NAME kohls3_ld1
ROWS  
 N TotalCost        
 E material_balance[Pack1]        
 E material_balance[Pack2]        
 E material_balance[Pack3]        
 E demand_fit['71',S]        
 E demand_fit['73',S]        
 E demand_fit['86',S]        
 E demand_fit['99',S]        
 E demand_fit['103',S]        
 E demand_fit['126',S]        
 E demand_fit['221',S]        
 E demand_fit['225',S]        
 E demand_fit['251',S]        
 E demand_fit['270',S]        
 E demand_fit['272',S]        
 E demand_fit['275',S]        
 E demand_fit['276',S]        
 E demand_fit['280',S]        
 E demand_fit['282',S]        
 E demand_fit['283',S]        
 E demand_fit['293',S]        
 E demand_fit['298',S]        
 E demand_fit['299',S]        
 E demand_fit['301',S]        
 E demand_fit['309',S]        
 E demand_fit['310',S]        
 E demand_fit['375',S]        
 E demand_fit['378',S]        
 E demand_fit['379',S]        
 E demand_fit['381',S]        
 E demand_fit['383',S]        
 E demand_fit['384',S]        
 E demand_fit['386',S]        
 E demand_fit['388',S]        
 E demand_fit['389',S]        
 E demand_fit['390',S]        
 E demand_fit['397',S]        
 E demand_fit['398',S]        
 E demand_fit['403',S]        
 E demand_fit['418',S]        
 E demand_fit['430',S]        
 E demand_fit['431',S]        
 E demand_fit['479',S]        
 E demand_fit['502',S]        
 E demand_fit['504',S]        
 E demand_fit['512',S]        
 E demand_fit['528',S]        
 E demand_fit['533',S]        
 E demand_fit['538',S]        
 E demand_fit['552',S]        
 E demand_fit['621',S]        
 E demand_fit['639',S]        
 E demand_fit['712',S]        
 E demand_fit['781',S]        
 E demand_fit['71',M]        
 E demand_fit['73',M]        
 E demand_fit['86',M]        
 E demand_fit['99',M]        
 E demand_fit['103',M]        
 E demand_fit['126',M]        
 E demand_fit['221',M]        
 E demand_fit['225',M]        
 E demand_fit['251',M]        
 E demand_fit['270',M]        
 E demand_fit['272',M]        
 E demand_fit['275',M]        
 E demand_fit['276',M]        
 E demand_fit['280',M]        
 E demand_fit['282',M]        
 E demand_fit['283',M]        
 E demand_fit['293',M]        
 E demand_fit['298',M]        
 E demand_fit['299',M]        
 E demand_fit['301',M]        
 E demand_fit['309',M]        
 E demand_fit['310',M]        
 E demand_fit['375',M]        
 E demand_fit['378',M]        
 E demand_fit['379',M]        
 E demand_fit['381',M]        
 E demand_fit['383',M]        
 E demand_fit['384',M]        
 E demand_fit['386',M]        
 E demand_fit['388',M]        
 E demand_fit['389',M]        
 E demand_fit['390',M]        
 E demand_fit['397',M]        
 E demand_fit['398',M]        
 E demand_fit['403',M]        
 E demand_fit['418',M]        
 E demand_fit['430',M]        
 E demand_fit['431',M]        
 E demand_fit['479',M]        
 E demand_fit['502',M]        
 E demand_fit['504',M]        
 E demand_fit['512',M]        
 E demand_fit['528',M]        
 E demand_fit['533',M]        
 E demand_fit['538',M]        
 E demand_fit['552',M]        
 E demand_fit['621',M]        
 E demand_fit['639',M]        
 E demand_fit['712',M]        
 E demand_fit['781',M]        
 E demand_fit['71',L]        
 E demand_fit['73',L]        
 E demand_fit['86',L]        
 E demand_fit['99',L]        
 E demand_fit['103',L]        
 E demand_fit['126',L]        
 E demand_fit['221',L]        
 E demand_fit['225',L]        
 E demand_fit['251',L]        
 E demand_fit['270',L]        
 E demand_fit['272',L]        
 E demand_fit['275',L]        
 E demand_fit['276',L]        
 E demand_fit['280',L]        
 E demand_fit['282',L]        
 E demand_fit['283',L]        
 E demand_fit['293',L]        
 E demand_fit['298',L]        
 E demand_fit['299',L]        
 E demand_fit['301',L]        
 E demand_fit['309',L]        
 E demand_fit['310',L]        
 E demand_fit['375',L]        
 E demand_fit['378',L]        
 E demand_fit['379',L]        
 E demand_fit['381',L]        
 E demand_fit['383',L]        
 E demand_fit['384',L]        
 E demand_fit['386',L]        
 E demand_fit['388',L]        
 E demand_fit['389',L]        
 E demand_fit['390',L]        
 E demand_fit['397',L]        
 E demand_fit['398',L]        
 E demand_fit['403',L]        
 E demand_fit['418',L]        
 E demand_fit['430',L]        
 E demand_fit['431',L]        
 E demand_fit['479',L]        
 E demand_fit['502',L]        
 E demand_fit['504',L]        
 E demand_fit['512',L]        
 E demand_fit['528',L]        
 E demand_fit['533',L]        
 E demand_fit['538',L]        
 E demand_fit['552',L]        
 E demand_fit['621',L]        
 E demand_fit['639',L]        
 E demand_fit['712',L]        
 E demand_fit['781',L]        
 E demand_fit['71',XL]        
 E demand_fit['73',XL]        
 E demand_fit['86',XL]        
 E demand_fit['99',XL]        
 E demand_fit['103',XL]        
 E demand_fit['126',XL]        
 E demand_fit['221',XL]        
 E demand_fit['225',XL]        
 E demand_fit['251',XL]        
 E demand_fit['270',XL]        
 E demand_fit['272',XL]        
 E demand_fit['275',XL]        
 E demand_fit['276',XL]        
 E demand_fit['280',XL]        
 E demand_fit['282',XL]        
 E demand_fit['283',XL]        
 E demand_fit['293',XL]        
 E demand_fit['298',XL]        
 E demand_fit['299',XL]        
 E demand_fit['301',XL]        
 E demand_fit['309',XL]        
 E demand_fit['310',XL]        
 E demand_fit['375',XL]        
 E demand_fit['378',XL]        
 E demand_fit['379',XL]        
 E demand_fit['381',XL]        
 E demand_fit['383',XL]        
 E demand_fit['384',XL]        
 E demand_fit['386',XL]        
 E demand_fit['388',XL]        
 E demand_fit['389',XL]        
 E demand_fit['390',XL]        
 E demand_fit['397',XL]        
 E demand_fit['398',XL]        
 E demand_fit['403',XL]        
 E demand_fit['418',XL]        
 E demand_fit['430',XL]        
 E demand_fit['431',XL]        
 E demand_fit['479',XL]        
 E demand_fit['502',XL]        
 E demand_fit['504',XL]        
 E demand_fit['512',XL]        
 E demand_fit['528',XL]        
 E demand_fit['533',XL]        
 E demand_fit['538',XL]        
 E demand_fit['552',XL]        
 E demand_fit['621',XL]        
 E demand_fit['639',XL]        
 E demand_fit['712',XL]        
 E demand_fit['781',XL]        
COLUMNS  
   .MRK0000 'MARKER'   'INTORG'  
   NumLooseInners['71',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['71',Pack1] demand_fit['71',S] 1 demand_fit['71',M] 3
   NumLooseInners['71',Pack1] demand_fit['71',L] 4 demand_fit['71',XL] 4
   NumLooseInners['73',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['73',Pack1] demand_fit['73',S] 1 demand_fit['73',M] 3
   NumLooseInners['73',Pack1] demand_fit['73',L] 4 demand_fit['73',XL] 4
   NumLooseInners['86',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['86',Pack1] demand_fit['86',S] 1 demand_fit['86',M] 3
   NumLooseInners['86',Pack1] demand_fit['86',L] 4 demand_fit['86',XL] 4
   NumLooseInners['99',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['99',Pack1] demand_fit['99',S] 1 demand_fit['99',M] 3
   NumLooseInners['99',Pack1] demand_fit['99',L] 4 demand_fit['99',XL] 4
   NumLooseInners['103',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['103',Pack1] demand_fit['103',S] 1 demand_fit['103',M] 3
   NumLooseInners['103',Pack1] demand_fit['103',L] 4 demand_fit['103',XL] 4
   NumLooseInners['126',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['126',Pack1] demand_fit['126',S] 1 demand_fit['126',M] 3
   NumLooseInners['126',Pack1] demand_fit['126',L] 4 demand_fit['126',XL] 4
   NumLooseInners['221',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['221',Pack1] demand_fit['221',S] 1 demand_fit['221',M] 3
   NumLooseInners['221',Pack1] demand_fit['221',L] 4 demand_fit['221',XL] 4
   NumLooseInners['225',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['225',Pack1] demand_fit['225',S] 1 demand_fit['225',M] 3
   NumLooseInners['225',Pack1] demand_fit['225',L] 4 demand_fit['225',XL] 4
   NumLooseInners['251',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['251',Pack1] demand_fit['251',S] 1 demand_fit['251',M] 3
   NumLooseInners['251',Pack1] demand_fit['251',L] 4 demand_fit['251',XL] 4
   NumLooseInners['270',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['270',Pack1] demand_fit['270',S] 1 demand_fit['270',M] 3
   NumLooseInners['270',Pack1] demand_fit['270',L] 4 demand_fit['270',XL] 4
   NumLooseInners['272',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['272',Pack1] demand_fit['272',S] 1 demand_fit['272',M] 3
   NumLooseInners['272',Pack1] demand_fit['272',L] 4 demand_fit['272',XL] 4
   NumLooseInners['275',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['275',Pack1] demand_fit['275',S] 1 demand_fit['275',M] 3
   NumLooseInners['275',Pack1] demand_fit['275',L] 4 demand_fit['275',XL] 4
   NumLooseInners['276',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['276',Pack1] demand_fit['276',S] 1 demand_fit['276',M] 3
   NumLooseInners['276',Pack1] demand_fit['276',L] 4 demand_fit['276',XL] 4
   NumLooseInners['280',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['280',Pack1] demand_fit['280',S] 1 demand_fit['280',M] 3
   NumLooseInners['280',Pack1] demand_fit['280',L] 4 demand_fit['280',XL] 4
   NumLooseInners['282',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['282',Pack1] demand_fit['282',S] 1 demand_fit['282',M] 3
   NumLooseInners['282',Pack1] demand_fit['282',L] 4 demand_fit['282',XL] 4
   NumLooseInners['283',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['283',Pack1] demand_fit['283',S] 1 demand_fit['283',M] 3
   NumLooseInners['283',Pack1] demand_fit['283',L] 4 demand_fit['283',XL] 4
   NumLooseInners['293',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['293',Pack1] demand_fit['293',S] 1 demand_fit['293',M] 3
   NumLooseInners['293',Pack1] demand_fit['293',L] 4 demand_fit['293',XL] 4
   NumLooseInners['298',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['298',Pack1] demand_fit['298',S] 1 demand_fit['298',M] 3
   NumLooseInners['298',Pack1] demand_fit['298',L] 4 demand_fit['298',XL] 4
   NumLooseInners['299',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['299',Pack1] demand_fit['299',S] 1 demand_fit['299',M] 3
   NumLooseInners['299',Pack1] demand_fit['299',L] 4 demand_fit['299',XL] 4
   NumLooseInners['301',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['301',Pack1] demand_fit['301',S] 1 demand_fit['301',M] 3
   NumLooseInners['301',Pack1] demand_fit['301',L] 4 demand_fit['301',XL] 4
   NumLooseInners['309',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['309',Pack1] demand_fit['309',S] 1 demand_fit['309',M] 3
   NumLooseInners['309',Pack1] demand_fit['309',L] 4 demand_fit['309',XL] 4
   NumLooseInners['310',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['310',Pack1] demand_fit['310',S] 1 demand_fit['310',M] 3
   NumLooseInners['310',Pack1] demand_fit['310',L] 4 demand_fit['310',XL] 4
   NumLooseInners['375',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['375',Pack1] demand_fit['375',S] 1 demand_fit['375',M] 3
   NumLooseInners['375',Pack1] demand_fit['375',L] 4 demand_fit['375',XL] 4
   NumLooseInners['378',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['378',Pack1] demand_fit['378',S] 1 demand_fit['378',M] 3
   NumLooseInners['378',Pack1] demand_fit['378',L] 4 demand_fit['378',XL] 4
   NumLooseInners['379',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['379',Pack1] demand_fit['379',S] 1 demand_fit['379',M] 3
   NumLooseInners['379',Pack1] demand_fit['379',L] 4 demand_fit['379',XL] 4
   NumLooseInners['381',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['381',Pack1] demand_fit['381',S] 1 demand_fit['381',M] 3
   NumLooseInners['381',Pack1] demand_fit['381',L] 4 demand_fit['381',XL] 4
   NumLooseInners['383',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['383',Pack1] demand_fit['383',S] 1 demand_fit['383',M] 3
   NumLooseInners['383',Pack1] demand_fit['383',L] 4 demand_fit['383',XL] 4
   NumLooseInners['384',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['384',Pack1] demand_fit['384',S] 1 demand_fit['384',M] 3
   NumLooseInners['384',Pack1] demand_fit['384',L] 4 demand_fit['384',XL] 4
   NumLooseInners['386',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['386',Pack1] demand_fit['386',S] 1 demand_fit['386',M] 3
   NumLooseInners['386',Pack1] demand_fit['386',L] 4 demand_fit['386',XL] 4
   NumLooseInners['388',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['388',Pack1] demand_fit['388',S] 1 demand_fit['388',M] 3
   NumLooseInners['388',Pack1] demand_fit['388',L] 4 demand_fit['388',XL] 4
   NumLooseInners['389',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['389',Pack1] demand_fit['389',S] 1 demand_fit['389',M] 3
   NumLooseInners['389',Pack1] demand_fit['389',L] 4 demand_fit['389',XL] 4
   NumLooseInners['390',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['390',Pack1] demand_fit['390',S] 1 demand_fit['390',M] 3
   NumLooseInners['390',Pack1] demand_fit['390',L] 4 demand_fit['390',XL] 4
   NumLooseInners['397',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['397',Pack1] demand_fit['397',S] 1 demand_fit['397',M] 3
   NumLooseInners['397',Pack1] demand_fit['397',L] 4 demand_fit['397',XL] 4
   NumLooseInners['398',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['398',Pack1] demand_fit['398',S] 1 demand_fit['398',M] 3
   NumLooseInners['398',Pack1] demand_fit['398',L] 4 demand_fit['398',XL] 4
   NumLooseInners['403',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['403',Pack1] demand_fit['403',S] 1 demand_fit['403',M] 3
   NumLooseInners['403',Pack1] demand_fit['403',L] 4 demand_fit['403',XL] 4
   NumLooseInners['418',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['418',Pack1] demand_fit['418',S] 1 demand_fit['418',M] 3
   NumLooseInners['418',Pack1] demand_fit['418',L] 4 demand_fit['418',XL] 4
   NumLooseInners['430',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['430',Pack1] demand_fit['430',S] 1 demand_fit['430',M] 3
   NumLooseInners['430',Pack1] demand_fit['430',L] 4 demand_fit['430',XL] 4
   NumLooseInners['431',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['431',Pack1] demand_fit['431',S] 1 demand_fit['431',M] 3
   NumLooseInners['431',Pack1] demand_fit['431',L] 4 demand_fit['431',XL] 4
   NumLooseInners['479',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['479',Pack1] demand_fit['479',S] 1 demand_fit['479',M] 3
   NumLooseInners['479',Pack1] demand_fit['479',L] 4 demand_fit['479',XL] 4
   NumLooseInners['502',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['502',Pack1] demand_fit['502',S] 1 demand_fit['502',M] 3
   NumLooseInners['502',Pack1] demand_fit['502',L] 4 demand_fit['502',XL] 4
   NumLooseInners['504',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['504',Pack1] demand_fit['504',S] 1 demand_fit['504',M] 3
   NumLooseInners['504',Pack1] demand_fit['504',L] 4 demand_fit['504',XL] 4
   NumLooseInners['512',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['512',Pack1] demand_fit['512',S] 1 demand_fit['512',M] 3
   NumLooseInners['512',Pack1] demand_fit['512',L] 4 demand_fit['512',XL] 4
   NumLooseInners['528',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['528',Pack1] demand_fit['528',S] 1 demand_fit['528',M] 3
   NumLooseInners['528',Pack1] demand_fit['528',L] 4 demand_fit['528',XL] 4
   NumLooseInners['533',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['533',Pack1] demand_fit['533',S] 1 demand_fit['533',M] 3
   NumLooseInners['533',Pack1] demand_fit['533',L] 4 demand_fit['533',XL] 4
