<ROOT>
 <APPS_INITIALIZE_DATA>
  <USER_NAME>ENGINATICS</USER_NAME>
  <RESPONSIBILITY_KEY>SYSTEM_ADMINISTRATOR</RESPONSIBILITY_KEY>
  <APPLICATION_SHORT_NAME>SYSADMIN</APPLICATION_SHORT_NAME>
 </APPS_INITIALIZE_DATA>
<LOVS>
<!-- loader xml for Enginatics Blitz Report lov: INV Cycle Count Name -->
 <LOVS_ROW>
  <GUID>CE2B47CC27D19E6DE05362FB0905DA52</GUID>
  <LOV_NAME>INV Cycle Count Name</LOV_NAME>
  <VALIDATE_FROM_LIST>Y</VALIDATE_FROM_LIST>
  <LOV_QUERY>select
mcch.cycle_count_header_name value,
mcch.description||&apos; (&apos;||mp.organization_code||&apos;)&apos; description
from
mtl_cycle_count_headers mcch,
mtl_parameters mp
where
mcch.organization_id=mp.organization_id and
(:$flex$.organization_code is null or xxen_util.contains(:$flex$.organization_code,mp.organization_code)=&apos;Y&apos;) and
nvl(mcch.disable_date,sysdate+1)&gt;sysdate
order by
value,description</LOV_QUERY>
  <LOV_TRANSLATIONS>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>US</LANGUAGE>
   </LOV_TRANSLATIONS_ROW>
  </LOV_TRANSLATIONS>
 </LOVS_ROW>
<!-- loader xml for Enginatics Blitz Report lov: INV Organization Code -->
 <LOVS_ROW>
  <GUID>8E2FF36EDEB279D2E0530100007F1FF2</GUID>
  <LOV_NAME>INV Organization Code</LOV_NAME>
  <VALIDATE_FROM_LIST>Y</VALIDATE_FROM_LIST>
  <LOV_QUERY>select
ood.organization_code value,
ood.organization_name||&apos; (&apos;||ftv.territory_short_name||&apos;, &apos;||hla.town_or_city||decode(mp.organization_id,mp.master_organization_id,null,&apos;, &apos;||mp0.organization_code)||&apos;)&apos; description
from
org_organization_definitions ood,
mtl_parameters mp,
mtl_parameters mp0,
hr_all_organization_units haou,
hr_locations_all hla,
fnd_territories_vl ftv
where
ood.organization_id=mp.organization_id and
mp.organization_id&lt;&gt;mp.master_organization_id and
(
ood.organization_id in (select oav.organization_id from org_access_view oav where oav.resp_application_id=fnd_global.resp_appl_id and oav.responsibility_id=fnd_global.resp_id) or
not exists (select null from org_access_view oav where oav.resp_application_id=fnd_global.resp_appl_id and oav.responsibility_id=fnd_global.resp_id) and
ood.operating_unit in (select mgoat.organization_id from mo_glob_org_access_tmp mgoat union select fnd_global.org_id from dual where fnd_release.major_version=11)
) and
(:$flex$.operating_unit is null or ood.operating_unit in (select haouv.organization_id from hr_all_organization_units_vl haouv where xxen_util.contains(:$flex$.operating_unit,haouv.name)=&apos;Y&apos;)) and
(:$flex$.ledger is null or ood.set_of_books_id in (select gl.ledger_id from gl_ledgers gl where xxen_util.contains(:$flex$.ledger,gl.name)=&apos;Y&apos;)) and
nvl(ood.disable_date,sysdate)&gt;=sysdate and
mp.master_organization_id=mp0.organization_id and
ood.organization_id=haou.organization_id(+) and
haou.location_id=hla.location_id(+) and
hla.country=ftv.territory_code(+)
order by
ood.organization_code</LOV_QUERY>
  <LOV_TRANSLATIONS>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>AR</LANGUAGE>
    <DESCRIPTION>جميع أكواد تنظيم المخزون النشط باستثناء المؤسسات الرئيسية ، مقيدة بعرض الوصول إلى مؤسسة المستخدم الحالي</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>D</LANGUAGE>
    <DESCRIPTION>Alle aktiven Inventar-Organisationscodes mit Ausnahme von Master-Organisationen, beschränkt auf die Org-Zugriffsansicht des aktuellen Benutzers</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>E</LANGUAGE>
    <DESCRIPTION>Todos los códigos de organización de inventario activos, excluyendo las organizaciones maestras, restringidos a la vista de acceso a la organización del usuario actual</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>F</LANGUAGE>
    <DESCRIPTION>Tous les codes d&apos;organisation de l&apos;inventaire actif, à l&apos;exclusion des organisations maîtresses, limités à la vue d&apos;accès à l&apos;organisation de l&apos;utilisateur actuel</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>I</LANGUAGE>
    <DESCRIPTION>Tutti i codici di organizzazione dell&apos;inventario attivi, escluse le organizzazioni master, limitati alla vista di accesso all&apos;org dell&apos;utente corrente</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>JA</LANGUAGE>
    <DESCRIPTION>すべてのアクティブなインベントリの組織コードは、マスター組織を除いて、現在のユーザーの組織のアクセスビューに制限されます。</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>KO</LANGUAGE>
    <DESCRIPTION>현재 사용자의 조직 액세스보기로 제한되는 마스터 조직을 제외한 모든 활성 재고 조직 코드</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>PTB</LANGUAGE>
    <DESCRIPTION>Todos os códigos ativos de organização de inventário, excluindo organizações mestre, restritos à visão de acesso org do usuário atual</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>RU</LANGUAGE>
    <DESCRIPTION>Все активные инвентаризационные организационные коды, исключая основные организации, ограниченные текущим представлением доступа пользователя к оргструктуре.</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>S</LANGUAGE>
    <DESCRIPTION>Alla aktiva lagerorganisationskoder exklusive huvudorganisationer, begränsade till den aktuella användarens organisationsåtkomstvy</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>TR</LANGUAGE>
    <DESCRIPTION>Ana organizasyonlar hariç tüm aktif envanter organizasyon kodları, mevcut kullanıcının organizasyon erişim görünümü ile sınırlıdır</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>US</LANGUAGE>
    <DESCRIPTION>All active inventory organization codes excluding master organizations, restricted to the current user&apos;s org access view</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>ZHS</LANGUAGE>
    <DESCRIPTION>所有活动的清单组织代码，不包括主组织，仅限于当前用户的组织访问视图。</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
  </LOV_TRANSLATIONS>
 </LOVS_ROW>
</LOVS>
<REPORTS>
<!-- loader xml for Enginatics Blitz Report: INV Cycle count hit/miss analysis -->
 <REPORTS_ROW>
  <GUID>C6E085D46FFE51A9E05362FB09050512</GUID>
  <SQL_TEXT>select
mcch.organization_code,
mcch.organization_name,
mcch.currency_code,
mcch.cycle_count_header_name cycle_count_name,
msiv.concatenated_segments item_number,
msiv.description item_description,
xxen_util.meaning(msiv.item_type,&apos;ITEM_TYPE&apos;,3) user_item_type,
nvl(inv_project.get_locator(milk.inventory_location_id,milk.organization_id),milk.concatenated_segments) locator,
milk.description locator_description,
mcce.count_date_first,
mcce.count_date_prior,
mcce.count_date_current,
(
select
ml.meaning
from
mfg_lookups ml
where
ml.lookup_type=&apos;SYS_YES_NO&apos; and
ml.lookup_code=(case when nvl(mcce.serial_detail,0)&gt;0 then 1 else 2 end)) serialized_item_included,
mcce.subinventory subinventory,
mac.abc_class_name class,
nvl(mccc.hit_miss_tolerance_positive, mcch.hit_miss_tolerance_positive)  hit_miss_tolerance_positive,
nvl(mccc.hit_miss_tolerance_negative, mcch.hit_miss_tolerance_negative) hit_miss_tolerance_negative,
100*( 1 - 
case 
when mcce.serial_detail=2 and mcce.serial_number is not null then
case when (mcce.adj_quantity=0) or (mcce.adj_quantity is null) then 0 else 1 end
else 
case 
when(mcce.adj_quantity=0) or (mcce.adj_quantity is null) then 0
when (mcce.adj_quantity&lt;0) then case when (abs(mcce.adj_quantity)&gt;=(mcce.system_quantity_first*nvl(mccc.hit_miss_tolerance_negative, mcch.hit_miss_tolerance_negative)/100)) then 1 else 0 end
else case when (abs((mcce.count_quantity_first - mcce.system_quantity_first ))&gt;=(mcce.system_quantity_first*nvl(mccc.hit_miss_tolerance_positive, mcch.hit_miss_tolerance_positive)/100)) then 1 else 0 end
end
end) accuracy_percent,
mcce.system_quantity_first  system_quantity,
mcce.adj_quantity adjusted_quantity,
case when mcce.serial_detail=2 and mcce.serial_number is not null then
case when (mcce.adj_quantity=0) or (mcce.adj_quantity is null) then 0 else 1 end
else
case when (mcce.adj_quantity = 0) or (mcce.adj_quantity is null) then 0  
when (mcce.adj_quantity&lt;0) then case when abs(mcce.adj_quantity)&gt;=(mcce.system_quantity_first * nvl(mccc.hit_miss_tolerance_negative, mcch.hit_miss_tolerance_negative)/100) then 1 else 0 end
else case when abs(mcce.adj_quantity)&gt;=(mcce.system_quantity_first * nvl(mccc.hit_miss_tolerance_positive, mcch.hit_miss_tolerance_positive)/100) then 1 else 0 end
end
end out_tolerance_flag
from 
mtl_abc_classes mac,
mtl_cycle_count_classes mccc,
mtl_item_locations_kfv milk,
mtl_system_items_vl msiv,
(
select 
ood.organization_name,
ood.organization_code,
gl.currency_code,
mcch.*
from
org_organization_definitions ood,
gl_ledgers gl,
mtl_cycle_count_headers mcch
where
1=1 and
ood.organization_code in (select oav.organization_code from org_access_view oav where oav.resp_application_id=fnd_global.resp_appl_id and oav.responsibility_id=fnd_global.resp_id) and
ood.set_of_books_id=gl.ledger_id and
nvl(mcch.disable_date,sysdate+1)&gt;sysdate and
mcch.organization_id=ood.organization_id) mcch,
mtl_cycle_count_items mcci,
(select
mcce.*,
(mcce.count_quantity_first-mcce.system_quantity_first) adj_quantity
from
mtl_cycle_count_entries mcce
) mcce
where
2=2 and
mcch.cycle_count_header_id=mcci.cycle_count_header_id and
mcch.cycle_count_header_id=mcce.cycle_count_header_id and
mcch.cycle_count_header_id=mccc.cycle_count_header_id and
mcce.inventory_item_id=mcci.inventory_item_id and
msiv.inventory_item_id=mcce.inventory_item_id and
msiv.organization_id=mcce.organization_id and
mcce.locator_id=milk.inventory_location_id(+) and
mcce.organization_id=milk.organization_id(+) and
mcci.abc_class_id=mac.abc_class_id and
mcci.abc_class_id=mccc.abc_class_id and
(mcce.entry_status_code=5 or mcce.entry_status_code=2 or mcce.entry_status_code=3) and
mcce.count_type_code&lt;&gt;4
order by 
mcce.subinventory,
mac.abc_class_name</SQL_TEXT>
  <VERSION_COMMENTS>Added inv organization security</VERSION_COMMENTS>
  <ENABLED>Y</ENABLED>
  <XDO_APPLICATION_SHORT_NAME>INV</XDO_APPLICATION_SHORT_NAME>
  <REPORT_TRANSLATIONS>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>AR</LANGUAGE>
    <REPORT_NAME>INV تحليل الإصابة/الخطأ للعد الدوري (بتنسيق XML)</REPORT_NAME>
    <DESCRIPTION>Imported from BI Publisher
Description: تحليل الإصابة/ الخطأ للعد الدوري
Application: المخازن
Source: تحليل الإصابة/الخطأ للعد الدوري (بتنسيق XML)
Short Name: INVARHMA_XML
DB package: INV_INVARHMA_XMLP_PKG</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>D</LANGUAGE>
    <REPORT_NAME>INV Permanente Inventur - Abweichungsanalyse</REPORT_NAME>
    <DESCRIPTION>Imported from BI Publisher
Description: Permanente Inventur - Abweichungsanalyse
Application: Lager
Source: Permanente Inventur - Abweichungsanalyse (XML)
Short Name: INVARHMA_XML
DB package: INV_INVARHMA_XMLP_PKG</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>E</LANGUAGE>
    <REPORT_NAME>INV Análisis de Aciertos/Errores de Recuento Cíclico</REPORT_NAME>
    <DESCRIPTION>Imported from BI Publisher
Description: Análisis de Éxito/Fracaso de Recuento Cíclico
Application: Inventory
Source: Análisis de Aciertos/Errores de Recuento Cíclico (XML)
Short Name: INVARHMA_XML
DB package: INV_INVARHMA_XMLP_PKG</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>F</LANGUAGE>
    <REPORT_NAME>INV Analyse des écarts de comptage d&apos;inventaire tournant</REPORT_NAME>
    <DESCRIPTION>Imported from BI Publisher
Description: Analyse écarts comptage invent. tournant
Application: Inventory
Source: Analyse des écarts de comptage d&apos;inventaire tournant (XML)
Short Name: INVARHMA_XML
DB package: INV_INVARHMA_XMLP_PKG</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>I</LANGUAGE>
    <REPORT_NAME>INV Analisi differenze conteggio in inventario ciclico</REPORT_NAME>
    <DESCRIPTION>Imported from BI Publisher
Description: Analisi differenze in inventario ciclico
Application: Inventory
Source: Analisi differenze conteggio in inventario ciclico (XML)
Short Name: INVARHMA_XML
DB package: INV_INVARHMA_XMLP_PKG</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>JA</LANGUAGE>
    <REPORT_NAME>INV 循環棚卸ヒット/ミス分析</REPORT_NAME>
    <DESCRIPTION>Imported from BI Publisher
Description: 循環棚卸ヒット/ミス分析
Application: Inventory
Source: 循環棚卸ヒット/ミス分析(XML)
Short Name: INVARHMA_XML
DB package: INV_INVARHMA_XMLP_PKG</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>KO</LANGUAGE>
    <REPORT_NAME>INV 주기 실사 Hit/Miss 분석</REPORT_NAME>
    <DESCRIPTION>Imported from BI Publisher
Description: 주기실사 HIT/MISS 분석
Application: Inventory
Source: 주기 실사 Hit/Miss 분석(XML)
Short Name: INVARHMA_XML
DB package: INV_INVARHMA_XMLP_PKG</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>PTB</LANGUAGE>
