<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: AR Account Number -->
 <LOVS_ROW>
  <GUID>8E2FF36EDE7F79D2E0530100007F1FF2</GUID>
  <LOV_NAME>AR Account Number</LOV_NAME>
  <VALIDATE_FROM_LIST>Y</VALIDATE_FROM_LIST>
  <FILTER_BEFORE_DISPLAY>Y</FILTER_BEFORE_DISPLAY>
  <LOV_QUERY>select
hca.account_number value,
hp.party_name||&apos; (&apos;||initcap(hp.party_type)||&apos;)&apos; description
from
hz_parties hp,
hz_cust_accounts hca
where
hp.party_id=hca.party_id and
(
:$flex$.operating_unit is null or
hca.cust_account_id in (
select
hcasa.cust_account_id
from
hr_all_organization_units_vl haouv,
hz_cust_acct_sites_all hcasa
where
xxen_util.contains(:$flex$.operating_unit,haouv.name)=&apos;Y&apos; and
haouv.organization_id=hcasa.org_id
)
)
order by
hp.party_name</LOV_QUERY>
  <LOV_TRANSLATIONS>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>US</LANGUAGE>
   </LOV_TRANSLATIONS_ROW>
  </LOV_TRANSLATIONS>
 </LOVS_ROW>
<!-- loader xml for Enginatics Blitz Report lov: AR Customer Name -->
 <LOVS_ROW>
  <GUID>8E2FF36EDE8679D2E0530100007F1FF2</GUID>
  <LOV_NAME>AR Customer Name</LOV_NAME>
  <FILTER_BEFORE_DISPLAY>Y</FILTER_BEFORE_DISPLAY>
  <LOV_QUERY>select
hp.party_name value,
hca.account_number||&apos; (&apos;||initcap(hp.party_type)||&apos;)&apos;  description
from
hz_parties hp,
hz_cust_accounts hca
where
hp.party_id=hca.party_id and
(
:$flex$.operating_unit is null or
hca.cust_account_id in (
select
hcasa.cust_account_id
from
hr_all_organization_units_vl haouv,
hz_cust_acct_sites_all hcasa
where
xxen_util.contains(:$flex$.operating_unit,haouv.name)=&apos;Y&apos; and
haouv.organization_id=hcasa.org_id
)
)
order by
hp.party_name</LOV_QUERY>
  <LOV_TRANSLATIONS>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>US</LANGUAGE>
   </LOV_TRANSLATIONS_ROW>
  </LOV_TRANSLATIONS>
 </LOVS_ROW>
<!-- loader xml for Enginatics Blitz Report lov: Country -->
 <LOVS_ROW>
  <GUID>8E2FF36EDE8379D2E0530100007F1FF2</GUID>
  <LOV_NAME>Country</LOV_NAME>
  <VALIDATE_FROM_LIST>Y</VALIDATE_FROM_LIST>
  <LOV_QUERY>select
ftv.territory_short_name value,
ftv.territory_code||&apos;: &apos;||ftv.description description
from
fnd_territories_vl ftv
order by
ftv.territory_short_name</LOV_QUERY>
  <LOV_TRANSLATIONS>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>US</LANGUAGE>
   </LOV_TRANSLATIONS_ROW>
  </LOV_TRANSLATIONS>
 </LOVS_ROW>
<!-- loader xml for Enginatics Blitz Report lov: HR Operating Unit -->
 <LOVS_ROW>
  <GUID>8E2FF36EDEB979D2E0530100007F1FF2</GUID>
  <LOV_NAME>HR Operating Unit</LOV_NAME>
  <VALIDATE_FROM_LIST>Y</VALIDATE_FROM_LIST>
  <LOV_QUERY>select
hou.name value,
null description
from
hr_operating_units hou
where
sysdate between hou.date_from and nvl(hou.date_to,sysdate) and
(:$flex$.ledger is null or hou.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
hou.organization_id 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)
order by
hou.name</LOV_QUERY>
  <VERSION_COMMENTS>Fixed where clause duplication</VERSION_COMMENTS>
  <LOV_TRANSLATIONS>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>AR</LANGUAGE>
    <DESCRIPTION>وحدة التشغيل مقيدة بالتحكم في الوصول متعدد المنظمات (MOAC)</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>D</LANGUAGE>
    <DESCRIPTION>Bedieneinheit eingeschränkt durch Multi Org Access Control (MOAC)</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>E</LANGUAGE>
    <DESCRIPTION>Unidad operativa restringida por el control de acceso multiorgánico (MOAC)</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>F</LANGUAGE>
    <DESCRIPTION>Unité opérationnelle restreinte par un contrôle d&apos;accès multi-organismes (MOAC)</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>I</LANGUAGE>
    <DESCRIPTION>Unità operativa limitata dal controllo di accesso multiorgano (MOAC)</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>JA</LANGUAGE>
    <DESCRIPTION>多機関アクセス制御(MOAC)で制限された操作ユニット</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>KO</LANGUAGE>
    <DESCRIPTION>다중 조직 액세스 제어 (MOAC)에 의해 제한되는 운영 단위</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>PTB</LANGUAGE>
    <DESCRIPTION>Unidade operacional restrita por controle de acesso multi org (MOAC)</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>RU</LANGUAGE>
    <DESCRIPTION>Операционное устройство, ограниченное мультиорганизованным контролем доступа (MOAC)</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>S</LANGUAGE>
    <DESCRIPTION>Styrenhet begränsad av multi-org access control (MOAC)</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>TR</LANGUAGE>
    <DESCRIPTION>Çoklu kuruluş erişim kontrolü (MOAC) tarafından kısıtlanan işletim birimi</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>US</LANGUAGE>
    <DESCRIPTION>Operating unit restricted by multi org access control (MOAC)</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>ZHS</LANGUAGE>
    <DESCRIPTION>受多机构访问控制（MOAC）限制的操作单元。</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
  </LOV_TRANSLATIONS>
 </LOVS_ROW>
<!-- loader xml for Enginatics Blitz Report lov: INV Category Set -->
 <LOVS_ROW>
  <GUID>8E2FF36EDECA79D2E0530100007F1FF2</GUID>
  <LOV_NAME>INV Category Set</LOV_NAME>
  <VALIDATE_FROM_LIST>Y</VALIDATE_FROM_LIST>
  <LOV_QUERY>select distinct
mcsv.category_set_name value,
mcsv.description
from
mtl_category_sets_vl mcsv
where
:$flex$.organization_code is null or
mcsv.category_set_id in (select mic.category_set_id from mtl_parameters mp, mtl_item_categories mic where xxen_util.contains(:$flex$.organization_code,mp.organization_code)=&apos;Y&apos; and mp.organization_id=mic.organization_id)
order by
mcsv.category_set_name</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 Item -->
 <LOVS_ROW>
  <GUID>8E2FF36EDEF179D2E0530100007F1FF2</GUID>
  <LOV_NAME>INV Item</LOV_NAME>
  <VALIDATE_FROM_LIST>Y</VALIDATE_FROM_LIST>
  <FILTER_BEFORE_DISPLAY>Y</FILTER_BEFORE_DISPLAY>
  <LOV_QUERY>select
msiv.concatenated_segments value,
msiv.description||&apos; (&apos;||mp.organization_code||&apos;)&apos; description
from
mtl_system_items_vl msiv,
mtl_parameters mp
where
(
:$flex$.organization_code is null and (
fnd_profile.value(&apos;MFG_ORGANIZATION_ID&apos;) is null and msiv.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
msiv.organization_id=fnd_profile.value(&apos;MFG_ORGANIZATION_ID&apos;)
) or
xxen_util.contains(:$flex$.organization_code,mp.organization_code)=&apos;Y&apos;
) and
msiv.organization_id=mp.organization_id
order by
mp.organization_code,
msiv.concatenated_segments</LOV_QUERY>
  <LOV_TRANSLATIONS>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>US</LANGUAGE>
    <DESCRIPTION>Inventory items, restricted to the accessible inventory organizations</DESCRIPTION>
   </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>
<!-- loader xml for Enginatics Blitz Report lov: ONT Line Status -->
 <LOVS_ROW>
  <GUID>8E2FF36EDF0A79D2E0530100007F1FF2</GUID>
  <LOV_NAME>ONT Line Status</LOV_NAME>
  <VALIDATE_FROM_LIST>Y</VALIDATE_FROM_LIST>
  <LOV_QUERY>select
flvv.meaning value,
flvv.lookup_code description
from
fnd_lookup_values_vl flvv
where
flvv.lookup_type=&apos;LINE_FLOW_STATUS&apos; and
flvv.view_application_id=660 and
flvv.security_group_id=0
order by
flvv.meaning</LOV_QUERY>
  <LOV_TRANSLATIONS>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>US</LANGUAGE>
   </LOV_TRANSLATIONS_ROW>
  </LOV_TRANSLATIONS>
 </LOVS_ROW>
<!-- loader xml for Enginatics Blitz Report lov: ONT Order Status -->
 <LOVS_ROW>
  <GUID>8E2FF36EDF0979D2E0530100007F1FF2</GUID>
  <LOV_NAME>ONT Order Status</LOV_NAME>
  <VALIDATE_FROM_LIST>Y</VALIDATE_FROM_LIST>
  <LOV_QUERY>select
flvv.meaning value,
flvv.lookup_code description
from
fnd_lookup_values_vl flvv
where
flvv.lookup_type=&apos;FLOW_STATUS&apos; and
flvv.view_application_id=660 and
flvv.security_group_id=0
order by
flvv.meaning</LOV_QUERY>
  <LOV_TRANSLATIONS>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>US</LANGUAGE>
   </LOV_TRANSLATIONS_ROW>
  </LOV_TRANSLATIONS>
 </LOVS_ROW>
<!-- loader xml for Enginatics Blitz Report lov: PA Project Number -->
 <LOVS_ROW>
  <GUID>8E2FF36EDEDB79D2E0530100007F1FF2</GUID>
  <LOV_NAME>PA Project Number</LOV_NAME>
  <VALIDATE_FROM_LIST>Y</VALIDATE_FROM_LIST>
  <FILTER_BEFORE_DISPLAY>Y</FILTER_BEFORE_DISPLAY>
  <LOV_QUERY>select
ppa.project_number value,
ppa.project_type||&apos;: &apos;||ppa.name description
from
(
select ppa.segment1 project_number, ppa.name, ppa.project_type, ppa.org_id, ppa.creation_date from pa_projects_all ppa union all
select psm.project_number, psm.project_name, &apos;PJM Seiban&apos; project_type, psm.operating_unit, psm.creation_date from pjm_seiban_numbers psm
) ppa,
hr_all_organization_units_vl haouv
where
(
xxen_util.contains(:$flex$.operating_unit,haouv.name)=&apos;Y&apos; or
:$flex$.operating_unit is null and ppa.org_id 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
ppa.org_id=haouv.organization_id
order by
ppa.creation_date desc,
ppa.project_number desc</LOV_QUERY>
  <LOV_TRANSLATIONS>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>US</LANGUAGE>
   </LOV_TRANSLATIONS_ROW>
  </LOV_TRANSLATIONS>
 </LOVS_ROW>
<!-- loader xml for Enginatics Blitz Report lov: PA Task Number (project dependent) -->
 <LOVS_ROW>
  <GUID>8E2FF36EDEE979D2E0530100007F1FF2</GUID>
  <LOV_NAME>PA Task Number (project dependent)</LOV_NAME>
  <VALIDATE_FROM_LIST>Y</VALIDATE_FROM_LIST>
  <LOV_QUERY>select
pt.task_number value,
pt.task_name||&apos;: &apos;||pt.description description
from
pa_tasks pt,
(
select ppa.project_id, ppa.segment1 project_number from pa_projects_all ppa union all
select psm.project_id, psm.project_number from pjm_seiban_numbers psm
) ppa
where
ppa.project_number=:$flex$.project and
pt.project_id=ppa.project_id
order by
pt.task_number</LOV_QUERY>
  <LOV_TRANSLATIONS>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>US</LANGUAGE>
   </LOV_TRANSLATIONS_ROW>
  </LOV_TRANSLATIONS>
 </LOVS_ROW>
<!-- loader xml for Enginatics Blitz Report lov: Yes -->
 <LOVS_ROW>
  <GUID>8E2FF36EDEA679D2E0530100007F1FF2</GUID>
  <LOV_NAME>Yes</LOV_NAME>
  <VALIDATE_FROM_LIST>Y</VALIDATE_FROM_LIST>
  <LOV_QUERY>select &apos;Y&apos; id, xxen_util.meaning(&apos;Y&apos;,&apos;YES_NO&apos;,0) value, null description from dual</LOV_QUERY>
  <LOV_TRANSLATIONS>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>US</LANGUAGE>
   </LOV_TRANSLATIONS_ROW>
  </LOV_TRANSLATIONS>
 </LOVS_ROW>
</LOVS>
<REPORTS>
<!-- loader xml for Enginatics Blitz Report: ONT Orders and Lines -->
 <REPORTS_ROW>
  <GUID>49A8B1A8037A08ACE0530100007FEB91</GUID>
  <SQL_TEXT>select
x.operating_unit,
x.customer,
x.customer_number,
x.order_number,
x.quote_number,
x.source_type,
x.source_document,
x.type,
x.order_type,
x.customer_po,
hp1.party_name ship_to_customer,
hca1.account_number ship_to_customer_number,
hcsua1.location ship_to_location,
(select hz_format_pub.format_address(hps1.location_id,null,null,&apos; , &apos;) from dual) ship_to_address,
ftv1.territory_short_name ship_to_country,
coalesce(hcsua1.tax_reference,hp1.tax_reference,hp1.jgzz_fiscal_code) ship_to_tax_reference,
hp2.party_name bill_to_customer,
hca2.account_number bill_to_customer_number,
hcsua2.location bill_to_location,
(select hz_format_pub.format_address(hps2.location_id,null,null,&apos; , &apos;) from dual) bill_to_address,
ftv2.territory_short_name bill_to_country,
coalesce(hcsua2.tax_reference,hp2.tax_reference,hp2.jgzz_fiscal_code) bill_to_tax_reference,
x.ordered_date,
x.price_list,
x.salesperson,
x.invoice_salesperson,
x.order_source,
x.order_source_reference,
x.header_status,
x.currency,
x.subtotal,
x.tax,
nvl(x.line_charges_total,0) + nvl(x.header_charges,0) charges,
nvl(x.subtotal,0) + nvl(x.tax,0) + nvl(x.line_charges_total,0) + nvl(x.header_charges,0) total,
x.payment_terms,
x.invoice_class,
x.invoice_type,
x.invoice_number,
x.invoice_date,
x.invoice_gl_date,
x.invoice_status,
x.invoice_currency,
x.invoice_line,
case when row_number() over (partition by x.line_id order by wnd.name nulls last) = 1 then x.invoice_amount else null end invoice_amount,
case when row_number() over (partition by x.line_id order by wnd.name nulls last) = 1 then x.invoice_accounted_amount else null end invoice_accounted_amount,
x.warehouse,
x.shipping_method,
x.line_set,
x.freight_terms,
x.fob,
x.shipment_priority,
x.shipping_instructions,
x.packing_instructions,
x.payment_type,
x.line,
x.shipment_number,
x.line_type,
x.line_status,
x.cancelled_flag,
x.cancel_date,
x.cancelled_by,
x.cancel_reason,
case when row_number() over (partition by x.line_id order by wnd.name nulls last) = 1 then x.cancelled_quantity else null end cancelled_quantity,
case when row_number() over (partition by x.line_id order by wnd.name nulls last) = 1 then x.cancelled_amount else null end cancelled_amount,
x.item,
x.description,
x.item_type,
&amp;category_columns
x.uom,
x.list_price,
x.discounted_price,
x.unit_selling_price,
case when row_number() over (partition by x.line_id order by wnd.name nulls last) = 1 then x.quantity else null end quantity,
case when row_number() over (partition by x.line_id order by wnd.name nulls last) = 1 then x.extended_price else null end extended_price,
case when row_number() over (partition by x.line_id order by wnd.name nulls last) = 1 then x.line_charges else null end line_charges,
case when row_number() over (partition by x.line_id order by wnd.name nulls last) = 1 then x.tax_amount else null end tax_amount,
x.tax_code,
x.calculate_price_flag,
case when row_number() over (partition by x.line_id order by wnd.name nulls last) = 1 then x.pricing_quantity else null end pricing_quantity,
x.pricing_uom,
x.pricing_date,
x.request_date,
x.promise_date,
x.schedule_ship_date,
x.override_atp_date_code,
x.actual_shipment_date,
case when row_number() over (partition by x.line_id order by wnd.name nulls last) = 1 then x.shipped_quantity else null end shipped_quantity,
case when row_number() over (partition by x.line_id order by wnd.name nulls last) = 1 then x.invoiced_quantity else null end invoiced_quantity,
x.shippable_flag,
x.ship_set,
wnd.name delivery,
wda.next_step,
wda.release_status,
x.project,
x.task,
&amp;dff_columns2
x.header_created_by,
x.header_creation_date,
x.header_last_updated_by,
x.header_last_update_date,
x.line_created_by,
x.line_creation_date,
x.line_last_updated_by,
x.line_last_update_date,
x.order_category,
x.line_category,
x.header_id,
x.line_id,
x.line_number,
x.line_days_late,
x.line_quantity_short,
xxen_util.meaning(x.line_shipped_flag,&apos;YES_NO&apos;,0) line_shipped,
x.order_date_type_code,
x.split_line,
x.orig_line_id,
x.orig_line_promise_date,
case when row_number() over (partition by x.line_id order by wnd.name nulls last) = 1 and x.line_id = x.orig_line_id then x.orig_line_quantity else null end orig_line_quantity,
x.orig_line_delivery_lead_time,
x.orig_line_actual_shipment_date,
case when row_number() over (partition by x.line_id order by wnd.name nulls last) = 1 and x.line_id = x.orig_line_id then x.orig_line_tot_shipped_quantity else null end orig_line_tot_shipped_quantity,
nvl(xxen_util.meaning(x.deliv_in_full,&apos;YES_NO&apos;,0),&apos;N/A&apos;) line_dif,
nvl(xxen_util.meaning(x.deliv_on_time,&apos;YES_NO&apos;,0),&apos;N/A&apos;) line_dot,
nvl(xxen_util.meaning(decode(x.deliv_in_full||x.deliv_on_time,null,null,&apos;YY&apos;,&apos;Y&apos;,&apos;N&apos;),&apos;YES_NO&apos;,0),&apos;N/A&apos;) line_difot,
nvl(xxen_util.meaning(min(x.deliv_in_full) over (partition by x.header_id),&apos;YES_NO&apos;,0),&apos;N/A&apos;) orders_dif,
nvl(xxen_util.meaning(min(x.deliv_on_time) over (partition by x.header_id),&apos;YES_NO&apos;,0),&apos;N/A&apos;) orders_dot,
nvl(xxen_util.meaning(decode(min(x.deliv_in_full) over (partition by x.header_id)||min(x.deliv_on_time) over (partition by x.header_id),null,null,&apos;YY&apos;,&apos;Y&apos;,&apos;N&apos;),&apos;YES_NO&apos;,0),&apos;N/A&apos;) orders_difot
from
(
select /*+ push_pred(oolh) push_pred(oolh2) push_pred(wda) */ distinct
haouv.name operating_unit,
hp.party_name customer,
hca.account_number customer_number,
ooha.order_number,
nvl(ooha.quote_number,regexp_substr(ooha.orig_sys_document_ref,&apos;^(\d+).&apos;,1,1,null,1)) quote_number,
decode(ooha.source_document_type_id,10,&apos;Requisitions&apos;,2,&apos;Orders&apos;,16,&apos;Quotes&apos;,7,&apos;Incidents&apos;,(select oos0.name from oe_order_sources oos0 where ooha.source_document_type_id=oos0.order_source_id)) source_type,
case ooha.source_document_type_id
when 10 then (select prha.segment1 from po_requisition_headers_all prha where ooha.source_document_id=prha.requisition_header_id)
when 2 then (select to_char(ooha0.order_number) from oe_order_headers_all ooha0 where ooha.source_document_id=ooha0.header_id)
when 16 then (select aqha.quote_number||&apos;:&apos;||aqha.quote_version from aso_quote_headers_all aqha where ooha.source_document_id=aqha.quote_header_id)
when 7 then (select ciab.incident_number from cs_incidents_all_b ciab where ooha.source_document_id=ciab.incident_id)
end source_document,
decode(ooha.transaction_phase_code,&apos;N&apos;,&apos;Quote&apos;,&apos;Order&apos;) type,
ottt.name order_type,
nvl(oola.cust_po_number,ooha.cust_po_number) customer_po,
xxen_util.client_time(ooha.ordered_date) ordered_date,
(select qlhv.name from qp_list_headers_vl qlhv where ooha.price_list_id=qlhv.list_header_id) price_list,
jrrev.resource_name salesperson,
max(jrrev2.resource_name) keep (dense_rank last order by rcta.customer_trx_id) over (partition by rctla.interface_line_attribute6) invoice_salesperson,
oos.name order_source,
ooha.orig_sys_document_ref order_source_reference,
xxen_util.meaning(ooha.flow_status_code,&apos;FLOW_STATUS&apos;,660) header_status,
ooha.transactional_curr_code currency,
oola.ord_subtotal subtotal,
oola.ord_tax tax,
oola.ord_line_charges_total line_charges_total,
(select sum(decode(opa.credit_or_charge_flag,&apos;C&apos;,-1,1)*opa.operand) from oe_price_adjustments opa where ooha.header_id=opa.header_id and opa.line_id is null and opa.list_line_type_code=&apos;FREIGHT_CHARGE&apos; and opa.applied_flag=&apos;Y&apos;) header_charges,
(select rtv.name from ra_terms_vl rtv where nvl(oola.payment_term_id,ooha.payment_term_id)=rtv.term_id) payment_terms,
xxen_util.meaning(max(rctta.type) keep (dense_rank last order by rcta.customer_trx_id) over (partition by rctla.interface_line_attribute6),&apos;INV/CM/ADJ&apos;,222) invoice_class,
max(rctta.name) keep (dense_rank last order by rcta.customer_trx_id) over (partition by rctla.interface_line_attribute6) invoice_type,
max(rcta.trx_number) keep (dense_rank last order by rcta.customer_trx_id) over (partition by rctla.interface_line_attribute6) invoice_number,
max(rcta.trx_date) keep (dense_rank last order by rcta.customer_trx_id) over (partition by rctla.interface_line_attribute6) invoice_date,
max(rctlgda0.gl_date) keep (dense_rank last order by rcta.customer_trx_id) over (partition by rctla.interface_line_attribute6) invoice_gl_date,
xxen_util.meaning(max(rcta.status_trx) keep (dense_rank last order by rcta.customer_trx_id) over (partition by rctla.interface_line_attribute6),&apos;PAYMENT_SCHEDULE_STATUS&apos;,222) invoice_status,
(select /*+ push_pred(x) */ distinct
 listagg(x.line_number,&apos;, &apos;) within group (order by x.line_number) over ()
 from
 (select
  rctla.interface_line_context,
  rctla.interface_line_attribute6,
  rctla.line_number,
  sum(lengthb(rctla.line_number)+2) over (partition by rctla.interface_line_attribute6 order by rctla.line_number rows between unbounded preceding and current row) len
  from
  ra_customer_trx_lines_all rctla
  where
  rctla.line_type != &apos;FREIGHT&apos;
 ) x
 where
 x.interface_line_context in (&apos;INTERCOMPANY&apos;,&apos;ORDER ENTRY&apos;) and
 x.interface_line_attribute6=to_char(oola.line_id) and
 x.len &lt;= 4000
) invoice_line,
sum(rctla.extended_amount) over (partition by rctla.interface_line_attribute6) invoice_amount,
max(rcta.invoice_currency_code) keep (dense_rank last order by rcta.customer_trx_id) over (partition by rctla.interface_line_attribute6) invoice_currency,
sum(rctlgda.acctd_amount) over (partition by rctla.interface_line_attribute6) invoice_accounted_amount,
(select mp.organization_code from mtl_parameters mp where nvl(oola.ship_from_org_id,ooha.ship_from_org_id)=mp.organization_id) warehouse,
(select wcv.carrier_name from wsh_carriers_v wcv where oola.freight_carrier_code=wcv.freight_code) freight_carrier,
xxen_util.meaning(nvl(oola.shipping_method_code,ooha.shipping_method_code),&apos;SHIP_METHOD&apos;,3) shipping_method,
xxen_util.meaning(ooha.customer_preference_set_code,&apos;REQUEST_DATE_TYPE&apos;,660) line_set,
xxen_util.meaning(nvl(oola.freight_terms_code,ooha.freight_terms_code),&apos;FREIGHT_TERMS&apos;,660) freight_terms,
xxen_util.meaning(nvl(oola.fob_point_code,ooha.fob_point_code),&apos;FOB&apos;,222) fob,
xxen_util.meaning(nvl(oola.shipment_priority_code,ooha.shipment_priority_code),&apos;SHIPMENT_PRIORITY&apos;,660) shipment_priority,
nvl(oola.shipping_instructions,ooha.shipping_instructions) shipping_instructions,
nvl(oola.packing_instructions,ooha.packing_instructions) packing_instructions,
xxen_util.meaning(nvl(oola.payment_type_code,ooha.payment_type_code),&apos;PAYMENT TYPE&apos;,660) payment_type,
rtrim(oola.line_number||&apos;.&apos;||oola.shipment_number||&apos;.&apos;||oola.option_number||&apos;.&apos;||oola.component_number||&apos;.&apos;||oola.service_number,&apos;.&apos;) line,
ottt2.name line_type,
xxen_util.meaning(oola.flow_status_code,&apos;LINE_FLOW_STATUS&apos;,660) line_status,
msiv.concatenated_segments item,
msiv.description,
xxen_util.meaning(oola.item_type_code,&apos;ITEM_TYPE&apos;,660) item_type,
oola.ordered_quantity quantity,
oola.order_quantity_uom uom,
oola.unit_list_price list_price,
oola.discounted_price,
oola.unit_selling_price,
oola.extended_price,
oola.line_charges,
oola.tax_code,
oola.tax_amount,
xxen_util.meaning(oola.calculate_price_flag,&apos;CALCULATE_PRICE_FLAG&apos;,660) calculate_price_flag,
oola.pricing_quantity,
oola.pricing_quantity_uom pricing_uom,
oola.pricing_date,
xxen_util.client_time(oola.request_date) request_date,
xxen_util.client_time(oola.promise_date) promise_date,
xxen_util.client_time(oola.schedule_ship_date) schedule_ship_date,
xxen_util.meaning(oola.override_atp_date_code,&apos;OVERRIDE_ATP_DATE_CODE&apos;,660) override_atp_date_code,
xxen_util.client_time(oola.actual_shipment_date) actual_shipment_date,
oola.shipped_quantity,
oola.invoiced_quantity,
xxen_util.yes(oola.shippable_flag) shippable_flag,
(select os.set_name from oe_sets os where oola.ship_set_id=os.set_id) ship_set,
xxen_util.meaning(case when ooha.cancelled_flag=&apos;Y&apos; or oola.cancelled_flag=&apos;Y&apos; then &apos;Y&apos; end,&apos;YES_NO&apos;,0) cancelled_flag,
xxen_util.client_time(oolh.hist_creation_date) cancel_date,
xxen_util.user_name(oolh.hist_created_by) cancelled_by,
xxen_util.meaning(oer.reason_code,&apos;CANCEL_CODE&apos;,660) cancel_reason,
decode(oola.cancelled_flag,&apos;Y&apos;,oola.cancelled_quantity) cancelled_quantity,
decode(oola.cancelled_flag,&apos;Y&apos;,oola.cancelled_quantity)*oola.unit_selling_price cancelled_amount,
ppa.project_number project,
pt.task_number task,
&amp;dff_columns
xxen_util.user_name(ooha.created_by) header_created_by,
xxen_util.client_time(ooha.creation_date) header_creation_date,
xxen_util.user_name(ooha.last_updated_by) header_last_updated_by,
xxen_util.client_time(ooha.last_update_date) header_last_update_date,
xxen_util.user_name(oola.created_by) line_created_by,
xxen_util.client_time(oola.creation_date) line_creation_date,
xxen_util.user_name(oola.last_updated_by) line_last_updated_by,
xxen_util.client_time(oola.last_update_date) line_last_update_date,
xxen_util.meaning(ooha.order_category_code,&apos;ORDER_CATEGORY&apos;,660) order_category,
xxen_util.meaning(oola.line_category_code,&apos;ORDER_CATEGORY&apos;,660) line_category,
ooha.header_id,
oola.line_number,
oola.shipment_number,
oola.option_number,
oola.component_number,
oola.service_number,
oola.line_id,
nvl(oola.ship_to_org_id,ooha.ship_to_org_id) ship_to_org_id,
nvl(oola.invoice_to_org_id,ooha.invoice_to_org_id) invoice_to_org_id,
ooha.order_date_type_code,
oola.split_line,
oola.orig_line_id_ orig_line_id,
case
when oola.ordered_quantity&lt;=0 or oola.is_shippable=&apos;N&apos; then null
when oola.shipped_quantity&lt;0 then &apos;Y&apos;
else &apos;N&apos;
end line_shipped_flag,
case when oola.ordered_quantity&gt;0 and oola.is_shippable=&apos;Y&apos; then greatest(trunc(decode(nvl(ooha.order_date_type_code,&apos;SHIP&apos;),&apos;SHIP&apos;,nvl(oola.actual_shipment_date,sysdate),nvl(oola.actual_shipment_date,sysdate) + nvl(oola.delivery_lead_time,0)))-trunc(oola.promise_date),0) end line_days_late,
case when oola.ordered_quantity&gt;0 and oola.is_shippable=&apos;Y&apos; then greatest(oola.ordered_quantity-nvl(oola.shipped_quantity,0),0) end line_quantity_short,
coalesce(oolh2.delivery_lead_time,oola2.delivery_lead_time,oola.delivery_lead_time,0) orig_line_delivery_lead_time,