   NumLooseInners['538',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['538',Pack1] demand_fit['538',S] 1 demand_fit['538',M] 3
   NumLooseInners['538',Pack1] demand_fit['538',L] 4 demand_fit['538',XL] 4
   NumLooseInners['552',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['552',Pack1] demand_fit['552',S] 1 demand_fit['552',M] 3
   NumLooseInners['552',Pack1] demand_fit['552',L] 4 demand_fit['552',XL] 4
   NumLooseInners['621',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['621',Pack1] demand_fit['621',S] 1 demand_fit['621',M] 3
   NumLooseInners['621',Pack1] demand_fit['621',L] 4 demand_fit['621',XL] 4
   NumLooseInners['639',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['639',Pack1] demand_fit['639',S] 1 demand_fit['639',M] 3
   NumLooseInners['639',Pack1] demand_fit['639',L] 4 demand_fit['639',XL] 4
   NumLooseInners['712',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['712',Pack1] demand_fit['712',S] 1 demand_fit['712',M] 3
   NumLooseInners['712',Pack1] demand_fit['712',L] 4 demand_fit['712',XL] 4
   NumLooseInners['781',Pack1] TotalCost 1 material_balance[Pack1] 1
   NumLooseInners['781',Pack1] demand_fit['781',S] 1 demand_fit['781',M] 3
   NumLooseInners['781',Pack1] demand_fit['781',L] 4 demand_fit['781',XL] 4
   NumLooseInners['71',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['71',Pack2] demand_fit['71',S] 1 demand_fit['71',M] 2
   NumLooseInners['71',Pack2] demand_fit['71',L] 4 demand_fit['71',XL] 5
   NumLooseInners['73',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['73',Pack2] demand_fit['73',S] 1 demand_fit['73',M] 2
   NumLooseInners['73',Pack2] demand_fit['73',L] 4 demand_fit['73',XL] 5
   NumLooseInners['86',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['86',Pack2] demand_fit['86',S] 1 demand_fit['86',M] 2
   NumLooseInners['86',Pack2] demand_fit['86',L] 4 demand_fit['86',XL] 5
   NumLooseInners['99',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['99',Pack2] demand_fit['99',S] 1 demand_fit['99',M] 2
   NumLooseInners['99',Pack2] demand_fit['99',L] 4 demand_fit['99',XL] 5
   NumLooseInners['103',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['103',Pack2] demand_fit['103',S] 1 demand_fit['103',M] 2
   NumLooseInners['103',Pack2] demand_fit['103',L] 4 demand_fit['103',XL] 5
   NumLooseInners['126',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['126',Pack2] demand_fit['126',S] 1 demand_fit['126',M] 2
   NumLooseInners['126',Pack2] demand_fit['126',L] 4 demand_fit['126',XL] 5
   NumLooseInners['221',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['221',Pack2] demand_fit['221',S] 1 demand_fit['221',M] 2
   NumLooseInners['221',Pack2] demand_fit['221',L] 4 demand_fit['221',XL] 5
   NumLooseInners['225',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['225',Pack2] demand_fit['225',S] 1 demand_fit['225',M] 2
   NumLooseInners['225',Pack2] demand_fit['225',L] 4 demand_fit['225',XL] 5
   NumLooseInners['251',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['251',Pack2] demand_fit['251',S] 1 demand_fit['251',M] 2
   NumLooseInners['251',Pack2] demand_fit['251',L] 4 demand_fit['251',XL] 5
   NumLooseInners['270',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['270',Pack2] demand_fit['270',S] 1 demand_fit['270',M] 2
   NumLooseInners['270',Pack2] demand_fit['270',L] 4 demand_fit['270',XL] 5
   NumLooseInners['272',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['272',Pack2] demand_fit['272',S] 1 demand_fit['272',M] 2
   NumLooseInners['272',Pack2] demand_fit['272',L] 4 demand_fit['272',XL] 5
   NumLooseInners['275',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['275',Pack2] demand_fit['275',S] 1 demand_fit['275',M] 2
   NumLooseInners['275',Pack2] demand_fit['275',L] 4 demand_fit['275',XL] 5
   NumLooseInners['276',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['276',Pack2] demand_fit['276',S] 1 demand_fit['276',M] 2
   NumLooseInners['276',Pack2] demand_fit['276',L] 4 demand_fit['276',XL] 5
   NumLooseInners['280',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['280',Pack2] demand_fit['280',S] 1 demand_fit['280',M] 2
   NumLooseInners['280',Pack2] demand_fit['280',L] 4 demand_fit['280',XL] 5
   NumLooseInners['282',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['282',Pack2] demand_fit['282',S] 1 demand_fit['282',M] 2
   NumLooseInners['282',Pack2] demand_fit['282',L] 4 demand_fit['282',XL] 5
   NumLooseInners['283',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['283',Pack2] demand_fit['283',S] 1 demand_fit['283',M] 2
   NumLooseInners['283',Pack2] demand_fit['283',L] 4 demand_fit['283',XL] 5
   NumLooseInners['293',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['293',Pack2] demand_fit['293',S] 1 demand_fit['293',M] 2
   NumLooseInners['293',Pack2] demand_fit['293',L] 4 demand_fit['293',XL] 5
   NumLooseInners['298',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['298',Pack2] demand_fit['298',S] 1 demand_fit['298',M] 2
   NumLooseInners['298',Pack2] demand_fit['298',L] 4 demand_fit['298',XL] 5
   NumLooseInners['299',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['299',Pack2] demand_fit['299',S] 1 demand_fit['299',M] 2
   NumLooseInners['299',Pack2] demand_fit['299',L] 4 demand_fit['299',XL] 5
   NumLooseInners['301',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['301',Pack2] demand_fit['301',S] 1 demand_fit['301',M] 2
   NumLooseInners['301',Pack2] demand_fit['301',L] 4 demand_fit['301',XL] 5
   NumLooseInners['309',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['309',Pack2] demand_fit['309',S] 1 demand_fit['309',M] 2
   NumLooseInners['309',Pack2] demand_fit['309',L] 4 demand_fit['309',XL] 5
   NumLooseInners['310',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['310',Pack2] demand_fit['310',S] 1 demand_fit['310',M] 2
   NumLooseInners['310',Pack2] demand_fit['310',L] 4 demand_fit['310',XL] 5
   NumLooseInners['375',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['375',Pack2] demand_fit['375',S] 1 demand_fit['375',M] 2
   NumLooseInners['375',Pack2] demand_fit['375',L] 4 demand_fit['375',XL] 5
   NumLooseInners['378',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['378',Pack2] demand_fit['378',S] 1 demand_fit['378',M] 2
   NumLooseInners['378',Pack2] demand_fit['378',L] 4 demand_fit['378',XL] 5
   NumLooseInners['379',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['379',Pack2] demand_fit['379',S] 1 demand_fit['379',M] 2
   NumLooseInners['379',Pack2] demand_fit['379',L] 4 demand_fit['379',XL] 5
   NumLooseInners['381',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['381',Pack2] demand_fit['381',S] 1 demand_fit['381',M] 2
   NumLooseInners['381',Pack2] demand_fit['381',L] 4 demand_fit['381',XL] 5
   NumLooseInners['383',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['383',Pack2] demand_fit['383',S] 1 demand_fit['383',M] 2
   NumLooseInners['383',Pack2] demand_fit['383',L] 4 demand_fit['383',XL] 5
   NumLooseInners['384',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['384',Pack2] demand_fit['384',S] 1 demand_fit['384',M] 2
   NumLooseInners['384',Pack2] demand_fit['384',L] 4 demand_fit['384',XL] 5
   NumLooseInners['386',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['386',Pack2] demand_fit['386',S] 1 demand_fit['386',M] 2
   NumLooseInners['386',Pack2] demand_fit['386',L] 4 demand_fit['386',XL] 5
   NumLooseInners['388',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['388',Pack2] demand_fit['388',S] 1 demand_fit['388',M] 2
   NumLooseInners['388',Pack2] demand_fit['388',L] 4 demand_fit['388',XL] 5
   NumLooseInners['389',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['389',Pack2] demand_fit['389',S] 1 demand_fit['389',M] 2
   NumLooseInners['389',Pack2] demand_fit['389',L] 4 demand_fit['389',XL] 5
   NumLooseInners['390',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['390',Pack2] demand_fit['390',S] 1 demand_fit['390',M] 2
   NumLooseInners['390',Pack2] demand_fit['390',L] 4 demand_fit['390',XL] 5
   NumLooseInners['397',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['397',Pack2] demand_fit['397',S] 1 demand_fit['397',M] 2
   NumLooseInners['397',Pack2] demand_fit['397',L] 4 demand_fit['397',XL] 5
   NumLooseInners['398',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['398',Pack2] demand_fit['398',S] 1 demand_fit['398',M] 2
   NumLooseInners['398',Pack2] demand_fit['398',L] 4 demand_fit['398',XL] 5
   NumLooseInners['403',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['403',Pack2] demand_fit['403',S] 1 demand_fit['403',M] 2
   NumLooseInners['403',Pack2] demand_fit['403',L] 4 demand_fit['403',XL] 5
   NumLooseInners['418',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['418',Pack2] demand_fit['418',S] 1 demand_fit['418',M] 2
   NumLooseInners['418',Pack2] demand_fit['418',L] 4 demand_fit['418',XL] 5
   NumLooseInners['430',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['430',Pack2] demand_fit['430',S] 1 demand_fit['430',M] 2
   NumLooseInners['430',Pack2] demand_fit['430',L] 4 demand_fit['430',XL] 5
   NumLooseInners['431',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['431',Pack2] demand_fit['431',S] 1 demand_fit['431',M] 2
   NumLooseInners['431',Pack2] demand_fit['431',L] 4 demand_fit['431',XL] 5
   NumLooseInners['479',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['479',Pack2] demand_fit['479',S] 1 demand_fit['479',M] 2
   NumLooseInners['479',Pack2] demand_fit['479',L] 4 demand_fit['479',XL] 5
   NumLooseInners['502',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['502',Pack2] demand_fit['502',S] 1 demand_fit['502',M] 2
   NumLooseInners['502',Pack2] demand_fit['502',L] 4 demand_fit['502',XL] 5
   NumLooseInners['504',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['504',Pack2] demand_fit['504',S] 1 demand_fit['504',M] 2
   NumLooseInners['504',Pack2] demand_fit['504',L] 4 demand_fit['504',XL] 5
   NumLooseInners['512',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['512',Pack2] demand_fit['512',S] 1 demand_fit['512',M] 2
   NumLooseInners['512',Pack2] demand_fit['512',L] 4 demand_fit['512',XL] 5
   NumLooseInners['528',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['528',Pack2] demand_fit['528',S] 1 demand_fit['528',M] 2
   NumLooseInners['528',Pack2] demand_fit['528',L] 4 demand_fit['528',XL] 5
   NumLooseInners['533',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['533',Pack2] demand_fit['533',S] 1 demand_fit['533',M] 2
   NumLooseInners['533',Pack2] demand_fit['533',L] 4 demand_fit['533',XL] 5
   NumLooseInners['538',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['538',Pack2] demand_fit['538',S] 1 demand_fit['538',M] 2
   NumLooseInners['538',Pack2] demand_fit['538',L] 4 demand_fit['538',XL] 5
   NumLooseInners['552',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['552',Pack2] demand_fit['552',S] 1 demand_fit['552',M] 2
   NumLooseInners['552',Pack2] demand_fit['552',L] 4 demand_fit['552',XL] 5
   NumLooseInners['621',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['621',Pack2] demand_fit['621',S] 1 demand_fit['621',M] 2
   NumLooseInners['621',Pack2] demand_fit['621',L] 4 demand_fit['621',XL] 5
   NumLooseInners['639',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['639',Pack2] demand_fit['639',S] 1 demand_fit['639',M] 2
   NumLooseInners['639',Pack2] demand_fit['639',L] 4 demand_fit['639',XL] 5
   NumLooseInners['712',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['712',Pack2] demand_fit['712',S] 1 demand_fit['712',M] 2
   NumLooseInners['712',Pack2] demand_fit['712',L] 4 demand_fit['712',XL] 5
   NumLooseInners['781',Pack2] TotalCost 1.5 material_balance[Pack2] 1
   NumLooseInners['781',Pack2] demand_fit['781',S] 1 demand_fit['781',M] 2
   NumLooseInners['781',Pack2] demand_fit['781',L] 4 demand_fit['781',XL] 5
   NumLooseInners['71',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['71',Pack3] demand_fit['71',S] 2 demand_fit['71',M] 4
   NumLooseInners['71',Pack3] demand_fit['71',L] 3 demand_fit['71',XL] 3
   NumLooseInners['73',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['73',Pack3] demand_fit['73',S] 2 demand_fit['73',M] 4
   NumLooseInners['73',Pack3] demand_fit['73',L] 3 demand_fit['73',XL] 3
   NumLooseInners['86',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['86',Pack3] demand_fit['86',S] 2 demand_fit['86',M] 4
   NumLooseInners['86',Pack3] demand_fit['86',L] 3 demand_fit['86',XL] 3
   NumLooseInners['99',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['99',Pack3] demand_fit['99',S] 2 demand_fit['99',M] 4
   NumLooseInners['99',Pack3] demand_fit['99',L] 3 demand_fit['99',XL] 3
   NumLooseInners['103',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['103',Pack3] demand_fit['103',S] 2 demand_fit['103',M] 4
   NumLooseInners['103',Pack3] demand_fit['103',L] 3 demand_fit['103',XL] 3
   NumLooseInners['126',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['126',Pack3] demand_fit['126',S] 2 demand_fit['126',M] 4
   NumLooseInners['126',Pack3] demand_fit['126',L] 3 demand_fit['126',XL] 3
   NumLooseInners['221',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['221',Pack3] demand_fit['221',S] 2 demand_fit['221',M] 4
   NumLooseInners['221',Pack3] demand_fit['221',L] 3 demand_fit['221',XL] 3
   NumLooseInners['225',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['225',Pack3] demand_fit['225',S] 2 demand_fit['225',M] 4
   NumLooseInners['225',Pack3] demand_fit['225',L] 3 demand_fit['225',XL] 3
   NumLooseInners['251',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['251',Pack3] demand_fit['251',S] 2 demand_fit['251',M] 4
   NumLooseInners['251',Pack3] demand_fit['251',L] 3 demand_fit['251',XL] 3
   NumLooseInners['270',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['270',Pack3] demand_fit['270',S] 2 demand_fit['270',M] 4
   NumLooseInners['270',Pack3] demand_fit['270',L] 3 demand_fit['270',XL] 3
   NumLooseInners['272',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['272',Pack3] demand_fit['272',S] 2 demand_fit['272',M] 4
   NumLooseInners['272',Pack3] demand_fit['272',L] 3 demand_fit['272',XL] 3
   NumLooseInners['275',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['275',Pack3] demand_fit['275',S] 2 demand_fit['275',M] 4
   NumLooseInners['275',Pack3] demand_fit['275',L] 3 demand_fit['275',XL] 3
   NumLooseInners['276',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['276',Pack3] demand_fit['276',S] 2 demand_fit['276',M] 4
   NumLooseInners['276',Pack3] demand_fit['276',L] 3 demand_fit['276',XL] 3
   NumLooseInners['280',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['280',Pack3] demand_fit['280',S] 2 demand_fit['280',M] 4
   NumLooseInners['280',Pack3] demand_fit['280',L] 3 demand_fit['280',XL] 3
   NumLooseInners['282',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['282',Pack3] demand_fit['282',S] 2 demand_fit['282',M] 4
   NumLooseInners['282',Pack3] demand_fit['282',L] 3 demand_fit['282',XL] 3
   NumLooseInners['283',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['283',Pack3] demand_fit['283',S] 2 demand_fit['283',M] 4
   NumLooseInners['283',Pack3] demand_fit['283',L] 3 demand_fit['283',XL] 3
   NumLooseInners['293',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['293',Pack3] demand_fit['293',S] 2 demand_fit['293',M] 4
   NumLooseInners['293',Pack3] demand_fit['293',L] 3 demand_fit['293',XL] 3
   NumLooseInners['298',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['298',Pack3] demand_fit['298',S] 2 demand_fit['298',M] 4
   NumLooseInners['298',Pack3] demand_fit['298',L] 3 demand_fit['298',XL] 3
   NumLooseInners['299',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['299',Pack3] demand_fit['299',S] 2 demand_fit['299',M] 4
   NumLooseInners['299',Pack3] demand_fit['299',L] 3 demand_fit['299',XL] 3
