77yH8f+T1j7Pt6165d6rtbHqx3Fv33tXyWc4DOxMTOfp68yvf3WWedhY8++kidi8m+h7O4Ewj9+c9/xl133YU333wT06dPdzZte124cCHkvPCdd95RYh2j7dsMGXwj6Wbvu+8+JVj2tKuk4V2+fLmnzV3a6a8HKBBywcMPJEACJEACnhKwxNqRlbYHmWmVbV08iR7kbOypQCg2Rrs5k1aBrPQ9zq5tr822ZtS11HUZraitcRdvnIIciSiUoP3XWNuA+up6VJVVomLXHtTXaBGRWmywaKnDUtJTkNUrB1n52ZooKFWLxJKC+MT4DtZF1CORlBytDq/9c/rli40OjrEibAnIyW9zfTPKNpRixy/b4LA71AlkXV0dJMqVCIbkVYRCzmhXcjPDeVEjT9AlpGWjz/ijkZpTCEtC5zfmwhZSlDlOgVCULTinSwLRTkD7Hvz5vnthcyOIjXY0nL//CMRYYjF0rmyWFvvPqBeWqupPwK6de2+wUiDkBUB2iQgCI3uOwJ1H3hERcwn1JPQbAkb9CbZAqL1/IqKRqEIvv/yyekBGjt19990QsY0vpTOBkNiU9GEiUhEhj76IqEae+D7llFPwwgv70p7qBUIidhk1apRKZSFiJxGkSLQeiUz06quvKrOBEgjpfeZnEiAB/xCgQMg/HM1ipTOBkFn8ox8kQALuCTjP4a644gqcccYZLo1uvfVWFSnovffeU6Jjicbz7LPPQtouXrwYc+bMcWkvH2666SY8/PDD+PnnnzFixAgl5jbSvoNBAxUixN6xY4eK2Dhr1iwcf/zxuPnmmzu1IPs7cj7pTdFfD1Ag5A1F9iEBEiCBKCcQg1akp1QjWxPtWCw2RcOIOEg6eCIQknHSUmrUOHGWveGlnej9JQ5y2pNXpyBHhEISUailuQXWJqsWFtGOVu0pMokgZImLQ0JSvCYKSkCstoHgrjDijzsqrPMHAYkkZNN+L2t2VWPX2p2oLq5qMytPOkq0K3k6zxntSsJUSolPTEJ2/+HIKDwQSRm5iNEiC7GEPwEKhMJ/DTkDEiABzwk0aikuVjz+qOcd2JIEvCQQn56EQSelauf/FV5a8L1bTdPR2LltbxoWCoR850kL4UkgMS4R/zjpOXWdHp4zMI/X+g0Bo56FUiDk9FWud7/44gslFpo8eTIuuOAC5yGvXp2bS+7STUyZMgWSgko2bGQjpn0R0ZCMf9VVV0GeMHcWvUBI6i+88EIVCUlSkf3rX//CHXfcgQ8++ABTp05V3SgQctLjKwmEBwEKhMJjnTz1kgIhT0mxHQmYi4CIfiQtqSdFUqXK+aNEoFywYIFKH6bvJ6Ihifgo4m6JgiTvjbTX2/Pms+znbNmyRY3fVQRIb2w7++ivBygQcpLhKwmQAAmQgMcE0pM10U5GOdqLdjxNLeYcxBOBkLsUZs7+jS2NqLXWOj/69TU5XkshlrAvJKIR4xQHGaHFtt4SkJujTbVNaKzWQn7vqETVzko0aynIWh0iIdpbLPEWZORmov/wAcjsmYWYxGxUNg3XZHcskUKAAqFIWUnOgwRIwBMCZcuXYfNbb3rSlG1IwGcCqQWZ6HuUlmbY0TGFq8/GPTDQ0DIFRVv6qZYUCHkAjE0ilsD9MxZiQGb/iJ1fsCam3xAwOq4ZBEJGfe6ufVcCIeex119/Hcccc4yLqXvuuUcJfT7//HMceOCBbcfcCYScYqIbbrhBCYQkrcY333zT1ocCoTYUfEMCYUGAAqGwWCaPnaRAyGNUbEgCpiLw2muvQVIBuisSLUgiAUm0STk3O+eccyApUwcNGqQiO3755Zcu3SQjQ79+/ZT4+z//+Y86JraNtHcxaOIP+usBCoRMvFh0jQRIgATMSECJdtI1cVDcvog+RqMHyby6EwilJdUiJ6PMZRwnj0BED3LalldvBUIUB7WnyPfBICCCIGujFS1NLXBIpKv/qX+0YFd7owhp6e/SM9KRraUWa22NRV1jOnZX5QfDNY4RBAIUCAUBMocgARIwDYEt77yF3UuXmsYfOhL5BHLG5KPnhHLtHMoe9Mk22yZi8+aRalwKhIKOnwOaiMBlB1yCaQOPMpFH4emKfkPA6CyiTSAkT3CPHTtWRfp566234IzMK2nCJLqQCH2+++47F4zuBELS4LjjjsP333+P5uZmPPPMM5g7d25bPwqE2lDwDQmEBQEKhMJimTx2kgIhj1GxIQmEDYHzzjtPpXLdvn07srOz2/y+6KKL8NJLL+HNN9/EtGnT2uoffPBBldJLjp144olt9Ubbt3X08U1JSQkWLVoEETJJ9CPJEtG/f3+Veuzss89GcnKy1yPorwcoEPIaJTuSAAmQQPQR8Jc4SMhZrX00YcMgLZqJpmTQFREHZWvioPh2IiRnk0CLg2QcbwRCFAc5V4ivZiMQZ4lHdlKWcqvFloCSCu1vz+YaJt1sPtMfzwhQIOQZJ7YiARKIDAIrnngMjbt3R8ZkOIuwIVBweD+k9t0edH+tjqHYtHFvZAoKhIKOnwOaiMCMQdNx8f6/NZFH4emKfkPA6CyiTSAkfK677jo8/vjjmD59OubPn4/6+nq1YSMpLf7973+3pQlzsuxMIORMU9G7d2+sXbu2TWwk/SgQctLjKwmEBwEKhMJjnTz1kgIhT0mxHQmED4HOBEIbNmxQ53Qi2P7973+vhOBLlizBI488gpkzZ6oUtnFxcW0TNdq+raMPb5YtW4bZs2djz549bq1IarX33ntPCdXdNuimUn89QIFQN8B4mARIgARIYC8Bd+IgOWI0tZiTZ4s1H81NA7Uncvd98cqxUIuDxAdvBEKOVodiITxYSMBMBNoLhFpbY1DflIbSyj5mcpG+eEmAAiEvwbEbCZBA2BGwa2Gff154j3beyESZYbd4EeDwoJMGIC61KKgzsbf2wvoNe59spEAoqOg5mMkIDMoaiIXT7zGZV+Hnjn5DwOgMolEgJIwWLFiAp556CrW1e9PbDxs2DI899hgOOeSQDgg7EwjJucvEiRMhT31fe+21Lv0oEHLBwQ8kYHoCFAiZfokMOUiBkCFcbEwCYUGgM4GQOC/nXeeeey5WrVql5iLnbqeffjoeeughLYuJ6x6lN+2VUR/+N3nyZEh62ksuuQSXXXYZCgsLYbPZlN9yTirpbS+//HJIultviv56gAIhbyiyDwmQAAlEGYGYmFZkpe1BVrqretWb1GJOdK2tCVqasb4q1ZizLi6+DCnJ27UvZKuzComWJKTEJyMYkYOcg3ojEJK+FAk5CfLVTATaC4TEL0k1VqulGitjqjEzLZNXvlAg5BU2diIBEghDAjVaqo+1LzwXhp7T5UggEBMbg6FzC7T8rTuDNp1WJOHX9aeo8SgQChp2DmRCAnGxFrxw0nNIsCSY0LvwcUm/IWDU80gUCHnKwG63Y/Xq1ZAIQLm5uZ52YzsSIIEIJECBUGQtKgVCkbWenA0JeEpAUsYWFxdj9OjRsFgs3XYz2r5bg24ayBiSSkxE6J988kmHFhLJsm/fvhg0aBB+/vnnDsc9qdBfD1Ag5Ak1tiEBEiCBKCeQnlytpfzagzhLiwsJb6MHOY1Ymwu0KEKD1EcRByUmbUVsbJPzsHqNjY2FJcaixDd2h93lWKA+xMbEaqKkFPVjdAwRTdU01xjtxvYkEDACeoGQDGRtSUTxnkLYHd2fBAfMMRr2mQAFQj4jpAESIIEwIVDy/Xco+vCDMPGWbkYigfiUBAw6NQOtDtcHJgI513Wb5sFhbwUFQoGkTNvhQODuo+7CsJyh4eCqaX3UbwgYdTSaBUJGWbE9CZBA5BKgQCiy1pYCochaT86GBMKZgKSwlRRic+bMweLFi91OZfDgwap+06ZNbo93V6m/HqBAqDtiPE4CJEACUU4gPbkG2enlWlQfV3GQL9GDnEidAqHOxEHOdqF4ZRShUFDnmIEgEBMTg6S4JKQnpLeZlyhCdY1p2F3Vu62Ob8KPAAVC4bdm9JgESMA7AlveeQu7ly71rjN7kYCfCKT0SkfhjFZNJFTvJ4tdm9m07WxYm+wUCHWNiUejgMBvJl6A44YcGwUzDdwU9RsCRkcKhUCopaUF27dvx86dO1WKLkkDIUVSdsk1LgsJkAAJBJsABULBJh7Y8SgQCixfWicBEvCcgJz35ufnQ865v/jiCxUpqH3vd955B2eccQaOPPJIyHtviv56gAIhbyiyDwmQAAlECYFAioMEoQiErM2FSEjcoX7MhNVbgZDMganGzLSS9EUIuIsiZLPHo7w6D/VNe2+0klT4EaBAKPzWjB6TAAl4R2D1359G3Y4d3nVmLxLwI4HsEbnIPaBK26C2+dGqe1Pbds1Hfa2DAiH3eFgbRQRmDD4aF+93URTN2P9T1W8IGB0hmAKhmpoa3HPPPXjqqacg6RSkfP3115gwYYKqr62txZ133ml0CmxPAiRAAj4ToEDIZ4SmMkCBkKmWg86QQNQTuP3223HvvfciNTUVxx57rEopJqlu16xZg88//1yJ5N966y0cddRRXrHSXw9QIOQVRnYiARIggcgn0Jk4SGbua2oxJz0RCDnsaUhM3qI9AWZ1Vpvi1ReBkEyAqcZMsYx04n8E3AmEWltj0NicgpKKAmjPYJJVGBKgQCgMF40ukwAJeEXgp3vuhr252au+7EQC/ibQ59BCpA0IvGBtZ9k81FQyxZi/14/2wo/AqNyR+L8jbg8/x03ksX5DwKhrwRIIydPTs2fPVk9Oy+ZITk4Otm3bpgRCo0aNUpGEJKrQ8uXLOzxZbXRObE8CJEACRglQIGSUmLnbUyBk7vWhdyQQbQQcDgf+8pe/4KGHHmoTyTsZFBYWKqG8nCd7W/TXAxQIeUuS/UiABEggggnExtiRlV6BHmkVHWbpj9RiTqOtrQma8jUWsbFNzirTvPoqEGIUIdMsJR3RCLgTCAmYvanG0rVUY/nkFIYEKBAKw0WjyyRAAoYJNFdXYfnDDxnuxw4kEEgCA08YiPiMrYEcAqWVZ6CizMIIQgGlTOPhQCAjMQOLT3w6HFw1rY/6DQGjjgZLIORMn3DYYYfhxRdfxOLFi3HLLbe0RRB69tln8bvf/Q4LFy7EZZddZnQabE8CJEACPhGgQMgnfKbrTIGQ6ZaEDpEACWgEGhoasHTpUuzevRsWiwX9+/fH2LFj1XtfAOmvBygQ8oUm+5IACZBAhBLISKnWBELlmqjANXS+P8VBZkfnq0BI5keRkNlXOXr860wgJARabPHaBlQfNLckRQ+QCJkpBUIRspCcBgmQQJcEqjasx7qX/tllGx4kgWATiImJwZAzChFj2R6woffUnoLdu5IoEAoYYRoOJwIiEBKhEIt3BPQbAkatBEsgdOutt+K+++7DBx98gKlTp+L+++93EQgtWbJEpVy4/vrrcdtttxmdBtuTAAmQgE8EKBDyCZ/pOlMgZLoloUMkQAIBJKC/HqBAKICwaZoESIAEwpGASi2WIeKglg7u+yu1WAfDJqzwh0BIpsVUYyZc3Ch0STaxEi1J2k319A6zl1RjDU2pKKks6HDM0wpJUNbqaWO28xsBCoT8hpKGSIAETExg19dfYdunn5jYQ7oWrQQsSfEYcnoWWh1lAUFQ1TALu3ZkUCAUELo0Gm4E7jjiNozOHRVubpvGX/2GgFHHgiUQevjhh3HTTTepyEFz5szpIBCSlAt/+tOfsGjRIsybN8/oNNieBEiABHwiQIGQT/hM15kCIdMtCYfWtVwAAEAASURBVB0iARIIIAH99QAFQgGETdMkQAIkYDYC6cnVyEitRm1DBmoaerh1LyttD7I1gZC+RFP0IJm7vwRCjCKk/03i51ARiIuNQ3ZyttvhrS2J2LmnEA6Hxe1xVpqTAAVC5lwXekUCJOBfApv+8zrKV6zwr1FaIwE/EUjqmYr+x1k0kVCtnyzuM1PbNB07tuVRILQPCd9FMYHf7vcbHDN4RhQT8G3q+g0Bo9aCJRD65ZdfcOihhyInJ0elEVuzZo16ff/997F582ZI5CC73a7SLgwYMMDoNNieBEiABHwiQIGQT/hM15kCIdMtCR0iARIIIAH99QAFQgGETdMkQAIkYCYCIg7KztijIgNV1majojbXrXudCYSiKXqQgPGXQEhsMYqQUGAJNYEuBUK2BOzSBEI2e1yo3eT4BghQIGQAFpuSAAmELYFVi55EfcmusPWfjkc+gR5De6LXQTVobe0YgdWX2Te0HIqiLf0pEPIFIvtGDIGZQ4/DhRPOj5j5BHsi+g0Bo+MHSyAkfj344IO4+eab3bookXEfffRRnHvuuW6Ps5IESIAEAkmAAqFA0g2+bQqEgs+cI5IACYSOgP56gAKh0K0FRyYBEiCBoBCIjXFAxEE90ivb0oZ1JRBKjG9CVvoepCbVtfkXbdGDZOL+FAgxilDbrxLfhJBAVwKhFk0gVLynryYQig+hhxzaKAEKhIwSY3sSIIFwJPDTvX+BvakpHF2nz1FEIP+gvsgYUqzN2H9JV5vsE7Bl0ygKhKLo94hT7ZzAuF5jcethCzpvwCNdEtBvCHTZ2M3BYAqEZPilS5cqIdDatWtRWlqK3r17Y8yYMbjyyisxahRTzblZIlaRAAkEgQAFQkGAHMQhKBAKImwORQIkEHIC+usBCoRCviR0gARIgAQCRyA+vhTxiSVIT4xDmvbjLF0JhGK0m9oiEJKfJmsy6pqSYEc5Yix7nN2j4tWfAiEBRpFQVPzamHqS3QmEdlUUQIRCLOFDINIEQq2tragorUfl7no01FnRYrUjLi4WiSnxyMpNRU5+GuLiY8NngegpCZCAzwREGCQCIRYSCAcCA2YORELWVr+52uIYjI0bD6JAyG9EaSicCeSl5uHxmX8L5ymE1Hf9hoBRZ4ItEDLqH9uTAAmQQDAIUCAUDMrBG4MCoeCx5kgkQALdE9i5cycKCgq6b+hlC/31AAVCXoJkNxIgARIwN4FWxCeUIiFxO2Jjm2CJtSA2xtLmclNjHzQ0FrZ91r+RNGMJ8c2o0lKRwVKhiYy2ISbGvyHz9WOa7bO/BUIyP6YaM9sqR5c/Eo49KS4J6QnpHSYuwqCSij6w2hI7HGOFeQlEkkCoQhMFbV1bhqaGzr9r4uIt6Ds4G30G9jDvokSgZy0tLYiPZ3SxCFzasJhSQ2kJVj75RFj4SidJQAgMmdMfsfHb/ALDjlysX380BUJ+oUkj4U4gTrun8dIpL2r3NSgW92Yt9RsCRm2YRSAk0YSWLVuGESNGYMCAAUanwfYkQAIk4BMBCoR8wme6zhQImW5J6BAJRDWBiRMnYsKECXjmmWe0PV3/X/PorwcoEIrqXzdOngRIIBIJOKMGxcQ2azfPmt1O0dpciOamAW6PSWWcpQUx2qvNHqeJg7YjManIpW1LS64WPV87lrDLpT5SPiTEJSI9Pk0Jq/w5J0YR8idN2vKGQGdRhFps8Sit7IPmliRvzLJPiAhEikBo+4YKbN/oeZS67F5pGDY+H7EW+aZicRJwOBx44IEHVNqFmTNnOqu9fv3+++9x3XXX4ZdffkFycjLkSZa4uH3RCL02HKKOL7zwAqxWKy688MIQecBhvSFQuW4d1v/rJW+6sg8JhISARROzDjkjF62tpX4YPx5r159OgZAfSNJEZBBYNOtx5CTnRMZkgjwL/YaA0eHNIhB6/fXXcfbZZ+Mvf/kLrrjiCqPTYHsSIAES8IkABUI+4TNdZwqETLckdIgEopbA9u3blQD+0EMPxUcffRQQDvrrAQqEAoKZRkmABEggNAREHJSQtE1FDerKA0drIqxNhVr6lt5dNdPsNGjioG1aSpcy2GxZWvt87WZ3PFodCVpduXZsa5f9w/FgoiYOSguAOMjJgiIhJ4nweG3V3LTWN6Ni+x7UllTD2mjV/gakFojRlNyJqYnI7N0DPfpma3975o+w0ZVAaHdVb5VWUE2O/wsLApEgENq1tQpbtMhBRkvP3ukYNiHfbbcff/wRxx9/PC666CLcddddbttEYuWKFStwyCGHqHC069ev92mKRUVFOOCAA2CxWHDWWWcpWwsXLlSffTIcos5NWpqqXr16wW63Y8eOHejRg1GoQrQUhoct/eF7bP3gfcP92IEEQkkgqUcy+p+QqF0zVfvsxvpN8xGjaTPv2fNHn23RAAmEO4G7jvo/jMgZHu7TCIn/+g0Bo04ESiD05ptv4sUXX/TYnbVr12Lz5s3429/+hvPPP9/jfmxIAiRAAv4gQIGQPyiaxwYFQuZZC3pCAtFOYNOmTRg3bpw6v5Xz3EAU/fUABUKBoEybJEACJBBkApL+S1KKxScUa6Ie91GD9C6JSKjVkaSJfnI7FQqJXUlRhhiH1jYeDq09IOHtHFr6sh0dIgvpxwinzyIMSolLUSHLJSVbIAtTjQWSrn9siwSoqaYRu1bvRG1ZDawNVtiaWrS/lRYVgULSdSUkaEK5hHjEa8KgxDQt6lReBnqP6qOJhswbhaczgZDNHo+yqnw0NKf4ByCtBIVAuAuEGuqs+OWrbW2iO6PQhozrhbyCjA7dvvvuO0ybNg2XXXYZRNQSruW1117Dt99+i/vvv9+jKUgEobvvvhtjx47FiSee6FGfzhotWLBARSN69tlncfrpp3fWzC/1FRUVWLRoEQYOHIgzzjjDJ5uff/45nn/+eTz11FMdxEwSolfSpV1yySU+jcHOwSWw7eOPsOvbb4I7KEcjAT8QyBiYjd6HNmjfcZ5dm3U25ObtZ8PuaKVAqDNArI8qAtccfBWmFB4aVXP212T1GwJG7QZKICTRL+W800gZP3483nvvPQq+jUBjWxIgAb8QoEDILxhNY4QCIdMsBR0hgagnIA+kT5kyBfKA4w8//NDhnqY/AOmvBygQ8gdV2iABEiCBEBLYKwzapYRBMTFWw550LRTaGylFUwi52I2JsWkCoe1KJORyIEw/BDpqkB4LowjpiZjrs63Fjopt5ShetQON1Q3Ys3sPVq5cCQn1KOlpZBNeBEKSC1ZOrPr374/Ro0cjOzcHabnpyBvaC7mD8sw1qf9506VAqDoPDU1ppvSbTrknEO4CoV+X7kJFaZ37yXlQm5AUh/2PGKD+Hts3jxSB0LBhw5CYmKj+/Wk/v2C8nzt3Lt5++21s2bIFeXmB/fdMRD0S8emWW27BH/7wB5+mN2vWLHz22Weorq4O63RoPkGIsM4bXn0FFWvXRNisOJ1oIZC3fx/0GCGpxhxeT3lbyXw0axojRhDyGiE7RhCB+ePOwsnDT4qgGQVvKvoNAaMjB0ogVFZWhpKSEo/dkSiQffv27XD+77EBNiQBEiABHwhQIOQDPBN2pUDIhItCl0ggSgnU19fj0ksvxb///W/MnDlT7TW5Q9GzZ09cfvnl7g51W6e/HqBAqFtkbEACJEACZiXgUFGDJJKPivLjo5tdC4VcjcdoUYoSE7dp43t+I8fVgjk+BTNqkH7GFAnpiZjjc4sWJWj3xlLsWrMT5cVlWLp0KSRVj2w2NzTIU+BO0dxefyX9jtwszcnJwdChQ3HQwQcjvWc6eg3LR5/Rfc0xqXZeiLApKS4J6Qnp7WoBmz0Oe2ryUNfoWu/SiB9MRyCcBUK2Fgd+/HRzh78po5BHHViAHj1dI19RIGSUYsf2s2fPxieffBIUoQ0FQh35s2YfgdVPL0JdcfG+Cr4jgTAj0G/GACTlFnntdXH5Waivj6VAyGuC7BhJBI4ZPAO/3e83kTSloM1FvyFgdOBACYSM+sH2JEACJBBKAhQIhZK+/8emQMj/TGmRBEjAOwKlpaUYNGhQt53lYdJly5Z1285dA/31AAVC7iixjgRIgARMTmBv1KASiFAnNsa3sPX6qYpQyNpU2GnaMWkfG1uvpRfbjrj4Mn33sPkc7KhB7sAw1Zg7KqGrs7XYUL65DNuXbsXOop3473//q6IGiYK7uyLRhOSmqYiEjjzqSOT17YU+Y/oif3jv7roG/bi7KEIiEKqoyUVtY8d0TUF3kAN6TCCcBUISOUgiCPlaCgZlof/wni5mOhMIvfjii+oi6tZbb8XOnTvx8ssvqxRe8iSypOSaN2+eix35sGvXLpX+6qefftI2aOtV+q7DDjvs/9l7D/i4qmt9+52u3mXJklXde+8Y23QChOBQQgkQEiDhhgshXyCAIbSQhE4IBJIANwk3uRD/SQMCmGqwce+9SlZvVtf0mW+vLUaMRiNpzjRNWZufmJlzdln72dJ4zuz3vAvf/OY3+9Wl1FWUJovGpr4nTZok02UtX768Xz3Xi1oheKD0Xfv27ZNjTJs2DUuWLAE591Cu6YqKCpkqi0SIrrgWLFiAyy+/3NXFgEeyoV29ejWmTJmCG264oe/8888/L/ujdGs0jzfffFPa1ebn58vxyHXHVehOFUpr9tZbb8n3v5tvvlm6pVFsq1atclWT7V9//XXs2rULWVlZmD9/vryDJTExsa8OPeno6MArr7yCdevWoaWlRXKZPXu2TPNFryklWnV1tXQroj7mzZsn21N6ONeFMZ2nPvbu3StZFRYW4rzzzsN1113Xd/f4G2+8IWMi1yOqf9NNN0k7XnJ4u/XWW2WfjzzyiJzLPffcI1+7/4/W4a9//SsOHDiA1tZWGeeKFSu88n7uuefkGL/61a/kmH//+9/lY0FBAa688kp5p4973/w8MALbn3wcVh/+HQ5sFG7NBEJLYNylpVAb/BMJNbZegfYOHQuEQrtE3HuUEJg7eg7uOe2nURJtZIXpuSGgNLqREAjZ7Xb5uYxipRtd6DMnPXJhAkyACYwUgXgSCGnVNpQknkC6oRVt5iycNJbC5tCOFPqQjMsCoZBg5U6ZABPwgwB9p/vPf/5z2JZpaWk4//zzh63nrYLn9QALhLxR4mNMgAkwgYgl4PzSNagqKK5B3qZptY4SAqESkUYpwdtpeYycgwwJFeLLGeugdSL5RCSIg4gPuwhFzm8JGQN1NrTj8LqDqDlRjffff1+m1rHZbIqC1Ov1mDx5Ms47/zzkFo9C2cKxSM2NLNGNN4GQnQRCnTno6ElXNF+uPLIEolkgVFfZhhP7AxeZ5oxOxYRZ+f0WYjCB0He+8x2QkGTNmjUg4cu4ceOQmpoqRT1dXV248847QeIhV6HUgueee65I7WLGsmXLpNhly5YtIDEPiWhchQRBJAzZtm0b5syZg7y8PCnEaW5uxkMPPYQ77rjDVVU+Ugy33367FBxRX5Qm4eDBg3ID5OTJk1J8ROOQUIVKZmamfLziiitAIp/BSmdnJ0j0Q+m6aAxXOeecc2S8dKFJYqOZM2dK8QxxogvQZ599Ft/7Xu/d+Pfeey/+/Oc/y7mS6Mm1EUNinIcfflh2+dRTT+GBBx6Q50jQ09jYKOdOwqR33nkHubm5sh7d/XL22WfL91LKo01CSuJGTmw0NxJBkdiKUjdS7LTx5BIY/e1vf8PChQtx/PhxkKCIhFL03kosSGxEG0bf/e538etf/1qORWtHgi8SJLnHPXfuXJCAh8rEiROh0+mk0Ege+PJ/jz32GB599FHQ+/esWbNkHDt37gSlvCAh0p/+9CckJyf3NTnjjDOk0IwYX3vttbINbVYRT/pdIYEX/a5xCZyA1ebA9x9bi0yDChl6J9I0NqTCglSnCUm2biSbO5Bg7oT4pQp8MO6BCYSQgFqrxvgr8uGEcmFsS+cqnDqVxAKhEK4Pdx09BEozSvHk2Y9FT8ARFKnnhoDS0MIpEKLPxfTZ7vPPP5efrVyxpqSkgITtJDAPdQpc15j8yASYABNwJxAPAqExSSexqvB15Bga4S7JpCuuJnMe3qz+FmqMkeeY7r5Ovj5ngZCvpLgeE2ACsUDA83qABUKxsKo8BybABOKCQK9rUINwDTIF3TXIBdAXcRDVpbRmhoQTrmZR96hWCbcXXZL8Geng2UVopFegd3xjhxEnt1Xg+M6jcgObXDaUioNcM6ENbtrQPvf8c5FdkosJKya5TkXEozeBkNOpgtGchLpTsXGRHxGgwxBENAuEao63ovJQc8CUskalYNLc/k5dwwmEaEOB3ITIFYfKsWPHQE4/RqNRCnVcApdLL71UigVJrEPiEiokbNm9e7esLw+I/7nScZEDDTkRUSHBC+WMJpERpSp0ueFQWxLLlJWV4bXXXpOORLKB+B9tgtA5VyHbWIPBIPtwHRvqcSiB0Pr162UMJKKZOnWq7IYsaVeuXAlyUDp06JAcy9W/a06UXlGr/eouwY8//lhuzJDwhxi6hDOvvvqqdBCifNlPPPGE7IbcjJ5++mkp3LnooovkMUrVSPMk0ZKrDJVi7MiRIyAHJBJuuYRSJMg688wzpVMT8S0tLXV1JWOjGD3jpgreBEJvv/22dAki7iQEInEXFRL6/OhHP8If//hH/PjHP5ZCL3lC/I8EQps3b5Y8yUWJhEtU6N8NiotSTtLGFgmOuARGoKXDhAt++vaQnWjVKmSm6JGVrENGghASGYB0jR1pKgtSnGak2IWQyNKJBFMH1A5lot8hB+aTTEAhAX1aIsouToDT0aaoZVvPBUKwmMkCIUXUuHKsEshOysbvLvhtrE4vpPPy3BBQOli4BEIk0CaROAnN6TN5UVGRDJUE5pWVlUIweUqK9T/99FPQnLgwASbABMJJINYFQueP/heWZH82LNLPmlfi/fqvDVsv0iuwQCjSV4jjYwJMIJgEPK8HWCAUTLrcFxNgAkwgRARIHKRPqAyZMIjC9lUcRHWjXSBEc4gUkVCvi5ARPdbh01hR3FyCT4C+bGyracWBD/fh2OGjoBQ7tIntbyEnCfoyk5wnpsyeivIl45ExOsPf7oLezptAiAaxWA2oaioN+njcYegIRLNAqKmmA0d2NwQMJ68oHWOnjerXz3ACIXL1IdGHe7n77rulGw257Jx11lny1PTp06U7DqUZI/cbb+XDDz+UoiASzPzjH//oV4VSjpHIxF1gQn1v2rRJimTIyWeoEmyB0MsvvyxTirmPSQ449J5H4haX0IXODyYQojRn+/fvlwIZcgxyFXLtoQ0ccgOijR1y/LnsssukoxCl7SouLnZVHfA4lEBoQOUvD1DaMEo7Rk5DJMRyFbqrXIlAiOZA8ZLQiNyX3AvNacaMGXKDikRkLoESCYRoDSlFHM3RvVx11VXSEpgciCjlJJfACByv68BVD68NrJMvW9Pdr+nJvUKizCS1cCQSr7UOpKmtwpXIjGR7D5KtXUgSrkRaqykoY3InTMCTQEpRBgpXmIVIyPffsS7zmairH80CIU+Y/DouCeg1evx11WtxOfdAJ+25IaC0v3AJhF588UX52ZnS7tJzcn90FfqcSS6N9Jnb2+cwVz1+ZAJMgAmEikAsC4TOzn8Hp+d87DO6jxvPxkeNX93443PDCKrIAqEIWgwOhQkwAUmAbv78/e9/L7/bJHE83XD585//XH7f+tJLL4G+D/W3eF4PsEDIX5LcjgkwASYQBgKUwks6BxlqI0YcRNOOBYEQzYNFQkSBi6XHgpq9VTjw+T589tlnMlVOoFToi0zabL/08kuRXZ6L8af1uo8E2m8w2pOAKUGbgFR9ar/uWCDUD0dUvIhmgVBPlwU7P6sMmDOJg0gk5F6GEwiRmw6lknIv5BRzyy239EsPRWm3yBWIUntRKgOXu4x7uwcffBCUouq5556Tacjcz5HTDaX7+sY3viHddrq7u2Uf5Nrz73//272q1+fBFghRSi+XO5JrQEqtRRealIbL3dXHm0CIXHkKCgowf/58ebHq6sP1SKnUPvroIykgKikpwZNPPon7779fphEjPpTSzVvxVSBUVVWFo0ePSscncv6hVJDU7w033NDXrRKBUH19PcaOHStTupF7kLdCKdeeeeYZfPDBB1i8eLGs4hIIVVdX94mGXG1JfParX/1Kri/V4xIYgZ1Hm/H9pz4NrBM/WicbtMhK0SEzSSsdiWR6MzWlNxOORA4jkkV6MxISJVi6Zco8P4bgJnFMIGfmaGRNaxQEHD5RMFoXo7p2LAuEfKLFleKBwF8u+TMoZTgXZQQ8NwSUtYZMwepwOGR6WqVtldS/66675Odx989e7u3Xrl0rP1v/9Kc/xX333ed+ip8zASbABEJOIFYFQjn6Jvz3hMf6pRQbDialHHv68N1otWQNVzViz7NAKGKXhgNjAnFJ4MSJE9LpnW5kdJXvfve78oZWclYnx3ZycL/88stdpxU9el4PsEBIET6uzASYABMIH4HelGLkWmCGSqRJCFVR4hzkiiFWBEI0n0Rd4gChhGue4XzkVGPhpN1/rK7mThxZdwiHdh/EG2+8ga6urv4V/Hw1ZswYXHnllcgvH42p588Uf8vkXxAZxdNFyG7X4lRnNjp6IsfpKDJIRXYU0SwQIrLbP62AqcfqN2QSu81bWQadQdOvj+EEQiQyGT26f1oyuhP56quvlhdblCaLSktLC6655hqsW7dO3r18ySWX4Pbbb4e78w+18XQO6heMeEGCGhLBUEovSmX1X//1X1JU5FnP83UwBUIbNmzw+t5G6bvuvPNOKYRypUejOLwJhCitFombhiu0cUPp2+gubxJdkciK1orSb912220yRZd7H0MJhKiPxx9/XKb/IkEOFUrdlZaWhubmZnmRTBfLrqJEIETrev755+MnP/kJHnjgAVcX/R7p7hwSPpEbFK01FRL+UNq4tra2fnXpxbPPPot77rlngLPRgIp8wCcCn+6qxV0vfeFT3ZGopNeqhZBIj8xkLTIT1EjXOYQr0ZfpzYRDDAmJZHozcydUDvtIhMhjRiiBMWeUIGn0SZ+iM9tn4GT1DBYI+USLK8UDgRcveAG5STnxMNWgztFzQ0Bp5+FyEHKlrR1s84PuqKbP43/4wx/ktbbSeXB9JsAEmEAgBGJVIHRj+W9QnKT8Bq4T3eV45UTv9yeBcB2ptiwQGinyPC4TYALeCCxfvlw6vH/7298G/dCNnC6BEDmb0/fRy5Ytw3/+8x9vzYc95nk9wAKhYZFxBSbABJhAuAk4hGtQvXDpqRGCAt/t5/2J0h9xEI2j1bbKlGcaTac/w0ZUG3YRiqjlGJFg2uvbsO8/u3H0yFHp8kEpx4JRcnJy5Obz9PkzMOmsaUhIiZw7XT0FQuQeVNNcBIezv9AiGBy4j9ARiHaBUGN1B47u8T/NmLf0YkR7OIEQXVR5ppPyJhByrRylEfvtb3+L9957TwpdHn74YSl0ofOuFF1PP/30AHceV3tKTbVixQqQcxFd3I2EQOiLL74A2dR6FiUCoW3btkk3IEqTdv3113t21ff69NNPR3Z2dt9rEkbROG+++SbMZrNMDfGb3/ym7/xQAiGXixNxIycncvGhVGZr1qyR/fz617+WF8uuzpQIhD799FOZnozSwD3yyCOuLvo9Upx0J/v//u//yrvV6SQJhGhOra2t/erSCxYIDUAS0IF/b6jAz1/bFlAfkdBYLQRymS4hUaIrvRkJiSi9mQkpdiOSLJ1INLVDY/dfNBkJc+UYfCcwdlUpNInDb8RYHeWoqFrCAiHf0XLNGCfw+Nm/QnlGWYzPMvjT89wQUDpCuARCp06dwrx586Q4n8RAtBFCQnMqJN4/99xzpXsfCb2Tk5P7pkHzIxE5FybABJhAKAnEqkDogak/hUal/IYGm1OLB/f9IpTIQ9o3C4RCipc7ZwJMQAGBjo4O6dpON1ySYzp950g3n7sEQtTVtGnTQO705DTkT/G8HmCBkD8UuQ0TYAJMIEQESBhEzkEq4RqkVplDNEpvt/6Kg6g1pT7TG6qkiCmkQYapcxYJhQl0hA7TVtuGXW9tw6GDh+Smc7DCTE1NlW4hy89ZgXEixVhaXlqwug64H28Coaqm0oD75Q7CSyDaBUKkxdu3uRodp4yKwelFCqCZS4sHuAdRR8EWCLmC2717N8hFqLGxUabRIqGKy+L1rbfeGtZdhxxvKPUWCUzCnWIsGAIh18UpCYT++c9/urD4/EgOQJdddhmI47/+9S/pKESNBxMI0QYRMaaf/fv3C9G0um8sSi1GqSUCEQi5Uox97Wtfk44/fZ27PSHxELkHbd26VaaNpFMsEHIDFOKnr609jN/8fU+IR4mc7mn7MyVRh2xKb5aokenNyJUorS+9WQ+Srb3pzXSWnsgJnCPxi4BKo8b4K4Sbnap2yPYOZzaOnTyfBUJDUuKT8UTg/tNXY2bejHiaclDm6rkhoLTTcAmEKK3vYMLtoWImsf5NN900VBU+xwSYABMImEAsCoT0agvum3Kv32x+tvcXInGu1u/2I9mQBUIjSZ/HZgJMwJ1AZWUlpkyZIm+OfOWVVwYIhOiGdhIMjRo1St606N7W1+ee1wMsEPKVHNdjAkyACYSYgHQNSjgZcmEQTSMQcZALAwmEDAkVrpdR/8ipxqJ+Cf2eQFttK3b+a5vcgB4uVZCSQeiOxoULF+KcC89B+eLxyCjMVNI8pHXdBUI2Si/WkYtOY+QImEI6+RjqPNoFQrQUVosdezdWw9jteypNjUjrM3V+IVIyEryuZqgEQjQYpaN64YUXpJ0rOeW8++67+OY3vymFQ6+99prXeNwPLliwAAcOHJBpy2bPnu1+asBzujOE8k7X1tZCoxne3YscgsgZ6YILLpDpEl0dkvtOMARC1B/FXFFRgS1btmDcuHGuIfoe6YLVdZd330G3Jy+//DL++7//G0899RRuvvlmecblrHTjjTfimWee6atNQiJyDKLUZ5SmzL2cd955+OyzzwYIhFatWiWdng4ePCiFRe5tJk6cKO9G37t3b99hukP98OHDUlRGF+Lupb29XYqCcnNzQe5JWm3vl54sEHKnFNrnL/xjL/70/qHQDhKlvSfoNMhOFenNkjTINIj0ZnohJNLYhCuRRTgSUXqzLulKlCDSmwmrhSidZeyHrUs2oHxVCpyOU4NO1inuzD568lssEBqUEJ+INwI/WnQbTitaGm/TDni+nhsCSjsMl0CIPiuSOFtpoc/ol156qdJmXJ8JMAEmoIhALAqEsvVNuH3CY4o4uFd+/OBqdNjS3Q9FzXMWCEXNUnGgTCAuCJSWlqKnp0feVEnfYbochMitnET0P//5z2WKXUq160/xvB5ggZA/FLkNE2ACTCCoBJy9KcUSqiJUHESbCrThZ3f7sUKra5RuR0FFMYKdsYvQCMIf4aFJILT7rR2gDWVKWxOskpaW1usgdPZyjF0mHIRGRY4AhzbwE7QJSNWnoje9WLFIL/aVO0ewGHA/oSUQCwIhImSzOnB4Vz3amrqHBZaYrMfEOaORJNL1DFaCJRCiu5ApHdj06dOlew2lJqO0BuQEVFVVBXIJo3L22Wdjw4YNuPXWW3HPPfeA/vYtFgs2b94sHYbIXSgxMVHWpXok2CEhD6XdOvPMM6XwpKamBq+++ipWr14t69H/SOhD7jp//OMfQcIXSqtAYpXBSjgEQjQXSvU1YcIEvPjiiyDBE72f1NXVyc2c9PR03H777TJEYkFCHhL56HQ6KXS65pprsGnTJplubdasWbIezZ36Gzt2LN555x1kZWXJ1BGuu2OofxJvUp5tk8kkmZJgiByNPB2E7rjjDrz00kuyDj0nFyK6u4aKN4HQ559/LteUXIqo3WmnnSbFWEeOHJECJorV3e2I+mGBEFEIT/nF/27HP9f7Z50cnggjfxStWoWsVIMQEmmFK5EKGTogTSuERGorUpwivZmtRwiJOkR6s06oHbbIn1AMRpg8Og1jzrILkdDgrlDHa67Bow13x+DseUpMQDmBG+d8F+eNPVd5wzhv4bkhoBRHuARCSuPi+kyACTCBcBKIRYGQWvj/PDjtLr8x3rf3cb/bjnRDFgiN9Arw+EyACbgT+Mtf/gK6eZK+B6XvTHfs2IGysjL5PeXRo0dB37nS95jl5eXuzXx+7nk9wAIhn9FxRSbABJhA8An0phRrFBuPJvHGH9qUYhS9zZYJq7lAbLzpxXhiE0D8aDQd0Gi7hpmc685jIRQSFw5QkWDIKn+GaRhVp1kkFFXLFbRg2+vbsO/d3Th6+Ch8cQDxdeCcnBxQ6ppZC2Zj9nlzYdVH1saby0XIbDWgmtOL+bqsEVUvVgRCLqitjd2orWiTKcdIHOJektMMyCtKFz9p4t8eSsQzeAmWQKiwsBBtbW1S3EMXUSRIoUe6q5lcg1yFxEI33HCDFAnRsby8PCnmsdlsMj80XbyRQMZVSIh42223yb4NBoMUGpHoiAQy5JrjKpSG7Morr5RiGdqUoTFJlDNYCYdAiMYml58HH3xQiqDIKU2v10s29JziIzETFUpFRs5FNPeMjAzphkRpwu6//37pxCQrffk/micJceg89UcpzEisQ2Pde2+v3Tn1QXMkwdFVV12FW265ZYBAiNyByNnJbDaDmJG466OPPpKjeBMI0Ym//e1voFRitL7Uhsandc/MzASlq6C0aO6FBULuNEL7/O7fbcTHO2tCOwj3LgnQu2q6EGBmyfRmamQIDaZMbyY+76fCLFyJKL2ZcCUyi+sGq4mpBZlA9tQ8ZM9uEfdk2L32XNlwNR6uucfrOT7IBOKNwLUzrsHFE78eb9MOeL6eGwJKO2SBkFJiXJ8JMIFYJBCLAiFap3un3IcEsTehtBjtiXj0wENKm0VMfRYIRcxScCBMgAl8SeCNN97Ao48+Crpx0b3QDaYPPfSQFA65H1fy3PN6gAVCSuhxXSbABJhAEAmEM6WYK2wSBjkcQhwkHIFI5NPrDERCn8gSLrjiHYlHTjU2EtRHdsyuli4cXXcIh3YflBvFHR0dQQmIbCCvvvpqFJaPwcKLl6Dd0h6UfoPVCQmE0vR5aG4fhW5TSrC65X7CSCDWBEIudOQoZOqxyPRjWq0GBuF8oTf4ntOenHY++OADjB8/HnPmzHF1K8UqJ0+elCmrXI4+rpPV1dXS1YbqUzsqJBKhVFrkItPV1SXv0CCRTnZ2tqtZ36Pdbsf7778vBT6UFoz+/mfOnImVK1f21XF/0tjYKIUre/bskf2RqIXSd3mmEiOx03vvvSeFSeRe5HLdce/L9dxqteLNN98ECZtIXOMqJJChmMj5x7PQBef27duxdOlSGbPr/Keffor6+npcfvnlXgVZdOcK1SHnNXJSKikpwUUXXSTdf1x9kC0u9U38qC9icvHFF6NUWOZ6FhJT0Z0y1B/dCUMpIkgQRIWcmIit0WiU81qxYoWcD4mPKEUYCavcy6FDh/D3v/9dCpiWL18O+qHiEiBdeOGF7tXlc+Lz8ccfgwRGJECbOnWqXDtvjk30u0XORMTGs9DYO3fulG5HBQUFnqf5tUICdzy/Hhv21StsxdVDTSA5QYtsKSTSIsMghESU3kxtF+nNSEhkRJIQEiULVyK9RbjC9dd6hjq0qO6/8PRiJBdVeZ1Ddcu38EDlfV7P8UEmEG8EvjX1clw2hVNJKV13zw0Bpe3DLRCimwXoMyB9Nuvu7kZKSgpmzJghP/spjZ3rMwEmwASCRSBWBUKrxvwfZmdsU4xp66mF+Gdt9P6bzAIhxUvODZgAEwgDAfocTG7rlZWVoBtLyUXI23fRSkPxvB5ggZBSglyfCTABJhAwgfCmFAs43BjowGaxobOpE52N7TB1muAQm89qjQr6JAOSc1OQlpcuNqDFDocoI+0iZLFb0G3tEemeHLBzqoew/PZZjRbU7q/B/nV7pQMIbWYHWsiBgjaYV31zFYomlWDmitkw2UzotHQG2nXQ2pNAKEU7GtXNJcKhZGhHlqANyh0FlUCsCoSCCok7YwJMIGoJ3PrsZ9hyqDFq44/3wPVatXAkEq5EyUJIlCDSm+mdSNfYhSORRaQ3M/amNxOORAnis5HKIRxKuaD84jJoUyoGkKhrvxT3HXtwwHE+wATikcCqyZfg6mlXxuPUA5qz54aA0s7CKRAiAf31118vheOecZI7JKXfJWdILkyACTCBcBOIVYGQVm3DvZPvg1bBDcRWpw6P7HtI5Bnw/WaucK/XcOOxQGg4QnyeCTCBWCLgeT3AAqFYWl2eCxNgAhFPINwpxSIeSIgDNLYb0Xi0Hh317bCarLCJH7vNDqG9EQ4BQgwkNi60wpVCl6BHUmYycsflIT0/PewiIZcoiHCwMCjEvxReuidVdmt1Kw6s3YOjR45KBw5yqgikjBo1SjpljJsyDVNPPw1jSg2w2q1oNbUG0m1Q25JAKJkEQpxeLKhcw9kZC4TCSZvHYgJMINwEvv/Up9h5tDncw/J4YSagER/KM74UEmUm9qY3S9MKRyK1SG/mMCHZld7M1A61+CwVy0WlVmH8FWPERUp1v2k2dl2Mew4/2u8Yv2AC8UrgwgkX4Dszr4vX6fs9b88NAaUdhUsg1N7eLp2CKP3usmXLpKMjuVWSy+/atWtB7prk0kiOjZTelgsTYAJMIJwEYlUgRAzLko/hO2Uv9WYdGAaqU9T6w/FbcLKndJiakX2aBUKRvT4cHROIVwLksk4OQuTGrtPpUFRUBG8O50r5eF4PsEBIKUGuzwSYABPwk8BIpBTzM9Sob2az2tFS0YSGg3UwdhjR2nQKx44dQ0VFBTo7O0WaNYdMIUIpZigVy4QJE5A3Og+G1ARkleQgf9JoZKRnIFWfGjIWLAoKGVq/OjZ3mVG1qxInth/D1q1bZaoZvzoSjcj+fOHChTht2XLx+zQVE5acjtE5DcKlxxlZLkLORNjMk2E08xer/q71SLdjgdBIrwCPzwSYQCgJfPexj7Gv4lQoh+C+o4gAeR2mJumEI5EOmUka4UgEZOgovZkNKTAhxWEUqc26kCRciXTWwITeI4lFk6jDuEszxA0NX4njWozn464DT4xkWDw2E4gYAueOPRs3zbkxYuKJlkA8NwSUxh0ugdAf/vAH3HbbbbjxxhvxzDPPDAiTjlNa2pdffhnf+ta3BpznA0yACTCBUBKIZYEQcStOqsC1pX+AQW0eFKPZYcD/nLgZ1caiQetEywkWCEXLSnGcTCA+CJAg/oEHHpBumSaTqd+ki4uLceedd+I73/lOv+NKXnheD7BASAk9rssEmAAT8JOAUnGQXQhcuk91ybRYZkqJJVxv1FoNEtISkJqbJt1uNDqNn9HEdjNLjwUNR+qlOKipthG7d+/G4cOHpTCIcteTApeEGlS0Wi1IJESCDlLizp49G0WlRVIkVDhVKHPzcpGkSwoKMHdBEHXITkFBwRq0TpwOJ9ob2nFs/WHUnqjB+vXrsX37dsX90wetadOmYfmKFcgdMw7F8y9Gek4yCnNOyr4ixUVIoxbvJ+pRaGgZC7rzh0t0EmCBUHSuG0fNBJiAbwSu+8WHOFTV5ltlrsUE3Agk6jW96c2SKL0ZkK6j9Ga2vvRmydZuJJs7YaDUr19eF7g1H/GniaNSUXyuCM3RJWNpt6zEj/f+ZsTj4gCYQCQQWFm6Aj+cf0skhBJVMXhuCCgNPlwCoZ/+9Kd47rnn8P7772Pp0qUDwnzvvfewatUqUL377rtvwHk+wASYABMIJYFYFwi52J2V9y5mZmxHqrZDuOzbxXfYGnRY07GjbS4+bjzHVS3qH1kgFPVLyBNgAjFF4PLLL8fbb78NvV6PRYsWIS8vD3a7HbW1tdi8ebM0PaDPyTfccINf8/a8HmCBkF8YuRETYAJMwDcCGrUdJA7S6GvEB+rB1feu3nraetB0rAEdDR0yHZbNTCmxRD4sIV4QHUAjU2LpoBN3lqaJVFi5Y/OQmJboah73j5RGrOFwPer2VePYoWPYtGkTKisr0dXV++X6UIDoH8j8/HzMnTsXM+fMQk5pLopmliA7J9tvkZC7KIgFQUPRj4xzlH6upaIZxzYcRmNdoxQI0e8QOU75UsjifM6cOfInb0w5Rs88W/ydjhNCNBuyUlvEXe8i1V2EpBlTqwwiTUc5WjtzfJka14lQAiwQitCF4bCYABMICoGrHl6L43UdQemLO2EC3gjoNGpkutKbJaiQrhdCIq0DqeK6LdVhRopIb5Zk6UCCEBOp7TZvXYTsWMbEXOTNbxf6JSu6bItw++6XQzYWd8wEoonA0qIluGPR7dEUckTE6rkhoDSocAmEnn76aaxevRrPPvssvve97w0Ik1yF7r33XlC9m266acB5PsAEmAATCCWBeBEIhZJhJPXNAqFIWg2OhQnEN4HW1laMGTNGioI++ugjlJaW9gNCGS9WrlwpU/HSje3+FM/rARYI+UOR2zABJhC3BJwOO+wW4egjNvlVKjU0ugTh7KODeDGASVpSmxAEdMDsaIXZPvTmhs1qE8KgRjQdaZApsdqaW2U6LBK3UA52UoqS2016err8x6FE/AORkZWOxIwkjBqfh5zyUUI8FN+OQuQKRAwrt57A0QNHsG7dOpw8eRJWq3XA2gx2QKPRyHyepNCdu2CuSDVWgPHzJyIjKWOwJv2OuwuC6ITDKX5fxO8Ml+ghYDXrhAOVHdW7tqCtqU7+HW7btk3+LrmcpzxnQ7lgS0pKMH/+fBQUFCB7dAlGTz8TKXnlUGu0Mn93kqEb+dk1EZFmjNyDEtW5aG4rFYIl8f7FJWoJsEAoapeOA2cCTMAHApf97D1UNQ0v8vahK67CBAIiIO7TQHqyvje9WaJapjdL19mRpvoyvZm9N71ZorkdWtvwN4X4GszoJUVILauB0TkNt+74P1+bcT0mENMEFhTOx11LfhLTcwzF5Dw3BJSOES6B0IEDB2S6boPBgPvvvx9nnHGGdHymlAtr167FI488Iq+pye23rKxM6TS4PhNgAkwgIAIsEAoIX8Q1ZoFQxC0JB8QE4pbA8ePHMX36dFx55ZWglLveypQpU2R2FMqW4k/xvB5ggZA/FLkNE2ACcUXA1N6Itqp9MLbWCWGQSE8lBB8kFJCaIJVGCgAS0nORMWYqEjNHQ6VWg8RBmamnYHV2oMfaM6RIxNxlQv2hOjQKcRClxNq1axeOHTsmU2L19PRIgUvveCqQEIFcSlJTUzF+/HipGM0ZnYtRE/KRP3E09En6uFob98l2iPRQJ7dX4Miuw9iwfgP27dsn/8F0r+PLc7VYP1LrLlu2DNPnTkfxrDKUTikb1EXIXRTEgiBfCEd2Hbs9DV1t49HVWIXmY9vQWn0IbW1t8qe+XrhT1dVJRyqVeANIS0uTgiBynqK/yezcUUgfPQ65E5cI8V6+fG9wzTZBb4yINGMkDko3pAvRYTKqm0pd4fFjlBJggVCULhyHzQSYgE8ELln9H9Sd6vGpLldiApFCICVBK9ObZSZpkGnoTW+Wprb2pjdzCCGRrQtJ5g7ozd0+hVx2YanoRIMfbP+3T/W5EhOIdQLzC+bhp0vvjPVpBn1+nhsCSgcIl0CI4vrtb3+LO++806uTL904R6kVrr32WqVT4PpMgAkwgYAJsEAoYIQR1QELhCJqOTgYJhDXBCiDxcyZM+X+L6UTo8+87oUypBQXF+Oyyy7DSy+95H7K5+ee1wMsEPIZHVdkAkwg3ggY2+rRWrEb3c0nYelph81iRLd4Iya7NxLukNsMOfpkZGQgISkVuqQ0JGcXoHRqGQqKE6HVCDt4S7cQCA3+5a+lx4K6/TVoEAKhwwcOY8uWLdKphPofzK2E1oHECSQUKhVOQvPmzcO4SeMxekoB8icXQGeIP0cQh92B+oN1OLbxCLZv3YYPP/wQJpPJ719ZEmLRP8hnnXUWiqaXYOzC8UhLSZMiIXdBEA3AoiC/MUdcQ4cjAWZTKWzWXDiFGNDcLf7WW2rQWrkbXeJ9wCj+Lun3ymbrTTFBvyf0wSopJRUpuaXILJkhhUGGlMwBrmJajU2ksGhBWnLbiLoIadXCicwwSqQWy0J7t4iTS1QTYIFQVC8fB88EmMAwBC786dto7vD/89ww3fNpJjCiBAwidXRWqnAlStIiQ6Q3yxDpzdI09i/Tm5mEkKg3vVmiSG9WcPF43H7w7yMaLw/OBCKFADsI+bcSnhsCSnsJp0CIYqM7o1977TXs2bMHRqMRND59R3PNNddg7NixSsPn+kyACTCBoBBggVBQMEZMJywQipil4ECYQNwRoIwxO3fu7DfvTZs24Sc/+Qkuvvhi3HLLLUhMTOw7//zzz2PNmjXy55xzzuk7ruSJ5/UAC4SU0OO6TIAJxAcB4Q7UenIvWo5vg7mjGe2tzTh48KB09SGlpsVikSm/SKRDAgG9Xo9Ro0ZJC7ji0jKkZaVh7MyxGDO+SNjBmwYVCJEAqG5/rUhldBL7d+/Dhg0bUFNToyglFo1NytHFixdj0rRJGDO7RDoJUWzxVLpaulC1oxK71+/EJ598Itcq0Pnn5ORIF6FFKxajSHAdVZYHjRBXsCAoULKR257cg4zdU4SA50uRnVMIwOwWWLqFQFDc5W01dcLS2SrEgsLNQPyJ6Qwp0AsxkC4xDVpDkhAJpvdzDXKfqQpOJIo0Y6NFmjEqVpGmsNXU6l4l5M9d7kEO4R5U2zJGOJv1V6KHPAAeIOgEWCAUdKTcIRNgAhFE4Gt3vYVTncFL1xRBU+NQmIDPBPRCSHTa0i4cUrODkM/QuGJME1g0ZiF+svjHMT3HUEzOc0NA6RjhFggpjY/rMwEmwATCQYAFQuGgHL4xWCAUPtY8EhNgAv0JUMaKwsLC/gd9eDVhwgTs2LHDh5oDq3heD7BAaCAjPsIEmEAcE3AKK7dTFTvRdHijEAW04vChQ/IN15VWiJSd3grlRycnoUmTJmHWrFnCQagQRTNKkDMuF9B4awGcqjolRC0VOLTzINavX48jR470OZN4b+H9KImUaNylS5di/MwJUsySURBfziBNxxpxYtMxbN6wCe+99x7M5sA3k8ghityZvnbh1zB6ciFKF5R7XwA+GjME7PYUmHomCivzpIFzEoI+SjHosFlkmkGqoNJoodHq5ePABgOPuKcZI4GgyWZCp6VzYMUQHHGJg8hByGw1cHqxEDAeiS5ZIDQS1HlMJsAEwkXg6/e8g8Y2Y7iG43GYQMQRSE3SYfLCY6jBFxEXGwfEBEaKwOIxi/D/Lb5jpIaP2nE9NwSUToQFQkqJcX0mwARikQALhGJrVVkgFFvrybNhAtFEoLu7GzfffLPikAsKCvDYY48pbkcNPK8HWCDkF0ZuxASYQKwSaK3YhYaD62HqaMGuXTtBtm4tLS0+C3co7df48eOxYMEClE4oQ/GcUuSOyyOzkX7FbrOjeudJVOw4gfWffY4vvvgiIFELvbmfdtppWHLaEhTPLsOYGUXCyUTdb8xYflF3oAaH1x3Exo0bZXqxYM116tSpOP/881E2eyzGnTZBpnYLVt/cT+QRcAo1n82SC5NxfEiCU6vsSEtqR3Z6k+w/nC5CWo0OWQmZwv1Mi5bOHHT2pIdkjtxpeAmwQCi8vHk0JsAEwkvgm/e/i5rmwVP1hjcaHo0JhJdAcV4i0qZ+glZnRXgH5tGYQIQTWFq0BHcsuj3Co4y88Dw3BJRGGG6BUFNTE/7nf/4HBw4cQHV1NV544QWMGzcOJ06cAG2oTJs2TekUuD4TYAJMIGACLBAKGGFEdcACoYhaDg6GCTCBEBPwvB5ggVCIgXP3TIAJRA+BrsYKNBz4HN3NIlXVrl347LPPpDiInD6UFHqjJWHJokWLUD5trFdHn7a6NlRtr8D2z7fh008/lV94KBnDW93S0lKsWLECM5fOFiKhEqSOSvNWLeaOOYTrU92+Guz5cJdM00YioWCV8vJynHXWWZi+dCbGLhkv0khxSqZgsY3Ufuy2DPR0Tw9ZeCPhIuTuHmQR7kE1zcUiVV78CAhDtpgR0DELhCJgETgEJsAEQkbgWw+9j4r68DjthWwS3DET8IPAzEmJ6ChYA4uzy4/W3IQJxDaB04qX4kcLb4vtSYZgdp4bAkqHCKdAaM2aNfj+978Po/ErF0Fy3Z4yZQrmz58vUoI7sXXrVuj1eqXT4PpMgAkwgYAIsEAoIHwR15gFQhG3JBwQE2ACISTgeT3AAqEQwuaumQATiB4ClDaIxEEtx7bgxLGjWLduHSoqKkSqIYdfk0hMTJSOPgsXLUTJnDIUTi+CVv+VuKRmTxWqhIPQpx99IseyWq1+jePeiNKcnX766Vh+xnIpSho9RXkOS/f+ouU5uTHV7qvGrrU78Pnnn2P79u1BC72oqAhnnHEG5q6Yj7LFY2FIMgStb+4oMgmEWiCkUduRntyKzNQWCSDULkLu4iAakNOLRebvnb9RsUDIX3LcjgkwgWgg8O2ff4AjNe3RECrHyASCQkAtbGcXLnCgKnmN3AAPSqfcCROIMQKnlyzDbQtujbFZhX46nhsCSkcMl0Do6NGjWLhwoXwPvPXWW9Hc3CydhEggNGvWLPzwhz/Eq6++itdffx0XXnih0mlwfSbABJhAQARYIBQQvohrzAKhiFsSDogJxD0Bm82G/fv349ixY16z2qSlpeHcc8/1i5Pn9QALhPzCyI2YABOINQIddUfQsH8dupqrpWCHXGgsFktA0ywsLJSOPrMWzUaRSDWWVZQl+6O7nU4K96CjGw/j448/xubNmwMax73xkiVLsGLlCpTPHyfTm7mfi9XnDrtDCoR2f7AT9KXRli1bgjZVcmUigdDs5XNQvng8dAm6oPXNHUUmAbs9DcbuKeILydCtdaK+BwU5VRIAvR+YbCZ0WkLjkOBKLUaD2ew6tLTnosuUGpnwOSrFBFggpBgZN2ACTCCKCNzwq4+wv7I1iiLmUJmA/wSSE7SYtqgK1ap1/nfCLZlAHBBYUXI6bl3wwziYaXCn6LkhoLT3cAmEXnzxRfz4xz/Gk08+KV2E6PH++++X3/WQQOiDDz7AxRdfjHvvvRf33HOP0mlwfSbABJhAQARYIBQQvohrzAKhiFsSDogJxDWBQ4cO4ZprrpECocFAjB8/Hjt37hzs9JDHPa8HWCA0JC4+yQSYQLwQqN/3KZoOf4GTFSfwySef4Pjx4wFPXavVYvny5Vi67DSUzR8rXITGyD7tVjsqt53Ank93ybH27dsX8FiuDugLE0ozNuW0aSieWwq1Jj7SCNXur8HBT/bhiy++kCnbXDwCfZw0aZJU5E6YPxFjl06IG56Bcovm9g5HEkzGsSAnoVAVrdqGDOEglJ7cJocIlYuQp3sQpxcL1YqOXL8sEBo59jwyE2ACoSdw85OfYNexXse90I/GIzCBkSNQmJuI7OnCzdZ5dOSC4JGZQJQQOKv8TPxg7s1REm3khOm5IaA0snAJhFavXo2nn34aa9euBd0A5ykQevvtt3H55ZfjoYcekkIipfPg+kyACTCBQAiwQCgQepHXlgVCkbcmHBETiGcCixYtwp49ezBjxgy5r6zTDbyBPScnB7fd5l+6Zc/rARYIxfNvG8+dCTABScBmNqJ+70c4dWKHFJhQmqqenp6g0Jk5c6ZM+zXt9BkomlUCrUELq8kqBULbP9wqxSxHjhwJyljUCeVkJ4HQjBWzhECoDFqdJmh9R3JHDYfrcGzDEWz6YhPefffdoFnyz549W9pWF0wdg7FLxkcyAo4tSAScUMNmzYGpZ2KQehzYjQpOJBp6MDq7Wp4MlUDI3T2IBuL0YgPXItqPsEAo2leQ42cCTGAoAj989jNsPdQ4VBU+xwSinsC08UkwFr0Jk5PT6UX9YvIEwkLgogkX4PqZ14VlrFgaxHNDQOncwiUQWrNmDa677jpcccUV+P3vf49nnnmmz0Fo8uRkaCDwAABAAElEQVTJuOSSS+T3aG+99RZWrlypdBpcnwkwASYQEAEWCAWEL+Ias0Ao4paEA2ICcUugpqYGEyZMwNSpU7FhwwaQ+USwi+f1AAuEgk2Y+2MCTCDqCBhb60AOQp31R/Hhhx9K62JK+xOM4koztvDsxSiaXYLkzGRYzVac3FaBnR9vlw5CZB0XrDJt2jQpEJq+fKZ0ENJo40Mg1FbbJpiewPb12+QaNjQ0BIw0JSUFixcvxspzVgr3pyKMnlIYcJ/cQXQQsNvS0dM9XQSrClnAOo0VWWlNSEnslIK2YKcZ83QPovRiTW156DEnh2xO3HH4CbBAKPzMeUQmwATCR+BHv1mPL/bXh29AHokJhJEAfcpcOA+oSf0bHOI/LkyACfhG4PIpl+KKqZf7Vplr9RHw3BDoO+Hjk3AJhLq7u+V3Wvv375ebJKmpqdi2bRtWrVolHysrK7F06VKQk5C3u6p9nA5XYwJMgAn4RYAFQn5hi9hGLBCK2KXhwJhA3BGgz7hk/nD99dfj+eefD8n8Pa8HWCAUEszcKRNgAtFEoLPuKBoOrENXc7W0Md64cWPQws/IyJB3NS0773QhECpFen46HHaHcBCqwMH1+/Dxxx/7nTPSW5Dz58+XX6ZMWDxJCoRUqtAJHLyNP1LHrGYbavdU4fAXB/tcoAKNhRS75557LsbNGo/ShWORmJYYaJfcPkoIUJoxs7EcNltmyCImF6GkhG7kZ9XIMYLpIuQpDqIByD2opqlEjBof7wkhW7gI65gFQhG2IBwOE2ACQSVw54tfYN3u2qD2yZ0xgUggkKjXYOaielRpPoqEcDgGJhBVBK6b+W18fcJFURVzJATruSGgNKZwCYQorqqqKtxxxx34z3/+088dWq1WS6HQE088gdzcXKVT4PpMgAkwgYAJsEAoYIQR1QELhCJqOTgYJhDXBMiwgtwys7OzpYFFKGB4Xg+wQCgUlLlPJsAEIppAUYoJ+cnmvhgPHzuMnVu3oK2hCR988AGCKRBKS0uTAqHTz1uOojmlyBidIcc9ub1Cphn76KOPgvqGv2zZMpxx5hkoFmNRSrN4Ki2VzajcchwHdx+UwitS3fpbsrKy5F1p8xfPR+G0IoyZWYx4EVv5yyyW2vWmGcsWacYmhXRaCXojCnNOyjHoQ6DJbkKnuTPgMT1Ti1GHZmsCqoVAiEtsEWCBUGytJ8+GCTCB/gQe+uNWvLPJ/89z/XvjV0wgMgjkZyUgf9YmNDkPRkZAHAUTiDIC3597E84uPyvKoh75cD03BJRGFE6BkCu2EydO4ODBgyCH6NGjR8tNk+LiYtdpfmQCTIAJhJ0AC4TCjjykA7JAKKR4uXMmwAQUEvjjH/+IW265BbfddhvmzRN2w14K7TefdZZ/10Ke1wMsEPICmA8xASYQuwTSk9uQm9qGBM1XNu41lTXYs3EvWuqapYPQF198ETQAdFfTihUrsPTc06SDUGpuquy74Ug9qndUYv0n62X+9M7OwEUBmZmZWL58ORYvXyLESCXIKYuvO6ps5CK0rxrHtxzF/n378fnnn6O5uVnxWiYnJ2P27NkyvVjRlGLpHpSQkqC4H24QvQS0ai30qlE41V4Mq0jNFaqiVjmQltSO7PRGOUQwXIS8uQdZbZReLB9GS1KopsL9jhABFgiNEHgelgkwgbAQeHbNbvz1oyNhGYsHYQLhIDClPAnWsn+gx9EajuF4DCYQkwR+tPA2nFa8NCbnFspJeW4IKB0r1AIhm80m04bt27cPNBbd/DZ37lylYXJ9JsAEmEBICbBAKKR4w945C4TCjpwHZAJMYAgCx44dw6JFi9DT0zNorfHjx/udkcbzeoAFQoNi5hNMgAnEGgESB2WktECrsfWbWkdzO/YLgVDd8Vp88skn0tGHvpwIRqE0VaeffjrmnDFPCIRKYEg2yG5NnSac3HYCh7YclGPu2bMn4OFI1EJipPHzJwoHoRLok3rHCrjjKOrA2N6Dqp0ncXJPBQ4dOoRNmzahvr7e5xmQApc4zpkzB4Xjx6BkbhnSv3R98rkTrhj1BPQaPdIMWejqSUVTe35I5xNMFyFv4iAKntOLhXQJR7RzFgiNKH4enAkwgRATePU/B/HSv/eFeBTungmEngAleF0wR4O6jNdhd9pDPyCPwARimMDdp92FeaNZOKJ0iT03BJS2D6VAqKKiApdccgkOHz7cL6yrr74aL7zwArRabb/j/IIJMAEmMFIEWCA0UuRDMy4LhELDlXtlAkzAPwIkkN++fTumTZsm95T1ev2AjsiQ4vbbbx9w3JcDntcDLBDyhRrXYQJMIOoJDCYOoonZLDbsXb8bJ/YcA92ttG7dOjQ29jp6BDrxJUuWyDfzcYsmYIxI+aVW09fDkHnUa/fXoGpHBXZs2YHPPvvML7cbV3x5eXlynJnzZqF4dinyJo4WKbFcZ+PnkdI0dZ/qRs3uk6jeX4W6ujrs2rULBw4cgMViGRSERqNBUVGRtO4rKSlBflmBEHQVI6MgE2qNetB2fCI2CZBAKCMhAyZLIupaxsDhDN3vgEZtR3pSGzLTet2uAnER0ml0yEzI7LcodocGbV1Z8qffCX4REwRYIBQTy8iTYAJMYBACb647jsf+b8cgZ/kwE4gOAgadGnMWteCk9v3oCJijZAIRTuChFQ9gau6UCI8y8sLz3BBQGmGoBEJ0c97SpUuxd+9eXH755bjgggvQ0dEhhUH0Pc7q1atx9913Kw2X6zMBJsAEQkKABUIhwTpinbJAaMTQ88BMgAl4ECDB/NSpU2VKXcpwo9MFP6uF5/UAC4Q8FoFfMgEmEHsEaAM+O60JqSKVj9fiBA5u3o8j2w+hrbUNH374od82be79p6amYuXKlViwZIF0oiHRjnsxdZlQtb0CFbtOYMuWLdi8efOQ9nHubd2f0zgLFy6U9ssls8qkQEifNFBd6t4mlp87HU4YO4xoOFyHugM1aG1uRVNTE2pqakA57FtaWmC1WkGioPT0dFAOexIFkfo2KzsLueV5KJw2BsnZqdBoQycMieU1iPa5uQRCDocancY0NLfnhXRKifoeFORUyTFI5Gaym9BpVpZ2cDD3IIvVIEVONgffdRnSRRyhzlkgNELgeVgmwATCQuDDbdW49+VNYRmLB2ECoSCQm2EQNx3sQAMCd4sNRXzcJxOIRgJPnv0YSjNKozH0EY3Zc0NAaTChEgi9//770j3oiiuuwCuvvNIXVnt7O2bMmAG73Y7Kykr5/U3fSX7CBJgAExghAiwQGiHwIRqWBUIhAsvdMgEmoJiASyB0/fXX4/nnn1fc3pcGntcDLBDyhRrXYQJMIGoJqFUOpCe3ip828YXC4GnDWmqacGDTfjRWNWD37t3S0YeEJIEUSlVF6cXGz5so04slpiX2607oktBR3y5dhKoPVUn7uG3btqGz03dhQEZGhhQGzZo1C2MmFQtxUAlSR6X1GyceXxBba48FHY3taD7ehJbKZnR3dqG7u1s6CTkcDuGwpJJKXPqiKyU1Ben5GRg1Lg/pwjUoITVBno9HdjxnwCUQIhZGcxJqW4pCikWjtiEz5RTSU1rlOEpdhAYTB1FnZmsCqptKQho/dz5yBFggNHLseWQmwARCT2DroUb88NnPQj8Qj8AEQkBgYkkSnOPeQrejKQS9c5dMIH4JvHzR76Tba/wS8G/mnhsCSnsJlUDomWeewb333ovf/e53oJRi7mXVqlV47733cOTIERQUFLif4udMgAkwgREhwAKhEcEeskFZIBQytNwxE2ACCgnQTeO0x0uf2Tdu3BiSvUnP6wEWCClcJK7OBJhA4ARItKNSkYTDCcqCRQ4/KrUj4I5tNh08XTJUYgyt1gqtEAdpVHbxaEVyYicS9KZ+49mtNhzccgDHdx1FR3sHPv/8c5BYZ6i0VP068HhB6apIHDR5+mQUz3Gl/BqY88thd6CttlWkxKpC7dFehxsa9+TJkzINmUe3fS/VajVKS0t7XYOE+03B+EKMmVGMtPx0TonVRwkgvuZuM8zCrYlchbqaOmESj3aLHWrhDqRPNiAlJxXJWcnyeUJKAjQ6jVsP/DQeCbgLhMiBp7FttBDaGEKGgt6nEg09GJ1dLcdQ6iLkLbUYdWSza3GqI1e6IIUseO54RAmwQGhE8fPgTIAJhJjA4eo2XPvohyEehbtnAsEnMH+WDg1Zb8DuHDzFcfBH5R6ZQOwTUKvUeP2bfwE9clFGwHNDQFlrIFQCoaeeegr33XefdA8iFyH3ctlll+Gdd97BwYMHZUp493P8nAkwASYwEgRYIDQS1EM3JguEQseWe2YCTEAZAbPZjJ/97Gd47rnn8P3vf19mpvHWQ0pKClasWOHt1LDHPK8HWCA0LDKuwASYQLAJ6A3VwrnlK3cel1go0HHM5kJYLaMG7YY24TUaExITq6DX9zp1uFfuPNWBE1uPoaWiGW1tbdJFaM+ePTIdlXu94Z7n5+dj8eLFmDR5Eijl15iZxdAnDp7yy26zo6u5C7X7qtFwtB6tp06hvr4ex48fl0IhchQiW2X3lFhlZWWgcTJFSqz8caNRMLVQpMRKYXHQIItDcjSH1Q6r2Qq7eKQ0ZOQgRCIhnUEHjV4TElXuIOHw4Qgn4C4QcjrV6DKmCpFQfkijTtAbUZhzsm8Mq8OKVuPA96m+Cl8+0ai1SDekQSsePQuJm2qai+EQc+ASmwRYIBSb68qzYgJMoJdAQ2sPLr73P4yDCUQNAZ1GjfmL21GpeydqYuZAmUA0EchIyAA5CHFRTsBzQ0BpDywQUkqM6zMBJhCLBFggFFurygKh2FpPng0TiGYCDQ0NKC8vH3YKEyZMwI4dO4at562C5/UAC4S8UeJjTIAJhJCAEwmJR6HT1wd9DLOpFBYhEgIGboarYBdCkDpodc1Qq01CDGIdMD65drTXtqFqZ6VM/UUioe3bt2PXrl3o6OgYUN/bAXoTX7BgAUqEq8+YqcUytVhSepK3qv2OOYRghVxu2qpPofFoA9rqWtHV1ZsSy2azSTch95RYqampyBCpsHJFSqzMwkwYhPMNnefCBJhA4ATcBULUm8mSiPqWQnEXeOjcpdL0FkzJa0STvVtOwBeB0FDiILtwD2rtzEZ7T0bgQLiHiCXAAqGIXRoOjAkwgSAQMAnHxxW3/yMIPXEXTCD0BLLS9Cibuxf18O/LutBHyCMwgegnUJZRiifOfiz6JzICM/DcEFAaAguElBLj+kyACcQiARYIxdaqskAottaTZ8MEopkAmUQ89NBDw05h1KhR+MlPfjJsPW8VPK8HWCDkjRIfYwJMIGQEVCqLEAgdF0KdpqCPYTEXCYHQGCGmGeikQYIgQ8IJIUxqGHJcu80hxEFtqN51UoqESKRTV1eH/fv3y7zn3d29m/funVC6r7y8PEyfPh1jx45FVlYWCiYXolCk/EpMT1Qk3LGJVGfmTpNIg2VCV0tnb0osIRxyiLg0wu3GkJqI1FyREku4BSWkJUphkJZTYrkvBz9nAgET8BQIORxqmaaruT0v4L4H6yDDYMX8/DZ0OsxSJORLmrHBUovRGOQeVNtSBLsjdKKmwebCx8NHgAVC4WPNIzEBJjAyBFbe/k8YLbaRGZxHZQI+Ehg7Jgm6Ce+i01nnYwuuxgSYgD8EZufPwupl9/jTNO7beG4IKAUSaoEQfZeWk5PTL6xDhw5Jd+9Zs2bBYOif8vsHP/gBKAUZFybABJhAOAmwQCictEM/FguEQs+YR2ACTCByCHheD7BAKHLWhiNhAnFBQKNtF0KdCpEuyzdHHiVQHE4DLKZi2Ky5QiRELkLujjpO4RxkFCKbTuleNNT4DrsQCTXqUH+wWjj6HIfFaAYpOOmHBEPt7e0wGkVfGg3IyYd+KPdjRkYGUrNGIW9CPvImClefZHL1UTKDr+qSo5DNYoXNZBPiIJESS7gbyZRYQgxEKbG0ei1Uaj87/2oYfsYEmIAXAp4CIapiMidJwQ2lqwtFIYHQovx24XXm7BMJDeUiNKR7kBAFtXdlorUrOxShcp8RRIAFQhG0GBwKE2ACISFw1cNrcbwu+NcNIQmWO41LAnOnG9Cc+zpsTnNczp8nzQTCSWBl6Qr8cP4t4RwyZsby3BBQOrFQC4SUxvPLX/4St956q9JmXJ8JMAEmEBABFggFhC/iGrNAKOKWhANiAkwghAQ8rwdYIBRC2Nw1E2ACAwmQOEhnqBXSHfvAk0E44nAkCDHNl3cWOQcKaOz2JCHs6RFCobYhR3M4dDB3m9Dd0oqWE01oqzkFm9kGu90Oq9UqH0mwo9VqodPpoE/OQGbxdKTmj5OuQUnpTeJ48F2ShgyaTzIBJhAUAt4EQnZbgkg1WIBTJl1QxvDsxCUQouMukVCjrQsmuwmd5s5+1YcSB1HFXvegMcI9aKCbWr+O+EXUE2CBUNQvIU+ACTCBYQjc8fx6bNgX/NTEwwzLp5nAsAS04maNBYt6UGn417B1uQITYALBIXDJpG/gmulXBaezOOvFc0NA6fRDJRBqa2tDS0uL0nCk21B6erridtyACTABJhAIARYIBUIv8tqyQCjy1oQjYgLxSqCnpwevvPLKsNOn7DVXXeXf9ZDn9QALhIbFzRWYABMIJoGExKPCwWfkrNedTtrcJzce31IVkJuQpccsfiwwdqSju00Pq7EDTrsVGr1I8ZWaDW1CCjQ6A/RJGdAakqVxkVptgp7EUCwSCuavD/fFBMJCwJtASPyFQ2vJwe7m1JDE4C4QogFcIqFaaxtaja39xhwqtRhVNFsTUN1U0q8Nv4hNAiwQis115VkxASbwFYHH/28H/t+6418d4GdMIAIIZCTrMX7BQdRiSwREwyEwgfghcMPs7+CCcefHz4SDOFPPDQGlXYdKIKQ0Dq7PBJgAExhJAiwQGkn6wR+bBULBZ8o9MgEm4B+BhoYGlJeXD9t4woQJ2LFjx7D1vFXwvB5ggZA3SnyMCTCBEBFwolcgFJ13AZuNRTB25cFhF+Iip0Ok+NJArTVArREuHV5yibFIKES/RtwtEwgxAW8CoUSVDin2LOxsShOuPpTCMLhFq3KiIMWEKVndfR2TSKhDOAhVWVr6XISGcw+y2vRobB0NkxAJcYl9AiwQiv015hkygXgn8Of3D+H5f+yNdww8/wgiUFqQhKTJa9HuqI6gqDgUJhAfBO4+7S7MGz03PiYb5Fl6bggo7Z4FQkqJcX0mwARikQALhGJrVVkgFFvrybNhAtFMgByEXn75Za9TOHXqFP70pz+hqakJjz/+OG6++Wav9YY76Hk9wAKh4YjxeSbABIJGQKWyCIHQcWij1FWH0pdZTCUixdgon5ioVFaQSIhSqul0jT614UpMgAmMPIHBBEL56nTUdhuw/1RKSIIkkVBWogV5SRYUJpvlGCQSOiVSjR3uqsZw4iBqwO5BIVmaiO2UBUIRuzQcGBNgAkEi8MHWaqx+ZVOQeuNumEBgBGZPSUBb/huwOI2BdcStmQAT8IvAs+c+hTFpY/xqG++NPDcElPJggZBSYlyfCTCBWCTAAqHYWlUWCMXWevJsmEAsEzh27BhmzpyJW2+9Fb/4xS/8mqrn9QALhPzCyI2YABPwh4BG2w6DSLul0XT40zwi2phNpbCYi3yKRYqD9A1CENUohUI+NeJKTIAJjDiBwQRCaY4s7G1JQYdFuIaFqJA3UaLOjtFCIDQuvUeOYhOOZU3WdlSZW5CZkDnoyNI9qC0fJkvioHX4RGwRYIFQbK0nz4YJMIGBBPaeOIXvPf7xwBN8hAmEkYBGuMUuXGjByaQ34XSGcWAeigkwgT4CKvF3+JdL/gy6VuOinIDnhoDSHlggpJQY12cCTCAWCbBAKLZWlQVCsbWePBsmEOsEpkyZIvbWNdizZ49fU/W8HmCBkF8YuRETYAL+ECBxELnpqGD3p3lEtCH3IIupGA7HYBvwrm+MVSJehxRE6Q01ERE7B8EEmIBvBAYTCCXasrGlId23TgKoRe8eeo0D+UlmTP4y5RiJhLodZjjFF+NN9q/SkLkPw+5B7jTi4zkLhOJjnXmWTCCeCbS0m3DB3W/HMwKe+wgTSE3UYfLC46hRbRjhSHh4JhDfBLKTsvC7C16MbwgBzN5zQ0BpVywQUkqM6zMBJhCLBFggFFurygKh2FpPng0TiGUC7e3tGDduHHJycnDgwAG/pup5PcACIb8wciMmEBsEaBOaikvS0vsqdP9PSDwKldoCmyUHWn0TtNpToRssRD07nTrhIDQGVvNowU3jdRS12izm1yCEUE7hHGSM2pRqXifHB5lAHBDwJhCyWRPQ2l4YUvcgT7RatRMFySZM+VIkROcp5VinEAp5ioRsNj2a2/PRbR5MvOjZO7+OBQIsEIqFVeQ5MAEmMBQBcmtZftvfYbE5hqrG55hASAgU5SUifeqnaHWeCEn/3CkTYAK+E5iSOwUPr3jA9wZcsx8Bzw2Bfid9eMECIR8gcRUmwARingALhGJriVkgFFvrybNhAtFMwGQy4R//+IfXKXR0dOC1117Dtm3bcM011+Cll17yWm+4g57XAywQGo4Yn2cCMUigLM2InEQLKjsS0WTUh00gRGIZkiNpdS3Qk5OQyhKVdB1OA5wOg5gKJQMCbLYM2Ky5wlVIHBOyIJVwDqI56oRISK3pEvO0ynr8PybABKKDgKdAyKDSQmvNwO7G7LBPQKsSIqGU/iIhh3gf7fAQCZF7UE1TSdjez8MOggf0SoAFQl6x8EEmwARijMDlD7yHk41dMTYrnk6kE5g5MREdY9bA4uDfvUhfK44vPgicUbYS/zXvB/Ex2RDM0nNDQOkQLBBSSozrMwEmEIsEWCAUW6vKAqHYWk+eDROIZgINDQ0oLy8fcgrTpk3DW2+9hdzc3CHrDXbS83qABUKDkeLjTCAGCZAgh4Q5kzM0yDckYt+pFFR3JgS8oUxORFqtVYhiamG1pgjBzOCb6HpDtYihJmrFQd5+LZxO/ZfiICEYcooEavYU8ZMmnYN0uiZvTfgYE2ACEUzAUyA0Eu5B7nhIJJQtRJ35yWaMTuoVVrqLhMg96FR7HjrNSe7N+HkcEGCBUBwsMk+RCTAB3PXSF/h0Vy2TYAJhIaAWF7cL5ztQlbIGTrKw4sIEmEBEELhq2rfwzcmrIiKWaAzCc0NA6RxYIKSUGNdnAkwgFgmwQCi2VpUFQrG1njwbJhDNBLq7u/HEE094nQJ9Dp8yZQrOOecc6HQ6r3V8Oeh5PcACIV+ocR0mEOUEdGrhaCOEOSrNKZHyyoQkrRp64YjR3l2MblOO8LvxvVDaLK3GhtSkNiToTX0N1SoHjI5TMFntMBvLvIqEYlEc1AfA7YnTqRVfJuuFCMoWU0IotynyUyYQ0wQ8BUJGIbypbSka0TmTX1mSziZSjpkxJtWMum49Wk3ifVykXHEKNzOLcBBS8l4+opPhwYNGgAVCQUPJHTEBJhDBBF761z68+u7BCI6QQ4sVAskJWkxfWI0q9aexMiWeBxOIGQJ3LLodS4uWxMx8wj0Rzw0BpeOzQEgpMa7PBJhALBJggVBsrSoLhGJrPXk2TIAJDE3A83qABUJD8+KzTCCqCZDrRIlIJ2ZS1Yt0NMLJxiOll9VSCIt5jHC/0XudJzkDaYQYKE2KgSg9WG8hMZBOOAap1XbXIfRYe9Bj6xF9OWA2lcJqKRCb1pq+83p9DfQJQqTkEUNfBX7CBJgAE4gQAiqVGonaBKTohSOaXYu2rmwhqMwY8ejoPVmvcYjY7DDZNLA6hGOZcC3jEr8EWCAUv2vPM2cC8URg7dYq3PfK5niaMs91BAgU5iQge8YGtDiPjMDoPCQTYALDEXjm3CdRlDayN20MF2Mkn/fcEFAaKwuElBLj+kyACcQiARYIxdaqskAottaTZ8MEmMDQBDyvB1ggNDQvPssEopZAWVoPzOp62FTtsMEkNpJtA+ZitebBYioSop7EAedcBww6E7LTmpBo6HEdGvDoLg6ikw6HSFvmNMBqzpNOQjp9fcylFRsAgQ8wASYQUwRcLkLkztNlTEFj2+iYmh9PJjYIsEAoNtaRZ8EEmMDQBI7XduCqR9YOXYnPMoEACEwblwRTyZvCEbc9gF64KRNgAqEioNPo8L/f+BM06q9uQgvVWLHar+eGgNJ5skBIKTGuzwSYQCwSYIFQbK0qC4Riaz15NkwgmggYjUY88sgjikMeNWoUbrvtNsXtqIHn9QALhPzCyI2YQGQTIHGQ1lCDFluzV2GQK3qrNVcIhIqFoCfJdWjAY69bkEWkFbMiPbltgFDIUxzk3oFLKKRWG9k5yB0MP2cCTCDiCbi7CEVCirGIB8YBjggBFgiNCHYelAkwgTATsNkdWHn7P2EVj1yYQDAJkA/jwnkq1KT+TaRq/codN5hjcF9MgAkETqAsoxRPnP1Y4B3FcQ+eGwJKUbBASCkxrs8EmEAsEmCBUGytKguEYms9eTZMIJoItLW1obCwUHHIkyZNwrZt2xS3owae1wMsEPILIzdiApFLwFdxEM3AZs2B2SwEQvbkISdEX5xmpLQgPaVV3LHV/4vTTksnjNav0o8N2RGfZAJMgAlEEQGXSEjjHIXaFrazj6Kli5tQWSAUN0vNE2UCcU/g6ofX4lhdR9xzYADBI5Co12DW4gacVH8YvE65JybABEJCYEXJ6bh1wQ9D0ne8dOq5IaB03iwQUkqM6zMBJhCLBFggFFurygKh2FpPng0TiCYCFosFb7zxxrAhV1ZW4sknnxT7+GbQ5/FHH30UN95447DtvFXwvB5ggZA3SnyMCUQpASXiIJqi06mDyThOCoUGm7Ja3SOcg9qRntQDjaZ/mrKh3IMG64+PMwEmwASiiQCJhGDPQkfn5GgKm2ONEwIsEIqTheZpMgEmgPte3oy126qYBBMICoH8rATkz9qMJueBoPTHnTABJhBaAtfN/Da+PuGi0A4S4717bggonS4LhJQS4/pMgAnEIgEWCMXWqrJAKLbWk2fDBGKJgMPhwEsvvYSf/exn6O7uxrJly/DCCy+gvLzc72l6Xg+wQMhvlNyQCUQWAaXiIFf0JuMEWC15rpf9HvWGamh1TdBrrcI5yIkkXRL0Gr2sw+Kgfqj4BRNgAjFMwG5PR0/XjBieIU8tWgmwQChaV47jZgJMQCmBV/9zEC/9e5/SZlyfCQwgMLk8Cbayf6HH0TLgHB9gAkwgMgncd/q9mJU3MzKDi5KoPDcElIbNAiGlxLg+E2ACsUiABUKxtaosEIqt9eTZMIFYIXD48GH84Ac/wMaNG5GcnIyHH34YN910E1QqyvXjf/G8HmCBkP8suSUTiBgCekOVcPhpgR1GWB39XX6GC9KbQEitNkGnrxM/jeJNx9LXhUathYbcNESxOW0gFSMXJsAEmECsEyCBkLFrGpzoff+L9fny/KKHAAuEometOFImwAQCI7BuVy3ufOmLwDrh1nFPYOEcDeoyXofd2T9tdtyDYQBMIMIJ/OGi3yEzISPCo4zs8Dw3BJRGG48CoePHj2P//v1eURUWFmL27Nn9zr311lvy9ZQpU3y+u3vLli1oaGhAUVERZs5kEVw/oPyCCUQgARYIReCiBBASC4QCgMdNmQATCDoBm82Gp556Cr/85S9lSrHly5dL16DS0tKgjOV5PcACoaBg5U6YwMgRIHGQ3lDbT8ijJBpPgVCva1Az1Gqj6FOZ2EjJuFyXCTABJhAtBOz2VJh6JgtRpCFaQuY444QAC4TiZKF5mkyACaCh1YiL732HSTABvwgYdBrMWdSCk9r3/GrPjZgAExg5AukJ6Xjlot+PXAAxMrLnhoDSacWjQOgXv/gFHnnkEa+orrjiCrzyyiv9zqWkpMDpdGLFihV4++23+53z9qKrqwvjx49HR0cHrr32Wvz2t7/1Vo2PMQEmEEEEWCAUQYsRhFBYIBQEiNwFE2ACQSGwc+dO6Rq0e/du0GfKRx99FDfccEPArkHuwXleD7BAyJ0OP2cCUUYgUHEQTdclEFKpzEJoRK5BDX6LjaIMH4fLBJgAE/CJgMORLN4rx8FuS/OpPldiAuEiwAKhcJHmcZgAE4gEAl+/5x00thkjIRSOIYoI5GYYUDRnJxqcu6Moag6VCTABF4F5BXNx99K7XC/50U8CnhsCSruJR4HQXXfdhd/85jd44403QPN3L3l5eSCnIPdCmzkajQZ09/fmzZsxdepU99MDnj/33HNYvXq1rM8CoQF4+AATiEgCLBCKyGXxOygWCPmNjhsyASYQJAImkwk///nP8etf/1p+JjzzzDPx/PPPS3fJIA3R143n9QALhPrQ8BMmEF0EgiEOohmTQEilskKrI9cgk3weqSSs1lzYrDnijhytDFGj6ZKCJrW6J1JD5riYABOIAQJOiC/5xHuPqWdCDMyGpxBLBFggFEuryXNhAkxgOAL3/H4jPtpRM1w1Ps8E+ghMKEmCauxb6HI29R3jJ0yACUQXgaunX4lVky6JrqAjMFrPDQGlIcajQOjGG2/E66+/jvb2dp/u3iaB0Lx587B161Z8+9vfHtIRyG63Y9q0aRgzZgw2bNjADkJKfyG5PhMYIQIsEBoh8CEalgVCIQLL3TIBJuATgfXr1+OWW27B0aNHkZiYKIVCJBpXqVSDtqdzBoN/WS48rwdYIDQoZj7BBCKXQLDEQTRDh0N8aSpSialUloiaMKX0sVmzZXxOp0bG5hTpfRyOBPG89w2ShEGGhAohbmqJqNg5GCbABGKPgN2eDmPXdDi/fP+JvRnyjKKRAAuEonHVOGYmwAT8JfDXD4/g2f/HLjD+8ou3dvNn6tCQ/Qbszsi6zo23deD5MoFACTy4/GeYNmpoJ5ZAx4iH9p4bAkrnHI8CocsuuwwbN25EVVWVT7hIIER3fdOd4CQSOnToEHJycry2XbNmDa677jqZwoxchNhByCsmPsgEIo4AC4QibkkCCogFQgHh48ZMgAkEQIBSzBYUFMj0tEq6mTRpErZt26akSV9dz+sBFgj1oeEnTCA6CARTHBRJM7bb03oFQfZEsQGvEW+MOjgd+i/dgrwrJlUquxAIHRcuQvWRNBWOhQkwgRgkQM5llGrMbkuB2VQegzPkKUUjARYIReOqccxMgAn4S2DP8Rbc+MQn/jbndnFCQKdRY/7iDlTq3o6TGfM0mUDsEtCo1fjTxf+DBC3dKMYlEAKeGwJK+4pHgdDZZ5+NhoYG7N7tmziZBEIrVqzATTfdhCuvvFKmD7v77ru9ol62bBnq6urwr3/9C/Pnz2eBkFdKfJAJRB4BFghF3poEEhELhAKhx22ZABMIhAAJhMh5UmkZN24c3nnnHaXNZH3P6wEWCPmFkRsxgfATyExpQaKhByZHE6yO7vAHEIIRrZa83pRhUAsxkBAEOQ3ih9yCvAuCvIVgSDwGvb7W2yk+xgSYABMIOgESCtlsWbBZRonHzKD3zx0yASUEWCCkhBbXZQJMINoJWGwOnHXHP0GPXJiANwJZqXqUzd+Heud2b6f5GBNgAlFGoCyzDE+c9asoizoyw/XcEFAaZTwKhObOnQtKBfbUU0/JVA60IZOXlzcoOhIILV++HP/+978xc+ZMdHV1SRchvV7fr83nn3+Oc889Fw8++CAuvPBC0DjsINQPEb9gAhFLgAVCEbs0fgXGAiG/sHEjJsAEopSA5/UAC4SidCE57PghoFY5kJFyCmlJ7dBobOgwd8BkM8UEAEoXRqIgOL0LgkhAZLWSHa+633xVcAiXISpqsECoHxp+wQSYQBgIOKWoMUF8WZgKq7lAPKaEYVT/h6B3WI3KCdsg77X+98wtR5oAC4RGegV4fCbABMJN4HuPf4y9J06Fe1geLwoIjB2TBN2Ed9HprIuCaDlEJsAEfCFw3thzcOOc7/lSlesMQ8BzQ2CY6gNOx6NAaOzYsaiv7+9YXl5ejocffhjf+MY3BjByCYTefvttvPjii/jxj3+M3/3ud7j66qv71aXUZZ988gkOHz4sHYpCIRAiYZPVagWt+2DF6XTKdGiJiYmDVZHHe3p6QOs/VAlnHaPRKAVbauEwNlgxm83iO3QNtFrtYFUkH2LgKeByb8AcmaPn7z4LhNz/QqL/+WACIX5/tIo9O35/5H9nBv8b9+XffV/+vR58BD4TCgKe1wMsEAoFZe6TCQSJALkGJSV0Q6e1QKO2y15jSSA0HCZK42MRm++ejkIaTYc4phab8slCIHScHYSGA8nnmQATGJQAXfDYLDY4hBuBSq2CVq+FWqSm8KVQOkQHpUV0pMJmLoHVrvOlWdjrqISkUiX+Y7+FsKMP+YAsEAo5Yh6ACTCBCCPwzJrd+L+PjkRYVBzOSBOYO82A5lGvCzG0eaRD4fGZABMIIoH/XvBDLC85PYg9xm9XnhsCSknEo0CIhD40b51OJ9OBbdmyBa+88gpow8ub8MddINTd3Y0JEyagqKgIGzdu7MN95MgRzJ49GzfeeCOefvppHDx4MCQOQsePHwfFMHXqVAy2wVlVVYW2tjZMnDhxUJEMCaSamppAwqjk5OS+ebg/aWlpQW1trZxrRkaG+6m+55RGo7KyEvn5+cjNze077v6EuB49ehTZ2dkoKKDvggcWm82GAwcOIC0tDSUlJQMrfHlk3759fa5Pg1U6dOiQSCPvwOTJkwerAubIHD1/H1kgNOifS1SeGEwgxO+P/P7I/86E59/rqHzjiOKgPa8HWCAUxYvJoccuAVc6MT0Jg4RrkHtJVenQbG5DuzU20oy5z83zuck4FlbLwItCveEktLoWIR4qEu5DGugTTgpOJBriwgSYABMYnoDVZEFLZQvaa1thNYm7IhxO+UPZDenLM41Og5TcVGSX5iIpY+g75XpH0+D/Z+894OS4ynztf+eeHDVJmhnNKEcrWnK25MxiMBhMsjEsGMy337Jc2OWSF1iD18QLXhYDa7jfghecAOcoW8KWg4JlWbJkZY1GM6NJmtg5fXVK7vFMTU+pq8N0ddW//JO7u86pU+d93p5QU0+/xxorg8NSjYGRakSiYqnE3G6iapBF+p8UGjcDE6AgZODkMjQSIIGEBDbtPImv3/1qwjbuNB8BuyR3n7vehzbXQ+YLnhGTgAkI/OKaO1FXPPWSTiZAkLEQlTcEtA5sRkEoEaO9e/fKy4gJaej48eMTKvSMF4TEsd/61rfw4x//GE888QQuvviM6Pb5z39elox2794NUaEoW4LQwMAAgsGg6pJoQtoRElF9fX2iUOV9okKAkIimEnZEJ3Gevr4+1NTUTFmxR4g4QjaqrKycwEx5YiEaiZuyguVUmxhHVD0qKyubqgt6enrkuYjzTbWJOYsPjE0lLInjyJEcle9HCkJTfUXl5/6pBCF+f+T3R/6cmZ6f1/n5nSN/Z628HqAglL+55MwzTEDUi1DeR1W+zvApJw0nqgSVFYnlxIYniUHxzrW2YtikiR3zdxtaEgoF6+TqQbGotASZYnMVHIPDeQoBX6tUErYGLvdR6XWPohdfkgAJkMBEAkIG6j3Sjf7jfQiMBhDw+DE6Mir/0UeUoBblp8UfmcrKy+AqdMNV7EZJTQnqFzWgoExdFHLYHCiy16F3sBb+oHqJ7omzyt4rIQlN98+x7EXDkRMRoCCUiAr3kQAJGJlA35Af1371Mf58M3KSk4ytrMiB+eceRCe2JXkEu5EACeQTgZqiGfjlu36RT1PW9VyVNwS0TpaC0DvEPvOZz+Cee+7B1q1bsWLFirEGpSAkZJfFixfjyiuvxH333SdLNKJaz8aNG3H//ffLx2VLEBqbFJ+QAAlklAAFoYzizPlgUwlCOZ8YJ0ACJEACWSCgvB6gIJQFyBwyPwlUlvTB7fRlZfJDngr4AoVSJYeJy9aIm7flJf0ocHrl81os0tqeUtUg69vLiSWajBCESq0ueCIBQ0tC0ai0bE/MmQiBxMcnVcYIStWF6iWJaBYcrg4uM5aQFHeSAAnECXgHvWjfdRzD3cMY6DkNUXJalK8WYpD4Jz7RZpFK7oj158UvS7W1tVh+znLUz2yQJKFS1MyTSmu2Ji6FLc5hsUiVh1AKUflMfL/P1SaWExMLinEzBwEKQubIM6MkARKYSOBjtz2DI52sHjqRirleza4vROHiZzEUbTdX4IyWBExE4PKWjfjcmltNFHF2Q1XeENB6NgpC7xC7/fbbcdttt+HBBx/E1VdfPdagFIREw6c+9SlZDtqzZw/uvfdefPe738WTTz6Jiy66SD6OgtAYPj4hgbwgQEEoL9KU9CQpCCWNih1JgAQMQEB5PUBByABJZQiZIVBX2YEi92hmBlOMIipKjPjKJOHFArs1jLLiAbgcfrmX0xGAqByU7BYXhER/o0tCZ2MiBKKArwVW+wgFobPBYjsJmJjA6OlRHH/1CE539OPIoSN45ZVX0N/fj9HRUVkMUqIRopD4hUmUmp43bx7OO/88lM4oQ51USahuwdTlt6PRIgR98xAKlyiH5GsSyAoBCkJZwcpBSYAEdE7g5w++gf/ZdEjns+T0skVg5WI3BuvuRzB25kM22ToPxyUBEsgtgS+u/wIuaDw/t5Mw0NmVNwS0hkZB6B1iN998Mx544AHs378fTU1NYw2JBCGxlNj555+PL3/5y7IgVF5ejpdeemnsGApCYyj4hATyggAFobxIU9KTpCCUNCp2JAESMAAB5fUABSEDJJUhZIZANgWhYNiJSMQuTzSZKkFqEY0XhEQ/s0tCAb8kCFn90hJjXWrY2EYCJGBSAqJy0PFtR9F1uANv7n1zTA4Sa82fbROiUFFRERYtWoQNGzagetYMNK5oRtXs6oSHCkHI750nfb+fXkGIS4klTIcpdlIQMkWaGSQJkICCwCv7uvGF/3hRsZcvjU7AJv1etm5dECcK/yx98Mbo0TI+EjA3AXEd9ttrf4NSV6m5QWQweuUNAa1Dm00Q8nq9cLlcsNlsE1Dt2LEDl112GcRSYdu2TVziMpEgJA6+5ppr8Oqrr8qVi++++258+MMfHhuTgtAYCj4hgbwgQEEoL9KU9CQpCCWNih1JgAQMQEB5PUBByABJZQjpE5hb5oW9sBchy5mqPumPmL0RlIKQOJOZJSGxFJnFIpYGCmQPOkcmARLISwJBXxBd+zpw/LWjeGvfW9i0aRMGBwc1xyJ+eVq2bBmuvuZqVDVVo/X8+XAXuyaNIwQhn3cBopGiSW3cQQLZIEBBKBtUOSYJkIDeCQSCEVz5zw8jEI7qfaqcX4YIlBQ4sGjdUXRY3qm6kKGhOQwJkIAOCbSUz8aPrviBDmeWv1NS3hDQGonZBKEXX3wRn/vc5/CJT3wCixcvRigUkj9sdNddd8lLk2/ZsgVLly6dgHEqQeiJJ57ABz7wAdTX18tVhxwOx9hxFITGUPAJCeQFAQpCeZGmpCdJQShpVOxIAiRgAALK6wEKQgZIKkNIn8DKGcOIuPrhiQbTHyzLIyQShMQpzSwJZRk5hycBEshTAkNdgzi4eT+OHTqGhx56CL29vSlHUlJSgvPOOw8XXXoRaqVlxmavbZ00VjRSLAlCC6VlywomtXEHCWSDAAWhbFDlmCRAAvlA4PM/fwHb3urJh6lyjmkSaKwtQPmSLTgdO5bmSDycBEggXwi8d8F78PHlN+bLdPNinsobAlonbTZBSIg71157LTo7O8dQiWpCV1xxBe644w7MnTt3bH/8yVSCkKhevHLlStx000340pe+FO8uP1IQmoCDL0hA9wQoCOk+RZomSEFIEy52JgESyHMCyusBCkJ5nlBOPzMEjCAICRKUhDLzfuAoJEAC+U8g6A2ic+9JvPXSPrz88svyp/2SWVZsqsitVisaGxtx3XXXoXFBMxZsWARX0cQqQhFJEPJ7F0mCkHuqYbifBDJKgIJQRnFyMBIggTwi8IdnDuI//rInj2bMqaZCYPmCAozOfACB2Ggqh/MYEiCBPCXwzYu/jhW15+Tp7PU5beUNAa2zNJsgJPhEo1EcO3ZM/qBRaWkp5syZIy87ppUd+5MACRiHAAUh4+RSREJByFj5ZDQkQALqBJTXAxSE1Hmx1QQEHNYollePIOQ8ndcVhOKpoiQUJ8FHEiABMxMY6RnGwS1v4eDeA3jggQcwMjKSNg7xicBzzz0Xl199OWae04T6RQ0TxoxESuD3SIJQbKI4NKETX5BABglQEMogTA5FAiSQVwQOnRzCTd9/Nq/mzMkmT8BqAdatjaK9+AGkI3gnf0b2JAES0AsBp82J//veu+Gy8ZoqkzlR3hDQOrYZBSGtjNifBEjA+AQoCBkrxxSEjJVPRkMCJKBOQHk9QEFInRdbTUBgfrkHs0r86IsNG0IQEimjJGSCNy5DJAESUCUwcPI09jzxOvbv248///nPGbm5JKoIiU8N3njTjahsrpKqCC2eMIczgtBiSRByTtjPFySQLQIUhLJFluOSAAnonYC0Wgfe/ZXH0D/i1/tUOT+NBIrcdixbdxLt1i0aj2R3EiABIxBY27AGX7ngy0YIRVcxKG8IaJ0cBSGtxNifBEjAiAQoCBkrqxSEjJVPRkMCJKBOQHk9QEFInRdbTUBALC9WWygtRRMZMYwgJNJGScgEb16GSAIkkJBANBJF37FevP74Tmzfvh1btmTuBpNYZuyjH/soamfXYem7Jpa9F4KQz7NEkpEcCefFnSSQaQIUhDJNlOORAAnkE4F/++8deOyVtnyaMud6FgIN1W5UL38J/bFDZ+nJZhIgAaMS+Ie1n8PG2RuMGl7O4lLeENA6EQpCWomxPwmQgBEJUBAyVlYpCBkrn4yGBEhAnYDyeoCCkDovtpqAgFEFIZE6SkImeAMzRBIggUkEwsEwug+ewq4nd8hy0O7duyf1SXVHQ0MDrr/+esxe3IIl1yyHqCoU384IQkslQcge38VHEsgqAQpCWcXLwUmABHRO4MU3uvDPd72k81lyeskSWDq3EP7mv8AXHUz2EPYjARIwGAGrxYq7r/01Sl2lBoss9+EobwhonREFIa3E2J8ESMCIBCgIGSurFISMlU9GQwIkoE5AeT1AQUidF1tNQEAIQnb3EIYifkQQ1X3EtbZilFqTX4udkpDuU8oJkgAJZJhAOBDGqQNd2PXUDjz//PPYu3dvxs5QX1+P973vfZizbC6WXC0JQrbxglApfKPLEMM7+zJ2Yg5EAgkIUBBKAIW7SIAETEMgGI7imi8/Ao8/bJqYjRioRQpq3RoLOkrul67GI0YMkTGRAAkkSWDRjEW47dLvJNmb3bQQUN4Q0HKs6EtBSCsx9icBEjAiAQpCxsoqBSFj5ZPRkAAJqBNQXg9QEFLnxVYTEChxhFFR1gWH05sX0WoVhERQlITyIrWmnqTL7oL4tKAv5DM1BwafGQKRUAQ9h7ux64kd2Lp1q7zMWGZGBmbOnIkPfehDmDlvlrTE2ApYxF2tt7dIhIJQnAUfp4cABaHp4cyzkAAJ6JfAt367DU/vaNfvBDkzVQIFThtWrO/GCdsm1X5sJAESMAeBm8+5Ce+Zf605gp3mKJU3BLSenoKQVmLsTwIkYEQCFISMlVUKQsbKJ6MhARJQJ6C8HqAgpM6LrSYhUFfZgSL3aF5Em4ogJAITktBxfzcGQ568iJOTNC4BIQMV2AsmBGiz2BCQ3qOjwfz4OpwweemF0+ZEtascFVa3sinp14NhDzr8/Un3Z8epCcRiMZxu68fux1+DWF7siSeemLqzxpbm5mZ8/OMfR2VjlVxBaPzhQhDyji6Xdo2zhsZ34HMSyDABCkIZBsrhSIAE8o7A87s68NXfvJJ38+aEgdpKN+pXbENvbD9xkAAJkIBM4BfX/Bx1xXWkkQUCyhsCWk9BQUgrMfYnARIwIgEKQsbKKgUhY+WT0ZAACagTUF4PUBBS58VWkxAodHlQVdoLpyOg+4hTFYREYJSEdJ9ew01wKhnIZrVNitUb8uatIOSWhKdZBdUQX5+pbsFYGJ2B05SEUgWoOG6wcwD7nt6Dg28dxJ/+9CdEo+kvIelwOLB48WJ84IYPYMa8OrSunzPhrBSEJuDgi2kgQEFoGiDzFCRAArom4A9GcLW0zJh45JY/BBa1FCLc8jC8Mcrx+ZM1zpQEskugqawRP73yx9k9iYlHV94Q0IqCgpBWYuxPAiRgRAIUhIyVVQpCxsonoyEBElAnoLweoCCkzoutJiFgsURRV9GJQrf+q+ukIwiJdFISMsmbOkdhKoUgURkokQyUaHpmF4QEk57gEA55OxPh4T6NBLyDXhx79QgOvvYWnnrqKRw9elTjCJO7V1dX46qrrsLyteeg9by5KKsvn9DpjCB0zoR9fEEC2SRAQSibdDk2CZBAvhD4mlRB6DmpkhC3/CCwbpUNXeX3ISLJ8dxIgARIIE7gQ0s+iBsWfzD+ko8ZJqC8IaB1eApCWomxPwmQgBEJUBAyVlYpCBkrn4yGBEhAnYDyeoCCkDovtpqIQL4sM5auICRSSknIRG/sLIaqlIHEqbQIQcqpURCiIKR8T6TzOhqJovdoD/Zv2ot9+/bh4YcfTquKkKgetHDhQlz7nvegpqUWCzYuhs1unTDFSKTs7SXGJuzmCxLIGgEKQllDy4FJgATyiMAzO9rxzd9uy6MZm3OqLun3ptXnnUab/SlzAmDUJEACUxKwSCs033n1z1HP5cWmZJRug/KGgNbxKAhpJcb+JEACRiRAQchYWaUgZKx8MhoSIAF1AsrrAQpC6rzYaiICBW8vM+bS+TJjmRCERFoPebukaiWDJsowQ80EAZfdjQLpn9jSkYESzSWfBaFKZylaC+rgkiompbNxmbF06E0+1jvgwbFtR9D25nFs3boV27dvn9wpiT0W6S/W9fX1uPbaa9GyoAWz181BZWPVpCMpCE1Cwh1ZJkBBKMuAOTwJkEBeEPD6w/IyY8Fw+suJ5kXAeTjJ6jIXmla/ju7YG3k4e06ZBEgg2wTmVc3Dv2/8XrZPY+rxlTcEtMKgIKSVGPuTAAkYkQAFIWNllYKQsfLJaEiABNQJKK8HKAip82KriQhYEIOoIqT3ZcbSFYROBvoxGPbAFwkgGGVZdxO9xTMSaqGjEMXO4oyMpRwknwWhGmc55hXWK0NK6TWXGUsJW8KDRBWh0+39OLL1IDraOmRJaM+ePQn7qu2cMWOGvLTY/EULULeoHo0rmqXqQZNlMApCahTZlg0CFISyQZVjkgAJ5COBr/zqZWzezWVa9Zi7+U2FsMx9DKOxHj1Oj3MiARLQAYFPrfwk3jX3Gh3MxLhTUN4Q0BopBSGtxNifBEjAiAQoCBkrqxSEjJVPRkMCJKBOQHk9QEFInRdbTUYgH5YZS1UQohhksjdzlsK1WW0QklCBvSDjZ6AgdAYpBaHMvrXCwTB6j/Tg6KuH0N3Zjddffx07duxAOHx2QdJut6OpqQkXX3wxmlqaUTunVvr0ewtcRa6Ek6QglBALd2aRAAWhLMLl0CRAAnlF4IU3uvAvd72UV3M2w2TXnuNEd+W9iCBohnAZIwmQQAoExN8YfvPuu1DmKkvhaB6SLAHlDYFkj4v3oyAUJ8FHEiABMxOgIGSs7FMQMlY+GQ0JkIA6AeX1AAUhdV5sNRkBIwpCFINM9iaehnCzVUWIgtCZ5FEQyvybWJaEjvag/bXj6O/ux4kTJ/Dmm2/iyJEjCIVCk05os9lQV1eHc845B83NzaifVY8Zc+vQsGQmCkoTy3GxmAtBfyOCwcxUkpo0Ke4ggQQEKAglgMJdJEACpiQQicTwnq8/jv5hvynj11vQDpsVa9ePoM35qN6mxvmQAAnojMCq+pX4+oVf1dmsjDcd5Q0BrRFSENJKjP1JgASMSICCkLGySkHIWPlkNCRAAuoElNcDFITUebHVZASMJAhRDDLZm3caw6UgNBl2JpcYC8bC6AycRoe/f/KJuCdlAuFQGEOdg+g5dAo9IrEMIwAAQABJREFUkiw0ODCA4eFheDweDA4Owu/3w+FwoLS0FGVlZSgqKkJFZQUqaivRsHQWyhsq4CpOXDlITCoSLYLfuwDRSFHKc+SBJKCVAAUhrcTYnwRIwMgE7vzzHtzz7EEjh5gXsVWWONG65k104bW8mC8nSQIkkFsCX1j3eVzUdGFuJ2GCsytvCGgNmYKQVmLsTwIkYEQCFISMlVUKQsbKJ6MhARJQJ6C8HqAgpM6LrSYjYBRBSMhBQjAIRc++hI7JUsxwM0AgW8uMsYLQO8lhFaF3WGTyWTQSRWDUj9G+UZw+0Y/BjtPwe/xS1Z8gIpEIrFarLAm5C90oqSlF1ewZKJlRgoKyQtgcNtWpRCIl8HmWIhazq/ZjIwlkkgAFoUzS5FgkQAL5TuBY1zA+8m/P5HsYeT3/ObMK4Zz/JIZjXXkdBydPAiQwPQTcdjfuvvY3cNun/iDG9MzE+GdR3hDQGjEFIa3E2J8ESMCIBCgIGSurFISMlU9GQwIkoE5AeT1AQUidF1tNRMAixVpb2YEi96iuo661FaPUmviPJ/GqQd5IgHKQrrOY/5PLRhWhfBWEyh3FaHHXoNCW+OsylWxTEEqFWvLHCFEo6Akg6JPEoFAEorpQNByFRRKE7JIIJGQgu9shVQxyy6+TGTkSKYV3dLnUVfw04UYC00OAgtD0cOZZSIAE8ofAp3/wPPYeP50/EzbQTFcvdaGv5l6EYwEDRcVQSIAEskng8tbL8LnVn83mKTj22wSUNwS0gqEgpJUY+5MACRiRAAUhY2WVgpCx8sloSIAE1AkorwcoCKnzYquJCFgtUdRWdKLQ7dF11IkEIYpBuk6ZISeXjSpC+SoIZXJ5sfibhcuMxUlMz2M0GoNU+kc+mZCELCk4PpFI2duC0PTMmWchAUGAghDfByRAAiQwkcBfXjiGO/7Ipa0mUsnuK7vVgnPX+9Dmeii7J+LoJEAChiPwg8v/HXMqWg0Xlx4DUt4Q0DpHCkJaibE/CZCAEQlQEDJWVikIGSufjIYESECdgPJ6gIKQOi+2moiA3RZCTfkpFLi8uo56vCBEMUjXqTL85DJdRUirIOSSypBbLVb4Qr6csc5G9aB4MKwiFCeRH48UhPIjT0abJQUho2WU8ZAACaRLYNQXwru/8hj8UoVAbtknUFbkwPxzD6IT27J/Mp6BBEjAUATmVM7BDy673VAx6TkY5Q0BrXOlIKSVGPuTAAkYkQAFIWNllYKQsfLJaEiABNQJKK8HKAip82KriQhUlfaitHAIVqu+/5gsBKHh0CgGwx5wKTETvUF1GGqmqwidTRASQlCBvWCMhM1iQzASxEhwZGzfdD/JRvWgeAwUhOIk8uORglB+5Mlos6QgZLSMMh4SIIFMEPj277bhye3tmRiKY6gQmF1fgKJFmzAYI2sVTGwiARKYgsDn1nwWl7dcNkUrd2eagPKGgNbxKQhpJcb+JEACRiRAQchYWaUgZKx8MhoSIAF1AsrrAQpC6rzYaiICdZUdKHKP6j7icDiAkZAHoWhY93PlBDNHIByaIQ9md/RmbtAMjJTJKkLjBSGlDCSmKoQgISWN30T1oFwJQtmsHiRipCA0PtP6fh6LOREMNEj/GvU9Uc7OcAQoCBkupQyIBEggAwReP9yHW3+yJQMjcYipCKxcVIDB+vsQjOm7+u5U8+d+EiCB3BIQf0f4zbvvgtvuzu1ETHR25Q0BraFTENJKjP1JgASMSICCkLGySkHIWPlkNCRAAuoElNcDFITUebHVRATyRRAaDgzDH/abKDMMVRCIiwdOl74+oZvJKkLRWATh6JkKXolkoETvhGgsCo8kzOVimbFsVg+Scx4LozNwGh3+/kShc5+OCESjhfD75iASLtfRrDgVMxCgIGSGLDNGEiCBVAjcfPsmHGgfTOVQHqNCwGqxYP26EE4UPohYTKUjm0iABEhAhcDVc6/CLSs/pdKDTZkmoLwhoHV8CkJaibE/CZCAEQlQEDJWVikIGSufjIYESECdgPJ6gIKQOi+2mogABSETJTsPQw36mxCJFsPlPiEtg6evSleZrCKUSmp8YamKUGD6lxnLtiAkWLCKUCrviOk/Jhopgd+7WPoadU7/yXlGUxOgIGTq9DN4EiABFQKPv9qG7/5/O1R6sEkrgZICBxavO4aTlq1aD2V/EiABEphA4CdX/hDNZc0T9vFFdgkobwhoPRsFIa3E2J8ESMCIBCgIGSurFISMlU9GQwIkoE5AeT1AQUidF1tNRICCkImSnYehBoQgFK6CUxKE7HZ9VZQxoyAklheb7a5Bkc2V1XcTBaGs4s3Y4JFIKfye5YjGLBkbkwORQDIEKAglQ4l9SIAEzEggFI7ium88gf5hVl7NRP4bawpQvmwLTkePZWI4jkECJGBiAotmLMJtl37HxARyE7ryhoDWWVAQ0kqM/UmABIxIgIKQsbJKQchY+WQ0JEAC6gSU1wMUhNR5sdVEBCgImSjZeRiqWGIsFKyRBKF2OBw9uoogk8uMpRJYLioITUf1IMGCglAq74jpPcZutcOBWvQMtE7viXk2EpAIUBDi24AESIAEpiZw9+P78ZtH903dgS1JEVg+vwCjsx5EIDb9FTuTmiA7kQAJ5BWB/33Bv+DchrV5NWcjTFZ5Q0BrTBSEtBJjfxIgASMSoCBkrKxSEDJWPhkNCZCAOgHl9QAFIXVebDURAQpCJkp2HoYajboRDMyCeHS6T8JuG9RVFLmsIhSNReEJeeAL+aaFyXRVDxLBUBCalpSmfBIhB5W6ShAOl6KjrynlcXggCaRKgIJQquR4HAmQgBkInB4J4LqvP46gVE2Im3YCoi7i+nNjaC9+ADHp921uJEACJJAugYaSBvz8qp/CYmHl1XRZaj1eeUNA6/EUhLQSY38SIAEjEqAgZKysUhAyVj4ZDQmQgDoB5fUABSF1Xmw1EQEKQiZKdp6GGpeEYlGXLAnZbEO6iSSXgpCAMJ1VhJySFFIgLS1WYS/GTFdlVnNAQSireNMe3GFzosJdDn+wgIJQ2jQ5QCoEKAilQo3HkAAJmInAbf+9A4++0mamkDMSa6HLjuXrT6LduiUj43EQEiABEhAEPrv6FlzZegVh5ICA8oaA1ilQENJKjP1JgASMSICCkLGySkHIWPlkNCRAAuoElNcDFITUebHVRAQoCJko2XkcaihYK1cSstq8cLo6YLMN6yIaMwlCceBCFGpwVWVVEqIgFKetv8d49SDECnF6pAoj3jL9TZIzMjwBCkKGTzEDJAESSJPAoZODuOn7m9IcxVyHN1S7Ub38ZfTHDporcEZLAiSQVQJl7lLc9a7/hFP6kAW36SegvCGgdQYUhLQSY38SIAEjEqAgZKysUhAyVj4ZDQmQgDoB5fUABSF1Xmw1CQGrJYraik4Uuj26j3g4MAx/2K/7eXKC2SEQizkR9DciFKqBzT7wtiQ0kp2TaRg114LQdC8zFkeTbUkoGAujM3AaHf7++Cn5qBMConpQsb0G/cMz4AsUIBqz6WRmnIaZCFAQMlO2GSsJkECqBP7hp3/DzkO9qR5uquOWzC1EoOkv8MX0tZyxqZLAYEnAoAQ+tOSDuGHxBw0anf7DUt4Q0DpjCkJaibE/CZCAEQlQEDJWVikIGSufjIYESECdgPJ6gIKQOi+2moRAZUkvyoqGYLVGdB8xBSHdpyjrEzyz1FgTwqEq2B39siRkteZObnPZXSh2FMNmza0gMZ3LjI1PcrYlIVYRGk9bH89F9SCXtRqDI7MQCLoRg0UfE+MsTEeAgpDpUs6ASYAEUiCwbX8PPn/nCykcaZ5DxG8y61Zb0FF6P6LQ/zWxeTLDSEnAGARcdqdcPajUVWqMgPIwCuUNAa0hUBDSSoz9SYAEjEiAgpCxskpByFj5ZDQkQALqBJTXAxSE1Hmx1QQELJYY6io68qJ6kEgHBSETvCmTCFGWhPySJBSugtPdBqezM4mjstMl19WD4lHlShAS58+mJERBKJ5hfTzG5aCB4UYEQm59TIqzMC0BCkKmTT0DJwES0Ejglh9uxp5jrMiYCJvbacPK9T04YXs2UTP3kQAJkEDaBK6ecyVuWfXptMfhAKkTUN4Q0DoSBSGtxNifBEjAiAQoCBkrqxSEjJVPRkMCJKBOQHk9QEFInRdbTUCgsqQPpUWDUvWT/PikJAUhE7wpkwwxFKxHQJKELNISeUIScjh6kjwys90oCJ3hmS1JiIJQZt+v6Y4WixYj5F9EOShdkDw+IwQoCGUEIwchARIwAYFX9nXjC//xogki1RZibYUb9Su3oze2T9uB7E0CJEACSRJw2Oz4j6t/jurC6iSPYLdsEFDeENB6DgpCWomxPwmQgBEJUBAyVlYpCBkrn4yGBEhAnYDyeoCCkDovthqcgEVaGKauMn+qB4l0UBAy+JtSQ3ixmFMWhIQoZLX6cyIJ6WV5MYEtGovCE/LAF/JpoJjZrtmQhCgIZTZH6YwWjRbB752HSKQknWF4LAlkjAAFoYyh5EAkQAImIPCpHzyPN4+fNkGkyYW4sKUQ0ZaH4YmxslJyxNiLBEggFQJXSdWDPsPqQamgy+gxyhsCWgenIKSVGPuTAAkYkQAFIWNllYKQsfLJaEiABNQJKK8HKAip82KrwQnkW/UgkQ4KQgZ/U2oML77UWChUmxNJSC/Vg+LYcrnMWHwOmZaEKAjFyeb+MRIphc+zBLGYPfeT4QxIQCJAQYhvAxIgARJInsBLe0/hi/+5NfkDDNxz3Uo7uiruRSQWNnCUDI0ESCDXBBw2x9vVg6pyPRXTn195Q0ArEApCWomxPwmQgBEJUBAyVlYpCBkrn4yGBEhAnYDyeoCCkDovthqYgEWK7Uz1oNG8ipKCUF6la1omm0tJiIJQ4hQLSajA5kKFvRgzXZWJOyW5l4JQkqCmoVsMdoSCNQj45kzD2XgKEjg7AQpCZ2fEHiRAAiQwnsDf3/Ec9rUNjN9lqudOuxWrzxvACfuTpoqbwZIACeSGwDVzr8KnV34qNyfnWScQUN4QmNCYxAsKQklAYhcSIAHDE6AgZKwUUxAyVj4ZDQmQgDoB5fUABSF1Xmw1MIF8rB4k0kFByMBvyjRCCwYbEPQ3y5VNxi83FomUyUJDLOqC3dkLh6M7jbNMPFRPy4vFZ6aHZcbicxGPmagmREFoPNHcPxdfU97R5RmbiJBVYxkbjQOZjQAFIbNlnPGSAAmkS+DFPV3451++lO4weXl8dZkLTat3ozu2Oy/nz0mTAAnkFwFRPegX19yJqoL0PjCTX1Hrd7bKGwJaZ0pBSCsx9icBEjAiAQpCxsoqBSFj5ZPRkAAJqBNQXg9QEFLnxVYDE6iv7EChO7+qB4l0UBAy8JsyjdCiMZckCDVJMlCdPIqQhKxWH6IxJ2IRtyQg2OTXTvcJSRLqSeNM7xyqt+pBYmaBSACjQQ8iUf0sl5CuJERB6J33nB6eycuMjS6TvqasGZkOBaGMYDTtIBSETJt6Bk4CJJAiASHlfvL2TXirfTDFEfLzsPlNhbDMfRyjscx9WCA/SXDWJEAC00XgXXOvxqdW/v10nY7nOQsB5Q2Bs3Sf1ExBaBIS7iABEjAhAQpCxko6BSFj5ZPRkAAJqBNQXg9QEFLnxVaDEsjX6kEiHRSEDPqmzEBY45cam2o4p+sEXO62qZo17dejIOQL+zASGNEUx3R0TkcSCsTC8Erik9iGwh50+PunY8qGP0c4FIanf1T+F/QGEYtKGp1TWhqurAAlM0rhLnEnZBCNFsIvLTEWCZcnbNeyk3KQFlrsm4gABaFEVLiPBEiABNQJvLT3FL74n1vVOxmode05TnRX3osIggaKiqGQAAnomYDT5pSqB/0clawepJs0KW8IaJ0YBSGtxNifBEjAiAQoCBkrqxSEjJVPRkMCJKBOQHk9QEFInRdbDUqgTqoeVJSH1YNEOigIGfRNmaGwwuFqBKRKQtFIUcIRRVWhTFQR0uPyYiJgvQpCYm7pSELieLGNl4XO7Jn6/0NhryQT9U3dwYQtsVgM3kEveg6eksWgUCCEcCCMaDgir/NlsVlgc9jhcDvgKnKhvLEK1S0zYLO/Uy1IVA4Kh6rh9y5Ii6DdEoPbHsVoyJbWODzY3AQoCJk7/4yeBEggdQL/+LMXsP1AZqpqpj6L7B7psFmxdv0I2pyPZvdEHJ0ESIAEFATet/A63Ljso4q9fJlLAsobAlrnQkFIKzH2JwESMCIBCkLGyioFIWPlk9GQAAmoE1BeD1AQUufFVgMSyOfqQSId0ykI1bsqUeEolt8FnYHTGAzl35JsBnwLTwpJLJUQkiqgjErVUHyDIQS8BYjFSmEvKJWqodTAVVIFq905dlwmqgjpsXqQCFDPgpCYXyYkITFOMltvaBgHPR3JdDVFH1ElqOfQKfS39UlfJ14Mnh7E0aNHcfLkSXg8HulrJgan04nq6mrMnj0bsxpnoaBEqiZUU4aa+XUob3inYlAkUgavtMwYIGoApbZZJUHIKh0ejqY+Rmpn5lFGIkBByEjZZCwkQALTSeDgyUF84vbnpOV4xW/SxtsqSpxoXbMPp7DTeMExIhIgAV0TKHWVytWDxN8MuOmHgPKGgNaZURDSSoz9SYAEjEiAgpCxskpByFj5ZDQkQALqBJTXAxSE1Hmx1YAE8rl6kEhHtgShBkkGKn9bBoqnvdDqgstql18e8nahJzgYb+KjDghEQhEMdgzIwkNg1I+wX6qGIu2LSsVQADusNoe0ZFIB7NK/gsoGlM9aAnfZDFitHmmZsROwO1KvLkNBKPU3wHRJQhSE3smRb9iH9l1t8tdLT2c3du7cifb2doyMjMDr9SIUCsmdrVYrxC9KxcXFqKqqwqJFi7Bs+TIUVRXLklDdgnq5XyxmRyhYK1XrapFeaxd8ih0RzCr2462BxJW+3pk5n5GAOgEKQup82EoCJEACagRu++8dePSVNrUuedk2Z2YhnAufwnC0My/nz0mTAAnkN4FbVn0KV8+5Kr+DMODslTcEtIZIQUgrMfYnARIwIgEKQsbKKgUhY+WT0ZAACagTUF4PUBBS58VWgxHI9+pBIh2ZEIQaXFWSDDTxxvR4GShR2ikIJaKSu33D3UPolpZJGukehnfYg55TPTh+/Dh6e3sRCAQkCciKkpISzJo1C42NjSirnAFnsSSBzVqMiqaFKCzrh9N1MqUA9Lq8mAhG7xWE4sCFJCQqdM2SvhaztVEQOkPWN+TDideOo+doN44ePoIXX3wRPT098Pl8quhtNhsqKiowb948XHTxRaiqr0b9kpkYLwm5UI1qWwMODhQipkEUctuiKHOF0O11qc6BjSRwNgIUhM5GiO0kQAIkMDWB3kEfPvjtp+APynb91B3zqGX1Uhf6a+5DKObPo1lzqiRAAkYhMLN0Jn565Y9gs3AZZb3lVHlDQOv8KAhpJcb+JEACRiRAQchYWaUgZKx8MhoSIAF1AsrrAQpC6rzYaiACosZDXeVJFLo9eR2VVkEoFRkoESAKQomoTP8+sQxS//FedL7ZgZHeYRw6cAh79+5FX18fRkdH4ff7EYlEYLFY4HA4UFRUJItCzc3NWLZsOWpnNqFs1kLUL6pC6Qx1QWKq6PRaPUjMN18EITHXGc4yzC9sEE+zslEQgrTcXgBdezvQvqdN/lrZtGmT/LUivo6S3QoKCrB48WJsvGwjaprq0LxmtrTcWIV8uN0qSUS2ClRaGzAasuPwYCHCMfWKQqJ6UGOJT5KKihA5S99k58h+5iVAQci8uWfkJEACmSHw60f34beP78/MYDkcxSatW7punR9t7r/mcBY8NQmQgNkJfOWCL2NtwxqzY9Bl/MobAlonSUFIKzH2JwESMCIBCkLGyioFIWPlk9GQAAmoE1BeD1AQUufFVgMRMEL1IJEONUGowS1VBrJrqwyUbIo9kQCO+3swGBpN9hD2ywKB3qM9OLn7BE4d78Lrr78uy0GDg4NjSyQlOqWQhcQfc2bOnIk1a9Zg4ZLlqG6tQcPSGqmSUGGiQ1T36VUQCkjv0dGgB5FoWHX+emnMtiAUjIXRGRhAhz/1peT0wiqVecSiMQx0nMbhFw7g2KFjeOSRR+TKQamMJX55WrFiBa6+5mo0ts7ExisvlAU8MVYo4sBpTxn6hoPokpYv8w52IxSQRFTJQbI53XCVVKGocqb8KL4WK9whzCv34NVT5alMhceQwAQCFIQm4OALEiABEtBMwBcI4wP/+hT6h/O34k5ZkQPz1x5Cp+VVzfHzABIgARLIFIGlNUvwnUv+NVPDcZwME1DeENA6PAUhrcTYnwRIwIgEKAgZK6sUhIyVT0ZDAiSgTkB5PUBBSJ0XWw1CwGYNo7aiCwUub95HNF4QEqJGjaMMhVaHHNfZlglLN3hWEUqXYHrHC9mhfdcJnDhwHDu278Abb7whVw1KdlS73Y7a2lqcf/75WL7yHHm5pIbFM2F32ZMdAlxeLGlUqh3LpCX+Wty1KLJld4kpM1cR8g150bbjGA7vOoQtW7bIXy9aKgcpE1hZWYkNGzZg/XnnYdHK9ShrXoFwOIKR/k60H34TnuEhhCUxKBL0IRo5I6lZpApDNodL+horgqOwFPWNLVixpAU9gSL0+ZzKU/A1CWgmQEFIMzIeQAIkQAKTCDy09Rhuv+e1SfvzYcfs+gIULXoOg7ET+TBdzpEESMCgBMQHIX5w2e1orWg1aIT5H5byhoDWiCgIaSXG/iRAAkYkQEHIWFmlIGSsfDIaEiABdQLK6wHTCUJi4Y/kFxZRh8nW/CFQVdqD0sJhWK2R/Jn0FDMtgQOut9dzt1vtKJDkIDusU/TO7G4KQpnlqWW0gMcvVQ5qx4k9x7HtlW145ZVX4PFoXy7ParWisbERF110EZasXIrGFU2omVeX9FRsQnh4+/0nDnLZ3SiQ/ulh4/Jik7NgZkFosHMA+5/Zi4NvHcSDDz4oL783mVDye2w2G+bPn48PfvAGVM6aj7rlV6L38HaM9hyDb7gP/b09OHToEE6dOiWfS8hITqcTVVVVaG1tRVPzbBSVlGJGbT0cs9agsHp28idnTxKYggAFoSnAcDcJkAAJaCAQlaoO3nz7JhzqGNJwVO67rljkxlD9/QjG8v9DMLmnyRmQAAmkQ+CK1stw6+rPpjMEj80yAeUNAa2noyCklRj7kwAJGJEABSFjZZWCkLHyyWhIgATUCSivB0wjCDksUYRjVspB6u8PQ7YaZWmxeHJqbcUotWa36kj8XMpHCkJKItP3uvvgKbS/dhw7X90pV0Pp60t92SiHwyEvlyQkoTmr5qFxVTPcxalJPkphKFNERKWiAnuBpuEoCE3GZVZBKBwMQ3zN7Hn2dbz66qvYunXrZDgp7KmpqcHf/d3foXXeQrjL6+DpP4mukyewfft2efmyoaEh+Hw+RCJnZFQh5LlcLpSWlsqi0KJFi7B02TkorKxH5eyVqJi9PIVZ8BASeIcABaF3WPAZCZAACaRDYM/Rfnz2x5shuUK636xSpY5160JoL3wQko/MjQRIgARySqDUVYo7r/4/KHYW53QePLk6AeUNAfXek1spCE1mwj0kQALmI0BByFg5pyBkrHwyGhIgAXUCyusBUwhCS6pGcWyoAL6wjYKQ+vvDcK2iYlRd5UkUurVXWtErDApCes1M9uYVCkg3AF5rw6FtB/C3v/0NO3fuRDQaTeuE5eXluOSSS7D+ovVoXNmsqYpQWidO8mAhHokl9LRIQhSEJsM1qyDkG/bJy4vtfekNPPLII+jq6poMJ4U94o+ia9aswYaNGxEIBHHgrf2ygCSEvWAwqDqiqEBUUVEhVyG6+JJLUV7TiOp556KimZKQKjg2qhKgIKSKh40kQAIkoInAHX/chb+8cFTTMdPdubjAjsXr2tBheXG6T83zkQAJkEBCAv+w9v/BxtmXJmzjTv0QUN4Q0DozCkJaibE/CZCAEQlQEDJWVikIGSufjIYESECdgPJ6wNCCULEjgtYyL3q8TvT6nIjEhC7CzUwEjFY9SOQul4KQJxLAcX8PBkOjZnob5TzWwc5BtO+Slhbb/Co2b96M7u7utOckKpusX78el264FK1r5spVhCzSp5H1tBVIglCJhk8hUhCanL1gLIzOwAA6/KlXnJo8qv73jPSN4PALB7DvtTfxpz/9SZJ5AhmZtJB8FixYgOuvvx7t7e14+OGHcfr0aU1jFxQUYMmSJbjiyitRUd+K+mWXobBqlqYx2JkE4gQoCMVJ8JEESIAE0icw4g3hw995Gv0j/vQHy8IIjTUFKFv6NwzE9C0xZSF0DkkCJKBTAotmLMS/XfodWKT/uOmbgPKGgNbZUhDSSoz9SYAEjEiAgpCxskpByFj5ZDQkQALqBJTXA4YUhMRCYourPFJ52zDahgtkQYhykPobw4itdlsINeWnUODyGiq8XApCAuRhbxe6g4OGYqr3YLr2d8qC0OZnN8uCUDgczsiUFy5ciEsvvRTLL16B5jWz4XA7MzJupgbRWkWIglBi8masIjTcPYyDz+/D/j378Yc//EFafiMz628Iia61tRUf+tCHsG/fPvz1r39NDP0se8UfV1etWiVJQlejtGE+Gs99LywW61mOYjMJTCZAQWgyE+4hARIggXQIPL29Hd/63bZ0hsjKscvnF2B01oMIxEayMj4HJQESIAGtBMT1+o8uvwNNZU1aD2X/HBBQ3hDQOgUKQlqJsT8JkIARCVAQMlZWKQgZK5+MhgRIQJ2A8nrAcIKQVfrQyuLKEdQXBbHvdBFOeVysHKT+njBsa1VpD0oLh2G1RgwVIwUhQ6UzqWDaX29D285j2Pz8ZnmJsaQOSqJTXV2dvMzY+VddgKZVs1FUWZzEUdPbRUsVIQpCiXNjxipCwz2SILR5P/bv3od77rkn7SX54mSFIDRnzhx84AMfwBtvvIHHH3883qTpUYxTXV2NK664AktWrEX98stRNnOhpjHYmQQEAQpCfB+QAAmQQOYJ/NOdL+LV/elX7MzEzERNjvXnxtBe/IAkPKe3xHAm5sMxSIAESCBO4L0L3oOPL78x/pKPOiegvCGgdboUhLQSY38SIAEjEqAgZKysUhAyVj4ZDQmQgDoB5fWA4QShpVUjGA464A1bMeB3UA5Sfz8YttWIS4vFk0VBKE7CPI8npOXFjm07IlcP2rp1a8YCr6iowMUXX4xLrrlUWmJsNsrqyjI2dqYGSlYQCkjL340GPYhEM1NdKVPzn2qcGc4yzC9smKo54/vNVkXIc3oUR7Yewt7te3D//ffD4/FkhKnD4cDixYtlsWfbtm1pCXt2ux3z58/HDR/+CErr56F5/fUZmSMHMRcBCkLmyjejJQESmB4CJ3tH8bHbnkUglNsPmhS67Fi+vgPt1s3TEzjPQgIkQAJJEqgurMbPrvoJ3HZ3kkewW64JKG8IaJ0PBSGtxNifBEjAiAQoCBkrqxSEjJVPRkMCJKBOQHk9YDhBqNIdwkjQhlB0+pbqEJ/qy8ziJerJY2tyBCxSNuoqO1DozswN4eTOOn29KAhNH2u9nOnEa5IgtP0ItmzZghdffDFj06qsrJQFoYslQahpVTNKa/UnCCW7zFg+VQ8SCZxuQchsVYQCHj9O7j6BPX97A08//TQOHz6cka+b0tJSXHjhhfIyY0899RQOHTqU1ri1tbW4/voPoGn+crRc8GHY3YVpjceDzUeAgpD5cs6ISYAEpofA/33iLdz1yJvTc7IEZ6mvcqNmxcvoix5M0MpdJEACJJA7AlIxVHz9wq9hZd2K3E2CZ9ZMQHlDQOsAFIS0EmN/EiABIxKgIGSsrFIQMlY+GQ0JkIA6AeX1gOEEoVzJOlZJSolCnJ1brgkYuXqQYJsrQWgg6oc3GpT+BTAYGEYwEsx1qk1z/nZJdGiXJKHnn3teloQyFfisWbPkJcbWXX4emlbPRmG5PuWEZKoIRWMRhKMTP+Utqgr5Qr5M4croONMtCInJm0kSikai6Dvag73PvIHdu3fjiSeeyEj+Ghoa5OXFREWiP/7xj/B6vWmNW1JSgosuuggXbrgKM1deg+LalrTG48HmI0BByHw5Z8QkQALTQyAUjuLm2zfhaNfw9Jxw3FmWzCmEv/kv8McGx+3lUxIgARLQB4HLWzbic2tu1cdkOIukCShvCCR94NsdKQhpJcb+JEACRiRAQchYWaUgZKx8MhoSIAF1AsrrAcMJQurhZ681V2JS9iLKz5GNLgeJrAhBKCLpaC6LHYUWR1YTFZeCxEmCQsCQziu2keCIbsULeYIG+1/3wVOyILRl0xZ5mbFAIJCRCJctW4YNGzZg0QVL0Ly6BXanPSPjZnqQZKsIjT9vkcWJYunrIyK9b5PdBkKj6AqcTrZ7Wv1yIQiJCZtpqbHh7iG89dw+HN5/CA899BAGBgbSypnL5YL4mrnsssuwf/9+PPLII4jF0qsf6HQ6sXTpUrzvho+gZsEFqJ67Nq058mDzEaAgZL6cM2ISIIHpI3DgxCA+9cPnEZbE4+nYxN8U1q22oqP0PumqK/nfYadjbjwHCZAACQgCYmmxn175IxQ69PnhImZpagLKGwJT90zcQkEoMRfuJQESMBcBCkLGyjcFIWPlk9GQAAmoE1BeD1AQUufF1jwjUF950rBLi8VTIQQhbywkCzs2qWpVha0gaVFovPATH0/tcbwUNL4fBaHxNLL/fLRvBGKZsdf+tlOuINTW1pb2Sa1WK84//3xs2LgBzata0Lhqtq5roCVTRSgORchBVbZCSaKzxXcl9RiIhuQqWaJzNmWhMkcRWty1KLK5ppyX+BoPxMKosBZM2SeVBjNVEQr6guja14FDLx/Arl278Mwzz6SCbOyY+vp6vO9975OlICEHnTx5cqwt1Sd2ux3z5s3DR2/6BKrmrEHt4otTHYrHmZQABSGTJp5hkwAJTBuB30lLjf1qGpYaczttWLm+Bydsz05bbDwRCZAACWghYJHWFvvmRV/HObXLtRzGvjohoLwhoHVaFIS0EmN/EiABIxKgIGSsrFIQMlY+GQ0JkIA6AeX1AAUhdV5szSMCZqgeJNIhBCFRPagv4pFFISFB2GBNKlNTCT9JHTyuEwWhcTCm4WkkHEH7rjYc23FEFoRefvnltCuXiKWSLrnkEqw8b5UsB1U1VU1DJKmfIllBKFU5SDmzQDQsL6cn9mdaFkqmetCwtJRff8SLcps745KQWaoIieo+Iz3DOPryYbQfOoEXX3xRFoWUuU7mdWVlJTZu3IjZs2fLY2zevBmRSPqf7BeC0IIFC/Dhj92M6nlrUbPwwmSmwz4kMEaAgtAYCj4hARIggawQiERjuPXHm7HnWPaqTNZUuKWlRrejJ7YvKzFwUBIgARLIBIErWi/Hras/k4mhOEYOCChvCGidAgUhrcTYnwRIwIgEKAgZK6sUhIyVT0ZDAiSgTkB5PWAYQciCmPSfKMrNzYwErFLq66TqQQUujyHC94a8CEaCKJIqjThsE5cRE4JQqdWFU5FRjEgSQS42CkLTT72/rV+ShI7jzZ17ZUno+PHjKU9CLGt07rnn4oILL0DLyjloWj1bt8uLxYNMZpmxTMlB8XPGHzMtC51NEBLVg4QAGJCWRyuRvtbrpK/5TG5mqiIk5Lr+43048vJBdLV34ZVXXsHrr7+uCaeQgy699FJZ5Onv78ef//xn9PX1aRpjqs4FBQVYtWoVrnnP9ahbcikqmpdN1ZX7SSAhAQpCCbFwJwmQAAlklEB7zyg+/v1n4QumLwcrJ7ZwdiGirQ/DE+tXNvE1CZAACeiGwIyiGfLSYgX2zFa41U2AJpiI8oaA1pApCGklxv4kQAJGJEBByFhZpSBkrHwyGhIgAXUCyusBwwhCDmsU4ahVkoS4mZFAVUkfSosGYbVm/o+2081TyEHiXzQWRamrFG67e8IU9CAIhaXqKqPBUVlimjA5vsgagXAwjJNvtOPErmPY/fpuiCpCqUgKoiz4kiVL5OpBLUskOWhlM8pnVmRt3pkceKoqQkIMKpMq7dilSlpalxXTOr9MyEJOqx0NrirMdFUmPL2oHtQtCYBiEzFluorQUNiLo75ueCP+hOc32k7xtdN7pBvHtx9F76levPXWW9ixYwcGBwdVQxUiXWtrK9atW4eGmTPhLihCV0c7HnroIXR1dakem2yjkI+uuuoqLF97IZrOvQ7usppkD2U/EpAJUBDiG4EESIAEpofAX144ijv+uCujJzt3pR2nKu5FRFpWlhsJkAAJ6JWA+BvCv178TSyrWarXKXJeSRBQ3hBI4pAJXSgITcDBFyRAAiYlQEHIWImnIGSsfDIaEiABdQLK6wHDCEJWS0wSKlhBSD39xmw10tJi4+UgkS29CkJibqwiJChM7+Yd9MpVhE7sbcObb76J7du3o7e3N+lJ2Gw2LFy4EBdeKMkIc5sxa3kjaubVwWa3JT1Grjq67C4UO4ohKgmN34qsTlRZC7MuBo0/Z/x5OrLQVJLQ+OpB8fNkWhIyyxJjcX7yo3TfzdfhxZHXD+JU+yl0d3fLks/Bg9LrU6cQCATkZfvEkl9lZWVoaWnBnDlzUF1djZq6mSibuRDOwlIc2/mULBc9//zzE4ZP9cVMSTy68cYbUTlzLuZcfCMsNnuqQ/E4kxKgIGTSxDNsEiCBaScgPoj0pV9sxUtvnkr73E67FWvOG0Sb/Ym0x+IAJEACJJBtAu9beB1uXPbRbJ+G42eZgPKGgNbTURDSSoz9SYAEjEiAgpCxskpByFj5ZDQkQALqBJTXA4YRhNTDZquRCdRLS4sVuvN7abH4kmKiMo+oHBTf1AQhsfyQWIZICAW52CgITT/1WCyG0b4RtL9+Ah0H2tF+oh07d+7E0aNHEYmoV88qLy/H8uXL5X91jXVoWDwLNQvq4HQ7pz+QFM6YqHpQLuUgZQipyEKJJKHx1YPGnyNTkpDZqgfFGTptThRLS7UN9Qyg63g3jr15AqOD/RgaGoLP55O/fsTXl9VqhagcVFJSgtLyCpTMaEZly0oUVtQj6BvGsa334eiht/Dggw/C40nv5474A+vatWtx2ZXXoKplFeqWbYhPl48kkDQBCkJJo2JHEiABEkibQN+QHx+77RkMeYIpj1Vd5kLzqt04hd0pj8EDSYAESGC6CMyvmofbNnwXNsvED+pM1/l5nswRUN4Q0DoyBSGtxNifBEjAiAQoCBkrqxSEjJVPRkMCJKBOQHk9QEFInRdbdU7ACNWDlFWDxiNXE4REv1PSMkQj0nJEudgoCOWCOhCNxuAd8KBrXwdOHexEf28/Ojs7ZUmora0NIyMjUp8zkpkQHWpqajB37lw0NzfL1VBqm2pRu6gBVc3VcBbkhxwkSCsFIT3JQcp3wnhZaDA0is7AaWWXsdfjJaFE1YPGOkpPSqwu1EmSS6qbWeUgu1SVp9RZArvVgZj09TM8DBxvcyM4OghP3wn4BrsRDkiyjyRnWqVKVc7iChRVzUKBJAU5C8uk15WwSmOEfCPoOfAS2t/YknYVISEiNTY24v3vfz9qmuZh9voPyOdNNbc8zrwEKAiZN/eMnARIIDcENr/ega/++pWUljaf11QI69zHMRrrzs3keVYSIAES0ECgyFmIH13+A9QUcRlkDdh021V5Q0DrRCkIaSXG/iRAAkYkQEHIWFmlIGSsfDIaEiABdQLK6wEKQuq82KpjAjZpWbnayg4UuNKr4pDLENXkIDEvu9WOEunGtsPmGJtmrSQIlEqigNgoCI1hMdUTUekkMBrAYOcAeg9343RHP4aHhjE6OopQKCQvlSSAiCXFxDf90tJSlFWVo7q1BjNaZqCwsgh2Z/4sZaRcXkzPcpDyjThRFvJIslC/sguEJFTvqkSptIRatyT9TbWlU0XI3HJQqfy9VHANRxwYHKmQPvlfjmgkjLB/FOGgT34uGUKwSEvY2exO2F1FsLkKYbG8s3RpTBLvPP3tOLnzMXQeP4i//e1v2LNnz1TpUt0/Y8YMvOtd78LchUulSl7noXruuZBOpnoMG0kgEQEKQomocB8JkAAJZJfA/7l/N/70/GFNJ1m73InuqnsRQerVhzSdkJ1JgARIIE0CXzrvf+H8WeelOQoP1wsB5Q0BrfOiIKSVGPuTAAkYkQAFIWNllYKQsfLJaEiABNQJKK8HKAip82KrjglUlfSitGhIWhJGfWklPYbgCXkRigShXFIs0VyVVYTGC0K5XGZMzH00OIqgFAe33BCIhCLwj/jgHfTJS4+N9AwhMOKH2C/EBkeBQ5KBJKGstkyWggpKC6SKKM4J0kNuZq7trPHqQUIMKrO64YC0DFQeljhXk4WEJFTskMQtqYKN2iYkoTKbG5XWArVuk9p6Q8M46OmYtN/oO8TSYuXu8rEw/cECnDo9E5FoaiXyo6EgBjv24eRrT6Lz5Am8+uqreOONN8bGP9sT8XUpqnpdfvnlmDt/ISqbl6JuyQbY3UVnO5TtJJCQAAWhhFi4kwRIgASySiAcieJzP5VE4aOTxW/liR02K9auH0Gb81FlE1+TAAmQgG4JXNF6GW5d/Vndzo8T005AeUNA6wgUhLQSY38SIAEjEqAgZKysUhAyVj4ZDQmQgDoB5fUABSF1XmzVKYG55V7YC3oQsuRmea10sAg5yCf9i0rL2SSzqQlC4nhWEUqGorH7iGXHwv4Qgr6gLAeJZZREMRKrdEPC7nLAIUlBdkdqQoQeyAlBqM5diWprYV6KQYkYJpKFxLJThfZCFErxqm1alxpj9aB3qmX5AoXo7G9Uw3vWtohUcWigbQ869zyHvp5TOHDgALZv346hoSHVY8UvYIsWLcLq1avRMKsZlU2LUbPoQrikJcy4kUCqBCgIpUqOx5EACZBAegR6Bny4+fZNGJCqek61VZQ4MWfNPnRh51RduJ8ESIAEdEegsWwW7rjsdrhs6h9e0d3EOSFVAsobAqqdEzRSEEoAhbtIgARMR4CCkLFSTkHIWPlkNCRAAuoElNcDFITUebFVpwRmV52C0zUilWhPTrLRSxha5SAx73QEIbGEmVimTFTRyMY2EhyRZCdfNobmmCQwRqDaVY4Wd41h5KCxwN5+MhDxoTM0KL8SlbnEpiYJaakiRDnoHTkoGHaif6gG3kCa1XpikEQ8H4Y7D6Ln4CsY7D6B7u5u+d+hQ4dw6tQp+P1+eak/p9OJqqoqtLa2orlZkoIqKzGjbhYqW1ehomkZXCWUg+Q3PP+XMgEKQimj44EkQAIkkDaBbft78IX/eFH64If0y4Fia51ZCNfCpzEcNV8FRwUKviQBEsgjAgWOAvz7xu9hVumsPJo1p5oMAeUNgWSOGd+HgtB4GnxOAiRgVgIUhIyVeQpCxsonoyEBElAnoLweoCCkzoutOiRQWdInLS02CFseLS2mZUkxJfKzCUJTLTMm5CBv2CstSGRFsbM4K5IQBSFltvg60wQqHSVoLqhBobS8mFG34WgA3ZFROTxRWUz8E2Kf2paMJGRWOUhwUy4tJvaJ6kFd/bMg1dcSL9PeouEgvANdGDl1RKoo9AZGB/swPDwMn8+HcPiM6CWqQolfvEpKSlBaXomSurmonH0OCspqpSp4xWnPgQOQAAUhvgdIgARIILcE7n58P37z6L4Jk1i1xIXTtfcjFOMHKSaA4QsSIAFdExDLIf/LeV/Cupnn6nqenFxqBJQ3BLSOQkFIKzH2JwESMCIBCkLGyioFIWPlk9GQAAmoE1BeD1AQUufFVp0RsFtiqK3sgNvl0dnMpp5OKlWDxo92NkFI9FUuMxaXg6LRMxWWhGyQDUmIgtD4TPF5NgjUuyrRWlCbjaF1MaY3FkJfxAMh+mnd1JYaE3LQMV83PBG/1mHzvr/d5kCpJEXarY6xWMIRO4ZGKzHoqRjbl4knMel7bDjgRWCkD0HvELz9J+Ef6pH2eeQKQjaHW6oSVIWiqplwl9ZIy/2VwllUAYskDnEjgUwQoCCUCYocgwRIgARSJxCTqgf9r19sxSv7uqUPsFiwbr0fbe6/QjKSuZEACZBAXhG4ftH78dGlH86rOXOyyRNQ3hBI/sgzPSkIaSXG/iRAAkYkQEHIWFmlIGSsfDIaEiABdQLK6wEKQuq8ztoq6hDwb39nxZSxDlWlvSgtHII1D6oHpVM1aDwwpdxTaytGqXXiWvDjBSGlHBQfSzlOfH86j2I5pNHgKIKRYDrD8FgSmJKA0QWh8dWDpoQwRYNaFaHe0DAOesy3pEUiOUjg8wcL0H26AeGoemWmKVCffbf0i0A0EpLFoEjQJz0/U0HIYrXB5nDB7iqSHt3IUPGis8+HPUxDgIKQaVLNQEmABHRMYGg0iH/42WZUzN+DTryq45lyaiRAAiSQmMCq+pX46gX/G1YLP8iQmFD+71XeENAaEQUhrcTYnwRIwIgEKAgZK6sUhIyVT0ZDAiSgTkB5PUBBSJ3XWVtFRZtIzEJJ6Kyk0u8wt9wrLcnSg5AlkP5gWR4h3apByumNryKkJghNJQfFx8uGJMQqQnG6fMw0gTPLi82QlhebKMRl+jy5Gi+d6kHxOSeShLi0WHkcz9ijWF6ss79x7DWfkIBRCFAQMkomGQcJkEC+Ezg6cAzf3Pwt+MP6v1bNd9acPwmQQGYJ1BfX4Y7LbkeRsyizA3M0XRFQ3hDQOjkKQlqJsT8JkIARCVAQMlZWKQgZK5+MhgRIQJ2A8nqAgpA6r7O2soLQWRFlrENL1Sk4XCOI4MyyWRkbOMMDZVoOEtM7myAklidq8/eiPzSE+LJiU4WVaUmIgtBUpLk/XQKsHpQcwfGSkJnloKmqB4XCTvQPz4DHX5wcUPYigTwiQEEoj5LFqZIACRiewLbO7fjhSz9GNKbv61XDJ4IBkgAJJE3AbXfj9o3fQ1MZP0yRNLQ87ai8IaA1DApCWomxPwmQgBEJUBAyVlYpCBkrn4yGBEhAnYDyesDwgpCo7RPjmh7q74o8aM2X6kHZkINEes4mCJ0M9KMrcBpBacmvZLZMSkIUhJIhzj6pEDCyIJSJ6kHjmcYloYi0zJUZlxYTLJw2J8rdiasHdZ2eiViM5fLHv2f43BgEKAgZI4+MggRIwDgEHjn4KP7v7v82TkCMhARIwLAELBYL/vm8L2L9zHWGjZGBvUNAeUPgnZbknlEQSo4Te5EACRibAAUhY+WXgpCx8sloSIAE1AkorwcMLwgJHMWOCIIRC0JRK5cCU39/6LJVLOPWJFUPsjtHdV89aCgwhEAWysqrCUJa5aB4kjMlCVEQihPlY6YJGFUQyrQcFOcelQRBb9ALb8Qf32WqRzVBiMuLmeqtYKpgKQiZKt0MlgRIIE8I/Pq1/8JTR57Ok9lymiRAAmYl8PHlN+K9C95j1vBNF7fyhoBWABSEtBJjfxIgASMSoCBkrKxSEDJWPhkNCZCAOgHl9YApBCGHNYZIDLBJool47g9bpUWqxOJg3PKBQHVpL0oKh2C1RnQ/3ekUhIQYJJYTEjJAspWDlAAzIQmFJSlhNDgqSXhB5fB8TQIpE6h0lKC5YAYKra6Ux9DrgcPRALojoxmdXkiqHCRkPfH1aMYtGoki7AnD4gECHr9ULSgGZ4ELJRUlsBXWome4xYxYGLMJCFAQMkGSGSIJkEDeEYhIyz/f/uId2HXq9bybOydMAiRgDgJXzbkSn1n1aXMEyyhlAsobAlqxUBDSSoz9SYAEjEiAgpCxskpByFj5ZDQkQALqBJTXA6YQhOJIrJIgJBYYEXLQoopRHBkqhD/CJUfifPT4mC9Li8XZTZcgNBwa1bSkWHx+iR7TlYS8IR+8kqgUjepf4EoUP/fpkwCrB2nLiz/sx3BgWNtBed5bcoDgH/Gh59ApjPaNIBqMIhqKIhKWvhcJKdhuhcPlgNVRCLgaUN60BEVVs/I8ak6fBCYSoCA0kQdfkQAJkIBeCIhrpK8//02cGDqhlylxHiRAAiQgE1hdvwpfueDLsFr491AzvSWUNwS0xm5WQSgajWLv3r3YunUrfD4f1q9fj7Vr18LhcExC+Oijj8r7Fi9ejNbW1kntiXZs374d3d3daGxsxDnnnJOoC/eRAAnoiAAFIR0lIwNToSCUAYgcggRySCAYDOLpp5/GoUOHMDAwgJaWFlx++eXy71VTTev06dN46aWX8Prrr2P+/Pm44IILMHPmzKm6Q2v/KQfSQYPyesBUgtB4/hWuEIaDdhRJy495QzaEY6woNJ6PXp63SEuLOVwjul9aLM4rW4LQeIknLC1hNhrypFw1KD7X8Y/jxx+//2zPKQedjRDbUyVgREEoW0uLmbF6UNAXRO/hbvQf74Nv2IfRwRGcPHkSnZ2dGBkZkSsIiT9g1tXVyb8QllVWw1VciaLqZlTPXQNnUXmqb00eRwK6IkBBSFfp4GRIgARIYAKBXm8fvrrpaxjwD07YzxckQAIkkCsCrRUt+LdLvwO33Z2rKfC8OSKgvCGgdRpmFIRCoRA+8YlP4K9//StsNpv8dwYhDG3YsAH33XcfBJPxW3Fxsdzn0ksvxWOPPTa+KeHz0dFRzJs3D8PDw/j4xz+OX/7ylwn7cScJkIB+CFAQ0k8uMjETCkKZoMgxSCA3BIQQtHLlSvT29sLpdEL83iZWlRC/837ve9/DrbfeOmliL774It7//vfD4/HIxwjByOVy4Z577sE111yTdv9JA+hsh/J6wLSCUDwvTqu0LEnUwiXH4kB09Div3ANbQS9CloCOZqU+lWwJQuKspa5S+Y84okqIqBaS6U2rJHRGDvJIlYOimZ4KxyMBuKwOzHRXod5ZYRgaXFosM6n0DnrRvus4hk8NoberF7t27cKJEyfkX+zEL3fil0Gx2e12+Q924o90tbW18qfxZjW1oLi2BVWtq1FcM1vux/+RQD4ToCCUz9nj3EmABMxA4PDpI/jWlm8jIH3IgxsJkAAJ5JJAdWE1bt/4PVQWGOcaO5c88+3cyhsCWudvRkFIyEH3338/vvnNb+Kzn/2s/PfPO+64A7/4xS9w3XXXyTeTxnMUf3sQIlE4HMa2bduwZMmS8c2Tnt955534xje+IfenIDQJD3eQgC4JUBDSZVpSnhQFoZTR8UASyDkBUYHxi1/8Ir785S/Lv3OJSj9PPvmk/HubkIeef/55rF69emyeomLQFVdcgYaGBvzud7+T7xWJ39c++tGPytWHNm/ejBUrVqTcf+xAHT9RXg+YXhDSca5MPTWHNYYmqXqQzTGaN9WDRMLyWRAS809GEhJiUDASkKpuhSkHCWjcskbASJKQJxZCf8SDQCyzS/GZbWkxz4AHbduPov9EH44eOSqXg+zp6ZHlILU3ojDBRTUh8Qe6c9edJ8lBzZgxXzzOVjuMbSSgewIUhHSfIk6QBEiABPBqxzb86OWfIBrjByv4diABEsgNgSJnEW6TKgc1lTXlZgI8a84JKG8IaJ2Q2QShY8eOYdmyZbjhhhvw29/+dgyX+JDkVVddhVdeeQUHDx5EfX39WJsQhNasWYMdO3bgpptuUq0IFIlEsHTpUsyaNUv+uwYFoTGMfEICuiZAQUjX6dE8OQpCmpHxABLQPYGvfe1r+NnPfoavf/3rEM/j2y233IJ7771X/j1NLC0W35577jlce+21+PSnPy0fF9+vtX/8OD0/Kq8HKAjpOVsmntuCCg8s7vyqHiTSle+CkIhBSEJiLfpCRyGcNqfYNbZ5Q154w16KQWNE+CTbBIwgCWVLDgpGghgNjkpV8MLZToMuxhdLibXvakPXwQ4cOnAIwuoWJSRF6chkNqvVirKyMrn05MWXbEBp/VzUL7sczmIuN5YMP/bRJwEKQvrMC2dFAiRAAkoCzx1/Hv+5466kf29RHs/XJEACJJAqAbGc2Lcu/gYWVL3zh/BUx+Jx+UtAeUNAayRmE4S++93vQlQLevzxx3HJJZdMwPVf//Vf+Kd/+id5+Wxy0wkAAEAASURBVIovfOELY21CELrsssvg9/vlm08HDhxAdXX1WPv4Jw888ABuvvlm3HbbbXIVIQpC4+nwOQnolwAFIf3mJpWZURBKhRqPIQF9ExDLiAmZW1SA/MpXviJPVizr2tLSIt8XevrppycEIO4tzZkzB4FAAEIQF8uVae0/YUAdv1BeD1AQ0nGyzDq1udLSYkWFA/BJ/0Wkxd/yaTOCIBTnrawmRDkoToaP000g3yWhbCwtJnJgpupBkXAU/cd7ceSlQzh2+Cgee+wxWQ7S+l60WCwoLy/H+vXrcd4FF6OieTkaVlypdRj2JwHdEKAgpJtUcCIkQAIkcFYCTx55Cv+1625JEjprV3YgARIggYwQcNgc+NqFX8HymmUZGY+D5C8B5Q0BrZGYTRDasGED3nzzTXR0dMDhcEzAdeTIESxfvhwf+tCHJlQXEoLQpZdeis985jP4yEc+Ios/X/3qVyccG39x0UUXoaurCw8//DDWrl0LCkJxMnwkAX0ToCCk7/xonR0FIa3E2J8E9E/g97//PW699Va52qOoBim2Z599Fu9973vx7W9/G//yL/8yKYi///u/l6sLvfHGG7IspLX/pAF1ukN5PUBBSKeJMuu0LFLgs6tPweEcyTs5SOTMSIKQiCcuCYkKJawcJIhwyxWBelclWgtqc3X6lM+bi+pBkUgZIuESOF0nU5633g4c6R3Bka0H0XbguLx+7L59+1KeoqgkJMp4X3XV1WhdvAIzV1yNourGlMfjgSSQSwIUhHJJn+cmARIgAe0EHjrwCP77jd9rP5BHkAAJkIBGAjarDf983hdxbsNajUeyuxEJKG8IaI3RbILQokWLZDFI3ChSbj6fT64MJGQg8eGl+CYEIVFt6JFHHsE555wjf/pcVBESn0Qfv8U/2f6d73wH7373u7F69WoKQuMB8TkJ6JgABSEdJyeFqVEQSgEaDyEBHRPYtWsXrr/+eoglxJ588smxmf7hD3/AZz/7WVnsFoK3cvvGN76Bn/70p3jmmWdw/vnnQ2t/5Xh6fa28HqAgpNdMmXRe86TqQbaC/FtaLJ4uowlCIi4hCUXFf9I629xIIFcE8rGKUC7koGi0CAF/kyQIlUqCUIchJKFoNIb+Y73Y/9ybOPDWW/In7ETJx3Q2l8slf+Lv3e+5DuWNSzBr9d+lMxyPJYGcEaAglDP0PDEJkAAJpEzgvn0P4N4370v5eB5IAiRAAmcjYJUqp/7juf8vLm666Gxd2W4SAsobAlrDNpsgVFlZCfGp8y1btiREVVVVJX/CfNu2bWPtcUFISEN33XUXvvSlL+HXv/41Pvaxj431EU8++MEPykumHzx4EN3d3VkRhCKRCEKhEETep9rEkhpiObSCgoKpusj7vV4vRP7VNo9HWg2gqEitC5IZJ5k+QtASf9MRH/6aahN/M7LZbLDb7VN1QTAYlNuUAtf4A8iRHJXv/T++1IWDXd6xt0lU+lqT34vSz92ptpi4pyK1i6rmU21yH6nRovK+FmVIxdft2fqIezhW6f2vtsnz1lsfEfvZGGWY4ycvmYmm6snfJ/n9kd8f+XNG/ee+8ue1+Nms/H1C+fNa/M4hqjKKn8+Z2kQ1RrGM2MjICE6cOIFTp05BLBP7yU9+csL33B//+Mf41re+hb/85S+48srJq0n85Cc/kZck+5//+R+50pDW/pmKJ9vjKK8HKAhlmzjHT5qA0xpFY1U3bI7RvKweJALNpiAkRJ0SZwl8YZ+8tFDSYNmRBAxCIN8koaFoAD2R0YzTV1taLByqgt+3QLpgtEm/bI3A6W6T/iAykPE5TOeA3iEvTuw4hsO7DuGFF16AMMEzsTU1NclGef2cZZh9/g3Szx5XJoblGCQwrQQoCE0rbp6MBEiABDJG4Pd77sFf33ooY+NxIBIgARKIExD31m5ZdQuuar0ivouPJCCLIuImtrhZI258at3MJAiJm0x1dXXYuHGjXA0oESvx94SysjLs2bNnrHm8ICSEGfHp9cbGRnmJi3inQ4cOYeXKlbjlllvkT6q/JX0IKhsVhI4ePQoxh6VLl064QRafh3hsb2/H4OAgFixYMKnKUbyfuNHW29uL1tbWKQWg/v5+dHZ2yrGKJd0TbcPDw2hra5O5zpgxI1EX+b15+PBhCPmqoaEhYZ9wOIz9+/ejtLQUzc3NCfuInWJ5OHFzd+7cuVP2EdWdhEghqkVNtZEjOfL92Ah+XU+sAhf/fsHvj/w5w58zZ35eC/FH/H5TUVEhr9ogvkaUP6/Fz1vxs1n8rtTS0hL/Mkr78fjx47J4LX6/FV+T4jzr16/HF7/4RVx++eVj4wuJ6M4778SmTZvk9rGGt5/86le/ko+5++678eEPf1iWjrT0V46n19cUhPSaGc4LCyo8sLjzt3qQSGE2BSExfqmrFMFIkIKQgMHNlAT0LAkNhD3oDJwey0s4FkUwFh57LZ44bU4UOtQN7AkHKF6Ir//R4CjEsn+JtlBoBvzehXKTRVIt7c5uuAuOJOqaN/sGuwZxYNM+HD10RLa8xR+wMrGJTwRu2LABay64DDNXXYOiqlmZGJZjkMC0EqAgNK24eTISIAESyCiBu3f9Fo8ffqfsdUYH52AkQALmJCDJQTcvvwnvmX+tOeNn1FMSUN4QmLLjFA1mEoTEzSVxQ1yIO88//3xCIqJ9zZo1ePbZZ8faxwtCYqf4pLr4BPoTTzyBiy++WO73+c9/Xl7eYvfu3XIFomwJQgMDA3KFnNra2rH5KZ8IaUdIRPX19cqmsdeiQoD4G8xUwo7oKCrx9PX1oaamZsqKPYKpuHEn/g6jVtVIiEZC/hEsp9rEOKJKgRC0ptp6enrkuYjzTbWJOQtZbiphSRxHjuTI9yO/rqf6HsLvj/w5I6rU8efMmZ/XopKP+NldUlIy9iWj/HktqiYKqWoq6XDswDSevPzyy3IlIPEopJ8bb7xRHu373/8+vve97+Ghhx6aIA7FT/XDH/4Q3/72t/Hoo4/K94u09o+Po/dH5fUAKwjpPWMmmd9caWmxosIB+KT/ItJyVvm6URDK18xx3vlEYDolIaX0o8YpGA3BG1Ff+kp8Yq/QXpiSJHQ2OSgaLZSXFwtLklB8s1oCcLilpcacHfFdefc4cPI09j+9RzLRD+OPf/xjxpY7FH9QEp/ce9d7rkfNgvNRNXdN3rHhhEmAghDfAyRAAiSQvwSkRQLwyx2/wqZjz+VvEJw5CZCAbgiIpUs+cc7H8e55XD5ZN0nR0USUNwS0Ts1MgpBgM2fOHPlGlxB5lJuQaoQM8/73vx+///3vx5qVgpCQXRYvXiwvZXHffffJEo2o1iMqE91///3ycdkShMYmxSckQAIkQAIkQAIkYCICQoBevny5XMVIVEsU10i//e1v8Y//+I/43e9+hxtuuGESja997Wv42c9+hp07d2LhwoWa+08aUKc7lNcDFIR0migzTUusvrq6dggBez+8sVBeh05BKK/Tx8nnEYE6VyX+f/bOBD6q6uz/v2SWbGQhCZBA2Alb2DdlUxCKuNQNEZe6b63Wfevb19pWpbZ28VV8a6tvS21dqlYUVFz/IoIgmwKCsoUASUhCSELIOpkl//scmJhcssxNZpK5M7/jZ5iZe895zvN8zwhz5v7u8wyOaflOKH+FUlh3DNnVBf4yp+y0RyTUljhIDLtdSVp5scGagKZphiKL5TiiYnK0kmPH/RpHZxkrzS3RBEI7VKpKqQPrryY1b+XHugWXXYHkgeOQPnqOv0zTDgl0GgEKhDoNNSciARIggYAQ8GgZJ5/Z9CzWHFwbEPs0SgIkEB4E5Ifvm8bfgPmDzw6PgBmlYQL6CwJGDYSbQGjGjBmQElR5eXnqbvfGvEQ0NG3aNNx1112QO8y9TS8QkuM33ngjRBwkpchee+01PProo/jggw8wc+ZMNYwCIS89PpMACZAACZAACZCAfwgsWrRIZQOS71lS7lWyOV566aUqu5CUG9M3EQ1JHxF3SxYko/319oL1vX4/QIFQsK5UGPmVqWUPig2B7EGyZBQIhdEHl6F2KYHOyiLk0LIC5WllwwoblQ7zNXBvOTER91Q7q5sMMyIS8kUcJMbd7kQ4agZpz01TMUupMVtUIaKi9zfxwSxvSg9pAqGPAyMQysrKwiULF6H7gHHoPeb7urRmYUM/SYACIX4GSIAESMD8BEQk9PxXL+Dj/f/P/MEwAhIggU4nEKmJg26deAvmDuQND50O30QT6i8IGHU93ARCUmZCyk0sW7YMZ5/dVHj3u9/9Tgl9PvvsM0yePLkBZXMCIa+Y6MEHH1QCISmrsW7duoYxFAg1oOALEiABEiABEiABEvALAfnutnHjRkhZM7vdDskqNGjQIHWz+Oeff95kjtraWvTr10+Jv99++211zmj/JgaD+I1+P0CBUBAvVri4NjC1ADZ7palLi3nXyuVxoaKuAk53YDIhJUQlQMQCta5a75R8JoGwJdCZIqF8TSBU4INIyCsKkkWJjIiENdKq/n897jg1e48vIiFfxUEyn9sdr5UYG6AyCcn7xs1mP4LomN2ND5nmdWnuiRJj+/b5v8TYxIkTcfZ5FyI1c4oqM2YaKHSUBE4SoECIHwUSIAESCB0C//rmZby9a3noBMRISIAEAk5A9py3T/4JZvU/M+BzcQJzE9BfEDAaTbgJhHJycjB69GiV6WfFihWQDMTSjh49CskuJEKfL7/8sgnG5gRC0uGcc87Bhg0b4HA48Le//Q2XX355wzgKhBpQ8AUJkAAJkAAJkAAJ+Exg586dSvAjmVQbt/Xr12P+/PmYPn06Vq5c2XDq5ptvxquvvorly5djzpzvb6x46qmn8PDDD6tzF1xwQbv7NwwM4hf6/QAFQkG8WOHgmiWiHmnJeYiOappdw8yxBzKLEAVCZv5k0PdAEOhqkVCSLQ7pWrmzai3TULmntkEU1DhWEfQ1JxCSPi2JhLxZh+SOchEe+tLqYYHTka6JhAY26W6xlmvioGxtrqomx83ypixPBEI7cPDgQfUFrrS01C+up6SkqC+D4047A73HzkN8r6bc/DIJjZBAgAlQIBRgwDRPAiRAAp1M4K3dy/GyJhSqr+/kiTkdCZCA6QhYIi24c8pPMaPvdNP5Toc7n4D+goBRD8JNICR87r//fjz33HOYO3cufvSjH6GqqgrPP/885OalN998s6FMmJdlSwIhb5mK9PR0fPfddw1iIxlHgZCXHp9JgARIgARIgARIwHcCIrguKCjAggULMHz4cEgmIBEHvfDCCyprkGRsHDBgQIPBvXv3qu90Iti+9957lRB8zZo1WLJkCc4991y8/PLLsFqt7e7fMDCIX+j3AxQIBfFihYNrKQnFSIgt1y5cu0Mm3EAKhCQbiQgG5MFGAiRwgkBaVHcMjkkLOA4pNyaZhGo8DiUKkgmjIrS7yCIjUeKugqO++b/HWhMIiQ29SMhI1iAZ37g5nT1QWz284ZCIg6Kis2GxmFMcJIEcLyrHns924Uh+kUrFLekh/dEkdaTUo+3RbzgGTF8Eiy3KH2ZpgwQ6lQAFQp2Km5ORAAmQQKcQ+Hj/J1rJsf/jnq9TaHMSEjAnAclce8/pd2FK7+/LG5kzEnrdWQT0FwSMzhuOAiFh9Itf/EJdaKqoqFDIhg4dij//+c+YOnXqKQhbEgjVa6rf8ePH4+qrr8Z9993XZBwFQk1w8A0JkAAJkAAJkAAJ+ERg6dKleOyxx1QZMe8Ai8WiBEO//OUvm4iDvOfle9e1116LHTt2qEPy3W3hwoX4n//5nybioPb2944L1mf9foACoWBdqTDxq3dKLmJCKHuQLFsgBUJh8rFgmCRgiEBnCYTEKREJuTSBXpzlhJikqt7ZqjhIxrQlEJI+0dZoeDOEVdZV+pw1SMZ6m9udAEfNIFVqTI6FgjhI4nBU1iJvey7yd+Riz549eOutt+B0dqyMY0xMDCZMmIAf/EDLHNQ7EwOmLpSp2EjAdAQoEDLdktFhEiABEvCJwLq89Xh6w5J2fSf0aQJ2IgESMC2BbvZu+Nn0BzEi9fsbQ0wbDB3vNAL6CwJGJw5XgZBwcrvdkDIWkgGoR48eRtGxPwmQAAmQAAmQAAmQQAAIuFwu5OXlobCwEMnJyUoUZLfb25xJSsYePnwYWVlZ2o31Fr/3b9NgF3XQ7wcoEOqiheC0JwhQIMRPAgmQQEcJdKZAqLGvvoiDpL9k/Kp2VqtH4/GNX0sWIWvEiQxhvpYU8473eGLgrOsJtytZ++EqTjscoWUlqoU9Kh82+2FvN9M+13vqcfRAMfZqWYTKysqwdu1abNmypd3xSF3ajIwMXHTRRUjvn4n00XOQ0Htou+1xIAl0JQEKhLqSPucmARIggcAS2Fq0DU+u+wMcLkdgJ6J1EiAB0xBIjU3FwzN/jr4JGabxmY4GBwH9BQGjXoWzQMgoK/YnARIgARIgARIgARIggWAjoN8PUCAUbCsUZv5QIBRmC85wSSAABLpCIOSrOMgbri9ZhLx9jTyrrEG1/eHRhEH19Vq5M61FRLhgtR3RSovlaq/rjJgL2r415dU4uCUHxdlHlCr8008/xcGDB9vlb0pKCubMmYORI7MQnz4E/aZchEhr28rydk3GQSQQYAIUCAUYMM2TAAmQQBcT2F2yB79Z+wQq68xbLraLEXJ6EggZAv0S+ylxUEpMcsjExEA6j4D+goDRmSkQMkqM/UmABEiABEiABEiABEggeAjo9wMUCAXP2oSlJxQIheWyM2gS8BuB7rZu6B/ds6Hkl98Mt2BIhEHl7lq44Iaj3t1Cr1MP+1sg1FzWoBOz1mvioBJNHJSjsgid6ok5j3jcHpTllWL/+n2oOlaJAwcO4IsvvjAsEpJUk2eeeSaGDx+OhJ59kTHhPMQm9zYnFHpNAhoBCoT4MSABEiCB0CdwsPwQnlj7WxRXHw39YBkhCZBAswSyeozEQ9MfQJxNMsaykYBxAvoLAkYtUCBklBj7kwAJkAAJkAAJkAAJkEDwENDvBygQCp61CTtPIlCP9JQ8xERVh1Ts5Y5ypoEPqRVlMMFMIC0qGYNjenWKiyIOOuquQp0BYZDXMX8LhFyuFNRWZzZkDfLOY7EeQ3RMtiYOCq2/VyU+V50LR/YW4tDmA6itqUVBQQG2bduG7du3Q+rNttZsNhv69++PqVOnok+fPkhISUfaqNlI7DNcUi61NpTnSCCoCVAgFNTLQ+dIgARIwG8EymvL8eT6P2DX0d1+s0lDJEAC5iAwre9U3Dnlp7BFnsgYaw6v6WWwEdBfEDDqHwVCRomxPwmQAAl0HQGHw4E9e/ZAbpSU30HZSIAESIAESEC/H6BAiJ+JLiNgjXShV/JhRNtrusyHQExMgVAgqNImCTRPoLMEQh0RB4nn/hYIOZ09NIGQJm5p1EQcFBW9HxZL6JagcNY6cWRPAfK25cJR40BFRQXy8/ORk5ODffv24fjx45poql5RidCEP3FxcUoYNHToUKSlpSE1NRUxCanolXUmEtIzWVqs0eeHL81JgAIhc64bvSYBEiCB9hBwepz465bnserA6vYM5xgSIAGTEZD9zMIRC3BZ1kJEaP+xkUBHCOgvCBi1RYGQUWLsTwIkEC4E3n33XRXqyJEjMWjQIJ/C3rRpE4qKitC3b1+MHTvWpzFGOmVnZ2PMmDG4/vrr8eyzzxoZyr4kQAIkQAIhSkC/H6BAKEQX2gxhpSYcQXzscS3The9leswQFwVCZlgl+hgqBDpDINRRcZCwDrRAKBzEQd7PrNPhROmhEhTuOozKIxVwu91KKFReXg6n0wmPx6O6RkZGwmq1Ij4+HomJibDZoxGXmoEew6YjLqUPxUFeoHw2NQEKhEy9fHSeBEiABNpFYPnuFXjpm1fgqT/xnaddRjiIBEggqAlEWaNwx+TbMTXj9KD2k86Zh4D+goBRzykQMkqM/UmABMKFQLdu3dTNirNmzcJ7773XZtiVlZXIzMxUNzlec801eO6559ocY7QDBUJGibE/CZAACYQ+Af1+gAKh0F/zoI2wd0puyJUXE9gUCAXtR46OhSCBQAuE/CEOEuxyAafaWa0e/liGxhmEwkkc5GXndrlRXVaF8oJyFGcXqdda1cqGJlmE5I5baREWK2KS0tG9/2jEJvdBdEIPRGjiITYSCAUCFAiFwioyBhIgARIwTmBLwVd4asPTqHGGVjZe4yQ4ggRCj0CP2FQ8NP1BDEwaEHrBMaIuI6C/IGDUEQqEjBJjfxIggXAhIAIhi8UCl8uFjRs3Iisrq9XQlyxZgocfflj1p0CoVVQ8SQIkQAIk4EcC+v0ABUJ+hEtTxghQIGSMF3uTAAmcSsDfAiERBJW7axsmcsENR71/spz5M4vQCYHQMM3PCC0LWzXs0bmw2Y40+B0uL1wOF2qOV6Ouqg61lbWoPV4DKUMm4iB7rF0TA8XAFpMKD0YiqlsKIm32cEHDOMOEAAVCYbLQDJMESIAEmiGQezwXT3zxJIoqi5o5y0MkQAJmJDA8dTgenHYfEqMSzeg+fQ5iAvoLAkZdpUDIKDH2JwESCBcCIhCaNGkSNm/ejKuvvrrVjECSBX3UqFHIyMjAunXrQIFQuHxKGCcJkAAJdD0B/X6AAqGuX5Ow9YACobBdegZOAn4hYNfSrne3JyA2Msov9sSIUxME1flJEKR3yp8CIZczBbU1Q7UUtlZtmnqtfFYRomP26qcMm/eSMcjtdMNd54LHrZXb0ARCkRatxJhd4xORjNrqUVoWJ2YNCpsPRBgFSoFQGC02QyUBEiCBZghU1FXg9+v/iJ1Hvm3mLA+RAAmYicCcgWfhlgk3wRopezw2EvAvAf0FAaPWKRAySoz9SYAEwoWACITmzJmD2tpaJRLavXs3UlNTmw3/P//5D6699lo8/vjjKotQawKhI0eOoKKiAv3794fV2vp3A8lelJubi379+qlsRr6UGOuI/WaD0x301X5dXZ3yvUePHkhISNBZafpWBFYHDx5EWloa5N+l5pqsQ15eHpKTk9WjuT76Y8eOHUNiYmJDNnr9eb4nARIggVAgoN8PUCAUCqtqwhik8Es6S4yZcOXoMgkED4EYWwzi7fHB41AbnvhTIOR2JWkCocHweE5shiR7UHTs7jY8CM/THnc3JaZyu+PCEwCjDmkCFAiF9PIyOBIgARLwiYDL48I/tv0T72d/ILpxNhIgAZMRsFvsuGHcdfjBoLkm85zumomA/oKAUd8pEDJKjP1JgATChYAIhGbNmoVbbrkFV1xxhRL+/Nd//Vez4c+cORMFBQVYsWIFJk+efEoGIRG//PGPf8S///1vVFVVKRs2mw033XQTHnvsMcTExDSxe/jwYdx2221Ys2aNEijFxcXhhz/8Ie677z5l//rrr8ezzz7bMMaofREdiX3JdiTCG7F/0UUXKftnnXUWrrrqKjz55JPtsl9YWIif//znWLZsGZzOE9ngBwwYoPwVno3b119/jQcffBBfffWV8kMEUyNGjMDSpUvVs/R95ZVX1Njt27drN9Se2BRlZmaqYzNmzGgwJ5meLrzwQtxxxx1q3cSHDRs24NFHH1VxNXTkCxIgARIIMQL6/QAFQiG2wGYJxxLhRlpyPqKjasziss9+ljvK4XA5fO7PjiRAAu0jEM4CIckc5KxLh6N2gIJ3oszYIa3MWHH7YIbwqHpodcDremoioSEhHCVDC1cCFAiF68ozbhIgARI4lcCG/A348+a/oLLuxMWEU3vwCAmQQLAR6B2fjvtOvxcDkvoHm2v0J8QI6C8IGA2PAiGjxNifBEggXAiIQOjMM8/EO++8g7Fjx6KyshKSRchutzdBsHbtWpx99tn49a9/jfPPPx8TJ048RSAk4iAR3IjwRmyVlZXh73//OyQj0EMPPYRHHnmkwaYcE5GOZL+5+eabMWXKFJSWluL555+H/J2/bds26AVCRuzv2bMHc+fObbB/2mmnKft//etfVfaerVu3ttu+ZA2aOnUqDhw4gHvvvRcjR45U2Zc+/PBDPPDAA1i0aFFDnC+++CLuvPNOlV1I4pQSbcXFxXjzzTcVD6/4RzIGCdN58+aprEvvvfceli9frnz95ptvkJKSomx++eWXKuPT7bffjvfffx8TJkxQmYZEsHXllVc2zMsXJEACJBBqBPT7AQqEQm2FTRJPSsIRJMQeR2Sk2yQe++4mBUK+s2JPEugIgXAWCAk3p7OHVjpr+EmELDPW2mfJ407UWGXB7bG01o3nSMB0BCgQMt2S0WESIAESCCiB4upiPPXl09hdsieg89A4CZBAxwlM7zcNP5l4K2KsTbMBdNwyLZDAqQT0FwRO7dH6EQqEWufDsyRAAuFLwCsQEkHKX/7yF5WFRkQ6IvJp3BYuXIjPPvsMIrwpKipqViAk4hXJoiMltLytpKRECV6kBFdOTo73sBKziABGhDLz589vOC6ZfiQDj4hi9AKh9tiXsmjnnHNOg/2amholiNq5c2e77XvFUvfff78STDUY1154PB7tmmGkOiSlwkTA06tXL3zwwQfo06dP466Q0mre8mtvvfUWLr744ibnJZOSrMnTTz+tsjDJSa9ASLIh/eY3v2k43mQg35AACZBACBLQ7wcoEArBRTZDSL1DtLxYlbMaNdrDU+8xwzLQRxIwNQF/C4Tq3HWodp3IahYVaYfY91cT25V1lZASEP5qjQVCFms5oqKztTrTvGO8Ob7WyBhEuvuh5HjP5k7zGAmYlgAFQqZdOjpOAiRAAgEj4K5349Udr+Ht3csb0usHbDIaJgESMEzAZrHh+rHX4uzB8wyP5QASaC8B/QUBo3YoEDJKjP1JgATChUBjgZCUBRs6dCj69u2rhCheBnv37sX48eNVpp+nnnoKu3btalYg5O2vf542bZrKCHTkyBFV5kuEQpJJRzIISeYifXv77beVQEkvENL3877X25fMPllZWUpoJMInfRMxzo9+9KNTBEL6ft73evuffPKJKvMlmYIkQ1JL7Z577lEZkV5//XWcd955LXVr8bj4ftlll+Huu+/G4sWLVT+vQEhKt+Xn5yueLRrgCRIgARIIIQL6/QAFQiG0uGYKJS66AikJR2Gz1pnJ7RZ9FWGQ0+OEy+2kOKhFSjxBAv4jYLdGoZstDtZIq9+M1mjioApHhbJnibTActK2P8RCta5aHHcc95uvYsgrEKI4qG2skRHanSeeFBw/PhwnqlC3PYY9SMAMBCgQMsMq0UcSIAES6BoCW4u24ZmNz6K8trxrHOCsJEACpxBI65aG+6beg0FJA085xwMkEEgC+gsCRueiQMgoMfYnARIIFwKNBUISs5QBk1JeUr7qjDPOUBikRJYIYaTs1+DBg1sVCJWXl6tMQ1u2bMH+/ftVeTHJOiSZgaSsmGQXkmw6CxYswGOPPaZKdOlZewVIzQmEfLEvpb4uueQSld1HsvzoW0ftSxai008/Hfv27VPCH+HjLRXWeK45c+ZAOEgWJYul7azwwnfNmjWqxJuwEvsiArrhhhuwZMkSZdorEBLR0scff9x4Or4mARIggZAmoN8PUCAU0ssdvMFZLS706n4Y0fYT2TqC19O2PWPWoLYZsQcJ+JtAILIHtZThxysW6ohQKFACIUfNENjshVr2oO9TzPqbdajYs9QnIrJuBEprbaESEuMgAVAgxA8BCZAACZBAawTKao9pIqEl2F70TWvdeI4ESCDQBCKAOQPOwvXjrmVJsUCzpv1mCegvCDTbqZWDFAi1AoenSIAEwpqAXiB0+PBhjBw5EvPmzYNkvjl69CiGDRumsv288cYbipVXYHPNNdfgueeea+D38ssvK8FPZWWlKqslWYIGDRqEL774At9++22DQEjGiHBn6dKlKkNOg4GTL0QcM2bMmFMy/Phq/69//avyQ0RNkuVH3zpqX+xJNqQHH3wQy5Ytg9vtVv5Kya/Zs2c3TNevXz8kJiaqcmkNB5t5IYyvvfZaJawSIdHYsWOVECs+Pl4Js5oTCDXOKtSMSR4iARIggZAjoN8PUCAUcktsjoAskW6kJeebXiBEcZA5Pm/0MvQI+Fsg1Dh7UEu0vEIhu1Z+LNZA+bFAlBcTH13OVJVFKCr6gFab2fxiy5a4++t4N0s3pERkYkdJN3+ZpB0S6HICFAh1+RLQARIgARIIegL19fV4c9dbeP3bN+D2uIPeXzpIAqFGICk6CT+ZdCsmpU8MtdAYj4kI6C8IGHWdAiGjxNifBEggXAjoBUIS94033qjEQd988w1ee+01PProoyrrz8yZMxWW5gRC3333ncqqI6KYF154AaeddhoiIjSFsdaknJeU9fJmEHrppZdw6623qkxFP/7xj1Wfxn9s2rRJlQdrnEHIiP0XX3wRt912G6Qc2i233NLYtHrdUfuNDR48eFDFK6Kk6upqvPLKK6r8mPQRkZMIiQoLCxsPOeW1xCliLBEc/fSnP0VKSorqIzFPmjSp2QxCDzzwAH71q1+dYosHSIAESCBUCej3AxQIhepKB3lcloh6TSCUh+io6iD3tGX3KA5qmQ3PkECgCYhYJ9YW65e7L40KeLxCIYnRF7FQILIHydz19XbtYdXEQeb9e1Ti6KyWqJWky7AOwvaj8ah2tZ2WtrP84jwk0BECFAh1hB7HkgAJkEB4Ecguy8b/bn4OB48dCq/AGS0JdCGB0zNOw60TbkZCVEIXesGpSQDQXxAwyoQCIaPE2J8ESCBcCDQnEJJSV1LCSgQrIhBKSkrCunXrGpA0JxB69tln8dBDD+G3v/0t7rjjjoa+8kLKcYnYyCsQWrt2Lc4++2wlHBJhjb49//zzuOeee5pkEGqP/auvvhp/+ctf9ObRUfunGNQObNiwQWVZEhGVlFCTtnDhQqxcuRIbN25EVlaWOtbcH+np6bDb7di7d6969vZ55513cPnll1Mg5AXCZxIggbAmoN8PUCAU1h+Hrgs+UhMIpZtUICTCIKfHCZfbCU+9p+sgcmYSCHMCjYU6URZ7u8VCvmQPagm1+BBjjVFipZb6dEQgJHd8u51uuOq0u7211xabBVa7FRGRJ+4gaWlOHj+VgFVbq1RrMqzuDHxXyixCpxLiETMSoEDIjKtGn0mABEig6wi4PC4s07IJvfndW5DXbCRAAoEhEGePxY3jbsCZ/c8IzAS0SgIGCegvCBgcDgqEjBJjfxIggXAh0JxASGI/55xzlOjF4XDgb3/7mxKqeJk0JxD605/+hF/84hd45JFHlFDI2/eTTz5pyKjjFQjV1NSo7DrFxcVqDilh5m3Hjh3DlClTkJ+f30QgZMS+ZPIZPXo0SktL8eWXX6oSaf60Lz5K6TBvhiSxXVRUhMzMTCWs8gqE3n//fVx66aU444wz8PbbbyMqKsrrhnquq6uDzWZDz549YbVasW/fPsTFxalzUrZMRFTr16+nQKgJNb4hARIIVwL6/QAFQuH6SejiuOXSdnpKLmJMlkGIWYO6+IPD6UmgBQJesZBRoZDR7EHNTR+tCYQSouKbO4X22Pe4Pag8WoGSgyWoKa+Gx+VBveeEGFGEQZGWSNhi7Ejq3R1JGd1hi7I1OzcPnkrAHpGAGNcw5FVGn3qSR0jAhAQoEDLhotFlEiABEggCAofKD6lsQvtKs4PAG7pAAqFFYGyvMbht0o+RGpsaWoExGlMT0F8QMBoMBUJGibE/CZBAuBBoSSDkFbdIdhspdSVCFm9rTiD09ddfKyFMQkICbr/9diXykVJef//735UAZuvWrQ0ZhMSOt8yYZCeSTEVSjksERCIEOuuss7B06dImAiGj9v/1r39BypeJfclsJIIhEeCI/VmzZuGf//xnu+1LCTMpoyYZikQUJGKmV199FatXr8YzzzyjSrR5WV133XV44403VAYhKas2ePBgHDp0SM2/ePFiVYpt0aJFePfddzF37lxcc8012j229ZDMSvJv36effkqBkBcmn0mABMKagH4/QIFQWH8cui54MwqEKA7qus8LZyYBXwl4hULS3xexUEeyB3l9ipRyZy1kETKSPUg2L5XFFSjaXYDKkkrUVtSiprIaZWVlOH78ODyaSEh+lOue3B2yWbR3i0JsUhyS+6Wgx+CeSjjk9YnPzROo9yTCVT0Kte7I5jvwKAmYjAAFQiZbMLpLAiRAAkFEQLLhrtjzLl7b+boStQeRa3SFBExJQMqIXTf2GmYNMuXqhb7T+gsCRiOmQMgoMfYnARIIFwItCYTkd97x48crEcx9993XBEdzAiHpIJmGfv7zn6OyslL1HzRoEERMs2TJErz++utNBELSQcqX3XvvvZCMPNIkk85dd92FH/7wh0owdP3110NKi3mbUfsyp5Qq09ufN28eJk+ejDvvvBNPPPGE17zP/q9ZswY/+9nPsGPHDrhcJ7KapqWlQTjddtttDfbkhfweLjFI6bXy8nJ1rnv37pBSZE8++ST69u2LgoICJVYSu9JiYmJw1VVXKVsTJkygQEhR4R8kQALhTkC/H6BAKNw/EV0Yf28TZRCqclahxlnDkmJd+Hnh1CRglIBXLNSSUKg92X1a8qElkZCvAiGXw6VlDDqKwu/ycVzLHpR78BB27tyJkpISSLpUecjGUtKlSjrV+Ph4dcfE8BHDkZiSiOT+qUgb0RsxCTEtucjjGgG3O0kTXY1GPWmQQIgQoEAoRBaSYZAACZBAFxI4XFGAP295Dt8V7+pCLzg1CZiXgJTHmD1gFq4Z8yPE25vPLGve6Oh5qBDQXxAwGhcFQkaJsT8JkAAJtI+AlPeSTD3JycnIyMho04j8Xrx//37VT7LrtNXaa1/mGTJkiDLvzY701FNP4ZZbbmkypRH70vfbb7+FCH769++vfvduYkz3RjIHVVRUYMSIEYiMPPXmz7y8PEjZtaysLNjtdt1oviUBEiCB8Cag3w9QIBTen4cujT7aVovUpEJE2Rxd6kdbk1Mc1BYhnieB4CbgFQqJl43FQv7IHtQ4cn2pMV8FSM5aJ4r3H0HBjnzkH8iDN2Ws1HmWOtXNNYvFomo1y0ZRUsgOGzkMKQN6oPeoDC2rUGxzQ3hMI+ByaQKhqtFkQQIhQ4ACoZBZSgZCAiRAAl1KQH7w/yD7Q7z0zSsQgTsbCZCAbwT6JPTGrRNuRlaPLN8GsBcJdBEB/QUBo25QIGSUGPuTAAmQQOgSkJJjktVHynrNnj07dANlZCRAAiQQQgT0+wEKhEJocc0YSrStRhMJFQWlSEhKijk9TrjcTmYOMuOHiz6TQDMEGouFPB43XJ4TaUyb6Wr4kNiOaVRqzJfsQW6XByUHinHoqwM4sCcHX3zxBXJyciB3UPjSpH61pGCdOHEiJk6ZiNTBvdB3XD/YY3iXRHP8KBBqjgqPmZkABUJmXj36TgIkQALBR6C0plSJhD4/tEZlrww+D+kRCQQHAZvFhouHX4RLtIct0hYcTtELEmiFgP6CQCtdmz1FgVCzWHiQBEiABEKWwJ49e5CZmQnJlNi4bdiwAfPnz1dZfNauXdtsJp/G/fmaBEiABEggOAjo9wMUCAXHuoS1F8EoEmLWoLD+SDJ4Emg3gcZZhHwRCJUXHEPOxmzkfLsfsqnavXu3KidmxAHJJiQioWnTpmHsxHHondUHGWP7GTERFn09nmjUOfrDWdczLOJlkOFBgAKh8FhnRkkCJEACnU1gT8le/H3bUuwt2dfZU3M+Egh6ApN6T8S1Y65B7/j0oPeVDpKAl4D+goD3uK/PFAj5Sor9SIAESCA0CCxYsECVOjv//PMhpcuktNe2bdvwxhtvQP5NWL58OU4//fTQCJZRkAAJkEAYENDvBygQCoNFN0OIwSYSKneUw+FqvrSPGXj66mOsLVZlUJFSSGwkQAIdJxCpZRGK1bIIWSOtqKyrbDVDkaPagcNaWbF9G3djy+YtWLduHWpr21fSwWq1qs3aWXPOwpDRmRgwZRDieyR0PKAQsuB2J8JRPRJujzWEomIo4U6AAqFw/wQwfhIgARIIHIF61GP1wc/xslZ2rLSmLHAT0TIJmIRAv8R+uG7sNRjba4xJPKabJPA9Af0Fge/P+PaKAiHfOLEXCZAACYQKAREArVixAps2bUJ2drYKKz09HTNnzsTixYvRu3fvUAmVcZAACZBAWBDQ7wcoEAqLZTdHkMEkEgplgZCIguyWE+WHRMTgqfcoIQNFQub4/4ReBj8BySJk11LOH3ccb9XZstxS7F+/Fzu+3oEPPvgAJSUlrfZv62RMTAwmTZqEH8yfh7Th6RgweVBbQ8LqvNuVhJqq0dqlLjYSCB0CFAiFzloyEhIgARIIVgKSFfPNXW/hnT3vwqmV32YjgXAjkBiVgMtHLcLcgXMQGREZbuEz3hAhoL8gYDQsCoSMEmN/EiABEggdAmVlZbDb7YiLiwudoBgJCZAACYQZAf1+gAKhMPsABHu40bZapCYVIsrWtdl7Qk0gpBcF6X/UcnlcFAkF+/8c9M80BCSLUCQiWs0e5HF7ULi7ALs+26nuxPj0009RX99x6YqkfD3vvPMweNwQDJkxDLZom2m4BdpR10mBUKDnoX0S6EwCFAh1Jm3ORQIkQALhTaCo6gj+uf1f+DJ/A6i4Du/PQrhEb7NYce6Qc3DpiAWQ31TYSMDMBPQXBIzGQoGQUWLsTwIkQAIkQAIkQAIkQALBQ0C/H6BAKHjWhp6cJJCekofYqKou5REKAqG2REF6wBQJ6YnwPQkEjkBtRS3yth/C1lVfYdWqVdi7d69fJktOTsaMGTMw8wcz0W/SQHTvk+wXu2Y3Ul9vR52jj/bIMHso9J8EmhCgQKgJDr4hARIgARLoBAI7infilR2vYvfRPZ0wG6cggc4nEBkRgel9p+HyrMuR1q1X5zvAGUkgAAT0FwSMTkGBkFFi7E8CJEACJEACJEACJEACwUNAvx+gQCh41oaenCQQDAIhEctU1FX4nEK9sRhHv5BVziqf7ejHGn3f2A8pH6bPFNSWPYqE2iLE8yTgHwLHi8pxcHMONq3eiJUrV+L48dbLkfk6q6R7HT9+PC5YcCF6j8pAH+3BBnjcCXBUD9eyOkURBwmEFAEKhEJqORkMCZAACZiKwNbCrXjt2zewp8Q/QndTBU9nQ5JAhCYMOq3PFCwaeRn6JfYNyRgZVPgS0F8QMEqCAiGjxNifBEiABEiABEiABEiABIKHgH4/QIFQ8KwNPTlJIBgEQuKKkSxCiVGJiLI2f+FZRDeeeo+KLikyGjERLZf8yXeU4Lir+iQJ3546KgrSz0KRkJ4I35OA/wmU5ZUiZ/0+bPxiI1asWAGXy+WXSeRH7TFjxuDSyy5Fr+HpGDB5kF/smt2I+2R5sY4XcTM7CfofagQoEAq1FWU8JEACJGA+Al8Vfo3Xdr6OfaXZ5nOeHpOAEIgAJqVP1DIGXYaBSQPJhARCkoD+goDRICkQMkqM/UmABEiABEiABEiABEggeAjo9wMUCAXP2tCTkwTMJhCKtcVp9ehj2szW0z0yBkmWaGh5fVpc60p3Leo0QVFrTURELu0HLLvFrrq1J1NQa/blHEVCbRHieRLoGIHS3BIlENq0bhOWL18Ot9vdMYMnR4tAaNSoUVi4aCF6DUvHwNMG+8Wu2Y24TgqEzB4H/ScBPQEKhPRE+J4ESIAESKCrCGwu2KIJhd7A/rL9XeUC5yUBwwTG9hqDK0YtQmZypuGxHEACZiKgvyBg1HcKhIwSY38SIAESIAESIAESIAESCB4C+v0ABULBszb05CQBswmEWsse1HhR0yzxiI88IeppfNzo6zznMVTVO9sUJBm1q+9/3FGBWleN/jDfkwAJ+IHAscNlyNmQjc1rN+Gdd95BbW2tH6wCFotFZRC65LIFSB/RG/0mDPCLXTMb8Xhi4agZpGVp6m7mMOg7CTRLgAKhZrHwIAmQAAmQQBcRqEc9Nh3ejNc1oVDOsQNd5AWnJYHWCchNFZIx6KJhF2B46vDWO/MsCYQIAf0FAaNhUSBklBj7kwAJkIB/CBw4cAC///3vsXr1auTm5iI5ORmnn3467r//fkycONE/k9AKCZAACZBAyBPQ7wcoEAr5JTdfgKEoEPIle5CvK1XorkSFx+Fr93b1q3bWoEYrdeb2+CerSbuc4CASCGEClSWVyP36ALZ8thkfffQRCgsL/RJtXFwcJk+ejPkXzEefsf3QKzPNL3bNbOREebEs7XJVy9nbzBwffQ9vAhQIhff6M3oSIAESCFYCXqHQu3vfw87ib6F9EWMjgS4nIFmYZw04Ez/MPA+943t3uT90gAQ6k4D+goDRuSkQMkqM/UmABEig4wS2b9+Oc889F2VlZZC/h/v27Yu8vDxUVVXBZrNh6dKluPjiizs+kZ8sOBwO3HDDDcjIyMDvfvc7P1mlGRIgARIgAX8Q0O8HKBDyB1Xa8BsBrXIW0lNyERNV7Teb7TUkZbYq6irgdDtbNdFWBiF/ioPEkUALhKqd1Zo4qIbioFZXnSdJoGMEnA4nCr7Nx45V27Fu3Tps3LixYwZPju7Tpw/mzp2LsdPGYdDUIYhNivOLXTMbYXkxM68efW+LAAVCbRHieRIgARIgga4mIJmE3tOEQmtz17W5t+5qXzl/aBJIjE7E/MHztMfZSIhKCM0gGRUJtEFAf0Ggje6nnKZA6BQkPEACJEACASVQX1+PadOmQURCN998MxYvXgy5MdTj8eCZZ57Bf//3fyM+Ph67du1CUlJSQH3x1bgIl3r27Inhw4djy5Ytvg5jPxIgARIggU4goN8PUCDUCdA5he8EIuFBWkp+UAiExOtyRzkcrpaz9cTa4hBri2mx3Je/xUHiUyAFQiIOqtbEQR5mDhLUbCQQMAKyySvOPoI9n3+HrV9txfvvvw+ns3UxYlvOSKr8kSNH4oILL0Dv4RnInDkMkZbwzpqjyovVDoTLmdwWPp4nAVMSoEDIlMtGp0mABEggLAkcqz2GD/d/jI+yP8Kx2vKwZMCgO5dAn4Q+KlvQmf3PgGQPYiOBcCagvyBglAUFQkaJsT8JkAAJdIzA119/jRkzZmDEiBHqxtLIyKa/8Uqmntdffx1LlizB9ddff8pkbrcbFovllOMdPSC/actD74/YNSIQCpR/HY2P40mABEggVAno9wMUCIXqSpskrtryYlQUZaPmWBE8ThHieBBlr4XNWo+YbjFI7dMTPTJ6wBbdNT/mtCUQai17UCDEQbKsgRIIURxkkv9p6GbIEJAyY4e2HMCer3bh888/x44dOzoUm9yhceaZZ2LC6RORMY7lxQQmy4t16CPFwSYgQIGQCRaJLpIACZAACTQh4PQ4sfbQF3h370oc0LILsZGAXwloaamzemg3TQz9ISamT0CE9h8bCZAAoL8gYJQJBUJGibE/CZAACXSMwGuvvabKdd122234/e9/77Oxd999V2UbksxC8ne//FYs2YcGDx7cYOOWW27BO++8g5UrV2L8+PENx3/2s5/hxRdfxMsvv4yzzjpLHf/DH/6AP/7xj3jwwQexefNmfPTRR5CbVOW8HJds9tJENJSeno6KigolHurWrRsee+wx3HTTTepc7969VYm0G2+8EU888QRKS0vVja6/+tWv1Lj58+crX8Snxu3xxx/H//7v/+JPf/oTrrjiisan+JoESIAESMAAAf1+gAIhA/DY1X8EqooPoSx3B2rLj8BZXQ6XoxqO2hqVQUPUx1FRUbBroqCYbrFKKNRrQDoyMvsiOi7af074YKm9AqFAiYPE5UAIhCgO8uHDwC4k4GcCHrcHR/YWInv9Xuz6dhdWrVqFI0eOtGsWSTErG7oZM2eij5Y9SMqL2aJt7bIVSoNYXiyUVpOxNEeAAqHmqPAYCZAACZCAWQjsKN6J9/d9gM0FW+Byu8ziNv0MQgJJ0UmQTEFnDZiNDC1zEBsJkEBTAvoLAk3Ptv2OAqG2GbEHCZAACfiTwEsvvYRbb70Vd999txL4+GJ7xYoVuPLKK1XXrKwslJSUoKCgQAlw1q1bp8p/ycmrr74ay5Ytw+rVqzFp0qQG03fddRf+7//+D2+99RbmzZunjotARwQ90rp3765EPSI+EtujR4/G2rVrYbValQho1qxZSkQUExOjzv30pz/FggUL1DkRDEkTcdGECRPgcDiQk5OjbpqVkmTjxo3Dvn37VMm0jIwM1Vf+kGz5RUVFqm9CAkvFNoDhCxIgARIwSEC/H6BAyCBAdu8YAY/LiaPZm3A8fzdqjx9B7sED2L17N44ePYq6ujpVQ1W+JEj6Q/kiMXDgQAwdOhQpPVOR1LM7hk4ahu49kxER2Tl3gbVHIBRIcZDQ97dAiOKgjn2mOZoEOkKgtrIW+dvzkPPVPnz77beQzZrcQWGkyd+VsumbPn06Mob2w4DJA5GYFhy1p43E4e++Hk+MJjztr5UX6+Fv07RHAkFDgAKhoFkKOkICJEACJNABAhV1FSqr0KqDq5Fdmt0BSxwaTgQskRZMSBuPswbOxsS0CZD3bCRAAs0T0F8QaL5Xy0cpEGqZDc+QAAmQQCAItEcgNHbsWCWyaSzwkQxEkhXo3nvvVRl9xNf2CIQuvvhivPDCC+qaXXV1tRIQSRk0yfgjWYqktVRiTLILiUBIfsN+7733cNppp6n+8ht4cnKyei2Zin75y18qMdKdd96pjm3cuBGzZ8/GZZddhqVLl6pj/IMESIAESKB9BPT7AQqE2seRo9pBwF1XiyO71uJY7k4U5R9UauLc3Fx1MbympkYpiRubFZFQYmKi+pIgCuLMoZnolZGGkVNHaaXHeiDS0rTuauOx/nrdmkAo1hYLeURGfO9HoMVBEpc/BUIUB/nrk0I7JNA+ArJBqiqtQt62Q8jdeVBt4rZs2YJDhw75ZDApKUndYSF3bGQM7quVFuuPlAEpzdaB9slgCHVyuxNRU5Wl/dvCCwUhtKwMRUeAAiEdEL4lARIgARIwPYHc47lYdWA1Pj+0BmU1ZaaPhwH4n0AfLUPQWQNmYVb/MyGZg9hIgATaJqC/IND2iKY9KBBqyoPvSIAESCDQBIwKhPbv36+y9kyZMkVlqff6JxmEhgwZglGjRmHDhg3qcHsEQs8//zyuuuoqr1lVXuyRRx5Rpb8k05G0tgRC/fv3VzfINhhp9CIvLw8jRoxQ2YUks5G0Bx54AH/+85+xfPlyzJ07t1FvviQBEiABEjBKQL8foEDIKEH2bxeBeo8bhTtXozRnK/bu2qHEQZJCsLa2tk17klEoJSVFfYmR9IN9B/fD2DPHoXtaikpJ2KaBDnRweZyoqKuE0+08xUpiVCKirFENxztDHCST+UsgRHFQw9LxBQl0KQGPx6NEQgU785H/XS6KjxRDNnU7duxAcXHxKeJJcVbuupDsarJxSktLQ6/+aZo4qB+S+iTDaqMgRhixvJhQYAt1AhQIhfoKMz4SIAESCF8CnnoPthZuw6qDn2HT4c3N7snDl074RR5ji8G0jKkqW9DwlGHhB4ARk0AHCegvCBg1R4GQUWLsTwIkQAIdI2BUICSlvs4++2xcccUVqkxY49l79uwJu90OEeFI84dASIQ7IuCR8mPejD8dEQiJX+eff74SN0mW/b59+yphkyQRkAokkZHf36QvfdlIgARIgASMEdDvBygQMsaPvdtJoCR7C4p3r8Pe77aruqQHDx6E03mq6KY18/Hx8Zg4caJ6ZI4ZiqxpoxGfHPi6oy1lEdILhNIs8YiPtLcWgl/O+UMgRHGQX5aCRkjAbwTqPfWQcmMlOcUo2lOA0sJSVcu5srIS8pANlgiJJBWr/F0YFxcHyR6U0isVqQN6oNfQNMSldIPFSnGQLIrHE406Rz8463r5bY1oiASCkQAFQsG4KvSJBEiABEjA3wQq66qwPm89NuRvxI7iHZpYyOXvKWgvCAnER3XDpPRJOK3PFIztNQZ2S+B/bwlCDHSJBPxCQH92V3AEAAAKSklEQVRBwKhRCoSMEmN/EiABEugYgVdffRU33XQTbr/9djz55JNtGluzZg3mz5+PK6+8UpUCazzALAIhb8yLFy/G+PHjce655+K+++7Do48+2jgcviYBEiABEmgHAf1+gAKhdkDkEGMEHBWlyP96JYoOfIcP3l+pFL9GxUHeGRMSElR905FZIzFulpZNaFh/2KJs3tMBefZVIBQVYUUPSxxitOdAto4KhCgOCuTq0DYJdIyA0+FEtVZyrKL4OEoPlqDyaAUctQ4lqJRyZFarFfYoO2IT49A9I1nLGNQdsd1jERUfg4iOTR1So0+UFxuhZV8K7L8PIQWNwZiSAAVCplw2Ok0CJEACJNABAjXOGnxV+DU2Ht6Erwq+huxv2UKHQHJMMqb0maxEQVk9RsISwRsgQmd1GUlXEtBfEDDqCwVCRomxPwmQAAl0jMDGjRsxe/ZsjB07FuvWrTvFmGTv+c9//oPf/OY3KmvQvn37VN9p06bh448/buh/9OhRSGkvyUK/efNmdfyGG27Aa6+9hg8//BAzZsxo6CuCJBHpvPXWW+oanJx4/PHHVZYgfYmxQGQQkhtkBw4ciGHDhqlYli5diq1btyIzM7PBR74gARIgARJoHwH9foACofZx5CgDBAp3fobS/V9h1ScfQr7YSDaMjrR+/frhnHPOwYixIzFWEwl179W9I+baHNucQCjWFgt5REY0TW3YGSKhjgiEKA5qc7nZgQSCgoDL4UJtRQ2ctU54XB64XW5VasxijUSkliXIarciqls07LH2gJdaDAogBp1geTGDwNjdtAQoEDLt0tFxEiABEiABPxBweVxaRqGd2Ji/SZUhK60p9YNVmuhsAmnd0pQg6HQtU1Bmcib3N529AJwvLAjoLwgYDZoCIaPE2J8ESIAEOkZAMslLFh0R/tx777349a9/3VBm65VXXsGtt96KqKgo7Nq1C6mpqep346ysLBw6dAgffPBBg/DnoYcewrPPPos77rgDv/3tb5VT8vzYY4/hJz/5Cf7whz+oY1LxQ8RFx44dw7Jly1S5MjlhRCBUW1uLlJQUVRps27Ztyq78ITe9duvWTQmVpHxYa03ikvJqUlpMqomsWrWqte48RwIkQAIk4CMB/X6AAiEfwbFb+wh4XHU4sP4/OJKzA2+++SZycnLUF4L2WTsxSr4cXHDBBRg1ahSmnj8d6YN6IyKANUibEwhZLTbE27rBpj3rW6BFQu0VCFEcpF8pvicBcxDQ9lDa35se7Q9of9dF8Adz3bLJhrlKy7pUeuAoajRRVb0mqPJomYM87kRYbNGITU5HQvpQ2GIDX5JS5xrfkkDACVAgFHDEnIAESIAESMAkBOq1L8v7SrM1odAmbC/6BvuP7Ydb+57IFnwEoqxRGJE6HKN6jsKEtHHon9g/+JykRyQQYgT0FwSMhkeBkFFi7E8CJEACHScgmYMuvPBCVFdXQyprjB49Gnl5eRAxT0REhBL+XHfddQ0TSVYgyQ5kt9sxefJkSPag3bt3K9HO+vXr0adPH9X3wIED6rzYFZs9evRocmN/ewVCYnzIkCEoKCjAhAkTcM899+CSSy4xJBDylkoTW8888wxuvPFGeclGAiRAAiTQQQL6/QAFQh0EyuGtE6gqyUP+VyuxZd0qfPrppygt9c8dfePGjcMZZ5yB0+dNw+CxQxAVG926Ix046/I4UVFXCafb2cRKYlQi5Iet5logRULtEQidEAdVQy6ks5EACZBAKBBw1blQmluCo/uL4aypQ+3xWridLtR7NCWVNG2jHBFp0cpQxsEW110rw5aC7v1GIS6174nz/JMEQoAABUIhsIgMgQRIgARIICAEqrVSZN8d/Q47tQxDO47sRM6xA5qInPvhgMBuw6jNYtUyAw3F6J5ZShQ0VMsSZI0MbGn2NlziaRIIOwL6CwJGAVAgZJQY+5MACZCAfwh88803ePTRR7F69WpICS6r1YpJkyZBMgPNmzfvlEkku9DixYshIiDpO3XqVJUlSG62b9w+//xz3H333UpAJIKihQsXoq6uDm+88Ua7MwiJfSl7JhmPSkpK8OSTT+L22283JBCSbEPp6elwOp3Yv38/EhMTG7vN1yRAAiRAAu0koN8PUCDUTpAc5huBo3s3onjPeqxY9jokraDD4fBtYBu9kpOTcdFFF2HSjMkYNWMMElIC+0XBaBYhcT9QIiGjAiGKg9r4MPE0CZCA6QhUllQi96sDqC6vRlVZJY4WH8XevXtRVFSkNrMSUKSWWS4uLg5SlnLQoEFISEpGdEIPlU2o5/BpSkBkusDpMAnoCFAgpAPCtyRAAiRAAiTQAoEqZxW+LT4pGNJEQwePHdQEQyeF5S2M4eH2EbBo38MHdR+E0T1GKUHQ8NRhiLI0f3NV+2bgKBIgAaME9BcEjI6nQMgoMfYnARIgAf8TKCsrU5mEpMJGW03ERCL8sdlOrYDReGxlZSXk3wgREwVD27p1K6ZPn64ES//4xz+CwSX6QAIkQAIhQUC/H6BAKCSWNXiDOLztI5Qd2I5XXnoRe/bs8VsGG/lis2jRIoybNA4T5k5GcnpKQCE0JxCSCVsrNSbnAyESMiIQojhIVoGNBEggVAi4nW6U5ZUgf0c+Ko6U40jREWzevBmFhYWqRnZNTQ3cbrcKV1Ltyr8VUuNa6l8PGDBApbftlpSK7v3HoNeIGYi02kMFDeMIUwIUCIXpwjNsEiABEiCBDhOo1LIE7y7Zo5Uiy0FO2X71XFx9VJX17bDxMDIg37nTu6VjcPeBShQ0KGmQ9noQYmwxYUSBoZJA8BPQXxAw6jEFQkaJsT8JkAAJkEB7CEhJsX//+9949913MXv27PaY4BgSIAESIIFmCOj3AxQINQOJh/xHIG/LeziWuxP/enEpsrOzVTpBf1iXzBBXXHEFxowfg0nzTkNKn1R/mG3RRksCIRnQ2SIhXwVCFAe1uJw8QQIkYEICdVoZseLsIyjaVYDy4mPq3xSpxV1cXNxmdjpvNqHMzExVY7tPv4FIHjge6aO0jaZ2UYONBMxKgAIhs64c/SYBEiABEghGAhV1FdhflnNSNCTP+1FYWeS33zGCMWYjPkVGRKJ3fPoJIZAmAhqcNBADtQfFQEYosi8JdA0B/QUBo15QIGSUGPuTAAmQAAkYIbBy5Uo8/PDDquSZlEX75JNPjAxnXxIgARIggTYI6PcDFAi1AYynO0Ygf+tHOHbQ/xmEJOXh5Zdf3uUZhLx0EqMSEWVtOWW2PzMJ+SIQojjIuzJ8JgESCAUCTocTxfuKcHhHHipKK1Q5Mam9LeIgIy0qKgpDhgzBjBkzkDFgCFKHTEbP4dONmGBfEggqAhQIBdVy0BkSIAESIIEQJCB76wNaObL8ysOaWKhQPYo00VBhVRFqnDUhGDEQZ4/TsgKlIc37iOulhEH9E/sj2hodkjEzKBIIdQL6CwJG46VAyCgx9icBEiABEjBC4NVXX8X999+PmTNn4umnn0avXr2MDGdfEiABEiCBNgjo9wP/HwAA//+VDgBgAABAAElEQVTsnQV8FNfeht+Ne0KM4O6FlgpQL3VvqbfU/dblq93Kvbe3rrd2a7fu3lI3CtShWAV3AoS4yybZfOc9dNLNEtskJJvkPf3BbnZnzpx5zsyWyTz7/l0lJSU1qKdFRUXV82rdl75ZWY28snpXr7ugfuq2BLKXz0bWsh8x7d03sXDhQlRUVLQJi8TERBx99NHYeY9dsN0e4xCXFN8m/TbUSZWnEkXuYlRWV9a7SEhwKGJDYxBqHhtq4a4QpARHI9I8tqZlVBejyNMwx9LKUpRWlcLj8bRmM1pXBERABAKCgMdTg/z0XKz6aQXKC8uQnp6Ojz76CJmZmS0aX3h4OEaPHo2DDjoICWmD0Gf8QYhK7NOivrSSCHQ0gYE9grBjn6Amh1FaWtrkMo0twOsC/ruivLy8scX0ngiIgAiIgAh0KwL55QXYXJKBjOLN5o95NM83l2ShwLxeWFFor8sRYL8yc7lciA6NQlx4HOLD45EanYq0mJ7mTxp6mT98jA2L7VbzqJ0Vge5AICIiAkFBQSgrK0NNjf8fTLoe6A5HifZRBERABERABERABESgqxLwvR5wSRDqqlMdGPtVmpOO9HmfYt6P32D69OnIyclpk4GNHz8ee+65JyYdtBuGjBuK8KiINum3sU4KKgpQUdWwmNNcSSgEQegRHNliUai8pgrZ1aUoq6krK1EMchuRiTKT5KDGZlLviYAIdCYCJbklWP3zChRszEdeXh5mzZqFBQsWtGoXYmNjseuuu2L3PfdGQv/t0HfHQ1vVn1YWgY4iIEGoo8hruyIgAiIgAiLQNIFKc21OUYh/Cv589H5e4i4Bl6n0VKHKfBlpy3PzWG1+tq9vec7X2UKDQu2XkkKDQmqfh/C5+aKSfe/P97cIQPFGAIr7UwTiY7x9HhceC66jJgIi0L0I+N4Q8HfvJQj5S0zLi4AIiIAIiIAIiIAIiEDgEPC9HpAgFDhz0yVH4qlyY833byBr3RK88cYbWLt2bZvs55QpUzBmzBjsevge6D2kN1zmWzDbujUlCHH7/AZeeEh4k0NpbZqQb4qQUoOaRK4FREAEOiGB6qpqZK/KwqofloPPV65ciXfffdd+67E1u8NvTg4aNAjHHHMMUvqPwIBJxyEkIro1XWpdEegQAhKEOgS7NioCIiACIiACIiACIiACnYqA7w0BfwcvQchfYlpeBERABERABERABERABAKHgO/1gAShwJmbLjuSzYtmIWflXMz65kv89NNPKCoqatW+8qYuS8OM2n40tt9nPBJSe7Sqv+au3BxBqDkpQs72WiMJeQtCkoMconoUARHoagRK80uxds4q5K7LgUk8xJw5czBz5sw22U2Wqpw8eTLGT9gdPUfticRBO7RJv+pEBNqTgASh9qStbYmACIiACIiACIiACIhA5yTge0PA372QIOQvMS0vAiIgAiIgAiIgAiIgAoFDwPd6QIJQ4MxNlx2JuyQf62e/j4w1i/HJJ59gxYoVqKqqatH+8oL04IMPxshRI7HL/hPRb+QAhIS1Tzx2cwQh7lR7SEKOICQ5qEWHkVYSARHoJATyN+ZhydeLUO2uQkZGBj7//HOsWbOmTUYfFhaGcePG4Ygjj0Z831Hot8uRbdKvOhGB9iQgQag9aWtbIiACIiACIiACIiACItA5CfjeEPB3LyQI+UtMy4uACIiACIiACIiACIhA4BDwvR6QIBQ4c9N1R1ID5K37FUwSWrtisb3Bu379eng8Hr/2mTdz9957b+ywww4YvsNIjJo4GjE9Yv3qozULN1cQ4ja2tSRUXlOFdRXZyHEX+M2xNQy0rgiIgAi0F4GamhrkrM0xgtDvgPn/CEtUvvPOOyguLm6TIbhcLgwdOhRTp05FTM/BGLTHyW3SrzoRgfYkIEGoPWlrWyIgAiIgAiIgAiIgAiLQOQn43hDwdy8kCPlLTMuLgAiIgAiIgAiIgAiIQOAQ8L0ekCAUOHPTpUdS7S5H9orZyDalxtavXo5vv/0Wq1atgtvtbtZ+x8fHY9KkSRg7diz6Dx9o5KAxSOqVhKDgoGat3xYLVXkqUeQuRmV1ZbO6iw+PR3hIeLOW9bfc2IaKXGw0f9xmTGoiIAIi0BUJVFdVI2tFJlZ8txSUhZgc9MYbbzT7/xvNYTJ48GCcdtppRhAahMF7Tm3OKlpGBAKKgAShgJoODUYEREAEREAEREAEREAEApKA7w0BfwcpQchfYlpeBERABERABERABERABAKHgO/1gAShwJmbLj+SytJC5K5ZgJxV87Bp/WorCM2fPx9ZWVkNpuCEh4dj5MiR9s+AAQOMHDQAw8YPR3KfFASHtk9pMe+J2VYpQtyGP5LQstKNyDLpQWoiIAIi0FUJVJmyYpuXZWD1TytQXV0NJs+9+eabKC8vb7NdHjJkCE491RGETmmzftWRCLQXAQlC7UVa2xEBERABERABERABERCBzkvA94aAv3siQchfYlpeBERABERABERABERABAKHgO/1gAShwJmbbjGSyrIiFGeuQfbyn5G3eR2yMjejoKAAmzdvtqJQWVkZgoKCwMSgXr16oUePHkhOTkZiUiIGbTcY/UYOQEJyDyMHBXcIL38EIQ7Qn1JjXL65kpAEIdJSEwER6MoEqiqrkbk8wyYIVVZWIjs7G9OmTbP/r2iL/Q4ODrby6fEnnIC4XsMwYNfj26Jb9SEC7UpAglC74tbGREAEREAEREAEREAERKBTEvC9IeDvTkgQ8peYlhcBERABERABERABERCBwCHgez0gQShw5qbbjMRT5UZ5QRaKs9aiIH0xSvIyUFpSBMpBvAnscrnA5KDo6GhEx8Wg18Be6Gn+sKRYZEwkXEYg6qjmryDEcW4LSUiCUEcdAdquCIhAexHweGqQvToLi7781ZYVY0nK7777DvPmzWuTIcTGxtrSlXtN3h9Jg3dCzzF7t0m/6kQE2pOABKH2pK1tiYAIiIAIiIAIiIAIiEDnJOB7Q8DfvZAg5C8xLS8CIiACIiACIiACIiACgUPA93pAglDgzE23G0l1RRkqinNRVVECJgtVlhagurICQcEu9EisRlxCGMIiwhAdH4Oo2CjzeseJQc7ktEQQ4rrx4fEIDwl3umnykUlCycFRiHKF1rusBKF6sehFERCBLkYgd30OFn3+my0xxl1btGgR3nvvvTbZyz59+uDoo49Gv2Fj0W/nIxARn9om/aoTEWhPAhKE2pO2tiUCIiACIiACIiACIiACnZOA7w0Bf/dCgpC/xLS8CIiACIiACIiACIiACAQOAd/rAQlCgTM33XckNTXwVFfCU+mGx1NtSowBvVKyEBNdGRBSkPfEtFQQ8jdFiNtsTBKSIOQ9K3ouAiLQVQkUZRZixbdLUZRjJFKTMJeXl4dPP/0U69evb9UuM6Vu7NixOOTQQxFvyosN3O2EDk2na9XOaOVuTUCCULeefu28CIiACIiACIiACIiACDSLgO8NgWat5LWQBCEvGHoqAiIgAiIgAiIgAiIgAp2MgO/1gAShTjaB3WW4vZLSERVeEnC721JBiDvSlpKQBKGAOzQ0IBEQgW1AoLK8EpsWbcDqOSttmbGQkBD88ccfVhKiMNTSxvSgI488En0Hj0TadpOR0HdUS7vSeiLQoQQkCHUofm1cBERABERABERABERABDoFAd8bAv4OWoKQv8S0vAiIgAiIgAiIgAiIgAgEDgHf6wEJQoEzNxqJF4GuKAhx9/wtNcZ1mCQU4gpCQlBEbckxCUIkoyYCItDVCdSYhLmCjflYNmsJinILbYqQy+XC7Nmz8d1334Hv+9uSkpKw3377YfSYsYjvMwJ9djwUwaHNLwHp7/a0vAhsSwIShLYlXfUtAiIgAiIgAiIgAiIgAl2DgO8NAX/3SoKQv8S0vAiIgAiIgAiIgAiIgAgEDgHf6wEJQoEzNxqJF4FAFIRKKktRZv54ajxeI/XvaUtShJwteJcckyDkUNGjCIhAVydQWVGJjMUbsWbOKpsiREGovLwcc+fOxc8//2xfaw4DrpeSkoK9994bw4YPR3zPgehr5KCI+NTmrK5lRCAgCUgQCshp0aBEQAREQAREQAREQAREIKAI+N4Q8HdwEoT8JablRUAEREAEREAEREAERCBwCPheD0gQCpy50Ui8CASiINSa8mJeu9aiUmPO+k6aUFZ5LoqNrKQmAiIgAt2BQFlBKdYvWIfM5RmoqqqyyUFutxvLly/HggULsG7dukYxREZGYsSIERg/fjx69+6NuNQB6L3DQYhK7N3oenpTBAKdgAShQJ8hjU8EREAEREAEREAEREAEOp6A7w0Bf0ckQchfYlpeBERABERABERABERABAKHgO/1gAShwJkbjcSLQFcWhLibrUkS4vqFFYUoryrnUzUREAER6PIEPJ4alOQWY+Nv65G1MtNKQh6PB0wFys7ORlZWFtavX4/09HQUFRWhuroa4eHhYDmxAQMGoE+fPkhMTERSSipiUgai5+i9JAd1+aOme+ygBKHuMc/aSxEQAREQAREQAREQARFoDQHfGwL+9iVByF9iWl4EREAEREAEREAEREAEAoeA7/WABKHAmRuNxItAVxeEuKvx4fEIDwn32uvmP5Ug1HxWWlIERKBrEKAQVJZfZlOEMpZsBEuPBQUFga/X1NSguLjYykGVlZX2teDgYDA5KDY2FtHR0YiIS0by8EmI6tFbZcW6xiGhvTAEJAjpMBABERABERABERABERABEWiKgO8NgaaW931fgpAvEf3c1QhUmy+mBQe5utpuaX9EwBKoqakyX7IMEQ0REAEREIFuTMD3ekCCUDc+GAJ517uDINSaFCEJQoF89GpsIiAC24oARSB3qRsFm/KRszYb+etzUV1VbZOE6tumyxWEcCMG9RgwziQG9UFkQhqCQkLrW1SviUCnJCBBqFNOmwYtAiIgAiIgAiIgAiIgAu1KwPeGgL8blyDkLzEtH+gEcooqMXNxLuatLkRGfgXK3B5EhgUhLSEc4wfFYZ9RJoU6tuv//ohfuuMX7UJCQsAv2gVa45cBlyxZgh49emDIkCF1hpebm4sVK1agb9++6N27d533OuMPFRUV9vebYWFhrR5+dUUOCjM+R2n2T6gsXQ9PVan5fWgkQiJ7IyppImLTDkRoZK9WbyeQO2C6fFVVFUJDQ+0XTAN5rM0dG/dp+fLl4LEycuRIm57f3HW1nAiIgAj4Xg9IENIxEZAEuoMgRPAtlYQkCAXkYatBiYAItBMBT7UH5UXlKM8HKvJikZudCXdJPjyVbrjMLzRCI+MQGZ9q5KAU8zzWpAelIDgsop1Gp82IQPsRkCDUfqy1JREQAREQAREQAREQARHorAR8bwj4ux8ShPwlpuUDlYDHfPHsnZ834+P5WaisqmlwmKEhLhw6PgXHTehp5IKGk4VY8j4/3/xy6s/GpOtevXqB50xnaN988w0OP/xw/OMf/8C11167TYdcVlaG9PR0xMTEWEZNbeyxxx7DLbfcgvLycpsQnp2dbVeh1HTDDTeA7/OLhNtvvz1++OGHproL+PdTUlIwatQozJo1qxVjrUHe2teQv/Z11FRXNNiPKygEcX2PQuLgsxtNFtqwYQNKS0ttOntaWlqD/VFYWbduHeLi4tCzZ88Gl2vPN55//nlcfPHFePbZZ3HiiSe256a3ybbmzZuHM888EytXrrT9v/nmmzjssMMa3BZFIu/GzyR+NvEzqql2ySWXgP9uuO+++5paVO+LgAh0IgK+1wMShDrR5HWnoQaaIFRSWYoy88dT42nzaWiJJCRBqM2nQR2KgAh0QgKeqniUFw4zF6tlqK4sR42HaUJB5lsxYQgJjzJSUCRczbjw6YS7riGLgCUgQUgHggiIgAiIgAiIgAiIgAiIQFMEfG8INLW87/sShHyJ6OfOSMBd5cEDH6/Bb+uKmz38sf1jcOVhAxEeUv9N9f/7v//D448/Xqc/l8tlb8Sff/754I32yMjIOu8H0g/tKQg98MADuPnmm23iz+LFixsVFZxxUf65/PLLbRLM1KlTLbonnngCV199NSZPnozzzjsPFIamTJkSSFhbNJbWCkI1nkps/uM2mxrU3AFEJGyHtHH/RlBw/ULbEUccgenTp9sEp/nz54NjrK/98ccfmDBhAk4//fStzof6lm+P17qSIFRSUoKddtoJhYWFuOyyyzBmzBiMHj16q1Qth6vb7bZz5vzsPDKdqn///hg6dKiVp/bdd1/nrdpHbqNfv342UYxCX2eRHWt3QE9EQAQaJOB7PSBBqEFUeqMjCQSaIFRQUYCKqoat69ayig+PMxcazU+3kCDUWuJaXwREoLMTCDHfdgmpSUN2/iA0/J2vzr6XGr8INE5AglDjfPSuCIiACIiACIiACIiACIgAbBIAUwOY4MHEDX+bBCF/iWn5QCTwyGdr8dPyAr+HNnFYPC49eADqyxFyBCGKKrzxziSV9evX4+OPPwYTb/bcc0988sknjcowfg+oDVdwRJz2SBDaYYcdLBsmAr3//vs44IADGtyTCy64AC+//DK+/PJL7LbbbnWWoxg0Z84crF69ukFhpc4Krfzh9ddfx4MPPohp06Zt03Sc1gpCWUvuR9GmL/ze26jkCUjb7l8w37Dcal1HEOIbxx13HF544YWtluELEoTqxdJmL3711Vc46qijwPOCol1TzRGE+JnEzyY2lutbs2YNVq1ahblz51qxjufgQw89hAEDBtTp8rvvvgNlIkpfHd0WLlyIG2+80cpnJ5xwQkcPR9sXgU5NQIJQp56+7jP47iYI+ZsiJEGo+5wL2lMREIH6CYQFhyEMfbApt2/9C+hVEegGBCQIdYNJ1i6KgAiIgAiIgAiIgAiIQCsJ+N4Q8Lc7CUL+EtPygUbgp+X5eOSzdS0e1iUH9ceuwxO2Wt8RhJiyMnHixNr3mfhBueLnn3/Go48+irPOOqv2vUB60l6C0I8//oj9998fF154IZgAdMwxx+Cll15qEMWBBx5o2VGyCg0NrbMcZYYePXpgwYIFdV7fVj+wrNNbb71lxYptWT6rNYJQac7PyPj1lhYjSBl5JWJ7HbzV+o4gRJGEstY777yDgw/eejkJQluha9MXnnrqKVx55ZVgKtLxxx/fZN+OIDRp0iR8/fXXWy3/22+/4brrrsPMmTOtBMRlmlN6bKuO2uEFfk7wc+Ppp5/GKaec0g5b1CZEoOsS8L0eUIJQ153rTr1n3U0Q4mT5IwlJEOrUh7cGLwIi0AYEgl1RcFUNQl5xYhv0pi5EoHMSkCDUOedNoxYBERABERABERABERCB9iTge0PA321LEPKXmJYPNAJXv7QEGfnuFg+rZ0IYHjht5FbrNyQIccEZM2bgsMMOw8knn4z//e9/W63LNC+WI2tu83d5p9/G1muuINRYH852Gnv829/+hhdffBEUE84991ywXNXKlSuRmFj/7/RY+ujXX3+1KUy+/fbp08cmnvzwww++b9X52d8xN7S8P4JQQ33UGdifP/gu2xpBKP2Xi+AuWlnfZpr1Wkh4MvrvaoQtnxQhRxBiogwloaSkJMybNw/R0dF1+u0oQciXofegGiox1tg63uvzuT/L+q7rz89Nbee///0vrrnmGrz55pv2M6WpvpsShLg+S/Ptt99+mD17Nu6++25bDrGpfp33mxqvv8tx+Yb69EcQaqgPZzx6FIHuTsD3ekCCUHc/IgJ0/7ujIMSpiDOlxiKaUWpMglCAHrgalgiIQLsRqPHEoap8BMorm1+esd0Gpw2JQDsRkCDUTqC1GREQAREQAREQAREQARHoxAR8bwj4uysShPwlpuUDicDqzDLc9MbyVg/pthOHYVBqZJ1+GhOEWM5nzJgx2GuvvfDpp5/WrsfnDz/8sE3ACQ4Oxvbbb49//etf2HnnnWuXcZ4wieiOO+6wSR9Lly5FeHi47ZOJRCeddJKzmH3MzMy0rzF95+qrr7brsTTR77//jiFDhuDoo4/GDTfcAG7TaY0JQuzvpptuAkWcDRs2YPjw4WCJHyaZ+JM2wn0YNGgQxo4da9NMKEtdfvnluOeee3DxxRc7Q7GPt99+u12GY2ZJxF122cW+zuQQlhVbvnw5fvnlF1s2cbvttrPvXX/99eA+s7HEG/v47LPPsGzZMlv2jSXJ+FpMTIxdxvsvlim77bbbrLDE0ksDBw7ETjvtZMfGtByWF+M2c3NzMX78eFt2qW/fvlZ2cvrZvHmz5cSUJIfTiSeeiCuuuGIrThQY/vOf/+C9996zZbkoO1HSuPPOO9GvXz+MGjUKs2bNcrpu1mNlaTrW/3xOs5ZtbKHe4+9FRMK4Oos4gtDGjRvx7LPP2v2k7HXffffVWa4hQYjHaVFREd5+++06y/MH9scycixxxWODjf1ceumlNimGktg///lPyyM2NtaW2Lr55pvtOfDBBx/gueees8dmQkKCPbb//e9/2/dsR+Yvb0GIZep4Hn377bfgfHF7PAZZtqu+xmP0lVdesUIb++dxeNddd9UpxZWTk2PTfDh/LOPF45ml80477TSwZF9TjWUImaa1ePFiK8INHToUu+++u/0s4DbZeEyxvFZGRgbWrl2LYcOGWakuLS0Nr776aoObaI4gxJUXLVpkk8943FPecxo/KyjvcY6cVllZacfLMnM8V3g+sWzgVVddhX322cdZDExT434x4WvTpk1ITU0F55L8KcF5t59++skeS3zk5wSPfy7rnJP8HMvKyrLbGzx4cO36r732Wm25P46Lc0OeS5YsAc9PfubynIqPj6/dHD83rr32WisoOuc4Px8pR/GzlOcmJUYmFbEflljjZzPnlolnaiLQFQj4Xg9IEOoKs9oF96G7CkLNTRGSINQFD3rtkgiIQLMJ8LMypCYVOfkD4anZukZ2szvSgiLQyQlIEOrkE6jhi4AIiIAIiIAIiIAIiEA7EPC9IeDvJiUI+UtMywcSgU8WZOGVbze1ekhT9+iFQ8fXvcHdmCDkyDe8wUwphI03vnnjevTo0Tj88MNRXl6ON954wwoofDzooINqx8mb1FOmTMH69etxyCGH2JvxFFU+//xzUGyhNMOb2U7jciNHjrQSD0WZFStW2NQXphR98sknoGBEkYZyitOcMVJo4M1zp/HmPrddXFxsb5737t3bihqUV5oqD+b04Tw6CSCUos455xzk5+eDN/spO7AEm3d78MEHrQzFVBOKJZQv2I477rja1CGOmZ9pu+66q32PIg4FBbIhUyYPUXCgBEIBgqIP5QuKTvwscxrLhlFQohhAEWbEiBGgCEPJg+IApQWuS3GCggalAwpaZMFEFzYmIZEHOTEpqlevXnb8FFGOPfbYOiJRVVWVFUq++OILO5cUIZjiMm3aNCtQMaWH0pO/glDhxk+QvfQhZ7da/Nhj0GnoMfDUOus7ghDFJwohe++9t+XLklQTJkyoXbYhQWjHHXe0802hxLfdeuutVs5g6TIKPGxkzjmnYDV37lzLnGXdPvzwQyu6UerZY489wFQn8maiEWUhnis8tniMOc0RhCgOUSaiJEfRh+IbhSUeh77JOTwWTj/9dLz77rt2O9xfLk9ZKCQkxM4tRTk2yi88rjhWyi0cA8vfcQ4pwzTWWDKL5wXXZzIThSAmM/Hc5jHE85XboRRHuW3dunX2/KWQQ8mGTJ588skGN9FcQYgd8DyhfEQRh8c3G2U1SkjcvtMoezHB6NBDD7UcFy5caGUgCnqcFzbKVzy3uV+cU/bBc4hpYTwWeGw7qWk8j/kZw/OJ4iGFQJ4b1dXV9hjjeUchjMcez2PKllyWjSXXKB4VFhbac5fyz5FHHmnPK37O8dzu37+/PZ4ol7HxmOUyf//73+38RkZG2mOa2z777LOtiMXPaZ7n/DxhP/wc4HHG40RNBLoCAd/rAQlCXWFWu+A+BJIgVFJZijLzx1PjaRfSzZGEJAi1y1RoIyIgAgFKICw4DGHog025fQN0hBqWCLQPAQlC7cNZWxEBERABERABERABERCBzkzA94aAv/siQchfYlo+kAi88t0mfDI/q9VDOmR8Mk7dY8sNaqezhgQhyiAHH3ywTQDhzWreVKf0QimE0gElHSZUsFE0YHIGb6zzhjwTfigqUBzgOhSHKAg5jTICb1rzhrfTN99zBCGKDBRqmOIRGhpqV+PNd77GsmfeZYrqE4QorVDCoPRBqYY35p3G7VJoYULPnnvu6bzc6OP+++9v5QdKIk4yyqmnnmoZUKShOODbyMnfEmOXXXYZnnnmGStOsH+nUTpiEhKFFCaSsFE6YCIQBRPOBcUqp5EvJQZHJqKMQs4cP8UMp1FkICfKCxRbOIdOYyIJpRYKH1yGjWPjGNkfRRYnyam0tNRKRmTBZBN/BaG81S8ib80rzqZb/Bjb+xCkjLiizvreghDnjnPCeae8wmPDOb7aWhDiIJjexO2zUXijEMY0J543nA8eI2zkR8mFghhFl7i4OPu6IwjxfCDvM844w77Ov9aYdC+ehxT0OH88DtiYIMOEJG+pj69zbng+UzBheg2bIwg5CTmU9ZqTrMXzj7IN5RiuQ1HFac57lKR4njltW5QYc/rmOCjm8LOH4iKbryDkJGMxcck7uYifc5R0nFKBeXl5dt7OP//82uObn2VkRwHO+3ygQEc5jHPqfV5RyCJTpzmCIVlRivRulJMeeeQR8BznNp3Gzz6e63yfkhGbIwix74suusiWbHOW53FA+WjcuHHgZ6IjMfGzkMdVcnKys6geRaBTE/C9HpAg1Kmns+sOPiK0DMkJmxEeWtHhO1lQUYCKqvYdR1OlxiQIdfhhoQGIgAh0JIGaWFSXD0OpO7ojR6Fti0CHE5Ag1OFToAGIgAiIgAiIgAiIgAiIQMAT8L0h4O+AJQj5S0zLBxKBl77diM8WZLd6SAdtn4zT96pfEHrggQfszXXeLGdaBmUQJvhQqGG5IjZHtvC+Se4MynmPJYV4k5rLMJmGMsljjz3mLFb7yL4puFCa4M19NkcQYlkdli3yLq/D9yl3cHlui/IFW32CEIUZCjZMRvEuMcTlnfd8BQq+V1/jzX+mnjDRhyksTmNCyvHHH2/L/bDElG/zVxBiwgpFJkpWTPXxFjXS09NtOhDLBVFqYbvgggtseSsmyXjLV77j4M+cg/oEISajMG2GMhDn27s573E7PDbYmJhEmYVJM06qibOOMzctEYRyVz2P/LVbpBWnv5Y8xvY6CCkjr6qzqnNcUhBx5C6mTbHE2C233ILrrrvOLt/WghC3xTl1JCpu5N5778U/TckxzrF3OSy+xwQbnmfO+cPXHEHIV7bhe2yOOMbUGB7PbEwZohBCaYhJPk6j5ML5Y0JOdna2TdpxBCEuw+OKx1dzGo9T9kFm9YknlHCYXMN0LaeM3rYUhJxzwftzyVcQctKcfFOxmrO/XIbHC48byjxM62FjOTUe95S1HEHLvuHzV0OCEEUizglTiliS0JHVuDr5sqwh55NpaGyOIETBjJ8J0dF/3VNgQhiXnTRpkl3OrqC/RKALEvC9HpAg1AUnuavsUnREMZLishAa4u7QXZIg1KH4tXEREAERqEOAKWvBnp62vFgNXHXe0w8i0N0ISBDqbjOu/RUBERABERABERABERAB/wn43hDwtwcJQv4S0/KBROCjeVl47ftNrR7SSbul4Yid/kq2YIdOgpBv5xRAWMqGaSTOjWvedKe4cs899/gujo8//tiW4mE6BwUB54Y6hRyWBauvMTWloKDAihR83xGEWB6H/dXXWJ6IN86ZTMRWnyDkCCBM4PBOD+LyLPtFGYOpQCzt1FRjegcFGaYgsfyX05g8whvyLIXEZB7vFBUu468gxP1lqSCmoVBq8W1MEmFKCKUONqYWUSKghNJUa0gQcvaNx4CTvOL0RVGMpc+ckm7cFstP+YpSzvJMI6IkQTnM3wShwg3TkL1sa4nM6bu5jwkDT0HioL9SdrhefYIQOU6cONEeb5RYKGm0tSDEuWRZMO/G5J5zzz3XcmXZLe921113gaXEvM8XRxBiWb8rr7zSe3H7nFIPU7p4PLMkmFMei6KPUzLLeyWWtWJSFEtrsYSWIwgxPYfHkZM6472O73OePxRaWEqQZczqa48++qgVr1544QWb+sVltqUgxHOZYhVFHX4+sPkKQkxworzG0obOHPBzpKFGyYp8KQjy/KZgRG7/+te/7Gcm12PZLqZ68dzh3PFc8Rb7nL4bEoScz67DDjvMlvNzlnceKbCxbBrPPfbrCEIUkxyp0lmWj/zcZIoSJSh+Xvie097L6rkIdFYCvtcDEoQ660x2g3EHuTxIS9yAyPDSDt1bCUIdil8bFwEREIE6BFyIQY17CIrKtkTG1nlTP4hANyMgQaibTbh2VwREQAREQAREQAREQARaQMD3hoC/XUgQ8peYlg8kAks3luDWd1a2ekg3HzsEI3v/lTrBDh1BiDeUKbzwXKEwwec875yWn5+PPn36OD82+OiUynFSPZiGw3JO9TUm31AmYZIG0zAcQcg7tch3PfZFOYc37dmcm+yUgq699lr7mlP+y/7QwF+UkyhLNNYovXB7TOdgcpEjSjnrMPWDIgHTd5jC4938FYSYQkQhq6mWk5MDlpxicgsloenTpze1SoMJQix31JQk5aQWUaThPrHE2J133lnvNilnsEyZv4JQRfEKbJhzcb19+vNi2rjbEJW0S51V6hOEuADLRbFsFGULlptj4s6ECRNsotLjjz9e2wcZ89h3jrfaN8wTyiGURFhmarfddrNv8Zhi4s8111xj04K8l2faE8uEca4pqXg3pgDdeOONVrLjuNgcQai+44vvL1261B4DnEeWr/r+++8blPG4vNOcpB1HEKKgwtJgzWk8n1lyzjtZyne9999/H1OnTrXSzFVXbUl02paCEGUgJjVREHKaryDE1zmHF154oeVE4YacKclRanMaz2eKcZSfmLrEJCgmPoWHh1sJyVsQ4ucDxSzOHaUzCkcUs84555w6olBDghDnjNtqqjEtqEePHrWCUH3HFvvg5+jFF18Mppux7bXXXvaYckoE2hf1lwh0cgK+1wMShDr5hHb14UeFl9gUobAOLDXWEYIQEzJiQ2MQah7rayoxVh8VvSYCItDVCfCzMaQm1aYHeWqCuvruav9EoEkCEoSaRKQFREAEREAEREAEREAERKDbE/C9IeAvEAlC/hLT8oFEwGNuVF/23GLklVS1eFgJ0SF45KxRCHLVTbJ2BCGKJkxVaahVVlbWJsR4l9ryXZ4pMjExMVaQoBRAgYfiRX2N0g1v2jP5hM0RhOorDcb3PR4PmHZCaWXmzJl8qV5B6KKLLgLTS6ZNm2aTUuyCPn+xTI93CSaft+2Pn376qU1A4T7FxW39JT8KBJQSeCOey3o3fwUhRwZhEgkTQBpq/fv3t+KCk6T0yy+/NLRo7esNJQhRlqC88NFHH1kJonYFrycOJ25n7733tqWsKET4Nuf4YDk2fwUh9rX+pzNRWbbJt9tm/xxk7kMN2O11uILq3otqSBBix5Q5WNaLZaN47NcnCDF1hgkua9eu3WosTHi5//77t7kgRJGEEpBvmzFjBij3sEwax0JhjfvB9CKWMmuo9ezZ08p/jiDU0PlW3/osP0ihprF1eO7xHGRiEUUhtm0lCDnSlW+yVX2CkLM/TBvi2LguxSKmnh166KH2be4XzweOnzKXUyKNEhi34S0IOf3x+GApwyeffNLKhEceeaTt00lkakgQopR11llnWTGQUmNDjfvinSBU3xi812X5Oo6Fn9M8L3l8cztqItAVCPheD0gQ6gqz2oX3wYUa9EpK79AUoY4QhDilceFxiAj565sG3tMsQcibhp6LgAh0FwJhwWEIQx9syu3bXXZZ+ykCjRKQINQoHr0pAiIgAiIgAiIgAiIgAiJgCPjeEPAXigQhf4lp+UAj8NVvOXhuxoYWD+vMffrggLFJW63fXEGIK7JkDUtPUZbgjfXGmpOOwfJcTBvxbWVlZRg4cKBN6Pn222/t244gRMmhvmQcJ73EW06oL0HIKW/24osvNirb+I7J92cmGVEyooy08847+75tf+brS5YsAW/Ke5cs8lcQolTDRKVLL70ULDfVVJs0aZItf0RBieXgGmuOIES5g+WhnMZScZQNXn75ZVvazHm9vkcmq1BUaKi8kVOii0JNSwSh4oyvkLn43vo23azXEoeci4T+x2+1bGOCEMtlcbx8fP31160kcvrpp8M7QYhzwuMzLy9vqwQpLvvOO+9sc0GIyVJMF/JtznHuiDglJSVITU21aVdfffWV7+Jb/dwSQYipOUyv4rHOsluOBOPdOYUllhmjwLTLLlsSnbaFIMRjkglPTO9haS0en05rTBBylnFSpJgmRmmI/ChPUcKjbOVdLowiGYWyxuQcrs/jhVy8990RhJx5crbPMbMsGBOHHn74YeflBh+dEmONjcF7ZZ6T7J/lD5tTitB7XT0XgUAl4Hs9IEEoUGdK46olEBlWiuT4THREilBJZSnKzB9Pjad2PO31RIJQe5HWdkRABDoDAaYHhbmSUVDUB+XuyM4wZI1RBLY5AQlC2xyxNiACIiACIiACIiACIiACnZ6A7w0Bf3dIgpC/xLR8oBGo9tTgzvdXYfGGEr+HNrJPNP5+9GAEB7m2WtcfQejqq6/GE088AaeMmG9nLMXEkjxsLIvDm/f8ed68eTZVyHt5p6QSH8877zz7liMI8cY8xR9fKccpifXxxx/bG99cqT5BiLIOSz4x6YSyiq/MVFxcbG+a+77uPb6srCxbam3AgAFYuHCh91t1njulwZwUF+dNfwUhygVjxoxBRUWF3R5FD+9GMaO0tLRWBmJpK5a4ao5Q5CQqOaWlnH65XxR+nNQfbyGCy1Cc4Wenw4lSEtnWlwrFtBUmsrRUEIL5kn3GrzehNKfpRCRn/M5jeNwI9B5//1bpQXy/MUGI77Mc0/HHH2+Plx9++GGrEmNOytJbb71VmzLD9SjXMMmK87atS4xRdqF0wjJ8TuMxzO3zeGF5NCfhyinb5zvXznre52hLBCH2c/bZZ+ONN96w6UuU6Lwbzxum7lD+Y8kzlsNja2tB6L333rPJSRs2bLB98/jzbr6CEM8f5zh2lmOpQp7f8fHxluHGjRvtOT9+/Hhbgs5ZjsllFG04B95yTn19UuTiZxpL9+2///62C0pklMlYApGlEJ1GsYmfUZTPKD/27Vv3y8TcLufZmdvGBKH6xsLtcF8oBzGlzZkLZ/t6FIHOSMD3ekCCUGecxW445l6J6YiK8P8f8K1F1VHpQRx3Q2XGEoIiUVJdhmJPhd290soyVFa7W7urWl8EREAEApqA0oMCeno0uA4iIEGog8BrsyIgAiIgAiIgAiIgAiLQiQj43hDwd+gShPwlpuUDkUBReRVuf28V1meXN3t4/ZIicOOUwYiN3HKj3ndFfwQhltJh2gZFlauuusqmzrD81tKlS60wQFmBpbKc5khAQ4cOBUtnUUThzXDeMKdkRIGIsokjpjiCEEt/8eb9HXfcgT322MOW7WGqC0vy8KY7b747rT5BiO+df/75tsQORSEmsIwYMcL2QwmEySu//vpr7Y13py/vRyZ63HDDDXbd+tJbnGUzMzOtVMDkESYJOfviryDE/pyUEkoL5EVBiklLCxYssKWs7rzzzlrpwO1223JSy5YtAyUNppBQymBKEMsL3XbbbVZ+YL+OxERZhiyYvELhge3cc8/Fa6+9ZkUhvjd8+PA6nJikwpJxbJROjjnmGCt93XvvvXYdHhOPPfaYFcJYhoxySEsShNi/p6oEmxZej4rCZfyxWS00qq+Rg+5BcNjW6VjsoClBiMs4CUt87psgxOPlgAMOQO/evS1HSjmcZ8oenGvKOdtaEOK2eXxxTocNG2a3ybnitnlMXHbZZRy6bZTxWAqOMhFlFB6H4eHhYJoME2xY1u/666+3y7ZUEMrIyLDnLuWoa665Biyp5YiAHBflwM8++8xKV38Oq8WCENN8HIGQnx3Lly/H4sWLsWLFCpuGRVHuuOOOczZT++grCHE8zzzzjO1r5MiRtmwcJScmHfGzgp9HbPyc4Ph57jOprKCgwDJmahq36y0I7bfffjjppJMsU6Z48fhnyhBlHY7TOW+cdC1+DvIzMTQ01H4W8n2WN+P+9enTx84vE5dYFoznPMfEcZAvW2OCEMU9fpZfcskl9hzk3FCkpETIMnT87FQTga5AwPd6QIJQV5jVbrAPEaFlSE7YjPDQLVJMe+1yRwpC3Mf6UoR6BsegtKYSRX8KQlWeKlTXGAteolB7HRbajgiIQEcQqImFp2IoSiq2XFh3xBC0TREINAIShAJtRjQeERABERABERABERABEQg8Ar43BPwdoQQhf4lp+UAlUF7pwTPfpOOHZfkMXWm4mbCg3YYl4Jx9+yIiNKjB5fwRhNgJ5QgKFbwh7d14g/v222+3aSzer7N8FSUClibzbhRTKAB5p6I4ghCTgij2UHxgiobTpk6daiUNlsxxWkOCEGUlChIUAGpq/gLFm/MnnHCClVr4vKFGOYdCAEWiIUOGNLSYfZ0JNEyief/9961MwhdbIghxvWeffdYmo1DC8m6TJ0+2pa8oPjiNog8ZMU3FaSz5REnnww8/REpKin2Z7Pfaay8rLfAFigpOKhI53XzzzVbg8OVEQYL8vDlRaKAE4T2+Pffc00pfFJRGjRrVYkGIY6sx94uylz2GoowvzA9/zRvfq9PM8R2dvDtSRl6FoJCGf8/aHEGIkhOTVsjTVxDiNinh8A/FDzaKQTx2KaxQUNnWghDFni+++MImNNkBmL/CwsLAEnGOPOO8zkeWxOP5xUQc78YSgZTFeG6xtVQQ4rqrV6+2pQOZEuTdKDBRdPNN/2ppgpB333yemJgICj4Unfi50lB5PV9BiKIXz1MmKDmN83jsscfaVDT+G4ON5eT4OZOTk+MsZj8vKAJRjvMWhCiOsV/vxs8KlldkmUTvxnniueM0yl0UAdleeeUVK1wyLci78ZylfDd48GD7cmOCEMVACktMcPJuFCpfeOGF2mQ37/f0XAQ6IwHf6wEJQp1xFrvpmDsiRagzCELO4SBRyCGhRxEQga5GgIlqwZ6eyCkYaK5vzVWsmgiIgCUgQUgHggiIgAiIgAiIgAiIgAiIQFMEfG8INLW87/sShHyJ6OfOTmDF5lJ89VsO5q8uRHH5FnGB+xQTEYzxA+Ow/9gkDE2LanI3eUOZN815Q925Sd7UShQlmFzDdBmW7eGNbpbK8RZJvPugTMIb4kzVYBoKS2klJyd7L2KfewtCvMnO9A5HQKDAwWQh38a+WWaISUaUB3wbS+tQZuIjS/hQYPEt3+W7DqUkJpRw35qSg7guxRJKJhwD/7CxrA9Tfijj+DbezGe5H0cQ8H2fpb045lWrVtmxsg9HEvBdlj8z8YRzwe0xcak+DixnRJaUEJjc5C0asQ9/OHFemFTD/WbZMcphbGRGcYWpL61tFUUrULhhmik59hOq3QW13QWFxiAqcQLi+hyGiPjtal9v6AnZMIWJ8+ikO9W3LFNxKFKx3BTTenwb55NSFY8JlmXjcpRIyIDHlSOtcVvcJufAORacvsieUg6PP67v3Sgb8Rji+eFIcxwP5yUtLc2KMEyxmT17tj0PmGTUkBzDfp3SYxT6uByPNYpjFMicxpQuij58n9vwt1Eo4/pMyGHqDfsnZ99SXuyXnzH8rPHev6a2x88L71YfU+/3vZ/zHOM4KK05jePl5xbLeTG9hwx9zwMuS+4//vijfaSIxPllIg+FK35u9ejRw+nSzv+cOXPs/nFbEyZMqMO4dkHzhHPHOeRnEGUt7+ORx4ZzznMbPOd9P3ua+qzjtjgfTDLieejMh/cY9FwEOjsB3+sBCUKdfUa70fg7IkWoowWh+sqM+SYI+R4CEoV8iejn7kIgMiQSyeGJiAmJMv+Y9P52Tw0qqs03KCryUFhZVOebL92FTWfaz/DgMKREJCM2JLp2HoM4nzURyC6KREZxEIrcf12QdaZ901hFoK0JSBBqa6LqTwREQAREQAREQAREQAS6HgHfGwL+7qEEIX+JafnORICCEMuPxUaEWEGoM43de6y+gpD3e3refQl4qoqsJBQUGovg0DgDQr9T7b5Hg/ZcBESgOxPwvR6QINSdj4ZOuO/tmSJUWllqynaVwlPzVxRnRyDzLTPWlCDkjNERhfhzmSk/5q52O2/pUQS6HIFQkzCTFpGKPlE9ERYUttX+sQwfBaH00k0oqSzZ6n1/XggOCjYSUjQSwuLstlx/Xlh54EFZVTny3PkorSrzp0st60Ug3nAdGT8U4T7zyGDciioX1he4sCwn2GsNPRWB7ktAglD3nXvtuQiIgAiIgAiIgAiIgAg0l4DvDYHmrucsJ0HIIaFHEQhcAhKEAnduNDIREAEREAER6GgCvtcDEoQ6eka0fb8ItGeKUEenBzlg6hOEwlzByK4uRVlNpbNYo4+OLCRRqFFMerMTE4gLM3Gf0X3RI2xLxKin2oNKE/UZHBxkY2e5a2XV5VhfshGby7NanCLEJJsEsw2KSDGmRnOwTSra8s2LGlO8vMpTiVwjCG0s22xEpLr1rjsx3nYdemJ4ArZLGGm3WVFegfyCfBs1GxcXZ8vDbzYJQnM3ShBq10nRxgKWgAShgJ0aDUwEREAEREAEREAEREAEAoaA7w0BfwcmQchfYlpeBNqfgASh9meuLYqACIiACIhAZyHgez0gQaizzJzGWUugvVKEAkUQ8i0zxgShuKBwZFQXo8hTUculOU8kCjWHkpbpbASCjTCXGplsBKE+NtGnoKDQ1qWdO3eureO8776T7SPTwDIrsrG2eIMtOdaS/YwIiUDfqF4mrSgFtuxVPZ2Um3JmTCraZCQh1udV849AYngPIwiNsPWHv/56OmbOmIkxpg7zSSedYGtMZ5a4MGdDiH+damkR6KIEJAh10YnVbomACIiACIiACIiACIhAGxLwvSHgb9cShPwlpuVFoP0JSBBqf+baogiIgAiIgAh0FgK+1wMShDrLzGmctQTaK0UoUAQh7rh3ilBrBCEHIkWhYnexyo45QPTYqQlQ2ukX1RtpkSmm2JcLixcvxlNPPY2ZM2dh4MCBOPfcc3DIIQfD5XKhsLIYa0vSkVeRb/eZkk+Qed1pjs5D6cgRgDymPFmVp9r+nBiWgN5RaYgLjUGNpwYZmzOwcuUqk3ATYbeVlJSEaiMi5f5Zzqy4aks5M/ZVt08Pqk2fXBY2F2fLCDjGIO7Fn2Oy4zF/bVnfvGNep+jEkmlctyEBictxe/yzpQRajV2e6/mWTbTbNONzKDgMDBmwnBqb3aYdb/WWgdbzt7OPwUF2D8w63CbHWV13nH/uoy93pjHxPyY0DY8bjPT0DXjazOMH0z7ExIkTceON16N///7ILnXZBKGaGpfpu+5AuA/BQTV/7cufyziLBdn3gRDzxOUymU/mjWqPC5VmGpxl6vaon0QgsAlIEArs+dHoREAEREAEREAEREAERCAQCPjeEPB3TBKE/CWm5UWg/QlUVlZiyZIl6NGjB/r27dv+A9AWRUAEREAEREAEApaA7/WABKGAnSoNrDECMRFFSIzLRmiIu7HFWvQeywKxTFBldeVWN9Jb1GEbrNTWghCHVFhRiPKq8jYYnboQgY4jQLmFQsnAmH6IDYmG2+3G559/gYf+8xBWr16DHok9TPLMiTj3nHOQ0CMBbnNubyzdjILKQqSEJyE8OKxWxrF78aclwn63iDUUR2rsZwFfCwsKRWRwhBVvKioqMMtISK+88ipSe/bE1KknY/vtt7fdVJrtlFSVocLjNstSQqL6Qn1li4bDPin3UPIpN6XP8twFdhxpkakwapKzWK214oyHa3OIHvNf7boVBUZ8KkKoGRtLrFFe4nNX7TbtkGr3g8JOSZUpUWjO/5jQaESHRDWLAcdbZdYtNevmGAGKJdsijZzVw0hTMaYPR4ByyDnj5HrkQTmLPJLDEy1H7lNtMws7+xgaFGLHxCQo8p0x0yQIjRmD448/DrGxMUZsdCHffHRR7qkwzykMlVe5kBTpQXwEZSovQYisjCRU+afXFGZ8J/u+2bTdvOnDeF6Gpcv0C+SXbemvzPSnJgKdgYAEoc4wSxqjCIiACIiACIiACIiACHQsAd8bAv6ORoKQv8S0vAiIgAiIgAiIgAiIgAgEDgHf6wEJQoEzNxqJHwSCXB6kJW5AZHipH2s1vmggikHOiL3LjDkJQuU1VciuNjf5ayqdxfx6lCDkFy4tHKAEKML0MlJN3+jeCDFpOZs2bcJzzz6P995/HyEhIeC3Z3baaUdccMH52HHHHa0kk2PSgyjlcD1KLS1tpaWleO+99/Dggw9h8KBBuOqqKzFp10m13VECYnNEo9o3fJ7YRC8j3VDcYXktf9SUKvM5QPEmz0hCEcHhZv0EhAeFWSHJZzO1P3JcFHYqTZIYhScybG7jupSs8o3QVGS2Gx8ah/iw2C1CUiMjZwIRS69xXQpMFKaaah6PBwUFBcjKykJcXBx6GgmrjlRkOqg2yT+FFS6Umo/BpKgaRDRQeYwSEFtQI3DZF8WgHCMcrS8IQoHpV00EAp2ABKFAnyGNTwREQAREQAREQAREQAQ6noDvDQF/RyRByF9iWl4EREAEREAEREAEREAEAoeA7/WABKHAmRuNxE8CvRLTERWxpXyPn6tutTjloDLzx7f0zlYLduALToqQIwhxKK2RhCQIdeBkatNtRoAJOP2j+9hUGvo4c+bMwX9MetBGIwqNGDEc69eng0k/p59xGk4+6SSEhoaaBJwyVBqxJj401qb4lJeXo7SkFGHhYSahJtZIRVXIycnG5s2ZVkhJSU5GSmqKFY448Opqk6Jj5KCMjAy8//4HePHFlzBwwAArIU2cNBH8Hy37cRoTdMrKyqzokp/P0mYm7SYx0fYZHh5uF2M5LpNTZIUlSk0lxSV2bFHRUQgLC0dRUSE2bNiA8rJyK8uk9UpDdHT0n+t6rPATZGQnpu+weYztUmjWycrMQnFJCcLNvqWkpCLRJCoFB28tRTF5qbioGMEhwbZ/yjl5eflWuKqqqjLrJaKX2WZYWJjtn2KSIxg5klUVueXmmv3MhLvCjRiT9pOWZsqxGbmHjY4OWbC0mMOQ7NlnbEwsCgoLkZmZaeYoBH369EFYaBhKDbfioqItTONiUVZahrLyMjuP8fHxtl+KPVXmT/ifclCl26QVmX0PMqXOOA8UxZzG/So02+Hcck5YGi41NdXGLzvLMEkos8SFVbnBKHJLEnK46DEwCbSnIOR8lgUmCY1KBERABERABERABERABESgIQLODQH+LqMljYKQrgdaQk7riIAIiIAIiIAIiIAIiEDHE/C9HpAg1PFzohG0kEBEaBmSEzIRHtryMlmBnBrki6U+QYjLZFQXo8hT4bt4kz/b1BJ3sSmr0/Zl2prcuBYQgTYgwBSa5IhEDIjua8t+Uap555138eSTT2LY8GE46KCD8MsvczFr1izsv/9+uPjii00N7j42qYdCDmUaCjs/fP8Dfpk7F71798bwYcORaQSXX3/9FRs3bjIiyxY5Zuedd8bkffYBxZz09HR8M30Gli5dgqXLlpllf0NSUpJNKko2MhHLYR166CHgL9AKC4vw22+/GnHpFyMrrUdxcbH5pRqsuDJw4ABMmjQJO+ywvRVeiIS/cFuxYiU+/fRTlBixZ9y4sYiPi8fsObOxcuUq+1pUZBSGG/lp8uTJGDt2OyvCODi5PqWgn376Gb/+ttAIN1koL68wUlCQHePIkSOxq0k5GjJkiLOKFWXmz1+AGTNm2HFtZ8ZPMYevrVu31ghWbiv5cJz77bcfOG7vRqFp3br1luOic7msUwAAQABJREFUxYst0yrzWpiRn3r17oXxZr2JEyeCbJyWnZ2NL7/8ynLu37+/kY96YdGiRaafdbZO+jHHTDHz0Qfffvst5syeY2SvEdh338mG5W+WZVJKMo44/HAjEvW2XVI+osrDX3bONst//fV0DBo40BwDB6KPmXNyycnJxffff2/2i1w2o6qq2spJaWk9TbrUeOxkEqZ6mudsLF22odCFlblBtqSZfVF/iUAAEmgvQSgyMtIKky29oRCA6DQkERABERABERABERABEeg2BFor+Oh6oNscKtpRERABERABERABERCBLkjA93pAglAXnOTutEstTRHqTGKQM58NCUJKEXII6bG7EQg3JbX6RvWypcIoC1GgeeKJJ63octyxx+DEk07EDz/8iBdfeBHxCQk24YeSiXdjYg0TgN56620j/5i+jCCSb8paMU2HaTMUiEqNqMNEm+OPPw5TjLjCkldvv/0O5s+bbySijVYkijVpOX379bOCze677YozzzoLbneFEYm+wQfTPsTaNWsQGRVpU3yY1sNSaEzZYfmzM844HRMmTrDDosjyvRGW7rvvPuTl5lkRiCXKNpjtMAmHglFeXh4ijHyzx5574IzTT8eY7cbU7hITk941ktSXX35py3MlJScZuSfePue+RhtpaR8jOk099RQMGjTIrldkEnqmfTANj/33cSsCDTBpSJQA8vJyjXXjQmFB4Za+jAR1+OGH4dSpU5HaM9WuSzlo8eIlePONN/Hjjz+hsqrSCj5hYaE2pScnO8dKWUcedSSONXPiJCtxnE899TQ++eQTmzLEJKWMjE1WnqKsc+4551gZ6/nnX8B7776PvfbaE1dffRUWLFyIhx9+BDExMWY+zzPi1/61+84nnI//Pf2MEaw+wwEH7I/Lr7jMph9R9nr7rXfw+RdfINekHCWY44HCEvd98+bNpnxZqtnGXpgy5WgMHjzIph0VmRJjy3OCkFHcdDm0OoPQDyLQjgTaSxDiOcr0MaZ+8bNRTQREQAREQAREQAREQAREoHMQYKluCj5M8mXCckuargdaQk3riIAIiIAIiIAIiIAIiEDHE6jvekCCUMfPi0bQCgIRYSZFKH6zSRFq3gVuZxSDHDwhwaGIDTUSQlgPxAVtKUvkvNfSFCGVGXMI6rEjCXhMfaiSvBIUZuSjrKAUVazxZCJhgkKCEBZlyk+lxtk/YZFbyls5Y40Pi8PAmL6mVFicLak10yQFPfjAg0bMceNvF/3NpvhQXnn66aexYMFCHHfccTj33LNrS3OxH0ozz/zvGTz33AtWOhkxcoRJ9ZloUoBGm7JWkVhjxJ7PjGwyb948TNp1V1x22aUYNmyoLfe1evUafPXV11Zy6d2rt+n/WGy//fa2dBiTbZhe9NSTT2H1mtUYP368TbPp27evTeT5zaQOTTPiEMuGHXvcMTj//PNswg8FoRkzZuK2227Hxg0bbfoNk20mmdQflusqMPLSd999jy+M6BJpSpmdbuSiM884w5YG43uffPwpnjL7S9PmQJOes/vuuyPBlOKiVPTtd99ZcYZRgmeddaYtucaSYpRkKDzdc8+9CA0JxZChgzFxwkTsMH57KxdRoGHaDxOGRpokHzLYZ/I+dhoo5Lzyyqu21FqPHj3A5B8mDVFmSk/fYLc3c+YsjN1uO1xy6cU2vYgrMk3pv489bsUsmstM+dnFpDSRf//+/WwKU5kpp/a0kYjefPMtmx5067//ZcSqDNxrxsnkphNPOAEXX3KxLUnGPsmOaU633vpvy+7sc87C2WefZUuKfWAEqGefeQ5V5heiBxpxiFxSTdm4XHL59jtMNyKXy/Rx1NFH4cwzzzACUbwpoWbGWRCExVlbl2Tj9tREIBAItJcgxPKM/MPPV5YdVBMBERABERABERABERABEegcBHh9ztLe/IIP/7Sk6XqgJdS0jgiIgAiIgAiIgAiIgAh0PIH6rgckCHX8vGgErSTQ3BQhykFl5o+npvN+850pQgPCk7cShFqaIqQyY608+LR6qwhUuauQtz4XuetyUF5UDndJBaoqKlFtSj9R9ggyaRUhYcFGEgpHWHS4kYRikTwoFVEJUQgOCkbPiFRTXqy3KRUWaspH5eDVV1/DCyYtaEcj1Fx11RVgOS2KMa+Z159/3rxu0nouu/QSjDbyj9McQejZZ5+3pbNOPuVkIxYdamSdRJuWQXnm448/weOPP2FTeygeUYLh+PjeW2+/jYcfegRDhwy129zVpAe5TJpRoZF1mOLz7rvvIcGIMyeeeIIpszXBSEcRNn0jc3MmXnvtdTzz7LMYN3YsrrzyCuwyYRfbryMIcWyTjYhz9tlnY8Tw4XZd/jLvt99/t+IMhZ9DDjkY119/nU3DWbd2nWUwY+ZMKypdeOH56Nevv5F1glFVWQWW//qfkaFmfDMD+5mSazfccJ2RZFL/EoTuvgc9eiTimGOn4AQj37D0Fv/hwMQQSkmUr/JMohITjyg0BQUFmTJrS41g9SxWrFqJvfbc04pH8UZIopHM9ZiG9IBZL9/MwylTT8GFF15guXoLQoMHDzai02nYe++9bLIPf3EZGhpmU5a8BaHbbv+3+WVmFV5+6WU8b+aZks+Nf7/eykWcz9LSMnz++Re44447bWrRddddi1122dnIYQtw5513mxSntTjo4INw3nnn2pJmTDkiT5ZH4zy9/vqbVv66/PJLrchkphhZpS4s2BRiZSHnmNGjCAQSgfYShHi+8/OrNd86DiRuGosIiIAIiIAIiIAIiIAIdBcCvMbmtT3Tg/jv+ZY0XQ+0hJrWEQEREAEREAEREAEREIGOJ1Df9YAEoY6fF42glQQiw0pNilAmwhpIEerMqUG+aBoShLicUoR8aennQCZQnG1KOy3LQMHGfBRk52O9kTRWrlxpE3KcX1g5sXcs7zVk6BCkpKUgOikWKUN7ov/Q/hgQ1xepEUkm+cUFJvI88sijWLjwV5x8yklWAomOjra//KJw84gpS+U2Msg5JlGGZcL4yy02RxB68cWXTcmu3XH55ZdhO5N2U9uMJPLjTz/h/vvut2W+zjGlr84++0y7fllZGd4x5bzuvfc+DB82DFf/39U2fYjrMmVjc8ZmbMrIMIlFUWDZLpbFcprbXWmThyizpCSn4DIjpRxkEn+8E4Tc5pd3Z5nxnnbaqTa5w1l3s5GLnn/ueTz77HPYY4/dcdPNN9pyYSw/RkmIZdGSTPmsoYYZSwI5LSsr2whEr1qhZ4cddsA//nkLhgwZXCsI3Wf2kVLVFYYBy5eRv9OWLFmKB+5/ALNnz7FJSddc+38IDwu36TxMSOL+pqX1MkJSX2cV+7hs6TI8+OB/8PPs2TjiiMON0PN3hIWH1SYIffDBBzaNiK8zRci7bTAJSo4gNHnfybjdCEJMG2Lizx133AWKSJdccpFNF+J6GSZdiAIU54Qi0HXXXWP3//33PrBz1Lt3b1x77TXYd7/JdfaNaSjz5y8wqU13WNHsFCOJUa7iMVJQ7sKvm4NRaMqNqYlAIBJoL0GI+86yBPxc4GcfP6vUREAEREAEREAEREAEREAEAp+A8+94lhJvTXP60fVAayhqXREQAREQAREQAREQARFoXwLOv+O9rwckCLXvHGhr24CAy9QiSkvcgKiIkjq9dyUxyNkxlhkbGpmGpJC/RAPnvZamCKnMmENQj+1FoGBTPtJ/XY/8jblYuXylKQv1qxV1KLbwG23eN575LbfY2FgkJiYamWUIxo4bi5TeqRg5biQm7rgLekQn2HU++eRTIwE9asuHsZTVgQceUCuBUDx6+un/4WtTDuzggw+2JbJSTHkpNkcQevnlV3HAgfvjyiuuwICBA+qgYKmwB+5/0ApMZxk5iAk0FG8aE4RsB+b+ebXHY5J0ypCdnQ2KPXxksg6llEWLFhlJ6FMkJSbhUpNsdOhhh/wlCN1+O2DCzv72twtx3PHH1hlPbk4uXnr5ZTz22H9N0s