ENGINATICS SYSTEM_ADMINISTRATOR SYSADMIN 49A8B1A8037708ACE0530100007FEB91Y select &serial_columns x.*, &category_columns case when x.aging_days<=30 then '1. 0-30 Days' when x.aging_days<=60 then '2. 31-60 Days' when x.aging_days<=90 then '3. 61-90 Days' when x.aging_days<=180 then '4. 91-180 Days' when x.aging_days<=365 then '5. 181-365 Days' when x.aging_days>365 then '6. Over 365 Days' end "Aging Band", case when :p_show_trx_hist is null then null when nvl(x.stock_out_3m,0)<>0 then '1. Under 3 Months' when nvl(x.stock_out_6m,0)<>0 then '2. 3-6 Months' when nvl(x.stock_out_12m,0)<>0 then '3. 6-12 Months' when nvl(x.stock_out_24m,0)<>0 then '4. 12-24 Months' when nvl(x.stock_out_36m,0)<>0 then '5. 24-36 Months' else '6. No Issues in 36 Months' end "Last Issue Band", case when nvl(x.min_minmax_quantity,0)=0 and nvl(x.max_minmax_quantity,0)=0 then '4. No Min-Max Defined' when x.on_hand_org_sum<x.min_minmax_quantity then '1. Below Min' when x.max_minmax_quantity>0 and x.on_hand_org_sum>x.max_minmax_quantity then '3. Above Max' else '2. Within Min-Max' end "Min Max Status" from ( select distinct ood.organization_name, ood.organization_code, msi.secondary_inventory_name subinventory, msi.description subinventory_description, xxen_util.meaning(nvl(msi.subinventory_type, 1),'MTL_SUB_TYPES',700) subinventory_type, nvl(inv_project.get_locator(milk.inventory_location_id,milk.organization_id),milk.concatenated_segments) locator, xxen_util.meaning(milk.inventory_location_type,'MTL_LOCATOR_TYPES',700) locator_type, mmsv.status_code locator_status, msiv.concatenated_segments item, msiv.description item_description, to_char(msiv.creation_date,'DD-Mon-YYYY HH24:MI:SS') item_creation_date, xxen_util.meaning(msiv.item_type,'ITEM_TYPE',3) user_item_type, (select misv.inventory_item_status_code_tl from mtl_item_status_vl misv where msiv.inventory_item_status_code=misv.inventory_item_status_code) item_status, xxen_util.meaning(msiv.wip_supply_type,'WIP_SUPPLY',700) wip_supply_type, ( select listagg(mac.abc_class_name, ',') within group (order by mac.abc_class_name) from mtl_abc_classes mac where mac.organization_id=moqd.organization_id and exists ( select null from mtl_abc_assignments maa, mtl_abc_assignment_groups maag where 3=3 and maa.abc_class_id=mac.abc_class_id and maa.assignment_group_id=maag.assignment_group_id and maa.inventory_item_id=moqd.inventory_item_id ) ) abc_class_name, case when :category_set_1 is not null then ( select min(mcbk.concatenated_segments) keep (dense_rank first order by mic.category_id) from mtl_item_categories mic, mtl_categories_b_kfv mcbk where mic.category_set_id=(select mcsv.category_set_id from mtl_category_sets_vl mcsv where mcsv.category_set_name=:category_set_1) and moqd.organization_id=mic.organization_id and moqd.inventory_item_id=mic.inventory_item_id and mic.category_id=mcbk.category_id ) end "Category Set 1", case when :category_set_1 is not null then ( select min(mcb.segment1) keep (dense_rank first order by mic.category_id) from mtl_item_categories mic, mtl_categories_b mcb where mic.category_set_id=(select mcsv.category_set_id from mtl_category_sets_vl mcsv where mcsv.category_set_name=:category_set_1) and moqd.organization_id=mic.organization_id and moqd.inventory_item_id=mic.inventory_item_id and mic.category_id=mcb.category_id ) end "Category Set 1 Top Level", xxen_util.meaning(msiv.planning_make_buy_code,'MTL_PLANNING_MAKE_BUY',700) make_buy, moqd.revision, muomv.unit_of_measure_tl unit_of_measure, sum(moqd.primary_transaction_quantity) over (partition by moqd.organization_id, moqd.inventory_item_id, moqd.revision, moqd.lot_number, moqd.cost_group_id, moqd.subinventory_code, moqd.locator_id, moqd.lpn_id, moqd.project_id, moqd.task_id, moqd.owning_tp_type, moqd.owning_organization_id, moqd.planning_tp_type, moqd.planning_organization_id) on_hand, cic.cost_type, cic.item_cost, cic.material_cost, cic.material_overhead_cost, cic.outside_processing_cost, cic.resource_cost, cic.overhead_cost, round(sum(moqd.primary_transaction_quantity * nvl(cic.item_cost,0)) over (partition by moqd.organization_id, moqd.inventory_item_id, moqd.revision, moqd.lot_number, moqd.cost_group_id, moqd.subinventory_code, moqd.locator_id, moqd.lpn_id, moqd.project_id, moqd.task_id, moqd.owning_tp_type, moqd.owning_organization_id, moqd.planning_tp_type, moqd.planning_organization_id),2) on_hand_value, mr.reserved, sum(decode(moqd.containerized_flag,1,0,moqd.primary_transaction_quantity)) over (partition by moqd.organization_id, moqd.inventory_item_id, moqd.revision, moqd.lot_number, moqd.cost_group_id, moqd.subinventory_code, moqd.locator_id, moqd.lpn_id, moqd.project_id, moqd.task_id, moqd.owning_tp_type, moqd.owning_organization_id, moqd.planning_tp_type, moqd.planning_organization_id) unpacked, sum(decode(moqd.containerized_flag,1,moqd.primary_transaction_quantity,0)) over (partition by moqd.organization_id, moqd.inventory_item_id, moqd.revision, moqd.lot_number, moqd.cost_group_id, moqd.subinventory_code, moqd.locator_id, moqd.lpn_id, moqd.project_id, moqd.task_id, moqd.owning_tp_type, moqd.owning_organization_id, moqd.planning_tp_type, moqd.planning_organization_id) packed, wlpn.license_plate_number, moqd.lot_number, mln.expiration_date lot_expiration_date, ccg.cost_group, ppa.project_number project, pt.task_number task, xxen_util.meaning(moqd.owning_tp_type,'MTL_TP_TYPES',3) owning_tp_type, aps.vendor_name||nvl2(assa.vendor_site_code,'-',null)||assa.vendor_site_code owning_party, xxen_util.meaning(moqd.planning_tp_type,'MTL_TP_TYPES',3) planning_tp_type, decode(moqd.planning_tp_type,2,mp2.organization_code,1,assa2.vendor_site_code,moqd.planning_organization_id) planning_org, nvl(xxen_util.meaning(msiv.serial_number_control_code,'CSP_INV_ITEM_SERIAL_CONTROL',0),xxen_util.meaning(msiv.serial_number_control_code,'MTL_SERIAL_NUMBER',700)) serial_control, xxen_util.meaning(msiv.lot_control_code,'MTL_LOT_CONTROL',700) lot_control, xxen_util.meaning(msi.availability_type,'MTL_AVAILABILITY',700) availability_type, min(moqd.date_received) over (partition by moqd.organization_id, moqd.inventory_item_id, moqd.revision, moqd.lot_number, moqd.cost_group_id, moqd.subinventory_code, moqd.locator_id, moqd.lpn_id, moqd.project_id, moqd.task_id, moqd.owning_tp_type, moqd.owning_organization_id, moqd.planning_tp_type, moqd.planning_organization_id) date_received, trunc(sysdate)-trunc(min(moqd.date_received) over (partition by moqd.organization_id, moqd.inventory_item_id, moqd.revision, moqd.lot_number, moqd.cost_group_id, moqd.subinventory_code, moqd.locator_id, moqd.lpn_id, moqd.project_id, moqd.task_id, moqd.owning_tp_type, moqd.owning_organization_id, moqd.planning_tp_type, moqd.planning_organization_id)) aging_days, case when moqd.lpn_id is not null then min(moqd.date_received) over (partition by moqd.organization_id, moqd.subinventory_code, moqd.lpn_id) else null end lpn_subinventory_date, case when moqd.lpn_id is not null then trunc(sysdate)-trunc(min(moqd.date_received) over (partition by moqd.organization_id, moqd.subinventory_code, moqd.lpn_id)) else null end lpn_subinventory_aging_days, msiv.list_price_per_unit, msiv.min_minmax_quantity, msiv.max_minmax_quantity, (select distinct max(mss.safety_stock_quantity) keep (dense_rank last order by mss.effectivity_date) over (partition by mss.organization_id,mss.inventory_item_id) safety_stock from mtl_safety_stocks mss where moqd.organization_id=mss.organization_id and moqd.inventory_item_id=mss.inventory_item_id and mss.effectivity_date<=sysdate) safety_stock, moqd.inventory_item_id, moqd.organization_id, moqd.subinventory_code, &serial_keys sum(moqd.primary_transaction_quantity) over (partition by moqd.organization_id, moqd.inventory_item_id) on_hand_org_sum, sum(moqd.primary_transaction_quantity) over (partition by moqd.inventory_item_id) on_hand_sum, round(sum(moqd.primary_transaction_quantity * nvl(cic.item_cost,0)) over (partition by moqd.inventory_item_id),2) on_hand_value_sum, mmt.stock_out_3m, mmt.stock_out_6m, mmt.stock_out_12m, mmt.stock_out_24m, mmt.stock_out_36m, mmt.stock_in_3m, mmt.stock_in_6m, mmt.stock_in_12m, mmt.stock_in_24m, mmt.stock_in_36m, mmt.stock_mvmt_3m, mmt.stock_mvmt_6m, mmt.stock_mvmt_12m, mmt.stock_mvmt_24m, mmt.stock_mvmt_36m, mmt.stock_out_3m*nvl(cic.item_cost,0) value_out_3m, mmt.stock_out_6m*nvl(cic.item_cost,0) value_out_6m, mmt.stock_out_12m*nvl(cic.item_cost,0) value_out_12m, mmt.stock_out_24m*nvl(cic.item_cost,0) value_out_24m, mmt.stock_out_36m*nvl(cic.item_cost,0) value_out_36m, mmt.stock_in_3m*nvl(cic.item_cost,0) value_in_3m, mmt.stock_in_6m*nvl(cic.item_cost,0) value_in_6m, mmt.stock_in_12m*nvl(cic.item_cost,0) value_in_12m, mmt.stock_in_24m*nvl(cic.item_cost,0) value_in_24m, mmt.stock_in_36m*nvl(cic.item_cost,0) value_in_36m, mmt.stock_mvmt_3m*nvl(cic.item_cost,0) value_mvmt_3m, mmt.stock_mvmt_6m*nvl(cic.item_cost,0) value_mvmt_6m, mmt.stock_mvmt_12m*nvl(cic.item_cost,0) value_mvmt_12m, mmt.stock_mvmt_24m*nvl(cic.item_cost,0) value_mvmt_24m, mmt.stock_mvmt_36m*nvl(cic.item_cost,0) value_mvmt_36m