   NumLooseInners['301',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['301',Pack3] demand_fit['301',S] 2 demand_fit['301',M] 4
   NumLooseInners['301',Pack3] demand_fit['301',L] 3 demand_fit['301',XL] 3
   NumLooseInners['309',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['309',Pack3] demand_fit['309',S] 2 demand_fit['309',M] 4
   NumLooseInners['309',Pack3] demand_fit['309',L] 3 demand_fit['309',XL] 3
   NumLooseInners['310',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['310',Pack3] demand_fit['310',S] 2 demand_fit['310',M] 4
   NumLooseInners['310',Pack3] demand_fit['310',L] 3 demand_fit['310',XL] 3
   NumLooseInners['375',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['375',Pack3] demand_fit['375',S] 2 demand_fit['375',M] 4
   NumLooseInners['375',Pack3] demand_fit['375',L] 3 demand_fit['375',XL] 3
   NumLooseInners['378',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['378',Pack3] demand_fit['378',S] 2 demand_fit['378',M] 4
   NumLooseInners['378',Pack3] demand_fit['378',L] 3 demand_fit['378',XL] 3
   NumLooseInners['379',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['379',Pack3] demand_fit['379',S] 2 demand_fit['379',M] 4
   NumLooseInners['379',Pack3] demand_fit['379',L] 3 demand_fit['379',XL] 3
   NumLooseInners['381',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['381',Pack3] demand_fit['381',S] 2 demand_fit['381',M] 4
   NumLooseInners['381',Pack3] demand_fit['381',L] 3 demand_fit['381',XL] 3
   NumLooseInners['383',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['383',Pack3] demand_fit['383',S] 2 demand_fit['383',M] 4
   NumLooseInners['383',Pack3] demand_fit['383',L] 3 demand_fit['383',XL] 3
   NumLooseInners['384',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['384',Pack3] demand_fit['384',S] 2 demand_fit['384',M] 4
   NumLooseInners['384',Pack3] demand_fit['384',L] 3 demand_fit['384',XL] 3
   NumLooseInners['386',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['386',Pack3] demand_fit['386',S] 2 demand_fit['386',M] 4
   NumLooseInners['386',Pack3] demand_fit['386',L] 3 demand_fit['386',XL] 3
   NumLooseInners['388',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['388',Pack3] demand_fit['388',S] 2 demand_fit['388',M] 4
   NumLooseInners['388',Pack3] demand_fit['388',L] 3 demand_fit['388',XL] 3
   NumLooseInners['389',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['389',Pack3] demand_fit['389',S] 2 demand_fit['389',M] 4
   NumLooseInners['389',Pack3] demand_fit['389',L] 3 demand_fit['389',XL] 3
   NumLooseInners['390',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['390',Pack3] demand_fit['390',S] 2 demand_fit['390',M] 4
   NumLooseInners['390',Pack3] demand_fit['390',L] 3 demand_fit['390',XL] 3
   NumLooseInners['397',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['397',Pack3] demand_fit['397',S] 2 demand_fit['397',M] 4
   NumLooseInners['397',Pack3] demand_fit['397',L] 3 demand_fit['397',XL] 3
   NumLooseInners['398',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['398',Pack3] demand_fit['398',S] 2 demand_fit['398',M] 4
   NumLooseInners['398',Pack3] demand_fit['398',L] 3 demand_fit['398',XL] 3
   NumLooseInners['403',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['403',Pack3] demand_fit['403',S] 2 demand_fit['403',M] 4
   NumLooseInners['403',Pack3] demand_fit['403',L] 3 demand_fit['403',XL] 3
   NumLooseInners['418',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['418',Pack3] demand_fit['418',S] 2 demand_fit['418',M] 4
   NumLooseInners['418',Pack3] demand_fit['418',L] 3 demand_fit['418',XL] 3
   NumLooseInners['430',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['430',Pack3] demand_fit['430',S] 2 demand_fit['430',M] 4
   NumLooseInners['430',Pack3] demand_fit['430',L] 3 demand_fit['430',XL] 3
   NumLooseInners['431',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['431',Pack3] demand_fit['431',S] 2 demand_fit['431',M] 4
   NumLooseInners['431',Pack3] demand_fit['431',L] 3 demand_fit['431',XL] 3
   NumLooseInners['479',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['479',Pack3] demand_fit['479',S] 2 demand_fit['479',M] 4
   NumLooseInners['479',Pack3] demand_fit['479',L] 3 demand_fit['479',XL] 3
   NumLooseInners['502',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['502',Pack3] demand_fit['502',S] 2 demand_fit['502',M] 4
   NumLooseInners['502',Pack3] demand_fit['502',L] 3 demand_fit['502',XL] 3
   NumLooseInners['504',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['504',Pack3] demand_fit['504',S] 2 demand_fit['504',M] 4
   NumLooseInners['504',Pack3] demand_fit['504',L] 3 demand_fit['504',XL] 3
   NumLooseInners['512',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['512',Pack3] demand_fit['512',S] 2 demand_fit['512',M] 4
   NumLooseInners['512',Pack3] demand_fit['512',L] 3 demand_fit['512',XL] 3
   NumLooseInners['528',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['528',Pack3] demand_fit['528',S] 2 demand_fit['528',M] 4
   NumLooseInners['528',Pack3] demand_fit['528',L] 3 demand_fit['528',XL] 3
   NumLooseInners['533',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['533',Pack3] demand_fit['533',S] 2 demand_fit['533',M] 4
   NumLooseInners['533',Pack3] demand_fit['533',L] 3 demand_fit['533',XL] 3
   NumLooseInners['538',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['538',Pack3] demand_fit['538',S] 2 demand_fit['538',M] 4
   NumLooseInners['538',Pack3] demand_fit['538',L] 3 demand_fit['538',XL] 3
   NumLooseInners['552',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['552',Pack3] demand_fit['552',S] 2 demand_fit['552',M] 4
   NumLooseInners['552',Pack3] demand_fit['552',L] 3 demand_fit['552',XL] 3
   NumLooseInners['621',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['621',Pack3] demand_fit['621',S] 2 demand_fit['621',M] 4
   NumLooseInners['621',Pack3] demand_fit['621',L] 3 demand_fit['621',XL] 3
   NumLooseInners['639',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['639',Pack3] demand_fit['639',S] 2 demand_fit['639',M] 4
   NumLooseInners['639',Pack3] demand_fit['639',L] 3 demand_fit['639',XL] 3
   NumLooseInners['712',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['712',Pack3] demand_fit['712',S] 2 demand_fit['712',M] 4
   NumLooseInners['712',Pack3] demand_fit['712',L] 3 demand_fit['712',XL] 3
   NumLooseInners['781',Pack3] TotalCost 0.5 material_balance[Pack3] 1
   NumLooseInners['781',Pack3] demand_fit['781',S] 2 demand_fit['781',M] 4
   NumLooseInners['781',Pack3] demand_fit['781',L] 3 demand_fit['781',XL] 3
   NumUnopenedOuters['71',Pack1] TotalCost 1 demand_fit['71',S] 1
   NumUnopenedOuters['71',Pack1] demand_fit['71',M] 3 demand_fit['71',L] 4
   NumUnopenedOuters['71',Pack1] demand_fit['71',XL] 4    
   NumUnopenedOuters['73',Pack1] TotalCost 1 demand_fit['73',S] 1
   NumUnopenedOuters['73',Pack1] demand_fit['73',M] 3 demand_fit['73',L] 4
   NumUnopenedOuters['73',Pack1] demand_fit['73',XL] 4    
   NumUnopenedOuters['86',Pack1] TotalCost 1 demand_fit['86',S] 1
   NumUnopenedOuters['86',Pack1] demand_fit['86',M] 3 demand_fit['86',L] 4
   NumUnopenedOuters['86',Pack1] demand_fit['86',XL] 4    
   NumUnopenedOuters['99',Pack1] TotalCost 1 demand_fit['99',S] 1
   NumUnopenedOuters['99',Pack1] demand_fit['99',M] 3 demand_fit['99',L] 4
   NumUnopenedOuters['99',Pack1] demand_fit['99',XL] 4    
   NumUnopenedOuters['103',Pack1] TotalCost 1 demand_fit['103',S] 1
   NumUnopenedOuters['103',Pack1] demand_fit['103',M] 3 demand_fit['103',L] 4
   NumUnopenedOuters['103',Pack1] demand_fit['103',XL] 4    
   NumUnopenedOuters['126',Pack1] TotalCost 1 demand_fit['126',S] 1
   NumUnopenedOuters['126',Pack1] demand_fit['126',M] 3 demand_fit['126',L] 4
   NumUnopenedOuters['126',Pack1] demand_fit['126',XL] 4    
   NumUnopenedOuters['221',Pack1] TotalCost 1 demand_fit['221',S] 1
   NumUnopenedOuters['221',Pack1] demand_fit['221',M] 3 demand_fit['221',L] 4
   NumUnopenedOuters['221',Pack1] demand_fit['221',XL] 4    
   NumUnopenedOuters['225',Pack1] TotalCost 1 demand_fit['225',S] 1
   NumUnopenedOuters['225',Pack1] demand_fit['225',M] 3 demand_fit['225',L] 4
   NumUnopenedOuters['225',Pack1] demand_fit['225',XL] 4    
   NumUnopenedOuters['251',Pack1] TotalCost 1 demand_fit['251',S] 1
   NumUnopenedOuters['251',Pack1] demand_fit['251',M] 3 demand_fit['251',L] 4
   NumUnopenedOuters['251',Pack1] demand_fit['251',XL] 4    
   NumUnopenedOuters['270',Pack1] TotalCost 1 demand_fit['270',S] 1
   NumUnopenedOuters['270',Pack1] demand_fit['270',M] 3 demand_fit['270',L] 4
   NumUnopenedOuters['270',Pack1] demand_fit['270',XL] 4    
   NumUnopenedOuters['272',Pack1] TotalCost 1 demand_fit['272',S] 1
   NumUnopenedOuters['272',Pack1] demand_fit['272',M] 3 demand_fit['272',L] 4
   NumUnopenedOuters['272',Pack1] demand_fit['272',XL] 4    
   NumUnopenedOuters['275',Pack1] TotalCost 1 demand_fit['275',S] 1
   NumUnopenedOuters['275',Pack1] demand_fit['275',M] 3 demand_fit['275',L] 4
   NumUnopenedOuters['275',Pack1] demand_fit['275',XL] 4    
   NumUnopenedOuters['276',Pack1] TotalCost 1 demand_fit['276',S] 1
   NumUnopenedOuters['276',Pack1] demand_fit['276',M] 3 demand_fit['276',L] 4
   NumUnopenedOuters['276',Pack1] demand_fit['276',XL] 4    
   NumUnopenedOuters['280',Pack1] TotalCost 1 demand_fit['280',S] 1
   NumUnopenedOuters['280',Pack1] demand_fit['280',M] 3 demand_fit['280',L] 4
   NumUnopenedOuters['280',Pack1] demand_fit['280',XL] 4    
   NumUnopenedOuters['282',Pack1] TotalCost 1 demand_fit['282',S] 1
   NumUnopenedOuters['282',Pack1] demand_fit['282',M] 3 demand_fit['282',L] 4
   NumUnopenedOuters['282',Pack1] demand_fit['282',XL] 4    
   NumUnopenedOuters['283',Pack1] TotalCost 1 demand_fit['283',S] 1
   NumUnopenedOuters['283',Pack1] demand_fit['283',M] 3 demand_fit['283',L] 4
   NumUnopenedOuters['283',Pack1] demand_fit['283',XL] 4    
   NumUnopenedOuters['293',Pack1] TotalCost 1 demand_fit['293',S] 1
   NumUnopenedOuters['293',Pack1] demand_fit['293',M] 3 demand_fit['293',L] 4
   NumUnopenedOuters['293',Pack1] demand_fit['293',XL] 4    
   NumUnopenedOuters['298',Pack1] TotalCost 1 demand_fit['298',S] 1
   NumUnopenedOuters['298',Pack1] demand_fit['298',M] 3 demand_fit['298',L] 4
   NumUnopenedOuters['298',Pack1] demand_fit['298',XL] 4    
   NumUnopenedOuters['299',Pack1] TotalCost 1 demand_fit['299',S] 1
   NumUnopenedOuters['299',Pack1] demand_fit['299',M] 3 demand_fit['299',L] 4
   NumUnopenedOuters['299',Pack1] demand_fit['299',XL] 4    
   NumUnopenedOuters['301',Pack1] TotalCost 1 demand_fit['301',S] 1
   NumUnopenedOuters['301',Pack1] demand_fit['301',M] 3 demand_fit['301',L] 4
   NumUnopenedOuters['301',Pack1] demand_fit['301',XL] 4    
   NumUnopenedOuters['309',Pack1] TotalCost 1 demand_fit['309',S] 1
   NumUnopenedOuters['309',Pack1] demand_fit['309',M] 3 demand_fit['309',L] 4
   NumUnopenedOuters['309',Pack1] demand_fit['309',XL] 4    
   NumUnopenedOuters['310',Pack1] TotalCost 1 demand_fit['310',S] 1
   NumUnopenedOuters['310',Pack1] demand_fit['310',M] 3 demand_fit['310',L] 4
   NumUnopenedOuters['310',Pack1] demand_fit['310',XL] 4    
   NumUnopenedOuters['375',Pack1] TotalCost 1 demand_fit['375',S] 1
   NumUnopenedOuters['375',Pack1] demand_fit['375',M] 3 demand_fit['375',L] 4
   NumUnopenedOuters['375',Pack1] demand_fit['375',XL] 4    
   NumUnopenedOuters['378',Pack1] TotalCost 1 demand_fit['378',S] 1
   NumUnopenedOuters['378',Pack1] demand_fit['378',M] 3 demand_fit['378',L] 4
   NumUnopenedOuters['378',Pack1] demand_fit['378',XL] 4    
   NumUnopenedOuters['379',Pack1] TotalCost 1 demand_fit['379',S] 1
   NumUnopenedOuters['379',Pack1] demand_fit['379',M] 3 demand_fit['379',L] 4
   NumUnopenedOuters['379',Pack1] demand_fit['379',XL] 4    
   NumUnopenedOuters['381',Pack1] TotalCost 1 demand_fit['381',S] 1
   NumUnopenedOuters['381',Pack1] demand_fit['381',M] 3 demand_fit['381',L] 4
   NumUnopenedOuters['381',Pack1] demand_fit['381',XL] 4    
   NumUnopenedOuters['383',Pack1] TotalCost 1 demand_fit['383',S] 1
   NumUnopenedOuters['383',Pack1] demand_fit['383',M] 3 demand_fit['383',L] 4
   NumUnopenedOuters['383',Pack1] demand_fit['383',XL] 4    
   NumUnopenedOuters['384',Pack1] TotalCost 1 demand_fit['384',S] 1
   NumUnopenedOuters['384',Pack1] demand_fit['384',M] 3 demand_fit['384',L] 4
   NumUnopenedOuters['384',Pack1] demand_fit['384',XL] 4    
   NumUnopenedOuters['386',Pack1] TotalCost 1 demand_fit['386',S] 1
   NumUnopenedOuters['386',Pack1] demand_fit['386',M] 3 demand_fit['386',L] 4
   NumUnopenedOuters['386',Pack1] demand_fit['386',XL] 4    
   NumUnopenedOuters['388',Pack1] TotalCost 1 demand_fit['388',S] 1
   NumUnopenedOuters['388',Pack1] demand_fit['388',M] 3 demand_fit['388',L] 4
   NumUnopenedOuters['388',Pack1] demand_fit['388',XL] 4    
   NumUnopenedOuters['389',Pack1] TotalCost 1 demand_fit['389',S] 1
   NumUnopenedOuters['389',Pack1] demand_fit['389',M] 3 demand_fit['389',L] 4
   NumUnopenedOuters['389',Pack1] demand_fit['389',XL] 4    
   NumUnopenedOuters['390',Pack1] TotalCost 1 demand_fit['390',S] 1
   NumUnopenedOuters['390',Pack1] demand_fit['390',M] 3 demand_fit['390',L] 4
   NumUnopenedOuters['390',Pack1] demand_fit['390',XL] 4    
   NumUnopenedOuters['397',Pack1] TotalCost 1 demand_fit['397',S] 1
   NumUnopenedOuters['397',Pack1] demand_fit['397',M] 3 demand_fit['397',L] 4
   NumUnopenedOuters['397',Pack1] demand_fit['397',XL] 4    
   NumUnopenedOuters['398',Pack1] TotalCost 1 demand_fit['398',S] 1
   NumUnopenedOuters['398',Pack1] demand_fit['398',M] 3 demand_fit['398',L] 4
   NumUnopenedOuters['398',Pack1] demand_fit['398',XL] 4    
   NumUnopenedOuters['403',Pack1] TotalCost 1 demand_fit['403',S] 1
   NumUnopenedOuters['403',Pack1] demand_fit['403',M] 3 demand_fit['403',L] 4
   NumUnopenedOuters['403',Pack1] demand_fit['403',XL] 4    
   NumUnopenedOuters['418',Pack1] TotalCost 1 demand_fit['418',S] 1
   NumUnopenedOuters['418',Pack1] demand_fit['418',M] 3 demand_fit['418',L] 4
   NumUnopenedOuters['418',Pack1] demand_fit['418',XL] 4    
   NumUnopenedOuters['430',Pack1] TotalCost 1 demand_fit['430',S] 1
   NumUnopenedOuters['430',Pack1] demand_fit['430',M] 3 demand_fit['430',L] 4
   NumUnopenedOuters['430',Pack1] demand_fit['430',XL] 4    
   NumUnopenedOuters['431',Pack1] TotalCost 1 demand_fit['431',S] 1
   NumUnopenedOuters['431',Pack1] demand_fit['431',M] 3 demand_fit['431',L] 4
   NumUnopenedOuters['431',Pack1] demand_fit['431',XL] 4    
   NumUnopenedOuters['479',Pack1] TotalCost 1 demand_fit['479',S] 1
   NumUnopenedOuters['479',Pack1] demand_fit['479',M] 3 demand_fit['479',L] 4
   NumUnopenedOuters['479',Pack1] demand_fit['479',XL] 4    
   NumUnopenedOuters['502',Pack1] TotalCost 1 demand_fit['502',S] 1
   NumUnopenedOuters['502',Pack1] demand_fit['502',M] 3 demand_fit['502',L] 4
   NumUnopenedOuters['502',Pack1] demand_fit['502',XL] 4    
   NumUnopenedOuters['504',Pack1] TotalCost 1 demand_fit['504',S] 1
   NumUnopenedOuters['504',Pack1] demand_fit['504',M] 3 demand_fit['504',L] 4
   NumUnopenedOuters['504',Pack1] demand_fit['504',XL] 4    
   NumUnopenedOuters['512',Pack1] TotalCost 1 demand_fit['512',S] 1
   NumUnopenedOuters['512',Pack1] demand_fit['512',M] 3 demand_fit['512',L] 4
   NumUnopenedOuters['512',Pack1] demand_fit['512',XL] 4    
   NumUnopenedOuters['528',Pack1] TotalCost 1 demand_fit['528',S] 1
   NumUnopenedOuters['528',Pack1] demand_fit['528',M] 3 demand_fit['528',L] 4
   NumUnopenedOuters['528',Pack1] demand_fit['528',XL] 4    
   NumUnopenedOuters['533',Pack1] TotalCost 1 demand_fit['533',S] 1
   NumUnopenedOuters['533',Pack1] demand_fit['533',M] 3 demand_fit['533',L] 4
   NumUnopenedOuters['533',Pack1] demand_fit['533',XL] 4    
   NumUnopenedOuters['538',Pack1] TotalCost 1 demand_fit['538',S] 1
