<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>
<REPORTS>
<!-- loader xml for Enginatics Blitz Report: DIS Worksheet Execution History -->
 <REPORTS_ROW>
  <GUID>720286C6435B0A37E0530100007F333F</GUID><ENABLED>Y</ENABLED>
  <SQL_TEXT>select distinct
eqs.qs_id id,
xxen_util.dis_user_name(eqs.qs_created_by) user_name,
eqs.qs_doc_name workbook,
ed.doc_developer_key workbook_identifier,
eqs.qs_doc_details sheet,
eqs.qs_doc_owner owner,
xxen_util.client_time(eqs.qs_created_date) start_date,
xxen_util.time(eqs.seconds) time,
eqs.seconds,
eqs.qs_num_rows row_count,
&amp;object_columns
length(eqs.qs_object_use_key)-length(translate(eqs.qs_object_use_key,&apos;x.&apos;,&apos;x&apos;))+1 folder_count,
eqs.qs_object_use_key object_use_key,
eqs.qs_doc_name||&apos;: &apos;||eqs.qs_doc_details||&apos; (&apos;||eqs.qs_doc_owner_||&apos;)&apos; workbook_sheet,
eqs.qs_created_by created_by
from
(
select
trim(regexp_substr(eqs.qs_object_use_key,&apos;[^\.]+&apos;,1,rowgen.column_value)) obj_id,
greatest(nvl(eqs.qs_act_cpu_time,0),nvl(eqs.qs_act_elap_time,0)) seconds,
upper(eqs.qs_doc_owner) qs_doc_owner_,
eqs.*
from
&amp;restrict_to_latest_workbook1
&amp;eul.eul5_qpp_stats eqs
&amp;restrict_to_latest_workbook2
,table(xxen_util.rowgen(regexp_count(eqs.qs_object_use_key,&apos;\.&apos;)+1)) rowgen
where
1=1
) eqs,
&amp;eul.eul5_objs eo,
&amp;eul.eul5_documents ed
where
2=2 and
translate(eqs.obj_id,&apos;x0123456789&apos;,&apos;x&apos;) is null and
eqs.obj_id=eo.obj_id(+) and
eqs.qs_doc_name=ed.doc_name(+) and
eqs.qs_doc_owner_=xxen_util.dis_user_name(ed.doc_eu_id(+),:eul,&apos;N&apos;)
order by
eqs.qs_id desc</SQL_TEXT>
  <REPORT_TRANSLATIONS>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>AR</LANGUAGE>
    <REPORT_NAME>DIS Worksheet Execution History</REPORT_NAME>
    <DESCRIPTION>إحصائيات الوصول إلى ورقة عمل Discoverer من الجدول eul5_qpp_stats ، بما في ذلك كائنات المجلد المستخدمة.
تقوم المعلمة &quot;إظهار تفاصيل المجلد&quot; بالتبديل بين عرض التجميع وعرض القائمة لكائنات المجلد المستخدمة.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>D</LANGUAGE>
    <REPORT_NAME>DIS Worksheet Execution History</REPORT_NAME>
    <DESCRIPTION>Discoverer-Arbeitsblatt Zugriffsstatistiken aus der Tabelle eul5_qpp_stats, einschließlich verwendeter Ordnerobjekte.
Der Parameter &apos;Show Folder Details&apos; schaltet zwischen Aggregat- und Listenansicht der verwendeten Ordnerobjekte um.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>E</LANGUAGE>
    <REPORT_NAME>DIS Worksheet Execution History</REPORT_NAME>
    <DESCRIPTION>La hoja de trabajo de Discoverer accede a las estadísticas de la tabla eul5_qpp_stats, incluyendo los objetos de carpeta utilizados.
El parámetro &quot;Mostrar detalles de la carpeta&quot; cambia entre la vista agregada y la vista de lista de los objetos de carpeta utilizados.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>F</LANGUAGE>
    <REPORT_NAME>DIS Worksheet Execution History</REPORT_NAME>
    <DESCRIPTION>Feuille de travail Discoverer : statistiques d&apos;accès à partir du tableau eul5_qpp_stats, y compris les objets de dossier utilisés.
Le paramètre &quot;Show Folder Details&quot; permet de passer d&apos;une vue globale à une vue de liste des objets de dossier utilisés.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>I</LANGUAGE>
    <REPORT_NAME>DIS Worksheet Execution History</REPORT_NAME>
    <DESCRIPTION>Le statistiche di accesso al foglio di lavoro Discoverer dalla tabella eul5_qpp_stats, inclusi gli oggetti cartella usati.
Il parametro &apos;Show Folder Details&apos; commuta tra la vista aggregata e la vista elenco degli oggetti cartella usati.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>JA</LANGUAGE>
    <REPORT_NAME>DIS Worksheet Execution History</REPORT_NAME>
    <DESCRIPTION>使用されているフォルダ オブジェクトを含む、テーブル eul5_qpp_stats からのディスカバーラー ワークシート アクセス統計。
パラメータ &apos;フォルダの詳細を表示&apos; は、使用されたフォルダ オブジェクトの集計表示と一覧表示を切り替えます。</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>KO</LANGUAGE>
    <REPORT_NAME>DIS Worksheet Execution History</REPORT_NAME>
    <DESCRIPTION>사용 된 폴더 객체를 포함하여 테이블 eul5_qpp_stats의 Discoverer 워크 시트 액세스 통계
&apos;폴더 세부 정보 표시&apos;매개 변수는 사용 된 폴더 개체의 집계보기와 목록보기 사이를 전환합니다.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>PTB</LANGUAGE>
    <REPORT_NAME>DIS Worksheet Execution History</REPORT_NAME>
    <DESCRIPTION>Estatísticas de acesso à folha de trabalho do Discoverer da tabela eul5_qpp_stats, incluindo objetos de pasta utilizados.
O parâmetro &apos;Mostrar detalhes da pasta&apos; alterna entre o agregado e a visualização de lista de objetos de pasta usados.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>RU</LANGUAGE>
    <REPORT_NAME>DIS Worksheet Execution History</REPORT_NAME>
    <DESCRIPTION>Статистика доступа к рабочим листовым таблицам из таблицы eul5_qpp_stats, включая используемые объекты папок.
Параметр &apos;Показывать сведения о папках&apos; переключается между агрегатным представлением и представлением списка использованных объектов папок.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>S</LANGUAGE>
    <REPORT_NAME>DIS Worksheet Execution History</REPORT_NAME>
    <DESCRIPTION>Discoverer-kalkylbladets åtkomststatistik från tabellen eul5_qpp_stats, inklusive mappobjekt som används.
Parametern &apos;Visa mappdetaljer&apos; växlar mellan sammanställnings- och listvy av använda mappobjekt.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>TR</LANGUAGE>
    <REPORT_NAME>DIS Worksheet Execution History</REPORT_NAME>
    <DESCRIPTION>Discoverer çalışma sayfası erişim istatistikleri, kullanılan klasör nesneleri dahil, eul5_qpp_stats tablosundan.
&apos;Klasör Ayrıntılarını Göster&apos; parametresi, kullanılan klasör nesnelerinin toplu ve liste görünümü arasında geçiş yapar.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>US</LANGUAGE>
    <REPORT_NAME>DIS Worksheet Execution History</REPORT_NAME>
    <DESCRIPTION>Discoverer worksheet access statistics from table eul5_qpp_stats, including folder objects used.
Parameter &apos;Show Folder Details&apos; switches between aggregate and list view of used folder objects.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>ZHS</LANGUAGE>
    <REPORT_NAME>DIS Worksheet Execution History</REPORT_NAME>
    <DESCRIPTION>发现者工作表从表eul5_qpp_stats中访问统计数据，包括使用的文件夹对象。
参数 &quot;Show Folder Details &quot;可以在使用过的文件夹对象的汇总和列表视图之间切换。</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
  </REPORT_TRANSLATIONS>
  <CATEGORY_ASSIGNMENTS>
   <CATEGORY_ASSIGNMENTS_ROW>
    <CATEGORY>Enginatics</CATEGORY>
   </CATEGORY_ASSIGNMENTS_ROW>
  </CATEGORY_ASSIGNMENTS>
  <ANCHORS>
   <ANCHORS_ROW>