from org_organization_definitions ood, mtl_onhand_quantities_detail moqd, mtl_secondary_inventories msi, mtl_item_locations_kfv milk, mtl_material_statuses_vl mmsv, wms_license_plate_numbers wlpn, mtl_system_items_vl msiv, mtl_units_of_measure_vl muomv, ap_supplier_sites_all assa, ap_suppliers aps, mtl_parameters mp2, ap_supplier_sites_all assa2, mtl_lot_numbers mln, cst_cost_groups ccg, ( 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, ( select distinct sum(mr.primary_reservation_quantity) over (partition by mr.inventory_item_id, mr.organization_id, mr.subinventory_code) reserved, mr.inventory_item_id, mr.organization_id, mr.subinventory_code from mtl_reservations mr ) mr, ( select sum(case when mmt.transaction_action_id in (1,21,3,32,34) and mmt.transaction_date>add_months(sysdate,-3) then nvl(mtln.primary_quantity,mmt.primary_quantity) end) stock_out_3m, sum(case when mmt.transaction_action_id in (1,21,3,32,34) and mmt.transaction_date>add_months(sysdate,-6) and mmt.transaction_date<=add_months(sysdate,-3) then nvl(mtln.primary_quantity,mmt.primary_quantity) end) stock_out_6m, sum(case when mmt.transaction_action_id in (1,21,3,32,34) and mmt.transaction_date>add_months(sysdate,-12) and mmt.transaction_date<=add_months(sysdate,-6) then nvl(mtln.primary_quantity,mmt.primary_quantity) end) stock_out_12m, sum(case when mmt.transaction_action_id in (1,21,3,32,34) and mmt.transaction_date>add_months(sysdate,-24) and mmt.transaction_date<=add_months(sysdate,-12) then nvl(mtln.primary_quantity,mmt.primary_quantity) end) stock_out_24m, sum(case when mmt.transaction_action_id in (1,21,3,32,34) and mmt.transaction_date>add_months(sysdate,-36) and mmt.transaction_date<=add_months(sysdate,-24) then nvl(mtln.primary_quantity,mmt.primary_quantity) end) stock_out_36m, sum(case when mmt.transaction_action_id in (27,12,31,33) and mmt.transaction_date>add_months(sysdate,-3) then nvl(mtln.primary_quantity,mmt.primary_quantity) end) stock_in_3m, sum(case when mmt.transaction_action_id in (27,12,31,33) and mmt.transaction_date>add_months(sysdate,-6) and mmt.transaction_date<=add_months(sysdate,-3) then nvl(mtln.primary_quantity,mmt.primary_quantity) end) stock_in_6m, sum(case when mmt.transaction_action_id in (27,12,31,33) and mmt.transaction_date>add_months(sysdate,-12) and mmt.transaction_date<=add_months(sysdate,-6) then nvl(mtln.primary_quantity,mmt.primary_quantity) end) stock_in_12m, sum(case when mmt.transaction_action_id in (27,12,31,33) and mmt.transaction_date>add_months(sysdate,-24) and mmt.transaction_date<=add_months(sysdate,-12) then nvl(mtln.primary_quantity,mmt.primary_quantity) end) stock_in_24m, sum(case when mmt.transaction_action_id in (27,12,31,33) and mmt.transaction_date>add_months(sysdate,-36) and mmt.transaction_date<=add_months(sysdate,-24) then nvl(mtln.primary_quantity,mmt.primary_quantity) end) stock_in_36m, sum(case when mmt.transaction_date>add_months(sysdate,-3) then nvl(mtln.primary_quantity,mmt.primary_quantity) end) stock_mvmt_3m, sum(case when mmt.transaction_date>add_months(sysdate,-6) and mmt.transaction_date<=add_months(sysdate,-3) then nvl(mtln.primary_quantity,mmt.primary_quantity) end) stock_mvmt_6m, sum(case when mmt.transaction_date>add_months(sysdate,-12) and mmt.transaction_date<=add_months(sysdate,-6) then nvl(mtln.primary_quantity,mmt.primary_quantity) end) stock_mvmt_12m, sum(case when mmt.transaction_date>add_months(sysdate,-24) and mmt.transaction_date<=add_months(sysdate,-12) then nvl(mtln.primary_quantity,mmt.primary_quantity) end) stock_mvmt_24m, sum(case when mmt.transaction_date>add_months(sysdate,-36) and mmt.transaction_date<=add_months(sysdate,-24) then nvl(mtln.primary_quantity,mmt.primary_quantity) end) stock_mvmt_36m, mmt.inventory_item_id, mmt.organization_id, mmt.subinventory_code, mmt.revision, mmt.cost_group_id, mmt.locator_id, case when nvl(mmt.lpn_id,-1)<>nvl(wmpn.lpn_id,-1) then null else mmt.lpn_id end lpn_id, mmt.project_id, mmt.task_id, mmt.owning_tp_type, mmt.owning_organization_id, mmt.planning_tp_type, mmt.planning_organization_id, mtln.lot_number from mtl_material_transactions mmt, mtl_transaction_lot_numbers mtln, wms_license_plate_numbers wmpn, mtl_parameters mp where 2=2 and :p_show_trx_hist is not null and mmt.transaction_id=mtln.transaction_id(+) and mmt.lpn_id= wmpn.lpn_id(+) and mmt.transaction_action_id in (1,21,27,12,31,33,3,32,34) and mp.organization_id=mmt.organization_id and case when :p_txn_date_from is not null and mmt.transaction_date > :p_txn_date_from and mmt.transaction_date <=trunc(sysdate) then 1 when :p_txn_date_from is null and mmt.transaction_date>add_months(sysdate,-36) then 1 end=1 group by mmt.inventory_item_id, mmt.organization_id, mmt.subinventory_code, mmt.revision, mmt.cost_group_id, mmt.locator_id, case when nvl(mmt.lpn_id,-1)<>nvl(wmpn.lpn_id,-1) then null else mmt.lpn_id end, mmt.project_id, mmt.task_id, mmt.owning_tp_type, mmt.owning_organization_id, mmt.planning_tp_type, mmt.planning_organization_id, mtln.lot_number ) mmt, ( select cic.organization_id, cic.inventory_item_id, cct.cost_type, cic.item_cost, cic.material_cost, cic.material_overhead_cost, cic.outside_processing_cost, cic.resource_cost, cic.overhead_cost from mtl_parameters mp, cst_cost_types cct, cst_item_costs cic where cic.organization_id=mp.organization_id and cic.cost_type_id=mp.primary_cost_method and cic.cost_type_id=cct.cost_type_id ) cic where 1=1 and ood.organization_code in (select ood.organization_code from org_organization_definitions ood where ood.organization_id in (select xroa.id from xxen_report_org_access xroa where xroa.access_type='INV')) and ood.organization_id=moqd.organization_id and moqd.organization_id=msi.organization_id(+) and moqd.subinventory_code=msi.secondary_inventory_name(+) and moqd.organization_id=milk.organization_id(+) and moqd.locator_id=milk.inventory_location_id(+) and milk.status_id=mmsv.status_id(+) and moqd.lpn_id=wlpn.lpn_id(+) and moqd.organization_id=msiv.organization_id and moqd.inventory_item_id=msiv.inventory_item_id and msiv.primary_uom_code=muomv.uom_code(+) and decode(moqd.owning_tp_type,1,moqd.owning_organization_id)=assa.vendor_site_id(+) and assa.vendor_id=aps.vendor_id(+) and decode(moqd.planning_tp_type,2,moqd.planning_organization_id)=mp2.organization_id(+) and decode(moqd.planning_tp_type,1,moqd.planning_organization_id)=assa2.vendor_site_id(+) and moqd.inventory_item_id=mln.inventory_item_id(+) and moqd.organization_id=mln.organization_id(+) and moqd.lot_number=mln.lot_number(+) and moqd.cost_group_id=ccg.cost_group_id(+) and moqd.project_id=ppa.project_id(+) and moqd.task_id=pt.task_id(+) and moqd.inventory_item_id=mr.inventory_item_id(+) and moqd.organization_id=mr.organization_id(+) and moqd.subinventory_code=mr.subinventory_code(+) and moqd.inventory_item_id=mmt.inventory_item_id(+) and moqd.organization_id=mmt.organization_id(+) and moqd.subinventory_code=mmt.subinventory_code(+) and moqd.cost_group_id=nvl(mmt.cost_group_id(+),-1) and nvl(moqd.revision,-1)= nvl(mmt.revision(+),-1) and nvl(moqd.lot_number,'?')=nvl(mmt.lot_number(+),'?') and nvl(moqd.locator_id,-1)=nvl(mmt.locator_id(+),-1) and nvl(moqd.lpn_id,-1)=nvl(mmt.lpn_id(+),-1) and nvl(moqd.project_id,-1)=nvl(mmt.project_id(+),-1) and nvl(moqd.task_id,-1)=nvl(mmt.task_id(+),-1) and nvl(moqd.owning_tp_type,-1)=nvl(mmt.owning_tp_type(+),-1) and nvl(moqd.owning_organization_id,-1)=nvl(mmt.owning_organization_id(+),-1) and nvl(moqd.planning_tp_type,-1)=nvl(mmt.planning_tp_type(+),-1) and nvl(moqd.planning_organization_id,-1)=nvl(mmt.planning_organization_id(+),-1) and moqd.organization_id=cic.organization_id(+)and moqd.inventory_item_id=cic.inventory_item_id(+) ) x &serial_from where 4=4 order by x.organization_code, x.on_hand_sum desc, x.item, x.on_hand desc &serial_order Organization security from the Blitz Report organization access, which follows profiles Blitz Report Organization Access All Responsibilities, Blitz Report Use Operating Unit Security and Blitz Report Use Ledger Security. AR INV Onhand Quantities تقرير تفصيلي عن كميات صنف المخزون حسب المؤسسة ، والمخزون الفرعي ، والموقع ، ووحدة القياس ، والكمية المتوفرة ، والكمية المحجوزة ، والكمية غير المعبأة ، ورقم الدفعة ، وانتهاء الصلاحية ، ومعلومات التخطيط ، والتحكم التسلسلي ، ونوع التوفر ، وتاريخ الاستلام ، وسعر القائمة ، والحد الأدنى / ماكس ومخزون السلامة. D INV Onhand Quantities