2uuOmmG23yDRciO6YFFRlZiKlKGUZQys/Lt0k5hUWFRvCZjW9nfYdx24/DP/9xC4YNH1YrCN1vBCCKQ9dcc7VNIPLe6IoVK/HQQw9jpkknmjJlik0fYpoIm8fDbVZaMSkrK8sm/xQXl5jXq5FhypOR+8pVq3DYYYfhZiMzcT0nQejDDz+y+819iIuLM5/m5j+zD0Emhak+QSghPgErzHw+bIQvymBTphyNiy++yKYkLVq0GHfcfofpO91yO/GkE8CkJkpDTJfaZcIEIxndatKF+pokOdhUIBNQZfQy2HJojxrB7KOPPrHC0b9vu9UISHEodruwKCsIWSVbhDK7w/pLBAKIQHsKQs43DVRmLIAOAA1FBERABERABERABERABBohwN9dhIeH299B8N/xrWm6HmgNPa0rAiIgAiIgAiIgAiIgAu1PoKHrAQlC7T8X2uI2IBAdUYzEuCyEhWy52O0K5cQawjQsqg9Sw+LqfbslkpDKjNWLUi9uIwIFGUYOWrAOm1ZuxO+//Y558+ZZaYbCTGONqRUUhYabUlvjx4/HiJEjMGHiLtjJlBPbZJJjnjOJOu+8844pLzYeTPkZZhJ9WFqrutpjJaCPP/7YlpEaOGCgSQkyJaRMKTA2b0HowIMOwBVXXG7TfrzHMnfuXNxPQchIMmeedYYtr9UcQYjlsFYZMWb69On4/fc/rIhTY4QhJtMEBQchNzcXa1avQe/efeoRhO6g7YOLjCB07HE+gpBZ7+WXX8Gjjz5mS2HddNNNtYIQxRyW1GIZsTVr16LCbYQrY8PYMmOGMVlt3LjRlmH7hxGEhtcjCF1r0oHGjRvnjQAUhB42ghDLl/kKQizjxlSf700Zss2Zm21qE8NFQkNDrUS11oyjtKQUh5sEoa0EoY+MIGRKuvF1zm91TTUqa6oQERReVxCabBKE7vi3LUGWZ4QnpgRR+tp5553w9xuuNyXhkjD9m29w1133mLJpKfjHLTdbmYzbfug/D+Orr6fjgP33x63//qeVyNzVLhRVAHHhNQg1klB2dg5eevElW0pu5513xt333GXTkEorXVhiBKFNxRKE6hwQ+iFgCLSnIMTPLqdMIkVHNREQAREQAREQAREQAREQgcAmwH+/89/x/Pe7x/w+ojVN1wOtoad1RUAEREAEREAEREAERKD9CTR0PSBBqP3nQlvcBgSCXB70TNyImqBMUHiprK40CRGtu/DdBsNsky4bE4S4gZaUGlOKUJtMjTppgkBpfik2/LoO6/9Yh4ULFuLHH3+0qTNNrFbnbf7PjJLQxIkTbcrNrrtNQoFJHvrPfx7CfCPG9EpLs6k4ERGR5pdgJl/MmCoVFW4rxaxevRpMoKHkc8YZp9tv0W1LQWj5suV47fXX8ZMpUcZfpA0bOhSDBg9Gjx49EGqSkX7/4w+bINQztWebCELcTyYEUZaieJSYlIhRpmQYS7TFmTQcxgf+/PPP+P77H6xk1RaCUEF+gZFvvsabb76FrKxMk87TD2PGjEZyiikHZ8qBke+XX36FdevW4fDDmxaEKAdVmM/vmJDIBgUhymQ//zzblBm728gK4bjggvOs6PTmm2/jrbfetqXarrvuWiMcxYBzzvSnWUZgYnrUrf/6B8LNOhVVLhQYQSjehCCFB9dYWesVkyLFZKIdd9oR9xhBiGXhrCCUbQShIglCdU5E/RAwBNpTEOJO89vHFCSZ9uaUgwwYGBqICIiACIiACIiACIiACIhALQHn28IUg9pK8Nf1QC1ePREBERABERABERABERCBgCbQ2PWABKGAnjoNzh8CvRLT4XZthLvK3PXtwq0pQaglKUIShLrwARMgu8YyVJuXbsK6uauxcN5Cm6rDBJ2WNEpCLIW15557WhklOzsLL730CgoLCxGfEG9vYNfp16TZuCvdNsGH5bcOOGB/XHXVlUbWGbTNEoQKC4vw/vsf4BlT3iopOQlHHXUkJk2aZBJwzPjCwq24NP2b6bj/vgdMKauENhGEWFrruWefA8t2bW9KiB1//HE2aSk6Osam+bCE23vvvmcFIpZqa60gxP347fff8eCD/8GyZcuw99574eijj7ZCUqSZo2AjQa0xgs4TTz5lZbB6S4z5JAiVV9UYKceDxMjgBgUhzu2aNWvxxBNPYs6cXzB5n72xw/gdbKrQmjVrcMklF+OYY6bYEnPphsmjj/4XH5rt7L333kYq2pJCVGX80TKTDhQVWgMT5mRKsW22iUQvv/SyLdt29z13omfPnij5s8RYpkqM1Tml9EPgEGhvQUjfGg6cuddIREAEREAEREAEREAERKAxAs63hdtS7tf1QGPE9Z4IiIAIiIAIiIAIiIAIBA6Bxq4HJAgFzjxpJK0kEBFahpCIZXAFFbayp8BevSlBiKP3N0VIZcYCe867wuiKsgqxft5aLJrzB2bNmoUlS5a0arcSEhKw++67Y7fdd8PKlStsKs72pizWgQcegNi4rUvwlZWVmdJbC23prSSTrHPJpZfgkEMO3maC0GqT4POkEVg+/vgT2NJll1+Ovv36WmmFO15ZWYnPPvscd955F+Lj4lstCA016UQshXb33feAUsypp03FWWeeiajoqFrOLKP1ukk0euqppzF2bOsFIRjx6osvvzTSzZ0mmSnelG67DAcY/iFGDHIaS5OxxNd3332LQw87rMkSY5R2ikylyNTomkYFoSIjYH38yad40shHLCk2atRIk9Q0G8nJyUZ8urm25Fpebh5ef+NNPPbYfzF69Cj73pgxYzh0E68OKwdxrCtWrMCdd9yFX36Zi0MOPcQuFxkZacqQufB7pikHV6YEIWdO9RhYBNpbEOLeO98adrvdaKo8ZGDR0mhEQAREQAREQAREQAREoHsQ4HV5WFiYTf2kINSWTdcDbUlTfYmACIiACIiACIiACIhA2xNo6npAglDbM1ePHUggOWE1qoM2o8qUqOmqrTmCUMtShIpQXlXWVbFpvzqYQMaSTVg9eyXmGInjq6++anW8tcvlspLLfvvtZyWf9A3pOOmkE3HsMccgNCx0q72trqq2Jciefvp/+MOU9mK6zt/+dqEtk8OUn5dNeSkr8lxxuS0t5d0BxZv7TZmqlUZ2YXmy888/z5bYYUT3e++9b8pR3YvBgwbjqquvNNLSbnbVpUuX4pGHH8X0b74xpbUOw9VXX2UTaZx+s7Ky8eqrr+F/ZjwsAXbppRfjMLMcS6LNmDETt91+B8wPuMiM8djjjnVWs49MXnr55VdMMs5jJu1mEm666SYMHToEP/zwI2436+Xn5ZlxnolzzjnbjpMrsd/ly5fjice3SEs77byTTRAaMWK4TVZ6++13zD4+YJOZrr32/zDOyFbejaLPww89jBkzZ2LKlCm44YbrjBhQbdKKPsTdd92DXr164f/+7yrst/9+tatRHvjpp59Nia8HsGrVahx+BAWhm0DxZv369fjvY4/bZJ9DDz3UikOxsbE21afQpPb0jPY0Kgh5qj1YuHChYX8f0jdsMClM8SgpKcFBRlC64sorbOkxDqTSXYnvf/gBt956mxGCPDjLzN/JJ59kf1HqDJSl17766mvce8/9JmkpBOecezZOOeVkK3Pll7swf1OwLTXmLK9HEQgkAh0hCPHzl+cxG+VLfr6oiYAIiIAIiIAIiIAIiIAIBAYB/nud3xbmI39vwWvhtmy6HmhLmupLBERABERABERABERABNqWQHOuByQItS1z9dbBBJgiFGpShNCFU4SaIwhxGvxNESqskCDUwYdvl908y3ptWLgei7793STJfGfKQs1pk31NTU3FXnvtZVNjwowUdKIRhHbaaccG+87IyDClyF7GK6+8iu3HbY8rr7oCvXv3smXAWiIIMTnjU5Nic5dJ7YmOisJ5Rhw61KTP8Ft6mzdn2n5ff/0NW+brtFOnYtfddrU31bOyskzJrZ8xbdo0LDSpRoNNqbOLL74IRx19VIsFoWHDhhph5ldTsux+zJ03D3vssYeRYc404tBQ2+e6tWvxzYwZ+Oijj7F+3XrsvMvOuOWWm22JtqKiIrREEGK0OGWm22+7HZRsDj/icCPWnGJEqFT786JFi/Hpp5/iiy++BI+Bww47FP/45y2Ijo5utSDESd64cROef+4FvGPKppWXl6F///647LItyVC1B4HxFtaafX/iiafw1fTpGDpkiBHJTrBiVWJiopWjZv88B6+aZKWF8xditz12w9XmuBhiljNV8ZBZ4sKCTSGolv9Qi1RPAotARwhCJBAaGmr/8GYDbzqoiYAIiIAIiIAIiIAIiIAIBAYBJ+GHycX8sy2arge2BVX1KQIiIAIiIAIiIAIiIAKtJ9Cc6wEJQq3nrB4CjEBXTxFqriDkb4qQyowF2IHchYZTml+K9fPXYs7XPxuhZAbWrVvXJntHEWfSpEm21BgTbA48cH8MHDTQyBzVKK+uQJV5DHIFISIoHKFBITZN5osvv8CDDz4EJgqdf/652HufvfHiCy/ZNJ/9D9jPlskaMGBAnfExQegBkyC0YuVKnH32WTj33HNsMg9TM2bPno0HHviPLZnGElZjtxuL0WNG2ySh2bPn2JSf9PR0DBo4EMOGD0dUVCTyTMLPhg0bkZ+fj8LCQsSZ5JwLLrzAJiCxz1mzvrVlu6qrq/E383p9CUKUnB7/7+OYaPb/73+/wZbUonj05ptv4bnnnrfpQyNN2a1+RpphPa2srExs2pRht81tDh82DNffcD0mTNjFSjLvvvOu5TJu+3E2CaihBKGZpjwcU5quve4aW2Zo5cpVpszXk7ZcGlN8xpnSZalGEGKqyAaT7JOZmWUSjfLtz/vuOxk3GykpOTnJCELpdvxMIDrUiEM33XQjfBOENm7ciKeffgZvmBJhk/fZB7ff8W+wtJzTuI2vvpqOu+68Gzk52VaKusWUF+vfv59dhKEm5guTqCivwDwjTT39v2fx22+/m7Sjnn+OsycKCgqNpLUAq1evNgyH4exzzsLkyftY8aGiyoXV+S6szA12NqlHEQg4Ah0lCBFEcy40Ag6YBiQCIiACIiACIiACIiACXZhAe4o7uh7owgeSdk0EREAEREAEREAERKBTEmju9YAEoU45vRp0YwR6JabD7doId1Xb1thubJvt+V5zBSGOaXN1MQo9zeegFKH2nMn22VaVuwrukgq4y823xowxERIeivDocPMYYuOm22MUBZvysW7eGnz3xbf4+uuvrRTTFttlTN6ECRNw8MEH22QeJtcMHzEc/Yb1R4GrCMWVJQgLDkPPiGQkhyfaTS5ZsgT/MyXFfvllLg4+6CAcddSRoPQybdqHmDhxgi3L1bdv3zrDYzLPk08+BYo+J5uUIiYVMT2HjUlBH3zwAd56621kZWYaASgaBx10IC6+5GKb3PONKTH20YcfYdmK5XBXuG26UFpaT1MebZwRYmIwf/4CFBcXm7JdR2Pq1FPs+xSSHv/vEygxqTxTTSLPEUceXmc8FIuYBPSWkYHGbLcdzjvvXAwaNNCW/KLoQunmm29mGCFok40Sj46OsmXTRgwfgQp3hZFkfjO8onD6aadaOYfbZ8rPC8+/gEEmzeh8k4Q0evToOttcvXoNnnnmWTPeeTjkkEPMNs8zckCYlW/Y3zvvvovZP882AlK+ZRMXHweWLxs0aJDlxhJlo4ywdP7559vXKf+88PyLoLA1efK+JrXnSkTHRG8pMVZhSozFeCzbV1991bB914hgE01JtJtsKTFnYJSpli1bjsdMqbKVK1bYhKLzjPTFfwBVeUyUehUQE7Yl+ocJR5xH7uf8+fOtuGTcIXMOBCHSSFs77LC92a+Dscsuu9h5YXpQdqkLS7ODUWjGoyYCgUqgIwUhfgY7pQsqKipAqVFNBERABERABERABERABESgYwgEBwdbiZ/Xykz55OO2bLoe2JZ01bcIiIAIiIAIiIAIiIAI+EfAn+sBCUL+sdXSnYCABKG/JkmC0F8sutMzd5kbeel5KDRiTmW5G9XuapuYQwZBwUEIDgtGqBGFYlJikdg/GRGxEdsUT156LtbNXYNZX8w0iS9f2TSZttogBSEKK2z85VRcXCx6De6N+CGJCIkPRXBQsBGEUtA/ug/CgkJt6atVq1Zjo0m3SUpKQt9+fW2KzMaN/DnZlOQaYmUj7/Hl5ORi+fLl9hdsAwb0x6CBg8zGtizBJKJMk87zxx+LbCkrjmHUqFHYccfxCAsNQ2FRIdasWWsTarKzs60AxIQbijNcNj19Ayoqyk2psz522/wfeE5OjhVfWLpn4MCB6NOnt91YjYkCcpn/GBFOwWbt2nU2UYdls6KMBMTGUl7ZZv3Vq1fZ7bJ8GJN9WMYsLS3NCj0bN200S7psSa6BAwcYsagKLL/GNKCYmBibpEOO3q2oqBgrjIRTUJBvEnh628QiR5KiGLDJlPtatcps05TzqnRX2hSh4SYxqYdJ/KHQREbse8iQoejRIwElJSVYsXwFsrKzkJraE2OMkBQcEozSSpcVctKMIMRfaFJMYuJUcnIyxo0ba+Uf/o7TU+Myc1tj55PjZioTk584P3y/wEg9m4qC0DvWg/iILb8UdbvdRgzKNP2tt2Nl/yx3xlJ15NMrrRciIiMYuIRis/7K3CBsKg6ypca8Wei5CAQSgY4UhMiBnwOUhNh4TvFzS00EREAEREAEREAEREAERKB9CfDf5Uz04e8Z2lPe1/VA+86ztiYCIiACIiACIiACIiAC9RHw93pAglB9FPVapyZAQSg0NB9FlcWoqt42tbY7EpAShDqSfmBvu7qyGrnrc5C9KguleSUoLSxFnpFbNm/ebMtI8dtjFCJSUlKQnJKM6LhoRCZEGUkoCUmDUhEWGbpNdjB/Y54VhL778lsrCDGxpq2atyDkfDsuNCIMSQOT0Wt0b0QnxSI+NBYDovsiISzObpY3sJ2kCybImN+f2Zva/B8oBR02T43HiiLB5n3v5b2XsQvyL2OUuCvdRnwqty/xZjnTdZzG9Smn8Jd0QUZYiogwJc9Myg3Hy3Hw0btfZ3v8xR4FJ1eQy5ZNY+m0sKAt/TrLeK/nbI+P7Jc36ykMhZhtcUzBRg7zmGic6moTrWMEoS3rbklCqu3P7C9FHTYy4H8hrpAGx2oX/PMvikss+8W++ItJJ1mkxmyzymzT7o/hy0fuM8UkNpaBc7ZZUO5CbpkLg3oY/oarx1Nt+/PezwqzWrkp/+WIP55qM0ozVs4d+zanAdILg7A6LwiJkTUYaPrisn86XZZNWWkZqs04Q8y+slQd54ONyUFFRg5aVxCEDCMHGbdOTQQCmkBHC0KEExISYs8jntf8nONngJoIiIAIiIAIiIAIiIAIiED7EOD1siMH8XcPzrV2+2xd1wPtxVnbEQEREAEREAEREAEREIH6CLTkekCCUH0k9VqnJkBBKCqiBPkVBV2yzNi2FISqPFUodhebm+LuTn0MdMfBlxeXI2vFZmStzERuhkmgWbrMJMKstOW8WF6JvyTizVuKEFFRUTbNpX///jbtJrVPTysJpQ5PQ0xSTJvjK84pxvr5a/HzVz9i+vTpNq2mLTZCIWTixInYb7/97L7xZybm8JdhyT1T0NPsT5+x/WzpqpSIJPSO6omo4MgmN+32uFFoBEM2SkUUZLwbOZZWl6Hi/9k7D8C4jjr//1RWkiW519iOY2MCJKSHJIT0kAQIBO5oB3f0HiDAUe5PPzp31KMEOEqO3ssdPSFHSy69h8QpJHHibse2ZNXV7kr/9xkx8uj5rbQrbZP2+0vk3X1v3ryZz3tvd+Y33/lNlI782ppaw91j74n4w/+IVqZjiF/2ZXqsLztgi1oX2JymAyM+ZUeyNpBLW5NFS2ZF+6d7TvLrHuqxTPSdwDmJvhQadRsazrjvitZoGTcvXArTFPM+whQtL2a2KRLmINB57LJhm5Ni63hDGLSth+XDGuyQBcPWHksTaYVsdyQwum9Pk+2NXpsj/dPCSCRERKJF7SPW3hwJhRIuB2KkdCQGQpxE5KHd/Y1R3cefW59EoBYJ1IJACC78tnihXSVnLNfiNVGZREAEREAEREAEREAERKBSBPCDMOnFTZaJJu0wcacapv5ANajrnCIgAiIgAiIgAiIgAvVOYKr9AQmE6v3OmYX1l0Bo/0UtdokxjtyX7okG3wf2Z6J3NU9gsGfQtt+11QmE/nrXX+2WW25xy111d3e7aClJFcB5NHfu3Gj5qlV2zDHH2GMee5gtPoSoO6tsbrT0WCktM5ixzbc9ZLf/8Va74oor7NZbby1J9gsXLrRTTz3VLYmFE2zRokVOCLVp0yYnEjryuKOcQGjlEautJRL5zGmec4DYJ6kg0YJskfAl44QkCF8ao/9CQxyDgCYXCXdSUb5NDaMRd8I0o++9wCVBkXJg4rxbvBgHAR9inLhgiQOJ9JONIgxF8ZBceViKbDpGfgilhiPlDOdsiv4bb1Ekoqj+RDUiytGB+8enTvqUamq2jlSHpYfabE/voijKUIP1Rb7M3HC0VFzriDU3eX77j2ZfP2miJcY6I3FQPI0T+kTiod4hoi6NHtcUoWiNhEFtkc4rlZCnzx1xEcKjgWiZM3+s36dXEahVArUiEIKPjyTEe4SafC8jqJSJgAiIgAiIgAiIgAiIgAiUlgA+HUQ5tMGxakQOitdI/YE4EX0WAREQAREQAREQAREQgfIQmG5/QAKh8lwX5VpFAl4glIkG+GfjMmOFRhDqGh60vVGUk2w00F+MSSBUDK3qp80OZW37hq227Y4tduftd9pVV11lW7Zscc6hQkqHA4clxx7/+Mfb0ccdbcsPPSgS1ay2trmTR9opJH/SMEC8NSrf/Vff68r3hz/8oSRL0DzmMY+xc845x1iyrK+vzw4//HBXpAcffNC2bt3qhEOHHvMoW3PCOutcVPrISIXWX+mSCbQ0t1pH01Lb27PYegZGl39LTqmtIiAC+QjUkkCIMobhTPnuRyRU6SUO8rHSdhEQAREQAREQAREQARGYDQTw4yAOYlCANnctLfOr/sBsuMNUBxEQAREQAREQAREQgVomUIr+gARCtXyFVbYpEfACIQ6ejcuMFSoQ2p7rtZ7hdFEMB6LIQf2Z/iiCR7TWjmxGENh1/07bdNNG23DrBrvyyitt48aNeaMG5asQTqXly5fbaaedZkcff4ytPvpgF0mI7aWyri177aGonLdfd5shEHrooYemlTXLpCFqOv744+2uu+5yg9AnnniiyxOxEFGKKP8ZZ59hRBBaffSaaZ1PB5eWQHNTyuamOiPhwHzbsWdlFLEnHqGotOdTbiIwWwnUmkAIznz3+k4Kn4eHh913dC6ntgU8ZCIgAiIgAiIgAiIgAiIwFQIsH4AwCBEOVqtRO9UfmMrV1TEiIAIiIAIiIAIiIAIiMDGBUvYHJBCamLX2zkACoUBoNkYRKpdASOKgmXezD+wbsE03P2h/vekeu+r/rrKbb77ZDcJOpSY4mA499FA7/fTT7bDHHW5rjltr85bPn0pWiccQ6WjLbZvsvuvutZtuusmJmfr7+xPTTrYRZxPRg574xCdaV1eXy2/dunVuqTRmz/Ejef3119vmzZvtvPPOs/XHH2rrHv9Ia05JhDIZ20rtJ3rQgtb51j/Yadv2rKrUaXUeEZh1BGpRIOQh87vCAAbfyRhCIURCDGTwXS0TAREQAREQAREQAREQARGYmIAX29Cm9sIg2tRE6qR9Xcum/kAtXx2VTQREQAREQAREQAREYCYQKFd/QAKhmXD1VcaiCIQCIQ6cbVGEyiUQ0tJiRd1mNZF4xz3boqg8D9p1/3et/fGPf7Tu7u5plautrc1OPfVUO+2M0+zgYw+x1UeVNurOlr9sto3X3ufKec0119iNN944JUHTmjVr7Mwzz7QFCxYY+Wzfvt2Ve/Xq1W7wubOz0+V9yy23uO0nnf14O+SER1jnYi0zNq0bZJoHp6KoQe2pdpdLo0UzHoc7bU/PMusdHN02zex1uAjUJYFaFgj5CxIfGGA7gxnhH4IhiYY8Mb2KgAiIgAiIgAiIgAjUIwGc//7PC4K8KAgeM0UYFL926g/EieizCIiACIiACIiACIiACBxIwPcFeC13f0ACoQP5a8sMJyCB0OgFLGaJsYFMtLRYVkuLzaRbP5cbts1R9KB7r7nb/vSnP9l1111XksHVww47zM466yw7/AlH2CHHr7PWjtaSYdly+ybbeN39Lr+9e/faDTfcYIh4Co0khFNp7dq1dsopp9jSpUvtjjvusKuuusoQDJ177rluSRtm0SEcIprSn//8Z3vc4x5n5zz1XFt9zBpbtn55yeqijJIJhCKgeApEQez31j/YYTv2rrLhkdItZefz1qsI1AuBmSAQ8tfCd2xYfiwc6PD7eZVIKKSh9yIgAiIgAiIgAiIgAvVCgLZyks2mKJzqDyRdYW0TAREQAREQAREQAREQAXMTBZI4lKs/IIFQEm1tm9EE4gKh2bbMWKkjCEkcNDNv9/7uftsURQ+68Q/Xu+hBGzduLElFFi1a5JYZO/Xc0ShCC1cvKkm+I8MjhkDowRsecLPeGATu6+uz++67z26//XbbtGmT257vZIh+jjjiCDv88MOto6PD7rrrLrv22mutp6fHTjzxRCcaSqfT1tLSYu3t7W7Zscsvv9yOO+44e8oFT7GVRxwcRUQ6OF/22l4EgQlFQA2RCKhxvwgoX7bZXLN19S6y7r6F+ZJouwiIQAEEZpJAKKwOgwOIhPjjffwvTKv3IiACIiACIiACIiACIjCbCfhomuGrj7Y5WwX06g/M5jtadRMBERABERABERABESiGQNgP8O/L3R+QQKiYK6S0M4JAXCBEoWfTMmOlFAhJHDQjbunEQu7dsscJhP586Z+cQGjfvn2J6YrdSGSH0047zc558jlR1J1D7KDDVhabRWL64SjiEQKhh27c6JaV2bFjh1tejEhAXV1dtnPnTmPb1q1bjbrw4zdnzhwXKWjVqlW2bNkyW7JkiSECIjrQhg0bjChEhxxyiIt4xCBzb2+vPfrRj3YDzkQn+t3vfuciCD3laQiEVtvBUX1khRPIJwRqLFAENNGZBtLttrPrIEMoJBMBEZg6gZkqEJp6jXWkCIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIjAVAlIIDRVcjquZglIIBQJooYHbW9uwLI2nPc6SRyUF82M2LHr/p2RQGij/f63v3cCoaGhoZKVG4HQuU+KluU6eo37K0XGqF7DJcYQ89x5551OHMSyZsuXL3fiH7YjAiI9YiWiBXV2dtrAwICLGnTPPfc4MRHRh+bOnWsnnXSSHXPMMfbAAw8YDIgYlM1m3ZJrV155pZ188sl29nlPtFVHro7+FEGomGuJ6Kq9ud3aU+3FHFZQWpYX27ZndUFplUgERCA/AQmE8rPRHhEQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQgfEEJBAaz0OfZgGBw5fuNmvpsvRIdqw2s2mZsUIiCG3P9VrPcHqs/klv9qX32WB2MGmXts0AArvu22kP3RwJhH7zv04glMlkSlbqU0891c570nm26pg1dnAkEiqVbfnLZtt43X3GcmMY0YKuu+46e/jhh40lxObPn++iBCH8QZyCKIgoQXv27LHu7m7bvXu3W1IM8RDRhY466ignAOL4zZs3u+XHiEhE+iuuuMK2bdvmoiGdcNqJLnrQknVLS1WVusmnHCKhXLbVunuX2t7+jrrhqIqKQLkISCBULrLKVwREQAREQAREQAREQAREQAREQAREQAREQAREQAREQARmHwEJhGbfNa37Gh23bJ9lU7utb2R8RJXZssxYZ/McW9u2zOZHkT3y2WQCIUUPykdu5mzf89BuJxD602//6ARCRNQphSEIcRGEnhxFEIqW5Fr52FWlyNblseu+Hbbx+ijST9+oeI1IP9u3b7drrrnG7r77bhcxCOFPS0uLsR49+wcHB51QKJfLjZVj3rx5duSRR7poQUQbuvXWW23x4sXuc1NTk1t+7LLLLrOVK1faueeea+uPeaStPXG9tc1tG8tDbwonwD2Raky5v1JEExpId9jOPassO9JQeCGUUgREIJGABEKJWLRRBERABERABERABERABERABERABERABERABERABERABEQggYAEQglQtGlmE5jtAiGuDiKhloZmd6FWti46QCw0kUBI4qCZfX/70vfu7rVNUQSh6/73WicQ2rJli981rVei95x++ul2+nln2MHHrrUla5dMK7/w4P69fbbplgdt+z3b3BJiqVTKEP4QJQiB0F/+8hfbsWOH2xce598jHDrkkEOcOGjNmjWGKOrGG2900YROPPFEQzjEEmVXX3213XLLLcY2xE4HHb7a1j/hkU505PPSa/EEShVNqG+w07ZHAiGZCIjA9AlIIDR9hspBBERABERABERABERABERABERABERABERABERABERABOqFgARC9XKl66ieCITmtvXbrlzfuGXGZksEofil7Ghus9aGlNuMWGgkivaxNzdgWRuOJzWJgw5AMmM3ZDNZ23TTg3bXVXfan/70J7vppptKUpf169fbWWedZUefdoytOW6dzZk/pyT5kslwbti23bkliiJ0v+WyObeMGJGCMJYTY6kw/hAJ7dq1y/r7+52oB+HPihUrbNmyZS5SUGdnpz300EN2++23O1HQ4x73OLc0GUuPbdiwwS6//HL3+YlPfKId/Ig1tuqog23l4RKkONDT/KexodGIIjTVSEJDmTbbs2+p9aXzR0CbZhF1uAjUFQEJhOrqcquyIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIjAtAhIITQufDq5FAgiEls0Zsq3ZnnHLjM1WgVB4DRALmUVLM0XioPZoCbJU06hwiDQSB4WkZsf7rXdssQdvvN+uuuIq+/Of/+xENtOpGctznXTSSXbmWWfa2uMeYWuOX+tEPNPJM35s78M9UeSjB23XAzvdLs7pDYEPy4ohDOIvk8k4gVBra6t1dHS4shAp6a677nKRglatWmWHH364Ew2Rx6ZNm1w0JY495ZRT3L6lj1hm605ab62dWl7Mc57u63REQv2DHbZjz+oE+eJ0S6XjRaA+CUggVJ/XXbUWAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQgakQkEBoKtR0TE0TSBII9WX6I4FMvw2PHBhVp6YrM43CNUfioCaifURCoexwJLrI9ltuODeNHHVorRHwy4zdfcNdLorQHXfcMa0isnzXGWecYUeecFS0vNghtmjN4mnll3QwUYQefmCXEwn17N7nkrDUmDcEQl1dXbZ7924nEGIJMpYNYxvCH9IuXrzYEAcRUYhoQtjWrVvtyiuvtH379tlxxx1nhx12mC1asdhWH73Glh263Gev1xIRmIpIaCTXYj29S2xX39wSlULZiIAISCCke0AEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAERKBQAhIIFUpK6WYMAS8QGhjJji0zVg/Rg/JdIIRCI5EwSuKgfIRm7nbENtvv3mYP3bzR7rz1DhdFCKHMVGzhwoV28skn27HHH2uHHLPOCWuaW5qnktWkx2QGM7bjnu225fZNNtDTH92fIy5SEOKf4eFhS6fTLhoS4iAEQ0NDQ+6PdG1tbbZo0SIXUYjlyUjzwAMP2A033ODyOProo23NmjU2b8E8W/aoFa4eqbb9AqRJC6cEBRMoViQ0mO6wh/eutPRwY8HnUEIREIGJCUggNDEf7RUBERABERABERABERABERABERABERABERABERABERABEdhPQAKh/Sz0bpYQ8AIhquOXGatngdAsuayqRh4C6b60bb7lIXvwtgdsw50b7Nprr7Xt27fnSZ28ecGCBS7qzrHHHmtrHnuIrTlunXUs6khOXKKtQ/1Dtuu+Hbb9rq3Wt7dvnACosXG/gARRkBcQIQjyhpBo165ddu+999rg4KAhcFq5cqUtWbLE2trbbMm6pbYqih40Z94cf4hey0AAkRBLGaYaU9aeas97hraGZhtOL7QNDy/Km0Y7REAEiicggVDxzHSECIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACNQrAQmE6vXKz+J6hwIhH0Vox+BuG8qmZ3GtVbV6JoDAZvMtD9rmOx+yjRsfdNF0iKqDiGYyQ1Rz/PHH26GHHmqrH3WwrY6WFpu/Yr6LxjPZsdPdTySh7u1dtvPeHbbnwV1RtKCcNTU1uahAlL25udl9Ds+DWIioQexHGMSSYqRDINTa2mqp9hZb+ohltuIxB9mc+fkFK2Geej99Aq3NrTa/dX7+jLJzoqXiVtiO/pb8abRHBESgaAISCBWNTAeIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIQN0SkECobi/97K14KBCilvcObLeHh7ptOFpmSyYCs5EAopn+vf227Y7Ntu3ebbZz245IKLTR7rnnHtuyZYuLzhPWG0HNsmXL7NGPfrStW7fOli2PBDWPXGmrjlxtc5fOs8am/RF8wuPK8Z5l0gb2DVjPzn3WvbXLurd1WbpvcCxqUBhNiPP7iEK8ss9HFaLMc5fNs6WHLrf5By2wts62chRXeeYhMJlAaCBaXmznnlWWHdkfBSpPVtosAiJQBAEJhIqApaQiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiUOcEJBCq8xtgNlZ/7bwB46+taVQQdGffJtub6Z2NVVWdRGAcgcFIaLNn027b9dedtnvLw7Znzx7r6emxdDrt/kjc0tLi/jo6Omzx4sW2aMViW7p+mS2OluQi4k5jY3UEHAiF0r2DNtibttxQ1vjMH5YZGLJ927qtd3evZYcykUrIbbaGSBTU2tFq85bPs3krFrhl0eYsaLem5qbRBPq3IgRYYqyzpdMtM5Z0Qi0vlkRF20SgNAQkECoNR+UiAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAvVAQAKherjKdVZHhEFHLumxxW2RkCAyCYTq7Aao8+pmI3FNf1e/9e3ucdF4enbsiyLypKPlu7KODOKZlrYW61wy1+avXGidS+daeySqaZlTW0s/jQyPuGhBFDoXLT2WjoRDCIWGs0EksEjL1NzSbC2RSAihUCUjH9X5bTau+pNFD8pl2m1fzwrbM5gad5w+iIAITJ+ABELTZ6gcREAEREAEREAEREAEREAEREAEREAEREAEREAEREAERKBeCEggVC9Xus7q6aMI7crusm3pPZYZHhVH1BkGVbeOCXhRzVAkDuI9S3JhLMmFkCYVCYLa5rY5gU0dY1LVS0BgIoEQ0YNG0gttw8OLfOCnEpxRWYiACHgCEgh5EnoVAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQARGYjIAEQpMR0v4ZScBHEdqRu1/Li83IK6hCi4AIzAQCky0v1phrs/6+5balt20mVEdlFIEZR0ACoRl3yVRgERABERABERABERABERABERABERABERABERABERABEagaAQmEqoZeJy43AaII9TfdYwPD+8p9KuUvAiIgAnVJYKLoQQAZTHfYrr0rbWi4sS75qNIiUG4CM1UgRDS7pqYmF9WO9/G/cnNT/iIgAiIgAiIgAiIgAiJQKwSI+Jz0l8vtjwZdK2UtVTnUHygVSeUjAiIgAiIgAiIgAiIw0wkk9QXYVs7+gARCM/2uUfnzEiCKUPOcO62haW/eNNohAiIgAiIwNQKTRQ8i177BTtu+Z9XUTqCjREAEJiUwkwRCjY2NThSEMIj3caPTg/nX+H59FgEREAEREAEREAEREIHZSACxDOZfwzoODw+7gQEGB3g/k039gZl89VR2ERABERABERABERCBchHw/QD/Gp6nXP0BCYRCyno/6wi0tG62ltatUSc7PevqpgqJgAiIQDUJTBY9KJtptb09y2zfYHs1i6lzi8CsJjATBEIIglKp1DhRkJ8VwcWh45PU+ZnVF06VEwEREAEREAEREAEREIEEAhO1kxkcyGQyTjCUcGjNblJ/oGYvjQomAiIgAiIgAiIgAiJQYwQq1R+QQKjGLryKU1oCCIPmdNwdzVjvLm3Gyk0EREAE6pQAkYPam9vdYH+qMZWXwsBgh+3Yu8pyI6OzIfMm1A4REIEpE6hlgRAzhBEGMSCA+c6NBEFTvtw6UAREQAREQAREQAREoM4IJLWhEQoNDQ3VfEQh9Qfq7GZVdUVABERABERABERABEpOoFz9AQmESn6plGGtEVAUoVq7IiqPCIjATCDghUDxsjon3wTCIJ9ey4t5EnoVgfIRqEWBEAIghEHNzc2u4r4Tw3eHTAREQAREQAREQAREQAREYGoEEAaFYvtsNusiCtHeriVTf6CWrobKIgIiIAIiIAIiIAIiMFsIlLI/IIHQbLkrVI+8BBRFKC8a7RABEahzAvlEQGApVAiUhDCTbbE9PYutd2Be0m5tEwERKBGBWhMIES2opaXFDVxIGFSii6xsREAEREAEREAEREAERCAgEA4M0OYmmlAulwtSVO+t+gPVY68zi4AIiIAIiIAIiIAI1AeBUvQHJBCqj3ul7muZau62ljn3RwPevXXPQgBEQATqj0A+IdB0REATURxId9jOvQdZdnh0aaGJ0mqfCIjA1AnUkkCIiEGIg7CwkzL12ulIERABERABERABERABERCBJAJxMX4mk3HRhJLSVmqb+gOVIq3ziIAIiIAIiIAIiIAI1DuB6fYHJBCq9zuoTurfENVzUftuG05ttKz110mtVU0REAERGCXQ2txm81srF82nf7DTtu9ZZbUV6Fx3gwjMPgK1IhBiSTH+6JggDmLmsEwEREAEREAEREAEREAERKC8BIgcxMQflvViyTGiCVXD1B+oBnWdUwREQAREQAREQAREoN4JTLU/IIFQvd85dVT/tqZha55zpzU07a2jWquqIiACImBWaYFQ398EQmIvAiJQXgK1IBDyM4XjsxbKW3PlLgIiIAIiIAIiIAIiIAIiAIEwemc1IgmpP6D7UAREQAREQAREQAREQASqR2Aq/QEJhKp3vXTmKhDQUmNVgK5TioAIVJ2ABEJVvwQqgAiUhUC1BUJECmptbXWRgxAIMXtZJgIiIAIiIAIiIAIiIAIiUFkC4aBAOp02ZhJXwtQfqARlnUMEREAEREAEREAEREAEJiZQbH9AAqGJeWrvLCOgpcZm2QVVdURABAoiUEmBUDabsr29i2xf/4KCyqZEIiACUydQTYEQyxi0tbW55QzogBQjDhoYGJh6pXWkCIiACIiACIiACIiACNQJgTlz5hRc07BNTnsbAX85Tf2BctJV3iIgAiIgAiIgAiIgAiJgVq7+gARCurvqjgBLjR2yYKd122bry2qAqu5uAFVYBOqQQCUFQumhdnu4a4UNRkIhmQiIQHkJVFMghDgIUVA4EFHe2ip3ERABERABERABERABERCBiQj4tjmvg4ODEyWd9j71B6aNUBmIgAiIgAiIgAiIgAiIQEkJFNofkECopNiV2UwhsKgtYyMtd1m2oWumFFnlFAEREIEpE2hsbLL25jnWnmqfch6FHtg/2Gk796603Agx22QiIALlJFAtgVAqlTL+fIdjKnXMZrNTOcwd09zcPOVjK30gjPjDWIKBmdalMmaF++UjpsrEl49yUb4kK8V5kvKdTdtCRgjniomoBYfweZjqtSwXz2LLFrKY6L4qV3mVrwiIgAiIgAjUOwF+i/kNzmQy7q8cPErRH6Bcvi3K+0LbQGFbYyrtLs5VKxbWv9R9hVqpYynK4TkVe73pK3G/5LNC7zmOn033XT4e9brd31/Uv5h7ohK8JruHJypDsc/LRHlVYp/vd5ajD+nznkjC4VcAAEAASURBVM73rM9jonvEX6/pnKcSrKt5Ds+xHNe5mvXSuUWg1ggU0h+QQKjWrprKUxECDM20t++wptQmGzFFEaoIdJ1EBESgqgQqFUWoLxIIbd+zqqp11clFoF4IVEMghJOJ2cLe0Uqnvli7+uqr7QlPeEKxh42l7+7utnnz5o19ruU3//Iv/2If//jHXREvueQSe+lLX1qy4r7oRS+yb33rWy6/6667zk444YSC8/7Rj35k73znO+2vf/2rO+bcc8+1yy67bNzxt9xyi1144YV2/fXXOyESIW37+/vHpdGHUQJf+MIX7HWve5378N73vtfe//73F4Wms7PT+vr63LNVS0vw4bx7zGMeY/fdd5+rz2c/+1m76KKLJqzbs5/9bPvJT37i0rzwhS+0b37zmxOm104REAEREAEREIHSEgjb6UQRYvC7lFaK/oAvz7Oe9Sz76U9/6j4W2lb+9Kc/bW9+85vdMW9961vH2to+z5n0Svk/+clPuiJ//etftxe/+MUzqfhlL+vFF19sH/3oR23Lli3uXK985Svty1/+csHnPeyww+yuu+7Km37+/Pm2bt06e9SjHmUve9nL7ElPelLetD//+c/tGc94httP2q997Wt502rHzCLwtKc9zX71q1+5Ql9zzTV20kkn1UwF6OPfcMMNUyrPBz/4QXv3u989pWMrfdDmzZvt4IMPdqc95phj7Oabby5ZEeDnfSUveMELxnwohZxgx44dxvcOvpJ0Ou0O2bBhg+sj++PpM7/lLW+xb3zjG4avCvvKV75ir3jFK3wSvQYEEFghpFqwYIHt3bs32KO3IiACpSRQSH9AAqFSEldeM4pAc1PWFs57yHINOy2Ty8yosquwIiACIlAsgUoIhLK5ZuvuW2hdvYuKLZ7Si4AITIFANQRCra2tLtIMAw0MDkzFakEgREdp165drvjM7lq8ePFUqjLpMeUSCPX29tqKFSucqIRCvP71r7fPfe5zk5aHBHfccYcdddRR4waL4gIhnF84y7dt2zaWZ60JhHC+eSfdwoULXVSrscJW+M1sFQiBEREaYjRs9erVTizU0tLiPsf/ufPOO+2II45wAkIcfwzIrF+/Pp5Mn0VABERABERABMpMwLfVeS31UmOl6A/46ocCIdpztCVo405kEghNRGf27PvNb35j559//rgKlVogNC7z6MPxxx9v//3f/+3avPF9s10gxEQQ+pgYkxfa28sfgTzOuFqfJRCamPy+ffvGfkcQdeTrC06cy8R7yykQesMb3jDmK+no6LDt27e7e3ziEo3uxU9y+eWXj0saFwgxOeh973vfuDS1JBAimqAX4vD7jTCymiaBUDXp69z1RmCy/oAEQvV2R6i+4wjMaem3eZ1bLGO7JRIaR0YfREAEZhuBSgiEBtPttrNrRfR9mppt+FQfEahJApUWCCGkwaGAuGYqkYM8xNtuu81e8pKX+I9jr8y8uv32291nnAZHHnnk2L7wzRVXXGE4dqZjOEgWLRoVMx566KF2zz33TCe7vMeWSyBEVJZwhvGSJUts69atBYlkmEX44Q9/2JUZYdTRRx/tnOEf+9jHxurx29/+1p7ylKe4z1zzxz/+8c5J/Otf/3osTbXf/MM//IP98Ic/dMX43//9Xzv77LOrVqTZLBBidh+iHz/7mlnbDM4kGTMyv/Od77hdL3/5y+2rX/1qUjJtEwEREAEREAERqAAB32ZHUM3veSmsVP0BX5ZQIMS2Zz7zmWORCH2a+KsEQnEis/Nz2K5EpE6Un6c+9alj0aMKqXUYQejwww93fdnwOIQC4YQI9q1Zs8auuuoqW7VqfGTsSy+9dKz/9Y//+I/2qU99Ksxqxr//93//d3v729/u6kEEXKJb1YvVskCI5wDhZNw2btw4JvpYu3atIbCM22tf+9qSRLEhKuy3v/1tlz3CvSc/+cnxU037c7kEQohjVq5caQ8//PBYGQuN1kb0oFCwevLJJxuTpjjeRzsiU76b7r33Xpc/3zMcQ0ShuMBxrAAVfvN///d/duqpp7qzEgUNEWQ1TQKhatLXueuRwET9AQmE6vGOUJ3HCDREC4zN74xC2TVvtNxI39h2vREBERCB2UagEgIhlhfbES0vln+F99lGVfURgeoSqLRAiKXFiBrkZyCUuvY4bZYuXeqyXbZsmeGQKZfNdIHQOeecY4hiQsPR48Peh9vj70NnOzNhL7jggngS+9KXvuSWF2MHIiccxrVmEghV7op8//vft+c///nuhI94xCPs7rvvNhx7obFcHcuRMQDJrFJEd4ccckiYRO9FQAREQAREQAQqSMC32UsZRajU/YG4QAg8LIXLkqX5TAKhfGRm13YGtBnYxphgkm/yyES1DgVCtE2ZGBI3+qD0o/75n/95LIIO/Qzav/VkEgjV5hJj+e5BRGrf+9733G7uVe7ZctlMFgiFkb88HyYWxX0pfl/4yjLufrk5/C+/+93vwt3uPQPv/C4ODQ3Z3Llzbffu3QVN2jogozJukECojHCVtQjMAAIT9QckEJoBF1BFLC8BLTVWXr7KXQREoDYIlFsglMm22N6exdYzMK82KqxSiEAdEKikQAhhEI4PP/OgHHglECqM6qZNm4xZgnTymOH60EMPuQMLmXFNwr//+78fmzVGNCY/myw8+yc/+cmxWaMf/ehHx2aThmmq/V4CocpdAe41Ik395S9/cSf9xje+MbbsmC/FK17xCvva177mPl544YVGVCWZCIiACIiACIhAdQn4tjvLjPF7Ph0rR38gSSC0fPlyFzHDR/uMl1kCoTiR2fn52GOPtVtuucVVjv4PUYSKtUIEQj7PW2+91UVV9dG27r//frfkst8/218lEJJAKN89PpMFQohNf/KTn7iqed8Jv2VEYAqjACXV/Q9/+MNYlOLnPOc5Y9GLw7REKPJLrh100EEuqnO4vxbeSyBUC1dBZRCB6hLI1x+QQKi610VnrxECWmqsRi6EiiECIlA2AnSAUo2pxPzZ3p6a3vri/YMdtmPvQTY80pR4Dm0UAREoPYFKCoRwehAxxM88KH1tzIV9VgShycn+27/9m73jHe9wCVnO6XOf+5xdc801zjFFiPx8gyk+ZwmEPInSvc7mJcY8pZ/+9KfGIB5GpKA77rjDRRTjMyK1Rz7ykYaDFCEh0YTiyzKQTiYCIiACIiACIlBZAogdWBaMpXyJcDAdK0d/IEkgRBlZSpdlXJJMAqEkKrNvW6UFQhAMI63Sx3r9618/+8DmqZEEQhII5bk1bKYKhIgajWiHZTaJBPTGN77RiLyEfeQjHxnzqeSrtwRC+chMb7uWGJsePx0tAlMhkK8/IIHQVGjqmFlHgKXGFkRLjY1oqbFZd21VIREQgckJ5BMPFSMcYnmx7dHyYjIREIHKEaikQIi11hsaGmpOIHTDDTcY0W6IbHLfffe5maWs+/6qV70q75rvRMRhwIEw8xiDHevXr3fvyespT3mKe+//Yamzz3zmM/ab3/zGHnzwQevv73cRfBBEnHXWWc5x3Nra6pOPe2V5ro9//ONu2yWXXGIvfelLx+2fygfqt2HDBuOa7Ny500VtedOb3uSyQqhC9JYko75/93d/Z5s3b7aenh6XhCWg2tvb7QlPeIJ99atfddtOOOEEJ/ggbwzR1pIlS5zw46abbnLb4v9ceeWV9oMf/MAJlVh+iiUAHv/4xztn4jHHHBNPfsBnysT5CeN9/fXXu4GsRz/60XbyySfbG97wBlu5cuXYMQ888IA99alPHVcPZgN2dHQYZSe6TZIxKAYfyoqgCqOMRFB67WtfOzbzL+lYtnHe97///Xbttde698xiPv/88931v/zyy+11r3udO/S9732vS5cvn6TtnZ2d1tfX5xgPDAzYn/70J/vYxz5mN954o4vadfzxx7t7h5mLcXvXu95lP/vZz9xmWL3mNa+JJ3GfyZ/rjIgHVswk9LMdEw+IbWTGEeW4+eab3R6u93Of+1z3nsGTiy++2L3H8fof//EfsaNHP/IMsYQD/Jm1edxxx7lr8PKXv9wJjBIPijYiTPzmN7/p7jFmdxO6nXuSZ/Cxj32si3bF0mdJxv2IKA7jelM2RHYsX8J9x3U844wz3HND/ULjnvn2t79tCPEQPfFdgJOZ5+b000939T/iiCPCQ/ReBERABERABGqKAL/fGO142rDTsXL0B0KBEG0oBm0RM2G//e1v7UlPetIBRQ4FQm95y1vsE5/4xLg05513nvuNZyPtSto9cWNpng9+8INuM+3AuBCEtiZtP+yqq65y+SAYoS3MoDPtVERMtP/8sqvsoz109dVXu3YOET8ZlP7ABz6QN1LFW9/6VteX4Tz0T2hb0k6hzYQAmwg4tDlog9JenMgYBA/buvh5fFuX/kG+dt8Pf/hDe9/73ueyfvWrX+2WLOYzy+ns27fPRdGhXNR1sogb8fIxIEUbH6E5/RfYITSnzfXOd77TRUONH8OgPOcigg91wmjzpVIpoy0Mi0KtmAhC5PnZz37WiQh4H2/T+nKxj8itH/rQh3h7gDFhg3uFJYzonxK9i74K/c2nPe1p7lg/KSZ+MMsh0ealT0RfbN68ea7uj3rUo+yiiy5y3OLHxD/TP6YetNlhSF+P89Nm5XnjmYr3XWmTb9myxZ2T/Fjue/Hixe6eoyz5jHYy9wlte6IBn3jiie6e45nKV8c777xzbAnBU045xT2/9M9//OMfuzLQNqePzT2LSCw07odvfetb9t3vfte1zWHk2+Znnnmmuz/oGxRrXJdf/Wq/QIiyc33pk+3atctFUsVH8P/+3/9z/dQwf67Z29/+dreJ5/2//uu/wt3j3v/TP/3TWF+KesT7HuMST/Kh2CXGent7nV+C+5hnkd8Gng+44bNgeay40Vfi+5R7g+8CjO8Avovo43MdQiNP+ohs5/sQdkxe4t7nXCzjhy8jyTiX/34hb9/nTEpb6LZw2XR+N175yle6e5vfQsrDvZjP+H7/4x//OBatGT4+ihn3yrp169xz9sUvftHuuusulw2/BX4ZQ773k5bK7O7uHvudwK9AvnxPc8/TJ+a3eiKDMfcO15FnE/8U/WDq87KXveyA30yi/OKrIB3GtfOc6Zfz3ZJkf/7zn13EJJ5t/EhHHXWUK+eLXvQi9z7pGL+Nvju8f/GLXzh/Br89fDfgC4MJn/ltWLBggftN8MfpVQREoHwE8vUHJBAqH3PlPMMIaKmxGXbBVFwREIGyE2htbrX5rfMnPc9QptV271tq/ekDHW+THqwEIiACUyZQKYEQzmWigpQzehAQil1iDEccIgrf0YmDxAH6/e9/f8xp7/cjpkHwk2QMFjzvec8b24XDEyeGd4iN7Qje4PzHCYaYJW6lFgjh8EUEg/kw1zihcVZxfXAuMSiRZLfddptzbibtO/fcc+2yyy5zu3BEewFRmJZBoaSBJQZCcKDj5Ikbx+DA4lrkM5xbLBeGAzHJcGDjZMehh+GAwwGWZAg9cOTFjbwRiSCKSTJEQohsEJ0kGc5hjmdQI27MymfQAiEKNh2BEHVlsORf//Vf46dxn5MGwRg886K2xz3ucW4AK+lgnoXnP//5bhezo7kuxdovf/lLu+CCC9xhOAlZ9mH79u3OKcngBwMQDISsWLFiXNY8oww04ShNsoULF7rQ7zhG47Znzx4nCPOirvh+PuNkfM973mPvfve7D9gd3vcM5nG9kpzBDAQgAuL+x+6991574hOfaCxpMZHBAweoFxlOlFb7REAEREAERKAaBPysYQbXk9prhZSpXP2BUCDEYCWCng9/+MOuSAhymQQQF8ZMJhBisNSLe2jDJw180371oqCkthsiFt+2o53KoHeSIb5G2EA7xC+1Gk83f/58l+acc86J73IiZyYoYAi9yWvr1q0HpEP0wKA0TJIMoQQTAfL1A2gjs8wOoo+4ffnLXzaEQRjpaDsltXnztbPj+fnP9O0QF+Qb6KefwAA+A86hIbh4xjOeEW4ae09/gPIWavQZ/OA9g9x+8D7f8YhzEAZgDGYzwcNbWC4G4pOuN8dTxomiddGvfvOb3+zarTDASI/gwy+F5M8ZviIcQEDwn//5n2NRPMP99AXZj9BsIkMcQLQg3y8gLW14JinEjWcnqR9Meakn9U0yxBP0G5LEIAhHvDCG60M/wV+jMC/6E1wz//zyPPIMISSZyLh3PvWpT7n+yUTpwn2hQIhnme8YBDVxO/vss12f0fcX2I/gg7LSF0LERt8oKaJv2GfnGmyMJkvwvTpVK0YgBHPqSBmSjGUdub8RcYSGwCxfHwffB+JJb/Civ4wYJZ8hoMFvEBd1kr4cAiG+n/lOhDN9OiYdhcuUI7DxvpV4mRFO4QNIMgRW/EbQ9/S/V/F0X/nKVwxxTmj0k+k7cnySITykj87zmGQ8i3w/8VuZz+i/8j3C7w7GdzA+rSRj4g19+rjhK8PvkNReQHCLMJDfmyTjOaAeiFyTzH8n89xLIJRESNtEoHwEkvoDEgiVj7dynoEEVizaYtmGLZbOjs5QmIFVUJFFQAREoGQEChUIET1ox56VUSy2hpKdWxmJgAhMTqBSAiEcXfz5zsTkJZtaimIEQuFsMM6GswkHJIP6oXMTxz/iktCYlfv1yHHqnf6IC7zjKx5BiCgjRGRBpICjBqcZgxScB4elFychErr99tsPGMAotUCIgQNfHxw/OF8whBVeGEO9kmaCUd54BCHKjWOa2Zs4sTDqyIxloqVgfgYp6YhoE1q4tBbbYYNYBicvziEMZzYOR5ySccNZhbgldD4xqMP9hgPNzyCnDAwQIeLwEYTCmYw+EhJl59qGRh7MmPXXm30+2gxOT2/cPwyIICAJjYg7OAB9Wu6Xo48+2jndmPUXF1MlDTKF+SW9hxsRfkJjG+VkKa+QD9eZARpv7MPJ7B2+cPP182l4xVnOdcBw3OI8nIoxM9bPJP6f//kf5zjFCY+97W1vc6K9eL5x5ynOQK4ZQh34YlxzojvFHdM4zxE0eXEX7DmW+5N7IuTGwBkz3EMLBUJ+O0IsrinscNAyoPLrX//anvzkJ7skRChiJjXPgTeuB8cwAIcDm2MwZi0jXmJmtkwEREAEREAEapEAv3e0b/jN9b+7xZazXP2BuECIdiG/wbR/sKS2fKUFQp4VQnKED7QJaSt4Q/Dh2730F2gv0D6kv+CNthptjng0ozCCkE/LYDZ50NYJz8MkBiYzxI1rSjsWobM3+ja0VbxQiu1E+ETcHRclhAIhfzwCCPoTCIVoWyLmRuiTT6Dkj/OvnJv+CVEovCGaQIgQDo5zXxFp57TTTvPJXGSMeAQhhD3098odQWg6AiFE+/R3wnY7S+4iHqE9G17Lpz/96U5o4q8FnBETEGkJo74I2xGf0Mfs6uoa48P976PHjm2M3hCdJYzi6e8j0nD+cKIHAjmi/HgrNoIQUUTpJ3vjuvJ8+HY127mH6BPSVg4tFAj57b5tTr+NY+hjX3rppU4QRBome1DGUByEcAhGPCf0C33bHOa0zX20F3+OiV5DgZBPx72JmIHnPRQLMekhPpkDsRWTMTAiZiHUihuiC3/dmBCST1gSPy7f50IFQvRdEGSF7Hy/JezrcJ/S1w8j93IMAhNEi9yLGMfyPUZ0J6KseqMv+pKXvGRs0hHfSXwPcd9zD4d9ZkQw9O9C41x8T2KliCDE96/3iYTiRiYFeR9K0u+LLxN1od/tI+9wP/sltMMIQvil/HdaGEGICHXhJCmeccqDzwvDR8L9i+gnFIUS4YvvkrjxvcJ1RNTjjetAHtyj4XcEEcSIOIYh5KPvz3cAxnPjn42kCEJhFDXSe/8OdfQR3fhugYHvO5POG9Gz8YF5437hXuC3KPTHsF8CIU9JryJQGQJJ/QEJhCrDXmeZIQQkEJohF0rFFAERqAiBQgRC2VzKunoXWnffwoqUSScRARHYT6BSAiEcdgwq4HTzTsz9pSjdu0IFQjg3cTR4JyuOHcKS47zAaYFohVmZGOXFyRifLYqDxs/sYx/imXyGswvHD+KccNbtFVdc4WbJ+XIQzQiBRGilFAjh/MdhByccOzj7GJDAmEnql5ZCjOGXTAjL4t8zs8/POqMORM+JG0IpBiww2Pqw6WE6WDNI4oUpOKVhgGMM0Qaz2/ws2KTINjh+cXL5WcU4jnCK4+TCcPayfBYRhnAQIzwKLZz9x8ACMzqTjCXHcPBhOD45h4/2FL+GRIIKZ9NyzNcjwZFfGg6nJWXBWYzhLMa5S729U3q6AiH4wRyePHfcqyxz4WeEM3M2PgswvM8QwBH+PjQchjjume3Ls4ODcLLw5eHx4XsiTfnlPhgkwmHPM8nzh+MvHoWJ54N0XshD3Sgf50d4R4QurjHGYAmio7jBFmEc9xFiNm/kTah+rgmGEAwHdGhxgRDpGVjxyx5wnyFMCh24zIp84Qtf6LJBsIR4jrz99x8zgxlA+vznP+/KG1/+IDy/3ouACIiACIhAtQn4NjwDA36Ar9gylas/EBcIIWgmihBtNcpLe4H2Wvj7X2mBEIOYLCND25Py0CYnAguRRrzRRqDdSl/ARzxBpIDwwPcVaMvQbwktLhCiPUvbkzYn1422BhE3sHz9GiLZ+EgViDEYAEfQjREBg8Fw2lwYy4nFl6wNBUKcgyW8KJfvZyDI5niWOivU6AP45XWYZICYBPEX+dOHob39+9//3mUXj0Tiz0H7CkETRvQPP6jt9xfy6qNVkJb+XrxPGM9jOgIh6uv7PrTj6Y+GZabPwz2AQJ66J0UJQXABLy9goHxMfmGw30csQhRA254+gzeENfRtEWHwrBL5iHvPR7rhnqUNT7+FZ8kvge2P55V72vf52O/7gmEa3odta+4RyoVYBaMvwHl9tE7yiJ8rLhAighR9T9+HoG/Js0Of1VvYH+N+oe9LVC3uJ4xj6PPxnDIhggkFxVhcIEQ/AKEEzz7siKbiJ+nAmb6Uf845TxjRFUGN75uEZaDc1Asr5F4Mj016X6hAiH4XfVWMfiDCDvo1GEJM6k59sPiyem5j9A886B9hRIZJEoa4ndE/fJ/gIyBCsTdEMIimiJCG4dNA1BVaqQVC9Mm9T4T7wvtKEHPSL6ZM3HOIcxCDJRl9VO9j8NGb4+m4P5hAhPH9G4p9wrR8r74vEpdhCIW4T73fA/8Egik/0Y3ITNwvobF0HZHLMHwEiPzwUXBufitgi7AS8RnfP6Ex0cb7fPiN9b6gMA3vYbM2mkBG/xjj+aXvzncNfg/uA39sUuRqWOBv8b83LBn6jne8w+XFP/gwiFbnhasSCI2h0RsRqAiBpP6ABEIVQa+TzAQCjQ3DtnzhVss0bFUEoZlwwVRGERCBshMoRCA0kG63nV0HWTa33zlR9oLpBCIgAo5ApQRCOClxhvvORLnwFyoQYsaZD0XPbDAcN5QvNBxAOA4xxBM4PEMrRiAUHhd/HwppcNKFs+hIGwo3cNR6oUk8n0I+40TCoYPhnAlDusMOhxTOYZw6zCKLM/HnKJVAKBxMOPPMM8dEHv48OLhwevklmuIinnDgALEGs9JCAZbPB2FJfLY1+woVCDED289WQ3yCCCW08H7CmewHInwaZtfiVMSSQoWzPXT4TVcglCTwgSHXlWeQ64rzzjsiOT/OXe/oZTAFx3to3Ht+JutkArLwuHzvmeWNqCY0BsU+9KEPhZvcexyh8MEYDEKEFRr3LuIvZqVSNwahEIsVajgwcTLDxjsvGRjxFg5iwIaZsfmeDX9MeM2TBtJ8unJ/J/rz6FUEREAEREAEpkMAUTa/fbz6Achi8ytXfyBJIETZwkFt2nK0z/zve6UFQoi0GQyNG/0QHyGH8tKGi1so4k9aHosBWPoTGO0flhOGdWi0XX/xi1+4TXGREdeUwWYfPSgpmmI4sIw4n3OEFrbp6UP5dm+Yptj3iMn98sUweNWrXjUuC9r3RLxELITRXiPCUWgzTSBEexShCqIVxPP+fg3rxPuptB8R9q2N+gKI1DEEOH7CAp95PuCFJU0mcDv+9o//Pgi38b5QgVAoTCGSjhc9+Py4lpSFejKBAOGHX+6INKFAiOWdfGRSf3zSK/ePj3aLmCIUD4Xpp8KW40OBEEI2nqOwvwAzvof8pCKEDuGSgYgZEfVx/emP8OoFT+SPIMJHeGXZKx8ZlX1TtfA6EL2IvnHc4EE/2ws2EKkRnSc07iXEVhiiJ9KG4jO2FyMQIn2SIcjhGfGTRnj2/YQN0pdSIMT1gjfCJ+qCaCc8FxOZvC8FwYv3scTLXSqBEN8H3B+w5fuB/mj8OiBmwo+AxUU8+HjoL/toRvHfAV/ufH6TQgVCYXRoog3Hl4ujHvzeeHEXAtRQOMrEPP+9xPc53wVxQzBLdGjuTQmE4nT0WQTKS8D//vPq+wMSCJWXuXKfQQQWdu62+R1d1pvdLYHQDLpuKqoIiED5CBQiEGJ5se17VpWvEMpZBEQgL4FKCYSY3eg7EnkLU4IdhQqEcK4TuhtjNiEOnrjhdCHaCJY0u6lUAiEGBfxyT0QaYcmp0EopEApnpSY5/3Fm+nDUhMP25QrLw/tSCYRCRyGzgv0s4fB8oXAG53EYjv3CCy90kZlI/4EPfGDcLOwwj3zvCxEIEd0GBxSGUy4Mo+7zxTmFA5d7AsN5Gc4IZfajd44R0vuoo47yh469hs606QiEcBjiOAyd6P4kzPZlNiHGIJBfFs/v537nvscIqR5GXArrEN/njy/mlfuLZSO8UV4c3yw/ETeci36GOM5JnOJxYyYhg1MYrzzjxRgDJt5himPSz8Ykj1AgxAxQhGqTGUumMVMYY+AS4V++QZ7J8tJ+ERABERABEagFAn7gnAG+qVi5+gP5BEKIoREZ8LuOEYWAaARYpQVC9FGSROxEW/GTEGg7xKM2UNawHYLA2guK2IeFAqF8UVtCMXs8IgtCBAbdMaJ2MEkgbogXiHpCGxdjEDmMXhMKhEqx9BHno23IeYgwQ3scoUjc4OWXxCJSEtEvQptpAiEGyol2heVbZiqsX7HviUzjo4gyceSCCy4YywKhPdeY55z2OOXwoo+xRJO8KVQgRJ8KMQcWF3n4U4TLX8f7paFAKF+0HZ+PfyUCDiI8jD4g0YJK2TYPBUKI8fgcNyZD+O+gpOsb9vvjojiisPBsYVPp68TLwudCBEJEVvV9V5Zo833FeH5hPxPBFsKt0MJ+/2QRhMLj4u8pg48eHI+SU0qBUOijSVqyizr4ZamJ1uUjf8XLWyqBEFHx/DLaSb8DnDcUzvAs+8hz7GMilZ9AwzJnfM+Hk4VIM5EVKhAKl8ojEh3L08eNyHl+UhCvPBfeeHb8ZCwmJ3mfnd/vXxFt8TshgZAnolcRqByBeH9AAqHKsdeZapwAy4t1tPVad7pbAqEav1YqngiIQGUITCYQGsq22J59S6xvcG5lCqSziIAIjCNQSYGQ70SMK0CJPxQqEAoFBzi5cDTFjVmWPiw+AhEfJtmnK1YgRP2ZeYbjCmcNs7gIs4xjC3EIluR0Cx2F04kghGiECEEsEYXDiNmj8VDY4VJaRCrifElWKoEQYar97EeWbUoShyAaQcyEIeRC0OWNWZderJFPeOPTJr0WIhDCwemXWGCZq9CRHuaJA8zPhIuXBYGZF34lCXPIp1QCIe5ZP5MnLB/vCTvuI1TFozGxn5mELIOHsXyAd0Jz7+NIxAnHNfMDFy7hNP4JZ81PFJWI2Zs+jDizf5OcmUQNYvAACwcA3YbgH55boikxGMazwOAhzwLiM54RjLzCAZFwYK5QgVA4cEGezDjle4d8cc4yMxIRkl/WgDQyERABERABEahlAr4tTzsD4X+xhqDE51HssROlzycQ4hgi99B24bwMKNKuQzRSKwIhxAJ+cDSfQIgIFgh3sKQld0OBUL6JD0RtZFAZiy9zQ1/EL7+GYDpJ2MBxDIDTfsKIPOkHm/lcaoFQKFqizeSXm+JcoYVLo7Ecl4+k5NPMNIEQEyGY9OCN6J4I42HNH+1IL+byaZJe6WMyqYG+J21d+rWIrLjHEPpjSVF0EHX46FC0URHpEB3Vn5/yhJMg4ucuRCBE+5sIVzyTvPoIpfG8uGd9VFYiWPnlnkkXtrMLFQiFAgvyoH8fb5sT2WSqbfNQIMQyYL7/yLm8IXbwkxgQSYTXmjT0QXwULMrmJ5iwj+tAnwRmPB9Jk0FIV4wVIhAieq4XecT74uG5wskaSdGIihUIIUb097Dvs9EnRSjl+9yIePz3GmUppUCIJRf9knxJPhiWwsK3gl+HvinXBB9L3EolECIirY/wxHN4ZhR9Ocnw57BMIIbozy8RGEaSnkh4k5Qn2woVCIV+D3wPCHjidt9997ll5tgeLwuRgvELYfglPvOZz7j38X8kEIoT0WcRqBwB35b3/QEJhCrHXmeqcQISCNX4BVLxREAEKk5gMoFQ/2CH7dgbLesx0ljxsumEIiACZvUqEGL2FU5CjNlT3ukevydYlopZ0jji4rOlCxUIIapAePHZz352TOQQP4//XE6B0Je+9CUj4g6Gw8uHWPfn5hUn0vLly50TGWcSwgnqHrdSCYQQneC4LtSYVUsYam9h1Bcc4UnLiPm0Sa+FCIR+8IMf2POe97ykw/Nui4cZDx1l1RQITbbsFQI7Bh1weIZLpTEj+6KLLnL1TZrtmhfEJDtwCHoRWr4BLZ4fRE8I6go1rtf3vve9cckRNTEId+mll046qFkKgRAnDwdJxhXmbx/43uGZfNOb3nSAWC8pvbaJgAiIgAiIQDUJxAcEii1LNQRClJGIfggjMAQjiIRomyMowdj/iU98wr33/4Ti5HhkSJ/m4osvtte//vXuY1L0x3CJ2nwRhColEJpI7Ix4nIHcYuyXv/ylPfWpTx07pNQCIZZh8tEcJ1pOCZELAjEsafm1mSYQYrANoYmPnDkGOHiDMIAJJER+jRvCLSJy/PjHP5607ZwkECLaFvnHJ8b48xBxh3Y2kwgQ08QtbPvmi2aFQCnp2Hhe4ef48zUVgRD5hc9bmL9/z3NPf+mNb3zjAUtk+TT5XgsRCIUiD87Dd0jcfETXpqYm109GyBQu4YWox0/4iB9b7OdCBELf/va33fJg5E2fBXFlkjFBwy+RmLSkdqECIQRqTFRB0MJvzkRWLoEQz+GKFStcxDTEPzwPSUKXcNk6riXXNG6lEgiFz1b8HPk+I7CjT4/xG+ij2/IccL2KsUIFQviS/LKPheQfn3wjgVAh1JRGBKpLIN4fkECoutdDZ68hAhII1dDFUFFEQARqgsBkAqG+gWh5sb1aXqwmLpYKUZcE6lUgxIw+BgewfIIN9iGOYdYlAxp+rXu2Y4UKhAh17yMEjR5pTgxAmHxmYHKOu+++2+0qp0Do5JNPNmYzYsw4DJcFcBv/9g+zS70YA+cjjsO4lUogFA6+xM+R9BknPw5hbwwcMICAEf0lKQKRT5v0WohACLEP9S3GWMYhHGipFYHQa17zGiNcPcbAgR9QCevGDFFmimJ+qS0f6Yl7htmRfiZieNxU3hciECJCAeflOSzUGLBi4MobzmOWSGP2qbeGhga3VAWiMpaH43vAn6NUAiHORTkQBxKxKZ+Tm4EWnrWpzlj2ddKrCIiACIiACJSTgB8QiIvmCz0nv+c+j0KPKSTdRBGEOJ7BXgZJfeQUBkcRH9eTQIiBYtrRGBE4/TJTfKZNSFShYgwhdiigL7VAKBSR0IfxS+TGy0hUI79EMYP1vp3r01VDIITonUisWDw6RhjF42Uve9lYhBJfXl65X5nYwZ/v54T7eU87lv6Gj7TBNpjBKlxWiO30OXn2WOKOdnxXVxebEyMIsZ0ld1m2jUgk9HeTDNEK4vu40CcUMeQTCBEVhqisxRhLyXmRH8dNVSDEsVwDBIK0zfNFQqMf981vftNx5phCrBCBEJF1WIIJQ1xIOeJGvwGBEvbFL37R6L8hkPrgBz/otl122WWuX+M+TPOfQgRC9FF8v3aiiC4s38YybljShJJCBEIsHcaEICb+hIbPhHuYPhv3p99fLoEQ32/eB4JQi/s9yfgtZIIVhn/J+1rCtKUSCPFMJi1BGZ4r/p5nlH48FgpaiZwbLtsePy7pc6ECoTVr1rhovUl5JG0japn3y7FfAqEkStomArVFwLflfX9AAqHauj4qTZUINDaYLV+4xdq1xFiVroBOKwIiUIsEJhIIDWXabPe+pdafbq/FoqtMIlAXBOpVIMQ68jjXMJYeQMARNxxPPoQ6UVV8KGufrhCBEDPgcHpgLOf1/ve/3zmbDj744DExAI4knLlYuQRC4Sxcd6IC/4HTb3/72wNSl0ogFC71xszIuJP5gBNHG3DSeSvEEevTJr0WIhBiubBjjjnGHX7++ec7p3JSXuE2hB447r3VikCIgRwiImE4+ZiRHTeWSnvmM5/pNhP2nlDya9eudQ50BiGYRVoqK0QgxLlYWgKxElyZgT+ZQAn2odiGZRE2bNjgis1saxzsbAujY3Hv+YHDUgqEPCsGe6gDzyJiJJ4rlk7wRmQsHOIyERABERABEahVAn5AgN+0fAPrE5W9WgIhysRAKUubUm7EQQx4M4iNTTWCUBhhMR7hhHxrKYIQy7CyXBTGQD3iB28st0zUEuzpT3+6E474ffle423dUguEmLDgB+XXr1/v2k5JZQkjpBJVB4FKaNUQCNHO5H7A4sveFiIQCstPu5c+EkvyEB0IQRRLzmEsZ8R+3+cIRf7HH3+8i4rFq+/PckzYd0qKIEQabzwriDFoQ7PUL4P4iMn8pJmkfkEhAiG+R3gG/RJNLP07mcXb9tMRCPlzMbBJ25z2P3+0zekfecvXV/L7468h23xLjIX3a7icc5gX19RHdCWaEwKTQw891D0Dq1evdtck7OeExxb7vhCBEEt9UzcMcRMCjiRD8MZScFjSRJRCBEJ+Ugp50C8iItFRRx01Lkpw2K8ul0CI/mKSD4RyTWRM+or7M0olEAqXeiNSEUKyySz0m+D7wreDcd0RfhVjhQqEwiXE6fcyIWwiiz/bEghNREv7RKA2CMT7AxII1cZ1USmqTKCtadiWLNhqra191p3utnQ2XeUS6fQiIAIiUH0CEwmE+gY7bceeVTZS/WKqBCJQtwTqVSDE7CtmYWGEySZcdtyYVcgMWyw+05ZthQiEmBXITDssafCB7ZUQCL3nPe9x4eY5H7NICQ8/kTGzlKWdcCrhtD3ooIPGJS+VQIilAPzgDDN+mflbjIXXkUhNDNQUY4UIhFhWgohLGDNvN2/e7JzaxZwHYdFvfvMbdwiDMAjB4saMS2ZeYkmDTPH08c9cVxz2ONwZuEsyBEEI4jAEbzif40aUHbYz+/iII46wF73oRW4ZA9Ix29w/E/HjpvK5UIEQEYF+/etfu1P84he/GHNSF3JO7mUGUBjkwKmOOCfp/i+3QCiprGH9cYD765+UVttEQAREQAREoNoE4gMCxZanmgIhykpUjqRB1aQ2Om01ollgiAce+chHuvfhP29/+9vHBClJbbdaEgghCEL0jdEvQATuLezTIMqh7c+yOsVYqQVCnJuyIBSiP0L7myV/4kakHiL2YLz6OroN0T+VFgjR3uScTDDAEN4j3PFWrEDIH+dfaesjcicKD+ajffLeL+3DpBR4eYEV+7yFIpbJBEL+mPD12muvHZtYw8A/wqXQChEIkd4LXnifJKpg+0RWCoFQUv4veclLXOQk9rHsoF+SKSltfFvINp9AiKXZPvrRj7pDEWj4KDXxvLzYCyEQ94wX6MQFZ/Hjiv1ciEAIcZgXefBKX8qL0sLzPfaxj3ViNrYhamOCR2iTCYQQjDEJhIiuLOfFPR6K23xe5RYIEWWLyVzeF5K0tJgvC6/pdHosotG73vWuMZ+LT1MqgdDtt9/uxFLkSx+dz8VYeB3hCt/J6hbmX6hAKPxO/trXvmYIx4oxhFl++US+z/lejxu+DqIA831LHfJFOosfp88iIAKlIRDvD0ggVBquymWGE3jkgj5LzdllQw1pCYRm+LVU8UVABEpHIJ9AKJNN2d7exdbTPzroWrozKicREIFiCNSrQCicCYfznkg/OBm84Wy44IILjHQYjjwGAUJDeOCXtGLQwEcfCdMQutk74L/yla/YK17xinC3e09EFx+iPymCUBiueypOFuqCM8/PNmWww0fEOaAwf9sQCheSwsOXSiCE2IOZyhiOOJyJCF3ihhM4SVQTOqqIBoMzllmGoSF4wZGJMz1uYUSdyy+/3IholGTMuGbmNcas4He/+93uffjP9u3b3bIZSaKbUMiUNIDENSKKFE53LClNeK6k914ghCMZEdCJJ544LhmDPUQCojNPWoRPSc5dDrrooovGxFYMMuCwJVw4jsVSzVjlPOF9hvMvPqhDGgzxGOH1Me5dZjBTrtBgGEZ78vsYuPCDeqeddpox0zRuOHYZRIEJVooIQnw/MKhA1DCESUnGd4MP746YkKUGZCIgAiIgAiJQqwTiAwLFlrPaAiHEFbQT77///nFFTxIIIZBmCSfsM5/5zJjg3x/IACUiBx9hNKntVg2BEOJ7xDpxo1/jl19FLMRgfWi0kXxkw6R+D2kZOKftmCTUKYdAiGglLMmEJQkjGOCmfc91pX1KO5X2amiVFAjxfHAfEBkGo5+IUIf73ttkAiH6Mj/60Y+c8Ky5udkfNu41FK/RvqediZiB89DvQShEvyTJuP+9sCBJIMTEGSaG+L5pPA/uAd/XOfLII+22224blySc8MD7t73tbeP2+w88c37JMCKXEhkpbghFuKZxoQnppiIQQkTAeT/0oQ+N1SF+Tq6fX8rLL+8VT5PvcygQShIX0VdheWzvM6A/4yMNx/MMI7r6vhhppiKmiucdfi5EIER6onj5782k+yYUdXB/cN/H+5nhdyoTP7wIxJcnFCoiNqI/Fjfuc/qz5I/FIwjxfez7XSwrydKKxdonP/lJe+tb3+oOQ+xyySWXTJhF2P9k6Tzu2bDupRIIUXd+U/BrYPElzX0h2U+/NiniLpHimKyE5VvijvrwPRHWgfQs83jKKafw1vlv/JLkbkPwT3jvcq24jqGfzSfN59+Bnxek8V1EXz6M+svxRDT2v2ESCHmiehWByhGI9wckEKoce52phgkcu3Sf5Vp3W9/wkARCNXydVDQREIHKEsBR097cbu2p/U4RStA/2GE7uw6y3HBTZQuks4mACIwjUK8CITo0RAzxsx7PPPNMN5CPkw6RCtGF/FJKOCRwQLPmfWg4+YjWgiOWV5w/OGRxyHgnCM7OZz/72e4wBCA4w8KZWji1cMz5wYUkgRAORu9cZTkE1oxnVi+CmkKMpYuoH0adcSxOZmEIahxEfhasP65UAiHyI/Q9DiKM2XDM7D7ppJMMpzhiJmai4mjCmcusvLiF0WVgy/FPfvKTXZQYnOw4enFM4WyPOyJDIQzLErz61a92Dqh4xCTEQX5ZBpxlXA/EXghPCAOP0AnRENcFBynOu9DCwQCi13zhC19wIdq5b7gHEZ+FjvGkQaYwv6T3XiDEPmYFMjv8Oc95jq1atcoNBDB7z19HZtD7CFpJeYVL4/n9STMi/b6pvhYqEOIZgzWDIBiRkHgueF54DhFWIbbhXseZz+CYN/bjIGXJQBzsXMtwaTUGUIg+hbPb23QFQoiDzjvvPLv++utd9CKiiDH4wUAi9w/14H5EPIQ4CaMOcVGXL49eRUAEREAERKAWCMQHBIotU7UFQpSX9jqCcNoH3pIEQrQnWMYFo72GmAHBCm09Blg5ht95b0ltt2oIhCjPM57xDCeooQ3PoDvtTi9aIRomy0b5voovP0L5c889132krULblLYjwgDaurRlaevSL6KtG19GpxwCoXBAmoLRtqUvhEAJMRPteC9aIOIK/YW4lVogxDniIqQdO3Y4oQz9ASYveLv44ovH7iG/LewTwJfJH97ot7AEEIJ1xDf0N1hyCdEB7Vj6qIjVvGiK/srWrVv94eOiJdGPZQkwbz09Pe76hRG04kKPsM8JT9rHiCzoA3MPUDf6ob4/QTveR4L152GJKR8xBFEazw3tb+oQGszWrVs3FvX0Wc96lru+9AVZ+ov2Ovcb15flqvzSSD6PYgVCPAdEQeU4ngH6QtTR38f09X/4wx+6/gT9Dixf1FdfhvhrKBDiGSIyLiIMREHkDzvvX2DCg49QFs+Hz5TBR3T1+/El8EyU0goVCNFvZMILxvc49xF9cOzSSy919eQexT7ykY+47x/3IfgnFIWRF2z4bvWCM5Li3/DiIvwm9Om97dmzx9785jePRXhie1wgRL+K7yjf/yMiNNcbH00o1PN5Jr1yz3vhGxGAwzIkpWdb+F3Pb4z3vbCvVAIh8vr6179uiJYwniu+14mIDDe+C+hfcp+tjYQ5lD3u0+BahfXhWeU68NwhzOH7CIHUc5/7XHeuMJIcwjb/vJA/glOY4msI08Ge+9sz5HeI7y36uUSD474nci4CoyQxKu0M+v2UB+M+4/eYOvLdSB25f/hOwyQQchj0jwhUlEC8PyCBUEXx62S1SkACoVq9MiqXCIhAtQkkRRHqG+i07XtXVbtoOr8I1D2BehUIceF///vfO2djNpsduw9w5oUDBuxIcu76A0Jxi9/2ve99b2zWJY4sZsD5WZwIFXDAeGEIDvrQkgRCLOuE2CA0nDLeaRJuT3ofijBwtPpZkUlp/TaY4FDCGYzFow6VUiDEdcChGi6LhbiUTmdoXBucfF6o4/ch5sAJx5JY3pKuI+yZUbd06VKfzIjqFF/W7IwzznBO6bFEf3uD2AYHdWhJ5eSeYEYo+0ILw6GzHaceYiHvTA3TJg0yhfuT3ocCoXB/nAUOPERJfnZlmDZ8H4aJZ/s999zjBC5hmum+D+9NHJ75IghxHiJtMSgUPq9J/OHK/Ur5vYVL2XEMs81xZuJIpV5epOPTT1cghFCJQRHvuPT5JpWXffnCp/vj9CoCIiACIiACtUAgPiBQbJlqQSBEmRH+MODoLUkgRPREoi34QU6fNt6u8tuT2m7hoDFtagaq48ZguhfAI6bwg/BhOqKAIqbAKFMoTGIb0S4Y1I1bUlkRVCO0SbKwfe/3J7VdEPITrZL8vZVDIETeiPfjEZHi9YIrbW8fdcKXiddSC4TCvCd6zz1GdEj4hTaRQIh7KKmflnQNyDMu8CHqKxMevDGYz33DMm1MECHSUmjh8UTrQUATCpx82qTzIxoiOgvt6dAQ1XCPhsbEBR+lM9yOOIAlt0JLOhdLBdNeD5+fYgVC9DcRzsX7XUnnozxJ4qewnEnvQ4FQuD9+v7IPMRJ9y4ksnMhCuqksxz1R/uwrVCBEX+nMqL+NiG0iw5dxxRVXJIpxvvGNbxhLuIUWFz2FkZPhRvQohCH4UrgHQn8B+cQFQmzjGJbeC43njr7ZZIb4zUda5n7jvPkieYV5hc9uPOpQKQVC9INPP/30sSXDfRmS7mO+z8MJMD4t4h9ENqEl3aPxKNKI1pgI193dHR7qBIOIgELDf0WUaL5XvCWVkfPSbyaCXWjf/e53xwkc2UdENoR+cZNAKE5En0Wg/ATi/QEJhMrPXGeocQJ0iY5dts+yLYogVOOXSsUTARGoAoG4QGgo02q79y2x/vSBy8hUoXg6pQjUNYF6Fghx4XHOMTvSC2HCm4HZZzh74kuLhWmYKYrzhZDP3kKBENtwSDIrkqgiccPhxCxmZnNhSQIhBEuIVnC2eVtboEAIJxqzbL1TlpDyCJQKsdAhz2CFDwPPseEAAuVidmvcwvDcSbPDwvQIOsgzLpjyaXA+M1ORKCxJxnFEaiLyTZIxYEAY7jByDOmYoQrzMKpSPoEQnWCWg2KmXlxE5s9JHb70pS8555nf5l8RdLHfz7r123lFvIQzEicnljTI5HZM8I8XCCEAIuoSDve4ExXHGg7BfEuphdmTh7/3CSful50I00z3fTECIc6Fg5VZkgx0JBkRenCex0VkDIhQZ7+EW/xYnNPcAwj6sOkKhMiDWd5EDkLUls8QM8GAZ6XQWa358tJ2ERABERABESg3gfiAQLHnqxWBECIB2sO+3ZkkEKJuGzZscO0OvyRTWF/EPwyY0+7Dktpu1RAIvelNb3J9j7iwiTIiWiGSQ74Bb64vkwmI7pCvrUufhjrHI6uWSyCEUItyE9kiqUy0/VgyDSF+klVaIIQgB5ED/agkm0ggRHr6kT5yTtLxbKNvh5AovnQ114/B/zAqaZgHkWzos/olikKBEOkQAHAfE3EqLnIP8yHiLuInhGJJRmSecPmhfAIhjv3Od77jIn/G+yw+X6KOcO3j/ddiBULkR/uetjn9iXxGPwquRFPCF1CMhQIhhHg8E34pLJ8PIgn6WH4JK7896RUhoI8uSllY3m3+/PlJSae8rVCBECcg6hNRqfL1bRCuIOyIi8Z84RCLIB674447/Ca3xHYYFYl78Pzzz897DvrL9AN99OUkgRCTSoj2Fn5fFCoQCqMc5VuucazwwRvq5O9R7neERb5vV0qBEKdErIX/Kow+FhTFiRKJDETUp3ikONLBhcjMRBriOyNuPANE2OJ3gPs1tDDKmN+ObyMuEGIfYkF8Hz4CsE/vX5ms9PnPf94J9/w2/0oZ+S7K53fxEaRJJ4GQp6ZXEagcgXh/QAKhyrHXmWqUQKpxxI5a0mMZCYRq9AqpWCIgAtUkEBcI9Q122o69K6OOyf4ZZ9Usn84tAvVMYLYJhHD4M9sOQ3SBE3wyQ7hDOHSchoQxJ8w1M89Y1zweDj0pL0QHOKKY0YST4sILLzzAYco+ZirjrMdRSNkQpvgQ0ThpMM6HsyZuCFkoIzM1cZQTBYdZXZMZdcKRgyEO+fSnPz3ZIWP7cerg/MVwROMk8sZ2HLMYQhSc83Fj+QG4YIh3fBjyeDr/mevA8gaIfHzeOI5Y7oAZn97J5tPHX3GWMVsNZyp5EMKacjFggLCIz0nGtSE8PjMNcZozmOOFMUnpcYIhluEcROJhdiEOQRxgXNOJDOc3kXKYfcm9xnVkxhwRZLi2iJgw6otzvRh7zWte4xyGiE5wSONEpl7MqKbucGDQIGl2ddJ5WP7K34tEWooPQiQdU+y2Sy65ZEz4Rv4IkSaznTt3Oqcx/GGGE5PnhqUHcMxT/yTj2SQCFMvnwZ7PLJsBZxzR73jHO5zjm2N5HkPnNo5NnJQY3w3h7Gy3cYJ/GFQkxDuDMdwvRA9j8Ig/notCvmMmyF67REAEREAERKBiBOIDAsWeuFwCIdrYvu3IwKmPADFR+RC4IyzBiNSZL5oHA9a0V2hPIfZmeamzzz7bRQsl2spEbTfaFj6KKG1nxNxxY5kWL+hgUDseNZT0TGTwyw0zSQDBemi0t2l3Y7SnEG4g/iBvBtIZvEUoTTupEKN95du6tJlo67LkFe3pfGz/GC0JRYQQjPMgJCql0S9BdIIAm7Y7YheidtJfoy2Yz2DF8k4Ykx3oDxVr9HVoV+cz+NCuI2IP90a+PgfHMynCL/NFH8AvxxXmzXPG8kr0aWg/0ndkiSSuPf0U7pOJxCtMTqHNS7sTUQb3LMssc48TGddPVqDPnNR3YWIJx8OaPOijkQfnpz8RX7I5LDvveWZ4tig//TPKGkbsiqcnQhYiCtr2CC14TlhiiPuI+5YoI3FD3Of7KfTDEHYUatSf54W68Uf5qBt9JNrm8SXkCs0XQYZnS5Qu+s98P1A3JiEgjqE/XEh/h3PyHYXoBuOaI74ptTGxwkcFwofhBUkTnedXv/qV8bxzf9Cfom/EBBsixkxm3EsIWxBfEg2HvrqPoBYeyyQsvr/4/iEd14cIQPTbEI2wHeM71i97FR7P9xffq5yPMiKczPfdFR6HD8B/Z7P0VjwaVpg2/p7lz/xkE+5HvjMx6vqxj33MvUdch+AxbvggfF+ZtIb6AABAAElEQVQbEdhES4H7YxFW4YfiuaGvil+B70S+e/l+nMzwEyGw4jnleeI7jO8XRGNhPzieD9ef5we/G2zpN+eLTMx3Nf4dvr/5jeZZJi2/c9wvE32PcV7Kx/k4nmOJEPy85z3PfQ8xyYbvStoVfK/JREAEKkcg3h+QQKhy7HWmGiWwfn6/rZk7aLut2/qGh6w73W3pbLpGS6tiiYAIiEBlCYQCoWyu2br7FlpX76LKFkJnEwERSCQw2wRCiZXURhEQgaIJ4LBlUALHHY5SRG0yERABERABERCB+iUQHxAolkS5BELFlkPpRUAERKDWCbAMNpM0MKINJ4kHa70OKp8IiIAIiMDsIxDvD0ggNPuusWpUJIFjl+6z5e1DtjXXI4FQkeyUXAREYPYTCAVCg0Pt9nDXikhEmTzDf/bTUA1FoLYISCBUW9dDpRGBWiAQhkJ/wQteMDY7vhbKpjKIgAiIgAiIgAhUh0B8QKDYUkggVCwxpRcBEahHAt3d3S7KKK8HH3ywEWUpvtxTPXJRnUVABERABKpPIN4fkECo+tdEJagyAQmEqnwBdHoREIGaJhAKhPpZXmzPKjtwpeOaroIKJwKzloAEQrP20qpiIjAlArt27XLLuvkQ+VdffbUL4z2lzHSQCIiACIiACIjArCEQHxAotmISCBVLTOlFQATqjQBLtLHcF0sbYiypxTJ3MhEQAREQARGoBQLx/oAEQrVwVVSGqhKIC4QyuYz1ZnqNV5kIiIAIzCYCqaaUtTe3F1ylzHDGciM5m9863x3TN9Bp2/euKvh4JRQBESgvAQmEystXuYvATCFw/fXX21lnnWUDAwNGhx+74IIL7Oc///lMqYLKKQIiIAIiIAIiUEYC8QGBYk8lgVCxxJReBESgnggsW7bMurq6LJMZHU9atWqV3XHHHTZ//qg/tZ5YqK4iIAIiIAK1SSDeH5BAqDavk0pVQQJxgRCn7k53R0vopCtYCp1KBERABMpLAHFQZ0unpRoLXx5seGTYcsM541hMAqHyXiPlLgLFEpBAqFhiSi8Cs5PAtddeOy5S0OGHH26/+93vbOXKlbOzwqqVCIiACIiACIhAUQTiAwJFHRwllkCoWGJKLwIiUE8EOjo6rL+/31UZUdDPfvYzN4GjnhioriIgAiIgArVNIN4fkECotq+XSlcBAhIIVQCyTiECIlB1Aq3NbVEkoHlTLkc2l7Ku3oXW3bdwynnoQBEQgdISkECotDyVmwjMVAJ/+ctf7MUvfrGtXr3aTj75ZLvooosMJ7VMBERABERABERABCAQHxAolooEQsUSU3oREIF6InDKKadYa2urnXDCCfaqV73K1q9fX0/VV11FQAREQARmAIF4f0ACoRlw0VTE8hKohEAol5tnjY1pa2hQVKLyXk3lLgIikI/AdAVCg+k5tqt7uQ1lW/OdQttFQAQqTEACoQoD1+lEQAREQAREQAREQAREYAYSiA8IFFsFCYSKJab0IiACIiACIiACIiACIlA7BOL9AQmEaufaqCRVIjCRQGgovcpyubmRuGfIUi3bo9fRUJGFFDWbXWTZ7EIbGU5Ff62ROChnLW0PWVPTvkIOr3iazNBBUXkPXBe3pWWbNTV3V7w8OqEIiEBpCUxXINQ/2Gk79h5kwyONpS2YchMBEZgyAQmEpoxOB4qACIiACIiACIiACIhA3RCIDwgUW3EJhIolpvQiIAIiIAIiIAIiIAIiUDsE4v0BCYRq59qoJFUiMJFAiMg/6YFHRKF4262xqScS+WQikdBgJBbaEb0O5C1xZmilZYaWR8fNsZGRprF0CG1a2x6IREI9Y9uKfTMU5T2ca3eCpaam3mIPz5t+cODQqMwrDtiPoKl1zsaozBIJHQBHG0RgBhGYrkCob6DTtu9dNYNqrKKKwOwnIIHQ7L/GqqEIiIAIiIAIiIAIiIAITJdAfECg2PwkECqWmNKLgAiIgAiIgAiIgAiIQO0QiPcHJBCqnWujklSJwEQCIYqUHlzrhDMjIylXwoaGbCQW6nVioaamPmtO7XKiIV/8bHaxDQ2uiSIPdY6mtxFLtW4ZEwXlch0umlBz6uFxx/nj873msgssm1kcRflZ7KISIVgaFe4UHpGIKEEjI80JZV4QlfkQVy/EUJwrNARRLa2bJhRFhen1XgREoPYISCBUe9dEJRKB6RKQQGi6BHW8CIiACIiACIiACIiACMx+AvEBgWJrLIFQscSUXgREQAREQAREQAREQARqh0C8PyCBUO1cG5WkSgQmEwgRBYgoQiwXZtYwrpQNDUORqKbPGoks1NxjqdTuSFB0sGWj6EHmhEFbI2FQb7REF9GH0u5YhEPZzLLR/S4S0eTLliEMGo0c1OlEOsPDLZHQp9WJjlrn3B+9TiwSIhISeVBe6kCdUi07o+NGowINpVc7EVRr24PWEEVGGopEUaP1dUV2Yqi2OX+NhEUPj27QvyIgAjOOgARCM+6SqcAiMCkBCYQmRaQEIiACIiACIiACIiACIlD3BOIDAsUCkUCoWGJKLwIiIAIiIAIiIAIiIAK1QyDeH5BAqHaujUpSBQLIfY5dts+WzRmyrbke6xtGQGPWne62dHZU0MNnRD0jw22RaGZBtLxX9D6KwjP6x/JhjdHfSCTcicRCjf2R+KYlEtLsceKdUWHQaJ7k440oPZmhZS6PVOt2a2rcv1RYNrMkEh0NRHn1ueSZSEyUSa+MytARRfHZ5kQ6LFs2FAmRcrn5ThzUOodly5JFQgh9WDqMshEJqKFhJDrORwlqiPLb6QRLRA1qadtozc17XH0zkWgom1kU1Wx0iTSWRRs9j5Ya89dRryIwkwhMRyCUybbYnp7F1jswbyZVWWUVgVlPQAKhWX+JVUEREAEREAEREAEREAERmDaB+IBAsRlKIFQsMaUXAREQAREQAREQAREQgdohEO8PSCBUO9dGJakCAaQ9xxQgEPJFG45EQiMjLZEeqBFJUPSKxGh8VCFrGI7EOixBdqAwyOfDK1F8EP+M5NqiJciINNTjhDyZoZVRlll3fEN0FsRJpG1p2Wqpti1RtCIfiWhuFNlo3ahIqLnLWiNxD3mExnJkmSiaEeVpJlrR344lTS43N4p0tMyGo0hEw5FgqLEx7QRCPg8vYvJpOEZLjUFBJgIzk8B0BEL9gx22s2uF5YabZ2blVWoRmKUEJBCapRdW1RIBERABERABERABERCBEhKIDwgUm7UEQsUSU3oREAEREAEREAEREAERqB0C8f6ABEK1c21UkioQaIqi6Ry9tGfSCELlKtrwcCTOiaIJEb0H45VIQftFRyPufUvLlnHiINJiiHyG0lEkoSyRhLojkdCDbskz9mUySyMB0FK3vBnLifklztjnDeERf0PpVVHkoO5IALQ1Spf1u8fEQyxBRtkaoqXU2ubcF0Ud2jWWRm9EQARmBoHpCIT6Bjttx56VkWQxJoicGVVXKUVg1hKotEAok8nMWpaqmAiIgAiIgAiIgAiIgAjMVgKpVCqaGNhoAwMD0cRHfI3FmRcIqT9QHDelFgEREAEREAEREAEREIFaIBDvD0ggVAtXRWWoGoFU47AdtaTHls7JTLjEWLkL6IQ+g2vcEmajS5btP2M+cZBPMTzc4ZYry2YWR2Kg7mgZss1/iw60JPq8LxL9IA6aOJoR50f809g46LMd90oUo/RgFK0oEglpqbFxaPRBBGYMgWkJhAY6bfveVTOmriqoCNQLgUoLhAYHk9sJ9cJb9RQBERABERABERABERCBmUigra2tJAIh9Qdm4tVXmUVABERABERABERABOqdQLw/IIFQvd8RdV7/1qZhOzISCC1pq65AiMuASGckiiiUjaIB5XLz3XuW9Eq17l9WLN/l8suEZYZWuOXPon+sKdVlqdTDk4qD8uUZ345IaCi9xnKZhdFyZbsiIdKmyLkwEE+mzyIgAjVKQAKhGr0wKpYITIOABELTgKdDRUAEREAEREAEREAERKBOCMQHBIqtto8gJIFQseSUXgREQAREQAREQAREQASqTyDeH5BAqPrXRCWoIoGO5pw9dnGvLaoBgZDHwLJjIyNt0V9zFK2nNxL4pP2uSV8RGaUH17rlxlpat7moQJMeVEQCohUNpVc4AVNrJBCyKOoQUYVGRlqiv0aXU0vL9ihyUVcRuSqpCIhAJQhMVSCUyaasq3ex7eufX4li6hwiIAJFEJBAqAhYSioCIiACIiACIiACIiACdUogPiBQLAYJhIolpvQiIAIiIAIiIAIiIAIiUDsE4v0BCYRq59qoJFUg0NwwYkcvZYmxoaouMVbKqo8uFzYURfcpXFhUzPmHh9uiJc0OsuHcnEgU1Gp8HhlpirJoGF2mrKnPvTZEUYwaojKkomhDjY19xZxCaUVABMpAYKoCoYF0u+3qWmGZXKoMpVKWIiAC0yEggdB06OlYERABERABERABERABEagPAvEBgWJrLYFQscSUXgREQAREQAREQAREQARqh0C8PyCBUO1cG5WkSgQWtGbssEV91te01/qGh1wputPdls5OT2ATyWUioQzZuX/GajcSCWdGRkbGPhfzpiHKkP/iRn78V4zF8yqmXIiC0oOPsGxmsTU1DkYioIejqEWRCKhh2BUhQ5ShaKm0hoZcJA7qN2sccuVraBiy5tQuFxmpmLJOlHY69Zgo33BfY8S9qaHJmqzRGhtGIyXlRoYtx3/R61SvZ3gO/76c9SHvpqj8vh7cSbno3hmO/suN5Gx4ivelL7t/5RzN8Ir+MPhkHavSnSOZkzubO2eh/4w+pwc+U0nHjz5nxZ8jKa9qbJuqQKhvsNN27FkZPcOFcapG3XROEahXAhII1euVV71FQAREQAREQAREQAREoHAC8QGBwo8cTSmBULHElF4EREAEREAEREAEREAEaodAvD8ggVDtXBuVpIoEFkYiofnzoqWxUpGYJbLpCoRaG1tsfnOHtUWvjcGgOhKe7EjWurP91j88GAkyRgU17qQT/IPQYm7THOuI/hBehMP0kTzFenMDti/Xb9nh7AS5jO5CvEE+5JdqaHYbKRdCl54oj97oj/eT2fDwXJtjC2xec4vNSUURi6LlxrwN5zqiyEIdNjLc5EQFuZEGyww32GBuxNIjA5aOypkdjoQ2kaAo1bLDLYnmjy3mta0p4tzU6Th7Johd+nNDUV36ovPsL1Mx+Y6mbbCWxmbraGyzzogV1xJ2iIWiSkVyl2EbiuoxMJyOrmXaBqO/TCSymapYCMHLnMZWd9+0NuyP1MK16IvuFa5NpoDrG68nAphUVI+2KO9299fiPkc1cUlHxUHDUfkz7p7szw3a0EimaLFQc3QvzYmuB+egHi2NKWvmHFG9YJKJ7vvBSIAHq6megwLDqTXKm+s+J7om3qjHQJT/vmzh150yzm/qiMrdOu459XmGrzwjPK++HpyL94U+w2Fe1XifakpZZ6rTeC3W+gY6bfveVcUepvQiIAIVICCBUAUg6xQiIAIiIAIiIAIiIAIiMMMJxAcEiq2OBELFElN6ERABERABERABERABEagdAvH+gARCtXNtVJIqE2hrGbAl83Zaa8vgtARCCHiWtSy0Jan51hKJJkaFK16+QrSWkUgg1GfbhnY7scTkgpIGW9jcaSuiPNub2v4mZNifH8IFhBfbh/bY3myviwQzEcp5kXBpRcsiJxAaFS+R12gEop5IHEK5EKNMVi7KQj4LIoEFwplIuhE7bfR5pBEtjfsb/ptIaChnNpAbjgRNiF76LNfQFS1FNhg7dvKPiDuWpxba4tS8SOg0usQZR1ETBC67Mt32cPRXvKimwdoiEcXcqF7zmtqd4KU1Etgg0hqtoa9ndC2JjBOJgoYioQjCl+6IP0Kt4s9p7touj67xwkj4sp/naFwoREg7hvZG17enIPGWp4cwaG5UhwVRnu2RCIb70QnMIpHN/khUo/ckQiQETgO5tHXlet09OlSAwGpUcNYW3aNznZCqJRI3NTshFXeXZzV6XWDFH/frvkgkx3kGIzHXaC19qSd+RXy3LLUger7mubqM3nejOVBervuuTJc7z0Q5wWZx83xb3rLAcTnw/o0fPXoOOFGHdHSPIXTievdFr0RgqlWbjjiIOkkgVKtXVuUSATMJhHQXiIAIiIAIiIAIiIAIiIAITEYgPiAwWfr4fgmE4kT0WQREQAREQAREQAREQARmDoF4f0ACoZlz7VTSChDwIqHBkR1TXmKM6DxrWpdFkXXaLZMesr6eHssOZSLBjVnH3CjqSUe7ETxny9DDTswwWdQfhDCrW5Y6IYxFwpqe7n02NJgejaQyJ4oK0xkJSlLNTgyzJRL3DEYCj3yGOGRl6xInsGjIRpFpenttKJ221rY5UT4d1tDUaNsze53YaCJxCMKPpZGwYmXLYmuLBCF9Pb020NcXRQ1CDhRYpA8h4k5La6u1zYkiFrW2RGKgBidyQVSDSGR3dl8ksBgoSviCmGNRaq6t+v/svQeQ3Gd65vfOdPf05JwTck4EQORAZJBgDkvtbolay1J5JZWtqvOV1ld3Cme5zmfXnlS2yme7fCpJlry7JJeZBAESgQQIgCByznkwmJxDT8fx87yNBpuNmcE0MAM2iPfPGsxM9z983+/79y4b/ePz4PpMrPF6+qS3m9cPSmZ2tqSmp+m5b4IxE2WGu3GsmRBqiiB3UayhUMPHert6pK25WbraO1Gt1sdQHOWeV1gg2fl5SEFyqSzEVJlWzKfZj/3w83A31pbxmuUpheKCVOXp6ZW+3l5d1wysrxPcWnFOri+llOFsFGkoqeVD3GHSDufB+7GzvUPam1t0vcgxBefOys2RnIICSQM3XF6Tl9rBjYIVk64Gk8Uo2VA+KsB1MiGMUQwK+APS3dEhbU0t0o17n8c6nU7JzMmRgpIivc8IkBIV5RrKPF1Y/+Ek8TA9iLIcXw+877y9feIBJ27peG2501J13Wt9Tfp9KE58nVa6i3C+DOXS3YnXqT/8Oo09juudlJysrNIyMnS9eadTFOKaU9xq9XfFteax1xiN3ykGpeN/h3h/3U9yEMcUCDqloztf2nvyRmOIdk4jYAQekIAJQg8I0A43AkbACBgBI2AEjIARMAKPAYHYDwTinbIJQvESs/2NgBEwAkbACBgBI2AEjEDiEIh9P2CCUOKsjY0kQQikIUnI6b4Is6XjvkaUC4GhCoIQhYnTh4/Kif0HIZZ0aIpOaVWFLFy9UkoqK6QD6Tk13iaVY4a6UB5EGAoRGUiAuXz6nBzZ8zVklRZJhmiTX1wki1Y/JRXjxkgbznfT26hpJoOdLwuyQBWkCCbj1Fy6Kkf3fi1N9fWSCzlkwaoVUjV+nHT392FcjUMKFhSEyt0FUoYEIX9Pn3zzxW65fOachAKo2Iq5OMeZkupWCaWwpERKqyrxVaEiTyipX+UQSiIUUoabwhIRnUqQJNMDaefUwSO4/lkVPWYunC+zFj4prvRUqfU2SyPOPZzzUqIgF6Y/5eB7MhKP2lta5calK3L13HlpuFmr4g4FGAojzpQUyc7L1blUT5wg1RPHqwRD8YliDefEpJzhbKlY20rIQUxDar5VL8f3H5Cay1chbqXK7MULZNrc2eJPDmF9WyBU4V6ibTbE9m3KDlKsIPF0g9GNS5f1i/PoausQn8+HVRRxQN6htFZYVoo5TJBxUyfjvirUCjUmUtUjuYgJOeEcqG8v6kx2QD7K1hQnphN5ez1y8+o1uXL2gtTX1EhnaxtkKshqGGsyxLPUdIhX5WV6j42ZPEmKy0shIyVpUlGDv1VloXvNi7IcU6uYptXZ0i6nDhySy2fPYR5JMuWJ2TJ36SKRFKcKbvU451DSESsA+TqFBiaXcO8c+nKPynwDoSUnim1uCFT5RUV4/ZZLGe7jwtISSYGUxCo7im6NvvaEkIRGQgyKrHSfL02aO4rF60+NPGTfjYARSCACJggl0GLYUIyAETACRsAIGAEjYASMQIISiP1AIN5hmiAULzHb3wgYASNgBIyAETACRsAIJA6B2PcDJgglztrYSBKEAGWA1IwzSD1pua8R5SKxpRoSDqWJXR9vkT1bt0kHZAluGdlZsuG1l2XussWSnJYiNX2NmjjD2qKBNtY3VUAOKkZaj6/HIzve/1gO796jaTlMUykoKZbn3/iJTIUc0RHqVbEnLHPcfTbuz0quMqTuJPv7Zc9n2+Trz3fo2NxI91n9wrOyaM1TkpKZBhGlSdONBhNrKGRUIImIskZ3a7ts/vXbcvKbgxJCwhHTYpKdrPy6vdFlAVSHw6HCS1ZurgpN0+bNkbEQRVIz0qQr4JE6SiIqCQ3MInI6fmfKD0UnSh4XT56SnR9ulmvnL+L6QZk+f66se+UFvUYLUl2YJtM7RKpS5Lw8Z5mblWmZEvB4VTyheHTzylWIQi3ih1DDOSTjiyJLENfi5kY6Uk5BvkyaOUPmLV8iJRBH/BJAVVurNEPmCSDV6F4b67mYZoOMJTkOjl9gPo0QeXit+SuWyuoXn5Pc4gIVUG4hRWiodCfeM0z0obyVivM11N6SY/u+kQsnTiHVpxliEKUd+G9IxOE9QYmmPxSCKIRatZxsFYTmr1gmVRCexJms9wHr66ITkXgN3udcf4pwnS1tcvLgYRV2GmvrNP0ovOZOXfsQzt+PdCneG0z6qZowXuaC1cTpU8XBdCQk8Gjl3j3SkZjqRE4UuS6dOiPb3/tQbly8rHgpCPG1VTa2StN8eA+zmm2wjfcOk77cIYcc/mqfbH3zXRWEmBTEcVII+s5Gcwi8XC4XhKoMySsqlIkzp8usBfMhV5VokhBlqmYV0u59D3/n3CP0yx0xCHNwQaYaia23L1Ma2spwn7BG0DYjYAQSjYAJQom2IjYeI2AEjIARMAJGwAgYASOQeARiPxCId4QmCMVLzPY3AkbACBgBI2AEjIARMAKJQyD2/YAJQomzNjaSBCHwoIIQZQ/KK6y++uKjzSoIdba16+woZMxdtkTWQmBhggoTR1gbFS1fRGOI1JXlIPmHySxb33pHrl+4hCqtsIDABKEXfu+nMn3eE/cUhNwQBpiYwsqpJkgcn739npw9ckwCASTi4KIzIDqsf+0lKR9TBSmkU26hnssziFgTLQh1Icll86/ehCB0SMdVVFYmxRVlWvNFCYX1aqyaam1C7RNEKSbwsAKsbEy1PLlymQo9aag360DdFCWRLnwfKkmGDIuRHMR6s7DotF32bPlcIoyLkISz7pUXNXnHx9QdCEKsgBrqnJQpylz5ELFyJOQLyrmjx+Xr7V/ITaT4sFKM6Tdl4FKJpKbsvDydQzsqx+pu1KiAw4ozyl+zFy2QpRvWasIME5FYI9eFGrWhNqYhlWIuTMXpbe+S3Zu3yDc7vpQ+nJPbmEkTZP2rLyEhZ5amOt2rNo33DKvXmDzVUlcv+3fs0kQisqcIVlpdqek3FLWY7ONBzVwD7odb128gWahdJa5Js2fIso3rZOyUyeKF7kQpqQWpSKHb8TpMoiJ/pmXxvBSQDkFca0L6ERODKEwxjagI9zilKlamMamq7toNFdJcSF8aM3miXmPKnFkSTO5XoaoR9XaDyXJMeGJlWhWSlgIenxxAahVfXz2oBuNWXFEuayBSUdLy9Puw7s1ay6ZPDvDHHUEo6JCDGPvWN99R8Y5VeyWVlUjVykdKVFiyoUDlx33c2daGOdbhmt3KLrewQO8zpnjllxZrChbFJFbmPcxtNMSgyPh7PJlS31YR+dW+GwEjkGAETBBKsAWx4RgBI2AEjIARMAJGwAgYgQQkEPuBQLxDNEEoXmK2vxEwAkbACBgBI2AEjIARSBwCse8HTBBKnLWxkSQIgdEUhDhFCizP/vR1mTp3jvQlBeQG67xQDxYrsFDCYd1VOVJanMFk2b3lM9kblUbEc8UjCEVSaiguHdu7X3Z+8LE0QSDhdSkcsS7p6d95VWY8OU8o1rBmrD3Yfde4eN3BBCE+twAVavOWL0WFWFY4oQZJOz6vT9pbW1GbdUWTXxpu3tJrllVXyZL1a2QmrpmCJKEmSCj1kFGGquZifVYl0ouYktOE83z+zvtyBlVuTA9iSg0lmIVrn5LlT69XUYXpN0wn8ocCHN4AW5LkQXRhIlJGcqrWiTH5iQk1QaT/VI0fr0yqIerkQQhh7Rd59Xk80trYJGePHkNyzmGtI6NUsmLTRq1rc6a7tZ6L9VlDpQhlUuiBUMYxXEFd1vZ3P8T383fWJSs3R1binIvXrZbkVJfKOqxNG6g+i8k+hbflqSSITkdQIbf7k63SUt8gBVjfWRCYJs2ajnkUYh5uXR+KL92QbCieHd33tUpRKUj1mb14kax8dqMUQfZqgTBG2YnCmNZ8IYmqBPemt7sXx3wj+7fv1HspIzNLJuL8lH7KIYBlIC0oCWMK+P0q8ty4ckWOY39ei+lIMxfMk1VIrqK0xDqzWpVrwmJU7EKlYt3LsUZFWPf66zf1/j158JCuOdeDqT6syVv1/CZJy8lEtVyb3EIlW6B/4ASnwQQhphstf2a9jp9yE7fIa4SiU13NTaQxnZRr5y6o+MQUr6Ub1snitask6OzH+rTqtWNfz7HzGYnfR1MMiozPBKEICftuBBKTgAlCibkuNiojYASMgBEwAkbACBgBI5BIBGI/EIh3bCYIxUvM9jcCRsAIGAEjYASMgBEwAolDIPb9gAlCibM2NpIEITDagpDT5YTw8bQse3qdZEL+YIIQZYZYgSU68ae1vlE2/+ZtOXfkeLjaCm1H/fhnuIIQxZFyJK9Q6vB1e+Tzdz+QI0hNcaIuibVJfRAfuC1B+s2KZzZIdkGeig6UW2LHxf0GE4SY7rPmpech56yDHJKlY+Te3IJIKqKIUnv1mhz7GpVXx08Kk3fGTJmEerNNMnHGdIhJQdSbNUMW6byTVqMHR/3B1BrWTGVC5jn+9QHUrn2kcgpTfgIBv/ghIzGdZh1SdybNmIZkoh7ITk3SPUiqC9mwdo11Wd6uXvlq6+cQXr6Q3q5uyEHjsE7rNb0nHQKKoHaKwgnnz+P6A0FphGS1D1Vtx/bt1/lMmjVDE4zGTpl4O1GmGdceOEWIvAqdOSonOVD7tn/nLtTSfarncUHSIZ8QJCXWpq0F17Kx1d+RdaKw6I+Udyqwzqyka4Q8tfODT+TE/gOoD3NqpRdFIwotSUgOiiT1cB5JuJ96u3sg++zXNKZmCEVMgVrz4vNah+dBipAmMaGyjelBVai9Y93X5TPnlP9VCE0pqFqbtehJFb6Y5kPJKAj5jP/gCvrl6e0V1rbt3rxV6iHaFJQUyVPPPSMLV60Uv4NyTQsksfa7pDTyptDDZK60fpfWmX3+2/elrbkFQliqplT5/T4Zh8QjpkdNmDH1TprPYOs+mCDE9dv0kx9JJdZeN6Ym6S2cpOPimrB2bt/n2+U05kKW0+fNVbmuEIlJrEvj/TZYKljsmt3P7w9DDIqMywShCAn7bgQSk4AJQom5LjYqI2AEjIARMAJGwAgYASOQSARiPxCId2wmCMVLzPY3AkbACBgBI2AEjIARMAKJQyD2/YAJQomzNjaSBCEwWoJQGgQWyh5M05kAceWZ33lNqiaOvyOwxNYSsSKKIka6w60iDJNlGm7WSnY+JB/UXvX1eiRvmBVj6Y5UqUa9WC4ki2vnL8pW1ItR6mANFKuxKGu0Q7aohljzzOuvyripk5EeFBZrYsfFZRqOIJSWlYF6LY94Qj5hjVYa5pGa5JIgKsZuXLosXzKl5+RpyCsOeRKCyEqISXkQRhp8bVo15g3577ojIjJPRHTahXQc1nFRtCmHPOP3+XQuFGJWI5lm0ZqnNHWHdVPNWpEVrmaLPjHHVQnOBeB9/cJl2QZ56iLGxaqpZRvXI7lnlWTkZKM2qk/Xiik6rLti8k+uI0Oc/clyHokyO9//BMdflHwIOKuef0ar5MTtULGmGQk8AyXKUAKjuFUEoaelrkFTcVjXxaSiQiRNtbe0SDMe5+9rX35Bnli6SFTWgYDC2rTYjevMdKV8Z7acO3ZCtiFd6calKyqSsX7ryaeWSz9CcbogS/GLkpA7ySnZuC+YnsTKtB3vf4xEpENI5Em/I4w5M9yaxtMU6AgLTRCqAr1e+XrbTsg+n2lNGe8dSkyTZ8+UEK7RiWq18DWCmjrEe4/MWhsade0P7fqKlpvMWbJQK9S49kyQoogUK6Xx/imBwMU0rZ72TiRpbZe9EHTcqahMq6qQPrweGnAPpyI9ajnuI9ajhZyi8t1AwhG5DS0IvQ5BaKwmWXWiKs4PKYxrnoH0Lc4hgNfwUaQzff7OB1ptx7Qk1vPNXDBfK/IoCPG4kd4ephjEsfsDKdLWVSBdnuyRnoqdzwgYgREiYILQCIG00xgBI2AEjIAR+J4J9CIBdvORJmnq9MnU8gxZM7Pgex6RXd4IGIEfEoHYDwTinZsJQvESs/2NgBEwAkbACBgBI2AEjEDiEIh9P2CCUOKsjY0kQQiMliBUBokgiISbtqZmSU3PkA0QCih8ONJS5EZfI5JHOr+T6sLKq2LURfl6+mT7ex/K4V17VYChXMRqq6ZbdcMShCjzFKKWiedzhZJlH6SOPZ9+ppVfi9askgqM6yxkkstnzmqi0PpXX5T5K5aJuJ1I82mSFk3z+a5YMxxByIXKMCbCUGShwMOKqHxnFiSlTBH85eehXXtkN8bBtBoKFhtef1mmPTFHusWr9WZdEExitwwVYMJ1XKyp2g6ZhTIPj2d6DQWhE0gVYnUaxRMKK8UQSCiJsG5qoOqyXIyJUk1GklsO794rOz/8RI+nJLUeKUQTwburHwIKxKUuSFMBSDW8Ryj3lLjywTZbeju6dS6URlKRaPPE0sXy5MrlkqVJTC1amxZJ7ImeU86dNCQ3atKOaRpP7dXrWtE1de5suXW9BhVmx8WL5J1Fa1dp2k5GbjYEqjap96M+C8JZ9JbpTFOpjOc9jpQmpuw04j4pQ4UXE5Vmo2LME/LqXFjpxTQkSlcFEIrKIN+EPH458OVuTVBKSk5WhovXQJDK4zVbNR2nBPViTCiqw9h2vPeRykQupAexWo4SEuu9WEnGGjTyZoIQr8GKu3KIRc5gkhxHqhGFN649q9s2vPayzpn3CuWaXshY0VuG1rBRfMqE4IZ1x+vhIirgKseN1TF2dXQizeewvrZmLnxSX1sFZSUqhVEO8w0gm91LEKoYP0ZakZjEajV/f0ClON5/pVjzHKQoqWj31nv6usktKMDaMBVsvfJlChZfzyO1PWwxKDLuXm+GNLWV4j6DbWWbETACCUnABKGEXBYblBEwAkbACBiBuAn8u7cuyrVGz53jnplbKL+7vPzO7/aDETACRuBBCMR+IBDvuUwQipeY7W8EjIARMAJGwAgYASNgBBKHQOz7AROEEmdtbCQJQmC0BCHKGanpaXLhxCnpau9QiWTNS89plVOjrwMyTfMdgYUpJVVI/KGIcOXsBfns7XdVSMgrKlSpiNVO15EENJwEIVeyE9JIsYos7U0tsuWtd7QaiQk5G3/0ioybNlnlFNZqtTU14fxLZPWLz0oRKqYafRBrIPnE1iUNRxByZKTKDW9YfGJ6TjIkIc6LFViUM2ouX5Wtb72rgg9rolhNtmTtaklKc6kk0oK0mujUHV6zQEWnAklBRM1+JAexqqqztU3mr1wmi3EsK8a+/OhTlWqKystUFGGqS6/4VHZqhxQTvXFMlHworvghYlEOYiKRF4k0TNuhYMRkm3qmGkHIiU62ofRE4YnzSUtK0eSi+tpbkgyxphApQkwAYk0Y+dWjqi1W5qE0w1Qcijn+7j4VjFhV1g8BaemGdRCMlknttRuy97NtcgMy1HiISuteeUEmTJ8G6apbaiHSxNZnUaRhDRclLIpF2yAI1aAOK7cgX1Y++7QmKjncLk326UDtWS9ShHyhgNaGcRyp4pJWCGyNmEcIa5aP+62wtESSXA4VhFiVxjq2HCQnnT50FALSe5o6xH14zyx4aoX09vtUqqHsE71+4XSjImVWd/2GHIQgxqqunLw8JEitgCA0U8cVm77DNcpHDRslrmRfSA5R4oIY1tvTAzloEea1UV9P+z7bgfv4iFDEW/vy8ypDdYdQBwZOsevOe+DeglA17v8OldUoUnFLRdqUVrjhPqy9dh0JQu8rhyxUBa5Afdsq1KV5+sN1bK2QpEZioxyUmZIpLghpD3tjvVhDWzkUL/6vom1GwAgkIgEThBJxVWxMRsAIGAEjYATiI/DNpQ75uy3Xv3sQ/hX8n/9kljhQc22bETACRuBBCcR+IBDv+UwQipeY7W8EjIARMAJGwAgYASNgBBKHQOz7AROEEmdtbCQJQoB//ZaacUaczpb7GhGTUihppKOO6IuPNsuerdu0hmjJujVah3R4zz65CTmmABLJpp++LtPmzhFvMmq3kCLUgYQa1i6xQosihjOUpOLIXpyjGykpk2bNUPGBSTWXkKAyHEGIIkQlZKMsyCNMqaHUQEFj4szpsuFHL2sKyy38TgmJ56RY8zTqzzguijU1kHxYF8UkmMgWlyDEeq3bx0YqwkoxP29Xr3yOOq/DEEX8qGxauGaVrHpxk1CCqoVU04DEmoiYwetSdArLGbnSgTq0bUigYR0XRad1qN+au3ypyjWsvKJowzShpaiaYnVZem6WijpMAYo+pxPnrITgw6Smpto6MHhPTiGJJgWJOKue36SJMMkQliiZNMcISyxay0JiD+UiCjMwaiQURNISbqBkh0NFIab1RNJkomUZzieNaUi4dj6qzWovX9Nqs7PHjktpJdJ+IALNeHIeKsZaUcf1qaYtZWCeK5/bpJVnIVeSSjisTYs+L1ONyIiVZY03byFh6SNNVKK0xOQp1m+NnzZFxSWm4lAOYpUb15PpOG7w4FKFQuHEKKYIUYRivRqTdHgtijpuJMoc+GK3pgB1d3Sgkm6KVmzxnqIYU4OaMFaxRW9cP6YPUUQK+gLSAbGrt7tbHA6nCkyZqHFjLRcFoS6ISJGNc+Jrga8J1rDxNcWkpxxU7a2EkMMaOU9Pr6Ye7d68RbkvWP0U5K7nxAlJTeUu3E8hiFfR270FoTHSdjtBSBmBQ7YjXcdC0Y0VfZTtrp67oBVwT2Esy55ep6xqkCDUPkAFXPT17/Xz95UaFD0uCkL1bRXRD9nPRsAIJBgBE4QSbEFsOEbACBgBI2AE7oPA//rhVTlx4+4K6b99Y4qU5Lrv44x2iBEwAkbguwRiPxD47rP3/s0EoXszsj2MgBEwAkbACBgBI2AEjECiEoh9P2CCUKKulI3reyMwaoLQ+jUyCQLFmSPHIOocFR+kmJVIHaFUkJmXI3WowKr3twmUDE0PYjpNa32jfPqb32oaTFp6ujyxbLGMmzIZAsx2uXz67D0FoWSk1JRCyOCXeAPy5SdbZT8qxvo8vZBFNspyXJsJLp5ej+z44CM5sHOXBPx+rbJaun6t1kVRcGFFV7RYc7+CEBc1H5VclEyYVvM1xrLr4y3SBuFn6hOzVViqmjBeK7CYqEQxI7Jlq+hUpJLGOabjQBCquXwFiTpTIae8LONRCcbt1KEjsvODj4VVXRSq1qPKbQxqrFgXxbqp6PoqyieUp4owpisQPljJxXSmHCTusAKONWFhSapJ5RVKLmkQv5zgShPImeRAKlKqZCanqcDEteNGlYq8mKLTgDWNlWXIL8LBjTSkIxC+dn7wibQ0NKIqbYEKQmVVlboWB3fvkS8+2AyhplXmoJKOMlRhealWeNVibaLrs5i2UwTZiZIQnkDazh7w/VRTgXj/VE8aL9PmzVVJiKk/rpQUFWcocHFMHHcI/1AEwp9aecc14Dzag92QzNJVfkv2hlR8o6xDuYspTawJK6os0/lSJopNTKJolA2RimPLhlilJhX+jGwUlpogPNVDDIueE9edwl1mUqqcP35SPkNqUe2VazIeSUobX39F1z2IqrWzR45rolF9Ta3Kb0zHqsJ8mbZEyS12De4lCFWOH6vJWV1IWWI9HOU21uRR/PP3eeXInq+16qyzrR0VblWoo3tR5T1KfpT9YtOdIvMc7ndHskPSXemSpqyGe9TI7efzu6Wls0hYM2abETACiUvABKHEXRsbmREwAkbACBiB4RL4y7cvyeWGb/8jichx/+l3p0hZnglCER723QgYgfsnEPuBQLxnMkEoXmK2vxEwAkbACBgBI2AEjIARSBwCse8HTBBKnLWxkSQIASoe+TnXpN9RL/7gt4LKcIc3WIIQk05YidTS2Ch7tmxDwkst6r2myqaf/AjixgTpRGoK01NSbqfapKPO6Njeb2QHUmAakAbDBJgnVy2XzKws2Qkx4wpElvziInnh934q0+c9IR0hHt+oCSaRsbISqRoCTB4qp+quISUIcsWF46ckt7BAnvnxa5pS43Q6VQg58c1BFR7qb9yUyXNmQdZ5RaonjpOW2ykq0WLNgwhCmZBMqlOLNHXnKBKAdrz3odSDxZhJE5Fc9KpKVBRFKJlEpA6KTuFUpXzp7wvILqQEfQ1Jqs/TJ0sgXj2F+izWaHFrqqsPJ+fsPyBZOTmyBnVT85YtkSBSd5gE1BJAohEEGG6pkD0onxRAEApLRx/IjUtXpAj1YBsxljmQdTohiNQhgSYIZSbfmQ1JJhV1aRSEwhulIAdEIco5/CeyUSrpQCIOj42VRSgaMXmIiTqdLW2ainNo11eaXLTy2WdQMbZGUtPSVNi5duGibHvnA61iKxsDEeWVl3Tduvs9mk7UEVObpjVumFMeZJym+gatTGPiVBdEFieEoGzUYRVVlEvFuDFSOXaMplrlFBSoLERRiGwoN3WHPEjB6cH95FFRi/MpRLUWefm7PZDNtsieTz/X/ecuX6KCUFZhns6Xc2ZFWexGoYqSUTaq8/hzhBfTfXpDPrDuEaYuRdaHXJnuVOEuEC+uqUIZrsvnn0SdGWWpLCQPcWuorVXJ6uje/ZpCter5Z2TBqpXiSw6ijq0Z9/G3SVbc/16CUBUEIUpS4eShJIh7UJqwxl7cc1fOnZe9W7dr4hbTmaYj7Wnj6y9LQVmJimis1ouWnHi9+9lSnamS7Q7P736Of5BjevpQL9Zq9WIPwtCONQIPg4AJQg+Dsl3DCBgBI2AEjMDoEjBBaHT52tmNgBHA33+l4u+y8PcXHo/nzt+5xMPFBKF4aNm+RsAIGAEjYASMgBEwAkYgsQjEvh8wQSix1sdGkwAEnKj7ysy8DEGo+U7VUjzDGkwQevKp5aiHWi3uVDeSTj5AKtAxFUI2vv6qzEM9lkOrrJqRUJOiIoavx6OJNke+2id+pPqshAQzFwlCPZ2dEH3e12qjewlCmlKTUqTnPPjlbvnyo08hKDXJTAgNa1FjVT6mWqdGraXxVp1WJjHdKDM7WwWhuUisoVhD8agVKTIRceNBBKF0CDZVt6Ul1nltRxJQ7bXrOhZWrk2FnNQMmYOCUERKYnJL5W2Rp/56jYpO546e0GonpgfNWbJQHE4HZpEkAZ9f9m3bIV9BIupBhdX8lcs0EamgtPhO3VRE3kiDQMWxFCCt6TTmvQ2VZzeRTlNaVQHh41VNxmHdFeUSjoE8U5JYwxUWaQa7LyiSwCbRBBrWpbEKLLriipJUFVKUciBuXTx5WgWg6xcvQciaoOtCBnoOXKCzvQNC1Bat0OJf5izdsE5WoCosJSsNMk6rVrFR3olslGoKMU7WcqX0O6QZktBppCqdOnhEGiHReJF+w/OkZWRIVm62SmZl1dVSNXG81s1lQSCi50RRh+PmF6vIOB6mE1EQ8rR3q9TEJCveC7y3uQ7peahy0ySs1jv3SmRcke+UqygHUay6IwgxrYj/YB6Re4z7c32YOMT5MBGKqVFnjxzVGrxVLzwbft1gLtyYgsV7fAfSo5hqxNfKWghE2YX5moDF+8mPeUS2wQQhvib4OmXqlDstVXfvR30ck7WYFnQdAhmr+G7hnmWNXTkkK67H7EVPit/Rr4IUE7cGEqQi1x7u9+9LEPIHUqStO1+6enEv2GYEjEBCEzBBKKGXxwZnBIyAETACRmBYBAYThP7jTyZLdWH4PcmwTmQ7GQEjYAQGIRD7gcAguw36sAlCg6KxJ4yAETACRsAIGAEjYASMQMITiH0/YIJQwi+ZDfBhE0hNvYGklToIEb77uvRggtA8pKw89dwzmk6z9/MdSCDZJp2tbcL0FYoMRaiNYloPa69YW3X17AUVdq6fv4hKqTJNGmJl1s0rV2XLb94RJssMJQhRFKFcUZySK32d3fI5UmiOohYp2ZEslCsWrl4p6VmZ2odF+YOyw+7NW1FftgMSUpcsROLRKow3r6QI9WetqD9rUVGEUB5EEGJFV3VqiaYaUUZiOs7Nq5RyKoWC0LS5c5DC0vmdOrA8V5ZUQnRKT0qRo/v2a1JME4Smqdh3HUQn1pIx/SYyNko3FI/IqGLcWE23mfLELOnSlKUm6QqE49spoDBhiXVuKgjdHgsro5hmNGP+XE126sT+TOZh8k0Lat9qIIl0tLVJMPCtcMJrh0IhYSJTQUkxUqEmSnZ+rko8FHkCqNDixqShwts1YEm+oHy9/Qvl3tfbK/NWLJNVz2/S4zkfcg4Fg3IcaUg73v9YOGfOY/0rL6rQM1C6E6/hhsxEmacIiT8p4pBuSGV1SIa6eu6CVqjV19RIX0+YQTLGm5aRDtmqUFirNQVy0rgpkyQN90Zv0IsqszYVpJig9K0g1BUWhD7bIUkQdBasWqGVbKnZmSp2Nfja7qwHx3M/G+/JXKxLFe5h1rCdOHBI75W2pubb6/6ipiCFOamzpeIOa+JuXLqs98Q61H6xuq4TSUg1vm/XneMZTBBKhzhVVFEm2aje41py64e45Id4Ro68fk9XN1ZGpLS6UhatWYVauCfBK0PabtfYRZKveOyDbN9XzVhvX4Y0tpdJENxtMwJGILEJmCCU2OtjozMCRsAIGAEjMBwCgwlCf/36RJlQkj6cU9g+RsAIGIEhCcR+IDDkzgM8aYLQAFDsISNgBIyAETAC3yOBvr4++Q//4T/Iz372M5k4ceKAI+np6ZG9e/fKmTNnpBv/Mf3kyZPl2WeflQx8BmKbETACjxeB2PcDJgg9Xutvs70HgdzMVhHnNSSZ9Nxjz8GfHkwQmrN4oVBYYDrNNUg/W96E5IPvRbflH4oZ/mQIJhB7koL98hXqm/Zs/VyroeYiYWgtqrK47+UzZ+XTX/9WJYihBCEKLUzHyYHUwsQTphYxpaakskJlo8mzZ6osFJ4JdQeR88dOaopODQSLCsgiT//Oa1r51YW6KdafMU2H24MIQkwQopSTi/Sck7drzW4hFYjJLaxbo9DBxJ6btxOEyKMMFVOs4/J0UEz5VA59+ZXKOMuR3LL86XVaJRYtCLW3tqpEdHj3Xk3LWfnc07J0/VpxZaZq3RQTXphWM5ggRFmJghCTlrpQscV5M/UnC0wvnz4rX235XJOGQqGg8oj8wfQbpvNMmjlDVmzaoAJLPWSZ6PQaJhGVIz2I8k5DDWuxPgaHQ5KJqqzVLz6nso0LVWCRjSvDhCUm4zAJKCc/X9ZgPyYj+R0hrRlrjapN43GUa1KSXEg8ykI6UrakQ8rChKW7q0sThepu3NBEnrqam9La0CgeyEI8hok5RWVlMnvxAk1lykFtG+fPyjDWpUUqxvo6elQQ2vsZEoQwQCYIbUCCUFru7QQhCFGR9YjMI/Kd10nmP/gevusgVmHv2PQg1rCVpuRLmStfOlpalfk3O74Ul8ulCT+rntskqRCbwltYpmI6FiW3A1/sRlJXKtKW1mryVpLbIbeYtgTZibIPt8EEoeRkVMY5nCo+hc/NP1E1hhQhylqUwHLy81SkmoZqv3FTJks6xCjWyFEEa0fS1kikB0Wu/X2kCPV4MqW+rSIyBPtuBIxAAhMwQSiBF8eGZgSMgBEwAkZgmAQGE4T+4tUJMrXc/vJ+mBhtNyNgBIYgEPuBwBC7DviUCUIDYrEHjYARMAJGwAh8LwS2bdsmf/ZnfyYXL16UHTt2yOLFi+8ax549e+TnP/+5XLt2TdxutwTx2UYA/8F7eXm5/OM//qMsX778rmPsASNgBH64BGLfD5gg9MNda5tZnAQcqBbLeoBqscjlBhOEZi6YLxt/9LIwnaYX5i7rkg7v3qMpNMuf2QiBZY1kIXGG0kRzXYNs/s3bcu7IcUnPzNC6rydQ95WaliYXIftseZOC0JVBE4SoXjA5qBw1U45gkuz+9DPZt3W7pt5QwKGIwgqlSEIKx85/QaCI8uVHm+UcRCFXiutbYSUjFSJKk9ZNUeR4EEGIKTwUl7Ih3ByCwENBhvVmYyZNlKd//KpMmjEdlVAdKtUwiSVDRaciCEUZkHPOKber586rpLECtWvzIU8xCemObILxdbd3ypG9X8vX23ZKK6SRGRB9mDRUMW4M5hCuL+O5KetoxRgqrM4fhxyFBCFKVEVlpbIRgtCcRQukF1VbnZA/MiA2URCquXxFBRSmE/lQ16Xs8C9Wfai48nm9WpHFFKT1r76ElJ9xWmsWLQhRjGJdWkaSG8lABzH/j6Qe6T7lGBvTg6YjtYj/whbZKKS0QOLZt32naN0c6rPmPxVOGsotLECyU5sKPJH6LGeyQ9xIWkqBYEMxKMeRgYo5two5rPeCvYKasT5Nw2lvbkWyUI1cPX8BqUhXtUKLwg8TkBYgYWr+iqWSgRoyrkcdqsOytBqtWPyov9v1yVZIbFuF9VtMwdrw2kuShTovykT8GkiSoeyVhfXnmJyoaosoQiHUizGtqCPYrd85dwpu5MR1vwQpiwlY15CAVFBcJMueXq9SUlp6RBAKpzexAuzInn267vyZAg/FpdIxlSqdUXLzhsLJYIMJQny9FUPEy8zJgSgUTtBhxV97cwvq+RrF6+mTwtISWbpxnfJJz0TSEu4RykFtuLcC/d+VxiLreL/fH7Yg5PWlSksnauR837K937HbcUbACIw+AROERp+xXcEIGAEjYASMwGgTGEwQ+jcvjpNZ1VmjfXk7vxEwAo8BgdgPBOKdsglC8RKz/Y2AETACRsAIjCwBfn73q1/9Sv7hH/5BDh48KPz/dqYIDSYIMSmI/0H7X/3VX8nChQtVDnr33XflT/7kTyQP7QmHDx+W3NzckR2knc0IGIGEJRD7fsAEoYRdKhvYwyaQn9Us/Y7r+IA/nJJzv9cfTBCi+PH0669oUg7lCabG7Lgth4ybOkUTa8ZMnqiJLMf2fSPb3/tIK6UmI1loA2STygnjVPKIFoQoSzz/s5/K9LlPSIfWZzVKT7APcogL4kuRpse0ohLr09/8Vs4eOab/EsA6rkmzpqNCKRdpN99WCPVDROlBzOCFk6ek9sp1FZdmLXxS1kKsKUOVUiMkkVtI9ekL+h5IEGIKTQUSdNz9Tk2F+WrzZyouqVQDyYTjY0UVr+VDLRdrrSg6OQNJsvfz7Zqs1IGEoKzcHGEKUsXYMeJ0sQoqrAjxX3oo6lA6ugyZqhWVUBQ61oHhE0sWijcpoHVT7YFucUFSYXVZUUqOXD9/ST777XuatkQ23H8hknECjn6k5/Rq9RvlJi/kGJ6TdVOsGKPA09XeAYnljIosrGcbTBBi7Zum4iAZp6+zR7785FPZj4qxsHRSKpPnzJCi0lJx3K624j3I+bB+7PrFy0icuqBpP7xP1qFmbMqcmTq2m7frs5iIVODM0So0B1J6HBCCKOUkg40fLP2QVyjlUB7i45SFKDa1t7Sgju2SnICwdOPSJQn4A6gbGwdB7FmtWevp96ogxvNRqEryhnQtvvjgE2U9A/IbBaHiynJN6an1Nt8lyjA5iFJYGdaSopXKSrdfZEwbouBEeYspP5Rs9D5BvZh4AypkUSTrBlum97Bqj4lTTqQJRTZddwhbFJ6YssX6zQjuWQAAQABJREFUvuKKcpXc5q1YAonHp3NoQ8IPt8EEoWrcfxSQWB8WEYS4zkxbOvTlHl3nNERwMsFpDar6svJykBrUIze8jZCb+iLDGbHvD7tmzNKDRmzp7ERG4KEQMEHooWC2ixgBI2AEjIARGFUCgwlC//q5sTJvXPaoXttObgSMwONBIPYDgXhnbYJQvMRsfyNgBIyAETACI0ugo6ND03+ys7PlF7/4hbTiM7K//du/HVQQ+vDDD+WFF17Q5ojokfzlX/6l/M3f/I3KRi+99FL0U/azETACP2ACse8HTBD6AS+2TW34BFgt5kqphZDSqcLH8I+8e89BBSGkmTCVpgJiAzfWIVFIOXXgsIoOFCzmr1gGZyOEOrD3NS2G8skqSAiL165CjVb4Lwa/KwgVywsQhCikRAtCkZSaTKTeHNt3QHa896HU36zV6zKFKDUdgkaUHKRP4A/WL3kgo1BYoXDBJBmt2oIA4ksOQoJo0pQX+Bwq+VB26Wppl82/elOFJ0oga156Xmu/HEgdojTRCukjUjdFwaQc0kdJSrgu7LPb8wwioWXB6qdUSMkrKUQNWAskoVaVSCqxP2WRFqQqcf9TBw+rmEOJJh0VU66Ub9N27swDVwxCcuFc/D6f8l0Ehquee0ayCvKQ6tOK5B3UYGGOFRCpSiAhNd68JVvfelfOoMaL4skyVJetfPYZSc/J1AQdJicVoLIrFek83Hhs5DsTeQ6i9ozVY0yaGUwQYhoS5ah8pAhdPXdR69xY/8ZzsVYsDfNxOr+VXvQCt6/lwzX6PB5NesrIzpIVqFdbhhSb5FQX0pZapA01Y5SDuCZuCECRdB4dI/7g+DuCPdivC9cTTRfi/UGpyCkOlZAunDgtezAHpiOxoovMVuP+c2enyy2sibffLxVYjzRxyeGv9mriEuc7btoUTUyaOHOatOL8TOphQlP0xmSjEtSFlWN8Qa9fJauertuyDmrTCkuLpTPgQbUcU378qGErkGKuC2rYdkBEOv71N/raZOoVOQ227lxvSk8B3FOcA0Uepkel5WTdFs9awCI4qCBE+YhVd5Wo2ItIZ6wY6+nqlkO79siujz/Vn6smTtDzTn1iFqQ8ryZetfnBFv+M9PawUoR8fre0dhVKT1/mA0+But7Ik3jgYdkJjMAPjoAJQj+4JbUJGQEjYASMwGNIYDBB6E+fGSOLJuY8hkRsykbACIw0gdgPBOI9vwlC8RKz/Y2AETACRsAIjCwBDz4bevPNN+W1116TrKws+ff//t/LL3/5y0EFocGuvnnzZnn99dc1WYiikW1GwAg8HgRi3w+YIPR4rLvNcggCDogvWZmXkB7U/MByEC8zXEGIfZ/f7PhSdm3eCqmkWWYvXqTCQS9EhK1vv4e0mItSWlWhsgKlhUiayb0EIQ+SUpi4Qwkn0OvVJKJDkFdYa5aC6iqKKEnJ0frId+EEgyGVaihY8JpMU1kOGSUb9WcUURqZ8BIKDl8QgrhCASacIJMBwaRAE26uQZDhPK+cPafC0hrUnlFIcaSlqIjUEuhA4kyG1kxlQWRh4hJTlW5dv6HjcrlTtCKN5x1oowQTCPiRcOOTEOIXmdLEircJM6Zq4gsr03pCfVIKaYWpNqzN2oGUmgNYE1aHaS3Zqy9qLVkr0oaYOMTUnTTUkoVTeZI1gciNtCYUd2Etd+nxgwlCTMWhwENByIXatwNf7JIvPvpUhSLWubmwNsnJzPoZeGPqVMDn17XhHjMWzJP1SBEqHVOl1W+sAStwZmu1XF93OHGoqa5OcgrytU4uBxJOB5JubmENu4O9SBdySEqSS6vT8p1ZuiadLW0Y02a9L5maMxMVa2RWVFGmVWYdYEABKQ+C06VTrP16H6LTBU1oYtrQgqdWSG+/T2WZVsgy0YpIOtaQaU35kKyY8kPZpubKVcnFuBasWqGpQF0YF9eFYg4TsNIlRU4fOgph7j0V3CgHpaSSk0OTtsghdiMnjt3PdYdgN27qZFT0Yd2nh9ed8lIPKuMGSxAKC0KvQxAaA8nJJx7MJwMVbVh1He9OyEpnjx6XNIh281YulaconSFxqgX3OZOT+m5XmMWO60F+f1iCEMWgxrYySIq8o20zAkbgUSBggtCjsEo2RiNgBIyAETACQxP4y7cvyuUGz107/fH6Klk+Ne+ux+0BI2AEjEC8BGI/EIj3eBOE4iVm+xsBI2AEjIARGF0C9ysIvf322/L7v//78nd/93fyB3/wB6M7SDu7ETACCUMg9v2ACUIJszQ2kO+LwEhVi0XGP1xBiPvXXL4im3/9NiSZ85KPurCNqCBrrm9QQaOztR2pOis0waUAFVncKI/cSxAKIbejGjVQTBGquXRFtr75rlYupSBNhck2VagqoyhESWigjelBjbW35PyJU9KGKq0J06fpuMZNmSRtwW4VOHqRmELRZagEIVdmmtR5WzWxhhJPRnIq5JBsSD9pmiCzb9tO2bt1G+qtWqVy3FiVOKY+MVu6+vv0Gt2QOHj+MnxRdKJM882OL+5UbE2ciZo0dKQ6nN/WpEXPJwTRqR0xi2ePHJd6SEUZOTmyhhILZBRxO/UalDooijClKD3JLYd275EvPtwsTXX1Wk+19uUXZPaiJyWIS1AQ6oTAQr4s7XIiDSkd4giPT0FV2b0EIY5N05OQitPW2Cw73v9Iju75WtdhwoxpypnpTsmOgeUMP+QgrscFrAsFmxLUZ7H+bQ7EMmQ+Qdxqx3hSIYblSlNtnewB23PHTkguBKHFa1fLLMwj5EzS/Zqwrw8pPVwXNxKReAyr3AIer6Yg7fp4izAVaRpTr1iLN7Za03dY/1V0O6WoraFJdoLVYTBjxRsToNa+9JykZWciNapL6pDQ5Al5VQ6jUFWAtaeI5YQcxTSgHe9/rClaYyZNQD3Zy8L1bAPjOghMmbhHKLn1dXYj0WibjonSTzVSe6bOnY0EoYxB1z0YCEoH6sUunjotN1DLxvmv2LRRlm5Yq3VxtyDxUKZiXRxfJ24s7kHMYeub70hvd4+KSpt+8rpUQBBqQfoVa89yscYcf9Djk6N792Pen2iFWVl1lSZ8zVm8ACsQUPmqGWwpKY3k9jBqxgIBl7R150tn74P1Dkf+V2VkCYwkTTuXEfhhETBB6Ie1njYbI2AEjIAReDwJDCYI/eGaSlk9I//xhGKzNgJGYEQJxH4gEO/JTRCKl5jtbwSMgBEwAkZgdAncryD0xhtvyHvvvScHDhyQGTNmjO4g7exGwAgkDIHY9wMmCCXM0thAvg8CI1ktFhn/cAQhSib8IJ0yzjak4hz8YjdSa/pk4ZqnpOlWnaaypGdlot7rNQggCyUZQksyZA6KKUMLQk1IuHFD3ikQd79T9kOo2fXJVhVLxqMGinVl1RPHawLPYMk7TDZqQB3ZdtSSXTp5RjiOda++JE+iqiki1rBGiuLOUIJQGo7rDvahLsqHpB0Haq9SVKTph7hz+cw5+RLCD9ODKPg8ieSZlc8+LfklRSqi1N2uF6uChESeFJ1Yu3bx5GnJwHlXIrVl7tLF4qZQM4joxNQi1kLt+3yH1n95EcE4Z8lCSELPSXFVhTT62lXoINdIss3Ny1e1Nuv88RNa9TVn6SIkxGySksoy1M8FpRfzofTCui4m8JB1Biu6kLiyH8lDO5FAROFpoIox7svrUJA6gwSa7e9+ILxecWUFrvG0TJ8/d8hEJBWeWlpUljny1T6IRA5NXFr1PGrQcrNVeuE9RdGnXeWdT7SmjiIYJSIm/DAJiAk3nYFe/c46LBfkJsoylHK62zo00YrMAqjqmrFwPhKEXsEYy1HL1qa8KJ5xXZJ8Iflm5y6VZXo6u2QsknpY5TUJok8AGlUXBC9KXqzMS0HKUrYjXdOKWusb5UvUdDFBSMe2BMlZELG49hR3eG+xWoxJQzcuYt2RUnTh+ElNQlqKSjWmFLECbrB1D4X6pbuzE2u+GwLadk0Tmnl7HvmoMaPwwxozJkENLQhV4x7p0DmnYl8mcuU5MlXO+gKCEBOtOA6KVzp+nJuCExOQeJ+M9DbaKUK9fRnS2F4qwZDzgYfO+9AEoQfGaCcwAsMiYILQsDDZTkbACBgBI2AEEprAYILQz54qlw2zCxN67DY4I2AEHg0CsR8IxDtqE4TiJWb7GwEjYASMgBEYXQL3Iwh98skn8uMf/1g2bdokTBKyzQgYgceHQOz7AROEHp+1t5nGEBjparHI6YcjCFHSoGDCFJpTB4+olFJ3vUZyC/OlDyJLX0+vTJ4zS9NbqsaPk66QR0UOigqXTp2RLW/+Vm5AmikoLpYXfvZTFVI6Qr2QOFqRdpIFSSRHulAX9RmqmU7sP6hDW46qsKUb16IqDNVjqAgLSPCuD/Ep8vCrD3Vb2z+AuLRzt45n3vKlsgbpMIXlpSrwUBYpRKLKUIJQOnpQQ/iHF6GEQ3GjE8kulIOYIMMKNT9qzMZDLKHwwwoovyOkggVFC3KshIhC0ekgKtIolTBdiaITE2e4fxDn90PcoegSLSRQpOI8kvAg+TKt59a161JSValJRTMg4/SKT1g3xbqtEiYVoWos1OeXAxBL9mz5XKUqspoPMYoCUwEEFgotAQgvlF5Y0ubA+vGrA6x3b/kMotdXSDjquUsQovDE+TAVJ4iUnr2fbdeEH67zzIVPytqXnxem0bCGLDKfyP3E70zg4XyC/oCyYMoRa+mYPLT+tZfAZKrKKZSxKPA4/P1IQ9qrzFobm7QCbMn6tTJ/xRLJyM5SwYmSEzeKYuTFc/Pe2vXJFghq51H7lq6pOyuRvuNIT1VRphGpQOkQiaogOuVA+Ll6/oLWvl2CuEVZiyLOMkg8pZhLkiPMiqKWg9fQ+6pXTnxzUL7a/Jk01N6SorJSeQqC0/wVyzTdh5w4Lq67wy9ydN/Xen7Wto3Hem/AXCdgrlwDfz81pOhVF51HCurH+oP9cubIMa0mq7txU8rHVENye1FmYXxdkHfCNWbhpK3BE4TCghDvEd7ETL+qQNJUki+IORzSe6oF92Mh5rASgteTK5dr0hRfG+QU4auQR+CP0RaEuj1Z0tBWPgIjtVMYASPwMAmYIPQwadu1jIARMAJGwAiMDoHBBKGfLiuTZ+cVjc5F7axGwAg8VgRiPxCId/ImCMVLzPY3AkbACBgBIzC6BOIVhJga9POf/1yqqqpk586dkot2DtuMgBF4fAjEvh8wQejxWXubaQyBka4Wi5x+OIIQBRiKJazd6oRc8imEn1MHDmtqC8/DOrBVL2zSaqi07AxNVslwpEoWpIzBBKFAUgjpKB1IaUnTlJpzR0+oeFRz5SrklmJ55sevCcUYX3JIWK3VA1GCgk1ko/DC8xdBhHAnueTY1weQiPOR1EOwKEPF1NO/86pMmT1LelCmdBM1Tdy3FKkqXS3tsvlXb2qiCmUQykTzli/RxBeH04k5+aWzvV1ryziW2qvXVb7RyijUS1EomQIZypXmhljRoZIT5QpWmDFJpgtSEeuoWMcVDAaUyVMQirIL8rS+rBUsKYtENs6D4y9AAg3H2FLXINshCJ2EKMXxLIMotRzXTM3JDEsvEDrCqUuFkF4ypKWhUfZt2yHH9uzXJJocSEKUkShsUdaiNMTKJ47f4+mVFiTiMNXp9OEj0nizTuu2KBQxFSi3uFDn04ZUnBJXntZU3cL8OZ8zh4+iKitdViA5aSnkneQ0VDyhmqsj2KOiUPR8OD6uC++Bq+cu3k53Og0G+bLq+U2ycNVKCbrCNWiUyHIxDwo4X336mRzff0ACELGKUUk29Yk5EGym4OcySc/MVDkoADGos61drl+8JCcPHpJrOL/f55WxU6aoFDZp1nTpDoWlmo5Aj7iSnToXymH+3j6VvVgDxlo2pk1R4JqG67A6jKwoIHn7vNIGoYlS2MmDh5GcdAUpVk6k7yxAhd4mTTZiLRmrz1jZxnO3IgWJstKhXV9pWhKZrn3peUnHurVjHEwaumvdkVRU4MzGOdKRgnUL9+8nOr7U9DRZtG61rMJ940x3o8YsXH/Garl7C0KNuh7pYF8BwSsf52fKF4U1JjklJSeD62xZj5StsrFVms5EAakL4tlIbqNZM+b1p0pLZ5F4vOkjOWQ7lxEwAg+BgAlCDwGyXcIIGAEjYASMwCgT+HdvXZRrjZ67rvKjxaXy0oLiux63B4yAETAC8RKI/UAg3uNNEIqXmO1vBIyAETACRmB0CQxXEAqFQvLXf/3X8stf/lJWr14t//Iv/yJ5eXmjOzg7uxEwAglHIPb9gAlCCbdENqD7JRDw9oqnvV76OvCBvrcHKSJBfHiPlJ7UDMggxZKWUyJONz4Ah7AwGtVikXEPJghRztn4+iuaZlLHhBH8HzNTeFz9DggpO5GqslVam5r1NJXjx6rQM3HGdOkTv9T725BAk6lfl06dRYLQO0gQuvydBKFkR7JWermQoyJIOdkNOeRrnJfyx8wF81RgKB87RmWjOl+LVmXB57mzsRaINWBMb2G9U3NtvWx9611NYklJSdGUlMVrV0sqhKVb3hbURjkxfiYVfSsI8V82KCOxLsrtTg0n7kAQYtVXV3sHvndCPvGLy50iYyZO0Eo1ykHujDSVPjgu1lKx7op1XJRFWCu2DXVclEvyigo1MecJ1FJRdKr1NaskFIqeCOZB+YopSqxBS4Y7xMosyjJkweutR5pMNQSWFkgpPAeTdwohI3H/FKxH3Y0aVIbtgrR1SHpQV+WGsMVrl6CaLLegQIUVSjScVxvWrBVSEX9m7RdlIkpI/B5yJoFVs6Y1MT0oFWlIYfHqE8hEtVKFujfWt1Ew6UICVC24UiyJnY8L93EpEo5Yc+Xp6NLaONbHhQJBeWLZYtSHPScFZcVCyYbSDCWZ5KBA+rmMGrAv5Twqury9HpWC8ouLkHpTIlk5ObflnT7pgIRFwYdJPX5UixWWlmh60LwVSyUFa9MIcYdr4w8F9BiuD9N0KFR1oFLtCOQtVnpRrkrB2pIRa8lyITAlQ6Dpw7XbcG4m7lAWS8L6KCeIWkxBCjr6VdbqC/m1Hi8rOQ3rfkbX/TrWvai8TOvx5mM8fD3UYiyUrmI5MZGL9yRZaxoUqvtYB+ZBUtPk2TP13qmcME7TljrBuQicKAgd2r0Hr6l3pbe7WybNmiHP/vR1KR8XSRAKC0LJODflIE03wj11+tBRrYmjiMV7Y/kz62XxmtWS5HYgZasdYljLd0SvOy+0B/hhtFKEejyZmh4ULj58gAHaoUbACDx0AiYIPXTkdkEjYASMgBEwAiNO4Be/Oi+1rd67zks5iJKQbUbACBiBByUQ+4FAvOczQSheYra/ETACRsAIGIHRJTAcQaitrU3eeOMN2bVrl/ziF7+Qf/tv/y3+w218fmibETACjx2B2PcDJgg9drfAD2/CvS210lF7TrzdEBg8XRLo64Y44Zd+pNAwvSTZmQJJKFO/HPg5LbdIKie7xJ2LfWIqikaCTrQgxJSRPVu3abXW7MULVVAoraxQKcUT9EFiyZUsZxoSVa5ChvhQWNXkcDllARJhWAmWhwSaSLIK03Qo7lw9e0G2vv2uUJzIhZjwwu+FK8Z80FC4pSQ5pb6mVr74aLOcO3ocSTdBCCTPypJ1a8Sdla71SkxqGagCibyYdFMGwSI50K9j34vxd3V0yswn58m6V16QMtQ1tfg79VoUeLopCP36LSQIHZRQMITxuyDKJOvz/IOpQpSPHE6XpKalSj5q0cahVmzizGlSAWHJjXQXJtOwHo3SBtckMoYkfwgJMntU7qGIQ7ln7csv3JZ7OuWmr0k8wbv/IpXXzUR6UBVkJ5WMIFVtp2R07oIUQH5ZgySaJ5YsFL+zX3kwjcYFbsWYezEEE0cwSRpv3ZJTkEDOHT0GeaZBU3WSKZxhfuQUQk0b2fZDiqLwxKShcVOnoMbqSamChOJMdWvKDVOdsm+nLXW3dai0xcq0XghFc5G0xLFQqGq4LeH4IMnEbrweq8OYeJMmKVpxtROpSA2QjKonT5R1YEI2rKLj2jBFiKJMvy8g9djnLO6DiydOqwTk8/ZB2nFomhLXJQiRjl+8BmvCSiFBzcYcps17QhOAuiBsUaLqRLIR15IbBSze57xP0pNSVDC6cPKUnD1yXG5dvyHdHR3YF9VouJd5Xp6fnJwQzSgmjcWY50DyqoYg5UhN0TE3QoLjmlHA8fd45ejer7Hun0t7S4vKPawXq4A4x9cDa7/6QgOvexbSgyiXZUNiunz6nHz+zvuaikRhiWlFc5ctEW9SACKWBwle7rAg9NVeleFY+UaOG5GWVTamUhp9HbhWWBDivFMdbpWPKJ8x4YhVcYdR5UZZbBIEpHVYS0pfnYFeqcG92YXvI7mNhiDkC6RIW1ehsGLMNiNgBB49AiYIPXprZiM2AkbACBgBIxBL4F/98zlp7PDFPqz1YqwZs80IGAEj8KAEYj8QiPd8JgjFS8z2NwJGwAgYASMwugTuJQh1dXXJpk2b5OLFi/LrX/9a1qxZM7oDsrMbASOQ0ARi3w+YIJTQy2WDG4pAoA81Q9eOSVf9ZU0Nam6sk2vXrklDQwOqnzwqMzidTu3SrK6ulvLycqSbuCFzpEt6Xqpkl2ZK8aRSSc1KHeoycT+XA5Gj2l2sdVCXT59F0sgRFWwmzZwu05EilJmThaSYZlRJ9WoiUKEzLHKcOXJMLp85p2k1M5D4UzVurAScouktnRBoKGNQEGprbJaTSLZh9VdWXq7WeVHq6IEo40pyINnHJc1IgzmH1JgGiEIUjp5YChljwnjpRT3YDcgVFHHU4BhgdhQsqlKKJRviUt31GlQ0HUAyTJOUo2Zs9uIFUoiEIAoQAdSTZaJ2iUktx/Z9I1fOnocghNgaCCEUTyJbEmShtPR0yS0s0K88fM8rLJTM7EwJJSepeNKIxBUm51BaonxSAcGjJCVXQv4gzntOzh87KX2ePhVFpkDEcGWkInGmGQJH+6ApLU4kHDFJpgRiVV9XL2SfwyqKuCEpTYf8QpknKcWhsgmFqRDEJIo1FLGY7OQMJWvFGGUrJgrV19yUZtSJ9XZ36b3lcqWo3JSHtBwmC5VWVUoJarwoCiU5kzURqQHSCxN9yl0FUpSCtCWIVqyIu3bhkgRR+zV17hyZCiGF68x7ojlAsSYq1ikCEd9TIbOwdo1ja29qkRP7D8rNK1chXBVBSpovlag/8/T79DweJCJFhDJHKAnz6NKKt5tXr+k8mBTU24MqM9SL0RjPzs3RxJ+Sykopw1yY2JOWkSG9kHAaIG5RoAr0Y22jNlaN5UMSoszFCjQvXnOtuDcpCF2/cBHXq9MKNhWDIFUxVahi3Fgpq67SijPeB6KcunGNNvH2+zUhqRxJSV6s9VUIcBTm+nBe1pbNXDBfklNdWg9GmSyEe2Wgjfc/K8rKkLbUg7QlJv1cwuswKydbpacJ06dIADdoD2rT+HrJSHJr0tKxfftRhdYHaWmCJm5lYH8mJ1FGCt6eO1OEmORV6S6SlGAy5lqjr++WxiZNzpq96EmV3siNNXwtkMNGchuNmrGevkxpbCsDz2+lvpEcs53LCBiB0SVggtDo8rWzGwEjYASMgBF4GAT+2384K209d/+HIhtmF8jPnqp4GEOwaxgBI/ADJxD7gUC80zVBKF5itr8RMAJGwAgYgdElcC9B6I/+6I/kN7/5jWzfvl0WLFgwuoOxsxsBI5DwBGLfD5gglPBLZgMciEBfZ5O0XD6syUG3aq7KqZMn5RYSXxiZ142aID/kC26sN+JNn5ubq72a06ZNk/Hjx+tjLsgGWcXZUj6rSr8nQ1YZiS0DySVjIAhlQ7TxelBDhYqqQCCg9U7pmRnSj+swlYQVSRQrKH1k4RjWIDFVhjVVmZATXEhbYfoMJRNWYJUjPYaJQ+gmQ51Vl0oUzhQXRJvwvkzhYXpQmiNFa7x4Pp/Xqwz0fEi5oYhRB7mC5xtscyJdhvVRFEz6AyGkwXSqOMF0mczsLHFB9mgLdIsPQkc2KqZSk1wq0vR2I/1nAGmDCTJM3aGYw6ouSluhpH5UnPkg0aCiC4kwFCoiwgclDMpQpRA8nKhLYz0Vq58ommTg+pSNuiF3UNyITrWJnQ+vy5QbJtKkQQLhOXq7eyQZj6dnZSLNKA1lVaFwolKgXcUcTdGBYMKKLsovXB8MTMdA5jze20f5LJyOwzXieXg+jivZifEiAagda0uppifYJ05IKMoTwhNr7zw9HpVeKAJlZOEaGel6L1Ao6UGqzWAbuXD9K8DGCZmjB9IPJR+OgeuSgsSiXkhiTK7pAFcKRZwDGaQj+aYf942nN3yPkSnvjUAwoPdHWlo62GbqPUqJjuvTjbE34f5rD3ZLANViA22UhHIcmSotsXbMKcng49UEIfJinRznyXua8+S9mo7vlNa84MT7qBmJR71YT64LZSNKXcn9ScrIg/kxlYqvm3Sw0jQjrDvvm8G2yLpXQeJJFZeuGVnxmumZXKc0lZE6ILmxJo/JTD6IQZS3KLhxnNwvmNyvqVasVouuMmMNHwUkimeseOO5KTFF1oH3ONndxDj5Gh/pbSRThAJBl7R350lHj3UOj/Q62fmMwMMiYILQwyJt1zECRsAIGAEjMHoEfv5fTkt333f/gwxebfWMfPnDNZWjd2E7sxEwAo8NgdgPBOKduAlC8RKz/Y2AETACRsAIjC6BoQShpqYmmThxorz88svyT//0T6M7EDu7ETACjwSB2PcDJgg9Estmg4wm4O1uk8Zze6UTtWInjh2Wk5CDbty4oalB0fvF/kxZqBDJNZMnT5b58+erNESZILMoS6rnjZXsslzIEg8uCTEBpxhyC+uqKM/gEne2AAQapvfc8rYgwcQD/YX7IrEGKUJMr6EkwY1CAgUapuRQhmC6DUWGUqSrUCbiNbixjouyCgULyj8UNii3RJ+L+zGZh3IF5aAuVEVFCw98PnojE4o/FHSyUPnEa0WmwGsx6aUe1/JA6im4LaBQKorsE30u/sw8HEoiQcyCaToUaHohUHRjPBSD+Fh0ag6vz+tSEmJNFMWYyLk5bl6f4gpTf/yDiCuRMbgh+3AdWLdFGSRyHj7PRBwKKpxLtJjD61PqyUxOU8mLtVdpWJsIBzLgrLgf/+EacF0pvFAI6oBQw7n5bs+La5oLTpRKMpJTcZ5vR8H5hFN62lQoiiTV8AoDbelIbOJ5mGLDMUbOxCGRRXOgE6lKbWDs0/GxNo3XZM0aBZ5U8AgfFx4356LnwJg4Dx/Oweou3isduE8oHN1rTA6Mg3x4/hzcNxkYI+/DcI4ULsDBhS+izCmnMe2KiVH84npy/b9d93yse/i+izAgJ943FOZ03cF2qI0STzgJ6u5193Pd/d3SAlZ8nfA+53duEZ76OmXtHeQ8pndFb9+O8+77k1MlQ56byUu8J0Z6G0lBqLcvQ5raSyGAIcLKNiNgBB5JAiYIPZLLZoM2AkbACBgBI/AdAv/1/31KvKjXjt2WT82TP15fFfuw/W4EjIARiJtA7AcC8Z7ABKF4idn+RsAIGAEjYARGl8BQgtCePXtk48aNMm/ePFm8ePGgA/nzP/9zycnJGfR5e8IIGIEfDoHY9wMmCP1w1vaxmEkIiSf1p76Qtusn5Oihb+TAgQNSX18vQVZbDXPLQHUSk4SWLFki+fn5elRWSbaMWzxRsgqzhnmWoXdjzRFFHooK3+otkDggNlAioVxDaYcb96XEQUkhIv5QXqEgRHElUu1EsYNJMExGyUE6UQskB54rLJmEhRvKNBQ09Fy4cmTjdSl7UCSKXDfy3EDfOQ7KKOkYV7SIQlGJ8gkFGI6LwkkGRJqwfBPRK757RkoTTAfyo5SMEgsFDY6Hx0eLQdFHfXt99x2hhc9TMqJgwoSWWLEo+vjIz5Q5UiBphdcCstYdBQQih66FRzlH0osix/E7WWplG44nT35xnhRiOFNyJ0uOw4tqLwosPn7h99jzkSHXhYlEkeN5DR5PQYjrci/ZiftzTBwH75do5pR7vGDLdeFYormG5+HEvYgUp9tzoThExpSXOA+uBUUdri2lFqZDDbU+HEv0Rs6U3Xgvp2OOvE9duFZYhoJ8hGuQE+9p3vvkxN9j70Vdd8yN9170fcf9ODbWglHACVtH0SP47s8cD+fLe5P3aGTdeS/yuuTE83EtKIIxdeu7r1MkA2Gf6Ndp9BU4zjSMk2saPU6+Pjg33p+x6xB9/IP8PJI1Y92eLGloK3+Q4dixRsAIfM8ETBD6nhfALm8EjIARMAJGYAQIvPF/nMD7srtPtGhijvzpM2PufsIeMQJGwAjESSD2A4E4DxcThOIlZvsbASNgBIyAERhdAkMJQu+995688cYb9xzAhQsXpKLCKo3vCcp2MAI/AAKx7wdMEPoBLOrjNIXWa8el8eweOXvikOzatUtrxeKRgyKs0lALtWjRIjVoWZnlQlVX2dQKqZxTLWnZaZHdHug7xQwKGBE5gSejOEKJIFrg4OMRwYLfuVHa0D3xPXrj85PSylXeqPchQQeyA89FcSZyTl6T1x7OdaPPHfszr4UZ6Bwiz/EaHBfHF9l0nrza7bFHHo985548jv9w7vgl8tSQ38PXD/OLnHug6w95kttPDjTGwdbi7vORJwQYMKUEw3Nx0/nc5kGBRWc4xNwiPPk9olJxPtFrd/e1734kfDzX5lvmYS7gq9cfmG/kuMg8Ir9H5hHESHQeQ8zh7tHc/Qj5OPHF77dX7zarkN63A93/0WfhuMJz45/h7b7WHQfr/RvFiWeLXfeB742BX3+3h6PfBhwnZqqvXdwPo7mNRIqQ1++W1s4i6fVmjOZQ7dxGwAiMMgEThEYZsJ3eCBgBI2AEjMAoEwjCDPq9/3xywKvMG5ct//q5sQM+Zw8aASNgBOIhEPuBQDzHcl8ThOIlZvsbASNgBIyAETACRsAIGIHEIRD7fsAEocRZGxvJPQgEfR6pOfSJNF07JZ9u/kTOnj0rfv/9V/jk5ubKs88+K9XV1Xrl1Iw0mbR8iuSPLRyRqrF7TOe+n85ypmmKymjUF933oOxAI2AERp2Ay+GSNLz+mXzEnx9k6/FkanoQyt0e5DR2rBEwAt8zAROEvucFsMsbASNgBIyAEXhAAn2oFvsDVIwNtM2qzpR/8+L4gZ6yx4yAETACcRGI/UAgroOxswlC8RKz/Y2AETACRsAIGAEjYASMQOIQiH0/YIJQ4qyNjeQeBNprTkvD6V1yYO8Xmh7U1tZ2jyPu/TQ7OJcvXy6BQEAyMzOlasYYqZ43RtJy0u99sO1hBIyAEXgIBEZSDOJw/YEUaevKly6P9Qs/hOWzSxiBUSVggtCo4rWTGwEjYASMgBEYdQJdnoD80d+fGfA6U8sz5C9enTDgc/agETACRiAeArEfCMRzLPc1QSheYra/ETACRsAIGAEjYASMgBFIHAKx7wdMEEqctbGR3IMA04Paa07Ju799W86cOSP3Uy0WewlKQS+//LIUFBSI2+2WzJxMmbx6uuRV5MXuar8bASNgBB4qgZEWgyKD7+nLlKb2UgmGHJGH7LsRMAKPKAEThB7RhbNhGwEjYASMgBG4TaCl2y9/+o9nB+QxviRN/qfXJw34nD1oBIyAEYiHQOwHAvEcy31NEIqXmO1vBIyAETACRsAIGAEjYAQSh0Ds+wEThBJnbWwkQxDoD4Xk2r63pP7yCXnnnXfk2rVrQ+wd31OvvvqqTJkyRTo7OyUjI0NmbXxCCscXJ3TNWHwztL2NgBF4VAhEpCCO15GMKrHkB6sSG2je3Z4srRcb6Dl7zAgYgUeLgAlCj9Z62WiNgBEwAkbACMQSaOjwyn//z+djH9bfqwpT5X/5yeQBn7MHjYARMALxEIj9QCCeY7mvCULxErP9jYARMAJGwAgYASNgBIxA4hCIfT9gglDirI2NZAgCAW+vXN//rpw/ulc+/fRTqaurG2Lv+J7asGGDzJ07V65fvy7FxcUyZ91cKZ1WLi73yH8wH9/IbG8jYAQeFwIRMWi0pKAIR68vVZo7i6TPZzWKESb23Qg8ygRMEHqUV8/GbgSMgBEwAkZApKalT/7Nry8MiKI01y1/88aUAZ+zB42AETAC8RCI/UAgnmO5rwlC8RKz/Y2AETACRsAIGAEjYASMQOIQiH0/YIJQ4qyNjWQIAr6edqk5+KEc3bdDtm/fLk1NTUPsHd9TK1askIULF8r58+elsrJSnlg9TypmVYk70x3fiWxvI2AEjMB9EKAclJmSOSppQbHDsfSgWCL2uxF4tAmYIPRor5+N3ggYASNgBIzAlUaP/MVbFwcEUZDlkr/7r6YN+Jw9aASMgBGIh0DsBwLxHMt9TRCKl5jtbwSMgBEwAkbACBgBI2AEEodA7PsBE4QSZ21sJEMQ8Pd2yI0DH8rx/Ttl27Zt0tjYOMTe8T311FNPyYIFC+T06dNSVVWlglDlnGpJzUyN70S2txEwAkbgPgikOlMl2519H0fGd4jP75bWrkLp6cuM70Db2wgYgYQlYIJQwi6NDcwIGAEjYASMwLAInK/rkb9+5/KA+2anO+X/+oPpAz5nDxoBI2AE4iEQ+4FAPMdyXxOE4iVm+xsBI2AEjIARMAJGwAgYgcQhEPt+wAShxFkbG8kQBEJ+r1z7+h25cuob+eijj6S2tnaIveN7atOmTTJnzhw5c+aMlJeXy9x186V8RqWkpKfEdyLb2wgYASNwHwQeliDU48mUxvYyCfUn38co7RAjYAQSkYAJQom4KjYmI2AEjIARMALDJ3Cqplv+4wdXBjwgLSVZ/v7nMwd8zh40AkbACMRDIPYDgXiO5b4mCMVLzPY3AkbACBgBI2AEjIARMAKJQyD2/YAJQomzNjaSoQj098vVfW9Ly/Uz8tZbb8qVKwP/BdpQpxjouaSkJHnttddk4sSJUldXJ/n5+TJn4zwpnlQiDqdjoEPsMSNgBIzAiBJ4GIKQP+CS9u586ezNHdGx28mMgBH4fgmYIPT98rerGwEjYASMgBF4UAJHr3XKf/r42oCncTqS5P/9k1kDPmcPGgEjYATiIRD7gUA8x3JfE4TiJWb7GwEjYASMgBEwAkbACBiBxCEQ+37ABKHEWRsbyT0I1J3YIa1Xj8rHH74nJ06cEK/Xe48j7v10SUmJPPvss7pjWlqa5EEQmr5+phSMKRK4Q7YZASNgBEadwMMQhHr7MpAeVCrBkHPU52MXMAJG4OERMEHo4bG2KxkBI2AEjIARGA0CBy51yP++5fqgp/7//rvZYn81MSgee8IIGIFhEoj9QGCYh93ZzQShOyjsByNgBIyAETACRsAIGAEj8MgRiH0/YILQI7eEj++Ae1puyq2jW+X8iQOyZcsWqa+vf2AYa9askfnz58ulS5e0XmzMlLEyfukkyS7OfuBz2wmMgBEwAsMh8DAEoW5PljS0lQ9nOLaPETACjxABE4QeocWyoRoBI2AEjIARGIDA3vPt8n9+fmOAZ8IP/eMfz5QUp1UEDwrInjACRmBYBGI/EBjWQVE7mSAUBcN+NAJGwAgYASNgBIyAETACjxiB2PcDJgg9Ygv4OA83FAxILQShlmsn5Isd2+TIkSPS29t730iqq6tlw4YN4na7xefzab3Y5OXTpHRqmbjcrvs+rx1oBIyAEYiHwGgLQl5fqrR0FonHlx7PsGxfI2AEHgECJgg9AotkQzQCRsAIGAEjMASBL8+0yn/ZcXPQPf6f/2aGZLit/nxQQPaEETACwyIQ+4HAsA6K2skEoSgY9qMRMAJGwAgYASNgBIyAEXjECMS+HzBB6BFbwMd9uL0ttVJ7bKvUXj4tO3fulAsXLojf748bSz6qxFatWiWTJk2StrY2yc7OlpKxpTJu0UTJLrH0oLiB2gGPLYGAPyCe9l7pbesVv8cv/f394nQ7JS0nTdLzMiQlLeWxZTPciY+2IMT0oMa2Mum3coLhLontZwQeGQImCD0yS2UDNQJGwAgYASMwIIFtJ1rkn3bVDvgcH/zPfzBdctOtJnhQQPaEETACwyIQ+4HAsA6K2skEoSgY9qMRMAJGwAgYASNgBIyAEXjECMS+HzBB6BFbwMd9uP2hkLRdPyGN5/bI9UtnZd++fXLx4kXxer3DRlNUVCSLFi2S6dOn63FJSUmSW5Ar4yEHFU4oEafL/uu8YcO0HR9LAv2YdW9rN9K8mqWnrUfFIL/HJ6FAEIKQSDIi8JnC5UpPkdSsVMmrzJecslxJdlg0fuwN43K4JDMlU1zJo5Na5g+4pK27QLp6c2Ivbb8bASPwAyBggtAPYBFtCkbACBgBI/BYE/j0aJP8ak/doAz+t59NlaJs+48uBgVkTxgBIzAsArEfCAzroKidTBCKgmE/GgEjYASMgBEwAkbACBiBR4xA7PsBE4QesQW04YoEfR5IQiel+eI3cvPaRTl//rwcO3ZMk4CYXjLY5nQ6ZcqUKTJz5kwZM2aMUAwKBAKSkZUh1XPHabWYpZ0MRs8eNwJhAt4erzRfbZLWGy2QhHqkrblVampqpKGhQXp6ejRBiP9HU1BQIFVVVVJcUizp+ZmSW54rheOLJbMg01BGERjt9KDevgxpbC+VYMj+q+Mo7PajEfjBEDBB6AezlDYRI2AEjIAReEwJfHioUd7+un7Q2f/yd6dIeZ570OftCSNgBIzAcAjEfiAwnGOi9zFBKJqG/WwEjIARMAJGwAgYASNgBB4tArHvB0wQerTWz0Z7m0DA2yNd9VcgCe2XllvXpK7uFr7q5Pr16yoq9Pb2qqjgcrkkNzdXqqurpby8XCoqKiQnJ0f4eDAYlNTMVCmfUSklk8skBWknthkBIzA4gZ6Wbqk/XydtkINqr9fKmTNnpLa2Vtrb26Wrq0vr/rRiDDJeRkaGvtZKSkpk6tSpMn7SeMkpzZXSaeWaKDT4VR6vZ0ZbEGK9WENb+eMF1WZrBB4jAiYIPUaLbVM1AkbACBiBHySBd/bXy/sHGwed2//8k0kypjBt0OftCSNgBIzAcAjEfiAwnGOi9zFBKJqG/WwEjIARMAJGwAgYASNgBB4tArHvB0wQerTWz0YbRSAU8EtJ8LLcqDkuNy7VSEdzu6YIRYsKDodD0tLSVBLKysoS/k6BISkZtWIV+Ug0KZL8qgJxpY5OvU/UcO1HI/BIE+iGHFR3ulaarjTI+bPn5fDhwyoHMTVoqM3tdgtr/WbNmiWz58yWkrGlUj6rCq+7/KEOe2yeM0HosVlqm6gRGBUCJgiNClY7qREwAkbACBiBh0bgN3vr5JMjTYNe73/80USZWJo+6PP2hBEwAkZgOARiPxAYzjHR+5ggFE3DfjYCRsAIGAEjMDoEgv4OufnNH47OyeM4a2bpWimY+EdxHGG7GgEjkOgEYt8PmCCU6Ctm4xuQQDIeHZPdK053rdR1IMGkpUP6ujzS1dglXQ2d4uv1SigYuutYpgRlI8UkuyxHsoqyJS0nXRxOns02I2AEBiPAWrG6M7Vy6/RNOXXilOzdu1eTukKhu19jg52DSV7z58+X+U/Ol4rJlVI5p1qyirMH2/2xeXw0BSGv3y2tnUXS6814bHjaRI3A40bABKHHbcVtvkbACBgBI/BDI/DPu2/JZ8ebB53Wn78yQaZV2L/PDwrInjACRmBYBGI/EBjWQVE7mSAUBcN+NAJGwAgYASMwSgSCvna5vvd3Runswz9tVvnTUjTlXw3/ANvTCBiBhCcQ+37ABKGEXzIbYCwBZ3K/jMnySHJKrbQGmsUXCuguQQhBvu4+6ev2StAX0KSgfjymiUFJyZoa5EhxSGpWGr5SJdlhYlAsW/vdCMQS6McDTRfr5cbha3L6+Gn58ssv5datW/q6it33Xr9TElq6dKksXLxQKmZWScWcKnG6nPc67Af9/GgKQj2eTGloL8daJf2gGdrkjMDjTMAEocd59W3uRsAIGAEj8EMg8Pc7b8oXp1sHncr/8OI4mV2dNejz9oQRMAJGYDgEYj8QGM4x0fuYIBRNw342AkbACBgBIzA6BEwQGh2udlYjYAT+f/buA86JKvED+C/JZntlYWHpXXoHxaNbOPU8G4InYENERQUVsSKKiqAncjYUVBRPPVE8Fc6CCCgICJY/sLSlLUtdWNje23/e4EIyySSZZVIm+eXzudvkzZs3b74vLjuZX94DlNcDDAjxXWEogVbxJUiIqEBSRCX2lB5AbkWhy/6LcBBEwkG6P24y8Sa5SyxupIATgaKcIhz84wB2bdqBtWvXYuvWrdAyc5CyyaZNm2Lw4MHofn4PNOvRAskt6yurhNRrbwaECkvikJXTOKQ8ebIUCDUBBoRCbcR5vhSgAAUoEGwC874/iLU7c1RP64ErWqJ3a868qgrEDRSggEcCyhsCHu1kU4kBIRsMPqUABShAAQp4SYABIS/BslkKUIABIb4HjCsQaalGt/oFqBdZgUNlJ3G07NSZ2YOMe1bsOQUCWyAr/SgObNqPjes3YuXKlSgsdB3Kc3c2VqsVffv2xdCLhqFFj5Zo0buVPLuXu/2Cdbu3AkIVleHIKUhGQQlvJgTre4fnRQEhwIAQ3wcUoAAFKEABYwu88u0B/LI7T/Uk7v1rc1zQLlF1OzdQgAIU8ESAASFPlFiHAhSgAAUo4F8BBoT868+jUyCYBZTXA5xBKJhHO8jOrV1iEZrFleF4xQmGg4JsbHk6gSlQVVGFQ5szsfPn7VizZg02btyoS0dbtWqFoUOHovuAnmjRpxWiE6N1adeIjXgrIFRUGosTuY1QVW0xIgv7TAEKeCjAgJCHUKxGAQpQgAIUCFCBl5Zl4Pf9+aq9u/OSZhjYIUl1OzdQgAIU8ERAeUPAk31s63AGIVsNPqcABShAAQp4R4ABIe+4slUKUIBLjPE9YGCB3in5aBBVjm1FB90uLWbg02TXKRAwAsW5p5cX2/TDRqxevRqZmZm69C02NhYDBgzA0L8OQ9MezdGgdYou7RqxEW8FhLi8mBHfDewzBbQLMCCk3Yx7UIACFKAABQJJYNaX+7A1U32W1nFDm2BYl+RA6jL7QgEKGFCAASEDDhq7TAEKUIACISfAgFDIDTlPmAI+E1BeD3AGIZ/R80DnImCSdu6Vkocy8zHOHnQukNyXAhoEcg/nIPP3DKxZ/hNWrVqF/Hz1b7ZqaBZmsxn9+/fHX/92GZp0bYam3Zpp2T1o6lotVsSGx8Jqtup6TpVVVuQWJiGviN801hWWjVEgAAUYEArAQWGXKEABClCAAhoEnvl8L3YeLlLd46ZBjTG8e33V7dxAAQpQwBMB5Q0BT/axrcMZhGw1+JwCFKAABSjgHQEGhLzjylYpQAHOIMT3gEEFWscXo3l8KfaWHuDsQQYdQ3bbeAInM7KR+dt+rF6+GitXrkRZWZluJyEHhC7/qxwQat6rpW7tGqkhb80eVFIWLS0v1hAVVeFG4mBfKUCBOggwIFQHNO5CAQpQgAIUCCCBJxfvwd6sYtUe/eMvqfhbrwaq27mBAhSggCcCDAh5osQ6FKAABShAAf8KMCDkX38enQLBLKC8HuAMQsE82kF0bmJ5sTLzUc4eFERjylMJfIGTB0RAKAM/SgGhH374gQEhnYfMWwEhsbzY8ZxU1EDMvcYHBSgQzAIMCAXz6PLcKEABClAgFAQe/Tgdmdmlqqc64vyGuKZfQ9Xt3EABClDAEwHlDQFP9rGtwxmEbDX4nAIUoAAFKOAdAQaEvOPKVilAAc4gxPeAQQUaJexDhTkL5dWVBj0DdpsCxhPIPZqLg9ISY2uXr5FnEMrLy9PlJCwWy+klxq6QZhCSlhcTy4yF4sObAaGsnMahSMpzpkDICTAgFHJDzhOmAAUoQIEgE5jy7104mqM+U+tVfVIwsn+jIDtrng4FKOBrAQaEfC3O41GAAhSgAAW0CzAgpN2Me1CAAp4JKK8HOIOQZ26s5UcBszQJRmR0GixhOX7sBQ9NgdATKMkvwcE/DuD3Vb9i9erV2Ldvny4ICQkJGDBgAAYPH4JmPVoguWV9Xdo1WiPeCAiVV0QgpyAZhaVxRuNgfylAgToIMCBUBzTuQgEKUIACFAgggUnv7UB2QYVqjy7vWR+jBzD8rwrEDRSggEcCyhsCHu1kU4kzCNlg8CkFKEABClDASwIMCHkJls1SgAJQXg8wIMQ3RcALREQehDX8CEym8oDvKztIgWASqK6qxqHNmUhftxNr167FunXrdDm9du3aYdiwYehyYVe06NMakXGRurRrtEa8ERAqKonF8dxUVNeYjcbB/lKAAnUQYECoDmjchQIUoAAFKBBAAne/sx15xeozJV/SLRm3DG4SQD1mVyhAASMKKG8IaD0HBoS0irE+BShAAQpQQLsAA0LazbgHBSjgmYDyeoABIc/cWMuPAlExaQjj7EF+HAEeOpQFju/JwoFf9+PX9ZvkWYRycs5tJq/w8HD069cPQ4cNRfMeLdG8V0uYxDRhIfjwRkCosCQOXF4sBN9MPOWQFWBAKGSHnidOAQpQgAJBIjB+fhqKy6pVz2ZIp3oYf1FT1e3cQAEKUMATAeUNAU/2sa3DgJCtBp9TgAIUoIBWgdLSUjz33HO4+eab0bZtW6e7V1dXIy0tDT///DNKSkpwwQUXoG/fvrBarU7re6tQHH/9+vWYMmWK6iG81VcGhFTJuYECFDhHAeX1AANC5wjK3b0rYDJVICpmByyWPO8eiK1TgAJOBUoLSnHw/w5gz6/p8ixCv/76K2pqapzW9aSwTZs2GDp0KDr26oRmvVogsXGSJ7sFZR29A0KVVVbkFiYhryh0TYPyjcKTooALAQaEXOBwEwUoQAEKUMAAAre8sRUVVerXV385LxF3X9rcAGfCLlKAAoEsoLwhoLWvDAhpFWN9ClCAAhSoFfj+++/x0EMPYffu3fjhhx/k4E/tttqfFRUVuOWWW/DFF19I9wIt8v0HEcIR9xEWL14M8e+Qtx/ii9EzZ87EW2+9hcGDB2Pp0qVOD+nNvjIg5JSchRSggA4CyusBBoR0QGUT3hOIiMyQlhc7Ji0vVuG9g7BlClBAVUCEgU5mZCPzjwzs3pqOn376Sf5jXnUHFxsaNmyIv/zlL+jWsxuadmuOJl2awWK1uNgjuDfpHRAqKYtGdl4KyisjghuOZ0cBCpwRYEDoDAWfUIACFKAABQwpMPrVLS773a9tAiZd1sJlHW6kAAUo4E5AeUPAXX3ldgaElCJ8TQEKUIACrgSqqqrw4Ycf4t1338WmTZsg/h0SswipBYREOOjTTz/FtGnTMGHCBIhw0OzZs/H666/j6quvlttydbxz2bZr1y4sWLAAixYtgui36OewYcNUA0Le7CsDQucyktyXAhRwJaC8HmBAyJUWt/lVIDziIMIjjkjhoHK/9oMHp0CoC1SUVuDYjiM4uOUA9u3eJ0/zuW/fPk0zCYlwkFharFNnaeagTs2l2YNaIio+KqRp9Q4IieXFjuemSuMSmku2hfSbiScfsgIMCIXs0PPEKUABClAgCATEzEFiBiFXj54t4zDlylauqnAbBShAAbcCyhsCbndQVGBASAHClxSgAAUo4FIgLy8PjRs3Rnx8PKZOnYpTp05hzpw5TgNC+/fvR9euXTFy5Eg5UFTbsAgJDR8+HBs2bEB6ejpSU1NrN+n6U/RPBJEGDRokh5L69++vGhDydl8ZENJ1aNkYBShgI6C8HmBAyAaHTwNHgOGgwBkL9oQCQqC0sBRHtx/Bke0HcTjzMDZv3owdO3agsLDQJVB4eDhatWqFnj17okXLFmjcvima9WiO2PpxLvcL9o1WixWx1liIn3o9REAoK6exXs2xHQpQwAACDAgZYJDYRQpQgAIUoICKQHFZFcbP36ay9XRxl2axePTq1i7rcCMFKEABdwLKGwLu6iu3MyCkFOFrClCAAhRwJVBSUoL//Oc/GDFiBOLi4vDUU0/hxZQy4ggAAEAASURBVBdfdBoQmjFjhhzM+frrr+WlvWzbffvttzFp0iQ899xzmDx5su0m3Z6vWLECiYmJ6NOnD8TyYeK52gxC3u4rA0K6DSsbogAFFALK6wEGhBRAfOl/AROqERWzDZawXP93hj2gAAXOCIiQ0Ik9WTi++xiOZR7DkSNHcOjQIYjkvPgWQHn56dm+xDrB4tsBzZs3R4sWUihI+rZAoyapSGnTEI06NkZMvVhpZrAzzYbkE71nDxKIDAiF5FuJJx3iAgwIhfgbgKdPAQpQgAKGFsgtrsTEd7a7PIfzGsfgyevauKzDjRSgAAXcCShvCLirr9zOgJBShK8pQAEKUECLgKuA0NChQ7Ft2zYcPnwYVqv9l2n37t2Lbt26YdSoUXazC2k5tpa67gJC3u4rA0JaRot1KUABLQLK6wEGhLTosa5PBMIjMqWlxY5yaTGfaPMgFNAmUF5SjoLj+TiZkY1TmdnIyc6Rw0HFxcXyGr2iNZOU/hH/2CQlJSGpnvS/Jsmo36oBEhonhvyyYrXaegeEyisjkFOQLIeEao/BnxSgQPALMCAU/GPMM6QABShAgeAVOJFfjsnv73R5gq1SovDsqHYu63AjBShAAXcCyhsC7uortzMgpBThawpQgAIU0CLgKiDUsWNHORi0ZcsWhybFTET169fHkCFD8L///c9hu94F7gJC3u4rA0J6jyjbowAFagWU1wMMCNXK8GdACHBpsYAYBnaCAi4FqqtrUFZQgqJTRSjJLUbBiXyU5JWgsqwCNTWAxWpBZFwkYhvEISYpFlGJ0YiW/ifK+TgtoHdAqKg0FidyG6GqmsZ8j1EglAQYEAql0ea5UoACFKBAsAkcySnDQ//e5fK0miZHYvaN7V3W4UYKUIAC7gSUNwTc1VduZ0BIKcLXFKAABSigRcBVQKhevXro2rUrfvzxR6dNJicno02bNti4caPT7XoWugsIebuvDAjpOZpsiwIUsBVQXg8wIGSrw+d+FTCbyxAZvRMWS75f+8GDU4ACngmIMFBleQXKCstQUVqO6spqQCozWcywRoQhIjYC1shwmMwhvp6YE069A0JcXswJMosoEAICDAiFwCDzFClAAQpQIGgFDmSX4LGPd7s8v4aJ4ZgztoPLOtxIAQpQwJ2A8oaAu/rK7QwIKUX4mgIUoAAFtAioBYQKCgrQqFEjDBs2DEuXLnXaZPPmzZGQkICtW7c63a5noauAkC/6yoCQnqPJtihAAVsB5fUAA0K2OnzuV4GIyP2whmdJyxNV+LUfPDgFKEABbwswIORtYbZPgdAQYEAoNMaZZ0kBClCAAsEpsCerGNMX73F5cvVirXj11o4u63AjBShAAXcCyhsC7uortzMgpBThawpQgAIU0CKgFhCqrq5GYmIievfujVWrVjltUmzv06cPVqxY4XS7noWuAkK+6CsDQnqOJtuiAAVsBZTXAwwI2erwud8EuLSY3+h5YApQwA8CegaEKirDkVtYD/nFCX44Ex6SAhTwpwADQv7U57EpQAEKUIAC5yaw43Ahnv18n8tG4qIsePP2zi7rcCMFKEABdwLKGwLu6iu3MyCkFOFrClCAAhTQIqAWEBJtiOXDYmNjsXnzZocmi4qKkJKSgmuvvRYffPCBw3a9C1wFhMSxvN1XBoT0HlG2RwEK1AoorwcYEKqV4U+/CbSKL0aRJR0l1QV+6wMPTAEKUMCXAnoGhIpLY3AiryEqq6y+PAUeiwIUCAABBoQCYBDYBQpQgAIUoEAdBbZkFmD2l/td7h0ZbsY7E7q4rMONFKAABdwJKG8IuKuv3M6AkFKErylAAQpQQIuAq4DQgAEDsGvXLhw6dAgRERF2zYrQ0IUXXohJkyZh5syZdtu88cJdQMjbfWVAyBujyjYpQAEhoLweYECI7wu/ClhMNUhJ2I8yUxYqqiv92hcenAIUoICvBPQMCBWWxOF4TipqYPJV93kcClAgQAQYEAqQgWA3KEABClCAAnUQ+G1fPub8L8PlnhazCYsmdnVZhxspQAEKuBNQ3hBwV1+5nQEhpQhfU4ACFKCAFgFXAaHabZ9//jmGDx9u1+zs2bMxY8YMrF69Gn379rXb5o0X7gJC3u4rA0LeGFW2SQEKCAHl9QADQnxf+FUgMvIgwsKPwGQq92s/eHAKUIACvhKwWqyItcZC/NTjIQJCWTmN9WiKbVCAAgYTYEDIYAPG7lKAAhSgAAVsBDbszsWr32balDh/+sE93SDlhPigAAUoUGcB5Q0BrQ0xIKRVjPUpQAEKUMBWoDZY88MPP+CCCy6w3YT9+/eja9euGDhwIL766itYrac/M8/OzoaYsScxMREbNmyw28dbL9wFhLzdVwaEvDWybJcCFFBeDzAgxPeE3wTE0mKF0tJipVxazG9jwANTgAK+FdA7HCSWFcstTEJeUZJvT4RHowAFAkKAAaGAGAZ2ggIUoAAFKFAngTU7c/Dm9wfd7vvuXV0QEWZ2W48VKEABCqgJKG8IqNVTK/dlQCgzMxPNmze368r27duRnp6O7t27o1WrVnbb+IICFKAABQJfwFVASPR+ypQpmDdvHi6++GKMGTMGRUVFmD9/Pvbs2YMlS5bI4SFfnKW7gJC3+8qAkC9GmcegQGgKKK8HGBAKzfeB389ahIPCIg7jZGU2lxbz+2iwAxSggK8E9FxaTPS5pCwa2XkpKK+0X5/ZV+fD41CAAv4VYEDIv/48OgUoQAEKUOBcBFamncQ7qw67beKt8Z0RG2lxW48VKEABCqgJKG8IqNVTK/dVQKiqqgq9evWSbwS/9tprcnfEDWNx41g8wsLC8OKLL+KOO+6QX/P/KEABClDAGALuAkLiLKZNm4YFCxagoKBAPqn27dvjjTfeQP/+/X12kp4EhLzZVwaEfDbUPBAFQk5AeT3AgFDIvQX8f8JiZuzeDfNwrGov8iqK/N8h9oACFKCADwT0nj1IdFksL3Y8NxU1NVxzwAdDyENQIOAEGBAKuCFhhyhAAQpQgAIeC3y3ORuLfjritv5rt3VEUow+yxO7PRgrUIACQSmgvCGg9SR9FRD66aefcNlll+Hqq6/Ghx9+KM8g0aZNG4gbtrfeeis+/vhjlJaWIi0tDampqVpPg/UpQAEKUCDABURQdNu2bfLv+AYNGgR0b73RVwaEAnrI2TkKGFpAeT3AgJChh9OYnW+VIM0eFM7Zg4w5euw1BShQFwFvhINEP0RAKCuncV26xH0oQIEgEGBAKAgGkadAAQpQgAIhK7Ds9xP4+Oejbs//5Zs7ICU+3G09VqAABSigJqC8IaBWT63cVwGhf/7zn5g+fTo++ugjXHXVVVi7di2GDx+O8ePHY+7cuXj11VfxyCOPyDNM3HjjjWrdZTkFKEABClDAkAIMCBly2NhpChhCQHk9wICQIYYtuDrZh7MHBdeA8mwoQAGXAt4KB4mDMiDkkp4bKRD0AgwIBf0Q8wQpQAEKUCCIBf67MQuf/ZLl9gxfGN0eTepFuq3HChSgAAXUBJQ3BNTqqZX7KiD00EMPycvJ/Pjjj+jTp48cBJo8eTJeeeUVjBs3DqL88ssvxxNPPIFHH31UrbsspwAFKEABChhSgAEhQw4bO00BQwgorwcYEDLEsAVXJxkQCq7x5NlQgALqAt4MB5VXRiCnIFkOCan3gFsoQIFgFmBAKJhHl+dGAQpQgALBLrB4/TF8+etxt6f53A3t0LJBlNt6rEABClBATUB5Q0Ctnlq5rwJCtTMIvfnmmxg7dizuvvtuvP/++/jmm28waNAgLFu2DKNGjcKMGTPw4IMPqnWX5RSgAAUoQAFDCjAgZMhhY6cpYAgB5fUAA0KGGLbg6WS4uRoN4vejxHQcFdWVwXNiPBMKUIACCgFvhoPEoYpKY3EitxGqqi2KI/MlBSgQKgIMCIXKSPM8KUABClAgGAX+vfYIvvkj2+2pPXV9W7RrFO22HitQgAIUUBNQ3hBQq6dW7quA0LZt29CvXz80btwYY8aMkWcOCg8Px549exATE4NJkybh7bffxocffoirr75arbsspwAFKEABChhSgAEhQw4bO00BQwgorwcYEDLEsAVPJ9smFqPAlI7i6oLgOSmeCQUoQAEnApFhUYiPiHOyRZ8iLi+mjyNboYCRBRgQMvLose8UoAAFKBDqAgtXH8aKrSfdMjx+TWt0ahrrth4rUIACFFATUN4QUKunVu6rgJA4/mOPPYZ//etfZ7oint9+++3YsmULBg4ciNjYWOzevRuiT3xQgAIUoAAFgkmAAaFgGk2eCwUCS0B5PcCAUGCNT9D3hsuLBf0Q8wQpQAFJQJ49KDwWVrPVax6FxfHIyk31WvtsmAIUCHwBBoQCf4zYQwpQgAIUoICawPwfDuHH7afUNp8pn/r3VujewntfPDhzID6hAAWCVkB5Q0DrifoyICT6tn79euzYsUOeTahLly5yd6uqqjB+/Hhccskl+Mc//qH1FFifAhSgAAUoEPACDAgF/BCxgxQwrIDyeoABIcMOpfE6bpa63DBhH8rMWVxezHjDxx5TgAIeCvgiHFRRGY6cwnooKE7wsFesRgEKBKMAA0LBOKo8JwpQgAIUCBWB15dnYt2uXLene/8VLdCnNf/udwvFChSggKqA8oaAakWVDb4MCJWWlkL0lw8KUIACFKBAqAkwIBRYI15SUoIff/wRmzdvlmcwvOCCC9C7d+/A6iR7QwEPBZTXAwwIeQjHaucu0DqhGIXmdJRwebFzx2QLFKBAQAr4IhwkTry4NAYn8hqissp7MxQFJDA7RQEK2AkwIGTH4dGLoqIi/Pzzz9i+fTsKCwvRvn17XHHFFYiJiXHYf9myZXJZp06d0Lp1a4ftzgo2bdqErKwsNGvWDN27d3dWhWUUoAAFKEABWWDu1wewaW+eW417hjdH//aJbuuxAgUoQAE1AeUNAbV6auW+CgilpaVh5MiReP/999G3b1+17rCcAhSgAAUoEJQCDAgFzrD++uuvGDduHPbs2YOIiAiUlZXJnRs7dixee+01hIWFBU5n2RMKeCCgvB5gQMgDNFbRR4DLi+njyFYoQIHAFLBawhEbHuPVZcVqz7ywJA7Hc1JRA1NtEX9SgAIhKMCAkLZBX7t2LSZMmICMjAz54l4sU1BZWYnGjRtj4cKFGDBggF2DsbGxqKmpwZAhQ/C///3PbpuzFyJw1K5dO+Tn5+Omm27CvHnznFVjGQUoQAEKUEAWeHHpfvxfRoFbjQkXN8Ogjklu67ECBShAATUB5Q0BtXpq5b4KCM2aNQvPPPMM5syZI//drtYfo5aLLyqI5dOmTJmiegrV1dUQQSlRV8xcIGYrEGEpq5VfEFNF4wYKUIACQSLAgFBgDGR2djZ69Ogh/9v71ltvYdiwYcjJycGTTz6JRYsW4b777sPzzz8fGJ1lLyjgoYDyeoABIQ/hWO3cBRgQOndDtkABCgSuQGRYFOIj4nzSwcLieGTlpvrkWDwIBSgQuAIMCGkbGzFTkAj8TJ8+Hf369ZPDQUuWLMHdd9+NpKQk/Pbbb0hMPDtDgwgIWSwWud7GjRvRuXNnlwd89dVX8cQTT8j1GRByScWNFKAABSggCcz8Yh+2HSx0a3Hb0Ca4qEuy23qsQAEKUEBNQHlDQK2eWrmvAkKPPPIIxN/Ua9asQa9evdS6Y7hycVNx5syZEDcZBw8ejKVLlzo9h4qKCtxyyy344osv5OsQce0iAkNDhw7F4sWLIcaBDwpQgAIUCF4BBoQCY2wfeOAB+d/szz//HMOHD7frlPg3WcxKvnfvXnnZMbuNfEGBABZQXg8wIBTAgxVMXbOaa9Agfh9KTcdRUV0ZTKfGc6EABSgAX84eJJYVyy1MQl4Rv0XMtx4FQl2AASFt74Avv/wSf//732Ey2c++Jr4B9NJLL+HDDz/E1VdffaZRERDq06cPxLTCYgphVzMCidmIunTpgqZNm2LdunWcQeiMIp9QgAIUoICawNOf7UH60WK1zWfKxw5sjL/2qH/mNZ9QgAIU0CqgvCGgdX9fBYSWL1+Oa665Rr4pN2bMGK3dDLj6u3btwoIFC+TZBsT1QmlpqTwLgVpASISDPv30U0ybNk2eQUmEg2bPno3XX39dvk4R1yt8UIACFKBA8AowIBQYY9u/f39kZmbi8OHDDh0S/xbfcccdmD9/PkaPHu2wnQUUCFQB5fUAA0KBOlJB1q+2CcXIN+9CSbX7b8cF2anzdChAgSAX8GU4SFCWlsXgVH4KSirCg1yWp0cBCrgTYEDInZBn28XyYSNHjpRnFpo6deqZnURA6KKLLpI/yBchIfEBf/36zm/QfvbZZ7j55pvx7LPPyrMIcQahM4x8QgEKUIACKgJPfLIb+4+XqGw9W3zDhY1wZe+UswV8RgEKUECjgPKGgMbd5ZlrRFhFBFy8+RBLa4lgvphx5+mnn0Z4uPPPPcTsQuedd543u6JL2+LaQoR7Bg0aJAd9xA1HsUyJs4DQ/v370bVrV/m65N133z1zfOEuZi/YsGED0tPTkZrK2aTP4PAJBShAgSATYEAoMAY0JSUFTZo0wR9//OHQoV9++UX+t/zhhx+WlxxzqMACCgSogPJ6gAGhAB2oYOsWlxcLthHl+VCAAkJADgdZY6SfvlsLvqgkDiek5cWqauxnwOCIUIACoSfAgJA+Yy6m67/11lvxyiuvYNy4cWcaFQGhIUOGyN8M+sc//iEHfx599NEz222fDBw4EEePHsVXX32Fvn37cgYhWxw+pwAFKEABpwIPf7QLh06WOd1mW3jd+Q1xbb+GtkV8TgEKUECTgPKGgKadpcq+mkHo+eeflwP37vo3a9Ys3Hvvve6q+X37ihUr5CWMxaykYvkwsZyxWkBoxowZcojo66+/lpchs+3822+/jUmTJuG5557D5MmTbTfxOQUoQAEKBJEAA0KBMZi9e/dGRkYGjh07BqvV/r7PN998gxEjRsiB5jfffDMwOsxeUMADAeX1AANCHqCxyrkJiFvYjRL2ocycxeXFzo2Se1OAAgEk4OuZg2pPvbA4HllSQIgPClCAAgwI6fMeEN9SFuuKb9y4EZ07dz7TqAgIDR48WP6Gb/fu3VFYWCjPIqT8JvPatWvlb/WKbzn/7W9/g/gggTMInWHkEwpQgAIUUBF4YNFOZOWVq2w9W/z3PikY1b/R2QI+owAFKKBRQHlDQOPuPgsIrVmzBqtWrXLbvUsvvRQXXHCB23qBVMFdQGjo0KHYtm2bvJyJ8mbk3r170a1bN4waNQq2swsF0vmxLxSgAAUocO4CDAidu6EeLdxzzz1YuHAhZs6cKQd0a9sUs/qJz/1+/PFH+ecnn3xSu4k/KRDwAsrrAQaEAn7IjN/B1tLyYoXmdGl5sQLjnwzPgAIUoIAk4K9wUKQpDOWlSdh9sh7HgQIUoAAYEDr3N8GyZctwww034PLLL4eYScj2URsQEkuQiW8FPfjgg07XGL/++uuxevVqecr/rKwsrwSEampqUFZWBnEx5+pRUlKCqKgoV1VQXFws3+RxVcmTOp4cy5M64rzCwsJgsVhUu1ReXg6TyeTwzS3bHSorK1FVVYWIiAjbYrvndKSju/8++H50/zuE/127/x3qiZGoM/U/GThVWGH3e8rZi8t61MeYgY2dbQJ/P7p/z/K/a/dGnrxn6RhYjk5/IbgoVN4QcFHV6SZfzSDk9OBBUuguINSxY0f5b90tW7Y4nLH4b1QsdSxmNxXXJnxQgAIUoEBwCjAgFBjjKj7b69GjBwoKCuSZxi+++GIUFRVBzOgnllsVS4/ddtttePXVVwOjw+wFBTwQUF4PMCDkARqrnJsAlxc7Nz/uTQEKBJ5AlDUKceFxPu+YqTJamsEiBceK1W9++rxTPCAFKOA3AQaEzo1ezBo0YcIENGvWDCtXrpSn/Ldt0TYgJD4IaN++vVx3w4YNZ6rt3r0bPXv2xPjx4/Hyyy9j586dXgkIHThwAPn5+RA3DkSYxtnjyJEjOHnyJNq2basaEjpx4oQ8RXKLFi0QHx/vrBnk5ubi4MGDaNy4MZKTk53WER779u1DgwYN0KiR81ktxE3rXbt2ya7C2NlDBHbS0tIQExOD1q1bO6silwlXERA677zzVOvs2bNHDlHZzgKlrExHOoqlPfh+5H/Xyt8N4rU/fj++sg4oLq9x1h27sou7JuPWIU3sympf8Pcj/53hv9eh+XdP7e8AT38qbwh4ul9tPQaEaiXq/tNdQKhevXro2rWrPCuBs6OIv8vbtGkjz3rqbLvWMhE6El8KUPt7X7Qn+pyXlyeHk9TaF7MpnDp1ymUdsW92djaSkpJcfilAXMuIazBXgX9xLPF+Fu9JtYe4nhFfPoiLU//cTlxbiWuRhIQEtWbkGWSFgei32oOOdAzl92NW5gaE1xyE2WxW+08ERcVFiAiPUP0cQ+wofheFWcMQbg1XbUf8tyaO4+z3Q2zDobCE15M/M1H777owaxWqyk/JnxlUVVchOkr9d4j47768ohwx0TGq/RFfThJBEfFZhtpD9EWcW20dkyUC8Y3/5lDd9vdjoASEIuoPQ5OuDzv0tbZAzLAd7L8fxWde48aNkz+zqj3vAQMG4KmnnoIIDE2dOhXTp0+v3eTwk//O8N9rX/3d4/DmUylQXg8wIKQCxWL9BFK5vJh+mGyJAhTwu4A/Zw+qLEvC3lNJqKwWizfyQQEKhLoAA0J1eweID7FnzJiBF198EWIq/w8++MDph762ASFxpCeffBIvvfQSxHrjgwYNkg9+3333ydP8b968Wf7A3lsBIfHBvPhgKTVVfYlJ8QGN+ABC3ChUe4gPsMQH7yLUozZjj5iJR3xbSnxL2dmHb7Vti0CS+EC99sOu2nLbn0ePHpW3q4WRRF1xLLFsm6sP3sWNexEQEn1Se4ibBeIDqoYNG6pVkW9w0JGOfD+qB83537Vvfz8+/mU2yircB4QGd0rCHRc5D1ry9yP/neG/16H5d4/qHzsqG5Q3BFSqqRb7OiAk/q5btGgRduzYgUOHDuGVV16R/9bOzMyUv8EvQvNGe4i/U0VQediwYfISxrb9FzMUiL/PnW2rrde8eXP5b++tW7fWFp3TT2EprjHElyDU/uYXf8uLG9etWrWSgzvODii2i3pNmzZV/XteHEccT/ydnpKS4qwZ+VpHLKUmglJNmjgPxQpDcb0lgj8tW7Z02o4oFEbiPd+uXTvVOqIdcV3YqVMn1TqiP+LaQXwBQS0AQUc6hvL78eiudxFe9K3qf0O+2tCk978QEd9B/v2g9t/14d/uQ1n+Ll91yelxLOGJaPEX+yWplL8fAyUgVBV1PtpdMMPpeYjCUPr9mJGRgf3798shXvF39/Lly3HNNdfInyuKmcbVHvx3hv9e++rvHrX3oLJceT3AgJBSiK91FQgz1SAiZivMljxd22VjFKAABfwh4M9wUH1LDE4Vx2Brtvo3oPxhwmNSgAL+E2BASLt9Tk4Oxo4dK38zV3zb57HHHlMNyigDQuLGufgA+dJLL5WXIxMfhosZbcQH+Z9++qncGW8FhLSfKfegAAUoQIFAFxj7+hbp5qT7Xl7YPhEThzd3X5E1KEABCqgIKG8IqFRTLfZlQOjLL7+UZ+cUM1bWPn7++Wf57/B+/frJRZs2bXK59GztfoH001VASNzQFuGh3r17Y9WqVU67Lbb36dMHK1ascLpda6GY7VPMyOFqBh0xQ4YIL4lju3qIayxXYX+xr6gj2hGhf7WHmPlHXIOpzZgq9hM308X7WS3UJOqIPosvQ7iaZUi8v8TsHuJ4ag/hI8bNVbicjnQM5ffj0Z3voOSo/VLtav89ebO8NiDk6r/rQA0ICRfb34+BEhCKanARUrtMVR22UP79KL48OGfOHIi/Tbp3765q5Or9WLtTKDsKA/57rc/fPbXvJ3c/ldcDDAi5E+P2cxJok1CMAvMulFQXnlM73JkCFKCAvwX8HQ6qqIjEntxoHC9Rn27V30Y8PgUo4FsBBoS0eYsLz8svvxxiWbCPPvpIDva4akEZEBJ1xfTCixcvlr+V+sknn8jfGPr2228xcOBAuSkGhFyJchsFKEABCtQKVFfXYOzrns0C0adNPO6/vGXtrvxJAQpQQLOA8oaA1gZ8FRASMxKcf/75EMGUu+66S166Ssz2KW7C9ejRA3feeac8+6cI54u/6430cBUQEuchlg8T1x9iZlLlQ9xkFDPvXHvttfL5K7fzNQUoQAF/COQe+Ain9r3vj0PbHbM2IGRXqHgRyAEh264GSkAorvFf0eC8+227xueSgJiVW8xO16tXL4hAMx8UMJKA8nqAASEjjZ4B+8rlxQw4aOwyBSjgIOCvcJDoSJw5Ao0ssThaFIG0k7GoqlH/tpVDx1lAAQoEtQADQtqGV9xQ+Pjjj+Vv3fbt29ftzs4CQuID+wsvvFBea1wEhMS3YNetW3emLQaEzlDwCQUoQAEKuBAorajGuDfTXNQ4u6lHyzg8dGWrswV8RgEKUECjgPKGgMbd5ZlYxCw34saYNx/z58/H/fffjxdeeAETJ06Ul/cV39SvDQh9//33uPrqq/H444/LM4F6sy96t+0uIDRgwADs2rVLXlJNOTtO7TXIpEmTMHPmTL27xvYoQAEK1EmAASFtbM6WGFO2wICQUiRwXot/xydMmADxWaAIB1188cWB0zn2hAIeCCivBxgQ8gCNVeomIG5hR8Vulab0zK1bA9yLAhSgQAAIhFvCERMeA6vZ6vPeRJqsqG+JRpQpDIelgBCXF/P5EPCAFAhoAQaEPB+eEydOoG3btvI64e+9955HOzoLCIkdL7vsMvzyyy8oKyvDO++8gxtuuOFMewwInaHgEwpQgAIUcCFQUFqJOxdsd1Hj7KZOTWPx+DWtzxbwGQUoQAGNAsobAhp391lASAR/5s6dKwf6+/fv7xAQ+vrrr3H99dfj6aefxpQpU7Sehl/ruwsIPfXUU3jxxRfx+eefY/jw4XZ9nT17tjxz6erVq+HJFx3sduYLClCAAl4SYEBIGywDQtq8/Fl7z5498qyFQ4YMkf/dFQHeL774Ahs3bsQzzzwjh5n92T8emwJ1EVBeDzAgVBdF7uORQOuEEnl5sdLqAo/qsxIFKECBQBSIskYhLjzOL12rnT0orzwM6TnROFnK5cX8MhA8KAUCVIABIc8HZu3atfIH7WIa4AsuuEB1xyeeeAIJCQnydrWA0DfffIMRI0YgNTUVO3bsgNV6NkDKgJAqLTdQgAIUoICNwKnCCty7cIdNifrTdqnReGpEW/UK3EIBClDAjYDyhoCb6g6bfbXEmFg67JZbbsHo0aPx5ptv4uWXX0btDEKdO3fGddddhx9++AFLly51u1yww0n4ucBdQGj//v3o2rWrvHTxV199deYaIzs7G2J2ITFz6YYNG/x8Fjw8BShAgbMCDAidtfDkGQNCnigFRp3MzEx5KVPxb7N4mM1mdOrUCQ8++CBGjhwZGJ1kLyigUUB5PcCAkEZAVvdcoE39YyioOYiSSu9OP+t5j1iTAhSggDYBf84eJHpaGxA6IpYXy45FNbi8mLYRZG0KBLcAA0Kej6/4Ju7YsWPd7pCeno4mTZrI9dQCQjU1NejZs6fcnvhwwPbBgJCtBp9TgAIUoICaQFZeOR5YtFNts115y5QoPDeqnV0ZX1CAAhTQIqC8IaBlX1HXVwGhwsJCDBo0SF5qSwSCxN/jYubOUaNG4bfffoP4Rv/555+Pb7/9FuHhxvoClbuAkHAWsyLNmzdPXrZkzJgxKCoqglh2TZz3kiVL5PCQqMcHBShAgUAQYEBI2ygwIKTNKxBq5+bmyv8Gd+jQQf6bJBD6xD5QoK4CyusBBoTqKsn93AokxO+SopXZqK6pdluXFShAAQoEmoC/w0HCQwSEEmrisT8/CpkFUYFGxP5QgAJ+FmBAyM8DwMNTgAIUoAAF6ihw6FQpHv4w3WHv6AgLisuq7Mqb1IvAC6PPsyvjCwpQgAJaBJQ3BLTsK+r6KiAkjpWRkYFJkybJy4yJ17UPk8mEK6+8Up5VqFGjRrXFhvnpSUBInMy0adOwYMECFBScnpG/ffv2eOONNyCWXOODAhSgQCAJMCCkbTQYENLmxdoUoIC+AsrrAQaE9PVla38KmEzViIpJg8WSRxMKUIAChhTw59JitWAiIGQpr4ftp2Kk2dgstcX8SQEKUEAWYECIbwQKUIACFKCAMQX2Hy/BE5/sduh8/XgrsvMr7MpTEsLx8k0d7Mr4ggIUoIAWAeUNAS37irq+DAjV9m337t3Yvn07srKy5KV9xdIebdq0qd0c1D+rqqqwbds2+bwbNGgQ1OfKk6MABYwrwICQtrFjQEibF2tTgAL6CiivBxgQ0teXrf0pkBSbjZqwDFTVlNCEAhSggCEF/B0QijRZUd8SjZziGGzNjkONIRXZaQpQwJsCDAh5U5dtU4ACFKAABbwnkH60CE9/ttfhAM3rRyIz236Z9qRYK167taNDXRZQgAIU8FRAeUPA0/1q6/kjIFR7bP6kAAUoQIHAFGBASNu4MCCkzYu1KUABfQWU1wMMCOnry9b+FODyYnwrUIACRhfwd0BIzB4UV52AfdLyYocLI43Oyf5TgAJeEGBAyAuobJICFKAABSjgA4Fthwox87/7HI7UoUkMdh4usiuPjbTgrfGd7cr4ggIUoIAWAeUNAS37irq+CgiVlJRA/C8+Ph5hYWEO3SwvL0dhYaHcH3FOfFCAAhSggP8EGBDSZs+AkDYv1qYABfQVUF4PMCCkry9b+1MgOmYrLGG59KAABShgWIFACAiZyuph28lYlFebDevIjlOAAt4TYEDIe7ZsmQIUoAAFKOBNgf/LKMCLS/c7HKJX63j8vi/frjzCasa7d3axK+MLClCAAloElDcEtOwr6voqIPT888/j2WefxcqVK3H++ec7dPOLL77A6NGjMWvWLNx7770O21lAAQpQgAK+E2BASJs1A0LavFibAhTQV0B5PcCAkL6+bE0SCDNXICJ6O8wW+w+1iEMBClDASAKBEBCqKk2Wlxczkhv7SgEK+E6AASHfWfNIFKAABShAAT0FNu3Nw9yvDzg0ObBDEtbszLErN0vfFfhgYje7Mr6gAAUooEVAeUNAy76irjcDQkeOHMFHH30kd2n16tVYtWoVbr/9djRr1syhm2vWrMGKFSvw0ksv4c4773TYzgIKUIACFPCdAANC2qwZENLmxdoUoIC+AsrrAQaE9PVla5JAZFQGwsKPwYQKelCAAhQwrIA/A0KRJisiq+JwOD8ex4ojDGvIjlOAAt4VYEDIu75snQIUoAAFKOAtgXXpuXj9u0yH5od3r4/vNmc7lC+a2BUWs8mhnAUUoAAFPBFQ3hDwZB/bOt4MCG3YsAEXXXSR7eFcPo+Li8O6devQunVrl/W4kQIUoAAFvCvAgJA2XwaEtHmxNgUooK+A8nqAASF9fdmaJMDlxfg2oAAFgkHAnwGhOLMUCpKWF0s7GYfKat4ICIb3E8+BAt4QYEDIG6pskwIUoAAFKOB9gR+3n8L8Hw45HOiafin478bjDuXvSEuMRUpLjfFBAQpQoC4CyhsCWtvwZkDo+PHjWLp0qdylb775BuJ/999/P1q1auXQzYSEBAwePBgNGjRw2MYCClCAAhTwrQADQtq8GRDS5sXaFKCAvgLK6wEGhPT1DfnWTKhGVGwaLJa8kLcgAAUoYGwBfweEuLyYsd8/7D0FfCHAgJAvlHkMClCAAhSggP4CK7aexMLVhx0aHj0gFR+uPepQ/ub4ToiLDHMoZwEFKEABTwSUNwQ82ce2jjcDQrbHSUtLw9atW3HJJZegfv36tpv4nAIUoAAFAkyAASFtA8KAkDYv1qYABfQVUF4PMCCkr2/ItxYekYnwiCMwmbi8WMi/GQhAAYML+DMgZK6KRmFhCo4WcXkxg7+N2H0KeFWAASGv8rJxClCAAhSggNcEvvm/E/j3Gscg0PiLmmKBk5mFXr21I+rFWr3WHzZMAQoEt4DyhoDWs/VVQEhrv1ifAhSgAAX8J8CAkDZ7BoS0ebE2BSigr4DyeoABIX19Q7q18IiDf4aDykPagSdPAQoEh4A/A0IlpXHIzmuE8iouIxAc7yaeBQW8I8CAkHdc2SoFKEABClDA2wJf/noci9cfszuMSVpZ+N6/tsAr3xywKxcv5tzUAQ0Twh3KWUABClDAEwHlDQFP9rGt48uAkFhibMCAAYiLi5O7UFFRgfnz5yM9PR29e/fGmDFjYDbzsxLb8eFzClCAAv4QYEBImzoDQtq8WJsCFNBXQHk9wICQvr4h2xrDQSE79DxxCgStgL8CQlEmK8pKE7HnZD3UBK0uT4wCFNBDgAEhPRTZBgUoQAEKUMD3Ap/9koX/bsyyO3B4mEkOCL20LMOuXLyYPbo9mtaLdChnAQUoQAFPBJQ3BDzZx7aOrwJCRUVFaNOmDTp27IhVq1bJXRg/fjw++uijM90ZNWoU3n333TOv+YQCFKAABfwjwICQNncGhLR5sTYFKKCvgPJ6gAEhfX1DsjWGg0Jy2HnSFAh6AX8FhOLMEagqTcbW7NPflgt6aJ4gBShQZwEGhOpMxx0pQAEKUIACfhX4eN1RLPvthF0fYiItckBo1hf77MrFi2dHtUOrlCiHchZQgAIU8ERAeUPAk31s6/gqIPT5559j7NixuPfeezFr1ixkZWWhXbt2SE1NxZw5czBjxgykpaVh/fr16Natm20X+ZwCFKAABXwswICQNnAGhLR5sTYFKKCvgPJ6gAEhfX1DrjWGg0JuyHnCFAgZAX8FhCxV0SguaoBDhfyGcMi82XiiFKijAANCdYTjbhSgAAUoQAE/Cyz66Qi+25xt14vEmDA5IPTMkr125eLF9BFt0D41xqGcBRSgAAU8EVDeEPBkH9s6vgoIPfvss3j++eexdOlSDBs2DN999x2uvfZaTJkyBU8//bQ8k5CYUeiVV17BuHHjbLvI5xSgAAUo4GMBBoS0gTMgpM2LtSlAAX0FlNcDDAjp6xtSrTEcFFLDzZOlQMgJ+CMgJJYXqy5PQEZOIoorLSFnzhOmAAW0CTAgpM2LtSlAAQpQgAKBIvDOqkNYmXbKrjsN4sOlgFBzPLl4j125ePHYNa3RuWmsQzkLKEABCngioLwh4Mk+tnV8FRCaOnUqXn/9daxYsQL9+/fH3Llz8fjjj2PBggW48cYbsXbtWgwfPhwPP/wwnnzySdsu8jkFKEABCvhYgAEhbeAMCGnzYm0KUEBfAeX1AANC+vqGTGsMB4XMUPNEKRCyAr4OCIlwULIlGjnFMUjLjkU1TCFrzxOnAAU8E2BAyDMn1qIABShAAQoEmsCbKw5izY4cu241rheBe4e3wKMfp9uVixcPXdkKPVpyCWIHGBZQgAIeCShvCHi0k00lXwWE5s2bJ88W9Mwzz+CBBx7Addddh2+//RZr1qxBr1698Mknn+C2227DCy+8gIkTJ9r0kE8pQAEKUMDXAgwIaRNnQEibl561czI+RFn+Dj2brFNbjbo9I+3Hez51wuNO5yygvB5gQOicSUOnARNqpJOtgTXiEMIjjsJkKg+dk+eZUoACISfgy4BQbTgoyhSGw4UR2HqSH/6H3BuOJ0yBOggwIFQHNO5CAQpQgAIUCACBV7/NxIbduXY9adEgSp5BaMoHu+zKxYvJl7dA3zYJDuUsoAAFKOCJgPKGgCf72NbxVUDoxIkT6NChA8rLy9G7d29s2rQJLVu2xNatW2E2m3HllVdi5cqV+PrrrzF48GDbLvI5BShAAQr4WIABIW3gDAhp89KzdtbWp1CUvV7PJuvUVuuh30r7MSBUJzzudM4CyusBBoTOmdS4DZik+SlgEnNUVEmhHynwYy5zezIiJGQJy5XCQRVu67ICBShAASML+CogZBsOEl4MCBn5XcO+U8C3AgwI+dabR6MABShAAQroJTDnfxn4bV++XXNtG0VLAaEWmPSe47dbJw5vjgvbJ9rV5wsKUIACngoobwh4ul9tPV8FhMTxli5dittvvx2FhYVISUnB4sWL0bdvX/zxxx8YOHAg2rVrh99//136bJo32GrHhz8pQAEK+EOAASFt6gwIafPSszYDQnpqsi2jCiivBxgQMupInkO/TaZKaQagw1IgqEQKB0mzAkkhIYslX7qwqjyHVrkrBShAgeAS8EVASBkOyi8Pw57caBwvCQ8uTJ4NBSjgFQEGhLzCykYpQAEKUIACXheY/dV+bDlQYHecjk1jcN/wFrjrne125eLFHRc1xeBO9RzKWUABClDAEwHlDQFP9rGt48uAkDhuRUUFDh06JM8eZBsEev/999GzZ09069bNtnt8TgEKUIACfhBgQEgbOgNC2rz0rM2AkJ6abMuoAsrrAQaEjDqS59DviMgMWMOPcRagczDkrhSgQPAL+CIgFG+OQENL7BnMo0UR2HYyFpU1/CbcGRQ+oQAFVAUYEFKl4QYKUIACFKBAQAs8+/le7DhcZNfH7i3i5CXGbn9rm125eHHrkCa4uGuyQzkLKEABCngioLwh4Mk+tnV8HRCyPTafU4ACFKBAYAowIKRtXBgQ0ualZ20GhPTUZFtGFVBeDzAgZNSRPId+R8dulmcMOocmuCsFKECBoBfwdkBIOXuQAOXyYkH/tuIJUkBXAQaEdOVkYxSgAAUoQAGfCUz/dA/2HCu2O16f1vHyEmM3v7HVrly8GDMwFZf1aOBQzgIKUIACnggobwh4so9tHQaEbDX4nAIUoAAFhAADQtreBwwIafPSszYDQnpqsi2jCiivBxgQMupI1rHf4RGZ0vJiRzh7UB39uBsFKBA6At4MCDkLBwlZBoRC5/3FM6WAHgIMCOmhyDYoQAEKUIACvhd47D/pOHCi1O7A/dsn4p7hzTH6tS0Qq8HbPkb1b4S/90mxLeJzClCAAh4LKG8IeLzjnxV9GRASS4s99thjWL9+PXJzc512dcaMGbjrrrucbmMhBShAAQr4RoABIW3ODAhp89KzNgNCemqyLaMKKK8HGBAy6kjWsd+cPaiOcNyNAhQIOQFvBYTUwkGFFRbszYuGWGaMDwpQgAKeCDAg5IkS61CAAhSgAAUCT+Chf+/CkZwyu44N6piECRc3w63ztqK80j4hdG2/hrju/IZ29fmCAhSggKcCyhsCnu5XW89XAaHy8nL06dMHe/fulQ9tNptRXV2NsLAw+ad4bjKZMGvWLNxzzz213eNPClCAAhTwgwADQtrQGRDS5qVnbQaE9NRkW0YVUF4PMCBk1JGsQ79NphpExYjlxQrqsDd3oQAFKBBaAt4ICKmFg4RsVnE4tp2KRXmVObSgebYUoECdBRgQqjMdd6QABShAAQr4VWDy+ztxIr/crg8XdUnGbUOb4I7521BUVmW37creDXDDhal2ZXxhPIHcogokxliN13H22PACyhsCWk/IVwGhTz/9FLfccgsuueQSvPPOO1i+fDluv/12HDhwAAkJCZg4cSK+//57pKWlISYmRutpsD4FKEABCugowICQNkwGhLR56VmbASE9NdmWUQWU1wMMCBl1JOvQ73px2aiy7Ed1jf001nVoirtQgAIUCHoBvQNCrsJBAvOwNHNQWnaccjWBoHfmCVKAAnUXYECo7nbckwIUoAAFKOBPgYnvbkduUaVdF/7aoz7GDmwMV9vsduALwwjsO16Mt1cekpeVi46wQCwZd3HXZMP0nx01voDyhoDWM/JVQOjZZ5/F888/j5UrV+L888/HN998gxEjRmDLli1o06YNdu3ahV69emHevHm46aabtJ4G61OAAhSggI4CDAhpw2RASJuXnrUZENJTk20ZVUB5PcCAkFFHsg79blI/EyXVR1BRVVGHvbkLBShAgdAS0DMg5C4cJGQPF0Zg68m40ELm2VKAAuckwIDQOfFxZwpQgAIUoIDfBMZLswQVq8wS5Hx2oXrS7EJN/dZfHvjcBB7/z25knCixa+SF0e3RpF6kXRlfUMBbAsobAlqP46uA0JQpU+TwT20gaPXq1bjiiiuwYsUK9O/fH6dOnUKzZs3w4IMPYsaMGVpPg/UpQAEKUEBHAQaEtGEyIKTNS8/aDAjpqcm2jCqgvB5gQMioI1mHficm7ECN6ZQ0g1B1HfbmLhSgAAVCS0DPgFC8OQINLbGqgHnlYdidG43sknDVOtxAAQpQQCnAgJBShK8pQAEKUIACxhC4Zd5WVFTW2HX22n4Ncd35DfHQv3fhSE6Z3bZBHZMw4eJmdmV8YQyB/JJK3PX2dofO3nFxUwzuWM+hnAUU8IaA8oaA1mP4KiD02muv4eGHH8Y///lP3HXXXdizZw+6d++O2267Da+88gqWLFmCm2++GTNnzsSkSZO0ngbrU4ACFKCAjgIMCGnDZEBIm5eetRkQ0lOTbRlVQHk9wICQUUeyDv2Ojt0MiyW/DntyFwpQgAKhJ+DLgNARsbzYyVgpwGkKPWieMQUoUGcBBoTqTMcdKUABClCAAn4VGP3aFijXFh51YSP8vXcKHvtPurwUlW0H+7dPxD3Dm9sW8blBBA6eLMUjH6U79LZ9ajSmj2jrUM4CCnhDQHlDQOsxfBUQOnLkiBwIevzxxzF58mS5m2LmIDGjUFJSEnJzc6XPti347bff0LYt//vROo6sTwEKUEBPAQaEtGkyIKTNS8/aDAjpqcm2jCqgvB5gQMioI1mHfjMgVAc07kIBCoSsgC8DQlxeLGTfZjxxCpyTAANC58THnSlAAQpQgAJ+EaioqsEtb2x1OPaYgY1xWY/6mP7pHuw5Vmy3vXfreDxwRUu7Mr4whgADQsYYp2DvpfKGgNbz9VVASPTrl19+Qd++fWE2m+VuZmRkYOLEiXIoqHnz5pg2bRquvPJKrafA+hSgAAUooLMAA0LaQBkQ0ualZ20GhPTUZFtGFVBeDzAgZNSRrEO/GRCqAxp3oQAFQlbAVwGh3LLTy4udLOXyYiH7ZuOJU6COAgwI1RGOu1GAAhSgAAX8KFBcXoXxb21z6MGtQ5rg4q7JePbzvdhxuMhue/cWcZj691Z2ZXxhDIF9x0sw7ZPdDp1t31iaQeg6zoDiAMMCrwgobwhoPYgvA0Ja+8b6FKAABSjgHwEGhLS5MyCkzUvP2gwI6anJtowqoLweYEDIqCNZh34zIFQHNO5CAQqErICvAkKHxfJi2XHKFQZC1p0nTgEKeC7AgJDnVqxJAQpQgAIUCBSBvOJK3P3Odofu3HFxUwzuWA+zv9yPLZkFdts7No3BE9e0sSvjC2MIiLCXCH0pH+c1jsGT13FMlS587R0B5Q0BrUfxZUAoPz8f8fHxdl3MycnBvn370KFDB8TExNht4wsKUIACFPCPAANC2twZENLmpWdtBoT01GRbRhVQXg8wIGTUkaxDvxkQqgMad6EABUJWQM+AkNVkQZI5CgnmCDvPkkoz9udHIbMgyq6cLyhAAQp4IsCAkCdKrEMBClCAAhQILIHsgnJMem+nQ6cmDm+OC9snYs7/MvDbvny77W0bRePp6znbjB2KQV5sPlCAF77a79BbBoQcSFjgRQHlDQGth/JVQKimpgYDBw7EFVdcgUcffVTu5meffYZx48ahsrJSDgfNnz8fV199tdZTYH0KUIACFNBZgAEhbaAMCGnz0rM2A0J6arItowoorwcYEDLqSNah3wwI1QGNu1CAAiEpYLWEI9YaA6vFqtv5x0vhoIaWWLv2jpeEY8epGJRUWuzK+YICFKCAJwIMCHmixDoUoAAFKECBwBI4mluGKR/scujU5MtboG+bBLz67QFs2J1nt71FgyjMvKGdXRlfGENg4548/OubAw6dZUDIgYQFXhRQ3hDQeihfBYQ2bdqEIUOGYOjQoVi2bBnKy8vRvn17nDp1CpdddhlWrFiB8HDpc5QdO5CYmKj1NFifAhSgAAV0FGBASBsmA0LavPSszYCQnppsy6gCyusBBoSMOpJ16DcDQnVA4y4UoEDICIhQUFRYpHy+FmnGHz3DQaJRZwEhLi8WMm8vnigFvCLAgJBXWNkoBShAAQpQwKsCmdmlePTjdIdjPPT3VujRIg5vfn8Qa3bm2G1vXC8CL44+z66ML4whIMZSjKnywYCQUoSvvSmgvCGg9Vi+CgjNnTsXjz/+OBYuXIiRI0diw4YNuOiii3DjjTdiwYIFmD17NmbMmHFmu9bzYH0KUIACFNBPgAEhbZYMCGnz0rM2A0J6arItowoorwcYEDLqSNah3wwI1QGNu1CAAkEtEC6FgiK9GAqyxVMGhIqlWYP25UXhUOHpUJJtXT6nAAUo4IkAA0KeKLEOBShAAQpQILAE9mYV48nFexw69fg1rdGpaSzeWXUIK9NO2W1vEB+OuTd3sCvjC2MIrNh6EgtXH3boLANCDiQs8KKA8oaA1kP5KiD00EMP4Y033sBPP/2E3r1747333sPEiRMxZ84cTJgwAStXrsSVV16J6dOnY+rUqVpPg/UpQAEKUEBHAQaEtGEyIKTNS8/aDAjpqcm2jCqgvB5gQMioI1mHfjMgVAc07kIBCgSlQG0wyBszBamBKQNCWcViebFYlFaZ1XZhOQUoQAGXAgwIueThRgpQgAIUoEBACuw8UoRnlux16NtTI9qiXWo0Fv10BN9tzrbbnhgThtdv62RXxhfGEPj6jxP4cO1Rh84yIORAwgIvCihvCGg9lK8CQrNmzcIzzzxzZoagBx98EG+++Sa++uoreSah7777Dtdeey2mTZuGRx55ROtpsD4FKEABCugowICQNkwGhLR56VmbASE9NdmWUQWU1wMMCBl1JOvQbwaE6oDGXShAgaARqA0FiROymKUlxMxWn56bMiB0uDACW0/G+bQPPBgFKBBcAgwIBdd48mwoQAEKUCA0BLZmFmDWl/sdTva5G9qhZYMofPzzUSz7/YTd9phIC+aP72xXxhfGEPjvxix89kuWQ2fbNIrGjOvbOpSzgALeEFDeENB6DF8FhGqXFOvYsSPuvvtuebmxiooK7N27FwkJCfJrsQyZmFno+uuv13oarE8BClCAAjoKMCCkDZMBIW1eetZmQEhPTbZlVAHl9QADQkYdyTr0mwGhOqBxFwpQwNAC/g4F2eLZBoQKK04vL3akiMuL2RrxOQUooE2AASFtXqxNAQpQgAIUCASB3/fn46VlGQ5deWF0ezSpFymHSUSoxPYRHmbCwru62hbxuUEE/rPuKJb+Zh/4El1vlhyJWTe2N8hZsJtGF1DeENB6Pr4KCIl+3XrrrVi8ePGZLj722GNyMGjnzp0YOHAgTCYT0tPTkZiYeKYOn1CAAhSggO8FGBDSZs6AkDYvPWszIKSnJtsyqoDyeoABIaOOZB36zYBQHdC4CwUoYDiBQAoF2eJZTRYkmaOQYI7AMWl5se0nY1FezeXFbI34nAIU0CbAgJA2L9amAAUoQAEKBILAL3ty8co3mQ5defmmDkhJCMeXvx7H4vXH7LZL98Px73u62ZXxhTEE3v/pMJZvPunQWTHWYsz5oIAvBJQ3BLQe05cBoaqqKixZsgQ7duxAv379cNlll8ndLSkpwYgRI3DJJZdg8uTJWk+B9SlAAQpQQGcBBoS0gTIgpM1Lz9oMCOmpybaMKqC8HmBAyKgjWYd+MyBUBzTuQgEKGEagNhjkj+XDPEWqnUXokLS8WBqXF/OUjfUoQAEVAQaEVGBYTAEKUIACFAhggbU7czDv+4MOPXztto5IirHi6z9O4MO1Rx22vz+xK8LMUlKID48EVm8/hX1ZJdKsTBEY3r2+R/t4o9L8Hw7hR6kvykdCdBjeGNdJWczXFPCKgPKGgNaD+DIg5KpvZWVliIiIcFWF2yhAAQpQwEcCDAhpg2ZASJuXnrUZENJTk20ZVUB5PcCAkFFHsg79ZkCoDmjchQIFliSaAABAAElEQVQUMIxAlDUKceFxAd1fERCKrk7A3txoaRYhfqgV0IPFzlHAAAIMCBlgkNhFClCAAhSggEJg1bZTeHvlIUUp8Nb4zoiNtOD7rSfx3urDDtvfntAFUeGcgdQBxkmB8BXOtY/erePxwBUta1/69Odr32VifXquwzHFWIox5YMCvhBQ3hDQesxACQhp7TfrU4ACFKCA9wQYENJmy4CQNi89azMgpKcm2zKqgPJ6gAEho46kxn6bTJWIikmDxVKgcU9WpwAFKGAMAaMEhKpLk7H9VCwqqvntX2O8s9hLCgSuAANCgTs27BkFKEABClBATWD5lmy8/+MRh83v3tkFEVYzxMw3C6RZZ5SPebd3QnxUmLKYrxUCpworcO/CHYpS4Onr26Jto2iHcm8XvLQsA7/vz3c4jFnKen0wkcvGOcCwwCsCyhsCWg/irYDQqlWrsGzZMlx33XW48MILsXz5cnz33Xduu3fVVVdh0KBBbuuxAgUoQAEKeE+AASFttgwIafPSszYDQnpqsi2jCiivBxgQMupIaux3RGQGrOHHYDJVaNyT1SlAAQoYQ8AoAaGKkmQuL2aMtxR7SYGAF2BAKOCHiB2kAAUoQAEKOAgs+/0EPv7ZcQmxD+7pBrGC2M+7cvDGcsclyF65tSOSY60O7bHAXmCt5DfPid+Ygam4rEcD+8o+eDXzi33YdrDQ6ZHeu7srrBZ+ccQpDgt1FVDeENDauLcCQnPmzMG0adMwd+5cjB8/Hs8//zyeffZZt92bNWsW7r33Xrf1WIECFKAABbwnwICQNlsGhLR56VmbASE9NdmWUQWU1wMMCBl1JDX0OzwiE+ERRxgO0mDGqhSggPEEjBAQMlXGoKAwBVnF4cYDZo8pQIGAE2BAKOCGhB2iAAUoQAEKuBX476bj+GzDMbt6FikZtGhiV7ls4948/OvrA3bbxYuXxp6HRolcptgBRlHw301Zkm+WohS4pl9DjDi/oUO5twumf7oHe44VOz3M/Ds6IybC4nQbCymgp4DyhoDWtr0VENq7dy927dqFLl26oHnz5tizZw/S09Pddq9jx45o1aqV23qsQAEKUIAC3hNgQEibLQNC2rz0rM2AkJ6abMuoAsrrAQaEjDqSHvab4SAPoViNAhQwvIARAkJFJfHIzm2Eyhp+S9TwbzieAAUCQIABoQAYBHaBAhSgAAUooFFgsRQO+lIKCdk+IsPNeGdCF7noj4x8/HNphu1m+fmsG9ujWXKkQzkL7AU++OkIvt2cbV8ovbppUGMM717fodzbBY9+nI7M7FKnh3lVmhWqHmeFcmrDQn0FlDcEtLburYCQ1n6wPgUoQAEKBI4AA0LaxoIBIW1eetZmQEhPTbZlVAHl9QADQkYdSQ/6LZYTi4pJg8XifCpjD5pgFQpQgAKGEbCYwxBjjUZkWOB+aF5QHI/juamGMWVHKUCBwBZgQCiwx4e9owAFKEABCjgT+HDtUXz9xwm7TXFRFrx5e2e5LE1ajup5aVkq5eOZUW3ROiVaWczXCoE3lmdKy7TlKkqBURc2wt97pziUe7vggUU7kZVX7vQw/5RmhUrlrFBObVior4DyhoDW1n0VECorK0NBQYFD9+Li4hARwRnUHGBYQAEKUMCPAgwIacNnQEibl561GRDSU5NtGVVAeT3AgJBRR9KDfkdE7oc1/Ji0tFilB7VZxSgCVVVx0piWw2wuM0qX2U8K+EwgkGcRKquIxKn8ZBSXxfrMgweiAAWCW4ABoeAeX54dBShAAQoEp8B7Px7G91tO2p2cmEVGzCYjHruOFmHGZ3vttosXT17XBuc1jnEoZ4G9wIwl0pJFR4rsC6VXV/VJwcj+jRzKvV0w8d3tyC1y/rnczBvaoUWDKG93ge1TAMobAlpJvB0QWr58OZ577jn89ttvqKmpceieyWRCv3798MQTT2DYsGEO21lAAQpQgAK+F2BASJs5A0LavPSszYCQnppsy6gCyusBBoSMOpJu+p0UexLVYftQXeN8GmM3u3NzAAhUVcWjqjIe1dXiGzJn16SvroqUQ18m8+kPmEyogkkKC4VZT0qhoZIA6Dm7QAH/CQRyQKiwJE6ePaiGy4v57w3CI1MgyAQYEAqyAeXpUIACFKBASAgsWHkIq7edsjvXhonhmDO2g1y273gJpn2y2267ePHo1a3RpRm/bOAAoyi4Z+EO5BRWKEqBS7sl4+bBTRzKvV1w+1tpKCmvdnqY6SPaoH0qQ19OcVioq4DyhoDWxr0ZEPr4448xfvx4ORjUoEED1KtXz6F7J0+eRHZ2tvS5pxkLFy7EiBEjHOqwgAIUoAAFfCvAgJA2bwaEtHnpWZsBIT012ZZRBZTXAwwIGXUkXfRbhIMSYnOQX56NiirHD0Vc7MpNfhKorEySw0A1NVapB2a5F9VVUVI4KFK6QA6TXpuki+BSKQQkXQxbToeAqipjUV0Ve3a7VC6WlTv9qJFnGbKGn5D2K/6zjD8oEPwC3g4Iid+pJZUlCLeEa17KjMuLBf/7j2dIAV8LMCDka3EejwIUoAAFKHDuAs6WwGqaHInZN7aXGz90shQPf5TucKApV7ZEz5bxDuUsOCtQUVmDW+ZtPVtg82xgxyTceXEzmxLfPL3p9a2oqnacEUUc/ZGrWqFr8zjfdIRHCWkB5Q0BrRjeCggVFxfjvPPOQ15eHt577z1ce+21ql1bvHgxxo0bh/r162Pnzp1cckxVihsoQAEK+EaAASFtzgwIafPSszYDQnpqsi2jCiivBxgQMupIqvQ7TJpVplHyIdSY8lBUUSR9CFGlUpPF/hKorEz+Mwx0Ovgj+lFdFS2FgaKksI+YKcgkd00sI2YNP3464GMSgZ9KWCyFcvBH3qdGCg9JswvJ+0j71Yhgkc1nTiJcJM88JM9WYkJYeJa0v+M63vLB+H8UCBIBbwaERDiosKJQDl5qPU5ZubS8WEF9aXkxfjs0SN5qPA0KBISA0QNCOTk58jeBtWKKbxYnJiZq3Y31KUABClCAAgEh8K9vDmDjnjy7vrRKicKzo9rJZVl5ZXhg0S677eLFpMtaoF/bBIdyFpwVOHyqDFM/dLQTNfq2ScDky1ucreyDZ5VVNbj5DeeBJXH4B65oid6tGfrywVCE/CGUNwS0gngrICSWFrvmmmtw0003Yd68eW67dfvtt0PMOLRs2TIMHTrUbX1WoAAFKEAB7wkwIKTNlgEhbV561mZASE9NtmVUAeX1AANCRh1JJ/0WsZJ68ccRH52P/IpTKK8qlwIjNokRJ/uwyHsC9kuEiVmBTgd/qqtipECQFAayWTZM9ELM/mOVQjy1M/7IgaCwgjOBIK09ra6JkINHkGYgkuJFUjgoX56FSGs7rE8BIwloDe54cm61swZV1VSdmZVN63HE7EEnchvJ/y16ckzWoQAFKOCJgNEDQnPmzMG0adM8OVW7OrNmzcK9995rV8YXFKAABShAAaMI/HPpfvyRYf/lnfMax+DJ69rIp3BSWh7rPmmZLOXj7kub4S/nJSmL+dpG4P8y8vHi0gybkrNPxfJsYpk2Xz6Kyqpwx/xtqoecOLw5LmzP0LMqEDfoJqC8IaC1YW8FhObPn4/7778f//rXvyDCP+4eIkQ0ZcoUvPbaa7j11lvdVed2ClCAAhTwogADQtpwGRDS5qVnbQaE9NRkW0YVUF4PMCBk1JF00u+kOGlpsZgclFUVoLiiGNU1ztc4d7Iri85RoLIyUQrjxEuzAIVLLdUuERb556xAYqag02W2hzGhUlourEhaNixHDgGZTFWwhOXXORBk2zafUyBUBSzmMMRYozUv/6XmZTtrkG0d7QGhBByXAkJ8UIACFNBTwOgBoSVLluD999+3I/n111/lJQYGDRoEq1UsvXr6kZmZid27d8szB73xxhu46qqrajfxJwUoQAEKUMBQAs9/sQ9pBwvt+mwbXikoqcSdb2+32y5ejL+oKYZ0qudQzoKzAt9vOYn3fjx8tsDmWZtG0ZhxfVubEu8/PSWFve51EvaqPfLtw5piaGeOaa0Hf3pPQHlDQOuRvBUQqv3CwMKFCzFy5Ei33froo48wfvx48AsDbqlYQWeByspK/PHHH/j5559RVVWFTp06oV+/fkhOTtb5SGwuUAWysrKwdu1apKWloVWrVujcuTN69+4dqN31Sb8YENLGzICQvZcvf68yIGRvz1ehKaC8HmBAKEjeB0mxUjgoNgcWcxVySnNQUV1ht9xUkJxmQJ1GZWWStFRYkjRJU9ifS4RJS35Jz2tnClJ21oRqKRBUDIv1JMymMikIVA2TuUyeMUjMFsQHBSigj4DW8I7aUdXCQaK+lmOI5cVOFjRASVm02qFYTgEKUKBOAkYPCClP+siRI+jSpQtGjBgB8W1i20eNNCumuBnw+eefY8uWLWjatKntZj6nAAUoQAEKGEZgxpK92HWkyK6/PVvGYcqVreSy0vJqjHsrzW67eHHL4Ca4pBtvRDrA2BR8uPYovv7jhE3J2adN6kXghdHnnS3wwbNjuWV48APnS56Jw48d1Bh/7V7fBz3hIUJdQHlDQKsHA0JaxVg/mAR+//13XHvttThx4gTCwqSZ+qVrUxESmjFjBh588MFgOlWeixMBMdb33Xcf3nvvPXlrREQEysrKIH6eOnXKyR6hU8SAkLaxZkDorJevf68yIHTWns9CV0B5PcCAUJC8F5rWP4CI8FIUVRShpKKEswd5cVwrK+tJwaBE6X/SjEHScmE1TmYHEocXgSCTuVSaISj79NJeJqmmuVz6X6EUDmIgyItDxKZDXEBLeMcZlbMlxZT1tByDy4sp9fiaAhTQSyDYAkJz587F448/Ln8rr2fPng5M4tt6w4cPx+zZs3HPPfc4bGcBBShAAQpQwAgC0xbvxr6sEruu9mubgEmXtZDLqqprcNPrW+22ixejB6Ti8p4NHMpZcFZg7tcHsGlv3tkCm2f1Yq149daONiXef3rgRAke+89u1QON6t8If++TorqdGyigl4DyhoDWdr0dEHr99ddxzTXXuO3W4sWLMXnyZM4g5FaKFfQSWLVqFUaNGoWGDRvipZdewoUXXigHhNavXy/PbitmEeIjeAXKy8sxduxYLFu2TP7dc/PNN6Ndu3bYtWsXxHsg1Jc6ZEBI23ufAaHTXv74vcqAkLb3KmsHp4DyeoABoSAZZxEQqjHnygGhquqqIDmrwDoNd8EgkxQVEjMChVlPSCEg6cM+KRBkMlXAYhGBIGlGJz4oQAGfCGgJ7yg75GrWINu6nh6jssqKnMJ6yC9KtN2dzylAAQroIhBsAaGpU6dC3BxYsWIF+vfv72D03Xffyd/cFPWmT5/usJ0FFKAABShAASMIPPJROg6eLLXr6l/OS8TdlzY/Uzb2tS3SF7/OvJSfjJTCJFcxTGKPonj1uBTGyZBCOc4e0RFmLLiji7NNXitLP1qEpz/bq9r+1X1TcP0FXIpaFYgbdBNQ3hDQ2rC3A0Ja+8MlxrSKsX5dBMTyN2IZqaioKCxfvhwpKQx01sXRyPu888478uxB/JKS81FkQMi5i1opA0KAv36vMiCk9q5keSgJKK8HGBAKktGPjSqAJXw3qk3F0tJiik+RguQc/XUaroJBJlM5rOFZNoGgSikQVMBAkL8Gi8elgCTgaXjHFsuTWYNs63t6jKLSWGTnpUAEhfigAAUooLdAsAWEFi1ahLvuugti9iDxoX+TJk3OkGVkZOD+++/H7t27Iepdd911Z7bxCQUoQAEKUMBIAg9+sBPHcsvtujykUz2Mv+js8pm3vZmGsopquzrX9EvBiPMZJrFDUbwYP38bisucf2nOZAL+fU83xR7efbn1YAFmfbFf9SCX9ayPMQMaq27nBgroJaC8IaC1XW8FhN59912IWUS1Ph566CF5Vg+t+7E+BbQIfPLJJ7jtttuwcOFCjBw5UsuurBsEAmIpuR49ekj3fcwQyyGZxB8SfNgJMCBkx+H2BQNCgL9+rzIg5PbtyQohIKC8HmBAKEgG3WSqRlTMFjmcEiinVFFRH5awAphNZYHSJU39qKxIlpYRS5DWFE6QlhKLlpcSEzMBnQ4ESUEs6SGWChPnKIJCfFCAAoEh4Gl4p7a3ns4aVFtf/PT0GGJ5seO5qba78jkFKEAB3QSCLSBUVlaGSy+9FL/++quq0cCBA+XpvcPCwlTrcAMFKEABClAgkAXuXbgDpwrtZxm+pFsybhl8Nhg7YcE2FJbaB13+1qsB/vEXXluoja3wEm6uHu/c2QWRVrOrKrpu+21fPub8L0O1zYu6JOO2oWfHXbUiN1DgHAWUNwS0NuetgJDWfrA+BXwpMHjwYBw6dEheTorXn76UD4xjiVmjxNKHL7/8Mu64447A6FSA9YIBIW0DwoAQ4K/fqwwIaXuvsnZwCiivBxgQCqJxjo79v4AKCJUUd5B0zVKf8qVQzQkpRKNPUKiivJEU2omV2hap7drkdg3CI45Iie6icxrRysokKRSUKE3CZJWOEYOa6iipzWJp2bCTcgjIZKqSAkH5DASdkzJ3poB3BSzmMMRYoxEZFunyQFpnDbJtzJOAUEVlOHLF8mLFCba78jkFKEAB3QSCLSAkYMrLy/H+++9j3bp1OHbs2Bmr1NRUiHDQmDFjYLVyVrYzMHxCAQpQgAKGE7jz7W0oKLEP/1zeswFGDzgb/rnn3e3IKaq0O7fh3evjpkGcbcYOxebFvuMlmPbJbpsSx6ev39YRiTG++ztiXXouXv8u07Ejf5YM6JCEuy5pprqdGyigl4DyhoDWdhkQ0irG+kYXELPHJCcny9eg//3vf7Fx40Zs2LABpaWl8qwy4ostYmYZPoJX4P/ZOw/4KIq3j/9S7i69kEYSCCWEHopIUVApoiAqNsQKqFQV5G9XigUUK6CCVCkiTYVXRQQRKyBd6S0QkhASSEjvyV3y7my8cLt7udySvcvt3TN+4u088+zszHc2R3b3t8/z4Ycf4s0338Tvv/+OZs2aYceOHTh69CiaN2+Ofv368Z/OO3vrZkYCIes4Gb1cXSDUkN+rJBAynoX06coExNcDJBBymrOhCj5+hx1MINQOLAqPu3sZvHxOKTK28rJoMIEQE+y4u5dwD5Giueg+vvwqanUpnEgonRfvVAt9gv+L9mNZNMQiBOkrgnlREOuruj83aJjgyKOQH7+7RxEnRRLenHOaU4cmQgSckEBdAp5yQzmKKorARELXUurqn/VZVMLSi0VAX0lRLq6FMe1DBIhA3QScUSBU96zJgwgQASJABIiAugk8tegYSsuF6cOGXh+OB2+4mj7sf1+eQkaeMFJx/46N8FS/q2nI1E1B+dHvPZuHT7ckW+z4o8faIDJYZ9FHycbfj2dj6W+ptXbZPTYQk+9oVms7NRABpQiIHwjI7ZcEQnKJkb/aCbCXVWJjYzFq1CiwSLdr164F+z0oLq7OKnDjjTdi1apVaNz46r/dap8zjV9IYOLEiWBpEL/55hs89dRTKCwshFar5UVi3t7eYAKiJ554QriTi9VIICRvwV1dINSQ36skEJJ3rpK3cxIQXw+QQMhJ1pkJWLw5EQ6LduMohQlvSotjUVnpAx/fY1zkndxrHpoxahBL+cXEQSxaEEvrpeei/VSUNeFTgbm5l3NCpNN8xKLSkjjoy8O5Y+ZB532e4yIVCVX36c+nD2NjrKry5ERAVTXCIE9uX6WiHl3zxGlHIkAEromAJQFPfcVBbECW+jcOuICLHJSRSzcKjDzokwgQAeUJkEBIeabUIxEgAkSACBABWxMYMf8oDJVVgsM80CsC93aPqLG9vPo0LmYLozDfxEWbGU/RZmoYiTd+/CcTa3eli82C+ozhcWgZ7i2w2bKy9fAVrPorrdZDdG7mj5fvblFrOzUQAaUIiB8IyO2XBEJyiZG/2gmwiEEsSkxAQAAvFFqwYAHi4+ORnZ2NN954gxeODB06FGvWrFH7VGn8tRBg67t9+3Y+ktTzzz+PMWPGgH2XskhCo0ePRkZGBnbu3IlOnTrV0oPzm0kgJG+NXV0g1JDfqyQQkneukrdzEhBfD5BAyEnW2cv7LDy1GZzARRimuqGnV1zUkRPvBHMCoaPXLBCqjhoUyQt4WFQfrfaSIMWXwcCJfCq9UF7WFB6cEIgJhfQVobwNnOBHq7v4n6CojIs+FMGlDvPnsLjzoqLKSh2fpIzt46nJ4CIGcenESBjU0KcNHZ8I1JuAOQEPEwaV6kthqDJcc+Qg48DM9W9sY5/lLL1YQQiXOiDA1EzbRIAIEAFFCTirQIjdaFu+fDlOnjyJ1NRUsJuxcXFxSExMRFFREX9jVlGQ1BkRIAJEgAgQATsRYLqgx+cdkRzt4d6RuPO6sBr7lHUJSMosqamzjZ5xgZg0iKLNCKCYVJb/cRHbj2aZWKSbU+5tifZNWMp6+5TvD2Tg691XU6aKj9o22hfT7osVm6lOBBQnIH4gIPcAJBCSS4z81U6ACUOYQMTf3x+HDh0SRApiaXJ69+6Nw4cP8ymnWrZsqfbp0vjNEGACMSZomDx5Mt555x2Bx6ZNm/DQQw/xP1988YWgzZUqJBCSt9quLhBqyO9VEgjJO1fJ2zkJiK8HSCDkJOvs43dIkRReSuNgqb7KSlpy4psr/4l0rE/nY4wapK9oxA3Ljd9fo70sEAeZjtfARRMqK43hhEF+nJiI5QB245tZijOWKszNTc+JggK4Ng+uXsIJgXKq+3Kr4j4NfOQhNzfrx2d6bNomAkTAsQiIBTxKRA0ynaG4f9M2tl1Y4s+nFzNUeoibqE4EiAARUIyAMwqEWPju8ePH82G7jaB27dqF9u3b4/rrr+f+jqvCwYMH+dDexnb6JAJEgAgQASKgFgJl+ko8ueCYZLgjbo7C7Z1Da+xvfnsWCenCCNHXtQzAC0Oa1/jQhpDA+z+cx5HkAqFRVHue49eN42iv8s2eS/huf0ath2vBRTOayUU1okIEbE1A/EBA7vFIICSXGPmrncCJEyfQvXt3DB48GN9++61kOkww8u677+Lrr7/GkCFDJO1kUD+BRx99FN999x0fJahr166CCVVUVPCRhTp27Ii///5b0OZKFRIIyVttVxcINeT3KgmE5J2r5O2cBMTXAyQQcpJ1tqVAqJxL4QVOQKPhRD7XIqApLopHFRfhR8NF/rEk8DFdCmPUIBYZiKUSY1GANCxCUh0CHiYSYlGBTAtLdebuXsrtWx2em4mBWMQgFi3IDXpTV9omAkTASQgYBTxKRg0yRWPs39Rmuk3pxUxp0DYRIAK2IuBsAqGzZ8+iR48e3N9sbpg0aRIyMzP5SEJMINSlSxdMnDiRD+W+bt063HXXXbbCSv0SASJABIgAEbAZgcJSA8YtOS7p/6n+TdC/A3s5qrq883+JOJFaaKzyn/Ex/nh1KKWjEkAxqbz41Wmk5wjTspk085tP39YUvdsEi802q3+1Iw1bDl2ptf/oRjp88GibWtupgQgoRUD8QEBuvyQQkkuM/NVOIC8vD1FRUfx1J7v+FJeFCxfihRdewIoVKzBs2DBxM9WdgMDLL7+M+fPnY8+ePWajGDdt2pQXCbEIU65aSCAkb+VdXSDUkN+rJBCSd66St3MSEF8PkEDICdbZjYuA4+N7mBO8WH5T6lqnWlzUiRP46PgoPB7cMaqFOuVWd8eiCFVVavm0X3Cr5MU5Wm0aJ9oRhstmHV6NGhTCvSGu5X1YWjGNJrNOcVBtA6qs9Ob3ZRGEqBABIuAaBDzcPaHhfpRIJ2aOmCWBUHmFDjmFIXwUIXP7ko0IEAEioBQBZxMIGW+yzp49G+PGjcPHH3+M6dOnwygQMoYjnjJlCl5//XWlMFI/RIAIEAEiQATsRiCnqALPLjspOd74gU1xU9urwpUPuGg4h0XRcCgdlQSbwDDy86PQG7gcbhbKE32jcWt8iAUPZZu++D0Vvx3LrrXTUH8NPhnVrtZ2aiACShEQPxCQ26+tBEIbN27EqlWr+L/tWbQWFo1l7dq1eP/999G6dWu5wyR/IqAoAfaSSllZGY4fP849o2DZCq6Wl156CZ9//jn279/PR7u92kJbzkKARTceNWoUv84jR44UTCsnJwdNmjTBPffcg9WrVwvaXKlCAiF5q+3qAiFGq6G+V0kgJO9cJW/nJCC+HiCBkBOss9aTi7DjfYxLkVWCKvYfl3pBqVJREYby0uZcVB4vvksWzcfDM79auMNFBGKReawtRqEQEwG5uVf8J9qp4CMLsX5Mowax9GDuHkVc+og0Pj0ZiXuspUx+RIAI2IOAJYEQSy+WmdsYlXyqQ3uMho5BBIiAqxJwNoHQ1KlTMWfOHPzyyy+48cYbJQKhzZs348EHH8SMGTPw/PPPu+qy07yJABEgAkRAxQQy8svxv5WnJDOYNDgGPVsF1djnbE7CgcT8mjrbiG3sg7eHtRLYqFJNIKugApNWSIVXYj4P3dgYd3ULF5ttVv98Wwp2nc6ttX9/bw8sHN2h1nZqIAJKERA/EJDbr60EQuxvf3YNwNI1sSgsLFrHJ598gvXr10Oc0sd0zEFBQfD19TU10TYRUJzAkiVLMHnyZP6cHD16dE3/LNJt586dERERgQMHDnDPZDxq2mjDeQiwNGIs1Tn7/mMvLfn5+dVM7o033sBHH33ERzgePnx4jd3VNkggJG/FSSAENNT3KgmE5J2r5O2cBMTXAyQQcoJ1Dg3MgN4tCZWo4AVCnELommfFRDqemmxeAMQ6KSlux0X+YW9XuQn6ZGm6PDxzeYGQRpte4y9wqqXCpwGr0nHRgiJQafDh/ojO5wVD+opGfNQgthtLJabzSubGwiIHUeSfWlCSmQgQgQYiYEkgROnFGmhR6LBEwAUJOJtAaMOGDRgxYgTYDTZ202Du3Lk1EYTatWvHv533119/4ccff0S/fv1ccMVpykSACBABIqB2AhezS/Hy6jOSabxwZ3Nc1yKgxj7v5xTsPiMUlsSEemHWwxRRowaSycaptCLM2HDOxGJ+857u4RjWq7H5RhtY5/6UjP3n8mrtWadxx7LxHWttpwYioBQB8QMBuf3aSiD0008/XVN6plmzZvEpieXOg/yJgBwCxcXFGDBgAI4dO4ann34a/fv3R2pqKi8MuXjxItj526dPHzldkq/KCLCIZmPHjkXbtm35lOehoaH8/YiVK1fy9yTYvQlXLiQQkrf6JBACGup7lQRC8s5V8nZOAuLrARIIOcE6NwlNBjzyUFheCEOloV4zKi6K5wQ7XOQeXSonzCkHSy9m0Ada6LMSnpxQyM2di2Kku8gJhYot+AqbDIYAPjKRvjwMBgM7RuV/0YRKuGMzAVIeLxQS7kU1IkAEiEDDE6hNIFTG0osVhKKo9OpbJQ0/WhoBESACzkrA2QRCRUVF/E02FsK9VatWCAgIwD///IN7770XBw8eREpKCn8DlkUS8vT0dNZlpXkRASJABIiAExNIyizBlHUJkhm+OrQF4mP8a+yLtl/AXydzaupsIzJYh48eayOwUaWaAGPFmNVVbu8cihE3R9Xlplj7+1yquCOiVHHizldP7CQ2UZ0IKE5A/EBA7gFsJRBi41i6dCkvtMjPz8eFCxd4AUbHjh3h73/1O1E83vHjx+OBBx4Qm6lOBBQnUFBQgDFjxmDr1q1gEWVYYWKRBQsWoEePHoofjzp0PALff/89XnjhBaSnp/OD0+l0fEr0N998E2zblQsJhOStPgmEqnk1xPcqCYTknavk7ZwExNcDJBBygnVmAiGdthQ5pTmoMFT/oXqt0yotbsOJdQI4oU46H7mnvKwJJ+LxrrM7JihiAiEmKpJbDAY//hhuXPwjEgXJpUf+RIAINASB2gRChcUByMzjoqNRerGGWBY6JhFwOQLOJhBiC8jeyGQ335gIyDRtrru7O/8Q4IMPPkBYWJjLrTVNmAgQASJABJyDQMKlYrz5zVnJZKbdH4u2UVfT5Sz7/SJ+PZYl8AsN0OCTke0ENqpUE9iw9zI27rtcJ46b2wVj3K1N6/RTyuFtLqrRaS66kaWybEJH6DzdLblQGxGoNwHxAwG5HdpSIGQ6lnXr1mH16tV8hJY2bUgQacqGthuWQElJCU6cOIGYmBi6Hm3YpWiwoycnJ4MJGZlATKPRNNg4HOnAJBCStxokEBLysuf3KgmEhOyp5poExNcDJBBS+XnAEn9FKygQMhj8UVocx/VafXOispKpoC3fqKiPOEjl+Gn4RIAIuCiB2gRClF7MRU8ImjYRaCACzigQMqJkN99OnTqFy5cvIzIyEizFWJMmTYzN9EkEiAARIAJEQJUETqQW4p3/S5SM/e0HWyE2wqfGvmpHGrYeulJTZxuBPp74/Kn2AhtVqgks/OUCdpwSRlwyx6ZHq0A8N7iZuSab2KasT0BSRonFvheMbo8Ab4qMaBESNdabgPiBgNwO7SUQkjsu8icCRIAIEIGGI0ACIXnsSSAkj5eS3iQQUpIm9aVWAuLrARIIqXUl/xt3sH8WAn1z4OFuUCSCEOu27rRiV6GxlGJePqe5tGSFV420RQSIABGwMQGthxbubu4o1Zfa+EjmuzcnECor90Y2l16suOzqjX3ze5OVCBABIqAMAWcWCClDiHohAkSACBABIuBYBA5z6aY+4NJOicush1sjJtSrxrzu73RsOphZU2cbPjoPLBnbQWCjSjUBayL1MM/4GD+8OrSl3bC99NVppOWUWTzeJ6PaItRfa9GHGolAfQmIHwjI7a8hBEK5ublgqYeLi4vh6+sLlnaMpSCmQgSIABEgAo5BgARC8taBBELyeCnpTQIhJWlSX2olIL4eIIGQWleSG3ewHycO8qsWBxVVFKOE+6msqqz3jFiaMX1FKJfwy3LkIDc3A3Re5+GpyeTTkdX7wNQBESACRMAKAkwc5Kv1hd6gR0F5gRV7KO9iTiDEogdl5jbmvjupEAEiQATsQ8DZBEJFRUVguchDQkLMhuwuLS0Fe1Dg7+/PPySwD2U6ChEgAkSACBAB5QgcOJeHOT8lSzr86LE2iAxmEZyri7mUWRpPN6yYEG90oU8TAhOXn0R2YYWJxfxmXGMfvDmslflGG1gnrTiJrALL4/rg0daIbnRVHGaDYVCXRADiBwJykdhTIJSRkYHJkydj06ZNqKy8ep/bw8MD9913H2bPno1GjRrJnQL5EwEiQASIgMIESCAkDygJhOTxUtKbBEJK0qS+1EpAfD1AAiGVrqSpOIhNIac0BxUGyzcdrJ2qMc1YZaWvxV10uhRodGmcOEiZ41o8GDUSASLg8gSYMMjL04uLmOYBjbsG+ko9ijlhZENEERILhPR6L+Ry0YPySix/b7r8IhIAIkAEFCXgbAKhWbNmYebMmfjtt9/Qs2dPCavvvvsOjz76KN577z1MnDhR0k4GIkAEiAARIAKOTmD3mVzM+zlFMkxxFJkfDmZg/d+XJH6rJ3aS2FzdoDdUYeTnR63C0CTEC+8/0toqXyWcxi05jsJSg8WuZgyPQ8twb4s+1EgE6ktA/EBAbn/2EgiVl5ejR48eSEhI4NMM33TTTfzLAfn5+fjzzz/BxEPx8fHYtWsXF83eQ+40yJ8IEAEiQAQUJEACIXkwSSAkj5eS3iQQUpIm9aVWAuLrARIIqXAlWTqxyJAL0GmuhilWUiDEkNSVZkyruwAtLw4qVyFBGjIRIAJqI2CMGsSEQaaloURCYoFQUUkAruQ15kRLbqbDo20iQASIgE0JOINAKDU1FV9++SXPaceOHfjrr78wcuRINGnSRMKOPQj4448/+LeGx40bJ2knAxEgAkSACBABRyfw18lsLNqeKhnm50+1R6CPZ419y6FMfLUjvaZu3FjxdDw0HnTNYeTBPlkKL5bKS1x0GneUVVyNPsLaQ/w1+HRUO7GrzeqjFhxFhd5yjNlp98eibRS9aGKzRaCOeQLiBwJysdhLILR27VqMHj0aQ4YMwerVqwVRRcvKyvDAAw/wLxOsWbMGQ4cOlTsN8icCRIAIEAEFCZBASB5MEgjJ46WkNwmElKRJfamVgPh6gARCKltJN7cqNPLPRIBPPtw5oZCxKC0QspRmjMRBRur0SQSIgD0I1CYOMh67RF+CgjL7phozFQh5u2lQUhKMc9nBxiHRJxEgAkTALgScQSC0Z88eDBgwwGpegYGB+Pvvv9G8eXOr9yFHIkAEiAARIAKOQmD70Sws/+OiZDhLxnWAj/ZqNIxa/cZyfrqrfpKOXNBwOLkAH/xwXjLzuEgfJKQXC+y+HLvFHEN7lCpOF/TYvCN1Hurlu1ugczP/Ov3IgQjUh4D4gYDcvuwlEJoyZQrmzp2LzZs3o2/fvpJh/vjjjxg+fDimTp2K1157TdJOBiJABIgAEbAfARIIyWNNAiF5vJT0JoGQkjSpL7USEF8PkEBIRSvphioE+2chwDeXS7FzVRzEpqC0QMhcmjF391J4ai9Dq73EpRWjyEEqOnVoqERAtQTqEgexiRkqDSiqKLJZqrGK0nLkZxSgKKsAFSUVqORC2Htyac68dd7wCfBFUGhTQBeHPL2PajnTwIkAEVAnAWcQCGVmZmLr1q38ArAb/uznpZdeQmxsrGRRmDioT58+aNSokaSNDESACBABIkAE1EBgy6ErXGSgNMlQxZGB/uQiDS22ItKQpCMXNNQmphoQH4JfOUGWaXF3B1Y9Y580baVc9KKnFh4zPbzZ7efuaIYesYFm28hIBJQiIH4gILdfewmEWCrhGTNmYMWKFRg2bJhkmMuXL8ezzz5LKYclZNRlSExMxIkTJ8wOOjo6Gl27djXbRkbLBNh1tV6vN+vUr18/+Po6RrQ6Wn+zS6RKIwmE5C0bCYTk8VLSmwRCStKkvtRKQHw9QAIhFa0kEwhFh6ZApy0VjLqoohgl3E9llTB0ssDpGirGNGPsuBpdKjw887n8zvmcOMj8H5rXcAjahQgQASJQKwFrxEHGnW0hEirJL0F28hUUZBaglNsuKyyDvrwCBn21QFOj1UDnrYPWNxgevhHwC20G/8at4KH1Mg6LPokAESACNiXgDAIhU0AnT57E8ePH0b9/fxIBmYKhbSJABIgAEXAaAj8czMD6vy9J5rN6olC08veZXMz/OUXi98motgj110rsrmxYsysdm//JFCDQeLrhoRsiscqMGGvZhI7QeXJKIRuXvGI9nv7C/ANw00NPGNgUfdpSNFpTJrStPAHxAwG5R7CXQIhFCh04cCAiIyOxcOFC3HLLLXyasfLycmzfvh0TJkxAVlYWWOrhzp07y50G+TsIgVmzZmHmzJlmR8MiRC1btsxsGxlrJ1DFha1jL9QYDMKXyo17HDlyxOxLOMZ2e37S+tuTtm2PRQIheXxJICSPl5LeJBBSkib1pVYC4usBEgipaCVrEwgpHT3IiISlGaus0sLTMxsabSZFDTKCoU8iQARsSoAJg7w8vbhIaR7QuGusPpZSqcYMFQbkpuUgI+ESCrjIQVcuZeL8+fO4dOkSWM77yspK7vvQjUvz6A4/Pz/ExMQgpllz+Ic0hn9ELIKatodPo2irx02ORIAIEIFrJeBsAqFr5UD7EQEiQASIABFQC4EN+y5j497LguEyMcuKCfEC2/5zeZj7U7LAxiofPd4GkUE6id2VDZ9sSca+s3kCBNGNdBjSNQyLf00V2Fnl86faI9DHU2JX2pCRX47/rTxVZ7dP9ovGgI4hdfqRAxGoDwHxAwG5fdlLIMTG9cILL/DiILbN7r2wsZeWloIJIFhh7W+//Ta/Tf9TJ4FXXnkF8+bNw9dffw12bpmWiIgItG/f3tRE21YQyM/P54V199xzD0aPHi3Zo1evXvD29pbYG8JA698Q1G1zTBIIyeNKAiF5vJT0JoGQkjSpL7USEF8PkEBIRStpb4EQSzPGirtHMdxgXn2uInw0VCJABFRAQE7UIPF0lIgiVFFWgaykK7h0Mg2XktNx5vQZnD17FiwFTl5eniBUL7tRpdPp+CgXUVFRaN26NVq37cCJhFogpOV1XDQhaXoc8ZipTgSIABGoDwFnFAi9/PLLiI+Px+OPPy5Bs2DBAl6s+dZbb0nayEAEiAARIAJEQA0E1v2djk0HhdFufHQeWDK2g2D4h5IL8OEP5wU2Vpn1cGvEhFLEUlMwU9cn4HxGiakJXZr74+Z2jfApJx4Sl485kVVjO4isUrNK8cqaM+LDS+qP9onEHZyYiQoRsCUB8QMBuceyp0CIjW3Tpk1YtWoVjh49iuLiYj41EosY9MQTT+C2226TO3zydzACY8aMwfr16/n7bOzeGpX6E0hKSkKHDh0wdepUvPbaa/Xv0IY90PrbEK6duyaBkDzgJBCSx0tJbxIIKUmT+lIrAfH1AAmEVLSS9hYIqQgNDZUIEAEnIFAfcZBx+vURCbHIQVeSMnHxyAUkn0nCwYMHkZCQgJycHGP3tX5qNBqEh4fzIa47d7kOIU1bI6z1DfALb17rPtRABIgAEagvAWcTCB07dgw9e/ZEXFwc/x3s4eFRg4ilFWAPBVJTU3Ho0CGHCY9eM0DaIAJEgAgQASJgBQGW8mrroSsCTxbNhkW1MS3HUwvx7v8lmpr47bcfbIXYCGG0BYmTixnGLjmOolLhS223dQpB1xYBeP97qchq5kNxaBFm+ygK5y4XY/rXZ+tcjQd6ReDe7hF1+pEDEagPAfEDAbl92VsgJHd85K8uAsOGDcOePXtw4cIFdQ3cgUfLrpF79+6Njz/+GOPHj3fgkQK0/g69PLIGRwIhWbhAAiF5vJT0JoGQkjSpL7USEF8PkEBIRSvJ9PTRocnQaUsFo7ZVijHBQahCBIgAEbAhASXEQcbhXWuqsZyLOUjen4jEE+f4GxWnTp3iw1gb+7XmMzg4GD169ED3njcgtHk8wtv1gc6vkTW7kg8RIAJEQDYBZxMIzZ07F1OmTMEXX3yBhx56SMKD2SdNmoRPPvnEbNh0yQ5kIAJEgAgQASLgYASW/X4Rvx7LEowqNECDT0a2E9jOpBfjrW+l4pJp98eibZSvwNeVK0VlBoxdfFyCgEXladXYh2N4TtI29b6WaBftJ7ErbTjBibzeMSPyEh/n7uvDMfyGxmIz1YmAogTEDwTkdk4CIbnEyN8SgYEDB+Ly5cs4cuSIJTdqk0Hgjz/+wJAhQ7Bs2TIMHz5cxp72d6X1tz9zWx2RBELyyJJASB4vJb1JIKQkTepLrQTE1wMkEFLZSjYRCYSKKopRwv1UVlWqbCY0XCJABIhANQElxUGsx2uJIlSSV4zUwxdw9uAZ7N+/HwcOHJAtDjKuZ2hoKPr06YNuPXsjtFUPhLe5EVyeRipEgAgQAcUJOJtA6NVXX8Vnn32GX3/9Fb169ZLwYva7776bD5nOQqdTIQJEgAgQASKgNgKLtl/AXyeFEUqjgnX48LE2gqmczyzB1HUJAhurvDq0BeJjqtPBSxpd0MBSi7EUY+Iy+Y5mfBqxV82k+Hrhzua4josuZOvyb1I+PtqUVOdhbu8cihE3R9XpRw5EoD4ExA8E5PZFAiG5xMjfEoFu3brBYDBg9uzZ0Ol0aNWqFSIiKJKaJWZ1tW3cuJFP083ScXft2hVRUVFo2bIlz7eufe3dTutvb+K2Ox4JhOSxJYGQPF5KepNASEma1JdaCYivB0ggpLKVFAuEKHqQyhaQhksEiEANASYM0nl6wdPdAxp3TY1diQ25IqHMc5eRuOccjvxzGL/88gtyc3OveRju7u78zY0Bt96Klh17IqrTrfAKDL/m/mhHIkAEiEBtBJxNIPTll19iwoQJ+N///oeZM2dKpj158mQsWbIEzO/++++XtJOBCBABIkAEiICjE5j3cwp2nxFeazQL88K7D7UWDD01uxSvrD4jsLGKvcQtkgM7qGHf2Tx8siVZMrp3uDRifl4eeG7FKUnbM7fH4MbWQRK70oa9Z3Px6ZaUOrvt16ERRvdvUqcfORCB+hAQPxCQ2xcJhOQSI39LBGJjY3Hp0iWBCxOzzJgxA/fcc4/AThXrCLDIQRMnThQ4s5Tdjz/+OKZPn+5QAixaf8EyqbpCAiF5y0cCIXm8lPQmgZCSNKkvtRIQXw+QQEhlK0kCIZUtGA2XCBABswSUjhpk7iDWphorKy5D2tELOLHzOHbu3ImDBw+a606Wzc/PDz179kTfWwchLK4nwtrcIGt/ciYCRIAIWEPA2QRCaWlpuP7665GXl4fx48dj1KhRaNKkCVJSUnhh0PLlyxESEoJ//vkHLFobFSJABIgAESACaiMwZ3MSDiTmC4bNp8Ia1kpgy8grx/++lIpbJg1uhp6tAgW+rlzZ/E8m1uxKlyBYMrYDF2kbGLdEmn7syX7RGNAxRLKP0gYWKYpFjKqrMLESEy1RIQK2JCB+ICD3WCQQkkuM/C0R2Lx5M9g5pdFokJ6ezkfyZgKXkpISLF68GI8++qil3anNDIGEhAQkJibyXBnHpKQk/sWaf//9F23atMGuXbvg7e1tZk/7m2j97c/cVkckgZA8siQQksdLSW8SCClJk/pSKwHx9QAJhFS2kiQQUtmC0XCJABEwS8BH4wM/rZ/ZNqWM1kYRyk3LQfKB8zi48wC2bduG7Ozseg/Bzc0NHTt25PN/N27TE02uuwNuXGQhKkSACBABJQk4m0CIsdm6dStGjBiBoqIiCSp/f3+sW7cOffv2lbSRgQgQASJABIiAGgh88MN5HE4uEAy1XbQvpt4XK7BlF1Zg4vKTAhurTBjYFH3aBkvsrmpY/sdFbD+aJZg+ixy0aEwHLvV0FUbMPypoY5WHe0fizuvCJHalDb9w41rBja+u0q1lAJ4f0rwuN2onAvUiIH4gILczEgjJJUb+cgkcO3YMt9xyCy8aYuIWds4qXXKS1wBVBqW7ldWfxjsKfhEDZO1TH+cnn3wS69evx5tvvomXXnqpPl3ZdF97rH9e6kZU6qX3GWw6MVHnHtpgBETdKbKqt0oCIXlr52wCobKCsyjO2i0Pgg28/cL7QuPT1GLPJBCyiIcaXYSA+HqABEIqW3h/7zy4uVUh2C8bnp4VoBRjKltAGi4RIAI8AXsIhNiBrBEJZZzl0ov9nYD9e/eDvcVSWVmpyCo1b94ct3Jpxtr16I/oLoOh8batIEqRQVMnRIAIqIqAMwqE2AJcuXIFCxYswOHDh8GiCrEoQl26dOGjCjVq1EhVa0SDJQJEgAgQASJgSuCd/0vEidRCUxM6xfjjlaEtBLbCUoPZ6DcsFRVLSUWlmoA5wVXLcG/MGB7HOzyx4CjK9VwoIZNyb49wPNCzsYnFNps/ctGN1pqJbiQ+WscYP7w2tKXYTHUioCgB8QMBuZ3bSyBUWFiI+fPn48UXXwRLj0TFtQiMHTsWq1ev5qPdsOs/pcv5P4egqlKvdLey+vMJ6YbGnd6VtU99nJOTk9G+fXvccccd+Oabb+rTlc33tfX6p+x+HPrSDJvPw9IBtH4t0aT7AksuqmojgZC85XI2gVBB+lZknpojD4INvCPi34RvqOXsDSQQsgF46lJ1BMTXAyQQUtkSurlVoqrKHSySkN4tGyUVxVzYZGUeZqsMBQ2XCBABFROwl0CIIbKUakzjoUXm6cs48tu/fEjjn3/+WTGqYWFhuOmmm9Cr/12I7DQAPsGRivVNHREBIkAEGAFnFQjR6hIBIkAEiAARcFYCb35zFgmXigXTMxdBpqyiEk8uPCbwY5WRt0Thtk6UZtMI5qWvTiMtp8xY5T9ZCjaWio2VCV+cQH6x8GHwoC6hePymKL7dlv/bsO8yNu69XOchWkf64I0HhCnm6tyJHIiATALiBwIyd+fTFrGXqUpLS+XuKst/5cqVePrppzF16lS89tprsvYlZ/UTmDVrFmbOnIkNGzZg0KBBik/IFQVC7Pc2KCgInTt3xo4dOxRnqmSHtl5/EggpuVrVfZFASB5TEgjJ42WtNwmErCVFfq5OQHw9QAIhlZ4RTCBUXJmOCkOFSmdAwyYCRMCVCdhTICSOIsREQV6e1aGKPd08kHriAvb9vJsXCG3fvl2xZWEX4DfeeCNuGXQvGnfsB7+w6pvUih2AOiICRMDlCbiCQIilGmMXMPQGscuf7gSACBABIuAUBKasS0BSZolgLr3iAjFxkPBaoZJLj/W4mfRYj3DpsYbYIT2WYIAOXBn5+VHoDcIIQXd2C8PDN1a/nPH8l6dwOa9cMINb2jfC2AFNBDZbVFj0IBZFqK7SLMwL7z7Uui43aicC9SIgfiAgtzN7RRB65ZVXMG/ePLCXt/r06SN3mOSvcgIjR47Et99+i5MnTyImJkbx2biiQOjMmTPo2rUrHnvsMSxatEhxpkp2aOv1J4GQkqtV3RcJhOQxJYGQPF7WepNAyFpS5OfqBMTXAyQQUukZ4etVCHftacBN+OaZSqdDwyYCRMDFCNhTIMTQMpFQeWW1oJKJgjQemhri548m4sAve3mB0LZt22rs9d1gaXDYDa0+A4eicXx/+IbY/iZ0fcdM+xMBIqAuAs4oEGJvOG7cuBELFy7E8ePHkZ+fXxNi/ocffuDr7OYmFSJABIgAESACaiTw0mou4k12mWDoN7UNxviBTQU2VhnBCYQMnFDItAzr1Rj3dA83NbnsdnZhBSYuPymZ/5P9ojGgYwhvf50TZCWLBFmmEYYkOytoWPHnRfxyJKvOHhsH6fDx423q9CMHIlAfAuIHAnL7spdA6NNPP+UjB23dupWPyCx3nOTv+ASKi4uh0+kkL4AcOHAAAwYMQJs2bbBv3z6bTMSZBUIFBQXw9/cXcGPX1g8//DB+/PFHPnXbPffcI2hviEpDrj8JhJRfcRIIyWNKAiF5vKz1JoGQtaTIz9UJiK8HSCCk4jPCx+8Q98d0gYpnQEMnAkTAVQnYWyBkiXPy8fP49/eD2Ld3H3766SdLrrLamjRpgn79+qFz79sQ1fl26PyCZe1PzkSACBCBugg4o0Bo8uTJWLJkCT91T09P6PV6XiDUvn17/mYxiyh04sQJhIZSepW6zg9qJwJEgAgQAccjMHnlKWTmCyPa9O/YCE/1k75M8BSXYqyUSzVmWpg4iImEqACn04rw9oZzEhSvDG2BTjHVD0lnbDyHUxeLBD6dmvnjlbtbCGy2qCzafgF/ncyps+tGfhp89kS7Ov3IgQjUh4D4gYDcvuwlEGIvB7BIzG3btsX69eslIhK54yZ/xyOwc+dOTJgwAaNGjQK7xquoqMCePXv4F0Tc3Nzw559/omPHjjYZuDMLhO68805ERESgf//+iIqKwvnz57Fs2TL8+++/ePDBB7F8+XKbMJXbaUOuPwmE5K5W3f4kEKqbkakHCYRMaSi3TQIh5VhST85NQHw9QAIhFa83CYRUvHg0dCLg4gQcSSCUnpiGYzsPY8/OPdiyZQvY2yxKlHbt2mHw4MFo2uEGNOk2BO4mUYuU6J/6IAJEgAg4m0CI3Sy8/fbb0aJFCyxevBh///033njjjZoIQrNnz8a0adPw+eefg4Ufp0IEiAARIAJEQG0Enll2ArlFesGwb+8cihE3RwlsrDJ+6XEUlBgEdpZejKUZowLsOJWDhb9ckKD4iIvGE8lF5WHlo03cyyBJwhfrWkf64I0HWkn2U9rw6dZk7E3Iq7NbXy8PLB7ToU4/ciAC9SEgfiAgty97CYTY3/szZsxAeXk5fH194e7ubnaob731FsaNG2e2jYyOTeDUqVO46667kJaWVjNQlk564MCBeP/999Gqle2+n51ZIPTiiy/y19AGw9W/G8LCwviIXKNHj3YYsV1Drj8JhGp+5RTbIIGQPJQkEJLHy1pvEghZS4r8XJ2A+HqABEIqPiNIIKTixaOhEwEXJ+BIAqGCnAKc2X8S+/7Yi7/++ovPdV7f5dFqtejWrRtuHzwEoa26I5JLMUaFCBABIqA0AWcTCLEbwm+//Ta+/fZbouJN3AAAQABJREFUXmD58ccfY/r06TUCoR07dmDQoEF4+eWXeeGQ0jypPyJABIgAESACtiYwdslxFJVefXjHjndntzA8fKNU9MPSZ7E0Wqbltk4hGHlLtKnJZbc37ruMDXsvS+a/8pl4eLq78fZ5P6dg95lcgU/TEC+890hrgc0WFXPiJHPH8fRww8qn4801kY0IKEZA/EBAbsf2EgjNmTMHH374YZ3De/PNNzF27Ng6/cjBMQmw1Fcswk1mZiYCAgIQGxvLpx2z9WidWSDE2OXm5uLChQsoLCxEy5Yt+YhCtmZ6Lf031PqTQOhaVsvyPiQQssxH3EoCITERZeokEFKGI/Xi/ATE1wMkEFLxmpNASMWLR0MnAi5OwJEEQga9AeePJeLQHwdxYP8B/Pbbb/zbavVZIpZejIX17dCtDyI69IV/hO1D2NdnvLQvESAC6iTgbAKhd999F++88w6+++47/g1SsUDoq6++4t8Unjt3LsaMGaPORaNREwEiQASIgEsTeGLBUZTrqwQM7u0RgQd6RghsrPL8l6dwOU+Yjqxfh0YY3V+ajkyyswsYzKXwCvHX4NNRV9N1ffF7Kn47li2gERqgwScjr/oIGhWsvPN/iTiRWmhVj6s4UZP7f6Imq3YgJyIgk4D4gYDM3WEvgZDccZE/EZBDwNkFQnJYuKIvCYSUX3USCMljSgIhebys9SaBkLWkyM/VCYivB0ggpJIzgr371DKwGBmlHigs03K1Knj7HebCQ1p3s0El06RhEgEi4CIEHEkgxJBnX8rCyT3HcfzgMT6K0LFjx655Jfz8/NC9e3f07nMzwuOuR2THfnDXVIe4v+ZOaUciQASIgBkCziYQ+v3333HnnXeiffv2WLt2Lb7//vuaCEJubm4YNmwYLl68iN27d6NTp05miJCJCBABIkAEiIBjE3hs3hFUCfVBePCGxhh6fbhk4K+sOY3UrDKBvXebIDx9W4zA5qqVGRvP4dTFIsH020b7Ytp9sTW2NbvSsfmfzJo62/DjUnotskNKr+lfn8W5y9alr146rgO8tR6CcVKFCChJQPxAQG7fJBCSS4z8HZEACYQccVXsNyYSCCnPmgRC8piSQEgeL2u9SSBkLSnyc3UC4usBEgip4IxgwiAfTwPCfSqQVFqKCzmhcPdMh0abDjc3YbhpFUyHhkgEiAARgKMJhPQVelw4lYITe47i9InTvEgoKSlJ9kqxf2TZg+3evXujaesuaMylFvMNoTd8ZYOkHYgAEbCKgLMJhNikR48ezYuDmCCICS4LCgoQGRmJ9PR0nsmkSZMwa9Ysq/iQExEgAkSACBABRyKgr6zCyPlHJUN6tE8k7ugaJrFPXZ+A8xklAnuPVoF4bnAzgc1VK5NWnERWgfCe2M3tgjHu1qY1SMylIfPgIvV8yUXssXV5Zc0ZTuBVatVh5j/VHkE+nlb5khMRuBYC4gcCcvtoCIFQXl4ezp49i9TUVPTt2xeBgYGcwLIKBoMBnp70+yJ3DckfIIGQa58FJBBSfv1JICSPKQmE5PGy1psEQtaSIj9XJyC+HiCBkArOiF6NcxGk0/MjvaDPw7mMKLjrTnPRgwpUMHoaIhEgAkRASsDRBEJshCUFxTh35CxOHTiJ8+cSsXfvXpw7d46/ASWdgdTCHmS3a9cO3bp1Q7O4jghr2xtBTdrDzd1d6kwWIkAEiIACBJxRIFRRUYGVK1di/vz5/AOByspK7m9eD7Rt2xbPPfccHnroIb6uAD7qgggQASJABIiAXQmUlFdi9CJppNJRfaMxMD5EMpa3vj2LM+nCCDRdWwTgxTubS3xdzVCb2Op+LlXbfVzKNmPZcigTX+2oFhkbbexz+YSO0Hra9jrtf1yKuAxRijgfnQeKywymQ+G354xoi/BAFi2cChGwDQHxAwG5R7GnQCgzM5OPIrpu3bqa9O+7du1Cly5d8Prrr6O4uBgs5TAVIiCXAAmE5BJzLn8SCCm/niQQkseUBELyeFnrTQIha0mRn6sTEF8PkEBIBWcECYRUsEh2HGK4NgjFlWUo1AvfJLTjEOhQRKDeBBxRIMQmVZRbiHOHE3Du6FlcvHARJ06cwKlTp5CdnV3rnNmba1FRUejYsSNatmyJ6BZtERrXE4HRbeGh9ap1P2ogAkSACNSXgDMKhEyZMLHQlStXEBYWRm8Jm4KhbSJABIgAEVAlgfwSPSYsPSEZ+5gBTdC3fSOJ/d3vEnH8gjCtfMemfnjtnpYSX1czpOeU4cWvTkumPX5gU9zUNrjG/sfxbCz5LbWmbtxYMLo9ArxtG4Hk6S9OIK+4+mU/43EbB2lxKbfcWK35fO+R1mgaQteONUBoQ3EC4gcCcg9gL4FQKRc5f9CgQdi/fz9CQ0PRqFEjnDlzBkwgxKI19+zZEwkJCTh48CDatGkjdxrk7+IESCDk2icACYSUX38SCMljSgIhebys9SaBkLWkyM/VCYivB0ggpIIzoql/CWIDS+DlUQkWQehCvgGVbtmUXkwFa2eLIcb5RCNXX4jM8jxbdE99EgG7EHBUgRCbfFFeEVLPpODC6RSkJV9EWloa2BtsGRkZ/INqdsOKpb7x9/dHREQE/+A6PDwckVFNEBwVi5DYbvALa07iILucSXQQIuDaBJxdIOTaq0uzJwJEgAgQAWcjwNJhsbRY4vLM7TG4sXWQ2IwPN53HoSRh5Og2Ub6Yfn+sxNfVDEdSCvD+9+cl02ZsGCNj2ZOQi8+2phirNZ+zuYg9ETaO2PMUFy2qlIsaZVriIn2QIIoKxdrferAVWkX4mLrSNhFQlID4gYDczu0lEPruu+/w6KOPYvDgwXxU0YULF/LRhIwRhNasWYMxY8bgvffew8SJE+VOg/xdnAAJhFz7BCCBkPLrTwIheUxJICSPl7XeJBCSkmLpWQ8dOoQWLVqgQ4cOUgeyuCQB8fUACYRUcBpo3StxfUQ+ArR6XiCUXpKJCoMwz7oKpkFDVIgACYQUAkndNCgBRxYIMTBlxWUoychHVnI2EhJTkJeVgby8PBQUFIBFtGACIfYPamBgIAICg+EbEo2AyFa8MMg7qDHcuHQ4VIgAESACtiagdoHQ0qVL8fHHH+Pzzz9Hv379+LRi8+bNw9q1a/kUArbmR/0TASJABIgAEbAngUu5ZXhhlTTqzeQ7mqF7bKBkKHN/Ssb+c8IXg1pGeGPGg3ESX1czbD+aheV/XJRM+7Mn2qGRn6bGfji5AB/8IBUSvftQHJqFedf42WLjsXlHuHTVwp6vaxmAfxLzhUau9vq9LdGhiZ/ETgYioBQB8QMBuf3aSyA0bdo0zJ49G9u2bUPv3r35a4Xp06fzEYRYirG//vqLFw+9/PLLeOONN+ROg/xdnAAJhFz7BCCBkPLrTwIheUxJICSPl7XeJBCSkrr77rvx66+/Yvz48fzfUlIPsrgiAfH1AAmEVHAWuHFj7Nk4F0E6EgipYLlsPkQmENK6eyK5NIPSjNmcNh3AVgQcXSDE5u3vpkVxtpa7gVuE0qI8VJTko7w4D5UVZYCbOzx1PtD6BkHrHcB9BsMrMJyiBtnqhKF+iQARMEtA7QKhuXPnYsqUKZgwYQJ/o58Jg9jPBx98gLZt25qdMzPGxcUhJiam1nZqIAJEgAgQASLgiAQuZJXi1TVnJEN76a7m6NI8QGKfvy0Ff5/OFdibhnrhvYdbC2yuWFm7Kx0//pMpmLrGww0rno4X2E6nF+Htb88JbKwyjYs01NYk0pDEoZ6GCkMVRn1+VNILSyX3xwlp+uoXuXOgq5lzQNIBGYjANRIQPxCQ2429BELz588HE/8sWLAAI0aMkAiEWOSgGTNmYNmyZRg+fLjcaZC/ixMggZBrnwAkEFJ+/UkgJI8pCYTk8bLWmwRCQlJGMTWzkkBIyMbVa+LrARIIqeSM6PWfQOhUSTpyyvNRWSUMU6ySadAwFSDABELh2gCcKebSHlGaMQWIUhcNQUANAqFAdy+UlYTgeJYfqioNMJSXQF9WgkoughuLIOTuqeNFQh4aHScYYlJOKkSACBAB+xJQu0Bo9+7dGDhwIPd2vej1+jowzpo1C5MmTarDi5qJABEgAs5FYMPey9h+LAuVlVW4hRMZPNI70rkm6AKzScwoxrT1ZyUzrS16zOJfL+DPEzkC/8ZBOnz8eBuBzRUrn25Jxt6zwuhKUcE6fPiYkE3KlVK8tlYqyrK1IKew1IBxS45LlububuH44WCGxD5xUAx6xUnTzEkcyUAErpGA+IGA3G7sJRA6efIkevXqBW9vb7z11ls4f/48PvvsM6xbtw5nz57F22+/DY1Gg3///RfR0dFyp+Hw/omJiThx4oTZcbL5du3a1WwbGa0jQAIh6zg5qxcJhJRfWRIIyWNKAiF5vKz1JoHQVVJ6vR4333wzioqK+L+bSCB0lQ1tgc+I4u7ujpKSEv5ePAmEVHJWGAVCZ8sycKUsFwbuYTUV1yRAAiHXXHdnm7WjC4S83TTwqvRHWj73U+TlbPhpPkSACDgJAbULhNgy7NixA1u3buXTOLL82Oxm/5AhQxAeHl7rKt1///18SrJaHaiBCBABIuBkBH7lhEHLfhemU7qneziG9WrsZDN17umcTuOi2WyQRrN544FYtI70lUyepdBiqbRMS4i/Bp+OamdqcsntqesTcD6jRDD3zs388fLdLQS2zPxyTF55SmBjlWdvj8ENrW0nyMkqrMCk5Sclx320TyRW70yX2Mfd2gQ3t2sksZOBCChFQC0CITZfFh3oueee4wSx0pdjmTiItd93331KoXGoftiLEDNnzjQ7JhYxic2dyrUTIIHQtbNzhj1JIKT8KpJASB5TEgjJ42WtNwmErpL66KOP8O677+Krr77CsGHDKILQVTS0xREQXw+QQEglp0WETxnaBBchCzlIL8lEBRfBgoprEjAKhHL1xZRmzDVPAaeYtaMLhFj0IENpI5zK8UWZwd0pmNMkiAARcD4CziAQMl2V7du3Y9u2bXjmmWfQrFkz0ybaJgJEgAi4NIE5m5NwIDFfwoCijkiQOLTh2IVCzPouUTLGmcPj0CLcW2L/amcatvx7RWAP8PHEgqfaC2yuWGHReViUHtMysFMIRt0ijChSUKrH+CXSaBxP9Y9G/w4hprsrup2WU4aXvjot6XP8wKZY+MsFiZ2Nm42fChGwFQHxAwG5x7FXBCHjuM6dO4eFCxfy0XQuX76MyMhIxMfH86mJmzZtanRzus9XXnkF8+bNw9dffw3G3LRERESgfXv6/jdlInebBEJyiTmXPwmElF9PEgjJY0oCIXm8rPUmgVA1qTNnzvBRGCdPnoyHH34YXbp0IYGQtSeRi/iJrwdIIKSShWfJa3pyacYKPLKQpy9CYXkhRRFSydopPUyjQIj1S2nGlKZL/dmDgNZDC1+tLzTuGnsc7pqOYZpe7Jo6oJ2IABEgAnYg4GwCITsgo0MQASJABFRJ4N3/S8Tx1ELJ2L207pjxYBxYaiUqjk/g3/P5+OjHJMlA33+kNZqESKOWrt99CT8cEKaj8ubWfOm4jpI+XMlQXGbAmMXS9F0s7d6Q68IEKPSGKoz8/KjAxiqPcJF8hnQV+kqc6mFIyizBlHUJkh5YhKMPfjgvsT/Mjf1O0dglTmQgAvUgIH4gILcrewuE5I7PWfzHjBmD9evX89FVWWp7KsoSIIGQsjzV1hsJhJRfMRIIyWNKAiF5vKz1JoEQUFpair59+8JgMGDnzp1ISUkhgZC1J5AL+YmvB0ggpKLFZ2nGPLXFuMJFjik0cD8kElLR6ik3VBIIKceSemoYAo4ePYhR8az0QVFhGFILpTfqG4YaHZUIEAEiICWgdoEQezv2nXfewcqVK3Hbbbdhzpw5+OCDD/Djjz+iW7du0gmThQgQASLgogRe5CKRpHMRScyV1pE+eOOBVuaayOZgBPadzcMnW5Ilo5o9oi0iArUS+8Z9l7Fh72WB3dPDDSufjhfYXK1Sm/jmuTuaoUdsoATHKE4gVMEJhUzLfT0icH/PCFOTotu1pZObzqWTY1GkKvSi8XBjuZ8bExUiYCsC4gcCco9DAiG5xK7Nn6UD2bNnDy5ckEYau7YeaS9TAiQQMqXhetskEFJ+zUkgJI8pCYTk8bLWmwRCwKRJk/Dll1/izz//ROfOnZGQkEACIWtPIBfyE18PkEBIRYvPBEJBOj0u6PNQWqXn0t6UkUhIReun1FBNBUKUZkwpqtSPPQk4ukDI200DfVkQknKDUKqn9GL2PDfoWESACMgjoHaB0Ny5czFlyhSMGDECt956K7777jts3LgR06dPR6tWtT/sZhe7ltrlUSRvIkAEiIDjE7AkEGKjvzU+BE/0FaZWcvxZud4Id53OwefbpA99P3uiHRr5SaOrbjqYgXV/X5KA+urZTnDlwBL7z+Vh7k9SodU7D8WheZg0Vdv4pcdRUCJMRza4ayge6xMlYauU4UhKAd7/XhopiI2RCYTE6dFY9CAWRYgKEbAVAfEDAbnHsbdA6PDhw/jll1/4N+Dz8/MRFBSE5s2b46677kJsbKzc4avGf+DAgWAp1Y4cOaKaMatpoCQQUtNqKT9WEggpz5QEQvKYkkBIHi9rvV1dIMQiDz755JP8C5fPPPMMj40EQtaePa7lJ74eIIGQitY/wqcMbYKLkIUcXiDEhp5TmsO9CVWholnQUOtLwFQgxPqiNGP1JUr725uAowuEjOnFTmT5Qfhep71J0fGIABEgApYJqF0gdPDgQfTv3x96vd7yREWts2bN4t+OEZmpSgSIABFwWgLPLDuB3CLL35VMIMSEQlQcl8Dvx7Ox9LdUyQAXjmkPfy9PiX3r4StY9VeaxL58QkdoPV33RYaf/s3E6p3pEi6Lx3aAr85DYv/fl6eQkVcusPfr0Aij+zcR2JSs1CZi+uixNniXEwhlFwrv4w3sFIJRt5DIT8k1oL6EBMQPBIStddfsKRB69tlnsXz5crOD8vDwwCuvvMK/ZGDWQeVGFkWVpQeZPXs2dDod/1JERARFF1NqWUkgpBRJdfZDAiHl140EQvKYkkBIHi9rvV1ZILRv3z4MHjwYd9xxB1atWlWDjARCNShow4SA+HqABEImcBx9k2Ue7slFESrwyKoRCCkVRYg9sPdwv3ojpbiiGIZK4RtWjs7HVcZHAiFXWWnnnaejC4Q0/6UXu0DpxZz3JKSZEQEnIaB2gRBbhkOHDmHbtm3Iy8vD3r17sXv3bgwfPhyRkbW/Rc8ufHv37u0kq0jTIAJEgAjUTeCJhcdQXlFZp+MbXPqi1pG+dfqRQ8MQ2HbkClb+KRX8fDG+I7w0UsHPr8eysOz3i5LB1iaEkTg6qWHFnxfxy5Eswex8vTyweEwHgc1YeW3tGaRcKTVW+c9ecUGYOChGYFOyYilaFBMIiVMG3twuGONubarkEKgvIiAgIH4gIGi0omIvgdCmTZvw0EMPwdfXFy+++CK6d+8OduyioiIcPXoUH374IXJycvDzzz+jT58+VoxcXS4sOtKlS8LIcS1btsSMGTNwzz33KDqZrKwsFBQU8JGZauuYXaMxv5iYGHh6SoWsbL/Lp5egKPsQtFoN3E2eLZj2WVlZifLycmg0nvDwMN9PVVUVysrK+OPUdizWZ1lpKdw5oZhGI4y8F9XlA8Ct+tkGS9HG2hs3bmw6DDiyQIid4yx6FLsOdq9IQda5xYKxs4o9OJoetML7ZuiCeko4mvqkHF+OyoKD0HKCttpKBbf2lVWVnOjNqzYX6CsqoOfEcey7qrbCXixiP0w85yYKpRjRYSo8tMH8d4WRo7e3MKqgIwuE0tLSwH4HoqNrFwuzebHfEfb7WFtR6vfa9HwUczQem43l4omlQO4PRlODfUZ3+wS6gLawxPHiwUkoyz/dYGNkBzYnEOI5XryIsLAw+Pv7w1Cei+Rdwxt0nPxYA29Cs+um1joOdj6WXPkVlRkra/WxVwMTCHn6X4eLJhzFx7589E0UXdktNtu93rLfVu6Y7El/danP7zWbL/tbiH13LFq0CBXc9yj7d4+JqVNSUvDII4/ggQcewOTJk8HExoGBgTX/zlj8vbbAkY2aCZlZ/yy6Y3Bw8H8zkX4kJyfzf8Oxc7u2Utu/16b+ln6vjX714Wjsg31a83eP1d+PduRoOgdL2+LrARIIWaLlgG0szZipQIgNsT4iIaMwSOehg7vb1RtS5YZyGKquCoRIMOQ4J4NYIJSnL0ZSaQYK9SWOM0gaCRGwQMCRBUIsvZihLBDJXHqxYv1V0aSF6VATESACRKDBCDiDQMgU3s6dO/l82aNGjbJ4Y8x0H9omAkSACDg7AUNlFUbMP2rVNKOCdXj7wTh4a69e21u1IznZhcBmLvLNGjORb758Jp57YevqjWLjYP46mYNF2y8YqzWf859sjyBf8w9Ya5yceOPDTedxKKlAMMMW4d6YOTxOYDNW3t5wDqfTioxV/rNzM3+8fHcLgU3Jym+cuOsLM+KuRZyIiaUYS8oU3r/pFRfICZaaKTkE6osICAiIHwgIGq2o2EsgxNIPszTES5cuxcMPPywZ2erVqzF27Fg+JTGLJORsZfPmzfzDNCZuSU9Px/79+7Fs2TKUlJRg8eLFePTRRxWbMnvglp2djTZt2kjENsaDZGRk8A8TmXCJnQPmSuq/01Ceu89ck11tLfpu5kQj1f82nj59mhMsadGihfB73pEFQkz4lpqaimbNmkGjP4P0w1Psys/cwQyBw+AZPEDC0dQ38cC7QMGfpqYG2Y65YRU8vcJ5AaGRY0BAgGAsjiwQOnfuHC8Ai4sz/7cMmwh72F5cXIx27doJ5mVaUer32vR8FHM0Hq+wsBCpJ5ZAW8QEDw1bjAIhSxwdVSDEOJ4/fx5RUVEICQlxGIFQle8NiO3xZq0Ly87Hsqzf4Jm3rlYfezUwgVCVV7yAo/jYjioQqs/v9ddff40nnnhCPFWzdSYSYsLr2r4fjTuJz0ej3fSzlBPqsghFTPgjFuIa/ZiI6NSpU7woqUmT2qO21vbvtbEf9mnp99roVx+Oxj7YpzV/91j7/Wj6e216DOO2khyNfdb1Kb4eIIFQXcQcrN2cQIgNUa5IqDZhUG3TNRUMkVioNkrK2SN0QfDzEKrcjb0HevrA211rrPKflGZMgIMqDkxA66GFr9YXGnfhmz6OMmRKL+YoK0HjIAJEwBoCziYQsmbO7AKKXYxZijBkTT/kQwSIABFQC4HCUgPGLTlu9XB7ckKDSSQ0sJqXPR2/25+Bb/YII0O4c1quVc90MjuM3Qm5mLc1RdI2d2RbhAUI7wlInJzY8PLq07iYXSaYYY9WgXhusHmBjTlBUZsoX0y/P1bQh5KVLYcy8dUOaRq0FU/H493/O4cz6cWCw3Vt7o8X7xI+yBY4UIUI1JOA+IGA3O7sJRCaM2cOpk6dii1btuDmm2+WDJNFHr333nvB/JhQyBXKsWPHcMstt/AinqSkJIsRVuTyYBFp3Nk/RBZKXT6Xj81AUeZOCz3Yp8lUIFTbER1ZIMTGzB6ossgPJdkHHEIgFNr6GQRE310bTt5+JWEe8lM3WfSxR6NRIMSOZeQoPq4jC4TEY61Pva7fWda3NT61cTQdW3bSauSe/9LU1CDbRoGQpYM7qkCIjdl0PRwlgpB/1CCEtfmfJaQoSN+KzFNzLPrYo9GYYsyUo/i4jioQEo+ztrq5uTHhzJ9/XhVoskhCxuhqLKLOzJkz+b+lhg0bhvj4eD4qozW/1+aOJR6XNT6m4xHv31B1a8ZtjY9aOYqvB0gg1FBn4jUeN8KnDL7+6VzETOHNENZdTmkOKgwVFnuWKwwy15mpWIi1k2DIHKVqm7fGG57u5t/sY0IE3X9vNoh7MCcCEvuY1kkgZEqDth2VgKOLgxg39ntZWhyCE9l+joqRxkUEiAARqCHgSgIhlnpszZo12LBhA1599VVMmjSphgNtEAEiQAScmUBmfjkmrzwlmWJLLmJKYoYwConRaVivxrine7ixSp8OQoCJg5hIyLTouNRiy7gUY+bKgcR8zNmcJGn68LE2YNGiXLWMWnAUFfoqwfSHXBeGR3pHCmzGymecyGoPJ7YyLTGhXpj1cGtTk6LblsRg732fiKMphYLjtW/ihyn3thTYqEIElCQgfiAgt297CYTYA63rrrsOPXv2BHszXpxq6umnn8b333/Ppxtr1KiR3Gmo1p+JoVj0pF27dqFLly4ONQ8SCMlbDp+Qbmjc6V2LO5FAyCIes42mAiGzDpzRVQRCtc3fFvbc5DXITlxpi65l9al2gZDpZEkgZErDum2jQMiSt9oFQpbmZq6NRfhhfy+MHz8eH3/8sTkXsrkgAfH1AAmEVHYSuHHjjQ5Nhk5bKhm5pShCSgiDJAf8z2AqGHJGsVBjXTB8Parz3+ZVlqKsSl8bComdCSI8/st/LG5s7OEPf1EkILGPtfVcLs1YMqUZsxYX+TUAATWIgxiWqgo/5BWEIavUdd/IbYDTgw5JBIjANRJwdoEQC8e6du1a/icxMZGnxMLtL1y4EA899NA1UqPdiAARIALqIpBypRSvrT0jGfSLdzXHvrN5YGmozJUX7myO61oIUyuY8yOb/Qis2ZWOzf9kCg7o7+2BhaM7CGzGyuHkAnzww3ljtebz3Yfj0CzUfMThGicn3cgpqsCzy05KZvdE32jcGh8isTPD0t9S8fvxbEFbWKAWc0e0FdiUrHy9+xK+PyAUg7HUf0vHdeRFX0z8ZVpiG/vg7WGtTE20TQQUJSB+ICC3c1sJhLZu3cq/AGA6nqNHj/ICIJb6iomFjG/DFxQUYNOmTWApeD788EMMHDjQdDen3p41axYfCYC9LDFo0CCHmisJhOQtBwmE5PGy1psEQtaSUtaPBELyeHpog9Cs93qLO5FAyCIes40kEJJiIYGQlAlZwEehZJEjWepaPsJTUVGR8LWb/yjVllfWFOLv5wzIKTG7u6kbbStMoEktAiF2GLFIyJbCIHPTYmIhfzcttP+JYtLKslFikEY7MrevLW2mIh+5xwny9IXXf+mQiqsqUFFVCblCIfExWZSSYHdvaNwsh3EV72epTlGELNGhtoYkoBZxkLebhvvHMRjns4NQCSbHpEIEiAARcGwCzigQys/P5x8SsGhBLGoQu2Bhhb35MmbMGAwdOhTBwcGOvTA0OiJABIiAggROpxXh7Q3nJD1O49IjtY70wbT1Z5GUKY0kFODtibcfbOXSqagk0BrYsPLPi9h2JEswikZ+Gnz2RDuBzVg5cbEQ72ysFsgabezzLU5I0ooTlLhiOZNehLe+lf4+vHx3C3Ru5m8Wyeqdafjp3yuCNkvCLIHjNVZW7UjD1kPCYwb6eOLzp9pj/rYU/H1aGNGoaYgX3nvEdhGNrnEatJsTEXBUgdDs2bMxbdo02aTfe+89TJw4UfZ+at1h5MiR+Pbbb3Hy5EnExMQ41DRIICRvOUggJI+Xtd4kELKWlLJ+JBCSx5MEQvJ4WetNAiEpKRIISZmQhQRCTnEOWBIIsQkykVAlJ2JhReehg7uCIhS+01r+F8QJXpgwyJcT03iiWviSrS9EeWV1xJ36ioUidY3gw83nWoqpyOda9hfvYxQKie3Gel0CIiWjBxmPSQIhIwn6dCQCahEHMWaUXsyRzhwaCxEgAtYQcBaBkF6vx/bt2/kUYps3b0ZpaXWkzG7duiEsLAzszWIWEpeFxqVCBIgAEXA1AoeS8vHhpiTJtI1RZJg4aNrXCaisvgUg8OvQ1A+v30NpiwRQ6lkpKTfAW+txTb2Yi2QTwUWymV1LJJuES8V485uzkmNNva8l2kX7SeyuYNh5OgcLtl2QTNVS2rUN+y5j497Lgn08Pdyw8ul4gU3Jirm1DufWeg631pbalBwD9UUETAk4qkAoNTUVSUlJpkO1artFixaIjo62ylctTsXFxdDpdPDwEP4bc+DAAQwYMAAsotK+ffscbjokEJK3JCQQksfLWm8SCFlLSlk/EgjJ40kCIXm8rPUmgZC1pMjP1QmIrwcoxZgKzwhfr0KEBmRweZgrbDZ6PlVYlUFW/z5c9A2jMMjcjjkmYiFz7XXZgjR+0Ll51uXmEO1MQKTnYpDUVlikEs1/IqrafGqzR+iC4O8hDSdOacZqI0b2hiJgL3EQi1zGhJHmioYTLHp5VqcINNduajOUs/Ri4cgp05iaaZsIEAEi4LAE1C4QYinEFi1ahPXr1yMjozoNR8eOHfHAAw/wP+zG/4oVK/DMM8+QQMhhz0IaGBEgArYmsPtMLub9nCI5zNyRbWuiA7E0Y4u2S0UTbKfBXULx2E1Rkv3JII/AtiNXsIETmRSWGtC+iR/GDmhSw9/anhb8cgE7TwlTwjXhIse8X0vkmGRO/PX6ugRJ968MbYFOMeaj5Uicnczwf5zY51uR2IdNkYl9mOjHXPnp30ys3pkuabK0j8RZpsFSlCBL0YVkHobciYDVBMQPBKze8T9HW6UYkzsOZ/bfuXMnJkyYgFGjRqF9+/aoqKjAnj17+PTKLM3an3/+CXat5GiFBELyVoQEQvJ4WetNAiFrSSnrRwIheTxJICSPl7XeJBCylhT5uToB8fUACYRUeEa4oQrRoSnQaavfrr6WKdQlACrTX41CdC390z62IxDnE41wbYDkAJfLc5FaloVSTixBhQg4AgGW4tBPa/s3W/VclDL2nVaql34nemu84a+17uZ5QXEgMnMbc9+wVIgAESAC6iCgdoGQaUqBuLg4LF++HF27dhXAJ4GQAAdViAARcEECvx3Lxhe/p0pmvmhMB/h5XY0ywAQQTAhhroy7tQlubtfIXBPZrCBw9nIx3vhaGMknPsYPrw6VF53p0y3J2Hs2T3DEFuHemDk8TmAzVtJyyvDSV6eN1ZrP54c0R7eW0nsCNQ5OvMGEcEwQZ1ospWljfr8d536HfpP+Di0c3R7+XCo+W5TZm5NwMDFf0DVLC8fSw63ffQk/HKgWRhsdvLXuWDrO8R78G8dHn+onIH4gIHdGJBCSS0y+/6lTp3DXXXchLS2tZmcWTWjgwIF4//330apVqxq7I22QQEjeapBASB4va71JIGQtKWX9SCAkjycJhOTxstabBELWkiI/Vycgvh4ggZAKzwhrBUKWREAkAFLhwv835NoEQpRiTL1r6qwjt5dAiPEr0ZegoKxAglKOQCi/iBMI5TWW9EEGIkAEiICjElC7QGj//v146623+LdhK7ncOL6+vrjzzjv56EG33nortFotRRBy1JOPxkUEiIDdCGz+JxNrdkmjn3z5TDw83IURU2Z9l4hjFwolY+MCD2DGg3FgYhQq8gnUFoFm1bOduJTu1vf38Y9J+Oe8UDTSOtIHbzxg/qFvZn45Jq88JTnAxEEx6BUXJLG7gmHmxnM4ebFIMNW2Ub6Ydn+swGZa2Z3AReHaKo3CNYeLwhUeoDV1VWz7ve8TcTRF+LvYgYs89fq9LfHd/gx8s+eS4Fju7sCqZzoJbFQhAkoSED8QkNu3PQVCLN3wwoUL+XRaxiij4vGy1MMs6qizFXZNxKKsZmZmIiAgALGxsXzaMUeeJwmE5K0OCYTk8bLWmwRC1pJS1o8EQvJ4kkBIHi9rvUkgZC0p8nN1AuLrARIIqfCMYPefokOT64wglFOagwqD7dKQqRCdUwzZnECIogc5xdI63STUJBBiaf+Ki4ORmBPsdOtAEyICRMB5CahdIGRcmYsXL/JpxlavXg325iwrgYGBGDp0KDQaDb744gtKMWaERZ9EgAi4HIFv917C/+0TRhvRerph+YR4CYsrBeWYzkW6ySvWS9qahXlzIqFWElGRxJEMEgLjlx5HQYk0Bbs4ipNkR5HBrGikKScaucd8JKLcogo8s+ykqBdg/MCmuKmta163PLfiJK4UCO9zMRaMSW3lUFI+PtyUJGme9XAcYkJtI5p769uzOJNeLDhm1xYBePHO5thyKBNf7ZCK/lZwadI0taRJE3REFSJwDQTEDwTkdmEvgVB5eTn69u2Lw4cPWxzirFmzMGnSJIs+1GgfAiQQkseZBELyeFnrTQIha0kp60cCIXk8SSAkj5e13iQQspYU+bk6AfH1AAmEVHpGNCGBkEpXrv7DNicQouhB9edKPShPwJ4CodrSjFkbQSjQ3QulxSE4kW37lGjKk6YeiQARcFUCziIQMl2/f/75B2vWrMHXX3+NrKysmqZBgwbh1VdfRffu3WtstEEEiAARcAUCq3akYeuhK4KpBvp44vOn2gtsxsq/XISaj7hINeZKXUIKc/uQDRi35DgKS6UCodkj2iIi0PoINDM2nMOpNGH0my7N/fHSXS3MYi7ijjmWO7a4PNUvGv07hojNTl83VFZhxPyjknne1zMC9/eIkNiNBsacsReX6VzUoTZc9CFblNfXJSA5s0TQNYv6xKI//XYsi0sbeFHQxiqLx3aAr+5q2kCJAxmIQD0IiB8IyO3KXgKhL7/8EhMmTEDHjh0xZ84cxMTEwI2FwROVoKAgPvqoyEzVBiBAAiF50EkgJI+Xtd4kELKWlLJ+JBCSx5MEQvJ4WetNAiFrSZGfqxMQXw+QQEilZwQJhFS6cAoMWywQouhBCkClLmxCwJ4CITYBc2nGPN09wcbh5ellcY6aSh8UFoYhtdCyn8VOqJEIEAEiYGcCzigQMiKsqKjAtm3beLHQli1bUFZWxjexhwSffvopBg4caHSlTyJABIiAUxNY/OsF/HkiRzDHxkFafPx4W4HNtPL9gQx8vVuYwsjY/kifSAzpGmas0qcVBMYsPo7iMqlAaMbwOLSUkbZt2tcJSLwsFI10jw3E5DuamR1Fub4STyw4JmkbcXMUbu8cKrE7u+FSbhleWHVaMs3xt3IRldrVHlEp+UoJXl+bINnvpbtboEszf4ldCQMbJxuvabmlfTDGDmiKnadzsGDbBdMmfvuzJ9qhkZ9GYicDEVCCgPiBgNw+7SUQYi8EfPbZZ/j+++/BUg5TcXwCJBCSt0YkEJLHy1pvEghZS0pZPxIIyeNJAiF5vKz1JoGQtaTIz9UJiK8HSCCk0jOCBEIqXTgFhi0WCFH0IAWgUhc2IeAIAiE2MWuiCFWU+SOnIBwF5Z42YUGdEgEiQARsQcCZBUKmvHJzc/Htt9/yYqG9e/eCUgqY0qFtIkAEnJ3AJ1uSse9snmCaLThRykxOnGKpfLY1BXsScs26vDq0BeJjbCOMMHtAlRtHLzqGkvJKySxe41KDdeRShFlbXl17BheulArcb2wThGduixHYjJWqKuCxeUeM1ZrPh3tH4s7rXE/kdTSlAO99f76Gg3FjGhcJqK2FSEAZeeX435fVKUyN+7BPFs2HRfWxRZm4/CSyC4Wp0G7rFIKRt0Rj/7k8zP0pWXLYjx5vg8ggncROBiKgBAHxAwG5fdpLIDR37lxMmTIFv/zyC2688Ua5wyT/BiBAAiF50EkgJI+Xtd4kEALOnTuHP/74AxcuXIC/vz8fie22224zG4XNWq51+ZFAqC5CwnYSCAl5KFUjgZBSJKkfZycgvh4ggZBKVzw+IgMVHvmogPQtNuOUckpzUGEQ3pAwttGnegmQQEi9a+dqI7e3QOha04x5u2lQVhqMpJwgVFRKQ1e72rrRfIkAEVAPAVcRCJmuCLvpVVJSwt/sMrXTNhEgAkTAWQm8930ijqYUCqbXvokfptzbUmATV0orKjGdi1hzMVsYxYT5hfhrMOPBOLBUZVTqJvDUwmNgPMVl0uBm6NkqUGyutW4+qkwjLqpMk1r3Gfn5UegNnFLIpDzApdS610JKLRNXp9r8lUvNtcxMaq5Pucg7IRYi7+SX6DFh6QkJi9H9m6Bfh0YSuxKGsVzUqSJR1Kk7u4Xh4RsjcSS5AO//IBU6vftQHJqFeStxeOqDCEgIiB8ISBzqMNhLIJSSkoL4+HgMHz4cixcvrmNU1OwIBEggJG8VSCAkj5e13q4uEHr//fcxY8YMVHHqcp1OVxOBuWvXrti4cSPCw8OtRSnLjwRCsnCBBELyeFnrTQIha0mRn6sTEF8PkEBIpWdEr8a5KPDIQmmVvtYZkECoVjSqbjAVCF0qz8XFMu48MJSrek40eOckYG+BEKNoLs1YXRGEAt29UFYSghNZfhDeenfOdaFZEQEi4DwEXFEg5DyrRzMhAkSACFhHYPo3Z3HuUrHAuVvLADw/pLnAZq6SwO33Jre/udK1uT9evKuFuSayiQg8seAoyvXSK4WnOIFJfxkCk0krTiKrQPgS163xIXiib7ToiFer5qIXDb0+HA/e0Piqk4tsrfs7HZsOZgpm6+nhhpVPxwts4koFJ7AaxQmtxOXRmyJxRxfbRGIyJ+y6nxN23ccJu06lFWHGhnPi4eCNB2LROtJXYicDEVCCgPiBgNw+7SUQYuOaOXMmHzG0e/fu/INuc2MdO3Ys7r//fnNNZLMzARIIyQNOAiF5vKz1dnWB0DvvvIPIyEgMHToUwcHB2LNnD5YuXYr169fjjjvuwDfffGMtSll+JBCShYsEQvJwWe1NAiGrUZGjixMQXw+QQEilJwQJhFS6cAoM21QgROnFFABKXdiMgJoEQqXFnEAo2/r0ADaDRh0TASJABGQQIIGQDFjkSgSIABFQKYGXVp9GmigKUJ+2wZgwsKlVM6ot6grb+W5OaDLcBYUmVoEzcRrFCYQqzAiE5Kb6mvDFCeQXC1/yGtw1FI/1iTI5mnCTRb5hEXBMyx3cPo9a2MfU15m2P9uazKXNE6bbiwzW4aPH2tQ5zRGcQMggisRkFOzUubNMB0NlFUbMlwqSHuFSww3hUsOdzyjB1PUJkl5fvYdL/deUUv9JwJBBEQLiBwJyO7WXQKi8vBwDBw7EgQMHLA6RUg5bxGPXRhIIycNNAiF5vKz1dnWBkDlO2dnZiI2N5ZsuX74MrVZrzq1eNhIIycNHEYTk8bLWmwRC1pIiP1cnIL4eIIGQSs+IaN9SePmlAx61R46hCEIqXdw6hm0UCFH0oDpAUXODE/B094Svxhc6T53dxmIuzZg1EYRIIGS3JaIDEQEioCABEggpCJO6IgJEgAg4KIFnl59ETqEw6szATiEYdUvtUWfEU1nxx0X8cjRLbObrz94egxtaB5ltIyO4tO3mo88wNnIFVuaiAdXVh7moQwO5qEOjLEQdctZ1m8alzEu8XCKYXqdm/njl7rojYY1bchyFpQbBvnd0DeOEVpECmxKVknIDRi86LumKRYpiEaPScsrw0lenJe0sKhiLDkaFCNiCgPiBgNxj2EsgtGrVKowfPx7t27fHnDlzEBMTY3aoLEKGvz8J6szCsbORBELygJNASB4va71JIGSe1ODBg3nB5YX/Z+884KMq1jb+pPeekEInoYUuIqCAAjZUrCA2QBFQQdFPr11UEEURsACCKCh4USxXVCwIKqiAAgIKIQQIIQkJIQ3Se8I3s7iw55zdzcyWJLv7zv1598ycd+bMPLNJOHv++7zHj4P/HbB1IUBITlEChOT0Eo0mQEhUKYpzdQXU9wMECDnoO8LD7QxiIzPh41VlcgUECJmUxqFP6AEhcg9y6G10mcm3BBchAoRc5u1GCyUFXE4BAoRcbstpwaQAKeCCCtz7bhKqahoUK28MKlEE/1uZzVIaHWKpjdTFx8sds29NQJtw2z80UF/LEeuny2vx4MqDRqc+ksEekyRAHXNpp4xegDU+9lEKThYpvxh2aWI4po5sY6qL07bf//4BlFYqIZ/GUrTpxXhkVQryS5Q6jugZjnuH217HIvaemW7kPXPf5W0xrHsYCliauYdZujl1mc5gvYsJ1lPLQnUbKaB+ICA7bFMBQk888QSWLFmCdevW4corr5SdJsU3gwIECMmJToCQnF6i0QQIaZU6c+YMevTogd69e2Pt2rXaABu0ECAkJyIBQnJ6iUYTICSqFMW5ugLq+wEChBz4HdErOg+1HiWohfIDEv2SCBDSK+FcrxwQOoMGZFUXoqpe+QGXc62UVuMMCjQHIKR2EeJORnwevp7ahx5+bl7wrg/CiZJgnKxoOqcjZ9hbWgMpQAo0vwIECDX/HtAMSAFSgBSwpwLsc33ctXif5hLjLo7B9f1badrNNeQw1xLuwFKpgo14n4QYf8wam2Cuu8ueyyqswpMfHza6fu68xB2YRArbSty1SLuXt7G9HG1mL5/65DCOFyi/GHZx11BMv1LsuiJzc4SYCubKM8WIK49omjdjOsrsn4xGucU1eHR1iqbLjFHtMTAhhEFOdbifpY5Tl8kj2mB4j3B1M9VJAZsooH4gIDtoUwFCb7/9Np5++mn8+OOPGDJkiOw0Kb4ZFCBASE50AoTk9BKNJkBIqVRFRQVmzZqFFStWYM2aNbjqqquUATaqESAkJyQBQnJ6iUYTICSqFMW5ugLq+wEChBz4HTEopgilHgwSOaPMR69fEgFCeiWc65UDQkV1ZcivKXauhdFqnFKB5gCEuJCVdZUorS49p6kpF6EQd1/UV4Uj5XQAquvdz8XTASlACpACjqAAAUKOsEs0R1KAFCAFLFegoppBEcu1qYp4eimeZkq27Egtxts/ZBjtZi83FaMXc6DGlOxyvPTlUaMzFk1vxTvX1DXgnqVJmnEmDIvDVX0iNe36BmNptQbEh+CRa9rrQ1ziNaOgEs98ckSzVj10ozmhapj1RSoO51QoWvt2CMLjoxtPT6boJFA5zqCyp4xAZY+P7oC+HYItfi8IXJpCSAGTCqgfCJgMNHGiqQCh3Nxc9OvXD1dccQVWrVplYjbU3JIUIEBIbjcIEJLTSzSaACHo3Nf++OMP5OXlISkpCYMHD8aCBQvQoUMHURml4wgQkpOMACE5vUSjCRASVYriXF0B9f0AAUIO/I6I8a+Gf1AO3Dyqja6CACGjsjh8IwFCDr+FLrWAlgYI1dXUoqy4DBXF5aitroW/hzfc3KNQgFh4+oWy36eeLrU/tFhSgBRwbAWcFRAqLCzE6tWrkZycjKysLCxatAgJCQnIyMhAeXk5EhMTHXvjaPakAClACggqUMhSEc0wkopo2pVtcUnXMMFRlGFf7DiJdTvzlI3/1u6+lIFHveXBI6ODOUnjX2nFeOM741BVPHNemi3ovFTOYK+pRmCve4e3xoiepjU3lhrOXmBLS94yU/swZ1xndGzl1+jU531zDP9knP8CCe/QLS4AM2+Jb7SvbEDqyQq88HmqptuzN3dCYutAXfudRtykLHEG01yEGkgBEwqoHwiYCDPZ3FSAEE+DM3PmTJw4cQIDBgxAYODZnxn1xCZPnowbb7xR3Uz1ZlCAACE50QkQktNLNJoAIeDZZ5/Fhg0bwD9PKSgoQLt27TB69Gg899xzCAoKEpVSKo4AISm5QICQnF6i0QQIiSpFca6ugPp+gAAhB35HuLG5t47MgI+30m5avyQChPRKONdriCdzOjlTS+nFnGtbnXY1zQUIGaYZa2hoQG1RDcpPlOngoOqKKvD/6urq4eHmDncPPzR4BcPTNxC+wVEIiomHT5DpD+mddrNoYaQAKeBwCjgjILRu3TpMnToV3BJbX7Zt26aDgi666CKcYfl2/vrrL3h5eelP0yspQAqQAk6rQNYplt5qjTa91WPXdcAFHYMtXvfC79KxO63EaH8OTHBwgspZBbYkn8J7P2cZlSM2zAfz7+pq9Jy6sai8DtNXatNK3X9FWwztZhr2mvtVGpKOlymG69E2EM/c2EnR5uyV7//Ox5rfczTLfHdKDwT6emja1Q1vb8jAjiNKF+b2UX545bbO6lCr6weyyvDKujTNOLNvTUB8tL+ufdKyJFTXNihibhzQCmMHxSjaqEIK2EoB9QMB2XGbChCaO3cu5syZ0+j0Xn31VTz00EONxlGA/RUgQEhOYwKE5PQSjSZASKlUcXExPvjgA7zwwguIj48H/0zFz69xoFo5SuM1AoQa18gwggAhQzVsd+xsgNCZhlrbiWPpSOyZmZtb4/dYlg5P/ZpHAfX9AAFCzbMPNrtqGwKEbKYlDUQKkAK2V6C5ACG+Ep5mLC8/D4XH8lF8oghlBWU4VVCInJwc3Tcpqqur2T903BAQEIBWrVohJiYGQWGt4BcWi+DYzgiJ6woPH9vfPNleZRqRFCAFXFUBZwOEjh49ioEDB6K+vh7Tpk3DqVOndE5C/MOsvn376tp4qoHPPvsM1157ratuO62bFCAFXEiBI8yJ5EUjTiTPMSeS7v86kVgiR2llHWZ+lor8khpN95hQH7zEQAZ/H/pAkIvz7Z58fLJNC6bwc8H+nlh6r5irHdf6kVUpvJuiPHR1OwzqHKpoM6zM/zYde48pYa4usf54YUyCYZjTH6/6LRsb/ylUrDOAvUeXT+2haDNV4ZAXh70MS3SINxZO6GbYZJPjPWy/FrB9U5fX7uiCNhG+uuYH3k9GCfs5NCzX9IvEnUPiDJvomBSwmQLqBwKyAzcVIHT69GndPUBj84uMjERISEhjYXS+CRQgQEhOZAKE5PQSjSZAyLhS8+fP10FCr7/+uu7zFONRlrcSICSnHQFCcnqJRjsbIJS25Wqwb0eKLt8ucf4RFyGm90t2GZsGbT4F1PcDBAg1317Y5MoRAcUIDixgDhjKDxb44OQgZBOJaRBSgBSwQoFmA4TYv6HycnJxeG8KTmefRnZGFlJSUsDz2RcVFaG0tBS1tbU6QMjHxwfBwcEICwtD69at0bVrV0S17ojQtj0Q1q4nuQlZsf/UlRQgBeyrgLMBQu+++y4effRR6D+8WrBgAZ5//nndt904ILRp0yZdKgFunf3MM8/YV1wanRQgBUiBFqDAvsxSvPb1Mc1MXmauJx2Y+4k1xZTLCR/zooQQPDyqvTXDO03ftdtzsH53vtH1eHq4YdW0XkbPqRtPnK7G4/89pG7Go9d2QP9Opt2g3vohAztTlc43PKUWT63lSmX++mPYm65MEcZ/BvjPgkj57+8n8MPfBYpQGcBL0bGRyh9HirB4Q6Ym6s2J3RAV7K1rf3jVQRSUKL8dPJKlmpvEUs5RIQXsoYD6gYDsNZoKEJKdF8U3vwIECMntAQFCcnqJRhMgZFypffv2YfDgwRg/fjyWLVtmPMiKVgKE5MQjQEhOL9FoAoRElRKPI0BIXCtHilTfDxAg5Ei7Z2Su3u5nEB2RCW8vbZoxAoSMCEZNpAAp0KQKNBcgdCqnECm7kpF5JBOHUw6B3xDxHPaGKWvUQnA3IQ4KdezYEb169UKXxN46SCiiU38GCYWrw6lOCpACpECzK+BsgBAHf95880389NNPug+x1IDQ999/j7Fjx2L27Nl47LHHml1/mgApQAqQAvZWYAcDQ95mgIi6cNcT7n5ibdnAgImPGDhhrNx2cQxG929l7JRLtb3/SxY2H1A6zxgKsPJ+9oUCL3fDJqPHGfmVeGbtEc25J2/oiN7tgjTt+oZ3NmZi26EifVX3yl1ouBuNK5UnPz6MrELl514D4kPwyDViINsXO3KxbmeuQjIvTzd8+IAY4KXo2EjlV+ZUtNxIWrp3mNtUCHOd4uWJNYeQfapaMdIQlmruAZZyjgopYA8F1A8EZK9BgJCsYq4TT4CQ3F4TICSnl2g0AULGlfrtt98watQo3Res+Octti4ECMkpSoCQnF6i0QQIiSolHkeAkLhWjhSpvh8gQMiRds/EXE2lGSNAyIRg1EwKkAJNpkBzAELFBcU4/FcKUvcfRtL+JOzatQt5eXnCa/by8tI5CQ0aNAg9+vRHRKcLEJlwETy8z9rBCw9EgaQAKUAK2FkBZwOEPv/8c9x999244447wN2E3njjjXMOQomJibj55puxefNmrF+/HiNGjLCzujQ8KUAKkALNrwBPicRTI6nL0smJCPY7Cxqoz8nWOcjAgQZ16cBcal52MZcatQa8/ub3Gdh1VOngYxi36J7uCA/0MmwyepzK0sW9YLHfUEUAAEAASURBVDRdXDxLFxdgtA9vfI8BSltUgFJ0KEuNNd72qbFMTqIFnLhn6X7U1DGbWINybb8o3DEk1qDF9OF3LFXcx0ZSxa2e3gse7m6mO1pwZuO+Aqz6VQverWAwme+/MNnMz44gLbdSMfoA5tz1CDl3KTShiu0UUD8QkB25qQChpUuXYvHixY1O78knn8SECRMajaMA+ytAgJCcxgQIyeklGu3KgBBPzVhZWYm4OGWa0jMsRdEtt9yCH3/8UfffkCFDROUUjiNASFgqXSABQnJ6iUYTICSqlHgcAULiWjlSpPp+gAAhR9o9E3MlQMiEMNRMCpACza5AUwNCNVU1SE9KQ/KOJOz/Zz9+/fVXFBQoreRFRPHw8EC7du0wdOhQdOt9IVp1vQRhHXqLdKUYUoAUIAWaTAFnA4TKyspw6aWX6lJCdu/eHUFBQdi5c6fONWj37t1IS0sDhzc3bNgADnNSIQVIAVLA2RX44e98/Pf3HM0yP2RprbxYeitbFI5c3LVon2aoiCAvvH13d027qzXM+fIoDmaXm1w2d/Lhjj6NlYPZZZjzZZombNbYBCTE+Gva9Q0f/pqNTfsK9VXdKweSOJjkKqWovBbTVx7ULPfuS1vjit4RmnZjDT8nFWLl5mzNqXen9ECgr4em3ZqG9bvzsHb7Sc0Q/32wN0txfbb5Jfa+SlG9r/q0D8IT13fU9KMGUsAWCqgfCMiO2VSA0Ny5czFnzpxGp/fqq6/ioYceajSOAuyvAAFCchoTICSnl2i0KwNC+/fv132BauLEiejfvz9iYmKQnp6OlStXYs+ePZg+fTrmzZsnKqVUHAFCUnKxLx+Hov0ln5rtVF9ThIxt48zGNMXJoLirEdX1/8xeqjRnA/JT3jAb0xQnCRCyvcoECNle05Ywovp+gAChlrArVs4hyK8Y4cGF8PRQ5i8nByErhXXA7q3YPzIqGqpRVqf8JpoDLoWm7CQKNDUglJdxEgf+2I99f+3TuUzwGyJLi7e3N3r27Inhw0egdbcBiO09Et7+IZYOR/1IAVKAFLC5As4GCHGBMjIy8Mgjj2Djxo0KvXgayBtuuAELFy5EdHS04hxVSAFSgBRwVgW+ZCmR/sdSIxkWTwYGrWKAkC0LT2PG05kZFm/mdPIBczxx9fIUS211XJXaylCT52+JR9c40w5A+th9maV47etj+uq511du74z2kX7n6uqDNVtz8P3efEVzkJ8Hlk3uoWhz5kpaXgVmfpqqWeLDzG3nIua6I1K2Hy7Ckh8zNaFvTuyGqGDr0/UZDmwsnZk3S2f2gUE6s3nfHMM/GaWG3dCNOUnNvDle0UYVUsBWCqgfCMiO21SAEHe8aGho0EyPt//zzz/gD8BDQ0Pxyy+/gH9mQ6X5FSBASG4PCBCS00s02pUBofz8fEyZMkWXqp3/rtSXtm3b4rnnntM5NLu7N54OV99P5pUAIRm1QICQnFzC0QQICUslHEiAkLBUDhWovh8gQMihts/4ZN3czqB1RCZ8vJX52AkQMq6XM7d29o9DUV058muUH+4685ppbS1bgaYEhOpr63D0n1Ts/XU3dvy5AzzPcl1dnVUChYeH45JLLsGgYSOZi9DFCO/Yz6rxqDMpQAqQArZUwBkBIb0+R48eRXJyMnJzcxEbGwueYqxjR/pWvV6fpnr97eBpZJ+qAk81NLhzaFNdlq5DCpAC/yqwZusJBoco3TDtAYdwAIWDKOrywQM94e1pnwcK6mu11PqDzLnmNHOwMVUeu64DLugYbOr0ufbdaSVY+F36ubr+4PW7uiIuzEdf1bx+9udJfL1LmS7Z19sdK+5zHXjr7/QSvL4+XaPNy7d1Roco03CVYYe9bIz5RsZ4lTlAtRVwgDIcq7FjnsqMpzQzLNyliLsV6ctbDMrbqYLyOrK/tXMorZ9eInq1sQLqBwKywzcVINTYvD755BNMnjwZa9aswY033thYOJ1vAgUIEJITmQAhOb1Eo10ZENJrVFRUhKysLJSXlyM+Ph6RkZH6U3Z7JUBITlpyEJLTSzSaACFRpcTjCBAS18qRItX3AwQIOdLumZmrsTRjBAiZEcxJT3FAyNvdCxlVeeQi5KR77GjLakpAqLigCId2HsSfm//Ali1bdKlorNWLf8Oib9++GDXqGkR3HYi4vlcxW3jbpHOwdm7UnxQgBUgBZwaEaHebX4ElGzOx/VDRuYlcydK4TGTpXKiQAqRA0ynw3i9Z2HLglOKCrUK88caEboo2ayu/p5zGsk3HNcO8zdJYRbB0Vq5c7l66H7V157+NrdbigSvaYki3MHWzpv7nkSIs2iDvYLOOwUFfMEjIsHi4u2H1dNu6SBmO39KOTb4/WQo8ngpPpPA0cTxdnLq8MCYeXWID1M1W1T/Yko2f9hcqxlCn7FvKft62sp87w9I63Afz7uxq2ETHpIDNFFA/EJAduKUAQtw5aPTo0Xjqqacwc+ZM2WVQvB0UIEBITlQChOT0Eo0mQEhUKdvGESAkpycBQnJ6iUYTICSqlHgcAULiWjlSpPp+gAAhR9o9M3MlQMiMOC5yiqcXa+MbAT93bxyuOEEuQi6y7y19mU0JCGWnZiFp6z/44/c/sGHDBlRVKV3VLNWKf+vi8ssvR9cLh+sAIS/fQEuHon6kAClACthUAVcDhLgzHH8QMH36dNx666021ZIGUypwLK8Sz316RNnIaosYLBDu4rCARhRqIAXsqMDbG1jqryNKd9j2zDHlFeacYstiyl2FX4dfz1VLdW0DJi1LMrv8CcPicFWfxr+hzR3Z3v1JC2EtuTcRof6eJq/BnWi4I426fPRgL7i7yBcXTDlcrWQOVz6CDlfp+ZV4dq3279oT13dEn/ZBanmtqi9j+/w722/Dwl2iuFuUvqxkENHPKogoMtgLb03srg+hV1LApgqoHwjIDt4SACHuED1hwgR8/fXXWLRoESZNmiS7DIq3gwIECMmJSoCQnF6i0QQIiSpl2zgChOT0JEBITi/RaAKERJUSjyNASFwrR4pU3w8QIORIu2dmrgG+ZYgMzoOn53nra3IQMiOYE57i7kGtvEN0KyuqqyAXISfcY0dcUlMAQjX1taiur0JW8nEc2paMHX/swA8//GAzuaKiojB06FAMHjkaMT2Hwz+c3BNsJi4NRAqQAlYp4OiAUH5+Pk6eVLoimBPk888/x4IFC/Daa6/hwQcfNBdK56xUIOl4GeZ+laYZZfatCYiP9te0UwMpQArYR4HXvjmGfRmlisG7tQ7AzJvjFW3WVlJPVuCFz1M1wzx9Yyf0bOu6cHxhaS1mfHhQo4thwy0Do3HzRdGGTUaPf04qxMrN2Zpzy6f2QICPh6Zd37BxXwFW/XpCXz33uvJ+Bsd4uUb6t8/+YGnW/lKmWeNr5xqIltziajy6+pAmfMao9hiYcPZzFM1JCxtE0ofxlH4cfDIs9kgfaDg+Hbu2AuoHArJqNBUg9OGHH2LlypWa6Z05cwYZGRkoLCwE/4xmz5494CnhqTS/AgQIye0BAUJyeolGEyAkqpRt4wgQktOTACE5vUSjCRASVUo8jgAhca0cKVJ9P0CAkCPtXiNzDQkoQmhgITw96nSRBAg1IpiTnTYEhPjSyEXIyTbYQZdjb0Copr4G5bXlqGWQUM7BE0jdegg7duzAxo0bbaZYcHAwBg8ejOGjbkZMj2EIikmw2dg0EClACpAC1ijg6IDQwoULLUoNwF3iOLhJxX4KNKXTgv1WQSOTAo6vwItfpOJIToViIf06BuM/13VQtFlbOVlUjcc+0sITD13dDoM6h1o7vMP2z2CuM88YcZ0xXNCovpG4a2icYZPR4w3/FOCj37SgzwcP9IK3p+kUxptZirn3Wao5dXl3Sg8E+poGi9TxjlxfsTkLvyQpU+2pU3Y1tr7iijpMW5GsCZsysg0uS7QtZPD6+mP4O10J9nWNC8Dzt5wH+z5naeO+YunjDIss9GTYl45JgcYUUD8QaCxefb6pAKG5c+dizpw56svr6j4+Phg4cKDuCwOJiYlGY6ix6RUgQEhOcwKE5PQSjSZASFQp28YRICSnJwFCcnqJRhMgJKqUeBwBQuJaOVKk+n6AACFH2r1G5uruXo+4iCz2LbKzaXUIEGpEMCc6bZheTL8sAoT0StBrcypgb0CosrYSpTVnP3zlgNARBgjttDEgFBQUpAOERlxzM6ITL0VwLAFCzfmeomuTAqTAeQUcHRDi6QHWrFlzfkGNHIWGhuLaa6/FDTfc0EgknbZWgfySGjyyKkUzzPSr2uHiLq4LC2gEoQZSwM4KPPnxYWQVKtPmXtw1FNOvbGfTK5dV1eO+9w5oxrznsta4vFeEpt1VGg5kleGVdVo3NcP1D+sehvsub2vYZPR4/e48rN2udc1b81Bvo/H6xq0pp7F003F99dzr4kndERbgda7uzAdvfp+BXUeVqfY6tPLDy+M6Cy+7pq4B9yzVposbz+CuqxnkZcsy58ujOJhdrhiyN0tj9iRLZ6Yv37D3w6cWvB/0/emVFJBVQP1AQLZ/UwFC5eXlqKhQgrH6uYaFhTHnfE99lV5biAIECMltBAFCcnqJRhMgJKqUbeMIEJLTkwAhOb1EowkQElVKPI4AIXGtHClSfT9AgJAj7Z7AXA1TjREgJCCYk4So3YP4sijNmJNsroMvoykBoZOHcpC2/Qh2/GnbFGORkZGKFGMBEW0cfFdo+qQAKeAsCjg6IOQs++CM66isqcfkd7WwwMRL43Blb9s+SHVG/WhNpICtFODprXiaK8MykgE7kxi4Y+ty1+J9YBlcFGXMoBjcNKCVos2VKjtSi/H2Dxlml9y/UzAevbaD2Rh+8sudufjfjlxFnKeHG1ZN66VoU1d2pBaxOWSqm/HGhG5oFeKtaXfGhpcYcJOiAm56tQvEUzd0klru+CX70NCg7DJmUDR7jzeeIk7Zy3xt5mdHkJZbqQgaEB+CR65pf67tR+YotdqIo9TKB1jqOE/XSB13Tgw6aBIF1A8EZC/aVICQ7LwovvkVIEBIbg8IEJLTSzSaACFRpWwbR4CQnJ4ECMnpJRpNgJCoUuJxBAiJa+VIker7AQKEHGn3BOfaOjITvt6VqK6vRsOZBlTUVqC+oV6wN4U5mgLG3IP0ayAXIb0S9NpcCsgAQjxdGM8r7+PpIzxdQwehgvR8pO9Iw46tf4Knn6murhYex1xgp06dMHLkSHQfMAJxfa+Cl1+QuXA6RwqQAqRAkylAgFCTSe2SF2qqB6kuKS4tmhQQVGDK8gOoqFbey1/XPwq3XxwrOIJ42P3vH0BppfJa3FmFO6y4avk5qRArN2ebXX731gF47ubzqaNMBX/6x0l885cypZS/jzvem9rTVBdd+55jJVjwbbomZt6dXdA63FfT7owNT6w5hOxTyns77mbHXe1kylTmklXO3LIMy7UXROGOS2z782RsvkO6heGBK9qeu/SW5FN472dt6rhlkxMR5EcOKeeEogObKaB+ICA7MAFCsoq5TjwBQnJ7TYCQnF6i0QQIiSpl2zgChOT0JEBITi/RaAKERJUSjyNASFwrR4pU3w8QIORIuyc4V0MXId6FQCFB4Rw0zJh7kH4p5CKkV4Jem0sBUUCIw0HlteXwcvdCoHeg8HQNAaGywjIc35uBv3/fg82bNyM9PV14HFOBbm5u6NOnD0Zdcw1iugxE635Xw82dvtFpSi9qJwVIgaZVwFkBoV27duHXX39FTk6OTlD+u7hdu3YYNWoUOncWTyfStLvhfFd74P1klFTWKRY2isECd7kwLKAQgyqkQBMoYMzVZ+zgGNx4oe1dfR7/7yGcOK2EMNRQQxMsuUVd4msG9HzGwB5zpV2kL+be3sVciO7cf7eewA97CxRxIf6eeOfeREWburI/sxSvfn1M3YyXb+uMDlF+mnZnbJi2IhnFFcq/R1f2icTEYXLw2sPMkatA7cjVkzlyDbetI9cjqw4iv0Tl/NUznF3nvBPt9sNFWPKj1hnqrbu7ITLINZyhnPG92pLXpH4gIDtXewFCb731FmbPni07Hbzyyiu47777pPtRB9srQICQnKYECMnpJRpNgJCoUraNI0BITk8ChOT0Eo0mQEhUKfE4AoTEtXKkSPX9AAFCjrR7EnMN9C1FRHA+y818/kMJAoUkBHSgUHOAEF8GuQg50GY64VRFACE9HFRbXwtPd08EeAUIuwgZAkL1tfU4cSALh7el4M8//8Rvv/2mcySyRtbQ0FBccskluHjY5YjqOhgR8f2tGY76kgKkAClgUwWcERB68sknsXjxYqM6eXl54bXXXqOHAUbVsX3jfxgskKOCBYZ2D8P9l593QLD9VWlEUoAU0CtQVduAe5cl6avnXu2V6m/WF6k4nFNx7jr8oE/7IDxxfUdFmytV1mzNwfd7880uOSLIC2/f3d1sDD/5wZZs/LS/UBEXyfq+1UjflBPleOl/RxX9eOXFsQnoHOOvaXfGhvEs/V2DKv3dLQOjcfNFcqnBnvz4MLIKqxQSXdyVORFdKedEpBjASMUoYNuPAbZDzgNNu9NKsPC7dE1vV3KG0iyeGuyqgPqBgOzF7AUIvf3225gzZ06j06mvr0dV1fmfX97v3nvvbbQfBdhfAQKE5DQmQEhOL9FoAoRElbJtHAFCcnoSICSnl2g0AUKiSonHESAkrpUjRarvBwgQcqTdk5yrPtWYuhuBQmpFHLduLr2YflXkIqRXgl6bQ4HGACFDOEg/v8b66OP4a11DnS6NYlXd2Q+KTmedQsauNCTvTda5CGVkZBiGSx17eHggMTFRl16sbeJFiOt9BbwDQqXGoGBSgBQgBeypgLMBQr/88gtGjx6N8PBwcFCIp3jkhaefPHLkiA4OqqiowPbt29GjRw97SktjMwVe+DwVqSeVsMAFHYPx2HUdSB9SgBRoAgVOl9fiwZUHNVe6n6UpGsrSFdm6LGCwwh4GLRiW+Gh/zL41wbDJpY7f/ek4fjt42uya/bzd8f595tOE8QGW/3wcvyYrx4oN88H8u7qaHf9obgWe/yxVE/PsTZ2Q2EbceVUzgIM0lLMUe1NZqj11ufuy1riiV4S62Wz9RQbBHVFBcP3Y37X/2Pjv2iQG9lUzwM+w3DigFcYOijnXlHS8DHO/SjtX1x/MGdcZHVu5hjOUfs302jQKqB8IyF7VXoCQyDyOHj2KadOmYevWrQgICMDLL7+MyZMng7uMUml+BQgQktsDAoTk9BKNJkBIVCnbxhEgJKcnAUJyeolGEyAkqpR4HAFC4lo5UqT6foAAIUfaPcm58lRjEcF58DJwETIcgkAhQzUc87gx9yD9qshFSK8EvTa1AqYcgTgYxH8HccCHOwcZFlN9DGMMjyvrKlFaXaprqq2qRU5yNtJ2pWL/vv3Ytm0bTp06ZRgufNy2bVsMHz4c3Xr1R1S3ixHevi9Anz8J60eBpAApYH8FnA0QeuGFFzB//nysXLkS48aN0wi4YsUKzJgxQ/dQ4JFHHtGcpwbbKvD6+mP4O/3s31f9yF1i/fHCGNeFBfQ60Csp0BQK8HRfPO2Xuvzfte1xYacQdbPVdWMAS3SINxZO6Gb12I46wIJvGTR1TAlNGVvLRw/2hnsj9wk8nRRPK2VYRNKTZRZU4elPDht20x1zZyfu8OTs5WRRNR77SPtz8NDV7TCos9yXN15jqdr2sZRthqV76wA8d3O8YZPVx3cu2qcZYxxLDXi9QWrAwznlmPWF1hlq5i3x6BYXoOlPDaSAtQqoHwjIjtccgBB3DVq0aJHOYaiyslL3+cw777yjSz0sO3+Kt58CBAjJaUuAkJxeotEECIkqZds4AoTk9CRASE4v0WgChESVEo8jQEhcK0eKVN8PECDkSLtnwVwD/UoYJFQATw/lA3jDoQgUMlTDsY5FASFyEXKsfXW22aodgYy5BqnXLAMJGQJCfJzy0+U4vjcD6fvSkJSUhN27d6OwUGnnr76eYZ1/Cy0uLg5DhgxBtx69ERV/AaK6DIKnr/N/Q9dQBzomBUiBlq+AswFCs2fP1rkEbdy4UZfeUb0DvP2mm27Ciy++iMcff1x9muo2VuCdjZnYdkj5MLt1uA/m3Wne7cLG06DhSAGXVcCUc8wzzDmmhx2cYz7eloPv9ijTafn7eOC9qa7r2GYs7ZqxN+SyKT0Q5Oth7NS5tje/z8Cuo8Xn6vxAxKGJp3rkKR/VxV6gmPo6zV0/wpzsXmSOduryzI3s56Ct3P3ZWz9kYGeqcg86MLeel5lrj61KdV0DJi3VpgacMCwOV/WJPHeZjIJKPPPJkXN1/YGrgF/69dJr0ymgfiAge+WmBoT4Zzn3338/9u7di6CgIMydOxf33HOP7LQpvgkUIEBITmQChOT0Eo0mQEhUKdvGESAkpycBQnJ6iUYTICSqlHgcAULiWjlSpPp+gAAhR9o9C+bqhjPgqcZ8vM/naTY1DAeFymrKUN9QbyqE2luQAiLpxQynSy5ChmrQsS0V8Pbw1lk7V9dVGx3WEBASgYP0g/h5+SPIu/EPfdWAEE9FU5Jbgqx/MpGVkonU1FTs27cPPN1YQ4PS6l1/Lf2rn58f4uPj0a9fP3SI74LIDj0R2XkQfIPPf5irj6VXUoAUIAWaWwFnA4Q40Dls2DBMnToVb7zxhkbeKVOm4JNPPtGlGOvdu7fmPDXYVoHVv53Aj/8UKAYNDfDEkkmJijaqkAKkgH0UMJWC6KVxCejUyt/mF12/Ow9rt5/UjLt6ei94NGaPo+nlHA2PrzmEE6eM3+MYrpC7LHG3JXPFmCtbN+ZeM7MR95qC0ho8/GGKZugHr2qHwV3kHHQ0gzhAA3dw4k5O6vLK7Z3RPlIuFZcxl6yYUG8sGG87l6zSyjrc/36yerqYPKINhvcIP9duyhnp4Wva46J42zuEnbswHbisAuoHArJCNBUgVFNTo/vCwIIFC1BbW4srrrgCixcvRps2bWSnTPFNpAABQnJCEyAkp5doNAFCokrZNo4AITk9CRCS00s0mgAhUaXE4wgQEtfKkSLV9wMECDnS7lk418ZSjRkOe7rqtCbdj+F5Om45Coi6B/EZ59YUI6u6AFUsrRMVUsDWCnAAyNfTF+W15TAGCekBIRk4iM9R1EVIDQjxvg31Dag+VYW8lJPISEnHiewTOkDo+PHjyM7ORkVFBThIxIuHhweCg4N1NtXt2rXTffAU1z4eYW17IKx9b/iGtNLF0f+RAqQAKdDSFHA2QOjnn3/G5MmTkZeXpwOF+vTpowNQue7cCW7NmjWIiYnBrbfeqtiK66+/HoMHD1a0UcV6Bf63Ixdf7sxVDOTp4YZV03op2qhCCpAC9lGAu81w1xl1mX9XV8SG+aibra5vPnAK7/+SpRnnnXsTEeLvqWm3pOFAVhkqaxrQu10gvD3dLRmiSfs8sCIZJRV1jV5TBNp6ZV0a+PoNSy+mw1M3dDJs0hwXs+tPY/NQl/sub4Nh3c8DJ+rzzlL/7eBpvPvTcc1yFt3THeGBXpp2cw0fMfB1gwp85e9t/h63VTEFdE1nQNfFBkDXqbJaPPTBQc1lH7iiLYZ0C9O0UwMpYK0C6gcCsuM1BSC0c+dOPPDAA0hJSUFISIgOFBo/frzsVCm+iRUgQEhOcAKE5PQSjSZASFQp28YRICSnJwFCcnqJRhMgJKqUeBwBQuJaOVKk+n6AACFH2j0r5hrkX4zwoEKzqcb48AQIWSFyE3cVBYQIDmrijXHBy+kBoLqGOqOQED/PXYY4QFRbbzrdoVo63ifAKwBeHuY/+DUGCPGxfD18Wb6xM8hJO6H7LzfrJAryC3Dq1ClUV1crACHuHBQZGYmIqBgER3dAaJtEBES1g3eA838rV6071UkBUsBxFHA2QIinDpgzZ470BnC3Ie46JFuqqqrw8ssvY+LEiUhISNB0//bbb3VtiYmJ6NTJ/ANcfeddu3YhNzcXbdu2BQecHLnwh6j8Yaq6rLy/J3y8Wv6DffW8qU4KOJoCpsAI7uLF3bxsXUwBSfPu7ILW4ezf1VYWQwcdDmU8em0HJMTY3gnJymkquo9fso85kCqajFaeYumuejWS7spYurILOgbjses6GB1T31hRXY8pyw/oq+deJw1vjZE9I87VnfWAp73j6e/U5UMGq3oxaFWmfP7nSXy1K0/RxZv9PfuA/V2zVclmjlNPMOcpdeHv9/6dgs81l7N9nerC+3pOCDpoMgXUDwRkL2xPQKi8vByzZs3C0qVLda7Po0aNwqJFixAbGys7TYpvBgUIEJITnQAhOb1EowkQElXKtnEECMnpSYCQnF6i0QQIiSolHkeAkLhWjhSpvh8gQMiRds+Kubq7NSAu4nijqcYozZgVIjdhV5H0YhwMKq2vRHFdOTkHNeHeuOKlDJ1+jEFC/Lybm5td4CCutylAyM/Lj6UoC0JNVQ2K84tQWVCKqsIy5OQWoriknLkMcUctN3h4+TIQKAx+YbHwC43WOQb5MdcgNw/bP3hxxfcHrZkUIAXsp4CzAUKHDh3CwYPab9M3piAHcTp27NhYmOL8pk2b8Pjjj+PIkSPgzkWDBg1SnOeVwMBAHUx62WWX4bvvvtOcVzeUlZWhc+fOKCkpwYQJE3QPOdQxjlTfmnIaSzdpXRveZq4NEZKuDY60bporKdBSFGhqSC/lRDle+t9RzfJn3hKPbnEBmnaZho37CrDqVyVw2LtdEJ68Qe53t8w1rY01BeYYG3fGqPYYmGA+LdSznx5Bel6lovvAziGYcXV7RZu6Ult/Bne/s1/djPFD43B1X+dPg7x2ew7W785XrN/X2x0r7pOHer5lsNEnRmCjjx7sBXd2v2qLcozt8XNsr9XlaQaR9TSAyOrYvk40sq93Do3FNX2j1N2pTgpYrYD6gYDsgPYChPbs2QPuEpSenq6bEk8jPG7cuEanx/993rdv30bjKMD+ChAgJKcxAUJyeolGOxMg1FBfgaqiJNGl2y3Oy681vPxbmx2fACGz8mhOEiCkkcQmDQQI2URGxSAECCnkcJqK+n6AACGn2drGFyKaaoxchBrXsrkjGnMPIteg5t4h17u+3kWIr9wYJCSjiKhzkH5Mfr2KWnbzVFelb2LfJvVGoMp9KKDBEz7MUehobhWO5p/BmYZ6zgfBnTkUefqwNAeBYfDyDYSbO7kinBOSDkgBUqBFK+BsgJC9xa6vr9elKVu5ciW40w+/MeIuQuYAIZ6Gsq6uDjzlQY8ePcxOkX/T+bnnntPFOwMgtDe9BPPXp2vWPPf2zmgX6adppwZSgBSwrQLrduXiiz+Vaf74P1M/mt7bthf6d7Qslp73yTWHNWP/37XtcWEn8/CLppOqYd43x/BPRqmqFVjzkH3WormQBQ15xTX4v9UpQj3vHdEaI3qYd/PhrjLcXcaw8FRSPKVUY+XORfs0IbddHIPR/Z0/FfJ7LO3dFpb+zrBEBXvjzYndDJuEjn9KKsQHm7M1scun9kCAj4em3ZIGU6DdC2Pi0SVWCdoZc6gaOygGNw5w/n21RFvqY50C6gcCsqPZCxBauHAhZs6cKTsdzJs3D9OnT5fuRx1srwABQnKaEiAkp5dotDMBQjVlacja9YDo0u0WF9rhDoR3nGh2fAKEzMqjOUmAkEYSmzQQIGQTGRWDECCkkMNpKur7AQKEnGZrxRbSOjITvt7Kb62pexIgpFakZdXNuQeRa1DL2itXmo0hIMTXbSkkJAsH6TVWuwjp3YP05/lriLsvAs4E41ixH7LKrE+TYDg2HZMCpAAp0BwKECAkp3pxcTHi4uIQHByMJ554Qpdykj+UMAcIXXjhhfjrr79032zmaQ9MFQ4f9ezZE23atMH27dudwkHoSE45XvxC6yby7M2dkNg60JQU1E4KkAI2UoCnVeLplQxLgK8Hlk8xDysaxsscF1XUYfqKZE2XKSPa4LIe4Zp2mQZjgAvv35IBobS8Csz8NFVombddEovRF5h3feGwEYeODMtwputkpm9j5e6l+1Fbd0YRdvPAaNxyUbSizRkrC79Lx+60EsXSOkX74aVbOyvaRCrbDp3GOxu1znhv3d0dkUHm01qLjM9jOAjHgTh1eYXBte1VcO3kd5NQWaPMYXf9ha0wbnCMujvVSQGrFVA/EJAd0F6AEIf2f//9d9npYPjw4ejXr590P+pgewUIEJLTlAAhOb1EowkQElVKPI4AIXGtRCMJEBJVSi6OACE5vUSiCRASUcnxYtT3AwQIOd4eWjVj7iLk5VmDkIAieHrUGh2LACGjsrSYxs7M2rGV9/nc9fqJkWuQXgl6bQ4F1IAQn4MsJGQpHMSv1Rgg5OfmhQgPf5RU+uPQ6QBU1NnmG6L82lRIAVKAFGguBZwVEPryyy+xevVqJCUloby8XJfqi6cbuOeee3DddddZLHdlZSXWrl2LMWPGICgoCC+++CJef/11s4DQyJEjdS5DHBLiKdAiI42nc/niiy8wceJEzJkzR+ci5AwOQidOV+Px/x7S6P3INe0xIN46NxHNoNRACpACGgVWbM7CL0lK55TIYC+8NbG7JtYWDfUNZzBhiTaVlS2cakwBQu8x5xZ/Gzm32EIDwzH2ZZbita+1oIdhjP5YBOp48IODOF2m/Azmyj6RmDgsTj+Mydcpyw+ApzwzLNcz96BxzEXI2ctslvbuEEt/Z1h6t2fp6a6XT0+351gJFnybbjiU7vi1O7qgTYRtvkCy82gx3vo+Q3ONBeO7IibUR9E+fWUyisrrFG1XsffEBIH3hKITVUgBAQXUDwQEuihC7AUIKS5CFYdUgAAhuW0jQEhOL9FoAoRElRKPI0BIXCvRSAKERJWSiyNASE4vkWgChERUcrwY9f0AAUKOt4dWz9jN7Qz7EK4MEcH5DBZSfkDFB6+ur0ZZTRnqefodKi1OATUg5CiuQb6eviztk5cuDVRtvfZ9Z4nQPp4+OHPmDGrqld/EtGQs6mOdAsYAIT6iKCRkDRzEr2MICBlLL8bdg1p5BOA4cw46WBgI5fc0+QhUSAFSgBRwPAWcERB6+OGH8f777+s2w9PTE/xhBIeEuEMPL/z8K6+8oju29v9EAKHLLrsMU6dOxe23364Df55++mmjlx06dChycnLwzTffYMCAAU7hIFTM3ESm2clNxKiI1EgKkAIKBRb/mIk/Dhcp2tpG+uLV27so2mxZmbI8iYEoyn8pX8eccW5nDjnWFFOA0MIJ3RAd4m3N0Hbru51pv4TtgUgZ2SsCky5rbTb0vvcOoKxK+RnLtUzbOwS05b+L+e9kw3J130iMH9o4XGTYxxGPOajKgVXDcknXUEy7sp1hk9BxcnYZXv4yTRP74tgEdI7x17Rb0vB7ymks26R1KVo8qTvCApQuRY8yV6lcC12lLJkb9XFtBdQPBGTVIEBIVjHXiSdASG6vCRCS00s0mgAhUaXE4wgQEtdKNJIAIVGl5OIIEJLTSySaACERlRwvRn0/QICQ4+2hzWbM3YQigvOMQkLkImQzmW0+kCEg5EiuQUE+QfDz9AOHg+rOnP1ws6quSle3VKRA70B4uXuhvLacICFLRbRRP1OAEB++MUjIWjiIX8MQEDKVXowDQpmlvkg+RWlRuGZUSAFSwPEVcDZAaNu2bbjyyivRunVrLF++HMOGDYO7u7sODtq8eTOmTJmC/Px8XRoCW6QUEAGELr30Uqxfvx59+vRBWVmZzkXI21v5MHvr1q246qqrMGvWLJ3DUf/+/Z0CEDLlJsJBAQ4MUCEFSAH7KvD6+mP4O71UcZEusf54YUyCos2WFWNpsC5NDMfUkW2suowpQGj2rQmIj7YNmGHVBI103rivAKt+PaE5w1NRFZQqv/AyqEsoHrrKPLAyaVkSqmuV8NWNA1ph7KDGXYAeXnUQBSXKa4pASZrJO2DD/e8fQGmlEqyyFI46lleJ5z49olHhqRs6ole7IE27JQ0/JxVi5eZsTdflzC0rQOWW9dQnh3G8oEoRezGDn6ZbAD8pBqEKKWBEAfUDASMhZpsIEDIrj0ufJEBIbvsJEJLTSzSaACFRpcTjCBAS10o0kgAhUaXk4ggQktNLJJoAIRGVHC9GfT9AgJDj7aFNZ8whIZ5qLDTgNDwN3IQIELKpzDYdTA8IORIcxN2DOEDi6e6p0EIPC1XVVTNQSN4FiANCfFw+DkFCCmmbvGIOEOKTMQUJ2QIO4uOLAEJ+DcFIK/ZHTrnS2p33p0IKkAKkgCMq4GyA0Ny5c3Upuj788EOMHTtWsyWrVq3CtGnTwONmzJihOS/bIAoIfffdd1i2bBkee+wxHbh05513Ki7F57plyxYcPnwYubm5sAcgxB0Tq6urwW/mzBWeRs3Pz89cCCoqKnTOTOaC9DH3vpuEqhrlA219Kh2Ra1VVVTU6Z74u7hbl4WE6/WdNTQ3c3Nzg5aV0XzBcA3eZqqurg4+P6b/zzaWj4TzVx6Sj+PtRrZ1h3Rl1NJZaqU+HIDwxWptaSf8za6iJ+lgk5rm1h3EsXwks9O8UjEev7XBuONmf6zqWumyikdRlfMBHr2mL/vFh58ZWHzTnz/WXO3Pxvx25iikxZhUJrfxw+GSlor03g0ueZJCJvhh7P45fsg8Nyl+nuHVwDG64sJW+m+ZV//vxyU9SkaNy0RnWPQz3Xd4Wzv77cfL7WqCHQ1UcruJF5v2YX1qHxz7Sps58eFR79G3nZ5O/M9/tzcfHW3M0e7lqei/2eYjbuXb+Hnn122yknqw418YPDH/eRH5mRWKMvR8VF2UVGR3p77VavfP1ptTx/FXFjtQPBMR6nY8iQOi8FnSkVIAAIaUejdUIEGpMIcvOEyBkmW7mehEgZE4dy84RIGSZbo31IkCoMYXkzxMgJK+ZI/RQ3w8QIOQIu2bnObqBpRzTuQmdTzlGacbsLLoVw4d4BcDX3RvFdeWosgCqseLSFneN841EuHcQShtqUHlG+c1HPqiloJAeENKPQZCQxVtkdUcOfwWw9yZP+2aqqCEhW8FB/Hp6QMhYejF+nqcYq6sKR8rpAOY2xT7Zp0IKkAKkgBMo4GyA0LPPPos333wTHMjhqb3U5dtvv8W4cePMpvpS9zFXlwGEeJqzLl26oG3btvjzzz/PDXvkyBFwNyPubvTGG28gJSXFLoBQRkYGSkpK0L17dx1Mc24CBgcnTpxAYWEhEhISTEJC3IHp5MmTaN++PYKDgw16nz8sKirC8ePHERcXh9nr8zROGSN6huO2i8KQlpaGqKgoxMQYd7/gD60PHTqE0NBQnW7nr3D+iAM7SUlJCAgIQKdOnc6fUB1xXTkg1LVrV9WZ89XU1FQdRNWjR4/zjaqj5tIxIiJCNZOzVf6+Ih3F34+upuPTzF0kU+UuYsypRvbn2pyOr351FGmnlG/XrnEBeP6WeF2jJT/Xp8pq8dAHB5WD/lu7sZcnxl6WaPQcb2zOn+vVv53Aj/8UKOYW5OuOmMAGHFE261yQuBsSL8Z+rk05sl3b0w93DO+suIa+Yvj78b0ddZr3wmDmWvQgcy1y5t+PBw6l4a1tZ/SSnHudNLw1RvaM0MFRMn9nwmPaYbqR1JlTL2+DaLc8m/yd+WDTIfyUokyJ5sHAoNUMENIX/d/rrw77IuWEEjbr1S4QT93QSeeYKPP32tzPNf2dcc6/M/r3k+ir+oGAaD99HAFCeiXoVa0AAUJqRczXCRAyr4+lZwkQslQ50/0IEDKtjaVnCBCyVDnz/QgQMq+PJWcJELJEtZbfR30/QIBQy9+zJpuhOuUYuQg1mfROfaFI7xC09YmAv4cPg4PqUFhfYRQS4iLoQSF+3JirkA9zJQpQuRKRkxBXrvlKYy5CfGZ6SIh/4M2BIi8P004AMivRA0LG0ov5uXkhwsMf+WWBOMjSi2k/Ypa5EsWSAqQAKdByFHA2QGjt2rW49957MWrUKHz88ccwTOXFv/1+yy234NdffwWPGz16tNUbIQMI8Ys9//zzWLBgAX744Qdd+jPexp2MVq5ciX/++Qfx8fF2A4SKi4t1zj+xsbH8skYLT4HGISIO9pgq/JvtHCLiUI8pBwDuwsOdkCIjIzFrXSYy8pUPLwcmhGAGc1vIzs7WwT8c7jFVcnJydPCPKRiJ9+MPQLnrT1iYaRcRDkBwQIjPyVTh6+Jzj46ONhWC5tLRnKsR6Sj+fnQ1HR9ZlYL8EqXL6oge4bh3hDLdl+zPtTkd5399CHszlXBDXLgPXr/zPJwn+3Odzn6HPLtW6wLDf1BvuiAEYy5pb/Jntjl/rt/ZmIlth4oUc4sL80EsYyt3Zyg1imXt8+86r5H657qKpRa7l6UYU5dxA8Nx/UXK/TSM0f9+fGNTIY7mKp1mLowPxv9d00EHkjjr78e/UzLx+iblHnB9+N8g/reIF5n3o39gCHiqN3WZMCwOF8SdscnfmVWb07ExqURxCX8fd7w3tee5Nv3f64/31GDvMWWsPo2gLX+u1e/HcxMxOJDRkf5et4x/9xhsn9Ch+oGAUCeDIAKEDMSgQ4UCBAgp5Gi0QoBQoxJZFECAkEWyme1EgJBZeSw6SYCQRbI12okAoUYlkg4gQEhaMofooL4fIEDIIbat6SYZ6FuK8OCzTkIECDWd7s58pU7+MYj1Pv/AJ6++HMUNStt6Y+vXw0KmQKFA5kjk76VNoUGQkDE1m6ZNBBDiM+GQEAeEbAUH6ccsr62AO3t4GMTeG4aFuwe18ghAZqkvkhkgRIUUIAVIAWdRwNkAIe5MMWjQIJ3rDHemGTJkCAIDA3XQy++//45Tp07p3Ho4JGQKbpHZW1lAiH/jPzExEVdeeSU+++wzFBQU6BxtRowYgc8//1x3aXs5CMmsy5axr6xLw4GsMsWQPdsG4ukbTbv9KIKpQgqQAhYrcN97B1BWVa/of+0FUbjjEtOgoCLYgspHzDVng8o1J9jPE0snm3b5aewy+zJL8drXx4yG8TRRPF1USyzzvjmGfzJKFVPjbkodWYqxDX8rLYQa06i0sg73v5+sGItXpoxsg8sSwzXt6oaXvjyKlOxyRXOf9izd3PXn05opTjpJ5XBOOWZ9cVSzmmdv6oTENpbd1921eB+7F1UOaZiyTHlGvmbMeSo0wBNLJml/hhZtyMSfR5QAVPsoP7xym3FXKfnZUA9S4LwC6gcC58+IHREgJKaTK0YRICS36wQIyeklGk2AkKhS4nEECIlrJRpJgJCoUnJxBAjJ6SUSTYCQiEqOF6O+HyBAyPH20K4z5unG4iKPw9e7EpRmzK5Su8Tghu5B+gU35iKkj9O/mgKFTAFCvB9BQnr1mvZVFBCy16xMgUccEPKpD8HRYn/kVXjb6/I0LilACpACTa6AswFCXEAO3Tz22GNYt24d6uvPPxj38vLC2LFjMX/+fISEnHUNsFZwWUCIX487HHE4aP/+/fj0008xe/ZsbNiwAUOHDtVNx9kAobd+yMDO1GKF1B3Yw/GXx9HDS4UoVCEF7KDAhCX7wVNTGZYxA6Nx00WmXbIMYy05XrczF1/syFV0Zfw9/vtgb0WbTGXrodNYuvG40S4je0Vg0mWtjZ5r7sbnP0vVuPZc0CkYHRnA8T+VRuoUUuq5m0qzNu3Ktrik6/kv06j76euvfp2G/ZlKWJMDMhyUceayO60EC79L1yzx1TtYys8IX027SMOU5QdQUX3+3xe8z+j+UbjtYtuAd+/9nIUtyco8fdGh3lg4vptmest/Po5fk08r2tVuVIqTVCEFrFBA/UBAdigChGQVc514AoTk9poAITm9RKMJEBJVSjyOACFxrUQjCRASVUoujgAhOb1EogkQElHJ8WLU9wMECDneHtp9xq0jM3WAEL/Q6aoiBlsobc3tPgG6gFMoYAwO0i9MFhLi/fSgUHVdNWrYe9IcIKSPL68t18Xqr0uv9lWguQEhU6vjgFBNZQRSTgWg7gx7wkGFFCAFSAEnUcAZASH91vD0G8nJyeCpxfgDCe7cYy6Vlb6fzKslgBBPJXbxxRfjiSee0AFCoaGh2L59+7nLOhsg9P4vWdh8QPmgMyrYG29O1D7oPCcCHZACpIDVCtTUNeCepdpUSOOHxuHqvpFWj29qgE37C/HhlmzN6eVTeyDAx0PTLtLw/d58rNmaYzRUn7LQ6Mlmbnz0oxTkFik/CxnWPQwdGCDEXWLUZcX9PeHr5a5u1tVzi2vw6OoUzbmHWaqsi/5NlaU5adCw4Nt07FGlouoc648XxyQYRDnfIQdtOHCjLksmdUdogGWpqmd8eBCFpbWKIS9noNo9NgLVFv+YiT8OK12B2kX6Yu7tXRTX5JUPf83Gpn2FivbwQC8suqe7oo0qpIAtFFA/EJAdkwAhWcVcJ54AIbm9JkBITi/RaAKERJUSjyNASFwr0UgChESVkosjQEhOL5FoAoREVHK8GPX9AAFCjreHdp8xAUJ2l9glLtDJP5alFgs1uVbRVGPqAfSgkJe7FzzdPdWnFXVyElLIYfdKSwaEqioiKL2Y3d8BdAFSgBRoagWcGRBqCi0tAYT4vEaNGoUdO3aguroaK1aswG233XZuus4GCK3dnoP1u/PPrY8f+Hm74/37eiraqCKmwC8MtkrJLkMkg6yu7RdlMXAhdjWKcmQFiivqMG2FNiXVVJaS6lKBlFSWrp2nO+Jpj9RlwfiuiAn1UTcL1Y39HtF3bMkuOFNZirdyVYq3a9jPLYc9lm3SOiJxqIPDHcZKVmEVnvz4sObUf0Z3QL8OwZp2dcPbGzKw44jrubmt352HtdtPquXA6um9wF2bLClPrDmE7FPViq6XdA3FtCvbKdosrcjAXJ9sy8G3e5R/YwN8PbB8Sg9LL0/9SAGTCqgfCJgMNHGCACETwlAzCBCSexMQICSnl2g0AUKiSonHESAkrpVoJAFCokrJxREgJKeXSDQBQiIqOV6M+n6AACHH20O7z9gQEKI0Y3aX2ykvYM49SL9gS1yE9H1lXgkSklHLutiWCAj5uXnB/0wgckqCcbzMMht661Sh3qQAKUAK2E8BZwaE6urqkJWVpfuvX79+59yDzpw5Azee78YGxVJA6IcffsCYMWMQGxuLgwcPgqc/0xdnA4RMPZz96MFecLfRPui1c/ZX7qDCnVT0pX2UL165TesooT9Pr66twMmiajz20SGNCKKOM5qOgg1Jx8sw96s0TfSssQlIiPHXtIs0GEujpO/XlsE2rxpxVtGfb65X9qcGdy3ep7n8rYNjdKmtOASiLubSXh3Lq8Rznx5Rd8HTN3ZCz7aBmnZ1w1IGJG1NUaaiah3ug3l3dlWHOlXdGEDj7+OO96ZaDqm+8HkqUk9WKHTqz1LHPXptB0WbpRX+88N/jgwL32O+1+ryJUvpp05X5+nhhlXTeqlDqU4KWK2A+oGA7IAECMkq5jrxBAjJ7TUBQnJ6iUYTICSqlHgcAULiWolGEiAkqpRcHAFCcnqJRBMgJKKS48Wo7wcIEHK8PbT7jA0BIX4xSjNmd8md7gKNuQfpF0yQkF4J53htiYAQTy+GmjAcPh2AslrL0iI4x+7QKkgBUsAZFXBGQKi0tBSvvfYa3nvvPfA0Y7xs27YNffv2xbx583Rts2fPtsl2WgoIcUiJQ0vjx4/HY489ppiLswFCPL0YTzOmLksnJyLYz7yTo7qPK9cb2Htm4pL9aGDQgWF58Op2GNzZtOOmYSwdu5YCpoCSp27oiF7tguwmRkZ+JZ5ZqwVZHmdON30FnG6MTWz++mPYm15q7BTCWJqoxSxdVEsrpVV1uP89rYPTpOGt0TrcFy/976hmys/fEo+ucQGadt5wOKccs76Q62M4kLF0j61CvPHGBOdO92gMLrN23a9+nYb9mUqAx5ZOVi9+kYojOUoA6YKOwXjsug6GW6o75u5BHIJSF4Jw1YpQ3RYKqB8IyI5JgJCsYq4TT4CQ3F4TICSnl2g0AUKiSonHESAkrpVoJAFCokrJxREgJKeXSHRTAUJVVVV4+eWXMXHiRCQkJIhMjWKsUEB9P0CAkBViOmvXYP8ihAUVwtOjTrdEAoScdaftsy4R9yDDKxMkZKiGYx/zlG8BXgHw8bQs/YA9Vs8BoerKCBw8FcAeytnGccIe86QxSQFSgBSwRAFnA4S4a9ANN9yALVu2gD+EiIiIwPHjx3WAUGJiog4S4q5Cf//9Nzp10n4T3xINqY95BXamFuOtHzI0QfPv6orYsJbz914zwRbWcDS3As9/lqqZ1fAe4Zg8oo2mnRpIgeSsMry8zrZOPiKqFpbWYsaHBzWh91/RFkO7hWnaRRqe/+wIjuZWGg1tqW4pOczB6T9GHJxmjGqPOPa77ykj6cI4AMJBEGPlANvPV4zs50vjOqNTKz9jXRRtq347gY3/FCjawlg6s8UsrZkzF2PpuuKj/TH7Vss/PH7z+wzsOqpM19aR7cEcthe2KE9/chiZBVWKoQZ3CcWDV2lTmG3aX4gPt2QrYnmFp/Hk6TypkAK2VED9QEB2bAKEZBVznXgChOT2mgAhOb1EowkQElVKPI4AIXGtRCMJEBJVSi6OACE5vUSimwIQ2rRpEx5//HEcOXIEP//8MwYNGiQyNYqxQgH1/QABQlaI6axdPdzrEBueDR/vsx9qECDkrDttn3WJugcZXp1DQjXsP3uUsoYaVJyp1Q1N6cbsobByzJbmIsQBoaqKCCSfaty6X7kSqpECpAAp0PIVcDZA6LvvvsOtt96KoUOHYs2aNfjwww/x/PPPn3MQ4vXp06dj/vz5eOCBB1r+BjnBDE091LYm3ZATyCK9hO2HirBkY6amX692gXjqBoLdNMJQA/5KK8Yb32nhvHl3dtE52NhLouq6BkxamqQZ/q6hsRjVN0rTLtLw8KqDKCg5ez9mLL4lwhBHWAqqF1kqKnV55qZOiA31wUMfyEFUe9NLMH99uno4mEtLZhj8MXOZ+Y65zRiWQF8PvDulh2GT0x0bc+Pp2yEIj4/uaPFa3/3pOH47qEzXxoFXDr7aojz6UQpyi2oUQ12WGI4pI7UwKJ8Hn4+6LLk3EaH+5NKn1oXq1imgfiAgOxoBQrKKuU48AUJye02AkJxeotEECIkqJR5HgJC4VqKRBAiJKiUXR4CQnF4i0fYChOrr63Wf965cuRK7du0C//cpdxEiQEhkV6yPUd8PECBkvaZON4IbziAu8jh8vc9+y6+6vhplNWWob6h3urXSgmyrgKx7kG2vbnw0Q/iIw0LFdRUory1HTb3yQzvjvalVVoGWBgh51gegtDwSJ8pYqjEqpAApQAo4mQLOBgjpU35t2LBBBwktWLBAAQj9/vvvuPrqq3XfMOGxVOyvgOl0Qx1ZuiH7pTmy/8qa9gqf/nES3/yVp7noEObI8gBzZqFCCqgV+D3lNJZt0oIDi5hjTDhzjrFnuWfpftTUKfPh3TCgFW4dFGPRZe9ZloSa2gaTfd+c2A1Rwd4mzzfHCVNAzyu3d0Z0iA/uZWtSlwnD4nBVn0h1s66+kznWvMWca9RlwfiuiGHAUWPl8z9P4qtdyt8hPl7uWHl/z8a6OvT5x5iL00nm5mRYuJMVd7SytKxmbkw/qtyYQgM8sWRSoqVDKvpNX5mMonLll5/4+4K/P9Rlx5EivL1BC4/y1HE8lRoVUsCWCqgfCMiOTYCQrGKuE0+AkNxeEyAkp5doNAFCokqJxxEgJK6VaCQBQqJKycURICSnl0i0vQCh4uJixMXFITg4GE888QROnTqFhQsXEiAksik2iFHfDxAgZANRnXGI1pGZ5wAhvj5yEXLGXbb9mixxD7L9LEyPmF9fgaKGSpCTkGmNrD3TkgAhPzcv1FaFIqMoBFX1HtYujfqTAqQAKdDiFHA2QOjNN9/Es88+iw8++EDnJKQGhN566y0888wzWL58Oe68884Wtx/OOKGC0ho8/GGKZmnTrmyLS7palm5IM5gLNBhLk8OX3b9TMB69toMLKEABFdHdAABAAElEQVRLlFVg474CrPr1hKZbU7jtcHecU2VKx5+RvSIw6bLWmvk01lDFwCBjMI1hP9E0W4Z97H1sCtB6mwFaEQzQmrBkP/sClRKiumVgNG6+KNro1LYxF7F3jLiI6ccz2smg8SsGGH7OQEPD4s4yUH00vbdhk9Md3/feAZRVKb+odk2/SNw5RAvbiC7+MwZbfa2CrXwZbLXCRrDVlOVJqKhWAnGj+0fhtotjNVM0BaKJOktpBqQGUsCMAuoHAmZCjZ4iQMioLNTIFCBASO5tQICQnF6i0QQIiSolHkeAkLhWopEECIkqJRdHgJCcXiLR9gKEKisrsXbtWowZMwZBQUHQf1GUHIREdsX6GPX9AAFC1mvqlCPEhKajviIPRfmnUVHCHFeqy9HA/ufl64WAiEAERgbBw5MeuDvl5lu4qJboHqReih4Q4u0ECanVsU3dnoDQmTNnUFtdy34nlaO6ohpnzjTA09sLfoH+8Avwhbvqd5I+vdhBll5M+fG9bdZKo5ACpAAp0NwKOBsg9Pfff2PIkCGIiIgAh4MOHDiAefPmgTsKHTt2DP/5z39QW1uLPXv2oGNHy9OLNPe+OdL1K2saMPldOacMR1pfU831/1anIK9Y617ZJdYfL4xJaKpp0HUcSIGvGRDymQoI4dNf85D9gZBn1h5GRv7ZdON6yQYmhGDGqPb6qvArf9/z97+58uQNHdG7XctyJPvh7wL893ctoMUde7hzzwPvJ6OkUukSc3XfSIwfahxc2ZJ8Cu/9nKWRYenkRAT7NZ5K6vu9+VizNUfTf/X0XvBwd9O0O0MDu/XDXYv3aZZy6+AY3HBhK027aMP63XlYu10JW/G+/32wN9xsIKUxeGzMoGjcNEALjyVnleHldWmaqc+6NQEJ0f6admogBaxRQP1AQHYsAoRkFXOdeAKE5PaaACE5vUSjCRASVUo8jgAhca1EIwkQElVKLo4AITm9RKLtBQipr02AkFoR+9bV9wMECNlXb4cbvbayFMVZB+FRk4GaimKUF7MH8ZXV4LkB+YclHl6e8A32hW+QH7z9vREV3wp+of7snA0+SXE4tWjCegUcAQ7iczUEhHidICGugm2LKCDEU7xx4MfHs3FLfQ4DFWTn49TJQgYGVel+J3FQiPfnoKKPnw+8fX0QGBqIVu2jERIRAv4LSw8IJTNAiAopQAqQAs6ogLMBQnyPuLXszJkzjW4X//fm4sWLcffddxs9T432UcDYw05zThn2mYXjjmrOQSU2zAfz7+rquIujmdtNgbXbc7B+d75ifD9vd3AHIXuXV75Kw4HjZYrLJLYJxLM3dVK0iVRST1bghc9TzYZOu7IdcyQLNRvT1CeNpfTy8nTDhw/00k3FWOqrYd3DcN/lxlNfbdpfiA+3ZGuWsYLtpy/b18bKpn2s/69G+jNgibvfOGPhABYHsdTl3hGtMaJHhLpZuG5qL96b2gP+PtZ9Ca6OuUpNZO5S6nLnkFhc0y9K3YyjuRV4/jPtzwf/WeM/c1RIAVsqoH4gIDs2AUKyirlOPAFCcntNgJCcXqLRBAiJKiUeR4CQuFaikQQIiSolF0eAkJxeItEECImo5Hgx6vsBAoQcbw/tM2P2oP105n6U5R1j/6WjrLgQJ7KzkZOTg7KyMh0g5OHhgcDAQMTGxuryBPoF+CMkNgRB0SFo1TkaPv6NP+i3z+Rp1OZWIN4/FjHeLetDXWOaqAEhHkOQkDGlLG8TBYQqaivQwByAAr1Nf/BZX1vHwKACZKcex+nc0yguKEJhYSHy8vJQWlqKhoYG8D9q4eHhaNWqFUIjwhAaFYpW7aIR2ykOQQHRKC2LwskK+t1k+Y5ST1KAFGjJCjgjIMT1/uuvv/DOO+8gOTkZubm5un979uzZEzNmzAB/pdK0CkxbkYziCpVTRh/mlDHMuFNG086u5V/tCAMkXjQBSAT6euDdKT1a/iJohk2uwAcMJvmJQSWGJZyltlrEUlzZu7y9IQM7jhQrLtMu0hdzb++iaBOp7DlWAp5iz1yZwH6XXMV+p7SkYkz/MKb/4n/151AHhzsMi7mUgdY6AG05wByIftE6EC1jDkRBAg5EhvN0lOPsU1V4Ys1hzXQfuaY9BsSzL4RYWLYeOo2lG49reoume9N0NGgor67H1OUHDFrOHk4a3hoje2qhpuOFVXjqY+0a/zO6A/p1CNaMQw2kgDUKqB8IyI5FgJCsYq4TT4CQ3F4TICSnl2g0AUKiSonHESAkrpVoJAFCokrJxREgJKeXSDQBQiIqOV6M+n6AACHH20Obz7ihvg6FqbtwKv1vlBaeZA9jDiArK0v3EP706dOoqqrSAULuLMm9n58fwsLCdKkfeGqHzp07IzgsGKFtwtGmbzv4h5ANss03qIUP6CjuQVxGY4AQbydIiKtgm+Lp7okArwCzzkDcPai8thxe7l4mAaGq8kqcOJqNzIMZOJmZg7S0NKSnp6OoqAjFxcXg+Uq5g5CXl5cuX2lICAMVGSTEfye169gecR1iEdmhL+oDuqO2gRzObLO7NAopQAq0NAWcDRDiv9fJlbKlvcuAx/97CCdOVysmNqRbGB64wrhThiKQKtjMHuy/b+TBvl6ajx7sBXdyY9XLQa//KvDOxkxsO1Sk0KN1uA/m3Wl/xyljcIylcFJj73++wJsuisaYgdr0S4rFN3Fl0Y+Z+POwUv+2DJJ69V9I6rWvj2FfZqliVt1aB2DmzfGKNn3FWMo4nhnsI5bWSqRsY1DLO0agFg6M8b1xxpJyohwv/e+oZmlcY661pWV3WgkWfpeu6T7vzi5oHe6raZdpOF1eiwdXHtR0uZ/9vRzK/m6qi6kUfA9d3Q6DOrf8L2Cp10P1lq2A+oGA7GwJEJJVzHXiCRCS22sChOT0Eo0mQEhUKfE4AoTEtRKNJEBIVCm5OAKE5PQSiSZASEQlx4tR3w8QIOR4e2jTGZ9hDhz5h/9AAQOEsjOOYt++fTh06BA4GMTdOcyVyMhIdOrUCQMHDkR4RATC20Wg/YCOBAmZE80JzzmKexCX3hQgxM8RJMRVsE0x5yKkh4Pc4KYDibw8tB9oV5VVIvNQJtKT0pB2+OzvJQ4I5efn62BFU7MMCAhAmzZtdO4SvXr1RHjrzgjpNBCBrTqY6kLtpAApQAo4tALOAgh9/vnneOONN3Dw4EGdM9zQoUMxa9YsdO9uf6cMh34DNNHkX/wiFUdylE4Z/ToE4T+jOzbRDBz7Mh/9fgIb/i4wuYgl9yYi1N/T5Hk64ZoKcNcd7r5jWBJi/DFrbIJhk12OG0uvJXNRY2CMuv8VvSNw96Wt1c3NWn/16zTsz1SmWevOoJTn/gWAFm1gANERJUBkzmXpix25WLczV7EmH5YabCVLESZSdqYW460fMjShCyd0Q3SIt6bdGRp2HS3Gm99r12wtyHMgqwyvrEvTSDTr1gQkRFv3hbeTRdXg6efU5WHmenSREdcj7s7HXfrUhaeq4ynrqJACtlRA/UBAdmwChGQVc514AoTk9poAITm9RKMJEBJVSjyOACFxrUQjCRASVUoujgAhOb1EogkQElHJ8WLU9wMECDneHtp0xgVHdjBA6E9kph3Gn3/+qYODqquV3xA2d0Fvb2+dY8fw4cMRERmBqIRotLugA3wDrfvmlblr0rmWo4AjuQdx1cwBQvw8QUJcBeuLOUCIpxYrqymDqZi6mjpkHTmOw3+l4HDyIfzxxx84evSozslMZGbc6SyCAYsDBgxA3wv6MxehXmjVdTD8QmNEulMMKUAKkAIOpYAzAEJvvvkmnn32WfDf39ydkrvEFRQU6Nzhfv75Z/ToQemXmvtNOX/9MexNVzpldI71x4tj7A8qNPfabXH9uV+lIem4EjQwHPfVO7qgbQTdOxlqQsfAnC+P4mB2uUKK3u2C8OQN9gfzONDGwTZ1WcFgFl8GtciUxgA5PhZ3SuGOKS2pPPvpEaTnVSqmxNNa8fRWvKzcnI2fk5Qp4CKCvPD23cbB1k+25eDbPfmK8WRSDO5NL8H89emK/rzyGvv90cZJf3+Ycp96h0GVIVZAlWl5FZj5aapGy6dv7ISebQM17TINGQWVeOaTI5ouT1zfEX3aB2naK2saMPndJE07B+Y4OEeFFLClAuoHArJjEyAkq5jrxBMgJLfXBAjJ6SUaTYCQqFLicQQIiWslGkmAkKhScnEECMnpJRJNgJCISo4Xo74fIEDI8fbQZjMuPZmKE//8hFMnM8AfwCQnJ0MGDtJPxMPDA3369AH/tndEFHcR6oSo+Fbw9KZvwuo1ctZXR3IP4nvQGCDEY1wVEmJZXVBXXYvKkkrUVtagob4BHp4e8A7wgW+Qr9TPsyn4R+8exDU2FZOXmYvkP5Nw8O9kbNu2TQct1tbW8q2RKhwSuuSSS9D/osGITLiQQUIXw93TOb9dKyUMBZMCpIBTKeDogBBPaduzZ09wV8pvvvkGiYmJuv15//338fDDD2PYsGH44YcfnGrPHHExSzcdx9aU04qpx4X54PW77J/qSHFRB61MX5mMovI6k7N/9qZOSGxj3UNpk4PTCYdV4Nm1DFDJVwIqAxNCMGPUWUDFngvbytJZLTWSzuqtu7shMkju39NLWKq07apUaeq5cyiDwxktqTyyKgX5JTWKKQ3vEY7JI9ro2j794yS++StPcd7X2x0r7jPuCLT6txP48Z8CRXxYgCcWTzr7d09xwkiFQ4YcNlSXOeM6o2MrP3WzU9S5vlxndbE2LWMOS5n5H5Y6U104/MUhMGvK4ZxyzPrCSFq0W1hatDhtWrQGdg8+fvE+zSVvvyQW110QpWmnBlLAGgXUDwRkxyJASFYx14knQEhurwkQktNLNJoAIVGlxOMIEBLXSjSSACFRpeTiCBCS00skmgAhEZUcL0Z9P0CAkOPtoW1mzGiAzJ1foeTEIfy6ZTN27NiB8nLlNxRlLsTfWFdccYXuW97hcRFIGNoVgRH0QbeMho4Wq3MP8o2Av7uPw0xdBBDii3ElSKiWQUHFOcUozStGTXmNDg7iLj5n2KeV7h7u8PT1hJevtw4SCo4NRVBUMAOHzH9z2Bj8YwgHcY2NxVSVVyF1zyHs2/4Pdu7cqXM1q6qq4uEWlfbt2+Oyyy5D936DEN19GILjulg0DnUiBUgBUqClKuDogNCKFSswY8YMvPrqq3jooYcUMvPf37t27cLJkyd1bkKKk1RpUgWMPdjm7g3cxYGKeQVMpY8x7MWdU7iDChVSwFCBR1enILdYCahclhiOKSPPAiqGsbY+/jujFK9/c0wz7Mu3dUaHKDkYpTEHLX6R9lG+eOW2lvXvdO7qwt1dDMvo/lG47eJYXdP63XlYu90IvDK9F3PEczPspjtesTkLvySdUrS3YqnB3mApwkTKoRPlmP0/LXjywph4dInVgiciY7b0mDVbc/D9XqXrUoCvB5ZP6WHV1E+X1+LBlQc1Y9girZclINfd7+xnnz8wUsig3DwwGrdcFG3QQoekgPUKqB8IyI5IgJCsYq4TT4CQ3F4TICSnl2g0AUKiSonHESAkrpVoJAFCokrJxREgJKeXSDQBQiIqOV6M+n6AACHH20ObzLgsNw3Zf/+Ik5mp+PLLL5GdnY0z3ELEitKmTRtcd911iI6JRvwlXXQuQtyBhIptFWjlHYqKhmoUV5Xp3F4qiypQU1GDM8zxxd3LAz7M8cU/LED3ygEPe5SWAAfl15aguK5Ct7xIr2CEevo3ulRRQIgP5OyQUENDA0pOFqPwWIEODiotLEVhQaHuQWxJSQnq6+vBUwiGhoYiJiYG4ZHhCGDQXwiDhCI6RDIAUGuRrt8AY/CPPrWYuZiTaSdw4I8k/PXHLvzyyy/Izc3Vh1v0yud/4YUXYsTIKxDddSBie42Amzv9TrJITOpECpACLVIBRweEFi5ciJkzZ2LlypUYN26cQuOxY8fi+++/R0pKCtq2bas4R5WmVeDLnbn43w7l32QP9gB8NXsQTsW8AgeyyvDKOq3rh2Gvuy9jqWR6USoZQ03oGHjg/WSUVCqdp0b1jcRdQ+PsLs/R3Ao8/1mq5jpP3dgRvdqavgfQdGANT39yGJkF5oH/8EAvLLqnu7HuzdJWx74oMXHJfs21DV1dfmHpxVawNGPqsmxyIoL8tE7Ky5gT2+8qJ7bW4T6Yd6eYE5uptFjPMAeyHk7qQLbsJ6bZQaV7XUyoNxaMF4Oq1Hujr1fVNuDeZdq0XhMvjcOVvSP1YRa97k4rwcLv0jV9+T7z/TZWpr53AOVV9YpT3D2Iv9+okAK2VED9QEB2bAKEZBVznXgChOT2mgAhOb1EowkQElVKPI4AIXGtRCMJEBJVSi6OACE5vUSiCRASUcnxYtT3AwQIOd4e2mTGx3d9g+Ksg9i29Tds374dZWVlVo/r7u4O/jCnc+fOiOrUCh0GxMMvRO4bhlZPwgUGiKoNRFb6CWTl5aKqrIq5vlSx1FBnHV/cGBDk5eulg4N4aqigaAbOtA6DN3OAsWVpjtRihkAQX0spg4Mq6qsR4R2Mtj6RCPAw/oGb4bplACHez1khIZ5KrDCzEP/P3nnAR1WlbfxJmfTeK0kIJXSQIiCKoICKqGvvvWPddXXVz7W7uu6ua8GGYEHs3cVeKCId6SUE0gnpvc2kfOdMmHDbTM6dTCYzmffdX3buPfe95577nJnBO/d/n7d0XwkqD1ci9+Ah5ObmoqqqCjU1NWhqagIHiHx9fRESEmKGhGJjY5GZmYn0wekIT4pEQlYiIlOi4OWlfkLWHkCokx3v4PYc/LFyC9b9vg4rV640j0E6f/Ysp6enY/bs2Rg5eZYZEAoIj7OnG9qHFCAFSAGXVIAAIZeclgE3KF4Wh7sIKYOX0uEldSisK2BNO+ke5zGniHPJKUIqCS0zBTRdRdj7hL9f+jq4cxF3MFLGbfMGYdowfW5XPZXY48fw8/XCm7e4DnBY09SGhUv2KE/f7N7EXZx4bMipwQvfFqhy/n3FcCREqK9LX/wuH+sP1MryuRsTd2USicLKFvztvWxV6l8XpGN8epiqfSA0PPt1Lrbl1ctOZWhCEB65YIiszZ6Vy3hZL8XzcRdOS8DZk3p3rfh7dg0Wfa9+X9gqz3f7m3tR1SAvqT1nbDSunplsz6nRPqSAVQWUNwSsJlrZQICQFWGoGQQI6XsTECCkTy/RbAKERJUSzyNASFwr0UwChESV0pdHgJA+vUSyCRASUcn9cpTXAwQIud8c9nrE/Eb8odXvorGiAB988AFycnLMbiG97ph1cNJJJ2HKlCkIj47AiFNHISy+dzXcHTGmgdJHe1s7qvIr0MyeRK4prUFZWbnZ+Ym7rPDycNzxhQMdYWFhSEpKYk5OCQiPDUdoXBjihsSbXx3hKNRf7kEHm0txpFVuy64HDqrvMKK6oxmtnfIncXt6f5g6TGg0NoKXyBoIwcuHVRwqw+HdxcjPzsOePXuQnZ2N8vJytLVZ18bf39/sJDRq1CiMGDkCiRlJSB6biqi0GCgRIV9vXwQbmIuV77Efx9s62sC15Dq2trWqSozx8mLZW/Zh/Y+/Y/Xq1di1S/1Upz36BwcHY/r06Zg190zEZZ2AyPRx9nRD+5ACpAAp4JIKECDkktMy4Aa1dn81Xv6hUHVetm54qpI9tEGrrJBSirnsRvBVdCNYKYtHr7exckNXsbJDyrhsRiLOmBCrbHb4elNrO254fbeqXw4scHBBT1zBQAxmyNNjLL15NPwNrgEcFlW14L7lahjn7vlpmDS46/eNnYX1ePqLXNV5PX7hEAyOVzvbclcZ7i4jjaGJDHY5Xwx2OVLTir8s2y/d3bx81xlpmJw5MH9zefjjHOQc6XIMtpz4hIww3HNmumXV7letEnJnTYzDRdMT7O6T7/jr7iq88UuRqg9rzlI88Z5396OkulW2z0kjIsFLnlGQAo5UQHlDQG/fBAjpVcxz8gkQ0jfXBAjp00s0mwAhUaXE8wgQEtdKNJMAIVGl9OURIKRPL5FsAoREVHK/HOX1AAFC7jeHvR6xqbkBeb9/iMbKYrz11lsoLFT/4G/vQbh70Ny5cxETE4NRp49FBHMaoei9AsZmI8pzSlGafQTlxWXYv2+/ed4qKirMji8tLS3mEnHcxYlftEdFRZn/hgwZgozMwYhNjUPiiCREpkbB109tea5nhP3hHsTHpwSE9MBBfH+97kF8H0sMFEiIlxGsyC1H4R/5OLgnB5s2bcKBAwfMgJnlXHt65SXHxo0bh/ETxmNQVjpSxw/S/JxruQjxvi2gkK+XLww+hu7D1ZRVY9/GPVj9/Sr8/PPPvS4vZumYfyYmT56M+QvORsyQKYgfNdOyiV5JAVKAFHB7BQYKIHTPPfeY3d6kE/Loo49iw4YNePPNNxEfL3fM4I52vLQthXMU2JZXh2e/zlMd7CnmfJHGHDAorCvw6Cc5yC6R3+BWZk8dGoHbTxukbKZ1D1agnpUWu5mVGFPG9bNTMGtUl4ONcpuj169YxMCeDnmvet2u6lvYeSxWn4e81661568egZjQY9cGWjnOatt/uBGPfXpQdbiHzstEVlKwud1aya+/nc3KsA1Sl2F75stc7CiQu+GMZKXBHmQlwkSist6EO97aq0pdyFydput0dVJ14qIN3MWKu1lJw1HgTF+59lhzjVt6CwPgfLUBuAc+OID88mbpaWLq0HD270KarI1WSIHeKqC8IaC3PwKE9CrmOfkECOmbawKE9Oklmk2AkKhS4nkECIlrJZpJgJCoUvryCBDSp5dItrMAIZGxUI7jFFBeDxAg5Dht3aanpqoSFG3+CvWVh/HOO++gqEj9hJO9J5OYmIizzjrL7DQyct4Ycwkie/ui/boU4OWgSvYexhFWDipn7wGzswqHOmpra81QkDWdOBgRFxeHYcOGYezYsUgdOgjJY1IRzRxffAw+1naz2R7rF46UgGgEeR9zhrG5gwM3SgEhvXAQH0ZvACG+/0CAhOrK6lC4NQ8HdxzA+vUbzO8lDpfpDe5SxZ3CJk2ZjEGj05DCIKGAkABZN9YAIVmSZKW8sAx71+/Gr9//gp9++gn19fIf0CWpuhcnTZqE+WcuYIDQZCSNm6N7f9qBFCAFSAFXVWCgAEJ69X366adx++23692N8u1U4ABzcHiEOTko4wF2Y3sUu8FNYV2BG17fhaZWBWWhSOcaci0pSAGLAmUMirhbo8QXB8k4UOaMuJWV2KplpbakMW9cDK48KUnaZHO5uKoV9y5Xu95o7cRLbfGSW64Q3OmHO/4o45lLhyEluuuap7S2lZVhU5+btTl64rOD2FvcKOtyXFoo7j0rQ9ZmbaWOQWO3aEBjN56SgplHy55Z29dd27mLFXezksb842Jx6QmJ0ia7lv/K3peH2ftTGjOyInHLnN659ny1uQwfrjsi7da8vPz2sao2S4MWSOoopyTLMeiVFOAKKG8I6FWFACG9inlOPgFC+uaaACF9eolmEyAkqpR4HgFC4lqJZhIgJKqUvjwChPTpJZJNgJCISu6Xo7weIEDI/eaw1yNuKM9H8dZv0cBAIUcDQry01YIFC7oBoYiUKFX5oV6fgAd1wN3YS/YU4/DOIuzbuRcbN25Ebm4uWlvlP2bZkoSXWMrKysLxxx+P9KwMpE0ezBxfIuDlpSwMZauXrm395R7Ej24BhOyBg/j+vQWEeB/uDAnxEnWHdxUhb8shbNqwCb/99hsaGhr4adkVsbGx5pKCE6dOMgNCCcPlP9TqBYTKCkq7AaEff/xRl6tRTyfQBQideRQQmttTOm0nBUgBUsBtFHB3QGjFihX48MMPdet96aWX4rTTTtO9H+1gnwK89AkvgaKMO09Pw5QhA7O0jfJc7VkvrzPirrf39bhrakwAnr5kWI95lOA5CuQxN5EHmauIMjhMwqESZwQHezjgI43pwyOwcK642xUHYjgYIxJ/O2cwxqS6BnC4ak8VXv9Z/RDVomtHIiK4y43XmjvSdbOSMXu0ugzb3xlkeVBRLmtSZhjuPiNdRB40GzvAy2Ip45qTk3HqGPXxlHnutt7O6tJduWinatgXsxJgC1gpsN7G3z9i81Eqd3ebNJjNx/z0XnX98foj+GJTmawPXjqPl9CzFk9/eQg7C+TX5Xrcpaz1S+2kgFIB5Q0B5fae1gkQ6kkhz91OgJC+uSdASJ9eotkECIkqJZ5HgJC4VqKZBAiJKqUvjwAhfXqJZBMgJKKS++UorwcIEHK/Oez1iJuqDjMHoa/RVFPq8BJjHEQ59dRTER0dTSXGej1TQE1JDQo25+LgrhysXr3aXA7KaJTbbIschn/wJ06caC61lDlhKFInDEJQRJc9unT/AN+A7rJPLW0tMLWbpJsR5huEQB9/xBnC2bJzn/DkgJCpsw2p/jEIZmPQG44AhPgx3RUSqiutRcHWfOxYtw2rVq0yg2Z6NZTmc8CMlxo7edbJGDppONImZcAv0K87RS8gVFVSaS4xtvK7X80lxiorK7v76u0CLzF2Ji8xNnQyEkbP7m13tD8pQAqQAi6jgLsDQi4jJA3EpgLWnCucWe7I5gBddOMfrDTbvzRKsymHy4EDDh5QkAIWBayBNQ+fn4lhieprOMt+jnzlJbZ4qS1pjGVw0n2Cjjd8vw05tXjh23xpF1aXb2Olsqa5SKmsFVvL8d7aEtVY3751DHx9uh6y6WClm694SRxguf/9bBRUyJ1b+fny8xaJtvZOXPWy+niXnZiIM8bHinThVjk1zL1qIXOxUsYNzDHpZAc4Jv3ji0PYVSiHckYxQO0BBqr1Jt797TC+/aNC1kVYoC9eud76d/xzzK1qM3OtksaQhCA8esEQaRMtkwK9VkB5Q0BvhwQI6VXMc/IJENI31wQI6dNLNJsAIVGlxPMIEBLXSjSTACFRpfTlESCkTy+RbAKERFRyvxzl9QABQu43h70esam5Dnm/f4zm6hJ89NFHyM7ORnu73LrZ3oPMmjUL3K0jNCwUI1iJsfAEeqrYXi072FNzeRsOomRfMX79+Vds3rwZTU3yp9z09B0eHo45c+Zg9LjRyJw+DLGZ8fD2lrsIhfmHgUNCPIwMDmpnQI41UCiIQTqxTgSFatua4OvlYxccxM/HUYBQa3srGo2NaOuQW+7zY7hyHGZOVBw2W7tmLVauXKnLhcraecXExJhdhKbNmoaUCemIHnTs6VW9gFBTXSP2b96Htd+vMQNMvIyeI8Lf3x9Tp07FnDPOQuywaWYXIUf0S32QAqQAKeAKChAg5AqzMPDHwP+b9Io+dHIYqAp+vaUMH/yuLjWjPF8f9t/j7ywco2ymdQ9WYGtuHf79vzyVAk+zElepR0tcqTY6uEELWhgcH4jHLxwqfKQfd1TirVXFQvlXzUzC3LExQrl9ncRLRPFSUdII8PPGkpvkLjDc0Yc7+0jjLOZucxFzuVEGd2HjbmzSOGlEJG46Vbyk1eUv7WAlxqU9ABdOS8DZk3rvqCPvtf/XiipbcN972aqBcIcf7vTT23juGwblHJRDOXrf31pjWPprEX7eVSXbFBtmwH+vGiFrk64s+qEAv++vkTaZP+f8805BCjhSAeUNAb19EyCkVzHPySdASN9cEyCkTy/RbAKERJUSzyNASFwr0UwChESV0pdHgJA+vUSyCRASUcn9cpTXAwQIud8c9nrEnR3tOLTqXTRWFmLLli1mZ5q6OvmPI/YcxMfHBxdccAGGDh2K8MRIZJ4wFMGRznnC0Z7xuvo+9WV1yN14ELs27sRPP/2EoiK1zbnecxg9erQZ6Bg5bbS5LFRQeFB3FxwMCjYEw8fbp7uNL/QECqUFxDndTUg2QMEVRwBC7goHdXR0oHBbAbLX7jV/3jds2CComu00/pk/4YQTcOrcU5E8bhBS2Z8l9AJCvARazh/Z2PLLJvz+++/mEmiWvnrzmpiYiJNPPhkTTpiDhFEnIzhG/Ef43hyX9iUFSAFSwBkKECDkDJXpGFwBrRvhCybG4uLp8hKjpNYxBV75sRC/7as+1mBj6fUbRyHYX/7f4DbSadMAV2Dt/mq8/EOh6iyfvzoLMaHHHDtVCQ5sWPxLEVbuVoIOfgx0yBI+yqcbSvHZxlJZPgfiePASUtI47/h4nDslXtrUb8tLGOTxiwLyiGGQx/MKyOOOt/aisl7uuHsKKy92LSszpow7396LijpFLisNdi0rESYa17yyE8Y2uW5/Ypqdz7QbaLG3uIGVpzukOq2/n5eJ4Um9/43pVfb9vEbx/ZwU6Y9nLx+uOqaeBq3v/eQof/zzMuv9vsE+a78qPmtx4X547krxz5qeMVKu5yqgvCGgVwkChPQq5jn5BAjpm2sChPTpJZpNgJCoUuJ5BAiJayWaSYCQqFL68ggQ0qeXSDYBQiIquV+O8nqAACH3m0OHjLho6zeoKdiN2uoKfPLJJygsLGRPo8l/bNJ7oMzMTMybNw+xsbFImzwYCcMT4evvq7cbyj+qQOEf+Shhri/f/u9bM8jV0iK3JLdHKH5BP3/+fIyfPAGDpw1BdFrXU5rW4CDpMXi5sTbmKBTi5Y8G5uZTz/548LJjznYT4sctN9Whjo0h2hCGCDaGnqK3gJC7wkFcF2OzEfz99McvW8zuPPv37+9JLuHtU6ZMwalzTkX6cYORzj73lvD19kWwXzD8dZSDK9pfgJ2/7cCm9RvNZcZqa2st3dn1ysugjR07FnPnzkPyyGlIGjcHPgb95ensOjjtRAqQAqSAExQgQMgJItMhzArc9fY+lNfJy9zOGhUFXmaMQluBBz44gPzyZu2NitZ/XzEcCRH03ygKWTx29aedlXhzpdp5x5kg2Qe/l+DrLeWyOQhkLjpvKFx0ZAmKFX4O/FykERliMP/uUNMod2OdOzYaV80Uh2WkfTp6+XlWFm0jK48mjfTYQDx5sdw9Sats2NShEbj9tGMPTVj6uHXJHtSyslnSOH18DC4/MUnaZHP5xsW70dgid34+k4GalwxAUJPrz+dBGRzg4SBPb+Nt5mz1A3O4kgZ/b750jXWnH2muteX/fpOPTQfl752enImWrTmM77bJy5JR6UlrClN7bxRQ3hDQ2xcBQnoV85x8AoT0zTUBQvr0Es0mQEhUKfE8AoTEtRLNJEBIVCl9eQQI6dNLJJsAIRGV3C9HeT1AgJD7zaFDRtxYUYCiLd+gtb7CIS5CgYGBOP3005GVlYWQyBAMnTkCYfHhYPfnKexU4MDq/Ti8twiff/459uzZY2cv6t1OO+00TJw4EVmzRiFuWAICrTgHqffsagn0MsCXsWSdne0oN9bJQKFBzE0o3DfQ2q662y0QkNaOHA4KZPBJqn+MUNmx3gBC7gwHce2a65rNgNCGH9aZy4txINBRMWHCBJxyyikYevxwpE/JlH3m9boINdQ0IHvTXmxft83sIMQdznoTcXFxZsesCVNmIC7rBERljO9Nd7QvKUAKkAIupwABQi43JQN2QA8y2CVPAbtMGRKOO09PG7Dn3NsTu5KVZVO6pAyKCUBBhRr6f/j8TAxL7L0rRm/HTPu7hgLWytMtu20sFBWi+2zA/9tajvfXlqj6f5uVw/MVHIQWaJPGQBv+ueAlpKQxfVgEFs5TgzXSHGctP/n5IewpapAdbnRqCO4/59jDEHzjE58dxN7iRlne2EGhuO/sDFkbX7nh9d1oapXDPdbKkal2PtqwcOkeKMGqeeNicOVJ4pCRtb5drf3nXZVY+qsaknv1+pEIDez9Q2haZeT0AnBamj3zVS525NfLNo1IDsb/nZspa5Ou9NVYpMegZVKAK6C8IaBXFQKE9CrmOfkECOmbawKE9Oklmk2AkKhS4nkECIlrJZpJgJCoUvryCBDSp5dINgFCIiq5X47yeoAAIfebQ4eMuLO9DUV/fIfaoj1oqKvBmjVrsH37djQ3iz3lKh2Et7c3pk+fjuOPPx4hISFInZCGxJHJMAQYpGm0rEOBjvYOZK/ah4N/HMCKFSuQk5OjY2/bqdOmTQP/GztnAtJHZyA0IFRVVsx2D0CcTwjCvf1RwyCd5o7WblDI4iYUYwh3CCh0sPkIjrRql2aI9gsThoP4+dgDCHEwyNhuhNk9qUP+xGdPGrnSdjMgtDUP648CQo4oV2c5v25AaCoDhJiDEHftsYReQKiT3SwozinEnnW7sHv7brPbUV5enqU7Xa/8u2jSpEk4fuo0JA6bxMqLzYIhKFRXH5RMCpACpICrK0CAkKvP0MAZ31NfHMLuQvkN81EpIXjgT/Ib5gPnjHt3JsVVLbh3ebaqE34z//vtcqcInvTn+emYODhMlU8NnqnAR+uO4MvNZbKTDzB4Y8nNo2Vtfbmyck8VFv+sLnG96NoRiAgWu85//NOD2HdYDtCMYQBNG7vWVYI1YwaF4G9nu8b3ibYzUDhzBpIDkf9ZkYcth+Sl2jPjg/DYhUNUU3M1Kw9mUpQH01tWTcvJbfboKFw3K0V1PHdv+IK9/z9mnwNlvHv7WBy72lRuFV//ivXPwRxlLGf99ya03vPj00Px1wVqaMxynC82sXNdLx8L+4kNyxb2biyW/umVFLAooLwhYGkXfSVASFQpz8sjQEjfnBMgpE8v0WwChESVEs8jQEhcK9FMAoREldKXR4CQPr1EsgkQElHJ/XKU1wMECLnfHDpsxE1Vh1G89Vs01x5BRXk5Nm/ejJ07d6Kpqat0lMiB/Pz8wAGBqVOnIjw8HFGsZFX6pAwERdITsCL6WctpM7aBOwjtXr8T33//PfLz862l6m4fP348ZsyYgalnTMeQccPMTxHp7cQCCFn2q2WgUJMCFHKEm5A1QEgvHMTHqRcQcnfXIMvc8FdjU6vZQWjLz5vN0M2BAwekm3u1zEuMcQehjEmZshJjvFO9gBDfp6WxGQe352D/5r3Yv28/1q1bh4KCAr5JODgcNGbMGDMglDpsHOJHzkRIXLrw/pRICpACpIC7KECAkLvMlPuP8wVW6mWDouQOdwJ5SlFyx/3P1DFnsCGnBi98q/7vl7vnp+G5Fer/rr/hlBScPDLKMQenXtxegbdXs/JH2xXlj4J98dK1I512bhx84QCMMp65dBhSogOUzZrr97y7HyXVrbJtJwyPgJGBMsoyTOlxrITXRfISXrIdnbhy+5t7UdVgkh3x1DHRuOZkeQm0134qxOq98odZeKlAXjJQGZe9uEPZhIunJ2DBxDhVu7WGvy5nDsNVcj1PHBGJm09NtbaL27a/y8pufasouxUa6INXrx/lkHP6YUcF3l51WNUXL6HHnYTsjf/78AByy+QP3fXktvfttnK8u0bDretW5tbl4wgcyt6zof0GmgLKGwJ6z48AIb2KeU4+AUL65poAIX16iWYTICSqlHgeAULiWolmEiAkqpS+PAKE9Oklkk2AkIhK7pejvB4gQMj95tBxI2ZlomqKduPIrpUwNlajsrISHBz4448/UFFRgY6ODpvHSkhIwOjRo81/YWFhiEiKRMr4QebSYt4+9v+oYvOgHrLRDAitYYDQur4DhE48cyYGjx0Cg7/YE6BS6ZWAkGWbFBTiP2UFsRJgMYYw5iYUZEnR9aoFCNkDB/GD6gGEBhIcxM+dO1IVbsvH3jW7sXr1ajMMyNt7G9wtiLuHzZk3BynjBmHQhHRZl/YAQryD+up65PyRjYM7WDmT3Dxs3brV7KJlNBpl/StX+HhiY2MxduxYc7nDlMxRiGWlxcITh8HLx0eZTuukAClACri9AgQIuf0Uus0JLPm1CL/sqpKNNybUgOevHiFro5UuBT7dUIrPNpaq5Hj9xlG4kZUaUsZFDBTg5YYoSAGuwKs/FmLNPjl4khTpj2cvV4MnfaXYfub88xhzAFIGL5XESyaJxI2Ld6OxRV5W64wJMWgxdbj098k1zO2HQ0zSOGdyHC6YmiBtYlCHGmIJY+WvXmFlsKRhau/E1S/vlDaZl684MQmnjY9RtVtreOCDbOSXy0uzTR0awZyNXKM0m7Vx29P+CvsM/Kb4DCSyz8C/HPQZ4J8v/jlTxkvMIStS0CFLuS9f/yuD4g4roLieIC5r5dT4vxfB/nQNq6UztdmngPKGgN5eCBDSq5jn5BMgpG+uCRDSp5doNgFCokqJ5xEgJK6VaCYBQqJK6csjQEifXiLZBAiJqOR+OcrrAQKE3G8OHTriDlZqjJcZK9u3Fq0NVWhtaTG7dRw5csT8WlpaanYU4rAQv/nOLwg5GJSamoqkpCTzq7+/P3MOikZCVhLCEsLh49vzjxhGYxI6O/xZnyZ4e7ewfWrNyw49OTfurJPp3VViLMdcYsyRji8nnHCC2fFp+vwZyBg1GN4C86WUMtDLgGifIAR6+So3mdctoFCFsc68Pigg1i5ISAsQyghMQJJ/pOZxbTWKAkIDDQ6yaFK8qwh5mw5izao1Zheh9nb5j/WWPD2vEREROPHEEzFj9gyksNKCsYPlN7bsBYTAfo+vr65D3q5DyN+Xh6L8IuTm5pq/kwoLC9HY2IjOzmM/2hsMBsTExCAjIwPp6elISUlFTOowxAydgtA49h43+Ok5LcolBUgBUsBtFCBAyG2myu0H+uHvR/DVFkXJI+aysIS5LVCoFfjvN/kqh5S4cD88d2UWtKGJWFw2I1HdEbV4pALPMeeezarSVYGsdJXzHHaKmVPNvcyxRhl3nZGGyZnhymbVejsrHXzlIjUUw11zmowd4CWepOHPSqgtdWIJNemxpcvGtg5c88ouaZN5+fITE3H6+FhZO4cAOQwoDR9vL7yzcIy0CU2t7bhBAwy8dlYyThkdLcu1tfLwxznIOSJ3e+alCXmJwoEW//wqF9vz62WnNSwxCA+fry7fJksSXNl8qFbTzY1DeBzGszfueGsvKut7dp+S9s9BKA5EKePFa0YgKkT/w1zKfmidFLAooLwhYGkXfSVASFQpz8sjQEjfnBMgpE8v0WwChESVEs8jQEhcK9FMAoREldKXR4CQPr1EsgkQElHJ/XKU1wMECLnfHDp8xBwSajhyEFV529BQno+ONiNaW1vNLkLV1dXmZX4zngNCHAaKjIw0u3Tw8mK+/sGIGxqN2MwYc1kxUeeg1pZ0mEwMJuj0gpe3CT7ejYBXW9e5MesZL7ZsMJSa4SGHn7CbdMhLjJXsL8bnn32O3bvVTxrbexqnn346Jk6ciMnzpiJtRDoT276erLkISXuzgELGjja0dbbrdhNSAkL2ugfxMfUECHEwyNhuhKndhDY23oEW1cXVKNyahz9+34qVK1eiuLi416c4atQozJ49G8MmZyGNlRYMCJGXG7AbEDo6sqa6RpTmHUHxwSIcyS9BeVm5+XupubkZHHDi30ve3t7g30XcxSw+Ph5R8SkISxyK8OQRCIpKYs5B2hBbr0+eOiAFSAFSwAUUIEDIBSbBQ4bwv63leH+tugQKvxHOb4hTyBXQKq1kuZH/l2X7caRGUSYoi5UJmjPwygTJVaE1UQWe+uIQdhc2yNJHp4bg/nMGy9r6cqWuuQ23vLFHdYjrZqdg9qgoVbuyobrRhNuW7lU240ZWTq+RATPLf1N/n7x5y2j4+favEzEvLcZLjCmDfz5PZJ9TaXy/vQLvrFaXqVrCQKcABjxZorapDbcuUWt5EysNdhIrESYaT3x2EHuL2e8mkhibFor7zsqQtAyMxYc+OoBDpfJSXZbvUEec4S72+foH+5wp47ELhyAzPkjZLLx+E3PNalC4Zs0/LhaXnmAdAOXl9jhUqgxeqo6XrKMgBRylgPKGgN5+CRDSq5jn5BMgpG+uCRDSp5doNgFCokqJ5xEgJK6VaCYBQqJK6csjQEifXiLZBAiJqOR+OcrrAQKE3G8O+2bEzIyjufowGquKUc9goabKIrSb5PbV0gP7hUSyG/BZCAiLQ9zgBgYG6AMqOjoC0dI0nN3kD5V2e3SZw0gdzFWomt38N8LgV8Je5U/Kaew04JqKdhSiZHcRvl/xvbkkVFNT7zUIDQ3FGWecgeOmTMS4meORkJFkt24igJClc3tBISkg1Bs4iI/DFiA0UF2DLPrzV1OrCUXbC3BoUw7WrVuH9evXo6eSXdL9lcscFJwxYwamTJvCSgumIWlUshkilOb1FhDiffFye3WVtagurUJNeY35lYNDJqPJDAhxxzK/gCD4s++iwMgU9pfA/hLhF9Tzk83SsdIyKUAKkALuqAABQu44a+455l93V+GNX4pUg3/5upEIDyIYVyqMtXJCZ0+Kw4XTEvDoJznILpH/d/04dpP/3gF4k1+qCy2LK6AFR3DXHu7e46xgBkC44qUdqsOJlsPLL2/GAx8cUO1/z4J01De347WfXNMxpaCiGfe/rz3uCelhsvOx5vzyAnN+iZY4v1TUG3HnW/tk+/KV21hpsGmsRJhoPMNcdXYoXHV4uTde9m2gxV3v7EN5rby89Mkjo3ADA8wcEQdLm/D3j3JUXT3wp8EYlRKiahdt0CpP96cp8Tj/+HirXXCnJO6YpIynLh6KtNhAZTOtkwJ2K6C8IaC3IwKE9CrmOfkECOmbawKE9Oklmk2AkKhS4nkECIlrJZpJgJCoUvryCBDSp5dINgFCIiq5X47yeoAAIfebwz4dcSdzE2quLUNrfQXaWpvMf+1GDgoxpw6DPwzMMcjb1wDfgFAER6cwB6EgBIXuhI9Pre5xNTWORntb1xNzHAjy8mqFr6GCwUCtzF0ohjkZhbGjerG2KtbWchQUkj9FpvugOndobw9nDkct8GZjc3Y0VjUgdz17SnDLHvzwww/Iz1c/VaZ3TBMmTDBDHcedNAnDJg5HcLj9P37pAYQs45SCQhG+wT2WHbMAQr2Fg/jxrQFCrW2taDQ1DkjXIIvulteaw9UoYC5COTsOYPXq1di7d6+sVJclr6dX/g/J+PHjMW3aNGSMy0TaxHQEhquftPT19kWwXzD8fXr/5GNHWzua6pvQUNOA+oZ6VpqgCX7efuzp3ADmThWOVq8U+AXHwseffkTtaf5oOylACgwcBQgQGjhz6epnYs3hoLflWFz9vO0ZX25ZM/7vQzVgsHDeIEwfFoH/sPJRWxTlowbHB+JxJ5aPsue8aB/nKaDlQMWdZrjjjDPjRlYWi7v9SGP+BOaGIlAOb2dBPZ7+Ug09cIcW7k70r6/zpN2al5+6hAERMf373/J7ihrw5OdqZ5lHWGmroazElTS25tbh3//LkzaZl5++dBhSo485q5ZUt4LPqTLunp+GSYPFH2rQ+u4YkhCERy9wTNkt5fj6c/3613ahmZWik8aCibG4eLp1Jx5pbk/L1kro6Z0T6XF4BezLNaA6XlZvwcQ4aapsed/hRjz+6UFZG195+PxMDEsMVrVTAylgrwLKGwJ6+yFASK9inpNPgJC+uSZASJ9eotkECIkqJZ5HgJC4VqKZBAiJKqUvjwAhfXqJZBMgJKKS++UorwcIEHK/OXTaiDtZCZ92Uys6WNklRhGYwSAfdjPei930l5alCgrZYRcg1NYWhc6Oo+CAGRBqY/3UMVDIxJyFwtDanMleLQBL51FQqJmBQkcYMCQGCpmM7EktVvXAl7kReXnJn0Dj7kUdHUFsDAZ2evzvmA34MZG92e6d5v9xcKkLYLLurHRsv94vdbLHNvM2H0LJnmKsWbUGGzduRH19vd0dR0dH45RTTsGYcWMw/uTjkDw0FaIl4ZQHDfVmpea8A+Hv5aPcJLTOQSFftm9TRyv8vHytgkIcEDKx0mSp/jEI7gVkUt9hRHVHM1o75U5XngQH8YlpN7Wj7MARcHeqnL0HsHbtWuTk5LDPgfzHV1uTGBgYiJEjR2LKlCkYPDITqRMGIWpQjNVdHOEiJO2cl4BrMPGSC14IMQTD4GNAXWMEKmrjzEChNJeWSQFSgBQY6AoQIDTQZ9h1zk/PTXPXGXX/jGT13mpNd5R/XDIMg2ICsJg5Ma1kjkzSiA3zw3+vypI20bIHK7Bw6R7UNMqvW+aNi8GVJ9nv/mqPnH9etg+lNfJraFFQ6bf91XjlB7VLEH+f85JbD3/sePcWe85Ruc/GnFo8/636wZx/XT4ciZHyhx72M7DjMQ2w46HzMpGVdAzssOZKxF3DuHuYaLz4XQHWH6iRpXOHGe40M5Cirb0TV728U3VKl7AyXWeycl2OCGul5G5hpeRmKErJiR6vxdSB617dpUq/amYS5o61fr1sDSr9GyspOIaVFqQgBRylgPKGgN5+CRDSq5jn5BMgpG+uCRDSp5doNgFCokqJ5xEgJK6VaCYBQqJK6csjQEifXiLZBAiJqOR+OcrrAQKE3G8OXW7E9gJCPZ0IB4hamzPMEM+x3A4G6fDSY00MFCq1Cgq1tUUwd6IItDEnIh4+Pgys8ZL/yNoFB/kzMIgBT50+DC6wAEKdZrciH58mBkO1mrebWpPYOPxZ2bM6858ZFLLhKsTBJJ5v8Cu3OsZj52R9qaGiHrkbDiF/b26340trq343I34hP3XqVHAHodFTx/bKPai3cJD0bC2gkDX4p6ft0r5sLZe3N6Km4xjYxcEgI4OGOGzS1iF/X9jqZyBsa21sRen+EpTsLUb+wXxs27YN+/fvF4LPOGQ2evRojBo1CmnD0pE0OgUxGTHwMVgvLeJoQKjJ1IwGYz0CDYEI9ev6Qb3WDAhZt20fCPNG50AKkAKkgJYCBAhpqUJtfaFAQUULK7uTreqalwtSlt1RJXlYw3trS7Bia7n8rNkDC8sWjmWupMCH647gq81lsu3+Bm8svXm0rI1WPFeBaxlk0MpgA2mcMzkOF0xNkDb1+TKHeHKOyMvhHZcRhr+cmd7jsb/5oxzLfytR5S29ZTSqG0z4yzK1o87trOTWVB0lt1SdO6Dhl12VWPJrsaqnV68fidBA+TVPYWUL/vae+nuR68N1soS1clYPnjsYI5PFAZBXWVm2NQxAlEZSlD+evWy4tMntl6sbTbht6V7Vedx4agpmjohStdvT0Gxsx/Wv7VbtevXMZMwZG61qF2ng4NutS/aoUm9kZdFmsvJo1uJwVSv+ulz9efjz/HRMHHzsfWRtf2onBUQVUN4QEN3PkkeAkEUJelUqQICQUhHb6wQI2dbH3q0ECNmrnPX9CBCyro29WwgQslc52/sRIGRbH3u2igBCLbW7UJG9yJ7uHbpPZPqlCI490aF9DtTOlNcDBAgN1Jl24nn1FSDET4FDQqbWRLOjkBnkOXpeXuhgUAIHhRoZhFMmg3BMxkSYjHHM+SiYQT/iDjfcYagL6Gnq6lsCAHHYqLUl3exoxB2O/PwPs9xSDVeiEAYmsTGz43NnIh/fWjNkxIft5cUKprF9u1yIxByQuE11+cFSFG0vwKG9B7FhwwZkZ2ejuVlsf37ckJAQMxg0ceJEZI4aghHHj0J0UgwbC7tDoTMcCQfpPHR3ermpDgbmOhThK7d4707QWJACQp7mGqQhB1oaWlBxsAxlOaU4nFuMgoIC8x8vY1dTU8Pe58dKCRgMBsTExCAtLc38l5KSgsTBSUgYkYTI1ChWdtCgdYjuNkcCQhb3IP5qAYSMJn9U10ejoUX86dvuwdECKUAKkAJurgABQm4+gW40/Mp6E+54S33DtjduC250+rqG+s+vcrE9X+76ycsN8bJDPKyBE28ycMLP1/LAgq5DUvIAUqCducheuahv3VNE5Xr261xsy5O/l3mZLV5uq6f44PcSfL1FDsoFMBBuCQPheNkyXr5MGdecnIxTx9gHZyj7snedw3sc4lPGu7eNZdfP8lZrLjQ3MxeaEyUuNPuKWQmpz9QlpB5hpcGGshJhorHk1yL8smvgu49ZA1KV4JWoblp57GcWXP7iDtWmi1g5sLNslANT7SBpKK8z4q6390lauhZvY+DbNBvgW0W9EXe+pd7PUpZS1SE1kAJ2KqC8IaC3GwKE9CrmOfkECOmbawKE9Oklmk2AkKhS4nkECIlrJZpJgJCoUvryrjChzQAAQABJREFUCBDSp5dItggg1FS5EUd2PCTSXZ/mxAy/A2FJ8/v0GAOlc+X1AAFCA2Vm+/E8+hIQ4qfVVQos0Ozyw9fbTFHdwJCXVzuDcGrgw0Ah7gDEy4RxQKejI4CnCgWHjHwNlazcFit7xYEeRSkySydSSMjbuwUBgQfMAFD39vZwM8zU1hbZ5Upk2dD9ygEhVkaNuRB5HYWPOGTk48PLJVmPNmMbg4TKcHhXEfIP5GHfvn3YtWsXKisr2XH4T1vawQEgDnNwx5esrCxkZA3G0AnDEDsonp2v/OlH7R7kra4AB/ERHWouRYC3H5L8I+UDtLFmAYQIDjomkrHZiLojtajMK0dVYSUqyypRVlaGhoYGMyDE31ve3t7sM+GLsLAwxMXFITohhpUTi0Z0egxCY8MYSNczgOcoQEgKBxl8/LrLi9U3haGyLg7tHT2P5djZ0xIpQAqQAgNDAQKEBsY8usNZWCudcgUreXQaK31EcUwBDlJxoEoa04ZF4LZ5g8xNa/ZV49Uf1aWXnr96BGJCbYPX0j5peWAq0NDSjpsWq+GZa2cl45TRzoVnXmHv09/Y+1UavMwWL7fVU7z+cxFW7ZHDLHHhfnjuyq5Sele8tAOMhZLF+VPj8afJ8bI2Z69oOYAF+/vg9RtHqYbCXZ6425MylN+LOwrq8cyXuco0PMlKg6WzEmGi8c7qw/h+e4UsPSLYF4uuHSlrc/eV3UUNeOrzQ6rT4GAaB9QcFde9tgstRrlT19mT4nDhNPucuoqqWnDf8p4dpZTjr29uw81vqJ2Hrp+dglmjrDsPKfuhdVKgJwWUNwR6ylduJ0BIqQitWxQgQMiihNgrAUJiOunNIkBIr2I95xMg1LNGejMIENKrmFg+AUJiOunJIkBIj1ruk6u8HiBAyH3mzmVH6udfzBx1iqyCNY4eeBcwxH4YYjAQDw4MdXQEs3X2SJ9XBxuHiUE43F3IqDo037e9LZSBNf4MkiljcE4jc/hpMZcg4/BOTyGFhHwZmOQXkGvuo9vpqC3cpmuRF9oZiMSOZx4ff62RuR9ZO76pxWSGOI7sOYzSgiMoKixCcXExioqKzFAHdxSyAB3BwcFITExEcnIyUlNT2WsSBrFyUOmjByM6OYY5H+m/8eAqcBDXx56yYxwQKjXWotHU6HElxay9p3h7J/tVvqm2CQ3l9WisajC/ttQ1o63VxD5TDBDy8YYhwICgyGCExIQiOJq/hiEgVBzAcwQgJIWD+LgDDUGsvFiXHT+VF+OKUJACpICnKkCAkKfOfP+c91Uv70Rbu/yO/rlT4nHe8f17Q79/1NA+qjVnFF4aipeI4sHdhbjLkDKeuGgoMuLEYQHl/rQ+MBSw5kLSH24i7645jG+3yYGU0EAfvHq9GpZRqv+v/+Xhj9w6WfMQ5pbzKHPN4XELK8VUx0oySYPDhhyu6c94/edCBjbJoah4Bjb95yjYpBzblex7sV3xvci/E/l3oyW2MB3+w/RQxrMMtEpiwJVovM9cmf6ncGUKDmDw0g09z4foMVwhb8OBGrzwXYFqKP++YjgSIsT1UnWgaLht6R5UN8rfg3PHReOqk5IVmWKr1krJPfCnwRiVYr2UnLGtA9e8ogbNrmSfhXkE4IqJT1lCCihvCAjtJEkiQEgiBi3KFCBASCZHjysECPUokV0JBAjZJZvNnQgQsimPXRsJELJLth53IkCoR4l0JxAgpFsyt9hBeT1AgJBbTJtrDtKblczy9m6Ar98RswMPB3P6I7qBIXZwDuBw0MebufJoAT8dHYEMfAhkME1X+S9vrxbdQ1ZCQt4+9exHwXB0cPCIuRgdiw6mTwvTpsr82tXOACYGLnHXIL16tbe1o760DlUFlahmji/VZdUoLy9HbW0tWltbuwEh/iGPiooyl4VKSU5E5uA0hGfEwi8yCN6++l1WXAkOOqat+FKFqR6lplo0tDHwpUP+A6B4LwM7k8NlpmaTGRYyNray93I7ey/zsnheZpeggJAABIQH9lhOTEul3gJCSjiIH4MAIS2lqY0UIAU8UQEChDxx1vvvnG9lN/RrFTf0+c1LfhOTokuBfYdZKaFP1aWE7p6fhkmDw81Jh8qa8NCHOSrJ7js7A2MHUclUlTAe1mCtvNI9C9IxIT3MqWp8sakMH69Xl9tafvvYHsfx949ywIEJaRyXEQZeJorHvcv3o7iq1bxs+b8Thkfg1rldTluWNme//mdFHrYckoNNmfGBeOzCoZpD0QSdxjPQ6cRj34vrGfDyogbw8t+rshAb5qfZr1bjJxtK8fnGUtkmP18vvHnLGFmbu6/8tLMSb64sVp3GawyECmFAlKPinnf3o6Ra/h48cUQkbj411a5D7CluwJOfqZ2POBTH4ThbcZmDy53ZOhZt81wFlDcE9CpBgJBexTwnnwAhfXNNgJA+vUSzCRASVUo8jwAhca1EMwkQElVKXx4BQvr0EskmQEhEJffLUV4PECDkfnPYryP2ZiY9qaHNCPJlTjhsucRUDKNXpRnM6deBOfngUkjIi7kWMTqHgT8mMyjFoaCu4DAQczNiAJFeGMjW6bQygIM7vnDnl6bqRjTXNDG4w9jt+OIf7G92fAkMD0JWYhriE+PR4t8JY2e7rW41t7kqHMShH18vH0T42v6hjecVtlSgqd0yJ5qnSY19qICvty+C/YLh76P/aU8tOIgP1QIItZoCUF0fjcYW609k9uGpUdekAClACvS7AgQI9fsUeNQAXPWGvitNgrUb21LnC2sOMbfMTcWM4eIldF3pvGksjlNgP4PMHtOAzB46LxNZScw114nx865KLP3VPlDjrrf3gb/XpXHyyCjccEqKuYmfIz9XaYxNC8V9Z2VIm5y+rDWucWxc91oZlwhkYq2s4KJrRyAiWNzd98vNZfhonRzYYs9z4N3bega2nC5kLw74+aZSfLJeDkL1xXk+9NEBHCptlo10cmY47jojTdYmurItrw7Pfp2nSn/60mFIjbbtwMtL1fGSddLgrnPcfY6CFHCUAsobAnr7JUBIr2Kek0+AkL65JkBIn16i2QQIiSolnkeAkLhWopkECIkqpS+PACF9eolkEyAkopL75SivBwgQcr857JcRs9+dMCisGSEMDIoNMiLAp+vHi50NBahrk/+w1y8D7IeDckiIuxF1BQOEzKXNOAwk/yG0r4bGHYVaG1rZXwvajG3mclG8JJSvvy8rARUIvyA/RAawp5DZr2nePgYYvMV/fORjdlU4iI/tUHMpArz9kORv/SYKwUFcKdcIe12Emkys/JmxwXwSBh8/BPh2QUa+Xr4wsPd0fVM4Kmrj0HG03KBrnC2NghQgBUgB5ylAgJDztKYjAY9+koPsErkjyPj0UPx1Qf/e0HeluXlrVTF+3FEpG5K/wRtLbx7d3cZvAvObwcq4nDmOnM6cRyg8W4FtefUMMlCXoHvqkqFIi7FcezpHow05rNTTt+pST/9ipZ4Seyj1pAU8nDUpDhdN6wIenmNOPZsVTj2DmVPP41acepxzxvqdjf7+MXNKOiL/Xpw4OAx/np/ePeRfdldhyS9F3euWhddvHIVgf3FHnG+2lWP5mhLL7t2vb986Br4+/BebgRHvrD6M77dXyE4mLMgXr1w3UtbW25WnPj+E3UVd15qWvkanhuD+cwZbVnW9bsipZZ+XfNU+vDwdL1NnK255g5Xca5a7HZ8xIQaXzTjmRGVrf9pGCogooLwhILKPNIcAIakatCxVgAAhqRo9LxMg1LNG9mQQIGSParb3IUDItj72bCVAyB7Vet6HAKGeNdKbQYCQXsXcI195PUCAkHvMW7+PMo3BQRnszwIGWQbkyYCQRQN3ePVjcAV3cRGFhFwZDuJ62wKEOBhUy6C1OlZSjJyDXOPdaS8gxEvCmTq6ShdaoCDpGdU2RjBAKF7aRMukAClACniUAgQIedR09/vJ/ut/efgjV156h5dN4eVTKLoUeOKzg9hbLH94IjM+iJUnkmukBU+czeCJC4/CE6Sn5yqwjpWjekmjHNVzrBxVnI5yVI5QkMMTHKJQxiPsMz/URsmkFgbBXacJwSUyCC7W3N1iBsysZOCMNHi5LV52qz9DbynFZ77KxY78etmQs5KD8dC5md1tHHbh0Isy3rxlNPx8pSXKlRny9R9Z6a23NEpvvXHTaAT6ifcj79X11hb9UIDf99fIBpYc5Y9/XjZc1tbbFc1ycux9/Zid/6at3luN134qVA1rEQObIhjgZCvufHsvKuq6rnsteaeMjsa1s5Itq/RKCvRaAeUNAb0dEiCkVzHPySdASN9cEyCkTy/RbAKERJUSzyNASFwr0UwChESV0pdHgJA+vUSyCRASUcn9cpTXAwQIud8cOn3EaaykWEa4Gg7iAyFAyOnTYfcBRSEhV4eDuADWACFyDbL77dGnO9oLCPU0KAKEelKItpMCpMBAV4AAoYE+w651fq/+WAheKkcaiZH++Nfljr1pK+3f3ZZvfmM36pvlZX1njozEjaekyk7lzrfYzeB6+c3gWaOicP3srvJLsmRa8SgFrLnNvHrDKIQGiLvNOEK0gooW3P9+tqqrv5yZjuMywlTtloYyVlrsblZiTBm3zh2EE4ZHmJs/+L0EX28pl6VwyIXDLv0ZVy7aifaOTtkQzjs+HudO0X4o4aXvC7AuWw6zpMYE4OlLhnX38b+t5Xh/rdr5h5cG46WzRGPlnios/lntRPTK9SMRFmgbQBE9hivkPfMlg64KFNAVK6/Hy+w5Ml5h/6b9pvg3rTcgUm8ALq0SnjOyInHLHPm/HY48f+rL8xRQ3hDQqwABQnoV85x8AoT0zTUBQvr0Es0mQEhUKfE8AoTEtRLNJEBIVCl9eQQI6dNLJJsAIRGV3C9HeT1AgJD7zaHTRzwlvhZRAfIfsC2DIEDIooR7vPYECXE4KMqblSfzcu6Pz3rVq21rQg1zCQr3DUaEb5B5d4KD9KrovHwChJynNR2JFCAFPEsBAoQ8a777+2yXrTmM77Ypyr6wm9L85jQFUNVgwu1v7lVJcdmMRJwxocs1xbLx/z48gNyyZsuq+XVSZhjuPiNd1kYrnqfAij/K8d5vapjk7YWsjJS3DprEAdJZe0/fdGoqThphvdRzDiu59TArvaWMv52TgTGprAQ2C2vQTH+Wy2o2duD619Tl/66amYS5Y7XL/y1ljj4/M2cfaUSHGvDC1SO6mz7fVIpP1pd2r/MFXhKMn6ue+J2BSIsYkKQMfix+zIESzvp+fJPN3U+KuYsKMeDFa47NnR5NVzAQ7D0NEGwZ++x69/DZfeijAzhUKv83YfKQcNx1epqeIVAuKWBTAeUNAZvJGhsJENIQhZrMChAgpO+NQICQPr1EswkQElVKPI8AIXGtRDMJEBJVSl8eAUL69BLJJkBIRCX3y1FeDxAg5H5z6NQR23IP4gMhQMip0+GQg4X5hyHAN0DVl7vAQZaBd7kIGZDkHwWCgyyquOZrXwBCpjYDahqiUdcU7ponTaMiBUgBUsAJChAg5ASR6RDdCny+kd3k3iC/ye3NqtosWzi2O8eTF7jjBXe+UMZ9Z2dg7KAuKMKy7Z+sLNF2RVmi4cwh4+8OdsiwHI9e3UcB/hnjnzVp+Pl64c1b9MEk0v3tXTa2deCaV9TAjBb0Jj3GVlaK8N+sJKEynrpkKNJiAs3Nq5gbzusabjgvXTsCkcH9A7uUM+ejuzScjxYy56PpR52PlOf04boj+Gpzmaw5gDkhLZE4IX3Ecr5U5NjjlrTpYC3++02+7Fh85d9XDEdChL+q3V0bnOWwpuViFeTvjcU32udi9Rn73H6q+DdSFAR7nJWn3KcoTzkuLRT3npXhrtNI43ZBBZQ3BPQOkQAhvYp5Tj4BQvrmmgAhfXqJZhMgJKqUeB4BQuJaiWYSICSqlL48AoT06SWSTYCQiErul6O8HiBAyP3m0Gkj9vPuwHFxdYjwb7N6TAKErErjchs4FGTwMcDP2w8+3nKHIHeDg7i4HBBqaG9BsI8/6tqa0cSWKZyvAHel8vc99oO0sd2I1rZW2UD6AhBqaglGVX0sWk3Hji07KK2QAqQAKeABChAg5AGT7EKn+MOOCry96rBqRG/cNAqBfvL/tlQleUDDN8z5ZbmG84sW8KBV2obKtXnAm0TgFLWcusKDfPHydf3j1HXtq7vYf293yEZ+1qQ4XDQtQdYmXbFWCmsRg38ijsI/1iCipy8dhtRo9cMs0v77apm7enH3GmVwSIPDGlphzQnpHeYa43PUNYZ/L/DvB2nwkmB63de25dXh2a/zpN2Yl/tTM9VgHNBgz3vOnsNyaIvDW9LgJd946Td7gpeR4+8HaQSzsoCvs/KAPYUWNJqVzMqqnSteVq2zow1tLaXw8vaFb4B2SbyexkHbB7YCyhsCes+WACG9inlOPgFC+uaaACF9eolmEyAkqpR4HgFC4lqJZhIgJKqUvjwChPTpJZJNgJCISu6Xo7weIEDI/ebQaSP29+nAhFgChJwmeB8eiMNBwYZgTTAowMsXQV4MHHLxsmJKeTggVNJapWymdScroIR/2tgPk6YOeUlCX/Ye43CaI6O+KQyVdXFo76Abko7UlfoiBUgB91KAACH3mi93H+3v+1l5mx/U5W3+e1UWYsP83P30ej3+138uxKo91bJ+QgN98Or16pvD7/52GN/+IS/XFsJuJL8mcCNZdgBaGXAKaL2PEiL8mEtMVr+c6x1v7UVlvfy/7WePjsJ1s1Ksjoc76nBnHWVISy1llzTi0U8OKlPw4LmDMTI5RNXujIadzAXsaQ0XsMcuHILM+K6y1spx/LK7Ekt+KVY2s8/9SIQyCIjHW6uK8eOOSlmOsgyZbKOVld1FDXjq80OqrY9fNASD47THp0p28QZ7XavsOa3vt1fgndVq6HXJzaMRYGD2eDpDa55FS5Y9/20+NubUyo6YEReIJy4aKmtTrjRVrENNwUdmMKittes9Fpa8ADHDblOm0jopAOUNAb2SECCkVzHPySdASN9cEyCkTy/RbAKERJUSzyNASFwr0UwChESV0pdHgJA+vUSyCRASUcn9cpTXAwQIud8cOm3EPl6dmBhfhyh/+Q+C0gGQg5BUDddbHmiuQVKFCRCSqtF/y77sCcVgv2D4MycnZ0ZdYwQqauPQCfaYJwUpQAqQAh6qAAFCHjrx/XTavCQWdzlQxpMXD0V6bFfZIOU2T1r/+0cHcLC0WXbKI5gDxP9pOEBoOVfwHZcx54qjpiOyfmjFcxSwFxToK4Ue/OAA8srl7+vJQ8Jx1+lpVg/57hoGwG2zDcCVVLfinnf3q/q4k/U7hfXfH7HuQA1e+k4NQf7nyizEh2tDkBtyavDCt+p9pGW/FrNSatxVSRr2QF/WoCpempCXKBwIUdlgwh1v7lWdys1zUnFiVqSqvTcNq/dW47WfClVdLLp2JHO66oK7VBttNGjBfaLOcNxVbmN2KSIM1YjwY3+GKnT6p+Cu88+0cUSgoexXlO1+WpYj8mO+bAda8RgFlDcE9J44AUJ6FfOcfAKE9M01AUL69BLNJkBIVCnxPAKExLUSzSRASFQpfXkECOnTSyRb5JqiqXIjjux4SKS7Ps2JGX4HwpLm9+kxBkrnyusBAoQGysz20XlMia9FVAABQn0kb591awsM4gd1x5JiSrEIEFIq0n/rShchZ4yk1gwIkXW6M7SmY5ACpIDrKkCAkOvOzUAcWc6RJjz8cY7q1O4/ZzBGp/aP44dqMP3YoFUWZ87YaFw9M1k1ql93V+GNX4pU7byMFC8nReG5Cjz95SHsLGiQCTAyJQQP/mmwrM1ZK//44hB2FcrHYw18s4zpZeY0tpY5jkkjKcofz142vLupvqUNNy/e071uWbh2VjJOGR1tWXXq6487K/HWSrUb0Os3jkKwv7Zr6c5C5jr0hRqclLoOaenBy6jx0mB6wloJtIH0HZzPYLQHGJSmjHsWpGNCepiyuVfrmw7W4r/f5Kv6+Nflw8HBHr3x4nf5WH9A7gKUxuDZpxhEq4yWmh1orNzQ5fzDyoLV15XAD/WytJ0N03H2godlbcqVlto9OLz1blmzX0g6Uia/JmujFVKAK6C8IaBXFQKE9CrmOfkECOmbawKE9Oklmk2AkKhS4nkECIlrJZpJgJCoUvryCBDSp5dINgFCIiq5X47yeoAAIfebQ6eOmAAhp8rd64PF+oUj1CcQLcz9qY39acVAgIP4edW2NaGgpRx17JWifxXoDxchAoT6d87p6KQAKeAaChAg5Brz4CmjOFLTir8sUzt+3MEcP47vJ8cPV9HemjbXnJyMU8eoYYfNh2rx3Ar1jelnGDCQwsABCs9VgEN4HMaTxsTBYfjz/HRpk9OWX/q+AOuy5bBPT3DLPxjktEsBOWUxN62HFG5al724Q3UeF05LwNmT4lTtzmj4fFMpPllfKjsUd/Tizl7W4lBZMx76UA20/O3sDIwZFGreTcsVanB8IB6/UA2OWDsOby+qbMF972WrUvoCnlEdxEkNHEbjUJoyHr1gCIYkOLaMmjW4i5f14uW99MbzK3aj8HAhmtqDUWvqcsEalhiEh88fouqKlwWrOrhE1S5tyG3Kwinzn5c2qZbbWVmx4i23wzcgnv3FmV8NgckITZynyqUGUkB5Q0CvIgQI6VXM/vyOjg7s2rULa9euRXNzM6ZOnYrJkyfDYDDY32kf7kmAkD5xCRDSp5doNgFCokqJ5xEgJK6VaCYBQqJK6csjQEifXiLZBAiJqOR+OcrrAQKE3G8OnTpiKSBU3dECU2e77PhFzWVobmuRtdFK/yjA4aCUgBgEefvhSHsD6jtaVQMZKHCQ5cTIRciiRP+/OttFiACh/p9zGgEpQAr0vwIECPX/HHjSCOqbmePHG2rHj+uY48fsfnL8cBX9rQE/1kr/7C9pxGOfHFQN/8FzB2NkMrkxqYTxoIZ7l+9HcZX8Om4GK610Cyux1B/x1qpi/LijUnZoXn6Jl2GyFve/n42CCvlvBLxsGC8fJo2b39iN+mb57wunj4/B5ScmSdOctryMlUb7TlEaLSzQF69cb/1cS2tb8ed31ODk7acNwtShEeaxP/t1Lrblyd1heEkw/v2gJ0prjexY+1S79GdZNtVgetnAYTQOpSnDVpk3Za7oujVXPO7WxV27tMLUfBjGhkNHnX/KzK8m5gDU1lqGDlOX09ZPpadhVfkp5t3HDArB385Wu381lK1ipcGe0jpEd1uFMQ5T5i3rXqcFUqC3CihvCOjtjwAhvYrZl28ymXD11Vfjiy++gI+PDzo7O8GBoVmzZuGjjz4CnwdXCwKE9M0IAUL69BLNJkBIVCnxPAKExLUSzSRASFQpfXkECOnTSySbACERldwvR3k9QICQ+82hU0csBYSK2urQ3CkvN1bTUgNju9GpY6KDyRWwuAaFG4LNcFAdA4OqO5phVMBcAw0O4ioQICR/L/TnmqNdhPj3Cv8hxN9Xbe9ubPNDdX00GpodazPfn/rRsUkBUoAUsEcBAoTsUY32sVeBDmZOecVLasePi6Yn4KyJ/eP4Ye+5OHq/LzaV4eP1R1TdWitNVFLdinveVUMF5MakktDjGm57cy+qG+TX3NZK1TlDnE82lOLzjXJXHV8fL7x96xirh1+4dA9qGttk2+cwJ62rmaOWNPhngH8WpNGfMNQrPxbit33V0uEgiZWaepaVnLIWDS3tuGnxbtVmaam0p5gjzm5FmTZelpGXBtMTVex9cTt7fyjj1rmpOGF4pLLZLdd/2FGBt1cdVo19MSvzFmSlzJsqWbChuKoF9y4/5sjk49WO9k4f/PnMdEzM0L7OrDiwCHVFX9k8wubq4/Fl8fnmnEnM/evu+emq/Na6fcz5506AOVT5+sczd+RIZFcEo8YUiRoj+2Ov1cYovHTTLNW+1EAK2KuA8oaA3n4IENKrmH35HA76+OOP8dBDD+Gmm24yw0HPPPMMFi1ahHPOOQfLly+3r+M+3IsAIX3iEiCkTy/RbAKERJUSzyNASFwr0UwChESV0pdHgJA+vUSyCRASUcn9cpTXAwQIud8cOnXEySGtGBLeiEDfDhAg5FTpezwYB4NCWDmxiKNgkGUHLfeggQgHVZjqUdhSwSy85U+nWnSgV+cr0FsXIVO7CS1H57Oto80MCAWz97cSEmpsDkVlXSxM7a5pr+x85emIpAAp4KkKECDkqTPff+d9w+u70dQqd/w487hYXHJCYv8NygWOrFWGKTrUgBeuHqE5OmtQgbWSZJqdUOOAVOC613ahxdghO7ezWMmti1jprf6I77dX4J3VamDjjZtGI9DPW3NIVyzawW5oyjedd3w8zp0SL2t89JMcZJfIy6mNTw/FXxdkyPKctaLl9DOUlYh6RKNElGVM1sDJixk4ueAoOPnop+w8D8vPcwIDUO5hIIqesObidsMpKTh5ZJSerlw291MGo33GoDRp+LA6b+8stA6kSXNtLbcbq445/rSUoaG+BLsOHWK/p1Qjwq8KXxefi201k2ALuKop/ARVOYttHQY5DcPwdt4N5pzpwyOwcO4gVX4nu9ZtN1aYS4JxSsja52zpLaPZtbD250zVKTWQAj0ooLwh0EO6ajMBQipJHN6Qm5uLMWPG4MILL8TSpUu7++cOQvPmzcP69euRnZ2NxETX+u9uAoS6p0pogQAhIZl0JxEgpFuyHncgQKhHiXQnECCkWzKhHQgQEpJJVxIBQrrkcptk5fUAAUJuM3X9M1Bfr05MjK9FpH8bAUL9MwWaR5WWE1MmKAEhgoOUCtF6Xylgj4sQdwpqbe96cphDQRwSkoa5TwUkVNcUjsraOHR00o+lUq1omRQgBTxPAQKEPG/O+/uM72LlbcpZmRtpnDwqCjfMTpE2edzyfe9lo6hSDq2PSwvFvWdZBx24GxOHC6ShBVFIt9PywFaAvx0uf9G1XLrW7q/Byz8UqIT/71VZiA3zU7Xrgd/+/b88bM2tk/WRmRCExy4YImtz1srDH+eAl52ShgjIcz2DupoVUNeCibG4eHrXDdz/+/AAcsuapd1Cq+SaLEFjpcXUgete3aXactXMJMwdG6Nqd8eGt1lJux90lrQTOc/S3U+isWy1zdSfy+ZiZdkc2AI1G8vXoHTXE939eHn7miEf34A4bC70x5HGcBxpScS+ulHmnFns38frBf59XLmnCot/Luru17LwKitvF8rK3FGQAo5QQHlDQG+fBAjpVUx//mOPPQbuFvTNN99g5syZsg7eeOMN3HnnnXjyySdx1113ybb19woBQvpmgAAhfXqJZhMgJKqUeB4BQuJaiWYSICSqlL48AoT06SWSTYCQiErul6O8HiBAyP3m0KkjZo7HmMwAoagAEwFCTlXe+sFswUHK8mIEB1nXkbb0jQIiLkI9QUHKkQUaghDqF9LdXNsYgYpa+RPI3RtpgRQgBUgBD1KAACEPmmwXOVWtG92TM8Nx1xlpLjJC5w/DmoNIT85Kty7Zg9omeRmmuWOjcdVMeRkm558RHbG/FGgytuOG19TlqnhpLl6iqz9iR349nvkqV3XoJy4aioy4QFX7YVYy7K8a5fPuPD3NDMVId3j950Ks2iMv6RUf7of/XJklTXPa8l+W7ceRmq4HFywHPXFEJG4+NdWyqvl651t7UVEvf8hh9ugoXDerC5zUAgjtKaXWzr5srly0UzWGy2Yk4owJsap2d2zQcmNLjQ7A05cOY+4/ZWhrZX8tpTCxP/7K/6IyroZ/mO33TGXOK6gt/MKmJFuqJ+OL4gtxMXPEW8Cc8bSCuxA1V29nUFBcFxjkfwzM0vpOP218DK44MUmrK1nb79k1WPS9GsR7/uosxISqQTzZzrRCCggqoLwhILhbdxoBQt1S9NnCrFmzsHv3bhQXF8NgkDtmHzx4EGPHjsVFF10kcxfqs8Ho6JgAIR1isVQChPTpJZpNgJCoUuJ5BAiJayWaSYCQqFL68ggQ0qeXSDYBQiIquV+O8nqAACH3m0Onj3gKAUJO19zWAYcGJSPOL0wzReoe5GpwULmpDn5evgj3DdIcu0gjlRUTUal/c2y5CFnAIC2nIFujVroIESBkSy3aRgqQAp6kAAFCnjTbrnGu//jiEHYVNsgGMzIlGA/+KVPW5kkrBRUtuP/9bNUp3zwnFSdmRaraLQ1/Y65DhQrXoWnDInDbPHU5Gss+9DqwFahsMOGON/eqTvKWuamYMdz6e0m1gwMbDpU14aEPc1Q93nd2BsYOClW17y1uxBOfHVS1P3ReJrKSgmXt760twYqt5bK2IH8fLL6xy31FtsEJKzct3g3ugCSN0yfE4PIZtgEP/vnn3wPSmDo0HLef1gVO/nnZPpTWyJ3XRJ1lpH3yZa3ybRey8nNnszJ0AyGU/8aclfQpRkTksNLqVUCnom7d0ROOHfEXhCbMtXn6tUWfofLAa6ocU6cfqo2RqDFFIqd+GNZVnohzJsfhgqn6S/pplQfk88Lnp6fYcqgO/1mRp0r752XDkRzlr2qnBlLAHgWUNwT09kGAkF7F9OePGDHCDAbt2KF2E2xubkZMTAxOPvlkrFixQn/nfbgHAUL6xCVASJ9eotkECIkqJZ5HgJC4VqKZBAiJKqUvjwAhfXqJZBMgJKKS++UorwcIEHK/OXT6iAkQcrrkNg+oBQiVGWtR396M5k4TjJ1dP2oGeRmQ7B+FUB/1k502D9BHG3OajyDYxx+Jfvp/3OZgUG1bI+ramtB0tBxVHw2TunWAAlIXIQsUxLvVCwZJh2JxETK1sR9xG6JQz8qMUZACpAAp4OkKECDk6e8A55//i9/lY/2BWtmBB8UE4B+XDJO1edKKNecHaw4rFm2e/PwQ9hTJYatRqSF44JzBlhR69TAFiqpacN9yNWz25zPTMTFD+wGRvpaorM6Iu9/epzrMQgayTWdAmzI25NTihW/zlc149vLhSIqUgw5fbynDB78fUeW+s3AMfLy5l7Fz4zJW9g+d8mNewOCOc3qAbzgQxcEoaYwZFIK/nd31Wb6dQV9VDP6Shr1uYdeyEmOtrNSYNOwFWqR99PVyJ/uNwuL40/VahrDkBfBR/DbwwAcHkF9+rBzbJYPexsiwXTaHF5lxOSLTr7CZ01K3Fw2lv5hdfwzd7j/xuOPdw6hplDu5zRsXgytPsg2FaR1Mq2ykyPuH98XBWw5HKaOnf0eU+bROCthSQHlDwFau1jYChLRUcWxbVFQUxowZg1WrVml2HB0djczMTGzcuFFzuz2NHR0d8Pb2trlre3s7fHx8rOaU7/sXGis2oKd/ufk/sX2ZM+iE9+HFHkzl0dnZyZbVR8v//RKgQ/69b97Bxv85etwBkeMRP+pBzSNatG6u3oYyVh5TKxw9Hq1jWNoiB1+HsKTTLKuar1UHl6C+5DvNbdLGvh538uRX4HvU2c+io/T4fLlo0y1ob60wN/f1eKTHlh7LEJyGpAn/km5WLRsb81Hyxz2qdt4g7UszwYE5oSl/QlT6pdYOY26vLvgEdQUf2sxxxpgTxv0D/qFDbI6jZPsDMNYfMOc4Y0yWwUiP5e0XjtQpb1g2db9K37PtploUbbi+e5tlQdqPpU356qgc3m9IwimIHnKz8hCy9fojP6Mq51VZm3LFUWOy1U/syHsRFDUZUh2V4yjb+080V25y6mdIOQa+njbjI/b/8n+flP9m5a+9kP9DJtvd1vlbEh2ZExR1HOJG3m/pWvXKtTbWbWf/Vv1Dtc3S4KjxWPqz9ho15Eb2wMgcq//2S/dzxH/38P5svdcsx3NUjsiYLcfs6VV5PUCAUE+K0XYQIORabwItQKiawTMFLeVoaDv2Yxof9ZCgJMSz//BwheCAUDODewYFxOpyEepyDSonMMgVJlFwDNzxx+DTZYfcGyhIejiLi5DJFMvKi8WivaProl+aQ8ukAClACniaAgQIedqM9//5Lv21GD/vqpQNJDrUgBeuHiFr86SVj9YdwZeby1Sn/NatY9h/D8l/+JEmvcBgqw0EW0kl8fjlA0ea8MjHareeB88djJHJx8rtOlOoZlb27HqNsmccoOAghTJ+3FmJt1YWK5vx2g2jEBIgv7n46+4qvPFLkSr35etGIjzIuf+tz52DuIOQMq5h5d1O7aG823PM+WUzc4CRRmZ8IB67cKi56eY3dqO+We5MNJ+VsLqUlbLSG1ouR/b2pffYevJrCj4Av7l1DArquhkn7SNx/NMIjJwgbYISpjo98StMj14jy5GueBuCEZ58DiIzrpQ2Cy9rlZWbOTISN56SKtwHTzS1d+Lql9Xl3y5n5cVOZ2XGeorskkY8+slBVZqW85YqiRpIAUEFlDcEBHfrTiNAqFuKPlmor69HQkICZs+eja+//lrzGIMGDUJ4eDh27lR/32ju0EMjL2VWVVWFrKwsVUkzy65lZWUoLS01g0n8PaAV1dXVKCoqgmV8Wjn8/PLy8pCUlAQOOmlFS0sLDhw4gNjYWLMWWjn8Ztu+ffsQFhaG1FTr39U8x9/fHxkZGVrdmNtycnLMNxOHDu3691orMT8/H01NTeDuTtaCdCQd6f1In2v6ftT+hqTvR/p+pO9H53w/an8C1a3K6wEChNQaUYtCAQKEFIL086oWIMSHlN10GOXMScgSsQwMSgmIQZC3a9Ss54BQaWs1wliJMVFIiJclK2qpIDjIMqke/sohoTZjMuobB3m4EnT6pAApQAp0KUCAEL0TnK3AhwyG+UoBw/gbvLH05tHOHorLHO/f/8vD1lw5HMCdUrhjiq3gEAWHKaQRGeyLl64dKW2i5X5UgJeN2niwxuxmw0t8xYb17XXVjoJ6PPNlruqM+9tF5MpFOxmcz5//OxbnTonHecfHH2s4uvTpxlJ8tqFU1s6NCZYtHCtr4yubD9XiuRX5qvZnLhuGlKgAVXtfNhypaQWHRZRx+2mDMHWo2ilJmvfaT4VYvbda2oSECD/8+4osc5tW6Sl7XX9uY25E1Uo3IgZqXWWH441swD2sdHa0mmEfU0sZgiKPYw+92nabKN5yB1rr1HpKDxObdTdCE+WuBNe8shPGtmPvtclR63FqymbERqcw9584swOQb0A8DOyPv3r79g6c+78PDyC3TP6Q1ZQh4bjz9DTpUHtctgaYXTcrGbNHa98Il3aaX9GMB97veqJd2n7vWRkYl6Yu5SfNoWVSQFQB5Q0B0f0seQQIWZTom1f+dHhERAQmTpyIX3/9VfMgfPukSZPw008/aW7X21hZWYmGhgakpVn/zqutrTVDRBzG8fXVhncbGxvBQaLExETw95lWGI1G8BvFHP4JCdH+7uYaFBQUmHXg52otOLQTHBxsLrlmLYcDS3y8HLqyFiUlJeDHTE5OtpZiPq/W1labMBLpSDrS+5E+1/T9qP01St+P9P1I34/O+X7U/gSqW5XXAwQIqTWiFoUCBAgpBOnnVWuAkNJFaChzD4pzEfcgLpkFEOLLPUFCHAzi5cSopBhXi8KiQHt7GFpb0tDeZv2HAksuvZICpAAp4AkKECDkCbPsWue4Yms53ltbohrU28wtx9eGW45qhwHUcPc7+1BWa5SdkcgN5k8ZRPEZgymkwcsq8fJKFP2vgLLkT5C/Dx4+P7NPwZUNOTWsPFeB6uT/c+VwxIf7q9qd1bBw6R5VGSZrJbLeZODbT4Lg2/7DjXjsU9dwTclh7k0Pa7g33c9K/o1mpf9sxbtrDuPbbRWylNBAH7x6/ShzmxZgdcFUVrpscpxsH5EVre+bWaOicP3sFJHde8jpRBOz3T/m+lMKDgS1tZaychzHAKjU45fAEGT7eKW7n0BjmXXnHz6QSFayIjLjqu4x8dJpvISaMkRdeJT7iaw/8TkrD1dkvTycSB88p5JBW3cweEsZt85NxQkMLuwprAFqd56RhimZruEI3dM50HbXV0B5Q0DviAkQ0quY/nxePozDM9u3b1ftzCGcuLg4nHvuuVi2bJlqOzWQAqQAKUAKkAKkAClACpACthRQXg8QIGRLLdpmVoAAIdd6I1gDhPgoLS5CruYexMcmBYT4+uCgBCT6qX8sI9cgrg6FlgImYxJamjO1NlEbKUAKkAIeqQABQh457f160iv3VGHxz+qSQItYSaAIJ5cE6lchjh68hd3Qvk7jhrY1dxXpmH/YUYG3Vx2WNpmXF984ChxGoehfBbScoXipKV5yqq/C2ufrletHIixQ+6n9vhqLtN/73stGUWWLtAnThkXgtnlqV8/nv83HxpxjrrZ8p7TYADx18TDZ/nyluKoV9y5Xu8zcxaCIyU6GIrbl1+PZr3JVY3zy4qFIjw1UtUsbOOjHgT9pWGA/brx0xUs7pJvMy5fOSMT8CbGq9p4auF5cN2nMyIrELXOsl1nhuR3tTfD20S4NI+0r//eLZTCQdJtlOXHcUwiMmmhZ1XytPLgYtQWfwMc/0uz0Y3b88e9y/bE4ARkCk5gRUVdZat5JRb0Rd761T9XfLQyy4Q5efRFan/OhCUF45IIhug5XUt2Ke961/71cxQAjXl5NGXxe+fxSkAKOUEB5Q0BvnwQI6VVMf/6MGTOwf/9+c7kuXh5LGhwamj59Ou6880489dRT0k20TAqQAqQAKUAKkAKkAClACvSogPJ6gAChHiWjBAKEXOs9IAIIuZp7EFdQCQhpuQgRHORa7zVXGk0Hcw8ytg6CyUQ/kLrSvNBYSAFSoH8VIECof/X3xKNbKwn0z8uGIzlKfiPDE/Sx5jpyBytPczwrU2Mr1h+owYvfqd1i/n3FcFaeyPO0tKVVf2y77EU11MHHsfx2daksR43v223leHdNiaq7t5hDl6EfHbqe+Iy5rBSLuaw8znL3CebWNbXhliV7VOfL3XC4K44z47f91Xjlh0LVIZ+/OgsxobZLy32/vQLvrFbDfktY6UUv1qOWK85VM5Mwd2yM6ng9NTz4wQHklctLYh0/NBy3nRrF3H5KmfsPc/wxv/LlrnXe3mGqR8bMrxiQY/u7pXjLnaw0mBrSkY4rZvidCEs6Q9qkWu5oa2DH8jP/qTZaaeClvnjJL2X0ZZmtl38owNr9NbJDpkQH4JlL1UCbLEmxwueEz40y7js7A2MH9VwirLG1HTe+vlu5O65lJcpOEShRptqRGkgBDQWUNwQ0Umw2ESBkUx6HbHzkkUfw7LPP4rPPPsO8efNkfT7zzDN47LHHsHLlSkyePFm2jVZIAVKAFCAFSAFSgBQgBUiBnhRQXg8QINSTYrQdBAi51pvAFiDEy4w1txsRYQhGEPtBzpVCCQjxsUkhIYKDXGm2XGssBh8/9qN2EmobUtDZyX9mpyAFSAFSgBTgChAgRO8DZyvAIQEOCyiDl14alhisbB7w67/ursIbv6gdlUSAqd1FDXjq80MqjbhzBXewoOg/BTo6O5nry07NAfQlIKTlRMNL9/ESfv0Z//0mH5sOyl2B0uMC8eRFQ1XD+itzUTnM3FSkccLwCNw6V+02ZM1d56LpCThrov7yW9Jj6l3+jkE+y6xAPgEGb5vd/baPwUU/quGiF64ZAX9fb9y0WA1+2AtBPfJJDg6UNMnGMykjCGcHL5S1aa2kHL8YfkHqeZDmlu1+Cg1lq7qbfANizQ5AvgHc/ScO3AkoIGIcuPuPo2NHQT2e+VLt4vT4RUMwOK5vvhOXspJ4PytK4kWHGvDC1SN0nZ61cnl/Py8Tw5N6/rexrb0TV72s/s65jDlNnWGH05SuwVOyxyigvCGg98QJENKrmP783NxcjBkzBieeeCK++uorGAxdLmsVFRXg7kIRERFYv369/o5pD1KAFCAFSAFSgBQgBUgBj1dAeT1AgJDHvyV6FoAAoZ41cmaGLUDImePQeywtQIj3wSGhIB9/1LU1oald/mOy3mNQ/sBTgMNBBq8oNDYmoKGl56cvB54CdEakAClAClhXgAAh69rQlr5RoKCiBfe/n63q/C9npuO4jDBV+0BvWLbmML7bViE7TVGgg7SUyeZSKxxw4aCLVvQlILT8t8P45g/5+yk00AevXj9KayhOa+MQHIfhpBETZsDzV6khCg7DNPw/e2cBZ1XV9eEFE/TAAEMoMYKkgKKIia2vLWIrKraYr4qtr2K3fiohGCi2Ync3Niqd0g3TTA/ffg7s4dTNuXfuxF7+8N6z7z777LN2nJlZz/2vonJ7VTlil7YyfIg/UHKhql/gqk/qLVJwVae9qVKEva1Shdkt3LX857+5Qqoqt92nVGiaN06Sy571SR3lSptVXpJVqf5TWqyUfwrVP/VaoX5H3m7gw5VN362gwlkKLrRb/y7N5fSMW1T9DfZiz/sOO98lTVsHV50ozptnXRMgCBhISQB52olXwU9KyWeMUvRx22Nn95aMtPh8+emVH1fJB3+uc1yymUrxOEGleozEAsFN4aSo09c5c8w/UlGhj7a8nrRnBxm6e/XCcs4emKO65AF3QCDSezOAUKQei67+qFGjZNy4cXLIIYfI8OHD1d/CCmTChAmyYMECmTJligUPRdeyOct4wHjAeMB4wHjAeMB4wHigPnvA/fuAAYTq82wI894NIBSmo6qpWl0DhKrJbeYytdQDTVLUt0XLtpf1ORlSsTmplt6F6bbxgPGA8UB8PGAAofj41bQa2AMb80vl8ue8we6LD+0sQ3rXvzSg976zSGYscwbrMzOUssqpXmUVt1ezCkp9wYELDu4kB/St3vRK7r7V9+NAwAd+QVkEhZF4mB+I065lqjx6Vu94XC7sNl+bulre+32toz6qOqTQslu5kgQ6a4xXBSWYItA1k+fI6uwSezOyX590ueiQzo6yeB9M+naFfP6PE7Bp1SxZxpzbN+SlA6nH3KrUY1o3S5GrXvCm7CIN4aAu5bLqr+ut1GCbg3xRJnO/d6RhUhOrHw+896/8vSTP0afe2zeT8zKflKIcV7o2BfcA+Wj1n7Ttj5VGLULvTY7Gq/EgUKq2py/qJ01S4wMqvfPbWnnj59WOu2yoLjX50shSCQZKv/nQ8F7SMT14Wjd98fOfmiGFJU5C6NhB7eSUvTroKubVeKBKHnAHBCJtzABCkXos+vq33nqrTJw4UfLytuz3PXv2lLFjx8pee+0VfaPmTOMB4wHjAeMB4wHjAeMB44F67QH37wMGEKrX0yG8mzeAUHh+qq5aBhCqLk+b6yTaA6gHNWrYSgo2dZDcTS0T3R1zfeMB4wHjgRrnAQMI1bghqfMdKi6tkHPHz/DcJ+ogqITUN7v02VmSXVDmuO19FSg1UgFToSwQTHGqSq90TDWnVwrV1/r2+cd/rZMXv1/le9vhpgzyPTlE4ROfLJGf5ztTeXXNaCz3nNozxJnx/fjDaevk5R+8/pikUp+lqBRo2qKB3m57Y4EsWO1MmTVQqZGNUqpk1WlPfrpUps7LdlyyU5vGcr9SAQplyzcUyd1v/KbSfGdJeupG61UabJbdBp8vHRTgdd1LAVTXMpvLom+OCNW8dBr8lKQ2y7TqPfrRYvl9Ya7jnO7tm8q1Q+ZLeUm2lQZsCxCkwKBGGY56Nf2gKipO0d5boNRyz47sZ6WHC7fdH+dmydjP/NPMtWkeHlDo9zz5z85t5az9/NW3wu2bqWc8oD3gDgjo8nBfDSAUrqdiU6+8vFxmzpwpHTt2lIyM2rWfx8YDphXjAeMB4wHjAeMB4wHjAeOBWHrA/fuAAYRi6d062pYBhGrWwBpAqGaNh+lNfDwAHNQ8pZkUl7SWDbntpKw8OT4XMq0aDxgPGA/UYg8YQKgWD14t7vqIsdOltHyz4w6OH9xeTtxDpaOpR5azqUwuecal2KHuPxLA58IJKr1SsTMd01G7qvRK+1RveqV6NGxh3epz36yQL6Y71WT0icBfQGDxsEDqMLcO6x6Py4Xd5rezN8qEL5Z76j95bh9JVwo52pasL5SbXpmvDytfg6UgfOj9f2XaYqciTo+OTeX2E3esPL863tz/7r9Cmii7oczj5/uyojWSteRllRJMpQFT/0rVP6lwruPC8iaysdNz0llBRje/6vXJDUN3kP6dW8jSqcNVG84UV7oPDdTvQ8A+7XpfK43SelnFfiBTl7aN5d7TQoNMut2a+uq37tIVXPPkOX3i1uVvZ6m5/aV3bo89r6+0bBr+759fzdwgz3y1wtPPpy7YyUoz5/nAp+BqpTS1JseppnXgTq3l/IM6+dQ2RcYDkXvAHRCItAUDCEXqMVPfeMB4wHjAeMB4wHjAeMB4wHig5njA/fuAAYRqztjU2J4YQKhmDU1NAoTWleZKowYpkpa8RfI8mKcWFK6WNcVZwaqYz2qpB1LVH68bNGggxWXFMbkDDQelJKVITn66rFeAkDHjAeMB4wHjAa8HDCDk9Ykpib8H/FQODhvQRs7ef/v4X7wGXWHm8ny55+1Fnh6NOiZTBmamecr9CvzSKw1R6ZUurub0Sn59q89l976rUsctdaaO0/44cc/2cvzu8YHhbn9zgcxflXg1HX2v+jVQyjWgFOAUbdMVYHOfAm3cNvrkHWVHpXLjZ+O/WCbfz3b+jtihVSN5+MwtQIzfObEv2yz3v/mL5OWukgayWRYVbIGTBnVPk6uOzPRcrqxotQJ7zvaUuwsWtJoomR3ayOg3F7o/EtKP9d6umayb/aCUq9+pkxu325oKrH1lWrCkVC+I9pTy13cuf5HCilRWtd0eVwpav7gUtOINP/26IEf+7+MlHtcx/5iH4drHf61XqmMrPdXdKlueCraCG16ZJ8vWF9lKRPbu2Uou/U8XR5k5MB6I1gPugECk7RhAKFKPmfrGA8YDxgPGA8YDxgPGA6E9MG3aNCksLJS99947dOUE13j55ZflqKOOkpYta3a2j4KCAvnuu+/kiCNCK/Ym2KXVenn37wMGEKpW99fOixlAqGaNW00ChLLLNklOWYGUba6QjJS0oKCQAYRq1jyKZW+Sk5KlUVIjKasoqzIkZIeDikrUN2/z2kphsX9AIZb3YNoyHjAeMB6ojR4wgFBtHLXa3+frX54npNSx2969VBDzsPoVxPz07/XywnfegPBjZ/eWjLRUu3sCvvcDQnbJbCHXHrNDwHPq8gczluULMEqT1IaCckbbFuH5MdY++e/zc2RdrlPJQ1/jANWvC+Kk6FFT19a8VQW+kMvNx3eTvp2aa9dIoDRLj6o10S7AmnhJpS77SKUws1vzxkmC8kqsrbxko2za8OtW1Z+1lQpAZUVrKy+1uqijjFlwtXUceKwVRPTN4aJYoqA2u8k9ktmply9IeKeCproFgKaCNfqsUrf60qVu1TYtRf7v7Pip7ATrTyw/A7gEvLTbTp2by01Du9mLYvoe1SjUo9x296k9JDMj9Jeg9Hnv/L5W3pi6Wh9arw1V9r3Jlw1wlAU78Eu3t1u3NLn6qMxgp5nPjAfC9oA7IBD2iVsrGkAoUo/Vzfq//vqrfP3119KtWzfZc889pXPn0Gl1E+GJkpISef/992Xp0qXSu3dv2W+//aRZs2aJ6ErIa65fv15ee+01SU1NlX79+slee+0V8pxEVZgxY4Z89NFH0qVLF9l9992le/fEqlwG8gMp+j799FOZNWuW9OrVS4YMGSKtWrUKVD2h5bm5udb4l5WVSd++fa2+NmzYMKF9CnTxhQsXyjvvvCPt27eXXXfd1epvoLqJLN+8ebN8++23wn7Vo0cP2WeffaRdu5r55eNNmzbJlClTJDs7W/r06SP777+/pKRsU2hNpB/d116+fLm8+eab1lraeeedZeDAge4q5jgKDzz//PNy5ZVXWnOUOVtT9ypu7YwzzrD2gJNPPlmee+65KO62ek6ZP3++DBs2zPoZ4Msvv5RBgwZVz4VrwVXcvw8YQKgWDFqiu2gAoUSPgPP6NQkQomdAQkvVH1Ubqv+aKEgkEChkACHnONa1o6YpTaVxcmMpKC2IGhKyw0H4J6eglWzIaR/qb7nPL6UAAEAASURBVO91zZXmfowHjAeMB8L2gAGEwnaVqRhDD9wxZaHMXVngaHHnri3kumPrF9TyzNfL5asZGx1+aNqooUy8sJ+jLNjBwx8ulj8X5TqqdG/fRO44uYejrD4cfD8nS8Z/vqzyVknvc4eCKKobEiJ9Hmn0Alk/BSzcGCdg4YpJs2VDXqnj0gf3byPnHpBYda5VWcUy6sW5jn5xcOURXWXwjtu+OfjxX+uUisoqT71nL+4njVL8Ax3vKrDidRdYQQMvKrBCCZSGZZsrSqWiLF/8FHfsDRTlzJCVf15jL/K8L6poLHfPutMqP1ql+zstQLq/pT+fpa5ZYKn+pCj1n+8XpMiawpaSXZIu2aWtrdf9+neR/l1ayIPveQGU+07vaaUf83QgRMFkpVLziVKrsRtrhZRYtd1uVAo6S10KOnv2aCmXH941brc2f/Umuf2NBZ72bxnWTfpsvw1+81RwFTCHmct2a6xAx2cuCv954AdI9e/SXG44Ln6AlL2/5n3d94A7IBDpHRtAKFKP1a36WVlZMnToUPn9998rb6xJkyZy1113yUUXXWSpild+kOA3P/74oxXEXLduG4C8ww47yNNPP21BTQnunuPyDzzwgNx7770C0KTtyCOPlDFjxtQooAFli1NOOUUItGpLTk6WG2+8Ua699lpJSkrSxQl/nTlzphUYBmbQ1qFDBxk3bpwcdthhuqhGvD7zzDNyww03CJCItn333VcmTJggXbvG7+cffa1wXwGuzj//fHnjjTcE+AYjk8Cll14qo0ePFp4vNcWAAo899lgBENAGcPHoo48KUENNsrfffltGjhwpeXnb0hwD3jAvgIVqkl1zzTXWvKyoqKjs1vDhw+Whhx6SFi1aVJaZN5F7gDXEswA76aSTZNKkSdb7mvi/wYMHC3ssBiBU09aU9hk/B+j9fscdd5SpU6cKP8caE2u/BkLluc5+bgAhMytCesAAQiFdVK0VahogxM1rSCivrFCpCDWTpj6gkAGEqnWaVPvFAISapzaXTaWbJL/E+c3PcDrjhoOKSxor9aA2sqk4/D/MhnMdU8d4wHjAeKAuecAAQnVpNGvPvTz8gYJalMqL3bp3aCp3nLQlLY+9vC6/H63SQc1zpYPq2bGp3HZi+H6Y+OVy+WaWEzJCfQgVovpkKzYWyc2vzZfSsi1/cNb3fvzgdnLiHh30YbW8oo6Fkk8ga98qVR45Mz7jc8GEmepn33LHpY/eTUEqe3d0lFX3QV5hmVz89CzPZc89cHs5uF+byvLXflot7/3hhCQAgwCEAtlXMzbIM1+v8Hw87vy+ktYk2SrfvLlcSgtXOBR/yorWbFUCWiPlxRulaZvB0mHAFrDH09jWApSClk49M9DHleX3zL5DCsubyKl7d5BjdvP/tnFFeaE0TNqmMANABUhlN9IF7rZDmjz20RJ7sfU+0hRWuoFXf1ol7/+xLeBJedNGSQpMjL3ikr5mdb1e9txsycp3AnKHKEDunDgCcsvUer/BZ71fc3Sm7KrGLlyLBbj1kHq2TnM9WyN9poTbX1OvfnrAAEL1c9xjcddFRUVy9NFHC+ox9913n6Vw88MPP1hgy6pVq+T444+XF154QWqC6sncuXPloIMOEoCgW2+91VI6IQj/2GOPWYGwxx9/XEaMGBELt1S5jWeffVYuv/xyOfPMMy3ICiUhwBAUetq2bSufffaZpX5T5QtVsQHgkNNOO00+//xzCwg75JBDLFCMgPaCBQssdSZUZRo1Cj81ZxW7FPD0FStWyIEHHijAa3fccYelcIQ/6SvB0Ntvv90CmgI2UI0fvPfeexbIdswxx1jqIcXFxRYYgJoUwMW7774re+yxRzX2KPClLrvsMqtvrCngG/YCgJu///5b+vfvb83VtLTwf24KfKWqfYIKD+sfVaZ77rnH6tsXX3xh7VU5OTlyySWXyIMPPli1i8TobPZQfElKqeuvv95SDXr11Vdl4sSJVgD/pZdeksMPPzxGV6taM3feeae19//3v/+19oJFixZZECP3wF7L3tCxY2J/X63aHSb2bJ5RwFa77LKL/PXXXzUavAEUJG0XUCv/UDzq1KlTYh3oc3WgO+YkqmwATeedd57w/DdmACEzB6LwQJcWhdKtZaGs35wthZudf7DJLsqWkvJtlHsUzZtTIvRATQSEuIUtkNA6yVOKQpgbFDKAkOWWOvu/5IbJ0iy1mSQ1SIpKRUgDRtpBuUo9aH1uhvoF3v/bxrqeeTUeMB4wHqjPHjCAUH0e/cTd+1NfLJPvZmc5OtBBQRMPxwmacFyoBh1cMGGGgjm2fYOOrh3Ur7Wcd2D4fyDxC/ZHqjpRg1wSdVf8VKlorFObxnK/UlqpTvt9UY48+qEX6NB9SFJ5g164tL8+jOnr8Cf/UT/7Ops8aa8OMnSQP6TirBm/I7o0/Il/PBc4WfXtOFvfogHefl2YI//nA9A8OLyXbJe+JdCUv+ZrWTvrPs/17QWpzTOl0+5P2Yt83y/65giVGmzLuk1KbWUpAG1OyZCv5iYp5R+l/qMUgBbm91AptFPkfJVKjlR34ZhfeqhdVXqovXq0kjGfLvU08fiIPtKmReTpA6b8ukbe+mWNo72U5AYyaWR85qTjQnE+OFspd5UpBS+7HT+4vYIE29uLYvp+fV6JXDlpjqfNS//TRfbuGX4qkqe/Wi5fz3TCnu1apsqjZ4UPEz7xyVL5eX62oy9dVZqze1S6M2PGA7HwgAGEYuHF+tkGqbpOPfVUefHFFy0YSHth9erVVvlvv/0mBI7vvvtu/VHCXgEAgFX+/PNPQTVGGwHN008/3VLqALw44IAD9EcJe0UhBrUQ+oMai7b777/fglsIvNPv1q3D+1lEnx/rVwLAQDcPP/ywXHzxxZXNA1wAN6EqBECEQlOiDSUOYDCdWkr3h6A7ShcARJMmTbJUOvRniXpFiYO0cqTss6eUwo+otaSnp1vjTzq3RNqyZcusNH2jRo2y1IJ0XwCuWG+vv/66HHzwwQLkkGglqfHjx1u+w6f4Vxsg24knnmipCgGLoXyUaAMM+/fff+WXX35xpD8k3RiqbACX3MdOOyX2SwCoW7GXsn/iX22kxANsoox0cwCNgHnGIvcAwBWg3dVXX20BYjwP2MNqYgrPJ554wlI9A7bkH+k7gTDtz7DIPRCfM/ApKQZRE+RnAtLjHXGE+ltAPTf37wNGQaieT4hwbr9ZSrkMaJsneQ03GkAoHIfFuU5NBYS4bTckRFlaclOlKNRYcpUE+6Zy57cq+dxY3fGAhnzKKsoigoTc6kElpY3Ut0dbS35h4r99UHdGx9yJ8YDxQF30gAGE6uKo1vx7evGHlfLxtPWOjrZokiTjz0/sH68cHYrzwbrcEvnv896g8ln7bSf/2blt2Ff/cNo6efkHb0qm50b2k9Tk+gFJ+ylv2B14twqOZ6ogeXXZB3+uk1d+9I6J/fqPn6PgjuaRwx32Ntzvi0or5LzxM9zFEumc8jQQo4KLJs6U/CKnutERA9vK8H23q7yCnwJK9/ZN5fZhHSvVf0ot5Z+1W46L18im5L5y+3f7Vrah3/zvhO7Sa7tm1mFRzkyVGuxq/ZHva8PkJpI55B3fz+yFRdn/SMOUVkJasAbqd1RsxcZiue6lufZq1vv/HtlVdu++LYWap4Kt4H6VRuyfJdvSA/BRb9X//fqmy4QvlttqbnlrV0jyfBikAIUmlJrc9tLlA9xFteq4sKRCzn+q+ud/gVLsulApd7nNrY7l/tx9POazpfLTXCfc01kBjqSSC9cmfLlMvp3lhm8bKfi2V7hNmHrGA0E94A4IBK3s86FJMebjlHpSpNUjSN3Tps025UBuH0iEACEBeALFACOJNNQ4gC6++eYbTzd++uknIX1Xs2bN5NtvvxXSjiTKAFV69uxpBVhJ0eU2nXKGdFMAWtxTogxVo6uuukoAwVBjsBvqUqRx+eOPPyx4BIgkkYaa1Zw5c2T27NmeblC2//77C4pIn376qQwaNMhTp7oK8Fv79u3lggsusFI0ua+rQRfgkK+++kqaN0+cur4GBFE8AgSyG+mmTjjhBAsOAR4DIkuk0QeApY0bndA2fSLlHOuJzwAFdPqhRPUX8Iv5OHnyZE8X3nrrLWsvpQ6QYEZGhqdOdRVoQBBlIyAht1144YWC2tGwYcMsJbmaCIq4+1zTjknzhNrNUUcdZaXBBLjlufrhhx/WCGU+u7+Yj0A2zFuUA1GPQq3ryiuvtFerEe/POOMMIdUYexf+BLrkOYZCX3029+8DBhCqz7MhzHtvmlwuO2cYQChMd8W9Wk0GhLh5oxQU9ylQYy+gVYQaqRRz4UJCbjiIm8vb1FI2KPWg8oqkGnuvpmPGA8YDxgM1wQMGEKoJo1D/+vDOb2vljZ+dAWq+9PriZbU7QB3JSE5bnCsPvb/Yc8pNx3eTnTqF/wfc7+dkyfjPl3naiVZdxNNQDS/4Qd3/OJ/7t3c73goi9mvx/pmvl8tXM7x/VLbXs8Mr9vKqvM8qKJXLnvUGMy46pLPsp1JVJdqumTxXVmc7v+wxpHe6XHxo58qu/e+NBbJw9RY1WQoHpv8mR2//gaTKtrLKylvfNGyxq9w89TR3sVx9VKbsphR4sLLi9bL0pzM8dZIbtbUUgJIV7JPcuL2kZ54hDRpGHkCbu6pA7nhzoaf9W4Z1lz7bb4GUPB+6Cp5UKkFT57kAkbaN5RCVgu25b1a4aos8fdFO0iQ18t91Pv5rvbz4/UpPe5Mu6S8pSdvUBzwVanjBWgVdXuUDXUaq5BPpbZZXbJazxkz3nHbaPh3l6F3DD8Y8+uFi+X1RrqOdSFNvTvp2hXz+zwZHG60ViPiEAhKNGQ/EwgPugECkbRpAKFKP1Z36N954o5WaAwjIL40Mab0IvgEL/PPPP751qssbKPIAAAED+RnqLAQyAYkIbCbK5s+fb6WTuemmm+Tmm2/2dANfnnTSSfLJJ59YykwEjBNlKPLQRwKtpMBxG7AT4MWGDRssNZQ+fRL33PrPf/4jCxcutJRi/EAFAsVADqhKEChOTk523061HAPWbb/99nLuuecGTHsD7EIQ/oorrrBSZFVLx3wuQsoz+hlIfcMOCX788cfWXuDTTLUUnXXWWZaaCXPSL+UdcxgIA1Wu6dOnO5R7qqWDWy8CpMZeijIX/vWz2267zYLHTjnlFCEdYaIM2BKfjRkzxjc9ox0SfO655yylrkT1tTZfF2CNPRTYcujQodbzCVW+RO79fv4kjR97FypnKIjtvvvuUlBQIN9//33C1a7c/UUtDNiW5y0KiLxnLgMR1mdz/z5gAKH6PBvCvPfGSRWyS0au5CcZBaEwXRbXajUdEPJTEYqrQ0zjNcoDWkWITm0q3ST5JfkB+5ealCrNUpqpP2Zv+wZ2WXmKZOW1ltxNrQKeZz4wHjAeMB4wHtjiAQMImZmQCA8QwCSQ6baJF+4kTRtFHvB2t1Mbjt9XKh6v+qh4RKoK8pdSHHlQKY+4rbpVc9zXr47jFRuL5JbX5ktJmTOlkPvaXRRkce9pPd3FcTu+++1FMmt54J9fufDIwzrLvr1iC+2szCqWa1+smopNvJxSXpojYz/8XfJyV0mrlCzr35JNO0hK+r4y6pgdKi+LqhbqWtr6t1TpHDq/pA99X5OadJabfrvC89kFB3eSA/puS6mRtXiyJDfKUCDQFhgIIKhBg9gEdf78N1ce/mCxpw+ov6ACE44BAX0x3Qt3HKlUll783qtI9bwCepKjAHq4hh9wVNv330VrNsmtry/wuPqG43aQ/l1aeMpjWXDOuOmefej4we1UarNtqWlCXe++dxfJ9KXOfaOvgkVvVtBouIZyGQpmdmvWOEkmXFB/1Pns927ex94D7oBApFcwgFCkHqs79T/44AMhSP3II49YqW/87uz555+3goUoCNnT0PjVjWcZqYNIITVr1iwhhZefkS4NVZSXX35ZjjvuOL8q1VJGCrF27dpZUI3fBbOysqwUZKWlpTJjxgyPepPfOfEoA6QhJRvphP73v//5XgKQCSUZgtykmkqU3XHHHUKKNqAGAtd+BiAGKPboo48K6ieJsj322MNKfQN4RzoptwFeoHIE7AI00K1b+D9TuNuqyjHKO7169RLgm3Hjxvk2NW3aNAsMIqXPDz/84Hs/vifGuPCpp56y0jQB3Rx99NG+raN2Anhxww03yK233upbpzoKjz32WAtkXLJkiS+oBCSIwhC+ZT4nSvGKFGPbbbedHHTQQYKykZ+RKo3+sZ/RX37eMBaZB1BfQ62N1J25ubnW/pWfn2+BN/369YussTjXBgIFsgS4JKUnSj2onQEJ+YF5ce5OwOb1c+mNN94Q4FH+TZ06VZ588kk555xzAp5X1z9w/z5gAKG6PuIxuL/UhhWyazsDCMXAlTFpoqYDQtykgYRiMtS1shE7IBRMRcgPDuKG8wtbWOpBgELGjAeMB4wHjAeCe8AAQsH9Yz6Njwd+UioZY5RahtsePbu3tEtLdRfXyWNUb1C/sVurZsky5lyn7L79c7/3gYLi16ug+IA4B8X9+lOdZXdMWShzVxaEdUkAIUCh6rDLn5stG/NLg17qpD07yNDd2wWtE+mHCxUg8T8fQCJSVapIr+tXP3/td5K/+vPKNGAVZUWear9n7SEzy8+S0SdtS89xrkqRVqxSpWnr3HSJXNjtSX3ofFWyY0A+KU06yajvTnF+po4iVXDxNBBBwXezs+SpL7xKXk+e20fSm4X3O8lrU1fLe7+vdVy1cUpDOU7NE3dKsKoorn07e6NvyrKx5/WVlk1jA0w5bqKaDv5WsOQDPrDkXaf0kB3axTfF4CXPzJKcTWWOOz18l7Zy5pBt6fMcH/ocjH5zgcxb5VTKGpjZwgHQ+ZzmKHrr1zUy5Zc1jjIgMmAyY8YDsfCAOyAQaZsGEIrUY7WnfllZmaD8ATDDOA8YMEDOP//8yqA1igGdO3e2ygn++ymzkCIFNQxABtR7AAXiYfSFdDao/2RmZsqQIUMsMEVfC2UAAn/BYBZSpe26665W0Jv+pqSE96zX1wj3dd68eZbyBwBI7969LWUNfKvt7LPPtlRZSNmy22676WLHK7AT0FM80zcxdl9++aWVLgZQhUAvqa9atdryxU3mB4oRqK789ddfAQPAKB599NFHFnwFTBAPQ6mCMSYwTZ/23HNPSxFIAzakjiON3IgRIyzFE78+aPCKeQx41aJFfEBkwA8UVf7++29r/I855hhLuUr36brrrrP6SPCaPvsZ6/LEE08UUqehgBEvY83S18LCQiH4j2KQXS2M9Yy6ycyZM600PX79QOnomWeesSAHgIF4GNAUQAJqRqQJYh2z3vUaJr0ca4kUSNTxMw1erVmzxhob4Jd4GO2TggnVImAK4LlDDz208lKkYwO4CwYr/P777xact9dee8VV8QyoB5WidevWWXMV0LN79+6VfT3kkEOEvqAQR9ozPwO6Ar4iJeXVVwdPDe13fl0rA/BijIFn8U0oGBW1MPb5r7/+WgYPHizvvvuutbeR1pHnbjzBm/Xr11vPGcAkFOMAAoMZkC2gDXscptPMVYfaGSnvmF/sMVw3KSnwFxRXrVplpRJFAQ+1vsWLFwtgJs88+m+f48Hut6595v59wABCdW2E43A/KVsBoQKjIBQH70beZG0AhLgrAwlFPrZ14Qx7mjHuxw8SCgQHUT8nP13W58Y24EK7xowHjAeMB+qiBwwgVBdHtebf0z9L8+T+d72qN9URyK0p3rn51fmyeF2hozv9OjeXG4dG9s1O1FZQXXHbJUqhZp8YK9S4r5HI48kqRdInKlVSuHbCHu1l2OD24VaPuh5wC5BLKDtgp9ZywUGdQlWL6PMZy/Ll3ncWec658+QdpVv7pp7ySArKizdIafEaBfysldRmmda/YOdnL3tTNi6YGKyKLMjvKZ9mXyoPn9nbqufnu2bJ+XJF/zelfdtOW1OBKSBIQUFaBUhf4IIJM2RT8TawiHLSOwEJVYd9NG2dvPSDV+UnkrRdKL+gAOO24wa1k3dd4FBqcgN5bmR0gVPSmJHOzG3/N6K3tG1RewHNH+aqdIOfeSGt6rivqyfPkTXZ25Sv8C3qVahYhWs3qWfCEtczYc8eLeXyw/3VK/zaDTSHJl/WXxpClYVp81XKvJYKbKsvwG6YbjHVlAfcAYFInWIAoUg9Vjvql5SUWIFLIJW0tDRBsYDA5o477miprGgVlssuu8wCCIIFs3/++Wc5+OCDrRReBIpjbYA2QEgbN260IAVADwylENLfAAwUFxfLwIEDheA88A8QkZ/p9D0oDAAZxdp0sJfgJSnPCLwCMRCoJLhJuQ7+AzSgEBIIvCKguWzZMktJRoMwseovYw0MAHTRvHlzy38oFgFNoMaiQR+C/vfdd5+luILyip8tWrTIgshOPvnkuKREQlmD8QfwSk9PFz3+pLdDeQOIjcAv6c4AGZjTzAU/Gzt2rFx77bUCgAXYFGsD7EF1C/+2bNlSANsYOwLoQCEE+/EXY0+/UWkKBACQEgdljpUrV1pjFOu+Mh8Za/sej3//7//+rxK+06n5AAcp9zPGo2fPnpaSDPcfa2MNAaoAKQGvkdqM8WaMAZM01ABM9dlnn1lKVkA5fjZlyhRLEQm1Kfa2WBsQA9AXwJV9rqLC9OCDD1rjCHCFMkxqaqo1X5knfgashSISMBuqY7E2fIDyFv1gjwLCY8+699575bzzzrMuh+IaUAiQ26uvvurbBcArYBbG5s8///StU58K2VuAO7UBhwEMBYJSAAlJfWlXNtNpBi+//HJr/9VtxfpVw520yxzgeuzzzAM/0ypcQLCAmvzcANTE3vzhhx9ayld+51W1jPaBbHlGYbxnP+LagQwlQZ6hOq2YfjZzzhdffBEUMArUZm0vd/8+YACh2j6i1dD/5AabZbf2OWIAoWpwdhiXiBYQWluSI3nlRdIuNU1aJMX3W3j6NgwkpD1Rv17tKkLcuRsScn+uvVNU0kQ25rWVwuKqBUF0e+bVeMB4wHigrnvAAEJ1fYRr5v0FUjq5QcEx/RUkUx/srDHTpbzCmRorUsUJ/FSkgJTzfIAUlCtory4ayksoMPnZMAUCfalSKLnVPDIzmghp1+JtS9YXyk2vzA95mWhgsFCN/rYwRx77aMu38Ox1HxreSzqmN7IXBXxflP2PFOXMlNIiYKAtQBCvmyu2/BGNE9N3OEvSM88I2AYfFCgFoTUz7w5aZ3VRR3l++bXy1Nb0R2sV7HZVlLDbVS/MkbU5TkBjfwVoXBgBoBG0syE+fF2p/7ghnkYpDeXZi/uFOHPbx1/P3ChPf7V8W8HWd/v3TZdvZznVxqqSNur3RTny6IdVmyeeTtaAgo8VMPiiAgfdxhgwFvE0P+Bzjx1byhVHhA/3jFLpAVepNIF2269Pulx0SGd7UdD3n6u9b5JKVee2py/qJ01SQ/tg1op8Gasgq6ytCmhHDsyQM/atHsjO3WdzXDM94A4IRNpLe/A40nNN/ZrrAQLAKJgAAAwbNswCWUgjRHAYiAUVgwMOOEDWrl1rqQIRRCaQiZqMnxHwBtT5RgEvsTQAi3322ccCLlAGQeVm/vz5ggoLMACBc9Rj2rRpY6XBAXoJpiKilUaANVAbiqXRD9IH8Y9gL4AA/rjkkkuEdE0E2gEaMPxPwD0YeKWVRn755RcLKIhlXwGWUIwgfdyIESMsQAjVk1tuuUVQDiLIjYIN0MDOO+9sgS6AV4HStwEUodowe/bsWHbT6hfplki3xfgT8EW9YvTo0RY8kZGRYY0//UJtg1QywG1fffWVb7orFDNI2QXwwr3H0oCTAOUIQE+cOFE6dOhgpZEDFpg7d64FuZCqifWl/U+qq0DgFcpBF110kaWaRLuxtCeeeMK67o033lip+gI8c80111hjrgGa8vJyy+f0Pxh4haoH65E5kJwcW2VL1jNQHeuFeQYwBmwD3ATIwFiz/9BHfM9cCAReARKihANwhCJZLA2IAUgNcAJVNvYm9kxS29EfgCZ8xDMVuAFlE5RQ2Cv8DLW0oUOHWnPp9NNP96sSdZlWXGN+3X777RakhgoYgAjAF/AYcCCG/xl7UggGAq+oD6yHDwI9I6LpLGM9ffp0C0Bj3Pxgymjajec57J9aeQkIFciP5ydri3/8TGY3YF1StDHGAIwY4I3e60j1ybM4HrZw4UJBpYo9CbUr9njAxQceeMB6jrmvCQQECMr8AWDEUCFj3wUuBZALBLy524r0mOc1z0vgIPpNCjzU+JinfnOO5zDPe2Ambaeddpq1n/KcY++rb+b+fcAAQvVtBkRxv1sAoVwFCG2Qws3b/rhIU9lF2VJS7vxjXhSXMKdE4IFoACHgoOXqm6OF5cWyY9PtpH2qP5UcQTfCrmogobBdVWcq+gFAGhKC7m+W0kxSklI895tT0Eo25LSTzdLA85kpMB4wHjAeMB7wesAAQl6fmJL4e2BNTrFc/cJcz4UuP7yL7NljixS958M6VLBiY5Fc99K2PzDoW0NRBmWZSO2ccdOlpMwJG5GW6GSVxqqu2YqNxXLLa/M898t9DtwhTUYdnSnPfr1cvpyx0XPr95/eUzq1cf4hzVOpigW/LsiR//vYC1+4m23fKlUe2aqc4/4s2uNAaa7GqDRXzZWSb8Pk5uqf/7f49DU3zB8nOcvf0Ye+ry22O1wyel3l+5kuLM6dKyv/unZLCrDG7azXeeubyXcLUiS7NF2yS9IlryzNqv7iZQPUH2lFFqgUabf5pEi7QaXL6x8iXd7/Xp8vC9cU6stbr7t1S5Orj8p0lMXrwG/OtWmRIo+P6BP2JX9Rc+dxn7mzc9cWQvosu0WTjlCfHygVV3Wm4dN9ieXr6z8rSOu3tY4mq6K05GgoxMGdby2UOSuc6Q4HqHG7/tgdQpy57WO/1ISHDmgjI/bfflulEO8C7gEqfVyrMNLH+YFONwxV669zfFKnhLgd83EN9IA7IBBpFw0gFKnHan59FB/at29vpTUBBLAbQeLhw4dLkyZNLPACRSENqhD01ICD/Rzeo8bxyiuvWOmI3J9V5VgrWBCYtAdJUWgBrEBBCICIICpBWNQaCFgS4LSrONj7gJIDKapiDQig+oCCCpAM60Yb6XtOOOEEK/iKghFwE8DLLrvsYgW8SS0D+OQ21DgIMAObxBoQIAgMdAIIZDfSItFXlBo+/fRTSxVGgyqkdQJacAe4OV8rDaF2E8sAMQFn1INIg4Qyj92ARIAbUC/BhyghAaqgikQgHnUUP0Otg/FBRSKWxtgCfqAQZA9Y5+XlWeMHyKJTxqGKQ/ou1HCYu4AlbmOOoMxz1113yVVXBf8Z3n1uqGNAGvqIkpbdUKshJRJzFoCQwD9p6Ai2A1YBO+gUdPbztNIQgAFp9WJlwGCML8olgDZ2Y+6y73Tq1MkCWIAstCoSexgAkZ+hNIQqGeBJLG38+PHWvCMdH7CFNqAkQBz8ybVRMmF9DRo0yJorrC9AILdRB8iQe0TFK5aGIhBrlfUFHKLt33//tfqCfwB+WE+Ab+yxAKCMP/52m96neX4A9FXVWB+AlbQLcIOxXwJYxmJ+kVYPcIQ167efVbX/GrwBYAPEBLxlvgGN8TxlXdmN5xFKYzy7tJEKi3qAhoyT37rTdcN9BbiiPbvhUxTOUL7i+Ql8CZgLDEZfWffaULTD/8BtQI7atDIf8BC+jYWxb9rTQPJzC89DoB8AR34WYW9iH2OvH6FAVztABgQEfMcewtzFUCFk3aHixbm8r0/m/n3AAEL1afSjvNckpSA0qL0BhKJ0X8xPixQQssNBdKa6ASGuaSAhvFB/zJ1mTN85kBCAkB8cVFzaWLLy2khBUf1QHtA+Ma/GA8YDxgNV8YABhKriPXNutB7ILyqXiybO9Jx+7oHby8H92njK61pBIBBg9Ek7yo4dtgUBwr3vKybNlg15zi9hHNSvtZx3oPePbuG2WVPr3TFlocxd6QzE01eACVLUpau0OIEAiJMUMDVUgVPxtPf+WCuv/bQ65CWSGjaQFy6NLkWUX+Nlxetl6vSZ8uucBdIqJUtapap/W1/T1Xv1A7Rk9BklLToc6nd6ZVnOsimyYcGEymO/N01aD5SOO4f64zLAmhPY/2rGBnnm6xWeJsed31fSmiTLn//mysMfLPZ8fo9SfuqqFKCC2QPv/euBaHp2bCq3nbhjsNNi9hlgD+vabl0zGss9p/a0FwV9HyhFHOpX7nSEGWmp8tjZ0QVNZi3Pl7vf9qaiu0OloutexVR0QW8wzh8+q+bWl2qO2S1SSMt+biTvH1Lzdpqav3aLdP5dqJ6JBerZaLdI0+T9Mj9bHv9kqb0J6/2jZ/WWdi1TPeX2gsKScjn/Ke9z+YwhHeXIXTLsVc37euwBd0AgUlcYQChSj9X8+gTxSc/0+OOPV6aSsfcaJZmRI0da6cZQZQEWIrAN4EAgkWCn28455xxLLSPWKWaAI7geqkEoFNiNvzMSwEbtCCUB1BcIBhKgJhBIOXCJ24CjUJC5++673R9V6RglBoK8QDZuI/UZEAgKK4BUBOi1igfp0FDoQAXJbgTjDz/8cAvKAWqJlaFmRFomArwEet0G5ETqGYALAtYElHW6IyAdYB23AWsBOtB2LA046r///a+lDuSXNozPqIOfUMBBIQiQDNCBQDUBa7ehiITKEFBLLA3IA8AGuMJtKIKw5lC5IbiNP1lPrCuAKtYZCil2A2DgnvEr9WJlACuMLWmv6IvbULsBTCDlEHMQSIl5AvzEemJd2aESzgeCQA0JACFQeiL3dcI5fu+99wTVD8aWMXYbewN7BMAT6jyosQA5oNwDVIMijtsAH0jrBnwSS2PPZKyAvtwpAYF9UOIB+tBwxbRp0ywIA6hBqyDZ+0M77HlAGoBlsTTmGlCKTr9kb5u9FhCDeQJAhpIN48t+AaQDWMczwW6oO6GKNmvWrIAqY/b6wd4zhqwlVKNQWAIQA0wEsGLcgEJRY6uKATmhlITfub9oDR/xrOnY0avcyT7J/GMt4Wf2KUAW4CeAOyBWQE0MgIw6PCcAXbUBQAJCBtp3db1QryiBcT3aAkh0P09Qi2Pf52cCfM9a5ucA/K2Vj3QqRHzHs47x0Mb8Zt8Fjnv++ect9Tn9WaSvqBaylgCEmH/2tQRkxT7K/gU0BRjKswdwiT2Aecr+jtE/oCH2ELsCm1bmAn5mPdph3kj7Wtvqu38fMIBQbRvBBPS3odLzGNQhVzYZBaEEeN97yUgBoXmbVso6pSCkLRGAENc2kJAegfrx6qciFOzOcwtayobcdlKxuWGwauYz4wHjAeMB4wGbBwwgZHOGeVttHgAdGP7EP57rnbxXBzluUHwBDs9FE1Aw5Zc18tavazxXfkalwmkcRSqcW16bL/+udaqn7N49Tf57ZKbnGrW5YLJKH/SJSiPkZ9ccnSm7KgUhbRc/PVPyCp3B9h3aNbEgIl0nHq8Tvlyu0kF51Yv8rvX4OX2kTfMUv48iLlszY7QUrNv2TUG/BtJ3OFOlBhvu91FlWcG6H2TNjC0y8A2Tm1rKP8mN2zuUgFKadpbUZpmV54T7JpC60oMqBdp2KgXaN8pvE5X/3PakUkAC/ApmpJwj9ZzdaJO2q8PuUcDNTAXe2G0nlS7xJpU2MVxbpNbwrWotuw34LbugzFG8XWt1b2dEd2/zVxXI7W8udLTHwa0ndJfe2wVXmPKcVIMKUO5ijtmtulILjvl0qfw0L9t+aenctrHcd1r4gNjZY6dLWTlPx212gkqZOGxw+20FId5NW5wrD72/2FPrPqWe1jmEelqg+XflkV1lcPeWnjZNQf30gDsgEKkXDCAUqcdqfn0NHhBYIxDoZ1qJA+USAvAE60jvQwCYQDCBRh0wRDGH4CAQAyoasTQdmCZ9l9+3/UmBBRBEHwAEULoAcCAYT+CdgCeAgTYNnJACCKWUWBrgAcoRBNjtQU19DcAs4AVAIAAG1hYKTgSNCVYSZO/Tp49VHYUkgrbcN2l7YgldEBgnME3wlJQtfqb7hXIRPiMQfvTRR1vAECnpGGfdJ5RugJ+AB0hDFEvT4AHBc53Sxt4+gWmULwCZUGahb8xvQBbmBhCYXUkKuAWojPRiwAexNNLbEdAGUvMLOgMOAV4AtgESoWqBCg79Iy0V/bfDCkADwGTUdcNDVek3sADgCWMGeONnGhLEjwAFzEf8RrCdMvqtVTkAWQjaA438/PPPfs1FXQYAwLzTUJW7IXzJ+gb2eeihhyywAAiPPQGFHNISAbbo9QiIRXtAD4H2Pvc1wj1GGQxIkfnnhhlpA/CB/Ql1JuAX1jy+pf+owwCUsD9oIw0icBCQFupdsTQUy1Anwh9+piFBUrextvAfcChqM7vttpulvqbhFpRd6Df7AOpZVTWtRsXcB6TRhq8A6wCIWMdVUSpivqBEwzzQc0NfJ5zXmTNnWvs2ynbMQVR22MfdIB+gJapKPMcuuOACa+yZjzx/WC88g/Er6wnYEbiUfVQb+xv3jIqUfW/Qn4fzypjwzNZqbChDuecnc5LnK2m7gGaYmzxHef4DsnF/7JmMMwAR989zzm7Aj/ysQD1SP0Zj+BPlKKArxgYVIHfKQv0zgVYros/ATwCM7G3s66wdYFFU2hgX2rIb+wLPYcrdsKO9Xl177/59wABCdW2E43A/BhCKg1Or0GQkgJBbPYjLtlTpnbo2zpAWSU7KtwpdCvtUAwmF7apaXzESQKi0LNVSD8or3BYYqvUOMDdgPGA8YDxQDR4wgFA1ONlcwtcDfmoJR+2aIafv4/3WlG8DtbjwMRXI/s0VyEbdAZWHaOx+pZ7yjysFUS8V6P+fCvjXFfthbpaM+2yZ7+0MU0H0E1xB9Ke/Wi5fz/SCOhpG8W0oBoV3KoWjOT4KR35NMz6M0+aKEikrWqP+rZVS65X3+t9aS/mnSfpAvyYqyzYsGC85y4IHUlp0PEwyejv/qFXZwNY3FWX5Ulq4WlIUFNQwpYX74yodz1qhlGve8v6x97YTu0vPjs0kkPoSSksoLgUzP3isRZMkGX++N81GsHai/eymV+fJknVFjtP32LGlXHFEV0dZsIM1OSUq9eKcYFUqP0NRCWWlaAw1IlJJuS2cVG7uc2rS8V0qzddsV5qvfgrSujECSCva+3lGpTX8ypXWMCMtRak8bQnOhmq3QgUEznxyuqfaaep5iIpQuBZIHWq0UofaMYQ6FIAToJPbwoGL3OeY47rrAXdAINI7NYBQpB6rOfVJE0LwkcCiHZKghwT8UC4h+OdnBH0JBBNsp07Xrl2tb+mj3IBKAAFEgI3CwkJL+QBYgGC+PbWSX7uRluk0WwRPAyn+AN4AKKG2AlADGER6LFSCCDQSSAaGAMoh8E1APlD6oUj7Z6+v02xpUMn+mX6vFZEIfN54441WMcFMUqGwVoEXSE9EMJzUPkAj7qCzbqsqr6iHAFAQPHYHYGkXIATog7EGIiBojS+BRFA7Alhh/DkXeAeff/PNN5WKGFXpm/1cnWaLeQec4GfcA8Ftgt7MFxQ4CHKjkMM9Mv+B2whoAwYAuNDnWAeGCbwTUNegkl9fNaAGLECgGyOwjVIIoAE+JaiNygWwDfMi1iAT12ROMV6LFy8OmBIO2Ip1RCofVFAIxAMr4EMUPJirQCYodQCdkbLHL1Ue14vWuCbwlE4j6NcO6YIGDBhggR7AVOxrAAzAbUBZfEb/2csA2Ogj0IZbBcev7UjK8AvzNFh6Q9Y1ajD47rXXXrOaR3UIIJO9lH4yl1lzWh0l1iATF0WRiHmKv0h75WeouACKjRs3zlpLpPpCEYcygCbugbFhfgAxAo+xz1bVAETefPNNC6hytwWsBBAInMg+RLrIUIZfSVHHHsDar6rRByAZ9hkgU9rn3gGXAH1YN9oAb1ArA1bkPJ16jrXNXsEez3zkPc8r1JEAN2Nl9AdwDXAGUAbfslf7GXAO0A3PfZSV2Nt5DgCusT+xxpm7qCWxd7F3RAsCua+Pf+gn/c3MzLSgVLfKkT6HPjEHAOfsKnGsdYAfFK5QvQN+Zb6idsRcNybWzxgAccxZnjcGEDKzIqQH2C5275BjFIRCeqp6KoQLCPnBQbqHiVIR4voGEtKjULdfA6UZ87vrvE1plnpQeUWS38emzHjAeMB4wHgggAcMIBTAMaY47h64SgXC16qAuN3279taLjy4k72oTr4f9eJcWZVV7Li3XbulyTVHZTrKwj0Y+9lS+XGuU72iOtVTwu1ntPVWbCwSVJJKypzqGrQ3UKkGjVLqQW4LpKRxyt4d5Njd4qdSdemzszxqL6Qamrdqk7uLMvKwzrJj8UOyacPvns/sBRm9r5IWHb1S+PY6Ocvflg3znd+0LyhvJgXlrWWH7bsqBaB20rhlP2mWsY/9tGp9v2xDkdzw8jzPNa9W47ebGscXf1gpH09zKkQ1b5wkT10QGvJ557e18sbPqx1t8zfLFy8b4CiL14Ffmj/SJZI2MVwLlHrR73xSEZKSMBpjPV33kncc3Cpc0bSdyHOuV3NruZpjdturZyu57D/ONBv2z2P1/uUfV8mHf65zNBfu3OWkQOm9RhywvRzav42j3WAHC9dskv+9vsBT5ebju0nfTsHTcE9RqnZvKXU7t026pL9K7+0fAHDXNcd13wMGEKr7Y+x3hwSXAQsIigPXAKbYjWAkCg0oMRxyyCH2jyrf64ChHc4gSAy0QPCNb+ijIkS6LIKPQESRGgAHQdGXXnrJCriiWHHbbbdVpgkhsEkAm6AmgA+BaT9DYYFgoT29CcFZAoZAQYAGQA2ovBBwJ31SpEZQF4UQVGJIs0IwnPvWfSIAjMICQWMUIvyMwBwBWHyH6pFOK/bLL79YkAApVLhnoAb6jopQpEbgD+gAoIZr9O7d2wr82oPDqFgQ5AVqAfrxMxQkCKgDXwE2YLQN5AIEwdwiiAzUQACZVECRGtARAALjxtyiDVQ17KAB6imkkAH+0aol7utoOMsOZ5DKBwgL2IAUX4wTc5kx0+pH7naCHTM2zPt33nnHCkAT+GddEYzGUI8ivQ3wFYCPXyCe4DYqQoAZ3I8GHABaWKf4HNUQQAKC2yh/RGOAMIwt8BxtAXOMGjWqct5zH6hojB492ir3u4YGr4AJUbzRBlzFeQAC3CPzgzUVjcIJYAD9BEJgvFDQAmoEANCGGhjKKvwDnvIzDWexZhhfjLXGe4AWYEnG/IQTTrDGTK87v7YClTG++A2wBzAKaI729RhyDXzFHGUc7ami7G0CZwERAjIAL2CkxGP8gR5Q6wLAY/8GHInGaJt1BURDn9jjgRI1FKXTL7EnoAbnZ+xRzGfOYX5qxTigMdYowB37AffAcaDniF/bwcp0erFA6Qq1whD+B6TyW2f29lmv7HHsg6yHqhggFAAX12ZfSUvb8oV31HlYY8wx1rZ9fwFGQ0mIfYznsgYy2efZS5lD7E8c28HBqvSTPWT48OHWvs2zhPWl1emCtaufo4ynHUwDwuO5DMADYEJf8atd8SpYu8E+A5Kir6wvXlHNat48+O8/OqUYY4/veR5rA9YCNqIOcxaIjb3bmAGEzByIwgMWINReAULJG6Rwc6mjheyibCkpdwYHHBXMQcw9EA4gFAwOokOJBIS4/gL1zdY1xVm8NVaHPRCuilBOfrqsV+nFjBkPGA8YDxgPROYBAwhF5i9TO3YeuPX1+bJojTMt1iCVFuuqIzNjd5Ea2FJp+WYZMdb7hwVSq5FiLRp7UaXe+tiVeqs61VOi6XMk59yhVHnm+qjykHrprlN6BEw/5adS1V2paNyh1DRiaRXlhZbiT0H+Kpn85V/SKiVLWqVmySerjpGc0laCwpFf4P2kPTvIXk0nSMHa74N2Jz3zDEnf4aygdUoKlsinU7+RacsbS3ZpumSXpEtxRaOI0xwFvUgVP8wqKJXLnp3taQUoEDiwKqDbF9M3yHPfrPC0DVwEqBFvO3f8DCkurXBcJtI1XaH4tzOf9KZedDS69aBPp2Zyy/Hd/T4KWQaYCaDptiuO6CJ77OgfLHXXrYnHfnDeYQPayNn7hw9pRXtfbyu45k0XXIPqFepX4Vj2pjK59JlZnqoXHdJZ9uuT7ikPVBAIwht1TKYMzAyutDtGgaY/uUDTjLRUpYIUnbJdoD6a8trtAQMI1e7xi7T3KP8QyAO6AVwgcI5ygtv4tj2BTqCeYMFsgv+kDkHJxZ2KBbiDMg3IuK8R6pgANAAKgTxUfkjBQ7AQeIdgNkADRjorAv8EzIGT/IxzUTUCAAAUshtBbILNKB/o4Kz983Deo6iAMkSLFi0sNROACQAZVGsIWOt0N8BS1A0GXun0TQRbCRzbDRUK7sUe8LR/Hs57oBhSq/Xs2dOCq4AOAKToI9AQfgCeAsYi+I/PdaDb3T6KEQBWgFzuoC2ppYB6ooEtuA5wCGnZCN6iEAPQoQP4QCJAKIwXsAuB42DgFfcHSEYQnv66jf6jbsV+GI2hogUIxXzHj/SZVGK0CTSi09Vp8I51Fwi8ArBgLpHGjYC83fAnfa1KSjEUiW666SZrbTPGjD/wDQpbzDnWCf4C/gBq4d4CzTegFSAG5ogGYXR/GT/Ahvbtw0+rqs/lFYgBGATVL+AixhrlJ+ADVFRIGcb8BAxinqAoAljjB4QAXgGXoXgHeOW2NWvWWPPXDm646wQ7BpZir+Ke2ROBGUglRntAaVr1BaiCFEvBwCt8CVSDb92qaNw7ey2Qkd99Buuj/kyn5WOds8fjP/ZqQDHGH7iF6wCysbcDNjJP/Ozee++1gCqAN7eiC+sVVRl3uiq/diIpQ+0Hv6BwBYTnZ/gbyIm5iVJUMGOfAmBk3PQ6DVY/2GeAiDxbgVXd81732w6p6raA/YB0gPJQjLMbezHzBqiT+wUiioUBQ6Jq5Td2gdpnfjM3gf84zw398dwDWmONBZvjgdr3K2cdDR48WHr16iWAsuEaoB6KZijdAWHZ1wv7G+AbeyHPVPbUQM+4cK9XF+q5fx8wCkJ1YVTjfA8GEIqzgyNsPhQgFAoO4nKkGeui0oylJSDNGNc3KkJ4oe5bOIBQUXET2ZjXVn3zsmndd4i5Q+MB4wHjgRh7wABCMXaoaS5sD9z37iKZvjTfUb/P9iroPSy6oLejoRp88O/aQksNx93FS5XKxd5K7SIae/f3tfL6VKd6Cu2gnoKKSm02v9RR+n5CKZ5M+HKZfDvL+4WCh8/sJR1aNdLNRPW6bs4jUpK/SMqK10h5Sa5vG88vvkAW5PeUK1WaqRcUxJWV7/yizAE7tZZhXT+SnKVTfM9PatTaSvXVvP0hkrb90b517IUPvv+v/LU4z16kUnc1ldtOjC0Q5bhABAdlCo472weO02mU/PaE3ioF261hpMr7ZUG2PP7xUk9vHlJj3bGKY+1p1FVQqpStRozzQn9n7NtRjhwYfnoomj3/qRnqdxonaOS6nHW4c9cWct2xO/h9FLIsEKg18tDOsm/v8GGUkBeq5gpnjVFKCVBWNjtBwXnDXOkHbR/H7C2AJqCm254b2U9Skxu6iz3HgdLLkaKOVHXh2tpcBX8974W/Lj+8i+zZI/jzxQ/a7d+ludxwXLdwL2/q1QMPuAMCkd6ySTEWqccSVx9o4ZxzzrFUY1CpeOKJJyyli0A9IlgJ3GBPd+WuC2gCcELgLlAQ2X1OuMeohACEAAig7oABCABWENDX/QKaIHAK1ETQGAUeP0NphEA+Qe9Y2urVqy2YAgAB9SBUCYCO8A2BXYAmoBSCnLNmzbIC78Aq3Avrx21AGZmZmVZwE5ggloa6C3MAQASVICwvL89KX4MKECoSBKABnbg2/Q+mWqHbQ5Xh4IMPjmVXrfsH/sF3wAoYSiVASSiq2PuFUgUgg0535dcR7pt71MpGfnWiKSPYTBogQDjmqg40E9AHZAJ0AVY4/PDDLbgDAAOYirntl3KP+ow/wALKWbE0FGNYVwAUrG0MRRpgFMA01DSoAzyIghhAkz3dlbsvwEXcFyn5gLRiaewr7FEE+kmthgEmMP6osAAP4WMC/1ybuaLTXfn1A9UT7hmVFz+/+50TbhkwFTAUijWANxhQAoAC60v3i/eoHDFnUDZhnP2M9gDrgAljaawfYDtgNsZXq70ApaAYpucwkBjXBmhk7QFe+aXcA94ALEPlBkgzVsazirWMqhsQkx0Ewsf0nzRoqMn4md6TSScHrKOVkajLHqxTTLLPxdJ4ZgLhAp64jTkLUONW36Ee4A2AFfsavtb7nb0NnrGoMsVqnbEOeFYC3rDm3YCv/dr298xb1KCAh1HNc0N1wHjsJcxh5kYsjPnJWAOwAjaFa2effbal5AScdeWVV3pOA+QDGGavcd+Hp3I9KHD/PmAAoXow6LG4xcFGQSgWboxJG6EAoXmbVsq6kpyQ10q0ipCBhEIOUa2vEE6aMaMeVOuH2dyA8YDxQAI9YAChBDq/nl/6iU+Xys/zsh1e6Ny2sdx3Wk9HWV07+H5Oloz/fJnntu5V991F3X809tXMDfLMVys8p449r6+0bJrsKa8tBT/MzZJxn3l9Rf8J+hP8D2Z//Jsrj3yw2FNFAyn6g4rSXCktWqNUgNZaSkBpnY5Vf0AO7rcVf1whxbnBg0bvrjxRft+4h9x7Wg9L3cadZqxf5+ZyxT4rpWDdj1YKsOTG7S0giFf+NWiYorsY1quf0lJVQJKwLhphpfMUAFPkAmCO2S1DTt27o9z06jxZsq7I0eJgBUcAWIWymcvz5Z63F3mq3a7ScPVQ6bjiaYGAm0jVX+jjlZNmy/o8J0jm1/dBKiXhVUdl+n0UsixQKrPzD+okByporTbapmIlpT9hpqfrI5R60KFKRSje9s2sjTLxy+Wey4w7v6+kNQm+l3BSVZR/7BfNUUpEl0SpRHTBhBmyqdgJp+E7fGjMeEB7wB0Q0OXhvhpAKFxPJb6eVg457bTTLFWbUD0CVCHIhwrElClTfNOF6GAtQXxAglgZQVYUGAjqEXy2GwoaACEEOFFjQBUINQOAAZRO6FNGhhfmBYgB2iEdSqD0PvbrhPseNSBUKgiouxUVgFsAGgj2E4RF+QOFBRRkUImZPHmy72XwO4osBMljaagsEYAmEG1XVABouvrqq61+ocZCehwNXhFERQWJeeM2AtYAL/g12nRX7jb1Mb4CZgE+sRvzEdgLiAAVmZEjR1oqNwA1BPzxM2mT3KbnP32OpaoJQXLgKICLY4891nFZPmNdAFcAXgGR3XfffYLSCMoWKHj4qVYBQACcoO4SS0M9DPBLp/+zt637BTQAQMGzAXUxgABSpfmls9IKQQTYAfZiaYAhrGdSFdkNmILUeozztddea6m/AA4BkTCPSZ/FnHSbVhRhf4gVuMA1UIpiXPHrRRdd5LjsnDlzLJgCPwGnkRqPPYvUXQCV7Bl+YAIAF/cH0BhLIwUiPgOSdKtCAUqgWAUcBOgGLHTyyScLqSRRuGF++Bl7LdAGMFdVDTgOAJRr2g3QA8UXfMW+BGyJb5ibKKH5GWpyzEk3VIIqG/AW98N9xdIAv4Cw7ECTbh+VOmAc1j57rdtQ6gO8QR3MD7xx14/FMT5FPQk4DOCS9QNohwoS/gVuxV9ATXaYCgUnoBvmKXXjbax51N+YHwBf9IUyng3soQBhpEpj/dkVEfkZhrHgmc96ijXEHO/7ru723b8PGECoukegll7PAEI1Z+BCAUJZZQVSqNK+rSvNkfyywoAdTzQgRMeWl2TJyuINUloe+g+pAW/EfFCjPRBMRaiopIlk5bVRf8xsVqPvwXTOeMB4wHigpnrAAEI1dWTqfr9IB0RaILu1bp4iT5zTx15U596//OMq+fDPdc77aiAy+dIBojLSRGW/L8qRRz9c4jn3/jN6SqfW0UFHnsaquWDlxmK5+bUBqux6AABAAElEQVT5UlLmDFjTjYGZLWTUMTuE1SO7IksD2Sx7t/1OMlvlya6diiqBoIqyTY62Ou/xtKQ07ewocx+smXm3Sg32nbvYcfzJ6qPlx/X7y7NKReTpr5Z70ve0b5Uqj5y55VvujhOjPLjxlXmydL0TsEE1BPWQmmL/Veom65TKid2AUoBTLnt2lmQVlNk/kkP6t5FzDggNKHDf3L/bQqlMuetHcxwI7ojm2jepe1jiGkO/Pu2l1MYuU6pj0Rip0EiJ5raz999ODhvQ1l1cK44DKfBcpub+XiGUc2Jxg7/MVwpWnyz1NPXIWb2lfctUT7m7YMHqTXLbGwvcxXLzsG7Sd/vmnvJABahPsee5LRQola3WHSna3HbWftvJf3aunXPCfS/mODYecAcEIm3VAEKReixx9QmsokxAoPKvv/6yVEJC9YZAJZAG84Rgtlby0edpBRnUEVDFiZXpNDt+aZa4BnAIgUACmgT86ZdOd4MSA9COW50HNQ/u2y/FUFX6ra8byAdaZYkAJoorpO/Bp/jWruSj+8DnwDEANwSTY2kACsBXpIJxG9cFcEGFSYMXAA6kTiINC0F7t7IFQVdgnS+//NLzmbv9SI5RiALyIZDu5wOgDO6F9EBAWKiiAAKg2IMKEpCIO7UdEAvKFgBmsTRSAwEaBPKBXiM6XR9qJkBjQAoo9BCct8Na9A1ADNgMkCyWRrAfpaVAPkBlif6iUkLwndQ7gEyMB6mptJKP7pMGxFDyQZUsVsZehcoP4ImfDwj4M/5Agi+//LKVGgoVK+AS4C9gLDcEhp9RIgEmcO8NVek38w9gKZAP6Aupq1CzYd0BPgLiAORQzpx0Q2IAYkCMwA+xNH1dUoqhdOY2QBBAHwBMwCwAC9Y/SkGAIAAhdiM1HYpJqLug6FNVYz0AcgGgAHyi9gMEiNqaVjUCttRp+IAC3TCR7gMQHHsIfWYP1sY6BXhk3w6k4KTrxvIVBSCeWX4gob6OTkMGEAXMFW9jXwegwVdAwKhA8YxE4Yz9CjiU5wVAFutLQ0KsT6BI5nOs4eBA98x8ZH1feumlVpoz4GH2AaAx9lTuARUk9i17WjnWH0pYQHw8f/3mfaBr1rdy9+8DBhCqbzMgyvsFEEpNLZD1FZukdHN5ZSvZRdlSomAUY9XngVCAkO5JKFAo0WnG6OfacjWnSvMkvzTfQEJ64OrYazBAKKeglWzIaafCPVFG1OqYr8ztGA8YDxgPROoBAwhF6jFTP1YeeP3n1fLub2sdzTVKaSjPXtzPUVbXDh5471/5e0me47Y6t1HKSaf7f6PNUTHAwdyVBYJ6jNtI10battpofmo43EerZsly1yk9JL3ZNnWdcvWFgbLi9dKoRQ/PrY7/Ypl8P3tbmrFre98pacn+KcH0yR12vluath6kD31fNy56xgKEtNoPr98vTJZflzSS7NJ0yS5Jt34+1dAbKeBIBWe3JEWEvXBpf3tRld4Hg2+q1HAMT75FQV+k2bPboO4t5aoju4pfiqhwlKJoK7CKTyfZr098VXFmr8iXu97yfmv3thO7qxRvka2/u95aKLNXFNjd4/t+vz7pgkJRNFahAqRnPjndc+rp+3SUo3b1qih4KtbAgkCAzY1DuwlKXfE29nT2drfdc2oP6ZrRxF3sOQ6kgHXHyTtK9/bhK2CRYe3MJ//xtO9WTXNXYM4x99xGGjtUyIwZD2gPuAMCujzcVwMIheupmlFPK/4AKAA2YAT7CP4DDhA43n///S21GA1YkB4JcICg4fjx463ALeeRqongMQE3vtUfSyPwTLoj+kkw1880eKGD2dQhwEwAlpRPgAMElTECysARKHcEUsKwKkbxP92PQIAATRKkxo9aqYHAJsFtVBoIeqJuQ5CT9CzXXXed5WcC34xFtEbAtG1bJxBK4BnoAMBGB3vt7TP+e+21l6xdu9YCqYC+CLASrAdiAATgXjDgHHy/bt06SzUjltAFsBLjT/A6ECQByIQ6DzAN8xrIBpUofEzgn/RcWkkGpRGgLALFgBmxNNRWaDsYJKHT9WmlHdQvUGoiGM+5zHEAEoC3Bx54wFLNmjRpkjVnY9lXDYCgcoKP3FZYWGjNOcAMxh3/s7YZZ0ABFIiAtvA1dVHBArjjPnRqLXeb0R6Tios1wdj5GRAh64N0aFyffUirRJGaCvBmyJAh1qkALuxVQHoAPbE0nWZr1KhRMnr0aN+mmZPMTdYOoA17LkAV0CVAI0pi3AemFYYAWADeYmlaVYexBfpwG+sOCAyQgv2KuYnaGHsV+wmp6LhH9gLUXHgusE/x7ADMq4oBe9GGOwUX10G9inULCIgSE/AUcBUgIOsFaMTPgFhYa8CYiTZgV8Z02bJlvnsv/WNeoCKEmhDADun74m0AU1r5LD093ZqnwKn4GN+hLARwi4/xtTbgIZ4VrFHWH+fG2xhz1gzPSfYH4FH2Jq0cBtjIvkR/7Cpyev8FKgLCMubvAffvAwYQ8veTKXV5AECodeNSWV6WK4Wbt6m9GEDI5ahqOAwXENJdCQYKJVpFaJOaSxvLCyVXffPXQEJ6xOrOa2pSqjRLaSYpSduCQPruSsoaKfWg1pJfmKaLzKvxgPGA8YDxQIQeMIBQhA4z1WPmgY+mrZOXfljlaW/SJf3Vc7/ugr9XqBRCG1wphKqiBoIDV2YVy7UvetNdkZqJFE21zV78fqV8/Nf6ym43bFAhnZoslVapWXK04mnaN82xUoFtSQu2RjZv/bJJ5n7vSMMkZzDera50QbcnpUvTJZVt+71p2+sKSdvuKL+Pgpbd/uYCmb/KqUbUt1Nzufn4bvLVzI0qDZw3BdHjSjGrjVLOioVdNHGmkD7KbkcNzJDT9+1oL0ro+/ve/VemL3UCcr0VxHbVkZlC/902QqkHHapUhEJZaflmGTHWB3pR944P4mm/LcyRxz7yzqkHh/eS7dK937gN1pdHP1wsvy8KDrBx/sH92si5B4ZWVgp0LT8Y68Q9O8jxu7cLdEqNLp+2OFceen+xp4/hAjqeEyMsmLeqQEa/6QVsbj2hu/TeLjQk9qdKh/jwB97+36/A0U4KII3EWAesB7sNU+kYT1BpGQPZ12p/QuXMbeEqILnPM8d11wPugECkd2oAoUg9lvj6KOnwrf9PPvnECgAS2CYIbDfSWxFIB9LASDlFcJj0ToAF/CP9UVpamgUSUD9SAzgg1Q2Ah5+hELJgwQILZgn0rX+C7KTMQt2AYDCKCEAMTz75pAUx0DbBRAKGwASoEESbXoy2SSGjwSndZ0ApQCT6AiTkZwTX6QuBdZSGgHMIiJMSBRUeVBCAMVDsQeEEBQ38HY0RIEWZCHAJuEKPIW0BohAk5dUvZRh1dMo0ewo0UrgBV6EogzILik2oeqDYAHwVbcomAtAEmnv06GEFmrm+NlLHAQDwuRt00nVQLQGumDhxoqUaQaCYQDz/AAsAxdij8AP+Z64AukVjjBdtAk1x39rwNz4hJRZ+8jPmDSlyAMMAbqgPWEXQHcCCfRhgA3CLf4AhwATRGgAQPkOtxm5ci7RRBNb90hxRF6UT1hJqUfgfw3+AAqxH2sWX1GMNkwaP+tGY3gNYP+5UW8w3YBkAJFIz+RlrHYUZewo0IEaUgphbpJ8CFgJgQREFMMYv/aBf2+4y1iXgIuAB69huzAnmFcpmfgZ4w37G2gdWYV6SdgzFFvYMUjkxf5gfAEeMEQCnW1nKr22/MvYR9hj72qceii/sgygJsUb8jDFmL8Jf1OdeAcaAL5m77H+koWNcUBhCuQuQs6oGCIhiFPsPkIzdWNfAH+zfWt2KtHLcC88kzgEAcxuKPQAszPtEG31hjgcCHnX/2O9QceIZ4F4Tuk6sX/Epezt7qXvOsOcB1jE3mRs887VRn8/5maI6DN8wN3luknqUdWM3fk4BguW5ALCpjX2GPvKzDvuwMX8PuH8fMICQv59MqcsDBhByOSSBh5ECQrqrfqBQogEh+oaKUE5FkeSV5ElhaaHurnmt5R4IBgdxa3mbWsqG3Awpr0iq5Xdqum88YDxgPJA4DxhAKHG+r+9X/nbWRpnwpTcg+eS5fRzqMHXJTwXF5XLhBC8EcZIKzA+tQmAeKMQPriA1EymaapP9ODdLxn62zNHlhg3KZfRONzjK/A46DZ4gqc26Oj4iTH6+SqdUpNIqYSd1fkkGtPxLyiVZGjftICj/pKh/W5SA2lmvqc0ypWFy6KC+1aDtfyOfniW5hc4UWQf1ay3nHdjJgmKAY9z2PwUQ9AoDIHCf53fsB32coMAAVHhqio35dKn8NC/b0R0ACGA2P8jtClW+R5iQ23kqtVKRSrFkt2N3ayen7L3lW7b28li+DwRXjDu/r6Q1cQYFQl33KaV49Z1N8SpQ/cN3aStnDtku0Mchy8+zrQld+Ti1B52s9qLaaN/PyZLxnzv3De6DlJWoeMXbAqW4G3VMpkqJuO2P44H68bNKUfaET4qyx87uLRlpqYFO8y2/UIF2BS5Q8OhdMwQVoUD2ikp9+YEr9WWsFc4CXduU1y4PuAMCkfbeAEKReizx9UkXRIAfUAbFGALBACWkEiouLpZHHnnECszzDX0gEB2kRlWGb99PmzbNUpjh2/xAA9HAQXgBRQgC/KgluEEGPieATRCQfwTS/UwHDAlgfqMUZbQBLxBknT17thXgPvPMMy21i2gCroBQABWoamCAHPjIDsXgOyAkQIR+/frpbjheSX0ClHH77bdbKbz4kMA3IAABbsAA0qCgyoHSTTRG0J5AKKmfCNqjXGIP6KJewbgCNAB9uAOs+pooSqAsQR1gBgw4AmiFMtLUoW5x4YUXVn6uzw3nFWAGNR3UngA5AG5oD7BLzwUUdABo3MoV9vYBrxh71HcYa20AMoAjgA2AXag04RfSVkVqtEFf8QfjxZ7JfETpSYMiqFORMgwQ4QCltuJnOkXOyJEjrb7pOoBcKHgBy3Xp0sVSmQEQ0etO1wvnFdUXxoi2MIL9pFfSSiR5eXkWNAM0AezhpyLFeQTgAVc0eEcZIBQ+Ra0JoBA4g/EnYB+poZTC2gcAAvDgXgFogHuADzGduov0XdTzM+YR65C5SZ8YG4z3KIUB7HDPjA97VTQqR4BhqNowtvSbNUNb7Ev4ESPFHOsYWAbIxc8AgwBf2DdRt9IGtMZ5QD2osAA4MF+jARlpC4Uf9iKMdFwPPvhgJcADqIRKD2APddxp2HSfAKwALDR4Rzn3zp4KBAcoQgo8oCHmQSwMxZyzzjorYAou9gkgINY2UBpp2NjnUTnCVzxP9DynP+ynzCnmKABZIo1nJ2AZ+xsqUnbDrwC7jHmiDPiHvSDQnNMgHnOY50cijWcbQKmfMb/ZQwEDgQGNReYB9+8DBhCKzH/1trYBhGrO0EcLCOk7sINCHVLTpX1qYr+ZbAAhPTJ16zVYajHuNDs/XQFCtfNbrnVrpMzdGA8YD9RmDxhAqDaPXu3uOyoZqGW47f4zlGJC68gUE9xt1NTjQKnArjqqqwzqVrWfp4ertDLq79AOO3HP9koRJNFwyGal9rPWofijj8uK1kiFUgLtus9rVr9RQiIFVfFWmMd+MzftdI80aZBlL/K87zDgTmnaxiuBPvazpfLj3C1QSsuUbKnY3FDyytIkmuC756JbCwJBWjq1zyp1b6N8VJ5GHtZZ9u1VdZntkrIKOWfcDE/3gEiASWqKPf/dCvns7w2O7rRsmiyAQHdWMU1eolKsvf/HWnn1p9WOe+Jg8qX9VRCrgac8WMGLPyj1rGnb1LMC1T1mtww5de/AwEeg83T5xU/PlLxCp9rUkUpp6YwapDal+xrOayBFuudG9pPU5G3f3A+nrWjqrMstEeaf2y77TxdBIS6UBQJmx57XV1gfkdjlz82WjfmljlMOHdBGRuy/RdnD8cHWAz/lqu1bN5IHzvD/Fr5fG6asfnjAHRCI9K4NIBSpx2pGfdLcADgQPCWQ7lboIUjNt/F1IDYevUZRgQAvqZbefvttzyUICAN/EOAHfOnUqZOnDgUANfR1xYoVDhjGt3KEhcAbBMFJ/0MqE64BKIJaCApMgFaYTt1GuiCC9H5wB0oLwA/cU6zTHBEYJaAPwMWaJNUSUISfAbsAjdhVV9z1dNosIC3URmJp9BV4iQAu8AfqMPgSEAugARgEEIDAORACAeFg4JVOm0XKqWhhtUD3B1AF8JOUlGQpFNEn5irqJSi+MD8AmoCT6CtKOMzpQOAVwXU+Yz7H2gCQAOHoFxAKfaIMpRrWOVAb81Kn4QoGXum0WahYoWQSa0PhgxSAqFSRBo65gFoR62rcuHFWOdcEAmFtAV8FAlF02izAFdZfLA14ibnI6+mnn24pujD+wDzMW4As5hzqQqxr+h8MvGKvQ0WIfcRvj6hK3wEYAfuAI1j7gE3s3/SddQbsAwACjAIsFwy8AhgBIgRUC5TisSp99TsXcBWIBsAKYMrPgPVIa8U6A1RkXTLH2aNRiQEwYs6wbnnG8XlVVKO0ohcAaFUM2A7ojpSSGoCkPUAr0nmh1MS4kDIxWmP+s7/oVHXRtuN3HoAsPycA8wKx1mRj3vKPVGTGIvOA+/cBAwhF5r96W9sAQjVn6KsKCOk7ARRq1DBZmjZspIsS8moAoYS4Pa4XDaUeVFzaWDbmtpFNxc3j2g/TuPGA8YDxQF33gAGE6voI19z7m7OywBcIiKWiSk27+y+mb5Dnvlnh6dbDZ/aSDq2q9vP0Jc/MkpxNTvWa/+zcVs7aL3qVEU9HIywoK14nS6cOV195Dn5i5pC3lWJPU2s+MC/c1qpZslw/YKKU5c2q/KhhcpOtqj9K/aeRUv5p0l6atd1HUpp47/fXBTnyfx8vqTxXv4klPLNwzSb53+sLdNOVrxr+CpQCq6rqUfpCjD1zwG0XHtxJ9u8b+Teg3e3E6vitX9fIlF/WOJpDqQSQwm+MABQAFcIx4LJ/1zrVZAd1T7PSl4VzfrR1/NRXmjZqKBMv7Bdxk28r/7zp8o9fI6hCoQ4VrUUDkUR7reo477Wpq+W939c6LtU4paE8c3HkY+BoJMyDQIDgeQdtLwftFFrF7bN/1svz3670XI3+cx+RGCAiQKLd9uuTLhcd0tle5Hh/3UtzZcVG5zmDuqm1c1Smo545MB5wBwQi9YgBhCL1WM2oD6QBpBIoIEmQm2C7W+0kVr0nmI3aA9APajQE+YEY3KYDq9QFAvILqqNyQrosAsVAPLEywATUKQikAy1oiAqwAQURAtU6BRPXpA/0BQCDgLWfESQmaE86l0AQid95wcpQ0QG4Qd0BiAIQwJ0mxn5+Tk6OpXKEWhTgDcF2tzE/CNajwGFXO3HXi+ZYpzlDccWemgj1mOuvv97yM0F9lIsIeg8dOtRSqQG88lO4AMgBNkOhiVQ5sTTSxhG8Z74Cd2GAa4wjoAgwDnATSjLANPgeNa6bb77Zquv+H8osgDrAG9GoGbnb08f0CeUMICXmoFY2AvQBFgFEIL0O6jIoKpEiCviB+Ysilp+hDISqSKwD7TqVFDAb6e60AVuRVgwI64MPPrDmHio3zEEgHAAyABy3oRaEalcwpTH3OeEe0x/6BRSoYUBAP3zJPGbtfKOUy1D+0YpnAIsoxfgZ+wjnxgO0QAkORSD6ynMZY29ljeFH4DHWGCpYQG/Ma/bUI444wq+r1rMB36LYEwvjuvSNdY/yE0pG7PnAHNpI/0SfuWagVHAaCARyBK7BUJLjWcUc0Yay1KRJk3z3N10n2CvrGlCWPYfxqgp4A5SJQhLrURsQFPeCofoV6Jmh6wd7Zb9BLQ6FKp6Dfs/JYOcH+4xngU7LhXqgPb1isPMi/YznEfOT9WNXvYukHZ5n/AzAPsuzxFhkHnD/PmAAocj8V29rd2lRKN1aFsr6zdlSuHnbN5qyi7KlpLyk3volETceK0AoEX33u6YGhErLSyW/NF94NVZ7PRAKDuLOcgtaWenF+Aa4MeMB4wHjAeOB6D1gAKHofWfOrJoHlm0okhte3vaHD93a1Udnym47hE7JouvXptdJ366Qz/9xqqc0UsHfZ2MQxL5e+XK58qndUK4AvKiKbd5cZqn/oPbDv1Lrda36Y1KSZPT2T+FQeb3NFbLoG/8/JFbWUW86DR4vr//ZSD7+a729uPL9NWpO9E6bK5sriitTgSWltKz8PNSbiorNQvqpkjInqdRn+2Zyy7DuoU4P63O/1GiceP/pShFLpdDCLlPKHlkuZY8DdmotFxzUyfq8Kv9bnV0s10zekiLA3g6puwaHmaLLfl683gcCIU7Zq4MAebht/AV9pUXj8BRU7lcp3P5ZmudoordK33arSuMWT5uoUiV+o1Im2q1dy1R59Kze9qKw3n/693p54TsvKOI+mbRppE+L1q5+YY6syXH+DSZWczHaPlXlvKe/Wi6kerNb27QU+b+z+9iL4va+TO0xZ4+Z7mn