    <REPORT_NAME>INV Análise de erro/acerto de contagem cíclica</REPORT_NAME>
    <DESCRIPTION>Imported from BI Publisher
Description: Análise de erro/acerto de contagem cíclica
Application: Inventário
Source: Análise de erro/acerto de contagem cíclica (XML)
Short Name: INVARHMA_XML
DB package: INV_INVARHMA_XMLP_PKG</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>RU</LANGUAGE>
    <REPORT_NAME>INV Анализ успехов/промахов при периодической инвентаризации</REPORT_NAME>
    <DESCRIPTION>Imported from BI Publisher
Description: Анализ успехов/промахов при периодической инвентаризации
Application: Запасы
Source: Анализ успехов/промахов при периодической инвентаризации (XML)
Short Name: INVARHMA_XML
DB package: INV_INVARHMA_XMLP_PKG</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>S</LANGUAGE>
    <REPORT_NAME>INV Cyklisk inventering: Träff/miss-analys</REPORT_NAME>
    <DESCRIPTION>Imported from BI Publisher
Description: Cyklisk inventering: Träff/miss-analys
Application: Inventory
Source: Cyklisk inventering: Träff/miss-analys (XML)
Short Name: INVARHMA_XML
DB package: INV_INVARHMA_XMLP_PKG</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>TR</LANGUAGE>
    <REPORT_NAME>INV Dönemsel sayım isabet analizi</REPORT_NAME>
    <DESCRIPTION>Imported from BI Publisher
Description: Dönemsel sayım isabet analizi
Application: Stok Yönetimi
Source: Dönemsel sayım isabet analizi (XML)
Short Name: INVARHMA_XML
DB package: INV_INVARHMA_XMLP_PKG</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>US</LANGUAGE>
    <REPORT_NAME>INV Cycle count hit/miss analysis</REPORT_NAME>
    <DESCRIPTION>Imported Oracle standard Cycle count hit/miss analysis report
Source: Cycle count hit/miss analysis (XML)
Short Name: INVARHMA_XML
DB package: INV_INVARHMA_XMLP_PKG</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>ZHS</LANGUAGE>
    <REPORT_NAME>INV 周期盘点成功/失败分析</REPORT_NAME>
    <DESCRIPTION>Imported from BI Publisher
Description: 周期盘点成功/失败分析
Application: 库存管理系统
Source: 周期盘点成功/失败分析 (XML)
Short Name: INVARHMA_XML
DB package: INV_INVARHMA_XMLP_PKG</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
  </REPORT_TRANSLATIONS>
  <CATEGORY_ASSIGNMENTS>
   <CATEGORY_ASSIGNMENTS_ROW>
    <CATEGORY>Enginatics</CATEGORY>
   </CATEGORY_ASSIGNMENTS_ROW>
  </CATEGORY_ASSIGNMENTS>
  <ANCHORS>
   <ANCHORS_ROW>
    <ANCHOR>1=1</ANCHOR>
   </ANCHORS_ROW>
   <ANCHORS_ROW>
    <ANCHOR>2=2</ANCHOR>
   </ANCHORS_ROW>
  </ANCHORS>
  <PARAMETERS>
   <PARAMETERS_ROW>
    <SORT_ORDER>1</SORT_ORDER>
    <DISPLAY_SEQUENCE>10</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>ood.organization_code=:organization_code</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>INV Organization Code</LOV_NAME>
    <LOV_GUID>8E2FF36EDEB279D2E0530100007F1FF2</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select
ood.organization_code value,
ood.organization_name||&apos; (&apos;||ftv.territory_short_name||&apos;, &apos;||hla.town_or_city||decode(mp.organization_id,mp.master_organization_id,null,&apos;, &apos;||mp0.organization_code)||&apos;)&apos; description
from
org_organization_definitions ood,
mtl_parameters mp,
mtl_parameters mp0,
hr_all_organization_units haou,
hr_locations_all hla,
fnd_territories_vl ftv
where
ood.organization_id=mp.organization_id and
mp.organization_id&lt;&gt;mp.master_organization_id and
(
ood.organization_id in (select oav.organization_id from org_access_view oav where oav.resp_application_id=fnd_global.resp_appl_id and oav.responsibility_id=fnd_global.resp_id) or
not exists (select null from org_access_view oav where oav.resp_application_id=fnd_global.resp_appl_id and oav.responsibility_id=fnd_global.resp_id) and
ood.operating_unit in (select mgoat.organization_id from mo_glob_org_access_tmp mgoat union select fnd_global.org_id from dual where fnd_release.major_version=11)
) and
(:$flex$.operating_unit is null or ood.operating_unit in (select haouv.organization_id from hr_all_organization_units_vl haouv where xxen_util.contains(:$flex$.operating_unit,haouv.name)=&apos;Y&apos;)) and
(:$flex$.ledger is null or ood.set_of_books_id in (select gl.ledger_id from gl_ledgers gl where xxen_util.contains(:$flex$.ledger,gl.name)=&apos;Y&apos;)) and
nvl(ood.disable_date,sysdate)&gt;=sysdate and
mp.master_organization_id=mp0.organization_id and
ood.organization_id=haou.organization_id(+) and
haou.location_id=hla.location_id(+) and
hla.country=ftv.territory_code(+)
order by
ood.organization_code</LOV_QUERY_DSP>
    <DEFAULT_VALUE>select mp.organization_code from mtl_parameters mp where mp.organization_id=fnd_profile.value(&apos;MFG_ORGANIZATION_ID&apos;)</DEFAULT_VALUE>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>AR</LANGUAGE>
      <PARAMETER_NAME>التنظيم</PARAMETER_NAME>
      <DESCRIPTION>التنظيم</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>D</LANGUAGE>
      <PARAMETER_NAME>Organisation</PARAMETER_NAME>
      <DESCRIPTION>Organisation</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>E</LANGUAGE>
      <PARAMETER_NAME>Organización</PARAMETER_NAME>
      <DESCRIPTION>Organización</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>F</LANGUAGE>
      <PARAMETER_NAME>Code de l&apos;organisation</PARAMETER_NAME>
      <DESCRIPTION>Organisation</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>I</LANGUAGE>
      <PARAMETER_NAME>Organizzazione</PARAMETER_NAME>
      <DESCRIPTION>Organizzazione</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>JA</LANGUAGE>
      <PARAMETER_NAME>組織</PARAMETER_NAME>
      <DESCRIPTION>組織</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>KO</LANGUAGE>
      <PARAMETER_NAME>조직</PARAMETER_NAME>
      <DESCRIPTION>조직</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>PTB</LANGUAGE>
      <PARAMETER_NAME>Organização</PARAMETER_NAME>
      <DESCRIPTION>Organização</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>RU</LANGUAGE>
      <PARAMETER_NAME>Организация</PARAMETER_NAME>
      <DESCRIPTION>Организация</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>S</LANGUAGE>
      <PARAMETER_NAME>Organisation</PARAMETER_NAME>
      <DESCRIPTION>Organisation</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>TR</LANGUAGE>
      <PARAMETER_NAME>Organizasyon</PARAMETER_NAME>
      <DESCRIPTION>Organizasyon</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Organization Code</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>ZHS</LANGUAGE>
      <PARAMETER_NAME>组织</PARAMETER_NAME>
      <DESCRIPTION>组织</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>2</SORT_ORDER>
    <DISPLAY_SEQUENCE>20</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>mcch.cycle_count_header_name=:cycle_count_header_name</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>INV Cycle Count Name</LOV_NAME>
    <LOV_GUID>CE2B47CC27D19E6DE05362FB0905DA52</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select
mcch.cycle_count_header_name value,
mcch.description||&apos; (&apos;||mp.organization_code||&apos;)&apos; description
from
mtl_cycle_count_headers mcch,
mtl_parameters mp
where
mcch.organization_id=mp.organization_id and
(:$flex$.organization_code is null or xxen_util.contains(:$flex$.organization_code,mp.organization_code)=&apos;Y&apos;) and
nvl(mcch.disable_date,sysdate+1)&gt;sysdate
order by
value,description</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>AR</LANGUAGE>
      <PARAMETER_NAME>اسم العد الدوري</PARAMETER_NAME>
      <DESCRIPTION>عنوان العد الدوري</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>D</LANGUAGE>
      <PARAMETER_NAME>Bezeichnung Permanente Inventur</PARAMETER_NAME>
      <DESCRIPTION>Kopfdaten - Permanente Inventur</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>E</LANGUAGE>
      <PARAMETER_NAME>Nombre de Recuento Cíclico</PARAMETER_NAME>
      <DESCRIPTION>Cabecera de Recuento Cíclico</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>F</LANGUAGE>
      <PARAMETER_NAME>Nom du compte de cycle</PARAMETER_NAME>
      <DESCRIPTION>En-tête inventaire tournant</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>I</LANGUAGE>
      <PARAMETER_NAME>Nome inventario ciclico</PARAMETER_NAME>
      <DESCRIPTION>Intestazione inventario ciclico</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>JA</LANGUAGE>
      <PARAMETER_NAME>循環棚卸名</PARAMETER_NAME>
      <DESCRIPTION>循環棚卸ヘッダー</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>KO</LANGUAGE>
      <PARAMETER_NAME>주기 실사명</PARAMETER_NAME>
      <DESCRIPTION>주기실사 헤더</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>PTB</LANGUAGE>
      <PARAMETER_NAME>Nome da Contagem Cíclica</PARAMETER_NAME>
      <DESCRIPTION>Cabeçalho Contagem Cíclica</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>RU</LANGUAGE>
      <PARAMETER_NAME>Имя периодической инвентаризации</PARAMETER_NAME>
      <DESCRIPTION>Заголовок периодической инвентаризации</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>S</LANGUAGE>
      <PARAMETER_NAME>Cyklisk inventering - namn</PARAMETER_NAME>
      <DESCRIPTION>Cyklisk inventering - huvud</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>TR</LANGUAGE>
      <PARAMETER_NAME>Dönemsel Sayım Adı</PARAMETER_NAME>
      <DESCRIPTION>Dönemsel Sayım Başlığı</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Cycle Count Name</PARAMETER_NAME>
      <DESCRIPTION>Cycle Count Header</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>ZHS</LANGUAGE>
      <PARAMETER_NAME>周期盘点名</PARAMETER_NAME>
      <DESCRIPTION>周期盘点题头</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>3</SORT_ORDER>
    <DISPLAY_SEQUENCE>30</DISPLAY_SEQUENCE>
    <ANCHOR>2=2</ANCHOR>
    <SQL_TEXT>mcce.count_date_first&gt;=:count_date_from</SQL_TEXT>
    <PARAMETER_TYPE_DSP>Date</PARAMETER_TYPE_DSP>
    <DEFAULT_VALUE>sysdate</DEFAULT_VALUE>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>AR</LANGUAGE>
      <PARAMETER_NAME>تاريخ البداية</PARAMETER_NAME>
      <DESCRIPTION>تاريخ البداية</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>D</LANGUAGE>
      <PARAMETER_NAME>Startdatum</PARAMETER_NAME>
      <DESCRIPTION>Startdatum</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>E</LANGUAGE>
      <PARAMETER_NAME>Fecha de Inicio</PARAMETER_NAME>
      <DESCRIPTION>Fecha de Inicio</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>F</LANGUAGE>
      <PARAMETER_NAME>Date de début</PARAMETER_NAME>
      <DESCRIPTION>Date de début</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>I</LANGUAGE>
      <PARAMETER_NAME>Data avvio</PARAMETER_NAME>
      <DESCRIPTION>Data avvio</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>JA</LANGUAGE>
      <PARAMETER_NAME>開始日</PARAMETER_NAME>
      <DESCRIPTION>開始日</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>KO</LANGUAGE>
      <PARAMETER_NAME>시작 일자</PARAMETER_NAME>
      <DESCRIPTION>시작 일자</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>PTB</LANGUAGE>
      <PARAMETER_NAME>Data Inicial</PARAMETER_NAME>
      <DESCRIPTION>Data Inicial</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>RU</LANGUAGE>
      <PARAMETER_NAME>Начальная дата</PARAMETER_NAME>
      <DESCRIPTION>Начальная дата</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>S</LANGUAGE>
      <PARAMETER_NAME>Startdatum</PARAMETER_NAME>
      <DESCRIPTION>Startdatum</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>TR</LANGUAGE>
      <PARAMETER_NAME>Başlangıç Tarihi</PARAMETER_NAME>
      <DESCRIPTION>Başlangıç Tarihi</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Count Date From</PARAMETER_NAME>
      <DESCRIPTION>Start Date</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>ZHS</LANGUAGE>
      <PARAMETER_NAME>起始日期</PARAMETER_NAME>
      <DESCRIPTION>起始日期</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>4</SORT_ORDER>
    <DISPLAY_SEQUENCE>40</DISPLAY_SEQUENCE>
    <ANCHOR>2=2</ANCHOR>
    <SQL_TEXT>mcce.count_date_first&lt;:count_date_to+1</SQL_TEXT>
    <PARAMETER_TYPE_DSP>Date</PARAMETER_TYPE_DSP>
    <DEFAULT_VALUE>last_day(:$flex$.start_date)</DEFAULT_VALUE>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>AR</LANGUAGE>
      <PARAMETER_NAME>تاريخ النهاية</PARAMETER_NAME>
      <DESCRIPTION>تاريخ النهاية</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>D</LANGUAGE>
      <PARAMETER_NAME>Enddatum</PARAMETER_NAME>
      <DESCRIPTION>Enddatum</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>E</LANGUAGE>
      <PARAMETER_NAME>Fecha de Finalización</PARAMETER_NAME>
      <DESCRIPTION>Fecha de Finalización</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>F</LANGUAGE>