xxen_util.client_time(trunc(coalesce(oolh2.promise_date,oola2.promise_date,oola.promise_date))) orig_line_promise_date,
oola.orig_line_quantity,
xxen_util.client_time(trunc(coalesce(oolh2.actual_shipment_date,oola2.actual_shipment_date,oola.actual_shipment_date))) orig_line_actual_shipment_date,
oola.orig_line_tot_shipped_quantity,
case
when oola.orig_line_quantity&lt;=0 or oola.is_shippable=&apos;N&apos; then null
when oola.orig_line_quantity&lt;=nvl(oola.orig_line_tot_shipped_quantity,0) then &apos;Y&apos;
else &apos;N&apos;
end deliv_in_full,
case
when oola.orig_line_quantity&lt;=0 or oola.is_shippable=&apos;N&apos; then null
when trunc(coalesce(oolh2.actual_shipment_date,oola2.actual_shipment_date,oola.actual_shipment_date,coalesce(oolh2.promise_date,oola2.promise_date,oola.promise_date)+1))
     + decode(nvl(ooha.order_date_type_code,&apos;SHIP&apos;),&apos;SHIP&apos;,0,nvl(coalesce(oolh2.delivery_lead_time,oola2.delivery_lead_time,oola.delivery_lead_time),0))
     &lt;= trunc(coalesce(oolh2.promise_date,oola2.promise_date,oola.promise_date))
then &apos;Y&apos;
else &apos;N&apos;
end deliv_on_time,
oola.inventory_item_id,
oola.ship_from_org_id
from
hr_all_organization_units_vl haouv,
oe_order_headers_all ooha,
(
select
nvl(oola.orig_line_id,oola.line_id) orig_line_id_,
sum(oola.ordered_quantity) over (partition by nvl(oola.orig_line_id,oola.line_id)) orig_line_quantity,
sum(oola.shipped_quantity) over (partition by nvl(oola.orig_line_id,oola.line_id)) orig_line_tot_shipped_quantity,
sum(decode(oola.cancelled_flag,&apos;N&apos;,oola.extended_price)) over (partition by oola.header_id) ord_subtotal,
sum(decode(oola.cancelled_flag,&apos;N&apos;,oola.tax_amount)) over (partition by oola.header_id) ord_tax,
sum(decode(oola.cancelled_flag,&apos;N&apos;,oola.line_charges)) over (partition by oola.header_id) ord_line_charges_total,
oola.*
from
(
select
nvl(
(select sum(decode(opa.credit_or_charge_flag,&apos;C&apos;,-1,1)*opa.operand) from oe_price_adjustments opa where oola.line_id=opa.line_id and opa.arithmetic_operator=&apos;NEWPRICE&apos; and opa.list_line_type_code=&apos;DIS&apos; and opa.applied_flag=&apos;Y&apos;), --new price
oola.unit_list_price-
nvl(oola.unit_list_price*(select sum(decode(opa.credit_or_charge_flag,&apos;C&apos;,-1,1)*opa.operand)/100 from oe_price_adjustments opa where oola.line_id=opa.line_id and opa.arithmetic_operator=&apos;%&apos; and opa.list_line_type_code=&apos;DIS&apos; and opa.applied_flag=&apos;Y&apos;),0)- --percentage discount
nvl((select sum(decode(opa.credit_or_charge_flag,&apos;C&apos;,-1,1)*opa.operand) from oe_price_adjustments opa where oola.line_id=opa.line_id and opa.arithmetic_operator=&apos;AMT&apos; and opa.list_line_type_code=&apos;DIS&apos; and opa.applied_flag=&apos;Y&apos;),0) --absolute amount discount
) discounted_price,
decode(oola.line_category_code,&apos;RETURN&apos;,-1,1)*oola.unit_selling_price*oola.ordered_quantity extended_price,
decode(oola.line_category_code,&apos;RETURN&apos;,-1,1)*oola.tax_value tax_amount,
(
select
sum(decode(opa.credit_or_charge_flag,&apos;C&apos;,-1,1)*decode(opa.arithmetic_operator,&apos;LUMPSUM&apos;,case when oola.ordered_quantity&gt;0 then opa.operand end,oola.ordered_quantity*opa.adjusted_amount)) line_charges
from
oe_price_adjustments opa
where
oola.line_id=opa.line_id and
opa.list_line_type_code=&apos;FREIGHT_CHARGE&apos; and
opa.applied_flag=&apos;Y&apos;
) line_charges,
max(oola.open_flag) over (partition by oola.header_id) max_open_flag,
sum(decode(oola.line_category_code,&apos;ORDER&apos;,oola.shipped_quantity,0)) over (partition by oola.header_id) ord_shipped_qty,
case when oola.shippable_flag=&apos;Y&apos; and oola.line_category_code&lt;&gt;&apos;RETURN&apos; and oola.cancelled_flag=&apos;N&apos; then &apos;Y&apos; end is_shippable,
xxen_util.meaning(nvl2(oola.split_from_line_id,&apos;Y&apos;,null),&apos;YES_NO&apos;,0) split_line,
case when oola.split_from_line_id is not null then xxen_util.orig_order_line_id(oola.split_from_line_id) end orig_line_id,
oola.*
from
oe_order_lines_all oola
where
2=2 and
oola.org_id 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)
) oola
) oola,
oe_transaction_types_tl ottt,
oe_transaction_types_tl ottt2,
mtl_system_items_vl msiv,
hz_cust_accounts hca,
hz_parties hp,
oe_order_sources oos,
jtf_rs_salesreps jrs,
jtf_rs_salesreps jrs2,
jtf_rs_resource_extns_vl jrrev,
jtf_rs_resource_extns_vl jrrev2,
(
select ppa.project_id, ppa.segment1 project_number from pa_projects_all ppa union
select psm.project_id, psm.project_number from pjm_seiban_numbers psm
) ppa,
pa_tasks pt,
ra_customer_trx_lines_all rctla,
ra_customer_trx_all rcta,
ra_cust_trx_types_all rctta,
(select rctlgda.* from ra_cust_trx_line_gl_dist_all rctlgda where rctlgda.account_class=&apos;REC&apos; and rctlgda.latest_rec_flag=&apos;Y&apos;) rctlgda0,
(select rctlgda.customer_trx_line_id, sum(rctlgda.acctd_amount) acctd_amount from ra_cust_trx_line_gl_dist_all rctlgda where rctlgda.account_set_flag=&apos;N&apos; group by rctlgda.customer_trx_line_id) rctlgda,
(
select distinct
oolh.line_id,
min(oolh.hist_creation_date) over (partition by oolh.line_id) hist_creation_date,
min(oolh.hist_created_by) keep (dense_rank first order by oolh.hist_creation_date) over (partition by oolh.line_id) hist_created_by,
min(oolh.reason_id) keep (dense_rank first order by oolh.hist_creation_date) over (partition by oolh.line_id) reason_id
from
oe_order_lines_history oolh
where
oolh.hist_type_code=&apos;CANCELLATION&apos;
) oolh,
(
select distinct
oolh.line_id,
min(oolh.delivery_lead_time) keep (dense_rank first order by oolh.hist_creation_date) over (partition by oolh.line_id) delivery_lead_time,
min(oolh.promise_date) keep (dense_rank first order by oolh.hist_creation_date) over (partition by oolh.line_id) promise_date,
min(oolh.actual_shipment_date) keep (dense_rank first order by oolh.hist_creation_date) over (partition by oolh.line_id) actual_shipment_date
from
oe_order_lines_history oolh
) oolh2,
oe_reasons oer,
oe_order_lines_all oola2
where
1=1 and
haouv.organization_id=ooha.org_id and
ooha.sold_to_org_id=hca.cust_account_id(+) and
hca.party_id=hp.party_id(+) and
ooha.order_type_id=ottt.transaction_type_id(+) and
ottt.language(+)=userenv(&apos;lang&apos;) and
ooha.order_source_id=oos.order_source_id(+) and
ooha.header_id=oola.header_id(+) and
oola.line_type_id=ottt2.transaction_type_id(+) and
ottt2.language(+)=userenv(&apos;lang&apos;) and
oola.inventory_item_id=msiv.inventory_item_id(+) and
oola.ship_from_org_id=msiv.organization_id(+) and
ooha.salesrep_id=jrs.salesrep_id(+) and
ooha.org_id=jrs.org_id(+) and
jrs.resource_id=jrrev.resource_id(+) and
oola.project_id=ppa.project_id(+) and
oola.task_id=pt.task_id(+) and
to_char(oola.line_id)=rctla.interface_line_attribute6(+) and
rctla.interface_line_context(+) in (&apos;INTERCOMPANY&apos;,&apos;ORDER ENTRY&apos;) and
rctla.customer_trx_id=rcta.customer_trx_id(+) and
rcta.cust_trx_type_id=rctta.cust_trx_type_id(+) and
rcta.org_id=rctta.org_id(+) and
rcta.customer_trx_id=rctlgda0.customer_trx_id(+) and
rctla.customer_trx_line_id=rctlgda.customer_trx_line_id(+) and
rcta.primary_salesrep_id=jrs2.salesrep_id(+) and
rcta.org_id=jrs2.org_id(+) and
jrs2.resource_id=jrrev2.resource_id(+) and
oola.line_id=oolh.line_id(+) and
oolh.reason_id=oer.reason_id(+) and
oola.orig_line_id=oola2.line_id(+) and
oola.orig_line_id=oolh2.line_id(+)
) x,
(
select distinct
wdd.source_line_id,
wda.delivery_id,
xxen_util.wsh_next_step(wdd.container_flag,wdd.released_status,wdd.source_code,wdd.inv_interfaced_flag,wdd.oe_interfaced_flag,wdd.client_id,wdd.replenishment_status,wdd.move_order_line_id) next_step,
xxen_util.meaning(wdd.released_status,&apos;PICK_STATUS&apos;,665) release_status
from
wsh_delivery_details wdd,
wsh_delivery_assignments wda
where
wdd.source_code=&apos;OE&apos; and
wdd.delivery_detail_id=wda.delivery_detail_id
) wda,
wsh_new_deliveries wnd,
hz_cust_site_uses_all hcsua1,
hz_cust_site_uses_all hcsua2,
hz_cust_acct_sites_all hcasa1,
hz_cust_acct_sites_all hcasa2,
hz_cust_accounts hca1,
hz_cust_accounts hca2,
hz_parties hp1,
hz_parties hp2,
hz_party_sites hps1,
hz_party_sites hps2,
hz_locations hl1,
hz_locations hl2,
fnd_territories_vl ftv1,
fnd_territories_vl ftv2
where
x.line_id=wda.source_line_id(+) and
wda.delivery_id=wnd.delivery_id(+) and
x.ship_to_org_id=hcsua1.site_use_id(+) and
x.invoice_to_org_id=hcsua2.site_use_id(+) and
hcsua1.cust_acct_site_id=hcasa1.cust_acct_site_id(+) and
hcsua2.cust_acct_site_id=hcasa2.cust_acct_site_id(+) and
hcasa1.cust_account_id=hca1.cust_account_id(+) and
hcasa2.cust_account_id=hca2.cust_account_id(+) and
hca1.party_id=hp1.party_id(+) and
hca2.party_id=hp2.party_id(+) and
hcasa1.party_site_id=hps1.party_site_id(+) and
hcasa2.party_site_id=hps2.party_site_id(+) and
hps1.location_id=hl1.location_id(+) and
hps2.location_id=hl2.location_id(+) and
hl1.country=ftv1.territory_code(+) and
hl2.country=ftv2.territory_code(+)
order by
x.operating_unit,
x.customer_number,
x.order_number,
x.line_number,
x.shipment_number,
nvl(x.option_number,-1),
nvl(x.component_number,-1),
nvl(x.service_number,-1),
wnd.name nulls last</SQL_TEXT>
  <VERSION_COMMENTS>Added Release Status, Shipment Number, Invoice Quantity, Override ATP Date Code</VERSION_COMMENTS>
  <ENABLED>Y</ENABLED>
  <NUMBER_FORMAT>#,##0.00;[Red]-#,##0.00</NUMBER_FORMAT>
  <REPORT_TRANSLATIONS>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>AR</LANGUAGE>
    <REPORT_NAME>ONT Orders and Lines</REPORT_NAME>
    <DESCRIPTION>تفصيل أمر المبيعات أو تقرير رأس عرض الأسعار مع تفاصيل البند بما في ذلك الحالة والتكلفة ومعلومات المشروع والشحن.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>D</LANGUAGE>
    <REPORT_NAME>ONT Orders and Lines</REPORT_NAME>
    <DESCRIPTION>Detaillierter Kundenauftrags- oder Angebotskopfbericht mit Positionsdetails einschließlich Status, Kosten, Projekt- und Versandinformationen.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>E</LANGUAGE>
    <REPORT_NAME>ONT Orders and Lines</REPORT_NAME>
    <DESCRIPTION>Informe detallado de la cabecera de la orden de venta o del presupuesto con detalles de las partidas, incluyendo el estado, el coste, el proyecto y la información de envío.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>F</LANGUAGE>
    <REPORT_NAME>ONT Orders and Lines</REPORT_NAME>
    <DESCRIPTION>Rapport d&apos;en-tête détaillé de commande ou de devis avec les détails des postes, y compris le statut, le coût, le projet et les informations sur l&apos;expédition.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>I</LANGUAGE>
    <REPORT_NAME>ONT Orders and Lines</REPORT_NAME>
    <DESCRIPTION>Rapporto dettagliato dell&apos;intestazione dell&apos;ordine di vendita o del preventivo con i dettagli della voce, inclusi lo stato, il costo, il progetto e le informazioni di spedizione.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>JA</LANGUAGE>
    <REPORT_NAME>ONT Orders and Lines</REPORT_NAME>
    <DESCRIPTION>ステータス、コスト、プロジェクト、出荷情報を含むラインアイテムの詳細な販売注文または見積ヘッダーレポート。</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>KO</LANGUAGE>
    <REPORT_NAME>ONT Orders and Lines</REPORT_NAME>
    <DESCRIPTION>상태, 비용, 프로젝트 및 배송 정보를 포함한 품목 세부 정보가 포함 된 세부 판매 주문 또는 견적 헤더 보고서.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>PTB</LANGUAGE>
    <REPORT_NAME>ONT Orders and Lines</REPORT_NAME>
    <DESCRIPTION>Relatório detalhado de ordem de venda ou cabeçalho de cotação com detalhes do item de linha, incluindo status, custo, projeto e informações de remessa.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>RU</LANGUAGE>
    <REPORT_NAME>ONT Orders and Lines</REPORT_NAME>
    <DESCRIPTION>Подробный отчет по заказу на поставку или заголовку заказа с подробной информацией по отдельным позициям, включая статус, стоимость, проект и информацию о доставке.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>S</LANGUAGE>
    <REPORT_NAME>ONT Orders and Lines</REPORT_NAME>
    <DESCRIPTION>Detaljförsäljningsorder eller offertrapport med raddetaljer inklusive status, kostnad, projekt och leveransinformation.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>TR</LANGUAGE>
    <REPORT_NAME>ONT Orders and Lines</REPORT_NAME>
    <DESCRIPTION>Durum, maliyet, proje ve nakliye bilgilerini içeren satır öğesi ayrıntılarını içeren ayrıntılı Satış Siparişi veya Teklif başlığı raporu.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>US</LANGUAGE>
    <REPORT_NAME>ONT Orders and Lines</REPORT_NAME>
    <DESCRIPTION>Detail Sales Order or Quote header report with line item details including status, cost, project and shipping information.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>ZHS</LANGUAGE>
    <REPORT_NAME>ONT Orders and Lines</REPORT_NAME>
    <DESCRIPTION>详细的销售订单或报价头报告，包括状态、成本、项目和运输信息等行项目细节。</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
  </REPORT_TRANSLATIONS>
  <CATEGORY_ASSIGNMENTS>
   <CATEGORY_ASSIGNMENTS_ROW>
    <CATEGORY>Enginatics</CATEGORY>
   </CATEGORY_ASSIGNMENTS_ROW>
   <CATEGORY_ASSIGNMENTS_ROW>
    <CATEGORY>Nidec changes</CATEGORY>
   </CATEGORY_ASSIGNMENTS_ROW>
   <CATEGORY_ASSIGNMENTS_ROW>
    <CATEGORY>R12 only</CATEGORY>
   </CATEGORY_ASSIGNMENTS_ROW>
  </CATEGORY_ASSIGNMENTS>
  <ANCHORS>
   <ANCHORS_ROW>
    <ANCHOR>&amp;category_columns</ANCHOR>
   </ANCHORS_ROW>
   <ANCHORS_ROW>
    <ANCHOR>&amp;dff_columns</ANCHOR>
   </ANCHORS_ROW>
   <ANCHORS_ROW>
    <ANCHOR>&amp;dff_columns2</ANCHOR>
   </ANCHORS_ROW>
   <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>2=2</ANCHOR>
    <SQL_TEXT>(oola.ship_from_org_id, oola.inventory_item_id) in (
select distinct
xxen_util.instring(dbms_lob.substr(xrrpv.value),&apos;|&apos;,1) organization_id,
xxen_util.instring(dbms_lob.substr(xrrpv.value),&apos;|&apos;,2) inventory_item_id
from
xxen_report_run_param_values xrrpv
where
xrrpv.parameter_id in (select xrpv.parameter_id from xxen_report_parameters_v xrpv where xrpv.parameter_name=&apos;organization_id|inventory_item_id&apos;) and
xrrpv.run_id=:run_id
)</SQL_TEXT>
    <PARAMETER_TYPE_DSP>Char</PARAMETER_TYPE_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>organization_id|inventory_item_id</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>2</SORT_ORDER>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>ooha.header_id=oola.header_id</SQL_TEXT>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>organization_id|inventory_item_id</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>3</SORT_ORDER>
    <DISPLAY_SEQUENCE>10</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>haouv.name=:operating_unit</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>HR Operating Unit</LOV_NAME>
    <LOV_GUID>8E2FF36EDEB979D2E0530100007F1FF2</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select
hou.name value,
null description
from
hr_operating_units hou
where
sysdate between hou.date_from and nvl(hou.date_to,sysdate) and
(:$flex$.ledger is null or hou.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
hou.organization_id 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)
order by
hou.name</LOV_QUERY_DSP>
    <DEFAULT_VALUE>coalesce(xxen_util.default_operating_unit,xxen_util.previous_parameter_value(:parameter_id))</DEFAULT_VALUE>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Operating Unit</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>4</SORT_ORDER>
    <DISPLAY_SEQUENCE>20</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>ooha.order_number=:order_number</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV custom</PARAMETER_TYPE_DSP>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <FILTER_BEFORE_DISPLAY_DSP>Y</FILTER_BEFORE_DISPLAY_DSP>
    <LOV_QUERY_DSP>select
ooha.order_number value,
ottt.name||&apos;: &apos;||hca.account_name||&apos; (&apos;||xxen_util.meaning(ooha.flow_status_code,&apos;FLOW_STATUS&apos;,660)||&apos;)&apos; description
from
oe_order_headers_all ooha,
oe_transaction_types_tl ottt,
hz_cust_accounts hca
where
nvl(ooha.transaction_phase_code,&apos;F&apos;)=&apos;F&apos; and
(:$flex$.operating_unit is null or ooha.org_id=(select haouv.organization_id from hr_all_organization_units_vl haouv where haouv.name=:$flex$.operating_unit)) and
ooha.sold_to_org_id=hca.cust_account_id and
ooha.order_type_id=ottt.transaction_type_id and
ottt.language=userenv(&apos;lang&apos;)
order by
ooha.order_number desc</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Order Number</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>5</SORT_ORDER>
    <DISPLAY_SEQUENCE>30</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>(
ooha.quote_number=:quote_number or
ooha.orig_sys_document_ref like :quote_number||&apos;%&apos; and ooha.source_document_type_id=16
)</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV custom</PARAMETER_TYPE_DSP>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <FILTER_BEFORE_DISPLAY_DSP>Y</FILTER_BEFORE_DISPLAY_DSP>
    <LOV_QUERY_DSP>select
nvl(ooha.quote_number,regexp_substr(ooha.orig_sys_document_ref,&apos;^(\d+).&apos;,1,1,null,1)) value,
ottt.name||&apos;: &apos;||hca.account_name||&apos; (&apos;||xxen_util.meaning(ooha.flow_status_code,&apos;FLOW_STATUS&apos;,660)||&apos;)&apos; description
from
oe_order_headers_all ooha,
oe_transaction_types_tl ottt,
hz_cust_accounts hca
where
(ooha.quote_number is not null or ooha.orig_sys_document_ref is not null and ooha.source_document_type_id=16) and
(:$flex$.operating_unit is null or ooha.org_id=(select haouv.organization_id from hr_all_organization_units_vl haouv where haouv.name=:$flex$.operating_unit)) and
ooha.sold_to_org_id=hca.cust_account_id and
ooha.order_type_id=ottt.transaction_type_id and
ottt.language=userenv(&apos;lang&apos;)
order by
ooha.order_number desc</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Quote Number</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>6</SORT_ORDER>
    <DISPLAY_SEQUENCE>40</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>upper(hp.party_name) like upper(:customer_name)</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>AR Customer Name</LOV_NAME>
    <LOV_GUID>8E2FF36EDE8679D2E0530100007F1FF2</LOV_GUID>
    <FILTER_BEFORE_DISPLAY_DSP>Y</FILTER_BEFORE_DISPLAY_DSP>
    <LOV_QUERY_DSP>select
hp.party_name value,
hca.account_number||&apos; (&apos;||initcap(hp.party_type)||&apos;)&apos;  description
from
hz_parties hp,
hz_cust_accounts hca
where
hp.party_id=hca.party_id and
(
:$flex$.operating_unit is null or
hca.cust_account_id in (
select
hcasa.cust_account_id
from
hr_all_organization_units_vl haouv,
hz_cust_acct_sites_all hcasa
where
xxen_util.contains(:$flex$.operating_unit,haouv.name)=&apos;Y&apos; and
haouv.organization_id=hcasa.org_id
)
)
order by
hp.party_name</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Customer Name</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>7</SORT_ORDER>
    <DISPLAY_SEQUENCE>50</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>hca.account_number=:account_number</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>AR Account Number</LOV_NAME>
    <LOV_GUID>8E2FF36EDE7F79D2E0530100007F1FF2</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <FILTER_BEFORE_DISPLAY_DSP>Y</FILTER_BEFORE_DISPLAY_DSP>
    <LOV_QUERY_DSP>select
hca.account_number value,
hp.party_name||&apos; (&apos;||initcap(hp.party_type)||&apos;)&apos; description
from
hz_parties hp,
hz_cust_accounts hca
where
hp.party_id=hca.party_id and
(
:$flex$.operating_unit is null or
hca.cust_account_id in (
select
hcasa.cust_account_id
from
hr_all_organization_units_vl haouv,
hz_cust_acct_sites_all hcasa
where
xxen_util.contains(:$flex$.operating_unit,haouv.name)=&apos;Y&apos; and
haouv.organization_id=hcasa.org_id
)
)
order by
hp.party_name</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Account Number</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>8</SORT_ORDER>
    <DISPLAY_SEQUENCE>60</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>nvl(ooha.transaction_phase_code,&apos;F&apos;)=&apos;F&apos;</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV custom</PARAMETER_TYPE_DSP>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select &apos;Order&apos; value, &apos;&apos; description from dual union all
select &apos;Quote&apos; value, &apos;&apos; description from dual</LOV_QUERY_DSP>
    <MATCHING_VALUE>Order</MATCHING_VALUE>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Type</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>9</SORT_ORDER>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>ooha.transaction_phase_code=&apos;N&apos;</SQL_TEXT>
    <MATCHING_VALUE>Quote</MATCHING_VALUE>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Type</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>10</SORT_ORDER>
    <DISPLAY_SEQUENCE>70</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>ooha.order_category_code=xxen_util.lookup_code(:order_category,&apos;ORDER_CATEGORY&apos;,660)</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV custom</PARAMETER_TYPE_DSP>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select
flvv.meaning value,
flvv.lookup_code description
from
fnd_lookup_values_vl flvv
where
flvv.lookup_type=&apos;ORDER_CATEGORY&apos; and
flvv.view_application_id=660 and
flvv.security_group_id=0
order by
flvv.meaning</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Order Category</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>11</SORT_ORDER>
    <DISPLAY_SEQUENCE>80</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>oola.line_category_code=xxen_util.lookup_code(:line_category,&apos;ORDER_CATEGORY&apos;,660)</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV custom</PARAMETER_TYPE_DSP>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select
flvv.meaning value,
flvv.lookup_code description
from
fnd_lookup_values_vl flvv
where
flvv.lookup_code in (&apos;ORDER&apos;,&apos;RETURN&apos;) and
flvv.lookup_type=&apos;ORDER_CATEGORY&apos; and
flvv.view_application_id=660 and
flvv.security_group_id=0
order by
flvv.meaning</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Line Category</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>12</SORT_ORDER>
    <DISPLAY_SEQUENCE>90</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>ottt.name=:order_type</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV custom</PARAMETER_TYPE_DSP>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select
ottt.name value,
xxen_util.meaning(otta.order_category_code,&apos;ORDER_CATEGORY&apos;,660) description
from
oe_transaction_types_all otta,
oe_transaction_types_tl ottt
where
(:$flex$.operating_unit is null or otta.org_id 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
otta.transaction_type_code=&apos;ORDER&apos; and
otta.transaction_type_id=ottt.transaction_type_id and
ottt.language=userenv(&apos;lang&apos;)
order by
decode(otta.order_category_code,&apos;ORDER&apos;,1,&apos;MIXED&apos;,2,3),
ottt.name</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Order Type</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>13</SORT_ORDER>
    <DISPLAY_SEQUENCE>100</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>ottt2.name=:line_type</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV custom</PARAMETER_TYPE_DSP>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select
ottt.name value,
xxen_util.meaning(otta.order_category_code,&apos;ORDER_CATEGORY&apos;,660) description
from
oe_transaction_types_all otta,
oe_transaction_types_tl ottt
where
(:$flex$.operating_unit is null or otta.org_id 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
otta.transaction_type_code=&apos;LINE&apos; and
otta.transaction_type_id=ottt.transaction_type_id and
ottt.language=userenv(&apos;lang&apos;)
order by
decode(otta.order_category_code,&apos;ORDER&apos;,1,&apos;MIXED&apos;,2,3),
ottt.name</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Line Type</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>14</SORT_ORDER>
    <DISPLAY_SEQUENCE>110</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>oola.item_type_code=:item_type_code</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV Oracle</PARAMETER_TYPE_DSP>
    <LOV_NAME>OM: Item Types</LOV_NAME>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select
lookup_code id,
meaning value,
null description
from
oe_lookups
where lookup_type=&apos;ITEM_TYPE&apos;
order by meaning</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Item Type</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>15</SORT_ORDER>
    <DISPLAY_SEQUENCE>120</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>ooha.open_flag=&apos;Y&apos; and
oola.max_open_flag=&apos;Y&apos;</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV Oracle</PARAMETER_TYPE_DSP>
    <LOV_NAME>Yes_No</LOV_NAME>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select
lookup_code id,
meaning value,
null description
from
fnd_lookups
where fnd_lookups.lookup_type=&apos;YES_NO&apos;
order by value,description</LOV_QUERY_DSP>
    <MATCHING_VALUE>Y</MATCHING_VALUE>