   NumUnopenedOuters['538',Pack1] demand_fit['538',M] 3 demand_fit['538',L] 4
   NumUnopenedOuters['538',Pack1] demand_fit['538',XL] 4    
   NumUnopenedOuters['552',Pack1] TotalCost 1 demand_fit['552',S] 1
   NumUnopenedOuters['552',Pack1] demand_fit['552',M] 3 demand_fit['552',L] 4
   NumUnopenedOuters['552',Pack1] demand_fit['552',XL] 4    
   NumUnopenedOuters['621',Pack1] TotalCost 1 demand_fit['621',S] 1
   NumUnopenedOuters['621',Pack1] demand_fit['621',M] 3 demand_fit['621',L] 4
   NumUnopenedOuters['621',Pack1] demand_fit['621',XL] 4    
   NumUnopenedOuters['639',Pack1] TotalCost 1 demand_fit['639',S] 1
   NumUnopenedOuters['639',Pack1] demand_fit['639',M] 3 demand_fit['639',L] 4
   NumUnopenedOuters['639',Pack1] demand_fit['639',XL] 4    
   NumUnopenedOuters['712',Pack1] TotalCost 1 demand_fit['712',S] 1
   NumUnopenedOuters['712',Pack1] demand_fit['712',M] 3 demand_fit['712',L] 4
   NumUnopenedOuters['712',Pack1] demand_fit['712',XL] 4    
   NumUnopenedOuters['781',Pack1] TotalCost 1 demand_fit['781',S] 1
   NumUnopenedOuters['781',Pack1] demand_fit['781',M] 3 demand_fit['781',L] 4
   NumUnopenedOuters['781',Pack1] demand_fit['781',XL] 4    
   NumUnopenedOuters['71',Pack2] TotalCost 1.5 demand_fit['71',S] 1
   NumUnopenedOuters['71',Pack2] demand_fit['71',M] 2 demand_fit['71',L] 4
   NumUnopenedOuters['71',Pack2] demand_fit['71',XL] 5    
   NumUnopenedOuters['73',Pack2] TotalCost 1.5 demand_fit['73',S] 1
   NumUnopenedOuters['73',Pack2] demand_fit['73',M] 2 demand_fit['73',L] 4
   NumUnopenedOuters['73',Pack2] demand_fit['73',XL] 5    
   NumUnopenedOuters['86',Pack2] TotalCost 1.5 demand_fit['86',S] 1
   NumUnopenedOuters['86',Pack2] demand_fit['86',M] 2 demand_fit['86',L] 4
   NumUnopenedOuters['86',Pack2] demand_fit['86',XL] 5    
   NumUnopenedOuters['99',Pack2] TotalCost 1.5 demand_fit['99',S] 1
   NumUnopenedOuters['99',Pack2] demand_fit['99',M] 2 demand_fit['99',L] 4
   NumUnopenedOuters['99',Pack2] demand_fit['99',XL] 5    
   NumUnopenedOuters['103',Pack2] TotalCost 1.5 demand_fit['103',S] 1
   NumUnopenedOuters['103',Pack2] demand_fit['103',M] 2 demand_fit['103',L] 4
   NumUnopenedOuters['103',Pack2] demand_fit['103',XL] 5    
   NumUnopenedOuters['126',Pack2] TotalCost 1.5 demand_fit['126',S] 1
   NumUnopenedOuters['126',Pack2] demand_fit['126',M] 2 demand_fit['126',L] 4
   NumUnopenedOuters['126',Pack2] demand_fit['126',XL] 5    
   NumUnopenedOuters['221',Pack2] TotalCost 1.5 demand_fit['221',S] 1
   NumUnopenedOuters['221',Pack2] demand_fit['221',M] 2 demand_fit['221',L] 4
   NumUnopenedOuters['221',Pack2] demand_fit['221',XL] 5    
   NumUnopenedOuters['225',Pack2] TotalCost 1.5 demand_fit['225',S] 1
   NumUnopenedOuters['225',Pack2] demand_fit['225',M] 2 demand_fit['225',L] 4
   NumUnopenedOuters['225',Pack2] demand_fit['225',XL] 5    
   NumUnopenedOuters['251',Pack2] TotalCost 1.5 demand_fit['251',S] 1
   NumUnopenedOuters['251',Pack2] demand_fit['251',M] 2 demand_fit['251',L] 4
   NumUnopenedOuters['251',Pack2] demand_fit['251',XL] 5    
   NumUnopenedOuters['270',Pack2] TotalCost 1.5 demand_fit['270',S] 1
   NumUnopenedOuters['270',Pack2] demand_fit['270',M] 2 demand_fit['270',L] 4
   NumUnopenedOuters['270',Pack2] demand_fit['270',XL] 5    
   NumUnopenedOuters['272',Pack2] TotalCost 1.5 demand_fit['272',S] 1
   NumUnopenedOuters['272',Pack2] demand_fit['272',M] 2 demand_fit['272',L] 4
   NumUnopenedOuters['272',Pack2] demand_fit['272',XL] 5    
   NumUnopenedOuters['275',Pack2] TotalCost 1.5 demand_fit['275',S] 1
   NumUnopenedOuters['275',Pack2] demand_fit['275',M] 2 demand_fit['275',L] 4
   NumUnopenedOuters['275',Pack2] demand_fit['275',XL] 5    
   NumUnopenedOuters['276',Pack2] TotalCost 1.5 demand_fit['276',S] 1
   NumUnopenedOuters['276',Pack2] demand_fit['276',M] 2 demand_fit['276',L] 4
   NumUnopenedOuters['276',Pack2] demand_fit['276',XL] 5    
   NumUnopenedOuters['280',Pack2] TotalCost 1.5 demand_fit['280',S] 1
   NumUnopenedOuters['280',Pack2] demand_fit['280',M] 2 demand_fit['280',L] 4
   NumUnopenedOuters['280',Pack2] demand_fit['280',XL] 5    
   NumUnopenedOuters['282',Pack2] TotalCost 1.5 demand_fit['282',S] 1
   NumUnopenedOuters['282',Pack2] demand_fit['282',M] 2 demand_fit['282',L] 4
   NumUnopenedOuters['282',Pack2] demand_fit['282',XL] 5    
   NumUnopenedOuters['283',Pack2] TotalCost 1.5 demand_fit['283',S] 1
   NumUnopenedOuters['283',Pack2] demand_fit['283',M] 2 demand_fit['283',L] 4
   NumUnopenedOuters['283',Pack2] demand_fit['283',XL] 5    
   NumUnopenedOuters['293',Pack2] TotalCost 1.5 demand_fit['293',S] 1
   NumUnopenedOuters['293',Pack2] demand_fit['293',M] 2 demand_fit['293',L] 4
   NumUnopenedOuters['293',Pack2] demand_fit['293',XL] 5    
   NumUnopenedOuters['298',Pack2] TotalCost 1.5 demand_fit['298',S] 1
   NumUnopenedOuters['298',Pack2] demand_fit['298',M] 2 demand_fit['298',L] 4
   NumUnopenedOuters['298',Pack2] demand_fit['298',XL] 5    
   NumUnopenedOuters['299',Pack2] TotalCost 1.5 demand_fit['299',S] 1
   NumUnopenedOuters['299',Pack2] demand_fit['299',M] 2 demand_fit['299',L] 4
   NumUnopenedOuters['299',Pack2] demand_fit['299',XL] 5    
   NumUnopenedOuters['301',Pack2] TotalCost 1.5 demand_fit['301',S] 1
   NumUnopenedOuters['301',Pack2] demand_fit['301',M] 2 demand_fit['301',L] 4
   NumUnopenedOuters['301',Pack2] demand_fit['301',XL] 5    
   NumUnopenedOuters['309',Pack2] TotalCost 1.5 demand_fit['309',S] 1
   NumUnopenedOuters['309',Pack2] demand_fit['309',M] 2 demand_fit['309',L] 4
   NumUnopenedOuters['309',Pack2] demand_fit['309',XL] 5    
   NumUnopenedOuters['310',Pack2] TotalCost 1.5 demand_fit['310',S] 1
   NumUnopenedOuters['310',Pack2] demand_fit['310',M] 2 demand_fit['310',L] 4
   NumUnopenedOuters['310',Pack2] demand_fit['310',XL] 5    
   NumUnopenedOuters['375',Pack2] TotalCost 1.5 demand_fit['375',S] 1
   NumUnopenedOuters['375',Pack2] demand_fit['375',M] 2 demand_fit['375',L] 4
   NumUnopenedOuters['375',Pack2] demand_fit['375',XL] 5    
   NumUnopenedOuters['378',Pack2] TotalCost 1.5 demand_fit['378',S] 1
   NumUnopenedOuters['378',Pack2] demand_fit['378',M] 2 demand_fit['378',L] 4
   NumUnopenedOuters['378',Pack2] demand_fit['378',XL] 5    
   NumUnopenedOuters['379',Pack2] TotalCost 1.5 demand_fit['379',S] 1
   NumUnopenedOuters['379',Pack2] demand_fit['379',M] 2 demand_fit['379',L] 4
   NumUnopenedOuters['379',Pack2] demand_fit['379',XL] 5    
   NumUnopenedOuters['381',Pack2] TotalCost 1.5 demand_fit['381',S] 1
   NumUnopenedOuters['381',Pack2] demand_fit['381',M] 2 demand_fit['381',L] 4
   NumUnopenedOuters['381',Pack2] demand_fit['381',XL] 5    
   NumUnopenedOuters['383',Pack2] TotalCost 1.5 demand_fit['383',S] 1
   NumUnopenedOuters['383',Pack2] demand_fit['383',M] 2 demand_fit['383',L] 4
   NumUnopenedOuters['383',Pack2] demand_fit['383',XL] 5    
   NumUnopenedOuters['384',Pack2] TotalCost 1.5 demand_fit['384',S] 1
   NumUnopenedOuters['384',Pack2] demand_fit['384',M] 2 demand_fit['384',L] 4
   NumUnopenedOuters['384',Pack2] demand_fit['384',XL] 5    
   NumUnopenedOuters['386',Pack2] TotalCost 1.5 demand_fit['386',S] 1
   NumUnopenedOuters['386',Pack2] demand_fit['386',M] 2 demand_fit['386',L] 4
   NumUnopenedOuters['386',Pack2] demand_fit['386',XL] 5    
   NumUnopenedOuters['388',Pack2] TotalCost 1.5 demand_fit['388',S] 1
   NumUnopenedOuters['388',Pack2] demand_fit['388',M] 2 demand_fit['388',L] 4
   NumUnopenedOuters['388',Pack2] demand_fit['388',XL] 5    
   NumUnopenedOuters['389',Pack2] TotalCost 1.5 demand_fit['389',S] 1
   NumUnopenedOuters['389',Pack2] demand_fit['389',M] 2 demand_fit['389',L] 4
   NumUnopenedOuters['389',Pack2] demand_fit['389',XL] 5    
   NumUnopenedOuters['390',Pack2] TotalCost 1.5 demand_fit['390',S] 1
   NumUnopenedOuters['390',Pack2] demand_fit['390',M] 2 demand_fit['390',L] 4
   NumUnopenedOuters['390',Pack2] demand_fit['390',XL] 5    
   NumUnopenedOuters['397',Pack2] TotalCost 1.5 demand_fit['397',S] 1
   NumUnopenedOuters['397',Pack2] demand_fit['397',M] 2 demand_fit['397',L] 4
   NumUnopenedOuters['397',Pack2] demand_fit['397',XL] 5    
   NumUnopenedOuters['398',Pack2] TotalCost 1.5 demand_fit['398',S] 1
   NumUnopenedOuters['398',Pack2] demand_fit['398',M] 2 demand_fit['398',L] 4
   NumUnopenedOuters['398',Pack2] demand_fit['398',XL] 5    
   NumUnopenedOuters['403',Pack2] TotalCost 1.5 demand_fit['403',S] 1
   NumUnopenedOuters['403',Pack2] demand_fit['403',M] 2 demand_fit['403',L] 4
   NumUnopenedOuters['403',Pack2] demand_fit['403',XL] 5    
   NumUnopenedOuters['418',Pack2] TotalCost 1.5 demand_fit['418',S] 1
   NumUnopenedOuters['418',Pack2] demand_fit['418',M] 2 demand_fit['418',L] 4
   NumUnopenedOuters['418',Pack2] demand_fit['418',XL] 5    
   NumUnopenedOuters['430',Pack2] TotalCost 1.5 demand_fit['430',S] 1
   NumUnopenedOuters['430',Pack2] demand_fit['430',M] 2 demand_fit['430',L] 4
   NumUnopenedOuters['430',Pack2] demand_fit['430',XL] 5    
   NumUnopenedOuters['431',Pack2] TotalCost 1.5 demand_fit['431',S] 1
   NumUnopenedOuters['431',Pack2] demand_fit['431',M] 2 demand_fit['431',L] 4
   NumUnopenedOuters['431',Pack2] demand_fit['431',XL] 5    
   NumUnopenedOuters['479',Pack2] TotalCost 1.5 demand_fit['479',S] 1
   NumUnopenedOuters['479',Pack2] demand_fit['479',M] 2 demand_fit['479',L] 4
   NumUnopenedOuters['479',Pack2] demand_fit['479',XL] 5    
   NumUnopenedOuters['502',Pack2] TotalCost 1.5 demand_fit['502',S] 1
   NumUnopenedOuters['502',Pack2] demand_fit['502',M] 2 demand_fit['502',L] 4
   NumUnopenedOuters['502',Pack2] demand_fit['502',XL] 5    
   NumUnopenedOuters['504',Pack2] TotalCost 1.5 demand_fit['504',S] 1
   NumUnopenedOuters['504',Pack2] demand_fit['504',M] 2 demand_fit['504',L] 4
   NumUnopenedOuters['504',Pack2] demand_fit['504',XL] 5    
   NumUnopenedOuters['512',Pack2] TotalCost 1.5 demand_fit['512',S] 1
   NumUnopenedOuters['512',Pack2] demand_fit['512',M] 2 demand_fit['512',L] 4
   NumUnopenedOuters['512',Pack2] demand_fit['512',XL] 5    
   NumUnopenedOuters['528',Pack2] TotalCost 1.5 demand_fit['528',S] 1
   NumUnopenedOuters['528',Pack2] demand_fit['528',M] 2 demand_fit['528',L] 4
   NumUnopenedOuters['528',Pack2] demand_fit['528',XL] 5    
   NumUnopenedOuters['533',Pack2] TotalCost 1.5 demand_fit['533',S] 1
   NumUnopenedOuters['533',Pack2] demand_fit['533',M] 2 demand_fit['533',L] 4
   NumUnopenedOuters['533',Pack2] demand_fit['533',XL] 5    
   NumUnopenedOuters['538',Pack2] TotalCost 1.5 demand_fit['538',S] 1
   NumUnopenedOuters['538',Pack2] demand_fit['538',M] 2 demand_fit['538',L] 4
   NumUnopenedOuters['538',Pack2] demand_fit['538',XL] 5    
   NumUnopenedOuters['552',Pack2] TotalCost 1.5 demand_fit['552',S] 1
   NumUnopenedOuters['552',Pack2] demand_fit['552',M] 2 demand_fit['552',L] 4
   NumUnopenedOuters['552',Pack2] demand_fit['552',XL] 5    
   NumUnopenedOuters['621',Pack2] TotalCost 1.5 demand_fit['621',S] 1
   NumUnopenedOuters['621',Pack2] demand_fit['621',M] 2 demand_fit['621',L] 4
   NumUnopenedOuters['621',Pack2] demand_fit['621',XL] 5    
   NumUnopenedOuters['639',Pack2] TotalCost 1.5 demand_fit['639',S] 1
   NumUnopenedOuters['639',Pack2] demand_fit['639',M] 2 demand_fit['639',L] 4
   NumUnopenedOuters['639',Pack2] demand_fit['639',XL] 5    
   NumUnopenedOuters['712',Pack2] TotalCost 1.5 demand_fit['712',S] 1
   NumUnopenedOuters['712',Pack2] demand_fit['712',M] 2 demand_fit['712',L] 4
   NumUnopenedOuters['712',Pack2] demand_fit['712',XL] 5    
   NumUnopenedOuters['781',Pack2] TotalCost 1.5 demand_fit['781',S] 1
   NumUnopenedOuters['781',Pack2] demand_fit['781',M] 2 demand_fit['781',L] 4
   NumUnopenedOuters['781',Pack2] demand_fit['781',XL] 5    
   NumUnopenedOuters['71',Pack3] TotalCost 0.5 demand_fit['71',S] 2
   NumUnopenedOuters['71',Pack3] demand_fit['71',M] 4 demand_fit['71',L] 3
   NumUnopenedOuters['71',Pack3] demand_fit['71',XL] 3    
   NumUnopenedOuters['73',Pack3] TotalCost 0.5 demand_fit['73',S] 2
   NumUnopenedOuters['73',Pack3] demand_fit['73',M] 4 demand_fit['73',L] 3
   NumUnopenedOuters['73',Pack3] demand_fit['73',XL] 3    
   NumUnopenedOuters['86',Pack3] TotalCost 0.5 demand_fit['86',S] 2
   NumUnopenedOuters['86',Pack3] demand_fit['86',M] 4 demand_fit['86',L] 3
   NumUnopenedOuters['86',Pack3] demand_fit['86',XL] 3    
   NumUnopenedOuters['99',Pack3] TotalCost 0.5 demand_fit['99',S] 2
   NumUnopenedOuters['99',Pack3] demand_fit['99',M] 4 demand_fit['99',L] 3
   NumUnopenedOuters['99',Pack3] demand_fit['99',XL] 3    
   NumUnopenedOuters['103',Pack3] TotalCost 0.5 demand_fit['103',S] 2
   NumUnopenedOuters['103',Pack3] demand_fit['103',M] 4 demand_fit['103',L] 3
   NumUnopenedOuters['103',Pack3] demand_fit['103',XL] 3    
   NumUnopenedOuters['126',Pack3] TotalCost 0.5 demand_fit['126',S] 2
   NumUnopenedOuters['126',Pack3] demand_fit['126',M] 4 demand_fit['126',L] 3
   NumUnopenedOuters['126',Pack3] demand_fit['126',XL] 3    
   NumUnopenedOuters['221',Pack3] TotalCost 0.5 demand_fit['221',S] 2
   NumUnopenedOuters['221',Pack3] demand_fit['221',M] 4 demand_fit['221',L] 3
   NumUnopenedOuters['221',Pack3] demand_fit['221',XL] 3    
   NumUnopenedOuters['225',Pack3] TotalCost 0.5 demand_fit['225',S] 2
   NumUnopenedOuters['225',Pack3] demand_fit['225',M] 4 demand_fit['225',L] 3
   NumUnopenedOuters['225',Pack3] demand_fit['225',XL] 3    
   NumUnopenedOuters['251',Pack3] TotalCost 0.5 demand_fit['251',S] 2
   NumUnopenedOuters['251',Pack3] demand_fit['251',M] 4 demand_fit['251',L] 3
   NumUnopenedOuters['251',Pack3] demand_fit['251',XL] 3    
   NumUnopenedOuters['270',Pack3] TotalCost 0.5 demand_fit['270',S] 2
   NumUnopenedOuters['270',Pack3] demand_fit['270',M] 4 demand_fit['270',L] 3
   NumUnopenedOuters['270',Pack3] demand_fit['270',XL] 3    
   NumUnopenedOuters['272',Pack3] TotalCost 0.5 demand_fit['272',S] 2
   NumUnopenedOuters['272',Pack3] demand_fit['272',M] 4 demand_fit['272',L] 3
   NumUnopenedOuters['272',Pack3] demand_fit['272',XL] 3    
   NumUnopenedOuters['275',Pack3] TotalCost 0.5 demand_fit['275',S] 2
   NumUnopenedOuters['275',Pack3] demand_fit['275',M] 4 demand_fit['275',L] 3
   NumUnopenedOuters['275',Pack3] demand_fit['275',XL] 3    
   NumUnopenedOuters['276',Pack3] TotalCost 0.5 demand_fit['276',S] 2
   NumUnopenedOuters['276',Pack3] demand_fit['276',M] 4 demand_fit['276',L] 3
   NumUnopenedOuters['276',Pack3] demand_fit['276',XL] 3    
   NumUnopenedOuters['280',Pack3] TotalCost 0.5 demand_fit['280',S] 2
   NumUnopenedOuters['280',Pack3] demand_fit['280',M] 4 demand_fit['280',L] 3
   NumUnopenedOuters['280',Pack3] demand_fit['280',XL] 3    
   NumUnopenedOuters['282',Pack3] TotalCost 0.5 demand_fit['282',S] 2
   NumUnopenedOuters['282',Pack3] demand_fit['282',M] 4 demand_fit['282',L] 3
   NumUnopenedOuters['282',Pack3] demand_fit['282',XL] 3    
   NumUnopenedOuters['283',Pack3] TotalCost 0.5 demand_fit['283',S] 2
   NumUnopenedOuters['283',Pack3] demand_fit['283',M] 4 demand_fit['283',L] 3
   NumUnopenedOuters['283',Pack3] demand_fit['283',XL] 3    
   NumUnopenedOuters['293',Pack3] TotalCost 0.5 demand_fit['293',S] 2
   NumUnopenedOuters['293',Pack3] demand_fit['293',M] 4 demand_fit['293',L] 3
   NumUnopenedOuters['293',Pack3] demand_fit['293',XL] 3    
   NumUnopenedOuters['298',Pack3] TotalCost 0.5 demand_fit['298',S] 2
   NumUnopenedOuters['298',Pack3] demand_fit['298',M] 4 demand_fit['298',L] 3
   NumUnopenedOuters['298',Pack3] demand_fit['298',XL] 3    
   NumUnopenedOuters['299',Pack3] TotalCost 0.5 demand_fit['299',S] 2
   NumUnopenedOuters['299',Pack3] demand_fit['299',M] 4 demand_fit['299',L] 3
   NumUnopenedOuters['299',Pack3] demand_fit['299',XL] 3    
   NumUnopenedOuters['301',Pack3] TotalCost 0.5 demand_fit['301',S] 2
   NumUnopenedOuters['301',Pack3] demand_fit['301',M] 4 demand_fit['301',L] 3
   NumUnopenedOuters['301',Pack3] demand_fit['301',XL] 3    