Detailbericht Lagerartikelmengen nach Org, Unterlager, Standort, Mengeneinheit, vorrätiger Menge, reservierter Menge, unverpackter Menge, Chargennummer, Chargenverfall, Planungsinformationen, Serienkontrolle, Verfügbarkeitsart, Eingangsdatum, Listenpreis, min / max und Sicherheitsbestand. E INV Onhand Quantities Informe detallado de las cantidades de los artículos del inventario por organización, subinventario, ubicación, unidad de medida, cantidad disponible, cantidad reservada, cantidad desembalada, número de lote, caducidad del lote, información de planificación, control de serie, tipo de disponibilidad, fecha de recepción, precio de lista, mínimo/máximo y stock de seguridad. F INV Onhand Quantities Rapport détaillé des quantités d'articles en stock par org, sous-stock, emplacement, unité de mesure, quantité en stock, quantité réservée, quantité déballée, numéro de lot, expiration du lot, informations de planification, contrôle des séries, type de disponibilité, date de réception, prix de liste, min/max et stock de sécurité. I INV Onhand Quantities Rapporto dettagliato delle quantità degli articoli d'inventario per org, sotto inventario, posizione, unità di misura, quantità a portata di mano, quantità riservata, quantità non imballata, numero di lotto, scadenza del lotto, informazioni di pianificazione, controllo seriale, tipo di disponibilità, data ricevuta, prezzo di listino, min / max e stock di sicurezza. JA INV Onhand Quantities 詳細レポートの在庫項目の組織別の数量、サブ在庫、場所、測定単位、手元の数量、予約数量、未開梱数量、ロット番号、ロットの有効期限、計画情報、シリアルコントロール、可用性のタイプ、受信日、リスト価格、最小/最大と安全在庫を報告します。 KO INV Onhand Quantities 조직 별 재고 품목 수량, 하위 재고, 위치, UOM, 현재 고 수량, 예약 수량, 포장 해제 된 수량, 로트 번호, 로트 만료, 계획 정보, 일련 번호 관리, 가용성 유형, 입고 날짜, 정가, 최소 / 최대 및 안전 재고. PTB INV Onhand Quantities Detalhar quantidades de itens de inventário por org, sub-estoque, localização, unidade de medida, quantidade em caixa, quantidade reservada, quantidade desempacotada, número do lote, vencimento do lote, informações de planejamento, controle de série, tipo de disponibilidade, data de recebimento, preço de lista, min/max e estoque de segurança. RU INV Onhand Quantities Подробный отчет инвентаризационные количества изделий по оргкомитету, подкатегории, расположение, единицы измерения, количество на руках, количество зарезервировано, количество неупакованных, номер партии, истечение срока действия партии, информация для планирования, серийный контроль, тип наличия, дата получения, цена списка, мин / макс и безопасности запас. S INV Onhand Quantities Detaljrapport inventering kvantiteter efter organisation, underinventering, plats, måttenhet, kvantitet till hands, reserverad kvantitet, kvantitet uppackad, partinummer, partiets utgång, planeringsinformation, seriekontroll, tillgänglighetstyp, mottaget datum, listpris, min / max och säkerhetslager. TR INV Onhand Quantities Ayrıntılı rapor envanter kalemi miktarları org, alt envanter, konum, ölçü birimi, eldeki miktar, ayrılan miktar, paketlenmemiş miktar, lot numarası, lot son kullanma tarihi, planlama bilgileri, seri kontrol, kullanılabilirlik türü, alınan tarih, liste fiyatı, min / max ve emniyet stoğu. US INV Onhand Quantities Detail report inventory item quantities by org, sub inventory, location, unit of measure, quantity on hand, quantity reserved, quantity unpacked, lot number, lot expiration, planning information, serial control, availability type, date received, list price, min / max and safety stock. Show Serial Numbers adds one row per serial number resident in the on-hand location; the quantity and value columns are those of the location and repeat on every serial row. ZHS INV Onhand Quantities 按组织、子库存、地点、计量单位、库存数量、保留数量、未包装数量、批号、批号到期、计划信息、序列控制、供应类型、收货日期、清单价格、最小/最大和安全库存详细报告库存项目数量。 Enginatics &category_columns &serial_columns &serial_from &serial_keys &serial_order 1=1 2=2 3=3 4=4 :category_set_1 :p_show_trx_hist :p_txn_date_from 1 -10 1=1 (moqd.organization_id,moqd.inventory_item_id) in ( select distinct xxen_util.instring(dbms_lob.substr(xrrpv.value),'|',1) organization_id, xxen_util.instring(dbms_lob.substr(xrrpv.value),'|',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='organization_id|inventory_item_id') and xrrpv.run_id=:run_id ) Char F organisation_id|inventory_item_id US organization_id|inventory_item_id 2 10 1=1 ood.organization_code=:organization_code LOV INV Organization Code 8E2FF36EDEB279D2E0530100007F1FF2 select ood.organization_code value, ood.organization_name||' ('||ftv.territory_short_name||', '||hla.town_or_city||decode(mp.organization_id,mp.master_organization_id,null,', '||mp0.organization_code)||')' 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<>mp.master_organization_id and ( ood.organization_id in (select xroa.id from xxen_report_org_access xroa where xroa.access_type='INV') or not exists (select null from xxen_report_org_access xroa where xroa.access_type='INV') and ood.operating_unit in (select xroa.id from xxen_report_org_access xroa where xroa.access_type='OU') ) 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)='Y')) 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)='Y')) and nvl(ood.disable_date,sysdate)>=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 select mp.organization_code from mtl_parameters mp where mp.organization_id=fnd_profile.value('MFG_ORGANIZATION_ID') F Code de l'organisation US Organization Code 3 2=2 mp.organization_code=:organization_code US Organization Code 4 20 1=1 msi.secondary_inventory_name=:secondary_inventory_name LOV INV Subinventory 8E2FF36EDF2A79D2E0530100007F1FF2 select msi.secondary_inventory_name value, msi.description||' ('||mp.organization_code||')' description from mtl_parameters mp, mtl_secondary_inventories msi where ( :$flex$.organization_code is null and ( fnd_profile.value('MFG_ORGANIZATION_ID') is null and msi.organization_id in (select xroa.id from xxen_report_org_access xroa where xroa.access_type='INV') or msi.organization_id=fnd_profile.value('MFG_ORGANIZATION_ID') ) or xxen_util.contains(:$flex$.organization_code,mp.organization_code)='Y' or xxen_util.contains(:$flex$.organization_code,mp.organization_id)='Y' ) and mp.organization_id=msi.organization_id order by mp.organization_code, msi.secondary_inventory_name F Sous-inventaire US Subinventory 5 2=2 mmt.subinventory_code=:secondary_inventory_name US Subinventory 6 30 1=1 msiv.concatenated_segments=:item LOV INV Item (master) 8E2FF36EDEF379D2E0530100007F1FF2 select msiv.concatenated_segments value, msiv.description from mtl_system_items_vl msiv where msiv.organization_id=( select max(mp.master_organization_id) master_organization_id from mtl_parameters mp where mp.organization_id=fnd_profile.value('MFG_ORGANIZATION_ID') or fnd_profile.value('MFG_ORGANIZATION_ID') is null and mp.organization_id in (select xroa.id from xxen_report_org_access xroa where xroa.access_type='INV') ) order by msiv.concatenated_segments F Article US Item 7 2=2 mmt.inventory_item_id in (select inventory_item_id from mtl_system_items_vl msiv where msiv.concatenated_segments=:item and rownum=1) US Item 8 40 &category_columns select xxen_util.item_category_columns(p_category_set_name=>'<parameter_value>', p_table_alias=>'x') sql_text from dual LOV INV Category Set 8E2FF36EDECA79D2E0530100007F1FF2 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)='Y' and mp.organization_id=mic.organization_id) order by mcsv.category_set_name 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)) F Ensemble de la catégorie US Category Set 1 9 :category_set_1 US Category Set 1 10 50 &category_columns select xxen_util.item_category_columns(p_category_set_name=>'<parameter_value>', p_table_alias=>'x') sql_text from dual LOV INV Category Set 8E2FF36EDECA79D2E0530100007F1FF2 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)='Y' and mp.organization_id=mic.organization_id) order by mcsv.category_set_name 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)) F Catégorie de US Category Set 2 11 60 &category_columns select xxen_util.item_category_columns(p_category_set_name=>'<parameter_value>', p_table_alias=>'x') sql_text from dual LOV INV Category Set 8E2FF36EDECA79D2E0530100007F1FF2 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)='Y' and mp.organization_id=mic.organization_id) order by mcsv.category_set_name xxen_util.previous_parameter_value(:parameter_id) F Catégorie à US Category Set 3 12 100 1=1 msi.availability_type=1 LOV Yes 8E2FF36EDEA679D2E0530100007F1FF2 select 'Y' id, xxen_util.meaning('Y','YES_NO',0) value, null description from dual F Nettable uniquement US Nettable only 13 110 :p_show_trx_hist LOV Yes 8E2FF36EDEA679D2E0530100007F1FF2 select 'Y' id, xxen_util.meaning('Y','YES_NO',0) value, null description from dual F Afficher le résumé des mouvements US Show Movements Summary 14 120 :p_txn_date_from Date US Txn Date From 15 130 3=3 maag.assignment_group_id=:group_id LOV Oracle INV_SRS_ABC_GROUP_HDR select assignment_group_id id, assignment_group_name value, null description from mtl_abc_assignment_groups where organization_id=fnd_profile.value('MFG_ORGANIZATION_ID') order by assignment_group_name US ABC Assignment Group 16 140 &serial_columns msn.serial_number, LOV Yes 8E2FF36EDEA679D2E0530100007F1FF2 select 'Y' id, xxen_util.meaning('Y','YES_NO',0) value, null description from dual Y US Show Serial Numbers 17 &serial_from , mtl_serial_numbers msn Y US Show Serial Numbers 18 &serial_keys moqd.locator_id, moqd.lpn_id, Y US Show Serial Numbers 19 &serial_order , msn.serial_number Y US Show Serial Numbers 20 4=4 x.inventory_item_id=msn.inventory_item_id(+) and x.organization_id=msn.current_organization_id(+) and x.subinventory_code=msn.current_subinventory_code(+) and nvl(x.locator_id,-1)=nvl(msn.current_locator_id(+),-1) and nvl(x.lot_number,'?')