    <ANCHOR>&amp;eul</ANCHOR>
   </ANCHORS_ROW>
   <ANCHORS_ROW>
    <ANCHOR>&amp;object_columns</ANCHOR>
   </ANCHORS_ROW>
   <ANCHORS_ROW>
    <ANCHOR>&amp;restrict_to_latest_workbook1</ANCHOR>
   </ANCHORS_ROW>
   <ANCHORS_ROW>
    <ANCHOR>&amp;restrict_to_latest_workbook2</ANCHOR>
   </ANCHORS_ROW>
   <ANCHORS_ROW>
    <ANCHOR>1=1</ANCHOR>
   </ANCHORS_ROW>
   <ANCHORS_ROW>
    <ANCHOR>2=2</ANCHOR>
   </ANCHORS_ROW>
   <ANCHORS_ROW>
    <ANCHOR>:eul</ANCHOR>
   </ANCHORS_ROW>
  </ANCHORS>
  <PARAMETERS>
   <PARAMETERS_ROW>
    <SORT_ORDER>1</SORT_ORDER>
    <DISPLAY_SEQUENCE>10</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>eqs.qs_doc_name=:workbook</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>DIS Workbook</LOV_NAME>
    <LOV_GUID>8E2FF36EDF2079D2E0530100007F1FF2</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select
ed.doc_name value,
ed.doc_description||&apos; (&apos;||ed.doc_developer_key||&apos;)&apos; description
from
eul_us.eul5_documents ed
order by
ed.doc_name</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>F</LANGUAGE>
      <PARAMETER_NAME>Cahier d&apos;exercices</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Workbook</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>2</SORT_ORDER>
    <DISPLAY_SEQUENCE>20</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>eqs.qs_created_by in (select &apos;#&apos;||fu.user_id from fnd_user fu where fu.user_name=:user_name)</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>FND User Name</LOV_NAME>
    <LOV_GUID>8E2FF36EDE8479D2E0530100007F1FF2</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <FILTER_BEFORE_DISPLAY_DSP>Y</FILTER_BEFORE_DISPLAY_DSP>
    <LOV_QUERY_DSP>select
fu.user_name value,
trim(coalesce(
trim(papf.first_name||&apos; &apos;||papf.last_name),
fu.description,
fu.email_address,
papf.email_address
)||fu.inactive) description
from
(select case when sysdate between fu.start_date and nvl(fu.end_date,sysdate) then null else &apos; (inactive)&apos; end inactive, fu.* from fnd_user fu) fu,
(select papf.* from per_all_people_f papf where sysdate between papf.effective_start_date and papf.effective_end_date) papf,
(
select distinct
furg.user_id,
count(*) over (partition by furg.user_id) resp_count,
max(fr.responsibility_key) over (partition by furg.user_id) max_responsibility_key
from
fnd_responsibility fr,
fnd_user_resp_groups_direct furg
where
fr.responsibility_id=furg.responsibility_id and
fr.application_id=furg.responsibility_application_id
) furg
where
fu.employee_id=papf.person_id(+) and
fu.user_id=furg.user_id(+) and
not (furg.resp_count=1 and furg.max_responsibility_key=&apos;IRC_EXT_CANDIDATE&apos;)
order by
fu.inactive desc,
fu.user_name</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>F</LANGUAGE>
      <PARAMETER_NAME>Soumis par l&apos;utilisateur</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Submitted by User</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>3</SORT_ORDER>
    <DISPLAY_SEQUENCE>30</DISPLAY_SEQUENCE>
    <ANCHOR>2=2</ANCHOR>
    <SQL_TEXT>eqs.qs_id in
(
select
eqs0.qs_id
from
(
select
eqs.qs_id,
trim(regexp_substr(eqs.qs_object_use_key,&apos;[^\.]+&apos;,1,rowgen.column_value)) obj_id
from
eul_us.eul5_qpp_stats eqs,
table(xxen_util.rowgen(regexp_count(eqs.qs_object_use_key,&apos;\.&apos;)+1)) rowgen
) eqs0
where
eqs0.obj_id in (
select
ebol.bol_obj_id
from
eul_us.eul5_bas eb,
eul_us.eul5_ba_obj_links ebol
where
eb.ba_name=:business_area and
eb.ba_id=ebol.bol_ba_id)
)</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>DIS Business Area</LOV_NAME>
    <LOV_GUID>8E2FF36EDF1179D2E0530100007F1FF2</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select
eb.ba_name value,
eb.ba_description description
from
eul_us.eul5_bas eb
order by
eb.ba_name</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>F</LANGUAGE>
      <PARAMETER_NAME>Secteur d&apos;activité</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Business Area</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>4</SORT_ORDER>
    <DISPLAY_SEQUENCE>40</DISPLAY_SEQUENCE>
    <ANCHOR>2=2</ANCHOR>
    <SQL_TEXT>eqs.qs_id in
(
select
eqs0.qs_id
from
(
select
eqs.qs_id,
trim(regexp_substr(eqs.qs_object_use_key,&apos;[^\.]+&apos;,1,rowgen.column_value)) obj_id
from
eul_us.eul5_qpp_stats eqs,
table(xxen_util.rowgen(regexp_count(eqs.qs_object_use_key,&apos;\.&apos;)+1)) rowgen
) eqs0
where
eqs0.obj_id in (
select
eo.obj_id
from
eul_us.eul5_objs eo
where
eo.obj_name=:folder
)
)</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>DIS Folder</LOV_NAME>
    <LOV_GUID>8E2FF36EDEE079D2E0530100007F1FF2</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select
eo.obj_name value,
nvl(eo.sobj_ext_table,eo.obj_developer_key)||nvl2(eo.obj_description,&apos; (&apos;||eo.obj_description||&apos;)&apos;,null) description
from
eul_us.eul5_objs eo
order by
eo.obj_name</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>F</LANGUAGE>
      <PARAMETER_NAME>Dossier</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Folder</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>5</SORT_ORDER>
    <DISPLAY_SEQUENCE>50</DISPLAY_SEQUENCE>
    <ANCHOR>2=2</ANCHOR>
    <SQL_TEXT>eqs.qs_id in
(
select
eqs0.qs_id
from
(
select
eqs.qs_id,
trim(regexp_substr(eqs.qs_object_use_key,&apos;[^\.]+&apos;,1,rowgen.column_value)) obj_id
from
eul_us.eul5_qpp_stats eqs,
table(xxen_util.rowgen(regexp_count(eqs.qs_object_use_key,&apos;\.&apos;)+1)) rowgen
) eqs0
where
eqs0.obj_id in (
select
eo.obj_id
from
eul_us.eul5_objs eo
where
eo.sobj_ext_table=:view_name
)
)</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>DIS View Name</LOV_NAME>
    <LOV_GUID>8E2FF36EDF3179D2E0530100007F1FF2</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select distinct
eo.sobj_ext_table value,
max(eo.obj_name) over (partition by eo.sobj_ext_table) description
from
eul_us.eul5_objs eo
where
eo.sobj_ext_table is not null
order by
eo.sobj_ext_table</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>F</LANGUAGE>
      <PARAMETER_NAME>Nom de vue</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>View Name</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>6</SORT_ORDER>
    <DISPLAY_SEQUENCE>60</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>eqs.qs_object_use_key=:object_use_key</SQL_TEXT>
    <PARAMETER_TYPE_DSP>Char</PARAMETER_TYPE_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Object Use Key</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>7</SORT_ORDER>
    <DISPLAY_SEQUENCE>70</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>eqs.qs_object_use_key like &apos;%&apos;||:object_id||&apos;%&apos;</SQL_TEXT>