   NumUnopenedOuters['309',Pack3] TotalCost 0.5 demand_fit['309',S] 2
   NumUnopenedOuters['309',Pack3] demand_fit['309',M] 4 demand_fit['309',L] 3
   NumUnopenedOuters['309',Pack3] demand_fit['309',XL] 3    
   NumUnopenedOuters['310',Pack3] TotalCost 0.5 demand_fit['310',S] 2
   NumUnopenedOuters['310',Pack3] demand_fit['310',M] 4 demand_fit['310',L] 3
   NumUnopenedOuters['310',Pack3] demand_fit['310',XL] 3    
   NumUnopenedOuters['375',Pack3] TotalCost 0.5 demand_fit['375',S] 2
   NumUnopenedOuters['375',Pack3] demand_fit['375',M] 4 demand_fit['375',L] 3
   NumUnopenedOuters['375',Pack3] demand_fit['375',XL] 3    
   NumUnopenedOuters['378',Pack3] TotalCost 0.5 demand_fit['378',S] 2
   NumUnopenedOuters['378',Pack3] demand_fit['378',M] 4 demand_fit['378',L] 3
   NumUnopenedOuters['378',Pack3] demand_fit['378',XL] 3    
   NumUnopenedOuters['379',Pack3] TotalCost 0.5 demand_fit['379',S] 2
   NumUnopenedOuters['379',Pack3] demand_fit['379',M] 4 demand_fit['379',L] 3
   NumUnopenedOuters['379',Pack3] demand_fit['379',XL] 3    
   NumUnopenedOuters['381',Pack3] TotalCost 0.5 demand_fit['381',S] 2
   NumUnopenedOuters['381',Pack3] demand_fit['381',M] 4 demand_fit['381',L] 3
   NumUnopenedOuters['381',Pack3] demand_fit['381',XL] 3    
   NumUnopenedOuters['383',Pack3] TotalCost 0.5 demand_fit['383',S] 2
   NumUnopenedOuters['383',Pack3] demand_fit['383',M] 4 demand_fit['383',L] 3
   NumUnopenedOuters['383',Pack3] demand_fit['383',XL] 3    
   NumUnopenedOuters['384',Pack3] TotalCost 0.5 demand_fit['384',S] 2
   NumUnopenedOuters['384',Pack3] demand_fit['384',M] 4 demand_fit['384',L] 3
   NumUnopenedOuters['384',Pack3] demand_fit['384',XL] 3    
   NumUnopenedOuters['386',Pack3] TotalCost 0.5 demand_fit['386',S] 2
   NumUnopenedOuters['386',Pack3] demand_fit['386',M] 4 demand_fit['386',L] 3
   NumUnopenedOuters['386',Pack3] demand_fit['386',XL] 3    
   NumUnopenedOuters['388',Pack3] TotalCost 0.5 demand_fit['388',S] 2
   NumUnopenedOuters['388',Pack3] demand_fit['388',M] 4 demand_fit['388',L] 3
   NumUnopenedOuters['388',Pack3] demand_fit['388',XL] 3    
   NumUnopenedOuters['389',Pack3] TotalCost 0.5 demand_fit['389',S] 2
   NumUnopenedOuters['389',Pack3] demand_fit['389',M] 4 demand_fit['389',L] 3
   NumUnopenedOuters['389',Pack3] demand_fit['389',XL] 3    
   NumUnopenedOuters['390',Pack3] TotalCost 0.5 demand_fit['390',S] 2
   NumUnopenedOuters['390',Pack3] demand_fit['390',M] 4 demand_fit['390',L] 3
   NumUnopenedOuters['390',Pack3] demand_fit['390',XL] 3    
   NumUnopenedOuters['397',Pack3] TotalCost 0.5 demand_fit['397',S] 2
   NumUnopenedOuters['397',Pack3] demand_fit['397',M] 4 demand_fit['397',L] 3
   NumUnopenedOuters['397',Pack3] demand_fit['397',XL] 3    
   NumUnopenedOuters['398',Pack3] TotalCost 0.5 demand_fit['398',S] 2
   NumUnopenedOuters['398',Pack3] demand_fit['398',M] 4 demand_fit['398',L] 3
   NumUnopenedOuters['398',Pack3] demand_fit['398',XL] 3    
   NumUnopenedOuters['403',Pack3] TotalCost 0.5 demand_fit['403',S] 2
   NumUnopenedOuters['403',Pack3] demand_fit['403',M] 4 demand_fit['403',L] 3
   NumUnopenedOuters['403',Pack3] demand_fit['403',XL] 3    
   NumUnopenedOuters['418',Pack3] TotalCost 0.5 demand_fit['418',S] 2
   NumUnopenedOuters['418',Pack3] demand_fit['418',M] 4 demand_fit['418',L] 3
   NumUnopenedOuters['418',Pack3] demand_fit['418',XL] 3    
   NumUnopenedOuters['430',Pack3] TotalCost 0.5 demand_fit['430',S] 2
   NumUnopenedOuters['430',Pack3] demand_fit['430',M] 4 demand_fit['430',L] 3
   NumUnopenedOuters['430',Pack3] demand_fit['430',XL] 3    
   NumUnopenedOuters['431',Pack3] TotalCost 0.5 demand_fit['431',S] 2
   NumUnopenedOuters['431',Pack3] demand_fit['431',M] 4 demand_fit['431',L] 3
   NumUnopenedOuters['431',Pack3] demand_fit['431',XL] 3    
   NumUnopenedOuters['479',Pack3] TotalCost 0.5 demand_fit['479',S] 2
   NumUnopenedOuters['479',Pack3] demand_fit['479',M] 4 demand_fit['479',L] 3
   NumUnopenedOuters['479',Pack3] demand_fit['479',XL] 3    
   NumUnopenedOuters['502',Pack3] TotalCost 0.5 demand_fit['502',S] 2
   NumUnopenedOuters['502',Pack3] demand_fit['502',M] 4 demand_fit['502',L] 3
   NumUnopenedOuters['502',Pack3] demand_fit['502',XL] 3    
   NumUnopenedOuters['504',Pack3] TotalCost 0.5 demand_fit['504',S] 2
   NumUnopenedOuters['504',Pack3] demand_fit['504',M] 4 demand_fit['504',L] 3
   NumUnopenedOuters['504',Pack3] demand_fit['504',XL] 3    
   NumUnopenedOuters['512',Pack3] TotalCost 0.5 demand_fit['512',S] 2
   NumUnopenedOuters['512',Pack3] demand_fit['512',M] 4 demand_fit['512',L] 3
   NumUnopenedOuters['512',Pack3] demand_fit['512',XL] 3    
   NumUnopenedOuters['528',Pack3] TotalCost 0.5 demand_fit['528',S] 2
   NumUnopenedOuters['528',Pack3] demand_fit['528',M] 4 demand_fit['528',L] 3
   NumUnopenedOuters['528',Pack3] demand_fit['528',XL] 3    
   NumUnopenedOuters['533',Pack3] TotalCost 0.5 demand_fit['533',S] 2
   NumUnopenedOuters['533',Pack3] demand_fit['533',M] 4 demand_fit['533',L] 3
   NumUnopenedOuters['533',Pack3] demand_fit['533',XL] 3    
   NumUnopenedOuters['538',Pack3] TotalCost 0.5 demand_fit['538',S] 2
   NumUnopenedOuters['538',Pack3] demand_fit['538',M] 4 demand_fit['538',L] 3
   NumUnopenedOuters['538',Pack3] demand_fit['538',XL] 3    
   NumUnopenedOuters['552',Pack3] TotalCost 0.5 demand_fit['552',S] 2
   NumUnopenedOuters['552',Pack3] demand_fit['552',M] 4 demand_fit['552',L] 3
   NumUnopenedOuters['552',Pack3] demand_fit['552',XL] 3    
   NumUnopenedOuters['621',Pack3] TotalCost 0.5 demand_fit['621',S] 2
   NumUnopenedOuters['621',Pack3] demand_fit['621',M] 4 demand_fit['621',L] 3
   NumUnopenedOuters['621',Pack3] demand_fit['621',XL] 3    
   NumUnopenedOuters['639',Pack3] TotalCost 0.5 demand_fit['639',S] 2
   NumUnopenedOuters['639',Pack3] demand_fit['639',M] 4 demand_fit['639',L] 3
   NumUnopenedOuters['639',Pack3] demand_fit['639',XL] 3    
   NumUnopenedOuters['712',Pack3] TotalCost 0.5 demand_fit['712',S] 2
   NumUnopenedOuters['712',Pack3] demand_fit['712',M] 4 demand_fit['712',L] 3
   NumUnopenedOuters['712',Pack3] demand_fit['712',XL] 3    
   NumUnopenedOuters['781',Pack3] TotalCost 0.5 demand_fit['781',S] 2
   NumUnopenedOuters['781',Pack3] demand_fit['781',M] 4 demand_fit['781',L] 3
   NumUnopenedOuters['781',Pack3] demand_fit['781',XL] 3    
   NumOpenedOuters[Pack1] TotalCost 1 material_balance[Pack1] -1
   NumOpenedOuters[Pack2] TotalCost 1 material_balance[Pack2] -1
   NumOpenedOuters[Pack3] TotalCost 1 material_balance[Pack3] -1
   .MRK0001 'MARKER'   'INTEND'  
   NumOver['71',S] TotalCost 1 demand_fit['71',S] -1
   NumOver['73',S] TotalCost 1 demand_fit['73',S] -1
   NumOver['86',S] TotalCost 1 demand_fit['86',S] -1
   NumOver['99',S] TotalCost 1 demand_fit['99',S] -1
   NumOver['103',S] TotalCost 1 demand_fit['103',S] -1
   NumOver['126',S] TotalCost 1 demand_fit['126',S] -1
   NumOver['221',S] TotalCost 1 demand_fit['221',S] -1
   NumOver['225',S] TotalCost 1 demand_fit['225',S] -1
   NumOver['251',S] TotalCost 1 demand_fit['251',S] -1
   NumOver['270',S] TotalCost 1 demand_fit['270',S] -1
   NumOver['272',S] TotalCost 1 demand_fit['272',S] -1
   NumOver['275',S] TotalCost 1 demand_fit['275',S] -1
   NumOver['276',S] TotalCost 1 demand_fit['276',S] -1
   NumOver['280',S] TotalCost 1 demand_fit['280',S] -1
   NumOver['282',S] TotalCost 1 demand_fit['282',S] -1
   NumOver['283',S] TotalCost 1 demand_fit['283',S] -1
   NumOver['293',S] TotalCost 1 demand_fit['293',S] -1
   NumOver['298',S] TotalCost 1 demand_fit['298',S] -1
   NumOver['299',S] TotalCost 1 demand_fit['299',S] -1
   NumOver['301',S] TotalCost 1 demand_fit['301',S] -1
   NumOver['309',S] TotalCost 1 demand_fit['309',S] -1
   NumOver['310',S] TotalCost 1 demand_fit['310',S] -1
   NumOver['375',S] TotalCost 1 demand_fit['375',S] -1
   NumOver['378',S] TotalCost 1 demand_fit['378',S] -1
   NumOver['379',S] TotalCost 1 demand_fit['379',S] -1
   NumOver['381',S] TotalCost 1 demand_fit['381',S] -1
   NumOver['383',S] TotalCost 1 demand_fit['383',S] -1
   NumOver['384',S] TotalCost 1 demand_fit['384',S] -1
   NumOver['386',S] TotalCost 1 demand_fit['386',S] -1
   NumOver['388',S] TotalCost 1 demand_fit['388',S] -1
   NumOver['389',S] TotalCost 1 demand_fit['389',S] -1
   NumOver['390',S] TotalCost 1 demand_fit['390',S] -1
   NumOver['397',S] TotalCost 1 demand_fit['397',S] -1
   NumOver['398',S] TotalCost 1 demand_fit['398',S] -1
   NumOver['403',S] TotalCost 1 demand_fit['403',S] -1
   NumOver['418',S] TotalCost 1 demand_fit['418',S] -1
   NumOver['430',S] TotalCost 1 demand_fit['430',S] -1
   NumOver['431',S] TotalCost 1 demand_fit['431',S] -1
   NumOver['479',S] TotalCost 1 demand_fit['479',S] -1
   NumOver['502',S] TotalCost 1 demand_fit['502',S] -1
   NumOver['504',S] TotalCost 1 demand_fit['504',S] -1
   NumOver['512',S] TotalCost 1 demand_fit['512',S] -1
   NumOver['528',S] TotalCost 1 demand_fit['528',S] -1
   NumOver['533',S] TotalCost 1 demand_fit['533',S] -1
   NumOver['538',S] TotalCost 1 demand_fit['538',S] -1
   NumOver['552',S] TotalCost 1 demand_fit['552',S] -1
   NumOver['621',S] TotalCost 1 demand_fit['621',S] -1
   NumOver['639',S] TotalCost 1 demand_fit['639',S] -1
   NumOver['712',S] TotalCost 1 demand_fit['712',S] -1
   NumOver['781',S] TotalCost 1 demand_fit['781',S] -1
   NumOver['71',M] TotalCost 1 demand_fit['71',M] -1
   NumOver['73',M] TotalCost 1 demand_fit['73',M] -1
   NumOver['86',M] TotalCost 1 demand_fit['86',M] -1
   NumOver['99',M] TotalCost 1 demand_fit['99',M] -1
   NumOver['103',M] TotalCost 1 demand_fit['103',M] -1
   NumOver['126',M] TotalCost 1 demand_fit['126',M] -1
   NumOver['221',M] TotalCost 1 demand_fit['221',M] -1
   NumOver['225',M] TotalCost 1 demand_fit['225',M] -1
   NumOver['251',M] TotalCost 1 demand_fit['251',M] -1
   NumOver['270',M] TotalCost 1 demand_fit['270',M] -1
   NumOver['272',M] TotalCost 1 demand_fit['272',M] -1
   NumOver['275',M] TotalCost 1 demand_fit['275',M] -1
   NumOver['276',M] TotalCost 1 demand_fit['276',M] -1
   NumOver['280',M] TotalCost 1 demand_fit['280',M] -1
   NumOver['282',M] TotalCost 1 demand_fit['282',M] -1
   NumOver['283',M] TotalCost 1 demand_fit['283',M] -1
   NumOver['293',M] TotalCost 1 demand_fit['293',M] -1
   NumOver['298',M] TotalCost 1 demand_fit['298',M] -1
   NumOver['299',M] TotalCost 1 demand_fit['299',M] -1
   NumOver['301',M] TotalCost 1 demand_fit['301',M] -1
   NumOver['309',M] TotalCost 1 demand_fit['309',M] -1
   NumOver['310',M] TotalCost 1 demand_fit['310',M] -1
   NumOver['375',M] TotalCost 1 demand_fit['375',M] -1
   NumOver['378',M] TotalCost 1 demand_fit['378',M] -1
   NumOver['379',M] TotalCost 1 demand_fit['379',M] -1
   NumOver['381',M] TotalCost 1 demand_fit['381',M] -1
   NumOver['383',M] TotalCost 1 demand_fit['383',M] -1
   NumOver['384',M] TotalCost 1 demand_fit['384',M] -1
   NumOver['386',M] TotalCost 1 demand_fit['386',M] -1
   NumOver['388',M] TotalCost 1 demand_fit['388',M] -1
   NumOver['389',M] TotalCost 1 demand_fit['389',M] -1
   NumOver['390',M] TotalCost 1 demand_fit['390',M] -1
   NumOver['397',M] TotalCost 1 demand_fit['397',M] -1
   NumOver['398',M] TotalCost 1 demand_fit['398',M] -1
   NumOver['403',M] TotalCost 1 demand_fit['403',M] -1
   NumOver['418',M] TotalCost 1 demand_fit['418',M] -1
   NumOver['430',M] TotalCost 1 demand_fit['430',M] -1
   NumOver['431',M] TotalCost 1 demand_fit['431',M] -1
   NumOver['479',M] TotalCost 1 demand_fit['479',M] -1
   NumOver['502',M] TotalCost 1 demand_fit['502',M] -1
   NumOver['504',M] TotalCost 1 demand_fit['504',M] -1
   NumOver['512',M] TotalCost 1 demand_fit['512',M] -1
   NumOver['528',M] TotalCost 1 demand_fit['528',M] -1
   NumOver['533',M] TotalCost 1 demand_fit['533',M] -1
   NumOver['538',M] TotalCost 1 demand_fit['538',M] -1
   NumOver['552',M] TotalCost 1 demand_fit['552',M] -1
   NumOver['621',M] TotalCost 1 demand_fit['621',M] -1
   NumOver['639',M] TotalCost 1 demand_fit['639',M] -1
   NumOver['712',M] TotalCost 1 demand_fit['712',M] -1
   NumOver['781',M] TotalCost 1 demand_fit['781',M] -1
   NumOver['71',L] TotalCost 1 demand_fit['71',L] -1
   NumOver['73',L] TotalCost 1 demand_fit['73',L] -1
   NumOver['86',L] TotalCost 1 demand_fit['86',L] -1
   NumOver['99',L] TotalCost 1 demand_fit['99',L] -1
   NumOver['103',L] TotalCost 1 demand_fit['103',L] -1
   NumOver['126',L] TotalCost 1 demand_fit['126',L] -1
   NumOver['221',L] TotalCost 1 demand_fit['221',L] -1
   NumOver['225',L] TotalCost 1 demand_fit['225',L] -1
   NumOver['251',L] TotalCost 1 demand_fit['251',L] -1
   NumOver['270',L] TotalCost 1 demand_fit['270',L] -1
   NumOver['272',L] TotalCost 1 demand_fit['272',L] -1
   NumOver['275',L] TotalCost 1 demand_fit['275',L] -1
   NumOver['276',L] TotalCost 1 demand_fit['276',L] -1
   NumOver['280',L] TotalCost 1 demand_fit['280',L] -1
   NumOver['282',L] TotalCost 1 demand_fit['282',L] -1
   NumOver['283',L] TotalCost 1 demand_fit['283',L] -1
   NumOver['293',L] TotalCost 1 demand_fit['293',L] -1
   NumOver['298',L] TotalCost 1 demand_fit['298',L] -1
   NumOver['299',L] TotalCost 1 demand_fit['299',L] -1
   NumOver['301',L] TotalCost 1 demand_fit['301',L] -1
   NumOver['309',L] TotalCost 1 demand_fit['309',L] -1
   NumOver['310',L] TotalCost 1 demand_fit['310',L] -1
   NumOver['375',L] TotalCost 1 demand_fit['375',L] -1
   NumOver['378',L] TotalCost 1 demand_fit['378',L] -1
   NumOver['379',L] TotalCost 1 demand_fit['379',L] -1
   NumOver['381',L] TotalCost 1 demand_fit['381',L] -1
   NumOver['383',L] TotalCost 1 demand_fit['383',L] -1
   NumOver['384',L] TotalCost 1 demand_fit['384',L] -1
   NumOver['386',L] TotalCost 1 demand_fit['386',L] -1
   NumOver['388',L] TotalCost 1 demand_fit['388',L] -1
   NumOver['389',L] TotalCost 1 demand_fit['389',L] -1
   NumOver['390',L] TotalCost 1 demand_fit['390',L] -1
   NumOver['397',L] TotalCost 1 demand_fit['397',L] -1
   NumOver['398',L] TotalCost 1 demand_fit['398',L] -1
   NumOver['403',L] TotalCost 1 demand_fit['403',L] -1
   NumOver['418',L] TotalCost 1 demand_fit['418',L] -1
   NumOver['430',L] TotalCost 1 demand_fit['430',L] -1
   NumOver['431',L] TotalCost 1 demand_fit['431',L] -1
   NumOver['479',L] TotalCost 1 demand_fit['479',L] -1
   NumOver['502',L] TotalCost 1 demand_fit['502',L] -1
   NumOver['504',L] TotalCost 1 demand_fit['504',L] -1
   NumOver['512',L] TotalCost 1 demand_fit['512',L] -1
   NumOver['528',L] TotalCost 1 demand_fit['528',L] -1
   NumOver['533',L] TotalCost 1 demand_fit['533',L] -1
   NumOver['538',L] TotalCost 1 demand_fit['538',L] -1
   NumOver['552',L] TotalCost 1 demand_fit['552',L] -1
   NumOver['621',L] TotalCost 1 demand_fit['621',L] -1
   NumOver['639',L] TotalCost 1 demand_fit['639',L] -1
   NumOver['712',L] TotalCost 1 demand_fit['712',L] -1
   NumOver['781',L] TotalCost 1 demand_fit['781',L] -1
   NumOver['71',XL] TotalCost 1 demand_fit['71',XL] -1
   NumOver['73',XL] TotalCost 1 demand_fit['73',XL] -1
   NumOver['86',XL] TotalCost 1 demand_fit['86',XL] -1
   NumOver['99',XL] TotalCost 1 demand_fit['99',XL] -1
   NumOver['103',XL] TotalCost 1 demand_fit['103',XL] -1
   NumOver['126',XL] TotalCost 1 demand_fit['126',XL] -1
   NumOver['221',XL] TotalCost 1 demand_fit['221',XL] -1
   NumOver['225',XL] TotalCost 1 demand_fit['225',XL] -1
   NumOver['251',XL] TotalCost 1 demand_fit['251',XL] -1
   NumOver['270',XL] TotalCost 1 demand_fit['270',XL] -1
   NumOver['272',XL] TotalCost 1 demand_fit['272',XL] -1
   NumOver['275',XL] TotalCost 1 demand_fit['275',XL] -1
   NumOver['276',XL] TotalCost 1 demand_fit['276',XL] -1
   NumOver['280',XL] TotalCost 1 demand_fit['280',XL] -1
   NumOver['282',XL] TotalCost 1 demand_fit['282',XL] -1
   NumOver['283',XL] TotalCost 1 demand_fit['283',XL] -1
   NumOver['293',XL] TotalCost 1 demand_fit['293',XL] -1