      <PARAMETER_NAME>Date de fin</PARAMETER_NAME>
      <DESCRIPTION>Date de fin</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>I</LANGUAGE>
      <PARAMETER_NAME>Data fine</PARAMETER_NAME>
      <DESCRIPTION>Data fine</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>JA</LANGUAGE>
      <PARAMETER_NAME>終了日</PARAMETER_NAME>
      <DESCRIPTION>終了日</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>KO</LANGUAGE>
      <PARAMETER_NAME>종료 일자</PARAMETER_NAME>
      <DESCRIPTION>종료 일자</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>PTB</LANGUAGE>
      <PARAMETER_NAME>Data Final</PARAMETER_NAME>
      <DESCRIPTION>Data Final</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>RU</LANGUAGE>
      <PARAMETER_NAME>Конечная дата</PARAMETER_NAME>
      <DESCRIPTION>Конечная дата</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>S</LANGUAGE>
      <PARAMETER_NAME>Slutdatum</PARAMETER_NAME>
      <DESCRIPTION>Slutdatum</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>TR</LANGUAGE>
      <PARAMETER_NAME>Bitiş Tarihi</PARAMETER_NAME>
      <DESCRIPTION>Bitiş Tarihi</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Count Date To</PARAMETER_NAME>
      <DESCRIPTION>End Date</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>ZHS</LANGUAGE>
      <PARAMETER_NAME>终止日期</PARAMETER_NAME>
      <DESCRIPTION>终止日期</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
  </PARAMETERS>
  <PARAMETER_DEPENDENCIES>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.organization_code</FLEX_BIND>
    <PARAMETER_NAME>Organization Code</PARAMETER_NAME>
    <DEPENDENT_PARAMETER_NAME>Cycle Count Name</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
  </PARAMETER_DEPENDENCIES>
  <TEMPLATES>
   <TEMPLATES_ROW>
    <TEMPLATE_NAME>Summarized analysis</TEMPLATE_NAME>
    <DESCRIPTION>Summarized anlaysis of cycle count hit/miss by organization code, cycle count name and subinventory.</DESCRIPTION>
    <OWNER>ENGINATICS</OWNER>
    <TEMPLATE_COLUMNS>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>17</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ACCURACY_PERCENT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>19</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ADJUSTED_QUANTITY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>14</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CLASS</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>11</DISPLAY_SEQUENCE>
      <COLUMN_NAME>COUNT_DATE_CURRENT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>9</DISPLAY_SEQUENCE>
      <COLUMN_NAME>COUNT_DATE_FIRST</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>10</DISPLAY_SEQUENCE>
      <COLUMN_NAME>COUNT_DATE_PRIOR</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>3</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CURRENCY_CODE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>4</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CYCLE_COUNT_NAME</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>16</DISPLAY_SEQUENCE>
      <COLUMN_NAME>HIT_MISS_TOLERANCE_NEGATIVE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>15</DISPLAY_SEQUENCE>
      <COLUMN_NAME>HIT_MISS_TOLERANCE_POSITIVE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>6</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ITEM_DESCRIPTION</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>5</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ITEM_NUMBER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>7</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LOCATOR</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>8</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LOCATOR_DESCRIPTION</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>1</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORGANIZATION_CODE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>2</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORGANIZATION_NAME</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>20</DISPLAY_SEQUENCE>
      <COLUMN_NAME>OUT_TOLERANCE_FLAG</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>12</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SERIALIZED_ITEM_INCLUDED</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>13</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SUBINVENTORY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>18</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SYSTEM_QUANTITY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
    </TEMPLATE_COLUMNS>
    <TEMPLATE_PIVOT>
    </TEMPLATE_PIVOT>
    <FILE_NAME>INV Cycle count hit miss analysis template.xlsx</FILE_NAME>
    <FILE_LANGUAGE>US</FILE_LANGUAGE>
    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
Gcc2un8ZRpdDb49EoaJlPMObd2qhTxAFNt1RICnTlP8WrM8Nx7aWkKH/S8U51mVXd5glUi0rOEMe9XXy9xpJmve7btrNGZnjANn8fN1+E9YtWz3i5v/KqtenyJd7p1Z9CGmQ5yGr9rq99+4I1imjHnIV7j6eJkjnHLGYbjm/Pp15VuNoeXVAe2NKbX8774FYEoTi+IJZ793AH5njBNGHSGvo6A0ucc8NY1alw8vrFqAEqfc66zdoh8+/La1QGRP2uaxMYvXarDN15g6WnNubLfVEAbEu1um7lWAc0009nU9I44PFMME5mfcz9vUxMBgCNRQ71snM758I1fPMTlGWsaZT14pVnfe5fn2OEt2MkYY8aPvjHk9WEnV5SeBpSe8kTO+PSbmsgZh6ejxZL9zNvYm5rMFy7vtoc/a3zmpnbtW4FlC58Kjdw5j203NbUj0JnWyAWoNee55aYm/cCX59rj65lfzDnSb2q1DZSBFutweHMu7La1BLcdRrZQp82bMtCPrgj0sIQaRIt3P+d7v62l9xxesQoyv5lzllP84E40HTXHo7KjnTNnf7+t5Xgc3ggWHpvC+5FADb97p7WN3Hs62Kxgzdnfl7Vr55iWq7m8mSt8betyprJqDh535qzQZV2L9SydGkqF7bs5X3y/e6b+XphCYc2beQe7rOv9HOtjUt08MmW79eqgIvny8ubi7NnFm7/fXP1427eR3s3PZz/99hPr0t3lS3wgEil1rK/lPzr66dPr3/2GX/rn2SeUzy/Ob25eXZx9df767XfnL27eXl++/v5dX+nb58/k59G/85fPjjj5dAxS2U5epVACjqdsgUIFHpfWpzu68/HGIUQbQ3GYgSs32Y4+HWlYspNPyBiW7eTvue0PQBeW7eTT0WVlO/l0XFnZTj4dV1S2k9dymYchisp28lpUM1UTylWWyeKadMlO7ikTlBxMWI9loSJyBJ3t5LWoJj0qQdXTognElSc7uXUgDqs10bC5hduQuMdNIJOd3CAFo5PTlNTVOSgyAnsz2U7uMhnZFB7asYBKA8cQ2U5eue2yQ6BNGU4eSA6R7eQuh4MZADipIstil4SzndxhLDg5UFLQlCJGOed37rJXTq5RzaCUgeux2b65y145udC8DvRHgXCybCd32St7obowQCMOqsPAIWuyk3sSCOE+UdojFgPJ4eJmLdlO7rJXvjl7gWQywvwBrCIMPJnt5C6H4+QqWEHeDu9LIOFPtpO7HM58u9ZqMlqNgwtPcvLN4Xzp+c3565fn1y/fP2PyY2XgY3x7rrx9+DlDxbveOXlOD8cZyRwLceAp4qYtU0zYjvz2ns/Wvj04Io5e5r0b1Hk0iX17Uhuhb58390Pj2xX67e3md0JxFxbqMt58V8ro6WU9SFRn5/7tXTkDdJIVePX54Afn7fM9lEhPX4zLmL24uCQv4c33fLZ6etkH5fQQ+s4ZO9p4Jmfzevrty27eoOnGs3jbzaeNgddDlW/Ou8CNb1MLYFz2owRFJ3RPc454nstYTy8oOlId2hmzzvM984edXgl/ek4f19LI5/M7j6DU0w+5Hosys871jMPtLrehNOzV57MKHtjUyfjt3aCGb28sAOR6M98H7tY1rSJjfSHNJc+f97uv33xTasLrzXpBrunc6EK9nvAdke0IGmHG8b5b12o8433h29PbmXO8b/wIQ72eKG/LnJKnP+Nv31R5rMl0lfNHSNzn7fVq7954zmRPKBJ2li/eN57J2eK9dbZC9wcynr4W8VSAWup7uhtxw5x8py+eAQTMIQvxevPBYs3a6xVPBMHpiXjATfn2q6f9nNkdi2eC0NNbridzvDn7/GLj6VGNx7tXXUqBGs+5wi3WuRqd3sjOtKc7a7qvYjByd3rp6VLeQmc850y3NBVWV6EBUa8n27Gzjnie6M4iHpkujx7Zkjl3tIunwlBVToElkuuJWNOMq5zime4s3mtnS+Z4s473fjlcb771dAte73Hd/A/fDW89o60RHynbGfDEQGrPSQBbH370pkqAwkdXAhTamVb4h/DZJjt663Mc/eqDaAEcd7M9+oQ0Z8k++oRUT8lO3hqR04jGVdiOhnFtoFRBsqNva0ye7NEpvxdJzYxZIKokRxzd6MphN4urZLJ99OnIrbKdvEZfagrbissIRKVkO3mNuxRKL10nQ5chUHYv2ckn5PNKdvK2ec91VwJD2aSLa1ckO7qHHhp1o+4WPcI9k2PKlhpbq6huDT4usFLP9tFrnOwiP6PaM6FCDMlO3hq8YpTB4t6VmjoWapvu6LX7vh6UtkRJOa4vl+zou5p7h6lSNQggKZ3v0myxhZm7bI3ADAV2sFM90bh2ZLKP3lrQHj11Nqn0q0PEPt+gXozhY3R0WZ1VFVmouOPasMm+ejHlMHd0YyHv5kz101QpaW/XSIAUz5fZqni5cJgBQNSudVGcHH7Gbq7WmeKt2+ABiMVsw3rxYtl8dUOVmc7IbL96MaDsKK7fCijCShtIP53Ow9eyOeI61AiyMjNjSrPiNbKp2lgQ1uqlayLh08m+etvW+nIEN44OnAT8bNx+bLKjF6+ObcGtyIogFz5wOTbZ0Xfuo+vJBU4AkoL7Pl8HXyp0xBLbtHpBLzJwGz7ZRy8GCnWxrdH2FI2KQOBguqO7mpULD4qEr67t2MAdiWRHrx2cISNr0GyAC5HfXDEkxZgd/HUHPkMKy42P4z5I9s2LObHR0YEIU7bRnxG83Fy/eq0tx3wVQmLNYed7cNd/x8EJPlQPHroQkOyyu5YcB8fBEdR62Xw04cRZguQqb/x22ATBRSDFQ7IvXktjTO4cpz5nbGAtoDFYVfAIjn2+4JFaOCN703KFLz5f4m3XklGvblPVVkhK5+rcagUq+F/QQnxxyBzmm7bWMhjUvZVen9I8kMUhmVuvtmNEVWFQ/psvFLTak5CWu1SnsDPOl4K52pLg5NaNEXLGuTo4IxoelWim8kmrPXSLM9s7r6UxNNsZrBHRRN91tt+8lsegIQLtNogRfs22LDc4zOi232o5y4BlvsPUWiaDgLkm7QwU5ztG9pt7oiogOCHxcLSbZztk8NtrOHYGSyogAlZmvjMGv50vwVyZGbRSC2TbTRbV/GY+3xymXRUQ6aXXPteo5pfX7OSKGwAoM9/Ziucj0JML7xghjRxuvh6uksMJuy6jc646o/PZLnY0GzdANsotJaGQnvNsU5nmPYxTUqfKJwcuMlcf165d09kIl4x0R+78XI/erWtsS0ZDAOuK0MzN9ejNpk4wJ6UqUzVGqbM9eusZRZVxRGTBwLlDrTjbfKbbuBasEe1wdBbSpf881wtfJuSZyZa/b1xzRj38QJ0Nyn+2g+SmyqUIr5axCeLmZtuXaqtvna/+ThRrtl+9GP5pxKSHm1P2VOnJzTa4Fb+tyltXFUAhkATyPVsP321q7JHMF41BEMbg2X71tlq+0ITWtRYRO51tSlP8zqamNLLbQYNmzrwj3aZGGGqoGS1aH5vi54czMRS70M7DS1wHSEBKM1s3V2xFbXR0vrq5OeihZ9ulKX6jh7cOaEjjejNnDGxTpcUGDGryN6ADZ5vNtdta0aoAYOnShCqAJKvcWt+R1WzOcnh2HGa8n93Vv3qLm2PqxKRxvhOI6oU32hWGrHMmFCte3Y8LL8N1OfqsO7Jd9a1vB7Id6IBnvJpeVbYDPaS4d8llZxvcig3PR9kckDGduUkOP1s3V7yuGW8dVCy4AqF8n/MWmy1rjb46ACJl4JCdptl+9W5TGzfy1Tm60eLOFhfbVbs0uDkDzLHQNdsGVVcdNyq9lG09zHh70aADd9+6AEqMDJl93dn25hrP+C5kmQPbDpPW+e4pd7WZm0gVq8IBcjbzZSRotrW25G4oXyAQnO+F76rjRihn6MPDv8EIYrZvvd1V9JvEzZmkhzRl5wotMDId5+Dh/+bYbPrMtxfdeq5Qc/C65ATF0nxHbl7igOKFhEZPjmhToBh7sqZkV2tF2w7AgJCd7QCi9Sypet9NzUTkmGfr35ttzb+DCDchlznTB1ZJUpVMzT76fKlxPTRYWDiGNkXLbH22L72r9eDBwtv6rvSiZ3v0tVvfxceBBzfqcwT5ZnvyrqpQRg6rbTmIZ+br3jtftOlTt94Uo/X5itjU4ODy0o2JhMc+24bkuoIkGfZ9jAd6tiCarprN4OS0KcfRZ0w4VJMzMTC4ChfNV3XUw+VwcaYuTjxng1cLrTnyqTUmuOc0bCywAZKcbwrb9DXub/YaVbNJdnhn25fqqrKjttkn9KizPnpNycV2vDSJna/KbuPbkSowPHAhgwWf7ZSx9ZxLdnSYh1oIGuY8Vq+qzbLKyto6b/3xyZnQWt6H4z9fvrm8en329fnLsz/8fPHi7c3lTxe3AU2C2s9nP/32k+moSfQBvZb/5qg1++n1737DL/3j7P/0zy/Ob25eXZx9df767XfnL27eXl++/v5dqvHt82fy8+jf+ctnJxigwsEkhYy5e1KcsF23rAZwoR5cCTWsgQelLR+V4GU1QOtAs2oBGUVBWML8MSzFTWsBV96oBSTT3QkpVVz3KqsF3DRSIHUD1ySAQsNaRlQ5SQ1QfQMUuFDXrGQDsg/r52Q1wHueAHEA3AlDqrAEMKsBKkIo0sGmxcFgltWBuXtBvxOJDxAdnMEJxnESZr0BLhVSA0gNhIYpgSCM0yarAWqpUK8YLCpAfMDso0AtDEoqoFSsgHLCplhJb4Dfn+L0ArDXMEhBENbcz2qAWhgUqXoh6ZR9mrkbwLi1D5u+Qjl+2+mnGJh7ItQ5IKo+AeGzA3QONm/uUcBv07FtQCqME9SCePZ5gHHX3X0CAkrVYRcGsFphxsWQ0b0cGoDdMloi2hMS5dO5t0T8aiEGoBxm0KszkPn7AJcKy3ahwht03hs3DsiaB7hUGANIOaA+QDYN5+4DXCoMThkfoE3BhjHg3H1A77qi3ABbKqcYIhOcex5gLa+7UUBg+iRCorQUCFZP6gOME2dkAB2NUAuwpREnT5HVAK4lZlFAq0EZjj6uYujDmaK6rYt/EAFCjQaclQVE3n+Y97O24kPPBY85uot8HB0ed2V2Bs4641XrrYt5enSTiSXoz3cRr9u5aGcX3iZgcxak6XYuzulXl64npc6cuQVaAzQdRjihdX7ScHSKnFlzC+xccNejS4XDtgJ0SfNF+PmlW45Odq/0xn3kvD9bcGusbh1deI7+jt44bMqZ7ejdznW17K2TzhPXyefChjvZjt5saykNC/aq01HgAgxr6GU7erdzrTx969LJwr0Lgj2qj5Hv6E6swhJZLnwjClRW4Ee0cfMdvVa+cOGVz1v0t8IKt3xHr711Y4WTjYUZ6wt2u1r5wtF1ctWK0t5cL3zvKSX0rQt0QzHc833rvQ1kRymNCWpKl3bGRCJNrV6XDqXJFuwCm/TZ3FxTq9eFU8IkSqRunetbb2r1uqgMcnQu/JyP3nsmEdlJG4JbS49qtuVLUyta5avTkVVm5xlTo9VyeGGFQzhYJNdmvGXfeDAOFx4oBkfnkxPcZpvStH7+qEcXwiQ2zWf91T2DjB5d6nU8PCs5syVMav3MEfSlMWpA68yFn+3gqVnXxCWNNwi6JBk5zzWlaT3bq2roCm+Q6InOuHxpqmqqxpPFV2f7NgxmkS6H91p7+tVtyEyrwnay59igaq0BNaIyN6JbYNZz1tprTZbgbr0uX53gBqxMGKPm+tUbr7Vnbk6hBaxZxi3ZZXvrredS0bhu4pI0o+MgtdMc/fhF8246soGkcKq2cSALZZpgyVRYZRawYtisaxYw7XRCPROpsBwv7R2oMWnRrFbRzXYb2KRPawGHvDBGLWVGhWUnzhUmtUCVYYmOPXOajfBfxxFGJjVAa33KEbMYS2bGngjkKqx7ndYCDo3BI5BfA7daHPwoqQUaz4WuFhBxF9wADyGsyZPUAh5jjAFAmxrvFP2OuT8CD8vRGyCTS+UXjGvuZr0BbmAvK1ZaCnL/IyUbkxrATzH1CdDtlPY+Dc+5+4DW8FcuEgpwwRbtwpA6Wa9ALRDaujXkqo9ux+T4urhZ1/JhUYgY3GCcrF/WK1Cj3RQicdWDiVS9SmqA1nZqHNOuQBpU7c1oOSI6wWktUHsEpl5MS5TWyNyToV0tEBAKTUCBvkBYWzjtFXCRQMinZP4nyq4MfufeGyoexagWkEcAARUQ/TCwdto7UAsFLCnoK2BJYfbpUPEQLyKhap4Kqg8mxjCIV9I7UEz+bRQMAa+bkP0CKJiaqnYUFrjdPp49DVkx4ZjDO6CekKpAVu8jiamTvoLWpADdKxhmRZAPzD0hKsY1N7oD8FDZpITSeO7RsNi+ubOANYllXj7/O1DLiskHYKAwrPfsc0Ib5zs/YEJTXSQnQVpPWOuSEg2xwFbGZU3Y4mpSCxTz9T4aItNQ5BXEAcWSWsBvtllpSChAe4pHMPtQYPTbPhhqYcRu3+w75cXIhkYWADyDBbRRbKyNM+6R1c7PvFS3QDqhJZz5+YsxFLg3IOAhkc4ORE4mdYPFXvnIAkBnlKBIRIXn3iR0yZCwM0kqYOng7M/v5gScHyApLVLOT1E4dx9YS4TwgUyKelkCNGz1jGNALQu4nZSxDhe3GJXUA9baQgKk1vbwAsCTtQjIqFgRM8JRN/dyuBb/yAG1DuD7zx8yVYn/AIYMNxm5Ipf0/btWAPEP8DSAKSG6mL9IUbOtV0GmzsoLmH0roNoLEYkKnQ7BzDr7nuimlgSAFGBCSAQQYt6ZJ0HVXgiOAC9ACoAjnHsW7BVrBTas68KcHtzo3NOAaicAVjsWqQiCkUvDSeNgtREA1RfU5DgAfs29EWBQmFEnhE6ALpLJWGT2YaCWChntl84GZz8f9suUIs6grDgyFwxktkzqAwwFMnoCIIW0HUoqGEfomtUAlURIONBUooSd6tl3Q5pKO0QMoNNx1uhmPxJpKtWQkIIpZBTelDh226xPoNIQEn4sJsPcfybDc18fmZA1KOkVmJBLJakFmk2NTYaxmPJ7s0c3f+FejxiVqZA2xpVPZ/ZIsdZzxmEBaHWUW6YTZzjzrkhXZdIybg2Ui4VHbOYWaDY1Bjn4hWgLMB4VrsyZW6BduwEJrwBPqHeAfKCd+0Jt50nVzBNiAXglIumwk0bDYky4I241/IB6QvhVZv8Kmk3NAiDH6Y3wBFgonTtMoNm49pj6AZP4EazQ3PuDbdUPcAfeKf3M/Q60nm2PO2B75SrkF0cWntQTthvXIcMCQjal8mbMCudeHXfVO9CpLoZSjM4+J2yrtSGDAt0iEiXfuWdEbTUrNtZBYoFoGc88K+6qfsBgU9ofeGQ6tidwjGzctEg94ZARgZ2bfTTcOuiwRkOpDamO0YCbvR/YOvCwVkYyMeQVyCrVzP1A65Ez9go0I2KFYvZ71e22lhEBINTakDWi2dcFxah0RtVx/6RVpTAg5LPn2GiqntCodkDQLYB1rhiHxugOCHpAQZQL6JS2nosbTwh+SO+A8CvMnXCqq8aC7UA4BRf37NkFWs8/qnfAKiM6pfOHUBlAZOQHgBGCJWZoSF0w+7XirtYnBE0NhAb4CDpTc+8TdhuHodFXIHUBO7WMDOZfHdem58QCQxKyVDf3qVlX7ZAo55atlcx+rbSp1YYiLKmxgLnhAvxAJRaI5pwBihdAQtpUa8PdUBfAPjj7TmlXnZrBNKPLVUAq598j8iqrtEnBE5o+C/nA3DOiZvcePwCikmRgNf8Fu8Yz0dodsCVrsGSz7xV7HlYZmw5cvDBOzX9q5kXlyYrJiKiMYBmgOp5/VlyZmAzyu4asnvuCUeuZaPUVGPsgZDOzp5xqtpU+oawXmEjPAvgXW8/Fyx0ARWPsg1RGc/cDrWeiFb6VvTrD/Kn5PQ+r3gFB1yv13OwpB7raxGSQZwZDsoC5Yef7A/oKpEsmvGvzjwWdr47ND2iXrCEnnP303Eg2R0y0RsIpvCPzz4q7aj5g0s0qWzh7+qXWtDnvTkxEvFr7AwIjmTuKxgMqcQMGLVe9LqNrnjMDnSfgUflWI6ZHq2j2pWHjtbxVts+CoQjVzH1g0vS1UACkVNWaZPF87m3Crqrha+uGQsW7BAvUpHps1UxlnGdfGjZW+IwSIgPXKxvl7BetWk9EpYL2QEpFuVF0yyaNhvtmxH+Wsydn//P89ZvzN2efX9784+zZ5Zub68u/vr25vHr97s/07fNn8vPPZz/99pODf/er9oBAqz/7/dubm6vXZ89fXF+9enX21dXbNxfvfoc/NL8u/L9fv/sbf7r677M/NGd/On/x97Ny9uXFTxevzvS31v9I/z5tI0hroC5bvWfCtP8N3oEX5da91j+3Navdz/u/qz99ev273/BL/xT7zuWfL99gj7PnN1fXF2/Ovn1etcz+H//jlwVlnn2K99mXX/7hT3/87E/P/sfZ83+8vvnbxc3li7P//fXV6yevzm8ufv4/zp6/vf7+8sX5q7M/vrr66eLN7XORP/xgjxr6gkCialei71G9QPon2n81+e2q9mgObIN+1EOY5D8/L83qYH/gq6tXF2/+fvn67LOXf7t4c/mTXpXbP+AUZy6mlaD3gYnF/i/iroGcudvt691/++L3f/rs8//15dl/X719/fLsJXfpzeXr76c+eWM3005++BdxJ//iz6VvD7bGnv/jmoNe/Ops/fnnZ/99efO3s6b8XM7+4+Li5avpv/z+fpOJvTNF3On57n05fP7PPvv6my8+P/tP/ezPPtJnf6Le0fzfwxy6Wx8wSv7+s/949uSzL56d/fX89cvz7x/Cqb3D6Nedmo5fh1u+/znuM3PJt705S61jv/jzZ5+ffXPxw48X1+c3b68vzr6+vvrrxdnnePTrB3Dp//z0Bxf7IS/5/vTP/vCnr774/A9fnn3+6or3/c35jw/wsP/5mZ/o/6xffP+T+977P/Lzi/Obm1cXZ1+dv3773fkLvtngjfVzHiY9+0L1s+ebppR9EvSH1z9dkTVdvHr788XZl+c/3lz9WPHnrgSAaEHAArd0zNUZqf5HNRT+QjZzEMfe/7BPOfb+3/nLZ6QF+78c8qGvz1+SE719efH6pnJoRzLCoUl7dXlAxiEfcujRx9x/1sN0bmsagPrP/pOHPr0FHERGP7ssktEFhniwOhQcffYPssDGcIf6z/6TiDa9BVz/Q++AyNLJJuF70vgPtcBBQl+shjRj6X90H+gOU/rpLeBqXyxgFMTSAHvPMuGHWuBOUdNuc14Cr8ynJhgUOnkJVZzUvEzgVkrNExg8gKlQdRzwoSbYv4ONYdDt7id6Bp1dzcMWkD0DFWQCK1dHjH6oAe48g8Y4ndP5Qj8PMF+oK6U9Q7FqN/wkExQjc8hnAocTspSAuSCeEH9Y3aI5xQRbo7HLZwHXx1ELSCYI0wo7JFWmlZMssB5VeXtbfNSA6OUJzQIkRViANZK4aLDKaYLWOv4jZ8hCIVMhuwRhnmBtHGf5nkGtNmCZTLMiCIfqk8FTnkEp5lSymaDtHMOAkO+pRB/geXYq75USHEbErksZDTqrWUbPgC0SZZlAprIL8wS9KaFkuwO9V6fQrAhqfmEeAzdb7eqf9AxaY77NZoLG6jZ3Cfb0c2G+sLNhezYL9F6hQx2BrBTCQSmYuXcdxv+4etcSOuUS7Oy3ymeBmiOw1WIsEJoSNKaGkc0EraWr3hcq5xBtgsBW0XrUIsuRFzY2LXJJkfHNSKMkrF3YmBpCtjvQe6EWiwYaD+Gdqiu2neIISm+QjHwmqGXGmECJJlitra9Xn2iClOGgtazHB0SkOtinolUUlhV1u6TvoJIZyzaRcfSzXRwWEBnkpAwHjSffEtCgtEzpm8uCdZgz3BqnQzZP0HrCFbWATI80INY1i07yBCsLrtlM0Jm/v+sJ5B2QEwj52FOr7ccQ6pNMwCA7pwkq1YHcAmuXvW+Z5BQTbC2/yHYJeusKjy4ByyS0CXSpLHB40hjFTzYTNLVOiezZgwVEvY7yIGyMWgbAdjYT9F7ADG/IUpUS7yBiWFdyPeUdgFtMGRA6O6J7CKLiB5yATfuwRgEtw5S+oKuVSLJUpK1zQLFWQIQEhI21pvI9hEqVKBumt7otdW7ekx5CZ7OYbCboDOwyIuPDHXILRL/qPfRDp5igaUwcIp8JKsAauQVWIdwXVnIXVLFO6gtqhITkBSZaEZkZwfSTslLubVLoHoLxdKPvXudgOuUhtJ3tI2R7CL2XMJKdAC2V6RmyXxYXFNf2e+UzQf0hiHYJhAMMU8O6Bc3KAnA2E3RGRj5Kjdi1pX8uK4bwj4TlBeuctXLvZ4nsmZIgq3YHI4Q+rEZo1sZ4nO4WVAnbjX5EVZ7rRM0nucNNUl9gbNyjiGC8A0REls7DfEG3s/XtbLegtz+WM4EgK4SPLXCM0pV1yofQ+76ZaTuaqh1Yw7Bb0K93KYvldl2jKpZp0iBpZvQUEZXiZqC6yPYQWhtzenVHILcUy8TFsO7pus3ZOOuq8g1GQmIcHGFBkUQ0pTvs/Fzd9B2tUqRxFmaCddLs8ESZ01PygnWTMygOADgXFE3lU99ClDvsetvEzuYOOz9W1ocg8AoYKiN9wXpjaVY+E9RULFjCMLwhU8WwMmm3y7mPNQSq0UOAhwITMFKEiySsX7BdJQ2Kfa1GsB0EHgKNo7CIUFa7nKsonVXDo2sABl/9oTBXx+FOy8badNm8AfQEVRtIoQToEJxNmDcoZZCRymaDzmbeTuPNikX66HG7GLuyTjlQaqsS6KxmK+KMsWKdp+6U7GjX59zPbKtqDramrHGxzlt7iglkuJzSG7SnqZ6eYoPtNulOjh+wq+inNM8EZhLYOSpNc7Cxn2hfvbNhgcuPBIuvNEtxSzmbdc69pM7wpT5FxCFiAkEfRtVK2y5poeB5K+0lwFqgIk9xa6oAjnLiL4thg0fXgIVt3Vjv0T8NQ6AW5ANSNo96j7cx8U9lbqR5VJdDPykoFBMe1wzxyWjQ+lHXdatoE9YUVdoBtEmdufAUG7SbO4xsd4uGj2mD1nOYmgAoabKSut+PveEQbtJ0BwQOB4RdISRG92HzaQ0gPPIH7Gip8J2QmocNVUrbjNn4cqwo9Sbs5mxgYsBSNseVjHdsQGGe5zX0Nkd2VhBZbLwii8thKMSdrTmYU/wnnHWTk/p4wIUFBiW0hdgprpMIgeRBnpjJCK2NPkf3AFFgJflnwBa3qLTOuajU1iTwRBJX4wK4m7iXkNYnttuaN+AWmA0YrcTliRDIZuwkltO0oU9JkdJeg74KPsIjqjMAhWfkRxGAg1L6O3liovZBa38wFxpN96RQNIX11Tet9fAtNgazXd4vUazbQBqqpAds64T1D3bbw4uQyQa72owJZhPTv2FpKW7GtMsJxYMAuZodDDLRgsaLcgjQsaZEJpfadIXlRRm5m08MS5S7Vc7pSu+Zrkwa07pIkfv8rKrkHDCdphR9SnbQ9TbMyjZmbKrCiArOZt4Oq0MkLHdcKudoHXQ1nWBZ6FdfgD6otdki8iOEOFPegq4qk8stUDRiA6dBmAlYl00ZEYYtorv5oWz0myAWzdSwiNBuLePO5gs6LxNrgtlEBCF6CkwPqctSmqD3++ymmq5jhZ7sMAyZ3HablCYYGryjh6CsBoMuWlgnte+S7rD6oGhKsdo4ES7cuFpxZ48umy9ozeOPboEtc2tEiJuzrocAnM8EbqRgarlaLTNSiAMcbBkpZLwF3fvkcnWeQIJYwvKC7Xqd1AR1tVjZXtxJXhBXLK/7nPvsA2m78wUCQuMhgEyOc4crQ/mk8wVeJ0H1400mEeSNbTdG1AjrbU5K4NY2kg5vgQXFW7XQOGDypjtAXCTqIXfeBHoLhNuC3iFb/WGNM/CoKbPD06SjT+mYYICUrqCzjuboHdjmHqs65Idh+fGuzTlVa0+Tzz7lFgDAyekOe7/AqbKxAkfVrlEcDWQp66SkV1XpXHoGCkuGCjOOJR4wZk4btJYCj9xBK2tbcMIKu0Uc+GpVrFWZLzuqVUq21U9cRBE4bKa2S6qm1nqmeNlb248V45aZdyuTrc12C+CcqLwEEZBRbwBBctgtKKXJyYHXeK4brgHewF4CALyw5KCs2qyDRbeooTYYZqstFWNUrVRW25xjtd6SllFUYJlX34I0DuLeQtPYw8vnD2pRgQyJLupWWohxIMRSdgcak6kqRgfB4y1Amm8VI/VC2DyhbFZJiaKtKh69BQpnnal0ArcI8wdt0hZa5/UjuAdsdet0kdgYt7kFuienwuC25g7YWtp8Q6VQtpEF07oxJoFsLrG10Oeegg2WZIEt7ik0u5zpQWfPfWQDNvjUBrEAvPXKEI357kEtVUZ2VznDV8DPwuYq0jtI+hZq/qAf0sQOM8Slicg15MTdeAUBwgLr/RoWoMOLYwEr7eHGTqYUqXFEFxoahffGVBTCRitIK+WEoA3jX+8TrVzoQ7WV1tuUPrHzOgp6DwyPSqpsNM8RI7bS9TnhR9178oNhVYPSOa5caBt7eOlioyeKtXtgW0siphB3D3ZJY6MnQNKy8Z2gRtxWcwF1kLKd6Pd1qBWAoTFfoWwGdxEGOoAGK6euyrB9fhgW1Aayzos/pGqcvw16T44ovkBn7pIbBM4W0t6DzqspqA1k1rgRPWpbrwgJjVnfQuflFOwe0FnX6UIc9iLtPYCia1w6qz8AkShYPBZ65+8PWk/0QBuNtSVKJoCpQoO0gLfwnq6yvgXhz45LlbP6g+Ix2rwFhDUUf0G5sIC3UMzvj/ID8GhGABRKC5f3HtTeAgRAEIJRK7DDNn9/0HraF8sPKJnwB5Ew7bSxERmoSluZvW7uAUkinLFxZWPat+BxeZYfFFHj5B4EsoWmtYEJn4xaabbfz9Q5lAwrrQ08RNVio41YSJfnXy9ARVKJjbfoAw0Ns88TAY5W8wODKkOSaGilWdeNxe76KEcCm0jNBD4zlDA0qz9oPEmisIXuR64LyJVddoAFGDIh1a1ZYtw6Y9oMyY3d9Q5QN4sFGDXO3x+6QaPeAeF56GW3OxCPltUT1OIBSCxFp+IOA5FYWS1Qiwa2tQHFQSgIKasFXH5sscDGrFhg/vWywyNiAXDqCr5hnTUQi5f1DjSeMlhtINM1uqhUywvIDGspgUG0dcAYCFPPew1qAUH22HTWzk2Yf6FYKxNJCnZSHmCBQNRJ1lvgt5rxBVDl6oSVreY48qe8ufHGLfUKMlkAmZIWheKz016D2nARK1jTiCHz/BODas+IWwBEXQWaF+AOqy0jxuxEBHJDIX2Zf8vI1BFHLSNsQGYgxOGBlC+JHWLFBHBGt+IPF4K2qBVKqjRkhICBC/5pQ0KtUmJ7TfsFzJcDmcOzmsAvbmlyxLaKhAQIAecPufELO4REpop0DJgus6wy/yLB7yhIYqR4XG0bBe7rpH0IlQxZcFdkyKzySq00+8TAbyjwEDCBQk3Y1lnASNEvKKgJWFgSSDYZ8gLcYaVngjukXJaOASCLuL21tL6g0kUXHjSjgqNtNP/uoV30wxpBOia3jNkkiAswgd/UURsAtRF/SONo/pArz/eCCQyBqcj8QAasrM6gegsAGxESKJWFNXv2iYGROzlnIP4QzBn4y/njsf3GmnRPtVQEahQpqJK2Z+JFuvEFjBIUlS/ucAEPwU1TMIFgUOUW0DBYQM/Ei/KaCeghy7JaJB9g2ojg0kM1gZAegb8NpURMa4Jaegi5BZubW0EdLqBh4IVYuQU2VmSSAKdBnOxg1lvgdxI4v8jRqi8QZofZp0ZeZUyDIqwO9E/JC0zHfdYQZK8po7dAdCRoHja4g/mbwDUPRX9UoZd0CxaRF1hz8G6NIG0jzQ4xQZyCQNoE2ZNiyh7/sMYuq3rz75l4NgNR5R4Ys+mfLsEXuOxQRuvK80OZRLE4/2LZq1JjAsmR1RcwSFhAauRGy4zT8AXaOwzVl0rrDm0j9TAiCJ2FSmxRI5AazT8v8ErE3ALk9hRpQ7EcJ72Z9xa4rRRMoLMU4fRgL+fxBcV2ddD5//Plm8ur12dfn788+8PPFy/e3lz+dHF77+Xu/ywq6SgBjt+CEMcPEyXhTb9X72xPd7gz4edBmn1PCqm//afXv/sNv/RPtB9dPL84v7l5dXH21fnrt9+dv7h5e335+vt3Gfu3z5/Jz6N/5y+fHW+DzhPkqg2EGLUTkIEV1CGlUjsND+LxRuh9aMQIrKfgFLkFFEtxRljZ03poArzjjdBtXfcII9BPZ57ATZB+ethN6HeTMKMeb4TeJqiH4dGMQJ6IEeAziOPIzWsEnyOoTxDgkd6EQCM0G711+Z4DrK3V4CDk6TCHQ2cQBzop0xCDnvAcLHCNngOOkVRJo0PcjHFn7JL5LkK3rbsE2+WnbgrkwRv45vIZoe9dL81SJSX7Ea32uLKhTCNIevxr6HaudrJcSVVZ+/uCs/f5YmltM8gSRktO9OcMCeOu5hc3OmSimUauFJcmrI1WJ99zaP2AgZsAQBsj0E5j3hrWTtqZvfPZoDOt0FFskCGDJM2yuhUXIHvjEslnhN6E9pwRChcBHFaJDA6tbQjlM0K3qwUHGgqaNKNcHwfJW2ctHFqvzIlHgAGMYZNAsQKbSv02qUdoPBxLbSCPQYunuLXmibRJT8kR6g5hyJhZYwsrINe7tNHRAbL0HggIg7cAz0FYZOinkZU45R7UeovKDGn+IA6wv15PIrVzig1qlRMzeMUgwAgYyJqMykrO4Nhb8HMdJQkM9BFAKsfh1XfWs7CyYVROf9w2c28wVG8Fho8QgQkDTlhzcWvpSL48qal1EmTwpD5B9DnjJrBDLE5ohFr9KMtcJItGnRxnhGIFez4jtLXJ08AnDy0gRXRY/bidRsn++OjQ24e+6xLkNahjRL/bZMpCJk8rq8fzXYSmVjrJa6CvRo7ApnfcgmtnwNCMRqjki8AyZN0dttTQ5mKTtnjygE0YAoHqYQSuAREyrq82ULfnuwltbfJkW//CjRZ6E1rjkchnhMaksUaOUTccJUIKRVqYYyxZx2+tnzwBYecmkDAykuc5hI3k22J1SL6b0Na6iwLTITrQXxUGhLCb0E8jWnt8ntCsXRVpN0G7CTyHOHKoZmuLAVZAGRJufys+bgXVbCp1pOw6KlAHhcI48sxmZdVYvgfRrB0Ngt4FmcBhhEgeWUTd9b+VzwittToO44MZQctIGEHi2qzI96Y1grsJpEs8B4IkUOZYlYFdUiM0m0pXZaDEYPASugXf5Q2SrtOqz0HIAzFCJHFe09o+TT6f0HgqUX0O0molU4BpPq6rsrEFwoxGqDlGVDfwCcKQE7gF3ffTaLsfny61azeMFb2FYfhCdIi7CSzAJm2rtL6EwghEB8WydsKYFJU498X6WPmeQ1dNnNsB1QzlfFyesN7Z75XPCM2mljFSQimMk5sQ12ntmqzQ7nZdC5E4RsW303M3edOIVmu/tf9WvpvQ+QLKHCNGEIR/4Ahqs8s6eChe0Bgj4BPUMRZwW2FN9/XGKDrz3YRmU3sOJEv0lngLkCeFYTRYr0kaHQbg/aiKbAfQlvTdwxps6+YAwjqaQXzcpkpb9QnchHeIpbib0FuDJt9zaH0ViU+AKsKMgGMM8wm7jXU0MxrBTSMxgu0CMo1kDy4OoLDa2apVRivUigeROte8WdbEoxKFUtpd0gfRVR8EIj3WcWYKFfYgtpusuKV2UyumWXZQqXPZFQ/LGUvT2NpdxgdRKx9orWhzqcjGfNSD2LZGxpLPCJ3lMKNUwRT8tK9ie70R5UNZlXXa7lJtDmVMi2SNdJzDcoXCQmDWOLl1YyhNFqSehl0tcuFh19qMN9+DaA1EMnoQBAh7EAjZhbWXdqtd0vfQ2tKq8wpWSoLujSsgyqrP2nMunm1P30OrKDYAXHFY97LaGIA034Noql5hrUuBwLxpNYY9iNL0fdLsufgdIO6CceuQOkc2XAtY4qRW6KvjaXYjVeuVbCEOyNaXg73AJyMQz8ftLPSekVcoOHVzHivAsBO2A9PuDpZgnozaTR/XCu22lj6zAaJ+ARKFQP7BthyM6Z+kwu70JvI9CpWq5yQqhxQSYVVEOWw953oSnZ9R65OQIIEV4N0KexKHgTKXEXpPUKxGEDSbltUG1w+ppZphFmxwtlTusfW0U+YetbvAMCZuC2R9iHt/MkqmP6577I3zxPkFWZwG5kuvKc4vrA5Xp3NdhuK3YbgMJn0JaIP+QpxjMGW9fBn0kNT6EAF2hdYCdUTYVdg0FpUTuoXiidjULYjemxCUBqK+y518IdVUapgU+btgAunUEWGw7353iHhOFSI6L4hrdwErQGIfSjST9y501TY8+YKpoYYyzaysmZ3POXZVEI8wliqZPRCWsFl1KVn3JYfNtbteQfYlNWUiWYjbiGErMWlzoak2HXdDo2kFaiFsKtU0hqTM+BwcU6fmS5I8U1UznwwzQtlmvQmt35xlIgXsW5WyZVswLGnsirU3892ExuiQRj6BVRBkQQmQq8ClIHptSZvPXQ3OJevDppkOnCvsOfSbrGDfxtrB7iYI5w71A7DvsOlkt8o6jAEtXzECIVL7bD3cEmHAjTYtcW3rqVY0OhjrDpR0cZCFAuQ5p2PsNpVh/bBIbnrJYUAm2ppJ18Naz7AhqD7tq1jbOcwxNr0xAScMkTYccWmzDWJYFIy7Ce06K3alNcc3MgI4V2s0ClNlVNd5vTEIeb6b0NoQ+tAI4DtZJNf5A7A+G+VHtN63aaUOWovd7ibIjhw+AfnosFK632VttnY1uMLAq8AQJhLmum6z9hM6D2LS5yD9NVmfDowOG3DfOX1C5/sJ5hO0vYaIdhxwZbvJyr/UGlOzc4zSTwDLxjAuLG3erYzmKF906Kp5ghEK4BjpJ4SFyM1Qp+QzQmtiiC46WCkt2MawjHGztoo0nxE8+h+XYNthKhVYwtKEXbGCNZ8NBnKskUtgO0yDA/RLgUXkqsvK7t74+bxIRg4hUjLGMMcIdtB2a/LdhcbwlqO7wA6E4XaYy4Z1WkuzapNaYbikIysYpQDjSO5CmBV2g6pAvqvQbV31ICtyt033yDqyMI1M6hwbq5Hcg5D9MJJGloLi3EKzTbs2arxr3gobEVOF2Pp+qJ1DNZyhua3vYX2wJZVBDscjXPVFyAQGt0DCEOYWyirvVpBV+j5EaLoAtDMuZypNm3al3oj4XdJk2TMsrkbPHtFgKqXJyrPRWqHk7oJsUnMXQLgGWmFto+58kXLI5txdsHkcRBtxsvO7XdYVMcvrRzbY6A4EjcbI+UPZrrNOZlujTxhZgb1R7b2TPlvGG+IV1mnpRlpbaHVWsFmU7NTHxcn1QPCSzys065pv5C5ok4mEIa6/UtbrrPw7HvtPysSanCWOkLjGPYhN2sVRr7aMEaBX0MYz7yGu3Vg2A616vvfgBVG0vyI9V95C6NpoPzRz8hnBq4rqc6DfKMT/bD+E9VzLZpNVK6o1uJ6LD1JTa9c1kH9n02Sl/t/VgiSYDYKkaC1HEm10u6zhoTH939FVMD4qdY33aywc9txLt84qNmw5vc+XtH6AYiIO1FhInZM2XVsbM7irYLvkjCHiIBsIyKXVFrUKwd0FW5yV3bDAhKnLytXnAa4WJhXbSdYYuAOyHVxQwlzBdZ7Jm4E601thMAn1f1wVtV2nZXc2ZY7D92BW6HRLkFFMXIcprxWGOOasIF4ByAZKs8u4C7U4eUut0LAQFLdPn/ku1CKELsgVMEzM5eImUpmtUOu0sRdlLEQg35dwF4a1tVG2gBVUKIjpZCCHZ+a7UI8RlFK8CGGeWYZ3dMQzJE34BZvLwUIUlzlmvgsuRpAvgOi6JRtZxF2APq6SNaGEYIxUkYsQTGOy5o4M0Su1FPnCVprPIj+8iNzR5vEuRqxsH4Q6Iq7nmPcutJ6LSb2jdBeEwzOS0TWvFYASVKspGKnoP8uqXNhGSGa/YPtro2qKGGEUbUJWFzalzXwXapESqCdW0AZ0nG5S6rvgsibNFwTHwyAiVFsw812o5QtgPcmgKashJ1uCX3BxkpvAlBY9as0WFmED14PHBgqCFxtQQ8Rx++Z9DbXoIJtiw65coCR3XhvU8gSwK9gAlj7QjWEME4ljQ62rIHKjA/J7EZ3nWnQ0NQgGMatI5Eret1CLjeRJOoehxxYIYcprA1dJa1yw2Sw430VU0rV5HJqCt8R0VlWEYDvz3gN2VCq1E3IYuhrFa1hEBVmzAdFxJ9kyyllxO9SJo2O1lQBlpwK+YeIKhDrnfQ7gLSvPAaQCwziiI4PZJTiFaj9FymjpJEC7YzP8mXtGvyInMGd6jBoiwbcuotlcyxdh92YGRZJAyriIm1BLGKHxbcUnyK8lNFMMkTLqsdJNMaJGpg6LmEbWUkaWoozQWahLF+AY/b6oyCQJRkHwKsDelzCd94uSJAlwD1FAKVxlESMHQ6OMfAIIBe21UzuUJXSV/IogNwGiRjJGROSkfliCT6j01sQIOpkXmpEl5AlNpYzECAZthWVkGY6xkjEKtTcTaSNvXQSOr5IxCkeh8c3QV1lCxui3wugmECJNUZGkcRFGMMqTwxipVmBNUjwju9NhjGSJe0uN3wVSK0gduZPEeRHNJXv1o6tgID7dmO2WkC5V3wNYHYLkSjoKgTwreduM73sOStoJc+kiuozGtHW3eiBISjEtHIWRvEOJb4JLnKXlfktYSXhYQpfRdjtGjlHWwobosIjekqkfOSPIEj0rYUTJJZRQhuYfGQFFdraAmEDhGBcRImt5guRL2nRHhHsJXUbbDnc3QToK5AlUUUuoIw2SNDKC0KxIq1VUlxdhBNdl5C0YsQZdRji4luAYbSfn7k0gWRIAnxbTiwiR1kUcGYEqUtm9MUKgIn3ejNE0KQ6NwDyWtor2lmQJagltFSuVR0aglFbyKVqty/AJLmMU3W2JDgPt0hKwKl51GiMQIMwniPD0AsYv1kq9+xxkGqlNxgak/xJ8Qu8yRm6CjKa1diBZWkKeYO2z0U1ARVFZyBjOm97dzKFbJgs3MoKOX4Q/gK2XRTwHlzFadNACKpaPbqpkCfXS/bTk+c3565fn1y/Pvjz/8ebqx9svLl/9ZyGb7z2jN+Bu2/vBH2CDuMjQTsPifOT5nSvQ80tDib4i9WNc8XhIGQBli3yLPf/Wp9e/+w2/9KMcfL6L85ubVxdnX52/fvvd+Yubt9eXr79/55u+ff5Mfh79O3/57CgLdJ6nFQuAziBVFsn1SCGc3vbRH5p17Kjz956MUW+AkDFy/kgh1bKyaW+y8zsXaOcnQRYgQigqxYZ7yc7v6mXzgMogw/kD42Bj+NBk53elsr5/qQ1Y/xXYalgyVKaRejnq/XeeotnOr1vg1EaBTCEZz9+vXZfAIqBugAs+MQ6p2poEYar733iyds5vauKWB8dBE9frfP6v81pPnB+kssZ/4YiJw950B9JGWfKfxk/Y7ftb/C+Re20Tab8d5/+qFQDfX/0/KleBgJuSMv9xDUK9/7LtLfz8kds7/TQ6kEd9/8Zzzer9t/dP/A/E3rWbSRRRjzp/t6vFP+of/H8j0HTrmIU0gzqjv08V//q1QxNo/iM7S5S/oaj0lS2OJju/awvb+ZmS8Pgh/ojrADTWeMx1/o3rCKv/kz4gLEg8gbD8Z2eLkMmOX2sA2Ua3pn+ruF5wa0iFVOfvPOu8hT9tgIkWRVz5t9ntVRjQSEvSAGus23/YCNcAKHsIssAcmQC1hl9LdQOaXeUFyEYODSAjDA27AWsby+c6vsdQifKzYq2B19IEDjt+nzD8dV6wzY6vZNodmgth/m9rkSbZ169ffnP/uL84ZpedJdq5ju/1mCz5168fKz9TplG1PSr5b7wIEbefxSMltZHFo7BxeG/z1lyf33q7d0Of7CFyfFbUAQ6GAes3lkelOn5XG/0IIkSB1H0kGew64fGbdaXzL8en8w1gFNcflvn3hstP9vUrgy95+9b4ECKjqMIf1dqEx6/MvQQsq30/XF/c3Cdl28vUxQ9dn7BcKi5Q255xGKBmZewHyW6/e/x6fhHqZeYpvOhRt7/srIWc6vyNb3vZ+bXtJZj5uLbP1kZsev4yagF8PNyHn/upAaTsY+7D6C/MAE3Z5Kv7Ou8ASP1s0ZjzM/cJi36NvaVc99+y8VHqh/sn96HrQfoTFv3aTcboV+l68/Vlh47ox+AvrOrfWQ2R7OvXg7/kPrh+4VyI8v7rhJiP4nna8H22KITzZ3UuzPeVreHrUn3+YpimUfLD+S34sTwZ9vjLJuHMq3h2Nv3+kBANbY+w6w9Xar7nXzwxG+dH+cJKH2J/WOxDezlf7C+ek03PL20vCp8eOZwo91c29tZyvX9PxyZyF4P/g8Y4cObZl4zf34U/u