    <PARAMETER_TYPE_DSP>Number</PARAMETER_TYPE_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>F</LANGUAGE>
      <PARAMETER_NAME>Id de l&apos;objet</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Object Id</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>8</SORT_ORDER>
    <DISPLAY_SEQUENCE>80</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>eqs.qs_created_date&gt;sysdate-:days</SQL_TEXT>
    <PARAMETER_TYPE_DSP>Number</PARAMETER_TYPE_DSP>
    <DEFAULT_VALUE>select nvl(fnd_profile.value(&apos;XXEN_REPORT_DISCOVERER_IMPORT_LOV_ACCESS_HISTORY_DAYS&apos;),90) from dual where
:$flex$.start_date_from is null</DEFAULT_VALUE>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>F</LANGUAGE>
      <PARAMETER_NAME>Accès en quelques jours</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Accessed within Days</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>9</SORT_ORDER>
    <DISPLAY_SEQUENCE>90</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>eqs.qs_created_date&gt;=:start_date_from</SQL_TEXT>
    <PARAMETER_TYPE_DSP>Date</PARAMETER_TYPE_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>F</LANGUAGE>
      <PARAMETER_NAME>Date de début de</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Start Date From</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>10</SORT_ORDER>
    <DISPLAY_SEQUENCE>100</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>eqs.qs_created_date&lt;:start_date_to+1</SQL_TEXT>
    <PARAMETER_TYPE_DSP>Date</PARAMETER_TYPE_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>F</LANGUAGE>
      <PARAMETER_NAME>Date de début au</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Start Date To</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>11</SORT_ORDER>
    <DISPLAY_SEQUENCE>110</DISPLAY_SEQUENCE>
    <ANCHOR>&amp;restrict_to_latest_workbook1</ANCHOR>
    <SQL_TEXT>(select x.* from (select max(eqs.qs_object_use_key) keep (dense_rank last order by eqs.qs_id) over (partition by eqs.qs_doc_name,eqs.qs_doc_details,upper(eqs.qs_doc_owner)) max_object_use_key, eqs.* from</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>Latest Workbook only</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>12</SORT_ORDER>
    <ANCHOR>&amp;restrict_to_latest_workbook2</ANCHOR>
    <SQL_TEXT>) x where x.qs_object_use_key=x.max_object_use_key) eqs</SQL_TEXT>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Latest Workbook only</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>13</SORT_ORDER>
    <DISPLAY_SEQUENCE>120</DISPLAY_SEQUENCE>
    <ANCHOR>&amp;object_columns</ANCHOR>
    <SQL_TEXT>eo.obj_name folder,
eo.obj_developer_key folder_identifier,
eo.sobj_ext_table object_name,
eo.obj_description folder_description,
xxen_util.dis_folder_type(eo.obj_type) folder_type,
eqs.obj_id,</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>N</DEFAULT_VALUE>
    <REQUIRED>Y</REQUIRED>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>F</LANGUAGE>
      <PARAMETER_NAME>Afficher les détails du dossier</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Show Folder Details</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>14</SORT_ORDER>
    <ANCHOR>&amp;object_columns</ANCHOR>
    <SQL_TEXT>listagg(eo.obj_name,&apos;, &apos;) within group (order by eo.obj_name) over (partition by eqs.qs_id) folders,
listagg(eo.obj_developer_key,&apos;, &apos;) within group (order by eo.obj_developer_key) over (partition by eqs.qs_id) folder_identifiers,
listagg(nvl(eo.sobj_ext_table,xxen_util.dis_folder_type(eo.obj_type)),&apos;, &apos;) within group (order by eo.sobj_ext_table) over (partition by eqs.qs_id) views_or_tables,
listagg(eo.obj_description,&apos;, &apos;) within group (order by eo.obj_description) over (partition by eqs.qs_id) folder_descriptions,
listagg(eo.obj_name||&apos; (&apos;||nvl(eo.sobj_ext_table,xxen_util.dis_folder_type(eo.obj_type))||&apos;)&apos;,&apos;, &apos;) within group (order by eo.obj_name) over (partition by eqs.qs_id) folders_views_or_tables,</SQL_TEXT>
    <MATCHING_VALUE>N</MATCHING_VALUE>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>F</LANGUAGE>
      <PARAMETER_NAME>Afficher les détails du dossier</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Show Folder Details</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>15</SORT_ORDER>
    <DISPLAY_SEQUENCE>130</DISPLAY_SEQUENCE>
    <ANCHOR>&amp;eul</ANCHOR>
    <SQL_TEXT>&lt;parameter_value&gt;</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>DIS End User Layer</LOV_NAME>
    <LOV_GUID>8E2FF36EDF3879D2E0530100007F1FF2</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select
lower(do.owner) value,
do.created description
from
dba_objects do
where
do.object_type=&apos;TABLE&apos; and
do.object_name=&apos;EUL5_VERSIONS&apos;
order by
do.created desc</LOV_QUERY_DSP>
    <DEFAULT_VALUE>xxen_util.dis_default_eul</DEFAULT_VALUE>
    <REQUIRED>Y</REQUIRED>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>F</LANGUAGE>
      <PARAMETER_NAME>Couche de l&apos;utilisateur final</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>End User Layer</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>16</SORT_ORDER>
    <ANCHOR>:eul</ANCHOR>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>End User Layer</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
  </PARAMETERS>
  <TEMPLATES>
   <TEMPLATES_ROW>
    <GUID>F780E4A6AEF5A37DA9C644761909C298</GUID>
    <TEMPLATE_NAME>Pivot analysis</TEMPLATE_NAME>
    <OWNER>ENGINATICS</OWNER>
    <TEMPLATE_COLUMNS>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>19</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CREATED_BY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>11</DISPLAY_SEQUENCE>
      <COLUMN_NAME>FOLDERS</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>15</DISPLAY_SEQUENCE>
      <COLUMN_NAME>FOLDERS_VIEWS_OR_TABLES</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>16</DISPLAY_SEQUENCE>
      <COLUMN_NAME>FOLDER_COUNT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>14</DISPLAY_SEQUENCE>
      <COLUMN_NAME>FOLDER_DESCRIPTIONS</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>12</DISPLAY_SEQUENCE>
      <COLUMN_NAME>FOLDER_IDENTIFIERS</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>1</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ID</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>17</DISPLAY_SEQUENCE>
      <COLUMN_NAME>OBJECT_USE_KEY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>6</DISPLAY_SEQUENCE>