=nvl(msn.lot_number(+),'?') and nvl(x.revision,'?')=nvl(msn.revision(+),'?') and nvl(x.lpn_id,-1)=nvl(msn.lpn_id(+),-1) and msn.current_status(+)=3 Y US Show Serial Numbers DF1D2332853B26B018B6788B644B8D41 Dashboard - Onhand Value and Aging KPIs On hand value KPIs with aging, coverage and min-max analysis. The Item filter and every slicer drive the headline cards as well as the charts. SYSADMIN 15 ABC_CLASS_NAME 50 AGING_DAYS 48 AVAILABILITY_TYPE 16 Aging Band 39 COST_GROUP 25 COST_TYPE 20 Category Set 1 19 Category Set 1 Top Level 49 DATE_RECEIVED 57 INVENTORY_ITEM_ID 9 ITEM 26 ITEM_COST 11 ITEM_CREATION_DATE 10 ITEM_DESCRIPTION 13 ITEM_STATUS 36 LICENSE_PLATE_NUMBER 53 LIST_PRICE_PER_UNIT 6 LOCATOR 8 LOCATOR_STATUS 7 LOCATOR_TYPE 47 LOT_CONTROL 38 LOT_EXPIRATION_DATE 37 LOT_NUMBER 52 LPN_SUBINVENTORY_AGING_DAYS 51 LPN_SUBINVENTORY_DATE 17 Last Issue Band 21 MAKE_BUY 27 MATERIAL_COST 28 MATERIAL_OVERHEAD_COST 55 MAX_MINMAX_QUANTITY 54 MIN_MINMAX_QUANTITY 18 Min Max Status 24 ON_HAND 60 ON_HAND_ORG_SUM 61 ON_HAND_SUM 32 ON_HAND_VALUE 62 ON_HAND_VALUE_SUM 2 ORGANIZATION_CODE 58 ORGANIZATION_ID 1 ORGANIZATION_NAME 29 OUTSIDE_PROCESSING_COST 31 OVERHEAD_COST 43 OWNING_PARTY 42 OWNING_TP_TYPE 35 PACKED 45 PLANNING_ORG 44 PLANNING_TP_TYPE 40 PROJECT 33 RESERVED 30 RESOURCE_COST 22 REVISION 56 SAFETY_STOCK 46 SERIAL_CONTROL 70 STOCK_IN_12M 71 STOCK_IN_24M 72 STOCK_IN_36M 68 STOCK_IN_3M 69 STOCK_IN_6M 75 STOCK_MVMT_12M 76 STOCK_MVMT_24M 77 STOCK_MVMT_36M 73 STOCK_MVMT_3M 74 STOCK_MVMT_6M 65 STOCK_OUT_12M 66 STOCK_OUT_24M 67 STOCK_OUT_36M 63 STOCK_OUT_3M 64 STOCK_OUT_6M 3 SUBINVENTORY 59 SUBINVENTORY_CODE 4 SUBINVENTORY_DESCRIPTION 5 SUBINVENTORY_TYPE 41 TASK 23 UNIT_OF_MEASURE 34 UNPACKED 12 USER_ITEM_TYPE 85 VALUE_IN_12M 86 VALUE_IN_24M 87 VALUE_IN_36M 83 VALUE_IN_3M 84 VALUE_IN_6M 90 VALUE_MVMT_12M 91 VALUE_MVMT_24M 92 VALUE_MVMT_36M 88 VALUE_MVMT_3M 89 VALUE_MVMT_6M 80 VALUE_OUT_12M 81 VALUE_OUT_24M 82 VALUE_OUT_36M 78 VALUE_OUT_3M 79 VALUE_OUT_6M 14 WIP_SUPPLY_TYPE Category Set 1 ROW 7 Category Set 1 Top Level ROW 6 ITEM ROW 3 ITEM_COST VALUE 10 SUM ITEM_DESCRIPTION ROW 4 MAKE_BUY ROW 5 ON_HAND VALUE 1 SUM ON_HAND_VALUE VALUE 11 SUM ORGANIZATION_CODE ROW 1 PACKED VALUE 4 SUM RESERVED VALUE 2 SUM STOCK_MVMT_12M VALUE 7 SUM STOCK_MVMT_24M VALUE 8 SUM STOCK_MVMT_36M VALUE 9 SUM STOCK_MVMT_3M VALUE 5 SUM STOCK_MVMT_6M VALUE 6 SUM SUBINVENTORY ROW 2 UNPACKED VALUE 3 SUM VALUE_MVMT_12M VALUE 14 SUM VALUE_MVMT_24M VALUE 15 SUM VALUE_MVMT_36M VALUE 16 SUM VALUE_MVMT_3M VALUE 12 SUM VALUE_MVMT_6M VALUE 13 SUM INV_Onhand_Dashboard_v4.xlsx US 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No Issues in 36 Months 29 4. No Min-Max Defined 30 Value 31 Aging Band 32 Stock Lines 33 In 3m 34 In 6m 35 In 12m 36 In 24m 37 In 36m 38 Out 3m 39 Out 6m 40 Out 12m 41 Out 24m 42 Out 36m 43 Receipts 44 Issues 45 KValue 46 KLines 47 KOut12 48 6. Over 365 Days 49 0-3 Months 50 3-6 Months 51 Grand Total 52 6-12 Months 53 12-24 Months 54 24-36 Months Show Movements Summary Y data A1 1 data AA 5 data AA1 1 data AB1 1 data AC1 1 data AD1 1 data AE1 1 data AF1 1 data AG1 1 data AH1 1 data AI1 1 data AJ1 1 data AK1 1 data AL 19 data AL1 1 data AM1 1 data AN1 1 data AO1 1 data AP1 1 data AQ1 1 data AR1 1 data AS1 1 data AT1 1 data AU1 1 data AV1 1 data AW 19 data AW1 1 data AX1 1 data AY 19 data AY1 1 data AZ1 1 data B1 1 data BA1 1 data BB1 1 data BC1 1 data BD1 1 data BE1 1 data BF1 1 data BG1 1 data BH1 1 data BI1 1 data BJ1 1 data BK1 1 data BL1 1 data BM1 1 data BN1 1 data BO1 1 data BP1 1 data BQ1 1 data BR1 1 data BS1 1 data BT1 1 data BU1 1 data BV1 1 data BW1 1 data BX1 1 data BY1 1 data BZ1 1 data C1 1 data CA1 1 data CB1 1 data CC1 1 data CD1 1 data CE1 1 data CF1 1 data CG1 1 data CH1 1 data CI1 1 data CJ1 1 data CK1 1 data CL1 1 data CM1 1 data CN1 1 data D1 1 data E1 1 data F1 1 data G1 1 data H1 1 data I1 1 data J1 1 data K1 1 data L1 1 data M1 1 data N1 1 data O1 1 data P1 1 data Q1 1 data R 3 data R1 1 data S1 1 data T1 1 data U1 1 data V1 1 data W1 1 data X 6 data X1 1 data Y1 1 data Z 4 data Z1 1 parameter A1 1 parameter A10 1 parameter A11 7 parameter A12 1 parameter A13 1 parameter A14 1 parameter A15 1 parameter A16 7 parameter A17 7 parameter A18 7 parameter A19 7 parameter A2 1 parameter A20 7 parameter A21 7 parameter A22 7 parameter A23 7 parameter A24 7 parameter A25 7 parameter A26 7 parameter A27 7 parameter A28 7 parameter A29 7 parameter A3 1 parameter A30 7 parameter A31 7 parameter A32 7 parameter A33 7 parameter A34 7 parameter A35 7 parameter A36 7 parameter A37 7 parameter A38 7 parameter A39 7 parameter A4 1 parameter A40 7 parameter A5 1 parameter A6 1 parameter A7 1 parameter A8 1 parameter A9 1 parameter B2 17 parameter B3 2 parameter B4 17 S Site Show Serial Numbers 5A3D098F0DDB14CEE0630100007F500C Dashboard - Onhand and Stock Movements Dashboard - Onhand and Stock Movements by Organization, Subinventory, Item Category, Make/Buy ERIC.CLEGG 15 ABC_CLASS_NAME 50 AGING_DAYS 48 AVAILABILITY_TYPE 16 Aging Band 39 COST_GROUP 25 COST_TYPE 20 Category Set 1 19 Category Set 1 Top Level 49 DATE_RECEIVED 57 INVENTORY_ITEM_ID 9 ITEM 26 ITEM_COST 11 ITEM_CREATION_DATE 10 ITEM_DESCRIPTION 13 ITEM_STATUS 36 LICENSE_PLATE_NUMBER 53 LIST_PRICE_PER_UNIT 6 LOCATOR 8 LOCATOR_STATUS 7 LOCATOR_TYPE 47 LOT_CONTROL 38 LOT_EXPIRATION_DATE 37 LOT_NUMBER 52 LPN_SUBINVENTORY_AGING_DAYS 51 LPN_SUBINVENTORY_DATE 17 Last Issue Band 21 MAKE_BUY 27 MATERIAL_COST 28 MATERIAL_OVERHEAD_COST 55 MAX_MINMAX_QUANTITY 54 MIN_MINMAX_QUANTITY 18 Min Max Status 24 ON_HAND 60 ON_HAND_ORG_SUM 61 ON_HAND_SUM 32 ON_HAND_VALUE 62 ON_HAND_VALUE_SUM 2 ORGANIZATION_CODE 58 ORGANIZATION_ID 1 ORGANIZATION_NAME 29 OUTSIDE_PROCESSING_COST 31 OVERHEAD_COST 43 OWNING_PARTY 42 OWNING_TP_TYPE 35 PACKED 45 PLANNING_ORG 44 PLANNING_TP_TYPE 40 PROJECT 33 RESERVED 30 RESOURCE_COST 22 REVISION 56 SAFETY_STOCK 46 SERIAL_CONTROL 70 STOCK_IN_12M 71 STOCK_IN_24M 72 STOCK_IN_36M 68 STOCK_IN_3M 69 STOCK_IN_6M 75 STOCK_MVMT_12M 76 STOCK_MVMT_24M 77 STOCK_MVMT_36M 73 STOCK_MVMT_3M 74 STOCK_MVMT_6M 65 STOCK_OUT_12M 66 STOCK_OUT_24M 67 STOCK_OUT_36M 63 STOCK_OUT_3M 64 STOCK_OUT_6M 3 SUBINVENTORY 59 SUBINVENTORY_CODE 4 SUBINVENTORY_DESCRIPTION 5 SUBINVENTORY_TYPE 41 TASK 23 UNIT_OF_MEASURE 34 UNPACKED 12 USER_ITEM_TYPE 85 VALUE_IN_12M 86 VALUE_IN_24M 87 VALUE_IN_36M 83 VALUE_IN_3M 84 VALUE_IN_6M 90 VALUE_MVMT_12M 91 VALUE_MVMT_24M 92 VALUE_MVMT_36M 88 VALUE_MVMT_3M 89 VALUE_MVMT_6M 80 VALUE_OUT_12M 81 VALUE_OUT_24M 82 VALUE_OUT_36M 78 VALUE_OUT_3M 79 VALUE_OUT_6M 14 WIP_SUPPLY_TYPE Category Set 1 ROW 7 Category Set 1 Top Level ROW 6 ITEM ROW 3 ITEM_COST VALUE 10 SUM ITEM_DESCRIPTION ROW 4 MAKE_BUY ROW 5 ON_HAND VALUE 1 SUM ON_HAND_VALUE VALUE 11 SUM ORGANIZATION_CODE ROW 1 PACKED VALUE 4 SUM RESERVED VALUE 2 SUM STOCK_MVMT_12M VALUE 7 SUM STOCK_MVMT_24M VALUE 8 SUM STOCK_MVMT_36M VALUE 9 SUM STOCK_MVMT_3M VALUE 5 SUM STOCK_MVMT_6M VALUE 6 SUM SUBINVENTORY ROW 2 UNPACKED VALUE 3 SUM VALUE_MVMT_12M VALUE 14 SUM VALUE_MVMT_24M VALUE 15 SUM VALUE_MVMT_36M VALUE 16 SUM VALUE_MVMT_3M VALUE 12 SUM VALUE_MVMT_6M VALUE 13 SUM INV Onhand Quantities - Dashboard - Onhand and Stock Movements - Template - 20260901.xlsx US 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80597DF65E7889A40F4BDF66B1079634 Dashboard based on Organization,Subinventory and Item ENGINATICS 29 AVAILABILITY_TYPE 20 COST_GROUP 30 DATE_RECEIVED 35 INVENTORY_ITEM_ID 8 ITEM 9 ITEM_DESCRIPTION 10 ITEM_STATUS 17 LICENSE_PLATE_NUMBER 31 LIST_PRICE_PER_UNIT 5 LOCATOR 7 LOCATOR_STATUS 6 LOCATOR_TYPE 28 LOT_CONTROL 19 LOT_EXPIRATION_DATE 18 LOT_NUMBER 33 MAX_MINMAX_QUANTITY 32 MIN_MINMAX_QUANTITY 13 ON_HAND 38 ON_HAND_SUM 2 ORGANIZATION_CODE 36 ORGANIZATION_ID 1 