/9KW0vuG+j/e8ujk33/WvHXKuYB54/+T5z/66yLlOv8hsMZxT8639Q+JL+h+3A5/Z8beWr8GzC/dP7iMJ87KyRyfX+Lb6Pvj//X+AfmIy79Le3B0DsL5nHA4bnmV6v5L/EvTk25WVksyfX9Pb8W9x+2BPJfVXwycEIE5qtZJdx5KZ5ai/Pr2pvk/2A+w+qfpjQJ81+v56Hf33pfQB4CmfZ2NmBPdv9d80fzvwHzxg5sXP67HXc8E+y8QQJZjf9W/7IKHnj+ndHUJfv+bvSl99+GH2iBxnW/mmJvKdn5a/kfOy90/1h4lNlvmP8vCdt/xUPe1P/bzqcwiAX6/4znt5zM5f8Ge6H+DaQj3ySE/DGRq5yf/EcxzyJfE9b9blLef4/5U/8n+S+QL2B/cfXPNuH0o3jKNM5vXJLKBxPY/92ZL83l/z3uSf2f7Dxx+SPzn6T3vxb/jQWG708LJCz+lZTf3+/88P3ZeVNlR+n/xs0/igFo9f4/GaVCH234XzxJnBpAHKBsfAUWQFtbIEj2/mv9T5YeVKcJ7FPgzv86Yf+zr+Z/3H/6v/S/2XkOi3+7A+jHkyzYl97TCOv1F/CDxr+4+UdDA2z//ketsI/2/nuTsh4lwCpPJQ+AAiAM+FuKkc+ZA8xzA2oTcFt7wgGSBARWQAceMI8BPP7HQiAlICEwtAXSHqw95zGAZ9G2EIgPUOnKEpcDrA4wAE9G6fBH8wHFb/5hAGEDHIJAHAKMeUPCIbgnxdQLIJpkMgEM1B9q2oTER2X3HhdIEwCRxkh582aVMQnyxCfmAZX4iSIgkPigsYFasiLAc4HaA1BqXAEChGWBTZNwCjasY7okSFAQGgLjuqBle9AFz1MFeh5UjQCDXG0oS3abEQboKVDpga6GKhjqn8AUoLWWU64y2Fpzdx+ALYCZ4FhcElzWGduAVua581sVJJOguDZYxvPbUt7o+OiRUgLo549bfi1twinge76+LL/SAQEEHrcBlfHrN3Y+f/u1AlT9mKghaMrXX22BwPumtx/nH8h7ljH4Ga2Pe/zQXkjyQ/4X1wHqjVk/Vezr3f6Phn4rfqG9iOR9tm5rquM3q8r5JfWz7gfU32H9L3x/PgSoJz3Uz2/H5/bHDcBLl5H2xDJb5/sl9Gvzy5pjEQDIsrFFy1zX31qyo/OzAHXb/44j/SmbhKRHnvhCwB/a/N0o51HY529WCXd/AaVVP//Q+w3VX9/ZU0p2/V3hI5IPiv9h+SOy8Gtaa6OlOr9ffdfjS+NLvV8g98EmYd1rLNSHzs++vk6/hfE+LPFP+fUZyVZfv2z+c/Vpe8WV/V1C3h9P+KnO3x4/ff84wk/2DPKB3zeO8Y3bb7w3G2U9Cpv7NduEj9/PfTm+rf4CfYDuP+747Trf6odRMI58nyHfcf2RirnNJuHlb2yzaXR+Mj9FvpP5xRU+TZ/x87uelz5+mflR9EV2fJsuodiD5eKjr3+79yxN37DI1zQJeT+Mft4dn7UnUXuj5RfW80LpJ6Hvcy0/kTm6HXiDeQpT/GuKVZipsv6Na3lp5JNpD36ffndc5Ev59WtZv+28E/lwfWHjDiYL+Wq+rUv69fJL2qcNzziwQ9kmpDzZ1rJeY3xg2gHZZVi/N6Xr27p+n319hXuidxrY79tZBp3K9Znu1ijw4fkN707iF7fvtTVTpjp+8cMuPj8aH4r3loZPXOTr1vn2nTzdiR2fx78Ria/Ahk/K49eyXnoeuu3G4zeGgohhR7NOePv9sjtfn2Vf/fqQ3cSRHUD2kG/WAwNZxfmx7GfOr0Que2wTkr14fUN9/Ey6Rd8amG+c7z8UeMnCdePlPTk+VB90O/F9ovAW9vh7o01IFfp2tcuPuhlfH4b/0F5/b1E21fGLRWPX77NurzDdxd3+QUk61fm9to/5fp3z97j/uFEPHZ90n9/zPNjjV5474bmMa/h0BxD/LL4P3F019LHiYnuugXuObUJxo13t8RP57fjkfnEwh4yR32+56+M3jBu+P5DlLOXXr7U7CX2K8aLlEZj3Zkx8/HqXEHwoxkcK/kiMDyTH6Vx/sXbuYeTX8wvGZyft3sDHn/L8Xt+Ap896p6Ic0PUMxHilPL8BmEeZHwhXLXvRNQ4UeMl5/lrLE3w7wy7leA/k+Ex5fi/wovdfgj/dflxAXOGX8vx+vUP9n6h7SccvEOKLvktG/+9yX84PzscgzkLzF1b45zx/bdjN+9d5H/stgbl/zvO79E+/v8U/ttsCK/+c56+Nu1lv30rfT1COcbVvzvPX5t3G7wHQjaHnzP2/oc/u5j+y4aTFrzyBmX9/v+Jh8a9I55P7H6fsmzP++R0Hi3+24kLzI671l/L9Fwf10/M3OvIn/sVp3CT9/rX8B8gD3x+Ub6S4bdLzu/zHvj9jP5I/rkDczD/n/a/lP2A9yf/pfYm2+6zz31r3h9ZvP2Q/Mz+9i/3cfaH419PDbjDv3Me1/Tm9rDip598Fsnun9Hyu76OnF7RLL9zWxnsQgnbJ6PdqUV+EbfXbg3Ged9Zbi3kgnXTig9sPnHdm/Pa1iEfGY4weoUiXjKd39b76fOO0BuA883rfVfucHnQ71a5oeZPwztrreT4HPb4MO3TYFwnvTtjsrZU6hDyYnFbKZTPzj1/L9uBxVHwrKA/bQZ5txK82eji+DfqgsomDeGV0+8OfaTToBuegW23gHObu+moZH97P+lwAPOed8RlJqf/6ADyFyWD2ba5axgvKgYVeUh7Z7Zm376ulvNDYt7rRyq95N3kMwzO6/LfQfvocgdj2lK6/lvSy12MM7lz+eUc+z+MiEkay0Cuujw7/vCf8VszfvfzC3qv03R3sxfMe8Niyxejtg2/Q/r4Qmcw76zWJ9tHX1/EuLd5eyp5ZBz6b3vvjK7oBdGMchVfOHm8l6xP+Shr8RD2yvpm7vkrWh+uj4pWCP5K/L+fXr2R9MHgZh5OiW+b99l3WJ80O9fycXeh7w46/SshiY1/30PWJaM3Q72CjMY64Gu2yfMzNxibsjg9xtXCWh+KaUh7fZX16+eXtA2sG2RvX60x5fJf12fH17YNqMJ2ZkF5nyuPXsj5ALVR8gFoiFUtyvn2X9Umf95a7kU53XK9vtc5HXWmk7CPXZ7LNJtgRV++nPL5Le/j6tDv0+GKBuF5fyuPX0h5EywE0M+TA88cVvIeuL4tmsdes1a8vPBbEfXAtM//6tazPhnw0ulnmnffbN0a5kesTuTr9+qG8rRnjvsGWRscXLgNpdRL34+Q6moyuz1hp3dcf2OugMAp8+wlLHlvVvHt8YezWAT8F78zjvherF6Fm5THQ41tFGJPzJ8z6TD/k8Osz36Tdod0eWeQKLHkyHt/1+jg+7Q4lcKLVGfn2Mx7fJb2ywz+ItMoaa1i9jyBwvm6PF2nm+JL46dsXneaot5/z+C7rY8KlQi2MORqw/GFvP+XxvUKx6JNrt4eSh7QnLO7nPL7L+vj6K2VuFDxvIIVFzuO7rE/oK6TVKQwGbLE8usvfrw5Ixp9dvHr788XZl+c/3lz9eBviJcz/fPbTbz/pPW0lcGbbYuHuA+25l+fbU5SR8L8j7zmgLtar9+n1737DL/0D7ZOs5xfnNzevLs6+On/99rvzFzdvry9ff//ODX/7/Jn8PPp3/vLZMWf3cGbODqRRxSkJenGI1t00rHXHHH7jmpz64YW4BBx76LVPeHiX7OqXF4/PWJd4HzbYbu2BPTRd4xFfvvNcpXZ4Xdkk2Ylja8x3+N6Lc5i/I9ODpvO+BP0H/u5Aj3IvzfdR3Z3Xo7MXr8uqAmWKu/QHLJVPHrCze8St7/2ivp5euhtUd5FENWUaKc5jDr9x5Z0dnhSPxl7o3lI6f9fbxOKws8HhKe6A7vPlWdYMq21bmwsncva9l6PRw4sUlbZ04yBcE0GXj7j2je3kjL482T3Onm4uwS7syxdDCib68o21bPzhGeQhRlAC19WKYYESHb7fuI6GXnsBbzHEgpknrqibRnf9iGvfexEiq2tweBBycPiwa7+dRnb5iMN3HrjF4SFkxOHx5iMJ+co0RPxHHL73bJT65YWNBm8fiVdeG/FjojffeNyKvvlWMzxo2OOo+Fpbh0t0+N7L7VqSoytafPk4ud3WfGumw3vZMbv2zK4IdUzuwyqbTb5Q50XHLNTRyKF/icOLW9GwDfdEX761z+GTHIXpivBGGFqpmMhFosM39mXvHl7WM95VdXFf3tDgqQ7vcGpwsHB4S29lOSlqZLdv3zyg4sYRUb6xKtNdeoHogctnYBOX3Ob77h6ipd9dgPkAkwHn3mtgMfD560W3zcdEd75r3aROzy7NSxgIwCnEfXhT9Uh0+Majs0RZU9o4ojHFMmYcKtsEbVIdvlLMy4Red7DJbe+3h7n3a4elvC0+qxU+Zt+68cAs/fCGS0NiI451qFgWnerDVyZVHF7KWRB5NO3DYny+chZx+3GgE469oZHBxCJSXCNdOWtP+jDK6+FNVYxGRlwXp7cmcKprX8vuTFZHxBTpXEdld7tJ5ASPSe+sNzlK6wGkaJQPXTtujb0904f3WCycPatnyikr6ydhH97eV6qzu/ROX7xpSQDJiGMbKDYWSnX4yqxGPrzWc8KvFhfoTJMg1eFr6V2jrUvlmInDo5QDXEKSctYkYpy/E+Q5vp6KLqySL1ZDpPryDoZlKY62LuX8Yf5uIuXUYyKddedGKQ4bJzqcFoIZvRkRKxedxZVEX77Y6Gx0+FaFI2XbIjTSZbv2xcOwuPbkODqoYj4bR6jXbbM1rYtH43D4VpJbo9WJI5LtDASQ6tq7zN6+vIY6mvZ92KymM+xyqsO71F4PL+zZhjUP2zTorBeY6fAeliBaETqokjgXOKvpTXUn1eFrub3pBJHeRjKKtBY1Ex2+83vF+uWlsBGFmHsOLPaRvTUldmtZ7j3fx+xedr5trc5eGnioY/HkwyaUrc34E3344mfTenjhzdU2jg1zIhK8Pp+zt8TDJ3j0cTj5JlAaLuGX96Mqvjw4e03wZGYRltqv19lynM6vk3J4RDLU34kmfFhRt7ESKtGb73z7Ug8vm9SqDBQ3sejSwa3Ltta0RxpHoZfIIccleP0uXUW7raX2tkvIVlXkGvF6l+3NF79VZdeeN08jg3FN2Gy+tz5wpjff10Id194AeJHaIL35zkSHL/YQR3Ge5RoVBxCuxHsVdftXvrawokcnlqQYzg+ouNHhkQTSihb91/sBEw7hOF0+h2deyH15irrC5nwkBm2dDmve+ba9lfMa6kQB8F7X/vDLrw92x3PMLMqu1rwVJTTVRODah6HQtlZDZXJ41ZKWRVLdoWVUF7dAnPHa15IclmtU+hF2zDjB53xfvq++ebYJ7drLZlVUPd+t99f+ySjkfyS+iMYGkSN3LyxZOp/nV9yI2na1Ez36dlcbVPLpFZwgjz6sj9Ud5DZJPn3vofbCCqnDOiWIiptUbg8wOVlOX53TqgSOEKVEgnKagzwnyemLIcRGz57VKlpZ8uYDV6u26YqbtprocPHV47NrEAc531gz2MqbHB6/3zhQkj57WSxT2HVcptMfNPKyUGa0tVSHhUqcnmoeGn9SRPe+2AbfUNreDX0fKdq3u9rphRZQNb5B44V1sFtDQySK9qXawRYBEIEoIHkXp/2SMcutTemNM0MGF4GAtM6yqkw+rzHEmQt3Utdz76nrw0rbtbnPTKcvhg11Ob5s0PPtI2lw+wMavCRdDfu0dw/PfpnAUPXTxzn81hLqRC6vscVBd3iZVbNpAwY3rLZtDzKdHF++MciZO7zsl9HMYnoRePh004v31PWCzRHa70CaoC4dNVhb62HLWqVVN0T6MDxeb9C+VG++0saV1UK2TXD1sJ+G9bD7dCSYAyOrC3Uyt2KblulNWEenPejoZHF4laJ+WKgVZcPANfKMX76S4MoOvWr8QJMU18Zt8q2bWH/NhTrz9lz7uNFNZw3hTA7PuPdHh2epVNs5QhAVVtQmvPaeAhSIAusm2s2RRfIwiEY+4tvGs2AKMmdYLpQkJyzDa6bRtjli0aiz4cTo2ttKrTJ9xxFBdvlWas0LuTdvbTzZoo/L8NIlOZ21GA4Pr9feZG0gfw2c2Rn8LZO3N0Znf3ht5QhEI66Bmw6i0Zhug3vzglLg2rNJH3btu3SdnOFP5A+vb15QCmEUoPmaGQOrgbv2g3A5sKywL9+a70z05jcuu8XfkeNoI4dIF9fCK+lw943lMKMPb2BEmILYrYzLcQ7IkXJUtMO24+jwtmFG55o0Jwyd0uZjhTPYgPvysltoOU7Y0GKYjyR68o0589HhVbXUstu4w7cmhZXq8A6XpA5PwryumMUp1qJele7wrn8pmn2KSMPhgT4Pe/NNOl2HzkiYR9ee5UJDpMEWFNbLaNN1rttqOc9aKRwC7JdFqpS36dZNGrvW7ssPFa0kuFHAlHzZbWMDGXd4ad5KXk+ojzr8wLyYytu7og6Hx7W3Rg6QpLg3n+7ae00Lzs4WvfVuCfNhw6p8t754CKoeXgQ9ODz+PqyV0aTDXhdb7B89efjtFX3MrY/bLcxHDLet5XecnSgP9FaWaqPcXb6zF8s7Rh/etugVmRCHP83Xwyo2RnCHN/CtYO7Daro+nZ5HZ/0Fd3jTJiXFM3qTCOxtwi/vRWm58yyY2bWP1OrL9+U9g4CoU8qoCkI8WSsNu/VdOrbrsq418CDO0CcPJCcuxck3ni628ebaOAPcHo77sNx2k6576Xfo9dbTthZyf/L6sCjfbrPRYw2NdPfhB/AlIjZhT36Q+05U0ZV1Lb+DPUFnlCxVxhEIbNK1sIoJTfj8TtvWbSQBam+LXIm+fGf+zF9769kjSRz35hN+eYdIMYdH55a2bSRFVL4w70Fo5DeA0IjyDCgZ04XNZ0s6WMLAa3F46/XwEuVBnZLYz/nwhgYdPXl26rRlD/ww7ss3BvZL5O+KXzDhyaNGzE6dUn3HCXokPLxXJtXDNzh7/B03P6x5mfDwdjj35pFf58uzQR6HwMt3+GHT6+6bF9EyJUAVvHUcKCPfm1/Xeli8eToZkAEKdURUGyfflx/UtEbe3gR5mVYwnQ8LdQkPv3LZLXH+Fmweq0OdL8mpotDw9jqm60WHe8bX3kOO9ctbkgP2Mq6cz5je1iYW7M5vpX0p+9Nz9vbGQe3jPHyA7A/Dijfna28TidHhcXhGEiTRLurNJ7z2frVI3/ywVEYLc9aHr4U6Y4JkwUKe/Zy/vGvk2JcnwyPJoZEV9uYzXntXz3N4heAJCk20HWb85T05lBCA6lIZJZ2I2cz38G46zdEZ0PZDlJ/zd6+FOSM5l8ceOK/I995r6Q2jGo6uzP5xsMt8R691cAxorfsFcU2MfEevBTgWp7WWw83HLQ7nO3otvJHY6KCCrx6Hxch3dFfHaXAbiAI4elgdl+/ormfH0cHZ0qrmq4NFCINe5Tu65SyjIo4NOnoXOpqLw6DkO3utilEgAk4OuaY4VcZ8R/ecKFx56B51jwgcQhy5c8Kz17Iazq4AYxGeDmvRJzz7ppbNAkNgJklkj4SZJjx8Lafj3lvDKlJ6OeHZa87O8Hb0aCOxNwnPvql9eEMh0K8CVT/rrkUlwMPn3cqDl19zPnstp72FlUNqPOd03rOhCKb8diInTI/zbVb5XQrNbpAvEGdHcz5sDp3P2XlKDAEZKn8/2U2kGmPCs9cyOwNfaPkeJ72b8OyVxE5QNyR2oks27zZlJb7L2XUGLSSHM55HeVA1730l3PUCrCWxm7Ovq3QqhcqY8TsXnvF72AJNwvdeaVXCbTlwXgml7Yzju8vrpHUxgOwaVkjmfHbXrBSVjqF7gSJbHBtEvjvfumalnl3YuynihOFwvnfe66vrnZf3bqKzM25SW0fusEltZ1dQLYP3OHRhwjtfy+uM7gq4SaRER8Kzu7xO2rS33IZ0qef83l3DjrPL5pB8d0Clc+5dePFFPbuA61gcieS6Snjna7lNr+tijCbw82FsTwnP7vJ5u/M0qYnvkQrTCc9ey+tsIsfwHaXdGffrjMtpFN+Vz1K+O5PYGddxBiQanV1IHaVXSXyPIzXMd+e9rjgXHqSRgg8g/Ilj/0h4dpfXMZShltEJPDXsnOO79ePu3nnp2yiQlrNbnRfBdZTwu7u8TgTFB32CUL3Bw7MnUZi15sThh+fwNC9AWgneJvTBZ1sHN16T0dnV0RtRextXwKdj/nA5rcjq3r530ZcNe+/pju7SOuZRPHcdywh5671alXsmemv/jJVVNbf4SHrKpjUyuu8yh9VChsQmbiiT7aN7TVk+OnJrijehjrmf0N7BR98f/MDBf9SP7jp1wnchXUohPmgi0Sb6X3pouo/1yrRCNRf58vLm4uzZxZu/31z9eHu35X7/LP9j7/07EGIhKx44Ww1yGZLUHDI47nXU9Q8a+dg//PCdJzHUw4O4EEZ+3vu93NzAoaMfu3S2a57py7vwJiTNuhEIeDxy+b2sppEkOObL1w7PCJprz5eXFnXctU/35U0R5zDG6bUXsI1MnyOBB70ZMtG19wHeDs+11y8fOImcSI/hw69975XT7c0T4tXhBY7jGmt/WW43SnU+lrt3WS2nl41QRZGDO4nbfs/n7vv6oxcYOd0LplJxie2gUa+ffiQ89pG+vOdttUCvGtIQvUS2rQ5kRbVvsPd9H+vwrler115mM+BKCfRhsW5r/iWPt299n5qzg6nl7PRtmM3EtS92Royc5/DdzpU1enjp3fSxxFalNeaQTIev+TvKOkty8Hdx3drWhC/yHL6xrtwow5NqXuN8iVwSbKahZ//wJKfbuT69vXlLctgdiZtFb5pJ+rUffvjG1H3dlxcCS1oZfPm4a98Ya2Cea98ZebQ7vDTqcfWkOXGo4nW2UNft3JRCw7y07xAhWUWqKHe2rpHpy7sxBYeHyU+rOlkliJvFl4PC5gE1VT/8zXe72ptnLstQllY9chxxg4rWhpyZvnytqOPwOo2Hzy2O8qQp2ZKc3rz5yOEZ5IzPDrQ40NsbnDXPl+8NR+kPzzxeJlShJBDGAZvn8M22cu1lWKMOj5sfN5ycSJLhw/1dU6vmZXFKU3vZlYzzd6tsYb7ZVW69bE5xeGMujTu8yX7kufS9p6aH5YhLr+4OnTlTmI4YVm022R78rlLSyXenf0d6E0nd2Vv1mOe7N7W8HjiCbEbD3xjau5xGQvkIZ+fRhtx5UGecnY9OlAvr3qVz9G1tVmNb4cLxFPnd22xdjMYLTul3l0JexJMDN6NbE73I895bP6YSDkPdoGE0zZ0Pm8vvLGRkOnuleyVYFPw8XD+yFB8V44YuYZ6zDw2lw4zevjvxHZJekVaMOntZpXvw9ge6W87w4Q2MQhUfx8q+s+Ih04d3vSv98DKf4+yhNI7FysY8h2+tN+VuvfWuRG0qLKstXbYv33rBdMIct54wB8I2kpe8sfF+ng/fePkRPbtg7xhRhS6Gb9OFOdew1RcvckucPZLcbGuN8UzfvVbKsURDy5IQD0d1WAnfpStjNzVnBxW/zqfAnvVhIX5nnd883731KT13Hl+n770T7pew9KYYQ26ew3deYozDtwPcFLriwCh3CLxNMaFpNrX8Bk+Pt6OYkx5G2JdvDNKS58u3Xk1Tv7ysVAjWlCFN2OHbbC3LQdV2lNwJHkHyG/anApmq1zbny/Plm00tyBPoqOP57BDAhCExdpZEZzq7G8rqrTf8kbQtw3oYpdhMIM/hh0Hp6Nbj7DXSFcBncf6u2CXKc/ihlTg6PLf+Hfgq7NaXdBPpYq057++skg8tZku2SFc82xVvnmUqG8rSs41DoeyyoVBaz9Guh7drjzBBIBXIdpvM2w9wf3ftBYihzbvA7HadbTzXVms60PV4exghWKOLS/DSffliTCf+y8MCQwOLbemw+RwbNdmKOq8tx5s30SWt5kuYw2vabG2c4vm+ODwdPDI8ppNkt2GHL122sXQxLfjRtefLm8MDbRrWwyK7TTafLJa7u8PbuEK04sNy+6YxwoE86W2zqR3e6A0p6ujYx6W36bx9u3VDOnV40siB7Ax4fVyo21lClefLF094podvFX4FBMneaQT8qhn+W3kO31S//Fq36AAZ07+Ma95utskaOaVzEwsRkB2obGObt+kO31fns+wTEeeZ0cmzj7r2h2iUJykoMnojfRmFOlum4vBQo4S9+Y0lk7YwPnoAH2dztq9meOwW6JtnYTxwq6S34VCm0/vRvJBbKiAFsjvZJou692sztB1+FPU+zqfvqt2Mrbp7Dg8ZUti9782OdvgURAnFE97pl5fknoJesAlRX57/VDJURl9N7t8dHg3lwLLu4PA5Pn1freh59NrLkUZWXIJb1gcXP0W0g6WpEu1Mcg9oAv2MsFffHkS7FDPq3loMPtKDzKCoI7sPc/eFidXe5SX58vXTixCVMD0GQo5Lvgy3WtgJse/tp49r5hxyJeRIcYt1a/zFp6bH5UWmuGBPD0iRUlz8zquMaqyXjgbktpHsMGVj+sx5ivr+PVmeIPE02sX1r0l09m4+R3nTVec2PHs6eQI+jSTHaW1MkufTd1VIltB+Kos7wKSwHm6/zQbPMJDlXY8nO2Xq79mviRvY7UzUNM93b+xjjM7ODqkluEIBGFXbbLKN6xrrK44i3W7oYa7AJIUl9+ttsrHFgIR2Z5fCZiMMIXGFzdpcR5473/rdYZnUaftWJJUDeXE22RZMbGvKuTr2S4TiluZtWDW/tnCa57N3NfilrJDqZ2eryuhMIuY16c7eemYUrjxuXpuXPWisMARib5Rbeb67tVWcp7Ojw4tyPx73Q3B9t0rm6bracHrYGDdt3bBKNuGVr0R3oUXRYkb69WHPfZcOlGD7bS6rszEVa4Rx331n9IGJnrs7OohTW5rWz26z2wgvXwbKpURnd4WMnl2AOJwd8F3Yc99kQ2N0NUDCQBTAkCYSb7uzYVeiz17BXA6r8uSzrBeEfXaag8kK2M4XsHrnpWEn69KBbj7j4V2MM2enLSuQd4EonJLtxdf26OTBKw4F4F2crvDaUoVED74ynRHZQUttaNGHVXH5WLyrqY0xJOjZ4+BHZZWNDcczJPDcbYFQ1edsyzkkt1nZ9nWeO+8n8SLLNCgziVZH3NnbbJwojTGqH+bzojk4BDkGM3FJbVOyoS0bP4nn8MJ0OLz4LgyFUPp0ogXWOB59eSNJULHNuMP32aBHna21jc5um/Ka18ZxGZeET951avXWywodqR1bZIF1rA158vj61pjNRl+ew6Mhr0TOccCj0mc7fLd1GGONdHz5wpMn0Mf5u1U2f9fagNR9+WItDGBXcWG+SadWYZgI5/BsQgG/qUmSxuR3+b6869OrwxP6L748QNPAw2dbla82MWDHUNZ+NFrixnLoiSfbpqlmOJD2c/aNjKbi+vQbS5MTxTnzQKMHz7W/BVwZz37Ig99kY0WphjkWJ/W7C9IurmtZTBIkz4dv/FBSvvoAMSXMW8EX8uF7GwLmObyXGebsbM9Zcge7adiH77Jx3nk5Kv3s5LUGsIxrXm2ywS+8Qoe2MKRvx3WPXRjNpq/sFTr0xtO3E9J69ijCXnufTV25NZExF+KkjtWepSFhQzxdOjfvpff0zkuIE3HhwD59s0qHQbA80/UsrW0nYPKw3CZfz9IrdKifX2nzpo+EmpV0eV3rab/M0+tgDji1rdeEvPid5RJ5cpvWslbn7mxRVtbG5pvceN09i3IKtCOvC1whyBblLOE4/OrkswBv6F0wlYPmL8zXbe115bnxAwDSnV1u/A591UA/n/Dsbi7HdweDYHQQkTi7dGcfVphGnu6WD4GeVVxil+7sIAMqXl63pURvj8lU2HAm4dlrAEu0ZY35ByqIsIQ+3dmb9XvOrqI0wnEXFt3Tnb0Ylsz5eYoZ7jwtq7ixVLqzt572h9SG925TKQBXc/7ubgqvMc42BKWAn3NuU2teEONgMzV10bCZVLo7P0hmjOI75B9axgl1dVjTKt3ZW096o+9dStitzKTiSB3TnR0S9bqfB35QdGcobCM44dldfDdfZxxfLMbO984Xj7nRsw+Ao0hF3YTfvRbjgBjy3bVRGydFlPDsDm5k3x3QiSxHBjIAJDx7rX4HYUhOSwEbyVyc7uwOasRXZxKJlrBmNnHNunQndzgjTq5Yajk5uXwYc226k9ei2+1UglUpo3uLaMynO3ktpwFuwTwGIjuAdWEMjulOXqvaRVtygBHHoerSnbwW10yMgXEEmLr51m61qEY2o9MIulRxAJt039zV6+rbbfQIhnTG9XptAgV69pa/q8y5I10pWFkWUPCs0PnMtyFdK1sIaztJX9GYimN1SffQq10KeBoVPQqZTxx6NN/Ra2mc1GxSrELuYUigWaZx1R4F
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