      <COLUMN_NAME>OWNER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>10</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ROW_COUNT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>9</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SECONDS</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>5</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SHEET</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>7</DISPLAY_SEQUENCE>
      <COLUMN_NAME>START_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>8</DISPLAY_SEQUENCE>
      <COLUMN_NAME>TIME</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>2</DISPLAY_SEQUENCE>
      <COLUMN_NAME>USER_NAME</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>13</DISPLAY_SEQUENCE>
      <COLUMN_NAME>VIEWS_OR_TABLES</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>3</DISPLAY_SEQUENCE>
      <COLUMN_NAME>WORKBOOK</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>4</DISPLAY_SEQUENCE>
      <COLUMN_NAME>WORKBOOK_IDENTIFIER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>18</DISPLAY_SEQUENCE>
      <COLUMN_NAME>WORKBOOK_SHEET</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
    </TEMPLATE_COLUMNS>
    <TEMPLATE_PIVOT>
    </TEMPLATE_PIVOT>
    <FILE_NAME>DIS Worksheet Execution History - Pivot analysis 30-May-2025 204016.xlsx</FILE_NAME>
    <FILE_LANGUAGE>US</FILE_LANGUAGE>
    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WScBq1Ro93B7JjAmv+0my+D6dG4PGmPevgxtXqy0/Xkt3m4WEf9Zu/igseN5rcrGtgmbmsVLpdmr9NRNn24nb2dLbMRVkE4bWD5sQx4Zzez1dVqPcsGWAaxvaZxqd6i/u9wd6dtZ7BN6NfdWFytsuPJb/+5m/0WrJZh8/xlg1ZntHr9IRtOb95N1tvwML6CZh+b3Ak3gUXWvJldzTawdc4FnziOhnFfUts9fZ/X2CIO2u2//pvd7jkU8+xxNlpjJ4Tbkg130+lsg7m0nCw+bOYbu/v3hkPsXdNfZ1uYzu0ka5wMPSOIzXK2fgu3djDDUG22m9ghMIucqmfr1e4u687oF+FNyeyNXPDn7DnuaP12Bns9u1usPtChxz/hgy2ywewORt67icsf4W48xhaonqtxd7eYT8Xzt4+EV38yTPstx92ss8IIDHhW5K4G/fbjIQMfDBdX3jUCn6Ln03p/N4fHyBm9XU+mW/97LjPsQdfY580wR36n1T/lA3A5ZU1seNnpYvUua13Ng+v1T0fPs+5usZ0/PpljhBg+wDWIjo/M/ccwqx9gnrJTzMI1Dh1N3meN9fRm/hZuzO4WEc+H7OjSHSQxu+aB8BLf4un95zr/JTv5H5Pbu/91jOuvt9xjoxOFk/cNH0ae/jfMgPDd45Px2bCR9fGK36wWeBO96XR3N1lOP3ijvVhtxwhJJovFeLnazhFXyeseL7DpjBFKeofjydd8dLzC7azmcx+38QYQ/c2vl9l2lXUQofK/vTtOwB1C3A/886fdaot4Bp+vMaqRZ9JjfzJbzK7x4zACnD2v6Woc2QXYxAzH2eewmRO8kQ+f6enuPcbF7F3W3CHYgQ+eDefb6AIyg4gb3swQJWFayth411L28HTwGSbG8Rw2M2vdmsXmj95ZN2tiY0Yo1F5Od7DEV3bCxF9i6eSEv7eer66yp4+feT9kDFzmf4F30Z8jiqDjrmZ4zHT0VxsFPJyvFvIytDnTp/gmQAUsw+PseHd1DQsHU67/pQzVOwQksFmTu5vYVN1scMopvD0a0HAUrBmAjwI/aHntPer8ajpe8A1txhu19rwDzjpZC3vpOzF+JRaDJhovB7arteQch7vDX0zPxP5i8gGD01+vrrGlbuIzrX3S1Ea7ubq9nW9oXfDyFWiTmEyP9QzCHRxPMKEQHWmjrUZy0PLn1ekIR9yusqdf8HbezLcTBbTAUC4nCJTVt1GThhnRgzvqrkZjw8KXcT6bLLY3U0T02cvZYgFHaKN/wtlaojMKrjweXAYUhrvZiC0iu+HYXSo4Kmu83gBIQ2xF767sdcK100Ee9szJeo4lXvJcA2xYS/j1/dlyhl1HJr8arsj7Px318QphZ7BNm63oMezWNQf/ajdFFBGdiflUHuBn3jH+3AFxMAiALCPcttzvB66iV7MJ9vfUbQz2MiZ4QjqAO8wpeIvG9llHpXgX+VpILIE+LFnpPk/j2dhhu8VqusYU5PzwnY1l82a3XsIGmjmLmNncmb/x4Ho87F8zjC7M3huMEqwspqF15QrD2DjuYlPHNrGeY5gZrWXwOeioLTfwKfh6ub3GZ6Gy31h9DSzX66VMbWx88t/uDFhhsC12ELPCfZ1zam6eZ3tuqtZaAx4sPAW2E1hqWEXjTha/5hiXmr4LWNbGdLreYQwSA8WPH7eXjzG2Bc81826l127Cm4TJQ3yOO8p9GTgCu8CVKfqPGDaEKbK5w2/AkoIpvMOShEXwfT/x2sTxGcoyNP5I9vK812kNgUCMT4EVtC/OvDPlhcPLxeXlPZ0C6VhO+fL53umucPeAnxN97+VmzdgN2GXZGbg0ORIJx4vTk+Ydc2HcwFx7C0PsG2w9k82STLxg7P7Kcj/7gu+RwCvcp7eIgPriKXZqD1/zvNX8MRw1rnPcLk0zEOk13JxL+GMyXDtsaHSzIpuAfrvD7e6KQx1EP0et91h4dKL1IZvPUlPYRBrpa4mhrXUtjpY1bMqk+JMYoYMx0SnLh0NUkFXiKmhXVDs5w9kWTg4NZRhNGd/A2dJb/8nlmO+33JmUjQ+dG+0shu/ABAEmBgiPuNzCA/hN7WSYr9idEDurvyNWj9GeNXvmuWJL++cRNpL55td8eHBxyWbM1lx8H6ITJqPDfY6wbvP5CAgl1qZkkzKZxRm8iis1udOTzd5cvjv+sHotixue5RWsb+xuuXiu6XjOp9EQeUcHzr7oIx1/+TCF7GV5KLwZA6vercNVvcd21mp0xSLraKf5YUq8mEYyHgeocDZmGIeNF1jXPpoQfU3t5Wa7lqxexsTL3j/VvnjRGo66rYuR/3Pp22v2ush6NNsAlzq9xoV/ol5JefwmDrjvWUff7UUTThg8GmasIo9CmKCzKvX46Zv3Lwj5YmJiRc4UhoPs2tUOryPqLtu9+mtvFTGs3WSn2B5W75DvHEQiL2ucZL3EJiRnmoR85XZsLrfsRLBisMoQC+64SA7Qcz4a/gq3goExNpLVneO4R54oEVf6D8fBFierxKr6hjfyzsSqrZjXHHInLwJP/hY6QHSKLStfvmabVrFSbHj1bLO2pL+eC1jj+HkSYWkbkxsXoFkYOO6NjNiJfSCauJtN6Z8kIIbRbHIr2JyO3SIO7bjd5LAB5lrhduPhrZmNV3i9G5XzlccOthoEDnYVVWxdKWgvdFJg5sRzz1wDFXdGBzP4mXPlfGFLUDn1ucBT8RP0JFabLWISBOkqCSe2KQVPOhsqMjCvAVPdyE+mdlAg24AztZOzhOdEj4xbD/FmvsEJka50kG/nir9t44bfT2d36mL7TQ0zDRdqbNV8DeNApDNBAYGdQJYL8es6A7i1gVsW3yEYlNYDPPMQEymSya+ARpaS+AQGWHATSlbQAEHy6g4Zx5Z+hhYmMVFmgZYTKAX269cf8Lp9zx02z1kI5WaMwPEVF2N00JqEbfT7LUN6cjdQe0fWNkVQdO0OnsLiTifRqRJYv8griln1IMaCN24cYYYYnOswIuH7FucWlqWnpx+D43/tFh+yp2DVFCLIgUPcURj1lr5LbO8n6LxELICcE5KXJ4ic38LYNbYgZLzepRHS9NZfFbK9vs2mBEMTe8w3KUzT/4LxPJD3p0+/+OaLb7MdTEiQUmhtZFKudohthhfji/aJv4ORaEBompytMtef9mQISLGAJKhpH3lPZamFDHwWD7O4xAp+icmZO7vgRGDWra/EXKVCbdd3N06xhXAT1kXlMST0e+Jsf5oBlLJJKi1Utn+Ka5Md4XY7K5VK+NzBw2HKQNyBw/ZZGgMwIWHuDKhrAu8nQocr8xnNhbIjN7JxgX8dxIodQOTvz4nJ1WL9fvxujIWE0GUTyXVge3AhxlR0ELra4UTozEHKydyQLLEpNieL6U5x7YD9bqc3tAICzKTA29NXJl5VUAPDSdoD5UF6U0zcQCBgcn2BMAwCoZDv7uQOPAAfYofNfv0BrzMSTf9EdJtAnGyoLwEMY5EBRogHcu7c4a2YNEPZHLWTzQkc49OTznNZIHIxvCQBKxaGwLgj8wzXzvj+qzd6vvnPDBOtQ0FMSTXF4tnXfcBZ0BLhRPTwxlRiVLbjW7r4wuj6Fv8G28OfwXjJaq04zj0gT8yZiqkPmIwYnOA92uuMYvYhnjJ+++WzMcib3zx99tQPgMSCIjJewxoK6qq9aJ2BroZTVBwP5t78SgaAyxz/sZYsibPkDo39kcdMsMG7wRP+9+wtIsock5PUdDTVJJnJM3hd0Twfpxec9Tfz6536fqwsUtQVz42X2atLnl/HoYIV0rOZIBpAkqR05dPdMymfWD7CwIXRpcU0PwbN5FIY54BMc4VBv8pOsZ1i1HNQpJjulySFk0kQ9x22KcxIVQWxfGob0zQnd5MpE1YGYQ7d4RyeUn6xYavW8IfNSFoigP/ObLjtbutOli72GwoQKrcCYpLecx+Zb+F1SZxDZs8CIx2L4HqdUb67puNYkBXwuubL8ZsdLzsGBWj+Vs3JSMoeqZpWn4vASdgweR5FIPaeSwK8S+zfey3ZmbrJln7DZIkTeyExQ+5ko645ELyfqSbu+Ekza5Q3FvBPWea23jCxoQDEE/TI5nlS0dXBABdcxdTjNelEAoOZgXpeeBx6FC0iW+CnCjwRRCUy6JhYzE+OZth/iUh4V2Hyx9rOxD1gz8dRb3TynQDWZHcdOKaOqdDZpNgwMZdwPr++QXnCagXrj/8gj8mKgZg3UJ5xgV24Q1yd02li/oSzEaeXCvhIPuNCR6mRUZ1uCc3LBHYMwSZ7MVdTMTRySeKQ7GCcvUfcLr98+vRbH1V2wMs4QILMvEv3Apa0QJ4hvA1OF3oQWQMuw9Zg/nGU4KJ/2h6N1aXGKcwkjG0S7ufpgFNjB2oqoP0MlLyMcxGp0zrgW5HaUDuTFce7cR9VgVOMIgcOIJlYn5O4w0yrNh6Ys3SDy/KuNjV3AOVC4z8wWeANbpiSjCFAkXQW3S9voO7AmlqCHrwYzwGGI8UJbhR4oJF9IHdJnHjP5CfLHjVt+8CvHp01zlr+wgjhnGDDbWHTEFqehlXCqIO2BA4CAid4xQIJX0dIBDFcJTJMdsesGiXCsfPlDkFM1r69W6M4oMAbSqTOXPCzxeIkMgFguCsWtku6UUwd+bE0T8XmB1J8xSznhAXcLz3tGC2gmEBSAXsh2j563gAVgHCJIteIEzlfb2+uJh8SXCj/AiGkSqOZQ//74qrN9vAxCMl4uhACiuJvPgJzvNuAGIc4GGsFJU2cCySghskcl4miU/25x/zy2Jslx22HifsTyb0Mv0ez9wa2jiBdRYYny6cKMUwyvmbQpAKl5MuNZKoN5mJ97K6Z+F7quCyPX4EMlWRW9I4cWVzuNcPp4l5yv7mM8pIrmN5ynld32HQoL2W86fgbLjsjbVTTWdZygIOFQBnqOnrDdpCfldi8VrgX8XIapak966UYjm+ci45JKex2WHRFb4/5U73uHEUMCAMFekuRYjTHzuOAR3xoVPxsyT2rcow04/zzDAxo1GeCmgfgm6WGMfp5DjZoYEMDklF87oUUozK4/g0AMU4tpzow9sta25slNhDEwqW8WcmmhKCcyU/7ps1FSQVdGJ76ZVj0I2VPzqOGwOVl0F4zoO3PViToqZ9Sz9K/QbFzpuo5A2b58FjxTl5/UP8V7jBPE+ZwHWZInjPGOxkA/MHQHwoP6zc3xH6MCExnCmM8N1UOILQwgLcsOfLDOX/b07iYxrPLsM/zHVhkOUii7HpqWQwsWZjJVJ2X466