   NumOver['298',XL] TotalCost 1 demand_fit['298',XL] -1
   NumOver['299',XL] TotalCost 1 demand_fit['299',XL] -1
   NumOver['301',XL] TotalCost 1 demand_fit['301',XL] -1
   NumOver['309',XL] TotalCost 1 demand_fit['309',XL] -1
   NumOver['310',XL] TotalCost 1 demand_fit['310',XL] -1
   NumOver['375',XL] TotalCost 1 demand_fit['375',XL] -1
   NumOver['378',XL] TotalCost 1 demand_fit['378',XL] -1
   NumOver['379',XL] TotalCost 1 demand_fit['379',XL] -1
   NumOver['381',XL] TotalCost 1 demand_fit['381',XL] -1
   NumOver['383',XL] TotalCost 1 demand_fit['383',XL] -1
   NumOver['384',XL] TotalCost 1 demand_fit['384',XL] -1
   NumOver['386',XL] TotalCost 1 demand_fit['386',XL] -1
   NumOver['388',XL] TotalCost 1 demand_fit['388',XL] -1
   NumOver['389',XL] TotalCost 1 demand_fit['389',XL] -1
   NumOver['390',XL] TotalCost 1 demand_fit['390',XL] -1
   NumOver['397',XL] TotalCost 1 demand_fit['397',XL] -1
   NumOver['398',XL] TotalCost 1 demand_fit['398',XL] -1
   NumOver['403',XL] TotalCost 1 demand_fit['403',XL] -1
   NumOver['418',XL] TotalCost 1 demand_fit['418',XL] -1
   NumOver['430',XL] TotalCost 1 demand_fit['430',XL] -1
   NumOver['431',XL] TotalCost 1 demand_fit['431',XL] -1
   NumOver['479',XL] TotalCost 1 demand_fit['479',XL] -1
   NumOver['502',XL] TotalCost 1 demand_fit['502',XL] -1
   NumOver['504',XL] TotalCost 1 demand_fit['504',XL] -1
   NumOver['512',XL] TotalCost 1 demand_fit['512',XL] -1
   NumOver['528',XL] TotalCost 1 demand_fit['528',XL] -1
   NumOver['533',XL] TotalCost 1 demand_fit['533',XL] -1
   NumOver['538',XL] TotalCost 1 demand_fit['538',XL] -1
   NumOver['552',XL] TotalCost 1 demand_fit['552',XL] -1
   NumOver['621',XL] TotalCost 1 demand_fit['621',XL] -1
   NumOver['639',XL] TotalCost 1 demand_fit['639',XL] -1
   NumOver['712',XL] TotalCost 1 demand_fit['712',XL] -1
   NumOver['781',XL] TotalCost 1 demand_fit['781',XL] -1
   NumUnder['71',S] TotalCost 6 demand_fit['71',S] 1
   NumUnder['73',S] TotalCost 6 demand_fit['73',S] 1
   NumUnder['86',S] TotalCost 6 demand_fit['86',S] 1
   NumUnder['99',S] TotalCost 6 demand_fit['99',S] 1
   NumUnder['103',S] TotalCost 6 demand_fit['103',S] 1
   NumUnder['126',S] TotalCost 6 demand_fit['126',S] 1
   NumUnder['221',S] TotalCost 6 demand_fit['221',S] 1
   NumUnder['225',S] TotalCost 6 demand_fit['225',S] 1
   NumUnder['251',S] TotalCost 6 demand_fit['251',S] 1
   NumUnder['270',S] TotalCost 6 demand_fit['270',S] 1
   NumUnder['272',S] TotalCost 6 demand_fit['272',S] 1
   NumUnder['275',S] TotalCost 6 demand_fit['275',S] 1
   NumUnder['276',S] TotalCost 6 demand_fit['276',S] 1
   NumUnder['280',S] TotalCost 6 demand_fit['280',S] 1
   NumUnder['282',S] TotalCost 6 demand_fit['282',S] 1
   NumUnder['283',S] TotalCost 6 demand_fit['283',S] 1
   NumUnder['293',S] TotalCost 6 demand_fit['293',S] 1
   NumUnder['298',S] TotalCost 6 demand_fit['298',S] 1
   NumUnder['299',S] TotalCost 6 demand_fit['299',S] 1
   NumUnder['301',S] TotalCost 6 demand_fit['301',S] 1
   NumUnder['309',S] TotalCost 6 demand_fit['309',S] 1
   NumUnder['310',S] TotalCost 6 demand_fit['310',S] 1
   NumUnder['375',S] TotalCost 6 demand_fit['375',S] 1
   NumUnder['378',S] TotalCost 6 demand_fit['378',S] 1
   NumUnder['379',S] TotalCost 6 demand_fit['379',S] 1
   NumUnder['381',S] TotalCost 6 demand_fit['381',S] 1
   NumUnder['383',S] TotalCost 6 demand_fit['383',S] 1
   NumUnder['384',S] TotalCost 6 demand_fit['384',S] 1
   NumUnder['386',S] TotalCost 6 demand_fit['386',S] 1
   NumUnder['388',S] TotalCost 6 demand_fit['388',S] 1
   NumUnder['389',S] TotalCost 6 demand_fit['389',S] 1
   NumUnder['390',S] TotalCost 15 demand_fit['390',S] 1
   NumUnder['397',S] TotalCost 6 demand_fit['397',S] 1
   NumUnder['398',S] TotalCost 6 demand_fit['398',S] 1
   NumUnder['403',S] TotalCost 6 demand_fit['403',S] 1
   NumUnder['418',S] TotalCost 6 demand_fit['418',S] 1
   NumUnder['430',S] TotalCost 6 demand_fit['430',S] 1
   NumUnder['431',S] TotalCost 6 demand_fit['431',S] 1
   NumUnder['479',S] TotalCost 6 demand_fit['479',S] 1
   NumUnder['502',S] TotalCost 6 demand_fit['502',S] 1
   NumUnder['504',S] TotalCost 6 demand_fit['504',S] 1
   NumUnder['512',S] TotalCost 6 demand_fit['512',S] 1
   NumUnder['528',S] TotalCost 6 demand_fit['528',S] 1
   NumUnder['533',S] TotalCost 6 demand_fit['533',S] 1
   NumUnder['538',S] TotalCost 6 demand_fit['538',S] 1
   NumUnder['552',S] TotalCost 6 demand_fit['552',S] 1
   NumUnder['621',S] TotalCost 6 demand_fit['621',S] 1
   NumUnder['639',S] TotalCost 6 demand_fit['639',S] 1
   NumUnder['712',S] TotalCost 6 demand_fit['712',S] 1
   NumUnder['781',S] TotalCost 6 demand_fit['781',S] 1
   NumUnder['71',M] TotalCost 6 demand_fit['71',M] 1
   NumUnder['73',M] TotalCost 6 demand_fit['73',M] 1
   NumUnder['86',M] TotalCost 6 demand_fit['86',M] 1
   NumUnder['99',M] TotalCost 6 demand_fit['99',M] 1
   NumUnder['103',M] TotalCost 6 demand_fit['103',M] 1
   NumUnder['126',M] TotalCost 6 demand_fit['126',M] 1
   NumUnder['221',M] TotalCost 6 demand_fit['221',M] 1
   NumUnder['225',M] TotalCost 6 demand_fit['225',M] 1
   NumUnder['251',M] TotalCost 6 demand_fit['251',M] 1
   NumUnder['270',M] TotalCost 6 demand_fit['270',M] 1
   NumUnder['272',M] TotalCost 6 demand_fit['272',M] 1
   NumUnder['275',M] TotalCost 6 demand_fit['275',M] 1
   NumUnder['276',M] TotalCost 6 demand_fit['276',M] 1
   NumUnder['280',M] TotalCost 6 demand_fit['280',M] 1
   NumUnder['282',M] TotalCost 6 demand_fit['282',M] 1
   NumUnder['283',M] TotalCost 6 demand_fit['283',M] 1
   NumUnder['293',M] TotalCost 6 demand_fit['293',M] 1
   NumUnder['298',M] TotalCost 6 demand_fit['298',M] 1
   NumUnder['299',M] TotalCost 6 demand_fit['299',M] 1
   NumUnder['301',M] TotalCost 6 demand_fit['301',M] 1
   NumUnder['309',M] TotalCost 6 demand_fit['309',M] 1
   NumUnder['310',M] TotalCost 6 demand_fit['310',M] 1
   NumUnder['375',M] TotalCost 6 demand_fit['375',M] 1
   NumUnder['378',M] TotalCost 6 demand_fit['378',M] 1
   NumUnder['379',M] TotalCost 6 demand_fit['379',M] 1
   NumUnder['381',M] TotalCost 6 demand_fit['381',M] 1
   NumUnder['383',M] TotalCost 6 demand_fit['383',M] 1
   NumUnder['384',M] TotalCost 6 demand_fit['384',M] 1
   NumUnder['386',M] TotalCost 6 demand_fit['386',M] 1
   NumUnder['388',M] TotalCost 6 demand_fit['388',M] 1
   NumUnder['389',M] TotalCost 6 demand_fit['389',M] 1
   NumUnder['390',M] TotalCost 15 demand_fit['390',M] 1
   NumUnder['397',M] TotalCost 6 demand_fit['397',M] 1
   NumUnder['398',M] TotalCost 6 demand_fit['398',M] 1
   NumUnder['403',M] TotalCost 6 demand_fit['403',M] 1
   NumUnder['418',M] TotalCost 6 demand_fit['418',M] 1
   NumUnder['430',M] TotalCost 6 demand_fit['430',M] 1
   NumUnder['431',M] TotalCost 6 demand_fit['431',M] 1
   NumUnder['479',M] TotalCost 6 demand_fit['479',M] 1
   NumUnder['502',M] TotalCost 6 demand_fit['502',M] 1
   NumUnder['504',M] TotalCost 6 demand_fit['504',M] 1
   NumUnder['512',M] TotalCost 6 demand_fit['512',M] 1
   NumUnder['528',M] TotalCost 6 demand_fit['528',M] 1
   NumUnder['533',M] TotalCost 6 demand_fit['533',M] 1
   NumUnder['538',M] TotalCost 6 demand_fit['538',M] 1
   NumUnder['552',M] TotalCost 6 demand_fit['552',M] 1
   NumUnder['621',M] TotalCost 6 demand_fit['621',M] 1
   NumUnder['639',M] TotalCost 6 demand_fit['639',M] 1
   NumUnder['712',M] TotalCost 6 demand_fit['712',M] 1
   NumUnder['781',M] TotalCost 6 demand_fit['781',M] 1
   NumUnder['71',L] TotalCost 6 demand_fit['71',L] 1
   NumUnder['73',L] TotalCost 6 demand_fit['73',L] 1
   NumUnder['86',L] TotalCost 6 demand_fit['86',L] 1
   NumUnder['99',L] TotalCost 6 demand_fit['99',L] 1
   NumUnder['103',L] TotalCost 6 demand_fit['103',L] 1
   NumUnder['126',L] TotalCost 6 demand_fit['126',L] 1
   NumUnder['221',L] TotalCost 6 demand_fit['221',L] 1
   NumUnder['225',L] TotalCost 6 demand_fit['225',L] 1
   NumUnder['251',L] TotalCost 6 demand_fit['251',L] 1
   NumUnder['270',L] TotalCost 6 demand_fit['270',L] 1
   NumUnder['272',L] TotalCost 6 demand_fit['272',L] 1
   NumUnder['275',L] TotalCost 6 demand_fit['275',L] 1
   NumUnder['276',L] TotalCost 6 demand_fit['276',L] 1
   NumUnder['280',L] TotalCost 6 demand_fit['280',L] 1
   NumUnder['282',L] TotalCost 6 demand_fit['282',L] 1
   NumUnder['283',L] TotalCost 6 demand_fit['283',L] 1
   NumUnder['293',L] TotalCost 6 demand_fit['293',L] 1
   NumUnder['298',L] TotalCost 6 demand_fit['298',L] 1
   NumUnder['299',L] TotalCost 6 demand_fit['299',L] 1
   NumUnder['301',L] TotalCost 6 demand_fit['301',L] 1
   NumUnder['309',L] TotalCost 6 demand_fit['309',L] 1
   NumUnder['310',L] TotalCost 6 demand_fit['310',L] 1
   NumUnder['375',L] TotalCost 6 demand_fit['375',L] 1
   NumUnder['378',L] TotalCost 6 demand_fit['378',L] 1
   NumUnder['379',L] TotalCost 6 demand_fit['379',L] 1
   NumUnder['381',L] TotalCost 6 demand_fit['381',L] 1
   NumUnder['383',L] TotalCost 6 demand_fit['383',L] 1
   NumUnder['384',L] TotalCost 6 demand_fit['384',L] 1
   NumUnder['386',L] TotalCost 6 demand_fit['386',L] 1
   NumUnder['388',L] TotalCost 6 demand_fit['388',L] 1
   NumUnder['389',L] TotalCost 6 demand_fit['389',L] 1
   NumUnder['390',L] TotalCost 6 demand_fit['390',L] 1
   NumUnder['397',L] TotalCost 6 demand_fit['397',L] 1
   NumUnder['398',L] TotalCost 6 demand_fit['398',L] 1
   NumUnder['403',L] TotalCost 6 demand_fit['403',L] 1
   NumUnder['418',L] TotalCost 6 demand_fit['418',L] 1
   NumUnder['430',L] TotalCost 6 demand_fit['430',L] 1
   NumUnder['431',L] TotalCost 6 demand_fit['431',L] 1
   NumUnder['479',L] TotalCost 6 demand_fit['479',L] 1
   NumUnder['502',L] TotalCost 6 demand_fit['502',L] 1
   NumUnder['504',L] TotalCost 6 demand_fit['504',L] 1
   NumUnder['512',L] TotalCost 6 demand_fit['512',L] 1
   NumUnder['528',L] TotalCost 6 demand_fit['528',L] 1
   NumUnder['533',L] TotalCost 6 demand_fit['533',L] 1
   NumUnder['538',L] TotalCost 6 demand_fit['538',L] 1
   NumUnder['552',L] TotalCost 6 demand_fit['552',L] 1
   NumUnder['621',L] TotalCost 6 demand_fit['621',L] 1
   NumUnder['639',L] TotalCost 6 demand_fit['639',L] 1
   NumUnder['712',L] TotalCost 6 demand_fit['712',L] 1
   NumUnder['781',L] TotalCost 6 demand_fit['781',L] 1
   NumUnder['71',XL] TotalCost 6 demand_fit['71',XL] 1
   NumUnder['73',XL] TotalCost 6 demand_fit['73',XL] 1
   NumUnder['86',XL] TotalCost 6 demand_fit['86',XL] 1
   NumUnder['99',XL] TotalCost 6 demand_fit['99',XL] 1
   NumUnder['103',XL] TotalCost 6 demand_fit['103',XL] 1
   NumUnder['126',XL] TotalCost 6 demand_fit['126',XL] 1
   NumUnder['221',XL] TotalCost 6 demand_fit['221',XL] 1
   NumUnder['225',XL] TotalCost 6 demand_fit['225',XL] 1
   NumUnder['251',XL] TotalCost 6 demand_fit['251',XL] 1
   NumUnder['270',XL] TotalCost 6 demand_fit['270',XL] 1
   NumUnder['272',XL] TotalCost 6 demand_fit['272',XL] 1
   NumUnder['275',XL] TotalCost 6 demand_fit['275',XL] 1
   NumUnder['276',XL] TotalCost 6 demand_fit['276',XL] 1
   NumUnder['280',XL] TotalCost 6 demand_fit['280',XL] 1
   NumUnder['282',XL] TotalCost 6 demand_fit['282',XL] 1
   NumUnder['283',XL] TotalCost 6 demand_fit['283',XL] 1
   NumUnder['293',XL] TotalCost 6 demand_fit['293',XL] 1
   NumUnder['298',XL] TotalCost 6 demand_fit['298',XL] 1
   NumUnder['299',XL] TotalCost 6 demand_fit['299',XL] 1
   NumUnder['301',XL] TotalCost 6 demand_fit['301',XL] 1
   NumUnder['309',XL] TotalCost 6 demand_fit['309',XL] 1
   NumUnder['310',XL] TotalCost 6 demand_fit['310',XL] 1
   NumUnder['375',XL] TotalCost 6 demand_fit['375',XL] 1
   NumUnder['378',XL] TotalCost 6 demand_fit['378',XL] 1
   NumUnder['379',XL] TotalCost 6 demand_fit['379',XL] 1
   NumUnder['381',XL] TotalCost 6 demand_fit['381',XL] 1
   NumUnder['383',XL] TotalCost 6 demand_fit['383',XL] 1
   NumUnder['384',XL] TotalCost 6 demand_fit['384',XL] 1
   NumUnder['386',XL] TotalCost 6 demand_fit['386',XL] 1
   NumUnder['388',XL] TotalCost 6 demand_fit['388',XL] 1
   NumUnder['389',XL] TotalCost 6 demand_fit['389',XL] 1
   NumUnder['390',XL] TotalCost 6 demand_fit['390',XL] 1
   NumUnder['397',XL] TotalCost 6 demand_fit['397',XL] 1
   NumUnder['398',XL] TotalCost 6 demand_fit['398',XL] 1
   NumUnder['403',XL] TotalCost 6 demand_fit['403',XL] 1
   NumUnder['418',XL] TotalCost 6 demand_fit['418',XL] 1
   NumUnder['430',XL] TotalCost 6 demand_fit['430',XL] 1
   NumUnder['431',XL] TotalCost 6 demand_fit['431',XL] 1
   NumUnder['479',XL] TotalCost 6 demand_fit['479',XL] 1
   NumUnder['502',XL] TotalCost 6 demand_fit['502',XL] 1
   NumUnder['504',XL] TotalCost 6 demand_fit['504',XL] 1
   NumUnder['512',XL] TotalCost 6 demand_fit['512',XL] 1
   NumUnder['528',XL] TotalCost 6 demand_fit['528',XL] 1
   NumUnder['533',XL] TotalCost 6 demand_fit['533',XL] 1
   NumUnder['538',XL] TotalCost 6 demand_fit['538',XL] 1
   NumUnder['552',XL] TotalCost 6 demand_fit['552',XL] 1
   NumUnder['621',XL] TotalCost 6 demand_fit['621',XL] 1
   NumUnder['639',XL] TotalCost 6 demand_fit['639',XL] 1
   NumUnder['712',XL] TotalCost 6 demand_fit['712',XL] 1
   NumUnder['781',XL] TotalCost 6 demand_fit['781',XL] 1
RHS  
   .RHS. demand_fit['71',S] 3.64592208    
   .RHS. demand_fit['73',S] 6.645651    
   .RHS. demand_fit['86',S] 8.46011328    
   .RHS. demand_fit['99',S] 5.2875708    
   .RHS. demand_fit['103',S] 6.38036364    
   .RHS. demand_fit['126',S] 9.3039114    
   .RHS. demand_fit['221',S] 8.46011328    
   .RHS. demand_fit['225',S] 2.11502832    
   .RHS. demand_fit['251',S] 5.2875708    
   .RHS. demand_fit['270',S] 2.73444156    
   .RHS. demand_fit['272',S] 5.2875708    
   .RHS. demand_fit['275',S] 7.40259912    
   .RHS. demand_fit['276',S] 6.645651    
   .RHS. demand_fit['280',S] 3.17254248    
   .RHS. demand_fit['282',S] 9.3039114    
   .RHS. demand_fit['283',S] 3.64592208    
   .RHS. demand_fit['293',S] 2.11502832    
   .RHS. demand_fit['298',S] 4.23005664    
   .RHS. demand_fit['299',S] 7.40259912    
   .RHS. demand_fit['301',S] 5.3165208    
   .RHS. demand_fit['309',S] 6.645651    
   .RHS. demand_fit['310',S] 4.5574026    
   .RHS. demand_fit['375',S] 6.645651    
   .RHS. demand_fit['378',S] 3.9873906    
   .RHS. demand_fit['379',S] 6.38036364    
   .RHS. demand_fit['381',S] 3.9873906    
   .RHS. demand_fit['383',S] 5.2875708    
   .RHS. demand_fit['384',S] 9.3039114    
   .RHS. demand_fit['386',S] 5.3165208    
   .RHS. demand_fit['388',S] 5.2875708    
   .RHS. demand_fit['389',S] 8.46011328    
   .RHS. demand_fit['390',S] 13.291302    
   .RHS. demand_fit['397',S] 6.645651    
   .RHS. demand_fit['398',S] 10.6330416    
   .RHS. demand_fit['403',S] 9.1148052    
   .RHS. demand_fit['418',S] 5.3165208    
   .RHS. demand_fit['430',S] 5.3165208    
   .RHS. demand_fit['431',S] 3.64592208    
   .RHS. demand_fit['479',S] 3.9873906    
   .RHS. demand_fit['502',S] 3.17254248    
   .RHS. demand_fit['504',S] 5.2875708    
   .RHS. demand_fit['512',S] 4.23005664    
   .RHS. demand_fit['528',S] 2.11502832    
   .RHS. demand_fit['533',S] 4.23005664    
   .RHS. demand_fit['538',S] 5.2875708    
   .RHS. demand_fit['552',S] 3.64592208    
   .RHS. demand_fit['621',S] 6.38036364    
   .RHS. demand_fit['639',S] 2.6582604    
   .RHS. demand_fit['712',S] 3.9873906    
   .RHS. demand_fit['781',S] 6.645651    
   .RHS. demand_fit['71',M] 10.64293584    
   .RHS. demand_fit['73',M] 15.4621008    
   .RHS. demand_fit['86',M] 23.24756064    
   .RHS. demand_fit['99',M] 14.5297254    
   .RHS. demand_fit['103',M] 18.62513772    
   .RHS. demand_fit['126',M] 21.64694112    
   .RHS. demand_fit['221',M] 23.24756064    
   .RHS. demand_fit['225',M] 5.81189016    
   .RHS. demand_fit['251',M] 14.5297254    
   .RHS. demand_fit['270',M] 7.98220188    
   .RHS. demand_fit['272',M] 14.5297254    
   .RHS. demand_fit['275',M] 20.34161556    
   .RHS. demand_fit['276',M] 15.4621008    
   .RHS. demand_fit['280',M] 8.71783524    