WLs0K35jQ09qdDdr9lNX8PyzFqy9FgNCUOCy1lo/UGmivYfYY5pZtW+mg4Oi2IJku4vEOFWsuSBC9xGPqoiJCJujhIGQtzClyl047KwbMS/uLIpf1T6krJJBeGU3bpltuu+uijMksNg9FodFpHkHU+6B7FEwtFVcssNPq9kTXxg5mRZNKLDjY2BwzRcGNGjg6ORk81hCgqgsPQuTB8ZFdePf3RcMxyj380Grm0XEE97jUrkuOsTFPQ6r+xbgvso9FoSgkYKVMj42BNXsMp6AkclMIMiBq+QhPBGMwuNPxkHkbHRrsoLCbSMjvDAdNfQ5qAG6VyNBqN3kxjFXshTZDDk92A0G0qNBqNrMfmovkgFBLkX9Mmhb2JcW9O2P8j5WTG0kmj0UjaDVA4p6Jmi8Ni1/+KX9Q3RXVjEUbBpYGi3m6V10/vYHxwyLx4ME+WHXc8KdQzP0Gi0QQ4VOtceFeIDpKfs+yA+ZHPJsBRYmDhLsXSd6buqKEUuJ8MxHg49KIjooMChJ1SwL+wu0n9mLqj4WjWJZEQ8pzmYRvskyyvUq9h22g45knWGw1HFgGDATcD9Qq77MFKwvBlSW50rfFwCB9HUTlJQgT29MTdMntokzzqkYcJWWvrMKkTTUE8tLQpbHl3hJ9RN9IDVdFBLwsOi6mIvB/Bc/Rh0UNZ5rZdytWB2Ztdq0MK59BHRSu0MRpJ2I6YytpNmnZvWGQ42lXpIpWlan5XRMLYZF0qu3H+Rh8VR+Zb9jHxnOJMkuXHHzCDQX3CzYEmGPyr7IIjxac+tcLTG8CBs4LqHqRIYj+ZnRXpMkW+ORoRTR+g0XDOAVLcZC27Q15c+IFC1r6feFfgdMZ7NRjNyt6N0UUant6ilZyEOcqrVonsOczQ2HXrI5+VVjPr2fGKBEBR29PymR0c8bvGeVF6V7CUKiR7SIFOmyj0r47WjcOwj+iBHurN9du7m9v7y5IuzF/ZaKm0gMVEDooJvK92MeFXwtaCkEtdL3Kj4BQj2WpHu+1k7jknh6HwH9vf/nqzuX2jY6FEYyFWNa8bkKuTYTC4STfUw6AVLMTyjBUscE9aat95kSKrUWhlJqyUksm4Z02c8omP53OwqKtBODZ7eg9C6j2YQq47muNbNQqdtGIHobDaeQBigmbptxD2QHRz5EpXx0IWKqPWjH6YtRtSHQO/EdIoUMR5auCJIKQhDGGPRNbiNrxNQVoWYg5qV2C5yb/VH4mSBeQuewQKpmWmm5dZPQqzpIRXwzBPKng1DJ6kZz+Z1HoY9O4ytZ94iR11BG4Hux6DmzTkCBRKpBKZdoGfB+6m4WBY+OUOfbh6GDRNUSiskjOYyom70ZurUZglrbkahVnSmatRmCWNuRqFrsjXlZUYJI+mWbQffbkahl17eGa05REwlLQyiZPKSzCmWpl+hNRqGJplKWfAe8krlZBAshRFc3Orq4YhL0uuluJSRoQ6S5cyP/J6NQzzpCVXw5BlH1Dzb1kKCdukluoVbvzbahi0BYfwTIECeKbovRmWE26bcfUolKxNaemcGZXdJWTGzcb5fvzSehjmOMCuRqEVBTulIUrSJZhgG5u7ehF/qmHIRSIpBvnMucbo1rAh7SeuXA1Dq9dDhWzNrA7YD8goy4QGltxUjqph0J4kQrJmvhOJxBmi4EYcrUahEZFILajKLDiSFzbkmseFYZak6hHBMEe+bDUMWYuvCzMUU2xZZDPUPXOjQtbDIEPVAXsayTTfkPDANhS1EopdyL58LmmriuI0qH+msiNujPoRsaA6DUId51EVkf/s9gqSm/h4NQzakEB0doUPC6qTYVEV97GcJ1W8OhhWpYsBmn+oJkAPN93gzKLmE/F+bCRBHLwSOBa8rEhDbLsE0o8oXx0MjTyGCgZSpxLjHkuyk1c07Bndw32Bu79vbx/hieulKxFYZp1UUIMN3e0a2YR1OBfjkFAJlOiQY4cEczscDcPnwo0NOQ4JdVcyErRrJTrTdulDFt2FoDHR6h08JkVSIoUng9pQhs2X0KdjUVKXhtj2fWItouk2bSi3ZGrM6Zgna3oUEnMky44CQiT6FJGe0glWojeU8EtumsGjkJglc3gMEp3uxzBdlJwrUINjG9Pw6ZD4CvqIdmJlO5hnAQlxkcZw065B58b+GBMSueiUiVEOT7TIQtjuDXWbdY8CQnsIM3uWXBLRpYN5rF35lWTJKejZaPTiuvCI0bVF0YHR1rSioyeF2zsavT8ew+BmTEg0i4LCFlqWlw8quIYh4UavH4NEKrLlQCFlyVfqTdjdEn4U0jFI5JKj7M42EIQ5yJvaPaFug50xQMyTTjsGiVYsrga5BHRPuF2VwY2xC4kkxnRRX47H2KT8hkLy5HLay3EgeSKGOVGR0Pu7IvuLOU/HkuHTuCF9A/L9n3uQRHlDW+3HQSjsDgeWVy1JMqEz7SS7tWr/gEoOzP1WU0PidA7Hbi1ggISsdZMJmiUtILlZ1tSKAnWzVMOpRkHXn9LXx0UJ41lwS+0Kcb++fi0KxxbDOfBw8hJdrAWh09mDeGeiyOA303LY5dbOr0Vhnq38ehRKjsMnrvxRDcIcZxnVIMyye1+LQluSRaJlHBl/2zq5uU1zalGYp+pHNQol/UAS/Vh8h349WLWWJZXbll4tCq10Qg7nm9Svl81VUGMMm7OSpDr0GqpREKarmmORliTMdBAO0/oMB4mjV8OlFoRGuD96mMfdabDthc9jwgNxazFUgzDHqU09CHOc2NSiMM9pTTUKWo6cPSypnES+hIrSjlbsNqmpBkGWtAdXI8rqe+dww6tRjP0CPpLzHFVVh4IuIWQkcdLCL7UoNMX5LYZ1PKICj1i2WU1yBT/5m3oUHpF9OelBXS0K85xN1aKws2hS0g7UWgADjKwq7E5E2GlMo+XoWfRlZxGWLM1L/NYTa2Nhfso37WVv0v76bnP9Bs4UF19v3t3dvLv45uYf29uL1x/evbv67T5NenAuafQOtxAC8V6CzGDq3Nv4bOeNByPlkqsztneZ4wIHE0kuTJ7NnRjXsRPJ8WC0WuuBOQ1ZeIEg/NiB4bSwOB6MnTqyYj/RRjPYT8DDjvPTiOJK3MhI65IXPLJL7Ouh5gTNw64pGR6MVjOqSfrhhSy0ItVu7Eb7zYrvp7iR0azKAlq7JWfYH9lFRvZp2k+4M0T+RBGAsNZKGwdY8LW7M1ya1uOhyNpDkPNOOiTgS4ILZZd9tz3jnwEsf7j913/GX2zZti+AX283d3dX24tXm+sPf9v8cPfh9u31jw/v/Pevv6A/D/6ev7wcD0ZTNDyXlAt7rbS2ZpZltOItEvfGyCKIMtADwJiP/QMz4WEGxkIe6bhg6JEnPaosbY8CFemn3e2ZGlFBjQtGKz55SnFNKnaMPqXzbZKMd5mRjQtG0jWrSG2JxhSOiWFDL4tdZVw0mqLWFAARgUqUJnY512oZ/Jys1GycgOBWLxt7G14a4bFotAkAm/OSBSkbWRseEz8w9os1w9bO65u/3f1jc7u9+Gbzw0+bH7eqvZPkJAyeV8horL6DnC25atnlGi7bnki7JsFRkmeTYg2eANC9ttvwOwU4FqXokHYwdvzWkO0ze2JPAQ6tyAS/WuSi6TuYvuOwTFwJ7tOMTgIOtfEHOFCncDoKHQXDkclJwKEeWoaDFsah8UmK0Od0WLKW9QMceGolOmz7Xk7p6ISXRYn7AQxouUFyhJ9Zy/ZwfDBU4caRATYOgZEt1+hP4N5QXD2ODFJ0g9oGFN3s1qZPAAyVfgEM8LSQbyD3wrzRbqR0AmCU3hM0fFgqGDY0+axSczV55cjYudFgbdiu9XUCkZFlOaVftjEcYkQCr89zy0QLaKx4LQgjJVPpiRMIDlGhGcQGwkMSL6g4ndW9IUXIAA2s0zbf4Qqlv84qK9dscAQGtLb5TYGolaG68gmcFOG+q9hAiZKo82Uqfxc/K5d84hANWqhDb3RJUpnnVc7LxGcQG7C/42oeL6ywC0ymS6dwUgqtHlq8BVUBYniXlg7rp4BGIfsCGiB7gbiBTWRL2cwTuDcKdQruDWRfeF6pK2o3oT+F2CjkG5jRX3JmzkOEs7o31ACB0nK+RQEFZrHnhYZqbwANxIY4nYDYc1ZvijY8YTSgeUQeu0hHz6pO0ZNpPil0b2DUBnb5WbW+9JbekplOqFMwSzHdTzuBN0XW7fu5KGJD7Mmlv3FeJ0VlX0CDBrEUG6hhz6sVKMzYQWygomc0CJCzGtELmX6ARsf8jRUJBJ1X1abNL3BSpC+Kjjl2/8+qaa4ltAAF23BSvoHk/KzqFO1rz28K9uDR+6Lx/HmhofobaBEjF+UJAuqU83pTxO3i8Balip7zDaBh6GV9AtmXbBj00VhzDcsVPVEkz6qGlRp1gAZqWIzocYWSCt859Te0ejFig29RysxRqpxV1aYX2oAGJed8b9BO21nFhur2YHzAm0vomcMQ4bx6X+IwOrg3ULWhE4jMHPnGWd0bWu8bsXHJSxnIzIHGWXUCxVTqMDakZ45cFCOVE5zR7/dVq+Q2uqKtKR4ULtka0BXsrtDWxztk/CJsp52nRBUf1TyLKhiaka0F+Lg7be2q5GRJXFEqX/G4TvRSOVg+8NGFHx8Z7VrdGCyST3kX1mDBcbJb8EtpGX1HuiSLje353TmBzY5dFrry0TecEholi2xstOFpZU9LyxagyBbEvTQ6zenBOUF3WOwccW/Y1a4pyaCf0Rg+LTGUFdp16Q5FpwdwoFYjlpNZgRL+cdUEJ9CpQWJh+SYaKtkl5Dn6DdpJf28go458XIwFcE7sbtBWJjZxL42sG17ijwwtK3RCQX2zE2NpJIWLDEYpMtALBUcUBFFQAe2ujMVl8By007oKHBkkxsKjV8MiPjwYO+kcZb1AHAU0d3BnGEpuLKXlLm/rIB2N8bbuTrKyHyCSAgtFGqYaO/niwLfGoiQUiVuDVabJZd6uvxM+IddYsIIosd5Qwk82Ae0Xrit5mhwCY8IqcFfyqKBlYE42KPmyG736mM1PE93odPsPRQo2xaViQ75hmHz5GIxPA2SerZ4pJ0Z7S3MjkFbaMFiaXKvs39Z+G7B3dsx9hKcFSKNNdLn9RXICl0QktszQ3XocEwLE0y7SrwM2AZBOL/pJg5SdtzGYznYJyEHj57iKmlMQWan1NmmFiT89GGCWLeNeKywsIlmTJaUDJOMV2uuy64a5dYAmhEij+QsMCM2oWdFc2B4mO39+XaAJgGRNBJN6n2lx1D62y1T96v0pgGgWA9cytPnHBqSiSWoSIalf88e9RLQLgFR3fK2iJWS4xXMS1V2rSddimIGXFwwoiN/bnZnlKVQzXdF8DZcIWyMgFTGMEL/G0IRLJMkwQbnR0a2KZwbiLXYR0opkdOyGyDxtVSZESCOawipCKDPD2BaLooYdkVNIVVvhSip7FWIds0qaYcHr5zUzIUJanYhgkwUdEbZYAWvOcCzlZ7EyAZCkixn2ddxdquiK2BHnTgKQpmipga4qJ2bgOkieYpKqngggpUsVTTPWxcIkt7Or7vyMeCYcmWb9iBkPewYQXd8uD/Ez45kASJqhIc8UOGR1eGCwgSEmW69gomtpyuPjHT2x7b4uOI6QOyaPIcDaF69EkyvVz6VoQoQsVCFDTHV+c4kLYpmmOvrRTACklV1A5UlDtS7MJUDStnt01/JexS7tmkcAIVF0cMnQIbJ7dE8jRIRaPzDcQIeIFRgbSL3Y3SHJz6hnwpnRWQguEai9iKkV+mV2R+YElo0b3RwSux52qGmM7XpO4AYRS8vBeSHRUuq4IzzOazO/0c1UDg/iypCChSnLLv7z0j5m9CWnBQI4do2yvp/T4CIxZmBOuUxLAvqgbqPoX9MmpeGQ+wQu0yQ7cQMRV6EestyxZVMo/mlJesuBOFS8kQ4ZC9O28glER6Ols2i3lDkyYJWhfLEb5nrBsb/uhmvH/7H97a83m9s39weCDgWb1nZimHbIY6dWMmt0olFoeEj8tmxHANHqVINZhlTeMw/VsmPqtmE7AohOO6sKIVcMiDGgtCvaWrcR9hgglqpDKjxLGV3bCsS78SzHALEoL5+TESDGTRjB2bWK02XPhvnFcXddxkAhATu4LsGsZEMJFGiGh8ORWTkCiVZL1gpdjjd+qByxq9z96HJjgCgtdJCaCz8cLRJvO7Kt3yrtKCDKy5IkRIBXg5zuzBrkfnzBEUDkhcqpMI2WFVqm+Fgq9i69ujgjgGhKejZED8TDAYIxabKaRYQfPXAEEFlTeoQ5isoc3rEgj9p1KlD2ei0Sj0FCcgW1N0t6ing2sMxjRzv3I0iOAqJESBBhSS7Hz+WSSKsSIbLhmQhuS1SgdolEs+ab2WFqNiIidsWQ4v1RKY7OP1lgmt2WfszQMUBoXU1mc8lqCk2W7YDwIy+NACKtShwd0YPD8NRWRFKKvJhHI2nFL3IM3jVniFZv2JNwo8SOiIgdPVWzx7nYIMNgu4zKjwo7Aoj0GH1NvAxRiNvlEX70tTFAzJC2NgYGramKGwLsLKaa2Op0+7GzRgDRiHLXYGSOvBKPJ4AgbRqzLMKRczMCiaytcMEIxy4WMmywj0zl7/zoWKOAKPPSxPcVxupyhZgwF2OHRKM9X5FNoRRncTNbZylH/tWImNjJ/w6uCUxAGQlyRrbrSPS5E8ddZR0BRJIdOQWE8JyhhGg43PADYn/HDyfBLzfvt2oK3Bb3Z9CxvNdaNpSD9NvSrAVhUZj34b0g+yguOw0Nk1J2GwFXopBLekzUqmQUUGoZ8v6XbqVWJQhNsYPf8AwcGRSWY+zqTb+eVCUIaVXeQxWZbVpnt1uq8+tHVYKQNQkAdQW6k6Llh5nvKXYnK0Fol2qyJ+uV3KIlxalTbMhVgtAUIwFdSQYBz4Nln9qtGVcJQtuVRptoxLFaX4tVbLu00a//VAnCHDcFKyHYPVqDPiT8njhrxgMpcWJSUvqt01aC0BZvBPSc2BsOCwqGphyLqKlSqwmk3GUhHhCT8A3F0zvJwB1mFLWRoOXleBeSyMS8XW6oUOHYYalEQdMEZSGUW7C2upSLHkvwuC2FSgyapAiCfBxI3hcXI7y97NqvOw3yeMchyyq0XnPkHjRYkpYNR781x8pQEGaWAkGMFGhmaVc5LGXaFS8SmlwCAZbcchywomVXOYTtrjWy1atajHQniE/oOYAgF5/us/Kmr+1cyi8S9jtCwz7rq5u7v29vH1u6KW0WYNcEZuSkiG+ZODa9RuOA4WG8uDgWi0ec7RAXaLWh/27HaPBiuIxEYvnIKhYyafCnTcUB+qtYg5w6RlTox1PMH7nPAIs/wz6DV00xLipaLTvDytUylSBioN2eouPGyTgwGlnKVOs3NJwAiRr0J7v2005CzSGnGotFgUkNxouQAyHQlOym+tGx6PRcX+Td+ZDQooHdqCL2I5LFt0J52e28h+jGMGvMpWV0LB7x9ZMB1qWlQpXfitq42yKXTEMg5n7aTnbjsGhl7WhwRqRRhXoMPRrDV8StbzsOi1x0PUicXuCM0J6z2X3hZ/c4DotGSx6Kmj1KEd5NMuQU+w28x2ExT0bQOCw63cSS7T22bIOujqkgt1cnbxwW7TxJUuPAmCdNaBwW8yTK7JNl3d+7fnt3c1sQ1Hme3t5xp2AjcHimbtZxJUNG4CDcKCWwRNwptCxMvdi83D7qUWiFHKUbN2IURBZsdmmmm5bOCBxE6XqAg/Bm0L2C8NgpNm3qceieS0dHVof3TT3jbnc9Eq1eZGSVKZLR5vlHsmvYDD8+EAx5VbggSEWH3fdYPtvsgmhbLxWA+nDIpQ43ySoJwRI16DTWwD5N6Hfv9n28Y3jdjkGhLCV02t2qehwabX0sSkLc40cH01Bky28vpx6HXbdkQDdFx44doDAzN5SWCo2DFi2VDhXHA9Q6DRmnft26+nhoNA1dOjKIB7RjiHJp9lo46inVA5H1Zob4TUr7FrQBu7zar2VZj0Oruae8pkPr/5BFp+6tWUD4LWzV49DobVYWSiE2Noos8O3sDkbkeEiilTR4MLC2hTQK8YAL4jziIQm1UHtJgmlGfWtLp0C/fZ36c5G0urNssLFuTsK2hh3LzE9SagQOov6hrDSJj4vaAvtbhv0HtyW2MTgoXjLLxVCZRXrGpjhI7DkQicbgUFIYg54xTAFowdcykfIabI1AYX7iQc1lL+P58zcXX/66/eHD3dtfthcvb67vbm+urrZ6dpF1l5blUWR5hTTw7V7NpQ95aBQOWq2VvHVZv3dJSwuGMOzaf8e+HEbB0CTVk+NwkNW+DKqMYXEhCVtIHHJxfwPJJK8zZXRp7ZZdRTE5KAylcECNJZuek1UA9l/+ohPEGYb+n827k6PORVqo7iTOBZaaZL0NxhB2+zxt4HOhqabi3QdzNsLAcul1KTS1kOdCy6QwDGLKhtGm5e6v/GeFhCEV/WBFJASvJlpRdhOczscweNTt0MqSut72k9sBPVq7VzMt4sZD47jwF/mWbGT3QMWDvBYZJbfduUiXPvkDnLQrl6G7RYFzTT5jvA1NBbddY9LPZ6wWhGWJ/QE7Ux5yQ7TYcC++v/d5XG5YJQjz3OGqBKGTh3zAA0LSIG5zOBF2fTjHrb5KFLLuTjP3RbqRRHawuxr9VthqQdAtWTbSghIr0mhSEbIDwW9LqRaEEi8O60k4D6SxBxAM+/MSVcdOouvfyHnuaNVGgixT6OUs7jKQToSh9KbbclYlCDPcREIttb/HDhrSr3+43W6vFZG+0fbNIifF9s05W9bVjdzBx74SqjGQ8u5wWkd0HzE4h4i94XKeeM2Eg6DRdrQircYie2wjZ8fsCBoGS6V6wPMI6axghUA0x2zEFkXPNlwYZDFWHVTRxG25fxbsRlOd4BkOg7bYaRQXQT4KhuXjQo5dOAwaEX7RqmropgAD9J3tzsJqzf9d4TDQXQRcBw2vKeNJWFuKoCSflYHqh7EVU10VBsTfAJkH0g52L2PU6yALyXWAwcnP4+qyxFSUmsR5YNHRBgx5u3IhaiC0uZQfQE6OLwSaR9odhpTk5IW7FJtcuhEwjQQlHLRXdFLshvQrIYCEw2CWk8jK+2CWU8haDEoWcBDP4/sgoYtidyfu7GLCHQVtGMoUDRrKw+/MlPfs9yzsS5ynMvo6baXLOopSPRNnZ9rT0F8n7PF3ZOedgyIGZafT14LoSbKNC8aPExfI9t++6n36fjgfBYVH5o9itU3GDZMaCb0I6MHQR4T+4y1XrscxNEoaeQgG4neiesqWE5fexx9xCjsKhixZjNIiIFojZpAQIrZrqUSGQZts42qAiwcSR5C3AINdRyH7rESMCodOhKLVSFpWZOBcYKhyJa+zQ9JQ/2Lmkt4uxrE76zdTAc3Ip8JxKi0lfMhoaEt3JMkxMEMBpl+Gc+nI0eA4no8Mg+NsOsmzE/JUeBIVIlM7O71lLHIMvHUO03lD74Lsw1UYlTpkWYDR8hzCZsPemGHvLe6eUFviuJIYgzhEknHspPKqfyUEviVb+bVVNNDaGIwB4Vhg2H5aeXWjR2SSJY0zEimRhHqylNOJhEMjF5cKB5LmwKlAtX0eZaae2rJCCSn/cQfK8K1IEnkhc4ekp5aiUILmC06FaTgkWa2IiYNergUOeCxE8A4iJXZth8CPRSf68oPbQTTXAYMpBTwwDK22ZxD9Il45hxTDxOllvzffOxT9AxKjRd1KI14L94jCGY2zzyGHSsVjIbQGHAt06u1WjBc9h7hoPepW21Owbo/4jWesBtiFw1JkH2K+FroPxTiIrQ+WSmXp1IgCGvfVbLSqOGcPWJahZj0qTbt4iDzXbbXun+hZcalJ65R290Pj47U8qvOQdLee44G69XwuLKkObsyn+lqzWalZHnBgChhNsLBZahcPoc+FpgMCB7DAWMGoI9Uas3tSmsEhn4sszeNBFiXegMwAMtSkyKJRHBIHLRPLKm8J7BcYL2CkadeXXMYdYnVaUxwvBYZYvEbUXVqKvEW+HPQKCcNAuQNx4iy3qSLD0EqoqstB1kho4djujoyMQyPrHYPtOmyWMXUcNbehF8euvo95Sao1AhwLrF6zBCQogpZqVpGHmqUUiogfvG8KcpyhGEHkY9GKfc5grQR7t6L6Z0p5iDzUbGULUC3fkqewpJJ2c4ump3cXrQUzzwXc+hIra49p3JPoVMv9QM1qs9Kikf+skM/FLJeR68NhWdpDlYacqLzZFdx+FJh98+xgweDzm83tm/vLkC7EX4nZP8/8qQqCVjQtVAopTtJQhr2cVmD2xjatzIf5Suj/+Rhjm0oMSmk08iYpqzC6shtkBj0JWS+l89OwE4SlhqzZ0xAUgkbuOy1VAnoD34cTfcv6ZJdW7l6H17HyIJQkKpA4y67VyrLpFjQKtDk0nwOR7AHVx3Aq0fXuw+OmzFVB0Gi7V148pIU7mtqicDC7CvyqpyoIWuFZKF2CXV8FxFi7GZ0f06kKglnmyFUINGIkMwgCcWhjTYKJg9o+oeXhMdhL1jx7VqTn1KzRQk21SzYsnHYG+olhbw7V9v78/BA84h4hFRJcNOwkHaPehFrllQ00aKVuReWB4WOABMmLCl11EbTFiwBKtzyKJPEyu2lDlkslWmKYRJRbK8KLRg18v+3Kg5RiJsdJ70bgKJy6JkXVSZilJEUdAiVdElQIKA9QHcHq3O4c+Cl61iFQEikiuxCerZAz5dyrg7R4RKcJ7wHeRFNG51reHof3oE6gpxMK9mDVHmwtFInsA2A4WnIjvddB0JRWaUl1gXneuAsMVwYl144XBeKAN4iCFW+A4CZAjWBniZFFGiwcBrPUIKk7Ce1aXYhkscevItYlL6daePdKxX4U9P98jFKxDoROdw4ZhIclwYn6TP32cdyzUFJnOo4bRlQMOt05Y0cQGrLjWcB2oGGCFPVOnKMCTd11kOeoPlMHwSyVZ+og6CQNVlYgWO4AhZ04FnaXgd8goQ6DeUqtVGKwKDyMYKgiQyKGqmkL0U92pw6DWWqLVEIwS12ROgxyacJOpjiyF4ylFrsWWlBDmCxl8eBVAA8TPTQRXbKDIOqrMEtNlbqT0CyUcARrb1HFSIM1S8JR1B6a9iEXSRnuoeEkiPPs6KXwZ5HzrYuCVNwHFwU21rBNdkPmoFHgKagTFYI5aunUHYRZ6qbUQTBPzZRKDDT3TvRSWA9h+pNwoDnnxraow6BZFlwTSRuDvR9At7AkpIvJfbi5SqNnS6wHIRgktE7sZktBH4WdAfpgzVkcA3m8ZrnmLHsg4cJgnvIoddfBbllmEAeoFXjYjivRkIDmt9dbi0HpSgThYEWdVGBgOGqOikHSjAOWhqFSAbtaneX+ZtS+wTx1YSrPQrFkhCgMG8UhDgzPQhLboXDvQqMdcFgY54Gdb+gYGPU+yMXdTaji8N4iDAMnUvT7qbIfG7HuLORVQX2VJHFkWwkdFLs0MWoczHONuTIONAeJpZGobIQkkOnbGDUO8rqQI5EOTuIpI3hYlmch5ruQNTFVFjjFSdbU/Kh1o2VWMbRnyc2tREDR9MUrUTyPTNdV3HoHVQi0WqNeLOHYGQ8i1Ia6gWsvinoVArPk5VYh0JXGzETL5U6qrXZkvvRiqNdBIKLSg0k7sgLRYoe6yQkO16oQyE2Jor9mYQ/aYwf5aNKEtV8j+PUMqiDodJmE3hlKBHkNIB5qJ3u1a9E4lMt1EMySh1gFwTxpiFUQNF3BH5VYiGCj0saW5W0Y9C5oRAJT+7wx9Sqhe2Z3HcbMDDtZ0NRmVqy7j+1FQ83YmAi0C1Umi+chb2h0pmO1mAjkrtA0AwdThCBxFxjuKjVrPlHRXsSs1Q85CGS8jL8MtXJjBkF6xM5NzNMxSEjTBF6exdyv6j1M2i9crFgwR0EMoE1gt53Rif9wvGNQGqs+GH5ind0OgqDHYJZ8o6pz0BSteEjtiQskWBLZ8dF3u8LRzkESorGiWNA4kV2ZDKk2TcxeSVtMCtA0lXYRFrm5zzeai30CnYJWjGAU4UqINtPFcPsQdCIVE+0gzJNzVnUdpqKTJahGqJBWn7amd0HQN3GWRKOqIGhnybGpgkDkaQd6yGCXsPUU1pMMe+dBxYDnSS6pCoL2ER+2nfihafPciVcBCuEBt+T13Yc32+u7i9c/3G631/cx/2ASkLTpFsmd8SgVotimbLvsI/dViUCTS6p3JH7IHCv0je0yQyeeWSUCq7LoHTWLsIgAbs20NcUDol3jMk6vBaCkhSwpEUeAIdsy7ZxAj50ZVyKwnp3yYy0AJW8AsAnYTIpUD+3OwNpnJ6kSgEY7mrMwPlEM0TVffyqSPyYFslO7EAgcZAP3T2HZLkeo4NpWTXSQsYJhOEdfumyl1X1/1mLY7DMoJikZfbJp72BfEb73/f1RqrnOXR0CrSzdKY8UMiBF/EPcbNr4tI+AONLwK5D6f6b/6R9u//Wf8RebOO0P3evt5u7uanvxanP94W+bH+4+3L69/vHhSH7/+gv68+Dv+cvLOgSaRxAg0QYqiT6VbNHmEpA1T4eHsOISmJ8xRF0AZNGnGdyCmBvhFkQuiImJXQA4lcW1AJSSYciW4BbE0LDBNWB2ArI4msY6AW3RIAeiJfflkOG4xK8cqrgCmlSKAFiDXJI1CNTMpHM0+g7svQIygeXfv/fHZ34