M28sGuxhbjSxOPzri0AnQLhBBZJWCd8GrIikZY104NCOZZgHTt2zrrCIm1Ri5xnGdJErUNyqkNvJc+hYO9pXyQHV1z6Fz6hRl+1gRmnAX2YaLeb3I8IYxY5hFIlkJbhntHsNHwIg0u6a0u4g0nCBAxTVXOIIEg7eMcy0nMVj8HmkJWPN/qEqQZFKa9Jq9YM3AEdGvPDnkDg88kuQhmqX3iSKf1JtpzOqxBAG70luk8lizn52sERNGd6nMbFO0C+Us9EgQV40MBINgdm5FeDlwLMzO4OP2qDvS1HXmlGP7sn3vJXs39rYWqO/KozJZxNBouxl6zHYURAgtmCYqcnAJPTz0yX/77bfs7lrnlGtkgL0pMFrdObR4Rbb1r1KvpAoeUSIp5/0kN1OTwrd5mKgfwfmp12meyR41kYsKFimSAmL0ydQGZ4SKFygyXgMTqMOu1NTPowvmB3V6TiAxISl9Fs9Bw+/MoeXYPnM+GE9U3cZ4y7qNMWJdqY8cP3s23gTJA5UZuFZ1eKr6iphckC4HBmrxC4s6C1Urwu3nJFaDckUsXB5Q/9lvjtIJS13rx+urCs9kfV9F/nHQklrExiB4Zd1B3+IgFQGWdTWIhJuihNrYWQqvaQKNMXDcWTQFDDuO5YpaX8kvJ4pCanFXfG+oh6og0i7iINivqwUmy3Z+NZ+8ntHAR4CtSlAksuyEw4exvhKawoIcYgAvZ2BFRNdfudnKftgtsmffjoHB+5MUztLQoonBixf8FAiYKgWLzEGFgwvL/vjZcbI4JohJGqiOvU5XDsXqe930esLFNNk6ZYI4+66lvg9ZBFMmQ27WJruav4GGA+/6DblEQjSQb6ocvIO8rnIXoBVyf/wyG5j1sZgZ5uriRZ6MjU5mr4HN6TA2EidfaFuVXyRmcgNTnsXt+M8/D3/pZFoqJGuj5qXZgDIAhHuOY35345jsP1XZpMR2xEnngjU1NDEG6t7pvooKwLxURl46ggmQzpEvp/sc2avgfqoUR9rpNNS8n5CaYVBcgQpUVNR4LuwxqocXq1jZqQWMp8gLsG4IOxdRdhTGzsbgabx5E7FEJAKq8uXT3QLeFCR+LL+TxGFVVxKYAcx6EB8cALiNfDF4X5htcobQ/gmN2s9tlRxDrFGzUWdrN8ETeTdL3teBfuTTr776+3dQWSqkLGnEwFvCGjGiZUF8H+EsKrvpXcq8aO7Q5Fv4+KrPyBk1cuIzvQbUOFTgepwEXSg2UIsKr0UtF0xVp3wMf6na5WoiUwWJ/FBsk+/bVs3sidTnggeJ1WK4jmVMRxOol/H6HVSR4wcvHsSpl7MZyoOCWV6DfF/KVXSVB+pKLmD7NTn2ROL09OesD1b9DQvII4dYM0CBBBAusHIi617gVTcHFFRThsMBcNmvYY38vjIAVj5BikzC0CeAGem6T1fRJ9K0e4Y7tlo5XT4SB7ZP1wRxmeGKekuh7QT1BaXM05sxXIUVOPdwBaLiEqwf475lix1Vyb/yN5pKe48cGqkTCMcUIeBv2ToRAlpbnyymrcE0OZBfCOWoVis+WPRexflgBZJUE3gGzmOlhW8/zGX4AcFkzcomlKzQ63XKJSIoSJzb7F8QBtRStwgKYLdSadJg1Ws3RntNJoqK+jAxNDLJ1YDchIlPVcx67MLG1danUIaophf0GfAMidwlVvdsfse0RWL69BFBLX9VdSXg1MAOHoNdEE1zaEu2p3wM+FIVzo2IDFVUPGo9CUN4NRXmnqiPsPwKVHeuOqMJmiJJQdYKL4LSPVruRUZDxGz82F3Vue1V3EyBEZuZ0DgFbqqgNBIhvYA9drkRMDTOHzDYfXV8X0wJ9Oeo8rdPGllJ2BKEN6T9LvBRsbZhz2A3NUfbO4nGK1ETwTfbuKK0aZS4OrV1L+OnX3377Xd+hQTj+0JmJ2RbuOVDlXRJ60DNWGQPz15XuZcWTghXSBaPogrhnYAvtJV/gwRDClEJbcjhOF/eqShz8oZSP5ZFk4gt89JSIwJRsYoq4QRVOAHhnYCQTTVJKWM2ejmpmgEvu4QqD4nXd35pNu+lLobtmM/G22tYIxSMpVietuxeSY3oTGZSlqEgb5F7I9gCsNVXao9Z78UEh4lSBock0YTY7wZO3mtTC1FW22pJCzS91KPDOiGPJFYuk96/y9LnOfDBDPFbMtTFE6GP7lRs+DOwJscxndp8MQHBGF4WK+fvnX0KUyuFfKlbIZwqqSlHWnSiBwtyIw5aiiSq819tVu7HQyxcCdE+2PbQIHOJmGMaVH8rKQjbQBpS6v2TOAGMEDLnCh0xu4lhN0bcF5M08SEjHcyYFxQn8Bm5Gi245d04kwkV0mImBCunOni4s1Plj8wK+MdwXVbYc8D5iok/1JY+UczOdSWmg5paIT10oQKKOSC+1Wi1nSyM3T1vX0N/Vpe2fIn/UdI8PMSS31GKZMtfvsEh/ku3WbrSqmiaRFDfdYq7D/3gVFJbuU61ymLStUKR+WPADC1FZS1m3In0Q2SAFEr/5+oqrTCmK5whZYzqVOpBTu5QQDNoaQb1AIsoGiw5pnDPKaNEEK3ZpXW6YqWO8anxV6qmOShVqp1Lj9F32wnsy4o0+CwYYXSVK0fZ4BU0oM1ihuz/OhKqRtc/EdiQqk+tMMmwK7Vp1z/wZ3V+qJabKgs3bD4QGRTq9KUik5KQNZ2Sqg3z5opIej54cfkhsqxZmxkP4NasjKhWkwdQqAT7y2XkrWy7VbdPycMORUq/xi8HSvBf//2ZkYIXfQF4/Mq1K8jvGEl4FbqEioUw9xSKHVI535si1pfSliT4GvQtBkUIRQmieF8zFGPsoYuJnYt76vNqoxfilZ88g4YMhQKOgVj4V9eVqukqKw2lA5OT+kCi6N41JHq20h+myNc7CGWmTNeJRF6O2XoHJXQlMDgQeiFCjLdC+nNsBG2YqYCBBdA0HG0ypCQJQwFNV+qKfN0c1o/oZ/7osqf1wMO5guKe68P4a16JLvihhPQvECABJbm+46AytAldEUbcSpgyrohkbFBcohBrCc4CMXf+giDjsTk0nUNL1lTgiaqaU2DpnQC6H9GQnFgD9swm+98YNRbu81xT/Oe/QS7DzPe8GtZIBjUFeRHaJjhNlfBgsCXZHM66En2sCt1eoUOy5DlB9seMNviqv5bI6k68xh9A9SH9gcIaWLLembY+KrrPkgMvypWaxRKw3dTytjkO/INKkz7uSF0UvLiJ9bUQjCj1Df92EsAlRWY5hfwlJup/wvsRpqH/2hWhzGqTeF/70s9MMXIc/cKY0WQD9A3psR/AQ0VtN2PDmDxs4npPJI8Xt5+h3WPhY5BeHVjKTjCynhpAwFYqSNtYMWP/dwGgtd5L9f1TuB40NkLg80cCSRAxlG+YUVTUTZboN1dAXrxLxpQvSR3Vps+3XZL3F6luTJW3my9gUHFl/oCq5o0uaJ9/JqpnSh3Yv3Otb2zYQt7lTpbHjsyjUTP2r6EWX17rqSUO/Ce3WqEm9WD743i/anVghrvXRs83Tq6kJRaBjXC+iEhs/Jk118+q1fo/D0ajWm4y6sELtORxbHSno1YwpArjkcUHOzy/hXEW1qmuWHrsigm8295w/aCixH/xuAd0n/CXh46zUiPn1uAndDE1mMsoDZsDQDZqdkZ4CwUpWJMgTjB39nhe7Pb6gYnsyMvzjZdWu/AGhLR+pYLofYHOT2qPIx0i8FDyGhRVZhNdLz6YO4R+JF7g6QoBM2Btf767aUiYkVCfoFB2RwNpZ3STiuShRHx8e2gMonNAmPeiBBZaT9gr/NbuFlIj3pOKDdBFvP4IagxMGgpEbKxBFeg59vzKqwKQFZdrCBNBrZZfGRFsqLJ0/eBS9C3JLdRKgqklTPacVy2LJYkAmgqdqibJn168sm/9rNZtbCxjrjtzPYBZRO8+2JLT2n3M0wyohyjNuoLdWEssR51NSVlgJbkqVKExFCkrvD5HYtNfCCzqg3d9A8JGLvroP0OzOSaR+X+ikRdUEbDmtCn3j7Nam/62LN0okNOJiFIVd5HQIQvDYO/ieL48E6FFkPzNF46PZEPgH0/XSDZGksESE9IrA6yFS7IFztQP0ah6GfFqYg4N3T4MLNays4zEjgUy+sq4x+YNXx11BMqeGPF81B5YYWZFcvoZcKVv0F5Je7n/rhXf6bRajNf7RU1PB9U5dptKnsL/CtuklZTH/PZ322JNgD93y+t+IEEtYj6oYZ6BvxpZ1045h3KyRbQ/vUK026+7KEbu1WUo48mE1crOhgWuVrIljMY9iqJk0DMFqx9OHYRheHvED3TIo8FdMQ5oneL9DBPGk+BhetweJJNetvqCeMdIf0UnvPj/oiclvDbxi9DXiU5pTqoLRH1ZF5gI2Wwif3X8H/6tXPbbMEHLldJb8Ye2yHPwvhXWCqMepW4Rf41D8mMWT1oIw1EeMRXOH15AOKkRzJa8mYgbnGf6ggmhOO1evwTvqK+fffE3EvI26Cej0l9OWw0VaUbMNuNQQCVQNHqstMW51av0i/xJun64XI08vAIOVDET/dAGBAwhW2tERnUmKbbZiX5KaJGkbZo/UW3XEp1v8RdW2O7Bf1ClhK7oDkq1MTBNuTqqzZbHA1INLR8kscmgN469u+Ut4SZe6KbkL0wRNhYit+V1+DuXaZiA5/cFCENrpno4mC40OOUUmBS26wgGYbouWMKZdzUmPXSnE272t7crzMzItpmnHUjvWVC2APO3sCeLHFrgZLEGzP9NJS/sfQrZMPJ+VdTlT4+iXmSAnuBuDI0FyGNgGSOG1/8Bp5o9Pqku5e4EcSVgGfkVUYBdFoBq04IkfIUSv4qBtfUwFeZWNSsTASzJ+vrrY/JOeQCpoNmvqDJis/5Ov6d+IihaCXBDOxMqLxnEHYH4l3cfBSkeoyroHZNAnryjVF5U+Z8YHMP89o4iWXrjaO/BAcYWFbhcJpDBBk6KOlw/1ofNfC2y49V2i1JmlhjlCm2sOIouBTLblZJySWMj41+KTIhh3SeodJQxUirQT5D6/BdkEc1fCPFRzRpRqNSIZ+VOg10oQd5hmU4iOhqiaEsGPwJmFqPxcMOhUdtwG9OFI/48YYmpKo2Dy3IlpsX3VGimZBJIlDxCWh0l9TFyiwIRbJsH2WSNCqv3u9plwsjqwsNKfym1AEsmpcnT+GtUNx/63BCQve91OyprWvw4205JR081HHhH5CgOLKglZcGPRIG0vBEWCdhWAxEOitTD8R1X+gEKizUiNdCdYgeKJ7pYs9o+aMZ2FJwO3fqARRVz8A3ki0m6227mKERhB7taALTXHc43SaVReA3p+4LYppZjDVxF28QvzWFn1kfgyrI8nGlQpMErviVN7vG9RQSM1xGUzC0kCF4kzDFrl5imTmymMR/WyAHgXhg6+MtkPUeVnyp1iVw4io77Pw5ox6YN0L1QkYOTY6x66qhkAmJB/1HyDF+RlCOJpo42u/7QsGO1bxOdrqNaXSAK7WpBPCmgVLVHqu9DVeTnJLcDsKFoFPwRl0mUy/77o2lcWilU4GuJSDyEZjTusBF1i7yaEM8XzJZd1gRryM2U9InyX2Xit5i/5vyMI6T+tpLKR1kJ2SFVy4UwnsIoyYmOYJo4RVs4f0pIeU0MNvCVsbwT/5tEkMZb01VeeU8g39fSXcocI1CSF/bI6L5Prl0SZFmonu/vgY5gqsk4SUMgdJYOkDSnLi3Hy1IHE40JAjzMRdVq6XQ99+5EURCV5+FPaMlepfQJG1cm/QVII2KAqEu6QhfWD5BUgkDpNNYC0La4MIoR8VwDPpXAXZEq0p2sbGQtIgCCS8WZ2l71XymRpCInmup2oa2Sxsjayzv0HpDb3235T3jgpPRFYtV854l7ecaHLyGVhIFtsDfDk8TKMI5LvkIicZnCtgVzSTcuRZ8II5Oz0TI5ibSt9lOsDp4u8Yn5JqpjmOUVSqsV28YRFebBqiJtHF1h/HnMUuQoU0Jql1Sv2yCTWtadxden9de+p3WWMA2GnxHZlWUVs6FwfEuGNg1BgxerBdp5Je2G10Qq37gzPwdfShGm7/FEs3j44P4UKaCZxDcjzgp9OSoCgAWpWzQbDDkYG+lXbmdHRamhCoyK+QtLt2HVIYp8qaru/UpEqaFDk0FquHeoW/XvfaUxnyEEJ32o0e4NQIMCCLk/AUHX0je97dX7DWkBi6SdbgWrOrjylDISm7WDxnD6u4/xmrVHp9y5ZNfaQNUi5qxKCsj2cY47Gp5fSP9Gglp/AfQK7VX0LBe3zd+w5fVrbRkOCyX/sdnRSFylnI/T5nlMIAZeG9vVAqgK0syxWsdoClvAfUF6eTOJ2FvLAMTBD2DNpUpVhFfZWx62Qe2Z86k3JjT+9GMovKftEOigAcSzA7/JcncUbk1gNpj9tqOqLWrCwVYoNYblRS1tMp7iVgyqa8zrCRq9B9P4dvFFJiSHbMtHTuw44S6nnNOkH+hvUVqq1WiSR272xQwtJrGEvDu0nGiCR0YIw7d4hRqsBD1J1DQM1spVLWrBfuRkwQwRfFL2XtSgpLuLH81ovpjvaoM3iEwQA0F/Weo6eSVxEUCi1h1MsHZZDssQRfrxak0c/7dNHaHSHNAdb5N8ItWSORHjhKFdQavN++VIChHxP2jK3LFA6weEUBVWMsrNq49giLyfcNp9agDUH19pn1poDBscoYUmS9SfnAoLpzLbHyQKrhmNSEZdWurLHxU8veKaaReflZ6UyKfsMzmaKnNWXp5ktAi8a+NXo8ncXLuiBXMceHiiGY4Wm3F/DuGRioPJIItRn5BYBGXR1HiHU8dWDyaDXHlkCSRLAhGF8ZlKxNS19LhZNm4C28dIuZ2jbOcrLiSZVITKfaOiGxn5bSPLsBjHi9I+uYojZEB1d7jMt3Aa1/dti4jgnGz9iDKZ8lVoraaSBpNVS8eAHkPukmqBHVpRF819SeK+Ki+MJnBM3Xt8JTZ3aJ01W6cAaldwAUOELdlfp1qi2DrgMYcp7Z1/FfeJgzraMjjXa1gfbuu5fZW8GygU0kXE38C+9kMFPLBwSJc+taMzX/6KF6idMf8dmkrJuGNY6DiB2/EHwCRgDHDu7xuB3qlvyPJGq3EVjjwf0p1vIMcWkKq6BCpLcQL2W3GfI4W1qdaNhbkc7FWF5RBjVocCtiINyj0okl0tzsPgXIfSHGPIFxiS+IV/xeY7geHyfaA7f4/pEfcdzL5vcZvAnjhpLbXrlB2RMrh5M1dLk8aOESUZR5KzZhSj2ZdqhoEOykLuoCUxxOo8VMCXEh1xtYljr87VZklkwZyk8SieNCYUbXAIp87At3nxaoTAlKnSFD8BHXpreRWYUvKWyY3MC2vbrj5nLSVVelU3Zrgi0qtZOBj+L8YypeJOxweEbmpqnuYszwidm8MU0hkTz19oL+RztUjgfIlUw4xIinKWI51PGDj5dpAxuG95XTAwQbuPQYpBBVVR/ZGtVI0AZBAKz1g+ZkTY7MuL59NKPe8qn7t/mgAtMFEwcDvBkiJisEqkTwsP572tA/dX6naRGdUVtuVOX2VphYnfHBddlVhoHhurDVX9ge8rJxJzbsGbP4lKfY/e8LzBDolI94YBlPGN4huYImS4fWq8m9UlhHOomopoupE/jat+sFyASr8RayL4vcmBRdw9dldnR6wo3hATtmStefbEqp6pcrAI20Ir9kRQk7w3A5zykOhVkGhGbXoYdbEaBLWTElOp+h9CL2FtSESeDaRUxVlT/RMI3ysupUzmgMMjITRNpuByYZWI2lgEHAi1lUHYR3JZwe1KqTl0IBGtlrVGYgkyA4fWezSclsaWtveFd62SrdZ/61IRGnTtiTs9QnKLpWBdlVR/oak2YIkWFcPTb56hlagqcw4HXGdi6QfSj/EubcDA5F6ufVhG4yp88F3x3GdB6gj1RsE7nbPiUUqWlysj2V07mR9cLlArEOaKI21WZ2t7DKcQBazvtcqxv8p70RoiA9CGbnHODEBxzQeU0dwmFMnRKWMdpHRySpD/biQHuonWhxpkT8A0A4b6zyGJUrd0TlM3/P25jLLtHZtaLRaLjrsvgeyud1ludjlADIK+P0Fi3L9Y+Lqfsokj6qrry5VwWNy6lHHNUsXUhibOR1Ike4vDwyuD30hT53YOj9qWYBfVVjSKc+tSehhJrHgsPu+KTklNHFyP9Fn0J1YRpjPxi3/rEH+OdAcIKMoV/ZVjGYV95Dt679BwoI5sxsMLdkBEA81SxejmeiFPv/2aYhysmLpSGr/s6QSveTNEV0EJR6WkrSAcErs3pS6CbceeD5O2vJbz4Oiqr9Hm8++Pv/z28dO/jb787vk33zx/9h2+nbwvfvvMfvv3R5U6JCo1lhRAqTwfzbghHo9pkF/iq/1HBOko87Dm+ZUHUhiSNgq8kJCQzzAmol+BPzhCk/fmr2fVzzwAtKsLaf+4uwYA59z1V9V3fQr9HUmJHP6y1CUc6Zt7XY0kVXqG1NATPtC9b+xk5hYl3vdyqqduvTu0yy6U2/kG82uxWl4zQceph+VO5VLVPPnI8O6vgFqY4ks3cQoF9NHp2XjYPG+dXHZaJ+PRoNG+aF+cjVsvWhej4Wd88XJBX6cNySBJoWfDnzp+AGFbdPiKor3F1WfMIlGw4X1GqYbgVI0bFzXxj5rD0fi4PRx3G4Oz9sW4cdHovBri7xf++ZR66syAjrGUAyJcsB8oM4NnUpCTEfGYo9NWd3yCi3ROzgb4R3f8gj/QDy9qxMeOjNC5rY1fcjBV0ThG+3yAsWycnAxaw2Fr+NnnRS66heScxDXe0HYNRxctzDEw54P28dm4Nzgbnw+a569wAR0WO0xutyX7kfq6+ELlJvqtwbCHcRoO22cXXbzJ8Xl7iN4Jr2LjhZIBadpmmGJqZJqNDi/T7kGA80UH98Kh1bi3KnzRNJZiXz11bnM04HO4Z2rCBcipcsQlbqeLu8yvTZCC4I1+MY1RY9gaOd/rmEB/3x/0Ti6b7vdSW2hf+JdP1XUu0T+CL/ep+iEjO6qpiQUQSo7HArgYjnujc5ymW09gFdjyUU8lSk1TlWVR9T0MyVnIkF4dTpF3MHl+6B2PG/1+h50u2r0L95dlFbKlODqLSzMWVm/m6Gd6LmBx93qdcbPX6Ywbo1Hr4qRx0cT09N1iPYsl9JcS126roed083Iw4CQaNjqNQVumtiuykIu9UoiRUvDjQas5uGyPOPVwsIYTNBpFpWV1lFzv1Xh4OXjRCqbmDBLbeMD1/DXYo5lVvDrqjjpjyO9ycrdGfKLB+EWjc9miNfg841lBZwPvnIvL7jGnXgMjYs7Jc9N4eS/bffmJl73Bj5jHJzJPA1MlbXsQNdnW60yR9y/GnRZm7vikNWq0O/IjXMj6YMjZuUe5X7OUVQAHe0RPz4L8GiORGxbxZH0ZvE+8TrwTOch7p4mmWeXTEx1JpIKTXYAvf8xFDjGlxc6hBRbsp6rIUjNFv9D+kK+034ZxtjMlMmwqUnxAk2bnVz4PTZgQMY12DvvgAs2bkv+QZ1JWivNeRteawCozdf/dR5ladR19I9iazwrGEqlGpSxlDrgYt0etrnOfL29oiNj+kG397Ib38rzXaWEMWuPTS3TUuTj7w3cEvX6K+4JePmbb8dh6hS1kjK3gtE0zIztU9T5jfYKzNXR6tRsASzWExR2fDfrOIH6cl5ne2bw5+hP6SqG3lDDVs7cZtrifxINRtiZca+2raXY8A6WeelRzEgUFHEFTlbfvcDK6zI1hCH8cYrPvt0fc8DuNi/FF6+WLl0/9eRHU1WnfJM/Ja8IF7QEmYrPR7TfgfVjnUobVN1Asgue+fXR6cSJ7NV4j2jHyLebibUfnv4jDMG40m71LuqVykNFyxJPggH5jMOLW5G9rrUz3c3Ou52zOn2fN/AjhAbhbd+FbmyQu29zRJMtqnIpkC6Nfz+f9nHRdc5hU6zgOsXxpey0407nMbW7cWcFL6dqotgf4sseNix/tsOl9xBysyEdiv/WBx3B+EApwfM9g3+mM9UwXhxfZ0RnsOl2y3un4uNfDtAn2RMBkKJ+THLbvF58NGiet8aAxkstrj+DINdRFPzricxTdCM0TDH6o4FTQoceOdBabF82+vISsf6IKr4MX7xwg8lbeAbNsepe9MxUr2Q0OocHG5Y6arXGzL+7D8LwFL+W8hYcf8MGbctb7LZgUVCidGIHCt+Yk9Fnz3lo4ynMj6Kz6FKM8HtEHvapmp9HG2sNrPIOBbzRpFc/mAqfTNUYzaNH2h+9Mn/hCffta5gFMi/leTQPniDucrxrd5QfxImeD3mXfOW4tiSznoEHrjEY1/y0hqeYXGbW78JR4Jz5ODMEFR8VHbrvTG+kA0D86O8KTlP0/7+pnNwh2Jnkj9iNYRAamyYjWtAfQXT2Mfknu+5WZBFXcnBXmumEum6DxeAg/Q1bGw4d8WG0RJp67bsIgdHjZf6Gi0PHPUQ/hT+QpQWd9ey29OMQXsC1C/efWmIRKuZa8cELsjxVF3XvNl8MxIryYLbJ7C2QTxIDThJw2x40u7C22+GbEkdZQiU4e1sdITPcB1VhOErG+sVb4ARwCHcUEy5NF+1razPQ8dSXOlJ1pnLxoD3uICUaXJ4gIOxLTBpfKW2eW7Aatbr/Te9VqOZCGs1hcUGTfR3G2LN2PPrlQ20BWnG1sfHz2e61XRYgvvRFsczTk3EsfdHU7gZkIUGAm5yia8E4VUoW9Bi/jbPSqP76QKNrhdJSd0+z2RxfN8BxkSbEJOW9Pd5xVuluIOuVHuydjfQH8NnaDEfapn+Xnc+b5UQPJYSbA2ONPR9UMBOFnATaBqKaDC/pw5OeSICu7f0I06oELHvERaCsT/qKF+er/pF6QR7YaSE5NjjoWp9xBFMBBr5QjwpMOslV+NR3jvlLvUOtfZke6IRg0H9aCn9Knq3mhZu/iRWswGo96D/pi1ELFLPhcZfh3S9V1F69Tviq/O7Vu+YxSP+RfAR+Wn8/XHr50klTAQrHvHHHJoPw6Ct2NzSAXH45NVVZFuVDxuAlPfHB2Ht5WfiWIr8rbK5tOGm9+9WIwvBirh3R1aqk6SrTcHzH1ecVMHZwOuljsgxEyCnJhXWURXs58U3HB3rDNTUQuZmKI4rIpGgsdDKhBkqIwVUYdHZDTdnssHmm3dzHiKT5EVCiIrUhkBDCXY81LUyDoMcfeBzokKYaGI6pzirgAPIQ28PUGUjYtRMbDZg9Zh0jq4p67q3ZHifbxV6eQEccv0wJZF0F+Wpq6x6J7hA7C9l6pKhp0jtqJo4VwX3AbAFG9vnqlAuLiNZ0CFCieBuwb4Wx4jkZqeAJUt9eSUcqhhPGLduslrmeutZzg9Zf4bfGeT39otiYeKLteJX0S4woEnJ7lNaY6+9GyRiblXfEKKtHDwJ4x679F5orYlppUmB0Ky1ITKbIKeCwReKQEF6v1VQYsg8cTq29cnHSA8IcrxxNH0vVARQjATf90wJoujwusg0TGp3QMVf3TuCFRbJvZ0ogvPmj9dNlGnxpkcLr9FvD+SPLGcdr2d6K1Hb03em4Z8hJGHSO3o0NawWU/TpLx/vg92k0oiVd5CuSvsOG4+D80bZmCYWMKtR3oI0+Rl251ChD8x0GPPa1nfTsXDYFL3QSpkv/FmwAQjI7v8ny94x9azRHAWqC/PezRJtE7RDENqcvCMNSXHPYuB4hKh6+GxUyD6jOhsqeNIWFBc5UaKVkfmbH1o/fz4j8NZ9El20V9Tr6M2fUKHOzKmAOvKOKAHu5uHv1ZfdeHdDG5ccJEYyV0keoFS0P43opL4oVr8XD1ePyy+yLcXCy1lRoFT7/77juTQ0VoQKxY0hwB/sTe1bYEfjR5nzXQUJy88jIujlPnk2GbP82O0AJu3D+BB8dkj0lThyAzaQYIuLBrvdalLKAsSRKg2UMohd3oGKles+NKxuAH6oeorj1MUJrjf2gB9rocEE/qtC9ibioKgDm8qn3Um7y4GWZF8HDkuJqN4flpp/dSpfntCREGqTpn0KL7Jzl+BKSgdYgt9MdU79rchqU/Ul7ic9Rv4BpgA/Eq9K0BiYJFA8+Xv5+LgupGL4WyYnjI6mSeh9zaGINWOEuLF9CVVgfyNrugIRWOMuyt9LXB7TgHN0FfXsRt/V5rpkZESCrFH+QPM/qLsqj+2s3/kN28OrH/u+z3VeSqj+YPIPxDScPdIlspb2Wmimfo5YuH0e8Yn6X1c6t5GWVJ0d9MTF/P3ZDSuwKl7uWpECnG7YvTnm8sfmnkbJgWHHhoVZRYXiPKaPWh+12GWqe9Qfey04A56YLNqGC3vPb6SB0kt9DsIbAP1mYYHf9+QTVgBkem3wbhsGp9xFnt43anPcITBGl9Ry9NdWksx0rETSRds9gWoGxwTUSn4V03otOsqTgb4nqxeo3dCZCAzC5opSPvy1jwrNNDxEJMQhziEzjEkfxPgMpX5Ky96ZYrm5iWeEpyqUjIkqB/b1rhw+cN/ZQsOn1zGaLOQtMLBtxZh1gqLzSz4Bw1eVaVa4fmBhtyVODT9OB5wFUACnh50Vb8jd8qSR4++paL8EUnFfg/wRHQrUFhPYJqWWE+0SIcslJgTtGL7h9hfpywsHojoaoBK7roMJv4rTUAJ7rVJ8wawHklZlVzr/6K8Q8gm9eh+9Xe8z/aPu0XYBV6DAp8UsKmKOqO5w0U0vyLdOhTXVNg68C50SPQIkHe8s+Jdf72xvBpSJuCxer9cmqoNBFW7SFWPIIOGjNva7iXSMdrGs9wJKUJzR6xXcQQA5C3EX6EOT+/2YMM/AXJ+014GMfdNioAgK0fM1Eq4DrCuVvqMgtaqYH4Dshcl3317XKqeeC6+4M+BIbeELKIRyLlEJiHTzGRHqU6BMwMelygZmCPOhkRuoqR01KY+0On38/Xb+m7Up7PqJNhA31BOHV8/EoQRnLq/b358DRPhAZdFyikwkATa2eFPVG2WU6WUX/cxOrpgTndjHrnTaSwWpNbl6UvWoR3AFYweeHz5ux+PDF2IwV87c/s970vtzPEp1uNo0Q4myrTJix0aVKPNc0Um2E5/zu4IcGulVMa8uG3ZVg5Yq1QljCqSId1H9H/+OTw/2pHr7b3EEPyY2USH8fPY3khS7oU3b3I+VewpV0N+lAt5vtfpjwgqGez/c6PwLzjxg/Qst8DF8cy50O/jTHtvXJ/7etNBqIYAj80T8kUT5gZWdAT+i3hCbRPwJsjVVjADn24Pvouu0Vo