    <DEFAULT_VALUE>select &apos;Y&apos; from dual where
:$flex$.order_number is null</DEFAULT_VALUE>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Open only</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>16</SORT_ORDER>
    <DISPLAY_SEQUENCE>130</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>ooha.cancelled_flag=&apos;N&apos; and
oola.cancelled_flag=&apos;N&apos;</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV Oracle</PARAMETER_TYPE_DSP>
    <LOV_NAME>Yes_No</LOV_NAME>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select
lookup_code id,
meaning value,
null description
from
fnd_lookups
where fnd_lookups.lookup_type=&apos;YES_NO&apos;
order by value,description</LOV_QUERY_DSP>
    <MATCHING_VALUE>Y</MATCHING_VALUE>
    <DEFAULT_VALUE>select &apos;Y&apos; from dual where
:$flex$.order_number is null</DEFAULT_VALUE>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Exclude Cancelled</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>17</SORT_ORDER>
    <DISPLAY_SEQUENCE>140</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>ooha.flow_status_code=xxen_util.lookup_code(:header_status,&apos;FLOW_STATUS&apos;,660)</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>ONT Order Status</LOV_NAME>
    <LOV_GUID>8E2FF36EDF0979D2E0530100007F1FF2</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select
flvv.meaning value,
flvv.lookup_code description
from
fnd_lookup_values_vl flvv
where
flvv.lookup_type=&apos;FLOW_STATUS&apos; and
flvv.view_application_id=660 and
flvv.security_group_id=0
order by
flvv.meaning</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Order Status</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>18</SORT_ORDER>
    <DISPLAY_SEQUENCE>150</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>oola.flow_status_code=xxen_util.lookup_code(:line_status,&apos;LINE_FLOW_STATUS&apos;,660)</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>ONT Line Status</LOV_NAME>
    <LOV_GUID>8E2FF36EDF0A79D2E0530100007F1FF2</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select
flvv.meaning value,
flvv.lookup_code description
from
fnd_lookup_values_vl flvv
where
flvv.lookup_type=&apos;LINE_FLOW_STATUS&apos; and
flvv.view_application_id=660 and
flvv.security_group_id=0
order by
flvv.meaning</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Line Status</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>19</SORT_ORDER>
    <DISPLAY_SEQUENCE>160</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>msiv.concatenated_segments like :item</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>INV Item</LOV_NAME>
    <LOV_GUID>8E2FF36EDEF179D2E0530100007F1FF2</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <FILTER_BEFORE_DISPLAY_DSP>Y</FILTER_BEFORE_DISPLAY_DSP>
    <LOV_QUERY_DSP>select
msiv.concatenated_segments value,
msiv.description||&apos; (&apos;||mp.organization_code||&apos;)&apos; description
from
mtl_system_items_vl msiv,
mtl_parameters mp
where
(
:$flex$.organization_code is null and (
fnd_profile.value(&apos;MFG_ORGANIZATION_ID&apos;) is null and msiv.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
msiv.organization_id=fnd_profile.value(&apos;MFG_ORGANIZATION_ID&apos;)
) or
xxen_util.contains(:$flex$.organization_code,mp.organization_code)=&apos;Y&apos;
) and
msiv.organization_id=mp.organization_id
order by
mp.organization_code,
msiv.concatenated_segments</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Item</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>20</SORT_ORDER>
    <DISPLAY_SEQUENCE>170</DISPLAY_SEQUENCE>
    <ANCHOR>&amp;category_columns</ANCHOR>
    <SQL_TEXT>select xxen_util.item_category_columns(p_category_set_name=&gt;&apos;&lt;parameter_value&gt;&apos;, p_table_alias=&gt;&apos;x&apos;, p_org_id_column=&gt;&apos;ship_from_org_id&apos;) sql_text from dual</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>INV Category Set</LOV_NAME>
    <LOV_GUID>8E2FF36EDECA79D2E0530100007F1FF2</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select distinct
mcsv.category_set_name value,
mcsv.description
from
mtl_category_sets_vl mcsv
where
:$flex$.organization_code is null or
mcsv.category_set_id in (select mic.category_set_id from mtl_parameters mp, mtl_item_categories mic where xxen_util.contains(:$flex$.organization_code,mp.organization_code)=&apos;Y&apos; and mp.organization_id=mic.organization_id)
order by
mcsv.category_set_name</LOV_QUERY_DSP>
    <DEFAULT_VALUE>coalesce(xxen_util.previous_parameter_value(:parameter_id),(select mdsv.category_set_name from mtl_default_sets_view mdsv where mdsv.functional_area_id=1))</DEFAULT_VALUE>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Category Set 1</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>21</SORT_ORDER>
    <DISPLAY_SEQUENCE>180</DISPLAY_SEQUENCE>
    <ANCHOR>&amp;category_columns</ANCHOR>
    <SQL_TEXT>select xxen_util.item_category_columns(p_category_set_name=&gt;&apos;&lt;parameter_value&gt;&apos;, p_table_alias=&gt;&apos;x&apos;, p_org_id_column=&gt;&apos;ship_from_org_id&apos;) sql_text from dual</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>INV Category Set</LOV_NAME>
    <LOV_GUID>8E2FF36EDECA79D2E0530100007F1FF2</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select distinct
mcsv.category_set_name value,
mcsv.description
from
mtl_category_sets_vl mcsv
where
:$flex$.organization_code is null or
mcsv.category_set_id in (select mic.category_set_id from mtl_parameters mp, mtl_item_categories mic where xxen_util.contains(:$flex$.organization_code,mp.organization_code)=&apos;Y&apos; and mp.organization_id=mic.organization_id)
order by
mcsv.category_set_name</LOV_QUERY_DSP>
    <DEFAULT_VALUE>coalesce(xxen_util.previous_parameter_value(:parameter_id),(select mdsv.category_set_name from mtl_default_sets_view mdsv where mdsv.functional_area_id=2))</DEFAULT_VALUE>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Category Set 2</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>22</SORT_ORDER>
    <DISPLAY_SEQUENCE>190</DISPLAY_SEQUENCE>
    <ANCHOR>&amp;category_columns</ANCHOR>
    <SQL_TEXT>select xxen_util.item_category_columns(p_category_set_name=&gt;&apos;&lt;parameter_value&gt;&apos;, p_table_alias=&gt;&apos;x&apos;, p_org_id_column=&gt;&apos;ship_from_org_id&apos;) sql_text from dual</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>INV Category Set</LOV_NAME>
    <LOV_GUID>8E2FF36EDECA79D2E0530100007F1FF2</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select distinct
mcsv.category_set_name value,
mcsv.description
from
mtl_category_sets_vl mcsv
where
:$flex$.organization_code is null or
mcsv.category_set_id in (select mic.category_set_id from mtl_parameters mp, mtl_item_categories mic where xxen_util.contains(:$flex$.organization_code,mp.organization_code)=&apos;Y&apos; and mp.organization_id=mic.organization_id)
order by
mcsv.category_set_name</LOV_QUERY_DSP>
    <DEFAULT_VALUE>xxen_util.previous_parameter_value(:parameter_id)</DEFAULT_VALUE>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Category Set 3</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>23</SORT_ORDER>
    <DISPLAY_SEQUENCE>200</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>oola.shippable_flag=:shippable_flag</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV Oracle</PARAMETER_TYPE_DSP>
    <LOV_NAME>Yes_No</LOV_NAME>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select
lookup_code id,
meaning value,
null description
from
fnd_lookups
where fnd_lookups.lookup_type=&apos;YES_NO&apos;
order by value,description</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Shippable Flag</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>24</SORT_ORDER>
    <DISPLAY_SEQUENCE>210</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>oola.ord_shipped_qty&gt;0</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV Oracle</PARAMETER_TYPE_DSP>
    <LOV_NAME>Yes_No</LOV_NAME>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select
lookup_code id,
meaning value,
null description
from
fnd_lookups
where fnd_lookups.lookup_type=&apos;YES_NO&apos;
order by value,description</LOV_QUERY_DSP>
    <MATCHING_VALUE>Y</MATCHING_VALUE>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Order Fully/Partially Shipped</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>25</SORT_ORDER>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>nvl(oola.ord_shipped_qty,0)=0</SQL_TEXT>
    <MATCHING_VALUE>N</MATCHING_VALUE>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Order Fully/Partially Shipped</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>26</SORT_ORDER>
    <DISPLAY_SEQUENCE>220</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>ppa.project_number=:project_number</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>PA Project Number</LOV_NAME>
    <LOV_GUID>8E2FF36EDEDB79D2E0530100007F1FF2</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <FILTER_BEFORE_DISPLAY_DSP>Y</FILTER_BEFORE_DISPLAY_DSP>
    <LOV_QUERY_DSP>select
ppa.project_number value,
ppa.project_type||&apos;: &apos;||ppa.name description
from
(
select ppa.segment1 project_number, ppa.name, ppa.project_type, ppa.org_id, ppa.creation_date from pa_projects_all ppa union all
select psm.project_number, psm.project_name, &apos;PJM Seiban&apos; project_type, psm.operating_unit, psm.creation_date from pjm_seiban_numbers psm
) ppa,
hr_all_organization_units_vl haouv
where
(
xxen_util.contains(:$flex$.operating_unit,haouv.name)=&apos;Y&apos; or
:$flex$.operating_unit is null and ppa.org_id 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
ppa.org_id=haouv.organization_id
order by
ppa.creation_date desc,
ppa.project_number desc</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Project</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>27</SORT_ORDER>
    <DISPLAY_SEQUENCE>230</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>pt.task_number=:task_number</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>PA Task Number (project dependent)</LOV_NAME>
    <LOV_GUID>8E2FF36EDEE979D2E0530100007F1FF2</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select
pt.task_number value,
pt.task_name||&apos;: &apos;||pt.description description
from
pa_tasks pt,
(
select ppa.project_id, ppa.segment1 project_number from pa_projects_all ppa union all
select psm.project_id, psm.project_number from pjm_seiban_numbers psm
) ppa
where
ppa.project_number=:$flex$.project and
pt.project_id=ppa.project_id
order by
pt.task_number</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Task</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>28</SORT_ORDER>
    <DISPLAY_SEQUENCE>240</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>oola.schedule_ship_date&gt;=:schedule_ship_date_from</SQL_TEXT>
    <PARAMETER_TYPE_DSP>Date</PARAMETER_TYPE_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Schedule Ship Date From</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>29</SORT_ORDER>
    <DISPLAY_SEQUENCE>250</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>oola.schedule_ship_date&lt;:schedule_ship_date_to+1</SQL_TEXT>
    <PARAMETER_TYPE_DSP>Date</PARAMETER_TYPE_DSP>
    <DEFAULT_VALUE>last_day(:$flex$.schedule_ship_date_from)</DEFAULT_VALUE>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Schedule Ship Date To</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>30</SORT_ORDER>
    <DISPLAY_SEQUENCE>260</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>oola.ship_to_org_id in (
select
hcsua.site_use_id
from
fnd_territories_vl ftv,
hz_locations hl,
hz_party_sites hps,
hz_cust_acct_sites_all hcasa,
hz_cust_site_uses_all hcsua
where
ftv.territory_short_name=:country and
ftv.territory_code=hl.country and
hl.location_id=hps.location_id and
hps.party_site_id=hcasa.party_site_id and
hcasa.cust_acct_site_id=hcsua.cust_acct_site_id
)</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>Country</LOV_NAME>
    <LOV_GUID>8E2FF36EDE8379D2E0530100007F1FF2</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select
ftv.territory_short_name value,
ftv.territory_code||&apos;: &apos;||ftv.description description
from
fnd_territories_vl ftv
order by
ftv.territory_short_name</LOV_QUERY_DSP>
    <DEFAULT_VALUE>select
ftv.territory_short_name
from
fnd_territories_vl ftv
where
:$flex$.intrastat_eligible_only is not null and
ftv.territory_code not in (select hla.country from hr_all_organization_units_vl haouv, hr_locations_all hla where xxen_util.contains(:$flex$.operating_unit,haouv.name)=&apos;Y&apos; and haouv.location_id=hla.location_id) and
ftv.territory_code in (&apos;AT&apos;,&apos;BE&apos;, &apos;BG&apos;,&apos;CY&apos;,&apos;CZ&apos;,&apos;DE&apos;,&apos;DK&apos;,&apos;EE&apos;,&apos;ES&apos;,&apos;FI&apos;,&apos;FR&apos;,&apos;GR&apos;,&apos;HR&apos;,&apos;HU&apos;,&apos;IE&apos;,&apos;IT&apos;,&apos;LT&apos;,&apos;LU&apos;,&apos;LV&apos;,&apos;MT&apos;,&apos;NL&apos;,&apos;PL&apos;,&apos;PT&apos;,&apos;RO&apos;,&apos;SE&apos;,&apos;SI&apos;,&apos;SK&apos;)</DEFAULT_VALUE>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Ship To Country</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>31</SORT_ORDER>
    <DISPLAY_SEQUENCE>270</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>oola.invoice_to_org_id in (
select
hcsua.site_use_id
from
fnd_territories_vl ftv,
hz_locations hl,
hz_party_sites hps,
hz_cust_acct_sites_all hcasa,
hz_cust_site_uses_all hcsua
where
ftv.territory_short_name=:bill_to_country and
ftv.territory_code=hl.country and
hl.location_id=hps.location_id and
hps.party_site_id=hcasa.party_site_id and
hcasa.cust_acct_site_id=hcsua.cust_acct_site_id
)</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>Country</LOV_NAME>
    <LOV_GUID>8E2FF36EDE8379D2E0530100007F1FF2</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select
ftv.territory_short_name value,
ftv.territory_code||&apos;: &apos;||ftv.description description
from
fnd_territories_vl ftv
order by
ftv.territory_short_name</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Bill To Country</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>32</SORT_ORDER>
    <DISPLAY_SEQUENCE>280</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>oola.ship_from_org_id in (select mp.organization_id from mtl_parameters mp where mp.organization_code=:ship_from_warehouse)</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>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Ship From Warehouse</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>33</SORT_ORDER>
    <DISPLAY_SEQUENCE>290</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>oola.request_date&gt;=:request_date_from</SQL_TEXT>
    <PARAMETER_TYPE_DSP>Date</PARAMETER_TYPE_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Request Date From</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>34</SORT_ORDER>
    <DISPLAY_SEQUENCE>300</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>oola.request_date&lt;:request_date_to+1</SQL_TEXT>
    <PARAMETER_TYPE_DSP>Date</PARAMETER_TYPE_DSP>
    <DEFAULT_VALUE>last_day(:$flex$.request_date_from)</DEFAULT_VALUE>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Request Date To</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>35</SORT_ORDER>
    <DISPLAY_SEQUENCE>310</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>ooha.creation_date&gt;=:creation_date_from</SQL_TEXT>
    <PARAMETER_TYPE_DSP>Date</PARAMETER_TYPE_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Creation Date From</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>36</SORT_ORDER>
    <DISPLAY_SEQUENCE>320</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>ooha.creation_date&lt;:creation_date_to+1</SQL_TEXT>
    <PARAMETER_TYPE_DSP>Date</PARAMETER_TYPE_DSP>
    <DEFAULT_VALUE>last_day(:$flex$.creation_date_from)</DEFAULT_VALUE>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Creation Date To</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>37</SORT_ORDER>
    <DISPLAY_SEQUENCE>330</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>oola.creation_date&gt;=:line_creation_date_from</SQL_TEXT>
    <PARAMETER_TYPE_DSP>Date</PARAMETER_TYPE_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Line Creation Date From</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>38</SORT_ORDER>
    <DISPLAY_SEQUENCE>340</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>oola.creation_date&lt;:line_creation_date_to+1</SQL_TEXT>
    <PARAMETER_TYPE_DSP>Date</PARAMETER_TYPE_DSP>
    <DEFAULT_VALUE>last_day(:$flex$.line_creation_date_from)</DEFAULT_VALUE>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Line Creation Date To</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>39</SORT_ORDER>
    <DISPLAY_SEQUENCE>350</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>oola.line_id in (select oolh.line_id from oe_order_lines_history oolh where oolh.hist_creation_date&gt;=:cancel_date_from and oolh.hist_creation_date&lt;:cancel_date_to+1 and oolh.hist_type_code=&apos;CANCELLATION&apos;)</SQL_TEXT>
    <PARAMETER_TYPE_DSP>Date</PARAMETER_TYPE_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Cancelled Date From</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>40</SORT_ORDER>
    <DISPLAY_SEQUENCE>360</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>oola.line_id in (select oolh.line_id from oe_order_lines_history oolh where oolh.hist_creation_date&lt;:cancel_date_to+1 and oolh.hist_creation_date&gt;=:cancel_date_from and oolh.hist_type_code=&apos;CANCELLATION&apos;)</SQL_TEXT>
    <PARAMETER_TYPE_DSP>Date</PARAMETER_TYPE_DSP>
    <DEFAULT_VALUE>last_day(:$flex$.cancelled_date_from)</DEFAULT_VALUE>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Cancelled Date To</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>41</SORT_ORDER>
    <DISPLAY_SEQUENCE>370</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>rctlgda0.gl_date&gt;=:invoice_gl_date_from and
rctla.interface_line_attribute6=oola.line_id</SQL_TEXT>
    <PARAMETER_TYPE_DSP>Date</PARAMETER_TYPE_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Invoice GL Date From</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>42</SORT_ORDER>
    <DISPLAY_SEQUENCE>380</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>rctlgda0.gl_date&lt;:invoice_gl_date_to+1 and
rctla.interface_line_attribute6=oola.line_id</SQL_TEXT>
    <PARAMETER_TYPE_DSP>Date</PARAMETER_TYPE_DSP>
    <DEFAULT_VALUE>last_day(:$flex$.invoice_gl_date_from)</DEFAULT_VALUE>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Invoice GL Date To</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>43</SORT_ORDER>
    <DISPLAY_SEQUENCE>390</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>rcta.complete_flag=&apos;Y&apos; and
(rcta.cust_trx_type_id,rcta.org_id) in (select rctta.cust_trx_type_id, rctta.org_id from ra_cust_trx_types_all rctta where rctta.post_to_gl=&apos;Y&apos;) and
rcta.customer_trx_id in (select rctlgda.customer_trx_id from ra_cust_trx_line_gl_dist_all rctlgda where rctlgda.gl_posted_date is not null)</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>Yes</LOV_NAME>
    <LOV_GUID>8E2FF36EDEA679D2E0530100007F1FF2</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select &apos;Y&apos; id, xxen_util.meaning(&apos;Y&apos;,&apos;YES_NO&apos;,0) value, null description from dual</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Intrastat Eligible Only</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>44</SORT_ORDER>
    <DISPLAY_SEQUENCE>400</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>ooha.booked_flag=&apos;Y&apos; and
ooha.cancelled_flag=&apos;N&apos; and
oola.cancelled_flag=&apos;N&apos; and
oola.shippable_flag=&apos;Y&apos; and
oola.line_category_code=&apos;ORDER&apos;</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>Yes</LOV_NAME>
    <LOV_GUID>8E2FF36EDEA679D2E0530100007F1FF2</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select &apos;Y&apos; id, xxen_util.meaning(&apos;Y&apos;,&apos;YES_NO&apos;,0) value, null description from dual</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>DIFOT Eligible Only</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>45</SORT_ORDER>
    <DISPLAY_SEQUENCE>410</DISPLAY_SEQUENCE>
    <ANCHOR>&amp;dff_columns</ANCHOR>
    <SQL_TEXT>select
xxen_util.dff_columns(p_table_name=&gt;&apos;oe_order_headers_all&apos;,p_column_name_prefix=&gt;&apos;Header: &apos;)||
xxen_util.dff_columns(p_table_name=&gt;&apos;oe_order_lines_all&apos;,p_column_name_prefix=&gt;&apos;Line: &apos;) sql_text
from
dual</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>Yes</LOV_NAME>
    <LOV_GUID>8E2FF36EDEA679D2E0530100007F1FF2</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select &apos;Y&apos; id, xxen_util.meaning(&apos;Y&apos;,&apos;YES_NO&apos;,0) value, null description from dual</LOV_QUERY_DSP>
    <DEFAULT_VALUE>Y</DEFAULT_VALUE>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Show DFF Attributes</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>46</SORT_ORDER>
    <ANCHOR>&amp;dff_columns2</ANCHOR>
    <SQL_TEXT>select
xxen_util.dff_columns(p_table_name=&gt;&apos;oe_order_headers_all&apos;,p_column_name_prefix=&gt;&apos;Header: &apos;,p_prefix=&gt;&apos;x.&apos;)||
xxen_util.dff_columns(p_table_name=&gt;&apos;oe_order_lines_all&apos;,p_column_name_prefix=&gt;&apos;Line: &apos;,p_prefix=&gt;&apos;x.&apos;) sql_text
from
dual</SQL_TEXT>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Show DFF Attributes</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
  </PARAMETERS>
  <PARAMETER_DEPENDENCIES>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.cancelled_date_from</FLEX_BIND>
    <PARAMETER_NAME>Cancelled Date From</PARAMETER_NAME>
    <IS_DATE>Y</IS_DATE>
    <DEPENDENT_PARAMETER_NAME>Cancelled Date To</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.creation_date_from</FLEX_BIND>
    <PARAMETER_NAME>Creation Date From</PARAMETER_NAME>
    <IS_DATE>Y</IS_DATE>
    <DEPENDENT_PARAMETER_NAME>Creation Date To</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.intrastat_eligible_only</FLEX_BIND>
    <PARAMETER_NAME>Intrastat Eligible Only</PARAMETER_NAME>
    <DEPENDENT_PARAMETER_NAME>Ship To Country</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.invoice_gl_date_from</FLEX_BIND>
    <PARAMETER_NAME>Invoice GL Date From</PARAMETER_NAME>
    <IS_DATE>Y</IS_DATE>
    <DEPENDENT_PARAMETER_NAME>Invoice GL Date To</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.line_creation_date_from</FLEX_BIND>
    <PARAMETER_NAME>Line Creation Date From</PARAMETER_NAME>
    <IS_DATE>Y</IS_DATE>
    <DEPENDENT_PARAMETER_NAME>Line Creation Date To</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.operating_unit</FLEX_BIND>
    <PARAMETER_NAME>Operating Unit</PARAMETER_NAME>
    <DEPENDENT_PARAMETER_NAME>Account Number</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.operating_unit</FLEX_BIND>
    <PARAMETER_NAME>Operating Unit</PARAMETER_NAME>
    <DEPENDENT_PARAMETER_NAME>Customer Name</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.operating_unit</FLEX_BIND>
    <PARAMETER_NAME>Operating Unit</PARAMETER_NAME>
    <DEPENDENT_PARAMETER_NAME>Line Type</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.operating_unit</FLEX_BIND>
    <PARAMETER_NAME>Operating Unit</PARAMETER_NAME>
    <DEPENDENT_PARAMETER_NAME>Order Number</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.operating_unit</FLEX_BIND>
    <PARAMETER_NAME>Operating Unit</PARAMETER_NAME>
    <DEPENDENT_PARAMETER_NAME>Order Type</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.operating_unit</FLEX_BIND>
    <PARAMETER_NAME>Operating Unit</PARAMETER_NAME>
    <DEPENDENT_PARAMETER_NAME>Project</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.operating_unit</FLEX_BIND>
    <PARAMETER_NAME>Operating Unit</PARAMETER_NAME>
    <DEPENDENT_PARAMETER_NAME>Quote Number</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.operating_unit</FLEX_BIND>
    <PARAMETER_NAME>Operating Unit</PARAMETER_NAME>
    <DEPENDENT_PARAMETER_NAME>Ship From Warehouse</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.operating_unit</FLEX_BIND>
    <PARAMETER_NAME>Operating Unit</PARAMETER_NAME>
    <DEPENDENT_PARAMETER_NAME>Ship To Country</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.order_number</FLEX_BIND>
    <PARAMETER_NAME>Order Number</PARAMETER_NAME>
    <DEPENDENT_PARAMETER_NAME>Exclude Cancelled</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.order_number</FLEX_BIND>
    <PARAMETER_NAME>Order Number</PARAMETER_NAME>
    <DEPENDENT_PARAMETER_NAME>Open only</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.project</FLEX_BIND>
    <PARAMETER_NAME>Project</PARAMETER_NAME>
    <DEPENDENT_PARAMETER_NAME>Task</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.request_date_from</FLEX_BIND>
    <PARAMETER_NAME>Request Date From</PARAMETER_NAME>
    <IS_DATE>Y</IS_DATE>
    <DEPENDENT_PARAMETER_NAME>Request Date To</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.schedule_ship_date_from</FLEX_BIND>