FG6l2BlcA+NW8c4R52entXdVdAY2mE4oVghijmNbDPh3yuu9flUsh6HeRBQAGBHY3oF8pVHEBtMXfH5UQLx6SS5oddcSJSFgXAO1jHbF7ZyBDJ92QScDuH0plQUSdIV/p2WdBsvQy+H50Q3jNDFeA4Qp2lpLDIQmqaYt32hKId6woD0YlDIswu0vQ7Q2oA6CwW0KPIPPn4DJ/cgzCyn5Ytyxv2RFnBlxqvAIn2QyoiYFWOyKJ2DveAQg1gURo1hEStiZfAr0/HiMTrgHAc8suiRJisHswS9NPr5jJNQAhT7uucMh7sGnLAIiAJWZD7bSGyLNUg1VnQI+GZNcWuQC4g6ZzgZARkNuyurmUA2SMNi0C/JnklS/hDHfLKhHodEEEHj1Wy1iSCGSh07NKrUQgyzWn96pEsxG3gN10LOYtUNwuRF+4pa4IxoOGTYGYAJScf2ivTDzxoOd9il2RmpewEYq4EranviBvVxpWxX59oRoEOq27QaOhFzQgheAArkK7GAh6CErrpTgEAACpIMYDM78GU1G3Ftcgr1FQVTxtOBI+GUq6OSxbdaLpv7J0t/DrjdZcAkknQ+JqwM3BDnxJu32qkJdAsyjQRC5luRYhMFl/aV8S9j5fhpLCFzkCR6QmAFpRVxrkgs2LRqxhT3C1tjIZbrX0EIu4X3JrECv2hhVhzDug1ckg34KiPEScabt3sBF6crDGWKvrARZwpxjAISAFqkksgf5DuJN0CIZA0tpLYmXAySAmBIbpcMTWaCpq9GJCgu8HT4qCwCwCsnhmRYsA3RrkCKC2CDQWMCa0G5J1onUWDYHZLVNWPoUzFG2vRKARG75BNrTepcMtdqjsDkGWYUSwQ5BXJXUBEeEDZxRFsV2DPOYSXaMHpSzPLHwRIo7blUQxEciiIDGgzqMzhBUqmDesp5LGnml5oKYsyjINVxcBMYeZN3mSxNkqBITRr4JgxxzFnGAaX+BQYMJre6AOgYL0GOm08xIR5cR2j0HMi6CRyk/v0DB3sCVRVrOseCd3GO05LBLoZViIGCAQzBCIGQPaDpxF6okxAPYgroG5H4JWhoHqEBB7EE8BWNTTuGMHF6FMpYIdglnuUdW8BK12aqDm0O4laBEFdklxFhm7YCHQSv9Dr5LhHoRnCcZlduJ7fotENTHQ6I1akp1jJ3QEwCVEGM1egpgdorYoLYFdKni2oDREcTwtIzyBskAPTBEDYNDd71LMnjqUZLVN7ZMl3ikms45pFNK+C/r+HuwNDY4xL6tYJ+pKDFLqk+P7mUg+0aPg4Az0tspFAvhoE8MKBFrdIsMBwDqJCA+u4Vkz6R7sISDy3vzRvT8+dwRo4UVZJkFCjObIZGX64sAY/acov3+ju+S8RwDSCDZqO/I7nvT799PhHVvXIReqOABZr1Qyh1oYA8SasQNAWpHBvl9oUYfMOfp+2SKAJv20cXEv0ntbFFJkRbgAOxE+G3z/ii9AlMPUGbI7AJJQ7JRFDmPh+YRFWm3eJ1sEvEaBYkAGnKOX6p+FN1ZxA7QL1REQlx7eomjBmbErhtxIUxXfn9eFG4Aao/h+/PjJcqM2y3Mb7AoU04kBeRhdQRFWgdKk3QHwq4YrIqDV+lq8Q5HF5h0ATCsDDgS4Rbw1VgS0i0esaZg6C96kYQT40ccrIqDRUqPMHifyNABAO8SuKyrdtVgB0JR2ymmDAg0x3IEYENplARHfgLZk1kemNPj9YcoDutC0K7DfCNjTpfocWoqJ58uBcmmjnOYiuAHhZo4tomlZcPQcKJckt2l7hF8A9qSZdQ6YlqUdOvCmISwFiogpaTbkA5DkiR8wJHiHbrdKPO8D0GhrNtmc4E5giw0quzZAyABoRfdT+dAQANQHtUyB/EbjNSnQosQRkiVKtMFMhXViRoBepqe9iZ0NDw2E7HLAiDlQo3MAWZxgw2K6BeyuwN2SRqwkOBXpsiKsxFWQ4dZAt+KjGQwAragipHlZnUE/3JAd05uBDOhyz5cGp6ZUB2NvgtNA2qSfVgYc2A3IbDFYBJTYwnQHSC8Qj8C0NOBAZrrfDO79+XkroabIGMdIVELA9BXoLU6GOQJN0ZwUhhMssUoCc9Mi4GAg5rY6VJEHJfELHSSCyx0rolta8mRDdkMbrbCIVwBbI0yKgB3hxF7IoedKwH54KpkRkqQORqIsqTMRgPha+6noQIZ2KPOEsUZteAn4bRFXXALNusCS3SmLYSSCPfpp5LDnWReoAKCVhpfyoKNUkLnykimZDEVDlsO6Ic5rU7Ixg9W5k9yWqAgAPRTmR0BkdjEUNvz9nW4AnLn9GO+rzc/bi6/e3l5dvNy8396H+t56TjsOyQo9cwL4BHwk/PdUlz7ZqccGkX8YoYMJx+LYpUANANg0LWRBSAL4/Cf89bE0sAoA6T1FAqApupNDYJbz4A5bgx+biH0MgH4s7H9/ZBnHowbVRMD0J/BjABwkgpJ0hooAvTRJvSCuhKClhAj4WD+sBoBWeHiRAMjCUlOrQuI9mNEQ/FgSVAPAWhaRIwEwfVHmYwD0S4H95/cMys3pwTVXwPQViY99/4GUjKwjxAqAkt8IuEHIgqCjAmbEx7LgGgCSOF9HAkDryLADL1bnE3hxT2BH13y/055QzQlIRedFVAKsHUCSeh/riNcA0PRywiM2BAHAvhDYJ8Jl68npKyI1CCTpvjocgQoEdB7AKxLgB+MQEENyaiq8/60b+e/i75dV5ONwxKtCYPqOxMdCoP8M9sYiqf9n67FAFQQ7iSftNcCTMWxNT64GDjmiAY9BIwK6miUsoyGwxExLYuk/hLoIdpoOSmicHgMWWRYJ4t/piX3sHPSDYOHDE606Bu2ixBQHRQII8DH4aFesBoEkrGOHGNgXcr2+0M313e3N1dX2VnWH2pUqjHhpED6UWBrDhGTyi3BwG0hYxYOhE3PgweqQ6EwiNX4CX6IqGtzuxNpo0LMCjgbSGEOvEOSxj3FHa2Bw65TVolB0JcMiJV8NaBh+VFKhBgUf7gROYSUKTWmVhuZGjAJ41B+1YqhBwWeZqB6FXDoRNDzBOgluBToUEx/KfsK47jVM+38+QsJYGQ25qEaNQTKnTGRbb9k+8EsYKmHoxJhbmVOQ8hhOBAgFlo3UJOo28Z7L6drsNXdDK1uN8WBoS+wKIhmK4gJKKctDkd26ypWHohENjEExcW9iiQGziAobFRPtOmgOmfTyNQatGLMx2QhCPLKYZwTDzh/C4VDsh4P7iuI/f9neXm1+U+VEpw2sRIMDJwJ8Q5SWlgnkjuXMGAxGTpbEW2QNNRjMtaSqwSCLCquSYiDzCqRNKKksrwS/6roGg+liDFWPZO45umLZ8/DFfMbj0OltJLG3bajDAJ9302txt/kR7FrM0gDTPVdWpqFr0fJpwH+bCx+/8l6c7vBZcx4aWQMNFghtcS0FRIx7v2/T5nu/jBq2GZ7xRmi0VB3m0FhQRbMNFRT4GJbN50ZKtmCBkItbyg/tZ0zkLUsHvwqq5oGcvqJUcyH41Q01GOyuqUHthBJSHF9hcvUxvZYaDPxKyBoM0mNbGkzO6pAhWGLQ47Ael5hQBYFWr5TaMZNoAawtTK/E5CPcU5kfdKJZr3j6ouEK4RpTDEKmB3mytUPNbdD4mD1VhkHWozjWtacZFFmAf1zDrgYDmfQHSw4my7rXINCsQhYLYuyn5Ixp7gKaEubSpo0kN7pizaOw26UYYIA8mUka1GG2bKJkt0FkHQaKn8Di7kLcpsrZkqrTuvF2azBota4pU1fF7gZ6LqbdA9kZDnYjJr3DBQhklR29dRI0MOyt+5FXa8JAa3sCAnA3eZEV2/wSJUbjBadXAbtZewj+/M3F67sPb7bXdxePzReyVrVggVtR9iF9N8uy2c/xow6EktA3lrohdE5UdpD3LN9Gp5XG6kjQkyaWucxSOK9tJ/FuIkeVgVAQvEYgUKrMCcJkutaziD1WYdAUJZ+RJGHqSkst2G4zvBZjxkGjuaws9/Ug+itUrglPQ9n7QIQGj0Prr70P2qJHMBJFqB7ibYT4/9SXoXcWemZgvT+aL7jVY1CSvkSWxNMFlM6mvPYkJdixM8VqEHT1LNpvovz1BP3PuurZZdGtFgRRI9IWocgQcBKgAT31Qjhgdfvs+1ZjUBJAg+wDUkVKkWxTxaXLznctBNOlT2rOgp/4SVWG0AoLT9tESgsBsWDJ2cxShkW7FbUqPgsA7PzRSBZ3YobwPDJAVYHg21YVidVocbDkAz1oKUIbmfl5oHGbjhuDXghZlrG0ZaaYhGD2bsnGCVo/d3q9gxurxNADA+MJPhk1T0NQEJLe9JGempgmQhvNsrucsg8vqzZLSIvSpdDdT9xIHcHwcfALhf0/da+z+M3mh582P2qZrE6DwMzlnXkaxo6Wwxa3PkIVBnmygVzNnZCGJNX9W2lJTsNpqANBC4WwhxilStj+M9j4OtyIddltqQZhpi3mqkhoi6xd2AiIUoKBWsazeMlUYbB7svTCm0gloMN6ku3VKgw64WIqsQTZhM0gJllO3mI+DdNNZWqehpgYNEVrObSYZRcYPD3LusFJQqr2ZUii5aPMZWgMjedxZSsY0bj1mKtuhCR0A7XxSI126MlCS8uypeRXRleBMN1eoOZK8DEYwIO8x2C/7vh40VAQkaF1RwydMHkkJR3Dyqm/7jhoLlkmzJUYzHXdsSYO5rruWIPBXPf8ajBo9ePIteOesWmaIVy60RVrQMjr0qUI4RguGaAtJkTTCWyEA6nV/t7rcRc6akDoZKikJOaQK0JAiGrHqXSEA8lpt22GGgyaojwGKFpcP8OM+6NOxDUJgp9mTA0G091oazAQBYpjz5wqE4RU0t4mM0IxIOg+bkleA0Hymb9WYtDquZvY0XELgRJFyxa735pfzVFIurHKRhRkTI2ZG/VWLd8FN5mYGgymG1JVnQWvzZ4aCNJMVx1rMGg0l5+sKe+lgrDuadlR9Nvzq8JAlPP0uicI3LznZ7rVEjNBkmaDZibdr3RMbq73+dt7ouLquL4sVVEgglADLgZOAhNSiMFteRLctj1rIGj1wisJzzIJAbtd1EcyfBf91vxqMPClZrltvNZAkItcFEwXRD4OXBTLrZ6VGEAHKxU67VtOzVRe6sFtgNaBJQZ+JiU1cZDk0h/ciPeutVDkNiWiOO35VZZLK9VBkoVXDoPOODXoLby+GJAxnrOtrhtIsvHKowXIppkqKfptvD7Zt7AT5fmBhCAAQMkMwzJQVS3vguxDRqox7Ol0agRGGgBgPRQy7JnaTO5lhz2HliObtTw9APS4Xcxq0EIFPRUBYJkaLnuf3dvp4n9a42vg6QjIVolS0aQ7gJY7bctECSeHjODJ35+1Wp6MU0QtD8WB5SQBZ9MrJ3oyAq0mGgAByK4jKYSeboJRycTa4MCvaL/OudcPNd9qrLkDs5aWZqlAkUfDX5OTof5W536fUXLt42y24q094Fl8+ev2hw93b3/ZXjxGM/CtjnwWV0agoCZqnBDtVphQHliWyU4s9REoqJYRr21A+wFJARIjU+ZR8mmY1KPQCh1IyUPBtoi2vS9tC0UnAlY9DLJ4O0AB5k3wtIQbBbh4ljsL9+Ypx84Q6mFoxXRclcy7q8Ha3tjHy6uWmNmsy/30xM1ksFNN70enI1ELwm7yqRbfMWOkzY1L2xljkvN17ANRC0Lz2MIzJ41Im6X3Z0XA8dp3riKn5uIDgbmCTJfA2bfsHjhlC7WBMMe8sRaDVho7etkX1yIyBRwGUyKWj4hiPQiPZI18GrDFI3YdRjdCExOE5hFJURo14kpY2eaMQUFoiyCgqcb1A7WULO/FlHyaSrXnYecJoC4FWX5vkTBangenTR7kzfu+Ejae932Fl5v32/tLkL75VzJM6vTFKAvPbNFjvfvus9FVCYHvvnNMCLToumw7szON9X6n9HOPnS/XRsEcd50rMWhKgmGkpskcXUwbe+6xf7qhH5HvEFGL4T/W8BJDnoRW7IjVprN4H4OPZqq2HRKCpmR8jG77zgUbJq+WDN2QELQLxb5Ai1lYOGCqY+YwdeBysLfhkylXXgZJ1ooG260gpIkCBqgHsw+DJEMQZcsjk1dw1U1bKE59pNow0NbXIqTJYYAVJtt1d58F32oMyta2WGGi9rrxBNqpjVSJQV6VfXlISBPFEo6DZTvRqbFci0GRqY05/Cn3lSsxaEU0dnAnQlAV9wFENEk0bmITqT+L31PUxS3waLP4mpq51WEgMprcPenQTLSkJDm1kGrDQNjTemlBJtDWbt8RK8Y59tUro6CRhUXdVpdHAcQcy7Z6zA5aIxtKWkxVhIWx32zZS42JgS4VmLD/MHk3rRhjQiD8cU0+4F5yZ6wmGzM9arTuBeuoimcftNaTLRFF+hTH7iNiqrDPaHoSoi9vru9ub66utre6qa5H79xUvxS+JpYXpgJRdOKQy/g4KdIYFBbqSAAF5iVRU5nYKHaZYq+N1PujOWt1BAytZuQABpi6ImGGRRF6SVOzxV7CvNyHQO+PMWAoRQM8uzCBx1YbyY5PjIYDQVXZGgh4N2S99C1sdiTOaCRg9Dp1n6OPQxYiaEAc2pLKMI2cZPAImtbptRdH3A5Z5w1M7Uc4gL/awKfmLGBoi6KagIG7jCipTcXHk5sCe3Xm0BTKatoCZ11NWgQ/i3BolqUmE5rOYmkHo5KpTaYD8TCp5ANekklTu0UwSETUwFyzDIfUU4Q4oobaiFuyKc6iwFLhBSDgYKoh5jOSHAFDKwbVuveK2wG9VxwLyx58WkTNHXyFc3aeggGvhyxhr8RzyK2C1j5saXxOc6kx50LPpqQhz1vysMI1FRFy6j+NwCGLFaduygvBFwmE5bPZyH9awHMxU3ur2mQySympOtO7fhzakpbdeaee5IhjMcdBzQgYVqXNWeTU4nKFS3JqO+55zP9qT8VKEfzE7IvHNaC62lLfG0E94CXpqq6TZGQeEAbdnRWBHa4srMPB746sssTstESzzCtQZvKq4OQmVNk5XIjDxxlYtJe9f+jXd5vrN5vbNxdfb97d3by7+M9ftrdXm9/U4CYX59kg+PD2LMgtptbZCx/1tVFItMXSApIbSKkhwAYquGWpufZZEBqFRKOFq2W4zQ9GxjzPVH4m+3jdjIPisQ37+wXCyaOsAys0aQIe+80AEvs1r+FFIVosb69/1FeFkLYHiwKXzAXEpBt3pmU6tTOhC4uFEh3gIQbeD2CB+ts0p+p8XNZHxkWnbYVZq4hm/2SwDeFCwzlnKzP2oHHRSAdRuYTtrBONRSxjY5FKwhzEoxcLRewdW859W9nkChoXSd+dPNagxVuegZtq+jWyzBMWC1WPAgvQQ/J32LFBomXKq3dhTI28OfG3FacbZBQjYh2W3ctF6BOStewpWwOQUwgqMqymW2YXyYctMzIudqq0esohdHvjrvZi4TIMHo1F4UUlJURRg0WCYUk2buXuCXpztvqM8NSHNpJQlUEZ1vJFXQhfKSgWjTRvVaufynXIxsON1DIuUo9beESiwMgzkkW4V6kC0lSUNbNN13NgiRz5wnCdfcSOC1eZxFXoq7PRRaqoqPKTCrMR02dkIXT3oFfnuqQhSkYD3N7Dtr/lkHQVuqeVFqWBMTjaIpeHpq8lRzv2EUl6zxWrC8guFqQhCcqZqNgYiaVFx0Jx94EFsk7RTCOv8zPCopRdrGiMTjKCqEYsM63gcaGzTjkj0EVI3Ou0HBLFxkLl30BCZNSwBYsFF9NXxCe5QOF9MEbeS8k9Oj8tLXVcQhxArBqSLQHNh6c7AoWZSonVBoOuPWQSglcDVwNaN5Y3pdNOx4hoKJErAAM1u+m1sC1Ho56JJLppg1EQFLV47Q2Nq8ayWeNE0a0PhiRbjgMY0i4YqH9n2eMOeyaShKkW1uJ1LyQOsklulVxL8+vY9Wd9NHTa14e9sGnbCzstuCEtYfATkql8KFpJjtSYmDh4iAZiUxhGQwobDar4xsiHCSXU2kc8WD6XTkzE+jMxS++Gehga+bX1qhfOBBmg2jb0Ox8LizEwlHT7UWFyLx/0XGESGD0UYdMG1y5+42b9VflOZGGJarUpuSERDJbvRNgbstXJk5h/iUW08Qw4bA45U82pyjPhOtRy9P6qhCFprSHe6iF1GXSoQSqztHLwuxoqLSI7TbgUNweR0SD+qeFz6dZrqERhpoYOlSg0QnNQBHV6JtjTYTLhtG8a2zPOTv0/0z+CpXFyvS1gnmk3tjIcWj3blW4sF9mYUAibyiiTjno1dI/036gnDV4l5jSWF+Su6enQeKoMhmZR7sYKMd+i/9a7G5yk+epvhrQsdFyQSGM/HtRrtKVN5RL8EunKYEjaXx5dSNwMHAxQIRM+3YSb4ZHtzyPKVdYHQ6ufS95JkCZkhhabZftt6cMDqoehKcn805oKi3ZCx9b0ghTXxYD3oxBcB903NOaZ8AJtnROdVlXeDFkuQM285y0EGOSZ0gSd9IXqz4RsBOhWLJMlgUJjye0Ii0Jb0mCjlZSOlCqJ7DN1WHUi9YR2TMSc5p4MB3PpyQtbp4GDbjXI9oVsa1GFOTFrONDz9VHsxMbBPtcZ7oK/2lx/2FzdXwUPDppJfm+95MomUaSUYAmE35JrNRCtyFmooT714JgDZ7qP47fhWg3EXNdbRwAxx93Wahia9SOLrdKcNnZb9ltsrQfisY093i/IsBS07EH5yetUA6FNRiWFuN+zEBmiCRX3gbyx2Lofu8oa83auSluLJB3Ck0ywI6emlAc5hN+mXnVApOLOojiGiImQ5cnw20La8/9VNnXzoWRHrosMNstIYrwKsqzlRkEj8edwMmpxyDNVF6rHQfF/WFmIbggw4lBsWd6UC1GgiBgPWtKWpzfEgyIHmU87Sx6UX5FRGw9Jq1ayG62Y6UDxerKn0MHL6aauVI9DKbOmAnznl2F7T7op6FTjUOzan7p6Ti0KbXGCs+Z2NTwiMMiyzB78CoxaHLLeR5S8mju15ClkmU+2bnl1LQ5tMa8W9SDUWcbeSn51Vi0OWS8dsXTnTs4VYxzLeHBUAqkFotG2QkKPkxGGMY3arbwQ/WAuk4flxcvN7e1v0O28eLkplBmNDK4OuVEoM8hfCOZjoIFY9mzdyozReOSSRyHtnkhahfGOJR5uYqaj8ei00K2UHWy0g9VVU0Nbt7JjNB67xYgBl1BmXogPJBiW5cfSa9gzGo9W3x9ShsjGGkbClm0Kt3JsPB5Sfiq+BI1+QCGi1X/DhqaboOdoPNIcy5LxaMiivyJQiPMISaaYnhZpnR2/iTMaj1b+TmXTRNkHmfLYCp26lSmj8ZDuwmCtC48thweWFk5zKjQajk6SLa1fyOQzaASYVrF+VctoQLImYHH1ImUcpLhkL9BoXOZWvYyyHVCb8pAZQo+DC3vQsEzf2diCS4q7DSSQpOOQwG+A3A8tY8JHcGmk4Km6PhkJyr3YFNRUPSF2TBT1yNANRloOvqpxvyc4FGpwhqjAX9IKxSNimZEHh6J0aULVEgQ93BNENDibq0Ik9PupxZI0RshsADuy6POYvqShb03RdR1AAc8aaBcKndlyshz7gGifUESFCLVhyE5+A+dzQNRjSsPE3QtCC9SWXP/YUSELT/0DAihwQBAVKxoinVFeIZO+ARQkdbprBx8t2RzsR1luUo9MNkXqdwAFrHvYchwj1nRGB6R0V9AZ4bwCdDXTEsRt2jzGDU/T1YAD+RjRY0qPyPk8prp7A/oiRiXMWIOFqO1dETsqVA0CKPCCiIkR8Vot84rYUKgXBAXIvVeNdQt8FRsKlXgDCqRYInqJ8btpORYbCtXEIrMFZjPCYABjRMuxe/CoUHkFoMAjIneFMbEzOBQqr4CCOpMPUKTDjduU27kSDtTxx2Wj2t16royoQOKN0RCyTahgns9doYeopKvPO0PINgGFaeLduzZfDIzPjIuQ/S/4ZJd2X5cBWTFwOCD1SOx0W7UJNRupWltmuvG2erYTT44JV5UvN8bWKCTU8yFCX3hJxYDashZz4yaNQCLptg2ztMiqBwkF3lLLGYjfQnr9PdEUFwQgbsSqPujamBr1uPGzxsTE/JhZ3WWPP/XF9urDr9uLrzfv7m7eXbwqLlkmrbcvtHhZNgXHxLIub0Rz9NjvZzUKjZ6FCauErXRhdme6HOB0O1SjkIoyLsIo4ZH5ZFWf/kJds3bJpbrLHtfo8ET8/l5ApwUKaLeQ70l4bsNS2PLFEJf74x+MkWA0pZSKliRY8Mmal5cWLrTN8aGhd4lwY16+IHd6PKGgwFuWortNtrCx0WrnGlmQwBOCzhWq0amdq54IllS2jEXvj3wSLWvR0aHRLkpL6mj5S3aFho3lIChJIyBsaHRFPSyEButhoalpavsmcRgWjFy0NkJoMBjEubEsxpIIDYVFI61KayKyj0mMNFuXzBQ8NnZGVHpphgXameptOB5rc+zYaLTHDevv7qxDwWSd+qIcaAF5FSUjc68sC3VqZYa4BWzQbroTkdaDFu/+BgnxwCYpQpQOLVloYlsGyoKWBWsS8d+wt2hbki1H7rVbpwI3y5LEmYTQExYNnXuxDGlmTyjkXqYknF0ghgUjp4IEJ3q/VL/ioKD9O1XKvX+J5jUHWlg0lopowD5ZcNdE/UoG5abFfK80Gby0Ie7QVl4MvVWGhQBcGchELeeHbk2/ke9rqw8K0S52LdCWHhXD3Mut7dXrQRy2vR4zbF8rjq/0QHnVsCPytyEMfj3QfSvmiTCUXCYRDTxbR5VmqsfZSRV0/Guzx7g4hOGbzQ8/bX6EOsr9jfAgZt1qqVo2EKPnFJU7xKyntjL23y6xxzDIaZQ/2rd1xuCgmxjAAYpaoDmjiYHazPK29OrojAFCJoNaKQc3BMaG5Iwy8YbYB0TqTQd61WqMiOi0MQoiYskaa+wP01OO/9MNYfIrhzN/Hv9xz7OS/6GEe/+PfSjiXhF6G5sb4SSyxtonphsA0joNeVdm7TkpPfAF0QvQ6LSt0b3qsBGXRKPVi0WdlOWjEnxiLBfIoFgQNiZakS7SZhDo6XFMmOrV7lxPQ56OpoiEKNaSHhAanBMfjoN+nlfne8TpmGmfdwwSq0ccQpBnowC1vie8erwjkGiXBWctzNZpjY4tIWTNzkjSxK2/OwKJvC61rNDAu6fhmE5B3LqZY5BYld3WyIGQCg5bKo5bl3sEEq3k0koRSgSyICdnmmK6NXXHIFGMCTR0xTom2/ap3Bq6I5Bo5DcfxAS6uTBrhTknmhOW/Jvk1c0dgYQelJLP/Y6xR2XH1Ir8oMfvY4kA3uJ+2P3UZpVmEwiNlYcdDZralm+oW0d7BBC72f7gbKCNy0MwGnZYzs792rj1IbGeZyO3tp/daSEsaeNK1w7PhmVANLKl51CG1uLgq/Pd718edQRYPebJwmUfdHGxP4irEm0J6AZaxkOvnT1g59lOQuth0PWntC6FcYX6c+p046AnIdy+gMeiFXlqLeeN9wKLUStb5llUFDotcCS+99zIpoaEaTS4daiqL0ndxxYxc6YvZ+w9mHZvfTyVkFBW46A9toADUUZ4mRb75ifJx6zGIen1amZikioFZp+kxmDZm3Lr0lXHQ9FrDPsvLKGJc2EqO+zXo6vFIUsEDdiX6NAxSYT1nSzjwW3OVY3DWnUgiJ7MnUq4bJEPhiUOXizU6vshy96a1mvncwGfb1MvQr/uXG08NI/J+DMruUUP37IRs9udCJhNzrQfVR8O82xQVuMg43lNNBVGtjVZX/jfxz4WY8yt5+rhW21u3S4K3QciyrBmaIf9SMvWvZ82SzUQjcwoVN1NFSfbaJm+nE7SLMB7//N9/fZue/HF9v1PpD7xGOlYpQ/sYbEb+JKWlWEatfbR/6sHQelBAgR07NesPk46iOcAgmbhs0mBrKvACEna2EYsiLChoB9MUrijOhOjbmzFms6x4qKgVhEgQo9HgqsrZNOmbMq4KKinkjw7uEPNtjamzIe4KBRuR6q0W2LW4p08kxNRklq/19iAfLIpqzZsLGjrYnZkwGybWk/UcDiHN0L3ZNmiQ4SJrIuquLGgSmxSCKZJBcUCOk+WhURcFDx9B8Ki4Go5EBeFkkkLK4gjdyQeseXMKi4Kijl7RM+FuCh42i3ERcHTaSEuCp7OAnFR8DQViIuCp59AWBRcrQTioqDyhSO6CMRFQXVZgAIbHtJyScbK6knWlPtc76AP/7jcQ9b6HyJqiqYbjWWmyz0cECJFa/jYszr04uuBWKiXAoQn6bUwM9R0b3ch/4ARgei0FyivcpPMLXRQSDbf8GhkWe6LCESj1aOYFblT7iT3GUMgVhJ/MYEorapiVMWL3BhV2dIBXVYJxlwRSe+WiEAlVvFwRYA0bTmsWojk0FAjhNGxZNGPQkJbHAIJcWVCOFgT4QJHhCqyyPKScSCFTmOCaFwcxDVci5VicbljoXjTRbyeWNQRt2zGHIy8LmQRZHgpOqXZVmNvuRfNioaD1hrEPZl26gaYYpqqG2QRJAr5dsrqxIA6jWyKbwhaxbOkTq98qNNjTkarufS8