   .RHS. demand_fit['282',M] 21.64694112    
   .RHS. demand_fit['283',M] 10.64293584    
   .RHS. demand_fit['293',M] 5.81189016    
   .RHS. demand_fit['298',M] 11.62378032    
   .RHS. demand_fit['299',M] 20.34161556    
   .RHS. demand_fit['301',M] 12.36968064    
   .RHS. demand_fit['309',M] 15.4621008    
   .RHS. demand_fit['310',M] 13.3036698    
   .RHS. demand_fit['375',M] 15.4621008    
   .RHS. demand_fit['378',M] 9.27726048    
   .RHS. demand_fit['379',M] 18.62513772    
   .RHS. demand_fit['381',M] 9.27726048    
   .RHS. demand_fit['383',M] 14.5297254    
   .RHS. demand_fit['384',M] 21.64694112    
   .RHS. demand_fit['386',M] 12.36968064    
   .RHS. demand_fit['388',M] 14.5297254    
   .RHS. demand_fit['389',M] 23.24756064    
   .RHS. demand_fit['390',M] 30.9242016    
   .RHS. demand_fit['397',M] 15.4621008    
   .RHS. demand_fit['398',M] 24.73936128    
   .RHS. demand_fit['403',M] 26.6073396    
   .RHS. demand_fit['418',M] 12.36968064    
   .RHS. demand_fit['430',M] 12.36968064    
   .RHS. demand_fit['431',M] 10.64293584    
   .RHS. demand_fit['479',M] 9.27726048    
   .RHS. demand_fit['502',M] 8.71783524    
   .RHS. demand_fit['504',M] 14.5297254    
   .RHS. demand_fit['512',M] 11.62378032    
   .RHS. demand_fit['528',M] 5.81189016    
   .RHS. demand_fit['533',M] 11.62378032    
   .RHS. demand_fit['538',M] 14.5297254    
   .RHS. demand_fit['552',M] 10.64293584    
   .RHS. demand_fit['621',M] 18.62513772    
   .RHS. demand_fit['639',M] 6.18484032    
   .RHS. demand_fit['712',M] 9.27726048    
   .RHS. demand_fit['781',M] 15.4621008    
   .RHS. demand_fit['71',L] 15.62372304    
   .RHS. demand_fit['73',L] 18.2540478    
   .RHS. demand_fit['86',L] 31.526496    
   .RHS. demand_fit['99',L] 19.70406    
   .RHS. demand_fit['103',L] 27.34151532    
   .RHS. demand_fit['126',L] 25.55566692    
   .RHS. demand_fit['221',L] 31.526496    
   .RHS. demand_fit['225',L] 7.881624    
   .RHS. demand_fit['251',L] 19.70406    
   .RHS. demand_fit['270',L] 11.71779228    
   .RHS. demand_fit['272',L] 19.70406    
   .RHS. demand_fit['275',L] 27.585684    
   .RHS. demand_fit['276',L] 18.2540478    
   .RHS. demand_fit['280',L] 11.822436    
   .RHS. demand_fit['282',L] 25.55566692    
   .RHS. demand_fit['283',L] 15.62372304    
   .RHS. demand_fit['293',L] 7.881624    
   .RHS. demand_fit['298',L] 15.763248    
   .RHS. demand_fit['299',L] 27.585684    
   .RHS. demand_fit['301',L] 14.60323824    
   .RHS. demand_fit['309',L] 18.2540478    
   .RHS. demand_fit['310',L] 19.5296538    
   .RHS. demand_fit['375',L] 18.2540478    
   .RHS. demand_fit['378',L] 10.95242868    
   .RHS. demand_fit['379',L] 27.34151532    
   .RHS. demand_fit['381',L] 10.95242868    
   .RHS. demand_fit['383',L] 19.70406    
   .RHS. demand_fit['384',L] 25.55566692    
   .RHS. demand_fit['386',L] 14.60323824    
   .RHS. demand_fit['388',L] 19.70406    
   .RHS. demand_fit['389',L] 31.526496    
   .RHS. demand_fit['390',L] 36.5080956    
   .RHS. demand_fit['397',L] 18.2540478    
   .RHS. demand_fit['398',L] 29.20647648    
   .RHS. demand_fit['403',L] 39.0593076    
   .RHS. demand_fit['418',L] 14.60323824    
   .RHS. demand_fit['430',L] 14.60323824    
   .RHS. demand_fit['431',L] 15.62372304    
   .RHS. demand_fit['479',L] 10.95242868    
   .RHS. demand_fit['502',L] 11.822436    
   .RHS. demand_fit['504',L] 19.70406    
   .RHS. demand_fit['512',L] 15.763248    
   .RHS. demand_fit['528',L] 7.881624    
   .RHS. demand_fit['533',L] 15.763248    
   .RHS. demand_fit['538',L] 19.70406    
   .RHS. demand_fit['552',L] 15.62372304    
   .RHS. demand_fit['621',L] 27.34151532    
   .RHS. demand_fit['639',L] 7.30161912    
   .RHS. demand_fit['712',L] 10.95242868    
   .RHS. demand_fit['781',L] 18.2540478    
   .RHS. demand_fit['71',XL] 18.08741904    
   .RHS. demand_fit['73',XL] 19.6382004    
   .RHS. demand_fit['86',XL] 32.76582912    
   .RHS. demand_fit['99',XL] 20.4786432    
   .RHS. demand_fit['103',XL] 31.65298332    
   .RHS. demand_fit['126',XL] 27.49348056    
   .RHS. demand_fit['221',XL] 32.76582912    
   .RHS. demand_fit['225',XL] 8.19145728    
   .RHS. demand_fit['251',XL] 20.4786432    
   .RHS. demand_fit['270',XL] 13.56556428    
   .RHS. demand_fit['272',XL] 20.4786432    
   .RHS. demand_fit['275',XL] 28.67010048    
   .RHS. demand_fit['276',XL] 19.6382004    
   .RHS. demand_fit['280',XL] 12.28718592    
   .RHS. demand_fit['282',XL] 27.49348056    
   .RHS. demand_fit['283',XL] 18.08741904    
   .RHS. demand_fit['293',XL] 8.19145728    
   .RHS. demand_fit['298',XL] 16.38291456    
   .RHS. demand_fit['299',XL] 28.67010048    
   .RHS. demand_fit['301',XL] 15.71056032    
   .RHS. demand_fit['309',XL] 19.6382004    
   .RHS. demand_fit['310',XL] 22.6092738    
   .RHS. demand_fit['375',XL] 19.6382004    
   .RHS. demand_fit['378',XL] 11.78292024    
   .RHS. demand_fit['379',XL] 31.65298332    
   .RHS. demand_fit['381',XL] 11.78292024    
   .RHS. demand_fit['383',XL] 20.4786432    
   .RHS. demand_fit['384',XL] 27.49348056    
   .RHS. demand_fit['386',XL] 15.71056032    
   .RHS. demand_fit['388',XL] 20.4786432    
   .RHS. demand_fit['389',XL] 32.76582912    
   .RHS. demand_fit['390',XL] 39.2764008    
   .RHS. demand_fit['397',XL] 19.6382004    
   .RHS. demand_fit['398',XL] 31.42112064    
   .RHS. demand_fit['403',XL] 45.2185476    
   .RHS. demand_fit['418',XL] 15.71056032    
   .RHS. demand_fit['430',XL] 15.71056032    
   .RHS. demand_fit['431',XL] 18.08741904    
   .RHS. demand_fit['479',XL] 11.78292024    
   .RHS. demand_fit['502',XL] 12.28718592    
   .RHS. demand_fit['504',XL] 20.4786432    
   .RHS. demand_fit['512',XL] 16.38291456    
   .RHS. demand_fit['528',XL] 8.19145728    
   .RHS. demand_fit['533',XL] 16.38291456    
   .RHS. demand_fit['538',XL] 20.4786432    
   .RHS. demand_fit['552',XL] 18.08741904    
   .RHS. demand_fit['621',XL] 31.65298332    
   .RHS. demand_fit['639',XL] 7.85528016    
   .RHS. demand_fit['712',XL] 11.78292024    
   .RHS. demand_fit['781',XL] 19.6382004    
BOUNDS  
 FX .BOUNDS. NumLooseInners['71',Pack1] 0    
 FX .BOUNDS. NumLooseInners['73',Pack1] 0    
 FX .BOUNDS. NumLooseInners['86',Pack1] 0    
 FX .BOUNDS. NumLooseInners['99',Pack1] 0    
 FX .BOUNDS. NumLooseInners['103',Pack1] 0    
 FX .BOUNDS. NumLooseInners['126',Pack1] 0    
 FX .BOUNDS. NumLooseInners['221',Pack1] 0    
 FX .BOUNDS. NumLooseInners['225',Pack1] 0    
 FX .BOUNDS. NumLooseInners['251',Pack1] 0    
 FX .BOUNDS. NumLooseInners['270',Pack1] 0    
 FX .BOUNDS. NumLooseInners['272',Pack1] 0    
 FX .BOUNDS. NumLooseInners['275',Pack1] 0    
 FX .BOUNDS. NumLooseInners['276',Pack1] 0    
 FX .BOUNDS. NumLooseInners['280',Pack1] 0    
 FX .BOUNDS. NumLooseInners['282',Pack1] 0    
 FX .BOUNDS. NumLooseInners['283',Pack1] 0    
 FX .BOUNDS. NumLooseInners['293',Pack1] 0    
 FX .BOUNDS. NumLooseInners['298',Pack1] 0    
 FX .BOUNDS. NumLooseInners['299',Pack1] 0    
 FX .BOUNDS. NumLooseInners['301',Pack1] 0    
 FX .BOUNDS. NumLooseInners['309',Pack1] 0    
 FX .BOUNDS. NumLooseInners['310',Pack1] 0    
 FX .BOUNDS. NumLooseInners['375',Pack1] 0    
 FX .BOUNDS. NumLooseInners['378',Pack1] 0    
 FX .BOUNDS. NumLooseInners['379',Pack1] 0    
 FX .BOUNDS. NumLooseInners['381',Pack1] 0    
 FX .BOUNDS. NumLooseInners['383',Pack1] 0    
 FX .BOUNDS. NumLooseInners['384',Pack1] 0    
 FX .BOUNDS. NumLooseInners['386',Pack1] 0    
 FX .BOUNDS. NumLooseInners['388',Pack1] 0    
 FX .BOUNDS. NumLooseInners['389',Pack1] 0    
 FX .BOUNDS. NumLooseInners['390',Pack1] 0    
 FX .BOUNDS. NumLooseInners['397',Pack1] 0    
 FX .BOUNDS. NumLooseInners['398',Pack1] 0    
 FX .BOUNDS. NumLooseInners['403',Pack1] 0    
 FX .BOUNDS. NumLooseInners['418',Pack1] 0    
 FX .BOUNDS. NumLooseInners['430',Pack1] 0    
 FX .BOUNDS. NumLooseInners['431',Pack1] 0    
 FX .BOUNDS. NumLooseInners['479',Pack1] 0    
 FX .BOUNDS. NumLooseInners['502',Pack1] 0    
 FX .BOUNDS. NumLooseInners['504',Pack1] 0    
 FX .BOUNDS. NumLooseInners['512',Pack1] 0    
 FX .BOUNDS. NumLooseInners['528',Pack1] 0    
 FX .BOUNDS. NumLooseInners['533',Pack1] 0    
 FX .BOUNDS. NumLooseInners['538',Pack1] 0    
 FX .BOUNDS. NumLooseInners['552',Pack1] 0    
 FX .BOUNDS. NumLooseInners['621',Pack1] 0    
 FX .BOUNDS. NumLooseInners['639',Pack1] 0    
 FX .BOUNDS. NumLooseInners['712',Pack1] 0    
 FX .BOUNDS. NumLooseInners['781',Pack1] 0    
 FX .BOUNDS. NumLooseInners['71',Pack2] 0    
 FX .BOUNDS. NumLooseInners['73',Pack2] 0    
 FX .BOUNDS. NumLooseInners['86',Pack2] 0    
 FX .BOUNDS. NumLooseInners['99',Pack2] 0    
 FX .BOUNDS. NumLooseInners['103',Pack2] 0    
 FX .BOUNDS. NumLooseInners['126',Pack2] 0    
 FX .BOUNDS. NumLooseInners['221',Pack2] 0    
 FX .BOUNDS. NumLooseInners['225',Pack2] 0    
 FX .BOUNDS. NumLooseInners['251',Pack2] 0    
 FX .BOUNDS. NumLooseInners['270',Pack2] 0    
 FX .BOUNDS. NumLooseInners['272',Pack2] 0    
 FX .BOUNDS. NumLooseInners['275',Pack2] 0    
 FX .BOUNDS. NumLooseInners['276',Pack2] 0    
 FX .BOUNDS. NumLooseInners['280',Pack2] 0    
 FX .BOUNDS. NumLooseInners['282',Pack2] 0    
 FX .BOUNDS. NumLooseInners['283',Pack2] 0    
 FX .BOUNDS. NumLooseInners['293',Pack2] 0    
 FX .BOUNDS. NumLooseInners['298',Pack2] 0    
 FX .BOUNDS. NumLooseInners['299',Pack2] 0    
 FX .BOUNDS. NumLooseInners['301',Pack2] 0    
 FX .BOUNDS. NumLooseInners['309',Pack2] 0    
 FX .BOUNDS. NumLooseInners['310',Pack2] 0    
 FX .BOUNDS. NumLooseInners['375',Pack2] 0    
 FX .BOUNDS. NumLooseInners['378',Pack2] 0    
 FX .BOUNDS. NumLooseInners['379',Pack2] 0    
 FX .BOUNDS. NumLooseInners['381',Pack2] 0    
 FX .BOUNDS. NumLooseInners['383',Pack2] 0    
 FX .BOUNDS. NumLooseInners['384',Pack2] 0    
 FX .BOUNDS. NumLooseInners['386',Pack2] 0    
 FX .BOUNDS. NumLooseInners['388',Pack2] 0    
 FX .BOUNDS. NumLooseInners['389',Pack2] 0    
 FX .BOUNDS. NumLooseInners['390',Pack2] 0    
 FX .BOUNDS. NumLooseInners['397',Pack2] 0    
 FX .BOUNDS. NumLooseInners['398',Pack2] 0    
 FX .BOUNDS. NumLooseInners['403',Pack2] 0    
 FX .BOUNDS. NumLooseInners['418',Pack2] 0    
 FX .BOUNDS. NumLooseInners['430',Pack2] 0    
 FX .BOUNDS. NumLooseInners['431',Pack2] 0    
 FX .BOUNDS. NumLooseInners['479',Pack2] 0    
 FX .BOUNDS. NumLooseInners['502',Pack2] 0    
 FX .BOUNDS. NumLooseInners['504',Pack2] 0    
 FX .BOUNDS. NumLooseInners['512',Pack2] 0    
 FX .BOUNDS. NumLooseInners['528',Pack2] 0    
 FX .BOUNDS. NumLooseInners['533',Pack2] 0    
 FX .BOUNDS. NumLooseInners['538',Pack2] 0    
 FX .BOUNDS. NumLooseInners['552',Pack2] 0    
 FX .BOUNDS. NumLooseInners['621',Pack2] 0    
 FX .BOUNDS. NumLooseInners['639',Pack2] 0    
 FX .BOUNDS. NumLooseInners['712',Pack2] 0    
 FX .BOUNDS. NumLooseInners['781',Pack2] 0    
 FX .BOUNDS. NumLooseInners['71',Pack3] 0    
 FX .BOUNDS. NumLooseInners['73',Pack3] 0    
 FX .BOUNDS. NumLooseInners['86',Pack3] 0    
 FX .BOUNDS. NumLooseInners['99',Pack3] 0    
 FX .BOUNDS. NumLooseInners['103',Pack3] 0    
 FX .BOUNDS. NumLooseInners['126',Pack3] 0    
 FX .BOUNDS. NumLooseInners['221',Pack3] 0    
 FX .BOUNDS. NumLooseInners['225',Pack3] 0    
 FX .BOUNDS. NumLooseInners['251',Pack3] 0    
 FX .BOUNDS. NumLooseInners['270',Pack3] 0    
 FX .BOUNDS. NumLooseInners['272',Pack3] 0    
 FX .BOUNDS. NumLooseInners['275',Pack3] 0    
 FX .BOUNDS. NumLooseInners['276',Pack3] 0    
 FX .BOUNDS. NumLooseInners['280',Pack3] 0    
 FX .BOUNDS. NumLooseInners['282',Pack3] 0    
 FX .BOUNDS. NumLooseInners['283',Pack3] 0    
 FX .BOUNDS. NumLooseInners['293',Pack3] 0    
 FX .BOUNDS. NumLooseInners['298',Pack3] 0    
 FX .BOUNDS. NumLooseInners['299',Pack3] 0    
 FX .BOUNDS. NumLooseInners['301',Pack3] 0    
 FX .BOUNDS. NumLooseInners['309',Pack3] 0    
 FX .BOUNDS. NumLooseInners['310',Pack3] 0    
 FX .BOUNDS. NumLooseInners['375',Pack3] 0    
 FX .BOUNDS. NumLooseInners['378',Pack3] 0    
 FX .BOUNDS. NumLooseInners['379',Pack3] 0    
 FX .BOUNDS. NumLooseInners['381',Pack3] 0    
 FX .BOUNDS. NumLooseInners['383',Pack3] 0    
 FX .BOUNDS. NumLooseInners['384',Pack3] 0    
 FX .BOUNDS. NumLooseInners['386',Pack3] 0    
 FX .BOUNDS. NumLooseInners['388',Pack3] 0    
 FX .BOUNDS. NumLooseInners['389',Pack3] 0    
 FX .BOUNDS. NumLooseInners['390',Pack3] 0    
 FX .BOUNDS. NumLooseInners['397',Pack3] 0    
 FX .BOUNDS. NumLooseInners['398',Pack3] 0    
 FX .BOUNDS. NumLooseInners['403',Pack3] 0    
 FX .BOUNDS. NumLooseInners['418',Pack3] 0    
 FX .BOUNDS. NumLooseInners['430',Pack3] 0    
 FX .BOUNDS. NumLooseInners['431',Pack3] 0    
 FX .BOUNDS. NumLooseInners['479',Pack3] 0    
 FX .BOUNDS. NumLooseInners['502',Pack3] 0    
 FX .BOUNDS. NumLooseInners['504',Pack3] 0    
 FX .BOUNDS. NumLooseInners['512',Pack3] 0    
 FX .BOUNDS. NumLooseInners['528',Pack3] 0    
 FX .BOUNDS. NumLooseInners['533',Pack3] 0    
 FX .BOUNDS. NumLooseInners['538',Pack3] 0    
 FX .BOUNDS. NumLooseInners['552',Pack3] 0    
 FX .BOUNDS. NumLooseInners['621',Pack3] 0    
 FX .BOUNDS. NumLooseInners['639',Pack3] 0    
 FX .BOUNDS. NumLooseInners['712',Pack3] 0    
 FX .BOUNDS. NumLooseInners['781',Pack3] 0    
 UP .BOUNDS. NumUnopenedOuters['71',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['73',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['86',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['99',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['103',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['126',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['221',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['225',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['251',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['270',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['272',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['275',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['276',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['280',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['282',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['283',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['293',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['298',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['299',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['301',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['309',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['310',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['375',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['378',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['379',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['381',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['383',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['384',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['386',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['388',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['389',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['390',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['397',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['398',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['403',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['418',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['430',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['431',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['479',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['502',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['504',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['512',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['528',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['533',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['538',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['552',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['621',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['639',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['712',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['781',Pack1] 1000    