ORGANIZATION_NAME 24 OWNING_PARTY 23 OWNING_TP_TYPE 16 PACKED 26 PLANNING_ORG 25 PLANNING_TP_TYPE 21 PROJECT 14 RESERVED 11 REVISION 34 SAFETY_STOCK 27 SERIAL_CONTROL 3 SUBINVENTORY 37 SUBINVENTORY_CODE 4 SUBINVENTORY_TYPE 22 TASK 12 UNIT_OF_MEASURE 15 UNPACKED ITEM ROW 3 ON_HAND VALUE 1 SUM ORGANIZATION_CODE ROW 1 PACKED VALUE 4 SUM RESERVED VALUE 2 SUM SUBINVENTORY ROW 2 UNPACKED VALUE 3 SUM INV Onhand Quantities - Dashboard based on Organization,Subinventory and Item Template.xlsx US 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 knFAR53a8RR2pIHoaHk7voeOfklH376jL9fZlyOq3NG377x/7acysuwYNbf8Qp11FM9xx73e+RTSu+rpK/fU4D2/RW+flie2e6AQTXmNnnVzvVMo/prENXp+i95amd5r5zpV2ouOacaOmqtzxsp5Fp9NR6zUci1RiZa4Rkv8oaOv3LmS2NaJEWBnbe8qU9r5ljhM66SRv7EJ/Zy1esBHZN0y4+6O77c3JsYYp7emJRZEFh5RKcrTbuVgNtoJjTZCTWheL4VIDUuNGWn0LNJTHEcgw5Xkjl6SdH7Do8iO2dTQ7NTc2gwcopxAKStyagW/LCg4yb7FmIoNkI1UbSPUvpE6a/gG9VYapqelOBt2FLG1uiYhoTQsYVQjrqz7bmjyW7l1NbUgKyVyQAbouWbRjDBjBhSOldi/GttPeYXmgcoXMVu6MIpBRkXjWdF9rOj0VHTlK6rbisFARbe/onte0UEKxmepXDp/FQ0MO6oi9va6rEOlQ1cxxK2sjRhOVHTzKrqwFUOliqBqRceromtR0bWoGCoxUef+ClYwRC2kWEmZTaf3WejbuFyIrf8pS1nmij0EFSuvK1ZcVIxnrJtq30t0paa3XD9QESg8tLbRZM9Qzf6immVjNAapphdeEwesGSHXzKfW3Lw1/cyaUU7tgkkqyZpOSc1Iq5ZRbdmVQFZNBVQd/dFCrmMSeTzQsiTrp8048JzqIvO7TO82+iqNQg3mgQmRBIQqllPt4sH8mTr4g1DVQaD1oHjEaffI2ihZ4Vp3WjdXkifZEEZEg1IKrY0YkZxEA51coU7zmmxIuVv3kyVAUU8zmBjruTb8bnG4+QIbO0Nk3qYiZs95o/fUaP/VCvPoJA5yyAftqUFPP8jKD9p8A9V6Q4CyIShWu9TBJJsuBGFSrVbKhmFeqpR/G9hJ5aYNZlsK0TMyyEQdpJTAQGRlIDo5eDACUZiB2diBr3FgTmMwLyorURqu0DA2bpgJpQ/VKNpoHtAjersN303Dd95QHTekyXEU5CIofrQYZqPIRsBtT9+woZlo3FxBvTkoPGsUPbi2pXYFFE9Po71kp4y8IYkUJb3Dzgf8QlmUhgZUWmVgHRmpRBJBvYAfGP/TVjayaQ0j3GRYgce/ocPbsLDAx4z8xIkNenGVXRfupqKyKSyEIGFPKtyOxaV3dBIZOZBdLZEJKK4iBhvYRC3HvWGAWx7YeKa8VsufoxzWjTSMDMk9Gb1u+rw1swrkAEv1A1uBtdY86+Toi349VeCQtSu+mepcSMWYane+OeqlJiatVGxdP4NbBDVnhohN7cSGtQiRq8IVyGPV2OcnZEkWr56lviRMjI2j9AyZuGKbsmHdmoXagtSWsXGUumqYYiJ7YEOrXNO/qv2B6V+RMTR0MV8D/cFC3UCC0Hi9smokKHUJBhkLG0aFDVEcOompEczM8ndW4zaEAQjONrxKQr6eyeuKr5CeWGIOKa6yyJ1gGqGYSE7QPTJIx0QsuR/5FVLzgMCaUiK13/ixVKXREDq0J0Xyy3hYBhZat2He2lcLPTx+BWYow7tim63HBvCYR70tUSno1oGBNrMz5EyPGkiNUdO2bbRrefIboWqNgrCGA9sUVzUsnYm6bcxalKfD1hTW4/TaQYNAFZbw9dKFPQeIaaex+I5VzoNKaAfiHpVM4iAor5cKGZgaYbkva5ZZCMrqRbJ6sQbZBVaJGFXUZbIknYOWWL3O2pugK9Oy9LMTK5OCik1gA6uKSYGeycAeVzkIDXppkIfL4ste+XCWqw6syjO5RaL/FIH6/fcyyAEjHlezIoF5GrN9EMiq7RYS5K7pepDme3iAVYUwlHccOVQUMDKua2XJW3kCjTuscYxiDrSOBnE4NghEHb+saMNoiAVcsbOIcjA4bhwzsCS3YUlu4/m7bnLkAanZ/FDcXEuHpiLiVLGQhWn0SNyJo00R86DEyaBYc9BpGtxdrJ3cKk4cFBD2Solzy/RkCDRrET830zlpIA+10SOeBbM8JEX7jG4MT7JSwFRF7Mthk2Cvb81WPlZeW5uSTz9ygyTCoq0vtPUksI91OUaN1GA83mSmjwSnrDqHCsQjeMSYmXo4uY34jsmcwjHg2DSOE2c2KNNgZlcAUVk/QAJKBCHTNpJIJWWqucxUcGaJV2aQlxnT5gco9rR3MsO5TMdhkLZx+09wHNDGavORY4qszp2UfcdptAqJ2EmTHzBBRFfZ7RetphqrqCKqgTXajsmJCUZGWu9VNrtnZVbFoL5ixrPy4EDyHbivkBMJIi3HQkpmETiRIEYx0oVjepQFP7ECa0Xo2CUTiLqCxCSezEMkIlqJ0FGh+8ShSkGPSJ1JbcMRSrGCji+HKJG3mWz8bKliR0onX559nGyZIxM6W806sjlyTgM3DHvo2IKUE0d2sLwp7iXPD/ltWLIUK4iZKnJGal5XQi2Y1MTnR67KuFe8n5Fw4a9RNhJWR20oV6BspAVksJ6TkL24yk4P0lFGpkBPxvJfJlHi1ygb+WkTKcWCsULPwMLk4NLgvfxuQkiDGo/fjbxhtP6xAr+bAoAc9PV6Xja6k9QhVqBsHHsT5PP8NZiIWJffjfRwZF3MhObiKs8bp9kkMy+SUJH4YvwaZbPmI7Ug477MGDGuUjYOcEqkb0ikb0ikb0ikb0hEMBLpGxLpG0j9wWr7gSl/zgsMVS+3nPuftWYNC7LkQ7DVlNN0OGCEHcYmzSHLdgRBDEDcjGzCUcbavblNGYH3dF5dRdCbdITVDUxNxBHhTAvibr3pW1hb0DOI703naqoXjypi0MP8UMjG1nLSnvU6pzUr4RXd6DSRMaqT16MxGoojYQJIoxUtgbAsrbYFBxZFB4KjYBYw8UkZBstnrIWpeMhUUXEZedpaQSfkeWu1ezshmWyZJ28bRziR34rDfciB1gpc4aAbEuVwWhVJ/cgKyAFLrQL9lsUK7LxRgGyWQM4Gb6gJOMS8FVBBGj1y+ZDGgfw+HIPWKcggWVkrh5Bjt+KEi8yV5muQMuAoOXe0VWwy4tzZlInHZhrFTPPH2Z6xLrFbmuDMMh5O7Yx1afBpgjPRH47ejK4mqUpOdYruTd8r/CjT2GYauswEXqb5yzxMmfhcZl0oJ9NHG5WSiJxNH/cS0WHNa2HCsRAbK8TRivkN2H1Q3DnjeSceeMJ+Mg7djr3DKVGsTOEQ4cRJ5HGVe13AyCCsYxB0wIlxZAIzDRLj2tp8XQqt3b7am/yH27lnK3FvAjgPJeSB6NluyxxrYv0kWTnJFtFxqlNFCKlSromEj2Rl5kBOcyLF8E5V58jsD9qancqmOIaV0zw7fRXyc5L4a+AGINw3cKCw9CwjqF45jE5GgUMFO5lRznnlOFZyB5GSkyybJOnu5O9xTiIZyExAVqSTyEBNAmryRLf6SJyUSnou8hKTMpGDKls6hiwWLGw5Ylcro15y2HquZ9EBJZPkICNM7s3efeIecPfAhDtVqjqT5fZleqYcxR3RL7N/9Fc5XjtWIOUKPVOO1x6USRkERA2stxXMMCi3Mii1MiizMqgscHClGpNzHlzFzEGUhqs4tCJ6wkaYSpUAtXIBg4+hRumy6Ki4t4z8V3oolr6xmbiRFmArMDuBG9XQG0IsdIoKSyYKy8aUxGc3NVto2Z3M9goylZjMtnLfGJsbmXWVw89+5UZbslEU0RHT0httOa9GETDHXpAVsdU5beV9kzi+U3NrxzBuYOGD+UtYWR9pG4WHA2tQBgZ3A+0NrVj8mnDxgUUdLNjmLG4SzPdsJGAhk84/R6J3CoB6laT1eq0cnc755J3cZM4374T9k1HbRPNIf96/BLsNPV67kJqRkcAvclp3gls6IUmkiu+UcumUneH8eZKIcrh5J7BoYPUfeyY6+eFkHQ4GMs2YVfa/1aKkSOZkolaP32rDxTMBkepMH0IghpXbkY5V3UpFOv3KY5yknWJyBCnyWQHP8vFIVpOexdQZLqpkYffwwIQqztjkeMTK2pRt/QNHHFa2Kmy/p08byXUOGKajbqqMweMGyQZpb3lgDpZuaRQZCFAlXhf30mKy9JasSVG8IC/ctQNk4opzoVDKTTsDCwitmghGxq/xeQmPk2YqJOY782BGwpTsK4wn47pO2DD2GUgeOZi4UVYrikO41wk4DIzYBxrOgb2lLCSOwheB2wNbLAZ2lZPILkpnmJsmiDcwYBuIDpsjzG2ixAHjyQS7D6yEGAhSDExzDaywYt9XfHnVtVVsyhgEc/TC3nvq2WI2abagCPnspXM4GaSnJiuMCAr7x4s7c/VeOAGklsZyKYnJTc0N4vGCbOo0P5n5XJiDIqd20CZo07KBsdZX8NE1MaAf1kQZppNlN5+TSDXp7ihD0OKQAsSvxkQmtJ81NbmDEnKJRi8weWKoh2vmwki6HmXApObx+Ej9GvlcWNFmo8Gi5WhmZfeKPCEmvWIB1jPRR4t8PJqn6QBUdNwq8yZ52qYMau8ufO1cn1M2cEetO7czO9KK+XOobQoNXDGNpgcjmJGRTkFDp4C0NlFRwC4T9rQUc3NTDRUqnMKQqjCcKTad7qDlNi0M68hcEB0cpHqhc1Q81U2t3FGExBYDAqqKWxphTyTXJJUfu84bPalHbxb7D9TkHB0RldHsdePHdbdKYU8In6yTFuQwLM7C4igszm7u9Fk5ubmTr9cxny3/q1X4HggNFHCnbcmZPoyIGMi2io85wYjjyToZlU5l7b0cOlZId4ZESKQw6DO1enktezpl1VtZNA4G5tzaVicqPqgGJMgtaRWZceZyy36YSgB5YGjqJGHraNzrSInonstuZMxiSLu6m8iQFvdKrXLqSNxL2ZSDiXspm9JS8R74DMqAZc44iauUmD2GlYxZrKCep4o9hpwDEitQYvYYclpM5lyYuErZ2GPI+S2xAmVjjyFnp8QKlE32hFPvSJPM+YMdT6VsNwe3t7JbHNDOedwcx83pHTU5e1g1qGQLaUU9rNrdpHSzSIgdKpHHi0X+LnvEx++ECHFacaeKtY5FeNKzHVv+POU6tA4yd3EyeVVvJegPeK8UX4wU5r06KjGOWvcy4RKurtov/WtMdkS/M3+NEtOMRXcqV6DENGPR5agVaMYyzVimGcuKqOJWyqaarbiXstGMZZqxTDNGppJ4XH3NTIOVabDIBBPrcqfSYGUSU2UarEyDldkUn9kUn2mwMg0WOWriY1I2GqzMpnhyvsS63JMCzjK5b+IqNQyb4slyEytQNmnjuJfnjU3xbCeNra6ULntD4l7KJtg67uV5Y1M8p4vFCpSNTfHsPMiZTfGZTfFZWFCsQD3Jpnj2p8QK1CVsimenRKzAPcl6AnY8hYrid2PKhn1QsQL3JJvi2fEUK9DqKV0dypN7kk3x7G2KFfjd2BTPzqRYgd+NTfHskYkV9N2YEArDIBtg9Isl0bGCzhsbEONeycZ+pbhX363QW2EfVJg3yka/pNAvKQz/WIUev0bZhALFvZSNfkmhX1LolxDpDYOuPclOtbhX542danGv9GShX8LesXAqdN4K/ZJCvyTxPST6Z2RxymRxiqskGqF/Fi1l8or5HjjoLZxikqjwPXgmG32NyOHgbA6KmGtpPo4AqtXTWUvtcSwY+VRr6TwymXIkWC0jUctGcAgm51oyX8iZlBxqyTmVzFfWspEcs1IrIVZzciM7vaXqGzaqKyztzBDJPBQ9nTgm8AZaKl5y0Db0BQojE+aFQt+QTIcaNlFHJ+to89AyMuGkzwik8GTsvuyVxeoV2PRk5dZHYKMoO0J7ZnUZxYW6JS85izYZ24VqViEbYzvWDJFwhvXvLC7qPZtJJodlSJFw52BQ5stjgKAoVVg4SJKl2JqwWWS2cRsC6ZhiVRKEsiiYdExhjJUeJIYS97Lfn2VLRFZiBRVEEPOJe8mnwD73CIfEesuJmlLULG9lPe/APBexQhK9co4k6S84nZIJNU6WZM0v2asHVsMJLehdCqIhC2yvVYQ8qFbJLTPBkKivzL5TIpHhkGpAAmcRs8woMhrsF+cZMicJC1yJCceMGLIssEUo+JD4bvhk5Dsn+juwLpk9AyyQNZsW2f8885TYfNge6ePqztncnUzPxvPZ1WK3fy3H89243Mb/X85/Wu9ezcfF2bOnt/88OV0vL2en8TfVdLK+2i3mq/Hwz9uL9c/PF4v9P8cqn/YfnM12s4NkJ9M0/eUS/a7//P/D9/u3DL/Tg/fvD/d7+nB3TEAYhM3654PO3IbCvFqFAUjTZ0/P91cmMaP+4Cwc39xzuP2rvSV5d3eOu+fPnr6e/HQyfVuscBz/Pp/ESj9uZquz+O+vD/bnep3DHz97erpe/INfPTrYtuObmw73v/ez9duffbvyfDK/fvDDcxws/vVTxOX9Ex4uXy/67nJ5d/ng0R8e792PPHt6Ywpu5Nz/4M3VyWq2DPP47dVysj6f/Ndq8uVe0Mn5wfLk6eSH2XZ8a4jChO7/bf/wb23oA6t8M27HzU/jzTLl1y3zl1WY8b/eLlP/umW+fm+R5p8scnz7vuJTXcw2u1frzXK2u3l7fby9O9cnh3/ef5HJ+eHGa1dj3MzH7fV3PDgazzfjbLJ7cxmvev8D7zsmhy369Xo7383Xq/3fx94cz8fNuDod39vLN1cnhz85mcbY3kD0grA23s3Nno9fX4ynuzH++36pw4Y5uDzHN39/959vPKn9M+63zq3Q/0zScE0+OUmvT8zHljQ+7ycn6bUS+NiSxmH95CS91msfRdI4KO/OafzjJyfpRzyndyQNpffJSfoRz+kdSdtPUNKPeE7vSNp9gpL+2nN61+aEOTpYzO9mPyzGb3dvFuNXq/P1Wzfl6/1/OVz803g2v1oO11H9N+ufvxxnZ+PmYHIPl16sFx9eiru+3W3ml3vD/BYOiLs+vPTH2XYXl6+WYYkPe3R8vfvjdnf4/8nVJrywv0XF/xevmpfpqHnxPB/Vp0M56r94VR+9/PxV8yJmJ5XhZf77dPJ6uVhtn7xO9cn0Yre7fHJ8vD29GJez7WfL+elmvV2f7z6LcON4fX4+Px2Pt5dhf8+2F+O4Wy6Oo4V2OB6Ol7P5am/DU/3k9q28HM/nq4OzMLmYn43fzxZX4zakOwj/9lfDRXvMj46vT8fDj7XXP7XXsyHoXWmDq/F5m9r6KMYmPD+qq5cvjvrnz5ujV1H8HsnbVL1s6ltpL88CYHnML38obmqvnfm3QM9i9iawm73osSJljz9497D7Rz58o+slDlvn9iU9+19QSwMEFAAAAAgApBNuXfLH954KIQAAeu4AAB4AAAB4bC9waXZvdFRhYmxlcy9waXZvdFRhYmxlMy54bWzt3VtvXMeRB/D3BfY7DOad5unucxVEBYpkrY1kdw3HyT6PyUNzkLkQM0NbQpDvvjVDiRfxx4S2lYWyyEtiHx/2dPfprsu/qv71/Ddvl4vJj+NmO1+vTqbpi2o6GVen67P56oeT6R+/e3PUTyfb3Wx1NlusV+PJ9N24nf7mxb//2/PL+Y/r3Xez7xfj6/F8vprvYoBJDLbankwvdrvLZ8fH29OLcTnbfrG+HFfxX87Xm+VsF/+6+eF4e7kZZ2fbi3HcLRfHuara4+Vsvppej/BsefqUQZazzZ+vLo9O18vL2W7+/Xwx3707jDWdLE+fff3Dar3Zz+9k+nbzYeC3mwcDL+enm/V2fb77IgY6Xp+fz0/HB/NL9fFm/HG+36UYavPsan52Mv1LW16m9lXXHg2v2/qorl+2R/3L7suj6tWb+vVvU/3lkLu/Tier2TIm8c3NhuXp5HQWe/N1jJFif2eXl4t3/3W1/H7cvLneo5NpfIfD49+uN2d4/Ga92j1495vZbjduVg+ev1zMf1gtR/zF/8zPdhdfjfMfLm5HS9PJ2Ww3ezW73H/Sk+mfZour+OiTq8t4PJ796cNZiYkv56tvx/PNuL3Y7/PNfynx8nZ8ebVbX09ldzhMMe58Ny6/2cxXu+/mu8UYq4xnp3EQ7g4bH2++OovJHvbg8G1P7/3z65jc4b8trxa7+eVifDMfF2dv5otY+/XGnV7MNu/XczLtpy+eL9ancUDifG7G85Ppf6Rnv+umk/P5Zrv7Kk7huPl2/dPhDw+P9uMfHsTkbh68Wi/2D45fXJ/7w09uY3ZX+3mW/W/cPr836fXVbjHfX5wYfnux/unlIgaq7g/0lD+YbNeb3XfvLmOk2fZ0XO0vaPzqfkdv5tHv57F/MlkeZv/2/ZTvP8r7H7//qDx8VD981Dx81D581D181D98NDx8lA678tH0D1v+0TMsIGEFCUtIWEPCIhJWETf14Vywjox1ZKwjYx0Z68hYR8Y6MtaRsY6MdWSso2AdBesoOlBYR8E6CtZRsI6CdcSte3iQsY4a66ixjvp2HXFx9Ee6JlhUjUXVWFSNRdVYVI1FNZhfg0U1+DgN1tHovmMdDdbRYB0N1tFgHS3W0WIdLdbRYh0t1tFKcGEdLdbRYh0t1tFhHR3W0WEdHdbRYR0d1tFJAmMdHdbRYR091tFjHT3W0WMdPdbRYx397TpCoZ6N57NQ7vv7fXzQcPH/t/r1nq6dvZ2H0t//b+js+/bCI6r3KZo0hUD8WO/8g9WfTjhFq8SyJJNEnMTtz/9Ct9aF9FCSQh0wwwGzGaTcpSl5QWRoYHmDDrQuui6XNLS0u6wAWRrSxrJmZGnIMpBVIcGh4ywLp5JZVskuq2RcVfqglUyzSkdEIkpiX/aLLsDtYmwcy9CQwXRH/sVAWKOUNi0WnTEZHzI0ZFRov2n2yj5upPJlLjzV1Li337cDxZ7J4NAzrHGQdZ5kJemZLvqvsCSk0VOFHx54uyQS9EweBD+rDCAZaPLTnqj8k9ytAbPutQ2SJ/Jd5Bv0Mpn1TP6HzDZuNR1RSRMZVX/bY7VnIfcr2R/m9ZaTLB2iZ7pLle6IFkafmM4ztYgMbh4PTVJ+sUzaTj6wTv/tzfl5JuhdjOpTwT33gKan4EP/+D94it2cSzihHxvOWcZfHmS8yCTM8nuyxE2WYsiSu3mQOSWbMsvDyjJTsw5akflUZD4VWUpFRlGR+VRkfZWAwh9iJJXAFF35IjVWJJdKEjCk716S4CIplCIDpUjnFXkcRWKoSGAVmQ5FMF6RFi5yT4qQvCKRVeRDFSpEoXlF1mkhnkdAT4heFpqRBWcU3eKakzdMKD1NoJBIIaFCYoU0vYu8BsGFRXhhuQMY3njEpSbyKehTMGERTlgEFBYhhYVeh7DCIkm7F94PxEWtU1frdtQ6ijWvjGDJLEu65rERglkEYRapiSIvJwshK4I7i/DOIsAzyxzJghmLsNEicLTW1c6CEItw1CIVWRcdWgJSwlyLQNcitVsExZZWSkoKunDrBNEWYbRFYq1QrOkoFm4ybQZNqZaWycJbiwyeIjukpnVBO4THW+ezcErCgItA4CIUuJbBU8vgqaVMa1lBNTWs8OZa9lJNe0nQdLmDTd/I+cwDRveUMbMI1T40zOQul0FAoj5HLWMv6xvVDCn6wzGAKCxKBmQtkyNrk2uamgJqMz8Hd16WatbO17TBaOTrG9WyfrM+XC3rN2uZtUziWiZxLZO4lklcyySuZRK30gi5kliMp4LEKwrGir5cRR+rouNeSZAJQ6+kpmOyjNhL5uVKtyyeCmGvdHviXTm5FW2FSsotRlCkv+IdqHQJYgTvjjIwBhoXlaw1byOfUoJVOvSp1dakTsIhngpQbSWYU+enkoOpIxrXaRNSL186dVpxzFcoVqd7kjp9tBhXK+4l91MnTyK1jK91ckXi1zhf6eLUyhuJOQjM6yQD4gsxDYewd6erEvNVVKmTo5NaXaA4fboUHYOcrYzz1MrETJ2c1zhnXrF2veWX7wi/tjKd4wtpba18w9gHYb0d72bLr9nyVPdM0+rkR8cN4BwkfONdAtsSvvEuU8AIJ1b8xp1grTh9QuZb/lovNCJkiUI3sqBSL98snmobeoszOfBxULmR0pkhzrxgXiH5PnEk9WutRZ/8gth0XiFZ3Knjoe4ZZell0CU6cLpAWZ535u8TZZTNzWxBye1MvEbBOcVAoGBk8WZpl6zzJ+wqC3jLzH0UqCPtKmtCN5J5KELnlIcn7SsFxcSWJ8axf01SVmZqJ91CyRoHqOV+EkCTMUVV5OQR5okwHZYzkiBglgkfMnNFQ9KGoyFKm9UxXUZW5WUwtZg3TIB1draW9liIXnLCMuO19AiV9kdfSvKP3hxTnmmK0tLnftAqk0xNcsYzfTvBntm+1kNYyBP6FXnC++TGh5nsNDSoSQXJJ6cY6QopJ0cJeUxg0MFiMEEyXbNRsCnJXqf/pwBUUgAq0eSTHnxqdnaic6V7n2hg0/iqJR1lZUgDJLqcEk8KqyTeW3otdFpoXvGjaYczT7qsj8Slc0WSWYlelBxP/rUsS3s0tM5pcEuCUwFIjCX67XTQFRUJRAKyyF40s2yFOFnLMmlQ2JjOXH4EntDk6UMRm5DZ8SsqlJ5adBFgi+b91GwsIbDhimFIwaqJjj39emKqxNoJExF8lSzMROUFVmTqfOm+LC2ZWWtGiFfiOcs9JxTs+jWmnz8xOy4RRpa+yAInsoQutY3czURAldGhJxbVJcI1RHYEKxJaItJIhELIqm5VgPewB6Us8qcupNKVeGpxldxQyU/ZoU8twpKJ9n9RmGWp8IlLEZmlpqIAKXm58YJjmfmlaBNxL9rNcveFD0u4OQb4xFpa5lL9irrUyGPFxZO1n1kxIms/C/fIQlEd+KTtplcjCkGsX7Zj6ozJs3i6o5PX0efoifK0hJ1bqu+WdkZLkLu1vUqDtaGt0TCG0FDQN7S4G8aUGgVlwwkQlthQ9zVUfg0VS8OoakNl11DbNYyiNY6iEQ1rHZclHtYydtnSgG9ptbacb8uqnNYeiB0tr5h71tolZPy0IcraOGbHoEdLKKEl6tAS92p5Y1vHOQk/tQTEWoalOoIkrePIDiqxXrBlkKaV4ZJamSTxlHKSSFhLgKAlFsbsmdSyPrI1JQWlckup3FIVtw65KciSWrolLZ2IVphVhPIIIjg+zWh4+8gp4bjULT33t+f57XlKOuWCJuttlvilCOqLxISSK1M7BX0RLA/DqwNPaifELbxuOug8Ub3OQ66oRXrn5lCe9TzrPfVF/4hUZnaEMSi6lx0thY66uyeyXLGcqWI9U8WCpsrZBqxeqli+VLF+Kfns0O5MkrQ5WSrrXkQqnU5qxTvUcicT5XrPbKTeEtxAozIS4wbI5uqIg3fEnTve2I7Yb89xe6dzUHf3vseEyXva1b1hMSZ59NQMvTOiBOak3gkWxNB7apGedlRPxLz3rtNi6mkF9bR3emsnhjZ6av/esBaDMD3PWe/9fSSjjxqSfkBHmdrxFnbkfeioeTvuQ0e7pKNt39GW62zLEVXuaNt3Pr+2U+lZdvSaW36hzjKK97jjWe98C2ld9bSVe0rwnt+it03LG9s9koimuEbPvLneIRR/TeIaPb9Fb6lM67Vznir1RccwY0fJ1Tli5TiL76Y9Vkq5lqhES1yjJf7Q0VbunEls7UQPsLO0d5Yp9XxLHKZ10Mjf2IR+jlo9YiMyb5l+d8f97Y2J0cfpLWmJBZF2R1SKsrRbGZiNTkKjg1ATmtemEKlhqjE9jZ5JevLjCGQ4k9zeS5LMb3gVWTGbGqqdmkebjkOkEyhkRRKtWueHzvtAn4oFkI1EbSPUvpE4a7iD2pWG4WkJzoYVRSytrklIKAlLGNWIK/O+G6r8VmZdTSnITIkckAFqrpk0I8yYDoV9JdavxvFTXKF5JPNFzJZOjKKTUVF5VjQfKxo9FU35iuK2ojNQ0eyvaJ5XNJAqunYVjb+KCoYVVeF761NUBLAqGnQVXdzK0ojuREUzr6IJW9FVqgiqVjS8KpoWFU2Liq4SA3Wur2AGQ+RCipWU0XRan4W2jdOFWPqfsoRlrlhDUDHzumLGRUV/xrKp9rtEV2pay/UjGYHCQ2srTdYM1awvqpk2RmWQalrhNXHAmh5yzXhqzcNb086s6eXUTpikkKxplNT0tGop1ZZVCaTRlEPV0R4t5DomkccjJUvSfjqMA++pHjK+y/Buo6/SyNVgHJgQSUCoojXVKR5MmKmLPwhVHQRaD/JHHHaPqI2CFc51p3ZzJnmSDqFHNCik0FqJEclJVNDJGepUr8mKlKd131kCFPVUg4m+nnPD7yaHmyCwsTFE5m0KYtacN9qnRuevlptHI3GQQR5tMNACQLMfpOUHHb6BYr0hQNkQFKud6mBWTSeCMKhWK2RDNy9Vir8NrKRy0QajLYXoGRlkIg9SQmAgsjIQnRzcGIEozEBjduA2DoxpDCZCZSZKwxEa+sYNI6G0oRp5G80jckS723BvGu55Q3HckCbHXpCToPjRGhMzC7jtaRs2VBONiysoNwe5Z428B+e21M6A4u1pdJZslJE3JJGipLfb+YhdKI3SUIFKqgzMIyOVSCKoF/AD/X/qykY6raGHmwwr8Po3NHgbJhb4mpGQOLFAL56y6sLVVBQ2hYkQJOxJhcexOPWORiI9B7KrJTIBxVP4YAOLqGW4N3RwyyMHzxzXKvmzl8O8kYaeIbkno9ZNn7dmVIEcYKl+5Cgw15p3nRx9Ua+nDByydsU3U54LqRhT7co3e72UxKSViqPrObhEUH1miNjUDmxYihC5KhyBPFaNbX5ClmTx6pnqS8LEODgKz5CJK44pC9YtWSgtSG0ZB0ehq4YhJrIHNtTKNe2r2h+Y9hUZQ0MWcxtoDxbKBhKExvZKq5Gg1CkYZCxs6BU2RHFoJKZGMDPT35mN2xAGIDjb8CkJ+XoGrytuIS2xxBhSPGWSO8E0QjERnKB5ZJCOgVhyP/IrpOaRBasticR+42kpS6MhdGhLiuSXMVk6Fhq3YdzaTwstPH4FRijDumKZrfsE8JpHvi1RKcjWgY42ozPkTI8cSLVR07FtdGp58xuhao2csIYN2+RXNUydibxt9FqUpcPSFObj9DpBg0AVpvD1koU9G4jppDH5jlnOg1JoB+IelVTiICivlwgZGBphui9zlpkIyuxFsnoxB9kJVokYVeRlMiWdnZWYvc7cm6Ar07C0sxMzk4KKTZkrzComBXomA3s8ZeczIZCycJl82SseznTVgVl5JrdItJ/CUQdYKgOMeFzNjATGacz2QSCrtllIkLum6UGa7+ERVhWSNPnEkUNFDiP9ulaavJUl0LjCGteopgYKVkUdd5aZVYYz6Q0xgStOFlEOOseNfQam5DZMyW3cf9dFjrwgNYsfiotradBURJwqJrIwjB6BO3G0yWMeFDgZ5GsOuk2Dq4t1klv5iYMcwl4h8UZHpidDoFmL+LkZzkkDeaiNHvEumOUhydund2N4kpkCpipiXQ6LBHt9a5byMfPa0pR8+hEbJBEWdX2hrieBfYzLvmmkBuP1JjN9BDil1dlUIKbgnmJm6mGrNuI7JnMKw4B90thOnNGgTIWZnQFEYf0ICSgRhEzdSCKVlCnmMkPBmSlemU5epk+bH6HY09nJdOcyDYdB0sblP8FxIPOTiUXkmCKrcydh37H9rFwiVtLkR1QQ0VVW+0Wpqfooaq0Dc7TtkxMTjIi09lU6u2dmVkWnvmLEs3KnQPIduK6QHQkiLMdESkYR2JEgei9qBNcrMuEnRmCuCA27ZAJRZ5CYxJNxiEREKxE6KjSf2FQp6BEpMylt2EIpRtD1ZRMl8jaTjZ8lVaxI6WTLs46TJXNkQmepWUc2R/Zp4IFhDR1LkHJiyw6mN8W75Pkhvw1TlmIEMVNFzEjF6wqoBZOa+PzIVRnvivczAi78Na6NhNWRG8oRuDbSAtJZz0nIXjxlpQfpKCNSoJkx/ZdBlPg1ro38tImUYsFYoTkwMTm4NPguv5sQ0qDG43cjbxi1f4zA7yYHIAd9vebLQneSOsQIXBvb3gT5PH8NKiLG5XcjPRxZFzOhuXjK+8ZuNsnMiyRUJL4Yv8a1WfKRWpB+X6aPGE+5NjZwSqRvSKRvSKRvSKRvSEQwEukbEukbSP3BbPuBIX/2CwxRL7Oc55+5Zg0TsmRDsNSU3XTYYIQVxibNIct2OEF0QFyMbMJR+tq9uU3pgfc0Xp1F0Jt0hNkNDE3EFZG13hN3603fwtyCnk58bzpXU724VRGdHsaHYm0sLSftWa97WjMTXt6NbhMZozpZPWqjIT8SKoA0WlESCM3S6liwYVFUIAiCoYYOYYgTxHxNNjGqham4yVRRchl52lpBJ+R5a3V6OyGZLJknbxtbOJHfis19yIHWClxhoxsS5bBbFUn9yArIBkutHP2WyQqsvJGDbJZA9gZvKAnYxLwVUEEaPXL5kMaB/D5sg9bJySBZWSuDkG234oaLzJXqa5AwYCs5V7RVLDJi39mUicdmKsVM9cfenjEusVuq4Mw0HnbtjHGp8KmCM9Eftt6MqibhG+zqFNWbflf4UaayzVR0mQG8TPWXeZky8bnMvFB2po8yKgUR2Zs+3iWiw5zXwoBjITZWiKMV8xuw+qC4csb9TtzwhPVkbLodZ4ddopiZwibCiZ3I4ynPuoCRQVjHIOiAHePIBGYaJPq1tfm65Fq7fLU3+Q+Pc0/EvzcBnJsS8kL0LLdljDUxf5KsnGSL6NjVqSKEVCnWRMJHsjKzIac5kaJ5p9IVpPYHHc1OaVNsw8punp2+Cvk5Sfw18AAQ7hvYUFhylh5UrxhGJ6XApoKd1Cj7vLIdK7mDSMlJlk2SdHey99gnkQxkJiArkklkoCYBNXmiW30kdkolPRd5iUmZyEaVLQ1DJgsWlhyxqpVeLzls3dez6IKSSXKQEib3Zu86cTe4e6TDnTJVHcly+TItU7biDu+X0T/aq2yvHSOw9R8tU7bXHhRJGQREDcy3FcwwKLYyKLQyKLIyKC1wcKYag3NuXMXIQaSGKzm0InpiehtlAtSKBQy+hmqly6Sj4toy8l9pUkx9YzFxIynAUmBWAjfKoTeEWGgUFaZMFKaNKYjPamqW0LI6meUVZCoxmW3lujEWNzLqKoOf9cqNjmQjL6IjpqUdbdmvRh4w216QFbHVPW1lfZM4vlNxa0c3bmBduPlLmFkfYRu5hwNzUExeN1DfUIvFrwkXH5jUwYRt9uImwXzPQgImMun+syV6JweoV0par21l63T2J+9kJrO/eSfsn4zaJppH+PPhI+htyPHaidT0jAR+kdO6E9zSCUkiVXynkEun6Az7z5NElM3NO4FFA7P/WDPRyQ4n63AwkKnHrKL/rQYlRTI7E7WafqsDF3MCItWZPoRADDO3IxyrvJWKdPqV2zhJOkXnCFLkMwOe6eMRnyE9i6kznFTJxO7hkQ5V7LHJ9oiVpSnL+ge2OKysVVh+T5s2gutsMExD3VQZg9sNkg3S1vLAGCzN0kgyEKBKvC7epcZk6i1ZkyJ5QVa4cwfIxBX3Qq6Ui3YGJhBaNBGMjF/jfAmPk2YqVsw9c2NGwpSsK4yZcVwHbOj7DCSPHEzcKK0VySE86wQcBnrsAxXnwNpSJhJH4ovA7YElFgOryklkF6kzJNcgiDfQYRuIDpsjzGWixAFjZoLdB2ZCDAQpBoa5BmZYse4rvrzy2ioWZQyCOXph7z3lbFGitg3nIuSzl8xhZ5CekqzQIyisHy+uzNW+sANILYnlVBKTm5obxO0FWdRpfjLzuTAGRU7toE3QoWUBY62v4KtrYkBP1kQZppNlNZ+DSDXp7riGoMUhBYi3xkQm1J81JbmdEnKJRi0weWIoh2vGwki6HmnApOZx+0j9GvlcmNFmpcGk5WhKxeoVVsPyNFH+BbkXi9VdL+nSW3ZTMG+Su21KofauwtfJ9T1lAXfkuvM4syKtmD+H0qZQwRXTaLoxghkZaRQ0NApIaxMZBawyYU1LMTc3xVChwCl0qQrdmWLV6QpaHtNCt47MBVHBQaoXGkfFXd1Uyh1JSCwxIKAqv6UR9kRyTVL5seq80UzderPYfqAkZ+uIyIxmrRs/rqtVCmtCOLNOUpDNsNgLi62w2Lu502dl5+ZOtl7HeLbsr1bueyA0cFM6HUv29KFHREe2lX/MDkZsT9bJqO6U1t7LoGOGdGdIhEQKgz5Tq81rWdMprd4KimBjYPatbXWj4oOqQYLMklaeGXsut6yHqQSQB4amShKWjsa79pSI7jntRsosmrSruokMafGuxCq7jsS7XJtiMPEu16awVOwD56AIWGaPk3jKFbPGkL1IYgTVPFWsMWQfkBiBK2aNIbvFZPaFiadcG2sM2b8lRuDaWGPI3ikxAtcmfcKud6RJZv/BjrdSupuN21vpLTZoZz9utuNm946anD3MGlSwhbSiblbtalKaWSTEDpHI68Ukf6c94uN3QoTYrbhTxlrHJDzJ2Y4lf+5yHVIHkbu4mXyqXQn6A74rwRcthfmurkq0o9a7DLiEqavyS/8agx1R78xf44qpxqI6lSNwxVRjUeWoEajGMtVYphrL8qjiVa5NOVvxLtdGNZapxjLVGJlKYrr6mpkKK1NhkQkmxuVJpcLKJKbKVFiZCiuzKD6zKD5TYWUqLHLUxMfk2qiwMoviyfkS4/JMCjjL5L6Jp5QwLIony02MwLVJGse7vG8simc5aRx1hXRZGxLvcm2CreNd3jcWxbO7WIzAtbEonpUHObMoPrMoPgsLihEoJ1kUz/qUGIGyhEXxrJSIEXgmmU/AiqcQUfxuDNmwDipG4JlkUTwrnmIEaj2Fq0N48kyyKJ61TTECvxuL4lmZFCPwu7EonjUyMYK+GwNCoRikA4x+MSU6RtB9YwFivKu1sV4p3tV3K7RWWAcV6o1ro11SaJcUun/MQo9f49qEAsW7XBvtkkK7pNAuIdIbCl1nkpVq8a7uGyvV4l3JyUK7hLVjYVTovhXaJYV2SeI+JNpnZHHKZHGKpyQaoX0WJWWyirkPbPQWRjFJVLgP7slGWyNqKnE3B3nMtSQfWwDVqumsJfbYFox8qrVkHplM2RKslpKopSPYBJN9LRkvZE9KNrVkn0rGK2vpSLZZqRUQq9m5kZXeEvUNC9XllnZmiGQcipZOXBNYAy0FLzloG9oChZ4J40Ihb0imQwmbKKOTZbR5aOmZsNNnOFKYGasve0Wxejk2PVm59RFYKMqK0J5RXXpxIW7JS86kTfp2IZqVyEbfjjlDJJxh/juTi8z/UknlMA0pIvZsDMpEx2ggKEoVJg6SZCmOJnQWmW1chkA6phiVBKFMCiYdUyhjhQeJocS7rPdn2hKRlRhBOQrEfOJd8imwzj3cIbHesqOmBDXTW5nPOzDORayQRK/sI0n6C3anZECNnSWZ80v26oHZcEILeqeCqMkCy2vlIQ/KVXLJTDAk6iuz7pRIZBikapDAXsRMM4qIBuvFeYfMScIEV2LC0SOGLAssEQo+JO4NZ0a+c6K/A/OSWTPABFmzaZH9zz1Pic2H7pE8ru7czd3J9Gw8n10tdvttOZ7vxuU2/v9y/uN692Y+Ls5ePL/958npenk5O42/qaaT9dVuMV+Nh3/eXqx/erlY7P85Rvm8/+BstpsdVnYyTdOfv6J/6j////D9/rWGf9KL968P98/04e6ogFAIm/VPB5m5DYF5tQoFkKYvnp/vn0yiR/1ByRzfvHN4/eu9Jvnwdhtvz188fzv58WR6HSQ6jn/98OQ6vHP3yXWY4t6TB38VxO43L01iRj9sZquz+J237/9yP5/DJF48P10v/sbsj66nf/PS4f1706/fT//DnCbz6w04rOdgORymun+cPzy+HvTD4/Lh8c1S97/3fno3KuVmv/Y/ePN0spotQ83+4Wo5WZ9P/ns1+Wq/0Mn5QYPl6eT72XZ8r9BCFe//bT/ue138yCjfjttx8+N4M0z5ZcP8cRXmwJ9vh6l/2TDf3Buk+TuDHN/uV3yqi9lm92a9Wc52N7vXx+7deT45/PP+00zODy9emyzjZj5ur7/jwWB5uRlnk927y9jq/Q/cN3AOR/2b9Xa+m69X+7+PMz6ej5txdTreuxM3TyeHP4njHoxuUT+153W7vTvx64vxdDfGf98PdThHB9Pp+Obv7/7zjUW2n+P+qN4u+u+tNEycz26l1zfmU680Pu9nt9L3gvHDSflE3zQu62e30mu59km+aVyUD/c0/vGzW+knvKd3VhpC77Nb6Se8p3dW2n6GK/2E9/TOSrvPcKW/9J7e1Tmhjg4a87vZ94vxD7t3i/Hr1fn6vZnyzf6/HB7+53g2v1oO1+jAt+ufvhpnZ+PmoHIPj16tFx8/irf+sNvML/eK+T2sEG99/Oj3s+0uHl8tQxMfzuj4dvf77e7w/5OrTVhhf4nKgS/fNK/TUfPqZT6qT4dy1H/5pj56/ds3zavowVSG1/mv08nb5WK1ffY21SfTi93u8tnx8fb0YlzOtl8s56eb9XZ9vvsi3Jbj9fn5/HQ83l6G/j3bXozjbrk4jlLc4Xg4Xs7mq70OT/Wz2115PZ7PVwdjYXIxPxv/NFtcjdtY3WHx7381TLSn/Oj49nQ8/Fh7/VN7ORsLvbva4Hx82aa2Por2Cy+P6ur1q6P+5cvm6E0k0UcQOFWvm/p2tZdnAdQ85Zc/Xm5qr52C94DRYvYuMKD90mNErj3+4MNk91M+fKPrIQ5H53aTXvwvUEsDBBQAAAAIAKQTbl0b23TWQCIAAK7wAAAeAAAAeGwvcGl2b3RUYWJsZXMvcGl2b3RUYWJsZTQueG1s7d1bbxzHlQfw9wX2Owz4TrOr+i6YChRLgg1kN4bjZJ/HZNMaZDhDzAxtOUG++54ZSuyW9WtFCbSAsshLIjd7qqtOVZ3L/9y+/M3r2/Xip2G3X203l2fpi+JsMWyutterzY+XZ3/8/uV5d7bYH5ab6+V6uxkuz34Z9me/efqf//Hl3eqn7eH75Q/r4flws9qsDjHAIgbb7C/PXh0Od08uLvZXr4bb5f6L7d2wib/cbHe3y0P85+7Hi/3dblhe718Nw+F2fZGLorm4Xa42Zw8jPLm9+phBbpe7P9/fnV9tb++Wh9UPq/Xq8MtprLPF7dWTb37cbHfH+V2evd69Hfj17r2Bb1dXu+1+e3P4Iga62N7crK6G9+aXqovd8NPqSKUYavfkfnV9efbXJlW/zS9yOm9fdC/Oq7p/dt4Vz/J5WVZNrl90/Yum+9vZYrO8jUl8+0iwdLa4WgZtvokxUtB3eXe3/uW/729/GHYvH2h0eRb7cHr82+3uGo9fbjeH9979dnk4DLvNe8+frVc/bm4H/OJ/VteHV18Pqx9fjaPF7K6Xh+VXy7vjll6e/Wm5vo9NX9zfxePh+k9vz0pM/Ha1+W642Q37V0c6P/6ljJf3w7P7w/ZhKofTYYpxV4fh9tvdanP4fnVYD7HKIyXiIEyHjc1bba5jsicanPb26p1/P4/Jnf52e78+rO7Ww8vVsL5+uVrH2h8Id/VquXuznsuz5uzpl+vtVRyQOJ+74eby7Fl68iKmeLPa7Q9fxykcdt9tfz798PToOP7pQUzu8cFX2/XxwcXTh3N/+uQ+Znd/nGfZxTfG5+9Ment/WK+OFyeG37/a/vxsHQMV7w60WL5excyP/xsffnfRM79f7Le7w/e/3MXAy/3VsDne15jEkcCP0+qO0zo+WezjoB0JdlrT6zcLOf3l8VE+Tokvl7N/qWb/Us/+pZn9Szv7l272L/3sX9KJxl79aR/9p3kypHk6pHlCpHlKpHlSpHlaBL+Ynfw8NfI8NfI8NfI8NfI8NfI8NfI8NfI8NfI8NfI8NfI8Ncp5apTz1Cg/cEXmqVHOU6Ocp0Y5T41ynhrBh2Yv8Tw1qnlqVPPUqN6jRvCVD4z0AS4yT6FqnkLVPIWqeQpV8xSq5ilUz6+rnqdQPX9e6nlq1B9gqvPUqOepUc9To56nRj1PjWaeGs08NZp5ajTz1GjmqdF8QMbMU6OZp0YzT41mnhrtPDXaeWq089Ro56nRzlOjnadG+wGRO0+Ndp4a7Tw1unlqdPPU6Oap0c1To5unRjdPjW6kRmhu18PNMrTIUM1OGlJwz4uTChX/P+pz/6hu9zG6WQrx9EYHeVTBxkk/Phon+/ho3LLHR+NWPT4at2gca6Ty47OJTBufjXs4Phu34fHZRDiMz7CGiQQcZ4z3JjszKqoTjWF8ONGcxgVjhj2+0oMKaaLojHQej9f4TJTGe/141scl47eN9hcLmehoo8KObZooUSO18N2J9ja+hyMzUeXG74KA2qUJRxqPIOaSCiwkFaBgKrCfqdCGFtiUVOiIYNUTnjPOHO9NdMXxAoyLsZ01Ud9GkoIsE54YA2GNE31lvKYYaKJKjucYJK9AsomSNa5Q9J6YOZNrihFrbOFEGxp5IfZ/olCN771D73GDg2b6up7hDvZgsinhCEzUpHFKuug4ehPdZjxmIM9EVxhpW2AyPW8Xlif+mcRjuK2g4USrGskgQYVzN9ELJkdHVxUr6UQG8RNxxon9NXJpzHpiT4y3ABMsMZmJ8jURapphwomfmCvj3RVnHO/kO1bYyGEwtTSBSCaU5/V+tCsniwAFJhjJ+KLuUqE7ooVN4I7JHDkk5ljgxYn5MlmMRpT0m+i+447gxxPMYjxb482ZqJ6fRud8B5j8xwHIKcz6UYjl/8UPPkZvzmVY3L9WnHMvnakHo8pSCbNUldyD3WQJhiy+m3upUxMDbryaYhFZampucdBKqU+l1KdSmlIppaiU+lRK+yrD1/IWchq1EF27Ule+lBgrxZdKscdS+14m2TniTOUEtx0nL5lXSmKWE5R28nOpYFIdygkmO/5cUriUeVJKhy/Fskpp5yUForhWOcFYJ/OUPjzBVcc3pSXnCWoyuQgQAKVuccXJ05YtJadlkZbSBkopz6VU+HKCvU7WLipN8NbxTRnT5QRjnbypFUl5Lyfo6eTnurDScEopHyWtjgk+On5InPbIvN9jF5VOXaXbUekoVrwyshWyNOmKx0YmSTmBZifLFD1l5eQJojb+fALcTh6Kz0/A2smVkZSRNl7KUimlC1UTx8nkQzp1E7h3QhBp0LyGE0h4/PkEDJ48hCgvJXbLCSo8+bn2SAK6JOkmwPBkTF1tsbVyAgOPP9dRLCfQ7+RNqTGaUiUpkyeI7GRMwXTSQypqF9RDeLylLpeckszAcgKCjJMXPFNJ4amk8FQSppW0oIoSdoI6P06pkr5UUV+aINOTFUnVnPgcJm/yckluhvP/fcVM5nLZC0jUdlRS9rL2qCJw6I2T8WQiY0WVVI4sIldUNQXUZgHRuRPlpalmUb6iDkYlX3tUSfvN2rhK2m/WMiupxJVU4koqcSWVuJJKXMmGbyQRciG2GE9l3hU0pgracgVtrEJ8LL4mNPb9y5SLiWd1FJSFWF4uxPPiKW5uPBXCXuj2xLuSDgV1hULCLUaALIinYkmFLkG8Kw9DIYUj9VQuCmlr0mwKXY5ckIMVOvSpEWlSK+YQTwWoNmLMqfVT8cHUigipFRFSJ1s6tVpxzFcoVqt7klptWoyrFXfi+6mVcyA19K+1MkXia5yvZHFqZI3EHISktuIBsUNCwlvC3q2uSsxXXqVWhk5q6M1seClaOjkbApWNVMzUyniNc+YVi+oNd74l/NpIdY4dEsbcyDaMWyist+XdbLibDU91ZwBadnTcAM5BzDfeFdjdivnGu/JSNoQTC+5xK1grTp+Q+YZf64RGBC+R60YaVOpkm8VTkaEzO5MBHweVhJTMDHbmBeuYtbJ94kjqa41Zn+yCIDqvkDCtYOA6UB29LJ0UOnoYsy5QluWd+X2ijNK5tf4svp2J18g5Jw+glCtGHtAmUhiKFiNXXJY9lwXqSLpKm9CN1N2V3NANpYyTgGJgy0f6sXXXpJ1SNxUAl2kWitfYQS3zkwCalCmKIgePME5EloWUiiygTsZScugJI1fEW6jDURGlzmqfLj2rsjLELbLQ4SzAOjtaSzRW8APDsDLlE6+yABfbUmIZtOakQWVfU+mGpAe1MvHUpPOVadsJ9sy2tWDJ6hwSalcEDKMtJKO5kZSkguSTQ4w0dc1SAXkMYNBhpTNBkLRmI2dTkr5O+08OqCQHVKLKJznIcCudXhpXuveJCjaVLzmqkrQMSYBEk1Psydxaxi2tFhotVK+4aaJw5kmX9pG4dK5IPCvRimKgGg1B3RRaNNTOqXCLRVAAiI0l2u000OUVCUQCgUG2oonGSTm1lGXQoLAxnbk8A09o8rShiE1o47iZ+sz7z3S0DGnQbPrYaCwhsGGKYY5SXBMNe9r1xFSJtRMmIvgqXpiJygusyJT5kn1ZUjIztJMQr9hzlnlOKFhAf+AD2qKPjI5LhJElL7LAiSymS2kjDDkRUKV3SGqzLiThGiI7Mg8JLRFpJEIhZFW3KsB76IO60llQlWAIbQ5xIxDyY0OipZyKf0oDluSgh1/pOIrwhXSTy1+uLTm2zBXkzcVkpLJRY9N4SgqQkJcZLziWkV/yNjFwgXqzzH3hw2Ju9gEKfVCQkiImFGjI6CzcMVkAWdp+ZsaItP0s3CMLRbXjk7qbXk0NhXEjdpBaY/LETloaea1PMFGehrBzQ/HdUM9oyKwa66tUWGvqGjV9CDUZfU1Uv6Z8reWUDSNAxk5N2VdT+NUULDW9qjWFXU1pV9OLVtuLRjSssV+WeFhD32VDBb5hskbD+TbMymlsgdBMa7xi0qyxSUj/aU2UtbbPjk6PhlBCQ9ShoYe74Y2NkjjQDxviYQ0BsYZuqZYgSWM/sp1KBG0bOmka6fKpkUoST+kTJRLWECBoiIUxeiY1zI9syFMbcuWoZ6Qdoihu7HJjamlDs6ShEdEIswpXHkEE+6fpDW9mTgnHpWzpSN/OSbc8Ja0Uw2S5nYzvk+9EcIMytCidoj4W1BHDqz1PaivELaxuGug8UZ3OQ8TxSNvsHJtDftbxrHeUF90MVyYoZgyK5mVLTaG1bUxkuWA6U8F8poIJTYWjDZi9VDB9qWD+EnO1M5O146ksZSZhhz5J6I1ZIgXvUENK2hnXMRqpMwc30EjDrSM3aomDt8SdW97Ylthvx3E7h3NQdne+x3RvddSrO8NiDPLoKBk6w4cCc1LnAAti6B2lSEc9qiNi3pnq1Jg6akEd9Z3O0omujY7SvzOsRSdMx3PWmb4zEX2UkLQDWvLUltpVy7oPLSVvSzq01Eta6vYtdbnWuhxR5Za6fTsDf0uStbQsW1rNDXeoNY/iPW551lvfQmpXHXXljnp1x73orNPyxrYzgWjSSDvGzXV2oXg3iWt03IvOXJnaa+s4VcqLlm7GlpyrtceKel/ru2mLlVyuISrRENdoiD+01JVbRxJbOtECbM3tHWVKOd8Qh2nsNPIe05pp7bWa0REZt0y7uyV9O2NitHE6c1piQSy7o8oK0rQbKZi1TkKtg1ARmhdRiNQw1JiWRscgPdlxBDIcSW7rJYnn17yKJQGhmmKn4tGm4RDhBFTEmb+j80PjvadNVYpL1WK1tVD7WuysJgVFlZruaU9JYT6lNOpKDJIoKGFUI66M+64p8hupdRW5ICMlcmJOFoNmhBnToLCtxPzVOH7yK9QzkS9ACCsHRtHIKCg8C6qPBZWegqp8QXZb0BgoqPYXVM8LKkgFTbuCyl9BAcOMqrC9tRUFAayCCl1BE7cwN6I5UVDNK6jCFjSVCoKqBRWvgqpFQdWioKkUBWfeF3/Or2AEQxR6VC1GetOpfZbUbRwulIlWZDHLiNom5sLI64IRFwXtGfOmyu9yvhW15WomIlCWVmWhyZyhivlFFcPGKAxSRS28Ig5Y0UKu6E+teHgr6pkVrZzKAZNkkhWVkoqWViWhSodWL5oT5mqpj7KICacaHRcUfaQTxsPY857qIf27dO/W2pVapgb9wIRIAlhVWVOd4t4FM3Xxe6GqvUDrXvaI3e7htcGWJMe6U7ody+S+V8YgJckQWkS9XAqNhRiRnEQBnRyhTvGaLEh5Wo+tS7Rc+U0TbT3Hhk+Dw10gsLYyJG5VkxEz57wWnWqdv0pmHpXEXgp5rzPVa/a9pHyvw9eTrdcEKGuCYpVDHVxV04EgdKpVctnQzAvXjMoTM5OKV43Va+KQyUtWkmA9FeqeyErvwsS8rz1RmJ7KbE8y9vRp9C6EykiUmiPUtI1rZ4vRupW1Uc/wEbHYmrSpSfOa7LhmmRxbQQ6C4qbVzo4TcNtRN6wpJmonV9B86GWe1bIeHNtSOQKKt6fWWbJSxrohiSVKOpudM3qhJEpNASqu0jOOjKVEEkG9gB9o/1NW1pJpNS3cZFiB17+mwlszsMDXLFQOCWZeaYdSWMCyeF0qGQjBgj3xriBbVsZMBN16Wg6srpZYCSieQvPumUQtG6OmgVvOHDzXuFbKn60cxo3UtAxZezJy3aSNVfQqsAZYqpxYx1vd8ylr9CWWuIqn4gCs1BRrk1yvnPlmq5ecmGWl4ujya9QXCALWRGwqOzbMRYhclRyBdaxq6/yELFnFq2Oob8VhKydfUtizRmqqzFkYdFoyALiie72mi4nVA2tK5Yr6VeUNpn7FiqHBi336maBM3sACoXFTJBBYoNQhGKxYWNMqrIni1DwMtWBmhr8zGrcmDEBwtuZTFuTr6LwuSEJqYiG5xCpqqjw1wTRCMeGcoHpkkI6OWNZ+5C6kembB6nUgtl97WorSqAkdWpNi8cuYLA0LjVvTb+2nrKjsXUjka3RnpeQ+ATT7It6WqBT0qJ6GNr0zrJkeMZD4Fo8tTy1vfi1UrZYRVktw12zWwdCZJKSmk6bD1BTG43Q6Qb1AFYbwdeKFnRDVTrYEg+8Y5dxL+vVkQ4VEYi+1qxML6ekaYbgvY5YZCMroRVb16qSrOMAqEaOKuEzdJ9YZMm7qFjC0SxL17MTIpCjFxp4gin8vWeSGFdhz6c5nkFC9NFwGX3byhzNctWdUXqL7M/Q9bY0Mrl4KGPG4ihEJUqQrV/sgkFVZLSTIXVH1KMXD+pmqKuwP5hPHGioyGGnXNZLkjTSB2hnWyvKlBIqqijrujCoqDGfSGmIAV5ws1pagcVzbZmBIbs2Q3Jr4S+UkR16QiskP7OUQVRDIOIg4FQxkKWZ8JKrRJou5F6PsZRT2uk29s4t1kpl+18sg7OQSr3VkOlYIdNUibjfdOalnHWqjR7wLrvKQZO3TujE8yUgBlypiXg6TBDvtNVP5GHltbsp6+uEbZCEsyvqSsr5kclPJkulE5Upeb1amD9+TLiebCsTS3FPMlXqYQ0cgxsWcQjFgnzTFJbD3UMoUmCwBGu+KAc8UASWCkCkbWUglsU5mPOUcXLKPpnamTTtXYk/aTKY5x1IKwUGwF07/iZw0qU4MLGKNKVZ1bsXsW7aflUnETJooRE9thugqs/0i1VR9FLXWnjHadCy6sas7uzJZsGNkVkGjviBYUHBirBcfrjbGvrv7Jn1a7EgQ49I8YsCA8xXd9zY5VoSKXXIBUUeQuIgn/RCJiFawJlydkuoTmypFeUTyTHKbknylJF8pFSHOus2sxs+UKmaktNLlmcfJlDlWQmeqWctqjuzTwAPDHDqmIOXElh0Mb4p3WeeH9W0YshQjqDJV+IyUvM6KveGX5LvMhmA1tPDUcQSuTSI2qrmp+hmN9XiXa2P97yRkLwdoq/myHGWS0IgRuDZdsXiXa2N92sSSYlGxQvNlYHLU0uC7