    <PARAMETER_NAME>Schedule Ship Date From</PARAMETER_NAME>
    <IS_DATE>Y</IS_DATE>
    <DEPENDENT_PARAMETER_NAME>Schedule Ship Date To</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
  </PARAMETER_DEPENDENCIES>
  <TEMPLATES>
   <TEMPLATES_ROW>
    <TEMPLATE_NAME>DIFOT Template</TEMPLATE_NAME>
    <DISTINCT_FLAG>Y</DISTINCT_FLAG>
    <DESCRIPTION>Deliver In Full On Time Dashboard</DESCRIPTION>
    <OWNER>SYSADMIN</OWNER>
    <TEMPLATE_COLUMNS>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>-2.0003</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ACCOUNT_NUMBER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>76</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ACTUAL_SHIPMENT_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>-16.0017</DISPLAY_SEQUENCE>
      <COLUMN_NAME>BILL_TO_ACCOUNT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>19</DISPLAY_SEQUENCE>
      <COLUMN_NAME>BILL_TO_ADDRESS</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>20</DISPLAY_SEQUENCE>
      <COLUMN_NAME>BILL_TO_COUNTRY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>16</DISPLAY_SEQUENCE>
      <COLUMN_NAME>BILL_TO_CUSTOMER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>17</DISPLAY_SEQUENCE>
      <COLUMN_NAME>BILL_TO_CUSTOMER_NUMBER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>18</DISPLAY_SEQUENCE>
      <COLUMN_NAME>BILL_TO_LOCATION</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>69</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CALCULATE_PRICE_FLAG</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>-50.0051</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CANCELLED</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>56</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CANCELLED_AMOUNT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>53</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CANCELLED_BY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>51</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CANCELLED_FLAG</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>55</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CANCELLED_QUANTITY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>52</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CANCEL_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>54</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CANCEL_REASON</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>31</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CHARGES</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>28</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CURRENCY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>2</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CUSTOMER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>3</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CUSTOMER_NUMBER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>10</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CUSTOMER_PO</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>58</DISPLAY_SEQUENCE>
      <COLUMN_NAME>DESCRIPTION</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>63</DISPLAY_SEQUENCE>
      <COLUMN_NAME>DISCOUNTED_PRICE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>65</DISPLAY_SEQUENCE>
      <COLUMN_NAME>EXTENDED_PRICE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>43</DISPLAY_SEQUENCE>
      <COLUMN_NAME>FOB</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>42</DISPLAY_SEQUENCE>
      <COLUMN_NAME>FREIGHT_TERMS</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>82</DISPLAY_SEQUENCE>
      <COLUMN_NAME>HEADER_CREATED_BY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>83</DISPLAY_SEQUENCE>
      <COLUMN_NAME>HEADER_CREATION_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>92</DISPLAY_SEQUENCE>
      <COLUMN_NAME>HEADER_ID</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>84</DISPLAY_SEQUENCE>
      <COLUMN_NAME>HEADER_LAST_UPDATED_BY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>85</DISPLAY_SEQUENCE>
      <COLUMN_NAME>HEADER_LAST_UPDATE_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>27</DISPLAY_SEQUENCE>
      <COLUMN_NAME>HEADER_STATUS</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>-40.0041</DISPLAY_SEQUENCE>
      <COLUMN_NAME>INVOICED_AMOUNT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>38</DISPLAY_SEQUENCE>
      <COLUMN_NAME>INVOICE_AMOUNT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>35</DISPLAY_SEQUENCE>
      <COLUMN_NAME>INVOICE_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>37</DISPLAY_SEQUENCE>
      <COLUMN_NAME>INVOICE_LINE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>34</DISPLAY_SEQUENCE>
      <COLUMN_NAME>INVOICE_NUMBER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>24</DISPLAY_SEQUENCE>
      <COLUMN_NAME>INVOICE_SALESPERSON</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>36</DISPLAY_SEQUENCE>
      <COLUMN_NAME>INVOICE_STATUS</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>57</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ITEM</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>59</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ITEM_TYPE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>48</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>91</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_CATEGORY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>66</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_CHARGES</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>86</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_CREATED_BY</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>87</DISPLAY_SEQUENCE>
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     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>95</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_DAYS_LATE</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>106</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_DIF</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>108</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_DIFOT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>107</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_DOT</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>93</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_ID</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>88</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_LAST_UPDATED_BY</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>89</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_LAST_UPDATE_DATE</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>94</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_NUMBER</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>96</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_QUANTITY_SHORT</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>41</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_SET</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>97</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_SHIPPED</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>50</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_STATUS</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>49</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_TYPE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>62</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LIST_PRICE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>1</DISPLAY_SEQUENCE>
      <COLUMN_NAME>OPERATING_UNIT</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>21</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORDERED_DATE</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>109</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORDERS_DIF</COLUMN_NAME>
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      <DISPLAY_SEQUENCE>111</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORDERS_DIFOT</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>110</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORDERS_DOT</COLUMN_NAME>
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      <DISPLAY_SEQUENCE>90</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORDER_CATEGORY</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>98</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORDER_DATE_TYPE_CODE</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>4</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORDER_NUMBER</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>25</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORDER_SOURCE</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>26</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORDER_SOURCE_REFERENCE</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>9</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORDER_TYPE</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>-107.0108</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORD_DIF</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>-107.011</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORD_DIFOT</COLUMN_NAME>
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      <DISPLAY_SEQUENCE>-107.0109</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORD_DOT</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>104</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORIG_LINE_ACTUAL_SHIPMENT_DATE</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>103</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORIG_LINE_DELIVERY_LEAD_TIME</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>100</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORIG_LINE_ID</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>101</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORIG_LINE_PROMISE_DATE</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>102</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORIG_LINE_QUANTITY</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>105</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORIG_LINE_TOT_SHIPPED_QUANTITY</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>46</DISPLAY_SEQUENCE>
      <COLUMN_NAME>PACKING_INSTRUCTIONS</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>33</DISPLAY_SEQUENCE>
      <COLUMN_NAME>PAYMENT_TERMS</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>47</DISPLAY_SEQUENCE>
      <COLUMN_NAME>PAYMENT_TYPE</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>22</DISPLAY_SEQUENCE>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>72</DISPLAY_SEQUENCE>
      <COLUMN_NAME>PRICING_DATE</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>70</DISPLAY_SEQUENCE>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>71</DISPLAY_SEQUENCE>
      <COLUMN_NAME>PRICING_UOM</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>80</DISPLAY_SEQUENCE>
      <COLUMN_NAME>PROJECT</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
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     <TEMPLATE_COLUMNS_ROW>
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     <TEMPLATE_COLUMNS_ROW>
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     <TEMPLATE_COLUMNS_ROW>
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      <COLUMN_NAME>SHIPPABLE_FLAG</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
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      <COLUMN_NAME>SHIPPED_QUANTITY</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>45</DISPLAY_SEQUENCE>
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     <TEMPLATE_COLUMNS_ROW>
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     <TEMPLATE_COLUMNS_ROW>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>79</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SHIP_SET</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>-11.0012</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SHIP_TO_ACCOUNT</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>14</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SHIP_TO_ADDRESS</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>15</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SHIP_TO_COUNTRY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>11</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SHIP_TO_CUSTOMER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>12</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SHIP_TO_CUSTOMER_NUMBER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>13</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SHIP_TO_LOCATION</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>7</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SOURCE_DOCUMENT</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>6</DISPLAY_SEQUENCE>
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     <TEMPLATE_COLUMNS_ROW>
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      <COLUMN_NAME>SPLIT_LINE</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>29</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SUBTOTAL</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>81</DISPLAY_SEQUENCE>
      <COLUMN_NAME>TASK</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>30</DISPLAY_SEQUENCE>
      <COLUMN_NAME>TAX</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>68</DISPLAY_SEQUENCE>
      <COLUMN_NAME>TAX_AMOUNT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>67</DISPLAY_SEQUENCE>
      <COLUMN_NAME>TAX_CODE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>32</DISPLAY_SEQUENCE>
      <COLUMN_NAME>TOTAL</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>8</DISPLAY_SEQUENCE>
      <COLUMN_NAME>TYPE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>64</DISPLAY_SEQUENCE>
      <COLUMN_NAME>UNIT_SELLING_PRICE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>61</DISPLAY_SEQUENCE>
      <COLUMN_NAME>UOM</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>39</DISPLAY_SEQUENCE>
      <COLUMN_NAME>WAREHOUSE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
    </TEMPLATE_COLUMNS>
    <TEMPLATE_PIVOT>
     <TEMPLATE_PIVOT_ROW>
      <COLUMN_NAME>ACCOUNT_NUMBER</COLUMN_NAME>
      <FIELD_TYPE>FILTER</FIELD_TYPE>
      <DISPLAY_SEQUENCE>4</DISPLAY_SEQUENCE>
     </TEMPLATE_PIVOT_ROW>
     <TEMPLATE_PIVOT_ROW>
      <COLUMN_NAME>ORD_DIFOT</COLUMN_NAME>
      <FIELD_TYPE>COLUMN</FIELD_TYPE>
      <DISPLAY_SEQUENCE>1</DISPLAY_SEQUENCE>
     </TEMPLATE_PIVOT_ROW>
     <TEMPLATE_PIVOT_ROW>
      <COLUMN_NAME>SHIP_METHOD</COLUMN_NAME>
      <FIELD_TYPE>ROW</FIELD_TYPE>
      <DISPLAY_SEQUENCE>12</DISPLAY_SEQUENCE>
     </TEMPLATE_PIVOT_ROW>
     <TEMPLATE_PIVOT_ROW>
      <COLUMN_NAME>SHIP_TO_ACCOUNT</COLUMN_NAME>
      <FIELD_TYPE>ROW</FIELD_TYPE>
      <DISPLAY_SEQUENCE>2</DISPLAY_SEQUENCE>
     </TEMPLATE_PIVOT_ROW>
    </TEMPLATE_PIVOT>
    <FILE_NAME>ONT Order Headers and Lines - DIFOT Template - May 25.xlsm</FILE_NAME>
    <FILE_LANGUAGE>US</FILE_LANGUAGE>
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
qbGaEz7l2OcSTXS6tatbJsq+SENKMY+nodHUa5pixNaT88quCksDZ7Go692xD7WRj6lDwjM8P5rf9A+iQRqpyMJTvEU2rHRMwOKoqqwFrpkCReZSKqFcnk5YuDiiHpR9LtJpsK3oEyYVBlxStI1/o41uEpyXSc2otPcvSJA5JrL6lZluy47EJBo8YppTwaGpSOysitoEn65WRNDIHcc8kP9v6SszETCa8kxc6y62V3JXOJ773JvI0yoyWw/WTCtz+zxNQxEC1LjB1Qxf9woS7pnPrdtjRUswwwhT17XHLuD+xrk88lAiR9VHm4b9Uzyh+kDqRcqpQC7LT+Z9SLKFGqkBzqT6GFkBTdlnhjZTxAgycWtMnRqedYJB590qa3wUZwAjmjiDr9JenI2r9vVljubEscSv+gIl4ylP4ePL+5YQW3KDlxpRVWNDBKtphTOlnqwrf7GNrW/vJa/aJb+tb1S+IyBVHP6MrfnMDL1zepOfTUIoAWbz7HSXh4UbEqri+Gi/6uoj9DpYgqOqFoWs7FPltcvZyZSvx29/IYOZHv7VqkYP6gyRhFt2SV6aRtViBZuDlugokaXTmddX06W/pWlgr23z+CJEiKcxV49lyWUrV1CH1jOeyiL2v6805q3sm0ruJwajLq3vZjhd6NA0e7J23mweivf1PVt41clbJ2mWsU8nt5NVZ19rmsZ+dw6b/VDemGcj58Cb0J28MDdYkalJr5erXyE9Bw8VvNA5K7FANL5s6lKyeYb55IH2U4paoB6bf98Hjuqbh79E2Ggu6YiRW9qGJJk4mLnU2K375iKikVjRefW715OmFkWb+s5/zGmctcT2vf6raFvxxtVqtgniQ1JVm14dytg9J/zygu0KY+WRF3Y1F/w/X7NbNbFWSaTbXr41NRqK1uWv71qOmF5I6U1HOxuKtjl+pljWSjQrFmumFK+Z3HyoaUezovRcPR24HNQ2Vz9cvk1dJb+S1wfOeA4hrsw9BfvTGtlO6IT8WpklPxXJRKck42sjKanvVI7ZQSBwly5gt3Dw+ooLsGvVD8F6oEvGBc+SxaKZoh81vzqZjgZ/Q80LXubUXYBPSSLUQKlStxS51MTiRHKXD/0KARJv9f6eWCTB0K538dMyQR7gs5VZL4FFv5IckZSa/kR0IpPyPPlDyjoPvFqKIADpM5KX9DncIymIlSS/jFqJKfYv6krDU7x2VufCTCRiAYhZn6pCdukXSgaFKs2hhyalWwmRzZfIk0LBVbpfRuTzetkrSZqxJaEpp4eULUasU41kfl/oyogr6Fe9XjsUvOJQwpXuQf/pVYot1URRevRXABSYsi812irblf/sWqatgX7WQrrVpwXkbaOOfinMMLt09KVAQdPCrh0I8Wpi79iL9cdsvQkPqjvlhJf/KNKZmg8j6Oa6zVqdvOykta5/qL48hdrS96PPbGuJQQBBOaMy9Kf694ZOlA9H9ImiTTCJa8XrID71ZvwleiJ5YV6vEni1yLYf6mcPLBd/vYYpS4IHGJFnVllLTkLVCop2Jq6NU8Le65xfemFoMOXqAkxtEbbeq2xA8BTFzvUy0HQPHWooGkhdVr/vqDKLq26pf9XVOydlRx6Fwi2b9B0IYV+ehEEhc9GoMy03fN5tZFa+P13Ukt7dxPrwMJ3wW6U+WiqaUfDyZFDUX9/Btpx9IGo/o3Q4/K1HN6Y2tF9Ge+VHhqdV/RrOnAaXnUwl551OjSq1ye7B55scaKhoovoJgbFUvuHVo4qPy2dnWTIqc+SRvzIj3JXLFvxlG0ac/OydX1MhsT6Sk2lDIh4aa+wpUqZ9kVS05Fc5Kd6+rSm7DkX5eoFozCzfQ07ETt0dqqpChX9ndWdFrWLRldnnZero+ZqOGkL7P/QLerbttUfCv+sGKS6ysuOXiv4tyi6bh+xY+39+VwOGfRQBois3+9e0uLMxX5Dw2yJ+RT3Rum098clPXv+HhcLbEuuHpqGfz/B/CX8qrR4uz7WxO3TaORtJ3KAQ1cc+Wp2AyN1T+X5Fbsth6Yzv6HqWd200js7dVJCgUnOVp837aRCvaE5JNuDfv5Bf+1sRj3SgYWdN9RjS9y3AWtQrX2J3TH/m5Fb3r/3bPaeCZzd3WUNn5INogWLlq0e0h2QFm99vrRxLtsiXJZ8aa/TS/rb9JUMAZtlty01QLiypUd5heyiwyq9SVAYf9RWnOw5Xg8zOj4qKtAWcUAqOCNhAxaLeaFEBY5HfjMLSzYkKsDd5NzSGoAlIV3AE3c2bYDqX8lI6Y4RB5TVQ5fPWDgS5BAkE/ieXVeuEEMujzDPul0hP6gCTFG6DO3kLk80NngHxQZgJ3eAQZd8Fd9gWpwqCcDWALJqM/ANDJcYQjrDQT8MIAMcNhwkA56koR20IexHB3e7u6iw1iCqI0O1l+ePjove0cnjTanSrLgBLbGyiR0Av1rSl6cdx+oL+9nYNjIqwNZUqhWgxbkLEOMtbx6kKJmqSAIIfMIc2qQhIAcBB35+IhbEvKIyqMGmZHbOKlIDdLyJsxRESlISeepz6Ce1gA9CKhXxtySkBcWEkGIufWbRBAiiEF2jp3EVBBibj0nPaqAzsq56F9djQO9TElid3LVS0vAh8mgrcdXiwzL42exuh+zRWr1xRLDKNzwYVLgUsILqkG00VCvQ2baoq+RC64x0LcrN9tKjNDdgNZddSfMLumkV+Sr07fDvbXLJaHGUgbtPfzgbzqrVsxd0ODMtAcprZ2RMA6dnF2r5YtXDSEDPY9KD+tivijrR2BX5ZxLJsrpTbq491DsNNMs1TGm4QX8tEEzo4l1JcIp8KvUrGh+3MAVA+MGDQoybnAWD18RXFB0CaJpA68JChk32G9Qxb4RQ1pTmhTWYG6zR0vV55QwcUCmDSydK+Ld0wYzSjJtQJhWKZ1IQ2Ullc4xnXvqAMcT7UprD0o/s4QMHVQto+IVOnVwSDunoOKV8wuPw6XqC2TywIhGYqbUD9IuzVcSHLo4Lg5Y5l4MQ46HTsoeXVBtMx9Z5korlBCGGPSEsk0Lq8pHwITKmESvd79bTPpiZ9akSfgJhE1wvp+dSdkwk5KEgrrbCZMI3dFAaIC7XVb+YUdP4WSc5eJicLbLhSkE+ItitDN4CUofYN7tYzLamKvrWVkSwPzkd2atvdSUbgkaYN7jf+9iAQziwe9R/zrRx1euhQ/q/D6Yy3+hJTq1q/9wIf+bKtm1pjz43KKFedq8NuZaPbNyC5O1qkikaNxLFY0Xmqya7bUvM3yPxbh2EM+0DmJlK9bLtOmKJblnluZmLqle1aBKgu8O/PMy+uOt8acy0nlftQ+Oxr1bnf2SCifhZ9fUtlfeOlMCE5NVWfVfQ/3w/m/7TmURWD+VoQmJFtzU5Ao8pxtvv8UxuMkB46fqV1my0bUDyVE2VvuTff3oR+BFY8s1Oy33vsrw9HYRNOt6bhlHN1L/+mAffr+0q+Vuczv7NjgU4a7KoisVOys1Bd9OBPRmduz/MxCbDcMFeQdbNo0VpDB3bry3uj3GVlh3mMUp5oO2sU2Htjmwo97ibCfTHVcZ0CrfuZf6fMyVn7em4gEsLzN1bUr5ZflQ9Q7HsVtwSV3FCLpkaq5FnWdqKrrAg8NpPgqWNYYqx+cq/1hFWnsWdgBJFSWVFvQcB2Jgouzec+tnwGKFuM2sZ932IQkxg5JBhojdj0cR/xmX+SUL8Vgh2nvY03stALkoiqTmNH6mJNS0hLo6XEa18EkM3RkNKnwMsI9XUAVHAGzrZE+uwDVI3YM8Sp790M16GrqsvWqDMDnItz6t9qItnS0a1MkAEISt6jfQxkrFj0nz5hiVdFAGu654PBhmpuC56U7KUaCyxqUs8kqIJphhCVEOPRQtjbqHjsDy8iFCMVVG+SqHjknJNnVCmrPP/Nj5ZviWq+2lHabOuwelWtW0hC7gpdhxCcbqh3Gd+eCYGhTTSFag2m3+NpI/gpfDFfgC4hZk4vg1iiKBWx+W2+EVlZ9AzR5LwUWrZSXIyCbBqmbjLjPCqmZVG+jEq++SPgavQTCtDBgwOq8Gv0o1C4v6g25IZ6ALG5BtiJXtv6oLlwmr+o2nJ274LeLC5fzvhVzcgQtbo3YVehc3bJuBq9uzsu+bGY8mkP7mlrewtL8MS1sOt0o4Hz+jrTq2UVjcdIKh1Gd52/T2AjoHh/WvFewxnj5yyHGpeADVwHLf4ji75WJ+K72gXND3I8PZLS128VKvTI+LI8v9JJjv7O/DoqXej+HkOl9Zerjo/GaDFvJWquiSj3kRG8wtHynIuh8uoI4cBOcwt6Yw8o1V5X23tLmQsOAfKybLffkDDo17yR/oaJaQJZ9Blvxz6FGVg3hXHYsjp+5i4E1yq2DVv65zPTxTAit/Ulj5O2Dp85MWZyWXpO4NYLr2wy2dL6DW+3Bv3jtANcPS/5Csfeoc9CFZ+3Tpb+vbt7Xy1lNoRtXIfYsB4uOx1IrGqyUtrLrT+UsEw+iDcPOaIv1fBKs4XShSfk37nTrkc3hf1dAzcO/opYicPrnuIm1j3uMnvMOVmVSz0/8MyY+ThS2ziRmGJdJ49yHiW2ap6VbF+lzy1ypU1cl531DwBxo5SmAc5ILPccK7ftKNQoU/ScIUwlCBQ5krtpkfx6+C7ZEUIOInaMr4+vsEzhc4XhJgDIXgYDSsQYI2kpeCED8OmMwTNMZk1oMUosSFpM4igKf80QNnv//ZA9vXOIKDB6wuFeLDxw2limCHFJUkKUe5EQ2TkmwH3OYpSrNde5QRaTROo/YYyxH1MPjowbZm69CAZV6Iw4lUKiqQjgjVaouXdjIB5WowKqBeodMIxQoOb7GSJJhYJWdV8Io1fFPh9s2QHOESwSSMlm+kY6u19uxitznY2SZG+vMrM334X04wkwvOqMiIzBlJc+yDm+D8mQMQf1HjMMa7jx7RyXO9W468pw+cPGeX8gfP7GNS18pNKikcPFGHEv7XCqS5A51JOqmO0tSXcedv6W6/kEplnC7lT1Juh7EnYzQ9aaqyr8QSlQWSqJN/kAjHy8k0I3pyEdHbHpO+kHhCyuUsfzoZ7YO5Is/hAmeLva4ymZwtfRrPgeI5THbBYcINfeaRby2GVXok9T0tHCfnQKDrWtWcZfl9mioH9xZsYIHRUWxMTc4pIxWdubGP0WbPbiZYLLGoeiX5FU72d/hKH9jbNLK3KXtqb3Ujx/1eUl7deA9Sv0WXursWiZmmuwLpChAAEBpmJLAr0kJ0b4vO/YzuBM4Ay1wB0fNlCGeki+yOghMxQUUtj+FXAmsxBkmN/vUIaw3uerQY4Vviq9GWwuIgcEm0d9Jq1MBxv6dTBy7cVEju3kJ9a1Jcj1qULA/YRUU16V+PlxWYCwWlwLXIGCsY1kFN+tWjcbLP1RzrwUWkLlvORAetS1KTip8qEY+KxIgICpNCIijM5EMJHo0qqc2lj9/CK62ozphN+ax/gdbwWOgeUqO0RO9C14/QMqUCN75OZ/hCBRDkD4D4Gv2ZpOdvfZr6KcQDH6FO1ZkY6pTqrWmZ/lZyZhmU6QZPnYIpYAzZUSvjPBeZymCQB1qeyO3THXCezBHIUwOQ5+NnliLhLiOCPH1MKlxYhLsM7O9uWMN/vIdHPNXJ775i7fVcZoTf4xFPtRfy8B8XrjPaJToP5CFXGS3cZRawxhR6n6lnVHCfCQN5/lY2iI+qbtwLdxmOXmbgLnONv8wIdxly0+qPf88a777LLKnOpofOU4B2rPaZ3U9rqwof1L96kcIdctqc2b7F57Bhzuqf4tFOiX6Ffo8jySicMKTfPLNlaH8NKuxH1Y0qziJF6o9htTOCrpkSO3Ds3BGgqdsHjCoYKbl3KqKg3hNE0ZvViB4AdSQ5H2H4iWjUAqCy7SQCqAxHDuP6AvSNyD3fUzvaF8EpqOQAA4crrwIjJfxrCejnpUmw1Q2iHg9yboRRWDiTF7hvwrCU6DyzJhA4+4FmORBPfk7vRoKc/VDzMxOfwCbpdyf2R875wl3Z/z6cJ3ycomb1iGFWdFf2XIvDXYk9JXQvljK8vTt/Lw4FZ9yX4uGHVDfCXIwF5HzLWgJevqetat2+ll6IKWZJkjYv3eqDmx01+c3aIIBlF0UsmM3VOC0NG3jQ4rxK0HOwi3J73nE0fCEoeqa8jz9YkU+hnkD8bLaT23MBIOhzIgT9AkHQsRc2qj2X5kgIGrb/wpjmbwEs0ZQCKlEbwwGSceMMAJLiT4aQ27VUACQhsHQU3KN12wkeYZf0AKZuYm7tw+jIxOUTzMMBaGRk50wQHMJjkNfmuuPIft+wPQgM+cgNQ357GwEhFIAM1MeCQrgq++HdwMXe6K9PjSEWGJpj0uoGgBoZxY1fcs+ENTWyo6gXlv+DEqR+mx72biie50b3UH8eaA8JA0TdK6QMkEgEvhBpioJnBhZucPBJTp6k2Yod3w1zEbiW38zwAQtpTL42X9YlgeXLg3HIUViSK0LjdOeFdIVTyToU42qmEQsCyRMalQ/LdYg/Dv1QeUUwVI6a1TCHLsikQqNybERM5zxQuQa7/CmhkKhcokGT/EUxIio3spOkTRMZlaOlD7zmuUPOA5W7juIYGFOdFyo/MsxFE+vem0flk1+wUUtaP1Tek8YTQyGAeW8bMoKgVEwLRQTm/c84RnhwfrPA/NHv4RkvOJ8vMO/t+8zbbqZnl/yHBJM7wX4PrZrMtOxJ61/HbZjh6Zy+wuSuzZSSGSi82sdkd2++Ro6J2T9P3DixmQJzD886lxKcZ50TmBrdX3d5P79423tNTduy792mkl3luKHMprziOkgn6ds7YwJAsnJ0P8fJmUr4xcYg9ScSFpaprzGpr2fpOHoXuEc002wEt1KPUynsd29SUH+GGceENYgSWVY7MQtw0uPODFsebHdeEvCMRMwBIhYydubHAaqRHvsg3rAc4OR2CQriruPlAIWLGYG9mkbNGIG+82IAAfZcfF4mmT8DCEA4RnL0fZ4BzAUwDBe2I/LnJMTGfACiZ4VEkeOLtlEUkxWHAcYQr2xK6mcFpf/ceTUAigOw8CWChXUiENMLoHje9F+Dm/7zo/4alqcAPL5p+k/MycjUrDEc/Sei/qKL5v4+T3ZfADHfooDY+XVt1RnAwoCJXV4oU+UDY47rv8wD4jS9BADxnIf6U2jGhse2XBHov8sEwIz50X+E+mvPo+Cl53i5mGwB+m/TBkAvl8Tknw/xd2fS4xKe/EsH8i8DoMuACLo8Tck/Qvy9t5vwDIT0071UZgtO/O0ixJ+aIBYkIJZYQvpxmTMK4co63jCAvqqqW7e/t+GGtpGrhFF3Mjh0cn+NVd+YO4iKG1WvI/U7EilsTiTZKDfPfeyv1+mgA+Ql9tqBeiawIEhekk/tzS6VI5+8pD5mcRtpvwo3KL+blYCKq5Nf/Zep+z2EcoTblcDyiW9WWpcReVKPgsJin+tVjGsylWKLzCUr+X5RwB3rjz5YghB8gCBgJlcg+XyghBstbxNKDNDDMN9EEki+kHjZaQEIATdageUTsEQgwQcAApOy8+FW+O4SpZx9QDMgCI1APLtrLzjBB/hBQm5bVeWU5AsDJQBAGIUOFA+m7xyA4drgUOJlyqYAhPCyfAKWCEpJv2cABOHysnxeLBEGUFOT9ybn3BEvy0dxdTBM7U/w9apvAeuSYP0lEZAQCD7SWnrlG7fc8Cf5guEIwp/wDJ+H4GuMdfWKSL5I5ImHOFkucfX7kidzWj6CQWgcIcVTpHE0jpacRsOrTmdZOO7j6UXp1TlDBTMbKoHuq9iY3EnZvraNBFhM7X2vSbEvux8g/j56w4f0CORGw5S7pk3SX1MVprnoVlLIxUR0yUJrysN0JwKLE6Kk4QatI7w1fw2EBmCIkh4eRhrfnqkvXfiOqKKBI0Tiq6CYLOQhMl/WGHhsfk8Nyl17ynoEWOyw3LVvWScBle3XauFL20Nee8s6EXjswG7Le0GJQlLWM8BlB+m7kLsiLe3QZa2ZKRsm5LW3gerHE/q1Tq/35COhfepT3p7OKaUJT/tQ2Kn6wqAUdgBD6Ediz8Ao/2QEgjAIOVgVgy5SgrA2CYtq3A5U4R9Tt+ugzuPAoPsY9J7mlgEi6ii/umosy7IlvTcnVzigzt80V9geD/ho+FNyhVfCcIVX/k9yhXXlg7j33XlyhRMNN8Yb5Mn4p2ut9ubaoUZuwXb4v0JY/rMSCN9Bbfzckk/nXHCLE3hihOTyEJ6UPpaGiRAEwTtw0h66p4Xu675J7bWgB87yfXTOl0OGPsfuQGbQmMOcdrODwZjBR71Vs92Kylymlq/hdymoHgdptzum7z8opj4WZ/JQg4BkQAsdrKcuogYlLgb5hkA+HGs5HkgM/mX6/u7AYZlPQQwea/nmxz5DNDdFDP4MMVhgZOZFDA4/r+gNNzEjYOpHoHycHwMv6BTxguzRC0t3+ADqGf01HlAf0bcAoBafBWcIHQhXdki86XSWANEclBJM2uyhA3uOS23C7IwI3RSCbt/TUfcB1WqgB90HAGEEjwKsVhi8PfUlRvEITbnqwsZIjOCTBFrbCLRuBmiNbUnDoTuUmSWEEPSSgX1DH/XSDmUY/OLa3vpg7daLbjowALbIkfR+4EASq0PTgULrh3KBHJfY7duW/Ki/kevH4Ow6qXT0NX74IrB73CBc9q9Rcq8JFCDhpsPI54TIPi103xCO/S80TMfEvJeEPL77kf85Jkjr46cRytML0K2Kq+tzJZq5fJ79E5F/wsyZNT5bIPz8UTqATl4kz7fig6L0naRuk6TorGfUKxJKVwNYCg1p3HAGTULfn46BRUbpLCqsDCzmYCidKRwWeiKRUPrRyUJ/yjssSjchyXAIOOMPZWY45vQACg1nQkOZ9JT7NeHgDIEybsaPB+pLkHrO2/UMPggmQjLvvHJ1QgTWbxKoQ4vztSDd+EhAfXn0faG6nG6g/pMMe3PGdwlIH0VJJ9HZVcezLFaOuyxLL84ZBJBOb8T6jcl3UJReT1F6ZhGl/yqKfKm/MwFsDMe9/zE0BZt2088nQzJf2u1l/6aB/YPl/ipTTSj9ozCq8xFd9aQ0CbtAHaP43FZi00dgM501lCP2+NPQ9+tDq+BuRx0gf0FXE0XB4nZ50jBSQx8/EArf7n/FA2OG5q5mDMZSgelHQUnjHjT8IISYkRut7yCiT+aPu30OjGLPQy4sjBb64GKhgQ63Wp+OCuyB1JHQj0D2zBT6dtD/HaSxIqfnDxcGOHV7uMQ5icVGBz38UHKH6Yehe+gXn/898hsk5PvowecIgUVsjkEzPItIsI9HTMMrAz3XQgH7oIdcaXbLonQ/+HMsAC4TBlgUgR1AJxYSuNzbLXEFgT+Roc/5Zd/8+B8CbejfFz1/E9OEDD7WEjAqHLq1ruj9mSf25FNME15YeuhCEn6ZpxQBALGbPNOEV7bXhAI/6vbmxwkAaoAWOz9MqNtauZ5vh1Lso9sqnt3SPBy3HA6Ns3tE8McLfd7aDvdfP9zT+9rhGZ9Jwj/XezGPYvk+6/7+xlNcNUzHwe1ppLHEfebzbiQGLYlyE7TBgskrP8pGhoZMyOE9zYOi4/mM833yjpyO893kzCl0zg2zz0wEnSb36Z5H6pxLGfWI/0B5mAEMmL3AArXwKaokCc8Hc+y6acyBSh/yYA6cy0/+BcPNSpQSMw/AIYANaJgq6LBVwCwq30v3zv3BJHpzRFqQpwSHj06mwGHioQWDTqmKqZPTAD1g9i88KygwghrAHnwKWeQ2u5g6GU5cdj8NBp03K8gzgjduiXb5nA5Z2z1jf6FxRi+QhEGbi0FIQX9CsB9YwjATVSGmqTguFnm2fxARfg0v1Bkm94+jOUD+LXDJvyohLXqQMB12gDgK7uakue7L8ecCx08iy/14/kCOX71dDgPvDuud7uswMPQyTxfevwMvhzzDELOxfh14Vn0JUcIRuh2Bs7EnGZGh/x6Hm2IMwTB6xmKHLwSlGP00GTxpHpliFLrw/40cI53kFqjzIBxjyFnE4BxjyFlEN8XIp8L6yzr85mN9uvCu4cTLYlwebkSWjqZ8iXsRuUcR5zMi62bPJ1O7p25+RJZ24YeBanR3XyOMyB5x46QJWz/x+eIvxTGEVxxFAjInqBwPFrhReWpy/m8KeFxOZmXv//jPXGYRD835eVkyK0vmUARoXu2VPwkfD8ICVmdMb2sCIcQbqltTs1ffqpK5ZwUjzQly3AcZ/JDXQuD/vPfkcSD1Z/dmA9T/qBb+bxPM7kipLwTPRfilq4oAuBoWPTAWUcTcIbgqh4JnpGZhIpToKgmCJmKfU3heuhwxhvahF+evyxFAtFeYE1yXQzlFL5/oJ8wJyinywhx+PPUoQol0RJWOGXoKxatO/zvlEkmZGGBCVcLjpslFX6OEYk/cLjeh2CNG1OQV2DZptY4wiBomVMstWQRVu4JMGgafMoTB1I9F2CfwWsgr8s5ERNQwm/puGPFdMKw093eZOuKkYYgpQ70ruoh0lwRC8Vc8ov67tmrOR59T5wOpJ/XMXwoffJXnFA/pawFSV3ogtWZr4frWhNxcgqc1XjydcAikp24tHuvlE8VcYlYVQOosnkq0xU2W8AKdIIDIDv35e4BInPX259WPS0ztSh8yMRyR2Ie3v0cEOk8QMrGZkIk1YScLm+o+5D7LaSMhnW2z+7aeB+YQ7sC9jdXc55hvL9Yg+ZNKc+M5OsL7NFz4Z+iFf1NQRY5XjUM+x5fgFuMEXo3zihVEP0Q25gYJzYxbmhNuHpo1Pn7NXWICK8hrc0LPQw9dDiwxP1KQ1+Z4pTlC1x5Smx7wTkcHdu69fCBaOuxpe4q1YXt8Z1wFiTpylYAHrDdUyJfW9rY4YX6Y9SD0UNIcooh4UIrivLrQwM69T9cesp1c7hZnuPamJM0lmccQIIXnqIP9UqTOvbe9CdoHnUdHGqG9qWAiV26o9iZ730tBp2EDO/eirj03HYM8ytDgnXtfMtCIHlvWheZG/vL0s6i2R/kUVeYURo8zNecl5pLsYQydqzmGTf4eoWuOpxnRdxb9AuZlbS7phcR+KcwOVnxfPrxrJXSuFgcOAhopa9NLFDo5XuXDLBn24rr7J9cojivP5oG3iMP5ChkHJCNfDasKsyz/mTa1DtcXbJisSEIThanJckoHcoUEdoxSiQ7HTd+Y3uwLO2qWNZ0Ckc7Q3kwq0rkts/FzRI8XRc5+ogsTq3J4PpoKdsbBlXsQlbIoBpEq5A2Wi4Lpc6g2R4ogBtFJBrJC63OoNmcYhhuFaHNCUgfT5xBtDoIGvJ+cObg+h5CNQE7L56HPIYNOQE6bfFSOYfQ5Xm1O0v3qmQCGMYw+h7bcoS3DesdTw+lziDbHNvx1NG99DmEWz194WjJ/fQ7tvkNNpt6EPsd9mxz7uqvCX5/DG+bMaKydv5acXgbaivU9yLaqJsvyizQCdxAqHS6Mi3dDnsJQM4lGwKBB9Z5XyEyiW1hxbugZ7CtJDq/PaXf33AUCMXf0kw/cKLz95nvuFHPrj6DnI+pzfgf6HO8x9Mrc5OC89TlUUzG5+zvaqvNuac7StpmtHSe31/vKc07rv8UDnVz9AgA6rFueM7llLr91595+tIcIdc7tg3k97m6426sozDcFjdnz7k1SAAJ3h9LliDQ5uOY8CqvL8Xbe4e8VAeYLRJcTxG4pWlpkQBpWV1U+jc57uvCv8Pqcr/joc2CmDhkDhO3+ovZYBAJhk4jLqJRQKiOAYewe+vgvvp4Vn6INT3ZgzZcOg9ZH6DfeVBs+p/t9hpXehD6HoOZhaer1EMYVAmp+i0fNa3RVrY+IGvFybFza4AtexvK9EZZiSTEZzTIeQ9TJ4pJboROCWLypecMX8Yz/vKFI5M4Tiz8GJK0XWvK2uIdQMG+LoFhacrK9TCR259mR0wRMHw8KpjktinOr3ev9OvMRuvJzy25UHjxLpTowuT4XsjkPjfkK38b8BDQtg3WVgpAhd/Gg5PXe61e9mmGBEHm2/mkAJZkNVLVzJVbVkBorKHZGqWJnqLEPxsZrG1QtTyrJhvA5QPzvgU7383Dz/5BX7YSS6wiDIT+hnxNSriOW6lCBT3jdfhrzwgmMhUV4j79ip5XhlQ0CVSJIdoAsJHB9HpKdMqs/WhdEaXuDCumLgqP1ALbQC9YjCOn90HrAmG0QsB5RsmPpvAm0zoN1L1noN4zoRxR6wXpEIT34h4vAenj/l0Ci8Ij2WUDrYulaBMkOdFu5b+Cbk+wQuU7xOy8uu3nJDmGECFLn9fTzleyQhurV5zbHfZuXZpA1ZiZBxGyicVU5oQoVGJxdNBko29KVPpiDU/U8VzgAsvp/WLmhrxbRYh+hfOEJyhWe8+MKk9woxW8GPinVqy7mph8VJsCIFr/p1qZe4Aq/RrnCpj0cSHi0/76PSnimAfjLmX3wC/jsqDm6+J1m0RySKGHbnbiJbDM1Tg4dA9cS0v6/BLQwTw77dNtDiXhELXdPu10s4pkLruIJRhgGiHjCEobzEvG4m+5uFc+86EI/FU9EuhCowiTdt2n7nVe0g9HlXILmyZgux58pUTiECiDdlWcJhxfdSwAPQmnN1kkE80y8P1dDCNisAbuk4NstS1jCZp4l/PPEXzzKTMGjKzxsPuYDm09O3U8ZRP7PHPtUsBmUFq/OQ9ZOO6ozF5q0xMnnU2jbf0LxTsxfUaPz19qqSx5pOzSLSsCo61Y0BU4q08RJhbmo/xWPnvfqbwH07DJKXtO5ETS7VSM035cAWfgjA+vTfYfOe0nCshS4Is/AonB3iGy8a5fhWdJ9VwtTh//hpglNwBqS2fOei14jn33AFd4BCGfiFs98+VWPlAfmDR9bW0vkPHQc67Pg4fOYv4fPyw8TjrCSwJpCgDXgb0sHDkXTNKq9NQOoou7DtkaunSRWEIP/rIyixhNoJrFxxO3GEylsDjKpIGwuvMyn3UlEPE4xgw31suj/ERWPBG4c4ecDS8AoipSXDrQPUGHzkvGA2yQKqXnw6B1A8o4CBwT5cvMnA9XIdpywMJ668+od/MhAqc2FqXqTcC+2cDKe2AuH/FylvAOCgSUJ+OI5JHcF1TsEIQMnOZkxpN4hjNZBu+m6MYzegTQiv0CMeoAMHPP69ACeOBLKJs6HDDxGfHoGZQAlOBU+lPA9H6FDKBnPLh8ZD4CJYrFXT6TpQDfH0t3/QCDHAl7HDWs7KAl4AsU3I+MqTZblq2mj6ypgKHAMWMDRwmTiUP9BKdnfp6ks2AqNvv692Ylw+78Vbv9XJGqSk6fh49QCJl29Sh54e5jsl+A8dSuqcGeoUXLQV8qD0IOQVdLVYfK/L/pJeWIQo3ZPooTjubvAGiQFGMbgpe1j/AM3+xRP+yWMD5UwjxK2vgXHtOYym888Cu21B61vobbHdPCc5jmQop7rxbS9GqlN40d2F0tjijtCDKSE0fJAyFZkqZpHywMePyBVm1+N+1j9gMy931/MMx8hz/Dyy48GcfoBr3uqer8bFaKZlWOZli1pvesEsQ4A1dJN5+MiaC8wsIg+ral2Qh4OK/xYnw+ARqROpeFR0BVePB/QpvcIeXTPA5/oawgUxtwnsGE/CFRidxDxRZ0PeRhAHIKf5rTX3Gei/sZ4PQh2RvZzmnL4vwpY69MU2R/shBF1j8NlYMw7QsPD1HCMuvV8D0F4M/FH9mrqi4BSgBd+mUEBPpe+Ih3q8CQYXS7MSfL1IgtqdMm79ywqcca8tMXdBfC17wGg/IS8zez4HsXI/UjXABhZjViGTyhJ4XnB37q9Lqlvj9uzh95rIjTToZe+EGacPoyxoKC99GC18cr0/dSBh/89wbQnoD488uTQ0mRxL32eAx3BeunzRMhLYdyYtNLdDlCf51nBu0GesxZYQYEgKQH3JxFATogBuU67/i4eJH9Y8OcCH49BjZsLfBrE7sCJkOFoS0+At+3xIAgZLo4IxDrUseesoHn3ASxikGy2bwShziUgA28UVpX3eqHyox6ozE+lewYJP7tpGMBzMLicTeDyFeJ3ecnrdAugpBekOn6Wl9JTRh95ThDzwOmZio98BqTmbhVoDyPfZw8wKaGIhO3fSQZjXkSu4dCetf5gBM7293nL2oH9M4pG7rO4zri2Y3b/1fvQ1H7uNbjMz8GSJyhd55HagFrHX2czPzX+sRWg8vWb/9O55Tm807J72COSPMfjtcy7ZCL2hiDPCTTnqVHVK7TJ1vggGh0kQcPEgjmSRqdk64OQQ8xX8XwwOAMjTWF1xxSDw6isdz7ER6QTCFQwUijdhpnhMThSJBHzMr5JEg6Dq1MUpT5mzv5Seh+MEtOMLpHpkZCaYzEGv9GE1vMWzzct0nnoOZU0guaYYHCXYMtTYwdE0iSG4hFgOKjnb+HNmgUofjMwHPTzr/go6ueppmdQfyNvmRncilCck+OQ6gw3uOc2E/pm8TF0fJUty/J6WmrOCbdKJ3Vj8lbali+mKh0Vr9LR+ql0gGnh/jEbZHy9wqvSuUek0hkHlc7stmy4z3NPMBXwy0+hXQfKXNLY48U3kGxAxTn+Ehwz9O/TiND2EsEEYe5nJhDfgP8N6HxIR4SocN4PKsNBPbbz3ulqJdmF6yGShBDDoYU4ah1SEWNw7wYptvfxd7IEvW3/Gci39hXjBBXioPTJHYLBdwg7SwBAJ9UeJc5xeVsy3FsEw1U3/AmjxIF56+L5O1q6lTjLUP92X1dvjwnrIUA47jbozq5HU1+TnF8GJv1q5qjruJsOfJ/20NvjStxEYLuICJwPyvlLLFrpsCQBGagJ0fwMaHy+c27oEx898ckQvj4nI40MSqEfOi9zQq8x4XVog0Y2Jww+Mqh/XpZKr7Eix36AOX/WVl3xjgxe3F5S6XNCXNKPDRc++Cce5lj0twIXaPSMDCZt1QlEYDaZGkyiPGC5QuHnRoFEU4OeQ+FlQgRqgAi8YOgJJGUEHvC5egJtOoEFnL5FId9HFXXYyHGjfW7xsaH29n3E0+eDMhNYaMdLydBeW+MHP0D1jRlI/Xce6Yc1ytbmacAuRtT3BqAcYNMD4/uEwPMBzQBzF4L3qceGx8/81IN/3wVcHMqiZ772PEULweJpnuannQ4NoGE6Y3RTLDE/4wdiX4nbgzs8pmDQJZj7AyoEXKAiYAojxGqHGvQTD/nZdIgN6sHttj4WYwqUshK8UsVmJiEwRUozkgbzMQnkPcI6Hvvzei7cLO6ih8UUvXhM5+saPx9MEVesnvP4x8/Dx0Tg9ZBx8gv+3F5oQOEY6W0TqXFuDlAAxfEMWPT4cnvz4PW+Pfno9yDgwe3BHRxQkO1/LE/zNLSCiLIATPc+AydA4nF0epUry/J+mjZndO+7TdN7s7uBxANuQ/0+37LLaQmusxcoevI5MH0LRpgijY6feN/VzCCw3RSZ7Lcx39QFscUE5jsmmGF9oC0mMN9g3lcCflbia2Rwmfx/kyzH3XT575PliJfMPKx/vJ32x8ARLMD65/8/shw3EicaDREjHqjNCCHLoauGd64PzhQGkeXwiyascz3ttF+YvyyHONfzq+bjJe/karYfz7seaF7fJ0hyBgpSl+Tm/xvV5Gihx56aLTh5g66Y62NUyam05e6Z2BLcvANSiXqCAZ0RQOJT27KZW6GzeRIcMwPjiEKoR7mJ8a8TWQ6x8A6RRTS9t4/hsusbv3trPSz8YzCoEweLn4itD3vZOW+AmEErcMEl4JaB3JdKgb84hXsCXMuYyW3IzwMehphDxeI0N8M1mcj/A2TsvsRhNMoadmfj+OfiBPCFEIbzkCgcJ1IwDkaJewXOUMQcUwGOCEaXHCSzya9JmKMomrCGv0CtLxIVjqBc/hfKGdriqtxo2qbaAFulOkhIju8sIYBokbOJBtB0Vgg0Ddg5wijh6RBo+rRvkf1PjxLKIo0SCgKc17RVMz4CHPbFydiS7T4AaVIfQoHjtJwktOGDEI2l5HU45UE4Q7EGh2zwww+udPm0OgUhjm+X091YP6IrVNALMAHWflKcIDKcjHvZF4XkkaA99mAyHO7Xz6FgOTmJJTP37Arf4VEYrv8ePG/Bsc22vdVRSyU5gtr4Q/Fw1MQ+dW9jKreGEaJq05bf1niKBG5wmbAjxALh9w/ekwcYv3CePGQeLwRW0AmePA3o9SVyo++NgN8rATLQDkhgVAGYabrTmSKOQsNMh7T3OSGdaX7SHB9ZDhabCYamARFaKvJtLQGfqTCQnYWxP29sThj7wTgY/AvbsxT3K12g1PFz1QzeipeASieE9aAvZP8SDP6Fic0RWw8CDQgJJaxvylNoyB40oiQcZL8M438BkU/zguwIZv/EVGAkGnAZzP2JfarmSwMOw+ifNzmHzHbNF7X/Gkb/xLFsYVE70llsT8RpvpC1UHeD606FY+ZX6PuQKOGhAPGJgg0acNNMhSk/NwVIBvxUFG1o/Qb8CAPIDVIG0KeTVJ0xtLeJ8Hyfk+xsaxxD6jfpgveJ0KGJTYIgR/BzZRiERUEIvlE5gs0UcYknlEDY/CaqxzGyzRAx7ZOZEyIvx+XnFc9n5oTIy/FrnYcdPWUDWueRRk/5vBwVLjP48YzeEKfggTkLhJ5MULmyX2BOMorrCRWaE8zup3dS3ib0WIOQjEKyUxBJTkC0E22nhr9WMkf/imggNSRb/0BybBnMjOR6ZkYIBPLNCJwXBDqH0kUHiTcnkFdT2CTuiEC+NTpx44PuUJk5QkpgQNtUSAj004eC8v3psJk5IXTw19/PUPuFnXw7fFtdlJejfz6WZxLdHVOSEGi1n9192B0PSHqm7dtLqn1nCnv0R0B+fC/PJSr1f4eW6SR4hNNp8vNbxvJbb2m4CO3SRYbzWwb28vlX6xvIoU5NDLX7rz29KbGRuxew/gcSkpbpTb7h0yUdAKO9OjlooaPzLEAjaKMLjSTfFjoR2vBh405NnSZGx5DEcZIu5zd0anuBsUhINz2fB8YgrkEOIgMON25BNiORt0egYwgUBlhcQgTtvNOUAhvqYG0JcJpU1Dya6r7KYSEZlsATuBUdC5umJOySw+D9dFOEors8+LFTZ5lxKXiY8AbJjaLGOtg++TAiPYLWBknl2H9+yq08cA+gEvLwQWw8xif4BTbY3QF+9CggaHkGckPIHGp4ICK02B9CL2IBiBC47DeN6hsjCwNScX6N9mBNdi/l4XoOZfCTqX5Tqd5kSSnnbrOP3GwiCFshaiPxWmAxgKa99rBkx1wIKTC0j0KTHdcPdb8TPKaPxxokB0Kyh6bAnkxL20OEON7BP45z+CfAtjVqq6wHEhstaGS/ioNGHgRrkJWVHsEynzb8Apv0AqTnab+T91Xxy5hPxNmcDpk4ibl5IRU2VF0D5LiG7HxhoipphQM1HuMXilMCflUhmD/gEBm/QcFghjxAjhsjZ1WSUgcrYpswKBik1EWoB8NIrOBbFUFno4GR2PkMCloOuGAk1huvGnxQUMz8GWEi1mNcFUFnY4SJWPGcYCSw4/b8ntlSeD341El45m8oH2mCNFRFGrSAxQBa+NfcuZUhonFCMH8Xf4/mxLmV89PZvNLCzPHmhU+sURD0fdDc6dTU2I/HWZy2jJ+Q02wCnUFjq85mWValN+XgceD/bnzA3UKqvglA+A5eZtNLZTbVFIVb/VD4RT+hsHvG6+LyJs2XnhbQuaiXVZ2ReGuTHmQ2uyNZ8nA/UwbqOtf7WPIMAMo/gHfDLxc9shyYCvEMINGt3NwqZOjwh/2wBNV0cegxmK8Sa29E6aV0/IjvrhvAaoLPL/XR3gSm5wDy1WPEEkuz+ZldwoaFAs16AphCzdjkdsg1DdtmF8VnyySaRgiP1I5K/Kx6fCNORdbf0e9efN4nQzvIfCkYxcO9DdJDhxNbfoKXStkkeQxhCTlUdNHNERoXf0RJwktxV5GgvblEWu6w3UYWHOvRMY/g+BjR30yGmSwMB5HZEKIvViT68qokPy1EbtKu9IfINcvn01SV2K5CrnGQaMlXiOv3rbqqBmp66Z4rBBULPRZiH8nvEcQ3lYXb9BQk/1H/DDTcz7qFN8e2nhb67Y9R4c2xrU4bYgJji23QcPcX3pTuKD3sQKpbi47z4htc8B2qvskrIAmx4pnCP4Hw5q/Qcm8yuNBkCvugwLAcCuLR4y++UTV/q88bov2ychsM0lwkApzzwWDOD+shSQeyMk+N1BFaUL/3FI28IrqGQdDQqfZPwcq/ytSYWu6eaGRm0fXxRm61Z6DHtz0X2PMjGCDAnc8vWLt7KEiSJTANsRH69ZCSTaN9wwaWBonUIXE6EJcdRskewACCrpejBj2ZS4wh1OzBwEjsMHgTBzHsdlcdGEN5wAikZbu84dlhIvogL1sUWBwyOBvCsj2Zxf5l6I+7IS27xJepDoVDIC1bPh9BjulOSMs+Qk00hblXcRcyqN4X8rKROzw7UkQf5GWjSLOvwYwBISzbk90Wcvo1CCKHuGwpNdEMl88nAiGQlH09sljBw/6J2o+Qks0FhmfPA4Q8M4KW+4RnuycBH5UHbz+qgf7j8HVOBeijgE4Bkv6jNpuj5jypFHy4m3xcgRSMpPgIHTrQo0NqSj48Bkk6nhSdothE7FfCCPzofcU3QU0um5HaFTH/nV4f4drf7CRZOuEhdQsz37TJnWqmEHlzt8OEwF9Ck4WhbX0CLH3Ww5wrHwUfqZorLVIYcxUFLcw7Bl6Fn/MbVRTfL4MziL+JwCCKYDWQh7Z35ibdTXXqF45FifAhkDXoMUBY1knztiN31n3MLj/zSMX3Q2fCx0MfdbsFr9pN8LRP8CRENmMBC10MrcBB8XAa+di90vtpD1HgjHkUOBAouL+txsMWRohFDh1f+b+dKHgvZG2HTBRsDdaaT+ucC5KIPJSRPn7b5G1T9RxocOyUB7Lt3qitqvRoj7O2l9xGziKg+Y6MQ4Zmg7TU0lbV6ayojyYu2xo4xYOIbkgDHdQ4IyidxmPjeAYOJn6+152troU53mHCETYhGLIh876/QGNwKkZo1Y9K3idbnvHyAzCnK3Q9gufoiDJ0dDGN0oCE7TRaMsAzH5Y/Q1U6p1A7BdJG8PEhIh0DL9J5N6hIB5Ad/CeC46Vl6BlZjWNJrEXjhdI98y2f0U/e6Z5XsnZ4b3Dwe8qd93THy8yDQ3cgcZoxb4+il7mTtcOnav8Un5wkTc6v8ZTiF0CjYxA595SAB5Sor3lM/3kgm593NScBll6i/1jQ6Lgbmka3SOePfKQ2oQ9RwPSqjU+l9DCI4l57nEtRVTQWTKQjErLzvfblG6vA6dJWfkoUTflkEJEOBSvuXjvK+JMaukReSM3zJiyB1HOCSMfLmEDk33NnJV76cIimas8nUfv+vuKX+b57ktuqpzmEVQ9lDgfFkdo3hVCSDyXASv/wX+vrG/rruQzw2tuAn4ABP33jB/+JKhq5RXBl5sf4Ik3tks/R6TxuVdDoEKfm8F1/1hjjs4SA7k4ITnWfmp9RZkByDoyWfgX8YYkRT7LPfGBQx0wgwFGYFJ0ScJ0SlS84ZZKti/bLwllmAn0BPiV8HEJoy0ywyZT7xeiElhKDTeaDkVXyoM4Bn8yYeajkiYoYnHckfmK08CpicMpEDh8cEyLsEmztwXwHza/W+Tp3q3PAd0fhl6gsxjFehc7/bUL5d3L/JUAoX/b0yo7mZM3WDpNG9S0CZHynaQdAnMN9wKXSuRbtxuTbKDSvpgKdVF6gU+wn0AkqfqjnxTkcd88QidE5KhLoTMFYoOLW7HSgBa82pe5bBTP73G5mL/zyNlzsr9OFT1JxCGnG98fFwZBminRhDanh+J9G3mAcmL4TCXIEPc4FUOaKeUKfaBxejzPDB4oJghwGqdBwQOh2qMDt4RVSjT9nSChDH0WOO2qpB5rnoSlDUd42TY58TO5iAbg4mhD2leUEk+TMGU9f8MwVunEv3xCljRZR15xOFGZ8X24MERUYNCYHqELXoUBjyzJChXVo5mTfUT5MSok6WwqjhICInzu9aB+FN+HdLQEVo/bQTI7gbnkjRPhJRHdLA6S+BxWp35S7JZ99ok0W9UzD9kvvmxlfSnosyz9Vt/S7AG1i/qpOBHjzPZHJJRhcluzz7aef0X+X76Vv1C8VPHrUbqrwypZLOv5E+JAqkK/4520LHj0E3fhzNN8i0pwZf1QTzKNnE1CFRUAVDnmFxy95MA1XPPFYTIBHT/6+n+0bQXNw1L8igb2otDKjuvH9H4Fcp9E9w0McnfjuevDRvfm01v9iZRl3a53CgpZ5CHWA9Psvx5DHK+xT99WNGnQorCu3yPTdNTmY+OmEOk4T0O6C9iCS+JfXHpQKHk9hxb/zDh0OnggSHCmD745P6nBIaAG2O+rAwOFgfUew3ZG2+7bgfdrvvtACXFtiydkxD/EvWO74oOj5CHWoSAc8dybp6RE5cNhrwAOWO1o/yUGYeD4w3PkGRFPOd+TPd9wPiJF35jvyJx73Y497iZHgQh2CK8DYz+SwdoLuF1pG3NBsgO53uL5pYm82t/d9mNqz0LxsspAj+VDQxe6TteMj4adyeFgGLgUKZ1HPD53AIgDOWmxRXyrYUgVbERC+zUby7qEUOCwEcnuMPAcL0dvDwdPlwRhcZAr+kQLCt4dDelOJNfGQvo3DRMyL4uVBfTPiNxAbdhgWwreT5hUmBb49ELydeLPePYJvz8yW4ZmAiHmxd4+PGodfGhGa8kFE8ZF68qGnYd09+fn6U/H+3839D1/zOhoKsHtX1+llFmdPxrMELk2hpWfR5KrhLMuGdGsO5Q+n35GmOTadEXsZKvTFC3PzZfoItoQ/H/rkHzwWuhSiUX8phC1hVhUdYS9eUnHrAYrJbzIOkJtuslrKoV0fQqrDp/pUZ/THW+O5jHONt5edgwH9H8Iln6F226I2vr90h8pykBIZw/Ta2wxQKjDjvwmW4LNWIVBHhZeF7rkzMaHjt70xk3zktvE85PdJeCgdJHbbN3IbfS7aPSQdkS7sckqRLd7sO45Ioid5UN1hbtXwWh0Su53WTEy/w0Zvu7MnyRMNJ3cgUoe/IA3Dm37T/MlI2ZP3fyykB87X8ztk9iTowKb4ZNUluvnL3m/c+6CxzS96+2EA1vOot1MZ6fLJB1TkhPCI3oMmT8J9s7RcYF4OSdtmeH/COf1HPLp+WH83oOtmj+rdaTlLiENlbpVbojN8AQfIljXBRO/0oimZLEkAgG30N8EkG34AbThlTHr8S4CwVaLo7bRQaTk8bYgWbJb6tTmfJtY+PYQ1bPc3+H6Le9036EFbMvOlCDIdHuMc2976hdqt3OVlN8bCcYV9DZzsFI49AXqdWVzlNB/UNzrQOIzzGalMh3VR9+xct96GOGkHyu/pXhEBK/wqPwaJfXn6mMURRDram0Hq7I2j/kidhmqHyM/xzc4Bix5EAkF5qXA4uA4WPUKPvlRwnAoF19XgMHgXMkTW1YNDT5AhkRBePWDRg0iVRtTVg0MP5r1UaF5JGK8esOhB1LphPnAdHHp8Ke8wunow6ImBrBKfnJIIcB2MeW4QkP7hzerqwaAHgn/5nBJ/kXAQxA4GPRJeQ+puas7TqwfMeb5BQnTcMoh5I/bFkHnZYeq8e1A6Dw1EuTkp0/J5zXtawwfcUDFhb6Qkl+QoqpJw67qBB0SkRV+YnEEpwFRKAU5vprSeyo8CFEJEknMB9Xvs/kjIwylw2Bzamw03fa5MshV+WQbE3ZTECEuZD78hi0HQ3Ljx7xBq5v0qCTrweLIWuce1fcpsp4mFmFiQ4USU4JiQx7zSOwsSTIJDrX+OwlcVs45kPDvEWCpMZbuETFUf+8pIY6ls0qslvA5nfhocBBk5kYJx3KE4CBJy+DtiCKcfMpwq1uBI9IW/jWz046vB+XSwWPfQLSKjb3IW0N7o8WXQGs1rRzWriHfhv1FTn6S4q7QtipBLDXxQUqhgHL5LhMC81RukStHNRdJZF7VFoRH7yT+mO32FOKFEOJUhYHQlgdGHgCQiarT5e7f4i3D+vkODusksWECiyQ9DinCORRfNucX4QacLvS3Rk57mes/20grDkUNyq4+3N98W9bREZ9wanItbJvN5zvCP+vcmjacJb3jRjzcsbwjgC7+xl7ZAoa03BHOFbfvnoKl3kLpxJMAiprfV3WZBoQN3I6LS4d3zX0BFhnoUvxOkNzAGYy7a1QXzKhbnYYPWTq5IJ0DZ6tamH2ZqmJJOQPlqOEVfC9EwF5rltHnon3bjk3RjaYGgJJj4+hSB2v83Ns1hFpA2zXmZFggieTpkvahxXip2feLnAefReUSlAfOAwVQ4rQFx2kEaj5Ub3M7cro1ouce9OAAQxwEYFllyOzTSsyc3mT0W8WEgBkHHZ9HSB8K5FsPMlG6zR5DThFLkJAzNB2BIB8N6X7oBxs2EAxM6EDwqvxVZleMJ53vl6sQSEbgIq8rxU+SgudfeIejCMwNIVDk/qBNUOS/V+apyPDPlHDcy7sUWD+0TbAATG1MX7KneMb3/LqrRKaAp2eCkjXgW3y2uCSLYIetUnH8dLFX7gReO+CSaUaLk3wLSb7zJNzATgLxjgSr8SXCsjVyxw6Ih7FLBwkpIP0jwq30pGtYYvIL40GHZConLI0EGb0xPbmqADA2GCBUgMQ6UofnygORK2A44m+yDAIpCJVZSfhxAtoJqkcPMEXpmCAFkpwiB2QHLwd+VB0B2M10SkTNwtgC6bnKHykcCQW5tjleXAxD7uWDd9zBCNYDZyEwDs4OEZYcSqoVMlg82Fus7EssHy99cBk7uGoX1/AiCYTAHEeZcyXvbHVfZvMqYZflR2vQ63CaY8kxDXmX+56gnj2oj0HpgxKPNnuBDK/0CKxtCgJSGoDnZA9vAQM7RNLItNfvVbfPOyea4zy4QulXP+0CT/r3v6Ru5OrxND3weGdphKZ93r7mVN94hyNabli0c+Ae6EFov4vymYMoEG1RBIrM1M0jaIQqF9EZmE1dgXwU6ekWKvK/f1BbE59LLB+bHIiP01QPtvoMh4EZNjQtKgri684ygmw30Nta9IpznQZZzMERjHQZxiXOq2/aSWl7+En1w0Z2ZLUxP8wE4ugVGFTDvrVAqlpaXlE8SLDSONp4Wx2XPLPou7a4fizO53XrcJCAlAMm7mEdcdiUlAa8wQZFQUItvIS6b/73zISpQ4ADDZxl747L/Jyy++bRstyLZnwZ0My63+jbYS9oevxCEBqT7f+HWGtDiVFES8EeG7DyaEfsq83BhIfLu+8G669V2I4nL5um/QgWJ+Qtp7/156K/z7J8AcNgXj+ic7cEIwKA5OCAxvpfveQYygEFnqf6Fe5070U3lOGEnwVX73zvRyJ1hzi5zas6v7DjPDDQOTCHC7X8OLvkEAESQv0MQNpIaEd+jh4UezHGTFjCx3fTJfIfSU4Hg3WO7GeoaxqgHDF6ieV552dYeLNUG+KtGMuWB7uOkyB2B0s2hm5HQg0RuBO7XjPS1iaIYBHqQoOQNO/1HJ/8Ab+Gw03908u84hOWEHmYtAvaDSsOEehRpg8PDj08hDY6QkePxX/bRBoee/qOTf/7aYDLZFSYjx5OPcwTScjw2Uw8HqORDk31hAvhCkn2h8/ciOvK4A/h88/cikX0Tm+UuOFS29DjNna30UGHziZtmkNk/HXB+wtgfB3OA4Ub/RoHbo8abHPe6ZEd341aSoANFiGB0jxDSopL1Q8uwMTDuMVVRWKRfurYaJSX5gObQwhsW8lDmE6jtRHEu5DWUFwVq+wFmVBj3kNteOJiIzIc4BOVYAT9WEtLM0uspD9KxWHeO6rzytN1Z2sMzD7rcUyWBvGGg8AZpZsoEg4d50IY4riffy1PPgzW8kNr7yuQrAmLyHTLxScAJln7DA+ibq+E1CtcTeoYXU7xAUk9+KzmzrPwc2gBjyquasyy/p5RhZVyaGwtBkT1UGZ4yBLpwnYtFYt3oHKEMa7xKiuMeJQXvW0ggTyjGUDDHDLDtEcwxPVCINy6MoBwNMWjYG0wrT3wy5xN0EnvoOYUQHuFGQU9RPmhm99PaqoseyvDM9tKdIhRE7HcU+Np5/U8Kvr9/jb6+kbPCDf+aBMRwiChs+KNMENi0+OFqGMyJISM04WN09pllaKHX+YOEa68yJAXpu09Ds/BZWZ0/mPaE5fi6/EiTmPMXkNsDE9KTNGXWVvMPqBKHOj65ucW1gKTnxywSu8AIzKKa/eRTDauCEMcwy7faP01ijtfc52aHVVU37sUC6TC/QvIrohl58wMCsfgZUOMQUtGNpn3tnxJ69Lz1k1rygEmwfzK1CfZPTovOLcZ5gU/MEcx8cEqKS8ykBEfUfL9yeDMwhyvFEEawNvFNzCFqHMIi9t8CodkXPMzhE6ETc9xGPn652UJnco5E5lzxicwRKENxbnYE2pD0JMWUIc3NZt1inJqwkTmnaGSOJy4nUnC2DzY5Wn8HDOqf6u+t57Igz2pX9uHdbfUxo5KriY2vlRx8AgQ67/8bgpu+Ca74fCJuBDN9HfkckSzHLcoBu1/PaEo3A9tHQP+Donwfadi1/OYrVB62FTu+i4gZt17GqbrEodhLcvO+ofDJY+ClOADKm8V23Z8KkAvOVOIG/D8Bucis5/8QIOfNegTfVx9AHr4B////ucDPxJSIGqBlpo4WzRqnGTC5Op+ocmpULxOyZxYtG0YoYzLLsie9P2foE65PoZ/hzeb6Nyb/mLbkB2lLvpdX5Zzya8nPhTBR7q1+59yc20j5DZEsp+LW95rabs1+gI4A5lXsgVDs/n0zNBQbPDc4BbMLflkL8zpgvwXOe7C9eRU3ANN5t99/B1csYQxE0ReNxMHZIjYhqPCGjk0DvRbUrMddCN4onGGJ2uVr1hPo1eOZyZiv8oZwhL+FRrKAaCJqbxLZ9YX8mIZAEboNzvy1N0ARUpuzQxcQK6QA+pgqBE0AHFOrjUV5TkgBlPl49WRimBM8rrS0HGc07n4pmRKsKn/IZRoWTQmGZQjJHh3BQs3ULXGx8x4TJLglGXzje/3HBAWKMMA0PuSYIKlnfKzlmzc3Jggjgr0/Q0xuIHszr0FBie2CGxwL6TghBwV38+BYcOsJOyjIU4Skn04nBQtDuPUEnRS8BhqcjURdHGlM0EsRtknbjnrhjJcjbKQaHB9dsaAp5loWbOYvr4H04O2G6f0nGk9xJyV7rAetjd8Fca7qX9yJOr58MWxNIuktCcSB8nIRS72wNQbmO8jEj6I6yLXRAm49R5gIc6YQKQr3JzJeBKpbwfXSO4khfFyIGQ05Z4pAs+4T1BdkEoPHxOiBoTsgRWdeRSQAY48bD+zhOjLtF6IFKWo/Qr89ttTtA8V7QPm3ID3tR7DgGfaAZtD2+eh+RYQKePD4AOdgLUh3+xE8eBh/9i+4KyB48Bgjjfvxo37gwaOGQyIckSLqPP7P0ChgwXMkUJwT1o0H3Hd+HjYQxKftCN473fzgVcRAEJfSS5wIbUfw34E24U3aloBmc3NO6tM0ly/wsIBAEOGwIMFYjxJ0cQ6G2gXWBO7206oc3Fdwth6whWqjNnl07/Te9wFYkGANEx+Vq0OMLkjqpP8UKzTUIQ2KzJX4sdqC05TvFCs01FFkVrurE/rp0jCadq+eHWCJIqhFg7euhVsudNMVdPzwI0VYiQ2005Mix7/TeGxopit8U1YjxGMHGPSEQdLBDHrmQ217DXqCIemg8dhuf54wCjS3+gz8eeRTX+L41NWbjse+C11/DUmEkUJvgz2SyOaDwvv/FiJ9MmnNmWXQXRdV+SJPmatygJhWM2R0xLEpHC0IJt7AQ/nbNvvTgsAFxopMmyOY9IRKzQEe8FzQ5BziJjEvnQSwgRpHSJOeYPk5MKHXmxtosMJl1Dfevocs+Y/gli+ljfzOtlL3WIVbY+Mj0EGsC3rYRfchM6z3MIqb9UkxjxgRHD73oGf9o7THmZrzfHd9GAN/Psd0mNhnZchfbjNCbC5dNEC7XzpbX9Zusp+QJgGEPm27gKwek57wQdrADerkWoYfRqQaLQ83uCv2oMVh1nwm+sv89gisMqEGEQhviEtPB220G73kstGPWCZW5FqHT4/SbxZ1Rm2fAN2ND7k8T9vvKRDghM7StoWQdQXkrPMpTPNstMPAx4UmrYukMH0qZvCvqHGmOpsCH55idj6jrRr2MMxEbkMtn8D0UgA7hF7efcCoiyFTqVX6NaC3EVGDNjc1qAQY/W88NeiClBzacPc2279TFChl5+0GFZCRc7gIyGlRdzMkNbhzI/TYIUx71KtpvxyBGoQuu3+yyCGiuCkkipssf+tLf5se6XTEMG03M3jkFpKPAxCmcntrWe3W4+FowbniBtDd9Ma646041eNHcvb7ahKqG63cML5wS2tXB8QhNOPexin00WAj54SrvoTuA5HYPg0weR7tTgPyi9SjvtpwCRjoYfzGUaADInd35weYvCDteQxMdoiMMJ/KNM609QRp0Qc49fgMTQt0YBJC8nlocsB9UIrOYlK4vgZTQWdkXeA8SMs3THAOEQtPgvWgXwmHzs9GhZUosiYH9DiFw4idhyYHQPpkoZqZnyYHrotIMnxU5OwatNnpBjEcc9pXUjY/CX3K/ZoZkNHfhISe0IEwN5s+T00O1L6D8xmbDdmmN6LHlnWRE6tH+VQKkeMURsNp5bra/wycWFXZwnnFJn8vERxWjqcZ0XcW/QJYHptLeiGxXwpn1K6VMCW4WOB5IDhbkOaANNReZ0wmw2C9BK7nqDyn0Sw4eL8EnfqSFmeXqUPDdfeX1NZgaub9TLTACw6juVWXsiw70vtyMFew4Rg07PvAQ/P7lBIcoB6a3dTAu5ebuHHCz8R7Jsi0ljZjkNKAxN6kYl/bPoL9R4Hxu8Y0wC9GmOUBSAD/8RsACRDkEFdOCpZFbXW4m/qMZYPUZ9iFpZ3bzRQ0U8AMBe8WpZNjv5NxN9d16CGy3ryeDSFTuQOimvhM7mCyHB42H1PgMFFN3va6iHek0TjqubRm8AgXpXDzdj/GeJ/2i8eqFVsZJJpL9Qwm+rv9CE4/sS++B3HIHy6k0hwjSoqhiKnH4wpOKlAEl2SAlxB7Y1ioQerywxchX4NioOQGSdJrF38vjHC7axAMHXxqkB9BBC9wG8yK7Oo6Bop1tU7acfhdyfAyYQqRjwuMTSewyOWdP3RRWDQv5qcTaFaB+dGFFiELDXcYgp3mS7Q62S9i+WyI+cOzIWARke4EQKPIsGgw0aix+4uQIzqBHz0/FzAW5u68P0KcwD/WViGPE/jk9tK9bkyUnEQ0yEACMX7Dhw1udx+dD7P4bwbd1pZvK1RSYQaRh0RP7nkzEBDJ9nkIRY4b9rV4m+sHiZ6Ed988BZeBLYLVNot4uQ7BzkSwc4ggcfCWtthsxHWLNC7a1FK0wqAVPMU8+exgvQ/K+RqG2vSakAOm9+EihrwGP2584DeqSnacwHuYhySksp1nAFELeR5uTVeEm5iP1+XJqftnRb6Wn4pJdAGqbmOuzYtJnAFETfK4b4ZJFKjoDlIsZZDf5w7PaRULdwRPKD+RMAT4oXCWgW7aMAk9xHosA0PE5/CWPqoEVMhH6PiETfrNDAqo+mJB4XAKEikW3DHuIuWOV6dw4bFgQGRyo+ds8ImevBkrHz9DTKmqZL7W3c65I8MUabuNAv20msHCdKA31hQ+PVhMFn4DJMKCSvPmycJYkAl/Co/jymSw228k6IOQhe/znaVj+y6g7kYFiUOraHz/KwgytjYA9fc2HPyetRpaxjOPtZr3wAtw2YYcNM+dl8h4/v2/XcVTJvhb/VPFE2Qc8Z8qHvTkIne6zqdR8QAu4pa+8+Te2LtOrvwdEfD0I7jvrlJnWT6XNrQO6wUBzxAR8OyhAp6JQgLIB6l4Z5SKd14B+QRviUNmCbNCwJesoAKe7m1NJ0C88xQV79zslBfH9U78i8+kYNPe9xREwFOqgKM+2cP7hdHuUK8ehGqk1FEYtDug9HEFl+905INuBoKj3TOo4eQ7Fiu2LUDunTGCfAekOy+uh2SL4IHbgRE6tiNGPD/5zkHzgsSYoNIuUY6OX4ZOTNJzKzz3N24Bj53rTI4L0l1um3hhyFC36C0pTBm61LpO68XYJ9wC5hCG8aBmp9NO4Q3jQc2OPPbHgkPU/B3jQcT+ic/clHtoxKOnmEczVfBPmRcEmnM7HX4KCESd4+VWlGN33uI2j58QxgzLynxMkwv1m3hx+wsF3yvYYzx95JDjNAjca+gYes+W44LC/WFi+d3jJ26vTI+LI4YUzRAbFcTI0FUJQ4YusS9mzIvY4G4kiZTKv9qWwrwIFGK1yOvbRDnE5Q84NN7bb7MkXLb2h5VAIb6ucz18ngwYngmw+xZbfZ+r/dCt2VFe5XhX2yDah23V+8b3nwLdTqXZNJegKbObc1drSm0ZRY0TaAD2gW8D5H8XYIwGCad1GGUOlfiEY70BrxPxDt/YJ5gdND9HGdK2F7Q7Ifv2vtKda9RdXkjTCVVqwaU7nlJLTbcq3FY9cI10jwzy0h3engzsonirqNDZfoHaHXcNCvZRPsgj5KigryLCR7ojauD76Yd57U6kOJ1A6c7/07F+vHTnZuJ0hCidMNKd0M370NqdSLpht3Tn5nTDL01sznkIThTPYv0y1hjlV5Uv8UOCohlBrNBvOA5kYD+QgWQ+kJfvDFJCsJcSgqdEZGB1hnZfU/U+LhuG+l6XbBlvVO1F6veg1Q4Lmkh3YKN0WkKNlsjl4MRluddPrxNMqxMHoyoBMau+idskemy+YduQ9S7hnX4iCtxdsehL4Y1+aIwCH/l0M/GTmpuMn3STidfVuhB1GjwoRxA5/zUmRNigb1AODcmBYIWyF5e5JLweown5uvywKZ9Fv0KQMeir1kFzI7ERFTu+ah3XjIdDDB+zzVftdhN05fdIYzZn2Fr3wllzMuNVUr0KXIzGkCYDZVu6KJF4Je6CW7xzBYhEKEUNn8oaZoRsKSpH4GjIj5CdJETiTMhEQQDe0EcNpd5JCpEomBSQKGiEaJ1Pp97JvwGhOjl+odsP+SRdKpZcyz2zFDr0q/ikN4LAhLbV0lePCk6Gbg6RWUtaq8dr9+qq2j00YuWOsq0+rdVrMNx/oaFwH58n+Kb+19BaPdz47xC6PdvI7YVrfqyUyPbgz4TX8kCjTA6N94haHgZFQZyUm3AOreWRQsAOJLXPT8vzBIMavf16sh9CV1coLVvrGUbTIDevkZIhWBUuxgwqcV3yqHtS5NQO5Lfu6vLmdhMAEylIGJhqcZAwUgazDHIT1R//JRRRHRjdHT62+3+UqEYZoYnqKFpkzrt1Va3/4VX2lFUYNEm+plIJ7YV38TX2of7Pvu17TQGdUQSPzNxO59NULh8sqttX2QOjr88TqpFkrZ3eALj7bPjuPUTrxBEvQkI03gBxT69bMe9sfzRYcCUE6zw+gL1JOz4pO4Kw5wpp319yt++BS0T8oLufH9CpoKQiJOpAl4lg8FOQZekr7jk45xb2GLeHgi8weHg/XJ/Z/urg3SV/x5PqK6+R0UOfjuY9DXcga4Mg7Lm6u76BCHsUt09sr8kj2D8N9uPmjF82jqLZvkauUEK0fkj9AW34uem6oLE6oMufD/on6Tse9A+SoD3M/LN3giB3yOcWqX3IAuLDd4jg55Rv+E5QCB8ifMcN4QUHLDeEDx++44Hwgdk7QSG8KHwnIoQPyN4JCeE/dfhOxERMc2D2Tmj3n6DZO/Nw/xFl7wSD8CGSub8Blvn+FjBh3H/eAc98FY6az4hiIIr/Pnjmk6h6o4g7nI/7z+z546LwnUz8JImC4xfdA1ijk19WXuBNwEUe4HiqoPdjTpgtswKQ/1fa1e+nIL6J7+r7dfSDuX1rM05AR5/rdWtJdb8UdD7knpt5a1MFpHITq++mpn3cqnONkL5TRWw7FDDxw0/+0Z474PkQCTwGaPV79kHf3J33PfofYAoLCxsDciWBlVDy+h8OkfoQcncG6cwHNAulkxj8PH08hLzbo1f+Q6Q/6p6HEBlMFHkE+QTv+FgEuTqDd+LFUneDK15Q/jxuQceoQ5CvTWYoi8yHVNJkGGEk3Zgg/kA85wyDrR7lT+urd3nFzj5mrT72QKJZ7ktq1APwh0S8kwERKoPncbWt9STTqik9vEB6ZRm9EQLdCBxjDGnQ6xa/RScXL8Y94cY+F30nF4mcGRxWwnE4PfGQMEgzKr3Iemz+AYMfnAslRfPI0HjlskfSEWT09X84YPA89Uq8xg8u3qKrqqTg2sM2bvNlGws3AephYn+5hDCO+u8B8jntMQrv2fqhjsp/Hibyn56tnqDuKgh39HjDNQczCs+DtO4ilwfyXAApkGhmXUw1gkPQi4B3qkX+4CZjb1PbUbfy4nFB/nPUA3ae21e0ff8I+rBqav9HQAG8KNFUyj9UTjTeuI6mGmuR+nUJSASQTuur62n3v4xRCBCcpfa06iGHh7p7u3nqNuZ9og+icrEwSh9vDM//htLnZshpTwzPzZDTAsqA/VCI4Ymk9OFjeMp8XaZCKH3cOTyhzQb5xJHh4Dk8QVFG2BgeH5Tx35LDEwRliJv3EQxT/HN45m2Y4s7huanmfZAcHl+XOTHE8MbwfAqljzeG5yaVPi3fDhdQfAhOhm8t1pS1M21We0OGZxQHMP1fTq9yZVneT9Pm5I7uBdsejvj2EIfe9yjUJzaduaHCtkAMQT7HKfZJEQ/iCGk8SG5Ug5GXx4czpNz+LE5CHgdaX6VQWaD/FUR4o0jpl2SUBTK8Ufj0S6IUMqLJZu18/K8ISQkh3gjCOCIqhdhJJCGTUT6utEEpyqUPvGYUBfLMI4wnmBN5CKVQKCfySEqhL9jmjniNOOenuW9DxkmR30S4bHpyHX3GMdK76eaEQiLT++/hmf5gPkKRPIQ+88jfHvVRTvPdWYrCm8kaqcn4GsHgvjlV0+/EuMO8GwSwdK6geElu/o9oRz/d3boPJBKf9mTwHAvR1j8WYirxUmXTLDT2Ewgoh06XNhl0PV+ab9bge2Vcb+/P5uHc0tb4+I42APo/8LT6xdmYwcJ3XMAMds0jfIdQZJvmE76D5RIJUe8EJRH9wnc0jcjogdORwnfAFUgy76zuriTJedZfBUSyugVasaoh9l5SGEJaN8BpKYHTQlq325c+0JN+Hmj6ohpa9oG+9BHnF6FVD/ZTRPEcKq+bGtOTsNWwcBpyCf8LfGVlfEdVKLFwzXto2RtrfdQW88dHP8WFc57cHY85fZFodrFMMJoSZhd5W/pj+ALB0nxaN7Gm5zv3TkuwtG4LNOyNPiKgs8Fb9zpCIYJLPXytykARULCwbj6oezKFfdCBqaI5Ylg3UIgxzd/q86okqogGKERWN9+8b/pkyGDvsrADCLK6l88rdQcCupfWbhWnc3PRP/VxTaYu4ol86g5Y8ffwE71a8PDB2xvyUhvf+xJSNXJb4cL/objVHzR3h8/cmQ/Z9y9tSQxP9oENA4T50E4/wApalwFKfNrNv5n5WfX1WN/52RAd/aDdfDmC2Vl3+E5YkI5RB/D9IDwo8zOvCqL0gbaJXEjfCQvSC5OQ72S2kHkSrJuP4hJQuPAdL0iPA132vNJ3HGBniEKn7/iB9GF0Ni0wcJ7vlEKzxik2Aife5H5keESQ3pfKXvcjw+cxYetKAxk+6+V6Iiny4653y33Cd0LjdH51qFM+h15Gta+ldk8dUz5LFT+V0VPMRYl5b/YMMDsyAytJSn6GqH1OAxv49KLfA6tzXPpS4ileaAFqn8XLn05GgcYuNVTs068BoUWRV+yjWMjDEW5i81ZYlJqdXUdSr5OhwkG0sAf1rGrIsvwmTZHTC0k8LPT1FRuTcygbmEltf2b5JJ5EYvvDTdxPRwqFi7ItmPXPALh1juzNrqZJPDXwSzrM+XxMk3iChfBQzPsTQfPzfyqIx+sAGySI52VixhM8iee/Gf/6JvH4S34C5D4BQTwhpfIwSOFN4gkh+fH06PkiNBxZ+rhFe5QU4jGP7EcoQ9Kl9ytEKvn5HlZfD6hGQR/tp40WVeIrePLRINVImcVy02GHZvsx5jWi+BlB+uPoDOTyIAi/sls+oUabtrgSN6NoCzDZZElRhYn01pA+/Sd/WeeyeRnF0x5GMbzJ5mlS3KCbp/E7kNbMM4f8nzk9Xyn0p0HZMeUXFPNC2d7UN3eb/lmeSPyz9sXJ2ENVMx4V9Nj2sl2+buOX9H/iJxct+luBR6zkxT4p7HrdFodmqzvOO5s2UDVeMpESiY+7Y3k47sTyFrdOA7+/twg0ZQTwDO2f64W5fslEPbesu/E1wOzSKEL2eyn7gIyeF1FRJh4uIhHtBir5oeXhNp3S0B/LoP0VwcrTCLuaXec9TfdsCZLQtvtXAtruBEtEyqg8B5/jZwzkIREv+rPPE5+80y1cx8JRij4sc1C5j6vwjafnbb4gMl4Yj9ao/cY6PLL5kHDZhe+f8UajemYPBcnPW2v2rXGbhD8iRswlCC0VHKjCpnhT+fFDLHKFQCY+HXgECIUUkQeXBA/xpomAKUiV4OMS7lH8+Kl9fg6ktJppGBYpfipvCZ3T44q9sJFPJwlqZB8Y3I3iJA32Zm9WT2Bfvsnbl1dAizKip30ovpC976XLJ5hggp/QYp+56Rh0k6EkZe3XD3W/45fVE5DT07JHyOk5ssc3p4cbvztYW2n9fmqYMtJYnVZrxLZDsf2NP0bE6gPyOtTX52XoCb0Ar6Gn2OiLRl8Ka/nkfUqfXhI06+W5ea0Mvdt6DI99O/UISTThB275
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