 UP .BOUNDS. NumUnopenedOuters['71',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['73',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['86',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['99',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['103',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['126',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['221',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['225',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['251',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['270',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['272',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['275',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['276',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['280',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['282',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['283',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['293',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['298',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['299',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['301',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['309',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['310',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['375',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['378',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['379',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['381',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['383',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['384',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['386',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['388',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['389',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['390',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['397',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['398',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['403',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['418',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['430',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['431',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['479',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['502',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['504',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['512',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['528',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['533',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['538',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['552',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['621',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['639',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['712',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['781',Pack2] 1000    
 UP .BOUNDS. NumUnopenedOuters['71',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['73',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['86',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['99',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['103',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['126',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['221',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['225',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['251',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['270',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['272',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['275',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['276',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['280',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['282',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['283',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['293',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['298',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['299',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['301',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['309',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['310',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['375',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['378',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['379',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['381',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['383',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['384',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['386',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['388',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['389',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['390',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['397',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['398',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['403',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['418',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['430',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['431',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['479',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['502',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['504',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['512',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['528',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['533',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['538',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['552',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['621',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['639',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['712',Pack3] 1000    
 UP .BOUNDS. NumUnopenedOuters['781',Pack3] 1000    
 FX .BOUNDS. NumOpenedOuters[Pack1] 0    
 FX .BOUNDS. NumOpenedOuters[Pack2] 0    
 FX .BOUNDS. NumOpenedOuters[Pack3] 0    
 UP .BOUNDS. NumUnder['71',S] 3.64592208    
 UP .BOUNDS. NumUnder['73',S] 6.645651    
 UP .BOUNDS. NumUnder['86',S] 8.46011328    
 UP .BOUNDS. NumUnder['99',S] 5.2875708    
 UP .BOUNDS. NumUnder['103',S] 6.38036364    
 UP .BOUNDS. NumUnder['126',S] 9.3039114    
 UP .BOUNDS. NumUnder['221',S] 8.46011328    
 UP .BOUNDS. NumUnder['225',S] 2.11502832    
 UP .BOUNDS. NumUnder['251',S] 5.2875708    
 UP .BOUNDS. NumUnder['270',S] 2.73444156    
 UP .BOUNDS. NumUnder['272',S] 5.2875708    
 UP .BOUNDS. NumUnder['275',S] 7.40259912    
 UP .BOUNDS. NumUnder['276',S] 6.645651    
 UP .BOUNDS. NumUnder['280',S] 3.17254248    
 UP .BOUNDS. NumUnder['282',S] 9.3039114    
 UP .BOUNDS. NumUnder['283',S] 3.64592208    
 UP .BOUNDS. NumUnder['293',S] 2.11502832    
 UP .BOUNDS. NumUnder['298',S] 4.23005664    
 UP .BOUNDS. NumUnder['299',S] 7.40259912    
 UP .BOUNDS. NumUnder['301',S] 5.3165208    
 UP .BOUNDS. NumUnder['309',S] 6.645651    
 UP .BOUNDS. NumUnder['310',S] 4.5574026    
 UP .BOUNDS. NumUnder['375',S] 6.645651    
 UP .BOUNDS. NumUnder['378',S] 3.9873906    
 UP .BOUNDS. NumUnder['379',S] 6.38036364    
 UP .BOUNDS. NumUnder['381',S] 3.9873906    
 UP .BOUNDS. NumUnder['383',S] 5.2875708    
 UP .BOUNDS. NumUnder['384',S] 9.3039114    
 UP .BOUNDS. NumUnder['386',S] 5.3165208    
 UP .BOUNDS. NumUnder['388',S] 5.2875708    
 UP .BOUNDS. NumUnder['389',S] 8.46011328    
 UP .BOUNDS. NumUnder['390',S] 13.291302    
 UP .BOUNDS. NumUnder['397',S] 6.645651    
 UP .BOUNDS. NumUnder['398',S] 10.6330416    
 UP .BOUNDS. NumUnder['403',S] 9.1148052    
 UP .BOUNDS. NumUnder['418',S] 5.3165208    
 UP .BOUNDS. NumUnder['430',S] 5.3165208    
 UP .BOUNDS. NumUnder['431',S] 3.64592208    
 UP .BOUNDS. NumUnder['479',S] 3.9873906    
 UP .BOUNDS. NumUnder['502',S] 3.17254248    
 UP .BOUNDS. NumUnder['504',S] 5.2875708    
 UP .BOUNDS. NumUnder['512',S] 4.23005664    
 UP .BOUNDS. NumUnder['528',S] 2.11502832    
 UP .BOUNDS. NumUnder['533',S] 4.23005664    
 UP .BOUNDS. NumUnder['538',S] 5.2875708    
 UP .BOUNDS. NumUnder['552',S] 3.64592208    
 UP .BOUNDS. NumUnder['621',S] 6.38036364    
 UP .BOUNDS. NumUnder['639',S] 2.6582604    
 UP .BOUNDS. NumUnder['712',S] 3.9873906    
 UP .BOUNDS. NumUnder['781',S] 6.645651    
 UP .BOUNDS. NumUnder['71',M] 10.64293584    
 UP .BOUNDS. NumUnder['73',M] 15.4621008    
 UP .BOUNDS. NumUnder['86',M] 23.24756064    
 UP .BOUNDS. NumUnder['99',M] 14.5297254    
 UP .BOUNDS. NumUnder['103',M] 18.62513772    
 UP .BOUNDS. NumUnder['126',M] 21.64694112    
 UP .BOUNDS. NumUnder['221',M] 23.24756064    
 UP .BOUNDS. NumUnder['225',M] 5.81189016    
 UP .BOUNDS. NumUnder['251',M] 14.5297254    
 UP .BOUNDS. NumUnder['270',M] 7.98220188    
 UP .BOUNDS. NumUnder['272',M] 14.5297254    
 UP .BOUNDS. NumUnder['275',M] 20.34161556    
 UP .BOUNDS. NumUnder['276',M] 15.4621008    
 UP .BOUNDS. NumUnder['280',M] 8.71783524    
 UP .BOUNDS. NumUnder['282',M] 21.64694112    
 UP .BOUNDS. NumUnder['283',M] 10.64293584    
 UP .BOUNDS. NumUnder['293',M] 5.81189016    
 UP .BOUNDS. NumUnder['298',M] 11.62378032    
 UP .BOUNDS. NumUnder['299',M] 20.34161556    
 UP .BOUNDS. NumUnder['301',M] 12.36968064    
 UP .BOUNDS. NumUnder['309',M] 15.4621008    
 UP .BOUNDS. NumUnder['310',M] 13.3036698    
 UP .BOUNDS. NumUnder['375',M] 15.4621008    
 UP .BOUNDS. NumUnder['378',M] 9.27726048    
 UP .BOUNDS. NumUnder['379',M] 18.62513772    
 UP .BOUNDS. NumUnder['381',M] 9.27726048    
 UP .BOUNDS. NumUnder['383',M] 14.5297254    
 UP .BOUNDS. NumUnder['384',M] 21.64694112    
 UP .BOUNDS. NumUnder['386',M] 12.36968064    
 UP .BOUNDS. NumUnder['388',M] 14.5297254    
 UP .BOUNDS. NumUnder['389',M] 23.24756064    
 UP .BOUNDS. NumUnder['390',M] 30.9242016    
 UP .BOUNDS. NumUnder['397',M] 15.4621008    
 UP .BOUNDS. NumUnder['398',M] 24.73936128    
 UP .BOUNDS. NumUnder['403',M] 26.6073396    
 UP .BOUNDS. NumUnder['418',M] 12.36968064    
 UP .BOUNDS. NumUnder['430',M] 12.36968064    
 UP .BOUNDS. NumUnder['431',M] 10.64293584    
 UP .BOUNDS. NumUnder['479',M] 9.27726048    
 UP .BOUNDS. NumUnder['502',M] 8.71783524    
 UP .BOUNDS. NumUnder['504',M] 14.5297254    
 UP .BOUNDS. NumUnder['512',M] 11.62378032    
 UP .BOUNDS. NumUnder['528',M] 5.81189016    
 UP .BOUNDS. NumUnder['533',M] 11.62378032    
 UP .BOUNDS. NumUnder['538',M] 14.5297254    
 UP .BOUNDS. NumUnder['552',M] 10.64293584    
 UP .BOUNDS. NumUnder['621',M] 18.62513772    
 UP .BOUNDS. NumUnder['639',M] 6.18484032    
 UP .BOUNDS. NumUnder['712',M] 9.27726048    
 UP .BOUNDS. NumUnder['781',M] 15.4621008    
 UP .BOUNDS. NumUnder['71',L] 15.62372304    
 UP .BOUNDS. NumUnder['73',L] 18.2540478    
 UP .BOUNDS. NumUnder['86',L] 31.526496    
 UP .BOUNDS. NumUnder['99',L] 19.70406    
 UP .BOUNDS. NumUnder['103',L] 27.34151532    
 UP .BOUNDS. NumUnder['126',L] 25.55566692    
 UP .BOUNDS. NumUnder['221',L] 31.526496    
 UP .BOUNDS. NumUnder['225',L] 7.881624    
 UP .BOUNDS. NumUnder['251',L] 19.70406    
 UP .BOUNDS. NumUnder['270',L] 11.71779228    
 UP .BOUNDS. NumUnder['272',L] 19.70406    
 UP .BOUNDS. NumUnder['275',L] 27.585684    
 UP .BOUNDS. NumUnder['276',L] 18.2540478    
 UP .BOUNDS. NumUnder['280',L] 11.822436    
 UP .BOUNDS. NumUnder['282',L] 25.55566692    
 UP .BOUNDS. NumUnder['283',L] 15.62372304    
 UP .BOUNDS. NumUnder['293',L] 7.881624    
 UP .BOUNDS. NumUnder['298',L] 15.763248    
 UP .BOUNDS. NumUnder['299',L] 27.585684    
 UP .BOUNDS. NumUnder['301',L] 14.60323824    
 UP .BOUNDS. NumUnder['309',L] 18.2540478    
 UP .BOUNDS. NumUnder['310',L] 19.5296538    
 UP .BOUNDS. NumUnder['375',L] 18.2540478    
 UP .BOUNDS. NumUnder['378',L] 10.95242868    
 UP .BOUNDS. NumUnder['379',L] 27.34151532    
 UP .BOUNDS. NumUnder['381',L] 10.95242868    
 UP .BOUNDS. NumUnder['383',L] 19.70406    
 UP .BOUNDS. NumUnder['384',L] 25.55566692    
 UP .BOUNDS. NumUnder['386',L] 14.60323824    
 UP .BOUNDS. NumUnder['388',L] 19.70406    
 UP .BOUNDS. NumUnder['389',L] 31.526496    
 UP .BOUNDS. NumUnder['390',L] 36.5080956    
 UP .BOUNDS. NumUnder['397',L] 18.2540478    
 UP .BOUNDS. NumUnder['398',L] 29.20647648    
 UP .BOUNDS. NumUnder['403',L] 39.0593076    
 UP .BOUNDS. NumUnder['418',L] 14.60323824    
 UP .BOUNDS. NumUnder['430',L] 14.60323824    
 UP .BOUNDS. NumUnder['431',L] 15.62372304    
 UP .BOUNDS. NumUnder['479',L] 10.95242868    
 UP .BOUNDS. NumUnder['502',L] 11.822436    
 UP .BOUNDS. NumUnder['504',L] 19.70406    
 UP .BOUNDS. NumUnder['512',L] 15.763248    
 UP .BOUNDS. NumUnder['528',L] 7.881624    
 UP .BOUNDS. NumUnder['533',L] 15.763248    
 UP .BOUNDS. NumUnder['538',L] 19.70406    
 UP .BOUNDS. NumUnder['552',L] 15.62372304    
 UP .BOUNDS. NumUnder['621',L] 27.34151532    
 UP .BOUNDS. NumUnder['639',L] 7.30161912    
 UP .BOUNDS. NumUnder['712',L] 10.95242868    
 UP .BOUNDS. NumUnder['781',L] 18.2540478    
 UP .BOUNDS. NumUnder['71',XL] 18.08741904    
 UP .BOUNDS. NumUnder['73',XL] 19.6382004    
 UP .BOUNDS. NumUnder['86',XL] 32.76582912    
 UP .BOUNDS. NumUnder['99',XL] 20.4786432    
 UP .BOUNDS. NumUnder['103',XL] 31.65298332    
 UP .BOUNDS. NumUnder['126',XL] 27.49348056    
 UP .BOUNDS. NumUnder['221',XL] 32.76582912    
 UP .BOUNDS. NumUnder['225',XL] 8.19145728    
 UP .BOUNDS. NumUnder['251',XL] 20.4786432    
 UP .BOUNDS. NumUnder['270',XL] 13.56556428    
 UP .BOUNDS. NumUnder['272',XL] 20.4786432    
 UP .BOUNDS. NumUnder['275',XL] 28.67010048    
 UP .BOUNDS. NumUnder['276',XL] 19.6382004    
 UP .BOUNDS. NumUnder['280',XL] 12.28718592    
 UP .BOUNDS. NumUnder['282',XL] 27.49348056    
 UP .BOUNDS. NumUnder['283',XL] 18.08741904    
 UP .BOUNDS. NumUnder['293',XL] 8.19145728    
 UP .BOUNDS. NumUnder['298',XL] 16.38291456    
 UP .BOUNDS. NumUnder['299',XL] 28.67010048    
 UP .BOUNDS. NumUnder['301',XL] 15.71056032    
 UP .BOUNDS. NumUnder['309',XL] 19.6382004    
 UP .BOUNDS. NumUnder['310',XL] 22.6092738    
 UP .BOUNDS. NumUnder['375',XL] 19.6382004    
 UP .BOUNDS. NumUnder['378',XL] 11.78292024    
 UP .BOUNDS. NumUnder['379',XL] 31.65298332    
 UP .BOUNDS. NumUnder['381',XL] 11.78292024    
 UP .BOUNDS. NumUnder['383',XL] 20.4786432    
 UP .BOUNDS. NumUnder['384',XL] 27.49348056    
 UP .BOUNDS. NumUnder['386',XL] 15.71056032    
 UP .BOUNDS. NumUnder['388',XL] 20.4786432    
 UP .BOUNDS. NumUnder['389',XL] 32.76582912    
 UP .BOUNDS. NumUnder['390',XL] 39.2764008    
 UP .BOUNDS. NumUnder['397',XL] 19.6382004    
 UP .BOUNDS. NumUnder['398',XL] 31.42112064    
 UP .BOUNDS. NumUnder['403',XL] 45.2185476    
 UP .BOUNDS. NumUnder['418',XL] 15.71056032    
 UP .BOUNDS. NumUnder['430',XL] 15.71056032    
 UP .BOUNDS. NumUnder['431',XL] 18.08741904    
 UP .BOUNDS. NumUnder['479',XL] 11.78292024    
 UP .BOUNDS. NumUnder['502',XL] 12.28718592    
 UP .BOUNDS. NumUnder['504',XL] 20.4786432    
 UP .BOUNDS. NumUnder['512',XL] 16.38291456    
 UP .BOUNDS. NumUnder['528',XL] 8.19145728    
 UP .BOUNDS. NumUnder['533',XL] 16.38291456    
 UP .BOUNDS. NumUnder['538',XL] 20.4786432    
 UP .BOUNDS. NumUnder['552',XL] 18.08741904    
 UP .BOUNDS. NumUnder['621',XL] 31.65298332    
 UP .BOUNDS. NumUnder['639',XL] 7.85528016    
 UP .BOUNDS. NumUnder['712',XL] 11.78292024    
 UP .BOUNDS. NumUnder['781',XL] 19.6382004    
ENDATA  