SuRg3GGUxuPaWDeM0j9G4JmUAZCjfL3my0T36NTAd7k2tr2J4vMcQUXUE6s/ESyLVfBMspsN6y5mQnPxlGtjQUXiizEC12bOx9KCtPsybcR4Sl7CBk6J5RsSyzcklm9ILN+QiGAklm9ILN/A0h+Mtu/p8me/wGD1BBmZdyVgoGZAlnQIppqymw4bjDDD2EVzWGU7zB0aIE5GdsFR2tqda5vSAu9YrMtRBJ2LjjC6ga6JuCLsaUHcrXP5FsYWdDTiO5dzdakXtyqi0UP/UKyNqeWMeuh0TytGwhNwBxVZMaqV1qM2GrIjVbBSFy5SAsF9Gx0LNiyKDARBMJTQwQyxdsZrsolRJUzFTaZKSVHWaWsEnbDOW6PT2wrJZMo867axhRPrW7G5D2ugNdLQ2OiGhXLYrYpF/VgVsGXQiQCMhsEKzLyRgewqgewNXpMTsIl5o+AlltFjLR+WcWB9H7ZBa2VksFhZI9SBbbfihquYq1vyiRmwlZwz2gomGbHvbMrEYzOFYqb4Y2/PGNctLIQisJNnjCCWlikq2XgzspqI/lKAZopKdnVKrHYdTwXaZwrbTEGX6cDLFH+ZlykT2cqMC2Vn+kijEjbG3vTxLnNOGMRd0uFYEhsriaOVrm/A7IPSmTPud+KGJ4yLyEQZMxWfzMiUTN8UO5HH+aVyK2CkF9bRCzpgxzhWAnMZJNq1let1ybR2+mrn4j88zh0R/84F4NyUkBeiI7BMH2ti/GRDzUiSuGVXp4IQUiG4iQUfWZWZDTldEymadypcQWK/19FkNS22YWU3z1a7wvqcLPzV8wAQ7uvZUFh8lhZUJx9GKzSMTQXZpJJ9XtmOlbWDWJKTVTY7erGk77FPIiuQuQBZKZ7ECtQsQM060WzayU6pLM/FusQsmchGlQ0VQ8r9kimlzGql1csatu7rWeqCspJkLyHM2pud88RdAHemw53aFtmT5dAcaqZsxR3WL8uoUF9le+0Yga3/GGDO9tq9PCm9gKie8baCGXr5Vnq5Vnp5VnqJnt6RanTOuXEVPQcRGq4Y7oLoicvbKBKgYgShr6Fa6TLoqHRuGetfaVIMfWMycS0uwFRgZgLXiqE3hFhSKSoZMlEybExOfGZTM4WW2clMr2ClEhezZXP5yCxQciO9rlL4ma9c60jWsiJaYlqiaCOPKys2su0FqyI2uqeNtG8Wjmdv9ZZmXM+8cNcvYWR9uG1kHvbMS3Pxup7yhlIsviZcvGdQBwO22YubBeY7JhIwkEn3ny3RWxlAnbKZO5GVrdPZn7yVmsz+5q17EKtdNAOA4P58/5HaR7//VuVAalpG7DkrnK0V3NLKmcNS8a3wKRZ6Zf95FhFlc/NWYFHPCDPmTLTSw1l1OCqQYXcr9hTToCyRzM5Ejabf0IldaO/dXZ7JYeHvYMss+mMLtmIo3MZJ3Ck6RyjKoGAEPMPHY74ywxlAHu+y3S4Du/uZDlUsOsf2iIW5KQOIe7Y4LCxVmH5PnTac61wxFXWXyujdbpDVIK0t94SQe4YK9wwKJl4XAQmUmEwkYtWkCF6QFu7YAVbiijAFtk5k+F/PAEKzJoKR8TXOl/A4y0zFikkzN2YkTMm8wpgZx7XDhrZPz+KRvQs3SmpFcAjPOgGHnhZ7T8HZM7eUgcQR+CI3TE8Yu2dWOQvZRegMuTJBPJYsjBHkqnCNMKeJEgeMcQW7uyhLT5CiZ6RJzwgr5n3FziuurWBSRi+YoxP23pHPlgrUtuJcCvnsxHPYGaQjJytpEZTMHy+dmSu6sANIJY7lUBIXN3VtELcXZFKn65O5ngsVF9bUjihRHVomMFbaBV9dFwb0ZF0ow+Vkmc1nJ1LFJACuIbrWswSISeNCJpSf1IAjn4z5luQIlZ+SD1eurMGTz8oDEbYsqVrra6znwog2Cw0GLUeeCbNXmA3L00T+l6LGC+tEKIfTSbZU3ArXTXK3TW165yx8nVzfUyZwR6w7jzPVzJImeEluU1LAlS6j6cYIrshIpaCmUsCyNhFRwCwT5rSUrs1NNuT04ZIJ7qXzIS06nUHLY1rSrGPlgsjgYKkXN6d2VzelckcQEtMnCKjKbqmFPbG4Jkv5Meu81kzderO0/kBOztYRERnN9FNurrNVSuaEcGatuCCbYbEXFlthsXdzq21l5+ZWul5Lf7b0r0bme6BGYMCtjiV7+tAioiHbyD5mByO2J2ulVLcKa++k0DFCujUkwkIKvbapEfEa5nRKqjeSaGwMzL61jW5UbKgaJEgtaeRKY8/lhvkwhQDywNCUScLU0XjXlpKyZFj7KdqxEwGTKIp3lSXDDiXxrjKA2Nsj3lXmFvuLxLtcG1k7e3tk9jiJp8p5YoeSeFeChN1B4l3upkRnvMvdZI4hu8Vk9oWJp1wbcwzZvyVG4G4yx5C9U2IErk3yhF3vWCaZ/Qdb3krJbjZubyS32KCd/bjZjpvdOyrW7GHUoJwtLCvqZtWJO001iwWxgyXywDPI32GP2PxWiBC7FbOVXcsgPPHZVvIsyjSI8QV/gecubiafiipR/oDvig1kncqYma5KtKPWuHS4hKqr9Et/jc6OyHfm17hiirHITuUIYvWRPcl3uWJGj2aKsUwxlinGslShGIC7qYCJeJdrU4x2vMu1KWQjpsuTSoEVtaJESQostpKKr3HfKLAyBVamwMpMis9Mis8UWJlsjDVqYjO5bxRYmUnxrPkS43LfmBTP2jdxoMhhmBTPKjcxAtfGpHjWs4kReN+YFJ+ZFM/ckMzckHjKM0mZkpkUz+5iMS7vG5PimXkQF1bu6syk+MykeOZExLjkkzQCmJ8SI3BtCt2Od3kmGU/AjKecLSHpsmEeVIzAM8mkeGY8xQg8k3JXB/PkvjEpnrlNMQLPJJPimZkUI5BPMimeOTIxgvaNDqFMfDKeipcwJDre1ZlkAmK8q7UxXyne1b6V1FaYBxXiTfKtpF7CymwxAtdGvYQOvxhB941uuHiX+0a9pKReQqQ3l9RLmKkW7+q+MVMt3uXaqJcwdyyUCtaopV5SUi9JpEOifsYqTplVnOIpC41QP2OjtxiBRVSon7HRW6jK1LadQ8cglyxZ2MtipnOLLYDYWqES22NbMNZTrcTzWMmULcEqCYlKMoJNMNnXkv5C9qRkU0v2qaS/spKMZJuVSg6xip0bmektw7RmorrM0tYVIumHoqYT1wRSpaFBWLjcF3kTLRP6hYLfsJgOOSxL7YcBTB7tOrS0TNjpM0pqYmbMvuzkxepk2HSsyq1NYKIoM0I7enUzPXa04sKLzWx1+gdp2wXDVgsD1saXBsv4dwYXde7NJJHDMKRYKxuD0l+emCvPIktxCD2uWjjrY05DYDmm+BYLhDI7m+WYQhjLPUgMJd5lvj/DloisxAis1UpPfph6qmTLPHeiMPE1SHnGjjG8lfG8Pf1cxApZ6LUXtXrxWXanpEONnSUZ88vq1Wxi2Qst6BwKAq7bMb1WFnIvAMIpM1GdUCeCeadEIkMhVYME9iJmcGl4NJgvzjvkmiQMcCUmHD1iWA+EKUJRD4m04cxY75zob09mxpwBBsi6mhar/7nnKbH5kDKSU8Xkbh4uz66Hm+X9+nAky8XqMNzu4//vVj9tDy9Xw/r66ZfjvxdX29u75VX8pjhbbO8P69VmOP17/2r787P1+vjvGOXz/sH18rA8rezyLJ394yv6l/75/4f9+/ca/kUv3r837l9p4yYiIATCbvvziWfug2Heb0IApLOnX94cnyyiR/1JeF48vnN6/ZujJHn7do63V0+/fL346fLsQSRdxH+uFjHQj7vl5jr+/PrNw+Mwp98+/fJqu/7AR88fxnl86fT+O1+t3nz18XOrh3mfpvEw59Ms4vFxgqfHk8nF4/Lt45NCf3z7+L0303uUBI/LPH7w8elis7wN6fiH+9vF9mbx+83i6+NCFzcnwZPPFj8s98MbORQS9Phfx3HfiNCZUb4b9sPup+FxmPKfG+aPm5Difx6Hqf65Yb59Z5D67wxyMdIrturVcnd4ud3dLg+P1OuCepPni9O/jzuyuDm9+KBpDLvVsH/Yx5Oe8Ww3LBeHX+6C1McPvKuXnE7ot9v96rDabo6/j6M53Ay7YXM1vHOUH58uTj85ntJIo4uClKHXjUc+vr4erg5D/P041OnAnDSei8ffT//9qEgd53g8OuOi/95KQzP57Fb65pa/pd8nWmls72e30gcm8Kn3NC7rZ7fSB772SVYaF+XtPY1/fnYr/YT3dLLSYHqf3Uo/4T2drLT5DFf6Ce/pZKXtZ7jSf/aeTmVOiKOTxPx++cN6+MPhl/XwzeZm+0ZN+fb4l9PD/xquV/e3/YNR/93256+H5fWwO4nc06OvtutfP4q3/nDYre6OgvkNGhBv/frR75b7Qzy+vw1JfDqjw+vD7/aH0/8v7nehbv01Av5fvKyfp/P6q2f5vLrqy/Puxcvq/PlvX9ZfReuksn+e/3a2eH273uyfvE7V5dmrw+HuycXF/urVcLvcf3G7utpt99ubwxdhbVxsb25WV8PF/i7k7/X+1TAcbtcXkUHbX/QXt8vV5ijDU/VkpMrz4Wa1OSkLi+X68H1M7PLs97sfl5vVX5anp19tr4ezxavV9fCn5fp+2MfKT4R5M6NQ3z5mQsPrq+E0keZhGkceHN+aUiLKOD5rojfGeXRUeHZeFc+/Ou+ePavPX0ZcfPh1U/G8rkZK3F0H9vIxX/41KVLzoOe/wYDWy18C1jmSJUYkXeIHbyd7nPJp/x6GOB2rkYBP/xdQSwMEFAAAAAgApBNuXQSs/tCiIAAA++YAAB4AAAB4bC9waXZvdFRhYmxlcy9waXZvdFRhYmxlNS54bWzt3Vtv5EZ2B/D3APkOQr/LYlWRRdKwvJid8WAX2CSG19k8t6XWTCMttdDdY4+z2O+e0xrvkLZ+NGaDIHnxiy8Uu1h1qupc/uf2xe/e3+8uvt8cjtv9w/UqfdasLjYPN/vb7cOb69W/f/v6clhdHE/rh9v1bv+wuV79uDmufvflP//TF4/b7/enb9ff7TavNnfbh+0pBriIwR6O16u3p9Pj51dXx5u3m/v18bP94+Yh/nK3P9yvT/G/hzdXx8fDZn17fLvZnO53V7lp6tX9evuw+jDC5/c3nzLI/frwn+8eL2/294/r0/a77W57+vFprNXF/c3nf3zzsD+c53e9en/4+8DvD88Gvt/eHPbH/d3psxjoan93t73ZPJtfaq8Om++3ZyrFUIfP321vr1d/fVXq70sdXl6O7cvhsh3zV5djflEuX70av+rrq/Tiq6b52+riYX0fk/j6I8G61cXNOmjzxxgjBX3Xj4+7H//13f13m8PrDzS6XsU+PD3+/f5wi8ev9w+nZ+9+vT6dNoeHZ89f7LZvHu43+MV/bG9Pb/+w2b55O42WVhe369P65frxvKXXq7+sd+9i0y/ePcbjze1f/n5WYuL324dvNneHzfHtmc4f/1JWF9vT5v7rw/bh9O32tNvEemLUm9jy+QCxTduH25jW02qfdvHmZ//9Kqbx9Lf7d7vT9nG3eb3d7G5fb3exyg8kunm7Pvw08+tVt/ryi93+Jo5CnMTD5u569aL0q4u77eF4+kOcts3hm/0PTz97enQe/dmDl/vd0xuH/Q9fr99sXu7fnad3nvx+97MHV19+uAFPUzrGn59eLEPMYXr+s0Xt35122/MViuGPb/c/vNg9fepnA33KDy6O+8Pp2x8fY6T18WbzcL6q8dUzxT/OYzjP4/zk4hhn7EzBp0W8P/8zPvj0l4+P8sdHv3y5LP6lXfxLt/iXuviXfvEvw+JfxsW/pCeievXT8p8RZpkMaZkOaZkQaZkSaZkUaZkWwSoW17VMjbxMjbxMjbxMjbxMjbxMjbxMjbxMjbxMjbxMjbxMjbJMjbJMjfIrV2SZGmWZGmWZGmWZGsHNlg5AMJ7FPy1To12mRrtMjfYZNYKv/MpIv8JFlinULlOoXaZQu0yhdplC7TKFuuV1dcsU6pbPS7dMje5XmOoyNbplanTL1OiWqdEtU6MuU6MuU6MuU6MuU6MuU6P+ioxZpkZdpkZdpkZdpka/TI1+mRr9MjX6ZWr0y9Tol6nR/4rIXaZGv0yNfpkawzI1hmVqDMvUGJapMSxTY1imxjBRI1S1283dOtTK0MWeNKTgnldPKlT8e1Lg/lFl7lN0sxTi6Zcq2DTpj1rZNNmPj6Yt+/ho2qqPj6YtmsaaqPzx2UymTc+mPZyeTdvw8dlMOEzPsIaZBJxmjPdmOzMpqjONYXo405ymBWOGI74yggpppuhMdJ6O1/RMlMZ7IxTs0MafKd1V+4uFzHS0SWHHNs2UqIla+O5Me5vew5GZqXLTd0FA7dKMI01HEHNJDRaSGlAwNdjP1GhDG2xKanREsOoZz5lmjvdmuuJ0AabF2M6aqW8TSUGWGU+MgbDGmb4yXVMMNFMlp3MMkrcg2UzJmlYoes/MnNk1xYgdtnCmDX388Uyvmp7hyzPVLMg0bXD8j76uZ7iDI5hsSjgCMzVpmqYuOo7eTLeZjhnIM9MVJto2mMzI24XliX8m8RhuK2g406omMkhQ4dzN9ILZ0dFVxUoGkUH8RJxxZn9NggmzntkT0y3ABAsmM1O+ZkJNM0zgeDNzZbq74ozTzfiZFTZxGEwtzSCSGeV5vZ+LrkQZAqrMsIzZ8dUd0cJmcMdsjrqelCJ4cWa+zHZEI0r6zXTfaUfw4xlmMZ2t6ebMVM//HZ3zHwYQ/69/sH6/DbT2/M8zgvpzpHcBFP0UPTqXkBTPsMxROtQIxpWlImapLnkE+8kSFFl8OI9Sr2YG3XRVxTKy1Nbc4+AVqVNF6lSR5lSkJBWpU0XaWAm3yzMttzScp3QVibUiPlXELov2vSTZPTM0d9KeZjju7KFMGknQIk5XxMCKVIkyw2inr0sqF5krRfy4iIUVaeuFAlJcrMww19k8pR/PcNbpTWnNeYaizC4CBELRLW45edq2RXJbFmqRdlCkTBep9GWGxc7WLirN8NfpTRnXZYa5zt7UiqTMlxmaOvu5Lqw0niJlpNAKmSnl04fEac/M+xm7aHXqWt2OVkex5ZWZgbGzAyazisdGJkqZQbWzZYqesnryDG 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xl/worksheets/sheet1.xml xl/worksheets/sheet5.xml 1 0 Organization Code 1 Subinventory 2 Item 3 Sum of On Hand 4 Sum of Reserved 5 Sum of Unpacked 6 Sum of Packed 7 M1 8 Grand Total 9 FGI 10 CM13139 11 FldSvc 12 FS_Truck6 13 FS_Truck7 14 RIP 15 Item 16 (All) data A 3 data A1 1 data AA 3 data AA1 1 data AB 3 data AB1 1 data AC 3 data AC1 1 data AD 2 data AD1 1 data AE 3 data AE1 1 data AF 3 data AF1 1 data AG 3 data AG1 1 data AH 3 data AH1 1 data AI 3 data AI1 1 data AJ 3 data AJ1 1 data AK 3 data AK1 1 data AL 3 data AL1 1 data B 3 data B1 1 data C 3 data C1 1 data D 3 data D1 1 data E1 1 data F1 1 data G1 1 data H 3 data H1 1 data I 3 data I1 1 data J1 1 data K1 1 data L 3 data L1 1 data M 3 data M1 1 data N1 1 data O 3 data O1 1 data P 3 data P1 1 data Q1 1 data R1 1 data S 2 data S1 1 data T 3 data T1 1 data U1 1 data V1 1 data W 3 data W1 1 data X1 1 data Y 3 data Y1 1 data Z 3 data Z1 1 parameter A1 1 parameter A10 1 parameter A11 1 parameter A13 1 parameter A14 1 parameter A15 1 parameter A16 1 parameter A2 1 parameter A3 1 parameter A4 1 parameter A5 1 parameter A6 1 parameter A7 1 parameter A8 1 parameter A9 1 parameter B1 3 parameter B10 3 parameter B11 3 parameter B13 3 parameter B14 3 parameter B15 3 parameter B16 3 parameter B2 3 parameter B3 2 parameter B4 3 parameter B5 3 parameter B6 3 parameter B7 3 parameter B8 3 parameter B9 3 S Site Show Serial Numbers ENGINATICS 80597DF65E7889A40F4BDF66B1079634 ERIC.CLEGG 5A3D098F0DDB14CEE0630100007F500C CLAUDE 5A3D098F0DDB14CEE0630100007F500C DF1D2332853B26B018B6788B644B8D41