JrydlUdJ4OH660zR+zl+gbWYN5WM7oMObB3sAS2RwKZcnSERZTcihOyjcjN3/l/WFvgx0n4uKLlQ9LH+UPXS55Rcg+E1G2M0axGZlIuTTuhMpVe0KkpF08hV/A7hh3HaJGLGxwWrbNdDHMzf5RWkVK+TiSIVLSImV5XHnA3HDMdy5edCxMy/wab/UqUpiyQk4p3s/2r0uhC+G6D5Mu8YLjARXB+WvhrsL/7TbKxSsQn7Vs7LeQV5LzCrMPeJu4KvjuwDwBp5W/sXZAWfpk6pXD0PKyVeBmcl0q9CvdsGr7l1voU0BV6EzoUogX8gvdCjMQWYZe17/yVNcs3TXM8qD6Ia8k5xUxIqXggHsNh5aph0iBVds+rxTdEypSHH8uREqx/U//cgouke42O5WIHEK3yZxMZYE/ScT4V//wbxRaGzrbQehslTvYJYNPovaBIYmiEG8mePtsmLM1ysW2P4oU2JkhUgYhUtjwgLKBrcCvpTuRMzpxgiu6Q6CTN8rFLp4yixMn5dMThi4luUthm4zTm/hv5BfY81ITguszHRE1Wf0sjKSiuD6fu3xXCUO0pPW0xIJyCo5euI7qTiGMbHoYNGS9UACRU8D3ysa+DpGSHCnkBFA3EFkxaJVL5HwNR59ZKNvxupibiiKlfPcWQqQkRwpcWbY+oCdsfMghUic7b0km6F747shloXz3FkKkpG2AqC5sd0FRhMrCjyRSYGDDvHZ3Jv26ZChSyse8DpGSHClECKp01Mnw3kDDqDrCVKRAhT+Z3tUWZUkqUpwCLWBvZcfeQOzZ+ODlRc1xzGt1tLAPiKCsrXLRyxxECr1ywN4GY/Mj/QbxArYinIN6BKJCbys+bbY3ejGNsjxc4MUE7G0QsDfQWXbHcpGEPytne3oW5mdY+nQqvWCqECnlc7wOfUoa9wB+JLHBfpB6QBfL9oedEOp2OPu92CUTJ+Vz3glxkjb5MBfToVCDxJjU5AOaQv1pdz+MacndYcnPUSFayue+E6IlOVqYkcHemJTpVcgx7oIl2x+8CZiX/ecVNGgw7cqmJwyRkhwpZBPQNXY8ZAhmV1gnmoM0A5FZshWFDmvNm1eIFub0sFMejAkI3huqPjSo1APxmkBvmWLpWdg4ZzOwdQu5iPsBXF4iJmyABiNaNBHrLhRsa+2W+ZHoYcuMEq4XfH3103CqXi7zsm7XwM7xpyps/pi9UxXyt9YlDqqQfMtRjeniNkxJuJTZTrXFWE2KlPLd6Gj+2vvTFQ52pMBVoV8hUuhTVE3UrxBF7fkHRTm1ipTyobUhUtL4B0QHXaycMph58GnC8QBMBadA52Xu1yddfCbHginPBihEShr/gJkVHQdMWiYe9sjyCdTWkPrjH6tVnICslKtLCXGStlNGxc4OmT6WzIL/NZFC50LtEcu2F6gKPVH5Li+ESEmOFJ5pdsnw0HCMBYODca1LufCywVSyIqUbRaG7b1e2bWGIluRoEZeWp5vOhB6TXKInXtGiGwy9yCtSkYQK1A2i0r85GfSLrhUOAlMPmyD4B8JVwOUcaym5oy0++/C5HLMudLTFOE39ixO0G+CyYtHizwRay9srq2wmPDSyWPpFnd+IMPEzQ09bnKnSv0hhHmYSZrcsLu2mqv4U3JYeV5sz/8pTRUr5HL1Cl5KmE2O7o4u4IPowEOhomZz5FWbZbOe3Ym4qihNXuULtKXvtkd8o9YMZSCofMWtxydDWEG/JrIxSFMtn3irfJZeQUdJwN3yY2APqFgddA0x98BQXKb1CaKUQKxvvIERKcqTQJYiRQtUBY5NWjMmHfEP3QgT1ZkIGBw5YymBMyPAKmIJ1gZ2qQ06R6hQMTk7G2bfEivcp7AzK5uMVckqakh0mERp25RAxmaRVBr9VReqFkl38Olz7w4w8CDOyU26AoIhzANOAnIK3F9HC69mLi3OO4VA239GQU9I2hGx4YOqr/kgHJC9j3aCjZ+kVmkJclo13HSIl3XUHDgrsal3+IZ+wW6ZLAZulV+nVlCyHplB9BqH6cGWO3EEeISrENiBaiBN6XXra3mg56INgOoRIGYxIQV1KbNCxgOYTOXS0bHh1DYhtcvqUDOvA9aX5tRxEi9sbBZy27DgtnEhtCMke9CYokjUp82uoCrOmn6K7ZN1XLZ/jaOhU0n288BsFLdW1n+XxDhmkQzcmdc3I/4ZQkeKiMGSUsmcU8gmuB2QOOLNOy06sqKPtBeOAzxUQ2p3RRDQYCC39q7xFUWiJeS2tKb0Jngfw4HpxlVCRwiYh9LOD0M+y4WHbQzfCxR9YBjAOQFB0qZ0utxcOkooUx6ULlafslYceBL8D11mSQcDude9HPYS78+WXGUmksDkom4dX6GbTEFp8dVCE6So7HCbdJWQ6pnOBg52t9tFFoCIKdkWLc2EJeaXseUUsJnoTmCrsCNkUUoGYkcH4pUD1zzuAn8JMHvLKYHS1mnbgFJFZ6FbkzKR7HY6R0O6GGFy5YnmFjaTbVoe8Uva8ws5Yvm945sN10z0okFp5ScKWzIoWVELFIkVulSGvDEZeQdkDqs+cw2zMtoef6c4KXjvslLMrEP2pdjh5MX05GYe8MjjYChscVByKko3xDkjsA90XI2KyOU1F84rulQVG7WDkFbkcMBML6aDaMAFJswwzgfyStSskpzidV/68QrSgZgxI3CAgcXQoaLXUlcgXnewi9Q+RQyT04kKHuiF3iyx0tmXvbMWcJS7w0wdLEbOJLoKJiL1QNlOy2M0fOlq2k0HJPhj1h/zPtW1iQ17GYPpCbNkM6SJqtjdgsU5FkRJ4+oPT09JnwDugCmiPDN5O3NCjgLwQTf4xOEVK4OkPSqRIsQ5LErYkMcO0A/satJZIoRplcxCK3ecgUqh4gSk5GNUHJbLunmr3Iw8E+RiTZeBJuh1P2nXcYhplRQpbhTD5DMLkQ3/CjhDONTgY9Ye+BaSWjta51vp3B9R95vJ5o4fNcvJmmfstxAVMSXIHkcIOj+qD+7Xu42Zvlot3tKAxAdMfjOrDrg5sDf0GvSzdCllGV3/gT9Kn9IJRq5wSvFQGpaOVcxfqDfY88K7pWdgqw3BSpwuX0j/3mkghewWEdlByCi4YxAPsJqoP/tPkFHpcnnh6zl446CtS6KFDRzsIHS1dCtganAMUP2BvoGFo2+lceH9WN8tkVHxK1gWXECmDEClkfxA3XPRB7ckf6lOYn9n38KvZ1wnhHhTjNNFDE43BSXIwKhD1hgiRExMOXvQo5BZu5DI7iweXnluKKgpBgHW5LOSVQcgrTMhy76KbRRUml0C4kmzwxI7LZr/xihe7Ika00BO9nPIKmVw7WZ6Q9dFO+7/bGajxY/buNhSdykaLDxhMfE9mUV5xV1zIK724z6F+uowzUOPX3udtqEGOFJze5F7MRpA4ofYQ+eK8UoFQlPViUyh/9PJ5qoRI2Rvts1y3xl712iaHXIK7DhFCLYIZybaQnxEzqDqy6g/ISBE+rTIKGa1snUqIk6Q4oSsBkyWfyJeJTkUePOD9dCqOA5l2Qwz8Tp1pXpakoqV8V7dVFWv9RKg/R6I9lmF0FYrcgP8OFQcmHD8nUmDwZ7FUil1cYOuDZoRtZMgp3Uw//epn6V61GwQbYa8MniYPC7B9uhRcsbO6FOpUEVTFRUsZL7n0KqfQDYJRwwPyNf00f8zeTT8w3aTyga8vLRARgqJDGkNlmmzE1l1CzleBpGhkW1m2fqX56++vAg12tJA/2BKCsvM2nS2OPGyBwN1RMeP5lR0t7oZ0/mgBAySrlasShWhJ8yAFQwF/E1eS2Vlex/QU0gBl43DFexYxqcqG2IZISbu/gDaMPlO9LbitnCXJKtykYzuU5VZbTK9MBSJK+KwhpxTvbvvXr9DJgsvqe6IGxZhuuuieJe/176rvIqV898RCTkm7kQuKLyUhKmUqkbj68K9xQ3A4mc/r7C5OnNNGeRSFIU7Sag9xoqtz+L3Rwwp9AluRK6lv9rWiRNNyqDuDUHcUCXJ7Q+dDnEhNKId92E3+7y64OAElDnEyCHFCTUHRp2mYKoP7KHWHOQgshQk6W3fKLF1EpeyihY1AiJZBiBbqDniGXN/A2uhmwfFRj2nXDM/J90ZZilex70KkDEKkMN2wIQRpljM6uUXO12jZ2RfC5e8N8qZocRN46GmLuWT0b0oGk6VbATVBT4i/Cj+KWYsWFV5tFqepKPIm7Wn5Lp+G6Sd5+oHxBq8J/IyrCzzjRImwFLnWwq/tRQWSNiDsfrrhX/cvp+BNC7qmfQ88N/nu6KoY+YUYylYA8fuL6No1d7FzCoj+oEQLeYUtjyqPfLbIKOg1iKWa80ky/la8ArFVImJCZzsInS2OGOxfwGiZndkOUxXIKeI2MSVls2qZfIvmFaIlbAq7Y+v3swqhOpWqXbcDmZR5/Ygddj+gJ+00Yw53zctA4DOhYnw55Ra6eXhB2qn50HboIkLtY/aO3cTnEcaCS7o4TWJqgfnD4edblh61aBUiPrVVKFsVavza+2Q2DXKk0M+KjcbGkJ+ByoGuEC3sEPne/xREnFDxytfXhjhJYuzjOAq6z96HXoWvkjyO6WzhYdPbtsPhyEH5GfsgxURLGRlwIVqSooVdDzmFXSG8SG2HwPr5EZ4K1xmynXiKKIGIEPhv8CVD/elmCupXpwImi2ZMsw6InO5u474DMwGcxe31/PJVFCmO410mbD/klKScooyBM60qETtC4XB0s7gj8Kv+VajKKXS05eMihEhJihQYb8QKlYcqxERCZkGtzNQMdz+LiVB89iFOysiUDHGSFCfUGDoFMVOYmHFKIU6oReyZ8XHy7yzpMkr5/AKbEYowJUuBSn2Bo7Ii3gPBpxXjmj0hXH26GDJLO3+vYuwmpmSQu/JtDENeSVa30yvgSwv6JrYKaJvTFgpLzcJqizk2kVfk3C8lWuhpi/JV+jX9cOsH5aD8VMDf5EYKC4HphLkINw3/PGw5FZbvBkOoQGl8FdjXvGo4BMKs1cZHN9uJV9Tv2RWo2KaQzymkL+SUQUBU6GnZ14HTsiskRsgw4KfkF+aT7FsdRbsUbbHD5qc7pkq/ag/6HvUodLBy9pK3F3ogtkEg+71wVlFGcb4RoUspe5fCTCxvDLIKXQodLJtBJiEwfn5HFvLG7y+29yFSyufUFLqU5C5Fana0ynAPnL6Q+QdWnG4B4RKa3s8Wc4DT5EMchi5lMKoPrNllcQ5Rd6IpCDQFjSEbQiYiOZ6k7X2K5xSmrLLdFAs5JTmnaBeIGkxoLKwRrv7Qx4Lq07NkX7Qsjufriln5fHcC7paEu7HlWRlXHRi0cJfkRw16yhNP57KpjaaD2ambvEInHebkQZiTYRnIi4CYQDPGj5qWxdHUjeVe9CraXIe8Mhi9CugsU4hcsOW5Q4TwfuYe9B2oC3vRq0gnXT61cqhAyZsf+hEcJd2tKGqPmAdsmNkGUYWyckpR9E33F8rngBAiJSlSYKLQnSiD0NFKMUZdgIuNYyDcyV5FCj6BoU8ZhD5Fyg3yiS7kEh+6FsVukEih0+3N5oeZlB1CiJRBiBRQE14xnIxBUuTvyI9UBt4r16Zslgr8uGJYLZ/bdcwB1S87qs++mGyiKx30LcSMNGKgc+SVbK8M9tBFsRVQHDJLmIEGYwZCvcHEDLuICUg4ra66yEMddlzWtrCoUy3Vjh4y4CqDESm4MvFsy1Wf3d3mqreXuE7MR2D/6VWoKPtNfVGYlrvVtPeLgQCGj24DZB/kjWsrcmuiquDvRUfRC6Y+kVLG2y5hB5S8A8K1C8UPHQpbXnIMaC1ViNoD4zX7Ym7xPoXPWL67LiFSkiOFjhLPvmXVngQWLTogMFvxEuhts/bK3UWKU6CF+af8849wN6oN3S3drO4db45rEfkk26+22J5Q7mFldMAOSG2y8wG3cXE8YLeLV4YudMBpYkZmbiar+PfIUKSU0QM7REry9kdRAk9f7ge6kosvk4uT7AmZ+NKcm9ehSbHiuHUvj+pDlqbzE17px6Gp8WP2zqFJF7dBwOhfQWqZjdkpc7tDF0p5fy+mZDDhMnqlN37tfWpPBztSmG1QdMCWhNmE3w55hf2hrqGyMcxG9Yv6BMp9tHwXuMGV6p/+EC1SKlN3YBjQp+hOh5yNxZQE5+c9/pkqUiiX0fsgxElSrwK3ml0g+AlcaO4vCHsjdsg29C+98L9WpJTxTlSIlGTfHXRiXOeg0oDUyg+bCUgsFVDbXqC0RAqYTfk4TSFS0thvcK9B26QoJJfI+5pZiM0PmaZdp6KuN+8EpGgp42WX3kQLMwN7tFou7X4Cav2YvZuAyCRC3PDCAEth4qECSYMq78BsBE6oS/5IkUKgXH5erV97Xz3toEcK8cE2mXihh0WLysyjHR4XgeQh6B+BI3Phk1Eu7kGIlIOWH5IdvcTPJyqYdFxeYS6hEuE72v4KHf1M8bxSthtAIVrSooWOBI4K+KzuFsrfmPiBsyIFWW86W1Qd9CtlYtaGSEmLFN1V0W1CnCvwPdDtQtA4EBdmoyxcpSinSSrXsvEPQqSkR4ocAdErw0Ngf6c7HbrTTsbJxvWJNTgKxSoQWK3TzZdlCxSiJS1adB9XW2UhtFQgtkDUIDSF62PcvxedrabScvllhEhJixTmY/mPUnfg7oPWUhfYH4LQMadkq4CKdrUoXB1nKuSUIrymfuIqoGxMwyC2bHmZkXkPkUKUgOzDW8lSFnYTKWXToIackt6r6FIhGQVfJhgI6MQ0P4OrMC9nVZ/iXS05BSZvmH+KKgv7mVNw3cEVkHqj/6XjgI/AJATm0QtPSSF8fI4QJ4MQJ7oOBVuSbKJJhFmGiYipWVfcs/kH1KyiGyCipWzu16H+pNUfsBQmYl1uAeVAear7C2jE2AhluwUW1RTqbipTV8grg5BXiA3mY/gqoCooCXXPEoSfPoJdc/u8UqyvVbSUzdm413lFt8eViX1tlus/Zu82y7pMiO8OfBWXV+hryRfiORFNWdzaYhVIeniYU+XLK/Vfe7+b5cGNFJ5qaZLZMV9qsQGSIg84+lomIzRC/l14iBRdeQiR0l0F6k9Ooc6Ao+jeKXmEHSGYPh0vzAQQul6wVRQprmsuF/4Wcsq+aMJY16vrPIpxyWA2ZusD3oayQxw4nnf5YmdfdCnapThfqJBRBiGjwGDSjQViBHW7PFX0rMvVqxe358gndLTlct5RNxvySWs+YUJGs0E0gG4wA8FXEUeS98DDzvJT4etaFKlVtOAUFbLKIGQVplQhtOwL4ezL85qOlv0h3S3ISi86WvKY486FPqX4nrA/Ha20HOhQYRzQo/Ae+SHIGxt8LoutX9Qpw2nSysh+CxWotQKBp7D/EVOFu+zivjEBkWHYEmZfsyyKpqgzKiNHJcRJa5xQc0A0hJXS0cI7oK8lbmDAyXMyW//jtsJ5VR3u1kMZd8ohWpKyClkDDjTYifxUdAUInF9uPO24b3xdFU/5o4U4w68j9LWD0NfifE0loCPBG4OYAVmRNyhMSdQdWVyVopfFqEHyIA2RMgiRgnJDvSy6LTpZsoqui8Fr4nsqVFYVYgOt7jRvXlG0lO2uckBX0jgIuqAstzfdJqRLkQIVREo9TDYDW5khf6TAmYKPGfLKIOQVWGgw9JVHYDe5Wwxof/D30lzrH1mBd1dWrn7obJPmIKYdeV/Tm8BroirJWxL+gTCX3kRK+RwDQ/VJqz5kDenYQVGE8qMjdFshtswomv37NZFT8BAOuH5xV/3WuO4dp4mOll4E/B5GLSi/+hS6WRgsaFOzGHB4DcK3LNqrEKFldMwIFai1AjEhw1HRrXZdthS2DzsbXQfv74VajJmLb6GrHYy8AndJezvVIbbNqkn0MOAsdDF67pPvcBfHVeRfGXCVwYgUJmO6EXl5UXV0jQF0XxeW6Wuzu9qi1Yc9pbvLHDbLZd8s6/qc3N5A2hQxcqyFd00fwVzUi65WF5xD9RmMnALjenOMbuBFiqsk8SKnDHmm87NsrLbYFQZ6FOpaGZ29Qkeb1NHSZ3CRkJ0d+g13VQztKfgbnIReaFDVzQa+ZDdXxfo5KQu/h20tzgG4vrzT6VDQd+gWUFb1KYroEynwJQOiPwiIPnxaNoJ0lkzIQvDFgMNjX/z9bA528QuoyituYxC62rJ3tewDmYfpVdgiEyFg+eyDdIcBjm1Wr1KULynPlnJ6NYVeJalX0QUxuXcRH0zIzCXOxZZpthfMWiKF3UHAaQdj/pGLCh2KvGmZXOlt1beA+DMr9+K2mCIl7H8GpaslLph7xJlk08M+R6wmJlk8eNAF9QJTIVLK6dUUqk9r9ZFHBjMPamVdGKMS8bSD25Jx0DL3gn3ADhvPljD/DML8IxcM3YsCoQWfZQKij0UzSI9L5Ph3H6X66NZqiJRBiBRmHTgHcItgt8JCEGefXyGnSF3Yq0jBPSxEyiBEii506Do5yCxRwfuYf/DPoMuFe9SbSKl5xwU8pex4ijaEKMKYiqlCdC7CafHIAO9ACZTl0lTMKUOsAzC+kFMGIafo/igOgWwEiQx1LNK4y4WHbVBvOlqwmsCSHAw8hciQOozph30gHnB0tGC11CSiJYujQt/LDFOMJQlaw/Yg5JVByCsotbS/QZ+Mqh08DvRNHk3tObVF/UfJKbBigrJ9MPKK9i9se6QQQ4Uqn0B6F/IN/nBZLMluIoVOJfQqgxEpchtFN0g2kV+gfNPBxeBPisPiv6slpyiTvVyqD3su/r1OS+XDpbb5Y/ZO0SEkBSSWCOG1I5Mw86AyFPsg+0qHoiiv7pQ4kRNuueKk+Svvz6N2sONEuL2bgMBrceBh8wPngJmIjjMbUVF/UzxaysdSCdGSfAGVvpWpB64kXFr5qsgPDlwOv6ZeuI/yuUD9ytanhDhJjxPtfogM9Q3MI9r08j24XDZLkj9TDIFTtOBeGWpQ8Um5f73KVdE10Tsy8TUiBn1psbuV7HfEzy1TPKAPQOfETlSR6qsn4SPz6vFv9nVhofVjFu1dl0Y32HXtQ9GR6I5oPNpn3Qc/m4h22nsO2Ft3meN1+C98BcJXIHwFwlcgfAXCVyB8BcJXoB9fgf8PUEsDBBQAAAAIAKa1plziK397uwAAADMBAAAyAAAAeGwvcGl2b3RDYWNoZS9fcmVscy9waXZvdENhY2hlRGVmaW5pdGlvbjgueG1sLnJlbHOFj8FqwzAQRO+F/oPYey07h1CK5RwSArkG5wMWaW2L2FqhVUL899ExoYUeh2HezLS7xzKrOyXxHAw0VQ2KgmXnw2jg0h+/vkFJxuBw5kAGVhLYdZ8f7ZlmzCUkk4+iCiWIgSnn+KO12IkWlIojheIMnBbMRaZRR7RXHElv6nqr0ysDujemOjkD6eQaUP0aS/P/bB4Gb+nA9rZQyH9U6OjvnPdY5p3JcnJS4JhGygZ+WU1VpoPuWv12tXsCUEsDBBQAAAAIAKa1plxCRtVNAhAAAOqXAAAnAAAAeGwvcGl2b3RDYWNoZS9waXZvdENhY2hlRGVmaW5pdGlvbjEueG1szZ1bb+O4FYDfC/Q/CH5qHxzfEzuIUzh20h0gmZmdZLZdLBYDxaZtdXRxdQkSLPa/95C6kRQlirQn5ctMTB4ekh8PDymSoq7+8eq51gsKIyfw553BWb9jIX8dbBx/N+98fbrrTjtWFNv+xnYDH807byjq/OP6r3+5OjgvQby013u0QlvHd2JQYIEyP5p39nF8uOz1Ioj07OgsOCAfYrZB6Nkx/Ax3vegQInsT7RGKPbc37PfPe57t+J1Uw2XYRkew3TprtArWiYf8OFUSItfGJYn2ziHKtXnrNuo8O/yeHLrrwDuAimfHdeI3orRjeevLDzs/CO1nFxC8hrni12o5PWcdBlGwjc9AUS8tYqW2gzEU9MXBzIGu/YJWdmzPO8A+RNsQRftP/n1gb6A9ihC0uXmbdxZJvA8g+0wMbSAhlGg8uZhenJ0PZoPxuD+7GA4nHWsNgGO0+SVvWmjHIhUd6Dn+lzRTXLsiZoTF10G4WQaJH5OyRcnhEITxY/L83wSFUBooXRa22LzY/hqKEzquSyJew8vEgRr8MTtfjG9nk5vubDS47Y7PF9PuzWTU705Go9Xd7WgwnC6Hf3aur9bYlB6DJFwjK347QK3Qa4xC33ahLoHvozVu1w8ESi8Tv3OQu4kgmhRxlmshwZZve6DktwdkRwlU7/ez31ZOFDv+OrZInaxga/0ERohC68Pmd8jEPuAc5p0GsY7lJ96dF+NiAJG9g0I7XO8xi8FFx3LRC4Lqj4YX5xdsIfPSfLH9HYKifAoh38haOVv2B1WMUqQh1z40a5brAKoPjRiizYcYeQWVIQ62XuadjwEuEvnzV+jE8HePEodfpAUIOxovX/J7x0e43EEMJad+UCUvQ5tKXvKqltyPwRlEj8hzHpxXtHkCewC3AsTBEkjUx8BPTZ8Ke4xD4rX6pG7tavPpAC0IRrGzvoILw23BBtDtwcRwNattg3eryaPtogiKGAU+VIP+RdWBCq5vmuGwwaberT7/AkveB0mEe0v5N1WXIrC+JqOm3vFuNXmEsch6CqxlEsWBh0LcPHwQ3UZcXFMfMqGhirpgpxq+0bXLQkSVS6Ma6jb+P9ZtlXjeG3iWemdfGlbq7K+vYLS6j2Lyv5WEDox856Pl4ma6WOLxbtodT6ab7uxidNEd9yfT6eimP5pNV38WU4nBuDJJaTWX6M96s3TudH31Ohhfln7PcvCcBXwkGTB7ULD0X1JMxj9SP6LM9/+UDW0OKkaSwaAYYfPYNyvxHZgNfEzH2mJ0a+1E7Ric9nOCPTlMGjZoaydu/IC8ZxSCQ5ZqPvtt4bowdtuuqyK+cWDGiGdfgkRQCic6uPbbXeDCGD3v4EGHzC/ALXqkZL/YbkKmbOk8ZTACU0n8Z9slcyA8AF1fbcnU5Gtk71CZPgtOQ1/nnS5pGSJahI1IY1HJ87YqmHMtVNMGhbehel8eBsAUuVO+q5l4RVCPNRBtyzqfDEpsMi+Y9THBbUhP+LgofTq5bplZ8mXJ5U1hRaaeAlB0uDolRqsMkVDYFD4/J0GMBHzocHU+jFYZH6GwKXyyxzg8baf7GRWsTofWKYMjkjWMTb5sIeCTR2kzKnS35FSRN4UVb0D4tzoVokWGghEypf6pE+QplKHqLCiNMiICUVO4FOPn50A4jn8O1MnQOmVoRLKmsFF7tFSdBwqeZZvng7UJ9Hi9zxz8/ERzcL7ygilDjYi6/dblJbNlWTq9djr9/D0v532wJiv8zMCZLZnkcfr0Cu1tsVUSmMZrsdnA6nckwpVF6dPKdbeFxcubxorsC8ASVtOClbbHLJbHWjpMTl6P1fv4S7LZcYI1ixvYPWJWSqmG4OPUrbaiXWa2tQn02uL0PpEvoGB8qRE5nl7btY66Mpq25pGXUzS+8HH69FqPL5XimMpLML7kZdceXzgF0oe3Onnj+ml1fCm6R74hojq+cApas8rHOtPsijx2oo2Ft3fpgZgO5/tfDOv5bTcQaPWyAYApy48BBbvg7NZBy+XszyEcLLHu4UQDDakMVXdRlEYZF4GoKV2tzca3ahdjt9Yl0zdmGz6V1WPzPlO38Ymmbh/8lwBbZA1/QbS6hYrykJlqUxq9djn9NC5daUsXrSsuLwtXp8VolWESCpvIx4LDajA+wEZrHalS4jhmVE4q9ATJTOGYnXZ7hI3rhFkQYCLUqbF6ZbDE0qYwWiYhti5mDSAPUydTaJNBqQiawgNOe8ZBbONhrDggmYep8yi0yXhUBE3h8WS/0ijgpzoFrEMGgJYxpe5LOF26g5O09ImSNEidQa5LxoGXM4XFE98pSIA6h1SPjAIrZQqDz/YbPnlvPaHQY6yCiVBnwuqVsRFLm8Ion39WTx2xMeqUOM0yTDXipnHiH/vzYuNwfUZEa1tCjLBpfKqTt+IJh0zr9BllmttS4sRN44TfQaAHqpwSDtdnRLS2JcQIm8Zn4eEFRxGhNEafUaa5LSVO3BROslcOVNeQ6NcZmleQqpJ6TN5n/WhyovUjvL1/wO/hPCB4xY15H4uLUrdMXrfMNOvk9drh9OtF5P2qR8T03jxMnU6hTYalImgKj7sQObu9YB7KRKiTYfXK8IiljWEUPNPO/i541uABOqQUKBlT6o77M3lQgX2LIITXevkDHkykOpeqfhml+hQmMSP++IMfxWFCXr6tHCKqCOixq+bThl99KlMYfrbX35sQiuLVCQpzkQFsTGQOv2x9gXuPoHji1zoOTqeWujOhsCl8+GccvWebVs80P/BZZlh5e67lFjiZj/CH44tA9Y5U6pP1nqqkSSZhVdcI0qmb5gIBlVjaX0SyprBZ4tczXRfOlty59o5ZxWZi1C2H0ywznxpxszhVDuCkpSbBuoRSne3wsLJmscE2dMNuERYWdAMvtasuDpQGAVrb4cmK8GMOJQneaG7pkzMj+QKXrrBH9JkIXUKwt070tkPES5tnQz8nth9zzyOlLeSxurSwiRQ5tEMmTGIet+riZUlNd/mS19DSyDAxQ5cw8TVAzAIv/Fa3JaJFZj2MkCn2skLROnTIpU7M9U5lsDoNWqcMikjWFDa4wSpz5yJQnUupT0alKmkKE5E31vfBrT1vRdAUHl8/PdD9Bn6q2wXWIbMIWsaUuuOD1Xi5kD1mWIaqk6A0yoAIRE3hAnfjkdtwYNSr0OHj1BlVtMtI1SYwhRe+VQ62alwXrwNWiFVj1ZkJcpBRa0hiCrdbuPvR34isjI1R58VplrGqETeFE1lvEZzLo8PVGTFaZYSEwqbwgWOUcNvnhjkKkoepcym0yZhUBE3iUX16wsXVfW4q00oHeoGoKVyWtrtO4OpglDppwQphNV7dfoS5yGypMZEp/DA1PMSJ5tB8nDq3inYZs9oEpvH6GjCP6Hm5IVifEtbZFhAtaxob/ihoDkdvBZpO3RqPkUdBvyC4FxMeT3g+dDhvPXH7N2QZ9TI7EgrrGVLdeTX9N2QDz4ngrmruReLPYRl+BCZaTQt7osryY9bsdTE9wqXfm8SF7UF8iQ4Pqxp7BDJBVjL7akiiZ2V1p/F08S3WcWK7BB45RcQDFMUfgVCYnQxiYyIzMJIjl/R+BXcFDx2nPjJWtMuI1SY4LS3tow+kfPh7DZWJKhujiarU3ApUVfy0mPS3I4lP407K5mF6bIi2NlQYQVN4wKD1H/iQBntlBAlSp5HrksHg5Uxh8WRH39lXOaPv6hSIFhkCRsiU+mfvYS/T78Rw5xkqkepkqvplmOpTmMgMf++IH+3pGuTxx5ErclGBV0lkGL97Gx5fvh429YbHSWgz5HNqSbEumbkc60yRqonm0a3MpnlFUqcnS2cKy3T9WugFuSh1K+R1y8yvTt48ViLvV5Ze3/dVdUgNrSGJUdwavB6pwtE+T6SlHT3T/R1fs4q3Ewpo9ldlTycu3Y9Z5tF/FkqveFrCmLsL2Dtu2Rh1apxmmZOrETeqr4owpX4m46dOiUnerlsWpTDNloTfTSwC1dmU+mTGU5U8rd1oL8mQ5mU/JJkFqePIdclg8HImoaheeEJKmwZrIsl0tsLCyZqEZmW/RTDas/ebEjpFjCagUnMrRlXx02LSH6wIjXwzGVbX4buz9FqNIFqTGJdHK2w1aYxil61gV6Bl4Zq0cq2tMPHCpvBJ5x946YacgK6cDxLFq/MS5iLj1pjIFH6PB/g0Nlw9zF6wU4aqs6I0yggJRE3h8il0dgQLNw2gw9XZMFpldITC5vFh9s6ZT17nBJs26Vt8JbRoCaVd+pKeMJl5HEWnrcpK6L+7UNUhfV5pSGIetxVynRf4hL11D99/t57gbAx7mXBuhVW5Y/qvINf2/bkhsXl8ZYciSmNpczxCpb9rnY9oLk5h+uZxhmtBycmTupMTZcVEksfYsjDn9tbcmNwUzukTmbOtzKEhTJ1doU1GqSJoFo+g+iC2CjSOD6TVBG3teFCCZvFwtiIiOFTfRlpTIZkftzj4PtcEDk90TSB5QIr4XlmGqjOnNMosUSCqZ4vvw5x8XP4EX2XLq83aeRmqz7yFnVOZH2fnp7+GsTQHMRk9H8BobW+RR/uB0/Ohz4Zbf3sI/Hj/d3osFcWr25IwFxm3xkR6ffpH8/sV2WEDPhJ9LL00DzV4bBoz2cGTcBijJny5xLEEi5zUIFaSmcmR9GG4EXKDXmU9OZM6lieToxpTYdLTcq1uFlp7Z7NBPv4YneTGpAe4yiiBL/NCd/v27d/338j3+Kwvtr9jFiP4uI7lpQnT79050cG13+4CF6ZF804R+c8wSA7zDtEG62tY9bwDHkqvdB+DPNPIgodxmLgz9zN/+yYQkJTzuCLBa/+x469jWLrH0IKtJdyQbhA7DmPgozsHuRvSBiXT66stDo2+RvYO5dQHnSw4DX3F7VCZl6HX+D6Kr6/gfysJnXnnj5vZxd356mLVvZkMh93x5G7WvVktBt3BcDmerEaTi/Gs/2fHevVcP7p8HUzmnX0cHy57vQje5/Hs6Mxz1mEQBdv4bB14vWC7hddae9EBzrltoj1Csef2hv1BvzcY9Dzb8aGUoOVybUPynxwU2uF6/2bZu12IdviY5jJwEw/sepbOKqGg6b+k2D022fUVpybxHXhl7aONv9K4SjzvDUyx+JrQpwPkBs25s/C9BGzDFGZC0HCIpsu78eB8sereLsfL7th+truz2d0EEC36k+nitj+bjihEYz1E/VlvVhIa84ScnR+knbEFFpaTg6Lrq+8HJyo7KOgoPFQRPIS2KUKZ7u8TorknwV+SLDn/VjgYinUhSmdkpWoyZ8HoqLijVAhXtSzn9VXmkojXKYqNDZ+OYLMpmr/UyGiBtDanyz7klc/cG1hRUYq8BXAqkbFcDCeL2+Hitjsbzwbd8fQZdW+GN+Pu+BZ62vhuOepPx6c3loPzEsRL3KdW2G86+C4qK0oOB9jPhk9cQacI3z4G/i9OBC+REW/CReKXvx+QR0fBV3Wz0KjG7ES5Xv8PUEsDBBQAAAAIAKa1plxUMiAy4A0AAEKNAAAoAAAAeGwvcGl2b3RDYWNoZS9waXZvdENhY2hlRGVmaW5pdGlvbjEwLnhtbM2dW2/bOBbH3xfY7yD4affB8SV2HAdxBr7E2wBJ22nSzi6KQaFYTKyNJHp1CRIM+t33kLryYlNkUoDAoIPwHP5J/nQoihRFn//2EgbOM4oTH0ezzuCo33FQtMGeHz3OOl/v1t3TjpOkbuS5AY7QrPOKks5vF3//2/nOf8bp0t1s0Qo9+JGfgoADYlEy62zTdHfW6yVgDN3kCO9QBJYHHIduCn/Gj71kFyPXS7YIpWHQG/b7J73Q9aNOrnAWt9HADw/+Bq3wJgtRlOYiMQpcUpNk6++SUi3ctJEL3fgp23U3ONyBxL0f+OkrFe044ebs6jHCsXsfAIKXuBR+EesZ+psYJ/ghPQKhXl5FobWDEVT02SfMga77jFZu6s46wD5GDzECLN7iddaZZ+kWQ2FF4qfoGrseXKSGG2SEGo3Gk9PJ0clgOjieDob94xO4aBsAnCLvW3lpjxu5qkTwC/3oS14oaR3rvsGxt8RZlNK6Jdluh+P0Nrv/X4ZiqB9UpEibe89utEHeKvaDgBpe4rPMh8r+NZrMT5eLwbA7Gkzm3dHqdNld9C/H3en6crpazEfj0fTkZ+fifENC6RZn8QY56esOWoVeUhRHbgBtwVGENuS6XtH2X5yD7TpJ6f+dLPahnHV/PDk5Pl13T1bjdXeEJpPufDoYdS8n6/5kuJgulvPTn9WFG4yEkGh15frT3jSP1Ivzl8HoLKEVXlb1cyI3hKrfbf3kDxw/3WP8RK7tDfZQ0OldnPegwvm/tPq9RqsLBGsfBV4CTS6wQybq9MFHsRtvtj6qjIPBaQmutL46WeTD5flIq/H9ixs9oj+Pvn/aQeYU+rTzFXrqn0DU3RGcsw5r6Thumsb+fUaiCq6ihx7cLEhvUHiPYsiqVD76Pg8C0HeDQMfd86ELk+4gyQS18JNd4L6uceAh6HEkHsqYDGnNvrlBRvtQHjiDY4jWLLp3AxqUJHh5ins4LbMkxSGKm4TKNH02lZqKiuBoGw/nY0Y4y7AUJnM6pXZbSLy/Law+xRCdElDNdH1KjKoKkdTZFj6/ZzhFEj7NdH0+jKqKj9TZFj7F2HcHt7BmP2sk69NpaqrgyHwtY1M+60n4lCZjRpV2S06Cvy2s+AAif+tToSoqFIyTLe3Pb4I8hTpVn0VDUUVE4moLl/Ihw/mMpeP4Z6xPpqmpQiPztYXNLUwXnTvsyJ7/eJs+JUFdhWpvBlt5SYZ1vg3Gz4l7hJQ3J1U+21he4w1dumAGtyIuS5t57FXqbWNPyGAbr7nnwapFIsNVmMxpldptYfH+trGiizjxq4xVYTJnVWq3ZcX728JqAUtX+8YA3qZPS1BX4dqbwVZekjGAb4PxGLBHSDkGqPLZxlI2BpRtMB8DeIXW2KwdA8oWScYAzmTeU9uOAXxdyo5tW2xJxoCqe+TDgzmrtmMAV2AViLawotM35DnktQqzSt5I5ymlsHbddrG8Ka8aAJi6/Jqgmhguk3+O4a2Wc+0nzKuEOlU/kBqKKi4SV1vC59YNUAKvWhLuKb5O1ifT1FShkfnawuYqesYkavYwkpj1WcnKUDE7lMcWdvmqUr5AK9yWinR9WoyqCpPU2UY+DrzNhns4vPjbR6r2eBuzRkk69CTZbOH4AfZkkECDF6kZM7FmDPrUWF0VLLm3LYyWWUyii5lLl2n6ZCo1FRTB0RYesB0kxalLXvpXmwrKNH0elZqKh+BoC48796WJAv7Up0A0VACaPra0fbl140fE3DmKJH0GpZaKA+9nC4s7vlPQBH0OuY6KAutlC4PP7ivZmufcoThkooIx6DNhdVVs5N62MCqfP8UdNqxFnxKnrMK0x902TvzUvKw2STdnRFXbEmKcbeMjPrxVMxz6WGfOqFBuS4lzt43TtR8xM4SSEkk3Z0RV2xJinG3jMw/JomDzUaYklFvMGRXKbSlx7rZw+sON0RZnCRNEVaI+nVpPBUb0tIUJeeW+I7uMbxDsXPf4140Nkz4fXltFaZ+/LaxI53duEdPDyjR9OpWaCovgaAuPdYz8x63kWZEx6JNhdVV45N7WMML3zT61xvcGPEBDSaHhY0vbSX+mkwlY/8cxfJvD310Yoz4XUV9FaX8Om5jRm+5VlKRxRr+gETbMCA5m7MRy2vDbn8sWhp/dzdMhhDK7PkFpKSqABzPZw69YA+D2tVezcqPtyc3cytuZ1NkWPvw8xGz+0Wre8QvnG0PTL67o8wi/WbtK1O9ItZ6q94ieNoWE5CVM/uhmOIlvZFb2F5mvLWyW5JO+IIA9GuvAfWQ2sjMW/cjhlFXhs8fdLk7CRpa81jTZlFCu2Q4P62sXGxJDC/Y1XhVBC4O9UHVAgGo7PEUVfs3mnjd8BZsHyRfkchtZiujJDcbxU+i2Q1TWwk5G5AL+nrlRys1H6lgoraa0mBLaIZNmsa/viQuMNTXTJUZeQaMfWrrMeJWikFmEhb/1Y4mqqKKHcbIlXlYo2cQ+PaygiaGRrE+jqamCIvO1hQ25YMKzc5Woz6XWU1ERPW1hIrsbm9+DKzUVEMHRFh5fP900+w38qR8XREMFoOljS9vJBmWyXMhuBaxT9Uk0FFVAJK62cFn5CT1BBR5eBDq8TZ+RoK4itTeDLbzImTnwqiYIyDqgQEy06jOTlKCidiCLLdwu4QCnyJNFGWvR58Upq1jtcbeFE11vkeyda6brM2JUVYSkzrbwga2OzhJO0OL2VdI0fS6VmoqJ4GgTD3H2RKprOm+q8yoHeomrLVyWbrDJ4Pw/lN+kJSuEol0/fqSlqGLpYCZb+BFqZIiTPUPzNn1ugrqK2d4MtvH6ipkpellvSDanRDTbAmr62saG365ZwjFbgW7mbo3Hyu2aXxCcpQjTE55PM52PnrT9l6aMvCqOpM5mgTSEA0VlRzKaf2mKQz9BAqbPcZ3+BkxNmRbx1KjLr1mPNsV0CweEelkArwfJgTF8TInWNyCTFKWKrwNZzKIMXja/a5TNN2nmBhQe3UXEA5TZ34BQWpwK4sFMdmCkWy73vBHhbfojo6CuIrY3w/vSMt76QOtHDl0WHlRZiyGqWrkVKNH9fTGZv46k9zRup2yZZsaGqrWhwjjawgMGrf/CadjN2XCRpE+j1FLB4P1sYXHnJk/sskDypE+BqqgQME62tL/4VnqZH/bO7WcQjPpkRH0Vpv05bGRGfrSAH+2bLSjtbyNXlaIDT8hkGb9rF6YvX3fe/sDjPIwZ8iW1pLgvm70c94VioyWGW7eKmOaFlDc9VT5bWObr19K7IGfSj0JeWxV++/ztYyW7+9W1N7/3iRrKQDuQxSpuB+56tAlvvufJVNrRs/1+x7dMuNtJHQz7q/adTl67X7PMYz4Xyo9hWsKY+4jZ81xZiz41Tll1k9vjblVflWHK7zMFP31KTPZ23bKqhW2xVIztV8x3ulWiPptaTxU8ouf7xo3xkgy9vCyQIkkfR6mlgsH72YRCPJSE1jZPNkRSaLbCwvnahGblviYw2rPnhFI6lcUQUK3cipHo/r6YzAcrSqN8mQyr6/Djcc21GonZkBhXRitse/JYxa5YwRagFemGtErVVph4Z1v45M8fZOmG7oAW9gfJ7Pq8pKWouB3MZAu/2x38viUc4cseglOn6rNqKKoISVxt4fIp9h8pFu4xoJmuz4ZRVdGROtvHh3l33vxFyYrgoZf0LX5ZUqqjfOau6Ulf7tvHUbbbqm6E+bcLooYGO2u/Z6hbtUKBDz9c/Opcw6m1zh3sjWEP/C37sej3lv4rKbV9fz6Q2b64VG2KqK9Em+0ROv3daH/E4epY+EsDZXzC0Z1058m+nRN1w2Seb4llacnto/lgdlviOZ+R+Q/CMzSk6bOr1FSUBEe7eGBxIrbCBkf65c0EtXY8Go528fAfZERIqnmMtKZCC7dtcZBOYhK+59Sp+lwaiqpokbjaEi9l1dh4qVPNubSIl0bh9saLnIxZX6oDQYOOlf2pucfa+ccNjtLtP5tjksyuH0vSUlS97WAmW/odW8n/IDc+gI+a30ovL0MPHpvHTnYwtYtTdAhf6fFWglVJehCFbHZypH0YTlb00IuqJxdeb+XJlKjHVJr1fbmKL92cre95KCI/jta7ON+48JHCBx/FbrzZvjpZ5MMXMB9d8uNp32/gRKEMfs0VutuPH/++/kF/T8754kaPzKSet5HPAGjG/PfX/GQXuK9rHMCjy6xTGf8V42w361A1WKci0rMOfEJgVruPuCw0cWBSCw/AzPvTHz8kDop6vq1K8Pl86kebFJbACTT84Ehf7B5wey+MF+foJb1OUvp/J4v9WeevxXSyPllNVt3FeDjsjsbraXexmg+6g+FyNF4djyejaf9nx3kJgyg5exmMZ51tmu7Oer0EoiV0k6PQ38Q4wQ/p0QaHPfzwAF929pIdbPXyki1CaRj0hv1BvzcY9ELXjzoX56ByxgWb+/gYo0eyU3GJgyyEkJzSmOxBRfN/abV7bDY+wUfJxfnTzk/qIAINsc2T4Xh+OZxfdqej6aA7Or1H3cVwMeqOLoHGaL087p+OGm0embW5P+1N6yaPznb+M06XpJOtSFj65Mgcp0688mad4fHJBP6bjjtOku128D4OfkYHemH8+hFH3/wEPoKhPYkzko9Xb1DYNMGPYxapSdG9c5T1hZ8v1uPlZDTqzhfH0+7oHkicTsYn3eV6Plgslqej09X4F1z4ZoO/wQyGQKBX9cq7zZuMvCJ91jkhy9bUVmwdrCwTWXTICF/8H1BLAwQUAAAACACmtaZcY86rd0YPAAC5lQAAJwAAAHhsL3Bpdm90Q2FjaGUvcGl2b3RDYWNoZURlZmluaXRpb24yLnhtbNWdWW8bORKA3xfY/9DQ0+6DrMNyfMDywJainQC2k4md2R0Eg6AtUVJv+tD0YdgYzH/fIvvi1c0mpRjcl8QqFovk18Wbzb786SXwnWcUJ14UTnujo2HPQeEyWnnhZtr78rjon/WcJHXDletHIZr2XlHS++nq73+73HnPUTpzl1s0R2sv9FIw4ICxMJn2tmm6uxgMEggM3OQo2qEQQtZRHLgp/Iw3g2QXI3eVbBFKA38wHg7fDQLXC3u5hYu4i41ovfaWaB4tswCFaW4kRr6Lc5JsvV1SWguWXcwFbvw92/WXUbADE0+e76WvxGjPCZYXHzZhFLtPPiB4iUvDL2I+A28ZR0m0To/A0CDPolDa0QQy+uxh5kDXfUZzN3WnPWAfo3WMku3H8DZyV/A8Kgla3bxOe9dZuo0g+UINrSAi5Ghycnp2evRudD6anJ4Nh+djeGhLAJyi1a/lowVRFYsWBl74OU8Ul64KOcbqyyhezaIsTEnekmy3i+L0IXv6I0Mx5AZyV8iuV89uuITsxJ7vk4CX+CLzoAR/vj+bzYDion86XMz6k/H7cf/mbHjcn0+Or8eT4/HJ+fzsr97V5RK70kOUxUvkpK87KBV6SVEcuj6UJQpDtMTP9QOBMijUFx7yVwkEkyyelVaI2AndAIx8/eyGG/T70deP8QpQOHNvHaX8T0jB3WHz0x6t1nPCLFgEKU4Uyr/1UOzGyy0u+Qh+++gZkcJeXQK8GK0+pCiocjPGYud52ruPcH7Jn79B5YG/B5Q6/CIlJ3mmi1Xm/w65SQaPB/I895LUC5epQ56JE62dn6ESodj5sPqdKkKLWluJTqsSHY9P352ykHma/4bybqMswWTrv6lMVMLmJI/BJdsZErSE4eBaG1z54G+9EFWPnfpBZbaWtgAa1oDERx6m0HolDyjw7rwXtHoEB4Z2EJwEXJcE3UdhXlcp2UMak2Z2SMrW7gaVG+/ACcELNs4XaHOxI7MC2pWZEK5kjeDfrCQPro8SyGIShVAM+hdVBkrc/GjG4xZHervyQJfjPEbOLEvSKEAxLhQvokvGhbV5nlXFw21P/EqXrpDICpcHtZRt8nZlo2pYUrS0PxdNuoeqdns0qvqRMvTVyUIP+rx7rkfpXPPcFGr6U4arP3SNK7R2Mz+9Q8ETiqEWKy0ffb32fWjhXd/XUV95MC7CYwxJJMiFl+x893UR+dCDTHu4pSK9KNSlgOTsV9fPyMAk741Hx9ByZeGT65OeHrdaV5dr0gF/SdwNquMX4lz6Mu31SYdNVCvZhDR5VPSyAayYc0+o4RlUlY1yvlIGwDS5U1W3nbigaMYaiHZlXQ55FD5ZZsy5z/AzpIcFXJA5ndK2yi35vJT6trAiQz0JKFquT4mxqkIkVbaFzy9ZlCIJH1quz4exquIjVbaFTzFZwWM9up5RYn06tE0VHJmuZWzKybmETxlkzKiy3ZGToG8LK96B8G99KsSKCgWjZEv580aQp1BL9VlQFlVEJKq2cKn6z0+RtB//FOmToW2q0Mh0bWGjN7PSHQcK1lWoGiOY8XqbMfi7A43B+cJLhgwNKvr+25SW7gPix7Bmz+nw4/eyfLfRkqxjMx1nsWJQhpnTq6x3xSZEsI3X9WoFa6SJDFcRZE6rtN0VFq9vGyuyegwrOG3rNcYtZrU61D6Bruoxp2/G6m3aS7IkfoA1ixvYI2EWCqkHwYfpe61gXeW2jRHMnsXh20Q+g5L+pUFlf3pd1zqa8mjbmkeZT1n/woeZ0+vcvwjZsZWXpH8p827cv3AGlJO3Jn3r6qnYv1TVo9wP0O1fOAOdWZV9nW1+RaadaOXgPUG6I6blfP1LYT2/6wYCbV7VATB5+TGgYOuU3TrouJz9KYbjE84t7HvTkGqpfhNFWVRxkajaUtW67JbqVjF2P1YxfGP2bnNdMzZvM3Q7OdDQ7UP4HGGPbOAvCdb3UFkaKldti2P2XA4/jMtX2vJFa6HJK+T6tBirKkxSZRv5OHAkC/oH2GhtIlVr7MeMSkmHniSaLRyLM1EPsHGdMQsCTIA+NdauCpZc2xZGsyzG3sWsAZQyfTKVNRUUQdEWHnCmMY1SF3dj1UnAUqbPo7Km4iEo2sLj0X2hUcBPfQrYhgoArWNL2WdwlnMD5y3pEyW5SJ9BaUvFgdezhcUjXymIQJ9DbkdFgdWyhcEn9xWfL3ceURwwXsEE6DNh7arYyLVtYVSOP8VTR2yIPiXOsgpTg7ptnPhpf5ltLDdnRKx2JcQo28ZHHLxVMxwyrDNnVFjuSolTt40TPrhOd1QlJSw3Z0SsdiXEKNvG5zrAC44yQnmIOaPCcldKnLotnFSvbuiuIdGvhbSvIImaZkzeZv1ofKD1I7ztucMvb9wheJGLeWuHC9L3TN62yjWb9M2ew+HXi8hLOQ+Iqb2lTJ9OZU2FRVC0hcciRt5mKxmHMgH6ZFi7KjxybWsYRU90Y7+Ingx4gA0lBUrHlrLj+kwmKrBvEcXw8ip/wIMJ1Oci2ldRao5hEzPSHn8IkzTOyCumwiEiQcGMnZhOF37NsWxh+Mldfm9DKAvXJyhNRQWwNZI9/Ir1Be49gmrGb3QcnI6tbM6kyrbw4ec4ZnObTnOaHziXGQtvz3XcAifjEf5wfCXUr0i1PVXtETVtcglHXCPIh26GCwRUZGV9kenawmaGX8/0fThbsvDdDbOKzYToew5nWeU+Dep2cRIO4OS5JmJTQrnNbnhYXbvYYB+6YbcIKw+6gXe6dRcHaocAq93wFFn4MYeSJG80d2yTCyf5DFdzsEf0mQBTQrC3Tux2Q8Rr2+dDv2RumHLzkdoXylBTWthFqhS6IZNGsY+buHhZUzNdvuQtdHQyTMzSJUx86Q6zwAu/9X2JWFF5D6Nki7/MUbKMPXJ7EXMJUC3Wp0HbVEGR6drCBj8wYexcCfW51PZUVERNW5jIWmPzNrhzyyso2sLjy8c7ut7AT32/wDZUHkHr2FJ2fLAaLxeyxwxrqT4JyqIKiETVFi5wgxq5DQd6PYEOH6bPSLCuItUYwRZe+Coy2KrxfbwOKBATQ/WZSVJQUWuJYgu393DDYbiSeRkbos+Ls6xi1aBuCyey3iI5l0fL9RkxVlWEpMq28IFjlHAn5Io5ClLK9LlU1lRMBEWbeIizJ5xd03lTHVfZ0UtUbeEyc/1lBhfkoryRlqwQiuH6/iNNReVLrZFs4Yep4S5ONobmw/S5CdZVzBoj2MbrS8RM0ct8g9icErbZFRCtaxsb/ihoCcdsBZqO3RmPlUdBPyO4FxOmJzwfWs57T9r9DVnGvMqPpMpmjtR0Xs38Ddko8BK44Jh7kfhTXMv3wESb6eBPVF5+zJq9KaYHuGJ7lfmwPYgv0eFhiaF7IJMkpfKvlihmXtZ0Gs8U3/UyzVyfwCOniHiAsvA9EEqTU0FsjWQHRnLkkt6v4K7gocP0e0bBuopYY4TD0jI++kDyh79KIAxU2RBDVLXlTqBE9cNiMt+OJG0ad1K2lJmxIda6UGEUbeEBndZ/4XMR7JURRKRPo7SlgsHr2cLi0U2+s69yJt/1KRArKgSMki3lL97DnuVfQ+HOMwiB+mRE+ypMzTFsZIa/6sP39nQJyvD9yFWp6MATIlnG79aF6cuX3arZ8TgNY4Z8Sh0pNkWzl2OTK1IlMTy6Vfg0b0jZ6Kni2cIyX7+WtoJckL4X8rZV7tekbx8rWetX59687RNtKB2tJYpV3FpaPVKEvds8mZVu9Gxv7/iSCa2dVMGwvmq3dPLc/ZhlHvO5UH7F0wz63E3E3nHLhuhT4yyrGrkGdavqqgxT3s4U/PQpMdG7VcsqF7b5kvTrepVQn01tT+U8ouZh/cZ4SYY8XvZzg4VIH0dpSwWD17MJhXjhCcltLjZEUtjshIXTtQnN3H1NoLdn7zcldKoQQ0C15U6MRPXDYjLvrAiNcjMZVtfh66r0Wo0k2JAYl0YnbA1xrGJXrGAL0Aq5Ia3SaidMvLItfPLxB166ISeghfNBsnB9XtJUVNxaI9nC72EHH4CGq4fZC3ZqqT4ryqKKkETVFi4fY29DsHDDAFquz4axqqIjVbaPD7N3znxiuiTYtknf4Suh1ZPQ2qWv6Umj2cdRdtqqLoT5uwuiDeV8pSWKfdzmyPee4UPtzi18Jdx5hLMx7GXCpReKevvUX0mq3etzS2T7+KoORdTO0uV4hE59Nzof0Z6dyvXt4wzXgpKTJ00nJ+qCyTT38WVpyt29uTW6LZzzGZm3FsbQINNnV1lTURIU7eIRiROxeWRwfCAvJljrxoNStIuHt5YRwVJzH+lMhSS+3+Lg21wTeHygawLJBCnha2Ut1WdOWVR5okTVFl8ss8b6Yi0159LBF6nE9/PFw1+VWD8yORmzespY7e41/yd1dXigukqfDXf+cReF6fafdF8qC9f3U2kqqmfSGsmWOs1m8jfkxi34SPC+9PI09OCxcexkBzPhOEVt+EqNfQlWKelBFKLZyZHUYbgRcoVeVDW50NqXJ5OiHlNp1MNyFTcLna23WqEQf4xOcWPSHVxllMGXeaG6ffv2n9tv5Ht8zmc33DCLEXxYzwnyiPn37rxk57uvi8iHYdG0VwX+K46y3bRHrMH6GjY97UHvapa7+6hMNHFgMg4Dd+Z+5m/fJAqKfO6XJXjtP/XCZQpL9xhatHakG9ItavthjEK08JC/Is+gZnp1ucbS5EviblBJfdQrxLn0pXAN9mu56CW9TdKrS/jfyWJv2vvz5vx08W5+Ou/fnIzH/cnJ4rx/M78e9Ufj2eRkfnxyOjkf/tVzXgI/TC5eRifT3jZNdxeDQQLv8wRuchR4yzhKonV6tIyCQbRew2utg2QH59xWyRahNPAH4+FoOBiNBoHrhZBLsHKxdCH6zx6K3Xi5fXXczSZGG3xMcxb5WQB+fU4cewAZzf8l2R6w0XiBh5Kry+87L6k9EWxUVbESjyETlZTx89DFH3gsqwz+ZKIH78DdE+nXqiZRK8mVKp2Qk5spagVjQ6h3uRIuap3Pq8ui7pHqVWUbP2E6gE2m+mpSbZGxAnFdzpa7Kwtf1GOouVUuSv/BsYjDcI5zOj65fj++ft8/n5yP+pOzJ9S/Gd9M+pP34FKTxex4eDahHGdi5jjD88F57TeTi533HKUz7Dxz3EB4+NIlJ8l2O9i4hW85wcOKX++j8FcvgbelSLXhAvFbzncooIPg87GFNCkLzbmdLNWr/wFQSwMEFAAAAAgAprWmXDYjUklhDwAAzpYAACcAAAB4bC9waXZvdENhY2hlL3Bpdm90Q2FjaGVEZWZpbml0aW9uMy54bWzVnVtv2zgWgN8X2P8g+Gn3wXHsOFfEGSR2s1MgaTtNOruDYlAoFm1rq4tHlyDBYP77HlI33iSKtBtwX9r48PCQ/Hh4EUlRlz+9hIHzjJLUj6PZYHxwOHBQtIw9P1rPBl8eb4dnAyfN3MhzgzhCs8ErSgc/Xf39b5db/znO5u5ygxZo5Ud+BgYcMBals8Emy7YXo1EKgaGbHsRbFEHIKk5CN4OfyXqUbhPkeukGoSwMRpPDw5NR6PrRoLBwkfSxEa9W/hIt4mUeoigrjCQocHFO0o2/TStr4bKPudBNvufb4TIOt2DiyQ/87JUYHTjh8uL9OooT9ykABC9JZfhFzGfoL5M4jVfZARgaFVkUSjueQkaffcwc6LrPaOFm7mwA7BO0SlC6+Rjdxa4H9VFLkHfzOhtc59kmhuRLNeRBRMjR9Pj07PTgZHw+Ph4fH05PjgbOEvhmyPu1qlmoxjoSLQz96HORJi5cHQIWErSME28e51FGspbm222cZA/50x85SiAzkLlSdu09u9EScpP4QUACXpKL3IcC/Hm8OJ6f3k6mw7Ob8elwenZ8Prw+OZ0PJzeTyc3h0XR8enby1+Dqcok96SHOkyVystctFAq9ZCiJ3ADKEkcRWuJqfU+YjEr1Wx8FXgrBJIvnlRUidiI3BCNfP7vRGv1+8PVj4gEKZ+Gv4oz/CSm4W2x+NqDVBk6Uh7dhhhOF8m98lLjJcoNLPobfAXpGpLBXlwAvQd77DIV1biZY7DzPBh9inF/y52/QduDvEaUOv0jJSZ7pYlX5v0dumkP1QJ4Xfpr50TJzSJ048cr5GdoQSpz33u9UETrUukp0WpfoaHJ6cspC5mn+G8q7ifMUk23+pjJRC9uTPAKX7GZI0BKGo2ttcGLFM9VOE2sqvQPQoTK7+6ryKud3foRqh6V+UJgbaVfOm6oVnTXKoNtNH1Do3/svyHuEpgcdOLg3NDoS9CGOik6Gkj1kCRkfDkmtdDtwXQ9baD7gv2vnCwwWuC5YAd0ImRCuZK0u82YleXADlEIW0ziCYtC/qDJQ4vaqmUw6msDblQfGSucxduZ5msUhSnCheBFdMi6sy/OsKh7uNZNXunSlRFa4IqijbNO3KxvVwtJyjPi5HIx8VI844/FZNQJWoa9OHvkwWn/gxsLeLc/NoKU/5bj5w6DuoZWbB9k9Cp9QAq1Yafng63UQQE/rBoGOuufDhA5PjiSRIBd+ug3c19s4gLFvNsA9FRn/oS2FJGe/ukFOZlTFPGJ8BD1XHj25AZmj4F7r6nJFpg5fUneNmviluJC+zAZDMtUgqrXsmHR5VPSqA6yZczXUUgd1Y6Ocr5IBME3uVNPtJi4omrEGon1ZV5M1hU9WGXM+5LgO6eGZCzKnU9lWuSWfl0rfFlZkviIBRcv1KTFWVYikyrbw+SWPMyThQ8v1+TBWVXykyrbwKR+z8FyPbmeUWJ8ObVMFR6ZrGZtqVUHCpwoyZlTb7slJ0LeFFe9A+Lc+FWJFhYJRsqX8RSfIU2ik+iwoiyoiElVbuNTj56dYOo5/ivXJ0DZVaGS6trDRe7LSnQcK1lWoWiOY8XqbOThZnNrDHJwvvGTK0KKi779taelWED+HNaun/c/fq/LdxUuyAM8MnOWKQRVmTq+23hebEME2XteeB6u7qQxXGWROq7LdFxavbxsrsu4NKzhd6zXGPWa9OtT9AF23Y07fjNXb9Jdne+ovb2B3h1kopCqCD9P3WsG6ym1bI5jVxf77RD6DkvGlRWV3en3XOtryaNuaR5VP2fjCh5nT6z2+CNmxlZdkfKnybjy+cAaUD29t+ta1U3F8qZtHtR+gO75wBnqzqsY62/yKPHYiz8F7gsIeainn218G6/l9NxBo86oBgMnLjwEFW6fs1kHP5exPCZz7cO5gx56G1Ej1uyjKooqLRNWWptZnt1S3ibH7sYrpG7N3W+iasXmbqdvJnqZu76PnGHtkC39JsL6HytJQuWpXHLN62f80rlhpKxathS6vlOvTYqyqMEmVbeTjwGEyGB9go7WNVKOxGzMqJR16kmi2cCxPcz3AxnXOLAgwAfrUWLsqWHJtWxjN8wR7F7MGUMn0ydTWVFAERVt4wGnMLM5cPIzVZxgrmT6P2pqKh6BoC49H94VGAT/1KWAbKgC0ji1ln8Mp1DWcFKVPlBQifQaVLRUHXs8WFo98oyACfQ6FHRUFVssWBp/cV3ww3nlESch4BROgz4S1q2Ij17aFUTX/FE8dsSH6lDjLKkwt6rZx4h/7q2xjuTkjYrUvIUbZNj7i5K1+wiHTOnNGpeW+lDh12zjhg+v0QFVRwnJzRsRqX0KMsm18rkO84CgjVISYMyot96XEqdvCSfXSie4aEv1CS/cKkqhpxuRt1o8me1o/wtueW/zyxj2CN9CY9424IH3P5G2rXLNN36we9r9eRF7KeUBM661k+nRqayosgqItPG4T5K83knkoE6BPhrWrwiPXtoZR/ER39rfxkwEPsKGkQOnYUnbcnsmDCuxbxAm8dcsf8GAC9bmI9lWU2mPYxIz0x++jNEty8nKscIhIUDBjJ6bTh197LFsYfnKX37sQysL1CUpTUQHsjGQPv3J9gXuPoH7iNzoOTsdWdmdSZVv48M84Zs82vZ5pfuCzzER4e67nFjiZj/CH42uhfkNq7Klaj6hpk0s44hpBMXUzXCCgIivbi0zXFjZz/HpmEMAZktvAXTOr2EyIvudwllXu06JuFyfhAE6RayI2JVTY7IeH1bWLDfahG3aLsPagG3inW3dxoHEIsNoPT5mFH3MoSfJGc88+uXSSz3CpCHtEnwkwJQR768RuP0S8tn0+9EvuRhn3PNL4QhVqSgu7SJ1CP2TSKPZxExcvG2qmy5e8hZ5OholZuoSJrwtiFnjht74vESsq72GUbPGXBUqXiU/uXWKuL2rE+jRomyooMl1b2OAKE+bOtVCfS2NPRUXUtIWJrDc274N797yCoi08vny8p9sN/NT3C2xD5RG0ji1lxwer8XIhe8ywkeqToCyqgEhUbeECd7+R23Bg1BPo8GH6jATrKlKtEWzhha8ig62aIMDrgAIxMVSfmSQFFbWOKLZwewd3M0aezMvYEH1enGUVqxZ1WziR9RbJuTxars+IsaoiJFW2hQ8co4TbLD3mKEgl0+dSW1MxERRt4iE+PeHsmj43NXGVA71E1RYuczdY5nCzLyo6ackKoRiu7z/SVFS+1BnJFn6YGh7iZHNoPkyfm2Bdxaw1gm28vsTMI3qVbxCbU8I2+wKidW1jwx8FreCYrUDTsXvjsfIo6GcE92LC4wnPh5bz3pP1f0OWMa/yI6mymSO1nVczf0M2Dv0ULjjmXiT+lDTyHTDRZnr4E5WXH7Nmb4rpAS4H9/IAtgfxJTo8LDF0B2SSpFT+1RHFzMvaTuOZ4rteZrkbEHjkFBEPUBa+A0JpciqInZHswEiOXNL7FdwVPHSY/sgoWFcRa42wX1rGRx9I/vD3FISJKhtiiKqx3AuUqL5fTObbkaRP407KVjIzNsRaHyqMoi08YND6L3zogr0ygoj0aVS2VDB4PVtYPLrpd/ZVzvS7PgViRYWAUbKl/OV72PPiOy7ceQYhUJ+MaF+FqT2Gjczw54j40Z4uQRW+G7k6FR14QiTL+N258PjyZeu1Ox6nYcyQT6knxbZo9nJsc0WqJIZHt0qf5g0pOz1VPFtYFuvX0l6QC9L3Qt62yv3a9O1jJev9mtyb932iDaWjdUSxiltHr0eKsHOfJ7PSj57t/R1fMqG3kyoYtlftnk6eux+zzGP+LFRc8TSHMXcds3fcsiH61DjLqk6uRd2qtirDVPQzJT99Skz0fs2yzoVtviT9LmAt1GfT2FM5j6i5X78xXpIh1ct+KLEU6eOobKlg8Ho2oRAvPCG5LcSGSEqbvbBwujahWbivKYz27P2mhE4dYgiosdyLkai+X0zmgxWhUW0mw+o6fBeWXquRBBsS49Loha0ljlXsyhVsAVopN6RVWe2FiVe2hU8x/8BLN+QEtHA+SBauz0uaiopbZyRb+D1s4cvVcPUwe8FOI9VnRVlUEZKo2sLlY+KvCRZuGkDL9dkwVlV0pMr28WH2zpmPY1cEuzbpe3wltK4JrV36hp40mn0cZaetmkKYv7sg2lA+r3REsY/bAgX+M3xi3rmD75s7j3A2hr1MuPJCUW+X9itJtX977ohsH1/VoYjGWfocj9Bp70bnI7qzU7u+fZzhWlBy8qTt5ERTMJnmLr4sTbm/N3dGt4Vz8UTmr4Q5NMj02dXWVJQERbt4xOKD2CI2OD5QFBOs9eNBKdrFw1/JiGCpuY/0pkIS321x8G2uCZzu6ZpA8oCU8q2ykeozpyyqPFGiauaLb8P8aM/MWT+vYJj4eRNX2folqmbM938NY+MOcjJmfQBjtb9H/p/0A4d78kn63Lnzj/s4yjb/pMdpWbh+3yBNRVUnnZFs8V02k78hN+nAR4J3pVekoQePjWMnO3jKTjLUha/S2JVgnZIeRCGanRxJG4bbJj30omrJpdauPJkU9ZhKo+6Xq7gR6Wx8z0MR/tCd4jame7gmKYev/kJz+/btP3ffyLf+nM9utGYWOviwgRMWEYtv6fnpNnBfb+MAplyzQR34ryTOt7MBsQZrd9j0bACjq1nuPsRVoqkDD/rwUMDc/fztm0RBkc/dsgRXCmR+tMxgWwBDi1eOdLO7Q203jHGEbn0UeKQOGqZXlyssTb+k7hpV1MeDUlxIX0rXYL9cjl6yuzS7uoT/nTzxZ4M/b85Pb08Wp4vhzfFkMpwe354PbxbX4+F4Mp8eL46OT6fnh38NnJcwiNKLl/HxbLDJsu3FaJTCu0Khmx6E/jKJ03iVHSzjcBSvVvDK7Cjdwhk6L90glIXBaHI4PhyNx6PQ9SPIJVi5WLoQ/WcfJW6y3Lw67nqdoDU+AjqPgzwEvz4njj2CjBb/kmyP2Gi8wEfp1eX3rZ82ngg26qZYiyeQiVrK+Hnk4o9HVk0Gf47Rh/frPhDp17olUavUtSqdkFOYKVsFY0Nod4USLmqTz6vLsu2R5lVnG9cwHcAmU3+RqbHIWIG4LmfL3VaFL9sxtNw6F5X/4FjEYTjHOZ0cX7+bXL8bnk/Px8Pp2RMa3kxupsPpO3Cp6e386PBsSjnO1MxxDs9H543fTC+2/nOczbHzLHAH4eMLnZw0325hUxi+EwWVlbx+iKNf/RTexCLNhgvEb1Dfo5AOgk/TltK0KjTndrJUr/4HUEsDBBQAAAAIAKa1plzjAqOqYA8AAM+WAAAnAAAAeGwvcGl2b3RDYWNoZS9waXZvdENhY2hlRGVmaW5pdGlvbjQueG1s1Z1bb9s4FoDfF9j/IPhp98Fx7DgXB3EGjt3sFEjaTpPO7qAYFIpN29rq4tUlSDCY/76H1I03iSLtBpyXNj48PCQ/Hl5EUtTVTy+B7zyjOPGicNobHh33HBQuo5UXbqa9L4+3/Yuek6RuuHL9KETT3itKej9d//1vVzvvOUrn7nKLFmjthV4KBhwwFibT3jZNd5eDQQKBgZscRTsUQsg6igM3hZ/xZpDsYuSuki1CaeAPRsfHZ4PA9cJebuEy7mIjWq+9JVpEyyxAYZobiZHv4pwkW2+XlNaCZRdzgRt/z3b9ZRTswMST53vpKzHac4Ll5ftNGMXukw8IXuLS8IuYz8BbxlESrdMjMDTIsyiUdjiGjD57mDnQdZ/Rwk3daQ/Yx2gdo2T7MbyL3BXURyVBq5vXaW+WpdsIki/U0AoiQo7Gp+cX50dnw8nw9HR8MrkYnvecJQBO0erXsmqhHqtYtDDwws95orh0VcgJVl9G8WoeZWFK8pZku10Upw/Z0/8yFENuIHeFbLZ6dsMlZCf2fJ8EvMSXmQcl+GM2X1zMhu9G/dPxxaQ/Phmd9Wfns0X/9Hg2uZjczEdnp8d/9q6vltiVHqIsXiInfd1BqdBLiuLQ9aEsURiiJa7X9wTKoFC/9ZC/SiCYZHFSWiFiJ3QDMPL1sxtu0O9HXz/GK0DhLLx1lPI/IQV3h81Pe7Razwmz4DZIcaJQ/q2HYjdebnHJh/DbR8+IFPb6CuDFaPU+RUGVmxEWO8/T3ocI55f8+Rs0Hvh7QKnDL1Jykme6WGX+75GbZFA9kOeFl6ReuEwdUidOtHZ+hkaEYuf96neqCC1qbSUCnylKdDI6PztnIfM0/w3l3UZZgsnWf1OZqITNSZ6AS7YzJGgJw8FMGxxf8Uy1ww9JpUdpC6DjiSq7h6ryMud3Xogqh6V+UDmvpW05r6tWdNYwhX43eUCBd++9oNUjND3owcG9odGRoA9RmPcylOwhjckAcUxqpd2Bq3rYQfMB/904X2C0wE2QFdD1wYRwJWt0mTcryYProwSymEQhFIP+RZWBEjdXzWjU4lNvVx4YLJ3HyJlnSRoFKMaF4kV0ybiwNs+zqni414xf6dIVElnh8qCWso3frmxUC0uKMeLnYjDyUDXiDIcX5QhYhr46WejBaP2BGws7tzw3hZb+lOHmD4P6Cq3dzE/vUfCEYmjFSstHX2e+Dz2t6/s66isPZnR4diSJBLnwkp3vvt5GPox90x7uqcj4D20pIDn71fUzMqXK5xHDE+i5svDJ9ckcBfda11drMnX4krgbVMcvxLn0Zdrrk6kGUa1kp6TLo6KXHWDFnKuhhjqoGhvlfKUMgGlyp5puO3FB0Yw1EO3KupysKXyyzJjzIcN1SA/PXJA5ndK2yi35vJT6trAik1QJKFquT4mxqkIkVbaFzy9ZlCIJH1quz4exquIjVbaFT/GYhed6dDujxPp0aJsqODJdy9iUywoSPmWQMaPKdkdOgr4trHgHwr/1qRArKhSMki3lzztBnkIt1WdBWVQRkajawqUaPz9F0nH8U6RPhrapQiPTtYWN3pOV7jxQsK5C1RjBjNfbzMHJ4tQB5uB84SVThgYVff9tSku3gvg5rFk9HX7+XpbvLlqSFXhm4CxWDMowc3qV9a7YhAi28ZqtVrC6m8hwFUHmtErbXWHx+raxIuvesILTtl5j3GNWq0PtD9BVO+b0zVi9TX95caD+8gZ2d5iFQqoi+DB9rxWsq9y2MYJZXRy+T+QzKBlfGlT2p9d1raMpj7ateZT5lI0vfJg5vc7ji5AdW3lJxpcy78bjC2dA+fDWpG9dOxXHl6p5lPsBuuMLZ6Azq3Kss82vyGMnWjl4T1DYQy3kfPtLYT2/6wYCbV41ADB5+TGgYOuU3TrouJz9KYaDH84d7NjTkGqpfhdFWVRxkaja0tS67JbqNjF2P1YxfWP2bnNdMzZvM3U7O9DU7X34HGGPbOAvCdb3UFkaKldti2NWL4efxuUrbfmitdDlFXJ9WoxVFSapso18HDhMBuMDbLQ2kao19mNGpaRDTxLNFo7Faa4H2LjOmAUBJkCfGmtXBUuubQujeRZj72LWAEqZPpnKmgqKoGgLDziNmUapi4ex6gxjKdPnUVlT8RAUbeHx6L7QKOCnPgVsQwWA
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    <PARAMETER_SHEET_FILE_NAME>xl/worksheets/sheet7.xml</PARAMETER_SHEET_FILE_NAME>
    <COLUMN_HEADER_ROW_NUM>1</COLUMN_HEADER_ROW_NUM>
    <TEMPLATE_SHARED_STRINGS>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>0</STRING_ID>
      <STRING>Operating Unit</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>1</STRING_ID>
      <STRING>N/A</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>2</STRING_ID>
      <STRING>Salesperson</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>3</STRING_ID>
      <STRING>Customer</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>4</STRING_ID>
      <STRING>Orders Deliver In Full On Time (DIFOT)</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>5</STRING_ID>
      <STRING>Values</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>6</STRING_ID>
      <STRING>No</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>7</STRING_ID>
      <STRING>Yes</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>8</STRING_ID>
      <STRING>Ship To Customer</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>9</STRING_ID>
      <STRING>Ship To Location</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>10</STRING_ID>
      <STRING>Ordered Date</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>11</STRING_ID>
      <STRING>Order Number</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>12</STRING_ID>
      <STRING>Currency</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>13</STRING_ID>
      <STRING>Line</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>14</STRING_ID>
      <STRING>Line Status</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>15</STRING_ID>
      <STRING>Item</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>16</STRING_ID>
      <STRING>Description</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>17</STRING_ID>
      <STRING>Warehouse</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>18</STRING_ID>
      <STRING>Shippable Flag</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>19</STRING_ID>
      <STRING>Cancelled Flag</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>20</STRING_ID>
      <STRING>Split Line</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>21</STRING_ID>
      <STRING>Request Date</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>22</STRING_ID>
      <STRING>Promise Date</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>23</STRING_ID>
      <STRING>Schedule Ship Date</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>24</STRING_ID>
      <STRING>Actual Shipment Date</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>25</STRING_ID>
      <STRING>Cancel Date</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>26</STRING_ID>
      <STRING>Unit Selling Price</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>27</STRING_ID>
      <STRING>UOM</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>28</STRING_ID>
      <STRING> Ordered Quantity</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>29</STRING_ID>
      <STRING> Shipped Quantity</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>30</STRING_ID>
      <STRING> Extended Price</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>31</STRING_ID>
      <STRING>(blank)</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>32</STRING_ID>
      <STRING>Grand Total</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>33</STRING_ID>
      <STRING>Orders</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>34</STRING_ID>
      <STRING>DIFOT</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>35</STRING_ID>
      <STRING>Delivered In Full</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>36</STRING_ID>
      <STRING>Percentage KPI</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>37</STRING_ID>
      <STRING>Status Counts</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>38</STRING_ID>
      <STRING>Yes Count</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>39</STRING_ID>
      <STRING>No Count</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>40</STRING_ID>
      <STRING>Row Labels</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>41</STRING_ID>
      <STRING>Orders%</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>42</STRING_ID>
      <STRING>Orders Count</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>43</STRING_ID>
      <STRING>Metric</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>44</STRING_ID>
      <STRING>Label</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>45</STRING_ID>
      <STRING>DIF</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>46</STRING_ID>
      <STRING>DOT</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>47</STRING_ID>
      <STRING>Order Count KPI</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>48</STRING_ID>
      <STRING>Chart Cap</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>49</STRING_ID>
      <STRING>Padding</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>50</STRING_ID>
      <STRING>Total Orders</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>51</STRING_ID>
      <STRING>Delivered On Time</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>52</STRING_ID>
      <STRING>Delivered In Full On Time</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>53</STRING_ID>
      <STRING>Column Labels</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>54</STRING_ID>
      <STRING>2000</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
    </TEMPLATE_SHARED_STRINGS>
    <TEMPLATE_PARAMETER_DEFAULTS>
     <TEMPLATE_PARAMETER_DEFAULTS_ROW>
      <PARAMETER_NAME>DIFOT Eligible Only</PARAMETER_NAME>
      <DEFAULT_VALUE>Y</DEFAULT_VALUE>
     </TEMPLATE_PARAMETER_DEFAULTS_ROW>
    </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>AA1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>AB1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>AC</CELL_IDENTIFIER>
      <STYLE_ID>5</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>AC1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>AD</CELL_IDENTIFIER>
      <STYLE_ID>5</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>AD1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>AE</CELL_IDENTIFIER>
      <STYLE_ID>5</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>AE1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>AF</CELL_IDENTIFIER>
      <STYLE_ID>5</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>AF1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>AG1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>AH1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>AI</CELL_IDENTIFIER>
      <STYLE_ID>3</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>AI1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>AJ1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
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     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>AK1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>AL</CELL_IDENTIFIER>
      <STYLE_ID>6</STYLE_ID>
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     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>AL1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>AM1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>AN1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>AO1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
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     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>AP1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>AQ1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>AR1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
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     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>AS1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
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     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>AT1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
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     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>AU1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>AV1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>AW1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>AX1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>AY1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>AZ1</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>BA1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BB1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BC1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BD1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BE1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BF1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BG1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BH</CELL_IDENTIFIER>
      <STYLE_ID>5</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BH1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BI1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BJ</CELL_IDENTIFIER>
      <STYLE_ID>4</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BJ1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BK</CELL_IDENTIFIER>
      <STYLE_ID>5</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BK1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BL</CELL_IDENTIFIER>
      <STYLE_ID>5</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BL1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BM</CELL_IDENTIFIER>
      <STYLE_ID>5</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BM1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BN1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BO1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BP</CELL_IDENTIFIER>
      <STYLE_ID>5</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BP1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BQ1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BR1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BS1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BT</CELL_IDENTIFIER>
      <STYLE_ID>2</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BT1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BU</CELL_IDENTIFIER>
      <STYLE_ID>3</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BU1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BV</CELL_IDENTIFIER>
      <STYLE_ID>3</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BV1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BW</CELL_IDENTIFIER>
      <STYLE_ID>3</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BW1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BX</CELL_IDENTIFIER>
      <STYLE_ID>3</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BX1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BY</CELL_IDENTIFIER>
      <STYLE_ID>6</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BY1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>BZ1</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>CA1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CB1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CC1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CD1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CE</CELL_IDENTIFIER>
      <STYLE_ID>3</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CE1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CF1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CG</CELL_IDENTIFIER>
      <STYLE_ID>3</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CG1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CH1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CI</CELL_IDENTIFIER>
      <STYLE_ID>3</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CI1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CJ1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CK</CELL_IDENTIFIER>
      <STYLE_ID>3</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CK1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CL1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CM1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CN1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CO1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CP1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CQ</CELL_IDENTIFIER>
      <STYLE_ID>5</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CQ1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CR</CELL_IDENTIFIER>
      <STYLE_ID>5</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CR1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CS1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CT1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CU1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CV</CELL_IDENTIFIER>
      <STYLE_ID>5</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CV1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CW</CELL_IDENTIFIER>
      <STYLE_ID>3</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CW1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CX</CELL_IDENTIFIER>
      <STYLE_ID>5</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CX1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CY</CELL_IDENTIFIER>
      <STYLE_ID>5</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CY1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CZ</CELL_IDENTIFIER>
      <STYLE_ID>3</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>CZ1</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>DA</CELL_IDENTIFIER>
      <STYLE_ID>5</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>DA1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>DB1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>DC1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>DD1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>DE1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>DF1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>DG1</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>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>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>data</SHEET_TYPE>
      <CELL_IDENTIFIER>U</CELL_IDENTIFIER>
      <STYLE_ID>3</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>U1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>V1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>W1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>X1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>Y1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>Z1</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>A11</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>A12</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>A13</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>A14</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>A15</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>A8</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>A9</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B3</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_ROW>
    <TEMPLATE_NAME>Default</TEMPLATE_NAME>
    <DYNAMIC_COLUMNS>Y</DYNAMIC_COLUMNS>
    <OWNER>SYSADMIN</OWNER>
    <TEMPLATE_COLUMNS>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>91</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ACTUAL_SHIPMENT_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>20</DISPLAY_SEQUENCE>
      <COLUMN_NAME>BILL_TO_ADDRESS</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>21</DISPLAY_SEQUENCE>
      <COLUMN_NAME>BILL_TO_COUNTRY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>17</DISPLAY_SEQUENCE>
      <COLUMN_NAME>BILL_TO_CUSTOMER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>18</DISPLAY_SEQUENCE>
      <COLUMN_NAME>BILL_TO_CUSTOMER_NUMBER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>19</DISPLAY_SEQUENCE>
      <COLUMN_NAME>BILL_TO_LOCATION</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>22</DISPLAY_SEQUENCE>
      <COLUMN_NAME>BILL_TO_TAX_REFERENCE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>83</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CALCULATE_PRICE_FLAG</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>64</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CANCELLED_AMOUNT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>61</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CANCELLED_BY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>59</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CANCELLED_FLAG</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>63</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CANCELLED_QUANTITY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>60</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CANCEL_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>62</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CANCEL_REASON</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>33</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CHARGES</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>30</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CURRENCY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>2</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CUSTOMER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>3</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CUSTOMER_NUMBER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>10</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CUSTOMER_PO</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>69</DISPLAY_SEQUENCE>
      <COLUMN_NAME>Class</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>72</DISPLAY_SEQUENCE>
      <COLUMN_NAME>Commodity</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>96</DISPLAY_SEQUENCE>
      <COLUMN_NAME>DELIVERY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>66</DISPLAY_SEQUENCE>
      <COLUMN_NAME>DESCRIPTION</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>76</DISPLAY_SEQUENCE>
      <COLUMN_NAME>DISCOUNTED_PRICE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>79</DISPLAY_SEQUENCE>
      <COLUMN_NAME>EXTENDED_PRICE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>50</DISPLAY_SEQUENCE>
      <COLUMN_NAME>FOB</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>49</DISPLAY_SEQUENCE>
      <COLUMN_NAME>FREIGHT_TERMS</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>68</DISPLAY_SEQUENCE>
      <COLUMN_NAME>Family</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>104</DISPLAY_SEQUENCE>
      <COLUMN_NAME>HEADER_CREATED_BY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>105</DISPLAY_SEQUENCE>
      <COLUMN_NAME>HEADER_CREATION_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>114</DISPLAY_SEQUENCE>
      <COLUMN_NAME>HEADER_ID</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>106</DISPLAY_SEQUENCE>
      <COLUMN_NAME>HEADER_LAST_UPDATED_BY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>107</DISPLAY_SEQUENCE>
      <COLUMN_NAME>HEADER_LAST_UPDATE_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>29</DISPLAY_SEQUENCE>
      <COLUMN_NAME>HEADER_STATUS</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>93</DISPLAY_SEQUENCE>
      <COLUMN_NAME>INVOICED_QUANTITY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>45</DISPLAY_SEQUENCE>