/dKXIdJRSZgplgVSoXrxsgNprQ53t/PymV+fLknVOUG7PHi3l8sO7OivajvzSE4ZKS2Y73bytRx5wBwQivXUDCEXqsdpRX6s5oPSBMk0sDQBgyJAhlorGd999Z71H/YHgnjt1CEFlVDf4jIAfgT+3EegGjAEmAuiIlZHyBbUPlCo0HKTb1jDQH3/8Ib17b/nZgGA6UBX3guIJAJHbADTwJ4ojOojvrhPpMcACkAeqNiib2BUqArWlwSv8zRj4BWRpk5RMpD+LpQHXAICgouI2oBsgH2AX+gUkwDgQ9B6hUvOgCuI21EIYA/zKfI2lAbABiU2YMMHTLHAD8BQAGSAC6frwGWuHlGF+8B0BcNKTMU6dOweGfD0XC1GgISm/NYCCDOsDiEKnjAK8Qr2nXbt2lkKPX+otVIhWrVplzf8Ql4/oY52+in65gS9ALPzGfETFCkiNtHzAX0cddZSlsuKGHwALgK1QRCMVUiwNSAowBKjJbfo+UJcBymJfY/0DgdjhFft5rCWUiADgAoFZ9vrhvmftA9T5rQFSw7GHolqFGhQgG/sWMAn7GusM1SG3Mb8//fRTCyRzfxbNMbAV6mCkA2RfJy0cKR9JgQaIg+l9iTXvt+aog6IcYBaKTcxjbbSJH0ivByBZ1VRYY8eOrUwFCXTCHhTKAP8AlVBns6egRLGJ+cwaJN0YvgDQBdQDmPKDNENdy/45KSk1yOc3B+x19Xt8B5gLuKRT5enP9CvPFsAlQDJSuKEoFS9j/bK/cz0g20iNsQd2QzENNTmgPWORecD9+4ABhCLzX72t3SipQgZm5Ep+0kYDCCV4FtRVQAi35pXkSWGp8w9iCXa3uXwEHggHDqI5k14sAqeaqsYDxgPGA0E8YAChIM4xH8XVA1kFpXLZs7M910DlALWDumh3vbVQZq9wKuR0b99U7jjZ+23cSO/fr+1+nZvLjUO7RdqUlG5aJuvmPLIFDCp2Ak26sYYpzSRz37f0YcDXpVPPVO04lT2o3DClhaQ0Vuo/jdvJ4gbD5PGvnPCObvB4pZRyYhWUUnQ7T366VKbO25JmTJfx+vg5faRN8xR7UVTvpyjll7d8lF+ev6S/JCdtifCPfnOBzFu1ydF+tGPkaEQdoJyDgo7bbjhuB+nfpYW7OGHHP6kxGKPGwm379k6XH+ZkOYobqu8BTL50gKMs2MEYlUrup62p5HS96kiT9OhHi+X3hbn6ktZrt/ZN5M6TezjKwjn4YW6WjPtsWciqw1XquCOqkDrODyjcp1crueSwqgGFITsepwqPfrREjUGOo/Ud2jWRu06JfAwcjURwMGLcdCl1QYjhKj2hqoW6lt1SkxvIcyP724vCeu+3zwxU0O2oozN9zwcUAxhz2/kKXDxQAYzGjAfsHnAHBOyfhfPeAELheCn2dQj6kq4EZQ3GMNaGagbf5EclAxgmlkZA9PLLL69McaWD5qgUEOR0K+uQ7gbFC+4XZQ76ZTfgDNIlAfPY1SjsdaJ5T7CRlD0EfN2m0/S88MILcsIJJ1R+TOAfxRuCkx9++KEVtK/8UL1BzQWQCKgploaKCQAF8AEQSDimU42hvvPKK6841FkI3pNCCUgAqCmWRgogfGBX07C3z/UeeOABC2BgbqCOQ4AeVSsAEALJdkPpgzFAnWTPPfe0f1Sl9/gAcAYfEEh3G2AK/QK20ApYKLUAYwCxABS4ITHStXFPQE2xND0fAay4vttINwYkBMSCGgr7hk41BsjAeXbFFu6N9bjPPvsEBDXc1wj3mDRQADesaz81Eg1RodiDihcKJqwp5jhgBUo99vMAXwAOUfYCaoqlAVCxPgC+3FZRUWHBYUA0Gk5iXuNn5g7wGGvSbgA69D+WgCDt6/WP71AKchswHmOJz1knwEncEwo8wCkATigQaePeuA/AK+ZrVQ3VrFtvvVVIVcXez/pgDrBvo2imFV+AfBhL1hGKYYFSxvEMoF8AbG54s6p91eejRsRaAjSaPn26pfwF3BjI2EOvuuoqadu2rQUMoi6mDXUrxv3aa6+1QBvgON6zB2u1L103mtdbbrnFSsvGcwcAib6zf/sZPztQn7nCM47nhR2mQWEMBSfA2CeeeMKCrh566KGYw5e6byiZMYbMQ+YB8yMQsKTP0a/cC0AYey33w3k8d2t6GjTd/5r26v59wABCNW2Eamh/1N/3ZFCHHNmUtMEAQgkeIwMIJXgAzOUDeqBpSlNpnuqVAbWfUFTSRKUXayuFJVtkMO2fmffGA8YDxgPGA5F5wABCkfnL1I6dB0rKKuSccTM8DZ4xpKMcuUtoxQXPibWg4OKnZ0peYbmjp/v3TZcLD676t0IfVym0flGptOzWtW1jufvkLltVf1AAUso/SY2kRYdD7dU876kH2BPKModMUanBgv/clvXvC1JRUbQFBmoEELQFCmqY3MxqfqVKhQPYUlxa4bncLpkt5NpjdvCUR1Pw8/xseeITL5hCCjZSsVXV/OCUjLRUeezsLd8Up32/Ou1bpcojZ26rE20/Zi3Pl7vfXuQ5ffRJO8qOHWrOz8zTlcLPfUrpx20ANYvWOL/kQWq5Mef2dVcNeIzyDgo8dmvZNFnGnhd+G/Zzw31/pwL/5rjAvwEKyrpewVmR2rTFufLQ+4tDnnbOAdvLIf3bhKwXqIJfOjaUplCcqo125xQ1Bq70hAO6qjE4NvIxiPb+R6r9Pde1vx8xsK0M33e7kE2+/OMq+fDPdY56zRsnyVMX7OQoC+fgvncXyfSl+Y6qfTs1l5uP7+Yo0wd/L8mTB97zrkmUt1DgMmY8YPeAOyBg/yyc9wYQCsdLsatD8I4g2uTJkyU7O1uSkpIsSIFv3odKgULwlXoooqDMEcgAcQgcEsQlMOoGdgKdF245AWGgC+5BK4ig/MKxDrS725o/f74FCXHPqDEQXEUlgiAyyjLADCgyxNIIXAJUAFO4Tae+8kvRo4El1gZBYRRmMIKtpFUincwVV1zhbrLKx6hwoAahA+uoPwApoPxA2p42bdpY6jxAKgAWQAAARQTqCc4yNwBsuG8C3VOnTrWAraoqcbhvTINJQABuxSjq0i9UZFDc+H/2zgNOiiLtwy8su0tcchJJIiBB1DOnO3PA0/M8zzOhmFAU0fM8w5kj6mc4IwZATGfAnHNO56moIDnnHHYX2AR89TQWdFdXT+yZnV369Ycz09NdXf1Wdc3uvs/8/xp4AQQAWAB0QCUKiIg5DEACcIJqEvuHDQugUkKu6Kst6A8qIMxjADWUbyhQn3jiic69ef311zv9o1+opzC/sdUCFEk1sJLDngklFh3cHzvvvLPTNnPMFhr6Q21EAy/0BQgQayrm54EHHihY1mFZRO4BR8h7mIEVEu0D1mAfZgvu6TFjxjhFf4AX1gxAHZSX6CMAGTkAzmI9ACICimjWrJmtuZS3AbMBSwD+2NZBQCBAEMAb5giqUIwPYBCQFXZirG2ANlgL8hzlJiDJMIN1kXMDIAa1zf3B2o8NnVabYa4wFwFEGBfeB8hjG+AIc1avX+n0FyCJ9cdco1HU4V4HmGP9597WYA7qXShKAWmZwZrGOpYJqzZ9LpSKNCDI2KFMg5KdqbYE7MN6zj6sRSgimVZ4QCyoUWnrRu45xiGs0Pe2hrBYC4DGzDnLHAWuYt3ic0hbtLn7wfgDNjI2fC5wPTbo0H1Mqs8Bx1jLAW2Zc0BJyYQGIzmGexX1pDAh4WT6Uhv2NX8fiACh2jCqWbqGPdoqQKheBAhlKd2Bp4kAocDURG9UYwYSVQ9avaa5LF/dWjZKnWrsbXTqKANRBqIM1I4MRIBQ7RjHmnoVZyjFBdP26djd28hf92pXUy8psN8rlLXUhcpiyoxTlAVN/13SB6Ie/3S+/DRlkuza/L/SrGClNM9X/wpXSsO63kJxQeMusu3uj5jd8L12rMGURVhQ5BU2l212vlPyG6Znj2WDKzgnYMctJ3aX5o3yg7qQ1Paq9Ztsxnh0Rx9VOP9XQOHcvV+859e+ME2mL46tDvSCstB67fslnqby6taRJy9IXiXE04h68cOMYrn7rVnmZrnjlB7SoUX4agG+EyW4IUjpCKs9ExLrpAC3YSf1SLBlcRRYUGJxh6rTJKVC5D420ec2NZ59lL3fBSnY+01euEZufHF63FMPOmRb+UOv1NVdklWZiduhat7hsmcmy/wV5Z5eZFsR6e9KhWeJYduGAg9KPPGC9fvDccs9u7Vski/3DUzeIu0etQ58r9YDdwAJAgva4l0F1T2l4DozgPOA9KKIMuDOgFkQcL+XyPMIEEokS+HsA+BDcY9vy1NI5VvygCoUVCnwUjRF0cQWFATPOeccp+CKcghFdTMogFKoo/gOFAHoQBE+G8G5KZhSKAZwsSnBAK6g5kOhm2DurV271ukjqhhuYCLTfdYQEKo2FFHN4BooYJN3IC7+AXcxBhTiMxFANKiuUCDlHEBYwF5NmjRx4LFp06Y51j4oQmHfwxgDQFFUve2225z+ocCAKgOqFkAkgGKpBJZQ2ASZhXLawn4NkAFQCCULW6AuBFRAbrHPIn8oYwC0AK0QevwBI1Bustlk2do2tzGGWAMBgpnKEyicMNaASG7LIHcbqFphf4d1kwZ/gKuAQcg5oB2AENZzKOEAQpD7ZAPgi/Ypqg9UAA02Vu4AmAIIAGgJUiUBXAEc0HAOawpzAbAAMIDPA8AWAmBMWz+5z5PI86VLlzqAEWAMsIL7HgHqwZaLNQgoyRbYtDGXmT/YBTHWQELkmfwRevw5B8CLDTaztW1uA4JkTaGPQByALDqwigKkAFYCnrEFUB5gyN/+9rfNcA5jgNrM2LFjnUP0fQUQxfxNBWQDLkEti/scSz3uDw1YchKgDu53/mHdZQtyDlThVj7jNbZ3gC7MH+YE6wJwGyBmusF8AvLBOpA5ZQb5B/7ivNzHAInMc+Alron1wn2dHM9nGGsHSkxB12qeJ5XX9IX1FEiNe441gD66wRvUywCVWAdQnAsK1i7uYYCbsPvMeknfUPqhL4wpcJpb/Y37B7iJuQNEZgNfdd9RHGO9RcHJfa36/bAeAa4Ae5gfffv2TUmtCls6fk4B1IwivQyYvw9EgFB6+dyqjrYBQuXry6W0olTWb/B+m3arSkyWLzYChLKc8Oh0cTOQKBxUUVUgq0paqm/fF8VtM9ohykCUgSgDUQbiZyAChOLnKNojcxkYooCZlQqccceh/VrKwD90cG+qFc9/Ucopt1uUU1AZQW0kKDZUlTpWX6LA6ILGwd/gflGBET+O/1bO3u6hoKac7XXrNZQu+78Scx/eXPDjxer/dRwLsE2qP5vUf7QtWJ26hXHbiLfD018skHd+8iq+6GMu+WMX2VXZ4oQZ972rVJamelWWaP+BM3ulDSINeuxXWVPm/X0WhReUXnR8PH65jPxkvn65+TEMmzPsuYZ/MHdzm/rJ/cpCrUUIFmq6vXQflxZXyMVP+O2MbO0ma7/2wS/LZfRn/vw+OqiPNCrMs50ilG0XjJogq9ZUedo6TK1jp6ewjs1bXiYAR/EC+AgIKdW49dUZ8utcLzyYbL5TPXcmjhs8coIUr/WOAcpgKIRlK/713BSZvbTMc7q9ujeTC4/o5Nlme/Hwh3Pli4krPW9t07xQ/u9Uu+S/Z0fjhU2prGPL+nLbyXbYjnuGe8cdDQvrymOD+ro3Rc+jDDgZMAsCyaaFIi2KHxS/o8hsBrAwOfvss53iKI86UCOgGEghD2CIgrw7KG5TnASgQRXCptrB8Vh0UKQF1GG/WAVEd/thPQeqoFjYqVMnR4XDBpfQP6xlsOiiUI76BNCDWUAOq09B7VAsphALCBAUKFBge0SxFUgEYMZtOxN0XDrbtW0UbQDOYMkFuACQgooQYA7AxUMPPeSBP1BmefPNNx2FForIFPNRlUklKER36dJFTjjhBAEUMgOoC2Ue8oOiRRDYg8oMoJMJZwC3MFeAegDisJViHUo2yAP3hVu14oADDnCK63ruAQYxJwFaTPUTfT5gCoA2VGYAwlhTCdZE7lnmCNAVYBY2T8yFZAMAALgD4OSII46Q4cOH+5RVACawOoulUEU7zEEUQVC/0gF8h2IQ8wAlMoCXWCpj+jjb47/+9S9nfgFDEFwvoBWwArnh8wIQB4US4K8gKyQ9l01bQcYEyAkQhnwyz4Dgkg1Ud7g3aE8HayRzjjYJ8kVfgY9QBgoCrwDpULtByUnPZ+YFcxcAbcWKFY4Sz8EHH+zAbvp8iT4CUgBrLViwBf4GXgH00FAbsNUVV1zhAdXM9gFquPfIOf3VAQwCVILSDblk/MOCQxlv1iJU3lArswVzkesDSOEzjEDdBkiRzyOgMBTjCNSasCEDigWOzWSwZpMn1hrWfMYTaAp4SgfzmPUCFbNYQR5SAQNjtanfo23OjzoVgC9zls9H1kq3TRtrHeMQNI91e9l8JJdAU0BC3D+51Lds5iEXzmX+PhABQrkwKjWkDzZAiK6vKlslFesrashV1Pxu1iZAqGRDhazcsFbKN276g3xJRYmsq1xX8wdpK7qCROEgUlKytkiWF7dWQGG9rShD0aVGGYgyEGUgcxmIAKHM5TZqOX4GbMobe6ui95AUlDfin61693h77FJ55suFvk4AcDQtKJWy1b86IBD2XpVl2IGpf+WLZUPlGueYhi13l3b9bvYdrze8/8syefXrCXJpz1v0psDHLvuNkbr54cI3gScLeOOrySvloffnWt/98x5t5fg9Y//hzHpgnI1fT1klD743x7fXQAXxHJqGXVPxuioZPGKCr91TlV3ekS67vCBI7Fpl5dMzTSufIDhmxLl9pUFB8t889l1MSBvKKjfIWQ+PT6i1fXoqFZ7D4sMVurFvlI3cAxYbubtP20HaNi3Qu4X+ePpD48RUpjpOzeG/pDCHV66plCGj/EpjZqcv7t9Zdu+2xS7CfD/e6/97Y6b8NKvEsxtzkLlYE+PUB35RhWpvz4/fq638effw1xHvWba8ulHZnE02bM52UjZnlyVgc3avsoj8zrCI7Nqmgdz8t+5bTpDgsxEfz5NPfl3h2buNmv/3qPvAFjZLMiz/bjoh+XPb2o+21a4MmAWBZK8uAoSSzVjq+2P7hOULxWYzgDuwNaI4/fnnn28uUmvIAjgBeCCokI6tEAV8gAssiFKBGMw+pfJaFwtRbABYysVAyaNz586OPRfF2FwKDasAd6EMY6oqUTTu06ePo4qBkksmAmUb1IEIACkAHjOwPkPhCBAD5StbANygKuFW5rHtl8o2rp15Tn5Q+mndurUDIXDvANCh1KLvAWzYgNJGjx7tAFa282kVIeAGd0Hetm+y24CsuI/pD/CPGw50t4XdFdAIYBJQSpDlIEAdoBEwk75GdzvpPKd/qO6QU8YWeALVGEAw5h3AAmDHhx9+6MwL7MtQiLEFoBn3GRZXQJBhBqo2jD95Ys1BjYexR4EFcAg4RSs0oa7DWhQLvNIqQm5lnrD6C7SDwg65wKIOxSSAGuAgwEgeUaZCoQz4C5glFngFaMbxrAVhK9mw/tgAD+YCYw/U5VZocucIGAd1PL1mcD2AZbzGOg5Qj7kDyMZ7qEaZdl/u9sJ4zvrO56IGpwBvgKy4FtSNcimw3gO+ZOxRxOI+Z87wWgOP1dlffsYAQGTOATHrtQeQEDCTNQLIjfkZRfVkwPx9IAKEqmccauRZI0AoN4atNgFCS9avkdUbtnz7qHJ9pZRWlgqPUdSMDDTMbyiNCxon1NlVpcperLhNQvtGO0UZiDIQZSDKQPwMRIBQ/BxFe2QuAzepguoko6DaTxVUL0+goJq5XoXb8sb1ZVInr748+tFc+WyCVyGiSYM8efjsPlK65FNZ8uuwmCcuaNRZtt3j0cB9vlHwywMKfrm+7+WSJxtkVWVzWVXRXLbv1EUVeNorJSAUgNo4j/kN2qt2kv9GauDJk3xjwcpyufr5qT5LKZrZuUsT+efRXZNsMbHdK6oUnPLIePVtVO/+O3ZqLFf8aTvvxiReTVG2UDdYbKH+oVSQfudSQVqorvvSpyf7Wh58WEfZr2dz3/ZkNmBdhoWZGc9c2M/cVO2vByqgptKwerN16oidW8mA/RP/Rvp4pYgzTCnjmIG1EhZLmYgg4AnlGhRsko1yNUfPHB4foPqnWiN3VmtlqvHvt2fL/6Z71bRqKhRSqpS7zlUKXmag3oWKV7YiHegqnWPN63tKKbO9ayizYRWGZZgtLn5ioiwt9v7tJFk4z9ZutK12ZsAsCCR7lREglGzGUt+fIjBgAzZctsAm6qabbvKonaC0guoENig1ISgWUugEYEB9JZZlS3Vdj1aVwdbMtELDpont1dlvlIJQ29AFWDNPFOuxjwOECNs+hutHoQQVqPHjxzuKMSgtmbAKSlCogDDOWMRgmWcL1EMobpPTsII5BlgATIcqkIaogBtQlAEOcvcJqAH7GvZj7LfddltfV4AyUFzh/rvkkkt876e6AYUj4BhUPwCp3FZdtjbZl2MA/V5++WWrYgmwC9ALKlxhqcTQF8YeFRNAD7dyFMASoAdqMCgxYbHFvGPMseLD4g6gyBZAPIBizKUwQwM9gGqsqzoYa1S2ABluvPFGJ08AmYBqzA+Ui7Rijz6GR66dew4LQdRQwgyACcAz8z4CWuN8qMeQR63QAyjKfGUbn+9mAOEwRqwBgBlhBHkESOR+7qosuVB2w7ZOnx9FOkA/FI7YbgvWLWyyuC8Bt/T6xT0KxAWkw7qBghbtBFn+2dp2b6OvgGBAd8BnsYK1gM9O1JW4pmyCN6iO0UfmPnAvgF2s4L4HYkQNCgs7IE0gN8aasamuAMajL8DNWmkS+0DGQMOUKHXxnJ8nmefx1Jiq61pq+3nN3wciQKi2j3iI17dt4zKp32iRbMwr97RaXqVsxhTUEdmMedKSsRe1GRAiaZGKUMamTugNJ6MeVF5ZX1Yqe7E1ZYnBRKF3NmowykCUgSgDtTADESBUCwe1Bl3S3W/Nkh9mFHt63E0pF9xYg5QL1lescNR+KpXyj6P6o9V/1CPbmrQ9SFr1vEiufWGaTF+81nOtvTo0kquP6yZlxRNlwQ9YegUHkFHX378WuIOGI5rmr5Liyqay8TcAKJNwRGBn4rxx08sKDJu/SRnJvWvThvUcxYxMWmLZlDrow0Nn9RbOn0p8rqyBHlEWQWZgD4RNkA6gGOAYM/66Vzs5dvf0APjnvl4ob/yw1NM0ykEoCOVa2KwFbX08Ye928qfdEs/L7KXr5F/PTfU19c+juyjwLDOKWctKKuSi0ZN85zxfQV/7pgh92RSJzBNc9eftpPe2qf9OlKwNlXn+XHq9cJUC757yg3dDj+wse26fuspSstcIoAmo6Y5OrerLsJN6uDdZn9+s1sSJxpqYKiz7vAIFX1fAoDuC1oLKKrUmDfevSahfoYIVRZQBMwNmQcB8P97rCBCKl6Hw3kfJAEUDrG5QCjGD4ilFd4rJuQrXmH22vc71YiFFW5RCgEJ0EZvroLCJ8ghAA4XyeDCH7dqzsQ37MCABACGb2kc6fcBeCmsoVD6wrQIKOOSQQ5zzuXPFOVCMAGRhOwCQbU5rKyGgkrCCvpED230EIEI/TGUjbKcYd6AE7q8GDRp4uoOqCKpNd999t5x77rme99J5oZV2sF/CFi5eoG4FyIAaTpDyEqDRkCFDHOs7QK6wAhiRsaZ98ucO1iZUzLCYwqoJVSHuE4AhlI/YznMzADgAIlFBCTOuvfZaB0xavHixT12FbahIobCDeg2wH3AT9zbwC7lFxccdQDoAZIBXwCxhBrAP9ks2izu2ATQBVGCFhS0g9mAAUOTbpryEYhPHADuhiJNu3H777Q5MBWwGHEi75BAbM9ZJ4CogEQAmcgqYFmRfd/nllwtqXD/++KPPeg5AC4WcoqLUf/8jX24oCBgV+AYLOVvQX9Zx1jXuf0KDN6whbhDOdnw624YOHSojR450mmCdHjx4sGAjGKQGhJLUhRde6MwDck3OWT+xODRBuHT6lcyxjBkKbMBq9J/7irFFKYgAUtNzUIOL2B+yRkeR/QyYvw9EgFD2x6DGnjG/7kZp22KuFBas811DZDPmS0nGNkSAUMZSGzWcRAaSgYNotnhNU0c9aMPGukmcJdo1ykCUgSgDUQZiZSAChGJlJ3ov0xmwqeq0bVYgdw+wW6Fkuj/Jtr967suyfNojMQ9r2GJXabfTrXKmslUqV/ZK7ji0X0sZ+IcOAmQ0+6uTNr9Vp2693xR/Nqn+5DvqP22lUZs/qD+M2yGWOcvWyZXP+uEIU8Vm80mq6cnTXy6Qd8Yus579EqW4s6tLcce6U5obv1TWZsMt1mZnHthBDu7bMqXWx3y7SF79n7cgT0NPDdlR6qpChjtscMwBfVrIOQf5v2HsPi7e88c/nS8fjlvu2Q3QCgu7XIsrnp0ic5dtUYAN6t85B28rB/T2/lE9aF+2Ly+tlKGP++25zju0o+y/Q3oKTUHnnaWgpKtsUFIaCj/nj5wgq9dWBZ3S2X798dtL9/apqyI9+tE8pWjmtZ1pp9beu2rI2utOztRFa+X6MdPcm5zn6UJUvgbjbEjW2svd3DUvTJUZi71/I8NCDiu5ZIO1iDXJHXXVr89PXeBXE5uj7sMr1f1oxgXK5nMfZfcZRZQBMwNmQcB8P97rCBCKl6Hk3ufb/8AQFISx4XAX8D/55BOn+I/VGDY+tqDojs0MKicUYsNWiHGfE5UHIAvUWChip1O4dbfLcwqvKLGEUSykSIkSBEogO+ywg9PXvLw885QJv9aWWSh4ELRPkZx/WOEAP6B8kkoA7QDvkEuK7WFDRtg2UQyncAxEEGZQkKa/gAIUhInjjjvOseMJUokBDKGAjGoIKh1uVZBZs2YJCkKoywDHhRW//PKLA3IA+tiC/nP/oRbijvPPP99RwQCCQQ2DsdYBCEEBnHsUu6owg/ywJmCp5G4bKIX1oqSkxAM4MMYowwDaAcJgS+WGs2gPmCRIiSzVvmu1FaAGVGzMKC0tFSzFUOcZM2aM9O/fX7766itnTcN2CIiB93VgScT1sgaEbTeolZlQV9MKUvq8PLJ2cl5AMBRcsLZCHQqVNoAGAEzmrA7mEkpE2h5Lbw/jkXsKoEbfU2abGtA58sgjHeswVFp4/t133znKTbfeeqsHBAQcA+IC4uHzP53Qn0nMfRRhCCA1gBpAH6z7AKr4HNNg3sEHH+xY9rnnpO4Dnye8z7FnnHGG3hzaI6AawBf3Eoo1gGd8FjAfuE/4ecYMbLqYh8xZgnUO0GXChAkZGW99fuAk5hrjiXoQc5I5xxx0Q056f97n/nHbdAEHsdZzf5kKVPq4TD6ypqOAZUKDQGSAjNxXjDnqWwSfrUCRQFtYUEaR3QyYvw9EgFB281+jz8afR7dpOVfqF671XUekIuRLScY2RIBQxlIbNZxgBpKFg2g2shdLMLnRblEGogxEGUgiAxEglESyol1Dz8AzXy6Ut8d6VU8a18+TR86JLYscZkeqtPJP+RKl+LN4swpQo1b7SlGH2H+wX7Pkc1n86y0xu5PfqKPk93hQ/mFRuDhDQSmH/AallC75TOoVttoEBqnHZGPlmkoZMsoPRwxSkMUfkoAskj1vMvt/NXmVPPT+HOshf1ZqFccr1YpMR5AlVKpqHfT3/nfnyLdTvcohQaDbDS9OkykLvb8L9+3YWK48dru0Lp28kl93dGhRKHec0tO9KSee3/LKDJkwrzRuX5KF27CQO8Niz3XK/u2l/86t454vlR20cpd57A0nKFuztv4/HJv72V5jQ4cdXay45cTu0qW19xvpsfY337MBZS2b5Mt9A3MPKDP7br7+cWax3PXmLHOzo9yDgk+2wvZ5pm0k4/Xhsmcmy/wV3jHfT0FtgxXclmy889NSefqLhb7Dnjh/R6mXx1/ktsR301YLqmpm3PS37rJdm9Tnl9le9Lr2ZMAsCCR7ZREglGzG7PtTuLz00ksdxQAskAgKlxQtsVNBQYDCJNAQhXO+hd+xo309wRqHojHQQiasxTg/CiFuVQ8KwSicUPSPFcALAE4oWFDEjhUU3IEcUJdxF+NjHWO+RwEbGx6KrTqwBcPyJkjFQu83btw4QdGCPLZqteXneI4HIAHamD59ulMApTh7+OGHy/Dhw1O2Rxk2bJijaoK1DEEBnSLpLbfc4lOs0X3Uj4AJ5EkrTujt7kcADYAdwIH33nvPgW/c74fxnJxQzEZNhwBCoMiN8gcwCKoiZjBvyDMwGwosADjAQRTC6TPFZF1ANo9N9TXqRhT+bYHiCRCVqWIBCKYtyLp06SL//Oc/Basc5hhjRL8BR+pC8IYY2noJEA+wh35gJQSQMX/+fOdM5BuARcNrgILMR95HpYkiPXOYQj1zBeshFHHCDO5twET6gEWbLSZOnOjY8nHvASywrr3wwgvOPAd4QtnoqKOOctY4rLpQdALmAOwLMzgnAArWS1gw2QIlLEAX7NFQbiOA1Z566ikHfGFdBmADcADYpI8ooqQK3QBzMNc5nztQj2Iukgv3OqT34bODdRcQB3UgIJGlS5c6gBPr59577+30m/kOsMEahRoO15ZuXHfddc6aBXxZUFDgaQ5Qks8v1gPGEOUb1nz6GWQ1hlUbayvrAXBbJkKDN4BMwDTAKKiZATFxTzH/3AFQxLydOnXq5s1AY4A3XFMmwRsNVe27774OdIc61fLlyx0bTlP5iM8NlKQGKoUu7m8deh6zPgGf2sAsvW/Yj4CCqOkBBerzAibyucY84OcA+qchPZTYNBT19ddfe8DHsPsWtefPgPn7QAQI+XMUbYmRAQChBhZAiEMiFaEYiQvxrbABoSWVxdKgbr40yUvvj0hLVTslVd5vzrXKL5KiesHtLlm/RlZv8H4DNbIYC3GyZKipenn50ii/oRTmFSZ0hrKKBrKyuKWsrWiU0P7RTlEGogxEGYgykFgGIkAosTxFe2UmA68qG5Qxyg7FE6p++cwQv9KBZ580X6ye/5qg/gMcJBu9qj666SbbHCmte16sX1ofy4snyfwfLvK9hx1Yfv02DuyT36CDzMw7We55y1+EvfYv3aTnNuH8bFO1YaOc/qDfKubEfdvL0b/LDBzhu/AYGxYo4OHq56f6VJQ4ZOcuTeSfR3eNcXS4b93z1iz53rC24wwPn91bmjSwKzTF6sFV6rpmLfH+DrNT5yZymVKRMcNm7RQEE5nHxnoNIAEo4Y7t2zUULOZyLYJs3sx+pmKPZ1PqwqYMu7JMBGAYgJgZdw3oKe2aJfZ7jnnsdUoNZ5pSxYkVd5zSQzq0SB1+sSl5FSmLveHKai9WYJOHfRW2Xt3V/Dp8py1F0FjHZfK9zyaukEc/nOc7xQNn9pLmjfJ92zO14aXvFsvL/13saR4gBzAnXlz8xCRZWlzh2e2gvi3krAOTVxb7aPxyGfXJpiKgu8FHB/WRRoVeFQzGEksyM0acznKqzAAAQABJREFU20caFHj3NfeJXm+dGTALAslmIQKEks2Yff9rrrnGsSeiQA4YgzoBBdbJkyc76gVvvvmmowLw4osvCgVjivAU+m2BKgYwAVZHKLeEGYAeFHkBY7A7AVii+IsFE8VdAA8AJVtQEATWYT8UgsxCrHkMIFJhYaE0adLEfCuh1yjFAEdQuEeNiLmKVRD/UFTg8aCDDvK1BahA0ZLroLgN7AAQogNIBDUPrh8QiwI9Kh1cW6oBJANwgm3NgAEDHHsucvTDDz84UA1ADxCWGStXrnRsZSgkMy8YB3ehnqIxxW1yT9EYhSIAh3i5N8+TzmtUgigUM1cAIGyqVkAWzNdp07aoB5JzgAaAnWwF+QJGwqrHplrEWDMuwAvMYx2ozaCAY1Mg0fuk88h9zDmB65h7wCTc4xTTuU+4B5m3KBthM0hg3QWgwXjrYL1nGwBGKgGEBhgYBJcAMrBmsX4BethCWzS5VUIALhh/QA0d7dq1c64HtZZUAiUSbM8AqlD0QllNh7aOom3uLVtwHDAgc5L7UENvwEWsc0AxOgCFWJtN6zH9fqxH5hSgCvAH9y65cINAQH/YTbHGoHRjCw1esV59+eWXDqTGXGYO8znC3CC494AzNPBkayuZbYCiQGtuANN9PJ9nQGmAqoCWgEuoWwHoYYllWtExd7DHYs3V89jdXqLPuXYgud697b8Dvfzyy846i4oQUBXAHflnfeTzDVBIr/ms88xVoEX3GqxtB/mMAbxJJ5hrKAXZ7MP4XOGznv7xnEfmBHAd84F7WVseouTHZxvrvQ43QBak5Kb3TfcRqJa8A1URwGpcG3AowXqOghWwEPkzx599UOZD5Qx4iHGJInsZMH8fiACh7OW+VpwpFiBUvr5cSitKZf2G9bXiWnP1IsIEhICDytdXSMv8JtIwQdiDvNhgoNVVa2StmgM6WhYUSUf1DepGMdqNACGdrZr3mAwktLq0ubIXay0bpU7Nu9Cox1EGogxEGcjhDESAUA4PzlbQNSyRULIww1bINPfh9caN6zcr/mgloAYtfif1m8b+4/DquS8qa7DHbE1u3kY77Xcatvm17cmGqlJZMfMJBQK1kfxC7MA2/csraObZ3Wb5wg6JXqensRgvznn0V1lb7v096qjftZaTFSRU3XHTy9Nl0vwtfxzX/WmqoISblVoFdljZis8nrpRHPpzrO93ZyubrQGX3lWyc/ch4WVfhBc0OU+DE6b/fxtfUC6oY/5oqyrsjr24defKC+BCB+xjz+c0qvxON/O7YqYlc8Sc/pGQem+3XIz+ZJx+P3/KH8qDz33PaDtKmqfcbpkH76u1DR0+U5SWb1BT0tlRBC318rMegNQwVNNTQUok7Xp8pP88uiXloKrlxNwgUAhzijgYFdWXEubHXzhtfmi6TF2y5j8Owx3P3IZXnb/64VJ79aqHvUJtijm+nEDeghoeKkBmJ9GPwiAlSvK7Kc+iRu7SSU/fzryGenSwvvpykbBQ/8K9v2A2a6yzrIOuhO5o3qicPnGkvkrj3i55vnRkwCwLJZiEChJLNmH9/bIK6du3qFMjvvvvuzTugnoLyB6oUAB0ALaiTYMECUEGBFVjFFhRhKyoqhG/hhxkACFgtURClMKoDYIFiH0VUU50E5SMK1Ww/8MADHdWOVBWB9PkSeaQ/KC0BNLRs2XLzIRSfKbgDHwGsuFVtUDegCEvegIpQ2jCBFl1cpkGK2YwDijOpBopRKD8cccQRHuiLvFEABvAAQHjnnXecPuvzAIVQ7Gecg2zNKNYCOTCX6CvzC6gk24EFEYAAKlk28Ib+cL2MF5AAaifMYa06ka3+aqsoHoEHggIoB2UM5jtzOmwrOPO8jDE2R6iYAI8AeDC/dX6AQlCHAg5ArYO5rQPAhcI9cwBQxm2NpvdJ9BHQi/UIqMaWHxSUzj77bKfAj0qXLegH9xwAhgYH2A+QgJwy/tyvQFepWAGyntJPt8IZ7QMmAXvoOO200xybPe4vcmcLICNgTPNY1JLoK+PB/bXjjqn9zofCE+sNdnYo/ZAzPgvcgYUc7XN/YOsYBF4Bj6GIxFxwW/UB4wBLMmexdXJDLu7zpPJcwzOAXbY1kHmLcg2AFXMGIIvx5Z4BYAO0og3WWF4DBQE7kVvWxFQDlSTWOtTSsLGyhRu8Ac5EmQcIj884fi5iGzAL6y4qU+ZnHuANc4j7MFVLScYK9TEgK4L80G832MT4s/4D/qJWxtiSb8ab62OtRG2LnxGA7ADVUG4DINKBChlrMKBTptYqoCwUxPi5gJ9VCMAwro3xBCqkb7///e+dec6+OgDM3D8TsI5w32UKuNTnjR69GTB/H4gAIW9+oldxMhALEOLQSEUoTgJDeDssQAg4aF7ZMulQ2FLaFjS19swGArGjCQOZBycCB3GMDRCqXF8ppZWlwmMUuZ2BRCChyqoCWVnSQkrW2edYbl9h1LsoA1EGogzkdgYiQCi3x6e29+6bKavkgffm+C7zbgUGtLWAAaWLP5a1K/73GxS0RD0u9R3bvOsAad7lVN9294Y1S7+QxeNvdm/yPK+b30hBRjtKux1v8GxP9QXXyLW6IxN2Ppc8NUkWr/KqUPy+V3M59xC7rYS7P5l8blMr0ee75Kgusut2RfplVh6BqICpzEhFySjI2u00BQfZ1FU+VuoeIy3qHvep4n3LNCCpq55TKkZLvSpGe2zfVC460m6JYF57Nl/bICnb+Uee11fq59e1vRW4Ldt5sMF/6ouO8nQaKmi29cK84HTVcV5WajcvJal2M25Oidz22kyzKzJcKW8VpaC85WsoxQ3Pfb1Q3vjB+1mQCOyU4ukCD/vk1xUy4uN5vvcTUSazKV8du3sb+eteyStf/W/6avn327N9/bhTqVq1N1StbJaHvTo0kquP6+Y7PtoQZYAMmAWBZLMSAULJZsy/P4ogFEZfeuklBxJx70HRnG/jU0CmWEkxERiHAisWKYAMgB9mYC+EagTvhxkUJUeMGCEUyE0rJWAJbFco9KICAOBBAIWgIoEiD3CRhhqcNzP4PxRWUK1B8cMMCphYLGF1RG5R/iCfWEZR+OUaKdjbgveBF7hWip7uQqxt/3jbgDeADB544AHH9sjcH8uYMWPGONCDthBjDlA0ph/xbM0oQpNzgI5s5d68BtR26C+wQhBcYh5THa+BwlBjQiHLnN/V0R/3OYEDsLICcHMX0/U+KIsACjBHAGTCDu7vfv36OfcJcA8Ajql4wr2BaghASCzIClgBxSXAAKCmsAI4CNAO2APLNdZJgClAO+Ye9/VJJ53knI7XwBYAVwAMtn6whgJUoEKG0kyYwT1Nv1BlYx0BlgkCooAQUbVCWSUIvMLqijUXeMy0KUun36wfQIVu6Ey3pz+7UMDDNswWQE2AL6zFKNuwBrHmAejwSN4BoIBeyDc2hayt6QRrHecF/HIraLnbBLwBumMOavCG98kjn3PMCUA2PnOPP/544f4CGgor+AwiB9zLKNkxH4Fp+Cwir25bPUA65jVzEXgVxSDuNa6N3AN/8TMEPwvwmnszm8prOieM85w5c5x/bAMKBq7j50Q+XwGwmPPuzyHUxgCdgZ5t96BuO3rMfAbM3wciQCjzOa9VZ2hcv0RaFC2V/Hp2eCNSEcr8cIcBCGk4aJ1S/Nm+4TaBgNDUtQtlSYW3IBLvChOFg2jHBgixPbIZIws1I+JBQqVri9Q3gVtJ1frsfbO8ZmQu6mWUgSgDUQbSz0AECKWfw6iF1DMwbraCJd4bK83yV8ri8nZSXLkJBr5JKcps18ZvMbt82sPKGuyVmCds0v4wab3DP2LuU1E6XZZOunuz4s8m5R+lAvSbAlDdeo1jHp/sm1f8Z4rMXV7mOSzIgsqzU5IvrlfWRFMNa6JUoJckTxtz968nrxJstWzx5z3ayPF7Jl8At7WV7DabJRdtJKv8gioS6khmYC/GGJvxi4IsbrdAFunazV3ypILDVnvhsAN6t5BzDt7yjTuzL9X1Okhpxd2fQgUGjVKAULIx7NUZMn5uqeewTAIPNvitSYM8ZVfXx9OHZF6gqoYyUaxIdp6abb2hVHees6juADYBONkiyBpuqILQ9lQwWnXFYx/Nk08neBWpUJ5CZSmb8Y2ym3vAYjd3z+lKCasothLWKQ/8oiTxvL39297t5Jjd7JYb3j29r1CfQoXKjFtP7C6dW3s/V23KRaiooaYWRZQBWwbMgoBtn1jbIkAoVnYSew+A5YwzznAgkP79+/sOwsqGwhsFRAqH2PgAWWDBgRoEth2mfQ4FXQrhAANhBopGABQUVZk7ZqDIA9CEygUFWgp+qBlgheUueJrHhf2a4ikWRRSaUS2whbY6Ik+AA4S29DLBB/N4ip1BxXxz33ivKcADdJnKS/o4AAJUo1ABQYUHVQYCsAkYo6YEBWCApo4dO1rhkly4DoAA7kGUNtyBEgpwDnOlV69e7rey+jzWvAMKADQAaAAmDDu491FRQSEIxSrs8LBbMwNbL1RjOnXq5AAPbrssvS/3JJZ4sSAivW8yj4AdAFTcU25lMJS0WCNZlwASNKAAsIDtkrbAsp0LkBA4iDUvrPj++++dexelJGBKt+KP7RyMO8AiYGAQAMaat8022zhKMno9s7WVzDYNSAGcYXFmBuAf9wPnZr0PslhjXFA3AorSn3EopzGPgIYYH9Yycp2qGpPuG3MKm05ygeqOGwrT++hH5gmWYm7whve4bqDW6667zgFeeY2iDVBbGMHnJKpDgDHkQMNXwF/cu9zHWDO6Q89VVOPc6xO2aKiycZ18JpFX7kvuz2yHtkoFrgLQ5bOL+QHAxPijxOQO3gdsYpz47HXbY7r3i55nJwPm7wMRIJSdvNeqs8SDhCIVocwOdxiA0JS1C2RpxWpp9ZsNWJC9WDKAEGBQUV4DaVqvUUxbMXd2IkDInY2a+zwWJIS92LLi5P84WnOzEfU8ykCUgSgD2ctABAhlL9db85nKVv8qFaUzNiv/VJYtdp6vr1i5OS2vzFfS/is3ydhji4Q9khmr570iy6c+bG72vG7QfCdpv/Mdnm3V+WKDKvoOeNBf/M2E9ZcNeunWtqHceML21ZKChSvL5arnp0p5pdd+i85UN7j0mQIKHlVggRmDFFDzBwXWJBqACQAKZtyt1DraGmod7ENOLn16srm7DD6so+zX0y5r7tvZsmHwSGVRtLbK886ROyuLov2TtyjyNJKBF18oC6SHLRZI7lO1VkDFvxVYkWzY1Hc6tqwvt53cI9mmEtr/YWXR9IVh0dS+eaHceWrPhI637ZSIwhLwFBBVqvHuz8vkqc8X+A5/fHBfKahnb/dUBbGov+n7IshOz7djhjbc/dYs+WFGsaf1bm0bqHUvdQsXT2MJvvhpVon83xt+MGfYSd2lUysvmONusqJqg5wxfLx7k/M8SIXMt6OxYZKygLtJWcGZcd3x3aRH+y3fvC8tWy/nPuZXUjtp3/byR2VNGUWUAVsGzIKAbZ9Y2yJAKFZ2EnsP+w+K2RTMH3roIetBFP+BRFAIAAyhwE1BkMIrCjaoT6AwQFu33XabU8zGgqpbt3DVw3QBE/WDIFsVlIJuv/12x54LZYzqCorEFIABq2zKBBTdAYgAb1BuiFekz9R1YM1CMRv1D+ArW6BoA/SF2gQ2XLqgbNs3l7fpuREEl1Rn36dMmeLMAYA7rJh0YHkEwIfaCfcZ15CLoe2wgAeACMKMjz76yAEksFTSVoHMQ4AJ7jMzABZQsgFsfPPNN302fSifnHfeeULOO3ToYB6e0mvuZ6Akrh2ww4whQ4Y40Af3u14Xy8rKHEAEqyaOueyyy8zDHNWeGTNmOAonvjfT2IAqDaAngEwiaw9gE+AIAAig6K677uo7O/ZxzFFAjTACey36yecNkBT2UGYAfvA5BEB2//33m287rwGAULRhDPhsyFQA8qEeBJCqYVrOxfgyN2yhoRbsudwWn+wLnAuYM3r0aMfKC0ArjADu1XPKtLAEROJe5lxdlFKXDsYdiAoQi88JYEt3sJ1x4GcFFLruvPNO99tZeQ74hNWZWw0PqHDAgAHStGlTx76Nn2MI7n2sPgFHUU/U27PS0egk1gyYvw9EgJA1TdHGeBnYBAktU0pC3m86clwECMXLXnrvN8tvLJ3qt5Ymef5vcCTasgaEYqkH0dbKqjUyR9k/lFZ5Je/N8ySjGuQ+NgKE3Nmo2c+DIKFVChBaHgFCNXtwo95HGYgykLMZiAChnB2aWtWxxeNvkjVLv4x5TZ8sOVQ+XrLpjxdDjugke3dv5tt/zbKvZfG4GySvsLnUK2y7WfGnXv02m9WA8hu0kzp1C33HVteGOcvK5Mpnp/hOf96hHWX/HVIHQnwNqg0AL4Av7qgOJQ19/puVss5EpbBjRtOG9eRmpRLVIg1LLbPNZF8HFcd/17VI/vHHLgk3Z7M3qqsUWJ4KsJiqXL9RBj40ztc+VkJYCqUaA4ePk8oqL71x3B5t5S97tk21yYwdN3ZWsdz5xqyY7acKeIz+bL588ItXfadZo3ry4Jm9Y54v1TfvfHOWjJ3phVO2b9dQbvhr6lDem0rd51mLuo+7j8wv5lmq8ZGyuhtlsbp7dFAfaVSY52v2F6VKc7tFlYYdO7WqL8NO6uE7JlsbbDZZmVBoi3c9kxWYc6MFzImnDlayrkrOGzHB1zwqPqj5JBszl6yTqxWYacYVxyrwtuMW8HaaUpu7TqnOmVEdto9mH6LXuZsBsyCQbE8jQCixjFFcnTZtmlMQsx2BagLFSGCEoiK7TStFPxRkUDY44YQTnGYofFLYpNimA4jk2WefdYASvS3RR5QSKE6iaoS6BYVrzqXtljREQRHQZt3FeQBeAJmw+aFoabNDSrQ/sfYrLS11rhMICAUIVEvctmCAEldffbUDXQFf2UKDV4AM7777rm2XULZRIGfcFi1a5CgqUCDedtttN7dNsZexHD9+vGf75h3UEw3XZEohRp8LWArwQ1v/YGuUqLIDiiI2GEu3jWUetk+x4BK9b7xH5hmFckCAzp07O7AXcyCRACYBJsCqRwfWRigEMQZdu3Z1VFFQ9wAcAcJDaSZVVQ7UZ5544gnnPkVRA9UM5mwiES+ntIGCC3ZK3AuTJ08OVHJJ5Hy2fQAXgX5QBgFmmzp1qgNi8PmBJRNqXe6gP1oVDaiBa0ftjCgvL3cUs+bOnetYubmPS/c5Nlfc6zaVJ5R3ABIAJ7G707F06VIHzgMkxA4RYESrg5FLoBjuV6CHMAPLNiAf1n4srrSqEdAS0BBzhnkIxKjfY21G7QiFM64HKFSHBnVQZ0IVJ4wASELdhb4wxqxRgB7u4J4mn3w2vPXWW1aIiP0Bd8gr60umgjG6/PLLHeU87Cz/85//ODZerO/ATvpzzH1+1gHmKOAYMMuhhx7qftt5jroNYwKAE0YAgwLbAVWZAYyERZxbbUnvg10eCoKMAfcdn9Hu4L5DQatt27Y+gMi9X6zntMEayBpJvoDp3Gs6EBBWjNitsV66g7nL5xrrm9sKj88+LPJomzkN4Mp84edHYGM+E6Ko/gyYvw9EgFD1j0mN7UEjZTfWssgPCUU2Y5kf0mb5jRQk1CZlSAjwB3uxZkrtJ0g9SF9FPBWhVOGgkg0VsnLDWinfuF6favNjZDG2ORU16okJCVVUFsjK0pZSus7+R48adXFRZ6MMRBmIMpCDGYgAoRwclFrYpeXTHlHWYC/HvLKxq3aTl+f9zdnnjAM6yCE7ev+IwRsb1c9+RJ26Bc5jTfjf11OUxdZ7c3xdBZDparFR8+2YxAYbrNKgoK6MODd5q6YkTmvd9ZkvF8jbY5dZ38uVAjRqH6h+mPHYuX2kYYEfkjD347XNdimegsyQxyeqn2+9dtsHKBDgnBRtfaoUdHS6BTo6Zb/20n+X3FMCwQYPO7xYsUuXJnLp0V1j7WJ976X/LpaXv1vsea9eXh154vwdPdvCenH9i8rWb+FaT3PpqmN98usKGfHxPE+b7hd5igx68oL0rgfVI9SPzACkAqgyA5gIqCgohp/dW4oa+I8L2j/M7Shyoczljv0UfDlYQZjZjNnL1sm/nvWDOWce2EEO7uv/PNN9W1ZSIReNnqRfbn684PBOsk8PPyi7eYeAJwtULv5pUSkz190gJa87TukpHVrkDmQbcJnR5mrKgFkQSLYbESCUWMZQ26F4j/pPv379fAdRgKfgRlEzyBYMmw5sulCSodipg4I7ljUUD1HjoMCpC9x6n0QeAS6wB/v6668dIITCKUFhl2KfVjPgWiiyY4FCAdkW2kJo2LBhgVCU7bhEt6GmwXVirwK8Ql8popM/QBrmNYV/iu9AIIBKQeAVRVpUY9zKIon2I5H9UHrSlk+MCwV1CrwATFjMEIAuwCcUVinw2oLx6dOnj3MdP/30k22XtLZREKbgS5Ff55QGyeGoUaOkd+9gMBurmKuuukpQmgG6coM3ZqeAS1Cduffeex2oy3w/kdcoZTH35s+f7+kr/UcFJGisaRvlDqyMUDRxK55QqGY79ygQDEo0gBtAZ4yhnv+J9M+9DxZSwACMu84r+cGyDLhPwx/uY/RzxgJYYPjw4YHQBwARBXvmTabgMQr7wCFusEariQFlAVaY18G6NHDgQAG8AlgAbAEyASwEDiAvNkUafe2pPHJOFFlsIIiGR0xlFs5Df4CAgDh33nlnR0GqpKTEAeVQ5WG9M2GMVPpnHsP6yDwARENlBcgH5RdAQh3du3d3cqgVcFirgC2451iLmZ8ALIwB6wlthBGch7URJShgTNZVYFFgDzOAflDd4r7jue1e4Z4HNmIeZSpY8/kMAJAF6iNYV1lfb7rpJuc+sZ1bgzeMNeBNkFWa7dhUtrEGshYANprB5yqWbihv2cAZ1gJANj6ruc6wgnuH9liXuR908FmFrSB55f5lLUQZkHWH+cb+TZps+bICcxIgFsjIHbzmZxs+Z1kr6D9tYvsXRW5kwPx9IAKEcmNcamwvgiChSEUo80PaveE20qbAS/Nm4qyxVISwKNu2sFXClmL0b2llsRTWyZeyOhtk9YYya5cr11dKaWWp8BhFzcpAw/yG0rigsdPpkrVFsqK4tVRtqJ4/ONeszEW9jTIQZSDKQPIZiACh5HMWHZF8BlbPe1VZgw3ffGA9pWRZr35b599b45TiZEVzWVTWQeav2/Tt2L/urdRUdqsdfwAIsgsarYCFfAUuhBlvjV0q//lyoa/JTJzLdxLXhiAoil3+rFRyjt/L+81R16FZfRoEYiSj7oQ6FCpR7thFqRBd+scu7k2e5zaopG/HxnLlsdt59kv0RdgKJImeN9X9Fq0ql3885bdZc7f3h97NZdDByQMe7ynrrCct1lkjFPTVIEHoy92PeM8zAad8N221A54Fnbu+gv5Gpgn9fTt1ldz/rh9cxNYNezczzlcWdqsNCzv3Phcd2Vn22D7zf1dwn1M/P2/Er1KyzvuFoeqw11tSXCF/f8IP+hynVLz+otS8gmL+inK57Bn//WACPUHHm9sTBY7GfLtIXv3fEvNwBz4DQosiyoAtA2ZBwLZPrG0RIBQrO5veQ4UCpQiK7AA+X331lQOwuI8EHgD8wUqK94EybIGaywcffOAUWk1rEtv+yWyjbZSOKDBjczJnzhynWA14QJGQIjn9B87Za6+9ZLvttnOKvRQ6zaDYSPGTAmeYRUzOs3jxYkdVA8gCtQVyhU0J1joUISmYA1agUqBVhChEBoFX2prpkUceSVkhxrx+/RpVIorqwBGAABTQASMo8AIgANVoGzZUhBj7WOAV1/jwww87tmmtWrXSpwnlEXUMoA8Am1NOOUUA0gDXACtYJ8gp424GakCABBT/sQ9COSZeACOlArHRLoVpFD9QqMKqivGmD+SS/GHX96lSubBBQswXbKRQtQJ6cts0AV2hzsF9SAGf89AmObcBJ/GukfeBIVBzQQWGuQgow5wA6AFmoPBOgd0Mzo0SCjAGYAUgkwktANpw3aikkItYAITZflivUS3CJgt1JSzDbEE/meOo0BA77bSTo+zVv39/2+4Z2waMxb0OBGTCTJwUAI8ccg8A3wCYoNCDZSOqJ5kI1snddtvNAR2B/4BrWM8A3Rhv1gLuO+AgwM3mzTcpFaM+BCQEzMa9xHZAGPofxucCSnI9evRw8sR9wf0PkAn8x5zUCnbunGiFJtSbgJXcCmnkFlU57oOwACb3uWM9x26Me5p7JAjQ5XgN6fLZxz1VXcH6zpqDmqCGwtx94ecI+giMyb6AZenG6tWrHcCL9YQ1ivWfz1e2oyZHDllP+fkAVUEgS+4n5iQwGHNijz32cLrx73//21k3uc8ypR6Y7vVGx9szYP4+EAFC9jxFW5PIgA0SilSEkkhgirumqyKUzGltKkKpwEGcc9q6RQ5QlJdXEAgIsV+kIkQWal64AaHVjr1Ya9ko0R8pa95IRj2OMhBloCZkIAKEasIo1fw+VpUtkcp1CxwgKF8pWEqdLeos5z72q2D35A5UT1A/qQ1x11uz5McZXguieAozqV7350oV5BGLKsh9Z/SSllmy80LJA3ubssoNvstIV1nF12CaG4qVtc9gi7XPbt2K5O/9uyTU+hnDx0tFlfda48EJKEoBUbmjbbMCuXvADu5NCT9fslqBCU/6wYQLlVXfXharvoQbztCOQfZu7tMdvWtrOXGf5NeAIDjtHgW+tLGAL+5zpvLcBqccsXMrGbD/Nqk05xwzfm6pDHt1RuDxTRrkycNn9wl8P5E3flBr0t1qbTLj/07tKds0L/Rsjtcfdj58p1Zy2u9Tv2bPCZN8ccr9v/iOOEFBpn+qBsj0glETZNWaKk9/4tmdBVmCAQwCDiYbiQKD9787W76dutrTfDrrkKeh6EWtzYBZEEj2QiNAKH7GAG8oTPNte6CEIFgFcACQBMCBQqb7W/n6LBxPYRjwgIJyWLFkyRKnCE4hHyjCHahbAFVQJKdfKGlcdNFFjpIAiiv33Xefe/fNz1HkGDdunKNstHljCE8oRg4ZMsSBQVD70AFUAaiC8gIKDBSsKcBTmAZ2QhHDBiVUVlYKsA2wBqBDmEEhHcUSCq8ASzqAxlALwtYIaIVcYd9EAR2VBtSmeDQD5ajjjz/egYwStdMy27C9JgcoOVBsNscTwOOcc85xIATGX6teACaQr1tvvdVRXSHf2NFkOvR9YlopcQ3MS+ysDj74YHn55Zc3q4gAO6HEw9zgWugza5cZ5PSbb75x4AjuNYrh6QT3Kv0wrQNRQAKuYW6g0ELfdHBvMxcB4WLZmqE0g/0ZkBMQC0pf2Q76CHwBUKPhrKA+AGig+JWNOWL2AagCS7fDDz/cAUHM992v2Zf7kvmRDXUTACvmAjZOjCn3oBtgwjYNQOz66693VObcfWV9A9YA1nSvL+59Un0OKIUinV4zOQ+AIOAUc9QNAOlz8NkBIMJnBHMXwIrPFrZznQBP2H1lO4BpgGr4bGWe8nOPGYw7qjaAsFw7n9vVEcBhKBrxeRAUwHbcd6x5KB7ZQKKgY83txcXFm+EgFMgA/dxzCZCV9YVxBVpjHFGTAyLjswJlKT4L+NkBFUQ+81mLsEPl55koak4GzN8HIkCo5oxdTvfUBglFKkKZH7JsQUKrlCXZ7LKlUlq1zrmoVOEgDgYQWrde+f/mN5CNyuMyKCJAKCgzubu9QEFfjZT9XX5evtPJVQ4gVDsUBHI361HPogxEGdiaMxABQlvz6OfGtV/y1CRZvKrC05lU1UM8jeTIC8ANAA53oLSB4kbY8dOsYvm/N2b5mr3lxO7SpXUD3/ZMbLj55ekycf4aX9NFDevJLcpWrUWWQCVfBwI23P76TPlltt9mbOR5faV+fvDvGTS3vKRSho6e6Gt5oLLIO9Rikad3fP6bRfL6917ljnRso2YvVdZGz/mtjS47pqsAJ+RinPrAL0odIbhnqdqj/TKnRG5/baav4ZtO2F62a+sv7vh2THKD7TpQyEIpK9UIAkZ0e9xD9yvoL51gzjP3zbhVrRWdjbVi9Gfz5YNflpu7el53alVfhp3Uw7MtGy+CYJizlK3XQTFsvTLVt/sV/PetAf8VqnVklFpPgmLSgjVy00vTfW9fd3w36dG+kW97vA0Ai4CLZgBwAXLpYM1g7XBHrkGc7r5Fz3MjA2ZBINleRYBQ7Iyh/gAkMnjwYEdBBoUS4BBsd2z2XFhRUZxEdQQww1Qu0SoHqLWg6hNWoEqEUglqATyaQXEaBR76j4oAihD0HzUhCodAF2ZgNVJWVuYoHpnvpfNa5wjYwFTL4HwoXQDkULhEiUGruLAvgAtFYndwLQBCmbBn4lz8Y7zNABpBCYfi6vvvv++AHijw0G+KvxRi3YVajtdWZFyfeR1m+8m8xvYFJR7Ug1CGMEPb2lAYRp0HmAEbGY4ZOnSoA5BpSx/z2LBf6xzZFDYoWlOUJp/ccwAXBNAQcxjFDSCRoCCvqIegxBLLJi3oeHM7FlpAHCivmAEkBCyxYsUKByLSwBfrBYodrAOocwQF18o6YAM1go7JxHZtiQSsx9ww78lMnDPZNhlX4DvuH5S6ci2uvPJKOf300x2FNrNvgI+o+QDdcJ9WZ3AfAbgyr/kccINMul8oxqGQxvrM5xfzFLUw5rO2VNT7ZvORPrGOBQG69AXwhrFgjUFJJ9uBVSawD4AginOxApUmYBz6m87ai+IbP2sErf26D/pnAFSBmIcasARmor8ATaxnWJAdcMABDgCr11/dRvSY2xkwfx+IAKHcHq8a1TsTEiqvKndsotZv8H6ruEZdVA3obLasxlAR2qD+a5zXQJrVa5SUrZg7jQBCi8tXSpPCJtKgXnCxIwKE3FmrGc/d6kGVVQWysqSFkowP7w8ZNSMLUS+jDEQZiDKQvQxEgFD2ch2dyZ6Ba1+YKtMXe4uUu25XJNir1PRAReesh/2F2uOU3cxflO1M2DF98Vq59oVpvmav+FNX2bFT5kGRZ5S92dvK5swWf1fjuZsa11yLj8Yvl1GfzPd16/zDOsq+PTdJs/ve/G3Dr/NK5dZX/EovVxyr8t0xON8fq3OOtJwzVaWnSQrIukmBWWakChiY7WTi9XlKuQm4IygGq/zvFyf/tmOD4JpMwFJrytfLoEd/9XUjHiDmO8DYEKQIpXcLQ+Vl4vxSufll/9y94a/by/btvCDVkMcnysrS+Lbdw8/uLUUN6uluZuVxgVIs++fTfnuui/ory7Nu2f8d8sNxy+XxT/3rSax78WcFa91hg7VOUrBWq+C/dcRKsE1V6W/7tJNjdt0Crp2pPpvKDaW3dNWvYvUpeq92ZMAsCCR7VREgFDtjFBqxEPr555+ldevWziNQCEAK3/zXljG6FWARFGIAHP74xz86RVVtlYRKB1AOQAvthRmff/65AyWhCIAqkBkUeVG5Qb0Fq6RBgwbJ3LlzHcAFdRaKh1hU6YIxBURUXCgcDhs2zGwurddYL6FqhA2UzcJk/vz5TqGSAjVgAMpHqLicdtppjiIIygZuFQttiQKQ496eVid/Oxi7IMYP1QpbYDeGnUu/fv0c1SAK6uQWUIu+0FddqMaGDhWMH374wQFDTHjM1n6i2yjyokSD0oe2PDOPRVkCSy8UTa655hrnbXLcrFkzc9eMvtbjhcqSTeEHWxwABuz6PvnkEwe2okPV0VdgNeygpkyZsvnecCeHa+A+Zx5TYGc9RrGDdTVVCzZ3+9l6DnQBPAKEccMNN2TrtAmfB+hOW/O5ASbWNdZnwEHgIb1+JdxwlnbEqpH1Ftum6g7U2YDCUOFCscsWKEuxD+sK6xf2Z7a12nZsprbxuQngyr0YBOhm6tyJtovSESpGtrUNUAwLOlSZwgrUg/h8BO7j3PEChT6U+EyYls8mlND4eQeVob59+zoWlaixRVFzMmD+PhABQjVn7GpET01IKFIRyvywZUtFaKVSESqoUy9lMIhMLKsskblKiWjt+nIx1WbMTEWAkJmR3H5tjmfpuiayori1VK7Pz+2OR72LMhBlIMpADc5ABAjV4MGrJV23KbjssE0jueYvmZedz3QKpy1aK9eN8f9xbqhSD9pTqQiFHUuKldXUE36rqQsO6yT79MzsH+SDrJ24xmOVmspflapKLsaqtVVywcgJvq4lovIUBPr8W9lZtY5hZxWkcnOtmvM91dxPNn6cWSx3vTnLd9htJ/eQji39sui+HathA1AHcEdQXK6gtn4pQG3LSirkotH+eyAR4CuoL0HbFytlsEss1m5DlLXb3mlYu8WzYNtWjentamzTiaC16erjukmvDlvm4AQFwd1igeBs50YVjfsmmzFZqe/caFHfMa8jW32at7xMLv/PFN/pYlmefTd9tdz79mzfMXcN6CntmhX6tieywQb/uNfh5Qr4GqrALzPShdvM9qLXtS8DZkEg2SuMAKHYGQP4AQTCmkUH1ivXXnutYysDcGFGaWmpY5EF3ICaAPYzAEUom6DagirRnnvuaR6W0GsgCYq6wD6ACToonm6zzTaONQjt22Lp0qUOyFJQUCDjx493LNB++uknp68Ur1GTwY6G/Z5++mmnMEzRMUylI/qlFUtQNAJMsIVW2sHGi74Qjz76qAO3MCaozKDSQwETJQYKn4AnYYcGJ1B6wAbIFhoIon/AQtjGAGm99NJLDtDEWKESw2sgkueee26z7Y+tvVS3oVbDPPv++++tTVCgBshB3QZAjflSHUH/gOwuueQSR+nH1gfGFUUe5iT2ftUVwDIUzrkP3GuAuz/AVqh3oFrENdXEYG5wfcBQgHbVYXcWK2+oRjVu3Ni5h/R+rFkonwFdAJRxX4W9VulzpfMIfLHDDjs4gA19re7AKm633XYTQDz6E6bVZaavjXUrFqCb6fPHax+LLmBW4EZ3oEAGbMucBb5Nx1LM3S72ltgbYiGGHWK8QGEJ+Af7U+wRUZJzBz8P0E9tqUh/01E3crcdPc98BszfByJAKPM53+rO4IaEIhWh7Ax/tiChdK9GqwfpdmKpCEWAkM5S7j+acBA9Xr2mmSxf3UY2Sp3cv4Coh1EGogxEGaihGYgAoRo6cLWo2w8oS5ZvDEuWMArguZCiT39dIY99PM/XlTtO6SkdWqRW+PU15tpQVqEUix7xKxYNUNYyR7isZVyHhPJ0oQI9rn5+qqCYZAYWV6i35HIMe3WGjJ9b6umi+lK2jDy3rxTUC7YZ+89XC+WtH72KSfXy6sgT5+/oact8Qb4utaiepKqa89XkVfLQ+3PM08i9A3eQVk0KfNtzYcMNL06TKQvXBnYlVVu8INWuAfure2DnLfZKgSdO4o1MKXZhvYZ1WVB0bdNAblZ2felEkC2dCWY9+fkCee/nZQmdCvsqbKyyGd/PKJZ73prlOyUAFZ8j1RFDRk2QlWu86lj91Dp4ecA6+OWklTL8g7m+rj5wZi9p3ii1L8oMVgpdxYZCV/9dWskp+20an2D1s+2U+lljX1+iDVEGdAbMgoDenuhjBAglmqkt+6FagQoAqjLYrpx88slb3nQ9GzVqlFx33XWOBRGbgTNQ6tFWRK5dE3qK/Q8FcW2jglqMO7A1o0/ffvutYCVlC201RSGTvhAATdicAOJgkUJBkLawF0nF/oj+kRddsEfd4Oqrr5YOHTo45wNyAmYBuME+LKgACQAFZMW/PfbYwzkWRQsKohRcN6oPZxScsPZBYSQVxRZgFZRJOEe3bt0EpQ9szYCoiDFjxsjAgQOd4itFWFssWbJEdtppJwdgALzStmIUii+77DJnvDgOSzHUfVCYSjaYcy+++KKMHDnSKTIDHNAv1Cp0aKuZd955xwEm9Hb3I30aMGCAo8bEXMhEACDRT+A58ogKE/Ore/dNPycBeFEgJ08UywE/bMFcB6rD8sh9nbZ9U91GkfyRRx5x7JboE2AMfdWFc634gW3Y448/bj2NBq9Q86CwbqqKWQ9KYeObb77p2P9gC8hcAjxDVSuRoPAPGBB0r9EG9xSKSdzz3Bd8NqQS5ANwgX/AMaxFKBPZ1KJs7XNuABZ3oJICFKgtj1hbUDzDkpA1FmgyFfWgGTNmOOAh90W7du0c6JC1KpExRCmKtQ77sFiBwhH3PfcE6j25EEBggKvAQcxxvWblQt/i9SEeoBvv+Ey+z+cminOo9BDMfxT4gGGZU1iMHnXUUaF1ARUo1ID4nALuTSRQ8HvggQeEn09slnFYKvI+cG4QFJvIeaJ9sp8B8/eBCBDK/hhsFWd0Q0KRilB2hjxbVmPpXI0JCNnAEt1+5fpKx6KOxyhyOwNuazHd01WlzWV58RYZdL09eowyEGUgykCUgfAyEAFC4eUyaim1DIz+bL588Mtyz8HNG+fLA2f08myriS+e+mKBvPuTt7iepwCSJ+MAJOlc68Dh46SyShEGrnArR7g2h/b0ZmVvNVHZXJlR1LCeAzK0VOOZy8H8Yx6accHh6o/3PYKVl+5WYMIPClBwx7YtC5W6S0/3Jt/zyvUbZeBD43zbUVlirJKNIFujRwf1kUaFeck2l5X9UTxC+Sgo7lf3f4sU50227oEgayjgHSCedOKcR8fL2nI/cEebqEyhNpVOBFlzYe2IxaOOi0ZPlGUl3t+lgRsB57Bzc0fnVvXl1pNiFy7c+4fx/NMJCsL8yA9hPnRWb2mq1p/qCBv0WlCvjjw+2A4OBtkcpnP/XvSEGrdi77gd3LelnHngpoJ50JqRy1BhdYxldE5/BsyCgH+P2FsiQCh2foLenT179mYVICCXWIoACxYsEIrmGpAIajNoOwU7iuAU7ShiAzRg/2WGhhn2339/x0rMfJ/XwBkUhZk3QAPuoJiJwhEqHG3aJP+zD21RMAey4ZqBelAkYRttUigHaiCAMLBDi2Vzg9oONl0XX3yxUwR1Dvztf+ST4j7F+VSL29itAX5wDwAvACZgAwfQAgzSq1cvp8CL2hPWQKjaBIFXulBrszlDkQkbN9pLNYAhUCjq3LmzY3WH9RrQEIpFqNcA2QCn0FdyAiQWBIOQU8Z53rx5KUEVsa4BSAYADogFyzOumznQoEEDZwzPPfdc53ANTQwdOjTQwo45pEEYitlhB0CMLtajRsX9QP8BxYA52EagXoNlEPOFe8sW7M+1YCkHyBJ2oGKEmhH3P7AMqmbcr/Qf6ADlKFuwD3MTsIacA5HFCuYSylKpgiysVdpiCds9AB4sobAF454HTAyy1lu0aJFggwcIiWJXx44dN3eVecC8Bjojz6hxcS9ynwI+pRKTJ092LB+557lvgMVWrFjhKP1wr2EHGRTMBwA28s66awsAIvLJ2B177LGOhVvQPWk7PtPbWFcBOYGrmCM1JTSgy/qAtVzLli1zpuuAoszVF154wfnMQNkOS0mAYoDMVD9Xgy6Q8WMc77//fkdFL2g/93YU2bC6vPnmmx3Izv1e9LxmZ8D8fSAChGr2eOZ07zUktEFKHNBj/Yb1Od3fmt65mqAiZAJC5DxSEarZM88GeVVUFsrKkpZSWtakZl9c1PsoA1EGogzkeAYiQCjHB2gr6N6YbxfJq/9b4rnSWMVUz445/sKmTNOltfqj9YndM9bzoaqgv9wo6B/Ut4WcdeC2GTnnM18ulLfHelV09In+flRn2W277FoO6XMn87hyTaUMGeW329mre1O58IjOgU1hJYSlkDuAK4As4sUQZe+zUtn8uOOAPi3knIOSH6c3flgiz329yN2U8/ypIf2kbo4KcT760Vz5bMJKX5/1hicu2FHqpdj5C1VuVxi5PWTHlnLGAZvgCH2OdB+DlJviWcwlcl4b4KGP66sUXq48djv9MqXHpcqO8GKLHeGFyh5tr9/s0SYp+66bLPZdx+zWRkGIG+QdA36kI8PP7i1FDbIH5gTN/SfV/MlLcf6klFDXQUHwzbXHKwvB9l55fQ5j/WQdNSOde+CyZybL/BVeC7/9dmgugw/dVAB7+ssF8s5YL7xaWz53zTxGr8PNgFkQSLb1CBBKNmNb9kfdhCLxvvvu68ADQYXvLUck/4xCOUVGgAu+0U8hMJa6xUknnSSvv/66ozTCc1toOAfIKQgssB2XyDbgE4AQivzbb7+9o/KDugFWXdigUdAHysHehsI+ikUUUIOUioAM6OPHH3+cyOkT3ge4CEul3/3ud45FGfcRMAO5AQ6g6Pz55587SkcffPCBU+Dn2lDnsY3z1KlTBaUkVJmAIMIM4BjsYwBEUGIh5syZ48BBgEKADFiyAR/ooj+qEjy3BVZsqE8BmQQBT7bjEtkGAMZYAdNowOb99993wBSUozQQxrgDEHEdqF4FQR7AOewD/BRmYLPEeAHDUDDHcgdruNtvv92x62FdZDvzD3CIsUe1ib7agDTAEsAd1gOtchNWf99++20HrBs8eLADmzD/AK9QkEL5CiiBOapVj/R5gdoAglhDsEEDMrPNXb1/GI9DhgxxICnUrg477DCnSWC1U0891QEFmZPMTTNYs1AG4z7k/gMydIde1wAsAO44D/eDbSzcxwU9B2Ri/AnWqrZt2zrAHRAHaj8EfcLOyh3MW6zkuIeAxQA0tDKa3o85cs8998jXX3/trHOoPAF3pqJwhhoX6yf3NmBnqtaUum/uR8AoFLOYJ8wxbNpqSgCTcc+ac766+w94w7izvup5joIQtl2ZCOw1gUQBL4HREgl+lmBtrmlgWCLXtrXvY/4+EAFCW/uMyPD1N25QIi2aLJM1VUukYn1Fhs+WO81vWL9BykrKZO2qtVKxtlw2qD/C1VXfOM5vWCANmzaS+kUNJC+G5H2qV5IIJLSkslhKq9ZJ64IiaZKX3rcjk+2nDRCyASa63chmTGcidx9t6kHFa5oq9aDWsmFjXu52POpZlIEoA1EGakEGIkCoFgxiDb+Et39SxdEv/MXRxwfHtneqCZd9gbKaWWVYzbiLtJm4hquemyqzlnqVPXbv1lQu7h8MuqTaj6+VNdyDyiLOFplWLbKdM51tt74yQ7DdcQd2YdiM8WiL05UKUJVSA3LHUb9rLSfv2969yfr8emWxNdWw2EoV/HhBQXavGZBdYX5dGXVeat9ytXY45I02ezZ9ikb18+TRc/rol0k/XvnsFJmzzAtu7algr6ExYK+kT6IOeEKpTr1vqJ/Rzgg1ZxoU1E2lyc3H/Ou5KTJ7qfca9Ju7dGkilx7dVb9M6XGVguIusEBx5ymAZH8FkhA2iITtN56wvbLQqlTWXrN56YmLjuwse2yfPSjQNo9QzUJ9p7pi3ooyufyZKb7Tn7B3O/mTgqvMeOV/i+XFbxd7NgM3ATmlGte8MFVmLDY+B9S4XKzGh7jzjZkydlaJp/lOSgFqWJYVoDwdiF7UiAyYBYFkOx0BQslmzLs/hW/gDIrGl1xyiffNEF4Bm6AQAmCDTUm8AHyh+EcxGniAorIZ2mbqo48+ciAZ8/1UX1O0RX1FQyDudoAssF+hwA5kg7qQVj8A0gFwYC6bcdZZZwmAydy5c8230noNqARkQL9MZacHH3zQsQYDCAEeoBCNHQ/qQNiPYWdmC2ATbNEAHMIMLMko4tNXdwA0URwGxgFMAVoAfAFqQWEJSyrAFjMAGIA3ANwoaIcVADYAHKjAUBR3B/OScy5evNhR12Au0D8sbrCxQYWlWbNm7kOc59g96etKFQbxNao2aOjGpvgEkAFYw3jSL+AR4BzUgbjfUfCyBSpUKIm99tprtrdT3gYchmIOoJRbgQY1MNYFrAFR7WE8tc0WUBlWQvSH50BE2QjG8oADDnDO6T4fawNjjpoQEI62RgNSYd1EGQjlJVTFbPMANTGAHMaE+4tzpBNAiQAxTzzxhM/yD8CNvvDZCCTImkYAAdJvlIcAARkXnW93XwAhUdECMgToSxW8Yd7zucJ9rgPFKNan1q1b603WR+YwaxwAibZLtO1IHrCV0zZttn2ibYln4JlnnpFBgwY5BwBAcu8BymYqUKnicwrgDQUs1qp4AbCHAiH2l4x7FLUnA+bvAxEgVHvGNmevpEnD1VInf7pslDU528ewOlaxtkJWzV8ha1asUYDQOikvKZfK8koBGKqr/lBUrzBfChvXV/8KpVHLxtJ82xZS2KgwrNM77cSzGpuydoEsrVgtTfMbScO6hVkFhWyAEJ0OUhGKAKFQp0bojQXBXZG9WOipjhqMMhBlIMqANQMRIGRNS7Qxixn4fOJKeeRD/x/iHzizlzRvlNvWVLHSVLyuSgaPmODb5cR92snRu/qLxL4dU9xw22szZNwcL+iyg7IkuiZNSyKzO4tWlctVz0+Vsgq/DdJOnZvIZcekBzCY58v06/d+XiZPfr7Adxq3oor7zSAFFpSaUGyKF4BVAFbuaNusQO4esIN7U0LPbaBKs0b15MEzeyd0fHXsFKT8Ql/aNy+UO0/tmXK3bLBXn20by7/+vF3KbdoOvOP1mYLNmDvSBTt0Wze/omz75tn/9gGAA4iTTqwpXy+DHv3V18RZyoLqIGVFRfz9yUmyZLX3C1p6bErL1su5j/mPP3ynVnLa77fxtZupDXx28BnijlTvI3cb6T63KYT1U+vi5ZZ18Xml/vW6UgFzR8PCuvLYoNQBv5uU7eMkw/bRvS5f+vRkWbjSqzAUxrxyX0P0vHZmwCwIJHuVESCUbMa8+6PwAJADmAFMEnYhHssj2gSOQC2G8YoXqHegLoIdFX0yi8kADhTlsWjB+ius0NYlWiXIbBeQBYUZFIGwZaNfAEDPPfecA4qMGDHCp3AC+EDxE5AjzAD0efjhhx1gBXsuM7SlV//+/R0FD8YXKAHQBTsp04KJPgIEYNsSpNxjniPR1xSAUacBrDKjtLTUUTmZNGmSAw4w7ow5lkZFRUWOBQ/HukOrTtjgKPd+yT6nQA34ZQPEaAsLNyAhIBfs2gAvUNoAhEAxBnDNhBlQxmDfX375JdnuxNxfW3bRrgZA3AfcdtttDpzB9QDSAX3Qd3Jmu76NGzc6MA4AkQlHudtN5Tm5QaHo559/9h0OlMUcRbUEmAoFLIJ5iEoXgIkNvPM1FMIGVI1Yc4JUgoDcgHzIJWvFbrvt5tikoYwG6GbeU2aXAKEA8GwAkblvvNeAQcBVwIcowJmhAULgDoAKLPLoPyAeakA28NJsI53XGjQBoAO4Y/xZH1kDWDdZD7GyMoPPC/L//PPPC6pL2MrFU9nBArJ9+/ZmU9HrFDKA/RmqU6wV3ItuoC+F5hI6RK9ViaoI6c++TCjIJdThaKeMZcD8fSAChDKW6qhhnYG6dTaqX1AWSV7BXEXMev+Qofep6Y/8gLdy3gpZMWe5rF64SoqXrZaFCxYK5DM/hENrI8/Ihy2UJiRz09bNpKhNkbTaro0UtW8q9fLrhZKGWCpCqAfNK1sm69ZvGYdsgkJBgFAQaBIBQqFMiYw0EjRm5RX1ZYWyF1tb7v/FOSMdiRqNMhBlIMrAVpyBCBDaigc/Ry79h5nFcvebs3y9ue3kHtKxpf/bvb4dc3QDajSACmZcenQX2aVLkbk5tNcPva/k8yd7wZNtWhTK/53i/8NeOie9RV3bBENxh/aKGtaTm//WXVo2rllwF7Zs2LOZsU+PZnLB4Z3MzQrCKpHbXpvp236VglB6KxglXjz/jYICvvdCAanCJQ8rSOILA5LQIEe8flTX+5/8qv74/PE86+l7KqDt2jSAtvvenS3/nbra03Ym1FHOHzlBVq+t8pxnx05N5Io/eYtjnh0SfHHP27Pk++nF1r337dlMzj/MPyetOwdsrFDqxGcMH+97d4CCe45QkM+UhWvkhhen+97/466t5aR9Nv1h/2oFCM5c4lWp6dy6vtx6Yg/fcZnacKf67BirPkPcsX27hnLDXzP3DVr3uYKeP6AAwG8MADDIwgswEUDRHekCfjZ4bYcOChQ9rpuy4BE59UFV/FSP7kDdCJWjKKIMxMqAWRCIta/tvWyfwNkAAEAASURBVAgQsmUluW0ABCixULClmJyfH+7PW9rKDDUhlCsI/h6NqgjQENZNFCRRl9AqK6gNsS/WXRTWtd0TUBCKFu3atZMvv/zSaSus/6EOgoqKu59m27qYieUKxWsUhSj6o2qD6gaF+RYtWjiHvfHGG06RG4hEgw9me6m+BkqhXdRCbLY9gBcongCnkOcjjjjCAQQo/lKEpz9XXHGFUxOgdjB06FAZPXq0A+egHBFmMLaol0yfPt0HUHEetmMVBFwzfvx4B/rSAATQEjlFMYIAGuEagDSw7QrTcoq2mW8nn3xyoMqO7hdz9YUXXnAs6IBDUN1hjjJXtd0cuQd+GTBggKMs41xASP8DSgNOe/bZZx31HbNZxhRgBZUjFLxOP/10pxbEvTN//nxHUQgQSN/rgDjMbT1XzPbSec256QeWgDaYbcmSJbL33ns76wBKO6gGVUewJlEXoy9AaLYAcEERi7FG4cymwGM7LuxtnJt1h3UA6McWKAShAIPKCmor2QygtR49eshbb721+R5lTmKBx1wD+vvss88cKFH3C7Ur1lXqlSgxoYIURfYzwGeHXheycXY+j3r16uXc/9iMAQoFBT8v8LmG0hfraxS1KwPm7wMRIFS7xjdnryavbpXkF85VEMxi9aFembP9TKVj69Uf6JZNXyyLJi+UFQtXyJRJkx1JU37w4psD/DCtASFuQH6B4VsQ0NIQxm07t5PW3dtKqy6tpUBZkIURQSpCWj3Ido5sgEJBgBD9sakIVa6vlNLKUuExitzKgM1ajB6uXtNMVjj2YnVzq8NRb6IMRBmIMlALMxABQrVwUGvYJU1esEZufMlfiEbxBuWbmhpBijT/Pn0HaV0Uzs/rttw89cUCefcnb7G5SYM8efhsv+2D7fhEtj371UJ588el1l3/flRn2W278L4hbj1JhjberFQ3JhqqGxT1Ryqrrrp16njO+sG45TL60/mebby474xeCcFRH49fISM/mZfy8e4DbTBJt7YNlBVUd/duOfX8f9NXy7/fnm3tU7qWeI+rcflQjY87Wihg7X41NmFFEEATZCOV7Hkf/WiufDbBq4yj2zigdws55+Bt9cuUHh1I5AEFiRhxorLHO1rZ5Nmsu9j1egXedFcADvG0WmveMdYatg8/u7cUNajH04zH9WOUVd+itZ7zhGHB5mkwhRfMP+ahGYBvAHDueOyjefLphBXuTZKuCtK978yW76Z5IbmubRo48OYCpRz0T6UgZMa5h2wrv++1qVBuvhe9jjKgM2AWBPT2RB8jQCjRTMXeD9spinQo5GQigET4xj//ULLAPohHd+jCvIYIKBaiJFJVVeWAO0BBKHegGkSBnL9fJxv8LRzIyKa6QlsUrrHkClJ8oS/0E5sergWoCsAJNQ8gEfqOogewCbDV4Ycf7oAk6SgxACGZyjQUSlEzwWaMorst6CPwEMVU+optGwDGmWee6VgldejQwXkfmx7gjTvvvNMBR2xtxdtG8X/mzJkOHGP2VcMnwBVBdkX333+/Ayy51VsAg5gn2DjtuOOOznUw/kAZPPbt2zdet6zv0x5qMR07dvQBHoBKs2bNcv6Z16EbA/oBbkBRSivKYMUEYIVSCzknHwAP2M9x3YkoZ+n23Y9YmlGs19CZfg/IBwCD+5Xz2oIvh6PexZxkPvPlcEAtxp/5g50a14tyEttjgXG29s1tjD/3KDlwB8oxF110kQOroChjC1TDAIl4H6glk8H9RP5YP0zADDUg1haupXnz5tZukD8Ubmz2XtYD0thI/Y7aHWPlDuawhpmYX7YAtGH8eRw3bpyvDdsxYWyj7sg66laEcrd7ww03CApYrJOAY9xnzFU+f9iGBRvXFsXWkwFgX1TjsKND4QzVKXP95fMUq0w+S5nzmVbB2nqynztXav4+EAFCuTM2tb4ndeuuk/oNJ6sflEtqzbVu2LBRFk9ZKAvGzZO50+c4P+xNmDDBkfTjB4tYASTELw98Y6Bjt07SvncHad2tjRQ0SL/oYFMRsqkH2fqnQaFWBUVSlOf9YdO2fzLbggChwnrKck1ZntWr6/1jZHlVuaypXCNVG7zf7kzmnNG+4WcgSD2IM60qbSHLFSAURZSBKANRBqIMZD4DESCU+RxHZ4idgXkryuTyZ6b4dvr7UV0UaJI5pR3fCUPeAPwBBOKOdG1j3G0FPX/1f0tkzLeLfG8/fWE/8SIuvl0S2vBfVXS+TxWfbXHs7m3kr3vVXAUKYAegBzOwc8J+xx02OKIwv66MUjBRIvGLUiC63aJAZAMI4rV366sz5Ne5Xlu5vh0by5XHhmupFa8fybyP/RE2SLY4eMeWcuYBHWxvJbSN+c994I58BXqNHryje1Naz1/872J55bvFvjZQzwLESDee/lLBN2O9oJ9u89B+LWXgH1LPj27n9IfGSdV6r4zMX/ZsK8ft0Vb+8dQkWbTKay/WtqmywDttiwXe9wryuscCednuF33OsB9t/fx9r+Zy7iEdwz5VUu3NV59rl1k+12wAmU1tKF3Fq4c/UKpik7yAWQelJHeHUpL7USku3aWUl8y47nj1DfL2XnjJ3Cd6HWXALAgkm5EIEEo2Y9WzPxACMAJWMHPnznXgDFQtgG2wOQNyAfrQlli6l1hPAS8BOADiAEQAxQQBPvq4oMd77rnHASpQH7BBG4A+FP5jFf8pZgL+UKx86qmnNp8K9ZXHHntM6DMQE8ADagjxLHI2N+B6guXSLbfc4qgkAJsceuihDsCj1VX42z7WXSUlJY5tFGCGLbQFFv1CGYegCEuBHnsiVJNQQ0GNhutJJSjoY1uEEhDF27322suxC+PLxwTWXKj+YHGGoogtAK84jjYAmzQQMWfOHEdJCogJ8AClqwsuuMABhmztxNoGKIGaCopWqFYwLtgYUZDWY6RhJtR0UGCxhQavsJhizupAiYv5xfiTB+y6mE8m3KP3j/UI0AFIwRgx1owvfT/ttNM2H8a9g4oSdnfAQrZAiQW1KEA7bOcI2mM7QBt97d27t5xxxhlOf1NRxEFJ6a677nLUnwBugFKYDzvvvLNzPuCzfv36OTAd8zoIlkMZBKgKmA1YJOwADGJ8n3zySQcQ47OH+UTfNQzEXCZP/CNnttDgFXOUccpEcB8w/q+//rqg6MIcAuBiTuoxAqhg/jFHWFttwdgwthzHnM5GYGMI0Afcd+211/pOiY3VCSec4EAejAd2kQT3OECdvj7fgdGGWp0B1k8+37G7BN7kM0l/DgDkAWVyH7z99tsprf+1Onm15OLM3wciQKiWDGxNuYz8gkVSoJSE6tYtqyldjtnPpTOXyryxs2XmpBnOD1b8wAhdnGhAafKDPCR8lx5dpdOuXaRFp5aSVy8v0SYC9zMhoVjqQbZGwgaFllWWyNyypbLWZW+mz2uqBwEGVW6olIr1FREcpJOUQ49B6kFlFQ2UelBLWVcR/XEyh4Yr6kqUgSgDtTgDESBUiwe3hlzayjWVMmSU39ppkFLI+INSyqipccOL05RNj/dn+h7tG8p1x2/6A3ymruvj8cuVMo1fuSIMVY8lxRWCrdCaMv+XGPp1biKXH9M1U5eVlXaXquu7+IlJvnPZLJ3ufGOmjJ3l/dJKMkX9hUrF41KLisfgwzrKfj3t34L1dey3Dde8MFVmLPZaPe3erUgu7t8l6JBq3x4EBtKxPytA5XgFqqQaKGihpGUGSlD1FcQVRlz7wjSZvth7f7dski/3DQynSPLK/xbLi9/6AST63n+X1nLKfptsvtK5lrMfGa9+59rgaeIYZTO1a9ciuU4p85hhnrdUrQPnPvaruZscrizKTlNWZdmIQer85np0lMrPySHkJ93+X/j4RFlR6lUx7qcs6C43LOjuemuW/Dij2HM6VJpQa0o1Rin1oo8MFa1WRfly7+m95O2xS+WZLxf6mg7jM8LXaLSh1mXALAgke4ERIJRsxqpvfwrGgANAM0AZjL0OtyUWwEMm1AEAbYA6gCK0RZg+v35EWQTAAWDgp59+2gyO6Pf1I8AO0BP7h13QxqZq8ODB0rZtW9lvv/0cdRf6QtH0gw8+cB7ph7Zui6W6smLFCkfNA7ueTCizaKsz6gf0FfCKQi4qMsAyQDIENlzYNgFnBFkHYZfFuMSCs5zGUvgf8wt1GPoHFIJ6ErASsA+wGblEkQjgikeK1D///LMzBrbTAeq88sorjhoVilNhBnDIQQcd5ChoYGcFGIfSCmOJrRTjCNBEQf2YY46JCV4BxaCUg3UehfWwg8I9hXzADu4J5inQCvfE9ddfLyhCESgsDR8+3AEBAfxs8emnnzo2g7HgLNtxiWzj3geUYcywh0P567333nPGGGiReQlkwzxhjQBqigVeAetg3QYgxJfswwxAuAMPPNCZi4w/QA12hYBJKHCxPmC9x/zknmOtxOIQhTBb8D5rLQBOtoKaYrNmzRw40HZO5jTrLPcZtoKIFUQRZYA5jXIg96lb4IL1DuAWK0w+B6OonRkwfx+IAKHaOc45e1V16lRJg0YT1IepVzI5Zzsco2NrV62VWd9Nl3mT1Te8Pv/C+ZYFEqrJBj9YQPwi77fdjttLl923kyatw/mhd/uG20jbgk3fmE0WENLXERYolKh6UKQapDOfm4+x1INWlzZ31IM2hvId99y8/qhXUQaiDEQZyKUMRIBQLo3G1tmXSqVgMVApWZhBAZyCdE2Ncx4dL2vLvcX3g/q2kLMO3DajlxRk3XTHKT2kQ4stxZ1UOnHbazNk3ByvUg3tNK6fJ7ec2F1aNSlIpdmcOga7O2zv3AFUAlziDuAeIB93oDKEekoiETTvUWBCiSmZsPUlF1RUYl3DqrVVcsHICdZdTv/DNnJYv9T/+Pzl5JUy/P25vrbvHbhDKHM0CGoM8/5+/5dl8sRnfsiJi/qTgnhQokk3Bo+YIMXrqjzNHLlLK8lX3yh//QevAhM72dStrlLA4Kwl3r9fdG5dX249sYen3Uy8UELMMsBik/a3fdrJMbsmdw9lon8PvjdHvp6yytO0TclqmFIAG28ogPVRCmD/SkMBDAAIEMgd2mrSpm7HGv7IOX3cu0fPowxYM2AWBKw7xdgYAUIxkpNjbwFfUJSn6G0LbEN4D6UU1IXCDiALYBpUCSjCo/hzxBFH+E6DcsiwYcMcSAfbLVs8+OCDTh9RO0GBJazQ+UHt5957790MUaEmBFTltpQCegAYwC4KNZhDDjnE2g2gEqATvjwcZlDYR/UHWAZYQgcwA9AItQgAElShsGwCIgEEwCoGwMEMVH2AWTg2KO/mMYm+pj2AlWeeecYBhDiOAvQ111zj5BlLo88//9xRuBo5cqRTiEahhf1t8fLLL8uAAQMchZeDDz7YtkvK24BDAFRQqtJWS1iNMSfI3dFHHy3AVEA4qD4xZ9wKUeaJySdjgrVekHqPeUwirwFWULHi+seMGbPZrot+A4Rh4wYQCJiDShjgFTnnGrp06eI7Be9hTQVsFpR330EJbkDpC9si7ikgNB3MC5R6gLwA27p37+7AWKwTwDdAVTbwBiAH28RYedfnSPbxxBNPFGAp5qNWhuLeAJBALchtzQVICNzkVogyz4eKGNeNcptWSjL3SfY1KkGAaljTMQdYt6kh6tA2bFwHCmW2oN/0f9CgQQ5MaNsn2rZ1ZgDlOD5b+YxjnQOYDGvubp0ZrRlXbf4+EAFCNWPcalUvGzYapxRyvH9sqYkXOGfsLFk0YYF8+dmXDhmP73GqwY15gJIA3XmXnaXHvr2k3Q7tpV5BvVSb23ycVhFat6FC5pUtk3UW9Z7NO8d5AijUqX7rlG3HbICQaS0WwUFxBqGa344FB1VW5cvKkpZSss5r4VDNXY5OH2UgykCUgVqdgQgQqtXDW2Mu7syHx0t5pRem+ZOCJE6ooXZVQUo0qGqgrpHJmKTglpsU5GLG1cd1k14dUldofOGbRfLa935ogPNk01LIvK6wXwepa/z9qM7K8m7Lz6inKjBB/R3ME0AJwAmJBspZwCbuOKBPCznnoOQgsgtGTZBVa7ygRzZVXNz9T/T5ekV3nPagHwzk+KFHdpI9t2+WaFO+/X6eXSJ3vD7Ttz0s+6/PJqyQRz+a52v/4v6dZfduW+aIb4ckNgRBTjRx/F5t5c+7p66wpLsxdPREWV7inX+HKHu3CfNKZYEBv2n1GX2sfrRZ7fFeNtRoVivI7HwLZHa2un8OVPdRdcdHSs1tlEXNzQStrldqc1MNtbnfKRWnf/yxS8qX8KKy2XvFsNnTFoi3vDLDGWN34+kqFrnbip7X7gyYBYFkrzYChJLNWO7uD3Cy5557OtDGFVdcEWpHUarYY489HMUKYAYsr7ABowhpqlesWbPG6QdQSxAAADgArAOcAUgQVqBuglIMVksmzKFhIHeh/7///a8DKjRu3NgBCmzWa9gLYTUEZBJmaJAG+zfzvGPHjnUUZbCc+vjjjx04RNt3cR0AK+b10TfUWKhDhK12BMAAzIBChRkoHV199dWOyg4ARmFhodMHwCvs7f7xj3+YhwjXx7g//vjjjl2Sb4cUN6D4A8CGjRpQmDt4D2gJkAVbJvLJNQGMoDKDuhRKQWYAj6DKw/hrKzVzn1Rex7oHAEi4x4ACsclizEeMGCEXXXSRo3jzySefWPvCtRQVFTn2U6n0KegY8gkQCNRkhlbiYg6TW0AE1KaYCxyHHZ8ZwFbARJlQOwKeArri/nIHYzzw/9k7D/goqi6KX0gjhIQQQi+B0HsVKSIdBUUFG9hA6YKigiAW7FixgFQVKYKgFCkqKk2agAhIJxBKCpCQ3kjne+fxTdidmd1smYRNcq8/3J03M2/enJnd7O7855xhw+R+wJlr/vz58pgCwIEjD1xX9GA1vIfByckotyO8lwAAArgBpzC8X3p4eMjXEKLZAFThtYNjDigQkBDeB9QF+AMxeXifhZ56IJZ6HZ5mBViB4quA+vsAA0LF91i77J4FlD9LuaWjKSdXa2/vsoNWDSwjLYPO7jxN54+ek1aZ+ECGP7jOFKzbYBPZtH1zqtMhmPwq+znTXd66gIQycrOdgoOUzpxxE9IDhEyjxRgOUlR23UdL0WIYcXKaH8UlB1J2jofr7gCPjBVgBViBYqYAA0LF7IAW0d3Ri2LBheqnu9coknt06EISfbrhgmbsrw4MpmY1y2najWzAhf2XdaKrnIF4LLkSYdwD2lWiwZ2djzsyUgNn+opKzKSXlmhjxro2qUBjet+wyb6SkEETl57WbGakiMXrbkcsnh4Y0Fw4h0y10zlED7CDCxHciFy5Hp91RHd4zsJsiP5CBJi6XhHRTi1ExJOzNXPTRdp3Rntjz0LhMgUIw4iy9B6Cvod0qUb3tnXeXW3i0lN0JSHTbLi1AstQeEy6WRsm7m4dSE921caGHTiXSJ//clGzvDPvN5rOLDRYOs5qmM/C6gXeHBmXQZOXad8nHhbuTw8IFyilpv4QQmEqzTs19Kfxd9VWFrH7EQ5QK/doL6wte64l6f297dpYvL/1ufH+ZvfGeIUSpYD6goC9O8+AkL2Kue7yyoVsXIAGKGNkffLJJ9JBRnEQmTVrFgFCgrsOXG7UFRISIiGR9PR0gltMdwGtmBaitQCV4MI2gAYjCr/ft27dmqZOnUpwEVGXEuelhpIQyfXss89KJw/EZlWtav5ZDS5J6BvrGVlwJsGYcO0BcWjqwnGEewxcYQ4cOCAjs+CCAzgIrkM4BqaQkBKHBigHIImRBXAGcAzcbfRKcTzBI8Z1+fJlCbjgEbASYDDTwjmDZRGpBVDEqILTU8uWLeW5hfNAXdAIYBIchlatWkX9+vWT139wviAqCy5calgLWgOM0oOj1P3bM628huCmg/NWXQBDEIEGEA/bDggIkMcVoBBcpeAgA8BEKThOIfoL7kNw8DKyoNPZswKeFkCVXkHrmTNnyvcdnLdw7IGTE+II4TIEpxvTwr7hPUr9WjRdxpHnKSkp8rU0cuRI+dpS95GWlibdVAD7wLULrkKIzcNYoCWgLUR3mRbi0BBLhvcqQD3O1J49e+S24J6E91LAlYC9EBsXEREhHdoUuA/7APgK5wleK3qlvKehX/W49ZbnNlaAFSi+Cqi/DzAgVHyPtcvuWfWK4ZRx/RJl5pj/oOWyA9YZ2NXQaAo/dJH++nM74Y+rM+5BSvcgePGFqVWbVtS4RzMKrOv8D4dK30Y/OgIKqQEhxT0IoFhWbpY8H7IFyMTlmgpYcw/CiBNkvNjNH0tdcy94VKwAK8AKFC8FGBAqXsezqO7NK+ICqfqidMcG/vTc3Y5fIL2VWmwQF2dX6FycnTO8KZUv67zDp7V9SxaRQWNEdJC6nulRg3o110YEqJdTT8emZNHrK85oooiwnLMxOOptucq0HrhT1qs0fT3qRsyYJYeaNx6sR42r2+7SpBdBVMXfkz57srHNUuQKJ54ndZx4jIJIbB6IAwtaAoScjcOLTsqkFxef0oxonAAuOgvwwtkaMf8YXcs0dzxrKcCjKQJAMqpCLqfS26tCdbszyonsleXifTdWCwPpbfT1QcHCgUwLN6ak59Dor49rVikMB6tV+6Jo7X6tw8KbD9WjhtVsfx1qBm9ggx6M06J2OXrl/uC8rbwkQK0oFagF0BDAoaP1+38xtGTHJc3q+Buk57rkSLShpnNuKBEKqC8I2LvTDAjZq5hrLo+L93fddZeEbeA+4eyFbPVeAqgAdAIXEfzODWAGF9XhGIK4sGHCmUNdiPgB4ADnDsSejR49WkImcBYBxABoCJCGkQVHo9q1a+sCN4iVQjwS4AR1bM+0adNoxowZ0n1m3rx50kkErkmfffaZdDkB/ICoKUcLTkVwYDI9Lgoks2jRIg1Ao2wH7jsYD9xu4HoDwAHHGccYoAsiqADYAC4AUIB2ACf169dXujDkEcf3559/pgsXLpC/v/ZzG+AUjAdgGIALxGHB0QqOLIA24MAyadIk6S6D+Y888gjB6QXnj547iqODRsxWjRo1pBMQYB+9AmwDdxYFvAJkpUTeAVYDkIHzFuc4XGgAiADmevXVV/W6c7gNrw+AN4B5nn/+ed1+ANfgtQOADZAe9u/BBx+UbkeIpIILDsCQq1evEtxnALht2rRJOnjpduhg45QpU+S5pud2hS4xLoB0uJaGMeC1jfcMuCBhbICsEEUGdyfAOTj+np6e8lzB3yAjC+ce+sZrQa9wDuO1COANY4F7GFzRAOPh7ykcj4YMGSJdffD+hAgvzAPQ42zBjQzAJF4npm5U0AjH9d9//yW8F0FvAEk4tnjPUFzE1NvH8YCL0Ny5c6XG6vk8zQqwAiVHAfX3AQaESs6xd5k9LQ6A0Lm9oRQdcplW/7RafpDFBxwjChaPsHlt2acNVWlUVUSxuRnRbYH1YQ8oZAoIVfT0Iy/3MpSak0GpWanEYFCBHSJDOs4PDsrM8pLxYinpzt/Va8iAuRNWgBVgBUqIAgwIlZAD7eK7+d6aUDoZmWo2SvVFVLOZLj4x989w2nUq3myU/j7iB+Fnmpq1FdSEXvyVo7FEn2w4T4cvJGuG6u1Zmt4f3JCqlPfUzCvqDRsPXqUfdl/W7AYifxD9Y+ni++xnmpC/j+1OmCtFbNt6VWybW+lStGRcC822LTVYAjQcBcIsbacg2i0BQvNGNCVfb8dBurTMHBo5XwutGAHWHBfxW9NFRJO6nuhajfq1Nu7mnIi4dJqyLES9GTk9XERo9TQgQuuNH8/QuahrutswbQwo50Gznm5i2mT2/LWVZ+hCtHk/QZXK0HTx/lCQpbddbG/+yGZUroxr/AYy+48w2nM6wUwGD/dStGjszdf4eBERGG9wROB2EYP3tU4MHiC2j9Zp4/ecjfUz20GeKNYKqC8I2LuzDAjZq5hrLQ+IBU4iiFMC6AAHjIYNC+a9HsCEKeASGRkpQZvs7Gzau3evjLdSqwNgB2DQ6dOnJViE+KGYmBh54RuRTqYXydXrGj0NAAiwBQABdSwatgUYBBAIgBZAA9hfxP/A3eOjjz5yaDgAetAn3J3UIBUAAMA9AK3guqJXGAsgAYwDwA3GjdgpOLYgngsF6AKAAcAtwAd6MUl6favbEKG1efNmCVgBPjEFgZQ4NABJgCX0SgFeevbsKV2OsAwcZHD84YAEEAjjj46OlnAQnFMwdkcKzkMnT56Urk8AQhDRpNSgQYPkfuCcgyuQXsH9CiAQzokxY8bIRQCDAMKKjY2VbjLoE044gFng6mJ67uv1qdeG1wZccnB9qVmzZmbuRHDXql69uoSpoJ1eZWVlUceOHQnOSIBH4G6E9RB7BmgN/UJTRGRhWzhOeu5Zen2r2+Lj4yVcBActHH/T18jGjRulu80bb7whncPU62L6xIkTElZp0qSJBIVwvAEJAW4ClIeCUxbOM/SN449IPEcKgA3eW/Beh+Nv6qQEtyK8J+I9CfuhV0os3uTJk+V7ApbBuY9INMB2AIzw3gRNcD7jdWV6jun1aUsbwDQcv/3792sWx+sC1w/hugXnIEBqeF+AexCgR8QmVqxofmMRYLvevXtL5yv0zcUKsAIlVwH19wEGhEruuXDL9tyvbAKV9b5M6bnxRTZm7PS2kxR99ookh/Eh1qjCBxZYK7bt056qN69JXmW9jOq6QPsBKFS7TCXyc/O2uB1TQCi4bFXKput0KT2W4SCLirnODGvRYhhlUmp5ES9WSbyeXePHXNdRjkfCCrACrEDBKsCAUMHqy73bpsDnv16gA6FJZgsHV/amdx81zgberPMCnnhNOO5cuGp+wdyR6ChHhzn22xOUlGbuqumIo8dq4dCxRsehA+NC/A1icIpjXRYRYpN0IsS6Na1Ao3rVosV/RdIfR2LNdh3A1DejbzgMmc2wMrH1WCx9uy1Ss8RMAWNUFFCGLXVVuOW8UIBuObaMwdFlLAFCiEFytp4Srko5wl3JtAZ1qEIP3l7FtMnu58sFOPaLAMjU5azrkbq/+NQsGr/wpLpZTiMKCpFQztY7q0Pp9CVzMFOvz74tK9LQbpbjHpfuvESbDsdoVp0rQC8/J0AvTYcmDRg3xq+uLo386dm+ruM8t0W8xhfqvMZN3cZGLjhGaRnmjlTORjfuCUkgOJSpC3GQK/Zo4cfpgxtQUCXLv8Oo++HpkquA+oKAvUowIGSvYq6zPBxj4HwBiKB9+/YSGHH0gruje4Xtw10Gjhy4wA5IRV2AmACzwLkFEU8AOO6//37p1qFetiCnccEd27cUk4Vth4eHS7gAcAmggyeffFI64zgyLjiYAKaBuxOgDUAJ6jg1uAHB8QewFJxA9GrFihXSvQiRbKaxWQAG4JKDsSKiCmOFK4+9BbAEEBQclvAc5evrK+EZOD2hAHUAtgDghf2yBHYhsgmgjWlsFiAWRDQBEgL8ACAKkWOAsOwtACdPPPGEmTtM06ZNJcCjwCCKMxPGvmDBAt1NALJCFBmgOtPYLMBrgIFwTQiAGPoAIOKIy9G6deskcHTlys14UcBGiIVCbBgKrx28hqDPwIEDdccKlyVEisHBClCQUjgOa9eulccfjlFw6Wnc2HbHU6UfPOK8glaAV1D4uwLHHwAzAKMAqAFwyszMlK/jSpX0AXwANwDhANTg3FYKoAtgFhw/AC14PSAyzd4CvIXjbwpUBQUFybHDwQoFGAnnGLaDY6BXeM+EixggRwBBXl43rtPhvABkdfz4cYIr1qOPPipdnkyj/PT6s7UNjlE4twB86Z1TgMD69OkjtcH7JV5ngBMRGwiYEK9RAFgonJ9wOgKABl3V7y22jomXYwVYgeKhgPr7AANCxeO4Fqm9cCudQ1UrRFL69ctFNmbs1JbjdOl0ZJ7dn1EHAPaWyBdt37sD1WxVm7z9is4PPfXKVqOqnpYvNCiAENyDvEt7UlxWCqXl2GaLbpS+3I/9CuTnHoQeE1ICKDZJ/0O//VvkNVgBVoAVYAVsVYABIVuV4uUKUoEFwungL+F4YFqVhTPN50859sOjaT+34vnQOUcpO8ccTri7dSA92bV6oQxn8rLTFBmXYbYtRCshYsnWOng+iWZsvKC7eP82lejxO/TvktVdoQg2TvvxLIVGpZmN3Ee4kiwQ7iQfrz9PiBkzrToCaHvfTqDtSFiyrpvHNBFV1sjGqLKwmHSaKiL61DVpQB1qU8dP3exS0wUJCI0TriwJKleWPgJ0GWYFdLFFHL04xOoVvOiTJxrZsrrNy2Rm59LTc4/pLm+U28sHP5+jY+EputswbZz6QDABcLRU/4Qm0he/XtTMntAviDrUv3FRSjPTyYZvt0XQ1mPmfzPQJRxyEPfmKnUpPoNe/v60ZjimkV56MJujjm/Khv49l0Sf/XJBmcx7BNT5t4CH1LVwTHPy8iitbuZpVkCjgPqCgGaBfBoYEMpHIBeeDRcNOAcNGDBAxtM44nBixO7B4QJQhhpgMaJvo/oA4AAXDsRcmUI2RvVv2g+AGERDTZ8+XUIwiCZ66KGHTBfJe37o0CHq2rWrdEEBVKMHWAHaQRwWABg4RBldcFwBoIKYK7gPwZllzpw50ukJgMQ333wjYYYPP/xQRp0h9gzAgl5hH3D9A8siTsnIAtwFWAfHEk4/0ARxVohoU2LCHnvsMQlOINoKAI018AqxYYB1EDNlNFgHCA1AGiAUOBQBNlm6dKkEW3CNCI48uJk8LCxMxqHBUccaeNWmTRspJc4Xo+utt96S8WUADvFeAj0QawdYDrAK4B446gDyA0gGQAfRZnoF8AXgFeLO4HJkZEFDgFJ430PsG5yDACViLHiNIIYPUXYovN4AzwGowXHQK7wu4e6FPizBeXrrOdOG9wS8ZyMGDq97vVKWwdhwjqLg3IRzFdAijlGjRo3kuQ+gCEATXqdcrAArULIVUH8fYECoZJ8Pt2zvETNW2i2eUgQkkpNrTDxXYe4MA0JatW0FhMq7+1DW9RyGg7QSumRLfu5BGZllZLxYaoblH55dcsd4UKwAK8AKFAMFGBAqBgexGOyCniuHj5eAMUY1K3J7BzAHgI66RvaqSd2b2n/3orofW6b1ItvscTBKEO5Dr68I0cTeYNuNa/jQG4Pq2TKMIr0Mor8QAaaulwV4s2THJYpKzDSb1bGBPz13t+0AFla+LOCBSTrwwNi+teiORrY5xJy+LJxUVmmdVEwdSswG6kITcDLZ8K+5G0/9qmXp7YfrOz3KV5aHUHis+Y0kgCPgfOVoRSVm0EtLtK/tgoL/LAFUL91bh9qJqDtn61MBAB4SIKC1siUa0VLMnSOuZdbGoswDPDXq6+OUlW0OYRYEqKVs05nH5747SXEpWWZdKBGa2cLlaqhwu1IXAEyAmI4WwC8AYOqqHuBFl1TwaEVfD5o57MYd4urleZoVUCugviCgnp/fNANC+SnE8/NTIDExUToIwSll69at1K5du/xWKfT569evl24bgDBwcd20AJyg3dIFe9NlbXkOlxA4nHTv3l06mwAIsVajRo2iZcuWSRgAUIBeIaYLbjFw4NGDiPTWsaUNgAGiiaZNm0ZTpkzJWwVwCNxujhw5kgd7ANCAUxHchOBacvvtt+ctrzzJzc2VsA2ikrBPRhagpM8++0xGUynADPoHbAGnJoxvw4YN8jgiXgqwEyAcHAs4Iqlr3759EjhC/BvAIiMLwAmcs+DypLgtQRu48gAeA5AEZyC46CD2Dm0A7RB7plcKxIPj4ojzjl6faIN7Dl4POL+grVJwUgIIhPFDG2iE8WO/4K4D1yOc53oFKAoOSQBvjCyMAQDQzz//LMElpW8ca4wREV2LFy+WsCRcoTAOOB0B1kK0mboQNQhXJIBMAJqMKLyeANcBXAOQ2LlzZ3nMFcco5ZwD5ANnML2CixPeQxEbCK0VtybsJ8aJqEEcCzgJAZQz+tzVGxO3sQKsgOsroP4+wICQ6x+zYjlCAELeXmmUkJ5QJF2EZMRYqIgY+/Enafln1EHChy0ZMdb7RsSYZ1lPo7ou8H6sAUIxWckUnh7DUFCBHwVjN2CLe1Biqj/FCfeg3Ot816Kx6nNvrAArwArkrwADQvlrxEsUvALrBIzxow6M8b2IGipV8Js3dAv7zibSzN+0bhqAHgA/FEZ9Kba/X4zDtIIqlaHpgxuaNll8DucJOFCoCw4T7wmXHFyIL+5lCfS6s0kF2nEyXrP7D9xWmeAKYk9lCZepYcJtSl2m7iLqeerpw8LJ6BPhaKSu6UNEZFCgazvJApB648czdC0zN2/4Y0V81h0GxGc5C8nlDcjkyR9HYkS83CWTlhtPJ99Xl1oFaS8GaRa0s8ESIPSKcMlpYYBLjt77hHqIvVtUpKe7W7/YiHVeWyliFaOvma1uz3uO2Yr5TFiK5nukU1W6v33lfNYu/Nlz/gij3afNXXs83ErRomdbiGixHBq54LhmUM/0qEG9mlfUtNvaECLAwbd1wEG99ZsJd6hXhUsUFytgiwLqCwK2rGO6DANCpmrwc0cVAEgAYKBevXoySgjnlSsVXHLgbgPgxbT2798vo5sAvZhejDddxt7nAA4++OADmjt3rox9ym99bBvxSIB/4HgCeEBdAAEw79KlSzLyST3f0WnEacHpB65BiOoyLYBfgIcQkQaXFgAjgHEQD6aAF9WrVzddRT4HuACQBH0bWQ8++KC8VoPjpC5AIPfee690bAJ4g/MQMAmgEpyXcMFRRzoBtADkBKjEksOTeju2TCOGq3LlyjRixAgJ/qjXUWAfAGkAmrA8niMqDi4xcPJR1yeffCJBE0B4jkSzqftTpgGyAASDoxGuW5kWQBU4CAGeA5wF5yi8Xu6++27pKASd1bAd1gcYh9e/0W5XcC9avny5jAk0HSeenzx5kuAaBXAG8BoAG7wG8VrEMcZ5Cxck0wKAg0i+jz/+WEapmc5z5LniGoW/yQCDoBte2wAE4cKF1xIKjkZbtmzRgE6m24SjF6AtvIbU7kAA4XAewEGLixVgBVgBRQH19wEGhBRl+LFQFVAAoYzsjCLpInR+fyhFnb5Ca35aLS0VYQtqROGDHvKYW/RpTVUaViM396IDXVgDhJR4MSM04j4KRwFb4CCMhOPFCud48FZYAVaAFdBTgAEhPVW4rbAV2HIslhZui9Rsdr6IcyonYp2KUq3eF0Vr9kdphvytiHApU0gRLgu3R9KWo7FmYwgo50Gzns7fJWLtP9G0aq/WOQed2eNsY7bxIjrxuoAezqugB0u7MkaALV0dAFvGLzwpnJrM3UW6NwugkT1rWtqUWfvfZxLoq01hZm2Y+HxoY6rsZ/7jtGYhF2hABNO243GUnpVD7YPLGwba6MEvdSqJGLjBDRzeaz3HHQ/3UvTdmBbiAprD3Vpc0RIgZJQ7lB64oh6MrZFdS3deok2HY9Sr09wRTcnP213T7kzD26vPUsgl8/g/9DdTvL9VFO9zrlaWgCY4sVXx9yS8B6jL0fcTpZ+LMdfo1R/OKJNWH22FwKx2wjNLjALqCwL27jgDQvYqxstbUkCJbAIYgfgeVyr8Lg83GcTxoBBJhBgswAEVKlSg2bNnS8DEiDErDiDJyckSSPL39zfrFu1ZWVlmTjAAl3r37i2XAxyAmC6lAJAAfkA/iE0ysrD/cLU5cOCAdCRR933q1Cm5beh1+PBhqlWrFn311VfSbQgRT3CSgVOKUopzC/qcMGGC0mzIIzSIjY2VDip6HQJiAkiF6y/btm2Tx3jQoEESxhg6dKiEb0whERzzyZMny2MEoMiogvtOUFAQPfvsszK6S90vIBZAVoBWFOemixcvSp0TEhJkvNfgwYPzVrt+/bqEShBH9t9//+W1G/EEcBTGCVAIYI+6IiMjJbyGfQJgh/gwwFZwO8I+rlq1yuy8AeQGOAeOTojSMrKgCRzKLLlorVu3jh5//HEJzsDJB8daiT8ElANIR3FzwrgwdpwXf/zxB8HxypkCbNSqVSvpDIX+8HcVxw3vgzjGiMDDaxewEmAmPAJOgiuQHkyZlJQk9X3qqadc7r3UGZ14XVaAFSg4BdTfBxgQKjituWcrCiiAEBYpii5CsReuUtjBi7Rry05pQRgfr70T1cru687ChwBQ7K3atKJG3ZtSYF3Hbal1N1DAjQwIFbDAhdx9ftFiGE56pjfFJVekaxk+hTw63hwrwAqwAqwAFGBAiM8DV1Bgr4AcZulADjOebERV/YuWW40emFC5vCd9/lTjQpN61b4rtHZ/tNn23IVjxWLhWGGt/hNuNB/ruNFgnYKKC7I2nls972cBS/1kAZZSj+3Nh+pRw2r2f559a9VZOnPZHHawJw5uq4Brvt0aoR4OzRvZlHzLGAtmaDbiwg3fbougrcfizEboTJRSjoiCenruMRFtbh5r1T7Yj168p47ZdoyasAQIvfNIfapXxXm3hK/FebNdnD+Wyq+sO80dbn6Hv6Vl/wlNpC9+vaiZPaFfEHWoX17T7mgDgD2Ae+q6rV55eqF/kLrZJaYBwb2sEyX4UMcq1ElEE05cqo2tc1a3KwkZuv3qCfJE1+rUr3Wg3ixuYwU0CqgvCGgWyKeBAaF8BOLZNiuASCW4ZCCy6++//9aNdbK5M4MXRKQTIqfgKANHHIADgAjghgKnHzi+GFmAAeBKo8BScP3AtgEMwP0DbjYAXhAt1bjxje8jAEYQFwQgCK4+gFtw4zKin+CKsnr16jyIyKixwvkJGigOMXr9IioMMWhwMlFcgQDWALABXIWILOwLHHngjgOYaPv27YZr+sorr8gILhw3RTP1eKEfQBHFFQgwFmArAFjt27enSZMmSaAFQAzGff/999OiRYsMdWXCmACL4NhBE72COxPi2vBawTI4/+DihOtHKSkpElwB7IL3Z0RWwTkH54/RcVIhISGEuLZx48ZJWE5vrIgKg044xoor0IwZMyT4AuAGYCA0RmTXu+++K2PLAGgZCV1hXHBXwrb03I6UccPlaN68eRL+w2sI70kPPPCAjJmD2xEi/LC/GB+eI4YMkWUeHs7B7NAF0Bdep3ADMy28F+C1g2g4xN0BqFPGidf4kiVLdM8/gFZw6ILLFBcrwAqwAvkpoP4+wIBQforx/AJRwK9sAlXwjSN3tyzKyBEuQpkp4gc7Y1x4CmTAqk6z0rPozI5TdPH4BfkHODQ0VBK/qsXsmoTlH+4CaNK+GQXdVpd8A423OrdrQHYuXN7Dh2qXqUR+blo7fHYQslNMF1jcFkAoMaUCxYp4setFLkDEBQTmIbACrAArYIACDAgZICJ34bQCR8OT6cOftTFJRl0Id3qAdnSAC8G4IGxabev60cR765g2Fejz3/+LoSU7Lmm28c3oZuTtqe/IlJyeTa+vOEMxyeZuNuikQbWy9NZD9TX9FfeGiNh0mrI8xKbddNQpZfbvYbQnxDx+CK4inz1pG1D2y6GrtHzXZc0YF49rQe6lC8DWRrMl12xAZCGiC00LEXkLhZOXI3XoQhJ9uuGCZlVno6A0HZo0WAKEPhjSkGoHljFZ0rGni/6KpD+PmDuNmfbUs3kADe9hm5MV3j/GfH3CdHX53GiwcKl4X9sk3t/U9eI9QdKBSt3uKtPPLzpJsar31ua1y9FjXarpOv04G1sXl5JFz32ndSbS02PSgDrUpo6f3ixuYwU0CqgvCGgWyKeBAaF8BOLZdikASCAwMNDQGCS7BmBhYbij4Dd+QCaAWFCIIALAU1CluMTMnDlTOsnAJQYuRs2aNZNRWXASQVQXoAIlqgmOPYgWgqOPUniNfv755zLiS2mz5xEADLZzzz33aFaD2xEikOBmAkBFHcOlrICoKUBfiJUCuIBau3atjPGCu4xScBhav3693E+lzdZHOK4Akjpx4gR5e3vTwIEDqVq1anmrKxDGiy++KKOj8maYPImIiJAACIAbRDx5eXlJSARRU4CzTJMi7rrrLhnbhmXsLTi8IPINjj44dv3796cGDRrkdQM4BTCVNXcaQD+IE4PbDlyZUOHh4dLRB045SsEJBy402G9HCuf9d999J8EzxL/hvDSNKQM8V6pUKQkqQXe9AqwEkAauO4hsQ2GMcB/CmJXCeQaHIbg42Vs4/gBosA28h+A8AzCl1KFDhyR8AychxQlMmac84rjA5QgOXYiig+sWjjngIjgaARhSqmPHjnKffH2dv06HCDi8r+B8qF9f+/181qxZ8r2nRYsW0pAAY8LrEa8pgEoAn0wLLlN4TUJ3vE9xsQKsACuQnwLq7wMMCOWnGM8vEAXcSudQ1QqRVMbrRtZ9UXQRijgaTpePRdDeXXulfWJcnOU7+PITER/ie/bsSS1btaQGXRpTlUbVyN1D/wJAfn3dyvnBZatRNU9zS1SMhwGhW3lUHNt2foBQVrYHxadUpOQ04+4qdWykvBYrwAqwAiVXAQaESu6xd6U9t+QKMeW+utQyyPkf0gprX7NyrtOwOUc1m7u/fWV6pFNVTXtBNfwtgJOvBHiirs+Ei1EV4WakV1/8dpH+OZuomQXnofcebUC1KjoPJGg6LwINrwpo6uLVG983LQ3XR8TgLRBxeI7USgGyrFeBLG4C7FkiAB9bapWItFurirTzROzVWNvWt2UbRXGZXwU4tUwHnPpubHPydCCCe7GAaf7QgWm+EFFulQooyu3puUcpM9vcsQjH4tMnGlG1CvZfYFIfR+gDnSzVy+L9t7Ud77+vCWefC6pIvqBKZWj64IaWNmF3+6ivj1NquvlNYYG+HvTlsPzjE+3emIEr6MW54b31tYHB9PaqUM2WED/WuIb9jmRKR6kZOTRqwXFl0upjUXTqs7pDPLNAFVBfELB3YwwI2asYL18UFQCkM3XqVDl0gAeAN/Qu5Bu5b4Cl4FoD9yC4hnz00UcyKkrZhuKIgpuK4XqjFOCBPXv2yCgiwCEPPvigU25McKpBQgIAID2nJMRyIZ4LEBKcgvQK4EPnzp1p2LBh0jlIWQaRWBgrnGiaNm0qb5C2BBkp6+g9IpoM7jiAg5TCexsgGoA8KDgr4dgh9goAFcAWvZo+fbqEQRB/BnBHKYAycB/C+nBNAizjSGF/4UoD9x/sK2AOjBUuTABmANtALzjJAFaBS5OeJgBi4Mpz9OhRGZuFPpRC9BQAMuwznKgqVqyozLLrEVrgHwrbQwE8gRsRjicK5yXGDnjujTfekG3q/wECQqQcQDEAPEpBA0SPAWxD5Bj0dsSNB6AaXIp27dqVpym2AWciOAJVqVJFjh/X2HAewwEI7j96BRhq/PjxhNf88OHD8xbBPmBdvC4BDLZt2zZvnrNPlLgyxblKrz+AYICn4AgGCBBxeRjHuXPnJAgEgA2AFo7T66+/LqEmvC8o0YN6fXIbK8AKsAKKAurvAwwIKcrwY6ErYBozVhRdhNKT0+n8vlCKPB1Ou3ftlhm7+MBjb7m5uckvAiCS67YIptrt61K5gHL2duMSyzMg5BKHwZBB5AcIpaT5iTspAyk7xzl7TUMGy52wAqwAK1BCFWBAqIQeeBfb7eikTHpx8SnNqMbdVZs6N9SC45oFXaTBEuhU2PtxLDyFPvj5nEaVtx+uT/WraqOJ1v8bTSv3XNEsj4ZRvWtStyYBuvNKQuMaAd+sFhCOtULcE9yuHKmtx2Lp222RmlVnPt2EKpbL/zPy0p3CUeXwzbup0VF5EQ01x8ZoKM2Gi0nDzlPxNO/Pm3cZK7s1U4AkiBqzt15aeoqiEjLNVguq5C3glwZmbUZO6MEw6P/LYY0p0Fcf9LNn+z+K+Lx1IkZPr8oJ6G2+ndCb3rmIvh1111KPa5c4pnN1jukDt1WmhzsWHoCpHpct01uPi9f5Vu3rHGNHlKG63hVQZnBlb3WzzdPZAlYdqgOrqjsQ1xXp+/Et1c08zQpYVEB9QcDighZmMCBkQRhuLlYKAEC4/fbbJWwBUMjd3b1Q9u/DDz+UMAscT8qX196ICRcRxHHBHQXuQkYXXF4GDBgguwUUg5gydeHGaMAfCtgC9xa9gn4AVjBWI+v06dPSlQZwBJxyANXAqQiuKoBvAOQoMA/ciYYMGSKhoTVr1ugOIywsTC5vzWlId0UbGhFPB6gDaREAUOAaBAcoRK4hOg5j++abb2RPY8eOlfFRAMHgFKRXALMAaFlzGtJbz5Y2RFdhDNg2xgctv//+ewkMAUIBSAP4CAAbILKrV69aBa/uu+8+CVjBpQnnipEF3RDFhdg6wFcAzj7++GPpRgWoDa8RAEj79++nHj16yPFaAq8Q0YZl0Y8lpyFHxw64CLAXnLJMNYiKipLAGiAnQG16BSAI5zauFyJWzs/Pj3CuAsrDvsDJCK8xwFbQGLAWoC0uVoAVYAVsUUD9fYABIVtU42UKRAFTQAgbKIouQvERcXTxwHkKC7koPxzhDzc+YNhaIPxhGwg4qHaDIKrVtg4F1Aqg0m6lbe3CpZZjQMilDodTg8kPEEqQ8WLGZm87NWBemRVgBViBEqgAA0Il8KC74C6nCbeDkTpuB8O61aA+LR27i/FW7KYlKMGoSCBb9+lizDXd2Bq9KBlLMBG21btFRXq6ew1bN1sslwsTWk794YzVfevSyJ+e7Vvb6jKWZh4JS6aP1mnj9aY9WI8aVc/fQWTBlnD660S8WfdVRUTZDBsjysxWLEYTliLBAPQA7LGnwkXU3Cs6UXP3CWewRwvQGWz8whMUn5qtGSrgL0BgztZaAaasEpCQXnVvGkAje9kWL6as/09oIn3x60VlMu9xQv8g6lBPe6EybwEbnwB6xPuVuj59Ujgq+Xupm11qGrGTiJ9UV10BAQEsVdfHjzeiGgHO7dOTs4+IC3Tqns2nqwsnqk+EIxUXK2CrAuoLAraupyzHgJCiBD8WdwUACeH1UpiFqCMAAXoOMhjHggULZHTUhg0bZAKBkWMDBAKYBWAC3Ha2bNkiY7b0YtUUhyW4lQC8wZjVBXhnxowZBBjCNKJKvZy90wCXzp8/L91jEFGlFCKtELGEqDGALUpheQAVn376qQRglHbTRzgNASwBdGJkwWkHDjCIr0I0m1KXL1+W0V2Ap958800J5EAnXBtCwfEG0XLqAnCCdsRIPf/88+rZTk0DNvHx8aHNmzebnX8YC4AcnJuAm+ByBWcbONxAN8BKeq8TwDsAjY4cOUL16tVzamymKwOGQUwbzq8pU6bkzcL5qzggwZ0K48Z5pzjxTJw4UTof5a1g8gTRZOj38OHDJq2OP4XzFIAdRKBhXBgHXH7gVKSAQnitIdYOjkrKcVdvEc5NL7zwghn8g/4AleF8ByzXuHFjuY9wDuNiBVgBVsBWBdTfBxgQslU5Xs5wBYoDIHQ99zrFXLhKEYfDKCI0XJLL+AAUHR1tllerJx5sD/HHHFRwjeCaVL1ZDapYtxJ5eNl/V6Re/7eijQGhW6F6wWzTw82DfDx8yNPNU7OBzCxPGS+Wcs1PM48bWAFWgBVgBQpPAQaECk9r3pJ1BZ746oj4Ecx8mYc6VqGBt1Uxb3ThqR92X6aNB7WRPUvHt6DSBt/9aE2GuJQseu67k5pF1G5AALMQCxSdaO6MghXrVfEWrjgF546iGZwLN0z9IYTCYtItjnDQ7VXowQ6OnaeXBTgwSQccGNu3Ft3RqILFbSozvhTRcPtV0XCADhALV5Lr7JU0evOnsxoJpj4QTM1r2ee0+4t4TS8Xr211vT4omJrUsK8vdR/Wpl9dESLi7bTn3Tzh7OMrHH6cLbxX4T1LrybeW4fa1rXve1pyejaN+fpmXIfS712tAumpO6srkw49Rsal0+RlIZp1W4kItMkiCq0o1POLTgr33CybhmqES9SI+cfoWqZ1QgjHGMeaixWwVQH1BQFb11OWY0BIUYIfWYHCVwCxQq+++mqBOMgoMML7779Pjz76qIxkysjIoL///lsTr5adnS0dVwBhTJgwIS+WylQROC8tWrSILl26lAdFmM535PnFixdlNBncbB7PpSFaAABAAElEQVR55BFNF506dZKRUABwlEIkE2CMxMRE6TCDmC514ZoMwBdEyRlZgDYQHwYnIXXhmhFixaDPsmXLZGTWypUr6ZlnnqE6depIqCkgwNwBFtFqcO+Brg8//LC6S4encZwBSA0bNkxCYeqONm3aJLcHIAuxXtWrV5fLIpZt8ODBus47cEICJAOnJIBHRtUvv/wijz3crQB/qQtOUADpEDWHZQC84ZgDrrKkG5YFlGcEIIZjBNciOIBBm+TkZFq7dq08zhjHDz/8IOdBR2wX5+yff/6p+xrB6wznAqAwwFlcrAArwAoYpYD6+wADQkYpy/3YrYBPmWSq6BdDHu43ftQuijFj2OncnFyKD4+jyyciKSbiKl08f1Hm1CKrFhQ4YsdgzwhSGF+o8cEL9HjNmjXlv6rB1ahyw6rCOagieZTxsFtHV1qhvABKapepRH5u5nd2nr12haIyzO+OdaVx81j0FbDkIpSUWp7ikitRTq7zP27rb5lbWQFWgBVgBWxRgAEhW1TiZQpDgTHfHKfkazlmm+rXOpCe6OrchWWzDg2cyMq+TknXss3+6UUa1axYhj56zHgbf2u7YileZkiXanRv25t3y87aFEZ7zyRouhJfOSRgUsdOpxVNR8WkYdW+KForosYs1bMC5uliA8yjt35WznUaphMFhMgkxA/lVx+uO0dHw8xdVZrWLEevDQzOb9ViPT8qIYNeWqp1bBl/d23q1MC+2EI95xofAegssDOCy17B9RzJ3EqXoiXjbtwhbm9/6uV//y+Gluy4pG4mZ7YB4PCCyhEnqFIZEcXm3Hvgij2XacO/WviysOMbNWLZ0TDnjzDafVr7fqvXxbwRTcnX2zmXqHHCgSpBx4HKdHv921Six++oZtrEz1kBqwqoLwhYXVhnJgNCOqJwEytQCAogrgsuL4AGAJ1YchlydCjDhw+X8VxwNUF8F6CGJ554QrrEIHpMHbOWlJQkQQhEHMHN5t13381bBjFkXbt2ldFNv/76q6ND0qyXk5MjI9AwNi8vL818jAMxUYi/wnuVUnv37qX+/fsTEhwAjyD+SinEUWEarjzjxo1Tmg15BMQDEARgE7atLjjN9O3bV8ZFIY0CTjMYx3vvvSehEMAkpu47iFEDeGO0Kw/csgD9IF5u8eLF6mHK6U8++YTeeustGTOGZQAVIfIOABnOE4wL5w0qLS2NevXqJSPmsI9GFiAeRJ3hOAPAURecjuAIBN2VZeC0A2gH+wlHJ4BQSh09elS6cY0ePVrqrrQ7+ggYDdcCsX2YAqASEhLoqaeekq5cGAfcf/B6guMVnluLlUPsGxybAL3pnUOOjpPXYwVYgZKtgPr7AANCJft8uOV7r4aEimLMGESEzV9SVBIliMixuLAYSohOoKvRVwkfjJHRCkAIH+DxIRYUOMhr/yoVqELNAAoICiTfQF9y8ygesIXaRSgmK5nC069SWk7GLT/frA3Ay92LcsVxzMq5AaxZW7akzLMECCWkBFBs0s0LVCVFD95PVoAVYAVcTQEGhFztiJTc8UxceoquJJh/hrqzSQUa3btWoYiCz3BJaQB+cm5CP3LaHAK6sUx2vs4MyqA7NfSn8Xc5Fj+l9OHIo557BOAgQEKoXw4JV5RdN++QNd3G8J41qWcz87tOTeeXtOcXrl6j11ZYjhl755H6wnHp5oUEe/XRi5LqLvQfKY5DfgWXHLjlmFa7YD966Z46pk0l7nmqcMcaZUBsIRxY8FpSV2fxugacUpAF0G/K8tNm74tGQpNrBPS2WsBv6mojXGUmOegqs3TnJdp0OEbdJc0VwIufE8DLeOGIFi+c0UwL/aHfolLbjsfRN1sjbBruwrHNycu9tE3LWlropSWnKErHHc50+eE9alDP5kUnxtN07Pz81iigviBg7ygYELJXMV6eFXBeAcA4Q4cOlfFPgDMGDRrkfKeqHgAxhIaGSiBImTVy5Ehavnw5wQ0IEUnqAviCSC8AGG3atCE45iBuDA4/uFkaMWVNmjRRr+bUNBxZfH19dfsA5AF4CO486lq/fj0hLg03cGOcADVCQkKkqwwcWjZu3KgblaXuR29637599Pnnn0u4xhRcUqLYLLndoC8FvHn55ZclgIM2PJ8zZw75+flJsKR58+bSNQpxbpaOBdZzpuDGAzgMx1QBfUz7wzWvnj170v79+2V8V4cOHaQ7D44/ICCkY8DVCc45S5cuJYBj0BQOOUYWXgu44b5fv34SnNHrOywsTJ7HuPaG2DDsD4Cdxx57TI4Zzj1YH+5NOFexHCA4f3/7bkBQbxtwEgwBcB5++OGHZrMBtwFoAjCH1xWgILgaQR+AS3BG6ty5s9k6mICjF6AxODEZGdWn2RA3sAKsQIlSQP19gAGhEnX4XXNnTSGhouoipCibeS2Lkq8m0bWENPEvldLEY1ZapnQZKuVWWjoElfUvS97ynw/5VfEjT28tSa70VxQf1YBQUXEPQqQW4rRKif8yBSSEfyW99AChjCwvik8OpNT0grPkL+m68/6zAqwAK2CrAgwI2aoUL1fQCkwToEOoCnQoiPiTv07E0XkBfCSawj/ieUq6uXuRUftrqxOMUdtT+tG7OKwAVycjU+m9NaHKomaPPZsH0PAe+YMpZiuVgIkpy0MoIlYb94Rdny+cZMo5Efn01qqzdOayOeSDGCzEYeVXk5edpsg485so7mhcgcb2KRywLr/x3cr5T84+Im6yMR/BgyIObpAdcXD7RHzbTBHjpq4xQt+uQueCLsQFAuaLSc6kpiLODHFdRhXcbOBqoy5AmXivcKT+CU2kL37V6jWhfxB1qFfekS5lhB6i9NRV1NxvLMUJqvcL08uea6nXbFfbKyIaMdxKNCI6g9MYHMe4WAFbFVBfELB1PWU5BoQUJfiRFShYBQANALAAtIFopJSUFEIMGOK/CqsA48C1KCIiQsJJgELUBScZON4AhoG7EQqw0Mcff6wLPKjXN3IarkUAVKCbXgEcGT9+vASXMN/Dw0M6C3311VcSEtFbx1ob9nf69On06aefSrgE8AdgHqXgTtOxY0cZJQW4R6+gH3SF6wycgeDkgwKwgrEC2EEBYgF4ogdqyQXy+R+cfr755hs6cOAANWrUSLomwflHKQAtcIHCcYSblF4BtoHGOCc2b94sFwH4AtgFEAtujkcBFgLYohcBJhew8j9ANtAKcW84/9AXdGjbtm3eWojqglZ4bdStWzev3fQJzr+3336b3nnnHZo4caKcFRMTQ4ggA0QG4Ak38QN6mjVrFtWu7fxNAwB+AJtNmTKFpk2bZjoc+Rz7c+edd0owDaAfnJAQ0/fAAw9QhQoVJDzUtKk5OA+XIbhLwTWMixVgBVgBoxRQfx9gQMgoZbkfpxQwhYSKqouQqQCIHctIzaD05GuUnZ59I2JMWIq7e3lQmXJlqIxvGSotgKHiWEUVEMKxKOdZjgDFeFwnSs5MoaRs8x/7i+PxsrZPeoBQYqo/xQn3oNzrxfP8taYHz2MFWAFWwNUUYEDI1Y5IyR3Px+vP038Xk80EaFTdh6Y9WM+szZkJuDfAxaEw68V7gqh9sGMXxp0Zp56zDJxBnhOuJ4gBwsVqdSFS7L3BDQTqzqVW4Me9V2jdP9o7irGcsxfzZ/8eRntCzKOHqvh70mdPNlYPQzP9nHBWAURiWn1aVqRh3WqYNpXI589+e0KCgKY7D8DmqTtvXDwxbbf0/OstEbRdQIXqmjO8KZUv61wElLrPwp4+dSmV3l1tDgp6e5amb0bfvDhl75iSxe8WY74+oVnNXt1NO5ix8QIdPJ9k2iSfTx/SgIICb8RRaGa6aMOERScF7GX+elUP1cujNC0c4/gxUPrT+xugzFMeZz3dhALKFe2IemVf+LFwFFBfELB3qwwI2asYL88KOK4AnG42bdokQRs4zbRu3drxzhxcc/fu3RL0qFOnDiGqy8fHR7cnRKCdPXuWSomcY6Ndg3Q3qGoE/IExAnQBUGKt4EIDhxvAJUh3cKTOnDlDzzzzjIRUEBM2b968vEgp0/4AgSAW66effpIwkuk85fmqVaukQ9SXX34pXY6UdjzC5QaQEAAZU3ci02Xye75s2TIaNWqUdKCpX7++hGuQcoHYNTgVQYP4+HgJNwGaAYwCIEmvsM8rV66Ux7patRuutlgOsNS5c+ckJNSqVSu9VfNtA7QDpyw4LgHYgRvV+fPnZRzXK6+8QpMnT5ZtALEQ3wYXIGinVwCvGjZsKN2G9uzZY7YIXKTgegW3n5o1jbupBuPHuBs0aCABL7ON/n8CrlWAxhA/dujQIelaBVjo2WeflbF4eJ3jnMHraO7cufTmm29K0GnSpEl63XEbK8AKsAIOKaD+PsCAkEMy8koFoYACCeWWSqYUAWfk5BbMncAFMXbu86YCRRkQgotQOY9y5OdeltzFh7urGQklGhLSA4Q4Xuzmuc7PWAFWgBW41QowIHSrjwBvX1FgtnCy2CMcLUyrRoAXffx4I9Mmh5+vOxBNP/59xeH1HVmxoq8HffZUY3IXkH9h16fiovoh1UX1+lXLUpXyngTnEL1yNipLr8/i0nYuOo3eWHlWszse7qVo0dgWmnZ7GlaK83K9OD9Ny02cM0vG5d+vXpTcfe0r06Odqpp2VyKf67krdW4kosH62n6Xrx6A1bBaWXrzofrFQlM1NDm0W3Xq29I5lyLE8SGWz7SCBHw4XcCH9tbVpEx6YfEpzWpNavjQ64OMg0c1Gyighrl/htOuU/FWezcqOm362nN0PCLF4rbKCBjsWydgMIsd84xirYD6goC9O8uAkL2K8fKsgOMKANoAzBIUFOR4JwasCTeUGTNm0LBhw2j27NkG9Gh8F99//7102Dl58qQhbjDWRggnp1dffVW60MBBCPCNpQJI1L59ewmi/PPPPxICUS8L5x0c43vvvVc656jnOzONSLA+ffrQgAED6Ntvv5WQEeLfEHOFCDg41sDFBvFVcFKC+4214wzYCQDLkiVLZFSbM2NTrwst4Txk6mIEKO2pp56SDkvQGVFuqHvuuYe2b98uYSXoplfPP/+8dN8CZGVkPBeguRMnTkh3o3bt2pkd0yFDhtCGDRuk6w+ANb2Cq9FHH30kHZteeuklucjvv/8uwTaM1d3dXf6Dixj2HaAQFyvACrACRiqg/j7AgJCR6nJfTitQrWIElfVKpeLgIuS0GEW0g/IePlS7TCXyc7txR2BRiRhT5FZchLxLefwfEkoUkFCqMrvYPF7PvU452TniSw0JN6tSVNrdTXPHuRoQSs/0FvFiFSktQ/+ukWIjDu8IK8AKsAJFRAEGhIrIgSoBw1z8VyT9cSTWbE/9fdxp9jPmVtlmC9g4AXcWuLQURsGBA44M1SuUkVFGtQPLFMZmNdtYsCWc/jph/UK06UpPd69BvVtUNG3i5yoFXhXgw0UV+NBVRDGNEZFMztTWY7H07bZITRczhbtHxXzcPR6fdUSz3qOdq9J97Spr2ktaA9xx4JJjWi1r+9KU++uaNll8HhqVRtN+1EJhD4mYsoF2xJRZ3ICLzDgWnkIAcQAQ1qro/PvV0p2XaNPhGM3ezR3RlAC/2FNr9kfR6n1RmlVG9qpJ3Zvq352uWdiFGuBgByjLWgX6edCXQ5tYW8SmeXqQqOmKdSp70/uP2g9tmfbBz0ueAuoLAvYqwICQvYrx8qxA0VcAsU+IdYKzDNxjLAEZt3JPBw8eTFeuXJHQiOk44GwEIMPT01M39sl0WVuex8XFyRgpuNAgtguRUvkVoBvAN4MGDZJgDdxh1NW7d28CELJr1y71LKem33rrLQl3QRtT9ydEg73wwgsSSLrrrrukEw/abrvtNgLUBAjqscce02wb0BpcdxB1NnXqVM18ZxoQXRYYGEi//PKLWTfR0dEScELU1meffSZBMDzv0qUL+fr60o4dOyg4ONhsHUwsX75cglAAeoxw3woNDaVHHnlEuk8pG4MLFbTq1KmTbFq/fj0BEho4cCABWtMrAGEYDx7hDqWcD4ABsQ4gN7gRQf/OnTvrdcFtrAArwAo4pYD6+wADQk7JySsbrYACCGXkZLCLkNHiFmJ/pi5CRQ0QUlyE8BjoVpZKC5AmJSed4rIQOWb+I3UhSur0pgACIfIuKSqR0hOvUU5WDiEKD1VK3OWMyDsPb0/yrexL5Sr6kpuHG0EDt+sB5OkmYvE8r1FiSgWKTa4kPqxqv9A4PUDugBVgBVgBVsBuBRgQslsyXqGAFFglLgKvFReDTctDAMiLns3fRcV0HfXzM5fT6O3VZyXQrJ5ny7SncIjBRW0/ESckH/Fc+WfS5ivb3MjT3TUiVH/Yc5k2/nvVll2kbk0r0KhezkEuNm2oiC+09p8oWrXX/Bx9vl9tur2+v1N7diQsmT5ad17TB+L1ELNnqdIyc2jk/OOa2cME7NWHYS/6/NcLdCA0SaOPrZFweD/C+5K62GlLrYj59D+hifTFrxfNG8XUhP5B1KFeeU27tYaXlpyiqMRMs0XgfLNgZDOCy1ZRq8sJGTRp6WmrwzbKOW/WpjDae0bfLQ4D6NTQn8aLyEkuVsAeBdQXBOxZF8syIGSvYrw8K1A8FEAkF4AMOLHACQfxTK5UNWrUoOHDh0sYSBkXQIunn36ajh49ahXOUZa39RGOLoh8eu+99+jFF1/MdzXEXSHOC244lsCaNm3ayBgxuPwYWYipw/EKC9PeaAMgCM5Cf/31F02cOFFqh+Pco0cPwpgRb9ehQwez4QCSadmyJS1dulRqajbTiQlAaIg6e/TRR2n+/PmangDS3HHHHZSYmEiIGMNzaAWXoMaNG0sXJD8/P7P1Zs2aJZ2e1HCU2UI2Tly9epV69uxJGCfcowAkwU0JjlrQEdFgY8aMkb3dfffdtHPnTukkhHX0SnER+vfff+X49ZbhNlaAFWAFCkoB9fcBBoQKSmnu1yEFFEAIK7OLkEMSusRKRRkQgoCmLkIBwgmprHATSsxOo/D0GPFY9CChawIIio+IFXBQEqXGplBaYiqlpqRSWloaIXsYWcb4olfWtyyVreBD5QJ9yb9GBSpf1Z9yr9cggUpReZ8E6RwUm1TJJc4xHgQrwAqwAqwAEQNCfBa4igK/CceJ74XzhLoWjmlOXh6OQTfxqVn0jnARiVZdYFa2gX7bBfvdBH50QCA4AhXF2njwKv2w+3K+Q4djyHsi+udWxKDlOzgXXAAxdbtOx0sQDBDOXa2ci2PCLl6OF9DA91poYGzfWnRHowoWVYhNyaLnvzupmZ/fepoVimmDOj5L2c3n7xZQV4P8oa63V52lEAEYmlYF4ej0lXB24rKsQHJ6No35+oRmAbxWnrqzuqbdUsOhC0n06YYLmtlwOoPjWVGtCYtPUkxSlsXhB1fxpncfcd7ZJz8XObhgwQ2LixWwRwH1BQF71sWyDAjZqxgvzwoUHwXmzJlDL7/8MgGAWL16tcvsGOANxDkB3EEkE9xXMFZEoyGuCfFoTzzxhGHjBRACQAWwzKFDhwhwEio2NpZWrFhBERERVL58eQm7wGFGmde9e3c6d+6cBJkAlOB3eNR3330n46Uw5qFDh8o2o/733HPP0eLFi+VYAeCoC45IAL8QbXXgwAFq0KCBhG0eeOAB6boE5yNAOyhcO4BT0+bNm+nIkSPSSUjdnzPT9evXp1q1asnt6/UDkAnuVQCCAFu5ubnRa6+9Rl988QVhXWjfpMmNz/iXL1+mrl27ymOD9ZwtwGCffvqpBH9atLh58xMcnx5//HGCjj/++CP169dPOm3h/Khdu7ZcPiBA65h5+PBhqTsAI0S6cbECrAArUJgKqL8PMCBUmOrztvJVwBQQYhehfOVy2QWKOiCkdhGqUNpbal3UICHEiCVeTqCoM1co8VI8XYm4Ir+Q4IsL7CxhYYovTx4eHuTt7S3tOfGBvFZQLQqoVpECgytT+WotyN2rgbiQkkE5uW50LbOsy553PDBWgBVgBUqaAgwIlbQj7rr7u/NUPM37M1wzwA8fa+hw7M37a8/RiYgUTZ9oGNe3NnVulD8koLtyEWjccTKO5m+2HmWD3XjroXrUoJpll5oisKtFfohZOddp2Jyjmv14uGNVeuA2y3dYR8Sl05RlIZr1Xrq3DrWra34XrGahEtCwQrhobbDgovXSPUIjAQdaqsS0bHr2Wy3kglgrxFtxWVfgNRHHd0EVxxdUyZumCxjR1rLkgPP2w/VlHJqt/bjacnPF37ld4u+dpWpSw4deH1TP0myb2xeJ2M4/VbGdpiszSGiqBj+3VQH1BQFb11OWY0BIUYIfWYGSpwB+Ox4xYgQ9/PDDEhJyFQXw+zZgDLj6jB49mkaNGiUhE8Q+ffPNNxIeMnqsAFQQC4YoKTjZfPjhhzJGDNFjSgFgwfYRS4U6f/68hEEA4lSrVo3uvPNO2bZ//34ZJ4WoKkcK0JFexBb6ArQCFyVANCNHjtTtHo48OKb33HOPXB4Lbdy4kcaNG0cxMTEEIKZVq1bSaQjwE4AjOBMZXc8884zcPpyfcF1CrwA8LVy4UGqN/QK0hBg17B9gsI4dO0onIrj7IFJt+/btFBQUpNeVXW0PPfQQIdYMDkvqOnjwIPXp00duf+vWrTJ2Dk5Rn3/+uTzGGzZskPNM18M+tm/fXsJhyvlhOp+fswKsACtQkAqovw8wIFSQanPfditgCghhZXYRsltCl1ihqANCEFHPRQjtl7ISKVI4CWXmmNulY54rFeLD4iPiKPJoBEWdvyxzhE+fPk2RkZGUnJwswSD1eJHLXKVKFcJdDqDy6zSoSwFBTci/dgfy9Llxh/V1Knp28Or95GlWgBVgBYqLAgwIFZcjWfT34+D5JJqx8YLujrwhopYaW4la0ltpwZYI+utEnN4seqRTVbq/vWXwQnelItZoyX3DdDfg5mGEA45pn/zcMQXGLzxB8anZZit3byZglJ6WYZQzV9LorZ/Omq2DidcGBVPTGuU07SWt4Vh4Cn3w8zmLuz35vrrUKshXd74lYNGISDndDRazxqXCDW6TcIVT19wRTaVjm7pdPZ0gAK1xOoBWvSplCRFvRbm2HY8juFtZqtZ1fOnlATccAywtY0s7HOTgJGepOCrPkjLcbk0B9QUBa8vqzWNASE8VbmMFWIFbrUDDhg3l79ylS5cmQDpwlnnppZeky0xBjQ2RUojaguvOmTNnZAQV2gC3wFkG4ApuylUisTAOuA8h+mrlypVyHSwL1yDAOLhx15HCb/eIOgMcpS64KzVq1EiOCSCS4lqkXg4ADKCabdu25cWKAQ5644035L4goqxbt240duxY6ZKjXj+/6czMTAkWweUJcWHYb2ilxHJhfWgCSAiAF+AavYJTD2AlaBUSEpIH3iCqC3oD4sHxx/688MILhPPCiAIAhHFjm3r1ww8/SHgOMNWePXvkInCtWrdunYSpsN8AlpSaOXMmTZ06leAkhPOHixVgBViBwlRA/X2AAaHCVJ+3la8CDAjlK1GRWEABhGKykkUs11VKy8koEuM2HaSpi5C3iBhD1Nh18V9czjVKzr5GqVmpLg0JAQ4KP3SRLp66IDOX8UEZH/BtKfyhgEXrbbfdRg2btqCKwW0poG5b8vDW/xHelj55GVaAFWAFWAHjFWBAyHhNuUfHFAi5nEpvrwq1uDIiZRAtY0ut/SeKVu2N0l20h4AuRliBLnRXKoKNZ6PS6M0ftfCIsit3NK5AY/vo312pLMOPhafAWyLO6owqzqp5rXI09YFgi4M4EpZMH607r5n/3qMNqG7lG+6lmpklrOH3/2JoyQ5tdCFkcCtdiqbcX5ea1dTCVLN/D6M9IQkatb4Z3ZyKauygZmcKsOGf0ET64teLmi1M6B9EHeqV17SrGyxFJA7tVp36tnQ+1k+9vcKcvpKQQROXaiMFlTF0qF+eJvRz/m71NfujaPU+/b+D2NaCUc3Ix8tN2Sw/sgI2KaC+IGDTSiYLMSBkIgY/ZQVYAZdRAO47ChACh5k2bdoU+Njw+zpgFdS8efNowIABZtvcsWOHhGl69epF69evN5uHCbjfAGhyppRtIBEAYIoeEIOoNcSsvfnmmzR58mTdzQGwgaPRq6++KuEq9ULOjBWQFKLJ/vzzT6lX1apVZfRWWlqadH16++235eawjc6dO9Px48fl/NatW6uHIacR9/XBBx/IZdq2batZxpmx4obq77//nqZMmWLWr6Lh7t27ydK44NC0fPlyeS48+eSTMrXhvvvuk8cF0WcTJ06UEWibNm2S44drExymuFgBVoAVKGwF1N8HGBAq7CPA27OqgBoQ4pgxq3K57MzyHj5Uu0wlis5MpKgMyxbcLrsD/x+Y4iKESUBCAITSr2fLuVk5WZSVmyUhIVdzE0qJTaHwwxfpwpFzBLtL5CInJSX9f69se4AdKqw4kZ3bqHlbqty4M1UIakWlnPwCY9vWeSlWgBVgBVgBWxRgQMgWlXiZwlLg5e9P06V4y1A4ACGAQtYK0S2IcNGr/IALvXWKalt0Yia9uERrY479qR7gRe8LiMTT3bkflYuqNq44bj0gpaq/J814srHF4e47m0gzf9NCGDOebERV/b0srlfSZqw7EE0//n1Fd7e9PErTFOEk1EjlUDb66+OUkp5jtk5Jev8w23EHJpKvZdOYb7QRbXAsg3NZfvXK8hAKj003WwxfIReMbCYAraIPtbyw+CRdTcoy2z9lomuTCjSmt/PwpiXICtspX9ad5gxvqmySH1kBmxVQXxCwecX/L8iAkL2K8fKsACtQGApkZ2dLZx440gCWKayCQ0zLli2lC7/eNvv160eAeKKioqhcOS3QrreOPW0AUAD3JCQkSCgKDkBqJ6KUlBQZE4bHv//+m+rX13dyBMSCqLJffvnFniHku+yQIUMkHARwC+NFAcS5++67ZcQa9FFAn7/++ov69+9P7dq1o82bNxNSDtQFgKhDhw700Ucf0fjx49WzHZ7+6aefaMKECQRwCQ5QzZs3z+try5Ytcuw4vwBb6VV0dLQEoOAU9N9//0nHIJyXiD+bPn06ZWTc+I2kVKlSdP/999OiRYs0x0qvX25jBVgBVsBoBdTfBxgQMlph7s8pBRpXukqlPBMp8/rNH/Q4ZswpSW/ZynARSs1JL9KAEFyEfATs5Omm/VCqCAtQyJXchHKyc+jyiUgKO3iB/v3nX/nBNj7eMUgLGb74ktC1a1cKbtGRqjS9k8oGWL+wp+jCj6wAK8AKsAIFrwADQgWvMW/BdgUixAXh+VvC6VzUNYsr4UL+qF41dQGIU5dS6d3VobrrVhGwxZsP1pcXRnUXKGaN6Vm5NHzeMd29ciSyTbcjbjRMgZUCYFkvQBbTgsPNknEtTJvMnm8XEXpfiyg9deHCPwAArpsKrBZuKmssuKn4lHGTkBDiq1AnI1PovTXaaLLHulSje9pWutkpP7OqwGsrztCFq9r3criXtQ/2o3bB5Umc4po6HpFC09dq9b9TgDOjDQBnNBu8BQ3zBMSKGDu9sgWE1VtP3fbn0VhatD1S3Syn8Xd0moju5GIF7FVAfUHA3vUZELJXMV6eFWAFSrICzz77rIzWunz5Mvn5+RkqxR9//EEDBw4kOPCEhobSkiVL6OWXX5ZRW+oNwdkGDjdwGAKEozcWOCABZEIUmVF19uxZCc0AqjGNE0P/gHDuuusuevzxx2nBggV5m4T7zpo1a+jpp5+mr776Kq9deYK4sgoVKpi5DynzHHlMTEyUEW2IOIM+eg5UiIa7/fbbZSwcIKumTfUhbcBAiLeDCxGOjVI4/rhxOyIighBXVrduXWUWP7ICrAArUOgKqL8PMCBU6IeAN2hNgXaVE8nbK5Vic9PyICF2EbKmmOvOKw6AENQ1dRGypLYrQUJJUYkCDrpIx/cfpe3bt8svCpbGbUs77nLo0qULdepyJ1VpcgdVbtSJSBDvXKwAK8AKsAK3XgEGhG79MeARaBVYIKCHvwT8YKnKilgUQEK3mUTVxKZkiYiysxSbrHVlAGgx7aF6VP//AIClfotb+0tLT1FUQqbZbj1+RzXq34YhBzNRXGBi67FY+nab9mL+zKebUMVyHroj/O3wVfp+52XNvEVjW5CHO3/WVgujB2Epy/j7uNNk4SQUFOhNlpb78LGGVKtiGWUVfsxHgaU7L9GmwzEWl/IU7k0AhdrXvQELubvdOGfnbw6nHSe18MxrA4OpqU4cnMUNuPAMS3AfhnyPeH9+TLxPO1vQEFrqVbemAfJvqN48bmMFrCmgviBgbVm9eQwI6anCbawAK8AK6CsAqATuPidOnCC49BtVcKYBpAK3m2PHjkknGmwrLCyMfv/9d+rUSfxuryrEZgG4AaACYAjv50oBgEEsG5x5jIy9+u2332j06NEEUEjPDahBgwYUGBgonY2UsaSmplLv3r3pyJEj9P7778voOGUeHk+dOiUdhgBEPfjgg6az7H6+c+dOGjFihAR3Ro0aJZ1+LDlQKS5CuIEaMWF6deXKFcI+jR07lj7++GO9RbiNFWAFWIFbroD6+wADQrf8kPAATBWoVS6dgsunURwlUNr1mxcI2EXIVKWi8by4AEK2uAjhiLgKJHTpeCRdPHCOdu/cLe8MUGwsnTlr4CLUo0cPatCuB1Vt1p08ffyd6Y7XZQVYAVaAFTBIAQaEHBMyLi5O5sEfPnxY3ikGELZGDa1D3saNG+UG8AMcLLdtqX/++UfefVerVi15x5wt6xTHZX4TF5a/FxeYrdWDt1ehQR2qyEXeXRNKpyJTdRd/7u7a1LFByfvssV9EUM3adJFyr9+QpVvTCuKisPPRNboic6NTChwJS6aP1p3X9AGXD3X8lbLQGuGKs1rligPIYvGzll2HlHVL6uOyXZfp10NXdXc/0NdDQELBNOePMI3zDRzIPrMS96bbYQlvPHg+iWZsvGCTCjhvAQsBAFqoA8rVCixDHw5paFNfRWGhKwkZNHHpad2hDhR/0x4Sf9ucrX1nEmjmpjDdbgZ3rkoD2lXWnceNrIA1BdQXBKwtqzePASE9VbiNFWAFWAGtArNnz6bJkyfThx9+SM8995x2ASdb4FTTuHFjguMOau/evdS3b1/CbxD79u3TRJrl5ubS4MGDZYQY4rPglNOsWTMCkDNt2jSaP38+wUXnnnvucXJk5qsjuuvhhx82b/z/FGAbRG4hZsy0Ll26RN26dSM8wmEIcWJwDUI0GfrCI35zqVzZ8c9CgHmgH7aP/YZ2+dWgQYMkgPXWW29Jtya95Tt27Ei+vr4yVk1vPrexAqwAK3CrFVB/H2BA6FYfEd6+mQIepa9T60pJ5OWp5yKUSjm52WbL84TrKlBcACEobIuLEJYDJJSVm0WZOZnyH9oKs3Kycijs0EU6tfu4hIMOHjxoyOb9/f1lzFjnHv1EzFhXKl+jsSH9ciesACvACrACzinAgJD9+sHOGj/u4Mcw3MkGm2ovLy9atmwZ9evXz6xDuOhdv36dunfvLn9MM5upM5GSkiLvGktKSqKnnnqK5s6dq7NUyWk6Fp5CC0TkmJ4rkKJCh/rlxef76/TvuSSlyeyxpF8ITUjNppDLqQSHlIbVfMy04QnXUeByfAZN+l4LDNzdOpC6NQkgABTyn3DDUp6v3HOFNosYIdPy9XajeSOamTbxc5UCi3dE0h//meumLAK3MbyfqKtvy4o0tJsWAlUvx9M3FcjMzqXnF52k5Gs3o99vzrXvWXGMd5uw+CTFJN28oU1RxKi/WYcuJNGnGy4o3Zo9vtA/yMyBz2wmT7ACVhRQXxCwsqjuLAaEdGXhRlaAFWAF8hQAvAL3GDjxAGbBo7u78dHBcP1RuxK98847EqZ54oknJPCTN6j/P8ENxO+++y7NnDmTsH7NmjUpPj5e/i6C9pdeekm9SoFOw22nc+fOMoZNvSG4ISGibdu2bVS6dGkZy3Xu3DmCww+cidq3b69exe7pSZMmyd9rfvjhB7rvvvvyXV8BlxAZ9uOPP1L//v0167Ru3Zratm0rASzNTG5gBVgBVsAFFFB/H2BAyAUOCg/BXIEqZTOogX8akds1s6gxdhEy18nVp8p7+AhYJpvScjJcfaj5js9WQEjp6Fa5CV1LTJOA0D+b90lA6OLFi8qQnHrEh/E77riDevftR5Ubd6FKiBnjYgVYAVaAFbjlCjAgZN8hgGMQbLWrV69O3333nXT42b9/Pz322GPyxzFEc+JHHaUACOGHN9h4YzncZWetZs2aRa+//rpcngGhG0olpmVLSOjwhWRr0unO69WiIj3TnS/q64rDjS6lQFbOdRo256jTY6pc3pM+f4pB/PyE/HZbBG09ZjnGUL3+pAF1qE0dP3UzT+ejwEnh6rZyz2U6c0X8NuNEzRnelMqXNf7imBNDcnrVL367SP8Ilzd1PdG1OvUTYKCzdSIihd5fe063G47L05WFG21QQH1BwIZVzBZhQMhMDp5gBVgBViBPgdDQUHkTEiAWuNIgZmr69OkaiCdvhQJ4kpWVRT179iTcLIwYsfvvv193KwcOHJCuOSdPnpQuykOHDpWgju7CBdQInVq0aCEBHfxuYqlWrFhB+I3m/Pnz8roElg0KCrK0uF3tuKmrVatW8mYxaKbErgGe2r17t4weCwgIkJFnCuSF6DNEoMGR6csvv5QOR8pGN2/eTAMHDpSuUePGjVOa+ZEVYAVYAZdSQP19gAEhlzo8PBhFAT1IKEOAJimZ7CKkaMSPhaeArTFjpiO6FZBQSnQKhR+8QNt/2yYBIUSoGFWg+nv36UtVBCBUtXl3o7rlflgBVoAVYAWcUIABIfvEGzlypPwxDD+KNWx4M+5k69atNGDAAJlBjx96lAIghLvTsDzsu605AuGHJNh14068PXv2sIOQIuL/H1eIi8wb/r2qarU82SrIV8QF1bW8AM9hBVxMgfELT1C8cHxypoIqlaHpg2++NznTV3Ffd/7mcNpxMj7f3YSr0HdjmxMeuRxTAJFaB4TL27/nEoWjmX2wEOIhERNZ3Gr9gWha+fcVzW49cFtlerhjVU27vQ2hUWk07cezuqshhhBOZFysgL0KqC8I2Ls+A0L2KsbLswKsQElSAA4+MTExNGrUKPm7wK3Y9zNnzkjYB+/3iOGqWtX5zyQFsR/4XQURbACrnIkKc3ZscA8aMWKEjAxDdBgi0d5//32CjkpBwzVr1uTFx2/ZsoWGDRtGuOaCm8969eollwfM1K5dO1q3bp10qlbW50dWgBVgBVxJAfX3AQaEXOno8FjMFDCFhLIol5Jy0yn6WuwtiW4yGxhPFDkFfK57UWZCOl2NiaPUlFRxZ38OXRf/lXZ3Iy8fL/KpWI68y5clN/fSFvfNXhchdFSYkJCnmyelXkmh0ANnaPMvf0rCHjS8UdWpUyfqJSj5qk3uoGotehrVLffDCrACrAAr4IQCDAjZLh7iv+rWrUtt2rShP/74w2xFxIjVq1ePYLuNu9MQPYYCIIQffNLT0yUkdPr0aQoM1HcGWLVqFeHuu/fee0+6CLGDkJnEcmL36Xj6ekuE+HykjQAyXbp6BS+a9lB98i3jZtrMz1kBl1bg3TWhdEo4rjhTLWqXo1fuD3amixK17uzfw2hPSILVfW5T148m3VvH6jI803YFopMyBSyUKGMhbTnfXx5Ql1rX8bV9A0VkyUsiVvBlnVhBwFCAopyt8Nh0emV5iG43y55rqdvOjaxAfgqoLwjkt7x6PgNCakV4mhVgBVgB11NgwYIF9OKLL0qnm59//lk6GrnaKO+9914Zc4a4MHUdPXqUateuTeXLl1fPKpDpvn37SpgKsM8vv/wiHYrwu06NGjXktRVARP7+/rRjxw75mxEGER0dLSPZ1q9fL/cD0WdwbPrss88KbdwFIgZ3ygqwAsVeAfX3AQaEiv0hL9o7qEBC5TxyKCU3ky5lxtM18Yi6lp1OOSLCiosVsKRA5rVMSogUd5bGZVFmUoaID0mgtLR0Gf2BdUoLIMizrJeAg7wlIFSxeiAF1qhEnmU8KSMnU1zAunGuYVlHXISwXmFAQoCDfESkW1JUIp3ad4K2/LpZfog12kGoj3AQQsQYOwjhyHKxAqwAK3DrFWBAyPZjAMtn/GiDO8NefvllzYrPPPOMdBeCbTRgIRQAoe7du8u7AIcMGSLBn6lTp2rWRUPXrl0JefT4kei2225jByFdlYjCYtJl5Nj56Gu6S3i4l6I3H6xPdSt7687nRlbAVRVYtusy/XrIdpcsvf3o2rgCjelTS28Wt1lQ4EsR9bRfJ+pJWXxYtxrUp2VFZZIfDVQgJjlTgkJwF0IklrrqVPKm9wc3UDcXm+m3V5+lkEs3HZXw9+vLoU0MiVMDiPXi4lO6WjEgpCsLN9qggPqCgA2rmC3CgJCZHDzBCrACrIDLKoCoK9wUNWPGDBozZoxLjRM3bsF1GTdWjR8/Pm9sSmwXnJgef/xx+uqrr/LmFeST48eP50Wsvfbaa/TCCy/k3TCG7c6ZM0f+fgTXoNmzZ5sNJTMzU7ogIcK+sIAmswHwBCvACrACdiqg/j7AgJCdAvLiha+AGhKKzU2jzOs5AuDIEIBQDoNChX9IisQWE68kUuz5aAkIxUXFUWREpLxwBxcAfOhElS5dmnx8fCQVjg9zgdUrUZXaVahmw9pUNqAsZakANE83D3Iv7WH3/gMSysoVkJIAjvDP6PLx9JGAUEpCigCEjtPO33fIiLELFy4Ysik3NzeZ9durbz8JCFVq2NGQfrkTVoAVYAVYAecUYEDIdv2+//57Gj16NC1cuJAeffRRzYqvv/46ff755/Tnn3/m/UAEQKhbt260YcMGaSmNH7PgIqQ4DCmd7Nq1i+666y56++23CXfDwVqaHYQUdbSPwrBJQkJ68UAT+gVRh/qFc7egdmTcwgo4rgCcsT7beIGOhCU71Im3Z2l6fVA9AlTBZZ8CnwrdD53Xd0797KnGVKX8DVc4+3rlpe1RID41S8aQHRTH4cLVa1S/all6vEs1qurvZU83RWrZ6MRMWrwjko4LOKpGhTIiWqyKcEvyM2QfEtOy6dlvT2j6KuNRmr4d01zTzg2sgC0KqC8I2LKO6TIMCJmqwc9ZAVaAFXBdBaKiouRNS2lpaTL+3DRe/VaPev/+/dSjRw95YzNurEKFhYXJm7J27txJd955J3399dcSIiqssX700UfUpUsXee1DvU24Tbdt25YuXrwonYPc3d3Vi/A0K8AKsAJFRgH19wEGhIrMoSvZAwUk5O1+A+qAk1A25ZBf2UTycM9kUKhknxqavb+ee53iwuPo8olIio24SmdDzkqa+8qVKzILGPEh+HCHKlWqFMEGslKlSlStWjXCB+a69epS9bo1qF7rBgRHISyjlE8pT/I2AYTSxLmYdj1LmZ3vY0G4CSnuQXA4ysnKppP7T9DB7Qek9eWBAwfyHZMtCwQEBEhnhE49+lGVJl3Jr3pDW1bjZVgBVoAVYAUKWAEGhGwXGHfPTZs2jdauXUuwkVYX7KDfeOMNWr58uXQawnwFEILV9Lx582jixIkEy27c0WZaDz/8sPyBKyQkhPBjXEEAQvjsgs8w+DJnra5duyY/27jKMgCzLY35zyOxtOivyLyhPtG1GvVrXSlv2vRJVtaNz1seHpZB7ZycHGnxrQa4TPspjjoq+4fzA/oAgLdUrKPl81HRzFkdI+PSKT0rlzKycihTfDYXlqWULeCh7JxcyhbfU248F4/ieVZ2rjxnPTzcZSxRxXL653dRel0bpaPSjy2v61yh5YfrQgWocdPNBevXDixDHwy5+b2FdczRAK6Kznjk90fX+TtzLTOXRsw/Znp45PMhArq6t63530mjzmtrf6+VgTj7/qj0Y8vrms/H/M9HRU9bH9UXBGxdT1mOASFFCX5kBVgBVsD1FYCzMVyQX3nlFfk7h6uMeM2aNfTkk0/S7t27qXXr1rRixQoZiYbPGPi9ZsKECWbXYlxh3IrbNJIavLyKL/zuClrzGFgBVqBgFVB/H2BAqGD15t4NVACYxg2s40anPmWSyVMAQr5lkxgUMlDnot5VbFgMRRwOp8iz4XTixAlCVMjVq1flj+/W9g0EOFyEWrVqRY0bN6a6TYKp0W1NJCSE9QAHBbh5U5lSN0nxa9ezKV38U8oWYMhISMgUDlLGcO6/s3T876O0a8cu6SKEH/qcrWbNmkm6v37b7lS1WQ/yKGvMnZHOjovXZwVYAVagpCvAgJDtZwB+GJs1axZt2bKFOnbUOuHNnz9f5sh/++23NHjwYNmxKSCUmpoqQeJatWrR3r178zZ85swZatOmDY0cOVI6EJ06dapAACHcsZaUlERNmjQhS3etXbp0iWJjY6l+/foWISF8JgI0HRQURH5++n/PExISKDw8XH4uqlhRP5oHepw7d05C1lWrVs3Tw/QJLLfhuOTv70/QTa/iUjJp98HTVCuwLLVueiPaTW856Arwxdrdj6GhoYTPPfjcYqmKq464kHrs2DHpjBkcHGxp94l1tH4+so7GvK5vhY5xCUm0MdSbTkXehISeF45kt//fkawovj/eCh2L49+Zoqrj1OUnKSz2BiSivKm/+2gDCjaJ4CzMv9dFVUdX+9xjpI7KeWHro/qCgK3rKcsxIKQowY+sACvAChQNBfC7hd5vH7dy9IqDEKLP8Dd69erV1LRpU/ruu++oeXPXdEmE4xF+a0BSg7WbcW6lrrxtVoAVYAVsUUD9fYABIVtU42VcVoFSAhnyKZNCFfxiJCyEgSrRY+nZ6eLOzJvwhsvuBA/MMAWSopMo/NAFCjtxkQ4ePEiHDx+mxMREu/oPDAyk9u3bU8tWLalh68bU5rYWVEW0eQswyBQO0uvUFBiyBgsZAQnpwUEYU7yIUzspYsYO/31IAkK4MOdM4eIhbDY7drlTuAfdQZUa3A7rJWe65HVZAVaAFWAFDFKAASHbhZw+fTq9//77tG7dOurdu7dmxU8++YTeeust2rhxo4RisYApIIRp3NEGJ6LffvtNWl+j7fnnn5exZf/99x/Vq1dPAhgF4SCEi4BwCYDjoaVCBBou7gJ4tlQAaAARAepBhKhewWUmOjqa8JnI0h1yuMCFC+6AfxDXaqmwDHS0BCNhPQBLcP2BY6Glwnjg6gjXR0uF/crOzqYqVapYWoRYR9aRz8fi/breE5JAyenZ1LxmOaoRcNNxjd8f+f2xqP2dORWRQN9sFTHpiTnk4VaKHulUlfq3Mf8byH+vS/bnHosfdizMUF8QsLCYxWYGhCxKwzNYAVaAFWAFbFQANxHh5mzEiuH7/XPPPSd/h7H0u4ON3RbYYvh9CBH1r732Gr366qsFth3umBVgBViBwlBA/X2AAaHCUJ23UeAKwE0owAQSwgYZFCpw2V1qA9kZ2RT+XxhFHAuj/X/vk3f32wsHKTuEC2LIvG3drg116dSe2rZqRp5WIi2U9UwfTWEhtKuBIUBCWblZlJmTKf+Zrpvfc0twENbLyc6hc0fOyqixQwcOEvJ7Y2Ji8utSdz4cCkDvd+3aleo070hVmnYjb3/LF910O+FGVoAVYAVYgQJTgAEh26VduHCh/PEJd6Y98sgjmhXxY8+XX35J//77r3QSxAJqQAiwC+5uQ0TZjz/+KP++NmrUiHr27Ek//fST7LOgHIQ0A+YGVoAVYAVYAVaAFWAFWAFWwEYF1BcEbFwtbzEGhPKk4CesACvACrACTiiwcuVKGXuG+Pbu3bs70VPBrQqQCb8hTZ06VTpGI7INvw9xsQKsACtQlBVQfx9gQKgoH00eu5kCepAQFmBQyEymYjsReyGGwg9fpP/2Habt27dTZGSkU/uKeA58SO3U8Tbq0vk2qlXT8h37tmzIEjBkr5uQNTgoK9uTrmWUpbjoa3TxyL8UdvyAcFE6JC924o55ewquAnBCABxUr0lrqty4C/nXakalSpe2pxtelhVgBVgBVqAAFWBAyHZx4frz0EMPyR+iEDemLkBDWAYQkK+vr5ytBoTQOHz4cAkHHT16lPDD1jvvvEObNm2Sfy8xnwEhqMDFCrACrAArwAqwAqwAK+BKCqgvCNg7NgaE7FWMl2cFWAFWgBWwpADcPV0RuAkJCZG/8fz999/S6bhXr170ww8/WHVNtrSP3M4KsAKsgKspoP4+wICQqx0hHo9TCgAS8vLIIF/vJHJ3N89rZ1DIKWlvycpe7l7kUdpDbhvHDzCNXuXmXqeLB85T2H/naevmrXTgwAGC3bYzBWtLAEKdO3emHt06CVq8OZU2MFrLFBhKzE6lqxkJ+ToJWYKDMrLKUFq6D2VmeVF6pjdl57hRSkwYRZ3YSZfO/kcnT56UcWtRUVE2SeLt7U0NGjSQUWt1GzajwHrtKKBOa3IvYzlCxKaOeSFWgBVgBVgBQxVgQMh2ORG9FRwcLB2AduzYYbYiYrdq164t/+b//PPPefP0ACFEieGzweTJkyUghIitPXv25K3DgND/2DsL8CiuLgx/2bgbCQR3C25FCwQNWrx4BQotRUqx4lDcrTgFimtxintxDxAIJEhIiLttspv/nks3JJuEZCnwL82ZB9jdmTt37ryzEzI7734nBQU/YQJMgAkwASbABJgAE9ATAto3BHQdFgtCuhLj9kyACTABJvCpEaBS6m3btgUJTAMGDECHDh0+tV3g8TIBJsAEMiWgfT3AglCmqHjBp0pAYaCGhVk0HKxDYGykTLcbLAqlQ6K3M6xNrWFuZC7HR6W4ktRJKWNNLQzFRYrEnKveuHPhNk6ePAlvb++Udv/mSYUKFWSpsSaN66PmZ1VgZWnxb7rLdF2ShaKS4hCoDENEYkyG7TKSg+ISzEVikCVIECIxSJ38Jt0nWZUkJaGgR5cQ9PQ+nj17CrLgfXx8QKXX6Bde7YmkqHz58oHSkyg9KH+RUkIMqgi7guVgYmmn3ZxfMwEmwASYwP+ZAAtCuh2Avn37ym9/7d27F/RNMM00f/58jB07Vi5r06aNZna6EmOaBe7u7rh8+TISEhKwZs0afPnll5pFnCCUQoKfMAEmwASYABNgAkyACegLAe0bArqOiwUhXYlxeybABJgAE2ACTIAJMAEmoD8EtK8HWBDSn2PDI3nPBDIrOabZDItCGhL6+5haENIeZWphyO/JS3hff4zTf53C+fPnQSkB72NycnKCm5sbmjdrLNICqiF/3jz/qttIpREMDJJhbazKsJ9IIQlFqeIQlhSdThSyNLGEpbElqIwYpQUlqY2QoHwtBiXDIMP+ktUqxIb6I/z5XUT4P0KQ33NZeo3KjZEJHxsbC5VKBfqPgVISqKSKs7MzXPLlh71LUSEGlYe1c1EYW7wutZLhRngmE2ACTIAJ/N8IsCCkG3ovLy80btxYij1Dhw5F+fLlce7cOSxevBgtWrTApk2bRAKlUUqnGSUI0UJNuTIXFxeZ0mds/DrtkJZxghBR4IkJMAEmwASYABNgAkxAnwho3xDQdWwsCOlKjNszASbABJgAE2ACTIAJMAH9IaB9PcCCkP4cGx7JByCQlSREm2RR6AOAf09dvk0QSr0Jr1sP4XX9IQ7vPwyqEZuU9CZpKHU7XZ9Tog7dSGzatDHq1a2BUiWKZquLmERDRAgZKC5JIUQeBTRZPTSfVB4LIQgphChkbqSGg1kiLI3SCkMkCj1PCEqRhOyEGGQMJ0QmWCAu0USmBamEIJTdSRkTjhhRciwm+IV8jIsMQWxMNOLi4mSSEN3YtLS0hLmVLSwc8sLCsQCsnArC3M4FCqM3Nz2zuz1uxwSYABNgAh+HAAtCunMmgad3797w8PCQK5ME1KlTJyxYsCCNHEQLMxOEKIWvcuXK6NmzJ37++ec0g2BBKA0OfsEEmAATYAJMgAkwASagBwS0bwjoOiQWhHQlxu2ZABNgAkyACTABJsAEmID+ENC+HmBBSH+ODY/kYvB70QAAQABJREFUAxGwpHJjNkEwyaDcWOpNsiiUmoZ+PM+uIPTw6gM8vvEIB/YfwKVLlzIsn/Uue6RQKFIJQp+hXNmS6bohESgs3ghKlQLqf5J8SAyKThQJP2KeSm2QIgilXpmKgZkKMcjGJEmKQsYKNXKZJ8JWvKZJIwmFxRvDPDkvklU2iEgwQlJyxmlBcqW3/SNuZipjIxAX/gqJsZFQJynF30QxNjUUhkbirwkMTcxhZuMk/yqMTd7WGy9jAkyACTABPSDAgtC7H4Tg4GD4+fnB1dUVhoaG794Rr8kEmAATYAJMgAkwASbABPScgPYNAV2Hy4KQrsS4PRNgAkyACTABJsAEmAAT0B8C2tcDLAjpz7HhkXxAAiQJmRglwNoiEsYsCn1A0u+36+wKQl7XPfFIJAgd3H9QCkJqtfq9DIRuGL5OEGqCz0WCUJ6iZREqhJ0kIf1opmiRChQlJKFElUGKIKRZpsujkUgUsjNNhJWJSmhGrzOHIkSSUKTSGKokmwwlI136T9NWdE/lx9SqRDFbFChTiGQjIQkZGJC2xBMTYAJMgAl8KgRYEPpUjhSPkwkwASbABJgAE2ACTIAJ/P8IaN8Q0HUkLAjpSozbMwEmwASYABNgAkyACTAB/SGgfT3AgpD+HBseyQcmQNJFHoeXsDCLydaWOFEoW5g+aCMTkWpjSeW1DN9e5urZPR88vPZAlhj7+++/kZCQ8F7GRaVF3Nzc0LBJc5SqXBvmuUuKMl9GUIkUH03ZsPeyIa1ONPrRh9yG1ib5JRNgAkyACXyCBFgQ+gQPGg+ZCTABJsAEmAATYAJMgAl8ZALaNwR03TwLQroS4/ZMgAkwASbABJgAE2ACTEB/CGhfD7AgpD/HhkfyEQiUzBUMe3ORyqJOgDJZla0tsiiULUwfrJG1iTXMjc3f2n/IyyDcv3QPZ4+dwdmzZxEQEPDW9tldWLhwYdSvXx+V67nDuUw9mNo4Z3dVbscEmAATYAJM4IMTYEHogyPmDTABJsAEmAATYAJMgAkwgU+egPYNAV13iAUhXYlxeybABJgAE2ACTIAJMAEmoD8EtK8HWBDSn2PDI/kIBPJZxaOobRySFXEIUcdmWxKiobEo9BEOUAabyI4gpIxX4u6527h76TaOHz8ODw+PDHrSfVatWrVQt25dFK7SFM6lakNhbKJ7J7wGE2ACTIAJMIEPRIAFoQ8ElrtlAkyACTABJsAEmAATYAL/IQLaNwR03TUWhHQlxu2ZABNgAkyACTABJsAEmID+ENC+HmBBSH+ODY/kIxAwMVSjQq4o5DJLRLRaqbMkRENkUegjHKhUm8iOIETNH11/KP564tzps7hw4QKio6NT9aL7U3t7e1lerHL12shTriHsC5XXvRNegwkwASbABJjAByTAgtAHhKunXcfHx2Pq1Kno3bs3ihcvnukoHz58iIsXL+L58+eoWLGiFJ4dHR0zbJ+UlIS//voLd+/ehampKSpXroyGDRtm2JZmqtVqKWPT71txcXGoWbMmqlevDmPjt5eEzbRDXsAE/uMEPD09cf36dXh5ecHZ2Rm1a9dGpUqVMt1rXc+x0NBQUJnlW7duoWTJkqhTpw7y5cuXaf+6ts+0I17ABHIAgZiYGPn5wv379+VnDHSOtWzZEpaWlpnuvS7nmK796/rzIdNB8oIcR0D7hoCuAFgQ0pUYt2cCTIAJMAEmwASYABNgAvpDQPt6gAUh/Tk2PJKPQMDQIBmVnKLgZK6UW4tOViJRlBrTpeSYZpgaUYhexyfFI0mdpFnEj++RQHYFoYigcNy/6IF71z1w6tQpPHjwQN7AepehGBkZoWrVqvLD+0IV6iF36bowsbJ/l654HSbABJgAE2ACH4wAC0IfDK1ednzs2DEMHz5cSgYnTpyQYo72QJVKJSZOnIjFixfL34NI+ElISADJQbt27ZIiT+p1Hj9+jK5du4JufFJblUoFEobq1auHzZs3w8HBIXVzJCYm4quvvsKePXtgaGiI5ORkuR0SirZv3w66ecQTE2ACrwnExsZizJgxWLVqlTxXSCggGYCmbt26YcWKFVAoFK8b//OvrufY+fPn0b59e9mviYkJ6GcAncubNm2Cu7t7mr7pha7t03XAM5hADiJA50u/fv3w9OnTNP9H5s2bF2vXrpXyrTYOXc4xXfvX9eeD9tj4dc4moH1DQFcaLAjpSozbMwEmwASYABNgAkyACTAB/SGgfT3AgpD+HBseyUcgYCC2kdsiAcXtYmFlrErZIolCISrdSo6lrCyeaGQhFoVSU3k/z7MrCCWrk/Hsvo9MEbp78y7OnDkjvzWv6ygMDAzkN28///xzFC1TGbnLfg7bvCUBMZ8nJsAEmAATYAL6RIAFIX06Gh9mLCTs0I3+33//HVevXgVdzFGKUGaC0K+//ooZM2agR48emDJlihR8Tp8+jW+//RYkK1BKUO7cueVgSQSiUqr37t3DokWL5Do0b86cObKP1q1bY+vWrWl2jOSgHTt2YNy4cfKmKSUZzJw5E7/99hu++OILOdY0K/ALJpCDCVCqD50XJAlR6pednR2ePXuGgQMHynOYztehQ4emIaTLOUaJQU2aNIFGVqC0sCtXrkj5KCwsDHTup04q0rV9moHxCyaQAwlQUhCJsBMmTECNGjWkQEuy7Q8//ABKHKZkMDqvNZOu55iu/evy80EzJn5kAhoC2jcENPOz+8iCUHZJcTsmwASYABNgAkyACTABJqB/BLSvB1gQ0r9jxCP6wAQMkAxnCyXMjdRyS5QqlNcyAclGcTJN6F03H6VOQGRSLFRqFScKvSvEDNbLriBEq8ZFx+HZ7Sd4cvexKH1xT5bWePHihfw2fAZdp5tFpTGKFSuGWrVqoUjJsnAuWVOUFqsAI1P+Nnw6WDyDCTABJsAE/u8EWBD6vx+CDz6AiIgIefPfxsYGI0aMAJUtmTdvXoaCkL+/P8qWLStLilGaIknPmun48eNo27atFBVGjx4tZ9+8eVMKQpQgtHr1ak1T+di0aVNZssjPzw+0bZp8fHxQvnx5dO7cWQpLcqb4hyShZs2a4dKlS3j06BFcXFw0i/iRCeRoAlTqj+SC0qVLp+EQHh4uSwQWKVJEin+ahbqeY3379sW2bdtw7do1+QUHTT8nT54ECX59+vTBwoULNbOha/uUFfkJE8ihBPbu3Ys2bdqk+f+UUIwfPx5z586VUixJgJpJ13NMl/51/fmgGRM/MgENAe0bApr52X1kQSi7pLgdE2ACTIAJMAEmwASYABPQPwLa1wMsCOnfMeIRfWQCCiEIUckxjTBkrFAjj6USlkZvEoayMyRNuTJqm6BSSlEoUBmBWFV8dlbnNpkQyK4gZKkwgbmBEWJDo3H/9kNRYuwRHj7ykt+K9/LyAn0Qn9lEN9By5colP1h3dXVFgSIl4VikEuwLV4SJ5ZtvBGa2Ps9nAkyACTABJvD/IMCC0P+D+sfdZlxcnEzx6dixI6ytrWX5sNmzZ2coCB04cABdunTBrFmzMGDAgHQDJXmIJionRtPhw4dB/U6dOhVDhgyR8zT/DBs2DMuWLcPt27elyEDzJ0+eLNOCDh06hPr162uaykcSjAYPHpxhX2ka8gsmwAQkgdq1a8tzkZJ+NDKfLudYdHQ0SDCqXLkyjh49moYqSUn0pQcqL0hSAZUe07V9mg75BRNgAmkIHDx4UMqylCxE8i5N7/Mcy6h/XX4+pBksv2AC/xDQviGgKxgWhHQlxu2ZABNgAkyACTABJsAEmID+ENC+HmBBSH+ODY9ETwgYKZKRy0wJM5EwRGlDea0SYJ2qHJkuwwxJjEa8WgkWhXShlrZtdgQhkoMcFOYwE4IQTcEhYeIb7N647+klPhR/BkoRCggIQFBQEEJCQmRpDvognj7gcHR0hJOTE/LkyYP8+QvAqUBx2BcsD5u8pYQcZJt2MPyKCTABJsAEmIAeEWBBSI8OxkcaysSJE5GZIERJIZQOtH79ein+aA+JUhAoWYhSiCg1kW5mFihQAK1atcKGDRtSmpNcQAJQcHBwikxECxs2bCjF65cvX8r1U1YQT548eYIKFSpIQYnKofHEBJjA2wlQObCoqCh4e3unNNTlHNOkgtHPhOHDh6f0oXnyzTffyHShO3fuSFlI1/aafviRCTCB9AS2b9+Or7/+WpbnpBKeNL3Pcyyj/nX5+ZB+xDyHCUCWqVUoFCD5nH7X03ViQUhXYtyeCTABJsAEmAATYAJMgAnoDwEWhPTnWPBIPgECVJiB0oUs/hGEDP4pR6arMPS+RCEzIzMkqZPk308A33sZYlaCkLYcpNloTEwcbj4OhudjX0QHPkVkWCBChRxEpTqUSqVsRj8Q7ezs4ODgACsHF1g5F4ZNnuKwcMwHQxNzTVf8yASYABNgAkxALwmwIKSXh+WDDuptgtDu3bvRs2dPWfpk5MiR6cZRt25dUFkxT09PKQZRA0oPmjZtmkwH6tevn/wdacqUKVi1ahVWrFiBbt26pfRTpkwZKQaRcKA90c0mSmNs0KABKPmAJybABDIn8ODBA1SrVg1UmmjTpk0pDXU5xzZu3Ag6Z0nIo+Qw7Wns2LGYP38+jh07Bkor0rW9dn/8mgkwgTcE6P9a+j/3ypUroARimt7nOZZR/7r8fHgzUn7GBN4Q0L4h8GZJ9p6xIJQ9TtyKCTABJsAEmAATYAJMgAnoIwHt6wFOENLHo8Rj0lsCUhiyEMLQP+XHDIUw5GKZAKtsJgyFikShuHdIFCIxyEhhBFNDU8QkxiA+KeeULctMENKUFDM3ME5JDtK8cQLiTBAWb4zQeCMEi5JjsaEvoYwJhzIuEomxEVAlJsimRkICMrawhbG5NUytHWHhkA/GZtYQ0VE8MQEmwASYABPQewIsCOn9IXrvA3ybIESJieXKlZPJiCQCUUkyzXT27Fm0aNFCfmP84sWLMu1Hs2zUqFFYvHixLHOk+Ub53Llz0b9/f00T+UhCdfny5XHmzJk08zUvKJWRyhrRDVOemAATyJgAlf1yd3fH9evXcfLkSVStWjWloS7nGJ2j48ePx59//ommTZum9KF5Mm/ePIwbNw6bN29G27ZtoWt7TT/8yASYQFoCVM7zyy+/lP+nUtKPZnpf51hm/evy80EzJn5kAqkJaN8QSL0sO89ZEMoOJW7DBJgAE2ACTIAJMAEmwAT0k4D29QALQvp5nHhUnwgBhRBJcpknCGFILUdM5cnyWGQtDGlEoSBlBGJUmcs+qcUgQ4Wh3IaJSAIOS4h863qfCL5sDTMjQSiz1KCAWCEGJZAYZIxI5etyY5qNJKuSkJgQg6T4aKgTRYKQOHYKYzMhBFnByNQCBv/w1bTnRybABJgAE2AC+k6ABSF9P0Lvf3xvE4Roa5rUEBJ1Bg0aJJOCLl++jKVLl6JgwYKyRBiVA6PSqjTRDc3JkydLsYckA0pZPHTokCxDtmTJEnTu3Fm2o1JItI6bmxv2798v52n/Q/3b2tri7t272ov4NRNgAoIAJZn26NFDikFUErBPnz4pXHQ9xzRi34kTJ1CzZs2UfjRPKAFs6NChWLNmjZQZdG2v6YcfmQATeEOAUoMouYvKc5LgR2nEmul9nGOZ9a/rzwfNmPiRCaQmoH1DIPWy7DxnQSg7lLgNE2ACTIAJMAEmwASYABPQTwLa1wMsCOnnceJRfaIEKFEolyhJZv6PMGRiqEZukThk+U/ikPZuZSYKZSQGadbNbWglSowl4nlcUI6QhFILQpmlBr1NDNJw40cmwASYABNgAv81AiwI/deOaNb7k5UglJSUhFmzZmHmzJmg5zRZWVlh0aJF2Lt3b4r8o1AosGvXLvTq1Qvt27eXZYqMjY1l++joaLRr104mAZ06dQpVqlSBWq2WN0Ip7YTmZTTRjVIqm3T8+PGMFvM8JpCjCdy/fx9du3aFn5+fFPY6deqUhoeu5xiVBqQSgXReN27cOE1f9GL27NmgnxeURtKwYUNZSlCX9uk65BlMIAcToPOTZFo6r+h82rBhA+zt7dMQ0fWcTL1yVv3r+vMhdd/8nAloCGjfENDMz+4jC0LZJcXtmAATYAJMgAkwASbABJiA/hHQvh5gQUj/jhGP6D9EwFihhoNZohSGDEDlyJSwMXl9syb1bmpEoSh1AhKSk2QpMU1iUOp29JwEIRuFKUKTonOEJJTHzBGmosSawsAADgrzlHJi0YmGCI4zRrzKMMPEIG1u/JoJMAEmwASYwH+NAAtC/7UjmvX+ZCUIaXqIiYmBh4cHTE1NZVkwQ0ND1K9fH4GBgXjw4IFsVqdOHdy6dQs+Pj5wdnbWrCofb9y4gXr16oEkhnXr1sl5lEpEstHt27fTtKUXtD3qg2QjunHKExNgAm8I7NixAz/88INMHaHzw9XV9c3CVM90Ocd+//13DBw4EGvXrk1J+krVFUaPHg1KKaJSZqVLl5YSoC7tU/fFz5lATiYQFhaGnj17yvKaI0aMkOcW/Z+qPel6TmrWz27/uvx80PTNj0wgNQHtGwKpl2XnOQtC2aHEbZgAE2ACTIAJMAEmwASYgH4S0L4eYEFIP48Tj+o/SEBUtJLpQpbGKrl3CpE25CLKkVmbvH5NM2OSlQhRxUlJSDbK4B+NIESLpCQUL5KEkjIvU5ZBF5/UrCLmeWBnYgWFqAlmZmCEKCEGhcSZIDTBCBGinFiCSvFJ7Q8PlgkwASbABJjA+yLAgtD7Ivnp9JNdQUh7j8LDw1G8eHG0atVKCj+URkDpBw4ODlIQ0m5PpcZoecmSJXHz5k25uG7dunj48CF8fX2leJR6HZKGateujcGDB8ukktTL+DkTyMkEtm7dir59+6Jt27ZYuXIl6AZrZpMu59jhw4fRsWNHjBs3DlTaSHui8oDUhhKLrK2t5XNd2mv3x6+ZQE4kQKW9WrRoAS8vL2zevFmW2cyMg67nJPWjS/+6/HzIbIw8P2cT0L4hoCsNFoR0JcbtmQATYAJMgAkwASbABJiA/hDQvh5gQUh/jg2PJIcRUIhEoVzmibD4Rxii8mR5LBOgMIqDMlmFKLUyQ1EotSBEyP7LkpCDsTUKmOWClaEZIpVGCIk3Rpj4Gy6eK1kMymFnDO8uE2ACTIAJaBNgQUibyH//9bsKQgsWLMCYMWNkebAaNWpIUKVKlYK/v79MFaKLxNTTkydPUKFCBTRo0AAHDx6UizTb3r17N5o1a5a6uSxpRuVXTp8+jerVq6dZxi+YQE4l4O3tjcqVK8Pd3V3KBVTa722TLudYZGQkihYtirJly+Ls2bNpuo2Pj0fBggWltLdnzx65TNf2aTrkF0wghxLo378/tmzZIktnZvV/27ucY7r0r8vPhxx6uHi3syCgfUMgi+bpFrMglA4Jz2ACTIAJMAEmwASYABNgAp8MAe3rARaEPplDxwP9rxMgQcjRXAkLIzWoNJm1eTTiFdHpJCFtQYi4PIr1Q5Ay4j+DiMQgayNz2BlZSjkoINYEvtFmIjFIiEHqt3+w/p+BwDvCBJgAE2ACTCALAiwIZQHoP7hYc4PwxIkTqFmzZrb28NKlS+jQoYNMAzp16lTKOn369JE3PsePH4+RI0emzKcnlHhCaQmp00moFFn58uVl6bF9+/bB2NhYrhMcHAxKNrCzswNtiycmwAReExg2bBiWLVsmS/mVKFEiSyy6nmN0npK8sHfvXjRq1Cil//nz52Ps2LFyWZs2bVLm69o+ZUV+wgRyIIGgoCCZvNeuXbuUUptZYdDlHNO1f11/PmQ1Vl6e8who3xDQlQALQroS4/ZMgAkwASbABJgAE2ACTEB/CGhfD7AgpD/HhkfCBFIIGFH5MZEm5GQdkU4SykgQkilCcaLUmOrTLjWmLQaFirSgUFFGLFAIQpQgxBMTYAJMgAkwASbwhgALQm9Y5JRnWQlCw4cPR1hYGBo2bAhzc3Mp7Pz+++8yTYSSRChVRDPRzUlKEwoMDJSlipo0aYKEhATs2rULZ86ckckk586dA11AaiaN8NC4cWP06NEDMTExsmzS48eP5Xr16tXTNOVHJpDjCVByEKX79OvXD4aGhhnyoFQSKgemmXQ5x6jsEZ2LdN4OHTpUCnx0zi5evFiWRdq0aROMjN5cQ+naXjMmfmQCOZHA+fPnZVpelSpV3irkkoxna2srEelyjr1L/7r8fMiJx4z3+e0EtG8IvL11+qUsCKVnwnOYABNgAkyACTABJsAEmMCnQkD7eoAFoU/lyPE4cxwBY8XrkmNOVmkloYwEIYLzKUtC2mIQ7Q+lBj2LMpepQapkA5rFExNgAkyACTABJpCKAAtCqWDkkKdZCUKUBrR8+XIp7hASBwcHuLm5YeHChTLhRxuTr68vRo8eLRNIkpKS5GJTU1P07t0b1Je9vb32KjJVaNWqVYiKipLLSpYsiaVLl6JWrVrp2vIMJpCTCVStWhWenp5vRUDnGp0/qSdK7sruOUb9Ux8eHh6yCysrK3Tq1AlUVjC1HKTpX9f2mvX4kQnkNAJUTrNnz55Z7vajR4+QL1++lHbZPcfetX9dfj6kDIqfMAFBQPuGgK5QWBDSlRi3ZwJMgAkwASbABJgAE2AC+kNA+3qABSH9OTY8EiaQjkBGklBmghCtLCWheJEklPRpJAllJAZFJRoiJM4YfjFmnBqU7h3BM5gAE2ACTIAJvCHAgtAbFvzsDQG1Wg26YUmJJcWLF4eBQdaitVKpBKUAmZiYoEiRIpmmnWi2olKpcO/ePbi4uMDJyUkzmx+ZABN4TwR0Pceo1J+fnx9cXV2zPH9piLq2f0+7xd0wgRxD4EOeY7r+fMgx0HlH30pA+4bAWxtnsJAFoQyg8CwmwASYABNgAkyACTABJvCJENC+HmBB6BM5cDzMnEvgtSQUDyerSFluzE5hBhuFaaZAPgVJKCMxiHYoSIhBL6PNQKXFlGpFpvvIC5gAE2ACTIAJMAGABSF+FzABJsAEmAATYAJMgAkwASaQFQHtGwJZtddezoKQNhF+zQSYABNgAkyACTABJsAEPh0C2tcDLAh9OseOR5qDCaSWhGyNAVMDw7fS0FdJKDMxiHaGSor5RJojMsEY6rfuHS9kAkyACTABJsAEiAALQvw+YAJMgAkwASbABJgAE2ACTCArAto3BLJqr72cBSFtIvyaCTABJsAEmAATYAJMgAl8OgS0rwdYEPp0jh2PNIcT0EhChazjYWWsypKGPklCbxODwhOMZGKQf6wpopRGWe4XN2ACTIAJMAEmwAReE2BBiN8JTIAJMAEmwASYABNgAkyACWRFQPuGQFbttZezIKRNhF8zASbABJgAE2ACTIAJMIFPh4D29QALQp/OseORMgGQJORopkRR2zjYmCRlSeT/LQm9TQyiwVNq0AtRUixCpAYlqg2y3B9uwASYABNgAkyACbwhwILQGxb8jAkwASbABJgAE2ACTIAJMIGMCWjfEMi4VeZzWRDKnA0vYQJMgAkwASbABJgAE2AC+k5A+3qABSF9P2I8PiagRYA0GidzJYrbxWZLEnoU64cgZYRWL29eOprYwMrQ7M0M8SwkMQrRSXFp5unywsHEGtaG5rAzskzXt6afV0IO8o6wkKlByZqZ/MgEmAATYAJMgAlkmwALQtlGxQ2ZABNgAkyACTABJsAEmECOJaB9Q0BXECwI6UqM2zMBJsAEmAATYAJMgAkwAf0hoH09wIKQ/hwbHgkTyDYBkoRy/SMJ2WaRJJRVilBxi7zIbWKbZtthSTGIUcWnmZcdaSg7YlBIvDHCxN+AOBMuKZaGML9gAkyACTABJqAbARaEdOPFrZkAE2ACTIAJMAEmwASYQE4koH1DQFcGLAjpSozbMwEmwASYABNgAkyACTAB/SGgfT3AgpD+HBseCRPQmYAmSejfSEIZCUIZDURbGtIIQ6kTiN6WGER9UmrQs0hzRCqNoErmkmIZceZ5TIAJMAEmwASyS4AFoeyS4nZMgAkwASbABJgAE2ACTCDnEtC+IaArCRaEdCXG7ZkAE2ACTIAJMAEmwASYgP4Q0L4eYEFIf44Nj4QJvBMBShIqIcqNvasklF1BSHtwGmHIzshKlBEz1V6c5nVUohGC44zhF2PKqUFpyPALJsAEmAATYALvToAFoXdnx2syASbABJgAE2ACTIAJMIGcQkD7hoCu+82CkK7EuD0TYAJMgAkwASbABJgAE9AfAtrXAywI6c+x4ZEwgXcm8K6SEKX/FDDNBcssBJ93GVhogjEiEl4nBUUpDWVZMaVa8S5d8TpM4JMgEBcbDWV8HCLDgmBgYABbB2eYmFnAxNRMvtbsRHJyMhLiYxEW5I/o8FDYOjrDLlce0Y5Eu9fJWkmJSlB/CXGxMDW3gKmZuVhurukCtDw6Mgyvnj+GhZUtHPMUEI82abajaaxWqfD8sQfyFiopxvOmD83y1I+JCfFyu7HREYiOCIODc16YWVjCzNwKCkPD1E0RFxOF0MCXYhzhcBTtYKCAoWhjlys3VGKbCXExoP5oon00EMu1J5UqCTFR4VAlJsLYxBRmltYwMjLWbpbh66SkRMTHRIvxRsmx2tjngrlYn3gZGhqlWkfwFhzDgl+JYxMMO8fccozGJm+OS5LYfrzoJ16M2dTcMgPeiWI/Q/HqxROxDRvkypNfcqfjrD295n0PLoVKyH60l9OxjxfHlt4HCoWheFRDrVbDUDynw69WiedGRnJfjIxNtFd/59dKOrbimNH2UrYrjpNkJfZDrVbJ+cSQjsXHmOj40zFUKuPle5fGQkyTxcaTxXjofWRlY//exqMS75nY6Eg89/JA8XLV5Xs6PCRAnLex4pgWkMf+few3HVtlQhzCxXuO3lvO+QqJfTB7H12n64MFoXRIeAYTYAJMgAkwASbABJgAE2ACWgS0bwhoLc7yJQtCWSLiBkyACTABJsAEmAATYAJMQG8JaF8PsCCkt4eKB8YEdCNAkhClCOWxSIC1iSrTlUOTovE8PggxSfF41/QgTedUKoz+JqgUSFK/vqmbelm0EIOolJha/KUbvjwxgf8iARJCSBy5fGKPFFVIkKEpItgfeYuUhmv1+sjlUjBFWiGx58i2Fbh4dCfCQwKlQNSyx0A0bNMLFta2QopIwoXD2/Hg5gWUEBKDv5CASF6o37q7kHWsQGLMjbOHcXjrUgT6+kjphbbRe9gsuBQsngYxiQqeop+Zgzti6h9nUKBoKXE+pmmS8oIEmr+P7MTN80dQskINKS09f3Rbyiu1m3dBifLVhfBiIdvHRkVgzcyhCA3wRalKteHn4ylkIT+UrlIXHfuOQqDfM5za+weO7VwtBYn5f95MNzbq6NGdy1g+sT+eCWHDrd1XaN1zMAqWKJcypsyeREeE4uHty7hz6QSsbO2lRBIVFiiaGwjeDVDMtapkReuT7ES8L/y1Q/AOkLJJi24D4PbFV7C0sZO8ab/vXT2DkhVrSunK3ikPGrTtDfN/eN8STA5vXSaWPUFEaCDKVq2Lr0fMlRJQ6jES74e3LmL2T50x6ffjKFisdDrex3etweEtS2EuhC4SsPyfPcazR3dFn/VgKY4/sbO0tkOXH8ahjOD5vqbzh7dh77p5cv8dc+dH4EsfPPa4hnI1GsDazhHB/s9BQlLHfqNRqXbT97XZt/YT4OuN/X8slO8Tx9z55P6aW1pBlZQkOAfB6+4VfDduCao3aP3WfrK78OXTR9g4/xfcvngCvx28D3/xetPiCbB3csE3I+YI0S6/EKiy21vm7eJjY8R59Bd2rpyO0pVry2Np5+CU7r2QeQ/ZX8KCUPZZcUsmwASYABNgAkyACTABJpBTCWjfENCVAwtCuhLj9kyACTABJsAEmAATYAJMQH8IaF8PsCCkP8eGR8IE/jUBhUEySBQqZhv31pJjJAm9iA9GHhN75DaxzXK74SIJiNKAKAEotewTk2iIaPE3UQhCJAK9h/uqWY6FGzABfSNAEgMJJjXc2sBeJAEpkhNhSMEy6kQ887yFgIBXqNGkExxcCst0lGunD0gxpnqDFogJeoa/tq3Eq4Ag/Dx1OYpWrIMHt69iztAvMfq3vShZphz8vT2wZcUs2X/Nxu3x5OE9/C3kojJV6sDOxhp3Tu3Azs3r0LTD1+g3ei5iE0X6yj8nY5CQPnYsn4oz+zdi0Z83UKVCaQREJQuhLy1FkpY2zPsFL57cx4+/rkbxEqVgIcJrYoQIdHj7apw/+RdaCXmnghBHFIbGOLF7LVZPG4ylhx6gcMH8MFBG4dDOdXj54hm69v0ZpnYuePHiBSb2bQ4/IWG06vYDhk6aL5LExM+Jf8ZGotO+9fNxePNvUrrZftoTefIXRrwYf7Qy/Rg1I6ZkoiPbV0qWtZq0R0JsJEyNjWBiLJLKRKLR/Rvn4VK0PMrVag4jkYRz/ewhPLhxAZ+5tUZs8HMc3bEKvi/98NOvS1GiSn143rmOucO7YeSCnShZtjyCn3tiw2/TUPXzFqjTvDO8vR7I41uywmewt7fF/bO7sfWP1Wj8RU8MGL8IMal4B796IaWQ00KOmr/rGqpXLINXWryP7Vwj03rcv+gCJwc7bFk1D2sX/oopy3egRt3G8H36GGf/2oWylWuhbLXPEZmQDBEq9K8nEoRIkHJv1w0uuZ3w54ZlmDd+IGau2Yc6bi0Q4PcCpw9uF4JWWVT73B2R8Zkfg389mFQdUJrPjEHtUal6bfEeWQhzIUfR/tL75ODmpTKtqW6TNgiPE6k8mbuvqXp8+1N67/4+8yfsvOADMyMDLF84G0EvvTF0whzYOOVHhNjv98E7RiRrrZ4+GHa2tvj+5/Ews3VCaOz7/1+SBaG3H29eygSYABNgAh+fwDfffIOTJ09iypQp6NGjR5oBxMTEoFatWoiOjsaJEydQpEiRNMv5BRNgAkyACXwYAto3BHTdCgtCuhLj9kyACTCBj0uAfsf29/dPt9F8+fKhZ8+e6Nu3r0x+T9fg/zBjwYIFoL9z5sxBx44dP8gIRowYge3bt2PNmjVo1KhRhtt49uyZ5OLl5YUmTZpg5cqVsl1m8zPsRE9ndu/eHRcuXMCZM2dQqFAhPR0lD4sJMIGPSUD7eoAFoY9Jn7fFBD4CAfISSBIqbhebpSRkamCcUl4sSog+Uf+kASVSGpAQfjRTpEgCik40As0nQYgnJsAEXhOglJM9a+fA/cvvRZqPN7xvn0WpMq6IjVfi8b2bqF6rnpTngoODUK9FNygV5jI9xu2L3sjtYIUCws/buWEV5kwbj3kLlqB8/fYYN/xHPH5wC3O2nEdxRwVo3SXzZiA5LhzfDp+GC39fhlPBkihYpDiK5zKCUVIU3BvURF4XZ/yx6yi8I0Syl5AcqJTSBSGFkIizcf5obDlyBU1rlsVZHxVihYCjmSj15uSfa7Ft6WT0Hj4bbdt3Rj4bOteBcNGP92MvLJ85RpT+MsTXP0+FpXMRrJz2E07tWY81f3mgYcUCiBISy72HT/DE4yrc6tYA7Ivi8asYzBzSGS9FupCBKgGHj59FkEkROTbatq+3p0j12Y6rp/bJJKRnz3zg4OCAO/5q+EWqESfEm4wmkrGoPFsd9844f2AD8thbwcIuF0ICXyFOpAXVqOuGG5fOyNQZuwKu2LdxCRq3/xrOol1BO2DP1rWYOWkMZsyei6pNvsSEUUPw6O51zNp8DiVyKRAaGoKlC2YjNvQl+v0yG5evXId9nsIoVKwUijkZwcIgAU3qVkUuB1ts2X9K8DaW+0TluyiliEpLbRGpNBsOXECLOq44461CTCredy+fgpNIlGpUvQQcLQwwd+5cLJk9GX9s3QX3Zk3gG5aIq9dvwNnWDCXKVMCDQHWa9TNikp15lGxE5dGa1C4PZysDLFu6FBNG/IjNu/ajQ9tWeBGWhNt3PGCCBFSqWgOeQeqUY5Wd/t+1zUufh1gwsgdqVS2PxYsXQ2lkg+AYIScJSyfA308mQH1eoxw8Xqnl/HfdDr3PqXzZmQObsPrXAbju+RyWJgqMnDwX4S89xXGYB4VNPjwKVgvpNf1WaH36q1CkL5WXvjVkGcHVUwfB2c4Cs6dNRLhBLniJvt+ceRmtpfs8FoR0Z8ZrMAEmwASYwIclcPnyZbi5uaFo0aK4detWmhsRCxcuxOjRo9GlSxf8/vvvH3Yg3DsTYAJMgAmkENC+IZCyIJtPWBDKJihuxgSYABP4PxEoWbIkXr58iVy5csnPvzTDCAkJkenwrVu3xubNm7P9uZZm/Q/xSF8kmD59uhRySGR531N8fLy8FomIiECnTp2wbt26DDfRv39/bNiwQTL74osvQNcqNGU2P8NO/sVMOh4HDx7EoEGD8Nlnn/2LntKv2qJFCykH3b17V7JI34LnMAEmkNMIaF8PsCCU094BvL85hgBJQiUykIQiUpUFe52S8Fr4iUkyFEkYhiKhwUCkiyje+03MHAOedzRHETh3cAtMRNktKiO0aFQPtOzQXZSu6o1kUcJv34alsLF3RP3m7bBpxVz06P0t4i0LiEQaTxQuXhp5bUTylrBwjh/9C+sWTMDUCaPR2L01GtSvB+dCrpixaBUK2Rng/OMY7Nm4DB5n92DC1NlQWeZFnLEDCjlZwtrUAC9C4jBvTH8kxwRiz779eCoEoYeBibh14SiU8XGiBJeDKDHWAQdPXkLNymVwWggrqQUhElsWjuoly3wt3HYOzavkEykqgEeACglJkILRn6tn4fj2pViwbA3yVWouEovWYtmk79Ghex8MHTwQQWalhBSVgKjQVyib3xoWNrnwJCAGi8b3R9GS5WQZp5+Hj8RXQybhfoBa7LdaphoZGChw6fhuPLh2Bo+f+CCXowMOeCZlmuCSEB+LP+aOQs+fpuHs/g24f/EvjJy9TqTOOMDX6xbOHNmDmo3bwUidIMpTXUbbHgNw+bYnipQog7zWlHQmZKgTx7Bu/niMGzUULdp0QJPGjWDrUgwzF61BUQcDnBO8929dg+tHN0veCrtCiFHYoqCzteTtH56IuaO/Q3zIcxw8fATPo4zwICARd0TZKmJpJcp1zR3aBXuPnkPtKmUl79SCUHxstCzlVTG/GQKFCLPmt3nYufxXLFu/E21aNMGNl0KMCYsV2xIpOpEvcffRU8QphawTHoL8RUujaJnKsixaaMBLPH14B/bOLjJux1tIZeaW1qhQs5Eo66aUpc6oHFqhEuVRSqQRJSmV8kMA1/wWUvxZv3opVk4ZhBWb96N7h1a45itK5YXFwVAVA2WID168CkNYdJws91VelCGj95EyIR6+ImUqIiwIdg65ESpEreBXz5G3UElRnu0zPPW8jeeP78ntlKvRELnzF8ny5wEJQvOFIFSjcnksWrQYgUnWeBKixoNbl8X6RWErSnMVsEmG15Mn8LjnKUuPUQk4KgdnZWMv+6fydr5PHiBElLxTGBrK5CWSsGiKF4lTPiLJKzEhAWpRvu/e9XM4vGkxTt1+Id4TBlIQ8n18F32/+04mS/m8ikZRUdqvuGs12VeiMgHeD27KvoinmbkliovlFqJEHE0xUeGyFBqV34sSx8jBOR+Klq2CRGU8SBCiD9IXz5qIl1EG2LXvCEwtLJFPlB6kcoAkLP3biQWhf0uQ12cCTIAJMIEPQaB9+/Y4cuSI/Mbul19+KTdBH9SXLVtWyO/BuHHjBooXT1sa90OMg/tkAkyACTCB1wS0bwjoyoUFIV2JcXsmwASYwMcloBGESAiin/maKSgoCF27dsXFixfT/G6uWf7/ePzQgtDu3btlahLtm7m5OXx8fGBtbZ1uVylZ6NKlS/D09ESBAgVSlmc2P6XBe3oyZswYmaREkhJdP73PiQWh90mT+2IC/w0C2tcDLAj9N44r7wUTyJAASULWxmmjECgp6LUIlLZcWIYd8EwmwATeSmDjgjFo+9VQ+D68jvmj+2Lu5tOoWKYYDEXIyLXb92Esao3VrVwCf2zZBQfHXDLSlBJhTI0AB5EeQ+W+/j66G5dP7sWoYUPhWswFdWrXxGfNu+O3udMQJwSday+UIuFnPfavmyNSTuagQt1W8BIChYsQXvyjRLpMbDyWjP0GFStWwoxJvyAwOhn7Tt+Ej5BHyn/WEDFC2hnzTTOsP3ARreq8FlZSC0K+3g/E+n2ktLJt1x6ULeiIU0IiohQizfTXtuXYvGgcZs+YhsbtvsLlx2FYPOEH3Pn7COo2aIzyDTuhcr0WsBTloWyEtGQl5Ba/0FgsHNcfvYb8iqnfNYO1lQXWbtmDEOOC8Hn2HBfFfpesUANHty3DtTMH4enlDedcjtj/QOx0JhOVQLt98Tha9RiEqX0bSVHjh19mIo8QPfzD4nHP4w5KF80PlzzOGDNiKKbPnocXkYZCdBLlFy0NZLmvSyf34eKRXRj20yBULF0QDT6vi0oNO2Dp/JmyhNWV50qQ+LVrxRTMnDkT1d3ayVSZ3FYKvIpWI16ZJBJveqFc+XKYPWUcQoTks+/MbTwRgo5r9fqIjwzCuD4tsGb3WbSp55pOENLsGqX4hIiSU3+uJUFoShpBKEyU06I0JhKg8hQrJ6QjZ5G49ACXT+xBi+4/oryQb+5dPYO96+ZJCadKveaIDAvGuUNbpUBUorxIcRLuyfUzhxAXG4WuAyahQPGyctPEgY7tvk3LsEoILKkFITpmV8V7MTrEF4VKV5Gl6M6LlKdkIbL1+nmGEJEgE3jOi+1Urd8CBYqVxaPbl6WAQyX2SI4JC/aX4yhVsZYUuTT7m9mjRhAqlNcZgwcPQYTaAj6BsTgqSrF1/G40ipSuIMvseVw9i9yFy8JHyDpUMq5a/ZaiBFwnRItSXsSFxCkShOg5lfpr32ckLKxtRYrWdsQKcYuW0/Tnmlm4L4S0U7eEICSSskaIBKHrouxf586dIYoD4vjxE0KEUqL3sJkoIta5L4QiKkvXtvdP8BVpWJQAVb91D5QTx5rKiO1ZN1ccjwZCGLKVpQMfXD+Pjv1HI0+BYlIQog8ilsyehJOX7mD3n3tRvWFrKT455yskRsOCkDwo/A8TYAJMgAn85wjcvHkTdevWRalSpXDt2jUpD69YsQJDhw6VZcfoufakFgJ5dpL6EhMTYWxsrL16hq9VKlWaBKMMG/FMJsAEmEAOIKB9Q0DXXWZBSFdi3J4JMAEm8HEJZCYI0Sg0v5u3bdtWpghpjyy7v4fr8rv12/rMjiD0tvW1x6/9ukOHDvLLCgMGDMCSJUuwVKSo9+7dW7sZPv/8c1y/fh1Pnz6Fk5NTyvLM5qc0EE90GV9m3LIrCGV3W0lJSaICgLjpICYWhCQG/ocJMIFUBLSvB1gQSgWHnzIBJsAEmAAT0IXAutnD0WXABDy/vAdzp4zB6r0XUdO1AB6K8kxBUYkiIQQo72KCY6fO4rHPcwzq2wP3hSBEJYyMhERE3+o4KUp1WdrYoXvXL5EY6Iku7dvAvedQLJs+Aj6halnq6ezBzdguSoDNnjUTjVq0x21RhovSh+KFS/PozmUc2rQE/UdOR4NKheDrH4Cte48jtxAUirtWRvzL2+jfpSlW/HkR7eunF4RItlg1dSDyCGFh/84NMLGwxcnHqjQpYqf2/gGSoYYM/AE/DhyMa0GW8Hr0ELdP7cTx3euEyJQsS3o17fwdCoiUG2NDkawSG4ffJvTHwMnLcffgUiycMx2jxoxHy55DsHX3AYS88kVdUSZs3YzBuHTqAB5mQxC6c+kEoiPCUL9FRwxpWwG1m7bDxEm/SpGFSmIlJCTC0dIQ+e2NMHzIAPw4fgHy2xnjoSjtRGMKDQnFqb0bYGpugR7du0EV7IVunb+AW6cfsGr2aMmbBK6LR3eJ/f0F06dOg3u7LpJ3oioZwg2C171r2Ceknv5CTHKrXBj+AYHYLHg7uRRCifLVkOB3FwO6uWPRtjPo3DBzQYgkMkpx27c+vSD04lUIdiyfCkNxUUcCWolCeaBQRmFAd3eoFaaYsHgLvJ++kMfE1dUVA4b+gihYY9mvg3D/5iUs2yAkH1MXPLxxTvTzK3p9NwSVGrRDsBCSFOI9Kd46otRdekHo0uUrsmReTbfWaNj6S+S1NcGVM4fx07cd0W/4FLh1/gEXTx7EtsXj8O3AkXBr2RFPfXwwcXAPtGrdBs27DUSo0gQnN83GrctnsXTTIYQmWby1RJpGEMrjaItvv/0WkSpzePuF4eDmpfhh0go0qF0Vowb1kfJRpVpuiA9/hb92rBbfALJAv1Gz8Nf+nQgODJDJUaaGalw/tQeXzhzFj2NmwdTGGZtXzEHDtr1Qp3Er5LM1wqr5opzbsjm45ukrSowBIyfNFZLTBUyaNBkuhUvjjojeHTPoK9Sq3wyDJi8Vcbyn4XHlNHoPGo9Iv0dYPmsc3Jo0RaP232LTupW4cf4Yhs3fBmszI6jCn+Pc0b2o3aAZTB0KYNbYgfJbW+2a1UN4ggJm+SqCPrDJb6dAvCihR4IYlef7NxMnCP0berwuE2ACTIAJfEgClBy0f/9+bNy4Ea1atUK5cuUQEBAgy44VLlw4ZdNXrlzBhAkT5IfzVlZWaNCggSzBam//OimQGr56JYR38Q3bQ4cOITIyUpYBqFq1KiZOnIgKFSqk9DVnDgn1czFs2DCcPn1axupTn1RSYcGCBfIbxCmN+QkTYAJMIAcR0L4hoOuusyCkKzFuzwSYABP4uATeJgiFh4cjX758qFWrlvhi3HE5MJLu6Xfpffv24cWLFyhfvrwsdUUlubSnAwcOYOrUqTJph/4/qV+/vnxdrFixlKaa38Ppsz0qM3zhwgWZqk2iCv1+bmPzOombVnibIJSda4OUjWbwhBKTKKm0Ro0a2LRpk3xO+03ppqknSuwhFiTv0PVCy5YtZQnkzOZr1tVlfFu2bMHy5eJzcfFZI32BsGbNmhg7diwqV66M2bNnY9q0aVCKxHf6P5ZKwz148ECzGfmY3W0dPXoUv/zyCx4+fIg8efLI9CTaN0pt5RJjaZDyCyaQowloXw+wIJSj3w6880yACTABJvBvCGyY/wvafzsS9vGP0bNzG8xZthGt3ZvgqijXFB0TL0tBOdhY4PShnbAQKTCtmrlJWSJIpM5QGag7l08i2O+5lBtqlMotUmI80aNdIzQXos3aBZNw55VaSitn9m/C/j8WYM6c2XAT8afXfEXJKZECQyWNti6ZiOZffg9X17IoZq/CgcPH4O0fjkq1m6CwsyU8717H0K9a47dtp9G2Xhlc9jdJU2KMUnl+G9cHFuZmOHF4DxKM7HHpedrksSPbVmDTorH4dep09Pv2K9wIMJZJRUlxkUh6JZJR1i/BkWMnhFTSTSa32OTKK1JY4rBs4mtBqKRVJJq61UXp4oUxedZi7D1+CRb2LnBr3AyzR/TG2WNCEHqc/QShr/oNxpi+bWFmaoIt23fheXgynoapERsVARNTUziI+lwLJg7GVyPmoVpBU1G2SyVLpd0Toof/88eo1aQDqpfKA/9nD9G7QzNRFq4X/lg8BXcFbypv9feRndi5cppMEGrevDmui7Jf4SLVh3hTkpJ71wEoK8Scko5qHDpyAo+eB6Fy3WaS90OPmxj+7ReYv/EoOggh65KfyVsFmYwEoZu3bmP9nOGiz+b4rl9/5HGwFONKxqo5Y3Fu/3osW7sVSWZOmD35F9SrVRVjxEVgSJwC06ZMku+123c9EBoHXLrhgdnjh6Bn965o1/VbeAr5KVr5Wkj5a2t6QWjPzi04uHExeg2eiK5fNBP7DLwIjkbPBkXkTb3tB09j454TWDdnFMZNnIRWLVvA42ko+ndribbtO2P40IF4FgZs27wBh7YsxcbtewCrvDKBKbPzTCMIVShbSvCehSQja7yKTMS+rWtRv2lr1KtUFKVLFkOvodNQtmRxITip4PMyFE7Wxmharwr69O6KYtWaoXotUZpPpDJ5+UUjMS4CTWpXxNW/z2DDNhErPGgi2jWuIROkdm7ZIESqH3H/yUtQMU1KEAp87iU/rCiQPy+8g5Xo/2VzxIQF4Oqtezj7KAovhXSXFOINP+972L1zO1q17YDvfxiA3l3bI79rbfQcMBrl8xjCwz8RMTExKJ7bAhaGiSKlaiBuXrsM+hkwdNIiWBWpjgJ2hjAXX+bxjSThTPwcEJLYv5lYEPo39HhdJsAEmAAT+JAEPDw85IfgdLOhX79+oG/wfvPNN1i8eHHKZqnUAclDCaIUKLULDQ2Fr6+v/CCf4v7pg3SaVq9ejZ9//hkkFtHNDy8vL/mXPky/fPkyihYtKttpbjbQC2dnZ5QoUQL37t2T28gotUiuxP8wASbABHIAAe0bArruMgtCuhLj9kyACTCBj0vgbYIQCSTt2rUDCfxr1qyRA+vYsSMOHz4MBwcH+bv0nTt3pKzy22+/4auvvkoZPAlE3bp1k6/pS4r0ZVd/f3+4uLjg77//lr9z08LUv4dbWlqKz6ld5e/rYWFhaNiwIUgy0kyatitXrkT37t01s2UZtOxcG6SskMETSgwaOXIk5s2bJ69BSPw5c+aMvCYoVKhQyho//fSTFIjoczwSduhLCjSuzObTitm9dqG2lEo/efJkmZBK1znR0dF48uSJFHiI9fbt2+X26IsQJDQVLFhQfrmC1qUpu9ui8mgkQ5HoVL16dZiYmMh1KXWIJhaEJAb+hwkwAUFA+3qABSF+WzABJsAEmAATeEcCZw9shpmFFfp2cUe/H35APnszTJk1H1eeJuCmSFCxd3JBoZLlsWHeL2jVczDKFs8PY5Ec8yJcSA6et+F194qQg9ojbx4nFHdUwNM3HF+7V0bths2wa4NIJ/FT4WlIoigxtk6UItspEoRm47NqlaQgFBQRJ+Wgxh2+Qf4iJZDf1hCJkQGYPn0azhzcBlMzc5lSlCC+iRAWHAhHp9woUKgwpm08l0YQihPll+YO64aAZ55CZriCOONcQoh5IwjRBcWfq2di7/r5WLFmPRp9XguXvMKgti0sqBnARKFG1Mv72LBoAp499cFP4+agQKVGCIuKTRGEahY2xbCxU3Fuz2q4t2gFi7xlULXJl6hawhljf+yJY38dwKNsCEJJ4tstyyd/j6nzVuDmlQsyZWn+4qWwL1IF568/ECWmXqBo2SoI8vXBg5t/y3Jc1QuYCF6JeO51T5SmOi/loLwuzigmeD96GYE+raujWu0G2LN5tRCJ1JL3mQObcFqkJs2cPQd1PqsqBaEgYctsW/arTKPJX0SkwNiKMo2xwZgxfQZO7tsoeFtI3vTNj7CQQFHmKrf8ds6srZd0FoSuXLksBKERqFCtNqZPGImwZHs8C1fj6umDWD25H5auXIsChYti6LCRoG/PTxj7C56EGWDRnKk4e2gbLl33kIlJ20/excppP6GLKJ/1TZ/vZBpVqEitoSkjQWjnlvXYtnQSxk+Zg86dOkphKkKIaBO+aQyVkG5u3bqJHQdOYuKYERg7YZKMq736JBxDe7WQaULzJwwSaUsQccWbcGTLYqzeuAt58xeUohulJWU0aQShapXKY+GixVAa2rwunScu0K3MTeFiEo6ypUtjzPw/0O2LpqDxxyhFDXFjAziZxqJ9yyao2Lg7JgzvL9J4DEDl2YxEaT8qwbd55Vys+mMbpsxZgqYN6sjjeHj3Rqz8dQD+vvcSjuavBaGgF48xV3xwYGWfW8hMyVg0YYAoZXYDD25dwd93fIQYNw3NWn0B59wuWDhzovjGVR0MG9QPbd3dYJPfFevX/yFSmZJx0+/1TlqLMntGqljMGjcIUSLlIOzVU+RydsHc1TuQaGCCIFEG8N+KQRqWLAhpSPAjE2ACTIAJ6COBnj17Yvfu3fKDagMDA9CH4fnz508Zqru7O86ePSu/WUttKRafbkAcPHhQiPFz8P3336e09fb2loIQlSFLFv/vDho0SH7Ld8iQIfIbzNRQc7OBygqQVEQfkMfGxopUT4MU2SilQ37CBJgAE8hBBBxXjLYAACOlSURBVLRvCOi66ywI6UqM2zMBJsAEPi4BjSB09epVmIovT2omEkiozC9J+CQEUfms8+fPo1mzZvLLgCQP2draguT8pk2bylJb9+/fT+mjYsWKePz4Mf7880+5nPr9QXwGvn79etnvr7/+Kjel+T2cxnHs2DGZiBMRESG3R+uTTER90aRpqy0I6XJtIDvK4J/atWuDvqhA26QvDKxbt05+UWHcuHEYNWpUmjUyKyWW2fzsjs/Pz09++cHQ0BB79+6VyU204V27dqFs2bIoU6aMHMfbSoxld1uUnLps2TKZyDpixAjZL5WUoySkwMBAFoQkEf6HCTABIqB9PcCCEL8vmAATYAJMgAm8IwGVKglLJ3yH2TNm4FGEKa4c3oDQZ/eQaGKHklXd4Fq9Pq6e3Askq1HNrS1c81qIFBM1vJ744PqZg/i8dXfY2dmjsINCloxKMHbAmhlDEfzyCa6ePykFjbsioYXSgyLCgjBzxjS4ODng+vN4bFw+G5+37ArnfEVga2YAZ9M4XHkUBBNzayQmxKCQKGNEsgRdFM0a+iXm/L4HLWqXxeM4JymsiIpZKdP5w9ukkLJo3iw0btsNF56+EYR8vR9IwcnazhEzp/2KAo7m+KrfQHw7cZ0sgUWdJCUm4Oj2lTixdZFIYpkH13ptcfdFFBaO/Q6DpqxG3RJW2HXWE+O/doOjrRW+GTIetdy7wdHCAKMG9MTpo9kThGhbVO7J68Zp/PzLeJw8fx0eJzYiTtRss8rnis8EYxK2dq2YIkqZDYajcz5UzqvAketPcfn4HjRo0wN29g4oZK/Asxe+iFXYYf3ckUKOeoRrF0685v0sHAc3LUbQy6dCEJqNArkdcf1FgpBN5qFmk/ZwKVgcNoK3i3k8LnkGiJJsNkiMj0FBwZtkGg+Pe5gzrDumr9iJ1nXLwCve+TXvTASZvevmyfEuW78TbVo0kZLSwydPsW72MBgnJ2DVssUINi4spZLD25bjwNrZ2LL/BGyNVRgiBKHylV4LQo9CDPDb3Gk4d3grzly+CyshqWw+fhe/z/gJHTt1xnfffQcvUWotUMgpNB0WCT+rpw3Gis370b1DKyFRqXDk8AE57+chP6JHn4G4F2QkE4d+cC+FitXrYP+OP3DsxCkMHjocY8dPErJXC5Ag9HPvFvjcvSOWTBokpLZkbN2yGUc2L8aKDbtQpHAhwVWFBFGeLaNJWxAKUVnLFKd/vuiCErkMUNfVRQg67bBixXLcD1CL4y1K63lch0MuZ8wa1QdxcfG4dek0br8yQGQChBD3Cq98n+LxvZtYt2iyqDW+DHWbtZPH9+ieTVglBKHTd14ij1UyRooEIY0gZGKTG49FgtSYr5uhQPGy2LJqPr7v1xcvQuIxeMZ6hPv7gFLDatb8DCN+GiQlqqtXr+DlS188CDES4l8yIsV5Gi4Esdz5i2D11EEwE8kH3/fqiB/7f4umzUXS0pCFmbLIiE9W81gQyooQL2cCTIAJMIH/JwGKua9WrRpIOO/fv79M7NOMh24Y5M2bV35j9vbt25rZUiKiMgBUuoBKimU2UQkx+kYwlQ/bunWrbJbZzYbM+uD5TIAJMIGcQkD7hoCu+82CkK7EuD0TYAJM4OMS0AhCGW2VBHsq6UsyCU0kklBS0Nq1a9FZfKlQM3Xp0kUm/ZA0VKdOHZCgT+k3lFBz6tQpTTOZIESpN1RCmNI8adL8Hq4t+U+aNAmzZs2SyUWUYJS6bWpB6N9eG1C/JDZRig6lAdEXDmiiBKMiRYqA0oNSX3PQssxEoIzm6zI+KitG6acDBw7EDHHPILMpM0FIl221adMGJ06ckNdQqUu+UWk3Sk7iBKHM6PN8JpDzCGhfD7AglPPeA7zHTIAJMAEm8B4JhAX5Y8eikWjZ+WvkL10DpZ0NESsEBk//ONw4ewgJYb74rNXXsHFwRvX8hjhw6Qn+mD8GxVyrwtrOAXZmQHRkBHz9g9BElBZLjI/DeJHYsn/fHljmK4/T1x/h3KGtqFqvGbq2qo/4uFhMFBd1akNTIQcVFmkpCjiZq3Df2w9O+YuifqvuoASTcnkUyCUEnJs3b6BJIzf8ffGS+JZCaZlc4i/KG5EQopnUahU2zR+NJzdPYeWatfBJLiK+aa1AdEQoTuxeC89bf6NL/zHo1aaeHG+liuXwWZNO6PTNEMQkGSI04CV2r5kJA2WUSNSZhoKFiuDQpUeYPvxbjP3tT7iVc8Ipz0jsWjkdyoAHmP/bSpjb5YZPcAJGfNcF1879hcvXbomkmFI47KUZVeaPJLeYJAThsy++RyEnK+QXZZs8A1Xi2yFPcOmvLajj1gJ5y9REPjtjhAf5YvKYYSjuWk3wdhQyFRAbHYkX/oFo1P5bqJISMalvM+zZtR1WBSrizE1vnN63AVXqNEHXNm5CtooFfRsmXqVAbiFjEe/clirce+IHR5dCMlGIZJxyucVxsDSQKTvuzZrg9JlzKOdaBolCDAqISsaVF294057RN9+pzNy2pZNxePMSTJq5EF/37gkPIeWQ2EWpUcd3rMCC2VPgULKeLKG2fPIA5MqdF6MnTEGCvwd+koJQNUwcNxqPwxSYP308zh7YgnM3HsLRxgx/HLomhZ9OXb6UJbG8RcpQgBDUaJ//XDMLW3+bhAkzF2PwD31xO9AIPr4B2LF8KqzVYRjxy1gEmRTBE++nGNOrPmZuPIP2dUvg7MkjGDp8FMYIQahV6za4cM8Pv3zXHtU/b45Vs0fjlpB0/li7Bqd2r8aS37egdKmS8AhIzlCKoffdU5GkNX9kT5R3LS3lMpV1IfiEA6kTh7YsmYCze9agW68+KFmrpajJ7QlDQyNUqtMUt87/JUqejYB700Zo2m0wvP1C8eLxPVSt3xIJcdHYKM61onlsMGjkeAQa5BNj/AXnD27Gyq2HULeqK8bOWALfx3dl8oCFQ37BzhNrZo3Ej1PWwL1KXvTs2BIvXgVj0sL1iH31CLOmTRbvL3eMHjYIe479jRmjf4Rr6RLo3u9nkQAWieBXL4S41w2m5hZC9vtJphUsmT0JR05dxNB+PTB87GRUaPk9DI3NZMxw5u/y7C1hQSh7nLgVE2ACTIAJ/P8INBLlcekbyam/NUyjoQ/o6Ru+lPJjY2OTMkD6HYlKFxQW5cSoPBhNiSJFcseOHfLGREBAgCx/8OLFCzx9+hT07dqdO3fKdpobE6lvNsgF/A8TYAJMIIcT0L4hoCsOFoR0JcbtmQATYAIfl4BGECJhhIQgmihFk4T8rl27yjJamhGRFEQCjZ2dHYyMjDSzZfImpW+uWrVKpnpqkoZofUrnTD1ROg/9Hk/JRDRl9ns4yUEkCVHpr6+//jrTtrpcG8hOMvhHI9xol0mjNJ0jR47g5MmT+Oyzz1LWzEgEooUZzddlfMOHDxdfVlwqy4jRFxoymzTj3bBhg0z80bTTZVuU+nThwgVQUlSBAgU0XcjUdxaEUnDwEybABAQB7esBFoT4bcEEmAATYAJM4F8SoASdW4dW4elzX5koY2ooJJSocFSoWhMlqjeBsUj1oYSZcCF+TB8zCB5XT0NUQRJloAzEN6qTQZkuzbv+gIYiUSiXvTWuXbuOy/tXim891MCzsGTYiVJl9Rq5o2xuI2zbvAHr1qwUpYvCYG5kAJW4iSL+wKVQSfQaOh2Fi5YQ5Y4ApYgIUohtPH/yAAvH9MG03zahZc3iMh0oRpm+xBHdjPG6uA/n9v+BAiUrIcnEHi+fPoK5pTWadPgGlV2Lo7STSN4RKSljhw8StY2T4GJjCLVVPrx4+lgKRa2790fbBlXhff86Fq/4HbeuXkTl2o0w6qfv8Ty5IPyePkTk0xv4qX8vIUQFYuPuI9i7bR3Cgl6hRdOGsjb0U8MykkdWhyTE+ybOH9qCJENzWFhYQhUfKR9rNu0AW5cSMDdRoKiDgSg/MRh3Lp2E8HokbxXBEVPTTt/B7YtegrcNbty4gb/3LEdNcZFI+2dt74zPm7SSvHfv3II1K5cjMjwkDe/cQsbqPWwWChcrKcerTHrN+4X3Qywa9x0mC6Gkbe3iOO+jkik82iWllAlCIBNiFCUvRYQEoGKFcujWoyccyzZCRIJCiEnx+PuvrQh8eBG1P3fDI/8YBAf4oVOf4Shqr8YVkUy1aOlKUSe8mEiz+RGPAuKxZul8+Po8RP8BA9FFlAibumg9Tu/fIKJsa+PHgYORZFsUviFxgscJHNuxCgGiFJurkJh6iZIeeSq5IyxegUCRnHRix3IUdTKFQ9FquHL5kpBtWohyZ3VQyuwVZs1fIr6Bcgrtv2iLNu064sDx89i7dR1sRBLW/Klj4BtnhaULZiLQ1xs9evRAyy8643m8dYaCUJDfM5wSpdwuHf8Tzrkc0blDW1Rs2BGxpnnSCEIxkeHYvmwSPK8cF2KQAmVqNBLny4/IV7AobE3VWL9yEc7uXS+sogTkyl8crb8eAdeqdWFlAtwUyUK71y9CUlQQHPOXgH3eEqK032WR/tMJ7du2xp/nPXFs5xoUdbGFrXMBPHsVjppNO6Fg0VJoWtIQa3ccxvIFM5Df2Q713LvgkY8vHl0/hZ8HfQ971ybYv2cXjm5aAHViPAqWqoQ2346Cc95C8Lx2Cod3/C5vYI75+UfYFq6EUYO/Q1SIP1q06YgKTXvB2tElq7d5lstZEMoSETdgAkyACTCB/zMBTTw+lTugSH3NRNH3devWhYODg/h9xFUzO+XR0tJSxvDTDCo7RvH8VP6gQoUK8jEhIUGWL2BBKAUZP2ECTIAJZEpA+4ZApg0zWcCCUCZgeDYTYAJMQE8IaAQhEu3pZ/7bpo4dO8pyY5UrV4aVlVW6pv369UO7du1w7tw5NG/eXP4uTtJQ6ul9C0K6XBukHofmOSWWEgN/f3/5RYPUZdaCg4PlFxD69OmDhQsXalbJUASihRkJQrqMj0q6rVixQn6Jga5VMpsyE4R02RYLQpnR5flMgAloE9C+HmBBSJsQv2YCTIAJMAEm8A4ELE3EtzKs1fALihAlkJJhbm0vBB0DGAkxxV4k+SSJAJnn4a/rTJGsktdGgfy2BohJELLOa2cFxmK+UrTzDFLDWsgNBS1iEJRohShRNsneHLAQ23gZoZYJRZQSVNFFpPwI2YfWoYmEIPEHL0VCUGjsP53KJZDpNtULGOK0twqxYp2MJjFcuDoroIoLw/3nYTC1zQ1jUwtYirHksxH7IIZPZapCwiJgaW2LpsUNcO2hP4LjDGBl5wR7S0NZ2iw4Jhk+YWo5HiojVj6PIS48U0kuJkKeKiVEIyo5RX3RSMyE6PR5EUOYii+tnBHjiyImmZTk0oybBKu8gp9KiDb+IVEwtbSFkYmp3KaFMfEykKk7VI6K2rqI8RcQklZGvB8K3rSPhSyiBW9rRCkhk5KsiLdgSUIV8a4geBO7BC3efiIhKETsc+qJ9rtmwde8af3MJmJO7x1KILITY/YMFO+hSHXKMc1jFgfDGD+EK5yRZGwNc2MDFLE3kKXC/MV2ab/KimP2OCRZlLhSSxGqSj5DuT/nn6qRKEQxktNoHS/Rht4/5EjRdol7eZE0RclHD8R2fcUyei+ZGiYjl0Hw/9q7uxjLpgUP4Kurq6u7hx5N99WMMbnmio8ZYhIEEeFBxgsJ4oGRMYkX80CQ3IQXQ4hogjeCBx8JEuJBQjISLzzxMAQxRHAJ49sdem7T1R/VPeu/2e046nTX1zmnTtVvJdV1PvbH2r+1q+us2v+9VhNS2jpRwzorVpVD6vFk2ro3Pp+qobRSjtlY1ztwRfnvOuVXzrVMc3fW71eWWH74v7vLREU/5ncrmlDV23WZtGmCbNOVVfWcOPKgGvypx5Fj+qCeF3+pZp3Lj4/tLodP/FA21tGydqxaX7buHKv7KE3o7s91/xtXT5ZN49+Xib8+rHz741jjkGP/urbLmpW7y+8P3FbGVx9Q/vTtjrJifHU5esNYnYat1OOpP091X3/7V9uan9evt6+poz6tqNPI1Z+/WqeMtLVqbKr8U237sTpq0fvf7ioH1DY45ncrmzBZAmUHTUyVI9f8paxZd0j5sk7hlp/DbPOb7Lsan3pkDV7V19O2h60ba0b3+lM1+qSuO1n/r/g5szYdzX5fG2RAKCHCbdu27bdOFiBAgAABAp0CvQJC33//fTniiCPKcccdV1577bXOVX71OHclH3vssc1UZLmLed26dc37uVM2fxAXEPoVlycECBCYVqC9IJCRIeZSEhDSH5iLnHUIECAwGIHZBITaEW66R67prukHH3xQTjrppGbUzxdffHHv2wncZMqu448/vt7k+l/N671GELr11lvLnXfeWR5++OGSKcxSplt2pn2DZgPT/JNpttrRk1aurH8w7CoZkTQjJmXatDY8NF0QKKtN9/ps6pcRjDKNW6YZy/H3Kr0CQrPZV0Yoeumll34zldh5551X0ncyxVgvfa8TWH4C3f0BAaHldw44YgIECBDok0ACLoceONYEfdoQRsICCTBsmfwl8JDljjo4AYX6ZldJcCCBiwQ41tfQRYImP9YQQUqCQglapBy5fkWzr+4tZHqqTxP0qAGczpKAS0bUebcGOLrf61wujw9bt6IcUsMqCddkb6lvQi5f1ZDDzp/DMVnuH2qoJc8T5Mjxrq3BnKyTgMtk3X8CL4fXbSXY9E1d96utP+37oPp6SkZUyrZzjAlOxCrhoiyX7eyvZPkEUxJeyf5Tj7yWYEiCGm1dEyQ56pCxJuTTvc2PfvbO66lvp/fWGhT6v9puKQlzbaptm3bpLDmGeCfw1FnStkdv+Cl40/1e53IJiyWgs6mGbVbWyqd9v6whmbadE246ogZVEmBK2+Z5jjXHl/DZYXW9jXX9LZM/uSdA9Hf13IjDp1v2lK11e4fXMFoCU7H9ok4xFpdsZ0NdL+0znv2mfet+c7w54oSWco5N1nZoA1IJueRx2vOI6pEgVuoag4SFDj2gBrDqufppDb6kblkm9cgyOadT7+7SBKRqnXPOxX+ypuVyrnxbl++cZizrZb85trR5vTGoOR9zriVMlu0kLBPLPE6d/qcefxvOOrTW729qmCqhvZhk6rece9lXfjaz70zJl4BURt+KyWd1243Vz20Uq5zX+TnIebKmrv9xHeErbZVjPbyew3XXzc97W6+0TY4t20kgKHU9ZmOtY10u28lxtudpjnG2ZVABobVr11bX+n/RHC8ozPa4LE+AAAECS0egV0AoR9hOP/bAAw+Uf60jGqb88MMP5dlnn23uVM7vnrfffruZCqAzCJTlchfzddddJyAUDIUAAQL7EZhvwEd/YD/A3iZAgMCQBWYTEMpUWxdccEE58cQTywsvvNAEZ1L9BE0yJVm2lZJgaEb6/OSTT5rlMvpnyg033NBMGXbNNdeUzZs3N6+1oZ+MOPToo482of78Denss88u77zzTukcTTTr3HbbbaV7KrCZ9A2anU3zz5VXXlmeeuqp0iv0lOnNnn766fLEE0+UCy+8sNnCdEGgvNHr9ZnW76OPPmqmdMvF+ExtlpBVStyPOuqo5ivPb7rppnLvvfeWRx55pGTat84y031de+21zfRv8b/++uubTXz44Yfl9NNPb/6GJyDUqeoxgeUt0N0fEBBa3ueDoydAgACBPggkoJCARAIR3SGH2e4u26qbakZtme2681k+AYbxGqxJwCMBhunCHTnGBB6yTJZNaCPPh1EStEk9sv8EheZaGu+6nfm221z332u9HN/qmurZXgM0GcFnUCUhmpR9hZx+WmIw/+7vZ6s9D6YL3WTdBKNyjuTxdOdJ+3M73fneuU5dvQlSdR513s85OMhzZ1ABodxdlTuwJicn68/5kH7IO7E9JkCAAIGREdhXQCjTFuTiRO7oPeWUU8rGjRubiweZGiF32+au27yXu5O//PLLcvHFF9fpVf++vP/+++W5556rU95OCQiNzJmgogQIDEsgYcsEfPJ/ZqZnnEvRH5iLmnUIECAwOIHZBIRSq3wGT2Blw4YNzefwfP7OaECZOuyNN95opvTNcgndJHwzMTFRTj311JLRg957771mvVdeeaUZETTLJaByxx135GE5+OCDy8knn1zefffd8tlnn5Xzzz+/2U7zZv2n3WY+++dzfkJKKTPpGzQLdv2zdevWJnST33cff/xxyUXw7vL88883IxhlxJ0EhVJ6BYF6vT6b+rWjA+X352mnnVZSx9dff73xyhRimU45waCrr766bNq0qQlrZUrltsx0X2mrNrh1zjnnNL/vX3755eami2xLQKgV9Z3A8haYrj8gILS8zwlHT4AAAQIECBAgMKICgwoIrVq1quRrx44dZdeuruGyRtROtQkQIEBgMAL7CgilBq+++mq58cYby1tvvdVcuM5FiSuuuKJ5LRe0UzIFWe5QfvPNN5vnRx99dDn33HNLRh7qHFmovTDx0EMPlcsvv7xZ1j8ECBBY7gLj4+PNhd0ELvM1l6I/MBc16xAgQGBwArMNCOXvOwmxZOTOzz//vIyNjZUzzzyz3HzzzeWMM874VcWffPLJcvvttzfhm/xOyft33313OeGEE/Yu134Oz+f4BGEyCmhCMAn433PPPc3jduHcfJbP6pm2LDejfffdd+1bM+ob7F345wePP/54ueqqq8oll1xSHnvsse63m+cJyGZatOw7U6clnNQrCNTr9WxoJn2XtgL3339/efDBB0tG9IlbQlO33HJLOeuss5pFMnLqpZdeWhLoOfDAA5t2aNfN95nu65lnnmn6Tl988UXJqEUXXXRREwxKGwgIdYp6TGD5CkzXHxAQWr7ngyMnQIAAAQIECBAYYYFBBYTyh6L8kWE+dx2PMLOqEyBAgMAABHLROn8kX79+fc+9ZZqCXMzY1zI9V/YGAQIElqlARn3IRYFcHM3n+bkU/YG5qFmHAAECoyGwZcuWZuSZ/L7YV8ln9SyT0Gh3aQNCbVA/I+Yk7J8A0FzKTPoGc9nuQq0zm/rFLX9T67dFglYJGk3XPgt13LZDgMBoCkzXHxAQGs22VGsCBAgQIECAwEgLfP/nr8q9f/yXkT6GuVb+D/94cvm3P94119X3rjeogFB2mD/sZDjSbdu2NfPQ762EBwQIECBAgAABAgQILFqB9nN8QpbzKe129Afmo2hdAgQILE2B7oDQ0jxKR0WAAIHRFGg/x3f2BwSERrMt1ZoAAQIECBAgMNIC33zxSfn3f/7DSB/DXCt/0hnnlv946D/nuvre9QYZEGrvNDDN2F5+DwgQIECAAAECBAgsaoGMVrB69epmmuB8jp9P0R+Yj551CRAgsLQFBISWdvs6OgIERlegV39AQGh021TNCRAgQIAAAQIjK7Bnz+4y+eMP5fB1K8qpR85tyOFRPfixleNl9Zq15YNvd5d3vt4958MYZEConVZg9+7abnXOdoUAAQIECBAgQIAAgcUtkClN8jk+n9/zOX4+RX9gPnrWJUCAwNIW2Lx5c7nrrrvKfffdVy677LKlfbCOjgABAiMk0Ks/ICA0Qo2oqgQIECBAgACBpSawHANCbRuOUkAodc7dx7nrYPv27WVqaqo9DN8JECBAgAABAgQIEFhkAu3dwgsZ8NcfWGSNrDoECBAgQIAAAQIEegjsqz8gINQDzcsECBAgQIAAAQIEFrPAIEcQioO7hhfz2aBuBAgQIECAAAECBH4RaO8WXshwv/7AL74eESBAgAABAgQIEFjMAvvqDwgILeaWUzcCBAgQIECAAAECPQQGHRBKNdq7hnfs2FF27drVo2ZeJkCAAAECBAgQIEBgWALj4+NlYmKiGfUzAaGFLPoDC6lpWwQIECBAgAABAgQWXmB//QEBoYU3t0UCBAgQIECAAAECfRcYRkBoxYoVZe3atc2xbdu2rezZs6fvx2kHBAgQIECAAAECBAjMTCCf13O3cL5PTk6WTDG2kEV/YCE1bYsAAQIECBAgQIDAwgrMpD8gILSw5rZGgAABAgQIECBAYCACwwgI5cBWrVrVfOViQy46KAQIECBAgAABAgQILA6BdoSfnTt3lnz1o+gP9EPVNgkQIECAAAECBAjMX2Am/YF5BYTmX0VbIECAAAECBAgQIECgnwI//vjjgm9+Jh2NBd+pDRIgQIAAAQIECBAg0FNgkMEd/YGezeANAgQIECBAgAABAkMRmGl/QEBoKM1jpwQIECBAgAABAgQGI9CPgFDnUKXbt28vU1NTgzkYeyFAgAABAgQIECBA4DcCK1euLAntZArgjPLZ76mA9Qd+0wReIECAAAECBAgQIDA0gdn0BwSEhtZMdkyAAAECBAgQIECg/wL9CAil1mNjY2XNmjXNAeQiRKYcUwgQIECAAAECBAgQGKxAPpcnHJTQziDD+/oDg21neyNAgAABAgQIECAwncBs+wMCQtMpeo0AAQIECBAgQIDAEhHoV0AoPOPj42ViYqK5QzkXI4SElshJ4zAIECBAgAABAgRGQqDzYsCOHTvKrl27Blpv/YGBctsZAQIECBAgQIAAgV8JzKU/ICD0K0JPCBAgQIAAAQIECCwtgX4GhCLVzm2cx4O8Yzn7UwgQIECAAAECBAgsV4FMI5CwfkYO2rlzZ/M1DAv9gWGo2ycBAgQIECBAgMByF5hrf0BAaLmfOY6fAAECBAgQIEBgSQv0OyAUvPbO4TzOXcu5QLFnz548VQgQIECAAAECBAgQWECBBIISysln8JRhjBzUfTj6A90inhMgQIAAAQIECBDoj8B8+wMCQv1pF1slQIAAAQIECBAgsCgEBhEQyoF2DmeacFBCQoOe4mBRgKsEAQIECBAgQIAAgT4JJIiTcFAuCuQz92Ka5ld/oE+NbrMECBAgQIAAAQIEfhZYiP6AgJDTiQABAgQIECBAgMASFhhUQCiEuVDRdlLyfPfu3U1QaGpqKk8VAgQIECBAgAABAgTmIJDpAxIMSggnZbGO2qk/MIfGtQoBAgQIECBAgACB/QgsZH9AQGg/2N4mQIAAAQIECBAgMMoCgwwItU65cJELGOm4pCQolJBQLmSYeqxV8p0AAQIECBAgQIBAb4E2bJPP1G0wKJ+pM1JnPl8v5qI/sJhbR90IECBAgAABAgRGQaBf/QEBoVFofXUkQIAAAQIECBAgMEeBYQSE2qp2XxjI67mY0fmVwJDQUCvmOwECBAgQIECAwHIUyB//2682ENSGguIxKsGg7rbTH+gW8ZwAAQIECBAgQIDAbwXavkC+97s/0DMglDt+FQIECBAgQIAAAQIERlsgdxgPu7Qdm0w/1nmho7NeQkKdGh4TIECAAAECBAgsF4F8Vp6uLKVROPUHpmthrxEgQIAAAQIECBAozY0C0zn0qz/QMyA0XSW8RoAAAQIECBAgQIAAgfkI5OJAQkL5yuPur/ls27oECBAgQIAAAQIERkmgHU2z83s72uZSDdDrD4zSGaquBAgQIECAAAEC/RTo7Ae0j/vdHxAQ6meL2jYBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBIQsICA25AeyeAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQD8FBIT6qWvbBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBIYsICA05AawewIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQL9FBAQ6qeubRMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYsoCA0JAbwO4JECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9FNAQKifurZNgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYMgCAkJDbgC7J0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINBPAQGhfuraNgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIEhCwgIDbkB7J4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAPwUEhPqpa9sECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEhiwgIDTkBrB7AgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAv0U+H8kHObWhZBM0wAAAABJRU5ErkJggg==", - "text/plain": [ - "" - ] - }, - "execution_count": 22, - "metadata": { - "image/png": { - "width": 1200 - } - }, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "Image(filename='images/Disaster_Dashboard.png',width=1200)" ] @@ -5721,17 +720,9 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Restricted license - for non-production use only - expires 2025-11-24\n" - ] - } - ], + "outputs": [], "source": [ "#prep distance matrix\n", "df_distance, relevant_warehouses, BucketsNeeded = get_distance_matrix(dataset)\n", @@ -5759,50 +750,9 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Gurobi Optimizer version 11.0.3 build v11.0.3rc0 (mac64[rosetta2] - Darwin 23.6.0 23G80)\n", - "\n", - "CPU model: Apple M1\n", - "Thread count: 8 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 17 rows, 16 columns and 32 nonzeros\n", - "Model fingerprint: 0x0ab092cf\n", - "Variable types: 0 continuous, 16 integer (0 binary)\n", - "Coefficient statistics:\n", - " Matrix range [1e+00, 1e+00]\n", - " Objective range [6e+00, 3e+01]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [3e+00, 1e+04]\n", - "Found heuristic solution: objective 186156.00000\n", - "Presolve removed 16 rows and 2 columns\n", - "Presolve time: 0.00s\n", - "Presolved: 1 rows, 14 columns, 14 nonzeros\n", - "Variable types: 0 continuous, 14 integer (0 binary)\n", - "Found heuristic solution: objective 186086.75000\n", - "\n", - "Root relaxation: objective 9.829300e+04, 1 iterations, 0.00 seconds (0.00 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 98293.000000 98293.0000 0.00% - 0s\n", - "\n", - "Explored 1 nodes (1 simplex iterations) in 0.03 seconds (0.00 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 3: 98293 186087 186156 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 9.829300000000e+04, best bound 9.829300000000e+04, gap 0.0000%\n" - ] - } - ], + "outputs": [], "source": [ "# Fire up the solver!\n", "model.optimize()" @@ -5817,178 +767,9 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Varamountpossibledistance
1Warehouse_Allocation[1]26.0260.00
4Warehouse_Allocation[4]9046.090466.00
11Warehouse_Allocation[11]3.037.00
14Warehouse_Allocation[14]1580.015808.00
5Warehouse_Allocation[5]610.061010.00
2Warehouse_Allocation[2]-0.04111.00
7Warehouse_Allocation[7]2296.0668911.00
0Warehouse_Allocation[0]-0.037514.00
9Warehouse_Allocation[9]-0.0246014.25
8Warehouse_Allocation[8]0.015016.00
12Warehouse_Allocation[12]-0.073616.00
10Warehouse_Allocation[10]-0.0423517.00
6Warehouse_Allocation[6]-0.0520119.00
15Warehouse_Allocation[15]-0.0163722.00
13Warehouse_Allocation[13]-0.0570023.00
3Warehouse_Allocation[3]-0.0232226.00
\n", - "
" - ], - "text/plain": [ - " Var amount possible distance\n", - "1 Warehouse_Allocation[1] 26.0 26 0.00\n", - "4 Warehouse_Allocation[4] 9046.0 9046 6.00\n", - "11 Warehouse_Allocation[11] 3.0 3 7.00\n", - "14 Warehouse_Allocation[14] 1580.0 1580 8.00\n", - "5 Warehouse_Allocation[5] 610.0 610 10.00\n", - "2 Warehouse_Allocation[2] -0.0 41 11.00\n", - "7 Warehouse_Allocation[7] 2296.0 6689 11.00\n", - "0 Warehouse_Allocation[0] -0.0 375 14.00\n", - "9 Warehouse_Allocation[9] -0.0 2460 14.25\n", - "8 Warehouse_Allocation[8] 0.0 150 16.00\n", - "12 Warehouse_Allocation[12] -0.0 736 16.00\n", - "10 Warehouse_Allocation[10] -0.0 4235 17.00\n", - "6 Warehouse_Allocation[6] -0.0 5201 19.00\n", - "15 Warehouse_Allocation[15] -0.0 1637 22.00\n", - "13 Warehouse_Allocation[13] -0.0 5700 23.00\n", - "3 Warehouse_Allocation[3] -0.0 2322 26.00" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "#Show Solution\n", "b=[]\n", @@ -6158,59 +939,9 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[1m 1) What is the Objective Function? \u001b[0m\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "5fdae22271cf48789dc0fd35180320c8", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "RadioButtons(options=(('-1', 1), ('0', 2), ('1', 3)), value=1)" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "fa0898d5db0a4eb181b6acb3c3a78825", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Button(description='Check', style=ButtonStyle())" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "334b1d4f419344a28bb421d64457b720", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "q_3_1()" ] @@ -6231,59 +962,9 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[1m 1) What is the Objective Function? \u001b[0m\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "4fad507aa29242c189e56dfa436d6599", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "RadioButtons(options=(('0', 1), ('1/2', 2), ('1', 3)), value=1)" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "3e40781cb87e476f8264dce0878a42eb", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Button(description='Check', style=ButtonStyle())" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "6f10f550a65b4565b18ea8c58f07d3c7", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "q_3_2()" ] @@ -6529,33 +1210,9 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Gurobi Optimizer version 11.0.3 build v11.0.3rc0 (mac64[rosetta2] - Darwin 23.6.0 23G80)\n", - "\n", - "CPU model: Apple M1\n", - "Thread count: 8 physical cores, 8 logical processors, using up to 8 threads\n", - "\n" - ] - }, - { - "ename": "GurobiError", - "evalue": "Model too large for size-limited license; visit https://gurobi.com/unrestricted for more information", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mGurobiError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[28], line 31\u001b[0m\n\u001b[1;32m 29\u001b[0m \u001b[38;5;66;03m# Optimize model\u001b[39;00m\n\u001b[1;32m 30\u001b[0m model\u001b[38;5;241m.\u001b[39msetObjective(objective, GRB\u001b[38;5;241m.\u001b[39mMINIMIZE)\n\u001b[0;32m---> 31\u001b[0m \u001b[43mmodel\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptimize\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 33\u001b[0m \u001b[38;5;66;03m# Store results in the list 'a'\u001b[39;00m\n\u001b[1;32m 34\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m v \u001b[38;5;129;01min\u001b[39;00m model\u001b[38;5;241m.\u001b[39mgetVars():\n", - "File \u001b[0;32msrc/gurobipy/model.pxi:893\u001b[0m, in \u001b[0;36mgurobipy.Model.optimize\u001b[0;34m()\u001b[0m\n", - "\u001b[0;31mGurobiError\u001b[0m: Model too large for size-limited license; visit https://gurobi.com/unrestricted for more information" - ] - } - ], + "outputs": [], "source": [ "demand, probs = get_probs(dataset)\n", "\n", @@ -6596,138 +1253,9 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
01
0Warehouse_Allocation[0]375.0
1Warehouse_Allocation[1]26.0
2Warehouse_Allocation[2]41.0
3Warehouse_Allocation[3]2322.0
4Warehouse_Allocation[4]9046.0
5Warehouse_Allocation[5]610.0
6Warehouse_Allocation[6]-0.0
7Warehouse_Allocation[7]-0.0
8Warehouse_Allocation[8]-0.0
9Warehouse_Allocation[9]-0.0
10Warehouse_Allocation[10]-0.0
11Warehouse_Allocation[11]-0.0
12Warehouse_Allocation[12]-0.0
13Warehouse_Allocation[13]-0.0
14Warehouse_Allocation[14]-0.0
\n", - "
" - ], - "text/plain": [ - " 0 1\n", - "0 Warehouse_Allocation[0] 375.0\n", - "1 Warehouse_Allocation[1] 26.0\n", - "2 Warehouse_Allocation[2] 41.0\n", - "3 Warehouse_Allocation[3] 2322.0\n", - "4 Warehouse_Allocation[4] 9046.0\n", - "5 Warehouse_Allocation[5] 610.0\n", - "6 Warehouse_Allocation[6] -0.0\n", - "7 Warehouse_Allocation[7] -0.0\n", - "8 Warehouse_Allocation[8] -0.0\n", - "9 Warehouse_Allocation[9] -0.0\n", - "10 Warehouse_Allocation[10] -0.0\n", - "11 Warehouse_Allocation[11] -0.0\n", - "12 Warehouse_Allocation[12] -0.0\n", - "13 Warehouse_Allocation[13] -0.0\n", - "14 Warehouse_Allocation[14] -0.0" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "pd.DataFrame(a).iloc[:15]" ] @@ -6736,18 +1264,7 @@ "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "40811" - ] - }, - "execution_count": 69, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [] }, { @@ -6866,49 +1383,9 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Gurobi Optimizer version 11.0.3 build v11.0.3rc0 (mac64[rosetta2] - Darwin 23.6.0 23G80)\n", - "\n", - "CPU model: Apple M1\n", - "Thread count: 8 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 1153 rows, 1040 columns and 2192 nonzeros\n", - "Model fingerprint: 0x0e8cfb4c\n", - "Variable types: 0 continuous, 1040 integer (0 binary)\n", - "Coefficient statistics:\n", - " Matrix range [1e+00, 1e+00]\n", - " Objective range [9e-02, 4e-01]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [3e+00, 4e+04]\n", - "Presolve removed 1152 rows and 1026 columns\n", - "Presolve time: 0.02s\n", - "Presolved: 1 rows, 14 columns, 14 nonzeros\n", - "Variable types: 0 continuous, 14 integer (0 binary)\n", - "Found heuristic solution: objective 330422.47266\n", - "\n", - "Root relaxation: objective 3.274030e+05, 1 iterations, 0.00 seconds (0.00 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 327403.00000 327403.000 0.00% - 0s\n", - "\n", - "Explored 1 nodes (1 simplex iterations) in 0.04 seconds (0.00 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 2: 327403 330422 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.274030000000e+05, best bound 3.274030000000e+05, gap 0.0000%\n" - ] - } - ], + "outputs": [], "source": [ "model = gp.Model(\"full_allocation\")\n", "\n", @@ -7025,7 +1502,7 @@ }, { "cell_type": "code", - "execution_count": 168, + "execution_count": null, "metadata": {}, "outputs": [], "source": [