5hyvD++Pu7B9gcejBTcNXYSA5vCYGWzNDKGFtHKpdguVekUFSevjgSPrvVThLAJMF861XBX/PPNT+pwD64j2sSOVxT777NhavUWgdhES1bs2oA9klhXQPhak3fcyHopi96DJuUKODaS/gMmV0xXJ4WIazXC5Pn0m2KH8rYfMgQ19HboIF0z06cpzmGSXDZFwUGzNPLGW94LMf8cKvJbx1l42EOK0+nyh/jU7aILApU5OptfQr0jP1GSxstKaHhS4RCtNmQEprOmBtMSqUJ3OUiWeaFeJ1JcVzmMcWa8I+AK8JB1mObW/KoteaBKFuqqXKpnVU4WlESep2O+bah+AOUX+2zYHYnUW0z68ErJiTgrQ47TGT0tmDMWg5Ay/eOLuZ1S+QPpwxWSq6qdNr5/Htn6GYb0ctMagFOtiXh7M2hP2WtzKsdgneKyu/raHxtWIirRwCfuKeK0K+opMd1uBsRepHGFgPn1FHl7pQjtZY2FT19poR0DhTGo1Vnzx50jN7bMB3lvRoQ7I9vEd6U/gRboCispvpjekaEEm2qwqef7k3mTtgKcq7alVq0zuUSWH9iM4qYTmlOOsUpqbDB2cWfHqDbaQCwJSv5ZQIUEhRfLza8ly0Q++y7DaiCkcrXsp29kxURdkcZrtE2q+yMZyzIoK8eSLjMcftm8yyHSA7wUS/Q+jU834Og7uu+6PNHds2YbbAa+Gag8k12yyEZsNXCIPypuC8IRReRiOBaBjDnSh+JYuoVjhmDmROC8QLi0R/iuv8efiLlYt6j8qR5KHT6U42Fmrh2KVPiovEziYEhCnf0lPDnV2VqHE898Cjy/punVmBap43Esp+k5SKAHOqxbJsZpM0WpRJB1mayHNotuyoXKAQQYFoGabtLAeVHf+rbBNkegoicsjqMAfv9vvvVHrje8A+ZE/CfX3E0EX7lNc+JBYgNGQy0wroyOqHgrhU76azXRxntKfUwZIcIFiWdZogJzkj9zfZW//VBmI/3aO7wOGMHUhRRrCGov9IXh9UkCz3KiSdVGyMQKz0t0LGcU7peyXxl2qmGlxEpEImiTYQ8jOQrSv3+r1O63AC74RfY48lc6qeNSTdMaDU7jcqmp6+WZ+vVurh9KKTvYwQDSn7bNLcqcA5muFJ2aobXMj3bBY8Qbk0rmYY/OcOiAx6TIoHrxZLearrDed7tDJhlXD6UEznWtyeVwtW/Gi0VTiY4FYkPS4IAOsjOjmJ7EH0BSw0vop3Zz8kKhyjiOYo1X8KxQnkTLZsXm2mlQzNIJm3hUcCi1+SBAO8h2oCgLRvjADLYcCB+cUisTBDrEchwurA/Rr+jyVJzyT23FPkbmflx/h258ue6i9EWI8/CtgfnwaVhnQUxQFVMULgculKSG5JI17igI5oyeoDMkfnQ40OfH99SOrbWMtM2aji1In3spTGh/+/tKTIgDZ0GIyhhvi7azH40uoIzaOhyi6bnW6jOYfUhvhQRM3f5XgWx2NWAn+g7ptLHyX/rnlde+vWg2WoOxL/PVV6tAfkYZft0GhyIzoH/3UkEIesMcvO7FaHPQd23D7NnK7w9m1lFsdnUKXl1YL9GGtrlvCf/q3Ei356GIjad7YX+NWrgvzQCItyMitmZIbTt5irpOO0FPLYth4QZ26cPk5YhwmV4plMCxz2NiKwUk1/QRSt5XMPmk1kDwM1WzhUiylb6i9Q9VWrMQvLLTFc+SCy/JXD0Se9eYx6ul2bzCsOwr16w57IuMLZkgX/6cQMuad26AsIoxYLVXltjqEer+sru9dKNFzK/estNQfiPePwgnIdzgl4yicAJGWfE6Dff3xpQG+qBBDrq3o1+mGLpixVnXcq36x+gRG2iMYSggmw7vOkUvFboZgMkXGfdmJ+vBls262wXag9tIa4lCXJ+wpt617taSHwOiuQ33RLDg81V6K33AUJ1OJyOqHWy10AH+9mG9uZL8sCAn5KnSa6wxlaFZ/nrUurNa82ou8ZJLI1VWKEroqnil2NRTcINkFgvUY//oZ/wyCZYnhhXOwhxJjjeIBqRXTBV8qwLNF1EoGRNd8aREUXZgXy8Sp6OoNs3euAr5qtVzeYkHSqiIufyoitxZJ0yr67kuzyyrUZQRw1gT/Q7+0MoIz7fjvyP3wUg2s3tM75E+7FdASfuDyZo4aw55Eqa1UDfi+KiEPqgld0XvAYb4xbZunaKzUBVQYqdqkfVYdpXZ/hDJT60zFYXuIYtyf10nmzNWc1E7NmDlpq2JTnyljwwwqSWgsS1Mp4wvUWmXhd0LIHwV9EA5ijV8Ex+Xao/54RjAG7DytvEPtcXg9nY5oxPmb+eqt0lmAcpHtV2ttb2Ciur0XUhPBCn0pqQ1q/PfZdMyyqcGW8muJr+fZ4G6uskLmdD7vWXs86Ldl2he4Vm19gt+yXQZJnzQcQaCIgQ+wvEEcy4NBWzPcipYYsWiiRmsDVV0hB+ZgZaELQqrqJ3cXWdS1nrGmqPdje/yjBaxkY+9OICTD8NPrFhKtDVXlr/bKBsaS6yqP4UejqPxX5sCC3ul2Nh+N/OSvCCx+tQc0Nndm6SviZGMYqWazohqXG7ar07XwwAuU8JDolYQWTAnteVy/s2Of63d2/FBcv4iLjF7wJT1xSpHCvFdODhVyKyQzR9P5dQsrz2d9qLDk9485HOS1dCg6JsWRID4MGm57h0HDqeKMzDzZdth719t2huftfmzbQUV6vKOAFKtPVW3qQtEXGK/opgS9rmYveLegGaBHQMFyUqzYtNUCCxKK/6sPMxEt9VzubuOi33uJNXJ8iaYfkXD0/Z1Ixy3RI3swW87e4d+6RIEGEjRaUYszSjsf0/Za3rbTeExlgkvbjxWbjpGi3zrr6T5DD9bILBLT//lYKQ9ccWfsjyqcLnbNMO53tKjaWwvFVk6mn+yDd3LywyHWdUto9noy/dVmwxSDnxXe4lIdN5q5N6GY/FIQnp/oEv+Lp6k1FikR/zQohf929IVPibfrB0roryqyBulWM9BhZ8MXzBzQdQj2LbdQ9oMvD30UQXhRi9d5xWkH2hyxv4tYRz4tG7TBHvEeXa6RElFNyKGOQxaC6maZWelrbG7iLivPu6TgxKkQF8ZC3huQCFX+rd63tMadd6jekxTFNiJHYOXDP1UJctuDPKojXlCLT+qvd3pNSnhLYvUvTfKPpkn+kAlRrfBgMwEhQ00Lh6PZAJtnyssOThpI2ds9yuHAfLW65AenZ/fUTox4yjA01JuAPPIC2OgIfqWGaeBLUnQCcVcH6tAj9N+JdB3QtdealXzEXiXsDkU05tn4VArjwK6Bk0rv+kNRbc3rfFVoISLillsUTLBSrKpprKh52W6RWuYQgJTBdllA0D6+VM2nDBhshWFyiTaoMeIsaTZm0KTweJ94lBaqyumRpQ4waZCeE9y6YJEfKdEP1cnXc4B1AGIVaLMjQHTIggxX5GmHfTGU5hYevXjYY6RNRFzLAnQi+GXU7QaXRtjdSFvGL/JMU9/yFEv8Ij8/k+vIYim9Ye+dMLnR6WFa939oSw8elW6yYmWXoKrlB7Cn3rAFQXERx/Sgbq3X4yhY8Jo8hYcPeqprkn/aYwNuPCbKxmLG7HI7X8x/U8QzuS9eA2jHS6V3olMVkpc/Wi3hWeBuyU77TN1owR2P9oCxFxXpUntbAvPJZe2I8Jel2ampvfwd6et7sObvqbL6h+mnFlqR+VFJ3XpihZwZ8FOFWb2WSWbblnI+o+PuDkRs9P20uhmqK3W/j87ebBRgOjoVGvYclNu9d3/r33GS3adR9f2ldfaps6jUdniAoGjvgUbWvxzSTLf5vv/o/f6AZFXxzufZQwMp+/QA/B3dibKE8aehiPVRC+mpZ7qjxlChKu0Czgu1Hf6qSfsoOk9/VaBD3iKvMD+5LFSYf/wKdOmk6ue4BO09XS3okpRVisyAkk1Nn2nVbiCNSWnCSCgzomlUyXLVh9c6/mNFH3N/oSDfoiMNT7kfAuJot0WRBh2dmHC2O7t9LR3j0VOAcS8FtNDeG6GO6oNljsNljfSKOZSS14g3rfaKVsEE0Nif380W9FEganLWMUGJaVsgP4NUrjQg+C9fGvJiLs32iAOj+sktxTHyyuR/jXujc2wvum46oEiez69vMumzSVQWlCLmMVVVm9sLLgLjoLMVVidcf7y2uYQL0hRL8u2KNhETtf8pW07zlvJoKI/SEdtP/vNMvr5V7A1QieTrLmaf9MHwbsJGdo4Cm181Z7XZKkCUj6ljVMFlU+i7xrdUY3XLZdNVVEqMyR8PKt21MB+mE0XpgeQc6riaDRPeEzws0qmUXJ70N4xaYFIpTMdwLwltFf7YxVNjck5lV5C0Fi4irEIy7e3dABqFo8pyjmZQRpDRaTiONsW1242D2kF2a94EvAEWahNCr3s0JK9uNC7LAEkR53dMBd0B7cjvq238Z2stmPeJ/cQSPZ9gPuavFl3EHv9qL3tU1V4WKePVnE33dre30miEBvaEZd0XL3ptaHNGdoVC9biuBa+qDrq3kHbjpJGdAGN8DfwaGR3uSBCVRy8V3WrYrzkg/njSEHibu1S320N7FXbqTLawls5jHYg5pVgniiKaoKSoLzUfVmkMlkQh1palfpSN8i7oPVOH0P9R78u6P7pnSchgNl2j35Cwoq1gZsAcQ1wwuGxLQREGetR+Ia0rscfvX1HySe32lIBUssK508ACa6UpnPsNH9sr+DRYPvuAzR9FR7E2YF1XYuT+HcFUmyXIcd6upPysRCDE5EUdSsxgtzT9xIzzK8XrZ4NWeVTWGJAHRKPOAjXbfETb83FDShIbaP07+SBL2ySstMwsirH7jVeynI2oh2KbOS5+HfqdMIX/C0D6sJLoX4JNSedUCxnSB0b0/2QU7eqMCI/oAta4RvxmypugLH+G6I2z+KE43p+GTf3zMidrtnj447XqHqLT2ie3NVZr0NTePB+y6/ansege4o3/23Vvf8AZUded4tv+ozRQHbSxhEldxRT0wW/LtfZ6rZJ5nfdZrVMtvX/Zp+77DX1m0UNGusVV6rJQLJ9WaIUOTouQ8na+yYtFj9qtn5m5gdiNrRQNenAIwgV2NlqtEHsjsQ3/gey+jr69aiIwtaX7SuNEUR8NizYIHvMGKvfM49Svy67aZRURJNQg9ZHp2ep6Pbm7IWKCPuIZKPHnA4T/U3EDRX0yb85uWd0hw/FBydx/CYfaNjkHUJwdfYTfW2nUcgzN0q/KWp/OkGZDitvYmtHkPWI4cJWhD1gmlmNa3F8gp2eXoTVYplvGRQukZdPLKJJUrReeIj/7Smo8QEgFAxfNA6HTGCnYsFiS3wNbw0evVMpQd6iu3ShbALi72eoOiWaJlBHgKgBH1a1IsAu8EIHE1fzNm+wNDKES9FQfltWxQD+mA4b6CaR0pLqTqTUCpR2w02HjECqjvjNk7e4rhxHQKrPGO6R08a5ZhmMC9P64AbbuqPHzGBKduhSMHa6QK5ujgh1siOxinl3sVGJecoes7G8CCW220Jbroj2+uFRJehXX9yGRMFtewaIPwX3Xp/QhktC6OOkhjQsJ0OBQEZHSRxyu9g8NnbluC5BBTgbST/j5LXX4894AY8gRjC6HuAWR4TfNAIrHm64AqYNVIxde2R6pWMdyzZqa/X/KhNwBtJbB7G4Bwo1Id7ALmsoe57Vd0JAfSpXZfgSXvQmjH4Up9gC9t/eJCB+OmVvP2/bdmvt4er75coBI1QC5iEHGGAOmqFwOBxRpWiYrFaN487vhbP2WKSwtIpKnsrxCn59/Hv7SgQ1/vZ7P3hRKgtgMil/Clh+jBPxUNqBBVwkgRzlGfzxU8aCTqoYI7V/+LxONwpEqNvcLanVgFcu70inl1TGnlscCOmJmDwpElhYNqszBF8u51X919DtKFtZ+pI5+Ib1VZ2PhlBZlZPzOSqjfbkPx3LbM84NznXgWvSmvPkulpOUbhv0r3S67hBzLJu0qhDVuIGXGIY7BzLlxF6Etsl6hLkxq08W/7EO5fNCDI8Dcb1SbYAkFkoVS1rXdGw4vT8yvBh0rEQw9mS1m13CSi9omvRG2Ealq7KiMlnYlP80Gd1XQxD4m/6MkXR8QR/xrB/r0G8PGMa3ME4wcI3bDDqfK1xMcxE9hQzL8lKOXBAuai9UG5eLKnESax4DmAgGK5rjZGZ7AjGiN+7yjbNB0s7SLLJirbB/r+VQJnDpWG6EFO5T+l9Yso8t62YFAFVU/01zeh+Tn9kt1AF1pPz2y3g51qADggbKdh/dxqNbirGHA7q+wue9z34N/odnchnctjSN1/wtN1adOgKhU60OlnpfK+e6hcAtO2yPv0JL3gKYBSyloOFtTW0bpC2LvlsbyZwNof1pN049TslnW2O/Athx/AR1oY/fnd1AKBflixGOW3Ej2lYjzUSQBxh1YekKdrzN5DfCW+IeI9BWjANh78lrlkObkbjIlfbZ4yP7kXEe71WiwFJRbbXdIb66ziSoaZhE+lNQhEdlTyPK6Pchtt1VQMN/Mgeav7uRYt+uqmBWUjkH/VzAaSkMx1cjrF0+Dmr7+jeI52pCYg5foh15K0aOlqw84Vrny1fvJJ6bt/NF3nt9zr66OW6rauR6y2