      <COLUMN_NAME>INVOICE_ACCOUNTED_AMOUNT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>44</DISPLAY_SEQUENCE>
      <COLUMN_NAME>INVOICE_AMOUNT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>36</DISPLAY_SEQUENCE>
      <COLUMN_NAME>INVOICE_CLASS</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>42</DISPLAY_SEQUENCE>
      <COLUMN_NAME>INVOICE_CURRENCY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>39</DISPLAY_SEQUENCE>
      <COLUMN_NAME>INVOICE_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>40</DISPLAY_SEQUENCE>
      <COLUMN_NAME>INVOICE_GL_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>43</DISPLAY_SEQUENCE>
      <COLUMN_NAME>INVOICE_LINE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>38</DISPLAY_SEQUENCE>
      <COLUMN_NAME>INVOICE_NUMBER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>26</DISPLAY_SEQUENCE>
      <COLUMN_NAME>INVOICE_SALESPERSON</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>41</DISPLAY_SEQUENCE>
      <COLUMN_NAME>INVOICE_STATUS</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>37</DISPLAY_SEQUENCE>
      <COLUMN_NAME>INVOICE_TYPE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>65</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ITEM</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>67</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ITEM_TYPE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>70</DISPLAY_SEQUENCE>
      <COLUMN_NAME>Inv.Items Description</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>71</DISPLAY_SEQUENCE>
      <COLUMN_NAME>Item Category</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>55</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>113</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_CATEGORY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>80</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_CHARGES</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>108</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_CREATED_BY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>109</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_CREATION_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>117</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_DAYS_LATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>128</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_DIF</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>130</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_DIFOT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>129</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_DOT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>115</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_ID</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>110</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_LAST_UPDATED_BY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>111</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_LAST_UPDATE_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>116</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_NUMBER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>118</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_QUANTITY_SHORT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>48</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_SET</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>119</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_SHIPPED</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>58</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_STATUS</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>57</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LINE_TYPE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>75</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LIST_PRICE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>101</DISPLAY_SEQUENCE>
      <COLUMN_NAME>Line: DFF Context</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>103</DISPLAY_SEQUENCE>
      <COLUMN_NAME>Line: Installation End Date</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>102</DISPLAY_SEQUENCE>
      <COLUMN_NAME>Line: Installation Start Date</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>97</DISPLAY_SEQUENCE>
      <COLUMN_NAME>NEXT_STEP</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>1</DISPLAY_SEQUENCE>
      <COLUMN_NAME>OPERATING_UNIT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>23</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORDERED_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>131</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORDERS_DIF</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>133</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORDERS_DIFOT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>132</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORDERS_DOT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>112</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORDER_CATEGORY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>120</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORDER_DATE_TYPE_CODE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>4</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORDER_NUMBER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>27</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORDER_SOURCE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>28</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORDER_SOURCE_REFERENCE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>9</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORDER_TYPE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>126</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORIG_LINE_ACTUAL_SHIPMENT_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>125</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORIG_LINE_DELIVERY_LEAD_TIME</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>122</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORIG_LINE_ID</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>123</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORIG_LINE_PROMISE_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>124</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORIG_LINE_QUANTITY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>127</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORIG_LINE_TOT_SHIPPED_QUANTITY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>90</DISPLAY_SEQUENCE>
      <COLUMN_NAME>OVERRIDE_ATP_DATE_CODE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>53</DISPLAY_SEQUENCE>
      <COLUMN_NAME>PACKING_INSTRUCTIONS</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>35</DISPLAY_SEQUENCE>
      <COLUMN_NAME>PAYMENT_TERMS</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>54</DISPLAY_SEQUENCE>
      <COLUMN_NAME>PAYMENT_TYPE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>24</DISPLAY_SEQUENCE>
      <COLUMN_NAME>PRICE_LIST</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>86</DISPLAY_SEQUENCE>
      <COLUMN_NAME>PRICING_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>84</DISPLAY_SEQUENCE>
      <COLUMN_NAME>PRICING_QUANTITY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>85</DISPLAY_SEQUENCE>
      <COLUMN_NAME>PRICING_UOM</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>99</DISPLAY_SEQUENCE>
      <COLUMN_NAME>PROJECT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>88</DISPLAY_SEQUENCE>
      <COLUMN_NAME>PROMISE_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>73</DISPLAY_SEQUENCE>
      <COLUMN_NAME>Purchasing Description</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>78</DISPLAY_SEQUENCE>
      <COLUMN_NAME>QUANTITY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>5</DISPLAY_SEQUENCE>
      <COLUMN_NAME>QUOTE_NUMBER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>98</DISPLAY_SEQUENCE>
      <COLUMN_NAME>RELEASE_STATUS</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>87</DISPLAY_SEQUENCE>
      <COLUMN_NAME>REQUEST_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>25</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SALESPERSON</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>89</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SCHEDULE_SHIP_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>56</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SHIPMENT_NUMBER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>51</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SHIPMENT_PRIORITY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>94</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SHIPPABLE_FLAG</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>92</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SHIPPED_QUANTITY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>52</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SHIPPING_INSTRUCTIONS</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>47</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SHIPPING_METHOD</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>95</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SHIP_SET</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>14</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SHIP_TO_ADDRESS</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>15</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SHIP_TO_COUNTRY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>11</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SHIP_TO_CUSTOMER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>12</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SHIP_TO_CUSTOMER_NUMBER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>13</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SHIP_TO_LOCATION</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>16</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SHIP_TO_TAX_REFERENCE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>7</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SOURCE_DOCUMENT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>6</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SOURCE_TYPE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>121</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SPLIT_LINE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>31</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SUBTOTAL</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>100</DISPLAY_SEQUENCE>
      <COLUMN_NAME>TASK</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>32</DISPLAY_SEQUENCE>
      <COLUMN_NAME>TAX</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>81</DISPLAY_SEQUENCE>
      <COLUMN_NAME>TAX_AMOUNT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>82</DISPLAY_SEQUENCE>
      <COLUMN_NAME>TAX_CODE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>34</DISPLAY_SEQUENCE>
      <COLUMN_NAME>TOTAL</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>8</DISPLAY_SEQUENCE>
      <COLUMN_NAME>TYPE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>77</DISPLAY_SEQUENCE>
      <COLUMN_NAME>UNIT_SELLING_PRICE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>74</DISPLAY_SEQUENCE>
      <COLUMN_NAME>UOM</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>46</DISPLAY_SEQUENCE>
      <COLUMN_NAME>WAREHOUSE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
    </TEMPLATE_COLUMNS>
    <TEMPLATE_PIVOT>
    </TEMPLATE_PIVOT>
    <TEMPLATE_SHARED_STRINGS>
    </TEMPLATE_SHARED_STRINGS>
    <TEMPLATE_PARAMETER_DEFAULTS>
    </TEMPLATE_PARAMETER_DEFAULTS>
    <TEMPLATE_STYLES>
    </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_ROW>
    <TEMPLATE_NAME>Intrastat</TEMPLATE_NAME>
    <DYNAMIC_COLUMNS>Y</DYNAMIC_COLUMNS>
    <OWNER>ENGINATICS</OWNER>
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     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>ACCOUNT_NUMBER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>ACTUAL_SHIPMENT_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>BILL_TO_ACCOUNT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>11</DISPLAY_SEQUENCE>
      <COLUMN_NAME>BILL_TO_ADDRESS</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>12</DISPLAY_SEQUENCE>
      <COLUMN_NAME>BILL_TO_COUNTRY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>10</DISPLAY_SEQUENCE>
      <COLUMN_NAME>BILL_TO_CUSTOMER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>9</DISPLAY_SEQUENCE>
      <COLUMN_NAME>BILL_TO_CUSTOMER_NUMBER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>BILL_TO_LOCATION</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>13</DISPLAY_SEQUENCE>
      <COLUMN_NAME>BILL_TO_TAX_REFERENCE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>CALCULATE_PRICE_FLAG</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>CANCELLED_AMOUNT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>CANCELLED_BY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>CANCELLED_FLAG</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>CANCELLED_QUANTITY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>CANCEL_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>CANCEL_REASON</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>CHARGES</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>CURRENCY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>8</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CUSTOMER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>7</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CUSTOMER_NUMBER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>CUSTOMER_PO</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>Class</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>-22.0024</DISPLAY_SEQUENCE>
      <COLUMN_NAME>Commodity</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>DELIVERY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>21</DISPLAY_SEQUENCE>
      <COLUMN_NAME>DESCRIPTION</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>DISCOUNTED_PRICE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>EXTENDED_PRICE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>31</DISPLAY_SEQUENCE>
      <COLUMN_NAME>FOB</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>30</DISPLAY_SEQUENCE>
      <COLUMN_NAME>FREIGHT_TERMS</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>Family</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>HEADER_CREATED_BY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
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      <COLUMN_NAME>HEADER_CREATION_DATE</COLUMN_NAME>
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      <COLUMN_NAME>HEADER_LAST_UPDATE_DATE</COLUMN_NAME>
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      <COLUMN_NAME>HEADER_STATUS</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
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      <DISPLAY_SEQUENCE>4</DISPLAY_SEQUENCE>
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      <COLUMN_NAME>INVOICE_LINE</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
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     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>-17.0018</DISPLAY_SEQUENCE>
      <COLUMN_NAME>Inv.Items Description</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
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     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>LINE_CHARGES</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>LINE_CREATED_BY</COLUMN_NAME>
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      <COLUMN_NAME>LINE_CREATION_DATE</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>LINE_DAYS_LATE</COLUMN_NAME>
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      <COLUMN_NAME>LINE_DIF</COLUMN_NAME>
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      <COLUMN_NAME>LINE_DIFOT</COLUMN_NAME>
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      <COLUMN_NAME>LINE_DOT</COLUMN_NAME>
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      <COLUMN_NAME>LINE_LAST_UPDATED_BY</COLUMN_NAME>
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      <COLUMN_NAME>LINE_LAST_UPDATE_DATE</COLUMN_NAME>
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      <COLUMN_NAME>LINE_SET</COLUMN_NAME>
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      <COLUMN_NAME>LIST_PRICE</COLUMN_NAME>
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      <COLUMN_NAME>Line: DFF Context</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
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     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>ORIG_LINE_PROMISE_DATE</COLUMN_NAME>
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     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>ORIG_LINE_TOT_SHIPPED_QUANTITY</COLUMN_NAME>
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     </TEMPLATE_COLUMNS_ROW>
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     <TEMPLATE_COLUMNS_ROW>
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     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>PRICING_UOM</COLUMN_NAME>
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      <COLUMN_NAME>PROJECT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>PROMISE_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
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      <COLUMN_NAME>Product Cat</COLUMN_NAME>
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      <COLUMN_NAME>QUOTE_NUMBER</COLUMN_NAME>
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      <COLUMN_NAME>REQUEST_DATE</COLUMN_NAME>
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      <COLUMN_NAME>SHIPMENT_PRIORITY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>SHIPPABLE_FLAG</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
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     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>SHIPPING_INSTRUCTIONS</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>SHIPPING_METHOD</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>SHIP_SET</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>SHIP_TO_ACCOUNT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>16</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SHIP_TO_ADDRESS</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>17</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SHIP_TO_COUNTRY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>15</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SHIP_TO_CUSTOMER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>14</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SHIP_TO_CUSTOMER_NUMBER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>SHIP_TO_LOCATION</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>18</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SHIP_TO_TAX_REFERENCE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>SOURCE_DOCUMENT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>SOURCE_TYPE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>SPLIT_LINE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>SUBTOTAL</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>TASK</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>TAX</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>TAX_AMOUNT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>29</DISPLAY_SEQUENCE>
      <COLUMN_NAME>TAX_CODE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>TOTAL</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>TYPE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>UNIT_SELLING_PRICE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>UOM</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <COLUMN_NAME>WAREHOUSE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
    </TEMPLATE_COLUMNS>
    <TEMPLATE_PIVOT>
    </TEMPLATE_PIVOT>
    <TEMPLATE_SHARED_STRINGS>
    </TEMPLATE_SHARED_STRINGS>
    <TEMPLATE_PARAMETER_DEFAULTS>
     <TEMPLATE_PARAMETER_DEFAULTS_ROW>
      <PARAMETER_NAME>Category Set 1</PARAMETER_NAME>
     </TEMPLATE_PARAMETER_DEFAULTS_ROW>
     <TEMPLATE_PARAMETER_DEFAULTS_ROW>
      <PARAMETER_NAME>Category Set 2</PARAMETER_NAME>
     </TEMPLATE_PARAMETER_DEFAULTS_ROW>
     <TEMPLATE_PARAMETER_DEFAULTS_ROW>
      <PARAMETER_NAME>Intrastat Eligible Only</PARAMETER_NAME>
      <DEFAULT_VALUE>Y</DEFAULT_VALUE>
     </TEMPLATE_PARAMETER_DEFAULTS_ROW>
     <TEMPLATE_PARAMETER_DEFAULTS_ROW>
      <PARAMETER_NAME>Open only</PARAMETER_NAME>
     </TEMPLATE_PARAMETER_DEFAULTS_ROW>
     <TEMPLATE_PARAMETER_DEFAULTS_ROW>
      <PARAMETER_NAME>Operating Unit</PARAMETER_NAME>
      <DEFAULT_VALUE>Vision Operations</DEFAULT_VALUE>
     </TEMPLATE_PARAMETER_DEFAULTS_ROW>
     <TEMPLATE_PARAMETER_DEFAULTS_ROW>
      <PARAMETER_NAME>Shippable Flag</PARAMETER_NAME>
      <DEFAULT_VALUE>Y</DEFAULT_VALUE>
     </TEMPLATE_PARAMETER_DEFAULTS_ROW>
    </TEMPLATE_PARAMETER_DEFAULTS>
    <TEMPLATE_STYLES>
    </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_ROW>
      <PARAMETER_NAME>Account Number</PARAMETER_NAME>
     </PARAMETER_EXCLUSION_ROW>
     <PARAMETER_EXCLUSION_ROW>
      <PARAMETER_NAME>Bill To Country</PARAMETER_NAME>
     </PARAMETER_EXCLUSION_ROW>
     <PARAMETER_EXCLUSION_ROW>
      <PARAMETER_NAME>Cancelled Date From</PARAMETER_NAME>
     </PARAMETER_EXCLUSION_ROW>
     <PARAMETER_EXCLUSION_ROW>
      <PARAMETER_NAME>Cancelled Date To</PARAMETER_NAME>
     </PARAMETER_EXCLUSION_ROW>
     <PARAMETER_EXCLUSION_ROW>
      <PARAMETER_NAME>Category Set 1</PARAMETER_NAME>
     </PARAMETER_EXCLUSION_ROW>
     <PARAMETER_EXCLUSION_ROW>
      <PARAMETER_NAME>Category Set 2</PARAMETER_NAME>
     </PARAMETER_EXCLUSION_ROW>
     <PARAMETER_EXCLUSION_ROW>
      <PARAMETER_NAME>Creation Date From</PARAMETER_NAME>
     </PARAMETER_EXCLUSION_ROW>
     <PARAMETER_EXCLUSION_ROW>
      <PARAMETER_NAME>Creation Date To</PARAMETER_NAME>
     </PARAMETER_EXCLUSION_ROW>
     <PARAMETER_EXCLUSION_ROW>
      <PARAMETER_NAME>Customer Name</PARAMETER_NAME>
     </PARAMETER_EXCLUSION_ROW>
     <PARAMETER_EXCLUSION_ROW>
      <PARAMETER_NAME>DIFOT Eligible Only</PARAMETER_NAME>
     </PARAMETER_EXCLUSION_ROW>
     <PARAMETER_EXCLUSION_ROW>
      <PARAMETER_NAME>Item</PARAMETER_NAME>
     </PARAMETER_EXCLUSION_ROW>
     <PARAMETER_EXCLUSION_ROW>
      <PARAMETER_NAME>Line Category</PARAMETER_NAME>
     </PARAMETER_EXCLUSION_ROW>
     <PARAMETER_EXCLUSION_ROW>
      <PARAMETER_NAME>Line Creation Date From</PARAMETER_NAME>
     </PARAMETER_EXCLUSION_ROW>
     <PARAMETER_EXCLUSION_ROW>
      <PARAMETER_NAME>Line Creation Date To</PARAMETER_NAME>
     </PARAMETER_EXCLUSION_ROW>
     <PARAMETER_EXCLUSION_ROW>
      <PARAMETER_NAME>Line Status</PARAMETER_NAME>
     </PARAMETER_EXCLUSION_ROW>
     <PARAMETER_EXCLUSION_ROW>
      <PARAMETER_NAME>Line Type</PARAMETER_NAME>
     </PARAMETER_EXCLUSION_ROW>
     <PARAMETER_EXCLUSION_ROW>
      <PARAMETER_NAME>Open only</PARAMETER_NAME>
     </PARAMETER_EXCLUSION_ROW>
     <PARAMETER_EXCLUSION_ROW>
      <PARAMETER_NAME>Order Category</PARAMETER_NAME>
     </PARAMETER_EXCLUSION_ROW>
     <PARAMETER_EXCLUSION_ROW>
      <PARAMETER_NAME>Order Fully/Partially Shipped</PARAMETER_NAME>
     </PARAMETER_EXCLUSION_ROW>
     <PARAMETER_EXCLUSION_ROW>
      <PARAMETER_NAME>Order Number</PARAMETER_NAME>
     </PARAMETER_EXCLUSION_ROW>
     <PARAMETER_EXCLUSION_ROW>
      <PARAMETER_NAME>Order Status</PARAMETER_NAME>
     </PARAMETER_EXCLUSION_ROW>
     <PARAMETER_EXCLUSION_ROW>
      <PARAMETER_NAME>Order Type</PARAMETER_NAME>
     </PARAMETER_EXCLUSION_ROW>
     <PARAMETER_EXCLUSION_ROW>
      <PARAMETER_NAME>Project</PARAMETER_NAME>
     </PARAMETER_EXCLUSION_ROW>
     <PARAMETER_EXCLUSION_ROW>
      <PARAMETER_NAME>Quote Number</PARAMETER_NAME>
     </PARAMETER_EXCLUSION_ROW>
     <PARAMETER_EXCLUSION_ROW>
      <PARAMETER_NAME>Request Date From</PARAMETER_NAME>
     </PARAMETER_EXCLUSION_ROW>
     <PARAMETER_EXCLUSION_ROW>
      <PARAMETER_NAME>Request Date To</PARAMETER_NAME>
     </PARAMETER_EXCLUSION_ROW>
     <PARAMETER_EXCLUSION_ROW>
      <PARAMETER_NAME>Schedule Ship Date From</PARAMETER_NAME>
     </PARAMETER_EXCLUSION_ROW>
     <PARAMETER_EXCLUSION_ROW>
      <PARAMETER_NAME>Schedule Ship Date To</PARAMETER_NAME>
     </PARAMETER_EXCLUSION_ROW>
     <PARAMETER_EXCLUSION_ROW>
      <PARAMETER_NAME>Ship From Warehouse</PARAMETER_NAME>
     </PARAMETER_EXCLUSION_ROW>
     <PARAMETER_EXCLUSION_ROW>
      <PARAMETER_NAME>Task</PARAMETER_NAME>
     </PARAMETER_EXCLUSION_ROW>
     <PARAMETER_EXCLUSION_ROW>
      <PARAMETER_NAME>Type</PARAMETER_NAME>
     </PARAMETER_EXCLUSION_ROW>
    </PARAMETER_EXCLUSION>
   </TEMPLATES_ROW>
  </TEMPLATES>
  <DEFAULT_TEMPLATES>
   <DEFAULT_TEMPLATES_ROW>
    <TEMPLATE_NAME>Default</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>