tEwccjb9NBUmXfns2owBIms9NV5apvwaVwSOhmV+vRbfp4hHI0noD2ii4P4grYSDBKRqLWvwlEW+LSISeimRpUhJ4gEpBLIpy6FmFzgitOY5ckp5NbCEhi12yzTCrzdV3YxIRfkTEMLgWyddGcvSMzAQjeQJgzsCrTrwZcEJM9aBCQxE0vv8fDRgKk861sb+faGBUAwQACEJFXgwtJZn2JUJDMR/c6ghntppM0exa0M0oOokwUXDaFgIE80hhajk03faHkNgQP2NBW5SsD4HGOY6zKiMhqZklkJvBfv/QozV9IpcuYmZ74/yUzxOu4V6KEQBB8Qo4g9PTybLQub7bbRjyFZXYiAmBgPVF5RY3JdDQm0aCcllEa/a4DTrHFJGnKJDa7xz5ebbWGn5m3XLXrSqedMGVtjSwjXatBHp32M/lPWhoEVXRaZazgNa1ZYTnJ2MRjgUkl7fZ9kb1BI0xwKP2pIy6mZJWHkgknZ/lvEuo0C+x6YouIne1L0Qc5WmrkOhLWZMCAcWgiLBG1OpcjfBmzoUkvxzDaZ4kKTmzjTuBVM/dD+5m0oU5mk1WHk7zlWUuy4WtGwBsT12MytUEaaOL37ay3UgNI9pcWNyh1cSjXnL5oKf2k8dCu3qEXEXNGDJJc12ou2kPo355X6icsAYfbW5/rC5un8O9u5gvms2HkVEPQa+SzZOGOyrv0Pm8M0/trcXrz+8e3f1m46Gkpoq0cDgf4TeAha1p9aU+zISFXuJDmfeY0E4jIEiN2qYLU0G7sBimD1ZvOB0oBBnvEEaiU4DJ9NEcLBMpv2Y1GPCohFPVaX3Q6N9MKmNp1Urn7bLyCOS9BGRghurBtAjh1q/ZcHtx6ceExdtV6JUI7kUL0FklqZnpEclPi5RcAwWjZhIq7KTim90JtGot1RRbCRbPXZTbuwZmSmRdkxcJK2VxhzSS3a+wRhL7pMJHevek9pze+n9MUp2UdLnpjqUTwh0Z40bM15EuTFR0SY10uKaXBjWDTaULCf+S5/h5sjb4ui6q70D0rPcPKYz70gksnZrJtn2nY4cpd9Tc4uTgWJZYtWCXsziq+TsYHk+1uL7GvQ1bYs61Rh/y11h7c/rxzAec3Em7dosLGMRcUeRepos41FYzJRoPA4LVYogLsTonmUXT1RAaBwWJbrxGfKu1dISmnpgTyHzpkV4WzphYI5tXpVEevGY8tISWhayyzOhBOmrIwQGYp5axfV7GaVzcfpqxdU4zFSvuB6H51IsRqPwMO9+bkUAkYDo9/BmoVpcHxHz1C2ux8FVuViiz6EKrcbBV7s4MA6qyDimenFgHFz1i+Pi4KvdGxgHV/XewDi4EosC4+BKLgqMg6uGb2Ac1HuxZodiloYgU1rLpu06MA6uasaBcXDVMw6Mg6uicVwcfDWNA+PgqmocGAdXXWM3HCo34HNJD4EIM6JYCgrqVOpQv28vgrkO3YdKFJJefBa9UtlwvLTddu3rlR6XZFgJQ1vikRHvlLmWpCFkGQx+vNNKGJqSeTnmvEKna42lKRs3jc5KGHb7RQNBxsvdkmM2Nid2U+isRKFIrbwk+XsMeGG7aao4l9ykrStRSLLiPYiFtONVkpyU5Wabn0ppJQxZm7DKmiNLQ2DcbyvN6aZRWglDIzM1ZVsuRBhyYbXkofsJc1bDUOLAIBr4nSBDMUvtQT+h1koYtJAzWFGYWQjl2phGmcIqi81UmrQyGBppsw3G23go2I6WxHMsz4QfD6gShrRQXRemCpJHypLk7k2NIOLCMFN11tpomKkkaTUMpbtB/HKQPSFtsCwv4x4K2bAYXJGosvFgkv4kCu2TpEpWRsMsibO9BcwDcYAv7/6+vb3e3l283Ny+UeoARcF/0R6Eqrlx28VP3n0cGHNV9B7Fsp/pwzEOi3nKWY/BgsvrwQNyr9eKNq3t4ppstTg07ccgMU9t7zFIzPI9HacwM9NdlDFRoRuWYJuf/h7GGChmuooxCorn2sY47rhzFBTzXMcYBcU8NzJGQeG6lBE6w/Ldy4gNhetqRmwoCuxrWEaQRj4EPqHKdZpt/jF3hagg9asx2NpSlkXSjhiGCoPg5Dafx0Dhu6sS+oBoE4kV+yeg100i6Z9eWvon+PW6R0WF66ZG7KhwXdaIDYXrvkZsKFxXNmJD4bq1ERsK18WN0FD47m7EhsJ1fSM2FK4bHG5Q1PkMdFoHl837iKDM3uCiAjqh/Nj37HbO9DwKSj1y6jHEXytRED3vgX0f6rCGirAGlH1Laskye2k51qGQW5VesnOdKFoSucQShSQWcQ6DwToU2uIyD1AQF0P4tlkW5H6q+nUo5KWqutjAjwTZYIONfWhLxr6fnn4dCqlE2CcDP/AwEQidLVNdruJwByJpQx6xE2AQSELf8lror3Xh5jmq+FZdMDRa8Fe2/NjTEnx9U/l8vy2/ShSK0YDmFC9vgJosDf8JCUN/49PPRKAOhaxXWHiTpwEK2N1obT0tsyRh4W6GRvxLB2tdIpoBFEA+tFTt7Nw2HStjQXs/I3+GdinsVrDOBHOmqSn0gXbpMmjyuFAptAjD45XAHg/mGJYopEu5ZsIdiVab3Yr4N+fQqCQm11P9YOiCBsPun1Gt8dD1CBvDy+mW8M8j51t3MezWcQd7jhD8xvUIEyYAYVlJ+A1x6lCYKTu90s9xrrT0ulhIMyWk16IwTyp6HQrzJKHXYTBP+nkdBvMkntdhIJ0DtdJHG1zwzoFn41RTpZNIl+ap+V8XCTNlmVeCME9+eSUIJbYolIPyd9jx7S4/lW6xUZ8tavEgF9/hxUhmzywHAVVWmaTNHYR5ssnrjsNMeeSVIMyTQV4Jgi93PGSbUTt8M2mcpDDQVoKynG1nKSQGR2eL7zvM/efxxardm6AcgboyTvZAuuv9hxJqQZc8m1zRFoFsGZzaQzkSi/8mdv3LP2kuDxRIE2uxwmwS5AXL0dw6KJXHlyMe85b0JYfHxMCXFR4TA186eEgMnHngMTHwTRRiYuCbIDhhsH/QD7TDXt18eL9VmmHdosDvJN438xQ68L4t84M+8/u4Gg51IMyU9l0HgmasCOu7+y4xievSsnTwY31XgdB0qrMCbidAYAcHEFZM02U/0ncVCGml3gaAIAKb7N/QmN4JXmznKgzaklI9kZ2hrglWp/E6frf0EkerAiG1qnBCIIDjy0qrhIPlleDH8a0CYaEKJ2b4XoLViWsRMFjyGf24rVUYNMJWHDDY0m47DPOXznL+4kdzrgJBOJYDDEBsxY2AxxFPgyXh3ZHYWgVCp/tJQnJmkVl0nG2F2d14rVUgzJXWWgXCXPmcVSDMlc5ZB4LYDc2O31wHwkwprZUgzJPRWgXCPAmtVRDMk8tZBcE8Kb1VEMyUzVqHwTzJrFUYzJTLWofBPFmcdRjMk8RZh4HqJsHiDt0kpmOQpKNla9WPzVuHwTx5rFUYiGzKgNAsDqBwQTXWkAgaB9rjD+TF0xf/rYsDdR8clcAZcsxwdALn82w9VcWBcEkH6s+iKbOGyyOkRE6Rt9mblj6BizBTreO6OJinyHEdBvNUN67DwJeyGvNd8KWsxsTAl7IaEwPVQ8FOAyjsvAEJ3bkT9amrug+cKash42Ceuy11OVLnS1l1ioOR+z1L9UiKZjGK6BUoKbZbwX3u6gvxVt6rjv3h9l//GX/9SpLGexrI6+3m7u5qe/Fqc/3hb5sf7j7cvr3+8SGP//71F/Tnwd/zl5eLy5FwaJFSwIFyElRe6FKijLBka2VR+zy+8No4MPL6EQ3jNSs5Q6zUsqByY7OOBGNR4vGJoDMInbQYaFhdurFax4HRaEVjlrElXeeOtHylDDVakXRjdo4EY6XyS4CBDUGQ2haQloBSoSEYKQ2uzVgXaFqrRFPorixjmoyPiRvddWRkzJPyOQ6MrEeYQgJGew7HBJsBpneGl8DtODAaOcUDuhcuUDjVNZ9iVyRZkoHXXhTQcWDkrJoULHcrAtAwaDOlyC9kUSlq0pUkJxzol90fkw5gWL4mTlOt5WWvQnt9t7l+s7l9c/HF9v1PdzfvLspbdXmp+PLsmkBjXtqasBVB3t1Ox46KMUB0Isx0qAyOfSqZd2fjNZq8cjkeY4BoFqpwR27RYLfsfqfK8mgsFy5C8aOAkFpjEBFo6PGkq4VCiWUt0snDHfFoZP2Mck5ByhzYKrq0pYLkdVgg2pUq1fkJvRTFeBRklhGxlKs5YkToRwM4ICDEDBkCoJYLRlk8G46PQ++fWr2eX979fXt7vb27eIk3tbCbrkgy3N9LWL0jZw0k3obFaRbjgsiAZM0aAiAk8MQOPMm2DNnZgEUGpFupV5VbnlSxt5AuwNq6YYQkWQWNDEjTqnwLiSfUQtmjCXZdpmqhK2mlRQak1eu7kokj3eA9blPTKrdMfPyl2oiFoc7IuRcMPVlThQO3jHw8IFl27weAIP3gOwSvjKmGYidkt+Mfmd58Qz27//nL9vZq85t+cEXiY2B/iSQEtwcyEPg4WRYpWaRnxAaU/4uP0w5GlbLPE56OhQ4LPC3L3U3aZYxNDJ+W7GNjNA6Kdl1+ZUkCAYNFDE0soRCFypgHJMs/3OCAYFyCmg0wwBDTcsTayiQqJhRtKRelTAMNDbiCGtujNm6dnRFXhe+sWcR5YgZFI32nw/NBbrF4QCASgr7n1PWW/ev5QlSIGIjeH82VeMfdmY3WVRMNJe4At5DtN61dxXowaFBoKoaMVVlBBx0/24xThJtiQtFqxhKP26leBT8HHY2p5+PAFdCt+Tni0mx1rikjVXS7oKsENCxHqi5emeNuiqVKrqT7KRMSmK1bdv38up8jQmKe/U/pszKdSBUf32x++Gnz444USK8m/V8mBHZaiFC4jaw2RWbbU9+P/UvaL8TE1VlqMvqTJbER52MUFjNte44DoyuNlonlyQ0tcsOxLEGyzGYcXtNRkdFIO3OQb6IIEWIj1uYsHxG/ImQUGLnY+01MRUFxCtlOyzmaWxkyDouSoi8VIizfiT745EKkn2jJ0n7UQ5JK5DUqRfiQYEhiSnj1ox6MCgyhY2n2AbItpJzGDRw/9sEoLJrHUnBu91ovVvkxEEaBMdM0fBwWJbXXEycijN2qaaS3pMUN0b3AkhHG7pb5lhOncSwYM/XtHkf9TTK0UmxXanaCeQD2r2UzJ3pkzNK5eFxgzFL6bxwUsxSCHAfFLGVBx0GhF1UxV4drJbd+MSUSKV2jDbzgF+c8xRHHxYV2oIE43slbXY/EYpZiiSOxmKVo4kgsigbY2OVmNRRabLecFwW/POepojguMOappjgSi1mqKo7DYp7qiiOxmKXK4kgsZqk0OBILtWhEOyTsc4ZGOLbxzqggcTYMd5kvj+13av87cH3BUQJdC2rdRHM9n0JVj9qBBQgp6IPzdqLpqD143qkn7cCChJv5vsBuwDndF7NUZxz3jsxQpfGb9WWvovxq8/P23eanh/ngA18te7YrltIgPDLh4qlf7ulm0MmLE+PLi50IZE0tSexRJ9eSbxTryz3dG2J9uTrn7FdAWz9rat2bZsqxvrx0zjtm161o30mmwUZDi1Bf7tpBCPXlmvuBaMdfiHaoAXZI9Wb7m3t2B0L95q4uFLG+3NN3IdaXezoNxPpyT3+BThjoMbJX11qt/5u/GGx1G67YPLFkcRXSD/Wjy35ln7J3RCuJUF/uahwQ6stbkb5Tqia0/4CaBRtTU7O4/Spdk/aHu6cWZb1K98Rz3uhchvXCMotOEl3AsmbZLWPFuN1bWfAZ/Oir3f490bYtaRJN8lAGe+Kv3okYwODTQa/DhiD2wIyFJbuhFcZRRHye+OltUX/i8kWStS9IKFoGfF576LM88dNz6ayTSxKTKq2V35ploE9vupLoHRqRrE9EC26WRPxG5CxiXHNZxMmUmhuJyEKChzSJDDsUCxct9icGfCsXj9Jto6E9dl2hIWH66ZHOequ3W9nChHTasPNMSiKGv/pSntIYAd8UPx1n/UEC1fKGX7qI5D4x4JME9CDgRZ0PZx2XvOWvntIq0M/e6vIFEU/aOXzYiaRjGPFr0ciMEfGpKJ+EkQvLJ3VLW7IBfvZAPZpUvONXLxrc8ayRbmpPtHTZ43/qadccE1bNAvcIIh+QtjDdLkydXB5BQr502rEIIj87tvRtNZGE5RXj03PJgwppfObT3uCXt7zkl5E+Pem2JIuj0T6tmCxZpvFrF7n3Jx72kjkIqZWwBhj6NKYCq52Lps8Tv7yVTxus1yPe2T8pWY/VXT79JYSu9rrzWvTr5h/b24vXH969uypIMOtQEM8DyW8hSD21WXkgXNOTYB7oUhtOJSbhoZfsxdQUiR/6lytb8Ro/uaux8TFXLbTReJSa+7Qzyh4huD8mN/f758VPAWwsHq04XigFXvGZQqF0mn4Ho+/TdlHuDRJtC3jgSjW9Tz1K5inXaVqWLE6RachxyTgxhnW0nxbY2OOSSxJYJMjLs0E8t6YTMj89sLF4tKKzfthjIlVe9gPm5QbD+PCTBBuNR3rEm0yMX5GBmJZjbt5kY/GYqUTv3r9CG3xurj9sru4PxV6fV7v3SZ4u9gcwtrQMjL5C73Hz9BFI6BGUeHCx7CjJu5+kB1ev5H5qTMw1N6+PiSyWjVqXl0WKreVX/bLyEUiUdLzxoFIrE8UJBEctvXNc5rOUf9YD0Ui/TRcm2KWFHC+tUFhmFm7WB/VI7Gx9BnM8MUkRn0/LwbVfDj4CCRGx12q8qEaQfaPVbynf7Zd91yNRmmqTAAEOB7qg0Bm1fEP90u56IHZMukE/GHYYYguCvULTw+GWcNcjMdNUez/D0WnVzYf3W51p67GQZNoo0ZtPE+Yjli+oX6ZdDcRc08tqINp1oadHFQfXXsguTfUj3Vx/e+PNJx6NVjOCxO0XlyWof2j2Wk5Mndx+V/3h2Rfbqw+/bi++2L7/6e7m3cU3vz86K7S+KSwEDZoGWGaYPo6Eo9HIemuXY4O280GgwEzZspPnwxp6OQENlWkCDbCjWeGJOPGW7Zqd48aRGSXj0Wi1jSmYFonvjUwbMaa26Vl6pGHRaEoNrF3PG/cGilPLVZHs4084/qQULQoxAeB0C8aVpjpPSSrAsLGRhGU3qFCRf94bTF1aVqhJyB1h0eiEbqmt0nFvYFSGTTrTF3bhwcsbf4vu2o4DNIiIT/kGWIqmje/O7Rbd/4aD7OtR2/hlKfFChcbdXviDy1KkkTTKyoWpSmFRD4SUomrpkLZxYJSOfpbt+RiMgo6yeTcKiEYLJ/LiqUhDtehnWdL1swiUOVyb9REhWbYahOzGhMg7LY+GXxZeDUQWScQBEEg511SOZPJeM7wjWmFRRoyILGvhamNvR1hDj9P0aPReDZy+Q1AsKZ5jrsus1RhQlIkFNCbH4LpaFmV+iXf14Uh6YxtphHhA87g0m7b/3fKqaiBa/W4wEDItxSav6WjMr/ioBqKRSa7KLckih2mLpv6lrbACI16XaV0qOdp7I1fwvy2PxlIaHxGByHpRQrZjeFECRHhTJlqWTDYiEI1kewOKomg8
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</FILE_DATA>
    <PARAMETER_SHEET_FILE_NAME>xl/worksheets/sheet3.xml</PARAMETER_SHEET_FILE_NAME>
    <TEMPLATE_SHARED_STRINGS>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>0</STRING_ID>
      <STRING>Organization Code</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>1</STRING_ID>
      <STRING>(All)</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>2</STRING_ID>
      <STRING>Cycle Count Name</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>3</STRING_ID>
      <STRING>Subinventory</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>4</STRING_ID>
      <STRING>Class</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>5</STRING_ID>
      <STRING>Positive Hit Miss Tolerance</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>6</STRING_ID>
      <STRING>Negative Hit Miss Tolerance</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>7</STRING_ID>
      <STRING>Total Entries</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>8</STRING_ID>
      <STRING>Out of Tolerance</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>9</STRING_ID>
      <STRING>Accuracy Percentage</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>10</STRING_ID>
      <STRING>A</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>11</STRING_ID>
      <STRING>Class A</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>12</STRING_ID>
      <STRING>Class B</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>13</STRING_ID>
      <STRING>Class C</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>14</STRING_ID>
      <STRING>Class D</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>15</STRING_ID>
      <STRING>Grand Total</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
    </TEMPLATE_SHARED_STRINGS>
    <TEMPLATE_PARAMETER_DEFAULTS>
    </TEMPLATE_PARAMETER_DEFAULTS>
    <TEMPLATE_STYLES>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>A1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>B1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>C1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>D1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>E1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>F1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>G1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>H1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>I</CELL_IDENTIFIER>
      <STYLE_ID>2</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>I1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>J1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>K</CELL_IDENTIFIER>
      <STYLE_ID>2</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>K1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>L1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>M1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>N1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>O1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>P1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>Q1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>R1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>S1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>T1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>A1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>A2</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>A3</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>A4</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>A5</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>A6</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>A7</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B1</CELL_IDENTIFIER>
      <STYLE_ID>3</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B2</CELL_IDENTIFIER>
      <STYLE_ID>3</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B3</CELL_IDENTIFIER>
      <STYLE_ID>2</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B4</CELL_IDENTIFIER>
      <STYLE_ID>3</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B5</CELL_IDENTIFIER>
      <STYLE_ID>3</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B6</CELL_IDENTIFIER>
      <STYLE_ID>3</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B7</CELL_IDENTIFIER>
      <STYLE_ID>3</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
    </TEMPLATE_STYLES>
    <TEMPLATE_SHARING>
     <TEMPLATE_SHARING_ROW>
      <SHARING_LEVEL>S</SHARING_LEVEL>
      <LEVEL_VALUE>Site</LEVEL_VALUE>
     </TEMPLATE_SHARING_ROW>
    </TEMPLATE_SHARING>
    <PARAMETER_EXCLUSION>
    </PARAMETER_EXCLUSION>
   </TEMPLATES_ROW>
  </TEMPLATES>
  <DEFAULT_TEMPLATES>
   <DEFAULT_TEMPLATES_ROW>
    <USER_NAME>ENGINATICS</USER_NAME>
    <TEMPLATE_NAME>Summarized analysis</TEMPLATE_NAME>
   </DEFAULT_TEMPLATES_ROW>
  </DEFAULT_TEMPLATES>
  <UPLOAD_COLUMNS>
  </UPLOAD_COLUMNS>
  <UPLOAD_PARAMETERS>
  </UPLOAD_PARAMETERS>
  <UPLOAD_SQLS>
  </UPLOAD_SQLS>
  <UPLOAD_DEPENDENCIES>
  </UPLOAD_DEPENDENCIES>
 </REPORTS_ROW>
</REPORTS>
</ROOT>