xcdL+5sCtQsL81LWJGYKdFQft3qLua+pPsGJ2t21IWGkpAFji+bPyIhGHiQ8DlnUxTlOS0JugNoNSGvZMtDXx5HPM8JhB2QgGM1GHrHoutFA7L87TM8OkMEhU+UZd9ye4HjWNHWUAbjkJK2szYQDkj+I6GGTnR+oSAY6HzzKDS4hTwOM3ykfDts74eoI6vLLN+ygVJOPpfet8I796HY+z3Sa7QXmN44P3SMWdk8dx667g1XU+HrPhKV5E9Q8MEayJMZdWVOT/Huma/Gx2hzgXeCljJjfBzWsqKjX6eTIQRtXLR/EeQqo178UDSiWDPpfiVS8kJSaanz8jTWMEMhOT6Wc5yPRV+Mh1PSSR0hHSs+SbeuaiPaQxgJim3iXhiNdBFdb45/pGAb+nqAlxuxGb/XfgyWu261mLPd/dWMY6o7M4ILb/NUtIQVsm90MMT4g8Jxp7rVc6fChESKekAlLRSms0TEeCNQ00Tjn81c1y0ZZ4QHAlJtox9BewTlLtNhHhlw1DzPZ++ci0opfWR2fWS17pAT9YAMbAcftgFlKT7c+rlEvu7e+PDvJ4H3iQHhv9+DwmH+47OkD0Hv/eRg9xp07d9xL0oRJGMeKXJcdYXhomKCj2HAqe0FVClsSwSBwRdaYfDnT3PzfYjZ9xe5nGqhk8UKYiSMmXrHP1A4BinJRqcHpUzT4agqYqtHh1GQ5kOWOdg0b2mMI2qmLpjPttsJJF8lfG00ZhDakqzu/vxr9nrE//ZGVN8RSqUqDGe02tGNxyORXt2WeOI3eSBUvE1eoEiizIHIIjP97HSAbF4OBpLkBfFUN3LQ6snD3frtTNe2X/5IkVce8go0/cGLVtC6iTOgbDY9iOKO9F+arCFQvAONdwJCft64TCimumVjv4cM9nB0An6uauZEpqnp3iji73MlvyTHUey9zaaTv6P9r1poHw8a+d07EHZmy2vkBkHIkVTWkYvROm0o2d5Q9/HrnYqkrVLSpdSOU9FbYDI/SPdCNFTMox/hPI/AqK0gMgNYvEavgFz0mAsbLczO0CDA9o/05s9ghg4yd5MPpv87FIa2EIswpofaC6VKUWxuQUmpjdYfRhTJ4OVY9cRgYzb0dBshFPoFTWQYbh/7MzhvZc/nXO22GW7Hp3eXPrs2Aicgr65U5XNzDSQITSxdAk758Dn9DBJzgXyTbr/Te9VCN060jz67MItVT4gi2afYzFQxaQt6udqCpaYefi4we38x9f59mXp/USx+X4pFc7tebMYXK+DHpSu9d3eb/TSFm4HSF/g+vX53/FMTbgOWdiugbQAVK+4NHoXvHL2xgi0ZMnlZYycCEZMlYGXNjYN4XuPyBN0t0ZELVe40HkHf+aISjtMaOWiDm4vgNARoojLL4drd9xQU+8sufQy7hK19wlJEy/6tX4toC8SOxJfYLW3DH/NNOa+5WHyHwF+yS793Ld1fdeSn8NxanRZyax+ZG1MDiFIB9T5V4lXxRZU48UMG77aTcG9X6CLcu0z2BHU8tVKXuDnZoETR9hcypZgQ2T0/7fReRnTXftqhABvcjbPF6jVSYrY3yk8NSOH2UG7J7MNlR6iJEdrF78+m+EN+9HPL93hgCkfzZjb9lQYsFz8VZtt5q/kjmiMbSts9KHYP0LWgpFwsVlGvFKmawB0MvQJdO+FsNBuDE+n7I3y+B7ivP5zdFXv6P1/rzT+XANJDzLxPLllTzTWqsYv6s/n29WQ3vSkS1lACDrW39a2u3tH4RHmUs76eLE03qENacVgO/fnuFoX0BqT5PJs74pF0Gi3O0R40EZSASQ+OSSQa0SCJ0r7Obw5P4bTARFnxdnclCM5qtwZ0ih5ss9s7ymQavevRCYBgkIXRgk1XLZlTpOlWeMIlDwVyow7/lGWo67Jx6nJtHkx181MkEp3dUOjQlAZjgpwB/UergkHrJxBGwz7X0IxgoZqkYrj3W6kMBXGqftzDn4IZMmydYZZrsM7BfJua+1bakWK9OqiToN9AsD9AW4TLLqDcIKXRYAWgAqTddodk5JHjpgr4B62OqvNDhkEYUeqE/TtlPFT3QEeQpYnVzsZkSHZMkC/54JqUMDM8Glw0L8AVk/ZzgUD+1RSDsJ3MF6QewnrovpOD1qjR7ow7rQaEkEJZfZx1t73KXu8gD7TN3kKfH00iJwvaHGA2fWRoFDl7/IKCw6PLBhopemaErDbOrtVbPMoWtLsNriGllsJsY5Vi7wVIREILpRgKay73Lz/fg9JVzI91wczmpHfMtQg8FLJlAKb6ffi/MSDJ0rr9K4Af51K8D5MHNq1E9u24qXsaNm5XuyX3CC5/p0unztw0ur3Li9AgQCiVDZuYZlGlrhQl4HuhzJeSTzlfg6GOeSkGY4fthbvVANT0FvRZMFKWYoj6LloQJ6AI9Ll8cG4K7v7tfJph5sP0SGNnzX9tggSrdTaEB9u4gmu/WrINjqxbpxkfT+kjc4ji11qU2Xx/5T65xE4LdQXzw8hF5ltrMDmt/TRU+fK00PYGK6H1fjoThj9sVEXzHsbjtobB8pehR5K9EMocl2Kz0W80yanrQ3/oguMPcqJqR+OPLqyi5NyFmc1sltH1kRI6xc5GWxI9voWDtQCQc2AwFkR3ZejEgjJjJr28yY
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</FILE_DATA>
    <DATA_SHEET_FILE_NAME>xl/worksheets/sheet1.xml</DATA_SHEET_FILE_NAME>
    <PARAMETER_SHEET_FILE_NAME>xl/worksheets/sheet5.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>Row Labels</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>1</STRING_ID>
      <STRING>Count of Id</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>2</STRING_ID>
      <STRING>HRMSi - Training Success Analysis</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>3</STRING_ID>
      <STRING>by Sponsoring Organization</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>4</STRING_ID>
      <STRING>Grand Total</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>5</STRING_ID>
      <STRING>Event (Scheduled - Training) - Historic (OTFG_SCHEDULED_TRAINING_EVENTS)</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>6</STRING_ID>
      <STRING>HRMSi - Training Success Analysis: by Sponsoring Organization ()</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>7</STRING_ID>
      <STRING>BISUSER (BIS User)</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
    </TEMPLATE_SHARED_STRINGS>
    <TEMPLATE_PARAMETER_DEFAULTS>
    </TEMPLATE_PARAMETER_DEFAULTS>
    <TEMPLATE_STYLES>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>A1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>B1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>C1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>D1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>E1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>F1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>G</CELL_IDENTIFIER>
      <STYLE_ID>2</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>G1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>H1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>I</CELL_IDENTIFIER>
      <STYLE_ID>3</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>J</CELL_IDENTIFIER>
      <STYLE_ID>3</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>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>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>B1</CELL_IDENTIFIER>
      <STYLE_ID>4</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B11</CELL_IDENTIFIER>
      <STYLE_ID>4</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B12</CELL_IDENTIFIER>
      <STYLE_ID>4</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B13</CELL_IDENTIFIER>
      <STYLE_ID>4</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B14</CELL_IDENTIFIER>
      <STYLE_ID>4</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B2</CELL_IDENTIFIER>
      <STYLE_ID>4</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B3</CELL_IDENTIFIER>
      <STYLE_ID>2</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B4</CELL_IDENTIFIER>
      <STYLE_ID>4</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B5</CELL_IDENTIFIER>
      <STYLE_ID>4</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B6</CELL_IDENTIFIER>
      <STYLE_ID>4</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B7</CELL_IDENTIFIER>
      <STYLE_ID>4</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B8</CELL_IDENTIFIER>
      <STYLE_ID>4</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B9</CELL_IDENTIFIER>
      <STYLE_ID>4</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
    </TEMPLATE_STYLES>
    <TEMPLATE_SHARING>
     <TEMPLATE_SHARING_ROW>
      <SHARING_LEVEL>S</SHARING_LEVEL>
      <LEVEL_VALUE>Site</LEVEL_VALUE>
     </TEMPLATE_SHARING_ROW>
    </TEMPLATE_SHARING>
    <PARAMETER_EXCLUSION>
    </PARAMETER_EXCLUSION>
   </TEMPLATES_ROW>
  </TEMPLATES>
  <DEFAULT_TEMPLATES>
   <DEFAULT_TEMPLATES_ROW>
    <TEMPLATE_GUID>F780E4A6AEF5A37DA9C644761909C298</TEMPLATE_GUID>
   </DEFAULT_TEMPLATES_ROW>
  </DEFAULT_TEMPLATES>
  <UPLOAD_COLUMNS>
  </UPLOAD_COLUMNS>
  <UPLOAD_PARAMETERS>
  </UPLOAD_PARAMETERS>
  <UPLOAD_SQLS>
  </UPLOAD_SQLS>
 </REPORTS_ROW>
</REPORTS>
</ROOT>
